Add the tag `hide` or the tag `outlines` to any tiddler to keep it from appearing in the 'simple transclude' view of the references from other tiddlers. Tiddlers with either tag will appear here.

<<list-search
"[!is[system]tag[outlines]] [!is[system]tag[hide]] +[sort[title]]"
"search"
"$:/temp/list-search-example"
"$:/core/ui/ListItemTemplate"
placeholder:"" >>

Tag tiddlers with the tag `sources` if they are book chapters, articles, or webpages. They will appear here and will also appear as references below the tiddlers linked to from them.

<<list-search
"[!is[system]tag[sources]sort[title]]"
"search"
"$:/temp/list-search-example"
"$:/core/ui/ListItemTemplate"
placeholder:"" >>

/*
Viz.js 2.0.0 (Graphviz 2.40.1, Emscripten 1.37.36)
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tempDoublePtr=STATICTOP;STATICTOP+=16;function ___assert_fail(condition,filename,line,func){abort("Assertion failed: "+Pointer_stringify(condition)+", at: "+[filename?Pointer_stringify(filename):"unknown filename",line,func?Pointer_stringify(func):"unknown function"])}function _emscripten_get_now(){abort()}function _emscripten_get_now_is_monotonic(){return ENVIRONMENT_IS_NODE||typeof dateNow!=="undefined"||(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&self["performance"]&&self["performance"]["now"]}var ERRNO_CODES={EPERM:1,ENOENT:2,ESRCH:3,EINTR:4,EIO:5,ENXIO:6,E2BIG:7,ENOEXEC:8,EBADF:9,ECHILD:10,EAGAIN:11,EWOULDBLOCK:11,ENOMEM:12,EACCES:13,EFAULT:14,ENOTBLK:15,EBUSY:16,EEXIST:17,EXDEV:18,ENODEV:19,ENOTDIR:20,EISDIR:21,EINVAL:22,ENFILE:23,EMFILE:24,ENOTTY:25,ETXTBSY:26,EFBIG:27,ENOSPC:28,ESPIPE:29,EROFS:30,EMLINK:31,EPIPE:32,EDOM:33,ERANGE:34,ENOMSG:42,EIDRM:43,ECHRNG:44,EL2NSYNC:45,EL3HLT:46,EL3RST:47,ELNRNG:48,EUNATCH:49,ENOCSI:50,EL2HLT:51,EDEADLK:35,ENOLCK:37,EBADE:52,EBADR:53,EXFULL:54,ENOANO:55,EBADRQC:56,EBADSLT:57,EDEADLOCK:35,EBFONT:59,ENOSTR:60,ENODATA:61,ETIME:62,ENOSR:63,ENONET:64,ENOPKG:65,EREMOTE:66,ENOLINK:67,EADV:68,ESRMNT:69,ECOMM:70,EPROTO:71,EMULTIHOP:72,EDOTDOT:73,EBADMSG:74,ENOTUNIQ:76,EBADFD:77,EREMCHG:78,ELIBACC:79,ELIBBAD:80,ELIBSCN:81,ELIBMAX:82,ELIBEXEC:83,ENOSYS:38,ENOTEMPTY:39,ENAMETOOLONG:36,ELOOP:40,EOPNOTSUPP:95,EPFNOSUPPORT:96,ECONNRESET:104,ENOBUFS:105,EAFNOSUPPORT:97,EPROTOTYPE:91,ENOTSOCK:88,ENOPROTOOPT:92,ESHUTDOWN:108,ECONNREFUSED:111,EADDRINUSE:98,ECONNABORTED:103,ENETUNREACH:101,ENETDOWN:100,ETIMEDOUT:110,EHOSTDOWN:112,EHOSTUNREACH:113,EINPROGRESS:115,EALREADY:114,EDESTADDRREQ:89,EMSGSIZE:90,EPROTONOSUPPORT:93,ESOCKTNOSUPPORT:94,EADDRNOTAVAIL:99,ENETRESET:102,EISCONN:106,ENOTCONN:107,ETOOMANYREFS:109,EUSERS:87,EDQUOT:122,ESTALE:116,ENOTSUP:95,ENOMEDIUM:123,EILSEQ:84,EOVERFLOW:75,ECANCELED:125,ENOTRECOVERABLE:131,EOWNERDEAD:130,ESTRPIPE:86};function ___setErrNo(value){if(Module["___errno_location"])HEAP32[Module["___errno_location"]()>>2]=value;return value}function _clock_gettime(clk_id,tp){var now;if(clk_id===0){now=Date.now()}else if(clk_id===1&&_emscripten_get_now_is_monotonic()){now=_emscripten_get_now()}else{___setErrNo(ERRNO_CODES.EINVAL);return-1}HEAP32[tp>>2]=now/1e3|0;HEAP32[tp+4>>2]=now%1e3*1e3*1e3|0;return 0}function ___clock_gettime(){return _clock_gettime.apply(null,arguments)}function ___lock(){}function ___map_file(pathname,size){___setErrNo(ERRNO_CODES.EPERM);return-1}var ERRNO_MESSAGES={0:"Success",1:"Not super-user",2:"No such file or directory",3:"No such process",4:"Interrupted system call",5:"I/O error",6:"No such device or address",7:"Arg list too long",8:"Exec format error",9:"Bad file number",10:"No children",11:"No more processes",12:"Not enough core",13:"Permission denied",14:"Bad address",15:"Block device required",16:"Mount device busy",17:"File exists",18:"Cross-device link",19:"No such device",20:"Not a directory",21:"Is a directory",22:"Invalid argument",23:"Too many open files in system",24:"Too many open files",25:"Not a typewriter",26:"Text file busy",27:"File too large",28:"No space left on device",29:"Illegal seek",30:"Read only file system",31:"Too many links",32:"Broken pipe",33:"Math arg out of domain of func",34:"Math result not representable",35:"File locking deadlock error",36:"File or path name too long",37:"No record locks available",38:"Function not implemented",39:"Directory not empty",40:"Too many symbolic links",42:"No message of desired type",43:"Identifier removed",44:"Channel number out of range",45:"Level 2 not synchronized",46:"Level 3 halted",47:"Level 3 reset",48:"Link number out of range",49:"Protocol driver not attached",50:"No CSI structure available",51:"Level 2 halted",52:"Invalid exchange",53:"Invalid request descriptor",54:"Exchange full",55:"No anode",56:"Invalid request code",57:"Invalid slot",59:"Bad font file fmt",60:"Device not a stream",61:"No data (for no delay io)",62:"Timer expired",63:"Out of streams resources",64:"Machine is not on the network",65:"Package not installed",66:"The object is remote",67:"The link has been severed",68:"Advertise error",69:"Srmount error",70:"Communication error on send",71:"Protocol error",72:"Multihop attempted",73:"Cross mount point (not really error)",74:"Trying to read unreadable message",75:"Value too large for defined data type",76:"Given log. name not unique",77:"f.d. invalid for this operation",78:"Remote address changed",79:"Can   access a needed shared lib",80:"Accessing a corrupted shared lib",81:".lib section in a.out corrupted",82:"Attempting to link in too many libs",83:"Attempting to exec a shared library",84:"Illegal byte sequence",86:"Streams pipe error",87:"Too many users",88:"Socket operation on non-socket",89:"Destination address required",90:"Message too long",91:"Protocol wrong type for socket",92:"Protocol not available",93:"Unknown protocol",94:"Socket type not supported",95:"Not supported",96:"Protocol family not supported",97:"Address family not supported by protocol family",98:"Address already in use",99:"Address not available",100:"Network interface is not configured",101:"Network is unreachable",102:"Connection reset by network",103:"Connection aborted",104:"Connection reset by peer",105:"No buffer space available",106:"Socket is already connected",107:"Socket is not connected",108:"Can't send after socket shutdown",109:"Too many references",110:"Connection timed out",111:"Connection refused",112:"Host is down",113:"Host is unreachable",114:"Socket already connected",115:"Connection already in progress",116:"Stale file handle",122:"Quota exceeded",123:"No medium (in tape drive)",125:"Operation canceled",130:"Previous owner died",131:"State not recoverable"};var PATH={splitPath:(function(filename){var splitPathRe=/^(\/?|)([\s\S]*?)((?:\.{1,2}|[^\/]+?|)(\.[^.\/]*|))(?:[\/]*)$/;return splitPathRe.exec(filename).slice(1)}),normalizeArray:(function(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last==="."){parts.splice(i,1)}else if(last===".."){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift("..")}}return parts}),normalize:(function(path){var isAbsolute=path.charAt(0)==="/",trailingSlash=path.substr(-1)==="/";path=PATH.normalizeArray(path.split("/").filter((function(p){return!!p})),!isAbsolute).join("/");if(!path&&!isAbsolute){path="."}if(path&&trailingSlash){path+="/"}return(isAbsolute?"/":"")+path}),dirname:(function(path){var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return"."}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir}),basename:(function(path){if(path==="/")return"/";var lastSlash=path.lastIndexOf("/");if(lastSlash===-1)return path;return path.substr(lastSlash+1)}),extname:(function(path){return PATH.splitPath(path)[3]}),join:(function(){var paths=Array.prototype.slice.call(arguments,0);return PATH.normalize(paths.join("/"))}),join2:(function(l,r){return PATH.normalize(l+"/"+r)}),resolve:(function(){var resolvedPath="",resolvedAbsolute=false;for(var i=arguments.length-1;i>=-1&&!resolvedAbsolute;i--){var path=i>=0?arguments[i]:FS.cwd();if(typeof path!=="string"){throw new TypeError("Arguments to path.resolve must be strings")}else if(!path){return""}resolvedPath=path+"/"+resolvedPath;resolvedAbsolute=path.charAt(0)==="/"}resolvedPath=PATH.normalizeArray(resolvedPath.split("/").filter((function(p){return!!p})),!resolvedAbsolute).join("/");return(resolvedAbsolute?"/":"")+resolvedPath||"."}),relative:(function(from,to){from=PATH.resolve(from).substr(1);to=PATH.resolve(to).substr(1);function trim(arr){var start=0;for(;start<arr.length;start++){if(arr[start]!=="")break}var end=arr.length-1;for(;end>=0;end--){if(arr[end]!=="")break}if(start>end)return[];return arr.slice(start,end-start+1)}var fromParts=trim(from.split("/"));var toParts=trim(to.split("/"));var length=Math.min(fromParts.length,toParts.length);var samePartsLength=length;for(var i=0;i<length;i++){if(fromParts[i]!==toParts[i]){samePartsLength=i;break}}var outputParts=[];for(var i=samePartsLength;i<fromParts.length;i++){outputParts.push("..")}outputParts=outputParts.concat(toParts.slice(samePartsLength));return outputParts.join("/")})};var TTY={ttys:[],init:(function(){}),shutdown:(function(){}),register:(function(dev,ops){TTY.ttys[dev]={input:[],output:[],ops:ops};FS.registerDevice(dev,TTY.stream_ops)}),stream_ops:{open:(function(stream){var tty=TTY.ttys[stream.node.rdev];if(!tty){throw new FS.ErrnoError(ERRNO_CODES.ENODEV)}stream.tty=tty;stream.seekable=false}),close:(function(stream){stream.tty.ops.flush(stream.tty)}),flush:(function(stream){stream.tty.ops.flush(stream.tty)}),read:(function(stream,buffer,offset,length,pos){if(!stream.tty||!stream.tty.ops.get_char){throw new FS.ErrnoError(ERRNO_CODES.ENXIO)}var bytesRead=0;for(var i=0;i<length;i++){var result;try{result=stream.tty.ops.get_char(stream.tty)}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EIO)}if(result===undefined&&bytesRead===0){throw new FS.ErrnoError(ERRNO_CODES.EAGAIN)}if(result===null||result===undefined)break;bytesRead++;buffer[offset+i]=result}if(bytesRead){stream.node.timestamp=Date.now()}return bytesRead}),write:(function(stream,buffer,offset,length,pos){if(!stream.tty||!stream.tty.ops.put_char){throw new FS.ErrnoError(ERRNO_CODES.ENXIO)}for(var i=0;i<length;i++){try{stream.tty.ops.put_char(stream.tty,buffer[offset+i])}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EIO)}}if(length){stream.node.timestamp=Date.now()}return i})},default_tty_ops:{get_char:(function(tty){if(!tty.input.length){var result=null;if(ENVIRONMENT_IS_NODE){var BUFSIZE=256;var buf=new Buffer(BUFSIZE);var bytesRead=0;var isPosixPlatform=process.platform!="win32";var fd=process.stdin.fd;if(isPosixPlatform){var usingDevice=false;try{fd=fs.openSync("/dev/stdin","r");usingDevice=true}catch(e){}}try{bytesRead=fs.readSync(fd,buf,0,BUFSIZE,null)}catch(e){if(e.toString().indexOf("EOF")!=-1)bytesRead=0;else throw e}if(usingDevice){fs.closeSync(fd)}if(bytesRead>0){result=buf.slice(0,bytesRead).toString("utf-8")}else{result=null}}else if(typeof window!="undefined"&&typeof window.prompt=="function"){result=window.prompt("Input: ");if(result!==null){result+="\n"}}else if(typeof readline=="function"){result=readline();if(result!==null){result+="\n"}}if(!result){return null}tty.input=intArrayFromString(result,true)}return tty.input.shift()}),put_char:(function(tty,val){if(val===null||val===10){Module["print"](UTF8ArrayToString(tty.output,0));tty.output=[]}else{if(val!=0)tty.output.push(val)}}),flush:(function(tty){if(tty.output&&tty.output.length>0){Module["print"](UTF8ArrayToString(tty.output,0));tty.output=[]}})},default_tty1_ops:{put_char:(function(tty,val){if(val===null||val===10){Module["printErr"](UTF8ArrayToString(tty.output,0));tty.output=[]}else{if(val!=0)tty.output.push(val)}}),flush:(function(tty){if(tty.output&&tty.output.length>0){Module["printErr"](UTF8ArrayToString(tty.output,0));tty.output=[]}})}};var MEMFS={ops_table:null,mount:(function(mount){return MEMFS.createNode(null,"/",16384|511,0)}),createNode:(function(parent,name,mode,dev){if(FS.isBlkdev(mode)||FS.isFIFO(mode)){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}if(!MEMFS.ops_table){MEMFS.ops_table={dir:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr,lookup:MEMFS.node_ops.lookup,mknod:MEMFS.node_ops.mknod,rename:MEMFS.node_ops.rename,unlink:MEMFS.node_ops.unlink,rmdir:MEMFS.node_ops.rmdir,readdir:MEMFS.node_ops.readdir,symlink:MEMFS.node_ops.symlink},stream:{llseek:MEMFS.stream_ops.llseek}},file:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr},stream:{llseek:MEMFS.stream_ops.llseek,read:MEMFS.stream_ops.read,write:MEMFS.stream_ops.write,allocate:MEMFS.stream_ops.allocate,mmap:MEMFS.stream_ops.mmap,msync:MEMFS.stream_ops.msync}},link:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr,readlink:MEMFS.node_ops.readlink},stream:{}},chrdev:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr},stream:FS.chrdev_stream_ops}}}var node=FS.createNode(parent,name,mode,dev);if(FS.isDir(node.mode)){node.node_ops=MEMFS.ops_table.dir.node;node.stream_ops=MEMFS.ops_table.dir.stream;node.contents={}}else if(FS.isFile(node.mode)){node.node_ops=MEMFS.ops_table.file.node;node.stream_ops=MEMFS.ops_table.file.stream;node.usedBytes=0;node.contents=null}else if(FS.isLink(node.mode)){node.node_ops=MEMFS.ops_table.link.node;node.stream_ops=MEMFS.ops_table.link.stream}else if(FS.isChrdev(node.mode)){node.node_ops=MEMFS.ops_table.chrdev.node;node.stream_ops=MEMFS.ops_table.chrdev.stream}node.timestamp=Date.now();if(parent){parent.contents[name]=node}return node}),getFileDataAsRegularArray:(function(node){if(node.contents&&node.contents.subarray){var arr=[];for(var i=0;i<node.usedBytes;++i)arr.push(node.contents[i]);return arr}return node.contents}),getFileDataAsTypedArray:(function(node){if(!node.contents)return new Uint8Array;if(node.contents.subarray)return node.contents.subarray(0,node.usedBytes);return new Uint8Array(node.contents)}),expandFileStorage:(function(node,newCapacity){if(node.contents&&node.contents.subarray&&newCapacity>node.contents.length){node.contents=MEMFS.getFileDataAsRegularArray(node);node.usedBytes=node.contents.length}if(!node.contents||node.contents.subarray){var prevCapacity=node.contents?node.contents.length:0;if(prevCapacity>=newCapacity)return;var CAPACITY_DOUBLING_MAX=1024*1024;newCapacity=Math.max(newCapacity,prevCapacity*(prevCapacity<CAPACITY_DOUBLING_MAX?2:1.125)|0);if(prevCapacity!=0)newCapacity=Math.max(newCapacity,256);var oldContents=node.contents;node.contents=new Uint8Array(newCapacity);if(node.usedBytes>0)node.contents.set(oldContents.subarray(0,node.usedBytes),0);return}if(!node.contents&&newCapacity>0)node.contents=[];while(node.contents.length<newCapacity)node.contents.push(0)}),resizeFileStorage:(function(node,newSize){if(node.usedBytes==newSize)return;if(newSize==0){node.contents=null;node.usedBytes=0;return}if(!node.contents||node.contents.subarray){var oldContents=node.contents;node.contents=new Uint8Array(new ArrayBuffer(newSize));if(oldContents){node.contents.set(oldContents.subarray(0,Math.min(newSize,node.usedBytes)))}node.usedBytes=newSize;return}if(!node.contents)node.contents=[];if(node.contents.length>newSize)node.contents.length=newSize;else while(node.contents.length<newSize)node.contents.push(0);node.usedBytes=newSize}),node_ops:{getattr:(function(node){var attr={};attr.dev=FS.isChrdev(node.mode)?node.id:1;attr.ino=node.id;attr.mode=node.mode;attr.nlink=1;attr.uid=0;attr.gid=0;attr.rdev=node.rdev;if(FS.isDir(node.mode)){attr.size=4096}else if(FS.isFile(node.mode)){attr.size=node.usedBytes}else if(FS.isLink(node.mode)){attr.size=node.link.length}else{attr.size=0}attr.atime=new Date(node.timestamp);attr.mtime=new Date(node.timestamp);attr.ctime=new Date(node.timestamp);attr.blksize=4096;attr.blocks=Math.ceil(attr.size/attr.blksize);return attr}),setattr:(function(node,attr){if(attr.mode!==undefined){node.mode=attr.mode}if(attr.timestamp!==undefined){node.timestamp=attr.timestamp}if(attr.size!==undefined){MEMFS.resizeFileStorage(node,attr.size)}}),lookup:(function(parent,name){throw FS.genericErrors[ERRNO_CODES.ENOENT]}),mknod:(function(parent,name,mode,dev){return MEMFS.createNode(parent,name,mode,dev)}),rename:(function(old_node,new_dir,new_name){if(FS.isDir(old_node.mode)){var new_node;try{new_node=FS.lookupNode(new_dir,new_name)}catch(e){}if(new_node){for(var i in new_node.contents){throw new FS.ErrnoError(ERRNO_CODES.ENOTEMPTY)}}}delete old_node.parent.contents[old_node.name];old_node.name=new_name;new_dir.contents[new_name]=old_node;old_node.parent=new_dir}),unlink:(function(parent,name){delete parent.contents[name]}),rmdir:(function(parent,name){var node=FS.lookupNode(parent,name);for(var i in node.contents){throw new FS.ErrnoError(ERRNO_CODES.ENOTEMPTY)}delete parent.contents[name]}),readdir:(function(node){var entries=[".",".."];for(var key in node.contents){if(!node.contents.hasOwnProperty(key)){continue}entries.push(key)}return entries}),symlink:(function(parent,newname,oldpath){var node=MEMFS.createNode(parent,newname,511|40960,0);node.link=oldpath;return node}),readlink:(function(node){if(!FS.isLink(node.mode)){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}return node.link})},stream_ops:{read:(function(stream,buffer,offset,length,position){var contents=stream.node.contents;if(position>=stream.node.usedBytes)return 0;var size=Math.min(stream.node.usedBytes-position,length);assert(size>=0);if(size>8&&contents.subarray){buffer.set(contents.subarray(position,position+size),offset)}else{for(var i=0;i<size;i++)buffer[offset+i]=contents[position+i]}return size}),write:(function(stream,buffer,offset,length,position,canOwn){if(!length)return 0;var node=stream.node;node.timestamp=Date.now();if(buffer.subarray&&(!node.contents||node.contents.subarray)){if(canOwn){node.contents=buffer.subarray(offset,offset+length);node.usedBytes=length;return length}else if(node.usedBytes===0&&position===0){node.contents=new Uint8Array(buffer.subarray(offset,offset+length));node.usedBytes=length;return length}else if(position+length<=node.usedBytes){node.contents.set(buffer.subarray(offset,offset+length),position);return length}}MEMFS.expandFileStorage(node,position+length);if(node.contents.subarray&&buffer.subarray)node.contents.set(buffer.subarray(offset,offset+length),position);else{for(var i=0;i<length;i++){node.contents[position+i]=buffer[offset+i]}}node.usedBytes=Math.max(node.usedBytes,position+length);return length}),llseek:(function(stream,offset,whence){var position=offset;if(whence===1){position+=stream.position}else if(whence===2){if(FS.isFile(stream.node.mode)){position+=stream.node.usedBytes}}if(position<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}return position}),allocate:(function(stream,offset,length){MEMFS.expandFileStorage(stream.node,offset+length);stream.node.usedBytes=Math.max(stream.node.usedBytes,offset+length)}),mmap:(function(stream,buffer,offset,length,position,prot,flags){if(!FS.isFile(stream.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENODEV)}var ptr;var allocated;var contents=stream.node.contents;if(!(flags&2)&&(contents.buffer===buffer||contents.buffer===buffer.buffer)){allocated=false;ptr=contents.byteOffset}else{if(position>0||position+length<stream.node.usedBytes){if(contents.subarray){contents=contents.subarray(position,position+length)}else{contents=Array.prototype.slice.call(contents,position,position+length)}}allocated=true;ptr=_malloc(length);if(!ptr){throw new FS.ErrnoError(ERRNO_CODES.ENOMEM)}buffer.set(contents,ptr)}return{ptr:ptr,allocated:allocated}}),msync:(function(stream,buffer,offset,length,mmapFlags){if(!FS.isFile(stream.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENODEV)}if(mmapFlags&2){return 0}var bytesWritten=MEMFS.stream_ops.write(stream,buffer,0,length,offset,false);return 0})}};var IDBFS={dbs:{},indexedDB:(function(){if(typeof indexedDB!=="undefined")return indexedDB;var ret=null;if(typeof window==="object")ret=window.indexedDB||window.mozIndexedDB||window.webkitIndexedDB||window.msIndexedDB;assert(ret,"IDBFS used, but indexedDB not supported");return ret}),DB_VERSION:21,DB_STORE_NAME:"FILE_DATA",mount:(function(mount){return MEMFS.mount.apply(null,arguments)}),syncfs:(function(mount,populate,callback){IDBFS.getLocalSet(mount,(function(err,local){if(err)return callback(err);IDBFS.getRemoteSet(mount,(function(err,remote){if(err)return callback(err);var src=populate?remote:local;var dst=populate?local:remote;IDBFS.reconcile(src,dst,callback)}))}))}),getDB:(function(name,callback){var db=IDBFS.dbs[name];if(db){return callback(null,db)}var req;try{req=IDBFS.indexedDB().open(name,IDBFS.DB_VERSION)}catch(e){return callback(e)}if(!req){return callback("Unable to connect to IndexedDB")}req.onupgradeneeded=(function(e){var db=e.target.result;var transaction=e.target.transaction;var fileStore;if(db.objectStoreNames.contains(IDBFS.DB_STORE_NAME)){fileStore=transaction.objectStore(IDBFS.DB_STORE_NAME)}else{fileStore=db.createObjectStore(IDBFS.DB_STORE_NAME)}if(!fileStore.indexNames.contains("timestamp")){fileStore.createIndex("timestamp","timestamp",{unique:false})}});req.onsuccess=(function(){db=req.result;IDBFS.dbs[name]=db;callback(null,db)});req.onerror=(function(e){callback(this.error);e.preventDefault()})}),getLocalSet:(function(mount,callback){var entries={};function isRealDir(p){return p!=="."&&p!==".."}function toAbsolute(root){return(function(p){return PATH.join2(root,p)})}var check=FS.readdir(mount.mountpoint).filter(isRealDir).map(toAbsolute(mount.mountpoint));while(check.length){var path=check.pop();var stat;try{stat=FS.stat(path)}catch(e){return callback(e)}if(FS.isDir(stat.mode)){check.push.apply(check,FS.readdir(path).filter(isRealDir).map(toAbsolute(path)))}entries[path]={timestamp:stat.mtime}}return callback(null,{type:"local",entries:entries})}),getRemoteSet:(function(mount,callback){var entries={};IDBFS.getDB(mount.mountpoint,(function(err,db){if(err)return callback(err);try{var transaction=db.transaction([IDBFS.DB_STORE_NAME],"readonly");transaction.onerror=(function(e){callback(this.error);e.preventDefault()});var store=transaction.objectStore(IDBFS.DB_STORE_NAME);var index=store.index("timestamp");index.openKeyCursor().onsuccess=(function(event){var cursor=event.target.result;if(!cursor){return callback(null,{type:"remote",db:db,entries:entries})}entries[cursor.primaryKey]={timestamp:cursor.key};cursor.continue()})}catch(e){return callback(e)}}))}),loadLocalEntry:(function(path,callback){var stat,node;try{var lookup=FS.lookupPath(path);node=lookup.node;stat=FS.stat(path)}catch(e){return callback(e)}if(FS.isDir(stat.mode)){return callback(null,{timestamp:stat.mtime,mode:stat.mode})}else if(FS.isFile(stat.mode)){node.contents=MEMFS.getFileDataAsTypedArray(node);return callback(null,{timestamp:stat.mtime,mode:stat.mode,contents:node.contents})}else{return callback(new Error("node type not supported"))}}),storeLocalEntry:(function(path,entry,callback){try{if(FS.isDir(entry.mode)){FS.mkdir(path,entry.mode)}else if(FS.isFile(entry.mode)){FS.writeFile(path,entry.contents,{canOwn:true})}else{return callback(new Error("node type not supported"))}FS.chmod(path,entry.mode);FS.utime(path,entry.timestamp,entry.timestamp)}catch(e){return callback(e)}callback(null)}),removeLocalEntry:(function(path,callback){try{var lookup=FS.lookupPath(path);var stat=FS.stat(path);if(FS.isDir(stat.mode)){FS.rmdir(path)}else if(FS.isFile(stat.mode)){FS.unlink(path)}}catch(e){return callback(e)}callback(null)}),loadRemoteEntry:(function(store,path,callback){var req=store.get(path);req.onsuccess=(function(event){callback(null,event.target.result)});req.onerror=(function(e){callback(this.error);e.preventDefault()})}),storeRemoteEntry:(function(store,path,entry,callback){var req=store.put(entry,path);req.onsuccess=(function(){callback(null)});req.onerror=(function(e){callback(this.error);e.preventDefault()})}),removeRemoteEntry:(function(store,path,callback){var req=store.delete(path);req.onsuccess=(function(){callback(null)});req.onerror=(function(e){callback(this.error);e.preventDefault()})}),reconcile:(function(src,dst,callback){var total=0;var create=[];Object.keys(src.entries).forEach((function(key){var e=src.entries[key];var e2=dst.entries[key];if(!e2||e.timestamp>e2.timestamp){create.push(key);total++}}));var remove=[];Object.keys(dst.entries).forEach((function(key){var e=dst.entries[key];var e2=src.entries[key];if(!e2){remove.push(key);total++}}));if(!total){return callback(null)}var completed=0;var db=src.type==="remote"?src.db:dst.db;var transaction=db.transaction([IDBFS.DB_STORE_NAME],"readwrite");var store=transaction.objectStore(IDBFS.DB_STORE_NAME);function done(err){if(err){if(!done.errored){done.errored=true;return callback(err)}return}if(++completed>=total){return callback(null)}}transaction.onerror=(function(e){done(this.error);e.preventDefault()});create.sort().forEach((function(path){if(dst.type==="local"){IDBFS.loadRemoteEntry(store,path,(function(err,entry){if(err)return done(err);IDBFS.storeLocalEntry(path,entry,done)}))}else{IDBFS.loadLocalEntry(path,(function(err,entry){if(err)return done(err);IDBFS.storeRemoteEntry(store,path,entry,done)}))}}));remove.sort().reverse().forEach((function(path){if(dst.type==="local"){IDBFS.removeLocalEntry(path,done)}else{IDBFS.removeRemoteEntry(store,path,done)}}))})};var NODEFS={isWindows:false,staticInit:(function(){NODEFS.isWindows=!!process.platform.match(/^win/);var flags=process["binding"]("constants");if(flags["fs"]){flags=flags["fs"]}NODEFS.flagsForNodeMap={"1024":flags["O_APPEND"],"64":flags["O_CREAT"],"128":flags["O_EXCL"],"0":flags["O_RDONLY"],"2":flags["O_RDWR"],"4096":flags["O_SYNC"],"512":flags["O_TRUNC"],"1":flags["O_WRONLY"]}}),bufferFrom:(function(arrayBuffer){return Buffer.alloc?Buffer.from(arrayBuffer):new Buffer(arrayBuffer)}),mount:(function(mount){assert(ENVIRONMENT_IS_NODE);return NODEFS.createNode(null,"/",NODEFS.getMode(mount.opts.root),0)}),createNode:(function(parent,name,mode,dev){if(!FS.isDir(mode)&&!FS.isFile(mode)&&!FS.isLink(mode)){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var node=FS.createNode(parent,name,mode);node.node_ops=NODEFS.node_ops;node.stream_ops=NODEFS.stream_ops;return node}),getMode:(function(path){var stat;try{stat=fs.lstatSync(path);if(NODEFS.isWindows){stat.mode=stat.mode|(stat.mode&292)>>2}}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}return stat.mode}),realPath:(function(node){var parts=[];while(node.parent!==node){parts.push(node.name);node=node.parent}parts.push(node.mount.opts.root);parts.reverse();return PATH.join.apply(null,parts)}),flagsForNode:(function(flags){flags&=~2097152;flags&=~2048;flags&=~32768;flags&=~524288;var newFlags=0;for(var k in NODEFS.flagsForNodeMap){if(flags&k){newFlags|=NODEFS.flagsForNodeMap[k];flags^=k}}if(!flags){return newFlags}else{throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}}),node_ops:{getattr:(function(node){var path=NODEFS.realPath(node);var stat;try{stat=fs.lstatSync(path)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}if(NODEFS.isWindows&&!stat.blksize){stat.blksize=4096}if(NODEFS.isWindows&&!stat.blocks){stat.blocks=(stat.size+stat.blksize-1)/stat.blksize|0}return{dev:stat.dev,ino:stat.ino,mode:stat.mode,nlink:stat.nlink,uid:stat.uid,gid:stat.gid,rdev:stat.rdev,size:stat.size,atime:stat.atime,mtime:stat.mtime,ctime:stat.ctime,blksize:stat.blksize,blocks:stat.blocks}}),setattr:(function(node,attr){var path=NODEFS.realPath(node);try{if(attr.mode!==undefined){fs.chmodSync(path,attr.mode);node.mode=attr.mode}if(attr.timestamp!==undefined){var date=new Date(attr.timestamp);fs.utimesSync(path,date,date)}if(attr.size!==undefined){fs.truncateSync(path,attr.size)}}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),lookup:(function(parent,name){var path=PATH.join2(NODEFS.realPath(parent),name);var mode=NODEFS.getMode(path);return NODEFS.createNode(parent,name,mode)}),mknod:(function(parent,name,mode,dev){var node=NODEFS.createNode(parent,name,mode,dev);var path=NODEFS.realPath(node);try{if(FS.isDir(node.mode)){fs.mkdirSync(path,node.mode)}else{fs.writeFileSync(path,"",{mode:node.mode})}}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}return node}),rename:(function(oldNode,newDir,newName){var oldPath=NODEFS.realPath(oldNode);var newPath=PATH.join2(NODEFS.realPath(newDir),newName);try{fs.renameSync(oldPath,newPath)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),unlink:(function(parent,name){var path=PATH.join2(NODEFS.realPath(parent),name);try{fs.unlinkSync(path)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),rmdir:(function(parent,name){var path=PATH.join2(NODEFS.realPath(parent),name);try{fs.rmdirSync(path)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),readdir:(function(node){var path=NODEFS.realPath(node);try{return fs.readdirSync(path)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),symlink:(function(parent,newName,oldPath){var newPath=PATH.join2(NODEFS.realPath(parent),newName);try{fs.symlinkSync(oldPath,newPath)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),readlink:(function(node){var path=NODEFS.realPath(node);try{path=fs.readlinkSync(path);path=NODEJS_PATH.relative(NODEJS_PATH.resolve(node.mount.opts.root),path);return path}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}})},stream_ops:{open:(function(stream){var path=NODEFS.realPath(stream.node);try{if(FS.isFile(stream.node.mode)){stream.nfd=fs.openSync(path,NODEFS.flagsForNode(stream.flags))}}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),close:(function(stream){try{if(FS.isFile(stream.node.mode)&&stream.nfd){fs.closeSync(stream.nfd)}}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),read:(function(stream,buffer,offset,length,position){if(length===0)return 0;try{return fs.readSync(stream.nfd,NODEFS.bufferFrom(buffer.buffer),offset,length,position)}catch(e){throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),write:(function(stream,buffer,offset,length,position){try{return fs.writeSync(stream.nfd,NODEFS.bufferFrom(buffer.buffer),offset,length,position)}catch(e){throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),llseek:(function(stream,offset,whence){var position=offset;if(whence===1){position+=stream.position}else if(whence===2){if(FS.isFile(stream.node.mode)){try{var stat=fs.fstatSync(stream.nfd);position+=stat.size}catch(e){throw new FS.ErrnoError(ERRNO_CODES[e.code])}}}if(position<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}return position})}};var WORKERFS={DIR_MODE:16895,FILE_MODE:33279,reader:null,mount:(function(mount){assert(ENVIRONMENT_IS_WORKER);if(!WORKERFS.reader)WORKERFS.reader=new FileReaderSync;var root=WORKERFS.createNode(null,"/",WORKERFS.DIR_MODE,0);var createdParents={};function ensureParent(path){var parts=path.split("/");var parent=root;for(var i=0;i<parts.length-1;i++){var curr=parts.slice(0,i+1).join("/");if(!createdParents[curr]){createdParents[curr]=WORKERFS.createNode(parent,parts[i],WORKERFS.DIR_MODE,0)}parent=createdParents[curr]}return parent}function base(path){var parts=path.split("/");return parts[parts.length-1]}Array.prototype.forEach.call(mount.opts["files"]||[],(function(file){WORKERFS.createNode(ensureParent(file.name),base(file.name),WORKERFS.FILE_MODE,0,file,file.lastModifiedDate)}));(mount.opts["blobs"]||[]).forEach((function(obj){WORKERFS.createNode(ensureParent(obj["name"]),base(obj["name"]),WORKERFS.FILE_MODE,0,obj["data"])}));(mount.opts["packages"]||[]).forEach((function(pack){pack["metadata"].files.forEach((function(file){var name=file.filename.substr(1);WORKERFS.createNode(ensureParent(name),base(name),WORKERFS.FILE_MODE,0,pack["blob"].slice(file.start,file.end))}))}));return root}),createNode:(function(parent,name,mode,dev,contents,mtime){var node=FS.createNode(parent,name,mode);node.mode=mode;node.node_ops=WORKERFS.node_ops;node.stream_ops=WORKERFS.stream_ops;node.timestamp=(mtime||new Date).getTime();assert(WORKERFS.FILE_MODE!==WORKERFS.DIR_MODE);if(mode===WORKERFS.FILE_MODE){node.size=contents.size;node.contents=contents}else{node.size=4096;node.contents={}}if(parent){parent.contents[name]=node}return node}),node_ops:{getattr:(function(node){return{dev:1,ino:undefined,mode:node.mode,nlink:1,uid:0,gid:0,rdev:undefined,size:node.size,atime:new Date(node.timestamp),mtime:new Date(node.timestamp),ctime:new Date(node.timestamp),blksize:4096,blocks:Math.ceil(node.size/4096)}}),setattr:(function(node,attr){if(attr.mode!==undefined){node.mode=attr.mode}if(attr.timestamp!==undefined){node.timestamp=attr.timestamp}}),lookup:(function(parent,name){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}),mknod:(function(parent,name,mode,dev){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}),rename:(function(oldNode,newDir,newName){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}),unlink:(function(parent,name){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}),rmdir:(function(parent,name){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}),readdir:(function(node){var entries=[".",".."];for(var key in node.contents){if(!node.contents.hasOwnProperty(key)){continue}entries.push(key)}return entries}),symlink:(function(parent,newName,oldPath){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}),readlink:(function(node){throw new FS.ErrnoError(ERRNO_CODES.EPERM)})},stream_ops:{read:(function(stream,buffer,offset,length,position){if(position>=stream.node.size)return 0;var chunk=stream.node.contents.slice(position,position+length);var ab=WORKERFS.reader.readAsArrayBuffer(chunk);buffer.set(new Uint8Array(ab),offset);return chunk.size}),write:(function(stream,buffer,offset,length,position){throw new FS.ErrnoError(ERRNO_CODES.EIO)}),llseek:(function(stream,offset,whence){var position=offset;if(whence===1){position+=stream.position}else if(whence===2){if(FS.isFile(stream.node.mode)){position+=stream.node.size}}if(position<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}return position})}};STATICTOP+=16;STATICTOP+=16;STATICTOP+=16;var FS={root:null,mounts:[],devices:{},streams:[],nextInode:1,nameTable:null,currentPath:"/",initialized:false,ignorePermissions:true,trackingDelegate:{},tracking:{openFlags:{READ:1,WRITE:2}},ErrnoError:null,genericErrors:{},filesystems:null,syncFSRequests:0,handleFSError:(function(e){if(!(e instanceof FS.ErrnoError))throw e+" : "+stackTrace();return ___setErrNo(e.errno)}),lookupPath:(function(path,opts){path=PATH.resolve(FS.cwd(),path);opts=opts||{};if(!path)return{path:"",node:null};var defaults={follow_mount:true,recurse_count:0};for(var key in defaults){if(opts[key]===undefined){opts[key]=defaults[key]}}if(opts.recurse_count>8){throw new FS.ErrnoError(ERRNO_CODES.ELOOP)}var parts=PATH.normalizeArray(path.split("/").filter((function(p){return!!p})),false);var current=FS.root;var current_path="/";for(var i=0;i<parts.length;i++){var islast=i===parts.length-1;if(islast&&opts.parent){break}current=FS.lookupNode(current,parts[i]);current_path=PATH.join2(current_path,parts[i]);if(FS.isMountpoint(current)){if(!islast||islast&&opts.follow_mount){current=current.mounted.root}}if(!islast||opts.follow){var count=0;while(FS.isLink(current.mode)){var link=FS.readlink(current_path);current_path=PATH.resolve(PATH.dirname(current_path),link);var lookup=FS.lookupPath(current_path,{recurse_count:opts.recurse_count});current=lookup.node;if(count++>40){throw new FS.ErrnoError(ERRNO_CODES.ELOOP)}}}}return{path:current_path,node:current}}),getPath:(function(node){var path;while(true){if(FS.isRoot(node)){var mount=node.mount.mountpoint;if(!path)return mount;return mount[mount.length-1]!=="/"?mount+"/"+path:mount+path}path=path?node.name+"/"+path:node.name;node=node.parent}}),hashName:(function(parentid,name){var hash=0;for(var i=0;i<name.length;i++){hash=(hash<<5)-hash+name.charCodeAt(i)|0}return(parentid+hash>>>0)%FS.nameTable.length}),hashAddNode:(function(node){var hash=FS.hashName(node.parent.id,node.name);node.name_next=FS.nameTable[hash];FS.nameTable[hash]=node}),hashRemoveNode:(function(node){var hash=FS.hashName(node.parent.id,node.name);if(FS.nameTable[hash]===node){FS.nameTable[hash]=node.name_next}else{var current=FS.nameTable[hash];while(current){if(current.name_next===node){current.name_next=node.name_next;break}current=current.name_next}}}),lookupNode:(function(parent,name){var err=FS.mayLookup(parent);if(err){throw new FS.ErrnoError(err,parent)}var hash=FS.hashName(parent.id,name);for(var node=FS.nameTable[hash];node;node=node.name_next){var nodeName=node.name;if(node.parent.id===parent.id&&nodeName===name){return node}}return FS.lookup(parent,name)}),createNode:(function(parent,name,mode,rdev){if(!FS.FSNode){FS.FSNode=(function(parent,name,mode,rdev){if(!parent){parent=this}this.parent=parent;this.mount=parent.mount;this.mounted=null;this.id=FS.nextInode++;this.name=name;this.mode=mode;this.node_ops={};this.stream_ops={};this.rdev=rdev});FS.FSNode.prototype={};var readMode=292|73;var writeMode=146;Object.defineProperties(FS.FSNode.prototype,{read:{get:(function(){return(this.mode&readMode)===readMode}),set:(function(val){val?this.mode|=readMode:this.mode&=~readMode})},write:{get:(function(){return(this.mode&writeMode)===writeMode}),set:(function(val){val?this.mode|=writeMode:this.mode&=~writeMode})},isFolder:{get:(function(){return FS.isDir(this.mode)})},isDevice:{get:(function(){return FS.isChrdev(this.mode)})}})}var node=new FS.FSNode(parent,name,mode,rdev);FS.hashAddNode(node);return node}),destroyNode:(function(node){FS.hashRemoveNode(node)}),isRoot:(function(node){return node===node.parent}),isMountpoint:(function(node){return!!node.mounted}),isFile:(function(mode){return(mode&61440)===32768}),isDir:(function(mode){return(mode&61440)===16384}),isLink:(function(mode){return(mode&61440)===40960}),isChrdev:(function(mode){return(mode&61440)===8192}),isBlkdev:(function(mode){return(mode&61440)===24576}),isFIFO:(function(mode){return(mode&61440)===4096}),isSocket:(function(mode){return(mode&49152)===49152}),flagModes:{"r":0,"rs":1052672,"r+":2,"w":577,"wx":705,"xw":705,"w+":578,"wx+":706,"xw+":706,"a":1089,"ax":1217,"xa":1217,"a+":1090,"ax+":1218,"xa+":1218},modeStringToFlags:(function(str){var flags=FS.flagModes[str];if(typeof flags==="undefined"){throw new Error("Unknown file open mode: "+str)}return flags}),flagsToPermissionString:(function(flag){var perms=["r","w","rw"][flag&3];if(flag&512){perms+="w"}return perms}),nodePermissions:(function(node,perms){if(FS.ignorePermissions){return 0}if(perms.indexOf("r")!==-1&&!(node.mode&292)){return ERRNO_CODES.EACCES}else if(perms.indexOf("w")!==-1&&!(node.mode&146)){return ERRNO_CODES.EACCES}else if(perms.indexOf("x")!==-1&&!(node.mode&73)){return ERRNO_CODES.EACCES}return 0}),mayLookup:(function(dir){var err=FS.nodePermissions(dir,"x");if(err)return err;if(!dir.node_ops.lookup)return ERRNO_CODES.EACCES;return 0}),mayCreate:(function(dir,name){try{var node=FS.lookupNode(dir,name);return ERRNO_CODES.EEXIST}catch(e){}return FS.nodePermissions(dir,"wx")}),mayDelete:(function(dir,name,isdir){var node;try{node=FS.lookupNode(dir,name)}catch(e){return e.errno}var err=FS.nodePermissions(dir,"wx");if(err){return err}if(isdir){if(!FS.isDir(node.mode)){return ERRNO_CODES.ENOTDIR}if(FS.isRoot(node)||FS.getPath(node)===FS.cwd()){return ERRNO_CODES.EBUSY}}else{if(FS.isDir(node.mode)){return ERRNO_CODES.EISDIR}}return 0}),mayOpen:(function(node,flags){if(!node){return ERRNO_CODES.ENOENT}if(FS.isLink(node.mode)){return ERRNO_CODES.ELOOP}else if(FS.isDir(node.mode)){if(FS.flagsToPermissionString(flags)!=="r"||flags&512){return ERRNO_CODES.EISDIR}}return FS.nodePermissions(node,FS.flagsToPermissionString(flags))}),MAX_OPEN_FDS:4096,nextfd:(function(fd_start,fd_end){fd_start=fd_start||0;fd_end=fd_end||FS.MAX_OPEN_FDS;for(var fd=fd_start;fd<=fd_end;fd++){if(!FS.streams[fd]){return fd}}throw new FS.ErrnoError(ERRNO_CODES.EMFILE)}),getStream:(function(fd){return FS.streams[fd]}),createStream:(function(stream,fd_start,fd_end){if(!FS.FSStream){FS.FSStream=(function(){});FS.FSStream.prototype={};Object.defineProperties(FS.FSStream.prototype,{object:{get:(function(){return this.node}),set:(function(val){this.node=val})},isRead:{get:(function(){return(this.flags&2097155)!==1})},isWrite:{get:(function(){return(this.flags&2097155)!==0})},isAppend:{get:(function(){return this.flags&1024})}})}var newStream=new FS.FSStream;for(var p in stream){newStream[p]=stream[p]}stream=newStream;var fd=FS.nextfd(fd_start,fd_end);stream.fd=fd;FS.streams[fd]=stream;return stream}),closeStream:(function(fd){FS.streams[fd]=null}),chrdev_stream_ops:{open:(function(stream){var device=FS.getDevice(stream.node.rdev);stream.stream_ops=device.stream_ops;if(stream.stream_ops.open){stream.stream_ops.open(stream)}}),llseek:(function(){throw new FS.ErrnoError(ERRNO_CODES.ESPIPE)})},major:(function(dev){return dev>>8}),minor:(function(dev){return dev&255}),makedev:(function(ma,mi){return ma<<8|mi}),registerDevice:(function(dev,ops){FS.devices[dev]={stream_ops:ops}}),getDevice:(function(dev){return FS.devices[dev]}),getMounts:(function(mount){var mounts=[];var check=[mount];while(check.length){var m=check.pop();mounts.push(m);check.push.apply(check,m.mounts)}return mounts}),syncfs:(function(populate,callback){if(typeof populate==="function"){callback=populate;populate=false}FS.syncFSRequests++;if(FS.syncFSRequests>1){console.log("warning: "+FS.syncFSRequests+" FS.syncfs operations in flight at once, probably just doing extra work")}var mounts=FS.getMounts(FS.root.mount);var completed=0;function doCallback(err){assert(FS.syncFSRequests>0);FS.syncFSRequests--;return callback(err)}function done(err){if(err){if(!done.errored){done.errored=true;return doCallback(err)}return}if(++completed>=mounts.length){doCallback(null)}}mounts.forEach((function(mount){if(!mount.type.syncfs){return done(null)}mount.type.syncfs(mount,populate,done)}))}),mount:(function(type,opts,mountpoint){var root=mountpoint==="/";var pseudo=!mountpoint;var node;if(root&&FS.root){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}else if(!root&&!pseudo){var lookup=FS.lookupPath(mountpoint,{follow_mount:false});mountpoint=lookup.path;node=lookup.node;if(FS.isMountpoint(node)){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}if(!FS.isDir(node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENOTDIR)}}var mount={type:type,opts:opts,mountpoint:mountpoint,mounts:[]};var mountRoot=type.mount(mount);mountRoot.mount=mount;mount.root=mountRoot;if(root){FS.root=mountRoot}else if(node){node.mounted=mount;if(node.mount){node.mount.mounts.push(mount)}}return mountRoot}),unmount:(function(mountpoint){var lookup=FS.lookupPath(mountpoint,{follow_mount:false});if(!FS.isMountpoint(lookup.node)){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var node=lookup.node;var mount=node.mounted;var mounts=FS.getMounts(mount);Object.keys(FS.nameTable).forEach((function(hash){var current=FS.nameTable[hash];while(current){var next=current.name_next;if(mounts.indexOf(current.mount)!==-1){FS.destroyNode(current)}current=next}}));node.mounted=null;var idx=node.mount.mounts.indexOf(mount);assert(idx!==-1);node.mount.mounts.splice(idx,1)}),lookup:(function(parent,name){return parent.node_ops.lookup(parent,name)}),mknod:(function(path,mode,dev){var lookup=FS.lookupPath(path,{parent:true});var parent=lookup.node;var name=PATH.basename(path);if(!name||name==="."||name===".."){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var err=FS.mayCreate(parent,name);if(err){throw new FS.ErrnoError(err)}if(!parent.node_ops.mknod){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}return parent.node_ops.mknod(parent,name,mode,dev)}),create:(function(path,mode){mode=mode!==undefined?mode:438;mode&=4095;mode|=32768;return FS.mknod(path,mode,0)}),mkdir:(function(path,mode){mode=mode!==undefined?mode:511;mode&=511|512;mode|=16384;return FS.mknod(path,mode,0)}),mkdirTree:(function(path,mode){var dirs=path.split("/");var d="";for(var i=0;i<dirs.length;++i){if(!dirs[i])continue;d+="/"+dirs[i];try{FS.mkdir(d,mode)}catch(e){if(e.errno!=ERRNO_CODES.EEXIST)throw e}}}),mkdev:(function(path,mode,dev){if(typeof dev==="undefined"){dev=mode;mode=438}mode|=8192;return FS.mknod(path,mode,dev)}),symlink:(function(oldpath,newpath){if(!PATH.resolve(oldpath)){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}var lookup=FS.lookupPath(newpath,{parent:true});var parent=lookup.node;if(!parent){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}var newname=PATH.basename(newpath);var err=FS.mayCreate(parent,newname);if(err){throw new FS.ErrnoError(err)}if(!parent.node_ops.symlink){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}return parent.node_ops.symlink(parent,newname,oldpath)}),rename:(function(old_path,new_path){var old_dirname=PATH.dirname(old_path);var new_dirname=PATH.dirname(new_path);var old_name=PATH.basename(old_path);var new_name=PATH.basename(new_path);var lookup,old_dir,new_dir;try{lookup=FS.lookupPath(old_path,{parent:true});old_dir=lookup.node;lookup=FS.lookupPath(new_path,{parent:true});new_dir=lookup.node}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}if(!old_dir||!new_dir)throw new FS.ErrnoError(ERRNO_CODES.ENOENT);if(old_dir.mount!==new_dir.mount){throw new FS.ErrnoError(ERRNO_CODES.EXDEV)}var old_node=FS.lookupNode(old_dir,old_name);var relative=PATH.relative(old_path,new_dirname);if(relative.charAt(0)!=="."){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}relative=PATH.relative(new_path,old_dirname);if(relative.charAt(0)!=="."){throw new FS.ErrnoError(ERRNO_CODES.ENOTEMPTY)}var new_node;try{new_node=FS.lookupNode(new_dir,new_name)}catch(e){}if(old_node===new_node){return}var isdir=FS.isDir(old_node.mode);var err=FS.mayDelete(old_dir,old_name,isdir);if(err){throw new FS.ErrnoError(err)}err=new_node?FS.mayDelete(new_dir,new_name,isdir):FS.mayCreate(new_dir,new_name);if(err){throw new FS.ErrnoError(err)}if(!old_dir.node_ops.rename){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}if(FS.isMountpoint(old_node)||new_node&&FS.isMountpoint(new_node)){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}if(new_dir!==old_dir){err=FS.nodePermissions(old_dir,"w");if(err){throw new FS.ErrnoError(err)}}try{if(FS.trackingDelegate["willMovePath"]){FS.trackingDelegate["willMovePath"](old_path,new_path)}}catch(e){console.log("FS.trackingDelegate['willMovePath']('"+old_path+"', '"+new_path+"') threw an exception: "+e.message)}FS.hashRemoveNode(old_node);try{old_dir.node_ops.rename(old_node,new_dir,new_name)}catch(e){throw e}finally{FS.hashAddNode(old_node)}try{if(FS.trackingDelegate["onMovePath"])FS.trackingDelegate["onMovePath"](old_path,new_path)}catch(e){console.log("FS.trackingDelegate['onMovePath']('"+old_path+"', '"+new_path+"') threw an exception: "+e.message)}}),rmdir:(function(path){var lookup=FS.lookupPath(path,{parent:true});var parent=lookup.node;var name=PATH.basename(path);var node=FS.lookupNode(parent,name);var err=FS.mayDelete(parent,name,true);if(err){throw new FS.ErrnoError(err)}if(!parent.node_ops.rmdir){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}if(FS.isMountpoint(node)){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}try{if(FS.trackingDelegate["willDeletePath"]){FS.trackingDelegate["willDeletePath"](path)}}catch(e){console.log("FS.trackingDelegate['willDeletePath']('"+path+"') threw an exception: "+e.message)}parent.node_ops.rmdir(parent,name);FS.destroyNode(node);try{if(FS.trackingDelegate["onDeletePath"])FS.trackingDelegate["onDeletePath"](path)}catch(e){console.log("FS.trackingDelegate['onDeletePath']('"+path+"') threw an exception: "+e.message)}}),readdir:(function(path){var lookup=FS.lookupPath(path,{follow:true});var node=lookup.node;if(!node.node_ops.readdir){throw new FS.ErrnoError(ERRNO_CODES.ENOTDIR)}return node.node_ops.readdir(node)}),unlink:(function(path){var lookup=FS.lookupPath(path,{parent:true});var parent=lookup.node;var name=PATH.basename(path);var node=FS.lookupNode(parent,name);var err=FS.mayDelete(parent,name,false);if(err){throw new FS.ErrnoError(err)}if(!parent.node_ops.unlink){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}if(FS.isMountpoint(node)){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}try{if(FS.trackingDelegate["willDeletePath"]){FS.trackingDelegate["willDeletePath"](path)}}catch(e){console.log("FS.trackingDelegate['willDeletePath']('"+path+"') threw an exception: "+e.message)}parent.node_ops.unlink(parent,name);FS.destroyNode(node);try{if(FS.trackingDelegate["onDeletePath"])FS.trackingDelegate["onDeletePath"](path)}catch(e){console.log("FS.trackingDelegate['onDeletePath']('"+path+"') threw an exception: "+e.message)}}),readlink:(function(path){var lookup=FS.lookupPath(path);var link=lookup.node;if(!link){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}if(!link.node_ops.readlink){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}return PATH.resolve(FS.getPath(link.parent),link.node_ops.readlink(link))}),stat:(function(path,dontFollow){var lookup=FS.lookupPath(path,{follow:!dontFollow});var node=lookup.node;if(!node){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}if(!node.node_ops.getattr){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}return node.node_ops.getattr(node)}),lstat:(function(path){return FS.stat(path,true)}),chmod:(function(path,mode,dontFollow){var node;if(typeof path==="string"){var lookup=FS.lookupPath(path,{follow:!dontFollow});node=lookup.node}else{node=path}if(!node.node_ops.setattr){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}node.node_ops.setattr(node,{mode:mode&4095|node.mode&~4095,timestamp:Date.now()})}),lchmod:(function(path,mode){FS.chmod(path,mode,true)}),fchmod:(function(fd,mode){var stream=FS.getStream(fd);if(!stream){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}FS.chmod(stream.node,mode)}),chown:(function(path,uid,gid,dontFollow){var node;if(typeof path==="string"){var lookup=FS.lookupPath(path,{follow:!dontFollow});node=lookup.node}else{node=path}if(!node.node_ops.setattr){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}node.node_ops.setattr(node,{timestamp:Date.now()})}),lchown:(function(path,uid,gid){FS.chown(path,uid,gid,true)}),fchown:(function(fd,uid,gid){var stream=FS.getStream(fd);if(!stream){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}FS.chown(stream.node,uid,gid)}),truncate:(function(path,len){if(len<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var node;if(typeof path==="string"){var lookup=FS.lookupPath(path,{follow:true});node=lookup.node}else{node=path}if(!node.node_ops.setattr){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}if(FS.isDir(node.mode)){throw new FS.ErrnoError(ERRNO_CODES.EISDIR)}if(!FS.isFile(node.mode)){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var err=FS.nodePermissions(node,"w");if(err){throw new FS.ErrnoError(err)}node.node_ops.setattr(node,{size:len,timestamp:Date.now()})}),ftruncate:(function(fd,len){var stream=FS.getStream(fd);if(!stream){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if((stream.flags&2097155)===0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}FS.truncate(stream.node,len)}),utime:(function(path,atime,mtime){var lookup=FS.lookupPath(path,{follow:true});var node=lookup.node;node.node_ops.setattr(node,{timestamp:Math.max(atime,mtime)})}),open:(function(path,flags,mode,fd_start,fd_end){if(path===""){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}flags=typeof flags==="string"?FS.modeStringToFlags(flags):flags;mode=typeof mode==="undefined"?438:mode;if(flags&64){mode=mode&4095|32768}else{mode=0}var node;if(typeof path==="object"){node=path}else{path=PATH.normalize(path);try{var lookup=FS.lookupPath(path,{follow:!(flags&131072)});node=lookup.node}catch(e){}}var created=false;if(flags&64){if(node){if(flags&128){throw new FS.ErrnoError(ERRNO_CODES.EEXIST)}}else{node=FS.mknod(path,mode,0);created=true}}if(!node){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}if(FS.isChrdev(node.mode)){flags&=~512}if(flags&65536&&!FS.isDir(node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENOTDIR)}if(!created){var err=FS.mayOpen(node,flags);if(err){throw new FS.ErrnoError(err)}}if(flags&512){FS.truncate(node,0)}flags&=~(128|512);var stream=FS.createStream({node:node,path:FS.getPath(node),flags:flags,seekable:true,position:0,stream_ops:node.stream_ops,ungotten:[],error:false},fd_start,fd_end);if(stream.stream_ops.open){stream.stream_ops.open(stream)}if(Module["logReadFiles"]&&!(flags&1)){if(!FS.readFiles)FS.readFiles={};if(!(path in FS.readFiles)){FS.readFiles[path]=1;Module["printErr"]("read file: "+path)}}try{if(FS.trackingDelegate["onOpenFile"]){var trackingFlags=0;if((flags&2097155)!==1){trackingFlags|=FS.tracking.openFlags.READ}if((flags&2097155)!==0){trackingFlags|=FS.tracking.openFlags.WRITE}FS.trackingDelegate["onOpenFile"](path,trackingFlags)}}catch(e){console.log("FS.trackingDelegate['onOpenFile']('"+path+"', flags) threw an exception: "+e.message)}return stream}),close:(function(stream){if(stream.getdents)stream.getdents=null;try{if(stream.stream_ops.close){stream.stream_ops.close(stream)}}catch(e){throw e}finally{FS.closeStream(stream.fd)}}),llseek:(function(stream,offset,whence){if(!stream.seekable||!stream.stream_ops.llseek){throw new FS.ErrnoError(ERRNO_CODES.ESPIPE)}stream.position=stream.stream_ops.llseek(stream,offset,whence);stream.ungotten=[];return stream.position}),read:(function(stream,buffer,offset,length,position){if(length<0||position<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}if((stream.flags&2097155)===1){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if(FS.isDir(stream.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.EISDIR)}if(!stream.stream_ops.read){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var seeking=typeof position!=="undefined";if(!seeking){position=stream.position}else if(!stream.seekable){throw new FS.ErrnoError(ERRNO_CODES.ESPIPE)}var bytesRead=stream.stream_ops.read(stream,buffer,offset,length,position);if(!seeking)stream.position+=bytesRead;return bytesRead}),write:(function(stream,buffer,offset,length,position,canOwn){if(length<0||position<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}if((stream.flags&2097155)===0){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if(FS.isDir(stream.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.EISDIR)}if(!stream.stream_ops.write){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}if(stream.flags&1024){FS.llseek(stream,0,2)}var seeking=typeof position!=="undefined";if(!seeking){position=stream.position}else if(!stream.seekable){throw new FS.ErrnoError(ERRNO_CODES.ESPIPE)}var bytesWritten=stream.stream_ops.write(stream,buffer,offset,length,position,canOwn);if(!seeking)stream.position+=bytesWritten;try{if(stream.path&&FS.trackingDelegate["onWriteToFile"])FS.trackingDelegate["onWriteToFile"](stream.path)}catch(e){console.log("FS.trackingDelegate['onWriteToFile']('"+path+"') threw an exception: "+e.message)}return bytesWritten}),allocate:(function(stream,offset,length){if(offset<0||length<=0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}if((stream.flags&2097155)===0){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if(!FS.isFile(stream.node.mode)&&!FS.isDir(stream.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENODEV)}if(!stream.stream_ops.allocate){throw new FS.ErrnoError(ERRNO_CODES.EOPNOTSUPP)}stream.stream_ops.allocate(stream,offset,length)}),mmap:(function(stream,buffer,offset,length,position,prot,flags){if((stream.flags&2097155)===1){throw new FS.ErrnoError(ERRNO_CODES.EACCES)}if(!stream.stream_ops.mmap){throw new FS.ErrnoError(ERRNO_CODES.ENODEV)}return stream.stream_ops.mmap(stream,buffer,offset,length,position,prot,flags)}),msync:(function(stream,buffer,offset,length,mmapFlags){if(!stream||!stream.stream_ops.msync){return 0}return stream.stream_ops.msync(stream,buffer,offset,length,mmapFlags)}),munmap:(function(stream){return 0}),ioctl:(function(stream,cmd,arg){if(!stream.stream_ops.ioctl){throw new FS.ErrnoError(ERRNO_CODES.ENOTTY)}return stream.stream_ops.ioctl(stream,cmd,arg)}),readFile:(function(path,opts){opts=opts||{};opts.flags=opts.flags||"r";opts.encoding=opts.encoding||"binary";if(opts.encoding!=="utf8"&&opts.encoding!=="binary"){throw new Error('Invalid encoding type "'+opts.encoding+'"')}var ret;var stream=FS.open(path,opts.flags);var stat=FS.stat(path);var length=stat.size;var buf=new Uint8Array(length);FS.read(stream,buf,0,length,0);if(opts.encoding==="utf8"){ret=UTF8ArrayToString(buf,0)}else if(opts.encoding==="binary"){ret=buf}FS.close(stream);return ret}),writeFile:(function(path,data,opts){opts=opts||{};opts.flags=opts.flags||"w";var stream=FS.open(path,opts.flags,opts.mode);if(typeof data==="string"){var buf=new Uint8Array(lengthBytesUTF8(data)+1);var actualNumBytes=stringToUTF8Array(data,buf,0,buf.length);FS.write(stream,buf,0,actualNumBytes,undefined,opts.canOwn)}else if(ArrayBuffer.isView(data)){FS.write(stream,data,0,data.byteLength,undefined,opts.canOwn)}else{throw new Error("Unsupported data type")}FS.close(stream)}),cwd:(function(){return FS.currentPath}),chdir:(function(path){var lookup=FS.lookupPath(path,{follow:true});if(lookup.node===null){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}if(!FS.isDir(lookup.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENOTDIR)}var err=FS.nodePermissions(lookup.node,"x");if(err){throw new FS.ErrnoError(err)}FS.currentPath=lookup.path}),createDefaultDirectories:(function(){FS.mkdir("/tmp");FS.mkdir("/home");FS.mkdir("/home/web_user")}),createDefaultDevices:(function(){FS.mkdir("/dev");FS.registerDevice(FS.makedev(1,3),{read:(function(){return 0}),write:(function(stream,buffer,offset,length,pos){return length})});FS.mkdev("/dev/null",FS.makedev(1,3));TTY.register(FS.makedev(5,0),TTY.default_tty_ops);TTY.register(FS.makedev(6,0),TTY.default_tty1_ops);FS.mkdev("/dev/tty",FS.makedev(5,0));FS.mkdev("/dev/tty1",FS.makedev(6,0));var random_device;if(typeof crypto!=="undefined"){var randomBuffer=new Uint8Array(1);random_device=(function(){crypto.getRandomValues(randomBuffer);return randomBuffer[0]})}else if(ENVIRONMENT_IS_NODE){random_device=(function(){return require("crypto")["randomBytes"](1)[0]})}else{random_device=(function(){return Math.random()*256|0})}FS.createDevice("/dev","random",random_device);FS.createDevice("/dev","urandom",random_device);FS.mkdir("/dev/shm");FS.mkdir("/dev/shm/tmp")}),createSpecialDirectories:(function(){FS.mkdir("/proc");FS.mkdir("/proc/self");FS.mkdir("/proc/self/fd");FS.mount({mount:(function(){var node=FS.createNode("/proc/self","fd",16384|511,73);node.node_ops={lookup:(function(parent,name){var fd=+name;var stream=FS.getStream(fd);if(!stream)throw new FS.ErrnoError(ERRNO_CODES.EBADF);var ret={parent:null,mount:{mountpoint:"fake"},node_ops:{readlink:(function(){return stream.path})}};ret.parent=ret;return ret})};return node})},{},"/proc/self/fd")}),createStandardStreams:(function(){if(Module["stdin"]){FS.createDevice("/dev","stdin",Module["stdin"])}else{FS.symlink("/dev/tty","/dev/stdin")}if(Module["stdout"]){FS.createDevice("/dev","stdout",null,Module["stdout"])}else{FS.symlink("/dev/tty","/dev/stdout")}if(Module["stderr"]){FS.createDevice("/dev","stderr",null,Module["stderr"])}else{FS.symlink("/dev/tty1","/dev/stderr")}var stdin=FS.open("/dev/stdin","r");assert(stdin.fd===0,"invalid handle for stdin ("+stdin.fd+")");var stdout=FS.open("/dev/stdout","w");assert(stdout.fd===1,"invalid handle for stdout ("+stdout.fd+")");var stderr=FS.open("/dev/stderr","w");assert(stderr.fd===2,"invalid handle for stderr ("+stderr.fd+")")}),ensureErrnoError:(function(){if(FS.ErrnoError)return;FS.ErrnoError=function ErrnoError(errno,node){this.node=node;this.setErrno=(function(errno){this.errno=errno;for(var key in ERRNO_CODES){if(ERRNO_CODES[key]===errno){this.code=key;break}}});this.setErrno(errno);this.message=ERRNO_MESSAGES[errno];if(this.stack)Object.defineProperty(this,"stack",{value:(new Error).stack,writable:true})};FS.ErrnoError.prototype=new Error;FS.ErrnoError.prototype.constructor=FS.ErrnoError;[ERRNO_CODES.ENOENT].forEach((function(code){FS.genericErrors[code]=new FS.ErrnoError(code);FS.genericErrors[code].stack="<generic error, no stack>"}))}),staticInit:(function(){FS.ensureErrnoError();FS.nameTable=new Array(4096);FS.mount(MEMFS,{},"/");FS.createDefaultDirectories();FS.createDefaultDevices();FS.createSpecialDirectories();FS.filesystems={"MEMFS":MEMFS,"IDBFS":IDBFS,"NODEFS":NODEFS,"WORKERFS":WORKERFS}}),init:(function(input,output,error){assert(!FS.init.initialized,"FS.init was previously called. If you want to initialize later with custom parameters, remove any earlier calls (note that one is automatically added to the generated code)");FS.init.initialized=true;FS.ensureErrnoError();Module["stdin"]=input||Module["stdin"];Module["stdout"]=output||Module["stdout"];Module["stderr"]=error||Module["stderr"];FS.createStandardStreams()}),quit:(function(){FS.init.initialized=false;var fflush=Module["_fflush"];if(fflush)fflush(0);for(var i=0;i<FS.streams.length;i++){var stream=FS.streams[i];if(!stream){continue}FS.close(stream)}}),getMode:(function(canRead,canWrite){var mode=0;if(canRead)mode|=292|73;if(canWrite)mode|=146;return mode}),joinPath:(function(parts,forceRelative){var path=PATH.join.apply(null,parts);if(forceRelative&&path[0]=="/")path=path.substr(1);return path}),absolutePath:(function(relative,base){return PATH.resolve(base,relative)}),standardizePath:(function(path){return PATH.normalize(path)}),findObject:(function(path,dontResolveLastLink){var ret=FS.analyzePath(path,dontResolveLastLink);if(ret.exists){return ret.object}else{___setErrNo(ret.error);return null}}),analyzePath:(function(path,dontResolveLastLink){try{var lookup=FS.lookupPath(path,{follow:!dontResolveLastLink});path=lookup.path}catch(e){}var ret={isRoot:false,exists:false,error:0,name:null,path:null,object:null,parentExists:false,parentPath:null,parentObject:null};try{var lookup=FS.lookupPath(path,{parent:true});ret.parentExists=true;ret.parentPath=lookup.path;ret.parentObject=lookup.node;ret.name=PATH.basename(path);lookup=FS.lookupPath(path,{follow:!dontResolveLastLink});ret.exists=true;ret.path=lookup.path;ret.object=lookup.node;ret.name=lookup.node.name;ret.isRoot=lookup.path==="/"}catch(e){ret.error=e.errno}return ret}),createFolder:(function(parent,name,canRead,canWrite){var path=PATH.join2(typeof parent==="string"?parent:FS.getPath(parent),name);var mode=FS.getMode(canRead,canWrite);return FS.mkdir(path,mode)}),createPath:(function(parent,path,canRead,canWrite){parent=typeof parent==="string"?parent:FS.getPath(parent);var parts=path.split("/").reverse();while(parts.length){var part=parts.pop();if(!part)continue;var current=PATH.join2(parent,part);try{FS.mkdir(current)}catch(e){}parent=current}return current}),createFile:(function(parent,name,properties,canRead,canWrite){var path=PATH.join2(typeof parent==="string"?parent:FS.getPath(parent),name);var mode=FS.getMode(canRead,canWrite);return FS.create(path,mode)}),createDataFile:(function(parent,name,data,canRead,canWrite,canOwn){var path=name?PATH.join2(typeof parent==="string"?parent:FS.getPath(parent),name):parent;var mode=FS.getMode(canRead,canWrite);var node=FS.create(path,mode);if(data){if(typeof data==="string"){var arr=new Array(data.length);for(var i=0,len=data.length;i<len;++i)arr[i]=data.charCodeAt(i);data=arr}FS.chmod(node,mode|146);var stream=FS.open(node,"w");FS.write(stream,data,0,data.length,0,canOwn);FS.close(stream);FS.chmod(node,mode)}return node}),createDevice:(function(parent,name,input,output){var path=PATH.join2(typeof parent==="string"?parent:FS.getPath(parent),name);var mode=FS.getMode(!!input,!!output);if(!FS.createDevice.major)FS.createDevice.major=64;var dev=FS.makedev(FS.createDevice.major++,0);FS.registerDevice(dev,{open:(function(stream){stream.seekable=false}),close:(function(stream){if(output&&output.buffer&&output.buffer.length){output(10)}}),read:(function(stream,buffer,offset,length,pos){var bytesRead=0;for(var i=0;i<length;i++){var result;try{result=input()}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EIO)}if(result===undefined&&bytesRead===0){throw new FS.ErrnoError(ERRNO_CODES.EAGAIN)}if(result===null||result===undefined)break;bytesRead++;buffer[offset+i]=result}if(bytesRead){stream.node.timestamp=Date.now()}return bytesRead}),write:(function(stream,buffer,offset,length,pos){for(var i=0;i<length;i++){try{output(buffer[offset+i])}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EIO)}}if(length){stream.node.timestamp=Date.now()}return i})});return FS.mkdev(path,mode,dev)}),createLink:(function(parent,name,target,canRead,canWrite){var path=PATH.join2(typeof parent==="string"?parent:FS.getPath(parent),name);return FS.symlink(target,path)}),forceLoadFile:(function(obj){if(obj.isDevice||obj.isFolder||obj.link||obj.contents)return true;var success=true;if(typeof XMLHttpRequest!=="undefined"){throw new Error("Lazy loading should have been performed (contents set) in createLazyFile, but it was not. Lazy loading only works in web workers. Use --embed-file or --preload-file in emcc on the main thread.")}else if(Module["read"]){try{obj.contents=intArrayFromString(Module["read"](obj.url),true);obj.usedBytes=obj.contents.length}catch(e){success=false}}else{throw new Error("Cannot load without read() or XMLHttpRequest.")}if(!success)___setErrNo(ERRNO_CODES.EIO);return success}),createLazyFile:(function(parent,name,url,canRead,canWrite){function LazyUint8Array(){this.lengthKnown=false;this.chunks=[]}LazyUint8Array.prototype.get=function LazyUint8Array_get(idx){if(idx>this.length-1||idx<0){return undefined}var chunkOffset=idx%this.chunkSize;var chunkNum=idx/this.chunkSize|0;return this.getter(chunkNum)[chunkOffset]};LazyUint8Array.prototype.setDataGetter=function LazyUint8Array_setDataGetter(getter){this.getter=getter};LazyUint8Array.prototype.cacheLength=function LazyUint8Array_cacheLength(){var xhr=new XMLHttpRequest;xhr.open("HEAD",url,false);xhr.send(null);if(!(xhr.status>=200&&xhr.status<300||xhr.status===304))throw new Error("Couldn't load "+url+". Status: "+xhr.status);var datalength=Number(xhr.getResponseHeader("Content-length"));var header;var hasByteServing=(header=xhr.getResponseHeader("Accept-Ranges"))&&header==="bytes";var usesGzip=(header=xhr.getResponseHeader("Content-Encoding"))&&header==="gzip";var chunkSize=1024*1024;if(!hasByteServing)chunkSize=datalength;var doXHR=(function(from,to){if(from>to)throw new Error("invalid range ("+from+", "+to+") or no bytes requested!");if(to>datalength-1)throw new Error("only "+datalength+" bytes available! programmer error!");var xhr=new XMLHttpRequest;xhr.open("GET",url,false);if(datalength!==chunkSize)xhr.setRequestHeader("Range","bytes="+from+"-"+to);if(typeof Uint8Array!="undefined")xhr.responseType="arraybuffer";if(xhr.overrideMimeType){xhr.overrideMimeType("text/plain; charset=x-user-defined")}xhr.send(null);if(!(xhr.status>=200&&xhr.status<300||xhr.status===304))throw new Error("Couldn't load "+url+". Status: "+xhr.status);if(xhr.response!==undefined){return new Uint8Array(xhr.response||[])}else{return intArrayFromString(xhr.responseText||"",true)}});var lazyArray=this;lazyArray.setDataGetter((function(chunkNum){var start=chunkNum*chunkSize;var end=(chunkNum+1)*chunkSize-1;end=Math.min(end,datalength-1);if(typeof lazyArray.chunks[chunkNum]==="undefined"){lazyArray.chunks[chunkNum]=doXHR(start,end)}if(typeof lazyArray.chunks[chunkNum]==="undefined")throw new Error("doXHR failed!");return lazyArray.chunks[chunkNum]}));if(usesGzip||!datalength){chunkSize=datalength=1;datalength=this.getter(0).length;chunkSize=datalength;console.log("LazyFiles on gzip forces download of the whole file when length is accessed")}this._length=datalength;this._chunkSize=chunkSize;this.lengthKnown=true};if(typeof XMLHttpRequest!=="undefined"){if(!ENVIRONMENT_IS_WORKER)throw"Cannot do synchronous binary XHRs outside webworkers in modern browsers. Use --embed-file or --preload-file in emcc";var lazyArray=new LazyUint8Array;Object.defineProperties(lazyArray,{length:{get:(function(){if(!this.lengthKnown){this.cacheLength()}return this._length})},chunkSize:{get:(function(){if(!this.lengthKnown){this.cacheLength()}return this._chunkSize})}});var properties={isDevice:false,contents:lazyArray}}else{var properties={isDevice:false,url:url}}var node=FS.createFile(parent,name,properties,canRead,canWrite);if(properties.contents){node.contents=properties.contents}else if(properties.url){node.contents=null;node.url=properties.url}Object.defineProperties(node,{usedBytes:{get:(function(){return this.contents.length})}});var stream_ops={};var keys=Object.keys(node.stream_ops);keys.forEach((function(key){var fn=node.stream_ops[key];stream_ops[key]=function forceLoadLazyFile(){if(!FS.forceLoadFile(node)){throw new FS.ErrnoError(ERRNO_CODES.EIO)}return fn.apply(null,arguments)}}));stream_ops.read=function stream_ops_read(stream,buffer,offset,length,position){if(!FS.forceLoadFile(node)){throw new FS.ErrnoError(ERRNO_CODES.EIO)}var contents=stream.node.contents;if(position>=contents.length)return 0;var size=Math.min(contents.length-position,length);assert(size>=0);if(contents.slice){for(var i=0;i<size;i++){buffer[offset+i]=contents[position+i]}}else{for(var i=0;i<size;i++){buffer[offset+i]=contents.get(position+i)}}return size};node.stream_ops=stream_ops;return node}),createPreloadedFile:(function(parent,name,url,canRead,canWrite,onload,onerror,dontCreateFile,canOwn,preFinish){Browser.init();var fullname=name?PATH.resolve(PATH.join2(parent,name)):parent;var dep=getUniqueRunDependency("cp "+fullname);function processData(byteArray){function finish(byteArray){if(preFinish)preFinish();if(!dontCreateFile){FS.createDataFile(parent,name,byteArray,canRead,canWrite,canOwn)}if(onload)onload();removeRunDependency(dep)}var handled=false;Module["preloadPlugins"].forEach((function(plugin){if(handled)return;if(plugin["canHandle"](fullname)){plugin["handle"](byteArray,fullname,finish,(function(){if(onerror)onerror();removeRunDependency(dep)}));handled=true}}));if(!handled)finish(byteArray)}addRunDependency(dep);if(typeof url=="string"){Browser.asyncLoad(url,(function(byteArray){processData(byteArray)}),onerror)}else{processData(url)}}),indexedDB:(function(){return window.indexedDB||window.mozIndexedDB||window.webkitIndexedDB||window.msIndexedDB}),DB_NAME:(function(){return"EM_FS_"+window.location.pathname}),DB_VERSION:20,DB_STORE_NAME:"FILE_DATA",saveFilesToDB:(function(paths,onload,onerror){onload=onload||(function(){});onerror=onerror||(function(){});var indexedDB=FS.indexedDB();try{var openRequest=indexedDB.open(FS.DB_NAME(),FS.DB_VERSION)}catch(e){return onerror(e)}openRequest.onupgradeneeded=function openRequest_onupgradeneeded(){console.log("creating db");var db=openRequest.result;db.createObjectStore(FS.DB_STORE_NAME)};openRequest.onsuccess=function openRequest_onsuccess(){var db=openRequest.result;var transaction=db.transaction([FS.DB_STORE_NAME],"readwrite");var files=transaction.objectStore(FS.DB_STORE_NAME);var ok=0,fail=0,total=paths.length;function finish(){if(fail==0)onload();else onerror()}paths.forEach((function(path){var putRequest=files.put(FS.analyzePath(path).object.contents,path);putRequest.onsuccess=function putRequest_onsuccess(){ok++;if(ok+fail==total)finish()};putRequest.onerror=function putRequest_onerror(){fail++;if(ok+fail==total)finish()}}));transaction.onerror=onerror};openRequest.onerror=onerror}),loadFilesFromDB:(function(paths,onload,onerror){onload=onload||(function(){});onerror=onerror||(function(){});var indexedDB=FS.indexedDB();try{var openRequest=indexedDB.open(FS.DB_NAME(),FS.DB_VERSION)}catch(e){return onerror(e)}openRequest.onupgradeneeded=onerror;openRequest.onsuccess=function openRequest_onsuccess(){var db=openRequest.result;try{var transaction=db.transaction([FS.DB_STORE_NAME],"readonly")}catch(e){onerror(e);return}var files=transaction.objectStore(FS.DB_STORE_NAME);var ok=0,fail=0,total=paths.length;function finish(){if(fail==0)onload();else onerror()}paths.forEach((function(path){var getRequest=files.get(path);getRequest.onsuccess=function getRequest_onsuccess(){if(FS.analyzePath(path).exists){FS.unlink(path)}FS.createDataFile(PATH.dirname(path),PATH.basename(path),getRequest.result,true,true,true);ok++;if(ok+fail==total)finish()};getRequest.onerror=function getRequest_onerror(){fail++;if(ok+fail==total)finish()}}));transaction.onerror=onerror};openRequest.onerror=onerror})};var SYSCALLS={DEFAULT_POLLMASK:5,mappings:{},umask:511,calculateAt:(function(dirfd,path){if(path[0]!=="/"){var dir;if(dirfd===-100){dir=FS.cwd()}else{var dirstream=FS.getStream(dirfd);if(!dirstream)throw new FS.ErrnoError(ERRNO_CODES.EBADF);dir=dirstream.path}path=PATH.join2(dir,path)}return path}),doStat:(function(func,path,buf){try{var stat=func(path)}catch(e){if(e&&e.node&&PATH.normalize(path)!==PATH.normalize(FS.getPath(e.node))){return-ERRNO_CODES.ENOTDIR}throw e}HEAP32[buf>>2]=stat.dev;HEAP32[buf+4>>2]=0;HEAP32[buf+8>>2]=stat.ino;HEAP32[buf+12>>2]=stat.mode;HEAP32[buf+16>>2]=stat.nlink;HEAP32[buf+20>>2]=stat.uid;HEAP32[buf+24>>2]=stat.gid;HEAP32[buf+28>>2]=stat.rdev;HEAP32[buf+32>>2]=0;HEAP32[buf+36>>2]=stat.size;HEAP32[buf+40>>2]=4096;HEAP32[buf+44>>2]=stat.blocks;HEAP32[buf+48>>2]=stat.atime.getTime()/1e3|0;HEAP32[buf+52>>2]=0;HEAP32[buf+56>>2]=stat.mtime.getTime()/1e3|0;HEAP32[buf+60>>2]=0;HEAP32[buf+64>>2]=stat.ctime.getTime()/1e3|0;HEAP32[buf+68>>2]=0;HEAP32[buf+72>>2]=stat.ino;return 0}),doMsync:(function(addr,stream,len,flags){var buffer=new Uint8Array(HEAPU8.subarray(addr,addr+len));FS.msync(stream,buffer,0,len,flags)}),doMkdir:(function(path,mode){path=PATH.normalize(path);if(path[path.length-1]==="/")path=path.substr(0,path.length-1);FS.mkdir(path,mode,0);return 0}),doMknod:(function(path,mode,dev){switch(mode&61440){case 32768:case 8192:case 24576:case 4096:case 49152:break;default:return-ERRNO_CODES.EINVAL}FS.mknod(path,mode,dev);return 0}),doReadlink:(function(path,buf,bufsize){if(bufsize<=0)return-ERRNO_CODES.EINVAL;var ret=FS.readlink(path);var len=Math.min(bufsize,lengthBytesUTF8(ret));var endChar=HEAP8[buf+len];stringToUTF8(ret,buf,bufsize+1);HEAP8[buf+len]=endChar;return len}),doAccess:(function(path,amode){if(amode&~7){return-ERRNO_CODES.EINVAL}var node;var lookup=FS.lookupPath(path,{follow:true});node=lookup.node;var perms="";if(amode&4)perms+="r";if(amode&2)perms+="w";if(amode&1)perms+="x";if(perms&&FS.nodePermissions(node,perms)){return-ERRNO_CODES.EACCES}return 0}),doDup:(function(path,flags,suggestFD){var suggest=FS.getStream(suggestFD);if(suggest)FS.close(suggest);return FS.open(path,flags,0,suggestFD,suggestFD).fd}),doReadv:(function(stream,iov,iovcnt,offset){var ret=0;for(var i=0;i<iovcnt;i++){var ptr=HEAP32[iov+i*8>>2];var len=HEAP32[iov+(i*8+4)>>2];var curr=FS.read(stream,HEAP8,ptr,len,offset);if(curr<0)return-1;ret+=curr;if(curr<len)break}return ret}),doWritev:(function(stream,iov,iovcnt,offset){var ret=0;for(var i=0;i<iovcnt;i++){var ptr=HEAP32[iov+i*8>>2];var len=HEAP32[iov+(i*8+4)>>2];var curr=FS.write(stream,HEAP8,ptr,len,offset);if(curr<0)return-1;ret+=curr}return ret}),varargs:0,get:(function(varargs){SYSCALLS.varargs+=4;var ret=HEAP32[SYSCALLS.varargs-4>>2];return ret}),getStr:(function(){var ret=Pointer_stringify(SYSCALLS.get());return ret}),getStreamFromFD:(function(){var stream=FS.getStream(SYSCALLS.get());if(!stream)throw new FS.ErrnoError(ERRNO_CODES.EBADF);return stream}),getSocketFromFD:(function(){var socket=SOCKFS.getSocket(SYSCALLS.get());if(!socket)throw new FS.ErrnoError(ERRNO_CODES.EBADF);return socket}),getSocketAddress:(function(allowNull){var addrp=SYSCALLS.get(),addrlen=SYSCALLS.get();if(allowNull&&addrp===0)return null;var info=__read_sockaddr(addrp,addrlen);if(info.errno)throw new FS.ErrnoError(info.errno);info.addr=DNS.lookup_addr(info.addr)||info.addr;return info}),get64:(function(){var low=SYSCALLS.get(),high=SYSCALLS.get();if(low>=0)assert(high===0);else assert(high===-1);return low}),getZero:(function(){assert(SYSCALLS.get()===0)})};function ___syscall10(which,varargs){SYSCALLS.varargs=varargs;try{var path=SYSCALLS.getStr();FS.unlink(path);return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall140(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),offset_high=SYSCALLS.get(),offset_low=SYSCALLS.get(),result=SYSCALLS.get(),whence=SYSCALLS.get();var offset=offset_low;FS.llseek(stream,offset,whence);HEAP32[result>>2]=stream.position;if(stream.getdents&&offset===0&&whence===0)stream.getdents=null;return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall145(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),iov=SYSCALLS.get(),iovcnt=SYSCALLS.get();return SYSCALLS.doReadv(stream,iov,iovcnt)}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall146(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),iov=SYSCALLS.get(),iovcnt=SYSCALLS.get();return SYSCALLS.doWritev(stream,iov,iovcnt)}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall192(which,varargs){SYSCALLS.varargs=varargs;try{var addr=SYSCALLS.get(),len=SYSCALLS.get(),prot=SYSCALLS.get(),flags=SYSCALLS.get(),fd=SYSCALLS.get(),off=SYSCALLS.get();off<<=12;var ptr;var allocated=false;if(fd===-1){ptr=_memalign(PAGE_SIZE,len);if(!ptr)return-ERRNO_CODES.ENOMEM;_memset(ptr,0,len);allocated=true}else{var info=FS.getStream(fd);if(!info)return-ERRNO_CODES.EBADF;var res=FS.mmap(info,HEAPU8,addr,len,off,prot,flags);ptr=res.ptr;allocated=res.allocated}SYSCALLS.mappings[ptr]={malloc:ptr,len:len,allocated:allocated,fd:fd,flags:flags};return ptr}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall195(which,varargs){SYSCALLS.varargs=varargs;try{var path=SYSCALLS.getStr(),buf=SYSCALLS.get();return SYSCALLS.doStat(FS.stat,path,buf)}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall197(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),buf=SYSCALLS.get();return SYSCALLS.doStat(FS.stat,stream.path,buf)}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall221(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),cmd=SYSCALLS.get();switch(cmd){case 0:{var arg=SYSCALLS.get();if(arg<0){return-ERRNO_CODES.EINVAL}var newStream;newStream=FS.open(stream.path,stream.flags,0,arg);return newStream.fd};case 1:case 2:return 0;case 3:return stream.flags;case 4:{var arg=SYSCALLS.get();stream.flags|=arg;return 0};case 12:case 12:{var arg=SYSCALLS.get();var offset=0;HEAP16[arg+offset>>1]=2;return 0};case 13:case 14:case 13:case 14:return 0;case 16:case 8:return-ERRNO_CODES.EINVAL;case 9:___setErrNo(ERRNO_CODES.EINVAL);return-1;default:{return-ERRNO_CODES.EINVAL}}}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall33(which,varargs){SYSCALLS.varargs=varargs;try{var path=SYSCALLS.getStr(),amode=SYSCALLS.get();return SYSCALLS.doAccess(path,amode)}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall5(which,varargs){SYSCALLS.varargs=varargs;try{var pathname=SYSCALLS.getStr(),flags=SYSCALLS.get(),mode=SYSCALLS.get();var stream=FS.open(pathname,flags,mode);return stream.fd}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall54(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),op=SYSCALLS.get();switch(op){case 21509:case 21505:{if(!stream.tty)return-ERRNO_CODES.ENOTTY;return 0};case 21510:case 21511:case 21512:case 21506:case 21507:case 21508:{if(!stream.tty)return-ERRNO_CODES.ENOTTY;return 0};case 21519:{if(!stream.tty)return-ERRNO_CODES.ENOTTY;var argp=SYSCALLS.get();HEAP32[argp>>2]=0;return 0};case 21520:{if(!stream.tty)return-ERRNO_CODES.ENOTTY;return-ERRNO_CODES.EINVAL};case 21531:{var argp=SYSCALLS.get();return FS.ioctl(stream,op,argp)};case 21523:{if(!stream.tty)return-ERRNO_CODES.ENOTTY;return 0};default:abort("bad ioctl syscall "+op)}}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall6(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD();FS.close(stream);return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall91(which,varargs){SYSCALLS.varargs=varargs;try{var addr=SYSCALLS.get(),len=SYSCALLS.get();var info=SYSCALLS.mappings[addr];if(!info)return 0;if(len===info.len){var stream=FS.getStream(info.fd);SYSCALLS.doMsync(addr,stream,len,info.flags);FS.munmap(stream);SYSCALLS.mappings[addr]=null;if(info.allocated){_free(info.malloc)}}return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}var cttz_i8=allocate([8,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,6,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,7,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,6,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0],"i8",ALLOC_STATIC);function ___unlock(){}function __exit(status){Module["exit"](status)}function _exit(status){__exit(status)}var _environ=STATICTOP;STATICTOP+=16;function ___buildEnvironment(env){var MAX_ENV_VALUES=64;var TOTAL_ENV_SIZE=1024;var poolPtr;var envPtr;if(!___buildEnvironment.called){___buildEnvironment.called=true;ENV["USER"]=ENV["LOGNAME"]="web_user";ENV["PATH"]="/";ENV["PWD"]="/";ENV["HOME"]="/home/web_user";ENV["LANG"]="C.UTF-8";ENV["_"]=Module["thisProgram"];poolPtr=staticAlloc(TOTAL_ENV_SIZE);envPtr=staticAlloc(MAX_ENV_VALUES*4);HEAP32[envPtr>>2]=poolPtr;HEAP32[_environ>>2]=envPtr}else{envPtr=HEAP32[_environ>>2];poolPtr=HEAP32[envPtr>>2]}var strings=[];var totalSize=0;for(var key in env){if(typeof env[key]==="string"){var line=key+"="+env[key];strings.push(line);totalSize+=line.length}}if(totalSize>TOTAL_ENV_SIZE){throw new Error("Environment size exceeded TOTAL_ENV_SIZE!")}var ptrSize=4;for(var i=0;i<strings.length;i++){var line=strings[i];writeAsciiToMemory(line,poolPtr);HEAP32[envPtr+i*ptrSize>>2]=poolPtr;poolPtr+=line.length+1}HEAP32[envPtr+strings.length*ptrSize>>2]=0}var ENV={};function _getenv(name){if(name===0)return 0;name=Pointer_stringify(name);if(!ENV.hasOwnProperty(name))return 0;if(_getenv.ret)_free(_getenv.ret);_getenv.ret=allocateUTF8(ENV[name]);return _getenv.ret}var _llvm_ceil_f64=Math_ceil;var _llvm_fabs_f64=Math_abs;var _llvm_floor_f64=Math_floor;var _llvm_pow_f64=Math_pow;var _llvm_sqrt_f64=Math_sqrt;function _llvm_trap(){abort("trap!")}function _longjmp(env,value){Module["setThrew"](env,value||1);throw"longjmp"}function _emscripten_memcpy_big(dest,src,num){HEAPU8.set(HEAPU8.subarray(src,src+num),dest);return dest}function _setenv(envname,envval,overwrite){if(envname===0){___setErrNo(ERRNO_CODES.EINVAL);return-1}var name=Pointer_stringify(envname);var val=Pointer_stringify(envval);if(name===""||name.indexOf("=")!==-1){___setErrNo(ERRNO_CODES.EINVAL);return-1}if(ENV.hasOwnProperty(name)&&!overwrite)return 0;ENV[name]=val;___buildEnvironment(ENV);return 0}function _times(buffer){if(buffer!==0){_memset(buffer,0,16)}return 0}if(ENVIRONMENT_IS_NODE){_emscripten_get_now=function _emscripten_get_now_actual(){var t=process["hrtime"]();return t[0]*1e3+t[1]/1e6}}else if(typeof dateNow!=="undefined"){_emscripten_get_now=dateNow}else if(typeof self==="object"&&self["performance"]&&typeof self["performance"]["now"]==="function"){_emscripten_get_now=(function(){return self["performance"]["now"]()})}else if(typeof performance==="object"&&typeof performance["now"]==="function"){_emscripten_get_now=(function(){return performance["now"]()})}else{_emscripten_get_now=Date.now}FS.staticInit();__ATINIT__.unshift((function(){if(!Module["noFSInit"]&&!FS.init.initialized)FS.init()}));__ATMAIN__.push((function(){FS.ignorePermissions=false}));__ATEXIT__.push((function(){FS.quit()}));__ATINIT__.unshift((function(){TTY.init()}));__ATEXIT__.push((function(){TTY.shutdown()}));if(ENVIRONMENT_IS_NODE){var fs=require("fs");var NODEJS_PATH=require("path");NODEFS.staticInit()}___buildEnvironment(ENV);DYNAMICTOP_PTR=staticAlloc(4);STACK_BASE=STACKTOP=alignMemory(STATICTOP);STACK_MAX=STACK_BASE+TOTAL_STACK;DYNAMIC_BASE=alignMemory(STACK_MAX);HEAP32[DYNAMICTOP_PTR>>2]=DYNAMIC_BASE;staticSealed=true;var ASSERTIONS=false;function intArrayFromString(stringy,dontAddNull,length){var len=length>0?length:lengthBytesUTF8(stringy)+1;var u8array=new Array(len);var numBytesWritten=stringToUTF8Array(stringy,u8array,0,u8array.length);if(dontAddNull)u8array.length=numBytesWritten;return u8array}function intArrayToString(array){var ret=[];for(var i=0;i<array.length;i++){var chr=array[i];if(chr>255){if(ASSERTIONS){assert(false,"Character code "+chr+" ("+String.fromCharCode(chr)+")  at offset "+i+" not in 0x00-0xFF.")}chr&=255}ret.push(String.fromCharCode(chr))}return ret.join("")}var decodeBase64=typeof atob==="function"?atob:(function(input){var keyStr="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=";var output="";var chr1,chr2,chr3;var enc1,enc2,enc3,enc4;var i=0;input=input.replace(/[^A-Za-z0-9\+\/\=]/g,"");do{enc1=keyStr.indexOf(input.charAt(i++));enc2=keyStr.indexOf(input.charAt(i++));enc3=keyStr.indexOf(input.charAt(i++));enc4=keyStr.indexOf(input.charAt(i++));chr1=enc1<<2|enc2>>4;chr2=(enc2&15)<<4|enc3>>2;chr3=(enc3&3)<<6|enc4;output=output+String.fromCharCode(chr1);if(enc3!==64){output=output+String.fromCharCode(chr2)}if(enc4!==64){output=output+String.fromCharCode(chr3)}}while(i<input.length);return output});function intArrayFromBase64(s){if(typeof ENVIRONMENT_IS_NODE==="boolean"&&ENVIRONMENT_IS_NODE){var buf;try{buf=Buffer.from(s,"base64")}catch(_){buf=new Buffer(s,"base64")}return new Uint8Array(buf.buffer,buf.byteOffset,buf.byteLength)}try{var decoded=decodeBase64(s);var bytes=new Uint8Array(decoded.length);for(var i=0;i<decoded.length;++i){bytes[i]=decoded.charCodeAt(i)}return bytes}catch(_){throw new Error("Converting base64 string to bytes failed.")}}function tryParseAsDataURI(filename){if(!isDataURI(filename)){return}return intArrayFromBase64(filename.slice(dataURIPrefix.length))}function invoke_d(index){try{return Module["dynCall_d"](index)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_dddd(index,a1,a2,a3){try{return Module["dynCall_dddd"](index,a1,a2,a3)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_i(index){try{return Module["dynCall_i"](index)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_ii(index,a1){try{return Module["dynCall_ii"](index,a1)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iii(index,a1,a2){try{return Module["dynCall_iii"](index,a1,a2)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiii(index,a1,a2,a3){try{return Module["dynCall_iiii"](index,a1,a2,a3)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiii(index,a1,a2,a3,a4){try{return Module["dynCall_iiiii"](index,a1,a2,a3,a4)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiii(index,a1,a2,a3,a4,a5){try{return Module["dynCall_iiiiii"](index,a1,a2,a3,a4,a5)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiii(index,a1,a2,a3,a4,a5,a6){try{return Module["dynCall_iiiiiii"](index,a1,a2,a3,a4,a5,a6)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_v(index){try{Module["dynCall_v"](index)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vi(index,a1){try{Module["dynCall_vi"](index,a1)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vii(index,a1,a2){try{Module["dynCall_vii"](index,a1,a2)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viii(index,a1,a2,a3){try{Module["dynCall_viii"](index,a1,a2,a3)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiddi(index,a1,a2,a3,a4,a5,a6){try{Module["dynCall_viiiddi"](index,a1,a2,a3,a4,a5,a6)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiii(index,a1,a2,a3,a4){try{Module["dynCall_viiii"](index,a1,a2,a3,a4)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiii(index,a1,a2,a3,a4,a5){try{Module["dynCall_viiiii"](index,a1,a2,a3,a4,a5)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiii(index,a1,a2,a3,a4,a5,a6){try{Module["dynCall_viiiiii"](index,a1,a2,a3,a4,a5,a6)}catch(e){if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}Module.asmGlobalArg={"Math":Math,"Int8Array":Int8Array,"Int16Array":Int16Array,"Int32Array":Int32Array,"Uint8Array":Uint8Array,"Uint16Array":Uint16Array,"Uint32Array":Uint32Array,"Float32Array":Float32Array,"Float64Array":Float64Array,"NaN":NaN,"Infinity":Infinity};Module.asmLibraryArg={"abort":abort,"assert":assert,"enlargeMemory":enlargeMemory,"getTotalMemory":getTotalMemory,"abortOnCannotGrowMemory":abortOnCannotGrowMemory,"invoke_d":invoke_d,"invoke_dddd":invoke_dddd,"invoke_i":invoke_i,"invoke_ii":invoke_ii,"invoke_iii":invoke_iii,"invoke_iiii":invoke_iiii,"invoke_iiiii":invoke_iiiii,"invoke_iiiiii":invoke_iiiiii,"invoke_iiiiiii":invoke_iiiiiii,"invoke_v":invoke_v,"invoke_vi":invoke_vi,"invoke_vii":invoke_vii,"invoke_viii":invoke_viii,"invoke_viiiddi":invoke_viiiddi,"invoke_viiii":invoke_viiii,"invoke_viiiii":invoke_viiiii,"invoke_viiiiii":invoke_viiiiii,"___assert_fail":___assert_fail,"___buildEnvironment":___buildEnvironment,"___clock_gettime":___clock_gettime,"___lock":___lock,"___map_file":___map_file,"___setErrNo":___setErrNo,"___syscall10":___syscall10,"___syscall140":___syscall140,"___syscall145":___syscall145,"___syscall146":___syscall146,"___syscall192":___syscall192,"___syscall195":___syscall195,"___syscall197":___syscall197,"___syscall221":___syscall221,"___syscall33":___syscall33,"___syscall5":___syscall5,"___syscall54":___syscall54,"___syscall6":___syscall6,"___syscall91":___syscall91,"___unlock":___unlock,"__exit":__exit,"_clock_gettime":_clock_gettime,"_emscripten_asm_const_iii":_emscripten_asm_const_iii,"_emscripten_get_now":_emscripten_get_now,"_emscripten_get_now_is_monotonic":_emscripten_get_now_is_monotonic,"_emscripten_memcpy_big":_emscripten_memcpy_big,"_exit":_exit,"_getenv":_getenv,"_llvm_ceil_f64":_llvm_ceil_f64,"_llvm_fabs_f64":_llvm_fabs_f64,"_llvm_floor_f64":_llvm_floor_f64,"_llvm_pow_f64":_llvm_pow_f64,"_llvm_sqrt_f64":_llvm_sqrt_f64,"_llvm_trap":_llvm_trap,"_longjmp":_longjmp,"_setenv":_setenv,"_times":_times,"DYNAMICTOP_PTR":DYNAMICTOP_PTR,"tempDoublePtr":tempDoublePtr,"ABORT":ABORT,"STACKTOP":STACKTOP,"STACK_MAX":STACK_MAX,"cttz_i8":cttz_i8};// EMSCRIPTEN_START_ASM
var asm=(/** @suppress {uselessCode} */ function(global,env,buffer) {
"use asm";var a=new global.Int8Array(buffer);var b=new global.Int16Array(buffer);var c=new global.Int32Array(buffer);var d=new global.Uint8Array(buffer);var e=new global.Uint16Array(buffer);var f=new global.Uint32Array(buffer);var g=new global.Float32Array(buffer);var h=new global.Float64Array(buffer);var i=env.DYNAMICTOP_PTR|0;var j=env.tempDoublePtr|0;var k=env.ABORT|0;var l=env.STACKTOP|0;var m=env.STACK_MAX|0;var n=env.cttz_i8|0;var o=0;var p=0;var q=0;var r=0;var s=global.NaN,t=global.Infinity;var u=0,v=0,w=0,x=0,y=0.0;var z=0;var A=global.Math.floor;var B=global.Math.abs;var C=global.Math.sqrt;var D=global.Math.pow;var E=global.Math.cos;var F=global.Math.sin;var G=global.Math.tan;var H=global.Math.acos;var I=global.Math.asin;var J=global.Math.atan;var K=global.Math.atan2;var L=global.Math.exp;var M=global.Math.log;var N=global.Math.ceil;var O=global.Math.imul;var P=global.Math.min;var Q=global.Math.max;var R=global.Math.clz32;var S=env.abort;var T=env.assert;var U=env.enlargeMemory;var V=env.getTotalMemory;var W=env.abortOnCannotGrowMemory;var X=env.invoke_d;var Y=env.invoke_dddd;var Z=env.invoke_i;var _=env.invoke_ii;var $=env.invoke_iii;var aa=env.invoke_iiii;var ba=env.invoke_iiiii;var ca=env.invoke_iiiiii;var da=env.invoke_iiiiiii;var ea=env.invoke_v;var fa=env.invoke_vi;var ga=env.invoke_vii;var ha=env.invoke_viii;var ia=env.invoke_viiiddi;var ja=env.invoke_viiii;var ka=env.invoke_viiiii;var la=env.invoke_viiiiii;var ma=env.___assert_fail;var na=env.___buildEnvironment;var oa=env.___clock_gettime;var pa=env.___lock;var qa=env.___map_file;var ra=env.___setErrNo;var sa=env.___syscall10;var ta=env.___syscall140;var ua=env.___syscall145;var va=env.___syscall146;var wa=env.___syscall192;var xa=env.___syscall195;var ya=env.___syscall197;var za=env.___syscall221;var Aa=env.___syscall33;var Ba=env.___syscall5;var Ca=env.___syscall54;var Da=env.___syscall6;var Ea=env.___syscall91;var Fa=env.___unlock;var Ga=env.__exit;var Ha=env._clock_gettime;var Ia=env._emscripten_asm_const_iii;var Ja=env._emscripten_get_now;var Ka=env._emscripten_get_now_is_monotonic;var La=env._emscripten_memcpy_big;var Ma=env._exit;var Na=env._getenv;var Oa=env._llvm_ceil_f64;var Pa=env._llvm_fabs_f64;var Qa=env._llvm_floor_f64;var Ra=env._llvm_pow_f64;var Sa=env._llvm_sqrt_f64;var Ta=env._llvm_trap;var Ua=env._longjmp;var Va=env._setenv;var Wa=env._times;var Xa=0.0;
// EMSCRIPTEN_START_FUNCS
function nb(a){a=a|0;var b=0;b=l;l=l+a|0;l=l+15&-16;return b|0}function ob(){return l|0}function pb(a){a=a|0;l=a}function qb(a,b){a=a|0;b=b|0;l=a;m=b}function rb(a,b){a=a|0;b=b|0;if(!o){o=a;p=b}}function sb(a){a=a|0;z=a}function tb(){return z|0}function ub(a){a=a|0;c[41840]=a;return 0}function vb(){return c[41840]|0}function wb(a,b){a=a|0;b=b|0;Ia(0,a|0,b|0)|0;return}function xb(a){a=a|0;c[42183]=a;return}function yb(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;f=i+4|0;g=i;c[f>>2]=0;h=ks()|0;ps(h,10904);ps(h,17148);Zl(1)|0;Yl(16)|0;ep(1);while(1){a=Sn(a)|0;e=c[f>>2]|0;if(!a)break;if(!e){ls(h,a,d)|0;os(h,a,b,f,g)|0;hr(h,a)|0}ln(a)|0;a=174181}l=i;return e|0}function zb(a){a=a|0;var d=0,e=0,f=0,g=0;g=l;l=l+16|0;d=g+4|0;e=g;f=c[(c[a+16>>2]|0)+8>>2]|0;a=a+64|0;switch(c[a>>2]|0){case 0:{vx(f);break}case 1:{if(b[(c[f+16>>2]|0)+136>>1]&1)nB(f);break}case 4:case 5:case 6:{sx(f,e,d);Cb(f,c[e>>2]|0,c[d>>2]|0,c[a>>2]|0);break}default:{}}l=g;return}function Ab(a){a=a|0;var b=0,d=0,e=0,f=0;d=c[(c[a+16>>2]|0)+8>>2]|0;if(!(c[41841]|0)){c[41841]=c[4442];c[41842]=9;c[41843]=17}e=d+64|0;f=(c[e>>2]|0)+8|0;b=c[f>>2]|0;c[f>>2]=167364;switch(c[a+64>>2]|0){case 2:{ix(a,d,a,0);break}case 3:{ix(a,d,a,1);break}case 1:case 0:{if(!(c[a+152>>2]&134217728))_p(d,a)|0;break}case 6:case 5:case 4:{Bb(d);if(!(c[a+152>>2]&134217728))_p(d,a)|0;break}default:{}}c[(c[e>>2]|0)+8>>2]=b;return}function Bb(b){b=b|0;var d=0,e=0;d=c[41845]|0;if((d|0)!=(c[41844]|0)){e=c[c[41876]>>2]|0;if(!e){e=tB(b,0,84827,174181)|0;c[c[41876]>>2]=e;d=c[41845]|0}if(d>>>0>=(c[41846]|0)>>>0){dm(167376,1)|0;d=c[41845]|0}a[d>>0]=0;d=c[41844]|0;c[41845]=d;Cm(b,e,d)|0}if(c[(c[b+16>>2]|0)+12>>2]|0){e=c[(c[41876]|0)+4>>2]|0;d=c[41861]|0;if(d>>>0>=(c[41862]|0)>>>0){dm(167440,1)|0;d=c[41861]|0}a[d>>0]=0;d=c[41860]|0;c[41861]=d;Cm(b,e,d)|0}Lm(b,59577,c[(c[41876]|0)+8236>>2]|0,174181)|0;d=0;while(1){if((d|0)==8)break;gm(167376+(d<<4)|0);d=d+1|0}_I(c[41876]|0);h[1]=1.0;h[5]=1.0;c[41877]=0;c[41881]=0;return}function Cb(d,e,f,g){d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0;i=ZI(8240)|0;c[41876]=i;a:do switch(g|0){case 6:{b[i+8232>>1]=14;g=59593;break}case 5:{b[i+8232>>1]=12;g=59597;break}default:{g=Im(d,59577)|0;if((g|0?a[g>>0]|0:0)?(h=Db(g)|0,(h&65535)>10):0){i=c[41876]|0;b[i+8232>>1]=h;break a}g=Db(59589)|0;i=c[41876]|0;b[i+8232>>1]=g;g=59589}}while(0);c[i+8236>>2]=g;j=d+16|0;g=c[j>>2]|0;if(!(c[g+180>>2]|0))h=0;else{h=tB(d,0,84827,174181)|0;i=c[41876]|0;g=c[j>>2]|0}c[i>>2]=h;if(!(a[g+113>>0]&8))g=0;else g=tB(d,0,59601,174181)|0;c[(c[41876]|0)+4>>2]=g;i=tB(d,1,84827,174181)|0;c[(c[41876]|0)+8>>2]=i;i=tB(d,1,59601,174181)|0;c[(c[41876]|0)+12>>2]=i;i=tB(d,2,84827,174181)|0;g=c[41876]|0;c[g+16>>2]=i;if(!f)h=0;else{h=tB(d,2,59609,174181)|0;g=c[41876]|0}c[g+20>>2]=h;if(!e)h=0;else{h=tB(d,2,59617,174181)|0;g=c[41876]|0}c[g+24>>2]=h;h=a[(c[j>>2]|0)+113>>0]|0;if(!(h&33))i=0;else{i=tB(d,2,59601,174181)|0;g=c[41876]|0;h=a[(c[j>>2]|0)+113>>0]|0}c[g+28>>2]=i;if(!(h&2))i=0;else{i=tB(d,2,59625,174181)|0;g=c[41876]|0;h=a[(c[j>>2]|0)+113>>0]|0}c[g+32>>2]=i;if(!(h&4))h=0;else{h=tB(d,2,59634,174181)|0;g=c[41876]|0}c[g+36>>2]=h;g=0;while(1){if((g|0)==8)break;cm(167376+(g<<4)|0,1024,(c[41876]|0)+40+(g<<10)|0);g=g+1|0}return}function Db(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0;j=l;l=l+1040|0;h=j;g=j+8|0;f=0;d=b;a:while(1){do{e=d;d=d+1|0;e=a[e>>0]|0;if(!(e<<24>>24))break a}while(((e<<24>>24)+-48|0)>>>0>=10);if((f|0)>=1023){i=7;break}a[g+f>>0]=e;f=f+1|0}if((i|0)==7){c[h>>2]=b;_l(0,59643,h)|0}a[g+f>>0]=0;i=(rM(g)|0)&65535;l=j;return i|0}function Eb(b){b=b|0;var d=0,e=0;e=c[(c[b+16>>2]|0)+8>>2]|0;d=c[c[41876]>>2]|0;b=c[41849]|0;if(b>>>0>=(c[41850]|0)>>>0){dm(167392,1)|0;b=c[41849]|0}a[b>>0]=0;b=c[41848]|0;c[41849]=b;Cm(e,d,b)|0;if(c[(c[e+16>>2]|0)+12>>2]|0){d=c[(c[41876]|0)+4>>2]|0;b=c[41865]|0;if(b>>>0>=(c[41866]|0)>>>0){dm(167456,1)|0;b=c[41865]|0}a[b>>0]=0;b=c[41864]|0;c[41865]=b;Cm(e,d,b)|0}h[2]=1.0;h[6]=1.0;c[41878]=0;c[41882]=0;return}function Fb(b){b=b|0;var d=0,e=0;e=c[(c[b+16>>2]|0)+8>>2]|0;b=c[41849]|0;if((c[41848]|0)!=(b|0)){d=c[(c[41876]|0)+8>>2]|0;if(b>>>0>=(c[41850]|0)>>>0){dm(167392,1)|0;b=c[41849]|0}a[b>>0]=0;b=c[41848]|0;c[41849]=b;Cm(e,d,b)|0}b=c[41865]|0;if((c[41864]|0)!=(b|0)){d=c[(c[41876]|0)+12>>2]|0;if(b>>>0>=(c[41866]|0)>>>0){dm(167456,1)|0;b=c[41865]|0}a[b>>0]=0;b=c[41864]|0;c[41865]=b;Cm(e,d,b)|0}h[9]=1.0;h[11]=1.0;c[41885]=0;c[41887]=0;return}function Gb(b){b=b|0;var d=0,e=0;e=c[(c[b+16>>2]|0)+8>>2]|0;b=c[41849]|0;if((c[41848]|0)!=(b|0)){d=c[(c[41876]|0)+16>>2]|0;if(b>>>0>=(c[41850]|0)>>>0){dm(167392,1)|0;b=c[41849]|0}a[b>>0]=0;b=c[41848]|0;c[41849]=b;Cm(e,d,b)|0}b=c[41853]|0;if((c[41852]|0)!=(b|0)){d=c[(c[41876]|0)+24>>2]|0;if(b>>>0>=(c[41854]|0)>>>0){dm(167408,1)|0;b=c[41853]|0}a[b>>0]=0;b=c[41852]|0;c[41853]=b;Cm(e,d,b)|0}b=c[41857]|0;if((c[41856]|0)!=(b|0)){d=c[(c[41876]|0)+20>>2]|0;if(b>>>0>=(c[41858]|0)>>>0){dm(167424,1)|0;b=c[41857]|0}a[b>>0]=0;b=c[41856]|0;c[41857]=b;Cm(e,d,b)|0}b=c[41865]|0;if((c[41864]|0)!=(b|0)){d=c[(c[41876]|0)+28>>2]|0;if(b>>>0>=(c[41866]|0)>>>0){dm(167456,1)|0;b=c[41865]|0}a[b>>0]=0;b=c[41864]|0;c[41865]=b;Cm(e,d,b)|0}b=c[41869]|0;if((c[41868]|0)!=(b|0)){d=c[(c[41876]|0)+36>>2]|0;if(b>>>0>=(c[41870]|0)>>>0){dm(167472,1)|0;b=c[41869]|0}a[b>>0]=0;b=c[41868]|0;c[41869]=b;Cm(e,d,b)|0}b=c[41873]|0;if((c[41872]|0)!=(b|0)){d=c[(c[41876]|0)+32>>2]|0;if(b>>>0>=(c[41874]|0)>>>0){dm(167488,1)|0;b=c[41873]|0}a[b>>0]=0;b=c[41872]|0;c[41873]=b;Cm(e,d,b)|0}h[10]=1.0;h[12]=1.0;h[3]=1.0;h[4]=1.0;h[7]=1.0;h[8]=1.0;c[41886]=0;c[41888]=0;c[41879]=0;c[41880]=0;c[41883]=0;c[41884]=0;return}function Hb(d,e,f){d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;t=l;l=l+1056|0;j=t+16|0;s=t+8|0;r=t;k=t+32|0;o=c[(c[d+16>>2]|0)+12>>2]|0;p=c[11344+(o<<2)>>2]|0;fm(p,59746)|0;g=f+4|0;Qb(k,+h[(c[g>>2]|0)+16>>3]);fm(p,k)|0;Tb(d,174181,c[c[g>>2]>>2]|0);Nb(d);q=a[f+48>>0]|0;q=q<<24>>24==108?-1:q<<24>>24==114&1;g=c[g>>2]|0;if(!g)g=0;else g=c[g+24>>2]&127;i=b[(c[41876]|0)+8232>>1]|0;if((i&65535)>14?(m=c[11392+((i&65535)+-15<<2)>>2]&g,n=167508+(o<<2)|0,(c[n>>2]|0)!=(m|0)):0){c[r>>2]=m;pL(k,59749,r)|0;fm(p,k)|0;c[n>>2]=m}r=e+8|0;h[r>>3]=+h[r>>3]+ +h[f+24>>3];fm(p,59755)|0;c[j>>2]=c[e>>2];c[j+4>>2]=c[e+4>>2];c[j+8>>2]=c[e+8>>2];c[j+12>>2]=c[e+12>>2];Pb(p,j);c[s>>2]=q;pL(k,87254,s)|0;fm(p,k)|0;Qb(k,+h[f+32>>3]);fm(p,k)|0;Tb(d,174181,c[f>>2]|0);l=t;return}function Ib(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0;i=l;l=l+1040|0;f=i;g=i+16|0;e=c[(c[a+16>>2]|0)+12>>2]|0;Mb(a);Nb(a);if(!d){a=c[11344+(e<<2)>>2]|0;fm(a,59743)|0}else{if((d|1|0)==3)Vb(a,d,b,2);else Wb(a);a=c[11344+(e<<2)>>2]|0;fm(a,59740)|0};c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];Pb(a,f);Qb(g,+h[b+16>>3]-+h[b>>3]);fm(a,g)|0;Qb(g,+h[b+24>>3]-+h[b+8>>3]);fm(a,g)|0;l=i;return}function Jb(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;Mb(a);Nb(a);if(!d)Ob(a,112,b,c);else{if((d|1|0)==3)Vb(a,d,b,c);else Wb(a);Ob(a,80,b,c)}return}function Kb(a,b,c,d,e,f){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;Mb(a);Nb(a);if(!f)Ob(a,66,b,c);else{if((f|1|0)==3)Vb(a,f,b,c);else Wb(a);Ob(a,98,b,c)}return}function Lb(a,b,c){a=a|0;b=b|0;c=c|0;Mb(a);Nb(a);Ob(a,76,b,c);return}function Mb(b){b=b|0;var d=0,e=0,f=0,g=0.0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+1184|0;i=n;f=n+24|0;m=n+8|0;cm(m,1024,n+152|0);j=b+16|0;d=c[j>>2]|0;g=+h[d+152>>3];e=8+(c[d+12>>2]<<3)|0;if(g!=+h[e>>3]){h[e>>3]=g;fm(m,59706)|0;h[i>>3]=+h[(c[j>>2]|0)+152>>3];pL(f,59720,i)|0;Rb(f,0);fm(m,f)|0;f=m+4|0;d=c[f>>2]|0;e=m+8|0;if(d>>>0>=(c[e>>2]|0)>>>0){dm(m,1)|0;d=c[f>>2]|0}c[f>>2]=d+1;a[d>>0]=41;d=c[f>>2]|0;if(d>>>0>=(c[e>>2]|0)>>>0){dm(m,1)|0;d=c[f>>2]|0}a[d>>0]=0;d=c[m>>2]|0;c[f>>2]=d;Tb(b,59725,d);d=c[j>>2]|0}d=c[d+160>>2]|0;if(d|0){j=m+4|0;k=m+8|0;a:while(1){i=d+4|0;d=c[d>>2]|0;if(!d)break;switch(a[d>>0]|0){case 102:{if(!(xJ(d,95923)|0)){d=i;continue a}break}case 98:{if(!(xJ(d,95905)|0)){d=i;continue a}break}case 115:{if(!(xJ(d,95910)|0)){d=i;continue a}break}default:{}}fm(m,d)|0;do{f=d;d=d+1|0}while((a[f>>0]|0)!=0);if(a[d>>0]|0){e=c[j>>2]|0;if(e>>>0>=(c[k>>2]|0)>>>0){dm(m,1)|0;e=c[j>>2]|0}c[j>>2]=e+1;a[e>>0]=40;f=0;while(1){if(!(a[d>>0]|0))break;if(f|0){e=c[j>>2]|0;if(e>>>0>=(c[k>>2]|0)>>>0){dm(m,1)|0;e=c[j>>2]|0}c[j>>2]=e+1;a[e>>0]=44}fm(m,d)|0;do{e=d;d=d+1|0}while((a[e>>0]|0)!=0);f=f+1|0}d=c[j>>2]|0;if(d>>>0>=(c[k>>2]|0)>>>0){dm(m,1)|0;d=c[j>>2]|0}c[j>>2]=d+1;a[d>>0]=41}d=c[j>>2]|0;if(d>>>0>=(c[k>>2]|0)>>>0){dm(m,1)|0;d=c[j>>2]|0}a[d>>0]=0;d=c[m>>2]|0;c[j>>2]=d;Tb(b,59725,d);d=i}gm(m)}l=n;return}function Nb(a){a=a|0;Sb((c[a+16>>2]|0)+16|0);Tb(a,68667,173882);return}function Ob(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0;k=l;l=l+1040|0;j=k;i=k+16|0;h=c[11344+(c[(c[b+16>>2]|0)+12>>2]<<2)>>2]|0;g=h+4|0;b=c[g>>2]|0;if(b>>>0>=(c[h+8>>2]|0)>>>0){dm(h,1)|0;b=c[g>>2]|0}c[g>>2]=b+1;a[b>>0]=d;c[j>>2]=f;pL(i,59670,j)|0;fm(h,i)|0;b=0;while(1){if((b|0)>=(f|0))break;i=e+(b<<4)|0;c[j>>2]=c[i>>2];c[j+4>>2]=c[i+4>>2];c[j+8>>2]=c[i+8>>2];c[j+12>>2]=c[i+12>>2];Pb(h,j);b=b+1|0}l=k;return}function Pb(a,b){a=a|0;b=b|0;var c=0,d=0;c=l;l=l+1024|0;d=c;Qb(d,+h[b>>3]);fm(a,d)|0;Qb(d,+hx(+h[b+8>>3]));fm(a,d)|0;l=c;return}function Qb(a,b){a=a|0;b=+b;var c=0,d=0;c=l;l=l+16|0;d=c;h[d>>3]=b>-1.0e-08&b<1.0e-08?0.0:b;pL(a,59675,d)|0;Rb(a,1);l=c;return}function Rb(b,c){b=b|0;c=c|0;var d=0,e=0;d=WJ(b,46)|0;if(!d){if(c|0){d=b+(rJ(b)|0)|0;e=10}}else{while(1){b=d+1|0;if(!(a[b>>0]|0))break;else d=b}a:while(1){switch(a[d>>0]|0){case 46:{e=5;break a}case 48:break;default:{e=6;break a}}a[d>>0]=0;d=d+-1|0}if((e|0)==5)a[d>>0]=0;else if((e|0)==6)d=d+1|0;if(c|0)e=10}if((e|0)==10){a[d>>0]=32;a[d+1>>0]=0}return}function Sb(b){b=b|0;var e=0,f=0,g=0,h=0,i=0,j=0;j=l;l=l+32|0;i=j+16|0;h=j;e=a[b+3>>0]|0;f=d[b>>0]|0;g=d[b+1>>0]|0;b=d[b+2>>0]|0;if(e<<24>>24==-1){c[h>>2]=f;c[h+4>>2]=g;c[h+8>>2]=b;pL(173882,68547,h)|0}else{c[i>>2]=f;c[i+4>>2]=g;c[i+8>>2]=b;c[i+12>>2]=e&255;pL(173882,59688,i)|0}l=j;return}function Tb(a,b,d){a=a|0;b=b|0;d=d|0;Ub(c[11344+(c[(c[a+16>>2]|0)+12>>2]<<2)>>2]|0,b,d);return}function Ub(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;f=l;l=l+1040|0;h=f;g=f+8|0;i=rJ(e)|0;c[h>>2]=d;c[h+4>>2]=i;pL(g,59681,h)|0;fm(b,g)|0;fm(b,e)|0;e=b+4|0;d=c[e>>2]|0;if(d>>>0>=(c[b+8>>2]|0)>>>0){dm(b,1)|0;d=c[e>>2]|0}c[e>>2]=d+1;a[d>>0]=32;l=f;return}function Vb(b,d,f,i){b=b|0;d=d|0;f=f|0;i=i|0;var j=0.0,k=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0.0;x=l;l=l+1120|0;t=x+64|0;w=x+80|0;k=x+32|0;r=x+16|0;s=x;u=c[b+16>>2]|0;j=+(c[u+136>>2]|0)*.017453292519943295;if((e[(c[41876]|0)+8232>>1]|0)<14)Wb(b);else{cm(w,1024,x+96|0);v=(d|0)==2;if(v){JB(f,k,i,j,2);f=w+4|0;d=c[f>>2]|0;if(d>>>0>=(c[w+8>>2]|0)>>>0){dm(w,1)|0;d=c[f>>2]|0}c[f>>2]=d+1;a[d>>0]=91;c[t>>2]=c[k>>2];c[t+4>>2]=c[k+4>>2];c[t+8>>2]=c[k+8>>2];c[t+12>>2]=c[k+12>>2];Pb(w,t);s=k+16|0;c[t>>2]=c[s>>2];c[t+4>>2]=c[s+4>>2];c[t+8>>2]=c[s+8>>2];c[t+12>>2]=c[s+12>>2];Pb(w,t)}else{JB(f,k,i,0.0,3);q=+h[k+24>>3];o=+h[k>>3];if(j==0.0){n=+h[k+8>>3];p=q*.25;j=n;m=o}else{p=q*.25;y=p;m=+E(+j)*y+o;n=+h[k+8>>3];j=+F(+j)*y+n}h[r>>3]=m;h[r+8>>3]=j;h[s>>3]=o;h[s+8>>3]=n;f=w+4|0;d=c[f>>2]|0;if(d>>>0>=(c[w+8>>2]|0)>>>0){dm(w,1)|0;d=c[f>>2]|0}c[f>>2]=d+1;a[d>>0]=40;c[t>>2]=c[r>>2];c[t+4>>2]=c[r+4>>2];c[t+8>>2]=c[r+8>>2];c[t+12>>2]=c[r+12>>2];Pb(w,t);Xb(w,p);c[t>>2]=c[s>>2];c[t+4>>2]=c[s+4>>2];c[t+8>>2]=c[s+8>>2];c[t+12>>2]=c[s+12>>2];Pb(w,t);Xb(w,q)}fm(w,59731)|0;d=u+140|0;j=+g[d>>2];f=u+56|0;if(j>0.0){Yb(w,j,f);Yb(w,+g[d>>2],u+96|0)}else{Yb(w,0.0,f);Yb(w,1.0,u+96|0)}hm(w)|0;k=w+4|0;d=c[k>>2]|0;i=w+8|0;f=d>>>0>=(c[i>>2]|0)>>>0;if(v){if(f){dm(w,1)|0;d=c[k>>2]|0}c[k>>2]=d+1;a[d>>0]=93}else{if(f){dm(w,1)|0;d=c[k>>2]|0}c[k>>2]=d+1;a[d>>0]=41}d=c[k>>2]|0;if(d>>>0>=(c[i>>2]|0)>>>0){dm(w,1)|0;d=c[k>>2]|0}a[d>>0]=0;v=c[w>>2]|0;c[k>>2]=v;Tb(b,59728,v);gm(w)}l=x;return}function Wb(a){a=a|0;Sb((c[a+16>>2]|0)+56|0);Tb(a,59728,173882);return}function Xb(a,b){a=a|0;b=+b;var c=0,d=0;c=l;l=l+1024|0;d=c;Qb(d,b);fm(a,d)|0;l=c;return}function Yb(a,b,c){a=a|0;b=+b;c=c|0;var d=0,e=0,f=0;d=l;l=l+1040|0;f=d;e=d+8|0;h[f>>3]=b;pL(e,59734,f)|0;Rb(e,1);Sb(c);Ub(a,e,173882);l=d;return}function Zb(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0;e=l;l=l+1040|0;i=e;f=e+16|0;g=c[11344+(c[(c[a+16>>2]|0)+12>>2]<<2)>>2]|0;fm(g,59843)|0;c[i>>2]=c[d>>2];c[i+4>>2]=c[d+4>>2];c[i+8>>2]=c[d+8>>2];c[i+12>>2]=c[d+12>>2];Pb(g,i);Qb(f,+h[d+16>>3]-+h[d>>3]);fm(g,f)|0;Qb(f,+h[d+24>>3]-+h[d+8>>3]);fm(g,f)|0;Tb(a,174181,c[b+8>>2]|0);l=e;return}function _b(a){a=a|0;var b=0;switch(c[a+64>>2]|0){case 0:{b=yr(c[a>>2]|0)|0;ms(b,c[(c[a+16>>2]|0)+8>>2]|0,60630,0)|0;zr(b);break}case 1:{vx(c[(c[a>>2]|0)+168>>2]|0);break}default:{}}return}function $b(b){b=b|0;var d=0,e=0,f=0,g=0;f=l;l=l+16|0;d=f;e=c[(c[b+16>>2]|0)+8>>2]|0;if(!(c[41889]|0)){c[41889]=c[4442];c[41890]=9;c[41891]=17}c[(c[e+64>>2]|0)+8>>2]=167556;ac(e,1);c[d>>2]=0;a[d+4>>0]=(a[(c[e+16>>2]|0)+115>>0]|0)==1&1;g=c[b+64>>2]|0;a[d+5>>0]=((g|0)==0|(g|0)==3)&1;a[d+6>>0]=0;bc(e,b,1,d);l=f;return}function ac(a,b){a=a|0;b=b|0;var d=0;c[a>>2]=c[a>>2]&-9;d=Jp(a)|0;while(1){if(!d)break;ac(d,0);d=Kp(d)|0}a:do if(b|0){b=co(a)|0;while(1){if(!b)break a;c[b>>2]=c[b>>2]&-9;d=Pm(a,b)|0;while(1){if(!d)break;c[d>>2]=c[d>>2]&-9;d=Rm(a,d)|0}b=eo(a,b)|0}}while(0);return}function bc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;q=l;l=l+16|0;p=q+8|0;o=q;n=(d|0)!=0;if(n){m=Ql(11764,c[4345]|0)|0;So(a,1,86799,12,0);So(a,2,86799,12,0);So(a,0,86799,-12,0);f=cc(a,0,m)|0;j=co(a)|0;i=0;g=0;while(1){if(!j)break;if(!(VJ(Dn(j)|0,93039,7)|0)){k=g;g=dc(m,Dn(j)|0)|0}else{k=g+1|0;g=g+f|0}c[(Lo(j,86799,0)|0)+8>>2]=g;h=Pm(a,j)|0;g=i;while(1){if(!h)break;c[(Lo(h,86799,0)|0)+8>>2]=g;h=Rm(a,h)|0;g=g+1|0}j=eo(a,j)|0;i=g;g=k}Kl(m)|0}else f=0;m=c[e>>2]|0;c[e>>2]=m+1;ec(b,m);mr(b,82337)|0;fc(a,b,d,e);gc(a,b,e);mr(b,82308)|0;ec(b,c[e>>2]|0);if(n){c[o>>2]=f;sr(b,59846,o)}else{c[p>>2]=c[(Lo(a,86799,0)|0)+8>>2];sr(b,59866,p)}ic(a,b,d,hc(a,b,d,e)|0,e);jc(a,b,d,e);mr(b,134901)|0;p=(c[e>>2]|0)+-1|0;c[e>>2]=p;ec(b,p);if(n)mr(b,95830)|0;else mr(b,68190)|0;l=q;return}function cc(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;if((so(a)|0)!=(a|0)){e=b+1|0;c[(Lo(a,86799,0)|0)+8>>2]=b;if(!(VJ(Dn(a)|0,93039,7)|0)){b=Dn(a)|0;vc(d,b,c[(Lo(a,86799,0)|0)+8>>2]|0);b=e}else b=e}e=Jp(a)|0;while(1){if(!e)break;a=cc(e,b,d)|0;e=Kp(e)|0;b=a}return b|0}function dc(a,b){a=a|0;b=b|0;a=bb[c[a>>2]&31](a,b,512)|0;if(!a)a=-1;else a=c[a+12>>2]|0;return a|0}function ec(a,b){a=a|0;b=b|0;while(1){if((b|0)<=0)break;mr(a,60598)|0;b=b+-1|0}return}function fc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;h=l;l=l+32|0;g=h+16|0;f=h+8|0;i=h;j=Dn(a)|0;ec(b,c[e>>2]|0);c[i>>2]=mc(j,e)|0;sr(b,59954,i);if(d|0){mr(b,82308)|0;ec(b,c[e>>2]|0);j=(qn(a)|0)!=0;c[f>>2]=j?92685:122100;sr(b,60568,f);ec(b,c[e>>2]|0);j=(sn(a)|0)!=0;c[g>>2]=j?92685:122100;sr(b,60585,g)}l=h;return}function gc(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;n=o+8|0;m=o;i=so(b)|0;j=c[b>>2]&3;f=Dm(i,j,0)|0;a:do if(f|0){k=e+5|0;while(1){if(!f)break a;g=Jm(b,f)|0;do if(g|0){h=f+8|0;if(!(a[g>>0]|0)){g=c[h>>2]|0;if((a[g>>0]|0)!=108)break;if(xJ(g,86240)|0)break}mr(d,82308)|0;ec(d,c[e>>2]|0);c[m>>2]=mc(c[h>>2]|0,e)|0;sr(d,60004,m);if(a[k>>0]|0?oc(c[h>>2]|0)|0:0){pc(Jm(b,f)|0,d,e);break}c[n>>2]=mc(Jm(b,f)|0,e)|0;sr(d,60011,n)}while(0);f=Dm(i,j,f)|0}}while(0);l=o;return}function hc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;i=l;l=l+16|0;h=i;f=Jp(a)|0;if(f){mr(b,82308)|0;g=c[e>>2]|0;c[e>>2]=g+1;ec(b,g);g=(d|0)!=0;if(g){mr(b,59928)|0;a=0;d=f}else{mr(b,59988)|0;ec(b,c[e>>2]|0);a=0;d=f}while(1){if(!d)break;if(!a)a=1;else mr(b,82308)|0;if(g)nc(d,b,e);else{c[h>>2]=c[(Lo(d,86799,0)|0)+8>>2];sr(b,122187,h)}d=Kp(d)|0}if(g)a=1;else{c[e>>2]=(c[e>>2]|0)+-1;mr(b,134901)|0;ec(b,c[e>>2]|0);mr(b,82303)|0;a=1}}else a=0;l=i;return a|0}function ic(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0;g=co(a)|0;if(!g){if((d|0)!=0&(e|0)!=0){c[f>>2]=(c[f>>2]|0)+-1;mr(b,134901)|0;ec(b,c[f>>2]|0);mr(b,82303)|0}}else{mr(b,82308)|0;h=(d|0)!=0;if(h)if(!e){e=c[f>>2]|0;c[f>>2]=e+1;ec(b,e);mr(b,59928)|0;e=0}else e=0;else{e=c[f>>2]|0;c[f>>2]=e+1;ec(b,e);mr(b,59942)|0;ec(b,c[f>>2]|0);e=0}while(1){if(!g)break;if(VJ(Dn(g)|0,93039,7)|0){do if(e)if(h){mr(b,82308)|0;break}else{mr(b,86030)|0;break}else e=1;while(0);lc(g,b,d,f)}g=eo(a,g)|0}c[f>>2]=(c[f>>2]|0)+-1;mr(b,134901)|0;ec(b,c[f>>2]|0);mr(b,82303)|0}return}function jc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;f=co(a)|0;a:do if(f|0){while(1){if(!f)break a;if(Pm(a,f)|0)break;f=eo(a,f)|0}mr(b,82308)|0;i=c[e>>2]|0;c[e>>2]=i+1;ec(b,i);mr(b,59878)|0;i=(d|0)!=0;if(i)g=0;else{ec(b,c[e>>2]|0);g=0}while(1){if(!f)break;h=Pm(a,f)|0;while(1){if(!h)break;do if(g)if(i){mr(b,82308)|0;break}else{mr(b,86030)|0;break}else g=1;while(0);kc(h,b,d,e);h=Rm(a,h)|0}f=eo(a,f)|0}c[e>>2]=(c[e>>2]|0)+-1;mr(b,134901)|0;ec(b,c[e>>2]|0);mr(b,82303)|0}while(0);return}function kc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;j=l;l=l+32|0;i=j+24|0;h=j+16|0;g=j+8|0;f=j;if(!d){c[i>>2]=c[(Lo(a,86799,0)|0)+8>>2];sr(b,122187,i)}else{i=c[e>>2]|0;c[e>>2]=i+1;ec(b,i);mr(b,82337)|0;ec(b,c[e>>2]|0);c[f>>2]=c[(Lo(a,86799,0)|0)+8>>2];sr(b,59890,f);ec(b,c[e>>2]|0);c[g>>2]=c[(Lo(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0,86799,0)|0)+8>>2];sr(b,59904,g);ec(b,c[e>>2]|0);c[h>>2]=c[(Lo(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0,86799,0)|0)+8>>2];sr(b,59917,h);gc(a,b,e);mr(b,134901)|0;i=(c[e>>2]|0)+-1|0;c[e>>2]=i;ec(b,i);mr(b,68190)|0}l=j;return}function lc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;i=l;l=l+32|0;h=i+16|0;g=i+8|0;f=i;if(!d){c[h>>2]=c[(Lo(a,86799,0)|0)+8>>2];sr(b,122187,h)}else{h=c[e>>2]|0;c[e>>2]=h+1;ec(b,h);mr(b,82337)|0;ec(b,c[e>>2]|0);c[f>>2]=c[(Lo(a,86799,0)|0)+8>>2];sr(b,59890,f);ec(b,c[e>>2]|0);c[g>>2]=mc(Dn(a)|0,e)|0;sr(b,59954,g);gc(a,b,e);mr(b,134901)|0;h=(c[e>>2]|0)+-1|0;c[e>>2]=h;ec(b,h);mr(b,68190)|0}l=i;return}function mc(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;g=d+4|0;if(a[g>>0]|0)b=yB(b)|0;if(!(c[41892]|0)){cm(167568,1024,0);e=b}else e=b;a:while(1){f=a[e>>0]|0;switch(f<<24>>24){case 0:break a;case 34:{fm(167568,59967)|0;break}case 92:{fm(167568,81579)|0;break}case 47:{fm(167568,59970)|0;break}case 8:{fm(167568,59973)|0;break}case 12:{fm(167568,59976)|0;break}case 10:{fm(167568,59979)|0;break}case 13:{fm(167568,59982)|0;break}case 9:{fm(167568,59985)|0;break}default:{d=c[41893]|0;if(d>>>0>=(c[41894]|0)>>>0){dm(167568,1)|0;d=c[41893]|0}c[41893]=d+1;a[d>>0]=f}}e=e+1|0}d=c[41893]|0;if(d>>>0>=(c[41894]|0)>>>0){dm(167568,1)|0;d=c[41893]|0}a[d>>0]=0;d=c[41892]|0;c[41893]=d;if(a[g>>0]|0)_I(b);return d|0}function nc(a,b,c){a=a|0;b=b|0;c=c|0;bc(a,b,0,c);a=Jp(a)|0;while(1){if(!a)break;mr(b,82308)|0;nc(a,b,c);a=Kp(a)|0}return}function oc(b){b=b|0;var c=0;c=b+1|0;a:do if((a[b>>0]|0)==95){b=(a[c>>0]|0)+-100<<24>>24;switch(((b&255)>>>2|b<<6&255)<<24>>24){case 0:{if(!(xJ(c,60525)|0)){b=1;break a}break}case 2:{if(!(xJ(c,60531)|0)){b=1;break a}break}case 1:{if(!(xJ(c,60538)|0)){b=1;break a}return (xJ(c,60552)|0)==0|0}case 4:{if(!(xJ(c,60545)|0)){b=1;break a}b=(xJ(c,60560)|0)==0&1;break a}default:{b=0;break a}}b=0}else b=0;while(0);return b|0}function pc(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;i=l;l=l+16|0;f=i;do if(b|0?a[b>>0]|0:0){h=wt(b)|0;if(!h){c[f>>2]=b;_l(0,60016,f)|0;break}mr(d,134901)|0;g=c[e>>2]|0;c[e>>2]=g+1;ec(d,g);mr(d,60043)|0;g=h+8|0;b=0;f=0;while(1){if((f|0)>=(c[h>>2]|0))break;if(!b)b=1;else mr(d,82308)|0;qc((c[g>>2]|0)+(f*80|0)|0,d,e);f=f+1|0}c[e>>2]=(c[e>>2]|0)+-1;mr(d,134901)|0;ec(d,c[e>>2]|0);mr(d,82303)|0;xt(h)}while(0);l=i;return}function qc(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0.0,C=0.0,D=0.0;A=l;l=l+240|0;y=A+224|0;x=A+216|0;w=A+208|0;v=A+200|0;u=A+192|0;t=A+184|0;s=A+176|0;r=A+152|0;q=A+136|0;p=A+128|0;o=A+112|0;n=A+104|0;m=A+96|0;k=A+88|0;j=A+72|0;i=A+48|0;z=A+40|0;g=A+8|0;f=A;e=c[d>>2]|0;c[d>>2]=e+1;ec(b,e);mr(b,82337)|0;ec(b,c[d>>2]|0);e=c[a>>2]|0;a:do switch(e|0){case 1:case 0:{c[f>>2]=(e|0)==0?69:101;sr(b,60046,f);ec(b,c[d>>2]|0);D=+h[a+16>>3];C=+h[a+24>>3];B=+h[a+32>>3];h[g>>3]=+h[a+8>>3];h[g+8>>3]=D;h[g+16>>3]=C;h[g+24>>3]=B;sr(b,60059,g);break}case 3:case 2:{c[z>>2]=(e|0)==2?80:112;sr(b,60046,z);ec(b,c[d>>2]|0);rc(b,a+8|0);break}case 5:case 4:{c[i>>2]=(e|0)==4?66:98;sr(b,60046,i);ec(b,c[d>>2]|0);rc(b,a+8|0);break}case 6:{sr(b,60094,A+56|0);ec(b,c[d>>2]|0);rc(b,a+8|0);break}case 7:{sr(b,60106,A+64|0);ec(b,c[d>>2]|0);D=+h[a+16>>3];h[j>>3]=+h[a+8>>3];h[j+8>>3]=D;sr(b,60118,j);ec(b,c[d>>2]|0);z=c[a+24>>2]|0;c[k>>2]=(z|0)==0?108:(z|0)==1?99:114;sr(b,60140,k);ec(b,c[d>>2]|0);h[m>>3]=+h[a+32>>3];sr(b,60156,m);ec(b,c[d>>2]|0);c[n>>2]=mc(c[a+40>>2]|0,d)|0;sr(b,60173,n);break}case 9:case 8:{c[o>>2]=(e|0)==8?67:99;sr(b,60046,o);ec(b,c[d>>2]|0);sr(b,60187,A+120|0);ec(b,c[d>>2]|0);c[p>>2]=mc(c[a+8>>2]|0,d)|0;sr(b,60204,p);break}case 13:case 14:{c[q>>2]=(e|0)==13?67:99;sr(b,60046,q);ec(b,c[d>>2]|0);switch(c[a+8>>2]|0){case 0:{sr(b,60187,A+144|0);ec(b,c[d>>2]|0);c[r>>2]=mc(c[a+16>>2]|0,d)|0;sr(b,60204,r);break a}case 1:{sr(b,60219,A+160|0);ec(b,c[d>>2]|0);sc(b,a+16|0,d);break a}default:{sr(b,60238,A+168|0);ec(b,c[d>>2]|0);tc(b,a+16|0,d);break a}}}case 10:{sr(b,60257,s);ec(b,c[d>>2]|0);h[t>>3]=+h[a+8>>3];sr(b,60269,t);ec(b,c[d>>2]|0);c[u>>2]=mc(c[a+16>>2]|0,d)|0;sr(b,60285,u);break}case 11:{sr(b,60299,v);ec(b,c[d>>2]|0);c[w>>2]=mc(c[a+8>>2]|0,d)|0;sr(b,60311,w);break}case 15:{sr(b,60326,x);ec(b,c[d>>2]|0);c[y>>2]=c[a+8>>2];sr(b,60338,y);break}default:{}}while(0);z=(c[d>>2]|0)+-1|0;c[d>>2]=z;ec(b,z);mr(b,68190)|0;l=A;return}function rc(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0.0;j=l;l=l+48|0;i=j+32|0;g=j+16|0;f=j+8|0;e=c[b>>2]|0;d=c[b+4>>2]|0;sr(a,60499,j);b=0;while(1){if((b|0)>=(e|0))break;if((b|0)>0)sr(a,86030,f);k=+h[d+(b*24|0)+8>>3];h[g>>3]=+h[d+(b*24|0)>>3];h[g+8>>3]=k;sr(a,60511,g);b=b+1|0}sr(a,60452,i);l=j;return}function sc(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0;e=l;l=l+32|0;f=e+16|0;i=e;ec(a,c[d>>2]|0);g=+h[b+8>>3];h[i>>3]=+h[b>>3];h[i+8>>3]=g;sr(a,60455,i);ec(a,c[d>>2]|0);g=+h[b+24>>3];h[f>>3]=+h[b+16>>3];h[f+8>>3]=g;sr(a,60477,f);ec(a,c[d>>2]|0);uc(a,c[b+32>>2]|0,c[b+36>>2]|0,d);l=e;return}function tc(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0.0,j=0;e=l;l=l+48|0;f=e+24|0;j=e;ec(a,c[d>>2]|0);g=+h[b+8>>3];i=+h[b+16>>3];h[j>>3]=+h[b>>3];h[j+8>>3]=g;h[j+16>>3]=i;sr(a,60354,j);ec(a,c[d>>2]|0);i=+h[b+32>>3];g=+h[b+40>>3];h[f>>3]=+h[b+24>>3];h[f+8>>3]=i;h[f+16>>3]=g;sr(a,60382,f);ec(a,c[d>>2]|0);uc(a,c[b+48>>2]|0,c[b+52>>2]|0,d);l=e;return}function uc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,i=0,j=0,k=0,m=0,n=0,o=0.0;m=l;l=l+48|0;k=m+32|0;j=m+16|0;i=m+8|0;sr(a,60410,m);f=0;while(1){if((f|0)>=(b|0))break;if((f|0)>0)sr(a,86030,i);o=+g[d+(f<<3)>>2];n=mc(c[d+(f<<3)+4>>2]|0,e)|0;h[j>>3]=o;c[j+8>>2]=n;sr(a,60421,j);f=f+1|0}sr(a,60452,k);l=m;return}function vc(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;g=l;l=l+16|0;f=g;e=bb[c[a>>2]&31](a,b,512)|0;if(e){if((c[e+12>>2]|0)!=(d|0)){c[f>>2]=b;_l(0,60601,f)|0}}else{f=$I(1,16)|0;c[f+8>>2]=GL(b)|0;c[f+12>>2]=d;bb[c[a>>2]&31](a,f,1)|0}l=g;return}function wc(a,b,d){a=a|0;b=b|0;d=d|0;_I(c[b+8>>2]|0);_I(b);return}function xc(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0;b=l;l=l+32|0;d=b+24|0;e=b+16|0;g=b;f=c[a+16>>2]|0;mr(a,61456)|0;j=c[c[a+12>>2]>>2]|0;i=c[j+4>>2]|0;h=c[j+8>>2]|0;c[g>>2]=c[j>>2];c[g+4>>2]=i;c[g+8>>2]=h;sr(a,61466,g);c[e>>2]=Dn(c[f+8>>2]|0)|0;sr(a,61501,e);c[d>>2]=O(c[a+168>>2]|0,c[a+164>>2]|0)|0;sr(a,61514,d);mr(a,61527)|0;mr(a,61537)|0;mr(a,61545)|0;mr(a,61553)|0;mr(a,61561)|0;mr(a,61569)|0;mr(a,61577)|0;mr(a,61581)|0;mr(a,61586)|0;l=b;return}function yc(a){a=a|0;mr(a,61437)|0;return}function zc(a){a=a|0;c[41896]=2;return}function Ac(a){a=a|0;c[41896]=1;return}function Bc(a){a=a|0;c[41896]=2;return}function Cc(a){a=a|0;c[41896]=0;return}function Dc(a){a=a|0;c[41896]=2;return}function Ec(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0,k=0.0,m=0,n=0,o=0,p=0,q=0.0,r=0.0,s=0;p=l;l=l+80|0;o=p;m=c[(c[b+16>>2]|0)+16>>2]|0;n=c[41896]|0;f=c[e+4>>2]|0;g=+h[b+352>>3]*+h[f+16>>3];i=c[b+360>>2]|0?1.5707963267948966:0.0;j=c[e>>2]|0;k=g*.3333333333333333*+((rJ(j)|0)>>>0);f=c[f+8>>2]|0;if(!f)f=-1;else f=c[f+20>>2]|0;s=a[e+48>>0]|0;r=+h[d>>3];q=+h[d+8>>3];e=Oc(j)|0;c[o>>2]=4;c[o+4>>2]=s<<24>>24==108?0:s<<24>>24==114?2:1;c[o+8>>2]=m;c[o+12>>2]=n;c[o+16>>2]=0;c[o+20>>2]=f;h[o+24>>3]=g;h[o+32>>3]=i;c[o+40>>2]=6;h[o+48>>3]=g;h[o+56>>3]=k;c[o+64>>2]=~~(r+(r>=0.0?.5:-.5));c[o+68>>2]=~~(q+(q+-72.0>=0.0?-71.5:-72.5));c[o+72>>2]=e;sr(b,61382,o);l=p;return}function Fc(b,e){b=b|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;n=l;l=l+32|0;j=n;i=n+20|0;m=e+32|0;a:do switch(c[m>>2]|0){case 5:{f=0;while(1){g=c[12652+(f<<2)>>2]|0;if((f|0)==8)break a;h=c[e>>2]|0;if((a[g>>0]|0)==(a[h>>0]|0)?(xJ(g,h)|0)==0:0){k=10;break a}f=f+1|0}}case 1:{g=e+1|0;h=e+2|0;f=(Nc(i,d[e>>0]|0,d[g>>0]|0,d[h>>0]|0)|0)+32|0;if(!(c[i>>2]|0))k=10;else{o=d[e>>0]|0;i=d[g>>0]|0;k=d[h>>0]|0;c[j>>2]=0;c[j+4>>2]=f;c[j+8>>2]=o;c[j+12>>2]=i;c[j+16>>2]=k;sr(b,61325,j);k=10}break}default:ma(123205,60722,163,60753)}while(0);if((k|0)==10)c[e>>2]=f;c[m>>2]=6;l=n;return}function Gc(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0.0,j=0,k=0,m=0.0,n=0.0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0;e=l;l=l+112|0;f=e+8|0;u=e+104|0;t=e;k=c[a+16>>2]|0;s=~~+h[k+152>>3];r=c[k+16>>2]|0;q=c[k+56>>2]|0;p=c[41896]|0;Lc(k,u,t);n=+h[b>>3];k=~~(n+(n>=0.0?.5:-.5));m=+h[b+8>>3];j=~~(m+(m>=0.0?.5:-.5));i=+h[b+16>>3];n=i-n;g=+h[b+24>>3];m=g-m;b=c[u>>2]|0;o=+h[t>>3];c[f>>2]=1;c[f+4>>2]=1;c[f+8>>2]=b;c[f+12>>2]=s;c[f+16>>2]=r;c[f+20>>2]=q;c[f+24>>2]=p;c[f+28>>2]=0;c[f+32>>2]=d|0?20:-1;h[f+40>>3]=o;c[f+48>>2]=0;h[f+56>>3]=0.0;c[f+64>>2]=k;c[f+68>>2]=j;c[f+72>>2]=~~(n+(n>=0.0?.5:-.5));c[f+76>>2]=~~(m+(m>=0.0?.5:-.5));c[f+80>>2]=k;c[f+84>>2]=j;c[f+88>>2]=~~(i+(i>=0.0?.5:-.5));c[f+92>>2]=~~(g+(g>=0.0?.5:-.5));sr(a,61260,f);l=e;return}function Hc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;f=l;l=l+96|0;g=f+8|0;o=f+80|0;p=f;q=c[a+16>>2]|0;n=~~+h[q+152>>3];m=c[q+16>>2]|0;k=c[q+56>>2]|0;j=c[41896]|0;Lc(q,o,p);o=c[o>>2]|0;i=+h[p>>3];c[g>>2]=2;c[g+4>>2]=3;c[g+8>>2]=o;c[g+12>>2]=n;c[g+16>>2]=m;c[g+20>>2]=k;c[g+24>>2]=j;c[g+28>>2]=0;c[g+32>>2]=e|0?20:-1;h[g+40>>3]=i;c[g+48>>2]=0;c[g+52>>2]=0;c[g+56>>2]=0;c[g+60>>2]=0;c[g+64>>2]=0;c[g+68>>2]=d+1;sr(a,61164,g);Mc(a,b,d,1);l=f;return}function Ic(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0.0,E=0.0,F=0;C=l;l=l+192|0;B=C+176|0;z=C+168|0;A=C+104|0;y=C+96|0;i=C+88|0;u=C+180|0;v=C+80|0;w=C+16|0;x=C;f=a+16|0;e=c[f>>2]|0;q=~~+h[e+152>>3];r=c[e+16>>2]|0;s=c[41896]|0;if((d|0)<=3)ma(60715,60722,360,60742);t=ZI((d*140|0)+140|0)|0;Lc(e,u,v);if(!g){o=4;j=0;k=-1}else{o=5;j=c[(c[f>>2]|0)+56>>2]|0;k=20}E=+h[b>>3];n=w+48|0;h[n>>3]=E;D=+h[b+8>>3];h[w+56>>3]=D;c[i>>2]=~~(E+(E>=0.0?.5:-.5));c[i+4>>2]=~~(D+(D>=0.0?.5:-.5));m=x+8|0;e=t+(pL(t,73932,i)|0)|0;p=1;g=0;while(1){i=g+3|0;if((i|0)>=(d|0))break;c[w>>2]=c[n>>2];c[w+4>>2]=c[n+4>>2];c[w+8>>2]=c[n+8>>2];c[w+12>>2]=c[n+12>>2];f=1;while(1){if((f|0)==4){f=1;break}F=f+g|0;h[w+(f<<4)>>3]=+h[b+(F<<4)>>3];h[w+(f<<4)+8>>3]=+h[b+(F<<4)+8>>3];f=f+1|0}while(1){if((f|0)==7)break;PA(x,w,3,+(f|0)*.16666666666666666,0,0);D=+h[x>>3];E=+h[m>>3];c[y>>2]=~~(D+(D>=0.0?.5:-.5));c[y+4>>2]=~~(E+(E>=0.0?.5:-.5));f=f+1|0;e=e+(pL(e,73932,y)|0)|0}p=p+6|0;g=i}f=c[u>>2]|0;E=+h[v>>3];c[A>>2]=3;c[A+4>>2]=o;c[A+8>>2]=f;c[A+12>>2]=q;c[A+16>>2]=r;c[A+20>>2]=j;c[A+24>>2]=s;c[A+28>>2]=0;c[A+32>>2]=k;h[A+40>>3]=E;c[A+48>>2]=0;c[A+52>>2]=0;c[A+56>>2]=0;c[A+60>>2]=p;sr(a,61215,A);c[z>>2]=t;sr(a,73939,z);_I(t);f=p+-1|0;e=0;while(1){if((e|0)>=(p|0))break;c[B>>2]=((e|0)%(f|0)|0|0)!=0&1;sr(a,73944,B);e=e+1|0}mr(a,134901)|0;l=C;return}function Jc(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0,j=0,k=0,m=0,n=0,o=0;e=l;l=l+96|0;f=e+8|0;m=e+80|0;n=e;o=c[a+16>>2]|0;k=~~+h[o+152>>3];j=c[o+16>>2]|0;i=c[41896]|0;Lc(o,m,n);m=c[m>>2]|0;g=+h[n>>3];c[f>>2]=2;c[f+4>>2]=1;c[f+8>>2]=m;c[f+12>>2]=k;c[f+16>>2]=j;c[f+20>>2]=0;c[f+24>>2]=i;c[f+28>>2]=0;c[f+32>>2]=0;h[f+40>>3]=g;c[f+48>>2]=0;c[f+52>>2]=0;c[f+56>>2]=0;c[f+60>>2]=0;c[f+64>>2]=0;c[f+68>>2]=d;sr(a,61164,f);Mc(a,b,d,0);l=e;return}function Kc(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=b;sr(a,61158,e);l=d;return}function Lc(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0;switch(c[a+144>>2]|0){case 1:{e=10.0;a=1;break}case 2:{e=10.0;a=2;break}default:{e=0.0;a=0}}c[b>>2]=a;h[d>>3]=e;return}function Mc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0.0,m=0.0;j=l;l=l+16|0;i=j+8|0;g=j;f=0;while(1){if((f|0)>=(d|0))break;m=+h[b+(f<<4)>>3];k=+h[b+(f<<4)+8>>3];c[g>>2]=~~(m+(m>=0.0?.5:-.5));c[g+4>>2]=~~(k+(k>=0.0?.5:-.5));sr(a,73932,g);f=f+1|0}if(e|0){k=+h[b>>3];m=+h[b+8>>3];c[i>>2]=~~(k+(k>=0.0?.5:-.5));c[i+4>>2]=~~(m+(m>=0.0?.5:-.5));sr(a,73932,i)}mr(a,134901)|0;l=j;return}function Nc(a,d,e,f){a=a|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0;c[a>>2]=0;k=c[41897]|0;h=195075;g=0;i=-1;while(1){if((g|0)>=(k|0)){l=6;break}m=(b[170804+(g<<1)>>1]|0)-d|0;n=(b[171316+(g<<1)>>1]|0)-e|0;j=(b[171828+(g<<1)>>1]|0)-f|0;j=(O(n,n)|0)+(O(m,m)|0)+(O(j,j)|0)|0;if((j|0)<(h|0))if(!j)break;else{h=j;i=g}g=g+1|0}if((l|0)==6){c[41897]=k+1;if((k|0)==256)g=i;else{b[170804+(g<<1)>>1]=d;b[171316+(g<<1)>>1]=e;b[171828+(g<<1)>>1]=f;c[a>>2]=1}}return g|0}function Oc(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;h=i;d=c[41898]|0;if(!d){c[41899]=64;d=ZI(64)|0;c[41898]=d;e=0}else e=0;while(1){g=b+1|0;f=a[b>>0]|0;if(!(f<<24>>24))break;b=c[41899]|0;if((e|0)>(b+-8|0)){d=b<<1;c[41899]=d;d=aJ(c[41898]|0,d)|0;c[41898]=d;d=d+e|0}if(f<<24>>24<=-1){a[d>>0]=92;c[h>>2]=f&255;pL(d+1|0,74057,h)|0;b=g;d=d+4|0;e=e+4|0;continue}if(f<<24>>24==92){a[d>>0]=92;e=e+1|0;d=d+1|0}a[d>>0]=f;b=g;d=d+1|0;e=e+1|0}a[d>>0]=0;l=i;return c[41898]|0}function Pc(b){b=b|0;var d=0,e=0,f=0;e=c[b+16>>2]|0;switch(c[b+64>>2]|0){case 0:{mr(b,61053)|0;d=e+208|0;e=c[d>>2]|0;if(e|0?a[e>>0]|0:0){mr(b,61067)|0;mr(b,rw(c[d>>2]|0)|0)|0;mr(b,134901)|0}break}case 1:{d=e+208|0;f=c[d>>2]|0;if(f|0?a[f>>0]|0:0){mr(b,61067)|0;mr(b,rw(c[d>>2]|0)|0)|0;mr(b,87638)|0;mr(b,rw(Dn(c[e+8>>2]|0)|0)|0)|0;mr(b,134901)|0}break}case 3:{f=rw(Dn(c[e+8>>2]|0)|0)|0;mr(b,61076)|0;mr(b,f)|0;mr(b,61086)|0;mr(b,f)|0;mr(b,61041)|0;break}default:{}}return}function Qc(a){a=a|0;var b=0;b=c[a+16>>2]|0;switch(c[a+64>>2]|0){case 2:{Sc(a,c[b+264>>2]|0,c[b+272>>2]|0,c[b+268>>2]|0,c[b+208>>2]|0,c[b+228>>2]|0,c[b+244>>2]|0,c[b+212>>2]|0);break}case 3:{Sc(a,c[b+264>>2]|0,c[b+272>>2]|0,c[b+268>>2]|0,c[b+208>>2]|0,c[b+228>>2]|0,c[b+244>>2]|0,c[b+212>>2]|0);mr(a,61045)|0;break}default:{}}return}function Rc(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0;g=c[a+16>>2]|0;Sc(a,c[g+264>>2]|0,c[g+272>>2]|0,c[g+268>>2]|0,b,d,e,f);return}function Sc(b,d,e,f,g,i,j,k){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;j=j|0;k=k|0;var m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0.0;y=l;l=l+128|0;x=y+120|0;u=y+112|0;t=y+96|0;s=y+80|0;r=y+56|0;w=y+48|0;q=y+40|0;v=y+24|0;p=y;a:do if((e|0)!=0&(f|0)!=0){m=f+10|0;if((c[41900]|0)<(f|0)){c[41900]=m;o=aJ(c[41901]|0,m<<3)|0;c[41901]=o}else o=c[41901]|0;m=0;while(1){if((m|0)>=(f|0))break;z=+h[e+(m<<4)>>3];c[o+(m<<3)>>2]=~~(z+(z>=0.0?.5:-.5));z=+h[e+(m<<4)+8>>3];c[o+(m<<3)+4>>2]=~~(z+(z>=0.0?.5:-.5));m=m+1|0}n=b+64|0;m=c[n>>2]|0;e=(g|0)!=0;if(e&(m|0)==0){if(!(a[g>>0]|0))break;switch(d|0){case 0:{v=c[o>>2]|0;w=c[o+12>>2]|0;x=c[o+8>>2]|0;f=c[o+4>>2]|0;c[p>>2]=g;c[p+4>>2]=v;c[p+8>>2]=w;c[p+12>>2]=x;c[p+16>>2]=f;sr(b,60787,p);break a}case 1:{w=c[o>>2]|0;x=c[o+4>>2]|0;f=(c[o+8>>2]|0)-w|0;c[v>>2]=g;c[v+4>>2]=w;c[v+8>>2]=x;c[v+12>>2]=f;sr(b,60808,v);break a}case 2:{c[q>>2]=g;sr(b,60828,q);m=0;while(1){if((m|0)>=(f|0))break;v=c[41901]|0;x=c[v+(m<<3)+4>>2]|0;c[w>>2]=c[v+(m<<3)>>2];c[w+4>>2]=x;sr(b,60836,w);m=m+1|0}mr(b,134901)|0;break a}default:ma(123205,60843,63,60863)}}if(e&(m|0)==1){if(!(a[g>>0]|0))break;if(!d){w=c[o+12>>2]|0;x=c[o+8>>2]|0;f=c[o+4>>2]|0;c[r>>2]=c[o>>2];c[r+4>>2]=w;c[r+8>>2]=x;c[r+12>>2]=f;c[r+16>>2]=g;c[r+20>>2]=i;sr(b,60880,r);break}else ma(123205,60843,75,60863)}if((m&-2|0)==2){switch(d|0){case 1:{mr(b,60913)|0;break}case 0:{mr(b,60934)|0;break}case 2:{mr(b,60953)|0;break}default:ma(123205,60843,91,60863)}if(k|0?a[k>>0]|0:0){mr(b,66433)|0;mr(b,uw(k)|0)|0;mr(b,83714)|0}if(e?a[g>>0]|0:0){mr(b,60972)|0;mr(b,uw(g)|0)|0;mr(b,83714)|0}if(j|0?a[j>>0]|0:0){mr(b,67392)|0;mr(b,rw(j)|0)|0;mr(b,83714)|0}if(i|0?a[i>>0]|0:0){mr(b,60980)|0;mr(b,rw(i)|0)|0;mr(b,83714)|0}mr(b,60989)|0;mr(b,60997)|0;b:do switch(d|0){case 1:{f=c[41901]|0;w=c[f>>2]|0;x=c[f+4>>2]|0;f=(c[f+8>>2]|0)-w|0;c[s>>2]=w;c[s+4>>2]=x;c[s+8>>2]=f;sr(b,61007,s);break}case 0:{v=c[41901]|0;w=c[v+12>>2]|0;x=c[v+8>>2]|0;f=c[v+4>>2]|0;c[t>>2]=c[v>>2];c[t+4>>2]=w;c[t+8>>2]=x;c[t+12>>2]=f;sr(b,61016,t);break}case 2:{w=c[41901]|0;m=c[w+4>>2]|0;c[u>>2]=c[w>>2];c[u+4>>2]=m;sr(b,61028,u);m=1;while(1){if((m|0)>=(f|0))break b;v=c[41901]|0;w=c[v+(m<<3)+4>>2]|0;c[x>>2]=c[v+(m<<3)>>2];c[x+4>>2]=w;sr(b,61034,x);m=m+1|0}}default:{}}while(0);if((c[n>>2]|0)==3){mr(b,66257)|0;break}else{mr(b,61041)|0;break}}}while(0);l=y;return}function Tc(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0;b=l;l=l+32|0;d=b+24|0;e=b+16|0;g=b;f=c[a+16>>2]|0;mr(a,61456)|0;j=c[c[a+12>>2]>>2]|0;i=c[j+4>>2]|0;h=c[j+8>>2]|0;c[g>>2]=c[j>>2];c[g+4>>2]=i;c[g+8>>2]=h;sr(a,61466,g);c[e>>2]=Dn(c[f+8>>2]|0)|0;sr(a,61501,e);c[d>>2]=O(c[a+168>>2]|0,c[a+164>>2]|0)|0;sr(a,61514,d);mr(a,61527)|0;mr(a,61537)|0;mr(a,61545)|0;mr(a,61553)|0;mr(a,61561)|0;mr(a,61569)|0;mr(a,61577)|0;mr(a,61581)|0;mr(a,61586)|0;l=b;return}function Uc(a){a=a|0;mr(a,61437)|0;return}function Vc(a){a=a|0;c[41902]=2;return}function Wc(a){a=a|0;c[41902]=1;return}function Xc(a){a=a|0;c[41902]=2;return}function Yc(a){a=a|0;c[41902]=0;return}function Zc(a){a=a|0;c[41902]=2;return}function _c(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0,k=0,m=0,n=0,o=0.0,p=0.0,q=0;n=l;l=l+80|0;m=n;j=c[(c[b+16>>2]|0)+16>>2]|0;k=c[41902]|0;f=c[e+4>>2]|0;g=+h[b+352>>3]*+h[f+16>>3];i=c[b+360>>2]|0?1.5707963267948966:0.0;f=c[f+8>>2]|0;if(!f)f=-1;else f=c[f+20>>2]|0;q=a[e+48>>0]|0;p=+h[d>>3];o=+h[d+8>>3];e=id(c[e>>2]|0)|0;c[m>>2]=4;c[m+4>>2]=q<<24>>24==108?0:q<<24>>24==114?2:1;c[m+8>>2]=j;c[m+12>>2]=k;c[m+16>>2]=0;c[m+20>>2]=f;h[m+24>>3]=g;h[m+32>>3]=i;c[m+40>>2]=4;h[m+48>>3]=0.0;h[m+56>>3]=0.0;c[m+64>>2]=~~(p+(p>=0.0?.5:-.5));c[m+68>>2]=~~(o+(o>=0.0?.5:-.5));c[m+72>>2]=e;sr(b,61382,m);l=n;return}function $c(b,e){b=b|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;n=l;l=l+32|0;j=n;i=n+20|0;m=e+32|0;a:do switch(c[m>>2]|0){case 5:{f=0;while(1){g=c[12652+(f<<2)>>2]|0;if((f|0)==8)break a;h=c[e>>2]|0;if((a[g>>0]|0)==(a[h>>0]|0)?(xJ(g,h)|0)==0:0){k=10;break a}f=f+1|0}}case 1:{g=e+1|0;h=e+2|0;f=(hd(i,d[e>>0]|0,d[g>>0]|0,d[h>>0]|0)|0)+32|0;if(!(c[i>>2]|0))k=10;else{o=d[e>>0]|0;i=d[g>>0]|0;k=d[h>>0]|0;c[j>>2]=0;c[j+4>>2]=f;c[j+8>>2]=o;c[j+12>>2]=i;c[j+16>>2]=k;sr(b,61325,j);k=10}break}case 0:{f=0;k=10;break}default:ma(123205,61346,168,61365)}while(0);if((k|0)==10)c[e>>2]=f;c[m>>2]=6;l=n;return}function ad(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0.0,j=0,k=0,m=0.0,n=0.0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0;e=l;l=l+112|0;f=e+8|0;u=e+104|0;t=e;k=c[a+16>>2]|0;s=~~+h[k+152>>3];r=c[k+16>>2]|0;q=c[k+56>>2]|0;p=c[41902]|0;fd(k,u,t);n=+h[b>>3];k=~~(n+(n>=0.0?.5:-.5));m=+h[b+8>>3];j=~~(m+(m>=0.0?.5:-.5));i=+h[b+16>>3];n=i-n;g=+h[b+24>>3];m=g-m;b=c[u>>2]|0;o=+h[t>>3];c[f>>2]=1;c[f+4>>2]=1;c[f+8>>2]=b;c[f+12>>2]=s;c[f+16>>2]=r;c[f+20>>2]=q;c[f+24>>2]=p;c[f+28>>2]=0;c[f+32>>2]=d|0?20:-1;h[f+40>>3]=o;c[f+48>>2]=0;h[f+56>>3]=0.0;c[f+64>>2]=k;c[f+68>>2]=j;c[f+72>>2]=~~(n+(n>=0.0?.5:-.5));c[f+76>>2]=~~(m+(m>=0.0?.5:-.5));c[f+80>>2]=k;c[f+84>>2]=j;c[f+88>>2]=~~(i+(i>=0.0?.5:-.5));c[f+92>>2]=~~(g+(g>=0.0?.5:-.5));sr(a,61260,f);l=e;return}function bd(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;f=l;l=l+96|0;g=f+8|0;o=f+80|0;p=f;q=c[a+16>>2]|0;n=~~+h[q+152>>3];m=c[q+16>>2]|0;k=c[q+56>>2]|0;j=c[41902]|0;fd(q,o,p);o=c[o>>2]|0;i=+h[p>>3];c[g>>2]=2;c[g+4>>2]=3;c[g+8>>2]=o;c[g+12>>2]=n;c[g+16>>2]=m;c[g+20>>2]=k;c[g+24>>2]=j;c[g+28>>2]=0;c[g+32>>2]=e|0?20:-1;h[g+40>>3]=i;c[g+48>>2]=0;c[g+52>>2]=0;c[g+56>>2]=0;c[g+60>>2]=0;c[g+64>>2]=0;c[g+68>>2]=d+1;sr(a,61164,g);gd(a,b,d,1);l=f;return}function cd(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0.0,E=0.0,F=0;C=l;l=l+192|0;B=C+176|0;z=C+168|0;A=C+104|0;y=C+96|0;f=C+88|0;u=C+180|0;v=C+80|0;w=C+16|0;x=C;e=a+16|0;p=c[e>>2]|0;q=~~+h[p+152>>3];r=c[p+16>>2]|0;s=c[41902]|0;t=ZI((d*140|0)+140|0)|0;fd(p,u,v);if(!g){o=4;j=0;k=-1}else{o=5;j=c[(c[e>>2]|0)+56>>2]|0;k=20}E=+h[b>>3];n=w+48|0;h[n>>3]=E;D=+h[b+8>>3];h[w+56>>3]=D;c[f>>2]=~~(E+(E>=0.0?.5:-.5));c[f+4>>2]=~~(D+(D>=0.0?.5:-.5));m=x+8|0;e=t+(pL(t,73932,f)|0)|0;p=1;g=0;while(1){i=g+3|0;if((i|0)>=(d|0))break;c[w>>2]=c[n>>2];c[w+4>>2]=c[n+4>>2];c[w+8>>2]=c[n+8>>2];c[w+12>>2]=c[n+12>>2];f=1;while(1){if((f|0)==4){f=1;break}F=f+g|0;h[w+(f<<4)>>3]=+h[b+(F<<4)>>3];h[w+(f<<4)+8>>3]=+h[b+(F<<4)+8>>3];f=f+1|0}while(1){if((f|0)==7)break;PA(x,w,3,+(f|0)*.16666666666666666,0,0);D=+h[x>>3];E=+h[m>>3];c[y>>2]=~~(D+(D>=0.0?.5:-.5));c[y+4>>2]=~~(E+(E>=0.0?.5:-.5));f=f+1|0;e=e+(pL(e,73932,y)|0)|0}p=p+6|0;g=i}f=c[u>>2]|0;E=+h[v>>3];c[A>>2]=3;c[A+4>>2]=o;c[A+8>>2]=f;c[A+12>>2]=q;c[A+16>>2]=r;c[A+20>>2]=j;c[A+24>>2]=s;c[A+28>>2]=0;c[A+32>>2]=k;h[A+40>>3]=E;c[A+48>>2]=0;c[A+52>>2]=0;c[A+56>>2]=0;c[A+60>>2]=p;sr(a,61215,A);c[z>>2]=t;sr(a,73939,z);_I(t);f=p+-1|0;e=0;while(1){if((e|0)>=(p|0))break;c[B>>2]=((e|0)%(f|0)|0|0)!=0&1;sr(a,73944,B);e=e+1|0}mr(a,134901)|0;l=C;return}function dd(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0,j=0,k=0,m=0,n=0,o=0;e=l;l=l+96|0;f=e+8|0;m=e+80|0;n=e;o=c[a+16>>2]|0;k=~~+h[o+152>>3];j=c[o+16>>2]|0;i=c[41902]|0;fd(o,m,n);m=c[m>>2]|0;g=+h[n>>3];c[f>>2]=2;c[f+4>>2]=1;c[f+8>>2]=m;c[f+12>>2]=k;c[f+16>>2]=j;c[f+20>>2]=0;c[f+24>>2]=i;c[f+28>>2]=0;c[f+32>>2]=0;h[f+40>>3]=g;c[f+48>>2]=0;c[f+52>>2]=0;c[f+56>>2]=0;c[f+60>>2]=0;c[f+64>>2]=0;c[f+68>>2]=d;sr(a,61164,f);gd(a,b,d,0);l=e;return}function ed(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=b;sr(a,61158,e);l=d;return}function fd(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0;switch(c[a+144>>2]|0){case 1:{e=10.0;a=1;break}case 2:{e=10.0;a=2;break}default:{e=0.0;a=0}}c[b>>2]=a;h[d>>3]=e;return}function gd(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0.0,m=0.0;j=l;l=l+16|0;i=j+8|0;g=j;f=0;while(1){if((f|0)>=(d|0))break;m=+h[b+(f<<4)>>3];k=+h[b+(f<<4)+8>>3];c[g>>2]=~~(m+(m>=0.0?.5:-.5));c[g+4>>2]=~~(k+(k>=0.0?.5:-.5));sr(a,73932,g);f=f+1|0}if(e|0){k=+h[b>>3];m=+h[b+8>>3];c[i>>2]=~~(k+(k>=0.0?.5:-.5));c[i+4>>2]=~~(m+(m>=0.0?.5:-.5));sr(a,73932,i)}mr(a,134901)|0;l=j;return}function hd(a,d,e,f){a=a|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0;c[a>>2]=0;k=c[41903]|0;h=195075;g=0;i=-1;while(1){if((g|0)>=(k|0)){l=6;break}m=(b[172340+(g<<1)>>1]|0)-d|0;n=(b[172852+(g<<1)>>1]|0)-e|0;j=(b[173364+(g<<1)>>1]|0)-f|0;j=(O(n,n)|0)+(O(m,m)|0)+(O(j,j)|0)|0;if((j|0)<(h|0))if(!j)break;else{h=j;i=g}g=g+1|0}if((l|0)==6){c[41903]=k+1;if((k|0)==256)g=i;else{b[172340+(g<<1)>>1]=d;b[172852+(g<<1)>>1]=e;b[173364+(g<<1)>>1]=f;c[a>>2]=1}}return g|0}function id(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;h=i;d=c[41904]|0;if(!d){c[41905]=64;d=ZI(64)|0;c[41904]=d;e=0}else e=0;while(1){g=b+1|0;f=a[b>>0]|0;if(!(f<<24>>24))break;b=c[41905]|0;if((e|0)>(b+-8|0)){d=b<<1;c[41905]=d;d=aJ(c[41904]|0,d)|0;c[41904]=d;d=d+e|0}if(f<<24>>24<=-1){a[d>>0]=92;c[h>>2]=f&255;pL(d+1|0,74057,h)|0;b=g;d=d+4|0;e=e+4|0;continue}if(f<<24>>24==92){a[d>>0]=92;e=e+1|0;d=d+1|0}a[d>>0]=f;b=g;d=d+1|0;e=e+1|0}a[d>>0]=0;l=i;return c[41904]|0}function jd(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;d=l;l=l+16|0;b=d;mr(a,66165)|0;if((c[a+64>>2]|0)==2)mr(a,66180)|0;else mr(a,134901)|0;g=c[c[a+12>>2]>>2]|0;f=c[g+4>>2]|0;e=c[g+8>>2]|0;c[b>>2]=c[g>>2];c[b+4>>2]=f;c[b+8>>2]=e;sr(a,66191,b);l=d;return}function kd(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;g=l;l=l+32|0;f=g+8|0;e=g;mr(a,66119)|0;d=a+64|0;b=a+12|0;if((c[d>>2]|0)!=2){c[e>>2]=c[(c[b>>2]|0)+28>>2];sr(a,66130,e)}if((c[(c[b>>2]|0)+20>>2]|0)==0?(c[d>>2]|0)!=2:0){b=c[a+476>>2]|0;d=c[a+480>>2]|0;e=c[a+484>>2]|0;c[f>>2]=c[a+472>>2];c[f+4>>2]=b;c[f+8>>2]=d;c[f+12>>2]=e;sr(a,62499,f)}mr(a,66145)|0;mr(a,66158)|0;l=g;return}function ld(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;k=l;l=l+32|0;j=k+24|0;f=k+8|0;i=k;g=c[b+16>>2]|0;a[173892]=0;e=b+12|0;h=g+8|0;if(!(c[(c[e>>2]|0)+28>>2]|0)){c[i>>2]=Dn(c[h>>2]|0)|0;sr(b,62430,i);d=b+64|0;if((c[d>>2]|0)==2)mr(b,62463)|0;else mr(b,62445)|0;do if(!(c[(c[e>>2]|0)+20>>2]|0))if((c[d>>2]|0)==2){n=c[b+460>>2]|0;m=c[b+464>>2]|0;d=c[b+468>>2]|0;c[f>>2]=c[b+456>>2];c[f+4>>2]=n;c[f+8>>2]=m;c[f+12>>2]=d;sr(b,62499,f);break}else{mr(b,62475)|0;break}while(0);mr(b,62529)|0;ey(b,c[(c[e>>2]|0)+24>>2]|0,12928);gy(b);d=c[(c[e>>2]|0)+20>>2]|0;if(d|0){c[i>>2]=c[d>>2];c[i+4>>2]=0;ey(b,0,i)}}c[41906]=(a[(c[(c[h>>2]|0)+16>>2]|0)+115>>0]|0)==1?1:-1;if(!(a[173892]|0)){mr(b,62549)|0;a[173892]=1}d=c[g+208>>2]|0;if(d|0){c[j>>2]=hy(d,c[41906]|0)|0;sr(b,62562,j)}l=k;return}function md(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;b=l;l=l+16|0;f=b;c[f>>2]=d;c[f+4>>2]=e;sr(a,62414,f);l=b;return}function nd(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0.0,v=0.0,w=0.0;s=l;l=l+144|0;r=s+128|0;q=s+112|0;p=s+72|0;o=s+56|0;n=s+40|0;m=s+32|0;e=s+24|0;b=s+8|0;d=s;f=c[a+456>>2]|0;j=c[a+460>>2]|0;g=c[a+464>>2]|0;i=c[a+468>>2]|0;k=a+12|0;t=(c[(c[k>>2]|0)+28>>2]|0)+1|0;c[d>>2]=t;c[d+4>>2]=t;sr(a,62041,d);if(!(c[(c[k>>2]|0)+20>>2]|0)){c[b>>2]=f;c[b+4>>2]=j;c[b+8>>2]=g;c[b+12>>2]=i;sr(a,62058,b)}d=a+360|0;c[e>>2]=c[d>>2]|0?62092:62102;sr(a,62111,e);b=a+64|0;if((c[b>>2]|0)==1){c[m>>2]=g;c[m+4>>2]=i;sr(a,62136,m)}m=c[a+200>>2]|0;t=c[a+204>>2]|0;c[n>>2]=c[a+196>>2];c[n+4>>2]=m;c[n+8>>2]=t;sr(a,62175,n);if(!(c[(c[k>>2]|0)+20>>2]|0)){c[o>>2]=f;c[o+4>>2]=j;c[o+8>>2]=g-f;c[o+12>>2]=i-j;sr(a,62195,o)}w=+h[a+496>>3];t=c[d>>2]|0;v=+h[a+504>>3];u=+h[a+512>>3];h[p>>3]=+h[a+488>>3];h[p+8>>3]=w;c[p+16>>2]=t;h[p+24>>3]=v;h[p+32>>3]=u;sr(a,62235,p);if((c[b>>2]|0)==1){if((g|0)>14399|(i|0)>14399){t=c[(c[k>>2]|0)+16>>2]|0;c[q>>2]=g;c[q+4>>2]=i;c[q+8>>2]=14400;hb[t&31](62278,q)}c[r>>2]=f;c[r+4>>2]=j;c[r+8>>2]=g;c[r+12>>2]=i;sr(a,62373,r)}l=s;return}function od(a){a=a|0;var b=0,d=0,e=0;e=l;l=l+16|0;d=e;b=a+12|0;if(c[(c[b>>2]|0)+20>>2]|0){mr(a,61965)|0;ey(a,0,(c[(c[b>>2]|0)+20>>2]|0)+4|0)}mr(a,61982)|0;mr(a,62009)|0;c[d>>2]=c[(c[b>>2]|0)+28>>2];sr(a,62024,d);l=e;return}function pd(a){a=a|0;var b=0,d=0;b=l;l=l+16|0;d=b;c[d>>2]=Dn(c[(c[a+16>>2]|0)+8>>2]|0)|0;sr(a,61958,d);mr(a,61951)|0;l=b;return}function qd(a){a=a|0;mr(a,77394)|0;return}function rd(a){a=a|0;mr(a,61951)|0;return}function sd(a){a=a|0;mr(a,77394)|0;return}function td(a){a=a|0;mr(a,61951)|0;return}function ud(a){a=a|0;mr(a,77394)|0;return}function vd(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0;e=l;l=l+16|0;d=e;if(b|0?(g=(c[a+16>>2]|0)+272|0,c[g>>2]|0):0){mr(a,61847)|0;wr(a,c[g>>2]|0,2);mr(a,61858)|0;c[d>>2]=hy(b,c[41906]|0)|0;sr(a,61862,d)}l=e;return}function wd(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0,j=0,k=0,m=0,n=0;m=l;l=l+32|0;j=m+8|0;k=m;f=c[b+16>>2]|0;if(!(+h[f+40>>3]<.5)){Dd(b,f+16|0);i=e+4|0;tr(b,+h[(c[i>>2]|0)+16>>3]);c[j>>2]=c[c[i>>2]>>2];sr(b,61806,j);i=hy(c[e>>2]|0,c[41906]|0)|0;switch(a[e+48>>0]|0){case 114:{n=e+32|0;f=n;g=+h[n>>3];break}case 108:{f=e+32|0;g=0.0;break}default:{n=e+32|0;f=n;g=+h[n>>3]*.5}}h[d>>3]=+h[d>>3]-g;n=d+8|0;h[n>>3]=+h[n>>3]+ +h[e+24>>3];c[j>>2]=c[d>>2];c[j+4>>2]=c[d+4>>2];c[j+8>>2]=c[d+8>>2];c[j+12>>2]=c[d+12>>2];vr(b,j);mr(b,61821)|0;tr(b,+h[f>>3]);c[k>>2]=i;sr(b,61830,k)}l=m;return}function xd(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;g=l;l=l+32|0;f=g;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];h[f+16>>3]=+h[b+16>>3]-+h[b>>3];h[f+24>>3]=+h[b+24>>3]-+h[b+8>>3];b=a+16|0;if(d|0?(e=c[b>>2]|0,+h[e+80>>3]>.5):0){Dd(a,e+56|0);wr(a,f,2);mr(a,61764)|0}if(+h[(c[b>>2]|0)+40>>3]>.5){Ed(a);Dd(a,(c[b>>2]|0)+16|0);wr(a,f,2);mr(a,61784)|0}l=g;return}function yd(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0;j=l;l=l+16|0;i=j;g=a+16|0;if(e|0?(f=c[g>>2]|0,+h[f+80>>3]>.5):0){Dd(a,f+56|0);mr(a,61685)|0;c[i>>2]=c[b>>2];c[i+4>>2]=c[b+4>>2];c[i+8>>2]=c[b+8>>2];c[i+12>>2]=c[b+12>>2];vr(a,i);mr(a,61694)|0;e=1;while(1){if((e|0)>=(d|0))break;f=b+(e<<4)|0;c[i>>2]=c[f>>2];c[i+4>>2]=c[f+4>>2];c[i+8>>2]=c[f+8>>2];c[i+12>>2]=c[f+12>>2];vr(a,i);mr(a,61703)|0;e=e+1|0}mr(a,61730)|0}if(+h[(c[g>>2]|0)+40>>3]>.5){Ed(a);Dd(a,(c[g>>2]|0)+16|0);mr(a,61685)|0;c[i>>2]=c[b>>2];c[i+4>>2]=c[b+4>>2];c[i+8>>2]=c[b+8>>2];c[i+12>>2]=c[b+12>>2];vr(a,i);mr(a,61694)|0;e=1;while(1){if((e|0)>=(d|0))break;g=b+(e<<4)|0;c[i>>2]=c[g>>2];c[i+4>>2]=c[g+4>>2];c[i+8>>2]=c[g+8>>2];c[i+12>>2]=c[g+12>>2];vr(a,i);mr(a,61703)|0;e=e+1|0}mr(a,61746)|0}l=j;return}function zd(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0;k=l;l=l+16|0;f=k;i=a+16|0;if(g|0?(j=c[i>>2]|0,+h[j+80>>3]>.5):0){Dd(a,j+56|0);mr(a,61685)|0;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];vr(a,f);mr(a,61694)|0;e=1;while(1){if((e|0)>=(d|0))break;wr(a,b+(e<<4)|0,3);mr(a,61720)|0;e=e+3|0}mr(a,61730)|0}if(+h[(c[i>>2]|0)+40>>3]>.5){Ed(a);Dd(a,(c[i>>2]|0)+16|0);mr(a,61685)|0;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];vr(a,f);mr(a,61694)|0;e=1;while(1){if((e|0)>=(d|0))break;wr(a,b+(e<<4)|0,3);mr(a,61720)|0;e=e+3|0}mr(a,61712)|0}l=k;return}function Ad(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0;g=l;l=l+16|0;f=g;e=a+16|0;if(+h[(c[e>>2]|0)+40>>3]>.5){Ed(a);Dd(a,(c[e>>2]|0)+16|0);mr(a,61685)|0;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];vr(a,f);mr(a,61694)|0;e=1;while(1){if((e|0)>=(d|0))break;i=b+(e<<4)|0;c[f>>2]=c[i>>2];c[f+4>>2]=c[i+4>>2];c[f+8>>2]=c[i+8>>2];c[f+12>>2]=c[i+12>>2];vr(a,f);mr(a,61703)|0;e=e+1|0}mr(a,61712)|0}l=g;return}function Bd(a,b){a=a|0;b=b|0;mr(a,61682)|0;mr(a,b)|0;mr(a,134901)|0;return}function Cd(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+32|0;g=n+16|0;m=n+8|0;k=n;i=a+16|0;if(f|0?(j=c[i>>2]|0,+h[j+80>>3]>.5):0){Dd(a,j+56|0);mr(a,77289)|0;wr(a,d,e);mr(a,87638)|0;c[g>>2]=c[d>>2];c[g+4>>2]=c[d+4>>2];c[g+8>>2]=c[d+8>>2];c[g+12>>2]=c[d+12>>2];vr(a,g);c[k>>2]=e;c[k+4>>2]=b;sr(a,61599,k)}if(+h[(c[i>>2]|0)+40>>3]>.5){Ed(a);Dd(a,(c[i>>2]|0)+16|0);mr(a,77289)|0;wr(a,d,e);mr(a,87638)|0;c[g>>2]=c[d>>2];c[g+4>>2]=c[d+4>>2];c[g+8>>2]=c[d+8>>2];c[g+12>>2]=c[d+12>>2];vr(a,g);c[m>>2]=e;c[m+4>>2]=b;sr(a,61615,m)}l=n;return}function Dd(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0.0,i=0.0;f=l;l=l+32|0;e=f;if(b|0){switch(c[(c[a+16>>2]|0)+4>>2]|0){case 1:case 0:{d=96286;break}case 2:{d=96273;break}case 3:{d=96237;break}default:d=61651}i=+h[b+8>>3];g=+h[b+16>>3];h[e>>3]=+h[b>>3];h[e+8>>3]=i;h[e+16>>3]=g;c[e+24>>2]=d;sr(a,61658,e)}l=f;return}function Ed(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0;m=l;l=l+16|0;k=m+8|0;j=m;g=b+16|0;i=c[g>>2]|0;d=c[i+160>>2]|0;tr(b,+h[i+152>>3]);mr(b,61632)|0;while(1){if(!d)break;i=d+4|0;f=c[d>>2]|0;if(!f)break;if(!(xJ(f,95910)|0)){d=i;continue}else e=f;while(1){d=e+1|0;if(!(a[e>>0]|0))break;else e=d}a:while(1){if(!(a[d>>0]|0))break;c[j>>2]=d;sr(b,61647,j);while(1){e=d+1|0;if(!(a[d>>0]|0)){d=e;continue a}else d=e}}if(!(xJ(f,119127)|0))h[(c[g>>2]|0)+152>>3]=0.0;c[k>>2]=f;sr(b,81633,k);d=i}l=m;return}function Fd(b){b=b|0;var d=0;mr(b,67671)|0;d=Im(c[(c[b>>2]|0)+168>>2]|0,67727)|0;if(d|0?a[d>>0]|0:0){mr(b,67738)|0;mr(b,d)|0;mr(b,67762)|0}mr(b,67783)|0;mr(b,67831)|0;mr(b,67885)|0;d=b+12|0;mr(b,rw(c[c[c[d>>2]>>2]>>2]|0)|0)|0;mr(b,71014)|0;mr(b,rw(c[(c[c[d>>2]>>2]|0)+4>>2]|0)|0)|0;mr(b,71024)|0;mr(b,rw(c[(c[c[d>>2]>>2]|0)+8>>2]|0)|0)|0;mr(b,68267)|0;mr(b,68291)|0;return}function Gd(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0.0,k=0.0,m=0.0;i=l;l=l+48|0;g=i+16|0;f=i+8|0;e=i;d=c[b+16>>2]|0;mr(b,67506)|0;d=d+8|0;if(a[(Dn(c[d>>2]|0)|0)>>0]|0){mr(b,68230)|0;mr(b,rw(Dn(c[d>>2]|0)|0)|0)|0}c[e>>2]=O(c[b+168>>2]|0,c[b+164>>2]|0)|0;sr(b,67511,e);e=c[b+452>>2]|0;c[f>>2]=c[b+448>>2];c[f+4>>2]=e;sr(b,67527,f);m=+h[b+392>>3];k=+h[b+400>>3];j=+h[b+408>>3];h[g>>3]=+h[b+384>>3];h[g+8>>3]=m;h[g+16>>3]=k;h[g+24>>3]=j;sr(b,67560,g);mr(b,67591)|0;mr(b,67627)|0;mr(b,69221)|0;l=i;return}function Hd(a){a=a|0;mr(a,67498)|0;return}function Id(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;de(a,b,0,86583,c[(c[a+16>>2]|0)+8>>2]|0);mr(a,69221)|0;return}function Jd(a){a=a|0;mr(a,67346)|0;return}function Kd(b){b=b|0;var d=0,e=0,f=0,g=0;e=l;l=l+16|0;f=e;g=c[b+16>>2]|0;d=g+8|0;de(b,c[g+212>>2]|0,0,96286,c[d>>2]|0);mr(b,67450)|0;tr(b,+h[b+488>>3]);mr(b,87638)|0;tr(b,+h[b+496>>3]);c[f>>2]=0-(c[b+360>>2]|0);sr(b,67469,f);tr(b,+h[b+504>>3]);mr(b,87638)|0;tr(b,-+h[b+512>>3]);mr(b,67493)|0;if(a[(Dn(c[d>>2]|0)|0)>>0]|0){mr(b,67402)|0;mr(b,rw(Dn(c[d>>2]|0)|0)|0)|0;mr(b,67410)|0}l=e;return}function Ld(a){a=a|0;mr(a,67346)|0;return}function Md(a){a=a|0;var b=0,d=0;d=c[a+16>>2]|0;b=d+8|0;de(a,c[d+212>>2]|0,0,93039,c[b>>2]|0);mr(a,69221)|0;mr(a,67402)|0;mr(a,rw(Dn(c[b>>2]|0)|0)|0)|0;mr(a,67410)|0;return}function Nd(a){a=a|0;mr(a,67346)|0;return}function Od(a){a=a|0;var b=0,d=0,e=0;d=c[a+16>>2]|0;b=c[a+160>>2]|0;if((b|0)>1)b=c[(c[(c[a>>2]|0)+308>>2]|0)+(b<<2)>>2]|0;else b=0;e=d+8|0;de(a,c[d+212>>2]|0,b,96273,c[e>>2]|0);mr(a,69221)|0;mr(a,67402)|0;mr(a,rw(Dn(c[e>>2]|0)|0)|0)|0;mr(a,67410)|0;return}function Pd(a){a=a|0;mr(a,67346)|0;return}function Qd(a){a=a|0;var b=0,d=0;d=c[a+16>>2]|0;b=d+8|0;de(a,c[d+212>>2]|0,0,96237,c[b>>2]|0);mr(a,69221)|0;mr(a,67402)|0;b=qw(87129,c[b>>2]|0)|0;mr(a,rw(b)|0)|0;_I(b);mr(a,67410)|0;return}function Rd(a){a=a|0;mr(a,67346)|0;return}function Sd(b,c,d,e,f){b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;mr(b,67352)|0;if(f|0){mr(b,67355)|0;mr(b,rw(f)|0)|0;mr(b,83714)|0}mr(b,67245)|0;mr(b,69182)|0;if(c|0?a[c>>0]|0:0){mr(b,67363)|0;mr(b,c)|0;mr(b,83714)|0}if(d|0?a[d>>0]|0:0){mr(b,67377)|0;mr(b,sw(d,1)|0)|0;mr(b,83714)|0}if(e|0?a[e>>0]|0:0){mr(b,67392)|0;mr(b,rw(e)|0)|0;mr(b,83714)|0}mr(b,69221)|0;return}function Td(a){a=a|0;mr(a,69176)|0;mr(a,67346)|0;return}function Ud(e,f,g){e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0.0,H=0,I=0,J=0,K=0,L=0,M=0;M=l;l=l+176|0;L=M+160|0;K=M+152|0;F=M+136|0;J=M+128|0;E=M+120|0;D=M+112|0;C=M+104|0;B=M+96|0;A=M+88|0;y=M+80|0;w=M+72|0;v=M+64|0;u=M+56|0;t=M+48|0;i=M+40|0;q=M+32|0;s=M+24|0;r=M+16|0;p=M+8|0;o=M;I=c[e+16>>2]|0;mr(e,66877)|0;switch(a[g+48>>0]|0){case 108:{mr(e,66883)|0;break}case 114:{mr(e,66904)|0;break}default:mr(e,66923)|0}H=f+8|0;G=+h[H>>3]+ +h[g+24>>3];h[H>>3]=G;H=I+260|0;if(!(b[H>>1]&512)){mr(e,66945)|0;tr(e,+h[f>>3]);mr(e,66950)|0;tr(e,-G);mr(e,83714)|0}x=g+4|0;f=c[x>>2]|0;n=c[f+8>>2]|0;if(n){switch(c[(c[(c[(c[e>>2]|0)+168>>2]|0)+16>>2]|0)+244>>2]|0){case 1:{m=n;f=n+16|0;i=n+8|0;break}case 2:{m=n+24|0;f=n+32|0;i=n+28|0;break}default:{m=n+4|0;f=n+16|0;i=n+8|0}}j=c[f>>2]|0;f=c[i>>2]|0;k=c[n+12>>2]|0;c[o>>2]=c[m>>2];sr(e,66956,o);i=c[n+24>>2]|0;if(i|0){c[p>>2]=i;sr(e,66973,p)}mr(e,83714)|0;if(f|0){c[r>>2]=f;sr(e,66977,r)}if(k|0){c[s>>2]=k;sr(e,66995,s)}if(!j)j=0;else{c[q>>2]=j;sr(e,67014,q)}}else{c[i>>2]=c[f>>2];sr(e,67031,i);j=0;f=0}i=c[x>>2]|0;if(i|0?(z=c[i+24>>2]|0,z&127|0):0){if(!((f|0)!=0|(z&1|0)==0))sr(e,67049,t);if(!((j|0)!=0|(z&2|0)==0))sr(e,67069,u);if(z&100|0){sr(e,67090,v);if(!(z&4))f=0;else{sr(e,91030,w);f=1}if(z&64){c[y>>2]=f|0?86030:174181;sr(e,67109,y);f=1}if(z&32|0){c[A>>2]=f|0?86030:174181;sr(e,67120,A)}sr(e,83714,B)}if(z&8|0)sr(e,67135,C);if(z&16|0)sr(e,67159,D)}h[E>>3]=+h[(c[x>>2]|0)+16>>3];sr(e,67181,E);f=I+16|0;switch(c[I+48>>2]|0){case 5:{f=c[f>>2]|0;if(iK(f,122106)|0){c[J>>2]=f;sr(e,67199,J)}break}case 1:{E=d[f+1>>0]|0;J=d[f+2>>0]|0;c[F>>2]=d[f>>0];c[F+4>>2]=E;c[F+8>>2]=J;sr(e,67210,F);break}default:ma(123205,66391,486,67232)}mr(e,67245)|0;if(b[H>>1]&512){c[K>>2]=rw(c[I+212>>2]|0)|0;sr(e,67247,K);mr(e,67296)|0;tr(e,-G);mr(e,67314)|0}mr(e,sw(c[g>>2]|0,1)|0)|0;if(b[H>>1]&512)sr(e,67317,L);mr(e,67337)|0;l=M;return}function Vd(a,b,c){a=a|0;b=b|0;c=c|0;var d=0;switch(c|0){case 2:{d=ae(a,b,2)|0;break}case 3:{d=be(a)|0;break}default:d=0}mr(a,66841)|0;_d(a,c,d);mr(a,66850)|0;tr(a,+h[b>>3]);mr(a,66856)|0;c=b+8|0;tr(a,-+h[c>>3]);mr(a,66863)|0;tr(a,+h[b+16>>3]-+h[b>>3]);mr(a,66870)|0;tr(a,+h[b+24>>3]-+h[c>>3]);mr(a,66257)|0;return}function Wd(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0;switch(d|0){case 2:{e=ae(a,b,c)|0;break}case 3:{e=be(a)|0;break}default:e=0}mr(a,66832)|0;_d(a,d,e);mr(a,66247)|0;e=0;while(1){if((e|0)>=(c|0))break;tr(a,+h[b+(e<<4)>>3]);mr(a,86030)|0;tr(a,-+h[b+(e<<4)+8>>3]);mr(a,87638)|0;e=e+1|0}tr(a,+h[b>>3]);mr(a,86030)|0;tr(a,-+h[b+8>>3]);mr(a,66257)|0;return}function Xd(a,d,e,f,g,h){a=a|0;d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;g=c[a+16>>2]|0;switch(h|0){case 2:{f=ae(a,d,e)|0;break}case 3:{f=be(a)|0;break}default:f=0}mr(a,66427)|0;if(b[g+260>>1]&512){mr(a,66433)|0;mr(a,rw(c[g+212>>2]|0)|0)|0;mr(a,66439)|0}_d(a,h,f);mr(a,66444)|0;ce(a,d,e);mr(a,66257)|0;return}function Yd(a,b,c){a=a|0;b=b|0;c=c|0;var d=0;mr(a,66237)|0;_d(a,0,0);mr(a,66247)|0;d=0;while(1){if((d|0)>=(c|0))break;tr(a,+h[b+(d<<4)>>3]);mr(a,86030)|0;tr(a,-+h[b+(d<<4)+8>>3]);mr(a,87638)|0;d=d+1|0}mr(a,66257)|0;return}function Zd(a,b){a=a|0;b=b|0;mr(a,66231)|0;mr(a,rw(b)|0)|0;mr(a,68291)|0;return}function _d(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;q=l;l=l+96|0;k=q+48|0;p=q+40|0;n=q+32|0;o=q+24|0;j=q+16|0;g=q+8|0;f=q;m=c[b+16>>2]|0;mr(b,66262)|0;a:do switch(d|0){case 2:{c[f>>2]=e;sr(b,66270,f);break}case 3:{c[g>>2]=e;sr(b,66281,g);break}case 0:{mr(b,120501)|0;break}default:{d=m+56|0;f=k;g=d;i=f+40|0;do{c[f>>2]=c[g>>2];f=f+4|0;g=g+4|0}while((f|0)<(i|0));$d(b,k);if((c[m+88>>2]|0)==1){d=a[d+3>>0]|0;switch(d<<24>>24){case -1:case 0:break a;default:{}}h[j>>3]=+(d&255)*.00392156862745098;sr(b,66292,j)}}}while(0);mr(b,66311)|0;e=m+16|0;f=k;g=e;i=f+40|0;do{c[f>>2]=c[g>>2];f=f+4|0;g=g+4|0}while((f|0)<(i|0));$d(b,k);d=m+152|0;if(+h[d>>3]!=1.0){mr(b,66322)|0;tr(b,+h[d>>3])}switch(c[m+144>>2]|0){case 1:{c[o>>2]=66362;sr(b,66339,o);break}case 2:{c[n>>2]=66366;sr(b,66339,n);break}default:{}}b:do if((c[m+48>>2]|0)==1){d=a[e+3>>0]|0;switch(d<<24>>24){case -1:case 0:break b;default:{}}h[p>>3]=+(d&255)*.00392156862745098;sr(b,66370,p)}while(0);mr(b,83714)|0;l=q;return}function $d(b,e){b=b|0;e=e|0;var f=0,g=0,h=0,i=0;g=l;l=l+16|0;f=g;a:do switch(c[e+32>>2]|0){case 5:{mr(b,c[e>>2]|0)|0;break}case 1:if(!(a[e+3>>0]|0)){mr(b,122171)|0;break a}else{i=d[e+1>>0]|0;h=d[e+2>>0]|0;c[f>>2]=d[e>>0];c[f+4>>2]=i;c[f+8>>2]=h;sr(b,68547,f);break a}default:ma(123205,66391,117,66411)}while(0);l=g;return}function ae(b,d,e){b=b|0;d=d|0;e=e|0;var f=0.0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;t=l;l=l+112|0;o=t+64|0;r=t+56|0;n=t+48|0;m=t+40|0;i=t+32|0;k=t;q=c[41908]|0;c[41908]=q+1;p=c[b+16>>2]|0;f=+(c[p+136>>2]|0)*.017453292519943295;c[k>>2]=0;c[k+4>>2]=0;c[k+8>>2]=0;c[k+12>>2]=0;c[k+16>>2]=0;c[k+20>>2]=0;c[k+24>>2]=0;c[k+28>>2]=0;JB(d,k,e,f,0);c[o>>2]=q;sr(b,66664,o);mr(b,66729)|0;tr(b,+h[k>>3]);mr(b,66734)|0;tr(b,+h[k+8>>3]);mr(b,66741)|0;tr(b,+h[k+16>>3]);mr(b,66748)|0;tr(b,+h[k+24>>3]);mr(b,66755)|0;k=p+140|0;f=+g[k>>2];if(f>0.0){h[i>>3]=f+-.001;sr(b,66760,i)}else mr(b,66536)|0;d=p+56|0;e=o;i=d;j=e+40|0;do{c[e>>2]=c[i>>2];e=e+4|0;i=i+4|0}while((e|0)<(j|0));$d(b,o);mr(b,66572)|0;a:do if((c[p+88>>2]|0)==1){d=a[d+3>>0]|0;switch(d<<24>>24){case -1:case 0:{s=7;break a}default:{}}h[m>>3]=+(d&255)*.00392156862745098;sr(b,84631,m)}else s=7;while(0);if((s|0)==7)mr(b,66587)|0;mr(b,66590)|0;f=+g[k>>2];if(f>0.0){h[n>>3]=f;sr(b,66760,n)}else mr(b,66596)|0;d=p+96|0;e=o;i=d;j=e+40|0;do{c[e>>2]=c[i>>2];e=e+4|0;i=i+4|0}while((e|0)<(j|0));$d(b,o);mr(b,66572)|0;b:do if((c[p+128>>2]|0)==1){d=a[d+3>>0]|0;switch(d<<24>>24){case -1:case 0:{s=14;break b}default:{}}h[r>>3]=+(d&255)*.00392156862745098;sr(b,84631,r)}else s=14;while(0);if((s|0)==14)mr(b,66587)|0;mr(b,66800)|0;l=t;return q|0}function be(b){b=b|0;var d=0,e=0.0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0;q=l;l=l+64|0;k=q+16|0;o=q+8|0;j=q;n=c[41907]|0;c[41907]=n+1;m=c[b+16>>2]|0;r=+(c[m+136>>2]|0)*.017453292519943295;e=r;if(r==0.0){f=50;d=50}else{f=~~((+E(+e)+1.0)*50.0);d=~~((1.0-+F(+e))*50.0)}c[k>>2]=n;c[k+4>>2]=f;c[k+8>>2]=d;sr(b,66452,k);mr(b,66536)|0;d=m+56|0;f=k;g=d;i=f+40|0;do{c[f>>2]=c[g>>2];f=f+4|0;g=g+4|0}while((f|0)<(i|0));$d(b,k);mr(b,66572)|0;a:do if((c[m+88>>2]|0)==1){d=a[d+3>>0]|0;switch(d<<24>>24){case -1:case 0:{p=6;break a}default:{}}h[j>>3]=+(d&255)*.00392156862745098;sr(b,84631,j)}else p=6;while(0);if((p|0)==6)mr(b,66587)|0;mr(b,66590)|0;mr(b,66596)|0;d=m+96|0;f=k;g=d;i=f+40|0;do{c[f>>2]=c[g>>2];f=f+4|0;g=g+4|0}while((f|0)<(i|0));$d(b,k);mr(b,66572)|0;b:do if((c[m+128>>2]|0)==1){d=a[d+3>>0]|0;switch(d<<24>>24){case -1:case 0:{p=10;break b}default:{}}h[o>>3]=+(d&255)*.00392156862745098;sr(b,84631,o)}else p=10;while(0);if((p|0)==10)mr(b,66587)|0;mr(b,66632)|0;l=q;return n|0}function ce(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0;i=l;l=l+16|0;g=i;e=77;f=0;while(1){if((f|0)>=(d|0))break;c[g>>2]=e;sr(a,66449,g);tr(a,+h[b+(f<<4)>>3]);mr(a,86030)|0;tr(a,-+h[b+(f<<4)+8>>3]);e=(f|0)==0?67:32;f=f+1|0}l=i;return}function de(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0;j=l;l=l+16|0;i=j+8|0;h=j;mr(b,67420)|0;mr(b,rw(d)|0)|0;if(e|0){c[h>>2]=rw(e)|0;sr(b,67428,h)}c[i>>2]=f;sr(b,67432,i);d=Im(g,67444)|0;if(d|0?a[d>>0]|0:0){mr(b,87638)|0;mr(b,rw(d)|0)|0}mr(b,83714)|0;l=j;return}function ee(a){a=a|0;var b=0;mr(a,68251)|0;b=a+12|0;mr(a,oe(c[c[c[b>>2]>>2]>>2]|0)|0)|0;mr(a,71014)|0;mr(a,oe(c[(c[c[b>>2]>>2]|0)+4>>2]|0)|0)|0;mr(a,71024)|0;mr(a,oe(c[(c[c[b>>2]>>2]|0)+8>>2]|0)|0)|0;mr(a,68267)|0;return}function fe(b){b=b|0;var d=0,e=0,f=0;f=l;l=l+16|0;e=f;d=c[b+16>>2]|0;mr(b,68228)|0;d=d+8|0;if(a[(Dn(c[d>>2]|0)|0)>>0]|0){mr(b,68230)|0;mr(b,oe(Dn(c[d>>2]|0)|0)|0)|0}c[e>>2]=O(c[b+168>>2]|0,c[b+164>>2]|0)|0;sr(b,68239,e);c[41909]=0;l=f;return}function ge(a){a=a|0;c[41909]=1;return}function he(a){a=a|0;c[41909]=-1;return}function ie(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+48|0;i=n+8|0;m=n;f=c[b+16>>2]|0;if(c[f+144>>2]|0?(k=e+4|0,j=~~(+h[b+352>>3]*+h[(c[k>>2]|0)+16>>3]),j|0):0){pe(b);mr(b,68167)|0;g=d+8|0;h[g>>3]=+h[g>>3]-+(j|0)*.55;c[i>>2]=c[d>>2];c[i+4>>2]=c[d+4>>2];c[i+8>>2]=c[d+8>>2];c[i+12>>2]=c[d+12>>2];vr(b,i);mr(b,68181)|0;mr(b,c[e>>2]|0)|0;mr(b,68190)|0;mr(b,67988)|0;g=i;d=f+16|0;f=g+40|0;do{c[g>>2]=c[d>>2];g=g+4|0;d=d+4|0}while((g|0)<(f|0));qe(b,i);mr(b,68192)|0;i=c[k>>2]|0;k=c[i+8>>2]|0;k=c[((k|0)==0?i:k+4|0)>>2]|0;mr(b,83714)|0;mr(b,k)|0;mr(b,83714)|0;c[m>>2]=j;sr(b,68201,m);switch(a[e+48>>0]|0){case 108:{mr(b,68206)|0;break}case 114:{mr(b,68217)|0;break}default:{}}re(b);mr(b,134901)|0}l=n;return}function je(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0.0,m=0.0,n=0.0;j=l;l=l+48|0;f=j;g=c[a+16>>2]|0;i=g+144|0;if(c[i>>2]|0){n=+h[b>>3];m=+h[b+24>>3];e=b+8|0;k=+h[e>>3];h[b>>3]=n-+h[b+16>>3]+n;h[e>>3]=k-m+k;pe(a);mr(a,68153)|0;wr(a,b,2);mr(a,67988)|0;do if(!d)if(!(c[41909]|0)){mr(a,82272)|0;break}else{mr(a,121990)|0;break}else{b=f;d=g+56|0;e=b+40|0;do{c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}while((b|0)<(e|0));qe(a,f)}while(0);if((c[41909]|0)==1)c[41909]=0;mr(a,68099)|0;tr(a,+h[g+152>>3]);mr(a,68142)|0;b=f;d=g+16|0;e=b+40|0;do{c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}while((b|0)<(e|0));qe(a,f);b=c[i>>2]|0;if((b|0)==1){mr(a,67996)|0;b=c[i>>2]|0}if((b|0)==2)mr(a,68005)|0;re(a);mr(a,134901)|0}l=j;return}function ke(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0;j=l;l=l+48|0;f=j;g=c[a+16>>2]|0;i=g+144|0;if(c[i>>2]|0){pe(a);mr(a,68125)|0;wr(a,b,d);mr(a,67988)|0;do if(!e)if(!(c[41909]|0)){mr(a,82272)|0;break}else{mr(a,121990)|0;break}else{b=f;d=g+56|0;e=b+40|0;do{c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}while((b|0)<(e|0));qe(a,f)}while(0);if((c[41909]|0)==1)c[41909]=0;mr(a,68099)|0;tr(a,+h[g+152>>3]);mr(a,68142)|0;b=f;d=g+16|0;e=b+40|0;do{c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}while((b|0)<(e|0));qe(a,f);b=c[i>>2]|0;if((b|0)==1){mr(a,67996)|0;b=c[i>>2]|0}if((b|0)==2)mr(a,68005)|0;re(a);mr(a,134901)|0}l=j;return}function le(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0;m=l;l=l+48|0;i=m;j=c[a+16>>2]|0;k=j+144|0;if(c[k>>2]|0){pe(a);mr(a,67974)|0;wr(a,b,d);mr(a,67988)|0;e=i;f=j+16|0;g=e+40|0;do{c[e>>2]=c[f>>2];e=e+4|0;f=f+4|0}while((e|0)<(g|0));qe(a,i);mr(a,68099)|0;tr(a,+h[j+152>>3]);e=c[k>>2]|0;if((e|0)==1){mr(a,67996)|0;e=c[k>>2]|0}if((e|0)==2)mr(a,68005)|0;mr(a,68108)|0;re(a);mr(a,134901)|0}l=m;return}function me(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;i=l;l=l+48|0;g=i;e=c[a+16>>2]|0;h=e+144|0;if(c[h>>2]|0){pe(a);mr(a,67974)|0;wr(a,b,d);mr(a,67988)|0;f=g;b=e+16|0;d=f+40|0;do{c[f>>2]=c[b>>2];f=f+4|0;b=b+4|0}while((f|0)<(d|0));qe(a,g);b=c[h>>2]|0;if((b|0)==1){mr(a,67996)|0;b=c[h>>2]|0}if((b|0)==2)mr(a,68005)|0;re(a);mr(a,134901)|0}l=i;return}function ne(a,b){a=a|0;b=b|0;mr(a,67971)|0;mr(a,oe(b)|0)|0;mr(a,134901)|0;return}function oe(a){a=a|0;return a|0}function pe(b){b=b|0;if(!(a[b+144>>0]|0))mr(b,68096)|0;else mr(b,c[b+148>>2]|0)|0;return}function qe(b,e){b=b|0;e=e|0;var f=0,g=0,h=0,i=0;g=l;l=l+16|0;f=g;a:do switch(c[e+32>>2]|0){case 5:{mr(b,c[e>>2]|0)|0;break}case 1:if(!(a[e+3>>0]|0)){mr(b,82272)|0;break a}else{i=d[e+1>>0]|0;h=d[e+2>>0]|0;c[f>>2]=d[e>>0];c[f+4>>2]=i;c[f+8>>2]=h;sr(b,68547,f);break a}default:ma(123205,68014,49,68078)}while(0);l=g;return}function re(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;h=l;l=l+16|0;g=h;f=c[a+16>>2]|0;switch(c[f+12>>2]|0){case 8:{b=1;d=96273;e=f+8|0;break}case 10:{b=0;d=96273;e=f+8|0;break}case 3:case 2:case 9:{b=1;d=96237;e=f+8|0;break}case 7:case 6:case 11:{b=0;d=96237;e=f+8|0;break}case 0:{b=1;d=96286;e=f+8|0;break}case 4:{b=0;d=68050;e=f+8|0;break}case 1:{b=1;d=96286;e=f+8|0;break}case 5:{b=0;d=96286;e=f+8|0;break}default:ma(123205,68014,106,68033)}f=c[(c[e>>2]|0)+8>>2]|0;c[g>>2]=b;c[g+4>>2]=d;c[g+8>>2]=f;sr(a,68062,g);l=h;return}function se(a){a=a|0;var b=0;mr(a,70986)|0;mr(a,70994)|0;b=a+12|0;mr(a,De(c[c[c[b>>2]>>2]>>2]|0)|0)|0;mr(a,71014)|0;mr(a,De(c[(c[c[b>>2]>>2]|0)+4>>2]|0)|0)|0;mr(a,71024)|0;mr(a,De(c[(c[c[b>>2]>>2]|0)+8>>2]|0)|0)|0;mr(a,71027)|0;return}function te(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0;j=l;l=l+32|0;i=j+24|0;g=j+16|0;f=j+8|0;e=j;d=c[b+16>>2]|0;c[41913]=~~(+h[b+232>>3]-+h[b+216>>3]);c[41912]=~~(+h[b+224>>3]-+h[b+208>>3]);mr(b,69673)|0;mr(b,69680)|0;d=Dn(c[d+8>>2]|0)|0;if(a[d>>0]|0){mr(b,69749)|0;mr(b,De(d)|0)|0;mr(b,69757)|0}c[e>>2]=O(c[b+168>>2]|0,c[b+164>>2]|0)|0;sr(b,69766,e);mr(b,69786)|0;mr(b,69821)|0;mr(b,69849)|0;mr(b,69855)|0;mr(b,69898)|0;mr(b,69939)|0;mr(b,69958)|0;mr(b,69975)|0;mr(b,70023)|0;mr(b,70076)|0;mr(b,70152)|0;mr(b,70228)|0;mr(b,70237)|0;mr(b,70260)|0;mr(b,70287)|0;mr(b,70340)|0;mr(b,70362)|0;mr(b,70407)|0;mr(b,70419)|0;mr(b,70429)|0;mr(b,70455)|0;mr(b,70340)|0;mr(b,70507)|0;mr(b,70407)|0;mr(b,70419)|0;mr(b,70551)|0;mr(b,70260)|0;mr(b,70287)|0;mr(b,70340)|0;mr(b,70507)|0;mr(b,70407)|0;mr(b,70419)|0;mr(b,70429)|0;mr(b,70455)|0;mr(b,70340)|0;mr(b,70362)|0;mr(b,70407)|0;mr(b,70419)|0;mr(b,70564)|0;mr(b,70572)|0;mr(b,70578)|0;mr(b,70592)|0;mr(b,70600)|0;mr(b,70633)|0;e=(c[41913]|0)+10|0;c[f>>2]=c[41912];c[f+4>>2]=e;sr(b,70710,f);mr(b,70740)|0;mr(b,70749)|0;mr(b,70807)|0;mr(b,70817)|0;mr(b,70882)|0;f=c[41913]|0;c[g>>2]=c[41912];c[g+4>>2]=f;sr(b,70919,g);g=c[41913]|0;c[i>>2]=c[41912];c[i+4>>2]=g;sr(b,70947,i);l=j;return}function ue(a){a=a|0;mr(a,69224)|0;mr(a,69236)|0;mr(a,69244)|0;mr(a,69307)|0;mr(a,69236)|0;mr(a,69352)|0;mr(a,69401)|0;mr(a,69455)|0;mr(a,69236)|0;mr(a,69555)|0;mr(a,69604)|0;mr(a,69236)|0;mr(a,69656)|0;return}function ve(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0;j=l;l=l+32|0;i=j+16|0;h=j+8|0;g=j;mr(b,69182)|0;if(d|0?a[d>>0]|0:0){c[g>>2]=De(d)|0;sr(b,69185,g)}if(e|0?a[e>>0]|0:0){c[h>>2]=De(e)|0;sr(b,69196,h)}if(f|0?a[f>>0]|0:0){c[i>>2]=De(f)|0;sr(b,69208,i)}mr(b,69221)|0;l=j;return}function we(a){a=a|0;mr(a,69176)|0;return}function xe(b,e,f){b=b|0;e=e|0;f=f|0;var g=0,i=0.0,j=0.0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0.0;A=l;l=l+112|0;y=A+96|0;z=A+88|0;w=A+80|0;q=A+72|0;v=A+64|0;t=A+56|0;s=A+48|0;r=A+40|0;p=A+24|0;o=A+8|0;n=A;x=c[b+16>>2]|0;switch(a[f+48>>0]|0){case 108:{j=+h[e>>3];m=+h[f+32>>3];break}case 114:{m=+h[f+32>>3];j=+h[e>>3]-m;break}default:{m=+h[f+32>>3];j=+h[e>>3]-m*.5}}g=f+40|0;i=+h[g>>3];u=f+4|0;k=+h[(c[u>>2]|0)+16>>3];if(i<k){i=k*1.1+1.0;h[g>>3]=i}B=j+-8.0;k=+((c[41913]|0)>>>0)-+h[e+8>>3]-i+k*.2+(k<12.0?1.4:2.0);sr(b,68838,n);h[o>>3]=B;h[o+8>>3]=k;sr(b,68775,o);h[p>>3]=j+8.0+m-B;h[p+8>>3]=i;sr(b,68799,p);mr(b,68873)|0;mr(b,68907)|0;g=c[u>>2]|0;e=c[g+8>>2]|0;if(e){c[r>>2]=c[e+4>>2];sr(b,68997,r);g=c[e+8>>2]|0;if(g|0){c[s>>2]=g;sr(b,69016,s)}g=c[e+12>>2]|0;if(g|0){c[t>>2]=g;sr(b,69033,t)}g=c[e+16>>2]|0;if(g|0){c[v>>2]=g;sr(b,69051,v)}}else{c[q>>2]=c[g>>2];sr(b,68997,q)}h[w>>3]=+h[(c[u>>2]|0)+16>>3];sr(b,69067,w);g=x+16|0;switch(c[x+48>>2]|0){case 5:{g=c[g>>2]|0;if(iK(g,122106)|0){c[z>>2]=g;sr(b,69087,z)}break}case 1:{x=d[g+1>>0]|0;z=d[g+2>>0]|0;c[y>>2]=d[g>>0];c[y+4>>2]=x;c[y+8>>2]=z;sr(b,69097,y);break}default:ma(123205,68561,438,69118)}mr(b,69131)|0;mr(b,De(c[f>>2]|0)|0)|0;mr(b,69142)|0;mr(b,69165)|0;l=A;return}function ye(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0.0,j=0,k=0.0,m=0.0;e=l;l=l+32|0;f=e+16|0;j=e;mr(a,68739)|0;m=+h[b>>3];i=+h[b+16>>3]-m;k=+h[b+24>>3];g=k-+h[b+8>>3];k=+((c[41913]|0)>>>0)-k;h[j>>3]=m-i;h[j+8>>3]=k;sr(a,68775,j);h[f>>3]=i*2.0;h[f+8>>3]=g*2.0;sr(a,68799,f);He(a,d);mr(a,68621)|0;Fe(a);mr(a,68827)|0;l=e;return}function ze(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0,i=0.0,j=0,k=0,m=0,n=0;m=l;l=l+48|0;k=m+24|0;j=m+8|0;g=m;mr(a,68344)|0;n=c[41913]|0;c[g>>2]=c[41912];c[g+4>>2]=n;sr(a,68597,g);He(a,e);mr(a,68621)|0;Fe(a);mr(a,68624)|0;g=d+-1|0;e=0;while(1){if((e|0)>=(d|0))break;i=+h[b+(e<<4)>>3];f=+((c[41913]|0)>>>0)-+h[b+(e<<4)+8>>3];if(!e){mr(a,68651)|0;h[j>>3]=i;h[j+8>>3]=f;sr(a,68717,j);mr(a,68728)|0}else{h[k>>3]=i;h[k+8>>3]=f;sr(a,68717,k)}if((e|0)==(g|0))mr(a,68731)|0;e=e+1|0}mr(a,68460)|0;l=m;return}function Ae(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0;f=l;l=l+16|0;e=f;mr(a,68344)|0;h=c[41913]|0;c[e>>2]=c[41912];c[e+4>>2]=h;sr(a,68597,e);He(a,g);mr(a,68621)|0;Fe(a);mr(a,68624)|0;Ie(a,b,d);mr(a,68637)|0;l=f;return}function Be(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0.0;k=l;l=l+48|0;j=k+24|0;i=k+8|0;f=k;mr(a,68344)|0;g=c[41913]|0;c[f>>2]=c[41912];c[f+4>>2]=g;sr(a,68381,f);mr(a,68421)|0;f=d+-1|0;g=b+8|0;e=0;while(1){if((e|0)>=(d|0))break;if(!e){mr(a,68433)|0;m=+((c[41913]|0)>>>0)-+h[g>>3];h[i>>3]=+h[b>>3];h[i+8>>3]=m;sr(a,68437,i);mr(a,68448)|0}else{m=+((c[41913]|0)>>>0)-+h[b+(e<<4)+8>>3];h[j>>3]=+h[b+(e<<4)>>3];h[j+8>>3]=m;sr(a,68437,j)}if((e|0)==(f|0))mr(a,68452)|0;e=e+1|0}mr(a,68456)|0;Fe(a);mr(a,68460)|0;l=k;return}function Ce(a,b){a=a|0;b=b|0;mr(a,68279)|0;mr(a,De(b)|0)|0;mr(a,68291)|0;return}function De(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+16|0;e=u;d=c[41910]|0;if(!d){c[41911]=64;d=ww(64)|0;c[41910]=d}s=e+15|0;r=e+14|0;g=0;q=0;o=0;e=0;f=0;a:while(1){n=(o|0)!=0;k=g;p=b;j=e;b:while(1){if(!p){t=32;break a}e=a[p>>0]|0;if(!(e<<24>>24)){t=32;break a}b=c[41911]|0;if((q|0)>(b+-8|0)){d=b<<1;c[41911]=d;d=yw(c[41910]|0,d)|0;c[41910]=d;d=d+q|0;e=a[p>>0]|0}switch(e<<24>>24){case 60:{e=4;b=87187;t=26;break b}case 62:{e=4;b=87170;t=27;break b}case 38:{t=10;break b}case 45:{e=5;b=87181;i=j;break b}default:{}}if(n&e<<24>>24==32){t=12;break}switch(e<<24>>24){case 34:{e=6;b=87150;t=26;break b}case 39:{e=5;b=87175;t=27;break b}default:{}}if(e<<24>>24<0){i=127;b=0}else{e=1;b=p;t=26;break}while(1){g=i&255;h=e&255;if(g>>>0>=h>>>0)break;e=i&h&255;i=g>>>1;b=b+1|0}if((b|0)<=1){g=ON(j|0,f|0,6)|0;g=HN(g|0,z|0,e&255|0,0)|0;f=z;m=k+-1|0;if((k|0)>1){b=m;e=g}else{t=21;break}}else{b=b+-1|0;e=e&255;f=0}k=b;p=p+1|0;j=e}if((t|0)==10){t=0;b=(Ee(p)|0)==0;e=b?5:1;b=b?87164:p;i=j}else if((t|0)==12){t=0;b=(a[o>>0]|0)==32;e=b?6:1;b=b?87157:p;i=j}else if((t|0)==21){t=0;a[s>>0]=59;e=3;h=r;i=g;j=f;while(1){b=MN(i|0,j|0,10,0)|0;g=h+-1|0;a[h>>0]=b|48;b=i;i=LN(i|0,j|0,10,0)|0;f=j;j=z;o=e;e=e+1|0;if((o|0)>11){t=23;break a}if(!(f>>>0>0|(f|0)==0&b>>>0>9))break;else h=g}b=h+-2|0;a[g>>0]=35;a[b>>0]=38;k=m;f=j}else if((t|0)==26){t=0;i=j}else if((t|0)==27){t=0;i=j}h=d+e|0;g=e;while(1){if(!g)break;a[d>>0]=a[b>>0]|0;g=g+-1|0;b=b+1|0;d=d+1|0}g=k;b=p+1|0;q=e+q|0;o=p;d=h;e=i}if((t|0)==23){XL(68297,46,1,c[13918]|0)|0;Ma(1)}else if((t|0)==32){a[d>>0]=0;l=u;return c[41910]|0}return 0}function Ee(b){b=b|0;var c=0,d=0;d=b+1|0;c=a[d>>0]|0;a:do if(c<<24>>24==35){d=b+2|0;c=a[d>>0]|0;switch(c<<24>>24){case 88:case 120:break;default:{b=d;while(1){d=b+1|0;if((c+-48&255)>=10)break a;b=d;c=a[d>>0]|0}}}d=b+3|0;while(1){c=a[d>>0]|0;if((c+-48&255)>=10)switch(c<<24>>24){case 65:case 66:case 67:case 68:case 69:case 70:case 97:case 98:case 99:case 100:case 101:case 102:break;default:break a}d=d+1|0}}else while(1){b=d+1|0;if(((c&-33)+-65&255)>=26)break a;d=b;c=a[b>>0]|0}while(0);return c<<24>>24==59|0}function Fe(a){a=a|0;var b=0.0,d=0,e=0,f=0,g=0,i=0,j=0,k=0;k=l;l=l+48|0;d=k+8|0;j=k;i=c[a+16>>2]|0;mr(a,68472)|0;e=d;f=i+16|0;g=e+40|0;do{c[e>>2]=c[f>>2];e=e+4|0;f=f+4|0}while((e|0)<(g|0));Ge(a,d);b=+h[i+152>>3];if(b!=1.0){h[j>>3]=b;sr(a,68490,j)}switch(c[i+144>>2]|0){case 1:{mr(a,68507)|0;break}case 2:{mr(a,68525)|0;break}default:{}}mr(a,68542)|0;l=k;return}function Ge(b,e){b=b|0;e=e|0;var f=0,g=0,h=0,i=0;g=l;l=l+16|0;f=g;a:do switch(c[e+32>>2]|0){case 5:{mr(b,c[e>>2]|0)|0;break}case 1:if(!(a[e+3>>0]|0)){mr(b,120501)|0;break a}else{i=d[e+1>>0]|0;h=d[e+2>>0]|0;c[f>>2]=d[e>>0];c[f+4>>2]=i;c[f+8>>2]=h;sr(b,68547,f);break a}default:ma(123205,68561,94,68581)}while(0);l=g;return}function He(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;g=l;l=l+48|0;f=g;if(!b)mr(a,68700)|0;else{d=c[a+16>>2]|0;mr(a,68670)|0;b=f;d=d+56|0;e=b+40|0;do{c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}while((b|0)<(e|0));Ge(a,f);mr(a,68697)|0}l=g;return}function Ie(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0.0,k=0.0;i=l;l=l+32|0;g=i;e=68651;f=0;while(1){if((f|0)>=(d|0))break;k=+h[b+(f<<4)>>3];j=+((c[41913]|0)>>>0)-+h[b+(f<<4)+8>>3];c[g>>2]=e;h[g+8>>3]=k;h[g+16>>3]=j;sr(a,68654,g);e=(f|0)==0?68667:174181;f=f+1|0}mr(a,83714)|0;l=i;return}function Je(a){a=a|0;var b=0,d=0,e=0;b=l;l=l+16|0;d=b+8|0;e=b;mr(a,73284)|0;mr(a,73299)|0;mr(a,73338)|0;mr(a,73387)|0;c[e>>2]=122106;c[e+4>>2]=73475;sr(a,73456,e);c[d>>2]=121990;c[d+4>>2]=73481;sr(a,73456,d);l=b;return}function Ke(a){a=a|0;var b=0,d=0,e=0.0,f=0.0,g=0.0,i=0.0,j=0;b=l;l=l+64|0;d=b+8|0;j=b;c[j>>2]=Dn(c[(c[a+16>>2]|0)+8>>2]|0)|0;sr(a,72237,j);i=+h[a+368>>3]*.5*+h[a+488>>3];g=+h[a+376>>3]*.5*+h[a+496>>3];f=+J(+(i*2.0000000949949026e-03))*180.0*.6366197723675814;e=+J(+(g*2.0000000949949026e-03))*180.0*.6366197723675814;h[d>>3]=i;h[d+8>>3]=g;h[d+16>>3]=-500.0;h[d+24>>3]=i;h[d+32>>3]=g;h[d+40>>3]=0.0;h[d+48>>3]=(f>e?f:e)*1.2;sr(a,72259,d);mr(a,72406)|0;mr(a,73236)|0;l=b;return}function Le(a){a=a|0;mr(a,72220)|0;return}function Me(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,h=0;f=l;l=l+16|0;h=f;c[h>>2]=b;c[h+4>>2]=d;c[h+8>>2]=e;sr(a,72190,h);g[41914]=+(O(d,-10)|0);l=f;return}function Ne(a){a=a|0;mr(a,72173)|0;return}function Oe(a){a=a|0;mr(a,72155)|0;return}function Pe(a){a=a|0;mr(a,72139)|0;return}function Qe(a){a=a|0;mr(a,72118)|0;g[41914]=+g[41914]+-2.0;return}function Re(a){a=a|0;mr(a,72099)|0;return}function Se(a){a=a|0;var b=0,d=0;b=l;l=l+16|0;d=b;c[d>>2]=Dn(c[(c[a+16>>2]|0)+8>>2]|0)|0;sr(a,72077,d);l=b;return}function Te(a){a=a|0;mr(a,72061)|0;return}function Ue(a){a=a|0;mr(a,72043)|0;g[41914]=+g[41914]+-5.0;return}function Ve(a){a=a|0;mr(a,72027)|0;g[41914]=+g[41914]+5.0;return}function We(b,d,e){b=b|0;d=d|0;e=e|0;var f=0.0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0.0,t=0.0,u=0.0;r=l;l=l+144|0;o=r+104|0;q=r+56|0;m=r+32|0;j=r+24|0;n=r;p=e+4|0;i=c[p>>2]|0;f=+h[i+16>>3];i=c[i>>2]|0;c[n>>2]=c[e>>2];h[n+8>>3]=f;c[n+16>>2]=i;sr(b,71873,n);g[41915]=+g[41914]+-9.0;switch(a[e+48>>0]|0){case 108:{f=+h[d>>3];break}case 114:{i=d;f=+h[d>>3]-+h[e+32>>3];k=5;break}default:{i=d;f=+h[d>>3]-+h[e+32>>3]*.5;k=5}}if((k|0)==5)h[i>>3]=f;u=+h[b+488>>3];t=(+h[b+504>>3]+f)*u;s=(+h[b+512>>3]+ +h[d+8>>3])*+h[b+496>>3];h[j>>3]=+h[(c[p>>2]|0)+16>>3]*u;n=af(b,71925,j)|0;f=+(c[b+360>>2]|0);h[m>>3]=0.0;h[m+8>>3]=0.0;h[m+16>>3]=f;i=af(b,71142,m)|0;f=+g[41915];h[o>>3]=t;h[o+8>>3]=s;h[o+16>>3]=f;d=af(b,71174,o)|0;j=o;k=(c[b+16>>2]|0)+16|0;m=j+40|0;do{c[j>>2]=c[k>>2];j=j+4|0;k=k+4|0}while((j|0)<(m|0));o=bf(b,o,0.0)|0;e=c[e>>2]|0;c[q>>2]=c[c[p>>2]>>2];h[q+8>>3]=.25;h[q+16>>3]=0.0;c[q+24>>2]=e;c[q+28>>2]=72012;c[q+32>>2]=n;c[q+36>>2]=i;c[q+40>>2]=d;c[q+44>>2]=o;q=af(b,71937,q)|0;mr(b,q)|0;_I(q);_I(i);_I(o);_I(d);_I(n);l=r;return}function Xe(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,i=0.0,j=0.0,k=0.0,m=0,n=0,o=0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0.0;z=l;l=l+240|0;x=z+192|0;y=z+152|0;t=z+128|0;r=z+104|0;o=z+80|0;n=z+48|0;e=z+24|0;m=z;mr(a,71750)|0;g[41915]=+g[41914]+-6.0;i=+h[b>>3];j=+h[a+488>>3];p=(+h[a+504>>3]+i)*j;A=+h[b+8>>3];k=+h[a+496>>3];q=(+h[a+512>>3]+A)*k;j=(+h[b+16>>3]-i)*j;k=(+h[b+24>>3]-A)*k;s=a+16|0;A=k+j;i=+h[(c[s>>2]|0)+152>>3]/A*2.5;h[m>>3]=j;h[m+8>>3]=A*.25;h[m+16>>3]=k;b=af(a,71110,m)|0;m=a+360|0;A=+(c[m>>2]|0);h[e>>3]=90.0;h[e+8>>3]=0.0;h[e+16>>3]=A;e=af(a,71142,e)|0;A=+g[41915];h[x>>3]=p;h[x+8>>3]=q;h[x+16>>3]=A;f=af(a,71174,x)|0;u=x;v=(c[s>>2]|0)+16|0;w=u+40|0;do{c[u>>2]=c[v>>2];u=u+4|0;v=v+4|0}while((u|0)<(w|0));v=bf(a,x,0.0)|0;h[n>>3]=1.0;h[n+8>>3]=i;c[n+16>>2]=b;c[n+20>>2]=e;c[n+24>>2]=f;c[n+28>>2]=v;w=af(a,71765,n)|0;mr(a,w)|0;_I(b);_I(e);_I(f);_I(v);_I(w);if(d|0){h[o>>3]=j;h[o+8>>3]=k;h[o+16>>3]=1.0;f=af(a,71110,o)|0;A=+(c[m>>2]|0);h[r>>3]=0.0;h[r+8>>3]=0.0;h[r+16>>3]=A;e=af(a,71142,r)|0;A=+g[41915];h[t>>3]=p;h[t+8>>3]=q;h[t+16>>3]=A;b=af(a,71174,t)|0;u=x;v=(c[s>>2]|0)+56|0;w=u+40|0;do{c[u>>2]=c[v>>2];u=u+4|0;v=v+4|0}while((u|0)<(w|0));x=bf(a,x,0.0)|0;h[y>>3]=0.0;h[y+8>>3]=0.0;h[y+16>>3]=0.0;c[y+24>>2]=f;c[y+28>>2]=e;c[y+32>>2]=b;c[y+36>>2]=x;y=af(a,71811,y)|0;mr(a,y)|0;_I(f);_I(e);_I(b);_I(x);_I(y)}l=z;return}function Ye(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0.0,M=0,N=0.0;K=l;l=l+336|0;B=K+296|0;J=K+288|0;I=K+272|0;H=K+264|0;G=K+240|0;D=K+232|0;A=K+208|0;z=K+184|0;w=K+160|0;v=K+152|0;u=K+136|0;t=K+128|0;s=K+96|0;r=K+88|0;q=K+56|0;f=K+48|0;m=K+24|0;k=K;mr(a,71615)|0;g[41915]=+g[41914]+-2.0;o=a+488|0;p=a+496|0;L=+h[p>>3];h[k>>3]=+h[o>>3];h[k+8>>3]=L;h[k+16>>3]=1.0;k=af(a,71110,k)|0;y=a+360|0;L=+(c[y>>2]|0);h[m>>3]=0.0;h[m+8>>3]=0.0;h[m+16>>3]=L;m=af(a,71142,m)|0;L=+g[41915]+-2.0;h[B>>3]=0.0;h[B+8>>3]=0.0;h[B+16>>3]=L;n=af(a,71174,B)|0;C=a+16|0;i=B;j=(c[C>>2]|0)+16|0;x=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(x|0));j=bf(a,B,0.0)|0;c[f>>2]=71237;c[f+4>>2]=d+1;E=a+504|0;F=a+512|0;i=0;f=af(a,71206,f)|0;while(1){if((i|0)>=(d|0))break;N=+h[F>>3]+ +h[b+(i<<4)+8>>3];L=+h[(c[C>>2]|0)+152>>3];h[q>>3]=+h[E>>3]+ +h[b+(i<<4)>>3];h[q+8>>3]=N;h[q+16>>3]=0.0;h[q+24>>3]=L;M=af(a,71251,q)|0;c[r>>2]=f;c[r+4>>2]=M;x=af(a,71280,r)|0;_I(M);_I(f);i=i+1|0;f=x}L=+h[F>>3]+ +h[b+8>>3];N=+h[(c[C>>2]|0)+152>>3];h[s>>3]=+h[E>>3]+ +h[b>>3];h[s+8>>3]=L;h[s+16>>3]=0.0;h[s+24>>3]=N;x=af(a,71251,s)|0;c[t>>2]=f;c[t+4>>2]=x;M=af(a,71280,t)|0;_I(x);_I(f);c[u>>2]=k;c[u+4>>2]=m;c[u+8>>2]=n;c[u+12>>2]=j;x=af(a,71630,u)|0;c[v>>2]=M;c[v+4>>2]=x;M=af(a,71335,v)|0;_I(x);mr(a,M)|0;_I(k);_I(m);_I(n);_I(j);_I(M);if(e|0){N=+h[p>>3];h[w>>3]=+h[o>>3];h[w+8>>3]=N;h[w+16>>3]=1.0;n=af(a,71110,w)|0;N=+(c[y>>2]|0);h[z>>3]=0.0;h[z+8>>3]=0.0;h[z+16>>3]=N;m=af(a,71142,z)|0;N=+g[41915]+-2.0;h[A>>3]=0.0;h[A+8>>3]=0.0;h[A+16>>3]=N;k=af(a,71174,A)|0;i=B;j=(c[C>>2]|0)+56|0;x=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(x|0));j=bf(a,B,.25)|0;c[D>>2]=d;i=0;f=af(a,71675,D)|0;while(1){if((i|0)>=(d|0))break;N=+h[F>>3]+ +h[b+(i<<4)+8>>3];h[G>>3]=+h[E>>3]+ +h[b+(i<<4)>>3];h[G+8>>3]=N;h[G+16>>3]=0.0;D=af(a,71690,G)|0;c[H>>2]=f;c[H+4>>2]=D;M=af(a,71712,H)|0;_I(D);_I(f);i=i+1|0;f=M}c[I>>2]=n;c[I+4>>2]=m;c[I+8>>2]=k;c[I+12>>2]=j;I=af(a,71722,I)|0;c[J>>2]=f;c[J+4>>2]=I;M=af(a,71335,J)|0;_I(I);mr(a,M)|0;_I(n);_I(m);_I(k);_I(j);_I(M)}l=K;return}function Ze(a,b,d,e,f,i){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0.0,D=0.0;B=l;l=l+208|0;e=B+160|0;A=B+152|0;z=B+136|0;y=B+128|0;x=B+96|0;w=B+88|0;v=B+56|0;k=B+48|0;s=B+24|0;r=B;mr(a,71542)|0;g[41915]=+g[41914]+-4.0;C=+h[a+496>>3];h[r>>3]=+h[a+488>>3];h[r+8>>3]=C;h[r+16>>3]=1.0;r=af(a,71110,r)|0;C=+(c[a+360>>2]|0);h[s>>3]=0.0;h[s+8>>3]=0.0;h[s+16>>3]=C;s=af(a,71142,s)|0;C=+g[41915]+-2.0;h[e>>3]=0.0;h[e+8>>3]=0.0;h[e+16>>3]=C;t=af(a,71174,e)|0;u=a+16|0;f=e;i=(c[u>>2]|0)+56|0;j=f+40|0;do{c[f>>2]=c[i>>2];f=f+4|0;i=i+4|0}while((f|0)<(j|0));n=bf(a,e,0.0)|0;c[k>>2]=71556;c[k+4>>2]=d+2;o=a+504|0;p=a+512|0;q=d+-1|0;m=0;e=af(a,71206,k)|0;while(1){if((m|0)>=(d|0))break;f=b+(m<<4)|0;i=b+(m<<4)+8|0;D=+h[p>>3]+ +h[i>>3];C=+h[(c[u>>2]|0)+152>>3];h[v>>3]=+h[o>>3]+ +h[f>>3];h[v+8>>3]=D;h[v+16>>3]=0.0;h[v+24>>3]=C;k=af(a,71251,v)|0;c[w>>2]=e;c[w+4>>2]=k;j=af(a,71280,w)|0;_I(k);_I(e);if((m|0)==0|(m|0)==(q|0)){C=+h[p>>3]+ +h[i>>3];D=+h[(c[u>>2]|0)+152>>3];h[x>>3]=+h[o>>3]+ +h[f>>3];h[x+8>>3]=C;h[x+16>>3]=0.0;h[x+24>>3]=D;k=af(a,71251,x)|0;c[y>>2]=j;c[y+4>>2]=k;e=af(a,71280,y)|0;_I(k);_I(j)}else e=j;m=m+1|0}c[z>>2]=r;c[z+4>>2]=s;c[z+8>>2]=t;c[z+12>>2]=n;b=af(a,71565,z)|0;c[A>>2]=e;c[A+4>>2]=b;d=af(a,71335,A)|0;_I(b);mr(a,d)|0;_I(r);_I(s);_I(t);_I(n);_I(d);l=B;return}function _e(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0.0,x=0,y=0.0;v=l;l=l+160|0;e=v+120|0;u=v+112|0;t=v+96|0;s=v+88|0;r=v+56|0;m=v+48|0;n=v+24|0;q=v;mr(a,71094)|0;g[41915]=+g[41914]+-6.0;w=+h[a+496>>3];h[q>>3]=+h[a+488>>3];h[q+8>>3]=w;h[q+16>>3]=1.0;q=af(a,71110,q)|0;w=+(c[a+360>>2]|0);h[n>>3]=0.0;h[n+8>>3]=0.0;h[n+16>>3]=w;n=af(a,71142,n)|0;w=+g[41915];h[e>>3]=0.0;h[e+8>>3]=0.0;h[e+16>>3]=w;o=af(a,71174,e)|0;p=a+16|0;f=e;i=(c[p>>2]|0)+16|0;j=f+40|0;do{c[f>>2]=c[i>>2];f=f+4|0;i=i+4|0}while((f|0)<(j|0));i=bf(a,e,0.0)|0;c[m>>2]=71237;c[m+4>>2]=d;j=a+504|0;k=a+512|0;f=0;e=af(a,71206,m)|0;while(1){if((f|0)>=(d|0))break;y=+h[k>>3]+ +h[b+(f<<4)+8>>3];w=+h[(c[p>>2]|0)+152>>3];h[r>>3]=+h[j>>3]+ +h[b+(f<<4)>>3];h[r+8>>3]=y;h[r+16>>3]=0.0;h[r+24>>3]=w;x=af(a,71251,r)|0;c[s>>2]=e;c[s+4>>2]=x;m=af(a,71280,s)|0;_I(x);_I(e);f=f+1|0;e=m}c[t>>2]=q;c[t+4>>2]=n;c[t+8>>2]=o;c[t+12>>2]=i;t=af(a,71289,t)|0;c[u>>2]=e;c[u+4>>2]=t;x=af(a,71335,u)|0;_I(t);mr(a,x)|0;_I(q);_I(n);_I(o);_I(i);_I(x);l=v;return}function $e(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=b;sr(a,71075,e);l=d;return}function af(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;i=l;l=l+1056|0;h=i;e=i+24|0;f=i+8|0;c[f>>2]=d;g=LK(e,1024,b,f)|0;do if((g|0)>=0)if((g|0)>1023){a=ZI(g+1|0)|0;c[f>>2]=d;qL(a,b,f)|0;break}else{a=GL(e)|0;break}else{a=c[(c[a+12>>2]|0)+16>>2]|0;c[h>>2]=yJ(c[(jJ()|0)>>2]|0)|0;hb[a&31](71520,h);a=GL(174181)|0}while(0);l=i;return a|0}function bf(a,b,e){a=a|0;b=b|0;e=+e;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0,s=0.0;q=l;l=l+112|0;o=q+104|0;j=q+96|0;i=q+64|0;n=q+48|0;p=q+32|0;m=q+16|0;k=q;g=c[b+32>>2]|0;a:do switch(g|0){case 5:{f=c[b>>2]|0;if(!(xJ(f,121094)|0)){c[k>>2]=71357;h[k+8>>3]=e;f=af(a,71340,k)|0;break a}if(!(xJ(f,118224)|0)){c[m>>2]=71361;h[m+8>>3]=e;f=af(a,71340,m)|0;break a}if(!(xJ(f,116223)|0)){c[p>>2]=71367;h[p+8>>3]=e;f=af(a,71340,p)|0;break a}else{c[n>>2]=f;h[n+8>>3]=e;f=af(a,71340,n)|0;break a}}case 1:{s=+(d[b+1>>0]|0)*.00390625;r=+(d[b+2>>0]|0)*.00390625;h[i>>3]=+(d[b>>0]|0)*.00390625;h[i+8>>3]=s;h[i+16>>3]=r;h[i+24>>3]=e;f=af(a,71372,i)|0;break}default:{p=c[13918]|0;n=c[b>>2]|0;c[j>>2]=g;c[j+4>>2]=n;zL(p,71411,j)|0;ma(123205,71461,436,71481)}}while(0);c[o>>2]=f;p=af(a,71498,o)|0;_I(f);l=q;return p|0}function cf(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0;b=l;l=l+32|0;d=b+24|0;e=b+16|0;g=b;f=c[a+16>>2]|0;h=c[c[a+12>>2]>>2]|0;j=c[h>>2]|0;i=c[h+4>>2]|0;h=c[h+8>>2]|0;c[g>>2]=73927;c[g+4>>2]=j;c[g+8>>2]=i;c[g+12>>2]=h;sr(a,76546,g);f=Dn(c[f+8>>2]|0)|0;c[e>>2]=73927;c[e+4>>2]=f;sr(a,76578,e);c[d>>2]=73927;sr(a,76592,d);l=b;return}function df(a){a=a|0;var b=0,d=0;b=l;l=l+16|0;d=b;c[d>>2]=73927;sr(a,76494,d);l=b;return}function ef(a){a=a|0;var b=0.0,d=0.0,e=0.0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0,T=0,U=0,V=0,W=0;W=l;l=l+304|0;V=W+296|0;U=W+288|0;T=W+272|0;R=W+264|0;Q=W+256|0;P=W+248|0;O=W+240|0;N=W+232|0;M=W+224|0;L=W+216|0;K=W+208|0;J=W+200|0;I=W+192|0;H=W+184|0;G=W+176|0;F=W+168|0;E=W+160|0;C=W+152|0;A=W+144|0;z=W+136|0;y=W+128|0;x=W+120|0;w=W+112|0;v=W+104|0;u=W+96|0;t=W+88|0;s=W+80|0;r=W+72|0;q=W+64|0;p=W+56|0;o=W+48|0;S=W+40|0;B=W+24|0;n=W+16|0;m=W;g=c[a+456>>2]|0;i=c[a+460>>2]|0;j=c[a+464>>2]|0;k=c[a+468>>2]|0;f=a+360|0;a:do if(c[4007]|0){switch(c[f>>2]|0){case 90:case 0:break a;default:{}}rf();c[4007]=0}while(0);e=(+(k|0)-+(i|0))*.013888888888888888;b=(+(j|0)-+(g|0))*.013888888888888888;k=(c[f>>2]|0)==90;d=k?e:b;e=k?b:e;h[m>>3]=d;h[m+8>>3]=e;sr(a,74114,m);c[n>>2]=73927;sr(a,74129,n);if(d>0.0){b=+FJ(d);h[16877]=b;b=b+3.0-+(~~b|0)}else b=3.0;b=+D(10.0,+b);h[16877]=b;h[B>>3]=b;h[B+8>>3]=b;sr(a,74298,B);c[S>>2]=73927;sr(a,74333,S);c[o>>2]=73927;sr(a,74391,o);c[p>>2]=73927;sr(a,74451,p);c[q>>2]=73927;sr(a,74500,q);c[r>>2]=73927;sr(a,74539,r);c[s>>2]=73927;sr(a,74590,s);c[t>>2]=73927;sr(a,74652,t);c[u>>2]=73927;sr(a,74762,u);c[v>>2]=73927;sr(a,74853,v);c[w>>2]=73927;sr(a,74907,w);c[x>>2]=73927;sr(a,74976,x);sr(a,75012,y);c[z>>2]=73927;sr(a,75137,z);c[A>>2]=73927;sr(a,75166,A);sr(a,75206,C);c[E>>2]=73927;sr(a,75299,E);c[F>>2]=73927;sr(a,75358,F);c[G>>2]=73927;sr(a,75439,G);sr(a,75509,H);c[I>>2]=73927;sr(a,75598,I);c[J>>2]=73927;sr(a,75703,J);c[K>>2]=73927;sr(a,75779,K);c[L>>2]=73927;sr(a,75818,L);c[M>>2]=73927;sr(a,75917,M);c[N>>2]=73927;sr(a,75963,N);sr(a,76052,O);c[P>>2]=73927;sr(a,76093,P);c[Q>>2]=73927;sr(a,76176,Q);c[R>>2]=73927;sr(a,76277,R);h[T>>3]=e;h[T+8>>3]=d;sr(a,76341,T);sr(a,76369,U);sr(a,76377,V);l=W;return}function ff(a){a=a|0;var b=0;b=l;l=l+16|0;sr(a,74107,b);l=b;return}function gf(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0.0,k=0,m=0,n=0.0,o=0,p=0,q=0,r=0;r=l;l=l+48|0;q=r+24|0;p=r+8|0;o=r;switch(a[e+48>>0]|0){case 108:{k=d;i=+h[e+32>>3];j=+h[d>>3];break}case 114:{i=+h[e+32>>3];g=i;f=5;break}default:{i=+h[e+32>>3];g=i*.5;f=5}}if((f|0)==5){j=+h[d>>3]-g;h[d>>3]=j;k=d}m=e+4|0;f=c[m>>2]|0;g=+h[f+16>>3];d=d+8|0;n=+h[d>>3]+g*.004629629629629629;h[d>>3]=n;i=j+i*.006944444444444444;h[k>>3]=i;f=c[f>>2]|0;do if(f){d=c[41916]|0;if(d|0?(xJ(d,f)|0)==0:0)break;c[o>>2]=pf(f)|0;sr(b,74006,o);o=c[m>>2]|0;c[41916]=c[o>>2];g=+h[o+16>>3]}while(0);f=~~g;f=(f|0)>1?f:1;if((f|0)!=(c[41917]|0)){j=+h[16877];c[p>>2]=f;h[p+8>>3]=j;sr(b,74014,p);c[41917]=f}c[q>>2]=qf(c[e>>2]|0)|0;h[q+8>>3]=i;h[q+16>>3]=n;sr(b,74035,q);l=r;return}function hf(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0.0,j=0.0,k=0.0;e=l;l=l+48|0;f=e;i=+h[b>>3];k=(+h[b+16>>3]-i)*.027777777777777776;g=+h[b+8>>3];j=(+h[b+24>>3]-g)*.027777777777777776;c[f>>2]=1;c[f+4>>2]=d|0?73948:174181;h[f+8>>3]=k;h[f+16>>3]=j;h[f+24>>3]=i*.013888888888888888;h[f+32>>3]=g*.013888888888888888;sr(a,73954,f);l=e;return}function jf(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;e=l;l=l+16|0;nf(c[a+16>>2]|0,e+8|0,e);of(a,b,d,1);l=e;return}function kf(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0.0,v=0.0,w=0;t=l;l=l+128|0;s=t+112|0;q=t+104|0;p=t+96|0;e=t+88|0;n=t+16|0;o=t;k=c[a+16>>2]|0;j=ZI((d*140|0)+140|0)|0;nf(k,t+116|0,t+80|0);v=+h[b>>3];k=n+48|0;h[k>>3]=v;u=+h[b+8>>3];h[n+56>>3]=u;c[e>>2]=~~(v+(v>=0.0?.5:-.5));c[e+4>>2]=~~(u+(u>=0.0?.5:-.5));i=o+8|0;e=j+(pL(j,73932,e)|0)|0;r=1;g=0;while(1){m=g+3|0;if((m|0)>=(d|0))break;c[n>>2]=c[k>>2];c[n+4>>2]=c[k+4>>2];c[n+8>>2]=c[k+8>>2];c[n+12>>2]=c[k+12>>2];f=1;while(1){if((f|0)==4){f=1;break}w=f+g|0;h[n+(f<<4)>>3]=+h[b+(w<<4)>>3];h[n+(f<<4)+8>>3]=+h[b+(w<<4)+8>>3];f=f+1|0}while(1){if((f|0)==7)break;PA(o,n,3,+(f|0)*.16666666666666666,0,0);u=+h[o>>3];v=+h[i>>3];c[p>>2]=~~(u+(u>=0.0?.5:-.5));c[p+4>>2]=~~(v+(v>=0.0?.5:-.5));f=f+1|0;e=e+(pL(e,73932,p)|0)|0}r=r+6|0;g=m}c[q>>2]=j;sr(a,73939,q);_I(j);f=r+-1|0;e=0;while(1){if((e|0)>=(r|0))break;c[s>>2]=((e|0)%(f|0)|0|0)!=0&1;sr(a,73944,s);e=e+1|0}mr(a,134901)|0;l=t;return}function lf(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=l;l=l+16|0;nf(c[a+16>>2]|0,e+8|0,e);of(a,b,d,0);l=e;return}function mf(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=73927;c[e+4>>2]=b;sr(a,73920,e);l=d;return}function nf(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0;switch(c[a+144>>2]|0){case 1:{e=10.0;a=1;break}case 2:{e=10.0;a=2;break}default:{e=0.0;a=0}}c[b>>2]=a;h[d>>3]=e;return}function of(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0.0,m=0.0;j=l;l=l+16|0;i=j+8|0;g=j;f=0;while(1){if((f|0)>=(d|0))break;m=+h[b+(f<<4)>>3];k=+h[b+(f<<4)+8>>3];c[g>>2]=~~(m+(m>=0.0?.5:-.5));c[g+4>>2]=~~(k+(k>=0.0?.5:-.5));sr(a,73932,g);f=f+1|0}if(e|0){k=+h[b>>3];m=+h[b+8>>3];c[i>>2]=~~(k+(k>=0.0?.5:-.5));c[i+4>>2]=~~(m+(m>=0.0?.5:-.5));sr(a,73932,i)}mr(a,134901)|0;l=j;return}function pf(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;h=l;l=l+16|0;f=h;a:while(1){d=15756;while(1){e=c[d+4>>2]|0;if(!e)break;if(!(xJ(e,b)|0)){g=6;break a}d=d+8|0}c[f>>2]=74088;c[f+4>>2]=b;_l(1,74062,f)|0;d=HL(b,45)|0;if(!d){d=74105;break}a[d>>0]=0}l=h;return d|0}function qf(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;h=i;d=c[41918]|0;if(!d){c[41919]=64;d=ZI(64)|0;c[41918]=d;e=0}else e=0;while(1){g=b+1|0;f=a[b>>0]|0;if(!(f<<24>>24))break;b=c[41919]|0;if((e|0)>(b+-8|0)){d=b<<1;c[41919]=d;d=aJ(c[41918]|0,d)|0;c[41918]=d;d=d+e|0}if(f<<24>>24<=-1){a[d>>0]=92;c[h>>2]=f&255;pL(d+1|0,74057,h)|0;b=g;d=d+4|0;e=e+4|0;continue}if(f<<24>>24==92){a[d>>0]=92;e=e+1|0;d=d+1|0}a[d>>0]=f;b=g;d=d+1|0;e=e+1|0}a[d>>0]=0;l=i;return c[41918]|0}function rf(){var a=0,b=0;a=l;l=l+16|0;b=a;c[b>>2]=74088;c[b+4>>2]=76485;_l(0,76467,b)|0;l=a;return}function sf(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0,k=0;e=l;l=l+32|0;f=e+8|0;j=e;b=b+8|0;k=c[b>>2]|0;c[j>>2]=k;c[j+4>>2]=k;sr(a,77065,j);i=(+h[d>>3]+ +h[d+16>>3])*.5;g=(+h[d+8>>3]+ +h[d+24>>3])*.5;c[f>>2]=c[b>>2];h[f+8>>3]=i;h[f+16>>3]=g;sr(a,77107,f);l=e;return}function tf(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0.0,k=0.0;e=l;l=l+48|0;f=e;i=+h[d>>3];k=+h[d+16>>3]-i;g=+h[d+24>>3];j=g-+h[d+8>>3];g=+(~~(+h[a+232>>3]-+h[a+216>>3])>>>0)-g;c[f>>2]=c[b+8>>2];h[f+8>>3]=k;h[f+16>>3]=j;h[f+24>>3]=i;h[f+32>>3]=g;sr(a,77152,f);mr(a,77244)|0;l=e;return}function uf(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;return}function vf(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0.0;t=l;l=l+160|0;s=t+152|0;r=t+136|0;q=t+120|0;k=t+112|0;n=t+104|0;m=t+88|0;j=t+72|0;i=t+64|0;o=t;if(!a)ma(96061,77249,212,77268);if(!b)ma(96091,77249,213,77268);p=b+8|0;if(!(c[p>>2]|0))ma(96094,77249,214,77268);if(c[b+52>>2]|0){c[o>>2]=c[d>>2];c[o+4>>2]=c[d+4>>2];c[o+8>>2]=c[d+8>>2];c[o+12>>2]=c[d+12>>2];b=o+32|0;d=d+16|0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];f=+h[o>>3];h[o+16>>3]=f;h[o+24>>3]=+h[o+40>>3];h[o+48>>3]=+h[b>>3];g=+h[o+8>>3];h[o+56>>3]=g;if(e<<24>>24){sr(a,77289,i);b=0;while(1){if((b|0)==4)break;u=+h[o+(b<<4)+8>>3];h[j>>3]=+h[o+(b<<4)>>3];h[j+8>>3]=u;sr(a,77292,j);b=b+1|0}h[m>>3]=f;h[m+8>>3]=g;sr(a,77292,m);m=c[p>>2]|0;c[n>>2]=4;c[n+4>>2]=m;sr(a,77299,n)}sr(a,77289,k);b=0;while(1){if((b|0)==4)break;u=+h[o+(b<<4)+8>>3];h[q>>3]=+h[o+(b<<4)>>3];h[q+8>>3]=u;sr(a,77292,q);b=b+1|0}h[r>>3]=f;h[r+8>>3]=g;sr(a,77292,r);r=c[p>>2]|0;c[s>>2]=4;c[s+4>>2]=r;sr(a,77314,s)}l=t;return}function wf(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0.0;o=l;l=l+112|0;n=o+24|0;m=o+16|0;k=o;i=o+28|0;if(!b)ma(96061,77249,153,77330);if(!d)ma(96091,77249,154,77330);if(!(c[d+8>>2]|0))ma(96094,77249,155,77330);j=d+52|0;if(c[j>>2]|0){f=d+60|0;g=c[f>>2]|0;if((g|0)==84)g=18;else{gb[g&127](d);c[j>>2]=0;c[f>>2]=0;c[d+56>>2]=0;g=10}}else g=10;do if((g|0)==10){if(!((Mr(d)|0)<<24>>24))break;f=zN(c[d+20>>2]|0)|0;if((c[d+24>>2]&-2|0)==6){_L(f,i)|0;i=c[i+36>>2]|0;c[d+56>>2]=i;f=pJ(0,i,1,1,f,0)|0;c[j>>2]=f;a[d+16>>0]=1}else f=c[j>>2]|0;if(f|0)c[d+60>>2]=84;Nr(d);if(c[j>>2]|0)g=18}while(0);if((g|0)==18){p=+h[e+8>>3]-+(c[d+36>>2]|0);h[k>>3]=+h[e>>3]-+(c[d+32>>2]|0);h[k+8>>3]=p;sr(b,77348,k);if(!(a[d+16>>0]|0)){c[m>>2]=c[d+12>>2];sr(b,77379,m)}else fy(b,d);sr(b,77394,n)}l=o;return}function xf(a){a=a|0;nJ(c[a+52>>2]|0,c[a+56>>2]|0)|0;return}function yf(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;g=l;l=l+80|0;f=g+48|0;if(!a)ma(96061,77249,121,77404);e=c[a+16>>2]|0;if(!e)ma(84921,77249,123,77404);if(!b)ma(96091,77249,124,77404);d=b+8|0;if(!(c[d>>2]|0))ma(96094,77249,125,77404);if(!(c[e+8>>2]|0))ma(123690,77249,128,77404);else{sr(a,77424,g);sr(a,77433,g+8|0);sr(a,77460,g+16|0);sr(a,77485,g+24|0);sr(a,77514,g+32|0);sr(a,77542,g+40|0);c[f>>2]=c[d>>2];sr(a,77549,f);sr(a,77588,g+56|0);sr(a,95830,g+64|0);l=g;return}}function zf(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0.0;i=l;l=l+128|0;g=i+80|0;f=i;if(!a)ma(96061,77249,97,77593);if(!b)ma(96091,77249,98,77593);e=c[b+8>>2]|0;if(!e)ma(96094,77249,99,77593);else{m=+h[d>>3];j=~~(m+(m>=0.0?.5:-.5));m=+h[d+8>>3];b=~~(m+(m>=0.0?.5:-.5));m=+h[d+16>>3];k=~~(m+(m>=0.0?.5:-.5));m=+h[d+24>>3];d=~~(m+(m>=0.0?.5:-.5));c[f>>2]=2;c[f+4>>2]=5;c[f+8>>2]=0;c[f+12>>2]=0;c[f+16>>2]=0;c[f+20>>2]=-1;c[f+24>>2]=1;c[f+28>>2]=-1;c[f+32>>2]=0;h[f+40>>3]=0.0;c[f+48>>2]=0;c[f+52>>2]=0;c[f+56>>2]=0;c[f+60>>2]=0;c[f+64>>2]=0;c[f+68>>2]=5;c[f+72>>2]=0;c[f+76>>2]=e;sr(a,77612,f);c[g>>2]=j;c[g+4>>2]=b;c[g+8>>2]=j;c[g+12>>2]=d;c[g+16>>2]=k;c[g+20>>2]=d;c[g+24>>2]=k;c[g+28>>2]=b;c[g+32>>2]=j;c[g+36>>2]=b;sr(a,77670,g);l=i;return}}function Af(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0.0,j=0.0,k=0,m=0,n=0,o=0;o=l;l=l+96|0;n=o+56|0;m=o+32|0;k=o;i=+h[d>>3];j=+h[d+16>>3]-i;f=+h[d+24>>3];g=f-+h[d+8>>3];if(!a)ma(96061,77249,53,77702);if(!b)ma(96091,77249,54,77702);e=b+8|0;if(!(c[e>>2]|0))ma(96094,77249,55,77702);mr(a,77721)|0;mr(a,c[e>>2]|0)|0;e=a+360|0;f=-f;if(!(c[e>>2]|0)){h[n>>3]=j;h[n+8>>3]=g;h[n+16>>3]=i;h[n+24>>3]=f;sr(a,77850,n)}else{h[k>>3]=g;h[k+8>>3]=j;h[k+16>>3]=i;h[k+24>>3]=f;sr(a,77741,k);c[m>>2]=c[e>>2];h[m+8>>3]=i;h[m+16>>3]=f;sr(a,77820,m)}mr(a,77929)|0;l=o;return}function Bf(a){a=a|0;var b=0,c=0;b=co(a)|0;while(1){if(!b)break;Cf(b);b=eo(a,b)|0}c=co(a)|0;while(1){if(!c)break;b=Pm(a,c)|0;while(1){if(!b)break;Df(b);b=Rm(a,b)|0}c=eo(a,c)|0}return}function Cf(a){a=a|0;var b=0,d=0;No(a,122241,304,1)|0;WA(a);KB(a,c[(c[(ro(a)|0)+16>>2]|0)+116>>2]&1);a=a+16|0;c[(c[a>>2]|0)+176>>2]=0;b=vw(20)|0;d=c[a>>2]|0;c[d+172>>2]=b;c[d+184>>2]=0;d=vw(20)|0;b=c[a>>2]|0;c[b+180>>2]=d;c[b+200>>2]=0;b=vw(12)|0;d=c[a>>2]|0;c[d+196>>2]=b;c[d+192>>2]=0;d=vw(12)|0;b=c[a>>2]|0;c[b+188>>2]=d;c[b+208>>2]=0;b=vw(12)|0;a=c[a>>2]|0;c[a+204>>2]=b;c[a+216>>2]=1;return}function Df(d){d=d|0;var e=0,f=0,g=0,h=0,i=0;No(d,122254,176,1)|0;XA(d)|0;h=DA(d,c[42218]|0,1,0)|0;g=d+16|0;c[(c[g>>2]|0)+156>>2]=h;h=FA(c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0,c[42212]|0,174181)|0;i=FA(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0,c[42212]|0,174181)|0;e=c[g>>2]|0;f=e+154|0;b[f>>1]=1;b[e+168>>1]=1;if((h|0)==(i|0)&(a[h>>0]|0)!=0){b[f>>1]=1e3;i=e+156|0;c[i>>2]=(c[i>>2]|0)*100}if(zk(d)|0){i=c[g>>2]|0;b[i+154>>1]=0;c[i+156>>2]=0}i=(DA(d,c[42231]|0,0,0)|0)&255;a[(c[g>>2]|0)+152>>0]=i;i=(DA(d,c[42219]|0,1,0)|0)&65535;b[(c[g>>2]|0)+170>>1]=i;return}function Ef(a){a=a|0;var b=0,d=0;Ff(c[(c[a+16>>2]|0)+192>>2]|0);d=co(a)|0;while(1){if(!d)break;b=Pm(a,d)|0;while(1){if(!b)break;rB(b);b=Rm(a,b)|0}Gf(d);d=eo(a,d)|0}Hf(a);return}function Ff(b){b=b|0;var d=0,e=0,f=0,g=0;while(1){if(!b)break;f=b+16|0;g=c[(c[f>>2]|0)+164>>2]|0;If(b);d=c[f>>2]|0;if((a[d+156>>0]|0)!=1){b=g;continue}e=c[d+180>>2]|0;if(e){_I(e);d=c[f>>2]|0}e=c[d+172>>2]|0;if(e){_I(e);d=c[f>>2]|0}_I(d);_I(b);b=g}return}function Gf(a){a=a|0;var b=0,d=0,e=0;e=a+16|0;b=c[e>>2]|0;d=c[b+172>>2]|0;if(d){_I(d);b=c[e>>2]|0}d=c[b+180>>2]|0;if(d){_I(d);b=c[e>>2]|0}d=c[b+188>>2]|0;if(d){_I(d);b=c[e>>2]|0}d=c[b+196>>2]|0;if(d){_I(d);b=c[e>>2]|0}d=c[b+204>>2]|0;if(d){_I(d);b=c[e>>2]|0}ow(c[b+104>>2]|0);ow(c[(c[e>>2]|0)+108>>2]|0);b=c[(c[e>>2]|0)+8>>2]|0;if(b|0)gb[c[(c[b+4>>2]|0)+4>>2]&127](a);Po(a,122241)|0;return}function Hf(a){a=a|0;var d=0,e=0,f=0;d=Jp(a)|0;while(1){if(!d)break;Hf(d);d=Kp(d)|0}if(No(a,122277,0,1)|0){f=a+16|0;d=c[f>>2]|0;e=c[d+184>>2]|0;if(e){_I(e);d=c[f>>2]|0}e=c[d+268>>2]|0;if(e){_I(e);d=c[f>>2]|0}e=c[d+216>>2]|0;if(e){_I(e);d=c[f>>2]|0}do if(c[d+196>>2]|0){e=b[d+236>>1]|0;while(1){if((e|0)>(b[d+238>>1]|0))break;_I(c[(c[d+196>>2]|0)+(e<<6)+12>>2]|0);e=e+1|0;d=c[f>>2]|0}e=c[d+196>>2]|0;if((b[d+236>>1]|0)==-1){_I(e+-64|0);break}else{_I(e);break}}while(0);if((so(a)|0)!=(a|0)){ow(c[(c[f>>2]|0)+12>>2]|0);Po(a,122277)|0}}return}function If(a){a=a|0;var b=0,d=0,e=0;e=a+16|0;d=c[e>>2]|0;b=c[d+176>>2]|0;while(1){a=b+-1|0;if((b|0)<=0)break;b=c[(c[d+172>>2]|0)+(a<<2)>>2]|0;Xg(b);_I(c[b+16>>2]|0);_I(b);b=a;d=c[e>>2]|0}b=c[d+184>>2]|0;while(1){a=b+-1|0;if((b|0)<=0)break;b=c[(c[(c[e>>2]|0)+180>>2]|0)+(a<<2)>>2]|0;Xg(b);_I(c[b+16>>2]|0);_I(b);b=a}return}function Jf(a){a=a|0;if(mn(a)|0)Kf(a);$x(a);return}function Kf(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;h=l;l=l+48|0;g=h+32|0;f=h;b=et(a,-1,8)|0;d=ft(a,0,f)|0;dt(a,2,8,f)|0;d=(d|0)==0;e=(b|0)<0;if(e&d)Lf(a);else{if(d)c[f+16>>2]=3;else b=e?8:b;c[f+8>>2]=b;c[f+20>>2]=0;e=Bs(a,g,0)|0;b=c[g>>2]|0;do if((b|0)==1){Lf(a);b=0}else{if(c[(c[(c[a+16>>2]|0)+8>>2]|0)+84>>2]|0){Lf(a);b=0;break}c[f+12>>2]=1;d=0;while(1){if((d|0)>=(b|0))break;b=c[e+(d<<2)>>2]|0;Mf(b,a);Lf(b);d=d+1|0;b=c[g>>2]|0}Nf(a);ct(c[g>>2]|0,e,a,f)|0;Of(a);Pf(c[g>>2]|0,e,a);b=0}while(0);while(1){if((b|0)>=(c[g>>2]|0))break;f=e+(b<<2)|0;_I(c[(c[(c[f>>2]|0)+16>>2]|0)+8>>2]|0);Hf(c[f>>2]|0);qo(a,c[f>>2]|0)|0;b=b+1|0}_I(e)}l=h;return}function Lf(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;m=l;l=l+48|0;k=m+40|0;e=m;i=DA(a,ym(a,0,77944,0)|0,-1,1)|0;IB(a,10);d=yk(a,e)|0;Rf(a,a);Bf(a);f=(i|0)==1;g=e+32|0;h=(i|0)==2;i=(i|0)==3;j=e+28|0;e=e+24|0;while(1){kj(a,d);if(f){d=3;break}if(c[g>>2]|0){_l(0,77950,k)|0;c[e>>2]=0;d=0}uh(a,(d|0)!=0&1);if(h){d=7;break}xi(a,d);if(i){d=9;break}n=(c[j>>2]|0)+-1|0;c[j>>2]=n;if(!((n|0)!=0&(c[e>>2]|0)!=0)){d=11;break}}if((d|0)==3)Sf(a,1);else if((d|0)==7)Sf(a,2);else if((d|0)==9)Sf(a,2);else if((d|0)==11){if(b[(c[a+16>>2]|0)+136>>1]&16)Tf(a);ek(a);Xf(a);if((IA(Im(a,78041)|0)|0)<<24>>24)_k(a)}l=m;return}function Mf(b,d){b=b|0;d=d|0;var e=0,f=0;No(b,122277,280,1)|0;e=vw(96)|0;b=c[b+16>>2]|0;c[b+8>>2]=e;d=c[d+16>>2]|0;f=c[d+8>>2]|0;h[e>>3]=+h[f>>3];h[e+24>>3]=+h[f+24>>3];c[b+144>>2]=c[d+144>>2];a[b+115>>0]=a[d+115>>0]|0;c[b+116>>2]=c[d+116>>2];c[b+248>>2]=c[d+248>>2];c[b+252>>2]=c[d+252>>2];c[b+244>>2]=c[d+244>>2];return}function Nf(a){a=a|0;var b=0,d=0,e=0;b=vw((mn(a)|0)<<4)|0;d=co(a)|0;while(1){if(!d)break;e=c[d+16>>2]|0;c[e+132>>2]=b;h[b>>3]=+h[e+16>>3]*.013888888888888888;h[b+8>>3]=+h[e+24>>3]*.013888888888888888;b=b+16|0;d=eo(a,d)|0}return}function Of(a){a=a|0;var b=0,d=0,e=0,f=0;e=c[(c[(co(a)|0)+16>>2]|0)+132>>2]|0;b=e;d=co(a)|0;while(1){if(!d)break;f=c[d+16>>2]|0;c[f+132>>2]=0;h[f+16>>3]=+h[b>>3]*72.0;h[f+24>>3]=+h[b+8>>3]*72.0;b=b+16|0;d=eo(a,d)|0}_I(e);return}function Pf(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;e=0;f=0;while(1){if((e|0)>=(a|0))break;i=(c[(c[(c[b+(e<<2)>>2]|0)+16>>2]|0)+180>>2]|0)+f|0;e=e+1|0;f=i}i=d+16|0;c[(c[i>>2]|0)+180>>2]=f;g=vw((f<<2)+4|0)|0;c[(c[i>>2]|0)+184>>2]=g;g=0;e=1;while(1){if((g|0)>=(a|0))break;h=(c[b+(g<<2)>>2]|0)+16|0;f=1;while(1){d=c[h>>2]|0;if((f|0)>(c[d+180>>2]|0))break;d=As(c[(c[d+184>>2]|0)+(f<<2)>>2]|0)|0;c[(c[(c[i>>2]|0)+184>>2]|0)+(e<<2)>>2]=d;Qf(c[(c[(c[h>>2]|0)+184>>2]|0)+(f<<2)>>2]|0,d);f=f+1|0;e=e+1|0}g=g+1|0}return}function Qf(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;No(d,122277,280,1)|0;g=d+16|0;d=(c[g>>2]|0)+16|0;f=b+16|0;b=(c[f>>2]|0)+16|0;c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];c[d+16>>2]=c[b+16>>2];c[d+20>>2]=c[b+20>>2];c[d+24>>2]=c[b+24>>2];c[d+28>>2]=c[b+28>>2];b=c[f>>2]|0;d=c[g>>2]|0;a[d+275>>0]=a[b+275>>0]|0;d=d+48|0;b=b+48|0;e=d+64|0;do{c[d>>2]=c[b>>2];d=d+4|0;b=b+4|0}while((d|0)<(e|0));b=c[(c[f>>2]|0)+180>>2]|0;c[(c[g>>2]|0)+180>>2]=b;d=vw((b<<2)+4|0)|0;c[(c[g>>2]|0)+184>>2]=d;d=1;while(1){e=c[f>>2]|0;if((d|0)>(b|0))break;e=As(c[(c[e+184>>2]|0)+(d<<2)>>2]|0)|0;c[(c[(c[g>>2]|0)+184>>2]|0)+(d<<2)>>2]=e;Qf(c[(c[(c[f>>2]|0)+184>>2]|0)+(d<<2)>>2]|0,e);d=d+1|0}f=e+12|0;c[(c[g>>2]|0)+12>>2]=c[f>>2];c[f>>2]=0;return}function Rf(a,b){a=a|0;b=b|0;if((so(a)|0)!=(a|0))No(a,122277,280,1)|0;if((a|0)==(b|0))c[(c[(so(a)|0)+16>>2]|0)+188>>2]=a;a=Jp(a)|0;while(1){if(!a)break;Rf(a,b);a=Kp(a)|0}return}function Sf(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+1040|0;k=m+8|0;j=m;e=m+16|0;f=ym(a,1,80018,174181)|0;g=ym(a,1,78084,174181)|0;h=(b|0)>0;d=(b|0)==1;b=co(a)|0;while(1){if(!b)break;if(h?(i=b+16|0,c[j>>2]=c[(c[i>>2]|0)+232>>2],pL(e,122187,j)|0,Cm(b,f,e)|0,!d):0){c[k>>2]=c[(c[i>>2]|0)+236>>2];pL(e,122187,k)|0;Cm(b,g,e)|0}b=eo(a,b)|0}l=m;return}function Tf(a){a=a|0;var b=0,c=0,d=0;c=Ip(a,79522,0)|0;if(c|0){b=co(c)|0;while(1){if(!b)break;d=eo(c,b)|0;dh(a,b);Uf(a,b);Gf(b);po(a,b)|0;b=d}Mp(a,c)|0}return}function Uf(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0;j=c[(c[b+16>>2]|0)+232>>2]|0;i=a+16|0;a=c[(c[i>>2]|0)+196>>2]|0;d=c[a+(j<<6)>>2]|0;h=a+(j<<6)+4|0;g=0;e=0;while(1){if((e|0)>=(d|0)){f=7;break}f=c[(c[h>>2]|0)+(e<<2)>>2]|0;e=e+1|0;if((f|0)==(b|0)){f=4;break}else g=f}if((f|0)==4){while(1){if((e|0)>=(d|0))break;f=c[a+(j<<6)+4>>2]|0;c[f+(e+-1<<2)>>2]=c[f+(e<<2)>>2];f=c[(c[i>>2]|0)+196>>2]|0;e=e+1|0;d=c[f+(j<<6)>>2]|0;a=f;f=4}c[a+(j<<6)>>2]=d+-1}else if((f|0)==7?(g|0)!=(b|0):0)ma(78050,78057,248,78067);return}function Vf(a){a=a|0;return c[(c[(so(a)|0)+16>>2]|0)+188>>2]|0}function Wf(b,c){b=b|0;c=c|0;var d=0;d=a[b+28>>0]|0;if(a[c+28>>0]|0)if(d<<24>>24){d=~~(+h[b>>3]-+h[c>>3]);if(!d)d=~~(+h[b+8>>3]-+h[c+8>>3])}else d=-1;else d=d<<24>>24!=0&1;return d|0}function Xf(a){a=a|0;Yf(a,1);return}function Yf(d,e){d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0.0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0,T=0,U=0,V=0,W=0,X=0,Y=0,Z=0,_=0.0;Z=l;l=l+656|0;O=Z+592|0;N=Z+552|0;f=Z+544|0;T=Z+96|0;U=Z;Y=Z+632|0;V=d+16|0;X=b[(c[V>>2]|0)+136>>1]&14;P=X&65535;Q=T+16|0;c[Q>>2]=Z+368;R=U+16|0;c[R>>2]=Z+192;do if(X<<16>>16){S=X<<16>>16==4;do if(S){Zf(d);if(!(a[(c[(c[d+60>>2]|0)+16>>2]|0)+113>>0]&1))A=9;else{_l(0,78090,f)|0;A=9}}else if(X<<16>>16==8){Zf(d);if(!(a[(c[(c[d+60>>2]|0)+16>>2]|0)+113>>0]&1)){LB(d,0);n=0;m=0;k=0;break}else{_f(d);LB(d,1);n=0;m=0;k=0;break}}else A=9;while(0);if((A|0)==9){Yk(d);if(ly()|0)break;W=vw(96)|0;K=c[(c[V>>2]|0)+248>>2]|0;c[Y+8>>2]=(K|0)/4|0;c[Y+12>>2]=K;k=vw(512)|0;F=Y+4|0;c[F>>2]=0;c[Y>>2]=0;j=c[V>>2]|0;C=b[j+236>>1]|0;D=0;L=0;M=k;E=k;m=k;n=k;o=k;H=0;I=0;a:while(1){if((C|0)>(b[j+238>>1]|0))break;p=c[j+196>>2]|0;i=c[p+(C<<6)>>2]|0;G=i+D|0;g=c[p+(C<<6)+4>>2]|0;f=c[g>>2]|0;if(!f)f=H;else{_=+(H|0);f=c[f+16>>2]|0;y=+h[f+16>>3]-+h[f+88>>3];f=~~(y>_?_:y)}if((i|0)!=0?(J=c[g+(i+-1<<2)>>2]|0,(J|0)!=0):0){y=+(I|0);g=c[J+16>>2]|0;_=+h[g+96>>3]+ +h[g+16>>3];g=~~(_<y?y:_)}else g=I;B=f+-16|0;z=g+16|0;x=0;t=L;r=M;q=j;u=E;v=m;g=k;f=p;while(1){if((x|0)>=(i|0))break;k=c[(c[f+(C<<6)+4>>2]|0)+(x<<2)>>2]|0;w=k+16|0;f=c[w>>2]|0;i=c[f+112>>2]|0;if(i){i=i+16|0;j=c[(c[i>>2]|0)+96>>2]|0;if(!j){A=21;break a}s=j+56|0;f=f+16|0;c[s>>2]=c[f>>2];c[s+4>>2]=c[f+4>>2];c[s+8>>2]=c[f+8>>2];c[s+12>>2]=c[f+12>>2];a[(c[(c[i>>2]|0)+96>>2]|0)+81>>0]=1;f=c[w>>2]|0}if((a[f+156>>0]|0)!=0?($a[c[17228>>2]&31](k)|0)<<24>>24==0:0){q=t;f=r;j=u;k=v;i=o}else{s=0;q=t;j=u;k=v;A=25}b:do if((A|0)==25){while(1){A=0;p=c[w>>2]|0;i=c[(c[p+180>>2]|0)+(s<<2)>>2]|0;if(!i)break;switch(a[(c[i+16>>2]|0)+112>>0]|0){case 6:case 4:{f=q;i=r;break}default:{$f(i,1,16,64);f=q+1|0;c[r+(q<<2)>>2]=i;if(!(f&127)){g=yw(g,(q<<2)+516|0)|0;i=g;j=g;k=g;n=g;o=g}else i=r}}s=s+1|0;q=f;r=i;A=25}f=c[p+188>>2]|0;c:do if(!f)i=o;else{s=0;i=o;while(1){f=c[f+(s<<2)>>2]|0;if(!f)break c;$f(f,2,0,128);o=q+1|0;c[r+(q<<2)>>2]=f;if(!(o&127)){g=yw(i,(q<<2)+516|0)|0;f=g;j=g;k=g;n=g;i=g}else f=r;p=c[w>>2]|0;s=s+1|0;q=o;r=f;f=c[p+188>>2]|0}}while(0);f=c[p+204>>2]|0;if(!f)f=r;else{if(!(a[p+156>>0]|0)){v=p+96|0;_=+h[v>>3];s=p+240|0;h[v>>3]=+h[s>>3];h[s>>3]=_;s=0;p=r}else{s=0;p=r}while(1){f=c[f+(s<<2)>>2]|0;if(!f){f=p;break b}$f(f,0,0,128);o=q+1|0;c[p+(q<<2)>>2]=f;if(!(o&127)){g=yw(n,(q<<2)+516|0)|0;f=g;j=g;k=g;n=g;i=g}else f=p;s=s+1|0;q=o;p=f;f=c[(c[w>>2]|0)+204>>2]|0}}}while(0);u=c[V>>2]|0;w=c[u+196>>2]|0;x=x+1|0;t=q;r=f;q=u;u=j;v=k;o=i;i=c[w+(C<<6)>>2]|0;f=w}C=C+1|0;D=G;L=t;M=r;E=u;j=q;m=v;k=g;H=B;I=z}if((A|0)==21)ma(78158,78171,313,78184);c[Y>>2]=H;c[F>>2]=I;rL(E,L,4,10);c[W+84>>2]=vw((D<<5)+11520|0)|0;c[Y+16>>2]=vw(C<<5)|0;d:do if(X<<16>>16==2){f=(c[V>>2]|0)+192|0;while(1){g=c[f>>2]|0;if(!g)break d;i=g+16|0;f=c[i>>2]|0;if((a[f+156>>0]|0)==1?(c[f+104>>2]|0)!=0:0){bg(g);f=c[i>>2]|0}f=f+164|0}}while(0);z=U+48|0;A=U+-48|0;B=T+48|0;C=T+-48|0;y=+(K|0);x=0;e:while(1){if((x|0)>=(L|0))break;v=M+(x<<2)|0;r=c[v>>2]|0;s=cg(r)|0;t=r+16|0;g=c[t>>2]|0;if(!(a[g+44>>0]|0)){g=(a[g+84>>0]|0)==0?s:r;f=g;g=c[g+16>>2]|0}else f=r;i=f+16|0;if(c[g+164>>2]&32){g=c[Q>>2]|0;TN(g|0,c[i>>2]|0,176)|0;n=T;o=f;p=n+48|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));c[Q>>2]=g;o=c[f>>2]&3;n=c[T>>2]&3;c[((n|0)==3?T:B)+40>>2]=c[((o|0)==2?f:f+-48|0)+40>>2];c[((n|0)==2?T:C)+40>>2]=c[((o|0)==3?f:f+48|0)+40>>2];n=g+16|0;o=(c[i>>2]|0)+56|0;p=n+40|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));n=g+56|0;o=(c[i>>2]|0)+16|0;p=n+40|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));a[g+112>>0]=1;c[g+116>>2]=f;f=T}q=f+16|0;w=1;f=x;while(1){u=f+1|0;if((u|0)>=(L|0))break;j=M+(u<<2)|0;f=c[j>>2]|0;if((s|0)!=(cg(f)|0))break;if(!(a[(c[t>>2]|0)+113>>0]|0)){k=f+16|0;g=c[k>>2]|0;if(!(a[g+44>>0]|0)){g=(a[g+84>>0]|0)==0?s:f;f=g;g=c[g+16>>2]|0}i=f+16|0;if(c[g+164>>2]&32){g=c[R>>2]|0;TN(g|0,c[i>>2]|0,176)|0;n=U;o=f;p=n+48|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));c[R>>2]=g;o=c[f>>2]&3;n=c[U>>2]&3;c[((n|0)==3?U:z)+40>>2]=c[((o|0)==2?f:f+-48|0)+40>>2];c[((n|0)==2?U:A)+40>>2]=c[((o|0)==3?f:f+48|0)+40>>2];n=g+16|0;o=(c[i>>2]|0)+56|0;p=n+40|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));n=g+56|0;o=(c[i>>2]|0)+16|0;p=n+40|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));a[g+112>>0]=1;c[g+116>>2]=f}i=c[q>>2]|0;f=g+16|0;n=N;o=i+16|0;p=n+40|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));n=O;o=f;p=n+40|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));if(Wf(N,O)|0)break;f=g+56|0;n=N;o=i+56|0;p=n+40|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));n=O;o=f;p=n+40|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));if(Wf(N,O)|0)break;K=c[t>>2]|0;if((c[K+164>>2]&15|0)==2?(c[K+96>>2]|0)!=(c[(c[k>>2]|0)+96>>2]|0):0)break;if(c[(c[(c[j>>2]|0)+16>>2]|0)+164>>2]&64|0)break}w=w+1|0;f=u}if(S){if((w|0)==1)f=O;else f=vw(w<<2)|0;c[f>>2]=cg(c[v>>2]|0)|0;g=1;while(1){if((g|0)>=(w|0))break;c[f+(g<<2)>>2]=c[v+(g<<2)>>2];g=g+1|0}uy(d,f,w,P,17224);if((w|0)>1)_I(f);x=u;continue}f=c[r>>2]&3;K=c[((f|0)==3?r:r+48|0)+40>>2]|0;f=c[((f|0)==2?r:r+-48|0)+40>>2]|0;g=c[K+16>>2]|0;i=c[g+232>>2]|0;if((K|0)!=(f|0))if((i|0)==(c[(c[f+16>>2]|0)+232>>2]|0)){dg(d,Y,W,M,x,w,P);x=u;continue}else{eg(d,Y,W,M,x,w,P);x=u;continue}f=c[V>>2]|0;do if((i|0)==(b[f+238>>1]|0))if((i|0)>0){f=~~(+h[(c[(c[c[(c[f+196>>2]|0)+(i+-1<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]-+h[g+24>>3]);break}else{f=~~+h[g+80>>3];break}else if((i|0)==(b[f+236>>1]|0)){f=~~(+h[g+24>>3]-+h[(c[(c[c[(c[f+196>>2]|0)+(i+1<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]);break}else{f=c[f+196>>2]|0;_=+h[g+24>>3];K=~~(+h[(c[(c[c[f+(i+-1<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]-_);f=~~(_-+h[(c[(c[c[f+(i+1<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]);f=(K|0)<(f|0)?K:f;break}while(0);Rz(W,M,x,w,y,+((f|0)/2|0|0),17224);f=0;while(1){if((f|0)>=(w|0)){x=u;continue e}g=c[(c[(c[M+(f+x<<2)>>2]|0)+16>>2]|0)+96>>2]|0;if(g|0)bB(d,g);f=f+1|0}}f=(c[V>>2]|0)+192|0;while(1){g=c[f>>2]|0;if(!g)break;i=g+16|0;f=c[i>>2]|0;if((a[f+156>>0]|0)==1?(c[f+104>>2]|0)!=0:0){bg(g);bB(d,c[(c[i>>2]|0)+104>>2]|0);f=c[i>>2]|0}f=f+164|0}if(!e){n=W;k=W}else{fg(d);n=W;k=W}}f:do if((c[42241]|0)!=0|(c[42242]|0)!=0?(c[42247]|0)!=0|(c[42246]|0)!=0:0){j=co(d)|0;while(1){if(!j)break f;g:do if(c[42241]|0){f=Sm(d,j)|0;while(1){if(!f)break g;g=f+-48|0;i=(c[f>>2]&3|0)==2?f:g;if(c[(c[i+16>>2]|0)+100>>2]|0){Zz(i,1)|0;bB(d,c[(c[((c[f>>2]&3|0)==2?f:g)+16>>2]|0)+100>>2]|0)}f=Tm(d,f)|0}}while(0);h:do if(c[42242]|0){f=Pm(d,j)|0;while(1){if(!f)break h;g=f+16|0;if(c[(c[g>>2]|0)+104>>2]|0?Zz(f,0)|0:0)bB(d,c[(c[g>>2]|0)+104>>2]|0);f=Rm(d,f)|0}}while(0);j=eo(d,j)|0}}while(0);switch(X&15){case 4:case 8:break;default:{_I(m);_I(c[n+84>>2]|0);_I(k);_I(c[Y+16>>2]|0);my()}}c[42181]=1;c[42182]=1}while(0);l=Z;return}function Zf(a){a=a|0;var b=0,d=0,e=0.0,f=0;b=co(a)|0;while(1){if(!b)break;d=c[b+16>>2]|0;if(c[d+204>>2]|0){f=d+96|0;e=+h[f>>3];d=d+240|0;h[f>>3]=+h[d>>3];h[d>>3]=e}b=eo(a,b)|0}return}function _f(b){b=b|0;var d=0,e=0,f=0,g=0;d=(c[b+16>>2]|0)+192|0;a:while(1){f=c[d>>2]|0;if(!f){d=12;break}g=f+16|0;d=c[g>>2]|0;do if((a[d+156>>0]|0)==1){e=c[d+112>>2]|0;if(!e){e=c[d+104>>2]|0;if(!e)break;bg(f);d=e}else{e=c[(c[e+16>>2]|0)+96>>2]|0;if(!e){d=6;break a}f=e+56|0;d=d+16|0;c[f>>2]=c[d>>2];c[f+4>>2]=c[d+4>>2];c[f+8>>2]=c[d+8>>2];c[f+12>>2]=c[d+12>>2];a[e+81>>0]=1;d=e}bB(b,d);d=c[g>>2]|0}while(0);d=d+164|0}if((d|0)==6)ma(78358,78171,234,78377);else if((d|0)==12)return}function $f(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0;do if(!d){g=c[b>>2]&3;d=c[((g|0)==3?b:b+48|0)+40>>2]|0;g=c[((g|0)==2?b:b+-48|0)+40>>2]|0;if((d|0)!=(g|0)){d=(c[(c[d+16>>2]|0)+232>>2]|0)==(c[(c[g+16>>2]|0)+232>>2]|0)?2:1;break}d=c[b+16>>2]|0;if(!(a[d+44>>0]|0))d=(a[d+84>>0]|0)==0?8:4;else d=4}while(0);a:do if(!e)switch(d|0){case 1:{e=c[b>>2]&3;e=(c[(c[(c[((e|0)==3?b:b+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)<(c[(c[(c[((e|0)==2?b:b+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)?16:32;break a}case 2:{e=c[b>>2]&3;e=(c[(c[(c[((e|0)==3?b:b+48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)<(c[(c[(c[((e|0)==2?b:b+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)?16:32;break a}default:{e=16;break a}}while(0);c[(c[b+16>>2]|0)+164>>2]=d|f|e;return}function ag(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0;D=l;l=l+624|0;z=D+584|0;y=D+544|0;s=D+368|0;e=D+192|0;t=D+96|0;v=D;u=t+16|0;c[u>>2]=s;w=v+16|0;c[w>>2]=e;C=c[b>>2]|0;B=c[d>>2]|0;x=C+16|0;q=c[x>>2]|0;d=c[q+164>>2]|0;f=d&15;A=B+16|0;b=c[A>>2]|0;g=c[b+164>>2]&15;do if((g|0)==(f|0)){p=cg(C)|0;r=cg(B)|0;n=c[p>>2]|0;g=n&3;f=c[(c[((g|0)==3?p:p+48|0)+40>>2]|0)+16>>2]|0;g=c[(c[((g|0)==2?p:p+-48|0)+40>>2]|0)+16>>2]|0;i=(c[f+232>>2]|0)-(c[g+232>>2]|0)|0;o=c[r>>2]|0;m=o&3;k=c[(c[((m|0)==3?r:r+48|0)+40>>2]|0)+16>>2]|0;m=c[(c[((m|0)==2?r:r+-48|0)+40>>2]|0)+16>>2]|0;j=(c[k+232>>2]|0)-(c[m+232>>2]|0)|0;i=(i|0)>-1?i:0-i|0;j=(j|0)>-1?j:0-j|0;if((i|0)!=(j|0)){b=i-j|0;break}g=~~(+h[f+16>>3]-+h[g+16>>3]);g=(g|0)>-1?g:0-g|0;f=~~(+h[k+16>>3]-+h[m+16>>3]);f=(f|0)>-1?f:0-f|0;if((g|0)!=(f|0)){b=g-f|0;break}g=n>>>4;f=o>>>4;if((g|0)!=(f|0)){b=g-f|0;break}if(!(a[q+44>>0]|0)){d=(a[q+84>>0]|0)==0?p:C;g=d;d=c[(c[d+16>>2]|0)+164>>2]|0}else g=C;f=g+16|0;if(d&32){TN(s|0,c[f>>2]|0,176)|0;i=t;j=g;k=i+48|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));c[u>>2]=s;j=c[g>>2]&3;i=c[t>>2]&3;c[((i|0)==3?t:t+48|0)+40>>2]=c[((j|0)==2?g:g+-48|0)+40>>2];c[((i|0)==2?t:t+-48|0)+40>>2]=c[((j|0)==3?g:g+48|0)+40>>2];i=s+16|0;j=(c[f>>2]|0)+56|0;k=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));i=s+56|0;j=(c[f>>2]|0)+16|0;k=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));a[s+112>>0]=1;c[s+116>>2]=g;g=t;b=c[A>>2]|0}if(!(a[b+44>>0]|0)){b=(a[b+84>>0]|0)==0?r:B;f=b;b=c[b+16>>2]|0}else f=B;d=f+16|0;if(!(c[b+164>>2]&32))e=b;else{TN(e|0,c[d>>2]|0,176)|0;i=v;j=f;k=i+48|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));c[w>>2]=e;j=c[f>>2]&3;i=c[v>>2]&3;c[((i|0)==3?v:v+48|0)+40>>2]=c[((j|0)==2?f:f+-48|0)+40>>2];c[((i|0)==2?v:v+-48|0)+40>>2]=c[((j|0)==3?f:f+48|0)+40>>2];i=e+16|0;j=(c[d>>2]|0)+56|0;k=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));i=e+56|0;j=(c[d>>2]|0)+16|0;k=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));a[e+112>>0]=1;c[e+116>>2]=f}d=c[g+16>>2]|0;b=e+16|0;i=y;j=d+16|0;k=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));i=z;j=b;k=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));b=Wf(y,z)|0;if(!b){b=e+56|0;i=y;j=d+56|0;k=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));i=z;j=b;k=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));b=Wf(y,z)|0;if(!b){d=c[(c[x>>2]|0)+164>>2]&192;b=c[(c[A>>2]|0)+164>>2]&192;if((d|0)==(b|0)){b=((c[C>>2]|0)>>>4)-((c[B>>2]|0)>>>4)|0;break}else{b=d-b|0;break}}}}else b=g-f|0;while(0);l=D;return b|0}function bg(b){b=b|0;var d=0,e=0,f=0,g=0.0,i=0.0;f=b+16|0;d=c[f>>2]|0;if(c[d+176>>2]|0){d=c[d+180>>2]|0;while(1){d=(c[d>>2]|0)+16|0;e=c[d>>2]|0;if(!(a[e+112>>0]|0))break;else d=e+116|0}e=c[e+96>>2]|0;g=+h[e+24>>3];i=+h[e+32>>3];e=(c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&1|0)!=0;b=c[f>>2]|0;f=c[(c[d>>2]|0)+96>>2]|0;h[f+56>>3]=(e?i:g)*.5+ +h[b+16>>3];h[f+64>>3]=+h[b+24>>3];a[f+81>>0]=1}return}function cg(a){a=a|0;var b=0,d=0;while(1){b=c[a+16>>2]|0;d=c[b+172>>2]|0;if(!d)break;else a=d}while(1){b=c[b+116>>2]|0;if(!b)break;a=b;b=c[b+16>>2]|0}return a|0}function dg(b,d,e,f,g,i,j){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;j=j|0;var k=0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0.0,w=0,x=0,y=0,z=0,A=0,B=0,C=0.0,D=0.0,E=0.0,F=0.0,G=0.0;B=l;l=l+1712|0;x=B+1664|0;s=B+1488|0;t=B+1392|0;A=B+1696|0;y=B+696|0;z=B;p=t+16|0;c[p>>2]=s;q=c[f+(g<<2)>>2]|0;r=q+16|0;k=c[r>>2]|0;u=a[k+113>>0]|0;if(c[k+164>>2]&32){TN(s|0,k|0,176)|0;k=t;n=q;o=k+48|0;do{c[k>>2]=c[n>>2];k=k+4|0;n=n+4|0}while((k|0)<(o|0));c[p>>2]=s;k=c[t>>2]&3;c[((k|0)==3?t:t+48|0)+40>>2]=c[((c[q>>2]&3|0)==2?q:q+-48|0)+40>>2];c[((k|0)==2?t:t+-48|0)+40>>2]=c[((c[q>>2]&3|0)==3?q:q+48|0)+40>>2];k=s+16|0;n=(c[r>>2]|0)+56|0;o=k+40|0;do{c[k>>2]=c[n>>2];k=k+4|0;n=n+4|0}while((k|0)<(o|0));k=s+56|0;n=(c[r>>2]|0)+16|0;o=k+40|0;do{c[k>>2]=c[n>>2];k=k+4|0;n=n+4|0}while((k|0)<(o|0));a[s+112>>0]=1;c[s+116>>2]=q;q=t}k=1;while(1){if((k|0)>=(i|0)){w=6;break}if(!(a[(c[(c[f+(k+g<<2)>>2]|0)+16>>2]|0)+113>>0]|0))k=k+1|0;else{w=7;break}}a:do if((w|0)==6)if(!(u<<24>>24)){k=c[q+16>>2]|0;if(c[k+96>>2]|0){Dg(b,d,e,q,j);break}if((j|0)==2){A=c[q>>2]&3;Eg(c[((A|0)==3?q:q+48|0)+40>>2]|0,c[((A|0)==2?q:q+-48|0)+40>>2]|0,f,g,i,2);break}t=a[k+49>>0]|0;u=a[k+89>>0]|0;if(!(t<<24>>24==1&u<<24>>24!=4)?!(t<<24>>24!=4&u<<24>>24==1):0){p=c[q>>2]&3;o=c[((p|0)==3?q:q+48|0)+40>>2]|0;p=c[((p|0)==2?q:q+-48|0)+40>>2]|0;k=c[o+16>>2]|0;n=c[k+232>>2]|0;if((n|0)>0){u=c[(c[b+16>>2]|0)+196>>2]|0;t=n+~(a[(c[(c[b+60>>2]|0)+16>>2]|0)+113>>0]&1)|0;m=+h[(c[(c[c[u+(t<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]-+h[u+(t<<6)+16>>3]-+h[k+24>>3]-+h[u+(n<<6)+24>>3]}else m=+(c[(c[b+16>>2]|0)+252>>2]|0);C=+(i+1|0);v=+(c[d+12>>2]|0)/C;m=m/C;Gg(b,d,e,o,q,y,1);Gg(b,d,e,p,q,z,0);s=y+52|0;t=z+52|0;p=(j|0)==10;q=e+80|0;k=0;while(1){if((k|0)>=(i|0))break a;r=c[f+(k+g<<2)>>2]|0;o=c[s>>2]|0;n=o+-1|0;G=+h[y+56+(n<<5)>>3];F=+h[y+56+(n<<5)+16>>3];E=+h[y+56+(n<<5)+24>>3];h[16878]=G;h[16879]=E;k=k+1|0;C=+(k|0);D=v*C;h[16880]=F+D;C=E+m*C;h[16881]=C;h[16882]=G;h[16883]=C;n=(c[t>>2]|0)+-1|0;G=+h[z+56+(n<<5)+16>>3];h[16884]=G;h[16885]=C+m;E=+h[z+56+(n<<5)>>3];F=+h[z+56+(n<<5)+24>>3];h[16888]=G;h[16887]=F;h[16886]=E-D;h[16889]=C;n=0;while(1){if((n|0)>=(o|0)){n=0;break}o=y+56+(n<<5)|0;c[x>>2]=c[o>>2];c[x+4>>2]=c[o+4>>2];c[x+8>>2]=c[o+8>>2];c[x+12>>2]=c[o+12>>2];c[x+16>>2]=c[o+16>>2];c[x+20>>2]=c[o+20>>2];c[x+24>>2]=c[o+24>>2];c[x+28>>2]=c[o+28>>2];Lz(e,x);n=n+1|0;o=c[s>>2]|0}while(1){if((n|0)==3)break;j=135024+(n<<5)|0;c[x>>2]=c[j>>2];c[x+4>>2]=c[j+4>>2];c[x+8>>2]=c[j+8>>2];c[x+12>>2]=c[j+12>>2];c[x+16>>2]=c[j+16>>2];c[x+20>>2]=c[j+20>>2];c[x+24>>2]=c[j+24>>2];c[x+28>>2]=c[j+28>>2];Lz(e,x);n=n+1|0}o=c[t>>2]|0;while(1){n=o+-1|0;if((o|0)<=0)break;o=z+56+(n<<5)|0;c[x>>2]=c[o>>2];c[x+4>>2]=c[o+4>>2];c[x+8>>2]=c[o+8>>2];c[x+12>>2]=c[o+12>>2];c[x+16>>2]=c[o+16>>2];c[x+20>>2]=c[o+20>>2];c[x+24>>2]=c[o+24>>2];c[x+28>>2]=c[o+28>>2];Lz(e,x);o=n}if(p)n=ny(e,A)|0;else n=ty(e,A)|0;o=c[A>>2]|0;if(!o)break a;Jz(r,c[((c[r>>2]&3|0)==2?r:r+-48|0)+40>>2]|0,n,o,17224);c[q>>2]=0}}Fg(b,d,e,f,g,i,q,(j|0)==10&1)}else w=7;while(0);if((w|0)==7)Cg(b,f,g,i,q,j);l=B;return}function eg(b,d,e,f,g,i,j){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;j=j|0;var k=0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,P=0,Q=0,R=0,S=0,T=0,U=0,V=0,W=0,X=0,Y=0,Z=0,_=0,$=0,aa=0,ba=0,ca=0;ba=l;l=l+2576|0;S=ba+2528|0;_=ba+2568|0;k=ba+2352|0;n=ba+2176|0;t=ba+1904|0;Y=ba+1808|0;$=ba+1712|0;T=ba+1016|0;U=ba+320|0;V=ba+256|0;X=ba+2564|0;Z=ba+2560|0;z=ba+288|0;A=ba+224|0;L=ba+192|0;M=ba+160|0;N=ba+128|0;P=ba+96|0;Q=ba+64|0;R=ba+32|0;W=ba;s=t+16|0;c[s>>2]=k;o=Y+16|0;c[o>>2]=n;aa=$+16|0;c[aa>>2]=ba+2e3;if(!(c[41920]|0)){c[41920]=ww(32e3)|0;c[41921]=ww(32e3)|0;c[41922]=2e3;c[41923]=2e3}u=c[f+(g<<2)>>2]|0;K=c[u>>2]&3;p=u+48|0;q=u+-48|0;K=(c[(c[(c[((K|0)==3?u:p)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((K|0)==2?u:q)+40>>2]|0)+16>>2]|0)+232>>2]|0)|0;r=u+16|0;if((((K|0)>-1?K:0-K|0)|0)<=1){k=c[r>>2]|0;if(!(c[k+164>>2]&32)){K=u;n=0}else{n=c[s>>2]|0;TN(n|0,k|0,176)|0;w=t;x=u;y=w+48|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));c[s>>2]=n;w=c[t>>2]&3;c[((w|0)==3?t:t+48|0)+40>>2]=c[((c[u>>2]&3|0)==2?u:q)+40>>2];c[((w|0)==2?t:t+-48|0)+40>>2]=c[((c[u>>2]&3|0)==3?u:p)+40>>2];w=n+16|0;x=(c[r>>2]|0)+56|0;y=w+40|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));k=c[s>>2]|0;w=k+56|0;x=(c[r>>2]|0)+16|0;y=w+40|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));a[k+112>>0]=1;n=0;J=12}}else{TN(k|0,c[r>>2]|0,176)|0;w=t;x=u;y=w+48|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));w=t+48|0;x=p;y=w+48|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));c[s>>2]=k;k=c[r>>2]|0;if(!(c[k+164>>2]&32)){TN(n|0,k|0,176)|0;w=Y;x=u;y=w+48|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));c[o>>2]=n;o=c[t>>2]|0;c[((o&3|0)==3?t:t+48|0)+40>>2]=c[((c[u>>2]&3|0)==3?u:p)+40>>2];w=Y+48|0;x=p;y=w+48|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0))}else{n=c[o>>2]|0;TN(n|0,k|0,176)|0;w=Y;x=u;y=w+48|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));c[o>>2]=n;w=c[Y>>2]&3;c[((w|0)==3?Y:Y+48|0)+40>>2]=c[((c[u>>2]&3|0)==2?u:q)+40>>2];c[((w|0)==2?Y:Y+-48|0)+40>>2]=c[((c[u>>2]&3|0)==3?u:p)+40>>2];w=n+16|0;x=(c[r>>2]|0)+56|0;y=w+40|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));k=c[o>>2]|0;w=k+56|0;x=(c[r>>2]|0)+16|0;y=w+40|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));a[k+112>>0]=1;c[k+116>>2]=u;o=c[t>>2]|0;c[((o&3|0)==3?t:t+48|0)+40>>2]=c[((c[u>>2]&3|0)==2?u:q)+40>>2];w=(c[s>>2]|0)+16|0;x=(c[r>>2]|0)+56|0;y=w+40|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0))}k=cg(u)|0;while(1){n=c[(c[k+16>>2]|0)+172>>2]|0;if(!n)break;else k=n}c[((o&3|0)==2?t:t+-48|0)+40>>2]=c[((c[k>>2]&3|0)==2?k:k+-48|0)+40>>2];k=c[s>>2]|0;a[k+84>>0]=0;a[k+112>>0]=1;n=k+56|0;c[n>>2]=0;c[n+4>>2]=0;c[n+8>>2]=0;c[n+12>>2]=0;n=1;J=12}if((J|0)==12){c[k+116>>2]=u;K=t}H=(j|0)==2;if(H?(v=ig(b,K,c[41920]|0,_)|0,c[Z>>2]=v,(v|0)!=0):0)J=63;else J=15;a:do if((J|0)==15){G=(j|0)==10;c[Z>>2]=0;o=c[K>>2]&3;k=c[((o|0)==3?K:K+48|0)+40>>2]|0;o=c[((o|0)==2?K:K+-48|0)+40>>2]|0;c[_>>2]=o;jg(z,b,d,k,0,K);c[T>>2]=c[z>>2];c[T+4>>2]=c[z+4>>2];c[T+8>>2]=c[z+8>>2];c[T+12>>2]=c[z+12>>2];c[T+16>>2]=c[z+16>>2];c[T+20>>2]=c[z+20>>2];c[T+24>>2]=c[z+24>>2];c[T+28>>2]=c[z+28>>2];c[V>>2]=c[z>>2];c[V+4>>2]=c[z+4>>2];c[V+8>>2]=c[z+8>>2];c[V+12>>2]=c[z+12>>2];c[V+16>>2]=c[z+16>>2];c[V+20>>2]=c[z+20>>2];Mz(e,K,1,T,kg(k)|0);B=T+52|0;I=(c[B>>2]|0)+-1|0;D=V+24|0;h[D>>3]=+h[T+56+(I<<5)+24>>3];E=V+8|0;h[E>>3]=+h[T+56+(I<<5)+8>>3];I=c[k+16>>2]|0;F=b+16|0;m=+h[I+24>>3]-+h[(c[(c[F>>2]|0)+196>>2]|0)+(c[I+232>>2]<<6)+16>>3];c[S>>2]=c[V>>2];c[S+4>>2]=c[V+4>>2];c[S+8>>2]=c[V+8>>2];c[S+12>>2]=c[V+12>>2];c[S+16>>2]=c[V+16>>2];c[S+20>>2]=c[V+20>>2];c[S+24>>2]=c[V+24>>2];c[S+28>>2]=c[V+28>>2];lg(A,S,1,m);c[V>>2]=c[A>>2];c[V+4>>2]=c[A+4>>2];c[V+8>>2]=c[A+8>>2];c[V+12>>2]=c[A+12>>2];c[V+16>>2]=c[A+16>>2];c[V+20>>2]=c[A+20>>2];c[V+24>>2]=c[A+24>>2];c[V+28>>2]=c[A+28>>2];A=V+16|0;if(+h[V>>3]<+h[A>>3]?+h[E>>3]<+h[D>>3]:0){I=c[B>>2]|0;c[B>>2]=I+1;I=T+56+(I<<5)|0;c[I>>2]=c[V>>2];c[I+4>>2]=c[V+4>>2];c[I+8>>2]=c[V+8>>2];c[I+12>>2]=c[V+12>>2];c[I+16>>2]=c[V+16>>2];c[I+20>>2]=c[V+20>>2];c[I+24>>2]=c[V+24>>2];c[I+28>>2]=c[V+28>>2]}w=b+60|0;C=U+52|0;x=e+56|0;y=e+69|0;j=e+16|0;z=e+29|0;I=K;q=0;r=-1;b:while(1){s=k;t=0;k=0;u=I;while(1){p=o;v=o;if((a[(c[p+16>>2]|0)+156>>0]|0)!=1)break b;if(($a[c[17228>>2]&31](p)|0)<<24>>24)break b;o=t|1;ca=135024+(t<<5)|0;mg(L,d,b,c[(c[s+16>>2]|0)+232>>2]|0);c[ca>>2]=c[L>>2];c[ca+4>>2]=c[L+4>>2];c[ca+8>>2]=c[L+8>>2];c[ca+12>>2]=c[L+12>>2];c[ca+16>>2]=c[L+16>>2];c[ca+20>>2]=c[L+20>>2];c[ca+24>>2]=c[L+24>>2];c[ca+28>>2]=c[L+28>>2];if(!k){q=ng(p)|0;k=(q|0)<((a[(c[(c[w>>2]|0)+16>>2]|0)+113>>0]<<1&2)+3&255|0);q=k?q:q+-2|0;r=k?r:1;k=(k^1)&1}if(!((k|0)==0|(r|0)>0))break;ca=135024+(o<<5)|0;jg(M,b,d,p,u,c[c[(c[p+16>>2]|0)+180>>2]>>2]|0);c[ca>>2]=c[M>>2];c[ca+4>>2]=c[M+4>>2];c[ca+8>>2]=c[M+8>>2];c[ca+12>>2]=c[M+12>>2];c[ca+16>>2]=c[M+16>>2];c[ca+20>>2]=c[M+20>>2];c[ca+24>>2]=c[M+24>>2];c[ca+28>>2]=c[M+28>>2];ca=c[c[(c[v+16>>2]|0)+180>>2]>>2]|0;o=c[ca>>2]&3;s=c[((o|0)==3?ca:ca+48|0)+40>>2]|0;o=c[((o|0)==2?ca:ca+-48|0)+40>>2]|0;c[_>>2]=o;t=t+2|0;r=r+-1|0;u=ca}jg(N,b,d,p,u,c[c[(c[p+16>>2]|0)+180>>2]>>2]|0);c[U>>2]=c[N>>2];c[U+4>>2]=c[N+4>>2];c[U+8>>2]=c[N+8>>2];c[U+12>>2]=c[N+12>>2];c[U+16>>2]=c[N+16>>2];c[U+20>>2]=c[N+20>>2];c[U+24>>2]=c[N+24>>2];c[U+28>>2]=c[N+28>>2];Pz(e,u,1,U,kg(c[((c[u>>2]&3|0)==2?u:u+-48|0)+40>>2]|0)|0);ca=U+56+((c[C>>2]|0)+-1<<5)|0;t=c[v+16>>2]|0;m=+h[(c[(c[F>>2]|0)+196>>2]|0)+(c[t+232>>2]<<6)+24>>3]+ +h[t+24>>3];c[S>>2]=c[ca>>2];c[S+4>>2]=c[ca+4>>2];c[S+8>>2]=c[ca+8>>2];c[S+12>>2]=c[ca+12>>2];c[S+16>>2]=c[ca+16>>2];c[S+20>>2]=c[ca+20>>2];c[S+24>>2]=c[ca+24>>2];c[S+28>>2]=c[ca+28>>2];lg(V,S,4,m);if(+h[V>>3]<+h[A>>3]?+h[E>>3]<+h[D>>3]:0){ca=c[C>>2]|0;c[C>>2]=ca+1;ca=U+56+(ca<<5)|0;c[ca>>2]=c[V>>2];c[ca+4>>2]=c[V+4>>2];c[ca+8>>2]=c[V+8>>2];c[ca+12>>2]=c[V+12>>2];c[ca+16>>2]=c[V+16>>2];c[ca+20>>2]=c[V+20>>2];c[ca+24>>2]=c[V+24>>2];c[ca+28>>2]=c[V+28>>2]}h[x>>3]=1.5707963267948966;a[y>>0]=1;og(e,I,u,T,U,o);if(!G){k=ty(e,X)|0;o=c[X>>2]|0;if(H&(o|0)>4){ca=k+16|0;c[ca>>2]=c[k>>2];c[ca+4>>2]=c[k+4>>2];c[ca+8>>2]=c[k+8>>2];c[ca+12>>2]=c[k+12>>2];ca=k+32|0;o=k+(o+-1<<4)|0;c[ca>>2]=c[o>>2];c[ca+4>>2]=c[o+4>>2];c[ca+8>>2]=c[o+8>>2];c[ca+12>>2]=c[o+12>>2];UN(k+48|0,o|0,16)|0;c[X>>2]=4;o=4}else J=33}else{k=ny(e,X)|0;o=c[X>>2]|0;J=33}if((J|0)==33){J=0;if(!o)break a}u=c[Z>>2]|0;p=u+o|0;if((p|0)>(c[41922]|0)){c[41922]=p<<1;t=yw(c[41920]|0,p<<5)|0;c[41920]=t;o=c[X>>2]|0}else t=c[41920]|0;s=0;p=u;while(1){if((s|0)>=(o|0))break;ca=t+(p<<4)|0;u=k+(s<<4)|0;c[ca>>2]=c[u>>2];c[ca+4>>2]=c[u+4>>2];c[ca+8>>2]=c[u+8>>2];c[ca+12>>2]=c[u+12>>2];s=s+1|0;p=p+1|0}c[Z>>2]=p;o=pg(c[c[(c[v+16>>2]|0)+180>>2]>>2]|0,q,t,Z)|0;qg(I,e);p=c[o>>2]&3;k=c[((p|0)==3?o:o+48|0)+40>>2]|0;p=c[((p|0)==2?o:o+-48|0)+40>>2]|0;c[_>>2]=p;I=k+16|0;jg(P,b,d,k,c[c[(c[I>>2]|0)+172>>2]>>2]|0,o);c[T>>2]=c[P>>2];c[T+4>>2]=c[P+4>>2];c[T+8>>2]=c[P+8>>2];c[T+12>>2]=c[P+12>>2];c[T+16>>2]=c[P+16>>2];c[T+20>>2]=c[P+20>>2];c[T+24>>2]=c[P+24>>2];c[T+28>>2]=c[P+28>>2];Mz(e,o,1,T,kg(k)|0);ca=T+56+((c[B>>2]|0)+-1<<5)|0;I=c[I>>2]|0;m=+h[I+24>>3]-+h[(c[(c[F>>2]|0)+196>>2]|0)+(c[I+232>>2]<<6)+16>>3];c[S>>2]=c[ca>>2];c[S+4>>2]=c[ca+4>>2];c[S+8>>2]=c[ca+8>>2];c[S+12>>2]=c[ca+12>>2];c[S+16>>2]=c[ca+16>>2];c[S+20>>2]=c[ca+20>>2];c[S+24>>2]=c[ca+24>>2];c[S+28>>2]=c[ca+28>>2];lg(V,S,1,m);if(+h[V>>3]<+h[A>>3]?+h[E>>3]<+h[D>>3]:0){ca=c[B>>2]|0;c[B>>2]=ca+1;ca=T+56+(ca<<5)|0;c[ca>>2]=c[V>>2];c[ca+4>>2]=c[V+4>>2];c[ca+8>>2]=c[V+8>>2];c[ca+12>>2]=c[V+12>>2];c[ca+16>>2]=c[V+16>>2];c[ca+20>>2]=c[V+20>>2];c[ca+24>>2]=c[V+24>>2];c[ca+28>>2]=c[V+28>>2]}h[j>>3]=-1.5707963267948966;a[z>>0]=1;I=o;o=p}k=t|1;r=135024+(t<<5)|0;mg(Q,d,b,c[(c[s+16>>2]|0)+232>>2]|0);c[r>>2]=c[Q>>2];c[r+4>>2]=c[Q+4>>2];c[r+8>>2]=c[Q+8>>2];c[r+12>>2]=c[Q+12>>2];c[r+16>>2]=c[Q+16>>2];c[r+20>>2]=c[Q+20>>2];c[r+24>>2]=c[Q+24>>2];c[r+28>>2]=c[Q+28>>2];jg(R,b,d,p,u,0);c[U>>2]=c[R>>2];c[U+4>>2]=c[R+4>>2];c[U+8>>2]=c[R+8>>2];c[U+12>>2]=c[R+12>>2];c[U+16>>2]=c[R+16>>2];c[U+20>>2]=c[R+20>>2];c[U+24>>2]=c[R+24>>2];c[U+28>>2]=c[R+28>>2];c[V>>2]=c[R>>2];c[V+4>>2]=c[R+4>>2];c[V+8>>2]=c[R+8>>2];c[V+12>>2]=c[R+12>>2];c[V+16>>2]=c[R+16>>2];c[V+20>>2]=c[R+20>>2];c[V+24>>2]=c[R+24>>2];c[V+28>>2]=c[R+28>>2];r=(n|0)!=0;s=u+-48|0;Pz(e,r?Y:u,1,U,kg(c[((c[u>>2]&3|0)==2?u:s)+40>>2]|0)|0);ca=(c[C>>2]|0)+-1|0;h[D>>3]=+h[U+56+(ca<<5)+24>>3];h[E>>3]=+h[U+56+(ca<<5)+8>>3];ca=c[v+16>>2]|0;m=+h[(c[(c[F>>2]|0)+196>>2]|0)+(c[ca+232>>2]<<6)+24>>3]+ +h[ca+24>>3];c[S>>2]=c[V>>2];c[S+4>>2]=c[V+4>>2];c[S+8>>2]=c[V+8>>2];c[S+12>>2]=c[V+12>>2];c[S+16>>2]=c[V+16>>2];c[S+20>>2]=c[V+20>>2];c[S+24>>2]=c[V+24>>2];c[S+28>>2]=c[V+28>>2];lg(W,S,4,m);c[V>>2]=c[W>>2];c[V+4>>2]=c[W+4>>2];c[V+8>>2]=c[W+8>>2];c[V+12>>2]=c[W+12>>2];c[V+16>>2]=c[W+16>>2];c[V+20>>2]=c[W+20>>2];c[V+24>>2]=c[W+24>>2];c[V+28>>2]=c[W+28>>2];if(+h[V>>3]<+h[A>>3]?+h[E>>3]<+h[D>>3]:0){ca=c[C>>2]|0;c[C>>2]=ca+1;ca=U+56+(ca<<5)|0;c[ca>>2]=c[V>>2];c[ca+4>>2]=c[V+4>>2];c[ca+8>>2]=c[V+8>>2];c[ca+12>>2]=c[V+12>>2];c[ca+16>>2]=c[V+16>>2];c[ca+20>>2]=c[V+20>>2];c[ca+24>>2]=c[V+24>>2];c[ca+28>>2]=c[V+28>>2]}og(e,I,u,T,U,k);if(G)q=ny(e,X)|0;else q=ty(e,X)|0;k=c[X>>2]|0;if(!(H&(k|0)>4)){if(!k)break}else{ca=q+16|0;c[ca>>2]=c[q>>2];c[ca+4>>2]=c[q+4>>2];c[ca+8>>2]=c[q+8>>2];c[ca+12>>2]=c[q+12>>2];ca=q+32|0;k=q+(k+-1<<4)|0;c[ca>>2]=c[k>>2];c[ca+4>>2]=c[k+4>>2];c[ca+8>>2]=c[k+8>>2];c[ca+12>>2]=c[k+12>>2];UN(q+48|0,k|0,16)|0;c[X>>2]=4;k=4}o=c[Z>>2]|0;n=o+k|0;if((n|0)>(c[41922]|0)){c[41922]=n<<1;p=yw(c[41920]|0,n<<5)|0;c[41920]=p;k=c[X>>2]|0}else p=c[41920]|0;n=0;while(1){if((n|0)>=(k|0))break;ca=p+(o<<4)|0;X=q+(n<<4)|0;c[ca>>2]=c[X>>2];c[ca+4>>2]=c[X+4>>2];c[ca+8>>2]=c[X+8>>2];c[ca+12>>2]=c[X+12>>2];n=n+1|0;o=o+1|0}c[Z>>2]=o;qg(I,e);if(r)k=(c[Y>>2]&3|0)==2?Y:Y+-48|0;else k=(c[u>>2]&3|0)==2?u:s;c[_>>2]=c[k+40>>2];v=o;J=63}while(0);c:do if((J|0)==63){if((i|0)==1){Jz(K,c[_>>2]|0,c[41920]|0,v,17224);break}t=d+12|0;u=v+-1|0;m=+((O(c[t>>2]|0,i+-1|0)|0)/2|0|0);n=c[41920]|0;k=1;while(1){if((k|0)>=(u|0))break;ca=n+(k<<4)|0;h[ca>>3]=+h[ca>>3]-m;k=k+1|0}k=c[41922]|0;if((k|0)>(c[41923]|0)){c[41923]=k;o=yw(c[41921]|0,k<<4)|0;c[41921]=o;n=c[41920]|0}else o=c[41921]|0;k=0;while(1){if((k|0)>=(v|0))break;ca=o+(k<<4)|0;d=n+(k<<4)|0;c[ca>>2]=c[d>>2];c[ca+4>>2]=c[d+4>>2];c[ca+8>>2]=c[d+8>>2];c[ca+12>>2]=c[d+12>>2];k=k+1|0}Jz(K,c[_>>2]|0,o,v,17224);r=$+48|0;s=$+-48|0;q=1;while(1){if((q|0)>=(i|0))break c;o=c[f+(q+g<<2)>>2]|0;p=o+16|0;k=c[p>>2]|0;if(c[k+164>>2]&32){n=c[aa>>2]|0;TN(n|0,k|0,176)|0;w=$;x=o;y=w+48|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));c[aa>>2]=n;w=c[$>>2]&3;c[((w|0)==3?$:r)+40>>2]=c[((c[o>>2]&3|0)==2?o:o+-48|0)+40>>2];c[((w|0)==2?$:s)+40>>2]=c[((c[o>>2]&3|0)==3?o:o+48|0)+40>>2];w=n+16|0;x=(c[p>>2]|0)+56|0;y=w+40|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));k=c[aa>>2]|0;w=k+56|0;x=(c[p>>2]|0)+16|0;y=w+40|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));a[k+112>>0]=1;c[k+116>>2]=o;o=$}p=c[41920]|0;k=1;while(1){if((k|0)>=(u|0))break;ca=p+(k<<4)|0;h[ca>>3]=+h[ca>>3]+ +(c[t>>2]|0);k=k+1|0}n=c[41921]|0;k=0;while(1){if((k|0)>=(v|0))break;ca=n+(k<<4)|0;_=p+(k<<4)|0;c[ca>>2]=c[_>>2];c[ca+4>>2]=c[_+4>>2];c[ca+8>>2]=c[_+8>>2];c[ca+12>>2]=c[_+12>>2];k=k+1|0}Jz(o,c[((c[o>>2]&3|0)==2?o:o+-48|0)+40>>2]|0,n,v,17224);q=q+1|0}}while(0);l=ba;return}function fg(a){a=a|0;var b=0,d=0,e=0;b=co(a)|0;while(1){if(!b)break;d=Pm(a,b)|0;while(1){if(!d)break;if(($a[c[4306]&31](d)|0)<<24>>24?(e=c[(c[d+16>>2]|0)+8>>2]|0,e|0):0)gg(e);d=Rm(a,d)|0}b=eo(a,b)|0}return}function gg(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;f=c[a+4>>2]|0;g=ww(f*48|0)|0;b=g;d=0;e=(c[a>>2]|0)+((f+-1|0)*48|0)|0;while(1){if((d|0)>=(f|0)){b=0;break}hg(e,b);b=b+48|0;d=d+1|0;e=e+-48|0}while(1){d=c[a>>2]|0;if((b|0)>=(f|0))break;_I(c[d+(b*48|0)>>2]|0);b=b+1|0}_I(d);c[a>>2]=g;return}function hg(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;g=c[a+4>>2]|0;h=ww(g<<4)|0;d=h;e=0;f=(c[a>>2]|0)+(g+-1<<4)|0;while(1){if((e|0)>=(g|0))break;c[d>>2]=c[f>>2];c[d+4>>2]=c[f+4>>2];c[d+8>>2]=c[f+8>>2];c[d+12>>2]=c[f+12>>2];d=d+16|0;e=e+1|0;f=f+-16|0}c[b>>2]=h;c[b+4>>2]=g;c[b+8>>2]=c[a+12>>2];c[b+12>>2]=c[a+8>>2];h=b+16|0;g=a+32|0;c[h>>2]=c[g>>2];c[h+4>>2]=c[g+4>>2];c[h+8>>2]=c[g+8>>2];c[h+12>>2]=c[g+12>>2];h=b+32|0;g=a+16|0;c[h>>2]=c[g>>2];c[h+4>>2]=c[g+4>>2];c[h+8>>2]=c[g+8>>2];c[h+12>>2]=c[g+12>>2];return}function ig(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0.0,j=0.0,k=0.0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0;x=l;l=l+96|0;q=x+80|0;s=x+64|0;r=x+48|0;u=x+32|0;v=x+16|0;w=x;m=d;while(1){t=m+16|0;g=c[t>>2]|0;if(!(a[g+112>>0]|0))break;m=c[g+116>>2]|0}g=c[m>>2]&3;o=c[((g|0)==2?m:m+-48|0)+40>>2]|0;g=c[((g|0)==3?m:m+48|0)+40>>2]|0;m=o+16|0;n=g+16|0;y=(c[(c[m>>2]|0)+232>>2]|0)-(c[(c[n>>2]|0)+232>>2]|0)|0;switch(((y|0)>-1?y:0-y|0)|0){case 1:{g=0;break}case 2:{if(!(a[(c[(c[b+60>>2]|0)+16>>2]|0)+113>>0]&1))p=6;else g=0;break}default:p=6}do if((p|0)==6){if((c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0)==(g|0)){c[f>>2]=o;y=(c[n>>2]|0)+16|0;p=(c[t>>2]|0)+16|0;c[s>>2]=c[y>>2];c[s+4>>2]=c[y+4>>2];c[s+8>>2]=c[y+8>>2];c[s+12>>2]=c[y+12>>2];c[q>>2]=c[p>>2];c[q+4>>2]=c[p+4>>2];c[q+8>>2]=c[p+8>>2];c[q+12>>2]=c[p+12>>2];Ag(u,s,q);p=(c[m>>2]|0)+16|0;y=(c[t>>2]|0)+56|0;c[s>>2]=c[p>>2];c[s+4>>2]=c[p+4>>2];c[s+8>>2]=c[p+8>>2];c[s+12>>2]=c[p+12>>2];c[q>>2]=c[y>>2];c[q+4>>2]=c[y+4>>2];c[q+8>>2]=c[y+8>>2];c[q+12>>2]=c[y+12>>2];Ag(v,s,q)}else{c[f>>2]=g;y=(c[m>>2]|0)+16|0;p=(c[t>>2]|0)+56|0;c[s>>2]=c[y>>2];c[s+4>>2]=c[y+4>>2];c[s+8>>2]=c[y+8>>2];c[s+12>>2]=c[y+12>>2];c[q>>2]=c[p>>2];c[q+4>>2]=c[p+4>>2];c[q+8>>2]=c[p+8>>2];c[q+12>>2]=c[p+12>>2];Ag(u,s,q);p=(c[n>>2]|0)+16|0;y=(c[t>>2]|0)+16|0;c[s>>2]=c[p>>2];c[s+4>>2]=c[p+4>>2];c[s+8>>2]=c[p+8>>2];c[s+12>>2]=c[p+12>>2];c[q>>2]=c[y>>2];c[q+4>>2]=c[y+4>>2];c[q+8>>2]=c[y+8>>2];c[q+12>>2]=c[y+12>>2];Ag(v,s,q)}g=c[(c[t>>2]|0)+96>>2]|0;if(!g){g=e+16|0;c[e>>2]=c[u>>2];c[e+4>>2]=c[u+4>>2];c[e+8>>2]=c[u+8>>2];c[e+12>>2]=c[u+12>>2];c[g>>2]=c[u>>2];c[g+4>>2]=c[u+4>>2];c[g+8>>2]=c[u+8>>2];c[g+12>>2]=c[u+12>>2];g=e+48|0;y=e+32|0;c[y>>2]=c[v>>2];c[y+4>>2]=c[v+4>>2];c[y+8>>2]=c[v+8>>2];c[y+12>>2]=c[v+12>>2];c[g>>2]=c[v>>2];c[g+4>>2]=c[v+4>>2];c[g+8>>2]=c[v+8>>2];c[g+12>>2]=c[v+12>>2];g=4;break}j=+h[g+24>>3];i=+h[g+32>>3];p=(c[(c[(ro(o)|0)+16>>2]|0)+116>>2]&1|0)==0;k=p?i:j;y=(c[(c[t>>2]|0)+96>>2]|0)+56|0;c[w>>2]=c[y>>2];c[w+4>>2]=c[y+4>>2];c[w+8>>2]=c[y+8>>2];c[w+12>>2]=c[y+12>>2];c[r>>2]=c[v>>2];c[r+4>>2]=c[v+4>>2];c[r+8>>2]=c[v+8>>2];c[r+12>>2]=c[v+12>>2];c[s>>2]=c[u>>2];c[s+4>>2]=c[u+4>>2];c[s+8>>2]=c[u+8>>2];c[s+12>>2]=c[u+12>>2];c[q>>2]=c[y>>2];c[q+4>>2]=c[y+4>>2];c[q+8>>2]=c[y+8>>2];c[q+12>>2]=c[y+12>>2];y=(Bg(r,s,q)|0)==0;i=(p?j:i)*.5;j=+h[w>>3];if(y){h[w>>3]=j-i;y=w+8|0;h[y>>3]=+h[y>>3]+k*.5}else{h[w>>3]=j+i;y=w+8|0;h[y>>3]=+h[y>>3]-k*.5}g=e+16|0;c[e>>2]=c[u>>2];c[e+4>>2]=c[u+4>>2];c[e+8>>2]=c[u+8>>2];c[e+12>>2]=c[u+12>>2];c[g>>2]=c[u>>2];c[g+4>>2]=c[u+4>>2];c[g+8>>2]=c[u+8>>2];c[g+12>>2]=c[u+12>>2];g=e+32|0;y=e+48|0;u=e+64|0;c[u>>2]=c[w>>2];c[u+4>>2]=c[w+4>>2];c[u+8>>2]=c[w+8>>2];c[u+12>>2]=c[w+12>>2];c[y>>2]=c[w>>2];c[y+4>>2]=c[w+4>>2];c[y+8>>2]=c[w+8>>2];c[y+12>>2]=c[w+12>>2];c[g>>2]=c[w>>2];c[g+4>>2]=c[w+4>>2];c[g+8>>2]=c[w+8>>2];c[g+12>>2]=c[w+12>>2];g=e+80|0;y=e+96|0;c[y>>2]=c[v>>2];c[y+4>>2]=c[v+4>>2];c[y+8>>2]=c[v+8>>2];c[y+12>>2]=c[v+12>>2];c[g>>2]=c[v>>2];c[g+4>>2]=c[v+4>>2];c[g+8>>2]=c[v+8>>2];c[g+12>>2]=c[v+12>>2];g=7}while(0);l=x;return g|0}function jg(b,d,e,f,g,i){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0.0,k=0,l=0,m=0.0,n=0,o=0.0,p=0.0,q=0;q=c[f+16>>2]|0;p=+h[q+16>>3];j=p-+h[q+88>>3];m=j+-4.0;l=wg(d,f,g,i,-1)|0;if(!l){n=~~(j+(m>=0.0?-3.5:-4.5));k=c[e>>2]|0;k=(k|0)>(n|0)?n:k}else{k=xg(d,f,l)|0;do if(!k){n=c[l+16>>2]|0;j=+h[n+240>>3]+ +h[n+16>>3];if(!(a[n+156>>0]|0)){j=+(c[(c[d+16>>2]|0)+248>>2]|0)*.5+j;break}else{j=j+ +(c[e+8>>2]|0);break}}else j=+h[(c[k+16>>2]|0)+32>>3]+ +(c[e+8>>2]|0);while(0);o=j<m?j:m;k=~~(o+(o>=0.0?.5:-.5))}o=+(k|0);n=(a[q+156>>0]|0)==1;if(n?(c[q+104>>2]|0)!=0:0)m=p+10.0;else m=p+4.0+ +h[q+96>>3];l=wg(d,f,g,i,1)|0;if(!l){f=~~(m+(m>=0.0?.5:-.5));k=c[e+4>>2]|0;k=(k|0)<(f|0)?f:k}else{k=xg(d,f,l)|0;do if(!k){f=c[l+16>>2]|0;j=+h[f+16>>3]-+h[f+88>>3];if(!(a[f+156>>0]|0)){j=j-+(c[(c[d+16>>2]|0)+248>>2]|0)*.5;break}else{j=j-+(c[e+8>>2]|0);break}}else j=+h[(c[k+16>>2]|0)+16>>3]-+(c[e+8>>2]|0);while(0);m=j>m?j:m;k=~~(m+(m>=0.0?.5:-.5))}j=+(k|0);if(n?(c[q+104>>2]|0)!=0:0){j=j-+h[q+96>>3];if(j<o)j=p}p=+h[q+24>>3];d=c[(c[d+16>>2]|0)+196>>2]|0;q=c[q+232>>2]|0;m=p-+h[d+(q<<6)+16>>3];p=+h[d+(q<<6)+24>>3]+p;h[b>>3]=o;h[b+8>>3]=m;h[b+16>>3]=j;h[b+24>>3]=p;return}function kg(b){b=b|0;b=c[b+16>>2]|0;if((a[b+156>>0]|0)==1)if((c[b+176>>2]|0)>1)b=1;else b=(c[b+184>>2]|0)>1&1;else b=0;return b|0}function lg(a,b,d,e){a=a|0;b=b|0;d=d|0;e=+e;var f=0,g=0;g=l;l=l+32|0;f=g;switch(d|0){case 1:{vg(f,+h[b>>3],e,+h[b+16>>3],+h[b+8>>3]);break}case 4:{vg(f,+h[b>>3],+h[b+24>>3],+h[b+16>>3],e);break}default:{}}c[a>>2]=c[f>>2];c[a+4>>2]=c[f+4>>2];c[a+8>>2]=c[f+8>>2];c[a+12>>2]=c[f+12>>2];c[a+16>>2]=c[f+16>>2];c[a+20>>2]=c[f+20>>2];c[a+24>>2]=c[f+24>>2];c[a+28>>2]=c[f+28>>2];l=g;return}function mg(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0.0,j=0.0,k=0,l=0,m=0,n=0,o=0;l=c[b+16>>2]|0;k=l+(e<<5)|0;j=+h[k>>3];m=l+(e<<5)+8|0;g=+h[m>>3];n=l+(e<<5)+16|0;f=+h[n>>3];l=l+(e<<5)+24|0;i=+h[l>>3];if(j==f){d=c[(c[d+16>>2]|0)+196>>2]|0;o=e+1|0;j=+(c[b>>2]|0);g=+h[d+(o<<6)+24>>3]+ +h[(c[(c[c[d+(o<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3];f=+(c[b+4>>2]|0);i=+h[(c[(c[c[d+(e<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]-+h[d+(e<<6)+16>>3];h[k>>3]=j;h[m>>3]=g;h[n>>3]=f;h[l>>3]=i}h[a>>3]=j;h[a+8>>3]=g;h[a+16>>3]=f;h[a+24>>3]=i;return}function ng(b){b=b|0;var d=0,e=0;b=c[b+16>>2]|0;e=b+16|0;d=0;while(1){b=c[c[b+180>>2]>>2]|0;b=c[(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)+16>>2]|0;if((a[b+156>>0]|0)!=1)break;if((c[b+184>>2]|0)!=1)break;if((c[b+176>>2]|0)!=1)break;if(+h[b+16>>3]!=+h[e>>3])break;d=d+1|0}return d|0}function og(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0;k=l;l=l+32|0;j=k;h=sg(b,-1)|0;b=sg(b,1)|0;if(!((h|0)!=0?!(_z(h)|0):0))i=3;do if((i|0)==3){if(b|0?(_z(b)|0)==0:0)break;h=tg(d,-1)|0;b=tg(d,1)|0;if(h|0?(_z(h)|0)==0:0)break;if(b|0?(_z(b)|0)==0:0)break;h=e+52|0;b=0;while(1){if((b|0)>=(c[h>>2]|0))break;d=e+56+(b<<5)|0;c[j>>2]=c[d>>2];c[j+4>>2]=c[d+4>>2];c[j+8>>2]=c[d+8>>2];c[j+12>>2]=c[d+12>>2];c[j+16>>2]=c[d+16>>2];c[j+20>>2]=c[d+20>>2];c[j+24>>2]=c[d+24>>2];c[j+28>>2]=c[d+28>>2];Lz(a,j);b=b+1|0}h=c[a+80>>2]|0;i=g+-3|0;b=0;while(1){if((b|0)>=(g|0))break;e=135024+(b<<5)|0;c[j>>2]=c[e>>2];c[j+4>>2]=c[e+4>>2];c[j+8>>2]=c[e+8>>2];c[j+12>>2]=c[e+12>>2];c[j+16>>2]=c[e+16>>2];c[j+20>>2]=c[e+20>>2];c[j+24>>2]=c[e+24>>2];c[j+28>>2]=c[e+28>>2];Lz(a,j);b=b+1|0}d=h+1|0;i=i+d|0;h=c[f+52>>2]|0;while(1){b=h+-1|0;if((h|0)<=0)break;h=f+56+(b<<5)|0;c[j>>2]=c[h>>2];c[j+4>>2]=c[h+4>>2];c[j+8>>2]=c[h+8>>2];c[j+12>>2]=c[h+12>>2];c[j+16>>2]=c[h+16>>2];c[j+20>>2]=c[h+20>>2];c[j+24>>2]=c[h+24>>2];c[j+28>>2]=c[h+28>>2];Lz(a,j);h=b}ug(a,d,i)}while(0);l=k;return}function pg(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;f=c[e>>2]|0;while(1){if(!b)break;a=c[c[(c[(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+180>>2]>>2]|0;b=b+-1|0}c[e>>2]=f+1;g=d+(f<<4)|0;b=d+(f+-1<<4)|0;c[g>>2]=c[b>>2];c[g+4>>2]=c[b+4>>2];c[g+8>>2]=c[b+8>>2];c[g+12>>2]=c[b+12>>2];f=c[e>>2]|0;c[e>>2]=f+1;f=d+(f<<4)|0;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];f=d+(c[e>>2]<<4)|0;e=(c[(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+16|0;c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];c[f+8>>2]=c[e+8>>2];c[f+12>>2]=c[e+12>>2];return a|0}function qg(b,d){b=b|0;d=d|0;var e=0,f=0.0,g=0.0,i=0,j=0,k=0,l=0,m=0;m=d+84|0;l=d+80|0;e=0;d=b;a:while(1){j=c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0;k=j+16|0;if((a[(c[k>>2]|0)+156>>0]|0)!=1)break;if(($a[c[17228>>2]&31](j)|0)<<24>>24)break;d=c[l>>2]|0;while(1){if((e|0)>=(d|0))break a;if(!(+h[(c[m>>2]|0)+(e<<5)+8>>3]>+h[(c[k>>2]|0)+24>>3]))break;e=e+1|0}d=c[m>>2]|0;b=c[k>>2]|0;do if(!(+h[d+(e<<5)+24>>3]<+h[b+24>>3])){g=+h[d+(e<<5)>>3];i=~~g;f=+h[d+(e<<5)+16>>3];if(!(c[b+104>>2]|0)){rg(j,i,~~((f+g)*.5),~~f);break}else{rg(j,i,~~f,~~(+h[b+96>>3]+f));break}}while(0);d=c[c[(c[k>>2]|0)+180>>2]>>2]|0}return}function rg(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;a=c[a+16>>2]|0;h[a+16>>3]=+(d|0);h[a+88>>3]=+(d-b|0);h[a+96>>3]=+(e-d|0);return}function sg(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;h=c[a>>2]&3;i=c[(c[(c[((h|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+180>>2]|0;h=((h|0)==2?a:a+-48|0)+40|0;g=0;a=0;while(1){e=c[i+(g<<2)>>2]|0;if(!e)break;f=c[(c[(c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;do if((O(f-(c[(c[(c[h>>2]|0)+16>>2]|0)+236>>2]|0)|0,b)|0)>=1){d=c[e+16>>2]|0;if(!(c[d+8>>2]|0)){d=c[d+116>>2]|0;if(!d)break;if(!(c[(c[d+16>>2]|0)+8>>2]|0))break}if(a|0?(O((c[(c[(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)-f|0,b)|0)<=0:0)break;a=e}while(0);g=g+1|0}return a|0}function tg(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;h=c[a>>2]&3;i=c[(c[(c[((h|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+172>>2]|0;h=((h|0)==3?a:a+48|0)+40|0;g=0;a=0;while(1){e=c[i+(g<<2)>>2]|0;if(!e)break;f=c[(c[(c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;do if((O(f-(c[(c[(c[h>>2]|0)+16>>2]|0)+236>>2]|0)|0,b)|0)>=1){d=c[e+16>>2]|0;if(!(c[d+8>>2]|0)){d=c[d+116>>2]|0;if(!d)break;if(!(c[(c[d+16>>2]|0)+8>>2]|0))break}if(a|0?(O((c[(c[(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)-f|0,b)|0)<=0:0)break;a=e}while(0);g=g+1|0}return a|0}function ug(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0,g=0,i=0,j=0,k=0,l=0,m=0.0;l=a+84|0;i=b+-1|0;while(1){if((i|0)>(d|0))break;f=c[l>>2]|0;j=f+(i<<5)|0;e=+h[j>>3];if(!(i-b&1)){f=f+(i<<5)+16|0;m=+h[f>>3];g=~~((m+e)*.5);if(e>=m){h[j>>3]=+(g+-8|0);h[f>>3]=+(g+8|0)}}else{f=f+(i<<5)+16|0;m=+h[f>>3];g=~~((m+e)*.5);if(e+16.0>m){h[j>>3]=+(g+-8|0);h[f>>3]=+(g+8|0)}}i=i+1|0}k=(c[a+80>>2]|0)+-1|0;g=0;while(1){if((g|0)>=(k|0))break;i=c[l>>2]|0;f=i+(g<<5)|0;j=g+1|0;a=i+(j<<5)|0;if(!((g|0)<(b|0)|(g|0)>(d|0))?(g-b&1|0)==0:0){e=+h[f>>3]+16.0;f=i+(j<<5)+16|0;if(e>+h[f>>3])h[f>>3]=e;e=+h[i+(g<<5)+16>>3]+-16.0;if(!(e<+h[a>>3])){g=j;continue}h[a>>3]=e;g=j;continue}if(!((g|0)<(d|0)&(j|0)>=(b|0))){g=j;continue}if(j-b&1|0){g=j;continue}e=+h[i+(j<<5)+16>>3];if(+h[f>>3]+16.0>e)h[f>>3]=e+-16.0;f=i+(g<<5)+16|0;e=+h[a>>3];if(!(+h[f>>3]+-16.0<e)){g=j;continue}h[f>>3]=e+16.0;g=j}return}function vg(a,b,c,d,e){a=a|0;b=+b;c=+c;d=+d;e=+e;h[a>>3]=b;h[a+8>>3]=c;h[a+16>>3]=d;h[a+24>>3]=e;return}function wg(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0;k=c[(c[b+16>>2]|0)+196>>2]|0;h=c[d+16>>2]|0;j=c[h+232>>2]|0;i=k+(j<<6)|0;j=k+(j<<6)+4|0;h=c[h+236>>2]|0;a:do{h=h+g|0;if((h|0)<=-1){b=0;break}if((h|0)>=(c[i>>2]|0)){b=0;break}b=c[(c[j>>2]|0)+(h<<2)>>2]|0;k=c[b+16>>2]|0;switch(a[k+156>>0]|0){case 0:break a;case 1:{if(c[k+104>>2]|0)break a;break}default:{}}}while((zg(b,d,e,f)|0)<<24>>24!=0);return b|0}function xg(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;d=c[d+16>>2]|0;if(!(a[d+156>>0]|0)){i=c[d+212>>2]|0;h=i}else{i=c[(c[(c[c[d+180>>2]>>2]|0)+16>>2]|0)+116>>2]|0;g=c[i>>2]&3;h=c[(c[(c[((g|0)==2?i:i+-48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0;i=c[(c[(c[((g|0)==3?i:i+48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0}d=c[e+16>>2]|0;if(!(a[d+156>>0]|0)){e=c[d+212>>2]|0;e=(e|0)==(b|0)?0:e;return ((e|0)==(h|0)|((e|0)==0|(e|0)==(i|0))?0:e)|0}f=c[(c[(c[c[d+180>>2]>>2]|0)+16>>2]|0)+116>>2]|0;g=c[f>>2]&3;d=c[(c[(c[((g|0)==3?f:f+48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0;d=(d|0)==(b|0)?0:d;if(!(!((d|0)==(h|0)|((d|0)==0|(d|0)==(i|0)))?(yg(d,e)|0)!=0:0)){d=c[(c[(c[((g|0)==2?f:f+-48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0;d=(d|0)==(b|0)?0:d;if((d|0)==(h|0)|((d|0)==0|(d|0)==(i|0)))d=0;else{e=(yg(d,e)|0)==0;return (e?0:d)|0}}return d|0}function yg(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0.0;d=c[a+16>>2]|0;a=c[b+16>>2]|0;f=+h[a+16>>3];if((+h[d+16>>3]<=f?f<=+h[d+32>>3]:0)?(e=+h[a+24>>3],+h[d+24>>3]<=e):0)a=e<=+h[d+40>>3]&1;else a=0;return a|0}function zg(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0;i=c[b+16>>2]|0;j=(c[i+236>>2]|0)>(c[(c[d+16>>2]|0)+236>>2]|0);a:do if((c[i+184>>2]|0)==1){b:do if(f|0){h=0;b=c[c[i+180>>2]>>2]|0;while(1){if((h|0)>=2)break b;b=c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0;d=c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0;if((b|0)==(d|0))break b;g=c[b+16>>2]|0;b=c[d+16>>2]|0;if(j^(c[g+236>>2]|0)>(c[b+236>>2]|0)){b=1;break a}if((c[g+184>>2]|0)!=1)break b;if(!(a[g+156>>0]|0))break b;if((c[b+184>>2]|0)!=1)break b;if(!(a[b+156>>0]|0))break b;h=h+1|0;f=c[c[b+180>>2]>>2]|0;b=c[c[g+180>>2]>>2]|0}}while(0);if(e|0?(c[i+176>>2]|0)==1:0){g=0;d=e;b=c[c[i+172>>2]>>2]|0;while(1){if((g|0)>=2){b=0;break a}b=c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0;d=c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0;if((b|0)==(d|0)){b=0;break a}f=c[b+16>>2]|0;b=c[d+16>>2]|0;if(j^(c[f+236>>2]|0)>(c[b+236>>2]|0)){b=1;break a}if((c[f+176>>2]|0)!=1){b=0;break a}if(!(a[f+156>>0]|0)){b=0;break a}if((c[b+176>>2]|0)!=1){b=0;break a}if(!(a[b+156>>0]|0)){b=0;break a}g=g+1|0;d=c[c[b+172>>2]>>2]|0;b=c[c[f+172>>2]>>2]|0}}else b=0}else b=0;while(0);return b|0}function Ag(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=+h[c+8>>3]+ +h[b+8>>3];h[a>>3]=+h[c>>3]+ +h[b>>3];h[a+8>>3]=d;return}function Bg(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0;d=+h[b+8>>3];e=+h[b>>3];return (~~((+h[c>>3]-e)*(+h[a+8>>3]-d)-(+h[a>>3]-e)*(+h[c+8>>3]-d))|0)>0|0}function Cg(b,d,e,f,g,i){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0.0,t=0,u=0,v=0.0,w=0.0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0,T=0;R=l;l=l+256|0;D=R+232|0;C=R+216|0;P=R+88|0;O=R+80|0;K=R+64|0;L=R+200|0;M=R+184|0;N=R;E=R+168|0;F=R+152|0;G=R+136|0;H=R+120|0;I=R+104|0;B=c[g>>2]&3;J=c[((B|0)==3?g:g+48|0)+40>>2]|0;B=c[((B|0)==2?g:g+-48|0)+40>>2]|0;do if((By(J)|0)!=2?(By(B)|0)!=2:0){g=0;j=0;k=0;while(1){if((k|0)>=(f|0))break;A=c[(c[d+(k+e<<2)>>2]|0)+16>>2]|0;g=g+((c[A+96>>2]|0)!=0&1)|0;if(!((a[A+44>>0]|0)==0?(a[A+84>>0]|0)==0:0))j=1;k=k+1|0}if(!j)if(!g){Eg(J,B,d,e,f,i);break}else{Jg(J,B,d,e,f,i,g);break}y=vw(156)|0;z=Kg(b,y)|0;t=Ip(z,78320,1)|0;No(t,122277,280,1)|0;Km(t,80018,80032)|0;m=+h[(c[B+16>>2]|0)+16>>3];s=+h[(c[J+16>>2]|0)+16>>3];A=b+16|0;q=(c[(c[A>>2]|0)+116>>2]&1|0)==0;r=q?B:J;q=q?J:B;t=Lg(t,q)|0;u=Lg(z,r)|0;g=0;p=0;while(1){if((p|0)>=(f|0))break;j=d+(p+e<<2)|0;while(1){o=c[j>>2]|0;n=o+16|0;j=c[n>>2]|0;if(!(a[j+112>>0]|0))break;else j=j+116|0}if((c[((c[o>>2]&3|0)==3?o:o+48|0)+40>>2]|0)==(q|0))k=Mg(z,t,u,o)|0;else k=Mg(z,u,t,o)|0;j=c[n>>2]|0;c[j+120>>2]=k;if(!g)if((a[j+44>>0]|0)==0?(a[j+84>>0]|0)==0:0){c[(c[k+16>>2]|0)+120>>2]=o;g=k}else g=0;p=p+1|0}if(!g)x=an(z,t,u,0,1)|0;else x=g;Cm(x,c[42218]|0,78324)|0;g=z+16|0;n=c[g>>2]|0;c[n+144>>2]=c[(c[A>>2]|0)+144>>2];c[n+188>>2]=z;IB(z,i);Bf(z);kj(z,0);uh(z,0);xi(z,0);q=q+16|0;i=c[q>>2]|0;n=c[r+16>>2]|0;r=t+16|0;o=c[r>>2]|0;p=o+16|0;v=+(~~m|0);w=+(~~((+h[(c[u+16>>2]|0)+16>>3]+ +h[p>>3])*.5)|0);m=+(~~s|0);s=+(~~((+h[i+16>>3]-+h[i+96>>3]+ +h[n+16>>3]+ +h[n+88>>3])*.5)|0);n=o+24|0;g=(c[g>>2]|0)+192|0;while(1){j=c[g>>2]|0;if(!j)break;do if((j|0)!=(t|0)){g=c[j+16>>2]|0;k=g+24|0;if((j|0)==(u|0)){h[k>>3]=m;h[g+16>>3]=w;break}else{h[k>>3]=s;break}}else{h[n>>3]=v;h[p>>3]=w;g=o}while(0);g=g+164|0}ek(z);Yf(z,0);$x(z);k=c[q>>2]|0;g=c[r>>2]|0;if(!(c[(c[A>>2]|0)+116>>2]&1)){j=g+16|0;m=+h[k+24>>3]-+h[g+24>>3]}else{j=g+24|0;m=+h[g+16>>3]+ +h[k+24>>3]}h[K>>3]=+h[k+16>>3]-+h[j>>3];h[K+8>>3]=m;i=N+16|0;t=N+32|0;u=N+48|0;r=0;while(1){if((r|0)>=(f|0))break;g=d+(r+e<<2)|0;while(1){j=c[g>>2]|0;q=j+16|0;g=c[q>>2]|0;if(!(a[g+112>>0]|0))break;else g=g+116|0}o=c[g+120>>2]|0;p=o+16|0;g=c[p>>2]|0;if(!((o|0)==(x|0)&(c[g+120>>2]|0)==0)){n=c[c[g+8>>2]>>2]|0;o=n+4|0;j=Iz(j,c[o>>2]|0)|0;c[j+8>>2]=c[n+8>>2];g=j+16|0;k=n+16|0;S=c[(c[A>>2]|0)+116>>2]&1;c[C>>2]=c[k>>2];c[C+4>>2]=c[k+4>>2];c[C+8>>2]=c[k+8>>2];c[C+12>>2]=c[k+12>>2];c[D>>2]=c[K>>2];c[D+4>>2]=c[K+4>>2];c[D+8>>2]=c[K+8>>2];c[D+12>>2]=c[K+12>>2];Ng(L,C,D,S);c[g>>2]=c[L>>2];c[g+4>>2]=c[L+4>>2];c[g+8>>2]=c[L+8>>2];c[g+12>>2]=c[L+12>>2];c[j+12>>2]=c[n+12>>2];g=j+32|0;S=n+32|0;k=c[(c[A>>2]|0)+116>>2]&1;c[C>>2]=c[S>>2];c[C+4>>2]=c[S+4>>2];c[C+8>>2]=c[S+8>>2];c[C+12>>2]=c[S+12>>2];c[D>>2]=c[K>>2];c[D+4>>2]=c[K+4>>2];c[D+8>>2]=c[K+8>>2];c[D+12>>2]=c[K+12>>2];Ng(M,C,D,k);c[g>>2]=c[M>>2];c[g+4>>2]=c[M+4>>2];c[g+8>>2]=c[M+8>>2];c[g+12>>2]=c[M+12>>2];g=0;while(1){if((g|0)>=(c[o>>2]|0))break;k=(c[j>>2]|0)+(g<<4)|0;T=(c[n>>2]|0)+(g<<4)|0;S=c[(c[A>>2]|0)+116>>2]&1;c[C>>2]=c[T>>2];c[C+4>>2]=c[T+4>>2];c[C+8>>2]=c[T+8>>2];c[C+12>>2]=c[T+12>>2];c[D>>2]=c[K>>2];c[D+4>>2]=c[K+4>>2];c[D+8>>2]=c[K+8>>2];c[D+12>>2]=c[K+12>>2];Ng(E,C,D,S);c[k>>2]=c[E>>2];c[k+4>>2]=c[E+4>>2];c[k+8>>2]=c[E+8>>2];c[k+12>>2]=c[E+12>>2];c[N>>2]=c[E>>2];c[N+4>>2]=c[E+4>>2];c[N+8>>2]=c[E+8>>2];c[N+12>>2]=c[E+12>>2];k=g+1|0;if((k|0)>=(c[o>>2]|0)){Q=48;break}S=(c[j>>2]|0)+(k<<4)|0;k=(c[n>>2]|0)+(k<<4)|0;T=c[(c[A>>2]|0)+116>>2]&1;c[C>>2]=c[k>>2];c[C+4>>2]=c[k+4>>2];c[C+8>>2]=c[k+8>>2];c[C+12>>2]=c[k+12>>2];c[D>>2]=c[K>>2];c[D+4>>2]=c[K+4>>2];c[D+8>>2]=c[K+8>>2];c[D+12>>2]=c[K+12>>2];Ng(F,C,D,T);c[S>>2]=c[F>>2];c[S+4>>2]=c[F+4>>2];c[S+8>>2]=c[F+8>>2];c[S+12>>2]=c[F+12>>2];c[i>>2]=c[F>>2];c[i+4>>2]=c[F+4>>2];c[i+8>>2]=c[F+8>>2];c[i+12>>2]=c[F+12>>2];S=g+2|0;T=(c[j>>2]|0)+(S<<4)|0;S=(c[n>>2]|0)+(S<<4)|0;k=c[(c[A>>2]|0)+116>>2]&1;c[C>>2]=c[S>>2];c[C+4>>2]=c[S+4>>2];c[C+8>>2]=c[S+8>>2];c[C+12>>2]=c[S+12>>2];c[D>>2]=c[K>>2];c[D+4>>2]=c[K+4>>2];c[D+8>>2]=c[K+8>>2];c[D+12>>2]=c[K+12>>2];Ng(G,C,D,k);c[T>>2]=c[G>>2];c[T+4>>2]=c[G+4>>2];c[T+8>>2]=c[G+8>>2];c[T+12>>2]=c[G+12>>2];c[t>>2]=c[G>>2];c[t+4>>2]=c[G+4>>2];c[t+8>>2]=c[G+8>>2];c[t+12>>2]=c[G+12>>2];T=g+3|0;k=(c[n>>2]|0)+(T<<4)|0;S=c[(c[A>>2]|0)+116>>2]&1;c[C>>2]=c[k>>2];c[C+4>>2]=c[k+4>>2];c[C+8>>2]=c[k+8>>2];c[C+12>>2]=c[k+12>>2];c[D>>2]=c[K>>2];c[D+4>>2]=c[K+4>>2];c[D+8>>2]=c[K+8>>2];c[D+12>>2]=c[K+12>>2];Ng(H,C,D,S);c[u>>2]=c[H>>2];c[u+4>>2]=c[H+4>>2];c[u+8>>2]=c[H+8>>2];c[u+12>>2]=c[H+12>>2];eu((c[A>>2]|0)+16|0,N);g=T}if((Q|0)==48)Q=0;g=c[(c[q>>2]|0)+96>>2]|0;if(g|0){T=g+56|0;p=(c[(c[p>>2]|0)+96>>2]|0)+56|0;S=c[(c[A>>2]|0)+116>>2]&1;c[C>>2]=c[p>>2];c[C+4>>2]=c[p+4>>2];c[C+8>>2]=c[p+8>>2];c[C+12>>2]=c[p+12>>2];c[D>>2]=c[K>>2];c[D+4>>2]=c[K+4>>2];c[D+8>>2]=c[K+8>>2];c[D+12>>2]=c[K+12>>2];Ng(I,C,D,S);c[T>>2]=c[I>>2];c[T+4>>2]=c[I+4>>2];c[T+8>>2]=c[I+8>>2];c[T+12>>2]=c[I+12>>2];T=c[(c[q>>2]|0)+96>>2]|0;a[T+81>>0]=1;bB(b,T)}}r=r+1|0}Og(z,y)}else Q=3;while(0);if((Q|0)==3?(c[41924]|0)==0:0){c[41924]=1;_l(0,78197,O)|0;Q=Dn(J)|0;S=(qn(b)|0)!=0;T=Dn(B)|0;c[P>>2]=Q;c[P+4>>2]=S?122546:122549;c[P+8>>2]=T;_l(3,78303,P)|0}l=R;return}function Dg(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0.0,B=0.0,C=0.0,D=0.0,E=0.0;z=l;l=l+1600|0;u=z+1552|0;n=z+1536|0;t=z+840|0;v=z+144|0;w=z+1584|0;j=z+32|0;s=z+16|0;o=z;q=c[f>>2]&3;p=c[((q|0)==3?f:f+48|0)+40>>2]|0;x=f+-48|0;q=c[((q|0)==2?f:x)+40>>2]|0;r=f+16|0;k=c[r>>2]|0;i=c[k+172>>2]|0;while(1){m=c[(c[i+16>>2]|0)+172>>2]|0;if(!m)break;else i=m}k=(c[k+96>>2]|0)+56|0;i=(c[((c[i>>2]&3|0)==3?i:i+48|0)+40>>2]|0)+16|0;m=(c[i>>2]|0)+16|0;c[k>>2]=c[m>>2];c[k+4>>2]=c[m+4>>2];c[k+8>>2]=c[m+8>>2];c[k+12>>2]=c[m+12>>2];k=c[r>>2]|0;a[(c[k+96>>2]|0)+81>>0]=1;if((g|0)!=2){k=c[i>>2]|0;C=+h[k+16>>3];E=C-+h[k+88>>3];C=+h[k+96>>3]+C;B=+h[k+24>>3];D=+h[k+80>>3]*.5+B;k=c[(c[b+16>>2]|0)+196>>2]|0;m=c[p+16>>2]|0;j=c[m+232>>2]|0;B=+(~~(+(~~(B-+h[k+(j<<6)+16>>3]-+h[m+24>>3]+ +h[k+(j<<6)+24>>3])|0)*.16666666666666666)|0);B=D-(B<5.0?5.0:B);Gg(b,d,e,p,f,t,1);Gg(b,d,e,q,f,v,0);j=t+52|0;k=c[j>>2]|0;m=k+-1|0;A=+h[t+56+(m<<5)>>3];h[16878]=A;h[16879]=+h[t+56+(m<<5)+24>>3];h[16880]=E;h[16881]=B;h[16882]=A;h[16883]=B;m=v+52|0;i=(c[m>>2]|0)+-1|0;A=+h[v+56+(i<<5)+16>>3];h[16884]=A;h[16885]=D;h[16886]=C;h[16889]=B;h[16887]=+h[v+56+(i<<5)+24>>3];h[16888]=A;i=0;while(1){if((i|0)>=(k|0)){i=0;break}k=t+56+(i<<5)|0;c[u>>2]=c[k>>2];c[u+4>>2]=c[k+4>>2];c[u+8>>2]=c[k+8>>2];c[u+12>>2]=c[k+12>>2];c[u+16>>2]=c[k+16>>2];c[u+20>>2]=c[k+20>>2];c[u+24>>2]=c[k+24>>2];c[u+28>>2]=c[k+28>>2];Lz(e,u);i=i+1|0;k=c[j>>2]|0}while(1){if((i|0)==3)break;t=135024+(i<<5)|0;c[u>>2]=c[t>>2];c[u+4>>2]=c[t+4>>2];c[u+8>>2]=c[t+8>>2];c[u+12>>2]=c[t+12>>2];c[u+16>>2]=c[t+16>>2];c[u+20>>2]=c[t+20>>2];c[u+24>>2]=c[t+24>>2];c[u+28>>2]=c[t+28>>2];Lz(e,u);i=i+1|0}j=c[m>>2]|0;while(1){i=j+-1|0;if((j|0)<=0)break;j=v+56+(i<<5)|0;c[u>>2]=c[j>>2];c[u+4>>2]=c[j+4>>2];c[u+8>>2]=c[j+8>>2];c[u+12>>2]=c[j+12>>2];c[u+16>>2]=c[j+16>>2];c[u+20>>2]=c[j+20>>2];c[u+24>>2]=c[j+24>>2];c[u+28>>2]=c[j+28>>2];Lz(e,u);j=i}if((g|0)==10)j=ny(e,w)|0;else j=ty(e,w)|0;i=c[w>>2]|0;if(i|0)y=17}else{i=(c[p+16>>2]|0)+16|0;v=k+16|0;c[n>>2]=c[i>>2];c[n+4>>2]=c[i+4>>2];c[n+8>>2]=c[i+8>>2];c[n+12>>2]=c[i+12>>2];c[u>>2]=c[v>>2];c[u+4>>2]=c[v+4>>2];c[u+8>>2]=c[v+8>>2];c[u+12>>2]=c[v+12>>2];Ag(s,n,u);v=(c[q+16>>2]|0)+16|0;i=(c[r>>2]|0)+56|0;c[n>>2]=c[v>>2];c[n+4>>2]=c[v+4>>2];c[n+8>>2]=c[v+8>>2];c[n+12>>2]=c[v+12>>2];c[u>>2]=c[i>>2];c[u+4>>2]=c[i+4>>2];c[u+8>>2]=c[i+8>>2];c[u+12>>2]=c[i+12>>2];Ag(o,n,u);i=c[(c[r>>2]|0)+96>>2]|0;D=+h[i+56>>3];E=+h[i+64>>3]-+h[i+32>>3]*.5;i=j+16|0;c[j>>2]=c[s>>2];c[j+4>>2]=c[s+4>>2];c[j+8>>2]=c[s+8>>2];c[j+12>>2]=c[s+12>>2];c[i>>2]=c[s>>2];c[i+4>>2]=c[s+4>>2];c[i+8>>2]=c[s+8>>2];c[i+12>>2]=c[s+12>>2];i=j+32|0;v=j+48|0;y=j+64|0;h[j+64>>3]=D;h[j+72>>3]=E;c[v>>2]=c[y>>2];c[v+4>>2]=c[y+4>>2];c[v+8>>2]=c[y+8>>2];c[v+12>>2]=c[y+12>>2];c[i>>2]=c[y>>2];c[i+4>>2]=c[y+4>>2];c[i+8>>2]=c[y+8>>2];c[i+12>>2]=c[y+12>>2];i=j+80|0;y=j+96|0;c[y>>2]=c[o>>2];c[y+4>>2]=c[o+4>>2];c[y+8>>2]=c[o+8>>2];c[y+12>>2]=c[o+12>>2];c[i>>2]=c[o>>2];c[i+4>>2]=c[o+4>>2];c[i+8>>2]=c[o+8>>2];c[i+12>>2]=c[o+12>>2];c[w>>2]=7;i=7;y=17}if((y|0)==17)Jz(f,c[((c[f>>2]&3|0)==2?f:x)+40>>2]|0,j,i,17224);l=z;return}function Eg(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0,s=0,t=0.0,u=0,v=0,w=0,x=0,y=0,z=0.0,A=0.0,B=0.0,C=0.0,D=0.0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0;N=l;l=l+352|0;x=N+336|0;w=N+320|0;L=N+128|0;u=N+304|0;y=N+288|0;M=N+112|0;E=N+96|0;F=N+80|0;G=N+64|0;H=N+48|0;I=N+32|0;J=N+16|0;K=N;a=a+16|0;q=(c[a>>2]|0)+16|0;v=(c[d+(e<<2)>>2]|0)+16|0;s=(c[v>>2]|0)+16|0;c[w>>2]=c[q>>2];c[w+4>>2]=c[q+4>>2];c[w+8>>2]=c[q+8>>2];c[w+12>>2]=c[q+12>>2];c[x>>2]=c[s>>2];c[x+4>>2]=c[s+4>>2];c[x+8>>2]=c[s+8>>2];c[x+12>>2]=c[s+12>>2];Ag(u,w,x);C=+h[u>>3];D=+h[u+8>>3];u=(c[b+16>>2]|0)+16|0;v=(c[v>>2]|0)+56|0;c[w>>2]=c[u>>2];c[w+4>>2]=c[u+4>>2];c[w+8>>2]=c[u+8>>2];c[w+12>>2]=c[u+12>>2];c[x>>2]=c[v>>2];c[x+4>>2]=c[v+4>>2];c[x+8>>2]=c[v+8>>2];c[x+12>>2]=c[v+12>>2];Ag(y,w,x);A=+h[y>>3];B=+h[y+8>>3];if((f|0)>1){z=+h[(c[a>>2]|0)+80>>3];i=z*.5;z=z/+(f+-1|0)}else{i=0.0;z=0.0}p=(g|8|0)==10;m=L+8|0;q=L+16|0;r=(A+C*2.0)*.3333333333333333;s=L+32|0;t=(A*2.0+C)*.3333333333333333;n=L+24|0;u=L+48|0;v=L+64|0;w=L+80|0;x=L+96|0;y=L+112|0;k=L+128|0;o=L+136|0;i=D-i;b=0;while(1){if((b|0)>=(f|0))break;j=c[d+(b+e<<2)>>2]|0;h[L>>3]=C;h[m>>3]=D;if(p){Ig(M,r,i);c[q>>2]=c[M>>2];c[q+4>>2]=c[M+4>>2];c[q+8>>2]=c[M+8>>2];c[q+12>>2]=c[M+12>>2];Ig(E,t,i);c[s>>2]=c[E>>2];c[s+4>>2]=c[E+4>>2];c[s+8>>2]=c[E+8>>2];c[s+12>>2]=c[E+12>>2];a=4;g=3}else{h[q>>3]=C;h[n>>3]=D;Ig(F,r,i);c[s>>2]=c[F>>2];c[s+4>>2]=c[F+4>>2];c[s+8>>2]=c[F+8>>2];c[s+12>>2]=c[F+12>>2];Ig(G,r,i);c[u>>2]=c[G>>2];c[u+4>>2]=c[G+4>>2];c[u+8>>2]=c[G+8>>2];c[u+12>>2]=c[G+12>>2];Ig(H,r,i);c[v>>2]=c[H>>2];c[v+4>>2]=c[H+4>>2];c[v+8>>2]=c[H+8>>2];c[v+12>>2]=c[H+12>>2];Ig(I,t,i);c[w>>2]=c[I>>2];c[w+4>>2]=c[I+4>>2];c[w+8>>2]=c[I+8>>2];c[w+12>>2]=c[I+12>>2];Ig(J,t,i);c[x>>2]=c[J>>2];c[x+4>>2]=c[J+4>>2];c[x+8>>2]=c[J+8>>2];c[x+12>>2]=c[J+12>>2];Ig(K,t,i);c[y>>2]=c[K>>2];c[y+4>>2]=c[K+4>>2];c[y+8>>2]=c[K+8>>2];c[y+12>>2]=c[K+12>>2];h[k>>3]=A;h[o>>3]=B;a=10;g=9}h[L+(g<<4)>>3]=A;h[L+(g<<4)+8>>3]=B;Jz(j,c[((c[j>>2]&3|0)==2?j:j+-48|0)+40>>2]|0,L,a,17224);i=i+z;b=b+1|0}l=N;return}function Fg(a,d,e,f,g,i,j,k){a=a|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;j=j|0;k=k|0;var m=0,n=0.0,o=0,p=0,q=0,r=0,s=0.0,t=0,u=0,v=0,w=0,x=0,y=0,z=0.0,A=0.0,B=0.0,C=0.0,D=0.0;x=l;l=l+1440|0;t=x+1392|0;v=x+1424|0;w=x+696|0;u=x;r=c[j>>2]&3;q=c[((r|0)==3?j:j+48|0)+40>>2]|0;r=c[((r|0)==2?j:j+-48|0)+40>>2]|0;m=c[q+16>>2]|0;o=c[m+232>>2]|0;p=c[a+16>>2]|0;if((o|0)<(b[p+238>>1]|0)){y=c[p+196>>2]|0;p=o+1|0;n=+h[m+24>>3]-+h[y+(o<<6)+32>>3]-+h[(c[(c[c[y+(p<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]-+h[y+(p<<6)+40>>3]}else n=+(c[p+252>>2]|0);z=+(i+1|0);s=+(c[d+12>>2]|0)/z;n=n/z;Hg(a,d,e,q,j,w,1);Hg(a,d,e,r,j,u,0);r=w+52|0;j=u+52|0;a=(k|0)==0;d=e+80|0;m=0;while(1){if((m|0)>=(i|0))break;q=c[f+(m+g<<2)>>2]|0;p=c[r>>2]|0;o=p+-1|0;D=+h[w+56+(o<<5)>>3];B=+h[w+56+(o<<5)+8>>3];C=+h[w+56+(o<<5)+16>>3];h[16878]=D;h[16881]=B;m=m+1|0;z=+(m|0);A=s*z;h[16880]=C+A;z=B-n*z;h[16879]=z;h[16882]=D;h[16885]=z;o=(c[j>>2]|0)+-1|0;D=+h[u+56+(o<<5)+16>>3];h[16884]=D;h[16883]=z-n;B=+h[u+56+(o<<5)>>3];C=+h[u+56+(o<<5)+8>>3];h[16888]=D;h[16889]=C;h[16886]=B-A;h[16887]=z;o=0;while(1){if((o|0)>=(p|0)){o=0;break}p=w+56+(o<<5)|0;c[t>>2]=c[p>>2];c[t+4>>2]=c[p+4>>2];c[t+8>>2]=c[p+8>>2];c[t+12>>2]=c[p+12>>2];c[t+16>>2]=c[p+16>>2];c[t+20>>2]=c[p+20>>2];c[t+24>>2]=c[p+24>>2];c[t+28>>2]=c[p+28>>2];Lz(e,t);o=o+1|0;p=c[r>>2]|0}while(1){if((o|0)==3)break;y=135024+(o<<5)|0;c[t>>2]=c[y>>2];c[t+4>>2]=c[y+4>>2];c[t+8>>2]=c[y+8>>2];c[t+12>>2]=c[y+12>>2];c[t+16>>2]=c[y+16>>2];c[t+20>>2]=c[y+20>>2];c[t+24>>2]=c[y+24>>2];c[t+28>>2]=c[y+28>>2];Lz(e,t);o=o+1|0}p=c[j>>2]|0;while(1){o=p+-1|0;if((p|0)<=0)break;p=u+56+(o<<5)|0;c[t>>2]=c[p>>2];c[t+4>>2]=c[p+4>>2];c[t+8>>2]=c[p+8>>2];c[t+12>>2]=c[p+12>>2];c[t+16>>2]=c[p+16>>2];c[t+20>>2]=c[p+20>>2];c[t+24>>2]=c[p+24>>2];c[t+28>>2]=c[p+28>>2];Lz(e,t);p=o}if(a)o=ty(e,v)|0;else o=ny(e,v)|0;p=c[v>>2]|0;if(!p)break;Jz(q,c[((c[q>>2]&3|0)==2?q:q+-48|0)+40>>2]|0,o,p,17224);c[d>>2]=0}l=x;return}function Gg(a,b,d,e,f,g,i){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0.0;n=l;l=l+128|0;j=n+96|0;k=n+64|0;o=n+32|0;m=n;jg(o,a,b,e,0,f);c[g>>2]=c[o>>2];c[g+4>>2]=c[o+4>>2];c[g+8>>2]=c[o+8>>2];c[g+12>>2]=c[o+12>>2];c[g+16>>2]=c[o+16>>2];c[g+20>>2]=c[o+20>>2];c[g+24>>2]=c[o+24>>2];c[g+28>>2]=c[o+28>>2];c[k>>2]=c[o>>2];c[k+4>>2]=c[o+4>>2];c[k+8>>2]=c[o+8>>2];c[k+12>>2]=c[o+12>>2];c[k+16>>2]=c[o+16>>2];c[k+20>>2]=c[o+20>>2];c[k+24>>2]=c[o+24>>2];c[k+28>>2]=c[o+28>>2];c[g+48>>2]=4;if(!(i<<24>>24))Pz(d,f,2,g,0);else Mz(d,f,2,g,0);b=g+52|0;f=(c[b>>2]|0)+-1|0;o=k+24|0;h[o>>3]=+h[g+56+(f<<5)+24>>3];i=k+8|0;h[i>>3]=+h[g+56+(f<<5)+8>>3];e=c[e+16>>2]|0;p=+h[(c[(c[a+16>>2]|0)+196>>2]|0)+(c[e+232>>2]<<6)+24>>3]+ +h[e+24>>3];c[j>>2]=c[k>>2];c[j+4>>2]=c[k+4>>2];c[j+8>>2]=c[k+8>>2];c[j+12>>2]=c[k+12>>2];c[j+16>>2]=c[k+16>>2];c[j+20>>2]=c[k+20>>2];c[j+24>>2]=c[k+24>>2];c[j+28>>2]=c[k+28>>2];lg(m,j,4,p);c[k>>2]=c[m>>2];c[k+4>>2]=c[m+4>>2];c[k+8>>2]=c[m+8>>2];c[k+12>>2]=c[m+12>>2];c[k+16>>2]=c[m+16>>2];c[k+20>>2]=c[m+20>>2];c[k+24>>2]=c[m+24>>2];c[k+28>>2]=c[m+28>>2];if(+h[k>>3]<+h[k+16>>3]?+h[i>>3]<+h[o>>3]:0){o=c[b>>2]|0;c[b>>2]=o+1;o=g+56+(o<<5)|0;c[o>>2]=c[k>>2];c[o+4>>2]=c[k+4>>2];c[o+8>>2]=c[k+8>>2];c[o+12>>2]=c[k+12>>2];c[o+16>>2]=c[k+16>>2];c[o+20>>2]=c[k+20>>2];c[o+24>>2]=c[k+24>>2];c[o+28>>2]=c[k+28>>2]}l=n;return}function Hg(a,b,d,e,f,g,i){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0.0;n=l;l=l+128|0;j=n+96|0;k=n+64|0;o=n+32|0;m=n;jg(o,a,b,e,0,f);c[g>>2]=c[o>>2];c[g+4>>2]=c[o+4>>2];c[g+8>>2]=c[o+8>>2];c[g+12>>2]=c[o+12>>2];c[g+16>>2]=c[o+16>>2];c[g+20>>2]=c[o+20>>2];c[g+24>>2]=c[o+24>>2];c[g+28>>2]=c[o+28>>2];c[k>>2]=c[o>>2];c[k+4>>2]=c[o+4>>2];c[k+8>>2]=c[o+8>>2];c[k+12>>2]=c[o+12>>2];c[k+16>>2]=c[o+16>>2];c[k+20>>2]=c[o+20>>2];c[k+24>>2]=c[o+24>>2];c[k+28>>2]=c[o+28>>2];c[g+48>>2]=1;if(!(i<<24>>24))Pz(d,f,2,g,0);else Mz(d,f,2,g,0);b=g+52|0;f=(c[b>>2]|0)+-1|0;o=k+24|0;h[o>>3]=+h[g+56+(f<<5)+24>>3];i=k+8|0;h[i>>3]=+h[g+56+(f<<5)+8>>3];e=c[e+16>>2]|0;p=+h[e+24>>3]-+h[(c[(c[a+16>>2]|0)+196>>2]|0)+(c[e+232>>2]<<6)+24>>3];c[j>>2]=c[k>>2];c[j+4>>2]=c[k+4>>2];c[j+8>>2]=c[k+8>>2];c[j+12>>2]=c[k+12>>2];c[j+16>>2]=c[k+16>>2];c[j+20>>2]=c[k+20>>2];c[j+24>>2]=c[k+24>>2];c[j+28>>2]=c[k+28>>2];lg(m,j,1,p);c[k>>2]=c[m>>2];c[k+4>>2]=c[m+4>>2];c[k+8>>2]=c[m+8>>2];c[k+12>>2]=c[m+12>>2];c[k+16>>2]=c[m+16>>2];c[k+20>>2]=c[m+20>>2];c[k+24>>2]=c[m+24>>2];c[k+28>>2]=c[m+28>>2];if(+h[k>>3]<+h[k+16>>3]?+h[i>>3]<+h[o>>3]:0){o=c[b>>2]|0;c[b>>2]=o+1;o=g+56+(o<<5)|0;c[o>>2]=c[k>>2];c[o+4>>2]=c[k+4>>2];c[o+8>>2]=c[k+8>>2];c[o+12>>2]=c[k+12>>2];c[o+16>>2]=c[k+16>>2];c[o+20>>2]=c[k+20>>2];c[o+24>>2]=c[k+24>>2];c[o+28>>2]=c[k+28>>2]}l=n;return}function Ig(a,b,c){a=a|0;b=+b;c=+c;h[a>>3]=b;h[a+8>>3]=c;return}function Jg(b,d,e,f,g,i,j){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;j=j|0;var k=0,m=0,n=0,o=0,p=0.0,q=0.0,r=0.0,s=0.0,t=0.0,u=0.0,v=0.0,w=0.0,x=0.0,y=0,z=0,A=0.0,B=0.0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0,T=0,U=0,V=0,W=0,X=0,Y=0,Z=0.0;Y=l;l=l+288|0;R=Y+256|0;Q=Y+240|0;P=Y+224|0;V=Y+280|0;W=Y+272|0;X=Y+32|0;S=Y+16|0;T=Y;m=Y+208|0;n=Y+192|0;o=c[e+(f<<2)>>2]|0;U=vw(g<<2)|0;k=0;while(1){if((k|0)>=(g|0))break;c[U+(k<<2)>>2]=c[e+(k+f<<2)>>2];k=k+1|0}rL(U,g,4,11);e=b+16|0;f=(c[e>>2]|0)+16|0;o=o+16|0;C=(c[o>>2]|0)+16|0;c[Q>>2]=c[f>>2];c[Q+4>>2]=c[f+4>>2];c[Q+8>>2]=c[f+8>>2];c[Q+12>>2]=c[f+12>>2];c[R>>2]=c[C>>2];c[R+4>>2]=c[C+4>>2];c[R+8>>2]=c[C+8>>2];c[R+12>>2]=c[C+12>>2];Ag(m,Q,R);c[S>>2]=c[m>>2];c[S+4>>2]=c[m+4>>2];c[S+8>>2]=c[m+8>>2];c[S+12>>2]=c[m+12>>2];C=d+16|0;f=(c[C>>2]|0)+16|0;o=(c[o>>2]|0)+56|0;c[Q>>2]=c[f>>2];c[Q+4>>2]=c[f+4>>2];c[Q+8>>2]=c[f+8>>2];c[Q+12>>2]=c[f+12>>2];c[R>>2]=c[o>>2];c[R+4>>2]=c[o+4>>2];c[R+8>>2]=c[o+8>>2];c[R+12>>2]=c[o+12>>2];Ag(n,Q,R);c[T>>2]=c[n>>2];c[T+4>>2]=c[n+4>>2];c[T+8>>2]=c[n+8>>2];c[T+12>>2]=c[n+12>>2];w=+h[(c[e>>2]|0)+96>>3]+ +h[S>>3];x=+h[T>>3]-+h[(c[C>>2]|0)+88>>3];u=x+w;v=u*.5;C=c[U>>2]|0;c[X>>2]=c[S>>2];c[X+4>>2]=c[S+4>>2];c[X+8>>2]=c[S+8>>2];c[X+12>>2]=c[S+12>>2];o=X+16|0;c[o>>2]=c[S>>2];c[o+4>>2]=c[S+4>>2];c[o+8>>2]=c[S+8>>2];c[o+12>>2]=c[S+12>>2];e=X+32|0;c[e>>2]=c[T>>2];c[e+4>>2]=c[T+4>>2];c[e+8>>2]=c[T+8>>2];c[e+12>>2]=c[T+12>>2];f=X+48|0;c[f>>2]=c[T>>2];c[f+4>>2]=c[T+4>>2];c[f+8>>2]=c[T+8>>2];c[f+12>>2]=c[T+12>>2];Jz(C,c[((c[C>>2]&3|0)==2?C:C+-48|0)+40>>2]|0,X,4,17224);C=c[(c[C+16>>2]|0)+96>>2]|0;h[C+56>>3]=v;z=S+8|0;r=+h[z>>3];s=+h[C+32>>3];h[C+64>>3]=(s+6.0)*.5+r;a[C+81>>0]=1;r=r+3.0;B=+h[C+24>>3];A=(u-B)*.5;B=(B+u)*.5;C=X+24|0;D=X+40|0;E=X+56|0;F=X+64|0;G=T+8|0;H=X+72|0;I=X+80|0;J=X+88|0;K=X+96|0;L=X+104|0;M=X+112|0;N=X+120|0;O=V+4|0;n=(i|0)==6&1;q=0.0;p=0.0;s=s+r;m=1;while(1){if((m|0)>=(j|0)){y=6;break}d=c[U+(m<<2)>>2]|0;if(!(m&1)){c[X>>2]=c[S>>2];c[X+4>>2]=c[S+4>>2];c[X+8>>2]=c[S+8>>2];c[X+12>>2]=c[S+12>>2];h[o>>3]=A;h[C>>3]=+h[z>>3];h[e>>3]=A;h[D>>3]=s;h[f>>3]=B;h[E>>3]=s;h[F>>3]=B;t=+h[G>>3];h[H>>3]=t;Z=+h[T>>3];h[I>>3]=Z;h[J>>3]=t;h[K>>3]=Z;Z=s+6.0;h[L>>3]=Z;h[M>>3]=+h[S>>3];h[N>>3]=Z;s=+h[(c[(c[d+16>>2]|0)+96>>2]|0)+32>>3];t=Z+s*.5;s=Z+s}else{k=d+16|0;b=c[(c[k>>2]|0)+96>>2]|0;if((m|0)==1){p=+h[b+24>>3];q=(p+u)*.5;p=(u-p)*.5}r=r+-6.0-+h[b+32>>3];c[X>>2]=c[S>>2];c[X+4>>2]=c[S+4>>2];c[X+8>>2]=c[S+8>>2];c[X+12>>2]=c[S+12>>2];h[o>>3]=+h[S>>3];t=r+-6.0;h[C>>3]=t;h[e>>3]=+h[T>>3];h[D>>3]=t;c[f>>2]=c[T>>2];c[f+4>>2]=c[T+4>>2];c[f+8>>2]=c[T+8>>2];c[f+12>>2]=c[T+12>>2];h[F>>3]=q;h[H>>3]=+h[G>>3];h[I>>3]=q;h[J>>3]=r;h[K>>3]=p;h[L>>3]=r;h[M>>3]=p;h[N>>3]=+h[z>>3];t=+h[(c[(c[k>>2]|0)+96>>2]|0)+32>>3]*.5+r}c[O>>2]=8;c[V>>2]=X;c[P>>2]=c[S>>2];c[P+4>>2]=c[S+4>>2];c[P+8>>2]=c[S+8>>2];c[P+12>>2]=c[S+12>>2];c[Q>>2]=c[T>>2];c[Q+4>>2]=c[T+4>>2];c[Q+8>>2]=c[T+8>>2];c[Q+12>>2]=c[T+12>>2];c[R>>2]=c[V>>2];c[R+4>>2]=c[V+4>>2];k=jy(P,Q,R,W,n)|0;b=c[W>>2]|0;if(!b)break;i=c[(c[d+16>>2]|0)+96>>2]|0;h[i+56>>3]=v;h[i+64>>3]=t;a[i+81>>0]=1;Jz(d,c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0,k,b,17224);m=m+1|0}a:do if((y|0)==6){v=(x+w*2.0)*.3333333333333333;u=(x*2.0+w)*.3333333333333333;while(1){if((m|0)>=(g|0))break;d=c[U+(m<<2)>>2]|0;if(!(m&1)){c[X>>2]=c[S>>2];c[X+4>>2]=c[S+4>>2];c[X+8>>2]=c[S+8>>2];c[X+12>>2]=c[S+12>>2];h[o>>3]=A;h[C>>3]=+h[z>>3];h[e>>3]=A;h[D>>3]=s;h[f>>3]=B;h[E>>3]=s;h[F>>3]=B;t=+h[G>>3];h[H>>3]=t;Z=+h[T>>3];h[I>>3]=Z;h[J>>3]=t;h[K>>3]=Z;Z=s+6.0;h[L>>3]=Z;h[M>>3]=+h[S>>3];s=Z;t=p;p=Z}else{y=(m|0)==1;t=y?v:p;q=y?u:q;p=r+-6.0;c[X>>2]=c[S>>2];c[X+4>>2]=c[S+4>>2];c[X+8>>2]=c[S+8>>2];c[X+12>>2]=c[S+12>>2];h[o>>3]=+h[S>>3];r=r+-12.0;h[C>>3]=r;h[e>>3]=+h[T>>3];h[D>>3]=r;c[f>>2]=c[T>>2];c[f+4>>2]=c[T+4>>2];c[f+8>>2]=c[T+8>>2];c[f+12>>2]=c[T+12>>2];h[F>>3]=q;h[H>>3]=+h[G>>3];h[I>>3]=q;h[J>>3]=p;h[K>>3]=t;h[L>>3]=p;h[M>>3]=t;r=p;p=+h[z>>3]}h[N>>3]=p;c[O>>2]=8;c[V>>2]=X;c[P>>2]=c[S>>2];c[P+4>>2]=c[S+4>>2];c[P+8>>2]=c[S+8>>2];c[P+12>>2]=c[S+12>>2];c[Q>>2]=c[T>>2];c[Q+4>>2]=c[T+4>>2];c[Q+8>>2]=c[T+8>>2];c[Q+12>>2]=c[T+12>>2];c[R>>2]=c[V>>2];c[R+4>>2]=c[V+4>>2];k=jy(P,Q,R,W,n)|0;b=c[W>>2]|0;if(!b)break a;Jz(d,c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0,k,b,17224);m=m+1|0;p=t}_I(U)}while(0);l=Y;return}function Kg(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0;g=l;l=l+16|0;f=g;j=(qn(b)|0)==0;j=j?17648:17640;a[f>>0]=a[j>>0]|0;a[f+1>>0]=a[j+1>>0]|0;a[f+2>>0]=a[j+2>>0]|0;a[f+3>>0]=a[j+3>>0]|0;f=gn(78335,f,0)|0;No(f,122277,280,1)|0;ym(f,0,80018,174181)|0;j=vw(96)|0;e=c[f+16>>2]|0;c[e+8>>2]=j;i=c[b+16>>2]|0;k=c[i+8>>2]|0;h[j>>3]=+h[k>>3];h[j+24>>3]=+h[k+24>>3];a[e+115>>0]=a[i+115>>0]|0;c[e+116>>2]=c[i+116>>2]&1^1;c[e+248>>2]=c[i+248>>2];c[e+252>>2]=c[i+252>>2];e=Dm(so(b)|0,1,0)|0;while(1){if(!e)break;ym(f,1,c[e+8>>2]|0,c[e+12>>2]|0)|0;e=Dm(so(b)|0,1,e)|0}e=Dm(so(b)|0,2,0)|0;while(1){if(!e)break;ym(f,2,c[e+8>>2]|0,c[e+12>>2]|0)|0;e=Dm(so(b)|0,2,e)|0}if(!(ym(f,2,96251,0)|0))ym(f,2,96251,174181)|0;if(!(ym(f,2,96242,0)|0))ym(f,2,96242,174181)|0;Pg(f,d);l=g;return f|0}function Lg(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;e=l;l=l+16|0;d=e;a=no(a,Dn(b)|0,1)|0;No(a,122241,304,1)|0;Mm(b,a)|0;if((By(b)|0)==2){f=b+16|0;b=ww((rJ(c[c[(c[f>>2]|0)+104>>2]>>2]|0)|0)+3|0)|0;c[d>>2]=c[c[(c[f>>2]|0)+104>>2]>>2];pL(b,78330,d)|0;Km(a,86240,b)|0}l=e;return a|0}function Mg(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;c=an(a,b,c,0,1)|0;No(c,122254,176,1)|0;Mm(d,c)|0;return c|0}function Ng(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0.0;i=l;l=l+32|0;g=i+16|0;f=i;if(e|0){j=+h[b>>3];e=b+8|0;h[b>>3]=+h[e>>3];h[e>>3]=-j};c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];c[g>>2]=c[d>>2];c[g+4>>2]=c[d+4>>2];c[g+8>>2]=c[d+8>>2];c[g+12>>2]=c[d+12>>2];Ag(a,f,g);l=i;return}function Og(a,b){a=a|0;b=b|0;c[42233]=c[b>>2];c[42237]=c[b+4>>2];c[42238]=c[b+8>>2];c[42218]=c[b+12>>2];c[42219]=c[b+16>>2];c[42225]=c[b+20>>2];c[42224]=c[b+24>>2];c[42223]=c[b+28>>2];c[42249]=c[b+32>>2];c[42241]=c[b+36>>2];c[42226]=c[b+40>>2];c[42236]=c[b+44>>2];c[42245]=c[b+48>>2];c[42244]=c[b+52>>2];c[42243]=c[b+56>>2];c[42248]=c[b+60>>2];c[42242]=c[b+64>>2];c[42227]=c[b+68>>2];c[42189]=c[b+72>>2];c[42190]=c[b+76>>2];c[42191]=c[b+80>>2];c[42201]=c[b+84>>2];c[42194]=c[b+88>>2];c[42195]=c[b+92>>2];c[42196]=c[b+96>>2];c[42198]=c[b+100>>2];c[42199]=c[b+104>>2];c[42202]=c[b+108>>2];c[42205]=c[b+112>>2];c[42203]=c[b+116>>2];c[42204]=c[b+120>>2];c[42207]=c[b+124>>2];c[42206]=c[b+128>>2];c[42208]=c[b+132>>2];c[42209]=c[b+136>>2];c[42200]=c[b+140>>2];c[42212]=c[b+144>>2];c[42184]=c[b+148>>2];c[42181]=c[b+152>>2];_I(b);Ef(a);ln(a)|0;return}function Pg(a,b){a=a|0;b=b|0;c[b>>2]=c[42233];c[b+4>>2]=c[42237];c[b+8>>2]=c[42238];c[b+12>>2]=c[42218];c[b+16>>2]=c[42219];c[b+20>>2]=c[42225];c[b+24>>2]=c[42224];c[b+28>>2]=c[42223];c[b+32>>2]=c[42249];c[b+36>>2]=c[42241];c[b+40>>2]=c[42226];c[b+44>>2]=c[42236];c[b+48>>2]=c[42245];c[b+52>>2]=c[42244];c[b+56>>2]=c[42243];c[b+60>>2]=c[42248];c[b+64>>2]=c[42242];c[b+68>>2]=c[42227];c[b+72>>2]=c[42189];c[b+76>>2]=c[42190];c[b+80>>2]=c[42191];c[b+84>>2]=c[42201];c[b+88>>2]=c[42194];c[b+92>>2]=c[42195];c[b+96>>2]=c[42196];c[b+100>>2]=c[42198];c[b+104>>2]=c[42199];c[b+108>>2]=c[42202];c[b+112>>2]=c[42205];c[b+116>>2]=c[42203];c[b+120>>2]=c[42204];c[b+124>>2]=c[42207];c[b+128>>2]=c[42206];c[b+132>>2]=c[42208];c[b+136>>2]=c[42209];c[b+140>>2]=c[42200];c[b+144>>2]=c[42212];c[b+152>>2]=c[42181];c[b+148>>2]=c[42184];c[42233]=0;c[42237]=ym(a,2,80259,0)|0;c[42238]=ym(a,2,80268,0)|0;b=ym(a,2,86614,0)|0;c[42218]=b;if(!b)c[42218]=ym(a,2,86614,174181)|0;c[42219]=0;c[42225]=0;c[42224]=ym(a,2,86494,0)|0;c[42223]=ym(a,2,86485,0)|0;c[42249]=ym(a,2,86790,0)|0;c[42241]=0;c[42226]=ym(a,2,86240,0)|0;c[42236]=ym(a,2,78340,0)|0;c[42245]=0;c[42244]=ym(a,2,86690,0)|0;c[42243]=ym(a,2,86676,0)|0;c[42248]=ym(a,2,86781,0)|0;c[42242]=0;c[42227]=0;c[42189]=ym(a,1,96049,0)|0;c[42190]=ym(a,1,96043,0)|0;c[42191]=ym(a,1,90671,0)|0;c[42201]=0;c[42194]=ym(a,1,86485,0)|0;c[42195]=ym(a,1,86494,0)|0;c[42196]=0;c[42198]=ym(a,1,86240,0)|0;c[42199]=0;c[42202]=0;c[42205]=ym(a,1,86446,0)|0;c[42203]=ym(a,1,86529,0)|0;c[42204]=ym(a,1,86535,0)|0;c[42207]=ym(a,1,86547,0)|0;c[42206]=ym(a,1,86385,0)|0;c[42208]=ym(a,1,86552,0)|0;c[42209]=ym(a,1,78352,0)|0;c[42200]=0;c[42212]=0;c[42184]=ym(a,0,86446,0)|0;return}function Qg(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0.0,g=0.0,i=0.0;d=c[(c[(c[a>>2]|0)+16>>2]|0)+96>>2]|0;a=c[(c[(c[b>>2]|0)+16>>2]|0)+96>>2]|0;b=(a|0)!=0;if(d)if(b?(f=+h[d+24>>3],i=+h[d+32>>3],e=+h[a+24>>3],g=+h[a+32>>3],!(f>e)):0)if(!(f<e))if(i>g)a=-1;else a=i<g&1;else a=1;else a=-1;else a=b&1;return a|0}function Rg(a){a=a|0;var b=0,d=0,e=0;while(1){b=c[(c[a+16>>2]|0)+116>>2]|0;if(!b)break;else a=b}b=c[a>>2]&3;d=c[(c[((b|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0;e=c[d+232>>2]|0;a=c[(c[((b|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0;b=c[a+232>>2]|0;if((e|0)<=(b|0))if((e|0)<(b|0))a=1;else a=(c[d+236>>2]|0)<(c[a+236>>2]|0)&1;else a=0;return a|0}function Sg(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;d=l;l=l+16|0;e=d+8|0;f=d;h=(c[a+16>>2]|0)+180|0;g=(c[b+16>>2]|0)+172|0;c[f>>2]=c[h>>2];c[f+4>>2]=c[h+4>>2];c[e>>2]=c[g>>2];c[e+4>>2]=c[g+4>>2];b=Tg(a,f,b,e)|0;l=d;return b|0}function Tg(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;f=c[b+4>>2]|0;a:do if((f|0)>0?(g=c[e+4>>2]|0,(g|0)>0):0)if((f|0)<(g|0)){f=c[b>>2]|0;e=0;while(1){b=c[f+(e<<2)>>2]|0;if(!b){b=0;break a}if((c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)==(d|0))break;else e=e+1|0}}else{f=c[e>>2]|0;e=0;while(1){b=c[f+(e<<2)>>2]|0;if(!b){b=0;break a}if((c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)==(a|0))break;else e=e+1|0}}else b=0;while(0);return b|0}function Ug(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;d=l;l=l+16|0;e=d+8|0;f=d;h=(c[a+16>>2]|0)+188|0;g=(c[b+16>>2]|0)+196|0;c[f>>2]=c[h>>2];c[f+4>>2]=c[h+4>>2];c[e>>2]=c[g>>2];c[e+4>>2]=c[g+4>>2];b=Tg(a,f,b,e)|0;l=d;return b|0}function Vg(a){a=a|0;var b=0,d=0,e=0,f=0;e=a+48|0;d=c[(c[((c[a>>2]&3|0)==3?a:e)+40>>2]|0)+16>>2]|0;b=c[d+180>>2]|0;if(!b)b=ww((c[d+184>>2]<<2)+8|0)|0;else b=yw(b,(c[d+184>>2]<<2)+8|0)|0;c[(c[(c[((c[a>>2]&3|0)==3?a:e)+40>>2]|0)+16>>2]|0)+180>>2]=b;f=c[(c[((c[a>>2]&3|0)==3?a:e)+40>>2]|0)+16>>2]|0;d=c[f+180>>2]|0;f=f+184|0;b=c[f>>2]|0;c[f>>2]=b+1;c[d+(b<<2)>>2]=a;e=c[(c[((c[a>>2]&3|0)==3?a:e)+40>>2]|0)+16>>2]|0;c[(c[e+180>>2]|0)+(c[e+184>>2]<<2)>>2]=0;e=a+-48|0;b=c[(c[((c[a>>2]&3|0)==2?a:e)+40>>2]|0)+16>>2]|0;d=c[b+172>>2]|0;if(!d)b=ww((c[b+176>>2]<<2)+8|0)|0;else b=yw(d,(c[b+176>>2]<<2)+8|0)|0;c[(c[(c[((c[a>>2]&3|0)==2?a:e)+40>>2]|0)+16>>2]|0)+172>>2]=b;b=c[(c[((c[a>>2]&3|0)==2?a:e)+40>>2]|0)+16>>2]|0;d=c[b+172>>2]|0;b=b+176|0;f=c[b>>2]|0;c[b>>2]=f+1;c[d+(f<<2)>>2]=a;f=c[(c[((c[a>>2]&3|0)==2?a:e)+40>>2]|0)+16>>2]|0;c[(c[f+172>>2]|0)+(c[f+176>>2]<<2)>>2]=0;return a|0}function Wg(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;e=a+4|0;f=c[e>>2]|0;d=0;while(1){if((d|0)>=(f|0))break;g=c[a>>2]|0;h=g+(d<<2)|0;if((c[h>>2]|0)==(b|0)){i=4;break}else d=d+1|0}if((i|0)==4){i=f+-1|0;c[e>>2]=i;c[h>>2]=c[g+(i<<2)>>2];c[(c[a>>2]|0)+(i<<2)>>2]=0}return}function Xg(a){a=a|0;if(!a)ma(78393,78403,117,78412);else{Wg((c[(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+180|0,a);Wg((c[(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+172|0,a);return}}function Yg(a){a=a|0;var b=0,d=0,e=0,f=0;e=a+48|0;d=c[(c[((c[a>>2]&3|0)==3?a:e)+40>>2]|0)+16>>2]|0;b=c[d+204>>2]|0;if(!b)b=ww((c[d+208>>2]<<2)+8|0)|0;else b=yw(b,(c[d+208>>2]<<2)+8|0)|0;c[(c[(c[((c[a>>2]&3|0)==3?a:e)+40>>2]|0)+16>>2]|0)+204>>2]=b;f=c[(c[((c[a>>2]&3|0)==3?a:e)+40>>2]|0)+16>>2]|0;b=c[f+204>>2]|0;f=f+208|0;d=c[f>>2]|0;c[f>>2]=d+1;c[b+(d<<2)>>2]=a;e=c[(c[((c[a>>2]&3|0)==3?a:e)+40>>2]|0)+16>>2]|0;c[(c[e+204>>2]|0)+(c[e+208>>2]<<2)>>2]=0;return}function Zg(a){a=a|0;_g(a,(c[(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+204|0);return}function _g(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;h=b+4|0;e=c[h>>2]|0;f=c[b>>2]|0;d=0;while(1){if((d|0)>=(e|0)){g=4;break}if((c[f+(d<<2)>>2]|0)==(a|0))break;else d=d+1|0}if((g|0)==4){if(!f)d=ww((e<<2)+8|0)|0;else d=yw(f,(e<<2)+8|0)|0;c[b>>2]=d;f=c[h>>2]|0;g=f+1|0;c[h>>2]=g;c[d+(f<<2)>>2]=a;c[(c[b>>2]|0)+(g<<2)>>2]=0}return}function $g(d,e,f){d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0;n=vw(96)|0;g=n+48|0;c[g>>2]=c[g>>2]|3;c[n>>2]=c[n>>2]&-4|2;h=vw(176)|0;m=n+16|0;c[m>>2]=h;c[((c[n>>2]&3|0)==3?n:g)+40>>2]=d;j=n+-48|0;c[((c[n>>2]&3|0)==2?n:j)+40>>2]=e;a[h+112>>0]=1;if(!f){c[h+156>>2]=1;b[h+154>>1]=1;b[h+168>>1]=1;b[h+170>>1]=1}else{c[n>>2]=c[n>>2]&15|c[f>>2]&-16;c[g>>2]=c[g>>2]&15|c[f>>2]&-16;l=f+16|0;i=c[l>>2]|0;b[h+168>>1]=b[i+168>>1]|0;b[h+154>>1]=b[i+154>>1]|0;c[h+156>>2]=c[i+156>>2];b[h+170>>1]=b[i+170>>1]|0;d=c[((c[n>>2]&3|0)==3?n:g)+40>>2]|0;e=c[f>>2]&3;k=f+48|0;if((d|0)!=(c[((e|0)==3?f:k)+40>>2]|0)){g=f+-48|0;if((d|0)==(c[((e|0)==2?f:g)+40>>2]|0)){h=h+16|0;d=i+56|0;e=h+40|0;do{c[h>>2]=c[d>>2];h=h+4|0;d=d+4|0}while((h|0)<(e|0))}}else{h=h+16|0;d=i+16|0;e=h+40|0;do{c[h>>2]=c[d>>2];h=h+4|0;d=d+4|0}while((h|0)<(e|0));g=f+-48|0}d=c[((c[n>>2]&3|0)==2?n:j)+40>>2]|0;e=c[f>>2]&3;if((d|0)!=(c[((e|0)==2?f:g)+40>>2]|0)){if((d|0)==(c[((e|0)==3?f:k)+40>>2]|0)){h=(c[m>>2]|0)+56|0;d=(c[l>>2]|0)+16|0;e=h+40|0;do{c[h>>2]=c[d>>2];h=h+4|0;d=d+4|0}while((h|0)<(e|0))}}else{h=(c[m>>2]|0)+56|0;d=(c[l>>2]|0)+56|0;e=h+40|0;do{c[h>>2]=c[d>>2];h=h+4|0;d=d+4|0}while((h|0)<(e|0))}d=(c[l>>2]|0)+172|0;if(!(c[d>>2]|0))c[d>>2]=n;c[(c[m>>2]|0)+116>>2]=f}return n|0}function ah(a,b,c){a=a|0;b=b|0;c=c|0;return Vg($g(a,b,c)|0)|0}function bh(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;a=(c[a+16>>2]|0)+192|0;f=c[a>>2]|0;d=c[b+16>>2]|0;c[d+164>>2]=f;e=f;if(f|0)c[(c[e+16>>2]|0)+168>>2]=b;c[a>>2]=b;c[d+168>>2]=0;if((e|0)==(b|0))ma(78429,78403,215,78445);else return}function ch(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;if((a|0)==(b|0))ma(78455,78403,220,78462);f=c[b+16>>2]|0;d=f+164|0;if(c[d>>2]|0)ma(78475,78403,221,78462);e=(c[a+16>>2]|0)+164|0;c[d>>2]=c[e>>2];d=c[e>>2]|0;if(d|0)c[(c[d+16>>2]|0)+168>>2]=b;c[f+168>>2]=a;c[e>>2]=b;return}function dh(a,b){a=a|0;b=b|0;var d=0,e=0;if(!(eh(a,b)|0))ma(78494,78403,231,78515);b=c[b+16>>2]|0;d=c[b+164>>2]|0;e=d;b=b+168|0;if(d|0)c[(c[d+16>>2]|0)+168>>2]=c[b>>2];b=c[b>>2]|0;if(!b)c[(c[a+16>>2]|0)+192>>2]=e;else c[(c[b+16>>2]|0)+164>>2]=e;return}function eh(a,b){a=a|0;b=b|0;a=(c[a+16>>2]|0)+192|0;while(1){a=c[a>>2]|0;if((a|0)==0|(a|0)==(b|0))break;a=(c[a+16>>2]|0)+164|0}return a|0}function fh(b){b=b|0;var d=0,e=0,f=0,g=0;d=vw(64)|0;c[d>>2]=c[d>>2]&-4|1;e=d+16|0;c[e>>2]=vw(304)|0;c[d+24>>2]=so(b)|0;g=c[e>>2]|0;a[g+156>>0]=1;h[g+96>>3]=1.0;h[g+88>>3]=1.0;h[g+80>>3]=1.0;c[g+216>>2]=1;c[g+176>>2]=0;g=vw(20)|0;f=c[e>>2]|0;c[f+172>>2]=g;c[f+184>>2]=0;f=vw(20)|0;c[(c[e>>2]|0)+180>>2]=f;bh(b,d);b=(c[b+16>>2]|0)+232|0;c[b>>2]=(c[b>>2]|0)+1;return d|0}function gh(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0;g=d+48|0;e=c[(c[((c[d>>2]&3|0)==3?d:g)+40>>2]|0)+16>>2]|0;f=c[e+188>>2]|0;if(!f)e=ww((c[e+192>>2]<<2)+8|0)|0;else e=yw(f,(c[e+192>>2]<<2)+8|0)|0;c[(c[(c[((c[d>>2]&3|0)==3?d:g)+40>>2]|0)+16>>2]|0)+188>>2]=e;h=c[(c[((c[d>>2]&3|0)==3?d:g)+40>>2]|0)+16>>2]|0;f=c[h+188>>2]|0;h=h+192|0;e=c[h>>2]|0;c[h>>2]=e+1;c[f+(e<<2)>>2]=d;g=c[(c[((c[d>>2]&3|0)==3?d:g)+40>>2]|0)+16>>2]|0;c[(c[g+188>>2]|0)+(c[g+192>>2]<<2)>>2]=0;g=d+-48|0;e=c[(c[((c[d>>2]&3|0)==2?d:g)+40>>2]|0)+16>>2]|0;f=c[e+196>>2]|0;if(!f)e=ww((c[e+200>>2]<<2)+8|0)|0;else e=yw(f,(c[e+200>>2]<<2)+8|0)|0;c[(c[(c[((c[d>>2]&3|0)==2?d:g)+40>>2]|0)+16>>2]|0)+196>>2]=e;e=c[(c[((c[d>>2]&3|0)==2?d:g)+40>>2]|0)+16>>2]|0;f=c[e+196>>2]|0;e=e+200|0;h=c[e>>2]|0;c[e>>2]=h+1;c[f+(h<<2)>>2]=d;h=c[(c[((c[d>>2]&3|0)==2?d:g)+40>>2]|0)+16>>2]|0;c[(c[h+196>>2]|0)+(c[h+200>>2]<<2)>>2]=0;a[(c[b+16>>2]|0)+240>>0]=1;a[(c[(Vf(b)|0)+16>>2]|0)+240>>0]=1;return}function hh(a){a=a|0;var b=0,d=0;if(!a)ma(78393,78403,269,78532);b=c[(c[a+16>>2]|0)+116>>2]|0;if(b|0?(d=(c[b+16>>2]|0)+172|0,(c[d>>2]|0)==(a|0)):0)c[d>>2]=0;Wg((c[(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+188|0,a);Wg((c[(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+196|0,a);return}function ih(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;f=l;l=l+16|0;d=(c[a+16>>2]|0)+172|0;e=c[d>>2]|0;do if((e|0)!=(b|0))if(!e){c[d>>2]=b;jh(a,b);break}else ma(80440,78403,340,78570);else _l(0,78549,f)|0;while(0);l=f;return}function jh(a,d){a=a|0;d=d|0;var f=0,g=0,h=0,i=0;f=(c[d+16>>2]|0)+170|0;i=c[a+16>>2]|0;a=b[i+170>>1]|0;if((e[f>>1]|0)<(a&65535))b[f>>1]=a;g=i+168|0;h=i+154|0;f=i+156|0;a=d;while(1){if(!a)break;d=c[a+16>>2]|0;i=d+168|0;b[i>>1]=(e[i>>1]|0)+(e[g>>1]|0);i=d+154|0;b[i>>1]=(e[i>>1]|0)+(e[h>>1]|0);i=d+156|0;c[i>>2]=(c[i>>2]|0)+(c[f>>2]|0);a=c[d+172>>2]|0}return}function kh(d){d=d|0;var e=0,f=0,g=0,h=0;f=d+16|0;e=c[(c[f>>2]|0)+172>>2]|0;a:while(1){if(!e)break;lh(e,d);h=c[e+16>>2]|0;g=c[h+172>>2]|0;if(!(b[h+168>>1]|0))mh(e);while(1){if((a[(c[e+16>>2]|0)+112>>0]|0)!=1){e=g;continue a}e=c[(c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0)+16>>2]|0;if((a[e+156>>0]|0)!=1){e=g;continue a}if((c[e+184>>2]|0)!=1){e=g;continue a}e=c[c[e+180>>2]>>2]|0;lh(e,d)}}c[(c[f>>2]|0)+172>>2]=0;return}function lh(a,d){a=a|0;d=d|0;var f=0;f=c[d+16>>2]|0;d=c[a+16>>2]|0;a=d+168|0;b[a>>1]=(e[a>>1]|0)-(e[f+168>>1]|0);a=d+154|0;b[a>>1]=(e[a>>1]|0)-(e[f+154>>1]|0);d=d+156|0;c[d>>2]=(c[d>>2]|0)-(c[f+156>>2]|0);return}function mh(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;if(!a)ma(78393,78403,128,78583);g=a+48|0;d=0;while(1){b=c[a>>2]|0;e=(c[(c[((b&3|0)==3?a:g)+40>>2]|0)+16>>2]|0)+180|0;f=c[(c[e>>2]|0)+(d<<2)>>2]|0;if(!f)break;if((f|0)==(a|0))Wg(e,a);d=d+1|0}g=a+-48|0;f=0;while(1){d=(c[(c[((b&3|0)==2?a:g)+40>>2]|0)+16>>2]|0)+172|0;e=c[(c[d>>2]|0)+(f<<2)>>2]|0;if(!e)break;if((e|0)==(a|0)){Wg(d,a);b=c[a>>2]|0}f=f+1|0}return}function nh(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;p=l;l=l+1040|0;n=p+1032|0;o=p;m=p+8|0;k=d+16|0;d=c[k>>2]|0;j=b[d+236>>1]|0;while(1){if((j|0)>(b[d+238>>1]|0))break;i=c[d+196>>2]|0;h=i+(j<<6)|0;i=i+(j<<6)+4|0;g=0;d=0;while(1){if((g|0)>=(c[h>>2]|0))break;e=c[(c[i>>2]|0)+(g<<2)>>2]|0;f=e+16|0;if(c[(c[f>>2]|0)+112>>2]|0){if(!d){a[n>>0]=a[17644]|0;a[n+1>>0]=a[17645]|0;a[n+2>>0]=a[17646]|0;a[n+3>>0]=a[17647]|0;d=gn(78605,n,0)|0}c[o>>2]=g;pL(m,122187,o)|0;t=no(d,m,1)|0;No(t,78608,24,1)|0;q=c[(c[f>>2]|0)+180>>2]|0;r=c[q>>2]|0;r=c[(c[(c[((c[r>>2]&3|0)==2?r:r+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;q=c[q+4>>2]|0;q=c[(c[(c[((c[q>>2]&3|0)==2?q:q+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;s=(r|0)>(q|0);f=c[t+16>>2]|0;c[f+12>>2]=s?q:r;c[f+16>>2]=s?r:q;c[f+20>>2]=e}g=g+1|0}if(d|0){if((mn(d)|0)>1)oh(d,h);ln(d)|0}j=j+1|0;d=c[k>>2]|0}l=p;return}function oh(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;d=0;h=co(a)|0;a:while(1){if(!h)break;i=eo(a,h)|0;j=h+16|0;g=i;while(1){if(!g){h=i;continue a}f=c[g+16>>2]|0;e=c[j>>2]|0;if((c[f+16>>2]|0)>(c[e+12>>2]|0)){if((c[e+16>>2]|0)<=(c[f+12>>2]|0))an(a,h,g,0,1)|0}else{an(a,g,h,0,1)|0;d=1}g=eo(a,g)|0}}do if(d|0){h=Ip(a,78613,1)|0;j=vw((mn(a)|0)<<2)|0;i=vw((mn(a)|0)<<2)|0;f=b+4|0;e=co(a)|0;b:while(1){if(!e){d=23;break}if((c[(c[e+16>>2]|0)+8>>2]|0)==0?on(a,e,1,1)|0:0){c:do if(ph(a,e,h,i)|0){g=mn(h)|0;if((qh(a,h,j)|0)!=(g|0)){d=17;break b}rL(i,g,4,12);d=0;while(1){if((d|0)>=(g|0))break c;b=i+(d<<2)|0;k=c[j+(d<<2)>>2]|0;c[(c[k+16>>2]|0)+236>>2]=c[b>>2];c[(c[f>>2]|0)+(c[b>>2]<<2)>>2]=k;d=d+1|0}}while(0);sh(h)}e=eo(a,e)|0}if((d|0)==17)ma(78618,78628,265,78639);else if((d|0)==23){_I(j);break}}while(0);return}function ph(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;h=c[b+16>>2]|0;c[h+8>>2]=1;h=c[(c[(c[h+20>>2]|0)+16>>2]|0)+236>>2]|0;c[e+((mn(d)|0)<<2)>>2]=h;io(d,b,1)|0;h=Pm(a,b)|0;f=0;while(1){if(!h)break;j=c[h>>2]&3;g=c[((j|0)==2?h:h+-48|0)+40>>2]|0;i=c[g+16>>2]|0;f=f+((c[(c[(c[i+20>>2]|0)+16>>2]|0)+236>>2]|0)>(c[(c[(c[(c[(c[((j|0)==3?h:h+48|0)+40>>2]|0)+16>>2]|0)+20>>2]|0)+16>>2]|0)+236>>2]|0)&1)|0;if(!(c[i+8>>2]|0))f=(ph(a,g,d,e)|0)+f|0;h=Rm(a,h)|0}h=Sm(a,b)|0;while(1){if(!h)break;i=c[h>>2]&3;g=c[((i|0)==3?h:h+48|0)+40>>2]|0;j=c[g+16>>2]|0;f=f+((c[(c[(c[(c[(c[((i|0)==2?h:h+-48|0)+40>>2]|0)+16>>2]|0)+20>>2]|0)+16>>2]|0)+236>>2]|0)>(c[(c[(c[j+20>>2]|0)+16>>2]|0)+236>>2]|0)&1)|0;if(!(c[j+8>>2]|0))f=(ph(a,g,d,e)|0)+f|0;h=Tm(a,h)|0}return f|0}function qh(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;f=0;while(1){e=th(a,b)|0;if(!e)break;c[d+(f<<2)>>2]=c[(c[e+16>>2]|0)+20>>2];po(b,e)|0;e=Pm(a,e)|0;while(1){if(!e)break;g=Rm(a,e)|0;dn(a,e)|0;e=g}f=f+1|0}return f|0}function rh(a,b){a=a|0;b=b|0;return (c[a>>2]|0)-(c[b>>2]|0)|0}function sh(a){a=a|0;var b=0,c=0;b=co(a)|0;while(1){if(!b)break;c=eo(a,b)|0;po(a,b)|0;b=c}return}function th(a,b){a=a|0;b=b|0;var c=0;c=co(b)|0;while(1){if(!c){c=0;break}if(!(on(a,c,1,0)|0))break;c=eo(b,c)|0}return c|0}function uh(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;vh(b);i=b+16|0;f=0;e=0;while(1){if((f|0)>=(c[(c[i>>2]|0)+220>>2]|0))break;wh(b,f);f=f+1|0;e=(xh(b,0,d)|0)+e|0}yh(b);h=1;while(1){f=c[i>>2]|0;g=c[f+180>>2]|0;if((h|0)>(g|0))break;g=(zh(c[(c[f+184>>2]|0)+(h<<2)>>2]|0,d)|0)+e|0;h=h+1|0;e=g}do if((g|0)>0){f=Im(b,78653)|0;if(f|0?(IA(f)|0)<<24>>24==0:0)break;Yk(b);a[173893]=1;e=xh(b,2,d)|0}while(0);Ah(b,e);return}function vh(d){d=d|0;var e=0;if(0)xA();a[173893]=0;c[41927]=d;e=((nn(Vf(d)|0)|0)<<2)+4|0;c[41926]=vw(e)|0;c[41925]=vw(e)|0;qi(d);e=d+16|0;if(b[(c[e>>2]|0)+136>>1]&16)ri(d);Fk(d);tl(d,1);si(d);Hh(d);e=c[e>>2]|0;c[41928]=b[e+236>>1];c[41929]=b[e+238>>1];return}function wh(a,d){a=a|0;d=d|0;var e=0,f=0,g=0;a=c[a+16>>2]|0;c[a+192>>2]=c[(c[a+216>>2]|0)+(d<<2)>>2];a:do if((d|0)>0){d=b[a+238>>1]|0;e=a+196|0;a=b[a+236>>1]|0;while(1){if((a|0)>(d|0))break a;f=c[e>>2]|0;g=f+(a<<6)+4|0;f=f+(a<<6)|0;c[g>>2]=(c[g>>2]|0)+(c[f>>2]<<2);c[f>>2]=0;a=a+1|0}}while(0);return}function xh(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+32|0;n=o;if((b|0)>1){e=Xh(0)|0;Yh(a)}else e=2147483647;m=c[13918]|0;k=b;f=0;b=e;while(1){if((k|0)>=3)break;f=c[42180]|0;if((k|0)==2)if((e|0)>(b|0)){_h(a);e=b}else e=b;else{e=(f|0)<4?f:4;if((Vf(a)|0)==(a|0))Zh(a,k);if(!k)Ih(a);Jh(a);g=Xh(0)|0;if((g|0)>(b|0)){f=e;e=g}else{Yh(a);f=e;e=g;b=g}}g=0;j=0;while(1){if((j|0)>=(f|0))break;if(0){c[n>>2]=k;c[n+4>>2]=j;c[n+8>>2]=g;c[n+12>>2]=e;c[n+16>>2]=b;zL(m,79046,n)|0}i=g+1|0;if((e|0)==0|(g|0)>=(c[41930]|0))break;$h(a,j);e=Xh(0)|0;if((e|0)>(b|0))g=i;else{Yh(a);g=+h[20878]*+(b|0)>+(e|0)?0:i;b=e}j=j+1|0}if(!e){e=0;break}else k=k+1|0}if((e|0)>(b|0))_h(a);if((b|0)>0){ai(a,0);e=Xh(0)|0}else e=b;a:do if(d|0){b=0;while(1){if((b|0)>=(f|0))break a;bi(a);b=b+1|0}}while(0);l=o;return e|0}function yh(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;p=l;l=l+16|0;n=p;Wh(a);k=a+16|0;d=c[k>>2]|0;m=c[13918]|0;j=b[d+236>>1]|0;while(1){if((j|0)>(b[d+238>>1]|0))break;e=c[d+196>>2]|0;f=c[e+(j<<6)+8>>2]|0;c[e+(j<<6)>>2]=f;g=c[e+(j<<6)+12>>2]|0;c[e+(j<<6)+4>>2]=g;i=0;while(1){if((i|0)>=(f|0))break;h=c[g+(i<<2)>>2]|0;if(!h){o=6;break}c[(c[h+16>>2]|0)+236>>2]=i;i=i+1|0}if((o|0)==6){o=0;if(0){e=Dn(a)|0;d=c[(c[(c[k>>2]|0)+196>>2]|0)+(j<<6)>>2]|0;c[n>>2]=e;c[n+4>>2]=j;c[n+8>>2]=i;c[n+12>>2]=d;zL(m,78996,n)|0;d=c[k>>2]|0;e=c[d+196>>2]|0}c[e+(j<<6)>>2]=i}j=j+1|0}l=p;return}function zh(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;Sk(a);Hh(a);Ih(a);Jh(a);f=a+16|0;d=xh(a,2,b)|0;e=1;while(1){g=c[f>>2]|0;if((e|0)>(c[g+180>>2]|0))break;d=(zh(c[(c[g+184>>2]|0)+(e<<2)>>2]|0,b)|0)+d|0;e=e+1|0}Kh(a);return d|0}function Ah(d,e){d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0;q=l;l=l+16|0;p=q;f=c[41925]|0;if(f|0){_I(f);c[41925]=0}f=c[41926]|0;if(f|0){_I(f);c[41926]=0}o=d+16|0;f=1;while(1){g=c[o>>2]|0;if((f|0)>(c[g+180>>2]|0))break;Bh(c[(c[g+184>>2]|0)+(f<<2)>>2]|0);f=f+1|0}n=b[g+236>>1]|0;f=g;while(1){if((n|0)>(b[f+238>>1]|0))break;else m=0;while(1){f=c[f+196>>2]|0;if((m|0)>=(c[f+(n<<6)>>2]|0))break;k=(c[(c[f+(n<<6)+4>>2]|0)+(m<<2)>>2]|0)+16|0;f=c[k>>2]|0;c[f+236>>2]=m;f=c[f+188>>2]|0;a:do if(f|0){g=0;while(1){i=c[f+(g<<2)>>2]|0;if(!i)break a;j=i+16|0;if((a[(c[j>>2]|0)+112>>0]|0)==4){hh(i);_I(c[j>>2]|0);_I(i);g=g+-1|0;f=c[(c[k>>2]|0)+188>>2]|0}g=g+1|0}}while(0);m=m+1|0;f=c[o>>2]|0}Ch(c[f+(n<<6)+56>>2]|0);n=n+1|0;f=c[o>>2]|0}if(0){o=c[13918]|0;d=Dn(d)|0;r=+yA();c[p>>2]=d;c[p+4>>2]=e;h[p+8>>3]=r;zL(o,78664,p)|0}l=q;return}function Bh(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;g=a+16|0;d=1;while(1){f=c[g>>2]|0;if((d|0)>(c[f+180>>2]|0))break;Bh(c[(c[f+184>>2]|0)+(d<<2)>>2]|0);d=d+1|0}a:do if(c[f+268>>2]|0){e=b[f+236>>1]|0;d=f;while(1){if((e|0)>(b[d+238>>1]|0))break a;j=c[(c[d+268>>2]|0)+(e<<2)>>2]|0;i=Dh(a,j,-1)|0;j=Dh(a,j,1)|0;c[(c[(c[g>>2]|0)+268>>2]|0)+(e<<2)>>2]=i;k=c[(c[(c[(Vf(a)|0)+16>>2]|0)+196>>2]|0)+(e<<6)+4>>2]|0;i=c[(c[i+16>>2]|0)+236>>2]|0;f=c[g>>2]|0;h=c[f+196>>2]|0;c[h+(e<<6)+4>>2]=k+(i<<2);c[h+(e<<6)>>2]=(c[(c[j+16>>2]|0)+236>>2]|0)+1-i;e=e+1|0;d=f}}while(0);return}function Ch(a){a=a|0;if(a|0){_I(c[a+8>>2]|0);_I(a)}return}function Dh(a,b,c){a=a|0;b=b|0;c=c|0;var d=0,e=0;d=b;while(1){b=Eh(b,c)|0;if(!b)break;if(Fh(a,b)|0){d=b;continue}e=(Gh(a,b)|0)==0;d=e?d:b}return d|0}function Eh(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;if(!a)ma(78703,78628,1023,78705);if((b|0)<0){a=c[a+16>>2]|0;e=c[a+236>>2]|0;if((e|0)>0){a=(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(c[a+232>>2]<<6)+4|0;d=e+-1|0;f=7}else g=0}else{a=c[a+16>>2]|0;e=c[a+236>>2]|0;a=(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(c[a+232>>2]<<6)+4|0;d=e+1|0;f=7}if((f|0)==7){a=c[(c[a>>2]|0)+(d<<2)>>2]|0;if(a)if((O((c[(c[a+16>>2]|0)+236>>2]|0)-e|0,b)|0)>0)g=a;else ma(78714,78628,1029,78705);else g=0}return g|0}function Fh(b,d){b=b|0;d=d|0;if(!(a[(c[d+16>>2]|0)+156>>0]|0))b=(Bo(b,d)|0)!=0&1;else b=0;return b|0}function Gh(b,d){b=b|0;d=d|0;var e=0,f=0;d=c[d+16>>2]|0;if(((a[d+156>>0]|0)==1?(c[d+176>>2]|0)==1:0)?(c[d+184>>2]|0)==1:0){d=c[d+180>>2]|0;while(1){d=c[d>>2]|0;e=c[d+16>>2]|0;if(!(a[e+112>>0]|0))break;else d=e+116|0}if(Bo(b,d)|0)d=1;else f=7}else f=7;if((f|0)==7)d=0;return d|0}function Hh(b){b=b|0;var d=0,e=0,f=0;f=l;l=l+16|0;e=f;d=c[42184]|0;a:do if((d|0)!=0|(c[42205]|0)!=0){d=FA(b,d,0)|0;if(d|0){switch(a[d>>0]|0){case 0:break a;case 111:{if(!(xJ(d,78916)|0)){Rh(b,1);break a}break}case 105:{if(!(xJ(d,83705)|0)){Rh(b,0);break a}break}default:{}}c[e>>2]=d;_l(1,78920,e)|0;break}d=Jp(b)|0;while(1){if(!d)break;if(!(Cj(d)|0))Hh(d);d=Kp(d)|0}if(c[42205]|0)Sh(b)}while(0);l=f;return}function Ih(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=d+16|0;e=c[k>>2]|0;j=b[e+236>>1]|0;while(1){if((j|0)>(b[e+238>>1]|0))break;else{f=0;i=0}while(1){g=c[e+196>>2]|0;h=c[g+(j<<6)>>2]|0;if((i|0)>=(h|0))break;g=c[(c[(c[g+(j<<6)+4>>2]|0)+(i<<2)>>2]|0)+16>>2]|0;a[g+158>>0]=0;a[g+157>>0]=0;c[g+284>>2]=i;if((f|0)==0&(c[g+192>>2]|0)>0){f=Ph(h,h)|0;e=c[k>>2]|0;c[(c[e+196>>2]|0)+(j<<6)+56>>2]=f;f=1}i=i+1|0}a:do if(f){i=0;f=h;while(1){if((i|0)>=(f|0))break a;h=c[(c[g+(j<<6)+4>>2]|0)+(i<<2)>>2]|0;if(!(a[(c[h+16>>2]|0)+157>>0]|0)){Qh(d,h);e=c[k>>2]|0;f=c[e+196>>2]|0;g=f;f=c[f+(j<<6)>>2]|0}i=i+1|0}}while(0);j=j+1|0}return}function Jh(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;s=d+16|0;e=c[s>>2]|0;if(a[e+240>>0]|0){h=0;r=b[e+236>>1]|0;q=0;i=0;a:while(1){if((r|0)>(b[e+238>>1]|0))break;f=c[e+196>>2]|0;g=c[f+(r<<6)>>2]|0;if(!g){g=q;f=i}else{f=c[f+(r<<6)+4>>2]|0;o=c[(c[(c[f>>2]|0)+16>>2]|0)+236>>2]|0;e=0;while(1){if((e|0)>=(g|0))break;a[(c[(c[f+(e<<2)>>2]|0)+16>>2]|0)+157>>0]=0;e=e+1|0}e=(e<<2)+4|0;if(!h)p=ww(e)|0;else p=yw(i,e)|0;m=0;n=0;while(1){e=c[s>>2]|0;f=c[e+196>>2]|0;g=c[f+(r<<6)>>2]|0;if((g|0)<=(n|0))break;j=c[(c[f+(r<<6)+4>>2]|0)+(((c[e+116>>2]&1|0)==0?g+~n|0:n)<<2)>>2]|0;l=j+16|0;e=0;k=0;while(1){i=c[l>>2]|0;if((e|0)>=(c[i+200>>2]|0)){f=0;g=0;e=i;break}i=k+((Lh(d,c[(c[i+196>>2]|0)+(e<<2)>>2]|0)|0)!=0&1)|0;e=e+1|0;k=i}while(1){if((g|0)>=(c[e+192>>2]|0))break;i=f+((Lh(d,c[(c[e+188>>2]|0)+(g<<2)>>2]|0)|0)!=0&1)|0;f=i;g=g+1|0;e=c[l>>2]|0}if(f|k)if((k|0)==0&(a[e+157>>0]|0)==0)e=(Mh(d,j,p+(m<<2)|0,r)|0)+m|0;else e=m;else{c[p+(m<<2)>>2]=j;e=m+1|0}m=e;n=n+1|0}b:do if(m){c:do if(!(c[e+116>>2]&1)){f=p;e=p+(m<<2)|0;while(1){e=e+-4|0;if(f>>>0>=e>>>0){g=0;break c}n=c[f>>2]|0;c[f>>2]=c[e>>2];c[e>>2]=n;f=f+4|0}}else g=0;while(0);while(1){e=c[s>>2]|0;i=c[e+196>>2]|0;f=c[i+(r<<6)>>2]|0;if((g|0)>=(f|0)){m=0;g=i;break}n=c[p+(g<<2)>>2]|0;c[(c[i+(r<<6)+4>>2]|0)+(g<<2)>>2]=n;c[(c[n+16>>2]|0)+236>>2]=g+o;g=g+1|0}while(1){if((m|0)>=(f|0))break b;l=(c[(c[g+(r<<6)+4>>2]|0)+(m<<2)>>2]|0)+16|0;i=c[(c[l>>2]|0)+188>>2]|0;if(i){k=0;f=i;while(1){g=c[f+(k<<2)>>2]|0;e=c[s>>2]|0;if(!g)break;j=c[g>>2]&3;i=c[(c[(c[((j|0)==2?g:g+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;j=c[(c[(c[((j|0)==3?g:g+48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;if(!(c[e+116>>2]&1))if((i|0)<(j|0))t=36;else e=k;else if((i|0)>(j|0))t=36;else e=k;if((t|0)==36){t=0;if(Lh(d,g)|0){t=37;break a}hh(g);Nh(d,g);e=k+-1|0;f=c[(c[l>>2]|0)+188>>2]|0}k=e+1|0}f=c[e+196>>2]|0;g=f;f=c[f+(r<<6)>>2]|0}m=m+1|0}}while(0);a[(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(r<<6)+49>>0]=0;h=p;g=p;f=p}r=r+1|0;q=g;i=f}if((t|0)==37)ma(78762,78628,1561,78801);if(h|0)_I(q)}return}function Kh(a){a=a|0;var d=0,e=0;e=a+16|0;a=c[e>>2]|0;a:do if(c[a+268>>2]|0){d=b[a+236>>1]|0;while(1){if((d|0)>(b[a+238>>1]|0))break a;c[(c[a+268>>2]|0)+(d<<2)>>2]=c[c[(c[a+196>>2]|0)+(d<<6)+4>>2]>>2];d=d+1|0;a=c[e>>2]|0}}while(0);return}function Lh(a,b){a=a|0;b=b|0;if((c[(c[b+16>>2]|0)+156>>2]|0)!=0?(Oh(a,c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)|0)!=0:0)a=(Oh(a,c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0)!=0&1;else a=0;return a|0}function Mh(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0;l=d+16|0;g=c[l>>2]|0;a[g+157>>0]=1;a:do if((c[g+192>>2]|0)>0){h=0;j=0;while(1){i=c[(c[g+188>>2]|0)+(j<<2)>>2]|0;if(!i)break a;if((Lh(b,i)|0)!=0?(k=c[((c[i>>2]&3|0)==2?i:i+-48|0)+40>>2]|0,(a[(c[k+16>>2]|0)+157>>0]|0)==0):0)h=(Mh(b,k,e+(h<<2)|0,f)|0)+h|0;j=j+1|0;g=c[l>>2]|0}}else h=0;while(0);if((c[g+232>>2]|0)==(f|0)){c[e+(h<<2)>>2]=d;return h+1|0}else ma(78814,78628,1490,78830);return 0}function Nh(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;i=c[d>>2]&3;j=c[((i|0)==2?d:d+-48|0)+40>>2]|0;f=c[(c[j+16>>2]|0)+188>>2]|0;a:do if(!f){e=d+48|0;m=15}else{l=d+48|0;g=((i|0)==3?d:l)+40|0;e=0;while(1){h=c[f+(e<<2)>>2]|0;if(!h){e=l;m=15;break a}if((c[((c[h>>2]&3|0)==2?h:h+-48|0)+40>>2]|0)==(c[g>>2]|0))break;else e=e+1|0}ih(d,h);e=(c[d+16>>2]|0)+172|0;if(!(c[e>>2]|0))c[e>>2]=h;e=c[h+16>>2]|0;if((a[e+112>>0]|0)==4?(k=e+116|0,(c[k>>2]|0)==0):0)c[k>>2]=d;e=c[(c[((c[d>>2]&3|0)==3?d:l)+40>>2]|0)+16>>2]|0;f=c[e+204>>2]|0;if(!f)e=ww((c[e+208>>2]<<2)+8|0)|0;else e=yw(f,(c[e+208>>2]<<2)+8|0)|0;c[(c[(c[((c[d>>2]&3|0)==3?d:l)+40>>2]|0)+16>>2]|0)+204>>2]=e;i=c[(c[((c[d>>2]&3|0)==3?d:l)+40>>2]|0)+16>>2]|0;j=c[i+204>>2]|0;i=i+208|0;k=c[i>>2]|0;c[i>>2]=k+1;c[j+(k<<2)>>2]=d;d=c[(c[((c[d>>2]&3|0)==3?d:l)+40>>2]|0)+16>>2]|0;c[(c[d+204>>2]|0)+(c[d+208>>2]<<2)>>2]=0}while(0);if((m|0)==15){m=$g(j,c[((i|0)==3?d:e)+40>>2]|0,d)|0;l=c[d+16>>2]|0;d=c[m+16>>2]|0;a[d+112>>0]=(a[l+112>>0]|0)==4?4:3;c[d+96>>2]=c[l+96>>2];gh(b,m)}return}function Oh(a,b){a=a|0;b=b|0;var c=0;c=Fh(a,b)|0;return Gh(a,b)|0|c|0}function Ph(a,b){a=a|0;b=b|0;var d=0;d=vw(12)|0;c[d>>2]=a;c[d+4>>2]=b;c[d+8>>2]=vw(O(b,a)|0)|0;return d|0}function Qh(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0;o=d+16|0;l=c[o>>2]|0;k=c[(c[(c[b+16>>2]|0)+196>>2]|0)+(c[l+232>>2]<<6)+56>>2]|0;a[l+157>>0]=1;a[l+158>>0]=1;l=(c[(c[(Vf(b)|0)+16>>2]|0)+180>>2]|0)>0;e=c[o>>2]|0;f=c[e+188>>2]|0;a:do if(f){m=k+4|0;n=k+8|0;d=0;b:while(1){j=c[f+(d<<2)>>2]|0;if(!j){p=e;break a}if(l){if((Bo(b,c[((c[j>>2]&3|0)==3?j:j+48|0)+40>>2]|0)|0)!=0?(Bo(b,c[((c[j>>2]&3|0)==2?j:j+-48|0)+40>>2]|0)|0)!=0:0)q=7}else q=7;do if((q|0)==7){q=0;h=j+16|0;if(c[(c[h>>2]|0)+156>>2]|0){e=c[j>>2]&3;g=j+-48|0;r=c[(c[((e|0)==2?j:g)+40>>2]|0)+16>>2]|0;i=c[r+284>>2]|0;f=(i|0)<(c[k>>2]|0);if((a[r+158>>0]|0)==1){if(!f){q=10;break b}e=c[(c[(c[((e|0)==3?j:j+48|0)+40>>2]|0)+16>>2]|0)+284>>2]|0;f=c[m>>2]|0;if((e|0)>=(f|0)){q=12;break b}a[(c[n>>2]|0)+((O(f,i)|0)+e)>>0]=1;hh(j);d=d+-1|0;if((a[(c[h>>2]|0)+112>>0]|0)==4)break;Nh(b,j);break}else{if(!f){q=16;break b}e=c[(c[(c[((e|0)==3?j:j+48|0)+40>>2]|0)+16>>2]|0)+284>>2]|0;f=c[m>>2]|0;if((e|0)>=(f|0)){q=18;break b}a[(c[n>>2]|0)+((O(f,e)|0)+i)>>0]=1;e=c[((c[j>>2]&3|0)==2?j:g)+40>>2]|0;if(a[(c[e+16>>2]|0)+157>>0]|0)break;Qh(b,e);break}}}while(0);f=c[o>>2]|0;d=d+1|0;e=f;f=c[f+188>>2]|0}if((q|0)==10)ma(78840,78628,1251,78872);else if((q|0)==12)ma(78884,78628,1252,78872);else if((q|0)==16)ma(78840,78628,1260,78872);else if((q|0)==18)ma(78884,78628,1261,78872)}else p=e;while(0);a[p+158>>0]=0;return}function Rh(a,b){a=a|0;b=b|0;var c=0;c=co(a)|0;while(1){if(!c)break;Th(a,c,b);c=eo(a,c)|0}return}function Sh(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;g=l;l=l+16|0;f=g;d=co(b)|0;while(1){if(!d)break;e=FA(d,c[42205]|0,0)|0;a:do if(e|0){switch(a[e>>0]|0){case 0:break a;case 111:{if(!(xJ(e,78916)|0)){Th(b,d,1);break a}break}case 105:{if(!(xJ(e,83705)|0)){Th(b,d,0);break a}break}default:{}}h=Dn(d)|0;c[f>>2]=e;c[f+4>>2]=h;_l(1,78951,f)|0}while(0);d=eo(b,d)|0}l=g;return}function Th(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;j=c[41926]|0;h=d+16|0;f=c[h>>2]|0;a:do if(!(c[f+212>>2]|0)){i=(e|0)!=0;b:do if(i){g=0;d=0;e=f;while(1){f=c[(c[e+180>>2]|0)+(g<<2)>>2]|0;if(!f)break b;if(!(Uh(f)|0)){c[j+(d<<2)>>2]=f;d=d+1|0;e=c[h>>2]|0}g=g+1|0}}else{g=0;d=0;e=f;while(1){f=c[(c[e+172>>2]|0)+(g<<2)>>2]|0;if(!f)break b;if(!(Uh(f)|0)){c[j+(d<<2)>>2]=f;d=d+1|0;e=c[h>>2]|0}g=g+1|0}}while(0);if((d|0)>=2){c[j+(d<<2)>>2]=0;rL(j,d,4,13);h=i?2:3;g=i?-1:1;f=1;while(1){d=c[j+(f<<2)>>2]|0;if(!d)break a;e=c[j+(f+-1<<2)>>2]|0;e=c[((c[e>>2]&3|0)==(h|0)?e:e+(g*48|0)|0)+40>>2]|0;d=c[((c[d>>2]&3|0)==(h|0)?d:d+(g*48|0)|0)+40>>2]|0;if(Ug(e,d)|0)break a;i=$g(e,d,0)|0;a[(c[i+16>>2]|0)+112>>0]=4;gh(b,i);f=f+1|0}}}while(0);return}function Uh(a){a=a|0;var b=0;while(1){b=c[(c[a+16>>2]|0)+116>>2]|0;if(!b)break;else a=b}b=c[a>>2]&3;return (c[(c[(c[((b|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0)!=(c[(c[(c[((b|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0)|0}function Vh(a,b){a=a|0;b=b|0;return ((c[c[a>>2]>>2]|0)>>>4)-((c[c[b>>2]>>2]|0)>>>4)|0}function Wh(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0;f=c[a+16>>2]|0;g=f+220|0;h=c[g>>2]|0;if((h|0)>=2){i=f+216|0;a=0;e=0;while(1){if((e|0)>=(h|0))break;d=c[(c[i>>2]|0)+(e<<2)>>2]|0;if(a|0)c[(c[a+16>>2]|0)+164>>2]=d;j=c[d+16>>2]|0;c[j+168>>2]=a;a=d;d=j;while(1){d=c[d+164>>2]|0;if(!d)break;a=d;d=c[d+16>>2]|0}e=e+1|0}c[g>>2]=1;c[f+192>>2]=c[c[f+216>>2]>>2];b[f+236>>1]=c[41928];b[f+238>>1]=c[41929]}return}function Xh(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0;i=c[41927]|0;j=i+16|0;f=c[j>>2]|0;g=0;h=b[f+236>>1]|0;while(1){if((h|0)>=(b[f+238>>1]|0))break;d=c[f+196>>2]|0;if(!(a[d+(h<<6)+49>>0]|0)){e=oi(i,h)|0;d=c[j>>2]|0;f=c[d+196>>2]|0;c[f+(h<<6)+52>>2]=e;a[f+(h<<6)+49>>0]=1}else{e=c[d+(h<<6)+52>>2]|0;d=f}g=e+g|0;h=h+1|0;f=d}return g|0}function Yh(a){a=a|0;var d=0,e=0,f=0,g=0,i=0,j=0;a=c[a+16>>2]|0;g=b[a+238>>1]|0;i=a+196|0;a=b[a+236>>1]|0;while(1){if((a|0)>(g|0))break;f=c[i>>2]|0;e=c[f+(a<<6)>>2]|0;f=f+(a<<6)+4|0;d=0;while(1){if((d|0)>=(e|0))break;j=c[(c[(c[f>>2]|0)+(d<<2)>>2]|0)+16>>2]|0;h[j+16>>3]=+(c[j+236>>2]|0);d=d+1|0}a=a+1|0}return}function Zh(d,e){d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0;r=l;l=l+16|0;m=r;n=d+16|0;o=zA(c[(c[n>>2]|0)+232>>2]|0)|0;j=c[n>>2]|0;f=j+192|0;g=f;while(1){g=c[g>>2]|0;if(!g)break;g=c[g+16>>2]|0;a[g+157>>0]=0;g=g+164|0}h=b[j+238>>1]|0;i=j+196|0;g=b[j+236>>1]|0;while(1){if((g|0)>(h|0))break;c[(c[i>>2]|0)+(g<<6)>>2]=0;g=g+1|0}i=(e|0)==0;while(1){g=c[f>>2]|0;if(!g)break;h=g+16|0;f=c[h>>2]|0;if((c[c[(i?f+172|0:f+180|0)>>2]>>2]|0)==0?(k=f+157|0,(a[k>>0]|0)==0):0){a[k>>0]=1;BA(o,g);while(1){f=CA(o)|0;if(!f)break;if((a[(c[f+16>>2]|0)+159>>0]|0)==7){Xk(d,f,e,o);continue}else{mi(d,f);ni(o,f,e);continue}}f=c[h>>2]|0}f=f+164|0}if(CA(o)|0)_l(1,79159,m)|0;f=c[n>>2]|0;j=b[f+236>>1]|0;while(1){if((j|0)>(b[f+238>>1]|0))break;a[(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(j<<6)+49>>0]=0;if((c[f+116>>2]&1|0)!=0?(p=c[f+196>>2]|0,q=c[p+(j<<6)>>2]|0,(q|0)>0):0){g=c[p+(j<<6)+4>>2]|0;h=q+-1|0;i=(h|0)/2|0;f=0;while(1){if((f|0)>(i|0))break;gi(c[g+(f<<2)>>2]|0,c[g+(h-f<<2)>>2]|0);f=f+1|0}f=c[n>>2]|0}j=j+1|0}if((Vf(d)|0)==(d|0)?(Xh(0)|0)>0:0)ai(d,0);AA(o);l=r;return}function _h(d){d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;n=d+16|0;d=c[n>>2]|0;f=b[d+236>>1]|0;e=b[d+238>>1]|0;l=e<<16>>16;m=d+196|0;g=f;while(1){if((g|0)>(l|0))break;k=c[m>>2]|0;j=c[k+(g<<6)>>2]|0;k=k+(g<<6)+4|0;i=0;while(1){if((i|0)>=(j|0))break;o=c[(c[(c[k>>2]|0)+(i<<2)>>2]|0)+16>>2]|0;c[o+236>>2]=~~+h[o+16>>3];i=i+1|0}g=g+1|0}while(1){if((f|0)>(e<<16>>16|0))break;a[(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(f<<6)+49>>0]=0;o=c[d+196>>2]|0;rL(c[o+(f<<6)+4>>2]|0,c[o+(f<<6)>>2]|0,4,14);o=c[n>>2]|0;f=f+1|0;e=b[o+238>>1]|0;d=o}return}function $h(a,d){a=a|0;d=d|0;var e=0,f=0,g=0;g=((d|0)%4|0|0)<2&1;e=c[a+16>>2]|0;if(!(d&1)){d=b[e+236>>1]|0;f=1;e=b[e+238>>1]|0;d=(d<<16>>16<=(b[(c[(c[41927]|0)+16>>2]|0)+236>>1]|0)&1)+(d<<16>>16)|0}else{d=b[e+238>>1]|0;f=-1;e=b[e+236>>1]|0;d=((d<<16>>16>=(b[(c[(c[41927]|0)+16>>2]|0)+238>>1]|0))<<31>>31)+(d<<16>>16)|0}e=f+e|0;while(1){if((d|0)==(e|0))break;ji(a,d,g,(ii(a,d,d-f|0)|0)&255);d=d+f|0}ai(a,g^1);return}function ai(d,e){d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;k=d+16|0;g=c[k>>2]|0;i=b[g+236>>1]|0;j=b[g+238>>1]|0;h=g+196|0;f=i<<16>>16;while(1){if((f|0)>(j|0)){h=i;break}a[(c[h>>2]|0)+(f<<6)+48>>0]=1;f=f+1|0}while(1){f=0;h=h<<16>>16;while(1){if((h|0)>(b[g+238>>1]|0))break;if(a[(c[g+196>>2]|0)+(h<<6)+48>>0]|0){f=(hi(d,h,e)|0)+f|0;g=c[k>>2]|0}h=h+1|0}if((f|0)<=0)break;h=b[g+236>>1]|0}return}function bi(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0;o=d+16|0;e=c[o>>2]|0;n=b[e+238>>1]|0;a:while(1){if((n|0)<(b[e+236>>1]|0)){e=16;break}f=c[e+196>>2]|0;a[f+(n<<6)+48>>0]=0;p=(n|0)>0;q=n+1|0;g=0;b:while(1){l=(c[f+(n<<6)>>2]|0)+-1|0;m=f+(n<<6)+4|0;k=f+(q<<6)|0;while(1){if((g|0)>=(l|0))break b;j=c[m>>2]|0;i=c[j+(g<<2)>>2]|0;g=g+1|0;j=c[j+(g<<2)>>2]|0;if((c[(c[i+16>>2]|0)+236>>2]|0)>=(c[(c[j+16>>2]|0)+236>>2]|0)){e=7;break a}if(ci(d,i,j)|0)continue;if(p){f=di(i,j)|0;h=di(j,i)|0}else{f=0;h=0}if((c[k>>2]|0)>0){f=(ei(i,j)|0)+f|0;h=(ei(j,i)|0)+h|0}if((h|0)<=(f|0))break}fi(d,n,i,j);e=c[o>>2]|0;f=c[e+196>>2]|0}n=n+-1|0}if((e|0)==7)ma(79110,78628,721,79136);else if((e|0)==16)return}function ci(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;j=c[d+16>>2]|0;i=c[j+212>>2]|0;f=c[e+16>>2]|0;g=c[f+212>>2]|0;h=(i|0)!=(g|0);do if(!(a[173893]|0))if((g|0)==0|((i|0)==0|h^1))k=9;else{if((a[j+159>>0]|0)==7?(a[j+156>>0]|0)==1:0){b=0;break}if((a[f+159>>0]|0)==7?(a[f+156>>0]|0)==1:0){b=0;break}b=1}else if(h)b=1;else k=9;while(0);if((k|0)==9){f=c[b+16>>2]|0;b=c[(c[f+196>>2]|0)+(c[j+232>>2]<<6)+56>>2]|0;if(!b)b=0;else{j=(c[f+116>>2]&1|0)==0;k=O(c[b+4>>2]|0,c[(c[(j?d:e)+16>>2]|0)+284>>2]|0)|0;b=a[(c[b+8>>2]|0)+((c[(c[(j?e:d)+16>>2]|0)+284>>2]|0)+k)>>0]|0}}return b|0}function di(a,d){a=a|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0;l=a+16|0;j=c[(c[d+16>>2]|0)+172>>2]|0;d=0;while(1){a=c[j>>2]|0;if(!a)break;i=c[a+16>>2]|0;k=b[i+154>>1]|0;g=c[(c[(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;i=i+16|0;f=c[(c[l>>2]|0)+172>>2]|0;a=d;while(1){d=c[f>>2]|0;if(!d)break;e=(c[(c[(c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)-g|0;if((e|0)<=0){if((e|0)==0?(m=c[d+16>>2]|0,+h[m+16>>3]>+h[i>>3]):0){d=m;n=9}}else{d=c[d+16>>2]|0;n=9}if((n|0)==9){n=0;a=(O(b[d+154>>1]|0,k)|0)+a|0}f=f+4|0}j=j+4|0;d=a}return d|0}function ei(a,d){a=a|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0;l=a+16|0;j=c[(c[d+16>>2]|0)+180>>2]|0;d=0;while(1){a=c[j>>2]|0;if(!a)break;i=c[a+16>>2]|0;k=b[i+154>>1]|0;g=c[(c[(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;i=i+56|0;f=c[(c[l>>2]|0)+180>>2]|0;a=d;while(1){d=c[f>>2]|0;if(!d)break;e=(c[(c[(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)-g|0;if((e|0)<=0){if((e|0)==0?(m=c[d+16>>2]|0,+h[m+56>>3]>+h[i>>3]):0){d=m;n=9}}else{d=c[d+16>>2]|0;n=9}if((n|0)==9){n=0;a=(O(b[d+154>>1]|0,k)|0)+a|0}f=f+4|0}j=j+4|0;d=a}return d|0}function fi(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;i=a[(c[e+16>>2]|0)+156>>0]|0;if(i<<24>>24!=(a[(c[f+16>>2]|0)+156>>0]|0)){j=b+16|0;l=c[(c[j>>2]|0)+196>>2]|0;k=c[l+(d<<6)>>2]|0;l=l+(d<<6)+4|0;b=0;g=0;h=0;while(1){if((b|0)>=(k|0))break;o=(a[(c[(c[(c[l>>2]|0)+(b<<2)>>2]|0)+16>>2]|0)+156>>0]|0)==0;b=b+1|0;g=g+(o&1)|0;h=h+((o^1)&1)|0}i=i<<24>>24==0;h=(g|0)<(h|0)?(i?e:f):i?f:e;i=0;b=0;while(1){if((b|0)>=(k|0))break;i=(c[(c[l>>2]|0)+(b<<2)>>2]|0)==(h|0)?b:i;b=b+1|0}o=(a[(c[h+16>>2]|0)+156>>0]|0)==0&1;n=0;g=i;while(1){b=g+-1|0;if((g|0)<=0){m=0;b=i;break}if((a[(c[(c[(c[l>>2]|0)+(b<<2)>>2]|0)+16>>2]|0)+156>>0]|0)!=(o|0)){m=0;b=i;break}n=n+1|0;g=b}while(1){b=b+1|0;if((b|0)>=(k|0))break;if((a[(c[(c[(c[l>>2]|0)+(b<<2)>>2]|0)+16>>2]|0)+156>>0]|0)!=(o|0))break;m=m+1|0}gi(e,f);j=c[(c[j>>2]|0)+196>>2]|0;k=c[j+(d<<6)>>2]|0;j=j+(d<<6)+4|0;b=0;while(1){if((b|0)>=(k|0)){h=0;g=i;break}i=(c[(c[j>>2]|0)+(b<<2)>>2]|0)==(h|0)?b:i;b=b+1|0}while(1){b=g+-1|0;if((g|0)<=0){g=0;b=i;break}if((a[(c[(c[(c[j>>2]|0)+(b<<2)>>2]|0)+16>>2]|0)+156>>0]|0)!=(o|0)){g=0;b=i;break}h=h+1|0;g=b}while(1){b=b+1|0;if((b|0)>=(k|0))break;if((a[(c[(c[(c[j>>2]|0)+(b<<2)>>2]|0)+16>>2]|0)+156>>0]|0)!=(o|0))break;g=g+1|0}d=h-g|0;o=n-m|0;if((((d|0)>-1?d:0-d|0)|0)>(((o|0)>-1?o:0-o|0)|0))gi(e,f)}return}function gi(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;f=c[a+16>>2]|0;e=c[f+232>>2]|0;f=f+236|0;d=c[f>>2]|0;g=b+16|0;h=c[(c[g>>2]|0)+236>>2]|0;c[f>>2]=h;f=(c[41927]|0)+16|0;c[(c[(c[(c[f>>2]|0)+196>>2]|0)+(e<<6)+4>>2]|0)+(h<<2)>>2]=a;c[(c[g>>2]|0)+236>>2]=d;c[(c[(c[(c[f>>2]|0)+196>>2]|0)+(e<<6)+4>>2]|0)+(d<<2)>>2]=b;return}function hi(d,e,f){d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;q=d+16|0;n=c[(c[q>>2]|0)+196>>2]|0;a[n+(e<<6)+48>>0]=0;r=(e|0)>0;s=e+1|0;o=(f|0)!=0;p=e+-1|0;g=0;i=0;f=n;a:while(1){l=(c[f+(e<<6)>>2]|0)+-1|0;m=f+(e<<6)+4|0;h=f+(s<<6)|0;n=g;while(1){if((n|0)>=(l|0)){f=17;break a}k=c[m>>2]|0;j=c[k+(n<<2)>>2]|0;n=n+1|0;k=c[k+(n<<2)>>2]|0;if((c[(c[j+16>>2]|0)+236>>2]|0)>=(c[(c[k+16>>2]|0)+236>>2]|0)){f=5;break a}if(ci(d,j,k)|0)continue;if(r){f=di(j,k)|0;g=di(k,j)|0}else{f=0;g=0}if((c[h>>2]|0)>0){f=(ei(j,k)|0)+f|0;g=(ei(k,j)|0)+g|0}if((f|0)>(g|0))break;if((f|0)==(g|0)&(o&(f|0)>0)){f=g;break}}gi(j,k);i=f-g+i|0;g=c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0;a[g+(e<<6)+49>>0]=0;h=c[q>>2]|0;f=c[h+196>>2]|0;a[f+(e<<6)+48>>0]=1;if((b[h+236>>1]|0)<(e|0)){a[g+(p<<6)+49>>0]=0;a[f+(p<<6)+48>>0]=1}if((b[h+238>>1]|0)<=(e|0)){g=n;continue}a[g+(s<<6)+49>>0]=0;a[f+(s<<6)+48>>0]=1;g=n}if((f|0)==5)ma(79110,78628,770,79144);else if((f|0)==17)return i|0;return 0}function ii(a,e,f){a=a|0;e=e|0;f=f|0;var g=0,i=0.0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0;p=c[41925]|0;q=a+16|0;a=c[(c[q>>2]|0)+196>>2]|0;r=c[a+(e<<6)+4>>2]|0;n=(f|0)>(e|0);o=p+4|0;m=0;while(1){f=c[a+(e<<6)>>2]|0;if((m|0)>=(f|0)){a=0;j=0;break}l=(c[r+(m<<2)>>2]|0)+16|0;a=c[l>>2]|0;a:do if(n){k=c[a+180>>2]|0;a=0;j=0;while(1){f=c[k+(j<<2)>>2]|0;if(!f)break a;g=c[f+16>>2]|0;if((b[g+154>>1]|0)>0){c[p+(a<<2)>>2]=c[(c[(c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]<<8|d[g+88>>0];a=a+1|0}j=j+1|0}}else{k=c[a+172>>2]|0;j=0;a=0;while(1){f=c[k+(j<<2)>>2]|0;if(!f)break a;g=c[f+16>>2]|0;if((b[g+154>>1]|0)>0){c[p+(a<<2)>>2]=c[(c[(c[((c[f>>2]&3|0)==3?f:f+48|0)+40>>2]|0)+16>>2]|0)+236>>2]<<8|d[g+48>>0];a=a+1|0}j=j+1|0}}while(0);b:do switch(a|0){case 0:{i=-1.0;break}case 1:{i=+(c[p>>2]|0);break}case 2:{i=+(((c[o>>2]|0)+(c[p>>2]|0)|0)/2|0|0);break}default:{rL(p,a,4,12);f=(a|0)/2|0;if(a&1|0){i=+(c[p+(f<<2)>>2]|0);break b}j=c[p+(f<<2)>>2]|0;g=(c[p+(a+-1<<2)>>2]|0)-j|0;a=c[p+(f+-1<<2)>>2]|0;f=a-(c[p>>2]|0)|0;if((f|0)==(g|0)){i=+((a+j|0)/2|0|0);break b}else{i=+(((O(f,j)|0)+(O(a,g)|0)|0)/(f+g|0)|0|0);break b}}}while(0);h[(c[l>>2]|0)+240>>3]=i;m=m+1|0;a=c[(c[q>>2]|0)+196>>2]|0}while(1){if((j|0)>=(f|0))break;g=c[r+(j<<2)>>2]|0;p=c[g+16>>2]|0;if((c[p+184>>2]|0)==0?(c[p+176>>2]|0)==0:0){a=(ki(g)|0|a&255)&255;f=c[(c[(c[q>>2]|0)+196>>2]|0)+(e<<6)>>2]|0}j=j+1|0}return a|0}function ji(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,l=0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0;o=c[(c[b+16>>2]|0)+196>>2]|0;s=c[o+(d<<6)+4>>2]|0;o=c[o+(d<<6)>>2]|0;q=(e|0)!=0;p=(f|e|0)==0;f=0;e=o;o=s+(o<<2)|0;while(1){n=e+-1|0;if((e|0)>0)e=s;else break;a:while(1){b:while(1){if(e>>>0>=o>>>0)break a;while(1){if(e>>>0>=o>>>0)break a;l=c[e>>2]|0;m=+h[(c[l+16>>2]|0)+240>>3];if(!(m<0.0))break;e=e+4|0}k=0;while(1){g=k<<24>>24==0;while(1){e=e+4|0;if(e>>>0>=o>>>0)break a;if(g){g=11;break}i=c[e>>2]|0;if(!(c[(c[i+16>>2]|0)+212>>2]|0)){g=13;break}}if((g|0)==11){i=c[e>>2]|0;j=i}else if((g|0)==13)j=i;if(ci(b,l,j)|0)continue b;g=c[i+16>>2]|0;if(+h[g+240>>3]>=0.0)break;k=(c[g+212>>2]|0)==0?k:1}g=~~m;k=~~+h[(c[i+16>>2]|0)+240>>3];if((g|0)>(k|0)|q&(g|0)==(k|0))break}gi(l,j);f=f+1|0}e=n;o=p?o+-4|0:o}if(f|0?(r=c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0,a[r+(d<<6)+49>>0]=0,(d|0)>0):0)a[r+(d+-1<<6)+49>>0]=0;return}function ki(a){a=a|0;var b=0.0,d=0,e=0,f=0,g=0;g=c[a+16>>2]|0;if((c[g+200>>2]|0)>0){f=c[g+196>>2]|0;a=c[f>>2]|0;a=c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0;d=1;while(1){e=c[f+(d<<2)>>2]|0;if(!e)break;e=c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0;a=(c[(c[e+16>>2]|0)+236>>2]|0)>(c[(c[a+16>>2]|0)+236>>2]|0)?e:a;d=d+1|0}b=+h[(c[a+16>>2]|0)+240>>3];if(!(b>=0.0))a=1;else{h[g+240>>3]=b+1.0;a=0}}else if((c[g+192>>2]|0)>0){e=c[g+188>>2]|0;d=c[e>>2]|0;a=1;d=c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0;while(1){f=c[e+(a<<2)>>2]|0;if(!f)break;f=c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0;a=a+1|0;d=(c[(c[f+16>>2]|0)+236>>2]|0)<(c[(c[d+16>>2]|0)+236>>2]|0)?f:d}b=+h[(c[d+16>>2]|0)+240>>3];if(b>0.0){h[g+240>>3]=b+-1.0;a=0}else a=1}else a=1;return a|0}function li(a,b){a=a|0;b=b|0;return (c[(c[(c[a>>2]|0)+16>>2]|0)+236>>2]|0)-(c[(c[(c[b>>2]|0)+16>>2]|0)+236>>2]|0)|0}function mi(a,d){a=a|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;p=l;l=l+96|0;o=p+64|0;n=p+48|0;h=p+24|0;f=p;j=d+16|0;k=c[(c[j>>2]|0)+232>>2]|0;m=a+16|0;e=c[(c[m>>2]|0)+196>>2]|0;i=c[e+(k<<6)>>2]|0;do if((c[e+(k<<6)+8>>2]|0)>=1){c[(c[e+(k<<6)+4>>2]|0)+(i<<2)>>2]=d;c[(c[j>>2]|0)+236>>2]=i;a=c[m>>2]|0;f=c[a+196>>2]|0;e=f+(k<<6)|0;g=c[e>>2]|0;c[e>>2]=g+1;if((g|0)>=(c[f+(k<<6)+8>>2]|0))ma(79224,78628,1346,79260);g=c[(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(k<<6)+8>>2]|0;if((i|0)>(g|0)){m=Dn(d)|0;n=c[(c[j>>2]|0)+236>>2]|0;o=c[(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(k<<6)+8>>2]|0;c[h>>2]=1359;c[h+4>>2]=m;c[h+8>>2]=n;c[h+12>>2]=k;c[h+16>>2]=o;_l(1,79276,h)|0;break}e=b[a+236>>1]|0;a=b[a+238>>1]|0;if((k|0)<(e|0)|(k|0)>(a<<16>>16|0)){c[n>>2]=1364;c[n+4>>2]=k;c[n+8>>2]=e;c[n+12>>2]=a<<16>>16;_l(1,79349,n)|0;break}if(((c[f+(k<<6)+4>>2]|0)+(i<<2)|0)>>>0>((c[f+(k<<6)+12>>2]|0)+(g<<2)|0)>>>0){i=Dn(d)|0;n=c[(c[m>>2]|0)+196>>2]|0;m=(c[n+(k<<6)+4>>2]|0)+(c[(c[j>>2]|0)+236>>2]<<2)|0;n=(c[n+(k<<6)+12>>2]|0)+(c[(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(k<<6)+8>>2]<<2)|0;c[o>>2]=1370;c[o+4>>2]=k;c[o+8>>2]=i;c[o+12>>2]=m;c[o+16>>2]=k;c[o+20>>2]=k;c[o+24>>2]=n;_l(1,79410,o)|0}}else{n=Dn(a)|0;o=Dn(d)|0;c[f>>2]=1339;c[f+4>>2]=n;c[f+8>>2]=o;c[f+12>>2]=k;c[f+16>>2]=i;_l(1,79169,f)|0}while(0);l=p;return}function ni(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;h=d+16|0;a:do if(!e){g=0;while(1){d=c[h>>2]|0;if((g|0)>=(c[d+184>>2]|0))break a;d=c[(c[d+180>>2]|0)+(g<<2)>>2]|0;e=d+-48|0;f=(c[(c[((c[d>>2]&3|0)==2?d:e)+40>>2]|0)+16>>2]|0)+157|0;if(!(a[f>>0]|0)){a[f>>0]=1;BA(b,c[((c[d>>2]&3|0)==2?d:e)+40>>2]|0)}g=g+1|0}}else{g=0;while(1){d=c[h>>2]|0;if((g|0)>=(c[d+176>>2]|0))break a;d=c[(c[d+172>>2]|0)+(g<<2)>>2]|0;e=d+48|0;f=(c[(c[((c[d>>2]&3|0)==3?d:e)+40>>2]|0)+16>>2]|0)+157|0;if(!(a[f>>0]|0)){a[f>>0]=1;BA(b,c[((c[d>>2]&3|0)==3?d:e)+40>>2]|0)}g=g+1|0}}while(0);return}function oi(d,e){d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0;v=l;l=l+16|0;u=v;g=d+16|0;f=c[(c[g>>2]|0)+196>>2]|0;s=c[f+(e<<6)+4>>2]|0;t=e+1|0;d=c[(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(t<<6)>>2]|0;if((c[41931]|0)>(d|0))q=c[41932]|0;else{d=d+1|0;c[41931]=d;f=c[41932]|0;if(!f)d=ww(d<<2)|0;else d=yw(f,d<<2)|0;c[41932]=d;f=c[(c[g>>2]|0)+196>>2]|0;q=d}r=f+(t<<6)|0;d=0;while(1){if((d|0)>=(c[r>>2]|0))break;c[q+(d<<2)>>2]=0;d=d+1|0}p=f+(e<<6)|0;o=0;h=0;d=0;j=q;while(1){k=c[p>>2]|0;if((o|0)>=(k|0))break;n=c[(c[(c[s+(o<<2)>>2]|0)+16>>2]|0)+180>>2]|0;a:do if((h|0)>0){m=0;while(1){g=c[n+(m<<2)>>2]|0;if(!g)break a;k=g+16|0;i=c[(c[(c[((c[g>>2]&3|0)==2?g:g+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;while(1){g=i+1|0;if((i|0)>=(h|0))break;i=g;d=(O(c[j+(g<<2)>>2]|0,b[(c[k>>2]|0)+154>>1]|0)|0)+d|0}m=m+1|0}}while(0);i=0;while(1){g=c[n+(i<<2)>>2]|0;if(!g)break;j=c[(c[(c[((c[g>>2]&3|0)==2?g:g+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;m=q+(j<<2)|0;c[m>>2]=(c[m>>2]|0)+(b[(c[g+16>>2]|0)+154>>1]|0);h=(j|0)>(h|0)?j:h;i=i+1|0;j=q}o=o+1|0}i=f+(e<<6)+4|0;h=0;while(1){if((h|0)>=(k|0))break;g=c[(c[(c[i>>2]|0)+(h<<2)>>2]|0)+16>>2]|0;if(a[g+145>>0]|0){e=g+180|0;c[u>>2]=c[e>>2];c[u+4>>2]=c[e+4>>2];d=(pi(u,1)|0)+d|0}h=h+1|0}i=c[r>>2]|0;h=f+(t<<6)+4|0;g=0;while(1){if((g|0)>=(i|0))break;f=c[(c[(c[h>>2]|0)+(g<<2)>>2]|0)+16>>2]|0;if(a[f+145>>0]|0){t=f+172|0;c[u>>2]=c[t>>2];c[u+4>>2]=c[t+4>>2];d=(pi(u,-1)|0)+d|0}g=g+1|0}l=v;return d|0}function pi(a,d){a=a|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0;n=(d|0)<1;l=c[a>>2]|0;d=0;a=0;a:while(1){m=c[l+(d<<2)>>2]|0;if(!m)break;d=d+1|0;if(n){j=m+48|0;k=m+16|0;i=d;while(1){e=c[l+(i<<2)>>2]|0;if(!e)continue a;f=c[e+16>>2]|0;g=c[k>>2]|0;if((+h[f+56>>3]-+h[g+56>>3])*+((c[(c[(c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)-(c[(c[(c[((c[m>>2]&3|0)==3?m:j)+40>>2]|0)+16>>2]|0)+236>>2]|0)|0)<0.0)a=(O(b[f+154>>1]|0,b[g+154>>1]|0)|0)+a|0;i=i+1|0}}else{j=m+-48|0;k=m+16|0;i=d;while(1){e=c[l+(i<<2)>>2]|0;if(!e)continue a;f=c[e+16>>2]|0;g=c[k>>2]|0;if((+h[f+16>>3]-+h[g+16>>3])*+((c[(c[(c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)-(c[(c[(c[((c[m>>2]&3|0)==2?m:j)+40>>2]|0)+16>>2]|0)+236>>2]|0)|0)<0.0)a=(O(b[f+154>>1]|0,b[g+154>>1]|0)|0)+a|0;i=i+1|0}}}return a|0}function qi(a){a=a|0;var b=0.0,d=0.0;c[41930]=8;c[42180]=24;h[20878]=.995;a=Im(a,79532)|0;if(a|0?(b=+sM(a),b>0.0):0){d=b*+(c[41930]|0);c[41930]=~~(d>1.0?d:1.0);b=b*+(c[42180]|0);c[42180]=~~(b>1.0?b:1.0)}return}function ri(a){a=a|0;var d=0,e=0;e=(b[(c[a+16>>2]|0)+238>>1]|0)+2|0;d=vw(e<<2)|0;ti(a,d,e,0)|0;_I(d);return}
function Uq(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;g=(b|0)==2;d=(c[42039]|0)+24|0;while(1){d=c[d>>2]|0;if(!d)break;e=d+4|0;f=c[e>>2]|0;if(!((g?(a[f>>0]|0)==(a[83089]|0):0)?!(xJ(f,83089)|0):0)){h=ym(c[c[42039]>>2]|0,b,f,0)|0;c[e>>2]=h;if(!h)c[e>>2]=ym(c[c[42039]>>2]|0,b,f,174181)|0;c[d>>2]=266;bp(c[42038]|0,f)|0}d=d+12|0}return}function Vq(a){a=a|0;Wq(c[a>>2]|0);c[a+4>>2]=0;c[a>>2]=0;return}function Wq(a){a=a|0;var b=0;while(1){if(!a)break;b=c[a+12>>2]|0;switch(c[a>>2]|0){case 265:{Wq(c[a+4>>2]|0);break}case 266:case 267:{bp(c[42038]|0,c[a+8>>2]|0)|0;break}default:{}}Zn(c[42038]|0,a);a=b}return}function Xq(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;h=l;l=l+1040|0;f=h;g=h+8|0;d=rJ(a)|0;d=d+2+(rJ(b)|0)|0;if(d>>>0<1025)e=g;else e=ZI(d)|0;c[f>>2]=a;c[f+4>>2]=b;pL(e,83126,f)|0;d=$o(c[42038]|0,e)|0;bp(c[42038]|0,a)|0;bp(c[42038]|0,b)|0;if((e|0)!=(g|0))_I(e);l=h;return d|0}function Yq(a,b){a=a|0;b=b|0;return Sq(259,a,b)|0}function Zq(a){a=a|0;return Sq(265,a,0)|0}function _q(a){a=a|0;return Sq(262,a,0)|0}function $q(a){a=a|0;var b=0,d=0;b=(c[42039]|0)+24|0;while(1){b=c[b>>2]|0;if(!b)break;if((c[b>>2]|0)==266?(d=c[b+4>>2]|0,d|0):0)Cm(a,d,c[b+8>>2]|0)|0;b=b+12|0}return}function ar(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;f=d+4|0;a:do if((c[d>>2]|0)==262){d=c[f>>2]|0;f=co(d)|0;while(1){if(!f)break a;br(a,b,io(c[c[42039]>>2]|0,f,0)|0,0,e);f=eo(d,f)|0}}else while(1){f=c[f>>2]|0;if(!f)break a;d=io(c[c[42039]>>2]|0,c[f+4>>2]|0,0)|0;br(a,b,d,c[f+8>>2]|0,e);f=f+12|0}while(0);return}function br(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0;d=an(c[c[42039]>>2]|0,a,d,f,1)|0;if(d|0){g=c[d>>2]&3;f=c[((g|0)==2?d:d+-48|0)+40>>2]|0;a=(f|0)==(a|0)?(c[((g|0)==3?d:d+48|0)+40>>2]|0)!=(f|0):0;cr(d,96242,a?e:b);cr(d,96251,a?b:e);$q(d)}return}function cr(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;if(d|0){e=ym(c[c[42039]>>2]|0,2,b,0)|0;if(!e)e=ym(c[c[42039]>>2]|0,2,b,174181)|0;Cm(a,e,d)|0}return}function dr(a,b,d){a=a|0;b=b|0;d=d|0;c[42007]=b;c[42038]=a;c[41987]=0;a=d|0?d:17656;c[42041]=a;gp(a,b);Bq()|0;a=c[41987]|0;if(!a){Fp();a=c[41987]|0}return a|0}function er(a,b){a=a|0;b=b|0;return dr(0,a,b)|0}function fr(a,b){a=a|0;b=b|0;b=Jr(a,1,b)|0;if(!b)b=999;else{b=c[b+16>>2]|0;c[a+184>>2]=c[b+4>>2];c[a+172>>2]=c[b+12>>2];c[a+176>>2]=c[b>>2];c[a+180>>2]=c[b+16>>2];b=300}return b|0}function gr(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;f=i;No(b,122277,280,1)|0;g=b+16|0;c[(c[g>>2]|0)+144>>2]=a;if((so(b)|0)!=(b|0))c[(c[(so(b)|0)+16>>2]|0)+144>>2]=a;e=Im(b,83342)|0;d=a+172|0;if((e|0)!=0?(c[d>>2]=0,(fr(a,e)|0)==999):0){d=Kr(a,1,e)|0;c[f>>2]=e;c[f+4>>2]=d;_l(1,83869,f)|0;d=-1}else{e=c[d>>2]|0;if(!e)d=-1;else{Fv(1);dw(b,c[c[a+180>>2]>>2]&1);d=c[(c[g>>2]|0)+8>>2]|0;c[(c[(so(b)|0)+16>>2]|0)+8>>2]=d;Ez();d=c[e>>2]|0;if(d|0?(gb[d&127](b),h=c[e+4>>2]|0,h|0):0)c[(c[g>>2]|0)+148>>2]=h;Fv(0);d=0}}l=i;return d|0}function hr(a,b){a=a|0;b=b|0;var d=0,e=0;if(No(b,122277,0,1)|0){d=b+16|0;a=c[d>>2]|0;e=c[a+148>>2]|0;if(e){gb[e&127](b);a=c[d>>2]|0;c[a+148>>2]=0}if(c[a+8>>2]|0)iw(b)}return 0}function ir(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+16|0;j=k+8|0;i=k;d=c[b+76>>2]|0;f=c[b>>2]|0;if((d|0)!=0?(e=c[d>>2]|0,(e|0)!=0):0){gb[e&127](b);g=12}else g=4;do if((g|0)==4)if((c[b+40>>2]|0)==0?(h=b+36|0,(c[h>>2]|0)==0):0){if(a[f+13>>0]|0)jr(b);d=b+32|0;e=c[d>>2]|0;if(!e){c[h>>2]=c[13885];g=12;break}f=aM(e,91556)|0;c[h>>2]=f;if(!f){j=c[(c[b+12>>2]|0)+16>>2]|0;h=c[d>>2]|0;d=yJ(c[(jJ()|0)>>2]|0)|0;c[i>>2]=h;c[i+4>>2]=d;hb[j&31](83132,i);d=1}else g=12}else g=12;while(0);if((g|0)==12)if(!(c[b+152>>2]&1024))d=0;else{hb[c[(c[b+12>>2]|0)+16>>2]&31](83170,j);d=1}l=k;return d|0}function jr(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;h=l;l=l+112|0;e=h;g=h+4|0;d=c[b+24>>2]|0;if(!d)a[g>>0]=0;else{c[e>>2]=d+1;pL(g,83188,e)|0}e=c[b+20>>2]|0;e=e|0?e:83192;d=rJ(e)|0;i=rJ(g)|0;f=b+52|0;i=d+1+i+(rJ(c[f>>2]|0)|0)|0;d=i+11|0;if((c[42042]|0)>>>0<(i+1|0)>>>0){c[42042]=d;d=aJ(c[42043]|0,d)|0;c[42043]=d}else d=c[42043]|0;xK(d,e)|0;IL(c[42043]|0,g)|0;d=c[42043]|0;d=d+(rJ(d)|0)|0;a[d>>0]=46;a[d+1>>0]=0;d=GL(c[f>>2]|0)|0;f=c[42043]|0;while(1){e=HL(d,58)|0;if(!e)break;IL(f,e+1|0)|0;i=c[42043]|0;g=i+(rJ(i)|0)|0;a[g>>0]=46;a[g+1>>0]=0;a[e>>0]=0;f=i}IL(f,d)|0;_I(d);c[b+32>>2]=c[42043];l=h;return}function kr(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;h=l;l=l+16|0;g=h+8|0;f=h;if((b|0)!=0&(d|0)!=0){if(c[a+152>>2]&1024|0){hb[c[(c[a+12>>2]|0)+16>>2]&31](83170,f);Ma(1)}if((lr(a,b,d)|0)==(d|0))e=d;else{f=c[(c[a+12>>2]|0)+16>>2]|0;c[g>>2]=d;hb[f&31](83202,g);Ma(1)}}else e=0;l=h;return e|0}function lr(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;n=o;f=c[(c[b>>2]|0)+104>>2]|0;do if(!f){j=b+40|0;h=c[j>>2]|0;if(!h){e=XL(d,1,e,c[b+36>>2]|0)|0;break}f=b+44|0;i=b+48|0;g=c[i>>2]|0;do if(((c[f>>2]|0)+-1-g|0)>>>0<e>>>0){g=e+4096+g&-4096;c[f>>2]=g;f=aJ(h,g)|0;c[j>>2]=f;if(!f){hb[c[(c[b+12>>2]|0)+16>>2]&31](83227,n);Ma(1)}else{k=f;m=c[i>>2]|0;break}}else{k=h;m=g}while(0);TN(k+m|0,d|0,e|0)|0;n=(c[i>>2]|0)+e|0;c[i>>2]=n;a[(c[j>>2]|0)+n>>0]=0}else e=bb[f&31](b,d,e)|0;while(0);l=o;return e|0}function mr(a,b){a=a|0;b=b|0;var c=0;c=rJ(b)|0;b=(kr(a,b,c)|0)==(c|0);return (b?1:-1)|0}function nr(b,c){b=b|0;c=c|0;var d=0,e=0;d=l;l=l+16|0;e=d;a[e>>0]=c;b=(kr(b,e,1)|0)==1;l=d;return (b?c:-1)|0}function or(b){b=b|0;var d=0;d=c[b+36>>2]|0;if(((d|0)!=0?(a[b+144>>0]|0)==0:0)?(c[(c[b>>2]|0)+104>>2]|0)==0:0)b=PL(d)|0;else b=0;return b|0}function pr(a){a=a|0;var b=0,d=0;b=c[a+76>>2]|0;if(b|0?(d=c[b+4>>2]|0,d|0):0)gb[d&127](a);or(a)|0;return}function qr(a){a=a|0;var b=0,d=0,e=0;e=l;l=l+16|0;d=c[a+76>>2]|0;if(c[a+152>>2]&1024|0){hb[c[(c[a+12>>2]|0)+16>>2]&31](83254,e);Ma(1)}if((d|0)!=0?(b=c[d+8>>2]|0,(b|0)!=0):0)gb[b&127](a);else{or(a)|0;rr(a)}l=e;return}function rr(b){b=b|0;var d=0,e=0,f=0;d=b+32|0;if((c[d>>2]|0?(e=b+36|0,f=c[e>>2]|0,(f|0)!=(c[13885]|0)):0)?(a[b+144>>0]|0)==0:0){if(f|0){LL(f)|0;c[e>>2]=0}c[d>>2]=0}return}function sr(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;i=l;l=l+1056|0;f=i;h=i+24|0;g=i+8|0;c[g>>2]=d;e=LK(h,1024,b,g)|0;if((e|0)>=0){if((e|0)>1023){e=ww(e+1|0)|0;c[g>>2]=d;f=e;e=qL(e,b,g)|0}else f=h;kr(a,f,e)|0;if((f|0)!=(h|0))_I(f)}else{c[f>>2]=yJ(c[(jJ()|0)>>2]|0)|0;_l(1,83271,f)|0}l=i;return}function tr(a,b){a=a|0;b=+b;var d=0,e=0,f=0;d=l;l=l+16|0;e=d;f=ur(e,b)|0;kr(a,f,c[e>>2]|0)|0;l=d;return}function ur(b,d){b=b|0;d=+d;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0;if(!(d<-1.0e15))if(!(d>1.0e15)){d=d*1.0e4;f=~~((d<0.0?-.5:.5)+d);if(!f){f=123205;e=1}else{l=(f|0)<0;k=4;i=0;e=173948;f=l?0-f|0:f;while(1){if(!((f|0)!=0|(k|0)>0))break;g=(f|0)%10|0;j=(f|0)/10|0;h=e+-1|0;if((g|0)==0&i<<24>>24==0)f=0;else{a[h>>0]=g|48;f=1;e=h}if((k|0)==1)if(!(f<<24>>24))f=1;else{e=e+-1|0;a[e>>0]=46;f=1}k=k+-1|0;i=f;f=j}if(l){e=e+-1|0;a[e>>0]=45}f=e;e=173948-e|0}}else{f=83286;e=18}else{f=83285;e=19}c[b>>2]=e;return f|0}function vr(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=l;l=l+16|0;e=d;f=ur(e,+h[b>>3])|0;kr(a,f,c[e>>2]|0)|0;kr(a,87638,1)|0;b=ur(e,+h[b+8>>3])|0;kr(a,b,c[e>>2]|0)|0;l=d;return}function wr(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;g=l;l=l+16|0;f=g;e=0;while(1){h=b+(e<<4)|0;c[f>>2]=c[h>>2];c[f+4>>2]=c[h+4>>2];c[f+8>>2]=c[h+8>>2];c[f+12>>2]=c[h+12>>2];vr(a,f);e=e+1|0;if((e|0)>=(d|0))break;kr(a,87638,1)|0}l=g;return}function xr(a,b){a=a|0;b=b|0;var d=0;d=vw(392)|0;if(d|0){c[d>>2]=19212;c[d+16>>2]=22;c[d+32>>2]=a;c[d+36>>2]=b}return d|0}function yr(a){a=a|0;var b=0,d=0,e=0,f=0;b=vw(392)|0;d=b;e=a;f=d+40|0;do{c[d>>2]=c[e>>2];d=d+4|0;e=e+4|0}while((d|0)<(f|0));f=b+60|0;e=a+60|0;c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];c[f+8>>2]=c[e+8>>2];c[f+12>>2]=c[e+12>>2];c[f+16>>2]=c[e+16>>2];f=b+80|0;e=a+80|0;c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];c[f+8>>2]=c[e+8>>2];c[f+12>>2]=c[e+12>>2];c[f+16>>2]=c[e+16>>2];return b|0}function zr(a){a=a|0;Gr(a);_I(a);return}function Ar(a,b){a=a|0;b=b|0;var d=0,e=0;e=a+160|0;d=c[e>>2]|0;if(d){e=c[42044]|0;if(e){d=c[e+4>>2]|0;if(!d){d=vw(632)|0;c[(c[42044]|0)+4>>2]=d}}}else{d=vw(632)|0;c[e>>2]=d;c[a+164>>2]=d}c[42044]=d;c[d+32>>2]=b;c[d>>2]=a;return}function Br(a,b){a=a|0;b=b|0;var d=0,e=0;e=a+160|0;d=c[e>>2]|0;if(d){e=c[42045]|0;if(e){d=c[e+4>>2]|0;if(!d){d=vw(632)|0;c[(c[42045]|0)+4>>2]=d}}}else{d=vw(632)|0;c[e>>2]=d;c[a+164>>2]=d}c[42045]=d;c[d+52>>2]=b;c[d>>2]=a;return (Jr(a,3,b)|0)!=0|0}function Cr(a){a=a|0;var b=0;b=c[a+160>>2]|0;c[a+164>>2]=b;return b|0}function Dr(a){a=a|0;var b=0,d=0,e=0;a=a+164|0;b=c[a>>2]|0;d=c[b+4>>2]|0;if(d|0?(e=d+52|0,(c[e>>2]|0)==0):0)c[e>>2]=c[b+52>>2];c[a>>2]=d;return d|0}function Er(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=a+8|0;f=b+10|0;if((c[e>>2]|0)>(b|0))a=c[a>>2]|0;else{c[e>>2]=f;f=yw(c[a>>2]|0,f<<2)|0;c[a>>2]=f;a=f}c[a+(b<<2)>>2]=d;return}function Fr(a){a=a|0;var b=0;b=c[a>>2]|0;if(b|0)_I(b);c[a>>2]=0;c[a+8>>2]=0;c[a+4>>2]=0;return}function Gr(a){a=a|0;var b=0,d=0,e=0;d=a+160|0;b=c[d>>2]|0;while(1){if(!b)break;e=c[b+4>>2]|0;Fr(b+604|0);Fr(b+592|0);_I(c[b+584>>2]|0);_I(c[b+588>>2]|0);_I(b);b=e}c[42045]=0;c[42044]=0;c[a+192>>2]=0;c[a+164>>2]=0;c[d>>2]=0;c[a+28>>2]=0;return}function Hr(b,d,e,f,g,h){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;var i=0,j=0,k=0,m=0,n=0;n=l;l=l+128|0;k=n+64|0;m=n;mL(k,e,63)|0;i=WJ(k,58)|0;if(i|0)a[i>>0]=0;b=b+60+(d<<2)|0;while(1){d=c[b>>2]|0;if(!d){d=b;b=0;break}mL(m,c[d+4>>2]|0,63)|0;d=WJ(m,58)|0;if(d|0)a[d>>0]=0;if((xJ(k,m)|0)<1){j=9;break}b=c[b>>2]|0}while(1){if((j|0)==9){d=b;b=c[b>>2]|0}if(!b)break;mL(m,c[b+4>>2]|0,63)|0;b=WJ(m,58)|0;if(b|0)a[b>>0]=0;if(xJ(k,m)|0)break;b=c[d>>2]|0;if((c[b+8>>2]|0)<=(f|0))break;j=9}m=ww(20)|0;c[m>>2]=c[d>>2];c[d>>2]=m;c[m+4>>2]=e;c[m+8>>2]=f;c[m+12>>2]=g;c[m+16>>2]=h;l=n;return 1}function Ir(a,b){a=a|0;b=b|0;b=l;l=l+16|0;_l(1,83366,b)|0;l=b;return 0}function Jr(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;s=l;l=l+144|0;r=s;o=s+80|0;p=s+16|0;n=(d+-3|0)>>>0<2?0:d;mL(o,e,63)|0;e=WJ(o,58)|0;if(e){f=e+1|0;a[e>>0]=0;e=WJ(f,58)|0;if(!e)m=0;else{a[e>>0]=0;m=e+1|0}}else{m=0;f=0}i=(f|0)!=0;j=(m|0)==0;k=(n|0)==(d|0);h=b+60+(d<<2)|0;a:while(1){e=c[h>>2]|0;if(!e){e=0;break}mL(p,c[e+4>>2]|0,63)|0;e=WJ(p,58)|0;if(!e)e=0;else{a[e>>0]=0;e=e+1|0}do if(!(xJ(p,o)|0)){g=(e|0)!=0;if(i&g?xJ(e,f)|0:0)break;if(!j?xJ(m,c[(c[(c[h>>2]|0)+12>>2]|0)+8>>2]|0)|0:0)break;if(k|g^1){q=16;break a}if(Jr(b,n,e)|0){q=16;break a}}while(0);h=c[h>>2]|0}do if((q|0)==16){e=c[h>>2]|0;if(e){f=e+16|0;if((c[f>>2]|0)==0?(Ir(0,0)|0,(c[f>>2]|0)==0):0){e=0;break}if((c[b+8>>2]|0)>0){q=c[13918]|0;o=c[e+4>>2]|0;p=c[(c[e+12>>2]|0)+8>>2]|0;c[r>>2]=c[19224+(d<<2)>>2];c[r+4>>2]=o;c[r+8>>2]=p;zL(q,83397,r)|0}}else e=0}while(0);c[b+80+(d<<2)>>2]=e;l=s;return e|0}function Kr(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;do if(!e)e=0;else{if(c[4811]|0){cm(168184,0,0);c[4811]=0}h=GL(e)|0;e=WJ(h,58)|0;if(e){a[e>>0]=0;f=b+60+(d<<2)|0;e=1;g=f;while(1){b=c[g>>2]|0;if(!b)break;d=GL(c[b+4>>2]|0)|0;b=WJ(d,58)|0;if(b|0)a[b>>0]=0;if(!((a[h>>0]|0)!=0?(iK(h,d)|0)!=0:0)){e=c[42047]|0;if(e>>>0>=(c[42048]|0)>>>0){dm(168184,1)|0;e=c[42047]|0}c[42047]=e+1;a[e>>0]=32;fm(168184,c[(c[g>>2]|0)+4>>2]|0)|0;e=c[42047]|0;if(e>>>0>=(c[42048]|0)>>>0){dm(168184,1)|0;e=c[42047]|0}c[42047]=e+1;a[e>>0]=58;fm(168184,c[(c[(c[g>>2]|0)+12>>2]|0)+8>>2]|0)|0;e=0}_I(d);g=c[g>>2]|0}_I(h);if(e<<24>>24){g=0;i=19}}else{_I(h);g=0;f=b+60+(d<<2)|0;e=1;i=19}if((i|0)==19){while(1){b=c[f>>2]|0;if(!b)break;d=GL(c[b+4>>2]|0)|0;b=WJ(d,58)|0;if(b|0)a[b>>0]=0;if(!((g|0)!=0?(iK(g,d)|0)==0:0)){e=c[42047]|0;if(e>>>0>=(c[42048]|0)>>>0){dm(168184,1)|0;e=c[42047]|0}c[42047]=e+1;a[e>>0]=32;fm(168184,d)|0;e=0}g=d;f=c[f>>2]|0;i=19}if(e<<24>>24){e=174181;break}}e=c[42047]|0;if(e>>>0>=(c[42048]|0)>>>0){dm(168184,1)|0;e=c[42047]|0}a[e>>0]=0;e=c[42046]|0;c[42047]=e}while(0);return e|0}function Lr(b){b=b|0;var d=0;if(!b)ma(96030,83414,573,83428);if(!(a[b>>0]|0))ma(96035,83414,574,83428);d=c[42050]|0;if(!d)b=0;else b=bb[c[d>>2]&31](d,b,512)|0;return b|0}function Mr(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+16|0;j=k+8|0;i=k;if(!b)ma(96091,83414,589,83445);g=b+8|0;e=c[g>>2]|0;if(!e)ma(96094,83414,590,83445);if(!(a[e>>0]|0))ma(96103,83414,591,83445);h=b+20|0;f=c[h>>2]|0;do if(!f){d=RA(e)|0;if(!d){c[i>>2]=c[g>>2];_l(0,83469,i)|0;d=0;break}i=aM(d,123632)|0;c[h>>2]=i;if(!i){c[j>>2]=yJ(c[(jJ()|0)>>2]|0)|0;c[j+4>>2]=d;_l(0,83494,j)|0;d=0;break}d=c[42051]|0;if((d|0)>49){a[b+17>>0]=1;d=1;break}else{c[42051]=d+1;d=1;break}}else{oM(f,0,0)|0;if(!(c[h>>2]|0))ma(83515,83414,614,83445);else d=1}while(0);l=k;return d|0}function Nr(b){b=b|0;var d=0,e=0;if(a[b+17>>0]|0?(d=b+20|0,e=c[d>>2]|0,e|0):0){LL(e)|0;c[d>>2]=0}return}function Or(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0.0,g=0.0;if(!b){e=-1;d=-1}else{e=c[b+48>>2]|0;f=+(e|0);if(!e){g=+h[d>>3];f=+h[d+8>>3]}else{h[d+8>>3]=f;h[d>>3]=f;g=f}e=~~(+((c[b+40>>2]|0)*72|0)/g);d=~~(+((c[b+44>>2]|0)*72|0)/f)}c[a>>2]=e;c[a+4>>2]=d;return}function Pr(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0.0;m=l;l=l+48|0;f=m+16|0;j=m;k=m+32|0;if((e|0)!=0?(a[e>>0]|0)!=0:0){if((0==0?(g=c[42178]|0,(c[42052]|0)!=(g|0)):0)?(c[42052]=g,i=c[42050]|0,i|0):0){Kl(i)|0;c[42050]=0}n=+h[(c[(c[d+16>>2]|0)+8>>2]|0)+24>>3];n=!(n>=1.0)?96.0:n;h[j+8>>3]=n;h[j>>3]=n;d=Qr(e)|0;c[f>>2]=c[j>>2];c[f+4>>2]=c[j+4>>2];c[f+8>>2]=c[j+8>>2];c[f+12>>2]=c[j+12>>2];Or(k,d,f);d=c[k>>2]|0;f=c[k+4>>2]|0}else{d=-1;f=-1}c[b>>2]=d;c[b+4>>2]=f;l=m;return}function Qr(a){a=a|0;var b=0,d=0,e=0,f=0;f=l;l=l+16|0;e=f;if(!a)ma(96030,83414,638,83521);if(!(c[42050]|0))c[42050]=Ql(19248,c[4353]|0)|0;b=Lr(a)|0;a:do if(!b){b=vw(64)|0;if(!b)b=0;else{d=b+8|0;c[d>>2]=$o(0,a)|0;if(!((Mr(b)|0)<<24>>24)){Rr(b);b=0;break}if(!(c[b+20>>2]|0))ma(83515,83414,653,83521);do switch(Sr(b)|0){case 0:{a=Py(c[d>>2]|0)|0;c[b+52>>2]=a;if(!a){c[e>>2]=c[d>>2];_l(0,83538,e)|0;Rr(b);b=0;break a}break}case 2:{Tr(b);break}case 3:{Ur(b);break}case 1:{Vr(b);break}case 4:{Wr(b);break}case 6:{Xr(b);break}case 11:{Yr(b);break}case 8:{Zr(b);break}case 5:{_r(b);break}case 12:{$r(b);break}default:{}}while(0);Nr(b);e=c[42050]|0;bb[c[e>>2]&31](e,b,1)|0}}else Nr(b);while(0);l=f;return b|0}function Rr(a){a=a|0;var b=0;b=c[a+8>>2]|0;if(b|0)bp(0,b)|0;_I(a);return}function Sr(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0;j=l;l=l+224|0;f=j+200|0;g=j;h=a+20|0;b=c[h>>2]|0;a:do if((b|0)!=0?(wN(f,1,20,b)|0)==20:0){d=0;while(1){if(d>>>0>=10){i=13;break a}if(!(dL(f,c[19284+(d<<4)>>2]|0,c[19284+(d<<4)+4>>2]|0)|0))break;d=d+1|0}e=a+28|0;c[e>>2]=c[19284+(d<<4)+12>>2];b=c[19284+(d<<4)+8>>2]|0;a=a+24|0;c[a>>2]=b;switch(d|0){case 7:break;case 8:{if(dL(f+8|0,83754,4)|0)break a;c[e>>2]=83759;c[a>>2]=11;b=11;break a}default:break a}while(1){if(!(gL(g,200,c[h>>2]|0)|0)){i=11;break}if(!(dL(g,83749,4)|0)){i=8;break}}if((i|0)==8){c[e>>2]=86879;c[a>>2]=8;b=8;break}else if((i|0)==11){b=c[a>>2]|0;break}}else i=13;while(0);if((i|0)==13){c[a+28>>2]=83764;c[a+24>>2]=0;b=0}l=j;return b|0}function Tr(a){a=a|0;var b=0,d=0,e=0,f=0;f=l;l=l+16|0;b=f+4|0;d=f;c[a+48>>2]=0;e=a+20|0;oM(c[e>>2]|0,6,0)|0;if((is(c[e>>2]|0,2,b)|0)<<24>>24?(is(c[e>>2]|0,2,d)|0)<<24>>24:0){c[a+40>>2]=c[b>>2];c[a+44>>2]=c[d>>2]}l=f;return}function Ur(a){a=a|0;var b=0,d=0,e=0,f=0;f=l;l=l+16|0;b=f+4|0;d=f;c[a+48>>2]=0;e=a+20|0;oM(c[e>>2]|0,16,0)|0;if((as(c[e>>2]|0,4,b)|0)<<24>>24?(as(c[e>>2]|0,4,d)|0)<<24>>24:0){c[a+40>>2]=c[b>>2];c[a+44>>2]=c[d>>2]}l=f;return}function Vr(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;h=l;l=l+16|0;b=h+12|0;d=h+8|0;e=h+4|0;f=h;c[a+48>>2]=0;g=a+20|0;oM(c[g>>2]|0,16,0)|0;if((((is(c[g>>2]|0,2,b)|0)<<24>>24?(is(c[g>>2]|0,2,d)|0)<<24>>24:0)?(is(c[g>>2]|0,2,e)|0)<<24>>24:0)?(is(c[g>>2]|0,2,f)|0)<<24>>24:0){c[a+40>>2]=c[b>>2]<<16|c[d>>2];c[a+44>>2]=c[e>>2]<<16|c[f>>2]}l=h;return}function Wr(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+32|0;b=m+16|0;e=m+12|0;f=m+8|0;h=m+4|0;i=m;c[a+48>>2]=0;j=a+20|0;while(1){if(!((as(c[j>>2]|0,1,b)|0)<<24>>24))break;d=c[b>>2]|0;if((d|0)==255)continue;if(WJ(83737,d)|0)continue;if((d|0)==192){k=6;break}g=c[j>>2]|0;if((d|0)==194){k=11;break}if(!((as(g,2,e)|0)<<24>>24))break;oM(c[j>>2]|0,(c[e>>2]|0)+-2|0,1)|0}if((k|0)==6){if(((as(c[j>>2]|0,3,i)|0)<<24>>24?(as(c[j>>2]|0,2,f)|0)<<24>>24:0)?(as(c[j>>2]|0,2,h)|0)<<24>>24:0){c[a+44>>2]=c[f>>2];c[a+40>>2]=c[h>>2]}}else if((((k|0)==11?(as(g,3,i)|0)<<24>>24:0)?(as(c[j>>2]|0,2,f)|0)<<24>>24:0)?(as(c[j>>2]|0,2,h)|0)<<24>>24:0){c[a+44>>2]=c[f>>2];c[a+40>>2]=c[h>>2]}l=m;return}function Xr(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+1056|0;j=m;b=m+32|0;e=m+28|0;f=m+24|0;g=m+20|0;h=m+16|0;c[a+48>>2]=72;i=a+20|0;oM(c[i>>2]|0,0,0)|0;while(1){if(!(gL(b,1024,c[i>>2]|0)|0))break;d=hL(b,83722)|0;if(!d)continue;c[j>>2]=e;c[j+4>>2]=f;c[j+8>>2]=g;c[j+12>>2]=h;if((cM(d,89345,j)|0)==4){k=5;break}}if((k|0)==5){j=c[e>>2]|0;c[a+32>>2]=j;k=c[f>>2]|0;c[a+36>>2]=k;c[a+40>>2]=(c[g>>2]|0)-j;c[a+44>>2]=(c[h>>2]|0)-k}l=m;return}function Yr(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;g=l;l=l+16|0;b=g+4|0;d=g;c[a+48>>2]=0;e=a+20|0;oM(c[e>>2]|0,15,0)|0;h=(BN(c[e>>2]|0)|0)==88;f=c[e>>2]|0;if(h){oM(f,24,0)|0;if((is(c[e>>2]|0,4,b)|0)<<24>>24?(is(c[e>>2]|0,4,d)|0)<<24>>24:0){c[a+40>>2]=c[b>>2];c[a+44>>2]=c[d>>2]}}else{oM(f,26,0)|0;if((is(c[e>>2]|0,2,b)|0)<<24>>24?(is(c[e>>2]|0,2,d)|0)<<24>>24:0){c[a+40>>2]=c[b>>2];c[a+44>>2]=c[d>>2]}}l=g;return}function Zr(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0;F=l;l=l+352|0;C=F+80|0;B=F+72|0;E=F+64|0;D=F+56|0;A=F+48|0;d=F+40|0;s=F+32|0;t=F+24|0;u=F+16|0;v=F+8|0;w=F;x=F+328|0;y=F+128|0;z=F+96|0;if(!(c[42053]|0)){if(EM(168216,83607,1)|0){c[d>>2]=83607;_l(1,83634,d)|0}c[42053]=168216}m=b+20|0;oM(c[m>>2]|0,0,0)|0;n=z+12|0;o=z+20|0;p=z+8|0;q=z+16|0;r=z+4|0;d=0;g=0;f=0;e=0;a:while(1){if(!(gL(y,200,c[m>>2]|0)|0))break;if(g<<24>>24==0|d<<24>>24==0){i=y;k=e}else break;b:while(1){j=f;c:while(1){while(1){if(qN(168216,i,4,z,0)|0){f=j;e=k;continue a}a[i+(c[n>>2]|0)>>0]=0;a[i+(c[o>>2]|0)>>0]=0;e=i+(c[p>>2]|0)|0;f=i+(c[q>>2]|0)|0;i=i+((c[r>>2]|0)+1)|0;if(!(xJ(e,96043)|0))break;if(!(xJ(e,96049)|0))break c;if(xJ(e,83681)|0)continue;c[C>>2]=t;c[C+4>>2]=u;c[C+8>>2]=v;c[C+12>>2]=w;if((cM(f,83689,C)|0)==4)break b}c[A>>2]=s;c[A+4>>2]=x;if((cM(f,83671,A)|0)!=2){c[D>>2]=s;if((cM(f,86246,D)|0)==1){e=1;f=hs(+h[s>>3],83678)|0}else{e=g;f=j}}else{e=1;f=hs(+h[s>>3],x)|0}if(!(d<<24>>24)){d=0;g=e;j=f}else{g=e;e=k;continue a}}c[E>>2]=s;c[E+4>>2]=x;if((cM(f,83671,E)|0)!=2){c[B>>2]=s;if((cM(f,86246,B)|0)==1){d=1;e=hs(+h[s>>3],83678)|0}else e=k}else{d=1;e=hs(+h[s>>3],x)|0}if(!(g<<24>>24)){g=0;f=j;k=e}else{f=j;continue a}}d=1;g=1;f=~~(+h[v>>3]+1.0-+h[t>>3])>>>0;e=~~(+h[w>>3]+1.0-+h[u>>3])>>>0}c[b+48>>2]=0;c[b+40>>2]=f;c[b+44>>2]=e;l=F;return}function _r(a){a=a|0;var b=0,d=0,e=0,f=0.0,g=0.0;d=l;l=l+32|0;b=d;c[a+48>>2]=0;e=a+20|0;oM(c[e>>2]|0,0,0)|0;if(!(bs(c[e>>2]|0,b)|0)){g=+h[b>>3];c[a+32>>2]=~~g;f=+h[b+8>>3];c[a+36>>2]=~~f;c[a+40>>2]=~~(+h[b+16>>3]-g);c[a+44>>2]=~~(+h[b+24>>3]-f)}l=d;return}function $r(a){a=a|0;var b=0,d=0,e=0,f=0;f=l;l=l+16|0;b=f+4|0;d=f;c[a+48>>2]=0;e=a+20|0;oM(c[e>>2]|0,6,0)|0;if((as(c[e>>2]|0,1,b)|0)<<24>>24?(as(c[e>>2]|0,1,d)|0)<<24>>24:0){c[a+40>>2]=c[b>>2];c[a+44>>2]=c[d>>2]}l=f;return}function as(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;c[d>>2]=0;e=0;while(1){if(e>>>0>=b>>>0){e=1;break}f=BN(a)|0;if(KL(a)|0){e=0;break}c[d>>2]=c[d>>2]<<8|f;e=e+1|0}return e|0}function bs(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;h=l;l=l+1040|0;d=h;e=h+16|0;while(1){if(!(gL(e,1024,a)|0)){a=1;break}f=hL(e,83597)|0;if(f|0){g=4;break}}if((g|0)==4){c[d+4>>2]=e;c[d>>2]=f+9;c[d+8>>2]=a;a=cs(d,b)|0}l=h;return a|0}function cs(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;g=l;l=l+1024|0;f=g;ds(b);e=a[c[b>>2]>>0]|0;if(!(e<<24>>24))e=(es(b)|0)&255;else e=e<<24>>24;if((((e|0)==91?(c[b>>2]=(c[b>>2]|0)+1,fs(b,f),(gs(f,d)|0)==0):0)?(fs(b,f),(gs(f,d+8|0)|0)==0):0)?(fs(b,f),(gs(f,d+16|0)|0)==0):0){fs(b,f);e=(gs(f,d+24|0)|0)!=0&1}else e=1;l=g;return e|0}function ds(b){b=b|0;var d=0;d=c[b>>2]|0;while(1){d=a[d>>0]|0;if(!(d<<24>>24))d=(es(b)|0)&255;else d=d<<24>>24;if(!((d&255)<<24>>24))break;if(!(XJ(d&255)|0))break;d=(c[b>>2]|0)+1|0;c[b>>2]=d}return}function es(b){b=b|0;var d=0;d=b+4|0;if(!(gL(c[d>>2]|0,1024,c[b+8>>2]|0)|0))b=0;else{d=c[d>>2]|0;c[b>>2]=d;b=a[d>>0]|0}return b|0}function fs(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;ds(b);e=0;f=c[b>>2]|0;while(1){f=a[f>>0]|0;if(!(f<<24>>24))g=(es(b)|0)&255;else g=f<<24>>24;f=g<<24>>24;if(!f)break;if(!((f|0)==46|(f+-48|0)>>>0<10))break;a[d+e>>0]=g;e=e+1|0;f=(c[b>>2]|0)+1|0;c[b>>2]=f;if((e|0)==1023){e=1023;break}}a[d+e>>0]=0;return}function gs(a,b){a=a|0;b=b|0;var d=0.0,e=0,f=0;e=l;l=l+16|0;f=e;d=+tM(a,f);if((c[f>>2]|0)==(a|0))a=1;else{h[b>>3]=d;a=0}l=e;return a|0}function hs(a,b){a=+a;b=b|0;var c=0.0;do if(!(xJ(b,83705)|0)){a=a*72.0;c=a;a=a>=0.0?.5:-.5}else{if(!(xJ(b,83708)|0)){a=a*.75;c=a;a=a>=0.0?.5:-.5;break}if(!(xJ(b,83711)|0)){a=a*12.0;c=a;a=a>=0.0?.5:-.5;break}if(xJ(b,83678)|0?xJ(b,83714)|0:0)if(!(xJ(b,83716)|0)){a=a*28.346456664;c=a;a=a>=0.0?.5:-.5;break}else{b=(xJ(b,83719)|0)==0;c=a*2.8346456663999997;return (b?~~(c+(c>=0.0?.5:-.5)):0)|0}c=a>=0.0?.5:-.5}while(0);return ~~(a+c)|0}function is(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;c[d>>2]=0;e=0;while(1){if(e>>>0>=b>>>0){e=1;break}f=BN(a)|0;if(KL(a)|0){e=0;break}c[d>>2]=c[d>>2]|f<<(e<<3);e=e+1|0}return e|0}function js(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;a=c[b+20>>2]|0;if(a|0)LL(a)|0;if(c[b+52>>2]|0?(e=c[b+60>>2]|0,e|0):0)gb[e&127](b);_I(b);return}function ks(){var a=0;ym(0,1,86240,90527)|0;a=xr(0,1)|0;sE(a,0);return a|0}function ls(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0.0,n=0.0,o=0.0,p=0.0;k=l;l=l+304|0;j=k+24|0;i=k+8|0;f=k;g=k+40|0;if((fr(b,e)|0)!=999)if((gr(b,d)|0)==-1)b=-1;else{b=c[d+16>>2]|0;e=b+16|0;if(!(a[(c[b+8>>2]|0)+81>>0]|0)){p=+h[e>>3];o=+h[b+24>>3];n=+h[b+32>>3];m=+h[b+40>>3];c[j>>2]=~~(p+(p>=0.0?.5:-.5));c[j+4>>2]=~~(o+(o>=0.0?.5:-.5));c[j+8>>2]=~~(n+(n>=0.0?.5:-.5));c[j+12>>2]=~~(m+(m>=0.0?.5:-.5));pL(g,83918,j)|0}else{m=+h[b+24>>3];n=+h[e>>3];o=+h[b+40>>3];p=+h[b+32>>3];c[i>>2]=~~(m+(m>=0.0?.5:-.5));c[i+4>>2]=~~(n+(n>=0.0?.5:-.5));c[i+8>>2]=~~(o+(o>=0.0?.5:-.5));c[i+12>>2]=~~(p+(p>=0.0?.5:-.5));pL(g,83918,i)|0}Lm(d,87705,g,174181)|0;b=0}else{b=Kr(b,1,e)|0;c[f>>2]=e;c[f+4>>2]=b;_l(1,83869,f)|0;b=-1}l=k;return b|0}function ms(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;i=l;l=l+16|0;g=i;f=c[b+60>>2]|0;Br(a,d)|0;b=c[a+164>>2]|0;c[b+56>>2]=bD(b,c[b+52>>2]|0)|0;if((No(f,122277,0,1)|0)!=0?(c[(c[f+16>>2]|0)+8>>2]|0)!=0:0)h=5;else if(!(c[b+152>>2]&67108864)){bm(83930,g);b=-1}else h=5;if((h|0)==5){c[b+36>>2]=e;if(!e){h=b+152|0;c[h>>2]=c[h>>2]|134217728}h=Gv(a,f)|0;dD(b);Gr(a);b=h}l=i;return b|0}function ns(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;i=l;l=l+16|0;g=i;f=c[b+60>>2]|0;Br(a,d)|0;b=c[a+164>>2]|0;c[b+56>>2]=bD(b,c[b+52>>2]|0)|0;if((No(f,122277,0,1)|0)!=0?(c[(c[f+16>>2]|0)+8>>2]|0)!=0:0)h=5;else if(!(c[b+152>>2]&67108864)){bm(83930,g);b=-1}else h=5;if((h|0)==5){Ar(a,e);h=Gv(a,f)|0;dD(b);qr(b);Gr(a);b=h}l=i;return b|0}function os(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+16|0;h=m+8|0;g=m;b=c[b+60>>2]|0;Br(a,d)|0;j=c[a+164>>2]|0;c[j+56>>2]=bD(j,c[j+52>>2]|0)|0;if((No(b,122277,0,1)|0)!=0?(c[(c[b+16>>2]|0)+8>>2]|0)!=0:0)k=5;else if(!(c[j+152>>2]&67108864)){bm(83930,g);b=-1}else k=5;do if((k|0)==5){if(e|0?(i=ZI(4096)|0,c[e>>2]=i,i|0):0){g=j+40|0;c[g>>2]=i;c[j+44>>2]=4096;d=j+48|0;c[d>>2]=0;b=Gv(a,b)|0;dD(j);if(!b){c[e>>2]=c[g>>2];c[f>>2]=c[d>>2]}Gr(a);break}_l(1,83951,h)|0;b=-1}while(0);l=m;return b|0}function ps(a,b){a=a|0;b=b|0;qE(a,0,b);return}function qs(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;if(!((a|0)!=0?(ys(a)|0)!=0:0))a=84007;e=rJ(a)|0;if((e|0)>=104){d=ww(e+25|0)|0;if(!d)d=0;else f=6}else f=6;if((f|0)==6){xK(d,a)|0;c[b>>2]=e}return d|0}function rs(a,b){a=a|0;b=b|0;io(b,a,1)|0;return}function ss(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;c[b>>2]=d;c[b+4>>2]=d+4096;c[b+12>>2]=0;c[b+8>>2]=0;c[a>>2]=b;c[a+4>>2]=b;c[a+8>>2]=d;c[a+12>>2]=e;c[a+16>>2]=f;return}function ts(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;ws(e,b);i=e+12|0;j=e+16|0;b=0;a:while(1){k=xs(e)|0;if(!k)break;b=b+1|0;f=c[i>>2]|0;if(f|0)hb[f&31](k,d);h=Um(a,k)|0;while(1){if(!h)continue a;g=c[h>>2]&3;f=c[((g|0)==3?h:h+48|0)+40>>2]|0;if((f|0)==(k|0))f=c[((g|0)==2?h:h+-48|0)+40>>2]|0;if(!(ab[c[j>>2]&63](f,-1)|0))ws(e,f);h=Vm(a,h,k)|0}}return b|0}function us(a){a=a|0;var b=0;a=c[(c[a>>2]|0)+12>>2]|0;while(1){if(!a)break;b=c[a+12>>2]|0;vs(a);a=b}return}function vs(a){a=a|0;_I(c[a>>2]|0);_I(a);return}function ws(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+16|0;j=k+8|0;f=k;g=a+8|0;i=a+4|0;d=c[i>>2]|0;if((c[g>>2]|0)==(c[d+4>>2]|0)){d=c[d+12>>2]|0;do if(!d){e=ww(16)|0;if(!e){_l(1,83988,f)|0;Ua(168248,1)}c[e+8>>2]=c[i>>2];c[e+12>>2]=0;d=ww(4e6)|0;c[e>>2]=d;if(!d){_l(1,83988,j)|0;Ua(168248,1)}else{c[e+4>>2]=d+4e6;c[(c[i>>2]|0)+12>>2]=e;h=e;break}}else h=d;while(0);c[i>>2]=h;c[g>>2]=c[h>>2]}ab[c[a+16>>2]&63](b,1)|0;j=c[g>>2]|0;c[g>>2]=j+4;c[j>>2]=b;l=k;return}function xs(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;f=a+8|0;b=c[f>>2]|0;d=a+4|0;e=c[d>>2]|0;if((b|0)==(c[e>>2]|0))if((e|0)==(c[a>>2]|0))b=0;else{b=c[e+8>>2]|0;c[d>>2]=b;b=c[b+4>>2]|0;c[f>>2]=b;g=4}else g=4;if((g|0)==4){b=b+-4|0;c[f>>2]=b;b=c[b>>2]|0}return b|0}function ys(b){b=b|0;var c=0;a:while(1){c=b;b=b+1|0;c=a[c>>0]|0;switch(c<<24>>24){case 95:continue a;case 0:{b=1;break a}default:{}}if(!(gK(c&255)|0)){b=0;break}}return b|0}function zs(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=0;f=co(a)|0;while(1){if(!f)break;e=Pm(b,f)|0;while(1){if(!e)break;if(io(a,c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0,0)|0){en(a,e,1)|0;d=d+1|0}e=Rm(b,e)|0}f=eo(a,f)|0}return d|0}function As(a){a=a|0;a=Lo(a,84012,0)|0;if(!a)ma(84017,84020,529,84029);else return c[a+8>>2]|0;return 0}function Bs(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0;u=l;l=l+4320|0;s=u+24|0;r=u+8|0;q=u;t=u+4184|0;p=u+4160|0;f=u+40|0;if(mn(b)|0){So(b,0,84038,-12,0);So(b,1,84050,16,0);o=qs(e,f,t)|0;k=Cs(b)|0;m=ww((mn(k)|0)<<2)|0;ss(p,u+4144|0,u+48|0,23,22);h=co(k)|0;n=p+16|0;i=o+(c[f>>2]|0)|0;j=c[13918]|0;e=0;while(1){if(!h)break;if(!(ab[c[n>>2]&63](h,-1)|0)){c[q>>2]=e;pL(i,84952,q)|0;v=Ip(k,o,1)|0;w=Ip(b,o,1)|0;No(w,84038,12,0)|0;a[(Lo(w,84038,0)|0)+8>>0]=1;f=ts(k,h,v,p)|0;Es(v,w);g=Fs(w)|0;Gs(b,w);c[m+(e<<2)>>2]=w;qo(k,v)|0;if(0){c[r>>2]=e;c[r+4>>2]=f;c[r+8>>2]=g;zL(j,84062,r)|0}e=e+1|0}h=eo(k,h)|0}if(0){r=mn(b)|0;v=nn(b)|0;w=Dn(b)|0;c[s>>2]=r;c[s+4>>2]=v;c[s+8>>2]=e;c[s+12>>2]=w;zL(j,84092,s)|0}ln(k)|0;To(b,0,84038);To(b,1,84050);us(p);f=yw(m,e<<2)|0;if((o|0)!=(t|0))_I(o)}else{f=0;e=0}c[d>>2]=e;l=u;return f|0}function Cs(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;h=i;a[h>>0]=a[17652]|0;a[h+1>>0]=a[17653]|0;a[h+2>>0]=a[17654]|0;a[h+3>>0]=a[17655]|0;h=gn(84139,h,0)|0;Js(h,b);d=co(b)|0;while(1){if(!d)break;if(!(c[(Lo(d,84050,0)|0)+12>>2]|0)){g=no(h,Dn(d)|0,1)|0;No(g,84050,16,1)|0;c[(c[g+16>>2]|0)+12>>2]=d;c[(Lo(d,84050,0)|0)+12>>2]=g}d=eo(b,d)|0}e=co(b)|0;while(1){if(!e)break;f=c[(Lo(e,84050,0)|0)+12>>2]|0;d=Pm(b,e)|0;while(1){if(!d)break;g=c[(Lo(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0,84050,0)|0)+12>>2]|0;do if((g|0)!=(f|0))if(g>>>0>f>>>0){an(h,f,g,0,1)|0;break}else{an(h,g,f,0,1)|0;break}while(0);d=Rm(b,d)|0}e=eo(b,e)|0}l=i;return h|0}function Ds(b,d){b=b|0;d=d|0;var e=0;b=(c[b+16>>2]|0)+8|0;e=a[b>>0]|0;if((d|0)>=0)a[b>>0]=d;return e|0}function Es(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;e=co(a)|0;while(1){if(!e)break;f=c[(c[e+16>>2]|0)+12>>2]|0;a:do if((c[f>>2]&3|0)==1)io(b,f,1)|0;else{d=co(f)|0;while(1){if(!d)break a;io(b,d,1)|0;d=eo(f,d)|0}}while(0);e=eo(a,e)|0}return}function Fs(a){a=a|0;return zs(a,c[a+60>>2]|0)|0}function Gs(a,b){a=a|0;b=b|0;Hs(a,b,0);return}function Hs(b,c,d){b=b|0;c=c|0;d=d|0;var e=0,f=0,g=0;g=(d|0)==0;b=Jp(b)|0;while(1){if(!b)break;if((a[(Lo(b,84038,0)|0)+8>>0]|0)==0?(f=Is(b,c,d)|0,f|0):0){if(g)e=(VJ(Dn(b)|0,93039,7)|0)==0;else e=1;Hs(b,f,e&1)}b=Kp(b)|0}return}function Is(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;e=0;g=co(a)|0;while(1){if(!g)break;f=no(b,Dn(g)|0,0)|0;if(f){if(!e)e=Ip(b,Dn(a)|0,1)|0;io(e,f,1)|0}g=eo(a,g)|0}if((d|0)!=0&(e|0)==0)e=Ip(b,Dn(a)|0,1)|0;if(e|0?(zs(e,a)|0,Mm(a,e)|0,(VJ(Dn(e)|0,93039,7)|0)==0):0)c[(No(e,84012,12,0)|0)+8>>2]=a;return e|0}function Js(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;h=l;l=l+16|0;g=h;d=Jp(b)|0;e=c[13918]|0;while(1){if(!d)break;a:do if(!(VJ(Dn(d)|0,93039,7)|0)){f=no(a,Dn(d)|0,1)|0;No(f,84050,16,1)|0;c[(c[f+16>>2]|0)+12>>2]=d;b=co(d)|0;while(1){if(!b)break a;if(c[(Lo(b,84050,0)|0)+12>>2]|0){k=Dn(b)|0;j=Dn(d)|0;i=Dn(c[(Lo(b,84050,0)|0)+12>>2]|0)|0;c[g>>2]=k;c[g+4>>2]=j;c[g+8>>2]=i;zL(e,84142,g)|0}c[(Lo(b,84050,0)|0)+12>>2]=f;b=eo(d,b)|0}}else Js(a,d);while(0);d=Kp(d)|0}l=h;return}function Ks(a,b,c){a=a|0;b=b|0;c=c|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0.0;n=+h[a>>3];j=~~(n+(n>=0.0?.5:-.5));n=+h[a+8>>3];a=~~(n+(n>=0.0?.5:-.5));n=+h[b>>3];g=~~(n+(n>=0.0?.5:-.5));n=+h[b+8>>3];f=~~(n+(n>=0.0?.5:-.5));l=g-j|0;i=((l|0)>-1?l:0-l|0)<<1;l=l>>31|1;m=f-a|0;k=((m|0)>-1?m:0-m|0)<<1;m=m>>31|1;a:do if((i|0)>(k|0)){e=0-i|0;d=k-(i>>1)|0;b=j;while(1){Cx(c,b,a);if((b|0)==(g|0))break a;j=(d|0)>-1;d=d+k+(j?e:0)|0;b=b+l|0;a=(j?m:0)+a|0}}else{e=0-k|0;d=j;b=i-(k>>1)|0;while(1){Cx(c,d,a);if((a|0)==(f|0))break a;k=(b|0)>-1;d=(k?l:0)+d|0;b=b+i+(k?e:0)|0;a=a+m|0}}while(0);return}function Ls(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+16|0;k=n;j=n+4|0;do if((a|0)<1)d=0;else{f=e+16|0;if((c[f>>2]|0)>>>0<4){d=Ms(a,b,d,e)|0;break}m=ww(a<<5)|0;d=0;while(1){if((d|0)==(a|0))break;g=c[b+(d<<2)>>2]|0;dB(g);h=m+(d<<5)|0;g=(c[g+16>>2]|0)+16|0;c[h>>2]=c[g>>2];c[h+4>>2]=c[g+4>>2];c[h+8>>2]=c[g+8>>2];c[h+12>>2]=c[g+12>>2];c[h+16>>2]=c[g+16>>2];c[h+20>>2]=c[g+20>>2];c[h+24>>2]=c[g+24>>2];c[h+28>>2]=c[g+28>>2];d=d+1|0}if((c[f>>2]|0)==4){h=e+28|0;a:do if(c[h>>2]&2|0){f=e+24|0;c[f>>2]=vw(a<<2)|0;d=0;while(1){if((d|0)==(a|0))break a;g=Im(c[b+(d<<2)>>2]|0,84209)|0;if(g|0?(c[k>>2]=j,g=(cM(g,122187,k)|0)>0,i=c[j>>2]|0,g&(i|0)>-1):0)c[(c[f>>2]|0)+(d<<2)>>2]=i;d=d+1|0}}while(0);d=Ns(a,m,e)|0;if(c[h>>2]&2)_I(c[e+24>>2]|0)}else d=0;_I(m)}while(0);l=n;return d|0}function Ms(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0.0,I=0.0,J=0.0,K=0.0;G=l;l=l+144|0;B=G+136|0;A=G+64|0;F=G+48|0;v=G+40|0;u=G;t=G+120|0;x=G+104|0;C=G+96|0;D=c[f+20>>2]|0;c[x>>2]=0;c[x+4>>2]=0;c[x+8>>2]=0;c[x+12>>2]=0;a:do if((b|0)>=1){o=(D|0)==0;E=c[13918]|0;p=t+4|0;q=t+8|0;r=t+12|0;y=x+4|0;w=x+8|0;z=x+12|0;n=0;g=0;while(1){if((n|0)==(b|0))break;s=c[d+(n<<2)>>2]|0;dB(s);if(!o?(a[D+n>>0]|0)!=0:0){m=c[s+16>>2]|0;H=+h[m+16>>3];i=~~(H+(H>=0.0?.5:-.5));c[t>>2]=i;H=+h[m+24>>3];j=~~(H+(H>=0.0?.5:-.5));c[p>>2]=j;H=+h[m+32>>3];k=~~(H+(H>=0.0?.5:-.5));c[q>>2]=k;H=+h[m+40>>3];m=~~(H+(H>=0.0?.5:-.5));c[r>>2]=m;if(!g){c[x>>2]=c[t>>2];c[x+4>>2]=c[t+4>>2];c[x+8>>2]=c[t+8>>2];c[x+12>>2]=c[t+12>>2]}else{c[x>>2]=c[((c[x>>2]|0)>(i|0)?t:x)>>2];c[y>>2]=c[((c[y>>2]|0)>(j|0)?t:x)+4>>2];c[w>>2]=c[((c[w>>2]|0)<(k|0)?t:x)+8>>2];c[z>>2]=c[((c[z>>2]|0)<(m|0)?t:x)+12>>2]}g=g+1|0}if(0>2){m=Dn(s)|0;s=c[s+16>>2]|0;K=+h[s+16>>3];J=+h[s+24>>3];I=+h[s+32>>3];H=+h[s+40>>3];c[u>>2]=m;h[u+8>>3]=K;h[u+16>>3]=J;h[u+24>>3]=I;h[u+32>>3]=H;zL(E,84276,u)|0}n=n+1|0}q=ww(b<<5)|0;g=0;while(1){if((g|0)==(b|0))break;u=q+(g<<5)|0;t=(c[(c[d+(g<<2)>>2]|0)+16>>2]|0)+16|0;c[u>>2]=c[t>>2];c[u+4>>2]=c[t+4>>2];c[u+8>>2]=c[t+8>>2];c[u+12>>2]=c[t+12>>2];c[u+16>>2]=c[t+16>>2];c[u+20>>2]=c[t+20>>2];c[u+24>>2]=c[t+24>>2];c[u+28>>2]=c[t+28>>2];g=g+1|0}o=f+8|0;p=Qs(b,q,c[o>>2]|0)|0;if(0){c[v>>2]=p;zL(E,84304,v)|0}if((p|0)>=1){n=(D|0)!=0;if(n){i=((c[w>>2]|0)+(c[x>>2]|0)|0)/2|0;g=((c[z>>2]|0)+(c[y>>2]|0)|0)/2|0}else{i=0;g=0}c[C+4>>2]=g;c[C>>2]=i;m=vw(b<<4)|0;k=f+16|0;g=0;while(1){if((g|0)>=(b|0))break;i=c[d+(g<<2)>>2]|0;j=m+(g<<4)|0;c[m+(g<<4)+12>>2]=g;if((c[k>>2]|0)==3){x=(c[i+16>>2]|0)+16|0;y=c[o>>2]|0;z=Dn(i)|0;c[A>>2]=c[x>>2];c[A+4>>2]=c[x+4>>2];c[A+8>>2]=c[x+8>>2];c[A+12>>2]=c[x+12>>2];c[A+16>>2]=c[x+16>>2];c[A+20>>2]=c[x+20>>2];c[A+24>>2]=c[x+24>>2];c[A+28>>2]=c[x+28>>2];c[B>>2]=c[C>>2];c[B+4>>2]=c[C+4>>2];Rs(A,j,p,y,B,z)}else{c[B>>2]=c[C>>2];c[B+4>>2]=c[C+4>>2];Ss(e,i,j,p,f,B)}g=g+1|0}j=vw(b<<2)|0;g=0;while(1){if((g|0)>=(b|0))break;c[j+(g<<2)>>2]=m+(g<<4);g=g+1|0}rL(j,b,4,23);k=wx()|0;g=vw(b<<3)|0;b:do if(n){i=0;while(1){if((i|0)>=(b|0)){i=0;break}if(a[D+i>>0]|0){e=c[j+(i<<2)>>2]|0;f=g+(c[e+12>>2]<<3)|0;c[B>>2]=c[C>>2];c[B+4>>2]=c[C+4>>2];Us(e,k,f,B)}i=i+1|0}while(1){if((i|0)>=(b|0))break b;if(!(a[D+i>>0]|0)){C=c[j+(i<<2)>>2]|0;Vs(i,C,k,g+(c[C+12>>2]<<3)|0,p,c[o>>2]|0,q)}i=i+1|0}}else{i=0;while(1){if((i|0)>=(b|0))break b;D=c[j+(i<<2)>>2]|0;Vs(i,D,k,g+(c[D+12>>2]<<3)|0,p,c[o>>2]|0,q);i=i+1|0}}while(0);_I(j);i=0;while(1){if((i|0)>=(b|0))break;_I(c[m+(i<<4)+4>>2]|0);i=i+1|0}_I(m);zx(k);_I(q);if(0>1){i=0;while(1){if((i|0)>=(b|0))break a;C=c[g+(i<<3)>>2]|0;D=c[g+(i<<3)+4>>2]|0;c[F>>2]=i;c[F+4>>2]=C;c[F+8>>2]=D;zL(E,84320,F)|0;i=i+1|0}}}else g=0}else g=0;while(0);l=G;return g|0}function Ns(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0.0,j=0,k=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0;z=l;l=l+16|0;g=z;x=vw(a<<3)|0;f=c[d+4>>2]|0;y=d+28|0;e=(f|0)>0;do if(!(c[y>>2]&1))if(e){k=1;w=(a+-1+f|0)/(f|0)|0;break}else{f=~~+N(+(+C(+(+(a|0)))));k=1;w=(a+-1+f|0)/(f|0)|0;break}else if(e){k=0;w=f;f=(a+-1+f|0)/(f|0)|0;break}else{f=~~+N(+(+C(+(+(a|0)))));k=0;w=f;f=(a+-1+f|0)/(f|0)|0;break}while(0);if(0){v=c[13918]|0;c[g>>2]=k|0?84215:84225;c[g+4>>2]=w;c[g+8>>2]=f;zL(v,84238,g)|0}t=vw((f<<3)+8|0)|0;u=vw((w<<3)+8|0)|0;v=vw(a*24|0)|0;j=d+8|0;e=0;g=v;while(1){if((e|0)>=(a|0))break;p=+h[b+(e<<5)+8>>3];o=+h[b+(e<<5)+24>>3];q=+((c[j>>2]|0)>>>0);h[g>>3]=+h[b+(e<<5)+16>>3]-+h[b+(e<<5)>>3]+q;h[g+8>>3]=o-p+q;c[g+16>>2]=e;e=e+1|0;g=g+24|0}s=vw(a<<2)|0;e=0;while(1){if((e|0)>=(a|0))break;c[s+(e<<2)>>2]=v+(e*24|0);e=e+1|0}e=c[d+24>>2]|0;if(!e){if(!(c[y>>2]&64))rL(s,a,4,25)}else{c[42101]=e;rL(s,a,4,24)}r=(k|0)==0;e=0;g=0;j=0;while(1){if((j|0)>=(a|0)){i=0.0;e=0;break}k=c[s+(j<<2)>>2]|0;d=t+(g<<3)|0;q=+h[d>>3];p=+h[k>>3];h[d>>3]=q>p?q:p;d=u+(e<<3)|0;p=+h[d>>3];q=+h[k+8>>3];h[d>>3]=p>q?p:q;if(r){e=e+1|0;d=(e|0)==(w|0);e=d?0:e;g=g+(d&1)|0}else{g=g+1|0;d=(g|0)==(f|0);e=e+(d&1)|0;g=d?0:g}j=j+1|0}while(1){if((e|0)>(f|0)){i=0.0;e=w;break}d=t+(e<<3)|0;q=+h[d>>3];h[d>>3]=i;i=q+i;e=e+1|0}while(1){if((e|0)<=0)break;d=e+-1|0;q=+h[u+(d<<3)>>3];h[u+(e<<3)>>3]=i;i=q+i;e=d}h[u>>3]=i;e=0;g=0;d=0;while(1){if((d|0)>=(a|0))break;k=c[(c[s+(d<<2)>>2]|0)+16>>2]|0;i=+h[b+(k<<5)>>3];m=-i;p=+h[b+(k<<5)+8>>3];q=-p;n=+h[b+(k<<5)+16>>3];o=+h[b+(k<<5)+24>>3];j=c[y>>2]|0;do if(!(j&4))if(!(j&8)){i=(m-n+ +h[t+(g<<3)>>3]+ +h[t+(g+1<<3)>>3])*.5;break}else{i=i-n+ +h[t+(g+1<<3)>>3];break}else i=+h[t+(g<<3)>>3];while(0);c[x+(k<<3)>>2]=~~i;do if(!(j&16))if(!(j&32)){i=(q-o+ +h[u+(e<<3)>>3]+ +h[u+(e+1<<3)>>3])*.5;break}else{i=+h[u+(e+1<<3)>>3];break}else i=p-o+ +h[u+(e<<3)>>3];while(0);c[x+(k<<3)+4>>2]=~~i;if(r){e=e+1|0;k=(e|0)==(w|0);e=k?0:e;g=g+(k&1)|0}else{g=g+1|0;k=(g|0)==(f|0);e=e+(k&1)|0;g=k?0:g}d=d+1|0}_I(v);_I(s);_I(t);_I(u);l=z;return x|0}function Os(a,b){a=a|0;b=b|0;var d=0;d=c[42101]|0;a=c[d+(c[(c[a>>2]|0)+16>>2]<<2)>>2]|0;b=c[d+(c[(c[b>>2]|0)+16>>2]<<2)>>2]|0;return ((a|0)>(b|0)?1:((a|0)<(b|0))<<31>>31)|0}function Ps(a,b){a=a|0;b=b|0;var d=0.0,e=0.0;a=c[a>>2]|0;b=c[b>>2]|0;e=+h[a>>3]+ +h[a+8>>3];d=+h[b>>3]+ +h[b+8>>3];return (e<d?1:(e>d)<<31>>31)|0}function Qs(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0.0,g=0.0,i=0.0,j=0.0,k=0,m=0,n=0.0,o=0.0,p=0,q=0,r=0,s=0;s=l;l=l+96|0;q=s+80|0;r=s+48|0;p=s+8|0;m=s;k=(a*100|0)+-1|0;e=+(d<<1|0);n=0.0;o=0.0;d=0;while(1){if((d|0)>=(a|0))break;j=+h[b+(d<<5)+16>>3]-+h[b+(d<<5)>>3]+e;i=+h[b+(d<<5)+24>>3]-+h[b+(d<<5)+8>>3]+e;n=n-j-i;o=o-i*j;d=d+1|0}i=+(k|0);j=n*n-i*4.0*o;if(!(j<0.0)){e=+C(+j);g=i*2.0;f=(e-n)/g;g=(-n-e)/g;d=~~f;d=(d|0)==0?1:d;if(0>2){m=c[13918]|0;XL(84463,27,1,m)|0;h[p>>3]=i;h[p+8>>3]=n;h[p+16>>3]=o;h[p+24>>3]=j;h[p+32>>3]=e;zL(m,84491,p)|0;c[r>>2]=d;h[r+8>>3]=f;c[r+16>>2]=~~g;h[r+24>>3]=g;zL(m,84517,r)|0;h[q>>3]=(f*i+n)*f+o;h[q+8>>3]=(g*i+n)*g+o;zL(m,84539,q)|0}}else{h[m>>3]=j;_l(1,84436,m)|0;d=-1}l=s;return d|0}function Rs(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0.0,w=0.0;u=l;l=l+32|0;t=u+16|0;s=u;p=+h[a>>3];q=+h[a+8>>3];n=+h[a+16>>3];o=+h[a+24>>3];r=wx()|0;j=c[f>>2]|0;a=j-e|0;k=c[f+4>>2]|0;i=k-e|0;j=e-~~(p+(p>=0.0?.5:-.5))+j+~~(n+(n>=0.0?.5:-.5))|0;k=e-~~(q+(q>=0.0?.5:-.5))+k+~~(o+(o>=0.0?.5:-.5))|0;if((a|0)>-1)f=(a|0)/(d|0)|0;else f=((a+1|0)/(d|0)|0)+-1|0;if((i|0)>-1)m=(i|0)/(d|0)|0;else m=((i+1|0)/(d|0)|0)+-1|0;if((j|0)>-1)j=(j|0)/(d|0)|0;else j=((j+1|0)/(d|0)|0)+-1|0;if((k|0)>-1)i=(k|0)/(d|0)|0;else i=((k+1|0)/(d|0)|0)+-1|0;while(1){if((f|0)>(j|0))break;else a=m;while(1){if((a|0)>(i|0))break;Cx(r,f,a);a=a+1|0}f=f+1|0}k=b+4|0;c[k>>2]=Gx(r)|0;j=Fx(r)|0;m=b+8|0;c[m>>2]=j;w=+(e<<1|0);v=+(d|0);i=~~+N(+((n+w-p)/v));a=~~+N(+((o+w-q)/v));c[b>>2]=a+i;a:do if(0>2){f=c[13918]|0;c[s>>2]=g;c[s+4>>2]=j;c[s+8>>2]=i;c[s+12>>2]=a;zL(f,84395,s)|0;a=0;while(1){if((a|0)>=(c[m>>2]|0))break a;g=c[k>>2]|0;s=c[g+(a<<3)+4>>2]|0;c[t>>2]=c[g+(a<<3)>>2];c[t+4>>2]=s;zL(f,84422,t)|0;a=a+1|0}}while(0);zx(r);l=u;return}function Ss(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0.0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,O=0,P=0,Q=0.0,R=0.0;P=l;l=l+128|0;F=P+112|0;E=P+104|0;O=P+16|0;M=P;H=P+64|0;I=P+56|0;z=P+40|0;A=P+96|0;y=P+88|0;v=P+24|0;w=P+80|0;x=P+72|0;K=c[f+8>>2]|0;G=c[f+12>>2]|0;C=(a|0)==0?b:a;L=wx()|0;J=b+16|0;B=c[J>>2]|0;t=+h[B+16>>3];D=(c[g>>2]|0)-~~(t+(t>=0.0?.5:-.5))|0;t=+h[B+24>>3];B=(c[g+4>>2]|0)-~~(t+(t>=0.0?.5:-.5))|0;a:do if((c[f+16>>2]|0)==1){v=ww((mn(b)|0)<<2)|0;a=0;g=co(b)|0;while(1){if(!g)break;x=g+16|0;c[v+(a<<2)>>2]=c[(c[x>>2]|0)+112>>2];c[(c[x>>2]|0)+112>>2]=0;a=a+1|0;g=eo(b,g)|0}o=D-K|0;p=B-K|0;q=D+K|0;r=B+K|0;n=1;while(1){a=c[J>>2]|0;if((n|0)>(c[a+180>>2]|0))break;m=c[(c[a+184>>2]|0)+(n<<2)>>2]|0;i=c[m+16>>2]|0;t=+h[i+16>>3];a=~~(t+(t>=0.0?.5:-.5));t=+h[i+24>>3];g=~~(t+(t>=0.0?.5:-.5));t=+h[i+32>>3];f=~~(t+(t>=0.0?.5:-.5));t=+h[i+40>>3];i=~~(t+(t>=0.0?.5:-.5));b:do if((f|0)>(a|0)&(i|0)>(g|0)){a=o+a|0;j=p+g|0;f=q+f|0;k=r+i|0;if((a|0)>-1)g=(a|0)/(e|0)|0;else g=((a+1|0)/(e|0)|0)+-1|0;if((j|0)>-1)j=(j|0)/(e|0)|0;else j=((j+1|0)/(e|0)|0)+-1|0;if((f|0)>-1)i=(f|0)/(e|0)|0;else i=((f+1|0)/(e|0)|0)+-1|0;if((k|0)>-1)f=(k|0)/(e|0)|0;else f=((k+1|0)/(e|0)|0)+-1|0;while(1){if((g|0)>(i|0))break;else a=j;while(1){if((a|0)>(f|0))break;Cx(L,g,a);a=a+1|0}g=g+1|0}a=co(m)|0;while(1){if(!a)break b;c[(c[a+16>>2]|0)+212>>2]=m;a=eo(m,a)|0}}while(0);n=n+1|0}r=z+8|0;s=H+4|0;t=+(K|0);u=I+4|0;q=A+4|0;p=y+4|0;o=co(b)|0;while(1){if(!o)break;OA(z,o);R=+h[z>>3];Q=+h[r>>3];m=D+~~(R+(R>=0.0?.5:-.5))|0;c[H>>2]=m;n=B+~~(Q+(Q>=0.0?.5:-.5))|0;c[s>>2]=n;g=o+16|0;a=c[g>>2]|0;c:do if(!(c[a+212>>2]|0)){c[I>>2]=~~((+h[a+96>>3]+ +h[a+88>>3])*.5+t);c[u>>2]=~~(+h[a+80>>3]*.5+t);c[E>>2]=c[H>>2];c[E+4>>2]=c[H+4>>2];c[F>>2]=c[I>>2];c[F+4>>2]=c[I+4>>2];Xs(A,E,F);a=c[A>>2]|0;f=c[q>>2]|0;c[E>>2]=c[H>>2];c[E+4>>2]=c[H+4>>2];c[F>>2]=c[I>>2];c[F+4>>2]=c[I+4>>2];Ys(y,E,F);i=c[y>>2]|0;j=c[p>>2]|0;if((a|0)>-1)g=(a|0)/(e|0)|0;else g=((a+1|0)/(e|0)|0)+-1|0;if((f|0)>-1)k=(f|0)/(e|0)|0;else k=((f+1|0)/(e|0)|0)+-1|0;if((i|0)>-1)i=(i|0)/(e|0)|0;else i=((i+1|0)/(e|0)|0)+-1|0;if((j|0)>-1)f=(j|0)/(e|0)|0;else f=((j+1|0)/(e|0)|0)+-1|0;while(1){if((g|0)>(i|0))break;else a=k;while(1){if((a|0)>(f|0))break;Cx(L,g,a);a=a+1|0}g=g+1|0}if((m|0)>-1)a=(m|0)/(e|0)|0;else a=((m+1|0)/(e|0)|0)+-1|0;c[H>>2]=a;if((n|0)>-1)a=(n|0)/(e|0)|0;else a=((n+1|0)/(e|0)|0)+-1|0;c[s>>2]=a;a=Pm(C,o)|0;while(1){if(!a)break c;c[F>>2]=c[H>>2];c[F+4>>2]=c[H+4>>2];Zs(a,F,L,D,B,e,G);a=Rm(C,a)|0}}else{if((m|0)>-1)a=(m|0)/(e|0)|0;else a=((m+1|0)/(e|0)|0)+-1|0;c[H>>2]=a;if((n|0)>-1)a=(n|0)/(e|0)|0;else a=((n+1|0)/(e|0)|0)+-1|0;c[s>>2]=a;a=Pm(C,o)|0;while(1){if(!a)break c;if((c[(c[g>>2]|0)+212>>2]|0)!=(c[(c[(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0)){c[F>>2]=c[H>>2];c[F+4>>2]=c[H+4>>2];Zs(a,F,L,D,B,e,G)}a=Rm(C,a)|0}}while(0);o=eo(b,o)|0}a=0;g=co(b)|0;while(1){if(!g)break;c[(c[g+16>>2]|0)+112>>2]=c[v+(a<<2)>>2];a=a+1|0;g=eo(b,g)|0}_I(v)}else{r=v+8|0;s=H+4|0;t=+(K|0);u=I+4|0;q=w+4|0;p=x+4|0;o=co(b)|0;while(1){if(!o)break a;OA(v,o);Q=+h[v>>3];R=+h[r>>3];m=D+~~(Q+(Q>=0.0?.5:-.5))|0;c[H>>2]=m;n=B+~~(R+(R>=0.0?.5:-.5))|0;c[s>>2]=n;a=c[o+16>>2]|0;c[I>>2]=~~((+h[a+96>>3]+ +h[a+88>>3])*.5+t);c[u>>2]=~~(+h[a+80>>3]*.5+t);c[E>>2]=c[H>>2];c[E+4>>2]=c[H+4>>2];c[F>>2]=c[I>>2];c[F+4>>2]=c[I+4>>2];Xs(w,E,F);a=c[w>>2]|0;f=c[q>>2]|0;c[E>>2]=c[H>>2];c[E+4>>2]=c[H+4>>2];c[F>>2]=c[I>>2];c[F+4>>2]=c[I+4>>2];Ys(x,E,F);i=c[x>>2]|0;j=c[p>>2]|0;if((a|0)>-1)g=(a|0)/(e|0)|0;else g=((a+1|0)/(e|0)|0)+-1|0;if((f|0)>-1)k=(f|0)/(e|0)|0;else k=((f+1|0)/(e|0)|0)+-1|0;if((i|0)>-1)i=(i|0)/(e|0)|0;else i=((i+1|0)/(e|0)|0)+-1|0;if((j|0)>-1)f=(j|0)/(e|0)|0;else f=((j+1|0)/(e|0)|0)+-1|0;while(1){if((g|0)>(i|0))break;else a=k;while(1){if((a|0)>(f|0))break;Cx(L,g,a);a=a+1|0}g=g+1|0}if((m|0)>-1)a=(m|0)/(e|0)|0;else a=((m+1|0)/(e|0)|0)+-1|0;c[H>>2]=a;if((n|0)>-1)a=(n|0)/(e|0)|0;else a=((n+1|0)/(e|0)|0)+-1|0;c[s>>2]=a;a=Pm(C,o)|0;while(1){if(!a)break;c[F>>2]=c[H>>2];c[F+4>>2]=c[H+4>>2];Zs(a,F,L,D,B,e,G);a=Rm(C,a)|0}o=eo(b,o)|0}}while(0);i=d+4|0;c[i>>2]=Gx(L)|0;j=d+8|0;c[j>>2]=Fx(L)|0;g=c[J>>2]|0;Q=+(K<<1|0);R=+(e|0);a=~~+N(+((+h[g+32>>3]+Q-+h[g+16>>3])/R));g=~~+N(+((+h[g+40>>3]+Q-+h[g+24>>3])/R));c[d>>2]=g+a;d:do if(0>2){f=c[13918]|0;d=Dn(b)|0;b=c[j>>2]|0;c[M>>2]=d;c[M+4>>2]=b;c[M+8>>2]=a;c[M+12>>2]=g;zL(f,84395,M)|0;a=0;while(1){if((a|0)>=(c[j>>2]|0))break d;b=c[i>>2]|0;M=c[b+(a<<3)+4>>2]|0;c[O>>2]=c[b+(a<<3)>>2];c[O+4>>2]=M;zL(f,84422,O)|0;a=a+1|0}}while(0);zx(L);l=P;return}function Ts(a,b){a=a|0;b=b|0;return (c[c[b>>2]>>2]|0)-(c[c[a>>2]>>2]|0)|0}function Us(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;j=l;l=l+32|0;h=j+16|0;i=j;k=c[a+4>>2]|0;g=c[a+8>>2]|0;c[d>>2]=0-(c[e>>2]|0);f=d+4|0;c[f>>2]=0-(c[e+4>>2]|0);a=0;e=k;while(1){if((a|0)>=(g|0))break;c[h>>2]=c[e>>2];c[h+4>>2]=c[e+4>>2];Ax(b,h);a=a+1|0;e=e+8|0}if(0>1){k=c[13918]|0;b=c[d>>2]|0;d=c[f>>2]|0;c[i>>2]=g;c[i+4>>2]=b;c[i+8>>2]=d;zL(k,84369,i)|0}l=j;return}function Vs(a,b,d,e,f,g,i){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0,l=0.0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0;k=c[b+12>>2]|0;l=+h[i+(k<<5)>>3];m=+h[i+(k<<5)+8>>3];n=+h[i+(k<<5)+16>>3];o=+h[i+(k<<5)+24>>3];if(!((a|0)==0?(q=+(g<<1|0),p=+(f|0),(Ws((~~+N(+((q-l+n)/p))|0)/-2|0,(~~+N(+((q-m+o)/p))|0)/-2|0,b,d,e,f,i)|0)!=0):0))j=3;a:do if((j|0)==3?(Ws(0,0,b,d,e,f,i)|0)==0:0)if((~~+N(+(n-l))|0)<(~~+N(+(o-m))|0)){k=1;while(1){j=0-k|0;a=0;while(1){if((a|0)<=(j|0)){g=j;break}if(Ws(j,a,b,d,e,f,i)|0)break a;a=a+-1|0}while(1){if((g|0)>=(k|0))break;if(Ws(g,a,b,d,e,f,i)|0)break a;g=g+1|0}while(1){if((a|0)>=(k|0))break;if(Ws(g,a,b,d,e,f,i)|0)break a;a=a+1|0}while(1){if((g|0)<=(j|0))break;if(Ws(g,a,b,d,e,f,i)|0)break a;g=g+-1|0}while(1){if((a|0)<=0)break;if(!(Ws(g,a,b,d,e,f,i)|0))a=a+-1|0;else break a}k=k+1|0}}else{k=1;while(1){j=0-k|0;a=0;while(1){if((a|0)>=(k|0)){g=j;break}if(Ws(a,j,b,d,e,f,i)|0)break a;a=a+1|0}while(1){if((g|0)>=(k|0))break;if(Ws(a,g,b,d,e,f,i)|0)break a;g=g+1|0}while(1){if((a|0)<=(j|0))break;if(Ws(a,g,b,d,e,f,i)|0)break a;a=a+-1|0}while(1){if((g|0)<=(j|0))break;if(Ws(a,g,b,d,e,f,i)|0)break a;g=g+-1|0}while(1){if((a|0)>=0)break;if(!(Ws(a,g,b,d,e,f,i)|0))a=a+1|0;else break a}k=k+1|0}}while(0);return}function Ws(a,b,d,e,f,g,i){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0.0,x=0.0;t=l;l=l+48|0;r=t+32|0;s=t+8|0;q=t;m=d+4|0;o=c[d+8>>2]|0;p=q+4|0;j=c[m>>2]|0;k=0;while(1){if((k|0)>=(o|0)){n=5;break}v=j;u=c[v+4>>2]|0;c[q>>2]=(c[v>>2]|0)+a;c[p>>2]=u+b;c[r>>2]=c[q>>2];c[r+4>>2]=c[q+4>>2];if(Dx(e,r)|0){j=0;break}j=j+8|0;k=k+1|0}if((n|0)==5){d=c[d+12>>2]|0;x=+h[i+(d<<5)>>3];w=+h[i+(d<<5)+8>>3];c[f>>2]=(O(g,a)|0)-~~(x+(x>=0.0?.5:-.5));d=f+4|0;c[d>>2]=(O(g,b)|0)-~~(w+(w>=0.0?.5:-.5));j=c[m>>2]|0;k=0;while(1){if((k|0)>=(o|0))break;u=j;v=c[u+4>>2]|0;c[q>>2]=(c[u>>2]|0)+a;c[p>>2]=v+b;c[r>>2]=c[q>>2];c[r+4>>2]=c[q+4>>2];Ax(e,r);j=j+8|0;k=k+1|0}if(0>1){j=c[13918]|0;u=c[f>>2]|0;v=c[d>>2]|0;c[s>>2]=o;c[s+4>>2]=a;c[s+8>>2]=b;c[s+12>>2]=u;c[s+16>>2]=v;zL(j,84335,s)|0;j=1}else j=1}l=t;return j|0}function Xs(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=(c[b+4>>2]|0)-(c[d+4>>2]|0)|0;c[a>>2]=(c[b>>2]|0)-(c[d>>2]|0);c[a+4>>2]=e;return}function Ys(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=(c[d+4>>2]|0)+(c[b+4>>2]|0)|0;c[a>>2]=(c[d>>2]|0)+(c[b>>2]|0);c[a+4>>2]=e;return}function Zs(a,b,d,e,f,g,i){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0.0,k=0.0,m=0,n=0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0;A=l;l=l+112|0;x=A+96|0;w=A+80|0;r=A+48|0;s=A+32|0;y=A+16|0;z=A;n=A+64|0;h[y>>3]=+(c[b>>2]|0);t=y+8|0;h[t>>3]=+(c[b+4>>2]|0);a:do if((i|0)!=0?(u=a+16|0,m=c[(c[u>>2]|0)+8>>2]|0,(m|0)!=0):0){q=+(e|0);p=+(f|0);o=1.0/+(g|0);n=z+8|0;i=0;while(1){if((i|0)>=(c[m+4>>2]|0))break a;f=c[m>>2]|0;a=c[f+(i*48|0)>>2]|0;b=c[f+(i*48|0)+4>>2]|0;g=c[f+(i*48|0)+8>>2]|0;e=c[f+(i*48|0)+12>>2]|0;m=f+(i*48|0)+16|0;c[r>>2]=c[m>>2];c[r+4>>2]=c[m+4>>2];c[r+8>>2]=c[m+8>>2];c[r+12>>2]=c[m+12>>2];f=f+(i*48|0)+32|0;c[s>>2]=c[f>>2];c[s+4>>2]=c[f+4>>2];c[s+8>>2]=c[f+8>>2];c[s+12>>2]=c[f+12>>2];if(!g){c[y>>2]=c[a>>2];c[y+4>>2]=c[a+4>>2];c[y+8>>2]=c[a+8>>2];c[y+12>>2]=c[a+12>>2];m=a+16|0;c[z>>2]=c[m>>2];c[z+4>>2]=c[m+4>>2];c[z+8>>2]=c[m+8>>2];c[z+12>>2]=c[m+12>>2];m=2}else{c[y>>2]=c[r>>2];c[y+4>>2]=c[r+4>>2];c[y+8>>2]=c[r+8>>2];c[y+12>>2]=c[r+12>>2];c[z>>2]=c[a>>2];c[z+4>>2]=c[a+4>>2];c[z+8>>2]=c[a+8>>2];c[z+12>>2]=c[a+12>>2];m=1}j=+h[y>>3]+q;h[y>>3]=j;k=+h[t>>3]+p;h[t>>3]=k;if(!(j>=0.0))j=(j+1.0)*o+-1.0;else j=j*o;h[y>>3]=j;if(!(k>=0.0))j=(k+1.0)*o+-1.0;else j=k*o;h[t>>3]=j;j=+h[z>>3]+q;h[z>>3]=j;k=+h[n>>3]+p;h[n>>3]=k;if(!(j>=0.0))j=(j+1.0)*o+-1.0;else j=j*o;h[z>>3]=j;if(!(k>=0.0))j=(k+1.0)*o+-1.0;else j=k*o;h[n>>3]=j;c[w>>2]=c[y>>2];c[w+4>>2]=c[y+4>>2];c[w+8>>2]=c[y+8>>2];c[w+12>>2]=c[y+12>>2];c[x>>2]=c[z>>2];c[x+4>>2]=c[z+4>>2];c[x+8>>2]=c[z+8>>2];c[x+12>>2]=c[z+12>>2];Ks(w,x,d);while(1){if((m|0)>=(b|0))break;c[y>>2]=c[z>>2];c[y+4>>2]=c[z+4>>2];c[y+8>>2]=c[z+8>>2];c[y+12>>2]=c[z+12>>2];g=a+(m<<4)|0;c[z>>2]=c[g>>2];c[z+4>>2]=c[g+4>>2];c[z+8>>2]=c[g+8>>2];c[z+12>>2]=c[g+12>>2];j=+h[z>>3]+q;h[z>>3]=j;k=+h[n>>3]+p;h[n>>3]=k;if(!(j>=0.0))j=(j+1.0)*o+-1.0;else j=j*o;h[z>>3]=j;if(!(k>=0.0))j=(k+1.0)*o+-1.0;else j=k*o;h[n>>3]=j;c[w>>2]=c[y>>2];c[w+4>>2]=c[y+4>>2];c[w+8>>2]=c[y+8>>2];c[w+12>>2]=c[y+12>>2];c[x>>2]=c[z>>2];c[x+4>>2]=c[z+4>>2];c[x+8>>2]=c[z+8>>2];c[x+12>>2]=c[z+12>>2];Ks(w,x,d);m=m+1|0}if(e|0){c[y>>2]=c[z>>2];c[y+4>>2]=c[z+4>>2];c[y+8>>2]=c[z+8>>2];c[y+12>>2]=c[z+12>>2];c[z>>2]=c[s>>2];c[z+4>>2]=c[s+4>>2];c[z+8>>2]=c[s+8>>2];c[z+12>>2]=c[s+12>>2];j=+h[z>>3]+q;h[z>>3]=j;k=+h[n>>3]+p;h[n>>3]=k;if(!(j>=0.0))j=(j+1.0)*o+-1.0;else j=j*o;h[z>>3]=j;if(!(k>=0.0))j=(k+1.0)*o+-1.0;else j=k*o;h[n>>3]=j;c[w>>2]=c[y>>2];c[w+4>>2]=c[y+4>>2];c[w+8>>2]=c[y+8>>2];c[w+12>>2]=c[y+12>>2];c[x>>2]=c[z>>2];c[x+4>>2]=c[z+4>>2];c[x+8>>2]=c[z+8>>2];c[x+12>>2]=c[z+12>>2];Ks(w,x,d)}i=i+1|0;m=c[(c[u>>2]|0)+8>>2]|0}}else v=4;while(0);if((v|0)==4){OA(n,c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0);c[z>>2]=c[n>>2];c[z+4>>2]=c[n+4>>2];c[z+8>>2]=c[n+8>>2];c[z+12>>2]=c[n+12>>2];j=+h[z>>3]+ +(e|0);h[z>>3]=j;m=z+8|0;k=+h[m>>3]+ +(f|0);h[m>>3]=k;if(!(j>=0.0))j=(j+1.0)/+(g|0)+-1.0;else j=j/+(g|0);h[z>>3]=j;if(!(k>=0.0))j=(k+1.0)/+(g|0)+-1.0;else j=k/+(g|0);h[m>>3]=j;c[w>>2]=c[y>>2];c[w+4>>2]=c[y+4>>2];c[w+8>>2]=c[y+8>>2];c[w+12>>2]=c[y+12>>2];c[x>>2]=c[z>>2];c[x+4>>2]=c[z+4>>2];c[x+8>>2]=c[z+8>>2];c[x+12>>2]=c[z+12>>2];Ks(w,x,d)}l=A;return}function _s(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,l=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0,r=0,s=0,t=0;a:do if((a|0)<1)f=0-a|0;else{s=(e|0)==0;q=(f|0)==0;j=0;while(1){if((j|0)==(a|0)){f=0;break a}r=c[b+(j<<2)>>2]|0;g=s?r:e;k=c[d+(j<<3)>>2]|0;l=c[d+(j<<3)+4>>2]|0;m=+(k|0);n=m*.013888888888888888;o=+(l|0);p=o*.013888888888888888;i=co(r)|0;while(1){if(!i)break;f=c[i+16>>2]|0;t=c[f+132>>2]|0;h[t>>3]=+h[t>>3]+n;t=t+8|0;h[t>>3]=+h[t>>3]+p;t=f+16|0;h[t>>3]=+h[t>>3]+m;t=f+24|0;h[t>>3]=+h[t>>3]+o;f=c[f+108>>2]|0;if(f|0){t=f+56|0;h[t>>3]=+h[t>>3]+m;t=f+64|0;h[t>>3]=+h[t>>3]+o}b:do if(!q){f=Pm(g,i)|0;while(1){if(!f)break b;$s(f,k,l);f=Rm(g,f)|0}}while(0);i=eo(r,i)|0}at(r,k,l);j=j+1|0}}while(0);return f|0}function $s(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0.0,k=0,l=0.0,m=0,n=0;e=c[a+16>>2]|0;a=c[e+96>>2]|0;if(a|0){m=a+56|0;h[m>>3]=+h[m>>3]+ +(b|0);m=a+64|0;h[m>>3]=+h[m>>3]+ +(d|0)}a=c[e+108>>2]|0;if(a|0){m=a+56|0;h[m>>3]=+h[m>>3]+ +(b|0);m=a+64|0;h[m>>3]=+h[m>>3]+ +(d|0)}a=c[e+100>>2]|0;if(a|0){m=a+56|0;h[m>>3]=+h[m>>3]+ +(b|0);m=a+64|0;h[m>>3]=+h[m>>3]+ +(d|0)}a=c[e+104>>2]|0;if(a|0){m=a+56|0;h[m>>3]=+h[m>>3]+ +(b|0);m=a+64|0;h[m>>3]=+h[m>>3]+ +(d|0)}m=c[e+8>>2]|0;a:do if(m|0){l=+(b|0);j=+(d|0);b=c[m+4>>2]|0;a=0;while(1){if((a|0)>=(b|0))break a;k=c[m>>2]|0;d=c[k+(a*48|0)>>2]|0;f=c[k+(a*48|0)+4>>2]|0;g=c[k+(a*48|0)+8>>2]|0;i=c[k+(a*48|0)+12>>2]|0;e=0;while(1){if((e|0)>=(f|0))break;n=d+(e<<4)|0;h[n>>3]=+h[n>>3]+l;n=d+(e<<4)+8|0;h[n>>3]=+h[n>>3]+j;e=e+1|0}if(g|0){n=k+(a*48|0)+16|0;h[n>>3]=+h[n>>3]+l;n=k+(a*48|0)+24|0;h[n>>3]=+h[n>>3]+j}if(i|0){n=k+(a*48|0)+32|0;h[n>>3]=+h[n>>3]+l;n=k+(a*48|0)+40|0;h[n>>3]=+h[n>>3]+j}a=a+1|0}}while(0);return}function at(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0,k=0.0,l=0.0,m=0,n=0.0,o=0;j=b+16|0;b=c[j>>2]|0;o=b+16|0;m=b+24|0;f=b+32|0;b=b+40|0;g=+(d|0);l=+h[f>>3]+g;i=+(e|0);n=+h[m>>3]+i;k=+h[b>>3]+i;h[o>>3]=+h[o>>3]+g;h[m>>3]=n;h[f>>3]=l;h[b>>3]=k;b=c[j>>2]|0;f=c[b+12>>2]|0;if((f|0)!=0?(a[f+81>>0]|0)!=0:0){o=f+56|0;h[o>>3]=+h[o>>3]+g;f=f+64|0;h[f>>3]=+h[f>>3]+i;f=1}else f=1;while(1){if((f|0)>(c[b+180>>2]|0))break;at(c[(c[b+184>>2]|0)+(f<<2)>>2]|0,d,e);f=f+1|0;b=c[j>>2]|0}return}function bt(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;f=Ls(a,b,d,e)|0;if(!f)a=1;else{a=_s(a,b,f,d,c[e+12>>2]|0)|0;_I(f)}return a|0}function ct(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0;p=l;l=l+32|0;o=p;n=bt(a,b,d,e)|0;if(!n){dB(d);m=(c[d+16>>2]|0)+16|0;c[o>>2]=c[m>>2];c[o+4>>2]=c[m+4>>2];c[o+8>>2]=c[m+8>>2];c[o+12>>2]=c[m+12>>2];c[o+16>>2]=c[m+16>>2];c[o+20>>2]=c[m+20>>2];c[o+24>>2]=c[m+24>>2];c[o+28>>2]=c[m+28>>2];f=o+8|0;g=o+16|0;i=o+24|0;e=0;while(1){if((e|0)>=(a|0))break;k=c[(c[b+(e<<2)>>2]|0)+16>>2]|0;j=c[k+180>>2]|0;k=k+184|0;d=1;while(1){if((d|0)>(j|0))break;r=(c[(c[(c[k>>2]|0)+(d<<2)>>2]|0)+16>>2]|0)+16|0;h[o>>3]=+h[(+h[o>>3]<+h[r>>3]?o:r)>>3];r=c[(c[(c[k>>2]|0)+(d<<2)>>2]|0)+16>>2]|0;q=r+16|0;h[f>>3]=+h[(+h[f>>3]<+h[r+24>>3]?o:q)+8>>3];h[g>>3]=+h[(+h[g>>3]>+h[r+32>>3]?o:q)+16>>3];h[i>>3]=+h[(+h[i>>3]>+h[r+40>>3]?o:q)+24>>3];d=d+1|0}e=e+1|0}c[m>>2]=c[o>>2];c[m+4>>2]=c[o+4>>2];c[m+8>>2]=c[o+8>>2];c[m+12>>2]=c[o+12>>2];c[m+16>>2]=c[o+16>>2];c[m+20>>2]=c[o+20>>2];c[m+24>>2]=c[o+24>>2];c[m+28>>2]=c[o+28>>2]}l=p;return n|0}function dt(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;g=l;l=l+16|0;f=g;if(!e)ma(84553,84559,1400,84566);d=et(a,d,d)|0;c[e+8>>2]=d;if(0){h=c[13918]|0;c[f>>2]=d;zL(h,84578,f)|0}c[e+12>>2]=0;c[e+20>>2]=0;ft(a,b,e)|0;l=g;return c[e+16>>2]|0}function et(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;i=l;l=l+16|0;h=i;f=i+4|0;g=Im(b,84708)|0;a:do if(g){c[h>>2]=f;h=(cM(g,122187,h)|0)==1;b=c[f>>2]|0;if(h&(b|0)>-1)d=b;else{switch(a[g>>0]|0){case 84:case 116:break;default:break a}d=e}}while(0);l=i;return d|0}function ft(a,b,c){a=a|0;b=b|0;c=c|0;return gt(Im(a,84591)|0,b,c)|0}function gt(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0.0;u=l;l=l+64|0;r=u+40|0;q=u+32|0;t=u+24|0;s=u+16|0;m=u+8|0;k=u;i=u+48|0;j=u+44|0;if(!e)ma(84553,84559,1292,84600);o=e+28|0;c[o>>2]=0;p=e+16|0;c[p>>2]=d;n=e+4|0;c[n>>2]=0;c[e+24>>2]=0;a:do if(b|0?(f=a[b>>0]|0,f<<24>>24):0)switch(f<<24>>24|0){case 97:if(!(VJ(b,84618,5)|0)){c[p>>2]=4;m=ht(b+5|0,e)|0;c[k>>2]=j;m=(cM(m,122187,k)|0)>0;d=c[j>>2]|0;if(!(m&(d|0)>0))break a;c[n>>2]=d;break a}else{if(VJ(b,84624,6)|0)break a;c[p>>2]=5;c[m>>2]=i;m=(cM(b+5|0,84631,m)|0)>0;v=+g[i>>2];g[e>>2]=m&v>0.0?v:1.0;break a}case 99:{if(f<<24>>24!=99)break a;if(xJ(b,93039)|0)break a;c[p>>2]=1;break a}case 103:{if(f<<24>>24!=103)break a;if(xJ(b,96286)|0)break a;c[p>>2]=3;break a}case 110:{if(f<<24>>24!=110)break a;if(xJ(b,96273)|0)break a;c[p>>2]=2;break a}default:break a}while(0);if(0){d=c[13918]|0;XL(84634,11,1,d)|0;c[s>>2]=it(c[p>>2]|0)|0;zL(d,84646,s)|0;if((c[p>>2]|0)==5){h[t>>3]=+g[e>>2];zL(d,84659,t)|0}c[q>>2]=c[n>>2];zL(d,84672,q)|0;c[r>>2]=c[o>>2];zL(d,84685,r)|0}l=u;return c[p>>2]|0}function ht(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;a:do if((a[b>>0]|0)==95){f=d+28|0;e=1;while(1){b=b+1|0;b:while(1){if(!e)break a;d=a[b>>0]|0;if(!(d<<24>>24))break a;switch(d<<24>>24|0){case 99:{g=10;break b}case 105:{g=9;break b}case 117:{g=11;break b}case 116:{g=12;break b}case 98:{d=32;break b}case 108:{g=7;break b}case 114:{g=8;break b}default:e=0}}if((g|0)==7){g=0;d=4}else if((g|0)==8){g=0;d=8}else if((g|0)==9){g=0;d=64}else if((g|0)==10){g=0;d=1}else if((g|0)==11){g=0;d=2}else if((g|0)==12){g=0;d=16}c[f>>2]=c[f>>2]|d}}while(0);return b|0}function it(a){a=a|0;switch(a|0){case 1:{a=93039;break}case 2:{a=96273;break}case 3:{a=96286;break}case 4:{a=84618;break}case 5:{a=84624;break}default:a=84698}return a|0}function jt(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+96|0;k=n;m=n+80|0;do if(a){if(!e){e=$I(1,20)|0;c[e+4>>2]=d>>>0>80?d:80}d=c[e>>2]|0;j=c[e+4>>2]|0;if(!d){h=100;d=a;i=$I(100,j)|0}else{h=d+100|0;i=aJ(c[e+8>>2]|0,O(h,j)|0)|0;VN(i+(O(j,d)|0)|0,0,j*100|0)|0;d=a}while(1){d=kt(k,d,b,m)|0;if(!d)break;a=c[e>>2]|0;f=h<<1;g=O(h,j)|0;if((a|0)==(h|0)){i=aJ(i,O(f,j)|0)|0;VN(i+g|0,0,g|0)|0;a=c[e>>2]|0}else f=h;a=i+(O(a,j)|0)|0;g=k;h=a+80|0;do{c[a>>2]=c[g>>2];a=a+4|0;g=g+4|0}while((a|0)<(h|0));c[e>>2]=(c[e>>2]|0)+1;h=f}if(c[m>>2]|0){m=e+16|0;c[m>>2]=c[m>>2]|1}d=c[e>>2]|0;if(!d){_I(i);_I(e);e=0;break}else{c[e+8>>2]=aJ(i,O(d,j)|0)|0;break}}while(0);l=n;return e|0}function kt(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0;j=l;l=l+80|0;h=j+64|0;i=j;c[f>>2]=0;do{g=a[d>>0]|0;d=d+1|0}while((XJ(g)|0)!=0);a:do switch(g|0){case 69:{c[b>>2]=0;d=lt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e>>2];break}case 101:{c[b>>2]=1;d=lt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e>>2];break}case 80:{c[b>>2]=2;d=mt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+4>>2];break}case 112:{c[b>>2]=3;d=mt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+4>>2];break}case 98:{c[b>>2]=4;d=mt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+8>>2];break}case 66:{c[b>>2]=5;d=mt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+8>>2];break}case 99:{d=nt(d,h)|0;if(!d){c[f>>2]=1;d=0;break a}g=ot(c[h>>2]|0,i)|0;c[h>>2]=g;if(!g){c[f>>2]=1;d=0;break a}if(!(c[i>>2]|0)){c[b>>2]=9;c[b+8>>2]=c[i+8>>2];if(!e)break a;c[b+72>>2]=c[e+24>>2];break a}else{c[b>>2]=14;f=b+8|0;g=i;h=f+64|0;do{c[f>>2]=c[g>>2];f=f+4|0;g=g+4|0}while((f|0)<(h|0));if(!e)break a;c[b+72>>2]=c[e+40>>2];break a}}case 67:{d=nt(d,h)|0;if(!d){c[f>>2]=1;d=0;break a}g=ot(c[h>>2]|0,i)|0;c[h>>2]=g;if(!g){c[f>>2]=1;d=0;break a}if(!(c[i>>2]|0)){c[b>>2]=8;c[b+8>>2]=c[i+8>>2];if(!e)break a;c[b+72>>2]=c[e+20>>2];break a}else{c[b>>2]=13;f=b+8|0;g=i;h=f+64|0;do{c[f>>2]=c[g>>2];f=f+4|0;g=g+4|0}while((f|0)<(h|0));if(!e)break a;c[b+72>>2]=c[e+40>>2];break a}}case 76:{c[b>>2]=6;d=mt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+12>>2];break}case 84:{c[b>>2]=7;d=pt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}d=pt(d,b+16|0)|0;if(!d){c[f>>2]=1;d=0;break a}d=qt(d,b+24|0)|0;if(!d){c[f>>2]=1;d=0;break a}d=pt(d,b+32|0)|0;if(!d){c[f>>2]=1;d=0;break a}d=nt(d,b+40|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+16>>2];break}case 70:{c[b>>2]=10;d=pt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}d=nt(d,b+16|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+28>>2];break}case 83:{c[b>>2]=11;d=nt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+32>>2];break}case 73:{c[b>>2]=12;d=lt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}d=nt(d,b+40|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+36>>2];break}case 116:{c[b>>2]=15;d=rt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+44>>2];break}case 0:{d=0;break}default:{c[f>>2]=1;d=0}}while(0);l=j;return d|0}function lt(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0;i=l;l=l+16|0;e=i;h[b>>3]=+tM(a,e);f=c[e>>2]|0;if(((f|0)!=(a|0)?(h[b+8>>3]=+tM(f,e),g=c[e>>2]|0,(f|0)!=(g|0)):0)?(h[b+16>>3]=+tM(g,e),d=c[e>>2]|0,(g|0)!=(d|0)):0){h[b+24>>3]=+tM(d,e);a=c[e>>2]|0;a=(d|0)==(a|0)?0:a}else a=0;l=i;return a|0}function mt(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0;k=l;l=l+16|0;j=k+4|0;g=k;a=st(a,j)|0;do if(a){d=c[j>>2]|0;i=$I(d,24)|0;c[b>>2]=d;e=i;f=0;while(1){if((f|0)>=(d|0)){d=9;break}h[e>>3]=+tM(a,g);d=c[g>>2]|0;if((a|0)==(d|0)){d=5;break}h[e+8>>3]=+tM(d,g);a=c[g>>2]|0;if((d|0)==(a|0)){d=7;break}h[e+16>>3]=0.0;e=e+24|0;d=c[b>>2]|0;f=f+1|0}if((d|0)==5){c[j>>2]=f;_I(i);a=0;break}else if((d|0)==7){c[j>>2]=f;_I(i);a=0;break}else if((d|0)==9){c[j>>2]=f;c[b+4>>2]=i;break}}else a=0;while(0);l=k;return a|0}function nt(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0;j=l;l=l+16|0;i=j;b=st(b,i)|0;f=c[i>>2]|0;do if(!((b|0)==0|(f|0)<1)){while(1){h=a[b>>0]|0;e=h<<24>>24==0;if(e^h<<24>>24!=45)b=b+1|0;else break}if(!e){h=$I(f+1|0,1)|0;g=h;e=f;while(1){b=b+1|0;if((e|0)<=0){e=9;break}e=a[b>>0]|0;if(!(e<<24>>24)){e=8;break}a[g>>0]=e;e=(c[i>>2]|0)+-1|0;c[i>>2]=e;g=g+1|0}if((e|0)==8){_I(h);b=0;break}else if((e|0)==9){a[g>>0]=0;c[d>>2]=h;break}}else b=0}else b=0;while(0);l=j;return b|0}function ot(b,d){b=b|0;d=d|0;var e=0;e=a[b>>0]|0;switch(e|0){case 91:{b=tt(b+1|0,d)|0;break}case 40:{b=ut(b+1|0,d)|0;break}case 47:case 35:{c[d>>2]=0;c[d+8>>2]=b;break}default:if(!(gK(e)|0))b=0;else{c[d>>2]=0;c[d+8>>2]=b}}return b|0}function pt(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0;f=l;l=l+16|0;d=f;e=+tM(a,d);d=c[d>>2]|0;if((d|0)==(a|0))d=0;else h[b>>3]=e;l=f;return d|0}function qt(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;a=st(a,e)|0;e=c[e>>2]|0;c[b>>2]=(e|0)<0?0:e|0?2:1;l=d;return a|0}function rt(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[b>>2]=YJ(a,e,10)|0;b=c[e>>2]|0;l=d;return ((b|0)==(a|0)?0:b)|0}function st(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[b>>2]=BL(a,e,10)|0;b=c[e>>2]|0;l=d;return ((b|0)==(a|0)?0:b)|0}function tt(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;m=o;c[b>>2]=1;n=b+8|0;i=pt(a,n)|0;do if(((((i|0)!=0?(j=pt(i,b+16|0)|0,(j|0)!=0):0)?(e=pt(j,b+24|0)|0,(e|0)!=0):0)?(f=pt(e,b+32|0)|0,(f|0)!=0):0)?(k=b+40|0,d=st(f,k)|0,(d|0)!=0):0){b=c[k>>2]|0;f=$I(b,8)|0;e=0;while(1){if((e|0)>=(b|0)){d=13;break}d=pt(d,m)|0;if(!d){d=9;break}g[f+(e<<3)>>2]=+h[m>>3];d=nt(d,f+(e<<3)+4|0)|0;if(!d){d=12;break}e=e+1|0;b=c[k>>2]|0}if((d|0)==9){_I(f);a=0;break}else if((d|0)==12){_I(f);a=0;break}else if((d|0)==13){c[n+36>>2]=f;break}}else a=0;while(0);l=o;return a|0}function ut(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;p=l;l=l+16|0;n=p;c[b>>2]=2;k=pt(a,b+8|0)|0;do if(((((((k|0)!=0?(m=pt(k,b+16|0)|0,(m|0)!=0):0)?(e=pt(m,b+24|0)|0,(e|0)!=0):0)?(f=pt(e,b+32|0)|0,(f|0)!=0):0)?(i=pt(f,b+40|0)|0,(i|0)!=0):0)?(j=pt(i,b+48|0)|0,(j|0)!=0):0)?(o=b+56|0,d=st(j,o)|0,(d|0)!=0):0){e=c[o>>2]|0;i=$I(e,8)|0;f=0;while(1){if((f|0)>=(e|0)){d=15;break}d=pt(d,n)|0;if(!d){d=11;break}g[i+(f<<3)>>2]=+h[n>>3];d=nt(d,i+(f<<3)+4|0)|0;if(!d){d=14;break}f=f+1|0;e=c[o>>2]|0}if((d|0)==11){_I(i);a=0;break}else if((d|0)==14){_I(i);a=0;break}else if((d|0)==15){c[b+60>>2]=i;break}}else a=0;while(0);l=p;return a|0}function vt(a,b,c){a=a|0;b=b|0;c=c|0;return jt(a,b,c,0)|0}function wt(a){a=a|0;return vt(a,0,0)|0}function xt(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;e=c[a+12>>2]|0;if(a|0){f=c[a+8>>2]|0;g=a+4|0;h=(e|0)==0;b=0;while(1){if((b|0)>=(c[a>>2]|0))break;d=f+(O(c[g>>2]|0,b)|0)|0;if(!h)gb[e&127](d);yt(d);b=b+1|0}_I(f);_I(a)}return}function yt(a){a=a|0;switch(c[a>>2]|0){case 3:case 2:{_I(c[a+8+4>>2]|0);break}case 5:case 4:{_I(c[a+8+4>>2]|0);break}case 6:{_I(c[a+8+4>>2]|0);break}case 7:{_I(c[a+40>>2]|0);break}case 9:case 8:{_I(c[a+8>>2]|0);break}case 14:case 13:{zt(a+8|0);break}case 10:{_I(c[a+16>>2]|0);break}case 11:{_I(c[a+8>>2]|0);break}case 12:{_I(c[a+40>>2]|0);break}default:{}}return}function zt(a){a=a|0;var b=0,d=0,e=0;switch(c[a>>2]|0){case 1:{e=a+40|0;b=a+8+36|0;a=0;while(1){d=c[b>>2]|0;if((a|0)>=(c[e>>2]|0))break;_I(c[d+(a<<3)+4>>2]|0);a=a+1|0}_I(d);break}case 2:{e=a+56|0;d=a+60|0;a=0;while(1){b=c[d>>2]|0;if((a|0)>=(c[e>>2]|0))break;_I(c[b+(a<<3)+4>>2]|0);a=a+1|0}_I(b);break}default:{}}return}function At(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;k=o+4|0;n=o;c[d>>2]=0;c[e>>2]=(qn(ro(b)|0)|0)!=0&1;f=c[42228]|0;a:do if(f|0?(h=Jm(b,f)|0,i=a[h>>0]|0,i<<24>>24):0){f=19444;while(1){g=c[f>>2]|0;if(!g)break a;if(i<<24>>24==(a[g>>0]|0)?(xJ(h,g)|0)==0:0)break;f=f+12|0}c[d>>2]=c[f+4>>2];c[e>>2]=c[f+8>>2]}while(0);f=c[42239]|0;if((f|0?(c[e>>2]|0)==1:0)?(j=Jm(b,f)|0,a[j>>0]|0):0)Bt(j,e);f=c[42240]|0;if((f|0?(c[d>>2]|0)==1:0)?(m=Jm(b,f)|0,a[m>>0]|0):0)Bt(m,d);if(a[(c[b+16>>2]|0)+153>>0]|0){j=b+-48|0;i=ro(c[((c[b>>2]&3|0)==2?b:j)+40>>2]|0)|0;m=c[b>>2]&3;At(an(i,c[((m|0)==2?b:j)+40>>2]|0,c[((m|0)==3?b:b+48|0)+40>>2]|0,0,0)|0,k,n);c[e>>2]=c[k>>2]|c[e>>2];c[d>>2]=c[n>>2]|c[d>>2]}l=o;return}function Bt(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;m=o;k=o+4|0;j=0;e=0;a:while(1){c[d>>2]=e;g=(j|0)<4;h=(j|0)==3;i=(j|0)==0;while(1){if(!(g&(a[b>>0]|0)!=0))break a;c[k>>2]=0;f=Ct(b,k)|0;e=c[k>>2]|0;if(!e){n=5;break a}b=(e|0)==8;if(!(h&b)){if(!(i&b))break;if(a[f>>0]|0)break}c[k>>2]=0;b=f}e=c[d>>2]|e<<(j<<3);j=j+1|0;b=f}if((n|0)==5){c[m>>2]=b;_l(0,84713,m)|0}l=o;return}function Ct(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;f=l;l=l+16|0;e=f;c[e>>2]=0;d=Dt(a,19504,e)|0;if((d|0)==(a|0)){while(1){d=Dt(a,19520,e)|0;if((a|0)==(d|0))break;else a=d}d=Dt(a,19568,e)|0}a=c[e>>2]|0;if((a|0)!=0&(a&15|0)==0){a=a|1;c[e>>2]=a}c[b>>2]=c[b>>2]|a;l=f;return d|0}function Dt(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;while(1){e=c[b>>2]|0;if(!e)break;f=rJ(e)|0;if(!(VJ(a,e,f)|0)){g=4;break}b=b+8|0}if((g|0)==4){c[d>>2]=c[d>>2]|c[b+4>>2];a=a+f|0}return a|0}function Et(a,b){a=a|0;b=b|0;var d=0.0,e=0,f=0,g=0,i=0;g=0;d=0.0;while(1){if((g|0)==4)break;f=b>>(g<<3)&15;e=1336;while(1){if(!(c[e+16>>2]|0))break;if((f|0)==(c[e>>2]|0)){i=6;break}e=e+24|0}if((i|0)==6){i=0;d=+h[e+8>>3]+d}g=g+1|0}return +(d*10.0*+EA(a,c[42232]|0,1.0,0.0))}function Ft(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=+e;f=+f;g=g|0;var i=0.0,j=0.0,k=0.0,m=0,n=0.0,o=0,p=0;p=l;l=l+96|0;m=p+80|0;o=p;k=f>4.0?f*.0875:.35;i=+h[d+8>>3];n=i*k;j=+h[d>>3];k=j*k;e=+h[b>>3];j=e+j;h[m>>3]=j;f=+h[b+8>>3];i=i+f;h[m+8>>3]=i;d=o+64|0;if(!(g&32)){c[d>>2]=c[m>>2];c[d+4>>2]=c[m+4>>2];c[d+8>>2]=c[m+8>>2];c[d+12>>2]=c[m+12>>2];c[o>>2]=c[m>>2];c[o+4>>2]=c[m+4>>2];c[o+8>>2]=c[m+8>>2];c[o+12>>2]=c[m+12>>2];m=o+32|0;c[m>>2]=c[b>>2];c[m+4>>2]=c[b+4>>2];c[m+8>>2]=c[b+8>>2];c[m+12>>2]=c[b+12>>2];f=i;e=j}else{c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];c[o>>2]=c[b>>2];c[o+4>>2]=c[b+4>>2];c[o+8>>2]=c[b+8>>2];c[o+12>>2]=c[b+12>>2];b=o+32|0;c[b>>2]=c[m>>2];c[b+4>>2]=c[m+4>>2];c[b+8>>2]=c[m+8>>2];c[b+12>>2]=c[m+12>>2]}h[o+16>>3]=e+n;h[o+24>>3]=f-k;h[o+48>>3]=e-n;h[o+56>>3]=f+k;do if(!(g&64))if(!(g&128)){HD(a,o+16|0,3,g>>>4&1^1);break}else{HD(a,o+32|0,3,g>>>4&1^1);break}else HD(a,o,3,g>>>4&1^1);while(0);l=p;return}function Gt(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=+e;f=+f;g=g|0;var i=0.0,j=0.0,k=0.0,m=0.0,n=0,o=0.0,p=0.0,q=0.0,r=0.0,s=0.0,t=0.0,u=0.0,v=0.0,w=0,x=0,y=0;x=l;l=l+160|0;n=x+144|0;w=x;q=e*4.0;y=(g&32|0)==0;q=!(q<f)|y?.45:f/q*.45;s=!(f>1.0)|y?0.0:(f+-1.0)*.05/e;u=+h[d+8>>3];r=-u;v=q*r;t=+h[d>>3];q=t*q;r=s*r;s=t*s;p=+h[b>>3];e=p+t;h[n>>3]=e;o=+h[b+8>>3];f=u+o;h[n+8>>3]=f;t=t*.5+p;u=u*.5+o;d=w+128|0;if(y){c[d>>2]=c[n>>2];c[d+4>>2]=c[n+4>>2];c[d+8>>2]=c[n+8>>2];c[d+12>>2]=c[n+12>>2];c[w>>2]=c[n>>2];c[w+4>>2]=c[n+4>>2];c[w+8>>2]=c[n+8>>2];c[w+12>>2]=c[n+12>>2];y=w+64|0;c[y>>2]=c[b>>2];c[y+4>>2]=c[b+4>>2];c[y+8>>2]=c[b+8>>2];c[y+12>>2]=c[b+12>>2];i=o;j=p;k=o;m=p;f=o;e=p}else{c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];c[w>>2]=c[b>>2];c[w+4>>2]=c[b+4>>2];c[w+8>>2]=c[b+8>>2];c[w+12>>2]=c[b+12>>2];y=w+64|0;c[y>>2]=c[n>>2];c[y+4>>2]=c[n+4>>2];c[y+8>>2]=c[n+8>>2];c[y+12>>2]=c[n+12>>2];i=f+s;j=e+r;k=f-s;m=e-r}h[w+16>>3]=e-v;h[w+24>>3]=f-q;h[w+32>>3]=t-r;h[w+40>>3]=u-s;h[w+48>>3]=m;h[w+56>>3]=k;h[w+80>>3]=j;h[w+88>>3]=i;h[w+96>>3]=t+r;h[w+104>>3]=u+s;h[w+112>>3]=e+v;h[w+120>>3]=f+q;do if(!(g&64))if(!(g&128)){HD(a,w,9,1);break}else{HD(a,w+48|0,6,1);break}else HD(a,w,6,1);while(0);l=x;return}function Ht(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=+e;f=+f;g=g|0;var i=0.0,j=0.0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0.0,t=0.0;q=l;l=l+64|0;p=q;t=+h[d+8>>3];s=+h[d>>3];k=+h[b>>3];e=k+s;m=+h[b+8>>3];f=m+t;i=k+s*.2;j=m+t*.2;k=k+s*.6;m=m+t*.6;h[p>>3]=i-t;h[p+8>>3]=j+s;n=p+16|0;h[n>>3]=i+t;o=p+24|0;h[o>>3]=j-s;h[p+32>>3]=k+t;h[p+40>>3]=m-s;h[p+48>>3]=k-t;h[p+56>>3]=m+s;if(!(g&64)){if(g&128|0){d=2;g=1;r=3}}else{d=3;g=0;r=3}if((r|0)==3){h[p+(g<<4)>>3]=i;h[p+(g<<4)+8>>3]=j;h[p+(d<<4)>>3]=k;h[p+(d<<4)+8>>3]=m}HD(a,p,4,1);c[p>>2]=c[b>>2];c[p+4>>2]=c[b+4>>2];c[p+8>>2]=c[b+8>>2];c[p+12>>2]=c[b+12>>2];h[n>>3]=e;h[o>>3]=f;KD(a,p,2);l=q;return}function It(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=+e;f=+f;g=g|0;var i=0.0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0.0,r=0.0,s=0.0,t=0.0;o=l;l=l+64|0;n=o;j=+h[d+8>>3];r=j*-.4;i=+h[d>>3];q=i*.4;t=+h[b>>3];e=t+i*.8;s=+h[b+8>>3];f=s+j*.8;i=t+i;j=s+j;h[n>>3]=t+r;k=n+8|0;h[k>>3]=s+q;d=n+16|0;h[d>>3]=t-r;m=n+24|0;h[m>>3]=s-q;h[n+32>>3]=e-r;h[n+40>>3]=f-q;h[n+48>>3]=e+r;h[n+56>>3]=f+q;if(!(g&64)){if(g&128|0){c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];d=2;p=5}}else{c[n>>2]=c[b>>2];c[n+4>>2]=c[b+4>>2];c[n+8>>2]=c[b+8>>2];c[n+12>>2]=c[b+12>>2];d=3;p=5}if((p|0)==5){h[n+(d<<4)>>3]=e;h[n+(d<<4)+8>>3]=f}HD(a,n,4,g>>>4&1^1);h[n>>3]=e;h[k>>3]=f;h[n+16>>3]=i;h[m>>3]=j;KD(a,n,2);l=o;return}function Jt(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=+e;f=+f;g=g|0;var i=0,j=0,k=0.0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0;j=l;l=l+80|0;i=j;n=+h[d+8>>3];k=n*-.3333333333333333;p=+h[d>>3];f=p*.3333333333333333;q=+h[b>>3];m=q+p*.5;o=+h[b+8>>3];e=o+n*.5;d=i+64|0;h[i+64>>3]=q+p;h[i+72>>3]=o+n;c[i>>2]=c[d>>2];c[i+4>>2]=c[d+4>>2];c[i+8>>2]=c[d+8>>2];c[i+12>>2]=c[d+12>>2];h[i+16>>3]=m+k;h[i+24>>3]=e+f;d=i+32|0;c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];h[i+48>>3]=m-k;h[i+56>>3]=e-f;do if(!(g&64)){d=g>>>4&1^1;if(!(g&128)){HD(a,i,4,d);break}else{HD(a,i,3,d);break}}else HD(a,d,3,g>>>4&1^1);while(0);l=j;return}function Kt(a,b,c,d,e,f){a=a|0;b=b|0;c=c|0;d=+d;e=+e;f=f|0;var g=0,i=0,j=0.0,k=0.0,m=0.0;g=l;l=l+32|0;i=g;k=+h[c>>3];e=+h[c+8>>3];d=+C(+(e*e+k*k))*.5;m=+h[b>>3];k=k*.5;h[i>>3]=m+k-d;j=+h[b+8>>3];e=e*.5;h[i+8>>3]=j-d+e;h[i+16>>3]=m+d+k;h[i+24>>3]=j+d+e;GD(a,i,2,f>>>4&1^1);l=g;return}function Lt(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=+e;f=+f;g=g|0;var i=0.0,j=0.0,k=0.0,m=0.0,n=0.0,o=0.0,p=0.0,q=0,r=0,s=0,t=0;t=l;l=l+112|0;q=t+48|0;r=t+16|0;s=t;n=f>4.0?f*.125:.5;p=+h[b>>3];o=+h[d>>3];i=+h[b+8>>3];m=+h[d+8>>3];e=m*n;f=o*n;c[r>>2]=c[b>>2];c[r+4>>2]=c[b+4>>2];c[r+8>>2]=c[b+8>>2];c[r+12>>2]=c[b+12>>2];h[r+16>>3]=o+p;h[r+24>>3]=m+i;h[q>>3]=n*(o-m)+p;j=n*(m+o);k=j+i;h[q+8>>3]=k;h[q+48>>3]=j+p;i=n*(m-o)+i;h[q+56>>3]=i;o=e*-.95;m=o+f+p;n=f*1.3333333333333333;if(!(g&32)){e=e*1.3333333333333333;j=f*-.33333333333333326;i=i-e;f=k-e;e=m-n}else{e=e*1.3333333333333333;j=f*2.333333333333333;i=i+e;f=k+e;e=m+n}h[q+16>>3]=e;h[q+24>>3]=f;h[q+32>>3]=j-o+p;h[q+40>>3]=i;KD(a,r,2);if(!(g&64)){if(g&128|0)PA(s,q,3,.5,q,0)}else PA(s,q,3,.5,0,q);JD(a,q,4,0,0,0);l=t;return}function Mt(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=+e;f=+f;g=g|0;var i=0;g=l;l=l+32|0;i=g;e=+h[d>>3]+ +h[b>>3];f=+h[d+8>>3]+ +h[b+8>>3];c[i>>2]=c[b>>2];c[i+4>>2]=c[b+4>>2];c[i+8>>2]=c[b+8>>2];c[i+12>>2]=c[b+12>>2];h[i+16>>3]=e;h[i+24>>3]=f;KD(a,i,2);l=g;return}function Nt(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0.0,j=0,k=0,m=0,n=0,o=0.0,p=0.0,q=0,r=0,s=0;n=l;l=l+80|0;j=n+72|0;k=n+8|0;m=n;i=+Et(a,g);i=i*i;h[m>>3]=i;c[f+12>>2]=g;g=f+32|0;a=e+3|0;f=b+(a<<4)|0;c[g>>2]=c[f>>2];c[g+4>>2]=c[f+4>>2];c[g+8>>2]=c[f+8>>2];c[g+12>>2]=c[f+12>>2];if((e|0)>(d|0)?(o=+h[b+(e<<4)>>3]-+h[f>>3],p=+h[b+(e<<4)+8>>3]-+h[b+(a<<4)+8>>3],p*p+o*o<i):0)e=e+-3|0;s=k+48|0;r=b+(e<<4)|0;c[s>>2]=c[r>>2];c[s+4>>2]=c[r+4>>2];c[s+8>>2]=c[r+8>>2];c[s+12>>2]=c[r+12>>2];q=k+32|0;a=b+(e+1<<4)|0;c[q>>2]=c[a>>2];c[q+4>>2]=c[a+4>>2];c[q+8>>2]=c[a+8>>2];c[q+12>>2]=c[a+12>>2];f=k+16|0;d=b+(e+2<<4)|0;c[f>>2]=c[d>>2];c[f+4>>2]=c[d+4>>2];c[f+8>>2]=c[d+8>>2];c[f+12>>2]=c[d+12>>2];c[k>>2]=c[g>>2];c[k+4>>2]=c[g+4>>2];c[k+8>>2]=c[g+8>>2];c[k+12>>2]=c[g+12>>2];c[j>>2]=k;c[j+4>>2]=m;Fz(j,26,k,1);c[r>>2]=c[s>>2];c[r+4>>2]=c[s+4>>2];c[r+8>>2]=c[s+8>>2];c[r+12>>2]=c[s+12>>2];c[a>>2]=c[q>>2];c[a+4>>2]=c[q+4>>2];c[a+8>>2]=c[q+8>>2];c[a+12>>2]=c[q+12>>2];c[d>>2]=c[f>>2];c[d+4>>2]=c[f+4>>2];c[d+8>>2]=c[f+8>>2];c[d+12>>2]=c[f+12>>2];m=b+(e+3<<4)|0;c[m>>2]=c[k>>2];c[m+4>>2]=c[k+4>>2];c[m+8>>2]=c[k+8>>2];c[m+12>>2]=c[k+12>>2];l=n;return e|0}function Ot(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0;f=c[a>>2]|0;d=+h[b>>3]-+h[f>>3];e=+h[b+8>>3]-+h[f+8>>3];return e*e+d*d<=+h[c[a+4>>2]>>3]|0}function Pt(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0.0,k=0,m=0,n=0,o=0,p=0.0,q=0.0,r=0,s=0;o=l;l=l+80|0;k=o+72|0;m=o+8|0;n=o;j=+Et(a,g);j=j*j;h[n>>3]=j;c[f+8>>2]=g;f=f+16|0;a=b+(d<<4)|0;c[f>>2]=c[a>>2];c[f+4>>2]=c[a+4>>2];c[f+8>>2]=c[a+8>>2];c[f+12>>2]=c[a+12>>2];if(!((e|0)>(d|0)?(i=d+3|0,p=+h[a>>3]-+h[b+(i<<4)>>3],q=+h[b+(d<<4)+8>>3]-+h[b+(i<<4)+8>>3],q*q+p*p<j):0))i=d;e=b+(i+3<<4)|0;c[m>>2]=c[e>>2];c[m+4>>2]=c[e+4>>2];c[m+8>>2]=c[e+8>>2];c[m+12>>2]=c[e+12>>2];g=m+16|0;d=b+(i+2<<4)|0;c[g>>2]=c[d>>2];c[g+4>>2]=c[d+4>>2];c[g+8>>2]=c[d+8>>2];c[g+12>>2]=c[d+12>>2];r=m+32|0;a=b+(i+1<<4)|0;c[r>>2]=c[a>>2];c[r+4>>2]=c[a+4>>2];c[r+8>>2]=c[a+8>>2];c[r+12>>2]=c[a+12>>2];s=m+48|0;c[s>>2]=c[f>>2];c[s+4>>2]=c[f+4>>2];c[s+8>>2]=c[f+8>>2];c[s+12>>2]=c[f+12>>2];c[k>>2]=s;c[k+4>>2]=n;Fz(k,26,m,0);n=b+(i<<4)|0;c[n>>2]=c[s>>2];c[n+4>>2]=c[s+4>>2];c[n+8>>2]=c[s+8>>2];c[n+12>>2]=c[s+12>>2];c[a>>2]=c[r>>2];c[a+4>>2]=c[r+4>>2];c[a+8>>2]=c[r+8>>2];c[a+12>>2]=c[r+12>>2];c[d>>2]=c[g>>2];c[d+4>>2]=c[g+4>>2];c[d+8>>2]=c[g+8>>2];c[d+12>>2]=c[g+12>>2];c[e>>2]=c[m>>2];c[e+4>>2]=c[m+4>>2];c[e+8>>2]=c[m+8>>2];c[e+12>>2]=c[m+12>>2];l=o;return i|0}function Qt(a,b,d,e,f,g,i){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0.0,k=0.0,l=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0.0,t=0.0,u=0,v=0,w=0;u=(g|0)!=0;l=(i|0)!=0;if(!((e|0)==(d|0)&(u&l))){if(l){j=+Et(a,i);k=+h[b+(e<<4)>>3];p=+h[b+(e<<4)+8>>3];l=e+3|0;r=b+(l<<4)|0;n=+h[r>>3];l=b+(l<<4)+8|0;o=+h[l>>3];t=k-n;s=p-o;t=+C(+(s*s+t*t))*.9;j=j>=t?t:j;if(p==o){m=(k<n?-j:j)+n;j=p}else{m=k;j=(p<o?-j:j)+o}w=e+1|0;h[b+(w<<4)>>3]=k;h[b+(w<<4)+8>>3]=p;e=b+(e+2<<4)|0;h[r>>3]=m;h[l>>3]=j;c[e>>2]=c[r>>2];c[e+4>>2]=c[r+4>>2];c[e+8>>2]=c[r+8>>2];c[e+12>>2]=c[r+12>>2];c[f+12>>2]=i;h[f+32>>3]=n;h[f+40>>3]=o}if(u){m=+Et(a,g);l=b+(d<<4)|0;k=+h[l>>3];j=+h[b+(d<<4)+8>>3];w=d+3|0;o=+h[b+(w<<4)>>3];p=+h[b+(w<<4)+8>>3];t=k-o;s=j-p;t=+C(+(s*s+t*t))*.9;m=m>=t?t:m;if(j==p){n=(k<o?m:-m)+k;m=j}else{n=k;m=(j<p?m:-m)+j}w=d+1|0;v=b+(w<<4)|0;h[v>>3]=n;h[b+(w<<4)+8>>3]=m;c[l>>2]=c[v>>2];c[l+4>>2]=c[v+4>>2];c[l+8>>2]=c[v+8>>2];c[l+12>>2]=c[v+12>>2];v=d+2|0;h[b+(v<<4)>>3]=o;h[b+(v<<4)+8>>3]=p;v=16}}else{r=b+(e<<4)|0;s=+h[r>>3];t=+h[b+(e<<4)+8>>3];l=e+3|0;u=b+(l<<4)|0;k=+h[u>>3];l=b+(l<<4)+8|0;j=+h[l>>3];m=+Et(a,g);q=+Et(a,i);n=s-k;p=t-j;n=+C(+(p*p+n*n));w=!(q+m>=n);n=n*.3333333333333333;m=w?m:n;n=w?q:n;if(t==j){w=s<k;p=(w?-n:n)+k;q=(w?m:-m)+s;o=t;m=t}else{w=t<j;p=s;q=s;o=(w?m:-m)+t;m=(w?-n:n)+j}w=e+1|0;v=b+(w<<4)|0;h[v>>3]=q;h[b+(w<<4)+8>>3]=o;c[r>>2]=c[v>>2];c[r+4>>2]=c[v+4>>2];c[r+8>>2]=c[v+8>>2];c[r+12>>2]=c[v+12>>2];v=b+(e+2<<4)|0;h[u>>3]=p;h[l>>3]=m;c[v>>2]=c[u>>2];c[v+4>>2]=c[u+4>>2];c[v+8>>2]=c[u+8>>2];c[v+12>>2]=c[u+12>>2];c[f+12>>2]=i;h[f+32>>3]=s;h[f+40>>3]=t;v=16}if((v|0)==16){c[f+8>>2]=g;h[f+16>>3]=k;h[f+24>>3]=j}return}function Rt(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=+d;e=e|0;var f=0.0,g=0.0,i=0.0,j=0.0,k=0.0,l=0.0,m=0.0,n=0.0,o=0.0;n=+h[b>>3];k=+h[c>>3]-n;o=+h[b+8>>3];l=+h[c+8>>3]-o;j=d*10.0/(+C(+(k*k+l*l))+.0001);k=j*((k>=0.0?.0001:-.0001)+k);j=((l>=0.0?.0001:-.0001)+l)*j;l=k*.5;m=j*.5;i=n-m;f=o-l;n=m+n;l=o+l;o=i+k;m=f+j;k=n+k;j=l+j;g=o>k?o:k;g=n>g?n:g;d=m>j?m:j;d=l>d?l:d;k=o<k?o:k;k=n<k?n:k;j=m<j?m:j;j=l<j?l:j;h[a>>3]=i<k?i:k;h[a+8>>3]=f<j?f:j;h[a+16>>3]=i>g?i:g;h[a+24>>3]=f>d?f:d;return}function St(a,b,d,e,f,g,i){a=a|0;b=b|0;d=d|0;e=e|0;f=+f;g=+g;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0,s=0.0,t=0.0;q=l;l=l+48|0;m=q+32|0;k=q+16|0;p=q;n=(c[a+16>>2]|0)+12|0;o=c[n>>2]|0;c[n>>2]=b;FD(a,c[(c[a>>2]|0)+336>>2]|0);OD(a,g);t=+h[e>>3]-+h[d>>3];b=e+8|0;s=+h[b>>3]-+h[d+8>>3];r=10.0/(+C(+(t*t+s*s))+.0001);h[e>>3]=r*((t>=0.0?.0001:-.0001)+t);h[b>>3]=((s>=0.0?.0001:-.0001)+s)*r;b=0;while(1){if((b|0)>=4)break;j=i>>(b<<3)&255;if(!j)break;c[k>>2]=c[d>>2];c[k+4>>2]=c[d+4>>2];c[k+8>>2]=c[d+8>>2];c[k+12>>2]=c[d+12>>2];c[m>>2]=c[e>>2];c[m+4>>2]=c[e+4>>2];c[m+8>>2]=c[e+8>>2];c[m+12>>2]=c[e+12>>2];Tt(p,a,k,m,f,g,j);c[d>>2]=c[p>>2];c[d+4>>2]=c[p+4>>2];c[d+8>>2]=c[p+8>>2];c[d+12>>2]=c[p+12>>2];b=b+1|0}c[n>>2]=o;l=q;return}function Tt(a,b,d,e,f,g,i){a=a|0;b=b|0;d=d|0;e=e|0;f=+f;g=+g;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0;q=l;l=l+32|0;m=q+16|0;k=q;n=i&15;j=1336;while(1){o=c[j>>2]|0;if(!o)break;if((n|0)==(o|0)){p=4;break}j=j+24|0}if((p|0)==4){r=+h[j+8>>3]*f;h[e>>3]=r*+h[e>>3];o=e+8|0;h[o>>3]=r*+h[o>>3];p=c[j+16>>2]|0;c[k>>2]=c[d>>2];c[k+4>>2]=c[d+4>>2];c[k+8>>2]=c[d+8>>2];c[k+12>>2]=c[d+12>>2];c[m>>2]=c[e>>2];c[m+4>>2]=c[e+4>>2];c[m+8>>2]=c[e+8>>2];c[m+12>>2]=c[e+12>>2];jb[p&15](b,k,m,f,g,i);h[d>>3]=+h[e>>3]+ +h[d>>3];p=d+8|0;h[p>>3]=+h[o>>3]+ +h[p>>3]};c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];l=q;return}function Ut(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;g=i+8|0;f=i;d=Im(b,84815)|0;if((d|0)!=0?(a[d>>0]|0)!=0:0){e=d;h=5}else{d=Im(b,84827)|0;if((d|0)!=0?(a[d>>0]|0)!=0:0){e=d;h=5}else d=0}if((h|0)==5){d=vt(e,0,120)|0;if(!d){c[f>>2]=Dn(b)|0;_l(0,84834,f)|0;c[g>>2]=e;_l(3,84887,g)|0}}l=i;return d|0}function Vt(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;g=l;l=l+16|0;f=vw(304)|0;if(!f)_l(1,84895,g)|0;e=a+16|0;a=c[e>>2]|0;c[f>>2]=a;c[e>>2]=f;if(!a){c[f+144>>2]=3;c[f+148>>2]=0;h[f+152>>3]=1.0}else{b=f+16|0;d=a+16|0;e=b+40|0;do{c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}while((b|0)<(e|0));b=f+56|0;d=a+56|0;e=b+40|0;do{c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}while((b|0)<(e|0));c[f+144>>2]=c[a+144>>2];c[f+148>>2]=c[a+148>>2];h[f+152>>3]=+h[a+152>>3];c[f+136>>2]=c[a+136>>2];b=f+96|0;d=a+96|0;e=b+40|0;do{c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}while((b|0)<(e|0))}l=g;return f|0}function Wt(a){a=a|0;var b=0;a=a+16|0;b=c[a>>2]|0;if(!b)ma(84921,84925,117,84932);else{_I(c[b+212>>2]|0);_I(c[b+208>>2]|0);_I(c[b+216>>2]|0);_I(c[b+220>>2]|0);_I(c[b+224>>2]|0);_I(c[b+228>>2]|0);_I(c[b+232>>2]|0);_I(c[b+236>>2]|0);_I(c[b+240>>2]|0);_I(c[b+244>>2]|0);_I(c[b+248>>2]|0);_I(c[b+252>>2]|0);_I(c[b+256>>2]|0);_I(c[b+272>>2]|0);_I(c[b+284>>2]|0);_I(c[b+280>>2]|0);c[a>>2]=c[b>>2];_I(b);return}}function Xt(d,e,f,g,h,i,j){d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;i=i|0;j=j|0;var k=0,l=0;l=c[d+16>>2]|0;k=c[d+152>>2]|0;if((e|0)!=0&(k&32768|0)!=0)c[l+192>>2]=e;if(((k&65536|0)!=0?(c[l+212>>2]=qw(i,j)|0,(f|0)!=0):0)?(a[f>>0]|0)!=0:0){c[l+208>>2]=qw(f,j)|0;d=1}else d=0;do if(k&4194304){if(g|0?a[g>>0]|0:0){c[l+228>>2]=qw(g,j)|0;d=l+260|0;b[d>>1]=b[d>>1]|1;d=1;break}e=c[l+192>>2]|0;if(e){c[l+228>>2]=GL(e)|0;d=1}}while(0);if((h|0)!=0&(k&8388608|0)!=0?(a[h>>0]|0)!=0:0){c[l+244>>2]=qw(h,j)|0;d=1}return d|0}function Yt(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;j=l;l=l+80|0;i=j;h=j+8|0;g=c[(c[b>>2]|0)+168>>2]|0;f=c[(c[(c[g+16>>2]|0)+8>>2]|0)+92>>2]|0;Zt(b,e);b=Im(d,86799)|0;if((b|0)!=0?(a[b>>0]|0)!=0:0){fm(e,b)|0;f=e+4|0;b=c[f>>2]|0;if(b>>>0>=(c[e+8>>2]|0)>>>0){dm(e,1)|0;b=c[f>>2]|0}a[b>>0]=0;b=c[e>>2]|0;c[f>>2]=b}else{if((g|0)!=(d|0)&(f|0)!=0){fm(e,f)|0;f=e+4|0;b=c[f>>2]|0;if(b>>>0>=(c[e+8>>2]|0)>>>0){dm(e,1)|0;b=c[f>>2]|0}c[f>>2]=b+1;a[b>>0]=95}switch(Co(d)|0){case 0:{f=(g|0)==(d|0)?96286:84946;b=(c[d>>2]|0)>>>4;break}case 1:{f=96273;b=(c[d>>2]|0)>>>4;break}case 2:{f=96237;b=(c[d>>2]|0)>>>4;break}default:{f=0;b=0}}fm(e,f)|0;c[i>>2]=b;pL(h,84952,i)|0;fm(e,h)|0;f=e+4|0;b=c[f>>2]|0;if(b>>>0>=(c[e+8>>2]|0)>>>0){dm(e,1)|0;b=c[f>>2]|0}a[b>>0]=0;b=c[e>>2]|0;c[f>>2]=b}l=j;return b|0}function Zt(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;i=l;l=l+144|0;h=i;g=i+8|0;e=c[b+160>>2]|0;if((e|0)>1?c[b+152>>2]&64|0:0){fm(d,c[(c[(c[b>>2]|0)+308>>2]|0)+(e<<2)>>2]|0)|0;f=d+4|0;e=c[f>>2]|0;if(e>>>0>=(c[d+8>>2]|0)>>>0){dm(d,1)|0;e=c[f>>2]|0}c[f>>2]=e+1;a[e>>0]=95}f=c[b+196>>2]|0;e=c[b+200>>2]|0;if((f|0)>0|(e|0)>0){c[h>>2]=f;c[h+4>>2]=e;pL(g,84956,h)|0;fm(d,g)|0}l=i;return}function _t(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0,i=0.0,j=0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0.0,s=0;s=l;l=l+48|0;p=s+16|0;f=s+32|0;q=s;r=+h[(c[a+16>>2]|0)+152>>3];o=$t(d,0,f)|0;if((o+-1|0)>>>0>=2){e=+h[b+16>>3];k=(e+ +h[b>>3])*.5;h[q>>3]=k;i=+h[b+24>>3];m=(i+ +h[b+8>>3])*.5;h[q+8>>3]=m;k=e-k;m=i-m;n=r>.5;if(n)OD(a,.5);j=c[f>>2]|0;i=0.0;f=c[j+8>>2]|0;while(1){d=c[f>>2]|0;if(!d)break;b=f+4|0;if(+g[b>>2]==0.0)e=i;else{DD(a,d);if(!(c[f+12>>2]|0))e=6.283185307179586;else e=+g[b>>2]*6.283185307179586+i;c[p>>2]=c[q>>2];c[p+4>>2]=c[q+4>>2];c[p+8>>2]=c[q+8>>2];c[p+12>>2]=c[q+12>>2];b=_E(p,k,m,i,e)|0;JD(a,c[b>>2]|0,c[b+4>>2]|0,0,0,1);XI(b)}i=e;f=f+12|0}if(n)OD(a,r);au(j)}l=s;return o|0}function $t(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,h=0,i=0,j=0.0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0;r=l;l=l+16|0;o=r+8|0;n=r;q=vw(12)|0;i=GL(b)|0;a:do if(!d){d=1;f=i;while(1){switch(a[f>>0]|0){case 0:break a;case 58:{d=d+1|0;break}default:{}}f=f+1|0}}while(0);c[q+4>>2]=i;p=vw((d*12|0)+12|0)|0;c[q+8>>2]=p;m=1.0;h=0;d=0;f=i;while(1){f=DL(f,93017)|0;if(!f){f=20;break}j=+bu(f);if(!(j>=0.0)){f=17;break}k=j-m;if(k>0.0)if((c[4920]|0)!=0?!(k<1.0e-05&k>-1.0e-05):0){c[n>>2]=b;_l(0,84967,n)|0;c[4920]=0;j=m;d=3}else j=m;k=m-j;if(j>0.0)a[p+(h*12|0)+8>>0]=1;if(a[f>>0]|0)c[p+(h*12|0)>>2]=f;f=h+1|0;g[p+(h*12|0)+4>>2]=j;if(k<1.0e-05&k>-1.0e-05){h=f;f=30;break}else{m=k;h=f;f=0}}b:do if((f|0)==17){if(!(c[4920]|0))d=1;else{c[o>>2]=b;_l(1,85002,o)|0;c[4920]=0;d=2}au(q)}else if((f|0)==20)if(m>0.0){f=0;i=0;while(1){if((f|0)>=(h|0))break;o=i+(+g[p+(f*12|0)+4>>2]==0.0&1)|0;f=f+1|0;i=o}if((i|0)<=0){f=p+((h+-1|0)*12|0)+4|0;g[f>>2]=m+ +g[f>>2];f=30;break}j=m/+(i|0);f=0;while(1){if((f|0)>=(h|0)){f=30;break b}i=p+(f*12|0)+4|0;if(+g[i>>2]==0.0)g[i>>2]=j;f=f+1|0}}else f=30;while(0);if((f|0)==30){while(1){f=h+-1|0;if((h|0)<=0)break;if(+g[p+(f*12|0)+4>>2]>0.0)break;else h=f}c[p+(h*12|0)>>2]=0;c[q>>2]=h;c[e>>2]=q}l=r;return d|0}function au(a){a=a|0;_I(c[a+4>>2]|0);_I(c[a+8>>2]|0);_I(a);return}function bu(b){b=b|0;var d=0.0,e=0,f=0,g=0;f=l;l=l+16|0;e=f;b=WJ(b,59)|0;if(!b)d=0.0;else{g=b+1|0;a[b>>0]=0;d=+tM(g,e);d=(d>=0.0?(c[e>>2]|0)!=(g|0):0)?d:-1.0}l=f;return +d}function cu(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,i=0,j=0,k=0,m=0.0,n=0.0,o=0,p=0,q=0,r=0,s=0.0,t=0;t=l;l=l+80|0;i=t+64|0;r=t;s=+h[(c[a+16>>2]|0)+152>>3];q=$t(d,0,i)|0;if((q+-1|0)>>>0>=2){if(!e){c[r>>2]=c[b>>2];c[r+4>>2]=c[b+4>>2];c[r+8>>2]=c[b+8>>2];c[r+12>>2]=c[b+12>>2];p=r+16|0;o=b+16|0;c[p>>2]=c[o>>2];c[p+4>>2]=c[o+4>>2];c[p+8>>2]=c[o+8>>2];c[p+12>>2]=c[o+12>>2];p=r+32|0;o=b+32|0;c[p>>2]=c[o>>2];c[p+4>>2]=c[o+4>>2];c[p+8>>2]=c[o+8>>2];c[p+12>>2]=c[o+12>>2];p=r+48|0;o=b+48|0;c[p>>2]=c[o>>2];c[p+4>>2]=c[o+4>>2];c[p+8>>2]=c[o+8>>2];c[p+12>>2]=c[o+12>>2]}else{p=b+32|0;c[r>>2]=c[p>>2];c[r+4>>2]=c[p+4>>2];c[r+8>>2]=c[p+8>>2];c[r+12>>2]=c[p+12>>2];p=r+16|0;o=b+48|0;c[p>>2]=c[o>>2];c[p+4>>2]=c[o+4>>2];c[p+8>>2]=c[o+8>>2];c[p+12>>2]=c[o+12>>2];p=r+32|0;c[p>>2]=c[b>>2];c[p+4>>2]=c[b+4>>2];c[p+8>>2]=c[b+8>>2];c[p+12>>2]=c[b+12>>2];p=r+48|0;o=b+16|0;c[p>>2]=c[o>>2];c[p+4>>2]=c[o+4>>2];c[p+8>>2]=c[o+8>>2];c[p+12>>2]=c[o+12>>2]}k=r+16|0;m=+h[k>>3];f=+h[r>>3];n=m-f;o=r+32|0;h[o>>3]=f;h[k>>3]=f;p=s>.5;if(p)OD(a,.5);i=c[i>>2]|0;j=r+48|0;e=c[i+8>>2]|0;while(1){d=c[e>>2]|0;if(!d)break;b=e+4|0;if(!(+g[b>>2]==0.0)){DD(a,d);if(!(c[e+12>>2]|0))f=m;else f=n*+g[b>>2]+ +h[r>>3];h[o>>3]=f;h[k>>3]=f;HD(a,r,4,1);f=+h[k>>3];h[j>>3]=f;h[r>>3]=f}e=e+12|0}if(p)OD(a,s);au(i)}l=t;return q|0}function du(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;d=c[a+16>>2]|0;e=c[a+152>>2]|0;if(e&4259840|0){f=e&131072;g=f>>>16^2;c[d+264>>2]=g;h=d+268|0;c[h>>2]=g+2;g=d+272|0;_I(c[g>>2]|0);d=vw(c[h>>2]<<4)|0;c[g>>2]=d;c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];g=d+16|0;b=b+16|0;c[g>>2]=c[b>>2];c[g+4>>2]=c[b+4>>2];c[g+8>>2]=c[b+8>>2];c[g+12>>2]=c[b+12>>2];if(!(e&8192))fD(a,d,d,2)|0;if(!f)Zv(d)}return}function eu(a,b){a=a|0;b=b|0;var c=0,d=0.0,e=0,f=0,g=0,i=0.0,j=0.0,k=0.0,m=0.0,n=0.0,o=0,p=0,q=0;q=l;l=l+144|0;c=q+80|0;e=q+16|0;f=q;k=+h[b>>3];o=a+16|0;m=+h[o>>3];if(!(((((((((!(k>m)?(n=+h[a>>3],!(k<n)):0)?(d=+h[b+8>>3],i=+h[a+24>>3],!(d>i)):0)?(j=+h[a+8>>3],!(d<j)):0)?(k=+h[b+16>>3],!(k>m|k<n)):0)?(k=+h[b+24>>3],!(k>i|k<j)):0)?(k=+h[b+32>>3],!(k>m|k<n)):0)?(k=+h[b+40>>3],!(k>i|k<j)):0)?(k=+h[b+48>>3],!(k>m|k<n)):0)?(n=+h[b+56>>3],!(n>i|n<j)):0))p=11;a:do if((p|0)==11){if(!(fu(b)|0)){PA(f,b,3,.5,c,e);eu(a,c);eu(a,e);break}f=a+24|0;g=a+8|0;e=0;while(1){if((e|0)==4)break a;d=+h[b+(e<<4)>>3];if(!(d>+h[o>>3])){if(d<+h[a>>3]){c=a;p=16}}else{c=o;p=16}if((p|0)==16){p=0;h[c>>3]=d}d=+h[b+(e<<4)+8>>3];if(!(d>+h[f>>3])){if(d<+h[g>>3]){c=a;p=19}}else{c=o;p=19}if((p|0)==19){p=0;h[c+8>>3]=d}e=e+1|0}}while(0);l=q;return}function fu(a){a=a|0;var b=0,d=0,e=0,f=0,g=0.0,h=0,i=0;b=l;l=l+48|0;d=b+32|0;e=b+16|0;f=b;i=a+48|0;h=a+16|0;c[f>>2]=c[a>>2];c[f+4>>2]=c[a+4>>2];c[f+8>>2]=c[a+8>>2];c[f+12>>2]=c[a+12>>2];c[e>>2]=c[i>>2];c[e+4>>2]=c[i+4>>2];c[e+8>>2]=c[i+8>>2];c[e+12>>2]=c[i+12>>2];c[d>>2]=c[h>>2];c[d+4>>2]=c[h+4>>2];c[d+8>>2]=c[h+8>>2];c[d+12>>2]=c[h+12>>2];g=+cw(f,e,d);h=a+32|0;c[f>>2]=c[a>>2];c[f+4>>2]=c[a+4>>2];c[f+8>>2]=c[a+8>>2];c[f+12>>2]=c[a+12>>2];c[e>>2]=c[i>>2];c[e+4>>2]=c[i+4>>2];c[e+8>>2]=c[i+8>>2];c[e+12>>2]=c[i+12>>2];c[d>>2]=c[h>>2];c[d+4>>2]=c[h+4>>2];c[d+8>>2]=c[h+8>>2];c[d+12>>2]=c[h+12>>2];a=g<4.0&+cw(f,e,d)<4.0&1;l=b;return a|0}function gu(b,d){b=b|0;d=d|0;var e=0,f=0.0,g=0.0,i=0.0,j=0,k=0,m=0,n=0.0;m=l;l=l+16|0;k=m;j=c[b+152>>2]|0;n=+h[b+432>>3];i=+h[b+352>>3]*.013888888888888888;f=i*n;h[b+488>>3]=f;g=+h[b+440>>3];i=i*g;h[b+496>>3]=i;h[b+520>>3]=n*.013888888888888888;e=b+528|0;h[e>>3]=g*.013888888888888888;if(j&4096|c[42183]|0)h[e>>3]=g*-.013888888888888888;e=(c[b+360>>2]|0)==0;n=+((c[b+448>>2]|0)>>>0);g=+((c[b+452>>2]|0)>>>0);h[b+368>>3]=(e?n:g)/f;h[b+376>>3]=(e?g:n)/i;LD(b,FA(d,ym(d,0,86595,0)|0,174181)|0);c[b+160>>2]=0;hu(b,d);if(j&2|0)iu(b,d);e=co(d)|0;while(1){if(!e)break;a[(c[e+16>>2]|0)+116>>0]=0;e=eo(d,e)|0}ju(b,k);while(1){if(!((ku(b)|0)<<24>>24))break;if((lu(b)|0)>1)kD(b);mu(b);while(1){if(!((nu(b)|0)<<24>>24))break;ou(b,d);pu(b)}if((lu(b)|0)>1)lD(b);qu(b,k)}ru(b);l=m;return}function hu(a,b){a=a|0;b=b|0;var d=0;d=Vt(a)|0;c[d+4>>2]=0;c[d+8>>2]=b;c[d+12>>2]=0;qv(a,c[(c[b+16>>2]|0)+12>>2]|0,b);gD(a,b);return}function iu(b,c){b=b|0;c=c|0;var d=0,e=0,f=0,g=0;DD(b,119592);d=Im(c,85423)|0;if(d|0?a[d>>0]|0:0)DD(b,d);d=Im(c,86503)|0;if(d|0?a[d>>0]|0:0)BD(b,d);Cv(b,c);g=co(c)|0;while(1){if(!g)break;d=Im(g,122540)|0;if(d|0?a[d>>0]|0:0)BD(b,d);d=Im(g,122531)|0;if(d|0?a[d>>0]|0:0)DD(b,d);d=Im(g,86469)|0;do if(d|0?a[d>>0]|0:0){if(!(WJ(d,58)|0)){BD(b,d);break}e=GL(d)|0;d=e;while(1){d=DL(d,93017)|0;if(!d)break;if(!(a[d>>0]|0)){d=0;continue}BD(b,d);d=0}_I(e)}while(0);d=Im(g,86503)|0;if(d|0?a[d>>0]|0:0)BD(b,d);f=Pm(c,g)|0;while(1){if(!f)break;d=Im(f,122540)|0;do if(d|0?a[d>>0]|0:0){if(!(WJ(d,58)|0)){BD(b,d);break}e=GL(d)|0;d=e;while(1){d=DL(d,93017)|0;if(!d)break;if(!(a[d>>0]|0)){d=0;continue}BD(b,d);d=0}_I(e)}while(0);d=Im(f,86503)|0;if(d|0?a[d>>0]|0:0)BD(b,d);f=Rm(c,f)|0}g=eo(c,g)|0}return}function ju(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;e=i+8|0;g=i;h=c[a>>2]|0;d=c[h+312>>2]|0;f=a+156|0;c[f>>2]=d;h=c[h+316>>2]|0;if(!h)if((d|0)>1?(c[a+152>>2]&64|0)==0:0){c[e>>2]=c[a+52>>2];_l(0,85598,e)|0;c[f>>2]=1;e=1;d=0}else{e=1;d=0}else{d=h+4|0;if((c[h>>2]|0)>1?(c[a+152>>2]&64|0)==0:0){c[g>>2]=c[a+52>>2];_l(0,85598,g)|0;c[h+8>>2]=(c[f>>2]|0)+1}e=c[d>>2]|0;d=h+8|0}c[a+160>>2]=e;c[b>>2]=d;l=i;return}function ku(a){a=a|0;return (c[a+160>>2]|0)<=(c[a+156>>2]|0)|0}function lu(a){a=a|0;var b=0;b=c[(c[a>>2]|0)+316>>2]|0;return c[((b|0)==0?a+156|0:b)>>2]|0}function mu(a){a=a|0;var b=0,d=0;d=a+172|0;b=c[d+4>>2]|0;a=a+196|0;c[a>>2]=c[d>>2];c[a+4>>2]=b;return}function nu(a){a=a|0;var b=0,d=0;d=c[a+196>>2]|0;if(((d|0)>-1?(d|0)<(c[a+164>>2]|0):0)?(b=c[a+200>>2]|0,(b|0)>-1):0)a=(b|0)<(c[a+168>>2]|0)&1;else a=0;return a|0}function ou(d,e){d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;p=l;l=l+176|0;k=p;f=p+48|0;m=p+32|0;n=c[d+16>>2]|0;o=c[d+152>>2]|0;if((c[d+160>>2]|0)<=1?(c[d+196>>2]|0)<=0:0)h=0;else{cm(m,128,f);g=n+212|0;h=c[g>>2]|0;Zt(d,m);fm(m,h)|0;i=m+4|0;f=c[i>>2]|0;if(f>>>0>=(c[m+8>>2]|0)>>>0){dm(m,1)|0;f=c[i>>2]|0}a[f>>0]=0;f=c[m>>2]|0;c[i>>2]=f;c[g>>2]=f}ZE(Im(e,85048)|0);tu(d);iD(d);BD(d,122106);DD(d,119592);do if(o&4259840|0){if((c[n+208>>2]|0)==0?(b[n+260>>1]&1)==0:0)break;if(o&655360){i=o&131072;c[n+264>>2]=i>>>16^2;f=vw((i>>>12^32)+32|0)|0;g=d+288|0;c[f>>2]=c[g>>2];c[f+4>>2]=c[g+4>>2];c[f+8>>2]=c[g+8>>2];c[f+12>>2]=c[g+12>>2];g=f+16|0;q=d+304|0;c[g>>2]=c[q>>2];c[g+4>>2]=c[q+4>>2];c[g+8>>2]=c[q+8>>2];c[g+12>>2]=c[q+12>>2];if(!i){Zv(f);g=4}else g=2}else{f=0;g=0}if(!(o&8192))fD(d,f,f,g)|0;c[n+272>>2]=f;c[n+268>>2]=g}while(0);if(o&32768|0?(j=c[(c[e+16>>2]|0)+12>>2]|0,j|0):0)c[n+192>>2]=c[j>>2];g=(o&4|0)!=0;do if(!g){f=n+208|0;if((c[f>>2]|0)==0?(b[n+260>>1]&1)==0:0)break;q=d+256|0;c[k>>2]=c[q>>2];c[k+4>>2]=c[q+4>>2];c[k+8>>2]=c[q+8>>2];c[k+12>>2]=c[q+12>>2];c[k+16>>2]=c[q+16>>2];c[k+20>>2]=c[q+20>>2];c[k+24>>2]=c[q+24>>2];c[k+28>>2]=c[q+28>>2];du(d,k);wD(d,c[f>>2]|0,c[n+228>>2]|0,c[n+244>>2]|0,c[n+212>>2]|0)}while(0);uu(d,e);f=c[(c[e+16>>2]|0)+12>>2]|0;if(f|0)pw(d,4,f);do if(!g){if((c[n+208>>2]|0)==0?(b[n+260>>1]&1)==0:0)break;xD(d)}while(0);vu(d,e,o);jD(d);if(h|0){gm(m);c[n+212>>2]=h}l=p;return}function pu(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0;h=l;l=l+32|0;d=h+24|0;b=h+16|0;j=h+8|0;f=h;g=a+196|0;i=a+188|0;c[b>>2]=c[g>>2];c[b+4>>2]=c[g+4>>2];c[d>>2]=c[i>>2];c[d+4>>2]=c[i+4>>2];su(j,b,d);i=c[j+4>>2]|0;e=g;c[e>>2]=c[j>>2];c[e+4>>2]=i;if(!((nu(a)|0)<<24>>24)){e=a+180|0;if(!(c[a+184>>2]|0))c[a+200>>2]=c[a+176>>2];else c[g>>2]=c[a+172>>2];c[b>>2]=c[g>>2];c[b+4>>2]=c[g+4>>2];c[d>>2]=c[e>>2];c[d+4>>2]=c[e+4>>2];su(f,b,d);i=c[f+4>>2]|0;j=g;c[j>>2]=c[f>>2];c[j+4>>2]=i}l=h;return}function qu(a,b){a=a|0;b=b|0;var d=0;d=c[b>>2]|0;if(!d){d=a+160|0;c[d>>2]=(c[d>>2]|0)+1}else{c[a+160>>2]=c[d>>2];c[b>>2]=d+4}return}function ru(a){a=a|0;hD(a);Wt(a);return}function su(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=(c[d+4>>2]|0)+(c[b+4>>2]|0)|0;c[a>>2]=(c[d>>2]|0)+(c[b>>2]|0);c[a+4>>2]=e;return}function tu(a){a=a|0;var b=0.0,d=0.0,e=0.0,f=0,g=0.0,i=0,j=0,k=0,m=0,n=0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0.0;t=l;l=l+48|0;n=t+32|0;f=t+24|0;j=t+8|0;k=t+16|0;m=t;r=a+196|0;q=c[r>>2]|0;r=c[r+4>>2]|0;p=f;c[p>>2]=q;c[p+4>>2]=r;p=a+164|0;i=c[p>>2]|0;p=c[p+4>>2]|0;s=j;c[s>>2]=i;c[s+4>>2]=p;s=a+360|0;if(!(c[s>>2]|0)){k=q;j=r}else{c[n>>2]=c[f>>2];c[n+4>>2]=c[f+4>>2];Bv(k,n);r=k;k=c[r>>2]|0;r=c[r+4>>2]|0;p=f;c[p>>2]=k;c[p+4>>2]=r;c[n>>2]=c[j>>2];c[n+4>>2]=c[j+4>>2];Bv(m,n);p=m;i=c[p>>2]|0;p=c[p+4>>2]|0;c[j>>2]=i;c[j+4>>2]=p;j=r}d=+h[a+320>>3];g=d*+(k|0)-+h[a+240>>3];h[a+288>>3]=g;e=+h[a+328>>3];o=e*+(j|0)-+h[a+248>>3];h[a+296>>3]=o;h[a+304>>3]=d+g;h[a+312>>3]=e+o;f=a+472|0;if(!(c[(c[a+12>>2]|0)+28>>2]|0)){r=a+456|0;c[f>>2]=c[r>>2];c[f+4>>2]=c[r+4>>2];c[f+8>>2]=c[r+8>>2];c[f+12>>2]=c[r+12>>2]}else{q=a+456|0;c[f>>2]=c[((c[f>>2]|0)<(c[q>>2]|0)?f:q)>>2];r=a+476|0;c[r>>2]=c[((c[r>>2]|0)<(c[a+460>>2]|0)?f:q)+4>>2];r=a+480|0;c[r>>2]=c[((c[r>>2]|0)>(c[a+464>>2]|0)?f:q)+8>>2];r=a+484|0;c[r>>2]=c[((c[r>>2]|0)>(c[a+468>>2]|0)?f:q)+12>>2]}m=c[a+152>>2]|0;b=+h[a+336>>3];if(!(m&128)){b=(+(k|0)-+(i|0)*.5)*d+b;h[a+256>>3]=b;g=(+(j|0)-+(p|0)*.5)*e+ +h[a+344>>3];o=g;d=d+b;g=g+e}else{d=+h[a+368>>3]*.5;e=b-d;h[a+256>>3]=e;g=+h[a+344>>3];u=+h[a+376>>3]*.5;o=g-u;d=d+b;g=u+g;b=e}h[a+264>>3]=o;h[a+272>>3]=d;h[a+280>>3]=g;if(!(c[s>>2]|0)){e=+h[a+352>>3];h[a+504>>3]=+h[a+384>>3]/e-b;if(!(m&4096|c[42183])){d=+h[a+392>>3]/e;b=o}else{d=-g;b=+h[a+392>>3]/e}h[a+512>>3]=d-b}else{f=a+384|0;e=+h[a+352>>3];h[a+512>>3]=-g-+h[a+392>>3]/e;if(!(m&4096|c[42183]))d=+h[f>>3]/e;else{d=-d;b=+h[f>>3]/e}h[a+504>>3]=d-b}l=t;return}function uu(b,d){b=b|0;d=d|0;var e=0,f=0.0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;s=l;l=l+48|0;q=s;o=s+40|0;p=s+36|0;r=s+32|0;e=Im(d,85423)|0;if(!e){j=1;e=121990}else{i=(a[e>>0]|0)==0;j=i&1;e=i?121990:e}h=c[b+152>>2]|0;i=(a[e>>0]|0)==116;if(!(h&256))if(i){m=(xJ(e,122171)|0)==0;k=m?121990:e;m=m?1:j;n=8}else{k=e;m=j;n=8}else if(!(i?!(xJ(e,122171)|0):0)){k=e;m=j;n=8}if((n|0)==8?!((m|0)!=0&(h&33554432|0)!=0):0)if(!((xv(k,o,p)|0)<<24>>24)){DD(b,k);BD(b,122171);r=b+256|0;c[q>>2]=c[r>>2];c[q+4>>2]=c[r+4>>2];c[q+8>>2]=c[r+8>>2];c[q+12>>2]=c[r+12>>2];c[q+16>>2]=c[r+16>>2];c[q+20>>2]=c[r+20>>2];c[q+24>>2]=c[r+24>>2];c[q+28>>2]=c[r+28>>2];ID(b,q,1)}else{c[r>>2]=0;i=c[o>>2]|0;DD(b,i);BD(b,122171);wv(d,r)|0;e=c[o+4>>2]|0;h=DA(d,c[42187]|0,0,0)|0;f=+g[p>>2];if(!e)ED(b,122106,h,f);else ED(b,e,h,f);r=(c[r>>2]|0)>>>1&1|2;p=b+256|0;c[q>>2]=c[p>>2];c[q+4>>2]=c[p+4>>2];c[q+8>>2]=c[p+8>>2];c[q+12>>2]=c[p+12>>2];c[q+16>>2]=c[p+16>>2];c[q+20>>2]=c[p+20>>2];c[q+24>>2]=c[p+24>>2];c[q+28>>2]=c[p+28>>2];ID(b,q,r);_I(i)}e=c[(c[(c[d+16>>2]|0)+8>>2]|0)+88>>2]|0;if(e|0)zv(b,e);l=s;return}function vu(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;g=(c[a>>2]|0)+28|0;c[g>>2]=(c[g>>2]|0)+1;g=(d&4|0)!=0;if(!g)wu(a,b,d);a:do if(!(d&1)){if(d&16|0){qD(a);f=co(b)|0;while(1){if(!f)break;e=Pm(b,f)|0;while(1){if(!e)break;yu(a,e);e=Rm(b,e)|0}f=eo(b,f)|0}rD(a);oD(a);e=co(b)|0;while(1){if(!e)break;xu(a,e);e=eo(b,e)|0}pD(a);break}if(!(d&8)){f=co(b)|0;while(1){if(!f)break a;xu(a,f);e=Pm(b,f)|0;while(1){if(!e)break;xu(a,c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0);yu(a,e);e=Rm(b,e)|0}f=eo(b,f)|0}}oD(a);e=co(b)|0;while(1){if(!e)break;if((zu(b,e)|0)<<24>>24)xu(a,e);e=eo(b,e)|0}pD(a);qD(a);f=co(b)|0;while(1){if(!f)break;e=Pm(b,f)|0;while(1){if(!e)break;if((Au(b,e)|0)<<24>>24)yu(a,e);e=Rm(b,e)|0}f=eo(b,f)|0}rD(a)}else{oD(a);e=co(b)|0;while(1){if(!e)break;xu(a,e);e=eo(b,e)|0}pD(a);qD(a);f=co(b)|0;while(1){if(!f)break;e=Pm(b,f)|0;while(1){if(!e)break;yu(a,e);e=Rm(b,e)|0}f=eo(b,f)|0}rD(a)}while(0);if(g)wu(a,b,d);return}function wu(e,f,i){e=e|0;f=f|0;i=i|0;var j=0,k=0,m=0,n=0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0;P=l;l=l+128|0;w=P+72|0;N=P+64|0;H=P+112|0;I=P;J=P+104|0;K=f+16|0;L=(i&4|0)!=0;M=e+16|0;x=I+32|0;y=I+16|0;A=I+8|0;B=I+24|0;C=I+48|0;D=I+40|0;E=I+56|0;F=(i&8|0)==0;G=J+4|0;v=1;while(1){j=c[K>>2]|0;if((v|0)>(c[j+180>>2]|0))break;u=c[(c[j+184>>2]|0)+(v<<2)>>2]|0;if((uv(e,u)|0)<<24>>24){if(L)wu(e,u,i);vv(e,u);r=c[M>>2]|0;s=r+208|0;if(!(c[s>>2]|0))t=(b[r+260>>1]&1)!=0;else t=1;ZE(Im(u,85048)|0);if(!(L|t^1)){q=(c[u+16>>2]|0)+16|0;c[w>>2]=c[q>>2];c[w+4>>2]=c[q+4>>2];c[w+8>>2]=c[q+8>>2];c[w+12>>2]=c[q+12>>2];c[w+16>>2]=c[q+16>>2];c[w+20>>2]=c[q+20>>2];c[w+24>>2]=c[q+24>>2];c[w+28>>2]=c[q+28>>2];du(e,w);wD(e,c[s>>2]|0,c[r+228>>2]|0,c[r+244>>2]|0,c[r+212>>2]|0)}c[H>>2]=0;j=wv(u,H)|0;if(!j)p=0;else{FD(e,j);p=c[H>>2]&1}q=u+16|0;j=d[(c[q>>2]|0)+112>>0]|0;do if(!(j&1)){if(j&2|0){j=GA(u,0,91300)|0;k=GA(u,0,91308)|0;O=29;break}if(j&8|0){j=GA(u,0,91316)|0;k=GA(u,0,91324)|0;O=29;break}if(j&4|0){j=GA(u,0,91332)|0;k=GA(u,0,91340)|0;O=29;break}j=Im(u,122540)|0;if(!j)k=0;else k=(a[j>>0]|0)==0?0:j;j=Im(u,122531)|0;if(!j)j=k;else j=(a[j>>0]|0)==0?k:j;m=Im(u,86469)|0;if(m)k=(a[m>>0]|0)==0?k:m;if(!((p|0)!=0&(k|0)!=0)){m=Im(u,85423)|0;if(m|0?a[m>>0]|0:0){k=m;O=29;break}j=(j|0)==0?122106:j;n=(k|0)==0?119592:k;c[J>>2]=0;if(!p)k=0;else O=31}else O=29}else{j=GA(u,0,91284)|0;k=GA(u,0,91292)|0;O=29}while(0);if((O|0)==29){c[J>>2]=0;j=(j|0)==0?122106:j;n=(k|0)==0?119592:k;O=31}if((O|0)==31){O=0;if(!((xv(n,J,w)|0)<<24>>24)){DD(e,n);k=1}else{DD(e,c[J>>2]|0);k=c[G>>2]|0;m=DA(u,c[42187]|0,0,0)|0;o=+g[w>>2];if(!k)ED(e,122106,m,o);else ED(e,k,m,o);k=(c[H>>2]|0)>>>1&1|2}}m=c[42186]|0;if((m|0?(z=Jm(u,m)|0,z|0):0)?a[z>>0]|0:0)OD(e,+EA(u,c[42186]|0,1.0,0.0));p=c[H>>2]|0;do if(p&4){m=DA(u,c[42185]|0,1,0)|0;if(m|k|0){n=c[q>>2]|0;Q=n+16|0;c[I>>2]=c[Q>>2];c[I+4>>2]=c[Q+4>>2];c[I+8>>2]=c[Q+8>>2];c[I+12>>2]=c[Q+12>>2];n=n+32|0;c[x>>2]=c[n>>2];c[x+4>>2]=c[n+4>>2];c[x+8>>2]=c[n+8>>2];c[x+12>>2]=c[n+12>>2];h[y>>3]=+h[x>>3];h[B>>3]=+h[A>>3];h[C>>3]=+h[I>>3];h[E>>3]=+h[D>>3];if(!m)BD(e,122171);else BD(e,j);yy(e,I,4,p,k)}}else{if(!(p&64)){if(DA(u,c[42185]|0,1,0)|0){BD(e,j);Q=(c[q>>2]|0)+16|0;c[w>>2]=c[Q>>2];c[w+4>>2]=c[Q+4>>2];c[w+8>>2]=c[Q+8>>2];c[w+12>>2]=c[Q+12>>2];c[w+16>>2]=c[Q+16>>2];c[w+20>>2]=c[Q+20>>2];c[w+24>>2]=c[Q+24>>2];c[w+28>>2]=c[Q+28>>2];ID(e,w,k);break}if(!k)break;BD(e,122171);Q=(c[q>>2]|0)+16|0;c[w>>2]=c[Q>>2];c[w+4>>2]=c[Q+4>>2];c[w+8>>2]=c[Q+8>>2];c[w+12>>2]=c[Q+12>>2];c[w+16>>2]=c[Q+16>>2];c[w+20>>2]=c[Q+20>>2];c[w+24>>2]=c[Q+24>>2];c[w+28>>2]=c[Q+28>>2];ID(e,w,k);break}Q=c[q>>2]|0;p=Q+16|0;c[I>>2]=c[p>>2];c[I+4>>2]=c[p+4>>2];c[I+8>>2]=c[p+8>>2];c[I+12>>2]=c[p+12>>2];Q=Q+32|0;c[x>>2]=c[Q>>2];c[x+4>>2]=c[Q+4>>2];c[x+8>>2]=c[Q+8>>2];c[x+12>>2]=c[Q+12>>2];h[y>>3]=+h[x>>3];h[B>>3]=+h[A>>3];h[C>>3]=+h[I>>3];h[E>>3]=+h[D>>3];if(!(DA(u,c[42185]|0,1,0)|0))BD(e,122171);else BD(e,j);if((cu(e,I,n,0)|0)>1){c[N>>2]=Dn(u)|0;_l(3,85431,N)|0}Q=(c[q>>2]|0)+16|0;c[w>>2]=c[Q>>2];c[w+4>>2]=c[Q+4>>2];c[w+8>>2]=c[Q+8>>2];c[w+12>>2]=c[Q+12>>2];c[w+16>>2]=c[Q+16>>2];c[w+20>>2]=c[Q+20>>2];c[w+24>>2]=c[Q+24>>2];c[w+28>>2]=c[Q+28>>2];ID(e,w,0)}while(0);_I(c[J>>2]|0);j=c[(c[q>>2]|0)+12>>2]|0;if(j|0)pw(e,5,j);if(t){if(L){Q=(c[q>>2]|0)+16|0;c[w>>2]=c[Q>>2];c[w+4>>2]=c[Q+4>>2];c[w+8>>2]=c[Q+8>>2];c[w+12>>2]=c[Q+12>>2];c[w+16>>2]=c[Q+16>>2];c[w+20>>2]=c[Q+20>>2];c[w+24>>2]=c[Q+24>>2];c[w+28>>2]=c[Q+28>>2];du(e,w);wD(e,c[s>>2]|0,c[r+228>>2]|0,c[r+244>>2]|0,c[r+212>>2]|0)}xD(e)}a:do if(!F){k=co(u)|0;while(1){if(!k)break a;xu(e,k);j=Pm(u,k)|0;while(1){if(!j)break;yu(e,j);j=Rm(u,j)|0}k=eo(u,k)|0}}while(0);yv(e,f);if(!L)wu(e,u,i)}v=v+1|0}l=P;return}function xu(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;j=l;l=l+32|0;e=j;h=c[b>>2]|0;i=d+16|0;a:do if(((c[(c[i>>2]|0)+8>>2]|0?(mv(b,ro(d)|0,d)|0)<<24>>24:0)?(k=b+256|0,c[e>>2]=c[k>>2],c[e+4>>2]=c[k+4>>2],c[e+8>>2]=c[k+8>>2],c[e+12>>2]=c[k+12>>2],c[e+16>>2]=c[k+16>>2],c[e+20>>2]=c[k+20>>2],c[e+24>>2]=c[k+24>>2],c[e+28>>2]=c[k+28>>2],(nv(d,e)|0)<<24>>24):0)?(f=(c[i>>2]|0)+116|0,g=c[h+28>>2]|0,(g|0)!=(a[f>>0]|0)):0){a[f>>0]=g;LD(b,Dn(d)|0);e=FA(d,c[42213]|0,174181)|0;if(a[e>>0]|0)LD(b,e);e=FA(d,c[42201]|0,174181)|0;b:do if(a[e>>0]|0){Du(e)|0;e=168408;while(1){f=e;e=e+4|0;f=c[f>>2]|0;if(!f)break b;if((a[f>>0]|0)!=105)continue;if(!(xJ(f,119127)|0))break a}}while(0);ov(b,d);hb[c[(c[(c[(c[i>>2]|0)+8>>2]|0)+4>>2]|0)+20>>2]&31](b,d);e=c[(c[i>>2]|0)+108>>2]|0;if(e|0?a[e+81>>0]|0:0)pw(b,10,e);pv(b)}while(0);l=j;return}function yu(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;h=l;l=l+32|0;g=h;e=b+256|0;c[g>>2]=c[e>>2];c[g+4>>2]=c[e+4>>2];c[g+8>>2]=c[e+8>>2];c[g+12>>2]=c[e+12>>2];c[g+16>>2]=c[e+16>>2];c[g+20>>2]=c[e+20>>2];c[g+24>>2]=c[e+24>>2];c[g+28>>2]=c[e+28>>2];a:do if((Bu(d,g)|0)<<24>>24?(f=d+-48|0,(Cu(b,d)|0)<<24>>24):0){i=d+48|0;e=rJ(Dn(c[((c[d>>2]&3|0)==3?d:i)+40>>2]|0)|0)|0;e=ZI(e+3+(rJ(Dn(c[((c[d>>2]&3|0)==2?d:f)+40>>2]|0)|0)|0)|0)|0;xK(e,Dn(c[((c[d>>2]&3|0)==3?d:i)+40>>2]|0)|0)|0;i=(qn(ro(c[((c[d>>2]&3|0)==2?d:f)+40>>2]|0)|0)|0)==0;g=e+(rJ(e)|0)|0;if(i){a[g>>0]=a[122549]|0;a[g+1>>0]=a[122550]|0;a[g+2>>0]=a[122551]|0}else{a[g>>0]=a[122546]|0;a[g+1>>0]=a[122547]|0;a[g+2>>0]=a[122548]|0}IL(e,Dn(c[((c[d>>2]&3|0)==2?d:f)+40>>2]|0)|0)|0;LD(b,e);_I(e);e=FA(d,c[42235]|0,174181)|0;if(a[e>>0]|0)LD(b,e);e=FA(d,c[42229]|0,174181)|0;b:do if(!(a[e>>0]|0))e=0;else{Du(e)|0;e=168408;while(1){f=e;e=e+4|0;f=c[f>>2]|0;if(!f){e=168408;break b}if((a[f>>0]|0)!=105)continue;if(!(xJ(f,119127)|0))break a}}while(0);Eu(b,d,e);Fu(b,d,e);Gu(b)}while(0);l=h;return}function zu(a,b){a=a|0;b=b|0;var d=0,e=0;d=a+16|0;a=1;while(1){e=c[d>>2]|0;if((a|0)>(c[e+180>>2]|0)){a=1;break}if(!(Bo(c[(c[e+184>>2]|0)+(a<<2)>>2]|0,b)|0))a=a+1|0;else{a=0;break}}return a|0}function Au(a,b){a=a|0;b=b|0;var d=0,e=0;d=a+16|0;a=1;while(1){e=c[d>>2]|0;if((a|0)>(c[e+180>>2]|0)){a=1;break}if(!(Bo(c[(c[e+184>>2]|0)+(a<<2)>>2]|0,b)|0))a=a+1|0;else{a=0;break}}return a|0}function Bu(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0;j=l;l=l+64|0;i=j+32|0;f=j;g=b+16|0;b=c[g>>2]|0;e=c[b+8>>2]|0;if((e|0)!=0?(e=e+8|0,c[f>>2]=c[e>>2],c[f+4>>2]=c[e+4>>2],c[f+8>>2]=c[e+8>>2],c[f+12>>2]=c[e+12>>2],c[f+16>>2]=c[e+16>>2],c[f+20>>2]=c[e+20>>2],c[f+24>>2]=c[e+24>>2],c[f+28>>2]=c[e+28>>2],c[i>>2]=c[d>>2],c[i+4>>2]=c[d+4>>2],c[i+8>>2]=c[d+8>>2],c[i+12>>2]=c[d+12>>2],c[i+16>>2]=c[d+16>>2],c[i+20>>2]=c[d+20>>2],c[i+24>>2]=c[d+24>>2],c[i+28>>2]=c[d+28>>2],(lv(f,i)|0)!=0):0)b=1;else h=3;do if((h|0)==3){e=c[b+96>>2]|0;if(e){c[i>>2]=c[d>>2];c[i+4>>2]=c[d+4>>2];c[i+8>>2]=c[d+8>>2];c[i+12>>2]=c[d+12>>2];c[i+16>>2]=c[d+16>>2];c[i+20>>2]=c[d+20>>2];c[i+24>>2]=c[d+24>>2];c[i+28>>2]=c[d+28>>2];if((CB(e,i)|0)<<24>>24){b=1;break}b=c[g>>2]|0}b=c[b+108>>2]|0;if((b|0?a[b+81>>0]|0:0)?(c[i>>2]=c[d>>2],c[i+4>>2]=c[d+4>>2],c[i+8>>2]=c[d+8>>2],c[i+12>>2]=c[d+12>>2],c[i+16>>2]=c[d+16>>2],c[i+20>>2]=c[d+20>>2],c[i+24>>2]=c[d+24>>2],c[i+28>>2]=c[d+28>>2],(CB(b,i)|0)<<24>>24):0){b=1;break}b=0}while(0);l=j;return b|0}function Cu(b,d){b=b|0;d=d|0;var e=0,f=0;a:do if((c[b+156>>2]|0)>=2?(e=FA(d,c[42234]|0,174181)|0,(hv(b,e)|0)<<24>>24==0):0)if(!(a[e>>0]|0)){e=0;while(1){if((e|0)>=2){e=0;break a}f=(e|0)==1;f=FA(c[((c[d>>2]&3|0)==((f?2:3)|0)?d:d+((f?-1:1)*48|0)|0)+40>>2]|0,c[42211]|0,174181)|0;if(!(a[f>>0]|0)){e=1;break a}if(!((hv(b,f)|0)<<24>>24))e=e+1|0;else{e=1;break}}}else e=0;else e=1;while(0);return e|0}function Du(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;p=l;l=l+192|0;o=p+24|0;n=p+16|0;m=p+8|0;k=p;g=p+48|0;j=p+32|0;if(a[85305]|0){cm(168672,128,173948);a[85305]=0}cm(j,128,p+56|0);c[g>>2]=b;h=j+4|0;i=j+8|0;d=0;e=0;a:while(1){f=d;b:while(1)switch(fv(g,j)|0){case 0:{d=21;break a}case 40:if(!(f<<24>>24)){f=1;continue b}else{d=7;break a}case 41:if(!(f<<24>>24)){d=9;break a}else{f=0;continue b}default:break b}if(!(f<<24>>24)){if((e|0)==63){d=12;break}d=c[42169]|0;if(d>>>0>=(c[42170]|0)>>>0){dm(168672,1)|0;d=c[42169]|0}c[42169]=d+1;a[d>>0]=0;c[168408+(e<<2)>>2]=c[42169];e=e+1|0}d=c[h>>2]|0;if(d>>>0>=(c[i>>2]|0)>>>0){dm(j,1)|0;d=c[h>>2]|0}a[d>>0]=0;d=c[j>>2]|0;c[h>>2]=d;fm(168672,d)|0;d=c[42169]|0;if(d>>>0>=(c[42170]|0)>>>0){dm(168672,1)|0;d=c[42169]|0}c[42169]=d+1;a[d>>0]=0;d=f}do if((d|0)==7){c[k>>2]=b;_l(1,85306,k)|0;c[42102]=0;gm(j)}else if((d|0)==9){c[m>>2]=b;_l(1,85340,m)|0;c[42102]=0;gm(j)}else if((d|0)==12){c[n>>2]=b;_l(0,85368,n)|0;c[42165]=0;gm(j)}else if((d|0)==21){if(f<<24>>24){c[o>>2]=b;_l(1,85391,o)|0;c[42102]=0;gm(j);break}c[168408+(e<<2)>>2]=0;gm(j);d=c[42169]|0;if(d>>>0>=(c[42170]|0)>>>0){dm(168672,1)|0;d=c[42169]|0}a[d>>0]=0;c[42169]=c[42168]}while(0);l=p;return 168408}function Eu(d,f,g){d=d|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0;A=l;l=l+160|0;y=A+24|0;w=A+20|0;v=A+16|0;o=A;p=A+32|0;x=c[d+152>>2]|0;c[y>>2]=0;c[w>>2]=0;c[v>>2]=0;z=Vt(d)|0;c[z+4>>2]=3;c[z+8>>2]=f;c[z+12>>2]=9;t=f+16|0;n=c[(c[t>>2]|0)+96>>2]|0;if((n|0?(a[n+82>>0]|0)==0:0)?(JA(Im(f,85121)|0,0)|0)<<24>>24:0){n=z+260|0;b[n>>1]=b[n>>1]|512}if(g|0?c[(c[t>>2]|0)+8>>2]|0:0)FD(d,g);g=c[42250]|0;if((g|0?(i=Jm(f,g)|0,i|0):0)?a[i>>0]|0:0)OD(d,+EA(f,c[42250]|0,1.0,0.0));do if(x&16777216|0){g=f+48|0;if((e[(c[(ro(c[((c[f>>2]&3|0)==3?f:g)+40>>2]|0)|0)+16>>2]|0)+178>>1]|0)>2){m=+h[(c[(c[(c[((c[f>>2]&3|0)==3?f:g)+40>>2]|0)+16>>2]|0)+132>>2]|0)+16>>3]*72.0;h[z+176>>3]=+(~~(m+(m>=0.0?.5:-.5))|0);m=+h[(c[(c[(c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0)+16>>2]|0)+132>>2]|0)+16>>3]*72.0;h[z+184>>3]=+(~~(m+(m>=0.0?.5:-.5))|0);break}else{n=z+176|0;c[n>>2]=0;c[n+4>>2]=0;c[n+8>>2]=0;c[n+12>>2]=0;break}}while(0);if(x&32768|0){n=c[t>>2]|0;g=c[n+96>>2]|0;if(!g)g=c[z+192>>2]|0;else{g=c[g>>2]|0;c[z+192>>2]=g}i=z+196|0;c[i>>2]=g;k=z+204|0;c[k>>2]=g;j=z+200|0;c[j>>2]=g;g=c[n+108>>2]|0;if(g|0)c[i>>2]=c[g>>2];g=c[n+104>>2]|0;if(g|0)c[j>>2]=c[g>>2];g=c[n+100>>2]|0;if(g|0)c[k>>2]=c[g>>2]}if(!(x&65536))j=0;else{cm(o,128,p);c[z+212>>2]=qw(Yt(d,f,o)|0,f)|0;gm(o);g=Im(f,96264)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0)q=31;else{g=Im(f,96269)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0)q=31;else i=0}if((q|0)==31)i=qw(g,f)|0;g=Im(f,85134)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0)q=36;else q=34;do if((q|0)==34){g=Im(f,85143)|0;if(g|0?a[g>>0]|0:0){q=36;break}if(i|0){g=GL(i)|0;q=39}}while(0);if((q|0)==36){g=qw(g,f)|0;q=39}if((q|0)==39)c[z+208>>2]=g;g=Im(f,85151)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0)q=44;else q=42;do if((q|0)==42){g=Im(f,85161)|0;if(g|0?a[g>>0]|0:0){q=44;break}if(i|0){g=GL(i)|0;q=47}}while(0);if((q|0)==44){g=qw(g,f)|0;q=47}if((q|0)==47)c[z+216>>2]=g;g=Im(f,85170)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0)q=52;else q=50;do if((q|0)==50){g=Im(f,85179)|0;if(g|0?a[g>>0]|0:0){q=52;break}if(i|0)c[z+220>>2]=GL(i)|0}while(0);if((q|0)==52){c[z+220>>2]=qw(g,f)|0;q=z+260|0;b[q>>1]=b[q>>1]|128}g=Im(f,85187)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0)q=59;else q=57;do if((q|0)==57){g=Im(f,85196)|0;if(g|0?a[g>>0]|0:0){q=59;break}if(i|0)c[z+224>>2]=GL(i)|0}while(0);if((q|0)==59){c[z+224>>2]=qw(g,f)|0;q=z+260|0;b[q>>1]=b[q>>1]|256}j=i}do if(x&8388608){g=Im(f,85204)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0)i=qw(g,f)|0;else i=0;g=Im(f,85211)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0){q=z+260|0;b[q>>1]=b[q>>1]|64;g=qw(g,f)|0;q=72}else q=70;if((q|0)==70?i|0:0){g=GL(i)|0;q=72}if((q|0)==72)c[z+244>>2]=g;g=Im(f,85222)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0){g=qw(g,f)|0;q=78}else q=76;if((q|0)==76?i|0:0){g=GL(i)|0;q=78}if((q|0)==78)c[z+248>>2]=g;g=Im(f,85234)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0){c[z+252>>2]=qw(g,f)|0;p=z+260|0;b[p>>1]=b[p>>1]|16}else q=82;if((q|0)==82?i|0:0)c[z+252>>2]=GL(i)|0;g=Im(f,85245)|0;if(g|0?a[g>>0]|0:0){q=z+260|0;b[q>>1]=b[q>>1]|32;c[z+256>>2]=qw(g,f)|0;break}if(i)c[z+256>>2]=GL(i)|0;else i=0}else i=0;while(0);do if(x&4194304|0){g=Im(f,96229)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0)q=94;else q=92;do if((q|0)==92){g=Im(f,85256)|0;if(g|0?a[g>>0]|0:0){q=94;break}g=c[z+192>>2]|0;if(g|0)c[z+228>>2]=GL(g)|0}while(0);if((q|0)==94){p=Zu(g,f)|0;c[z+228>>2]=qw(p,f)|0;_I(p);p=z+260|0;b[p>>1]=b[p>>1]|1}g=Im(f,85268)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0){p=Zu(g,f)|0;c[z+232>>2]=qw(p,f)|0;_I(p);p=z+260|0;b[p>>1]=b[p>>1]|8}else q=100;if((q|0)==100?(r=c[z+192>>2]|0,r|0):0)c[z+232>>2]=GL(r)|0;g=Im(f,85281)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0){r=Zu(g,f)|0;c[z+236>>2]=qw(r,f)|0;_I(r);r=z+260|0;b[r>>1]=b[r>>1]|2}else q=105;if((q|0)==105?(s=c[z+200>>2]|0,s|0):0)c[z+236>>2]=GL(s)|0;g=Im(f,85293)|0;if(g|0?a[g>>0]|0:0){s=Zu(g,f)|0;c[z+240>>2]=qw(s,f)|0;_I(s);s=z+260|0;b[s>>1]=b[s>>1]|4;break}g=c[z+204>>2]|0;if(g|0)c[z+240>>2]=GL(g)|0}while(0);_I(j);_I(i);do if(x&4259840|0?(u=c[(c[t>>2]|0)+8>>2]|0,u|0):0){if(!(c[z+208>>2]|0)){if((x&524288|0)==0|(c[z+228>>2]|0)==0)break}else if(!(x&524288))break;m=+h[(c[d+16>>2]|0)+152>>3]*.5;m=m>2.0?m:2.0;i=c[u+4>>2]|0;g=0;while(1){if((g|0)>=(i|0))break;_u(y,w,v,(c[u>>2]|0)+(g*48|0)|0,m);g=g+1|0}j=c[v>>2]|0;c[z+276>>2]=j;k=c[w>>2]|0;c[z+280>>2]=k;if(!(x&8192)){g=0;i=0;while(1){if((i|0)>=(j|0))break;g=(c[k+(i<<2)>>2]|0)+g|0;i=i+1|0}y=c[y>>2]|0;fD(d,y,y,g)|0;g=y}else g=c[y>>2]|0;c[z+284>>2]=g;c[z+264>>2]=2;c[z+272>>2]=g;c[z+268>>2]=c[k>>2]}while(0);uD(d,f);g=c[z+208>>2]|0;if(!((g|0)==0?!(b[z+260>>1]&1):0))wD(d,g,c[z+228>>2]|0,c[z+244>>2]|0,c[z+212>>2]|0);l=A;return}function Fu(b,e,f){b=b|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0.0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0.0,N=0.0,O=0,P=0,Q=0,R=0,S=0;P=l;l=l+240|0;L=P+224|0;K=P+208|0;x=P+128|0;w=P+112|0;O=P+64|0;C=P+48|0;D=P+32|0;E=P+16|0;F=P;G=P+192|0;H=P+176|0;y=P+160|0;B=P+144|0;c[E>>2]=0;c[E+4>>2]=0;c[E+8>>2]=0;c[E+12>>2]=0;M=+h[(c[b+16>>2]|0)+152>>3];ZE(Im(e,85048)|0);J=e+16|0;a:do if(c[(c[J>>2]|0)+8>>2]|0){N=+EA(e,c[42232]|0,1.0,0.0);k=FA(e,c[42220]|0,174181)|0;v=(f|0)!=0;b:do if(v){g=f;while(1){i=g;g=g+4|0;i=c[i>>2]|0;if(!i){o=0;break b}if((a[i>>0]|0)!=116)continue;if(!(xJ(i,95939)|0)){o=1;break}}}else o=0;while(0);j=k;q=0;i=0;c:while(1){switch(a[j>>0]|0){case 0:break c;case 58:{g=q+1|0;break}case 59:{g=q;i=i+1|0;break}default:g=q}j=j+1|0;q=g}n=(q|0)!=0;if((i|0)!=0&n)if(!(Nu(b,e,f,k,q+1|0,N,M)|0))break;else m=122106;else m=k;g=d[(c[J>>2]|0)+115>>0]|0;if(!(g&1))if(!(g&2))if(!(g&8))if(!(g&4)){i=m;j=GA(e,c[42221]|0,m)|0}else{j=91340;g=91332;k=168888;i=168888;p=18}else{j=91324;g=91316;k=168888;i=168888;p=18}else{j=91308;g=91300;k=168888;i=168888;p=18}else{j=91292;g=91284;k=168888;i=168888;p=18}if((p|0)==18){i=c[i>>2]|0;i=GA(e,i,Ou(m,g)|0)|0;g=GA(e,c[k>>2]|0,j)|0;if((i|0)==(m|0)){i=m;j=g}else{BD(b,i);j=g}}if((j|0)!=(m|0))DD(b,j);if(o<<24>>24){i=(a[i>>0]|0)==0?122106:i;g=(a[j>>0]|0)==0?122106:j;BD(b,122171);DD(b,i);u=O;r=c[c[(c[J>>2]|0)+8>>2]>>2]|0;s=u+48|0;do{c[u>>2]=c[r>>2];u=u+4|0;r=r+4|0}while((u|0)<(s|0));J=dA(O,Pu(e)|0,M,0,0)|0;HD(b,c[J+8>>2]|0,c[J>>2]|0,1);Qu(J);BD(b,i);if((g|0)!=(i|0))DD(b,g);g=c[O+8>>2]|0;if(g|0){I=O+16|0;J=c[O>>2]|0;c[K>>2]=c[I>>2];c[K+4>>2]=c[I+4>>2];c[K+8>>2]=c[I+8>>2];c[K+12>>2]=c[I+12>>2];c[L>>2]=c[J>>2];c[L+4>>2]=c[J+4>>2];c[L+8>>2]=c[J+8>>2];c[L+12>>2]=c[J+12>>2];St(b,2,K,L,N,M,g)}g=c[O+12>>2]|0;if(!g)break;J=O+32|0;O=(c[O>>2]|0)+((c[O+4>>2]|0)+-1<<4)|0;c[K>>2]=c[J>>2];c[K+4>>2]=c[J+4>>2];c[K+8>>2]=c[J+8>>2];c[K+12>>2]=c[J+12>>2];c[L>>2]=c[O>>2];c[L+4>>2]=c[O+4>>2];c[L+8>>2]=c[O+8>>2];c[L+12>>2]=c[O+12>>2];St(b,3,K,L,N,M,g);break}g=c[J>>2]|0;if(!n){do if(!(a[g+115>>0]&3)){if(a[i>>0]|0){BD(b,i);DD(b,j);break}BD(b,122106);if(!(a[j>>0]|0)){DD(b,122106);break}else{DD(b,j);break}}while(0);k=b+152|0;m=O+4|0;n=O+8|0;o=O+12|0;p=O+32|0;q=O+16|0;j=0;while(1){g=c[(c[J>>2]|0)+8>>2]|0;if((j|0)>=(c[g+4>>2]|0))break a;u=O;r=(c[g>>2]|0)+(j*48|0)|0;s=u+48|0;do{c[u>>2]=c[r>>2];u=u+4|0;r=r+4|0}while((u|0)<(s|0));g=c[O>>2]|0;i=c[m>>2]|0;do if(!(c[k>>2]&16384)){JD(b,g,i,0,0,0);g=c[n>>2]|0;if(g|0){I=c[O>>2]|0;c[K>>2]=c[q>>2];c[K+4>>2]=c[q+4>>2];c[K+8>>2]=c[q+8>>2];c[K+12>>2]=c[q+12>>2];c[L>>2]=c[I>>2];c[L+4>>2]=c[I+4>>2];c[L+8>>2]=c[I+8>>2];c[L+12>>2]=c[I+12>>2];St(b,2,K,L,N,M,g)}g=c[o>>2]|0;if(g|0){I=(c[O>>2]|0)+((c[m>>2]|0)+-1<<4)|0;c[K>>2]=c[p>>2];c[K+4>>2]=c[p+4>>2];c[K+8>>2]=c[p+8>>2];c[K+12>>2]=c[p+12>>2];c[L>>2]=c[I>>2];c[L+4>>2]=c[I+4>>2];c[L+8>>2]=c[I+8>>2];c[L+12>>2]=c[I+12>>2];St(b,3,K,L,N,M,g)}if((c[(c[(c[J>>2]|0)+8>>2]|0)+4>>2]|0)>1){if(!(c[n>>2]|0)){if(!(v&(c[o>>2]|0)!=0))break}else if(!v)break;FD(b,f)}}else JD(b,g,i,c[n>>2]|0,c[o>>2]|0,0);while(0);j=j+1|0}}I=c[(c[g+8>>2]|0)+4>>2]|0;A=I*48|0;z=ZI(A)|0;A=ZI(A)|0;t=+(q+2|0)*.5;v=O+4|0;p=C+8|0;q=D+8|0;e=E+8|0;f=F+8|0;o=0;while(1){if((o|0)>=(I|0))break;u=O;r=(c[c[(c[J>>2]|0)+8>>2]>>2]|0)+(o*48|0)|0;s=u+48|0;do{c[u>>2]=c[r>>2];u=u+4|0;r=r+4|0}while((u|0)<(s|0));g=c[v>>2]|0;c[z+(o*48|0)+4>>2]=g;c[A+(o*48|0)+4>>2]=g;n=g<<4;m=ZI(n)|0;c[z+(o*48|0)>>2]=m;n=ZI(n)|0;c[A+(o*48|0)>>2]=n;k=c[O>>2]|0;c[F>>2]=c[k>>2];c[F+4>>2]=c[k+4>>2];c[F+8>>2]=c[k+8>>2];c[F+12>>2]=c[k+12>>2];k=0;while(1){if((k|0)>=(g+-1|0))break;c[C>>2]=c[F>>2];c[C+4>>2]=c[F+4>>2];c[C+8>>2]=c[F+8>>2];c[C+12>>2]=c[F+12>>2];g=k+1|0;j=(c[O>>2]|0)+(g<<4)|0;c[D>>2]=c[j>>2];c[D+4>>2]=c[j+4>>2];c[D+8>>2]=c[j+8>>2];c[D+12>>2]=c[j+12>>2];j=m+(k<<4)|0;if(!k){c[K>>2]=c[C>>2];c[K+4>>2]=c[C+4>>2];c[K+8>>2]=c[C+8>>2];c[K+12>>2]=c[C+12>>2];c[L>>2]=c[D>>2];c[L+4>>2]=c[D+4>>2];c[L+8>>2]=c[D+8>>2];c[L+12>>2]=c[D+12>>2];Ru(G,K,L);c[j>>2]=c[G>>2];c[j+4>>2]=c[G+4>>2];c[j+8>>2]=c[G+8>>2];c[j+12>>2]=c[G+12>>2]}else{c[K>>2]=c[E>>2];c[K+4>>2]=c[E+4>>2];c[K+8>>2]=c[E+8>>2];c[K+12>>2]=c[E+12>>2];c[L>>2]=c[D>>2];c[L+4>>2]=c[D+4>>2];c[L+8>>2]=c[D+8>>2];c[L+12>>2]=c[D+12>>2];Ru(H,K,L);c[j>>2]=c[H>>2];c[j+4>>2]=c[H+4>>2];c[j+8>>2]=c[H+8>>2];c[j+12>>2]=c[H+12>>2]}R=c[O>>2]|0;s=k+2|0;S=R+(s<<4)|0;c[E>>2]=c[S>>2];c[E+4>>2]=c[S+4>>2];c[E+8>>2]=c[S+8>>2];c[E+12>>2]=c[S+12>>2];u=k+3|0;R=R+(u<<4)|0;c[F>>2]=c[R>>2];c[F+4>>2]=c[R+4>>2];c[F+8>>2]=c[R+8>>2];c[F+12>>2]=c[R+12>>2];Q=m+(g<<4)|0;r=m+(s<<4)|0;c[w>>2]=c[C>>2];c[w+4>>2]=c[C+4>>2];c[w+8>>2]=c[C+8>>2];c[w+12>>2]=c[C+12>>2];c[x>>2]=c[D>>2];c[x+4>>2]=c[D+4>>2];c[x+8>>2]=c[D+8>>2];c[x+12>>2]=c[D+12>>2];c[K>>2]=c[S>>2];c[K+4>>2]=c[S+4>>2];c[K+8>>2]=c[S+8>>2];c[K+12>>2]=c[S+12>>2];c[L>>2]=c[R>>2];c[L+4>>2]=c[R+4>>2];c[L+8>>2]=c[R+8>>2];c[L+12>>2]=c[R+12>>2];Su(y,w,x,K,L);c[r>>2]=c[y>>2];c[r+4>>2]=c[y+4>>2];c[r+8>>2]=c[y+8>>2];c[r+12>>2]=c[y+12>>2];c[Q>>2]=c[y>>2];c[Q+4>>2]=c[y+4>>2];c[Q+8>>2]=c[y+8>>2];c[Q+12>>2]=c[y+12>>2];h[n+(k<<4)>>3]=+h[C>>3]-+h[j>>3]*t;h[n+(k<<4)+8>>3]=+h[p>>3]-+h[m+(k<<4)+8>>3]*t;h[n+(g<<4)>>3]=+h[D>>3]-+h[Q>>3]*t;h[n+(g<<4)+8>>3]=+h[q>>3]-+h[m+(g<<4)+8>>3]*t;h[n+(s<<4)>>3]=+h[E>>3]-+h[r>>3]*t;h[n+(s<<4)+8>>3]=+h[e>>3]-+h[m+(s<<4)+8>>3]*t;k=u;g=c[v>>2]|0}S=m+(k<<4)|0;c[K>>2]=c[E>>2];c[K+4>>2]=c[E+4>>2];c[K+8>>2]=c[E+8>>2];c[K+12>>2]=c[E+12>>2];c[L>>2]=c[F>>2];c[L+4>>2]=c[F+4>>2];c[L+8>>2]=c[F+8>>2];c[L+12>>2]=c[F+12>>2];Ru(B,K,L);c[S>>2]=c[B>>2];c[S+4>>2]=c[B+4>>2];c[S+8>>2]=c[B+8>>2];c[S+12>>2]=c[B+12>>2];h[n+(k<<4)>>3]=+h[F>>3]-+h[S>>3]*t;h[n+(k<<4)+8>>3]=+h[f>>3]-+h[m+(k<<4)+8>>3]*t;o=o+1|0}s=GL(i)|0;f=0;r=i;g=i;j=i;i=s;while(1){i=DL(i,93017)|0;if(!i)break;e=(a[i>>0]|0)==0?122106:i;if((e|0)!=(j|0))if(!(a[(c[J>>2]|0)+115>>0]&3)){BD(b,e);DD(b,e);j=e}else j=e;m=(f|0)==0;n=f>>>0<2;i=0;while(1){if((i|0)>=(I|0))break;o=c[A+(i*48|0)>>2]|0;p=c[z+(i*48|0)>>2]|0;q=c[A+(i*48|0)+4>>2]|0;k=0;while(1){if((k|0)>=(q|0))break;S=o+(k<<4)|0;h[S>>3]=+h[S>>3]+ +h[p+(k<<4)>>3];S=o+(k<<4)+8|0;h[S>>3]=+h[S>>3]+ +h[p+(k<<4)+8>>3];k=k+1|0}JD(b,o,q,0,0,0);i=i+1|0}f=f+1|0;r=m?e:r;g=n?e:g;i=0}i=c[O+8>>2]|0;if(!i)i=0;else{if(g){if(!(a[(c[J>>2]|0)+115>>0]&3)){BD(b,g);DD(b,g)}}else g=0;R=O+16|0;S=c[O>>2]|0;c[K>>2]=c[R>>2];c[K+4>>2]=c[R+4>>2];c[K+8>>2]=c[R+8>>2];c[K+12>>2]=c[R+12>>2];c[L>>2]=c[S>>2];c[L+4>>2]=c[S+4>>2];c[L+8>>2]=c[S+8>>2];c[L+12>>2]=c[S+12>>2];St(b,2,K,L,N,M,i);i=g}j=O+12|0;g=c[j>>2]|0;if(g|0){if((i|0)!=(r|0)?(a[(c[J>>2]|0)+115>>0]&3)==0:0){BD(b,r);DD(b,r);g=c[j>>2]|0}R=O+32|0;S=(c[O>>2]|0)+((c[v>>2]|0)+-1<<4)|0;c[K>>2]=c[R>>2];c[K+4>>2]=c[R+4>>2];c[K+8>>2]=c[R+8>>2];c[K+12>>2]=c[R+12>>2];c[L>>2]=c[S>>2];c[L+4>>2]=c[S+4>>2];c[L+8>>2]=c[S+8>>2];c[L+12>>2]=c[S+12>>2];St(b,3,K,L,N,M,g)}_I(s);g=0;while(1){if((g|0)>=(I|0))break;_I(c[z+(g*48|0)>>2]|0);_I(c[A+(g*48|0)>>2]|0);g=g+1|0}_I(z);_I(A)}while(0);l=P;return}function Gu(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0;x=l;l=l+64|0;r=x+48|0;u=x+32|0;t=x+16|0;s=x;w=c[a+16>>2]|0;v=c[w+8>>2]|0;q=w+208|0;if(!((c[q>>2]|0)==0?!(b[w+260>>1]&1):0))d=3;a:do if((d|0)==3?(xD(a),p=w+276|0,e=c[p>>2]|0,e|0):0){h=w+280|0;d=c[h>>2]|0;i=w+268|0;j=w+284|0;k=w+272|0;m=w+228|0;n=w+244|0;o=w+212|0;f=c[d>>2]|0;g=1;while(1){if((g|0)>=(e|0))break a;c[i>>2]=c[d+(g<<2)>>2];c[k>>2]=(c[j>>2]|0)+(f<<4);wD(a,c[q>>2]|0,c[m>>2]|0,c[n>>2]|0,c[o>>2]|0);xD(a);y=c[h>>2]|0;f=(c[y+(g<<2)>>2]|0)+f|0;g=g+1|0;e=c[p>>2]|0;d=y}}while(0);c[w+268>>2]=0;c[w+272>>2]=0;q=v+16|0;d=c[q>>2]|0;e=c[d+8>>2]|0;if(!e)f=w+260|0;else{p=c[e>>2]|0;d=c[p>>2]|0;y=c[p+8>>2]|0;o=p+16|0;c[t>>2]=c[o>>2];c[t+4>>2]=c[o+4>>2];c[t+8>>2]=c[o+8>>2];c[t+12>>2]=c[o+12>>2];p=p+32|0;c[s>>2]=c[p>>2];c[s+4>>2]=c[p+4>>2];c[s+8>>2]=c[p+8>>2];c[s+12>>2]=c[p+12>>2];if(!y){c[u>>2]=c[d>>2];c[u+4>>2]=c[d+4>>2];c[u+8>>2]=c[d+8>>2];c[u+12>>2]=c[d+12>>2]}else{c[u>>2]=c[t>>2];c[u+4>>2]=c[t+4>>2];c[u+8>>2]=c[t+8>>2];c[u+12>>2]=c[t+12>>2]}f=w+260|0;p=b[f>>1]|0;o=c[w+220>>2]|0;c[r>>2]=c[u>>2];c[r+4>>2]=c[u+4>>2];c[r+8>>2]=c[u+8>>2];c[r+12>>2]=c[u+12>>2];Hu(a,r,(p<<8&65535)<<16>>16>>15&255,o,(p<<14&65535)<<16>>16>>15&255);p=c[(c[q>>2]|0)+8>>2]|0;o=c[p>>2]|0;p=(c[p+4>>2]|0)+-1|0;d=c[o+(p*48|0)>>2]|0;e=c[o+(p*48|0)+4>>2]|0;y=c[o+(p*48|0)+12>>2]|0;n=o+(p*48|0)+16|0;c[t>>2]=c[n>>2];c[t+4>>2]=c[n+4>>2];c[t+8>>2]=c[n+8>>2];c[t+12>>2]=c[n+12>>2];t=o+(p*48|0)+32|0;c[s>>2]=c[t>>2];c[s+4>>2]=c[t+4>>2];c[s+8>>2]=c[t+8>>2];c[s+12>>2]=c[t+12>>2];if(!y){y=d+(e+-1<<4)|0;c[u>>2]=c[y>>2];c[u+4>>2]=c[y+4>>2];c[u+8>>2]=c[y+8>>2];c[u+12>>2]=c[y+12>>2]}else{c[u>>2]=c[s>>2];c[u+4>>2]=c[s+4>>2];c[u+8>>2]=c[s+8>>2];c[u+12>>2]=c[s+12>>2]}d=b[f>>1]|0;y=c[w+224>>2]|0;c[r>>2]=c[u>>2];c[r+4>>2]=c[u+4>>2];c[r+8>>2]=c[u+8>>2];c[r+12>>2]=c[u+12>>2];Hu(a,r,(d<<7&65535)<<16>>16>>15&255,y,(d<<13&65535)<<16>>16>>15&255);d=c[q>>2]|0}e=c[d+96>>2]|0;g=(b[f>>1]<<12&65535)<<16>>16>>15<<16>>16;m=w+216|0;h=c[m>>2]|0;n=w+232|0;i=c[n>>2]|0;o=w+248|0;j=c[o>>2]|0;p=w+212|0;k=c[p>>2]|0;if(!((IA(FA(v,c[42230]|0,122100)|0)|0)<<24>>24))d=0;else d=c[(c[q>>2]|0)+8>>2]|0;Iu(a,e,11,g,h,i,j,k,d);j=c[(c[q>>2]|0)+108>>2]|0;k=(b[f>>1]<<12&65535)<<16>>16>>15<<16>>16;i=c[m>>2]|0;h=c[n>>2]|0;e=c[o>>2]|0;g=c[p>>2]|0;if(!((IA(FA(v,c[42230]|0,122100)|0)|0)<<24>>24))d=0;else d=c[(c[q>>2]|0)+8>>2]|0;Iu(a,j,11,k,i,h,e,g,d);Iu(a,c[(c[q>>2]|0)+100>>2]|0,7,(b[f>>1]<<13&65535)<<16>>16>>15<<16>>16,c[w+224>>2]|0,c[w+240>>2]|0,c[w+256>>2]|0,c[p>>2]|0,0);Iu(a,c[(c[q>>2]|0)+104>>2]|0,6,(b[f>>1]<<14&65535)<<16>>16>>15<<16>>16,c[w+220>>2]|0,c[w+236>>2]|0,c[w+252>>2]|0,c[p>>2]|0,0);vD(a);Wt(a);l=x;return}function Hu(a,d,e,f,g){a=a|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0;j=l;l=l+16|0;h=j;i=c[a+16>>2]|0;if(!(e<<24>>24))f=c[i+208>>2]|0;if(!(g<<24>>24==0?((f|0)==0?(b[i+260>>1]&1)==0:0):0)){c[h>>2]=c[d>>2];c[h+4>>2]=c[d+4>>2];c[h+8>>2]=c[d+8>>2];c[h+12>>2]=c[d+12>>2];Mu(a,h)}l=j;return}function Iu(b,d,e,f,g,h,i,j,k){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;i=i|0;j=j|0;k=k|0;var m=0,n=0,o=0,p=0,q=0,r=0;r=l;l=l+16|0;o=r;q=c[b+152>>2]|0;if(d|0?a[d+81>>0]|0:0){if(!j)n=0;else{n=vw((rJ(j)|0)+11|0)|0;switch(e|0){case 11:{m=86240;break}case 7:{m=86656;break}case 6:{m=86666;break}default:ma(123205,84925,2730,85060)}c[o>>2]=j;c[o+4>>2]=m;pL(n,85076,o)|0}o=b+16|0;j=(c[o>>2]|0)+12|0;p=c[j>>2]|0;c[j>>2]=e;j=(f|0)!=0|(g|0)!=0;m=(q&4|0)==0;if(j&m){Ju(b,d);wD(b,g,h,i,n)}pw(b,e,d);if(k|0)Ku(b,d,k);if(j){if(!m){Ju(b,d);wD(b,g,h,i,n)}xD(b)}_I(n);c[(c[o>>2]|0)+12>>2]=p}l=r;return}function Ju(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0;d=c[a+16>>2]|0;e=c[a+152>>2]|0;if(e&4259840|0){f=e&131072;i=f>>>16^2;c[d+264>>2]=i;j=d+268|0;c[j>>2]=i+2;i=d+272|0;_I(c[i>>2]|0);d=vw(c[j>>2]<<4)|0;c[i>>2]=d;i=b+56|0;j=b+24|0;h[d>>3]=+h[i>>3]-+h[j>>3]*.5;g=b+64|0;b=b+32|0;h[d+8>>3]=+h[g>>3]-+h[b>>3]*.5;h[d+16>>3]=+h[j>>3]*.5+ +h[i>>3];h[d+24>>3]=+h[b>>3]*.5+ +h[g>>3];if(!(e&8192))fD(a,d,d,2)|0;if(!f)Zv(d)}return}function Ku(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0.0;o=l;l=l+96|0;g=o+80|0;i=o+32|0;j=o+16|0;k=o;f=c[d>>2]|0;while(1){m=a[f>>0]|0;if(!(m<<24>>24))break;if(!(XJ(m&255)|0)){n=4;break}else f=f+1|0}if((n|0)==4){p=+h[d+24>>3];m=d+56|0;Lu(i,+h[m>>3]+p*.5,+h[d+64>>3]-+h[d+32>>3]*.5);n=i+16|0;Lu(j,+h[i>>3]-p,+h[i+8>>3]);c[n>>2]=c[j>>2];c[n+4>>2]=c[j+4>>2];c[n+8>>2]=c[j+8>>2];c[n+12>>2]=c[j+12>>2];n=i+32|0;c[g>>2]=c[m>>2];c[g+4>>2]=c[m+4>>2];c[g+8>>2]=c[m+8>>2];c[g+12>>2]=c[m+12>>2];VA(k,e,g);c[n>>2]=c[k>>2];c[n+4>>2]=c[k+4>>2];c[n+8>>2]=c[k+8>>2];c[n+12>>2]=c[k+12>>2];FD(b,c[(c[b>>2]|0)+336>>2]|0);BD(b,c[d+8>>2]|0);KD(b,i,3)}l=o;return}function Lu(a,b,c){a=a|0;b=+b;c=+c;h[a>>3]=b;h[a+8>>3]=c;return}function Mu(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0.0,i=0.0,j=0,k=0;d=c[a+16>>2]|0;e=c[a+152>>2]|0;if(e&4259840|0){f=e&131072;j=f>>>16^2;c[d+264>>2]=j;k=d+268|0;c[k>>2]=j+2;j=d+272|0;_I(c[j>>2]|0);d=vw(c[k>>2]<<4)|0;c[j>>2]=d;i=+h[b>>3];h[d>>3]=i+-3.0;g=+h[b+8>>3];h[d+8>>3]=g+-3.0;h[d+16>>3]=i+3.0;h[d+24>>3]=g+3.0;if(!(e&8192))fD(a,d,d,2)|0;if(!f)Zv(d)}return}function Nu(a,b,d,e,f,h,i){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;h=+h;i=+i;var j=0,k=0,m=0.0,n=0.0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0;J=l;l=l+256|0;D=J+224|0;C=J+208|0;j=J+192|0;F=J+144|0;G=J+96|0;H=J+48|0;E=J;k=J+240|0;e=$t(e,f,k)|0;if((e|0)>1){z=b+48|0;A=ro(c[((c[b>>2]&3|0)==3?b:z)+40>>2]|0)|0;z=Dn(c[((c[b>>2]&3|0)==3?b:z)+40>>2]|0)|0;A=(qn(A)|0)!=0;B=Dn(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0;c[j>>2]=z;c[j+4>>2]=A?85095:85100;c[j+8>>2]=B;_l(3,85105,j)|0;if((e|0)==2)e=1;else I=4}else if((e|0)==1)e=1;else I=4;if((I|0)==4){B=b+16|0;r=c[k>>2]|0;s=r+8|0;t=H+4|0;u=F+8|0;v=F+12|0;w=(d|0)!=0;q=(d|0)==0;x=F+32|0;y=F+4|0;z=F+16|0;A=E+4|0;e=0;p=0;while(1){f=c[(c[B>>2]|0)+8>>2]|0;if((p|0)>=(c[f+4>>2]|0))break;j=F;f=(c[f>>2]|0)+(p*48|0)|0;b=j+48|0;do{c[j>>2]=c[f>>2];j=j+4|0;f=f+4|0}while((j|0)<(b|0));b=1;m=1.0;o=c[s>>2]|0;a:while(1){f=c[o>>2]|0;if(!f)break;k=o+4|0;n=+g[k>>2];do if(n<1.0e-05&n>-1.0e-05)f=b;else{BD(a,f);n=+g[k>>2];m=m-n;e=c[o>>2]|0;if(b|0){Xu(F,n,H,E);k=c[H>>2]|0;JD(a,k,c[t>>2]|0,0,0,0);_I(k);if(m<1.0e-05&m>-1.0e-05){I=11;break a}else{f=0;break}}if(m<1.0e-05&m>-1.0e-05){I=13;break a}j=G;f=E;b=j+48|0;do{c[j>>2]=c[f>>2];j=j+4|0;f=f+4|0}while((j|0)<(b|0));n=+g[k>>2];Xu(G,n/(m+n),H,E);_I(c[G>>2]|0);f=c[H>>2]|0;JD(a,f,c[t>>2]|0,0,0,0);_I(f);f=0}while(0);b=f;o=o+12|0}if((I|0)==11){I=0;_I(c[E>>2]|0)}else if((I|0)==13){I=0;o=c[E>>2]|0;JD(a,o,c[A>>2]|0,0,0,0);_I(o)}if(c[u>>2]|0){BD(a,c[c[s>>2]>>2]|0);DD(a,c[c[s>>2]>>2]|0);k=c[F>>2]|0;o=c[u>>2]|0;c[C>>2]=c[z>>2];c[C+4>>2]=c[z+4>>2];c[C+8>>2]=c[z+8>>2];c[C+12>>2]=c[z+12>>2];c[D>>2]=c[k>>2];c[D+4>>2]=c[k+4>>2];c[D+8>>2]=c[k+8>>2];c[D+12>>2]=c[k+12>>2];St(a,2,C,D,h,i,o)}if(c[v>>2]|0){BD(a,e);DD(a,e);k=(c[F>>2]|0)+((c[y>>2]|0)+-1<<4)|0;o=c[v>>2]|0;c[C>>2]=c[x>>2];c[C+4>>2]=c[x+4>>2];c[C+8>>2]=c[x+8>>2];c[C+12>>2]=c[x+12>>2];c[D>>2]=c[k>>2];c[D+4>>2]=c[k+4>>2];c[D+8>>2]=c[k+8>>2];c[D+12>>2]=c[k+12>>2];St(a,3,C,D,h,i,o)}do if((c[(c[(c[B>>2]|0)+8>>2]|0)+4>>2]|0)>1){if(!(c[u>>2]|0)){if(!(w&(c[v>>2]|0)!=0))break}else if(q)break;FD(a,d)}while(0);p=p+1|0}au(r);e=0}l=J;return e|0}function Ou(b,d){b=b|0;d=d|0;var e=0,f=0;e=1;a:while(1){switch(a[b>>0]|0){case 0:break a;case 58:{e=e+1|0;break}default:{}}b=b+1|0}f=O((rJ(d)|0)+1|0,e)|0;b=f+10|0;if((c[42166]|0)<(f|0)){c[42166]=b;b=aJ(c[42167]|0,b)|0;c[42167]=b}else b=c[42167]|0;xK(b,d)|0;while(1){e=e+-1|0;b=c[42167]|0;if(!e)break;f=b+(rJ(b)|0)|0;a[f>>0]=58;a[f+1>>0]=0;IL(b,d)|0}return b|0}function Pu(b){b=b|0;var d=0,e=0;d=c[42228]|0;a:do if(!d)e=7;else{d=Jm(b,d)|0;switch(a[d>>0]|0){case 110:if(!(xJ(d,120501)|0)){d=1;break a}else{e=7;break a}case 102:if(!(xJ(d,85082)|0)){d=2;break a}else{e=7;break a}case 98:{if(!(xJ(d,85090)|0)){d=3;break a}if(!(xJ(d,96056)|0)){d=4;break a}else{e=7;break a}}default:{e=7;break a}}}while(0);if((e|0)==7){d=(qn(ro(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0)|0)!=0;d=d?2:1}return d|0}function Qu(a){a=a|0;if(a|0){_I(c[a+8>>2]|0);_I(a)}return}function Ru(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0,f=0.0;e=+h[b>>3]-+h[c>>3];f=+h[b+8>>3]-+h[c+8>>3];d=2.0/+C(+(e*e+.0001+f*f));h[a>>3]=d*f;h[a+8>>3]=-(e*d);return}function Su(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0.0,j=0.0;g=+h[c>>3]-+h[d>>3];i=+h[c+8>>3]-+h[d+8>>3];f=+C(+(i*i+g*g));if(f<.0001){j=+h[b>>3]-+h[e>>3];f=+h[b+8>>3]-+h[e+8>>3];i=f;g=j;f=+C(+(j*j+.0001+f*f))}j=2.0/f;h[a>>3]=i*j;h[a+8>>3]=-(j*g);return}function Tu(a,b,c){a=+a;b=+b;c=+c;return +(c*.5*(1.0-a/b))}function Uu(a,b,c){a=+a;b=+b;c=+c;return +(c*.5)}function Vu(a,b,c){a=+a;b=+b;c=+c;return +(c*.5*(a/b))}function Wu(a,b,c){a=+a;b=+b;c=+c;b=a/b;return +((!(b<=.5)?1.0-b:b)*c)}function Xu(a,b,d,e){a=a|0;b=+b;d=d|0;e=e|0;var f=0.0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0.0,r=0,s=0;p=l;l=l+16|0;o=p;n=c[a+4>>2]|0;j=(n+-1|0)/3|0;if((n+-4|0)>>>0<3){c[d+4>>2]=4;c[d>>2]=vw(64)|0;c[e+4>>2]=4;n=vw(64)|0;c[e>>2]=n;PA(o,c[a>>2]|0,3,b,c[d>>2]|0,n)}else{n=vw(j<<3)|0;g=0;i=c[a>>2]|0;f=0.0;while(1){if((g|0)>=(j|0))break;q=+Yu(i);h[n+(g<<3)>>3]=q;g=g+1|0;i=i+48|0;f=q+f}b=f*b;m=0;f=0.0;while(1){if((j|0)<=(m|0))break;f=+h[n+(m<<3)>>3]+f;if(f>=b)break;m=m+1|0}k=m*3|0;g=k+4|0;i=d+4|0;c[i>>2]=g;c[d>>2]=vw(g<<4)|0;g=((j-m|0)*3|0)+1|0;j=e+4|0;c[j>>2]=g;c[e>>2]=vw(g<<4)|0;g=0;while(1){if((g|0)>=(c[i>>2]|0))break;r=(c[d>>2]|0)+(g<<4)|0;s=(c[a>>2]|0)+(g<<4)|0;c[r>>2]=c[s>>2];c[r+4>>2]=c[s+4>>2];c[r+8>>2]=c[s+8>>2];c[r+12>>2]=c[s+12>>2];g=g+1|0}g=g+-4|0;i=0;while(1){if((i|0)>=(c[j>>2]|0))break;s=(c[e>>2]|0)+(i<<4)|0;r=(c[a>>2]|0)+(g<<4)|0;c[s>>2]=c[r>>2];c[s+4>>2]=c[r+4>>2];c[s+8>>2]=c[r+8>>2];c[s+12>>2]=c[r+12>>2];g=g+1|0;i=i+1|0}q=+h[n+(m<<3)>>3];PA(o,(c[a>>2]|0)+(k<<4)|0,3,(b-f+q)/q,(c[d>>2]|0)+(k<<4)|0,c[e>>2]|0);_I(n)}l=p;return}function Yu(a){a=a|0;var b=0.0,c=0.0,d=0.0,e=0.0,f=0.0;e=+h[a+16>>3];d=+h[a>>3]-e;f=+h[a+24>>3];b=+h[a+8>>3]-f;d=+C(+(b*b+d*d));b=+h[a+32>>3];e=e-b;c=+h[a+40>>3];f=f-c;d=+C(+(f*f+e*e))+d;b=b-+h[a+48>>3];c=c-+h[a+56>>3];return +(d+ +C(+(c*c+b*b)))}function Zu(b,d){b=b|0;d=d|0;d=so(d)|0;if((a[(c[d+16>>2]|0)+115>>0]|0)==1)d=yB(b)|0;else d=vB(b,d)|0;return ev(d)|0}function _u(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=+f;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;q=l;l=l+1664|0;m=q+1600|0;n=q+800|0;o=q;p=ww(24)|0;c[p+16>>2]=1;j=((c[e+4>>2]|0)+-1|0)/3|0;h=0;i=p;while(1){if((h|0)>=(j|0))break;k=h*3|0;g=0;while(1){if((g|0)==4)break;r=m+(g<<4)|0;s=(c[e>>2]|0)+(g+k<<4)|0;c[r>>2]=c[s>>2];c[r+4>>2]=c[s+4>>2];c[r+8>>2]=c[s+8>>2];c[r+12>>2]=c[s+12>>2];g=g+1|0}h=h+1|0;i=$u(m,i)|0}g=0;h=0;i=p;while(1){if(!i){h=p;g=p;break}j=c[i+16>>2]|0;k=n+(g<<4)|0;e=o+(g<<4)|0;av(h,i,j,k,e,f);g=g+1|0;if(!((g|0)==50|(j|0)==0)){h=i;i=j;continue}bv(a,b,d,g,n,o);c[n>>2]=c[k>>2];c[n+4>>2]=c[k+4>>2];c[n+8>>2]=c[k+8>>2];c[n+12>>2]=c[k+12>>2];c[o>>2]=c[e>>2];c[o+4>>2]=c[e+4>>2];c[o+8>>2]=c[e+8>>2];c[o+12>>2]=c[e+12>>2];h=i;g=1;i=j}while(1){if(!h)break;s=c[h+16>>2]|0;_I(g);h=s;g=s}l=q;return}function $u(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;g=l;l=l+144|0;f=g+128|0;d=g+64|0;e=g;if(!(fu(a)|0)){PA(f,a,3,.5,d,e);d=$u(e,$u(d,b)|0)|0}else{d=b+16|0;if((c[d>>2]|0)==1){c[d>>2]=0;c[b>>2]=c[a>>2];c[b+4>>2]=c[a+4>>2];c[b+8>>2]=c[a+8>>2];c[b+12>>2]=c[a+12>>2]}d=a+48|0;c[f>>2]=c[d>>2];c[f+4>>2]=c[d+4>>2];c[f+8>>2]=c[d+8>>2];c[f+12>>2]=c[d+12>>2];d=dv(f,b)|0}l=g;return d|0}function av(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=+g;var i=0.0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0.0,t=0.0;r=l;l=l+96|0;n=r+80|0;m=r+64|0;k=r+48|0;o=r+32|0;p=r+16|0;q=r;c[o>>2]=c[b>>2];c[o+4>>2]=c[b+4>>2];c[o+8>>2]=c[b+8>>2];c[o+12>>2]=c[b+12>>2];do if(a){c[p>>2]=c[a>>2];c[p+4>>2]=c[a+4>>2];c[p+8>>2]=c[a+8>>2];c[p+12>>2]=c[a+12>>2];if(!d){i=+h[o>>3];h[q>>3]=i*2.0-+h[p>>3];j=+h[o+8>>3];h[q+8>>3]=j*2.0-+h[p+8>>3];break}else{c[q>>2]=c[d>>2];c[q+4>>2]=c[d+4>>2];c[q+8>>2]=c[d+8>>2];c[q+12>>2]=c[d+12>>2];i=+h[o>>3];j=+h[o+8>>3];break}}else{c[q>>2]=c[d>>2];c[q+4>>2]=c[d+4>>2];c[q+8>>2]=c[d+8>>2];c[q+12>>2]=c[d+12>>2];i=+h[o>>3];h[p>>3]=i*2.0-+h[q>>3];j=+h[o+8>>3];h[p+8>>3]=j*2.0-+h[q+8>>3]}while(0);c[k>>2]=c[p>>2];c[k+4>>2]=c[p+4>>2];c[k+8>>2]=c[p+8>>2];c[k+12>>2]=c[p+12>>2];c[m>>2]=c[o>>2];c[m+4>>2]=c[o+4>>2];c[m+8>>2]=c[o+8>>2];c[m+12>>2]=c[o+12>>2];c[n>>2]=c[q>>2];c[n+4>>2]=c[q+4>>2];c[n+8>>2]=c[q+8>>2];c[n+12>>2]=c[q+12>>2];t=+cv(k,m,n);s=+E(+t)*g;g=+F(+t)*g;h[e>>3]=i+s;h[e+8>>3]=j+g;h[f>>3]=i-s;h[f+8>>3]=j-g;l=r;return}function bv(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,l=0;i=e<<1;j=c[d>>2]|0;h=0;k=0;while(1){if((h|0)>=(j|0))break;l=(c[(c[b>>2]|0)+(h<<2)>>2]|0)+k|0;h=h+1|0;k=l}l=j+1|0;c[d>>2]=l;l=yw(c[b>>2]|0,l<<2)|0;c[b>>2]=l;c[l+(h<<2)>>2]=i;c[a>>2]=yw(c[a>>2]|0,k+i<<4)|0;b=i+-1+k|0;h=0;while(1){if((h|0)>=(e|0))break;l=(c[a>>2]|0)+(h+k<<4)|0;j=f+(h<<4)|0;c[l>>2]=c[j>>2];c[l+4>>2]=c[j+4>>2];c[l+8>>2]=c[j+8>>2];c[l+12>>2]=c[j+12>>2];l=(c[a>>2]|0)+(b-h<<4)|0;j=g+(h<<4)|0;c[l>>2]=c[j>>2];c[l+4>>2]=c[j+4>>2];c[l+8>>2]=c[j+8>>2];c[l+12>>2]=c[j+12>>2];h=h+1|0}return}function cv(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0,f=0.0;f=+h[b+8>>3];d=+h[b>>3];e=+K(+(+h[c+8>>3]-f),+(+h[c>>3]-d));d=+K(+(+h[a+8>>3]-f),+(+h[a>>3]-d));e=e-d;return +((e>0.0?e+-6.283185307179586:e)*.5+d)}function dv(a,b){a=a|0;b=b|0;var d=0;d=ww(24)|0;c[d+16>>2]=0;c[d>>2]=c[a>>2];c[d+4>>2]=c[a+4>>2];c[d+8>>2]=c[a+8>>2];c[d+12>>2]=c[a+12>>2];c[b+16>>2]=d;return d|0}function ev(b){b=b|0;var c=0,d=0,e=0,f=0,g=0;c=b;f=b;a:while(1){e=0;while(1){d=c;c=c+1|0;d=a[d>>0]|0;if(!(d<<24>>24))break a;if(e<<24>>24){g=5;break}if(d<<24>>24!=92)break;else e=1}b:do if((g|0)==5){g=0;switch(d<<24>>24|0){case 114:{d=13;break b}case 108:case 110:{d=10;break b}default:break b}}while(0);a[f>>0]=d;f=f+1|0}a[f>>0]=0;return b|0}function fv(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;e=c[b>>2]|0;while(1){g=a[e>>0]|0;if(!(g<<24>>24)){f=0;break}f=g<<24>>24;if(!(g<<24>>24==44|(XJ(f)|0)!=0)){h=5;break}e=e+1|0}a:do if((h|0)==5){switch(f|0){case 0:{f=0;break a}case 41:case 40:{e=e+1|0;break a}default:{}}h=d+4|0;i=d+8|0;while(1){if((gv(g<<24>>24)|0)<<24>>24){f=1;break a}f=c[h>>2]|0;if(f>>>0>=(c[i>>2]|0)>>>0){dm(d,1)|0;f=c[h>>2]|0}c[h>>2]=f+1;a[f>>0]=g;f=e+1|0;e=f;g=a[f>>0]|0}}while(0);c[b>>2]=e;return f|0}function gv(a){a=a|0;switch(a|0){case 0:case 44:case 41:case 40:{a=1;break}default:a=0}return a|0}function hv(a,b){a=a|0;b=b|0;return iv(c[a>>2]|0,c[a+160>>2]|0,c[a+156>>2]|0,b)|0}function iv(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+160|0;k=o+20|0;m=o+16|0;n=o;c[k>>2]=0;c[m>>2]=0;cm(n,128,o+24|0);fm(n,f)|0;g=n+4|0;f=c[g>>2]|0;if(f>>>0>=(c[n+8>>2]|0)>>>0){dm(n,1)|0;f=c[g>>2]|0}a[f>>0]=0;h=c[n>>2]|0;c[g>>2]=h;i=b+300|0;j=b+296|0;f=0;g=h;a:while(1){if(f){f=1;break}f=FL(g,c[i>>2]|0,k)|0;if(!f){f=0;break}g=FL(f,c[j>>2]|0,m)|0;h=(g|0)!=0;if(h)f=FL(0,c[j>>2]|0,m)|0;else f=0;switch(((f|0)!=0&1)+(h&1)&3){case 2:{g=jv(b,g,0)|0;f=jv(b,f,e)|0;h=(g|0)>(f|0);f=(f&g|0)>-1&(((h?g:f)|0)>=(d|0)&((h?f:g)|0)<=(d|0));g=0;continue a}case 1:{f=(jv(b,g,d)|0)==(d|0);g=0;continue a}default:{f=0;g=0;continue a}}}gm(n);l=o;return f|0}function jv(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;h=a[d>>0]|0;if(!(h<<24>>24==97?(xJ(d,85419)|0)==0:0))f=3;a:do if((f|0)==3){if((kv(d)|0)<<24>>24){e=rM(d)|0;break}g=c[b+308>>2]|0;if(!g)e=-1;else{b=c[b+312>>2]|0;e=1;while(1){if((e|0)>(b|0)){e=-1;break a}f=c[g+(e<<2)>>2]|0;if(h<<24>>24==(a[f>>0]|0)?(xJ(d,f)|0)==0:0)break a;e=e+1|0}}}while(0);return e|0}function kv(b){b=b|0;var c=0;while(1){c=a[b>>0]|0;if(!(c<<24>>24)){b=1;break}if(((c&255)+-48|0)>>>0<10)b=b+1|0;else{b=0;break}}return b|0}function lv(a,b){a=a|0;b=b|0;if((+h[a+16>>3]>=+h[b>>3]?+h[b+16>>3]>=+h[a>>3]:0)?+h[a+24>>3]>=+h[b+8>>3]:0)a=+h[b+24>>3]>=+h[a+8>>3]&1;else a=0;return a|0}function mv(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0;a:do if((c[b+156>>2]|0)>=2?(f=FA(e,c[42211]|0,174181)|0,(hv(b,f)|0)<<24>>24==0):0)if(!(a[f>>0]|0))if(!(Um(d,e)|0))f=1;else{f=Um(d,e)|0;while(1){if(!f){f=0;break a}g=FA(f,c[42234]|0,174181)|0;if(!(a[g>>0]|0)){f=1;break a}if((hv(b,g)|0)<<24>>24){f=1;break a}f=Vm(d,f,e)|0}}else f=0;else f=1;while(0);return f|0}function nv(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=l;l=l+64|0;e=d+32|0;f=d;a=(c[a+16>>2]|0)+48|0;c[f>>2]=c[a>>2];c[f+4>>2]=c[a+4>>2];c[f+8>>2]=c[a+8>>2];c[f+12>>2]=c[a+12>>2];c[f+16>>2]=c[a+16>>2];c[f+20>>2]=c[a+20>>2];c[f+24>>2]=c[a+24>>2];c[f+28>>2]=c[a+28>>2];c[e>>2]=c[b>>2];c[e+4>>2]=c[b+4>>2];c[e+8>>2]=c[b+8>>2];c[e+12>>2]=c[b+12>>2];c[e+16>>2]=c[b+16>>2];c[e+20>>2]=c[b+20>>2];c[e+24>>2]=c[b+24>>2];c[e+28>>2]=c[b+28>>2];b=(lv(f,e)|0)&255;l=d;return b|0}function ov(a,d){a=a|0;d=d|0;var f=0.0,g=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0.0,r=0,s=0,t=0,u=0.0,v=0.0;r=c[a+152>>2]|0;s=Vt(a)|0;c[s+4>>2]=2;c[s+8>>2]=d;c[s+12>>2]=8;if(r&16777216|0){if((e[(c[(ro(d)|0)+16>>2]|0)+178>>1]|0)>2){f=+h[(c[(c[d+16>>2]|0)+132>>2]|0)+16>>3]*72.0;f=+(~~(f+(f>=0.0?.5:-.5))|0)}else f=0.0;h[s+168>>3]=f}k=d+16|0;qv(a,c[(c[k>>2]|0)+104>>2]|0,d);do if(r&4259840|0){if((c[s+208>>2]|0)==0?(b[s+260>>1]&1)==0:0)break;p=By(d)|0;l=c[k>>2]|0;f=+h[l+16>>3];q=+h[l+24>>3];l=rv(d)|0;a:do if((p|2|0)==3){n=c[(c[k>>2]|0)+12>>2]|0;if(!((sv(n)|0)<<24>>24))g=0;else g=(c[n+4>>2]|l|0)!=0;if(!((r&524288|0)==0|((n|0)==0|g))){i=n+8|0;o=c[i>>2]|0;o=(o|0)<3?1:o;j=n+4|0;m=c[j>>2]|0;m=(m|0)>1?m:1;p=c[n+44>>2]|0;g=Im(d,87739)|0;if(!g)g=0;else g=rM(g)|0;g=(g+-4|0)>>>0>56?20:g;if(!(c[j>>2]|l)){c[s+264>>2]=0;i=vw(32)|0;g=c[k>>2]|0;v=+h[g+88>>3];h[i>>3]=f-v;u=+h[g+80>>3]*.5;h[i+8>>3]=q-u;h[i+16>>3]=v+f;h[i+24>>3]=u+q;g=2;break}i=c[i>>2]|0;if(((i|0)<3?+h[n+32>>3]==0.0:0)?+h[n+24>>3]==0.0:0){i=s+264|0;if(c[n>>2]|0){c[i>>2]=1;i=vw(32)|0;h[i>>3]=f;h[i+8>>3]=q;g=(m<<1)+-1|0;h[i+16>>3]=+h[p+(g<<4)>>3]+f;h[i+24>>3]=+h[p+(g<<4)+8>>3]+q;g=2;break}c[i>>2]=2;i=(m<<1)+-1|0;i=tv(+h[p+(i<<4)>>3],+h[p+(i<<4)+8>>3],g)|0;j=0;while(1){if((j|0)>=(g|0))break a;p=i+(j<<4)|0;h[p>>3]=+h[p>>3]+f;p=i+(j<<4)+8|0;h[p>>3]=+h[p>>3]+q;j=j+1|0}}m=O(i,m+-1|0)|0;c[s+264>>2]=2;if((i|0)<(g|0)){i=vw(o<<4)|0;g=0;while(1){if((g|0)>=(o|0)){g=o;break a}n=g+m|0;h[i+(g<<4)>>3]=+h[p+(n<<4)>>3]+f;h[i+(g<<4)+8>>3]=+h[p+(n<<4)+8>>3]+q;g=g+1|0}}else{l=(i|0)/(g|0)|0;i=vw(g<<4)|0;j=0;k=0;while(1){if((j|0)>=(g|0))break a;o=k+m|0;h[i+(j<<4)>>3]=+h[p+(o<<4)>>3]+f;h[i+(j<<4)+8>>3]=+h[p+(o<<4)+8>>3]+q;j=j+1|0;k=k+l|0}}}else t=31}else t=31;while(0);if((t|0)==31){c[s+264>>2]=0;i=vw(32)|0;g=c[k>>2]|0;h[i>>3]=f-+h[g+88>>3];v=+h[g+80>>3]*.5;h[i+8>>3]=q-v;h[i+16>>3]=+h[g+96>>3]+f;h[i+24>>3]=v+q;g=2}if(!(r&8192))fD(a,i,i,g)|0;c[s+272>>2]=i;c[s+268>>2]=g}while(0);ZE(Im(d,85048)|0);sD(a,d);return}function pv(a){a=a|0;tD(a);Wt(a);return}function qv(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+144|0;j=m;f=Im(e,96264)|0;i=Im(e,96229)|0;k=Im(e,85204)|0;cm(j,128,m+16|0);if(!d)h=0;else h=c[d>>2]|0;if(!((f|0)!=0?(a[f>>0]|0)!=0:0))f=Im(e,96269)|0;g=Yt(b,e,j)|0;if(!i)d=0;else d=Zu(i,e)|0;Xt(b,h,f,d,k,g,e)|0;_I(d);gm(j);l=m;return}function rv(b){b=b|0;var d=0,e=0;b=GA(b,c[42201]|0,174181)|0;a:do if(!(a[b>>0]|0))b=0;else{Du(b)|0;b=0;d=168408;while(1){e=c[d>>2]|0;if(!e)break a;e=(xJ(e,95923)|0)==0;b=e?1:b;d=d+4|0}}while(0);return b|0}function sv(a){a=a|0;var b=0.0;if(((c[a+8>>2]|0)==4?(b=+h[a+16>>3],((~~(b+(b>=0.0?.5:-.5))|0)%90|0|0)==0):0)?+h[a+24>>3]==0.0:0)a=+h[a+32>>3]==0.0&1;else a=0;return a|0}function tv(a,b,c){a=+a;b=+b;c=c|0;var d=0.0,e=0,f=0.0,g=0;f=6.283185307179586/+(c|0);g=vw(c<<4)|0;d=0.0;e=0;while(1){if((e|0)>=(c|0))break;h[g+(e<<4)>>3]=+E(+d)*a;h[g+(e<<4)+8>>3]=+F(+d)*b;d=d+f;e=e+1|0}return g|0}function uv(b,d){b=b|0;d=d|0;var e=0;a:do if((c[b+156>>2]|0)>=2?(e=FA(d,ym(d,0,86583,0)|0,174181)|0,(hv(b,e)|0)<<24>>24==0):0)if(!(a[e>>0]|0)){e=co(d)|0;while(1){if(!e){e=0;break a}if((mv(b,d,e)|0)<<24>>24){e=1;break a}e=eo(d,e)|0}}else e=0;else e=1;while(0);return e|0}function vv(a,b){a=a|0;b=b|0;var d=0;d=Vt(a)|0;c[d+4>>2]=1;c[d+8>>2]=b;c[d+12>>2]=1;qv(a,c[(c[b+16>>2]|0)+12>>2]|0,b);mD(a,b);return}function wv(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0;b=Im(b,86479)|0;a:do if((b|0)!=0?(a[b>>0]|0)!=0:0){Du(b)|0;e=168408;b=0;while(1){while(1){f=c[e>>2]|0;if(!f){e=168408;break a}if(!(xJ(f,95923)|0)){g=10;break}if(!(xJ(f,91378)|0)){f=e;g=12;break}if(!(xJ(f,91385)|0)){f=e;g=14;break}if(!(xJ(f,91360)|0)){f=e;g=16;break}e=e+4|0}if((g|0)==10){e=e+4|0;b=b|1;continue}else if((g|0)==12){while(1){h=f;f=f+4|0;g=c[f>>2]|0;c[h>>2]=g;if(!g)break;else g=12}b=b|3;continue}else if((g|0)==14){while(1){g=f;f=f+4|0;h=c[f>>2]|0;c[g>>2]=h;if(!h)break;else g=14}b=b|64;continue}else if((g|0)==16){while(1){g=f;f=f+4|0;h=c[f>>2]|0;c[g>>2]=h;if(!h)break;else g=16}b=b|4;continue}}}else{e=0;b=0}while(0);c[d>>2]=b;return e|0}function xv(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,h=0,i=0,j=0,k=0,m=0;k=l;l=l+16|0;i=k;j=k+4|0;c[j>>2]=0;m=($t(b,0,j)|0)==0;j=c[j>>2]|0;if((m?(f=c[j>>2]|0,(f|0)>=2):0)?(h=j+8|0,(c[c[h>>2]>>2]|0)!=0):0){if((f|0)>2)_l(0,85446,i)|0;m=ww((rJ(b)|0)+1|0)|0;c[d>>2]=m;xK(m,c[c[h>>2]>>2]|0)|0;if(!(c[(c[h>>2]|0)+12>>2]|0))c[d+4>>2]=0;else{m=c[d>>2]|0;m=m+((rJ(m)|0)+1)|0;c[d+4>>2]=m;xK(m,c[(c[h>>2]|0)+12>>2]|0)|0}b=c[h>>2]|0;do if(!(a[b+8>>0]|0))if(!(a[b+20>>0]|0)){g[e>>2]=0.0;break}else{g[e>>2]=1.0-+g[b+16>>2];break}else c[e>>2]=c[b+4>>2];while(0);au(j);b=1}else{c[d>>2]=0;au(j);b=0}l=k;return b|0}function yv(a,b){a=a|0;b=b|0;nD(a,b);Wt(a);return}function zv(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,i=0,j=0,k=0.0,m=0.0,n=0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0;x=l;l=l+96|0;p=x+48|0;s=x+16|0;w=x+8|0;v=x;t=x+80|0;c[t>>2]=1e3;f=ww(16e3)|0;u=a+256|0;e=1;j=1;i=0;q=0;r=c[b+8>>2]|0;while(1){if((q|0)>=(c[b>>2]|0))break;d=c[r>>2]|0;a:do switch(d|0){case 1:case 0:{n=r+80|0;c[s>>2]=c[n>>2];c[s+4>>2]=c[n+4>>2];c[s+8>>2]=c[n+8>>2];c[s+12>>2]=c[n+12>>2];c[s+16>>2]=c[n+16>>2];c[s+20>>2]=c[n+20>>2];c[s+24>>2]=c[n+24>>2];c[s+28>>2]=c[n+28>>2];c[p>>2]=c[u>>2];c[p+4>>2]=c[u+4>>2];c[p+8>>2]=c[u+8>>2];c[p+12>>2]=c[u+12>>2];c[p+16>>2]=c[u+16>>2];c[p+20>>2]=c[u+20>>2];c[p+24>>2]=c[u+24>>2];c[p+28>>2]=c[u+28>>2];if(!(lv(s,p)|0))d=j;else{z=r+8|0;A=r+24|0;h[f>>3]=+h[z>>3]-+h[A>>3];n=r+16|0;y=r+32|0;h[f+8>>3]=+h[n>>3]-+h[y>>3];h[f+16>>3]=+h[A>>3]+ +h[z>>3];h[f+24>>3]=+h[y>>3]+ +h[n>>3];GD(a,f,2,(d|0)==0?j:0);d=j}break}case 3:case 2:{A=r+80|0;c[s>>2]=c[A>>2];c[s+4>>2]=c[A+4>>2];c[s+8>>2]=c[A+8>>2];c[s+12>>2]=c[A+12>>2];c[s+16>>2]=c[A+16>>2];c[s+20>>2]=c[A+20>>2];c[s+24>>2]=c[A+24>>2];c[s+28>>2]=c[A+28>>2];c[p>>2]=c[u>>2];c[p+4>>2]=c[u+4>>2];c[p+8>>2]=c[u+8>>2];c[p+12>>2]=c[u+12>>2];c[p+16>>2]=c[u+16>>2];c[p+20>>2]=c[u+20>>2];c[p+24>>2]=c[u+24>>2];c[p+28>>2]=c[u+28>>2];if(!(lv(s,p)|0))d=j;else{d=r+8|0;f=Av(f,t,c[d+4>>2]|0,c[d>>2]|0)|0;HD(a,f,c[d>>2]|0,(c[r>>2]|0)==2?j:0);d=j}break}case 5:case 4:{A=r+80|0;c[s>>2]=c[A>>2];c[s+4>>2]=c[A+4>>2];c[s+8>>2]=c[A+8>>2];c[s+12>>2]=c[A+12>>2];c[s+16>>2]=c[A+16>>2];c[s+20>>2]=c[A+20>>2];c[s+24>>2]=c[A+24>>2];c[s+28>>2]=c[A+28>>2];c[p>>2]=c[u>>2];c[p+4>>2]=c[u+4>>2];c[p+8>>2]=c[u+8>>2];c[p+12>>2]=c[u+12>>2];c[p+16>>2]=c[u+16>>2];c[p+20>>2]=c[u+20>>2];c[p+24>>2]=c[u+24>>2];c[p+28>>2]=c[u+28>>2];if(!(lv(s,p)|0))d=j;else{d=r+8|0;f=Av(f,t,c[d+4>>2]|0,c[d>>2]|0)|0;JD(a,f,c[d>>2]|0,0,0,(c[r>>2]|0)==4?j&255:0);d=j}break}case 6:{A=r+80|0;c[s>>2]=c[A>>2];c[s+4>>2]=c[A+4>>2];c[s+8>>2]=c[A+8>>2];c[s+12>>2]=c[A+12>>2];c[s+16>>2]=c[A+16>>2];c[s+20>>2]=c[A+20>>2];c[s+24>>2]=c[A+24>>2];c[s+28>>2]=c[A+28>>2];c[p>>2]=c[u>>2];c[p+4>>2]=c[u+4>>2];c[p+8>>2]=c[u+8>>2];c[p+12>>2]=c[u+12>>2];c[p+16>>2]=c[u+16>>2];c[p+20>>2]=c[u+20>>2];c[p+24>>2]=c[u+24>>2];c[p+28>>2]=c[u+28>>2];if(!(lv(s,p)|0))d=j;else{d=r+8|0;f=Av(f,t,c[d+4>>2]|0,c[d>>2]|0)|0;KD(a,f,c[d>>2]|0);d=j}break}case 7:{A=r+80|0;c[s>>2]=c[A>>2];c[s+4>>2]=c[A+4>>2];c[s+8>>2]=c[A+8>>2];c[s+12>>2]=c[A+12>>2];c[s+16>>2]=c[A+16>>2];c[s+20>>2]=c[A+20>>2];c[s+24>>2]=c[A+24>>2];c[s+28>>2]=c[A+28>>2];c[p>>2]=c[u>>2];c[p+4>>2]=c[u+4>>2];c[p+8>>2]=c[u+8>>2];c[p+12>>2]=c[u+12>>2];c[p+16>>2]=c[u+16>>2];c[p+20>>2]=c[u+20>>2];c[p+24>>2]=c[u+24>>2];c[p+28>>2]=c[u+28>>2];if(!(lv(s,p)|0))d=j;else{h[f>>3]=+h[r+8>>3];h[f+8>>3]=+h[r+16>>3];d=c[r+112>>2]|0;c[p>>2]=c[f>>2];c[p+4>>2]=c[f+4>>2];c[p+8>>2]=c[f+8>>2];c[p+12>>2]=c[f+12>>2];AD(a,p,d);d=j}break}case 8:{DD(a,c[r+8>>2]|0);d=1;break}case 9:{BD(a,c[r+8>>2]|0);d=1;break}case 13:{if((c[r+8>>2]|0)!=2){d=r+16|0;z=c[d+36>>2]|0;A=c[z+12>>2]|0;o=+g[z+8>>2];d=~~(+K(+(+h[r+40>>3]-+h[r+24>>3]),+(+h[r+32>>3]-+h[d>>3]))*57.29577951308232);DD(a,c[z+4>>2]|0);ED(a,A,d,o);d=2;break a}A=c[r+68>>2]|0;j=c[A+4>>2]|0;n=c[A+12>>2]|0;o=+g[A+8>>2];k=+h[r+40>>3];m=+h[r+16>>3];if(k==m?+h[r+48>>3]==+h[r+24>>3]:0)d=0;else d=~~(+H(+((m-k)/+h[r+32>>3]))*57.29577951308232);DD(a,j);ED(a,n,d,o);d=3;break}case 14:{_l(0,85512,v)|0;d=j;break}case 12:{if(!e){e=0;d=j}else{_l(0,85552,w)|0;e=0;d=j}break}case 11:{Du(c[r+8>>2]|0)|0;FD(a,168408);i=168408;d=j;break}default:d=j}while(0);j=d;q=q+1|0;r=r+120|0}if(i|0)FD(a,c[(c[a>>2]|0)+336>>2]|0);_I(f);l=x;return}function Av(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;g=c[b>>2]|0;f=g<<1;f=(f|0)>(e|0)?f:e;if((g|0)<(e|0)){a=yw(a,f<<4)|0;c[b>>2]=f}b=0;while(1){if((b|0)>=(e|0))break;h[a+(b<<4)>>3]=+h[d+(b*24|0)>>3];h[a+(b<<4)+8>>3]=+h[d+(b*24|0)+8>>3];b=b+1|0}return a|0}function Bv(a,b){a=a|0;b=b|0;var d=0;d=c[b>>2]|0;c[a>>2]=c[b+4>>2];c[a+4>>2]=d;return}function Cv(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;g=d+16|0;f=1;while(1){d=c[g>>2]|0;if((f|0)>(c[d+180>>2]|0))break;e=c[(c[d+184>>2]|0)+(f<<2)>>2]|0;Cv(b,e);d=Im(e,122540)|0;if(d|0?a[d>>0]|0:0)BD(b,d);d=Im(e,122531)|0;if(d|0?a[d>>0]|0:0)BD(b,d);d=Im(e,85423)|0;if(d|0?a[d>>0]|0:0)BD(b,d);d=Im(e,86469)|0;if(d|0?a[d>>0]|0:0)DD(b,d);d=Im(e,86503)|0;if(d|0?a[d>>0]|0:0)BD(b,d);f=f+1|0}return}function Dv(a){a=a|0;var b=0,d=0,e=0;b=c[42172]|0;if(!b){b=Ql(19684,c[4345]|0)|0;c[42172]=b}if(!(bb[c[b>>2]&31](b,a,4)|0)){d=c[42172]|0;e=c[d>>2]|0;b=GL(a)|0;bb[e&31](d,b,1)|0;b=1}else b=0;return b|0}function Ev(a,b,c){a=a|0;b=b|0;c=c|0;_I(b);return}function Fv(a){a=a|0;var b=0;b=c[42173]|0;if(!a){if((b|0)>0?(b=b+-1|0,c[42173]=b,(b|0)==0):0){bL(1,c[42174]|0)|0;_I(c[42174]|0)}}else{c[42173]=b+1;if(!b){c[42174]=GL(bL(1,0)|0)|0;bL(1,134865)|0}}return}function Gv(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0.0;u=l;l=l+96|0;r=u+72|0;q=u+56|0;p=u+48|0;t=u+32|0;s=u+24|0;e=u+8|0;d=u;if(0)xA();do if((No(b,122277,0,1)|0)!=0?(o=b+16|0,(c[(c[o>>2]|0)+8>>2]|0)!=0):0){Hv(b);Iv(a,b);Jv(a,b);Fv(1);j=a+56|0;k=a+184|0;m=a+192|0;n=a+28|0;i=Cr(a)|0;a:while(1){if(!i){g=33;break}d=c[j>>2]|0;if(!d){c[i+20>>2]=0;d=0}else{c[i+20>>2]=c[d+8>>2];d=c[d+12>>2]|0}c[i+24>>2]=d;c[i+12>>2]=a;c[i+28>>2]=c[k>>2];c[i+620>>2]=24748;c[i+624>>2]=14;if(!(c[(c[o>>2]|0)+8>>2]|0)){g=13;break}e=i+52|0;g=bD(i,c[e>>2]|0)|0;c[i+56>>2]=g;switch(g|0){case 999:{g=16;break a}case 21:{d=1;break}case 24:{d=520;break}default:d=Kv(b)|0}f=i+152|0;c[f>>2]=c[f>>2]|d;d=c[m>>2]|0;do if(!d)g=24;else{if(c[d+152>>2]&32|0?(xJ(c[e>>2]|0,c[d+52>>2]|0)|0)==0:0){d=c[42175]|0;if(!d){g=27;break}c[d+8>>2]=i;c[i+36>>2]=c[d+36>>2];g=29;break}dD(d);c[m>>2]=0;c[n>>2]=0;g=24}while(0);if((g|0)==24){c[42175]=0;g=27}if((g|0)==27?(g=0,(cD(i)|0)==0):0){c[m>>2]=i;g=29}if((g|0)==29){c[i+8>>2]=0;c[i+104>>2]=24860;Lv(i);Mv(i);Nv(i,b);Ov(i,b);Pv(i,b);if(!(c[f>>2]&128))gu(i,b);c[42175]=i}i=Dr(a)|0}if((g|0)==13){_l(1,85710,s)|0;Fv(0);if(!0){d=-1;break}d=c[13918]|0;s=Dn(b)|0;v=+yA();c[t>>2]=s;h[t+8>>3]=v;zL(d,85681,t)|0;d=-1;break}else if((g|0)==16){c[p>>2]=c[e>>2];_l(1,85731,p)|0;Fv(0);if(!0){d=-1;break}d=c[13918]|0;t=Dn(b)|0;v=+yA();c[q>>2]=t;h[q+8>>3]=v;zL(d,85681,q)|0;d=-1;break}else if((g|0)==33){Fv(0);if(!0){d=0;break}d=c[13918]|0;t=Dn(b)|0;v=+yA();c[r>>2]=t;h[r+8>>3]=v;zL(d,85681,r)|0;d=0;break}}else g=5;while(0);if((g|0)==5){_l(1,85633,d)|0;if(!0)d=-1;else{d=c[13918]|0;t=Dn(b)|0;v=+yA();c[e>>2]=t;h[e+8>>3]=v;zL(d,85681,e)|0;d=-1}}l=u;return d|0}function Hv(a){a=a|0;var b=0;b=co(a)|0;while(1){if(!b)break;Uv(a,b);b=eo(a,b)|0}return}function Iv(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0.0;o=l;l=l+32|0;k=o+24|0;f=o+16|0;j=o+8|0;n=o;c[b+168>>2]=d;g=b+293|0;a[g>>0]=0;e=Im(d,90530)|0;if(e|0?(c[f>>2]=j,c[f+4>>2]=n,i=cM(e,90537,f)|0,(i|0)>0):0){p=+h[j>>3]*72.0;e=b+208|0;h[e>>3]=p;h[b+200>>3]=p;if((i|0)!=1)h[e>>3]=+h[n>>3]*72.0;a[g>>0]=1}f=b+292|0;a[f>>0]=0;e=Im(d,86133)|0;if(e|0?(c[k>>2]=j,c[k+4>>2]=n,m=cM(e,90537,k)|0,(m|0)>0):0){p=+h[j>>3]*72.0;e=b+224|0;h[e>>3]=p;h[b+216>>3]=p;if((m|0)!=1)h[e>>3]=+h[n>>3]*72.0;a[f>>0]=1}e=b+294|0;a[e>>0]=0;f=b+232|0;g=d+16|0;n=(c[(c[g>>2]|0)+8>>2]|0)+48|0;c[f>>2]=c[n>>2];c[f+4>>2]=c[n+4>>2];c[f+8>>2]=c[n+8>>2];c[f+12>>2]=c[n+12>>2];f=c[(c[g>>2]|0)+8>>2]|0;if(+h[f+48>>3]>.001?+h[f+56>>3]>.001:0)a[e>>0]=1;c[b+288>>2]=a[f+81>>0]|0?90:0;e=b+196|0;c[e>>2]=86137;f=Im(d,86140)|0;if(f|0?a[f>>0]|0:0)c[e>>2]=f;n=b+256|0;m=(c[g>>2]|0)+16|0;c[n>>2]=c[m>>2];c[n+4>>2]=c[m+4>>2];c[n+8>>2]=c[m+8>>2];c[n+12>>2]=c[m+12>>2];c[n+16>>2]=c[m+16>>2];c[n+20>>2]=c[m+20>>2];c[n+24>>2]=c[m+24>>2];c[n+28>>2]=c[m+28>>2];c[42185]=ym(d,0,86535,0)|0;c[42186]=ym(d,0,86520,0)|0;c[b+320>>2]=GA(0,c[42195]|0,93027)|0;h[b+328>>3]=+EA(0,c[42194]|0,14.0,1.0);c[b+336>>2]=19720;c[b+188>>2]=Dn(d)|0;l=o;return}function Jv(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;e=b+304|0;f=c[e>>2]|0;if(f|0){_I(f);c[e>>2]=0}f=b+308|0;e=c[f>>2]|0;if(e|0){_I(e);c[f>>2]=0}g=b+316|0;e=c[g>>2]|0;if(e|0){_I(e);c[g>>2]=0}e=Im(d,85884)|0;if(e){c[b+312>>2]=Sv(b,d,e)|0;e=Im(d,85891)|0;if(e|0?a[e>>0]|0:0)c[g>>2]=Tv(b,e)|0}else{c[f>>2]=0;c[b+312>>2]=1}return}function Kv(b){b=b|0;b=Im(b,85852)|0;a:do if(!b)b=0;else switch(a[b>>0]|0){case 110:{if(!(xJ(b+1|0,85864)|0))b=1;else{b=0;break a}break}case 101:{if(!(xJ(b+1|0,85874)|0))b=16;else{b=0;break a}break}default:{b=0;break a}}while(0);return b|0}function Lv(b){b=b|0;var d=0.0,e=0;e=c[b>>2]|0;if(!(a[e+292>>0]|0)){if((c[b+56>>2]|0)==300)d=+h[(c[b+68>>2]|0)+8>>3];else d=4.0;h[b+248>>3]=d;h[b+240>>3]=d}else{b=b+240|0;e=e+216|0;c[b>>2]=c[e>>2];c[b+4>>2]=c[e+4>>2];c[b+8>>2]=c[e+8>>2];c[b+12>>2]=c[e+12>>2]}return}function Mv(b){b=b|0;var d=0;d=c[b>>2]|0;a:do if(!(a[d+293>>0]|0))switch(c[b+56>>2]|0){case 300:{d=b+416|0;b=(c[b+84>>2]|0)+8|0;c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];break a}case 30:case 21:case 22:case 4:case 3:case 2:{h[b+424>>3]=36.0;h[b+416>>3]=36.0;break a}default:{d=b+416|0;c[d>>2]=0;c[d+4>>2]=0;c[d+8>>2]=0;c[d+12>>2]=0;break a}}else{b=b+416|0;d=d+200|0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2]}while(0);return}function Nv(b,d){b=b|0;d=d|0;var e=0.0,f=0;f=c[(c[b>>2]|0)+192>>2]|0;e=+h[(c[(c[d+16>>2]|0)+8>>2]|0)+24>>3];do if(!(e!=0.0)){if(f|0?a[f+128>>0]|0:0){b=b+432|0;f=f+112|0;c[b>>2]=c[f>>2];c[b+4>>2]=c[f+4>>2];c[b+8>>2]=c[f+8>>2];c[b+12>>2]=c[f+12>>2];break}d=b+432|0;if((c[b+56>>2]|0)==300){b=(c[b+84>>2]|0)+40|0;c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];break}else{h[b+440>>3]=96.0;h[d>>3]=96.0;break}}else{h[b+440>>3]=e;h[b+432>>3]=e}while(0);return}function Ov(b,d){b=b|0;d=d|0;var e=0.0,f=0.0,g=0,i=0.0,j=0.0,k=0.0,m=0,n=0,o=0.0,p=0.0,q=0.0,r=0.0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0;A=l;l=l+112|0;t=A+80|0;u=A+56|0;s=A+40|0;v=A+32|0;w=A+24|0;x=A+16|0;y=A+8|0;z=A;m=c[b>>2]|0;o=+h[m+272>>3];q=+h[m+280>>3];p=+h[m+256>>3];r=+h[m+264>>3];f=+h[b+240>>3];e=p-f;h[b+208>>3]=e;i=+h[b+248>>3];j=r-i;h[b+216>>3]=j;f=f+o;h[b+224>>3]=f;i=i+q;h[b+232>>3]=i;e=f-e;j=i-j;h[x>>3]=1.0;g=c[(c[d+16>>2]|0)+8>>2]|0;i=+h[g+64>>3];do if(i>.001?(k=+h[g+72>>3],k>.001):0){e=e==0.0?i:e;f=j==0.0?k:j;if(!(i<e|k<f)?!(k>f&(i>e&(a[g+80>>0]|0)!=0)):0){k=e;j=f;i=1.0;break}n=i/e<k/f;i=(n?i:k)/(n?e:f);h[x>>3]=i;k=e;j=f}else{k=e;i=1.0}while(0);f=(p+o)*.5;h[y>>3]=f;e=(r+q)*.5;h[z>>3]=e;c[b+360>>2]=c[m+288>>2];k=i*k;h[v>>3]=k;j=i*j;h[w>>3]=j;g=Im(d,85783)|0;if(g){m=ZI((rJ(g)|0)+1|0)|0;n=ZI((rJ(g)|0)+1|0)|0;c[s>>2]=v;c[s+4>>2]=w;c[s+8>>2]=x;c[s+12>>2]=m;do if((cM(g,85792,s)|0)==4){g=no(c[d+60>>2]|0,m,0)|0;if(g|0){u=c[g+16>>2]|0;h[y>>3]=+h[u+16>>3];h[z>>3]=+h[u+24>>3]}}else{c[u>>2]=v;c[u+4>>2]=w;c[u+8>>2]=x;c[u+12>>2]=m;c[u+16>>2]=n;if((cM(g,85812,u)|0)!=4){c[t>>2]=v;c[t+4>>2]=w;c[t+8>>2]=x;c[t+12>>2]=y;c[t+16>>2]=z;cM(g,85832,t)|0;break}g=no(c[d+60>>2]|0,m,0)|0;if(g|0){u=c[g+16>>2]|0;h[y>>3]=+h[u+16>>3];h[z>>3]=+h[u+24>>3]}}while(0);_I(m);_I(n);k=+h[v>>3];j=+h[w>>3];i=+h[x>>3];f=+h[y>>3];e=+h[z>>3]}h[b+368>>3]=k;h[b+376>>3]=j;h[b+352>>3]=i;h[b+336>>3]=f;h[b+344>>3]=e;l=A;return}function Pv(b,d){b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0.0,j=0,k=0.0,m=0.0,n=0.0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0.0,P=0.0,Q=0.0;M=l;l=l+224|0;J=M+200|0;z=M+168|0;E=M+144|0;I=M+120|0;F=M+96|0;G=M+64|0;e=M+184|0;v=M+176|0;w=M+160|0;y=M+136|0;x=M+112|0;A=M+80|0;B=M+48|0;C=M+32|0;D=M+16|0;K=M+8|0;L=M;u=c[b>>2]|0;c[G>>2]=0;c[G+4>>2]=0;c[G+8>>2]=0;c[G+12>>2]=0;H=b+368|0;c[I>>2]=c[H>>2];c[I+4>>2]=c[H+4>>2];c[I+8>>2]=c[H+8>>2];c[I+12>>2]=c[H+12>>2];H=b+360|0;if(c[H>>2]|0){c[J>>2]=c[I>>2];c[J+4>>2]=c[I+4>>2];c[J+8>>2]=c[I+8>>2];c[J+12>>2]=c[I+12>>2];Qv(e,J);c[I>>2]=c[e>>2];c[I+4>>2]=c[e+4>>2];c[I+8>>2]=c[e+8>>2];c[I+12>>2]=c[e+12>>2]}t=b+416|0;c[F>>2]=c[t>>2];c[F+4>>2]=c[t+4>>2];c[F+8>>2]=c[t+8>>2];c[F+12>>2]=c[t+12>>2];if((a[u+294>>0]|0)!=0?(c[b+152>>2]&32|0)!=0:0){i=+h[u+232>>3]-+h[F>>3]*2.0;h[E>>3]=i;k=+h[u+240>>3]-+h[F+8>>3]*2.0;p=E+8|0;h[p>>3]=k;if(!(i<.0001)){o=+h[I>>3];e=~~(o/i);f=b+164|0;c[f>>2]=e;if(o-i*+(e|0)>.0001){e=e+1|0;c[f>>2]=e}}else{c[b+164>>2]=1;e=1}if(!(k<.0001)){g=+h[I+8>>3];f=~~(g/k);j=b+168|0;c[j>>2]=f;if(g-k*+(f|0)>.0001){f=f+1|0;c[j>>2]=f}}else{c[b+168>>2]=1;f=1;g=+h[I+8>>3]}c[b+204>>2]=O(f,e)|0;o=+h[(+h[I>>3]<i?I:E)>>3];h[I>>3]=o;e=p;f=I;m=+h[(g<k?I:E)+8>>3];g=o;j=21}else{if(c[b+68>>2]|0){e=c[b+84>>2]|0;i=+h[e+24>>3]-+h[F>>3]*2.0;i=i<0.0?0.0:i;h[E>>3]=i;o=+h[e+32>>3]-+h[F+8>>3]*2.0;e=E+8|0;h[e>>3]=o;if(o<0.0){f=E;j=17}else e=E}else{h[E+8>>3]=0.0;f=E;e=E;j=17}if((j|0)==17){h[e>>3]=0.0;e=f;i=+h[f>>3]}c[b+204>>2]=1;c[b+168>>2]=1;c[b+164>>2]=1;g=+h[I>>3];if(i<g){h[e>>3]=g;i=g}e=E+8|0;k=+h[e>>3];m=+h[I+8>>3];if(k<m){f=E;j=21}else{r=e;m=k}}if((j|0)==21){h[f+8>>3]=m;r=e;m=+h[e>>3]}n=+h[F>>3];s=b+432|0;k=+h[s>>3]*.013888888888888888*(n*2.0+i);c[b+448>>2]=~~(k+(k>=0.0?.5:-.5));q=F+8|0;k=+h[q>>3];t=b+440|0;o=+h[t>>3]*.013888888888888888*(k*2.0+m);c[b+452>>2]=~~(o+(o>=0.0?.5:-.5));j=b+188|0;p=b+180|0;e=b+172|0;f=u+196|0;c[e>>2]=0;c[e+4>>2]=0;c[e+8>>2]=0;c[e+12>>2]=0;c[e+16>>2]=0;c[e+20>>2]=0;Rv(v,b,a[c[f>>2]>>0]|0);u=v;v=c[u+4>>2]|0;e=p;c[e>>2]=c[u>>2];c[e+4>>2]=v;Rv(w,b,a[(c[f>>2]|0)+1>>0]|0);e=w;w=c[e>>2]|0;e=c[e+4>>2]|0;v=j;c[v>>2]=w;c[v+4>>2]=e;w=(c[p>>2]|0)+w|0;if(!((((w|0)>-1?w:0-w|0)|0)==1?(w=(c[b+184>>2]|0)+e|0,(((w|0)>-1?w:0-w|0)|0)==1):0)){Rv(y,b,66);v=y;y=c[v+4>>2]|0;w=p;c[w>>2]=c[v>>2];c[w+4>>2]=y;Rv(x,b,76);w=x;x=c[w+4>>2]|0;y=j;c[y>>2]=c[w>>2];c[y+4>>2]=x;c[z>>2]=c[f>>2];_l(0,85763,z)|0}if(a[(c[(c[d+16>>2]|0)+8>>2]|0)+82>>0]|0){if(i>g){m=(i-g)*.5;h[G>>3]=m}else m=0.0;i=+h[r>>3];o=+h[I+8>>3];if(i>o){i=(i-o)*.5;h[G+8>>3]=i}else i=0.0}else{i=0.0;m=0.0}if(!(c[H>>2]|0))j=1;else{c[J>>2]=c[I>>2];c[J+4>>2]=c[I+4>>2];c[J+8>>2]=c[I+8>>2];c[J+12>>2]=c[I+12>>2];Qv(A,J);c[I>>2]=c[A>>2];c[I+4>>2]=c[A+4>>2];c[I+8>>2]=c[A+8>>2];c[I+12>>2]=c[A+12>>2];c[J>>2]=c[E>>2];c[J+4>>2]=c[E+4>>2];c[J+8>>2]=c[E+8>>2];c[J+12>>2]=c[E+12>>2];Qv(B,J);c[E>>2]=c[B>>2];c[E+4>>2]=c[B+4>>2];c[E+8>>2]=c[B+8>>2];c[E+12>>2]=c[B+12>>2];c[J>>2]=c[F>>2];c[J+4>>2]=c[F+4>>2];c[J+8>>2]=c[F+8>>2];c[J+12>>2]=c[F+12>>2];Qv(C,J);c[F>>2]=c[C>>2];c[F+4>>2]=c[C+4>>2];c[F+8>>2]=c[C+8>>2];c[F+12>>2]=c[C+12>>2];c[J>>2]=c[G>>2];c[J+4>>2]=c[G+4>>2];c[J+8>>2]=c[G+8>>2];c[J+12>>2]=c[G+12>>2];Qv(D,J);c[G>>2]=c[D>>2];c[G+4>>2]=c[D+4>>2];c[G+8>>2]=c[D+8>>2];c[G+12>>2]=c[D+12>>2];n=+h[F>>3];m=+h[G>>3];k=+h[q>>3];i=+h[G+8>>3];g=+h[I>>3];j=(c[H>>2]|0)==0}o=m+n;h[b+384>>3]=o;P=i+k;h[b+392>>3]=P;N=m+n+g;h[b+400>>3]=N;Q=+h[I+8>>3];n=i+k+Q;h[b+408>>3]=n;m=+h[b+352>>3];h[b+320>>3]=g/m;h[b+328>>3]=Q/m;m=+h[s>>3];o=o*.013888888888888888*m;f=b+456|0;c[f>>2]=~~(o+(o>=0.0?.5:-.5));o=+h[t>>3];k=P*.013888888888888888*o;c[b+460>>2]=~~(k+(k>=0.0?.5:-.5));m=N*.013888888888888888*m;e=b+464|0;c[e>>2]=~~(m+(m>=0.0?.5:-.5));o=n*.013888888888888888*o;c[b+468>>2]=~~(o+(o>=0.0?.5:-.5));if(!j){c[J>>2]=c[f>>2];c[J+4>>2]=c[f+4>>2];Bv(K,J);I=K;K=c[I+4>>2]|0;b=f;c[b>>2]=c[I>>2];c[b+4>>2]=K;c[J>>2]=c[e>>2];c[J+4>>2]=c[e+4>>2];Bv(L,J);b=L;K=c[b+4>>2]|0;L=e;c[L>>2]=c[b>>2];c[L+4>>2]=K}l=M;return}function Qv(a,b){a=a|0;b=b|0;var c=0.0;c=+h[b>>3];h[a>>3]=+h[b+8>>3];h[a+8>>3]=c;return}function Rv(a,b,d){a=a|0;b=b|0;d=d|0;d=(d<<24>>24)+-66|0;switch(d>>>1|d<<31|0){case 9:{c[b+176>>2]=(c[b+168>>2]|0)+-1;b=0;d=-1;break}case 0:{b=0;d=1;break}case 5:{b=1;d=0;break}case 8:{c[b+172>>2]=(c[b+164>>2]|0)+-1;b=-1;d=0;break}default:{b=0;d=0}}c[a>>2]=b;c[a+4>>2]=d;return}function Sv(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;j=l;l=l+16|0;g=j;f=Im(d,86004)|0;i=b+296|0;c[i>>2]=(f|0)==0?86013:f;d=Im(d,86017)|0;f=b+300|0;d=(d|0)==0?86030:d;c[f>>2]=d;d=JL(c[i>>2]|0,d)|0;if(d|0){c[g>>2]=a[d>>0];_l(0,86032,g)|0;c[f>>2]=174181}d=GL(e)|0;c[b+304>>2]=d;h=b+308|0;f=0;b=0;while(1){e=DL(d,c[i>>2]|0)|0;if(!e)break;g=b+1|0;if((b|0)<(f|0))d=c[h>>2]|0;else{f=f+128|0;d=c[h>>2]|0;if(!d)d=ww(f<<2)|0;else d=yw(d,f<<2)|0;c[h>>2]=d}c[d+(g<<2)>>2]=e;b=g;d=0}if(b|0){i=yw(c[h>>2]|0,(b<<2)+8|0)|0;c[h>>2]=i;c[i>>2]=0;c[(c[h>>2]|0)+(b+1<<2)>>2]=0}l=j;return b|0}function Tv(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+16|0;j=k;i=a+312|0;d=ww((c[i>>2]<<2)+8|0)|0;e=0;h=1;while(1){g=c[i>>2]|0;if((h|0)>(g|0))break;f=e+1|0;if((iv(a,h,g,b)|0)<<24>>24){c[d+(f<<2)>>2]=h;e=f}h=h+1|0}if(!e){c[j>>2]=b;_l(0,85903,j)|0;_I(d);d=0}else{c[d>>2]=e;c[d+(e+1<<2)>>2]=(c[i>>2]|0)+1}l=k;return d|0}function Uv(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0.0,g=0.0;d=c[b+16>>2]|0;g=+h[d+16>>3];h[d+48>>3]=g-+h[d+88>>3];e=+h[d+24>>3];f=+h[d+80>>3]*.5;h[d+56>>3]=e-f;h[d+64>>3]=+h[d+96>>3]+g;h[d+72>>3]=f+e;b=Pm(a,b)|0;while(1){if(!b)break;Vv(b);b=Rm(a,b)|0}return}function Vv(a){a=a|0;a=c[(c[a+16>>2]|0)+8>>2]|0;if(a|0)Wv(a);return}function Wv(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0;C=l;l=l+240|0;v=C+192|0;u=C+176|0;w=C+64|0;x=C+32|0;y=C;z=C+144|0;A=C+112|0;B=a+4|0;if((c[B>>2]|0)<=0)ma(86171,84925,3994,86185);b=c[a>>2]|0;d=w;e=b;f=d+48|0;do{c[d>>2]=c[e>>2];d=d+4|0;e=e+4|0}while((d|0)<(f|0));d=v;e=b;f=d+48|0;do{c[d>>2]=c[e>>2];d=d+4|0;e=e+4|0}while((d|0)<(f|0));Xv(x,v);i=x+8|0;j=y+8|0;k=x+16|0;m=y+16|0;n=x+24|0;o=y+24|0;p=w+8|0;q=w+12|0;r=w+32|0;s=w+4|0;t=w+16|0;g=0;while(1){if((g|0)>=(c[B>>2]|0))break;if((g|0)>0){b=(c[a>>2]|0)+(g*48|0)|0;d=w;e=b;f=d+48|0;do{c[d>>2]=c[e>>2];d=d+4|0;e=e+4|0}while((d|0)<(f|0));d=v;e=b;f=d+48|0;do{c[d>>2]=c[e>>2];d=d+4|0;e=e+4|0}while((d|0)<(f|0));Xv(y,v);h[x>>3]=+h[(+h[x>>3]<+h[y>>3]?x:y)>>3];h[i>>3]=+h[(+h[i>>3]<+h[j>>3]?x:y)+8>>3];h[k>>3]=+h[(+h[k>>3]>+h[m>>3]?x:y)+16>>3];h[n>>3]=+h[(+h[n>>3]>+h[o>>3]?x:y)+24>>3]}b=c[p>>2]|0;if(b|0){f=c[w>>2]|0;c[u>>2]=c[t>>2];c[u+4>>2]=c[t+4>>2];c[u+8>>2]=c[t+8>>2];c[u+12>>2]=c[t+12>>2];c[v>>2]=c[f>>2];c[v+4>>2]=c[f+4>>2];c[v+8>>2]=c[f+8>>2];c[v+12>>2]=c[f+12>>2];Rt(z,u,v,1.0,b);c[y>>2]=c[z>>2];c[y+4>>2]=c[z+4>>2];c[y+8>>2]=c[z+8>>2];c[y+12>>2]=c[z+12>>2];c[y+16>>2]=c[z+16>>2];c[y+20>>2]=c[z+20>>2];c[y+24>>2]=c[z+24>>2];c[y+28>>2]=c[z+28>>2];h[x>>3]=+h[(+h[x>>3]<+h[y>>3]?x:y)>>3];h[i>>3]=+h[(+h[i>>3]<+h[j>>3]?x:y)+8>>3];h[k>>3]=+h[(+h[k>>3]>+h[m>>3]?x:y)+16>>3];h[n>>3]=+h[(+h[n>>3]>+h[o>>3]?x:y)+24>>3]}b=c[q>>2]|0;if(b|0){f=(c[w>>2]|0)+((c[s>>2]|0)+-1<<4)|0;c[u>>2]=c[r>>2];c[u+4>>2]=c[r+4>>2];c[u+8>>2]=c[r+8>>2];c[u+12>>2]=c[r+12>>2];c[v>>2]=c[f>>2];c[v+4>>2]=c[f+4>>2];c[v+8>>2]=c[f+8>>2];c[v+12>>2]=c[f+12>>2];Rt(A,u,v,1.0,b);c[y>>2]=c[A>>2];c[y+4>>2]=c[A+4>>2];c[y+8>>2]=c[A+8>>2];c[y+12>>2]=c[A+12>>2];c[y+16>>2]=c[A+16>>2];c[y+20>>2]=c[A+20>>2];c[y+24>>2]=c[A+24>>2];c[y+28>>2]=c[A+28>>2];h[x>>3]=+h[(+h[x>>3]<+h[y>>3]?x:y)>>3];h[i>>3]=+h[(+h[i>>3]<+h[j>>3]?x:y)+8>>3];h[k>>3]=+h[(+h[k>>3]>+h[m>>3]?x:y)+16>>3];h[n>>3]=+h[(+h[n>>3]>+h[o>>3]?x:y)+24>>3]}g=g+1|0}B=a+8|0;c[B>>2]=c[x>>2];c[B+4>>2]=c[x+4>>2];c[B+8>>2]=c[x+8>>2];c[B+12>>2]=c[x+12>>2];c[B+16>>2]=c[x+16>>2];c[B+20>>2]=c[x+20>>2];c[B+24>>2]=c[x+24>>2];c[B+28>>2]=c[x+28>>2];l=C;return}function Xv(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0.0,p=0.0,q=0.0,r=0.0,s=0.0,t=0;n=l;l=l+48|0;i=n+32|0;j=n;k=c[b+4>>2]|0;if((k|0)<=0)ma(86201,84925,3968,86213);if(((k>>>0)%3|0|0)!=1)ma(86223,84925,3969,86213);m=j+16|0;d=c[b>>2]|0;c[m>>2]=c[d>>2];c[m+4>>2]=c[d+4>>2];c[m+8>>2]=c[d+8>>2];c[m+12>>2]=c[d+12>>2];c[j>>2]=c[d>>2];c[j+4>>2]=c[d+4>>2];c[j+8>>2]=c[d+8>>2];c[j+12>>2]=c[d+12>>2];e=i+8|0;f=j+8|0;g=j+24|0;b=1;while(1){if((b|0)>=(k|0))break;p=+h[d+(b<<4)+8>>3];t=b+1|0;o=+h[d+(t<<4)+8>>3];r=(+h[d+(t<<4)>>3]+ +h[d+(b<<4)>>3])*.5;h[i>>3]=r;p=(o+p)*.5;h[e>>3]=p;o=+h[(+h[j>>3]<r?j:i)>>3];h[j>>3]=o;s=+h[(+h[f>>3]<p?j:i)+8>>3];h[f>>3]=s;r=+h[(+h[m>>3]>r?m:i)>>3];h[m>>3]=r;p=+h[(+h[g>>3]>p?m:i)+8>>3];h[g>>3]=p;t=d+(b+2<<4)|0;c[i>>2]=c[t>>2];c[i+4>>2]=c[t+4>>2];c[i+8>>2]=c[t+8>>2];c[i+12>>2]=c[t+12>>2];q=+h[i>>3];h[j>>3]=+h[(o<q?j:i)>>3];o=+h[e>>3];h[f>>3]=+h[(s<o?j:i)+8>>3];h[m>>3]=+h[(r>q?m:i)>>3];h[g>>3]=+h[(p>o?m:i)+8>>3];b=b+3|0}c[a>>2]=c[j>>2];c[a+4>>2]=c[j+4>>2];c[a+8>>2]=c[j+8>>2];c[a+12>>2]=c[j+12>>2];c[a+16>>2]=c[j+16>>2];c[a+20>>2]=c[j+20>>2];c[a+24>>2]=c[j+24>>2];c[a+28>>2]=c[j+28>>2];l=n;return}function Yv(a,b,c){a=a|0;b=b|0;c=c|0;var d=0,e=0.0,f=0.0,g=0.0,i=0,j=0.0,k=0,l=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0,r=0.0;q=+h[a>>3];r=+h[c>>3];k=!(q>=r);if((!k?q<=+h[c+16>>3]:0)?(e=+h[a+8>>3],e>=+h[c+8>>3]):0)i=e<=+h[c+24>>3];else i=0;e=+h[b>>3];if((e>=r?e<=+h[c+16>>3]:0)?(f=+h[b+8>>3],f>=+h[c+8>>3]):0){d=f<=+h[c+24>>3];if(!(i^d))if(i&d)d=1;else l=11;else d=0}else if(i)d=0;else l=11;a:do if((l|0)==11){p=+h[a+8>>3];do if(q==e){r=+h[c+8>>3];if(!(k|p>=r^+h[b+8>>3]>=r^1)?q<=+h[c+16>>3]:0){d=0;break a}}else{j=+h[b+8>>3];if(p==j){if(!(q>=r^e>=r))break;if(!(p>=+h[c+8>>3]))break;if(!(p<=+h[c+24>>3]))break;else{d=0;break a}}o=(j-p)/(e-q);l=q<e;g=l?q:e;e=l?e:q;f=(r-q)*o+p;m=+h[c+8>>3];if(!(!(r>=g)|!(r<=e)|!(f>=m))?f<=+h[c+24>>3]:0){d=0;break a}n=+h[c+16>>3];f=(n-r)*o+f;if(f>=m?!(!(n<=e)|(n>=g?!(f<=+h[c+24>>3]):1)):0){d=0;break a}l=p<j;g=l?p:j;f=l?j:p;e=(m-p)/o+q;if(e>=r?!(!(m<=f)|(!(m>=g)|!(e<=n))):0){d=0;break a}p=+h[c+24>>3];q=(p-m)/o+e;if(q>=r?!(!(p<=f)|(!(p>=g)|!(q<=n))):0){d=0;break a}}while(0);d=-1}while(0);return d|0}function Zv(a){a=a|0;var b=0,c=0.0;b=a+16|0;c=+h[b>>3];h[a+32>>3]=c;h[a+48>>3]=c;h[a+40>>3]=+h[a+24>>3];h[a+56>>3]=+h[a+8>>3];h[b>>3]=+h[a>>3];return}function _v(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0.0,g=0.0,i=0.0;if((c[42176]|0)!=(d|0)){SJ(+(d|0)*.15915494309189535,167112,167120);c[42176]=d}g=+h[b>>3];e=+h[20890];f=+h[b+8>>3];i=+h[20889];h[a>>3]=e*g-i*f;h[a+8>>3]=i*g+f*e;return}function $v(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0,g=0.0,i=0,j=0,k=0;k=l;l=l+16|0;f=k;e=+h[b>>3];i=b+8|0;g=+h[i>>3];a:do switch(d|0){case 0:{j=11;break}case 90:{h[b>>3]=g;e=-e;j=10;break}case 180:{e=-g;j=10;break}case 270:{h[b>>3]=g;j=10;break}default:{if((d|0)<0){c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];aw(a,f,0-d|0);break a}if((d|0)>360){c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];$v(a,f,(d>>>0)%360|0);break a}else{c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];_v(a,f,d);break a}}}while(0);if((j|0)==10){h[i>>3]=e;j=11}if((j|0)==11){c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2]}l=k;return}function aw(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0,g=0.0,i=0,j=0,k=0;k=l;l=l+16|0;f=k;e=+h[b>>3];i=b+8|0;g=+h[i>>3];a:do switch(d|0){case 0:{j=11;break}case 90:{h[b>>3]=-g;j=10;break}case 180:{e=-g;j=10;break}case 270:{h[b>>3]=g;j=10;break}default:{if((d|0)<0){c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];$v(a,f,0-d|0);break a}if((d|0)>360){c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];aw(a,f,(d>>>0)%360|0);break a}else{c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];_v(a,f,360-d|0);break a}}}while(0);if((j|0)==10){h[i>>3]=e;j=11}if((j|0)==11){c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2]}l=k;return}function bw(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0,f=0.0,g=0.0;g=+h[c>>3];d=+h[c+8>>3];f=d+ +h[b>>3];e=g+ +h[b+24>>3];d=d+ +h[b+16>>3];h[a>>3]=g+ +h[b+8>>3];h[a+8>>3]=f;h[a+16>>3]=e;h[a+24>>3]=d;return}function cw(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0,f=0.0,g=0.0;f=+h[a>>3];d=+h[b>>3]-f;g=+h[a+8>>3];e=+h[b+8>>3]-g;f=(+h[c+8>>3]-g)*d-(+h[c>>3]-f)*e;f=f*f;return +(f<1.0e-10?0.0:f/(e*e+d*d))}function dw(b,d){b=b|0;d=d|0;var e=0,f=0.0,g=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+16|0;g=n+8|0;i=n;e=vw(96)|0;m=b+16|0;c[(c[m>>2]|0)+8>>2]=e;e=Im(b,86250)|0;if(!e){e=Na(86259)|0;if(e|0)k=3}else k=3;if((k|0)==3)Va(86271,e|0,1)|0;e=(ew(b)|0)&255;a[(c[m>>2]|0)+115>>0]=e;if(0==0?(e=Im(b,86282)|0,c[42178]=e,(e|0)==0):0)c[42178]=c[42177];f=+EA(b,ym(b,0,86292,0)|0,0.0,0.0);h[c[(c[m>>2]|0)+8>>2]>>3]=f;e=Im(b,86300)|0;a:do if(!e)e=0;else{switch(a[e>>0]|0){case 76:{if(!(xJ(e,86308)|0)){e=1;break a}break}case 66:{if(!(xJ(e,86311)|0)){e=2;break a}break}case 82:{e=(xJ(e,86314)|0)==0;e=e?3:0;break a}default:{e=0;break a}}e=0}while(0);c[(c[m>>2]|0)+116>>2]=e<<2|(d<<24>>24==0?0:e);f=+EA(b,ym(b,0,86317,0)|0,.25,.02);h[i>>3]=f;f=f*72.0;c[(c[m>>2]|0)+248>>2]=~~(f+(f>=0.0?.5:-.5));e=FA(b,ym(b,0,86325,0)|0,0)|0;if(e){c[g>>2]=i;if(cM(e,86246,g)|0){f=+h[i>>3];if(f<.02){h[i>>3]=.02;f=.02}}else{h[i>>3]=.5;f=.5}if(hL(e,86333)|0)a[(c[m>>2]|0)+276>>0]=1}else{h[i>>3]=.5;f=.5}f=f*72.0;c[(c[m>>2]|0)+252>>2]=~~(f+(f>=0.0?.5:-.5));i=(DA(b,ym(b,0,86341,0)|0,0,0)|0)&255;a[(c[m>>2]|0)+243>>0]=i;i=UA(FA(b,ym(b,0,86351,0)|0,0)|0,19732,19748)|0;c[(c[m>>2]|0)+244>>2]=i;fw(b);i=gw(b,86361,(c[(c[m>>2]|0)+8>>2]|0)+64|0)|0;e=c[(c[m>>2]|0)+8>>2]|0;a[e+80>>0]=i;gw(b,86366,e+48|0)|0;e=IA(Im(b,86371)|0)|0;a[(c[(c[m>>2]|0)+8>>2]|0)+82>>0]=e;e=Im(b,86378)|0;do if(!e){e=Im(b,86385)|0;if(e|0){e=(a[e>>0]|32)<<24>>24==108&1;k=27;break}e=Im(b,86397)|0;if(e|0){e=IA(e)|0;k=27}}else{e=(rM(e)|0)==90&1;k=27}while(0);if((k|0)==27)a[(c[(c[m>>2]|0)+8>>2]|0)+81>>0]=e;c[42179]=UA(Im(b,86407)|0,19764,19780)|0;a[174076]=IA(Im(b,86419)|0)|0;c[42181]=0;c[42182]=0;h[(c[(c[m>>2]|0)+8>>2]|0)+24>>3]=0.0;e=Im(b,86431)|0;if((e|0)!=0?(a[e>>0]|0)!=0:0)k=32;else k=30;if(((k|0)==30?(j=Im(b,86435)|0,j|0):0)?a[j>>0]|0:0){e=j;k=32}if((k|0)==32){f=+sM(e);h[(c[(c[m>>2]|0)+8>>2]|0)+24>>3]=f}hw(b);c[42184]=ym(b,0,86446,0)|0;c[42187]=ym(b,0,86455,0)|0;c[42188]=ym(b,0,90530,0)|0;c[42189]=ym(b,1,96049,0)|0;c[42190]=ym(b,1,96043,0)|0;c[42191]=ym(b,1,90671,0)|0;c[42192]=ym(b,1,122540,0)|0;c[42193]=ym(b,1,86469,0)|0;c[42201]=ym(b,1,86479,0)|0;c[42194]=ym(b,1,86485,0)|0;c[42195]=ym(b,1,86494,0)|0;c[42196]=ym(b,1,86503,0)|0;k=ym(b,1,86240,0)|0;c[42198]=k;if(!k)c[42198]=ym(b,1,86240,90527)|0;c[42199]=ym(b,1,86513,0)|0;c[42202]=ym(b,1,86341,0)|0;c[42216]=ym(b,1,86520,0)|0;c[42205]=ym(b,1,86446,0)|0;c[42197]=ym(b,1,90530,0)|0;c[42203]=ym(b,1,86529,0)|0;c[42204]=ym(b,1,86535,0)|0;c[42207]=ym(b,1,86547,0)|0;c[42206]=ym(b,1,86385,0)|0;c[42208]=ym(b,1,86552,0)|0;c[42209]=ym(b,1,86563,0)|0;c[42210]=ym(b,1,122089,0)|0;c[42200]=ym(b,1,86573,0)|0;c[42211]=ym(b,1,86583,0)|0;c[42212]=ym(b,1,86589,0)|0;c[42213]=ym(b,1,86595,0)|0;c[42214]=ym(b,1,86603,0)|0;c[42215]=ym(b,1,86612,0)|0;c[42217]=ym(b,1,86455,0)|0;c[42218]=ym(b,2,86614,0)|0;c[42220]=ym(b,2,122540,0)|0;c[42221]=ym(b,2,86469,0)|0;c[42223]=ym(b,2,86485,0)|0;c[42224]=ym(b,2,86494,0)|0;c[42225]=ym(b,2,86503,0)|0;c[42226]=ym(b,2,86240,0)|0;c[42227]=ym(b,2,86513,0)|0;c[42236]=ym(b,2,86621,0)|0;c[42228]=ym(b,2,86632,0)|0;c[42239]=ym(b,2,86636,0)|0;c[42240]=ym(b,2,86646,0)|0;c[42241]=ym(b,2,86656,0)|0;c[42242]=ym(b,2,86666,0)|0;c[42243]=ym(b,2,86676,0)|0;c[42244]=ym(b,2,86690,0)|0;c[42245]=ym(b,2,86704,0)|0;c[42246]=ym(b,2,86719,0)|0;c[42247]=ym(b,2,86733,0)|0;c[42219]=ym(b,2,86744,0)|0;c[42231]=ym(b,2,86341,0)|0;c[42229]=ym(b,2,86479,0)|0;c[42230]=ym(b,2,86751,0)|0;c[42232]=ym(b,2,86760,0)|0;c[42233]=ym(b,2,86770,0)|0;c[42234]=ym(b,2,86583,0)|0;c[42235]=ym(b,2,86595,0)|0;c[42248]=ym(b,2,86781,0)|0;c[42249]=ym(b,2,86790,0)|0;c[42250]=ym(b,2,86520,0)|0;e=Ut(b)|0;c[(c[(c[m>>2]|0)+8>>2]|0)+88>>2]=e;e=Im(b,86799)|0;if(e|0?a[e>>0]|0:0){b=qw(e,b)|0;c[(c[(c[m>>2]|0)+8>>2]|0)+92>>2]=b}l=n;return}function ew(a){a=a|0;var b=0,d=0;d=l;l=l+16|0;b=d;a=GA(a,ym(a,0,86883,0)|0,86891)|0;if(((((((iK(a,86897)|0)!=0?(iK(a,86905)|0)!=0:0)?(iK(a,86912)|0)!=0:0)?(iK(a,86915)|0)!=0:0)?(iK(a,86926)|0)!=0:0)?(iK(a,86937)|0)!=0:0)?(iK(a,86947)|0)!=0:0)if((iK(a,86958)|0)!=0?(iK(a,86964)|0)!=0:0)if((iK(a,86891)|0)!=0?(iK(a,86969)|0)!=0:0){c[b>>2]=a;_l(0,86974,b)|0;a=0}else a=0;else a=2;else a=1;l=d;return a|0}function fw(b){b=b|0;var d=0.0,e=0,f=0;e=Im(b,86841)|0;a:do if(e|0?(f=a[e>>0]|0,f<<24>>24):0)switch(f<<24>>24|0){case 97:{if(f<<24>>24!=97)break a;if(xJ(e,86847)|0)break a;c[(c[(c[b+16>>2]|0)+8>>2]|0)+84>>2]=4;break a}case 99:{if(f<<24>>24!=99)break a;if(xJ(e,86852)|0)break a;c[(c[(c[b+16>>2]|0)+8>>2]|0)+84>>2]=3;break a}case 101:{if(f<<24>>24!=101)break a;if(xJ(e,86861)|0)break a;c[(c[(c[b+16>>2]|0)+8>>2]|0)+84>>2]=5;break a}case 102:{if(f<<24>>24!=102)break a;if(xJ(e,86868)|0)break a;c[(c[(c[b+16>>2]|0)+8>>2]|0)+84>>2]=2;break a}default:{d=+sM(e);if(!(d>0.0))break a;b=c[(c[b+16>>2]|0)+8>>2]|0;c[b+84>>2]=1;h[b+16>>3]=d;break a}}while(0);return}function gw(b,d,e){b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+48|0;m=o+32|0;i=o+16|0;k=o+8|0;j=o;n=o+40|0;a[n>>0]=0;b=Im(b,d)|0;do if(b){c[i>>2]=k;c[i+4>>2]=j;c[i+8>>2]=n;i=(cM(b,86825,i)|0)>1;g=+h[k>>3];f=+h[j>>3];if(i&g>0.0&f>0.0){g=g*72.0;h[e>>3]=+(~~(g+(g>=0.0?.5:-.5))|0);g=f*72.0;h[e+8>>3]=+(~~(g+(g>=0.0?.5:-.5))|0);b=(a[n>>0]|0)==33;break}a[n>>0]=0;c[m>>2]=k;c[m+4>>2]=n;m=(cM(b,86835,m)|0)>0;f=+h[k>>3];if(m&f>0.0){g=f*72.0;g=+(~~(g+(g>=0.0?.5:-.5))|0);h[e>>3]=g;h[e+8>>3]=g;b=(a[n>>0]|0)==33}else b=0}else b=0;while(0);l=o;return b&1|0}function hw(b){b=b|0;var d=0,e=0,f=0.0,g=0.0,i=0;d=Im(b,86240)|0;do if(d|0?a[d>>0]|0:0){e=(c[(c[b+60>>2]|0)+16>>2]|0)+113|0;a[e>>0]=a[e>>0]|8;e=(cp(d)|0)!=0;g=+EA(b,ym(b,0,86485,0)|0,14.0,1.0);i=GA(b,ym(b,0,86494,0)|0,93027)|0;d=lw(b,d,e?2:0,g,i,GA(b,ym(b,0,86503,0)|0,122106)|0)|0;i=b+16|0;c[(c[i>>2]|0)+12>>2]=d;d=Im(b,90662)|0;e=(d|0)!=0;do if((so(b)|0)==(b|0)){if(e?(a[d>>0]|0)==116:0){d=1;break}d=0}else{if(e?(a[d>>0]|0)==98:0){d=0;break}d=1}while(0);e=Im(b,86802)|0;a:do if(e)switch(a[e>>0]|0){case 108:{d=d|2;break a}case 114:{d=d|4;break a}default:break a}while(0);a[(c[i>>2]|0)+275>>0]=d;if((so(b)|0)!=(b|0)){d=c[(c[i>>2]|0)+12>>2]|0;f=+h[d+24>>3]+16.0;g=+h[d+32>>3]+8.0;b=(c[(c[(so(b)|0)+16>>2]|0)+116>>2]&1|0)==0;d=c[i>>2]|0;e=a[d+275>>0]<<1&2;if(b){b=e&255;h[d+48+(b<<4)>>3]=f;h[d+48+(b<<4)+8>>3]=g;break}else{b=(e^3)&255;h[d+48+(b<<4)>>3]=g;h[d+48+(b<<4)+8>>3]=f;break}}}while(0);return}function iw(a){a=a|0;var b=0,d=0,e=0;e=a+16|0;d=c[e>>2]|0;b=c[d+8>>2]|0;do if(!b)b=d;else{d=c[b+88>>2]|0;if(d){xt(d);d=c[e>>2]|0;b=c[d+8>>2]|0;if(!b){b=d;break}}_I(c[b+92>>2]|0);b=c[e>>2]|0}while(0);_I(c[b+8>>2]|0);e=c[e>>2]|0;c[e+8>>2]=0;ow(c[e+12>>2]|0);To(a,0,122277);return}function jw(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0;f=c[d>>2]|0;l=d+24|0;c[l>>2]=0;c[l+4>>2]=0;c[l+8>>2]=0;c[l+12>>2]=0;if(a[f>>0]|0){i=ww((rJ(f)|0)+1|0)|0;a[i>>0]=0;j=d+12|0;e=i;a:while(1){b:while(1){h=f+1|0;g=a[f>>0]|0;if(!(g<<24>>24))break a;if(!(g<<24>>24==-1|((g&255)<161|(c[j>>2]|0)!=2))){a[e>>0]=g;h=a[h>>0]|0;g=e+2|0;a[e+1>>0]=h;if(!(h<<24>>24)){e=g;break a}else{e=g;f=f+2|0;continue}}switch(g<<24>>24){case 92:break b;case 10:{k=12;break b}default:{}}a[e>>0]=g;e=e+1|0;f=h}if((k|0)==12){k=0;f=e+1|0;a[e>>0]=0;kw(b,d,i,110);e=f;i=f;f=h;continue}g=a[h>>0]|0;switch(g<<24>>24|0){case 114:case 108:case 110:{g=e+1|0;a[e>>0]=0;kw(b,d,i,a[h>>0]|0);e=g;break}default:{a[e>>0]=g;e=e+1|0;g=i}}i=g;f=(a[h>>0]|0)==0?h:f+2|0}if((i|0)!=(e|0)){a[e>>0]=0;kw(b,d,i,110)}d=d+40|0;c[d>>2]=c[l>>2];c[d+4>>2]=c[l+4>>2];c[d+8>>2]=c[l+8>>2];c[d+12>>2]=c[l+12>>2]}return}function kw(d,e,f,g){d=d|0;e=e|0;f=f|0;g=g|0;var i=0.0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;s=l;l=l+32|0;q=s+16|0;p=s;r=e+76|0;k=b[r>>1]|0;o=e+72|0;m=c[o>>2]|0;if(!m)n=vw((k*56|0)+112|0)|0;else n=xw(m,k+2|0,56,k+1|0)|0;c[o>>2]=n;k=b[r>>1]|0;m=n+(k*56|0)|0;c[m>>2]=f;a[n+(k*56|0)+48>>0]=g;if((f|0)!=0?(a[f>>0]|0)!=0:0){c[41782]=c[e+4>>2];h[20893]=+h[e+16>>3];g=c[d+144>>2]|0;c[n+(k*56|0)+4>>2]=bb[c[g>>2]&31](g,167128,1)|0;pA(p,d,m);j=+h[p>>3];h[q>>3]=j;i=+h[p+8>>3]}else{h[q>>3]=0.0;i=+(~~(+h[e+16>>3]*1.2)|0);h[n+(k*56|0)+40>>3]=i;j=0.0}b[r>>1]=(b[r>>1]|0)+1<<16>>16;r=e+24|0;h[r>>3]=+h[(+h[r>>3]>j?r:q)>>3];r=e+32|0;h[r>>3]=+h[r>>3]+i;l=s;return}function lw(b,e,f,g,i,j){b=b|0;e=e|0;f=f|0;g=+g;i=i|0;j=j|0;var k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+32|0;r=u+16|0;q=u+8|0;p=u;t=vw(88)|0;switch(Co(b)|0){case 0:{m=0;s=c[b+60>>2]|0;n=b;o=0;break}case 1:{m=0;s=so(ro(b)|0)|0;n=0;o=b;break}case 2:{m=b;s=so(ro(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0)|0;n=0;o=0;break}default:{m=0;s=0;n=0;o=0}}c[t+4>>2]=i;c[t+8>>2]=j;h[t+16>>3]=g;k=s+16|0;j=t+12|0;c[j>>2]=d[(c[k>>2]|0)+115>>0];a:do if(f&4){c[t>>2]=GL(e)|0;if(f&2|0)a[t+82>>0]=1}else switch(f|0){case 2:{c[t>>2]=GL(e)|0;a[t+82>>0]=1;if(!(TF(b,t)|0))break a;switch(Co(b)|0){case 0:{c[p>>2]=Dn(n)|0;_l(3,87017,p)|0;break a}case 1:{c[q>>2]=Dn(o)|0;_l(3,87039,q)|0;break a}case 2:{p=Dn(c[((c[m>>2]&3|0)==3?m:m+48|0)+40>>2]|0)|0;q=(qn(s)|0)!=0;s=Dn(c[((c[m>>2]&3|0)==2?m:m+-48|0)+40>>2]|0)|0;c[r>>2]=p;c[r+4>>2]=q?122546:122549;c[r+8>>2]=s;_l(3,87060,r)|0;break a}default:break a}}case 0:{i=mw(e,b,0)|0;c[t>>2]=i;if((c[j>>2]|0)==1)i=yB(i)|0;else i=vB(i,s)|0;_I(c[t>>2]|0);c[t>>2]=i;jw(c[(c[k>>2]|0)+144>>2]|0,t);break a}default:ma(87087,87103,166,87112)}while(0);l=u;return t|0}function mw(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0;switch(Co(d)|0){case 0:{i=Dn(d)|0;g=rJ(i)|0;f=c[(c[d+16>>2]|0)+12>>2]|0;if(f){f=c[f>>2]|0;if(!b){v=0;t=2;u=2;s=2;h=2;y=87135;m=87132;j=90527;o=174181;q=174181;p=0;r=0;n=2;w=f;x=87129}else{v=0;t=2;u=2;s=2;h=2;y=87135;m=87132;j=90527;o=174181;q=174181;p=0;r=0;n=rJ(f)|0;w=f;x=87129}}else{v=0;t=2;u=2;s=2;h=2;y=87135;m=87132;j=90527;o=174181;q=174181;p=0;r=0;n=2;w=87123;x=87129}break}case 1:{i=Dn(ro(d)|0)|0;g=rJ(i)|0;j=Dn(d)|0;h=rJ(j)|0;f=c[(c[d+16>>2]|0)+104>>2]|0;if(f){f=c[f>>2]|0;if(!b){v=0;t=2;u=2;s=2;y=87135;m=87132;o=174181;q=174181;p=0;r=0;n=2;w=f;x=87129}else{v=0;t=2;u=2;s=2;y=87135;m=87132;o=174181;q=174181;p=0;r=0;n=rJ(f)|0;w=f;x=87129}}else{v=0;t=2;u=2;s=2;y=87135;m=87132;o=174181;q=174181;p=0;r=0;n=2;w=87123;x=87129}break}case 2:{h=d+48|0;i=Dn(so(ro(c[((c[d>>2]&3|0)==3?d:h)+40>>2]|0)|0)|0)|0;g=rJ(i)|0;l=Dn(c[((c[d>>2]&3|0)==3?d:h)+40>>2]|0)|0;k=rJ(l)|0;f=d+16|0;q=c[(c[f>>2]|0)+52>>2]|0;if(!q)r=0;else r=rJ(q)|0;m=Dn(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)|0;f=c[f>>2]|0;o=c[f+92>>2]|0;if(!o)p=0;else p=rJ(o)|0;j=rJ(m)|0;f=c[f+96>>2]|0;if(f){f=c[f>>2]|0;if(!b)n=2;else n=rJ(f)|0}else{n=2;f=87123}x=(qn(so(ro(c[((c[d>>2]&3|0)==3?d:h)+40>>2]|0)|0)|0)|0)==0;v=1;t=k;u=j;s=k+2+(r|0?r+1|0:0)+j+(p|0?p+1|0:0)|0;h=2;y=l;j=90527;w=f;x=x?122549:122546;break}default:{v=0;t=2;u=2;s=2;h=2;g=2;y=87135;m=87132;j=90527;i=87126;o=174181;q=174181;p=0;r=0;n=2;w=87123;x=87129}}e=(e|0)==0;l=0;f=b;a:while(1){d=f+1|0;b:do switch(a[f>>0]|0){case 0:break a;case 92:{f=f+2|0;switch(a[d>>0]|0){case 78:{k=h;break b}case 71:{k=g;break b}case 69:{k=s;break b}case 72:{k=u;break b}case 84:{k=t;break b}case 76:{k=n;break b}case 92:{if(!e){k=1;break b}break}default:{}}k=2;break}default:{k=1;f=d}}while(0);l=l+k|0}s=ww(l+1|0)|0;n=(v|0)==0;l=(r|0)==0;d=(p|0)==0;f=s;g=b;c:while(1){k=g+1|0;h=a[g>>0]|0;switch(h<<24>>24){case 0:break c;case 92:break;default:{a[f>>0]=h;f=f+1|0;g=k;continue c}}h=g+2|0;g=a[k>>0]|0;switch(g<<24>>24|0){case 71:{g=i;while(1){b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24)){g=h;continue c}g=g+1|0;f=f+1|0}}case 78:{g=j;while(1){b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24)){g=h;continue c}g=g+1|0;f=f+1|0}}case 69:{if(n){g=h;continue c}else g=y;while(1){b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24))break;g=g+1|0;f=f+1|0}if(l)g=x;else{a[f>>0]=58;g=q;while(1){f=f+1|0;b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24)){g=x;break}else g=g+1|0}}while(1){b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24)){g=m;break}g=g+1|0;f=f+1|0}while(1){b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24))break;g=g+1|0;f=f+1|0}if(d){g=h;continue c}a[f>>0]=58;g=o;while(1){f=f+1|0;b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24)){g=h;continue c}else g=g+1|0}}case 84:{g=y;while(1){b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24)){g=h;continue c}g=g+1|0;f=f+1|0}}case 72:{g=m;while(1){b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24)){g=h;continue c}f=f+1|0;g=g+1|0}}case 76:{g=w;while(1){b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24)){g=h;continue c}f=f+1|0;g=g+1|0}}case 92:{if(!e){a[f>>0]=92;f=f+1|0;g=h;continue c}break}default:{}}a[f>>0]=92;a[f+1>>0]=g;f=f+2|0;g=h}a[f>>0]=0;return s|0}function nw(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;if(a|0){d=a;e=0;while(1){if((e|0)>=(b|0))break;if(!e)_I(c[d>>2]|0);g=c[d+8>>2]|0;if(g|0?(f=c[d+12>>2]|0,f|0):0)gb[f&127](g);d=d+56|0;e=e+1|0}_I(a)}return}function ow(d){d=d|0;var e=0;if(d|0){_I(c[d>>2]|0);e=d+72|0;if(a[d+82>>0]|0){e=c[e>>2]|0;if(e|0)EF(e,1)}else nw(c[e>>2]|0,b[d+76>>1]|0);_I(d)}return}function pw(d,e,f){d=d|0;e=e|0;f=f|0;var g=0.0,i=0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+32|0;q=u+16|0;r=u;k=c[d+16>>2]|0;s=k+12|0;t=c[s>>2]|0;c[s>>2]=e;if(!(a[f+82>>0]|0)){p=f+76|0;if((b[p>>1]|0)>=1){yD(d,0);BD(d,c[f+8>>2]|0);switch(a[f+80>>0]|0){case 116:{j=+h[f+64>>3];g=+h[f+48>>3]*.5+j;break}case 98:{j=+h[f+64>>3];g=+h[f+48>>3]*-.5+j+ +h[f+32>>3];break}default:{j=+h[f+64>>3];g=+h[f+32>>3]*.5+j}}g=g-+h[f+16>>3];o=r+8|0;h[o>>3]=g;if(b[k+260>>1]&512)h[o>>3]=g-j;m=f+72|0;n=f+56|0;i=f+40|0;e=0;while(1){if((e|0)>=(b[p>>1]|0))break;k=c[m>>2]|0;switch(a[k+(e*56|0)+48>>0]|0){case 108:{g=+h[n>>3]-+h[i>>3]*.5;break}case 114:{g=+h[i>>3]*.5+ +h[n>>3];break}default:g=+h[n>>3]}h[r>>3]=g;c[q>>2]=c[r>>2];c[q+4>>2]=c[r+4>>2];c[q+8>>2]=c[r+8>>2];c[q+12>>2]=c[r+12>>2];AD(d,q,k+(e*56|0)|0);h[o>>3]=+h[o>>3]-+h[(c[m>>2]|0)+(e*56|0)+40>>3];e=e+1|0}zD(d);i=18}}else{jF(d,c[f+72>>2]|0,f);i=18}if((i|0)==18)c[s>>2]=t;l=u;return}function qw(a,b){a=a|0;b=b|0;return mw(a,b,1)|0}function rw(a){a=a|0;return sw(a,0)|0}function sw(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;e=c[42251]|0;if(!e){c[42252]=64;e=ww(64)|0;c[42251]=e}j=d<<24>>24==0;i=0;f=0;h=b;while(1){if(!h)break;d=a[h>>0]|0;if(!(d<<24>>24))break;b=c[42252]|0;if((i|0)>(b+-8|0)){e=b<<1;c[42252]=e;e=yw(c[42251]|0,e)|0;c[42251]=e;e=e+i|0;d=a[h>>0]|0}a:do switch(d<<24>>24){case 38:{if(j?(tw(h)|0)!=0:0)k=18;else{f=5;d=87164}break}case 60:{f=4;d=87187;break}case 62:{f=4;d=87170;break}case 45:{f=5;d=87181;break}default:{if((f|0)!=0&d<<24>>24==32)if((a[f>>0]|0)==32){f=6;d=87157;break a}else{k=18;break a}switch(d<<24>>24){case 34:{f=6;d=87150;break a}case 39:{f=5;d=87175;break a}case 10:if(j){k=18;break a}else{f=5;d=87144;break a}default:{k=18;break a}}}}while(0);if((k|0)==18){k=0;d=j|d<<24>>24!=13;f=d?1:5;d=d?h:87138}g=e+f|0;b=f;while(1){if(!b)break;a[e>>0]=a[d>>0]|0;b=b+-1|0;d=d+1|0;e=e+1|0}b=h;i=f+i|0;e=g;h=h+1|0;f=b}a[e>>0]=0;return c[42251]|0}function tw(b){b=b|0;var c=0,d=0;d=b+1|0;c=a[d>>0]|0;a:do if(c<<24>>24==35){d=b+2|0;c=a[d>>0]|0;switch(c<<24>>24){case 88:case 120:break;default:{b=d;while(1){d=b+1|0;if((c+-48&255)>=10)break a;b=d;c=a[d>>0]|0}}}d=b+3|0;while(1){c=a[d>>0]|0;if((c+-48&255)>=10)switch(c<<24>>24){case 65:case 66:case 67:case 68:case 69:case 70:case 97:case 98:case 99:case 100:case 101:case 102:break;default:break a}d=d+1|0}}else while(1){b=d+1|0;if(((c&-33)+-65&255)>=26)break a;d=b;c=a[b>>0]|0}while(0);return c<<24>>24==59|0}function uw(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0;d=c[42253]|0;if(!d){c[42254]=64;d=ww(64)|0;c[42253]=d;i=0}else i=0;while(1){if(!b)break;e=a[b>>0]|0;if(!(e<<24>>24))break;f=c[42254]|0;if((i|0)>(f+-8|0)){d=f<<1;c[42254]=d;d=yw(c[42253]|0,d)|0;c[42253]=d;d=d+i|0;e=a[b>>0]|0}switch(e<<24>>24){case 38:{if(!(tw(b)|0)){g=5;e=87164}else j=12;break}case 60:{g=4;e=87187;break}case 62:{g=4;e=87170;break}case 34:{g=6;e=87150;break}case 39:{g=5;e=87175;break}default:j=12}if((j|0)==12){j=0;g=1;e=b}h=d+g|0;f=g;while(1){if(!f)break;a[d>>0]=a[e>>0]|0;f=f+-1|0;e=e+1|0;d=d+1|0}i=g+i|0;d=h;b=b+1|0}a[d>>0]=0;return c[42253]|0}function vw(a){a=a|0;var b=0;if(!a)a=0;else{b=ww(a)|0;VN(b|0,0,a|0)|0;a=b}return a|0}function ww(a){a=a|0;if(a){a=ZI(a)|0;if(!a){XL(96532,14,1,c[13918]|0)|0;a=0}}else a=0;return a|0}function xw(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;a=aJ(a,O(d,b)|0)|0;if(!((b|0)!=0&(a|0)==0)){if(b>>>0>e>>>0)VN(a+(O(e,d)|0)|0,0,O(b-e|0,d)|0)|0}else XL(96532,14,1,c[13918]|0)|0;return a|0}function yw(a,b){a=a|0;b=b|0;a=aJ(a,b)|0;if((b|0)!=0&(a|0)==0)XL(96532,14,1,c[13918]|0)|0;return a|0}function zw(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0.0,m=0,n=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+80|0;r=u+40|0;q=u+32|0;n=u+24|0;m=u;s=4;t=ZI(40)|0;c[t>>2]=0;f=u+68|0;g=u+64|0;if(0){o=0;ha(57,a|0,f|0,g|0);i=o;o=0;if((i|0)!=0&(p|0)!=0){j=SN(c[i>>2]|0,t|0,s|0)|0;if(!j)Ua(i|0,p|0);z=p}else j=-1;if((j|0)!=1){j=c[13918]|0;i=c[f>>2]|0;f=c[g>>2]|0;o=0;c[m>>2]=87236;c[m+4>>2]=i;c[m+8>>2]=f;c[m+12>>2]=d;c[m+16>>2]=b;aa(13,j|0,87192,m|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)!=1){o=0;ea(1);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)!=1)j=6;else{f=z;j=15}}else{f=z;j=15}}else{f=z;j=15}}else j=6;do if((j|0)==6){o=0;f=_(20,a|0)|0;g=o;o=0;if((g|0)!=0&(p|0)!=0){i=SN(c[g>>2]|0,t|0,s|0)|0;if(!i)Ua(g|0,p|0);z=p}else i=-1;if((i|0)!=1){if(!f){o=0;ea(2);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;break}}if((d|0)<1){o=0;ea(3);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;break}f=0;break}else{c[42255]=(e|0)>-1?e:30;t=RN(169024,1,t|0,s|0)|0;s=z;o=0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;break}f=0;j=15;break}}else{f=z;j=15}}while(0);a:do if((j|0)==15){b:while(1){if(f|0){f=2;break a}o=0;ea(4);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue}a=c[13918]|0;m=0;while(1){o=0;j=Z(1)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}if(!j)break;o=0;f=_(21,j|0)|0;g=o;o=0;if((g|0)!=0&(p|0)!=0){i=SN(c[g>>2]|0,t|0,s|0)|0;if(!i)Ua(g|0,p|0);z=p}else i=-1;if((i|0)==1){f=z;j=15;continue b}o=0;ga(24,j|0,f|0);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}m=m+1|0;do if(((m|0)%100|0|0)==0&0!=0){f=(m|0)%1e3|0;if((f|0)==100){o=0;$(27,87236,a|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}o=0;c[n>>2]=m;aa(13,a|0,87254,n|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}break}o=0;c[q>>2]=m;aa(13,a|0,87254,q|0)|0;g=o;o=0;if((g|0)!=0&(p|0)!=0){i=SN(c[g>>2]|0,t|0,s|0)|0;if(!i)Ua(g|0,p|0);z=p}else i=-1;if((i|0)==1){f=z;j=15;continue b}if(!f){o=0;$(28,10,a|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}}}while(0);if((m|0)>=(d|0))break}switch(b|0){case 1:{o=0;ea(5);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}break}case 2:{o=0;ea(6);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}break}default:{o=0;ea(7);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}o=0;ea(3);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}}}if(!0){f=0;break a}if((m|0)>99){o=0;$(28,10,a|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue}}f=c[42295]|0;g=c[42296]|0;o=0;k=+X(1);i=o;o=0;if((i|0)!=0&(p|0)!=0){j=SN(c[i>>2]|0,t|0,s|0)|0;if(!j)Ua(i|0,p|0);z=p}else j=-1;if((j|0)==1){f=z;j=15;continue}o=0;c[r>>2]=87236;c[r+4>>2]=f;c[r+8>>2]=g;c[r+12>>2]=m;h[r+16>>3]=k;aa(13,a|0,87258,r|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15}else break}f=0}while(0);_I(t|0);l=u;return f|0}function Aw(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;a=(c[a+16>>2]|0)+192|0;e=0;h=0;while(1){a=c[a>>2]|0;if(!a)break;g=c[a+16>>2]|0;f=c[g+180>>2]|0;a=0;while(1){if(!(c[f+(a<<2)>>2]|0))break;a=a+1|0;e=e+1|0}a=g+164|0;h=h+1|0}c[b>>2]=h;c[d>>2]=e;return}function Bw(b){b=b|0;var d=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0;c[42298]=b;c[42305]=0;c[42296]=0;c[42295]=0;i=b+16|0;b=(c[i>>2]|0)+192|0;h=0;f=0;while(1){b=c[b>>2]|0;if(!b)break;g=c[b+16>>2]|0;a[g+157>>0]=0;h=h+1|0;c[42295]=h;d=c[g+180>>2]|0;b=0;while(1){if(!(c[d+(b<<2)>>2]|0))break;k=f+1|0;c[42296]=k;b=b+1|0;f=k}b=g+164|0}b=c[42306]|0;if(!b)b=ww(h<<2)|0;else b=yw(b,h<<2)|0;c[42306]=b;c[42307]=0;b=c[42300]|0;if(!b)b=ww(c[42295]<<2)|0;else b=yw(b,c[42295]<<2)|0;c[42300]=b;c[42299]=0;d=1;b=(c[i>>2]|0)+192|0;while(1){b=c[b>>2]|0;if(!b)break;k=b+16|0;i=c[k>>2]|0;j=i+292|0;c[j>>2]=0;i=c[i+172>>2]|0;h=d;g=0;b=0;while(1){d=c[i+(g<<2)>>2]|0;if(!d)break;f=b+1|0;c[j>>2]=f;b=c[d+16>>2]|0;c[b+160>>2]=0;c[b+164>>2]=-1;if(!h)b=0;else{l=c[d>>2]&3;b=((c[(c[(c[((l|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((l|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)|0)<(e[b+170>>1]|0|0)?0:h}h=b;g=g+1|0;b=f}b=vw((g<<2)+4|0)|0;d=c[k>>2]|0;c[d+264>>2]=b;c[d+268>>2]=0;d=c[d+180>>2]|0;b=0;do{l=b;b=b+1|0}while((c[d+(l<<2)>>2]|0)!=0);d=vw(b<<2)|0;b=c[k>>2]|0;c[b+272>>2]=d;c[b+276>>2]=0;d=h;b=b+164|0}return d|0}function Cw(){var a=0,b=0,d=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;n=o+8|0;k=o;m=zA(c[42295]|0)|0;a=(c[(c[42298]|0)+16>>2]|0)+192|0;while(1){b=c[a>>2]|0;if(!b){j=0;break}d=b+16|0;a=c[d>>2]|0;if(!(c[a+292>>2]|0)){BA(m,b);a=c[d>>2]|0}a=a+164|0}while(1){a=CA(m)|0;if(!a)break;i=a+16|0;a=c[i>>2]|0;f=a+232|0;c[f>>2]=0;d=c[a+172>>2]|0;b=0;h=0;while(1){g=c[d+(b<<2)>>2]|0;if(!g){f=0;break}g=(c[(c[(c[((c[g>>2]&3|0)==3?g:g+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)+(e[(c[g+16>>2]|0)+170>>1]|0)|0;g=(h|0)>(g|0)?h:g;c[f>>2]=g;b=b+1|0;h=g}while(1){b=c[(c[a+180>>2]|0)+(f<<2)>>2]|0;if(!b)break;d=b+-48|0;g=(c[(c[((c[b>>2]&3|0)==2?b:d)+40>>2]|0)+16>>2]|0)+292|0;h=c[g>>2]|0;c[g>>2]=h+-1;if((h|0)<2){BA(m,c[((c[b>>2]&3|0)==2?b:d)+40>>2]|0);a=c[i>>2]|0}f=f+1|0}j=j+1|0}a:do if((j|0)!=(c[42295]|0)){_l(1,87590,k)|0;a=(c[(c[42298]|0)+16>>2]|0)+192|0;while(1){b=c[a>>2]|0;if(!b)break a;d=b+16|0;a=c[d>>2]|0;if(c[a+292>>2]|0){k=Dn(b)|0;a=c[(c[d>>2]|0)+292>>2]|0;c[n>>2]=k;c[n+4>>2]=a;_l(3,87612,n)|0;a=c[d>>2]|0}a=a+164|0}}while(0);AA(m);l=o;return}function Dw(){var b=0,d=0,e=0;b=(c[(c[42298]|0)+16>>2]|0)+192|0;while(1){b=c[b>>2]|0;if(!b)break;e=b+16|0;b=c[e>>2]|0;d=c[b+264>>2]|0;if(d){_I(d);b=c[e>>2]|0}d=c[b+272>>2]|0;if(d){_I(d);b=c[e>>2]|0}a[b+157>>0]=0;b=b+164|0}return}function Ew(){var a=0,b=0,d=0,e=0,f=0;a=(c[(c[42298]|0)+16>>2]|0)+192|0;while(1){a=c[a>>2]|0;if(!a)break;a=c[a+16>>2]|0;c[a+280>>2]=0;a=a+164|0}f=vw(c[42295]<<2)|0;e=0;a=(c[(c[42298]|0)+16>>2]|0)+192|0;while(1){b=c[a>>2]|0;if(!b)break;d=b+16|0;a=c[d>>2]|0;if(!(c[a+280>>2]|0)){c[f+(e<<2)>>2]=Rw(b)|0;b=e+1|0;a=c[d>>2]|0}else b=e;e=b;a=a+164|0}a=Sw(f,e)|0;while(1){if((Tw(a)|0)<=1)break;Xw(a,c[(Ww(Vw(Uw(a)|0)|0)|0)+8>>2]|0)}_I(a);a=0;while(1){if((a|0)>=(e|0))break;_I(c[f+(a<<2)>>2]|0);a=a+1|0}_I(f);if((c[42299]|0)==((c[42295]|0)+-1|0)){Yw();return}else ma(87335,87365,523,87370)}function Fw(){var a=0,b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;i=c[42305]|0;f=c[42299]|0;j=c[42300]|0;k=c[42255]|0;b=0;a=0;g=i;while(1){if((g|0)>=(f|0)){h=8;break}e=c[j+(g<<2)>>2]|0;d=c[(c[e+16>>2]|0)+160>>2]|0;if((d|0)<0){if(!a)a=e;else a=(c[(c[a+16>>2]|0)+160>>2]|0)>(d|0)?e:a;b=b+1|0;if((b|0)>=(k|0))break}e=g+1|0;c[42305]=e;g=e}if((h|0)==8)if((i|0)>0){f=0;while(1){if((f|0)>=(i|0))break;d=c[j+(f<<2)>>2]|0;e=c[(c[d+16>>2]|0)+160>>2]|0;if((e|0)<0){if(!a)a=d;else a=(c[(c[a+16>>2]|0)+160>>2]|0)>(e|0)?d:a;b=b+1|0;if((b|0)>=(k|0))break}f=f+1|0}c[42305]=f}return a|0}function Gw(a){a=a|0;var b=0,d=0;b=c[a>>2]&3;d=c[((b|0)==3?a:a+48|0)+40>>2]|0;a=c[((b|0)==2?a:a+-48|0)+40>>2]|0;b=(c[(c[d+16>>2]|0)+288>>2]|0)<(c[(c[a+16>>2]|0)+288>>2]|0);a=b?d:a;c[42301]=0;c[42302]=2147483647;d=c[a+16>>2]|0;c[42303]=c[d+284>>2];c[42304]=c[d+288>>2];if(b)Qw(a);else Pw(a);return c[42301]|0}function Hw(a,b){a=a|0;b=b|0;var d=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;n=o;g=c[b>>2]&3;m=b+-48|0;j=b+48|0;k=b+16|0;g=(c[(c[(c[((g|0)==2?b:m)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((g|0)==3?b:j)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[(c[k>>2]|0)+170>>1]|0)|0;do if((g|0)>0){d=c[a>>2]&3;h=c[((d|0)==3?a:a+48|0)+40>>2]|0;i=c[h+16>>2]|0;if(((c[i+276>>2]|0)+(c[i+268>>2]|0)|0)==1){Lw(h,g);break}d=c[((d|0)==2?a:a+-48|0)+40>>2]|0;f=c[d+16>>2]|0;if(((c[f+276>>2]|0)+(c[f+268>>2]|0)|0)==1){Lw(d,0-g|0);break}if((c[i+288>>2]|0)<(c[f+288>>2]|0)){Lw(h,g);break}else{Lw(d,0-g|0);break}}while(0);d=a+16|0;f=c[(c[d>>2]|0)+160>>2]|0;g=c[b>>2]&3;g=Mw(c[((g|0)==3?b:j)+40>>2]|0,c[((g|0)==2?b:m)+40>>2]|0,f,1)|0;i=c[b>>2]&3;if((Mw(c[((i|0)==2?b:m)+40>>2]|0,c[((i|0)==3?b:j)+40>>2]|0,f,0)|0)==(g|0)){c[(c[k>>2]|0)+160>>2]=0-f;c[(c[d>>2]|0)+160>>2]=0;Nw(a,b);n=c[g+16>>2]|0;Ow(g,c[n+280>>2]|0,c[n+284>>2]|0)|0;l=o;return}else{_l(1,87296,n)|0;Ua(169024,1)}}function Iw(){var b=0,d=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;Kw();m=vw((c[42297]<<2)+4|0)|0;d=c[42297]|0;b=0;while(1){if((b|0)>(d|0))break;c[m+(b<<2)>>2]=0;b=b+1|0}b=(c[(c[42298]|0)+16>>2]|0)+192|0;d=b;while(1){d=c[d>>2]|0;if(!d)break;d=c[d+16>>2]|0;if(!(a[d+156>>0]|0)){l=m+(c[d+232>>2]<<2)|0;c[l>>2]=(c[l>>2]|0)+1}d=d+164|0}while(1){b=c[b>>2]|0;if(!b)break;l=b+16|0;b=c[l>>2]|0;if(!(a[b+156>>0]|0)){h=c[42297]|0;f=c[b+172>>2]|0;k=0;j=0;d=0;while(1){g=c[f+(d<<2)>>2]|0;if(!g)break;n=c[g+16>>2]|0;i=(c[(c[(c[((c[g>>2]&3|0)==3?g:g+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)+(e[n+170>>1]|0)|0;k=(c[n+156>>2]|0)+k|0;j=(j|0)>(i|0)?j:i;d=d+1|0}g=c[b+180>>2]|0;i=0;d=0;while(1){f=c[g+(d<<2)>>2]|0;if(!f)break;o=c[f+16>>2]|0;n=(c[(c[(c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[o+170>>1]|0)|0;i=(c[o+156>>2]|0)+i|0;h=(h|0)<(n|0)?h:n;d=d+1|0}d=(j|0)>0?j:0;if((k|0)==(i|0)){g=d;f=d;while(1){d=f+1|0;if((f|0)>=(h|0))break;g=(c[m+(d<<2)>>2]|0)<(c[m+(g<<2)>>2]|0)?d:g;f=d}o=b+232|0;n=m+(c[o>>2]<<2)|0;c[n>>2]=(c[n>>2]|0)+-1;n=m+(g<<2)|0;c[n>>2]=(c[n>>2]|0)+1;c[o>>2]=g}d=c[b+264>>2]|0;if(d){_I(d);b=c[l>>2]|0}d=c[b+272>>2]|0;if(d){_I(d);b=c[l>>2]|0}a[b+157>>0]=0}b=b+164|0}_I(m);return}function Jw(){var a=0,b=0,d=0,f=0,g=0,h=0;b=0;while(1){if((b|0)>=(c[42299]|0))break;a=c[(c[42300]|0)+(b<<2)>>2]|0;do if(((c[(c[a+16>>2]|0)+160>>2]|0)==0?(d=Gw(a)|0,d|0):0)?(f=c[d>>2]&3,f=(c[(c[(c[((f|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((f|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[(c[d+16>>2]|0)+170>>1]|0)|0,(f|0)>=2):0){h=c[a>>2]&3;g=c[((h|0)==3?a:a+48|0)+40>>2]|0;a=c[((h|0)==2?a:a+-48|0)+40>>2]|0;if((c[(c[g+16>>2]|0)+288>>2]|0)<(c[(c[a+16>>2]|0)+288>>2]|0)){Lw(g,f>>>1);break}else{Lw(a,(f|0)/-2|0);break}}while(0);b=b+1|0}Dw();return}function Kw(){var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0;i=l;l=l+16|0;h=i;c[h>>2]=0;c[h>>2]=2147483647;c[42297]=-2147483647;b=(c[(c[42298]|0)+16>>2]|0)+192|0;e=b;g=2147483647;f=-2147483647;while(1){d=c[e>>2]|0;if(!d)break;e=c[d+16>>2]|0;if(!(a[e+156>>0]|0)){j=c[e+232>>2]|0;d=(g|0)<(j|0)?g:j;c[h>>2]=d;f=(f|0)>(j|0)?f:j;c[42297]=f}else d=g;e=e+164|0;g=d}if(g|0){while(1){b=c[b>>2]|0;if(!b)break;b=c[b+16>>2]|0;j=b+232|0;c[j>>2]=(c[j>>2]|0)-g;b=b+164|0}c[42297]=f-g;c[h>>2]=0}l=i;return}function Lw(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;f=a+16|0;a=c[f>>2]|0;e=a+232|0;c[e>>2]=(c[e>>2]|0)-b;e=0;while(1){d=c[(c[a+272>>2]|0)+(e<<2)>>2]|0;if(!d){e=0;break}if((d|0)!=(c[a+280>>2]|0)){Lw(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0,b);a=c[f>>2]|0}e=e+1|0}while(1){d=c[(c[a+264>>2]|0)+(e<<2)>>2]|0;if(!d)break;if((d|0)!=(c[a+280>>2]|0)){Lw(c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0,b);a=c[f>>2]|0}e=e+1|0}return}function Mw(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;g=(e|0)==0&1;h=0-d|0;f=c[(c[b+16>>2]|0)+288>>2]|0;b=a;while(1){a=c[b+16>>2]|0;if((c[a+284>>2]|0)<=(f|0)?(f|0)<=(c[a+288>>2]|0):0)break;a=c[a+280>>2]|0;i=a+48|0;j=(c[a+16>>2]|0)+160|0;c[j>>2]=(((b|0)==(c[((c[a>>2]&3|0)==3?a:i)+40>>2]|0)?e:g)|0?d:h)+(c[j>>2]|0);j=c[a>>2]&3;i=c[((j|0)==3?a:i)+40>>2]|0;a=c[((j|0)==2?a:a+-48|0)+40>>2]|0;b=(c[(c[i+16>>2]|0)+288>>2]|0)>(c[(c[a+16>>2]|0)+288>>2]|0)?i:a}return b|0}function Nw(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;i=a+16|0;e=(c[i>>2]|0)+164|0;c[(c[b+16>>2]|0)+164>>2]=c[e>>2];c[(c[42300]|0)+(c[e>>2]<<2)>>2]=b;c[(c[i>>2]|0)+164>>2]=-1;i=(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)+16|0;e=c[i>>2]|0;g=e+276|0;f=c[g>>2]|0;j=f+-1|0;c[g>>2]=j;g=e+272|0;h=0;while(1){if((h|0)>=(f|0)){k=3;break}d=c[g>>2]|0;if((c[d+(h<<2)>>2]|0)==(a|0))break;h=h+1|0}if((k|0)==3)d=c[e+272>>2]|0;c[d+(h<<2)>>2]=c[d+(j<<2)>>2];c[(c[(c[i>>2]|0)+272>>2]|0)+(j<<2)>>2]=0;i=(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0)+16|0;e=c[i>>2]|0;g=e+268|0;f=c[g>>2]|0;j=f+-1|0;c[g>>2]=j;g=e+264|0;h=0;while(1){if((h|0)>=(f|0)){k=8;break}d=c[g>>2]|0;if((c[d+(h<<2)>>2]|0)==(a|0))break;h=h+1|0}if((k|0)==8)d=c[e+264>>2]|0;c[d+(h<<2)>>2]=c[d+(j<<2)>>2];c[(c[(c[i>>2]|0)+264>>2]|0)+(j<<2)>>2]=0;k=(c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)+16|0;a=c[k>>2]|0;j=c[a+272>>2]|0;a=a+276|0;i=c[a>>2]|0;c[a>>2]=i+1;c[j+(i<<2)>>2]=b;k=c[k>>2]|0;c[(c[k+272>>2]|0)+(c[k+276>>2]<<2)>>2]=0;k=(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)+16|0;i=c[k>>2]|0;j=c[i+264>>2]|0;i=i+268|0;a=c[i>>2]|0;c[i>>2]=a+1;c[j+(a<<2)>>2]=b;k=c[k>>2]|0;c[(c[k+264>>2]|0)+(c[k+268>>2]<<2)>>2]=0;return}function Ow(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;g=a+16|0;a=c[g>>2]|0;c[a+280>>2]=b;c[a+284>>2]=d;f=0;while(1){e=c[(c[a+272>>2]|0)+(f<<2)>>2]|0;if(!e){f=0;break}if((e|0)!=(b|0)){d=Ow(c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0,e,d)|0;a=c[g>>2]|0}f=f+1|0}while(1){e=c[(c[a+264>>2]|0)+(f<<2)>>2]|0;if(!e)break;if((e|0)!=(b|0)){d=Ow(c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0,e,d)|0;a=c[g>>2]|0}f=f+1|0}c[a+288>>2]=d;return d+1|0}function Pw(a){a=a|0;var b=0,d=0,f=0,g=0,h=0,i=0,j=0;i=a+16|0;g=0;while(1){a=c[i>>2]|0;d=c[(c[a+180>>2]|0)+(g<<2)>>2]|0;if(!d){d=0;break}f=c[d+16>>2]|0;if((c[f+164>>2]|0)<0){a=c[d>>2]&3;b=c[(c[((a|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0;j=c[b+288>>2]|0;if((c[42303]|0)>(j|0)|(j|0)>(c[42304]|0)?(h=(c[b+232>>2]|0)-(c[(c[(c[((a|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[f+170>>1]|0)|0,(h|0)<(c[42302]|0)|(c[42301]|0)==0):0){c[42301]=d;c[42302]=h}}else{b=c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0;if((c[(c[b+16>>2]|0)+288>>2]|0)<(c[a+288>>2]|0))Pw(b)}g=g+1|0}while(1){b=c[(c[a+264>>2]|0)+(d<<2)>>2]|0;if(!((b|0)!=0&(c[42302]|0)>0))break;b=c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0;if((c[(c[b+16>>2]|0)+288>>2]|0)<(c[a+288>>2]|0)){Pw(b);a=c[i>>2]|0}d=d+1|0}return}function Qw(a){a=a|0;var b=0,d=0,f=0,g=0,h=0,i=0,j=0;i=a+16|0;g=0;while(1){a=c[i>>2]|0;d=c[(c[a+172>>2]|0)+(g<<2)>>2]|0;if(!d){d=0;break}f=c[d+16>>2]|0;if((c[f+164>>2]|0)<0){a=c[d>>2]&3;b=c[(c[((a|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0;j=c[b+288>>2]|0;if((c[42303]|0)>(j|0)|(j|0)>(c[42304]|0)?(h=(c[(c[(c[((a|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[b+232>>2]|0)-(e[f+170>>1]|0)|0,(h|0)<(c[42302]|0)|(c[42301]|0)==0):0){c[42301]=d;c[42302]=h}}else{b=c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0;if((c[(c[b+16>>2]|0)+288>>2]|0)<(c[a+288>>2]|0))Qw(b)}g=g+1|0}while(1){b=c[(c[a+272>>2]|0)+(d<<2)>>2]|0;if(!((b|0)!=0&(c[42302]|0)>0))break;b=c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0;if((c[(c[b+16>>2]|0)+288>>2]|0)<(c[a+288>>2]|0)){Qw(b);a=c[i>>2]|0}d=d+1|0}return}function Rw(a){a=a|0;var b=0;b=vw(16)|0;c[b>>2]=a;c[b+4>>2]=fx(a,b)|0;c[b+12>>2]=b;return b|0}function Sw(a,b){a=a|0;b=b|0;var d=0,e=0;e=vw(8)|0;c[e>>2]=a;c[e+4>>2]=b;d=0;while(1){if((d|0)>=(b|0))break;c[(c[a+(d<<2)>>2]|0)+8>>2]=d;d=d+1|0}d=(b|0)/2|0;while(1){if((d|0)<=-1)break;Xw(e,d);d=d+-1|0}return e|0}function Tw(a){a=a|0;return c[a+4>>2]|0}function Uw(a){a=a|0;var b=0,d=0,e=0,f=0;f=c[a>>2]|0;b=c[f>>2]|0;c[b+8>>2]=-1;d=a+4|0;e=(c[d>>2]|0)+-1|0;c[f>>2]=c[f+(e<<2)>>2];f=c[a>>2]|0;c[(c[f>>2]|0)+8>>2]=0;c[f+(e<<2)>>2]=b;c[d>>2]=e;Xw(a,0);return b|0}function Vw(a){a=a|0;return ex(c[a>>2]|0,0,0)|0}function Ww(a){a=a|0;var b=0,d=0,f=0,g=0,h=0,i=0;b=a+16|0;if((c[(c[b>>2]|0)+164>>2]|0)>-1)ma(87384,87365,463,87398);g=a+48|0;d=ax(c[((c[a>>2]&3|0)==3?a:g)+40>>2]|0)|0;i=a+-48|0;f=ax(c[((c[a>>2]&3|0)==2?a:i)+40>>2]|0)|0;h=c[a>>2]&3;b=(c[(c[(c[((h|0)==2?a:i)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((h|0)==3?a:g)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[(c[b>>2]|0)+170>>1]|0)|0;if((c[d+8>>2]|0)==-1)bx(c[d>>2]|0,0,b);else bx(c[f>>2]|0,0,0-b|0);cx(a);return dx(d,f)|0}function Xw(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;h=c[a>>2]|0;g=c[a+4>>2]|0;while(1){a=b<<1;f=a+2|0;a=a|1;if(!((a|0)<(g|0)?(c[(c[h+(a<<2)>>2]|0)+4>>2]|0)<(c[(c[h+(b<<2)>>2]|0)+4>>2]|0):0))a=b;if((f|0)>=(g|0))break;d=h+(f<<2)|0;e=c[d>>2]|0;if((f|0)==(b|0)?1:(c[e+4>>2]|0)>=(c[(c[h+(a<<2)>>2]|0)+4>>2]|0))break;i=h+(b<<2)|0;a=c[i>>2]|0;c[i>>2]=e;c[d>>2]=a;c[(c[i>>2]|0)+8>>2]=b;c[a+8>>2]=f;b=f}return}function Yw(){Ow(c[(c[(c[42298]|0)+16>>2]|0)+192>>2]|0,0,1)|0;Zw(c[(c[(c[42298]|0)+16>>2]|0)+192>>2]|0,0);return}function Zw(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;f=a+16|0;d=0;while(1){a=c[f>>2]|0;e=c[(c[a+272>>2]|0)+(d<<2)>>2]|0;if(!e){e=0;break}if((e|0)!=(b|0))Zw(c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0,e);d=d+1|0}while(1){d=c[(c[a+264>>2]|0)+(e<<2)>>2]|0;if(!d)break;if((d|0)!=(b|0)){Zw(c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0,d);a=c[f>>2]|0}e=e+1|0}if(b|0)_w(b);return}function _w(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0;b=c[a>>2]&3;d=c[((b|0)==3?a:a+48|0)+40>>2]|0;e=c[d+16>>2]|0;if((c[e+280>>2]|0)==(a|0))i=1;else{e=c[((b|0)==2?a:a+-48|0)+40>>2]|0;i=-1;d=e;e=c[e+16>>2]|0}g=c[e+180>>2]|0;b=0;f=0;while(1){h=c[g+(f<<2)>>2]|0;if(!h)break;b=($w(h,d,i)|0)+b|0;f=f+1|0}g=c[e+172>>2]|0;e=0;while(1){f=c[g+(e<<2)>>2]|0;if(!f)break;b=($w(f,d,i)|0)+b|0;e=e+1|0}c[(c[a+16>>2]|0)+160>>2]=b;return}function $w(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;h=c[a>>2]&3;i=(h|0)==3?a:a+48|0;e=c[i+40>>2]|0;if((e|0)==(b|0))e=c[((h|0)==2?a:a+-48|0)+40>>2]|0;g=c[b+16>>2]|0;f=c[(c[e+16>>2]|0)+288>>2]|0;if((c[g+284>>2]|0)<=(f|0)?(f|0)<=(c[g+288>>2]|0):0){f=c[a+16>>2]|0;if((c[f+164>>2]|0)>-1)e=c[f+160>>2]|0;else e=0;g=1;e=e-(c[f+156>>2]|0)|0}else{g=0;e=c[(c[a+16>>2]|0)+156>>2]|0}i=(c[((d|0)>0?((h|0)==2?a:a+-48|0):i)+40>>2]|0)==(b|0)?1:-1;return (((g?i:0-i|0)|0)<0?0-e|0:e)|0}function ax(a){a=a|0;var b=0,d=0;a=c[(c[a+16>>2]|0)+280>>2]|0;while(1){b=a+12|0;d=c[b>>2]|0;if(!((d|0)!=(a|0)&(d|0)!=0))break;a=c[d+12>>2]|0;if(!a){a=d;continue}c[b>>2]=a}return a|0}function bx(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;h=a+16|0;e=c[h>>2]|0;g=e+232|0;c[g>>2]=(c[g>>2]|0)+d;g=0;while(1){f=c[(c[e+264>>2]|0)+(g<<2)>>2]|0;if(!f){g=0;break}f=c[((c[f>>2]&3|0)==3?f:f+48|0)+40>>2]|0;if((f|0)!=(b|0)){bx(f,a,d);e=c[h>>2]|0}g=g+1|0}while(1){f=c[(c[e+272>>2]|0)+(g<<2)>>2]|0;if(!f)break;f=c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0;if((f|0)!=(b|0)){bx(f,a,d);e=c[h>>2]|0}g=g+1|0}return}function cx(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;h=l;l=l+32|0;d=(c[b+16>>2]|0)+164|0;if((c[d>>2]|0)>-1){_l(1,87487,h)|0;Ua(169024,1)}g=c[42299]|0;c[d>>2]=g;d=c[42300]|0;c[42299]=g+1;c[d+(g<<2)>>2]=b;d=c[b>>2]|0;g=b+48|0;e=c[((d&3|0)==3?b:g)+40>>2]|0;if(!(a[(c[e+16>>2]|0)+157>>0]|0)){f=c[42306]|0;d=c[42307]|0;c[42307]=d+1;c[f+(d<<2)>>2]=e;d=c[b>>2]|0}f=b+-48|0;e=c[((d&3|0)==2?b:f)+40>>2]|0;if(!(a[(c[e+16>>2]|0)+157>>0]|0)){i=c[42306]|0;d=c[42307]|0;c[42307]=d+1;c[i+(d<<2)>>2]=e;d=c[b>>2]|0}i=(c[((d&3|0)==3?b:g)+40>>2]|0)+16|0;d=c[i>>2]|0;a[d+157>>0]=1;e=c[d+272>>2]|0;d=d+276|0;g=c[d>>2]|0;c[d>>2]=g+1;c[e+(g<<2)>>2]=b;g=c[i>>2]|0;c[(c[g+272>>2]|0)+(c[g+276>>2]<<2)>>2]=0;i=c[i>>2]|0;if(!(c[(c[i+180>>2]|0)+((c[i+276>>2]|0)+-1<<2)>>2]|0)){_l(1,87521,h+8|0)|0;Ua(169024,1)}i=(c[((c[b>>2]&3|0)==2?b:f)+40>>2]|0)+16|0;e=c[i>>2]|0;a[e+157>>0]=1;f=c[e+264>>2]|0;e=e+268|0;g=c[e>>2]|0;c[e>>2]=g+1;c[f+(g<<2)>>2]=b;b=c[i>>2]|0;c[(c[b+264>>2]|0)+(c[b+268>>2]<<2)>>2]=0;i=c[i>>2]|0;if(!(c[(c[i+172>>2]|0)+((c[i+268>>2]|0)+-1<<2)>>2]|0)){_l(1,87556,h+16|0)|0;Ua(169024,1)}else{l=h;return}}function dx(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0;while(1){g=a+12|0;d=c[g>>2]|0;if((d|0)==0|(d|0)==(a|0))break;else a=d}while(1){f=b+12|0;d=c[f>>2]|0;if((d|0)==0|(d|0)==(b|0))break;else b=d}if((a|0)!=(b|0)){e=c[a+8>>2]|0;d=c[b+8>>2]|0;do if((e|0)>-1)if((d|0)==-1)h=a;else j=10;else if((d|0)>-1)if((e|0)==-1){h=b;break}else{j=10;break}else ma(87410,87365,327,87457);while(0);if((j|0)==10)h=(c[b+4>>2]|0)<(c[a+4>>2]|0)?a:b;c[f>>2]=h;c[g>>2]=h;c[h+4>>2]=(c[b+4>>2]|0)+(c[a+4>>2]|0);if((c[h+8>>2]|0)>-1)i=h;else ma(87468,87365,335,87457)}else i=a;return i|0}function ex(a,b,d){a=a|0;b=b|0;d=d|0;var f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;l=ax(a)|0;if(d){k=c[d>>2]&3;if(((c[(c[(c[((k|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((k|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)|0)!=(e[(c[d+16>>2]|0)+170>>1]|0|0))f=3}else{d=0;f=3}a:do if((f|0)==3){k=a+16|0;j=0;while(1){f=c[k>>2]|0;i=c[(c[f+180>>2]|0)+(j<<2)>>2]|0;if(!i){j=0;break}f=i+16|0;g=i+-48|0;h=c[((c[i>>2]&3|0)==2?i:g)+40>>2]|0;do if((c[(c[f>>2]|0)+164>>2]|0)>-1){if((h|0)!=(b|0))d=ex(h,a,d)|0}else if((ax(h)|0)!=(l|0)){if(d|0?(m=c[i>>2]&3,h=c[d>>2]&3,((c[(c[(c[((m|0)==2?i:g)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((m|0)==3?i:i+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[(c[f>>2]|0)+170>>1]|0)|0)>=((c[(c[(c[((h|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((h|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[(c[d+16>>2]|0)+170>>1]|0)|0)):0)break;d=i}while(0);j=j+1|0}while(1){f=c[(c[f+172>>2]|0)+(j<<2)>>2]|0;if(!f)break a;g=f+16|0;h=f+48|0;i=c[((c[f>>2]&3|0)==3?f:h)+40>>2]|0;do if((c[(c[g>>2]|0)+164>>2]|0)>-1){if((i|0)!=(b|0))d=ex(i,a,d)|0}else if((ax(i)|0)!=(l|0)){if(d|0?(i=c[f>>2]&3,m=c[d>>2]&3,((c[(c[(c[((i|0)==2?f:f+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((i|0)==3?f:h)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[(c[g>>2]|0)+170>>1]|0)|0)>=((c[(c[(c[((m|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((m|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[(c[d+16>>2]|0)+170>>1]|0)|0)):0)break;d=f}while(0);j=j+1|0;f=c[k>>2]|0}}while(0);return d|0}function fx(a,b){a=a|0;b=b|0;var d=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;l=a+16|0;d=c[l>>2]|0;c[d+280>>2]=b;a=1;h=0;while(1){g=c[(c[d+172>>2]|0)+(h<<2)>>2]|0;if(!g){h=0;break}f=c[g+16>>2]|0;if(((c[f+164>>2]|0)<=-1?(i=c[g>>2]&3,j=g+48|0,k=c[(c[((i|0)==3?g:j)+40>>2]|0)+16>>2]|0,(c[k+280>>2]|0)==0):0)?((c[(c[(c[((i|0)==2?g:g+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[k+232>>2]|0)|0)==(e[f+170>>1]|0|0):0){cx(g);a=(fx(c[((c[g>>2]&3|0)==3?g:j)+40>>2]|0,b)|0)+a|0;d=c[l>>2]|0}h=h+1|0}while(1){f=c[(c[d+180>>2]|0)+(h<<2)>>2]|0;if(!f)break;g=c[f+16>>2]|0;if(((c[g+164>>2]|0)<=-1?(m=c[f>>2]&3,n=f+-48|0,o=c[(c[((m|0)==2?f:n)+40>>2]|0)+16>>2]|0,(c[o+280>>2]|0)==0):0)?((c[o+232>>2]|0)-(c[(c[(c[((m|0)==3?f:f+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)|0)==(e[g+170>>1]|0|0):0){cx(f);a=(fx(c[((c[f>>2]&3|0)==2?f:n)+40>>2]|0,b)|0)+a|0;d=c[l>>2]|0}h=h+1|0}return a|0}function gx(a,b,c){a=a|0;b=b|0;c=c|0;var d=0;d=Im(a,87620)|0;if(!d)d=30;else d=rM(d)|0;return zw(a,b,c,d)|0}function hx(a){a=+a;return +((c[42183]|0)==0?a:+h[20895]-a)}function ix(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0.0,t=0.0,u=0;r=l;l=l+16|0;q=r;c[42308]=c[(c[(c[d+64>>2]|0)+8>>2]|0)+4>>2];jx(d);i=c[d+16>>2]|0;t=+h[i+32>>3];s=+h[i+40>>3];kx(e,87631,+h[b+352>>3]);kx(e,87638,t*.013888888888888888);kx(e,87638,s*.013888888888888888);lx(e);i=co(d)|0;while(1){if(!i)break;g=i+16|0;if(!(a[(c[g>>2]|0)+118>>0]|0)){mx(e,87640,Wp(Dn(i)|0)|0);p=(c[g>>2]|0)+16|0;c[q>>2]=c[p>>2];c[q+4>>2]=c[p+4>>2];c[q+8>>2]=c[p+8>>2];c[q+12>>2]=c[p+12>>2];nx(e,q);if(!(a[(c[(c[g>>2]|0)+104>>2]|0)+82>>0]|0)){b=ro(i)|0;b=ox(b,c[c[(c[g>>2]|0)+104>>2]>>2]|0)|0}else b=Wp(Jm(i,c[42198]|0)|0)|0;kx(e,87638,+h[(c[g>>2]|0)+32>>3]);kx(e,87638,+h[(c[g>>2]|0)+40>>3]);mx(e,87638,b);mx(e,87638,GA(i,c[42201]|0,95889)|0);mx(e,87638,c[c[(c[g>>2]|0)+8>>2]>>2]|0);mx(e,87638,GA(i,c[42192]|0,122106)|0);b=GA(i,c[42193]|0,174181)|0;if(!(a[b>>0]|0))b=GA(i,c[42192]|0,119592)|0;mx(e,87638,b);lx(e)}i=eo(d,i)|0}o=f<<24>>24==0;n=co(d)|0;while(1){if(!n)break;m=Pm(d,n)|0;while(1){if(!m)break;if(o){f=174181;j=174181}else{j=Im(m,96242)|0;f=Im(m,96251)|0;f=f|0?f:174181;j=j|0?j:174181}p=m+16|0;b=c[p>>2]|0;k=c[b+8>>2]|0;a:do if(k){i=c[k+4>>2]|0;b=0;g=0;while(1){if((b|0)>=(i|0))break;u=(c[(c[k>>2]|0)+(b*48|0)+4>>2]|0)+g|0;b=b+1|0;g=u}mx(e,0,96237);px(e,c[((c[m>>2]&3|0)==3?m:m+48|0)+40>>2]|0,j);px(e,c[((c[m>>2]&3|0)==2?m:m+-48|0)+40>>2]|0,f);qx(e,g);f=0;while(1){b=c[p>>2]|0;g=c[b+8>>2]|0;if((f|0)>=(c[g+4>>2]|0))break a;i=c[g>>2]|0;g=c[i+(f*48|0)>>2]|0;i=c[i+(f*48|0)+4>>2]|0;b=0;while(1){if((b|0)>=(i|0))break;u=g+(b<<4)|0;c[q>>2]=c[u>>2];c[q+4>>2]=c[u+4>>2];c[q+8>>2]=c[u+8>>2];c[q+12>>2]=c[u+12>>2];nx(e,q);b=b+1|0}f=f+1|0}}while(0);if(c[b+96>>2]|0){u=ro(c[((c[m>>2]&3|0)==3?m:m+48|0)+40>>2]|0)|0;mx(e,87638,ox(u,c[c[(c[p>>2]|0)+96>>2]>>2]|0)|0);u=(c[(c[p>>2]|0)+96>>2]|0)+56|0;c[q>>2]=c[u>>2];c[q+4>>2]=c[u+4>>2];c[q+8>>2]=c[u+8>>2];c[q+12>>2]=c[u+12>>2];nx(e,q)}mx(e,87638,GA(m,c[42229]|0,95889)|0);mx(e,87638,GA(m,c[42220]|0,122106)|0);lx(e);m=Rm(d,m)|0}n=eo(d,n)|0}rx(87646,e);l=r;return}function jx(a){a=a|0;var b=0.0;if(c[42183]|0){a=c[a+16>>2]|0;b=+h[a+24>>3]+ +h[a+40>>3];h[20895]=b;h[20896]=b*.013888888888888888}return}function kx(a,b,c){a=a|0;b=b|0;c=+c;var d=0,e=0,f=0;f=l;l=l+1040|0;e=f;d=f+8|0;if(b|0)rx(b,a);h[e>>3]=c;pL(d,87652,e)|0;rx(d,a);l=f;return}function lx(b){b=b|0;a[174077]=10;ab[c[42308]&63](b,174077)|0;return}function mx(a,b,c){a=a|0;b=b|0;c=c|0;if(b|0)rx(b,a);rx(c,a);return}function nx(a,b){a=a|0;b=b|0;var d=0.0;kx(a,87638,+h[b>>3]*.013888888888888888);if(!(c[42183]|0))d=+h[b+8>>3];else d=+h[20895]-+h[b+8>>3];kx(a,87638,d*.013888888888888888);return}function ox(a,b){a=a|0;b=b|0;var c=0;c=$o(a,b)|0;b=Wp(c)|0;bp(a,c)|0;return b|0}function px(b,d,e){b=b|0;d=d|0;e=e|0;var f=0;if(!(a[(c[d+16>>2]|0)+118>>0]|0))d=Wp(Dn(d)|0)|0;else{f=ro(d)|0;d=ox(f,(WJ(Dn(d)|0,58)|0)+1|0)|0}mx(b,87638,d);if(e|0?a[e>>0]|0:0)mx(b,93017,Wp(e)|0);return}function qx(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=l;l=l+1040|0;f=d;e=d+8|0;rx(87638,a);c[f>>2]=b;pL(e,122187,f)|0;rx(e,a);l=d;return}function rx(a,b){a=a|0;b=b|0;ab[c[42308]&63](b,a)|0;return}
function EB(a,b){a=a|0;b=b|0;if((+h[a+16>>3]>=+h[b>>3]?+h[b+16>>3]>=+h[a>>3]:0)?+h[a+24>>3]>=+h[b+8>>3]:0)a=+h[b+24>>3]>=+h[a+8>>3]&1;else a=0;return a|0}function FB(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+96|0;k=n+64|0;j=n+48|0;i=n+32|0;f=n+16|0;g=n;m=a+4|0;d=c[m>>2]|0;if(!d)ma(94759,92694,1637,94767);e=c[a>>2]|0;c[g>>2]=c[e>>2];c[g+4>>2]=c[e+4>>2];c[g+8>>2]=c[e+8>>2];c[g+12>>2]=c[e+12>>2];e=1;while(1){if((e|0)>=(d|0)){h=7;break}d=(c[a>>2]|0)+(e<<4)|0;c[f>>2]=c[d>>2];c[f+4>>2]=c[d+4>>2];c[f+8>>2]=c[d+8>>2];c[f+12>>2]=c[d+12>>2];c[i>>2]=c[d>>2];c[i+4>>2]=c[d+4>>2];c[i+8>>2]=c[d+8>>2];c[i+12>>2]=c[d+12>>2];c[j>>2]=c[g>>2];c[j+4>>2]=c[g+4>>2];c[j+8>>2]=c[g+8>>2];c[j+12>>2]=c[g+12>>2];c[k>>2]=c[b>>2];c[k+4>>2]=c[b+4>>2];c[k+8>>2]=c[b+8>>2];c[k+12>>2]=c[b+12>>2];c[k+16>>2]=c[b+16>>2];c[k+20>>2]=c[b+20>>2];c[k+24>>2]=c[b+24>>2];c[k+28>>2]=c[b+28>>2];if((Yv(i,j,k)|0)!=-1){d=1;break};c[g>>2]=c[f>>2];c[g+4>>2]=c[f+4>>2];c[g+8>>2]=c[f+8>>2];c[g+12>>2]=c[f+12>>2];e=e+1|0;d=c[m>>2]|0}do if((h|0)==7){d=c[a+8>>2]|0;if(d|0?(g=a+16|0,h=c[a>>2]|0,c[i>>2]=c[g>>2],c[i+4>>2]=c[g+4>>2],c[i+8>>2]=c[g+8>>2],c[i+12>>2]=c[g+12>>2],c[j>>2]=c[h>>2],c[j+4>>2]=c[h+4>>2],c[j+8>>2]=c[h+8>>2],c[j+12>>2]=c[h+12>>2],c[k>>2]=c[b>>2],c[k+4>>2]=c[b+4>>2],c[k+8>>2]=c[b+8>>2],c[k+12>>2]=c[b+12>>2],c[k+16>>2]=c[b+16>>2],c[k+20>>2]=c[b+20>>2],c[k+24>>2]=c[b+24>>2],c[k+28>>2]=c[b+28>>2],(GB(i,j,d,k)|0)<<24>>24):0){d=1;break}d=c[a+12>>2]|0;if(d|0?(h=a+32|0,m=(c[a>>2]|0)+((c[m>>2]|0)+-1<<4)|0,c[i>>2]=c[h>>2],c[i+4>>2]=c[h+4>>2],c[i+8>>2]=c[h+8>>2],c[i+12>>2]=c[h+12>>2],c[j>>2]=c[m>>2],c[j+4>>2]=c[m+4>>2],c[j+8>>2]=c[m+8>>2],c[j+12>>2]=c[m+12>>2],c[k>>2]=c[b>>2],c[k+4>>2]=c[b+4>>2],c[k+8>>2]=c[b+8>>2],c[k+12>>2]=c[b+12>>2],c[k+16>>2]=c[b+16>>2],c[k+20>>2]=c[b+20>>2],c[k+24>>2]=c[b+24>>2],c[k+28>>2]=c[b+28>>2],(GB(i,j,d,k)|0)<<24>>24):0){d=1;break}d=0}while(0);l=n;return d|0}function GB(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0.0;m=l;l=l+160|0;g=m+144|0;f=m+128|0;n=m+96|0;i=m+64|0;j=m+32|0;k=m;o=+h[e+16>>3];c[f>>2]=c[a>>2];c[f+4>>2]=c[a+4>>2];c[f+8>>2]=c[a+8>>2];c[f+12>>2]=c[a+12>>2];c[g>>2]=c[b>>2];c[g+4>>2]=c[b+4>>2];c[g+8>>2]=c[b+8>>2];c[g+12>>2]=c[b+12>>2];Rt(n,f,g,1.0,d);if(((o>=+h[n>>3]?(c[f>>2]=c[a>>2],c[f+4>>2]=c[a+4>>2],c[f+8>>2]=c[a+8>>2],c[f+12>>2]=c[a+12>>2],c[g>>2]=c[b>>2],c[g+4>>2]=c[b+4>>2],c[g+8>>2]=c[b+8>>2],c[g+12>>2]=c[b+12>>2],Rt(i,f,g,1.0,d),+h[i+16>>3]>=+h[e>>3]):0)?(o=+h[e+24>>3],c[f>>2]=c[a>>2],c[f+4>>2]=c[a+4>>2],c[f+8>>2]=c[a+8>>2],c[f+12>>2]=c[a+12>>2],c[g>>2]=c[b>>2],c[g+4>>2]=c[b+4>>2],c[g+8>>2]=c[b+8>>2],c[g+12>>2]=c[b+12>>2],Rt(j,f,g,1.0,d),o>=+h[j+8>>3]):0)?(c[f>>2]=c[a>>2],c[f+4>>2]=c[a+4>>2],c[f+8>>2]=c[a+8>>2],c[f+12>>2]=c[a+12>>2],c[g>>2]=c[b>>2],c[g+4>>2]=c[b+4>>2],c[g+8>>2]=c[b+8>>2],c[g+12>>2]=c[b+12>>2],Rt(k,f,g,1.0,d),+h[k+24>>3]>=+h[e+8>>3]):0)f=1;else f=0;l=m;return f|0}function HB(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;g=l;l=l+16|0;f=g;a:do if((b|0)!=0?(e=a[b>>0]|0,e<<24>>24!=0):0){do switch(e<<24>>24|0){case 48:{d=2;break a}case 57:case 56:case 55:case 54:case 53:case 52:case 51:case 50:case 49:{d=10;break a}case 67:case 99:{e=b+1|0;if(!(iK(e,94782)|0)){d=4;break a}if(!(iK(e,94788)|0)){d=12;break a}break}case 70:case 102:{if(!(iK(b+1|0,94796)|0)){d=2;break a}break}case 76:case 108:{if(!(iK(b+1|0,94801)|0)){d=2;break a}break}case 78:case 110:{e=b+1|0;if(!(iK(e,94805)|0)){d=0;break a}if(!(iK(e,94809)|0)){d=2;break a}break}case 79:case 111:{if(!(iK(b+1|0,94811)|0)){d=8;break a}break}case 80:case 112:{if(!(iK(b+1|0,94816)|0)){d=6;break a}break}case 83:case 115:{if(!(iK(b+1|0,94824)|0)){d=10;break a}break}case 84:case 116:{if(!(iK(b+1|0,94830)|0)){d=10;break a}break}case 89:case 121:{if(!(iK(b+1|0,94834)|0)){d=10;break a}break}default:{}}while(0);c[f>>2]=b;_l(0,94837,f)|0}while(0);l=g;return d|0}function IB(d,f){d=d|0;f=f|0;var g=0;g=Im(d,94878)|0;if(g)if(!(a[g>>0]|0))f=0;else f=HB(g,f)|0;d=(c[d+16>>2]|0)+136|0;b[d>>1]=f|e[d>>1];return}function JB(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=+d;e=e|0;var f=0.0,g=0.0,i=0.0,j=0.0,k=0.0,m=0,n=0,o=0.0,p=0,q=0.0,r=0,s=0.0,t=0,u=0,v=0,w=0;v=l;l=l+32|0;p=v+16|0;r=v;t=e&1;u=e&2;a:do if((c|0)==2){s=+h[a+16>>3];f=+h[a>>3];j=+h[a+24>>3];i=+h[a+8>>3];f=f-(s-f);h[p>>3]=f;h[r>>3]=s;i=i-(j-i);h[p+8>>3]=i;h[r+8>>3]=j}else{g=+h[a>>3];h[r>>3]=g;h[p>>3]=g;j=+h[a+8>>3];m=r+8|0;h[m>>3]=j;n=p+8|0;h[n>>3]=j;e=0;f=g;i=j;while(1){if((e|0)>=(c|0)){s=g;break a}w=a+(e<<4)|0;q=+h[w>>3];k=+h[(q<f?w:p)>>3];h[p>>3]=k;s=+h[a+(e<<4)+8>>3];o=+h[(s<i?w:p)+8>>3];h[n>>3]=o;q=+h[(q>g?w:r)>>3];h[r>>3]=q;s=+h[(s>j?w:r)+8>>3];h[m>>3]=s;e=e+1|0;f=k;i=o;g=q;j=s}}while(0);g=(s-f)*.5;q=g+f;o=(j-i)*.5;k=o+i;if(!t){f=j-k;j=d;i=+F(+j);j=+E(+j);if(!u){g=i*f-k;f=-k-o*i}else{f=i*f;g=k-f;f=f+k}h[b+8>>3]=g;h[b+24>>3]=f;d=j*(s-q);h[b>>3]=q-d;h[b+16>>3]=d+q}else{d=+C(+(o*o+g*g));h[b+8>>3]=u|0?k:-k;h[b>>3]=q;h[b+16>>3]=d*.25;h[b+24>>3]=d}l=v;return}function KB(a,b){a=a|0;b=b|0;var d=0.0,e=0,f=0;e=a+16|0;f=c[e>>2]|0;if(!(b<<24>>24)){d=+h[f+32>>3]*36.0;h[f+88>>3]=d;a=f+40|0}else{d=+h[f+40>>3]*36.0;h[f+88>>3]=d;a=f+32|0}h[f+96>>3]=d;h[(c[e>>2]|0)+80>>3]=+h[a>>3]*72.0;return}function LB(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,A=0;y=l;l=l+16|0;j=y+8|0;x=4;w=ZI(40)|0;c[w>>2]=0;s=y;o=0;e=_(22,b|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,w|0,x|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;a:do if((g|0)!=1){o=0;v=_(23,e<<3|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){e=SN(c[f>>2]|0,w|0,x|0)|0;if(!e)Ua(f|0,p|0);z=p}else e=-1;if((e|0)!=1){if(!(a[174076]|0))t=0;else{o=0;e=Z(2)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,w|0,x|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){n=0;k=0;m=0;j=0;i=0;d=v;h=v;e=z;g=0;u=74;break}t=e}o=0;e=$(31,b|0,94886)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,w|0,x|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)!=1){c[42366]=0;b:do if(e|0?(i=a[e>>0]|0,i<<24>>24):0){h=e;f=i;g=0;while(1){i=h+1|0;if(!(f<<24>>24))break b;switch(f<<24>>24|0){case 99:{e=8;u=16;break}case 105:{e=18;u=16;break}case 109:{e=1;u=16;break}case 114:{e=4;u=16;break}case 115:{e=2;u=16;break}default:e=g}if((u|0)==16){u=0;e=g|e;c[42366]=e}h=i;f=a[i>>0]|0;g=e}}while(0);if(d|0){o=0;aa(11,0,94890,j|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){n=0;k=t;m=0;j=0;i=0;d=v;h=v;e=z;g=0;u=74;break}}o=0;r=$(32,b|0,0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)!=1){m=c[r+16>>2]|0;if(c[42366]&2|0){o=0;ga(25,c[13918]|0,m|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){n=0;k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break}}o=0;g=_(24,b|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)!=1){n=0;while(1){if(!g)break;o=0;e=$(33,b|0,g|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){h=SN(c[f>>2]|0,w|0,x|0)|0;if(!h)Ua(f|0,p|0);z=p}else h=-1;if((h|0)==1){k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break a}i=n;while(1){if(!e)break;if(!(0==2?(c[(c[e+16>>2]|0)+8>>2]|0)!=0:0))u=32;c:do if((u|0)==32){u=0;do if(a[174076]|0){k=c[e>>2]&3;j=(c[c[((k|0)==3?e:e+48|0)+40>>2]>>2]|0)>>>4;k=(c[c[((k|0)==2?e:e+-48|0)+40>>2]>>2]|0)>>>4;if(j>>>0>k>>>0){o=0;f=aa(15,t|0,k|0,j|0)|0;h=o;o=0;if((h|0)!=0&(p|0)!=0){d=SN(c[h>>2]|0,w|0,x|0)|0;if(!d)Ua(h|0,p|0);z=p}else d=-1;if((d|0)==1){k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break a}if(f|0)break c;o=0;ha(59,t|0,k|0,j|0);f=o;o=0;if((f|0)!=0&(p|0)!=0){h=SN(c[f>>2]|0,w|0,x|0)|0;if(!h)Ua(f|0,p|0);z=p}else h=-1;if((h|0)==1){k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break a}break}else{o=0;f=aa(15,t|0,j|0,k|0)|0;h=o;o=0;if((h|0)!=0&(p|0)!=0){d=SN(c[h>>2]|0,w|0,x|0)|0;if(!d)Ua(h|0,p|0);z=p}else d=-1;if((d|0)==1){k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break a}if(f|0)break c;o=0;ha(59,t|0,j|0,k|0);f=o;o=0;if((f|0)!=0&(p|0)!=0){h=SN(c[f>>2]|0,w|0,x|0)|0;if(!h)Ua(f|0,p|0);z=p}else h=-1;if((h|0)==1){k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break a}break}}while(0);c[v+(i<<3)+4>>2]=e;o=0;h=_(25,e|0)|0;d=o;o=0;if((d|0)!=0&(p|0)!=0){f=SN(c[d>>2]|0,w|0,x|0)|0;if(!f)Ua(d|0,p|0);z=p}else f=-1;if((f|0)==1){k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break a}c[v+(i<<3)>>2]=h;i=i+1|0}while(0);o=0;e=$(34,b|0,e|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){h=SN(c[f>>2]|0,w|0,x|0)|0;if(!h)Ua(f|0,p|0);z=p}else h=-1;if((h|0)==1){k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break a}}o=0;g=$(35,b|0,g|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break a}n=i}o=0;j=_(26,n<<3|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)!=1){o=0;ja(25,v|0,n|0,8,36);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)!=1){g=c[m>>2]|0;o=0;fa(87,g+2|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)!=1){i=c[m+16>>2]|0;d=i+(g*40|0)|0;i=i+((g+1|0)*40|0)|0;q=c[13918]|0;h=0;while(1){if((h|0)>=(n|0))break;if((h|0)>0?c[42366]&16|0:0){o=0;ga(25,q|0,m|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74;break a}}e=c[v+(h<<3)+4>>2]|0;k=c[e>>2]&3;g=c[(c[(c[((k|0)==3?e:e+48|0)+40>>2]|0)+16>>2]|0)+112>>2]|0;e=c[(c[(c[((k|0)==2?e:e+-48|0)+40>>2]|0)+16>>2]|0)+112>>2]|0;if((g|0)==(e|0)){o=0;ja(26,m|0,g|0,i|0,d|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74;break a}}else{o=0;ha(60,m|0,e|0,i|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74;break a}o=0;ha(60,m|0,g|0,d|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74;break a}}o=0;e=aa(16,m|0,i|0,d|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,w|0,x|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74;break a}if(e|0){k=t;m=j;i=r;d=v;h=v;break a}e=j+(h<<3)|0;o=0;ja(27,s|0,m|0,d|0,i|0);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,w|0,x|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74;break a}g=s;k=c[g+4>>2]|0;c[e>>2]=c[g>>2];c[e+4>>2]=k;o=0;fa(88,m|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74;break a}h=h+1|0}o=0;ea(8);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)!=1){o=0;e=_(27,r|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,w|0,x|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)!=1){c[r+20>>2]=e;o=0;e=_(28,r|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,w|0,x|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)!=1){c[r+24>>2]=e;o=0;ha(61,n|0,j|0,r|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)!=1){w=RN(169468,1,w|0,x|0)|0;x=z;o=0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)!=1){k=t;m=j;i=r;d=v;h=v;e=0;g=q;u=74}else{k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74}}else{k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74}}else{k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74}}else{k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74}}else{k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74}}else{k=t;m=j;i=r;d=v;h=v;e=z;g=0;u=74}}else{k=t;m=j;i=r;d=v;h=v;e=z;g=0;u=74}}else{k=t;m=0;i=r;d=v;h=v;e=z;g=0;u=74}}else{n=0;k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74}}else{n=0;k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74}}else{n=0;k=t;m=0;j=0;i=0;d=v;h=v;e=z;g=0;u=74}}else{n=0;k=0;m=0;j=0;i=0;d=0;h=v;e=z;g=0;u=74}}else{n=0;k=0;m=0;j=0;i=0;d=0;h=0;e=z;g=0;u=74}while(0);d:while(1){if((u|0)==74){u=0;if(e|0){q=g;continue}o=0;fa(89,i|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){A=g;f=h;q=d;r=i;s=j;t=m;v=k;u=n;e=z;g=A;h=f;d=q;i=r;j=s;m=t;k=v;n=u;u=74;continue}if(c[42366]&4|0){o=0;ka(7,g|0,i|0,n|0,m|0,d|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){f=g;q=h;r=d;s=i;t=j;v=m;A=k;u=n;e=z;g=f;h=q;d=r;i=s;j=t;m=v;k=A;n=u;u=74;continue}}o=0;la(10,b|0,i|0,n|0,m|0,d|0,0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){f=g;q=h;r=d;s=i;t=j;v=m;A=k;u=n;e=z;g=f;h=q;d=r;i=s;j=t;m=v;k=A;n=u;u=74;continue}q=g}if(!(a[174076]|0))e=0;else{o=0;fa(90,k|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;g=q;u=74;continue}e=0}while(1){if((e|0)>=(n|0))break;o=0;fa(91,c[m+(e<<3)+4>>2]|0);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,w|0,x|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;g=q;u=74;continue d}e=e+1|0}o=0;fa(91,j|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;g=q;u=74;continue}o=0;fa(92,i|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;g=q;u=74;continue}o=0;fa(91,h|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;g=q;u=74}else break}_I(w|0);l=y;return}function MB(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0;q=l;l=l+64|0;p=q+32|0;o=q+16|0;j=q;k=q+48|0;WL(95757,a)|0;WL(95768,a)|0;m=b+16|0;n=j+8|0;i=k+4|0;g=0;while(1){if((g|0)>=(c[b>>2]|0))break;d=c[m>>2]|0;e=c[d+(g*40|0)+20>>2]|0;f=c[d+(g*40|0)+24>>2]|0;if((e|0)==(f|0)){FC(j,e);d=~~+h[j>>3];e=~~+h[n>>3]}else{HC(k,(c[e>>2]&1|0)==0?e:f,d+(g*40|0)|0);d=c[k>>2]|0;e=c[i>>2]|0}c[o>>2]=g;c[o+4>>2]=d;c[o+8>>2]=e;zL(a,95788,o)|0;g=g+1|0}f=b+4|0;e=b+20|0;d=0;while(1){if((d|0)>=(c[f>>2]|0))break;o=c[e>>2]|0;b=c[o+(d*24|0)+16>>2]|0;r=+h[o+(d*24|0)>>3];c[p>>2]=c[o+(d*24|0)+12>>2];c[p+4>>2]=b;h[p+8>>3]=r;zL(a,95808,p)|0;d=d+1|0}WL(95830,a)|0;l=q;return}function NB(a){a=a|0;var b=0.0,d=0.0,e=0,f=0;f=c[a>>2]&3;e=c[(c[((f|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0;a=c[(c[((f|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0;b=+h[e+16>>3]-+h[a+16>>3];d=+h[e+24>>3]-+h[a+24>>3];return ~~(d*d+b*b)|0}function OB(a,b){a=a|0;b=b|0;return (c[a>>2]|0)-(c[b>>2]|0)|0}function PB(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+32|0;j=n;FC(n+16|0,d);k=d+32|0;m=d+36|0;g=0;while(1){if((g|0)>=(c[k>>2]|0))break;h=c[(c[m>>2]|0)+(g<<2)>>2]|0;do if(!(a[h+36>>0]|0)){i=c[h+20>>2]|0;if((i|0)==(d|0)){DC(j,h,c[h+24>>2]|0);YC(b,f,h,0.0)|0;break}else{DC(j,h,i);YC(b,e,h,0.0)|0;break}}while(0);g=g+1|0}c[b>>2]=(c[b>>2]|0)+2;l=n;return}function QB(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+32|0;h=k;FC(k+16|0,b);i=b+32|0;j=b+36|0;f=0;while(1){if((f|0)>=(c[i>>2]|0))break;g=c[(c[j>>2]|0)+(f<<2)>>2]|0;e=c[g+20>>2]|0;if((e|0)==(b|0))e=c[g+24>>2]|0;DC(h,g,e);YC(a,d,g,0.0)|0;f=f+1|0}c[a>>2]=(c[a>>2]|0)+1;c[d+24>>2]=b;c[d+20>>2]=b;l=k;return}function RB(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0.0,m=0.0,n=0,o=0.0,p=0.0,q=0,r=0,s=0,t=0,u=0,v=0,w=0.0,x=0.0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0;H=l;l=l+128|0;C=H+64|0;n=H+48|0;D=H+32|0;E=H+16|0;F=H;g=0;i=e;while(1){if(!i)break;g=g+1|0;i=c[i+8>>2]|0}B=vw((g*56|0)+-112|0)|0;c[C+52>>2]=0;c[C+48>>2]=0;A=e+8|0;e=c[A>>2]|0;i=c[e+8>>2]|0;g=c[e+20>>2]|0;if(c[g>>2]&1)g=c[e+24>>2]|0;DC(n,e,g);j=e;q=e;p=0.0;o=+h[n>>3];z=0;m=0.0;x=+h[n+8>>3];while(1){y=i+8|0;if(!(c[y>>2]|0))break;v=EC(j,i)|0;uG(d,v,c[q+12>>2]|0);t=q+36|0;u=i+36|0;if((a[t>>0]|0)==(a[u>>0]|0))if((c[y>>2]|0)==(f|0)){DC(E,i,v);e=E;G=12}else{j=q;e=z;k=x}else{FC(D,v);e=D;G=12}if((G|0)==12){G=0;w=+h[e>>3];k=+h[e+8>>3];e=a[t>>0]|0;s=e<<24>>24==0;r=(q|0)==(c[A>>2]|0);if(s){if(!(a[u>>0]|0))e=0;else e=(c[i+20>>2]|0)==(v|0)?4:2;n=v+48|0;q=g+48|0;j=g+40|0;g=r?0:p>o?4:2}else{if(e<<24>>24==(a[u>>0]|0))e=0;else e=(c[i+20>>2]|0)==(v|0)?1:3;n=v+40|0;q=g+40|0;j=g+48|0;g=r?0:m>x?1:3}GC(C,s&1,+h[j>>3],+h[q>>3],+h[n>>3],g,e);q=z+1|0;g=B+(z*56|0)|0;e=C;j=g+56|0;do{c[g>>2]=c[e>>2];g=g+4|0;e=e+4|0}while((g|0)<(j|0));if((a[t>>0]|0)!=(a[u>>0]|0)?(c[y>>2]|0)==(f|0):0){DC(F,i,v);n=(a[u>>0]|0)==0;e=v+40|0;g=v+48|0;p=+h[(n?g:e)>>3];GC(C,n&1,+h[(n?e:g)>>3],p,p,n?(o>w?4:2):x>k?1:3,0);n=z+2|0;g=B+(q*56|0)|0;e=C;j=g+56|0;do{c[g>>2]=c[e>>2];g=g+4|0;e=e+4|0}while((g|0)<(j|0));g=v;j=i;p=o;o=w;e=n;m=x}else{g=v;j=i;p=o;o=w;e=q;m=x}}v=i;i=c[y>>2]|0;q=j;z=e;x=k;j=v}i=aJ(B,z*56|0)|0;e=z+-1|0;g=0;while(1){if((g|0)>=(z|0))break;if((g|0)>0)c[i+(g*56|0)+48>>2]=i+((g+-1|0)*56|0);if((g|0)<(e|0)){G=g+1|0;c[i+(g*56|0)+52>>2]=i+(G*56|0);g=G;continue}else{g=g+1|0;continue}}c[b>>2]=z;c[b+4>>2]=i;l=H;return}function SB(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0,j=0,k=0;j=Ql(24676,c[4345]|0)|0;k=a+8|0;i=0;while(1){if((i|0)>=(c[a>>2]|0))break;b=(c[k>>2]|0)+(i*72|0)|0;if(!(c[b>>2]&4)){while(1){d=c[(c[b+36>>2]|0)+8>>2]|0;if(!d)break;d=c[d+20>>2]|0;if(!d)break;if(!(c[d>>2]&1))b=d;else break}g=vw(40)|0;c[g+36>>2]=b;h[g+8>>3]=+h[b+40>>3];f=b;d=c[b>>2]|0;while(1){c[f>>2]=d|4;d=c[c[f+36>>2]>>2]|0;if(!d)break;e=c[d+24>>2]|0;if(!e)break;d=c[e>>2]|0;if(d&1|0)break;else f=e}h[g+16>>3]=+h[f+56>>3];yC(j,g,+h[b+48>>3])}i=i+1|0}return j|0}function TB(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0,j=0,k=0;j=Ql(24676,c[4345]|0)|0;k=a+8|0;i=0;while(1){if((i|0)>=(c[a>>2]|0))break;b=(c[k>>2]|0)+(i*72|0)|0;if(!(c[b>>2]&2)){while(1){d=c[(c[b+36>>2]|0)+12>>2]|0;if(!d)break;d=c[d+20>>2]|0;if(!d)break;if(!(c[d>>2]&1))b=d;else break}g=vw(40)|0;c[g+36>>2]=b;h[g+8>>3]=+h[b+48>>3];f=b;d=c[b>>2]|0;while(1){c[f>>2]=d|2;d=c[(c[f+36>>2]|0)+4>>2]|0;if(!d)break;e=c[d+24>>2]|0;if(!e)break;d=c[e>>2]|0;if(d&1|0)break;else f=e}h[g+16>>3]=+h[f+64>>3];yC(j,g,+h[b+40>>3])}i=i+1|0}return j|0}function UB(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;j=e+20|0;i=e+24|0;e=0;while(1){if((e|0)>=(b|0))break;g=c[d+(e<<3)>>2]|0;h=c[d+(e<<3)+4>>2]|0;f=0;while(1){if((f|0)>=(g|0))break;k=h+(f*56|0)|0;xC(bC(c[((a[k>>0]|0)==0?j:i)>>2]|0,k)|0,k);f=f+1|0}e=e+1|0}return}function VB(a){a=a|0;var b=0,d=0;d=a+20|0;dC(c[d>>2]|0);b=a+24|0;dC(c[b>>2]|0);eC(c[d>>2]|0);eC(c[b>>2]|0);fC(c[d>>2]|0,a);fC(c[b>>2]|0,a);gC(c[d>>2]|0);gC(c[b>>2]|0);return}function WB(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0.0,B=0.0,C=0.0,D=0,E=0.0;z=l;l=l+224|0;n=z+176|0;m=z+208|0;x=z+160|0;y=z+128|0;k=z+96|0;t=z+64|0;u=z;o=z+32|0;v=u+8|0;h[v>>3]=1797693134862315708145274.0e284;h[u>>3]=1797693134862315708145274.0e284;w=u+24|0;h[w>>3]=-1797693134862315708145274.0e284;p=u+16|0;h[p>>3]=-1797693134862315708145274.0e284;WL(95005,a)|0;c[n>>2]=10;c[n+4>>2]=10;zL(a,95411,n)|0;WL(123076,a)|0;i=b+4|0;j=b+12|0;q=t+8|0;r=t+16|0;s=t+24|0;g=0;while(1){if((g|0)>=(c[i>>2]|0))break;D=(c[j>>2]|0)+(g*72|0)+40|0;c[t>>2]=c[D>>2];c[t+4>>2]=c[D+4>>2];c[t+8>>2]=c[D+8>>2];c[t+12>>2]=c[D+12>>2];c[t+16>>2]=c[D+16>>2];c[t+20>>2]=c[D+20>>2];c[t+24>>2]=c[D+24>>2];c[t+28>>2]=c[D+28>>2];C=+h[q>>3];B=+h[r>>3];A=+h[s>>3];h[k>>3]=+h[t>>3];h[k+8>>3]=C;h[k+16>>3]=B;h[k+24>>3]=A;zL(a,123095,k)|0;g=g+1|0}g=0;while(1){if((g|0)>=(d|0))break;D=c[f+(g<<3)+4>>2]|0;k=e+(g<<3)|0;c[m>>2]=c[k>>2];c[m+4>>2]=c[k+4>>2];c[n>>2]=c[u>>2];c[n+4>>2]=c[u+4>>2];c[n+8>>2]=c[u+8>>2];c[n+12>>2]=c[u+12>>2];c[n+16>>2]=c[u+16>>2];c[n+20>>2]=c[u+20>>2];c[n+24>>2]=c[u+24>>2];c[n+28>>2]=c[u+28>>2];cC(o,a,D,m,b,n);c[u>>2]=c[o>>2];c[u+4>>2]=c[o+4>>2];c[u+8>>2]=c[o+8>>2];c[u+12>>2]=c[o+12>>2];c[u+16>>2]=c[o+16>>2];c[u+20>>2]=c[o+20>>2];c[u+24>>2]=c[o+24>>2];c[u+28>>2]=c[o+28>>2];g=g+1|0}WL(95428,a)|0;i=b+8|0;g=0;while(1){if((g|0)>=(c[b>>2]|0))break;D=(c[i>>2]|0)+(g*72|0)+40|0;c[t>>2]=c[D>>2];c[t+4>>2]=c[D+4>>2];c[t+8>>2]=c[D+8>>2];c[t+12>>2]=c[D+12>>2];c[t+16>>2]=c[D+16>>2];c[t+20>>2]=c[D+20>>2];c[t+24>>2]=c[D+24>>2];c[t+28>>2]=c[D+28>>2];E=+h[t>>3];A=+h[q>>3];B=+h[r>>3];C=+h[s>>3];h[y>>3]=E;h[y+8>>3]=A;h[y+16>>3]=B;h[y+24>>3]=C;zL(a,123132,y)|0;h[u>>3]=+h[(+h[u>>3]<E?u:t)>>3];h[v>>3]=+h[(+h[v>>3]<A?u:t)+8>>3];h[p>>3]=+h[(+h[p>>3]>B?u:t)+16>>3];h[w>>3]=+h[(+h[w>>3]>C?u:t)+24>>3];g=g+1|0}v=~~(+h[v>>3]+10.0);y=~~(+h[p>>3]+10.0);D=~~(+h[w>>3]+10.0);c[x>>2]=~~(+h[u>>3]+10.0);c[x+4>>2]=v;c[x+8>>2]=y;c[x+12>>2]=D;zL(a,95453,x)|0;l=z;return}function XB(b,d,e,f,g,i){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0.0,k=0.0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0;N=l;l=l+112|0;F=N+88|0;E=N+72|0;M=N+32|0;I=N+16|0;J=N;K=N+56|0;L=N+40|0;G=c[13918]|0;w=(i|0)==0;x=J+8|0;y=I+8|0;v=0;m=0;n=0;o=0;p=0;i=0;while(1){if((v|0)>=(e|0))break;z=c[g+(v<<3)+4>>2]|0;A=z+48|0;u=(c[(c[((c[z>>2]&3|0)==3?z:A)+40>>2]|0)+16>>2]|0)+16|0;B=z+16|0;C=(c[B>>2]|0)+16|0;c[E>>2]=c[u>>2];c[E+4>>2]=c[u+4>>2];c[E+8>>2]=c[u+8>>2];c[E+12>>2]=c[u+12>>2];c[F>>2]=c[C>>2];c[F+4>>2]=c[C+4>>2];c[F+8>>2]=c[C+8>>2];c[F+12>>2]=c[C+12>>2];YB(K,E,F);c[I>>2]=c[K>>2];c[I+4>>2]=c[K+4>>2];c[I+8>>2]=c[K+8>>2];c[I+12>>2]=c[K+12>>2];C=z+-48|0;u=(c[(c[((c[z>>2]&3|0)==2?z:C)+40>>2]|0)+16>>2]|0)+16|0;t=(c[B>>2]|0)+56|0;c[E>>2]=c[u>>2];c[E+4>>2]=c[u+4>>2];c[E+8>>2]=c[u+8>>2];c[E+12>>2]=c[u+12>>2];c[F>>2]=c[t>>2];c[F+4>>2]=c[t+4>>2];c[F+8>>2]=c[t+8>>2];c[F+12>>2]=c[t+12>>2];YB(L,E,F);c[J>>2]=c[L>>2];c[J+4>>2]=c[L+4>>2];c[J+8>>2]=c[L+8>>2];c[J+12>>2]=c[L+12>>2];t=c[f+(v<<3)>>2]|0;u=c[f+(v<<3)+4>>2]|0;s=t*3|0;D=s+1|0;if((s|0)>=(n|0)){if(m|0)_I(i);p=ww(D<<4)|0;m=p;n=D;o=p;i=p}if(!(a[u>>0]|0)){k=+(_B(u,d)|0);j=+h[I>>3]}else{j=+ZB(u,d);k=+h[y>>3]}r=m+16|0;h[m+16>>3]=j;h[m+24>>3]=k;c[p>>2]=c[r>>2];c[p+4>>2]=c[r+4>>2];c[p+8>>2]=c[r+8>>2];c[p+12>>2]=c[r+12>>2];r=1;q=u;s=2;while(1){if((r|0)>=(t|0))break;q=u+(r*56|0)|0;if(!(a[q>>0]|0))k=+(_B(q,d)|0);else j=+ZB(q,d);O=m+(s+2<<4)|0;Q=m+(s+1<<4)|0;P=m+(s<<4)|0;h[P>>3]=j;h[m+(s<<4)+8>>3]=k;c[Q>>2]=c[P>>2];c[Q+4>>2]=c[P+4>>2];c[Q+8>>2]=c[P+8>>2];c[Q+12>>2]=c[P+12>>2];c[O>>2]=c[P>>2];c[O+4>>2]=c[P+4>>2];c[O+8>>2]=c[P+8>>2];c[O+12>>2]=c[P+12>>2];r=r+1|0;s=s+3|0}if(!(a[q>>0]|0)){k=+(_B(q,d)|0);j=+h[J>>3]}else{j=+ZB(q,d);k=+h[x>>3]}Q=m+(s<<4)|0;O=s+1|0;P=m+(O<<4)|0;h[P>>3]=j;h[m+(O<<4)+8>>3]=k;c[Q>>2]=c[P>>2];c[Q+4>>2]=c[P+4>>2];c[Q+8>>2]=c[P+8>>2];c[Q+12>>2]=c[P+12>>2];if(0>1){P=Dn(c[((c[z>>2]&3|0)==3?z:A)+40>>2]|0)|0;Q=Dn(c[((c[z>>2]&3|0)==2?z:C)+40>>2]|0)|0;c[M>>2]=P;c[M+4>>2]=Q;zL(G,94964,M)|0}Jz(z,c[((c[z>>2]&3|0)==2?z:C)+40>>2]|0,m,D,24664);if((!w?(H=c[(c[B>>2]|0)+96>>2]|0,H|0):0)?(a[H+81>>0]|0)==0:0){c[E>>2]=c[I>>2];c[E+4>>2]=c[I+4>>2];c[E+8>>2]=c[I+8>>2];c[E+12>>2]=c[I+12>>2];c[F>>2]=c[J>>2];c[F+4>>2]=c[J+4>>2];c[F+8>>2]=c[J+8>>2];c[F+12>>2]=c[J+12>>2];cA(b,z,E,F)}v=v+1|0}_I(o);l=N;return}function YB(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;h[b>>3]=+h[b>>3]+ +h[d>>3];e=b+8|0;h[e>>3]=+h[e>>3]+ +h[d+8>>3];c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];return}function ZB(a,b){a=a|0;b=b|0;var d=0.0,e=0;b=bC(c[b+24>>2]|0,a)|0;e=c[b+36>>2]|0;d=+h[e+40>>3];return +((+h[e+56>>3]-d)*(+(c[a+44>>2]|0)/+((c[b+24>>2]|0)+1|0))+d)}function _B(a,b){a=a|0;b=b|0;var d=0.0,e=0;e=bC(c[b+20>>2]|0,a)|0;b=c[e+36>>2]|0;d=+h[b+48>>3];return ~~((1.0-+(c[a+44>>2]|0)/+((c[e+24>>2]|0)+1|0))*(+h[b+64>>3]-d)+d)|0}function $B(a){a=a|0;return 0}function aC(a){a=a|0;return 0}function bC(a,b){a=a|0;b=b|0;a=bb[c[a>>2]&31](a,b+8|0,512)|0;if(!a)ma(94977,94983,423,94991);a=c[a+16>>2]|0;a=bb[c[a>>2]&31](a,b+16|0,512)|0;if(!a)ma(95002,94983,425,94991);else return a|0;return 0}function cC(b,d,e,f,g,i){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0.0,m=0,n=0,o=0,p=0.0,q=0.0,r=0.0,s=0.0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0.0,C=0.0,D=0.0;z=l;l=l+32|0;y=z+16|0;u=z+8|0;m=z;j=c[(c[(c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0)+16>>2]|0)+112>>2]|0;t=c[f+4>>2]|0;if(!(a[t>>0]|0)){k=+h[j+56>>3];s=+h[j+40>>3];j=_B(t,g)|0;k=(s+k)*.5}else{k=+h[j+64>>3];s=+h[j+48>>3];j=~~((s+k)*.5);k=+ZB(t,g)}A=~~k;p=+h[i>>3];r=+(A|0);p=p<r?p:r;h[i>>3]=p;v=i+8|0;q=+h[v>>3];s=+(j|0);q=q<s?q:s;h[v>>3]=q;w=i+16|0;k=+h[w>>3];r=k>r?k:r;h[w>>3]=r;x=i+24|0;k=+h[x>>3];s=k>s?k:s;h[x>>3]=s;c[m>>2]=A;c[m+4>>2]=j;zL(d,95504,m)|0;o=c[f>>2]|0;m=t;n=1;f=A;while(1){if((n|0)>=(o|0))break;m=t+(n*56|0)|0;if(!(a[m>>0]|0))j=_B(m,g)|0;else f=~~+ZB(m,g);B=+(f|0);D=p<B?p:B;h[i>>3]=D;k=+(j|0);C=q<k?q:k;h[v>>3]=C;B=r>B?r:B;h[w>>3]=B;k=s>k?s:k;h[x>>3]=k;c[u>>2]=f;c[u+4>>2]=j;zL(d,95526,u)|0;n=n+1|0;p=D;q=C;r=B;s=k}j=c[(c[(c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0)+16>>2]|0)+112>>2]|0;if(!(a[m>>0]|0)){k=+h[j+56>>3];D=+h[j+40>>3];j=_B(m,g)|0;k=(D+k)*.5}else{k=+h[j+64>>3];D=+h[j+48>>3];j=~~((D+k)*.5);k=+ZB(m,g)}A=~~k;C=+(A|0);h[i>>3]=p<C?p:C;D=+(j|0);h[v>>3]=q<D?q:D;h[w>>3]=r>C?r:C;h[x>>3]=s>D?s:D;c[y>>2]=A;c[y+4>>2]=j;zL(d,95540,y)|0;c[b>>2]=c[i>>2];c[b+4>>2]=c[i+4>>2];c[b+8>>2]=c[i+8>>2];c[b+12>>2]=c[i+12>>2];c[b+16>>2]=c[i+16>>2];c[b+20>>2]=c[i+20>>2];c[b+24>>2]=c[i+24>>2];c[b+28>>2]=c[i+28>>2];l=z;return}function dC(a){a=a|0;var b=0;a=Ol(a)|0;while(1){if(!a)break;b=Ol(c[a+16>>2]|0)|0;while(1){if(!b)break;c[b+32>>2]=IC(c[b+24>>2]|0)|0;b=c[b>>2]|0}a=c[a>>2]|0}return}function eC(a){a=a|0;var b=0;a=Ol(a)|0;while(1){if(!a)break;b=Ol(c[a+16>>2]|0)|0;while(1){if(!b)break;if(c[b+24>>2]|0)wC(b);b=c[b>>2]|0}a=c[a>>2]|0}return}function fC(a,b){a=a|0;b=b|0;var d=0;d=Ol(a)|0;while(1){if(!d)break;a=Ol(c[d+16>>2]|0)|0;while(1){if(!a)break;kC(a,b);a=c[a>>2]|0}d=c[d>>2]|0}return}function gC(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0;e=Ol(a)|0;while(1){if(!e)break;i=e+8|0;f=Ol(c[e+16>>2]|0)|0;while(1){if(!f)break;a=f+24|0;a:do if(c[a>>2]|0){if(c[42366]&8|0)hC(f,~~+h[i>>3]);g=f+32|0;NC(c[g>>2]|0);b=c[a>>2]|0;d=f+28|0;a=0;while(1){if((a|0)>=(b|0))break a;c[(c[(c[d>>2]|0)+(a<<2)>>2]|0)+44>>2]=(c[(c[(c[g>>2]|0)+4>>2]|0)+(a*12|0)+4>>2]|0)+1;a=a+1|0}}while(0);f=c[f>>2]|0}e=c[e>>2]|0}return}function hC(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0.0,m=0.0;j=l;l=l+32|0;d=j;g=a+24|0;a:do if((c[g>>2]|0)>=2){i=c[13918]|0;m=+h[a+8>>3];k=+h[a+16>>3];c[d>>2]=b;h[d+8>>3]=m;h[d+16>>3]=k;zL(i,95561,d)|0;f=a+32|0;a=a+28|0;b=0;while(1){if((b|0)>=(c[g>>2]|0))break a;e=c[(c[(c[f>>2]|0)+4>>2]|0)+(b*12|0)+8>>2]|0;b:do if(Sl(e)|0){iC(i,c[(c[a>>2]|0)+(b<<2)>>2]|0);WL(95581,i)|0;d=bb[c[e>>2]&31](e,0,128)|0;while(1){if(!d)break b;WL(95586,i)|0;iC(i,c[(c[a>>2]|0)+(c[d>>2]<<2)>>2]|0);WL(134901,i)|0;d=bb[c[e>>2]&31](e,d,8)|0}}while(0);b=b+1|0}}while(0);l=j;return}function iC(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0.0,k=0.0,m=0.0;g=l;l=l+80|0;f=g+40|0;e=g;if(!(a[d>>0]|0)){m=+h[d+16>>3];j=+h[d+8>>3];k=+h[d+24>>3];i=jC(c[d+32>>2]|0)|0;e=jC(c[d+36>>2]|0)|0;h[f>>3]=m;h[f+8>>3]=j;h[f+16>>3]=k;h[f+24>>3]=j;c[f+32>>2]=i;c[f+36>>2]=e;zL(b,95592,f)|0}else{k=+h[d+8>>3];j=+h[d+16>>3];m=+h[d+24>>3];f=jC(c[d+32>>2]|0)|0;i=jC(c[d+36>>2]|0)|0;h[e>>3]=k;h[e+8>>3]=j;h[e+16>>3]=k;h[e+24>>3]=m;c[e+32>>2]=f;c[e+36>>2]=i;zL(b,95592,e)|0}l=g;return}function jC(a){a=a|0;switch(a|0){case 0:{a=95643;break}case 1:{a=95638;break}case 2:{a=95631;break}case 3:{a=95624;break}case 4:{a=95616;break}default:a=0}return a|0}function kC(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0;w=l;l=l+16|0;r=w+8|0;t=w;u=c[a+32>>2]|0;v=c[a+28>>2]|0;p=a+24|0;m=r+4|0;n=t+4|0;j=0;a=c[p>>2]|0;a:while(1){q=j+1|0;if((q|0)>=(a|0))break;o=v+(j<<2)|0;k=q;while(1){if((k|0)>=(a|0)){j=q;continue a}b:do if(((MC(u,j,k)|0)==0?(MC(u,k,j)|0)==0:0)?(s=v+(k<<2)|0,lC(c[o>>2]|0,c[s>>2]|0)|0):0){f=c[o>>2]|0;a=c[f+48>>2]|0;i=c[s>>2]|0;d=c[i+48>>2]|0;e=(d|0)==0;if(a)if(e)a=1;else a=+h[a+8>>3]!=+h[d+8>>3];else a=e^1;g=a&1;mC(r,f,i,0,g);a=c[r>>2]|0;i=c[m>>2]|0;f=g^1;mC(t,c[o>>2]|0,c[s>>2]|0,1,f);d=c[t>>2]|0;e=c[n>>2]|0;switch(i|0){case -1:{nC(c[s>>2]|0,c[o>>2]|0,g,0,a,b);nC(c[s>>2]|0,c[o>>2]|0,f,1,d,b);if((e|0)!=1)break b;oC(c[o>>2]|0,c[s>>2]|0,f,b);break b}case 0:switch(e|0){case -1:{nC(c[s>>2]|0,c[o>>2]|0,g,0,a,b);nC(c[s>>2]|0,c[o>>2]|0,f,1,d,b);break b}case 0:{nC(c[o>>2]|0,c[s>>2]|0,0,g,a,b);nC(c[o>>2]|0,c[s>>2]|0,1,f,d,b);break b}case 1:{nC(c[o>>2]|0,c[s>>2]|0,0,g,a,b);nC(c[o>>2]|0,c[s>>2]|0,1,f,d,b);break b}default:break b}case 1:{nC(c[o>>2]|0,c[s>>2]|0,0,g,a,b);nC(c[o>>2]|0,c[s>>2]|0,1,f,d,b);if((e|0)!=-1)break b;oC(c[o>>2]|0,c[s>>2]|0,f,b);break b}default:break b}}while(0);k=k+1|0;a=c[p>>2]|0}}l=w;return}function lC(a,b){a=a|0;b=b|0;if(!(+h[a+8>>3]==+h[b+8>>3]))ma(95714,94983,843,95745);if((+h[a+16>>3]==+h[b+16>>3]?+h[a+24>>3]==+h[b+24>>3]:0)?(c[a+32>>2]|0)==(c[b+32>>2]|0):0)a=(c[a+36>>2]|0)==(c[b+36>>2]|0)&1;else a=0;return a|0}function mC(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0;g=0;while(1){b=pC(b,e)|0;if(!b){h=0;break}d=pC(d,f)|0;if(!d){i=6;break}if(!(lC(b,d)|0)){i=7;break}g=g+1|0}if((i|0)==6)ma(123205,94983,871,95663);else if((i|0)==7)h=rC(b,qC(b,d)|0,g+1|0,1-e|0)|0;c[a>>2]=g;c[a+4>>2]=h;return}function nC(b,d,e,f,g,i){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0,l=0,m=0,n=0,o=0,p=0;o=i+20|0;n=i+24|0;i=bC(c[((a[b>>0]|0)==0?o:n)>>2]|0,b)|0;KC(c[i+32>>2]|0,c[b+40>>2]|0,c[d+40>>2]|0);k=1;while(1){if((k|0)>(g|0))break;l=pC(b,e)|0;m=pC(d,f)|0;do if(!(a[b>>0]|0)){j=bC(c[n>>2]|0,l)|0;if(+h[l+8>>3]==+h[b+16>>3]){p=(c[b+32>>2]|0)==1;i=(MC(c[i+32>>2]|0,c[b+40>>2]|0,c[d+40>>2]|0)|0)!=0;b=c[j+32>>2]|0;if(p)if(i){KC(b,c[m+40>>2]|0,c[l+40>>2]|0);i=j;break}else{KC(b,c[l+40>>2]|0,c[m+40>>2]|0);i=j;break}else if(i){KC(b,c[l+40>>2]|0,c[m+40>>2]|0);i=j;break}else{KC(b,c[m+40>>2]|0,c[l+40>>2]|0);i=j;break}}else{p=(c[b+36>>2]|0)==1;i=(MC(c[i+32>>2]|0,c[b+40>>2]|0,c[d+40>>2]|0)|0)!=0;b=c[j+32>>2]|0;if(p)if(i){KC(b,c[l+40>>2]|0,c[m+40>>2]|0);i=j;break}else{KC(b,c[m+40>>2]|0,c[l+40>>2]|0);i=j;break}else if(i){KC(b,c[m+40>>2]|0,c[l+40>>2]|0);i=j;break}else{KC(b,c[l+40>>2]|0,c[m+40>>2]|0);i=j;break}}}else{j=bC(c[o>>2]|0,l)|0;if(+h[l+8>>3]==+h[b+16>>3]){p=(c[b+32>>2]|0)==2;i=(MC(c[i+32>>2]|0,c[b+40>>2]|0,c[d+40>>2]|0)|0)!=0;b=c[j+32>>2]|0;if(p)if(i){KC(b,c[l+40>>2]|0,c[m+40>>2]|0);i=j;break}else{KC(b,c[m+40>>2]|0,c[l+40>>2]|0);i=j;break}else if(i){KC(b,c[m+40>>2]|0,c[l+40>>2]|0);i=j;break}else{KC(b,c[l+40>>2]|0,c[m+40>>2]|0);i=j;break}}else{p=(c[b+36>>2]|0)==2;i=(MC(c[i+32>>2]|0,c[b+40>>2]|0,c[d+40>>2]|0)|0)!=0;b=c[j+32>>2]|0;if(p)if(i){KC(b,c[m+40>>2]|0,c[l+40>>2]|0);i=j;break}else{KC(b,c[l+40>>2]|0,c[m+40>>2]|0);i=j;break}else if(i){KC(b,c[l+40>>2]|0,c[m+40>>2]|0);i=j;break}else{KC(b,c[m+40>>2]|0,c[l+40>>2]|0);i=j;break}}}while(0);b=l;d=m;k=k+1|0}return}function oC(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0;while(1){if(!(lC(b,d)|0))break;g=pC(b,1)|0;d=pC(d,e)|0;b=g}g=c[(bC(c[((a[b>>0]|0)==0?f+20|0:f+24|0)>>2]|0,b)|0)+32>>2]|0;LC(g,c[b+40>>2]|0,c[d+40>>2]|0);return}function pC(a,b){a=a|0;b=b|0;if(!a)ma(95650,94983,798,95654);else return c[((b|0)==0?a+48|0:a+52|0)>>2]|0;return 0}function qC(b,c){b=b|0;c=c|0;var d=0,e=0,f=0;f=l;l=l+16|0;e=f;d=a[b>>0]|0;if(d<<24>>24==(a[c>>0]|0)?!(+h[b+8>>3]!=+h[c+8>>3]):0){if(!(d<<24>>24))b=sC(b,c,3,1)|0;else b=sC(b,c,4,2)|0;l=f;return b|0}_l(1,95676,e)|0;Ua(169468,1);return 0}function rC(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0;j=1;while(1){if((j|0)>(e|0))break;i=pC(b,f)|0;g=+h[i+8>>3]==+h[b+16>>3];do if(!(a[b>>0]|0))if(g){g=(c[b+32>>2]|0)==1;break}else{g=(c[b+36>>2]|0)==3;break}else if(g){g=(c[b+32>>2]|0)==4;break}else{g=(c[b+36>>2]|0)==2;break}while(0);b=i;j=j+1|0;d=g?0-d|0:d}return d|0}function sC(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0.0,k=0.0,l=0,m=0,n=0,o=0;j=+h[a+24>>3];k=+h[b+16>>3];do if(!(j<k)?(g=+h[a+16>>3],i=+h[b+24>>3],!(g>i)):0){if(k<j&g<k){b=tC(a,b,d,e)|0;break}if(k<g&g<i){b=0-(tC(b,a,d,e)|0)|0;break}if(!(g==k))if(j==k){d=c[a+36>>2]|0;return ((d|0)==(c[b+32>>2]|0)?0:(d|0)==(e|0)?1:-1)|0}else{d=c[a+32>>2]|0;b=(d|0)==(c[b+36>>2]|0)?0:(d|0)==(e|0)?1:-1;break}if(!(j==i))if(j<i){o=(c[a+36>>2]|0)==(d|0);d=vC(c[b+32>>2]|0,c[a+32>>2]|0,d,e)|0;return (o?d:0-d|0)|0}else{o=(c[b+36>>2]|0)==(e|0);b=vC(c[a+32>>2]|0,c[b+32>>2]|0,d,e)|0;b=o?b:0-b|0;break}o=c[a+32>>2]|0;n=c[b+32>>2]|0;if((o|0)==(n|0)){b=c[b+36>>2]|0;if((c[a+36>>2]|0)==(b|0)){b=0;break}}else b=c[b+36>>2]|0;m=(n|0)==(d|0);if((n|0)==(b|0)){if(m){b=1;break}if((n|0)==(e|0)){b=-1;break}if((o|0)!=(d|0)?(c[a+36>>2]|0)!=(d|0):0){b=1;break}if((o|0)!=(e|0)?(c[a+36>>2]|0)!=(e|0):0){b=-1;break}b=0;break}f=(b|0)==(e|0);if(m&f){b=(c[a+36>>2]|0)==(e|0);if((o|0)==(d|0)){if(!b){b=-1;break}}else if(b){b=1;break}b=0;break}l=(b|0)==(d|0);if((n|0)==(e|0)&l){b=(o|0)==(e|0);if((c[a+36>>2]|0)==(d|0)){if(!b){b=-1;break}}else if(b){b=1;break}b=0;break}if(!n){if(l){b=uC(o,c[a+36>>2]|0,d)|0;break}if(f){b=0-(uC(o,c[a+36>>2]|0,e)|0)|0;break}}f=c[a+36>>2]|0;if(m&(b|0)==0){b=uC(f,o,d)|0;break}else{b=0-(uC(f,o,e)|0)|0;break}}else b=0;while(0);return b|0}function tC(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0.0,j=0.0;i=+h[a+24>>3];j=+h[b+24>>3];do if(i<j){a=c[a+36>>2]|0;if((a|0)==(d|0)?(c[b+32>>2]|0)==(e|0):0){a=-1;break}if((a|0)==(e|0)?(c[b+32>>2]|0)==(d|0):0){a=1;break}a=0}else{f=c[b+32>>2]|0;g=(f|0)==(e|0);if(i==j)if(g){a=vC(c[a+36>>2]|0,c[b+36>>2]|0,d,e)|0;break}else{a=0-(vC(c[b+36>>2]|0,c[a+36>>2]|0,d,e)|0)|0;break}if(g?(c[b+36>>2]|0)==(e|0):0){a=-1;break}if((f|0)==(d|0)?(c[b+36>>2]|0)==(d|0):0){a=1;break}a=0}while(0);return a|0}function uC(a,b,c){a=a|0;b=b|0;c=c|0;return ((a|0)==(c|0)?((b|0)==(c|0))<<31>>31:1)|0}function vC(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;if((a|0)==(d|0)){b=(a|0)==0;if(b)return 0;else b=b&1}return ((a|0)!=0|(b|0)!=(c|0))<<31>>31|0}function wC(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;g=c[a+28>>2]|0;h=c[a+24>>2]|0;d=c[a+32>>2]|0;a=0;a:while(1){e=a+1|0;if((e|0)>=(h|0))break;f=g+(a<<2)|0;b=e;while(1){if((b|0)==(h|0)){a=e;continue a}switch(qC(c[f>>2]|0,c[g+(b<<2)>>2]|0)|0){case 1:{KC(d,a,b);break}case -1:{KC(d,b,a);break}default:{}}b=b+1|0}}return}function xC(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;f=a+24|0;e=c[f>>2]|0;d=e+1|0;c[f>>2]=d;c[b+40>>2]=e;e=a+28|0;a=c[e>>2]|0;if(!a)a=ww(d<<2)|0;else a=yw(a,d<<2)|0;c[e>>2]=a;c[a+((c[f>>2]|0)+-1<<2)>>2]=b;return}function yC(a,b,d){a=a|0;b=b|0;d=+d;var e=0,f=0,g=0;g=l;l=l+16|0;f=g;h[f>>3]=d;e=bb[c[a>>2]&31](a,f,512)|0;if(!e){e=vw(24)|0;h[e+8>>3]=+h[f>>3];c[e+16>>2]=Ql(24712,c[4345]|0)|0;bb[c[a>>2]&31](a,e,1)|0}f=c[e+16>>2]|0;bb[c[f>>2]&31](f,b,1)|0;l=g;return}function zC(a,b,d){a=a|0;b=b|0;d=d|0;JC(c[b+32>>2]|0);_I(c[b+28>>2]|0);_I(b);return}function AC(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0.0,f=0.0;e=+h[b>>3];f=+h[c>>3];if(!(e>f))if(e<f)a=!(+h[b+8>>3]>=+h[c+8>>3])<<31>>31;else a=0;else a=!(+h[b+8>>3]<=+h[c+8>>3])&1;return a|0}function BC(a,b,d){a=a|0;b=b|0;d=d|0;Kl(c[b+16>>2]|0)|0;_I(b);return}function CC(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0.0,f=0.0;f=+h[b>>3];e=+h[c>>3];return (f>e?1:(f<e)<<31>>31)|0}function DC(b,d,e){b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0,j=0;i=(a[d+36>>0]|0)!=0;j=e+40|0;do if((c[d+24>>2]|0)==(e|0)){f=+h[j>>3];if(i){g=(+h[e+64>>3]+ +h[e+48>>3])*.5;break}else{g=+h[e+48>>3];f=(+h[e+56>>3]+f)*.5;break}}else if(i){g=(+h[e+64>>3]+ +h[e+48>>3])*.5;f=+h[e+56>>3];break}else{g=+h[e+64>>3];f=(+h[e+56>>3]+ +h[j>>3])*.5;break}while(0);h[b>>3]=f;h[b+8>>3]=g;return}function EC(a,b){a=a|0;b=b|0;var d=0;d=c[a+20>>2]|0;if((d|0)!=(c[b+20>>2]|0)?(d|0)!=(c[b+24>>2]|0):0)d=c[a+24>>2]|0;return d|0}function FC(a,b){a=a|0;b=b|0;var c=0.0;c=(+h[b+64>>3]+ +h[b+48>>3])*.5;h[a>>3]=(+h[b+56>>3]+ +h[b+40>>3])*.5;h[a+8>>3]=c;return}function GC(b,d,e,f,g,i,j){b=b|0;d=d|0;e=+e;f=+f;g=+g;i=i|0;j=j|0;var k=0,l=0;a[b>>0]=d;h[b+8>>3]=e;if(f<g){k=0;l=i;d=j;e=f;f=g}else{k=1;l=j;d=i;e=g}h[b+24>>3]=f;h[b+16>>3]=e;c[b+36>>2]=d;c[b+32>>2]=l;a[b+1>>0]=k;return}function HC(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=c[b+36>>2]|0;do if((c[e+4>>2]|0)!=(d|0)){if((c[e+12>>2]|0)==(d|0)){e=~~((+h[b+56>>3]+ +h[b+40>>3])*.5);d=~~+h[b+48>>3];break}if((c[e+8>>2]|0)==(d|0)){e=~~+h[b+40>>3];d=~~((+h[b+64>>3]+ +h[b+48>>3])*.5);break}if((c[e>>2]|0)==(d|0)){e=~~+h[b+56>>3];d=~~((+h[b+64>>3]+ +h[b+48>>3])*.5)}else{e=0;d=0}}else{e=~~((+h[b+56>>3]+ +h[b+40>>3])*.5);d=~~+h[b+64>>3]}while(0);c[a>>2]=e;c[a+4>>2]=d;return}function IC(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;d=vw(8)|0;c[d>>2]=a;e=d+4|0;c[e>>2]=vw(a*12|0)|0;b=0;while(1){if((b|0)>=(a|0))break;g=fG()|0;f=c[e>>2]|0;c[f+(b*12|0)+8>>2]=g;c[f+(b*12|0)>>2]=0;b=b+1|0}return d|0}function JC(a){a=a|0;var b=0,d=0,e=0;d=a+4|0;b=0;while(1){e=c[d>>2]|0;if((b|0)>=(c[a>>2]|0))break;Kl(c[e+(b*12|0)+8>>2]|0)|0;b=b+1|0}_I(e);_I(a);return}function KC(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=l;l=l+16|0;f=e;c[f>>2]=d;d=c[(c[a+4>>2]|0)+(b*12|0)+8>>2]|0;bb[c[d>>2]&31](d,f,1)|0;l=e;return}function LC(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;e=l;l=l+16|0;f=e;c[f>>2]=d;a=a+4|0;g=c[(c[a>>2]|0)+(b*12|0)+8>>2]|0;bb[c[g>>2]&31](g,f,2)|0;c[f>>2]=b;d=c[(c[a>>2]|0)+(d*12|0)+8>>2]|0;bb[c[d>>2]&31](d,f,2)|0;l=e;return}function MC(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=l;l=l+16|0;f=e;c[f>>2]=d;d=c[(c[a+4>>2]|0)+(b*12|0)+8>>2]|0;d=(bb[c[d>>2]&31](d,f,512)|0)!=0&1;l=e;return d|0}function NC(a){a=a|0;var b=0,d=0,e=0,f=0;b=c[a>>2]|0;switch(b|0){case 0:break;case 1:{c[(c[a+4>>2]|0)+4>>2]=0;break}default:{e=OC(b)|0;f=a+4|0;d=0;b=0;while(1){if((d|0)>=(c[a>>2]|0)){b=0;break}if(!(c[(c[f>>2]|0)+(d*12|0)>>2]|0))b=PC(a,d,b,e)|0;d=d+1|0}while(1){d=QC(e)|0;if((d|0)<=-1)break;c[(c[f>>2]|0)+(d*12|0)+4>>2]=b;b=b+1|0}RC(e)}}return}function OC(a){a=a|0;var b=0;b=vw(8)|0;c[b+4>>2]=vw(a<<2)|0;c[b>>2]=-1;return b|0}function PC(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;i=a+4|0;g=c[i>>2]|0;j=g+(b*12|0)|0;c[j>>2]=1;g=c[g+(b*12|0)+8>>2]|0;h=g+4|0;d=d+1|0;g=Ol(g)|0;while(1){if(!g)break;f=c[(c[h>>2]|0)+8>>2]|0;if((f|0)<0)f=c[g+8>>2]|0;else f=g+(0-f)|0;f=c[f>>2]|0;if(!(c[(c[i>>2]|0)+(f*12|0)>>2]|0))d=PC(a,f,d,e)|0;g=c[g>>2]|0}c[j>>2]=2;SC(e,b);return d+1|0}function QC(a){a=a|0;var b=0,d=0;b=c[a>>2]|0;if((b|0)==-1)a=-1;else{d=c[(c[a+4>>2]|0)+(b<<2)>>2]|0;c[a>>2]=b+-1;a=d}return a|0}function RC(a){a=a|0;_I(c[a+4>>2]|0);_I(a);return}function SC(a,b){a=a|0;b=b|0;var d=0;d=(c[a>>2]|0)+1|0;c[a>>2]=d;c[(c[a+4>>2]|0)+(d<<2)>>2]=b;return}function TC(a){a=a|0;var d=0,e=0,f=0;e=c[a>>2]|0;c[a+8>>2]=e;c[a+12>>2]=c[a+4>>2];d=a+16|0;a=0;while(1){if((a|0)>=(e|0))break;f=c[d>>2]|0;b[f+(a*40|0)+18>>1]=b[f+(a*40|0)+16>>1]|0;a=a+1|0}return}function UC(a){a=a|0;var d=0,e=0,f=0;d=c[a+8>>2]|0;c[a>>2]=d;c[a+4>>2]=c[a+12>>2];e=a+16|0;a=0;while(1){if((a|0)>=(d|0))break;f=c[e>>2]|0;b[f+(a*40|0)+16>>1]=b[f+(a*40|0)+18>>1]|0;a=a+1|0}d=d+2|0;while(1){if((a|0)>=(d|0))break;b[(c[e>>2]|0)+(a*40|0)+16>>1]=0;a=a+1|0}return}function VC(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=vw(((c[a>>2]|0)*6|0)+(b<<1)<<2)|0;c[a+20>>2]=vw((((c[a>>2]|0)*3|0)+b|0)*24|0)|0;e=c[a>>2]|0;f=a+16|0;a=0;while(1){if((a|0)>=(e|0))break;c[(c[f>>2]|0)+(a*40|0)+28>>2]=d;d=d+24|0;a=a+1|0}e=e+2|0;while(1){if((a|0)>=(e|0))break;c[(c[f>>2]|0)+(a*40|0)+28>>2]=d;d=d+(b<<2)|0;a=a+1|0}return}function WC(a){a=a|0;var b=0;b=vw(24)|0;c[b>>2]=0;c[b+16>>2]=vw(a*40|0)|0;return b|0}function XC(a){a=a|0;var b=0,d=0;d=c[a+16>>2]|0;b=c[a>>2]|0;c[d+(b*40|0)+32>>2]=b;c[a>>2]=b+1;return d+(b*40|0)|0}function YC(a,b,d,e){a=a|0;b=b|0;d=d|0;e=+e;var f=0,g=0;g=a+4|0;f=c[g>>2]|0;c[g>>2]=f+1;g=c[a+20>>2]|0;a=g+(f*24|0)|0;c[g+(f*24|0)+12>>2]=c[b+32>>2];c[g+(f*24|0)+16>>2]=c[d+32>>2];h[a>>3]=e;c[g+(f*24|0)+8>>2]=0;ZC(b,f);ZC(d,f);return a|0}function ZC(a,d){a=a|0;d=d|0;var e=0,f=0;e=a+16|0;f=b[e>>1]|0;c[(c[a+28>>2]|0)+(f<<16>>16<<2)>>2]=d;b[e>>1]=f+1<<16>>16;return}function _C(a){a=a|0;var b=0;b=a+16|0;_I(c[(c[b>>2]|0)+28>>2]|0);_I(c[b>>2]|0);_I(c[a+20>>2]|0);_I(a);return}function $C(a,d,e){a=a|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0;g=c[a>>2]|0;i=a+16|0;f=0;while(1){if((f|0)>=(g|0))break;c[(c[i>>2]|0)+(f*40|0)>>2]=-2147483648;f=f+1|0}nG();a:do if(!(qG(d)|0)){c[d+8>>2]=0;c[d>>2]=0;d=a+20|0;b:while(1){g=sG()|0;if(!g){f=0;break a}c[g>>2]=0-(c[g>>2]|0);if((g|0)==(e|0)){f=0;break a}i=g+16|0;j=g+28|0;f=0;while(1){if((f|0)>=(b[i>>1]|0))continue b;k=(c[d>>2]|0)+((c[(c[j>>2]|0)+(f<<2)>>2]|0)*24|0)|0;l=aD(a,k,g)|0;m=c[l>>2]|0;do if((m|0)<0){n=~~-(+h[k>>3]+ +(c[g>>2]|0));if((m|0)==-2147483648){c[l>>2]=n;if(qG(l)|0){f=1;break a}c[l+8>>2]=g;c[l+12>>2]=k;break}else{if((m|0)>=(n|0))break;tG(l,n);c[l+8>>2]=g;c[l+12>>2]=k;break}}while(0);f=f+1|0}}}else f=1;while(0);return f|0}function aD(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=c[b+12>>2]|0;if((e|0)==(c[d+32>>2]|0))e=c[b+16>>2]|0;return (c[a+16>>2]|0)+(e*40|0)|0}function bD(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;g=c[a>>2]|0;Jr(g,3,b)|0;b=c[g+92>>2]|0;do if(b){d=c[b+16>>2]|0;h=c[d+12>>2]|0;c[a+76>>2]=h;e=c[d+16>>2]|0;c[a+84>>2]=e;f=a+80|0;c[f>>2]=c[d>>2];c[a+88>>2]=c[b+4>>2];d=a+152|0;e=c[d>>2]|c[e>>2];c[d>>2]=e;b=c[g+80>>2]|0;if(!b){c[a+60>>2]=0;b=999;break}else{g=c[b+16>>2]|0;c[a+60>>2]=c[g+12>>2];i=c[g+16>>2]|0;c[a+68>>2]=i;c[a+72>>2]=c[b+4>>2];c[d>>2]=e|c[i>>2];c[a+64>>2]=c[((h|0)==0?f:g)>>2];b=300;break}}else b=999;while(0);return b|0}function cD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(!(ir(a)|0))if((b|0)!=0?(d=c[b>>2]|0,(d|0)!=0):0){gb[d&127](a);a=0}else a=0;else a=1;return a|0}function dD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+4>>2]|0,d|0):0)gb[d&127](a);c[(c[a>>2]|0)+24>>2]=0;qr(a);return}function eD(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0.0,g=0.0,i=0.0;e=+h[b+504>>3];f=+h[b+512>>3];i=+h[b+352>>3];if(!(c[b+360>>2]|0)){g=+h[d>>3]+e;d=d+8|0;e=f}else g=-(f+ +h[d+8>>3]);f=+h[b+528>>3]*i*(+h[d>>3]+e);h[a>>3]=+h[b+520>>3]*i*g;h[a+8>>3]=f;return}function fD(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0.0,j=0.0,k=0.0;f=+h[a+504>>3];g=+h[a+512>>3];i=+h[a+352>>3];j=+h[a+520>>3]*i;i=+h[a+528>>3]*i;a:do if(!(c[a+360>>2]|0)){a=0;while(1){if((a|0)>=(e|0))break a;h[d+(a<<4)>>3]=(+h[b+(a<<4)>>3]+f)*j;h[d+(a<<4)+8>>3]=(+h[b+(a<<4)+8>>3]+g)*i;a=a+1|0}}else{a=0;while(1){if((a|0)>=(e|0))break a;k=-(j*(+h[b+(a<<4)+8>>3]+g));h[d+(a<<4)+8>>3]=(+h[b+(a<<4)>>3]+f)*i;h[d+(a<<4)>>3]=k;a=a+1|0}}while(0);return d|0}function gD(a,b){a=a|0;b=b|0;var d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+8>>2]|0,d|0):0)gb[d&127](a);return}function hD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+12>>2]|0,d|0):0)gb[d&127](a);pr(a);return}function iD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+24>>2]|0,d|0):0)gb[d&127](a);return}function jD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+28>>2]|0,d|0):0)gb[d&127](a);return}function kD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+16>>2]|0,d|0):0){b=c[a+160>>2]|0;kb[d&31](a,c[(c[(c[a>>2]|0)+308>>2]|0)+(b<<2)>>2]|0,b,c[a+156>>2]|0)}return}function lD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+20>>2]|0,d|0):0)gb[d&127](a);return}function mD(a,b){a=a|0;b=b|0;var d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+32>>2]|0,d|0):0)gb[d&127](a);return}function nD(a,b){a=a|0;b=b|0;var d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+36>>2]|0,d|0):0)gb[d&127](a);return}function oD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+40>>2]|0,d|0):0)gb[d&127](a);return}function pD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+44>>2]|0,d|0):0)gb[d&127](a);return}function qD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+48>>2]|0,d|0):0)gb[d&127](a);return}function rD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+52>>2]|0,d|0):0)gb[d&127](a);return}function sD(a,b){a=a|0;b=b|0;var d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+56>>2]|0,d|0):0)gb[d&127](a);return}function tD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+60>>2]|0,d|0):0)gb[d&127](a);return}function uD(a,b){a=a|0;b=b|0;var d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+64>>2]|0,d|0):0)gb[d&127](a);return}function vD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+68>>2]|0,d|0):0)gb[d&127](a);return}function wD(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0;g=c[a+60>>2]|0;if(g|0?(h=c[g+72>>2]|0,h|0):0)lb[h&7](a,b,d,e,f);return}function xD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+76>>2]|0,d|0):0)gb[d&127](a);return}function yD(a,b){a=a|0;b=b|0;var d=0,e=0;d=c[a+60>>2]|0;if(d|0?(e=c[d+80>>2]|0,e|0):0)hb[e&31](a,b);return}function zD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+84>>2]|0,d|0):0)gb[d&127](a);return}function AD(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0;k=l;l=l+48|0;f=k+32|0;h=k;i=k+16|0;j=c[b+60>>2]|0;m=c[e>>2]|0;do if(m|0?a[m>>0]|0:0){m=c[b+16>>2]|0;if(m|0?(c[m+144>>2]|0)==0:0)break;if(!(c[b+152>>2]&8192)){c[f>>2]=c[d>>2];c[f+4>>2]=c[d+4>>2];c[f+8>>2]=c[d+8>>2];c[f+12>>2]=c[d+12>>2];eD(i,b,f);c[h>>2]=c[i>>2];c[h+4>>2]=c[i+4>>2];c[h+8>>2]=c[i+8>>2];c[h+12>>2]=c[i+12>>2]}else{c[h>>2]=c[d>>2];c[h+4>>2]=c[d+4>>2];c[h+8>>2]=c[d+8>>2];c[h+12>>2]=c[d+12>>2]}if(j|0?(g=c[j+88>>2]|0,g|0):0){c[f>>2]=c[h>>2];c[f+4>>2]=c[h+4>>2];c[f+8>>2]=c[h+8>>2];c[f+12>>2]=c[h+12>>2];ib[g&127](b,f,e)}}while(0);l=k;return}function BD(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;f=c[b+60>>2]|0;g=(c[b+16>>2]|0)+16|0;i=WJ(d,58)|0;h=(i|0)!=0;if(h)a[i>>0]=0;if(f|0?(CD(c[b+68>>2]|0,d,g),e=c[f+92>>2]|0,e|0):0)hb[e&31](b,g);if(h)a[i>>0]=58;return}function CD(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+32|0;g=k+16|0;j=k+8|0;i=k;c[d>>2]=b;c[d+32>>2]=5;e=RE(b)|0;f=c[a+16>>2]|0;if(!((f|0)!=0?(vM(e,f,c[a+20>>2]|0,4,37)|0)!=0:0))h=3;a:do if((h|0)==3){switch(SE(b,d,c[a+24>>2]|0)|0){case 0:break a;case 1:break;default:{_l(1,95868,g)|0;break a}}a=ww((rJ(b)|0)+16|0)|0;c[i>>2]=b;pL(a,95833,i)|0;if(Dv(a)|0){c[j>>2]=b;_l(0,95842,j)|0}_I(a)}while(0);l=k;return}function DD(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;f=c[b+60>>2]|0;g=(c[b+16>>2]|0)+56|0;i=WJ(d,58)|0;h=(i|0)!=0;if(h)a[i>>0]=0;if(f|0?(CD(c[b+68>>2]|0,d,g),e=c[f+92>>2]|0,e|0):0)hb[e&31](b,g);if(h)a[i>>0]=58;return}function ED(a,b,d,e){a=a|0;b=b|0;d=d|0;e=+e;var f=0,h=0,i=0,j=0;h=c[a+60>>2]|0;i=a+16|0;j=(c[i>>2]|0)+96|0;if(h|0?(CD(c[a+68>>2]|0,b,j),f=c[h+92>>2]|0,f|0):0)hb[f&31](a,j);j=c[i>>2]|0;c[j+136>>2]=d;g[j+140>>2]=e;return}function FD(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0;m=l;l=l+16|0;k=m;j=c[b+60>>2]|0;b=c[b+16>>2]|0;c[b+160>>2]=d;a:do if((d|0)!=0&(j|0)!=0){j=b+144|0;i=b+152|0;g=b+148|0;b=d;b:while(1){f=b+4|0;b=c[b>>2]|0;if(!b)break a;c:do switch(a[b>>0]|0){case 115:{if(!(xJ(b,95889)|0)){c[j>>2]=3;b=f;continue b}if(!(xJ(b,95910)|0)){e=115;while(1){d=b+1|0;if(!(e<<24>>24))break;b=d;e=a[d>>0]|0}h[i>>3]=+sM(d);b=f;continue b}break}case 100:{if(!(xJ(b,122119)|0)){c[j>>2]=1;b=f;continue b}if(!(xJ(b,122112)|0)){c[j>>2]=2;b=f;continue b}break}case 105:{if(xJ(b,119127)|0?xJ(b,95895)|0:0)break c;c[j>>2]=0;b=f;continue b}case 98:{if(!(xJ(b,95905)|0)){h[i>>3]=2.0;b=f;continue b}break}case 102:{if(!(xJ(b,95923)|0)){c[g>>2]=1;b=f;continue b}break}case 117:{if(!(xJ(b,95930)|0)){c[g>>2]=0;b=f;continue b}break}case 116:{if(!(xJ(b,95939)|0)){b=f;continue b}break}default:{}}while(0);c[k>>2]=b;_l(0,95947,k)|0;b=f}}while(0);l=m;return}function GD(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0;j=l;l=l+32|0;g=j;d=c[a+60>>2]|0;if((d|0?(i=d+96|0,f=c[i>>2]|0,f|0):0)?c[(c[a+16>>2]|0)+144>>2]|0:0){d=b+16|0;h[g>>3]=(+h[d>>3]+ +h[b>>3])*.5;h[g+8>>3]=(+h[b+24>>3]+ +h[b+8>>3])*.5;b=g+16|0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];if(!(c[a+152>>2]&8192)){fD(a,g,g,2)|0;f=c[i>>2]|0}ib[f&127](a,g,e)}l=j;return}function HD(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+48|0;m=o;f=c[a+60>>2]|0;if((f|0?(n=f+100|0,c[n>>2]|0):0)?(k=a+16|0,j=c[k>>2]|0,c[j+144>>2]|0):0){if(!(e&4)){f=e;g=0}else{f=e&-5;e=j+16|0;g=m;h=e;i=g+40|0;do{c[g>>2]=c[h>>2];g=g+4|0;h=h+4|0}while((g|0)<(i|0));g=e;h=j+56|0;i=g+40|0;do{c[g>>2]=c[h>>2];g=g+4|0;h=h+4|0}while((g|0)<(i|0));g=1}if(!(c[a+152>>2]&8192)){e=d+10|0;if((c[42406]|0)<(d|0)){c[42406]=e;e=yw(c[42407]|0,e<<4)|0;c[42407]=e}else e=c[42407]|0;fD(a,b,e,d)|0;kb[c[n>>2]&31](a,e,d,f)}else kb[c[n>>2]&31](a,b,d,f);if(g|0){g=(c[k>>2]|0)+16|0;h=m;i=g+40|0;do{c[g>>2]=c[h>>2];g=g+4|0;h=h+4|0}while((g|0)<(i|0))}}l=o;return}function ID(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;e=l;l=l+64|0;f=e;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];g=f+32|0;b=b+16|0;c[g>>2]=c[b>>2];c[g+4>>2]=c[b+4>>2];c[g+8>>2]=c[b+8>>2];c[g+12>>2]=c[b+12>>2];h[f+16>>3]=+h[f>>3];h[f+24>>3]=+h[f+40>>3];h[f+48>>3]=+h[g>>3];h[f+56>>3]=+h[f+8>>3];HD(a,f,4,d);l=e;return}function JD(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0;i=c[a+60>>2]|0;do if((i|0?(j=i+104|0,h=c[j>>2]|0,h|0):0)?c[(c[a+16>>2]|0)+144>>2]|0:0){if(c[a+152>>2]&8192|0){mb[h&15](a,b,d,e,f,g&255);break}h=d+10|0;if((c[42406]|0)<(d|0)){c[42406]=h;h=yw(c[42407]|0,h<<4)|0;c[42407]=h}else h=c[42407]|0;fD(a,b,h,d)|0;mb[c[j>>2]&15](a,h,d,e,f,g&255)}while(0);return}function KD(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;e=c[a+60>>2]|0;do if((e|0?(g=e+108|0,f=c[g>>2]|0,f|0):0)?c[(c[a+16>>2]|0)+144>>2]|0:0){if(c[a+152>>2]&8192|0){ib[f&127](a,b,d);break}e=d+10|0;if((c[42406]|0)<(d|0)){c[42406]=e;e=yw(c[42407]|0,e<<4)|0;c[42407]=e}else e=c[42407]|0;fD(a,b,e,d)|0;ib[c[g>>2]&127](a,e,d)}while(0);return}function LD(b,d){b=b|0;d=d|0;var e=0,f=0;e=c[b+60>>2]|0;if((d|0?!((e|0)==0|(a[d>>0]|0)==0):0)?(f=c[e+112>>2]|0,f|0):0)hb[f&31](b,d);return}function MD(b,d,e,f,g,i){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0.0,k=0.0,m=0,n=0,o=0.0,p=0.0,q=0.0,r=0.0,s=0,t=0.0,u=0.0,v=0.0,w=0.0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0;F=l;l=l+112|0;B=F+64|0;E=F;n=F+96|0;x=F+48|0;y=F+32|0;C=c[b+60>>2]|0;if(!b)ma(96061,96e3,691,96011);if(!d)ma(96030,96e3,692,96011);if(!(a[d>>0]|0))ma(96035,96e3,693,96011);D=Lr(d)|0;if(!D){if((C|0)!=0&(Py(d)|0)!=0?(m=c[C+116>>2]|0,m|0):0)lb[m&7](b,d,e,f,g&255)}else{s=b+432|0;c[B>>2]=c[s>>2];c[B+4>>2]=c[s+4>>2];c[B+8>>2]=c[s+8>>2];c[B+12>>2]=c[s+12>>2];Or(n,D,B);s=c[n>>2]|0;m=c[n+4>>2]|0;if(!((s|0)<1&(m|0)<1)){n=E+16|0;c[n>>2]=c[e>>2];c[n+4>>2]=c[e+4>>2];c[n+8>>2]=c[e+8>>2];c[n+12>>2]=c[e+12>>2];c[E>>2]=c[e>>2];c[E+4>>2]=c[e+4>>2];c[E+8>>2]=c[e+8>>2];c[E+12>>2]=c[e+12>>2];z=E+8|0;A=E+24|0;d=1;while(1){if((d|0)>=(f|0))break;G=e+(d<<4)|0;v=+h[G>>3];h[E>>3]=+h[(+h[E>>3]<v?E:G)>>3];w=+h[e+(d<<4)+8>>3];h[z>>3]=+h[(+h[z>>3]<w?E:G)+8>>3];h[n>>3]=+h[(+h[n>>3]>v?n:G)>>3];h[A>>3]=+h[(+h[A>>3]>w?n:G)+8>>3];d=d+1|0}k=+h[n>>3];j=+h[E>>3];t=k-j;u=+h[A>>3];v=+h[z>>3];w=u-v;o=+(m|0);p=+(s|0);q=t/p;r=w/o;a:do switch(ND(i)|0){case 1:if(q<r){p=q*p;o=q*o;break a}else{p=r*p;o=r*o;break a}case 2:{p=q*p;break}case 3:{o=r*o;break}case 4:{p=q*p;o=r*o;break}default:{}}while(0);if(p<t){t=(t-p)*.5;j=j+t;h[E>>3]=j;k=k-t;h[n>>3]=k}if(o<w){w=(w-o)*.5;h[z>>3]=v+w;h[A>>3]=u-w}if(!(c[b+152>>2]&8192)){c[B>>2]=c[E>>2];c[B+4>>2]=c[E+4>>2];c[B+8>>2]=c[E+8>>2];c[B+12>>2]=c[E+12>>2];eD(x,b,B);c[E>>2]=c[x>>2];c[E+4>>2]=c[x+4>>2];c[E+8>>2]=c[x+8>>2];c[E+12>>2]=c[x+12>>2];c[B>>2]=c[n>>2];c[B+4>>2]=c[n+4>>2];c[B+8>>2]=c[n+8>>2];c[B+12>>2]=c[n+12>>2];eD(y,b,B);c[n>>2]=c[y>>2];c[n+4>>2]=c[y+4>>2];c[n+8>>2]=c[y+8>>2];c[n+12>>2]=c[y+12>>2];k=+h[n>>3];j=+h[E>>3]}if(j>k){h[E>>3]=k;h[n>>3]=j}j=+h[z>>3];k=+h[A>>3];if(j>k){h[z>>3]=k;h[A>>3]=j}if(C|0){G=c[b+72>>2]|0;c[B>>2]=c[E>>2];c[B+4>>2]=c[E+4>>2];c[B+8>>2]=c[E+8>>2];c[B+12>>2]=c[E+12>>2];c[B+16>>2]=c[E+16>>2];c[B+20>>2]=c[E+20>>2];c[B+24>>2]=c[E+24>>2];c[B+28>>2]=c[E+28>>2];PD(b,D,B,g,G)}}}l=F;return}function ND(b){b=b|0;if(a[b>>0]|0)if(iK(b,96043)|0)if(iK(b,96049)|0)if(!(iK(b,96056)|0))b=4;else b=(IA(b)|0)<<24>>24!=0&1;else b=3;else b=2;else b=0;return b|0}function OD(a,b){a=a|0;b=+b;if(c[a+60>>2]|0)h[(c[a+16>>2]|0)+152>>3]=b;return}function PD(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+176|0;k=n+8|0;j=n;h=n+40|0;if(!b)ma(96061,96065,52,96079);if(!d)ma(96091,96065,53,96079);i=c[d+8>>2]|0;if(!i)ma(96094,96065,54,96079);if(!(a[i>>0]|0))ma(96103,96065,55,96079);xK(h,c[d+28>>2]|0)|0;i=h+(rJ(h)|0)|0;a[i>>0]=58;a[i+1>>0]=0;IL(h,g)|0;if((QD(b,h)|0)==999){c[j>>2]=h;_l(0,96115,j)|0}g=c[b+92>>2]|0;if(g|0?(m=c[g>>2]|0,m|0):0){c[k>>2]=c[e>>2];c[k+4>>2]=c[e+4>>2];c[k+8>>2]=c[e+8>>2];c[k+12>>2]=c[e+12>>2];c[k+16>>2]=c[e+16>>2];c[k+20>>2]=c[e+20>>2];c[k+24>>2]=c[e+24>>2];c[k+28>>2]=c[e+28>>2];kb[m&31](b,d,k,f)}l=n;return}function QD(a,b){a=a|0;b=b|0;b=Jr(c[a>>2]|0,4,b)|0;if(!b)b=999;else{b=c[b+16>>2]|0;c[a+92>>2]=c[b+12>>2];c[a+96>>2]=c[b>>2];b=300}return b|0}function RD(a){a=a|0;return 1}function SD(b){b=b|0;var c=0;a[b+536>>0]=0;c=b+336|0;h[c>>3]=+h[c>>3]+10.0/+h[b+352>>3];a[b+537>>0]=1;return 0}function TD(b){b=b|0;var c=0;a[b+536>>0]=0;c=b+336|0;h[c>>3]=+h[c>>3]-10.0/+h[b+352>>3];a[b+537>>0]=1;return 0}function UD(b){b=b|0;var c=0;a[b+536>>0]=0;c=b+344|0;h[c>>3]=+h[c>>3]-10.0/+h[b+352>>3];a[b+537>>0]=1;return 0}function VD(b){b=b|0;var c=0;a[b+536>>0]=0;c=b+344|0;h[c>>3]=+h[c>>3]+10.0/+h[b+352>>3];a[b+537>>0]=1;return 0}function WD(b){b=b|0;var c=0;a[b+536>>0]=0;c=b+352|0;h[c>>3]=+h[c>>3]*1.1;a[b+537>>0]=1;return 0}function XD(b){b=b|0;var c=0;a[b+536>>0]=0;c=b+352|0;h[c>>3]=+h[c>>3]*.9090909090909091;a[b+537>>0]=1;return 0}function YD(b){b=b|0;var d=0,e=0,f=0,g=0.0,i=0.0;e=b+536|0;d=(a[e>>0]|0)==0;a[e>>0]=d&1;if(d){d=c[b+448>>2]|0;e=c[b+452>>2]|0;i=+(d>>>0);g=+(e>>>0);f=i/+(d|0)<g/+(e|0);h[b+352>>3]=(f?i:g)/+((f?d:e)|0);e=b+336|0;c[e>>2]=0;c[e+4>>2]=0;c[e+8>>2]=0;c[e+12>>2]=0;a[b+537>>0]=1}return 0}function ZD(b){b=b|0;var d=0,e=0;d=c[(c[b>>2]|0)+168>>2]|0;e=b+580|0;if(!(c[e>>2]|0)){c[e>>2]=d;e=(c[d+16>>2]|0)+112|0;a[e>>0]=a[e>>0]|2;nE(b,d)}gu(b,d);a[b+540>>0]=1;return}function _D(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0,k=0;k=l;l=l+16|0;f=k;switch(d|0){case 1:{c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];c[f+8>>2]=c[e+8>>2];c[f+12>>2]=c[e+12>>2];gE(b,f);mE(b);a[b+538>>0]=1;a[b+541>>0]=1;j=13;break}case 2:{a[b+538>>0]=1;a[b+541>>0]=2;j=13;break}case 3:{c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];c[f+8>>2]=c[e+8>>2];c[f+12>>2]=c[e+12>>2];gE(b,f);a[b+538>>0]=1;a[b+541>>0]=3;j=13;break}case 4:{a[b+536>>0]=0;if(!(c[b+360>>2]|0)){f=b+352|0;i=+h[f>>3];d=b+336|0;h[d>>3]=(+h[e>>3]-+((c[b+448>>2]|0)>>>0)*.5)*.10000000000000009/(+h[b+520>>3]*i)+ +h[d>>3];g=+h[e+8>>3]-+((c[b+452>>2]|0)>>>0)*.5;d=b+528|0}else{f=b+352|0;i=+h[f>>3];d=b+336|0;h[d>>3]=+h[d>>3]-(+h[e+8>>3]-+((c[b+452>>2]|0)>>>0)*.5)*.10000000000000009/(+h[b+528>>3]*i);g=+h[e>>3]-+((c[b+448>>2]|0)>>>0)*.5;d=b+520|0}j=b+344|0;h[j>>3]=g*.10000000000000009/(+h[d>>3]*i)+ +h[j>>3];h[f>>3]=i*1.1;j=13;break}case 5:{a[b+536>>0]=0;j=b+352|0;i=+h[j>>3]*.9090909090909091;h[j>>3]=i;if(!(c[b+360>>2]|0)){f=b+336|0;h[f>>3]=+h[f>>3]-(+h[e>>3]-+((c[b+448>>2]|0)>>>0)*.5)*.10000000000000009/(+h[b+520>>3]*i);g=+h[e+8>>3]-+((c[b+452>>2]|0)>>>0)*.5;f=b+528|0}else{f=b+336|0;h[f>>3]=(+h[e+8>>3]-+((c[b+452>>2]|0)>>>0)*.5)*.10000000000000009/(+h[b+528>>3]*i)+ +h[f>>3];g=+h[e>>3]-+((c[b+448>>2]|0)>>>0)*.5;f=b+520|0}j=b+344|0;h[j>>3]=+h[j>>3]-g*.10000000000000009/(+h[f>>3]*i);j=13;break}default:{}}if((j|0)==13)a[b+537>>0]=1;b=b+560|0;c[b>>2]=c[e>>2];c[b+4>>2]=c[e+4>>2];c[b+8>>2]=c[e+8>>2];c[b+12>>2]=c[e+12>>2];l=k;return}function $D(b,c,d){b=b|0;c=c|0;d=d|0;a[b+538>>0]=0;a[b+541>>0]=0;return}function aE(b,d){b=b|0;d=d|0;var e=0,f=0.0,g=0.0,i=0,j=0.0,k=0;k=l;l=l+16|0;e=k;i=b+560|0;j=(+h[d>>3]-+h[i>>3])/+h[b+520>>3];g=(+h[d+8>>3]-+h[b+568>>3])/+h[b+528>>3];if(!(+B(+j)<.0001&+B(+g)<.0001)){switch(a[b+541>>0]|0){case 0:{c[e>>2]=c[d>>2];c[e+4>>2]=c[d+4>>2];c[e+8>>2]=c[d+8>>2];c[e+12>>2]=c[d+12>>2];gE(b,e);break}case 2:{f=+h[b+352>>3];if(!(c[b+360>>2]|0)){e=b+336|0;h[e>>3]=+h[e>>3]-j/f;e=b+344|0;h[e>>3]=+h[e>>3]-g/f}else{e=b+336|0;h[e>>3]=+h[e>>3]-g/f;e=b+344|0;h[e>>3]=+h[e>>3]+j/f}a[b+537>>0]=1;break}default:{}}c[i>>2]=c[d>>2];c[i+4>>2]=c[d+4>>2];c[i+8>>2]=c[d+8>>2];c[i+12>>2]=c[d+12>>2]}l=k;return}function bE(a,b,c){a=a|0;b=b|0;c=c|0;return}function cE(a){a=a|0;return}function dE(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;j=c[b>>2]|0;if(d){d=aM(d,123632)|0;if(d|0){i=er(d,0)|0;LL(d)|0;f=5}}else{i=er(c[13853]|0,0)|0;f=5}if((f|0)==5?i|0:0){g=j+168|0;d=c[g>>2]|0;if(d|0){f=c[j+172>>2]|0;if((f|0)!=0?(h=c[f+4>>2]|0,(h|0)!=0):0){gb[h&127](d);d=c[g>>2]|0}iw(d);ln(c[g>>2]|0)|0}So(i,0,122277,280,1);So(i,1,122241,304,1);So(i,2,122254,176,1);c[g>>2]=i;c[(c[i+16>>2]|0)+144>>2]=j;if((ls(j,i,e)|0)!=-1){c[b+580>>2]=0;c[b+576>>2]=0;a[b+537>>0]=1}}return}function eE(a,b){a=a|0;b=b|0;a=c[a>>2]|0;ls(a,c[a+168>>2]|0,b)|0;return}function fE(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;g=c[a>>2]|0;f=g+160|0;e=c[f>>2]|0;if((e|0)!=0?(c[g+164>>2]|0)==0:0){i=g+192|0;h=c[i>>2]|0;c[f>>2]=0;c[i>>2]=0;f=h}else{f=0;e=0}ns(g,c[g+168>>2]|0,b,d)|0;if(e|0){i=c[a>>2]|0;c[i+160>>2]=e;c[i+192>>2]=f}return}function gE(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,i=0.0,j=0.0,k=0.0,m=0;f=l;l=l+80|0;e=f+48|0;g=f;m=f+32|0;c[e>>2]=c[d>>2];c[e+4>>2]=c[d+4>>2];c[e+8>>2]=c[d+8>>2];c[e+12>>2]=c[d+12>>2];hE(m,b,e);k=+h[m>>3];j=+h[m+8>>3];i=1.0/+h[b+352>>3];h[g+16>>3]=i+k;h[g+24>>3]=i+j;h[g>>3]=k-i;h[g+8>>3]=j-i;d=c[(c[b>>2]|0)+168>>2]|0;c[e>>2]=c[g>>2];c[e+4>>2]=c[g+4>>2];c[e+8>>2]=c[g+8>>2];c[e+12>>2]=c[g+12>>2];c[e+16>>2]=c[g+16>>2];c[e+20>>2]=c[g+20>>2];c[e+24>>2]=c[g+24>>2];c[e+28>>2]=c[g+28>>2];d=iE(d,e)|0;e=b+576|0;if((d|0)!=(c[e>>2]|0)){jE(b);c[e>>2]=d;kE(b);a[b+537>>0]=1}l=f;return}function hE(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0.0,g=0.0,i=0;if(!(c[b+360>>2]|0)){e=+h[b+352>>3];f=+h[d+8>>3];g=e;i=b+528|0;e=+h[d>>3]/(+h[b+520>>3]*e)-+h[b+504>>3]}else{e=+h[b+352>>3];f=-+h[d>>3];g=e;i=b+520|0;e=+h[d+8>>3]/(+h[b+528>>3]*e)-+h[b+504>>3]}g=f/(+h[i>>3]*g)-+h[b+512>>3];h[a>>3]=e;h[a+8>>3]=g;return}function iE(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;g=l;l=l+32|0;f=g;e=co(a)|0;a:while(1){if(!e){e=9;break}d=Pm(a,e)|0;while(1){if(!d)break;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];c[f+16>>2]=c[b+16>>2];c[f+20>>2]=c[b+20>>2];c[f+24>>2]=c[b+24>>2];c[f+28>>2]=c[b+28>>2];if((DB(d,f)|0)<<24>>24){e=6;break a}d=Rm(a,d)|0}e=eo(a,e)|0}do if((e|0)!=6)if((e|0)==9){d=fo(a)|0;while(1){if(!d)break;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];c[f+16>>2]=c[b+16>>2];c[f+20>>2]=c[b+20>>2];c[f+24>>2]=c[b+24>>2];c[f+28>>2]=c[b+28>>2];if((AB(d,f)|0)<<24>>24){e=12;break}d=go(a,d)|0}if((e|0)==12)break;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];c[f+16>>2]=c[b+16>>2];c[f+20>>2]=c[b+20>>2];c[f+24>>2]=c[b+24>>2];c[f+28>>2]=c[b+28>>2];d=lE(a,f)|0;if(!d){d=a;break}else break}while(0);l=g;return d|0}function jE(b){b=b|0;var d=0;d=c[b+576>>2]|0;a:do if(d|0)switch(Co(d)|0){case 0:{d=(c[d+16>>2]|0)+112|0;a[d>>0]=a[d>>0]&-2;break a}case 1:{d=(c[d+16>>2]|0)+117|0;a[d>>0]=a[d>>0]&-2;break a}case 2:{d=(c[d+16>>2]|0)+115|0;a[d>>0]=a[d>>0]&-2;break a}default:break a}while(0);c[b+584>>2]=0;return}function kE(b){b=b|0;var d=0,e=0;e=b+584|0;d=c[e>>2]|0;if(d|0){_I(d);c[e>>2]=0}d=c[b+576>>2]|0;a:do if(d|0)switch(Co(d)|0){case 0:{b=(c[d+16>>2]|0)+112|0;a[b>>0]=a[b>>0]|1;b=ym(d,0,96229,0)|0;if(!b)break a;c[e>>2]=qw(Jm(d,b)|0,d)|0;break a}case 1:{b=(c[d+16>>2]|0)+117|0;a[b>>0]=a[b>>0]|1;b=ym(ro(d)|0,1,96229,0)|0;if(!b)break a;c[e>>2]=qw(Jm(d,b)|0,d)|0;break a}case 2:{b=(c[d+16>>2]|0)+115|0;a[b>>0]=a[b>>0]|1;b=ym(ro(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)|0,2,96229,0)|0;if(!b)break a;c[e>>2]=qw(Jm(d,b)|0,d)|0;break a}default:break a}while(0);return}function lE(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0.0,o=0.0;m=l;l=l+32|0;e=m;g=c[a+16>>2]|0;i=c[g+180>>2]|0;j=g+184|0;d=1;while(1){if((d|0)>(i|0)){k=4;break}f=c[(c[j>>2]|0)+(d<<2)>>2]|0;c[e>>2]=c[b>>2];c[e+4>>2]=c[b+4>>2];c[e+8>>2]=c[b+8>>2];c[e+12>>2]=c[b+12>>2];c[e+16>>2]=c[b+16>>2];c[e+20>>2]=c[b+20>>2];c[e+24>>2]=c[b+24>>2];c[e+28>>2]=c[b+28>>2];f=lE(f,e)|0;if(!f)d=d+1|0;else{a=f;break}}do if((k|0)==4){o=+h[g+24>>3];n=+h[g+40>>3];if(((+h[b+16>>3]>=+h[g+16>>3]?+h[g+32>>3]>=+h[b>>3]:0)?+h[b+24>>3]>=o:0)?n>=+h[b+8>>3]:0)break;a=0}while(0);l=m;return a|0}function mE(b){b=b|0;var d=0,e=0,f=0;f=b+580|0;d=c[f>>2]|0;a:do if(d|0)switch(Co(d)|0){case 0:{e=(c[d+16>>2]|0)+112|0;a[e>>0]=a[e>>0]&-7|4;break a}case 1:{e=(c[d+16>>2]|0)+117|0;a[e>>0]=a[e>>0]&-7|4;break a}case 2:{e=(c[d+16>>2]|0)+115|0;a[e>>0]=a[e>>0]&-7|4;break a}default:break a}while(0);d=b+588|0;e=c[d>>2]|0;if(e|0){_I(e);c[d>>2]=0}d=c[b+576>>2]|0;c[f>>2]=d;b:do if(d|0)switch(Co(d)|0){case 0:{f=(c[d+16>>2]|0)+112|0;a[f>>0]=a[f>>0]|2;nE(b,d);break b}case 1:{f=(c[d+16>>2]|0)+117|0;a[f>>0]=a[f>>0]|2;oE(b,d);break b}case 2:{f=(c[d+16>>2]|0)+115|0;a[f>>0]=a[f>>0]|2;pE(b,d);break b}default:break b}while(0);return}function nE(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;d=a+592|0;do if((so(b)|0)==(b|0))if(!(qn(b)|0)){Er(d,0,96286);break}else{Er(d,0,96278);break}else Er(d,0,96292);while(0);Er(d,1,Dn(b)|0);c[a+596>>2]=2;f=a+604|0;d=0;e=2;while(1){d=Dm(b,0,d)|0;if(!d)break;Er(f,e,c[d+8>>2]|0);Er(f,e+1|0,Jm(b,d)|0);Er(f,e+2|0,0);e=e+3|0}c[a+608>>2]=e;d=ym(b,0,96264,0)|0;if(!d){d=ym(b,0,96269,0)|0;if(d|0)g=11}else g=11;if((g|0)==11)c[a+588>>2]=qw(Jm(b,d)|0,b)|0;return}function oE(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;f=a+592|0;Er(f,0,96273);Er(f,1,Dn(b)|0);c[a+596>>2]=2;f=a+604|0;g=so(ro(b)|0)|0;e=2;d=0;while(1){d=Dm(g,1,d)|0;if(!d)break;Er(f,e,c[d+8>>2]|0);Er(f,e|1,Jm(b,d)|0);e=e+2|0}c[a+608>>2]=e;d=ym(ro(b)|0,1,96264,0)|0;if(!d){d=ym(ro(b)|0,1,96269,0)|0;if(d|0)h=6}else h=6;if((h|0)==6)c[a+588>>2]=qw(Jm(b,d)|0,b)|0;return}function pE(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0;h=a+592|0;Er(h,0,96237);k=b+48|0;Er(h,1,Dn(c[((c[b>>2]&3|0)==3?b:k)+40>>2]|0)|0);k=(qn(ro(c[((c[b>>2]&3|0)==3?b:k)+40>>2]|0)|0)|0)!=0;Er(h,3,k?122546:122549);k=b+-48|0;Er(h,4,Dn(c[((c[b>>2]&3|0)==2?b:k)+40>>2]|0)|0);c[a+596>>2]=7;i=a+604|0;j=so(ro(c[((c[b>>2]&3|0)==2?b:k)+40>>2]|0)|0)|0;g=7;d=0;a:while(1){while(1){d=Dm(j,2,d)|0;if(!d)break a;e=d+8|0;f=c[e>>2]|0;if(!(xJ(f,96242)|0)){l=5;break}if(!(xJ(f,96251)|0)){l=7;break}if(xJ(f,96260)|0)break;Er(h,6,Jm(b,d)|0)}if((l|0)==5){l=0;Er(h,2,Jm(b,d)|0)}else if((l|0)==7){l=0;Er(h,5,Jm(b,d)|0)}Er(i,g,c[e>>2]|0);Er(i,g+1|0,Jm(b,d)|0);g=g+2|0}c[a+608>>2]=g;d=ym(ro(c[((c[b>>2]&3|0)==2?b:k)+40>>2]|0)|0,2,96264,0)|0;if(!d){d=ym(ro(c[((c[b>>2]&3|0)==2?b:k)+40>>2]|0)|0,2,96269,0)|0;if(d|0)l=13}else l=13;if((l|0)==13)c[a+588>>2]=qw(Jm(b,d)|0,b)|0;return}function qE(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;g=rE(a,b,c[d>>2]|0)|0;d=c[d+4>>2]|0;while(1){f=c[d+4>>2]|0;if(!f)break;b=0;while(1){e=c[f+(b*20|0)+4>>2]|0;if(!e)break;Hr(a,c[d>>2]|0,e,c[f+(b*20|0)+8>>2]|0,g,f+(b*20|0)|0)|0;b=b+1|0}d=d+8|0}return}function rE(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=ww(12)|0;if(!b)b=0;else b=GL(b)|0;c[e+4>>2]=b;c[e+8>>2]=GL(d)|0;d=a+100|0;c[e>>2]=c[d>>2];c[d>>2]=e;return e|0}function sE(b,c){b=b|0;c=c|0;tE(b);a[b+44>>0]=0;uE(b)|0;tA(b)|0;return}function tE(b){b=b|0;var d=0,e=0;d=c[b+32>>2]|0;a:do if(d|0)while(1){e=c[d>>2]|0;if(!e)break a;if((a[e>>0]|0)==103?hL(e,96301)|0:0)qE(b,0,c[d+4>>2]|0);d=d+8|0}while(0);return}function uE(a){a=a|0;var b=0;b=Jr(a,2,96314)|0;if(!b)a=999;else{c[a+148>>2]=c[(c[b+16>>2]|0)+12>>2];a=300}return a|0}function vE(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;a=c[a+148>>2]|0;if((a|0)!=0?(e=c[a>>2]|0,(e|0)!=0):0)a=ab[e&63](b,d)|0;else a=0;return a|0}function wE(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;return (c[b>>2]|0)-(c[d>>2]|0)|0}function xE(a){a=a|0;var b=0.0,d=0.0;a=c[a+16>>2]|0;d=+h[a+16>>3];b=+h[a+24>>3];return (yE(~~(d>b?d:b)>>>0)|0)+1|0}function yE(a){a=a|0;var b=0,c=0;if(!a)a=-1;else{c=a>>>0>65535;a=c?a>>>16:a;c=c?16:0;b=a>>>0>255;a=b?a>>>8:a;c=b?c|8:c;b=a>>>0>15;a=b?a>>>4:a;c=b?c|4:c;b=a>>>0>3;a=(b?c|2:c)+((b?a>>>2:a)>>>0>1&1)|0}return a|0}function zE(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0.0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0;r=l;l=l+32|0;q=r;p=AE(b,d,e,f,g)|0;e=BE(p)|0;if((e|0)>=0){n=q+16|0;o=q+24|0;m=q+8|0;k=g+32|0;e=0;g=0;while(1){if((g|0)>=(d|0))break;f=b+(g*40|0)+32|0;do if(c[f>>2]|0){CE(q,p,b+(g*40|0)|0);i=+h[n>>3];j=+h[o>>3];if(!(c[q>>2]|0)){a[(c[f>>2]|0)+36>>0]=1;break}if(+h[m>>3]==0.0){f=c[f>>2]|0;h[f+16>>3]=i;h[f+24>>3]=j;a[f+36>>0]=1;break}if((a[k>>0]|0)==1){f=c[f>>2]|0;h[f+16>>3]=i;h[f+24>>3]=j;a[f+36>>0]=1}else e=1}while(0);g=g+1|0}DE(p)}l=r;return e|0}function AE(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0;g=vw(28)|0;j=Ql(24896,c[4348]|0)|0;h=g+20|0;c[h>>2]=j;do if(j){j=jH()|0;c[g+24>>2]=j;if(!j){XL(96532,14,1,c[13918]|0)|0;i=6;break}else{c[g>>2]=a;c[g+4>>2]=b;c[g+8>>2]=d;c[g+12>>2]=e;c[g+16>>2]=f;break}}else{XL(96532,14,1,c[13918]|0)|0;i=6}while(0);if((i|0)==6){a=c[h>>2]|0;if(a|0)Kl(a)|0;a=c[g+24>>2]|0;if(a|0)lH(a)|0;_I(g);g=0}return g|0}function BE(a){a=a|0;var b=0;b=ME(a)|0;if((b|0)>=0){NE(a);OE(a);b=Kl(c[a+20>>2]|0)|0}return b|0}function CE(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0,g=0,i=0.0,j=0,k=0.0,m=0,n=0,o=0,p=0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0.0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0.0,L=0,M=0;M=l;l=l+464|0;J=M+416|0;L=M+400|0;G=M+384|0;m=M+352|0;n=M+320|0;o=M+288|0;p=M+256|0;r=M+224|0;s=M+192|0;t=M+160|0;u=M+128|0;v=M+96|0;x=M+64|0;y=M+32|0;H=M;z=c[d+32>>2]|0;e=+h[z>>3];C=d+16|0;A=(e*2.0+ +h[C>>3])*.125;D=z+8|0;I=d+24|0;i=+h[I>>3];K=(+h[D>>3]*2.0+i)*.5;if(!z)ma(96325,96335,445,96345);f=J;g=f+36|0;do{c[f>>2]=0;f=f+4|0}while((f|0)<(g|0));B=z+16|0;h[B>>3]=+h[d>>3]-e;E=d+8|0;F=z+24|0;h[F>>3]=i+ +h[E>>3];EE(m,b,d,J);j=c[m>>2]|0;f=c[m+4>>2]|0;e=+h[m+8>>3];m=m+16|0;c[L>>2]=c[m>>2];c[L+4>>2]=c[m+4>>2];c[L+8>>2]=c[m+8>>2];c[L+12>>2]=c[m+12>>2];a:do if(!j){c[a>>2]=0;c[a+4>>2]=f;h[a+8>>3]=e;a=a+16|0;c[a>>2]=c[L>>2];c[a+4>>2]=c[L+4>>2];c[a+8>>2]=c[L+8>>2];c[a+12>>2]=c[L+12>>2]}else{h[F>>3]=+h[E>>3];EE(n,b,d,J);g=c[n>>2]|0;m=c[n+4>>2]|0;i=+h[n+8>>3];n=n+16|0;c[G>>2]=c[n>>2];c[G+4>>2]=c[n+4>>2];c[G+8>>2]=c[n+8>>2];c[G+12>>2]=c[n+12>>2];if(!g){c[a>>2]=0;c[a+4>>2]=m;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break}if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];f=m;e=i}else g=j;h[F>>3]=+h[E>>3]-+h[D>>3];EE(o,b,d,J);m=c[o>>2]|0;j=c[o+4>>2]|0;i=+h[o+8>>3];o=o+16|0;c[G>>2]=c[o>>2];c[G+4>>2]=c[o+4>>2];c[G+8>>2]=c[o+8>>2];c[G+12>>2]=c[o+12>>2];if(!m){c[a>>2]=0;c[a+4>>2]=j;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break}if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];f=j;e=i}else m=g;h[B>>3]=+h[d>>3];h[F>>3]=+h[I>>3]+ +h[E>>3];EE(p,b,d,J);g=c[p>>2]|0;j=c[p+4>>2]|0;i=+h[p+8>>3];p=p+16|0;c[G>>2]=c[p>>2];c[G+4>>2]=c[p+4>>2];c[G+8>>2]=c[p+8>>2];c[G+12>>2]=c[p+12>>2];if(!g){c[a>>2]=0;c[a+4>>2]=j;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break}if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];m=g;f=j;e=i}h[F>>3]=+h[E>>3]-+h[D>>3];EE(r,b,d,J);g=c[r>>2]|0;j=c[r+4>>2]|0;i=+h[r+8>>3];r=r+16|0;c[G>>2]=c[r>>2];c[G+4>>2]=c[r+4>>2];c[G+8>>2]=c[r+8>>2];c[G+12>>2]=c[r+12>>2];if(!g){c[a>>2]=0;c[a+4>>2]=j;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break}if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];m=g;f=j;e=i}h[B>>3]=+h[C>>3]+ +h[d>>3];h[F>>3]=+h[I>>3]+ +h[E>>3];EE(s,b,d,J);g=c[s>>2]|0;j=c[s+4>>2]|0;i=+h[s+8>>3];s=s+16|0;c[G>>2]=c[s>>2];c[G+4>>2]=c[s+4>>2];c[G+8>>2]=c[s+8>>2];c[G+12>>2]=c[s+12>>2];if(!g){c[a>>2]=0;c[a+4>>2]=j;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break}if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];m=g;f=j;e=i}h[F>>3]=+h[E>>3];EE(t,b,d,J);g=c[t>>2]|0;j=c[t+4>>2]|0;i=+h[t+8>>3];t=t+16|0;c[G>>2]=c[t>>2];c[G+4>>2]=c[t+4>>2];c[G+8>>2]=c[t+8>>2];c[G+12>>2]=c[t+12>>2];if(!g){c[a>>2]=0;c[a+4>>2]=j;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break}if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];m=g;f=j;e=i}h[F>>3]=+h[E>>3]-+h[D>>3];EE(u,b,d,J);g=c[u>>2]|0;j=c[u+4>>2]|0;i=+h[u+8>>3];u=u+16|0;c[G>>2]=c[u>>2];c[G+4>>2]=c[u+4>>2];c[G+8>>2]=c[u+8>>2];c[G+12>>2]=c[u+12>>2];if(!g){c[a>>2]=0;c[a+4>>2]=j;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break}if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];f=j;e=i}else g=m;j=(c[J+28>>2]|0)==0;do if(!(c[J+24>>2]|0))if(j){if(c[J+32>>2]|0){w=38;break}if(!((c[J+12>>2]|0)==0&(c[J>>2]|0)==0))w=38}else w=46;else if(j)w=38;else w=46;while(0);b:do if((w|0)==38)if(!(c[J+32>>2]|0)){h[B>>3]=+h[d>>3]-+h[z>>3];p=v+4|0;r=v+8|0;s=v+16|0;m=F;j=E;i=+h[I>>3];c:while(1){while(1){h[m>>3]=+h[j>>3]+i;if(!(+h[B>>3]<=+h[C>>3]+ +h[d>>3])){w=46;break b}EE(v,b,d,J);n=c[v>>2]|0;o=c[p>>2]|0;k=+h[r>>3];c[G>>2]=c[s>>2];c[G+4>>2]=c[s+4>>2];c[G+8>>2]=c[s+8>>2];c[G+12>>2]=c[s+12>>2];if(!n)break c;if(k<e)break;else{m=B;j=B;i=A}}c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];m=B;j=B;i=A;g=n;f=o;e=k}c[a>>2]=0;c[a+4>>2]=o;h[a+8>>3]=k;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break a}else w=46;while(0);d:do if((w|0)==46)if((c[J+12>>2]|0)==0&(c[J>>2]|0)==0){h[B>>3]=+h[d>>3]-+h[z>>3];k=+h[E>>3];n=x+4|0;o=x+8|0;p=x+16|0;i=k;k=+h[I>>3]+k;while(1){h[F>>3]=k;if(!(k>=i-+h[D>>3]))break d;EE(x,b,d,J);j=c[x>>2]|0;m=c[n>>2]|0;i=+h[o>>3];c[G>>2]=c[p>>2];c[G+4>>2]=c[p+4>>2];c[G+8>>2]=c[p+8>>2];c[G+12>>2]=c[p+12>>2];if(!j)break;if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];g=j;f=m;e=i}i=+h[E>>3];k=+h[F>>3]-K}c[a>>2]=0;c[a+4>>2]=m;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break a}while(0);i=+h[d>>3];k=+h[C>>3]+i;h[B>>3]=k;q=+h[D>>3];h[F>>3]=+h[E>>3]-q;j=c[J+4>>2]|0;do if(!(c[J+8>>2]|0)){m=c[J>>2]|0;if(!((j|0)==0&(m|0)==0)){w=59;break}if(c[J+20>>2]|0){j=0;m=0;w=59;break}if(c[J+32>>2]|0){j=0;m=0;w=59}}else{m=c[J>>2]|0;w=59}while(0);e:do if((w|0)==59){f:do if((j|0)==0&(m|0)==0){h[B>>3]=k;p=y+4|0;r=y+8|0;s=y+16|0;m=F;j=E;i=q;g:while(1){while(1){h[m>>3]=+h[j>>3]-i;i=+h[d>>3];if(!(+h[B>>3]>=i-+h[z>>3]))break f;EE(y,b,d,J);n=c[y>>2]|0;o=c[p>>2]|0;k=+h[r>>3];c[G>>2]=c[s>>2];c[G+4>>2]=c[s+4>>2];c[G+8>>2]=c[s+8>>2];c[G+12>>2]=c[s+12>>2];if(!n)break g;if(k<e)break;else{m=B;j=B;i=A}}c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];m=B;j=B;i=A;g=n;f=o;e=k}c[a>>2]=0;c[a+4>>2]=o;h[a+8>>3]=k;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break a}while(0);if(c[J+20>>2]|0)break;if(c[J+32>>2]|0)break;h[B>>3]=+h[C>>3]+i;i=+h[E>>3];n=H+4|0;o=H+8|0;p=H+16|0;k=i;i=i-+h[D>>3];while(1){h[F>>3]=i;if(!(i<=+h[I>>3]+k))break e;EE(H,b,d,J);j=c[H>>2]|0;m=c[n>>2]|0;i=+h[o>>3];c[G>>2]=c[p>>2];c[G+4>>2]=c[p+4>>2];c[G+8>>2]=c[p+8>>2];c[G+12>>2]=c[p+12>>2];if(!j)break;if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];g=j;f=m;e=i}k=+h[E>>3];i=+h[F>>3]+K}c[a>>2]=0;c[a+4>>2]=m;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break a}while(0);c[a>>2]=g;c[a+4>>2]=f;h[a+8>>3]=e;a=a+16|0;c[a>>2]=c[L>>2];c[a+4>>2]=c[L+4>>2];c[a+8>>2]=c[L+8>>2];c[a+12>>2]=c[L+12>>2]}while(0);l=M;return}function DE(a){a=a|0;lH(c[a+24>>2]|0)|0;_I(a);return}function EE(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0.0,j=0,k=0,m=0,n=0.0,o=0,p=0,q=0,r=0.0,s=0,t=0;t=l;l=l+48|0;q=t+32|0;s=t+16|0;p=t;g=c[e+32>>2]|0;if(!g)ma(96325,96335,382,96354);o=g+16|0;c[p>>2]=c[o>>2];c[p+4>>2]=c[o+4>>2];c[p+8>>2]=c[o+8>>2];c[p+12>>2]=c[o+12>>2];o=d+4|0;m=0;g=0;while(1){if((m|0)>=(c[o>>2]|0))break;j=c[d>>2]|0;k=j+(m*40|0)|0;do if((k|0)!=(e|0)){if(+h[j+(m*40|0)+16>>3]>0.0?+h[j+(m*40|0)+24>>3]>0.0:0)break;g=g+((FE(e,k)|0)!=0&1)|0}while(0);m=m+1|0}GE(e,q);m=c[d+24>>2]|0;m=nH(m,c[m>>2]|0,q)|0;if(!m){c[b>>2]=g;h[b+8>>3]=0.0;s=b+16|0;c[s>>2]=c[p>>2];c[s+4>>2]=c[p+4>>2];c[s+8>>2]=c[p+8>>2];c[s+12>>2]=c[p+12>>2]}else{k=m;i=0.0;while(1){if(!k)break;j=c[(c[k+4>>2]|0)+16>>2]|0;if((j|0)!=(e|0)){HE(j,s);n=+IE(q,s);if(n>0.0){g=g+1|0;i=+JE(e,j,q,n,f)+i}d=c[j+32>>2]|0;if(((d|0)!=0?(a[d+36>>0]|0)!=0:0)?(GE(j,s),r=+IE(q,s),r>0.0):0){g=g+1|0;i=+KE(e,j,q,r,f)+i}}k=c[k>>2]|0}iH(m);c[b>>2]=g;h[b+8>>3]=i;s=b+16|0;c[s>>2]=c[p>>2];c[s+4>>2]=c[p+4>>2];c[s+8>>2]=c[p+8>>2];c[s+12>>2]=c[p+12>>2]}l=t;return}function FE(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0.0,g=0.0;a=c[a+32>>2]|0;if(+h[b+16>>3]==0.0?+h[b+24>>3]==0.0:0){if((((a|0)!=0?(d=+h[b>>3],e=+h[a+16>>3],d>e):0)?d<+h[a>>3]+e:0)?(f=+h[b+8>>3],g=+h[a+24>>3],f>g):0)a=f<+h[a+8>>3]+g&1;else a=0;return a|0}ma(96391,96335,219,96428);return 0}function GE(a,b){a=a|0;b=b|0;var d=0.0,e=0.0;a=c[a+32>>2]|0;e=+h[a+16>>3];c[b>>2]=~~e;d=+h[a+24>>3];c[b+4>>2]=~~d;c[b+8>>2]=~~(+h[a>>3]+e);c[b+12>>2]=~~(+h[a+8>>3]+d);return}function HE(a,b){a=a|0;b=b|0;var d=0.0,e=0.0;e=+h[a>>3];c[b>>2]=~~e;d=+h[a+8>>3];c[b+4>>2]=~~d;c[b+8>>2]=~~(+h[a+16>>3]+e);c[b+12>>2]=~~(+h[a+24>>3]+d);return}function IE(a,b){a=a|0;b=b|0;var d=0.0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0;i=c[a+8>>2]|0;j=c[b>>2]|0;if((((i|0)>=(j|0)?(k=c[a>>2]|0,l=c[b+8>>2]|0,(k|0)<=(l|0)):0)?(e=c[a+12>>2]|0,f=c[b+4>>2]|0,(e|0)>=(f|0)):0)?(g=c[a+4>>2]|0,h=c[b+12>>2]|0,(g|0)<=(h|0)):0)d=(+(c[((e|0)<(h|0)?a:b)+12>>2]|0)-+(c[((g|0)>(f|0)?a:b)+4>>2]|0))*(+(c[((i|0)<(l|0)?a:b)+8>>2]|0)-+(c[((k|0)>(j|0)?a:b)>>2]|0));else d=0.0;return +d}function JE(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=+e;f=f|0;var g=0.0,h=0.0,i=0,j=0;j=l;l=l+16|0;i=j;a=LE(a,b)|0;f=f+(((a|0)<0?5:a)<<2)|0;a=c[f>>2]|0;if(!a){c[f>>2]=b;g=e}else{HE(a,i);g=+IE(d,i);g=g>e?g:0.0;a=c[f>>2]|0;if((c[a+32>>2]|0)!=0?(GE(a,i),h=+IE(d,i),h>e):0)g=h>g?h:g;if(!(g>0.0)){c[f>>2]=b;g=e}}l=j;return +g}function KE(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=+e;f=f|0;var g=0.0,h=0.0,i=0,j=0;j=l;l=l+16|0;i=j;a=LE(a,b)|0;f=f+(((a|0)<0?5:a)<<2)|0;a=c[f>>2]|0;if(!a){c[f>>2]=b;g=e}else{HE(a,i);g=+IE(d,i);g=g>e?g:0.0;a=c[f>>2]|0;if((c[a+32>>2]|0)!=0?(GE(a,i),h=+IE(d,i),h>e):0)g=h>g?h:g;if(!(g>0.0)){c[f>>2]=b;g=e}}l=j;return +g}function LE(b,d){b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0.0,j=0.0,k=0.0;e=c[b+32>>2]|0;f=c[d+32>>2]|0;if((e|0)==(f|0))ma(96370,96335,276,96380);do if((a[e+36>>0]|0)!=0?(a[f+36>>0]|0)!=0:0){j=+h[b>>3];if(j==0.0?+h[b+8>>3]==0.0:0){e=-1;break}k=+h[d>>3];i=+h[d+8>>3];if(!(k==0.0&i==0.0)){g=+h[b+8>>3];if(i<g){if(k<j){e=0;break}e=k>j?2:1;break}e=k<j;if(i>g){if(e){e=6;break}e=k>j?8:7;break}if(!e)if(k>j)e=5;else e=-1;else e=3}else e=-1}else e=-1;while(0);return e|0}function ME(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;k=l;l=l+32|0;d=k+24|0;e=k+16|0;f=k;g=xE(a)|0;h=a+4|0;i=e+4|0;j=a+20|0;b=0;while(1){if((b|0)>=(c[h>>2]|0)){b=0;break}m=vw(32)|0;o=(c[a>>2]|0)+(b*40|0)|0;n=m+12|0;c[m+28>>2]=o;PE(f,o);c[n>>2]=c[f>>2];c[n+4>>2]=c[f+4>>2];c[n+8>>2]=c[f+8>>2];c[n+12>>2]=c[f+12>>2];n=c[n>>2]|0;c[e>>2]=(((c[m+20>>2]|0)-n|0)/2|0)+n;n=c[m+16>>2]|0;c[i>>2]=(((c[m+24>>2]|0)-n|0)/2|0)+n;c[d>>2]=c[e>>2];c[d+4>>2]=c[e+4>>2];c[m+8>>2]=QE(d,g)|0;n=c[j>>2]|0;if(!(bb[c[n>>2]&31](n,m,1)|0)){b=-1;break}else b=b+1|0}l=k;return b|0}function NE(a){a=a|0;var b=0,d=0,e=0;d=a+20|0;e=c[d>>2]|0;b=a+24|0;a=bb[c[e>>2]&31](e,0,128)|0;while(1){if(!a)break;e=c[b>>2]|0;oH(e,a+12|0,c[a+28>>2]|0,e,0)|0;e=c[d>>2]|0;a=bb[c[e>>2]&31](e,a,8)|0}return}function OE(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;e=a+20|0;f=Sl(c[e>>2]|0)|0;d=0;while(1){if(!(Sl(c[e>>2]|0)|0))break;g=c[e>>2]|0;a=c[(c[g+8>>2]|0)+4>>2]|0;if(!a){h=8;break}b=c[(c[g+4>>2]|0)+8>>2]|0;if((b|0)<0)a=c[a+8>>2]|0;else a=a+(0-b)|0;if(!a){h=8;break}bb[c[g>>2]&31](g,a,4096)|0;_I(a);d=d+1|0}if((h|0)==8)ma(96441,96335,616,96444);if((f|0)==(d|0))return;else ma(96456,96335,623,96444)}function PE(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0.0,g=0.0,i=0,j=0,k=0,l=0.0;d=c[b+32>>2]|0;if(!d){e=0.0;f=0.0}else{e=+h[d>>3];f=+h[d+8>>3]}l=+h[b>>3];k=~~+A(+(l-e));g=+h[b+8>>3];j=~~+A(+(g-f));i=~~+N(+(l+e+ +h[b+16>>3]));if((i|0)==2147483647)ma(96468,96335,264,96495);d=~~+N(+(g+f+ +h[b+24>>3]));if((d|0)==2147483647)ma(96505,96335,266,96495);else{c[a>>2]=k;c[a+4>>2]=j;c[a+8>>2]=i;c[a+12>>2]=d;return}}function QE(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;f=0;e=c[a>>2]|0;d=c[a+4>>2]|0;while(1){a=b+-1|0;if((b|0)<=0)break;i=e>>>a&1;b=d>>>a&1;g=b+-1|0;h=g&(e^d);g=g&0-i;f=i<<1|f<<2|i^b;b=a;e=h^e^g;d=h^d^g}return f|0}function RE(b){b=b|0;var d=0,e=0,f=0,g=0;d=rJ(b)|0;if(d>>>0>=(c[42408]|0)>>>0){d=d+11|0;c[42408]=d;d=yw(c[42409]|0,d)|0;c[42409]=d;if(!d)d=0;else e=4}else{d=c[42409]|0;e=4}if((e|0)==4){g=d;while(1){e=a[b>>0]|0;if(!(e<<24>>24))break;f=e&255;if(kK(f)|0)e=(jK(f)|0)&255;a[g>>0]=e;g=g+1|0;b=b+1|0}a[g>>0]=0}return d|0}function SE(b,e,f){b=b|0;e=e|0;f=f|0;var g=0.0,i=0,j=0.0,k=0.0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0.0;F=l;l=l+144|0;s=F+96|0;p=F+80|0;v=F+124|0;t=F+72|0;w=F+64|0;x=F+56|0;C=F+48|0;D=F+40|0;E=F+32|0;y=F+24|0;z=F+16|0;A=F+8|0;B=F;i=F+120|0;m=F+116|0;n=F+112|0;o=F+108|0;c[e+32>>2]=f;r=b;while(1)if((a[r>>0]|0)==32)r=r+1|0;else break;c[o>>2]=255;b=a[r>>0]|0;a:do if(b<<24>>24==35){c[p>>2]=i;c[p+4>>2]=m;c[p+8>>2]=n;c[p+12>>2]=o;if((cM(r,96547,p)|0)<=2){b=a[r>>0]|0;q=12;break}switch(f|0){case 0:{G=+((c[i>>2]|0)>>>0)*.00392156862745098;h[C>>3]=G;g=+((c[m>>2]|0)>>>0)*.00392156862745098;h[D>>3]=g;j=+((c[n>>2]|0)>>>0)*.00392156862745098;h[E>>3]=j;k=+((c[o>>2]|0)>>>0)*.00392156862745098;TE(G,g,j,t,w,x);h[e>>3]=+h[t>>3];h[e+8>>3]=+h[w>>3];h[e+16>>3]=+h[x>>3];h[e+24>>3]=k;b=0;break a}case 1:{a[e>>0]=c[i>>2];a[e+1>>0]=c[m>>2];a[e+2>>0]=c[n>>2];a[e+3>>0]=c[o>>2];b=0;break a}case 3:{j=+((c[i>>2]|0)>>>0)*.00392156862745098;h[C>>3]=j;k=+((c[m>>2]|0)>>>0)*.00392156862745098;h[D>>3]=k;G=+((c[n>>2]|0)>>>0)*.00392156862745098;h[E>>3]=G;UE(j,k,G,y,z,A,B);a[e>>0]=~~+h[y>>3]*255;a[e+1>>0]=~~+h[z>>3]*255;a[e+2>>0]=~~+h[A>>3]*255;a[e+3>>0]=~~+h[B>>3]*255;b=0;break a}case 2:{c[e>>2]=(((c[i>>2]|0)*65535|0)>>>0)/255|0;c[e+4>>2]=(((c[m>>2]|0)*65535|0)>>>0)/255|0;c[e+8>>2]=(((c[n>>2]|0)*65535|0)>>>0)/255|0;c[e+12>>2]=(((c[o>>2]|0)*65535|0)>>>0)/255|0;b=0;break a}case 4:{h[e>>3]=+((c[i>>2]|0)>>>0)*.00392156862745098;h[e+8>>3]=+((c[m>>2]|0)>>>0)*.00392156862745098;h[e+16>>3]=+((c[n>>2]|0)>>>0)*.00392156862745098;h[e+24>>3]=+((c[o>>2]|0)>>>0)*.00392156862745098;b=0;break a}default:{b=0;break a}}}else q=12;while(0);b:do if((q|0)==12){if(!(b<<24>>24!=46?((b&255)+-48|0)>>>0>=10:0)){b=rJ(r)|0;if(b>>>0>=(c[42410]|0)>>>0){b=b+11|0;c[42410]=b;b=yw(c[42411]|0,b)|0;c[42411]=b;if(!b){b=-1;break}}else b=c[42411]|0;m=b;i=r;c:while(1){n=i+1|0;i=a[i>>0]|0;switch(i<<24>>24){case 0:break c;case 44:{i=32;break}default:{}}a[m>>0]=i;m=m+1|0;i=n}a[m>>0]=0;c[s>>2]=t;c[s+4>>2]=w;c[s+8>>2]=x;if((cM(b,96561,s)|0)==3){k=+h[t>>3];k=k<1.0?k:1.0;k=k>0.0?k:0.0;h[t>>3]=k;j=+h[w>>3];j=j<1.0?j:1.0;j=j>0.0?j:0.0;h[w>>3]=j;g=+h[x>>3];g=g<1.0?g:1.0;g=g>0.0?g:0.0;h[x>>3]=g;switch(f|0){case 0:{h[e>>3]=k;h[e+8>>3]=j;h[e+16>>3]=g;h[e+24>>3]=1.0;b=0;break b}case 1:{VE(k,j,g,C,D,E);a[e>>0]=~~(+h[C>>3]*255.0);a[e+1>>0]=~~(+h[D>>3]*255.0);a[e+2>>0]=~~(+h[E>>3]*255.0);a[e+3>>0]=-1;b=0;break b}case 3:{VE(k,j,g,C,D,E);UE(+h[C>>3],+h[D>>3],+h[E>>3],y,z,A,B);a[e>>0]=~~+h[y>>3]*255;a[e+1>>0]=~~+h[z>>3]*255;a[e+2>>0]=~~+h[A>>3]*255;a[e+3>>0]=~~+h[B>>3]*255;b=0;break b}case 2:{VE(k,j,g,C,D,E);c[e>>2]=~~(+h[C>>3]*65535.0);c[e+4>>2]=~~(+h[D>>3]*65535.0);c[e+8>>2]=~~(+h[E>>3]*65535.0);c[e+12>>2]=65535;b=0;break b}case 4:{VE(k,j,g,C,D,E);h[e>>3]=+h[C>>3];h[e+8>>3]=+h[D>>3];h[e+16>>3]=+h[E>>3];h[e+24>>3]=1.0;b=0;break b}default:{b=0;break b}}}}i=WE(r)|0;c[v>>2]=i;if(!i)b=-1;else{b=c[42412]|0;if(!(((b|0)!=0?(u=c[b>>2]|0,(a[u>>0]|0)==(a[i>>0]|0)):0)?(xJ(u,i)|0)==0:0)){b=vM(v,24932,2491,12,38)|0;c[42412]=b;if(!b)switch(f|0){case 0:{c[e>>2]=0;c[e+4>>2]=0;c[e+8>>2]=0;c[e+12>>2]=0;c[e+16>>2]=0;c[e+20>>2]=0;h[e+24>>3]=1.0;b=1;break b}case 1:{a[e+2>>0]=0;a[e+1>>0]=0;a[e>>0]=0;a[e+3>>0]=-1;b=1;break b}case 3:{c[e>>2]=0;b=1;break b}case 2:{c[e+8>>2]=0;c[e+4>>2]=0;c[e>>2]=0;c[e+12>>2]=65535;b=1;break b}case 4:{c[e>>2]=0;c[e+4>>2]=0;c[e+8>>2]=0;c[e+12>>2]=0;c[e+16>>2]=0;c[e+20>>2]=0;h[e+24>>3]=1.0;b=1;break b}default:{b=1;break b}}}switch(f|0){case 0:{h[e>>3]=+(d[b+4>>0]|0)*.00392156862745098;h[e+8>>3]=+(d[b+5>>0]|0)*.00392156862745098;h[e+16>>3]=+(d[b+6>>0]|0)*.00392156862745098;h[e+24>>3]=+(d[b+10>>0]|0)*.00392156862745098;b=0;break b}case 1:{a[e>>0]=a[b+7>>0]|0;a[e+1>>0]=a[b+8>>0]|0;a[e+2>>0]=a[b+9>>0]|0;a[e+3>>0]=a[b+10>>0]|0;b=0;break b}case 3:{j=+(d[b+7>>0]|0)*.00392156862745098;h[C>>3]=j;k=+(d[b+8>>0]|0)*.00392156862745098;h[D>>3]=k;G=+(d[b+9>>0]|0)*.00392156862745098;h[E>>3]=G;UE(j,k,G,y,z,A,B);a[e>>0]=~~+h[y>>3]*255;a[e+1>>0]=~~+h[z>>3]*255;a[e+2>>0]=~~+h[A>>3]*255;a[e+3>>0]=~~+h[B>>3]*255;b=0;break b}case 2:{c[e>>2]=(d[b+7>>0]|0)*257;c[e+4>>2]=(d[b+8>>0]|0)*257;c[e+8>>2]=(d[b+9>>0]|0)*257;c[e+12>>2]=(d[b+10>>0]|0)*257;b=0;break b}case 4:{h[e>>3]=+(d[b+7>>0]|0)*.00392156862745098;h[e+8>>3]=+(d[b+8>>0]|0)*.00392156862745098;h[e+16>>3]=+(d[b+9>>0]|0)*.00392156862745098;h[e+24>>3]=+(d[b+10>>0]|0)*.00392156862745098;b=0;break b}default:{b=0;break b}}}}while(0);l=F;return b|0}function TE(a,b,c,d,e,f){a=+a;b=+b;c=+c;d=d|0;e=e|0;f=f|0;var g=0.0,i=0.0,j=0.0,k=0.0,l=0.0,m=0.0;i=b<c?b:c;m=b>c?b:c;m=m<a?a:m;i=m-(i>a?a:i);g=i/m;if(m>0.0)if(g>0.0){j=(m-a)/i;k=(m-b)/i;l=(m-c)/i;do if(!(m==a)){if(m==b){a=j+2.0-l;break}if(m==c)a=k+4.0-j;else a=0.0}else a=(b-c)/i;while(0);a=a*60.0;if(a<0.0)a=a+360.0}else a=0.0;else{g=0.0;a=0.0}h[d>>3]=a*.002777777777777778;h[f>>3]=m;h[e>>3]=g;return}function UE(a,b,c,d,e,f,g){a=+a;b=+b;c=+c;d=d|0;e=e|0;f=f|0;g=g|0;h[d>>3]=1.0-a;h[e>>3]=1.0-b;h[f>>3]=1.0-c;b=+h[d>>3];c=+h[e>>3];c=b<c?b:c;h[g>>3]=c;b=+h[f>>3];c=b<c?b:c;h[g>>3]=c;h[d>>3]=+h[d>>3]-c;h[e>>3]=+h[e>>3]-+h[g>>3];h[f>>3]=+h[f>>3]-+h[g>>3];return}function VE(a,b,c,d,e,f){a=+a;b=+b;c=+c;d=d|0;e=e|0;f=f|0;var g=0.0,i=0.0,j=0.0,k=0,l=0;a:do if(!(b<=0.0)){i=!(a>=1.0)?a*6.0:0.0;l=~~i;i=i-+(l|0);a=(1.0-b)*c;j=(1.0-i*b)*c;b=(1.0-(1.0-i)*b)*c;switch(l|0){case 0:{g=a;i=b;a=c;k=8;break a}case 1:{g=a;i=c;a=j;k=8;break a}case 2:{g=b;i=c;k=8;break a}case 3:{g=c;i=j;k=8;break a}case 4:{g=c;i=a;a=b;k=8;break a}case 5:{g=j;i=a;a=c;k=8;break a}default:break a}}else{g=c;i=c;a=c;k=8}while(0);if((k|0)==8){h[d>>3]=a;h[e>>3]=i;h[f>>3]=g}return}function WE(b){b=b|0;var d=0,e=0;d=a[b>>0]|0;if(((d<<24>>24!=98?(e=b+1|0,!(d<<24>>24==119|(VJ(e,122058,4)|0)==0)):0)?!(d<<24>>24==108|(VJ(e,122063,4)|0)==0):0)?(VJ(e,122068,8)|0)!=0:0){do if(d<<24>>24==47){d=WJ(e,47)|0;if(!d)b=e;else{if((a[e>>0]|0)!=47){e=(pK(122077,e,4)|0)==0;b=e?d+1|0:b;break}d=c[42413]|0;if((d|0?a[d>>0]|0:0)?pK(122077,d,3)|0:0){b=YE(d,b+2|0)|0;break}b=b+2|0}}else{d=c[42413]|0;if(((d|0)!=0?(a[d>>0]|0)!=0:0)?(pK(122077,d,3)|0)!=0:0)b=YE(d,b)|0}while(0);b=RE(b)|0}return b|0}function XE(a,b){a=a|0;b=b|0;return iK(c[a>>2]|0,c[b>>2]|0)|0}function YE(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;f=l;l=l+16|0;e=f;g=rJ(a)|0;g=(rJ(b)|0)+g|0;d=g+13|0;if((g+3|0)>>>0<(c[42414]|0)>>>0)d=c[42415]|0;else{c[42414]=d;d=yw(c[42415]|0,d)|0;c[42415]=d}c[e>>2]=a;c[e+4>>2]=b;pL(d,122082,e)|0;l=f;return c[42415]|0}function ZE(a){a=a|0;c[42413]=a;return}function _E(a,b,c,d,e){a=a|0;b=+b;c=+c;d=+d;e=+e;var f=0,g=0;f=l;l=l+208|0;g=f;$E(g,+h[a>>3],+h[a+8>>3],b,c,d,e);a=aF(g)|0;l=f;return a|0}function $E(a,b,c,d,e,f,g){a=a|0;b=+b;c=+c;d=+d;e=+e;f=+f;g=+g;var i=0,j=0;h[a>>3]=b;h[a+8>>3]=c;j=a+16|0;h[j>>3]=d;i=a+24|0;h[i>>3]=e;h[a+32>>3]=0.0;c=+K(+(+F(+f)/e),+(+E(+f)/d));h[a+56>>3]=c;e=+K(+(+F(+g)/e),+(+E(+g)/d));h[a+40>>3]=1.0;h[a+48>>3]=0.0;e=e-+A(+((e-c)*.15915494309189535))*6.283185307179586;h[a+64>>3]=g-f>3.141592653589793&e-c<3.141592653589793?e+6.283185307179586:e;gF(a);hF(a);iF(a);g=+h[j>>3];g=(g-+h[i>>3])/g;h[a+168>>3]=g;h[a+176>>3]=(2.0-g)*g;g=1.0-g;h[a+184>>3]=g;h[a+192>>3]=g*g;return}function aF(a){a=a|0;var b=0,c=0.0,d=0,e=0.0,f=0.0,g=0.0,i=0.0,j=0,k=0,l=0,m=0,n=0.0,o=0.0,p=0,q=0,r=0.0,s=0.0,t=0.0,u=0.0,v=0.0,w=0.0,x=0.0,y=0.0,z=0.0;q=vw(8)|0;f=+h[a+56>>3];e=+h[a+64>>3]-f;p=1;b=0;while(1){o=e/+(p|0);if(!(b<<24>>24==0&(p|0)<1024))break;a:do if(!(o<=1.5707963267948966))b=0;else{c=f;d=0;b=1;while(1){if(!(b<<24>>24!=0&(d|0)<(p|0)))break a;n=c+o;b=+bF(a,c,n)<=1.0e-05&1;c=n;d=d+1|0}}while(0);p=p<<1}i=+E(+f);u=+F(+f);d=a+16|0;s=+h[d>>3];v=s*i;j=a+24|0;c=+h[j>>3];g=c*u;i=c*i;c=+h[a>>3];k=a+40|0;t=+h[k>>3];l=a+48|0;r=+h[l>>3];e=t*v+c-r*g;m=a+8|0;n=+h[m>>3];g=r*v+t*g+n;s=-(u*s);cF(q,c,n);dF(q,e,g);n=+G(+(o*.5));n=+F(+o)*.3333333333333333*(+C(+(n*n*3.0+4.0))+-1.0);c=f;f=g;g=r*s+t*i;i=t*s-r*i;b=0;while(1){if((b|0)>=(p|0))break;r=c+o;u=+E(+r);v=+F(+r);x=+h[d>>3];z=x*u;w=+h[j>>3];t=w*v;u=w*u;w=+h[k>>3];y=+h[l>>3];s=w*z+ +h[a>>3]-y*t;t=y*z+w*t+ +h[m>>3];x=-(v*x);v=w*x-y*u;u=y*x+w*u;eF(q,e+i*n,f+g*n,s-v*n,t-u*n,s,t);c=r;e=s;f=t;g=u;i=v;b=b+1|0}fF(q);return q|0}function bF(a,b,c){a=a|0;b=+b;c=+c;var d=0.0,e=0.0,f=0.0,g=0.0,i=0.0;d=c+b;i=+h[a+16>>3];e=+h[a+24>>3]/i;g=+E(+d);f=+E(+(d*2.0));d=+E(+(d*3.0));a=e<.25?10328:10584;return +(((e*.001+4.98)*e+.207)/(e+.0067)*i*+L(+(((+h[a+32>>3]*e+ +h[a+40>>3])*e+ +h[a+48>>3])/(+h[a+56>>3]+e)*g+((+h[a>>3]*e+ +h[a+8>>3])*e+ +h[a+16>>3])/(+h[a+24>>3]+e)+((+h[a+64>>3]*e+ +h[a+72>>3])*e+ +h[a+80>>3])/(+h[a+88>>3]+e)*f+((+h[a+96>>3]*e+ +h[a+104>>3])*e+ +h[a+112>>3])/(+h[a+120>>3]+e)*d+(((+h[a+160>>3]*e+ +h[a+168>>3])*e+ +h[a+176>>3])/(+h[a+184>>3]+e)*g+((+h[a+128>>3]*e+ +h[a+136>>3])*e+ +h[a+144>>3])/(+h[a+152>>3]+e)+((+h[a+192>>3]*e+ +h[a+200>>3])*e+ +h[a+208>>3])/(+h[a+216>>3]+e)*f+((+h[a+224>>3]*e+ +h[a+232>>3])*e+ +h[a+240>>3])/(+h[a+248>>3]+e)*d)*(c-b))))}function cF(a,b,d){a=a|0;b=+b;d=+d;var e=0;c[42416]=100;e=vw(1600)|0;c[a>>2]=e;h[e>>3]=b;h[e+8>>3]=d;c[a+4>>2]=1;return}function dF(a,b,d){a=a|0;b=+b;d=+d;var e=0,f=0;f=c[a>>2]|0;e=(c[a+4>>2]|0)+-1|0;eF(a,+h[f+(e<<4)>>3],+h[f+(e<<4)+8>>3],b,d,b,d);return}function eF(a,b,d,e,f,g,i){a=a|0;b=+b;d=+d;e=+e;f=+f;g=+g;i=+i;var j=0,k=0,l=0,m=0;l=a+4|0;j=c[l>>2]|0;k=c[42416]|0;if((j+3|0)<(k|0))a=c[a>>2]|0;else{c[42416]=k<<1;j=aJ(c[a>>2]|0,k<<5)|0;c[a>>2]=j;a=j;j=c[l>>2]|0}h[a+(j<<4)>>3]=b;m=j+1|0;h[a+(j<<4)+8>>3]=d;h[a+(m<<4)>>3]=e;k=j+2|0;h[a+(m<<4)+8>>3]=f;h[a+(k<<4)>>3]=g;c[l>>2]=j+3;h[a+(k<<4)+8>>3]=i;return}function fF(a){a=a|0;var b=0;b=c[a>>2]|0;dF(a,+h[b>>3],+h[b+8>>3]);c[a>>2]=aJ(c[a>>2]|0,c[a+4>>2]<<4)|0;c[42416]=0;return}function gF(a){a=a|0;var b=0.0,c=0.0,d=0.0,e=0.0;d=+h[a+16>>3];b=+h[a+24>>3];b=+C(+(d*d-b*b));d=b*+h[a+40>>3];b=b*+h[a+48>>3];e=+h[a>>3];h[a+104>>3]=e-d;c=+h[a+8>>3];h[a+112>>3]=c-b;h[a+120>>3]=e+d;h[a+128>>3]=c+b;return}function hF(a){a=a|0;var b=0.0,c=0.0,d=0.0,e=0.0,f=0.0,g=0.0,i=0.0,j=0.0;d=+h[a+16>>3];i=+h[a+56>>3];j=+E(+i)*d;b=+h[a+24>>3];i=+F(+i)*b;g=+h[a+64>>3];d=+E(+g)*d;b=+F(+g)*b;g=+h[a>>3];c=+h[a+40>>3];e=+h[a+48>>3];h[a+72>>3]=c*j+g-e*i;f=+h[a+8>>3];h[a+80>>3]=e*j+f+c*i;h[a+88>>3]=g+c*d-e*b;h[a+96>>3]=f+e*d+c*b;return}function iF(a){a=a|0;var b=0.0,c=0.0,d=0.0,e=0.0,f=0.0,g=0.0,i=0.0,j=0.0,k=0.0,l=0.0,m=0.0,n=0;k=+h[a+24>>3];l=+h[a+16>>3];e=k/l;m=+h[a+48>>3];n=+B(+m)<.1;j=+h[a+40>>3];do if(n){b=m/j;c=+J(+(b*e));d=-c;if(j<0.0){b=+J(+(b/e));e=d;d=3.141592653589793-c;c=4.71238898038469-b;b=1.5707963267948966-b;break}else{b=+J(+(b/e));e=-3.141592653589793-c;c=1.5707963267948966-b;b=-1.5707963267948966-b;break}}else{b=j/m;c=+J(+(b/e));d=c+1.5707963267948966;if(m<0.0){b=+J(+(b*e));e=c+-1.5707963267948966;c=b+3.141592653589793;break}else{b=+J(+(b*e));e=d;d=c+4.71238898038469;c=b;b=b+-3.141592653589793;break}}while(0);g=+h[a+56>>3];e=e-+A(+((e-g)*.15915494309189535))*6.283185307179586;b=b-+A(+((b-g)*.15915494309189535))*6.283185307179586;f=d-+A(+((d-g)*.15915494309189535))*6.283185307179586;g=c-+A(+((c-g)*.15915494309189535))*6.283185307179586;i=+h[a+64>>3];if(!(e<=i)){e=+h[a+72>>3];c=+h[a+88>>3];c=e<c?e:c}else c=+E(+e)*l*j+ +h[a>>3]-k*+F(+e)*m;h[a+136>>3]=c;if(!(b<=i)){e=+h[a+80>>3];d=+h[a+96>>3];d=e<d?e:d}else d=+E(+b)*l*m+ +h[a+8>>3]+ +F(+b)*k*j;h[a+144>>3]=d;if(!(f<=i)){f=+h[a+72>>3];b=+h[a+88>>3];b=f>b?f:b}else b=+E(+f)*l*j+ +h[a>>3]-k*+F(+f)*m;h[a+152>>3]=b-c;if(!(g<=i)){m=+h[a+80>>3];b=+h[a+96>>3];b=m>b?m:b}else b=+E(+g)*l*m+ +h[a+8>>3]+ +F(+g)*k*j;h[a+160>>3]=b-d;return}function jF(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0,j=0,k=0.0,m=0,n=0;n=l;l=l+80|0;m=n;kF(b);k=+h[e+56>>3];g=+h[e+64>>3];switch(a[e+80>>0]|0){case 116:{g=(+h[e+48>>3]-+lF(d))*.5+g;f=4;break}case 98:{g=g-(+h[e+48>>3]-+lF(d))*.5;f=4;break}default:{}}if((f|0)==4)g=g+-1.0;h[m>>3]=k;h[m+8>>3]=g;c[m+20>>2]=c[e+8>>2];c[m+16>>2]=c[e+4>>2];h[m+32>>3]=+h[e+16>>3];j=b+16|0;f=Im(c[(c[j>>2]|0)+8>>2]|0,122089)|0;e=m+56|0;c[e>>2]=f;i=m+60|0;c[i>>2]=c[(c[j>>2]|0)+212>>2];j=m+64|0;a[j>>0]=0;if(!((f|0)!=0?(a[f>>0]|0)!=0:0))c[e>>2]=122100;if((a[d+4>>0]|0)==1){e=c[d>>2]|0;FD(b,c[(c[b>>2]|0)+336>>2]|0);f=c[e+24>>2]|0;if(!f)BD(b,122106);else BD(b,f);nF(b,e,m);if(a[j>>0]|0)_I(c[i>>2]|0)}else mF(b,c[d>>2]|0,m);oF(b);l=n;return}function kF(a){a=a|0;var d=0,e=0,f=0;d=Vt(a)|0;e=c[d>>2]|0;a=c[e+4>>2]|0;c[d+4>>2]=a;c[d+12>>2]=c[e+12>>2];switch(a|0){case 2:{a=e+8|0;f=6;break}case 0:{a=e+8|0;f=6;break}case 1:{a=e+8|0;f=6;break}case 3:{a=e+8|0;f=6;break}default:{}}if((f|0)==6)c[d+8>>2]=c[a>>2];c[d+208>>2]=c[e+208>>2];c[d+228>>2]=c[e+228>>2];c[d+244>>2]=c[e+244>>2];f=d+260|0;b[f>>1]=b[f>>1]&-2|b[e+260>>1]&1;return}function lF(b){b=b|0;var d=0.0,e=0,f=0;switch(a[b+4>>0]|0){case 1:{e=c[b>>2]|0;b=e+72|0;e=e+56|0;f=5;break}case 3:{e=c[b>>2]|0;b=e+24|0;e=e+8|0;f=5;break}case 2:{e=c[b>>2]|0;b=e+32|0;e=e+16|0;f=5;break}default:d=0.0}if((f|0)==5)d=+h[b>>3]-+h[e>>3];return +d}function mF(d,e,f){d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0.0,p=0.0,q=0,r=0,s=0;n=l;l=l+96|0;j=n+64|0;i=n+32|0;g=n+16|0;k=n;m=b[e+4>>1]|0;if(m<<16>>16>=1){r=e+8|0;p=+h[e+24>>3];o=+h[r>>3];h[k>>3]=(o+p)*.5+ +h[f>>3];h[k+8>>3]=(+h[e+16>>3]+ +h[e+32>>3])*.5+ +h[f+8>>3];q=c[e>>2]|0;s=f+16|0;f=a[e+6>>0]|0;c[g>>2]=c[k>>2];c[g+4>>2]=c[k+4>>2];c[g+8>>2]=c[k+8>>2];c[g+12>>2]=c[k+12>>2];c[i>>2]=c[s>>2];c[i+4>>2]=c[s+4>>2];c[i+8>>2]=c[s+8>>2];c[i+12>>2]=c[s+12>>2];c[i+16>>2]=c[s+16>>2];c[i+20>>2]=c[s+20>>2];c[i+24>>2]=c[s+24>>2];c[i+28>>2]=c[s+28>>2];c[j>>2]=c[r>>2];c[j+4>>2]=c[r+4>>2];c[j+8>>2]=c[r+8>>2];c[j+12>>2]=c[r+12>>2];c[j+16>>2]=c[r+16>>2];c[j+20>>2]=c[r+20>>2];c[j+24>>2]=c[r+24>>2];c[j+28>>2]=c[r+28>>2];AF(d,m<<16>>16,q,g,(p-o)*.5,i,j,f)}l=n;return}function nF(e,f,g){e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0.0,n=0.0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0;y=l;l=l+176|0;t=y+96|0;v=y+64|0;w=y+136|0;p=y;q=y+128|0;r=f+48|0;c[v>>2]=c[r>>2];c[v+4>>2]=c[r+4>>2];c[v+8>>2]=c[r+8>>2];c[v+12>>2]=c[r+12>>2];c[v+16>>2]=c[r+16>>2];c[v+20>>2]=c[r+20>>2];c[v+24>>2]=c[r+24>>2];c[v+28>>2]=c[r+28>>2];m=+h[g>>3];n=+h[g+8>>3];r=f+84|0;i=c[r>>2]|0;if(!(c[f>>2]|0))x=(c[f+8>>2]|0)!=0;else x=1;u=f+108|0;j=c[u>>2]|0;if(j|0)pF(g,j,167296);h[v>>3]=+h[v>>3]+m;s=v+16|0;h[s>>3]=+h[s>>3]+m;s=v+8|0;h[s>>3]=+h[s>>3]+n;s=v+24|0;h[s>>3]=+h[s>>3]+n;if(x?(c[e+152>>2]&4|0)==0:0){c[t>>2]=c[v>>2];c[t+4>>2]=c[v+4>>2];c[t+8>>2]=c[v+8>>2];c[t+12>>2]=c[v+12>>2];c[t+16>>2]=c[v+16>>2];c[t+20>>2]=c[v+20>>2];c[t+24>>2]=c[v+24>>2];c[t+28>>2]=c[v+28>>2];s=qF(e,g,f,t,w)|0}else s=0;o=f+42|0;j=b[o>>1]|0;if(!(j&32)){k=c[f+20>>2]|0;if(k){j=rF(e,k,c[f+28>>2]|0,j&65535,q)|0;if(!(b[o>>1]&4)){c[t>>2]=c[v>>2];c[t+4>>2]=c[v+4>>2];c[t+8>>2]=c[v+8>>2];c[t+12>>2]=c[v+12>>2];c[t+16>>2]=c[v+16>>2];c[t+20>>2]=c[v+20>>2];c[t+24>>2]=c[v+24>>2];c[t+28>>2]=c[v+28>>2];ID(e,t,j)}else{o=d[f+33>>0]|0;c[t>>2]=c[v>>2];c[t+4>>2]=c[v+4>>2];c[t+8>>2]=c[v+8>>2];c[t+12>>2]=c[v+12>>2];c[t+16>>2]=c[v+16>>2];c[t+20>>2]=c[v+20>>2];c[t+24>>2]=c[v+24>>2];c[t+28>>2]=c[v+28>>2];yy(e,sF(p,t,o)|0,4,4,j)}_I(c[q>>2]|0)}while(1){j=c[i>>2]|0;if(!j)break;tF(e,j,g);i=i+4|0}i=c[r>>2]|0;OD(e,1.0);j=f+24|0;while(1){k=i+4|0;i=c[i>>2]|0;if(!i)break;if(!(a[i+100>>0]|0)){i=k;continue}uF(e,i,g,c[j>>2]|0,c[k>>2]|0);i=k}if(a[f+33>>0]|0){c[t>>2]=c[v>>2];c[t+4>>2]=c[v+4>>2];c[t+8>>2]=c[v+8>>2];c[t+12>>2]=c[v+12>>2];c[t+16>>2]=c[v+16>>2];c[t+20>>2]=c[v+20>>2];c[t+24>>2]=c[v+24>>2];c[t+28>>2]=c[v+28>>2];vF(e,f,t)}}if(s|0)wF(e,w);if((x?c[e+152>>2]&4|0:0)?(c[t>>2]=c[v>>2],c[t+4>>2]=c[v+4>>2],c[t+8>>2]=c[v+8>>2],c[t+12>>2]=c[v+12>>2],c[t+16>>2]=c[v+16>>2],c[t+20>>2]=c[v+20>>2],c[t+24>>2]=c[v+24>>2],c[t+28>>2]=c[v+28>>2],qF(e,g,f,t,w)|0):0)wF(e,w);if(c[u>>2]|0)xF(g,167296);l=y;return}function oF(a){a=a|0;var b=0;b=c[a+16>>2]|0;c[b+208>>2]=0;c[b+228>>2]=0;c[b+244>>2]=0;c[b+212>>2]=0;Wt(a);return}function pF(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0,g=0,i=0;i=a+16|0;f=c[i>>2]|0;if(f|0){if(!(c[b>>2]|0)){f=0;g=d}else{c[d>>2]=f;f=c[b>>2]|0;g=i}c[g>>2]=f}f=c[a+20>>2]|0;if(f|0){g=b+4|0;if(!(c[g>>2]|0)){f=0;g=d}else{c[d+4>>2]=f;f=c[g>>2]|0;g=i}c[g+4>>2]=f}e=+h[a+32>>3];if(e>=0.0){f=b+16|0;if(!(+h[f>>3]>=0.0))e=-1.0;else{h[d+16>>3]=e;e=+h[f>>3];d=i}h[d+16>>3]=e}return}function qF(d,e,f,g,h){d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;var i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+224|0;n=u+8|0;k=u;t=u+40|0;j=u+184|0;i=u+56|0;m=c[d+16>>2]|0;o=m+208|0;c[h>>2]=c[o>>2];p=m+228|0;c[h+4>>2]=c[p>>2];q=m+244|0;c[h+8>>2]=c[q>>2];r=m+212|0;c[h+12>>2]=c[r>>2];s=m+260|0;a[h+16>>0]=(b[s>>1]<<15&65535)<<16>>16>>15;h=c[f+16>>2]|0;if((h|0)!=0?(a[h>>0]|0)!=0:0)i=0;else{cm(t,128,i);i=e+60|0;h=c[i>>2]|0;if(!h){h=GL(Yt(d,c[m+8>>2]|0,t)|0)|0;c[i>>2]=h;a[e+64>>0]=1}fm(t,h)|0;i=c[42417]|0;c[42417]=i+1;c[k>>2]=i;pL(j,122183,k)|0;fm(t,j)|0;i=t+4|0;h=c[i>>2]|0;if(h>>>0>=(c[t+8>>2]|0)>>>0){dm(t,1)|0;h=c[i>>2]|0}a[h>>0]=0;h=c[t>>2]|0;c[i>>2]=h;i=1}h=Xt(d,0,c[f>>2]|0,c[f+12>>2]|0,c[f+8>>2]|0,h,c[m+8>>2]|0)|0;if(i)gm(t);do if(h|0){if((c[o>>2]|0)==0?(b[s>>1]&1)==0:0)break;c[n>>2]=c[g>>2];c[n+4>>2]=c[g+4>>2];c[n+8>>2]=c[g+8>>2];c[n+12>>2]=c[g+12>>2];c[n+16>>2]=c[g+16>>2];c[n+20>>2]=c[g+20>>2];c[n+24>>2]=c[g+24>>2];c[n+28>>2]=c[g+28>>2];du(d,n);wD(d,c[o>>2]|0,c[p>>2]|0,c[q>>2]|0,c[r>>2]|0)}while(0);l=u;return h|0}function rF(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var h=0.0,i=0,j=0;j=l;l=l+16|0;i=j;if(!((xv(b,f,i)|0)<<24>>24)){DD(a,b);b=1}else{DD(a,c[f>>2]|0);b=c[f+4>>2]|0;h=+g[i>>2];if(!b)ED(a,122106,d,h);else ED(a,b,d,h);b=e>>>1&1|2}BD(a,122171);l=j;return b|0}function sF(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0.0,g=0.0,i=0.0,j=0.0;c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];e=a+32|0;b=b+16|0;c[e>>2]=c[b>>2];c[e+4>>2]=c[b+4>>2];c[e+8>>2]=c[b+8>>2];c[e+12>>2]=c[b+12>>2];if((d|0)>1){j=+(d|0)*.5;i=+h[a>>3]+j;h[a>>3]=i;d=a+8|0;g=+h[d>>3]+j;h[d>>3]=g;f=+h[e>>3]-j;h[e>>3]=f;e=a+40|0;j=+h[e>>3]-j;h[e>>3]=j}else{f=+h[e>>3];g=+h[a+8>>3];i=+h[a>>3];j=+h[a+40>>3]}h[a+16>>3]=f;h[a+24>>3]=g;h[a+48>>3]=i;h[a+56>>3]=j;return a|0}function tF(e,f,g){e=e|0;f=f|0;g=g|0;var i=0,j=0.0,k=0.0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0;v=l;l=l+176|0;r=v+96|0;s=v+136|0;t=v+64|0;p=v;q=v+128|0;u=f+48|0;c[t>>2]=c[u>>2];c[t+4>>2]=c[u+4>>2];c[t+8>>2]=c[u+8>>2];c[t+12>>2]=c[u+12>>2];c[t+16>>2]=c[u+16>>2];c[t+20>>2]=c[u+20>>2];c[t+24>>2]=c[u+24>>2];c[t+28>>2]=c[u+28>>2];j=+h[g>>3];k=+h[g+8>>3];if(!(c[f>>2]|0))u=(c[f+8>>2]|0)!=0;else u=1;h[t>>3]=+h[t>>3]+j;o=t+16|0;h[o>>3]=+h[o>>3]+j;o=t+8|0;h[o>>3]=+h[o>>3]+k;o=t+24|0;h[o>>3]=+h[o>>3]+k;if(u?(c[e+152>>2]&4|0)==0:0){c[r>>2]=c[t>>2];c[r+4>>2]=c[t+4>>2];c[r+8>>2]=c[t+8>>2];c[r+12>>2]=c[t+12>>2];c[r+16>>2]=c[t+16>>2];c[r+20>>2]=c[t+20>>2];c[r+24>>2]=c[t+24>>2];c[r+28>>2]=c[t+28>>2];o=qF(e,g,f,r,s)|0}else o=0;n=f+42|0;i=b[n>>1]|0;a:do if(!(i&32)){m=c[f+20>>2]|0;if(m|0){i=rF(e,m,c[f+28>>2]|0,i&65535,q)|0;if(!(b[n>>1]&4)){c[r>>2]=c[t>>2];c[r+4>>2]=c[t+4>>2];c[r+8>>2]=c[t+8>>2];c[r+12>>2]=c[t+12>>2];c[r+16>>2]=c[t+16>>2];c[r+20>>2]=c[t+20>>2];c[r+24>>2]=c[t+24>>2];c[r+28>>2]=c[t+28>>2];ID(e,r,i)}else{n=d[f+33>>0]|0;c[r>>2]=c[t>>2];c[r+4>>2]=c[t+4>>2];c[r+8>>2]=c[t+8>>2];c[r+12>>2]=c[t+12>>2];c[r+16>>2]=c[t+16>>2];c[r+20>>2]=c[t+20>>2];c[r+24>>2]=c[t+24>>2];c[r+28>>2]=c[t+28>>2];yy(e,sF(p,r,n)|0,4,4,i)}_I(c[q>>2]|0)}if(a[f+33>>0]|0){c[r>>2]=c[t>>2];c[r+4>>2]=c[t+4>>2];c[r+8>>2]=c[t+8>>2];c[r+12>>2]=c[t+12>>2];c[r+16>>2]=c[t+16>>2];c[r+20>>2]=c[t+20>>2];c[r+24>>2]=c[t+24>>2];c[r+28>>2]=c[t+28>>2];vF(e,f,r)}i=f+88|0;switch(a[f+92>>0]|0){case 1:{nF(e,c[i>>2]|0,g);break a}case 3:{zF(e,c[i>>2]|0,g);break a}default:{mF(e,c[i>>2]|0,g);break a}}}while(0);if(o|0)wF(e,s);if((u?c[e+152>>2]&4|0:0)?(c[r>>2]=c[t>>2],c[r+4>>2]=c[t+4>>2],c[r+8>>2]=c[t+8>>2],c[r+12>>2]=c[t+12>>2],c[r+16>>2]=c[t+16>>2],c[r+20>>2]=c[t+20>>2],c[r+24>>2]=c[t+24>>2],c[r+28>>2]=c[t+28>>2],qF(e,g,f,r,s)|0):0)wF(e,s);l=v;return}function uF(f,g,i,j,k){f=f|0;g=g|0;i=i|0;j=j|0;k=k|0;var m=0.0,n=0,o=0.0,p=0.0,q=0,r=0.0,s=0.0,t=0.0,u=0.0,v=0,w=0,x=0.0,y=0,z=0,A=0,B=0,C=0;A=l;l=l+32|0;y=A+16|0;z=A;r=+h[i>>3];x=+h[i+8>>3];q=(j|0)==0?122106:j;DD(f,q);BD(f,q);t=+h[g+48>>3];o=+h[g+56>>3];u=+h[g+64>>3];p=+h[g+72>>3];s=t+r;r=u+r;x=o+x;q=g+100|0;i=a[q>>0]|0;if((i&1)!=0?(n=c[g+96>>2]|0,((e[g+80>>1]|0)+(e[g+84>>1]|0)|0)<(c[n+104>>2]|0)):0){i=b[g+86>>1]|0;do if(i<<16>>16)if(((e[g+82>>1]|0)+(i&65535)|0)==(c[n+100>>2]|0)){B=a[n+32>>0]|0;C=(B<<24>>24)/2|0;j=(C<<24>>24)+(d[n+33>>0]|0)|0;i=j;j=j&255;m=x-+(C<<24>>24);n=B;break}else{n=a[n+32>>0]|0;i=0;j=((n<<24>>24)/2|0)<<24>>24;m=x;break}else{C=a[n+32>>0]|0;j=((C<<24>>24)/2|0)<<24>>24;i=j+(d[n+33>>0]|0)|0;m=x;n=C}while(0);h[z+8>>3]=m-+(j|0);h[z>>3]=r+ +(((n<<24>>24)/2|0)<<24>>24);c[y>>2]=c[z>>2];c[y+4>>2]=c[z+4>>2];c[y+8>>2]=c[z+8>>2];c[y+12>>2]=c[z+12>>2];yF(f,y,0.0,p-o+ +(i&255|0)+ +(n<<24>>24));i=a[q>>0]|0}if(i&2?(v=b[g+86>>1]|0,w=c[g+96>>2]|0,((e[g+82>>1]|0)+(v&65535)|0)<(c[w+100>>2]|0)):0){i=b[g+84>>1]|0;do if(!(i<<16>>16)){i=a[w+32>>0]|0;C=(i<<24>>24)/2|0;n=(C<<24>>24)+(d[w+33>>0]|0)|0;j=n&255;n=n&255;m=+(C<<24>>24);h[z>>3]=s-m-+(n|0);if((c[w+104>>2]|0)==(e[g+80>>1]|0)){j=n<<1&255;break}if((k|0)!=0?(b[k+86>>1]|0)!=v<<16>>16:0)j=~~(+(j&255)-u+ +h[w+64>>3]-m)&255}else{if(((e[g+80>>1]|0)+(i&65535)|0)==(c[w+104>>2]|0)){i=a[w+32>>0]|0;C=(i<<24>>24)/2|0;j=(C&255)+(d[w+33>>0]|0)&255;h[z>>3]=s-+(C<<24>>24);break}i=a[w+32>>0]|0;m=+(((i<<24>>24)/2|0)<<24>>24);h[z>>3]=s-m;if((k|0)!=0?(b[k+86>>1]|0)!=v<<16>>16:0)j=~~(+h[w+64>>3]-u-m)&255;else j=0}while(0);h[z+8>>3]=x-+(((i<<24>>24)/2|0)<<24>>24);c[y>>2]=c[z>>2];c[y+4>>2]=c[z+4>>2];c[y+8>>2]=c[z+8>>2];c[y+12>>2]=c[z+12>>2];yF(f,y,u-t+ +(j&255)+ +(i<<24>>24),0.0)}l=A;return}function vF(e,f,g){e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0.0;p=l;l=l+160|0;o=p+112|0;n=p;j=p+144|0;m=c[f+24>>2]|0;BD(e,(m|0)==0?122106:m);m=f+42|0;i=b[m>>1]|0;if(!(i&384))FD(e,c[(c[e>>2]|0)+336>>2]|0);else{c[j+4>>2]=0;c[j>>2]=0;i=i&65535;if(!(i&256)){if(i&128|0){i=122112;k=4}}else{i=122119;k=4}if((k|0)==4)c[j>>2]=i;FD(e,j)}k=f+33|0;OD(e,+(d[k>>0]|0));a:do if(!(b[m>>1]&4)){i=b[f+36>>1]&15360;if(!(i<<16>>16)){i=a[k>>0]|0;if((i&255)>1){q=+(i&255)*.5;h[g>>3]=+h[g>>3]+q;n=g+8|0;h[n>>3]=+h[n>>3]+q;n=g+16|0;h[n>>3]=+h[n>>3]-q;n=g+24|0;h[n>>3]=+h[n>>3]-q};c[o>>2]=c[g>>2];c[o+4>>2]=c[g+4>>2];c[o+8>>2]=c[g+8>>2];c[o+12>>2]=c[g+12>>2];c[o+16>>2]=c[g+16>>2];c[o+20>>2]=c[g+20>>2];c[o+24>>2]=c[g+24>>2];c[o+28>>2]=c[g+28>>2];ID(e,o,0);break}j=n+16|0;m=d[k>>0]|0;c[o>>2]=c[g>>2];c[o+4>>2]=c[g+4>>2];c[o+8>>2]=c[g+8>>2];c[o+12>>2]=c[g+12>>2];c[o+16>>2]=c[g+16>>2];c[o+20>>2]=c[g+20>>2];c[o+24>>2]=c[g+24>>2];c[o+28>>2]=c[g+28>>2];sF(j,o,m)|0;do switch(((i&65535)+-1024|0)>>>10&4194303|0){case 7:{KD(e,j,2);break a}case 3:{KD(e,n+32|0,2);break a}case 1:{KD(e,n+48|0,2);break a}case 0:{g=n+64|0;c[n>>2]=c[g>>2];c[n+4>>2]=c[g+4>>2];c[n+8>>2]=c[g+8>>2];c[n+12>>2]=c[g+12>>2];KD(e,n,2);break a}case 11:{KD(e,j,3);break a}case 5:{KD(e,n+32|0,3);break a}case 2:{g=n+80|0;c[g>>2]=c[j>>2];c[g+4>>2]=c[j+4>>2];c[g+8>>2]=c[j+8>>2];c[g+12>>2]=c[j+12>>2];KD(e,n+48|0,3);break a}case 8:{g=n+64|0;c[n>>2]=c[g>>2];c[n+4>>2]=c[g+4>>2];c[n+8>>2]=c[g+8>>2];c[n+12>>2]=c[g+12>>2];KD(e,n,3);break a}case 13:{KD(e,j,4);break a}case 6:{g=n+80|0;c[g>>2]=c[j>>2];c[g+4>>2]=c[j+4>>2];c[g+8>>2]=c[j+8>>2];c[g+12>>2]=c[j+12>>2];KD(e,n+32|0,4);break a}case 10:{g=n+80|0;c[g>>2]=c[j>>2];c[g+4>>2]=c[j+4>>2];c[g+8>>2]=c[j+8>>2];c[g+12>>2]=c[j+12>>2];g=n+96|0;o=n+32|0;c[g>>2]=c[o>>2];c[g+4>>2]=c[o+4>>2];c[g+8>>2]=c[o+8>>2];c[g+12>>2]=c[o+12>>2];KD(e,n+48|0,4);break a}case 12:{g=n+64|0;c[n>>2]=c[g>>2];c[n+4>>2]=c[g+4>>2];c[n+8>>2]=c[g+8>>2];c[n+12>>2]=c[g+12>>2];KD(e,n,4);break a}case 9:{KD(e,j,2);KD(e,n+48|0,2);break a}case 4:{g=n+64|0;c[n>>2]=c[g>>2];c[n+4>>2]=c[g+4>>2];c[n+8>>2]=c[g+8>>2];c[n+12>>2]=c[g+12>>2];KD(e,n,2);KD(e,n+32|0,2);break a}default:break a}while(0)}else{m=d[k>>0]|0;c[o>>2]=c[g>>2];c[o+4>>2]=c[g+4>>2];c[o+8>>2]=c[g+8>>2];c[o+12>>2]=c[g+12>>2];c[o+16>>2]=c[g+16>>2];c[o+20>>2]=c[g+20>>2];c[o+24>>2]=c[g+24>>2];c[o+28>>2]=c[g+28>>2];yy(e,sF(n,o,m)|0,4,4,0)}while(0);l=p;return}function wF(d,e){d=d|0;e=e|0;var f=0,g=0,h=0;h=c[d+16>>2]|0;f=h+208|0;if((c[f>>2]|0)==0?(b[h+260>>1]&1)==0:0)d=0;else{xD(d);d=c[f>>2]|0}if((d|0)!=(c[e>>2]|0)){_I(d);c[f>>2]=c[e>>2]}d=h+228|0;f=c[d>>2]|0;g=e+4|0;if((f|0)!=(c[g>>2]|0)){_I(f);c[d>>2]=c[g>>2]}d=h+244|0;f=c[d>>2]|0;g=e+8|0;if((f|0)!=(c[g>>2]|0)){_I(f);c[d>>2]=c[g>>2]}d=h+212|0;f=c[d>>2]|0;g=e+12|0;if((f|0)!=(c[g>>2]|0)){_I(f);c[d>>2]=c[g>>2]}h=h+260|0;b[h>>1]=b[h>>1]&-2|a[e+16>>0]&1;return}function xF(a,b){a=a|0;b=b|0;var d=0.0,e=0;e=c[b>>2]|0;if(e|0)c[a+16>>2]=e;e=c[b+4>>2]|0;if(e|0)c[a+20>>2]=e;d=+h[b+16>>3];if(d>=0.0)h[a+32>>3]=d;return}function yF(a,b,d,e){a=a|0;b=b|0;d=+d;e=+e;var f=0,g=0,i=0;f=l;l=l+64|0;g=f+32|0;i=f;c[i>>2]=c[b>>2];c[i+4>>2]=c[b+4>>2];c[i+8>>2]=c[b+8>>2];c[i+12>>2]=c[b+12>>2];h[i+16>>3]=+h[b>>3]+d;h[i+24>>3]=+h[b+8>>3]+e;c[g>>2]=c[i>>2];c[g+4>>2]=c[i+4>>2];c[g+8>>2]=c[i+8>>2];c[g+12>>2]=c[i+12>>2];c[g+16>>2]=c[i+16>>2];c[g+20>>2]=c[i+20>>2];c[g+24>>2]=c[i+24>>2];c[g+28>>2]=c[i+28>>2];ID(a,g,1);l=f;return}function zF(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0.0,k=0.0,m=0.0,n=0.0;i=l;l=l+64|0;g=i;k=+h[e>>3];n=k+ +h[d>>3];m=+h[e+8>>3];j=m+ +h[d+8>>3];k=k+ +h[d+16>>3];m=m+ +h[d+24>>3];h[g>>3]=k;h[g+8>>3]=m;h[g+32>>3]=n;h[g+40>>3]=j;h[g+16>>3]=n;h[g+24>>3]=m;h[g+48>>3]=k;h[g+56>>3]=j;f=c[d+36>>2]|0;if(!f)f=c[e+56>>2]|0;e=c[d+32>>2]|0;if(!e)ma(122126,122134,623,122146);if(!(a[e>>0]|0))ma(122160,122134,624,122146);else{MD(b,e,g,4,1,f);l=i;return}}function AF(d,e,f,g,i,j,k,m){d=d|0;e=e|0;f=f|0;g=g|0;i=+i;j=j|0;k=k|0;m=m|0;var n=0.0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0.0,J=0,K=0,L=0,M=0.0,N=0.0,O=0,P=0,Q=0,R=0;R=l;l=l+128|0;K=R+104|0;O=R+48|0;P=R+16|0;L=R;J=L;c[J>>2]=0;c[J+4>>2]=0;M=+h[g>>3];N=M-i;I=M+i;J=L+8|0;h[J>>3]=(+h[k+24>>3]-+h[k+8>>3])*.5+ +h[g+8>>3];yD(d,1);D=P+16|0;E=P+4|0;F=P+24|0;G=O+4|0;H=O+16|0;s=(m|0)==0;t=O+24|0;u=O+8|0;v=O+32|0;w=O+40|0;x=O+48|0;y=j+16|0;z=j+4|0;A=P+8|0;q=0;while(1){if((q|0)>=(e|0))break;switch(a[f+(q*24|0)+6>>0]|0){case 108:{i=N;break}case 114:{i=I-+h[f+(q*24|0)+8>>3];break}default:i=M-+h[f+(q*24|0)+8>>3]*.5}h[g>>3]=i;B=f+(q*24|0)+16|0;h[J>>3]=+h[J>>3]-+h[B>>3];C=f+(q*24|0)+4|0;p=c[f+(q*24|0)>>2]|0;r=0;while(1){if((r|0)>=(b[C>>1]|0))break;o=p+4|0;m=c[o>>2]|0;if(m){h[D>>3]=+h[(+h[m+16>>3]>0.0?m:j)+16>>3];c[P>>2]=c[((c[m>>2]|0)==0?j:m)>>2];k=c[((c[m+4>>2]|0)==0?j:m)+4>>2]|0;c[E>>2]=k;m=c[m+24>>2]&127;if(!m)Q=12;else m=c[F>>2]&-128|m}else{h[D>>3]=+h[y>>3];c[P>>2]=c[j>>2];k=c[z>>2]|0;c[E>>2]=k;Q=12}if((Q|0)==12){Q=0;m=c[F>>2]&-128}c[F>>2]=m;BD(d,k);c[O>>2]=c[p>>2];c[G>>2]=P;h[H>>3]=+h[p+16>>3];if(s)n=1.0;else n=+h[p+24>>3];h[t>>3]=n;c[A>>2]=c[(c[o>>2]|0)+8>>2];c[u>>2]=c[p+8>>2];o=p+32|0;h[v>>3]=+h[o>>3];h[w>>3]=+h[B>>3];a[x>>0]=108;h[L>>3]=i;c[K>>2]=c[L>>2];c[K+4>>2]=c[L+4>>2];c[K+8>>2]=c[L+8>>2];c[K+12>>2]=c[L+12>>2];AD(d,K,O);n=+h[o>>3]+i;h[g>>3]=n;p=p+56|0;r=r+1|0;i=n}q=q+1|0}zD(d);l=R;return}function BF(a){a=a|0;_I(c[a>>2]|0);_I(c[a+4>>2]|0);_I(c[a+8>>2]|0);_I(c[a+16>>2]|0);_I(c[a+12>>2]|0);_I(c[a+20>>2]|0);_I(c[a+24>>2]|0);return}function CF(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;if(a|0){j=a+4|0;e=0;g=c[a>>2]|0;while(1){if((e|0)>=(b[j>>1]|0))break;k=g+4|0;d=0;f=c[g>>2]|0;while(1){if((d|0)>=(b[k>>1]|0))break;_I(c[f>>2]|0);h=c[f+8>>2]|0;if(h|0?(i=c[f+12>>2]|0,i|0):0)gb[i&127](h);d=d+1|0;f=f+56|0}e=e+1|0;g=g+24|0}d=c[a>>2]|0;if(d|0)_I(d);_I(a)}return}function DF(a){a=a|0;_I(c[a+32>>2]|0);_I(a);return}function EF(b,d){b=b|0;d=d|0;switch(a[b+4>>0]|0){case 1:{FF(c[b>>2]|0);break}case 3:{DF(c[b>>2]|0);break}default:CF(c[b>>2]|0)}if(d|0)_I(b);return}function FF(a){a=a|0;var b=0,d=0,e=0;e=a+84|0;if((c[a+100>>2]|0)==-1)Kl(c[e>>2]|0)|0;else{b=c[e>>2]|0;_I(c[a+92>>2]|0);_I(c[a+96>>2]|0);while(1){d=c[b>>2]|0;if(!d)break;GF(d);b=b+4|0}_I(c[e>>2]|0)}BF(a);_I(a);return}function GF(a){a=a|0;EF(a+88|0,0);BF(a);_I(a);return}function HF(b,e,f){b=b|0;e=e|0;f=f|0;var g=0;b=c[(c[(c[b+16>>2]|0)+104>>2]|0)+72>>2]|0;if((a[b+4>>0]|0)!=2?(g=IF(c[b>>2]|0,e)|0,(g|0)!=0):0){c[f>>2]=d[g+35>>0];b=g+48|0}else b=0;return b|0}function IF(a,b){a=a|0;b=b|0;var d=0,e=0;d=c[a+4>>2]|0;if(!((d|0)!=0?(iK(d,b)|0)==0:0))e=3;a:do if((e|0)==3){d=c[a+84>>2]|0;while(1){a=c[d>>2]|0;if(!a){a=0;break a}a=JF(a,b)|0;if(!a)d=d+4|0;else break}}while(0);return a|0}function JF(b,d){b=b|0;d=d|0;var e=0;e=c[b+4>>2]|0;if(!((e|0)!=0?(iK(e,d)|0)==0:0))if((a[b+92>>0]|0)==1)b=IF(c[b+88>>2]|0,d)|0;else b=0;return b|0}function KF(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;return 0}function LF(d){d=d|0;var f=0.0,g=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0;p=d+92|0;c[p>>2]=vw((c[d+100>>2]<<2)+4|0)|0;n=vw((c[d+104>>2]<<2)+4|0)|0;c[d+96>>2]=n;o=d+32|0;m=c[d+84>>2]|0;while(1){l=c[m>>2]|0;if(!l)break;d=b[l+82>>1]|0;f=+h[l+72>>3];if(d<<16>>16==1)i=~~f;else{i=~~((f-+(O((a[o>>0]|0)+-1|0,(d&65535)+-1|0)|0))/+(d&65535));i=(i|0)>1?i:1}j=b[l+80>>1]|0;f=+h[l+64>>3];if(j<<16>>16==1)k=~~f;else{k=~~((f-+(O((a[o>>0]|0)+-1|0,(j&65535)+-1|0)|0))/+(j&65535));k=(k|0)>1?k:1}q=e[l+86>>1]|0;g=(d&65535)+q|0;d=q;while(1){if((d|0)>=(g|0))break;q=(c[p>>2]|0)+(d<<2)|0;r=c[q>>2]|0;c[q>>2]=(r|0)>(i|0)?r:i;d=d+1|0}d=e[l+84>>1]|0;g=(j&65535)+d|0;while(1){if((d|0)>=(g|0))break;r=n+(d<<2)|0;q=c[r>>2]|0;c[r>>2]=(q|0)>(k|0)?q:k;d=d+1|0}m=m+4|0}return}function MF(a){a=a|0;var b=0,d=0;d=l;l=l+16|0;b=d;if(a>>>0<21)a=c[54824+(a<<2)>>2]|0;else{c[b>>2]=a;pL(174081,122187,b)|0;a=174081}l=d;return a|0}function NF(a,b,d){a=a|0;b=b|0;d=d|0;var f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;k=a+104|0;l=a+100|0;j=d+16|0;f=0;g=0;while(1){if((f|0)>(c[k>>2]|0))break;i=no(d,MF(f)|0,1)|0;No(i,122241,304,1)|0;m=i+16|0;c[(c[m>>2]|0)+176>>2]=0;o=vw((c[l>>2]<<2)+4|0)|0;n=c[m>>2]|0;c[n+172>>2]=o;c[n+184>>2]=0;n=vw((c[l>>2]<<2)+4|0)|0;c[(c[m>>2]|0)+180>>2]=n;if(!g)c[(c[j>>2]|0)+192>>2]=i;else c[(c[g+16>>2]|0)+164>>2]=i;f=f+1|0;g=i}j=b+16|0;f=0;g=0;while(1){if((f|0)>(c[l>>2]|0))break;i=no(b,MF(f)|0,1)|0;No(i,122241,304,1)|0;o=i+16|0;c[(c[o>>2]|0)+176>>2]=0;m=vw((c[k>>2]<<2)+4|0)|0;n=c[o>>2]|0;c[n+172>>2]=m;c[n+184>>2]=0;n=vw((c[k>>2]<<2)+4|0)|0;c[(c[o>>2]|0)+180>>2]=n;if(!g)c[(c[j>>2]|0)+192>>2]=i;else c[(c[g+16>>2]|0)+164>>2]=i;f=f+1|0;g=i}f=c[a+84>>2]|0;while(1){g=c[f>>2]|0;if(!g)break;o=g+84|0;n=no(d,MF(e[o>>1]|0)|0,0)|0;o=no(d,MF((e[g+80>>1]|0)+(e[o>>1]|0)|0)|0,0)|0;OF(d,n,o,~~+h[g+64>>3]);o=g+86|0;n=no(b,MF(e[o>>1]|0)|0,0)|0;o=no(b,MF((e[g+82>>1]|0)+(e[o>>1]|0)|0)|0,0)|0;OF(b,n,o,~~+h[g+72>>3]);f=f+4|0}PF(d);PF(b);return}function OF(a,d,f,g){a=a|0;d=d|0;f=f|0;g=g|0;var h=0,i=0;h=an(a,d,f,0,0)|0;if(!h){i=an(a,d,f,0,1)|0;No(i,122254,176,1)|0;b[(c[i+16>>2]|0)+170>>1]=g;d=d+16|0;a=c[d>>2]|0;h=c[a+180>>2]|0;if(!h)a=ww((c[a+184>>2]<<2)+8|0)|0;else a=yw(h,(c[a+184>>2]<<2)+8|0)|0;g=c[d>>2]|0;c[g+180>>2]=a;g=g+184|0;h=c[g>>2]|0;c[g>>2]=h+1;c[a+(h<<2)>>2]=i;d=c[d>>2]|0;c[(c[d+180>>2]|0)+(c[d+184>>2]<<2)>>2]=0;d=f+16|0;a=c[d>>2]|0;h=c[a+172>>2]|0;if(!h)a=ww((c[a+176>>2]<<2)+8|0)|0;else a=yw(h,(c[a+176>>2]<<2)+8|0)|0;g=c[d>>2]|0;c[g+172>>2]=a;g=g+176|0;f=c[g>>2]|0;c[g>>2]=f+1;c[a+(f<<2)>>2]=i;i=c[d>>2]|0;c[(c[i+172>>2]|0)+(c[i+176>>2]<<2)>>2]=0}else{i=(c[h+16>>2]|0)+170|0;f=e[i>>1]|0;b[i>>1]=(f|0)>(g|0)?f:g}return}function PF(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0;d=c[(c[a+16>>2]|0)+192>>2]|0;while(1){f=d+16|0;h=c[(c[f>>2]|0)+164>>2]|0;if(!h)break;if(an(a,d,h,0,0)|0){d=h;continue}g=an(a,d,h,0,1)|0;No(g,122254,176,1)|0;b[(c[g+16>>2]|0)+170>>1]=0;d=c[f>>2]|0;e=c[d+180>>2]|0;if(!e)d=ww((c[d+184>>2]<<2)+8|0)|0;else d=yw(e,(c[d+184>>2]<<2)+8|0)|0;i=c[f>>2]|0;c[i+180>>2]=d;i=i+184|0;e=c[i>>2]|0;c[i>>2]=e+1;c[d+(e<<2)>>2]=g;f=c[f>>2]|0;c[(c[f+180>>2]|0)+(c[f+184>>2]<<2)>>2]=0;f=h+16|0;d=c[f>>2]|0;e=c[d+172>>2]|0;if(!e)d=ww((c[d+176>>2]<<2)+8|0)|0;else d=yw(e,(c[d+176>>2]<<2)+8|0)|0;e=c[f>>2]|0;c[e+172>>2]=d;e=e+176|0;i=c[e>>2]|0;c[e>>2]=i+1;c[d+(i<<2)>>2]=g;d=c[f>>2]|0;c[(c[d+172>>2]|0)+(c[d+176>>2]<<2)>>2]=0;d=h}return}function QF(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;g=a+92|0;e=0;f=0;b=c[(c[(c[b+16>>2]|0)+192>>2]|0)+16>>2]|0;while(1){b=c[b+164>>2]|0;if(!b)break;b=c[b+16>>2]|0;h=b+232|0;c[(c[g>>2]|0)+(f<<2)>>2]=(c[h>>2]|0)-e;e=c[h>>2]|0;f=f+1|0}a=a+96|0;e=0;f=0;b=c[(c[(c[d+16>>2]|0)+192>>2]|0)+16>>2]|0;while(1){b=c[b+164>>2]|0;if(!b)break;b=c[b+16>>2]|0;h=b+232|0;c[(c[a>>2]|0)+(f<<2)>>2]=(c[h>>2]|0)-e;e=c[h>>2]|0;f=f+1|0}return}function RF(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;h=l;l=l+16|0;g=h+4|0;d=h;c[d>>2]=c[4411];e=c[b+100>>2]|0;if((e|0)!=1?(f=b+104|0,(c[f>>2]|0)!=1):0){c[b+92>>2]=vw((e<<2)+4|0)|0;c[b+96>>2]=vw((c[f>>2]<<2)+4|0)|0;a[g>>0]=a[d>>0]|0;a[g+1>>0]=a[d+1>>0]|0;a[g+2>>0]=a[d+2>>0]|0;a[g+3>>0]=a[d+3>>0]|0;f=gn(122267,g,0)|0;a[g>>0]=a[d>>0]|0;a[g+1>>0]=a[d+1>>0]|0;a[g+2>>0]=a[d+2>>0]|0;a[g+3>>0]=a[d+3>>0]|0;g=gn(122272,g,0)|0;No(f,122277,280,1)|0;No(g,122277,280,1)|0;NF(b,f,g);gx(f,2,2147483647)|0;gx(g,2,2147483647)|0;QF(b,f,g);SF(f,g)}else LF(b);l=h;return}function SF(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=(c[b+16>>2]|0)+192|0;while(1){d=c[d>>2]|0;if(!d)break;f=d+16|0;d=c[f>>2]|0;e=c[d+172>>2]|0;if(e){_I(e);d=c[f>>2]|0}e=c[d+180>>2]|0;if(e){_I(e);d=c[f>>2]|0}d=d+164|0}ln(a)|0;ln(b)|0;return}function TF(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0.0,r=0.0;p=l;l=l+272|0;n=p+104|0;o=p+136|0;j=p+72|0;k=p;g=p+144|0;c[k+48>>2]=b;switch(Co(b)|0){case 0:{e=c[b+60>>2]|0;break}case 1:{e=ro(b)|0;break}case 2:{e=ro(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0;break}default:{}}i=k+52|0;c[i>>2]=e;m=c[e+60>>2]|0;h[k+32>>3]=+h[d+16>>3];c[k+16>>2]=c[d+4>>2];c[k+20>>2]=c[d+8>>2];c[k+40>>2]=0;f=bI(c[d>>2]|0,o,k)|0;if(!f){cm(n,128,g);a[d+82>>0]=0;e=GL(UF(b,n)|0)|0;c[d>>2]=e;if((c[d+12>>2]|0)==1)e=yB(e)|0;else e=vB(e,c[i>>2]|0)|0;_I(c[d>>2]|0);c[d>>2]=e;jw(c[(c[m+16>>2]|0)+144>>2]|0,d);gm(n);e=c[o>>2]|0}else{e=f+4|0;if((a[e>>0]|0)==1){if((c[(c[f>>2]|0)+24>>2]|0)==0?VF(b)|0:0){i=GL(VF(b)|0)|0;c[(c[f>>2]|0)+24>>2]=i}m=WF(m,c[f>>2]|0,0,k)|0;c[o>>2]=c[o>>2]|m;m=c[f>>2]|0;r=+h[m+64>>3]*.5;q=+h[m+72>>3]*.5;XF(j,-r,-q,r,q);m=c[f>>2]|0;c[n>>2]=c[j>>2];c[n+4>>2]=c[j+4>>2];c[n+8>>2]=c[j+8>>2];c[n+12>>2]=c[j+12>>2];c[n+16>>2]=c[j+16>>2];c[n+20>>2]=c[j+20>>2];c[n+24>>2]=c[j+24>>2];c[n+28>>2]=c[j+28>>2];YF(m,n,15)}else{ZF(c[(c[m+16>>2]|0)+144>>2]|0,c[f>>2]|0,k);n=c[f>>2]|0;q=+h[n+24>>3]*.5;r=+h[n+32>>3]*.5;XF(j,-q,-r,q,r);n=(c[f>>2]|0)+8|0;c[n>>2]=c[j>>2];c[n+4>>2]=c[j+4>>2];c[n+8>>2]=c[j+8>>2];c[n+12>>2]=c[j+12>>2];c[n+16>>2]=c[j+16>>2];c[n+20>>2]=c[j+20>>2];c[n+24>>2]=c[j+24>>2];c[n+28>>2]=c[j+28>>2]}h[d+24>>3]=+h[j+16>>3]-+h[j>>3];h[d+32>>3]=+h[j+24>>3]-+h[j+8>>3];c[d+72>>2]=f;if((a[e>>0]|0)==1){_I(c[d>>2]|0);c[d>>2]=GL(122290)|0}e=c[o>>2]|0}l=p;return e|0}function UF(b,d){b=b|0;d=d|0;var e=0;a:do switch(Co(b)|0){case 0:{fm(d,Dn(b)|0)|0;break}case 1:{fm(d,Dn(b)|0)|0;break}case 2:{fm(d,Dn(c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)|0)|0;e=b+-48|0;fm(d,Dn(c[((c[b>>2]&3|0)==2?b:e)+40>>2]|0)|0)|0;if(!(qn(ro(c[((c[b>>2]&3|0)==2?b:e)+40>>2]|0)|0)|0)){fm(d,122549)|0;break a}else{fm(d,122546)|0;break a}}default:{}}while(0);e=d+4|0;b=c[e>>2]|0;if(b>>>0>=(c[d+8>>2]|0)>>>0){dm(d,1)|0;b=c[e>>2]|0}a[b>>0]=0;d=c[d>>2]|0;c[e>>2]=d;return d|0}function VF(b){b=b|0;var c=0,d=0;c=Im(b,122531)|0;if(!((c|0)!=0?(a[c>>0]|0)!=0:0))d=3;do if((d|0)==3){c=Im(b,122540)|0;if(c|0?a[c>>0]|0:0)break;c=0}while(0);return c|0}function WF(f,g,i,j){f=f|0;g=g|0;i=i|0;j=j|0;var k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0;w=l;l=l+16|0;u=w+8|0;t=w;v=g+108|0;k=c[v>>2]|0;if(k|0)pF(j,k,167328);c[g+80>>2]=i;k=bG(f,g,j)|0;r=g+36|0;f=b[r>>1]|0;if(!(f&128))a[g+32>>0]=2;i=g+33|0;if(!(f&32))a[i>>0]=1;RF(g);n=c[g+104>>2]|0;p=a[g+32>>0]|0;f=O(n+1|0,p)|0;o=d[i>>0]<<1;q=c[g+100>>2]|0;p=O(q+1|0,p)|0;m=g+96|0;f=o+f|0;i=0;while(1){if((i|0)>=(n|0))break;f=(c[(c[m>>2]|0)+(i<<2)>>2]|0)+f|0;i=i+1|0}n=g+92|0;i=p+o|0;m=0;while(1){if((m|0)>=(q|0))break;i=(c[(c[n>>2]|0)+(m<<2)>>2]|0)+i|0;m=m+1|0}n=g+38|0;do if(b[r>>1]&1){r=b[n>>1]|0;m=r&65535;if(r<<16>>16?(s=b[g+40>>1]|0,s<<16>>16):0){if(!((f|0)>(m|0)|(i|0)>(s&65535|0))){i=0;f=0;break}_l(0,122331,t)|0;k=1;i=0;f=0;break}_l(0,122365,u)|0;k=1}while(0);u=e[n>>1]|0;h[g+64>>3]=+(((f|0)>(u|0)?f:u)|0);u=e[g+40>>1]|0;h[g+72>>3]=+(((i|0)>(u|0)?i:u)|0);if(c[v>>2]|0)xF(j,167328);l=w;return k|0}function XF(a,b,c,d,e){a=a|0;b=+b;c=+c;d=+d;e=+e;h[a>>3]=b;h[a+8>>3]=c;h[a+16>>3]=d;h[a+24>>3]=e;return}function YF(e,f,g){e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0.0,n=0.0,o=0,p=0,q=0.0,r=0.0,s=0,t=0,u=0,v=0,w=0,x=0,y=0.0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0.0,K=0;I=l;l=l+64|0;G=I+32|0;H=I;E=c[e+84>>2]|0;k=c[e+80>>2]|0;if((k|0?(i=c[k+24>>2]|0,i|0):0)?(j=e+24|0,(c[j>>2]|0)==0):0)c[j>>2]=GL(i)|0;F=e+48|0;i=f+16|0;n=+h[i>>3];m=+h[f>>3];k=~~(n-m-+(~~+h[e+64>>3]|0));if((k|0)<=-1)ma(122298,122134,1761,122308);o=f+24|0;y=+h[o>>3];p=f+8|0;q=+h[p>>3];r=+(~~+h[e+72>>3]|0);s=~~(y-q-r);if((s|0)<=-1)ma(122321,122134,1764,122308);t=b[e+36>>1]|0;j=t&65535;a:do if(j&1){b:do if((k|0)>0)switch(j&6){case 4:{h[i>>3]=m+r;break b}case 2:{J=+(k|0);h[i>>3]=n+J;m=m+J;h[f>>3]=m;break b}default:{J=+(k>>>1|0);m=m+J;h[f>>3]=m;h[i>>3]=n-J;break b}}while(0);if((s|0)>0)switch(t&24){case 16:{y=q+r;h[o>>3]=y;s=0;i=0;break a}case 8:{J=+(s|0);y=y+J;h[o>>3]=y;h[p>>3]=q+J;s=0;i=0;break a}default:{J=+(s>>>1|0);h[p>>3]=q+J;y=y-J;h[o>>3]=y;s=0;i=0;break a}}else{s=0;i=0}}else i=k;while(0);n=+(d[e+33>>0]|0);C=e+32|0;u=a[C>>0]|0;q=+(u<<24>>24);D=e+104|0;k=c[D>>2]|0;t=(i|0)/(k|0)|0;o=i-(O(t,k)|0)|0;o=~~(((o|0)>-1?.5:-.5)+ +(o|0));B=e+96|0;p=u<<24>>24;i=~~(m+n+q);j=0;while(1){if((j|0)>(k|0))break;A=(c[B>>2]|0)+(j<<2)|0;k=c[A>>2]|0;c[A>>2]=i;i=i+t+((j|0)<(o|0)&1)+k+p|0;j=j+1|0;k=c[D>>2]|0}A=e+100|0;k=c[A>>2]|0;t=(s|0)/(k|0)|0;p=s-(O(t,k)|0)|0;p=~~(((p|0)>-1?.5:-.5)+ +(p|0));z=e+92|0;o=u<<24>>24;i=~~(y-n-q);j=0;while(1){if((j|0)>(k|0))break;x=(c[z>>2]|0)+(j<<2)|0;k=c[x>>2]|0;c[x>>2]=i;i=i-t+(((j|0)<(p|0))<<31>>31)-k-o|0;j=j+1|0;k=c[A>>2]|0}u=(g|0)==0;v=H+16|0;w=H+24|0;x=H+8|0;i=E;while(1){o=c[i>>2]|0;if(!o)break;k=b[o+84>>1]|0;if(u){j=0;p=b[o+80>>1]|0;s=b[o+86>>1]|0;t=b[o+82>>1]|0}else{j=k<<16>>16==0?8:0;s=b[o+86>>1]|0;j=s<<16>>16==0?j|4:j;p=b[o+80>>1]|0;t=b[o+82>>1]|0;j=(((p&65535)+(k&65535)|0)==(c[D>>2]|0)?j|2:j)|((t&65535)+(s&65535)|0)==(c[A>>2]|0)}K=c[B>>2]|0;k=k&65535;h[H>>3]=+(c[K+(k<<2)>>2]|0);E=a[C>>0]|0;h[v>>3]=+((c[K+((p&65535)+k<<2)>>2]|0)-E|0);p=c[z>>2]|0;h[w>>3]=+(c[p+((s&65535)<<2)>>2]|0);h[x>>3]=+((c[p+((t&65535)+(s&65535)<<2)>>2]|0)+E|0);c[G>>2]=c[H>>2];c[G+4>>2]=c[H+4>>2];c[G+8>>2]=c[H+8>>2];c[G+12>>2]=c[H+12>>2];c[G+16>>2]=c[H+16>>2];c[G+20>>2]=c[H+20>>2];c[G+24>>2]=c[H+24>>2];c[G+28>>2]=c[H+28>>2];_F(o,G,j&g);i=i+4|0}a[e+35>>0]=g;c[F>>2]=c[f>>2];c[F+4>>2]=c[f+4>>2];c[F+8>>2]=c[f+8>>2];c[F+12>>2]=c[f+12>>2];c[F+16>>2]=c[f+16>>2];c[F+20>>2]=c[f+20>>2];c[F+24>>2]=c[f+24>>2];c[F+28>>2]=c[f+28>>2];l=I;return}function ZF(d,e,f){d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0.0,k=0.0,m=0,n=0,o=0.0,p=0.0,q=0.0,r=0,s=0.0,t=0.0,u=0.0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0.0,Q=0.0,R=0.0;O=l;l=l+112|0;H=O+48|0;I=O+16|0;J=O;c[I>>2]=0;c[I+4>>2]=0;c[I+8>>2]=0;c[I+12>>2]=0;c[I+16>>2]=0;c[I+20>>2]=0;c[I+24>>2]=0;c[I+28>>2]=0;K=e+4|0;L=f+16|0;M=f+32|0;N=I+16|0;r=b[K>>1]|0;n=r<<16>>16;g=0;j=-1.0;m=0;while(1){if((m|0)>=(n|0)){g=1;break}i=c[e>>2]|0;if((b[i+(m*24|0)+4>>1]|0)>1){g=0;break}i=c[(c[i+(m*24|0)>>2]|0)+4>>2]|0;if(!i){k=+h[M>>3];h[N>>3]=k;i=L}else{if(c[i+24>>2]&127|0){g=0;break}k=+h[(+h[i+16>>3]>0.0?i:L)+16>>3];h[N>>3]=k;i=(c[i>>2]|0)==0?L:i}i=c[i>>2]|0;c[I>>2]=i;if(!(j==-1.0)){if(k!=j){g=0;break}}else j=k;if(g){if(xJ(i,g)|0){g=0;break}}else g=i;m=m+1|0}a[e+6>>0]=g;E=f+48|0;F=f+20|0;G=I+4|0;w=f+40|0;x=I+24|0;y=d+144|0;z=H+4|0;v=J+8|0;A=H+16|0;B=H+24|0;C=H+8|0;D=H+12|0;f=(g|0)==0;j=0.0;s=0.0;t=0.0;u=0.0;n=0;g=r;while(1){if((n|0)>=(g<<16>>16|0))break;k=0.0;q=0.0;m=0;p=0.0;j=0.0;i=c[e>>2]|0;while(1){if((m|0)>=(b[i+(n*24|0)+4>>1]|0))break;c[H>>2]=qw(c[(c[i+(n*24|0)>>2]|0)+(m*56|0)>>2]|0,c[E>>2]|0)|0;i=(c[e>>2]|0)+(n*24|0)|0;g=c[(c[i>>2]|0)+(m*56|0)+4>>2]|0;if(!g){h[N>>3]=+h[M>>3];c[I>>2]=c[L>>2];c[G>>2]=c[F>>2];c[x>>2]=c[x>>2]&-128|c[w>>2]&127}else{g=c[g+24>>2]&127;if(!g)g=c[w>>2]&127;c[x>>2]=c[x>>2]&-128|g;r=c[(c[i>>2]|0)+(m*56|0)+4>>2]|0;h[N>>3]=+h[(+h[r+16>>3]>0.0?r:L)+16>>3];c[I>>2]=c[((c[r>>2]|0)==0?L:r)>>2];c[G>>2]=c[((c[r+4>>2]|0)==0?L:r)+4>>2]}i=c[y>>2]|0;c[z>>2]=bb[c[i>>2]&31](i,I,1)|0;pA(J,d,H);Q=+h[J>>3];o=+h[v>>3];_I(c[(c[(c[e>>2]|0)+(n*24|0)>>2]|0)+(m*56|0)>>2]|0);i=c[e>>2]|0;r=c[i+(n*24|0)>>2]|0;c[r+(m*56|0)>>2]=c[H>>2];h[r+(m*56|0)+32>>3]=Q;h[r+(m*56|0)+16>>3]=+h[A>>3];h[r+(m*56|0)+24>>3]=+h[B>>3];c[r+(m*56|0)+4>>2]=c[z>>2];c[r+(m*56|0)+8>>2]=c[C>>2];c[r+(m*56|0)+12>>2]=c[D>>2];P=+h[N>>3];R=+h[B>>3];k=R>k?R:k;q=Q+q;m=m+1|0;p=P>p?P:p;j=o>j?o:j}h[i+(n*24|0)+8>>3]=q;g=(n|0)==0;do if(f)if(g){o=p;k=p-k;g=i;break}else{o=p;k=t-u+p-k;g=i+(n*24|0)|0;break}else{o=j;k=g?p:j;g=i+(n*24|0)|0}while(0);h[g+16>>3]=k;s=q>s?q:s;t=o+t;u=+h[i+(n*24|0)+16>>3]+u;n=n+1|0;g=b[K>>1]|0}h[e+24>>3]=s;h[e+32>>3]=g<<16>>16==1?j:t;l=O;return}function _F(e,f,g){e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0.0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0.0,A=0.0;y=l;l=l+64|0;v=y+32|0;x=y;j=e+24|0;if((c[j>>2]|0)==0?(i=c[(c[e+96>>2]|0)+24>>2]|0,i|0):0)c[j>>2]=GL(i)|0;t=e+36|0;w=b[t>>1]|0;i=w&65535;a:do if(i&1){k=+h[e+64>>3];q=+h[e+72>>3];j=f+16|0;m=+h[j>>3];o=+h[f>>3];n=m-o-k;b:do if(n>0.0)switch(i&6){case 4:{m=o+k;h[j>>3]=m;k=o;break b}case 2:{m=n+m;h[j>>3]=m;k=o+n;h[f>>3]=k;break b}default:{p=n*.5;k=p+o;h[f>>3]=k;m=m-p;h[j>>3]=m;break b}}else k=o;while(0);i=f+24|0;p=+h[i>>3];j=f+8|0;n=+h[j>>3];o=p-n-q;if(o>0.0)switch(w&24){case 16:{o=n+q;h[i>>3]=o;break a}case 8:{q=o+p;h[i>>3]=q;n=n+o;h[j>>3]=n;o=q;break a}default:{o=o*.5;n=o+n;h[j>>3]=n;o=p-o;h[i>>3]=o;break a}}else o=p}else{k=+h[f>>3];n=+h[f+8>>3];m=+h[f+16>>3];o=+h[f+24>>3]}while(0);s=e+48|0;c[s>>2]=c[f>>2];c[s+4>>2]=c[f+4>>2];c[s+8>>2]=c[f+8>>2];c[s+12>>2]=c[f+12>>2];c[s+16>>2]=c[f+16>>2];c[s+20>>2]=c[f+20>>2];c[s+24>>2]=c[f+24>>2];c[s+28>>2]=c[f+28>>2];a[e+35>>0]=g;A=+(d[e+33>>0]|0);z=+(d[e+34>>0]|0);p=k+A+z;h[x>>3]=p;q=n+A+z;s=x+8|0;h[s>>3]=q;n=m-A-z;f=x+16|0;h[f>>3]=n;o=o-A-z;r=x+24|0;h[r>>3]=o;j=e+88|0;switch(a[e+92>>0]|0){case 1:{w=c[j>>2]|0;c[v>>2]=c[x>>2];c[v+4>>2]=c[x+4>>2];c[v+8>>2]=c[x+8>>2];c[v+12>>2]=c[x+12>>2];c[v+16>>2]=c[x+16>>2];c[v+20>>2]=c[x+20>>2];c[v+24>>2]=c[x+24>>2];c[v+28>>2]=c[x+28>>2];YF(w,v,g);break}case 3:{i=c[j>>2]|0;k=+h[i+24>>3];m=n-p-+h[i+16>>3];c:do if(m>0.0)switch(w&6){case 4:{h[f>>3]=n-m;break c}case 2:{h[x>>3]=m+p;break c}default:break c}while(0);k=o-q-k;d:do if(k>0.0)switch(w&24){case 16:{h[r>>3]=o-k;break d}case 8:{h[s>>3]=k+q;break d}default:break d}while(0);c[v>>2]=c[x>>2];c[v+4>>2]=c[x+4>>2];c[v+8>>2]=c[x+8>>2];c[v+12>>2]=c[x+12>>2];c[v+16>>2]=c[x+16>>2];c[v+20>>2]=c[x+20>>2];c[v+24>>2]=c[x+24>>2];c[v+28>>2]=c[x+28>>2];$F(i,v);break}default:{i=c[j>>2]|0;k=+h[i+32>>3];m=n-p-+h[i+24>>3];e:do if(m>0.0?(u=w&6,u<<16>>16!=6):0)switch(u&7){case 4:{h[f>>3]=n-m;break e}case 2:{h[x>>3]=m+p;break e}default:{A=m*.5;h[x>>3]=A+p;h[f>>3]=n-A;break e}}while(0);k=o-q-k;f:do if(k>0.0)switch(w&24){case 16:{h[r>>3]=o-k;break f}case 8:{h[s>>3]=k+q;break f}default:{A=k*.5;h[s>>3]=A+q;h[r>>3]=o-A;break f}}while(0);w=i+8|0;c[w>>2]=c[x>>2];c[w+4>>2]=c[x+4>>2];c[w+8>>2]=c[x+8>>2];c[w+12>>2]=c[x+12>>2];c[w+16>>2]=c[x+16>>2];c[w+20>>2]=c[x+20>>2];c[w+24>>2]=c[x+24>>2];c[w+28>>2]=c[x+28>>2];x=b[t>>1]&768;aG(c[j>>2]|0,(x&1023)==512?108:(x&1023)==256?114:110)}}l=y;return}function $F(a,b){a=a|0;b=b|0;c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];c[a+16>>2]=c[b+16>>2];c[a+20>>2]=c[b+20>>2];c[a+24>>2]=c[b+24>>2];c[a+28>>2]=c[b+28>>2];return}function aG(d,e){d=d|0;e=e|0;var f=0,g=0,h=0;g=b[d+4>>1]|0;f=0;while(1){if((f|0)>=(g|0))break;h=(c[d>>2]|0)+(f*24|0)+6|0;if(!(a[h>>0]|0))a[h>>0]=e;f=f+1|0}return}function bG(d,f,g){d=d|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0;l=f+84|0;t=c[l>>2]|0;u=wx()|0;v=fG()|0;i=0;h=0;k=Ol(t)|0;while(1){if(!k)break;j=Ol(c[k+8>>2]|0)|0;while(1){if(!j)break;j=c[j>>2]|0;i=i+1|0}h=h+1|0;if(a[k+12>>0]|0)jG(v,h);k=c[k>>2]|0}h=vw((i<<2)+4|0)|0;c[l>>2]=h;i=0;j=0;k=0;q=0;r=Ol(t)|0;while(1){if(!r)break;s=q&65535;p=0;o=Ol(c[r+8>>2]|0)|0;while(1){if(!o)break;n=c[o+8>>2]|0;c[h>>2]=n;k=cG(d,n,f,g)|0|k;l=dG(u,q,p,n)|0;b[n+86>>1]=s;b[n+84>>1]=l;l=l+(e[n+80>>1]|0)|0;m=q+(e[n+82>>1]|0)|0;if(kG(v,m)|0){p=n+100|0;a[p>>0]=a[p>>0]|2}p=l;h=h+4|0;o=c[o>>2]|0;i=(l|0)>(i|0)?l:i;j=(m|0)>(j|0)?m:j}q=q+1|0;r=c[r>>2]|0}c[f+100>>2]=j;c[f+104>>2]=i;Kl(t)|0;Kl(v)|0;zx(u);return k|0}function cG(f,g,i,j){f=f|0;g=g|0;i=i|0;j=j|0;var k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0.0;u=l;l=l+16|0;t=u+8|0;s=u;c[g+96>>2]=i;q=g+36|0;o=b[q>>1]|0;if(!(o&64)){if(!(b[i+36>>1]&64))n=2;else n=a[i+34>>0]|0;a[g+34>>0]=n}if(!(o&32)){n=a[i+88>>0]|0;if(n<<24>>24<=-1)if(!(b[i+36>>1]&32))n=1;else n=a[i+33>>0]|0;a[g+33>>0]=n}n=g+88|0;p=g+92|0;switch(a[p>>0]|0){case 1:{o=WF(f,c[n>>2]|0,g,j)|0;i=c[n>>2]|0;n=o;o=i+64|0;i=i+72|0;break}case 3:{o=eG(c[n>>2]|0,j)|0;i=c[n>>2]|0;n=o;o=i+16|0;i=i+24|0;break}default:{ZF(c[(c[f+16>>2]|0)+144>>2]|0,c[n>>2]|0,j);i=c[n>>2]|0;n=0;o=i+24|0;i=i+32|0}}k=+((d[g+33>>0]|0)+(d[g+34>>0]|0)<<1|0);m=+h[o>>3]+k;k=+h[i>>3]+k;i=g+38|0;do if(b[q>>1]&1){o=b[i>>1]|0;if(o<<16>>16?(r=b[g+40>>1]|0,r<<16>>16):0){if(!(m>+(o&65535)|k>+(r&65535))){m=0.0;k=0.0;break}if((a[p>>0]|0)==3){m=0.0;k=0.0;break}_l(0,122416,s)|0;n=1;m=0.0;k=0.0;break}_l(0,122449,t)|0;n=1}while(0);v=+(e[i>>1]|0);h[g+64>>3]=m>v?m:v;m=+(e[g+40>>1]|0);h[g+72>>3]=k>m?k:m;l=u;return n|0}function dG(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var f=0,g=0,h=0,i=0,j=0;j=d+80|0;i=(e[j>>1]|0)+-1|0;h=0;a:while(1){f=c;while(1){if(h)break a;g=i+f|0;while(1){if((g|0)<(f|0)){c=f;h=1;continue a}if(Ex(a,g,b)|0)break;g=g+-1|0}f=g+1|0}}h=d+82|0;f=c;while(1){if((f|0)<(c+(e[j>>1]|0)|0))g=b;else break;while(1){if((g|0)>=((e[h>>1]|0)+b|0))break;Cx(a,f,g);g=g+1|0}f=f+1|0}return c|0}function eG(b,d){b=b|0;d=d|0;var e=0.0,f=0.0,g=0,i=0,j=0,k=0,m=0;m=l;l=l+16|0;j=m;i=m+8|0;d=d+52|0;g=b+32|0;Pr(i,c[d>>2]|0,c[g>>2]|0);k=c[i>>2]|0;i=c[i+4>>2]|0;if((i&k|0)==-1){c[j>>2]=c[g>>2];_l(1,122499,j)|0;d=1;f=0.0;e=0.0}else{a[(c[(c[d>>2]|0)+16>>2]|0)+114>>0]=1;d=0;f=+(i|0);e=+(k|0)}c[b>>2]=0;c[b+4>>2]=0;c[b+8>>2]=0;c[b+12>>2]=0;h[b+16>>3]=e;h[b+24>>3]=f;l=m;return d|0}function fG(){return Ql(54908,c[4345]|0)|0}function gG(a,b,d){a=a|0;b=b|0;d=d|0;d=vw(12)|0;c[d>>2]=c[b>>2];return d|0}function hG(a,b,c){a=a|0;b=b|0;c=c|0;_I(b);return}function iG(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;b=c[b>>2]|0;e=c[d>>2]|0;return ((b|0)>(e|0)?1:((b|0)<(e|0))<<31>>31)|0}function jG(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=b;bb[c[a>>2]&31](a,e,1)|0;l=d;return}function kG(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=b;b=(bb[c[a>>2]&31](a,e,512)|0)!=0&1;l=d;return b|0}function lG(a){a=a|0;var b=0;if(!(c[42418]|0)){b=vw((a<<2)+4|0)|0;c[42418]=b;c[b>>2]=169676;c[42429]=a}c[42430]=0;return}function mG(){_I(c[42418]|0);c[42418]=0;c[42430]=0;return}function nG(){c[42430]=0;return}function oG(){var a=0,b=0,d=0;b=c[42430]|0;d=c[42418]|0;a=1;while(1){if((a|0)>(b|0)){a=5;break}if((c[(c[d+(a<<2)>>2]|0)+4>>2]|0)==(a|0))a=a+1|0;else{a=4;break}}if((a|0)==4)ma(123205,122552,59,122558);else if((a|0)==5)return}function pG(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;f=c[42418]|0;g=c[f+(a<<2)>>2]|0;h=c[g>>2]|0;while(1){b=(a|0)/2|0;d=c[f+(b<<2)>>2]|0;e=f+(a<<2)|0;if((c[d>>2]|0)>=(h|0))break;c[e>>2]=d;c[d+4>>2]=a;a=b}c[e>>2]=g;c[g+4>>2]=a;return}function qG(a){a=a|0;var b=0,d=0;d=l;l=l+16|0;b=c[42430]|0;if((b|0)==(c[42429]|0)){_l(1,122566,d)|0;a=1}else{b=b+1|0;c[42430]=b;c[(c[42418]|0)+(b<<2)>>2]=a;pG(b);oG();a=0}l=d;return a|0}function rG(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0;e=c[42418]|0;f=c[e+(a<<2)>>2]|0;g=c[f>>2]|0;h=c[42430]|0;i=(h|0)/2|0;while(1){if((a|0)>(i|0))break;d=a<<1;b=c[e+(d<<2)>>2]|0;if((d|0)<(h|0)){l=d|1;j=c[e+(l<<2)>>2]|0;k=(c[b>>2]|0)<(c[j>>2]|0);d=k?l:d;b=k?j:b}if((g|0)>=(c[b>>2]|0))break;c[e+(a<<2)>>2]=b;c[b+4>>2]=a;a=d}c[e+(a<<2)>>2]=f;c[f+4>>2]=a;return}function sG(){var a=0,b=0,d=0,e=0;b=c[42430]|0;if(!b)a=0;else{e=c[42418]|0;d=e+4|0;a=c[d>>2]|0;c[d>>2]=c[e+(b<<2)>>2];b=b+-1|0;c[42430]=b;if(b|0)rG(1);oG()}return a|0}function tG(a,b){a=a|0;b=b|0;c[a>>2]=b;pG(c[a+4>>2]|0);oG();return}function uG(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;m=b+16|0;j=c[m>>2]|0;j=(a[j+((c[e+12>>2]|0)*40|0)+36>>0]|0)!=(a[j+((c[e+16>>2]|0)*40|0)+36>>0]|0);k=~~((+h[d+64>>3]+-3.0-+h[d+48>>3])*.5);l=~~((+h[d+56>>3]+-3.0-+h[d+40>>3])*.5);g=(k|0)<(l|0)?k:l;n=d+4|0;f=0;while(1){b=c[n>>2]|0;if((f|0)>=(b|0)){g=f;break}i=c[d+8+(f<<2)>>2]|0;o=c[m>>2]|0;if((a[o+((c[i+12>>2]|0)*40|0)+36>>0]|0)==(a[o+((c[i+16>>2]|0)*40|0)+36>>0]|0)){g=f;break}vG(i,g);f=f+1|0}while(1){if((g|0)>=(b|0))break;f=c[d+8+(g<<2)>>2]|0;if(j|(f|0)==(e|0)){vG(f,a[(c[m>>2]|0)+((c[f+12>>2]|0)*40|0)+36>>0]|0?k:l);b=c[n>>2]|0}g=g+1|0}return}function vG(a,b){a=a|0;b=b|0;var d=0,e=0;d=a+8|0;e=c[d>>2]|0;c[d>>2]=e+1;if((e|0)>=(b|0)){c[d>>2]=0;h[a>>3]=+h[a>>3]+16384.0}return}function wG(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0.0,z=0.0,A=0.0,B=0.0,C=0,D=0,E=0.0;x=l;l=l+112|0;u=x+64|0;t=x+96|0;m=x+32|0;v=x;w=vw(28)|0;b=mn(a)|0;s=w+4|0;c[s>>2]=b;b=vw(b*72|0)|0;r=w+12|0;c[r>>2]=b;e=v+8|0;h[e>>3]=1797693134862315708145274.0e284;h[v>>3]=1797693134862315708145274.0e284;f=v+24|0;h[f>>3]=-1797693134862315708145274.0e284;g=v+16|0;h[g>>3]=-1797693134862315708145274.0e284;i=m+16|0;j=m+8|0;k=m+24|0;d=co(a)|0;n=1797693134862315708145274.0e284;o=1797693134862315708145274.0e284;p=-1797693134862315708145274.0e284;q=-1797693134862315708145274.0e284;while(1){if(!d)break;C=d+16|0;D=c[C>>2]|0;z=(+h[D+96>>3]+ +h[D+88>>3])*.5;z=z<1.0?1.0:z;y=+h[D+80>>3]*.5;y=y<1.0?1.0:y;E=+h[D+16>>3];B=E-z;h[m>>3]=B;z=E+z;h[i>>3]=z;E=+h[D+24>>3];A=E-y;h[j>>3]=A;y=E+y;h[k>>3]=y;B=+h[(n<B?v:m)>>3];h[v>>3]=B;A=+h[(o<A?v:m)+8>>3];h[e>>3]=A;z=+h[(p>z?v:m)+16>>3];h[g>>3]=z;y=+h[(q>y?v:m)+24>>3];h[f>>3]=y;D=b+40|0;c[D>>2]=c[m>>2];c[D+4>>2]=c[m+4>>2];c[D+8>>2]=c[m+8>>2];c[D+12>>2]=c[m+12>>2];c[D+16>>2]=c[m+16>>2];c[D+20>>2]=c[m+20>>2];c[D+24>>2]=c[m+24>>2];c[D+28>>2]=c[m+28>>2];c[b>>2]=c[b>>2]|1;c[(c[C>>2]|0)+112>>2]=b;b=b+72|0;d=eo(a,d)|0;n=B;o=A;p=z;q=y}h[v>>3]=n+-36.0;h[e>>3]=o+-36.0;h[g>>3]=p+36.0;h[f>>3]=q+36.0;D=c[r>>2]|0;f=c[s>>2]|0;c[u>>2]=c[v>>2];c[u+4>>2]=c[v+4>>2];c[u+8>>2]=c[v+8>>2];c[u+12>>2]=c[v+12>>2];c[u+16>>2]=c[v+16>>2];c[u+20>>2]=c[v+20>>2];c[u+24>>2]=c[v+24>>2];c[u+28>>2]=c[v+28>>2];f=GG(D,f,t,u)|0;if(c[42366]&1|0){r=c[r>>2]|0;C=c[s>>2]|0;D=c[t>>2]|0;c[u>>2]=c[v>>2];c[u+4>>2]=c[v+4>>2];c[u+8>>2]=c[v+8>>2];c[u+12>>2]=c[v+12>>2];c[u+16>>2]=c[v+16>>2];c[u+20>>2]=c[v+20>>2];c[u+24>>2]=c[v+24>>2];c[u+28>>2]=c[v+28>>2];xG(r,C,u,f,D)}e=w+8|0;c[e>>2]=vw((c[t>>2]|0)*72|0)|0;c[w>>2]=c[t>>2];d=c[t>>2]|0;b=0;while(1){if((b|0)>=(d|0))break;D=(c[e>>2]|0)+(b*72|0)+40|0;C=f+(b<<5)|0;c[D>>2]=c[C>>2];c[D+4>>2]=c[C+4>>2];c[D+8>>2]=c[C+8>>2];c[D+12>>2]=c[C+12>>2];c[D+16>>2]=c[C+16>>2];c[D+20>>2]=c[C+20>>2];c[D+24>>2]=c[C+24>>2];c[D+28>>2]=c[C+28>>2];b=b+1|0}_I(f);c[u>>2]=c[v>>2];c[u+4>>2]=c[v+4>>2];c[u+8>>2]=c[v+8>>2];c[u+12>>2]=c[v+12>>2];c[u+16>>2]=c[v+16>>2];c[u+20>>2]=c[v+20>>2];c[u+24>>2]=c[v+24>>2];c[u+28>>2]=c[v+28>>2];c[w+16>>2]=yG(w,u)|0;l=x;return w|0}function xG(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0.0,i=0,j=0,k=0.0,m=0.0,n=0.0,o=0,p=0,q=0,r=0,s=0,t=0.0,u=0.0,v=0.0;q=l;l=l+128|0;p=q+96|0;o=q+64|0;j=q+32|0;r=q+16|0;s=q;m=+h[d+16>>3];n=+h[d>>3];k=+h[d+24>>3];g=+h[d+8>>3];i=c[13918]|0;WL(122581,i)|0;c[s>>2]=10;c[s+4>>2]=10;c[s+8>>2]=~~(m+10.0-n);c[s+12>>2]=~~(k+10.0-g);zL(i,123011,s)|0;h[r>>3]=10.0-n;h[r+8>>3]=10.0-g;zL(i,123059,r)|0;WL(123076,i)|0;d=0;while(1){if((d|0)>=(b|0))break;v=+h[a+(d*72|0)+48>>3];u=+h[a+(d*72|0)+56>>3];t=+h[a+(d*72|0)+64>>3];h[j>>3]=+h[a+(d*72|0)+40>>3];h[j+8>>3]=v;h[j+16>>3]=u;h[j+24>>3]=t;zL(i,123095,j)|0;d=d+1|0}WL(123113,i)|0;d=0;while(1){if((d|0)>=(f|0))break;t=+h[e+(d<<5)+8>>3];u=+h[e+(d<<5)+16>>3];v=+h[e+(d<<5)+24>>3];h[o>>3]=+h[e+(d<<5)>>3];h[o+8>>3]=t;h[o+16>>3]=u;h[o+24>>3]=v;zL(i,123132,o)|0;d=d+1|0}WL(123150,i)|0;h[p>>3]=n;h[p+8>>3]=g;h[p+16>>3]=m;h[p+24>>3]=k;zL(i,123132,p)|0;WL(122897,i)|0;l=q;return}function yG(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0;A=l;l=l+32|0;t=A+16|0;k=A;w=c[a>>2]|0;y=WC(w<<2|2)|0;z=Ql(54944,c[4345]|0)|0;v=Ql(54980,c[4345]|0)|0;w=vw(w<<7)|0;f=vw(c[a>>2]<<4)|0;x=a+8|0;g=b+16|0;i=k+8|0;j=b+24|0;m=b+8|0;d=0;while(1){if((d|0)>=(c[a>>2]|0))break;n=c[x>>2]|0;o=n+(d*72|0)|0;c[n+(d*72|0)+32>>2]=4;p=n+(d*72|0)+36|0;c[p>>2]=f+(d<<2<<2);q=n+(d*72|0)+40|0;e=+h[n+(d*72|0)+56>>3];if(e<+h[g>>3]){h[k>>3]=e;h[i>>3]=+h[n+(d*72|0)+48>>3];c[t>>2]=c[k>>2];c[t+4>>2]=c[k+4>>2];c[t+8>>2]=c[k+8>>2];c[t+12>>2]=c[k+12>>2];s=zG(y,z,t,w,1)|0;c[s+20>>2]=o;c[c[p>>2]>>2]=s}e=+h[n+(d*72|0)+64>>3];if(e<+h[j>>3]){h[k>>3]=+h[q>>3];h[i>>3]=e;c[t>>2]=c[k>>2];c[t+4>>2]=c[k+4>>2];c[t+8>>2]=c[k+8>>2];c[t+12>>2]=c[k+12>>2];s=zG(y,v,t,w,0)|0;c[s+20>>2]=o;c[(c[p>>2]|0)+4>>2]=s}if(+h[q>>3]>+h[b>>3]){c[t>>2]=c[q>>2];c[t+4>>2]=c[q+4>>2];c[t+8>>2]=c[q+8>>2];c[t+12>>2]=c[q+12>>2];s=zG(y,z,t,w,1)|0;c[s+24>>2]=o;c[(c[p>>2]|0)+8>>2]=s}if(+h[n+(d*72|0)+48>>3]>+h[m>>3]){c[t>>2]=c[q>>2];c[t+4>>2]=c[q+4>>2];c[t+8>>2]=c[q+8>>2];c[t+12>>2]=c[q+12>>2];s=zG(y,v,t,w,0)|0;c[s+24>>2]=o;c[(c[p>>2]|0)+12>>2]=s}d=d+1|0}o=vw(c[y>>2]<<2)|0;r=a+4|0;s=a+12|0;p=t+8|0;m=0;q=0;n=0;while(1){d=c[r>>2]|0;if((n|0)>=(d|0)){b=0;break}g=c[s>>2]|0;i=g+(n*72|0)|0;j=g+(n*72|0)+36|0;c[j>>2]=o+(m<<2);b=g+(n*72|0)+40|0;c[t>>2]=c[b>>2];c[t+4>>2]=c[b+4>>2];c[t+8>>2]=c[b+8>>2];c[t+12>>2]=c[b+12>>2];b=g+(n*72|0)+56|0;k=g+(n*72|0)+32|0;d=bb[c[v>>2]&31](v,t,512)|0;while(1){if(!d)break;if(!(+h[d+8>>3]<+h[b>>3]))break;C=c[d>>2]|0;B=c[j>>2]|0;f=c[k>>2]|0;c[k>>2]=f+1;c[B+(f<<2)>>2]=C;c[(c[d>>2]|0)+24>>2]=i;d=bb[c[v>>2]&31](v,d,8)|0}f=g+(n*72|0)+64|0;d=bb[c[z>>2]&31](z,t,512)|0;while(1){if(!d){u=20;break}e=+h[f>>3];if(!(+h[d+16>>3]<e))break;b=c[d>>2]|0;B=c[j>>2]|0;C=c[k>>2]|0;c[k>>2]=C+1;c[B+(C<<2)>>2]=b;c[(c[d>>2]|0)+24>>2]=i;d=bb[c[z>>2]&31](z,d,8)|0}if((u|0)==20){u=0;e=+h[f>>3]}h[p>>3]=e;b=g+(n*72|0)+56|0;d=bb[c[v>>2]&31](v,t,512)|0;while(1){if(!d){u=25;break}e=+h[b>>3];if(!(+h[d+8>>3]<e))break;D=c[d>>2]|0;B=c[j>>2]|0;C=c[k>>2]|0;c[k>>2]=C+1;c[B+(C<<2)>>2]=D;c[(c[d>>2]|0)+20>>2]=i;d=bb[c[v>>2]&31](v,d,8)|0}if((u|0)==25){u=0;e=+h[b>>3]}h[t>>3]=e;h[p>>3]=+h[g+(n*72|0)+48>>3];d=bb[c[z>>2]&31](z,t,512)|0;while(1){if(!d)break;if(!(+h[d+16>>3]<+h[f>>3]))break;B=c[d>>2]|0;C=c[j>>2]|0;D=c[k>>2]|0;c[k>>2]=D+1;c[C+(D<<2)>>2]=B;c[(c[d>>2]|0)+20>>2]=i;d=bb[c[z>>2]&31](z,d,8)|0}D=c[k>>2]|0;m=D+m|0;q=(D|0)>(q|0)?D:q;n=n+1|0}while(1){if((b|0)>=(d|0))break;AG((c[s>>2]|0)+(b*72|0)|0);b=b+1|0;d=c[r>>2]|0}d=c[y>>2]|0;D=c[y+16>>2]|0;c[D+(d*40|0)+32>>2]=d;d=d+1|0;c[D+(d*40|0)+32>>2]=d;VC(y,q);d=0;while(1){if((d|0)>=(c[a>>2]|0))break;BG((c[x>>2]|0)+(d*72|0)|0,y);d=d+1|0}Kl(z)|0;Kl(v)|0;_I(w);CG(y);TC(y);l=A;return y|0}function zG(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0;h=bb[c[d>>2]&31](d,e,512)|0;do if(!h){b=XC(b)|0;if(!f)ma(122994,122942,291,123001);else{h=c[b+32>>2]|0;i=f+(h<<5)|0;f=f+(h<<5)+8|0;c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];c[f+8>>2]=c[e+8>>2];c[f+12>>2]=c[e+12>>2];c[i>>2]=b;a[b+36>>0]=g;bb[c[d>>2]&31](d,i,1)|0;break}}else i=h;while(0);return c[i>>2]|0}function AG(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0;a:do if((+h[b+64>>3]+-3.0-+h[b+48>>3])*.5<2.0){i=c[b+32>>2]|0;j=b+36|0;g=0;while(1){if((g|0)>=(i|0))break a;d=c[(c[j>>2]|0)+(g<<2)>>2]|0;b:do if(a[d+36>>0]|0){f=c[d+20>>2]|0;if((f|0)==(b|0)){e=c[d+24>>2]|0;d=e;e=c[e>>2]|0;do{c[d>>2]=e|8;d=c[c[d+36>>2]>>2]|0;if(!d)break b;d=c[d+24>>2]|0;e=c[d>>2]|0}while(!(e&1|0))}else{e=f;d=c[f>>2]|0;do{c[e>>2]=d|8;d=c[(c[e+36>>2]|0)+8>>2]|0;if(!d)break b;e=c[d+20>>2]|0;d=c[e>>2]|0}while(!(d&1|0))}}while(0);g=g+1|0}}while(0);c:do if((+h[b+56>>3]+-3.0-+h[b+40>>3])*.5<2.0){i=c[b+32>>2]|0;j=b+36|0;g=0;while(1){if((g|0)>=(i|0))break c;d=c[(c[j>>2]|0)+(g<<2)>>2]|0;d:do if(!(a[d+36>>0]|0)){f=c[d+20>>2]|0;if((f|0)==(b|0)){e=c[d+24>>2]|0;d=e;e=c[e>>2]|0;do{c[d>>2]=e|16;d=c[(c[d+36>>2]|0)+4>>2]|0;if(!d)break d;d=c[d+24>>2]|0;e=c[d>>2]|0}while(!(e&1|0))}else{e=f;d=c[f>>2]|0;do{c[e>>2]=d|16;d=c[(c[e+36>>2]|0)+12>>2]|0;if(!d)break d;e=c[d+20>>2]|0;d=c[e>>2]|0}while(!(d&1|0))}}while(0);g=g+1|0}}while(0);return}function BG(a,b){a=a|0;b=b|0;var d=0,e=0,f=0.0,g=0.0,i=0.0,j=0,k=0,l=0,m=0,n=0,o=0,p=0.0,q=0;g=+h[a+56>>3]-+h[a+40>>3];i=+h[a+64>>3]-+h[a+48>>3];f=(i+g)*.5+500.0;if((i+-3.0)*.5<2.0){l=(c[a>>2]&8|0)==0;f=l?16384.0:f;p=l?16384.0:g}else p=g;if((g+-3.0)*.5<2.0){l=(c[a>>2]&16|0)==0;i=l?16384.0:i;f=l?16384.0:f}l=a+36|0;d=c[l>>2]|0;e=c[d+8>>2]|0;if((e|0)!=0?(j=c[d+4>>2]|0,(j|0)!=0):0){j=YC(b,e,j,f)|0;e=a+4|0;d=c[e>>2]|0;c[e>>2]=d+1;c[a+8+(d<<2)>>2]=j;d=c[l>>2]|0}e=c[d+4>>2]|0;if((e|0)!=0?(k=c[d>>2]|0,(k|0)!=0):0){k=YC(b,e,k,f)|0;j=a+4|0;d=c[j>>2]|0;c[j>>2]=d+1;c[a+8+(d<<2)>>2]=k;d=c[l>>2]|0}e=c[d+8>>2]|0;if((e|0)!=0?(m=c[d+12>>2]|0,(m|0)!=0):0){m=YC(b,e,m,f)|0;k=a+4|0;d=c[k>>2]|0;c[k>>2]=d+1;c[a+8+(d<<2)>>2]=m;d=c[l>>2]|0}e=c[d+12>>2]|0;if((e|0)!=0?(n=c[d>>2]|0,(n|0)!=0):0){n=YC(b,e,n,f)|0;m=a+4|0;d=c[m>>2]|0;c[m>>2]=d+1;c[a+8+(d<<2)>>2]=n;d=c[l>>2]|0}e=c[d+4>>2]|0;if((e|0)!=0?(o=c[d+12>>2]|0,(o|0)!=0):0){o=YC(b,e,o,i)|0;n=a+4|0;d=c[n>>2]|0;c[n>>2]=d+1;c[a+8+(d<<2)>>2]=o;d=c[l>>2]|0}e=c[d+8>>2]|0;if(e|0?(q=c[d>>2]|0,q|0):0){b=YC(b,e,q,p)|0;o=a+4|0;q=c[o>>2]|0;c[o>>2]=q+1;c[a+8+(q<<2)>>2]=b}return}function CG(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0;j=l;l=l+16|0;i=j+8|0;h=j;f=a+16|0;g=c[13918]|0;e=0;while(1){if((e|0)>=(c[a>>2]|0)){b=10;break}b=c[f>>2]|0;d=b+(e*40|0)+20|0;if((c[d>>2]|0)==0?(c[h>>2]=e,zL(g,122907,h)|0,(c[d>>2]|0)==0):0){b=5;break}b=b+(e*40|0)+24|0;if((c[b>>2]|0)==0?(c[i>>2]=e,zL(g,122959,i)|0,(c[b>>2]|0)==0):0){b=8;break}e=e+1|0}if((b|0)==5)ma(122929,122942,311,122949);else if((b|0)==8)ma(122981,122942,313,122949);else if((b|0)==10){l=j;return}}function DG(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0.0,f=0.0;e=+h[b+8>>3];f=+h[c+8>>3];if(!(e>f))if(!(e<f)){f=+h[b>>3];e=+h[c>>3];if(f>e)a=1;else a=(f<e)<<31>>31}else a=-1;else a=1;return a|0}function EG(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0.0,f=0.0;e=+h[b>>3];f=+h[c>>3];if(!(e>f))if(!(e<f)){f=+h[b+8>>3];e=+h[c+8>>3];if(f>e)a=1;else a=(f<e)<<31>>31}else a=-1;else a=1;return a|0}function FG(a){a=a|0;var b=0,d=0;d=a+8|0;_I(c[(c[d>>2]|0)+36>>2]|0);b=a+12|0;_I(c[(c[b>>2]|0)+36>>2]|0);_I(c[d>>2]|0);_I(c[b>>2]|0);_C(c[a+16>>2]|0);Kl(c[a+20>>2]|0)|0;Kl(c[a+24>>2]|0)|0;_I(a);return}function GG(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;p=l;l=l+32|0;h=p;i=b<<2;f=i+4|0;i=i+5|0;o=ww(i*56|0)|0;i=vw(i<<2)|0;g=f*5|1;j=ww(g*72|0)|0;m=g<<5;k=vw(m)|0;m=vw(m)|0;c[h>>2]=c[e>>2];c[h+4>>2]=c[e+4>>2];c[h+8>>2]=c[e+8>>2];c[h+12>>2]=c[e+12>>2];c[h+16>>2]=c[e+16>>2];c[h+20>>2]=c[e+20>>2];c[h+24>>2]=c[e+24>>2];c[h+28>>2]=c[e+28>>2];HG(a,b,h,o,0);yM(173);IG(f,i);SG(f,o,i,g,j)|0;n=JG(f,o,j,0,k)|0;c[h>>2]=c[e>>2];c[h+4>>2]=c[e+4>>2];c[h+8>>2]=c[e+8>>2];c[h+12>>2]=c[e+12>>2];c[h+16>>2]=c[e+16>>2];c[h+20>>2]=c[e+20>>2];c[h+24>>2]=c[e+24>>2];c[h+28>>2]=c[e+28>>2];HG(a,b,h,o,1);IG(f,i);SG(f,o,i,g,j)|0;f=JG(f,o,j,1,m)|0;g=vw(O(n<<5,f)|0)|0;b=0;a=0;while(1){if((b|0)>=(f|0))break;h=m+(b<<5)|0;e=0;while(1){if((e|0)>=(n|0))break;q=a+((KG(g+(a<<5)|0,h,k+(e<<5)|0)|0)!=0&1)|0;e=e+1|0;a=q}b=b+1|0}q=yw(g,a<<5)|0;_I(o);_I(i);_I(j);_I(k);_I(m);c[d>>2]=a;l=p;return q|0}function HG(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0;j=l;l=l+96|0;h=j+64|0;i=j;c[h>>2]=c[d>>2];c[h+4>>2]=c[d+4>>2];c[h+8>>2]=c[d+8>>2];c[h+12>>2]=c[d+12>>2];c[h+16>>2]=c[d+16>>2];c[h+20>>2]=c[d+20>>2];c[h+24>>2]=c[d+24>>2];c[h+28>>2]=c[d+28>>2];QG(h,f,1,i);d=RG(e,1,i)|0;g=0;while(1){if((g|0)>=(b|0))break;k=a+(g*72|0)+40|0;c[h>>2]=c[k>>2];c[h+4>>2]=c[k+4>>2];c[h+8>>2]=c[k+8>>2];c[h+12>>2]=c[k+12>>2];c[h+16>>2]=c[k+16>>2];c[h+20>>2]=c[k+20>>2];c[h+24>>2]=c[k+24>>2];c[h+28>>2]=c[k+28>>2];QG(h,f,0,i);d=RG(e,d,i)|0;g=g+1|0}l=j;return}function IG(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;d=0;while(1){if((d|0)>(a|0))break;c[b+(d<<2)>>2]=d;d=d+1|0}g=a+1|0;d=1;while(1){if((d|0)>(a|0))break;h=~~(+AM()*+(g-d|0)+ +(d|0));e=b+(d<<2)|0;f=b+(h<<2)|0;if((d|0)!=(h|0)){h=c[e>>2]|0;c[e>>2]=c[f>>2];c[f>>2]=h}d=d+1|0}return}function JG(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;g=a*5|0;j=g+1|0;l=vw(j<<2)|0;c[42431]=vw(j<<4)|0;c[42432]=vw((a*56|0)+56|0)|0;j=vw(a<<2)|0;c[42433]=j;k=0;while(1){if((k|0)>(g|0))break;if(LG(d+(k*72|0)|0,b)|0)break;k=k+1|0}h=c[42431]|0;i=c[42432]|0;g=1;while(1){if((g|0)>(a|0))break;c[h+(g<<4)+8>>2]=c[b+(g*56|0)+48>>2];m=b+(g*56|0)+44|0;c[h+(g<<4)+4>>2]=c[m>>2];c[h+(g<<4)>>2]=g;n=i+(g*56|0)|0;o=b+(g*56|0)|0;c[n>>2]=c[o>>2];c[n+4>>2]=c[o+4>>2];c[n+8>>2]=c[o+8>>2];c[n+12>>2]=c[o+12>>2];c[i+(g*56|0)+16>>2]=c[m>>2];c[i+(g*56|0)+32>>2]=g;c[i+(g*56|0)+48>>2]=1;g=g+1|0}c[42434]=a;c[42435]=0;c[j>>2]=1;g=c[d+(k*72|0)+40>>2]|0;if((g|0)<=0){g=c[d+(k*72|0)+48>>2]|0;if((g|0)>0)g=MG(l,f,0,b,d,0,k,g,e,2)|0;else g=0}else g=MG(l,f,0,b,d,0,k,g,e,1)|0;_I(l);_I(c[42431]|0);_I(c[42432]|0);_I(c[42433]|0);return g|0}function KG(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0,f=0.0,g=0.0;g=+h[(+h[b>>3]>+h[c>>3]?b:c)>>3];f=+h[(+h[b+16>>3]<+h[c+16>>3]?b:c)+16>>3];h[a+16>>3]=f;h[a>>3]=g;e=+h[(+h[b+8>>3]>+h[c+8>>3]?b:c)+8>>3];d=+h[(+h[b+24>>3]<+h[c+24>>3]?b:c)+24>>3];h[a+24>>3]=d;h[a+8>>3]=e;return !(g>=f)&!(e>=d)&1|0}function LG(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0;f=c[a+4>>2]|0;do if((c[a+68>>2]|0)!=2?!((f|0)<1|(c[a>>2]|0)<1):0){if(!((c[a+40>>2]|0)<1?(c[a+44>>2]|0)<1:0)){if((c[a+48>>2]|0)>=1){a=0;break}if((c[a+52>>2]|0)>=1){a=0;break}}d=+h[b+(f*56|0)+24>>3];e=+h[b+(f*56|0)+8>>3];if(!(d>e+1.0e-07))if(d<e+-1.0e-07)a=0;else a=+h[b+(f*56|0)+16>>3]>+h[b+(f*56|0)>>3]&1;else a=1}else a=0;while(0);return a|0}function MG(a,b,d,e,f,g,i,j,k,l){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;j=j|0;k=k|0;l=l|0;var m=0,n=0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0.0,J=0,K=0.0,L=0,M=0,N=0,O=0,P=0;D=(k|0)==0;C=i;a:while(1){y=f+(C*72|0)|0;if((C|0)<1)break;i=a+(C<<2)|0;if(c[i>>2]|0)break;c[i>>2]=1;v=f+(C*72|0)+8|0;t=f+(C*72|0)+16|0;p=+h[t>>3];w=f+(C*72|0)+24|0;x=f+(C*72|0)+32|0;o=+h[x>>3];if((p>o?(A=c[y>>2]|0,I=+h[e+(A*56|0)>>3],I==+h[e+(A*56|0)+16>>3]):0)?(A=c[f+(C*72|0)+4>>2]|0,K=+h[e+(A*56|0)>>3],K==+h[e+(A*56|0)+16>>3]):0){i=b+(d<<5)|0;if(D){h[i>>3]=I;q=p;p=K}else{h[i>>3]=o;q=-I;o=-K}h[b+(d<<5)+8>>3]=o;h[b+(d<<5)+16>>3]=p;h[b+(d<<5)+24>>3]=q;d=d+1|0}i=f+(C*72|0)+40|0;z=c[i>>2]|0;do if((z|0)<1?(L=f+(C*72|0)+44|0,(c[L>>2]|0)<1):0){i=f+(C*72|0)+48|0;n=f+(C*72|0)+52|0;if((c[i>>2]|0)>0?(M=c[n>>2]|0,(M|0)>0):0){m=c[f+(M*72|0)>>2]|0;l=c[y>>2]|0;if((M|0)==(j|0)){l=NG(g,l,m)|0;d=MG(a,b,d,e,f,g,c[n>>2]|0,C,k,1)|0;g=l;l=1;break}else{l=NG(g,m,l)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,1)|0;g=l;i=n;l=1;break}}d=MG(a,b,d,e,f,g,z,C,k,2)|0;d=MG(a,b,d,e,f,g,c[L>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,1)|0;i=n;l=1}else P=19;while(0);do if((P|0)==19){P=0;A=f+(C*72|0)+48|0;r=c[A>>2]|0;if((r|0)<1?(N=f+(C*72|0)+52|0,(c[N>>2]|0)<1):0){n=f+(C*72|0)+44|0;if((z|0)>0?(O=c[n>>2]|0,(O|0)>0):0){m=c[f+(C*72|0)+4>>2]|0;l=c[f+(z*72|0)+4>>2]|0;if((O|0)==(j|0)){l=NG(g,l,m)|0;d=MG(a,b,d,e,f,g,c[n>>2]|0,C,k,2)|0;g=l;l=2;break}else{l=NG(g,m,l)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,2)|0;g=l;i=n;l=2;break}}d=MG(a,b,d,e,f,g,z,C,k,2)|0;d=MG(a,b,d,e,f,g,c[n>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;i=N;l=1;break}u=f+(C*72|0)+44|0;s=c[u>>2]|0;m=(s|0)>0;if((z|0)>0){if(m){if((r|0)>0?(E=f+(C*72|0)+52|0,F=c[E>>2]|0,(F|0)>0):0){n=c[f+(F*72|0)>>2]|0;m=c[f+(z*72|0)+4>>2]|0;if(!((l|0)==2&(F|0)==(j|0))?!((l|0)==1&(s|0)==(j|0)):0){l=NG(g,n,m)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,l,c[u>>2]|0,C,k,2)|0;g=l;i=E;l=1;break}l=NG(g,m,n)|0;d=MG(a,b,d,e,f,g,c[u>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[E>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,l,c[i>>2]|0,C,k,2)|0;g=l;i=A;l=1;break}m=c[y>>2]|0;if(+B(+(+h[x>>3]-+h[e+(m*56|0)+24>>3]))<=1.0e-07?+B(+(+h[w>>3]-+h[e+(m*56|0)+16>>3]))<=1.0e-07:0){n=c[f+(z*72|0)+4>>2]|0;m=c[e+(m*56|0)+44>>2]|0;if((l|0)==1&(z|0)==(j|0)){l=NG(g,m,n)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,l,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,l,c[u>>2]|0,C,k,2)|0;g=l;i=f+(C*72|0)+52|0;l=1;break}else{l=NG(g,n,m)|0;d=MG(a,b,d,e,f,g,c[u>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+52>>2]|0,C,k,1)|0;g=l;l=2;break}}n=c[f+(C*72|0)+4>>2]|0;m=c[f+(z*72|0)+4>>2]|0;if((l|0)==1&(s|0)==(j|0)){l=NG(g,m,n)|0;d=MG(a,b,d,e,f,g,c[u>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,l,c[f+(C*72|0)+52>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,l,c[A>>2]|0,C,k,1)|0;g=l;l=2;break}else{l=NG(g,n,m)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+52>>2]|0,C,k,1)|0;g=l;i=u;l=2;break}}}else if(!m)break a;if((r|0)>0?(G=f+(C*72|0)+52|0,H=c[G>>2]|0,(H|0)>0):0){n=c[y>>2]|0;if(+B(+(+h[t>>3]-+h[e+(n*56|0)+8>>3]))<=1.0e-07?+B(+(+h[v>>3]-+h[e+(n*56|0)>>3]))<=1.0e-07:0){m=c[f+(H*72|0)>>2]|0;if((l|0)==2&(r|0)==(j|0)){l=NG(g,m,n)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,l,c[i>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,l,c[f+(C*72|0)+44>>2]|0,C,k,2)|0;g=l;i=G;l=1;break}else{l=NG(g,n,m)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+44>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[G>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,2)|0;g=l;i=A;l=1;break}}m=c[f+(H*72|0)>>2]|0;n=c[e+((c[f+(C*72|0)+4>>2]|0)*56|0)+44>>2]|0;if((l|0)==2&(H|0)==(j|0)){l=NG(g,n,m)|0;d=MG(a,b,d,e,f,g,c[G>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,l,c[f+(C*72|0)+44>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,l,c[i>>2]|0,C,k,2)|0;g=l;i=A;l=1;break}else{l=NG(g,m,n)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+44>>2]|0,C,k,2)|0;g=l;i=G;l=1;break}}o=+h[t>>3];n=c[y>>2]|0;if(((+B(+(o-+h[e+(n*56|0)+8>>3]))<=1.0e-07?+B(+(+h[v>>3]-+h[e+(n*56|0)>>3]))<=1.0e-07:0)?(J=c[f+(C*72|0)+4>>2]|0,+B(+(+h[x>>3]-+h[e+(J*56|0)+8>>3]))<=1.0e-07):0)?+B(+(+h[w>>3]-+h[e+(J*56|0)>>3]))<=1.0e-07:0)if((l|0)==1){l=NG(g,n,J)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+44>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,l,c[f+(C*72|0)+52>>2]|0,C,k,1)|0;g=l;i=A;l=1;break}else{l=NG(g,J,n)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+52>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,l,c[i>>2]|0,C,k,2)|0;g=l;i=f+(C*72|0)+44|0;l=2;break}j=c[f+(C*72|0)+4>>2]|0;if(((+B(+(o-+h[e+(j*56|0)+24>>3]))<=1.0e-07?+B(+(+h[v>>3]-+h[e+(j*56|0)+16>>3]))<=1.0e-07:0)?+B(+(+h[x>>3]-+h[e+(n*56|0)+24>>3]))<=1.0e-07:0)?+B(+(+h[w>>3]-+h[e+(n*56|0)+16>>3]))<=1.0e-07:0){m=c[e+(j*56|0)+44>>2]|0;j=c[e+(n*56|0)+44>>2]|0;if((l|0)==1){l=NG(g,j,m)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+44>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,l,c[f+(C*72|0)+52>>2]|0,C,k,1)|0;g=l;i=A;l=1;break}else{l=NG(g,m,j)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+52>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,l,c[i>>2]|0,C,k,2)|0;g=l;i=f+(C*72|0)+44|0;l=2;break}}d=MG(a,b,d,e,f,g,z,C,k,2)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+44>>2]|0,C,k,2)|0;i=f+(C*72|0)+52|0;l=1}while(0);j=C;C=c[i>>2]|0}return d|0}function NG(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0;f=l;l=l+16|0;r=f+4|0;i=f;e=(c[42435]|0)+1|0;c[42435]=e;m=c[42432]|0;OG(b,d,r,i);r=c[r>>2]|0;h=c[m+(b*56|0)+32+(r<<2)>>2]|0;i=c[m+(d*56|0)+32+(c[i>>2]<<2)>>2]|0;n=c[42434]|0;g=n+1|0;n=n+2|0;c[42434]=n;q=c[42431]|0;c[q+(g<<4)>>2]=b;c[q+(n<<4)>>2]=d;o=q+(h<<4)+4|0;p=q+(g<<4)+4|0;c[p>>2]=c[o>>2];c[q+(c[o>>2]<<4)+8>>2]=g;c[q+(g<<4)+8>>2]=n;c[q+(n<<4)+4>>2]=g;j=q+(i<<4)+8|0;c[q+(n<<4)+8>>2]=c[j>>2];c[q+(c[j>>2]<<4)+4>>2]=n;c[o>>2]=i;c[j>>2]=h;j=m+(b*56|0)+48|0;o=c[j>>2]|0;i=m+(d*56|0)+48|0;k=c[i>>2]|0;c[m+(b*56|0)+16+(r<<2)>>2]=d;c[m+(b*56|0)+32+(o<<2)>>2]=g;c[m+(b*56|0)+16+(o<<2)>>2]=c[q+(c[p>>2]<<4)>>2];c[m+(d*56|0)+32+(k<<2)>>2]=n;c[m+(d*56|0)+16+(k<<2)>>2]=b;c[j>>2]=(c[j>>2]|0)+1;c[i>>2]=(c[i>>2]|0)+1;d=c[42433]|0;c[d+(a<<2)>>2]=h;c[d+(e<<2)>>2]=g;l=f;return e|0}function OG(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0.0,h=0,i=0,j=0.0,k=0.0,l=0,m=0,n=0;l=c[42432]|0;m=l+(a*56|0)|0;n=l+(b*56|0)|0;f=0;g=-4.0;i=0;while(1){if((i|0)==4)break;h=c[l+(a*56|0)+16+(i<<2)>>2]|0;if((h|0)>=1?(j=+PG(m,l+(h*56|0)|0,n),j>g):0){f=i;g=j}i=i+1|0}c[d>>2]=f;f=0;i=0;g=-4.0;while(1){if((i|0)==4)break;h=c[l+(b*56|0)+16+(i<<2)>>2]|0;if((h|0)>=1?(k=+PG(n,l+(h*56|0)|0,m),k>g):0){f=i;g=k}i=i+1|0}c[e>>2]=f;return}function PG(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0,f=0.0,g=0.0,i=0.0;g=+h[a>>3];i=+h[b>>3]-g;d=+h[a+8>>3];f=+h[b+8>>3]-d;g=+h[c>>3]-g;d=+h[c+8>>3]-d;e=d*f+g*i;if(!(d*i-g*f>=0.0))d=-e/(+C(+(d*d+g*g))*+C(+(f*f+i*i)))+-2.0;else d=e/(+C(+(d*d+g*g))*+C(+(f*f+i*i)));return +d}function QG(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0.0,l=0.0;c[e>>2]=c[a>>2];c[e+4>>2]=c[a+4>>2];c[e+8>>2]=c[a+8>>2];c[e+12>>2]=c[a+12>>2];i=e+32|0;j=a+16|0;c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];c[i+8>>2]=c[j+8>>2];c[i+12>>2]=c[j+12>>2];if(!d){f=a+8|0;g=j;i=a+24|0;d=a}else{f=a+24|0;g=a;i=a+8|0;d=j}k=+h[g>>3];l=+h[i>>3];h[e+16>>3]=+h[d>>3];h[e+24>>3]=l;h[e+48>>3]=k;h[e+56>>3]=+h[f>>3];a:do if(b|0){d=0;while(1){if((d|0)==4)break a;j=e+(d<<4)+8|0;l=+h[j>>3];b=e+(d<<4)|0;h[j>>3]=+h[b>>3];h[b>>3]=-l;d=d+1|0}}while(0);return}function RG(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0;h=b+3|0;i=b+1|0;j=b+2|0;k=a+(b*56|0)+44|0;l=a+(h*56|0)+44|0;e=0;f=b;while(1){if((f|0)>(h|0))break;do if((f|0)!=(b|0))if((f|0)==(h|0)){c[l>>2]=b;g=j;break}else{c[a+(f*56|0)+44>>2]=f+1;g=f+-1|0;break}else{c[k>>2]=i;g=h}while(0);c[a+(f*56|0)+48>>2]=g;c[a+(f*56|0)+32>>2]=0;n=a+(f*56|0)|0;m=d+(e<<4)|0;c[n>>2]=c[m>>2];c[n+4>>2]=c[m+4>>2];c[n+8>>2]=c[m+8>>2];c[n+12>>2]=c[m+12>>2];UN(a+(g*56|0)+16|0,m|0,16)|0;e=e+1|0;f=f+1|0}return b+4|0}function SG(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0;c[42436]=e<<1;c[42437]=e;k=vw(e*80|0)|0;c[42438]=1;c[42439]=1;VN(f|0,0,e*72|0)|0;g=TG(c[d+4>>2]|0,b,f,k)|0;e=1;while(1){if((e|0)>(a|0))break;c[b+(e*56|0)+40>>2]=g;c[b+(e*56|0)+36>>2]=g;e=e+1|0}j=UG(a)|0;g=2;i=1;while(1){if((i|0)>(j|0))break;e=VG(a,i+-1|0)|0;h=VG(a,i)|0;while(1){if((e|0)>=(h|0)){e=1;break}WG(c[d+(g<<2)>>2]|0,b,f,k);e=e+1|0;g=g+1|0}while(1){if((e|0)>(a|0))break;XG(e,b,f,k);e=e+1|0}i=i+1|0}e=VG(a,j)|0;while(1){if((e|0)>=(a|0))break;WG(c[d+(g<<2)>>2]|0,b,f,k);g=g+1|0;e=e+1|0}_I(k);return c[42438]|0}function TG(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;f=aH()|0;c[e+(f*40|0)>>2]=2;s=e+(f*40|0)+8|0;k=b+(a*56|0)|0;l=b+(a*56|0)+16|0;eH(s,k,l);n=aH()|0;c[e+(f*40|0)+36>>2]=n;c[e+(n*40|0)>>2]=3;c[e+(n*40|0)+28>>2]=f;j=aH()|0;c[e+(f*40|0)+32>>2]=j;c[e+(j*40|0)>>2]=2;r=e+(j*40|0)+8|0;fH(r,k,l);c[e+(j*40|0)+28>>2]=f;l=aH()|0;c[e+(j*40|0)+32>>2]=l;c[e+(l*40|0)>>2]=3;c[e+(l*40|0)+28>>2]=j;k=aH()|0;c[e+(j*40|0)+36>>2]=k;c[e+(k*40|0)>>2]=1;c[e+(k*40|0)+4>>2]=a;c[e+(k*40|0)+28>>2]=j;j=aH()|0;c[e+(k*40|0)+32>>2]=j;c[e+(j*40|0)>>2]=3;c[e+(j*40|0)+28>>2]=k;g=aH()|0;c[e+(k*40|0)+36>>2]=g;c[e+(g*40|0)>>2]=3;c[e+(g*40|0)+28>>2]=k;k=$G(d)|0;i=$G(d)|0;m=$G(d)|0;o=$G(d)|0;p=d+(k*72|0)+8|0;q=d+(i*72|0)+8|0;t=d+(o*72|0)+24|0;c[t>>2]=c[s>>2];c[t+4>>2]=c[s+4>>2];c[t+8>>2]=c[s+8>>2];c[t+12>>2]=c[s+12>>2];UN(q|0,s|0,16)|0;c[p>>2]=c[q>>2];c[p+4>>2]=c[q+4>>2];c[p+8>>2]=c[q+8>>2];c[p+12>>2]=c[q+12>>2];p=d+(k*72|0)+24|0;q=d+(i*72|0)+24|0;s=d+(m*72|0)+8|0;c[s>>2]=c[r>>2];c[s+4>>2]=c[r+4>>2];c[s+8>>2]=c[r+8>>2];c[s+12>>2]=c[r+12>>2];UN(q|0,r|0,16)|0;c[p>>2]=c[q>>2];c[p+4>>2]=c[q+4>>2];c[p+8>>2]=c[q+8>>2];c[p+12>>2]=c[q+12>>2];h[d+(o*72|0)+16>>3]=1073741824.0;h[d+(o*72|0)+8>>3]=1073741824.0;h[d+(m*72|0)+32>>3]=-1073741824.0;h[d+(m*72|0)+24>>3]=-1073741824.0;c[d+(i*72|0)>>2]=a;c[d+(k*72|0)+4>>2]=a;c[d+(i*72|0)+40>>2]=o;c[d+(k*72|0)+40>>2]=o;c[d+(i*72|0)+48>>2]=m;c[d+(k*72|0)+48>>2]=m;c[d+(m*72|0)+40>>2]=k;c[d+(o*72|0)+48>>2]=k;c[d+(m*72|0)+44>>2]=i;c[d+(o*72|0)+52>>2]=i;c[d+(k*72|0)+56>>2]=j;c[d+(i*72|0)+56>>2]=g;c[d+(m*72|0)+56>>2]=l;c[d+(o*72|0)+56>>2]=n;c[d+(i*72|0)+68>>2]=1;c[d+(k*72|0)+68>>2]=1;c[d+(o*72|0)+68>>2]=1;c[d+(m*72|0)+68>>2]=1;c[e+(n*40|0)+24>>2]=o;c[e+(l*40|0)+24>>2]=m;c[e+(j*40|0)+24>>2]=k;c[e+(g*40|0)+24>>2]=i;c[b+(a*56|0)+32>>2]=1;return f|0}function UG(a){a=a|0;var b=0.0;b=+(a|0);a=0;while(1){if(!(b>=1.0))break;b=+CJ(b);a=a+1|0}return a+-1|0}function VG(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;d=+(a|0);c=d;a=0;while(1){if((a|0)>=(b|0))break;c=+CJ(c);a=a+1|0}return ~~+N(+(d/c))|0}function WG(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0.0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0,T=0,U=0,V=0,W=0,X=0;W=l;l=l+96|0;S=W+32|0;f=W+16|0;T=W;s=S;k=b+(a*56|0)|0;r=s+56|0;do{c[s>>2]=c[k>>2];s=s+4|0;k=k+4|0}while((s|0)<(r|0));U=S+16|0;V=S+24|0;i=+h[V>>3];H=S+8|0;j=+h[H>>3];do if(!(i>j+1.0e-07)){if(!(i<j+-1.0e-07)?+h[U>>3]>+h[S>>3]:0){G=4;break}G=(_G(a,b,1)|0)==0;f=c[S+36>>2]|0;if(G){n=0;G=7}else{f=YG(S,U,f,b,e)|0;G=20}}else G=4;while(0);if((G|0)==4){c[f>>2]=c[S>>2];c[f+4>>2]=c[S+4>>2];c[f+8>>2]=c[S+8>>2];c[f+12>>2]=c[S+12>>2];c[S>>2]=c[U>>2];c[S+4>>2]=c[U+4>>2];c[S+8>>2]=c[U+8>>2];c[S+12>>2]=c[U+12>>2];c[U>>2]=c[f>>2];c[U+4>>2]=c[f+4>>2];c[U+8>>2]=c[f+8>>2];c[U+12>>2]=c[f+12>>2];E=S+36|0;F=c[E>>2]|0;G=S+40|0;f=c[G>>2]|0;c[E>>2]=f;c[G>>2]=F;if(!(_G(a,b,2)|0)){n=1;G=7}else{f=YG(S,U,f,b,e)|0;G=19}}if((G|0)==7){m=YG(S,U,f,b,e)|0;f=$G(d)|0;c[d+(f*72|0)+68>>2]=1;s=d+(f*72|0)|0;k=d+(m*72|0)|0;r=s+72|0;do{c[s>>2]=c[k>>2];s=s+4|0;k=k+4|0}while((s|0)<(r|0));q=+h[H>>3];h[d+(f*72|0)+16>>3]=q;h[d+(m*72|0)+32>>3]=q;q=+h[S>>3];h[d+(f*72|0)+8>>3]=q;h[d+(m*72|0)+24>>3]=q;c[d+(m*72|0)+48>>2]=f;c[d+(m*72|0)+52>>2]=0;c[d+(f*72|0)+40>>2]=m;c[d+(f*72|0)+44>>2]=0;g=c[d+(f*72|0)+48>>2]|0;if((g|0)>0){k=d+(g*72|0)+40|0;if((c[k>>2]|0)==(m|0))c[k>>2]=f;g=d+(g*72|0)+44|0;if((c[g>>2]|0)==(m|0))c[g>>2]=f}g=c[d+(f*72|0)+52>>2]|0;if((g|0)>0){k=d+(g*72|0)+40|0;if((c[k>>2]|0)==(m|0))c[k>>2]=f;g=d+(g*72|0)+44|0;if((c[g>>2]|0)==(m|0))c[g>>2]=f}E=aH()|0;G=aH()|0;F=d+(m*72|0)+56|0;D=c[F>>2]|0;c[e+(D*40|0)>>2]=2;C=e+(D*40|0)+8|0;c[C>>2]=c[S>>2];c[C+4>>2]=c[S+4>>2];c[C+8>>2]=c[S+8>>2];c[C+12>>2]=c[S+12>>2];c[e+(D*40|0)+4>>2]=a;c[e+(D*40|0)+32>>2]=G;c[e+(D*40|0)+36>>2]=E;c[e+(E*40|0)>>2]=3;c[e+(E*40|0)+24>>2]=m;c[e+(E*40|0)+28>>2]=D;c[e+(G*40|0)>>2]=3;c[e+(G*40|0)+24>>2]=f;c[e+(G*40|0)+28>>2]=D;c[F>>2]=E;c[d+(f*72|0)+56>>2]=G;if(n)G=19;else G=20}if((G|0)==19)if(!(_G(a,b,1)|0)){g=1;G=21}else{g=1;G=32}else if((G|0)==20)if(!(_G(a,b,2)|0)){g=0;G=21}else{g=0;G=32}if((G|0)==21){o=YG(U,S,c[S+40>>2]|0,b,e)|0;n=$G(d)|0;c[d+(n*72|0)+68>>2]=1;s=d+(n*72|0)|0;k=d+(o*72|0)|0;r=s+72|0;do{c[s>>2]=c[k>>2];s=s+4|0;k=k+4|0}while((s|0)<(r|0));q=+h[V>>3];h[d+(n*72|0)+16>>3]=q;h[d+(o*72|0)+32>>3]=q;q=+h[U>>3];h[d+(n*72|0)+8>>3]=q;h[d+(o*72|0)+24>>3]=q;c[d+(o*72|0)+48>>2]=n;c[d+(o*72|0)+52>>2]=0;c[d+(n*72|0)+40>>2]=o;c[d+(n*72|0)+44>>2]=0;k=c[d+(n*72|0)+48>>2]|0;if((k|0)>0){m=d+(k*72|0)+40|0;if((c[m>>2]|0)==(o|0))c[m>>2]=n;k=d+(k*72|0)+44|0;if((c[k>>2]|0)==(o|0))c[k>>2]=n}k=c[d+(n*72|0)+52>>2]|0;if((k|0)>0){m=d+(k*72|0)+40|0;if((c[m>>2]|0)==(o|0))c[m>>2]=n;k=d+(k*72|0)+44|0;if((c[k>>2]|0)==(o|0))c[k>>2]=n}D=aH()|0;F=aH()|0;E=d+(o*72|0)+56|0;C=c[E>>2]|0;c[e+(C*40|0)>>2]=2;A=e+(C*40|0)+8|0;c[A>>2]=c[U>>2];c[A+4>>2]=c[U+4>>2];c[A+8>>2]=c[U+8>>2];c[A+12>>2]=c[U+12>>2];c[e+(C*40|0)+4>>2]=a;c[e+(C*40|0)+32>>2]=F;c[e+(C*40|0)+36>>2]=D;c[e+(D*40|0)>>2]=3;c[e+(D*40|0)+24>>2]=o;c[e+(D*40|0)+28>>2]=C;c[e+(F*40|0)>>2]=3;c[e+(F*40|0)+24>>2]=n;c[e+(F*40|0)+28>>2]=C;c[E>>2]=D;c[d+(n*72|0)+56>>2]=F;F=f;f=0}else if((G|0)==32){F=f;o=YG(U,S,c[S+40>>2]|0,b,e)|0;f=1}a:do if((F|0)>0){D=d+(o*72|0)+24|0;E=d+(o*72|0)+32|0;C=(f|0)!=0;y=g?b+(a*56|0)+48|0:b+(a*56|0)+44|0;z=T+8|0;g=0;f=0;x=F;b:while(1){k=d+(x*72|0)|0;v=d+(x*72|0)+24|0;if(!(bH(v,D)|0))break a;m=d+(x*72|0)+56|0;u=c[m>>2]|0;n=aH()|0;p=aH()|0;c[e+(u*40|0)>>2]=1;c[e+(u*40|0)+4>>2]=a;c[e+(u*40|0)+32>>2]=n;c[e+(u*40|0)+36>>2]=p;c[e+(n*40|0)>>2]=3;c[e+(n*40|0)+24>>2]=x;c[e+(n*40|0)+28>>2]=u;c[e+(p*40|0)>>2]=3;w=$G(d)|0;c[e+(p*40|0)+24>>2]=w;A=d+(w*72|0)|0;c[d+(w*72|0)+68>>2]=1;c[e+(p*40|0)+28>>2]=u;g=(x|0)==(F|0)?w:g;u=d+(x*72|0)+32|0;if(+B(+(+h[u>>3]-+h[E>>3]))<=1.0e-07?+B(+(+h[v>>3]-+h[D>>3]))<=1.0e-07:0)f=w;s=A;r=s+72|0;do{c[s>>2]=c[k>>2];s=s+4|0;k=k+4|0}while((s|0)<(r|0));c[m>>2]=n;c[d+(w*72|0)+56>>2]=p;t=d+(x*72|0)+48|0;m=d+(x*72|0)+52|0;k=(c[m>>2]|0)<1;do if((c[t>>2]|0)<1){if(k)break b;s=d+(x*72|0)+40|0;k=c[s>>2]|0;do if((k|0)>0?(M=d+(x*72|0)+44|0,N=c[M>>2]|0,(N|0)>0):0){r=d+(x*72|0)+60|0;k=c[r>>2]|0;if((k|0)<=0){c[d+(w*72|0)+40>>2]=N;c[d+(w*72|0)+44>>2]=-1;c[M>>2]=-1;c[d+(N*72|0)+48>>2]=w;break}if((c[d+(x*72|0)+64>>2]|0)==1){c[d+(w*72|0)+40>>2]=N;c[M>>2]=-1;c[d+(w*72|0)+44>>2]=k;c[d+((c[s>>2]|0)*72|0)+48>>2]=x;p=w;n=N}else{c[d+(w*72|0)+44>>2]=-1;t=d+(w*72|0)+40|0;c[t>>2]=c[M>>2];n=c[s>>2]|0;c[M>>2]=n;c[s>>2]=k;c[d+(k*72|0)+48>>2]=x;p=x;k=c[t>>2]|0}c[d+(n*72|0)+48>>2]=p;c[d+(k*72|0)+48>>2]=w;c[d+(w*72|0)+60>>2]=0;c[r>>2]=0}else G=77;while(0);do if((G|0)==77){G=0;n=d+(k*72|0)+48|0;p=c[n>>2]|0;k=d+(k*72|0)+52|0;if((p|0)>0?(c[k>>2]|0)>0:0){k=c[d+(p*72|0)+4>>2]|0;if((k|0)>0?(ZG(k,b,U)|0)==0:0){c[d+(w*72|0)+44>>2]=-1;c[d+(x*72|0)+44>>2]=-1;c[s>>2]=-1;c[d+((c[d+(w*72|0)+40>>2]|0)*72|0)+52>>2]=w;break}c[d+(x*72|0)+44>>2]=-1;c[d+(w*72|0)+44>>2]=-1;c[d+(w*72|0)+40>>2]=-1;c[d+((c[s>>2]|0)*72|0)+48>>2]=x;break}c[n>>2]=x;c[k>>2]=w}while(0);if(+B(+(+h[u>>3]-+h[E>>3]))<=1.0e-07?C&+B(+(+h[v>>3]-+h[D>>3]))<=1.0e-07:0){k=c[y>>2]|0;if((k|0)>0?(ZG(k,b,S)|0)!=0:0){c[d+((c[m>>2]|0)*72|0)+40>>2]=x;n=d+(w*72|0)+52|0;k=w}else{c[d+((c[d+(w*72|0)+52>>2]|0)*72|0)+44>>2]=w;n=m;k=x}c[n>>2]=-1;c[d+(k*72|0)+48>>2]=-1;k=c[m>>2]|0;break}k=c[m>>2]|0;m=d+(k*72|0)+40|0;n=c[m>>2]|0;p=d+(k*72|0)+44|0;if((n|0)>0?(O=c[p>>2]|0,P=(n|0)==(x|0),(O|0)>0):0){c[d+(k*72|0)+60>>2]=P?O:n;c[d+(k*72|0)+64>>2]=P?1:2}c[m>>2]=x;c[p>>2]=w}else{if(!k){i=+h[u>>3];j=+h[H>>3];q=i-j;if(!(+B(+q)<=1.0e-07)){h[z>>3]=i;i=+h[S>>3];h[T>>3]=(+h[U>>3]-i)*(q/(+h[V>>3]-j))+i;s=(cH(T,v)|0)!=0}else s=+h[v>>3]>+h[S>>3];r=d+(x*72|0)+40|0;k=c[r>>2]|0;do if((k|0)>0?(Q=d+(x*72|0)+44|0,R=c[Q>>2]|0,(R|0)>0):0){p=d+(x*72|0)+60|0;k=c[p>>2]|0;if((k|0)<=0){c[d+(w*72|0)+40>>2]=R;c[d+(w*72|0)+44>>2]=-1;c[Q>>2]=-1;c[d+(R*72|0)+48>>2]=w;break}if((c[d+(x*72|0)+64>>2]|0)==1){c[d+(w*72|0)+40>>2]=R;c[Q>>2]=-1;c[d+(w*72|0)+44>>2]=k;c[d+((c[r>>2]|0)*72|0)+48>>2]=x;n=w;m=R}else{c[d+(w*72|0)+44>>2]=-1;X=d+(w*72|0)+40|0;c[X>>2]=c[Q>>2];m=c[r>>2]|0;c[Q>>2]=m;c[r>>2]=k;c[d+(k*72|0)+48>>2]=x;n=x;k=c[X>>2]|0}c[d+(m*72|0)+48>>2]=n;c[d+(k*72|0)+48>>2]=w;c[d+(w*72|0)+60>>2]=0;c[p>>2]=0}else G=106;while(0);do if((G|0)==106){G=0;m=d+(k*72|0)+48|0;n=c[m>>2]|0;k=d+(k*72|0)+52|0;if((n|0)>0?(c[k>>2]|0)>0:0){k=c[d+(n*72|0)+4>>2]|0;if((k|0)>0?(ZG(k,b,U)|0)==0:0){c[d+(w*72|0)+44>>2]=-1;c[d+(x*72|0)+44>>2]=-1;c[r>>2]=-1;c[d+((c[d+(w*72|0)+40>>2]|0)*72|0)+52>>2]=w;break}c[d+(x*72|0)+44>>2]=-1;c[d+(w*72|0)+44>>2]=-1;c[d+(w*72|0)+40>>2]=-1;c[d+((c[r>>2]|0)*72|0)+48>>2]=x;break}c[m>>2]=x;c[k>>2]=w}while(0);if(+B(+(+h[u>>3]-+h[E>>3]))<=1.0e-07?C&+B(+(+h[v>>3]-+h[D>>3]))<=1.0e-07:0){k=c[t>>2]|0;c[d+(k*72|0)+40>>2]=x;c[d+(k*72|0)+44>>2]=-1;k=d+(x*72|0)+52|0;X=c[k>>2]|0;c[d+(X*72|0)+40>>2]=w;c[d+(X*72|0)+44>>2]=-1;c[d+(w*72|0)+48>>2]=X;c[d+(w*72|0)+52>>2]=-1;c[k>>2]=-1;k=-1}else G=116;do if((G|0)==116){G=0;k=c[t>>2]|0;c[d+(k*72|0)+40>>2]=x;m=d+(k*72|0)+44|0;if(s){c[m>>2]=w;X=d+(x*72|0)+52|0;v=c[X>>2]|0;c[d+(v*72|0)+40>>2]=w;c[d+(v*72|0)+44>>2]=-1;c[X>>2]=-1;break}else{c[m>>2]=-1;k=d+(x*72|0)+52|0;X=c[k>>2]|0;c[d+(X*72|0)+40>>2]=x;c[d+(X*72|0)+44>>2]=w;c[d+(w*72|0)+48>>2]=X;c[d+(w*72|0)+52>>2]=-1;k=c[k>>2]|0;break}}while(0);break}s=d+(x*72|0)+40|0;k=c[s>>2]|0;do if((k|0)>0?(I=d+(x*72|0)+44|0,J=c[I>>2]|0,(J|0)>0):0){r=d+(x*72|0)+60|0;k=c[r>>2]|0;if((k|0)<=0){c[d+(w*72|0)+40>>2]=J;c[d+(w*72|0)+44>>2]=-1;c[I>>2]=-1;c[d+(J*72|0)+48>>2]=w;break}if((c[d+(x*72|0)+64>>2]|0)==1){c[d+(w*72|0)+40>>2]=J;c[I>>2]=-1;c[d+(w*72|0)+44>>2]=k;c[d+((c[s>>2]|0)*72|0)+48>>2]=x;p=w;n=J}else{c[d+(w*72|0)+44>>2]=-1;X=d+(w*72|0)+40|0;c[X>>2]=c[I>>2];n=c[s>>2]|0;c[I>>2]=n;c[s>>2]=k;c[d+(k*72|0)+48>>2]=x;p=x;k=c[X>>2]|0}c[d+(n*72|0)+48>>2]=p;c[d+(k*72|0)+48>>2]=w;c[d+(w*72|0)+60>>2]=0;c[r>>2]=0}else G=51;while(0);do if((G|0)==51){G=0;n=d+(k*72|0)+48|0;p=c[n>>2]|0;k=d+(k*72|0)+52|0;if((p|0)>0?(c[k>>2]|0)>0:0){k=c[d+(p*72|0)+4>>2]|0;if((k|0)>0?(ZG(k,b,U)|0)==0:0){c[d+(w*72|0)+44>>2]=-1;c[d+(x*72|0)+44>>2]=-1;c[s>>2]=-1;c[d+((c[d+(w*72|0)+40>>2]|0)*72|0)+52>>2]=w;break}c[d+(x*72|0)+44>>2]=-1;c[d+(w*72|0)+44>>2]=-1;c[d+(w*72|0)+40>>2]=-1;c[d+((c[s>>2]|0)*72|0)+48>>2]=x;break}c[n>>2]=x;c[k>>2]=w}while(0);if(+B(+(+h[u>>3]-+h[E>>3]))<=1.0e-07?C&+B(+(+h[v>>3]-+h[D>>3]))<=1.0e-07:0){k=c[y>>2]|0;if((k|0)>0?(ZG(k,b,S)|0)!=0:0){c[d+((c[t>>2]|0)*72|0)+40>>2]=x;m=d+(w*72|0)+52|0;k=w}else{c[d+((c[d+(w*72|0)+48>>2]|0)*72|0)+44>>2]=w;k=x}c[m>>2]=-1;c[d+(k*72|0)+48>>2]=-1;k=c[t>>2]|0;break}k=c[t>>2]|0;m=d+(k*72|0)+40|0;n=c[m>>2]|0;p=d+(k*72|0)+44|0;if((n|0)>0?(K=c[p>>2]|0,L=(n|0)==(x|0),(K|0)>0):0){c[d+(k*72|0)+60>>2]=L?K:n;c[d+(k*72|0)+64>>2]=L?1:2}c[m>>2]=x;c[p>>2]=w}while(0);c[A>>2]=a;c[d+(x*72|0)+4>>2]=a;if((k|0)>0)x=k;else break a}XL(123235,19,1,c[13918]|0)|0}else{g=0;f=0}while(0);dH(a,F,o,1,d,e);dH(a,g,f,2,d,e);c[b+(a*56|0)+32>>2]=1;l=W;return}function XG(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;if(!(c[b+(a*56|0)+32>>2]|0)){f=b+(a*56|0)|0;g=b+(a*56|0)+16|0;h=b+(a*56|0)+36|0;c[h>>2]=c[d+((YG(f,g,c[h>>2]|0,b,e)|0)*72|0)+56>>2];a=b+(a*56|0)+40|0;c[a>>2]=c[d+((YG(g,f,c[a>>2]|0,b,e)|0)*72|0)+56>>2]}return}function YG(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0.0,i=0,j=0.0,k=0.0,l=0.0,m=0.0,n=0.0,o=0,p=0.0,q=0,r=0;o=a+8|0;q=b+8|0;a:while(1){b:do switch(c[f+(d*40|0)>>2]|0){case 3:{r=3;break a}case 2:{g=+h[o>>3];i=f+(d*40|0)+8|0;j=+h[f+(d*40|0)+16>>3];k=j+1.0e-07;do if(!(g>k)){l=j+-1.0e-07;if(!(g<l)?+h[a>>3]>+h[i>>3]:0)break;if(+B(+(g-j))<=1.0e-07?(m=+h[i>>3],+B(+(+h[a>>3]-m))<=1.0e-07):0){g=+h[q>>3];do if(!(g>k)){if(!(g<l)?+h[b>>3]>m:0)break;d=f+(d*40|0)+32|0;break b}while(0);d=f+(d*40|0)+36|0;break b}d=f+(d*40|0)+32|0;break b}while(0);d=f+(d*40|0)+36|0;break}case 1:{g=+h[o>>3];i=c[f+(d*40|0)+4>>2]|0;if(+B(+(g-+h[e+(i*56|0)+8>>3]))<=1.0e-07?(n=+h[a>>3],+B(+(n-+h[e+(i*56|0)>>3]))<=1.0e-07):0)j=n;else r=19;do if((r|0)==19){r=0;if(+B(+(g-+h[e+(i*56|0)+24>>3]))<=1.0e-07?(p=+h[a>>3],+B(+(p-+h[e+(i*56|0)+16>>3]))<=1.0e-07):0){j=p;break}if(!(ZG(i,e,a)|0)){d=f+(d*40|0)+36|0;break b}else{d=f+(d*40|0)+32|0;break b}}while(0);if(!(+B(+(g-+h[q>>3]))<=1.0e-07))if(!(ZG(i,e,b)|0)){d=f+(d*40|0)+36|0;break b}else{d=f+(d*40|0)+32|0;break b}else if(+h[b>>3]<j){d=f+(d*40|0)+32|0;break b}else{d=f+(d*40|0)+36|0;break b}}default:{r=31;break a}}while(0);d=c[d>>2]|0}if((r|0)==3)return c[f+(d*40|0)+24>>2]|0;else if((r|0)==31){XL(123169,35,1,c[13918]|0)|0;ma(123205,123207,349,123219)}return 0}function ZG(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0,f=0,g=0.0,i=0,j=0,k=0.0;f=b+(a*56|0)+16|0;g=+h[b+(a*56|0)+24>>3];i=b+(a*56|0)|0;e=+h[b+(a*56|0)+8>>3];do if(!(g>e+1.0e-07)){if(!(g<e+-1.0e-07)?+h[f>>3]>+h[i>>3]:0){j=4;break}d=+h[c+8>>3];if(+B(+(g-d))<=1.0e-07){d=+h[c>>3]<+h[f>>3]?1.0:-1.0;break}if(!(+B(+(e-d))<=1.0e-07)){k=+h[f>>3];d=(+h[i>>3]-k)*(d-g)-(+h[c>>3]-k)*(e-g);break}else{d=+h[c>>3]<+h[i>>3]?1.0:-1.0;break}}else j=4;while(0);do if((j|0)==4){d=+h[c+8>>3];if(+B(+(g-d))<=1.0e-07){d=+h[c>>3]<+h[f>>3]?1.0:-1.0;break}if(!(+B(+(e-d))<=1.0e-07)){k=+h[i>>3];d=(+h[f>>3]-k)*(d-e)-(+h[c>>3]-k)*(g-e);break}else{d=+h[c>>3]<+h[i>>3]?1.0:-1.0;break}}while(0);return d>0.0|0}function _G(a,b,d){a=a|0;b=b|0;d=d|0;return c[b+((c[((d|0)==1?b+(a*56|0)+48|0:b+(a*56|0)+44|0)>>2]|0)*56|0)+32>>2]|0}function $G(a){a=a|0;var b=0,d=0,e=0;e=l;l=l+16|0;d=e;b=c[42438]|0;if((b|0)<(c[42437]|0)){c[a+(b*72|0)>>2]=-1;c[a+(b*72|0)+4>>2]=-1;c[a+(b*72|0)+68>>2]=1;c[42438]=b+1;l=e;return b|0}else{e=c[13918]|0;c[d>>2]=b;zL(e,123294,d)|0;ma(123205,123207,88,123332)}return 0}function aH(){var a=0;a=c[42439]|0;if((a|0)<(c[42436]|0)){c[42439]=a+1;return a|0}else{XL(123255,30,1,c[13918]|0)|0;ma(123205,123207,72,123286)}return 0}function bH(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;c=+h[a+8>>3];d=+h[b+8>>3];if(!(c>d+1.0e-07))if(c<d+-1.0e-07)a=0;else a=+h[a>>3]>=+h[b>>3]&1;else a=1;return a|0}function cH(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;c=+h[a+8>>3];d=+h[b+8>>3];if(!(c<d+-1.0e-07))if(c>d+1.0e-07)a=0;else a=+h[a>>3]<+h[b>>3]&1;else a=1;return a|0}function dH(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0;q=f+(d*72|0)+24|0;p=(e|0)==1;a:while(1){o=f+(b*72|0)+24|0;j=f+(b*72|0)+48|0;k=f+(b*72|0)+52|0;l=f+(b*72|0)|0;m=f+(b*72|0)+4|0;n=f+(b*72|0)+56|0;if((b|0)<=0)break;while(1){if(!(bH(o,q)|0))break a;d=c[j>>2]|0;e=(d|0)>0;do if(p){if(e?(c[f+(d*72|0)+4>>2]|0)==(a|0):0)break;d=c[k>>2]|0;if((d|0)<=0){b=d;continue a}if((c[f+(d*72|0)+4>>2]|0)!=(a|0)){b=d;continue a}}else{if(e?(c[f+(d*72|0)>>2]|0)==(a|0):0)break;d=c[k>>2]|0;if((d|0)<=0){b=d;continue a}if((c[f+(d*72|0)>>2]|0)!=(a|0)){b=d;continue a}}while(0);if((c[l>>2]|0)!=(c[f+(d*72|0)>>2]|0)){b=d;continue a}if((c[m>>2]|0)!=(c[f+(d*72|0)+4>>2]|0)){b=d;continue a}r=c[f+(d*72|0)+56>>2]|0;e=c[g+(r*40|0)+28>>2]|0;h=g+(e*40|0)+32|0;i=c[n>>2]|0;if((c[h>>2]|0)==(r|0))c[h>>2]=i;else c[g+(e*40|0)+36>>2]=i;e=c[f+(d*72|0)+48>>2]|0;c[j>>2]=e;do if((e|0)>0){h=f+(e*72|0)+40|0;if((c[h>>2]|0)==(d|0)){c[h>>2]=b;break}e=f+(e*72|0)+44|0;if((c[e>>2]|0)==(d|0))c[e>>2]=b}while(0);e=c[f+(d*72|0)+52>>2]|0;c[k>>2]=e;do if((e|0)>0){h=f+(e*72|0)+40|0;if((c[h>>2]|0)==(d|0)){c[h>>2]=b;break}e=f+(e*72|0)+44|0;if((c[e>>2]|0)==(d|0))c[e>>2]=b}while(0);r=f+(d*72|0)+24|0;c[o>>2]=c[r>>2];c[o+4>>2]=c[r+4>>2];c[o+8>>2]=c[r+8>>2];c[o+12>>2]=c[r+12>>2];c[f+(d*72|0)+68>>2]=2}}return}function eH(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0.0;e=+h[b+8>>3];f=+h[d+8>>3];do if(!(e>f+1.0e-07)){if(!(+B(+(e-f))<=1.0e-07)){c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];break}if(+h[b>>3]>+h[d>>3]+1.0e-07){c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];break}else{c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];break}}else{c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2]}while(0);return}function fH(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0.0;e=+h[b+8>>3];f=+h[d+8>>3];do if(!(e<f+-1.0e-07)){if(!(+B(+(e-f))<=1.0e-07)){c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];break}if(+h[b>>3]<+h[d>>3]){c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];break}else{c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];break}}else{c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2]}while(0);return}function gH(a){a=a|0;var b=0;b=vw(8)|0;if(b|0){c[b+4>>2]=a;c[b>>2]=0}return b|0}function hH(a,b){a=a|0;b=b|0;if(b){b=gH(b)|0;c[b>>2]=a;a=b}return a|0}function iH(a){a=a|0;var b=0;do{b=a;a=c[a>>2]|0;_I(b)}while((a|0)!=0);return}function jH(){var a=0;a=vw(1992)|0;if(a|0)c[a>>2]=kH(a)|0;return a|0}function kH(a){a=a|0;var b=0;b=qH(a)|0;c[b+4>>2]=0;a=a+1972|0;c[a>>2]=(c[a>>2]|0)+1;return b|0}function lH(a){a=a|0;mH(a,c[a>>2]|0);_I(c[a>>2]|0);_I(a);return 0}function mH(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;g=a+1980|0;h=a+1912|0;i=a+1936|0;a:do if((c[b+4>>2]|0)>0){d=0;while(1){if((d|0)==64)break a;e=b+8+(d*20|0)+16|0;f=c[e>>2]|0;if(f|0?(mH(a,f),_I(c[e>>2]|0),wH(b,d),c[g>>2]=(c[g>>2]|0)+-1,c[h>>2]|0):0)c[i>>2]=(c[i>>2]|0)+1;d=d+1|0}}else{d=0;while(1){if((d|0)==64)break a;if(c[b+8+(d*20|0)+16>>2]|0?(wH(b,d),c[g>>2]=(c[g>>2]|0)+-1,c[h>>2]|0):0)c[i>>2]=(c[i>>2]|0)+1;d=d+1|0}}while(0);return}function nH(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;if(!b)ma(123690,123340,194,123348);e=c[b+4>>2]|0;if((e|0)<=-1)ma(123360,123340,195,123348);if(!d)ma(123632,123340,196,123348);i=a+1952|0;c[i>>2]=(c[i>>2]|0)+1;a:do if((e|0)>0){i=0;e=0;while(1){if((i|0)==64)break a;f=b+8+(i*20|0)+16|0;if((c[f>>2]|0)!=0?(BH(d,b+8+(i*20|0)|0)|0)!=0:0){g=nH(a,c[f>>2]|0,d)|0;if(!e)e=g;else{f=e;while(1){h=c[f>>2]|0;if(!h)break;else f=h}c[f>>2]=g}}i=i+1|0}}else{g=0;e=0;while(1){if((g|0)==64)break a;f=b+8+(g*20|0)|0;if((c[b+8+(g*20|0)+16>>2]|0)!=0?(BH(d,f)|0)!=0:0)e=hH(e,f)|0;g=g+1|0}}while(0);return e|0}function oH(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;p=l;l=l+64|0;k=p+52|0;m=p+32|0;n=p+16|0;o=p;c[k>>2]=0;if(!((b|0)!=0&(e|0)!=0))ma(123546,123340,247,123374);if((f|0)>-1?(j=c[e>>2]|0,(c[j+4>>2]|0)>=(f|0)):0){g=0;while(1){if((g|0)>=2)break;if((c[b+(g<<2)>>2]|0)>(c[b+(g+2<<2)>>2]|0)){h=8;break}else g=g+1|0}if((h|0)==8)ma(123421,123340,250,123374);i=a+1912|0;g=a+1908|0;h=c[g>>2]|0;if(c[i>>2]|0){q=h|0?a+1924|0:a+1916|0;c[q>>2]=(c[q>>2]|0)+1}if(!h){q=a+1964|0;c[q>>2]=(c[q>>2]|0)+1}if(!(pH(a,b,d,j,k,f)|0))g=0;else{if(c[i>>2]|0){q=c[g>>2]|0?a+1948|0:a+1944|0;c[q>>2]=(c[q>>2]|0)+1}g=qH(a)|0;q=a+1976|0;c[q>>2]=(c[q>>2]|0)+1;q=c[e>>2]|0;c[g+4>>2]=(c[q+4>>2]|0)+1;tH(n,q);c[m>>2]=c[n>>2];c[m+4>>2]=c[n+4>>2];c[m+8>>2]=c[n+8>>2];c[m+12>>2]=c[n+12>>2];q=m+16|0;c[q>>2]=c[e>>2];vH(a,m,g,0)|0;tH(o,c[k>>2]|0);c[m>>2]=c[o>>2];c[m+4>>2]=c[o+4>>2];c[m+8>>2]=c[o+8>>2];c[m+12>>2]=c[o+12>>2];c[q>>2]=c[k>>2];vH(a,m,g,0)|0;c[e>>2]=g;g=a+1980|0;c[g>>2]=(c[g>>2]|0)+2;g=1}l=p;return g|0}ma(123386,123340,248,123374);return 0}function pH(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;q=l;l=l+80|0;m=q+52|0;n=q+48|0;o=q+32|0;p=q+16|0;k=q;c[n>>2]=0;if(!((b|0)!=0&(e|0)!=0&(f|0)!=0))ma(123464,123340,311,123478);if((g|0)>-1?(i=e+4|0,h=c[i>>2]|0,(h|0)>=(g|0)):0){if(c[a+1912>>2]|0){h=c[a+1908>>2]|0?a+1948|0:a+1944|0;c[h>>2]=(c[h>>2]|0)+1;h=c[i>>2]|0}do if((h|0)>(g|0)){i=uH(b,e)|0;h=e+8+(i*20|0)+16|0;i=e+8+(i*20|0)|0;if(!(pH(a,b,d,c[h>>2]|0,n,g)|0)){AH(o,b,i);c[i>>2]=c[o>>2];c[i+4>>2]=c[o+4>>2];c[i+8>>2]=c[o+8>>2];c[i+12>>2]=c[o+12>>2];j=0;break}else{tH(p,c[h>>2]|0);c[i>>2]=c[p>>2];c[i+4>>2]=c[p+4>>2];c[i+8>>2]=c[p+8>>2];c[i+12>>2]=c[p+12>>2];j=c[n>>2]|0;c[m+16>>2]=j;tH(k,j);c[m>>2]=c[k>>2];c[m+4>>2]=c[k+4>>2];c[m+8>>2]=c[k+8>>2];c[m+12>>2]=c[k+12>>2];j=a+1980|0;c[j>>2]=(c[j>>2]|0)+1;j=vH(a,m,e,f)|0;break}}else if((h|0)==(g|0)){c[m>>2]=c[b>>2];c[m+4>>2]=c[b+4>>2];c[m+8>>2]=c[b+8>>2];c[m+12>>2]=c[b+12>>2];c[m+16>>2]=d;j=a+1980|0;c[j>>2]=(c[j>>2]|0)+1;j=vH(a,m,e,f)|0;break}else ma(123523,123340,341,123478);while(0);l=q;return j|0}ma(123491,123340,312,123478);return 0}function qH(a){a=a|0;a=a+1968|0;c[a>>2]=(c[a>>2]|0)+1;a=ZI(1288)|0;rH(a);return a|0}function rH(a){a=a|0;var b=0;c[a>>2]=0;c[a+4>>2]=-1;b=0;while(1){if((b|0)==64)break;sH(a+8+(b*20|0)|0);b=b+1|0}return}function sH(a){a=a|0;xH(a);c[a+16>>2]=0;return}function tH(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+32|0;g=i+16|0;h=i;if(!b)ma(123690,123529,99,123536);xH(g);d=1;f=0;while(1){if((f|0)==64)break;do if(c[b+8+(f*20|0)+16>>2]|0){e=b+8+(f*20|0)|0;if(!d){AH(h,g,e);c[g>>2]=c[h>>2];c[g+4>>2]=c[h+4>>2];c[g+8>>2]=c[h+8>>2];c[g+12>>2]=c[h+12>>2];d=0;break}else{c[g>>2]=c[e>>2];c[g+4>>2]=c[e+4>>2];c[g+8>>2]=c[e+8>>2];c[g+12>>2]=c[e+12>>2];d=0;break}}while(0);f=f+1|0}c[a>>2]=c[g>>2];c[a+4>>2]=c[g+4>>2];c[a+8>>2]=c[g+8>>2];c[a+12>>2]=c[g+12>>2];l=i;return}function uH(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;k=l;l=l+32|0;i=k+16|0;j=k;if(!((a|0)!=0&(b|0)!=0))ma(123546,123529,125,123553);d=0;e=0;f=0;g=1;h=0;while(1){if((h|0)==64)break;if(c[b+8+(h*20|0)+16>>2]|0){n=b+8+(h*20|0)|0;p=zH(n)|0;AH(j,a,n);c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];c[i+8>>2]=c[j+8>>2];c[i+12>>2]=c[j+12>>2];n=(zH(i)|0)-p|0;m=(g|0)!=0|(n|0)<(f|0);o=m|(p|0)<(e|0)&(n|0)==(f|0);d=o?h:d;e=o?p:e;f=o?n:f;g=m?0:g}h=h+1|0}l=k;return d|0}function vH(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;if(!b)ma(123712,123529,167,123564);if(!d)ma(123690,123529,168,123564);do if((c[d>>2]|0)<64){a=0;while(1){if((a|0)>=64){e=10;break}if(!(c[d+8+(a*20|0)+16>>2]|0)){e=8;break}a=a+1|0}if((e|0)==8){f=d+8+(a*20|0)|0;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];c[f+16>>2]=c[b+16>>2];f=0;g=d;break}else if((e|0)==10)ma(123574,123529,178,123564)}else{if(c[a+1912>>2]|0){h=c[a+1908>>2]|0?a+1948|0:a+1944|0;c[h>>2]=(c[h>>2]|0)+1}if(!e)ma(123587,123529,187,123564);else{CH(a,d,b,e);f=1;g=(c[d+4>>2]|0)==0?a+1972|0:a+1976|0;break}}while(0);c[g>>2]=(c[g>>2]|0)+1;return f|0}function wH(a,b){a=a|0;b=b|0;if(!((a|0)!=0&b>>>0<64))ma(123591,123529,201,123619);if(!(c[a+8+(b*20|0)+16>>2]|0))ma(124113,123529,202,123619);else{sH(a+8+(b*20|0)|0);c[a>>2]=(c[a>>2]|0)+-1;return}}function xH(a){a=a|0;var b=0;b=0;while(1){if((b|0)==4)break;c[a+(b<<2)>>2]=0;b=b+1|0}return}function yH(a){a=a|0;var b=0,d=0,e=0;e=l;l=l+16|0;d=e;c[d>>2]=1;c[d+8>>2]=-1;b=1;while(1){if((b|0)==2)break;c[d+(b+2<<2)>>2]=0;c[d+(b<<2)>>2]=0;b=b+1|0}c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];l=e;return}function zH(a){a=a|0;var b=0,d=0,e=0;if(!a)ma(123632,123634,128,123646);a:do if((c[a>>2]|0)>(c[a+8>>2]|0))b=0;else{b=1;d=0;while(1){if((d|0)==2)break a;e=O(c[a+(d+2<<2)>>2]|0,b)|0;b=e-(c[a+(d<<2)>>2]|0)|0;d=d+1|0}}while(0);return b|0}function AH(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0;g=l;l=l+16|0;f=g;if(!((b|0)!=0&(d|0)!=0))ma(123655,123634,195,123663);do if((c[b>>2]|0)>(c[b+8>>2]|0)){c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2]}else{if((c[d>>2]|0)>(c[d+8>>2]|0)){c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];break}else e=0;while(1){if((e|0)==2)break;j=c[b+(e<<2)>>2]|0;h=c[d+(e<<2)>>2]|0;c[f+(e<<2)>>2]=(j|0)<(h|0)?j:h;h=e+2|0;j=c[b+(h<<2)>>2]|0;i=c[d+(h<<2)>>2]|0;c[f+(h<<2)>>2]=(j|0)>(i|0)?j:i;e=e+1|0}c[a>>2]=c[f>>2];c[a+4>>2]=c[f+4>>2];c[a+8>>2]=c[f+8>>2];c[a+12>>2]=c[f+12>>2]}while(0);l=g;return}function BH(a,b){a=a|0;b=b|0;var d=0,e=0;if((a|0)!=0&(b|0)!=0)d=0;else ma(123675,123634,216,123682);while(1){if((d|0)>=2){d=1;break}e=d+2|0;if((c[a+(d<<2)>>2]|0)>(c[b+(e<<2)>>2]|0)){d=0;break}if((c[b+(d<<2)>>2]|0)>(c[a+(e<<2)>>2]|0)){d=0;break}else d=d+1|0}return d|0}function CH(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,h=0,i=0,j=0;if(!b)ma(123690,123692,40,123702);if(!d)ma(123712,123692,41,123702);j=a+1912|0;if(c[j>>2]|0){i=c[a+1908>>2]|0?a+1932|0:a+1928|0;c[i>>2]=(c[i>>2]|0)+1}h=b+4|0;i=c[h>>2]|0;DH(a,b,d);d=a+1324|0;EH(a);f=zH(a+1852|0)|0;f=(zH(a+1868|0)|0)+f|0;if(c[j>>2]|0?(f|0)!=0&(c[a+1908>>2]|0)==0:0){j=a+1960|0;g[j>>2]=+((c[a+1320>>2]|0)>>>0)/+(f|0)+ +g[j>>2]}j=qH(a)|0;c[e>>2]=j;c[h>>2]=i;c[j+4>>2]=i;FH(a,b,j,d);if(((c[c[e>>2]>>2]|0)+(c[b>>2]|0)|0)==65)return;else ma(123714,123692,86,123702)}function DH(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0;h=l;l=l+16|0;g=h;if(!b)ma(123690,123692,106,124101);if(!d)ma(123712,123692,107,124101);else e=0;while(1){if((e|0)>=64)break;if(!(c[b+8+(e*20|0)+16>>2]|0)){f=7;break}j=b+8+(e*20|0)|0;i=a+4+(e*20|0)|0;c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];c[i+8>>2]=c[j+8>>2];c[i+12>>2]=c[j+12>>2];c[i+16>>2]=c[j+16>>2];e=e+1|0}if((f|0)==7)ma(124113,123692,111,124101);e=a+4|0;j=a+1284|0;c[j>>2]=c[d>>2];c[j+4>>2]=c[d+4>>2];c[j+8>>2]=c[d+8>>2];c[j+12>>2]=c[d+12>>2];c[j+16>>2]=c[d+16>>2];d=a+1304|0;c[d>>2]=c[e>>2];c[d+4>>2]=c[e+4>>2];c[d+8>>2]=c[e+8>>2];c[d+12>>2]=c[e+12>>2];e=1;while(1){if((e|0)==65)break;AH(g,d,a+4+(e*20|0)|0);c[d>>2]=c[g>>2];c[d+4>>2]=c[g+4>>2];c[d+8>>2]=c[g+8>>2];c[d+12>>2]=c[g+12>>2];e=e+1|0}c[a+1320>>2]=zH(d)|0;rH(b);l=h;return}function EH(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0;u=l;l=l+48|0;i=u+32|0;k=u+16|0;m=u;GH(a);HH(a);q=a+1844|0;s=a+1848|0;t=a+1892|0;n=a+1852|0;o=a+1884|0;p=a+1868|0;j=a+1888|0;f=0;e=0;while(1){d=c[q>>2]|0;b=c[s>>2]|0;if((b+d|0)>=65)break;h=65-(c[t>>2]|0)|0;if((d|0)<(h|0)&(b|0)<(h|0)){g=-1;h=0}else{r=12;break}while(1){if((h|0)==65)break;if(!(c[a+1584+(h<<2)>>2]|0)){v=a+4+(h*20|0)|0;AH(k,v,n);c[i>>2]=c[k>>2];c[i+4>>2]=c[k+4>>2];c[i+8>>2]=c[k+8>>2];c[i+12>>2]=c[k+12>>2];b=zH(i)|0;d=c[o>>2]|0;AH(m,v,p);c[i>>2]=c[m>>2];c[i+4>>2]=c[m+4>>2];c[i+8>>2]=c[m+8>>2];c[i+12>>2]=c[m+12>>2];v=zH(i)|0;b=v-(c[j>>2]|0)+(d-b)|0;d=(b|0)>-1;b=d?b:0-b|0;d=(d^1)&1;if((b|0)<=(g|0))if((b|0)==(g|0)){v=(c[a+1844+(d<<2)>>2]|0)<(c[a+1844+(f<<2)>>2]|0);b=g;d=v?d:f;e=v?h:e}else{b=g;d=f}else e=h}else{b=g;d=f}g=b;h=h+1|0;f=d}IH(a,e,f)}if((r|0)==12){b=(d|0)>=(65-(c[t>>2]|0)|0)&1;d=0;while(1){if((d|0)==65)break;if(!(c[a+1584+(d<<2)>>2]|0))IH(a,d,b);d=d+1|0}d=c[q>>2]|0;b=c[s>>2]|0}if((b+d|0)!=65)ma(123857,123692,210,123943);v=c[t>>2]|0;if((d|0)<(v|0)|(b|0)<(v|0))ma(123954,123692,212,123943);else{l=u;return}}function FH(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;if(!b)ma(123690,123692,297,123754);if(!d)ma(123764,123692,298,123754);if(!e)ma(123766,123692,299,123754);else f=0;while(1){if((f|0)>=65){e=14;break}e=c[a+1324+(f<<2)>>2]|0;if(e>>>0>=2){e=9;break}switch(e|0){case 0:{vH(a,a+4+(f*20|0)|0,b,0)|0;break}case 1:{vH(a,a+4+(f*20|0)|0,d,0)|0;break}default:{}}f=f+1|0}if((e|0)==9)ma(123768,123692,303,123754);else if((e|0)==14)return}function GH(a){a=a|0;var b=0,d=0,e=0,f=0;d=l;l=l+16|0;e=d;c[a+1848>>2]=0;c[a+1844>>2]=0;b=a+1852|0;f=a+1868|0;yH(e);c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];c[f+8>>2]=c[e+8>>2];c[f+12>>2]=c[e+12>>2];c[b>>2]=c[e>>2];c[b+4>>2]=c[e+4>>2];c[b+8>>2]=c[e+8>>2];c[b+12>>2]=c[e+12>>2];c[a+1888>>2]=0;c[a+1884>>2]=0;b=0;while(1){if((b|0)==65)break;c[a+1584+(b<<2)>>2]=0;c[a+1324+(b<<2)>>2]=-1;b=b+1|0}l=d;return}function HH(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0;o=l;l=l+304|0;k=o+32|0;m=o+16|0;n=o;b=0;while(1){if((b|0)==65)break;c[k+(b<<2)>>2]=zH(a+4+(b*20|0)|0)|0;b=b+1|0}b=0;d=0;e=0;g=0;a:while(1){if((g|0)==64)break;i=g+1|0;j=a+4+(g*20|0)|0;h=k+(g<<2)|0;f=i;while(1){if((f|0)==65){g=i;continue a}AH(n,j,a+4+(f*20|0)|0);c[m>>2]=c[n>>2];c[m+4>>2]=c[n+4>>2];c[m+8>>2]=c[n+8>>2];c[m+12>>2]=c[n+12>>2];p=zH(m)|0;p=p-(c[h>>2]|0)-(c[k+(f<<2)>>2]|0)|0;q=p>>>0>e>>>0;r=q?f:b;f=f+1|0;b=r;d=q?g:d;e=q?p:e}}IH(a,d,0);IH(a,b,1);l=o;return}function IH(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;h=i;e=a+1584+(b<<2)|0;if(c[e>>2]|0)ma(124057,123692,257,124092);c[a+1324+(b<<2)>>2]=d;c[e>>2]=1;g=a+1844+(d<<2)|0;f=a+1852+(d<<4)|0;e=a+4+(b*20|0)|0;if(!(c[g>>2]|0)){c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];c[f+8>>2]=c[e+8>>2];c[f+12>>2]=c[e+12>>2]}else{AH(h,e,f);c[f>>2]=c[h>>2];c[f+4>>2]=c[h+4>>2];c[f+8>>2]=c[h+8>>2];c[f+12>>2]=c[h+12>>2]}c[a+1884+(d<<2)>>2]=zH(f)|0;c[g>>2]=(c[g>>2]|0)+1;l=i;return}function JH(){var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;t=l;l=l+1200|0;r=t+800|0;g=t;c[42440]=0;c[42441]=-2;f=r;i=200;n=g;p=0;q=0;o=r;a:while(1){b[o>>1]=p;if((f+(i<<1)+-2|0)>>>0>o>>>0)k=i;else{m=o-f>>1;e=m+1|0;if(i>>>0>9999){s=95;break}k=i<<1;k=k>>>0<1e4?k:1e4;h=ZI(k*6|3)|0;if(h){TN(h|0,f|0,e<<1|0)|0;i=h+(k>>>1<<2)|0;TN(i|0,n|0,e<<2|0)|0;if((f|0)==(r|0)){e=0;f=h}else{_I(f);e=0;f=h}}else{e=4;i=n}j=(e|0)==0;h=f+(m<<1)|0;switch((j?((f+(k<<1)+-2|0)>>>0>h>>>0?0:9):e)&15){case 9:{e=1;s=96;break a}case 4:{s=95;break a}case 0:{g=j?i+(m<<2)|0:g;n=i;o=j?h:o;break}default:{e=0;break a}}}if((p|0)==31){e=0;s=96;break}e=b[58358+(p<<1)>>1]|0;j=e<<16>>16;do if(e<<16>>16!=-82){h=c[42441]|0;if((h|0)==-2){h=gI()|0;c[42441]=h}if((h|0)>=1)if(h>>>0<296)i=d[124132+h>>0]|0;else i=2;else{c[42441]=0;i=0}h=i+j|0;if(h>>>0<=271?(i|0)==(a[124428+h>>0]|0):0){p=a[124700+h>>0]|0;e=p<<24>>24;if(p<<24>>24<1){h=0-e|0;s=23;break}else{c[42441]=-2;g=g+4|0;c[g>>2]=0;j=(q|0)==0?0:q+-1|0;h=o;break}}else s=22}else s=22;while(0);if((s|0)==22){s=0;p=a[124972+p>>0]|0;h=p&255;if(!(p<<24>>24)){h=c[42441]|0;b:do switch(q|0){case 0:{c[42440]=(c[42440]|0)+1;cI(125369);h=o;break}case 3:if((h|0)<1)if(!h){e=1;s=96;break a}else{h=o;break b}else{c[42441]=-2;h=o;break b}default:h=o}while(0);while(1){if(e<<16>>16==8)break;if((h|0)==(f|0)){e=1;s=96;break a}e=h+-2|0;g=g+-4|0;h=e;e=b[58358+(b[e>>1]<<1)>>1]|0}g=g+4|0;c[g>>2]=0;e=1;j=3}else s=23}do if((s|0)==23){s=0;j=d[125088+h>>0]|0;e=c[g+(1-j<<2)>>2]|0;do switch(h|0){case 4:{s=26;break a}case 2:{c[42442]=KH(c[g+-4>>2]|0,2)|0;break}case 3:{c[42442]=KH(c[g+-4>>2]|0,1)|0;break}case 5:{e=MH()|0;break}case 8:{NH(c[42443]|0);break}case 9:{OH(c[g>>2]|0);break}case 18:{PH(c[g>>2]|0);break}case 19:{QH();break}case 20:{PH(c[g>>2]|0);break}case 21:{QH();break}case 22:{PH(c[g>>2]|0);break}case 23:{QH();break}case 24:{PH(c[g>>2]|0);break}case 25:{QH();break}case 26:{PH(c[g>>2]|0);break}case 27:{QH();break}case 28:{PH(c[g>>2]|0);break}case 29:{QH();break}case 30:{PH(c[g>>2]|0);break}case 31:{QH();break}case 32:{PH(c[g>>2]|0);break}case 33:{QH();break}case 34:{e=c[g+-4>>2]|0;break}case 35:{e=c[g>>2]|0;break}case 38:{e=c[42443]|0;i=c[e+4>>2]|0;if(i>>>0>=(c[e+8>>2]|0)>>>0){dm(e,1)|0;i=c[42443]|0;e=i;i=c[i+4>>2]|0}a[i>>0]=0;p=c[e>>2]|0;c[e+4>>2]=p;if(RH(p)|0){s=51;break a}c[(c[g>>2]|0)+80>>2]=c[42444];e=Ql(55016,c[4344]|0)|0;c[(c[g>>2]|0)+84>>2]=e;c[42444]=c[g>>2];c[(c[g>>2]|0)+108>>2]=c[c[42445]>>2];e=c[g>>2]|0;break}case 39:{e=c[42443]|0;i=c[e+4>>2]|0;if(i>>>0>=(c[e+8>>2]|0)>>>0){dm(e,1)|0;i=c[42443]|0;e=i;i=c[i+4>>2]|0}a[i>>0]=0;p=c[e>>2]|0;c[e+4>>2]=p;if(RH(p)|0){s=56;break a}e=c[42444]|0;c[42444]=c[e+80>>2];break}case 40:{e=c[g>>2]|0;break}case 41:{e=c[g+-4>>2]|0;break}case 42:{e=c[g+-4>>2]|0;break}case 43:{e=c[g+-4>>2]|0;break}case 44:{e=c[g+-4>>2]|0;break}case 45:{e=c[g+-4>>2]|0;break}case 48:{e=c[g>>2]|0;break}case 49:{e=c[g>>2]|0;break}case 50:{a[(c[g+-8>>2]|0)+12>>0]=1;e=c[g>>2]|0;break}case 51:{SH();break}case 52:{e=TH()|0;break}case 53:{e=c[g>>2]|0;break}case 54:{e=c[g>>2]|0;break}case 55:{e=(c[g+-8>>2]|0)+100|0;a[e>>0]=a[e>>0]|1;e=c[g>>2]|0;break}case 56:{UH(c[g+-4>>2]|0,c[g>>2]|0,1);break}case 57:{e=c[g+-12>>2]|0;break}case 58:{UH(c[g+-4>>2]|0,c[g>>2]|0,2);break}case 59:{e=c[g+-12>>2]|0;break}case 60:{UH(c[g+-4>>2]|0,c[g>>2]|0,3);break}case 61:{e=c[g+-12>>2]|0;break}case 62:{UH(c[g>>2]|0,MH()|0,2);break}case 63:{e=c[g+-8>>2]|0;break}case 64:{e=c[g+-4>>2]|0;break}case 65:{e=c[g>>2]|0;break}default:{}}while(0);i=0-j|0;p=g+(i<<2)|0;i=o+(i<<1)|0;g=p+4|0;c[p+4>>2]=e;e=(d[125260+h>>0]|0)+-41|0;p=b[i>>1]|0;h=p+(b[58590+(e<<1)>>1]|0)|0;if(h>>>0<272?(a[124428+h>>0]|0)==(p|0):0){e=a[124700+h>>0]|0;j=q;h=i;break}e=a[125330+e>>0]|0;j=q;h=i}while(0);i=k;p=e;q=j;o=h+2|0}if((s|0)==26){LH();e=1;s=96}else if((s|0)==51){cI(125158);LH();e=1;s=96}else if((s|0)==56){cI(125209);LH();e=1;s=96}else if((s|0)==95){cI(125382);e=2;s=96}if((s|0)==96)if((f|0)!=(r|0))_I(f);l=t;return e|0}function KH(b,d){b=b|0;d=d|0;var e=0;e=vw(8)|0;a[e+4>>0]=d;c[e>>2]=b;return e|0}function LH(){var a=0,b=0;a=c[42444]|0;b=c[42442]|0;if(b|0){EF(b,1);c[42442]=0}c[13767]=62;while(1){if(!a)break;b=c[a+80>>2]|0;YH(a);a=b}c[13767]=51;c[13776]=63;b=c[42447]|0;bb[c[b>>2]&31](b,0,64)|0;c[13776]=51;c[13785]=64;b=c[42448]|0;bb[c[b>>2]&31](b,0,64)|0;c[13785]=51;$H();return}function MH(){var a=0,d=0,e=0,f=0,g=0,h=0;e=c[42448]|0;f=vw(40)|0;if(Sl(c[42447]|0)|0)OH(0);a=Sl(e)|0;b[f+4>>1]=a;a:do if(!a)a=e;else{c[f>>2]=vw(a*24|0)|0;a=0;d=bb[c[e>>2]&31](e,0,128)|0;while(1){if(!d){a=e;break a}g=(c[f>>2]|0)+(a*24|0)|0;h=d+8|0;c[g>>2]=c[h>>2];c[g+4>>2]=c[h+4>>2];c[g+8>>2]=c[h+8>>2];c[g+12>>2]=c[h+12>>2];c[g+16>>2]=c[h+16>>2];c[g+20>>2]=c[h+20>>2];a=a+1|0;d=bb[c[e>>2]&31](e,d,8)|0}}while(0);bb[c[a>>2]&31](e,0,64)|0;return f|0}function NH(b){b=b|0;var d=0,e=0,f=0;e=vw(64)|0;f=b+4|0;d=c[f>>2]|0;if(d>>>0>=(c[b+8>>2]|0)>>>0){dm(b,1)|0;d=c[f>>2]|0}a[d>>0]=0;b=c[b>>2]|0;c[f>>2]=b;c[e+8>>2]=GL(b)|0;c[e+12>>2]=c[c[42445]>>2];f=c[42447]|0;bb[c[f>>2]&31](f,e,1)|0;return}function OH(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;i=vw(32)|0;j=c[42447]|0;e=Sl(j)|0;k=i+8|0;a[i+14>>0]=d;a:do if(!e){c[k>>2]=vw(56)|0;b[i+12>>1]=1;h=GL(174181)|0;k=c[k>>2]|0;c[k>>2]=h;c[k+4>>2]=c[c[42445]>>2]}else{b[i+12>>1]=e;c[k>>2]=vw(e*56|0)|0;d=0;e=Ol(j)|0;while(1){if(!e)break a;f=(c[k>>2]|0)+(d*56|0)|0;g=e+8|0;h=f+56|0;do{c[f>>2]=c[g>>2];f=f+4|0;g=g+4|0}while((f|0)<(h|0));d=d+1|0;e=c[e>>2]|0}}while(0);bb[c[j>>2]&31](j,0,64)|0;k=c[42448]|0;bb[c[k>>2]&31](k,i,1)|0;return}function PH(a){a=a|0;var b=0,d=0.0,e=0,f=0,g=0,i=0,j=0;j=l;l=l+32|0;g=j;i=vw(8)|0;f=c[c[42445]>>2]|0;c[g>>2]=c[a>>2];c[g+4>>2]=c[a+4>>2];c[g+8>>2]=c[a+8>>2];c[g+12>>2]=c[a+12>>2];c[g+16>>2]=c[a+16>>2];c[g+20>>2]=c[a+20>>2];c[g+24>>2]=c[a+24>>2];c[g+28>>2]=c[a+28>>2];if(f|0){a=g+4|0;if((c[a>>2]|0)==0?(b=c[f+4>>2]|0,b|0):0)c[a>>2]=b;a=g+16|0;if(+h[a>>3]<0.0?(d=+h[f+16>>3],d>=0.0):0)h[a>>3]=d;if((c[g>>2]|0)==0?(e=c[f>>2]|0,e|0):0)c[g>>2]=e;a=c[f+24>>2]&127;if(a|0){f=g+24|0;e=c[f>>2]|0;c[f>>2]=e&127|a|e&-128}}f=c[(c[42446]|0)+144>>2]|0;c[i>>2]=bb[c[f>>2]&31](f,g,1)|0;c[i+4>>2]=c[42445];c[42445]=i;l=j;return}function QH(){var a=0,b=0;b=c[42445]|0;a=c[b+4>>2]|0;_I(b);c[42445]=a;return}function RH(b){b=b|0;var c=0;while(1){c=a[b>>0]|0;if(!(c<<24>>24)){b=0;break}if(c<<24>>24==32)b=b+1|0;else{b=1;break}}return b|0}function SH(){var b=0,d=0,e=0;e=Ql(55052,c[4344]|0)|0;b=c[42444]|0;d=vw(16)|0;c[d+8>>2]=e;if(a[b+112>>0]&2)a[d+12>>0]=1;e=c[b+84>>2]|0;bb[c[e>>2]&31](e,d,1)|0;return}function TH(){var a=0;a=c[(c[42444]|0)+84>>2]|0;return bb[c[a>>2]&31](a,0,256)|0}function UH(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;g=vw(16)|0;f=c[42444]|0;h=c[f+84>>2]|0;h=c[(bb[c[h>>2]&31](h,0,256)|0)+8>>2]|0;c[g+8>>2]=b;bb[c[h>>2]&31](h,g,1)|0;a[b+92>>0]=e;if(a[f+112>>0]&1)a[b+100>>0]=1;c[b+88>>2]=d;return}function VH(a,b,c){a=a|0;b=b|0;c=c|0;_I(b);return}function WH(a,b,d){a=a|0;b=b|0;d=d|0;Kl(c[b+8>>2]|0)|0;_I(b);return}function XH(a,b,d){a=a|0;b=b|0;d=d|0;aI(c[b+8>>2]|0);_I(b);return}function YH(a){a=a|0;Kl(c[a+84>>2]|0)|0;BF(a);_I(a);return}function ZH(a,b,d){a=a|0;b=b|0;d=d|0;_I(c[b+8>>2]|0);_I(b);return}function _H(a,d,e){a=a|0;d=d|0;e=e|0;var f=0,g=0,h=0;g=d+12|0;a=b[g>>1]|0;if(a<<16>>16){h=d+8|0;e=0;f=c[h>>2]|0;while(1){if((e|0)>=(a<<16>>16|0))break;_I(c[f>>2]|0);e=e+1|0;f=f+56|0;a=b[g>>1]|0}_I(c[h>>2]|0)}_I(d);return}function $H(){var a=0,b=0;a=c[42445]|0;while(1){b=c[a+4>>2]|0;if(!b)break;_I(a);a=b}return}function aI(b){b=b|0;var d=0;d=b+88|0;switch(a[b+92>>0]|0){case 1:{YH(c[d>>2]|0);break}case 2:{CF(c[d>>2]|0);break}default:{}}BF(b);_I(b);return}function bI(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;f=l;l=l+160|0;e=f+8|0;g=f;c[g>>2]=0;c[g+4>>2]=0;c[42445]=g;c[42444]=0;c[42442]=0;c[42446]=c[(c[(c[d+52>>2]|0)+16>>2]|0)+144>>2];c[42447]=Ql(55088,c[4344]|0)|0;c[42448]=Ql(55124,c[4344]|0)|0;cm(e,128,f+24|0);c[42443]=e;if(!(eI(a,e,d)|0)){JH()|0;c[b>>2]=fI()|0;a=c[42442]|0}else{c[b>>2]=2;a=0}Kl(c[42447]|0)|0;Kl(c[42448]|0)|0;c[42447]=0;c[42448]=0;c[42445]=0;gm(e);l=f;return a|0}function cI(b){b=b|0;var d=0,e=0;e=l;l=l+16|0;d=e;if(!(a[169796]|0)){a[169796]=1;c[d>>2]=b;c[d+4>>2]=0;_l(1,125399,d)|0;dI()}else{l=e;return}}function dI(){Ta()}function eI(a,b,d){a=a|0;b=b|0;d=d|0;a=l;l=l+16|0;if(!(c[42450]|0)){_l(0,125415,a)|0;c[42450]=(c[42450]|0)+1}l=a;return 1}function fI(){return 1}function gI(){return -1}function hI(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+64|0;m=u+48|0;k=u+32|0;s=4;j=ZI(40)|0;c[j>>2]=0;n=u+16|0;q=u;r=c[d>>2]|0;i=c[d+4>>2]|0;s=RN(169804,1,j|0,s|0)|0;j=z;o=0;d=o;o=0;if((d|0)!=0&(p|0)!=0){g=SN(c[d>>2]|0,s|0,j|0)|0;if(!g)Ua(d|0,p|0);z=p}else g=-1;if((g|0)==1)d=z;else d=0;while(1){if(d|0){d=-1;break}o=0;c[m>>2]=c[e>>2];c[m+4>>2]=c[e+4>>2];c[m+8>>2]=c[e+8>>2];c[m+12>>2]=c[e+12>>2];ga(26,n|0,m|0);d=o;o=0;if((d|0)!=0&(p|0)!=0){g=SN(c[d>>2]|0,s|0,j|0)|0;if(!g)Ua(d|0,p|0);z=p}else g=-1;if((g|0)==1){d=z;continue};c[e>>2]=c[n>>2];c[e+4>>2]=c[n+4>>2];c[e+8>>2]=c[n+8>>2];c[e+12>>2]=c[n+12>>2];h=e+16|0;o=0;c[m>>2]=c[h>>2];c[m+4>>2]=c[h+4>>2];c[m+8>>2]=c[h+8>>2];c[m+12>>2]=c[h+12>>2];ga(26,q|0,m|0);d=o;o=0;if((d|0)!=0&(p|0)!=0){g=SN(c[d>>2]|0,s|0,j|0)|0;if(!g)Ua(d|0,p|0);z=p}else g=-1;if((g|0)==1){d=z;continue};c[h>>2]=c[q>>2];c[h+4>>2]=c[q+4>>2];c[h+8>>2]=c[q+8>>2];c[h+12>>2]=c[q+12>>2];c[42490]=0;o=0;fa(93,4);d=o;o=0;if((d|0)!=0&(p|0)!=0){g=SN(c[d>>2]|0,s|0,j|0)|0;if(!g)Ua(d|0,p|0);z=p}else g=-1;if((g|0)==1){d=z;continue}g=c[42491]|0;d=c[42490]|0;c[42490]=d+1;d=g+(d<<4)|0;c[d>>2]=c[r>>2];c[d+4>>2]=c[r+4>>2];c[d+8>>2]=c[r+8>>2];c[d+12>>2]=c[r+12>>2];o=0;c[k>>2]=c[e>>2];c[k+4>>2]=c[e+4>>2];c[k+8>>2]=c[e+8>>2];c[k+12>>2]=c[e+12>>2];c[m>>2]=c[h>>2];c[m+4>>2]=c[h+4>>2];c[m+8>>2]=c[h+8>>2];c[m+12>>2]=c[h+12>>2];d=da(1,a|0,b|0,r|0,i|0,k|0,m|0)|0;g=o;o=0;if((g|0)!=0&(p|0)!=0){h=SN(c[g>>2]|0,s|0,j|0)|0;if(!h)Ua(g|0,p|0);z=p}else h=-1;if((h|0)==1)d=z;else{t=8;break}}if((t|0)==8)if((d|0)==-1)d=-1;else{c[f+4>>2]=c[42490];c[f>>2]=c[42491];d=0}_I(s|0);l=u;return d|0}function iI(a,b){a=a|0;b=b|0;var d=0.0,e=0,f=0.0,g=0.0,i=0.0;d=+h[b>>3];e=b+8|0;f=+h[e>>3];i=f*f+d*d;g=+C(+i);if(i>1.0e-06){h[b>>3]=d/g;h[e>>3]=f/g};c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];return}function jI(a){a=a|0;var b=0,d=0,e=0,f=0;f=l;l=l+32|0;e=f+16|0;d=f;if((c[42494]|0)<(a|0)){b=c[42491]|0;if(!b){e=ZI(a<<4)|0;c[42491]=e;if(!e){e=c[13918]|0;c[d>>2]=125476;c[d+4>>2]=531;c[d+8>>2]=125611;zL(e,125484,d)|0;Ua(169804,1)}}else{d=aJ(b,a<<4)|0;c[42491]=d;if(!d){d=c[13918]|0;c[e>>2]=125476;c[e+4>>2]=537;c[e+8>>2]=125629;zL(d,125484,e)|0;Ua(169804,1)}}c[42494]=a}l=f;return}function kI(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0.0,k=0,m=0.0,n=0,o=0.0,p=0.0,q=0,r=0.0,s=0.0,t=0.0,u=0.0,v=0.0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0,T=0.0,U=0.0,V=0.0,W=0.0;R=l;l=l+336|0;J=R+320|0;I=R+304|0;w=R+144|0;q=R+128|0;G=R+112|0;H=R+96|0;Q=R+80|0;A=R+64|0;C=R+48|0;K=R+32|0;L=R+16|0;M=R;x=R+288|0;y=R+272|0;z=R+256|0;B=R+240|0;D=R+224|0;E=R+208|0;N=R+192|0;O=R+176|0;P=R+160|0;i=c[42493]|0;do if((c[42492]|0)<(e|0)){if(!i){i=ZI(e*40|0)|0;c[42493]=i;if(!i){i=-1;break}}else{i=aJ(i,e*40|0)|0;c[42493]=i;if(!i){i=-1;break}}c[42492]=e;k=6}else k=6;while(0);if((k|0)==6){h[i>>3]=0.0;k=1;j=0.0;while(1){if((k|0)>=(e|0))break;n=d+(k<<4)|0;F=d+(k+-1<<4)|0;c[I>>2]=c[n>>2];c[I+4>>2]=c[n+4>>2];c[I+8>>2]=c[n+8>>2];c[I+12>>2]=c[n+12>>2];c[J>>2]=c[F>>2];c[J+4>>2]=c[F+4>>2];c[J+8>>2]=c[F+8>>2];c[J+12>>2]=c[F+12>>2];v=+lI(I,J)+j;h[i+(k*40|0)>>3]=v;k=k+1|0;j=v}F=e+-1|0;n=i+(F*40|0)|0;k=1;while(1){if((k|0)>=(e|0))break;S=i+(k*40|0)|0;h[S>>3]=+h[S>>3]/+h[n>>3];k=k+1|0}k=0;while(1){if((k|0)>=(e|0))break;S=i+(k*40|0)+8|0;n=i+(k*40|0)|0;v=+mI(+h[n>>3]);c[J>>2]=c[f>>2];c[J+4>>2]=c[f+4>>2];c[J+8>>2]=c[f+8>>2];c[J+12>>2]=c[f+12>>2];nI(x,J,v);c[S>>2]=c[x>>2];c[S+4>>2]=c[x+4>>2];c[S+8>>2]=c[x+8>>2];c[S+12>>2]=c[x+12>>2];S=i+(k*40|0)+24|0;v=+oI(+h[n>>3]);c[J>>2]=c[g>>2];c[J+4>>2]=c[g+4>>2];c[J+8>>2]=c[g+8>>2];c[J+12>>2]=c[g+12>>2];nI(y,J,v);c[S>>2]=c[y>>2];c[S+4>>2]=c[y+4>>2];c[S+8>>2]=c[y+8>>2];c[S+12>>2]=c[y+12>>2];k=k+1|0}c[I>>2]=c[f>>2];c[I+4>>2]=c[f+4>>2];c[I+8>>2]=c[f+8>>2];c[I+12>>2]=c[f+12>>2];c[J>>2]=c[g>>2];c[J+4>>2]=c[g+4>>2];c[J+8>>2]=c[g+8>>2];c[J+12>>2]=c[g+12>>2];pI(d,e,i,I,J,G,A,H,C);c[q>>2]=c[G>>2];c[q+4>>2]=c[G+4>>2];c[q+8>>2]=c[G+8>>2];c[q+12>>2]=c[G+12>>2];c[w>>2]=c[A>>2];c[w+4>>2]=c[A+4>>2];c[w+8>>2]=c[A+8>>2];c[w+12>>2]=c[A+12>>2];c[I>>2]=c[H>>2];c[I+4>>2]=c[H+4>>2];c[I+8>>2]=c[H+8>>2];c[I+12>>2]=c[H+12>>2];c[J>>2]=c[C>>2];c[J+4>>2]=c[C+4>>2];c[J+8>>2]=c[C+8>>2];c[J+12>>2]=c[C+12>>2];if(!(qI(a,b,q,w,I,J,d,e)|0)){c[J>>2]=c[A>>2];c[J+4>>2]=c[A+4>>2];c[J+8>>2]=c[A+8>>2];c[J+12>>2]=c[A+12>>2];nI(z,J,.3333333333333333);c[I>>2]=c[G>>2];c[I+4>>2]=c[G+4>>2];c[I+8>>2]=c[G+8>>2];c[I+12>>2]=c[G+12>>2];c[J>>2]=c[z>>2];c[J+4>>2]=c[z+4>>2];c[J+8>>2]=c[z+8>>2];c[J+12>>2]=c[z+12>>2];rI(B,I,J);v=+h[B>>3];u=+h[B+8>>3];c[J>>2]=c[C>>2];c[J+4>>2]=c[C+4>>2];c[J+8>>2]=c[C+8>>2];c[J+12>>2]=c[C+12>>2];nI(D,J,.3333333333333333);c[I>>2]=c[H>>2];c[I+4>>2]=c[H+4>>2];c[I+8>>2]=c[H+8>>2];c[I+12>>2]=c[H+12>>2];c[J>>2]=c[D>>2];c[J+4>>2]=c[D+4>>2];c[J+8>>2]=c[D+8>>2];c[J+12>>2]=c[D+12>>2];sI(E,I,J);t=+h[E>>3];p=+h[E+8>>3];q=c[42493]|0;r=+h[G>>3];s=+h[H>>3];o=+h[G+8>>3];m=+h[H+8>>3];n=Q+8|0;i=-1;j=-1.0;k=1;while(1){if((k|0)>=(F|0))break;T=+h[q+(k*40|0)>>3];U=+tI(T);V=+mI(T);W=+oI(T);T=+uI(T);h[Q>>3]=V*v+r*U+W*t+s*T;h[n>>3]=W*p+V*u+o*U+m*T;S=d+(k<<4)|0;c[I>>2]=c[Q>>2];c[I+4>>2]=c[Q+4>>2];c[I+8>>2]=c[Q+8>>2];c[I+12>>2]=c[Q+12>>2];c[J>>2]=c[S>>2];c[J+4>>2]=c[S+4>>2];c[J+8>>2]=c[S+8>>2];c[J+12>>2]=c[S+12>>2];T=+lI(I,J);S=T>j;i=S?k:i;j=S?T:j;k=k+1|0}S=d+(i<<4)|0;Q=d+(i+-1<<4)|0;c[I>>2]=c[S>>2];c[I+4>>2]=c[S+4>>2];c[I+8>>2]=c[S+8>>2];c[I+12>>2]=c[S+12>>2];c[J>>2]=c[Q>>2];c[J+4>>2]=c[Q+4>>2];c[J+8>>2]=c[Q+8>>2];c[J+12>>2]=c[Q+12>>2];sI(N,I,J);c[J>>2]=c[N>>2];c[J+4>>2]=c[N+4>>2];c[J+8>>2]=c[N+8>>2];c[J+12>>2]=c[N+12>>2];iI(L,J);Q=i+1|0;N=d+(Q<<4)|0;c[I>>2]=c[N>>2];c[I+4>>2]=c[N+4>>2];c[I+8>>2]=c[N+8>>2];c[I+12>>2]=c[N+12>>2];c[J>>2]=c[S>>2];c[J+4>>2]=c[S+4>>2];c[J+8>>2]=c[S+8>>2];c[J+12>>2]=c[S+12>>2];sI(O,I,J);c[J>>2]=c[O>>2];c[J+4>>2]=c[O+4>>2];c[J+8>>2]=c[O+8>>2];c[J+12>>2]=c[O+12>>2];iI(M,J);c[I>>2]=c[L>>2];c[I+4>>2]=c[L+4>>2];c[I+8>>2]=c[L+8>>2];c[I+12>>2]=c[L+12>>2];c[J>>2]=c[M>>2];c[J+4>>2]=c[M+4>>2];c[J+8>>2]=c[M+8>>2];c[J+12>>2]=c[M+12>>2];rI(P,I,J);c[J>>2]=c[P>>2];c[J+4>>2]=c[P+4>>2];c[J+8>>2]=c[P+8>>2];c[J+12>>2]=c[P+12>>2];iI(K,J);c[I>>2]=c[f>>2];c[I+4>>2]=c[f+4>>2];c[I+8>>2]=c[f+8>>2];c[I+12>>2]=c[f+12>>2];c[J>>2]=c[K>>2];c[J+4>>2]=c[K+4>>2];c[J+8>>2]=c[K+8>>2];c[J+12>>2]=c[K+12>>2];kI(a,b,d,Q,I,J)|0;c[I>>2]=c[K>>2];c[I+4>>2]=c[K+4>>2];c[I+8>>2]=c[K+8>>2];c[I+12>>2]=c[K+12>>2];c[J>>2]=c[g>>2];c[J+4>>2]=c[g+4>>2];c[J+8>>2]=c[g+8>>2];c[J+12>>2]=c[g+12>>2];kI(a,b,S,e-i|0,I,J)|0;i=0}else i=0}l=R;return i|0}function lI(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;c=+h[b>>3]-+h[a>>3];d=+h[b+8>>3]-+h[a+8>>3];return +(+C(+(d*d+c*c)))}function mI(a){a=+a;var b=0.0;b=1.0-a;return +(b*b*(a*3.0))}function nI(a,b,d){a=a|0;b=b|0;d=+d;var e=0;h[b>>3]=+h[b>>3]*d;e=b+8|0;h[e>>3]=+h[e>>3]*d;c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];return}function oI(a){a=+a;return +(a*a*3.0*(1.0-a))}function pI(a,b,d,e,f,g,i,j,k){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;j=j|0;k=k|0;var m=0.0,n=0.0,o=0.0,p=0.0,q=0,r=0,s=0,t=0,u=0,v=0,w=0.0,x=0.0,y=0.0,z=0.0,A=0.0,B=0,C=0,D=0,E=0,F=0,G=0,H=0.0,I=0.0,J=0,K=0,L=0,M=0;G=l;l=l+128|0;B=G+112|0;v=G+80|0;u=G;r=G+96|0;s=G+64|0;t=G+48|0;C=G+32|0;D=G+16|0;E=a+(b+-1<<4)|0;q=0;w=0.0;x=0.0;y=0.0;z=0.0;A=0.0;while(1){if((q|0)>=(b|0))break;K=d+(q*40|0)+8|0;c[v>>2]=c[K>>2];c[v+4>>2]=c[K+4>>2];c[v+8>>2]=c[K+8>>2];c[v+12>>2]=c[K+12>>2];c[B>>2]=c[K>>2];c[B+4>>2]=c[K+4>>2];c[B+8>>2]=c[K+8>>2];c[B+12>>2]=c[K+12>>2];H=+AI(v,B)+x;J=d+(q*40|0)+24|0;c[v>>2]=c[K>>2];c[v+4>>2]=c[K+4>>2];c[v+8>>2]=c[K+8>>2];c[v+12>>2]=c[K+12>>2];c[B>>2]=c[J>>2];c[B+4>>2]=c[J+4>>2];c[B+8>>2]=c[J+8>>2];c[B+12>>2]=c[J+12>>2];p=+AI(v,B)+A;c[v>>2]=c[J>>2];c[v+4>>2]=c[J+4>>2];c[v+8>>2]=c[J+8>>2];c[v+12>>2]=c[J+12>>2];c[B>>2]=c[J>>2];c[B+4>>2]=c[J+4>>2];c[B+8>>2]=c[J+8>>2];c[B+12>>2]=c[J+12>>2];o=+AI(v,B)+y;L=a+(q<<4)|0;M=d+(q*40|0)|0;I=+BI(+h[M>>3]);c[B>>2]=c[a>>2];c[B+4>>2]=c[a+4>>2];c[B+8>>2]=c[a+8>>2];c[B+12>>2]=c[a+12>>2];nI(s,B,I);I=+CI(+h[M>>3]);c[B>>2]=c[E>>2];c[B+4>>2]=c[E+4>>2];c[B+8>>2]=c[E+8>>2];c[B+12>>2]=c[E+12>>2];nI(t,B,I);c[v>>2]=c[s>>2];c[v+4>>2]=c[s+4>>2];c[v+8>>2]=c[s+8>>2];c[v+12>>2]=c[s+12>>2];c[B>>2]=c[t>>2];c[B+4>>2]=c[t+4>>2];c[B+8>>2]=c[t+8>>2];c[B+12>>2]=c[t+12>>2];rI(r,v,B);c[v>>2]=c[L>>2];c[v+4>>2]=c[L+4>>2];c[v+8>>2]=c[L+8>>2];c[v+12>>2]=c[L+12>>2];c[B>>2]=c[r>>2];c[B+4>>2]=c[r+4>>2];c[B+8>>2]=c[r+8>>2];c[B+12>>2]=c[r+12>>2];sI(u,v,B);c[v>>2]=c[K>>2];c[v+4>>2]=c[K+4>>2];c[v+8>>2]=c[K+8>>2];c[v+12>>2]=c[K+12>>2];c[B>>2]=c[u>>2];c[B+4>>2]=c[u+4>>2];c[B+8>>2]=c[u+8>>2];c[B+12>>2]=c[u+12>>2];I=+AI(v,B)+w;c[v>>2]=c[J>>2];c[v+4>>2]=c[J+4>>2];c[v+8>>2]=c[J+8>>2];c[v+12>>2]=c[J+12>>2];c[B>>2]=c[u>>2];c[B+4>>2]=c[u+4>>2];c[B+8>>2]=c[u+8>>2];c[B+12>>2]=c[u+12>>2];q=q+1|0;w=I;x=H;y=o;z=+AI(v,B)+z;A=p}o=y*x-A*A;p=o>=0.0?o:-o;if(!(p>=1.0e-06?(m=(y*w-A*z)/o,n=(x*z-A*w)/o,!(p<1.0e-06|m<=0.0|n<=0.0)):0))F=6;if((F|0)==6){c[v>>2]=c[a>>2];c[v+4>>2]=c[a+4>>2];c[v+8>>2]=c[a+8>>2];c[v+12>>2]=c[a+12>>2];c[B>>2]=c[E>>2];c[B+4>>2]=c[E+4>>2];c[B+8>>2]=c[E+8>>2];c[B+12>>2]=c[E+12>>2];m=+lI(v,B)*.3333333333333333;n=m};c[g>>2]=c[a>>2];c[g+4>>2]=c[a+4>>2];c[g+8>>2]=c[a+8>>2];c[g+12>>2]=c[a+12>>2];c[B>>2]=c[e>>2];c[B+4>>2]=c[e+4>>2];c[B+8>>2]=c[e+8>>2];c[B+12>>2]=c[e+12>>2];nI(C,B,m);c[i>>2]=c[C>>2];c[i+4>>2]=c[C+4>>2];c[i+8>>2]=c[C+8>>2];c[i+12>>2]=c[C+12>>2];c[j>>2]=c[E>>2];c[j+4>>2]=c[E+4>>2];c[j+8>>2]=c[E+8>>2];c[j+12>>2]=c[E+12>>2];c[B>>2]=c[f>>2];c[B+4>>2]=c[f+4>>2];c[B+8>>2]=c[f+8>>2];c[B+12>>2]=c[f+12>>2];nI(D,B,n);c[k>>2]=c[D>>2];c[k+4>>2]=c[D+4>>2];c[k+8>>2]=c[D+8>>2];c[k+12>>2]=c[D+12>>2];l=G;return}function qI(a,b,d,e,f,g,i,j){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;j=j|0;var k=0.0,m=0.0,n=0.0,o=0.0,p=0.0,q=0,r=0.0,s=0.0,t=0,u=0.0,v=0,w=0.0,x=0,y=0.0,z=0,A=0,B=0,C=0,D=0.0,E=0;C=l;l=l+64|0;B=C;z=(j|0)==2;y=+h[d>>3];u=+h[d+8>>3];v=B+8|0;w=+h[e>>3];x=B+16|0;p=+h[e+8>>3];q=B+24|0;r=+h[f>>3];s=+h[g>>3];t=B+32|0;o=+h[f+8>>3];n=+h[g+8>>3];e=B+40|0;f=B+48|0;g=B+56|0;d=1;k=4.0;m=4.0;while(1){h[B>>3]=y;h[v>>3]=u;D=m*.3333333333333333;h[x>>3]=D*w+y;h[q>>3]=D*p+u;D=k*.3333333333333333;h[t>>3]=r-D*s;h[e>>3]=o-D*n;h[f>>3]=r;h[g>>3]=o;if(d?(D=+vI(B,4),D<+vI(i,j)+-.001):0){d=0;break}if(wI(a,b,B)|0){A=5;break}if(m==0.0&k==0.0){A=9;break}E=m>.01;d=0;k=E?k*.5:0.0;m=E?m*.5:0.0}a:do if((A|0)==5){jI((c[42490]|0)+4|0);e=c[42491]|0;d=1;while(1){if((d|0)==4){d=1;break a}E=c[42490]|0;h[e+(E<<4)>>3]=+h[B+(d<<4)>>3];D=+h[B+(d<<4)+8>>3];c[42490]=E+1;h[e+(E<<4)+8>>3]=D;d=d+1|0}}else if((A|0)==9)if(z){jI((c[42490]|0)+4|0);e=c[42491]|0;d=1;while(1){if((d|0)==4){d=1;break a}E=c[42490]|0;h[e+(E<<4)>>3]=+h[B+(d<<4)>>3];D=+h[B+(d<<4)+8>>3];c[42490]=E+1;h[e+(E<<4)+8>>3]=D;d=d+1|0}}else d=0;while(0);l=C;return d|0}function rI(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;h[b>>3]=+h[b>>3]+ +h[d>>3];e=b+8|0;h[e>>3]=+h[e>>3]+ +h[d+8>>3];c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];return}function sI(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;h[b>>3]=+h[b>>3]-+h[d>>3];e=b+8|0;h[e>>3]=+h[e>>3]-+h[d+8>>3];c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];return}function tI(a){a=+a;a=1.0-a;return +(a*a*a)}function uI(a){a=+a;return +(a*a*a)}function vI(a,b){a=a|0;b=b|0;var c=0.0,d=0,e=0.0,f=0.0,g=0;c=0.0;d=1;while(1){if((d|0)>=(b|0))break;g=d+-1|0;e=+h[a+(d<<4)>>3]-+h[a+(g<<4)>>3];f=+h[a+(d<<4)+8>>3]-+h[a+(g<<4)+8>>3];c=+C(+(f*f+e*e))+c;d=d+1|0}return +c}function wI(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0.0,p=0.0,q=0.0,r=0.0,s=0.0,t=0,u=0,v=0.0,w=0,x=0.0,y=0,z=0,A=0,B=0,C=0,D=0.0,E=0.0;C=l;l=l+64|0;t=C+32|0;u=C;w=u+16|0;y=d+16|0;z=d+32|0;A=d+48|0;B=d+8|0;g=d+24|0;i=d+40|0;j=d+56|0;k=u+8|0;m=u+24|0;f=0;a:while(1){if((f|0)>=(b|0)){e=1;break}n=a+(f<<5)|0;c[u>>2]=c[n>>2];c[u+4>>2]=c[n+4>>2];c[u+8>>2]=c[n+8>>2];c[u+12>>2]=c[n+12>>2];n=a+(f<<5)+16|0;c[w>>2]=c[n>>2];c[w+4>>2]=c[n+4>>2];c[w+8>>2]=c[n+8>>2];c[w+12>>2]=c[n+12>>2];n=xI(d,u,t)|0;b:do if((n|0)!=4){o=+h[u>>3];p=+h[k>>3];q=+h[w>>3];r=+h[m>>3];e=0;while(1){if((e|0)>=(n|0))break b;s=+h[t+(e<<3)>>3];if((!(s<1.0e-06|s>.999999)?(x=s*s*s,E=s*3.0,D=1.0-s,s=E*s*D,v=D*D,E=v*E,D=v*D,v=+h[y>>3]*E+ +h[d>>3]*D+ +h[z>>3]*s+ +h[A>>3]*x,x=+h[g>>3]*E+ +h[B>>3]*D+ +h[i>>3]*s+ +h[j>>3]*x,s=v-o,D=x-p,!(D*D+s*s<.001)):0)?(E=v-q,D=x-r,!(D*D+E*E<.001)):0){e=0;break a}e=e+1|0}}while(0);f=f+1|0}l=C;return e|0}function xI(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0,j=0.0,k=0,m=0,n=0,o=0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0;v=l;l=l+96|0;s=v+48|0;t=v+24|0;k=v;u=v+80|0;p=+h[b>>3];g=+h[b+16>>3]-p;q=+h[b+8>>3];j=+h[b+24>>3]-q;c[u>>2]=0;a:do if(!(g==0.0)){j=j/g;m=a+16|0;n=a+32|0;o=a+48|0;yI(+h[a+8>>3]-+h[a>>3]*j,+h[a+24>>3]-+h[m>>3]*j,+h[a+40>>3]-+h[n>>3]*j,+h[a+56>>3]-+h[o>>3]*j,s);h[s>>3]=j*p-q+ +h[s>>3];e=UI(s,t)|0;if((e|0)==4)b=4;else{f=s+8|0;i=s+16|0;k=s+24|0;g=1.0/g;b=0;while(1){if((b|0)>=(e|0))break;j=+h[t+(b<<3)>>3];if(j>=0.0&j<=1.0?(yI(+h[a>>3],+h[m>>3],+h[n>>3],+h[o>>3],s),q=(+h[s>>3]-p+((+h[k>>3]*j+ +h[i>>3])*j+ +h[f>>3])*j)*g,q>=0.0&q<=1.0):0)zI(j,d,u);b=b+1|0}b=c[u>>2]|0}}else{yI(+h[a>>3],+h[a+16>>3],+h[a+32>>3],+h[a+48>>3],s);h[s>>3]=+h[s>>3]-p;r=UI(s,t)|0;if(!(j==0.0)){if((r|0)==4){b=4;break}m=a+8|0;n=a+24|0;o=a+40|0;e=a+56|0;f=s+8|0;i=s+16|0;k=s+24|0;g=1.0/j;b=0;while(1){if((b|0)>=(r|0))break;j=+h[t+(b<<3)>>3];if(j>=0.0&j<=1.0?(yI(+h[m>>3],+h[n>>3],+h[o>>3],+h[e>>3],s),p=(+h[s>>3]-q+((+h[k>>3]*j+ +h[i>>3])*j+ +h[f>>3])*j)*g,p>=0.0&p<=1.0):0)zI(j,d,u);b=b+1|0}b=c[u>>2]|0;break}yI(+h[a+8>>3],+h[a+24>>3],+h[a+40>>3],+h[a+56>>3],s);h[s>>3]=+h[s>>3]-q;i=UI(s,k)|0;b=(i|0)==4;b:do if((r|0)==4){if(b){b=4;break a}else b=0;while(1){if((b|0)>=(i|0))break b;zI(+h[k+(b<<3)>>3],d,u);b=b+1|0}}else{if(b){b=0;while(1){if((b|0)>=(r|0))break b;zI(+h[t+(b<<3)>>3],d,u);b=b+1|0}}else e=0;while(1){if((e|0)>=(r|0))break b;f=t+(e<<3)|0;b=0;while(1){if((b|0)>=(i|0))break;g=+h[f>>3];if(g==+h[k+(b<<3)>>3])zI(g,d,u);b=b+1|0}e=e+1|0}}while(0);b=c[u>>2]|0}while(0);l=v;return b|0}function yI(a,b,c,d,e){a=+a;b=+b;c=+c;d=+d;e=e|0;h[e+24>>3]=d-a+(b-c)*3.0;h[e+16>>3]=(c+a)*3.0-b*6.0;h[e+8>>3]=(b-a)*3.0;h[e>>3]=a;return}function zI(a,b,d){a=+a;b=b|0;d=d|0;var e=0;if(a>=0.0&a<=1.0){e=c[d>>2]|0;h[b+(e<<3)>>3]=a;c[d>>2]=e+1}return}function AI(a,b){a=a|0;b=b|0;return +(+h[b+8>>3]*+h[a+8>>3]+ +h[b>>3]*+h[a>>3])}function BI(a){a=+a;var b=0.0;b=1.0-a;return +(b*b*(b+a*3.0))}function CI(a){a=+a;return +(a*a*((1.0-a)*3.0+a))}
function sx(d,f,g){d=d|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0.0,n=0,o=0.0,p=0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0,T=0,U=0,V=0,W=0,X=0,Y=0;Y=l;l=l+2288|0;W=Y+208|0;V=Y+192|0;U=Y+176|0;T=Y+160|0;S=Y+144|0;R=Y+128|0;P=Y+112|0;O=Y+96|0;N=Y+80|0;M=Y+64|0;L=Y+56|0;K=Y+48|0;X=Y+32|0;Q=Y+24|0;J=Y;G=Y+1264|0;H=Y+224|0;I=d+16|0;C=(e[(c[I>>2]|0)+178>>1]|0)>2;Fv(1);jx(d);cm(H,1024,Y+240|0);tB(d,1,87657,174181)|0;tB(d,1,87661,174181)|0;c[42190]=tB(d,1,96043,174181)|0;c[42189]=tB(d,1,96049,174181)|0;tB(d,2,87657,174181)|0;i=a[(c[I>>2]|0)+113>>0]|0;if(i&16){tB(d,1,87667,174181)|0;i=a[(c[I>>2]|0)+113>>0]|0}if(i&1){tB(d,2,87671,174181)|0;i=a[(c[I>>2]|0)+113>>0]|0}if(i&32){tB(d,2,87667,174181)|0;i=a[(c[I>>2]|0)+113>>0]|0}if(i&2){tB(d,2,87674,174181)|0;i=a[(c[I>>2]|0)+113>>0]|0}if(i&4){tB(d,2,87682,174181)|0;i=a[(c[I>>2]|0)+113>>0]|0}if(!(i&8)){v=0;w=0;x=0}else{x=tB(d,0,87671,174181)|0;w=tB(d,0,87690,174181)|0;v=tB(d,0,87697,174181)|0}z=tB(d,0,87705,174181)|0;A=H+4|0;B=H+8|0;u=0;i=0;y=co(d)|0;while(1){if(!y)break;t=y+16|0;k=c[t>>2]|0;o=+h[k+16>>3];j=(c[42183]|0)==0;if(C){if(j)m=+h[k+24>>3];else m=+h[20895]-+h[k+24>>3];q=+h[(c[k+132>>2]|0)+16>>3]*72.0;h[J>>3]=o;h[J+8>>3]=m;h[J+16>>3]=q;pL(G,87708,J)|0;fm(H,G)|0;j=3;while(1){if((j|0)>=(e[(c[I>>2]|0)+178>>1]|0))break;h[Q>>3]=+h[(c[(c[t>>2]|0)+132>>2]|0)+(j<<3)>>3]*72.0;pL(G,87723,Q)|0;fm(H,G)|0;j=j+1|0}j=c[A>>2]|0;if(j>>>0>=(c[B>>2]|0)>>>0){dm(H,1)|0;j=c[A>>2]|0}a[j>>0]=0;s=c[H>>2]|0;c[A>>2]=s;Km(y,87657,s)|0;s=y}else{if(j)m=+h[k+24>>3];else m=+h[20895]-+h[k+24>>3];h[X>>3]=o;h[X+8>>3]=m;pL(G,87729,X)|0;Km(y,87657,G)|0;s=y}h[K>>3]=+h[(c[t>>2]|0)+80>>3]*.013888888888888888;pL(G,87652,K)|0;Cm(s,c[42189]|0,G)|0;j=c[t>>2]|0;h[L>>3]=(+h[j+96>>3]+ +h[j+88>>3])*.013888888888888888;pL(G,87652,L)|0;Cm(s,c[42190]|0,G)|0;j=c[t>>2]|0;k=c[j+108>>2]|0;if((k|0)!=0?(a[k+81>>0]|0)!=0:0){q=+h[k+64>>3];q=(c[42183]|0)==0?q:+h[20895]-q;h[M>>3]=+h[k+56>>3];h[M+8>>3]=q;pL(G,87729,M)|0;Km(s,87667,G)|0;j=c[t>>2]|0}if(xJ(c[c[j+8>>2]>>2]|0,91264)|0){if(c[42214]|0?(Oy(y)|0)<<24>>24:0){k=c[(c[t>>2]|0)+12>>2]|0;r=k+8|0;j=c[r>>2]|0;if((j|0)<3){j=Im(s,87739)|0;if(!j)j=8;else j=rM(j)|0;j=(j|0)<3?8:j}p=k+44|0;q=1.0/+(j|0);n=0;while(1){if((n|0)>=(j|0))break;if((n|0)>0){k=c[A>>2]|0;if(k>>>0>=(c[B>>2]|0)>>>0){dm(H,1)|0;k=c[A>>2]|0}c[A>>2]=k+1;a[k>>0]=32}if((c[r>>2]|0)>2){k=c[p>>2]|0;if(!(c[42183]|0))m=+h[k+(n<<4)+8>>3]*.013888888888888888;else m=+h[20896]-+h[k+(n<<4)+8>>3]*.013888888888888888;h[N>>3]=+h[k+(n<<4)>>3]*.013888888888888888;h[N+8>>3]=m;pL(G,87752,N)|0}else{k=c[t>>2]|0;m=q*+(n|0)*6.283185307179586;o=+h[k+32>>3]*.5*+E(+m);if(!(c[42183]|0))m=+h[k+40>>3]*.5*+F(+m);else m=+h[20896]-+h[k+40>>3]*.5*+F(+m);h[O>>3]=o;h[O+8>>3]=m;pL(G,87752,O)|0}fm(H,G)|0;n=n+1|0}k=c[42214]|0;j=c[A>>2]|0;if(j>>>0>=(c[B>>2]|0)>>>0){dm(H,1)|0;j=c[A>>2]|0}a[j>>0]=0;t=c[H>>2]|0;c[A>>2]=t;Cm(s,k,t)|0}}else{tx(y,c[j+12>>2]|0,H);hm(H)|0;j=c[A>>2]|0;if(j>>>0>=(c[B>>2]|0)>>>0){dm(H,1)|0;j=c[A>>2]|0}a[j>>0]=0;t=c[H>>2]|0;c[A>>2]=t;Km(s,87661,t)|0}a:do if((c[42181]|0)>0){t=Pm(d,y)|0;j=u;while(1){if(!t)break a;s=t+16|0;k=c[s>>2]|0;do if((a[k+112>>0]|0)!=6?(D=c[k+8>>2]|0,(D|0)!=0):0){r=0;k=D;while(1){if((r|0)>=(c[k+4>>2]|0))break;if((r|0)>0){k=c[A>>2]|0;if(k>>>0>=(c[B>>2]|0)>>>0){dm(H,1)|0;k=c[A>>2]|0}c[A>>2]=k+1;a[k>>0]=59;k=c[(c[s>>2]|0)+8>>2]|0}k=c[k>>2]|0;if(c[k+(r*48|0)+8>>2]|0){if(!(c[42183]|0))m=+h[k+(r*48|0)+24>>3];else m=+h[20895]-+h[k+(r*48|0)+24>>3];h[P>>3]=+h[k+(r*48|0)+16>>3];h[P+8>>3]=m;pL(G,87762,P)|0;fm(H,G)|0;i=1;k=c[c[(c[s>>2]|0)+8>>2]>>2]|0}if(c[k+(r*48|0)+12>>2]|0){if(!(c[42183]|0))m=+h[k+(r*48|0)+40>>3];else m=+h[20895]-+h[k+(r*48|0)+40>>3];h[R>>3]=+h[k+(r*48|0)+32>>3];h[R+8>>3]=m;pL(G,87775,R)|0;fm(H,G)|0;j=1}p=0;while(1){k=c[(c[s>>2]|0)+8>>2]|0;n=c[k>>2]|0;if((p|0)>=(c[n+(r*48|0)+4>>2]|0))break;if((p|0)>0){k=c[A>>2]|0;if(k>>>0>=(c[B>>2]|0)>>>0){dm(H,1)|0;k=c[A>>2]|0}c[A>>2]=k+1;a[k>>0]=32;k=c[c[(c[s>>2]|0)+8>>2]>>2]|0}else k=n;u=c[k+(r*48|0)>>2]|0;q=+h[u+(p<<4)+8>>3];q=(c[42183]|0)==0?q:+h[20895]-q;h[S>>3]=+h[u+(p<<4)>>3];h[S+8>>3]=q;pL(G,87729,S)|0;fm(H,G)|0;p=p+1|0}r=r+1|0}k=c[A>>2]|0;if(k>>>0>=(c[B>>2]|0)>>>0){dm(H,1)|0;k=c[A>>2]|0}a[k>>0]=0;k=c[H>>2]|0;c[A>>2]=k;Km(t,87657,k)|0;k=c[s>>2]|0;n=c[k+96>>2]|0;if(n){q=+h[n+64>>3];q=(c[42183]|0)==0?q:+h[20895]-q;h[T>>3]=+h[n+56>>3];h[T+8>>3]=q;pL(G,87729,T)|0;Km(t,87671,G)|0;k=c[s>>2]|0}n=c[k+108>>2]|0;do if(n){if(!(a[n+81>>0]|0))break;q=+h[n+64>>3];q=(c[42183]|0)==0?q:+h[20895]-q;h[U>>3]=+h[n+56>>3];h[U+8>>3]=q;pL(G,87729,U)|0;Km(t,87667,G)|0;k=c[s>>2]|0}while(0);n=c[k+100>>2]|0;if(n){q=+h[n+64>>3];q=(c[42183]|0)==0?q:+h[20895]-q;h[V>>3]=+h[n+56>>3];h[V+8>>3]=q;pL(G,87729,V)|0;Km(t,87674,G)|0;k=c[s>>2]|0}k=c[k+104>>2]|0;if(!k)break;q=+h[k+64>>3];q=(c[42183]|0)==0?q:+h[20895]-q;h[W>>3]=+h[k+56>>3];h[W+8>>3]=q;pL(G,87729,W)|0;Km(t,87682,G)|0}while(0);t=Rm(d,t)|0}}else j=u;while(0);u=j;y=eo(d,y)|0}ux(d,z,x,w,v);gm(H);if(b[(c[I>>2]|0)+136>>1]&1)nB(d);c[f>>2]=i;c[g>>2]=u;Fv(0);l=Y;return}function tx(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0.0,g=0.0,i=0.0,j=0,k=0,m=0,n=0,o=0.0;n=l;l=l+1056|0;k=n;j=n+32|0;m=b+48|0;if(!(c[m>>2]|0)){e=c[a+16>>2]|0;i=+h[e+16>>3];if(!(c[42183]|0)){g=+h[e+24>>3];f=g+ +h[b+24>>3];g=g+ +h[b+40>>3]}else{g=+h[e+24>>3];f=+h[20895]-+h[b+24>>3]-g;g=+h[20895]-+h[b+40>>3]-g}o=i+ +h[b+32>>3];h[k>>3]=i+ +h[b+16>>3];h[k+8>>3]=f;h[k+16>>3]=o;h[k+24>>3]=g;pL(j,87813,k)|0;fm(d,j)|0}b=b+56|0;e=0;while(1){if((e|0)>=(c[m>>2]|0))break;tx(a,c[(c[b>>2]|0)+(e<<2)>>2]|0,d);e=e+1|0}l=n;return}function ux(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0.0;s=l;l=l+1088|0;o=s+56|0;q=s+48|0;p=s+32|0;j=s;n=s+64|0;r=b+16|0;i=c[r>>2]|0;if(!(c[42183]|0)){k=+h[i+24>>3];m=+h[i+40>>3]}else{m=+h[20895];k=m-+h[i+24>>3];m=m-+h[i+40>>3]}t=+h[i+32>>3];h[j>>3]=+h[i+16>>3];h[j+8>>3]=k;h[j+16>>3]=t;h[j+24>>3]=m;pL(n,87788,j)|0;Cm(b,d,n)|0;i=c[(c[r>>2]|0)+12>>2]|0;if((i|0)!=0?(a[c[i>>2]>>0]|0)!=0:0){t=+h[i+64>>3];t=(c[42183]|0)==0?t:+h[20895]-t;h[p>>3]=+h[i+56>>3];h[p+8>>3]=t;pL(n,87729,p)|0;Cm(b,e,n)|0;i=c[(c[r>>2]|0)+12>>2]|0;t=+h[i+32>>3];h[q>>3]=+h[i+24>>3]*.013888888888888888;pL(n,87808,q)|0;Cm(b,f,n)|0;h[o>>3]=t*.013888888888888888;pL(n,87808,o)|0;Cm(b,g,n)|0;i=1}else i=1;while(1){j=c[r>>2]|0;if((i|0)>(c[j+180>>2]|0))break;ux(c[(c[j+184>>2]|0)+(i<<2)>>2]|0,d,e,f,g);i=i+1|0}l=s;return}function vx(a){a=a|0;var b=0;b=l;l=l+16|0;sx(a,b,b+4|0);l=b;return}function wx(){return Ql(19796,c[4345]|0)|0}function xx(a,b,c){a=a|0;b=b|0;c=c|0;_I(b);return}function yx(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;a=c[b>>2]|0;e=c[d>>2]|0;if((a|0)<=(e|0))if((a|0)<(e|0))a=-1;else{b=c[b+4>>2]|0;d=c[d+4>>2]|0;return ((b|0)>(d|0)?1:((b|0)<(d|0))<<31>>31)|0}else a=1;return a|0}function zx(a){a=a|0;Kl(a)|0;return}function Ax(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=c[b>>2];c[e+4>>2]=c[b+4>>2];b=Bx(e)|0;if((bb[c[a>>2]&31](a,b,1)|0)!=(b|0))_I(b);l=d;return}function Bx(a){a=a|0;var b=0,d=0,e=0;b=vw(16)|0;e=a;d=c[e+4>>2]|0;a=b+8|0;c[a>>2]=c[e>>2];c[a+4>>2]=d;return b|0}function Cx(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;e=l;l=l+16|0;f=e+8|0;g=e;c[g>>2]=b;c[g+4>>2]=d;c[f>>2]=c[g>>2];c[f+4>>2]=c[g+4>>2];b=Bx(f)|0;if((bb[c[a>>2]&31](a,b,1)|0)!=(b|0))_I(b);l=e;return}function Dx(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;d=l;l=l+16|0;e=d;g=b;f=c[g+4>>2]|0;b=e+8|0;c[b>>2]=c[g>>2];c[b+4>>2]=f;b=(bb[c[a>>2]&31](a,e,4)|0)!=0&1;l=d;return b|0}function Ex(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=l;l=l+16|0;f=e;c[f+8>>2]=b;c[f+12>>2]=d;d=(bb[c[a>>2]&31](a,f,4)|0)!=0&1;l=e;return d|0}function Fx(a){a=a|0;return Sl(a)|0}function Gx(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;d=vw((Sl(a)|0)<<3)|0;b=d;a=Ol(a)|0;while(1){if(!a)break;g=a+8|0;f=c[g+4>>2]|0;e=b;c[e>>2]=c[g>>2];c[e+4>>2]=f;b=b+8|0;a=c[a>>2]|0}return d|0}function Hx(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0.0,g=0.0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;t=l;l=l+160|0;q=t+144|0;d=t+48|0;j=t+128|0;k=t+112|0;m=t+96|0;n=t+80|0;o=t+32|0;p=t+16|0;r=t;s=a+16|0;a=c[s>>2]|0;e=+h[a+16>>3];f=+h[a+24>>3];g=+h[a+32>>3];i=+h[a+40>>3];if((b+-1|0)>>>0<2){Ix(j,e,i);c[q>>2]=c[j>>2];c[q+4>>2]=c[j+4>>2];c[q+8>>2]=c[j+8>>2];c[q+12>>2]=c[j+12>>2];Jx(d,q);p=d+16|0;Ix(k,g,f);c[q>>2]=c[k>>2];c[q+4>>2]=c[k+4>>2];c[q+8>>2]=c[k+8>>2];c[q+12>>2]=c[k+12>>2];Jx(m,q);c[p>>2]=c[m>>2];c[p+4>>2]=c[m+4>>2];c[p+8>>2]=c[m+8>>2];c[p+12>>2]=c[m+12>>2]}else{Ix(n,e,f);c[q>>2]=c[n>>2];c[q+4>>2]=c[n+4>>2];c[q+8>>2]=c[n+8>>2];c[q+12>>2]=c[n+12>>2];Jx(d,q);n=d+16|0;Ix(o,g,i);c[q>>2]=c[o>>2];c[q+4>>2]=c[o+4>>2];c[q+8>>2]=c[o+8>>2];c[q+12>>2]=c[o+12>>2];Jx(p,q);c[n>>2]=c[p>>2];c[n+4>>2]=c[p+4>>2];c[n+8>>2]=c[p+8>>2];c[n+12>>2]=c[p+12>>2]}a=(c[s>>2]|0)+16|0;c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];c[a+16>>2]=c[d+16>>2];c[a+20>>2]=c[d+20>>2];c[a+24>>2]=c[d+24>>2];c[a+28>>2]=c[d+28>>2];a=c[(c[s>>2]|0)+12>>2]|0;if(!a)a=1;else{a=a+56|0;c[q>>2]=c[a>>2];c[q+4>>2]=c[a+4>>2];c[q+8>>2]=c[a+8>>2];c[q+12>>2]=c[a+12>>2];Jx(r,q);c[a>>2]=c[r>>2];c[a+4>>2]=c[r+4>>2];c[a+8>>2]=c[r+8>>2];c[a+12>>2]=c[r+12>>2];a=1}while(1){d=c[s>>2]|0;if((a|0)>(c[d+180>>2]|0))break;Hx(c[(c[d+184>>2]|0)+(a<<2)>>2]|0,b);a=a+1|0}l=t;return}function Ix(a,b,c){a=a|0;b=+b;c=+c;h[a>>3]=b;h[a+8>>3]=c;return}function Jx(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;d=l;l=l+32|0;g=d+16|0;e=d;f=(c[42309]|0)*90|0;c[g>>2]=c[b>>2];c[g+4>>2]=c[b+4>>2];c[g+8>>2]=c[b+8>>2];c[g+12>>2]=c[b+12>>2];aw(e,g,f);c[b>>2]=c[e>>2];c[b+4>>2]=c[e+4>>2];c[b+8>>2]=c[e+8>>2];c[b+12>>2]=c[e+12>>2];h[b>>3]=+h[b>>3]-+h[20897];e=b+8|0;h[e>>3]=+h[e>>3]-+h[20898];c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];l=d;return}function Kx(b,d){b=b|0;d=d|0;var e=0,f=0.0,g=0,i=0,j=0.0,k=0.0,m=0,n=0.0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0;w=l;l=l+1168|0;s=w+144|0;v=w+96|0;u=w+64|0;t=w+48|0;o=w+32|0;p=w+16|0;q=w;c[t>>2]=0;c[t+4>>2]=0;c[t+8>>2]=0;c[t+12>>2]=0;r=b+16|0;m=c[(c[r>>2]|0)+116>>2]|0;c[42309]=m&3;m=m&1;a[174079]=m;if(!(m<<24>>24))Mx(b);else Lx(b);Nx(b);m=c[r>>2]|0;e=c[m+12>>2]|0;do if(e|0?(a[e+81>>0]|0)==0:0){g=e+24|0;c[t>>2]=c[g>>2];c[t+4>>2]=c[g+4>>2];c[t+8>>2]=c[g+8>>2];c[t+12>>2]=c[g+12>>2];n=+h[t>>3]+16.0;h[t>>3]=n;g=t+8|0;f=+h[g>>3]+8.0;h[g>>3]=f;g=(a[m+275>>0]&1)!=0;if(a[174079]|0){if(g){i=m+32|0;h[i>>3]=+h[i>>3]+f}else{i=m+16|0;h[i>>3]=+h[i>>3]-f}g=m+40|0;f=+h[g>>3];i=m+24|0;j=+h[i>>3];k=f-j;if(!(n>k))break;n=(n-k)*.5;h[i>>3]=j-n;h[g>>3]=f+n;break}i=(c[42309]|0)==0;do if(g)if(i){i=m+40|0;h[i>>3]=+h[i>>3]+f;break}else{i=m+24|0;h[i>>3]=+h[i>>3]-f;break}else if(i){i=m+24|0;h[i>>3]=+h[i>>3]-f;break}else{i=m+40|0;h[i>>3]=+h[i>>3]+f;break}while(0);g=m+32|0;f=+h[g>>3];i=m+16|0;j=+h[i>>3];k=f-j;if(n>k){n=(n-k)*.5;h[i>>3]=j-n;h[g>>3]=f+n}}while(0);if(d){switch(c[42309]|0){case 0:{q=m+16|0;c[41794]=c[q>>2];c[41795]=c[q+4>>2];c[41796]=c[q+8>>2];c[41797]=c[q+12>>2];break}case 1:{Ix(o,-+h[m+40>>3],+h[m+16>>3]);c[41794]=c[o>>2];c[41795]=c[o+4>>2];c[41796]=c[o+8>>2];c[41797]=c[o+12>>2];break}case 2:{Ix(p,+h[m+16>>3],-+h[m+40>>3]);c[41794]=c[p>>2];c[41795]=c[p+4>>2];c[41796]=c[p+8>>2];c[41797]=c[p+12>>2];break}case 3:{Ix(q,+h[m+24>>3],+h[m+16>>3]);c[41794]=c[q>>2];c[41795]=c[q+4>>2];c[41796]=c[q+8>>2];c[41797]=c[q+12>>2];break}default:{}}Ox(b);e=c[(c[r>>2]|0)+12>>2]|0}if(e|0?(a[e+81>>0]|0)==0:0){c[s>>2]=c[t>>2];c[s+4>>2]=c[t+4>>2];c[s+8>>2]=c[t+8>>2];c[s+12>>2]=c[t+12>>2];Px(b,s)}if(!0){l=w;return}if(!(a[174079]|0)){n=+h[20898];k=+h[20897];h[v>>3]=n;h[v+8>>3]=k;h[v+16>>3]=n;h[v+24>>3]=k;h[v+32>>3]=-k;h[v+40>>3]=-n;pL(s,88049,v)|0}else{k=+h[20897];n=+h[20898];h[u>>3]=k;h[u+8>>3]=n;h[u+16>>3]=k;h[u+24>>3]=n;pL(s,87834,u)|0}GL(s)|0;Ta()}function Lx(b){b=b|0;var d=0,e=0.0,f=0.0,g=0,i=0,j=0;j=b+16|0;if(((so(b)|0)!=(b|0)?(g=c[j>>2]|0,i=c[g+12>>2]|0,(i|0)!=0):0)?(a[i+81>>0]|0)==0:0){d=a[g+275>>0]|0;if(!(d&1)){f=+h[g+16>>3]+ +h[g+96>>3]*.5;b=g+104|0}else{f=+h[g+32>>3]-+h[g+64>>3]*.5;b=g+72|0}e=+h[b>>3];b=d<<24>>24;do if(!(b&4))if(!(b&2)){e=(+h[g+40>>3]+ +h[g+24>>3])*.5;break}else{e=+h[g+40>>3]-e*.5;break}else e=+h[g+24>>3]+e*.5;while(0);h[i+56>>3]=f;h[i+64>>3]=e;a[(c[(c[j>>2]|0)+12>>2]|0)+81>>0]=1;b=1}else b=1;while(1){d=c[j>>2]|0;if((b|0)>(c[d+180>>2]|0))break;Lx(c[(c[d+184>>2]|0)+(b<<2)>>2]|0);b=b+1|0}return}function Mx(b){b=b|0;var d=0,e=0.0,f=0.0,g=0.0,i=0,j=0,k=0;k=b+16|0;if(((so(b)|0)!=(b|0)?(i=c[k>>2]|0,j=c[i+12>>2]|0,(j|0)!=0):0)?(a[j+81>>0]|0)==0:0){d=a[i+275>>0]|0;if(!(d&1)){g=+h[i+24>>3]+ +h[i+56>>3]*.5;b=i+48|0}else{g=+h[i+40>>3]-+h[i+88>>3]*.5;b=i+80|0}f=+h[b>>3];b=d<<24>>24;do if(!(b&4)){e=+h[i+16>>3];if(!(b&2)){e=(+h[i+32>>3]+e)*.5;break}else{e=e+f*.5;break}}else e=+h[i+32>>3]-f*.5;while(0);h[j+56>>3]=e;h[j+64>>3]=g;a[(c[(c[k>>2]|0)+12>>2]|0)+81>>0]=1;b=1}else b=1;while(1){d=c[k>>2]|0;if((b|0)>(c[d+180>>2]|0))break;Mx(c[(c[d+184>>2]|0)+(b<<2)>>2]|0);b=b+1|0}return}function Nx(e){e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0;S=l;l=l+544|0;L=S+504|0;R=S+416|0;Q=S+376|0;K=S+352|0;J=S+312|0;I=S+288|0;H=S+248|0;M=S+200|0;B=S+152|0;O=S+96|0;p=S+488|0;C=S+456|0;D=S+424|0;E=S+384|0;F=S+360|0;G=S+320|0;w=S+296|0;x=S+256|0;y=S+232|0;z=S+168|0;A=S+136|0;f=S+56|0;N=S+16|0;P=S;o=e+16|0;u=c[o>>2]|0;g=b[u+136>>1]&14;u=d[u+113>>0]|0;if(!((u&54|0)==0?(u&1|0)==0|(c[42182]|0)!=0:0)){u=g<<16>>16==0;n=co(e)|0;h=0;j=0;i=0;while(1){if(!n)break;g=c[(c[n+16>>2]|0)+108>>2]|0;do if(g)if(!(a[g+81>>0]|0)){i=i+1|0;break}else{h=h+1|0;break}while(0);m=Pm(e,n)|0;g=j;while(1){if(!m)break;k=c[m+16>>2]|0;j=c[k+108>>2]|0;do if(j){if(a[j+81>>0]|0){h=h+1|0;break}if(!u)g=g+((c[k+8>>2]|0)!=0&1)|0}while(0);j=c[k+100>>2]|0;do if(j){if(a[j+81>>0]|0){h=h+1|0;break}if(!u)g=g+((c[k+8>>2]|0)!=0&1)|0}while(0);j=c[k+104>>2]|0;do if(j){if(a[j+81>>0]|0){h=h+1|0;break}if(!u)g=g+((c[k+8>>2]|0)!=0&1)|0}while(0);j=c[k+96>>2]|0;do if(j){if(a[j+81>>0]|0){h=h+1|0;break}if(!u)g=g+((c[k+8>>2]|0)!=0&1)|0}while(0);m=Rm(e,m)|0}n=eo(e,n)|0;j=g}if(!(a[(c[o>>2]|0)+113>>0]&8))o=0;else o=Rx(e)|0;t=j+i|0;if(t|0){q=h+j+o+(mn(e)|0)|0;r=vw(q*40|0)|0;s=vw(t*40|0)|0;Ix(M,2147483647.0,2147483647.0);g=M+16|0;Ix(p,-2147483647.0,-2147483647.0);c[g>>2]=c[p>>2];c[g+4>>2]=c[p+4>>2];c[g+8>>2]=c[p+8>>2];c[g+12>>2]=c[p+12>>2];g=s;i=r;n=co(e)|0;while(1){if(!n)break;c[L>>2]=c[M>>2];c[L+4>>2]=c[M+4>>2];c[L+8>>2]=c[M+8>>2];c[L+12>>2]=c[M+12>>2];c[L+16>>2]=c[M+16>>2];c[L+20>>2]=c[M+20>>2];c[L+24>>2]=c[M+24>>2];c[L+28>>2]=c[M+28>>2];Sx(C,n,i,L);c[M>>2]=c[C>>2];c[M+4>>2]=c[C+4>>2];c[M+8>>2]=c[C+8>>2];c[M+12>>2]=c[C+12>>2];c[M+16>>2]=c[C+16>>2];c[M+20>>2]=c[C+20>>2];c[M+24>>2]=c[C+24>>2];c[M+28>>2]=c[C+28>>2];h=c[(c[n+16>>2]|0)+108>>2]|0;do if(h)if(!(a[h+81>>0]|0)){c[L>>2]=c[B>>2];c[L+4>>2]=c[B+4>>2];c[L+8>>2]=c[B+8>>2];c[L+12>>2]=c[B+12>>2];Ux(h,i,g,0,L);g=g+40|0;break}else{i=i+40|0;c[L>>2]=c[M>>2];c[L+4>>2]=c[M+4>>2];c[L+8>>2]=c[M+8>>2];c[L+12>>2]=c[M+12>>2];c[L+16>>2]=c[M+16>>2];c[L+20>>2]=c[M+20>>2];c[L+24>>2]=c[M+24>>2];c[L+28>>2]=c[M+28>>2];Tx(D,h,i,L);c[M>>2]=c[D>>2];c[M+4>>2]=c[D+4>>2];c[M+8>>2]=c[D+8>>2];c[M+12>>2]=c[D+12>>2];c[M+16>>2]=c[D+16>>2];c[M+20>>2]=c[D+20>>2];c[M+24>>2]=c[D+24>>2];c[M+28>>2]=c[D+28>>2];break}while(0);m=Pm(e,n)|0;i=i+40|0;while(1){if(!m)break;k=m+16|0;h=c[k>>2]|0;j=c[h+96>>2]|0;a:do if(!j)v=52;else{do if(!(a[j+81>>0]|0)){if(!u?c[h+8>>2]|0:0){$z(F,e,m);c[L>>2]=c[F>>2];c[L+4>>2]=c[F+4>>2];c[L+8>>2]=c[F+8>>2];c[L+12>>2]=c[F+12>>2];Ux(j,i,g,1,L);g=g+40|0;break}c[H>>2]=c[j>>2];_l(0,88861,H)|0;break a}else{c[L>>2]=c[M>>2];c[L+4>>2]=c[M+4>>2];c[L+8>>2]=c[M+8>>2];c[L+12>>2]=c[M+12>>2];c[L+16>>2]=c[M+16>>2];c[L+20>>2]=c[M+20>>2];c[L+24>>2]=c[M+24>>2];c[L+28>>2]=c[M+28>>2];Tx(E,j,i,L);c[M>>2]=c[E>>2];c[M+4>>2]=c[E+4>>2];c[M+8>>2]=c[E+8>>2];c[M+12>>2]=c[E+12>>2];c[M+16>>2]=c[E+16>>2];c[M+20>>2]=c[E+20>>2];c[M+24>>2]=c[E+24>>2];c[M+28>>2]=c[E+28>>2]}while(0);i=i+40|0;h=c[k>>2]|0;v=52}while(0);b:do if((v|0)==52){v=0;j=c[h+104>>2]|0;if(j){do if(!(a[j+81>>0]|0)){if(!u?c[h+8>>2]|0:0){Vx(w,m);c[L>>2]=c[w>>2];c[L+4>>2]=c[w+4>>2];c[L+8>>2]=c[w+8>>2];c[L+12>>2]=c[w+12>>2];Ux(j,i,g,1,L);g=g+40|0;break}c[I>>2]=c[j>>2];_l(0,88896,I)|0;break b}else{c[L>>2]=c[M>>2];c[L+4>>2]=c[M+4>>2];c[L+8>>2]=c[M+8>>2];c[L+12>>2]=c[M+12>>2];c[L+16>>2]=c[M+16>>2];c[L+20>>2]=c[M+20>>2];c[L+24>>2]=c[M+24>>2];c[L+28>>2]=c[M+28>>2];Tx(G,j,i,L);c[M>>2]=c[G>>2];c[M+4>>2]=c[G+4>>2];c[M+8>>2]=c[G+8>>2];c[M+12>>2]=c[G+12>>2];c[M+16>>2]=c[G+16>>2];c[M+20>>2]=c[G+20>>2];c[M+24>>2]=c[G+24>>2];c[M+28>>2]=c[G+28>>2]}while(0);i=i+40|0;h=c[k>>2]|0}j=c[h+100>>2]|0;if(j){do if(!(a[j+81>>0]|0)){if(!u?c[h+8>>2]|0:0){Wx(y,m);c[L>>2]=c[y>>2];c[L+4>>2]=c[y+4>>2];c[L+8>>2]=c[y+8>>2];c[L+12>>2]=c[y+12>>2];Ux(j,i,g,1,L);g=g+40|0;break}c[J>>2]=c[j>>2];_l(0,88936,J)|0;break b}else{c[L>>2]=c[M>>2];c[L+4>>2]=c[M+4>>2];c[L+8>>2]=c[M+8>>2];c[L+12>>2]=c[M+12>>2];c[L+16>>2]=c[M+16>>2];c[L+20>>2]=c[M+20>>2];c[L+24>>2]=c[M+24>>2];c[L+28>>2]=c[M+28>>2];Tx(x,j,i,L);c[M>>2]=c[x>>2];c[M+4>>2]=c[x+4>>2];c[M+8>>2]=c[x+8>>2];c[M+12>>2]=c[x+12>>2];c[M+16>>2]=c[x+16>>2];c[M+20>>2]=c[x+20>>2];c[M+24>>2]=c[x+24>>2];c[M+28>>2]=c[x+28>>2]}while(0);i=i+40|0;h=c[k>>2]|0}j=c[h+108>>2]|0;if(j){do if(!(a[j+81>>0]|0)){if(!u?c[h+8>>2]|0:0){$z(A,e,m);c[L>>2]=c[A>>2];c[L+4>>2]=c[A+4>>2];c[L+8>>2]=c[A+8>>2];c[L+12>>2]=c[A+12>>2];Ux(j,i,g,1,L);g=g+40|0;break}c[K>>2]=c[j>>2];_l(0,88976,K)|0;break b}else{c[L>>2]=c[M>>2];c[L+4>>2]=c[M+4>>2];c[L+8>>2]=c[M+8>>2];c[L+12>>2]=c[M+12>>2];c[L+16>>2]=c[M+16>>2];c[L+20>>2]=c[M+20>>2];c[L+24>>2]=c[M+24>>2];c[L+28>>2]=c[M+28>>2];Tx(z,j,i,L);c[M>>2]=c[z>>2];c[M+4>>2]=c[z+4>>2];c[M+8>>2]=c[z+8>>2];c[M+12>>2]=c[z+12>>2];c[M+16>>2]=c[z+16>>2];c[M+20>>2]=c[z+20>>2];c[M+24>>2]=c[z+24>>2];c[M+28>>2]=c[z+28>>2]}while(0);i=i+40|0}}while(0);m=Rm(e,m)|0}n=eo(e,n)|0}if(o|0){c[f>>2]=c[M>>2];c[f+4>>2]=c[M+4>>2];c[f+8>>2]=c[M+8>>2];c[f+12>>2]=c[M+12>>2];c[f+16>>2]=c[M+16>>2];c[f+20>>2]=c[M+20>>2];c[f+24>>2]=c[M+24>>2];c[f+28>>2]=c[M+28>>2];c[f+32>>2]=i;h=L;g=h+40|0;do{c[h>>2]=c[f>>2];h=h+4|0;f=f+4|0}while((h|0)<(g|0));Xx(N,e,L);c[M>>2]=c[N>>2];c[M+4>>2]=c[N+4>>2];c[M+8>>2]=c[N+8>>2];c[M+12>>2]=c[N+12>>2];c[M+16>>2]=c[N+16>>2];c[M+20>>2]=c[N+20>>2];c[M+24>>2]=c[N+24>>2];c[M+28>>2]=c[N+28>>2]}a[O+32>>0]=HA(e,ym(e,0,89012,0)|0,1)|0;c[O>>2]=c[M>>2];c[O+4>>2]=c[M+4>>2];c[O+8>>2]=c[M+8>>2];c[O+12>>2]=c[M+12>>2];c[O+16>>2]=c[M+16>>2];c[O+20>>2]=c[M+20>>2];c[O+24>>2]=c[M+24>>2];c[O+28>>2]=c[M+28>>2];zE(r,q,s,t,O)|0;if(0)Yx(r,q,s,t,O);f=0;g=0;h=s;while(1){if((g|0)>=(t|0))break;if(a[h+36>>0]|0){O=c[h+32>>2]|0;a[O+81>>0]=1;N=O+56|0;Zx(P,h);c[N>>2]=c[P>>2];c[N+4>>2]=c[P+4>>2];c[N+8>>2]=c[P+8>>2];c[N+12>>2]=c[P+12>>2];bB(e,O);f=f+1|0}g=g+1|0;h=h+40|0}if(!0){if((f|0)!=(t|0)){c[R>>2]=f;c[R+4>>2]=t;_l(0,89057,R)|0}}else{R=c[13918]|0;c[Q>>2]=f;c[Q+4>>2]=t;zL(R,89024,Q)|0}_I(r);_I(s)}}l=S;return}function Ox(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0,j=0;i=l;l=l+48|0;e=i+32|0;f=i+16|0;g=i;if(+h[20897]!=0.0|+h[20898]!=0.0|(c[42309]|0)!=0){d=co(a)|0;while(1){if(!d)break;if(c[42309]|0)KB(d,0);b=d+16|0;j=(c[b>>2]|0)+16|0;c[e>>2]=c[j>>2];c[e+4>>2]=c[j+4>>2];c[e+8>>2]=c[j+8>>2];c[e+12>>2]=c[j+12>>2];Jx(f,e);c[j>>2]=c[f>>2];c[j+4>>2]=c[f+4>>2];c[j+8>>2]=c[f+8>>2];c[j+12>>2]=c[f+12>>2];b=c[(c[b>>2]|0)+108>>2]|0;if(b|0){j=b+56|0;c[e>>2]=c[j>>2];c[e+4>>2]=c[j+4>>2];c[e+8>>2]=c[j+8>>2];c[e+12>>2]=c[j+12>>2];Jx(g,e);c[j>>2]=c[g>>2];c[j+4>>2]=c[g+4>>2];c[j+8>>2]=c[g+8>>2];c[j+12>>2]=c[g+12>>2]}a:do if((c[42181]|0)==1){b=Pm(a,d)|0;while(1){if(!b)break a;Qx(b);b=Rm(a,b)|0}}while(0);d=eo(a,d)|0}Hx(a,c[(c[a+16>>2]|0)+116>>2]&3)}l=i;return}function Px(b,d){b=b|0;d=d|0;var e=0.0,f=0.0,g=0,i=0,j=0;i=b+16|0;j=c[i>>2]|0;g=a[j+275>>0]|0;b=g<<24>>24;do if(!(b&4)){e=+h[j+16>>3];if(!(b&2)){f=(+h[j+32>>3]+e)*.5;break}else{f=+h[d>>3]*.5+e;break}}else f=+h[j+32>>3]-+h[d>>3]*.5;while(0);if(!(g&1))e=+h[d+8>>3]*.5+ +h[j+24>>3];else e=+h[j+40>>3]-+h[d+8>>3]*.5;j=c[j+12>>2]|0;h[j+56>>3]=f;h[j+64>>3]=e;a[(c[(c[i>>2]|0)+12>>2]|0)+81>>0]=1;return}function Qx(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;s=l;l=l+144|0;q=s+120|0;e=s+16|0;i=s+104|0;j=s+88|0;k=s+72|0;m=s+56|0;n=s+40|0;o=s+24|0;r=s;p=b+16|0;d=c[p>>2]|0;f=c[d+8>>2]|0;if(!f){if((a[174076]|0)==0?(a[d+112>>0]|0)!=6:0){q=Dn(c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)|0;r=Dn(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0;c[e>>2]=q;c[e+4>>2]=r;_l(1,88844,e)|0}}else{h=0;b=f;while(1){if((h|0)>=(c[b+4>>2]|0))break;g=c[b>>2]|0;b=c[g+(h*48|0)>>2]|0;e=c[g+(h*48|0)+4>>2]|0;f=c[g+(h*48|0)+8>>2]|0;g=c[g+(h*48|0)+12>>2]|0;d=0;while(1){if((d|0)>=(e|0))break;t=b+(d<<4)|0;c[q>>2]=c[t>>2];c[q+4>>2]=c[t+4>>2];c[q+8>>2]=c[t+8>>2];c[q+12>>2]=c[t+12>>2];Jx(i,q);c[t>>2]=c[i>>2];c[t+4>>2]=c[i+4>>2];c[t+8>>2]=c[i+8>>2];c[t+12>>2]=c[i+12>>2];d=d+1|0}if(f|0){t=(c[c[(c[p>>2]|0)+8>>2]>>2]|0)+(h*48|0)+16|0;c[q>>2]=c[t>>2];c[q+4>>2]=c[t+4>>2];c[q+8>>2]=c[t+8>>2];c[q+12>>2]=c[t+12>>2];Jx(j,q);c[t>>2]=c[j>>2];c[t+4>>2]=c[j+4>>2];c[t+8>>2]=c[j+8>>2];c[t+12>>2]=c[j+12>>2]}if(g|0){t=(c[c[(c[p>>2]|0)+8>>2]>>2]|0)+(h*48|0)+32|0;c[q>>2]=c[t>>2];c[q+4>>2]=c[t+4>>2];c[q+8>>2]=c[t+8>>2];c[q+12>>2]=c[t+12>>2];Jx(k,q);c[t>>2]=c[k>>2];c[t+4>>2]=c[k+4>>2];c[t+8>>2]=c[k+8>>2];c[t+12>>2]=c[k+12>>2]}d=c[p>>2]|0;h=h+1|0;b=c[d+8>>2]|0}b=c[d+96>>2]|0;if(b){d=b+56|0;c[q>>2]=c[d>>2];c[q+4>>2]=c[d+4>>2];c[q+8>>2]=c[d+8>>2];c[q+12>>2]=c[d+12>>2];Jx(m,q);c[d>>2]=c[m>>2];c[d+4>>2]=c[m+4>>2];c[d+8>>2]=c[m+8>>2];c[d+12>>2]=c[m+12>>2];d=c[p>>2]|0}b=c[d+108>>2]|0;if(b){d=b+56|0;c[q>>2]=c[d>>2];c[q+4>>2]=c[d+4>>2];c[q+8>>2]=c[d+8>>2];c[q+12>>2]=c[d+12>>2];Jx(n,q);c[d>>2]=c[n>>2];c[d+4>>2]=c[n+4>>2];c[d+8>>2]=c[n+8>>2];c[d+12>>2]=c[n+12>>2];d=c[p>>2]|0}b=c[d+100>>2]|0;if(b){d=b+56|0;c[q>>2]=c[d>>2];c[q+4>>2]=c[d+4>>2];c[q+8>>2]=c[d+8>>2];c[q+12>>2]=c[d+12>>2];Jx(o,q);c[d>>2]=c[o>>2];c[d+4>>2]=c[o+4>>2];c[d+8>>2]=c[o+8>>2];c[d+12>>2]=c[o+12>>2];d=c[p>>2]|0}d=c[d+104>>2]|0;if(d|0){t=d+56|0;c[q>>2]=c[t>>2];c[q+4>>2]=c[t+4>>2];c[q+8>>2]=c[t+8>>2];c[q+12>>2]=c[t+12>>2];Jx(r,q);c[t>>2]=c[r>>2];c[t+4>>2]=c[r+4>>2];c[t+8>>2]=c[r+8>>2];c[t+12>>2]=c[r+12>>2]}}l=s;return}function Rx(b){b=b|0;var d=0,e=0,f=0;f=b+16|0;if((so(b)|0)!=(b|0)?(d=c[(c[f>>2]|0)+12>>2]|0,(d|0)!=0):0){e=1;b=(a[d+81>>0]|0)!=0&1}else{e=1;b=0}while(1){d=c[f>>2]|0;if((e|0)>(c[d+180>>2]|0))break;d=(Rx(c[(c[d+184>>2]|0)+(e<<2)>>2]|0)|0)+b|0;e=e+1|0;b=d}return b|0}function Sx(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0.0,k=0.0,m=0,n=0;g=l;l=l+32|0;i=g;n=(a[174079]|0)==0;d=d+16|0;m=c[d>>2]|0;k=+h[(n?m+32|0:m+40|0)>>3];h[e+16>>3]=k*72.0;j=+h[(n?m+40|0:m+32|0)>>3];h[e+24>>3]=j*72.0;d=(c[d>>2]|0)+16|0;c[e>>2]=c[d>>2];c[e+4>>2]=c[d+4>>2];c[e+8>>2]=c[d+8>>2];c[e+12>>2]=c[d+12>>2];h[e>>3]=+h[e>>3]-k*36.0;d=e+8|0;h[d>>3]=+h[d>>3]-j*36.0;c[i>>2]=c[f>>2];c[i+4>>2]=c[f+4>>2];c[i+8>>2]=c[f+8>>2];c[i+12>>2]=c[f+12>>2];c[i+16>>2]=c[f+16>>2];c[i+20>>2]=c[f+20>>2];c[i+24>>2]=c[f+24>>2];c[i+28>>2]=c[f+28>>2];_x(b,e,i);l=g;return}function Tx(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0.0,k=0.0,m=0,n=0;g=l;l=l+32|0;i=g;n=(a[174079]|0)==0;m=d+24|0;k=+h[(n?m:d+32|0)>>3];h[e+16>>3]=k;j=+h[(n?d+32|0:m)>>3];h[e+24>>3]=j;d=d+56|0;c[e>>2]=c[d>>2];c[e+4>>2]=c[d+4>>2];c[e+8>>2]=c[d+8>>2];c[e+12>>2]=c[d+12>>2];h[e>>3]=+h[e>>3]-k*.5;d=e+8|0;h[d>>3]=+h[d>>3]-j*.5;c[i>>2]=c[f>>2];c[i+4>>2]=c[f+4>>2];c[i+8>>2]=c[f+8>>2];c[i+12>>2]=c[f+12>>2];c[i+16>>2]=c[f+16>>2];c[i+20>>2]=c[f+20>>2];c[i+24>>2]=c[f+24>>2];c[i+28>>2]=c[f+28>>2];_x(b,e,i);l=g;return}function Ux(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;if(f|0){f=d+16|0;c[f>>2]=0;c[f+4>>2]=0;c[f+8>>2]=0;c[f+12>>2]=0;c[d>>2]=c[g>>2];c[d+4>>2]=c[g+4>>2];c[d+8>>2]=c[g+8>>2];c[d+12>>2]=c[g+12>>2]}if(!(a[174079]|0)){g=b+24|0;c[e>>2]=c[g>>2];c[e+4>>2]=c[g+4>>2];c[e+8>>2]=c[g+8>>2];c[e+12>>2]=c[g+12>>2]}else{h[e>>3]=+h[b+32>>3];h[e+8>>3]=+h[b+24>>3]}c[e+32>>2]=b;a[e+36>>0]=0;c[d+32>>2]=e;return}function Vx(a,b){a=a|0;b=b|0;b=_z(b)|0;do if(b){b=c[b>>2]|0;if(!(c[b+8>>2]|0)){b=c[b>>2]|0;c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];break}else{b=b+16|0;c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];break}}else{c[a>>2]=0;c[a+4>>2]=0;c[a+8>>2]=0;c[a+12>>2]=0}while(0);return}function Wx(a,b){a=a|0;b=b|0;var d=0;b=_z(b)|0;do if(b){d=c[b>>2]|0;b=(c[b+4>>2]|0)+-1|0;if(!(c[d+(b*48|0)+12>>2]|0)){d=(c[d+(b*48|0)>>2]|0)+((c[d+(b*48|0)+4>>2]|0)+-1<<4)|0;c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];break}else{d=d+(b*48|0)+32|0;c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];break}}else{c[a>>2]=0;c[a+4>>2]=0;c[a+8>>2]=0;c[a+12>>2]=0}while(0);return}function Xx(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;q=l;l=l+112|0;k=q+72|0;n=q+32|0;o=q;p=d+16|0;j=1;while(1){f=c[p>>2]|0;if((j|0)>(c[f+180>>2]|0))break;f=c[(c[f+184>>2]|0)+(j<<2)>>2]|0;g=k;h=e;i=g+40|0;do{c[g>>2]=c[h>>2];g=g+4|0;h=h+4|0}while((g|0)<(i|0));Xx(n,f,k);g=e;h=n;i=g+40|0;do{c[g>>2]=c[h>>2];g=g+4|0;h=h+4|0}while((g|0)<(i|0));j=j+1|0}if(((so(d)|0)!=(d|0)?(m=c[(c[p>>2]|0)+12>>2]|0,m|0):0)?a[m+81>>0]|0:0){p=e+32|0;n=c[p>>2]|0;c[k>>2]=c[e>>2];c[k+4>>2]=c[e+4>>2];c[k+8>>2]=c[e+8>>2];c[k+12>>2]=c[e+12>>2];c[k+16>>2]=c[e+16>>2];c[k+20>>2]=c[e+20>>2];c[k+24>>2]=c[e+24>>2];c[k+28>>2]=c[e+28>>2];Tx(o,m,n,k);c[e>>2]=c[o>>2];c[e+4>>2]=c[o+4>>2];c[e+8>>2]=c[o+8>>2];c[e+12>>2]=c[o+12>>2];c[e+16>>2]=c[o+16>>2];c[e+20>>2]=c[o+20>>2];c[e+24>>2]=c[o+24>>2];c[e+28>>2]=c[o+28>>2];c[p>>2]=(c[p>>2]|0)+40}g=b;h=e;i=g+40|0;do{c[g>>2]=c[h>>2];g=g+4|0;h=h+4|0}while((g|0)<(i|0));l=q;return}function Yx(a,b,e,f,g){a=a|0;b=b|0;e=e|0;f=f|0;g=g|0;var i=0.0,j=0.0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0;s=l;l=l+160|0;r=s+96|0;p=s+48|0;o=s;q=c[13918]|0;n=d[g+32>>0]|0;i=+h[g>>3];j=+h[g+8>>3];k=+h[g+16>>3];m=+h[g+24>>3];c[o>>2]=b;c[o+4>>2]=f;c[o+8>>2]=n;h[o+16>>3]=i;h[o+24>>3]=j;h[o+32>>3]=k;h[o+40>>3]=m;zL(q,89099,o)|0;a:do if(0>=2){XL(89159,8,1,q)|0;o=0;while(1){if((o|0)>=(b|0))break;g=c[a+32>>2]|0;i=+h[a>>3];j=+h[a+8>>3];k=+h[a+16>>3];m=+h[a+24>>3];if(!g)n=174181;else n=c[c[g+32>>2]>>2]|0;c[p>>2]=o;h[p+8>>3]=i;h[p+16>>3]=j;h[p+24>>3]=k;h[p+32>>3]=m;c[p+40>>2]=g;c[p+44>>2]=n;zL(q,89168,p)|0;o=o+1|0;a=a+40|0}XL(89211,8,1,q)|0;g=0;while(1){if((g|0)>=(f|0))break a;b=d[e+36>>0]|0;i=+h[e+16>>3];j=+h[e+24>>3];k=+h[e>>3];m=+h[e+8>>3];p=c[c[e+32>>2]>>2]|0;c[r>>2]=g;c[r+4>>2]=e;c[r+8>>2]=b;h[r+16>>3]=i;h[r+24>>3]=j;h[r+32>>3]=k;h[r+40>>3]=m;c[r+48>>2]=p;zL(q,89220,r)|0;e=e+40|0;g=g+1|0}}while(0);l=s;return}function Zx(a,b){a=a|0;b=b|0;var c=0.0;c=+h[b+8>>3]*.5+ +h[b+24>>3];h[a>>3]=+h[b>>3]*.5+ +h[b+16>>3];h[a+8>>3]=c;return}function _x(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0.0,j=0.0;e=l;l=l+16|0;f=e;j=+h[b>>3];h[d>>3]=+h[(+h[d>>3]<j?d:b)>>3];g=d+8|0;i=+h[b+8>>3];h[g>>3]=+h[(+h[g>>3]<i?d:b)+8>>3];j=+h[b+16>>3]+j;h[f>>3]=j;i=+h[b+24>>3]+i;h[f+8>>3]=i;g=d+16|0;h[g>>3]=+h[(+h[g>>3]>j?g:f)>>3];b=d+24|0;h[b>>3]=+h[(+h[b>>3]>i?g:f)+8>>3];c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];c[a+16>>2]=c[d+16>>2];c[a+20>>2]=c[d+20>>2];c[a+24>>2]=c[d+24>>2];c[a+28>>2]=c[d+28>>2];l=e;return}function $x(a){a=a|0;Kx(a,1);return}function ay(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;e=l;l=l+16|0;d=e;b=RA(Im(a,90560)|0)|0;if(b){b=by(b)|0;if(b|0){f=c[b+40>>2]|0;d=c[b+44>>2]|0;g=a+16|0;a=c[g>>2]|0;h[a+32>>3]=+(f|0)*.013888888888888888;h[a+40>>3]=+(d|0)*.013888888888888888;a=vw(12)|0;c[(c[g>>2]|0)+12>>2]=a;c[a>>2]=c[b+12>>2];c[a+4>>2]=((f|0)/-2|0)-(c[b+32>>2]|0);c[a+8>>2]=((d|0)/-2|0)-(c[b+36>>2]|0)}}else{c[d>>2]=Dn(a)|0;_l(0,89268,d)|0}l=e;return}function by(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;p=l;l=l+1152|0;i=p+24|0;h=p+8|0;e=p;f=p+120|0;j=p+44|0;k=p+40|0;m=p+36|0;n=p+32|0;o=p+28|0;d=c[42310]|0;if(!d){d=Ql(19832,c[4345]|0)|0;c[42310]=d}d=bb[c[d>>2]&31](d,b,512)|0;do if(!d){g=aM(b,123632)|0;if(!g){c[e>>2]=b;_l(0,89317,e)|0;d=0;break}else{d=0;e=0}while(1){if(!(gL(f,1024,g)|0)){f=11;break}c[h>>2]=k;c[h+4>>2]=m;c[h+8>>2]=n;c[h+12>>2]=o;q=(cM(f,89345,h)|0)==4;e=q?1:e;if((a[f>>0]|0)!=37){q=(hL(f,89374)|0)==0;d=q?d:1}if((e|0)!=0&(d|0)!=0){f=12;break}}if((f|0)==11)if(!e){c[i>>2]=b;_l(0,89379,i)|0;d=0}else f=12;if((f|0)==12){q=ww(64)|0;k=c[k>>2]|0;c[q+32>>2]=k;m=c[m>>2]|0;c[q+40>>2]=(c[n>>2]|0)-k;c[q+36>>2]=(c[o>>2]|0)-m;c[q+8>>2]=b;o=c[42311]|0;c[42311]=o+1;c[q+12>>2]=o;_L(zN(g)|0,j)|0;o=c[j+36>>2]|0;n=ww(o+1|0)|0;c[q+52>>2]=n;oM(g,0,0)|0;wN(n,o,1,g)|0;a[n+o>>0]=0;o=c[42310]|0;bb[c[o>>2]&31](o,q,1)|0;a[q+16>>0]=d;d=q}LL(g)|0}while(0);l=p;return d|0}function cy(a,b,d){a=a|0;b=b|0;d=d|0;_I(c[b+52>>2]|0);return}function dy(a){a=a|0;_I(c[(c[a+16>>2]|0)+12>>2]|0);return}function ey(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+16|0;m=n+8|0;k=n;j=(d|0)!=0;a:do if(j){h=0;f=0;b:while(1)while(1){if(h)break a;g=c[d+(f<<2)>>2]|0;if(!g){i=6;break a}f=f+1|0;if(!(a[g>>0]|0)){h=1;continue b}}}else i=6;while(0);c:do if((i|0)==6)while(1){f=c[e>>2]|0;if(!f)break c;mr(b,f)|0;mr(b,134901)|0;e=e+4|0;i=6}while(0);d:do if(j){h=0;while(1){f=c[d+(h<<2)>>2]|0;if(!f)break d;do if(a[f>>0]|0){e=RA(f)|0;if(!e){c[k>>2]=f;_l(0,89418,k)|0;break}g=aM(e,123632)|0;if(!g){c[m>>2]=e;_l(0,89446,m)|0;break}while(1){f=QA(g)|0;if(!f)break;mr(b,f)|0}mr(b,134901)|0;LL(g)|0}while(0);h=h+1|0}}while(0);l=n;return}function fy(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;d=c[d+52>>2]|0;a:while(1){e=a[d>>0]|0;b:do switch(e<<24>>24){case 0:break a;case 37:{if((a[d+1>>0]|0)==37){e=d+2|0;if((((pK(e,89474,3)|0)!=0?(pK(e,89478,5)|0)!=0:0)?(pK(e,89484,3)|0)!=0:0)?(pK(e,89488,7)|0)!=0:0){e=37;break b}else g=37;c:while(1){switch(g<<24>>24){case 13:{f=10;break c}case 10:case 0:{f=12;break c}default:{}}g=d+1|0;d=g;g=a[g>>0]|0}if((f|0)==10){e=d+1|0;if((a[e>>0]|0)==10){d=d+2|0;continue a}}else if((f|0)==12)e=d+1|0;d=g<<24>>24==0?d:e;continue a}else e=37;break}default:{}}while(0);d:while(1){switch(e<<24>>24){case 10:case 13:case 0:break d;default:{}}nr(b,e<<24>>24)|0;g=d+1|0;d=g;e=a[g>>0]|0}f=d+1|0;if(e<<24>>24==13?(a[f>>0]|0)==10:0)d=d+2|0;else d=e<<24>>24==0?d:f;nr(b,10)|0}return}function gy(b){b=b|0;var d=0,e=0,f=0,g=0;f=l;l=l+16|0;e=f;d=c[42310]|0;a:do if(d|0){d=bb[c[d>>2]&31](d,0,128)|0;while(1){if(!d)break a;if(!(a[d+16>>0]|0)){c[e>>2]=c[d+12>>2];sr(b,89496,e);mr(b,89514)|0;fy(b,d);mr(b,89532)|0;mr(b,89547)|0}g=c[42310]|0;d=bb[c[g>>2]&31](g,d,8)|0}}while(0);l=f;return}function hy(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0;g=l;l=l+16|0;e=g;a:do switch(d|0){case 0:{f=b;break}case 1:{f=zB(b)|0;break}default:{switch(iy(b)|0){case 2:break;case 1:{f=zB(b)|0;break a}default:{f=b;break a}}if(!(c[42312]|0)){_l(0,89559,e)|0;c[42312]=1;f=b}else f=b}}while(0);if(!(c[42313]|0))cm(169252,0,0);d=c[42314]|0;if(d>>>0>=(c[42315]|0)>>>0){dm(169252,1)|0;d=c[42314]|0}c[42314]=d+1;a[d>>0]=40;e=f;b:while(1){switch(a[e>>0]|0){case 0:break b;case 92:case 41:case 40:{d=c[42314]|0;if(d>>>0>=(c[42315]|0)>>>0){dm(169252,1)|0;d=c[42314]|0}c[42314]=d+1;a[d>>0]=92;break}default:{}}d=c[42314]|0;if(d>>>0>=(c[42315]|0)>>>0){dm(169252,1)|0;d=c[42314]|0}h=a[e>>0]|0;c[42314]=d+1;a[d>>0]=h;e=e+1|0}d=c[42314]|0;if(d>>>0>=(c[42315]|0)>>>0){dm(169252,1)|0;d=c[42314]|0}c[42314]=d+1;a[d>>0]=41;if((f|0)!=(b|0))_I(f);d=c[42314]|0;if(d>>>0>=(c[42315]|0)>>>0){dm(169252,1)|0;d=c[42314]|0}a[d>>0]=0;h=c[42313]|0;c[42314]=h;l=g;return h|0}function iy(b){b=b|0;var c=0,d=0;c=0;a:while(1){while(1){d=a[b>>0]|0;if(!(d<<24>>24))break a;if((d&255)<127)b=b+1|0;else break}if((d&-4)<<24>>24==-64){c=1;b=b+2|0}else{c=2;break}}return c|0}function jy(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;n=l;l=l+96|0;i=n+80|0;j=n+72|0;m=n+64|0;g=n+32|0;k=n;h[g>>3]=+h[a>>3];h[g+8>>3]=+h[a+8>>3];h[g+16>>3]=+h[b>>3];h[g+24>>3]=+h[b+8>>3];do if((DI(d,g,j)|0)>=0){if(!f){b=d+4|0;a=c[b>>2]|0;f=c[42318]|0;if((a|0)>(c[42317]|0)){if(!f)a=ww(a<<5)|0;else a=yw(f,a<<5)|0;c[42318]=a;g=c[b>>2]|0;c[42317]=g;f=a}else g=a;b=c[d>>2]|0;a=0;while(1){if((a|0)>=(g|0))break;o=f+(a<<5)|0;d=b+(a<<4)|0;c[o>>2]=c[d>>2];c[o+4>>2]=c[d+4>>2];c[o+8>>2]=c[d+8>>2];c[o+12>>2]=c[d+12>>2];o=f+(a<<5)+16|0;d=a+1|0;p=b+(((d|0)%(g|0)|0)<<4)|0;c[o>>2]=c[p>>2];c[o+4>>2]=c[p+4>>2];c[o+8>>2]=c[p+8>>2];c[o+12>>2]=c[p+12>>2];a=d}c[k>>2]=0;c[k+4>>2]=0;c[k+8>>2]=0;c[k+12>>2]=0;c[k+16>>2]=0;c[k+20>>2]=0;c[k+24>>2]=0;c[k+28>>2]=0;c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];if((hI(f,g,i,k,m)|0)<0){a=0;break}}else{c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];YI(i,m)}a=m+4|0;if(!(ky(c[a>>2]|0)|0)){g=c[a>>2]|0;a=c[42319]|0;f=c[m>>2]|0;b=0;while(1){if((b|0)>=(g|0))break;p=a+(b<<4)|0;o=f+(b<<4)|0;c[p>>2]=c[o>>2];c[p+4>>2]=c[o+4>>2];c[p+8>>2]=c[o+8>>2];c[p+12>>2]=c[o+12>>2];b=b+1|0}c[e>>2]=g}else a=0}else a=0;while(0);l=n;return a|0}function ky(a){a=a|0;var b=0,d=0,e=0;e=l;l=l+16|0;d=e;b=c[42320]|0;do if((b|0)<(a|0)){a=a+300-((a|0)%300|0)+b|0;b=yw(c[42319]|0,a<<4)|0;c[42319]=b;if(!b){_l(1,89649,d)|0;a=1;break}else{c[42320]=a;a=0;break}}else a=0;while(0);l=e;return a|0}function ly(){var a=0,b=0,d=0;b=l;l=l+16|0;a=b;d=c[42321]|0;c[42321]=d+1;do if((d|0)<=0){d=ww(4800)|0;c[42319]=d;if(!d){_l(1,89672,a)|0;a=1;break}c[42320]=300;c[42322]=0;c[42323]=0;if(0){xA();a=0}else a=0}else a=0;while(0);l=b;return a|0}function my(){var a=0,b=0,d=0,e=0.0,f=0,g=0;b=l;l=l+16|0;a=b;d=c[42321]|0;c[42321]=d+-1;if((d|0)<=1?(_I(c[42319]|0),0):0){d=c[13918]|0;g=c[42322]|0;f=c[42323]|0;e=+yA();c[a>>2]=g;c[a+4>>2]=f;h[a+8>>3]=e;zL(d,89710,a)|0}l=b;return}function ny(a,b){a=a|0;b=b|0;return oy(a,b,0)|0}function oy(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0;L=l;l=l+176|0;G=L+168|0;K=L+128|0;x=L+120|0;v=L+112|0;i=L+104|0;s=L+88|0;n=L+72|0;g=L+64|0;t=L+160|0;I=L+152|0;y=L+144|0;u=L+32|0;w=L;J=L+136|0;c[42322]=(c[42322]|0)+1;H=c[b+80>>2]|0;c[42323]=(c[42323]|0)+H;f=b+88|0;while(1){C=c[f>>2]|0;if(!C){D=4;break}f=c[C+16>>2]|0;if(!(a[f+112>>0]|0)){D=5;break}else f=f+116|0}do if((D|0)==4){_l(1,89753,g)|0;f=0}else if((D|0)==5){B=c[b+84>>2]|0;if(!(py(H,B,b)|0)){g=H<<3;if((g|0)>(c[42324]|0)){f=c[42325]|0;if(!f)f=ww(H<<7)|0;else f=yw(f,H<<7)|0;c[42325]=f;c[42324]=g}a:do if((H|0)>1?+h[B+8>>3]>+h[B+40>>3]:0){f=0;while(1){if((f|0)==(H|0)){p=1;break a}z=B+(f<<5)+24|0;m=+h[z>>3];A=B+(f<<5)+8|0;h[z>>3]=-+h[A>>3];h[A>>3]=-m;f=f+1|0}}else p=0;while(0);r=c[C>>2]&3;z=C+48|0;f=c[((r|0)==3?C:z)+40>>2]|0;A=C+-48|0;if((f|0)==(c[((r|0)==2?C:A)+40>>2]|0)){c[i>>2]=Dn(f)|0;_l(1,89860,i)|0;f=0;break}o=H+-1|0;q=c[42325]|0;r=q;f=0;j=0;b:while(1){if((j|0)>=(H|0)){j=o;n=f;break}if((j|0)>0)g=+h[B+(j<<5)+8>>3]>+h[B+(j+-1<<5)+8>>3]?-1:1;else g=0;if((j|0)<(o|0))i=+h[B+(j+1<<5)+8>>3]>+h[B+(j<<5)+8>>3]?1:-1;else i=0;c:do if((g|0)!=(i|0))if((g|0)==1|(i|0)==-1){g=B+(j<<5)|0;h[q+(f<<4)>>3]=+h[g>>3];i=f+1|0;h[q+(f<<4)+8>>3]=+h[B+(j<<5)+24>>3];h[q+(i<<4)>>3]=+h[g>>3];g=B+(j<<5)+8|0;D=29;break}else{g=B+(j<<5)+16|0;h[q+(f<<4)>>3]=+h[g>>3];i=f+1|0;h[q+(f<<4)+8>>3]=+h[B+(j<<5)+8>>3];h[q+(i<<4)>>3]=+h[g>>3];g=B+(j<<5)+24|0;D=29;break}else{switch(g|0){case -1:break c;case 0:break;default:{D=28;break b}}g=B+(j<<5)|0;h[q+(f<<4)>>3]=+h[g>>3];i=f+1|0;h[q+(f<<4)+8>>3]=+h[B+(j<<5)+24>>3];h[q+(i<<4)>>3]=+h[g>>3];g=B+(j<<5)+8|0;D=29}while(0);if((D|0)==29){D=0;h[q+(i<<4)+8>>3]=+h[g>>3];f=f+2|0}j=j+1|0}if((D|0)==28){c[n>>2]=g;c[n+4>>2]=g;c[n+8>>2]=480;_l(1,89795,n)|0;f=0;break}d:while(1){if((j|0)<=-1)break;if((j|0)<(o|0))f=+h[B+(j<<5)+8>>3]>+h[B+(j+1<<5)+8>>3]?-1:1;else f=0;if((j|0)>0)g=+h[B+(j+-1<<5)+8>>3]>+h[B+(j<<5)+8>>3]?1:-1;else g=0;e:do if((f|0)!=(g|0))if((f|0)==1|(g|0)==-1){f=B+(j<<5)|0;h[q+(n<<4)>>3]=+h[f>>3];g=n+1|0;h[q+(n<<4)+8>>3]=+h[B+(j<<5)+24>>3];h[q+(g<<4)>>3]=+h[f>>3];f=B+(j<<5)+8|0;i=2;break}else{f=B+(j<<5)+16|0;h[q+(n<<4)>>3]=+h[f>>3];g=n+1|0;h[q+(n<<4)+8>>3]=+h[B+(j<<5)+8>>3];h[q+(g<<4)>>3]=+h[f>>3];f=B+(j<<5)+24|0;i=2;break}else switch(f|0){case 0:{f=B+(j<<5)+16|0;h[q+(n<<4)>>3]=+h[f>>3];g=n+1|0;h[q+(n<<4)+8>>3]=+h[B+(j<<5)+8>>3];h[q+(g<<4)>>3]=+h[f>>3];f=B+(j<<5)+24|0;i=2;break e}case -1:{N=B+(j<<5)+16|0;h[q+(n<<4)>>3]=+h[N>>3];f=B+(j<<5)+8|0;i=n+1|0;h[q+(n<<4)+8>>3]=+h[f>>3];h[q+(i<<4)>>3]=+h[N>>3];N=B+(j<<5)+24|0;M=n+2|0;h[q+(i<<4)+8>>3]=+h[N>>3];i=B+(j<<5)|0;h[q+(M<<4)>>3]=+h[i>>3];g=n+3|0;h[q+(M<<4)+8>>3]=+h[N>>3];h[q+(g<<4)>>3]=+h[i>>3];i=4;break e}default:{D=42;break d}}while(0);h[q+(g<<4)+8>>3]=+h[f>>3];j=j+-1|0;n=n+i|0}if((D|0)==42){c[s>>2]=f;c[s+4>>2]=f;c[s+8>>2]=513;_l(1,89795,s)|0;f=0;break}f:do if(!p)f=0;else{f=0;while(1){if((f|0)>=(H|0)){f=0;break}M=B+(f<<5)+24|0;m=+h[M>>3];N=B+(f<<5)+8|0;h[M>>3]=-+h[N>>3];h[N>>3]=-m;f=f+1|0}while(1){if((f|0)>=(n|0)){f=0;break f}N=q+(f<<4)+8|0;h[N>>3]=-+h[N>>3];f=f+1|0}}while(0);while(1){if((f|0)>=(H|0))break;h[B+(f<<5)>>3]=2147483647.0;h[B+(f<<5)+16>>3]=-2147483648.0;f=f+1|0}c[t>>2]=r;i=t+4|0;c[i>>2]=n;h[u>>3]=+h[b>>3];h[u+8>>3]=+h[b+8>>3];h[u+16>>3]=+h[b+40>>3];h[u+24>>3]=+h[b+48>>3];if((DI(t,u,I)|0)<0){_l(1,89899,v)|0;f=0;break}if(!e){g=c[i>>2]|0;f=c[42318]|0;if((g|0)>(c[42317]|0)){if(!f)f=ww(g<<5)|0;else f=yw(f,g<<5)|0;c[42318]=f;g=c[i>>2]|0;c[42317]=g}j=c[42325]|0;i=0;while(1){if((i|0)>=(g|0))break;M=f+(i<<5)|0;N=j+(i<<4)|0;c[M>>2]=c[N>>2];c[M+4>>2]=c[N+4>>2];c[M+8>>2]=c[N+8>>2];c[M+12>>2]=c[N+12>>2];M=f+(i<<5)+16|0;N=i+1|0;v=j+(((N|0)%(g|0)|0)<<4)|0;c[M>>2]=c[v>>2];c[M+4>>2]=c[v+4>>2];c[M+8>>2]=c[v+8>>2];c[M+12>>2]=c[v+12>>2];i=N}if(!(a[b+29>>0]|0)){k=0.0;m=0.0}else{m=+h[b+16>>3];k=+E(+m);m=+F(+m)}h[w+8>>3]=m;h[w>>3]=k;if(!(a[b+69>>0]|0)){k=0.0;m=0.0}else{m=+h[b+56>>3];k=-+E(+m);m=-+F(+m)}h[w+24>>3]=m;h[w+16>>3]=k;c[G>>2]=c[I>>2];c[G+4>>2]=c[I+4>>2];if((hI(f,g,G,w,y)|0)<0){_l(1,89938,x)|0;f=0;break}}else{c[G>>2]=c[I>>2];c[G+4>>2]=c[I+4>>2];YI(G,y)}n=y+4|0;if(!(ky(c[n>>2]|0)|0)){f=0;while(1){if((f|0)>=(H|0))break;h[B+(f<<5)>>3]=2147483647.0;h[B+(f<<5)+16>>3]=-2147483648.0;f=f+1|0}i=c[n>>2]|0;j=c[42319]|0;g=c[y>>2]|0;f=0;while(1){if((f|0)>=(i|0)){i=1;f=10;g=0;break}N=j+(f<<4)|0;M=g+(f<<4)|0;c[N>>2]=c[M>>2];c[N+4>>2]=c[M+4>>2];c[N+8>>2]=c[M+8>>2];c[N+12>>2]=c[M+12>>2];f=f+1|0}while(1){if(!((g|0)<15&i<<24>>24!=0))break;qy(B,H,c[42319]|0,c[n>>2]|0,f);j=0;while(1){if((j|0)>=(H|0))break;if(+h[B+(j<<5)>>3]==2147483647.0){D=82;break}if(+h[B+(j<<5)+16>>3]==-2147483648.0){D=82;break}j=j+1|0}if((D|0)==82){D=0;N=f<<1;f=N;g=(N|0)>(2147483647/(H|0)|0|0)?15:g}i=(j|0)==(H|0)?0:i;g=g+1|0}if(i<<24>>24){M=Dn(c[((c[C>>2]&3|0)==3?C:z)+40>>2]|0)|0;N=Dn(c[((c[C>>2]&3|0)==2?C:A)+40>>2]|0)|0;c[K>>2]=M;c[K+4>>2]=N;_l(0,89976,K)|0;c[G>>2]=c[I>>2];c[G+4>>2]=c[I+4>>2];YI(G,J);qy(B,H,c[J>>2]|0,c[J+4>>2]|0,10);_I(c[J>>2]|0)}c[d>>2]=c[n>>2];f=c[42319]|0}else f=0}else f=0}while(0);l=L;return f|0}function py(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0.0,g=0.0,i=0,j=0,k=0,m=0.0,n=0.0,o=0,p=0.0,q=0.0,r=0.0,s=0.0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0.0,L=0,M=0,N=0,O=0.0,P=0,Q=0,R=0;R=l;l=l+32|0;I=R+16|0;H=R+8|0;k=R;e=0;j=0;while(1){if((j|0)>=(a|0))break;i=b+(j<<5)|0;s=+h[b+(j<<5)+8>>3]-+h[b+(j<<5)+24>>3];if(!((s>=0.0?s:-s)<.01)?(s=+h[i>>3]-+h[b+(j<<5)+16>>3],!((s>=0.0?s:-s)<.01)):0){if((e|0)!=(j|0)){P=b+(e<<5)|0;c[P>>2]=c[i>>2];c[P+4>>2]=c[i+4>>2];c[P+8>>2]=c[i+8>>2];c[P+12>>2]=c[i+12>>2];c[P+16>>2]=c[i+16>>2];c[P+20>>2]=c[i+20>>2];c[P+24>>2]=c[i+24>>2];c[P+28>>2]=c[i+28>>2]}e=e+1|0}j=j+1|0}J=b+16|0;do if(!(+h[b>>3]>+h[J>>3])?(L=b+8|0,N=b+24|0,!(+h[L>>3]>+h[N>>3])):0){P=e+-1|0;M=c[13918]|0;w=0;while(1){if((w|0)>=(P|0))break;D=w+1|0;E=b+(D<<5)|0;f=+h[E>>3];F=b+(D<<5)+16|0;g=+h[F>>3];if(f>g){Q=16;break}A=b+(D<<5)+8|0;m=+h[A>>3];B=b+(D<<5)+24|0;n=+h[B>>3];if(m>n){Q=16;break}G=b+(w<<5)+16|0;v=+h[G>>3]<f;e=v&1;C=b+(w<<5)|0;u=+h[C>>3]>g;a=u&1;z=b+(w<<5)+24|0;t=+h[z>>3]<m;j=t&1;y=b+(w<<5)+8|0;k=+h[y>>3]>n;i=k&1;x=a+e+j+i|0;o=(x|0)!=0;if(!(0==0|o^1)){c[I>>2]=w;c[I+4>>2]=D;zL(M,90176,I)|0;ry(d)}a:do if(o){if(!v)if(!u)if(!t){if(k){k=0;o=e;e=B;i=y;Q=24}}else{k=i;j=0;o=e;e=A;i=z;Q=24}else{k=i;a=0;o=e;e=F;i=C;Q=24}else{k=i;o=0;e=E;i=G;Q=24}if((Q|0)==24){Q=0;w=~~+h[i>>3];h[i>>3]=+h[e>>3];h[e>>3]=+(w|0);i=k;e=o}o=x+-1|0;k=0;while(1){if((k|0)>=(o|0))break a;do if((e|0)!=1){if((a|0)==1){s=+(~~((+h[F>>3]+ +h[C>>3])*.5+.5)|0);h[F>>3]=s;h[C>>3]=s;a=0;break}if((j|0)==1){s=+(~~((+h[A>>3]+ +h[z>>3])*.5+.5)|0);h[A>>3]=s;h[z>>3]=s;j=0;break}if((i|0)==1){s=+(~~((+h[B>>3]+ +h[y>>3])*.5+.5)|0);h[B>>3]=s;h[y>>3]=s;i=0}}else{s=+(~~((+h[E>>3]+ +h[G>>3])*.5+.5)|0);h[E>>3]=s;h[G>>3]=s;e=0}while(0);k=k+1|0}}while(0);p=+h[C>>3];q=+h[G>>3];r=+h[E>>3];s=+h[F>>3];i=sy(~~p,~~q,~~r,~~s)|0;n=+h[y>>3];m=+h[z>>3];g=+h[A>>3];f=+h[B>>3];e=sy(~~n,~~m,~~g,~~f)|0;if(!((i|0)!=0&(e|0)!=0)){w=D;continue}if((i|0)<(e|0)){B=q-p>s-r;w=q<s;h[(B?(w?G:C):w?E:F)>>3]=B?(w?r:s):w?q:p;w=D;continue}else{B=m-n>f-g;w=m<f;h[(B?(w?G:C):w?E:F)+8>>3]=B?(w?g:f):w?m:n;w=D;continue}}if((Q|0)==16){c[H>>2]=D;_l(1,90130,H)|0;ry(d);e=1;break}f=+h[d>>3];g=+h[b>>3];if(!(((!(f<g)?!(f>+h[J>>3]):0)?(K=+h[d+8>>3],!(K<+h[L>>3])):0)?!(K>+h[N>>3]):0)){if(0){XL(90219,42,1,M)|0;ry(d);g=+h[b>>3];f=+h[d>>3]}if(f<g)h[d>>3]=g;else g=f;f=+h[J>>3];if(g>f)h[d>>3]=f;e=d+8|0;g=+h[e>>3];f=+h[L>>3];if(g<f){h[e>>3]=f;g=f}f=+h[N>>3];if(g>f)h[e>>3]=f}i=d+40|0;f=+h[i>>3];e=b+(P<<5)|0;g=+h[e>>3];if(((!(f<g)?!(f>+h[b+(P<<5)+16>>3]):0)?(O=+h[d+48>>3],!(O<+h[b+(P<<5)+8>>3])):0)?!(O>+h[b+(P<<5)+24>>3]):0){e=0;break}if(0){XL(90262,39,1,M)|0;ry(d);g=+h[e>>3];f=+h[i>>3]}if(f<g){h[i>>3]=g;f=g}g=+h[b+(P<<5)+16>>3];if(f>g)h[i>>3]=g;e=d+48|0;f=+h[e>>3];g=+h[b+(P<<5)+8>>3];if(f<g)h[e>>3]=g;else g=f;f=+h[b+(P<<5)+24>>3];if(g>f){h[e>>3]=f;e=0}else e=0}else Q=12;while(0);if((Q|0)==12){_l(1,90085,k)|0;ry(d);e=1}l=R;return e|0}function qy(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,l=0,m=0.0,n=0.0,o=0,p=0,q=0,r=0,s=0,t=0.0,u=0,v=0.0,w=0.0,x=0.0,y=0.0,z=0.0;s=O(e,b)|0;t=1.0/+(s|0);e=0;a:while(1){u=e+3|0;if((u|0)>=(d|0))break;o=c+(e<<4)|0;p=c+(e<<4)+8|0;r=e+1|0;q=c+(r<<4)|0;r=c+(r<<4)+8|0;j=e+2|0;i=c+(j<<4)|0;j=c+(j<<4)+8|0;k=c+(u<<4)|0;l=c+(u<<4)+8|0;g=0;while(1){if((g|0)>(s|0)){e=u;continue a}v=t*+(g|0);m=+h[o>>3];n=+h[p>>3];y=+h[q>>3];w=+h[r>>3];z=+h[i>>3];x=+h[j>>3];m=(y-m)*v+m;n=(w-n)*v+n;y=(z-y)*v+y;w=(x-w)*v+w;m=(y-m)*v+m;n=(w-n)*v+n;m=((z-y+(+h[k>>3]-z)*v)*v+y-m)*v+m;n=((x-w+(+h[l>>3]-x)*v)*v+w-n)*v+n;f=0;while(1){if((f|0)>=(b|0))break;if(n<=+h[a+(f<<5)+24>>3]+.0001?n>=+h[a+(f<<5)+8>>3]+-.0001:0){e=a+(f<<5)|0;if(+h[e>>3]>m)h[e>>3]=m;e=a+(f<<5)+16|0;if(+h[e>>3]<m)h[e>>3]=m}f=f+1|0}g=g+1|0}}return}function ry(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0.0,o=0.0,p=0.0,q=0.0,r=0;m=l;l=l+112|0;j=m+80|0;k=m+48|0;i=m+8|0;g=m;e=c[13918]|0;f=b+80|0;c[g>>2]=c[f>>2];zL(e,90302,g)|0;g=b+84|0;d=0;while(1){if((d|0)>=(c[f>>2]|0))break;r=c[g>>2]|0;q=+h[r+(d<<5)>>3];p=+h[r+(d<<5)+8>>3];o=+h[r+(d<<5)+16>>3];n=+h[r+(d<<5)+24>>3];c[i>>2]=d;h[i+8>>3]=q;h[i+16>>3]=p;h[i+24>>3]=o;h[i+32>>3]=n;zL(e,90313,i)|0;d=d+1|0}q=+h[b+8>>3];p=+h[b+16>>3];r=a[b+29>>0]|0?90344:90356;h[k>>3]=+h[b>>3];h[k+8>>3]=q;h[k+16>>3]=p;c[k+24>>2]=r;zL(e,90372,k)|0;p=+h[b+48>>3];q=+h[b+56>>3];r=a[b+69>>0]|0?90344:90356;h[j>>3]=+h[b+40>>3];h[j+8>>3]=p;h[j+16>>3]=q;c[j+24>>2]=r;zL(e,90423,j)|0;l=m;return}function sy(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;do if((b|0)>(c|0)&(d|0)>(a|0)){if(!((c|0)>(a|0)|(d|0)<(a|0))){a=d-a|0;break}if((b|0)<(c|0)|(b|0)>(d|0)){b=b-a|0;a=d-c|0;a=(b|0)<(a|0)?b:a;break}else{a=b-c|0;break}}else a=0;while(0);return a|0}function ty(a,b){a=a|0;b=b|0;return oy(a,b,1)|0}function uy(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0.0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0.0,M=0.0,N=0.0,P=0,Q=0;K=l;l=l+304|0;A=K+272|0;z=K+208|0;G=K+96|0;H=K+32|0;I=K+16|0;J=K;r=K+192|0;y=K+176|0;i=K+160|0;B=K+296|0;D=K+288|0;j=c[d>>2]|0;w=c[j>>2]&3;k=j+-48|0;E=c[((w|0)==2?j:k)+40>>2]|0;t=G+16|0;w=(c[(c[((w|0)==3?j:j+48|0)+40>>2]|0)+16>>2]|0)+16|0;x=j+16|0;F=(c[x>>2]|0)+16|0;c[z>>2]=c[w>>2];c[z+4>>2]=c[w+4>>2];c[z+8>>2]=c[w+8>>2];c[z+12>>2]=c[w+12>>2];c[A>>2]=c[F>>2];c[A+4>>2]=c[F+4>>2];c[A+8>>2]=c[F+8>>2];c[A+12>>2]=c[F+12>>2];vy(r,z,A);c[G>>2]=c[r>>2];c[G+4>>2]=c[r+4>>2];c[G+8>>2]=c[r+8>>2];c[G+12>>2]=c[r+12>>2];c[t>>2]=c[r>>2];c[t+4>>2]=c[r+4>>2];c[t+8>>2]=c[r+8>>2];c[t+12>>2]=c[r+12>>2];c[I>>2]=c[r>>2];c[I+4>>2]=c[r+4>>2];c[I+8>>2]=c[r+8>>2];c[I+12>>2]=c[r+12>>2];r=G+32|0;F=G+48|0;w=(c[E+16>>2]|0)+16|0;x=(c[x>>2]|0)+56|0;c[z>>2]=c[w>>2];c[z+4>>2]=c[w+4>>2];c[z+8>>2]=c[w+8>>2];c[z+12>>2]=c[w+12>>2];c[A>>2]=c[x>>2];c[A+4>>2]=c[x+4>>2];c[A+8>>2]=c[x+8>>2];c[A+12>>2]=c[x+12>>2];vy(y,z,A);c[F>>2]=c[y>>2];c[F+4>>2]=c[y+4>>2];c[F+8>>2]=c[y+8>>2];c[F+12>>2]=c[y+12>>2];c[r>>2]=c[y>>2];c[r+4>>2]=c[y+4>>2];c[r+8>>2]=c[y+8>>2];c[r+12>>2]=c[y+12>>2];c[J>>2]=c[y>>2];c[J+4>>2]=c[y+4>>2];c[J+8>>2]=c[y+8>>2];c[J+12>>2]=c[y+12>>2];a:do if((e|0)!=1&(a[174076]|0)==0){m=+h[G>>3];n=+h[F>>3];L=m-n;o=+h[G+8>>3];p=+h[G+56>>3];s=o-p;q=s*s;if(q+L*L<1.0e-06){c[t>>2]=c[G>>2];c[t+4>>2]=c[G+4>>2];c[t+8>>2]=c[G+8>>2];c[t+12>>2]=c[G+12>>2];c[r>>2]=c[F>>2];c[r+4>>2]=c[F+4>>2];c[r+8>>2]=c[F+8>>2];c[r+12>>2]=c[F+12>>2];y=G+24|0;x=G+40|0;n=0.0;m=0.0}else{M=n-m;L=+C(+(q+M*M));w=c[(c[(c[b+60>>2]|0)+16>>2]|0)+248>>2]|0;N=+((O(w,e+-1|0)|0)/2|0|0);q=s*N/L;h[t>>3]=q+m;m=M*N/L;y=G+24|0;h[y>>3]=m+o;h[r>>3]=q+n;x=G+40|0;h[x>>3]=p+m;m=+(0-w|0);n=M*m/L;m=s*m/L}f=(f|0)==6;u=D+4|0;v=B+4|0;j=0;while(1){if((j|0)>=(e|0))break a;w=c[d+(j<<2)>>2]|0;k=w+-48|0;b:do if((c[((c[w>>2]&3|0)==2?w:k)+40>>2]|0)==(E|0)){c[I>>2]=c[G>>2];c[I+4>>2]=c[G+4>>2];c[I+8>>2]=c[G+8>>2];c[I+12>>2]=c[G+12>>2];c[J>>2]=c[F>>2];c[J+4>>2]=c[F+4>>2];c[J+8>>2]=c[F+8>>2];c[J+12>>2]=c[F+12>>2];i=0;while(1){if((i|0)==4)break b;P=H+(i<<4)|0;Q=G+(i<<4)|0;c[P>>2]=c[Q>>2];c[P+4>>2]=c[Q+4>>2];c[P+8>>2]=c[Q+8>>2];c[P+12>>2]=c[Q+12>>2];i=i+1|0}}else{c[I>>2]=c[F>>2];c[I+4>>2]=c[F+4>>2];c[I+8>>2]=c[F+8>>2];c[I+12>>2]=c[F+12>>2];c[J>>2]=c[G>>2];c[J+4>>2]=c[G+4>>2];c[J+8>>2]=c[G+8>>2];c[J+12>>2]=c[G+12>>2];i=0;while(1){if((i|0)==4)break b;Q=H+(3-i<<4)|0;P=G+(i<<4)|0;c[Q>>2]=c[P>>2];c[Q+4>>2]=c[P+4>>2];c[Q+8>>2]=c[P+8>>2];c[Q+12>>2]=c[P+12>>2];i=i+1|0}}while(0);if(f){c[u>>2]=4;c[D>>2]=z;i=0;while(1){if((i|0)==4)break;Q=z+(i<<4)|0;P=H+(i<<4)|0;c[Q>>2]=c[P>>2];c[Q+4>>2]=c[P+4>>2];c[Q+8>>2]=c[P+8>>2];c[Q+12>>2]=c[P+12>>2];i=i+1|0}c[A>>2]=c[D>>2];c[A+4>>2]=c[D+4>>2];YI(A,B);Jz(w,c[((c[w>>2]&3|0)==2?w:k)+40>>2]|0,c[B>>2]|0,c[v>>2]|0,g)}else Jz(w,c[((c[w>>2]&3|0)==2?w:k)+40>>2]|0,H,4,g);c[z>>2]=c[I>>2];c[z+4>>2]=c[I+4>>2];c[z+8>>2]=c[I+8>>2];c[z+12>>2]=c[I+12>>2];c[A>>2]=c[J>>2];c[A+4>>2]=c[J+4>>2];c[A+8>>2]=c[J+8>>2];c[A+12>>2]=c[J+12>>2];cA(b,w,z,A);h[t>>3]=+h[t>>3]+m;h[y>>3]=+h[y>>3]+n;h[r>>3]=+h[r>>3]+m;h[x>>3]=+h[x>>3]+n;j=j+1|0}}else{if((f|0)==4){wy(i,b);c[A>>2]=c[i>>2];c[A+4>>2]=c[i+4>>2];c[A+8>>2]=c[i+8>>2];c[A+12>>2]=c[i+12>>2];xy(G,A)}Jz(j,c[((c[j>>2]&3|0)==2?j:k)+40>>2]|0,G,4,g);c[z>>2]=c[I>>2];c[z+4>>2]=c[I+4>>2];c[z+8>>2]=c[I+8>>2];c[z+12>>2]=c[I+12>>2];c[A>>2]=c[J>>2];c[A+4>>2]=c[J+4>>2];c[A+8>>2]=c[J+8>>2];c[A+12>>2]=c[J+12>>2];cA(b,j,z,A)}while(0);l=K;return}function vy(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=+h[c+8>>3]+ +h[b+8>>3];h[a>>3]=+h[c>>3]+ +h[b>>3];h[a+8>>3]=d;return}function wy(a,b){a=a|0;b=b|0;b=c[b+16>>2]|0;h[20899]=(+h[b+32>>3]+ +h[b+16>>3])*.5;h[20900]=(+h[b+40>>3]+ +h[b+24>>3])*.5;c[a>>2]=c[41798];c[a+4>>2]=c[41799];c[a+8>>2]=c[41800];c[a+12>>2]=c[41801];return}function xy(a,b){a=a|0;b=b|0;var c=0.0,d=0.0,e=0.0,f=0.0,g=0.0,i=0.0;f=+h[a>>3];d=+h[a+48>>3];i=(d+f)*.5;g=+h[a+8>>3];c=+h[a+56>>3];e=(c+g)*.5;f=d-f;g=c-g;f=+C(+(g*g+f*f))*.2;g=+h[b>>3]-i;c=+h[b+8>>3]-e;d=+C(+(c*c+g*g));if(!(d==0.0)){g=i-g/d*f;i=e-c/d*f;h[a+32>>3]=g;h[a+16>>3]=g;h[a+40>>3]=i;h[a+24>>3]=i}return}function yy(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0.0,n=0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,D=0,E=0,F=0.0,G=0,H=0.0,I=0.0,J=0.0;E=l;l=l+208|0;t=E+192|0;s=E+176|0;B=E+32|0;w=E+16|0;x=E;y=E+160|0;z=E+144|0;u=E+128|0;v=E+112|0;g=e&2130706432;A=(e&8|0)==0?((g|0)==0?4:g):8;if((A|0)==436207616)zy(a,b,d,f);else{D=vw((d<<6)+64|0)|0;p=d+-1|0;q=x+8|0;r=w+8|0;o=12.0;e=0;while(1){if((e|0)>=(d|0))break;n=b+(e<<4)|0;c[w>>2]=c[n>>2];c[w+4>>2]=c[n+4>>2];c[w+8>>2]=c[n+8>>2];c[w+12>>2]=c[n+12>>2];if((e|0)<(p|0)){e=e+1|0;n=b+(e<<4)|0;c[x>>2]=c[n>>2];c[x+4>>2]=c[n+4>>2];c[x+8>>2]=c[n+8>>2];c[x+12>>2]=c[n+12>>2]}else{c[x>>2]=c[b>>2];c[x+4>>2]=c[b+4>>2];c[x+8>>2]=c[b+8>>2];c[x+12>>2]=c[b+12>>2];e=e+1|0}m=+h[x>>3]-+h[w>>3];F=+h[q>>3]-+h[r>>3];m=+C(+(F*F+m*m))*.3333333333333333;o=o<m?o:m}k=(g|16777216|0)==83886080;n=(A|0)==4;j=(g|0)==16777216;e=0;i=0;while(1){if((i|0)>=(d|0))break;g=b+(i<<4)|0;c[w>>2]=c[g>>2];c[w+4>>2]=c[g+4>>2];c[w+8>>2]=c[g+8>>2];c[w+12>>2]=c[g+12>>2];if((i|0)<(p|0)){g=b+(i+1<<4)|0;c[x>>2]=c[g>>2];c[x+4>>2]=c[g+4>>2];c[x+8>>2]=c[g+8>>2];c[x+12>>2]=c[g+12>>2]}else{c[x>>2]=c[b>>2];c[x+4>>2]=c[b+4>>2];c[x+8>>2]=c[b+8>>2];c[x+12>>2]=c[b+12>>2]}m=+h[x>>3]-+h[w>>3];F=+h[q>>3]-+h[r>>3];m=o/+C(+(F*F+m*m));m=k?m*.3333333333333333:j?m*.5:m;g=D+(e<<4)|0;if(n){c[s>>2]=c[w>>2];c[s+4>>2]=c[w+4>>2];c[s+8>>2]=c[w+8>>2];c[s+12>>2]=c[w+12>>2];c[t>>2]=c[x>>2];c[t+4>>2]=c[x+4>>2];c[t+8>>2]=c[x+8>>2];c[t+12>>2]=c[x+12>>2];Ay(y,m*.5,s,t);c[g>>2]=c[y>>2];c[g+4>>2]=c[y+4>>2];c[g+8>>2]=c[y+8>>2];c[g+12>>2]=c[y+12>>2]}else{c[g>>2]=c[w>>2];c[g+4>>2]=c[w+4>>2];c[g+8>>2]=c[w+8>>2];c[g+12>>2]=c[w+12>>2]}g=D+(e+1<<4)|0;c[s>>2]=c[w>>2];c[s+4>>2]=c[w+4>>2];c[s+8>>2]=c[w+8>>2];c[s+12>>2]=c[w+12>>2];c[t>>2]=c[x>>2];c[t+4>>2]=c[x+4>>2];c[t+8>>2]=c[x+8>>2];c[t+12>>2]=c[x+12>>2];Ay(z,m,s,t);c[g>>2]=c[z>>2];c[g+4>>2]=c[z+4>>2];c[g+8>>2]=c[z+8>>2];c[g+12>>2]=c[z+12>>2];g=e+3|0;G=D+(e+2<<4)|0;c[s>>2]=c[w>>2];c[s+4>>2]=c[w+4>>2];c[s+8>>2]=c[w+8>>2];c[s+12>>2]=c[w+12>>2];c[t>>2]=c[x>>2];c[t+4>>2]=c[x+4>>2];c[t+8>>2]=c[x+8>>2];c[t+12>>2]=c[x+12>>2];Ay(u,1.0-m,s,t);c[G>>2]=c[u>>2];c[G+4>>2]=c[u+4>>2];c[G+8>>2]=c[u+8>>2];c[G+12>>2]=c[u+12>>2];if(n){G=D+(g<<4)|0;c[s>>2]=c[w>>2];c[s+4>>2]=c[w+4>>2];c[s+8>>2]=c[w+8>>2];c[s+12>>2]=c[w+12>>2];c[t>>2]=c[x>>2];c[t+4>>2]=c[x+4>>2];c[t+8>>2]=c[x+8>>2];c[t+12>>2]=c[x+12>>2];Ay(v,1.0-m*.5,s,t);c[G>>2]=c[v>>2];c[G+4>>2]=c[v+4>>2];c[G+8>>2]=c[v+8>>2];c[G+12>>2]=c[v+12>>2];e=e+4|0}else e=g;i=i+1|0}k=D+(e<<4)|0;c[k>>2]=c[D>>2];c[k+4>>2]=c[D+4>>2];c[k+8>>2]=c[D+8>>2];c[k+12>>2]=c[D+12>>2];k=D+(e+1<<4)|0;j=D+16|0;c[k>>2]=c[j>>2];c[k+4>>2]=c[j+4>>2];c[k+8>>2]=c[j+8>>2];c[k+12>>2]=c[j+12>>2];e=D+(e+2<<4)|0;k=D+32|0;c[e>>2]=c[k>>2];c[e+4>>2]=c[k+4>>2];c[e+8>>2]=c[k+8>>2];c[e+12>>2]=c[k+12>>2];e=A&2147483647;a:do if((e|0)<201326592){if((e|0)>=83886080){if((e|0)<134217728){if((e|0)<100663296){switch(e|0){case 83886080:break;default:break a}if((d|0)==4){G=vw(192)|0;c[G>>2]=c[b>>2];c[G+4>>2]=c[b+4>>2];c[G+8>>2]=c[b+8>>2];c[G+12>>2]=c[b+12>>2];p=G+16|0;t=b+16|0;c[p>>2]=c[t>>2];c[p+4>>2]=c[t+4>>2];c[p+8>>2]=c[t+8>>2];c[p+12>>2]=c[t+12>>2];p=D+48|0;t=D+64|0;o=+h[t>>3];n=G+32|0;h[n>>3]=o;q=D+56|0;r=D+72|0;H=+h[r>>3];z=G+40|0;h[z>>3]=H;F=+h[p>>3]+o-+h[k>>3];u=G+48|0;h[u>>3]=F;J=+h[q>>3]+H-+h[D+40>>3];x=G+56|0;h[x>>3]=J;I=+h[t>>3]+F-+h[p>>3];p=G+64|0;h[p>>3]=I;m=+h[r>>3]+J-+h[q>>3];q=G+72|0;h[q>>3]=m;r=G+80|0;h[r>>3]=o+I-F;h[G+88>>3]=H+m-J;t=D+96|0;v=D+80|0;J=+h[v>>3];d=G+144|0;h[d>>3]=J;w=D+104|0;s=D+88|0;m=+h[s>>3];h[G+152>>3]=m;H=+h[t>>3]+J-+h[D+112>>3];y=G+128|0;h[y>>3]=H;F=+h[w>>3]+m-+h[D+120>>3];A=G+136|0;h[A>>3]=F;I=+h[v>>3]+H-+h[t>>3];t=G+112|0;h[t>>3]=I;o=+h[s>>3]+F-+h[w>>3];w=G+120|0;h[w>>3]=o;s=G+96|0;h[s>>3]=J+I-H;v=G+104|0;h[v>>3]=m+o-F;k=G+160|0;j=b+32|0;c[k>>2]=c[j>>2];c[k+4>>2]=c[j+4>>2];c[k+8>>2]=c[j+8>>2];c[k+12>>2]=c[j+12>>2];k=G+176|0;b=b+48|0;c[k>>2]=c[b>>2];c[k+4>>2]=c[b+4>>2];c[k+8>>2]=c[b+8>>2];c[k+12>>2]=c[b+12>>2];HD(a,G,12,f);c[B>>2]=c[n>>2];c[B+4>>2]=c[n+4>>2];c[B+8>>2]=c[n+8>>2];c[B+12>>2]=c[n+12>>2];F=+h[n>>3];o=+h[u>>3];F=F+F-o;u=B+16|0;h[u>>3]=F;m=+h[z>>3];H=+h[x>>3];m=m+m-H;x=B+24|0;h[x>>3]=m;z=B+32|0;h[z>>3]=+h[p>>3]+F-o;b=B+40|0;h[b>>3]=+h[q>>3]+m-H;f=B+48|0;c[f>>2]=c[r>>2];c[f+4>>2]=c[r+4>>2];c[f+8>>2]=c[r+8>>2];c[f+12>>2]=c[r+12>>2];KD(a,B,4);c[B>>2]=c[s>>2];c[B+4>>2]=c[s+4>>2];c[B+8>>2]=c[s+8>>2];c[B+12>>2]=c[s+12>>2];H=+h[s>>3];m=+h[t>>3];H=H-(m-H);h[u>>3]=H;o=+h[v>>3];F=+h[w>>3];o=o-(F-o);h[x>>3]=o;h[z>>3]=+h[y>>3]+H-m;h[b>>3]=+h[A>>3]+o-F;c[f>>2]=c[d>>2];c[f+4>>2]=c[d+4>>2];c[f+8>>2]=c[d+8>>2];c[f+12>>2]=c[d+12>>2];KD(a,B,4);_I(G);break}else ma(90472,90483,737,90492)}if((e|0)<117440512){switch(e|0){case 100663296:break;default:break a}y=d+5|0;G=vw(y<<4)|0;z=b+16|0;H=+h[z>>3];H=(+h[b>>3]-H)*.625+H;h[G>>3]=H;A=b+40|0;J=+h[A>>3];d=b+24|0;v=D+48|0;w=D+56|0;x=D+72|0;J=(+h[d>>3]-J)*.5+J+(+h[w>>3]-+h[x>>3])*1.5;h[G+8>>3]=J;I=+h[z>>3];I=(+h[b>>3]-I)*.25+I;h[G+16>>3]=I;h[G+24>>3]=J;h[G+32>>3]=I;F=+h[A>>3];h[G+40>>3]=(+h[d>>3]-F)*.5+F;I=(+h[k>>3]-+h[v>>3])*.5+I;h[G+48>>3]=I;F=+h[A>>3];h[G+56>>3]=(+h[d>>3]-F)*.5+F;h[G+64>>3]=I;I=+h[A>>3];I=(+h[d>>3]-I)*.5+I+(+h[w>>3]-+h[x>>3]);h[G+72>>3]=I;h[G+80>>3]=H;h[G+88>>3]=I;h[G+96>>3]=H;I=I-(+h[w>>3]-+h[x>>3])*.25;h[G+104>>3]=I;h[G+112>>3]=+h[k>>3]+H-+h[v>>3];h[G+120>>3]=(+h[w>>3]-+h[x>>3])*.5+I;h[G+128>>3]=+h[G>>3];h[G+136>>3]=(+h[w>>3]-+h[x>>3])*.25+J;HD(a,G,y,f);h[B>>3]=+h[z>>3];J=+h[A>>3];h[B+8>>3]=(+h[d>>3]-J)*.5+J;h[B+16>>3]=+h[b>>3];h[B+24>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}else{switch(e|0){case 117440512:break;default:break a}d=d+1|0;G=vw(d<<4)|0;h[G>>3]=+h[j>>3];z=D+56|0;A=D+72|0;h[G+8>>3]=+h[D+24>>3]-(+h[z>>3]-+h[A>>3])*.5;h[G+16>>3]=+h[D+48>>3];J=+h[z>>3];h[G+24>>3]=J-(J-+h[A>>3])*.5;h[G+32>>3]=+h[b+32>>3];B=b+40|0;h[G+40>>3]=(+h[z>>3]-+h[A>>3])*.5+ +h[B>>3];h[G+48>>3]=+h[j>>3];h[G+56>>3]=(+h[z>>3]-+h[A>>3])*.5+ +h[B>>3];J=+h[b+8>>3];h[G+72>>3]=J-(J-+h[b+56>>3])*.5;h[G+64>>3]=+h[b>>3];HD(a,G,d,f);_I(G);break}}if((e|0)<167772160)if((e|0)<150994944){switch(e|0){case 134217728:break;default:break a}y=d+4|0;G=vw(y<<4)|0;z=b+16|0;F=+h[z>>3];x=D+48|0;F=(+h[b>>3]-F)*.5+F+(+h[k>>3]-+h[x>>3])*.25;h[G>>3]=F;A=b+40|0;J=+h[A>>3];d=b+24|0;J=(+h[d>>3]-J)*.5+J;h[G+8>>3]=J;h[G+16>>3]=F;v=D+56|0;w=D+72|0;H=(+h[v>>3]-+h[w>>3])*.5+J;h[G+24>>3]=H;F=(+h[k>>3]-+h[x>>3])*.5+F;h[G+32>>3]=F;h[G+40>>3]=H;h[G+48>>3]=F;F=(+h[v>>3]-+h[w>>3])*.5+H;h[G+56>>3]=F;I=+h[z>>3];I=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[x>>3])*-.75;h[G+64>>3]=I;h[G+72>>3]=F;h[G+80>>3]=I;h[G+88>>3]=H;I=+h[z>>3];I=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[x>>3])*-.25;h[G+96>>3]=I;h[G+104>>3]=H;h[G+112>>3]=I;h[G+120>>3]=J;HD(a,G,y,f);h[B>>3]=+h[z>>3];J=+h[A>>3];h[B+8>>3]=(+h[d>>3]-J)*.5+J;h[B+16>>3]=+h[b>>3];h[B+24>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}else{switch(e|0){case 150994944:break;default:break a}y=d+2|0;G=vw(y<<4)|0;z=b+16|0;H=+h[z>>3];x=D+48|0;H=(+h[b>>3]-H)*.5+H+(+h[k>>3]-+h[x>>3])*.75;h[G>>3]=H;A=b+40|0;J=+h[A>>3];d=b+24|0;J=(+h[d>>3]-J)*.5+J;h[G+8>>3]=J;h[G+16>>3]=H;v=D+56|0;w=D+72|0;H=(+h[v>>3]-+h[w>>3])*.25+J;h[G+24>>3]=H;I=+h[z>>3];h[G+32>>3]=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[x>>3])*.25;I=(+h[v>>3]-+h[w>>3])*.5+H;h[G+40>>3]=I;F=+h[z>>3];h[G+48>>3]=(+h[b>>3]-F)*.5+F+(+h[k>>3]-+h[x>>3])*-.25;h[G+56>>3]=I;I=+h[z>>3];I=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[x>>3])*-.75;h[G+64>>3]=I;h[G+72>>3]=H;h[G+80>>3]=I;h[G+88>>3]=J;HD(a,G,y,f);h[B>>3]=+h[z>>3];J=+h[A>>3];h[B+8>>3]=(+h[d>>3]-J)*.5+J;h[B+16>>3]=+h[b>>3];h[B+24>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}else if((e|0)<184549376){switch(e|0){case 167772160:break;default:break a}y=d+1|0;G=vw(y<<4)|0;z=b+16|0;H=+h[z>>3];v=D+48|0;H=+h[k>>3]+H+(+h[b>>3]-H)*.5-+h[v>>3];h[G>>3]=H;A=b+40|0;J=+h[A>>3];d=b+24|0;w=D+56|0;x=D+72|0;J=(+h[d>>3]-J)*.5+J+(+h[w>>3]-+h[x>>3])*.25;h[G+8>>3]=J;H=H-+h[k>>3]+ +h[v>>3];h[G+16>>3]=H;h[G+24>>3]=+h[w>>3]+J-+h[x>>3];h[G+32>>3]=H;H=(+h[w>>3]-+h[x>>3])*.5+J;h[G+40>>3]=H;I=+h[z>>3];I=(+h[b>>3]-I)*.25+I;h[G+48>>3]=I;h[G+56>>3]=H;h[G+64>>3]=I;h[G+72>>3]=J;HD(a,G,y,f);h[B>>3]=+h[z>>3];J=+h[A>>3];h[B+8>>3]=(+h[d>>3]-J)*.5+J;h[B+16>>3]=+h[b>>3];h[B+24>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}else{switch(e|0){case 184549376:break;default:break a}z=d+4|0;G=vw(z<<4)|0;y=b+16|0;H=+h[y>>3];I=+h[b>>3]-H;u=D+48|0;I=I*.125+H+(+h[k>>3]-+h[u>>3]+I)*.5;h[G>>3]=I;w=b+40|0;H=+h[w>>3];x=b+24|0;d=D+56|0;v=D+72|0;H=(+h[x>>3]-H)*.5+H+(+h[d>>3]-+h[v>>3])*.25;h[G+8>>3]=H;J=+h[y>>3];J=(+h[b>>3]-J)*.375+J;h[G+16>>3]=J;h[G+24>>3]=H;h[G+32>>3]=J;H=(+h[d>>3]-+h[v>>3])*.5+H;h[G+40>>3]=H;J=J-(+h[k>>3]-+h[u>>3])*.5;h[G+48>>3]=J;h[G+56>>3]=H;A=G+64|0;h[A>>3]=J;J=+h[w>>3];J=(+h[x>>3]-J)*.5+J+(+h[d>>3]-+h[v>>3])*-.25;h[G+72>>3]=J;H=I-(+h[k>>3]-+h[u>>3])*.5;h[G+80>>3]=H;h[G+88>>3]=J;h[G+96>>3]=H;J=J-(+h[d>>3]-+h[v>>3])*.5;h[G+104>>3]=J;v=G+112|0;h[v>>3]=I;h[G+120>>3]=J;HD(a,G,z,f);h[B>>3]=+h[y>>3];J=+h[w>>3];y=B+8|0;h[y>>3]=(+h[x>>3]-J)*.5+J;z=B+16|0;h[z>>3]=+h[A>>3];A=b+8|0;d=b+56|0;f=B+24|0;h[f>>3]=(+h[A>>3]-+h[d>>3])*.5+J;KD(a,B,2);h[B>>3]=+h[v>>3];J=+h[w>>3];h[y>>3]=(+h[x>>3]-J)*.5+J;h[z>>3]=+h[b>>3];h[f>>3]=(+h[A>>3]-+h[d>>3])*.5+J;KD(a,B,2);_I(G);break}}if((e|0)<33554432){if((e|0)<8){switch(e|0){case 4:break;default:break a}i=ww((d*96|0)+32|0)|0;e=0;g=0;while(1){j=g|1;k=i+(g<<4)|0;if((e|0)>=(d|0))break;b=e<<2;G=D+(b<<4)|0;c[k>>2]=c[G>>2];c[k+4>>2]=c[G+4>>2];c[k+8>>2]=c[G+8>>2];c[k+12>>2]=c[G+12>>2];G=i+(j<<4)|0;B=D+((b|1)<<4)|0;c[G>>2]=c[B>>2];c[G+4>>2]=c[B+4>>2];c[G+8>>2]=c[B+8>>2];c[G+12>>2]=c[B+12>>2];G=i+(g+2<<4)|0;c[G>>2]=c[B>>2];c[G+4>>2]=c[B+4>>2];c[G+8>>2]=c[B+8>>2];c[G+12>>2]=c[B+12>>2];G=i+(g+3<<4)|0;B=D+((b|2)<<4)|0;c[G>>2]=c[B>>2];c[G+4>>2]=c[B+4>>2];c[G+8>>2]=c[B+8>>2];c[G+12>>2]=c[B+12>>2];G=i+(g+4<<4)|0;c[G>>2]=c[B>>2];c[G+4>>2]=c[B+4>>2];c[G+8>>2]=c[B+8>>2];c[G+12>>2]=c[B+12>>2];G=i+(g+5<<4)|0;b=D+((b|3)<<4)|0;c[G>>2]=c[b>>2];c[G+4>>2]=c[b+4>>2];c[G+8>>2]=c[b+8>>2];c[G+12>>2]=c[b+12>>2];e=e+1|0;g=g+6|0}c[k>>2]=c[i>>2];c[k+4>>2]=c[i+4>>2];c[k+8>>2]=c[i+8>>2];c[k+12>>2]=c[i+12>>2];d=i+(j<<4)|0;G=i+16|0;c[d>>2]=c[G>>2];c[d+4>>2]=c[G+4>>2];c[d+8>>2]=c[G+8>>2];c[d+12>>2]=c[G+12>>2];JD(a,G,j,0,0,f&255);_I(i);break}if((e|0)<16777216){switch(e|0){case 8:break;default:break a}HD(a,b,d,f);g=B+16|0;e=0;while(1){if((e|0)>=(d|0))break a;G=e*3|0;f=D+(G+2<<4)|0;c[B>>2]=c[f>>2];c[B+4>>2]=c[f+4>>2];c[B+8>>2]=c[f+8>>2];c[B+12>>2]=c[f+12>>2];G=D+(G+4<<4)|0;c[g>>2]=c[G>>2];c[g+4>>2]=c[G+4>>2];c[g+8>>2]=c[G+8>>2];c[g+12>>2]=c[G+12>>2];KD(a,B,2);e=e+1|0}}switch(e|0){case 16777216:break;default:break a}g=d+1|0;i=vw(g<<4)|0;e=1;while(1){if((e|0)>=(d|0))break;G=i+(e<<4)|0;A=b+(e<<4)|0;c[G>>2]=c[A>>2];c[G+4>>2]=c[A+4>>2];c[G+8>>2]=c[A+8>>2];c[G+12>>2]=c[A+12>>2];e=e+1|0}b=d*3|0;A=D+(b+1<<4)|0;c[i>>2]=c[A>>2];c[i+4>>2]=c[A+4>>2];c[i+8>>2]=c[A+8>>2];c[i+12>>2]=c[A+12>>2];d=i+(d<<4)|0;G=D+(b+-1<<4)|0;c[d>>2]=c[G>>2];c[d+4>>2]=c[G+4>>2];c[d+8>>2]=c[G+8>>2];c[d+12>>2]=c[G+12>>2];HD(a,i,g,f);_I(i);c[B>>2]=c[G>>2];c[B+4>>2]=c[G+4>>2];c[B+8>>2]=c[G+8>>2];c[B+12>>2]=c[G+12>>2];G=B+16|0;c[G>>2]=c[A>>2];c[G+4>>2]=c[A+4>>2];c[G+8>>2]=c[A+8>>2];c[G+12>>2]=c[A+12>>2];f=B+32|0;h[f>>3]=+h[B>>3]+ +h[G>>3]-+h[D+(b<<4)>>3];h[B+40>>3]=+h[B+8>>3]+ +h[B+24>>3]-+h[D+(b<<4)+8>>3];KD(a,G,2);c[G>>2]=c[f>>2];c[G+4>>2]=c[f+4>>2];c[G+8>>2]=c[f+8>>2];c[G+12>>2]=c[f+12>>2];KD(a,B,2);break}else{if((e|0)<50331648){switch(e|0){case 33554432:break;default:break a}g=d+2|0;i=vw(g<<4)|0;c[i>>2]=c[b>>2];c[i+4>>2]=c[b+4>>2];c[i+8>>2]=c[b+8>>2];c[i+12>>2]=c[b+12>>2];j=i+16|0;c[j>>2]=c[k>>2];c[j+4>>2]=c[k+4>>2];c[j+8>>2]=c[k+8>>2];c[j+12>>2]=c[k+12>>2];j=D+48|0;d=D+64|0;h[i+32>>3]=(+h[j>>3]-+h[d>>3])*.3333333333333333+ +h[k>>3];G=D+56|0;e=D+72|0;h[i+40>>3]=(+h[G>>3]-+h[e>>3])*.3333333333333333+ +h[D+40>>3];J=+h[j>>3];h[i+48>>3]=(J-+h[d>>3])*.3333333333333333+J;J=+h[G>>3];h[i+56>>3]=(J-+h[e>>3])*.3333333333333333+J;e=4;while(1){if((e|0)>=(g|0))break;G=i+(e<<4)|0;d=b+(e+-2<<4)|0;c[G>>2]=c[d>>2];c[G+4>>2]=c[d+4>>2];c[G+8>>2]=c[d+8>>2];c[G+12>>2]=c[d+12>>2];e=e+1|0}HD(a,i,g,f);_I(i);c[B>>2]=c[j>>2];c[B+4>>2]=c[j+4>>2];c[B+8>>2]=c[j+8>>2];c[B+12>>2]=c[j+12>>2];G=B+16|0;c[G>>2]=c[k>>2];c[G+4>>2]=c[k+4>>2];c[G+8>>2]=c[k+8>>2];c[G+12>>2]=c[k+12>>2];KD(a,B,2);break}if((e|0)>=67108864){switch(e|0){case 67108864:break;default:break a}if((d|0)==4){G=vw(96)|0;c[G>>2]=c[b>>2];c[G+4>>2]=c[b+4>>2];c[G+8>>2]=c[b+8>>2];c[G+12>>2]=c[b+12>>2];d=G+16|0;c[d>>2]=c[k>>2];c[d+4>>2]=c[k+4>>2];c[d+8>>2]=c[k+8>>2];c[d+12>>2]=c[k+12>>2];d=G+32|0;A=D+64|0;c[d>>2]=c[A>>2];c[d+4>>2]=c[A+4>>2];c[d+8>>2]=c[A+8>>2];c[d+12>>2]=c[A+12>>2];d=G+48|0;b=b+32|0;c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];b=G+64|0;d=D+128|0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];b=G+80|0;z=D+160|0;c[b>>2]=c[z>>2];c[b+4>>2]=c[z+4>>2];c[b+8>>2]=c[z+8>>2];c[b+12>>2]=c[z+12>>2];HD(a,G,6,f);_I(G);h[B>>3]=+h[D+176>>3]+ +h[j>>3]-+h[D>>3];h[B+8>>3]=+h[D+184>>3]+ +h[D+24>>3]-+h[D+8>>3];G=B+16|0;c[G>>2]=c[A>>2];c[G+4>>2]=c[A+4>>2];c[G+8>>2]=c[A+8>>2];c[G+12>>2]=c[A+12>>2];KD(a,B,2);c[G>>2]=c[d>>2];c[G+4>>2]=c[d+4>>2];c[G+8>>2]=c[d+8>>2];c[G+12>>2]=c[d+12>>2];KD(a,B,2);c[G>>2]=c[D>>2];c[G+4>>2]=c[D+4>>2];c[G+8>>2]=c[D+8>>2];c[G+12>>2]=c[D+12>>2];KD(a,B,2);break}else ma(90472,90483,714,90492)}switch(e|0){case 50331648:break;default:break a}g=d+3|0;i=vw(g<<4)|0;c[i>>2]=c[b>>2];c[i+4>>2]=c[b+4>>2];c[i+8>>2]=c[b+8>>2];c[i+12>>2]=c[b+12>>2];J=+h[b>>3];h[i+16>>3]=J-(J-+h[j>>3])*.25;e=D+56|0;J=(+h[e>>3]-+h[D+72>>3])*.3333333333333333+ +h[b+8>>3];h[i+24>>3]=J;I=+h[b>>3];h[i+32>>3]=I-(I-+h[j>>3])*2.0;h[i+40>>3]=J;J=+h[b>>3];h[i+48>>3]=J-(J-+h[j>>3])*2.25;h[i+56>>3]=+h[e>>3];h[i+64>>3]=+h[D+48>>3];h[i+72>>3]=+h[e>>3];e=4;while(1){if((e|0)>=(g|0))break;G=i+(e<<4)|0;d=b+(e+-3<<4)|0;c[G>>2]=c[d>>2];c[G+4>>2]=c[d+4>>2];c[G+8>>2]=c[d+8>>2];c[G+12>>2]=c[d+12>>2];e=e+1|0}HD(a,i,g,f);_I(i);break}}else if((e|0)<318767104){if((e|0)<251658240){if((e|0)<218103808){switch(e|0){case 201326592:break;default:break a}G=d<<4;u=vw(G)|0;v=b+16|0;J=+h[v>>3];h[u>>3]=J;z=b+40|0;I=+h[z>>3];A=b+24|0;y=D+48|0;w=D+56|0;x=D+72|0;I=(+h[A>>3]-I)*.5+I+(+h[w>>3]-+h[x>>3])*.125;h[u+8>>3]=I;H=(+h[k>>3]-+h[y>>3])*2.0+J;h[u+16>>3]=H;h[u+24>>3]=I;h[u+32>>3]=H;I=(+h[w>>3]-+h[x>>3])*.5+I;h[u+40>>3]=I;h[u+48>>3]=J;h[u+56>>3]=I;HD(a,u,d,f);_I(u);G=vw(G)|0;I=+h[k>>3]+ +h[v>>3]-+h[y>>3];h[G>>3]=I;J=+h[z>>3];J=(+h[A>>3]-J)*.5+J+(+h[w>>3]-+h[x>>3])*-.625;h[G+8>>3]=J;H=+h[k>>3]-+h[y>>3]+I;y=G+16|0;h[y>>3]=H;h[G+24>>3]=J;h[G+32>>3]=H;J=(+h[w>>3]-+h[x>>3])*.5+J;h[G+40>>3]=J;h[G+48>>3]=I;h[G+56>>3]=J;HD(a,G,d,f);h[B>>3]=+h[y>>3];J=+h[z>>3];h[B+8>>3]=(+h[A>>3]-J)*.5+J;h[B+16>>3]=+h[b>>3];h[B+24>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}if((e|0)<234881024){switch(e|0){case 218103808:break;default:break a}G=d<<4;w=vw(G)|0;J=+h[b>>3];h[w>>3]=J;y=b+40|0;I=+h[y>>3];z=b+24|0;x=D+56|0;A=D+72|0;I=(+h[z>>3]-I)*.5+I+(+h[x>>3]-+h[A>>3])*.125;h[w+8>>3]=I;h[w+16>>3]=J;H=(+h[x>>3]-+h[A>>3])*.5+I;h[w+24>>3]=H;J=J-(+h[x>>3]-+h[A>>3])*2.0;h[w+32>>3]=J;h[w+40>>3]=H;h[w+48>>3]=J;h[w+56>>3]=I;HD(a,w,d,f);_I(w);G=vw(G)|0;I=+h[b>>3]-+h[k>>3]+ +h[D+48>>3];h[G>>3]=I;J=+h[y>>3];J=(+h[z>>3]-J)*.5+J+(+h[x>>3]-+h[A>>3])*-.625;h[G+8>>3]=J;h[G+16>>3]=I;H=(+h[x>>3]-+h[A>>3])*.5+J;h[G+24>>3]=H;I=I-(+h[x>>3]-+h[A>>3]);h[G+32>>3]=I;h[G+40>>3]=H;A=G+48|0;h[A>>3]=I;h[G+56>>3]=J;HD(a,G,d,f);h[B>>3]=+h[b+16>>3];J=+h[y>>3];h[B+8>>3]=(+h[z>>3]-J)*.5+J;h[B+16>>3]=+h[A>>3];h[B+24>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}else{switch(e|0){case 234881024:break;default:break a}G=d<<4;y=vw(G)|0;u=b+16|0;I=+h[u>>3];v=D+48|0;I=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[v>>3])*-1.125;h[y>>3]=I;w=b+40|0;J=+h[w>>3];x=b+24|0;A=D+56|0;z=D+72|0;J=(+h[x>>3]-J)*.5+J+(+h[A>>3]-+h[z>>3])*.125;h[y+8>>3]=J;H=+h[k>>3]-+h[v>>3]+I;h[y+16>>3]=H;h[y+24>>3]=J;h[y+32>>3]=H;J=(+h[A>>3]-+h[z>>3])*.5+J;h[y+40>>3]=J;h[y+48>>3]=I;h[y+56>>3]=J;HD(a,y,d,f);_I(y);y=vw(G)|0;J=+h[u>>3];J=(+h[b>>3]-J)*.5+J+(+h[k>>3]-+h[v>>3])*-1.125;h[y>>3]=J;I=+h[w>>3];I=(+h[x>>3]-I)*.5+I+(+h[A>>3]-+h[z>>3])*-.625;h[y+8>>3]=I;H=+h[k>>3]-+h[v>>3]+J;h[y+16>>3]=H;h[y+24>>3]=I;h[y+32>>3]=H;I=(+h[A>>3]-+h[z>>3])*.5+I;h[y+40>>3]=I;h[y+48>>3]=J;h[y+56>>3]=I;HD(a,y,d,f);_I(y);y=vw(G)|0;I=+h[u>>3];I=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[v>>3])*.125;h[y>>3]=I;J=+h[w>>3];J=(+h[x>>3]-J)*.5+J+(+h[A>>3]-+h[z>>3])*-.625;h[y+8>>3]=J;H=+h[k>>3]-+h[v>>3]+I;h[y+16>>3]=H;h[y+24>>3]=J;h[y+32>>3]=H;J=(+h[A>>3]-+h[z>>3])*.5+J;h[y+40>>3]=J;h[y+48>>3]=I;h[y+56>>3]=J;HD(a,y,d,f);_I(y);G=vw(G)|0;J=+h[u>>3];J=(+h[b>>3]-J)*.5+J+(+h[k>>3]-+h[v>>3])*.125;h[G>>3]=J;I=+h[w>>3];I=(+h[x>>3]-I)*.5+I+(+h[A>>3]-+h[z>>3])*.125;h[G+8>>3]=I;H=+h[k>>3]-+h[v>>3]+J;y=G+16|0;h[y>>3]=H;h[G+24>>3]=I;h[G+32>>3]=H;I=(+h[A>>3]-+h[z>>3])*.5+I;h[G+40>>3]=I;h[G+48>>3]=J;h[G+56>>3]=I;HD(a,G,d,f);h[B>>3]=+h[y>>3];I=+h[w>>3];y=B+8|0;h[y>>3]=(+h[x>>3]-I)*.5+I;z=B+16|0;h[z>>3]=+h[b>>3];A=b+8|0;d=b+56|0;f=B+24|0;h[f>>3]=(+h[A>>3]-+h[d>>3])*.5+I;KD(a,B,2);I=+h[u>>3];h[B>>3]=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[v>>3])*-1.125;J=+h[w>>3];h[y>>3]=(+h[x>>3]-J)*.5+J;h[z>>3]=I;h[f>>3]=(+h[A>>3]-+h[d>>3])*.5+J;KD(a,B,2);_I(G);break}}if((e|0)<285212672)if((e|0)<268435456){switch(e|0){case 251658240:break;default:break a}G=d<<4;u=vw(G)|0;v=b+16|0;J=+h[v>>3];y=D+48|0;J=J-+h[k>>3]+(+h[b>>3]-J)*.5+ +h[y>>3];h[u>>3]=J;w=b+40|0;I=+h[w>>3];x=b+24|0;A=D+56|0;z=D+72|0;I=(+h[x>>3]-I)*.5+I+(+h[A>>3]-+h[z>>3])*.125;h[u+8>>3]=I;H=(+h[k>>3]-+h[y>>3])*2.0+J;h[u+16>>3]=H;h[u+24>>3]=I;h[u+32>>3]=H;I=(+h[A>>3]-+h[z>>3])*.5+I;h[u+40>>3]=I;h[u+48>>3]=J;h[u+56>>3]=I;HD(a,u,d,f);_I(u);G=vw(G)|0;I=+h[v>>3];I=I-+h[k>>3]+(+h[b>>3]-I)*.5+ +h[y>>3];h[G>>3]=I;J=+h[w>>3];J=(+h[x>>3]-J)*.5+J+(+h[A>>3]-+h[z>>3])*-.625;h[G+8>>3]=J;H=(+h[k>>3]-+h[y>>3])*2.0+I;y=G+16|0;h[y>>3]=H;h[G+24>>3]=J;h[G+32>>3]=H;J=(+h[A>>3]-+h[z>>3])*.5+J;h[G+40>>3]=J;h[G+48>>3]=I;h[G+56>>3]=J;HD(a,G,d,f);h[B>>3]=+h[y>>3];J=+h[w>>3];y=B+8|0;h[y>>3]=(+h[x>>3]-J)*.5+J;z=B+16|0;h[z>>3]=+h[b>>3];A=b+8|0;d=b+56|0;f=B+24|0;h[f>>3]=(+h[A>>3]-+h[d>>3])*.5+J;KD(a,B,2);h[B>>3]=+h[v>>3];J=+h[w>>3];h[y>>3]=(+h[x>>3]-J)*.5+J;h[z>>3]=+h[G>>3];h[f>>3]=(+h[A>>3]-+h[d>>3])*.5+J;KD(a,B,2);_I(G);break}else{switch(e|0){case 268435456:break;default:break a}G=vw(d<<4)|0;h[G>>3]=+h[b>>3];v=D+48|0;x=D+56|0;y=D+72|0;h[G+8>>3]=+h[D+24>>3]-(+h[x>>3]-+h[y>>3])*.5;h[G+16>>3]=+h[v>>3];J=+h[x>>3];h[G+24>>3]=J-(J-+h[y>>3])*.5;h[G+32>>3]=+h[b+32>>3];z=b+40|0;h[G+40>>3]=(+h[x>>3]-+h[y>>3])*.5+ +h[z>>3];h[G+48>>3]=+h[b>>3];h[G+56>>3]=(+h[x>>3]-+h[y>>3])*.5+ +h[z>>3];HD(a,G,d,f);w=b+16|0;J=(+h[k>>3]-+h[v>>3])*.25;I=J+ +h[w>>3];h[B>>3]=I;H=+h[z>>3];u=b+24|0;F=+h[x>>3]-+h[y>>3];H=(+h[u>>3]-H)*.5+H+F*.125;A=B+8|0;h[A>>3]=H;d=B+16|0;h[d>>3]=J+I;f=B+24|0;h[f>>3]=H-F*.25;KD(a,B,2);F=(+h[k>>3]-+h[v>>3])*.25;H=F+ +h[w>>3];h[B>>3]=H;I=+h[z>>3];J=+h[x>>3]-+h[y>>3];I=(+h[u>>3]-I)*.5+I+J*-.125;h[A>>3]=I;h[d>>3]=F+H;h[f>>3]=J*.25+I;KD(a,B,2);I=(+h[k>>3]-+h[v>>3])*.25;h[B>>3]=I+ +h[w>>3];J=(+h[x>>3]-+h[y>>3])*.75+ +h[z>>3];h[A>>3]=J;h[d>>3]=+h[b>>3]-I;h[f>>3]=J;KD(a,B,2);_I(G);break}else if((e|0)<301989888){switch(e|0){case 285212672:break;default:break a}y=vw(d<<4)|0;v=b+16|0;I=+h[v>>3];z=D+48|0;I=(+h[k>>3]-+h[z>>3]+(+h[b>>3]-I))*.5+I;h[y>>3]=I;w=b+40|0;F=+h[w>>3];x=b+24|0;F=(+h[k>>3]-+h[z>>3]+(+h[x>>3]-F))*.5+F;h[y+8>>3]=F;h[y+16>>3]=I;I=+h[w>>3];o=+h[k>>3]-+h[z>>3];I=(+h[x>>3]-I-o)*.5+I;h[y+24>>3]=I;J=+h[v>>3];J=(+h[b>>3]-J-o)*.5+J;h[y+32>>3]=J;h[y+40>>3]=I;h[y+48>>3]=J;h[y+56>>3]=F;HD(a,y,d,f);_I(y);F=+h[v>>3];F=(+h[b>>3]-F)*.5+F;J=+h[k>>3]-+h[z>>3];I=J*.75;o=F+I;h[B>>3]=o;H=+h[w>>3];H=(+h[x>>3]-H)*.5+H;I=H+I;y=B+8|0;h[y>>3]=I;A=B+16|0;h[A>>3]=o;J=J*-.75;H=H+J;G=B+24|0;h[G>>3]=H;J=F+J;h[B+32>>3]=J;h[B+40>>3]=H;h[B+48>>3]=J;h[B+56>>3]=I;d=B+64|0;c[d>>2]=c[B>>2];c[d+4>>2]=c[B+4>>2];c[d+8>>2]=c[B+8>>2];c[d+12>>2]=c[B+12>>2];KD(a,B,5);I=+h[v>>3];J=+h[b>>3];h[B>>3]=(J-I)*.5+I+(+h[k>>3]-+h[z>>3])*.75;I=+h[w>>3];h[y>>3]=(+h[x>>3]-I)*.5+I;h[A>>3]=J;d=b+8|0;f=b+56|0;h[G>>3]=(+h[d>>3]-+h[f>>3])*.5+I;KD(a,B,2);I=+h[v>>3];h[B>>3]=I;J=+h[w>>3];h[y>>3]=(+h[x>>3]-J)*.5+J;h[A>>3]=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[z>>3])*-.75;h[G>>3]=(+h[d>>3]-+h[f>>3])*.5+J;KD(a,B,2);break}else{switch(e|0){case 301989888:break;default:break a}A=d+12|0;G=vw(A<<4)|0;x=b+16|0;m=+h[x>>3];s=D+48|0;m=(+h[b>>3]-m)*.5+m+(+h[k>>3]-+h[s>>3])*.25;h[G>>3]=m;y=b+40|0;F=+h[y>>3];z=b+24|0;v=D+56|0;w=D+72|0;F=(+h[v>>3]-+h[w>>3]+(+h[z>>3]-F))*.5+F;u=G+8|0;h[u>>3]=F;h[G+16>>3]=m;F=(+h[v>>3]-+h[w>>3])*.125+F;t=G+24|0;h[t>>3]=F;H=m-(+h[k>>3]-+h[s>>3])*.125;d=G+32|0;h[d>>3]=H;o=(+h[v>>3]-+h[w>>3])*.125+F;h[G+40>>3]=o;h[G+48>>3]=m;I=(+h[v>>3]-+h[w>>3])*.125+o;h[G+56>>3]=I;h[G+64>>3]=m;m=(+h[v>>3]-+h[w>>3])*.125+I;h[G+72>>3]=m;h[G+80>>3]=H;h[G+88>>3]=m;H=+h[x>>3];H=(+h[b>>3]-H)*.5+H;h[G+96>>3]=H;h[G+104>>3]=I;J=H-(+h[k>>3]-+h[s>>3])*.125;h[G+112>>3]=J;h[G+120>>3]=m;J=J-(+h[k>>3]-+h[s>>3])*.125;h[G+128>>3]=J;h[G+136>>3]=m;h[G+144>>3]=J;h[G+152>>3]=I;I=(+h[k>>3]-+h[s>>3])*.125+J;h[G+160>>3]=I;h[G+168>>3]=o;h[G+176>>3]=J;h[G+184>>3]=F;h[G+192>>3]=J;J=+h[u>>3];h[G+200>>3]=J;h[G+208>>3]=I;h[G+216>>3]=J;u=G+224|0;h[u>>3]=H;h[G+232>>3]=+h[t>>3];h[G+240>>3]=+h[d>>3];h[G+248>>3]=J;HD(a,G,A,f);J=+h[u>>3];h[B>>3]=J;H=+h[y>>3];H=(+h[z>>3]-H)*.5+H;A=B+8|0;h[A>>3]=H;d=B+16|0;h[d>>3]=J;f=B+24|0;h[f>>3]=(+h[v>>3]-+h[w>>3])*.125+H;KD(a,B,2);H=+h[u>>3];h[B>>3]=H;J=+h[y>>3];I=+h[v>>3]-+h[w>>3];J=(+h[z>>3]-J)*.5+J+I*.25;h[A>>3]=J;h[d>>3]=H;h[f>>3]=I*.125+J;KD(a,B,2);h[B>>3]=+h[x>>3];J=+h[y>>3];h[A>>3]=(+h[z>>3]-J)*.5+J;h[d>>3]=+h[b>>3];h[f>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}}else{if((e|0)<369098752){if((e|0)<335544320){switch(e|0){case 318767104:break;default:break a}A=d+4|0;G=vw(A<<4)|0;x=b+16|0;H=+h[x>>3];d=D+48|0;H=(+h[b>>3]-H)*.5+H+(+h[k>>3]-+h[d>>3])*.125;h[G>>3]=H;y=b+40|0;J=+h[y>>3];z=b+24|0;v=D+56|0;w=D+72|0;J=(+h[v>>3]-+h[w>>3]+(+h[z>>3]-J))*.5+J;h[G+8>>3]=J;o=(+h[k>>3]-+h[d>>3])*.125+H;h[G+16>>3]=o;I=(+h[v>>3]-+h[w>>3])*.125+J;h[G+24>>3]=I;h[G+32>>3]=o;o=(+h[v>>3]-+h[w>>3])*.25+I;h[G+40>>3]=o;h[G+48>>3]=H;F=(+h[v>>3]-+h[w>>3])*.125+o;h[G+56>>3]=F;H=H-(+h[k>>3]-+h[d>>3])*.25;h[G+64>>3]=H;h[G+72>>3]=F;F=H-(+h[k>>3]-+h[d>>3])*.125;h[G+80>>3]=F;h[G+88>>3]=o;h[G+96>>3]=F;h[G+104>>3]=I;h[G+112>>3]=H;h[G+120>>3]=J;HD(a,G,A,f);J=+h[x>>3];J=(+h[b>>3]-J)*.5+J;h[B>>3]=J;H=+h[y>>3];H=(+h[z>>3]-H)*.5+H;A=B+8|0;h[A>>3]=H;d=B+16|0;h[d>>3]=J;f=B+24|0;h[f>>3]=(+h[v>>3]-+h[w>>3])*.125+H;KD(a,B,2);H=+h[x>>3];H=(+h[b>>3]-H)*.5+H;h[B>>3]=H;J=+h[y>>3];I=+h[v>>3]-+h[w>>3];J=(+h[z>>3]-J)*.5+J+I*.25;h[A>>3]=J;h[d>>3]=H;h[f>>3]=I*.125+J;KD(a,B,2);h[B>>3]=+h[x>>3];J=+h[y>>3];h[A>>3]=(+h[z>>3]-J)*.5+J;h[d>>3]=+h[b>>3];h[f>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}if((e|0)<352321536){switch(e|0){case 335544320:break;default:break a}x=d+12|0;G=vw(x<<4)|0;y=b+16|0;m=+h[y>>3];u=D+48|0;m=(+h[b>>3]-m)*.5+m+(+h[k>>3]-+h[u>>3])*.25;h[G>>3]=m;z=b+40|0;F=+h[z>>3];A=b+24|0;s=D+56|0;t=D+72|0;F=(+h[s>>3]-+h[t>>3]+(+h[A>>3]-F))*.5+F;d=G+8|0;h[d>>3]=F;h[G+16>>3]=m;F=(+h[s>>3]-+h[t>>3])*.125+F;v=G+24|0;h[v>>3]=F;I=m-(+h[k>>3]-+h[u>>3])*.125;w=G+32|0;h[w>>3]=I;o=(+h[s>>3]-+h[t>>3])*.125+F;h[G+40>>3]=o;h[G+48>>3]=m;H=(+h[s>>3]-+h[t>>3])*.125+o;h[G+56>>3]=H;h[G+64>>3]=m;m=(+h[s>>3]-+h[t>>3])*.125+H;h[G+72>>3]=m;h[G+80>>3]=I;h[G+88>>3]=m;I=+h[y>>3];I=(+h[b>>3]-I)*.5+I;h[G+96>>3]=I;h[G+104>>3]=H;J=I-(+h[k>>3]-+h[u>>3])*.125;h[G+112>>3]=J;h[G+120>>3]=m;J=J-(+h[k>>3]-+h[u>>3])*.125;h[G+128>>3]=J;h[G+136>>3]=m;h[G+144>>3]=J;h[G+152>>3]=H;H=(+h[k>>3]-+h[u>>3])*.125+J;h[G+160>>3]=H;h[G+168>>3]=o;h[G+176>>3]=J;h[G+184>>3]=F;h[G+192>>3]=J;J=+h[d>>3];h[G+200>>3]=J;h[G+208>>3]=H;h[G+216>>3]=J;d=G+224|0;h[d>>3]=I;h[G+232>>3]=+h[v>>3];h[G+240>>3]=+h[w>>3];h[G+248>>3]=J;HD(a,G,x,f);c[B>>2]=c[d>>2];c[B+4>>2]=c[d+4>>2];c[B+8>>2]=c[d+8>>2];c[B+12>>2]=c[d+12>>2];d=B+16|0;h[d>>3]=+h[B>>3];J=+h[z>>3];f=B+24|0;h[f>>3]=(+h[A>>3]-J)*.5+J;KD(a,B,2);h[B>>3]=+h[y>>3];J=+h[z>>3];h[B+8>>3]=(+h[A>>3]-J)*.5+J;h[d>>3]=+h[b>>3];h[f>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}else{switch(e|0){case 352321536:break;default:break a}A=d+4|0;G=vw(A<<4)|0;x=b+16|0;I=+h[x>>3];w=D+48|0;I=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[w>>3])*.125;h[G>>3]=I;y=b+40|0;J=+h[y>>3];z=b+24|0;u=D+56|0;v=D+72|0;J=(+h[u>>3]-+h[v>>3]+(+h[z>>3]-J))*.5+J;d=G+8|0;h[d>>3]=J;o=(+h[k>>3]-+h[w>>3])*.125+I;h[G+16>>3]=o;H=(+h[u>>3]-+h[v>>3])*.125+J;h[G+24>>3]=H;h[G+32>>3]=o;o=(+h[u>>3]-+h[v>>3])*.25+H;h[G+40>>3]=o;h[G+48>>3]=I;F=(+h[u>>3]-+h[v>>3])*.125+o;h[G+56>>3]=F;I=I-(+h[k>>3]-+h[w>>3])*.25;h[G+64>>3]=I;h[G+72>>3]=F;F=I-(+h[k>>3]-+h[w>>3])*.125;h[G+80>>3]=F;h[G+88>>3]=o;h[G+96>>3]=F;h[G+104>>3]=H;h[G+112>>3]=I;h[G+120>>3]=J;HD(a,G,A,f);J=+h[x>>3];J=(+h[b>>3]-J)*.5+J;h[B>>3]=J;A=B+8|0;h[A>>3]=+h[d>>3];d=B+16|0;h[d>>3]=J;J=+h[y>>3];f=B+24|0;h[f>>3]=(+h[z>>3]-J)*.5+J;KD(a,B,2);h[B>>3]=+h[x>>3];J=+h[y>>3];h[A>>3]=(+h[z>>3]-J)*.5+J;h[d>>3]=+h[b>>3];h[f>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}}if((e|0)<402653184)if((e|0)<385875968){switch(e|0){case 369098752:break;default:break a}d=d+5|0;G=vw(d<<4)|0;B=D+48|0;h[G>>3]=+h[j>>3]-(+h[k>>3]-+h[B>>3])*.5;y=D+56|0;A=D+72|0;h[G+8>>3]=+h[D+24>>3]-(+h[y>>3]-+h[A>>3])*.5;h[G+16>>3]=+h[B>>3];J=+h[y>>3];h[G+24>>3]=J-(J-+h[A>>3])*.5;h[G+32>>3]=+h[b+32>>3];z=b+40|0;h[G+40>>3]=+h[z>>3];J=+h[k>>3];h[G+48>>3]=(J-+h[B>>3])*.5+J;h[G+56>>3]=+h[z>>3];J=+h[k>>3];h[G+64>>3]=(J-+h[B>>3])*.5+J;h[G+72>>3]=(+h[y>>3]-+h[A>>3])*.5+ +h[z>>3];h[G+80>>3]=+h[j>>3]-(+h[k>>3]-+h[B>>3])*.5;h[G+88>>3]=(+h[y>>3]-+h[A>>3])*.5+ +h[z>>3];h[G+96>>3]=+h[j>>3]-(+h[k>>3]-+h[B>>3])*.5;z=b+56|0;h[G+104>>3]=+h[z>>3];A=b+8|0;J=+h[A>>3];h[G+120>>3]=J-(J-+h[z>>3])*.5;h[G+112>>3]=+h[b>>3];h[G+136>>3]=+h[A>>3];h[G+128>>3]=+h[j>>3]-(+h[k>>3]-+h[B>>3])*.5;HD(a,G,d,f);_I(G);break}else{switch(e|0){case 385875968:break;default:break a}d=d+3|0;G=vw(d<<4)|0;B=D+48|0;h[G>>3]=+h[j>>3]-(+h[k>>3]-+h[B>>3])*.5;y=D+56|0;A=D+72|0;h[G+8>>3]=+h[D+24>>3]-(+h[y>>3]-+h[A>>3])*.5;h[G+16>>3]=+h[B>>3];J=+h[y>>3];h[G+24>>3]=J-(J-+h[A>>3])*.5;h[G+32>>3]=+h[b+32>>3];z=b+40|0;h[G+40>>3]=(+h[y>>3]-+h[A>>3])*.5+ +h[z>>3];h[G+48>>3]=+h[j>>3]-(+h[k>>3]-+h[B>>3])*.5;h[G+56>>3]=(+h[y>>3]-+h[A>>3])*.5+ +h[z>>3];h[G+64>>3]=+h[j>>3]-(+h[k>>3]-+h[B>>3])*.5;z=b+56|0;h[G+72>>3]=+h[z>>3];A=b+8|0;J=+h[A>>3];h[G+88>>3]=J-(J-+h[z>>3])*.5;h[G+80>>3]=+h[b>>3];h[G+104>>3]=+h[A>>3];h[G+96>>3]=+h[j>>3]-(+h[k>>3]-+h[B>>3])*.5;HD(a,G,d,f);_I(G);break}else if((e|0)<419430400){switch(e|0){case 402653184:break;default:break a}d=d+3|0;G=vw(d<<4)|0;h[G>>3]=+h[b>>3];y=b+8|0;z=D+48|0;A=D+56|0;B=D+72|0;h[G+8>>3]=+h[y>>3]-(+h[A>>3]-+h[B>>3])*.5;J=+h[k>>3];h[G+16>>3]=(J-+h[z>>3])*.5+J;h[G+24>>3]=+h[y>>3]-(+h[A>>3]-+h[B>>3])*.5;J=+h[k>>3];h[G+32>>3]=(J-+h[z>>3])*.5+J;h[G+40>>3]=+h[D+40>>3];h[G+48>>3]=+h[b+16>>3];J=+h[b+24>>3];y=b+40|0;h[G+56>>3]=J-(J-+h[y>>3])*.5;J=+h[k>>3];h[G+64>>3]=(J-+h[z>>3])*.5+J;h[G+72>>3]=+h[y>>3];h[G+88>>3]=(+h[A>>3]-+h[B>>3])*.5+ +h[y>>3];J=+h[k>>3];h[G+80>>3]=(J-+h[z>>3])*.5+J;h[G+104>>3]=(+h[A>>3]-+h[B>>3])*.5+ +h[b+56>>3];h[G+96>>3]=+h[b>>3];HD(a,G,d,f);_I(G);break}else{switch(e|0){case 419430400:break;default:break a}d=d+5|0;G=vw(d<<4)|0;h[G>>3]=+h[b>>3];B=b+8|0;A=D+48|0;y=D+56|0;z=D+72|0;h[G+8>>3]=+h[B>>3]-(+h[y>>3]-+h[z>>3])*.5;J=+h[k>>3];h[G+16>>3]=(J-+h[A>>3])*.5+J;h[G+24>>3]=+h[B>>3]-(+h[y>>3]-+h[z>>3])*.5;J=+h[k>>3];h[G+32>>3]=(J-+h[A>>3])*.5+J;h[G+40>>3]=+h[D+40>>3];h[G+48>>3]=+h[b+16>>3];J=+h[b+24>>3];B=b+40|0;h[G+56>>3]=J-(J-+h[B>>3])*.5;J=+h[k>>3];h[G+64>>3]=(J-+h[A>>3])*.5+J;h[G+72>>3]=+h[B>>3];h[G+88>>3]=(+h[y>>3]-+h[z>>3])*.5+ +h[B>>3];J=+h[k>>3];h[G+80>>3]=(J-+h[A>>3])*.5+J;B=b+56|0;h[G+104>>3]=(+h[y>>3]-+h[z>>3])*.5+ +h[B>>3];h[G+96>>3]=+h[j>>3]-(+h[k>>3]-+h[A>>3])*.5;h[G+112>>3]=+h[j>>3]-(+h[k>>3]-+h[A>>3])*.5;h[G+120>>3]=+h[B>>3];h[G+128>>3]=+h[b+48>>3];h[G+136>>3]=+h[B>>3];HD(a,G,d,f);_I(G);break}}while(0);_I(D)}l=E;return}function zy(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0.0;f=l;l=l+112|0;g=f;k=+h[b+8>>3]*2.0;c[g>>2]=c[b>>2];c[g+4>>2]=c[b+4>>2];c[g+8>>2]=c[b+8>>2];c[g+12>>2]=c[b+12>>2];h[g+16>>3]=+h[b+16>>3];h[g+24>>3]=k-+h[b+24>>3];h[g+32>>3]=+h[b+32>>3];h[g+40>>3]=k-+h[b+40>>3];h[g+48>>3]=+h[b+48>>3];h[g+56>>3]=k-+h[b+56>>3];h[g+64>>3]=+h[b+64>>3];h[g+72>>3]=k-+h[b+72>>3];h[g+80>>3]=+h[b+80>>3];h[g+88>>3]=k-+h[b+88>>3];i=g+96|0;j=b+96|0;c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];c[i+8>>2]=c[j+8>>2];c[i+12>>2]=c[j+12>>2];JD(a,b,d,0,0,e&255);JD(a,g,7,0,0,0);l=f;return}function Ay(a,b,c,d){a=a|0;b=+b;c=c|0;d=d|0;var e=0.0,f=0.0;f=+h[c>>3];e=+h[c+8>>3];e=(+h[d+8>>3]-e)*b+e;h[a>>3]=(+h[d>>3]-f)*b+f;h[a+8>>3]=e;return}function By(a){a=a|0;a=c[(c[a+16>>2]|0)+8>>2]|0;if(a){a=c[c[a+4>>2]>>2]|0;if((a|0)!=75)if((a|0)==78)a=2;else return ((a|0)==77?3:(a|0)==80?4:0)|0;else a=1}else a=0;return a|0}function Cy(b){b=b|0;var d=0,e=0,f=0.0,g=0,i=0,j=0,k=0.0,m=0.0,n=0.0,o=0.0,p=0,q=0.0,r=0.0,s=0.0,t=0.0,u=0.0,v=0.0,w=0.0,x=0.0,y=0.0,z=0.0,A=0,D=0,G=0,H=0,I=0,J=0,L=0,M=0,N=0,P=0.0,Q=0.0,R=0,S=0,T=0.0,U=0.0,V=0.0,W=0,X=0,Y=0,Z=0,_=0,$=0,aa=0,ba=0.0;aa=l;l=l+144|0;J=aa+112|0;N=aa+104|0;G=aa+96|0;H=aa+88|0;i=aa+80|0;Y=aa+64|0;_=aa+48|0;R=aa+40|0;S=aa+32|0;j=aa+24|0;p=aa+16|0;D=aa+136|0;A=aa+128|0;L=aa;$=vw(48)|0;Z=b+16|0;W=c[(c[(c[Z>>2]|0)+8>>2]|0)+8>>2]|0;g=(W|0)==1552;X=c[W>>2]|0;d=c[W+4>>2]|0;e=c[W+8>>2]|0;m=+h[W+16>>3];n=+h[W+32>>3];o=+h[W+24>>3];X=X|(IA(Im(b,90545)|0)|0)&255;do if(!g){if(!X){W=c[Z>>2]|0;k=+h[W+32>>3]*72.0;f=+h[W+40>>3]*72.0;f=+(~~(f+(f>=0.0?.5:-.5))|0);k=+(~~(k+(k>=0.0?.5:-.5))|0);break}k=+My(b);if(k>0.0)f=k;else{W=c[Z>>2]|0;f=+h[W+32>>3];k=+h[W+40>>3];k=(f<k?f:k)*72.0;k=+(~~(k+(k>=0.0?.5:-.5))|0);f=k}}else{f=0.0;k=0.0}while(0);W=DA(b,c[42204]|0,d,0)|0;V=+EA(b,c[42206]|0,0.0,-360.0)+m;if(!e){U=+EA(b,c[42207]|0,0.0,-100.0);I=DA(b,c[42203]|0,4,0)|0;T=+EA(b,c[42208]|0,0.0,-100.0)}else{I=e;U=n;T=o}d=c[(c[Z>>2]|0)+104>>2]|0;e=d+24|0;c[Y>>2]=c[e>>2];c[Y+4>>2]=c[e+4>>2];c[Y+8>>2]=c[e+8>>2];c[Y+12>>2]=c[e+12>>2];q=+h[Y>>3];if(q>0.0){if(!g)M=11}else if(!(g|!(+h[Y+8>>3]>0.0)))M=11;if((M|0)==11){d=Im(b,90530)|0;do if(d){h[p>>3]=0.0;h[j>>3]=0.0;c[i>>2]=j;c[i+4>>2]=p;d=cM(d,90537,i)|0;m=+h[j>>3];if(m<0.0){h[j>>3]=0.0;m=0.0}n=+h[p>>3];if(n<0.0){h[p>>3]=0.0;o=0.0}else o=n;if((d|0)<=0){n=q+16.0;h[Y>>3]=n;m=8.0;break}m=m*72.0;m=+(~~(m+(m>=0.0?.5:-.5))<<1|0);n=q+m;h[Y>>3]=n;if((d|0)!=1){m=o*72.0;m=+(~~(m+(m>=0.0?.5:-.5))<<1|0)}}else{n=q+16.0;h[Y>>3]=n;m=8.0}while(0);d=Y+8|0;h[d>>3]=+h[d>>3]+m;d=c[(c[Z>>2]|0)+104>>2]|0;q=n}s=+h[d+24>>3];m=+h[c[(c[(ro(b)|0)+16>>2]|0)+8>>2]>>3];if(m>0.0){P=m*72.0;P=+(~~(P+(P>=0.0?.5:-.5))|0);Q=+Ny(q,P);h[Y>>3]=Q;p=Y+8|0;h[p>>3]=+Ny(+h[p>>3],P)}else Q=q;d=c[(c[Z>>2]|0)+8>>2]|0;do if(!(a[d+12>>0]|0)){e=Im(b,93847)|0;if((e|0)!=0?(a[e>>0]|0)!=0:0){Pr(A,ro(b)|0,e);d=c[A>>2]|0;g=c[A+4>>2]|0;if((g&d|0)==-1){d=Dn(b)|0;c[G>>2]=e;c[G+4>>2]=d;_l(0,90621,G)|0;e=0;d=0;break}else{a[(c[(ro(b)|0)+16>>2]|0)+114>>0]=1;e=d+2|0;d=g+2|0;break}}else{e=0;d=0}}else{d=c[d>>2]|0;if((a[d>>0]|0)==99?(xJ(d,90553)|0)==0:0){e=Im(b,90560)|0;Pr(D,ro(b)|0,e);d=c[D>>2]|0;g=c[D+4>>2]|0;if((g&d|0)==-1){d=Dn(b)|0;c[H>>2]=e|0?e:90570;c[H+4>>2]=d;_l(0,90576,H)|0;e=0;d=0;break}else{a[(c[(ro(b)|0)+16>>2]|0)+114>>0]=1;e=d+2|0;d=g+2|0;break}}else{e=0;d=0}}while(0);P=+(e|0);h[_>>3]=Q>P?Q:P;P=+h[Y+8>>3];r=+(d|0);d=_+8|0;h[d>>3]=P>r?P:r;e=(I|0)<3&(T!=0.0|U!=0.0)?120:I;g=Im(b,90662)|0;if(!g)i=99;else{i=a[g>>0]|0;i=i<<24>>24==116?116:i<<24>>24==98?98:99}g=c[Z>>2]|0;a[(c[g+104>>2]|0)+80>>0]=i;if((e|0)==4?(T==0.0?((~~(V+(V>=0.0?.5:-.5))|0)%90|0|0)==0:0)&U==0.0:0)p=1;else M=39;do if((M|0)==39){g=c[(c[(c[g+8>>2]|0)+8>>2]|0)+44>>2]|0;if(g|0){p=c[g>>2]|0;c[J>>2]=c[_>>2];c[J+4>>2]=c[_+4>>2];c[J+8>>2]=c[_+8>>2];c[J+12>>2]=c[_+12>>2];hb[p&31](L,J);c[_>>2]=c[L>>2];c[_+4>>2]=c[L+4>>2];c[_+8>>2]=c[L+8>>2];c[_+12>>2]=c[L+12>>2];p=0;break}m=+h[d>>3];n=m*1.4142135623730951;if(f>n&i<<24>>24==99){o=m/f;o=+C(+(1.0/(1.0-o*o)));o=+h[_>>3]*o;h[_>>3]=o}else{o=+h[_>>3]*1.4142135623730951;h[_>>3]=o;h[d>>3]=n;m=n}if((e|0)>2){z=+E(+(3.141592653589793/+(e|0)));h[_>>3]=o/z;h[d>>3]=m/z;p=0}else p=0}while(0);m=+h[d>>3];g=FA(b,c[42209]|0,122100)|0;if((a[g>>0]|0)==115?(xJ(g,90671)|0)==0:0){h[_>>3]=k;h[d>>3]=f;N=$+40|0;c[N>>2]=c[N>>2]|2048}else{if(!((IA(g)|0)<<24>>24)){z=+h[_>>3];k=k>z?k:z;h[_>>3]=k;z=+h[d>>3];f=f>z?f:z}else{M=c[(c[Z>>2]|0)+104>>2]|0;if(!(!(k<+h[M+24>>3])?!(f<+h[M+32>>3]):0)){L=Dn(b)|0;M=Dn(ro(b)|0)|0;c[N>>2]=L;c[N+4>>2]=M;_l(0,90677,N)|0}h[_>>3]=k}h[d>>3]=f}if(!X){z=f;y=k}else{y=k>f?k:f;h[d>>3]=y;h[_>>3]=y;z=y}do if(!((IA(FA(b,c[42200]|0,122100)|0)|0)<<24>>24)){if(p){f=+h[(Q>+h[_>>3]?Y:_)>>3];break}f=+h[d>>3];if(P<f){f=+h[_>>3]*+C(+(1.0-P*P/(f*f)));f=Q>f?Q:f}else f=Q}else f=Q;while(0);g=c[(c[Z>>2]|0)+104>>2]|0;h[g+40>>3]=s-q+f;A=$+40|0;if(!(c[A>>2]&2048)){x=+h[d>>3]-m;h[g+48>>3]=(P<r?r-P+x:x)+P}j=(W|0)>1;g=j?W:1;a:do if((e|0)<3){g=vw(g<<5)|0;k=+h[_>>3]*.5;f=+h[d>>3]*.5;h[g>>3]=-k;h[g+8>>3]=-f;h[g+16>>3]=k;h[g+24>>3]=f;if(j){e=1;i=2;while(1){if((e|0)==(W|0))break;y=k+4.0;z=f+4.0;h[g+(i<<4)>>3]=-y;h[g+(i<<4)+8>>3]=-z;S=i|1;h[g+(S<<4)>>3]=y;h[g+(S<<4)+8>>3]=z;e=e+1|0;i=i+2|0;k=y;f=z}h[_>>3]=k*2.0;h[d>>3]=f*2.0;e=2}else e=2}else{g=vw(O(g<<4,e)|0)|0;i=c[(c[(c[(c[Z>>2]|0)+8>>2]|0)+8>>2]|0)+44>>2]|0;b:do if(!i){q=6.283185307179586/+(e|0);t=q*.5;r=+F(+t);s=+QJ(+B(+U)+ +B(+T),1.0);t=T*1.4142135623730951/+E(+t);u=U*.5;SJ((q+-3.141592653589793)*.5,R,S);v=V*.017453292519943295;k=0.0;f=0.0;m=0.0;i=0;n=+h[S>>3]*.5;o=+h[R>>3]*.5;while(1){if((i|0)>=(e|0))break b;m=m+q;SJ(m,R,S);n=+h[S>>3]*r+n;o=+h[R>>3]*r+o;x=(o*t+s)*n+u*o;SJ(+K(+o,+x)+v,R,S);x=+QJ(x,o);w=+h[S>>3]*x*+h[_>>3];x=+h[R>>3]*x*+h[d>>3];ba=+B(+w);f=ba>f?ba:f;ba=+B(+x);k=ba>k?ba:k;h[g+(i<<4)>>3]=w;h[g+(i<<4)+8>>3]=x;if(p)break;else i=i+1|0}ba=-w;h[g+16>>3]=ba;h[g+24>>3]=x;h[g+32>>3]=ba;ba=-x;h[g+40>>3]=ba;h[g+48>>3]=w;h[g+56>>3]=ba}else{hb[c[i+4>>2]&31](g,_);k=+h[d>>3]*.5;f=+h[_>>3]*.5}while(0);f=f*2.0;k=k*2.0;y=y>f?y:f;h[_>>3]=y;ba=z>k?z:k;h[d>>3]=ba;f=y/f;k=ba/k;i=0;while(1){if((i|0)>=(e|0))break;N=g+(i<<4)|0;b=g+(i<<4)+8|0;ba=+h[b>>3]*k;h[N>>3]=+h[N>>3]*f;h[b>>3]=ba;i=i+1|0}if(j){j=e+-1|0;k=+h[g>>3];m=+h[g+8>>3];f=+K(+(m-+h[g+(j<<4)+8>>3]),+(k-+h[g+(j<<4)>>3]));j=0;c:while(1){if((j|0)>=(e|0))break;p=j+1|0;i=(p|0)%(e|0)|0;n=+h[g+(i<<4)>>3];o=+h[g+(i<<4)+8>>3];q=+K(+(o-m),+(n-k));z=(f+3.141592653589793-q)*.5;ba=4.0/+F(+z);SJ(f-z,R,S);h[R>>3]=+h[R>>3]*ba;h[S>>3]=+h[S>>3]*ba;i=1;f=m;while(1){if((i|0)==(W|0)){f=q;j=p;k=n;m=o;continue c}z=+h[S>>3]+k;ba=+h[R>>3]+f;b=(O(i,e)|0)+j|0;h[g+(b<<4)>>3]=z;h[g+(b<<4)+8>>3]=ba;i=i+1|0;k=z;f=ba}}j=O(e,W+-1|0)|0;i=0;while(1){if((i|0)>=(e|0))break a;S=i+j|0;z=+h[g+(S<<4)+8>>3];y=+B(+(+h[g+(S<<4)>>3]))*2.0;ba=+h[_>>3];h[_>>3]=y>ba?y:ba;z=+B(+z)*2.0;ba=+h[d>>3];h[d>>3]=z>ba?z:ba;i=i+1|0}}}while(0);c[$>>2]=X;c[$+4>>2]=W;c[$+8>>2]=e;h[$+16>>3]=V;h[$+32>>3]=U;h[$+24>>3]=T;c[$+44>>2]=g;f=+h[_>>3];if(!(c[A>>2]&2048)){e=c[Z>>2]|0;h[e+32>>3]=f*.013888888888888888}else{e=c[Z>>2]|0;h[e+32>>3]=+h[(Q>f?Y:_)>>3]*.013888888888888888;d=(P>+h[d>>3]?Y:_)+8|0}h[e+40>>3]=+h[d>>3]*.013888888888888888;c[e+12>>2]=$;l=aa;return}function Dy(a){a=a|0;var b=0,d=0,e=0,f=0,g=0.0,i=0.0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+64|0;j=o+40|0;e=o+32|0;k=o+16|0;n=o;d=(c[(c[(ro(a)|0)+16>>2]|0)+116>>2]|0)>>>2&1^1;m=a+16|0;f=c[c[(c[m>>2]|0)+104>>2]>>2]|0;c[42326]=f;f=rJ(f)|0;f=vw(((f|0)>1?f:1)+1|0)|0;b=Fy(a,d,1,f)|0;if(!b){c[e>>2]=c[c[(c[m>>2]|0)+104>>2]>>2];_l(1,90506,e)|0;c[42326]=90527;b=Fy(a,d,1,f)|0}_I(f);Gy(j,a,b);d=c[m>>2]|0;i=+h[d+32>>3]*72.0;i=+(~~(i+(i>=0.0?.5:-.5))|0);h[n>>3]=i;g=+h[d+40>>3]*72.0;g=+(~~(g+(g>=0.0?.5:-.5))|0);d=n+8|0;h[d>>3]=g;if(!((IA(FA(a,c[42209]|0,122100)|0)|0)<<24>>24)){i=+h[(+h[b>>3]>i?b:n)>>3];h[n>>3]=i;e=b+8|0;g=+h[(+h[e>>3]>g?b:n)+8>>3];h[d>>3]=g;d=e;e=b}else{d=b+8|0;e=b}a=(IA(FA(a,c[42200]|0,122100)|0)|0)&255;c[j>>2]=c[n>>2];c[j+4>>2]=c[n+4>>2];c[j+8>>2]=c[n+8>>2];c[j+12>>2]=c[n+12>>2];Hy(b,j,a);Iy(k,i*-.5,g*.5);c[j>>2]=c[k>>2];c[j+4>>2]=c[k+4>>2];c[j+8>>2]=c[k+8>>2];c[j+12>>2]=c[k+12>>2];Jy(b,j,15);n=c[m>>2]|0;h[n+32>>3]=+h[e>>3]*.013888888888888888;h[n+40>>3]=(+h[d>>3]+1.0)*.013888888888888888;c[n+12>>2]=b;l=o;return}function Ey(a){a=a|0;var b=0.0,d=0,e=0.0,f=0.0,g=0,i=0,j=0,k=0,l=0.0,m=0;j=vw(48)|0;k=a+16|0;g=c[(c[(c[(c[k>>2]|0)+8>>2]|0)+8>>2]|0)+4>>2]|0;f=+EA(a,c[42190]|0,1797693134862315708145274.0e284,0.0);b=+EA(a,c[42189]|0,1797693134862315708145274.0e284,0.0);f=f<b?f:b;f=b==1797693134862315708145274.0e284&f==1797693134862315708145274.0e284?.05:f>0.0?(f>.0003?f:.0003):f;i=c[k>>2]|0;h[i+40>>3]=f;h[i+32>>3]=f;b=f*72.0;g=DA(a,c[42204]|0,g,0)|0;i=vw((g|0)<1?32:g<<5)|0;f=f*36.0;e=-f;h[i>>3]=e;h[i+8>>3]=e;h[i+16>>3]=f;h[i+24>>3]=f;if((g|0)>1){a=1;d=2;e=f;b=f;while(1){if((a|0)==(g|0))break;l=e+4.0;f=b+4.0;h[i+(d<<4)>>3]=-l;h[i+(d<<4)+8>>3]=-f;m=d|1;h[i+(m<<4)>>3]=l;h[i+(m<<4)+8>>3]=f;a=a+1|0;d=d+2|0;e=l;b=f}b=e*2.0}c[j>>2]=1;c[j+4>>2]=g;c[j+8>>2]=2;m=j+16|0;c[m>>2]=0;c[m+4>>2]=0;c[m+8>>2]=0;c[m+12>>2]=0;c[m+16>>2]=0;c[m+20>>2]=0;c[j+44>>2]=i;l=b*.013888888888888888;m=c[k>>2]|0;h[m+32>>3]=l;h[m+40>>3]=l;c[m+12>>2]=j;return}function Fy(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0;g=vw(72)|0;n=c[(c[b+16>>2]|0)+104>>2]|0;m=0;i=1;j=c[42326]|0;a:while(1){k=a[j>>0]|0;switch(k<<24>>24){case 0:break a;case 92:{j=j+1|0;k=a[j>>0]|0;switch(k<<24>>24){case 124:case 125:case 123:case 92:{l=m;break}default:E=4}break}default:E=4}if((E|0)==4){E=0;switch(k<<24>>24){case 123:{l=m+1|0;break}case 125:{l=m+-1|0;break}default:{l=m;i=i+((m|0)==0&k<<24>>24==124&1)|0}}if((l|0)<0)break}m=l;j=j+1|0}B=g+56|0;c[B>>2]=vw(i<<2)|0;a[g+64>>0]=d;y=(d|0)==0&1;z=n+82|0;A=f+1|0;v=(e|0)!=0;w=n+16|0;x=n+4|0;u=n+8|0;k=0;m=0;d=0;t=0;l=0;e=0;n=f;i=0;j=0;b:while(1){p=k;k=0;c:while(1){d:while(1){s=e;e:while(1){r=k;o=i;f:while(1){q=m;g:while(1){while(1){if(t){E=78;break b}m=c[42326]|0;i=a[m>>0]|0;if((i+-1&255)>=31)break;c[42326]=m+1}switch(i<<24>>24|0){case 92:{E=53;break d}case 0:case 124:case 125:break e;case 60:break f;case 62:break g;case 123:break;default:{k=d;i=m;break d}}i=m+1|0;c[42326]=i;if(l|0){E=34;break b}if(!(a[i>>0]|0)){E=34;break b}e=Fy(b,y,0,f)|0;c[(c[B>>2]|0)+(q<<2)>>2]=e;if(!e){E=36;break b}else{q=q+1|0;l=4}}if(a[z>>0]|0){k=d;i=m;break d}if(!(l&16)){E=27;break b}if(o>>>0>A>>>0?(C=o+-1|0,(C|0)!=(s|0)):0)i=(a[C>>0]|0)==32?C:o;else i=o;a[i>>0]=0;r=GL(f)|0;c[42326]=(c[42326]|0)+1;m=q;l=l&-17;o=i}if(l&6|0){E=22;break b}if(a[z>>0]|0){k=d;i=m;break d}c[42326]=m+1;m=q;l=l|18;k=r;s=f;i=f}if(!((l&16|0)==0&(v|i<<24>>24!=0))){E=38;break b}if(!(l&4)){k=vw(72)|0;c[(c[B>>2]|0)+(q<<2)>>2]=k;m=q+1|0}else{k=p;m=q}if(r|0)c[k+60>>2]=r;if(!(l&5)){a[f+j>>0]=32;l=l|1;j=j+1|0}i=f+j|0;if(l&1){if((j|0)>1?(D=i+-1|0,(D|0)!=(n|0)):0)i=(a[D>>0]|0)==32?D:i;a[i>>0]=0;n=GL(f)|0;c[k+52>>2]=lw(b,n,a[z>>0]|0?2:0,+h[w>>3],c[x>>2]|0,c[u>>2]|0)|0;a[k+64>>0]=1;n=f;j=0}i=c[42326]|0;switch(a[i>>0]|0){case 0:{t=1;e=s;i=o;continue b}case 125:{E=51;break b}default:{}}c[42326]=i+1;p=k;l=0;k=0;e=s;i=o}h:do if((E|0)==53){E=0;k=f+j|0;i=m+1|0;switch(a[i>>0]|0){case 0:{k=d;i=m;break h}case 62:case 60:case 124:case 125:case 123:{k=d;break}case 32:{if(!(a[z>>0]|0))k=1;else E=55;break}default:E=55}if((E|0)==55){E=0;a[k>>0]=92;k=d;l=l|9;j=j+1|0}c[42326]=i}while(0);d=f+j|0;if(l&4|0?(a[i>>0]|0)!=32:0){E=59;break b}if(!(l&24))l=(a[i>>0]|0)==32?l:l|9;if(!(l&8))if(!(l&16))e=s;else{m=a[i>>0]|0;d=(k|0)!=0;if(!(d|m<<24>>24!=32))if((o|0)!=(f|0))if((a[o+-1>>0]|0)==32)m=o;else E=73;else m=f;else E=73;if((E|0)==73){E=0;a[o>>0]=m;m=o+1|0;i=c[42326]|0}e=d?m+-1|0:s;o=m}else{m=a[i>>0]|0;e=(k|0)!=0;if(!((!(e|m<<24>>24!=32)?(a[d+-1>>0]|0)==32:0)?(a[z>>0]|0)==0:0)){a[d>>0]=m;j=j+1|0}if(e){e=s;n=f+j+-1|0}else e=s}i=i+1|0;c[42326]=i;while(1){if((a[i>>0]|0)>=0){m=q;d=k;k=r;i=o;continue c}s=i+1|0;c[42326]=s;a[f+j>>0]=a[i>>0]|0;j=j+1|0;i=s}}}if((E|0)==22){Ky(g,r);g=0}else if((E|0)==27){Ky(g,r);g=0}else if((E|0)==34){Ky(g,r);g=0}else if((E|0)==36){Ky(g,r);g=0}else if((E|0)==38){Ky(g,r);g=0}else if((E|0)==51){c[42326]=i+1;c[g+48>>2]=m}else if((E|0)==59){Ky(g,r);g=0}else if((E|0)==78)c[g+48>>2]=q;return g|0}function Gy(b,d,e){b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+64|0;k=u+48|0;m=u+40|0;n=u+32|0;t=u+16|0;s=u;j=c[e+52>>2]|0;a:do if(!j){n=t+8|0;o=e+48|0;p=e+56|0;q=e+64|0;r=s+8|0;c[t>>2]=0;c[t+4>>2]=0;c[t+8>>2]=0;c[t+12>>2]=0;j=0;while(1){if((j|0)>=(c[o>>2]|0))break a;Gy(s,d,c[(c[p>>2]|0)+(j<<2)>>2]|0);if(!(a[q>>0]|0)){h[n>>3]=+h[n>>3]+ +h[r>>3];k=t;m=+h[t>>3]>+h[s>>3]?t:s}else{h[t>>3]=+h[t>>3]+ +h[s>>3];k=n;m=(+h[n>>3]>+h[r>>3]?t:s)+8|0}h[k>>3]=+h[m>>3];j=j+1|0}}else{g=+h[j+24>>3];f=+h[j+32>>3];if(g>0.0|f>0.0){j=Im(d,90530)|0;do if(j){c[k>>2]=m;c[k+4>>2]=n;j=cM(j,90537,k)|0;if((j|0)<=0){i=8.0;g=g+16.0;break}i=+h[m>>3]*72.0;i=+(~~(i+(i>=0.0?.5:-.5))<<1|0);g=g+i;if((j|0)!=1){i=+h[n>>3]*72.0;i=+(~~(i+(i>=0.0?.5:-.5))<<1|0)}}else{i=8.0;g=g+16.0}while(0);f=i+f}h[t>>3]=g;h[t+8>>3]=f}while(0);c[e>>2]=c[t>>2];c[e+4>>2]=c[t+4>>2];c[e+8>>2]=c[t+8>>2];c[e+12>>2]=c[t+12>>2];c[b>>2]=c[t>>2];c[b+4>>2]=c[t+4>>2];c[b+8>>2]=c[t+8>>2];c[b+12>>2]=c[t+12>>2];l=u;return}function Hy(b,d,e){b=b|0;d=d|0;e=e|0;var f=0.0,g=0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0.0,r=0.0,s=0;s=l;l=l+32|0;o=s+16|0;p=s;q=+h[d>>3];i=q-+h[b>>3];r=+h[d+8>>3];f=r-+h[b+8>>3];c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];d=c[b+52>>2]|0;if(!((e|0)!=0|(d|0)==0)){n=d+40|0;h[n>>3]=+h[n>>3]+i;n=d+48|0;h[n>>3]=+h[n>>3]+f}m=b+48|0;d=c[m>>2]|0;a:do if(d|0){n=b+64|0;f=((a[n>>0]|0)==0?f:i)/+(d|0);k=b+56|0;j=0;while(1){if((j|0)>=(d|0))break a;b=c[(c[k>>2]|0)+(j<<2)>>2]|0;g=j+1|0;d=~~(f*+(g|0))-~~(f*+(j|0))|0;if(!(a[n>>0]|0))Iy(p,q,+h[b+8>>3]+ +(d|0));else Iy(p,+h[b>>3]+ +(d|0),r);c[o>>2]=c[p>>2];c[o+4>>2]=c[p+4>>2];c[o+8>>2]=c[p+8>>2];c[o+12>>2]=c[p+12>>2];Hy(b,o,e);j=g;d=c[m>>2]|0}}while(0);l=s;return}function Iy(a,b,c){a=a|0;b=+b;c=+c;h[a>>3]=b;h[a+8>>3]=c;return}function Jy(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0,s=0.0;q=l;l=l+48|0;j=q+32|0;n=q+16|0;m=q;a[b+65>>0]=e;k=b+16|0;s=+h[d>>3];p=d+8|0;r=+h[p>>3];Iy(n,s,r-+h[b+8>>3]);c[k>>2]=c[n>>2];c[k+4>>2]=c[n+4>>2];c[k+8>>2]=c[n+8>>2];c[k+12>>2]=c[n+12>>2];k=b+32|0;Iy(m,+h[b>>3]+s,r);c[k>>2]=c[m>>2];c[k+4>>2]=c[m+4>>2];c[k+8>>2]=c[m+8>>2];c[k+12>>2]=c[m+12>>2];k=c[b+48>>2]|0;m=k+-1|0;n=(e|0)==0;o=b+56|0;i=b+64|0;g=0;while(1){if((g|0)>=(k|0))break;do if(!n){b=(g|0)==0;f=(g|0)==(m|0);if(!(a[i>>0]|0))if(b){b=f?15:14;break}else{b=f?11:10;break}else if(b){b=f?15:13;break}else{b=f?7:5;break}}else b=0;while(0);f=c[(c[o>>2]|0)+(g<<2)>>2]|0;c[j>>2]=c[d>>2];c[j+4>>2]=c[d+4>>2];c[j+8>>2]=c[d+8>>2];c[j+12>>2]=c[d+12>>2];Jy(f,j,b&e);if(!(a[i>>0]|0))h[p>>3]=+h[p>>3]-+h[(c[(c[o>>2]|0)+(g<<2)>>2]|0)+8>>3];else h[d>>3]=+h[c[(c[o>>2]|0)+(g<<2)>>2]>>3]+ +h[d>>3];g=g+1|0}l=q;return}function Ky(a,b){a=a|0;b=b|0;Ly(a);_I(b);return}function Ly(a){a=a|0;var b=0,d=0,e=0;d=a+48|0;e=a+56|0;b=0;while(1){if((b|0)>=(c[d>>2]|0))break;Ly(c[(c[e>>2]|0)+(b<<2)>>2]|0);b=b+1|0}_I(c[a+60>>2]|0);ow(c[a+52>>2]|0);_I(c[e>>2]|0);_I(a);return}function My(a){a=a|0;var b=0.0,d=0.0;d=+EA(a,c[42190]|0,0.0,.01);b=+EA(a,c[42189]|0,0.0,.02);b=(d>b?d:b)*72.0;return +(+(~~(b+(b>=0.0?.5:-.5))|0))}function Ny(a,b){a=+a;b=+b;var c=0;c=~~(a/b);return +(+((+(c|0)*b+1.0e-05<a&1)+c|0)*b)}function Oy(a){a=a|0;a=c[(c[a+16>>2]|0)+8>>2]|0;if(!a)a=0;else a=(c[c[a+4>>2]>>2]|0)==75&1;return a|0}function Py(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;f=c[42327]|0;a:do if(!f)d=0;else{g=c[42328]|0;e=0;while(1){if((e|0)>=(g|0)){d=0;break a}d=c[f+(e<<2)>>2]|0;h=c[d>>2]|0;if((a[h>>0]|0)==(a[b>>0]|0)?(xJ(h,b)|0)==0:0)break a;e=e+1|0}}while(0);return d|0}function Qy(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;if(RA(Im(d,90560)|0)|0)if((a[b>>0]|0)==101?(xJ(b,90725)|0)==0:0){d=101;g=6}else{b=90553;g=4}else g=4;if((g|0)==4){d=a[b>>0]|0;if(d<<24>>24==99)if(!(xJ(b,90553)|0))g=11;else{d=99;g=6}else g=6}a:do if((g|0)==6){e=19868;while(1){f=c[e>>2]|0;if(!f){g=11;break a}if((a[f>>0]|0)==d<<24>>24?(xJ(f,b)|0)==0:0){b=e;break a}e=e+16|0}}while(0);if((g|0)==11)b=Ry(b)|0;return b|0}function Ry(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;h=l;l=l+16|0;g=h;d=Py(b)|0;if(!d){f=c[42328]|0;d=f+1|0;c[42328]=d;e=c[42327]|0;if(!e)d=ww(d<<2)|0;else d=yw(e,d<<2)|0;c[42327]=d;d=vw(16)|0;c[(c[42327]|0)+(f<<2)>>2]=d;c[d>>2]=c[4967];c[d+4>>2]=c[4968];c[d+8>>2]=c[4969];c[d+12>>2]=c[4970];e=GL(b)|0;c[d>>2]=e;do if(!0){if((a[b>>0]|0)==99?(xJ(b,90553)|0)==0:0){e=1;break}c[g>>2]=c[4967];c[g+4>>2]=e;_l(0,90730,g)|0;e=0}else e=1;while(0);a[d+12>>0]=e}l=h;return d|0}function Sy(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;d=+h[b>>3]*.5257311121191336;c=+h[b+8>>3]*.8944271909999159;c=d>c?d:c;h[a>>3]=c*4.97979656976556;h[a+8>>3]=c*4.73606797749979;return}function Ty(a,b){a=a|0;b=b|0;var c=0.0,d=0.0,e=0.0,f=0,g=0.0,i=0.0,j=0.0,k=0,l=0,m=0.0;d=+h[b>>3];k=b+8|0;e=+h[k>>3];c=e/d;if(!(c>.9510565162951536))if(c<.9510565162951536){j=d;e=d*.9510565162951536}else j=d;else j=e*1.0514622242382672;d=j*.5257311121191336;g=j*.20081141588622725;i=j*.05020285397155681;c=.3141592653589793;f=0;while(1){if((f|0)>=10)break;h[a+(f<<4)>>3]=+E(+c)*d;h[a+(f<<4)+8>>3]=+F(+c)*d-i;m=c+.6283185307179586;l=f|1;h[a+(l<<4)>>3]=+E(+m)*g;h[a+(l<<4)+8>>3]=+F(+m)*g-i;c=c+1.2566370614359172;f=f+2|0}h[b>>3]=j;h[k>>3]=e;return}function Uy(a){a=a|0;a=c[(c[a+16>>2]|0)+12>>2]|0;if(a|0){_I(c[a+44>>2]|0);_I(a)}return}function Vy(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+80|0;k=o+40|0;g=o;n=o+64|0;h=o+56|0;if(!(a[e>>0]|0)){g=4144;h=b+40|0;do{c[b>>2]=c[g>>2];b=b+4|0;g=g+4|0}while((b|0)<(h|0))}else{i=(f|0)==0?91400:f;c[n>>2]=15;j=d+16|0;f=c[j>>2]|0;do if(a[(c[f+104>>2]|0)+82>>0]|0){f=HF(d,e,n)|0;if(!f){f=c[j>>2]|0;m=8;break}if(hz(d,f,g,i,c[n>>2]|0,0)|0){c[k>>2]=Dn(d)|0;c[k+4>>2]=e;c[k+8>>2]=i;_l(0,91402,k)|0}}else m=8;while(0);if((m|0)==8){if((c[(c[f+8>>2]|0)+8>>2]|0)==1600)h=0;else{c[h>>2]=d;c[h+4>>2]=0}if(hz(d,0,g,e,c[n>>2]|0,h)|0)iz(d,e)}c[g+36>>2]=0;h=b+40|0;do{c[b>>2]=c[g>>2];b=b+4|0;g=g+4|0}while((b|0)<(h|0))}l=o;return}function Wy(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0,g=0,i=0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0.0,t=0;r=l;l=l+112|0;n=r+96|0;m=r+80|0;p=r+64|0;k=r+48|0;q=r+32|0;o=r;f=r+16|0;if(!a){c[42331]=0;a=0}else{g=c[a+4>>2]|0;a=c[a>>2]|0;i=(c[(c[(ro(a)|0)+16>>2]|0)+116>>2]&3)*90|0;c[n>>2]=c[b>>2];c[n+4>>2]=c[b+4>>2];c[n+8>>2]=c[b+8>>2];c[n+12>>2]=c[b+12>>2];aw(f,n,i);c[q>>2]=c[f>>2];c[q+4>>2]=c[f+4>>2];c[q+8>>2]=c[f+8>>2];c[q+12>>2]=c[f+12>>2];a:do if(g){d=+h[g+8>>3];e=+h[g+24>>3];s=+h[q>>3];if((+h[g>>3]<=s?s<=+h[g+16>>3]:0)?(j=+h[q+8>>3],d<=j):0)a=j<=e&1;else a=0}else{if((a|0)==(c[42331]|0)){f=c[42332]|0;g=c[42334]|0;i=c[42333]|0}else{g=c[(c[a+16>>2]|0)+12>>2]|0;c[42335]=g;i=c[g+44>>2]|0;c[42333]=i;f=c[g+8>>2]|0;c[42332]=f;g=O((c[g+4>>2]|0)+-1|0,f)|0;g=(g|0)>0?g:0;c[42334]=g;c[42331]=a}a=0;b=0;while(1){if((a|0)>=(f|0)){a=1;break a}t=i+(g+a<<4)|0;c[o>>2]=c[t>>2];c[o+4>>2]=c[t+4>>2];c[o+8>>2]=c[t+8>>2];c[o+12>>2]=c[t+12>>2];t=i+(g+((a+4|0)%(f|0)|0)<<4)|0;c[k>>2]=c[q>>2];c[k+4>>2]=c[q+4>>2];c[k+8>>2]=c[q+8>>2];c[k+12>>2]=c[q+12>>2];c[p>>2]=c[41802];c[p+4>>2]=c[41803];c[p+8>>2]=c[41804];c[p+12>>2]=c[41805];c[m>>2]=c[o>>2];c[m+4>>2]=c[o+4>>2];c[m+8>>2]=c[o+8>>2];c[m+12>>2]=c[o+12>>2];c[n>>2]=c[t>>2];c[n+4>>2]=c[t+4>>2];c[n+8>>2]=c[t+8>>2];c[n+12>>2]=c[t+12>>2];b=b+((gz(k,p,m,n)|0)==0&1)|0;if((b|0)==2){a=0;break}else a=a+2|0}}while(0)}l=r;return a|0}function Xy(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;e=c[b+16>>2]|0;if((a[(c[e+104>>2]|0)+82>>0]|0)!=0?(a[e+145>>0]|0)!=0:0)b=KF(b,d,0,f,g)|0;else b=0;return b|0}function Yy(e,f){e=e|0;f=f|0;var i=0,j=0,k=0.0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0.0,C=0.0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,P=0,Q=0,R=0;P=l;l=l+48|0;H=P+24|0;G=P+16|0;A=P+8|0;z=P;L=P+32|0;n=P+28|0;M=c[e+16>>2]|0;N=M+208|0;i=c[N>>2]|0;if((i|0)==0?(b[M+260>>1]&1)==0:0)J=0;else E=4;if((E|0)==4)if(!(c[e+152>>2]&4)){wD(e,i,c[M+228>>2]|0,c[M+244>>2]|0,c[M+212>>2]|0);J=1}else J=1;I=f+16|0;i=c[I>>2]|0;r=c[i+12>>2]|0;F=c[r+44>>2]|0;K=c[r+8>>2]|0;r=c[r+4>>2]|0;if((c[42329]|0)<(K|0)){i=K+5|0;c[42329]=i;j=c[42330]|0;if(!j)i=ww(i<<4)|0;else i=yw(j,i<<4)|0;c[42330]=i;i=c[I>>2]|0}D=(c[i+104>>2]|0)+56|0;i=i+16|0;c[D>>2]=c[i>>2];c[D+4>>2]=c[i+4>>2];c[D+8>>2]=c[i+8>>2];c[D+12>>2]=c[i+12>>2];D=c[I>>2]|0;B=+h[D+32>>3]*72.0;B=(+h[D+96>>3]+ +h[D+88>>3])/+(~~(B+(B>=0.0?.5:-.5))|0);C=+h[D+40>>3]*72.0;C=+h[D+80>>3]/+(~~(C+(C>=0.0?.5:-.5))|0);D=Zy(e,f)|0;c[L>>2]=0;i=d[(c[I>>2]|0)+117>>0]|0;do if(!(i&1)){if(i&2|0){s=GA(f,0,91300)|0;BD(e,s);DD(e,GA(f,0,91308)|0);j=0;i=1;break}if(i&8|0){s=GA(f,0,91316)|0;BD(e,s);DD(e,GA(f,0,91324)|0);j=0;i=1;break}if(i&4|0){s=GA(f,0,91332)|0;BD(e,s);DD(e,GA(f,0,91340)|0);j=0;i=1;break}if(!(D&1))if(!(D&576)){j=0;i=0}else{j=_y(f)|0;i=1}else{j=_y(f)|0;if(!((xv(j,L,n)|0)<<24>>24)){DD(e,j);i=1}else{DD(e,c[L>>2]|0);i=c[L+4>>2]|0;m=DA(f,c[42217]|0,0,0)|0;k=+g[n>>2];if(!i)ED(e,122106,m,k);else ED(e,i,m,k);i=(D&2)>>>1|2}}s=$y(e,f)|0}else{s=GA(f,0,91284)|0;BD(e,s);DD(e,GA(f,0,91292)|0);j=0;i=1}while(0);m=c[(c[I>>2]|0)+8>>2]|0;if(a[m+12>>0]|0){m=c[m>>2]|0;if((a[m>>0]|0)==99){m=(xJ(m,90553)|0)==0;E=33}else u=1}else{m=1;E=33}if((E|0)==33){m=m^1;if((r|0)!=0|i<<24>>24==0|m)u=m;else{BD(e,122171);r=1;u=0}}v=(K|0)<3;w=(D&512|0)!=0;y=(D&8|0)==0;x=(D&64|0)==0;p=(D&1024|0)==0;q=(D&2130706444|0)==0;t=0;while(1){if((t|0)>=(r|0))break;n=O(t,K)|0;o=c[42330]|0;m=0;while(1){if((m|0)>=(K|0))break;R=m+n|0;k=+h[F+(R<<4)+8>>3];Q=c[I>>2]|0;h[o+(m<<4)>>3]=+h[Q+16>>3]+ +h[F+(R<<4)>>3]*B;h[o+(m<<4)+8>>3]=+h[Q+24>>3]+k*C;m=m+1|0}do if(v){if(w&(t|0)==0?(WJ(j,58)|0)!=0:0)if((_t(e,o,j)|0)>1){c[z>>2]=Dn(f)|0;_l(3,91348,z)|0;i=0}else i=0;GD(e,c[42330]|0,K,i&255);if(!y)az(e,f)}else{if(!x){if((t|0)==0?(cu(e,o,j,1)|0)>1:0){c[A>>2]=Dn(f)|0;_l(3,91348,A)|0}HD(e,c[42330]|0,K,0);break}if(!p){BD(e,122171);HD(e,c[42330]|0,K,i&255);BD(e,s);KD(e,(c[42330]|0)+32|0,2);break}i=i&255;if(q){HD(e,o,K,i);break}else{yy(e,o,K,D,i);break}}while(0);t=t+1|0;i=0}m=c[(c[I>>2]|0)+8>>2]|0;if(!(a[m+12>>0]|0)){m=Im(f,93847)|0;if(m|0?a[m>>0]|0:0){o=m;E=65}}else{m=c[m>>2]|0;if((a[m>>0]|0)==99?(xJ(m,90553)|0)==0:0){m=Im(f,90560)|0;if(m|0?a[m>>0]|0:0){o=m;E=65}}else{o=m;E=65}}if((E|0)==65){n=c[42330]|0;m=0;while(1){if((m|0)>=(K|0))break;k=+h[F+(m<<4)+8>>3];R=c[I>>2]|0;h[n+(m<<4)>>3]=+h[R+16>>3]+ +h[F+(m<<4)>>3]*B;h[n+(m<<4)+8>>3]=+h[R+24>>3]+k*C;m=m+1|0}m=i&255;do if(!(u|i<<24>>24==0)){if(v){if(w&(t|0)==0?(WJ(j,58)|0)!=0:0)if((_t(e,n,j)|0)>1){c[G>>2]=Dn(f)|0;_l(3,91348,G)|0;i=0}else i=0;GD(e,c[42330]|0,K,i&255);if(y)break;az(e,f);break}if(x)if(!(D&12)){HD(e,n,K,m);break}else{yy(e,n,K,D,m);break}else{if((cu(e,n,j,1)|0)>1){c[H>>2]=Dn(f)|0;_l(3,91348,H)|0}HD(e,c[42330]|0,K,0);break}}while(0);R=c[42330]|0;MD(e,o,R,K,i,FA(f,c[42210]|0,122100)|0)}_I(c[L>>2]|0);pw(e,10,c[(c[I>>2]|0)+104>>2]|0);if(J){if(c[e+152>>2]&4|0)wD(e,c[N>>2]|0,c[M+228>>2]|0,c[M+244>>2]|0,c[M+212>>2]|0);xD(e)}l=P;return}function Zy(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0;h=l;l=l+16|0;f=h;e=dz(d,f)|0;if(e|0)FD(b,e);e=c[42216]|0;if((e|0?(g=Jm(d,e)|0,g|0):0)?a[g>>0]|0:0)OD(b,+EA(d,c[42216]|0,1.0,0.0));l=h;return c[f>>2]|0}function _y(a){a=a|0;return cz(a,119592)|0}function $y(b,d){b=b|0;d=d|0;d=GA(d,c[42192]|0,174181)|0;d=a[d>>0]|0?d:122106;BD(b,d);return d|0}function az(a,b){a=a|0;b=b|0;var d=0,e=0,f=0.0,g=0,i=0.0,j=0,k=0,m=0;d=l;l=l+96|0;j=d+80|0;k=d+64|0;e=d+32|0;m=d+16|0;g=d;b=c[b+16>>2]|0;f=+h[b+80>>3];h[m+8>>3]=f*.375;i=+h[b+96>>3];h[m>>3]=i*.6614;b=b+16|0;c[k>>2]=c[m>>2];c[k+4>>2]=c[m+4>>2];c[k+8>>2]=c[m+8>>2];c[k+12>>2]=c[m+12>>2];c[j>>2]=c[b>>2];c[j+4>>2]=c[b+4>>2];c[j+8>>2]=c[b+8>>2];c[j+12>>2]=c[b+12>>2];bz(g,k,j);c[e>>2]=c[g>>2];c[e+4>>2]=c[g+4>>2];c[e+8>>2]=c[g+8>>2];c[e+12>>2]=c[g+12>>2];g=e+8|0;b=e+24|0;h[b>>3]=+h[g>>3];h[e+16>>3]=+h[e>>3]-i*1.3228;KD(a,e,2);f=+h[g>>3]-f*.75;h[g>>3]=f;h[b>>3]=f;KD(a,e,2);l=d;return}function bz(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=+h[c+8>>3]+ +h[b+8>>3];h[a>>3]=+h[c>>3]+ +h[b>>3];h[a+8>>3]=d;return}function cz(b,d){b=b|0;d=d|0;var e=0;e=GA(b,c[42193]|0,174181)|0;if(!(a[e>>0]|0)){e=GA(b,c[42192]|0,174181)|0;return ((a[e>>0]|0)==0?d:e)|0}else return e|0;return 0}function dz(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0;e=GA(b,c[42201]|0,174181)|0;a:do if(!(a[e>>0]|0)){g=0;e=0}else{g=Du(e)|0;h=g;e=0;b:while(1){f=c[h>>2]|0;if(!f)break a;switch(a[f>>0]|0){case 102:{if(!(xJ(f,95923)|0)){h=h+4|0;e=e|1;continue b}break}case 114:{if(!(xJ(f,91360)|0)){f=h;do{j=f;f=f+4|0;i=c[f>>2]|0;c[j>>2]=i}while((i|0)!=0);j=h;e=e|4;h=j;continue b}if(!(xJ(f,91378)|0)){f=h;do{i=f;f=f+4|0;j=c[f>>2]|0;c[i>>2]=j}while((j|0)!=0);j=h;e=e|3;h=j;continue b}break}case 100:{if(!(xJ(f,91368)|0)){f=h;do{i=f;f=f+4|0;j=c[f>>2]|0;c[i>>2]=j}while((j|0)!=0);j=h;e=e|8;h=j;continue b}break}case 105:{if(!(xJ(f,119127)|0)){h=h+4|0;e=e|32;continue b}break}case 115:{if((xJ(f,91385)|0)==0?ez(b)|0:0){f=h;do{i=f;f=f+4|0;j=c[f>>2]|0;c[i>>2]=j}while((j|0)!=0);j=h;e=e|64;h=j;continue b}break}case 119:{if((xJ(f,91393)|0)==0?fz(b)|0:0){f=h;do{i=f;f=f+4|0;j=c[f>>2]|0;c[i>>2]=j}while((j|0)!=0);j=h;e=e|512;h=j;continue b}break}default:{}}h=h+4|0}}while(0);f=c[(c[(c[b+16>>2]|0)+8>>2]|0)+8>>2]|0;if(f)e=c[f+40>>2]|e;c[d>>2]=e;return g|0}function ez(a){a=a|0;var b=0.0;a=c[(c[(c[a+16>>2]|0)+8>>2]|0)+8>>2]|0;if((((a|0)!=0?(c[a+8>>2]|0)==4:0)?(b=+h[a+16>>3],((~~(b+(b>=0.0?.5:-.5))|0)%90|0|0)==0):0)?+h[a+24>>3]==0.0:0)a=+h[a+32>>3]==0.0&1;else a=0;return a|0}function fz(a){a=a|0;a=c[(c[(c[a+16>>2]|0)+8>>2]|0)+8>>2]|0;if(!a)a=0;else a=(c[a+8>>2]|0)<3&1;return a|0}function gz(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0.0,f=0.0,g=0.0,i=0.0;i=+h[c+8>>3];g=-(+h[d+8>>3]-i);f=+h[c>>3];e=+h[d>>3]-f;f=e*i+f*g;return (+h[a+8>>3]*e+ +h[a>>3]*g-f>=0.0^+h[b>>3]*g-f+ +h[b+8>>3]*e>=0.0^1)&1|0}function hz(b,d,e,f,g,i){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0.0,k=0.0,m=0,n=0,o=0,p=0,q=0.0,r=0.0,s=0.0,t=0.0,u=0.0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0;G=l;l=l+192|0;B=G+176|0;E=G+160|0;m=G+144|0;z=G+128|0;A=G+112|0;n=G+96|0;o=G+80|0;p=G+64|0;v=G+48|0;w=G+32|0;x=G+16|0;D=G;if(!d){c[E>>2]=0;c[E+4>>2]=0;c[E+8>>2]=0;c[E+12>>2]=0;m=(c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&1|0)==0;C=c[b+16>>2]|0;q=+h[C+80>>3]*.5;j=+h[C+88>>3];t=m?q:j;q=m?j:q;m=0;C=E;j=0.0;k=-q;r=t;F=E+8|0;s=0.0;t=-t}else{k=+h[d>>3];t=+h[d+8>>3];q=+h[d+16>>3];r=+h[d+24>>3];Iy(m,(q+k)*.5,(r+t)*.5);c[E>>2]=c[m>>2];c[E+4>>2]=c[m+4>>2];c[E+8>>2]=c[m+8>>2];c[E+12>>2]=c[m+12>>2];H=E+8|0;m=1;C=E;j=+h[E>>3];F=H;s=+h[H>>3]}u=(q>r?q:r)*4.0;a:do if((f|0)!=0?(y=a[f>>0]|0,y<<24>>24!=0):0){f=f+1|0;switch(y<<24>>24|0){case 99:{p=1;g=0;f=0;n=0;j=0.0;o=0;break a}case 101:{if(a[f>>0]|0){p=1;g=0;f=0;n=0;j=0.0;o=1;break a}if(!i)h[C>>3]=q;else{jz(z,i,s,u);c[E>>2]=c[z>>2];c[E+4>>2]=c[z+4>>2];c[E+8>>2]=c[z+8>>2];c[E+12>>2]=c[z+12>>2]}p=0;g=g&2;f=0;n=1;j=0.0;o=0;m=1;break a}case 115:{h[F>>3]=t;switch(a[f>>0]|0){case 0:{if(!i)h[C>>3]=j;else{jz(A,i,-u,j);c[E>>2]=c[A>>2];c[E+4>>2]=c[A+4>>2];c[E+8>>2]=c[A+8>>2];c[E+12>>2]=c[A+12>>2]}p=0;g=g&1;f=0;n=1;j=-1.5707963267948966;o=0;m=1;break a}case 101:{if(!i)h[C>>3]=q;else{jz(n,i,-u,u);c[E>>2]=c[n>>2];c[E+4>>2]=c[n+4>>2];c[E+8>>2]=c[n+8>>2];c[E+12>>2]=c[n+12>>2]}p=0;g=g&3;f=0;n=1;j=-.7853981633974483;o=0;m=1;break a}case 119:{if(!i)h[C>>3]=k;else{u=-u;jz(o,i,u,u);c[E>>2]=c[o>>2];c[E+4>>2]=c[o+4>>2];c[E+8>>2]=c[o+8>>2];c[E+12>>2]=c[o+12>>2]}p=0;g=g&9;f=0;n=1;j=-2.356194490192345;o=0;m=1;break a}default:{h[F>>3]=s;p=1;g=0;f=0;n=0;j=0.0;o=1;break a}}}case 119:{if(a[f>>0]|0){p=1;g=0;f=0;n=0;j=0.0;o=1;break a}if(!i)h[C>>3]=k;else{jz(p,i,s,-u);c[E>>2]=c[p>>2];c[E+4>>2]=c[p+4>>2];c[E+8>>2]=c[p+8>>2];c[E+12>>2]=c[p+12>>2]}p=0;g=g&8;f=0;n=1;j=3.141592653589793;o=0;m=1;break a}case 110:{h[F>>3]=r;switch(a[f>>0]|0){case 0:{if(!i)h[C>>3]=j;else{jz(v,i,u,j);c[E>>2]=c[v>>2];c[E+4>>2]=c[v+4>>2];c[E+8>>2]=c[v+8>>2];c[E+12>>2]=c[v+12>>2]}p=0;g=g&4;f=0;n=1;j=1.5707963267948966;o=0;m=1;break a}case 101:{if(!i)h[C>>3]=q;else{jz(w,i,u,u);c[E>>2]=c[w>>2];c[E+4>>2]=c[w+4>>2];c[E+8>>2]=c[w+8>>2];c[E+12>>2]=c[w+12>>2]}p=0;g=g&6;f=0;n=1;j=.7853981633974483;o=0;m=1;break a}case 119:{if(!i)h[C>>3]=k;else{jz(x,i,u,-u);c[E>>2]=c[x>>2];c[E+4>>2]=c[x+4>>2];c[E+8>>2]=c[x+8>>2];c[E+12>>2]=c[x+12>>2]}p=0;g=g&12;f=0;n=1;j=2.356194490192345;o=0;m=1;break a}default:{h[F>>3]=s;p=1;g=0;f=0;n=0;j=0.0;o=1;break a}}}case 95:{p=1;f=1;n=0;j=0.0;o=0;break a}default:{p=1;g=0;f=0;n=0;j=0.0;o=1;break a}}}else{p=1;g=0;f=0;n=0;j=0.0;o=0}while(0);H=(c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&3)*90|0;c[B>>2]=c[E>>2];c[B+4>>2]=c[E+4>>2];c[B+8>>2]=c[E+8>>2];c[B+12>>2]=c[E+12>>2];$v(D,B,H);c[E>>2]=c[D>>2];c[E+4>>2]=c[D+4>>2];c[E+8>>2]=c[D+8>>2];c[E+12>>2]=c[D+12>>2];if(!(f<<24>>24))g=kz(g,c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&3)|0;a[e+33>>0]=g;c[e+24>>2]=d;k=+h[C>>3];h[e>>3]=+(~~(k+(k>=0.0?.5:-.5))|0);k=+h[F>>3];h[e+8>>3]=+(~~(k+(k>=0.0?.5:-.5))|0);h[e+16>>3]=+lz(j,c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&3);k=+h[C>>3];j=+h[F>>3];if(k==0.0&j==0.0)g=-128;else{u=+K(+j,+k);t=u+4.71238898038469;g=~~((!(t>=6.283185307179586)?t:u+-1.5707963267948966)*40.74366543152521)&255}a[e+32>>0]=g;a[e+29>>0]=n;a[e+28>>0]=m;a[e+30>>0]=p;a[e+31>>0]=f;l=G;return o|0}function iz(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=Dn(a)|0;c[e+4>>2]=b;_l(0,91463,e)|0;l=d;return}function jz(a,b,d,e){a=a|0;b=b|0;d=+d;e=+e;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;p=l;l=l+128|0;g=p+112|0;j=p+48|0;k=p+16|0;m=p+32|0;n=p;o=c[b>>2]|0;i=c[(c[(ro(o)|0)+16>>2]|0)+116>>2]&3;h[k>>3]=e;h[k+8>>3]=d;f=(i|0)!=0;if(f){c[g>>2]=c[k>>2];c[g+4>>2]=c[k+4>>2];c[g+8>>2]=c[k+8>>2];c[g+12>>2]=c[k+12>>2];$v(m,g,i*90|0);c[k>>2]=c[m>>2];c[k+4>>2]=c[m+4>>2];c[k+8>>2]=c[m+8>>2];c[k+12>>2]=c[m+12>>2]}m=j+48|0;q=j+32|0;c[j>>2]=0;c[j+4>>2]=0;c[j+8>>2]=0;c[j+12>>2]=0;c[j+16>>2]=0;c[j+20>>2]=0;c[j+24>>2]=0;c[j+28>>2]=0;c[q>>2]=c[k>>2];c[q+4>>2]=c[k+4>>2];c[q+8>>2]=c[k+8>>2];c[q+12>>2]=c[k+12>>2];c[m>>2]=c[k>>2];c[m+4>>2]=c[k+4>>2];c[m+8>>2]=c[k+8>>2];c[m+12>>2]=c[k+12>>2];Fz(b,c[(c[(c[(c[o+16>>2]|0)+8>>2]|0)+4>>2]|0)+12>>2]|0,j,1);if(f){c[g>>2]=c[j>>2];c[g+4>>2]=c[j+4>>2];c[g+8>>2]=c[j+8>>2];c[g+12>>2]=c[j+12>>2];aw(n,g,i*90|0);c[j>>2]=c[n>>2];c[j+4>>2]=c[n+4>>2];c[j+8>>2]=c[n+8>>2];c[j+12>>2]=c[n+12>>2]};c[a>>2]=c[j>>2];c[a+4>>2]=c[j+4>>2];c[a+8>>2]=c[j+8>>2];c[a+12>>2]=c[j+12>>2];l=p;return}function kz(a,b){a=a|0;b=b|0;a:do switch(b|0){case 3:switch(a|0){case 4:{a=2;break a}case 1:{a=8;break a}case 8:{a=1;break a}case 2:{a=4;break a}default:break a}case 2:switch(a|0){case 4:{a=1;break a}case 1:{a=4;break a}default:break a}case 1:switch(a|0){case 4:{a=2;break a}case 1:{a=8;break a}case 8:{a=4;break a}case 2:{a=1;break a}default:break a}default:{}}while(0);return a|0}function lz(a,b){a=+a;b=b|0;switch(b|0){case 3:{if(!(a==3.141592653589793))if(!(a==2.356194490192345))if(!(a==1.5707963267948966))if(!(a==0.0))if(!(a==-.7853981633974483)){if(a==-1.5707963267948966)a=3.141592653589793}else a=2.356194490192345;else a=1.5707963267948966;else a=0.0;else a=-.7853981633974483;else a=-1.5707963267948966;break}case 2:{a=-a;break}case 1:{a=a+-1.5707963267948966;break}default:{}}return +a}function mz(a,b){a=a|0;b=b|0;var d=0.0,e=0,f=0.0,g=0.0,i=0,j=0,k=0;e=l;l=l+32|0;k=e+16|0;i=e;a=c[a>>2]|0;j=(c[(c[(ro(a)|0)+16>>2]|0)+116>>2]&3)*90|0;c[k>>2]=c[b>>2];c[k+4>>2]=c[b+4>>2];c[k+8>>2]=c[b+8>>2];c[k+12>>2]=c[b+12>>2];aw(i,k,j);d=+h[i>>3];g=+h[i+8>>3];a=c[a+16>>2]|0;f=+h[a+80>>3]*.5;if(!(!(g>=-f)|!(g<=f))?d>=-+h[a+88>>3]:0)a=d<=+h[a+96>>3]&1;else a=0;l=e;return a|0}function nz(a,d){a=a|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0.0;n=l;l=l+32|0;m=n;i=c[a+16>>2]|0;j=i+208|0;g=c[j>>2]|0;if(!g)k=(b[i+260>>1]&1)!=0;else k=1;e=d+16|0;d=c[e>>2]|0;f=c[d+12>>2]|0;if(f|0){if(k?(c[a+152>>2]&4|0)==0:0){wD(a,g,c[i+228>>2]|0,c[i+244>>2]|0,c[i+212>>2]|0);d=c[e>>2]|0}g=c[a+36>>2]|0;p=+h[d+24>>3]+ +(c[f+8>>2]|0);o=c[f>>2]|0;h[m>>3]=+h[d+16>>3]+ +(c[f+4>>2]|0);h[m+8>>3]=p;c[m+16>>2]=o;zL(g,91494,m)|0;g=c[e>>2]|0;m=(c[g+104>>2]|0)+56|0;g=g+16|0;c[m>>2]=c[g>>2];c[m+4>>2]=c[g+4>>2];c[m+8>>2]=c[g+8>>2];c[m+12>>2]=c[g+12>>2];pw(a,10,c[(c[e>>2]|0)+104>>2]|0);if(k){if(c[a+152>>2]&4|0)wD(a,c[j>>2]|0,c[i+228>>2]|0,c[i+244>>2]|0,c[i+212>>2]|0);xD(a)}}l=n;return}function oz(a){a=a|0;Ly(c[(c[a+16>>2]|0)+12>>2]|0);return}function pz(b,e,f,g){b=b|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,m=0;m=l;l=l+64|0;k=m+40|0;h=m;if(!(a[f>>0]|0)){h=4144;g=b+40|0;do{c[b>>2]=c[h>>2];b=b+4|0;h=h+4|0}while((b|0)<(g|0))}else{g=(g|0)==0?91400:g;i=c[(c[e+16>>2]|0)+12>>2]|0;j=vz(i,f)|0;if(!j){if(hz(e,i+16|0,h,f,15,0)|0)iz(e,f)}else if(hz(e,j+16|0,h,g,d[j+65>>0]|0,0)|0){c[k>>2]=Dn(e)|0;c[k+4>>2]=f;c[k+8>>2]=g;_l(0,91402,k)|0}g=b+40|0;do{c[b>>2]=c[h>>2];b=b+4|0;h=h+4|0}while((b|0)<(g|0))}l=m;return}function qz(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0,g=0,i=0,j=0.0,k=0,m=0,n=0.0;k=l;l=l+32|0;m=k+16|0;i=k;f=c[a+4>>2]|0;a=c[a>>2]|0;g=(c[(c[(ro(a)|0)+16>>2]|0)+116>>2]&3)*90|0;c[m>>2]=c[b>>2];c[m+4>>2]=c[b+4>>2];c[m+8>>2]=c[b+8>>2];c[m+12>>2]=c[b+12>>2];aw(i,m,g);c[b>>2]=c[i>>2];c[b+4>>2]=c[i+4>>2];c[b+8>>2]=c[i+8>>2];c[b+12>>2]=c[i+12>>2];if(!f){f=c[(c[a+16>>2]|0)+12>>2]|0;g=f+16|0;a=f+24|0;i=f+32|0;f=f+40|0}else{g=f;a=f+8|0;i=f+16|0;f=f+24|0}e=+h[a>>3];d=+h[f>>3];n=+h[b>>3];if((+h[g>>3]<=n?n<=+h[i>>3]:0)?(j=+h[b+8>>3],e<=j):0)a=j<=d&1;else a=0;l=k;return a|0}function rz(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0.0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0.0,t=0,u=0,v=0.0;u=l;l=l+80|0;r=u+64|0;q=u+32|0;t=u;a:do if(!(a[d+28>>0]|0))e=0;else{i=+h[d>>3];p=b+16|0;m=c[(c[p>>2]|0)+12>>2]|0;k=m+48|0;m=m+56|0;d=0;while(1){if((d|0)>=(c[k>>2]|0))break a;n=(c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&1|0)==0;o=c[(c[m>>2]|0)+(d<<2)>>2]|0;j=+(~~+h[(n?o+16|0:o+24|0)>>3]|0);if(i>=j?(s=+(~~+h[(n?o+32|0:o+40|0)>>3]|0),i<=s):0)break;d=d+1|0}if(!(c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&1)){t=c[p>>2]|0;v=+h[t+16>>3];h[f>>3]=v+j;j=+h[t+24>>3];i=+h[t+80>>3];h[f+8>>3]=j-i*.5;h[f+16>>3]=v+s}else{o=(c[(c[m>>2]|0)+(d<<2)>>2]|0)+16|0;b=(c[p>>2]|0)+16|0;c[q>>2]=c[o>>2];c[q+4>>2]=c[o+4>>2];c[q+8>>2]=c[o+8>>2];c[q+12>>2]=c[o+12>>2];c[q+16>>2]=c[o+16>>2];c[q+20>>2]=c[o+20>>2];c[q+24>>2]=c[o+24>>2];c[q+28>>2]=c[o+28>>2];c[r>>2]=c[b>>2];c[r+4>>2]=c[b+4>>2];c[r+8>>2]=c[b+8>>2];c[r+12>>2]=c[b+12>>2];bw(t,q,r);c[f>>2]=c[t>>2];c[f+4>>2]=c[t+4>>2];c[f+8>>2]=c[t+8>>2];c[f+12>>2]=c[t+12>>2];c[f+16>>2]=c[t+16>>2];c[f+20>>2]=c[t+20>>2];c[f+24>>2]=c[t+24>>2];c[f+28>>2]=c[t+28>>2];t=c[p>>2]|0;i=+h[t+80>>3];j=+h[t+24>>3]}h[f+24>>3]=i*.5+j;c[g>>2]=1}while(0);l=u;return e|0}function sz(d,e){d=d|0;e=e|0;var f=0,i=0,j=0,k=0.0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0.0;w=l;l=l+144|0;n=w+96|0;p=w+64|0;r=w;s=w+128|0;t=c[d+16>>2]|0;u=t+208|0;f=c[u>>2]|0;if(!f)v=(b[t+260>>1]&1)!=0;else v=1;m=e+16|0;q=c[m>>2]|0;o=c[q+12>>2]|0;j=o+16|0;c[p>>2]=c[j>>2];c[p+4>>2]=c[j+4>>2];c[p+8>>2]=c[j+8>>2];c[p+12>>2]=c[j+12>>2];c[p+16>>2]=c[j+16>>2];c[p+20>>2]=c[j+20>>2];c[p+24>>2]=c[j+24>>2];c[p+28>>2]=c[j+28>>2];x=+h[q+16>>3];h[p>>3]=+h[p>>3]+x;k=+h[q+24>>3];q=p+8|0;h[q>>3]=+h[q>>3]+k;q=p+16|0;h[q>>3]=+h[q>>3]+x;j=p+24|0;h[j>>3]=+h[j>>3]+k;if(v?(c[d+152>>2]&4|0)==0:0)wD(d,f,c[t+228>>2]|0,c[t+244>>2]|0,c[t+212>>2]|0);f=Zy(d,e)|0;$y(d,e)|0;c[s>>2]=0;if(!(f&1))i=0;else{i=_y(e)|0;if(!((xv(i,s,n)|0)<<24>>24)){DD(d,i);i=1}else{DD(d,c[s>>2]|0);i=c[s+4>>2]|0;j=DA(e,c[42217]|0,0,0)|0;k=+g[n>>2];if(!i)ED(d,122106,j,k);else ED(d,i,j,k);i=f>>>1&1|2}}j=c[c[(c[m>>2]|0)+8>>2]>>2]|0;if((a[j>>0]|0)==77){m=(xJ(j,91271)|0)==0;f=m?f|4:f}if(!(f&2130706444)){c[n>>2]=c[p>>2];c[n+4>>2]=c[p+4>>2];c[n+8>>2]=c[p+8>>2];c[n+12>>2]=c[p+12>>2];c[n+16>>2]=c[p+16>>2];c[n+20>>2]=c[p+20>>2];c[n+24>>2]=c[p+24>>2];c[n+28>>2]=c[p+28>>2];ID(d,n,i)}else{c[r>>2]=c[p>>2];c[r+4>>2]=c[p+4>>2];c[r+8>>2]=c[p+8>>2];c[r+12>>2]=c[p+12>>2];p=r+32|0;c[p>>2]=c[q>>2];c[p+4>>2]=c[q+4>>2];c[p+8>>2]=c[q+8>>2];c[p+12>>2]=c[q+12>>2];h[r+16>>3]=+h[p>>3];h[r+24>>3]=+h[r+8>>3];h[r+48>>3]=+h[r>>3];h[r+56>>3]=+h[r+40>>3];yy(d,r,4,f,i)}tz(d,e,o);_I(c[s>>2]|0);if(v){if(c[d+152>>2]&4|0)wD(d,c[u>>2]|0,c[t+228>>2]|0,c[t+244>>2]|0,c[t+212>>2]|0);xD(d)}l=w;return}function tz(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+144|0;p=u+128|0;o=u+112|0;q=u+16|0;r=u;g=u+96|0;i=u+80|0;s=u+64|0;t=u+48|0;j=e+52|0;f=c[j>>2]|0;if(!f)f=d+16|0;else{n=f+56|0;m=e+16|0;f=e+32|0;c[o>>2]=c[m>>2];c[o+4>>2]=c[m+4>>2];c[o+8>>2]=c[m+8>>2];c[o+12>>2]=c[m+12>>2];c[p>>2]=c[f>>2];c[p+4>>2]=c[f+4>>2];c[p+8>>2]=c[f+8>>2];c[p+12>>2]=c[f+12>>2];uz(g,o,p);f=d+16|0;m=(c[f>>2]|0)+16|0;c[o>>2]=c[g>>2];c[o+4>>2]=c[g+4>>2];c[o+8>>2]=c[g+8>>2];c[o+12>>2]=c[g+12>>2];c[p>>2]=c[m>>2];c[p+4>>2]=c[m+4>>2];c[p+8>>2]=c[m+8>>2];c[p+12>>2]=c[m+12>>2];bz(i,o,p);c[n>>2]=c[i>>2];c[n+4>>2]=c[i+4>>2];c[n+8>>2]=c[i+8>>2];c[n+12>>2]=c[i+12>>2];pw(b,10,c[j>>2]|0);$y(b,d)|0}k=(c[f>>2]|0)+16|0;c[r>>2]=c[k>>2];c[r+4>>2]=c[k+4>>2];c[r+8>>2]=c[k+8>>2];c[r+12>>2]=c[k+12>>2];k=e+48|0;m=e+64|0;n=q+16|0;j=e+56|0;e=q+16|0;i=0;while(1){if((i|0)>=(c[k>>2]|0))break;if((i|0)>0){f=(c[j>>2]|0)+(i<<2)|0;g=c[f>>2]|0;if(!(a[m>>0]|0)){g=g+32|0;c[n>>2]=c[g>>2];c[n+4>>2]=c[g+4>>2];c[n+8>>2]=c[g+8>>2];c[n+12>>2]=c[g+12>>2];h[q>>3]=+h[(c[f>>2]|0)+16>>3];f=n;g=0}else{g=g+16|0;c[q>>2]=c[g>>2];c[q+4>>2]=c[g+4>>2];c[q+8>>2]=c[g+8>>2];c[q+12>>2]=c[g+12>>2];h[e>>3]=+h[q>>3];f=(c[f>>2]|0)+32|0;g=1}h[q+(g<<4)+8>>3]=+h[f+8>>3];c[o>>2]=c[q>>2];c[o+4>>2]=c[q+4>>2];c[o+8>>2]=c[q+8>>2];c[o+12>>2]=c[q+12>>2];c[p>>2]=c[r>>2];c[p+4>>2]=c[r+4>>2];c[p+8>>2]=c[r+8>>2];c[p+12>>2]=c[r+12>>2];bz(s,o,p);c[q>>2]=c[s>>2];c[q+4>>2]=c[s+4>>2];c[q+8>>2]=c[s+8>>2];c[q+12>>2]=c[s+12>>2];c[o>>2]=c[n>>2];c[o+4>>2]=c[n+4>>2];c[o+8>>2]=c[n+8>>2];c[o+12>>2]=c[n+12>>2];c[p>>2]=c[r>>2];c[p+4>>2]=c[r+4>>2];c[p+8>>2]=c[r+8>>2];c[p+12>>2]=c[r+12>>2];bz(t,o,p);c[n>>2]=c[t>>2];c[n+4>>2]=c[t+4>>2];c[n+8>>2]=c[t+8>>2];c[n+12>>2]=c[t+12>>2];KD(b,q,2)}tz(b,d,c[(c[j>>2]|0)+(i<<2)>>2]|0);i=i+1|0}l=u;return}function uz(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=(+h[c+8>>3]+ +h[b+8>>3])*.5;h[a>>3]=(+h[c>>3]+ +h[b>>3])*.5;h[a+8>>3]=d;return}function vz(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;e=c[b+60>>2]|0;if(!(((e|0)!=0?(a[e>>0]|0)==(a[d>>0]|0):0)?(xJ(e,d)|0)==0:0))f=4;a:do if((f|0)==4){g=b+56|0;f=c[b+48>>2]|0;e=0;while(1){if((e|0)>=(f|0)){b=0;break a}b=vz(c[(c[g>>2]|0)+(e<<2)>>2]|0,d)|0;if(!b)e=e+1|0;else break}}while(0);return b|0}function wz(a,b){a=a|0;b=b|0;var d=0;d=b+8|0;h[d>>3]=+h[d>>3]*1.375;c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];return}function xz(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0.0,g=0.0,i=0.0,j=0.0,k=0.0,l=0.0,m=0.0;k=+h[b>>3];f=k*.5;m=+h[b+8>>3];i=m*.5;h[a>>3]=f;e=m*.40909090909090906;h[a+8>>3]=e;h[a+16>>3]=f;g=m*.4592530909090909;h[a+24>>3]=g;j=k*.275892;h[a+32>>3]=j;h[a+40>>3]=i;h[a+48>>3]=0.0;h[a+56>>3]=i;k=k*-.275892;h[a+64>>3]=k;h[a+72>>3]=i;l=-f;h[a+80>>3]=l;h[a+88>>3]=g;d=a+96|0;h[d>>3]=l;h[a+104>>3]=e;b=a+112|0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];b=a+128|0;h[b>>3]=l;h[a+136>>3]=m*-.40909090909090906;d=a+144|0;c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];h[a+160>>3]=l;g=-g;h[a+168>>3]=g;h[a+176>>3]=k;i=-i;h[a+184>>3]=i;h[a+192>>3]=0.0;h[a+200>>3]=i;h[a+208>>3]=j;h[a+216>>3]=i;h[a+224>>3]=f;h[a+232>>3]=g;d=a+240|0;h[d>>3]=f;h[a+248>>3]=-e;b=a+256|0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];b=a+288|0;d=a+272|0;c[d>>2]=c[a>>2];c[d+4>>2]=c[a+4>>2];c[d+8>>2]=c[a+8>>2];c[d+12>>2]=c[a+12>>2];c[b>>2]=c[a>>2];c[b+4>>2]=c[a+4>>2];c[b+8>>2]=c[a+8>>2];c[b+12>>2]=c[a+12>>2];return}function yz(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0.0,g=0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0.0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0;x=l;l=l+144|0;u=x+112|0;t=x+96|0;v=x+80|0;s=x+64|0;w=x+32|0;q=x+16|0;r=x;g=x+48|0;do if(a){j=c[a+4>>2]|0;k=c[a>>2]|0;o=(c[(c[(ro(k)|0)+16>>2]|0)+116>>2]&3)*90|0;c[u>>2]=c[b>>2];c[u+4>>2]=c[b+4>>2];c[u+8>>2]=c[b+8>>2];c[u+12>>2]=c[b+12>>2];aw(g,u,o);c[w>>2]=c[g>>2];c[w+4>>2]=c[g+4>>2];c[w+8>>2]=c[g+8>>2];c[w+12>>2]=c[g+12>>2];if(j|0){d=+h[w>>3];if(!(+h[j>>3]<=d)){a=0;break}if(!(d<=+h[j+16>>3])){a=0;break}d=+h[w+8>>3];if(!(+h[j+8>>3]<=d)){a=0;break}a=d<=+h[j+24>>3];break}if((k|0)==(c[42336]|0)){d=+h[20903];e=+h[20904];i=+h[20905]}else{a=k+16|0;b=c[(c[a>>2]|0)+12>>2]|0;c[42337]=b;c[42338]=c[b+44>>2];c[42339]=c[b+8>>2];if(!(c[b+40>>2]&2048)){n=(c[(c[(ro(k)|0)+16>>2]|0)+116>>2]&1|0)==0;o=c[a>>2]|0;h[(n?167248:167256)>>3]=+h[o+96>>3]+ +h[o+88>>3];h[(n?167256:167248)>>3]=+h[o+80>>3];i=+h[o+32>>3]*72.0;f=+h[o+40>>3]*72.0;f=+(~~(f+(f>=0.0?.5:-.5))|0);i=+(~~(i+(i>=0.0?.5:-.5))|0)}else{aB(u,b);i=+h[u+16>>3]-+h[u>>3];f=+h[u+24>>3]-+h[u+8>>3];o=(c[(c[(ro(k)|0)+16>>2]|0)+116>>2]&1|0)==0;h[(o?167248:167256)>>3]=i;h[(o?167256:167248)>>3]=f}d=+h[20906];if(d==0.0){h[20906]=1.0;d=1.0}e=+h[20907];if(e==0.0){h[20907]=1.0;e=1.0}d=i/d;h[20903]=d;e=f/e;h[20904]=e;i=i*.5;h[20905]=i;h[20908]=f*.5;o=O((c[(c[42337]|0)+4>>2]|0)+-1|0,c[42339]|0)|0;c[42340]=(o|0)>0?o:0;c[42336]=k}f=+h[w>>3]*d;h[w>>3]=f;o=w+8|0;d=+h[o>>3]*e;h[o>>3]=d;if(!(+B(+f)>i)?(e=+B(+d),p=+h[20908],!(e>p)):0){o=c[42339]|0;if((o|0)<3){a=+QJ(f/i,d/p)<1.0;break}b=(c[42341]|0)%(o|0)|0;a=(b+1|0)%(o|0)|0;k=c[42338]|0;m=c[42340]|0;n=k+(m+b<<4)|0;c[q>>2]=c[n>>2];c[q+4>>2]=c[n+4>>2];c[q+8>>2]=c[n+8>>2];c[q+12>>2]=c[n+12>>2];n=k+(m+a<<4)|0;c[r>>2]=c[n>>2];c[r+4>>2]=c[n+4>>2];c[r+8>>2]=c[n+8>>2];c[r+12>>2]=c[n+12>>2];c[s>>2]=c[w>>2];c[s+4>>2]=c[w+4>>2];c[s+8>>2]=c[w+8>>2];c[s+12>>2]=c[w+12>>2];c[v>>2]=c[41818];c[v+4>>2]=c[41819];c[v+8>>2]=c[41820];c[v+12>>2]=c[41821];c[t>>2]=c[q>>2];c[t+4>>2]=c[q+4>>2];c[t+8>>2]=c[q+8>>2];c[t+12>>2]=c[q+12>>2];c[u>>2]=c[n>>2];c[u+4>>2]=c[n+4>>2];c[u+8>>2]=c[n+8>>2];c[u+12>>2]=c[n+12>>2];if(gz(s,v,t,u)|0){c[s>>2]=c[w>>2];c[s+4>>2]=c[w+4>>2];c[s+8>>2]=c[w+8>>2];c[s+12>>2]=c[w+12>>2];c[v>>2]=c[q>>2];c[v+4>>2]=c[q+4>>2];c[v+8>>2]=c[q+8>>2];c[v+12>>2]=c[q+12>>2];c[t>>2]=c[r>>2];c[t+4>>2]=c[r+4>>2];c[t+8>>2]=c[r+8>>2];c[t+12>>2]=c[r+12>>2];c[u>>2]=c[41818];c[u+4>>2]=c[41819];c[u+8>>2]=c[41820];c[u+12>>2]=c[41821];n=(gz(s,v,t,u)|0)!=0;if(n?(c[s>>2]=c[w>>2],c[s+4>>2]=c[w+4>>2],c[s+8>>2]=c[w+8>>2],c[s+12>>2]=c[w+12>>2],c[v>>2]=c[r>>2],c[v+4>>2]=c[r+4>>2],c[v+8>>2]=c[r+8>>2],c[v+12>>2]=c[r+12>>2],c[t>>2]=c[41818],c[t+4>>2]=c[41819],c[t+8>>2]=c[41820],c[t+12>>2]=c[41821],c[u>>2]=c[q>>2],c[u+4>>2]=c[q+4>>2],c[u+8>>2]=c[q+8>>2],c[u+12>>2]=c[q+12>>2],(gz(s,v,t,u)|0)!=0):0){a=1;break}else{j=b;b=1}while(1){if((b|0)>=(o|0)){b=31;break}if(n){g=a;a=(a+1|0)%(o|0)|0}else{g=(j+-1+o|0)%(o|0)|0;a=j}q=k+(m+g<<4)|0;r=k+(m+a<<4)|0;c[s>>2]=c[w>>2];c[s+4>>2]=c[w+4>>2];c[s+8>>2]=c[w+8>>2];c[s+12>>2]=c[w+12>>2];c[v>>2]=c[41818];c[v+4>>2]=c[41819];c[v+8>>2]=c[41820];c[v+12>>2]=c[41821];c[t>>2]=c[q>>2];c[t+4>>2]=c[q+4>>2];c[t+8>>2]=c[q+8>>2];c[t+12>>2]=c[q+12>>2];c[u>>2]=c[r>>2];c[u+4>>2]=c[r+4>>2];c[u+8>>2]=c[r+8>>2];c[u+12>>2]=c[r+12>>2];if(!(gz(s,v,t,u)|0)){b=30;break}else{j=g;b=b+1|0}}if((b|0)==30){c[42341]=g;a=0;break}else if((b|0)==31){c[42341]=j;a=1;break}}else a=0}else a=0}else{c[42336]=0;a=0}while(0);l=x;return a&1|0}function zz(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0,g=0.0,i=0,j=0,k=0;j=l;l=l+32|0;f=j+16|0;i=j;if(a){a=c[a>>2]|0;k=(c[(c[(ro(a)|0)+16>>2]|0)+116>>2]&3)*90|0;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];aw(i,f,k);g=+h[i>>3];e=+h[i+8>>3];if((a|0)==(c[42344]|0))d=+h[20911];else{i=c[(c[a+16>>2]|0)+12>>2]|0;k=(c[i+4>>2]<<1)+-2|0;d=+h[(c[i+44>>2]|0)+((((k|0)>0?k:0)|1)<<4)>>3];h[20911]=d;c[42344]=a}if(+B(+g)>d|+B(+e)>d)a=0;else a=+QJ(g,e)<=d&1}else{c[42344]=0;a=0}l=j;return a|0}function Az(e,f){e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0.0,v=0,w=0;t=l;l=l+16|0;j=t;r=c[e+16>>2]|0;s=r+208|0;g=c[s>>2]|0;if((g|0)==0?(b[r+260>>1]&1)==0:0)q=0;else if(!(c[e+152>>2]&4)){wD(e,g,c[r+228>>2]|0,c[r+244>>2]|0,c[r+212>>2]|0);q=1}else q=1;n=f+16|0;k=c[(c[n>>2]|0)+12>>2]|0;o=c[k+44>>2]|0;p=c[k+8>>2]|0;k=c[k+4>>2]|0;if((c[42342]|0)<(p|0)){g=p+2|0;c[42342]=g;i=c[42343]|0;if(!i)g=ww(g<<4)|0;else g=yw(i,g<<4)|0;c[42343]=g}dz(f,j)|0;if(!(c[j>>2]&32))FD(e,21040);else FD(e,21036);g=c[42216]|0;if(g|0)OD(e,+EA(f,g,1.0,0.0));g=d[(c[n>>2]|0)+117>>0]|0;do if(!(g&1)){if(g&2|0){BD(e,GA(f,0,91300)|0);g=GA(f,0,91308)|0;DD(e,g);break}if(g&8|0){BD(e,GA(f,0,91316)|0);g=GA(f,0,91324)|0;DD(e,g);break}if(!(g&4)){g=cz(f,122106)|0;DD(e,g);$y(e,f)|0;break}else{BD(e,GA(f,0,91332)|0);g=GA(f,0,91340)|0;DD(e,g);break}}else{BD(e,GA(f,0,91284)|0);g=GA(f,0,91292)|0;DD(e,g)}while(0);if(!k)if(!(a[g>>0]|0))i=1;else{BD(e,g);i=1}else i=k;j=1;f=0;while(1){if((f|0)>=(i|0))break;k=O(f,p)|0;m=c[42343]|0;g=0;while(1){if((g|0)>=(p|0))break;w=g+k|0;u=+h[o+(w<<4)+8>>3];v=c[n>>2]|0;h[m+(g<<4)>>3]=+h[v+16>>3]+ +h[o+(w<<4)>>3];h[m+(g<<4)+8>>3]=+h[v+24>>3]+u;g=g+1|0}GD(e,m,p,j);j=0;f=f+1|0}if(q){if(c[e+152>>2]&4|0)wD(e,c[s>>2]|0,c[r+228>>2]|0,c[r+244>>2]|0,c[r+212>>2]|0);xD(e)}l=t;return}function Bz(a,b,e,f){a=a|0;b=b|0;e=e|0;f=f|0;var g=0,h=0;g=l;l=l+48|0;h=g;e=Cz(b,e,f)|0;c[h+36>>2]=c[f+36>>2];hz(b,c[f+24>>2]|0,h,e,d[f+33>>0]|0,0)|0;b=h;e=a+40|0;do{c[a>>2]=c[b>>2];a=a+4|0;b=b+4|0}while((a|0)<(e|0));l=g;return}function Cz(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0.0,j=0.0,k=0,m=0.0,n=0.0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0.0,B=0.0,C=0;z=l;l=l+32|0;y=z;g=z+24|0;k=z+16|0;x=c[(c[(c[(ro(b)|0)+60>>2]|0)+16>>2]|0)+116>>2]&3;f=b+16|0;w=(c[f>>2]|0)+16|0;c[y>>2]=c[w>>2];c[y+4>>2]=c[w+4>>2];c[y+8>>2]=c[w+8>>2];c[y+12>>2]=c[w+12>>2];Dz(g,y,x);w=(c[d+16>>2]|0)+16|0;c[y>>2]=c[w>>2];c[y+4>>2]=c[w+4>>2];c[y+8>>2]=c[w+8>>2];c[y+12>>2]=c[w+12>>2];Dz(k,y,x);x=a[e+33>>0]|0;y=x&255;a:do switch(x<<24>>24){case 0:case 15:{d=0;break}default:{d=c[e+24>>2]|0;if(!d){x=(c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&1|0)==0;w=c[f>>2]|0;B=+h[w+80>>3]*.5;A=-B;m=+h[w+88>>3];j=-m;n=x?j:A;i=x?m:B;m=x?B:m;j=x?A:j}else{n=+h[d>>3];i=+h[d+16>>3];m=+h[d+24>>3];j=+h[d+8>>3]}x=c[g>>2]|0;v=c[g+4>>2]|0;w=c[k>>2]|0;s=c[k+4>>2]|0;t=~~j;u=~~((i+n)*.5);r=~~i;q=~~((m+j)*.5);p=~~m;o=~~n;g=0;k=0;d=0;e=0;b=0;while(1){if((k|0)==4)break a;if(1<<k&y){switch(k|0){case 0:{e=u;b=t;break}case 1:{e=r;b=q;break}case 2:{e=u;b=p;break}case 3:{e=o;b=q;break}default:{}}e=x+e|0;b=v+b|0;f=e-w|0;C=b-s|0;f=(O(C,C)|0)+(O(f,f)|0)|0;if((d|0)==0|(f|0)<(g|0))d=c[21048+(k<<2)>>2]|0;else f=g}else f=g;g=f;k=k+1|0}}}while(0);l=z;return d|0}function Dz(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0.0;switch(d|0){case 0:{f=+h[b>>3];e=+h[b+8>>3];break}case 2:{f=+h[b>>3];e=-+h[b+8>>3];break}case 1:{f=-+h[b+8>>3];e=+h[b>>3];break}case 3:{f=+h[b+8>>3];e=+h[b>>3];break}default:{f=0.0;e=0.0}}c[a>>2]=~~(f+(f>=0.0?.5:-.5));c[a+4>>2]=~~(e+(e>=0.0?.5:-.5));return}function Ez(){var a=0,b=0,d=0;a=l;l=l+32|0;b=a+16|0;d=a;c[d>>2]=0;c[d+4>>2]=0;c[d+8>>2]=0;c[d+12>>2]=0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];yz(0,b)|0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];zz(0,b)|0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];Wy(0,b)|0;l=a;return}function Fz(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0.0,q=0,r=0.0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0;z=l;l=l+192|0;s=z+176|0;x=z+112|0;y=z+48|0;t=z+32|0;u=z+24|0;v=z+16|0;w=z;if(!(e<<24>>24)){k=d+48|0;c[t>>2]=c[k>>2];c[t+4>>2]=c[k+4>>2];c[t+8>>2]=c[k+8>>2];c[t+12>>2]=c[k+12>>2];k=u;m=v;n=x;o=0}else{c[t>>2]=c[d>>2];c[t+4>>2]=c[d+4>>2];c[t+8>>2]=c[d+8>>2];c[t+12>>2]=c[d+12>>2];k=v;m=u;n=0;o=x}h[u>>3]=0.0;h[v>>3]=1.0;q=t+8|0;f=0.0;g=1.0;j=0;p=+h[t>>3];while(1){r=+h[q>>3];f=(f+g)*.5;PA(w,d,3,f,n,o);c[t>>2]=c[w>>2];c[t+4>>2]=c[w+4>>2];c[t+8>>2]=c[w+8>>2];c[t+12>>2]=c[w+12>>2];c[s>>2]=c[w>>2];c[s+4>>2]=c[w+4>>2];c[s+8>>2]=c[w+8>>2];c[s+12>>2]=c[w+12>>2];a:do if(!((ab[b&63](a,s)|0)<<24>>24)){e=0;while(1){if((e|0)==4){e=k;j=1;break a}j=y+(e<<4)|0;A=x+(e<<4)|0;c[j>>2]=c[A>>2];c[j+4>>2]=c[A+4>>2];c[j+8>>2]=c[A+8>>2];c[j+12>>2]=c[A+12>>2];e=e+1|0}}else e=m;while(0);h[e>>3]=f;i=+h[t>>3];p=p-i;if(!((p>=0.0?p:-p)>.5)?(r=r-+h[q>>3],!((r>=0.0?r:-r)>.5)):0)break;f=+h[u>>3];g=+h[v>>3];p=i}b:do if(!(j<<24>>24)){e=0;while(1){if((e|0)==4)break b;A=d+(e<<4)|0;y=x+(e<<4)|0;c[A>>2]=c[y>>2];c[A+4>>2]=c[y+4>>2];c[A+8>>2]=c[y+8>>2];c[A+12>>2]=c[y+12>>2];e=e+1|0}}else{e=0;while(1){if((e|0)==4)break b;A=d+(e<<4)|0;x=y+(e<<4)|0;c[A>>2]=c[x>>2];c[A+4>>2]=c[x+4>>2];c[A+8>>2]=c[x+8>>2];c[A+12>>2]=c[x+12>>2];e=e+1|0}}while(0);l=z;return}function Gz(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0.0;m=l;l=l+48|0;d=m+16|0;e=m;f=m+32|0;g=a+16|0;i=c[g>>2]|0;j=c[i+8>>2]|0;if(j|0?(k=j+4|0,c[(c[k>>2]|0)+12>>2]|0):0){c[f>>2]=a;c[f+4>>2]=0;n=+h[i+96>>3];h[e>>3]=+h[b>>3]-+h[i+16>>3];h[e+8>>3]=+h[b+8>>3]-+h[i+24>>3];k=c[(c[k>>2]|0)+12>>2]|0;c[d>>2]=c[e>>2];c[d+4>>2]=c[e+4>>2];c[d+8>>2]=c[e+8>>2];c[d+12>>2]=c[e+12>>2];k=ab[k&63](f,d)|0;h[(c[g>>2]|0)+96>>3]=n;Hz(f,a,b,k)}l=m;return}function Hz(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0.0,m=0,n=0;n=l;l=l+64|0;m=n;j=b+16|0;g=c[j>>2]|0;k=+h[g+96>>3];i=g+16|0;f=g+24|0;b=0;while(1){if((b|0)==4)break;h[m+(b<<4)>>3]=+h[d+(b<<4)>>3]-+h[i>>3];h[m+(b<<4)+8>>3]=+h[d+(b<<4)+8>>3]-+h[f>>3];b=b+1|0}Fz(a,c[(c[(c[g+8>>2]|0)+4>>2]|0)+12>>2]|0,m,e);b=0;while(1){if((b|0)==4)break;e=c[j>>2]|0;h[d+(b<<4)>>3]=+h[e+16>>3]+ +h[m+(b<<4)>>3];h[d+(b<<4)+8>>3]=+h[e+24>>3]+ +h[m+(b<<4)+8>>3];b=b+1|0}h[(c[j>>2]|0)+96>>3]=k;l=n;return}function Iz(b,d){b=b|0;d=d|0;var e=0,f=0;while(1){f=b+16|0;b=c[f>>2]|0;if(!(a[b+112>>0]|0))break;b=c[b+116>>2]|0}b=c[b+8>>2]|0;if(!b){b=vw(40)|0;c[(c[f>>2]|0)+8>>2]=b}e=c[b>>2]|0;if(!e)b=ww(((c[b+4>>2]|0)*48|0)+48|0)|0;else b=yw(e,((c[b+4>>2]|0)*48|0)+48|0)|0;f=c[(c[f>>2]|0)+8>>2]|0;c[f>>2]=b;f=f+4|0;e=c[f>>2]|0;c[f>>2]=e+1;f=b+(e*48|0)|0;c[f>>2]=vw(d<<4)|0;c[b+(e*48|0)+4>>2]=d;b=b+(e*48|0)+8|0;e=b+40|0;do{c[b>>2]=0;b=b+4|0}while((b|0)<(e|0));return f|0}function Jz(b,e,f,g,i){b=b|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0.0,F=0.0;D=l;l=l+96|0;A=D+16|0;u=D;x=D+92|0;y=D+88|0;v=D+80|0;m=c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0;z=ro(m)|0;B=Iz(b,g)|0;n=b;while(1){o=c[n+16>>2]|0;if(!(a[o+112>>0]|0))break;n=c[o+116>>2]|0}if((a[i+8>>0]|0)==0?(j=c[m+16>>2]|0,k=c[e+16>>2]|0,(c[j+232>>2]|0)==(c[k+232>>2]|0)):0){p=(c[j+236>>2]|0)>(c[k+236>>2]|0);w=p?m:e;m=p?e:m}else w=e;if((m|0)==(c[((c[n>>2]&3|0)==3?n:n+48|0)+40>>2]|0)){j=o+80|0;k=o+40|0;p=d[o+86>>0]|0;e=d[o+46>>0]|0}else{j=o+40|0;k=o+80|0;p=d[o+46>>0]|0;e=d[o+86>>0]|0}o=c[j>>2]|0;j=c[k>>2]|0;if(((e|0)!=0?(r=m+16|0,q=c[(c[r>>2]|0)+8>>2]|0,(q|0)!=0):0)?(c[(c[q+4>>2]|0)+12>>2]|0)!=0:0){c[v>>2]=m;c[v+4>>2]=j;j=g+-4|0;e=u+8|0;k=0;while(1){if((k|0)>=(j|0))break;n=k+3|0;q=c[r>>2]|0;h[u>>3]=+h[f+(n<<4)>>3]-+h[q+16>>3];h[e>>3]=+h[f+(n<<4)+8>>3]-+h[q+24>>3];q=c[(c[(c[q+8>>2]|0)+4>>2]|0)+12>>2]|0;c[A>>2]=c[u>>2];c[A+4>>2]=c[u+4>>2];c[A+8>>2]=c[u+8>>2];c[A+12>>2]=c[u+12>>2];if(!((ab[q&63](v,A)|0)<<24>>24))break;else k=n}c[x>>2]=k;Hz(v,m,f+(k<<4)|0,1)}else{c[x>>2]=0;k=0}if(((p|0)!=0?(t=w+16|0,s=c[(c[t>>2]|0)+8>>2]|0,(s|0)!=0):0)?(c[(c[s+4>>2]|0)+12>>2]|0)!=0:0){c[v>>2]=w;c[v+4>>2]=o;m=g+-4|0;e=u+8|0;j=m;while(1){if((j|0)<=0)break;g=c[t>>2]|0;h[u>>3]=+h[f+(j<<4)>>3]-+h[g+16>>3];h[e>>3]=+h[f+(j<<4)+8>>3]-+h[g+24>>3];g=c[(c[(c[g+8>>2]|0)+4>>2]|0)+12>>2]|0;c[A>>2]=c[u>>2];c[A+4>>2]=c[u+4>>2];c[A+8>>2]=c[u+8>>2];c[A+12>>2]=c[u+12>>2];if(!((ab[g&63](v,A)|0)<<24>>24))break;j=j+-3|0}c[y>>2]=j;Hz(v,w,f+(j<<4)|0,0)}else{m=g+-4|0;c[y>>2]=m;j=m}while(1){if((k|0)>=(m|0))break;e=k+3|0;E=+h[f+(k<<4)>>3]-+h[f+(e<<4)>>3];F=+h[f+(k<<4)+8>>3]-+h[f+(e<<4)+8>>3];if(F*F+E*E<1.0e-06)k=e;else break}c[x>>2]=k;while(1){if((j|0)<=0)break;v=j+3|0;F=+h[f+(j<<4)>>3]-+h[f+(v<<4)>>3];E=+h[f+(j<<4)+8>>3]-+h[f+(v<<4)+8>>3];if(!(E*E+F*F<1.0e-06))break;j=j+-3|0}c[y>>2]=j;Kz(b,w,f,x,y,B,i);r=c[x>>2]|0;n=c[y>>2]|0;m=n+4|0;n=n+3|0;o=A+16|0;p=A+32|0;q=A+48|0;k=z+16|0;j=r;while(1){if((j|0)>=(m|0))break;z=(c[B>>2]|0)+(j-r<<4)|0;e=f+(j<<4)|0;c[z>>2]=c[e>>2];c[z+4>>2]=c[e+4>>2];c[z+8>>2]=c[e+8>>2];c[z+12>>2]=c[e+12>>2];c[A>>2]=c[e>>2];c[A+4>>2]=c[e+4>>2];c[A+8>>2]=c[e+8>>2];c[A+12>>2]=c[e+12>>2];e=j+1|0;if((j|0)>=(n|0)){C=38;break}y=(c[B>>2]|0)+(e-r<<4)|0;z=f+(e<<4)|0;c[y>>2]=c[z>>2];c[y+4>>2]=c[z+4>>2];c[y+8>>2]=c[z+8>>2];c[y+12>>2]=c[z+12>>2];c[o>>2]=c[z>>2];c[o+4>>2]=c[z+4>>2];c[o+8>>2]=c[z+8>>2];c[o+12>>2]=c[z+12>>2];z=j+2|0;y=(c[B>>2]|0)+(z-r<<4)|0;z=f+(z<<4)|0;c[y>>2]=c[z>>2];c[y+4>>2]=c[z+4>>2];c[y+8>>2]=c[z+8>>2];c[y+12>>2]=c[z+12>>2];c[p>>2]=c[z>>2];c[p+4>>2]=c[z+4>>2];c[p+8>>2]=c[z+8>>2];c[p+12>>2]=c[z+12>>2];z=j+3|0;y=f+(z<<4)|0;c[q>>2]=c[y>>2];c[q+4>>2]=c[y+4>>2];c[q+8>>2]=c[y+8>>2];c[q+12>>2]=c[y+12>>2];eu((c[k>>2]|0)+16|0,A);j=z}c[B+4>>2]=m-r;l=D;return}function Kz(b,d,e,f,g,h,i){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0;p=l;l=l+16|0;m=p+4|0;n=p;o=b;while(1){j=c[(c[o+16>>2]|0)+116>>2]|0;if(!j)break;else o=j}if(!(a[i+8>>0]|0))j=($a[c[i>>2]&31](o)|0)&255;else j=0;At(o,m,n);k=i+4|0;if(($a[c[k>>2]&31](d)|0)<<24>>24)c[n>>2]=0;if(($a[c[k>>2]&31](c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)|0)<<24>>24)c[m>>2]=0;if(j|0){d=c[m>>2]|0;c[m>>2]=c[n>>2];c[n>>2]=d}if(!(a[i+9>>0]|0)){j=c[m>>2]|0;if(j|0)c[f>>2]=Pt(o,e,c[f>>2]|0,c[g>>2]|0,h,j)|0;j=c[n>>2]|0;if(j|0)c[g>>2]=Nt(o,e,c[f>>2]|0,c[g>>2]|0,h,j)|0}else{k=c[n>>2]|0;j=c[m>>2]|0;if(j|k|0)Qt(o,e,c[f>>2]|0,c[g>>2]|0,h,j,k)}l=p;return}function Lz(a,b){a=a|0;b=b|0;var d=0,e=0;if(+h[b>>3]<+h[b+16>>3]?+h[b+8>>3]<+h[b+24>>3]:0){d=c[a+84>>2]|0;e=a+80|0;a=c[e>>2]|0;c[e>>2]=a+1;a=d+(a<<5)|0;c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];c[a+16>>2]=c[b+16>>2];c[a+20>>2]=c[b+20>>2];c[a+24>>2]=c[b+24>>2];c[a+28>>2]=c[b+28>>2]}return}function Mz(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0.0,z=0.0;x=l;l=l+112|0;u=x+72|0;o=x+56|0;n=x+16|0;q=x;j=c[d>>2]&3;p=d+48|0;w=c[((j|0)==3?d:p)+40>>2]|0;t=d+16|0;r=c[t>>2]|0;i=r+16|0;if(a[r+47>>0]|0){Bz(n,w,c[((j|0)==2?d:d+-48|0)+40>>2]|0,i);j=n;n=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(n|0))}r=w+16|0;j=c[r>>2]|0;i=c[j+8>>2]|0;if(!i)n=0;else n=c[(c[i+4>>2]|0)+16>>2]|0;i=j+16|0;j=(c[t>>2]|0)+16|0;c[o>>2]=c[i>>2];c[o+4>>2]=c[i+4>>2];c[o+8>>2]=c[i+8>>2];c[o+12>>2]=c[i+12>>2];c[u>>2]=c[j>>2];c[u+4>>2]=c[j+4>>2];c[u+8>>2]=c[j+8>>2];c[u+12>>2]=c[j+12>>2];Nz(q,o,u);c[b>>2]=c[q>>2];c[b+4>>2]=c[q+4>>2];c[b+8>>2]=c[q+8>>2];c[b+12>>2]=c[q+12>>2];if(!(g<<24>>24)){i=c[t>>2]|0;if(!(a[i+45>>0]|0))i=0;else{k=+h[i+32>>3];v=9}}else{k=+Oz(c[((c[d>>2]&3|0)==3?d:p)+40>>2]|0);v=9}if((v|0)==9){h[b+16>>3]=k;i=1}a[b+29>>0]=i;c[b+80>>2]=0;c[b+88>>2]=d;q=f+32|0;c[q>>2]=c[b>>2];c[q+4>>2]=c[b+4>>2];c[q+8>>2]=c[b+8>>2];c[q+12>>2]=c[b+12>>2];switch(e|0){case 1:{j=c[r>>2]|0;if((a[j+156>>0]|0)==0?(q=a[(c[t>>2]|0)+49>>0]|0,s=q&255,q<<24>>24!=0):0){c[u>>2]=c[f>>2];c[u+4>>2]=c[f+4>>2];c[u+8>>2]=c[f+8>>2];c[u+12>>2]=c[f+12>>2];c[u+16>>2]=c[f+16>>2];c[u+20>>2]=c[f+20>>2];c[u+24>>2]=c[f+24>>2];c[u+28>>2]=c[f+28>>2];do if(!(s&4)){if(s&1|0){c[f+48>>2]=1;i=u+24|0;h[i>>3]=+h[(+h[i>>3]>+h[b+8>>3]?u+16|0:b)+8>>3];i=f+56|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=1;break}i=f+48|0;if(!(s&8)){c[i>>2]=2;h[u>>3]=+h[b>>3];h[u+8>>3]=+h[j+24>>3]-+h[j+80>>3]*.5;h[u+24>>3]=+h[b+8>>3];i=f+56|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=1;break}else{c[i>>2]=8;h[u+16>>3]=+h[b>>3];h[u+8>>3]=+h[j+24>>3]-+h[j+80>>3]*.5;h[u+24>>3]=+h[b+8>>3];i=f+56|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=1;break}}else{c[f+48>>2]=4;k=+h[u>>3];if(+h[b>>3]<+h[j+16>>3]){z=k+-1.0;y=+h[b+8>>3];b=u+16|0;k=+h[b>>3];m=+h[j+80>>3]*.5+ +h[j+24>>3];m=m+ +((c[(c[(ro(w)|0)+16>>2]|0)+252>>2]|0)/2|0|0);i=c[r>>2]|0;h[b>>3]=+h[i+16>>3]-+h[i+88>>3];h[u+24>>3]=y;h[u+8>>3]=+h[i+24>>3]-+h[i+80>>3]*.5;h[u>>3]=z;h[f+56>>3]=z;h[f+64>>3]=y;h[f+72>>3]=k;h[f+80>>3]=m;i=f+88|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=2;break}else{m=+h[b+8>>3];i=u+16|0;y=+h[i>>3]+1.0;z=+h[j+80>>3]*.5+ +h[j+24>>3];z=z+ +((c[(c[(ro(w)|0)+16>>2]|0)+252>>2]|0)/2|0|0);b=c[r>>2]|0;h[u>>3]=+h[b+96>>3]+ +h[b+16>>3];h[u+24>>3]=m;h[u+8>>3]=+h[b+24>>3]-+h[b+80>>3]*.5;h[i>>3]=y;h[f+56>>3]=k;h[f+64>>3]=m;h[f+72>>3]=y;h[f+80>>3]=z;i=f+88|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=2;break}}while(0);c[f+52>>2]=i;while(1){i=c[d+16>>2]|0;if(!(a[i+112>>0]|0))break;d=c[i+116>>2]|0}a[((w|0)==(c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0)?i+16|0:i+56|0)+30>>0]=0}else{j=1;v=47}break}case 2:{s=a[(c[t>>2]|0)+49>>0]|0;j=s&255;if(!(s<<24>>24))v=46;else{c[u>>2]=c[f>>2];c[u+4>>2]=c[f+4>>2];c[u+8>>2]=c[f+8>>2];c[u+12>>2]=c[f+12>>2];c[u+16>>2]=c[f+16>>2];c[u+20>>2]=c[f+20>>2];c[u+24>>2]=c[f+24>>2];c[u+28>>2]=c[f+28>>2];do if(!(j&4)){if(j&1|0)if((c[f+48>>2]|0)==4){i=c[r>>2]|0;z=+h[i+24>>3]-+h[i+80>>3]*.5;i=u+16|0;y=+h[i>>3]+1.0;k=+h[b>>3];m=z-+((c[(c[(ro(w)|0)+16>>2]|0)+252>>2]|0)/2|0|0);b=c[r>>2]|0;h[u>>3]=+h[b+96>>3]+ +h[b+16>>3];h[u+8>>3]=z;h[u+24>>3]=+h[b+80>>3]*.5+ +h[b+24>>3];h[i>>3]=y;h[f+56>>3]=k;h[f+64>>3]=m;h[f+72>>3]=y;h[f+80>>3]=z;i=f+88|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=2;break}else{i=u+24|0;h[i>>3]=+h[(+h[i>>3]>+h[b+8>>3]?u+16|0:b)+8>>3];i=f+56|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=1;break}k=+h[b>>3];if(!(j&8)){h[u>>3]=k;e=c[r>>2]|0;k=+h[e+24>>3];m=+h[e+80>>3]*.5;if((c[f+48>>2]|0)==4){h[u+24>>3]=m+k;k=+h[b+8>>3];i=u}else{h[u+8>>3]=k-m;k=+h[b+8>>3]+1.0;i=u+16|0}h[i+8>>3]=k;i=f+56|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=1;break}else{i=u+16|0;h[i>>3]=k+1.0;e=c[r>>2]|0;k=+h[e+24>>3];m=+h[e+80>>3]*.5;if((c[f+48>>2]|0)==4){h[u+24>>3]=m+k;k=+h[b+8>>3]+-1.0;i=u}else{h[u+8>>3]=k-m;k=+h[b+8>>3]+1.0}h[i+8>>3]=k;i=f+56|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=1;break}}else{i=u+8|0;h[i>>3]=+h[(+h[i>>3]<+h[b+8>>3]?u:b)+8>>3];i=f+56|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=1}while(0);c[f+52>>2]=i;while(1){i=c[d+16>>2]|0;if(!(a[i+112>>0]|0))break;d=c[i+116>>2]|0}a[((w|0)==(c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0)?i+16|0:i+56|0)+30>>0]=0;c[f+48>>2]=j}break}default:v=46}if((v|0)==46){j=c[f+48>>2]|0;v=47}a:do if((v|0)==47){if(n){d=f+56|0;i=f+52|0;j=db[n&3](w,(c[t>>2]|0)+16|0,j,d,i)|0;if(j){c[f+48>>2]=j;break}}else{i=f+52|0;d=f+56|0};c[d>>2]=c[f>>2];c[d+4>>2]=c[f+4>>2];c[d+8>>2]=c[f+8>>2];c[d+12>>2]=c[f+12>>2];c[d+16>>2]=c[f+16>>2];c[d+20>>2]=c[f+20>>2];c[d+24>>2]=c[f+24>>2];c[d+28>>2]=c[f+28>>2];c[i>>2]=1;switch(e|0){case 8:{ma(123205,91558,569,91568);break}case 2:{h[((c[f+48>>2]|0)==4?f+56|0:f+72|0)+8>>3]=+h[b+8>>3];break a}case 1:{h[f+80>>3]=+h[b+8>>3];c[f+48>>2]=1;break a}default:break a}}while(0);l=x;return}function Nz(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=+h[c+8>>3]+ +h[b+8>>3];h[a>>3]=+h[c>>3]+ +h[b>>3];h[a+8>>3]=d;return}function Oz(a){a=a|0;var b=0.0,d=0,e=0,f=0.0,g=0,i=0,j=0,k=0.0,l=0.0;i=c[a+16>>2]|0;j=c[i+172>>2]|0;f=0.0;g=0;while(1){a=c[j+(g<<2)>>2]|0;if(!a)break;f=+h[(c[(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+16>>3]+f;g=g+1|0}e=c[i+180>>2]|0;b=0.0;a=0;while(1){d=c[e+(a<<2)>>2]|0;if(!d)break;b=+h[(c[(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+16>>3]+b;a=a+1|0}k=+h[i+16>>3];l=+h[i+24>>3];j=c[j>>2]|0;f=+K(+(l-+h[(c[(c[((c[j>>2]&3|0)==3?j:j+48|0)+40>>2]|0)+16>>2]|0)+24>>3]),+(k-f/+(g|0)));j=c[e>>2]|0;return +((+K(+(+h[(c[(c[((c[j>>2]&3|0)==2?j:j+-48|0)+40>>2]|0)+16>>2]|0)+24>>3]-l),+(b/+(a|0)-k))+f)*.5)}function Pz(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0.0,B=0.0;z=l;l=l+112|0;w=z+72|0;p=z+56|0;n=z+16|0;t=z;j=c[d>>2]&3;r=d+-48|0;y=c[((j|0)==2?d:r)+40>>2]|0;u=d+16|0;s=c[u>>2]|0;i=s+56|0;if(a[s+87>>0]|0){Bz(n,y,c[((j|0)==3?d:d+48|0)+40>>2]|0,i);j=n;n=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(n|0))}s=y+16|0;j=c[s>>2]|0;i=c[j+8>>2]|0;if(!i)o=0;else o=c[(c[i+4>>2]|0)+16>>2]|0;n=b+40|0;i=j+16|0;j=(c[u>>2]|0)+56|0;c[p>>2]=c[i>>2];c[p+4>>2]=c[i+4>>2];c[p+8>>2]=c[i+8>>2];c[p+12>>2]=c[i+12>>2];c[w>>2]=c[j>>2];c[w+4>>2]=c[j+4>>2];c[w+8>>2]=c[j+8>>2];c[w+12>>2]=c[j+12>>2];Nz(t,p,w);c[n>>2]=c[t>>2];c[n+4>>2]=c[t+4>>2];c[n+8>>2]=c[t+8>>2];c[n+12>>2]=c[t+12>>2];if(!(g<<24>>24)){i=c[u>>2]|0;if(!(a[i+85>>0]|0))q=0;else{h[b+56>>3]=+h[i+72>>3];q=1}}else{m=+Oz(c[((c[d>>2]&3|0)==2?d:r)+40>>2]|0)+3.141592653589793;h[b+56>>3]=m;if(m<6.283185307179586)q=1;else ma(91578,91558,606,91602)}a[b+69>>0]=q;t=f+32|0;c[t>>2]=c[n>>2];c[t+4>>2]=c[n+4>>2];c[t+8>>2]=c[n+8>>2];c[t+12>>2]=c[n+12>>2];switch(e|0){case 1:{j=c[s>>2]|0;if((a[j+156>>0]|0)==0?(t=a[(c[u>>2]|0)+89>>0]|0,v=t&255,t<<24>>24!=0):0){c[w>>2]=c[f>>2];c[w+4>>2]=c[f+4>>2];c[w+8>>2]=c[f+8>>2];c[w+12>>2]=c[f+12>>2];c[w+16>>2]=c[f+16>>2];c[w+20>>2]=c[f+20>>2];c[w+24>>2]=c[f+24>>2];c[w+28>>2]=c[f+28>>2];do if(!(v&4))if(!(v&1)){i=f+48|0;if(!(v&8)){c[i>>2]=2;h[w>>3]=+h[n>>3];h[w+24>>3]=+h[j+80>>3]*.5+ +h[j+24>>3];h[w+8>>3]=+h[b+48>>3];i=f+56|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=1;break}else{c[i>>2]=8;h[w+16>>3]=+h[n>>3];h[w+24>>3]=+h[j+80>>3]*.5+ +h[j+24>>3];h[w+8>>3]=+h[b+48>>3];i=f+56|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=1;break}}else{c[f+48>>2]=1;k=+h[w>>3];if(+h[n>>3]<+h[j+16>>3]){B=k+-1.0;m=+h[b+48>>3];b=w+16|0;k=+h[b>>3];A=+h[j+80>>3]*-.5+ +h[j+24>>3];A=A-+((c[(c[(ro(y)|0)+16>>2]|0)+252>>2]|0)/2|0|0);i=c[s>>2]|0;h[b>>3]=+h[i+16>>3]-+h[i+88>>3];h[w+8>>3]=m;h[w+24>>3]=+h[i+80>>3]*.5+ +h[i+24>>3];h[w>>3]=B;h[f+56>>3]=B;h[f+64>>3]=A;h[f+72>>3]=k;h[f+80>>3]=m;i=f+88|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=2;break}else{B=+h[b+48>>3];i=w+16|0;A=+h[i>>3]+1.0;m=+h[j+80>>3]*-.5+ +h[j+24>>3];m=m-+((c[(c[(ro(y)|0)+16>>2]|0)+252>>2]|0)/2|0|0);b=c[s>>2]|0;h[w>>3]=+h[b+96>>3]+ +h[b+16>>3];h[w+8>>3]=B;h[w+24>>3]=+h[b+80>>3]*.5+ +h[b+24>>3];h[i>>3]=A;h[f+56>>3]=k;h[f+64>>3]=m;h[f+72>>3]=A;h[f+80>>3]=B;i=f+88|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=2;break}}else{c[f+48>>2]=4;i=w+8|0;h[i>>3]=+h[(+h[i>>3]<+h[b+48>>3]?w:n)+8>>3];i=f+56|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=1}while(0);c[f+52>>2]=i;while(1){i=c[d+16>>2]|0;if(!(a[i+112>>0]|0))break;d=c[i+116>>2]|0}a[((y|0)==(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)?i+56|0:i+16|0)+30>>0]=0;c[f+48>>2]=v}else{j=4;x=47}break}case 2:{v=a[(c[u>>2]|0)+89>>0]|0;j=v&255;if(!(v<<24>>24))x=46;else{c[w>>2]=c[f>>2];c[w+4>>2]=c[f+4>>2];c[w+8>>2]=c[f+8>>2];c[w+12>>2]=c[f+12>>2];c[w+16>>2]=c[f+16>>2];c[w+20>>2]=c[f+20>>2];c[w+24>>2]=c[f+24>>2];c[w+28>>2]=c[f+28>>2];do if(!(j&4)){if(j&1|0)if((c[f+48>>2]|0)==4){k=+h[w>>3]+-1.0;i=c[s>>2]|0;B=+h[i+24>>3]-+h[i+80>>3]*.5;A=+h[n>>3];m=B-+((c[(c[(ro(y)|0)+16>>2]|0)+252>>2]|0)/2|0|0);i=c[s>>2]|0;h[w+16>>3]=+h[i+16>>3]+-2.0-+h[i+88>>3];h[w+8>>3]=B;h[w+24>>3]=+h[i+80>>3]*.5+ +h[i+24>>3];h[w>>3]=k;h[f+56>>3]=k;h[f+64>>3]=m;h[f+72>>3]=A;h[f+80>>3]=B;i=f+88|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=2;break}else{i=w+24|0;h[i>>3]=+h[(+h[i>>3]>+h[b+8>>3]?w+16|0:b)+8>>3];i=f+56|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=1;break}k=+h[n>>3];if(!(j&8)){h[w>>3]=k+-1.0;e=c[s>>2]|0;k=+h[e+24>>3];m=+h[e+80>>3]*.5;if((c[f+48>>2]|0)==4){h[w+24>>3]=m+k;k=+h[b+48>>3]+-1.0;i=w}else{h[w+8>>3]=k-m;k=+h[b+48>>3];i=w+16|0}h[i+8>>3]=k;i=f+56|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=1;break}else{i=w+16|0;h[i>>3]=k+1.0;e=c[s>>2]|0;k=+h[e+24>>3];m=+h[e+80>>3]*.5;if((c[f+48>>2]|0)==4){h[w+24>>3]=m+k;k=+h[b+48>>3]+-1.0;i=w}else{h[w+8>>3]=k-m;k=+h[b+48>>3]+1.0}h[i+8>>3]=k;i=f+56|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=1;break}}else{i=w+8|0;h[i>>3]=+h[(+h[i>>3]<+h[b+48>>3]?w:n)+8>>3];i=f+56|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=1}while(0);c[f+52>>2]=i;while(1){i=c[d+16>>2]|0;if(!(a[i+112>>0]|0))break;d=c[i+116>>2]|0}a[((y|0)==(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)?i+56|0:i+16|0)+30>>0]=0;c[f+48>>2]=j}break}default:x=46}if((x|0)==46){j=c[f+48>>2]|0;x=47}a:do if((x|0)==47){if(o){d=f+56|0;i=f+52|0;j=db[o&3](y,(c[u>>2]|0)+56|0,j,d,i)|0;if(j){c[f+48>>2]=j;break}}else{i=f+52|0;d=f+56|0};c[d>>2]=c[f>>2];c[d+4>>2]=c[f+4>>2];c[d+8>>2]=c[f+8>>2];c[d+12>>2]=c[f+12>>2];c[d+16>>2]=c[f+16>>2];c[d+20>>2]=c[f+20>>2];c[d+24>>2]=c[f+24>>2];c[d+28>>2]=c[f+28>>2];c[i>>2]=1;switch(e|0){case 8:{ma(123205,91558,765,91602);break}case 2:{h[((c[f+48>>2]|0)==4?f+56|0:f+72|0)+8>>3]=+h[b+48>>3];break a}case 1:{h[f+64>>3]=+h[b+48>>3];c[f+48>>2]=4;break a}default:break a}}while(0);l=z;return}function Qz(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0;g=c[b+16>>2]|0;i=c[g+96>>2]|0;if((a[g+44>>0]|0)==0?(a[g+84>>0]|0)==0:0)j=6;else{d=a[g+49>>0]|0;e=d&255;if(((e&8|0)==0?(f=a[g+89>>0]|0,(f&8)==0):0)?((e&5|0)==0?1:d<<24>>24!=f<<24>>24):0)j=6;else b=0}if((j|0)==6)if(!i)b=18;else{b=(c[(c[(ro(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0)+16>>2]|0)+116>>2]&1|0)!=0;b=~~(+h[(b?i+32|0:i+24|0)>>3]+18.0)}return b|0}function Rz(b,d,e,f,g,h,i){b=b|0;d=d|0;e=e|0;f=f|0;g=+g;h=+h;i=i|0;var j=0,k=0,l=0,m=0;b=c[(c[d+(e<<2)>>2]|0)+16>>2]|0;if((a[b+44>>0]|0)==0?(a[b+84>>0]|0)==0:0)l=6;else l=3;do if((l|0)==3){j=a[b+49>>0]|0;k=j&255;if(!(k&8)){m=a[b+89>>0]|0;if((m&8)==0?((k&5|0)==0?1:j<<24>>24!=m<<24>>24):0){l=6;break}if(!(a[b+89>>0]&8)){if(k&4|0){Tz(d,e,f,g,h,i);break}if(!(k&1))ma(123205,91558,1231,91610);else{Vz(d,e,f,g,h,i);break}}}if((j&2)==0?(a[b+89>>0]&2)==0:0){Uz(d,e,f,g,h,i);break}Tz(d,e,f,g,h,i)}while(0);if((l|0)==6)Sz(d,e,f,g,h,i);return}function Sz(b,e,f,g,i,j){b=b|0;e=e|0;f=f|0;g=+g;i=+i;j=j|0;var k=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0,r=0,s=0,t=0,u=0,v=0.0,w=0,x=0,y=0,z=0.0,A=0,B=0,C=0.0,D=0,E=0.0,F=0.0,G=0.0,H=0.0,I=0.0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0.0,R=0.0,S=0;P=l;l=l+16080|0;L=P+80|0;M=P+64|0;N=P+48|0;O=P+32|0;J=P+16|0;K=P;B=c[b+(e<<2)>>2]|0;n=i*.5/+(f|0);n=n>2.0?n:2.0;D=(c[((c[B>>2]&3|0)==3?B:B+48|0)+40>>2]|0)+16|0;A=c[D>>2]|0;C=+h[A+16>>3];H=+h[A+24>>3];B=c[B+16>>2]|0;m=+h[B+16>>3];E=m+C;F=+h[B+24>>3]+H;i=+h[B+56>>3];G=i+C;H=+h[B+64>>3]+H;k=!(F>=H)?-1:1;p=+h[A+96>>3];switch(Wz(d[B+49>>0]|0,d[B+89>>0]|0)|0){case 65:case 32:{if(F==H)k=0-k|0;break}default:{}}Q=(p-m)*3.0;m=(p-i)*3.0;v=n*+(k|0);u=L+8|0;w=L+16|0;x=L+32|0;y=L+48|0;z=(H+F)*.5;A=L+64|0;B=L+80|0;s=L+96|0;t=L+104|0;r=0;o=0.0;i=p;n=p<Q?p:Q;m=p<m?p:m;while(1){if((r|0)>=(f|0))break;q=e+1|0;e=c[b+(e<<2)>>2]|0;p=i+g;n=n+g;m=m+g;o=o+v;h[L>>3]=E;h[u>>3]=F;Q=o+F;Xz(M,n*.3333333333333333+E,Q);c[w>>2]=c[M>>2];c[w+4>>2]=c[M+4>>2];c[w+8>>2]=c[M+8>>2];c[w+12>>2]=c[M+12>>2];R=p+C;Xz(N,R,Q);c[x>>2]=c[N>>2];c[x+4>>2]=c[N+4>>2];c[x+8>>2]=c[N+8>>2];c[x+12>>2]=c[N+12>>2];Xz(O,R,z);c[y>>2]=c[O>>2];c[y+4>>2]=c[O+4>>2];c[y+8>>2]=c[O+8>>2];c[y+12>>2]=c[O+12>>2];Q=H-o;Xz(J,R,Q);c[A>>2]=c[J>>2];c[A+4>>2]=c[J+4>>2];c[A+8>>2]=c[J+8>>2];c[A+12>>2]=c[J+12>>2];Xz(K,m*.3333333333333333+G,Q);c[B>>2]=c[K>>2];c[B+4>>2]=c[K+4>>2];c[B+8>>2]=c[K+8>>2];c[B+12>>2]=c[K+12>>2];h[s>>3]=G;h[t>>3]=H;k=e+16|0;if((c[(c[k>>2]|0)+96>>2]|0)!=0?(S=(c[(c[(ro(c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0)|0)+16>>2]|0)+116>>2]&1|0)==0,k=c[(c[k>>2]|0)+96>>2]|0,I=+h[(S?k+24|0:k+32|0)>>3],S=c[D>>2]|0,h[k+56>>3]=I*.5+p+ +h[S+16>>3],h[k+64>>3]=+h[S+24>>3],a[k+81>>0]=1,I>g):0)i=I+i;else i=p;Jz(e,c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0,L,7,j);e=q;r=r+1|0}l=P;return}function Tz(b,e,f,g,i,j){b=b|0;e=e|0;f=f|0;g=+g;i=+i;j=j|0;var k=0.0,m=0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0.0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0.0,B=0,C=0,D=0.0,E=0,F=0.0,G=0.0,H=0.0,I=0.0,J=0.0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0.0,S=0;Q=l;l=l+16080|0;M=Q+80|0;N=Q+64|0;O=Q+48|0;P=Q+32|0;K=Q+16|0;L=Q;C=c[b+(e<<2)>>2]|0;q=g*.5/+(f|0);q=q>2.0?q:2.0;E=(c[((c[C>>2]&3|0)==3?C:C+48|0)+40>>2]|0)+16|0;m=c[E>>2]|0;H=+h[m+16>>3];D=+h[m+24>>3];C=c[C+16>>2]|0;k=+h[C+16>>3];p=+h[C+24>>3];F=k+H;G=p+D;g=+h[C+56>>3];o=+h[C+64>>3];H=g+H;I=o+D;n=!(F>=H)?-1.0:1.0;s=+h[m+80>>3]*.5;switch(Wz(d[C+49>>0]|0,d[C+89>>0]|0)|0){case 15:{k=(q-g+ +h[m+96>>3])*n;break}case 38:{k=(g+q+ +h[m+88>>3])*n;break}case 41:{k=(q-k+ +h[m+96>>3])*n;break}case 48:{k=(q-k+ +h[m+96>>3])*n;break}case 58:case 57:case 51:case 47:case 37:case 14:{k=n*.3333333333333333*(k-g+ +h[m+88>>3]+ +h[m+96>>3]);break}case 73:{k=(k+q+ +h[m+88>>3])*n;break}case 83:{k=(+h[m+88>>3]+k)*n;break}case 84:{k=((k-g+ +h[m+88>>3]+ +h[m+96>>3])*.5+q)*n;break}case 85:case 75:case 74:{k=((k-g+ +h[m+88>>3]+ +h[m+96>>3])*.5+q*2.0)*n;break}default:k=0.0}p=(s-p)*3.0;o=(s-o)*3.0;q=n*q;w=M+8|0;x=M+16|0;y=M+32|0;z=M+48|0;A=(H+F)*.5;B=M+64|0;C=M+80|0;u=M+96|0;v=M+104|0;t=0;g=s;p=s<p?s:p;n=s<o?s:o;while(1){if((t|0)>=(f|0))break;r=e+1|0;e=c[b+(e<<2)>>2]|0;o=g+i;p=p+i;n=n+i;k=k+q;h[M>>3]=F;h[w>>3]=G;s=k+F;Xz(N,s,p*.3333333333333333+G);c[x>>2]=c[N>>2];c[x+4>>2]=c[N+4>>2];c[x+8>>2]=c[N+8>>2];c[x+12>>2]=c[N+12>>2];R=o+D;Xz(O,s,R);c[y>>2]=c[O>>2];c[y+4>>2]=c[O+4>>2];c[y+8>>2]=c[O+8>>2];c[y+12>>2]=c[O+12>>2];Xz(P,A,R);c[z>>2]=c[P>>2];c[z+4>>2]=c[P+4>>2];c[z+8>>2]=c[P+8>>2];c[z+12>>2]=c[P+12>>2];s=H-k;Xz(K,s,R);c[B>>2]=c[K>>2];c[B+4>>2]=c[K+4>>2];c[B+8>>2]=c[K+8>>2];c[B+12>>2]=c[K+12>>2];Xz(L,s,n*.3333333333333333+I);c[C>>2]=c[L>>2];c[C+4>>2]=c[L+4>>2];c[C+8>>2]=c[L+8>>2];c[C+12>>2]=c[L+12>>2];h[u>>3]=H;h[v>>3]=I;m=e+16|0;if((c[(c[m>>2]|0)+96>>2]|0)!=0?(S=(c[(c[(ro(c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0)|0)+16>>2]|0)+116>>2]&1|0)==0,m=c[(c[m>>2]|0)+96>>2]|0,J=+h[(S?m+32|0:m+24|0)>>3],S=c[E>>2]|0,h[m+64>>3]=J*.5+o+ +h[S+24>>3],h[m+56>>3]=+h[S+16>>3],a[m+81>>0]=1,J>i):0)g=J+g;else g=o;Jz(e,c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0,M,7,j);e=r;t=t+1|0}l=Q;return}function Uz(b,e,f,g,i,j){b=b|0;e=e|0;f=f|0;g=+g;i=+i;j=j|0;var k=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0,r=0,s=0,t=0,u=0,v=0.0,w=0,x=0,y=0,z=0.0,A=0,B=0,C=0.0,D=0,E=0.0,F=0.0,G=0.0,H=0.0,I=0.0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0.0,R=0.0,S=0;P=l;l=l+16080|0;L=P+80|0;M=P+64|0;N=P+48|0;O=P+32|0;J=P+16|0;K=P;B=c[b+(e<<2)>>2]|0;n=i*.5/+(f|0);n=n>2.0?n:2.0;D=(c[((c[B>>2]&3|0)==3?B:B+48|0)+40>>2]|0)+16|0;A=c[D>>2]|0;C=+h[A+16>>3];H=+h[A+24>>3];B=c[B+16>>2]|0;m=+h[B+16>>3];E=m+C;F=+h[B+24>>3]+H;i=+h[B+56>>3];G=i+C;H=+h[B+64>>3]+H;k=!(F>=H)?-1:1;p=+h[A+88>>3];switch(Wz(d[B+49>>0]|0,d[B+89>>0]|0)|0){case 67:case 12:{if(F==H)k=0-k|0;break}default:{}}Q=(m+p)*3.0;m=(i+p)*3.0;v=n*+(k|0);u=L+8|0;w=L+16|0;x=L+32|0;y=L+48|0;z=(H+F)*.5;A=L+64|0;B=L+80|0;s=L+96|0;t=L+104|0;r=0;o=0.0;i=p;n=p<Q?p:Q;m=p<m?p:m;while(1){if((r|0)>=(f|0))break;q=e+1|0;e=c[b+(e<<2)>>2]|0;p=i+g;n=n+g;m=m+g;o=o+v;h[L>>3]=E;h[u>>3]=F;Q=o+F;Xz(M,E-n*.3333333333333333,Q);c[w>>2]=c[M>>2];c[w+4>>2]=c[M+4>>2];c[w+8>>2]=c[M+8>>2];c[w+12>>2]=c[M+12>>2];R=C-p;Xz(N,R,Q);c[x>>2]=c[N>>2];c[x+4>>2]=c[N+4>>2];c[x+8>>2]=c[N+8>>2];c[x+12>>2]=c[N+12>>2];Xz(O,R,z);c[y>>2]=c[O>>2];c[y+4>>2]=c[O+4>>2];c[y+8>>2]=c[O+8>>2];c[y+12>>2]=c[O+12>>2];Q=H-o;Xz(J,R,Q);c[A>>2]=c[J>>2];c[A+4>>2]=c[J+4>>2];c[A+8>>2]=c[J+8>>2];c[A+12>>2]=c[J+12>>2];Xz(K,G-m*.3333333333333333,Q);c[B>>2]=c[K>>2];c[B+4>>2]=c[K+4>>2];c[B+8>>2]=c[K+8>>2];c[B+12>>2]=c[K+12>>2];h[s>>3]=G;h[t>>3]=H;k=e+16|0;if((c[(c[k>>2]|0)+96>>2]|0)!=0?(S=(c[(c[(ro(c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0)|0)+16>>2]|0)+116>>2]&1|0)==0,k=c[(c[k>>2]|0)+96>>2]|0,I=+h[(S?k+24|0:k+32|0)>>3],S=c[D>>2]|0,h[k+56>>3]=I*-.5-p+ +h[S+16>>3],h[k+64>>3]=+h[S+24>>3],a[k+81>>0]=1,I>g):0)i=I+i;else i=p;Jz(e,c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0,L,7,j);e=q;r=r+1|0}l=P;return}function Vz(b,e,f,g,i,j){b=b|0;e=e|0;f=f|0;g=+g;i=+i;j=j|0;var k=0.0,m=0.0,n=0.0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0,v=0.0,w=0,x=0.0,y=0.0,z=0.0,A=0.0,B=0.0,C=0,D=0,E=0,F=0.0,G=0,H=0,I=0.0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0.0,R=0.0,S=0;P=l;l=l+16080|0;L=P+80|0;M=P+64|0;N=P+48|0;O=P+32|0;J=P+16|0;K=P;C=c[b+(e<<2)>>2]|0;B=g*.5/+(f|0);w=(c[((c[C>>2]&3|0)==3?C:C+48|0)+40>>2]|0)+16|0;D=c[w>>2]|0;z=+h[D+16>>3];v=+h[D+24>>3];C=c[C+16>>2]|0;m=+h[C+24>>3];x=+h[C+16>>3]+z;y=m+v;n=+h[C+64>>3];z=+h[C+56>>3]+z;A=n+v;u=!(x>=z)?-1:1;o=+h[D+80>>3]*.5;C=(Wz(d[C+49>>0]|0,d[C+89>>0]|0)|0)==67;m=(m+o)*3.0;n=(n+o)*3.0;B=(B>2.0?B:2.0)*+((C?0-u|0:u)|0);u=L+8|0;C=L+16|0;D=L+32|0;E=L+48|0;F=(z+x)*.5;G=L+64|0;H=L+80|0;s=L+96|0;t=L+104|0;g=o;k=0.0;m=o<m?o:m;n=o<n?o:n;q=0;while(1){if((q|0)>=(f|0))break;r=e+1|0;p=c[b+(e<<2)>>2]|0;o=g+i;m=m+i;n=n+i;k=k+B;h[L>>3]=x;h[u>>3]=y;Q=k+x;Xz(M,Q,y-m*.3333333333333333);c[C>>2]=c[M>>2];c[C+4>>2]=c[M+4>>2];c[C+8>>2]=c[M+8>>2];c[C+12>>2]=c[M+12>>2];R=v-o;Xz(N,Q,R);c[D>>2]=c[N>>2];c[D+4>>2]=c[N+4>>2];c[D+8>>2]=c[N+8>>2];c[D+12>>2]=c[N+12>>2];Xz(O,F,R);c[E>>2]=c[O>>2];c[E+4>>2]=c[O+4>>2];c[E+8>>2]=c[O+8>>2];c[E+12>>2]=c[O+12>>2];Q=z-k;Xz(J,Q,R);c[G>>2]=c[J>>2];c[G+4>>2]=c[J+4>>2];c[G+8>>2]=c[J+8>>2];c[G+12>>2]=c[J+12>>2];Xz(K,Q,A-n*.3333333333333333);c[H>>2]=c[K>>2];c[H+4>>2]=c[K+4>>2];c[H+8>>2]=c[K+8>>2];c[H+12>>2]=c[K+12>>2];h[s>>3]=z;h[t>>3]=A;e=p+16|0;if((c[(c[e>>2]|0)+96>>2]|0)!=0?(S=(c[(c[(ro(c[((c[p>>2]&3|0)==3?p:p+48|0)+40>>2]|0)|0)+16>>2]|0)+116>>2]&1|0)==0,e=c[(c[e>>2]|0)+96>>2]|0,I=+h[(S?e+32|0:e+24|0)>>3],S=c[w>>2]|0,h[e+64>>3]=I*-.5-o+ +h[S+24>>3],h[e+56>>3]=+h[S+16>>3],a[e+81>>0]=1,I>i):0)g=I+g;else g=o;Jz(p,c[((c[p>>2]&3|0)==2?p:p+-48|0)+40>>2]|0,L,7,j);e=r;q=q+1|0}l=P;return}function Wz(a,b){a=a|0;b=b|0;var d=0;d=0;while(1){if((d|0)>=8){b=-1;break}if((c[21064+(d<<2)>>2]|0)==(b|0)){b=d;break}d=d+1|0}d=0;while(1){if((d|0)>=8){d=-1;break}if((c[21064+(d<<2)>>2]|0)==(a|0))break;d=d+1|0}if((d|b|0)<0)d=0;else d=c[21096+(d<<5)+(b<<2)>>2]|0;return d|0}function Xz(a,b,c){a=a|0;b=+b;c=+c;h[a>>3]=b;h[a+8>>3]=c;return}function Yz(b){b=b|0;var d=0,e=0;if((c[42247]|0)!=0|(c[42246]|0)!=0){d=b+16|0;e=c[(c[d>>2]|0)+100>>2]|0;if((e|0?(a[e+81>>0]|0)==0:0)?Zz(b,1)|0:0){e=ro(c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)|0;bB(e,c[(c[d>>2]|0)+100>>2]|0)}e=c[(c[d>>2]|0)+104>>2]|0;if((e|0?(a[e+81>>0]|0)==0:0)?Zz(b,0)|0:0){e=ro(c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)|0;bB(e,c[(c[d>>2]|0)+104>>2]|0)}}return}function Zz(b,d){b=b|0;d=d|0;var e=0,f=0.0,g=0.0,i=0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0;q=l;l=l+96|0;o=q+32|0;m=q+16|0;n=q;i=b+16|0;do if((a[(c[i>>2]|0)+112>>0]|0)!=6){e=c[42247]|0;if(!((e|0)!=0?(a[(Jm(b,e)|0)>>0]|0)!=0:0)){e=c[42246]|0;if(!e){e=0;break}if(!(a[(Jm(b,e)|0)>>0]|0)){e=0;break}}d=d<<24>>24==0;p=c[i>>2]|0;p=c[(d?p+104|0:p+100|0)>>2]|0;e=_z(b)|0;if(e){k=c[e>>2]|0;do if(d){if(c[k+8>>2]|0){e=c[k>>2]|0;j=+h[e>>3];g=+h[k+16>>3];e=e+8|0;f=+h[k+24>>3];break}e=c[k>>2]|0;g=+h[e>>3];f=+h[e+8>>3];e=0;while(1){if((e|0)==4)break;n=o+(e<<4)|0;i=(c[k>>2]|0)+(e<<4)|0;c[n>>2]=c[i>>2];c[n+4>>2]=c[i+4>>2];c[n+8>>2]=c[i+8>>2];c[n+12>>2]=c[i+12>>2];e=e+1|0}PA(m,o,3,.1,0,0);j=+h[m>>3];e=m+8|0}else{d=(c[e+4>>2]|0)+-1|0;i=k+(d*48|0)|0;if(c[k+(d*48|0)+12>>2]|0){o=c[i>>2]|0;e=(c[k+(d*48|0)+4>>2]|0)+-1|0;j=+h[o+(e<<4)>>3];g=+h[k+(d*48|0)+32>>3];e=o+(e<<4)+8|0;f=+h[k+(d*48|0)+40>>3];break}m=c[i>>2]|0;d=k+(d*48|0)+4|0;e=(c[d>>2]|0)+-1|0;g=+h[m+(e<<4)>>3];f=+h[m+(e<<4)+8>>3];e=0;while(1){if((e|0)==4)break;m=o+(e<<4)|0;k=(c[i>>2]|0)+(e+-4+(c[d>>2]|0)<<4)|0;c[m>>2]=c[k>>2];c[m+4>>2]=c[k+4>>2];c[m+8>>2]=c[k+8>>2];c[m+12>>2]=c[k+12>>2];e=e+1|0}PA(n,o,3,.9,0,0);j=+h[n>>3];e=n+8|0}while(0);r=+K(+(+h[e>>3]-f),+(j-g));r=+EA(b,c[42247]|0,-25.0,-180.0)*.017453292519943295+r;j=+EA(b,c[42246]|0,1.0,0.0)*10.0;h[p+56>>3]=j*+E(+r)+g;h[p+64>>3]=+F(+r)*j+f;a[p+81>>0]=1;e=1}else e=0}else e=0;while(0);l=q;return e|0}function _z(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;h=l;l=l+16|0;f=h;d=b;while(1){e=c[d+16>>2]|0;d=c[e+8>>2]|0;if(d|0)break;if(!(a[e+112>>0]|0)){g=5;break}d=c[e+116>>2]|0}if((g|0)==5){g=Dn(c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)|0;d=Dn(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0;c[f>>2]=g;c[f+4>>2]=d;_l(1,91623,f)|0;d=0}l=h;return d|0}function $z(a,d,e){a=a|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0.0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0.0,u=0.0;s=l;l=l+96|0;m=s+80|0;n=s+64|0;o=s+48|0;p=s+32|0;q=s+16|0;r=s;k=b[(c[d+16>>2]|0)+136>>1]|0;d=e+16|0;aA(c[(c[d>>2]|0)+8>>2]|0,p,q);f=+h[p>>3];g=+h[q>>3];t=f-g;i=+h[p+8>>3];j=+h[q+8>>3];u=i-j;a:do if(u*u+t*t<1.0e-06){c[o>>2]=c[p>>2];c[o+4>>2]=c[p+4>>2];c[o+8>>2]=c[p+8>>2];c[o+12>>2]=c[p+12>>2]}else switch(k&14){case 4:case 10:{h[n>>3]=(g+f)*.5;h[n+8>>3]=(j+i)*.5;q=c[(c[d>>2]|0)+8>>2]|0;c[m>>2]=c[n>>2];c[m+4>>2]=c[n+4>>2];c[m+8>>2]=c[n+8>>2];c[m+12>>2]=c[n+12>>2];VA(r,q,m);c[o>>2]=c[r>>2];c[o+4>>2]=c[r+4>>2];c[o+8>>2]=c[r+8>>2];c[o+12>>2]=c[r+12>>2];break a}default:{bA(o,c[(c[d>>2]|0)+8>>2]|0,p,q);break a}}while(0);c[a>>2]=c[o>>2];c[a+4>>2]=c[o+4>>2];c[a+8>>2]=c[o+8>>2];c[a+12>>2]=c[o+12>>2];l=s;return}function aA(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;h=l;l=l+32|0;g=h+16|0;f=h;j=c[a>>2]|0;e=c[j>>2]|0;i=c[j+8>>2]|0;k=j+16|0;c[g>>2]=c[k>>2];c[g+4>>2]=c[k+4>>2];c[g+8>>2]=c[k+8>>2];c[g+12>>2]=c[k+12>>2];j=j+32|0;c[f>>2]=c[j>>2];c[f+4>>2]=c[j+4>>2];c[f+8>>2]=c[j+8>>2];c[f+12>>2]=c[j+12>>2];if(!i){c[b>>2]=c[e>>2];c[b+4>>2]=c[e+4>>2];c[b+8>>2]=c[e+8>>2];c[b+12>>2]=c[e+12>>2]}else{c[b>>2]=c[g>>2];c[b+4>>2]=c[g+4>>2];c[b+8>>2]=c[g+8>>2];c[b+12>>2]=c[g+12>>2]}i=c[a>>2]|0;j=(c[a+4>>2]|0)+-1|0;e=c[i+(j*48|0)>>2]|0;a=c[i+(j*48|0)+4>>2]|0;k=c[i+(j*48|0)+12>>2]|0;b=i+(j*48|0)+16|0;c[g>>2]=c[b>>2];c[g+4>>2]=c[b+4>>2];c[g+8>>2]=c[b+8>>2];c[g+12>>2]=c[b+12>>2];j=i+(j*48|0)+32|0;c[f>>2]=c[j>>2];c[f+4>>2]=c[j+4>>2];c[f+8>>2]=c[j+8>>2];c[f+12>>2]=c[j+12>>2];if(!k){k=e+(a+-1<<4)|0;c[d>>2]=c[k>>2];c[d+4>>2]=c[k+4>>2];c[d+8>>2]=c[k+8>>2];c[d+12>>2]=c[k+12>>2]}else{c[d>>2]=c[f>>2];c[d+4>>2]=c[f+4>>2];c[d+8>>2]=c[f+8>>2];c[d+12>>2]=c[f+12>>2]}l=h;return}function bA(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0,j=0,k=0,l=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0.0;r=c[b+4>>2]|0;g=0.0;f=0;while(1){if((f|0)>=(r|0))break;l=c[b>>2]|0;k=c[l+(f*48|0)>>2]|0;l=c[l+(f*48|0)+4>>2]|0;i=3;j=0;while(1){if((i|0)>=(l|0))break;q=+h[k+(j<<4)>>3]-+h[k+(i<<4)>>3];p=+h[k+(j<<4)+8>>3]-+h[k+(i<<4)+8>>3];i=i+3|0;j=j+3|0;g=+C(+(p*p+q*q))+g}f=f+1|0}l=0;g=g*.5;a:while(1){if((l|0)>=(r|0)){f=15;break}k=c[b>>2]|0;j=c[k+(l*48|0)>>2]|0;k=c[k+(l*48|0)+4>>2]|0;f=3;i=0;while(1){if((f|0)>=(k|0))break;m=+h[j+(i<<4)>>3];p=+h[j+(i<<4)+8>>3];n=+h[j+(f<<4)>>3];o=+h[j+(f<<4)+8>>3];q=m-n;s=p-o;q=+C(+(s*s+q*q));if(q>=g){f=12;break a}f=f+3|0;i=i+3|0;g=g-q}l=l+1|0}if((f|0)==12){h[d>>3]=m;h[d+8>>3]=p;h[e>>3]=n;h[e+8>>3]=o;s=q-g;h[a>>3]=(s*m+n*g)/q;h[a+8>>3]=(s*p+o*g)/q;return}else if((f|0)==15)ma(123523,91558,1316,91685)}function cA(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;Yz(b);return}function dA(b,d,e,f,g){b=b|0;d=d|0;e=+e;f=f|0;g=g|0;var i=0.0,j=0.0,k=0.0,l=0.0,m=0.0,n=0,o=0,p=0.0,q=0.0,r=0.0,s=0,t=0.0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0.0,C=0.0,D=0,G=0,H=0,I=0,J=0,K=0,L=0;J=eA(b)|0;I=c[J+4>>2]|0;K=c[J>>2]|0;H=I+-1|0;B=+h[K+(H<<6)+16>>3];C=+(I|0);D=(g|0)==2;G=(f|0)!=0;n=0;j=0.0;i=0.0;l=0.0;m=0.0;while(1){if((n|0)>=(I|0))break;b=~~+fA(+(n+-1|0),C);A=n+1|0;L=~~+fA(+(A|0),C);o=K+(n<<6)|0;m=+h[o>>3];z=K+(n<<6)+8|0;l=+h[z>>3];s=K+(n<<6)+16|0;t=+h[s>>3];u=K+(n<<6)+24|0;v=K+(n<<6)+32|0;w=K+(n<<6)+40|0;x=K+(n<<6)+48|0;y=K+(n<<6)+56|0;k=+gA(+h[K+(L<<6)+8>>3]-l,+h[K+(L<<6)>>3]-m);q=+gA(+h[K+(b<<6)+8>>3]-l,+h[K+(b<<6)>>3]-m);r=+Za[d&7](t,B,e);b=(n|0)==0;do if(b|(n|0)==(H|0))if(b){i=k+1.5707963267948966;if(!D){b=0;p=i;j=r;break}b=0;p=i;j=r;l=l-+F(+k)*r;m=m-+E(+k)*r;break}else{i=q+-1.5707963267948966;if(!D){b=0;p=i;j=r;break}b=0;p=i;j=r;l=l-+F(+q)*r;m=m-+E(+q)*r;break}else{p=k-q;p=1.5707963267948966-(p<0.0?p+6.283185307179586:p)*.5;j=+E(+p);j=j==0.0?0.0:r/j;i=k+1.5707963267948966;k=p+i;if(G|j>r*10.0){q=+fA(q+-1.5707963267948966,6.283185307179586);b=1;p=+fA(i,6.283185307179586);j=r;i=q}else{b=0;p=k;i=k}}while(0);h[o>>3]=m;h[z>>3]=l;h[s>>3]=t;a[u>>0]=108;h[v>>3]=i;h[w>>3]=j;c[x>>2]=b;h[y>>3]=p;n=A}o=vw(12)|0;b=0;while(1){if((b|0)>=(I|0))break;m=+h[K+(b<<6)>>3];l=+h[K+(b<<6)+8>>3];i=+h[K+(b<<6)+32>>3];j=+h[K+(b<<6)+40>>3];L=c[K+(b<<6)+48>>2]|0;k=+h[K+(b<<6)+56>>3];hA(o,+E(+i)*j+m,+F(+i)*j+l);if(L|0)iA(m,l,j,1,i,k,f,o);b=b+1|0}n=(g|0)==1;k=i+3.141592653589793;if(n)jA(o,m,l,j,i,k);else{hA(o,+E(+k)*j+m,+F(+k)*j+l);i=k}b=I+-2|0;k=m;while(1){if((b|0)<=-1)break;m=+h[K+(b<<6)>>3];l=+h[K+(b<<6)+8>>3];j=+h[K+(b<<6)+40>>3];L=c[K+(b<<6)+48>>2]|0;i=+h[K+(b<<6)+32>>3]+3.141592653589793;k=+h[K+(b<<6)+56>>3]+3.141592653589793;hA(o,+E(+k)*j+m,+F(+k)*j+l);if(L|0)iA(m,l,j,0,i,k,f,o);b=b+-1|0;k=m}if(n)jA(o,k,l,j,i,i+3.141592653589793);kA(J);return o|0}function eA(a){a=a|0;var b=0.0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0.0;q=l;l=l+144|0;i=q+128|0;h=q+112|0;j=q+96|0;k=q+64|0;m=q;n=q+80|0;o=lA()|0;p=c[a+4>>2]|0;f=c[a>>2]|0;c[i>>2]=c[f>>2];c[i+4>>2]=c[f+4>>2];c[i+8>>2]=c[f+8>>2];c[i+12>>2]=c[f+12>>2];mA(o,i,0.0);g=m+48|0;c[g>>2]=c[f>>2];c[g+4>>2]=c[f+4>>2];c[g+8>>2]=c[f+8>>2];c[g+12>>2]=c[f+12>>2];d=0;b=0.0;a:while(1){e=d+3|0;if((e|0)>=(p|0))break;c[m>>2]=c[g>>2];c[m+4>>2]=c[g+4>>2];c[m+8>>2]=c[g+8>>2];c[m+12>>2]=c[g+12>>2];a=1;while(1){if((a|0)==4)break;r=m+(a<<4)|0;s=f+(a+d<<4)|0;c[r>>2]=c[s>>2];c[r+4>>2]=c[s+4>>2];c[r+8>>2]=c[s+8>>2];c[r+12>>2]=c[s+12>>2];a=a+1|0}c[j>>2]=c[m>>2];c[j+4>>2]=c[m+4>>2];c[j+8>>2]=c[m+8>>2];c[j+12>>2]=c[m+12>>2];a=1;while(1){if((a|0)==21){d=e;continue a}PA(n,m,3,+(a|0)*.05,0,0);c[k>>2]=c[n>>2];c[k+4>>2]=c[n+4>>2];c[k+8>>2]=c[n+8>>2];c[k+12>>2]=c[n+12>>2];c[h>>2]=c[j>>2];c[h+4>>2]=c[j+4>>2];c[h+8>>2]=c[j+8>>2];c[h+12>>2]=c[j+12>>2];c[i>>2]=c[n>>2];c[i+4>>2]=c[n+4>>2];c[i+8>>2]=c[n+8>>2];c[i+12>>2]=c[n+12>>2];t=+nA(h,i)+b;c[i>>2]=c[k>>2];c[i+4>>2]=c[k+4>>2];c[i+8>>2]=c[k+8>>2];c[i+12>>2]=c[k+12>>2];mA(o,i,t);c[j>>2]=c[k>>2];c[j+4>>2]=c[k+4>>2];c[j+8>>2]=c[k+8>>2];c[j+12>>2]=c[k+12>>2];a=a+1|0;b=t}}oA(o);l=q;return o|0}function fA(a,b){a=+a;b=+b;var c=0.0;c=a-+A(+(a/b))*b;return +(!(a<0.0)&!(a>=b)?a:c)}function gA(a,b){a=+a;b=+b;if(!(a==0.0&b==0.0)){a=+K(+a,+b);if(!(a>=0.0))a=a+6.283185307179586}else a=0.0;return +a}function hA(a,b,d){a=a|0;b=+b;d=+d;var e=0,f=0;e=c[a>>2]|0;f=a+4|0;if((e|0)<(c[f>>2]|0))f=c[a+8>>2]|0;else{c[f>>2]=2e3;e=a+8|0;f=yw(c[e>>2]|0,32e3)|0;c[e>>2]=f;e=c[a>>2]|0}c[a>>2]=e+1;h[f+(e<<4)>>3]=b;h[f+(e<<4)+8>>3]=d;return}function iA(a,b,c,d,e,f,g,h){a=+a;b=+b;c=+c;d=d|0;e=+e;f=+f;g=g|0;h=h|0;var i=0.0;d=(d|0)==0;i=d?e:f;do if((g|0)==1){e=(d?f:e)-i;e=!(e<=1.7453292519943296e-03)?e:e+6.283185307179586;if(e<3.141592653589793){jA(h,a,b,c,e+i,i);break}else{hA(h,+E(+i)*c+a,+F(+i)*c+a);break}}else hA(h,+E(+i)*c+a,+F(+i)*c+a);while(0);return}function jA(a,b,c,d,e,f){a=a|0;b=+b;c=+c;d=+d;e=+e;f=+f;var g=0,h=0.0;hA(a,+E(+e)*d+b,+F(+e)*d+c);a:do if(!(d==0.0)){while(1){if(!(f>e))break;f=f+-6.283185307179586}f=e-f;while(1){if(!(f>6.283185307179586))break;f=f+-6.283185307179586}f=f*.05263157894736842;g=1;while(1){if((g|0)==20)break a;h=e-f*+(g|0);hA(a,+E(+h)*d+b,+F(+h)*d+c);g=g+1|0}}while(0);return}function kA(a){a=a|0;_I(c[a>>2]|0);_I(a);return}function lA(){var a=0;a=vw(12)|0;c[a+4>>2]=0;c[a+8>>2]=2e3;c[a>>2]=vw(128e3)|0;return a|0}function mA(a,b,d){a=a|0;b=b|0;d=+d;var e=0,f=0,g=0,i=0;i=a+4|0;e=c[i>>2]|0;f=a+8|0;g=c[f>>2]|0;if((e|0)<(g|0))a=c[a>>2]|0;else{c[f>>2]=g<<1;e=yw(c[a>>2]|0,g<<7)|0;c[a>>2]=e;a=e;e=c[i>>2]|0}h[a+(e<<6)>>3]=+h[b>>3];h[a+(e<<6)+8>>3]=+h[b+8>>3];c[i>>2]=e+1;h[a+(e<<6)+16>>3]=d;return}function nA(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;c=+h[a>>3]-+h[b>>3];d=+h[a+8>>3]-+h[b+8>>3];return +(+C(+(d*d+c*c)))}function oA(a){a=a|0;var b=0;b=c[a+4>>2]|0;if((c[a+8>>2]|0)>(b|0))c[a>>2]=yw(c[a>>2]|0,b<<6)|0;return}function pA(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+16|0;j=k+8|0;i=k;g=k+12|0;c[g>>2]=0;h=c[d+4>>2]|0;if(!h)ma(91702,91713,203,91724);e=c[h>>2]|0;if(!e)ma(91738,91713,206,91724);f=h+8|0;if(!(c[f>>2]|0))c[f>>2]=qA(e)|0;if(!0)e=0;else{e=(Dv(c[h>>2]|0)|0)==0;e=e?0:g}if(!((vE(b,d,e)|0)<<24>>24))rA(d,e);do if(e|0){f=c[g>>2]|0;b=c[13918]|0;e=c[h>>2]|0;if(!f){c[j>>2]=e;zL(b,91781,j)|0;break}else{c[i>>2]=e;c[i+4>>2]=f;zL(b,91749,i)|0;break}}while(0);j=d+32|0;c[a>>2]=c[j>>2];c[a+4>>2]=c[j+4>>2];c[a+8>>2]=c[j+8>>2];c[a+12>>2]=c[j+12>>2];l=k;return}function qA(a){a=a|0;var b=0;b=c[42345]|0;if((b|0)!=0?(iK(b,a)|0)==0:0)a=c[42354]|0;else{_I(b);c[42345]=GL(a)|0;a=vM(169380,21352,35,36,29)|0;c[42354]=a}return a|0}function rA(b,d){b=b|0;d=d|0;var e=0,f=0.0,g=0,i=0.0,j=0,k=0.0;j=c[b+4>>2]|0;e=c[j>>2]|0;i=+h[j+16>>3];j=b+32|0;h[j>>3]=0.0;h[b+40>>3]=i*1.2;h[b+16>>3]=0.0;h[b+24>>3]=i*.1;c[b+8>>2]=0;c[b+12>>2]=0;if(pK(e,91815,4)|0)if((pK(e,91820,5)|0)!=0?(pK(e,91826,9)|0)!=0:0){g=4184;e=91836}else{g=8280;e=91872}else{g=6232;e=91853}if(d|0)c[d>>2]=e;e=c[b>>2]|0;if(e|0){f=0.0;while(1){b=a[e>>0]|0;if(!(b<<24>>24))break;k=f+ +h[g+((b&255)<<3)>>3];h[j>>3]=k;e=e+1|0;f=k}h[j>>3]=f*i}return}function sA(a,b){a=a|0;b=b|0;return iK(c[a>>2]|0,c[b>>2]|0)|0}function tA(a){a=a|0;var b=0;b=a+108|0;c[b>>2]=0;c[a+112>>2]=32;c[a+116>>2]=-1;c[a+120>>2]=14;c[a+124>>2]=58;c[a+128>>2]=20;c[a+132>>2]=0;c[a+136>>2]=0;c[a+140>>2]=0;b=Ql(b,c[4345]|0)|0;c[a+144>>2]=b;return b|0}function uA(a,b,d){a=a|0;b=b|0;d=d|0;d=$I(1,32)|0;a=c[b>>2]|0;if(a|0)c[d>>2]=GL(a)|0;a=c[b+4>>2]|0;if(a|0)c[d+4>>2]=GL(a)|0;c[d+24>>2]=c[b+24>>2]&127;h[d+16>>3]=+h[b+16>>3];c[d+8>>2]=c[b+8>>2];return d|0}function vA(a,b,d){a=a|0;b=b|0;d=d|0;_I(c[b>>2]|0);_I(c[b+4>>2]|0);_I(b);return}function wA(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0,j=0;a=c[b>>2]|0;e=c[d>>2]|0;i=(e|0)==0;if(!a)if(i)j=5;else a=-1;else if(!i){a=xJ(a,e)|0;if(!a)j=5}else a=1;do if((j|0)==5){a=c[b+4>>2]|0;e=c[d+4>>2]|0;i=(e|0)==0;if(!a){if(!i){a=-1;break}}else{if(i){a=1;break}a=xJ(a,e)|0;if(a|0)break}a=(c[b+24>>2]&127)-(c[d+24>>2]&127)|0;if(!a){g=+h[b+16>>3];f=+h[d+16>>3];if(g<f)a=-1;else a=g>f&1}}while(0);return a|0}function xA(){Wa(169420)|0;return}function yA(){var a=0,b=0;b=l;l=l+16|0;a=b;Wa(a|0)|0;l=b;return +(+((c[a+4>>2]|0)+(c[a>>2]|0)-(c[42355]|0)-(c[42356]|0)|0)*.016666666666666666)}function zA(a){a=a|0;var b=0,d=0;b=vw(16)|0;a=(a|0)>2?a:2;d=vw(a<<2)|0;c[b>>2]=d;c[b+12>>2]=d;c[b+8>>2]=d;c[b+4>>2]=d+(a<<2);return b|0}function AA(a){a=a|0;_I(c[a>>2]|0);_I(a);return}function BA(a,b){a=a|0;b=b|0;var d=0,e=0;d=a+12|0;e=c[d>>2]|0;c[d>>2]=e+4;c[e>>2]=b;if((c[d>>2]|0)>>>0>=(c[a+4>>2]|0)>>>0)c[d>>2]=c[a>>2];return}function CA(a){a=a|0;var b=0,d=0,e=0;d=a+8|0;b=c[d>>2]|0;if((b|0)!=(c[a+12>>2]|0)){e=b+4|0;c[d>>2]=e;b=c[b>>2]|0;if(e>>>0>=(c[a+4>>2]|0)>>>0)c[d>>2]=c[a>>2]}else b=0;return b|0}function DA(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0;i=l;l=l+16|0;g=i;if(((d|0)!=0?(h=Jm(b,d)|0,(h|0)!=0):0)?(a[h>>0]|0)!=0:0){d=BL(h,g,10)|0;e=(h|0)==(c[g>>2]|0)?e:(d|0)<(f|0)?f:d}l=i;return e|0}function EA(b,d,e,f){b=b|0;d=d|0;e=+e;f=+f;var g=0,h=0,i=0,j=0.0;i=l;l=l+16|0;g=i;if(((b|0)!=0&(d|0)!=0?(h=Jm(b,d)|0,(h|0)!=0):0)?(a[h>>0]|0)!=0:0){j=+tM(h,g);e=(h|0)==(c[g>>2]|0)?e:j<f?f:j}l=i;return +e}function FA(a,b,c){a=a|0;b=b|0;c=c|0;if((a|0)!=0&(b|0)!=0)c=Jm(a,b)|0;return c|0}function GA(b,c,d){b=b|0;c=c|0;d=d|0;b=FA(b,c,d)|0;if((b|0)!=0?(a[b>>0]|0)!=0:0)d=b;return d|0}function HA(a,b,c){a=a|0;b=b|0;c=c|0;if(!b)a=c&255;else a=IA(Jm(a,b)|0)|0;return a|0}function IA(a){a=a|0;return JA(a,0)|0}function JA(b,c){b=b|0;c=c|0;var d=0;if((b|0)!=0?(d=a[b>>0]|0,d<<24>>24!=0):0)if((iK(b,122100)|0)!=0?(iK(b,92682)|0)!=0:0)if((iK(b,92685)|0)!=0?(iK(b,92690)|0)!=0:0){if(((d<<24>>24)+-48|0)>>>0<10)c=(rM(b)|0)&255}else c=1;else c=0;return c|0}function KA(a){a=a|0;var b=0,d=0;while(1){b=(c[a+16>>2]|0)+220|0;d=c[b>>2]|0;if(!((d|0)!=(a|0)&(d|0)!=0))break;a=c[(c[d+16>>2]|0)+220>>2]|0;if(!a){a=d;continue}c[b>>2]=a}return a|0}function LA(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;if((a|0)!=(b|0)){d=c[a+16>>2]|0;e=d+220|0;if(!(c[e>>2]|0)){c[e>>2]=a;c[d+216>>2]=1}else a=KA(a)|0;d=c[b+16>>2]|0;e=d+220|0;if(!(c[e>>2]|0)){c[e>>2]=b;c[d+216>>2]=1}else{d=KA(b)|0;b=d;d=c[d+16>>2]|0}g=a+16|0;e=c[g>>2]|0;f=b+16|0;h=(c[e+120>>2]|0)>(c[d+120>>2]|0);a=h?b:a;c[(h?e:d)+220>>2]=a;e=(c[(h?f:g)>>2]|0)+216|0;c[e>>2]=(c[e>>2]|0)+(c[(c[(h?g:f)>>2]|0)+216>>2]|0)}return a|0}function MA(b){b=b|0;b=c[b+16>>2]|0;c[b+216>>2]=1;c[b+220>>2]=0;a[b+159>>0]=0;return}function NA(a,b){a=a|0;b=b|0;if((KA(a)|0)==(a|0)){a=c[a+16>>2]|0;c[a+220>>2]=b;b=(c[b+16>>2]|0)+216|0;c[b>>2]=(c[b>>2]|0)+(c[a+216>>2]|0);return}else ma(92702,92694,194,92718)}function OA(a,b){a=a|0;b=b|0;var d=0.0;b=c[(c[b+16>>2]|0)+132>>2]|0;d=+h[b+8>>3]*72.0;h[a>>3]=+h[b>>3]*72.0;h[a+8>>3]=d;return}function PA(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=+e;f=f|0;g=g|0;var i=0,j=0,k=0,m=0.0,n=0,o=0,p=0;o=l;l=l+576|0;n=o;i=0;while(1){if((i|0)>(d|0))break;k=n+(i<<4)|0;j=b+(i<<4)|0;c[k>>2]=c[j>>2];c[k+4>>2]=c[j+4>>2];c[k+8>>2]=c[j+8>>2];c[k+12>>2]=c[j+12>>2];i=i+1|0}m=1.0-e;i=1;while(1){if((i|0)>(d|0))break;j=d-i|0;k=i+-1|0;b=0;while(1){if((b|0)>(j|0))break;p=b+1|0;h[n+(i*96|0)+(b<<4)>>3]=+h[n+(k*96|0)+(p<<4)>>3]*e+ +h[n+(k*96|0)+(b<<4)>>3]*m;h[n+(i*96|0)+(b<<4)+8>>3]=+h[n+(k*96|0)+(p<<4)+8>>3]*e+ +h[n+(k*96|0)+(b<<4)+8>>3]*m;b=p}i=i+1|0}a:do if(f|0){i=0;while(1){if((i|0)>(d|0))break a;p=f+(i<<4)|0;k=n+(i*96|0)|0;c[p>>2]=c[k>>2];c[p+4>>2]=c[k+4>>2];c[p+8>>2]=c[k+8>>2];c[p+12>>2]=c[k+12>>2];i=i+1|0}}while(0);b:do if(g|0){i=0;while(1){if((i|0)>(d|0))break b;p=g+(i<<4)|0;f=n+((d-i|0)*96|0)+(i<<4)|0;c[p>>2]=c[f>>2];c[p+4>>2]=c[f+4>>2];c[p+8>>2]=c[f+8>>2];c[p+12>>2]=c[f+12>>2];i=i+1|0}}while(0);p=n+(d*96|0)|0;c[a>>2]=c[p>>2];c[a+4>>2]=c[p+4>>2];c[a+8>>2]=c[p+8>>2];c[a+12>>2]=c[p+12>>2];l=o;return}function QA(b){b=b|0;var d=0,e=0,f=0,g=0;e=0;do{d=c[42359]|0;f=d+1024|0;if((d-e|0)<1024){c[42359]=f;f=yw(c[42360]|0,f)|0;c[42360]=f;d=c[42359]|0}else f=c[42360]|0;d=gL(f+e|0,d-e|0,b)|0;if(!d){g=6;break}e=(rJ(d)|0)+e|0;d=c[42360]|0}while((a[d+(e+-1)>>0]|0)!=10);if((g|0)==6)d=c[42360]|0;return ((e|0)>0?d:0)|0}function RA(b){b=b|0;var d=0,e=0,f=0;f=l;l=l+16|0;do if((b|0)!=0?(a[b>>0]|0)!=0:0)if(!0){d=c[42178]|0;e=c[42362]|0;if((c[42361]|0)==(d|0))d=e;else{if(e){_I(c[e>>2]|0);_I(c[42362]|0);c[42362]=0;d=c[42178]|0}c[42361]=d;if(!d)break;if(!(a[d>>0]|0))break;d=SA(d)|0;c[42362]=d}if(!((a[b>>0]|0)!=47&(d|0)!=0))break;b=TA(d,c[42363]|0,b)|0;break}else S();else b=0;while(0);l=f;return b|0}function SA(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;e=0;f=0;g=0;b=GL(a)|0;d=0;while(1){b=DL(b,93017)|0;if(!b)break;a=(g<<2)+8|0;if(!f)a=ww(a)|0;else a=yw(d,a)|0;c[a+(g<<2)>>2]=b;f=rJ(b)|0;e=e>>>0>f>>>0?e:f;f=a;g=g+1|0;b=0;d=a}c[f+(g<<2)>>2]=0;c[42363]=e;return f|0}function TA(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;g=l;l=l+16|0;e=g;h=c[42364]|0;c[42364]=aJ(h,b+2+(rJ(d)|0)|0)|0;while(1){b=c[a>>2]|0;if(!b){a=0;break}h=c[42364]|0;c[e>>2]=b;c[e+4>>2]=93015;c[e+8>>2]=d;pL(h,93008,e)|0;if(!($L(c[42364]|0,4)|0)){f=4;break}else a=a+4|0}if((f|0)==4)a=c[42364]|0;l=g;return a|0}function UA(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;g=(b|0)==0;f=0;while(1){h=c[d+(f<<2)>>2]|0;if(!h)break;if((!g?(a[b>>0]|0)==(a[h>>0]|0):0)?(xJ(b,h)|0)==0:0)break;f=f+1|0}return c[e+(f<<2)>>2]|0}function VA(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0.0,j=0.0,k=0.0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,C=0;z=l;l=l+80|0;x=z+16|0;y=z;u=c[b+4>>2]|0;v=c[b>>2]|0;w=d+8|0;f=0;e=-1;g=1.e+38;b=-1;while(1){if((f|0)>=(u|0))break;s=c[v+(f*48|0)>>2]|0;t=c[v+(f*48|0)+4>>2]|0;r=0;while(1){if((r|0)>=(t|0))break;q=+h[s+(r<<4)>>3]-+h[d>>3];p=+h[s+(r<<4)+8>>3]-+h[w>>3];q=p*p+q*q;A=(e|0)==-1|q<g;C=A?r:e;r=r+1|0;b=A?f:b;e=C;g=A?q:g}f=f+1|0}f=c[v+(b*48|0)>>2]|0;e=e+(((e|0)==((c[v+(b*48|0)+4>>2]|0)+-1|0))<<31>>31)|0;e=e-((e|0)%3|0)|0;b=0;while(1){if((b|0)==4)break;C=b+e|0;h[x+(b<<4)>>3]=+h[f+(C<<4)>>3];h[x+(b<<4)+8>>3]=+h[f+(C<<4)+8>>3];b=b+1|0}q=+h[d>>3];k=+h[x>>3]-q;o=+h[w>>3];p=+h[x+8>>3]-o;j=+h[x+48>>3]-q;n=+h[x+56>>3]-o;b=y+8|0;g=1.0;i=0.0;j=n*n+j*j;k=p*p+k*k;while(1){p=(g+i)*.5;PA(y,x,3,p,0,0);m=+h[y>>3];n=+h[b>>3];if(+B(+(k-j))<1.0)break;if(+B(+(g-i))<1.0e-05)break;C=k<j;m=m-q;n=n-o;n=n*n+m*m;g=C?p:g;i=C?i:p;j=C?n:j;k=C?k:n}h[a>>3]=m;h[a+8>>3]=n;l=z;return}function WA(b){b=b|0;var d=0.0,e=0,f=0,g=0,i=0,j=0,k=0,l=0;d=+EA(b,c[42190]|0,.75,.01);g=b+16|0;h[(c[g>>2]|0)+32>>3]=d;d=+EA(b,c[42189]|0,.5,.02);h[(c[g>>2]|0)+40>>3]=d;l=Qy(GA(b,c[42191]|0,93019)|0,b)|0;c[(c[g>>2]|0)+8>>2]=l;l=Jm(b,c[42198]|0)|0;d=+EA(b,c[42194]|0,14.0,1.0);e=GA(b,c[42195]|0,93027)|0;f=GA(b,c[42196]|0,122106)|0;i=(cp(l)|0)!=0;k=(By(b)|0)==2;i=lw(b,l,(k?4:0)|(i?2:0),d,e,f)|0;c[(c[g>>2]|0)+104>>2]=i;i=c[42199]|0;if((i|0?(j=Jm(b,i)|0,j|0):0)?a[j>>0]|0:0){l=(cp(j)|0)!=0;l=lw(b,j,l?2:0,d,e,f)|0;c[(c[g>>2]|0)+108>>2]=l;l=(c[(ro(b)|0)+16>>2]|0)+113|0;a[l>>0]=a[l>>0]|16}k=(DA(b,c[42202]|0,0,0)|0)&255;l=c[g>>2]|0;a[l+144>>0]=k;gb[c[c[(c[l+8>>2]|0)+4>>2]>>2]&127](b);return}function XA(b){b=b|0;var d=0,e=0,f=0,g=0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0;v=l;l=l+112|0;m=v+96|0;n=v+80|0;s=v+40|0;u=v;r=b+48|0;p=ro(c[((c[b>>2]&3|0)==3?b:r)+40>>2]|0)|0;g=m+8|0;c[g>>2]=0;o=n+8|0;c[o>>2]=0;d=c[42226]|0;if(((d|0)!=0?(e=Jm(b,d)|0,(e|0)!=0):0)?(a[e>>0]|0)!=0:0){YA(b,m);t=(cp(e)|0)!=0;i=+h[m>>3];f=c[g>>2]|0;d=c[m+12>>2]|0;e=lw(b,e,t?2:0,i,f,d)|0;t=b+16|0;c[(c[t>>2]|0)+96>>2]=e;e=(c[p+16>>2]|0)+113|0;a[e>>0]=a[e>>0]|1;e=IA(FA(b,c[42236]|0,122100)|0)|0;a[(c[t>>2]|0)+114>>0]=e;t=1;e=f}else{t=0;d=0;i=0.0;e=0}f=c[42227]|0;if((f|0?(j=Jm(b,f)|0,j|0):0)?a[j>>0]|0:0){if(!e){YA(b,m);i=+h[m>>3];e=c[g>>2]|0;d=c[m+12>>2]|0}g=(cp(j)|0)!=0;j=lw(b,j,g?2:0,i,e,d)|0;c[(c[b+16>>2]|0)+108>>2]=j;j=(c[p+16>>2]|0)+113|0;a[j>>0]=a[j>>0]|32}d=c[42241]|0;if(((d|0)!=0?(k=Jm(b,d)|0,(k|0)!=0):0)?(a[k>>0]|0)!=0:0){ZA(b,m,n);j=(cp(k)|0)!=0;i=+h[n>>3];d=c[o>>2]|0;e=c[n+12>>2]|0;k=lw(b,k,j?2:0,i,d,e)|0;c[(c[b+16>>2]|0)+100>>2]=k;k=(c[p+16>>2]|0)+113|0;a[k>>0]=a[k>>0]|2}else{e=0;i=0.0;d=0}f=c[42242]|0;if((f|0?(q=Jm(b,f)|0,q|0):0)?a[q>>0]|0:0){if(!d){ZA(b,m,n);e=c[n+12>>2]|0;i=+h[n>>3];d=c[o>>2]|0}o=(cp(q)|0)!=0;q=lw(b,q,o?2:0,i,d,e)|0;c[(c[b+16>>2]|0)+104>>2]=q;q=(c[p+16>>2]|0)+113|0;a[q>>0]=a[q>>0]|4}d=Im(b,96242)|0;d=d|0?d:174181;if(a[d>>0]|0)a[(c[(c[((c[b>>2]&3|0)==3?b:r)+40>>2]|0)+16>>2]|0)+145>>0]=1;g=b+16|0;f=(c[g>>2]|0)+16|0;e=c[((c[b>>2]&3|0)==3?b:r)+40>>2]|0;_A(s,c[(c[(c[(c[e+16>>2]|0)+8>>2]|0)+4>>2]|0)+8>>2]|0,e,d);d=s;e=f+40|0;do{c[f>>2]=c[d>>2];f=f+4|0;d=d+4|0}while((f|0)<(e|0));if(($A(b,c[42248]|0)|0)<<24>>24)a[(c[g>>2]|0)+46>>0]=0;d=Im(b,96251)|0;d=d|0?d:174181;if(!(a[d>>0]|0))e=b+-48|0;else{e=b+-48|0;a[(c[(c[((c[b>>2]&3|0)==2?b:e)+40>>2]|0)+16>>2]|0)+145>>0]=1}f=(c[g>>2]|0)+56|0;e=c[((c[b>>2]&3|0)==2?b:e)+40>>2]|0;_A(u,c[(c[(c[(c[e+16>>2]|0)+8>>2]|0)+4>>2]|0)+8>>2]|0,e,d);d=u;e=f+40|0;do{c[f>>2]=c[d>>2];f=f+4|0;d=d+4|0}while((f|0)<(e|0));if(($A(b,c[42249]|0)|0)<<24>>24)a[(c[g>>2]|0)+86>>0]=0;l=v;return t|0}function YA(a,b){a=a|0;b=b|0;h[b>>3]=+EA(a,c[42223]|0,14.0,1.0);c[b+8>>2]=GA(a,c[42224]|0,93027)|0;c[b+12>>2]=GA(a,c[42225]|0,122106)|0;return}function ZA(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=b+8|0;if(!(c[e>>2]|0))YA(a,b);h[d>>3]=+EA(a,c[42243]|0,+h[b>>3],1.0);c[d+8>>2]=GA(a,c[42244]|0,c[e>>2]|0)|0;c[d+12>>2]=GA(a,c[42245]|0,c[b+12>>2]|0)|0;return}function _A(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+128|0;k=m+80|0;h=m+40|0;g=m;if((f|0)!=0?(j=WJ(f,58)|0,(j|0)!=0):0){a[j>>0]=0;i=j+1|0;kb[d&31](h,e,f,i);e=k;g=h;d=e+36|0;do{c[e>>2]=c[g>>2];e=e+4|0;g=g+4|0}while((e|0)<(d|0));a[j>>0]=58;f=i}else{kb[d&31](g,e,f,0);e=k;d=e+36|0;do{c[e>>2]=c[g>>2];e=e+4|0;g=g+4|0}while((e|0)<(d|0))}e=b;g=k;d=e+36|0;do{c[e>>2]=c[g>>2];e=e+4|0;g=g+4|0}while((e|0)<(d|0));c[b+36>>2]=f;l=m;return}function $A(b,c){b=b|0;c=c|0;var d=0;if(((c|0)!=0?(d=Jm(b,c)|0,(d|0)!=0):0)?(a[d>>0]|0)!=0:0)b=(IA(d)|0)<<24>>24==0&1;else b=0;return b|0}function aB(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0.0,o=0.0;k=l;l=l+32|0;i=k;j=c[b+8>>2]|0;d=c[b+4>>2]|0;d=(c[b+44>>2]|0)+((O((d|0)>1?d+-1|0:0,j)|0)<<4)|0;e=i+16|0;c[e>>2]=c[d>>2];c[e+4>>2]=c[d+4>>2];c[e+8>>2]=c[d+8>>2];c[e+12>>2]=c[d+12>>2];c[i>>2]=c[d>>2];c[i+4>>2]=c[d+4>>2];c[i+8>>2]=c[d+8>>2];c[i+12>>2]=c[d+12>>2];f=i+8|0;g=i+24|0;b=1;while(1){if((b|0)>=(j|0))break;m=d+(b<<4)|0;o=+h[m>>3];h[i>>3]=+h[(+h[i>>3]<o?i:m)>>3];n=+h[m+8>>3];h[f>>3]=+h[(+h[f>>3]<n?i:m)+8>>3];h[e>>3]=+h[(+h[e>>3]>o?e:m)>>3];h[g>>3]=+h[(+h[g>>3]>n?e:m)+8>>3];b=b+1|0}c[a>>2]=c[i>>2];c[a+4>>2]=c[i+4>>2];c[a+8>>2]=c[i+8>>2];c[a+12>>2]=c[i+12>>2];c[a+16>>2]=c[i+16>>2];c[a+20>>2]=c[i+20>>2];c[a+24>>2]=c[i+24>>2];c[a+28>>2]=c[i+28>>2];l=k;return}function bB(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;d=l;l=l+64|0;g=d+32|0;e=d;f=c[a+16>>2]|0;a=f+16|0;f=c[f+116>>2]&1;c[g>>2]=c[a>>2];c[g+4>>2]=c[a+4>>2];c[g+8>>2]=c[a+8>>2];c[g+12>>2]=c[a+12>>2];c[g+16>>2]=c[a+16>>2];c[g+20>>2]=c[a+20>>2];c[g+24>>2]=c[a+24>>2];c[g+28>>2]=c[a+28>>2];cB(e,g,b,f);c[a>>2]=c[e>>2];c[a+4>>2]=c[e+4>>2];c[a+8>>2]=c[e+8>>2];c[a+12>>2]=c[e+12>>2];c[a+16>>2]=c[e+16>>2];c[a+20>>2]=c[e+20>>2];c[a+24>>2]=c[e+24>>2];c[a+28>>2]=c[e+28>>2];l=d;return}function cB(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0.0,j=0,k=0.0,l=0.0,m=0.0;g=+h[d+56>>3];l=+h[d+64>>3];j=e<<24>>24==0;k=+h[d+24>>3];i=+h[d+32>>3];m=(j?k:i)*.5;f=g-m;g=m+g;if(f<+h[b>>3])h[b>>3]=f;e=b+16|0;if(g>+h[e>>3])h[e>>3]=g;g=(j?i:k)*.5;f=l-g;g=g+l;e=b+8|0;if(f<+h[e>>3])h[e>>3]=f;e=b+24|0;if(g>+h[e>>3])h[e>>3]=g;c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];c[a+16>>2]=c[b+16>>2];c[a+20>>2]=c[b+20>>2];c[a+24>>2]=c[b+24>>2];c[a+28>>2]=c[b+28>>2];return}function dB(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0.0,N=0.0,O=0.0,P=0.0;L=l;l=l+448|0;H=L+416|0;t=L+384|0;u=L+304|0;K=L+256|0;G=L+192|0;B=L+144|0;C=L+96|0;d=L+400|0;e=L+368|0;f=L+352|0;g=L+336|0;v=L+288|0;w=L+224|0;x=L+160|0;y=L+112|0;z=L+64|0;A=L+32|0;I=L;J=b+16|0;if((mn(b)|0)==0?(c[(c[J>>2]|0)+180>>2]|0)==0:0){eB(d,0.0,0.0);c[K>>2]=c[d>>2];c[K+4>>2]=c[d+4>>2];c[K+8>>2]=c[d+8>>2];c[K+12>>2]=c[d+12>>2];K=K+16|0;eB(e,0.0,0.0);c[K>>2]=c[e>>2];c[K+4>>2]=c[e+4>>2];c[K+8>>2]=c[e+8>>2];c[K+12>>2]=c[e+12>>2]}else{eB(f,2147483647.0,2147483647.0);c[K>>2]=c[f>>2];c[K+4>>2]=c[f+4>>2];c[K+8>>2]=c[f+8>>2];c[K+12>>2]=c[f+12>>2];F=K+16|0;eB(g,-2147483647.0,-2147483647.0);c[F>>2]=c[g>>2];c[F+4>>2]=c[g+4>>2];c[F+8>>2]=c[g+8>>2];c[F+12>>2]=c[g+12>>2];o=C+8|0;p=u+16|0;D=K+8|0;q=u+8|0;E=K+24|0;r=u+24|0;s=B+8|0;n=co(b)|0;while(1){if(!n)break;OA(B,n);d=n+16|0;m=c[d>>2]|0;h[C>>3]=(+h[m+96>>3]+ +h[m+88>>3])*.5;h[o>>3]=+h[m+80>>3]*.5;c[t>>2]=c[B>>2];c[t+4>>2]=c[B+4>>2];c[t+8>>2]=c[B+8>>2];c[t+12>>2]=c[B+12>>2];c[H>>2]=c[C>>2];c[H+4>>2]=c[C+4>>2];c[H+8>>2]=c[C+8>>2];c[H+12>>2]=c[C+12>>2];fB(u,t,H);c[t>>2]=c[B>>2];c[t+4>>2]=c[B+4>>2];c[t+8>>2]=c[B+8>>2];c[t+12>>2]=c[B+12>>2];c[H>>2]=c[C>>2];c[H+4>>2]=c[C+4>>2];c[H+8>>2]=c[C+8>>2];c[H+12>>2]=c[C+12>>2];gB(v,t,H);c[p>>2]=c[v>>2];c[p+4>>2]=c[v+4>>2];c[p+8>>2]=c[v+8>>2];c[p+12>>2]=c[v+12>>2];h[K>>3]=+h[(+h[K>>3]<+h[u>>3]?K:u)>>3];h[D>>3]=+h[(+h[D>>3]<+h[q>>3]?K:u)+8>>3];h[F>>3]=+h[(+h[F>>3]>+h[p>>3]?K:u)+16>>3];h[E>>3]=+h[(+h[E>>3]>+h[r>>3]?K:u)+24>>3];d=c[(c[d>>2]|0)+108>>2]|0;if(d|0?a[d+81>>0]|0:0){m=c[(c[J>>2]|0)+116>>2]&1;c[H>>2]=c[K>>2];c[H+4>>2]=c[K+4>>2];c[H+8>>2]=c[K+8>>2];c[H+12>>2]=c[K+12>>2];c[H+16>>2]=c[K+16>>2];c[H+20>>2]=c[K+20>>2];c[H+24>>2]=c[K+24>>2];c[H+28>>2]=c[K+28>>2];cB(w,H,d,m);c[K>>2]=c[w>>2];c[K+4>>2]=c[w+4>>2];c[K+8>>2]=c[w+8>>2];c[K+12>>2]=c[w+12>>2];c[K+16>>2]=c[w+16>>2];c[K+20>>2]=c[w+20>>2];c[K+24>>2]=c[w+24>>2];c[K+28>>2]=c[w+28>>2]}m=Pm(b,n)|0;while(1){if(!m)break;k=m+16|0;d=c[k>>2]|0;j=d+8|0;e=c[j>>2]|0;if(e|0){i=0;while(1){if((i|0)<(c[e+4>>2]|0))g=0;else break;while(1){f=c[e>>2]|0;if((g|0)>=(c[f+(i*48|0)+4>>2]|0))break;e=(c[f+(i*48|0)>>2]|0)+(g<<4)|0;c[B>>2]=c[e>>2];c[B+4>>2]=c[e+4>>2];c[B+8>>2]=c[e+8>>2];c[B+12>>2]=c[e+12>>2];N=+h[B>>3];h[K>>3]=+h[(+h[K>>3]<N?K:B)>>3];M=+h[s>>3];h[D>>3]=+h[(+h[D>>3]<M?K:B)+8>>3];h[F>>3]=+h[(+h[F>>3]>N?F:B)>>3];h[E>>3]=+h[(+h[E>>3]>M?F:B)+8>>3];g=g+1|0;e=c[j>>2]|0}i=i+1|0}e=c[d+96>>2]|0;if((e|0)!=0?(a[e+81>>0]|0)!=0:0){d=c[(c[J>>2]|0)+116>>2]&1;c[H>>2]=c[K>>2];c[H+4>>2]=c[K+4>>2];c[H+8>>2]=c[K+8>>2];c[H+12>>2]=c[K+12>>2];c[H+16>>2]=c[K+16>>2];c[H+20>>2]=c[K+20>>2];c[H+24>>2]=c[K+24>>2];c[H+28>>2]=c[K+28>>2];cB(x,H,e,d);c[K>>2]=c[x>>2];c[K+4>>2]=c[x+4>>2];c[K+8>>2]=c[x+8>>2];c[K+12>>2]=c[x+12>>2];c[K+16>>2]=c[x+16>>2];c[K+20>>2]=c[x+20>>2];c[K+24>>2]=c[x+24>>2];c[K+28>>2]=c[x+28>>2];d=c[k>>2]|0}e=c[d+100>>2]|0;if((e|0)!=0?(a[e+81>>0]|0)!=0:0){d=c[(c[J>>2]|0)+116>>2]&1;c[H>>2]=c[K>>2];c[H+4>>2]=c[K+4>>2];c[H+8>>2]=c[K+8>>2];c[H+12>>2]=c[K+12>>2];c[H+16>>2]=c[K+16>>2];c[H+20>>2]=c[K+20>>2];c[H+24>>2]=c[K+24>>2];c[H+28>>2]=c[K+28>>2];cB(y,H,e,d);c[K>>2]=c[y>>2];c[K+4>>2]=c[y+4>>2];c[K+8>>2]=c[y+8>>2];c[K+12>>2]=c[y+12>>2];c[K+16>>2]=c[y+16>>2];c[K+20>>2]=c[y+20>>2];c[K+24>>2]=c[y+24>>2];c[K+28>>2]=c[y+28>>2];d=c[k>>2]|0}e=c[d+104>>2]|0;if((e|0)!=0?(a[e+81>>0]|0)!=0:0){d=c[(c[J>>2]|0)+116>>2]&1;c[H>>2]=c[K>>2];c[H+4>>2]=c[K+4>>2];c[H+8>>2]=c[K+8>>2];c[H+12>>2]=c[K+12>>2];c[H+16>>2]=c[K+16>>2];c[H+20>>2]=c[K+20>>2];c[H+24>>2]=c[K+24>>2];c[H+28>>2]=c[K+28>>2];cB(z,H,e,d);c[K>>2]=c[z>>2];c[K+4>>2]=c[z+4>>2];c[K+8>>2]=c[z+8>>2];c[K+12>>2]=c[z+12>>2];c[K+16>>2]=c[z+16>>2];c[K+20>>2]=c[z+20>>2];c[K+24>>2]=c[z+24>>2];c[K+28>>2]=c[z+28>>2];d=c[k>>2]|0}d=c[d+108>>2]|0;if(d|0?a[d+81>>0]|0:0){k=c[(c[J>>2]|0)+116>>2]&1;c[H>>2]=c[K>>2];c[H+4>>2]=c[K+4>>2];c[H+8>>2]=c[K+8>>2];c[H+12>>2]=c[K+12>>2];c[H+16>>2]=c[K+16>>2];c[H+20>>2]=c[K+20>>2];c[H+24>>2]=c[K+24>>2];c[H+28>>2]=c[K+28>>2];cB(A,H,d,k);c[K>>2]=c[A>>2];c[K+4>>2]=c[A+4>>2];c[K+8>>2]=c[A+8>>2];c[K+12>>2]=c[A+12>>2];c[K+16>>2]=c[A+16>>2];c[K+20>>2]=c[A+20>>2];c[K+24>>2]=c[A+24>>2];c[K+28>>2]=c[A+28>>2]}}m=Rm(b,m)|0}n=eo(b,n)|0}d=c[J>>2]|0;f=c[d+180>>2]|0;g=d+184|0;i=G+8|0;j=G+16|0;k=G+24|0;e=1;while(1){if((e|0)>(f|0))break;P=+h[(c[(c[(c[g>>2]|0)+(e<<2)>>2]|0)+16>>2]|0)+16>>3];h[G>>3]=P;C=c[(c[(c[g>>2]|0)+(e<<2)>>2]|0)+16>>2]|0;O=+h[C+24>>3];h[i>>3]=O;M=+h[C+32>>3];h[j>>3]=M;N=+h[C+40>>3];h[k>>3]=N;h[K>>3]=+h[(+h[K>>3]<P?K:G)>>3];h[D>>3]=+h[(+h[D>>3]<O?K:G)+8>>3];h[F>>3]=+h[(+h[F>>3]>M?K:G)+16>>3];h[E>>3]=+h[(+h[E>>3]>N?K:G)+24>>3];e=e+1|0}e=c[d+12>>2]|0;if((e|0)!=0?(a[e+81>>0]|0)!=0:0){d=c[d+116>>2]&1;c[H>>2]=c[K>>2];c[H+4>>2]=c[K+4>>2];c[H+8>>2]=c[K+8>>2];c[H+12>>2]=c[K+12>>2];c[H+16>>2]=c[K+16>>2];c[H+20>>2]=c[K+20>>2];c[H+24>>2]=c[K+24>>2];c[H+28>>2]=c[K+28>>2];cB(I,H,e,d);c[K>>2]=c[I>>2];c[K+4>>2]=c[I+4>>2];c[K+8>>2]=c[I+8>>2];c[K+12>>2]=c[I+12>>2];c[K+16>>2]=c[I+16>>2];c[K+20>>2]=c[I+20>>2];c[K+24>>2]=c[I+24>>2];c[K+28>>2]=c[I+28>>2];d=c[J>>2]|0}J=d+16|0;c[J>>2]=c[K>>2];c[J+4>>2]=c[K+4>>2];c[J+8>>2]=c[K+8>>2];c[J+12>>2]=c[K+12>>2];c[J+16>>2]=c[K+16>>2];c[J+20>>2]=c[K+20>>2];c[J+24>>2]=c[K+24>>2];c[J+28>>2]=c[K+28>>2]}l=L;return}function eB(a,b,c){a=a|0;b=+b;c=+c;h[a>>3]=b;h[a+8>>3]=c;return}function fB(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=+h[b+8>>3]-+h[c+8>>3];h[a>>3]=+h[b>>3]-+h[c>>3];h[a+8>>3]=d;return}function gB(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=+h[c+8>>3]+ +h[b+8>>3];h[a>>3]=+h[c>>3]+ +h[b>>3];h[a+8>>3]=d;return}function hB(a){a=a|0;if((c[a+60>>2]|0)==(a|0))a=1;else a=(pK(Dn(a)|0,93039,7)|0)==0&1;return a|0}function iB(a){a=a|0;var b=0;b=Ql(22612,c[4345]|0)|0;lB(a,b);return b|0}function jB(a,b){a=a|0;b=b|0;a=bb[c[a>>2]&31](a,b,512)|0;if(!a)a=0;else a=c[a+12>>2]|0;return a|0}function kB(a,b,c){a=a|0;b=b|0;c=c|0;c=an(ro(b)|0,b,c,0,1)|0;No(c,122254,176,1)|0;Mm(a,c)|0;return c|0}function lB(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;h=l;l=l+16|0;g=h;f=a+16|0;e=1;while(1){a=c[f>>2]|0;if((e|0)>(c[a+180>>2]|0))break;a=c[(c[a+184>>2]|0)+(e<<2)>>2]|0;d=Dn(a)|0;if(!(bb[c[b>>2]&31](b,d,512)|0)){i=vw(16)|0;c[i+8>>2]=d;c[i+12>>2]=a;bb[c[b>>2]&31](b,i,1)|0}else{c[g>>2]=d;_l(0,93062,g)|0}lB(a,b);e=e+1|0}l=h;return}function mB(a,b,c){a=a|0;b=b|0;c=c|0;_I(b);return}function nB(a){a=a|0;var b=0,c=0,d=0;d=Ip(a,93047,1)|0;No(d,122277,280,1)|0;b=co(a)|0;while(1){if(!b)break;c=Pm(a,b)|0;while(1){if(!c)break;oB(c,d);c=Rm(a,c)|0}b=eo(a,b)|0}b=co(d)|0;while(1){if(!b)break;c=eo(d,b)|0;pB(b);qo(a,b)|0;b=c}ln(d)|0;return}function oB(b,d){b=b|0;d=d|0;var e=0,f=0;e=c[b>>2]&3;f=c[((e|0)==3?b:b+48|0)+40>>2]|0;e=c[((e|0)==2?b:b+-48|0)+40>>2]|0;if(!((a[(c[f+16>>2]|0)+118>>0]|0)==0?!(a[(c[e+16>>2]|0)+118>>0]|0):0)){f=qB(f,d)|0;e=kB(b,f,qB(e,d)|0)|0;f=c[b+16>>2]|0;d=f+8|0;e=c[e+16>>2]|0;c[e+8>>2]=c[d>>2];c[d>>2]=0;d=f+96|0;c[e+96>>2]=c[d>>2];c[d>>2]=0;d=f+108|0;c[e+108>>2]=c[d>>2];c[d>>2]=0;d=f+100|0;c[e+100>>2]=c[d>>2];c[d>>2]=0;f=f+104|0;c[e+104>>2]=c[f>>2];c[f>>2]=0;rB(b)}return}function pB(a){a=a|0;var b=0,d=0,e=0;e=a+16|0;b=c[e>>2]|0;d=c[b+132>>2]|0;if(d){_I(d);b=c[e>>2]|0}d=c[b+8>>2]|0;if(d){gb[c[(c[d+4>>2]|0)+4>>2]&127](a);b=c[e>>2]|0}ow(c[b+104>>2]|0);ow(c[(c[e>>2]|0)+108>>2]|0);Po(a,122241)|0;return}function qB(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;f=ro(b)|0;a:do if(a[(c[b+16>>2]|0)+118>>0]|0){io(d,b,1)|0;b=WJ(Dn(b)|0,58)|0;if(!b)ma(96030,92694,1225,93114);d=b+1|0;b=no(f,d,0)|0;if(!b){b=no(f,d,1)|0;No(b,122241,304,1)|0;d=Dm(f,1,0)|0;while(1){if(!d)break a;g=Jm(b,d)|0;e=c[d+12>>2]|0;if((g|0)!=(e|0))Cm(b,d,e)|0;d=Dm(f,1,d)|0}}}while(0);return b|0}function rB(a){a=a|0;var b=0;b=a+16|0;_I(c[(c[b>>2]|0)+144>>2]|0);sB(a);ow(c[(c[b>>2]|0)+96>>2]|0);ow(c[(c[b>>2]|0)+108>>2]|0);ow(c[(c[b>>2]|0)+100>>2]|0);ow(c[(c[b>>2]|0)+104>>2]|0);Po(a,122254)|0;return}function sB(a){a=a|0;var b=0,d=0,e=0;e=a+16|0;a=c[e>>2]|0;b=c[a+8>>2]|0;if(b){d=0;while(1){a=c[b>>2]|0;if((d|0)>=(c[b+4>>2]|0))break;_I(c[a+(d*48|0)>>2]|0);d=d+1|0;b=c[(c[e>>2]|0)+8>>2]|0}_I(a);_I(c[(c[e>>2]|0)+8>>2]|0);a=c[e>>2]|0}c[a+8>>2]=0;return}function tB(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0;e=ym(a,b,c,0)|0;if(!e)e=ym(a,b,c,d)|0;return e|0}function uB(a,b){a=a|0;b=b|0;return xJ(c[a>>2]|0,c[b>>2]|0)|0}function vB(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;q=l;l=l+1072|0;k=q+8|0;j=q;i=q+16|0;o=q+24|0;c[i>>2]=b;if((c[42365]|0)!=(d|0)){c[42365]=d;a[174080]=0}cm(o,1024,q+40|0);p=o+4|0;n=o+8|0;while(1){f=b+1|0;c[i>>2]=f;e=a[b>>0]|0;if(!(e<<24>>24))break;do if((e&255)<192)if(e<<24>>24==38){f=xB(i)|0;if(!f)e=38;else{if(f>>>0<127){e=f&255;break}b=c[p>>2]|0;e=b>>>0>=(c[n>>2]|0)>>>0;if(f>>>0<2047){if(e){dm(o,1)|0;b=c[p>>2]|0}c[p>>2]=b+1;a[b>>0]=f>>>6|192;e=(f&63|128)&255;break}if(e){dm(o,1)|0;b=c[p>>2]|0}c[p>>2]=b+1;a[b>>0]=f>>>12|224;b=c[p>>2]|0;if(b>>>0>=(c[n>>2]|0)>>>0){dm(o,1)|0;b=c[p>>2]|0}c[p>>2]=b+1;a[b>>0]=f>>>6&63|128;e=(f&63|128)&255}}else{h=0;m=9}else if((e&255)>=224)if((e&255)>=240)if((e&255)<248){h=3;m=9}else{if(!(a[174080]|0)){c[j>>2]=Dn(d)|0;_l(0,94529,j)|0;a[174080]=1}h=-1;e=wB(e,o)|0;m=9}else{h=2;m=9}else{h=1;m=9}while(0);do if((m|0)==9){m=0;g=0;while(1){if((g|0)>=(h|0)){m=34;break}if((a[f>>0]&-64)<<24>>24!=-128)break;b=c[p>>2]|0;if(b>>>0>=(c[n>>2]|0)>>>0){dm(o,1)|0;b=c[p>>2]|0}c[p>>2]=b+1;a[b>>0]=e;g=g+1|0;e=a[f>>0]|0;f=f+1|0}if((m|0)==34){m=0;c[i>>2]=f;break}c[i>>2]=f;if(!(a[174080]|0)){g=Dn(d)|0;c[k>>2]=h+1;c[k+4>>2]=g;_l(0,94650,k)|0;a[174080]=1}e=wB(e,o)|0}while(0);b=c[p>>2]|0;if(b>>>0>=(c[n>>2]|0)>>>0){dm(o,1)|0;b=c[p>>2]|0}c[p>>2]=b+1;a[b>>0]=e;b=c[i>>2]|0}b=c[p>>2]|0;if(b>>>0>=(c[n>>2]|0)>>>0){dm(o,1)|0;b=c[p>>2]|0}a[b>>0]=0;n=c[o>>2]|0;c[p>>2]=n;p=GL(n)|0;gm(o);l=q;return p|0}function wB(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;j=l;l=l+16|0;g=j;a[g>>0]=b;a[g+1>>0]=0;g=yB(g)|0;h=d+4|0;i=d+8|0;e=rJ(g)|0;f=g;while(1){if((e|0)<=1)break;b=c[h>>2]|0;if(b>>>0>=(c[i>>2]|0)>>>0){dm(d,1)|0;b=c[h>>2]|0}k=a[f>>0]|0;c[h>>2]=b+1;a[b>>0]=k;e=e+-1|0;f=f+1|0}k=a[f>>0]|0;_I(g);l=j;return k|0}function xB(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+32|0;h=i;d=i+8|0;e=c[b>>2]|0;a:do if((a[e>>0]|0)!=35){c[h>>2]=d;g=0;b:while(1){if((g|0)>=8){d=0;break a}f=a[e+g>>0]|0;switch(f<<24>>24){case 0:{d=0;break a}case 59:break b;default:{}}a[d>>0]=f;d=d+1|0;g=g+1|0}a[d>>0]=0;d=vM(h,22648,252,8,30)|0;if(!d)d=0;else{e=e+(g+1)|0;d=c[d+4>>2]|0}}else{h=a[e+1>>0]|0;d=h&255;c:do if((h|32)<<24>>24==120){h=0;g=2;while(1){if((g|0)>=8){f=h;break c}f=a[e+g>>0]|0;d=f&255;if((f+-65&255)>=6)if((f+-97&255)>=6)if((f+-48&255)<10)f=-48;else{f=h;break c}else f=-87;else f=-55;d=f+d|0;h=d+(h<<4)|0;g=g+1|0}}else{f=0;g=1;while(1){if((g|0)>=8)break c;h=a[e+g>>0]|0;d=h&255;if((h+-48&255)>=10)break c;f=(f*10|0)+-48+d|0;g=g+1|0}}while(0);d=(d|0)==59;e=d?e+(g+1)|0:e;d=d?f:0}while(0);c[b>>2]=e;l=i;return d|0}function yB(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+1056|0;g=k;i=k+8|0;c[g>>2]=b;cm(i,1024,k+24|0);j=i+4|0;h=i+8|0;while(1){c[g>>2]=b+1;d=a[b>>0]|0;if(!(d<<24>>24))break;b=d&255;if(d<<24>>24==38){b=xB(g)|0;if(!b){b=38;f=6}else f=5}else f=5;do if((f|0)==5){f=0;if(b>>>0<127)f=6;else{d=c[j>>2]|0;e=d>>>0>=(c[h>>2]|0)>>>0;if(b>>>0<2047){if(e){dm(i,1)|0;d=c[j>>2]|0}c[j>>2]=d+1;a[d>>0]=b>>>6|192;d=c[j>>2]|0;if(d>>>0>=(c[h>>2]|0)>>>0){dm(i,1)|0;d=c[j>>2]|0}b=b&63|128;break}if(e){dm(i,1)|0;d=c[j>>2]|0}c[j>>2]=d+1;a[d>>0]=b>>>12|224;d=c[j>>2]|0;if(d>>>0>=(c[h>>2]|0)>>>0){dm(i,1)|0;d=c[j>>2]|0}c[j>>2]=d+1;a[d>>0]=b>>>6&63|128;d=c[j>>2]|0;if(d>>>0>=(c[h>>2]|0)>>>0){dm(i,1)|0;d=c[j>>2]|0}b=b&63|128}}while(0);if((f|0)==6){d=c[j>>2]|0;if(d>>>0>=(c[h>>2]|0)>>>0){dm(i,1)|0;d=c[j>>2]|0}}c[j>>2]=d+1;a[d>>0]=b;b=c[g>>2]|0}b=c[j>>2]|0;if(b>>>0>=(c[h>>2]|0)>>>0){dm(i,1)|0;b=c[j>>2]|0}a[b>>0]=0;h=c[i>>2]|0;c[j>>2]=h;j=GL(h)|0;gm(i);l=k;return j|0}function zB(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+1040|0;g=i;cm(g,1024,i+16|0);h=g+4|0;f=g+8|0;while(1){d=b+1|0;e=a[b>>0]|0;if(!(e<<24>>24))break;if((e&255)<127){b=c[h>>2]|0;if(b>>>0>=(c[f>>2]|0)>>>0){dm(g,1)|0;b=c[h>>2]|0}c[h>>2]=b+1;a[b>>0]=e;b=d;continue}else{e=a[d>>0]&63|e<<6&255;d=c[h>>2]|0;if(d>>>0>=(c[f>>2]|0)>>>0){dm(g,1)|0;d=c[h>>2]|0}c[h>>2]=d+1;a[d>>0]=e;b=b+2|0;continue}}b=c[h>>2]|0;if(b>>>0>=(c[f>>2]|0)>>>0){dm(g,1)|0;b=c[h>>2]|0}a[b>>0]=0;f=c[g>>2]|0;c[h>>2]=f;h=GL(f)|0;gm(g);l=i;return h|0}function AB(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+80|0;e=n+48|0;d=n+32|0;f=n+64|0;g=n+16|0;i=n;j=b+16|0;k=a+16|0;m=c[k>>2]|0;if(((+h[j>>3]>=+h[m+48>>3]?+h[m+64>>3]>=+h[b>>3]:0)?+h[b+24>>3]>=+h[m+56>>3]:0)?+h[m+72>>3]>=+h[b+8>>3]:0){m=m+16|0;c[d>>2]=c[j>>2];c[d+4>>2]=c[j+4>>2];c[d+8>>2]=c[j+8>>2];c[d+12>>2]=c[j+12>>2];c[e>>2]=c[b>>2];c[e+4>>2]=c[b+4>>2];c[e+8>>2]=c[b+8>>2];c[e+12>>2]=c[b+12>>2];BB(g,d,e);c[d>>2]=c[m>>2];c[d+4>>2]=c[m+4>>2];c[d+8>>2]=c[m+8>>2];c[d+12>>2]=c[m+12>>2];c[e>>2]=c[g>>2];c[e+4>>2]=c[g+4>>2];c[e+8>>2]=c[g+8>>2];c[e+12>>2]=c[g+12>>2];fB(i,d,e);c[f>>2]=a;c[f+4>>2]=0;d=c[(c[(c[(c[k>>2]|0)+8>>2]|0)+4>>2]|0)+12>>2]|0;c[e>>2]=c[i>>2];c[e+4>>2]=c[i+4>>2];c[e+8>>2]=c[i+8>>2];c[e+12>>2]=c[i+12>>2];d=ab[d&63](f,e)|0}else d=0;l=n;return d|0}function BB(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=(+h[c+8>>3]+ +h[b+8>>3])*.5;h[a>>3]=(+h[c>>3]+ +h[b>>3])*.5;h[a+8>>3]=d;return}function CB(a,b){a=a|0;b=b|0;var d=0.0,e=0,f=0.0,g=0,i=0.0,j=0,k=0,m=0,n=0;e=l;l=l+80|0;j=e+64|0;k=e+48|0;m=e;n=e+32|0;g=e+16|0;h[m>>3]=+h[a+24>>3]*.5;h[m+8>>3]=+h[a+32>>3]*.5;a=a+56|0;c[k>>2]=c[a>>2];c[k+4>>2]=c[a+4>>2];c[k+8>>2]=c[a+8>>2];c[k+12>>2]=c[a+12>>2];c[j>>2]=c[m>>2];c[j+4>>2]=c[m+4>>2];c[j+8>>2]=c[m+8>>2];c[j+12>>2]=c[m+12>>2];fB(n,k,j);i=+h[n>>3];f=+h[n+8>>3];c[k>>2]=c[a>>2];c[k+4>>2]=c[a+4>>2];c[k+8>>2]=c[a+8>>2];c[k+12>>2]=c[a+12>>2];c[j>>2]=c[m>>2];c[j+4>>2]=c[m+4>>2];c[j+8>>2]=c[m+8>>2];c[j+12>>2]=c[m+12>>2];gB(g,k,j);d=+h[g+8>>3];if((+h[b+16>>3]>=i?+h[g>>3]>=+h[b>>3]:0)?+h[b+24>>3]>=f:0)a=d>=+h[b+8>>3]&1;else a=0;l=e;return a|0}function DB(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+80|0;k=n+48|0;j=n;h=a+16|0;a=c[h>>2]|0;i=c[a+8>>2]|0;a:do if((i|0)!=0?(g=i+8|0,c[j>>2]=c[g>>2],c[j+4>>2]=c[g+4>>2],c[j+8>>2]=c[g+8>>2],c[j+12>>2]=c[g+12>>2],c[j+16>>2]=c[g+16>>2],c[j+20>>2]=c[g+20>>2],c[j+24>>2]=c[g+24>>2],c[j+28>>2]=c[g+28>>2],c[k>>2]=c[b>>2],c[k+4>>2]=c[b+4>>2],c[k+8>>2]=c[b+8>>2],c[k+12>>2]=c[b+12>>2],c[k+16>>2]=c[b+16>>2],c[k+20>>2]=c[b+20>>2],c[k+24>>2]=c[b+24>>2],c[k+28>>2]=c[b+28>>2],(EB(j,k)|0)!=0):0){d=i+4|0;a=0;while(1){if((a|0)>=(c[d>>2]|0))break;e=j;f=(c[i>>2]|0)+(a*48|0)|0;g=e+48|0;do{c[e>>2]=c[f>>2];e=e+4|0;f=f+4|0}while((e|0)<(g|0));c[k>>2]=c[b>>2];c[k+4>>2]=c[b+4>>2];c[k+8>>2]=c[b+8>>2];c[k+12>>2]=c[b+12>>2];c[k+16>>2]=c[b+16>>2];c[k+20>>2]=c[b+20>>2];c[k+24>>2]=c[b+24>>2];c[k+28>>2]=c[b+28>>2];if(!((FB(j,k)|0)<<24>>24))a=a+1|0;else{a=1;break a}}a=c[h>>2]|0;m=7}else m=7;while(0);do if((m|0)==7){a=c[a+96>>2]|0;if(a|0?(c[k>>2]=c[b>>2],c[k+4>>2]=c[b+4>>2],c[k+8>>2]=c[b+8>>2],c[k+12>>2]=c[b+12>>2],c[k+16>>2]=c[b+16>>2],c[k+20>>2]=c[b+20>>2],c[k+24>>2]=c[b+24>>2],c[k+28>>2]=c[b+28>>2],(CB(a,k)|0)<<24>>24):0){a=1;break}a=0}while(0);l=n;return a|0}
function si(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;h=a+16|0;i=vw((b[(c[h>>2]|0)+238>>1]<<2)+8|0)|0;g=co(a)|0;while(1){if(!g)break;f=i+(c[(c[g+16>>2]|0)+232>>2]<<2)|0;c[f>>2]=(c[f>>2]|0)+1;f=Pm(a,g)|0;while(1){if(!f)break;j=c[f>>2]&3;d=c[(c[(c[((j|0)==3?f:f+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0;j=c[(c[(c[((j|0)==2?f:f+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0;k=(d|0)>(j|0);e=k?d:j;d=k?j:d;while(1){d=d+1|0;if((d|0)>=(e|0))break;k=i+(d<<2)|0;c[k>>2]=(c[k>>2]|0)+1}f=Rm(a,f)|0}g=eo(a,g)|0}f=vw((b[(c[h>>2]|0)+238>>1]<<6)+128|0)|0;e=c[h>>2]|0;c[e+196>>2]=f;d=b[e+236>>1]|0;while(1){if((d|0)>(b[e+238>>1]|0))break;j=i+(d<<2)|0;e=c[j>>2]|0;c[f+(d<<6)>>2]=e;c[f+(d<<6)+8>>2]=e;j=vw((c[j>>2]<<2)+4|0)|0;e=c[h>>2]|0;k=c[e+196>>2]|0;c[k+(d<<6)+4>>2]=j;c[k+(d<<6)+12>>2]=j;d=d+1|0;f=k}_I(i);return}function ti(a,d,e,f){a=a|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,l=0,m=0;m=a+16|0;i=1;while(1){g=c[m>>2]|0;if((i|0)>(c[g+180>>2]|0))break;l=ti(c[(c[g+184>>2]|0)+(i<<2)>>2]|0,d,e,f)|0;i=i+1|0;f=l}a:do if((Vf(a)|0)!=(a|0)){VN(d|0,0,e<<2|0)|0;g=co(a)|0;while(1){if(!g)break;k=g+16|0;c[d+(c[(c[k>>2]|0)+232>>2]<<2)>>2]=1;i=Pm(a,g)|0;while(1){if(!i)break;l=i+-48|0;j=c[(c[k>>2]|0)+232>>2]|0;while(1){e=j+1|0;if((j|0)>=(c[(c[(c[((c[i>>2]&3|0)==2?i:l)+40>>2]|0)+16>>2]|0)+232>>2]|0))break;c[d+(e<<2)>>2]=1;j=e}i=Rm(a,i)|0}g=eo(a,g)|0}g=c[m>>2]|0;i=b[g+236>>1]|0;while(1){if((i|0)>(b[g+238>>1]|0))break a;if(!(c[d+(i<<2)>>2]|0)){if(!f)f=Ip(Vf(a)|0,79522,1)|0;g=no(f,0,1)|0;No(g,122241,304,1)|0;l=g+16|0;j=c[l>>2]|0;c[j+232>>2]=i;h[j+96>>3]=.5;h[j+88>>3]=.5;h[j+80>>3]=1.0;c[j+216>>2]=1;c[j+176>>2]=0;j=vw(20)|0;k=c[l>>2]|0;c[k+172>>2]=j;c[k+184>>2]=0;k=vw(20)|0;c[(c[l>>2]|0)+180>>2]=k;io(a,g,1)|0;g=c[m>>2]|0}i=i+1|0}}while(0);return f|0}function ui(a){a=a|0;var b=0,d=0;Kh(a);b=a+16|0;a=1;while(1){d=c[b>>2]|0;if((a|0)>(c[d+180>>2]|0))break;ui(c[(c[d+184>>2]|0)+(a<<2)>>2]|0);a=a+1|0}return}function vi(a){a=a|0;var b=0,d=0;b=c[a>>2]&3;d=wi(c[((b|0)==3?a:a+48|0)+40>>2]|0)|0;b=c[17236+(d*12|0)+((wi(c[((b|0)==2?a:a+-48|0)+40>>2]|0)|0)<<2)>>2]|0;a=(c[a+16>>2]|0)+156|0;c[a>>2]=O(c[a>>2]|0,b)|0;return}function wi(b){b=b|0;b=c[b+16>>2]|0;if((a[b+156>>0]|0)==1)b=2;else b=(a[b+160>>0]|0)<2&1;return b|0}function xi(b,d){b=b|0;d=d|0;if(c[(c[b+16>>2]|0)+192>>2]|0){Yk(b);yi(b);if(a[174076]|0)kl(b);zi(b);if(Cl(b)|0)yi(b);Ai(b);if(gx(b,2,Bi(b)|0)|0?(Ci(b),gx(b,2,Bi(b)|0)|0):0)ma(79540,79568,134,79579);Di(b);Ei(b,d);Fi(b)}return}function yi(d){d=d|0;var e=0,f=0,g=0,i=0,j=0.0,k=0.0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0.0,z=0.0;v=d+16|0;e=c[v>>2]|0;w=c[e+196>>2]|0;t=b[e+236>>1]|0;while(1){if((t|0)>(b[e+238>>1]|0))break;n=w+(t<<6)|0;o=w+(t<<6)+4|0;p=w+(t<<6)+40|0;q=w+(t<<6)+24|0;r=w+(t<<6)+32|0;s=w+(t<<6)+16|0;m=0;while(1){if((m|0)>=(c[n>>2]|0))break;l=(c[(c[o>>2]|0)+(m<<2)>>2]|0)+16|0;e=c[l>>2]|0;j=+h[e+80>>3]*.5;i=c[e+204>>2]|0;a:do if(i){g=0;while(1){f=c[i+(g<<2)>>2]|0;if(!f)break a;x=c[f>>2]&3;if((c[((x|0)==3?f:f+48|0)+40>>2]|0)==(c[((x|0)==2?f:f+-48|0)+40>>2]|0)?(u=c[(c[f+16>>2]|0)+96>>2]|0,(u|0)!=0):0){k=+h[u+32>>3]*.5;j=j>k?j:k}g=g+1|0}}while(0);if(+h[p>>3]<j){h[q>>3]=j;h[p>>3]=j}if(+h[r>>3]<j){h[s>>3]=j;h[r>>3]=j}f=c[e+212>>2]|0;if(f|0){if((f|0)==(d|0))g=0;else{g=DA(f,c[42188]|0,8,0)|0;e=c[l>>2]|0}i=c[e+232>>2]|0;f=c[f+16>>2]|0;e=f+128|0;j=j+ +(g|0);if((i|0)==(b[f+236>>1]|0)){k=+h[e>>3];h[e>>3]=k>j?k:j}e=f+120|0;if((i|0)==(b[f+238>>1]|0)){k=+h[e>>3];h[e>>3]=k>j?k:j}}m=m+1|0}t=t+1|0;e=c[v>>2]|0}m=ej(d)|0;g=c[v>>2]|0;e=b[g+238>>1]|0;h[(c[(c[c[w+(e<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]=+h[w+(e<<6)+16>>3];f=b[g+236>>1]|0;i=g+252|0;k=0.0;while(1){l=e+-1|0;if((e|0)<=(f|0))break;y=+h[w+(l<<6)+32>>3]+ +h[w+(e<<6)+40>>3]+ +(c[i>>2]|0);j=+h[w+(e<<6)+24>>3]+8.0+ +h[w+(l<<6)+16>>3];j=y>j?y:j;if((c[w+(l<<6)>>2]|0)>0)h[(c[(c[c[w+(l<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]=+h[(c[(c[c[w+(e<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]+j;k=k>j?k:j;e=l}b:do if((m|0)!=0?(c[g+116>>2]&1|0)!=0:0){fj(d,0);g=c[v>>2]|0;if(a[g+276>>0]|0){e=b[g+238>>1]|0;f=b[g+236>>1]|0;j=+h[(c[(c[c[w+(e<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3];k=0.0;while(1){i=e+-1|0;if((e|0)<=(f|0))break b;z=+h[(c[(c[c[w+(i<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3];y=z-j;j=z;k=k>y?k:y;e=i}}}while(0);c:do if(a[g+276>>0]|0){i=b[g+236>>1]|0;f=b[g+238>>1]|0;while(1){e=f+-1|0;if((f|0)<=(i|0))break c;if((c[w+(e<<6)>>2]|0)<=0){f=e;continue}h[(c[(c[c[w+(e<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]=+h[(c[(c[c[w+(f<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]+k;f=e}}while(0);e=g+192|0;while(1){e=c[e>>2]|0;if(!e)break;e=c[e+16>>2]|0;h[e+24>>3]=+h[(c[(c[c[w+(c[e+232>>2]<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3];e=e+164|0}return}function zi(a){a=a|0;var b=0,d=0,e=0;aj(a);b=(c[a+16>>2]|0)+192|0;while(1){b=c[b>>2]|0;if(!b)break;e=b+16|0;b=c[e>>2]|0;d=c[b+224>>2]|0;if(d){bj(a,d);b=c[e>>2]|0}d=c[b+228>>2]|0;if(!d)d=b;else{bj(a,d);d=c[e>>2]|0}e=c[d+204>>2]|0;if(e|0){b=0;while(1)if(!(c[e+(b<<2)>>2]|0))break;else b=b+1|0}b=d+164|0}return}function Ai(a){a=a|0;Oi(a);Pi(a);Qi(a);Ri(a);Si(a);return}function Bi(a){a=a|0;var b=0,c=0.0;b=Im(a,79768)|0;if(!b)a=2147483647;else{c=+sM(b);a=~~(c*+(mn(a)|0))}return a|0}function Ci(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;r=d+16|0;e=c[r>>2]|0;q=b[e+236>>1]|0;while(1){p=b[e+238>>1]|0;if((q|0)>(p|0)){s=19;break}n=c[e+196>>2]|0;o=n+(q<<6)|0;m=c[o>>2]|0;n=n+(q<<6)+4|0;l=0;f=0;a:while(1){if((l|0)>=(m|0)){s=14;break}f=c[(c[n>>2]|0)+(l<<2)>>2]|0;h=c[f+16>>2]|0;i=c[h+256>>2]|0;b:do if(i|0){g=0;while(1){j=c[i+(g<<2)>>2]|0;if(!j)break b;k=c[j>>2]&3;if((c[(c[(c[((k|0)==2?j:j+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)>(q|0))break a;if((c[(c[(c[((k|0)==3?j:j+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)>(q|0))break a;else g=g+1|0}}while(0);h=c[h+248>>2]|0;c:do if(h|0){g=0;while(1){i=c[h+(g<<2)>>2]|0;if(!i)break c;j=c[i>>2]&3;if((c[(c[(c[((j|0)==3?i:i+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)>(q|0))break a;if((c[(c[(c[((j|0)==2?i:i+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)>(q|0))break a;else g=g+1|0}}while(0);l=l+1|0}if((s|0)==14){s=0;if(f){f=c[c[n>>2]>>2]|0;e=c[c[o+(((q|0)<(p|0)?1:-1)<<6)+4>>2]>>2]|0;if(!e){s=16;break}o=fh(d)|0;p=o+16|0;a[(c[p>>2]|0)+156>>0]=2;Mi(o,f,0.0,0)|0;Mi(o,e,0.0,0)|0;c[(c[p>>2]|0)+232>>2]=c[(c[((c[(c[f+16>>2]|0)+232>>2]|0)<(c[(c[e+16>>2]|0)+232>>2]|0)?f:e)+16>>2]|0)+232>>2];e=c[r>>2]|0}}q=q+1|0}if((s|0)==16)ma(79676,79568,111,79679);else if((s|0)==19)return}function Di(a){a=a|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0;a=c[a+16>>2]|0;i=c[a+196>>2]|0;e=b[a+238>>1]|0;a=b[a+236>>1]|0;while(1){if((a|0)>(e|0))break;f=c[i+(a<<6)>>2]|0;g=i+(a<<6)+4|0;d=0;while(1){if((d|0)>=(f|0))break;k=c[(c[(c[g>>2]|0)+(d<<2)>>2]|0)+16>>2]|0;j=k+232|0;h[k+16>>3]=+(c[j>>2]|0);c[j>>2]=a;d=d+1|0}a=a+1|0}return}function Ei(a,d){a=a|0;d=d|0;var e=0,f=0.0,g=0,i=0.0,j=0,k=0,l=0.0,m=0,n=0,o=0,p=0;Gi(a,a);g=a+16|0;k=c[g>>2]|0;a:do if((b[k+238>>1]|0)>0?(j=c[k+8>>2]|0,e=c[j+84>>2]|0,e|0):0){o=~~(+h[k+32>>3]-+h[k+16>>3]);m=~~(+h[k+40>>3]-+h[k+24>>3]);p=(c[k+116>>2]&1|0)==0;n=p?m:o;m=p?o:m;if((e|0)==4){e=Hi(a)|0;k=c[g>>2]|0;j=c[k+8>>2]|0}else e=(e|0)==2&1;b:do if(!(e<<24>>24)){switch(c[j+84>>2]|0){case 5:{f=+h[j+64>>3];if(f<=0.0)break a;i=f/+h[k+32>>3];l=+h[j+72>>3]/+h[k+40>>3];f=i<l?i:l;if(i>1.0&l>1.0){l=f;break b}else break a}case 1:break;default:break a}i=+h[j+16>>3];f=+(n|0)/+(m|0);if(f<i){l=1.0;f=i/f;break}else{l=f/i;f=1.0;break}}else{f=+h[j+64>>3];if(f<=0.0)break a;i=f/+(m|0);f=+h[j+72>>3]/+(n|0);if(i<1.0|f<1.0)if(i<f){l=1.0;f=f/i;break}else{l=i/f;f=1.0;break}else l=i}while(0);e=(c[k+116>>2]&1|0)==0;i=e?f:l;f=e?l:f;e=k+192|0;while(1){e=c[e>>2]|0;if(!e)break;e=c[e+16>>2]|0;p=e+16|0;l=+h[p>>3]*f;h[p>>3]=+(~~(l+(l>=0.0?.5:-.5))|0);p=e+24|0;l=+h[p>>3]*i;h[p>>3]=+(~~(l+(l>=0.0?.5:-.5))|0);e=e+164|0}Ii(a,f,i)}while(0);if(d|0)Ji(a,d);return}function Fi(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;h=b+16|0;b=(c[h>>2]|0)+192|0;while(1){b=c[b>>2]|0;if(!b)break;g=b+16|0;d=0;while(1){b=c[g>>2]|0;f=c[b+180>>2]|0;e=c[f+(d<<2)>>2]|0;if(!e)break;_I(c[e+16>>2]|0);_I(e);d=d+1|0}if(f){_I(f);b=c[g>>2]|0}d=c[b+172>>2]|0;if(d){_I(d);b=c[g>>2]|0}f=b+256|0;e=c[f+4>>2]|0;b=b+180|0;c[b>>2]=c[f>>2];c[b+4>>2]=e;b=c[g>>2]|0;e=b+248|0;f=c[e+4>>2]|0;b=b+172|0;c[b>>2]=c[e>>2];c[b+4>>2]=f;b=(c[g>>2]|0)+164|0}b=0;d=c[(c[h>>2]|0)+192>>2]|0;a:while(1){g=(b|0)==0;f=b+16|0;b=d;while(1){if(!b)break a;e=c[b+16>>2]|0;d=c[e+164>>2]|0;if((a[e+156>>0]|0)!=2)continue a;if(g)c[(c[h>>2]|0)+192>>2]=d;else c[(c[f>>2]|0)+164>>2]=d;_I(e);_I(b);b=d}}c[(c[(c[(c[h>>2]|0)+192>>2]|0)+16>>2]|0)+168>>2]=0;return}function Gi(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;e=a+16|0;d=1;while(1){f=c[e>>2]|0;if((d|0)>(c[f+180>>2]|0))break;Gi(c[(c[f+184>>2]|0)+(d<<2)>>2]|0,b);d=d+1|0}Li(a,b);return}function Hi(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0,j=0.0,k=0.0,m=0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0;s=l;l=l+80|0;e=s+64|0;d=s+48|0;f=s+16|0;m=s;r=s+32|0;a=a+16|0;b=c[(c[a>>2]|0)+8>>2]|0;t=b+48|0;c[f>>2]=c[t>>2];c[f+4>>2]=c[t+4>>2];c[f+8>>2]=c[t+8>>2];c[f+12>>2]=c[t+12>>2];if((!(+h[f>>3]<.001)?(g=f+8|0,!(+h[g>>3]<.001)):0)?(i=b+32|0,c[m>>2]=c[i>>2],c[m+4>>2]=c[i+4>>2],c[m+8>>2]=c[i+8>>2],c[m+12>>2]=c[i+12>>2],c[d>>2]=c[f>>2],c[d+4>>2]=c[f+4>>2],c[d+8>>2]=c[f+8>>2],c[d+12>>2]=c[f+12>>2],c[e>>2]=c[i>>2],c[e+4>>2]=c[i+4>>2],c[e+8>>2]=c[i+8>>2],c[e+12>>2]=c[i+12>>2],Ki(r,d,e),c[f>>2]=c[r>>2],c[f+4>>2]=c[r+4>>2],c[f+8>>2]=c[r+8>>2],c[f+12>>2]=c[r+12>>2],c[d>>2]=c[r>>2],c[d+4>>2]=c[r+4>>2],c[d+8>>2]=c[r+8>>2],c[d+12>>2]=c[r+12>>2],c[e>>2]=c[m>>2],c[e+4>>2]=c[m+4>>2],c[e+8>>2]=c[m+8>>2],c[e+12>>2]=c[m+12>>2],Ki(f,d,e),i=c[a>>2]|0,j=+h[i+32>>3],k=+h[i+40>>3],n=+h[f>>3],o=n/j,p=+h[g>>3],q=p/k,!(o>=1.0&q>=1.0)):0){o=o<q?o:q;o=o>.5?o:.5;q=+N(+(o*k/p))*p/k;p=+N(+(o*j/n))*n/j*j;a=c[i+8>>2]|0;h[a+64>>3]=p;h[a+72>>3]=q*k;a=1}else a=0;l=s;return a|0}function Ii(a,b,d){a=a|0;b=+b;d=+d;var e=0,f=0;e=a+16|0;a=1;while(1){f=c[e>>2]|0;if((a|0)>(c[f+180>>2]|0))break;Ii(c[(c[f+184>>2]|0)+(a<<2)>>2]|0,b,d);a=a+1|0}e=f+16|0;h[e>>3]=+h[e>>3]*b;e=f+24|0;h[e>>3]=+h[e>>3]*d;e=f+32|0;h[e>>3]=+h[e>>3]*b;f=f+40|0;h[f>>3]=+h[f>>3]*d;return}function Ji(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0,g=0,i=0.0,j=0,k=0,m=0,n=0;m=l;l=l+32|0;j=m+24|0;g=m+16|0;f=m;n=c[a+16>>2]|0;e=+h[n+32>>3]-+h[n+16>>3];d=+h[n+40>>3]-+h[n+24>>3];i=e/d;if(0){n=c[13918]|0;h[f>>3]=i;h[f+8>>3]=e*.0001*d;zL(n,79592,f)|0;c[g>>2]=kk(a)|0;zL(n,79617,g)|0}d=+h[b>>3];do if(!(i>d*1.1)){a=b+24|0;if(!(i<=d*.8)){c[a>>2]=0;k=9;break}c[a>>2]=-1;if(0){XL(79627,34,1,c[13918]|0)|0;k=9}}else{c[b+24>>2]=~~(d*+((c[b+20>>2]|0)-(c[b+16>>2]|0)|0)/i);k=9}while(0);if((k|0)==9?0:0){n=c[13918]|0;c[j>>2]=c[b+24>>2];zL(n,79662,j)|0}l=m;return}function Ki(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=+h[b+8>>3]-+h[c+8>>3];h[a>>3]=+h[b>>3]-+h[c>>3];h[a+8>>3]=d;return}function Li(d,e){d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0,k=0,l=0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0.0;s=(Vf(d)|0)==(d|0);v=d+16|0;w=c[v>>2]|0;a:do if(s){f=b[w+236>>1]|0;d=b[w+238>>1]|0;q=d<<16>>16;r=w+196|0;s=w+196|0;p=f<<16>>16;i=-2147483647.0;g=2147483647.0;while(1){if((p|0)>(q|0))break;j=c[r>>2]|0;o=c[j+(p<<6)>>2]|0;if((o|0)!=0?(t=c[j+(p<<6)+4>>2]|0,u=c[t>>2]|0,(u|0)!=0):0){l=1;j=u;while(1){j=c[j+16>>2]|0;k=a[j+156>>0]|0;if(!((l|0)<(o|0)&k<<24>>24!=0))break;j=c[t+(l<<2)>>2]|0;l=l+1|0}if(!(k<<24>>24)){m=+h[j+16>>3]-+h[j+88>>3];n=g<m;l=c[(c[s>>2]|0)+(p<<6)+4>>2]|0;k=o+-2|0;j=o+-1|0;while(1){j=c[(c[l+(j<<2)>>2]|0)+16>>2]|0;if(!(a[j+156>>0]|0))break;else{j=k;k=k+-1|0}}x=+h[j+96>>3]+ +h[j+16>>3];i=i>x?i:x;g=n?g:m}}p=p+1|0}k=c[w+180>>2]|0;l=w+184|0;j=1;while(1){if((j|0)>(k|0))break a;u=c[(c[(c[l>>2]|0)+(j<<2)>>2]|0)+16>>2]|0;x=+h[u+16>>3]+-8.0;m=+h[u+32>>3]+8.0;j=j+1|0;i=i>m?i:m;g=g<x?g:x}}else{i=+(c[(c[(c[w+260>>2]|0)+16>>2]|0)+232>>2]|0);g=+(c[(c[(c[w+256>>2]|0)+16>>2]|0)+232>>2]|0);f=b[w+236>>1]|0;d=b[w+238>>1]|0}while(0);e=c[(c[e+16>>2]|0)+196>>2]|0;m=+h[(c[(c[c[e+(d<<16>>16<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]-+h[w+120>>3];x=+h[w+128>>3]+ +h[(c[(c[c[e+(f<<16>>16<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3];h[w+16>>3]=g;h[w+24>>3]=m;e=c[v>>2]|0;h[e+32>>3]=i;h[e+40>>3]=x;return}function Mi(a,d,e,f){a=a|0;d=d|0;e=+e;f=f|0;var g=0,h=0,i=0,j=0;i=vw(96)|0;j=i+48|0;c[j>>2]=c[j>>2]|3;c[i>>2]=c[i>>2]&-4|2;g=vw(176)|0;h=i+16|0;c[h>>2]=g;c[((c[i>>2]&3|0)==3?i:j)+40>>2]=a;c[((c[i>>2]&3|0)==2?i:i+-48|0)+40>>2]=d;if(e>65535.0){Ni(e);e=65535.0;g=c[h>>2]|0}b[g+170>>1]=~~(e+(e>=0.0?.5:-.5));c[g+156>>2]=f;Vg(i)|0;return i|0}function Ni(a){a=+a;var b=0,d=0;b=l;l=l+16|0;d=b;h[d>>3]=a;c[d+8>>2]=65535;_l(1,79692,d)|0;l=b;return}function Oi(a){a=a|0;var b=0,d=0,e=0,f=0;a=(c[a+16>>2]|0)+192|0;while(1){a=c[a>>2]|0;if(!a)break;f=a+16|0;e=c[f>>2]|0;a=e+172|0;d=c[a+4>>2]|0;e=e+248|0;c[e>>2]=c[a>>2];c[e+4>>2]=d;e=c[f>>2]|0;d=e+180|0;a=c[d+4>>2]|0;e=e+256|0;c[e>>2]=c[d>>2];c[e+4>>2]=a;e=c[f>>2]|0;a=c[e+180>>2]|0;d=0;while(1)if(!(c[a+(d<<2)>>2]|0))break;else d=d+1|0;b=c[e+172>>2]|0;a=0;while(1)if(!(c[b+(a<<2)>>2]|0))break;else a=a+1|0;c[e+176>>2]=0;a=vw((a+d<<2)+16|0)|0;e=c[f>>2]|0;c[e+172>>2]=a;c[e+184>>2]=0;e=vw(16)|0;a=c[f>>2]|0;c[a+180>>2]=e;a=a+164|0}return}function Pi(d){d=d|0;var f=0,g=0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0.0,q=0,r=0,s=0,t=0.0,u=0,v=0,w=0,x=0,y=0,z=0,A=0.0,B=0.0;z=l;l=l+16|0;w=z;x=d+16|0;u=c[x>>2]|0;y=c[u+196>>2]|0;d=(a[(c[(c[d+60>>2]|0)+16>>2]|0)+113>>0]&1)!=0;v=c[u+248>>2]|0;c[w>>2]=v;c[w+4>>2]=d?5:v;v=b[u+236>>1]|0;d=u;while(1){if((v|0)>(b[d+238>>1]|0))break;r=y+(v<<6)+4|0;c[(c[(c[c[r>>2]>>2]|0)+16>>2]|0)+232>>2]=0;s=y+(v<<6)|0;t=+(c[w+((v&1)<<2)>>2]|0);p=0.0;k=0;a:while(1){if((k|0)>=(c[s>>2]|0))break;f=c[r>>2]|0;m=c[f+(k<<2)>>2]|0;u=m+16|0;d=c[u>>2]|0;i=+h[d+96>>3];h[d+240>>3]=i;if((c[d+208>>2]|0)>0){j=0;f=0;while(1){g=c[(c[d+204>>2]|0)+(j<<2)>>2]|0;if(!g)break;q=c[g>>2]&3;if((c[((q|0)==3?g:g+48|0)+40>>2]|0)==(c[((q|0)==2?g:g+-48|0)+40>>2]|0)){f=(Qz(g)|0)+f|0;d=c[u>>2]|0}j=j+1|0}q=d+96|0;i=+h[q>>3]+ +(f|0);h[q>>3]=i;f=c[r>>2]|0}q=k+1|0;f=c[f+(q<<2)>>2]|0;if(f){o=f+16|0;i=i+t+ +h[(c[o>>2]|0)+88>>3];Mi(m,f,i,0)|0;d=~~(i+p);c[(c[o>>2]|0)+232>>2]=d;p=+(d|0);d=c[u>>2]|0}f=c[d+112>>2]|0;if(f){j=c[d+256>>2]|0;k=c[j>>2]|0;j=c[j+4>>2]|0;d=(c[(c[(c[((c[k>>2]&3|0)==2?k:k+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)>(c[(c[(c[((c[j>>2]&3|0)==2?j:j+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0);g=d?j:k;j=d?k:j;k=f+16|0;d=c[k>>2]|0;i=+((O(c[(c[x>>2]|0)+248>>2]|0,e[d+170>>1]|0)|0)/2|0|0);o=c[g>>2]&3;f=c[((o|0)==2?g:g+-48|0)+40>>2]|0;g=c[((o|0)==3?g:g+48|0)+40>>2]|0;if(!(_i(g,f)|0))Mi(f,g,+(~~(+h[(c[f+16>>2]|0)+96>>3]+i+ +h[(c[g+16>>2]|0)+88>>3])|0),c[d+156>>2]|0)|0;d=c[j>>2]&3;f=c[((d|0)==3?j:j+48|0)+40>>2]|0;d=c[((d|0)==2?j:j+-48|0)+40>>2]|0;if(!(_i(d,f)|0)){Mi(f,d,+(~~(+h[(c[f+16>>2]|0)+96>>3]+i+ +h[(c[d+16>>2]|0)+88>>3])|0),c[(c[k>>2]|0)+156>>2]|0)|0;o=0}else o=0}else o=0;while(1){d=c[u>>2]|0;if((o|0)>=(c[d+192>>2]|0)){k=q;continue a}m=c[(c[d+188>>2]|0)+(o<<2)>>2]|0;k=c[m>>2]&3;g=c[((k|0)==3?m:m+48|0)+40>>2]|0;k=c[((k|0)==2?m:m+-48|0)+40>>2]|0;j=(c[(c[g+16>>2]|0)+236>>2]|0)<(c[(c[k+16>>2]|0)+236>>2]|0);f=j?g:k;g=j?k:g;i=+h[(c[g+16>>2]|0)+88>>3]+ +h[(c[f+16>>2]|0)+96>>3];k=m+16|0;j=~~(i+ +(O(c[(c[x>>2]|0)+248>>2]|0,e[(c[k>>2]|0)+170>>1]|0)|0));n=Sg(f,g)|0;if(!n){d=c[k>>2]|0;if(!(c[d+96>>2]|0))Mi(f,g,+(j|0),c[d+156>>2]|0)|0}else{A=+(j|0);d=c[k>>2]|0;B=+h[d+136>>3];i=i+ +(c[(c[x>>2]|0)+248>>2]|0)+ +(~~(B+(B>=0.0?.5:-.5))|0);f=~~(i<A?A:i);if((f|0)>65535){Ni(+(f|0));f=65535;d=c[k>>2]|0}k=c[n+16>>2]|0;j=k+170|0;g=e[j>>1]|0;b[j>>1]=(f|0)<(g|0)?g:f;k=k+156|0;c[k>>2]=c[(c[((c[k>>2]|0)>(c[d+156>>2]|0)?n:m)+16>>2]|0)+156>>2]}o=o+1|0}}v=v+1|0;d=c[x>>2]|0}l=z;return}function Qi(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0;d=(c[b+16>>2]|0)+192|0;while(1){d=c[d>>2]|0;if(!d)break;g=d+16|0;d=c[g>>2]|0;e=c[d+256>>2]|0;a:do if(e){f=0;while(1){e=c[e+(f<<2)>>2]|0;if(!e)break a;n=fh(b)|0;d=n+16|0;a[(c[d>>2]|0)+156>>0]=2;l=e+16|0;k=c[l>>2]|0;i=~~(+h[k+56>>3]-+h[k+16>>3]);m=(i|0)>0;j=m?0:0-i|0;i=m?i:0;m=e+48|0;Mi(n,c[((c[e>>2]&3|0)==3?e:m)+40>>2]|0,+(i+1|0),c[k+156>>2]|0)|0;k=e+-48|0;Mi(n,c[((c[e>>2]&3|0)==2?e:k)+40>>2]|0,+(j+1|0),c[(c[l>>2]|0)+156>>2]|0)|0;l=c[e>>2]&3;i=(c[(c[(c[((l|0)==3?e:m)+40>>2]|0)+16>>2]|0)+232>>2]|0)-i|0;e=(c[(c[(c[((l|0)==2?e:k)+40>>2]|0)+16>>2]|0)+232>>2]|0)-j|0;c[(c[d>>2]|0)+232>>2]=((i|0)<(e|0)?i:e)+-1;d=c[g>>2]|0;f=f+1|0;e=c[d+256>>2]|0}}while(0);d=d+164|0}return}function Ri(a){a=a|0;if((c[(c[a+16>>2]|0)+180>>2]|0)>0){Vi(a);Wi(a);Xi(a);Yi(a)}return}function Si(a){a=a|0;var b=0.0,d=0.0,e=0,f=0;e=a+16|0;f=c[(c[e>>2]|0)+8>>2]|0;if((c[f+84>>2]|0)==3?(b=+h[f+64>>3],d=+h[f+72>>3],!(d*b<=1.0)):0){Ti(a);f=c[e>>2]|0;d=(c[f+116>>2]&1|0)==0?b:d;Mi(c[f+256>>2]|0,c[f+260>>2]|0,d<65535.0?d:65535.0,1e3)|0}return}function Ti(a){a=a|0;var d=0,e=0,f=0.0,g=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+16|0;m=n;e=DA(a,c[42188]|0,8,0)|0;Ui(a);i=a+16|0;g=c[i>>2]|0;j=c[g+256>>2]|0;k=c[g+260>>2]|0;f=+(e|0);e=b[g+236>>1]|0;while(1){if((e|0)>(b[g+238>>1]|0))break;d=c[g+196>>2]|0;do if(c[d+(e<<6)>>2]|0){d=c[c[d+(e<<6)+4>>2]>>2]|0;if(!d){c[m>>2]=Dn(a)|0;c[m+4>>2]=e;_l(1,79776,m)|0;break}else{Mi(j,d,+h[(c[d+16>>2]|0)+88>>3]+f+ +h[g+96>>3],0)|0;g=c[i>>2]|0;d=c[g+196>>2]|0;d=c[(c[d+(e<<6)+4>>2]|0)+((c[d+(e<<6)>>2]|0)+-1<<2)>>2]|0;Mi(d,k,+h[(c[d+16>>2]|0)+96>>3]+f+ +h[g+64>>3],0)|0;break}}while(0);e=e+1|0;g=c[i>>2]|0}l=n;return}function Ui(b){b=b|0;var d=0,e=0,f=0;d=b+16|0;if(!(c[(c[d>>2]|0)+256>>2]|0)){f=fh(Vf(b)|0)|0;a[(c[f+16>>2]|0)+156>>0]=2;e=fh(Vf(b)|0)|0;a[(c[e+16>>2]|0)+156>>0]=2;if((c[(c[d>>2]|0)+12>>2]|0?(Vf(b)|0)!=(b|0):0)?(c[(c[(so(b)|0)+16>>2]|0)+116>>2]&1|0)==0:0){b=c[d>>2]|0;Mi(f,e,+(~~+h[b+48+((+h[b+48>>3]>+h[b+80>>3]?0:2)<<4)>>3]|0),0)|0}d=c[d>>2]|0;c[d+256>>2]=f;c[d+260>>2]=e}return}function Vi(a){a=a|0;var b=0,d=0;do if((Vf(a)|0)!=(a|0)){Ti(a);a=a+16|0;b=c[a>>2]|0;b=Sg(c[b+256>>2]|0,c[b+260>>2]|0)|0;if(!b){d=c[a>>2]|0;Mi(c[d+256>>2]|0,c[d+260>>2]|0,1.0,128)|0;break}else{d=(c[b+16>>2]|0)+156|0;c[d>>2]=(c[d>>2]|0)+128;break}}else a=a+16|0;while(0);b=1;while(1){d=c[a>>2]|0;if((b|0)>(c[d+180>>2]|0))break;Vi(c[(c[d+184>>2]|0)+(b<<2)>>2]|0);b=b+1|0}return}function Wi(d){d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0.0,n=0,o=0;k=DA(d,c[42188]|0,8,0)|0;o=d+16|0;e=c[o>>2]|0;m=+(k|0);k=b[e+236>>1]|0;while(1){if((k|0)>(b[e+238>>1]|0)){f=1;break}e=c[e+196>>2]|0;a:do if(c[e+(k<<6)>>2]|0?(l=c[c[e+(k<<6)+4>>2]>>2]|0,l|0):0){i=l+16|0;f=c[(c[i>>2]|0)+236>>2]|0;while(1){if((f|0)<=0)break;f=f+-1|0;j=c[(c[(c[(c[(Vf(d)|0)+16>>2]|0)+196>>2]|0)+(k<<6)+4>>2]|0)+(f<<2)>>2]|0;g=j+16|0;e=c[g>>2]|0;if(!(a[e+156>>0]|0)){n=10;break}if(Zi(d,j)|0){n=9;break}}if((n|0)==9){e=c[g>>2]|0;n=10}if((n|0)==10){n=0;Mi(j,c[(c[o>>2]|0)+256>>2]|0,+h[e+96>>3]+m,0)|0}f=(c[(c[(c[o>>2]|0)+196>>2]|0)+(k<<6)>>2]|0)+(c[(c[i>>2]|0)+236>>2]|0)|0;while(1){if((f|0)>=(c[(c[(c[(Vf(d)|0)+16>>2]|0)+196>>2]|0)+(k<<6)>>2]|0))break a;i=c[(c[(c[(c[(Vf(d)|0)+16>>2]|0)+196>>2]|0)+(k<<6)+4>>2]|0)+(f<<2)>>2]|0;g=i+16|0;e=c[g>>2]|0;if(!(a[e+156>>0]|0))break;if(!(Zi(d,i)|0))f=f+1|0;else{n=15;break}}if((n|0)==15){n=0;e=c[g>>2]|0}Mi(c[(c[o>>2]|0)+260>>2]|0,i,+h[e+88>>3]+m,0)|0}while(0);k=k+1|0;e=c[o>>2]|0}while(1){if((f|0)>(c[e+180>>2]|0))break;Wi(c[(c[e+184>>2]|0)+(f<<2)>>2]|0);f=f+1|0;e=c[o>>2]|0}return}function Xi(a){a=a|0;var b=0,d=0.0,e=0,f=0,g=0;e=DA(a,c[42188]|0,8,0)|0;Ui(a);b=a+16|0;d=+(e|0);a=1;while(1){e=c[b>>2]|0;if((a|0)>(c[e+180>>2]|0))break;e=c[(c[e+184>>2]|0)+(a<<2)>>2]|0;Ui(e);f=c[b>>2]|0;g=e+16|0;Mi(c[f+256>>2]|0,c[(c[g>>2]|0)+256>>2]|0,+h[f+96>>3]+d,0)|0;f=c[b>>2]|0;Mi(c[(c[g>>2]|0)+260>>2]|0,c[f+260>>2]|0,+h[f+64>>3]+d,0)|0;Xi(e);a=a+1|0}return}function Yi(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0.0,n=0,o=0;d=DA(a,c[42188]|0,8,0)|0;n=a+16|0;a=1;while(1){f=c[n>>2]|0;e=c[f+180>>2]|0;if((a|0)>(e|0))break;Ui(c[(c[f+184>>2]|0)+(a<<2)>>2]|0);a=a+1|0}m=+(d|0);l=1;a=e;d=f;while(1){if((l|0)>(a|0))break;k=l+1|0;j=k;while(1){e=c[d+184>>2]|0;f=c[e+(l<<2)>>2]|0;if((j|0)>(a|0))break;e=c[e+(j<<2)>>2]|0;g=(b[(c[f+16>>2]|0)+236>>1]|0)>(b[(c[e+16>>2]|0)+236>>1]|0);i=g?e:f;e=g?f:e;f=c[i+16>>2]|0;g=c[e+16>>2]|0;o=b[g+236>>1]|0;h=o<<16>>16;if((b[f+238>>1]|0)>=o<<16>>16){a=(c[(c[(c[c[(c[f+196>>2]|0)+(h<<6)+4>>2]>>2]|0)+16>>2]|0)+236>>2]|0)<(c[(c[(c[c[(c[g+196>>2]|0)+(h<<6)+4>>2]>>2]|0)+16>>2]|0)+236>>2]|0);Mi(c[(c[(a?i:e)+16>>2]|0)+260>>2]|0,c[(c[(a?e:i)+16>>2]|0)+256>>2]|0,m,0)|0;a=c[n>>2]|0;d=a;a=c[a+180>>2]|0}j=j+1|0}Yi(f);d=c[n>>2]|0;l=k;a=c[d+180>>2]|0}return}function Zi(b,d){b=b|0;d=d|0;var e=0;d=c[d+16>>2]|0;if((a[d+156>>0]|0)==1){d=c[c[d+256>>2]>>2]|0;while(1){e=c[(c[d+16>>2]|0)+116>>2]|0;if(!e)break;else d=e}if(!(Bo(b,c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0)|0))d=(Bo(b,c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)|0)==0&1;else d=0}else d=0;return d|0}function _i(a,b){a=a|0;b=b|0;return $i(a,b)|0}function $i(a,b){a=a|0;b=b|0;var d=0,e=0;a:do if((a|0)==(b|0))a=1;else{d=c[(c[a+16>>2]|0)+180>>2]|0;a=0;while(1){e=c[d+(a<<2)>>2]|0;if(!e){a=0;break a}if(!($i(c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0,b)|0))a=a+1|0;else{a=1;break}}}while(0);return a|0}function aj(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=d+16|0;d=c[k>>2]|0;j=b[d+236>>1]|0;while(1){if((j|0)>(b[d+238>>1]|0))break;h=c[d+196>>2]|0;g=c[h+(j<<6)>>2]|0;h=h+(j<<6)+4|0;i=0;f=0;while(1){if((f|0)>=(g|0))break;e=c[(c[(c[h>>2]|0)+(f<<2)>>2]|0)+16>>2]|0;c[e+236>>2]=i;if((a[e+159>>0]|0)==6)e=c[e+216>>2]|0;else e=1;i=e+i|0;f=f+1|0}if((i|0)>(g|0)){d=c[h>>2]|0;if(!d)d=ww((i<<2)+4|0)|0;else d=yw(d,(i<<2)+4|0)|0;f=c[(c[k>>2]|0)+196>>2]|0;c[f+(j<<6)+4>>2]=d;e=c[f+(j<<6)>>2]|0;while(1){d=e+-1|0;if((e|0)<=0)break;h=c[f+(j<<6)+4>>2]|0;e=c[h+(d<<2)>>2]|0;c[h+(c[(c[e+16>>2]|0)+236>>2]<<2)>>2]=e;e=d;f=c[(c[k>>2]|0)+196>>2]|0}c[f+(j<<6)>>2]=i;c[(c[f+(j<<6)+4>>2]|0)+(i<<2)>>2]=0;d=c[k>>2]|0}j=j+1|0}return}function bj(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;o=l;l=l+48|0;n=o+32|0;m=o+8|0;d=o+24|0;k=o+16|0;j=o;e=b+16|0;f=c[e>>2]|0;a:do if((c[f+216>>2]|0)>=2){c[m>>2]=~~(+h[f+16>>3]-+h[f+88>>3]);c[m+4>>2]=~~+h[f+24>>3];c[n>>2]=c[m>>2];c[n+4>>2]=c[m+4>>2];cj(d,b,n);g=d;i=c[g+4>>2]|0;d=m;c[d>>2]=c[g>>2];c[d+4>>2]=i;d=c[e>>2]|0;if((c[d+184>>2]|0)>0){j=c[c[d+180>>2]>>2]|0;d=(c[d+236>>2]|0)+1|0;j=Sm(a,c[((c[j>>2]&3|0)==2?j:j+-48|0)+40>>2]|0)|0;while(1){if(!j)break a;i=(c[j>>2]&3|0)==2?j:j+-48|0;e=i+48|0;f=c[((c[i>>2]&3|0)==3?i:e)+40>>2]|0;if((f|0)!=(b|0)?(KA(f)|0)==(b|0):0){f=c[((c[i>>2]&3|0)==3?i:e)+40>>2]|0;c[n>>2]=c[m>>2];c[n+4>>2]=c[m+4>>2];dj(k,a,f,n,d);f=k;e=c[f+4>>2]|0;g=m;c[g>>2]=c[f>>2];c[g+4>>2]=e;kh(i);g=i+-48|0;e=c[(c[((c[i>>2]&3|0)==2?i:g)+40>>2]|0)+16>>2]|0;f=c[e+172>>2]|0;if(!f)e=ww((c[e+176>>2]<<2)+8|0)|0;else e=yw(f,(c[e+176>>2]<<2)+8|0)|0;c[(c[(c[((c[i>>2]&3|0)==2?i:g)+40>>2]|0)+16>>2]|0)+172>>2]=e;p=c[(c[((c[i>>2]&3|0)==2?i:g)+40>>2]|0)+16>>2]|0;e=c[p+172>>2]|0;p=p+176|0;f=c[p>>2]|0;c[p>>2]=f+1;c[e+(f<<2)>>2]=i;i=c[(c[((c[i>>2]&3|0)==2?i:g)+40>>2]|0)+16>>2]|0;c[(c[i+172>>2]|0)+(c[i+176>>2]<<2)>>2]=0;d=d+1|0}j=Tm(a,j)|0}}else{i=c[c[d+172>>2]>>2]|0;d=(c[d+236>>2]|0)+1|0;i=Pm(a,c[((c[i>>2]&3|0)==3?i:i+48|0)+40>>2]|0)|0;while(1){if(!i)break a;e=i+-48|0;f=c[((c[i>>2]&3|0)==2?i:e)+40>>2]|0;if((f|0)!=(b|0)?(KA(f)|0)==(b|0):0){f=c[((c[i>>2]&3|0)==2?i:e)+40>>2]|0;c[n>>2]=c[m>>2];c[n+4>>2]=c[m+4>>2];dj(j,a,f,n,d);f=j;e=c[f+4>>2]|0;g=m;c[g>>2]=c[f>>2];c[g+4>>2]=e;kh(i);g=i+48|0;e=c[(c[((c[i>>2]&3|0)==3?i:g)+40>>2]|0)+16>>2]|0;f=c[e+180>>2]|0;if(!f)e=ww((c[e+184>>2]<<2)+8|0)|0;else e=yw(f,(c[e+184>>2]<<2)+8|0)|0;c[(c[(c[((c[i>>2]&3|0)==3?i:g)+40>>2]|0)+16>>2]|0)+180>>2]=e;f=c[(c[((c[i>>2]&3|0)==3?i:g)+40>>2]|0)+16>>2]|0;k=c[f+180>>2]|0;f=f+184|0;p=c[f>>2]|0;c[f>>2]=p+1;c[k+(p<<2)>>2]=i;p=c[(c[((c[i>>2]&3|0)==3?i:g)+40>>2]|0)+16>>2]|0;c[(c[p+180>>2]|0)+(c[p+184>>2]<<2)>>2]=0;d=d+1|0}i=Rm(a,i)|0}}}while(0);l=o;return}function cj(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0.0;KB(b,c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&1);e=c[b+16>>2]|0;h[e+24>>3]=+(c[d+4>>2]|0);f=+h[e+88>>3]+ +(c[d>>2]|0);h[e+16>>3]=f;f=f+ +h[e+96>>3];c[d>>2]=~~(f+ +(c[(c[(ro(b)|0)+16>>2]|0)+248>>2]|0));e=d;b=c[e+4>>2]|0;d=a;c[d>>2]=c[e>>2];c[d+4>>2]=b;return}function dj(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0;i=l;l=l+16|0;h=i;b=Vf(b)|0;g=KA(d)|0;if((g|0)!=(d|0))ch(g,d);j=c[d+16>>2]|0;c[j+236>>2]=f;g=c[(c[g+16>>2]|0)+232>>2]|0;c[j+232>>2]=g;c[(c[(c[(c[b+16>>2]|0)+196>>2]|0)+(g<<6)+4>>2]|0)+(f<<2)>>2]=d;c[h>>2]=c[e>>2];c[h+4>>2]=c[e+4>>2];cj(a,d,h);l=i;return}function ej(a){a=a|0;var d=0.0,e=0.0,f=0,g=0,i=0,j=0.0,k=0,l=0,m=0,n=0.0;m=c[(c[(Vf(a)|0)+16>>2]|0)+196>>2]|0;if((Vf(a)|0)==(a|0))j=8.0;else j=+(DA(a,c[42188]|0,8,0)|0);l=a+16|0;g=c[l>>2]|0;f=0;k=1;e=+h[g+120>>3];d=+h[g+128>>3];while(1){if((k|0)>(c[g+180>>2]|0))break;i=c[(c[g+184>>2]|0)+(k<<2)>>2]|0;f=ej(i)|0|f;i=c[i+16>>2]|0;g=c[l>>2]|0;if((b[i+238>>1]|0)==(b[g+238>>1]|0)){n=+h[i+120>>3]+j;e=e>n?e:n}if((b[i+236>>1]|0)==(b[g+236>>1]|0)){n=+h[i+128>>3]+j;d=d>n?d:n}k=k+1|0}if((Vf(a)|0)!=(a|0)?(c[(c[l>>2]|0)+12>>2]|0)!=0:0)if(!(c[(c[(so(a)|0)+16>>2]|0)+116>>2]&1)){k=c[l>>2]|0;f=1;e=+h[k+56>>3]+e;d=+h[k+88>>3]+d}else f=1;k=c[l>>2]|0;h[k+120>>3]=e;h[k+128>>3]=d;if((Vf(a)|0)!=(a|0)){l=c[l>>2]|0;a=m+(b[l+236>>1]<<6)+24|0;n=+h[a>>3];h[a>>3]=n>d?n:d;m=m+(b[l+238>>1]<<6)+16|0;n=+h[m>>3];h[m>>3]=n>e?n:e}return f|0}function fj(a,d){a=a|0;d=d|0;var e=0,f=0.0,g=0.0,i=0,j=0,k=0.0,l=0,m=0,n=0,o=0,p=0.0,q=0.0;o=c[(c[(Vf(a)|0)+16>>2]|0)+196>>2]|0;if((Vf(a)|0)==(a|0))e=0;else e=DA(a,c[42188]|0,8,0)|0;l=a+16|0;i=c[l>>2]|0;m=e+d|0;k=+(e|0);j=1;f=+h[i+128>>3];g=+h[i+120>>3];e=i;while(1){if((j|0)>(c[e+180>>2]|0))break;i=c[(c[e+184>>2]|0)+(j<<2)>>2]|0;fj(i,m);i=c[i+16>>2]|0;e=c[l>>2]|0;if((b[i+238>>1]|0)==(b[e+238>>1]|0)){q=+h[i+120>>3]+k;g=g>q?g:q}if((b[i+236>>1]|0)==(b[e+236>>1]|0)){q=+h[i+128>>3]+k;f=f>q?f:q}j=j+1|0}h[e+120>>3]=g;h[e+128>>3]=f;if(((Vf(a)|0)!=(a|0)?(n=c[l>>2]|0,c[n+12>>2]|0):0)?(p=-g-f+ +h[n+48+((+h[n+104>>3]>+h[n+72>>3]?3:1)<<4)+8>>3]-+h[(c[(c[c[o+(b[n+236>>1]<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]+ +h[(c[(c[c[o+(b[n+238>>1]<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3],p>0.0):0)gj(a,~~p,d);if((Vf(a)|0)!=(a|0)){n=c[l>>2]|0;m=o+(b[n+236>>1]<<6)+24|0;q=+h[m>>3];p=+h[n+128>>3];h[m>>3]=q>p?q:p;o=o+(b[n+238>>1]<<6)+16|0;p=+h[o>>3];q=+h[n+120>>3];h[o>>3]=p>q?p:q}return}function gj(a,d,e){a=a|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0.0,k=0,l=0,m=0,n=0.0,o=0.0,p=0,q=0,r=0;k=c[(Vf(a)|0)+16>>2]|0;q=c[k+196>>2]|0;p=c[a+16>>2]|0;a=b[p+238>>1]|0;f=b[p+236>>1]|0;l=(d+1|0)/2|0;m=p+120|0;n=+h[m>>3];o=+(l|0);i=+(e|0);e=~~(o+i+n-+h[q+(a<<6)+16>>3]);if((e|0)>0){g=+(e|0);while(1){if((a|0)<(f|0))break;if((c[q+(a<<6)>>2]|0)>0){r=(c[(c[c[q+(a<<6)+4>>2]>>2]|0)+16>>2]|0)+24|0;h[r>>3]=+h[r>>3]+g}a=a+-1|0}j=+h[p+128>>3];a=e;g=j+ +(d-l|0)}else{j=+h[p+128>>3];a=d-l|0;g=j}a=~~(+(a|0)+i+g-+h[q+(f<<6)+24>>3]);a:do if((a|0)>0){e=b[k+236>>1]|0;g=+(a|0);while(1){a=f+-1|0;if((f|0)<=(e|0))break a;if((c[q+(a<<6)>>2]|0)<=0){f=a;continue}f=(c[(c[c[q+(a<<6)+4>>2]>>2]|0)+16>>2]|0)+24|0;h[f>>3]=+h[f>>3]+g;f=a}}while(0);h[p+128>>3]=j+ +(d-l|0);h[m>>3]=n+o;return}function hj(b,d){b=b|0;d=d|0;var e=0,f=0;e=c[b+16>>2]|0;f=a[e+84>>0]|0;b=c[d+16>>2]|0;do if(f<<24>>24==(a[b+84>>0]|0)){if(+h[e+56>>3]==+h[b+56>>3]){if(!(f<<24>>24==0?1:+h[e+64>>3]==+h[b+64>>3])){b=0;break}}else if(f<<24>>24){b=0;break}if(+h[e+16>>3]==+h[b+16>>3]?+h[e+24>>3]==+h[b+24>>3]:0){b=1;break}b=(a[e+44>>0]|0)==0&1}else b=0;while(0);return b|0}function ij(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=a+16|0;d=c[i>>2]|0;b[d+236>>1]=32767;b[d+238>>1]=-1;d=0;h=co(a)|0;while(1){e=c[i>>2]|0;if(!h)break;f=e+238|0;g=c[(c[h+16>>2]|0)+232>>2]|0;if((g|0)>(b[f>>1]|0))b[f>>1]=g;e=e+236|0;if((g|0)<(b[e>>1]|0))b[e>>1]=g;if(!d)d=h;else d=(g|0)<(c[(c[d+16>>2]|0)+232>>2]|0)?h:d;h=eo(a,h)|0}c[e+264>>2]=d;return}function jj(a){a=a|0;var b=0,d=0,e=0,f=0,g=0.0;b=Im(a,79821)|0;if(!b)b=2147483647;else{g=+sM(b);b=~~(g*+(mn(a)|0))}e=a+16|0;d=0;while(1){f=c[e>>2]|0;if((d|0)>=(c[f+220>>2]|0))break;c[f+192>>2]=c[(c[f+216>>2]|0)+(d<<2)>>2];gx(a,(c[f+180>>2]|0)==0&1,b)|0;d=d+1|0}return}function kj(a,d){a=a|0;d=d|0;var e=0,f=0,g=0;f=l;l=l+16|0;e=f;if(!(Im(a,79830)|0))mj(a,d);else{g=(c[a+16>>2]|0)+136|0;b[g>>1]=b[g>>1]|16;lj(a,d)}if(0){g=c[13918]|0;a=c[a+16>>2]|0;d=b[a+236>>1]|0;c[e>>2]=b[a+238>>1];c[e+4>>2]=d;zL(g,79838,e)|0}l=f;return}function lj(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0.0;i=l;l=l+16|0;h=i;c[41933]=0;a[h>>0]=a[17644]|0;a[h+1>>0]=a[17645]|0;a[h+2>>0]=a[17646]|0;a[h+3>>0]=a[17647]|0;h=gn(80048,h,0)|0;No(h,80077,280,1)|0;zo(h,17332,17272);nj(b);e=Im(b,79821)|0;if(!e)f=2147483647;else{j=+sM(e);f=~~(j*+(mn(b)|0))}Dj(b,0);Ej(b,h);Fj(b,h);Gj(b,h,0,0);Hj(h);g=Ij(h)|0;Jj(h);if(d|0){xk(h);lk(h)}e=Im(b,87620)|0;if(!e)e=-1;else e=rM(e)|0;zw(h,1,f,e)|0;Kj(b,h,g);ln(h)|0;l=i;return}function mj(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;g=l;l=l+32|0;f=g+16|0;e=g+8|0;d=g;nj(a);do if(!b){oj(a,a);Ak(a);pj(d,a);h=d;d=c[h+4>>2]|0;b=e;c[b>>2]=c[h>>2];c[b+4>>2]=d;tl(a,0);b=0}else{xk(a);lk(a);oj(a,a);Ak(a);pj(d,a);i=d;d=c[i+4>>2]|0;h=e;c[h>>2]=c[i>>2];c[h+4>>2]=d;tl(a,0);h=c[a+16>>2]|0;if((c[h+220>>2]|0)<=1?(c[h+180>>2]|0)<=0:0)break;c[b+32>>2]=1;b=0}while(0);ik(a);c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];if(qj(a,f)|0)tl(a,0);if(!b)jj(a);else mk(a,b);rj(a,b);sj(a);l=g;return}function nj(d){d=d|0;var f=0,g=0,h=0;if(a[(c[(c[d+60>>2]|0)+16>>2]|0)+113>>0]&1){g=co(d)|0;while(1){if(!g)break;f=Pm(d,g)|0;while(1){if(!f)break;h=(c[f+16>>2]|0)+170|0;b[h>>1]=(e[h>>1]|0)<<1;f=Rm(d,f)|0}g=eo(d,g)|0}h=(c[d+16>>2]|0)+252|0;c[h>>2]=((c[h>>2]|0)+1|0)/2|0}return}function oj(a,b){a=a|0;b=b|0;var d=0;b=Jp(b)|0;while(1){if(!b)break;d=Aj(b)|0;do if(d)if((d|0)==7&(c[42179]|0)==100){wj(a,b);break}else{Bj(a,b,d);break}else oj(a,b);while(0);b=Kp(b)|0}return}function pj(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;i=d+16|0;e=c[i>>2]|0;d=c[e+228>>2]|0;e=c[e+224>>2]|0;f=(e|0)==0;if(!d)if(f){j=0;k=0}else g=4;else if(f)g=5;else g=4;if((g|0)==4){d=KA(e)|0;e=c[i>>2]|0;c[e+224>>2]=d;d=c[e+228>>2]|0;if(!d){h=0;d=e;g=12}else g=5}do if((g|0)==5){d=KA(d)|0;e=c[i>>2]|0;c[e+228>>2]=d;if(d){e=d+16|0;d=c[e>>2]|0;f=(a[d+159>>0]|0)==5&1;while(1){d=c[c[d+180>>2]>>2]|0;if(!d){g=11;break}h=c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0;if((h|0)!=(KA(h)|0)){g=9;break}hk(d);d=c[e>>2]|0}if((g|0)==9)ma(79941,79881,346,79973);else if((g|0)==11){h=f;d=c[i>>2]|0;g=12;break}}else{h=0;d=e;g=12}}while(0);a:do if((g|0)==12){d=c[d+224>>2]|0;if(!d){j=0;k=h}else{e=d+16|0;d=c[e>>2]|0;f=(a[d+159>>0]|0)==3&1;while(1){d=c[c[d+172>>2]>>2]|0;if(!d){j=f;k=h;break a}i=c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0;if((i|0)!=(KA(i)|0))break;hk(d);d=c[e>>2]|0}ma(79986,79881,353,79973)}}while(0);c[b>>2]=j;c[b+4>>2]=k;return}function qj(a,d){a=a|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0;j=a+16|0;i=c[j>>2]|0;if((c[i+228>>2]|0)==0?(c[i+224>>2]|0)==0:0)d=0;else e=3;a:do if((e|0)==3){g=co(a)|0;i=d+4|0;h=c[d>>2]&65535;d=0;while(1){if(!g)break a;if((g|0)==(KA(g)|0)){f=g+16|0;e=c[f>>2]|0;if((c[e+184>>2]|0)==0?(k=c[(c[j>>2]|0)+228>>2]|0,!((k|0)==0|(g|0)==(k|0))):0){d=ah(g,k,0)|0;e=c[d+16>>2]|0;b[e+170>>1]=c[i>>2];c[e+156>>2]=0;e=c[f>>2]|0}if((c[e+176>>2]|0)==0?(l=c[(c[j>>2]|0)+224>>2]|0,!((l|0)==0|(g|0)==(l|0))):0){d=ah(l,g,0)|0;f=c[d+16>>2]|0;b[f+170>>1]=h;c[f+156>>2]=0}}g=eo(a,g)|0}}while(0);return (d|0)!=0|0}function rj(d,e){d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;g=co(d)|0;k=d+16|0;f=c[k>>2]|0;a:do if(g){b[f+236>>1]=32767;b[f+238>>1]=-1;j=(e|0)==0;while(1){if(!g)break;f=KA(g)|0;i=c[g+16>>2]|0;e=c[i+232>>2]|0;do if((f|0)!=(g|0)){if(!j)if(!e)e=0;else break;e=e+(c[(c[f+16>>2]|0)+232>>2]|0)|0;c[i+232>>2]=e}while(0);f=c[k>>2]|0;h=f+238|0;if((e|0)>(b[h>>1]|0))b[h>>1]=e;f=f+236|0;if((e|0)<(b[f>>1]|0))b[f>>1]=e;switch(a[i+159>>0]|0){case 6:case 0:break;default:MA(g)}g=eo(d,g)|0}if((Vf(d)|0)==(d|0)){if((c[42179]|0)==100)e=1;else{vj(d);break}while(1){f=c[k>>2]|0;if((e|0)>(c[f+180>>2]|0))break a;uj(c[(c[f+184>>2]|0)+(e<<2)>>2]|0);e=e+1|0}}}else{b[f+238>>1]=0;b[f+236>>1]=0}while(0);return}function sj(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;j=b+16|0;e=0;while(1){d=c[j>>2]|0;if((e|0)>=(c[d+220>>2]|0))break;i=c[(c[d+216>>2]|0)+(e<<2)>>2]|0;c[d+192>>2]=i;d=i;while(1){if(!d)break;i=d+16|0;tj((c[i>>2]|0)+172|0);tj((c[i>>2]|0)+180|0);i=c[i>>2]|0;a[i+157>>0]=0;d=c[i+164>>2]|0}e=e+1|0}i=co(b)|0;while(1){if(!i)break;h=Pm(b,i)|0;while(1){if(!h)break;f=h+16|0;d=c[f>>2]|0;g=c[d+172>>2]|0;if((g|0)!=0?(k=g+16|0,(h|0)==(c[(c[k>>2]|0)+116>>2]|0)):0){d=co(b)|0;while(1){if(!d)break;e=Pm(b,d)|0;while(1){if(!e)break;if((h|0)!=(e|0)?(l=(c[e+16>>2]|0)+172|0,m=c[l>>2]|0,(m|0)!=0&(g|0)==(m|0)):0)c[l>>2]=0;e=Rm(b,e)|0}d=eo(b,d)|0}_I(c[k>>2]|0);_I(g);d=c[f>>2]|0}c[d+172>>2]=0;h=Rm(b,h)|0}i=eo(b,i)|0}_I(c[(c[j>>2]|0)+216>>2]|0);m=c[j>>2]|0;c[m+216>>2]=0;c[m+220>>2]=0;return}function tj(a){a=a|0;var b=0,d=0;d=a+4|0;b=c[d>>2]|0;while(1){if((b|0)<=-1)break;c[(c[a>>2]|0)+(b<<2)>>2]=0;b=b+-1|0}c[d>>2]=0;return}function uj(a){a=a|0;var d=0,f=0,g=0;d=a+16|0;f=c[d>>2]|0;g=c[(c[(c[f+264>>2]|0)+16>>2]|0)+232>>2]|0;a=f+236|0;b[a>>1]=g+(e[a>>1]|0);a=f+238|0;b[a>>1]=g+(e[a>>1]|0);a=1;while(1){if((a|0)>(c[f+180>>2]|0))break;uj(c[(c[f+184>>2]|0)+(a<<2)>>2]|0);a=a+1|0;f=c[d>>2]|0}return}function vj(b){b=b|0;var d=0;d=Jp(Vf(b)|0)|0;while(1){if(!d)break;if((a[(c[d+16>>2]|0)+274>>0]|0)==7)wj(b,d);d=Kp(d)|0}return}function wj(a,b){a=a|0;b=b|0;var d=0;d=(c[b+16>>2]|0)+200|0;do if((c[d>>2]|0)==0?(c[d>>2]=a,xj(a,b),co(b)|0):0){yj(a,b);if((c[42179]|0)==100){mj(b,0);zj(b);break}else{ij(b);break}}while(0);return}function xj(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;h=b+16|0;g=co(d)|0;while(1){if(!g)break;i=eo(d,g)|0;j=g+16|0;if(!(a[(c[j>>2]|0)+159>>0]|0))f=1;else{qo(d,g)|0;g=i;continue}while(1){e=c[h>>2]|0;b=c[e+180>>2]|0;if((f|0)>=(b|0))break;if(Bo(c[(c[e+184>>2]|0)+(f<<2)>>2]|0,g)|0){k=7;break}f=f+1|0}if((k|0)==7){k=0;b=c[(c[h>>2]|0)+180>>2]|0}if((f|0)<(b|0))qo(d,g)|0;c[(c[j>>2]|0)+212>>2]=0;g=i}e=co(d)|0;while(1){if(!e)break;b=Pm(Vf(d)|0,e)|0;while(1){if(!b)break;if(Bo(d,c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0)en(d,b,1)|0;b=Rm(Vf(d)|0,b)|0}e=eo(d,e)|0}return}function yj(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;e=a+16|0;d=c[e>>2]|0;g=d+180|0;a=c[g>>2]|0;f=a+1|0;c[g>>2]=f;d=c[d+184>>2]|0;if(!d)a=vw((a<<2)+8|0)|0;else a=xw(d,a+2|0,4,f)|0;c[(c[e>>2]|0)+184>>2]=a;c[a+(f<<2)>>2]=b;hw(b);return}function zj(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;g=c[b+16>>2]|0;d=g+192|0;h=0;while(1){d=c[d>>2]|0;if(!d)break;f=c[d+16>>2]|0;if(!(c[f+232>>2]|0))e=(a[f+156>>0]|0)==0?d:h;else e=h;d=f+164|0;h=e}if(!h)ma(79866,79881,238,79888);c[g+264>>2]=h;d=co(b)|0;while(1){if(!d){d=13;break}e=d+16|0;if(!((d|0)==(h|0)?1:(c[(c[e>>2]|0)+216>>2]|0)<2)){d=11;break}LA(d,h)|0;a[(c[e>>2]|0)+159>>0]=7;d=eo(b,d)|0}if((d|0)==11)ma(79903,79881,242,79888);else if((d|0)==13)return}function Aj(b){b=b|0;var d=0;if(!(Cj(b)|0)){d=UA(Im(b,80018)|0,17284,17308)|0;a[(c[b+16>>2]|0)+274>>0]=d;b=d}else b=7;return b|0}function Bj(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;g=co(d)|0;a:do if(g|0){j=e&255;i=g+16|0;f=g;h=j;while(1){a[(c[f+16>>2]|0)+159>>0]=h;f=eo(d,f)|0;if(!f)break;LA(g,f)|0;h=a[(c[i>>2]|0)+159>>0]|0}switch(e|0){case 3:case 2:{b=b+16|0;f=c[b>>2]|0;h=c[f+224>>2]|0;if(h){g=LA(h,g)|0;f=c[b>>2]|0}c[f+224>>2]=g;break}case 5:case 4:{b=b+16|0;f=c[b>>2]|0;h=c[f+228>>2]|0;if(h){g=LA(h,g)|0;f=c[b>>2]|0}c[f+228>>2]=g;break}default:break a}switch(e|0){case 3:{f=f+224|0;break}case 5:{f=f+228|0;break}default:break a}a[(c[(c[f>>2]|0)+16>>2]|0)+159>>0]=j}while(0);return}function Cj(a){a=a|0;return (VJ(Dn(a)|0,93039,7)|0)==0|0}function Dj(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+16|0;g=m;if(!(Yj(b)|0)){do if(hB(b)|0)if(!d){c[(c[b+16>>2]|0)+204>>2]=0;d=b;break}else{c[(c[b+16>>2]|0)+204>>2]=(c[(c[d+16>>2]|0)+204>>2]|0)+1;Zj(b,d);d=b;break}while(0);e=Jp(b)|0;while(1){if(!e)break;Dj(e,d);e=Kp(e)|0}a:do if(hB(b)|0){e=co(b)|0;while(1){if(!e)break a;f=(c[e+16>>2]|0)+212|0;if(!(c[f>>2]|0))c[f>>2]=b;e=eo(b,e)|0}}while(0);switch(_j(b)|0){case 3:{d=d+16|0;a[(c[d>>2]|0)+241>>0]=1;k=19;break}case 2:{d=d+16|0;k=19;break}case 5:{d=d+16|0;a[(c[d>>2]|0)+242>>0]=1;k=21;break}case 4:{d=d+16|0;k=21;break}case 1:{$j(b)|0;break}case 6:break;default:{e=Dn(b)|0;f=Im(b,80018)|0;c[g>>2]=e;c[g+4>>2]=f;_l(0,80201,g)|0}}if((k|0)==19){k=$j(b)|0;k=ak(k,c[(c[d>>2]|0)+208>>2]|0)|0;c[(c[d>>2]|0)+208>>2]=k}else if((k|0)==21){k=$j(b)|0;k=ak(k,c[(c[d>>2]|0)+212>>2]|0)|0;c[(c[d>>2]|0)+212>>2]=k}if((hB(b)|0?(h=b+16|0,i=c[h>>2]|0,j=c[i+208>>2]|0,j|0):0)?(j|0)==(c[i+212>>2]|0):0){j=$j(b)|0;k=c[h>>2]|0;c[k+208>>2]=j;c[k+212>>2]=j}}l=m;return}function Ej(a,b){a=a|0;b=b|0;var d=0,e=0;c[41933]=0;d=co(a)|0;while(1){if(!d)break;if((Lj(d)|0)==(d|0)){e=Oj(b,Dn(d)|0)|0;c[(c[d+16>>2]|0)+148>>2]=e}d=eo(a,d)|0}d=co(a)|0;while(1){if(!d)break;b=d+16|0;if(!(c[(c[b>>2]|0)+148>>2]|0)){e=c[(c[(Lj(d)|0)+16>>2]|0)+148>>2]|0;c[(c[b>>2]|0)+148>>2]=e}d=eo(a,d)|0}return}function Fj(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;h=co(a)|0;while(1){if(!h)break;d=c[(c[h+16>>2]|0)+148>>2]|0;i=Pm(a,h)|0;while(1){if(!i)break;do if((Tj(i)|0)==0?(j=i+-48|0,k=c[(c[(Lj(c[((c[i>>2]&3|0)==2?i:j)+40>>2]|0)|0)+16>>2]|0)+148>>2]|0,(d|0)!=(k|0)):0){f=c[i>>2]&3;g=i+48|0;e=((f|0)==3?i:g)+40|0;f=c[(c[(c[((f|0)==2?i:j)+40>>2]|0)+16>>2]|0)+212>>2]|0;if(!(Uj(i)|0)){if((Sj(c[(c[(c[e>>2]|0)+16>>2]|0)+212>>2]|0)|0)==0?(Sj(f)|0)==0:0){Vj(b,d,k,i);break}Wj(b,d,k,i);break}else{f=Lj(c[e>>2]|0)|0;e=c[i>>2]&3;if((f|0)!=(c[(c[(c[(c[(c[((e|0)==3?i:g)+40>>2]|0)+16>>2]|0)+212>>2]|0)+16>>2]|0)+212>>2]|0)?(g=Lj(c[((e|0)==2?i:j)+40>>2]|0)|0,(g|0)!=(c[(c[(c[(c[(c[((c[i>>2]&3|0)==2?i:j)+40>>2]|0)+16>>2]|0)+212>>2]|0)+16>>2]|0)+208>>2]|0)):0)e=k;else{e=d;d=k}Vj(b,d,e,i);break}}while(0);i=Rm(a,i)|0}h=eo(a,h)|0}return}function Gj(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;if((hB(a)|0)!=0?(Sj(a)|0)!=0:0){g=co(a)|0;while(1){if(!g)break;if(!(Sm(a,g)|0)){f=c[(c[(Lj(g)|0)+16>>2]|0)+148>>2]|0;if(!d)d=Oj(b,80099)|0;an(b,d,f,0,1)|0}if(!(Pm(a,g)|0)){f=c[(c[(Lj(g)|0)+16>>2]|0)+148>>2]|0;if(!e)e=Oj(b,80104)|0;an(b,f,e,0,1)|0}g=eo(a,g)|0}if((e|0)!=0&(d|0)!=0){Rj(an(b,d,e,0,1)|0,0,1e3);f=d}else f=d}else f=d;d=Jp(a)|0;while(1){if(!d)break;Gj(d,b,f,e);d=Kp(d)|0}return}function Hj(b){b=b|0;var d=0,e=0;d=co(b)|0;while(1){if(!d)break;e=c[d+16>>2]|0;a[e+158>>0]=0;a[e+157>>0]=0;d=eo(b,d)|0}d=co(b)|0;while(1){if(!d)break;Pj(b,d);d=eo(b,d)|0}return}function Ij(a){a=a|0;var b=0,d=0,e=0,f=0;b=co(a)|0;while(1){if(!b)break;c[(c[b+16>>2]|0)+128>>2]=0;b=eo(a,b)|0}b=0;e=co(a)|0;while(1){if(!e)break;d=b+1|0;if(!(c[(c[e+16>>2]|0)+128>>2]|0)){Nj(a,e,d);b=d}e=eo(a,e)|0}a:do if((b|0)>1){f=Oj(a,80093)|0;d=1;e=co(a)|0;while(1){if(!e)break a;if((c[(c[e+16>>2]|0)+128>>2]|0)==(d|0)){an(a,f,e,0,1)|0;d=d+1|0}e=eo(a,e)|0}}while(0);return b|0}function Jj(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0;g=co(a)|0;while(1){if(!g)break;h=g+16|0;f=Pm(a,g)|0;while(1){if(!f)break;b=c[h>>2]|0;d=c[b+180>>2]|0;if(!d)b=ww((c[b+184>>2]<<2)+8|0)|0;else b=yw(d,(c[b+184>>2]<<2)+8|0)|0;d=c[h>>2]|0;c[d+180>>2]=b;d=d+184|0;e=c[d>>2]|0;c[d>>2]=e+1;c[b+(e<<2)>>2]=f;e=c[h>>2]|0;c[(c[e+180>>2]|0)+(c[e+184>>2]<<2)>>2]=0;e=f+-48|0;b=c[(c[((c[f>>2]&3|0)==2?f:e)+40>>2]|0)+16>>2]|0;d=c[b+172>>2]|0;if(!d)b=ww((c[b+176>>2]<<2)+8|0)|0;else b=yw(d,(c[b+176>>2]<<2)+8|0)|0;c[(c[(c[((c[f>>2]&3|0)==2?f:e)+40>>2]|0)+16>>2]|0)+172>>2]=b;i=c[(c[((c[f>>2]&3|0)==2?f:e)+40>>2]|0)+16>>2]|0;b=c[i+172>>2]|0;i=i+176|0;d=c[i>>2]|0;c[i>>2]=d+1;c[b+(d<<2)>>2]=f;e=c[(c[((c[f>>2]&3|0)==2?f:e)+40>>2]|0)+16>>2]|0;c[(c[e+172>>2]|0)+(c[e+176>>2]<<2)>>2]=0;f=Rm(a,f)|0}g=eo(a,g)|0}return}function Kj(a,d,f){a=a|0;d=d|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;n=a+16|0;o=c[n>>2]|0;b[o+236>>1]=32767;b[o+238>>1]=-1;a:do if((f|0)>1){h=vw((f<<2)+4|0)|0;g=f+1|0;f=1;while(1){if((f|0)==(g|0)){m=h;o=h;break a}c[h+(f<<2)>>2]=32767;f=f+1|0}}else{m=0;o=0}while(0);i=(m|0)==0;h=co(a)|0;while(1){if(!h)break;j=c[(c[(c[(Lj(h)|0)+16>>2]|0)+148>>2]|0)+16>>2]|0;k=c[j+232>>2]|0;l=c[h+16>>2]|0;c[l+232>>2]=k;f=c[n>>2]|0;g=f+238|0;if((k|0)>(b[g>>1]|0))b[g>>1]=k;f=f+236|0;if((k|0)<(b[f>>1]|0))b[f>>1]=k;if(!i){j=c[j+128>>2]|0;c[l+128>>2]=j;l=m+(j<<2)|0;j=c[l>>2]|0;c[l>>2]=(j|0)<(k|0)?j:k}h=eo(a,h)|0}j=(m|0)!=0;b:do if(!j){m=b[(c[n>>2]|0)+236>>1]|0;g=m<<16>>16;if(m<<16>>16>0){f=co(a)|0;while(1){if(!f)break;m=(c[f+16>>2]|0)+232|0;c[m>>2]=(c[m>>2]|0)-g;f=eo(a,f)|0}f=c[n>>2]|0;n=f+236|0;b[n>>1]=(e[n>>1]|0)-g;f=f+238|0;b[f>>1]=(e[f>>1]|0)-g;f=0}else f=0}else{f=co(a)|0;while(1){if(!f){f=1;break b}l=c[f+16>>2]|0;n=l+232|0;c[n>>2]=(c[n>>2]|0)-(c[m+(c[l+128>>2]<<2)>>2]|0);f=eo(a,f)|0}}while(0);Mj(a,f);i=co(d)|0;while(1){if(!i)break;g=i+16|0;f=c[g>>2]|0;h=c[f+172>>2]|0;if(h){_I(h);f=c[g>>2]|0}f=c[f+180>>2]|0;if(f|0)_I(f);i=eo(d,i)|0}_I(c[(c[(co(a)|0)+16>>2]|0)+112>>2]|0);f=co(a)|0;while(1){if(!f)break;c[(c[f+16>>2]|0)+112>>2]=0;f=eo(a,f)|0}if(j)_I(o);return}function Lj(a){a=a|0;var b=0,d=0,e=0;b=a+16|0;d=(c[b>>2]|0)+152|0;e=c[d>>2]|0;if(e){if((e|0)!=(a|0)){e=Lj(e)|0;c[(c[b>>2]|0)+152>>2]=e;return e|0}}else c[d>>2]=a;return a|0}function Mj(a,d){a=a|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;i=a+16|0;e=1;while(1){f=c[i>>2]|0;if((e|0)>(c[f+180>>2]|0))break;Mj(c[(c[f+184>>2]|0)+(e<<2)>>2]|0,0);e=e+1|0}if((d|0)!=0|(c[f+200>>2]|0)!=0){b[f+236>>1]=32767;b[f+238>>1]=-1;e=0;h=co(a)|0;while(1){if(!h)break;g=c[(c[h+16>>2]|0)+232>>2]|0;d=c[i>>2]|0;f=d+238|0;if((g|0)>(b[f>>1]|0))b[f>>1]=g;d=d+236|0;if((g|0)<(b[d>>1]|0)){b[d>>1]=g;e=h}h=eo(a,h)|0}c[(c[i>>2]|0)+264>>2]=e}return}function Nj(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=(c[b+16>>2]|0)+128|0;a:do if(!(c[e>>2]|0)){c[e>>2]=d;e=Pm(a,b)|0;while(1){if(!e)break;Nj(a,c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0,d);e=Rm(a,e)|0}e=Sm(a,b)|0;while(1){if(!e)break a;Nj(a,c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0,d);e=Tm(a,e)|0}}while(0);return}function Oj(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;f=no(a,b,1)|0;b=f+16|0;c[(c[b>>2]|0)+176>>2]=0;e=vw(20)|0;d=c[b>>2]|0;c[d+172>>2]=e;c[d+184>>2]=0;d=vw(20)|0;b=c[b>>2]|0;c[b+180>>2]=d;d=c[41933]|0;e=b+168|0;if(!d){c[e>>2]=0;c[(c[a+16>>2]|0)+192>>2]=f}else{c[e>>2]=d;c[(c[d+16>>2]|0)+164>>2]=f}c[41933]=f;c[b+164>>2]=0;return f|0}function Pj(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0;h=d+16|0;e=c[h>>2]|0;f=e+157|0;if(!(a[f>>0]|0)){a[f>>0]=1;a[e+158>>0]=1;d=Pm(b,d)|0;while(1){if(!d)break;e=Rm(b,d)|0;f=c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0;g=c[f+16>>2]|0;if(a[g+158>>0]|0){Qj(b,d);d=e;continue}if(a[g+157>>0]|0){d=e;continue}Pj(b,f);d=e}a[(c[h>>2]|0)+158>>0]=0}return}function Qj(a,b){a=a|0;b=b|0;var d=0,f=0,g=0;d=c[b>>2]&3;g=b+-48|0;f=b+48|0;d=an(a,c[((d|0)==2?b:g)+40>>2]|0,c[((d|0)==3?b:f)+40>>2]|0,0,0)|0;if(!d){d=c[b>>2]&3;d=an(a,c[((d|0)==2?b:g)+40>>2]|0,c[((d|0)==3?b:f)+40>>2]|0,0,1)|0}g=c[b+16>>2]|0;Rj(d,e[g+170>>1]|0,c[g+156>>2]|0);qo(a,b)|0;return}function Rj(a,d,f){a=a|0;d=d|0;f=f|0;var g=0,h=0;a=c[a+16>>2]|0;g=a+170|0;h=e[g>>1]|0;b[g>>1]=(h|0)>(d|0)?h:d;d=a+156|0;c[d>>2]=(c[d>>2]|0)+f;return}function Sj(a){a=a|0;return (JA(Im(a,80109)|0,0)|0)&255|0}function Tj(b){b=b|0;var d=0,e=0;d=c[42233]|0;if((((d|0)!=0?(e=Jm(b,d)|0,(e|0)!=0):0)?(a[e>>0]|0)!=0:0)?(IA(e)|0)<<24>>24==0:0)b=1;else b=0;return b|0}function Uj(a){a=a|0;var b=0,d=0;d=c[a>>2]&3;b=c[(c[(c[((d|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0;a=c[(c[(c[((d|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0;if((b|0)==(a|0))return 1;else{d=Xj(b,a)|0;return ((d|0)==(b|0)|(d|0)==(a|0))&1|0}return 0}function Vj(a,b,d,f){a=a|0;b=b|0;d=d|0;f=f|0;var g=0,h=0,i=0,j=0;j=l;l=l+16|0;h=j;g=an(a,b,d,0,0)|0;if(!g){g=an(a,d,b,0,0)|0;if(!g){g=an(a,b,d,0,1)|0;if(!g){b=Dn(b)|0;f=Dn(d)|0;c[h>>2]=b;c[h+4>>2]=f;_l(1,80126,h)|0}else i=4}else i=4}else i=4;if((i|0)==4){i=c[f+16>>2]|0;Rj(g,e[i+170>>1]|0,c[i+156>>2]|0)}l=j;return}function Wj(a,d,f,g){a=a|0;d=d|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,m=0,n=0;m=l;l=l+112|0;j=m;i=m+4|0;h=Sm(a,d)|0;while(1){if(!h){k=6;break}n=Pm(a,c[((c[h>>2]&3|0)==3?h:h+48|0)+40>>2]|0)|0;if(n|0?(c[((c[n>>2]&3|0)==2?n:n+-48|0)+40>>2]|0)==(f|0):0)break;h=Tm(a,h)|0}if((k|0)==6){n=c[41934]|0;c[41934]=n+1;c[j>>2]=n;pL(i,80117,j)|0;i=Oj(a,i)|0;n=an(a,i,d,0,1)|0;i=an(a,i,f,0,1)|0;f=c[g+16>>2]|0;k=f+156|0;n=(c[n+16>>2]|0)+156|0;c[n>>2]=(c[n>>2]|0)+((c[k>>2]|0)*1e3|0);n=c[i+16>>2]|0;j=n+170|0;b[j>>1]=b[(c[((e[j>>1]|0)>(e[f+170>>1]|0)?i:g)+16>>2]|0)+170>>1]|0;n=n+156|0;c[n>>2]=(c[n>>2]|0)+(c[k>>2]|0)}l=m;return}function Xj(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;a:while(1){e=a+16|0;while(1){if((a|0)==(b|0))break a;f=c[e>>2]|0;d=c[b+16>>2]|0;if((c[f+204>>2]|0)>=(c[d+204>>2]|0))break;b=c[d+200>>2]|0}a=c[f+200>>2]|0}return a|0}function Yj(a){a=a|0;return (co(a)|0)==0|0}function Zj(a,b){a=a|0;b=b|0;c[(c[a+16>>2]|0)+200>>2]=b;yj(b,a);xj(b,a);return}function _j(b){b=b|0;var c=0;b=Im(b,80018)|0;if((b|0)!=0?(a[b>>0]|0)!=0:0)if(xJ(b,80028)|0)if(xJ(b,80032)|0)if(xJ(b,80039)|0)if(xJ(b,80043)|0)if(!(xJ(b,80023)|0))b=1;else c=8;else b=5;else b=4;else b=3;else b=2;else c=8;if((c|0)==8)b=6;return b|0}function $j(a){a=a|0;var b=0,c=0;c=co(a)|0;a:do if(!c)b=0;else{b=Lj(c)|0;while(1){c=eo(a,c)|0;if(!c)break a;ak(b,c)|0}}while(0);return b|0}function ak(a,b){a=a|0;b=b|0;if(b){a=Lj(a)|0;c[(c[(Lj(b)|0)+16>>2]|0)+152>>2]=a}return a|0}function bk(a,b,d){a=a|0;b=b|0;d=d|0;No(b,80077,c[d>>2]|0,1)|0;return}function ck(a,b,d){a=a|0;b=b|0;d=d|0;No(b,80244,c[d+4>>2]|0,1)|0;return}function dk(a,b,d){a=a|0;b=b|0;d=d|0;No(b,80229,c[d+8>>2]|0,1)|0;return}function ek(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;p=l;l=l+240|0;m=p+120|0;n=p;c[42237]=ym(b,2,80259,0)|0;k=ym(b,2,80268,0)|0;c[42238]=k;a:do if((k|0)!=0|(c[42237]|0)!=0){k=co(b)|0;while(1){if(!k)break a;j=0;d=0;i=Um(b,k)|0;while(1){if(!i){f=0;break}e=c[i>>2]|0;g=e&3;f=c[((g|0)==2?i:i+-48|0)+40>>2]|0;h=i+48|0;b:do if((f|0)!=(c[((g|0)==3?i:h)+40>>2]|0)){g=c[42237]|0;do if((f|0)==(k|0)&(g|0)!=0){f=Jm(i,g)|0;if(!(a[f>>0]|0)){e=c[i>>2]|0;break}else{e=j;d=fk(m,d,k,i,f)|0;break b}}while(0);f=c[42238]|0;if((f|0?(c[((e&3|0)==3?i:h)+40>>2]|0)==(k|0):0)?(o=Jm(i,f)|0,(a[o>>0]|0)!=0):0)e=fk(n,j,k,i,o)|0;else e=j}else e=j;while(0);j=e;i=Vm(b,i,k)|0}while(1){if((f|0)>=(d|0)){e=0;break}e=m+(f*24|0)+4|0;if((c[m+(f*24|0)+8>>2]|0)>1)gk(k,e);e=c[e>>2]|0;if(e|0)_I(e);f=f+1|0}while(1){if((e|0)>=(j|0))break;d=n+(e*24|0)+4|0;if((c[n+(e*24|0)+8>>2]|0)>1)gk(k,d);d=c[d>>2]|0;if(d|0)_I(d);e=e+1|0}k=eo(b,k)|0}}while(0);l=p;return}function fk(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;p=l;l=l+16|0;k=p;m=p+12|0;n=p+8|0;o=0;while(1){if((o|0)>=(d|0)){j=10;break}j=c[b+(o*24|0)>>2]|0;if((a[j>>0]|0)==(a[g>>0]|0)?(xJ(j,g)|0)==0:0){j=5;break}o=o+1|0}do if((j|0)==5){k=b+(o*24|0)+4|0;j=c[k>>2]|0;if(!j){j=b+(o*24|0)+8|0;g=j;j=ww((c[j>>2]<<2)+8|0)|0}else{q=b+(o*24|0)+8|0;g=q;j=yw(j,(c[q>>2]<<2)+8|0)|0}c[k>>2]=j;r=c[g>>2]|0;q=r+1|0;c[g>>2]=q;c[j+(r<<2)>>2]=f;c[(c[k>>2]|0)+(q<<2)>>2]=0;j=13}else if((j|0)==10)if((d|0)>4){r=Dn(e)|0;c[k>>2]=5;c[k+4>>2]=r;_l(1,80277,k)|0;break}else{s=b+(o*24|0)+8|0;c[s>>2]=0;k=vw(8)|0;r=b+(o*24|0)+4|0;c[r>>2]=k;q=c[s>>2]|0;j=q+1|0;c[s>>2]=j;c[k+(q<<2)>>2]=f;c[(c[r>>2]|0)+(j<<2)>>2]=0;c[b+(o*24|0)>>2]=g;c[b+(o*24|0)+12>>2]=0;h[b+(o*24|0)+16>>3]=0.0;d=d+1|0;j=13;break}while(0);if((j|0)==13){At(f,m,n);j=(c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0)==(e|0)?c[n>>2]|0:c[m>>2]|0;if(j){r=b+(o*24|0)+12|0;s=c[r>>2]|0;c[r>>2]=s+1;if(!s)i=+Et(f,j);else i=0.0;h[b+(o*24|0)+16>>3]=i}}l=p;return d|0}function gk(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0.0,k=0.0,m=0.0,n=0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0.0;x=l;l=l+80|0;t=x+68|0;u=x+64|0;r=x;v=d+4|0;n=c[v>>2]|0;w=b+16|0;i=0;p=0.0;q=0.0;while(1){if((i|0)>=(n|0))break;f=c[(c[d>>2]|0)+(i<<2)>>2]|0;g=c[f>>2]&3;e=c[((g|0)==2?f:f+-48|0)+40>>2]|0;if((e|0)==(b|0))e=c[((g|0)==3?f:f+48|0)+40>>2]|0;g=c[e+16>>2]|0;s=c[w>>2]|0;k=+h[g+16>>3]-+h[s+16>>3];m=+h[g+24>>3]-+h[s+24>>3];o=+QJ(k,m);i=i+1|0;p=k/o+p;q=m/o+q}j=+QJ(p,q);s=c[w>>2]|0;k=+h[s+16>>3];m=+h[s+24>>3];y=+h[s+96>>3]+ +h[s+88>>3];o=+h[s+80>>3];s=y>o+ +(c[(c[(ro(b)|0)+16>>2]|0)+252>>2]|0);e=c[w>>2]|0;if(s)o=+h[e+96>>3]+ +h[e+88>>3];else{o=+h[e+80>>3];o=o+ +(c[(c[(ro(b)|0)+16>>2]|0)+252>>2]|0);e=c[w>>2]|0}y=+h[e+16>>3]+o*(p/j);j=+h[e+24>>3]+o*(q/j);h[r>>3]=k;n=r+8|0;h[n>>3]=m;h[r+16>>3]=(y+k*2.0)*.3333333333333333;h[r+24>>3]=(j+m*2.0)*.3333333333333333;h[r+32>>3]=(y*2.0+k)*.3333333333333333;h[r+40>>3]=(j*2.0+m)*.3333333333333333;h[r+48>>3]=y;h[r+56>>3]=j;Gz(b,r);s=c[w>>2]|0;j=+h[r>>3]-+h[s+16>>3];k=+h[n>>3]-+h[s+24>>3];j=+(~~(j+(j>=0.0?.5:-.5))|0);k=+(~~(k+(k>=0.0?.5:-.5))|0);y=+h[s+88>>3];s=~~((y+j)*256.0/(+h[s+96>>3]+y))&255;r=0;while(1){if((r|0)>=(c[v>>2]|0))break;n=c[(c[d>>2]|0)+(r<<2)>>2]|0;At(n,t,u);while(1){if(!n)break;else g=n;while(1){if(!g){i=n;break}e=c[g>>2]|0;i=g+-48|0;if((c[((e&3|0)==2?g:i)+40>>2]|0)==(b|0)){e=c[g+16>>2]|0;h[e+56>>3]=j;h[e+64>>3]=k;h[e+72>>3]=0.0;c[e+80>>2]=0;a[e+84>>0]=1;a[e+85>>0]=0;a[e+86>>0]=0;a[e+87>>0]=0;a[e+88>>0]=s;a[e+89>>0]=0;c[e+92>>2]=0;e=c[g>>2]|0}f=g+16|0;if((c[((e&3|0)==3?g:g+48|0)+40>>2]|0)==(b|0)){e=c[f>>2]|0;h[e+16>>3]=j;h[e+24>>3]=k;h[e+32>>3]=0.0;c[e+40>>2]=0;a[e+44>>0]=1;a[e+45>>0]=0;a[e+46>>0]=0;a[e+47>>0]=0;a[e+48>>0]=s;a[e+49>>0]=0;c[e+52>>2]=0}if((a[(c[f>>2]|0)+112>>0]|0)!=1){g=0;continue}e=c[(c[((c[g>>2]&3|0)==2?g:i)+40>>2]|0)+16>>2]|0;if((a[e+156>>0]|0)!=1){g=0;continue}if((c[e+184>>2]|0)!=1){g=0;continue}g=c[c[e+180>>2]>>2]|0}while(1){if(!i)break;e=c[i>>2]|0;if((c[((e&3|0)==2?i:i+-48|0)+40>>2]|0)==(b|0)){e=c[i+16>>2]|0;h[e+56>>3]=j;h[e+64>>3]=k;h[e+72>>3]=0.0;c[e+80>>2]=0;a[e+84>>0]=1;a[e+85>>0]=0;a[e+86>>0]=0;a[e+87>>0]=0;a[e+88>>0]=s;a[e+89>>0]=0;c[e+92>>2]=0;e=c[i>>2]|0}f=i+48|0;g=i+16|0;if((c[((e&3|0)==3?i:f)+40>>2]|0)==(b|0)){e=c[g>>2]|0;h[e+16>>3]=j;h[e+24>>3]=k;h[e+32>>3]=0.0;c[e+40>>2]=0;a[e+44>>0]=1;a[e+45>>0]=0;a[e+46>>0]=0;a[e+47>>0]=0;a[e+48>>0]=s;a[e+49>>0]=0;c[e+52>>2]=0}if((a[(c[g>>2]|0)+112>>0]|0)!=1){i=0;continue}e=c[(c[((c[i>>2]&3|0)==3?i:f)+40>>2]|0)+16>>2]|0;if((a[e+156>>0]|0)!=1){i=0;continue}if((c[e+176>>2]|0)!=1){i=0;continue}i=c[c[e+172>>2]>>2]|0}n=c[(c[n+16>>2]|0)+172>>2]|0}r=r+1|0}a[(c[w>>2]|0)+145>>0]=1;l=x;return}function hk(a){a=a|0;var b=0,d=0,e=0;Xg(a);b=c[a>>2]&3;d=a+-48|0;e=a+48|0;b=Sg(c[((b|0)==2?a:d)+40>>2]|0,c[((b|0)==3?a:e)+40>>2]|0)|0;if(!b){b=c[a>>2]&3;ah(c[((b|0)==2?a:d)+40>>2]|0,c[((b|0)==3?a:e)+40>>2]|0,a)|0}else ih(a,b);return}function ik(b){b=b|0;var d=0,e=0,f=0,g=0;f=b+16|0;e=0;while(1){b=c[f>>2]|0;if((e|0)>=(c[b+220>>2]|0))break;d=c[(c[b+216>>2]|0)+(e<<2)>>2]|0;c[b+192>>2]=d;b=d;d=b;while(1){if(!d)break;g=c[d+16>>2]|0;a[g+157>>0]=0;d=c[g+164>>2]|0}while(1){if(!b)break;jk(b);b=c[(c[b+16>>2]|0)+164>>2]|0}e=e+1|0}return}function jk(b){b=b|0;var d=0,e=0,f=0,g=0;g=b+16|0;d=c[g>>2]|0;b=d+157|0;if(!(a[b>>0]|0)){a[b>>0]=1;a[d+158>>0]=1;b=0;while(1){f=c[(c[d+180>>2]|0)+(b<<2)>>2]|0;if(!f)break;d=c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0;e=c[d+16>>2]|0;if(!(a[e+158>>0]|0)){if(!(a[e+157>>0]|0))jk(d)}else{hk(f);b=b+-1|0}b=b+1|0;d=c[g>>2]|0}a[d+158>>0]=0}return}function kk(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;e=co(a)|0;b=0;while(1){if(!e)break;d=Pm(a,e)|0;while(1){if(!d)break;g=c[d>>2]&3;h=c[(c[(c[((g|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0;g=c[(c[(c[((g|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0;f=h-g|0;d=Rm(a,d)|0;b=((h|0)==(g|0)?0:((f|0)>-1?f:0-f|0)+-1|0)+b|0}e=eo(a,e)|0}return b|0}function lk(b){b=b|0;var d=0,e=0,f=0,g=0;e=co(b)|0;while(1){if(!e)break;g=c[e+16>>2]|0;f=c[g+176>>2]|0;g=g+172|0;d=0;while(1){if((d|0)>=(f|0))break;a[(c[(c[(c[g>>2]|0)+(d<<2)>>2]|0)+16>>2]|0)+112>>0]=0;d=d+1|0}e=eo(b,e)|0}return}function mk(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0.0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;q=l;l=l+16|0;o=q;j=c[b+24>>2]|0;nk(a);k=(j|0)==-1;m=b+8|0;i=k^1;n=c[13918]|0;f=1797693134862315708145274.0e284;g=0;while(1){if(!(k|(g|0)<(j|0)))break;d=co(a)|0;while(1){if(!d)break;c[(c[d+16>>2]|0)+232>>2]=0;d=eo(a,d)|0}jj(a);e=+ok(a);h[m>>3]=e;if(0){h[o>>3]=e;zL(n,80329,o)|0;e=+h[m>>3]}if(!(!(e<=+h[b>>3])&(!(f<=e)|i))){p=9;break}pk(a);f=e;g=g+1|0}if((p|0)==9){p=b+20|0;c[b+16>>2]=c[p>>2];c[p>>2]=g}jj(a);qk(a);rk();h[m>>3]=+ok(a);l=q;return}function nk(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0,j=0,k=0,l=0.0,m=0.0,n=0;c[41938]=ww((mn(a)|0)*24|0)|0;c[41937]=0;b=co(a)|0;while(1){if(!b)break;c[(c[b+16>>2]|0)+120>>2]=-1;b=eo(a,b)|0}i=co(a)|0;while(1){if(!i)break;j=i+16|0;do if(!(c[(c[j>>2]|0)+216>>2]|0)){f=vw(4)|0;g=c[41938]|0;k=c[41937]|0;c[g+(k*24|0)>>2]=f;c[f>>2]=i;c[g+(k*24|0)+4>>2]=1;j=c[j>>2]|0;h[g+(k*24|0)+8>>3]=+h[j+32>>3];h[g+(k*24|0)+16>>3]=+h[j+40>>3];c[j+120>>2]=k;c[41937]=k+1}else{g=KA(i)|0;k=g+16|0;b=c[k>>2]|0;d=c[b+120>>2]|0;if((d|0)>-1){g=c[41938]|0;f=c[g+(d*24|0)>>2]|0;e=g+(d*24|0)+4|0;k=c[e>>2]|0;c[e>>2]=k+1;c[f+(k<<2)>>2]=i;k=c[j>>2]|0;j=g+(d*24|0)+8|0;h[j>>3]=+h[j>>3]+ +h[k+32>>3];j=g+(d*24|0)+16|0;l=+h[j>>3];m=+h[k+40>>3];h[j>>3]=l<m?m:l;c[k+120>>2]=d;break}d=vw(c[b+216>>2]<<2)|0;e=c[41938]|0;f=c[41937]|0;b=e+(f*24|0)|0;c[b>>2]=d;c[d>>2]=g;if((g|0)==(i|0)){h[e+(f*24|0)+8>>3]=+h[(c[k>>2]|0)+32>>3];d=1;b=i}else{c[(c[b>>2]|0)+4>>2]=i;n=c[k>>2]|0;b=c[j>>2]|0;h[e+(f*24|0)+8>>3]=+h[b+32>>3]+ +h[n+32>>3];d=2;b=+h[n+40>>3]<+h[b+40>>3]?i:g}c[e+(f*24|0)+4>>2]=d;h[e+(f*24|0)+16>>3]=+h[(c[b+16>>2]|0)+40>>3];c[(c[k>>2]|0)+120>>2]=f;c[(c[j>>2]|0)+120>>2]=f;c[41937]=f+1}while(0);i=eo(a,i)|0}return}function ok(a){a=a|0;var b=0.0,d=0.0,e=0,f=0,g=0,i=0.0,j=0.0;qk(a);g=c[41935]|0;e=c[a+16>>2]|0;b=+(O(c[e+252>>2]|0,g+-1|0)|0);f=c[41936]|0;e=e+248|0;a=0;d=0.0;while(1){if((a|0)>=(g|0))break;i=+h[f+(a*40|0)+24>>3]+ +(O(c[e>>2]|0,c[f+(a*40|0)+16>>2]|0)|0);j=+h[f+(a*40|0)+32>>3]+b;a=a+1|0;b=j;d=d<i?i:d}return +(d/b)}function pk(a){a=a|0;var b=0;c[41939]=vw((mn(a)|0)<<2)|0;b=0;while(1){if((b|0)>=(mn(a)|0))break;c[(c[41939]|0)+(b<<2)>>2]=b;b=b+1|0}qk(a);sk(a);tk(a);return}function qk(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0,j=0.0,k=0,l=0;c[41935]=0;b=c[41936]|0;if(b|0){e=0;while(1){if((e|0)>=(c[41937]|0))break;d=c[b+(e*40|0)+4>>2]|0;if(d){_I(d);b=c[41936]|0}d=c[b+(e*40|0)+8>>2]|0;if(d){_I(d);b=c[41936]|0}e=e+1|0}_I(b)}c[41936]=vw((c[41937]|0)*40|0)|0;b=0;while(1){d=c[41937]|0;if((b|0)>=(d|0))break;k=vw(d<<2)|0;c[(c[41936]|0)+(b*40|0)+4>>2]=k;k=vw(c[41937]<<2)|0;l=c[41936]|0;c[l+(b*40|0)+8>>2]=k;c[l+(b*40|0)>>2]=b;c[l+(b*40|0)+12>>2]=0;c[l+(b*40|0)+16>>2]=0;l=l+(b*40|0)+24|0;c[l>>2]=0;c[l+4>>2]=0;c[l+8>>2]=0;c[l+12>>2]=0;b=b+1|0}e=co(a)|0;while(1){if(!e)break;d=Pm(a,e)|0;while(1){if(!d)break;i=c[d>>2]|0;f=d+-48|0;g=c[41936]|0;b=c[(c[(c[((i&3|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0;while(1){b=b+1|0;if((b|0)>=(c[(c[(c[((i&3|0)==2?d:f)+40>>2]|0)+16>>2]|0)+232>>2]|0))break;i=g+(b*40|0)+16|0;c[i>>2]=(c[i>>2]|0)+1;i=c[d>>2]|0}d=Rm(a,d)|0}e=eo(a,e)|0}i=c[41937]|0;k=c[41938]|0;l=c[41936]|0;d=a+16|0;b=0;while(1){if((b|0)>=(i|0))break;e=(c[c[k+(b*24|0)>>2]>>2]|0)+16|0;f=c[(c[e>>2]|0)+232>>2]|0;if((f|0)>=(c[41935]|0))c[41935]=f+1;g=l+(f*40|0)+24|0;j=+h[g>>3];h[g>>3]=j+ +h[k+(b*24|0)+8>>3]*72.0+(j>0.0?+(c[(c[d>>2]|0)+248>>2]|0):0.0);g=l+(f*40|0)+32|0;j=+h[k+(b*24|0)+16>>3]*72.0;if(+h[g>>3]<j)h[g>>3]=j;c[(c[l+(f*40|0)+4>>2]|0)+(c[l+(f*40|0)+12>>2]<<2)>>2]=k+(b*24|0);a=l+((c[(c[e>>2]|0)+232>>2]|0)*40|0)+12|0;c[a>>2]=(c[a>>2]|0)+1;b=b+1|0}return}function rk(){var a=0,b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;k=c[41935]|0;l=c[41936]|0;j=0;b=0;a=0;while(1){if((j|0)>=(k|0))break;d=l+(j*40|0)|0;i=c[l+(j*40|0)+12>>2]|0;e=(b|0)==0;a:do if(i)if(!e){if((c[d>>2]|0)>(a|0)){f=l+(j*40|0)+4|0;d=0;while(1){if((d|0)>=(i|0))break a;g=c[(c[f>>2]|0)+(d<<2)>>2]|0;h=c[g+4>>2]|0;e=0;while(1){if((e|0)>=(h|0))break;m=(c[(c[(c[g>>2]|0)+(e<<2)>>2]|0)+16>>2]|0)+232|0;c[m>>2]=(c[m>>2]|0)-b;e=e+1|0}d=d+1|0}}}else b=0;else{if(e)a=c[d>>2]|0;b=b+1|0}while(0);j=j+1|0}return}function sk(a){a=a|0;var b=0;b=c[41939]|0;rL(b,mn(a)|0,4,15);return}function tk(b){b=b|0;var d=0.0,e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0.0,n=0,o=0,p=0,q=0,r=0.0,s=0;j=c[41935]|0;k=c[41936]|0;g=c[41939]|0;i=0;while(1){if((i|0)>=(j|0)){e=0;d=0.0;break}e=c[g+(i<<2)>>2]|0;f=i+1|0;if((c[k+(e*40|0)+12>>2]|0)<2)i=f;else{l=4;break}}if((l|0)==4)if((j|0)>(f|0))d=+h[k+((c[g+(f<<2)>>2]|0)*40|0)+24>>3];else d=0.0;a:do if((i|0)!=(j|0)){rL(c[k+(e*40|0)+4>>2]|0,c[k+(e*40|0)+12>>2]|0,4,16);g=c[41936]|0;r=+h[g+(e*40|0)+24>>3];r=!(d<=r*.25)&!(d>=r*.75)?d:r*.5;s=c[g+(e*40|0)+12>>2]|0;q=b+16|0;n=0;o=0;d=0.0;f=0;p=0;while(1){if((p|0)>=(f+s|0))break a;do if(!(c[(c[g+(e*40|0)+8>>2]|0)+(p<<2)>>2]|0)){l=c[(c[g+(e*40|0)+4>>2]|0)+(p<<2)>>2]|0;b=l+8|0;m=+h[b>>3]*72.0+d+(d>0.0?+(c[(c[q>>2]|0)+248>>2]|0):0.0);i=(o|0)!=0;if(!(i&!(m<=r))){j=i?n:l;i=i?o:1;d=m;break}j=n+4|0;k=l+4|0;i=0;while(1){if((i|0)<(c[j>>2]|0))g=0;else break;while(1){if((g|0)>=(c[k>>2]|0))break;a[(c[(ah(c[(c[n>>2]|0)+(i<<2)>>2]|0,c[(c[l>>2]|0)+(g<<2)>>2]|0,0)|0)+16>>2]|0)+112>>0]=1;g=g+1|0}i=i+1|0}g=c[41936]|0;c[(c[g+(e*40|0)+8>>2]|0)+(p<<2)>>2]=1;j=g+(e*40|0)+12|0;c[j>>2]=(c[j>>2]|0)+-1;j=g+(e*40|0)+16|0;c[j>>2]=(c[j>>2]|0)+1;j=g+(e*40|0)+24|0;h[j>>3]=+h[b>>3]*-72.0-+(c[(c[q>>2]|0)+248>>2]|0)+ +h[j>>3];j=n;i=o}else{j=n;i=o;f=f+1|0}while(0);n=j;o=i;p=p+1|0}}while(0);return}function uk(a,b){a=a|0;b=b|0;a=vk(c[a>>2]|0)|0;b=vk(c[b>>2]|0)|0;return ((b|0)<(a|0)&1)-((b|0)>(a|0)&1)|0}function vk(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;f=a+4|0;d=0;b=0;while(1){if((d|0)>=(c[f>>2]|0))break;e=c[(c[a>>2]|0)+(d<<2)>>2]|0;g=ro(e)|0;e=Pm(g,e)|0;while(1){if(!e)break;e=Rm(g,e)|0;b=b+1|0}d=d+1|0}return b|0}function wk(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0;f=c[41936]|0;e=+h[f+((c[b>>2]|0)*40|0)+24>>3];d=+h[f+((c[a>>2]|0)*40|0)+24>>3];return (e>d&1)-(e<d&1)|0}function xk(a){a=a|0;var b=0;b=co(a)|0;while(1){if(!b)break;c[(c[b+16>>2]|0)+216>>2]=0;b=eo(a,b)|0}return}function yk(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;g=l;l=l+32|0;f=g+16|0;e=g+8|0;d=g+20|0;c[d>>2]=5;a=Im(a,84624)|0;if(a|0?(c[e>>2]=g,c[e+4>>2]=d,(cM(a,80344,e)|0)>=1):0)_l(0,80351,f)|0;c[b+24>>2]=0;c[b+32>>2]=0;l=g;return 0}function zk(b){b=b|0;var d=0,e=0;d=c[42233]|0;if((((d|0)!=0?(e=Jm(b,d)|0,(e|0)!=0):0)?(a[e>>0]|0)!=0:0)?(IA(e)|0)<<24>>24==0:0)b=1;else b=0;return b|0}function Ak(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0;Vk(a);b=co(a)|0;while(1){if(!b)break;d=Pm(a,b)|0;while(1){if(!d)break;do if(((c[(c[d+16>>2]|0)+172>>2]|0)==0?(zk(d)|0)==0:0)?(e=d+48|0,f=KA(c[((c[d>>2]&3|0)==3?d:e)+40>>2]|0)|0,g=d+-48|0,h=KA(c[((c[d>>2]&3|0)==2?d:g)+40>>2]|0)|0,(f|0)!=(h|0)):0){if((c[(c[f+16>>2]|0)+212>>2]|0)==0?(c[(c[h+16>>2]|0)+212>>2]|0)==0:0){i=Sg(f,h)|0;if(!i){ah(f,h,d)|0;break}else{ih(d,i);break}}i=c[d>>2]&3;Bk(a,c[((i|0)==3?d:e)+40>>2]|0,c[((i|0)==2?d:g)+40>>2]|0,d)}while(0);d=Rm(a,d)|0}b=eo(a,b)|0}return}function Bk(b,d,f,g){b=b|0;d=d|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0;j=c[g>>2]&3;h=c[(c[((j|0)==3?g:g+48|0)+40>>2]|0)+16>>2]|0;i=c[h+212>>2]|0;if(!i)k=0;else k=(c[h+232>>2]|0)-(c[(c[(c[(c[i+16>>2]|0)+264>>2]|0)+16>>2]|0)+232>>2]|0)|0;h=c[(c[((j|0)==2?g:g+-48|0)+40>>2]|0)+16>>2]|0;i=c[h+212>>2]|0;if(!i)h=0;else h=(c[(c[(c[(c[i+16>>2]|0)+264>>2]|0)+16>>2]|0)+232>>2]|0)-(c[h+232>>2]|0)|0;j=g+16|0;k=h+k+(e[(c[j>>2]|0)+170>>1]|0)|0;b=fh(b)|0;a[(c[b+16>>2]|0)+156>>0]=2;i=KA(d)|0;d=KA(f)|0;f=Mi(b,i,(k|0)>0?0.0:+(0-k|0),(c[(c[j>>2]|0)+156>>2]|0)*10|0)|0;c[(c[(Mi(b,d,+(((k|0)>0?k:0)|0),c[(c[j>>2]|0)+156>>2]|0)|0)+16>>2]|0)+116>>2]=g;c[(c[f+16>>2]|0)+116>>2]=g;return}function Ck(a,d,f,g){a=a|0;d=d|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0;j=c[d>>2]&3;i=(j|0)==3?d:d+48|0;j=(j|0)==2?d:d+-48|0;j=c[(c[(c[((c[(c[(c[i+40>>2]|0)+16>>2]|0)+232>>2]|0)>(c[(c[(c[j+40>>2]|0)+16>>2]|0)+232>>2]|0)?i:j)+40>>2]|0)+16>>2]|0)+232>>2]|0;i=d+16|0;d=(c[i>>2]|0)+172|0;if(c[d>>2]|0)ma(80440,80462,148,80471);c[d>>2]=f;h=(g|0)==0;do{d=c[i>>2]|0;if(h)g=c[f+16>>2]|0;else{g=c[f+16>>2]|0;k=g+168|0;b[k>>1]=(e[k>>1]|0)+(e[d+168>>1]|0)}k=g+154|0;b[k>>1]=(e[k>>1]|0)+(e[d+154>>1]|0);g=g+156|0;c[g>>2]=(c[g>>2]|0)+(c[d+156>>2]|0);d=f+-48|0;g=c[((c[f>>2]&3|0)==2?f:d)+40>>2]|0;if((c[(c[g+16>>2]|0)+232>>2]|0)==(j|0))break;Dk(a,g);f=c[c[(c[(c[((c[f>>2]&3|0)==2?f:d)+40>>2]|0)+16>>2]|0)+180>>2]>>2]|0}while((f|0)!=0);return}function Dk(a,b){a=a|0;b=b|0;var d=0.0;d=+((c[(c[a+16>>2]|0)+248>>2]|0)/2|0|0);b=c[b+16>>2]|0;a=b+88|0;h[a>>3]=+h[a>>3]+d;b=b+96|0;h[b>>3]=+h[b>>3]+d;return}function Ek(a,b){a=a|0;b=b|0;var d=0,e=0;if(((((a|0)!=0&(b|0)!=0?(e=c[a>>2]&3,d=c[b>>2]&3,(c[((e|0)==3?a:a+48|0)+40>>2]|0)==(c[((d|0)==3?b:b+48|0)+40>>2]|0)):0)?(c[((e|0)==2?a:a+-48|0)+40>>2]|0)==(c[((d|0)==2?b:b+-48|0)+40>>2]|0):0)?(c[(c[a+16>>2]|0)+96>>2]|0)==(c[(c[b+16>>2]|0)+96>>2]|0):0)?(hj(a,b)|0)!=0:0)a=1;else a=0;return a|0}function Fk(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0;r=b+16|0;d=c[r>>2]|0;c[d+192>>2]=0;c[d+232>>2]=0;Vk(b);d=1;while(1){e=c[r>>2]|0;if((d|0)>(c[e+180>>2]|0))break;Wk(b,c[(c[e+184>>2]|0)+(d<<2)>>2]|0);d=d+1|0}h=co(b)|0;while(1){if(!h)break;g=Pm(b,h)|0;while(1){if(!g)break;d=c[g>>2]|0;e=(c[(c[((d&3|0)==2?g:g+-48|0)+40>>2]|0)+16>>2]|0)+160|0;f=a[e>>0]|0;if(f<<24>>24<3){a[e>>0]=f+1<<24>>24;d=c[g>>2]|0}d=(c[(c[((d&3|0)==3?g:g+48|0)+40>>2]|0)+16>>2]|0)+160|0;e=a[d>>0]|0;if(e<<24>>24<3)a[d>>0]=e+1<<24>>24;g=Rm(b,g)|0}h=eo(b,h)|0}m=co(b)|0;while(1){if(!m)break;if((c[(c[m+16>>2]|0)+212>>2]|0)==0?(m|0)==(KA(m)|0):0){bh(b,m);l=(c[r>>2]|0)+232|0;c[l>>2]=(c[l>>2]|0)+1}d=0;l=Pm(b,m)|0;while(1){if(!l)break;k=l+16|0;h=c[k>>2]|0;a:do if(!(c[h+172>>2]|0)){if(Gk(l)|0){if(!(Ek(d,l)|0)){Hk(b,l);d=l;break}e=c[(c[d+16>>2]|0)+172>>2]|0;if(e|0){Ck(b,l,e,0);Yg(l);break}k=c[l>>2]&3;if((c[(c[(c[((k|0)==3?l:l+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)!=(c[(c[(c[((k|0)==2?l:l+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0))break;ih(l,d);Yg(l);break}if(d){i=c[l>>2]&3;e=l+48|0;f=c[((i|0)==3?l:e)+40>>2]|0;g=c[d>>2]&3;if((f|0)==(c[((g|0)==3?d:d+48|0)+40>>2]|0)?(n=c[((i|0)==2?l:l+-48|0)+40>>2]|0,(n|0)==(c[((g|0)==2?d:d+-48|0)+40>>2]|0)):0){if((c[(c[f+16>>2]|0)+232>>2]|0)==(c[(c[n+16>>2]|0)+232>>2]|0)){ih(l,d);Yg(l);break}if(((c[h+96>>2]|0)==0?(o=d+16|0,(c[(c[o>>2]|0)+96>>2]|0)==0):0)?(hj(l,d)|0)!=0:0)if(!(a[174076]|0)){Ck(b,l,c[(c[o>>2]|0)+172>>2]|0,1);Yg(l);break}else{a[(c[k>>2]|0)+112>>0]=6;break}else i=e}else i=e}else i=l+48|0;h=c[l>>2]&3;e=c[((h|0)==3?l:i)+40>>2]|0;j=l+-48|0;if((e|0)==(c[((h|0)==2?l:j)+40>>2]|0)){Yg(l);d=l;break}e=KA(e)|0;f=KA(c[((c[l>>2]&3|0)==2?l:j)+40>>2]|0)|0;h=c[l>>2]&3;if((c[((h|0)==3?l:i)+40>>2]|0)==(e|0)?(c[((h|0)==2?l:j)+40>>2]|0)==(f|0):0){g=c[(c[e+16>>2]|0)+232>>2]|0;h=c[(c[f+16>>2]|0)+232>>2]|0;if((g|0)==(h|0)){gh(b,l);d=l;break}if((h|0)>(g|0)){Ik(b,e,f,l);d=l;break}e=an(b,f,e,0,0)|0;do if(e|0?(p=c[e>>2]&3,q=c[((p|0)==2?e:e+-48|0)+40>>2]|0,(q|0)!=(c[((c[l>>2]&3|0)==2?l:j)+40>>2]|0)):0){f=e+16|0;if(!(c[(c[f>>2]|0)+172>>2]|0))Ik(b,c[((p|0)==3?e:e+48|0)+40>>2]|0,q,e);if((c[(c[k>>2]|0)+96>>2]|0)==0?(c[(c[f>>2]|0)+96>>2]|0)==0:0){if(!(hj(l,e)|0))break;if(!(a[174076]|0)){Yg(l);Ck(b,l,c[(c[f>>2]|0)+172>>2]|0,1);break a}else{a[(c[k>>2]|0)+112>>0]=6;a[(c[f>>2]|0)+153>>0]=1;break a}}}while(0);d=c[l>>2]&3;Ik(b,c[((d|0)==2?l:j)+40>>2]|0,c[((d|0)==3?l:i)+40>>2]|0,l);d=l}}else d=l;while(0);l=Rm(b,l)|0}m=eo(b,m)|0}if((Vf(b)|0)!=(b|0)){d=c[(c[r>>2]|0)+216>>2]|0;if(!d)d=ww(4)|0;else d=yw(d,4)|0;r=c[r>>2]|0;c[r+216>>2]=d;c[d>>2]=c[r+192>>2]}return}function Gk(b){b=b|0;var d=0;d=c[b>>2]&3;if((a[(c[(c[((d|0)==3?b:b+48|0)+40>>2]|0)+16>>2]|0)+159>>0]|0)==7)b=1;else b=(a[(c[(c[((d|0)==2?b:b+-48|0)+40>>2]|0)+16>>2]|0)+159>>0]|0)==7&1;return b|0}function Hk(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;f=Lk(c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0)|0;g=Lk(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)|0;i=(c[(c[f+16>>2]|0)+232>>2]|0)>(c[(c[g+16>>2]|0)+232>>2]|0);e=i?f:g;f=i?g:f;g=f+16|0;i=e+16|0;a:do if((c[(c[g>>2]|0)+212>>2]|0)!=(c[(c[i>>2]|0)+212>>2]|0)){h=Sg(f,e)|0;if(h|0){Ck(b,d,h,1);break}if((c[(c[g>>2]|0)+232>>2]|0)!=(c[(c[i>>2]|0)+232>>2]|0)){Ik(b,f,e,d);e=(c[d+16>>2]|0)+172|0;while(1){e=c[e>>2]|0;if(!e)break a;f=e+-48|0;if((c[(c[(c[((c[e>>2]&3|0)==2?e:f)+40>>2]|0)+16>>2]|0)+232>>2]|0)>(c[(c[i>>2]|0)+232>>2]|0))break a;a[(c[e+16>>2]|0)+112>>0]=5;e=c[(c[(c[((c[e>>2]&3|0)==2?e:f)+40>>2]|0)+16>>2]|0)+180>>2]|0}}}while(0);return}function Ik(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;k=e+16|0;f=c[k>>2]|0;if(!(c[f+96>>2]|0))j=-1;else j=((c[(c[d+16>>2]|0)+232>>2]|0)+(c[(c[b+16>>2]|0)+232>>2]|0)|0)/2|0;if(c[f+172>>2]|0)ma(80483,80462,89,80508);i=d+16|0;h=c[(c[b+16>>2]|0)+232>>2]|0;while(1){g=h+1|0;f=c[(c[i>>2]|0)+232>>2]|0;if((h|0)>=(f|0))break;if((g|0)<(f|0)){if((g|0)==(j|0))f=Jk(a,e)|0;else f=Kk(a)|0;c[(c[f+16>>2]|0)+232>>2]=g}else f=d;vi(ah(b,f,e)|0);h=g;b=f}if(!(c[(c[k>>2]|0)+172>>2]|0))ma(80519,80462,103,80508);else return}function Jk(b,d){b=b|0;d=d|0;var e=0.0,f=0.0,g=0,i=0,j=0.0;i=d+16|0;g=c[(c[i>>2]|0)+96>>2]|0;e=+h[g+24>>3];f=+h[g+32>>3];g=fh(b)|0;d=g+16|0;c[(c[d>>2]|0)+104>>2]=c[(c[i>>2]|0)+96>>2];j=+(c[(c[(so(g)|0)+16>>2]|0)+248>>2]|0);h[(c[d>>2]|0)+88>>3]=j;if(!(a[(c[i>>2]|0)+114>>0]|0)){b=(c[(c[(so(b)|0)+16>>2]|0)+116>>2]&1|0)==0;i=c[d>>2]|0;h[i+80>>3]=b?f:e;h[i+96>>3]=b?e:f}return g|0}function Kk(a){a=a|0;var b=0;b=fh(a)|0;Dk(a,b);return b|0}function Lk(b){b=b|0;var d=0;d=c[b+16>>2]|0;if((a[d+159>>0]|0)==7)b=c[(c[(c[(c[d+212>>2]|0)+16>>2]|0)+268>>2]|0)+(c[d+232>>2]<<2)>>2]|0;else b=KA(b)|0;return b|0}function Mk(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;j=Vf(a)|0;h=co(a)|0;while(1){if(!h)break;b=Um(j,h)|0;i=0;while(1){if(!b)break;l=Vm(j,b,h)|0;if(Bo(a,b)|0){k=i;b=l;i=k;continue}k=(c[b>>2]&3|0)==2?b:b+-48|0;m=(Ek(i,k)|0)==0;e=c[k>>2]&3;b=c[((e|0)==3?k:k+48|0)+40>>2]|0;d=c[(c[b+16>>2]|0)+232>>2]|0;e=c[((e|0)==2?k:k+-48|0)+40>>2]|0;f=c[(c[e+16>>2]|0)+232>>2]|0;g=(d|0)==(f|0);if(!m){c[(c[k+16>>2]|0)+172>>2]=g?i:0;b=c[(c[i+16>>2]|0)+172>>2]|0;if(!b){m=i;b=l;i=m;continue}Ck(a,k,b,0);Zg(k);m=i;b=l;i=m;continue}if(!g)if((f|0)>(d|0)){Nk(b,e,k);b=l;i=k;continue}else{Nk(e,b,k);b=l;i=k;continue}b=Ug(b,e)|0;if(!b){gh(j,k);b=l;i=k;continue}if((k|0)==(b|0)){m=i;b=l;i=m;continue}Zg(k);if(c[(c[k+16>>2]|0)+172>>2]|0){m=i;b=l;i=m;continue}ih(k,b);m=i;b=l;i=m}h=eo(a,h)|0}return}function Nk(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;f=Ok(a)|0;e=Ok(b)|0;Pk(f,e,d,c[(c[d+16>>2]|0)+172>>2]|0,(f|0)==(a|0)&(e|0)==(b|0)?1:5);return}function Ok(b){b=b|0;var d=0,e=0,f=0;d=c[b+16>>2]|0;e=c[d+212>>2]|0;if((e|0)!=0?(f=c[e+16>>2]|0,(a[f+272>>0]|0)==0):0)b=c[(c[f+268>>2]|0)+(c[d+232>>2]<<2)>>2]|0;return b|0}function Pk(d,e,f,g,h){d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;var i=0,j=0,k=0,l=0,m=0,n=0,o=0;n=d+16|0;k=c[(c[n>>2]|0)+232>>2]|0;o=e+16|0;i=c[(c[o>>2]|0)+232>>2]|0;if((i|0)<=(k|0))ma(80544,80572,81,80582);m=c[g>>2]&3;if(!((c[((m|0)==3?g:g+48|0)+40>>2]|0)==(d|0)?(c[((m|0)==2?g:g+-48|0)+40>>2]|0)==(e|0):0))l=5;a:do if((l|0)==5){if((b[(c[g+16>>2]|0)+168>>1]|0)>1){c[(c[f+16>>2]|0)+172>>2]=0;if(((i-k|0)==1?(j=Sg(d,e)|0,j|0):0)?hj(f,j)|0:0){ih(f,j);if(a[(c[n>>2]|0)+156>>0]|0)break;if(a[(c[o>>2]|0)+156>>0]|0)break;Yg(f);break}m=h&255;h=d;l=c[(c[n>>2]|0)+232>>2]|0;while(1){i=c[(c[o>>2]|0)+232>>2]|0;if((l|0)>=(i|0))break a;if((l|0)<(i+-1|0)){i=Vf(d)|0;j=g+-48|0;i=Qk(i,c[((c[g>>2]&3|0)==2?g:j)+40>>2]|0)|0;k=g}else{i=e;j=g+-48|0;k=g}a[(c[(ah(h,i,f)|0)+16>>2]|0)+112>>0]=m;n=(c[g+16>>2]|0)+168|0;b[n>>1]=(b[n>>1]|0)+-1<<16>>16;h=i;l=l+1|0;g=c[c[(c[(c[((c[k>>2]&3|0)==2?g:j)+40>>2]|0)+16>>2]|0)+180>>2]>>2]|0}}do if((i-k|0)==1){g=Sg(d,e)|0;if(g|0?hj(f,g)|0:0){c[(c[f+16>>2]|0)+172>>2]=g;m=c[g+16>>2]|0;a[m+112>>0]=h;m=m+168|0;b[m>>1]=(b[m>>1]|0)+1<<16>>16;if(a[(c[n>>2]|0)+156>>0]|0)break;if(a[(c[o>>2]|0)+156>>0]|0)break;Yg(f);break}c[(c[f+16>>2]|0)+172>>2]=0;g=ah(d,e,f)|0;a[(c[g+16>>2]|0)+112>>0]=h}while(0);i=c[(c[o>>2]|0)+232>>2]|0;if((i-(c[(c[n>>2]|0)+232>>2]|0)|0)>1){if((c[((c[g>>2]&3|0)==3?g:g+48|0)+40>>2]|0)==(d|0))l=i;else{n=f+16|0;c[(c[n>>2]|0)+172>>2]=0;l=ah(d,c[((c[g>>2]&3|0)==2?g:g+-48|0)+40>>2]|0,f)|0;c[(c[n>>2]|0)+172>>2]=l;Xg(g);g=l;l=c[(c[o>>2]|0)+232>>2]|0}while(1){i=c[g>>2]&3;j=c[((i|0)==2?g:g+-48|0)+40>>2]|0;k=c[j+16>>2]|0;if((c[k+232>>2]|0)==(l|0))break;g=c[c[k+180>>2]>>2]|0}if((j|0)!=(e|0)){a[(c[(ah(c[((i|0)==3?g:g+48|0)+40>>2]|0,e,f)|0)+16>>2]|0)+112>>0]=h;Xg(g)}}}while(0);return}function Qk(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=b+16|0;b=c[d>>2]|0;e=c[b+232>>2]|0;Rk(a,e,c[b+236>>2]|0,2);b=fh(a)|0;d=c[d>>2]|0;f=c[b+16>>2]|0;h[f+88>>3]=+h[d+88>>3];h[f+96>>3]=+h[d+96>>3];c[f+232>>2]=c[d+232>>2];d=(c[d+236>>2]|0)+1|0;c[f+236>>2]=d;c[(c[(c[(c[a+16>>2]|0)+196>>2]|0)+(e<<6)+4>>2]|0)+(d<<2)>>2]=b;return b|0}function Rk(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;h=a+16|0;f=c[(c[h>>2]|0)+196>>2]|0;i=c[f+(b<<6)+4>>2]|0;a:do if((e|0)<1){d=d-e|0;while(1){g=d+1|0;a=c[f+(b<<6)>>2]|0;if((g|0)>=(a|0))break;a=c[i+(g<<2)>>2]|0;f=d+e|0;c[(c[a+16>>2]|0)+236>>2]=f;c[i+(f<<2)>>2]=a;d=g;f=c[(c[h>>2]|0)+196>>2]|0}g=e+-1|0;d=g+a|0;while(1){if((d|0)>=(a|0))break a;c[i+(d<<2)>>2]=0;f=c[(c[h>>2]|0)+196>>2]|0;d=d+1|0;a=c[f+(b<<6)>>2]|0}}else{g=e+-1|0;a=c[f+(b<<6)>>2]|0;while(1){a=a+-1|0;if((a|0)<=(d|0))break;j=c[i+(a<<2)>>2]|0;f=g+a|0;c[(c[j+16>>2]|0)+236>>2]=f;c[i+(f<<2)>>2]=j}f=e+d|0;a=d;while(1){a=a+1|0;if((a|0)>=(f|0))break;c[i+(a<<2)>>2]=0}a=c[(c[h>>2]|0)+196>>2]|0;f=a;a=c[a+(b<<6)>>2]|0}while(0);c[f+(b<<6)>>2]=g+a;return}function Sk(a){a=a|0;var b=0;Fk(a);b=c[a+16>>2]|0;c[b+220>>2]=1;c[c[b+216>>2]>>2]=c[b+192>>2];si(a);Zh(a,0);Tk(a);Mk(a);Uk(a);return}function Tk(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;k=Vf(d)|0;l=d+16|0;f=c[l>>2]|0;j=b[f+236>>1]|0;e=j<<16>>16;m=k+16|0;if(j<<16>>16>0)a[(c[(c[m>>2]|0)+196>>2]|0)+(e+-1<<6)+49>>0]=0;j=e;while(1){if((j|0)>(b[f+238>>1]|0))break;i=c[(c[(c[(c[f+268>>2]|0)+(j<<2)>>2]|0)+16>>2]|0)+236>>2]|0;Rk(k,j,i,c[(c[f+196>>2]|0)+(j<<6)>>2]|0);g=0;h=i;while(1){f=c[l>>2]|0;e=c[f+196>>2]|0;if((g|0)>=(c[e+(j<<6)>>2]|0))break;e=c[(c[e+(j<<6)+4>>2]|0)+(g<<2)>>2]|0;c[(c[(c[(c[m>>2]|0)+196>>2]|0)+(j<<6)+4>>2]|0)+(h<<2)>>2]=e;f=c[e+16>>2]|0;c[f+236>>2]=h;if((a[f+156>>0]|0)==1)c[e+24>>2]=so(k)|0;dh(d,e);bh(k,e);f=(c[m>>2]|0)+232|0;c[f>>2]=(c[f>>2]|0)+1;g=g+1|0;h=h+1|0}h=c[(c[m>>2]|0)+196>>2]|0;c[e+(j<<6)+4>>2]=(c[h+(j<<6)+4>>2]|0)+(i<<2);a[h+(j<<6)+49>>0]=0;j=j+1|0}e=c[m>>2]|0;if((j|0)<(b[e+238>>1]|0))a[(c[e+196>>2]|0)+(j<<6)+49>>0]=0;a[f+272>>0]=1;return}function Uk(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=a+16|0;d=c[i>>2]|0;h=b[d+236>>1]|0;while(1){if((h|0)>(b[d+238>>1]|0))break;f=c[(c[d+268>>2]|0)+(h<<2)>>2]|0;g=f+16|0;while(1){d=c[g>>2]|0;e=c[c[d+180>>2]>>2]|0;if(!e)break;Xg(e)}while(1){d=c[c[d+172>>2]>>2]|0;if(!d)break;Xg(d);d=c[g>>2]|0}dh(Vf(a)|0,f);c[(c[(c[i>>2]|0)+268>>2]|0)+(h<<2)>>2]=0;h=h+1|0;d=c[i>>2]|0}return}function Vk(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;n=o;f=co(b)|0;while(1){if(!f)break;e=f+16|0;d=c[e>>2]|0;if((a[d+159>>0]|0)==7){MA(f);d=c[e>>2]|0}c[d+212>>2]=0;f=eo(b,f)|0}m=b+16|0;k=1;while(1){d=c[m>>2]|0;if((k|0)>(c[d+180>>2]|0))break;h=c[(c[d+184>>2]|0)+(k<<2)>>2]|0;i=h+16|0;d=co(h)|0;a:while(1){if(!d)break;j=eo(h,d)|0;e=d+16|0;if(a[(c[e>>2]|0)+159>>0]|0){f=Dn(d)|0;g=Dn(b)|0;c[n>>2]=f;c[n+4>>2]=g;_l(0,80591,n)|0;qo(h,d)|0;d=j;continue}NA(d,c[(c[i>>2]|0)+264>>2]|0);g=c[e>>2]|0;c[g+212>>2]=h;a[g+159>>0]=7;g=Pm(h,d)|0;while(1){if(!g){d=j;continue a}d=c[(c[g+16>>2]|0)+172>>2]|0;b:do if(d|0)do{e=d+-48|0;f=c[(c[((c[d>>2]&3|0)==2?d:e)+40>>2]|0)+16>>2]|0;if((a[f+156>>0]|0)!=1)break b;c[f+212>>2]=h;d=c[c[(c[(c[((c[d>>2]&3|0)==2?d:e)+40>>2]|0)+16>>2]|0)+180>>2]>>2]|0}while((d|0)!=0);while(0);g=Rm(h,g)|0}}k=k+1|0}l=o;return}function Wk(d,e){d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;k=e+16|0;g=vw((b[(c[k>>2]|0)+238>>1]<<2)+8|0)|0;f=c[k>>2]|0;c[f+268>>2]=g;g=0;h=b[f+236>>1]|0;while(1){if((h|0)>(b[f+238>>1]|0))break;f=fh(d)|0;c[(c[(c[k>>2]|0)+268>>2]|0)+(h<<2)>>2]=f;j=c[f+16>>2]|0;c[j+232>>2]=h;a[j+159>>0]=7;c[j+212>>2]=e;if(g|0){j=(c[(ah(g,f,0)|0)+16>>2]|0)+154|0;b[j>>1]=(b[j>>1]|0)*1e3}g=f;h=h+1|0;f=c[k>>2]|0}j=co(e)|0;while(1){f=c[k>>2]|0;if(!j)break;h=(c[(c[f+268>>2]|0)+(c[(c[j+16>>2]|0)+232>>2]<<2)>>2]|0)+16|0;f=(c[h>>2]|0)+216|0;c[f>>2]=(c[f>>2]|0)+1;f=Pm(e,j)|0;while(1){if(!f)break;i=c[f>>2]|0;d=f+-48|0;g=c[(c[(c[((i&3|0)==3?f:f+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0;while(1){if((g|0)>=(c[(c[(c[((i&3|0)==2?f:d)+40>>2]|0)+16>>2]|0)+232>>2]|0))break;i=(c[(c[c[(c[h>>2]|0)+180>>2]>>2]|0)+16>>2]|0)+168|0;b[i>>1]=(b[i>>1]|0)+1<<16>>16;g=g+1|0;i=c[f>>2]|0}f=Rm(e,f)|0}j=eo(e,j)|0}d=b[f+238>>1]|0;i=f+268|0;f=b[f+236>>1]|0;while(1){if((f|0)>(d|0))break;g=(c[(c[(c[i>>2]|0)+(f<<2)>>2]|0)+16>>2]|0)+216|0;h=c[g>>2]|0;if((h|0)>1)c[g>>2]=h+-1;f=f+1|0}return}function Xk(d,e,f,g){d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0;k=(c[(c[e+16>>2]|0)+212>>2]|0)+16|0;e=c[k>>2]|0;j=f+1|0;if((j|0)!=(a[e+273>>0]|0)){i=b[e+236>>1]|0;while(1){h=b[e+238>>1]|0;if((i|0)>(h<<16>>16|0))break;mi(d,c[(c[e+268>>2]|0)+(i<<2)>>2]|0);i=i+1|0;e=c[k>>2]|0}i=b[e+236>>1]|0;while(1){if((i|0)>(h<<16>>16|0))break;ni(g,c[(c[e+268>>2]|0)+(i<<2)>>2]|0,f);d=c[k>>2]|0;i=i+1|0;h=b[d+238>>1]|0;e=d}a[e+273>>0]=j}return}function Yk(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;h=co(b)|0;while(1){if(!h)break;c[(c[h+16>>2]|0)+212>>2]=0;g=Pm(b,h)|0;while(1){if(!g)break;d=c[(c[g+16>>2]|0)+172>>2]|0;a:do if(d|0)do{e=d+-48|0;f=c[(c[((c[d>>2]&3|0)==2?d:e)+40>>2]|0)+16>>2]|0;if((a[f+156>>0]|0)!=1)break a;c[f+212>>2]=0;d=c[c[(c[(c[((c[d>>2]&3|0)==2?d:e)+40>>2]|0)+16>>2]|0)+180>>2]>>2]|0}while((d|0)!=0);while(0);g=Rm(b,g)|0}h=eo(b,h)|0}Zk(b);return}function Zk(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;e=b+16|0;d=1;while(1){f=c[e>>2]|0;if((d|0)>(c[f+180>>2]|0))break;Zk(c[(c[f+184>>2]|0)+(d<<2)>>2]|0);d=d+1|0}i=co(b)|0;while(1){if(!i)break;d=(c[i+16>>2]|0)+212|0;if(!(c[d>>2]|0))c[d>>2]=b;h=Pm(b,i)|0;while(1){if(!h)break;d=c[(c[h+16>>2]|0)+172>>2]|0;a:do if(d|0)do{e=c[d>>2]|0;g=d+-48|0;f=c[(c[((e&3|0)==2?d:g)+40>>2]|0)+16>>2]|0;if((a[f+156>>0]|0)!=1)break a;f=f+212|0;if(!(c[f>>2]|0)){c[f>>2]=b;e=c[d>>2]|0}d=c[c[(c[(c[((e&3|0)==2?d:g)+40>>2]|0)+16>>2]|0)+180>>2]>>2]|0}while((d|0)!=0);while(0);h=Rm(b,h)|0}i=eo(b,i)|0}return}function _k(a){a=a|0;var b=0,c=0,d=0;d=iB(a)|0;c=co(a)|0;while(1){if(!c)break;b=Pm(a,c)|0;while(1){if(!b)break;$k(b,d);b=Rm(a,b)|0}c=eo(a,c)|0}Kl(d)|0;return}function $k(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0;M=l;l=l+320|0;H=M+296|0;G=M+280|0;x=M+136|0;w=M+120|0;n=M+104|0;i=M+88|0;f=M+80|0;E=M+16|0;z=M;j=M+264|0;k=M+248|0;m=M+232|0;o=M+216|0;A=M+200|0;B=M+184|0;y=M+168|0;D=M+152|0;g=al(Im(a,80645)|0,b)|0;q=al(Im(a,80651)|0,b)|0;r=(q|0)!=0;b=(g|0)!=0;do if(b|r?(L=a+16|0,e=c[(c[L>>2]|0)+8>>2]|0,e|0):0){if((c[e+4>>2]|0)>1){K=Dn(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)|0;L=Dn(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0)|0;c[f>>2]=K;c[f+4>>2]=L;_l(0,80657,f)|0;break}I=c[e>>2]|0;e=c[I+4>>2]|0;p=c[a>>2]&3;s=a+-48|0;t=c[((p|0)==2?a:s)+40>>2]|0;u=a+48|0;p=c[((p|0)==3?a:u)+40>>2]|0;J=ww(48)|0;v=I+12|0;c[J+12>>2]=c[v>>2];C=I+8|0;c[J+8>>2]=c[C>>2];do if(b){h=(c[g+16>>2]|0)+16|0;g=(c[t+16>>2]|0)+16|0;c[H>>2]=c[g>>2];c[H+4>>2]=c[g+4>>2];c[H+8>>2]=c[g+8>>2];c[H+12>>2]=c[g+12>>2];if(!(bl(H,h)|0)){o=Dn(c[((c[a>>2]&3|0)==3?a:u)+40>>2]|0)|0;F=Dn(c[((c[a>>2]&3|0)==2?a:s)+40>>2]|0)|0;K=Im(a,80645)|0;c[i>>2]=o;c[i+4>>2]=F;c[i+8>>2]=K;_l(0,80698,i)|0;K=26;break}b=c[I>>2]|0;c[H>>2]=c[b>>2];c[H+4>>2]=c[b+4>>2];c[H+8>>2]=c[b+8>>2];c[H+12>>2]=c[b+12>>2];if(bl(H,h)|0){F=(c[p+16>>2]|0)+16|0;c[H>>2]=c[F>>2];c[H+4>>2]=c[F+4>>2];c[H+8>>2]=c[F+8>>2];c[H+12>>2]=c[F+12>>2];if(bl(H,h)|0){o=Dn(c[((c[a>>2]&3|0)==3?a:u)+40>>2]|0)|0;F=Dn(c[((c[a>>2]&3|0)==2?a:s)+40>>2]|0)|0;K=Im(a,80645)|0;c[n>>2]=o;c[n+4>>2]=F;c[n+8>>2]=K;_l(0,80741,n)|0;K=26;break}if(!(c[C>>2]|0))ma(80783,80794,369,80805);o=I+16|0;c[G>>2]=c[b>>2];c[G+4>>2]=c[b+4>>2];c[G+8>>2]=c[b+8>>2];c[G+12>>2]=c[b+12>>2];c[H>>2]=c[o>>2];c[H+4>>2]=c[o+4>>2];c[H+8>>2]=c[o+8>>2];c[H+12>>2]=c[o+12>>2];cl(z,G,H,h);F=(c[I>>2]|0)+48|0;c[F>>2]=c[z>>2];c[F+4>>2]=c[z+4>>2];c[F+8>>2]=c[z+8>>2];c[F+12>>2]=c[z+12>>2];F=(c[I>>2]|0)+16|0;c[G>>2]=c[z>>2];c[G+4>>2]=c[z+4>>2];c[G+8>>2]=c[z+8>>2];c[G+12>>2]=c[z+12>>2];c[H>>2]=c[o>>2];c[H+4>>2]=c[o+4>>2];c[H+8>>2]=c[o+8>>2];c[H+12>>2]=c[o+12>>2];dl(j,G,H);c[F>>2]=c[j>>2];c[F+4>>2]=c[j+4>>2];c[F+8>>2]=c[j+8>>2];c[F+12>>2]=c[j+12>>2];F=c[I>>2]|0;b=F+16|0;c[G>>2]=c[b>>2];c[G+4>>2]=c[b+4>>2];c[G+8>>2]=c[b+8>>2];c[G+12>>2]=c[b+12>>2];c[H>>2]=c[o>>2];c[H+4>>2]=c[o+4>>2];c[H+8>>2]=c[o+8>>2];c[H+12>>2]=c[o+12>>2];dl(k,G,H);c[F>>2]=c[k>>2];c[F+4>>2]=c[k+4>>2];c[F+8>>2]=c[k+8>>2];c[F+12>>2]=c[k+12>>2];F=c[I>>2]|0;b=F+32|0;F=F+16|0;c[G>>2]=c[F>>2];c[G+4>>2]=c[F+4>>2];c[G+8>>2]=c[F+8>>2];c[G+12>>2]=c[F+12>>2];c[H>>2]=c[z>>2];c[H+4>>2]=c[z+4>>2];c[H+8>>2]=c[z+8>>2];c[H+12>>2]=c[z+12>>2];dl(m,G,H);c[b>>2]=c[m>>2];c[b+4>>2]=c[m+4>>2];c[b+8>>2]=c[m+8>>2];c[b+12>>2]=c[m+12>>2];b=c[v>>2]|0;if(!b){F=3;break}F=(Nt(a,c[I>>2]|0,0,0,J,b)|0)+3|0;break}g=e+-1|0;b=0;while(1){if((b|0)>=(g|0))break;if(el((c[I>>2]|0)+(b<<4)|0,h)|0)break;b=b+3|0}e=c[v>>2]|0;f=(e|0)!=0;if((b|0)==(g|0))if(f){F=J+32|0;m=I+32|0;n=(c[I>>2]|0)+(g<<4)|0;c[G>>2]=c[m>>2];c[G+4>>2]=c[m+4>>2];c[G+8>>2]=c[m+8>>2];c[G+12>>2]=c[m+12>>2];c[H>>2]=c[n>>2];c[H+4>>2]=c[n+4>>2];c[H+8>>2]=c[n+8>>2];c[H+12>>2]=c[n+12>>2];cl(o,G,H,h);c[F>>2]=c[o>>2];c[F+4>>2]=c[o+4>>2];c[F+8>>2]=c[o+8>>2];c[F+12>>2]=c[o+12>>2];F=g;break}else ma(80822,80794,387,80805);else{if(f)b=Nt(a,c[I>>2]|0,0,b,J,e)|0;F=b+3|0;break}}else K=26;while(0);if((K|0)==26){b=e+-1|0;if(!(c[v>>2]|0))F=b;else{F=J+32|0;o=I+32|0;c[F>>2]=c[o>>2];c[F+4>>2]=c[o+4>>2];c[F+8>>2]=c[o+8>>2];c[F+12>>2]=c[o+12>>2];F=b}}do if(r){f=(c[q+16>>2]|0)+16|0;r=(c[p+16>>2]|0)+16|0;c[H>>2]=c[r>>2];c[H+4>>2]=c[r+4>>2];c[H+8>>2]=c[r+8>>2];c[H+12>>2]=c[r+12>>2];if(!(bl(H,f)|0)){G=Dn(c[((c[a>>2]&3|0)==3?a:u)+40>>2]|0)|0;H=Dn(c[((c[a>>2]&3|0)==2?a:s)+40>>2]|0)|0;K=Im(a,80651)|0;c[w>>2]=G;c[w+4>>2]=H;c[w+8>>2]=K;_l(0,80833,w)|0;K=52;break}b=(c[I>>2]|0)+(F<<4)|0;c[H>>2]=c[b>>2];c[H+4>>2]=c[b+4>>2];c[H+8>>2]=c[b+8>>2];c[H+12>>2]=c[b+12>>2];if(bl(H,f)|0){E=(c[t+16>>2]|0)+16|0;c[H>>2]=c[E>>2];c[H+4>>2]=c[E+4>>2];c[H+8>>2]=c[E+8>>2];c[H+12>>2]=c[E+12>>2];if(bl(H,f)|0){G=Dn(c[((c[a>>2]&3|0)==3?a:u)+40>>2]|0)|0;H=Dn(c[((c[a>>2]&3|0)==2?a:s)+40>>2]|0)|0;K=Im(a,80651)|0;c[x>>2]=G;c[x+4>>2]=H;c[x+8>>2]=K;_l(0,80876,x)|0;K=52;break}if(!(c[v>>2]|0))ma(80822,80794,429,80805);x=J+32|0;c[G>>2]=c[b>>2];c[G+4>>2]=c[b+4>>2];c[G+8>>2]=c[b+8>>2];c[G+12>>2]=c[b+12>>2];c[H>>2]=c[x>>2];c[H+4>>2]=c[x+4>>2];c[H+8>>2]=c[x+8>>2];c[H+12>>2]=c[x+12>>2];cl(z,G,H,f);d=F+-3|0;E=(c[I>>2]|0)+(d<<4)|0;c[E>>2]=c[z>>2];c[E+4>>2]=c[z+4>>2];c[E+8>>2]=c[z+8>>2];c[E+12>>2]=c[z+12>>2];E=F+-1|0;b=(c[I>>2]|0)+(E<<4)|0;c[G>>2]=c[z>>2];c[G+4>>2]=c[z+4>>2];c[G+8>>2]=c[z+8>>2];c[G+12>>2]=c[z+12>>2];c[H>>2]=c[x>>2];c[H+4>>2]=c[x+4>>2];c[H+8>>2]=c[x+8>>2];c[H+12>>2]=c[x+12>>2];dl(A,G,H);c[b>>2]=c[A>>2];c[b+4>>2]=c[A+4>>2];c[b+8>>2]=c[A+8>>2];c[b+12>>2]=c[A+12>>2];b=c[I>>2]|0;D=b+(F<<4)|0;b=b+(E<<4)|0;c[G>>2]=c[b>>2];c[G+4>>2]=c[b+4>>2];c[G+8>>2]=c[b+8>>2];c[G+12>>2]=c[b+12>>2];c[H>>2]=c[x>>2];c[H+4>>2]=c[x+4>>2];c[H+8>>2]=c[x+8>>2];c[H+12>>2]=c[x+12>>2];dl(B,G,H);c[D>>2]=c[B>>2];c[D+4>>2]=c[B+4>>2];c[D+8>>2]=c[B+8>>2];c[D+12>>2]=c[B+12>>2];D=c[I>>2]|0;b=D+(F+-2<<4)|0;E=D+(E<<4)|0;c[G>>2]=c[E>>2];c[G+4>>2]=c[E+4>>2];c[G+8>>2]=c[E+8>>2];c[G+12>>2]=c[E+12>>2];c[H>>2]=c[z>>2];c[H+4>>2]=c[z+4>>2];c[H+8>>2]=c[z+8>>2];c[H+12>>2]=c[z+12>>2];dl(y,G,H);c[b>>2]=c[y>>2];c[b+4>>2]=c[y+4>>2];c[b+8>>2]=c[y+8>>2];c[b+12>>2]=c[y+12>>2];b=c[C>>2]|0;if(!b)break;d=Pt(a,c[I>>2]|0,d,d,J,b)|0;break}e=F;while(1){if((e|0)>0)b=0;else break;while(1){if((b|0)==4)break;B=E+(b<<4)|0;A=(c[I>>2]|0)+(e-b<<4)|0;c[B>>2]=c[A>>2];c[B+4>>2]=c[A+4>>2];c[B+8>>2]=c[A+8>>2];c[B+12>>2]=c[A+12>>2];b=b+1|0}if(el(E,f)|0){b=0;K=43;break}e=e+-3|0}a:do if((K|0)==43)while(1){K=0;if((b|0)==4)break a;K=(c[I>>2]|0)+(e-b<<4)|0;B=E+(b<<4)|0;c[K>>2]=c[B>>2];c[K+4>>2]=c[B+4>>2];c[K+8>>2]=c[B+8>>2];c[K+12>>2]=c[B+12>>2];b=b+1|0;K=43}while(0);if(e|0){d=e+-3|0;b=c[C>>2]|0;if(!b)break;d=Pt(a,c[I>>2]|0,d,F+-3|0,J,b)|0;break}if(!(c[C>>2]|0))ma(80783,80794,452,80805);else{d=J+16|0;E=I+16|0;a=c[I>>2]|0;c[G>>2]=c[E>>2];c[G+4>>2]=c[E+4>>2];c[G+8>>2]=c[E+8>>2];c[G+12>>2]=c[E+12>>2];c[H>>2]=c[a>>2];c[H+4>>2]=c[a+4>>2];c[H+8>>2]=c[a+8>>2];c[H+12>>2]=c[a+12>>2];cl(D,G,H,f);c[d>>2]=c[D>>2];c[d+4>>2]=c[D+4>>2];c[d+8>>2]=c[D+8>>2];c[d+12>>2]=c[D+12>>2];d=0;break}}else K=52;while(0);if((K|0)==52)if(!(c[C>>2]|0))d=0;else{d=J+16|0;K=I+16|0;c[d>>2]=c[K>>2];c[d+4>>2]=c[K+4>>2];c[d+8>>2]=c[K+8>>2];c[d+12>>2]=c[K+12>>2];d=0}b=F-d+1|0;e=J+4|0;c[e>>2]=b;c[J>>2]=ww(b<<4)|0;b=0;while(1){if((b|0)>=(c[e>>2]|0))break;K=(c[J>>2]|0)+(b<<4)|0;a=(c[I>>2]|0)+(d<<4)|0;c[K>>2]=c[a>>2];c[K+4>>2]=c[a+4>>2];c[K+8>>2]=c[a+8>>2];c[K+12>>2]=c[a+12>>2];d=d+1|0;b=b+1|0}_I(c[I>>2]|0);_I(I);c[c[(c[L>>2]|0)+8>>2]>>2]=J}while(0);l=M;return}function al(b,d){b=b|0;d=d|0;var e=0,f=0;f=l;l=l+16|0;e=f;if((b|0)!=0?(a[b>>0]|0)!=0:0){d=jB(d,b)|0;if(!d){c[e>>2]=b;_l(0,80996,e)|0;d=0}}else d=0;l=f;return d|0}function bl(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;d=+h[a>>3];if((+h[b>>3]<=d?d<=+h[b+16>>3]:0)?(c=+h[a+8>>3],+h[b+8>>3]<=c):0)a=c<=+h[b+24>>3]&1;else a=0;return a|0}function cl(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0,j=0.0,k=0.0,m=0.0,n=0,o=0.0,p=0.0,q=0.0,r=0.0,s=0.0,t=0.0,u=0,v=0,w=0,x=0,y=0.0,z=0,A=0,B=0,C=0;C=l;l=l+464|0;n=C+48|0;B=C+32|0;u=C+16|0;v=C;w=C+364|0;x=C+264|0;z=C+164|0;A=C+64|0;q=+h[b>>3];r=+h[b+8>>3];s=+h[d>>3];t=+h[d+8>>3];c[u>>2]=c[e>>2];c[u+4>>2]=c[e+4>>2];c[u+8>>2]=c[e+8>>2];c[u+12>>2]=c[e+12>>2];e=e+16|0;c[v>>2]=c[e>>2];c[v+4>>2]=c[e+4>>2];c[v+8>>2]=c[e+8>>2];c[v+12>>2]=c[e+12>>2];k=+h[u>>3];if((s<k?(f=r+ +(~~((k-q)*(r-t)/(q-s))|0),f>=+h[u+8>>3]):0)?f<=+h[v+8>>3]:0){o=f;p=k}else i=4;do if((i|0)==4){j=+h[v>>3];if(s>j){g=r+ +(~~((j-q)*(r-t)/(q-s))|0);f=+h[u+8>>3];if(g>=f?g<=+h[v+8>>3]:0){o=g;p=j;break}}else f=+h[u+8>>3];if(t<f?(m=q+ +(~~((f-r)*(q-s)/(r-t))|0),!(!(m>=k)|!(m<=j))):0){o=f;p=m;break}f=+h[v+8>>3];if(t>f?(y=q+ +(~~((f-r)*(q-s)/(r-t))|0),!(!(y>=k)|!(y<=j))):0){o=f;p=y;break};c[n>>2]=c[b>>2];c[n+4>>2]=c[b+4>>2];c[n+8>>2]=c[b+8>>2];c[n+12>>2]=c[b+12>>2];w=jl(n,w)|0;c[n>>2]=c[d>>2];c[n+4>>2]=c[d+4>>2];c[n+8>>2]=c[d+8>>2];c[n+12>>2]=c[d+12>>2];x=jl(n,x)|0;c[n>>2]=c[u>>2];c[n+4>>2]=c[u+4>>2];c[n+8>>2]=c[u+8>>2];c[n+12>>2]=c[u+12>>2];z=jl(n,z)|0;c[n>>2]=c[v>>2];c[n+4>>2]=c[v+4>>2];c[n+8>>2]=c[v+8>>2];c[n+12>>2]=c[v+12>>2];A=jl(n,A)|0;c[B>>2]=w;c[B+4>>2]=x;c[B+8>>2]=z;c[B+12>>2]=A;_l(1,80918,B)|0;ma(123205,80794,78,80970)}while(0);h[a>>3]=p;h[a+8>>3]=o;l=C;return}function dl(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=(+h[c+8>>3]+ +h[b+8>>3])*.5;h[a>>3]=(+h[c>>3]+ +h[b>>3])*.5;h[a+8>>3]=d;return}function el(a,b){a=a|0;b=b|0;var d=0.0,e=0,f=0.0,g=0,i=0,j=0,k=0,m=0;m=l;l=l+80|0;j=m+16|0;k=m;e=0;while(1){if((e|0)==4)break;i=j+(e<<4)|0;g=a+(e<<4)|0;c[i>>2]=c[g>>2];c[i+4>>2]=c[g+4>>2];c[i+8>>2]=c[g+8>>2];c[i+12>>2]=c[g+12>>2];e=e+1|0}e=b+8|0;i=b+24|0;d=+fl(a,0.0,1.0,+h[b>>3],+h[e>>3],+h[i>>3]);if(d>=0.0&d<2.0)PA(k,j,3,d,a,0);else d=2.0;g=b+16|0;f=+fl(a,0.0,d>1.0?1.0:d,+h[g>>3],+h[e>>3],+h[i>>3]);if(f>=0.0&f<d){PA(k,j,3,f,a,0);d=f}f=+gl(a,0.0,d>1.0?1.0:d,+h[e>>3],+h[b>>3],+h[g>>3]);if(f>=0.0&f<d){PA(k,j,3,f,a,0);d=f}f=+gl(a,0.0,d>1.0?1.0:d,+h[i>>3],+h[b>>3],+h[g>>3]);if(f>=0.0&f<d){PA(k,j,3,f,a,0);d=f}l=m;return d<2.0|0}function fl(a,b,c,d,e,f){a=a|0;b=+b;c=+c;d=+d;e=+e;f=+f;var g=0.0,i=0,j=0,k=0,m=0;m=l;l=l+144|0;j=m+80|0;k=m+16|0;i=m;a:do if(!(b==c)){switch(il(a,d)|0){case 0:{b=-1.0;break a}case 1:{if(+B(+(+h[a+48>>3]-d))<=.005){b=+h[a+56>>3];b=!(b>=e)|!(b<=f)?-1.0:c;break a}break}default:{}}PA(i,a,3,.5,j,k);g=(c+b)*.5;b=+fl(j,b,g,d,e,f);if(!(b>=0.0))b=+fl(k,g,c,d,e,f)}while(0);l=m;return +b}function gl(a,b,c,d,e,f){a=a|0;b=+b;c=+c;d=+d;e=+e;f=+f;var g=0.0,i=0,j=0,k=0,m=0;m=l;l=l+144|0;j=m+80|0;k=m+16|0;i=m;a:do if(!(b==c)){switch(hl(a,d)|0){case 0:{b=-1.0;break a}case 1:{if(+B(+(+h[a+56>>3]-d))<=.005){b=+h[a+48>>3];b=!(b>=e)|!(b<=f)?-1.0:c;break a}break}default:{}}PA(i,a,3,.5,j,k);g=(c+b)*.5;b=+gl(j,b,g,d,e,f);if(!(b>=0.0))b=+gl(k,g,c,d,e,f)}while(0);l=m;return +b}function hl(a,b){a=a|0;b=+b;var c=0,d=0,e=0,f=0.0,g=0,i=0;f=+h[a+8>>3];e=f<b?-1:f>b&1;c=1;d=e;e=(e|0)==0&1;while(1){if((c|0)==4)break;f=+h[a+(c<<4)+8>>3];i=f<b?-1:f>b&1;g=e+((d|0)!=0&(i|0)!=(d|0)&1)|0;c=c+1|0;d=i;e=g}return e|0}function il(a,b){a=a|0;b=+b;var c=0,d=0,e=0,f=0.0,g=0,i=0;f=+h[a>>3];e=f<b?-1:f>b&1;c=1;d=e;e=(e|0)==0&1;while(1){if((c|0)==4)break;f=+h[a+(c<<4)>>3];i=f<b?-1:f>b&1;g=e+((d|0)!=0&(i|0)!=(d|0)&1)|0;c=c+1|0;d=i;e=g}return e|0}function jl(a,b){a=a|0;b=b|0;var c=0,d=0,e=0.0;c=l;l=l+16|0;d=c;e=+h[a+8>>3];h[d>>3]=+h[a>>3];h[d+8>>3]=e;pL(b,80984,d)|0;l=c;return b|0}function kl(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,q=0,r=0,s=0,t=0,u=0,v=0;v=l;l=l+16|0;s=v;u=4;t=ZI(40)|0;c[t>>2]=0;r=a+16|0;e=c[r>>2]|0;a:do if(((b[e+238>>1]|0)-(b[e+236>>1]|0)|0)>=2){m=1;d=e;e=c[e+196>>2]|0;b:while(1){n=m+1|0;if(!(c[e+(n<<6)>>2]|0)){q=15;break}else k=0;while(1){h=c[e+(m<<6)>>2]|0;if((k|0)>=(h|0)){m=n;continue b}j=c[(c[e+(m<<6)+4>>2]|0)+(k<<2)>>2]|0;o=0;d=_(18,j|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,u|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){d=z;break b}if(d<<24>>24){i=k;d=h;while(1){g=i+1|0;if((g|0)>=(d|0))break;o=0;d=$(17,j|0,c[(c[e+(m<<6)+4>>2]|0)+(g<<2)>>2]|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,t|0,u|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){d=z;break b}if(!(d<<24>>24))break;d=c[(c[r>>2]|0)+196>>2]|0;i=g;e=d;d=c[d+(m<<6)>>2]|0}if((g-k|0)>1){o=0;ka(6,a|0,m|0,k|0,i|0,1);d=o;o=0;if((d|0)!=0&(p|0)!=0){e=SN(c[d>>2]|0,t|0,u|0)|0;if(!e)Ua(d|0,p|0);z=p}else e=-1;if((e|0)==1){d=z;break b}}}e=c[r>>2]|0;k=k+1|0;d=e;e=c[e+196>>2]|0}}c:do if((q|0)==15){while(1){if((m|0)>0)k=0;else break;while(1){e=c[d+196>>2]|0;h=c[e+(m<<6)>>2]|0;if((k|0)>=(h|0))break;j=c[(c[e+(m<<6)+4>>2]|0)+(k<<2)>>2]|0;o=0;d=_(19,j|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,u|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){d=z;break c}if(d<<24>>24){i=k;d=h;while(1){g=i+1|0;if((g|0)>=(d|0))break;o=0;d=$(18,j|0,c[(c[e+(m<<6)+4>>2]|0)+(g<<2)>>2]|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,t|0,u|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){d=z;break c}if(!(d<<24>>24))break;d=c[(c[r>>2]|0)+196>>2]|0;i=g;e=d;d=c[d+(m<<6)>>2]|0}if((g-k|0)>1){o=0;ka(6,a|0,m|0,k|0,i|0,0);d=o;o=0;if((d|0)!=0&(p|0)!=0){e=SN(c[d>>2]|0,t|0,u|0)|0;if(!e)Ua(d|0,p|0);z=p}else e=-1;if((e|0)==1){d=z;break c}}}k=k+1|0;d=c[r>>2]|0}m=m+-1|0;q=15}t=RN(167760,1,t|0,u|0)|0;u=z;o=0;d=o;o=0;if((d|0)!=0&(p|0)!=0){e=SN(c[d>>2]|0,t|0,u|0)|0;if(!e)Ua(d|0,p|0);z=p}else e=-1;if((e|0)==1)d=z;else d=0}while(0);d:while(1){if(d){o=0;aa(11,3,81024,s|0)|0;d=o;o=0;if((d|0)!=0&(p|0)!=0){e=SN(c[d>>2]|0,t|0,u|0)|0;if(!e)Ua(d|0,p|0);z=p}else e=-1;if((e|0)==1){d=z;continue}else break}else f=1;while(1){d=c[r>>2]|0;if((f|0)>(c[d+180>>2]|0))break a;o=0;fa(85,c[(c[d+184>>2]|0)+(f<<2)>>2]|0);d=o;o=0;if((d|0)!=0&(p|0)!=0){e=SN(c[d>>2]|0,t|0,u|0)|0;if(!e)Ua(d|0,p|0);z=p}else e=-1;if((e|0)==1){d=z;continue d}f=f+1|0}}}while(0);_I(t|0);l=v;return}function ll(b){b=b|0;b=c[b+16>>2]|0;if(((a[b+156>>0]|0)==1?(c[b+176>>2]|0)==1:0)?(c[b+184>>2]|0)==1:0)b=(c[b+104>>2]|0)==0&1;else b=0;return b|0}function ml(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+80|0;h=i+40|0;g=i;e=c[c[(c[a+16>>2]|0)+172>>2]>>2]|0;a=c[c[(c[b+16>>2]|0)+172>>2]>>2]|0;if(((ll(b)|0)<<24>>24!=0?(c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0)==(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0):0)?(sl(e,a)|0)<<24>>24!=0:0){d=(c[a+16>>2]|0)+16|0;f=g;a=(c[e+16>>2]|0)+16|0;b=f+40|0;do{c[f>>2]=c[a>>2];f=f+4|0;a=a+4|0}while((f|0)<(b|0));f=h;a=d;b=f+40|0;do{c[f>>2]=c[a>>2];f=f+4|0;a=a+4|0}while((f|0)<(b|0));a=(Wf(g,h)|0)==0&1}else a=0;l=i;return a|0}function nl(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;t=a+16|0;q=c[(c[(c[(c[t>>2]|0)+196>>2]|0)+(b<<6)+4>>2]|0)+(d<<2)>>2]|0;p=d+1|0;m=(f|0)==1;n=q+16|0;l=p;while(1){if((l|0)>(e|0)){g=e;s=p;break}o=c[(c[(c[(c[t>>2]|0)+196>>2]|0)+(b<<6)+4>>2]|0)+(l<<2)>>2]|0;k=o+16|0;a:do if(m)while(1){d=c[k>>2]|0;j=c[c[d+180>>2]>>2]|0;if(!j)break a;h=c[(c[n>>2]|0)+180>>2]|0;i=j+-48|0;f=0;while(1){d=c[h+(f<<2)>>2]|0;if(!d){r=8;break}if((c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)==(c[((c[j>>2]&3|0)==2?j:i)+40>>2]|0))break;else f=f+1|0}if((r|0)==8){r=0;d=ah(q,c[((c[j>>2]&3|0)==2?j:i)+40>>2]|0,j)|0}while(1){f=c[c[(c[k>>2]|0)+172>>2]>>2]|0;if(!f)break;ih(f,d);Xg(f)}Xg(j)}else while(1){d=c[k>>2]|0;j=c[c[d+172>>2]>>2]|0;if(!j)break a;h=c[(c[n>>2]|0)+172>>2]|0;i=j+48|0;f=0;while(1){d=c[h+(f<<2)>>2]|0;if(!d){r=17;break}if((c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0)==(c[((c[j>>2]&3|0)==3?j:i)+40>>2]|0))break;else f=f+1|0}if((r|0)==17){r=0;d=ah(c[((c[j>>2]&3|0)==3?j:i)+40>>2]|0,q,j)|0}while(1){f=c[c[(c[k>>2]|0)+180>>2]>>2]|0;if(!f)break;ih(f,d);Xg(f)}Xg(j)}while(0);if((c[d+176>>2]|0)!=(0-(c[d+184>>2]|0)|0)){r=23;break}dh(a,o);l=l+1|0}if((r|0)==23)ma(81160,81204,115,81211);while(1){g=g+1|0;d=c[(c[t>>2]|0)+196>>2]|0;f=d+(b<<6)|0;if((g|0)>=(c[f>>2]|0))break;e=c[d+(b<<6)+4>>2]|0;r=c[e+(g<<2)>>2]|0;c[e+(s<<2)>>2]=r;c[(c[r+16>>2]|0)+236>>2]=s;s=s+1|0}c[f>>2]=s;c[(c[d+(b<<6)+4>>2]|0)+(s<<2)>>2]=0;return}function ol(b){b=b|0;b=c[b+16>>2]|0;if(((a[b+156>>0]|0)==1?(c[b+184>>2]|0)==1:0)?(c[b+176>>2]|0)==1:0)b=(c[b+104>>2]|0)==0&1;else b=0;return b|0}function pl(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+80|0;h=i+40|0;g=i;e=c[c[(c[a+16>>2]|0)+180>>2]>>2]|0;a=c[c[(c[b+16>>2]|0)+180>>2]>>2]|0;if(((ol(b)|0)<<24>>24!=0?(c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0)==(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0):0)?(sl(e,a)|0)<<24>>24!=0:0){d=(c[a+16>>2]|0)+56|0;f=g;a=(c[e+16>>2]|0)+56|0;b=f+40|0;do{c[f>>2]=c[a>>2];f=f+4|0;a=a+4|0}while((f|0)<(b|0));f=h;a=d;b=f+40|0;do{c[f>>2]=c[a>>2];f=f+4|0;a=a+4|0}while((f|0)<(b|0));a=(Wf(g,h)|0)==0&1}else a=0;l=i;return a|0}function ql(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0;r=l;l=l+32|0;p=r+16|0;o=r;m=d+16|0;f=c[m>>2]|0;e=b[f+236>>1]|0;while(1){if((e|0)>(b[f+238>>1]|0))break;c[(c[f+268>>2]|0)+(e<<2)>>2]=0;e=e+1|0;f=c[m>>2]|0}ij(d);j=co(d)|0;while(1){if(!j)break;rl(d,j);i=Pm(d,j)|0;while(1){if(!i)break;else f=i;while(1){e=c[(c[f+16>>2]|0)+172>>2]|0;if(!e)break;else f=e}h=i+-48|0;while(1){e=f+-48|0;g=c[((c[f>>2]&3|0)==2?f:e)+40>>2]|0;if((c[(c[g+16>>2]|0)+232>>2]|0)>=(c[(c[(c[((c[i>>2]&3|0)==2?i:h)+40>>2]|0)+16>>2]|0)+232>>2]|0))break;rl(d,g);f=c[c[(c[(c[((c[f>>2]&3|0)==2?f:e)+40>>2]|0)+16>>2]|0)+180>>2]>>2]|0}i=Rm(d,i)|0}j=eo(d,j)|0}e=c[m>>2]|0;i=b[e+236>>1]|0;while(1){if((i|0)>(b[e+238>>1]|0)){k=1;n=e;break}e=c[(c[e+268>>2]|0)+(i<<2)>>2]|0;j=c[(c[(c[(Vf(d)|0)+16>>2]|0)+196>>2]|0)+(i<<6)+4>>2]|0;f=e+16|0;if((c[j+(c[(c[f>>2]|0)+236>>2]<<2)>>2]|0)!=(e|0)){q=17;break}h=c[(c[(c[(Vf(d)|0)+16>>2]|0)+196>>2]|0)+(i<<6)+4>>2]|0;e=c[m>>2]|0;f=c[e+196>>2]|0;c[f+(i<<6)+4>>2]=h+(c[(c[(c[(c[e+268>>2]|0)+(i<<2)>>2]|0)+16>>2]|0)+236>>2]<<2);e=-1;h=0;a:while(1){if((h|0)>=(c[f+(i<<6)>>2]|0))break;f=c[(c[f+(i<<6)+4>>2]|0)+(h<<2)>>2]|0;if(!f)break;g=c[f+16>>2]|0;b:do if(!(a[g+156>>0]|0))if(!(Bo(d,f)|0))break a;else e=h;else{f=c[c[g+172>>2]>>2]|0;while(1){if(!f)break b;g=c[(c[f+16>>2]|0)+116>>2]|0;if(!g)break;else f=g}if(Bo(d,c[((c[f>>2]&3|0)==3?f:f+48|0)+40>>2]|0)|0){j=(Bo(d,c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0)|0)==0;e=j?e:h}}while(0);h=h+1|0;f=c[(c[m>>2]|0)+196>>2]|0}if((e|0)==-1){c[p>>2]=Dn(d)|0;c[p+4>>2]=i;_l(0,81124,p)|0}j=c[m>>2]|0;c[(c[j+196>>2]|0)+(i<<6)>>2]=e+1;i=i+1|0;e=j}if((q|0)==17){p=Dn(e)|0;q=c[(c[f>>2]|0)+236>>2]|0;c[o>>2]=p;c[o+4>>2]=q;c[o+8>>2]=i;_l(1,81066,o)|0;Ua(167760,1)}while(1){if((k|0)>(c[n+180>>2]|0))break;ql(c[(c[n+184>>2]|0)+(k<<2)>>2]|0);k=k+1|0;n=c[m>>2]|0}l=r;return}function rl(a,b){a=a|0;b=b|0;var d=0,e=0;d=c[b+16>>2]|0;a=(c[(c[a+16>>2]|0)+268>>2]|0)+(c[d+232>>2]<<2)|0;e=c[a>>2]|0;if(!((e|0)!=0?(c[(c[e+16>>2]|0)+236>>2]|0)<=(c[d+236>>2]|0):0))c[a>>2]=b;return}function sl(b,d){b=b|0;d=d|0;var e=0,f=0;while(1){f=c[b+16>>2]|0;if(!(a[f+112>>0]|0))break;b=c[f+116>>2]|0}while(1){e=c[d+16>>2]|0;if(!(a[e+112>>0]|0))break;d=c[e+116>>2]|0}if((a[f+153>>0]|0)==0?(a[e+153>>0]|0)==0:0){f=c[d>>2]&3;e=c[b>>2]&3;b=(O((c[(c[(c[((e|0)==3?b:b+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((e|0)==2?b:b+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)|0,(c[(c[(c[((f|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((f|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)|0)|0)>0&1}else b=0;return b|0}function tl(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+544|0;j=k+528|0;ul(j,k+512|0,k);e=(a[173894]|0)+1<<24>>24;a[173894]=e<<24>>24==0?1:e;e=c[b+16>>2]|0;c[e+220>>2]=0;c[e+232>>2]=0;e=(d|0)>0;d=co(b)|0;while(1){if(!d)break;if(e?(h=c[d+16>>2]|0,i=c[h+212>>2]|0,(i|0)!=0):0){g=c[(c[(c[i+16>>2]|0)+268>>2]|0)+(c[h+232>>2]<<2)>>2]|0;f=7}else f=6;if((f|0)==6?(f=0,(d|0)==(KA(d)|0)):0){g=d;f=7}if((f|0)==7?(0,(a[(c[g+16>>2]|0)+157>>0]|0)!=(a[173894]|0)):0){vl(b);wl(j,b,g);xl(b)}d=eo(b,d)|0}yl(j);l=k;return}function ul(a,b,d){a=a|0;b=b|0;d=d|0;c[b>>2]=d;c[b+4>>2]=d+512;c[b+12>>2]=0;c[b+8>>2]=0;c[a>>2]=b;c[a+4>>2]=b;c[a+8>>2]=d;return}function vl(a){a=a|0;c[(c[a+16>>2]|0)+192>>2]=0;c[41979]=0;return}function wl(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;q=l;l=l+32|0;p=q;zl(b,e);k=p+8|0;m=p+16|0;n=p+24|0;a:while(1){o=Al(b)|0;if(!o)break;e=o+16|0;if((a[(c[e>>2]|0)+157>>0]|0)==(a[173894]|0))continue;Bl(d,o);h=c[e>>2]|0;g=h+180|0;j=c[g+4>>2]|0;i=p;c[i>>2]=c[g>>2];c[i+4>>2]=j;i=h+172|0;j=c[i+4>>2]|0;g=k;c[g>>2]=c[i>>2];c[g+4>>2]=j;g=h+188|0;j=c[g+4>>2]|0;i=m;c[i>>2]=c[g>>2];c[i+4>>2]=j;h=h+196|0;i=c[h+4>>2]|0;j=n;c[j>>2]=c[h>>2];c[j+4>>2]=i;j=3;while(1){if((j|0)<=-1)continue a;e=c[p+(j<<3)>>2]|0;b:do if(e|0){i=(c[p+(j<<3)+4>>2]|0)+-1|0;h=e+(i<<2)|0;while(1){if((i|0)<=-1)break b;f=c[h>>2]|0;g=c[f>>2]&3;e=c[((g|0)==2?f:f+-48|0)+40>>2]|0;if((e|0)==(o|0))e=c[((g|0)==3?f:f+48|0)+40>>2]|0;if((a[(c[e+16>>2]|0)+157>>0]|0)!=(a[173894]|0)?(e|0)==(KA(e)|0):0)zl(b,e);h=h+-4|0;i=i+-1|0}}while(0);j=j+-1|0}}l=q;return}function xl(a){a=a|0;var b=0,d=0,e=0,f=0;d=a+16|0;b=c[d>>2]|0;f=b+220|0;e=c[f>>2]|0;a=e+1|0;c[f>>2]=a;b=c[b+216>>2]|0;if(!b)a=ww(a<<2)|0;else a=yw(b,a<<2)|0;f=c[d>>2]|0;c[f+216>>2]=a;c[a+(e<<2)>>2]=c[f+192>>2];return}function yl(a){a=a|0;var b=0;a=c[(c[a>>2]|0)+12>>2]|0;while(1){if(!a)break;b=c[a+12>>2]|0;_I(c[a>>2]|0);_I(a);a=b}return}function zl(b,e){b=b|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+16|0;h=k+8|0;g=k;j=b+8|0;f=c[j>>2]|0;i=b+4|0;b=c[i>>2]|0;if((f|0)==(c[b+4>>2]|0)){f=c[b+12>>2]|0;if(!f){f=vw(16)|0;if(!f)_l(1,83988,g)|0;c[f+8>>2]=c[i>>2];c[f+12>>2]=0;b=vw(4e6)|0;c[f>>2]=b;if(!b){_l(1,81224,h)|0;b=c[f>>2]|0}c[f+4>>2]=b+4e6;c[(c[i>>2]|0)+12>>2]=f}c[i>>2]=f;f=c[f>>2]|0;c[j>>2]=f}a[(c[e+16>>2]|0)+157>>0]=(d[173894]|0)+1;c[j>>2]=f+4;c[f>>2]=e;l=k;return}function Al(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;f=a+8|0;b=c[f>>2]|0;d=a+4|0;e=c[d>>2]|0;if((b|0)==(c[e>>2]|0))if((e|0)==(c[a>>2]|0))b=0;else{b=c[e+8>>2]|0;c[d>>2]=b;b=c[b+4>>2]|0;c[f>>2]=b;g=4}else g=4;if((g|0)==4){b=b+-4|0;c[f>>2]=b;b=c[b>>2]|0}return b|0}function Bl(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;f=c[b+16>>2]|0;g=f+232|0;c[g>>2]=(c[g>>2]|0)+1;g=c[d+16>>2]|0;a[g+157>>0]=a[173894]|0;b=c[41979]|0;e=g+168|0;if(!b){c[e>>2]=0;c[f+192>>2]=d}else{c[e>>2]=b;c[(c[b+16>>2]|0)+164>>2]=d}c[41979]=d;c[g+164>>2]=0;return}function Cl(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0.0,o=0.0;m=b+16|0;d=(c[m>>2]|0)+192|0;while(1){d=c[d>>2]|0;if(!d)break;g=d+16|0;d=c[g>>2]|0;e=c[d+188>>2]|0;a:do if(!e)f=0;else{f=0;while(1){e=c[e+(f<<2)>>2]|0;if(!e){f=0;break a}Dl(e);d=c[g>>2]|0;f=f+1|0;e=c[d+188>>2]|0}}while(0);while(1){if((f|0)>=(c[d+208>>2]|0))break;e=c[(c[d+204>>2]|0)+(f<<2)>>2]|0;l=c[e>>2]&3;if((c[(c[(c[((l|0)==2?e:e+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)==(c[(c[(c[((l|0)==3?e:e+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)){Dl(e);d=c[g>>2]|0}f=f+1|0}d=d+164|0}l=c[m>>2]|0;d=c[l+196>>2]|0;if(!((c[d+56>>2]|0)==0?(c[l+180>>2]|0)<=0:0))i=13;b:do if((i|0)==13){i=c[d+4>>2]|0;g=0;c:while(1){d=c[i+(g<<2)>>2]|0;if(!d)break b;e=c[(c[d+16>>2]|0)+196>>2]|0;d=0;while(1){f=c[e+(d<<2)>>2]|0;if(!f)break;l=c[f+16>>2]|0;if(c[l+96>>2]|0?(a[l+113>>0]|0)==0:0)break c;d=d+1|0}g=g+1|0}El(b)}while(0);ui(b);e=0;d=(c[m>>2]|0)+192|0;while(1){d=c[d>>2]|0;if(!d)break;l=d+16|0;d=c[l>>2]|0;f=c[d+188>>2]|0;d:do if(f){k=0;while(1){g=c[f+(k<<2)>>2]|0;if(!g){k=0;break}i=c[g+16>>2]|0;j=c[i+96>>2]|0;do if(j)if(!(a[i+113>>0]|0)){Fl(g);f=c[l>>2]|0;e=1;d=f;f=c[f+188>>2]|0;break}else{h[i+136>>3]=+h[((c[(c[m>>2]|0)+116>>2]&1|0)==0?j+24|0:j+32|0)>>3];break}while(0);k=k+1|0}while(1){if((k|0)>=(c[d+208>>2]|0))break d;i=c[(c[d+204>>2]|0)+(k<<2)>>2]|0;j=c[i>>2]&3;g=c[((j|0)==3?i:i+48|0)+40>>2]|0;j=c[((j|0)==2?i:i+-48|0)+40>>2]|0;do if(!((g|0)==(j|0)?1:(c[(c[g+16>>2]|0)+232>>2]|0)!=(c[(c[j+16>>2]|0)+232>>2]|0))){f=i;do{j=c[f+16>>2]|0;f=c[j+172>>2]|0}while((f|0)!=0);f=a[j+113>>0]|0;g=c[i+16>>2]|0;a[g+113>>0]=f;g=c[g+96>>2]|0;if(g)if(!(f<<24>>24)){Fl(i);e=1;d=c[l>>2]|0;break}else{o=+h[((c[(c[m>>2]|0)+116>>2]&1|0)==0?g+24|0:g+32|0)>>3];j=j+136|0;n=+h[j>>3];h[j>>3]=o>n?o:n;break}}while(0);k=k+1|0}}while(0);d=d+164|0}if(e|0){nh(b);Bh(b)}return e|0}function Dl(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;d=c[b>>2]&3;i=c[((d|0)==3?b:b+48|0)+40>>2]|0;f=i+16|0;g=c[(c[f>>2]|0)+236>>2]|0;d=c[(c[(c[((d|0)==2?b:b+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;h=(g|0)<(d|0);e=h?d:g;i=c[(c[(Vf(i)|0)+16>>2]|0)+196>>2]|0;f=i+(c[(c[f>>2]|0)+232>>2]<<6)+4|0;d=h?g:d;a:while(1){d=d+1|0;if((d|0)>=(e|0))break;g=c[(c[(c[f>>2]|0)+(d<<2)>>2]|0)+16>>2]|0;switch(a[g+156>>0]|0){case 0:break a;case 1:break;default:continue a}if(c[g+104>>2]|0)break}if((d|0)==(e|0))do{i=c[b+16>>2]|0;a[i+113>>0]=1;b=c[i+172>>2]|0}while((b|0)!=0);return}function El(a){a=a|0;var d=0,e=0,f=0,g=0;g=a+16|0;a=c[g>>2]|0;if(b[a+236>>1]|0)ma(81281,81264,190,81300);d=(b[a+238>>1]|0)+3|0;a=c[a+196>>2]|0;if(!a)a=ww(d<<6)|0;else a=yw(a,d<<6)|0;d=a+64|0;a=c[g>>2]|0;c[a+196>>2]=d;a=b[a+238>>1]|0;while(1){if((a|0)<=-1)break;f=a+-1|0;e=d+(a<<6)|0;a=d+(f<<6)|0;d=e+64|0;do{c[e>>2]=c[a>>2];e=e+4|0;a=a+4|0}while((e|0)<(d|0));a=f;d=c[(c[g>>2]|0)+196>>2]|0}c[d+(a<<6)+8>>2]=0;c[d+(a<<6)>>2]=0;e=vw(8)|0;g=c[g>>2]|0;f=c[g+196>>2]|0;c[f+(a<<6)+12>>2]=e;c[f+(a<<6)+4>>2]=e;c[f+(a<<6)+56>>2]=0;h[f+(a<<6)+24>>3]=1.0;h[f+(a<<6)+16>>3]=1.0;h[f+(a<<6)+40>>3]=1.0;h[f+(a<<6)+32>>3]=1.0;g=g+236|0;b[g>>1]=(b[g>>1]|0)+-1<<16>>16;return}function Fl(b){b=b|0;var d=0,e=0,f=0.0,g=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0.0,q=0.0,r=0.0;j=b+16|0;if(c[(c[j>>2]|0)+96>>2]|0){m=b+48|0;k=Vf(c[((c[b>>2]&3|0)==3?b:m)+40>>2]|0)|0;d=c[(c[(c[((c[b>>2]&3|0)==3?b:m)+40>>2]|0)+16>>2]|0)+232>>2]|0;l=Gl(k,b)|0;n=k+16|0;e=c[n>>2]|0;g=c[e+196>>2]|0;o=d+-1|0;i=c[c[g+(o<<6)+4>>2]>>2]|0;if(!i)f=+h[g+(d<<6)+24>>3]+ +h[(c[(c[c[g+(d<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]+ +(c[e+252>>2]|0);else f=+h[(c[i+16>>2]|0)+24>>3]-+h[g+(o<<6)+16>>3];d=Hl(k,o,l)|0;k=c[(c[j>>2]|0)+96>>2]|0;q=+h[k+24>>3];p=+h[k+32>>3];j=(c[(c[n>>2]|0)+116>>2]&1|0)==0;r=j?p:q;g=d+16|0;e=c[g>>2]|0;h[e+80>>3]=r;l=~~(r*.5);p=(j?q:p)*.5;h[e+96>>3]=p;h[e+88>>3]=p;c[e+104>>2]=k;h[e+24>>3]=+(l+~~f|0);e=ah(d,c[((c[b>>2]&3|0)==3?b:m)+40>>2]|0,b)|0;e=c[e+16>>2]|0;h[e+16>>3]=-+h[(c[g>>2]|0)+88>>3];h[e+56>>3]=+h[(c[(c[((c[b>>2]&3|0)==3?b:m)+40>>2]|0)+16>>2]|0)+96>>3];a[e+112>>0]=4;e=b+-48|0;d=ah(d,c[((c[b>>2]&3|0)==2?b:e)+40>>2]|0,b)|0;g=c[g>>2]|0;d=c[d+16>>2]|0;h[d+16>>3]=+h[g+96>>3];h[d+56>>3]=+h[(c[(c[((c[b>>2]&3|0)==2?b:e)+40>>2]|0)+16>>2]|0)+88>>3];a[d+112>>0]=4;d=c[(c[n>>2]|0)+196>>2]|0;e=d+(o<<6)+16|0;f=+(l|0);if(+h[e>>3]<f)h[e>>3]=f;d=d+(o<<6)+24|0;if(+h[d>>3]<f)h[d>>3]=f;c[g+112>>2]=b}return}function Gl(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+32|0;j=n+8|0;f=n+4|0;g=n;d=c[b>>2]&3;e=c[((d|0)==3?b:b+48|0)+40>>2]|0;k=(c[(c[e+16>>2]|0)+232>>2]|0)+-1|0;a=c[(c[a+16>>2]|0)+196>>2]|0;h=c[a+(k<<6)+4>>2]|0;a=c[a+(k<<6)>>2]|0;k=j+8|0;c[k>>2]=-1;c[j>>2]=-1;m=j+12|0;c[m>>2]=a;i=j+4|0;c[i>>2]=a;Il(e,c[((d|0)==2?b:b+-48|0)+40>>2]|0,f,g);f=c[f>>2]|0;g=c[g>>2]|0;d=0;e=a;b=-1;while(1){if((d|0)>=(e|0))break;e=e+-1|0;Jl(c[h+(d<<2)>>2]|0,j,f,g);if((d|0)!=(e|0))Jl(c[h+(e<<2)>>2]|0,j,f,g);a=c[i>>2]|0;b=c[j>>2]|0;if((a-b|0)<2)break;else d=d+1|0}if((b|0)>(a|0))a=(c[m>>2]|0)+(c[k>>2]|0)|0;else a=a+b|0;l=n;return (a+1|0)/2|0|0}function Hl(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;g=a+16|0;f=c[(c[g>>2]|0)+196>>2]|0;e=f+(b<<6)|0;f=c[f+(b<<6)+4>>2]|0;if(!f)f=ww((c[e>>2]<<2)+8|0)|0;else f=yw(f,(c[e>>2]<<2)+8|0)|0;e=c[(c[g>>2]|0)+196>>2]|0;c[e+(b<<6)+4>>2]=f;e=c[e+(b<<6)>>2]|0;while(1){if((e|0)<=(d|0))break;h=e+-1|0;i=c[f+(h<<2)>>2]|0;c[f+(e<<2)>>2]=i;i=(c[i+16>>2]|0)+236|0;c[i>>2]=(c[i>>2]|0)+1;e=h}h=fh(a)|0;i=f+(d<<2)|0;c[i>>2]=h;h=c[h+16>>2]|0;c[h+236>>2]=d;c[h+232>>2]=b;g=(c[(c[g>>2]|0)+196>>2]|0)+(b<<6)|0;h=(c[g>>2]|0)+1|0;c[g>>2]=h;c[f+(h<<2)>>2]=0;return c[i>>2]|0}function Il(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;a=c[(c[a+16>>2]|0)+236>>2]|0;b=c[(c[b+16>>2]|0)+236>>2]|0;f=(a|0)>(b|0);c[d>>2]=f?b:a;c[e>>2]=f?a:b;return}function Jl(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0;m=l;l=l+16|0;h=m+4|0;g=m;b=c[b+16>>2]|0;do if((a[b+156>>0]|0)==1){k=c[b+236>>2]|0;if(c[b+176>>2]|0){i=c[b+180>>2]|0;b=0;g=0;h=0;while(1){j=c[i+(h<<2)>>2]|0;if(!j)break;n=c[(c[(c[((c[j>>2]&3|0)==2?j:j+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;j=(n|0)>(e|0);b=j?((n|0)<(f|0)?b:1):b;g=j?g:1;h=h+1|0}if(g<<24>>24!=0&b<<24>>24==0){c[d>>2]=k+1;break}if(!(g<<24>>24==0&b<<24>>24!=0))break;c[d+4>>2]=k+-1;break}if((c[b+184>>2]|0)!=2)ma(81244,81264,63,81271);i=c[b+180>>2]|0;n=c[i>>2]|0;i=c[i+4>>2]|0;Il(c[((c[n>>2]&3|0)==2?n:n+-48|0)+40>>2]|0,c[((c[i>>2]&3|0)==2?i:i+-48|0)+40>>2]|0,h,g);i=c[g>>2]|0;if((i|0)<=(e|0)){c[d>>2]=k;c[d+8>>2]=k;break}b=c[h>>2]|0;if((b|0)>=(f|0)){c[d+4>>2]=k;c[d+12>>2]=k;break}g=(b|0)<(e|0);h=(i|0)>(f|0);if(!(h&g)){if(!(!g?!((i|0)<(f|0)&(b|0)==(e|0)):0))c[d+8>>2]=k;if(!h?!((i|0)==(f|0)&(b|0)>(e|0)):0)break;c[d+12>>2]=k}}while(0);l=m;return}function Kl(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;do if((a|0)!=0?(c[a+24>>2]|0)<=0:0){h=c[a+4>>2]|0;g=h+32|0;b=c[g>>2]|0;if(b){b=cb[b&31](a,2,0,h)|0;if((b|0)<0){b=-1;break}}else b=0;if(c[a+28>>2]|0)Wl(a,0)|0;f=(b|0)==0;if(f){bb[c[c[a+16>>2]>>2]&31](a,0,64)|0;if((Sl(a)|0)>0){b=-1;break}d=a+8|0;b=c[d>>2]|0;if((c[b+12>>2]|0)>0){e=a+12|0;cb[c[e>>2]&31](a,c[b+8>>2]|0,0,h)|0;b=c[d>>2]|0}else e=a+12|0;cb[c[e>>2]&31](a,b,0,h)|0}b=c[a+20>>2]|0;if(b){if(f&(b|0)==1)cb[c[a+12>>2]&31](a,a,0,h)|0}else _I(a);b=c[g>>2]|0;if(!b)b=0;else{cb[b&31](a,6,0,h)|0;b=0}}else b=-1;while(0);return b|0}function Ll(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0;f=a+4|0;n=c[f>>2]|0;a:do if(n)if(b){m=c[c[a+16>>2]>>2]|0;g=a+8|0;if(c[c[g>>2]>>2]&4096|0)Rl(a,0)|0;e=c[n+32>>2]|0;if(e|0?(cb[e&31](a,3,b,n)|0)<0:0){b=0;break}c[f>>2]=b;e=c[b+28>>2]|0;c[a+12>>2]=(e|0)==0?19:e;e=c[c[g>>2]>>2]|0;if(!(e&112)){do if(!(e&2))if(!(e&3))if(!(d&1))break;else{b=n;break a}else if((d&3|0)==3){b=n;break a}else break;else if(d&2|0){b=n;break a}while(0);h=Ol(a)|0;e=c[g>>2]|0;l=c[e>>2]|0;c[e>>2]=l&-4097;c[e+4>>2]=0;c[e+16>>2]=0;b:do if(l&3|0){l=c[e+8>>2]|0;f=l+(c[e+12>>2]<<2)|0;e=l;while(1){if(e>>>0>=f>>>0)break b;c[e>>2]=0;e=e+4|0}}while(0);i=(d&2|0)==0;j=b+8|0;k=b+4|0;l=b+24|0;while(1){if(!h){b=n;break a}d=c[h>>2]|0;if(i){e=c[j>>2]|0;if((e|0)<0)e=c[h+8>>2]|0;else e=h+(0-e)|0;g=c[k>>2]|0;e=e+(c[b>>2]|0)|0;if((g|0)<0)e=c[e>>2]|0;f=c[l>>2]|0;if(!f)e=Ul(0,e,g)|0;else e=bb[f&31](a,e,b)|0;c[h+4>>2]=e}bb[m&31](a,h,32)|0;h=d}}else b=n}else b=n;else{c[f>>2]=b;n=c[b+28>>2]|0;c[a+12>>2]=(n|0)==0?19:n}while(0);return b|0}function Ml(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;a=(c|0)==0;do if(!b)if(a)a=0;else a=ZI(c)|0;else if(a){_I(b);a=0;break}else{a=aJ(b,c)|0;break}while(0);return a|0}function Nl(a){a=a|0;var b=0,d=0,e=0;e=a+8|0;b=c[e>>2]|0;d=c[b>>2]|0;a:do if(!(d&12)){if(!(d&3)){d=b+8|0;a=c[d>>2]|0;c[d>>2]=0;break}a=Ol(a)|0;d=c[e>>2]|0;b=c[d+8>>2]|0;d=b+(c[d+12>>2]<<2)|0;while(1){if(b>>>0>=d>>>0)break a;c[b>>2]=0;b=b+4|0}}else a=c[b+4>>2]|0;while(0);e=c[e>>2]|0;c[e>>2]=c[e>>2]&-4097;c[e+16>>2]=0;c[e+4>>2]=0;return a|0}function Ol(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;g=a+8|0;a=c[g>>2]|0;b=c[a>>2]|0;if(!(b&4096)){a:do if(!(b&3)){if(b&112|0){a=c[a+8>>2]|0;break}a=c[a+4>>2]|0;if(!a)a=0;else{while(1){b=a+4|0;d=c[b>>2]|0;if(!d){e=a;break}c[b>>2]=c[d>>2];c[d>>2]=a;a=d}while(1){b=c[e>>2]|0;if(!b)break a;d=c[b+4>>2]|0;if(!d){e=b;continue}while(1){c[b+4>>2]=c[d>>2];c[d>>2]=b;b=c[d+4>>2]|0;if(!b)break;else{f=d;d=b;b=f}}c[e>>2]=d;e=d}}}else{e=c[a+8>>2]|0;f=e+(c[a+12>>2]<<2)|0;b=0;a=0;while(1){if(e>>>0>=f>>>0)break a;d=c[e>>2]|0;if(d){if(!b){b=d;a=d}else c[b>>2]=d;while(1){d=c[b>>2]|0;if(!d)break;else b=d}c[e>>2]=b}e=e+4|0}}while(0);g=c[g>>2]|0;c[g+4>>2]=a;c[g>>2]=c[g>>2]|4096}else a=c[a+4>>2]|0;return a|0}function Pl(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0;s=a+8|0;if(c[c[s>>2]>>2]&4096|0)Rl(a,0)|0;r=c[a+4>>2]|0;m=c[r>>2]|0;n=c[r+4>>2]|0;q=r+8|0;u=c[q>>2]|0;o=c[r+20>>2]|0;p=a+20|0;f=c[p>>2]&-32769;c[p>>2]=f;a:do if(!b){if(d&384|0){f=c[s>>2]|0;e=c[f+8>>2]|0;if(!e){e=0;break}if(d&256){e=c[e+4>>2]|0;c[f+4>>2]=e;if(!e){e=0;break}}else c[f+4>>2]=e;if((u|0)<0){e=c[e+8>>2]|0;break}else{e=e+(0-u)|0;break}}if(d&4098|0){e=c[s>>2]|0;if(c[e>>2]&144|0){e=0;break}e=c[e+8>>2]|0;if(!e){e=0;break}else{h=e;t=84;break}}if(!(d&64))e=0;else{i=r+16|0;b:do if((c[i>>2]|0)!=0|(u|0)<0){j=a+12|0;k=(u|0)<0;f=0-u|0;e=c[(c[s>>2]|0)+8>>2]|0;while(1){if(!e)break b;g=c[e>>2]|0;h=c[i>>2]|0;if(h|0){if(k)b=c[e+8>>2]|0;else b=e+f|0;ib[h&127](a,b,r)}if((c[q>>2]|0)>=0){e=g;continue}cb[c[j>>2]&31](a,e,0,r)|0;e=g}}while(0);e=c[s>>2]|0;c[e+4>>2]=0;c[e+8>>2]=0;c[(c[s>>2]|0)+16>>2]=0;e=0}}else{if(d&2049|0){g=r+12|0;e=c[g>>2]|0;h=(d&1|0)==0;if(!(h|(e|0)==0)){e=bb[e&31](a,b,r)|0;if(!e){e=0;break}else f=e}else f=b;do if((u|0)>-1)h=f+u|0;else{e=cb[c[a+12>>2]&31](a,0,12,r)|0;if(e|0){c[e+8>>2]=f;h=e;break}if(!(c[g>>2]|0)){e=0;break a}e=c[r+16>>2]|0;if(h|(e|0)==0){e=0;break a}ib[e&127](a,f,r);e=0;break a}while(0);g=c[s>>2]|0;e=c[g>>2]|0;do if(!(e&128)){if(!(e&16))if(!(e&32)){t=51;break}else{t=48;break}f=c[g+4>>2]|0;e=(f|0)!=0;if(!(d&8192)){if(!e){t=48;break}if((f|0)==(c[g+8>>2]|0)){t=48;break}r=f+4|0;a=c[r>>2]|0;c[h+4>>2]=a;c[a>>2]=h;c[h>>2]=f;c[r>>2]=h;break}else{if(!e){t=51;break}e=c[f>>2]|0;if(!e){t=51;break}c[h>>2]=e;c[e+4>>2]=h;c[h+4>>2]=f;c[f>>2]=h;break}}else if(!(d&8192))t=48;else t=51;while(0);if((t|0)==48){e=c[g+8>>2]|0;c[h>>2]=e;if(!e)e=h;else c[h+4>>2]=c[e+4>>2];c[e+4>>2]=h;c[(c[s>>2]|0)+8>>2]=h}else if((t|0)==51){f=g+8|0;e=c[f>>2]|0;if(!e){c[f>>2]=h;e=h}else{r=e+4|0;c[c[r>>2]>>2]=h;c[h+4>>2]=c[r>>2]}c[e+4>>2]=h;c[h>>2]=0}e=c[s>>2]|0;f=e+16|0;g=c[f>>2]|0;if((g|0)>-1)c[f>>2]=g+1;c[e+4>>2]=h;if((u|0)<0){e=c[h+8>>2]|0;break}else{e=h+(0-u)|0;break}}h=c[s>>2]|0;do if(!(d&512)){e=c[h+4>>2]|0;if(e|0){if((u|0)<0)g=c[e+8>>2]|0;else g=e+(0-u)|0;if((g|0)==(b|0))break}e=b+m|0;if((n|0)<0){b=c[e>>2]|0;t=68}else{b=e;t=68}}else t=68;while(0);if((t|0)==68){g=(u|0)<0;i=(n|0)<0;j=(o|0)==0;k=(n|0)<1;l=0-u|0;e=h+8|0;do{e=c[e>>2]|0;if(!e){e=0;break a}if(g)f=c[e+8>>2]|0;else f=e+l|0;f=f+m|0;if(i)f=c[f>>2]|0;do if(j)if(k){f=xJ(b,f)|0;break}else{f=dL(b,f,n)|0;break}else f=cb[o&31](a,b,f,r)|0;while(0)}while((f|0)!=0);f=c[p>>2]|0}c[p>>2]=f|32768;if(!(d&4098)){do if(!(d&8)){f=c[s>>2]|0;if(!(d&16)){c[f+4>>2]=e;break}if((e|0)==(c[f+8>>2]|0)){c[f+4>>2]=0;e=0;break a}else{e=e+4|0;t=108;break}}else{f=c[s>>2]|0;t=108}while(0);if((t|0)==108){e=c[e>>2]|0;c[f+4>>2]=e;if(!e){e=0;break}}if((u|0)<0){e=c[e+8>>2]|0;break}else{e=e+(0-u)|0;break}}else{h=e;t=84}}while(0);if((t|0)==84){e=c[h>>2]|0;if(e){c[e+4>>2]=c[h+4>>2];e=c[h>>2]|0}f=(c[s>>2]|0)+8|0;g=c[f>>2]|0;if((h|0)==(g|0)){c[f>>2]=e;e=c[(c[s>>2]|0)+8>>2]|0;if(e|0)c[e+4>>2]=c[h+4>>2]}else{f=h+4|0;c[c[f>>2]>>2]=e;e=g+4|0;if((h|0)==(c[e>>2]|0))c[e>>2]=c[f>>2]}e=c[s>>2]|0;f=e+4|0;if((h|0)==(c[f>>2]|0))g=c[h>>2]|0;else g=0;c[f>>2]=g;t=e+16|0;c[t>>2]=(c[t>>2]|0)+-1;if((u|0)<0)e=c[h+8>>2]|0;else e=h+(0-u)|0;f=c[r+16>>2]|0;if(!((d&2|0)==0|(f|0)==0))ib[f&127](a,e,r);if((c[q>>2]|0)<0)cb[c[a+12>>2]&31](a,h,0,r)|0}return e|0}function Ql(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0;j=l;l=l+16|0;g=j;a:do if((a|0)!=0&(b|0)!=0?(f=ZI(40)|0,(f|0)!=0):0){c[f>>2]=0;c[f+16>>2]=0;c[f+4>>2]=0;Ll(f,a,0)|0;d=f+20|0;i=a+32|0;c[d>>2]=0;c[d+4>>2]=0;c[d+8>>2]=0;c[d+12>>2]=0;c[d+16>>2]=0;d=c[i>>2]|0;do if(d){c[g>>2]=0;d=cb[d&31](f,1,g,a)|0;if((d|0)>=0)if(d){e=c[g>>2]|0;if(e|0)if(!(c[b+4>>2]&c[e>>2])){d=f;h=12;break}else{d=f;break}d=a+28|0;if(!(c[d>>2]|0)){d=f;h=12}else{_I(f);e=cb[c[d>>2]&31](0,0,40,a)|0;if(!e){d=0;break a}c[e>>2]=0;c[e+16>>2]=0;c[e+4>>2]=0;Ll(e,a,0)|0;c[e+20>>2]=1;c[e+24>>2]=0;c[e+32>>2]=0;c[e+28>>2]=0;d=e;f=e;h=11}}else{d=f;h=11}else{d=f;h=12}}else{d=f;h=11}while(0);if((h|0)==11){e=cb[c[d+12>>2]&31](d,0,28,a)|0;c[g>>2]=e;if(!e){d=f;h=12}else{c[e>>2]=c[b+4>>2];g=e+4|0;c[g>>2]=0;c[g+4>>2]=0;c[g+8>>2]=0;c[g+12>>2]=0;c[g+16>>2]=0;c[g+20>>2]=0}}if((h|0)==12){_I(d);d=0;break}c[d+8>>2]=e;c[d>>2]=c[b>>2];c[d+16>>2]=b;e=c[i>>2]|0;if(e)cb[e&31](d,5,f,a)|0}else d=0;while(0);l=j;return d|0}function Rl(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0;f=c[c[a+16>>2]>>2]|0;j=a+8|0;g=c[j>>2]|0;h=c[g>>2]|0;d=h&4096;if(!b)if(!d)b=-1;else{e=d;b=c[g+4>>2]|0;i=5}else if(!(c[g+16>>2]|0)){e=0;i=5}else b=-1;a:do if((i|0)==5){c[g>>2]=h&-4097;if(!(h&3)){d=g+4|0;if(!(h&12)){c[d>>2]=0;d=g+8|0}c[d>>2]=b;if(e|0){b=0;break}c[(c[j>>2]|0)+16>>2]=-1;b=0;break}c[g+4>>2]=0;if(!e){c[g+16>>2]=0;while(1){if(!b){b=0;break a}j=c[b>>2]|0;bb[f&31](a,b,32)|0;b=j}}e=c[g+8>>2]|0;a=e+(c[g+12>>2]<<2)|0;while(1){if(e>>>0>=a>>>0){b=0;break a}d=c[e>>2]|0;if(d){c[e>>2]=b;b=c[d>>2]|0;c[d>>2]=0}e=e+4|0}}while(0);return b|0}function Sl(a){a=a|0;var b=0,d=0,e=0;b=a+8|0;d=c[b>>2]|0;if(c[d>>2]&4096){Rl(a,0)|0;d=c[b>>2]|0}e=d+16|0;a=c[e>>2]|0;do if((a|0)<0){b=c[d>>2]|0;if(b&12|0){a=Tl(c[d+4>>2]|0)|0;c[e>>2]=a;break}if(b&112){a=0;b=d+8|0;while(1){b=c[b>>2]|0;if(!b)break;a=a+1|0}c[e>>2]=a}}while(0);return a|0}function Tl(a){a=a|0;var b=0;if(!a)return 0;else{b=Tl(c[a+4>>2]|0)|0;return b+1+(Tl(c[a>>2]|0)|0)|0}return 0}function Ul(b,c,e){b=b|0;c=c|0;e=e|0;var f=0,g=0,h=0;g=c;if((e|0)>=1){h=c+e+-1|0;g=(h>>>0<c>>>0?c:h)+(1-g)&-2;f=c;while(1){if(f>>>0>=h>>>0)break;b=O(((d[f>>0]|0)<<8)+b+(d[f+1>>0]|0)|0,17109811)|0;f=f+2|0}f=c+g|0;if(f>>>0>h>>>0)c=e;else{c=e;b=O(((d[f>>0]|0)<<8)+b|0,17109811)|0}}else{while(1){f=a[c>>0]|0;if(!(f<<24>>24))break;h=a[c+1>>0]|0;e=O(((f&255)<<8)+b+(h&255)|0,17109811)|0;b=e;c=c+(h<<24>>24?2:1)|0}c=c-g|0}return O(b+c|0,17109811)|0}function Vl(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0;G=l;l=l+128|0;z=G+120|0;r=G;F=a+8|0;e=c[F>>2]|0;if(c[e>>2]&4096){Rl(a,0)|0;e=c[F>>2]|0}E=c[a+4>>2]|0;A=c[E>>2]|0;B=c[E+4>>2]|0;x=E+8|0;D=c[x>>2]|0;C=c[E+20>>2]|0;t=a+20|0;c[t>>2]=c[t>>2]&-32769;h=c[e+4>>2]|0;a:do if(!b)if((d&448|0)==0|(h|0)==0)e=0;else{if(!(d&64)){b:do if(!(d&256)){e=h;while(1){f=e+4|0;g=c[f>>2]|0;if(!g)break b;c[f>>2]=c[g>>2];c[g>>2]=e;e=g}}else{e=h;while(1){f=c[e>>2]|0;if(!f)break b;a=f+4|0;c[e>>2]=c[a>>2];c[a>>2]=e;e=f}}while(0);c[(c[F>>2]|0)+4>>2]=e;if((D|0)<0){e=c[e+8>>2]|0;break}else{e=e+(0-D)|0;break}}b=E+16|0;if((c[b>>2]|0)!=0|(D|0)<0){j=a+12|0;k=(D|0)<0;i=0-D|0;e=h;do{h=e;while(1){e=h+4|0;f=c[e>>2]|0;if(!f)break;c[e>>2]=c[f>>2];c[f>>2]=h;h=f}e=c[h>>2]|0;f=c[b>>2]|0;if(f|0){if(k)g=c[h+8>>2]|0;else g=h+i|0;ib[f&127](a,g,E)}if((c[x>>2]|0)<0)cb[c[j>>2]&31](a,h,0,E)|0}while((e|0)!=0);e=c[F>>2]|0}c[e+16>>2]=0;c[e+4>>2]=0;e=0}else{y=a+16|0;u=(d&4098|0)==0;c:do if(u|(c[(c[y>>2]|0)+4>>2]|0)!=8)v=45;else{k=(B|0)<0;e=b+A|0;if(k)e=c[e>>2]|0;i=(C|0)==0;j=(B|0)<1;g=bb[c[a>>2]&31](a,b,4)|0;while(1){if(!g){v=45;break c}f=g+A|0;if(k)f=c[f>>2]|0;do if(i)if(j){f=xJ(e,f)|0;break}else{f=dL(e,f,B)|0;break}else f=cb[C&31](a,e,f,E)|0;while(0);if(f|0){v=45;break c}if((g|0)==(b|0))break;g=bb[c[a>>2]&31](a,g,8)|0}h=c[(c[F>>2]|0)+4>>2]|0;c[z>>2]=c[h+4>>2];c[z+4>>2]=c[h>>2];e=z;v=180}while(0);d:do if((v|0)==45){do if(!(d&2565)){if(d&32|0){if((D|0)<0)g=c[b+8>>2]|0;else g=b+(0-D)|0;e=g+A|0;if((B|0)<0)f=c[e>>2]|0;else f=e;if(!h){e=b;f=z;h=z;v=198;break}else{e=b;s=f;j=b;v=64;break}}if(h){if((D|0)<0)e=c[h+8>>2]|0;else e=h+(0-D)|0;if((e|0)!=(b|0)){f=b+A|0;if((B|0)<0){g=b;e=0;s=c[f>>2]|0;j=0;v=64}else{g=b;e=0;s=f;j=0;v=64}}else{e=0;g=b;f=z;k=z;j=0;v=141}}else{e=0;g=b;f=z;h=z;v=198}}else{if(!(d&512)){e=b+A|0;if((B|0)<0)f=c[e>>2]|0;else f=e}else f=b;if(!h){e=0;g=b;f=z;h=z;v=198}else{g=b;e=0;s=f;j=0;v=64}}while(0);e:do if((v|0)==64){f:do if((c[(c[y>>2]|0)+4>>2]|0)==4?(q=c[(c[F>>2]|0)+24>>2]|0,!((d&516|0)==0|(q|0)==0)):0){b=(D|0)<0;m=(B|0)<0;n=(C|0)==0;o=(B|0)<1;p=0-D|0;k=0;f=h;while(1){if((k|0)>=(q|0)){f=z;k=z;m=0;break}if(b)i=c[f+8>>2]|0;else i=f+p|0;i=i+A|0;if(m)i=c[i>>2]|0;do if(n)if(o){i=xJ(s,i)|0;break}else{i=dL(s,i,B)|0;break}else i=cb[C&31](a,s,i,E)|0;while(0);if(!i){v=80;break}c[r+(k<<2)>>2]=i;f=c[((i|0)<0?f+4|0:f)>>2]|0;if(!f){e=0;break a}else k=k+1|0}if((v|0)==80)if(b){e=c[f+8>>2]|0;break a}else{e=f+p|0;break a}while(1){if((m|0)>=(q|0))break f;do if((c[r+(m<<2)>>2]|0)<0){i=h+4|0;b=c[i>>2]|0;if((c[r+((m|1)<<2)>>2]|0)<0){c[i>>2]=c[b>>2];c[b>>2]=h;c[f+4>>2]=b;f=b;h=k;i=b+4|0;break}else{c[k>>2]=b;c[f+4>>2]=h;f=h;h=b;i=b;break}}else{i=c[h>>2]|0;if((c[r+((m|1)<<2)>>2]|0)>0){p=i+4|0;c[h>>2]=c[p>>2];c[p>>2]=h;c[k>>2]=i;h=i;break}else{c[f+4>>2]=i;c[k>>2]=h;f=i;i=i+4|0;break}}while(0);k=h;m=m+2|0;h=c[i>>2]|0}}else{f=z;k=z}while(0);n=(D|0)<0;o=(B|0)<0;p=(C|0)!=0;q=(B|0)<1;r=0-D|0;i=h;g:while(1){h=i;while(1){if(n)i=c[h+8>>2]|0;else i=h+r|0;i=i+A|0;if(o)i=c[i>>2]|0;do if(!p)if(q){i=xJ(s,i)|0;break}else{i=dL(s,i,B)|0;break}else i=cb[C&31](a,s,i,E)|0;while(0);if(!i){v=140;break g}if((i|0)>=0)break;b=h+4|0;m=c[b>>2]|0;if(!m){v=121;break g}if(n)i=c[m+8>>2]|0;else i=m+r|0;i=i+A|0;if(o)i=c[i>>2]|0;do if(!p)if(q){i=xJ(s,i)|0;break}else{i=dL(s,i,B)|0;break}else i=cb[C&31](a,s,i,E)|0;while(0);if((i|0)>=0){v=118;break}c[b>>2]=c[m>>2];c[m>>2]=h;c[f+4>>2]=m;h=c[m+4>>2]|0;if(!h){f=m;h=k;v=198;break e}else f=m}if((v|0)==118){v=0;if(!i){v=119;break}c[k>>2]=m;c[f+4>>2]=h;i=c[m>>2]|0;if(!i){f=h;h=m;v=198;break e}else{f=h;k=m;continue}}b=c[h>>2]|0;if(!b){v=139;break}if(n)i=c[b+8>>2]|0;else i=b+r|0;i=i+A|0;if(o)i=c[i>>2]|0;do if(!p)if(q){i=xJ(s,i)|0;break}else{i=dL(s,i,B)|0;break}else i=cb[C&31](a,s,i,E)|0;while(0);if((i|0)>0){i=b+4|0;c[h>>2]=c[i>>2];c[i>>2]=h;c[k>>2]=b;i=c[b>>2]|0;if(!i){h=b;v=198;break e}else{k=b;continue}}if(!i){v=137;break}c[f+4>>2]=b;c[k>>2]=h;i=c[b+4>>2]|0;if(!i){f=b;v=198;break e}else{f=b;k=h}}if((v|0)==119){c[f+4>>2]=h;f=h;h=m;v=141;break}else if((v|0)==121){c[f+4>>2]=h;f=h;h=k;v=198;break}else if((v|0)==137){c[k>>2]=h;k=h;h=b;v=141;break}else if((v|0)==139){c[k>>2]=h;v=198;break}else if((v|0)==140)if(!h){h=k;v=198;break}else{v=141;break}}while(0);do if((v|0)==141){c[t>>2]=c[t>>2]|32768;i=h+4|0;c[k>>2]=c[i>>2];c[f+4>>2]=c[h>>2];if(!(d&516)){if(d&8|0){c[i>>2]=c[z>>2];c[h>>2]=0;c[z>>2]=h;v=169;break}if(d&16|0){v=z+4|0;c[h>>2]=c[v>>2];c[i>>2]=0;c[v>>2]=h;v=175;break}if(!u){e=f;v=180;break d}if(d&2049|0){if(c[(c[y>>2]|0)+4>>2]&4|0){e=h;break}c[i>>2]=0;e=z+4|0;c[h>>2]=c[e>>2];c[e>>2]=h;e=h;v=205;break}if(!(d&32)){e=0;break a}if(!(c[(c[y>>2]|0)+4>>2]&4)){c[e+4>>2]=0;x=z+4|0;c[e>>2]=c[x>>2];c[x>>2]=j;e=(c[F>>2]|0)+16|0;c[e>>2]=(c[e>>2]|0)+1;e=h;break}e=c[E+16>>2]|0;if(e|0)ib[e&127](a,g,E);if((c[x>>2]|0)<0){cb[c[a+12>>2]&31](a,j,0,E)|0;e=h}else e=h}else e=h}else if((v|0)==198){c[f+4>>2]=0;c[h>>2]=0;if(!(d&8))if(!(d&16)){if(d&516|0){e=f;break d}if(!(d&2049)){if(!(d&32)){g=0;e=f;break d}x=(c[F>>2]|0)+16|0;c[x>>2]=(c[x>>2]|0)+1}else{e=0;v=205}}else v=175;else v=169}while(0);if((v|0)==169){h=z+4|0;e=c[h>>2]|0;if(!e){e=f;break}while(1){f=e+4|0;g=c[f>>2]|0;if(!g)break;c[f>>2]=c[g>>2];c[g>>2]=e;e=g}c[h>>2]=c[e>>2]}else if((v|0)==175){e=c[z>>2]|0;if(!e){e=f;break}while(1){f=c[e>>2]|0;if(!f)break;x=f+4|0;c[e>>2]=c[x>>2];c[x>>2]=e;e=f}c[z>>2]=c[e+4>>2]}else if((v|0)==205){i=E+12|0;h=c[i>>2]|0;j=(d&1|0)==0;if(!(j|(h|0)==0))g=bb[h&31](a,g,E)|0;do if(g){if((D|0)>-1){e=g+D|0;v=215;break}e=cb[c[a+12>>2]&31](a,0,12,E)|0;if(e|0){c[e+8>>2]=g;break}if((c[i>>2]|0)!=0?(w=c[E+16>>2]|0,!(j|(w|0)==0)):0){ib[w&127](a,g,E);v=215}else v=215}else v=215;while(0);if((v|0)==215)if(!e){e=f;break}f=(c[F>>2]|0)+16|0;g=c[f>>2]|0;if((g|0)>-1)c[f>>2]=g+1}c[e+4>>2]=c[z>>2];c[e>>2]=c[z+4>>2];h:do if(!((d&516|0)==0?1:(c[(c[y>>2]|0)+4>>2]&8|0)==0)){m=(D|0)<0;if(m)f=c[e+8>>2]|0;else f=e+(0-D)|0;n=(B|0)<0;f=f+A|0;if(n)f=c[f>>2]|0;j=(C|0)==0;k=(B|0)<1;b=0-D|0;while(1){i=e+4|0;g=c[i>>2]|0;if(!g)break h;while(1){h=c[g>>2]|0;if(!h)break;z=h+4|0;c[g>>2]=c[z>>2];c[z>>2]=g;g=h}c[i>>2]=g;if(m)h=c[g+8>>2]|0;else h=g+b|0;h=h+A|0;if(n)h=c[h>>2]|0;do if(j)if(k){h=xJ(f,h)|0;break}else{h=dL(f,h,B)|0;break}else h=cb[C&31](a,f,h,E)|0;while(0);if(h|0)break h;c[i>>2]=c[g>>2];c[g>>2]=e;e=g}}while(0);c[(c[F>>2]|0)+4>>2]=e;if((D|0)<0){e=c[e+8>>2]|0;break a}else{e=e+(0-D)|0;break a}}while(0);if((v|0)==180){if((D|0)<0)g=c[h+8>>2]|0;else g=h+(0-D)|0;f=c[E+16>>2]|0;if(!((d&2|0)==0|(f|0)==0))ib[f&127](a,g,E);if((c[x>>2]|0)<0)cb[c[a+12>>2]&31](a,h,0,E)|0;a=(c[F>>2]|0)+16|0;E=c[a>>2]|0;c[a>>2]=(E|0)<1?-1:E+-1|0}do{f=e+4|0;e=c[f>>2]|0}while((e|0)!=0);c[f>>2]=c[z>>2];c[(c[F>>2]|0)+4>>2]=c[z+4>>2];e=d&2|0?g:0}while(0);l=G;return e|0}function Wl(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;if(c[c[a+8>>2]>>2]&4096|0)Rl(a,0)|0;f=(b|0)!=0;if(f){if(c[c[b+8>>2]>>2]&4096|0)Rl(b,0)|0;if((c[b+16>>2]|0)==(c[a+16>>2]|0)){d=b;e=7}else b=0}else{d=0;e=7}a:do if((e|0)==7){while(1){if(!d)break;if((d|0)==(a|0)){b=0;break a}d=c[d+28>>2]|0;e=7}d=a+28|0;e=c[d>>2]|0;if(e|0){g=e+24|0;c[g>>2]=(c[g>>2]|0)+-1}c[a+32>>2]=0;c[d>>2]=0;if(f){c[d>>2]=b;c[a>>2]=12;g=b+24|0;c[g>>2]=(c[g>>2]|0)+1;break}else{c[a>>2]=c[c[a+16>>2]>>2];b=e;break}}while(0);return b|0}function Xl(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0;a:do if(!(d&99)){if((d&516|0)==0?(e=c[(c[a+16>>2]|0)+4>>2]|0,!((d&384|0)!=0&(e&12|0)==0)):0){if(e&12|0){if(!(d&408)){e=0;break}o=(d&136|0)!=0;p=(d&272|0)!=0;l=0;f=0;e=0;n=a;while(1){if(!n)break;m=bb[c[c[n+16>>2]>>2]&31](n,b,d)|0;do if(!m)g=l;else{h=c[n+4>>2]|0;i=c[h+4>>2]|0;j=c[h+20>>2]|0;g=m+(c[h>>2]|0)|0;if((i|0)<0)k=c[g>>2]|0;else k=g;if(e|0){do if(!j)if((i|0)<1){g=xJ(k,f)|0;break}else{g=dL(k,f,i)|0;break}else g=cb[j&31](n,k,f,h)|0;while(0);if(!(o&(g|0)<0|p&(g|0)>0)){g=l;break}}g=n;f=k;e=m}while(0);l=g;n=c[n+28>>2]|0}c[a+32>>2]=l;break}if(!(d&24)){e=0;break}j=a+32|0;f=c[j>>2]|0;if(f){e=c[(c[f+4>>2]|0)+8>>2]|0;g=c[(c[f+8>>2]|0)+4>>2]|0;if((e|0)<0)e=c[g+8>>2]|0;else e=g+(0-e)|0;if((e|0)==(b|0))e=b;else{f=a;h=32}}else{f=a;h=32}do if((h|0)==32){while(1){if(!f){h=33;break}e=bb[c[c[f+16>>2]>>2]&31](f,b,4)|0;if(e|0){h=36;break}f=c[f+28>>2]|0;h=32}if((h|0)==33){c[j>>2]=0;e=0;break a}else if((h|0)==36){c[j>>2]=f;break}}while(0);i=(d<<4&128^128)+128|0;e=bb[c[c[f+16>>2]>>2]&31](f,e,d)|0;while(1){h=f+16|0;while(1){if(!e)break;else g=a;while(1){if((g|0)==(f|0))break a;if(bb[c[c[g+16>>2]>>2]&31](g,e,4)|0)break;g=c[g+28>>2]|0}e=bb[c[c[h>>2]>>2]&31](f,e,d)|0}f=c[f+28>>2]|0;c[j>>2]=f;if(!f){e=0;break a}e=bb[c[c[f+16>>2]>>2]&31](f,0,i)|0}}else f=a;while(1){if(!f){f=0;e=0;break}e=bb[c[c[f+16>>2]>>2]&31](f,b,d)|0;if(e|0)break;f=c[f+28>>2]|0}c[a+32>>2]=f}else e=bb[c[c[a+16>>2]>>2]&31](a,b,d)|0;while(0);return e|0}function Yl(a){a=a|0;var b=0;b=c[41980]|0;c[41980]=a;return b|0}function Zl(a){a=a|0;var b=0;b=c[41981]|0;c[41981]=a;return b|0}function _l(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=l;l=l+16|0;f=e;c[f>>2]=d;d=$l(a,b,f)|0;l=e;return d|0}function $l(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;g=l;l=l+16|0;e=g;f=(a|0)==3;h=f?c[41983]|0:(a|0)==2?1:a;c[41983]=h;i=c[41984]|0;c[41984]=i>>>0>h>>>0?i:h;do if(h>>>0<(c[41981]|0)>>>0){a=c[41982]|0;if(!a){a=AN()|0;c[41982]=a;if(!a){a=1;break}}if(!f){DN(a)|0;a=c[41982]|0}MK(a,b,d)|0;a=0}else{if(c[41980]|0){am(a,b,d);a=0;break}if(f)a=c[13918]|0;else{i=c[13918]|0;c[e>>2]=(a|0)==1?81312:81318;zL(i,81326,e)|0;a=i}MK(a,b,d)|0;a=0}while(0);l=g;return a|0}function am(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;if((c[41985]|0)==0?(f=ZI(c[4354]|0)|0,c[41985]=f,(f|0)==0):0)WL(81331,c[13918]|0)|0;else e=4;do if((e|0)==4){if((a|0)!=3){$a[c[41980]&31]((a|0)==1?81312:81318)|0;$a[c[41980]&31](81990)|0}while(1){a=LK(c[41985]|0,c[4354]|0,b,d)|0;e=c[4354]|0;if((a|0)>-1&(a|0)<(e|0)){e=7;break}e=e<<1;f=a+1|0;f=(e|0)>(f|0)?e:f;c[4354]=f;if(!(aJ(c[41985]|0,f)|0)){e=9;break}}if((e|0)==7){$a[c[41980]&31](c[41985]|0)|0;break}else if((e|0)==9){WL(81331,c[13918]|0)|0;break}}while(0);return}function bm(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=b;$l(1,a,e)|0;l=d;return}function cm(b,d,e){b=b|0;d=d|0;e=e|0;var f=0;if(!e){e=(d|0)==0?1024:d;d=e;e=ZI(e)|0;f=1}else f=0;c[b+12>>2]=f;c[b>>2]=e;c[b+8>>2]=e+d;c[b+4>>2]=e;a[e>>0]=0;return}function dm(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;h=a+8|0;f=c[a>>2]|0;g=(c[h>>2]|0)-f|0;e=g<<1;g=g+b|0;e=g>>>0>e>>>0?g:e;g=a+4|0;b=f;f=(c[g>>2]|0)-f|0;d=a+12|0;if(!(c[d>>2]|0)){i=ZI(e)|0;TN(i|0,b|0,f|0)|0;c[d>>2]=1;b=i}else b=aJ(b,e)|0;c[a>>2]=b;c[g>>2]=b+f;c[h>>2]=b+e;return 0}function em(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;f=a+4|0;e=c[f>>2]|0;if((e+d|0)>>>0>(c[a+8>>2]|0)>>>0){dm(a,d)|0;e=c[f>>2]|0}TN(e|0,b|0,d|0)|0;c[f>>2]=(c[f>>2]|0)+d;return d|0}function fm(a,b){a=a|0;b=b|0;return em(a,b,rJ(b)|0)|0}function gm(a){a=a|0;if(c[a+12>>2]|0)_I(c[a>>2]|0);return}function hm(a){a=a|0;var b=0,e=0;b=a+4|0;e=c[b>>2]|0;if(e>>>0>(c[a>>2]|0)>>>0){c[b>>2]=e+-1;a=d[e>>0]|0}else a=-1;return a|0}function im(a,b,d){a=a|0;b=b|0;d=d|0;bp(c[41987]|0,c[b+8>>2]|0)|0;bp(c[41987]|0,c[b+12>>2]|0)|0;Zn(c[41987]|0,b);return}function jm(a,b){a=a|0;b=b|0;var c=0;c=Lo(a,81379,0)|0;if((b|0)!=0&(c|0)==0){km(a);c=Lo(a,81379,0)|0}return c|0}function km(a){a=a|0;var b=0,c=0,d=0;d=so(a)|0;wq(d,d,86,0,1)|0;c=co(d)|0;while(1){if(!c)break;mm(a,c);b=Pm(d,c)|0;while(1){if(!b)break;nm(a,b);b=Rm(d,b)|0}c=eo(d,c)|0}return}function lm(b){b=b|0;var c=0;c=b+24|0;a[c>>0]=a[c>>0]|64;sm(b);c=Lp(b)|0;pm((c|0)==0?b:c,b);return}function mm(a,b){a=a|0;b=b|0;var d=0;d=om(b)|0;if(!((d|0)!=0?(c[d+8>>2]|0)!=0:0))pm(a,b);return}function nm(a,b){a=a|0;b=b|0;var d=0;d=om(b)|0;if(!((d|0)!=0?(c[d+8>>2]|0)!=0:0))pm(a,b);return}function om(a){a=a|0;return Lo(a,81367,0)|0}function pm(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=No(b,81367,16,0)|0;f=qm(a,c[b>>2]&3)|0;e=d+8|0;a:do if(!(c[e>>2]|0)){a=so(a)|0;c[e>>2]=qm(a,c[b>>2]&3)|0;a=rm(b)|0;d=d+12|0;c[d>>2]=Yn(ro(b)|0,((a|0)>4?a:4)<<2)|0;a=bb[c[f>>2]&31](f,0,128)|0;while(1){if(!a)break a;e=ro(b)|0;e=$o(e,c[a+12>>2]|0)|0;c[(c[d>>2]|0)+(c[a+16>>2]<<2)>>2]=e;a=bb[c[f>>2]&31](f,a,8)|0}}while(0);return}function qm(a,b){a=a|0;b=b|0;var d=0,e=0;e=l;l=l+16|0;d=e;a=jm(a,0)|0;a:do if(!a)a=0;else switch(b|0){case 0:{a=c[a+16>>2]|0;break a}case 1:{a=c[a+8>>2]|0;break a}case 2:case 3:{a=c[a+12>>2]|0;break a}default:{c[d>>2]=b;_l(1,81392,d)|0;a=0;break a}}while(0);l=e;return a|0}function rm(a){a=a|0;var b=0;b=so(ro(a)|0)|0;a=qm(b,c[a>>2]&3)|0;if(!a)a=0;else a=Sl(a)|0;return a|0}function sm(a){a=a|0;var b=0,d=0,e=0,f=0;d=No(a,81379,20,0)|0;e=d+8|0;c[e>>2]=Pp(a,17420,c[4353]|0)|0;f=d+12|0;c[f>>2]=Pp(a,17420,c[4353]|0)|0;d=d+16|0;c[d>>2]=Pp(a,17420,c[4353]|0)|0;b=Lp(a)|0;if(!b){b=c[41986]|0;if(!((b|0)==0|(b|0)==(a|0))){b=jm(b,0)|0;tm(c[b+8>>2]|0,c[e>>2]|0,a,1);tm(c[b+12>>2]|0,c[f>>2]|0,a,2);tm(c[b+16>>2]|0,c[d>>2]|0,a,0)}}else{a=jm(b,0)|0;Wl(c[e>>2]|0,c[a+8>>2]|0)|0;Wl(c[f>>2]|0,c[a+12>>2]|0)|0;Wl(c[d>>2]|0,c[a+16>>2]|0)|0}return}function tm(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0;g=bb[c[b>>2]&31](b,0,128)|0;while(1){if(!g)break;h=um(e,c[g+8>>2]|0,c[g+12>>2]|0,c[g+16>>2]|0,f)|0;a[h+22>>0]=a[g+22>>0]|0;a[h+21>>0]=a[g+21>>0]|0;bb[c[d>>2]&31](d,h,1)|0;g=bb[c[b>>2]&31](b,g,8)|0}return}function um(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0;h=Yn(b,24)|0;a[h+20>>0]=g;c[h+8>>2]=$o(b,d)|0;c[h+12>>2]=$o(b,e)|0;c[h+16>>2]=f;return h|0}function vm(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+32|0;e=d;c[e+8>>2]=b;b=bb[c[a>>2]&31](a,e,4)|0;l=d;return b|0}function wm(a,b){a=a|0;b=b|0;var c=0;c=Wl(a,0)|0;b=vm(a,b)|0;Wl(a,c)|0;return b|0}function xm(a,b){a=a|0;b=b|0;a=om(a)|0;if(!a)a=0;else a=vm(c[a+8>>2]|0,b)|0;return a|0}function ym(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0;h=l;l=l+16|0;g=h;if(!b){b=c[41986]|0;if(!b){a[g>>0]=a[17456]|0;a[g+1>>0]=a[17457]|0;a[g+2>>0]=a[17458]|0;a[g+3>>0]=a[17459]|0;b=gn(0,g,0)|0;c[41986]=b}}if(!f)b=Am(b,d,e)|0;else b=zm(b,d,e,f)|0;l=h;return b|0}function zm(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;i=so(a)|0;jm(a,1)|0;g=qm(a,b)|0;f=wm(g,d)|0;a:do if(!f){f=vm(g,d)|0;if(f|0){f=um(a,d,e,c[f+16>>2]|0,b)|0;bb[c[g>>2]&31](g,f,1)|0;h=16;break}g=qm(i,b)|0;f=um(a,d,e,Sl(g)|0,b)|0;bb[c[g>>2]&31](g,f,1)|0;switch(b|0){case 0:{wq(i,i,52,f,1)|0;h=16;break a}case 1:{d=co(i)|0;while(1){if(!d){h=16;break a}Bm(a,d,f);d=eo(i,d)|0}}case 2:case 3:{g=co(i)|0;while(1){if(!g){h=16;break a}d=Pm(i,g)|0;while(1){if(!d)break;Bm(a,d,f);d=Rm(i,d)|0}g=eo(i,g)|0}}default:break a}}else{h=f+12|0;bp(a,c[h>>2]|0)|0;c[h>>2]=$o(a,e)|0;h=16}while(0);if((h|0)==16)if((b|0)==0&(f|0)!=0)Cm(a,f,e)|0;vo(a,a,f);return f|0}function Am(a,b,c){a=a|0;b=b|0;c=c|0;a=qm(a,b)|0;if(!a)a=0;else a=vm(a,c)|0;return a|0}function Bm(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;b=om(b)|0;f=d+16|0;e=c[f>>2]|0;if((e|0)>3){g=c[a+64>>2]|0;b=b+12|0;e=e<<2;c[b>>2]=cb[c[(c[g>>2]|0)+8>>2]&31](c[g+12>>2]|0,c[b>>2]|0,e,e+4|0)|0}else b=b+12|0;g=$o(a,c[d+12>>2]|0)|0;c[(c[b>>2]|0)+(c[f>>2]<<2)>>2]=g;return}function Cm(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;h=ro(a)|0;g=(om(a)|0)+12|0;i=b+16|0;bp(h,c[(c[g>>2]|0)+(c[i>>2]<<2)>>2]|0)|0;f=$o(h,d)|0;c[(c[g>>2]|0)+(c[i>>2]<<2)>>2]=f;do if(!(c[a>>2]&3)){e=c[(jm(h,0)|0)+16>>2]|0;f=b+8|0;g=wm(e,c[f>>2]|0)|0;if(!g){i=um(h,c[f>>2]|0,d,c[i>>2]|0,c[a>>2]&3)|0;bb[c[e>>2]&31](e,i,1)|0;break}else{i=g+12|0;bp(h,c[i>>2]|0)|0;c[i>>2]=$o(h,d)|0;break}}while(0);vo(h,a,b);return 0}function Dm(a,b,d){a=a|0;b=b|0;d=d|0;a=qm(a,b)|0;do if(a){b=c[a>>2]|0;if(!d){a=bb[b&31](a,0,128)|0;break}else{a=bb[b&31](a,d,8)|0;break}}else a=0;while(0);return a|0}function Em(a){a=a|0;var b=0;c[41987]=a;b=om(a)|0;if(b|0){Fm(a,b);Po(a,c[b>>2]|0)|0}b=jm(a,0)|0;if(b)if(((Rp(a,c[b+8>>2]|0)|0)==0?(Rp(a,c[b+12>>2]|0)|0)==0:0)?(Rp(a,c[b+16>>2]|0)|0)==0:0){Po(a,c[b>>2]|0)|0;b=0}else b=1;else b=0;return b|0}function Fm(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;f=ro(a)|0;e=rm(a)|0;b=b+12|0;a=0;while(1){d=c[b>>2]|0;if((a|0)>=(e|0))break;bp(f,c[d+(a<<2)>>2]|0)|0;a=a+1|0}Zn(f,d);return}function Gm(a){a=a|0;var b=0;b=om(a)|0;if(b|0){Fm(a,b);Po(a,81367)|0}return}function Hm(a){a=a|0;var b=0;b=om(a)|0;if(b|0){Fm(a,b);Po(a,81367)|0}return}function Im(a,b){a=a|0;b=b|0;b=xm(a,b)|0;if(!b)b=0;else{a=c[(om(a)|0)+12>>2]|0;b=c[a+(c[b+16>>2]<<2)>>2]|0}return b|0}function Jm(a,b){a=a|0;b=b|0;a=c[(om(a)|0)+12>>2]|0;return c[a+(c[b+16>>2]<<2)>>2]|0}function Km(a,b,c){a=a|0;b=b|0;c=c|0;b=xm(a,b)|0;if(!b)b=-1;else{Cm(a,b,c)|0;b=0}return b|0}function Lm(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;f=ro(a)|0;f=ym(f,c[a>>2]&3,b,0)|0;if(!f){f=ro(a)|0;f=ym(f,c[a>>2]&3,b,e)|0}Cm(a,f,d)|0;return 0}function Mm(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;g=ro(a)|0;f=c[a>>2]|0;a:do if(!((c[b>>2]^f)&3)){d=1;e=0;while(1){e=Dm(g,f&3,e)|0;if(!e)break a;d=xm(b,c[e+8>>2]|0)|0;if(!d){d=1;break a}f=Jm(a,e)|0;Cm(b,d,f)|0;if(cp(f)|0)dp(Jm(b,d)|0);d=0;f=c[a>>2]|0}}else d=1;while(0);return d|0}function Nm(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;a=c[b+40>>2]|0;f=c[d+40>>2]|0;if((a|0)==(f|0)){e=(c[b>>2]|0)>>>4;a=(c[d>>2]|0)>>>4;if(e>>>0>=a>>>0)if(e>>>0>a>>>0)a=1;else g=6;else a=-1}else{e=(c[a>>2]|0)>>>4;a=(c[f>>2]|0)>>>4;if(e>>>0>=a>>>0)if(e>>>0>a>>>0)a=1;else g=6;else a=-1}if((g|0)==6)a=0;return a|0}function Om(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;a=(c[b+40>>2]|0)+8|0;g=c[a>>2]|0;a=c[a+4>>2]|0;f=(c[d+40>>2]|0)+8|0;e=c[f>>2]|0;f=c[f+4>>2]|0;do if(!(a>>>0<f>>>0|(a|0)==(f|0)&g>>>0<e>>>0))if(a>>>0>f>>>0|(a|0)==(f|0)&g>>>0>e>>>0)a=1;else{e=b+8|0;a=c[e>>2]|0;e=c[e+4>>2]|0;if(!((a|0)==0&(e|0)==0)?(i=d+8|0,h=c[i>>2]|0,i=c[i+4>>2]|0,!((h|0)==0&(i|0)==0)):0){if(e>>>0<i>>>0|(e|0)==(i|0)&a>>>0<h>>>0){a=-1;break}if(e>>>0>i>>>0|(e|0)==(i|0)&a>>>0>h>>>0){a=1;break}}a=0}else a=-1;while(0);return a|0}function Pm(a,b){a=a|0;b=b|0;var d=0;b=Qm(a,b)|0;if(!b)b=0;else{d=a+44|0;a=b+32|0;Rl(c[d>>2]|0,c[a>>2]|0)|0;b=c[d>>2]|0;b=bb[c[b>>2]&31](b,0,128)|0;c[a>>2]=Nl(c[d>>2]|0)|0}return b|0}function Qm(a,b){a=a|0;b=b|0;var d=0,e=0;e=l;l=l+48|0;d=e;if((c[b+24>>2]|0)==(a|0))a=b+28|0;else{c[d+16>>2]=b;a=c[a+40>>2]|0;a=bb[c[a>>2]&31](a,d,4)|0}l=e;return a|0}function Rm(a,b){a=a|0;b=b|0;var d=0,e=0;d=Qm(a,c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)|0;if(!d)a=0;else{e=a+44|0;d=d+32|0;Rl(c[e>>2]|0,c[d>>2]|0)|0;a=c[e>>2]|0;a=bb[c[a>>2]&31](a,b,8)|0;c[d>>2]=Nl(c[e>>2]|0)|0}return a|0}function Sm(a,b){a=a|0;b=b|0;var d=0;b=Qm(a,b)|0;if(!b)b=0;else{d=a+44|0;a=b+28|0;Rl(c[d>>2]|0,c[a>>2]|0)|0;b=c[d>>2]|0;b=bb[c[b>>2]&31](b,0,128)|0;c[a>>2]=Nl(c[d>>2]|0)|0}return b|0}function Tm(a,b){a=a|0;b=b|0;var d=0,e=0;d=Qm(a,c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0;if(!d)a=0;else{e=a+44|0;d=d+28|0;Rl(c[e>>2]|0,c[d>>2]|0)|0;a=c[e>>2]|0;a=bb[c[a>>2]&31](a,b,8)|0;c[d>>2]=Nl(c[e>>2]|0)|0}return a|0}function Um(a,b){a=a|0;b=b|0;var c=0;c=Pm(a,b)|0;if(!c)c=Sm(a,b)|0;return c|0}function Vm(a,b,d){a=a|0;b=b|0;d=d|0;a:do if((c[b>>2]&3|0)==2){b=Rm(a,b)|0;if(!b){b=0;do{if(!b)b=Sm(a,d)|0;else b=Tm(a,b)|0;if(!b){b=0;break a}}while((c[b+40>>2]|0)==(d|0))}}else do{b=Tm(a,b)|0;if(!b){b=0;break a}}while((c[b+40>>2]|0)==(d|0));while(0);return b|0}function Wm(a,b,e){a=a|0;b=b|0;e=e|0;var f=0,g=0,h=0;h=l;l=l+32|0;f=h+16|0;g=h;if((sn(a)|0)!=0?(c[g>>2]=0,c[g+4>>2]=0,c[g+8>>2]=0,c[g+12>>2]=0,c[f>>2]=c[g>>2],c[f+4>>2]=c[g+4>>2],c[f+8>>2]=c[g+8>>2],c[f+12>>2]=c[g+12>>2],(_m(a,b,e,f)|0)!=0):0)f=0;else f=((d[a+24>>0]|0)>>>2&1^1)&255|(b|0)!=(e|0);l=h;return f|0}function Xm(a,b){a=a|0;b=b|0;Zm(a,b);return}function Ym(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,l=0,m=0;io(b,d,1)|0;io(b,e,1)|0;h=Yn(b,96)|0;i=h+48|0;l=kn(b,2)|0;j=c[i>>2]|0;k=c[h>>2]|0;m=h+8|0;c[m>>2]=f;c[m+4>>2]=g;m=h+56|0;c[m>>2]=f;c[m+4>>2]=g;g=l<<4;c[h>>2]=k&12|g|2;c[i>>2]=j&12|g|3;c[h+88>>2]=d;c[h+40>>2]=e;Zm(b,h);if(a[b+24>>0]&64){No(h,81367,16,0)|0;nm(b,h)}to(b,h);return h|0}function Zm(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0;i=l;l=l+16|0;d=i;h=c[b>>2]&3;g=(h|0)==2?b:b+-48|0;h=(h|0)==3?b:b+48|0;e=c[h+40>>2]|0;f=c[g+40>>2]|0;while(1){if(!a)break;c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];if(_m(a,e,f,d)|0)break;j=Qm(a,e)|0;m=a+44|0;$m(c[m>>2]|0,j+32|0,g);k=a+48|0;$m(c[k>>2]|0,j+24|0,g);j=Qm(a,f)|0;$m(c[m>>2]|0,j+28|0,h);$m(c[k>>2]|0,j+20|0,h);a=Lp(a)|0}l=i;return}function _m(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;h=l;l=l+48|0;f=h;if(!((b|0)==0|(d|0)==0)?(c[f>>2]=c[e>>2],c[f+4>>2]=c[e+4>>2],c[f+8>>2]=c[e+8>>2],c[f+12>>2]=c[e+12>>2],c[f+40>>2]=b,g=Qm(a,d)|0,(g|0)!=0):0){e=a+48|0;g=g+20|0;Rl(c[e>>2]|0,c[g>>2]|0)|0;a=c[e>>2]|0;a=bb[c[a>>2]&31](a,f,4)|0;c[g>>2]=Nl(c[e>>2]|0)|0}else a=0;l=h;return a|0}function $m(a,b,d){a=a|0;b=b|0;d=d|0;Rl(a,c[b>>2]|0)|0;bb[c[a>>2]&31](a,d,1)|0;c[b>>2]=Nl(a)|0;return}function an(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;n=l;l=l+48|0;i=n+24|0;k=n+16|0;j=n;do if(!(An(a,2,e,k,0)|0))if(!e){if(f|0?(sn(a)|0)==0:0){m=18;break};c[j>>2]=0;c[j+4>>2]=0;c[j+8>>2]=0;c[j+12>>2]=0;m=7}else m=17;else{o=j;c[o>>2]=0;c[o+4>>2]=0;o=k;g=c[o+4>>2]|0;m=j+8|0;c[m>>2]=c[o>>2];c[m+4>>2]=g;c[j>>2]=2;m=7}while(0);a:do if((m|0)==7){c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];c[i+8>>2]=c[j+8>>2];c[i+12>>2]=c[j+12>>2];g=_m(a,b,d,i)|0;b:do if(!g){if(rn(a)|0?(c[i>>2]=c[j>>2],c[i+4>>2]=c[j+4>>2],c[i+8>>2]=c[j+8>>2],c[i+12>>2]=c[j+12>>2],h=_m(a,d,b,i)|0,h|0):0){g=h;break}do if(f|0){g=so(a)|0;c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];c[i+8>>2]=c[j+8>>2];c[i+12>>2]=c[j+12>>2];g=_m(g,b,d,i)|0;if(!g){if(!(rn(a)|0))break;g=so(a)|0;c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];c[i+8>>2]=c[j+8>>2];c[i+12>>2]=c[j+12>>2];g=_m(g,d,b,i)|0;if(!g)break}Xm(a,g);break b}while(0);m=17;break a}while(0)}while(0);if((m|0)==17)if(!f)g=0;else m=18;if((m|0)==18)if((Wm(a,b,d)|0)!=0?(An(a,2,e,k,1)|0)!=0:0){g=k;g=Ym(a,b,d,c[g>>2]|0,c[g+4>>2]|0)|0;En(a,2,g)}else g=0;l=n;return g|0}function bn(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;d=(c[b>>2]&3|0)==3;g=d?b+-48|0:b;d=d?b:b+48|0;b=c[g+40>>2]|0;h=Qm(a,c[d+40>>2]|0)|0;f=a+44|0;cn(c[f>>2]|0,h+32|0,g);e=a+48|0;cn(c[e>>2]|0,h+24|0,g);b=Qm(a,b)|0;cn(c[f>>2]|0,b+28|0,d);cn(c[e>>2]|0,b+20|0,d);return}function cn(a,b,d){a=a|0;b=b|0;d=d|0;Rl(a,c[b>>2]|0)|0;bb[c[a>>2]&31](a,d,2)|0;c[b>>2]=Nl(a)|0;return}function dn(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0;e=l;l=l+16|0;f=e;d=(c[d>>2]&3|0)==2?d:d+-48|0;g=c[d>>2]&3;h=c[((g|0)==3?d:d+48|0)+40>>2]|0;g=c[((g|0)==2?d:d+-48|0)+40>>2]|0;c[f>>2]=c[d>>2];c[f+4>>2]=c[d+4>>2];c[f+8>>2]=c[d+8>>2];c[f+12>>2]=c[d+12>>2];if(_m(b,h,g,f)|0){if((so(b)|0)==(b|0)){if(a[b+24>>0]&64)Hm(d);xo(b,d);Vo(d);h=d+8|0;Cn(b,2,c[h>>2]|0,c[h+4>>2]|0)}if(!(wq(b,d,53,0,0)|0))if((so(b)|0)==(b|0)){Zn(b,d);d=0}else d=0;else d=-1}else d=-1;l=e;return d|0}function en(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;h=l;l=l+16|0;e=h;f=io(a,c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0,d)|0;g=io(a,c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0,d)|0;do if((f|0)!=0&(g|0)!=0){c[e>>2]=c[b>>2];c[e+4>>2]=c[b+4>>2];c[e+8>>2]=c[b+8>>2];c[e+12>>2]=c[b+12>>2];e=_m(a,f,g,e)|0;f=(e|0)==0;if(!((d|0)!=0&f)){if(f)break}else{Zm(a,b);e=b}d=c[e>>2]&3;l=h;return ((d|0)==(c[b>>2]&3|0)?e:e+(((d|0)==3?-1:1)*48|0)|0)|0}while(0);l=h;return 0}function fn(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;b=b+8|0;e=d+8|0;e=IN(c[b>>2]|0,c[b+4>>2]|0,c[e>>2]|0,c[e+4>>2]|0)|0;return ((e|0)==0?0:e>>31|1)|0}function gn(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;h=l;l=l+16|0;g=h;j=hn(e)|0;f=ab[c[(c[j>>2]|0)+4>>2]&63](c[j+12>>2]|0,72)|0;c[f>>2]=c[f>>2]&-4;i=f+64|0;c[i>>2]=j;k=f+24|0;d=c[d>>2]|0;c[k>>2]=d;a[k>>0]=d&255|8;c[f+60>>2]=f;e=ab[c[c[j+4>>2]>>2]&63](f,e)|0;c[(c[i>>2]|0)+16>>2]=e;if(An(f,0,b,g,1)|0){i=g;j=c[i+4>>2]|0;k=f+8|0;c[k>>2]=c[i>>2];c[k+4>>2]=j}k=jn(f)|0;En(k,0,f);l=h;return k|0}function hn(b){b=b|0;var d=0,e=0,f=0,g=0;d=(b|0)!=0;if(d){e=c[b>>2]|0;e=(e|0)==0?17792:e}else e=17792;g=$a[c[e>>2]&31](b)|0;f=ab[c[e+4>>2]&63](g,80)|0;c[f>>2]=e;c[f+12>>2]=g;if(d){g=c[b+4>>2]|0;c[f+4>>2]=(g|0)==0?17668:g;b=c[b+8>>2]|0;b=(b|0)==0?17768:b}else{c[f+4>>2]=17668;b=17768}c[f+8>>2]=b;a[f+52>>0]=1;return f|0}function jn(b){b=b|0;var d=0,e=0;c[b+36>>2]=Pp(b,17848,c[4353]|0)|0;c[b+40>>2]=Pp(b,17812,c[4353]|0)|0;d=(so(b)|0)==(b|0);c[b+44>>2]=Pp(b,d?17460:17496,c[4353]|0)|0;d=(so(b)|0)==(b|0);c[b+48>>2]=Pp(b,d?17532:17568,c[4353]|0)|0;c[b+52>>2]=Pp(b,17604,c[4353]|0)|0;d=Lp(b)|0;if(!((d|0)!=0?(e=kn(d,0)|0,c[b>>2]=c[b>>2]&15|e<<4,e=c[d+52>>2]|0,bb[c[e>>2]&31](e,b,1)|0,!(a[d+24>>0]&64)):0))lm(b);to(b,b);return b|0}function kn(a,b){a=a|0;b=b|0;var d=0;d=(c[a+64>>2]|0)+24+(b<<3)|0;b=d;b=HN(c[b>>2]|0,c[b+4>>2]|0,1,0)|0;a=z;c[d>>2]=b;c[d+4>>2]=a;z=a;return b|0}function ln(b){b=b|0;var d=0,e=0,f=0,g=0;f=Lp(b)|0;g=(f|0)==0;if(g?(d=b+64|0,(c[(c[c[d>>2]>>2]|0)+16>>2]|0)!=0):0){xo(b,b);g=b+8|0;Cn(b,0,c[g>>2]|0,c[g+4>>2]|0);d=c[d>>2]|0;gb[c[(c[d>>2]|0)+16>>2]&127](c[d+12>>2]|0);d=0}else e=4;do if((e|0)==4){d=Jp(b)|0;while(1){if(!d)break;e=Kp(d)|0;ln(d)|0;d=e}d=co(b)|0;while(1){if(!d)break;e=eo(b,d)|0;po(b,d)|0;d=e}Nn(b);xo(b,b);if(((((Rp(b,c[b+40>>2]|0)|0)==0?(Rp(b,c[b+36>>2]|0)|0)==0:0)?(Rp(b,c[b+48>>2]|0)|0)==0:0)?(Rp(b,c[b+44>>2]|0)|0)==0:0)?(Rp(b,c[b+52>>2]|0)|0)==0:0){if(a[b+24>>0]&64?Em(b)|0:0){d=-1;break}Vo(b);e=b+8|0;Cn(b,0,c[e>>2]|0,c[e+4>>2]|0);if(!g){Mp(f,b)|0;Zn(f,b);d=0;break}d=b+64|0;while(1){e=c[d>>2]|0;f=c[e+48>>2]|0;if(!f)break;Ao(b,c[f>>2]|0)|0}gb[c[(c[e+4>>2]|0)+20>>2]&127](c[e+16>>2]|0);if(!(Wo(b)|0)){d=c[d>>2]|0;g=c[d+12>>2]|0;f=(c[d>>2]|0)+12|0;hb[c[f>>2]&31](g,b);hb[c[f>>2]&31](g,d);d=0}else d=-1}else d=-1}while(0);return d|0}function mn(a){a=a|0;return Sl(c[a+40>>2]|0)|0}function nn(a){a=a|0;var b=0,c=0,d=0;b=0;c=co(a)|0;while(1){if(!c)break;d=(on(a,c,0,1)|0)+b|0;b=d;c=eo(a,c)|0}return b|0}function on(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;f=Qm(a,b)|0;if(f){if(!e)b=0;else b=pn(c[a+44>>2]|0,f+32|0)|0;if(d)b=(pn(c[a+44>>2]|0,f+28|0)|0)+b|0}else b=0;return b|0}function pn(a,b){a=a|0;b=b|0;var d=0;Rl(a,c[b>>2]|0)|0;d=Sl(a)|0;c[b>>2]=Nl(a)|0;return d|0}function qn(b){b=b|0;return a[b+24>>0]&1|0}function rn(a){a=a|0;return (qn(a)|0)==0|0}function sn(a){a=a|0;return (d[a+24>>0]|0)>>>1&1|0}function tn(a,b){a=a|0;b=b|0;return a|0}function un(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;if(!d){f=1328;d=c[f>>2]|0;f=c[f+4>>2]|0;c[e>>2]=d;c[e+4>>2]=f;f=HN(d|0,f|0,2,0)|0;e=1328;c[e>>2]=f;c[e+4>>2]=z}else{if(!f)a=Yo(a,d)|0;else a=$o(a,d)|0;c[e>>2]=a;c[e+4>>2]=0}return 1}function vn(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;return 0}function wn(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;if((c&1|0)==0&0==0)bp(a,c)|0;return}function xn(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;return ((c&1|0)==0&0==0?c:0)|0}function yn(a){a=a|0;return}function zn(a,b,c){a=a|0;b=b|0;c=c|0;return}function An(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0;i=(e|0)!=0;do if(i){if((a[e>>0]|0)!=37?(h=c[b+64>>2]|0,h=db[c[(c[h+4>>2]|0)+4>>2]&3](c[h+16>>2]|0,d,e,f,g)|0,h|0):0)break;h=Fn(b,d,e,f)|0;if(!h)j=5}else j=5;while(0);if((j|0)==5)if(g){h=c[b+64>>2]|0;h=db[c[(c[h+4>>2]|0)+4>>2]&3](c[h+16>>2]|0,d,0,f,g)|0;if(i&(h|0)!=0){j=f;Gn(b,d,e,c[j>>2]|0,c[j+4>>2]|0)}}else h=0;return h|0}function Bn(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;a=c[a+64>>2]|0;return cb[c[(c[a+4>>2]|0)+8>>2]&31](c[a+16>>2]|0,b,d,e)|0}function Cn(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;Ln(a,b,d,e)|0;a=c[a+64>>2]|0;kb[c[(c[a+4>>2]|0)+12>>2]&31](c[a+16>>2]|0,b,d,e);return}function Dn(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;h=l;l=l+16|0;g=h;d=ro(a)|0;f=a+8|0;b=f;b=Jn(d,c[a>>2]&3,c[b>>2]|0,c[b+4>>2]|0)|0;do 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po(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;f=d+8|0;e=f;if(bo(b,c[e>>2]|0,c[e+4>>2]|0)|0){if((so(b)|0)==(b|0)){e=Um(b,d)|0;while(1){if(!e)break;g=Vm(b,e,d)|0;dn(b,e)|0;e=g}if(a[b+24>>0]&64)Gm(d);xo(b,d);Vo(d);g=f;Cn(b,1,c[g>>2]|0,c[g+4>>2]|0)}if(!(wq(b,d,54,0,0)|0))if((so(b)|0)==(b|0)){Zn(b,d);e=0}else e=0;else e=-1}else e=-1;return e|0}function qo(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;h=l;l=l+16|0;e=h;d=c[b>>2]|0;do if(!(d&3))if((Lp(b)|0)==(a|0)){d=c[b>>2]|0;g=5;break}else{_l(1,81451,e)|0;f=-1;break}else g=5;while(0);a:do if((g|0)==5)switch(d&3){case 1:{f=po(a,b)|0;break a}case 2:case 3:{f=dn(a,b)|0;break a}case 0:{f=ln(b)|0;break a}default:{}}while(0);l=h;return f|0}function ro(a){a=a|0;var b=0;switch(c[a>>2]&3){case 2:case 3:{b=c[(c[a+40>>2]|0)+24>>2]|0;break}case 1:{b=c[a+24>>2]|0;break}case 0:{b=a;break}default:{}}return b|0}function so(a){a=a|0;var b=0;switch(c[a>>2]&3){case 2:case 3:{b=(c[a+40>>2]|0)+24|0;break}case 1:{b=a+24|0;break}case 0:{b=a+60|0;break}default:{}}return 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if(d|0){yo(a,b,c[d+8>>2]|0);switch(c[b>>2]&3){case 0:{e=(c[d>>2]|0)+8|0;break}case 1:{e=(c[d>>2]|0)+20|0;break}case 2:{e=(c[d>>2]|0)+32|0;break}default:break a}e=c[e>>2]|0;if(e|0)ib[e&127](a,b,c[d+4>>2]|0)}while(0);return}function zo(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=Yn(a,12)|0;c[e>>2]=b;c[e+4>>2]=d;d=(c[a+64>>2]|0)+48|0;c[e+8>>2]=c[d>>2];c[d>>2]=e;return}function Ao(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;e=(c[a+64>>2]|0)+48|0;d=c[e>>2]|0;a:do if(!d)d=-1;else{if((c[d>>2]|0)!=(b|0)){while(1){if(!d){d=-1;break a}e=d+8|0;f=c[e>>2]|0;if((c[f>>2]|0)==(b|0))break;else d=f}if(f)c[e>>2]=c[f+8>>2]}else c[e>>2]=c[d+8>>2];Zn(a,d);d=0}while(0);return d|0}function Bo(a,b){a=a|0;b=b|0;var d=0;d=so(a)|0;a:do if((d|0)==(so(b)|0))switch(c[b>>2]&3){case 0:{while(1){if((b|0)==(a|0)){b=1;break a}b=Lp(b)|0;if(!b){b=0;break}}break}case 1:{b=b+8|0;b=(ho(a,c[b>>2]|0,c[b+4>>2]|0,0)|0)!=0;break a}default:{b=(en(a,b,0)|0)!=0;break a}}else b=0;while(0);return b&1|0}function Co(a){a=a|0;return c[a>>2]&3|0}function Do(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0,f=0,g=0,h=0;h=l;l=l+16|0;g=h;f=No(a,81475,44,0)|0;switch(c|0){case 100:{e=Eo(f,b,100)|0;if(!(Fo(e,b)|0))Go(e,a,b,d)|0;break}case 101:{if(((Fo(Eo(f,b,100)|0,b)|0)==0?(Fo(Eo(f,b,102)|0,b)|0)==0:0)?(e=Eo(f,b,101)|0,(Fo(e,b)|0)==0):0)Go(e,a,b,d)|0;break}case 102:{Ho(Eo(f,b,100)|0,b);Ho(Eo(f,b,101)|0,b);e=Eo(f,b,102)|0;if(!(Fo(e,b)|0))Go(e,a,b,d)|0;break}default:_l(1,81487,g)|0}l=h;return}function Eo(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;g=l;l=l+16|0;e=g;a:do switch(c[b>>2]&3){case 0:switch(d|0){case 100:{d=a+8|0;break a}case 101:{d=a+20|0;break a}case 102:{d=a+32|0;break a}default:{f=14;break a}}case 1:switch(d|0){case 100:{d=a+12|0;break a}case 101:{d=a+24|0;break a}case 102:{d=a+36|0;break a}default:{f=14;break a}}case 2:switch(d|0){case 100:{d=a+16|0;break a}case 101:{d=a+28|0;break a}case 102:{d=a+40|0;break a}default:{f=14;break a}}default:f=14}while(0);if((f|0)==14){_l(1,81521,e)|0;d=0}a=c[d>>2]|0;if(!a){a=ro(b)|0;a=Pp(a,17884,c[4353]|0)|0;c[d>>2]=a}l=g;return a|0}function Fo(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=l;l=l+32|0;e=d;f=Io(b)|0;b=e+8|0;c[b>>2]=f;c[b+4>>2]=z;b=bb[c[a>>2]&31](a,e,4)|0;l=d;return b|0}function Go(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;f=Yn(ro(d)|0,32)|0;c[f+20>>2]=d;g=Io(d)|0;d=f+8|0;c[d>>2]=g;c[d+4>>2]=z;c[f+16>>2]=b;if(e|0){g=Yn(b,8)|0;c[f+24>>2]=g;c[g>>2]=e}bb[c[a>>2]&31](a,f,1)|0;return f|0}function Ho(a,b){a=a|0;b=b|0;b=Fo(a,b)|0;if(b|0)bb[c[a>>2]&31](a,b,2)|0;return}function Io(a){a=a|0;a=a+8|0;z=c[a+4>>2]|0;return c[a>>2]|0}function Jo(a,b,d){a=a|0;b=b|0;d=d|0;Ko(b);Zn(c[b+16>>2]|0,b);return}function Ko(a){a=a|0;var b=0,d=0;b=a+16|0;a=c[a+24>>2]|0;while(1){if(!a)break;d=c[a+4>>2]|0;Zn(c[b>>2]|0,a);a=d}return}function Lo(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+16|0;i=k;h=c[b+16>>2]|0;f=h;while(1){if(!f){f=0;break}g=c[f>>2]|0;if((g|0)==(d|0)){j=7;break}if((a[d>>0]|0)==(a[g>>0]|0)?(xJ(d,g)|0)==0:0){j=7;break}f=c[f+4>>2]|0;if((f|0)==(h|0)){f=0;break}}do if((j|0)==7){if(!(c[b>>2]&4)){if((f|0)==(h|0)&(e|0)==0){f=h;break}Mo(b,f,e);break}if(e)if((h|0)==(f|0))f=h;else _l(1,81546,i)|0}while(0);l=k;return f|0}function Mo(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;c[a+16>>2]=b;e=c[a>>2]|0;d=d<<2&4;c[a>>2]=e&-5|d;if(e&2|0){e=(e&3|0)==3?-1:1;c[a+(e*48|0)+16>>2]=b;e=a+(e*48|0)|0;c[e>>2]=c[e>>2]&-5|d}return}function No(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;h=ro(a)|0;f=Lo(a,b,0)|0;a:do if((d|0)!=0&(f|0)==0){d=Yn(h,d)|0;c[d>>2]=$o(h,b)|0;switch(c[a>>2]&3){case 0:{Oo(a,d);g=d;break a}case 1:{Oo(a,d);g=d;break a}case 2:case 3:{Oo(a,d);g=d;break a}default:{}}}else g=f;while(0);if(e|0)Lo(a,b,1)|0;return g|0}function Oo(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=c[a+16>>2]|0;do if(d){e=d+4|0;f=c[e>>2]|0;if((f|0)==(d|0)){c[e>>2]=b;e=d;d=b;break}else{c[b+4>>2]=f;e=b;break}}else{e=b;d=b}while(0);c[d+4>>2]=e;if(!(c[a>>2]&4))Mo(a,b,0);return}function Po(a,b){a=a|0;b=b|0;var d=0,e=0;e=ro(a)|0;d=Lo(a,b,0)|0;if(!d)b=-1;else{Qo(a,d);if(!(c[a>>2]&3)){Ro(e,a,d);b=d}else{wq(so(e)|0,a,55,d,0)|0;b=d}bp(e,c[d>>2]|0)|0;Zn(e,b);b=0}return b|0}function Qo(a,b){a=a|0;b=b|0;var d=0;a=c[a+16>>2]|0;do{d=a+4|0;a=c[d>>2]|0}while((a|0)!=(b|0));c[d>>2]=c[b+4>>2];return}function Ro(a,b,d){a=a|0;b=b|0;d=d|0;if((c[b+16>>2]|0)==(d|0)){a=c[d+4>>2]|0;Mo(b,(a|0)==(d|0)?0:a,0)}return}function So(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;var f=0,g=0;f=(d|0)>-1;g=f?d:0-d|0;a:do switch(b|0){case 0:{No(a,c,g,e)|0;if(!f){b=Jp(a)|0;while(1){if(!b)break a;So(b,0,c,d,e);b=Kp(b)|0}}break}case 3:case 2:case 1:{d=(b|0)==1;b=co(a)|0;while(1){if(!b)break a;b:do if(d)No(b,c,g,e)|0;else{f=Pm(a,b)|0;while(1){if(!f)break b;No(f,c,g,e)|0;f=Rm(a,f)|0}}while(0);b=eo(a,b)|0}}default:{}}while(0);return}function To(a,b,c){a=a|0;b=b|0;c=c|0;var d=0,e=0;a:do switch(b|0){case 0:{wq(a,a,56,c,1)|0;break}case 3:case 2:case 1:{e=(b|0)==1;d=co(a)|0;while(1){if(!d)break a;b:do if(e)Po(d,c)|0;else{b=Pm(a,d)|0;while(1){if(!b)break b;Po(b,c)|0;b=Rm(a,b)|0}}while(0);d=eo(a,d)|0}}default:{}}while(0);return}function Uo(a,b,c){a=a|0;b=b|0;c=c|0;Po(b,c)|0;return}function Vo(a){a=a|0;var b=0,d=0,e=0;d=ro(a)|0;b=a+16|0;a=c[b>>2]|0;if(a|0)do{e=a;a=c[a+4>>2]|0;bp(d,c[e>>2]|0)|0;Zn(d,e)}while((a|0)!=(c[b>>2]|0));c[b>>2]=0;return}function Wo(a){a=a|0;return Rp(a,Xo(a)|0)|0}function Xo(a){a=a|0;var b=0,d=0;if(!a)d=168024;else d=(c[a+64>>2]|0)+20|0;b=c[d>>2]|0;if(!b){b=Pp(a,17920,c[4353]|0)|0;c[d>>2]=b;a=167096;c[a>>2]=-2147483648;c[a+4>>2]=0;a=167104;c[a>>2]=2147483647;c[a+4>>2]=-1}return b|0}function Yo(a,b){a=a|0;b=b|0;return Zo(Xo(a)|0,b)|0}function Zo(a,b){a=a|0;b=b|0;a=_o(a,b)|0;if(!a)a=0;else a=c[a+16>>2]|0;return a|0}function _o(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+32|0;e=d;c[e+16>>2]=b;b=bb[c[a>>2]&31](a,e,4)|0;l=d;return b|0}function $o(a,b){a=a|0;b=b|0;var d=0,e=0;if(!b)d=0;else{e=Xo(a)|0;d=_o(e,b)|0;if(!d){d=(rJ(b)|0)+24|0;if(!a)d=ZI(d)|0;else d=Yn(a,d)|0;a=d+8|0;c[a>>2]=1;c[a+4>>2]=0;a=d+20|0;xK(a,b)|0;c[d+16>>2]=a;bb[c[e>>2]&31](e,d,1)|0}else{e=d+8|0;b=e;b=HN(c[b>>2]|0,c[b+4>>2]|0,1,0)|0;c[e>>2]=b;c[e+4>>2]=z}d=c[d+16>>2]|0}return d|0}function ap(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;if(!b)d=0;else{e=Xo(a)|0;d=_o(e,b)|0;if(!d){d=(rJ(b)|0)+24|0;if(!a)d=ZI(d)|0;else d=Yn(a,d)|0;g=167096;f=c[g+4>>2]|0;a=d+8|0;c[a>>2]=c[g>>2]|1;c[a+4>>2]=f;a=d+20|0;xK(a,b)|0;c[d+16>>2]=a;bb[c[e>>2]&31](e,d,1)|0}else{g=d+8|0;f=g;f=HN(c[f>>2]|0,c[f+4>>2]|0,1,0)|0;c[g>>2]=f;c[g+4>>2]=z}d=c[d+16>>2]|0}return d|0}function bp(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;if((b|0)!=0?(d=Xo(a)|0,e=_o(d,b)|0,(e|0)!=0):0)if((c[e+16>>2]|0)==(b|0)?(b=e+8|0,g=b,g=HN(c[g>>2]|0,c[g+4>>2]|0,-1,-1)|0,f=z,b,c[b>>2]=g,c[b+4>>2]=f,b=167104,(g|0)==0&(f|0)==0|(c[b>>2]|0)==0&(c[b+4>>2]|0)==0):0){Qp(a,d,e)|0;a=0}else a=0;else a=-1;return a|0}function cp(a){a=a|0;var b=0;if(!a)a=0;else{a=a+-12|0;b=167096;a=c[b>>2]&c[a>>2]}return a|0}function dp(a){a=a|0;var b=0,d=0,e=0;if(a|0){d=167096;a=a+-12|0;e=a;b=c[e+4>>2]|c[d+4>>2];c[a>>2]=c[e>>2]|c[d>>2];c[a+4>>2]=b}return}function ep(a){a=a|0;c[4489]=a;return}function fp(a){a=a|0;c[42011]=a;c[4489]=1;return}function gp(a,b){a=a|0;b=b|0;c[42012]=a;c[42013]=b;c[42014]=0;return}function hp(){var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0;if(!(c[42015]|0)){c[42015]=1;if(!(c[42016]|0))c[42016]=1;if(!(c[42007]|0))c[42007]=c[13853];if(!(c[42008]|0))c[42008]=c[13885];k=c[42017]|0;if(!((k|0)!=0?(c[k>>2]|0)!=0:0)){ip();k=jp(c[42007]|0,16384)|0;c[c[42017]>>2]=k}kp()}a:while(1){j=c[42018]|0;a[j>>0]=a[173927]|0;e=(c[(c[c[42017]>>2]|0)+28>>2]|0)+(c[42016]|0)|0;f=j;b:while(1){h=f;while(1){f=c[17960+(d[h>>0]<<2)>>2]|0;if(b[56680+(e<<1)>>1]|0){c[42019]=e;c[42020]=h}c:while(1){g=f&255;do{f=g+(b[56866+(e<<1)>>1]|0)|0;if((e|0)==(b[57076+(f<<1)>>1]|0))break c;k=b[57612+(e<<1)>>1]|0;e=k<<16>>16}while(k<<16>>16<=92);f=c[18984+(g<<2)>>2]|0}e=b[57822+(f<<1)>>1]|0;f=h+1|0;if((b[56866+(e<<1)>>1]|0)==219)break;else h=f}d:while(1){k=j;e:while(1){e=b[56680+(e<<1)>>1]|0;if(!(e<<16>>16)){e=b[56680+(c[42019]<<1)>>1]|0;f=c[42020]|0}else e=e<<16>>16;c[42009]=j;i=f;c[42010]=i-k;a[173927]=a[f>>0]|0;a[f>>0]=0;c[42018]=f;f:while(1){switch(e|0){case 1:{m=27;break a}case 12:{m=53;break a}case 13:{m=55;break a}case 14:{m=57;break a}case 15:{m=61;break a}case 16:{m=65;break a}case 17:{m=67;break a}case 18:{m=69;break a}case 19:{m=72;break a}case 20:{m=75;break a}case 21:{m=78;break a}case 23:{m=86;break a}case 33:{m=118;break a}case 39:case 38:case 37:case 36:{l=0;break a}case 2:{m=29;break b}case 3:{m=32;break b}case 4:{m=35;break b}case 5:{m=37;break b}case 6:{m=39;break b}case 7:{m=42;break b}case 8:{m=44;break b}case 9:{m=47;break b}case 10:{m=49;break b}case 11:{m=51;break b}case 22:{m=83;break b}case 24:{m=89;break b}case 25:{m=92;break b}case 26:{m=95;break b}case 27:{m=98;break b}case 28:{m=101;break b}case 29:{m=104;break b}case 30:{m=109;break b}case 31:{m=112;break b}case 32:{m=115;break b}case 34:{m=121;break b}case 0:break f;case 35:break;default:{m=134;break a}}h=c[42009]|0;a[f>>0]=a[173927]|0;e=c[42017]|0;g=c[e>>2]|0;if(!(c[g+44>>2]|0)){n=c[g+16>>2]|0;c[42022]=n;c[g>>2]=c[42007];g=c[e>>2]|0;c[g+44>>2]=1;e=n}else e=c[42022]|0;if((c[42018]|0)>>>0<=((c[g+4>>2]|0)+e|0)>>>0){m=128;break e}switch(tp()|0){case 0:{m=132;break d}case 2:{m=133;break e}case 1:break;default:continue a}c[42018]=c[42009];e=(((c[42016]|0)+-1|0)/2|0)+36|0}a[f>>0]=a[173927]|0;f=c[42020]|0;e=c[42019]|0}if((m|0)==128){m=0;g=i-h|0;h=c[42009]|0;f=h+(g+-1)|0;c[42018]=f;e=rp()|0;i=sp(e)|0;j=c[42009]|0;if(!i)continue;else{m=129;break}}else if((m|0)==133){m=0;f=(c[(c[c[42017]>>2]|0)+4>>2]|0)+(c[42022]|0)|0;c[42018]=f;e=rp()|0;j=c[42009]|0;continue}}if((m|0)==129){m=0;f=h+g|0;c[42018]=f;e=i;continue}else if((m|0)==132){m=0;f=(c[42009]|0)+(i-h+-1)|0;c[42018]=f;e=rp()|0;j=c[42009]|0;continue}}switch(m|0){case 29:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;c[4489]=(c[4489]|0)+1;continue a}case 32:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;c[42016]=3;continue a}case 35:{m=0;e=c[42010]|0;if(!e)continue a;c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;continue a}case 37:{m=0;e=c[42010]|0;if(!e)continue a;c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;continue a}case 39:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;c[42016]=1;continue a}case 42:{m=0;e=c[42010]|0;if(!e)continue a;c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;continue a}case 44:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;lp();continue a}case 47:{m=0;e=c[42010]|0;if(!e)continue a;c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;continue a}case 49:{m=0;e=c[42010]|0;if(!e)continue a;c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;continue a}case 51:{m=0;e=c[42010]|0;if(!e)continue a;c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;continue a}case 83:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;c[42016]=5;np();continue a}case 89:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;pp(83714);continue a}case 92:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;pp(81579);continue a}case 95:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;c[4489]=(c[4489]|0)+1;continue a}case 98:{m=0;f=c[42010]|0;e=c[42009]|0;if(f|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[e+(f+-1)>>0]|0)==10&1;pp(e);continue a}case 101:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;c[42016]=7;c[42021]=1;np();continue a}case 104:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;n=(c[42021]|0)+-1|0;c[42021]=n;if(!n){m=108;break a}pp(c[42009]|0);continue a}case 109:{m=0;f=c[42010]|0;e=c[42009]|0;if(f|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[e+(f+-1)>>0]|0)==10&1;c[42021]=(c[42021]|0)+1;pp(e);continue a}case 112:{m=0;f=c[42010]|0;e=c[42009]|0;if(f|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[e+(f+-1)>>0]|0)==10&1;pp(e);c[4489]=(c[4489]|0)+1;continue a}case 115:{m=0;f=c[42010]|0;e=c[42009]|0;if(f|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[e+(f+-1)>>0]|0)==10&1;pp(e);continue a}case 121:{m=0;f=c[42010]|0;e=c[42009]|0;if(f|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[e+(f+-1)>>0]|0)==10&1;XL(e,f,1,c[42008]|0)|0;continue a}}}switch(m|0){case 27:{e=c[42010]|0;if(!e)l=-1;else{c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;l=-1}break}case 53:{e=c[42010]|0;if(!e)l=259;else{c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;l=259}break}case 55:{e=c[42010]|0;if(!e)l=260;else{c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;l=260}break}case 57:{e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;if(!(c[42014]|0)){c[42014]=258;l=258}else l=258;break}case 61:{e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;if(!(c[42014]|0)){c[42014]=261;l=261}else l=261;break}case 65:{e=c[42010]|0;if(!e)l=263;else{c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;l=263}break}case 67:{e=c[42010]|0;if(!e)l=262;else{c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;l=262}break}case 69:{e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;l=(c[42014]|0)==261?264:45;break}case 72:{e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;l=(c[42014]|0)==258?264:45;break}case 75:{f=c[42010]|0;e=c[42009]|0;if(f|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[e+(f+-1)>>0]|0)==10&1;c[42037]=$o(c[41987]|0,e)|0;l=267;break}case 78:{e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;if(mp()|0){m=(c[42010]|0)+-1|0;a[f>>0]=a[173927]|0;n=j+m|0;c[42018]=n;c[42009]=j;c[42010]=m;a[173927]=a[n>>0]|0;a[n>>0]=0;c[42018]=n}c[42037]=$o(c[41987]|0,c[42009]|0)|0;l=267;break}case 86:{e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;c[42016]=1;op();l=268;break}case 108:{c[42016]=1;qp();l=268;break}case 118:{f=c[42010]|0;e=c[42009]|0;if(f|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[e+(f+-1)>>0]|0)==10&1;l=a[e>>0]|0;break}case 134:{up(81582);break}}return l|0}function ip(){var a=0,b=0,d=0;b=c[42017]|0;do if(!b){a=Bp(4)|0;c[42017]=a;if(!a)up(81940);else{c[a>>2]=0;a=1;d=9;break}}else{a=c[42028]|0;if(0>=(a+-1|0)>>>0){a=a+8|0;b=vp(b,a<<2)|0;c[42017]=b;if(!b)up(81940);else{d=b+(c[42028]<<2)|0;c[d>>2]=0;c[d+4>>2]=0;c[d+8>>2]=0;c[d+12>>2]=0;c[d+16>>2]=0;c[d+20>>2]=0;c[d+24>>2]=0;c[d+28>>2]=0;d=9;break}}}while(0);if((d|0)==9)c[42028]=a;return}function jp(a,b){a=a|0;b=b|0;var d=0;d=Bp(48)|0;if(!d)up(81895);c[d+12>>2]=b;b=Bp(b+2|0)|0;c[d+4>>2]=b;if(!b)up(81895);else{c[d+20>>2]=1;xp(d,a);return d|0}return 0}function kp(){var b=0,d=0;d=c[42017]|0;b=c[d>>2]|0;c[42022]=c[b+16>>2];b=c[b+8>>2]|0;c[42018]=b;c[42009]=b;c[42007]=c[c[d>>2]>>2];a[173927]=a[b>>0]|0;return}function lp(){var b=0,d=0,e=0,f=0,g=0,h=0,i=0;g=l;l=l+32|0;f=g;d=g+16|0;e=g+12|0;h=c[42009]|0;b=h+1|0;i=(VJ(b,81879,4)|0)==0;b=i?h+5|0:b;c[f>>2]=e;c[f+4>>2]=g+20;c[f+8>>2]=d;f=cM(b,81884,f)|0;if((f|0)>0?(c[4489]=(c[e>>2]|0)+-1,(f|0)!=1):0){d=b+(c[d>>2]|0)|0;b=d;a:while(1){e=a[b>>0]|0;switch(e<<24>>24){case 0:case 34:break a;default:{}}b=b+1|0}if((b|0)!=(d|0)&e<<24>>24==34){a[b>>0]=0;Ap(d,b-d|0)}}l=g;return}function mp(){var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;j=l;l=l+2080|0;i=j+8|0;f=j;b=j+1056|0;d=j+32|0;h=j+16|0;k=a[(c[42009]|0)+((c[42010]|0)+-1)>>0]|0;e=k<<24>>24==46;if(e|((k&255)+-48|0)>>>0<10)if(e?(zp()|0)!=0:0)g=4;else b=0;else g=4;if((g|0)==4){k=c[42011]|0;cm(h,1024,b);fm(h,81790)|0;fm(h,c[42009]|0)|0;c[f>>2]=c[4489];pL(d,81834,f)|0;fm(h,d)|0;fm(h,(k|0)==0?81784:k)|0;fm(h,81851)|0;d=h+4|0;b=c[d>>2]|0;if(b>>>0>=(c[h+8>>2]|0)>>>0){dm(h,1)|0;b=c[d>>2]|0}a[b>>0]=0;b=c[h>>2]|0;c[d>>2]=b;c[i>>2]=b;_l(0,81876,i)|0;gm(h);b=1}l=j;return b|0}function np(){var b=0;b=c[42023]|0;if(!b){b=ZI(1024)|0;c[42023]=b;c[42025]=b+1024}c[42024]=b;a[b>>0]=0;return}function op(){c[42037]=$o(c[41987]|0,c[42023]|0)|0;a[c[42023]>>0]=0;return}function pp(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;e=c[42024]|0;d=c[42023]|0;if(e>>>0>d>>>0){e=e+-1|0;f=3}a:while(1){if((f|0)==3)c[42024]=e;f=c[42025]|0;g=f;do{h=b;b=b+1|0;h=a[h>>0]|0;i=e;e=e+1|0;a[i>>0]=h;if(!(h<<24>>24))break a}while(e>>>0<f>>>0);c[42024]=e;f=d;i=g-f<<1;d=aJ(d,i)|0;c[42023]=d;c[42025]=d+i;e=d+(e-f)|0;f=3}c[42024]=e;return}function qp(){c[42037]=ap(c[41987]|0,c[42023]|0)|0;a[c[42023]>>0]=0;return}function rp(){var d=0,e=0,f=0,g=0,h=0;h=c[42018]|0;g=c[42009]|0;e=(c[(c[c[42017]>>2]|0)+28>>2]|0)+(c[42016]|0)|0;while(1){if(g>>>0>=h>>>0)break;d=a[g>>0]|0;if(!(d<<24>>24))d=1;else d=c[17960+((d&255)<<2)>>2]|0;if(b[56680+(e<<1)>>1]|0){c[42019]=e;c[42020]=g}a:while(1){f=d&255;do{d=f+(b[56866+(e<<1)>>1]|0)|0;if((e|0)==(b[57076+(d<<1)>>1]|0))break a;d=b[57612+(e<<1)>>1]|0;e=d<<16>>16}while(d<<16>>16<=92);d=c[18984+(f<<2)>>2]|0}g=g+1|0;e=b[57822+(d<<1)>>1]|0}return e|0}function sp(a){a=a|0;var d=0;if(b[56680+(a<<1)>>1]|0){d=c[42018]|0;c[42019]=a;c[42020]=d}while(1){d=(b[56866+(a<<1)>>1]|0)+1|0;if((a|0)==(b[57076+(d<<1)>>1]|0))break;a=b[57612+(a<<1)>>1]|0}d=b[57822+(d<<1)>>1]|0;return (d<<16>>16==92?0:d<<16>>16)|0}function tp(){var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;j=c[42017]|0;g=c[j>>2]|0;i=c[g+4>>2]|0;f=c[42009]|0;l=c[42018]|0;k=l;if(l>>>0>(i+((c[42022]|0)+1)|0)>>>0)up(81637);h=k-f|0;if(!(c[g+40>>2]|0))b=(h|0)==1?1:2;else{l=h+-1|0;h=i;g=0;while(1){if((g|0)>=(l|0))break;a[h>>0]=a[f>>0]|0;h=h+1|0;f=f+1|0;g=g+1|0}f=c[j>>2]|0;do if((c[f+44>>2]|0)==2){c[42022]=0;c[f+16>>2]=0;e=f;m=17}else{while(1){i=f+12|0;h=c[i>>2]|0;g=h-l+-1|0;if(g|0){m=16;break}g=f+4|0;j=c[g>>2]|0;if(!(c[f+20>>2]|0)){m=12;break}f=h<<1;f=(f|0)==0?(h>>>3)+h|0:f;c[i>>2]=f;f=vp(j,f+2|0)|0;c[g>>2]=f;if(!f)break;j=f+(k-j)|0;c[42018]=j;f=c[c[42017]>>2]|0;k=j}if((m|0)==12)c[g>>2]=0;else if((m|0)==16){d=bb[c[c[(c[42012]|0)+8>>2]>>2]&31](c[42013]|0,(c[f+4>>2]|0)+l|0,g>>>0<8192?g:8192)|0;e=c[c[42017]>>2]|0;c[42022]=d;c[e+16>>2]=d;if(!d){m=17;break}else{b=0;break}}up(81693)}while(0);do if((m|0)==17)if(!l){wp(c[42007]|0);b=1;d=c[42022]|0;e=c[c[42017]>>2]|0;break}else{c[e+44>>2]=2;b=2;d=0;break}while(0);f=d+l|0;do if(f>>>0>(c[e+12>>2]|0)>>>0){m=vp(c[e+4>>2]|0,f+(d>>>1)|0)|0;d=c[42017]|0;c[(c[d>>2]|0)+4>>2]=m;d=c[(c[d>>2]|0)+4>>2]|0;if(!d)up(81737);else{n=c[42022]|0;o=d;break}}else{n=d;o=c[e+4>>2]|0}while(0);n=n+l|0;c[42022]=n;a[o+n>>0]=0;o=c[42017]|0;a[(c[(c[o>>2]|0)+4>>2]|0)+((c[42022]|0)+1)>>0]=0;c[42009]=c[(c[o>>2]|0)+4>>2]}return b|0}function up(a){a=a|0;var b=0,d=0;b=l;l=l+16|0;d=c[13918]|0;c[b>>2]=a;zL(d,81633,b)|0;Ma(2)}function vp(a,b){a=a|0;b=b|0;return aJ(a,b)|0}function wp(a){a=a|0;var b=0,d=0,e=0;d=c[42017]|0;if((d|0)!=0?(b=c[d>>2]|0,(b|0)!=0):0)e=4;else{ip();b=jp(c[42007]|0,16384)|0;d=c[42017]|0;c[d>>2]=b;if(!d)b=0;else e=4}xp(b,a);kp();return}function xp(a,b){a=a|0;b=b|0;var d=0;d=c[(jJ()|0)>>2]|0;yp(a);c[a>>2]=b;c[a+40>>2]=1;b=c[42017]|0;if(!b)b=0;else b=c[b>>2]|0;if((b|0)!=(a|0)){c[a+32>>2]=1;c[a+36>>2]=0}c[a+24>>2]=0;c[(jJ()|0)>>2]=d;return}function yp(b){b=b|0;var d=0;if(b|0){c[b+16>>2]=0;d=b+4|0;a[c[d>>2]>>0]=0;a[(c[d>>2]|0)+1>>0]=0;c[b+8>>2]=c[d>>2];c[b+28>>2]=1;c[b+44>>2]=0;d=c[42017]|0;if(!d)d=0;else d=c[d>>2]|0;if((d|0)==(b|0))kp()}return}function zp(){var b=0,d=0;d=c[42009]|0;b=(c[42010]|0)+-2|0;while(1){if((b|0)<=-1){b=0;break}if((a[d+b>>0]|0)==46){b=1;break}else b=b+-1|0}return b|0}function Ap(a,b){a=a|0;b=b|0;var d=0;d=c[42026]|0;if((d|0)<(b|0)){if(!d)d=ZI(b+1|0)|0;else d=aJ(c[42027]|0,b+1|0)|0;c[42027]=d;c[42026]=b}else d=c[42027]|0;xK(d,a)|0;c[42011]=c[42027];return}function Bp(a){a=a|0;return ZI(a)|0}function Cp(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+2112|0;k=m+32|0;i=m+24|0;h=m+16|0;g=m+8|0;f=m;d=m+56|0;j=m+40|0;cm(j,1024,m+1080|0);e=c[42011]|0;if(e|0){fm(j,e)|0;fm(j,81990)|0}fm(j,b)|0;c[f>>2]=c[4489];pL(d,81993,f)|0;fm(j,d)|0;a:do if(!(a[c[42009]>>0]|0))switch(((c[42016]|0)+-1|0)/2|0|0){case 2:{c[g>>2]=16384;pL(d,82013,g)|0;fm(j,d)|0;b=c[42023]|0;if(!(a[b>>0]|0))break a;i=rJ(b)|0;fm(j,82075)|0;b=c[42023]|0;if((i|0)>80)a[b+80>>0]=0;fm(j,b)|0;break a}case 3:{c[h>>2]=16384;pL(d,82094,h)|0;fm(j,d)|0;b=c[42023]|0;if(!(a[b>>0]|0))break a;i=rJ(b)|0;fm(j,82162)|0;b=c[42023]|0;if((i|0)>80)a[b+80>>0]=0;fm(j,b)|0;break a}case 1:{c[i>>2]=16384;pL(d,82181,i)|0;fm(j,d)|0;break a}default:break a}else{fm(j,82005)|0;fm(j,c[42009]|0)|0;d=j+4|0;b=c[d>>2]|0;if(b>>>0>=(c[j+8>>2]|0)>>>0){dm(j,1)|0;b=c[d>>2]|0}c[d>>2]=b+1;a[b>>0]=39}while(0);e=j+4|0;b=c[e>>2]|0;d=j+8|0;if(b>>>0>=(c[d>>2]|0)>>>0){dm(j,1)|0;b=c[e>>2]|0}c[e>>2]=b+1;a[b>>0]=10;b=c[e>>2]|0;if(b>>>0>=(c[d>>2]|0)>>>0){dm(j,1)|0;b=c[e>>2]|0}a[b>>0]=0;i=c[j>>2]|0;c[e>>2]=i;c[k>>2]=i;_l(1,81876,k)|0;gm(j);l=m;return}function Dp(){Ep(c[42009]|0);return}function Ep(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;j=c[42018]|0;a[j>>0]=a[173927]|0;i=c[42017]|0;e=c[i>>2]|0;d=c[e+4>>2]|0;if(j>>>0<(d+2|0)>>>0){f=d+((c[42022]|0)+2)|0;g=d+((c[e+12>>2]|0)+2)|0;k=d;h=e;while(1){if(f>>>0<=k>>>0)break;e=f+-1|0;k=g+-1|0;a[k>>0]=a[e>>0]|0;h=c[i>>2]|0;f=e;g=k;k=c[h+4>>2]|0}e=g-f|0;d=j+e|0;j=c[h+12>>2]|0;c[42022]=j;c[h+16>>2]=j;if(d>>>0<(k+2|0)>>>0)up(82240);else{l=b+e|0;m=d}}else{l=b;m=j}b=m+-1|0;a[b>>0]=64;c[42009]=l;a[173927]=a[b>>0]|0;c[42018]=b;return}function Fp(){var a=0;a=c[42017]|0;if(!a)a=0;else a=c[a>>2]|0;yp(a);return}function Gp(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;e=l;l=l+80|0;f=e;g=a+52|0;Sp(a,c[g>>2]|0,17604);a=f+8|0;c[a>>2]=b;c[a+4>>2]=d;d=c[g>>2]|0;d=bb[c[d>>2]&31](d,f,4)|0;l=e;return d|0}function Hp(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;f=Gp(b,d,e)|0;if(!f){f=Yn(b,72)|0;c[f+64>>2]=c[b+64>>2];g=f+24|0;h=c[b+24>>2]|0;c[g>>2]=h;a[g>>0]=h&255&-9;c[f+56>>2]=b;c[f+60>>2]=c[b+60>>2];b=f+8|0;c[b>>2]=d;c[b+4>>2]=e;jn(f)|0}return f|0}function Ip(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;g=l;l=l+16|0;f=g;if(!(((b|0)!=0?(An(a,0,b,f,0)|0)!=0:0)?(e=f,e=Gp(a,c[e>>2]|0,c[e+4>>2]|0)|0,(e|0)!=0):0))if((d|0)!=0?(An(a,0,b,f,1)|0)!=0:0){e=f;e=Hp(a,c[e>>2]|0,c[e+4>>2]|0)|0;En(a,0,e)}else e=0;l=g;return e|0}function Jp(a){a=a|0;a=c[a+52>>2]|0;return bb[c[a>>2]&31](a,0,128)|0}function Kp(a){a=a|0;var b=0;b=Lp(a)|0;if(!b)a=0;else{b=c[b+52>>2]|0;a=bb[c[b>>2]&31](b,a,8)|0}return a|0}function Lp(a){a=a|0;return c[a+56>>2]|0}function Mp(a,b){a=a|0;b=b|0;a=c[a+52>>2]|0;return bb[c[a>>2]&31](a,b,2)|0}function Np(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;a=c[42029]|0;e=(b|0)!=0;do if(!a)if(e){_I(b);a=0;break}else{a=ZI(d)|0;break}else if(e){Zn(a,b);a=0;break}else{a=Yn(a,d)|0;break}while(0);return a|0}function Op(a,b,d){a=a|0;b=b|0;d=d|0;a=c[42029]|0;if(!a)_I(b);else Zn(a,b);return}function Pp(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=b+28|0;f=c[e>>2]|0;c[e>>2]=2;c[42029]=a;d=Ql(b,d)|0;c[e>>2]=f;c[42029]=0;return d|0}function Qp(a,b,d){a=a|0;b=b|0;d=d|0;c[42029]=a;return bb[c[b>>2]&31](b,d,2)|0}function Rp(a,b){a=a|0;b=b|0;var d=0,e=0;d=(Ll(b,0,0)|0)+28|0;e=c[d>>2]|0;c[d>>2]=2;c[42029]=a;if(!(Kl(b)|0)){c[d>>2]=e;c[42029]=0;a=0}else a=1;return a|0}function Sp(a,b,c){a=a|0;b=b|0;c=c|0;if(c|0?(Ll(b,0,0)|0)!=(c|0):0)Ll(b,c,0)|0;return}function Tp(a,b){a=a|0;b=b|0;if(!(cp(a)|0))b=Vp(a,b)|0;else Up(a,b)|0;return b|0}function Up(b,c){b=b|0;c=c|0;var d=0,e=0,f=0;a[c>>0]=60;e=c;while(1){d=e+1|0;f=a[b>>0]|0;if(!(f<<24>>24))break;a[d>>0]=f;b=b+1|0;e=d}a[d>>0]=62;a[e+2>>0]=0;return c|0}function Vp(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0;a:do if((b|0)!=0?(a[b>>0]|0)!=0:0){a[d>>0]=34;l=a[b>>0]|0;q=0;g=((l+-45&255)<2|((l&255)+-48|0)>>>0<10)&1;h=0;i=0;j=0;e=d+1|0;f=b+1|0;b:while(1){k=e;while(1){if(!(l<<24>>24))break b;e=l&255;c:do if(l<<24>>24==34){a[k>>0]=92;m=g;n=1;k=k+1|0}else{if(!g){n=l<<24>>24>-1&(l<<24>>24!=95&(gK(e)|0)==0);m=0;n=n?1:h;break}switch(l<<24>>24){case 45:{n=(j|0)==0;m=n?g:0;n=n?h:1;break c}case 46:{n=(i|0)==0;m=n?g:0;n=n?h:1;i=i+1|0;break c}default:{n=(e+-48|0)>>>0<10;m=n?g:0;n=n?h:1;break c}}}while(0);e=k+1|0;a[k>>0]=l;p=f+1|0;o=a[f>>0]|0;j=j+1|0;f=c[4795]|0;if(!f){g=m;h=n;k=e;f=p;l=o;continue}g=o&255;h=o<<24>>24!=0;if((q&h?!(l<<24>>24==92|l<<24>>24>-1&((l+-45&255)>1&(gK(l<<24>>24)|0)==0)^1):0)?!(o<<24>>24>-1&((o+-45&255)>1&(gK(g)|0)==0)):0)break;if((j|0)<(f|0)|h^1){g=m;h=n;k=e;f=p;l=o;continue}if(l<<24>>24==92|l<<24>>24>-1&((gK(l<<24>>24)|0)==0&(l+-45&255)>1)^1){q=1;g=m;h=n;l=o;f=p;continue b}if(o<<24>>24>-1&((o+-45&255)>1&(gK(g)|0)==0)){q=1;g=m;h=n;l=o;f=p;continue b}a[e>>0]=92;a[k+2>>0]=10;g=m;h=1;j=0;k=k+3|0;f=p;l=o}a[e>>0]=92;a[k+2>>0]=10;q=0;g=m;h=1;j=0;l=o;e=k+3|0;f=p}a[k>>0]=34;a[k+1>>0]=0;if(!h){if((j|0)==1?((a[b>>0]|0)+-45&255)<2:0){b=d;break}else e=19184;while(1){f=c[e>>2]|0;if(!f)break a;if(!(iK(f,b)|0)){b=d;break}else e=e+4|0}}else b=d}else b=82272;while(0);return b|0}function Wp(a){a=a|0;return Tp(a,Xp(a)|0)|0}function Xp(a){a=a|0;var b=0;b=((rJ(a)|0)<<1)+2|0;b=b>>>0>1024?b:1024;a=c[42031]|0;if(b>>>0>(c[42030]|0)>>>0){if(!a)a=ZI(b)|0;else a=aJ(a,b)|0;c[42031]=a;c[42030]=b}return a|0}function Yp(a,b){a=a|0;b=b|0;a=Jp(a)|0;while(1){if(!a){a=0;break}if((Zp(a)|0)==0?io(a,b,0)|0:0){a=1;break}a=Kp(a)|0}return a|0}function Zp(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;h=Dn(b)|0;if((h|0)!=0?(a[h>>0]|0)!=37:0)d=0;else e=3;a:do if((e|0)==3){d=om(b)|0;b:do if(d|0?(f=om(Lp(b)|0)|0,f|0):0){h=Sl(c[(om(so(b)|0)|0)+8>>2]|0)|0;g=d+12|0;e=f+12|0;d=0;while(1){if((d|0)>=(h|0))break b;f=c[(c[g>>2]|0)+(d<<2)>>2]|0;if((f|0?(i=c[(c[e>>2]|0)+(d<<2)>>2]|0,i|0):0)?xJ(f,i)|0:0){d=0;break a}d=d+1|0}}while(0);d=jm(b,0)|0;if(d)if((Sl(c[d+8>>2]|0)|0)>0)d=0;else return (Sl(c[d+12>>2]|0)|0)<1|0;else d=1}while(0);return d|0}function _p(b,d){b=b|0;d=d|0;var e=0,f=0;c[42032]=0;e=Im(b,82282)|0;if((e|0?((a[e>>0]|0)+-48|0)>>>0<10:0)?(f=BL(e,0,10)|0,(f|0)==0|(f|0)>59):0)c[4795]=f;$p(b,1);if(((aq(b,d,1)|0)!=-1?(bq(b,d)|0)!=-1:0)?(cq(b,d)|0)!=-1:0){c[4795]=128;b=$a[c[(c[(c[b+64>>2]|0)+8>>2]|0)+8>>2]&31](d)|0}else b=-1;return b|0}function $p(a,b){a=a|0;b=b|0;var d=0;c[a>>2]=c[a>>2]&-9;d=Jp(a)|0;while(1){if(!d)break;$p(d,0);d=Kp(d)|0}a:do if(b|0){b=co(a)|0;while(1){if(!b)break a;c[b>>2]=c[b>>2]&-9;d=Pm(a,b)|0;while(1){if(!d)break;c[d>>2]=c[d>>2]&-9;d=Rm(a,d)|0}b=eo(a,b)|0}}while(0);return}function aq(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;if((e|0)==0?(Lp(b)|0)!=0:0){i=0;g=174181;k=94336}else{k=(a[b+24>>0]&1)==0?174181:82326;g=(sn(b)|0)==0;c[42033]=ym(b,2,96242,0)|0;c[42034]=ym(b,2,96251,0)|0;i=1;g=g?174181:82329}f=Dn(b)|0;if((f|0)!=0?(a[f>>0]|0)!=37:0){h=1;j=87638}else{h=0;j=174181;f=174181}do if((dq(b,d)|0)!=-1?(eq(b,d,g)|0)!=-1:0){g=(h|0)==0;if(h|i|0){if((eq(b,d,k)|0)==-1){f=-1;break}if((eq(b,d,87631)|0)==-1){f=-1;break}}if(!g?(pq(b,d,f)|0)==-1:0){f=-1;break}if(((eq(b,d,j)|0)!=-1?(eq(b,d,82337)|0)!=-1:0)?(c[42032]=(c[42032]|0)+1,(uq(b,d,e)|0)!=-1):0){c[b>>2]=c[b>>2]|8;f=0}else f=-1}else f=-1;while(0);return f|0}function bq(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;a:do if((fq(a,b)|0)==-1)d=-1;else{k=jm(so(a)|0,0)|0;i=(k|0)==0;j=k+12|0;k=k+8|0;h=co(a)|0;while(1){if(!h){d=0;break a}if(gq(a,h,(c[h>>2]|0)>>>4,0)|0){if(i)d=0;else d=c[k>>2]|0;if((hq(h,b,d)|0)==-1){d=-1;break a}}g=Pm(a,h)|0;d=h;while(1){if(!g)break;f=g+-48|0;e=c[((c[g>>2]&3|0)==2?g:f)+40>>2]|0;if((d|0)!=(e|0)?(gq(a,e,(c[h>>2]|0)>>>4,0)|0)!=0:0){if(i)d=0;else d=c[k>>2]|0;if((hq(c[((c[g>>2]&3|0)==2?g:f)+40>>2]|0,b,d)|0)==-1){d=-1;break a}d=c[((c[g>>2]&3|0)==2?g:f)+40>>2]|0}if(iq(a,g)|0){if(i)e=0;else e=c[j>>2]|0;if((jq(g,b,e)|0)==-1){d=-1;break a}}g=Rm(a,g)|0}h=eo(a,h)|0}}while(0);return d|0}function cq(a,b){a=a|0;b=b|0;c[42032]=(c[42032]|0)+-1;if((dq(a,b)|0)==-1)a=-1;else a=((eq(a,b,95830)|0)==-1)<<31>>31;return a|0}function dq(a,b){a=a|0;b=b|0;var d=0;d=c[42032]|0;while(1){if((d|0)<=0){d=0;break}if((eq(a,b,134899)|0)==-1){d=-1;break}else d=d+-1|0}return d|0}function eq(a,b,d){a=a|0;b=b|0;d=d|0;return ab[c[(c[(c[a+64>>2]|0)+8>>2]|0)+4>>2]&63](b,d)|0}function fq(a,b){a=a|0;b=b|0;a=Jp(a)|0;while(1){if(!a){a=0;break}if(!(Zp(a)|0)){if((aq(a,b,0)|0)==-1){a=-1;break}if((bq(a,b)|0)==-1){a=-1;break}if((cq(a,b)|0)==-1){a=-1;break}}else fq(a,b)|0;a=Kp(a)|0}return a|0}function gq(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0;if((Yp(a,b)|0)==0?(rq(a,b,c,d)|0)!=0:0)if((sq(a,b)|0)==0?(tq(b)|0)==0:0)e=5;else a=1;else e=5;if((e|0)==5)a=0;return a|0}function hq(a,b,c){a=a|0;b=b|0;c=c|0;var d=0;d=ro(a)|0;do if((dq(d,b)|0)!=-1?(kq(a,b)|0)!=-1:0){if((mq(a)|0)==0?(nq(a,b,c)|0)==-1:0){a=-1;break}a=eq(d,b,82293)|0}else a=-1;while(0);return a|0}function iq(a,b){a=a|0;b=b|0;a=Jp(a)|0;while(1){if(!a){a=1;break}if((Zp(a)|0)==0?en(a,b,0)|0:0){a=0;break}a=Kp(a)|0}return a|0}function jq(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;e=c[a>>2]&3;g=c[((e|0)==3?a:a+48|0)+40>>2]|0;e=c[((e|0)==2?a:a+-48|0)+40>>2]|0;f=ro(g)|0;do if((((((dq(f,b)|0)!=-1?(kq(g,b)|0)!=-1:0)?(lq(a,b,c[42033]|0)|0)!=-1:0)?(g=(qn(ro(g)|0)|0)!=0,(eq(f,b,g?85095:85100)|0)!=-1):0)?(kq(e,b)|0)!=-1:0)?(lq(a,b,c[42034]|0)|0)!=-1:0){if(!(mq(a)|0)){if((nq(a,b,d)|0)==-1){a=-1;break}}else if((oq(a,b,1)|0)==-1){a=-1;break}a=eq(f,b,82293)|0}else a=-1;while(0);return a|0}function kq(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0;i=l;l=l+32|0;g=i;d=i+8|0;e=Dn(a)|0;f=ro(a)|0;if(!e){j=a+8|0;a=c[j+4>>2]|0;e=g;c[e>>2]=c[j>>2];c[e+4>>2]=a;pL(d,82313,g)|0;if((eq(f,b,d)|0)==-1)a=-1;else h=4}else if((pq(f,b,e)|0)==-1)a=-1;else h=4;if((h|0)==4)a=0;l=i;return a|0}function lq(b,c,d){b=b|0;c=c|0;d=d|0;var e=0,f=0;a:do if((d|0)!=0?(e=ro(b)|0,f=Jm(b,d)|0,(a[f>>0]|0)!=0):0)if((eq(e,c,93017)|0)==-1)b=-1;else{do if(cp(f)|0){if((pq(e,c,f)|0)==-1){b=-1;break a}}else{b=WJ(f,58)|0;if(!b)if((qq(e,c,f,0)|0)==-1){b=-1;break a}else break;a[b>>0]=0;if((qq(e,c,f,0)|0)==-1){b=-1;break a}if((eq(e,c,93017)|0)==-1){b=-1;break a}if((qq(e,c,b+1|0,0)|0)==-1){b=-1;break a}a[b>>0]=58}while(0);b=0}else b=0;while(0);return b|0}function mq(a){a=a|0;return (c[a>>2]|0)>>>3&1|0}function nq(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;a:do if(!(c[a>>2]&2)){e=0;k=4}else{switch(oq(a,b,0)|0){case -1:{e=-1;break a}case 0:{e=0;k=4;break a}default:{}}e=1;k=4}while(0);b:do if((k|0)==4){f=om(a)|0;j=ro(a)|0;c:do if(f){i=f+12|0;h=bb[c[d>>2]&31](d,0,128)|0;while(1){if(!h)break c;do if(c[a>>2]&2){g=c[42033]|0;if(g|0?(c[h+16>>2]|0)==(c[g+16>>2]|0):0)break;g=c[42034]|0;if(!((g|0)!=0?(c[h+16>>2]|0)==(c[g+16>>2]|0):0))k=12}else k=12;while(0);if((k|0)==12){k=0;f=h+16|0;if((c[(c[i>>2]|0)+(c[f>>2]<<2)>>2]|0)!=(c[h+12>>2]|0)){g=e+1|0;if(e){if((eq(j,b,82308)|0)==-1){e=-1;break b}if((dq(j,b)|0)==-1){e=-1;break b}}else{if((dq(j,b)|0)==-1){e=-1;break b}if((eq(j,b,82305)|0)==-1){e=-1;break b}c[42032]=(c[42032]|0)+1}if((pq(j,b,c[h+8>>2]|0)|0)==-1){e=-1;break b}if((eq(j,b,82311)|0)==-1){e=-1;break b}if((pq(j,b,c[(c[i>>2]|0)+(c[f>>2]<<2)>>2]|0)|0)==-1){e=-1;break b}else e=g}}h=bb[c[d>>2]&31](d,h,8)|0}}while(0);if((e|0)>0){if((eq(j,b,82303)|0)==-1){e=-1;break}c[42032]=(c[42032]|0)+-1}c[a>>2]=c[a>>2]|8;e=0}while(0);return e|0}function oq(b,c,d){b=b|0;c=c|0;d=d|0;var e=0,f=0;e=Dn(b)|0;b=ro(b)|0;if((e|0)!=0?(a[e>>0]|0)!=0:0)if((eq(b,c,82296)|0)!=-1?(pq(b,c,e)|0)!=-1:0)if((d|0)!=0?(eq(b,c,82303)|0)==-1:0)b=-1;else{b=1;f=7}else b=-1;else{b=0;f=7}return b|0}function pq(a,b,c){a=a|0;b=b|0;c=c|0;return qq(a,b,c,1)|0}function qq(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;if(!d)c=Vp(c,Xp(c)|0)|0;else c=Wp(c)|0;return eq(a,b,c)|0}function rq(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;a:do if(0<e>>>0|(0==(e|0)?(c[b>>2]|0)>>>4>>>0<d>>>0:0))b=0;else{b=Sm(a,b)|0;while(1){if(!b){b=1;break a}if(0<e>>>0|(0==(e|0)?(c[c[b+40>>2]>>2]|0)>>>4>>>0<d>>>0:0)){b=0;break a}b=Tm(a,b)|0}}while(0);return b|0}function sq(a,b){a=a|0;b=b|0;if(!(Sm(a,b)|0))a=(Pm(a,b)|0)==0&1;else a=0;return a|0}function tq(a){a=a|0;var b=0,d=0,e=0;a=om(a)|0;a:do if(!a)a=0;else{d=a+8|0;e=c[d>>2]|0;b=a+12|0;a=bb[c[e>>2]&31](e,0,128)|0;while(1){if(!a){a=0;break a}if((c[(c[b>>2]|0)+(c[a+16>>2]<<2)>>2]|0)!=(c[a+12>>2]|0)){a=1;break a}e=c[d>>2]|0;a=bb[c[e>>2]&31](e,a,8)|0}}while(0);return a|0}function uq(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=jm(a,0)|0;if(e)if(((vq(a,b,96286,c[e+16>>2]|0,d)|0)!=-1?(vq(a,b,96273,c[e+8>>2]|0,d)|0)!=-1:0)?(vq(a,b,96237,c[e+12>>2]|0,d)|0)!=-1:0)f=5;else a=-1;else f=5;if((f|0)==5)a=0;return a|0}function vq(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;m=(g|0)!=0;if(m)l=0;else l=Wl(f,0)|0;k=(l|0)==0;j=bb[c[f>>2]&31](f,0,128)|0;g=0;while(1){if(!j){n=23;break}i=j+12|0;n=c[i>>2]|0;if((n|0)!=0?(a[n>>0]|0)!=0:0)n=12;else n=7;do if((n|0)==7){n=0;if(!(a[j+22>>0]|0)){if(!k){h=bb[c[l>>2]&31](l,j,4)|0;o=c[h+12>>2]|0;if(o|0?a[o>>0]|0:0){n=12;break}if(!(a[h+22>>0]|0))n=12}}else n=12}while(0);if((n|0)==12){n=0;h=g+1|0;if(g){if((eq(b,d,82308)|0)==-1){g=-1;break}if((dq(b,d)|0)==-1){g=-1;break}}else{if((dq(b,d)|0)==-1){g=-1;break}if((eq(b,d,e)|0)==-1){g=-1;break}if((eq(b,d,82305)|0)==-1){g=-1;break}c[42032]=(c[42032]|0)+1}if((pq(b,d,c[j+8>>2]|0)|0)==-1){g=-1;break}if((eq(b,d,82311)|0)==-1){g=-1;break}if((pq(b,d,c[i>>2]|0)|0)==-1){g=-1;break}else g=h}j=bb[c[f>>2]&31](f,j,8)|0}do if((n|0)==23){if((g|0)>0){c[42032]=(c[42032]|0)+-1;if((g|0)!=1){if((eq(b,d,134901)|0)==-1){g=-1;break}if((dq(b,d)|0)==-1){g=-1;break}}g=(eq(b,d,82340)|0)==-1;if(m|g){g=g<<31>>31;break}}else if(m){g=0;break}Wl(f,l)|0;g=0}while(0);return g|0}function wq(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0;switch(c[b>>2]&3){case 0:{g=19;break}case 1:{g=20;break}case 3:case 2:{g=21;break}default:{}}b=ab[g&63](a,b)|0;if(!b)b=-1;else{Aq(a,b,d,e,g,f);b=0}return b|0}function xq(a,b){a=a|0;b=b|0;if((ro(b)|0)!=(a|0))b=en(a,b,0)|0;return b|0}function yq(a,b){a=a|0;b=b|0;if((ro(b)|0)!=(a|0))b=io(a,b,0)|0;return b|0}function zq(a,b){a=a|0;b=b|0;return a|0}function Aq(a,b,c,d,e,f){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0;h=(f|0)!=0;if(h)ib[c&127](a,b,d);g=Jp(a)|0;while(1){if(!g)break;i=ab[e&63](g,b)|0;if(i|0)Aq(g,i,c,d,e,f);g=Kp(g)|0}if(!h)ib[c&127](a,b,d);return}function Bq(){var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;t=l;l=l+1200|0;r=t+800|0;g=t;c[42035]=0;c[42036]=-2;f=r;i=200;n=g;p=0;q=0;o=r;a:while(1){b[o>>1]=p;if((f+(i<<1)+-2|0)>>>0>o>>>0)k=i;else{m=o-f>>1;e=m+1|0;if(i>>>0>9999){s=75;break}k=i<<1;k=k>>>0<1e4?k:1e4;h=ZI(k*6|3)|0;if(h){TN(h|0,f|0,e<<1|0)|0;i=h+(k>>>1<<2)|0;TN(i|0,n|0,e<<2|0)|0;if((f|0)==(r|0)){e=0;f=h}else{_I(f);e=0;f=h}}else{e=4;i=n}j=(e|0)==0;h=f+(m<<1)|0;switch((j?((f+(k<<1)+-2|0)>>>0>h>>>0?0:9):e)&15){case 9:{e=1;s=76;break a}case 4:{s=75;break a}case 0:{g=j?i+(m<<2)|0:g;n=i;o=j?h:o;break}default:{e=0;break a}}}if((p|0)==6){e=0;s=76;break}e=a[82344+p>>0]|0;j=e<<24>>24;do if(e<<24>>24!=-18){h=c[42036]|0;if((h|0)==-2){h=hp()|0;c[42036]=h}if((h|0)>=1)if(h>>>0<269)i=d[82424+h>>0]|0;else i=2;else{c[42036]=0;i=0}h=i+j|0;if(h>>>0<=59?(i|0)==(d[82693+h>>0]|0):0){p=a[82753+h>>0]|0;e=p<<24>>24;if(p<<24>>24<1){h=0-e|0;s=23;break}else{c[42036]=-2;g=g+4|0;c[g>>2]=c[42037];j=(q|0)==0?0:q+-1|0;h=o;break}}else s=22}else s=22;while(0);if((s|0)==22){s=0;p=a[82813+p>>0]|0;h=p&255;if(!(p<<24>>24)){h=c[42036]|0;b:do switch(q|0){case 0:{c[42035]=(c[42035]|0)+1;Cp(125369);h=o;break}case 3:if((h|0)<1)if(!h){e=1;s=76;break a}else{h=o;break b}else{c[42036]=-2;h=o;break b}default:h=o}while(0);while(1){if(e<<24>>24==18)break;if((h|0)==(f|0)){e=1;s=76;break a}e=h+-2|0;g=g+-4|0;h=e;e=a[82344+(b[e>>1]|0)>>0]|0}g=g+4|0;c[g>>2]=c[42037];e=1;j=3}else s=23}do if((s|0)==23){s=0;i=d[82893+h>>0]|0;e=c[g+(1-i<<2)>>2]|0;c:do switch(h|0){case 2:{Cq();Dq();break}case 3:{if(c[42038]|0){Cq();Dq();ln(c[42038]|0)|0;c[41987]=0;c[42038]=0}break}case 6:{Eq(c[g>>2]|0,c[g+-4>>2]|0,c[g+-8>>2]|0);break}case 7:{e=c[g>>2]|0;break}case 8:{e=0;break}case 9:{e=1;break}case 10:{e=0;break}case 11:{e=0;break}case 12:{e=1;break}case 21:if(!(c[g+-4>>2]|0)){Gq();break c}else{Fq();break c}case 24:{Hq();break}case 25:{Hq();break}case 26:{e=1;break}case 27:{e=0;break}case 30:{Iq(c[g>>2]|0,0,0);break}case 31:{Iq(c[g+-8>>2]|0,c[g>>2]|0,0);break}case 32:{Iq(c[g+-16>>2]|0,c[g+-8>>2]|0,c[g>>2]|0);break}case 33:{Jq(c[g+-8>>2]|0,c[g+-4>>2]|0);break}case 34:{Jq(258,0);break}case 35:{e=258;break}case 36:{e=259;break}case 37:{e=260;break}case 38:{e=c[g+-4>>2]|0;break}case 39:{e=0;break}case 48:{Kq(c[g+-8>>2]|0,c[g>>2]|0);break}case 49:{Kq(c[g>>2]|0,0);break}case 51:{Lq(c[g>>2]|0);break}case 52:{Mq();break}case 53:{e=c[g>>2]|0;break}case 54:{e=0;break}case 55:{e=0;break}case 59:{e=c[g>>2]|0;break}case 60:{e=c[g>>2]|0;break}case 61:{e=c[g>>2]|0;break}case 62:{e=Nq(c[g+-8>>2]|0,c[g>>2]|0)|0;break}default:{}}while(0);i=0-i|0;p=g+(i<<2)|0;i=o+(i<<1)|0;g=p+4|0;c[p+4>>2]=e;e=(d[82956+h>>0]|0)+-24|0;p=b[i>>1]|0;h=p+(a[83019+e>>0]|0)|0;if(h>>>0<60?(d[82693+h>>0]|0)==(p|0):0){e=a[82753+h>>0]|0;j=q;h=i;break}e=a[83054+e>>0]|0;j=q;h=i}while(0);i=k;p=e;q=j;o=h+2|0}if((s|0)==75){Cp(125382);e=2;s=76}if((s|0)==76)if((f|0)!=(r|0))_I(f);l=t;return e|0}function Cq(){var a=0,b=0;a=c[42039]|0;while(1){if(!a)break;Vq(a+8|0);Vq((c[42039]|0)+24|0);Vq((c[42039]|0)+16|0);b=Oq(c[42039]|0)|0;c[42039]=b;a=b}return}function Dq(){Dp();Mn(c[42038]|0);return}function Eq(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;h=l;l=l+16|0;g=h;f=c[42038]|0;if(!f){a[168160]=d&1|(e&255)<<1&2|a[168160]&-12|8;f=c[42041]|0;a[g>>0]=a[168160]|0;a[g+1>>0]=a[168161]|0;a[g+2>>0]=a[168162]|0;a[g+3>>0]=a[168163]|0;f=gn(b,g,f)|0;c[42038]=f}c[41987]=f;c[42039]=Pq(c[42039]|0,f)|0;bp(0,b)|0;l=h;return}function Fq(){var b=0,d=0,e=0,f=0,g=0,h=0;Uq(2);e=c[42039]|0;f=a[83089]|0;h=0;b=e+24|0;while(1){d=c[b>>2]|0;if(!d)break;if(((c[d>>2]|0)==267?(g=c[d+4>>2]|0,(a[g>>0]|0)==f<<24>>24):0)?(xJ(g,83089)|0)==0:0)b=c[d+8>>2]|0;else b=h;h=b;b=d+12|0}b=e+16|0;a:while(1){e=c[b>>2]|0;b=e+12|0;if(!(c[b>>2]|0))break;d=e+4|0;if((c[e>>2]|0)==262){e=c[d>>2]|0;d=co(e)|0;while(1){if(!d)continue a;g=io(c[c[42039]>>2]|0,d,0)|0;ar(g,0,c[b>>2]|0,h);d=eo(e,d)|0}}else while(1){d=c[d>>2]|0;if(!d)continue a;ar(c[d+4>>2]|0,c[d+8>>2]|0,c[b>>2]|0,h);d=d+12|0}}Vq((c[42039]|0)+8|0);Vq((c[42039]|0)+16|0);Vq((c[42039]|0)+24|0);c[(c[42039]|0)+4>>2]=0;return}function Gq(){var a=0;Uq(1);a=(c[42039]|0)+8|0;while(1){a=c[a>>2]|0;if(!a)break;$q(c[a+4>>2]|0);a=a+12|0}Vq((c[42039]|0)+8|0);Vq((c[42039]|0)+24|0);Vq((c[42039]|0)+16|0);c[(c[42039]|0)+4>>2]=0;return}function Hq(){var a=0,b=0;a=c[42039]|0;b=c[a+8>>2]|0;if(!b){b=c[a+4>>2]|0;if(!b)b=0;else{b=_q(b)|0;a=c[42039]|0}c[a+4>>2]=0}else{b=Zq(b)|0;a=c[42039]|0;c[a+12>>2]=0;c[a+8>>2]=0}if(b|0)Rq(a+16|0,b);return}function Iq(a,b,d){a=a|0;b=b|0;d=d|0;if(d)b=Xq(b,d)|0;d=Yq(no(c[c[42039]>>2]|0,a,1)|0,b)|0;Rq((c[42039]|0)+8|0,d);bp(c[42038]|0,a)|0;return}function Jq(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;if(d|0)Tq();d=(c[42039]|0)+24|0;while(1){d=c[d>>2]|0;if(!d)break;if(!(c[d+8>>2]|0))Tq();d=d+12|0}g=(b|0)==260?2:(b|0)==259&1;Uq(g);b=c[42039]|0;d=b+24|0;while(1){f=c[d>>2]|0;if(!f)break;do if((c[f>>2]|0)!=267){d=c[f+4>>2]|0;e=c[b>>2]|0;if(!((a[d+21>>0]|0)!=0&(e|0)==(c[42038]|0))){d=ym(e,g,c[d+8>>2]|0,c[f+8>>2]|0)|0;b=c[42039]|0;if((c[b>>2]|0)!=(c[42038]|0))break}a[d+22>>0]=1}while(0);d=f+12|0}Vq(b+24|0);return}function Kq(a,b){a=a|0;b=b|0;b=Qq(a,b)|0;Rq((c[42039]|0)+24|0,b);return}function Lq(a){a=a|0;var b=0;b=c[42039]|0;c[42039]=Pq(b,Ip(c[b>>2]|0,a,1)|0)|0;bp(c[42038]|0,a)|0;return}function Mq(){var a=0,b=0;a=c[42039]|0;b=c[a>>2]|0;a=Oq(a)|0;c[42039]=a;c[a+4>>2]=b;return}function Nq(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;g=l;l=l+1024|0;f=g;d=rJ(a)|0;d=d+1+(rJ(b)|0)|0;if(d>>>0<1025)d=f;else d=ZI(d)|0;xK(d,a)|0;IL(d,b)|0;e=$o(c[42038]|0,d)|0;bp(c[42038]|0,a)|0;bp(c[42038]|0,b)|0;if((d|0)!=(f|0))_I(d);l=g;return e|0}function Oq(a){a=a|0;var b=0;b=c[(c[42039]|0)+32>>2]|0;Zn(c[42038]|0,a);return b|0}function Pq(a,b){a=a|0;b=b|0;var d=0;d=Yn(c[42038]|0,36)|0;c[d+32>>2]=a;c[d>>2]=b;return d|0}function Qq(a,b){a=a|0;b=b|0;return Sq(267,a,b)|0}function Rq(a,b){a=a|0;b=b|0;var d=0,e=0;d=a+4|0;e=c[d>>2]|0;if(e|0)c[e+12>>2]=b;c[d>>2]=b;if(!(c[a>>2]|0))c[a>>2]=b;return}function Sq(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=Yn(c[42038]|0,16)|0;c[e>>2]=a;c[e+4>>2]=b;c[e+8>>2]=d;return e|0}function Tq(){var a=0;a=l;l=l+16|0;_l(0,83093,a)|0;l=a;return}
function DI(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0.0,j=0,k=0,m=0,n=0,q=0,r=0,s=0,u=0,v=0,w=0,x=0,y=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0.0;H=l;l=l+112|0;E=H+80|0;D=H+64|0;C=H+48|0;G=4;F=ZI(40)|0;c[F>>2]=0;w=H+32|0;x=H+16|0;y=H;A=H+96|0;G=RN(169980,1,F|0,G|0)|0;F=z;o=0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1)e=z;else e=0;a:while(1){if(e|0){e=-2;break}g=a+4|0;o=0;fa(94,c[g>>2]|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue}c[42534]=0;c[42535]=0;o=0;fa(95,c[g>>2]<<1|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue}m=(c[42537]|0)/2|0;c[42538]=m;c[42539]=m+-1;m=c[g>>2]|0;g=c[a>>2]|0;e=0;f=-1;i=t;while(1){if((e|0)>=(m|0))break;I=+h[g+(e<<4)>>3];v=i>I;u=v?e:f;e=e+1|0;f=u;i=v?I:i}v=g+(f<<4)|0;c[x>>2]=c[v>>2];c[x+4>>2]=c[v+4>>2];c[x+8>>2]=c[v+8>>2];c[x+12>>2]=c[v+12>>2];v=g+(((f|0)==0?m:f)+-1<<4)|0;c[w>>2]=c[v>>2];c[w+4>>2]=c[v+4>>2];c[w+8>>2]=c[v+8>>2];c[w+12>>2]=c[v+12>>2];v=g+(((f|0)==(m+-1|0)?0:f+1|0)<<4)|0;c[y>>2]=c[v>>2];c[y+4>>2]=c[v+4>>2];c[y+8>>2]=c[v+8>>2];c[y+12>>2]=c[v+12>>2];I=+h[x>>3];if((+h[w>>3]==I?I==+h[y>>3]:0)?+h[y+8>>3]>+h[x+8>>3]:0)v=15;else v=12;b:do if((v|0)==12){v=0;o=0;e=aa(17,w|0,x|0,y|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,G|0,F|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}if((e|0)==1){g=c[42541]|0;e=c[42542]|0;f=0;while(1){if((f|0)>=(m|0))break b;j=c[a>>2]|0;if(!(((f|0)>0?(B=f+-1|0,+h[j+(f<<4)>>3]==+h[j+(B<<4)>>3]):0)?+h[j+(f<<4)+8>>3]==+h[j+(B<<4)+8>>3]:0)){u=c[42534]|0;c[g+(u<<3)>>2]=j+(f<<4);c[g+(u<<3)+4>>2]=g+(((u|0)%(m|0)|0)<<3);c[e+(u<<2)>>2]=g+(u<<3);c[42534]=u+1}f=f+1|0}}else v=15}while(0);c:do if((v|0)==15){v=0;j=c[42541]|0;e=c[42542]|0;g=m;while(1){f=g+-1|0;if((g|0)<=0)break c;k=c[a>>2]|0;if(((g|0)<(m|0)?+h[k+(f<<4)>>3]==+h[k+(g<<4)>>3]:0)?+h[k+(f<<4)+8>>3]==+h[k+(g<<4)+8>>3]:0){g=f;continue}g=c[42534]|0;c[j+(g<<3)>>2]=k+(f<<4);c[j+(g<<3)+4>>2]=j+(((g|0)%(m|0)|0)<<3);c[e+(g<<2)>>2]=j+(g<<3);c[42534]=g+1;g=f}}while(0);o=0;ga(27,e|0,c[42534]|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue}j=0;e=c[42535]|0;d:while(1){if((j|0)>=(e|0)){s=0;break}k=j+1|0;g=k;while(1){if((g|0)>=(e|0)){j=k;continue d}o=0;ga(28,j|0,g|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue a}g=g+1|0;e=c[42535]|0}}while(1){if((s|0)>=(e|0))break;o=0;f=$(39,s|0,b|0)|0;g=o;o=0;if((g|0)!=0&(p|0)!=0){j=SN(c[g>>2]|0,G|0,F|0)|0;if(!j)Ua(g|0,p|0);z=p}else j=-1;if((j|0)==1){e=z;continue a}if(f|0)break;s=s+1|0}if((s|0)==(e|0)){e=c[13918]|0;o=0;c[C>>2]=125503;c[C+4>>2]=192;c[C+8>>2]=125514;aa(13,e|0,125484,C|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue}else{v=41;break}}u=b+16|0;k=0;while(1){if((k|0)>=(e|0))break;o=0;f=$(39,k|0,u|0)|0;g=o;o=0;if((g|0)!=0&(p|0)!=0){j=SN(c[g>>2]|0,G|0,F|0)|0;if(!j)Ua(g|0,p|0);z=p}else j=-1;if((j|0)==1){e=z;continue a}if(f|0)break;k=k+1|0}if((k|0)==(e|0)){e=c[13918]|0;o=0;c[D>>2]=125503;c[D+4>>2]=200;c[D+8>>2]=125547;aa(13,e|0,125484,D|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue}else{v=48;break}}o=0;e=$(40,s|0,k|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,G|0,F|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue}if(!e){e=c[13918]|0;o=0;c[E>>2]=125503;c[E+4>>2]=207;c[E+8>>2]=125585;aa(13,e|0,125484,E|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue}o=0;fa(96,2);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue}else{v=53;break}}if((s|0)==(k|0)){o=0;fa(96,2);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue}else{v=56;break}}c[A>>2]=b;c[A+4>>2]=0;f=A+8|0;c[f>>2]=u;c[A+12>>2]=0;o=0;ga(29,1,A|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue}c[42540]=c[42538];q=s;e:while(1){if((q|0)==-1){g=f;e=0;break}r=c[42544]|0;c[r+(q*52|0)>>2]=2;e=0;while(1){if((e|0)>=3){v=65;break}v=c[r+(q*52|0)+4+(e<<4)+12>>2]|0;if(v|0?(c[v>>2]|0)==1:0){v=68;break}e=e+1|0}if((v|0)==65){v=0;if((e|0)==3){e=c[42536]|0;k=c[e+(c[42539]<<2)>>2]|0;o=0;e=aa(17,u|0,c[c[e+(c[42538]<<2)>>2]>>2]|0,c[k>>2]|0)|0;g=o;o=0;if((g|0)!=0&(p|0)!=0){j=SN(c[g>>2]|0,G|0,F|0)|0;if(!j)Ua(g|0,p|0);z=p}else j=-1;if((j|0)==1){e=z;continue a}j=(e|0)==1;n=j?f:k;j=j?k:f}else v=68}if((v|0)==68){v=0;k=c[r+(q*52|0)+4+(e<<4)>>2]|0;m=c[r+(q*52|0)+4+(e<<4)+4>>2]|0;o=0;e=aa(17,c[k>>2]|0,c[c[r+(q*52|0)+4+(((e+1|0)%3|0)<<4)+4>>2]>>2]|0,c[m>>2]|0)|0;g=o;o=0;if((g|0)!=0&(p|0)!=0){j=SN(c[g>>2]|0,G|0,F|0)|0;if(!j)Ua(g|0,p|0);z=p}else j=-1;if((j|0)==1){e=z;continue a}j=(e|0)==1;n=j?k:m;j=j?m:k}do if((q|0)==(s|0)){o=0;ga(29,2,j|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}o=0;ga(29,1,n|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}e=0}else{m=c[42536]|0;if((c[m+(c[42538]<<2)>>2]|0)!=(n|0)?(c[m+(c[42539]<<2)>>2]|0)!=(n|0):0){o=0;j=_(29,n|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}o=0;ga(30,2,j|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}o=0;ga(29,1,n|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}if((j|0)<=(c[42540]|0)){e=0;break}c[42540]=j;e=0;break}o=0;k=_(29,j|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}o=0;ga(30,1,k|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}o=0;ga(29,2,j|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}if((k|0)>=(c[42540]|0)){e=0;break}c[42540]=k;e=0}while(0);while(1){if((e|0)>=3){q=-1;continue e}g=c[r+(q*52|0)+4+(e<<4)+12>>2]|0;if(g|0?(c[g>>2]|0)==1:0)break;e=e+1|0}q=(g-(c[42544]|0)|0)/52|0}while(1){if(!g)break;g=c[g+4>>2]|0;e=e+1|0}o=0;fa(96,e|0);g=o;o=0;if((g|0)!=0&(p|0)!=0){j=SN(c[g>>2]|0,G|0,F|0)|0;if(!j)Ua(g|0,p|0);z=p}else j=-1;if((j|0)==1)e=z;else{v=94;break}}if((v|0)==41)e=-1;else if((v|0)==48)e=-1;else if((v|0)==53){c[d+4>>2]=2;e=c[42543]|0;c[e>>2]=c[b>>2];c[e+4>>2]=c[b+4>>2];c[e+8>>2]=c[b+8>>2];c[e+12>>2]=c[b+12>>2];F=e+16|0;c[F>>2]=c[u>>2];c[F+4>>2]=c[u+4>>2];c[F+8>>2]=c[u+8>>2];c[F+12>>2]=c[u+12>>2];c[d>>2]=e;e=0}else if((v|0)==56){c[d+4>>2]=2;e=c[42543]|0;c[e>>2]=c[b>>2];c[e+4>>2]=c[b+4>>2];c[e+8>>2]=c[b+8>>2];c[e+12>>2]=c[b+12>>2];F=e+16|0;c[F>>2]=c[u>>2];c[F+4>>2]=c[u+4>>2];c[F+8>>2]=c[u+8>>2];c[F+12>>2]=c[u+12>>2];c[d>>2]=e;e=0}else if((v|0)==94){c[d+4>>2]=e;g=c[42543]|0;while(1){e=e+-1|0;if(!f)break;F=g+(e<<4)|0;E=c[f>>2]|0;c[F>>2]=c[E>>2];c[F+4>>2]=c[E+4>>2];c[F+8>>2]=c[E+8>>2];c[F+12>>2]=c[E+12>>2];f=c[f+4>>2]|0}c[d>>2]=g;e=0}_I(G|0);l=H;return e|0}function EI(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;h=l;l=l+64|0;e=h+48|0;g=h+32|0;f=h+16|0;d=h;if((c[42547]|0)<(a|0)){b=c[42541]|0;if(!b){g=ZI(a<<3)|0;c[42541]=g;if(!g){g=c[13918]|0;c[d>>2]=125503;c[d+4>>2]=523;c[d+8>>2]=125753;zL(g,125484,d)|0;Ua(169980,1)}g=ZI(a<<2)|0;c[42542]=g;if(!g){g=c[13918]|0;c[f>>2]=125503;c[f+4>>2]=527;c[f+8>>2]=125772;zL(g,125484,f)|0;Ua(169980,1)}}else{f=aJ(b,a<<3)|0;c[42541]=f;if(!f){f=c[13918]|0;c[g>>2]=125503;c[g+4>>2]=533;c[g+8>>2]=125792;zL(f,125484,g)|0;Ua(169980,1)}g=aJ(c[42542]|0,a<<2)|0;c[42542]=g;if(!g){g=c[13918]|0;c[e>>2]=125503;c[e+4>>2]=539;c[e+8>>2]=125812;zL(g,125484,e)|0;Ua(169980,1)}}c[42547]=a}l=h;return}function FI(a){a=a|0;var b=0,d=0,e=0,f=0;f=l;l=l+32|0;e=f+16|0;d=f;if((c[42537]|0)<(a|0)){b=c[42536]|0;if(!b){e=ZI(a<<2)|0;c[42536]=e;if(!e){e=c[13918]|0;c[d>>2]=125503;c[d+4>>2]=573;c[d+8>>2]=125708;zL(e,125484,d)|0;Ua(169980,1)}}else{d=aJ(b,a<<2)|0;c[42536]=d;if(!d){d=c[13918]|0;c[e>>2]=125503;c[e+4>>2]=580;c[e+8>>2]=125730;zL(d,125484,e)|0;Ua(169980,1)}}c[42537]=a}l=f;return}function GI(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0;d=+h[b+8>>3];e=+h[b>>3];d=(+h[c>>3]-e)*(+h[a+8>>3]-d)-(+h[a>>3]-e)*(+h[c+8>>3]-d);return (d>0.0?1:d<0.0?2:3)|0}function HI(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;h=i;a:while(1){if((b|0)>3)e=0;else{b=9;break}while(1){if((e|0)>=(b|0)){b=8;break a}f=e+1|0;d=(f|0)%(b|0)|0;g=(e+2|0)%(b|0)|0;if(!(PI(e,g,a,b)|0))e=f;else break}QI(c[a+(e<<2)>>2]|0,c[a+(d<<2)>>2]|0,c[a+(g<<2)>>2]|0);b=b+-1|0;while(1){if((d|0)>=(b|0))continue a;g=d+1|0;c[a+(d<<2)>>2]=c[a+(g<<2)>>2];d=g}}if((b|0)==8){a=c[13918]|0;c[h>>2]=125503;c[h+4>>2]=324;c[h+8>>2]=125648;zL(a,125484,h)|0}else if((b|0)==9)QI(c[a>>2]|0,c[a+4>>2]|0,c[a+8>>2]|0);l=i;return}function II(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;i=c[42544]|0;j=i+(a*52|0)|0;k=i+(b*52|0)|0;g=0;while(1){if((g|0)==3)break;l=i+(a*52|0)+4+(g<<4)|0;m=i+(a*52|0)+4+(g<<4)+4|0;n=i+(a*52|0)+4+(g<<4)+12|0;f=0;while(1){if((f|0)==3)break;o=c[c[l>>2]>>2]|0;h=c[c[i+(b*52|0)+4+(f<<4)>>2]>>2]|0;if((o|0)==(h|0)){d=c[c[i+(b*52|0)+4+(f<<4)+4>>2]>>2]|0;if((c[c[m>>2]>>2]|0)==(d|0))e=10;else e=8}else{d=c[c[i+(b*52|0)+4+(f<<4)+4>>2]>>2]|0;e=8}if(((e|0)==8?(e=0,(o|0)==(d|0)):0)?(c[c[m>>2]>>2]|0)==(h|0):0)e=10;if((e|0)==10){c[n>>2]=k;c[i+(b*52|0)+4+(f<<4)+12>>2]=j}f=f+1|0}g=g+1|0}return}function JI(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;f=c[42544]|0;d=0;e=0;while(1){if((e|0)==3)break;d=d+((GI(c[c[f+(a*52|0)+4+(e<<4)>>2]>>2]|0,c[c[f+(a*52|0)+4+(e<<4)+4>>2]>>2]|0,b)|0)!=2&1)|0;e=e+1|0}return ((d|0)==3|(d|0)==0)&1|0}function KI(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=c[42544]|0;e=d+(a*52|0)|0;a:do if(!(c[e>>2]|0)){c[e>>2]=1;if((a|0)==(b|0))d=1;else{f=0;while(1){if((f|0)>=3)break;e=c[d+(a*52|0)+4+(f<<4)+12>>2]|0;if(e){if(KI((e-d|0)/52|0,b)|0){d=1;break a}d=c[42544]|0}f=f+1|0}c[d+(a*52|0)>>2]=0;d=0}}else d=0;while(0);return d|0}function LI(a){a=a|0;var b=0,d=0,e=0,f=0;f=l;l=l+32|0;e=f+16|0;d=f;if((c[42545]|0)<(a|0)){b=c[42543]|0;if(!b){e=ZI(a<<4)|0;c[42543]=e;if(!e){e=c[13918]|0;c[d>>2]=125503;c[d+4>>2]=593;c[d+8>>2]=125611;zL(e,125484,d)|0;Ua(169980,1)}}else{d=aJ(b,a<<4)|0;c[42543]=d;if(!d){d=c[13918]|0;c[e>>2]=125503;c[e+4>>2]=599;c[e+8>>2]=125629;zL(d,125484,e)|0;Ua(169980,1)}}c[42545]=a}l=f;return}function MI(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=c[42539]|0;e=c[42538]|0;f=(d|0)>=(e|0);if((a|0)==1)if(f){c[b+4>>2]=c[(c[42536]|0)+(e<<2)>>2];a=170152;d=-1}else{a=170152;d=-1}else if(f){c[b+4>>2]=c[(c[42536]|0)+(d<<2)>>2];a=170156;d=1}else{a=170156;d=1}f=(c[a>>2]|0)+d|0;c[a>>2]=f;c[(c[42536]|0)+(f<<2)>>2]=b;return}function NI(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;f=c[42540]|0;g=c[42536]|0;b=c[42538]|0;while(1){if((b|0)>=(f|0)){e=4;break}d=b+1|0;if((GI(c[c[g+(d<<2)>>2]>>2]|0,c[c[g+(b<<2)>>2]>>2]|0,c[a>>2]|0)|0)==1)break;else b=d}a:do if((e|0)==4){b=c[42539]|0;while(1){if((b|0)<=(f|0)){b=f;break a}d=b+-1|0;if((GI(c[c[g+(d<<2)>>2]>>2]|0,c[c[g+(b<<2)>>2]>>2]|0,c[a>>2]|0)|0)==2)break;else b=d}}while(0);return b|0}function OI(a,b){a=a|0;b=b|0;c[((a|0)==1?170156:170152)>>2]=b;return}function PI(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;f=c[c[d+(((a+-1+e|0)%(e|0)|0)<<2)>>2]>>2]|0;i=c[c[d+(a<<2)>>2]>>2]|0;g=c[c[d+(((a+1|0)%(e|0)|0)<<2)>>2]>>2]|0;k=(GI(f,i,g)|0)==1;j=c[c[d+(b<<2)>>2]>>2]|0;if(k)if((GI(i,j,f)|0)==1){f=GI(j,i,g)|0;g=1;h=5}else f=0;else{f=GI(i,j,g)|0;g=2;h=5}a:do if((h|0)==5)if((f|0)==(g|0)){f=0;while(1){if((f|0)>=(e|0)){f=1;break a}g=f;f=f+1|0;h=(f|0)%(e|0)|0;if((h|0)==(b|0)|((g|0)==(b|0)|((g|0)==(a|0)|(h|0)==(a|0))))continue;if(SI(i,j,c[c[d+(g<<2)>>2]>>2]|0,c[c[d+(h<<2)>>2]>>2]|0)|0){f=0;break}}}else f=0;while(0);return f|0}function QI(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;e=c[42535]|0;f=c[42546]|0;if((e|0)<(f|0))h=e;else{RI(f+20|0);h=c[42535]|0}g=c[42544]|0;c[42535]=h+1;f=g+(h*52|0)|0;c[f>>2]=0;c[g+(h*52|0)+4>>2]=a;c[g+(h*52|0)+8>>2]=b;c[g+(h*52|0)+16>>2]=0;c[g+(h*52|0)+20>>2]=b;c[g+(h*52|0)+24>>2]=d;c[g+(h*52|0)+32>>2]=0;c[g+(h*52|0)+36>>2]=d;c[g+(h*52|0)+40>>2]=a;c[g+(h*52|0)+48>>2]=0;e=0;while(1){if((e|0)==3)break;c[g+(h*52|0)+4+(e<<4)+8>>2]=f;e=e+1|0}return}function RI(a){a=a|0;var b=0,d=0,e=0,f=0;f=l;l=l+32|0;e=f+16|0;d=f;if((c[42546]|0)<(a|0)){b=c[42544]|0;if(!b){e=ZI(a*52|0)|0;c[42544]=e;if(!e){e=c[13918]|0;c[d>>2]=125503;c[d+4>>2]=552;c[d+8>>2]=125669;zL(e,125484,d)|0;Ua(169980,1)}}else{d=aJ(b,a*52|0)|0;c[42544]=d;if(!d){d=c[13918]|0;c[e>>2]=125503;c[e+4>>2]=558;c[e+8>>2]=125688;zL(d,125484,e)|0;Ua(169980,1)}}c[42546]=a}l=f;return}function SI(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0,f=0,g=0,h=0;f=GI(a,b,c)|0;if((((f|0)!=3?(g=GI(a,b,d)|0,(g|0)!=3):0)?(h=GI(c,d,a)|0,(h|0)!=3):0)?(e=GI(c,d,b)|0,(e|0)!=3):0)return ((f|0)==1^(g|0)==1)&((h|0)==1^(e|0)==1)&1|0;if(((TI(a,b,c)|0)==0?(TI(a,b,d)|0)==0:0)?(TI(c,d,a)|0)==0:0)return (TI(c,d,b)|0)!=0|0;return 1}function TI(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0,f=0.0,g=0.0;e=+h[a>>3];g=+h[b>>3]-e;f=+h[a+8>>3];d=+h[b+8>>3]-f;e=+h[c>>3]-e;f=+h[c+8>>3]-f;if((GI(a,b,c)|0)==3?f*d+e*g>=0.0:0)a=f*f+e*e<=d*d+g*g&1;else a=0;return a|0}function UI(a,b){a=a|0;b=b|0;var c=0,d=0.0,e=0.0,f=0.0,g=0.0,i=0.0,j=0;d=+h[a+24>>3];a:do if(d<1.0e-07&d>-1.0e-07)a=VI(a,b)|0;else{g=+h[a+16>>3]/(d*3.0);f=+h[a+8>>3]/d;e=g*g;d=g*2.0*e-g*f+ +h[a>>3]/d;e=f*.3333333333333333-e;e=e*e*4.0*e;f=d*d+e;if(!(f<0.0)){i=(+C(+f)-d)*.5;e=+JJ(i);d=+JJ(-d-i)+e;h[b>>3]=d;if(f>0.0)a=1;else{d=d*-.5;h[b+16>>3]=d;a=1;c=7}}else{i=+K(+(+C(+-f)),+-d);d=+JJ(+C(+-e)*.5)*2.0;h[b>>3]=d*+E(+(i*.3333333333333333));h[b+8>>3]=+E(+((i+6.283185307179586)*.3333333333333333))*d;d=+E(+((i+-6.283185307179586)*.3333333333333333))*d;a=2;c=7}if((c|0)==7){h[b+(a<<3)>>3]=d;a=3}c=0;while(1){if((c|0)>=(a|0))break a;j=b+(c<<3)|0;h[j>>3]=+h[j>>3]-g;c=c+1|0}}while(0);return a|0}function VI(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;c=+h[a+16>>3];do if(!(c<1.0e-07&c>-1.0e-07)){d=+h[a+8>>3]/(c*2.0);c=d*d-+h[a>>3]/c;if(!(c<0.0))if(c==0.0){h[b>>3]=-d;a=1;break}else{c=+C(+c)-d;h[b>>3]=c;h[b+8>>3]=d*-2.0-c;a=2;break}else a=0}else a=WI(a,b)|0;while(0);return a|0}function WI(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;d=+h[a+8>>3];c=+h[a>>3];if(d<1.0e-07&d>-1.0e-07)a=c<1.0e-07&c>-1.0e-07?4:0;else{h[b>>3]=-c/d;a=1}return a|0}function XI(a){a=a|0;_I(c[a>>2]|0);_I(a);return}function YI(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;e=c[a+4>>2]|0;i=(e*3|0)+-2|0;d=c[42549]|0;if((i|0)>(c[42548]|0)){if(!d)d=ZI(i<<4)|0;else d=aJ(d,i<<4)|0;c[42549]=d;c[42548]=i;h=d;g=d}else{h=d;g=d}f=c[a>>2]|0;c[h>>2]=c[f>>2];c[h+4>>2]=c[f+4>>2];c[h+8>>2]=c[f+8>>2];c[h+12>>2]=c[f+12>>2];UN(h+16|0,f|0,16)|0;e=e+-1|0;d=1;a=2;while(1){if((d|0)>=(e|0))break;j=h+(a+2<<4)|0;k=h+(a+1<<4)|0;m=h+(a<<4)|0;l=f+(d<<4)|0;c[m>>2]=c[l>>2];c[m+4>>2]=c[l+4>>2];c[m+8>>2]=c[l+8>>2];c[m+12>>2]=c[l+12>>2];UN(k|0,l|0,16)|0;c[j>>2]=c[k>>2];c[j+4>>2]=c[k+4>>2];c[j+8>>2]=c[k+8>>2];c[j+12>>2]=c[k+12>>2];d=d+1|0;a=a+3|0}l=h+(a<<4)|0;m=f+(d<<4)|0;c[l>>2]=c[m>>2];c[l+4>>2]=c[m+4>>2];c[l+8>>2]=c[m+8>>2];c[l+12>>2]=c[m+12>>2];UN(h+(a+1<<4)|0,m|0,16)|0;c[b+4>>2]=i;c[b>>2]=g;return}function ZI(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0;x=l;l=l+16|0;p=x;do if(a>>>0<245){m=a>>>0<11?16:a+11&-8;a=m>>>3;o=c[42550]|0;d=o>>>a;if(d&3|0){b=(d&1^1)+a|0;a=170240+(b<<1<<2)|0;d=a+8|0;e=c[d>>2]|0;f=e+8|0;g=c[f>>2]|0;if((g|0)==(a|0))c[42550]=o&~(1<<b);else{c[g+12>>2]=a;c[d>>2]=g}w=b<<3;c[e+4>>2]=w|3;w=e+w+4|0;c[w>>2]=c[w>>2]|1;w=f;l=x;return w|0}n=c[42552]|0;if(m>>>0>n>>>0){if(d|0){b=2<<a;b=d<<a&(b|0-b);b=(b&0-b)+-1|0;i=b>>>12&16;b=b>>>i;d=b>>>5&8;b=b>>>d;g=b>>>2&4;b=b>>>g;a=b>>>1&2;b=b>>>a;e=b>>>1&1;e=(d|i|g|a|e)+(b>>>e)|0;b=170240+(e<<1<<2)|0;a=b+8|0;g=c[a>>2]|0;i=g+8|0;d=c[i>>2]|0;if((d|0)==(b|0)){a=o&~(1<<e);c[42550]=a}else{c[d+12>>2]=b;c[a>>2]=d;a=o}w=e<<3;h=w-m|0;c[g+4>>2]=m|3;f=g+m|0;c[f+4>>2]=h|1;c[g+w>>2]=h;if(n|0){e=c[42555]|0;b=n>>>3;d=170240+(b<<1<<2)|0;b=1<<b;if(!(a&b)){c[42550]=a|b;b=d;a=d+8|0}else{a=d+8|0;b=c[a>>2]|0}c[a>>2]=e;c[b+12>>2]=e;c[e+8>>2]=b;c[e+12>>2]=d}c[42552]=h;c[42555]=f;w=i;l=x;return w|0}j=c[42551]|0;if(j){d=(j&0-j)+-1|0;i=d>>>12&16;d=d>>>i;h=d>>>5&8;d=d>>>h;k=d>>>2&4;d=d>>>k;e=d>>>1&2;d=d>>>e;a=d>>>1&1;a=c[170504+((h|i|k|e|a)+(d>>>a)<<2)>>2]|0;d=(c[a+4>>2]&-8)-m|0;e=c[a+16+(((c[a+16>>2]|0)==0&1)<<2)>>2]|0;if(!e){k=a;h=d}else{do{i=(c[e+4>>2]&-8)-m|0;k=i>>>0<d>>>0;d=k?i:d;a=k?e:a;e=c[e+16+(((c[e+16>>2]|0)==0&1)<<2)>>2]|0}while((e|0)!=0);k=a;h=d}i=k+m|0;if(i>>>0>k>>>0){f=c[k+24>>2]|0;b=c[k+12>>2]|0;do if((b|0)==(k|0)){a=k+20|0;b=c[a>>2]|0;if(!b){a=k+16|0;b=c[a>>2]|0;if(!b){d=0;break}}while(1){d=b+20|0;e=c[d>>2]|0;if(e|0){b=e;a=d;continue}d=b+16|0;e=c[d>>2]|0;if(!e)break;else{b=e;a=d}}c[a>>2]=0;d=b}else{d=c[k+8>>2]|0;c[d+12>>2]=b;c[b+8>>2]=d;d=b}while(0);do if(f|0){b=c[k+28>>2]|0;a=170504+(b<<2)|0;if((k|0)==(c[a>>2]|0)){c[a>>2]=d;if(!d){c[42551]=j&~(1<<b);break}}else{c[f+16+(((c[f+16>>2]|0)!=(k|0)&1)<<2)>>2]=d;if(!d)break}c[d+24>>2]=f;b=c[k+16>>2]|0;if(b|0){c[d+16>>2]=b;c[b+24>>2]=d}b=c[k+20>>2]|0;if(b|0){c[d+20>>2]=b;c[b+24>>2]=d}}while(0);if(h>>>0<16){w=h+m|0;c[k+4>>2]=w|3;w=k+w+4|0;c[w>>2]=c[w>>2]|1}else{c[k+4>>2]=m|3;c[i+4>>2]=h|1;c[i+h>>2]=h;if(n|0){e=c[42555]|0;b=n>>>3;d=170240+(b<<1<<2)|0;b=1<<b;if(!(o&b)){c[42550]=o|b;b=d;a=d+8|0}else{a=d+8|0;b=c[a>>2]|0}c[a>>2]=e;c[b+12>>2]=e;c[e+8>>2]=b;c[e+12>>2]=d}c[42552]=h;c[42555]=i}w=k+8|0;l=x;return w|0}else n=m}else n=m}else n=m}else if(a>>>0<=4294967231){a=a+11|0;m=a&-8;k=c[42551]|0;if(k){e=0-m|0;a=a>>>8;if(a)if(m>>>0>16777215)j=31;else{o=(a+1048320|0)>>>16&8;v=a<<o;n=(v+520192|0)>>>16&4;v=v<<n;j=(v+245760|0)>>>16&2;j=14-(n|o|j)+(v<<j>>>15)|0;j=m>>>(j+7|0)&1|j<<1}else j=0;d=c[170504+(j<<2)>>2]|0;a:do if(!d){d=0;a=0;v=57}else{a=0;i=d;h=m<<((j|0)==31?0:25-(j>>>1)|0);d=0;while(1){f=(c[i+4>>2]&-8)-m|0;if(f>>>0<e>>>0)if(!f){e=0;d=i;a=i;v=61;break a}else{a=i;e=f}f=c[i+20>>2]|0;i=c[i+16+(h>>>31<<2)>>2]|0;d=(f|0)==0|(f|0)==(i|0)?d:f;f=(i|0)==0;if(f){v=57;break}else h=h<<((f^1)&1)}}while(0);if((v|0)==57){if((d|0)==0&(a|0)==0){a=2<<j;a=k&(a|0-a);if(!a){n=m;break}o=(a&0-a)+-1|0;i=o>>>12&16;o=o>>>i;h=o>>>5&8;o=o>>>h;j=o>>>2&4;o=o>>>j;n=o>>>1&2;o=o>>>n;d=o>>>1&1;a=0;d=c[170504+((h|i|j|n|d)+(o>>>d)<<2)>>2]|0}if(!d){i=a;h=e}else v=61}if((v|0)==61)while(1){v=0;n=(c[d+4>>2]&-8)-m|0;o=n>>>0<e>>>0;e=o?n:e;a=o?d:a;d=c[d+16+(((c[d+16>>2]|0)==0&1)<<2)>>2]|0;if(!d){i=a;h=e;break}else v=61}if((i|0)!=0?h>>>0<((c[42552]|0)-m|0)>>>0:0){g=i+m|0;if(g>>>0<=i>>>0){w=0;l=x;return w|0}f=c[i+24>>2]|0;b=c[i+12>>2]|0;do if((b|0)==(i|0)){a=i+20|0;b=c[a>>2]|0;if(!b){a=i+16|0;b=c[a>>2]|0;if(!b){b=0;break}}while(1){d=b+20|0;e=c[d>>2]|0;if(e|0){b=e;a=d;continue}d=b+16|0;e=c[d>>2]|0;if(!e)break;else{b=e;a=d}}c[a>>2]=0}else{w=c[i+8>>2]|0;c[w+12>>2]=b;c[b+8>>2]=w}while(0);do if(f){a=c[i+28>>2]|0;d=170504+(a<<2)|0;if((i|0)==(c[d>>2]|0)){c[d>>2]=b;if(!b){e=k&~(1<<a);c[42551]=e;break}}else{c[f+16+(((c[f+16>>2]|0)!=(i|0)&1)<<2)>>2]=b;if(!b){e=k;break}}c[b+24>>2]=f;a=c[i+16>>2]|0;if(a|0){c[b+16>>2]=a;c[a+24>>2]=b}a=c[i+20>>2]|0;if(a){c[b+20>>2]=a;c[a+24>>2]=b;e=k}else e=k}else e=k;while(0);do if(h>>>0>=16){c[i+4>>2]=m|3;c[g+4>>2]=h|1;c[g+h>>2]=h;b=h>>>3;if(h>>>0<256){d=170240+(b<<1<<2)|0;a=c[42550]|0;b=1<<b;if(!(a&b)){c[42550]=a|b;b=d;a=d+8|0}else{a=d+8|0;b=c[a>>2]|0}c[a>>2]=g;c[b+12>>2]=g;c[g+8>>2]=b;c[g+12>>2]=d;break}b=h>>>8;if(b)if(h>>>0>16777215)b=31;else{v=(b+1048320|0)>>>16&8;w=b<<v;u=(w+520192|0)>>>16&4;w=w<<u;b=(w+245760|0)>>>16&2;b=14-(u|v|b)+(w<<b>>>15)|0;b=h>>>(b+7|0)&1|b<<1}else b=0;d=170504+(b<<2)|0;c[g+28>>2]=b;a=g+16|0;c[a+4>>2]=0;c[a>>2]=0;a=1<<b;if(!(e&a)){c[42551]=e|a;c[d>>2]=g;c[g+24>>2]=d;c[g+12>>2]=g;c[g+8>>2]=g;break}a=h<<((b|0)==31?0:25-(b>>>1)|0);d=c[d>>2]|0;while(1){if((c[d+4>>2]&-8|0)==(h|0)){v=97;break}e=d+16+(a>>>31<<2)|0;b=c[e>>2]|0;if(!b){v=96;break}else{a=a<<1;d=b}}if((v|0)==96){c[e>>2]=g;c[g+24>>2]=d;c[g+12>>2]=g;c[g+8>>2]=g;break}else if((v|0)==97){v=d+8|0;w=c[v>>2]|0;c[w+12>>2]=g;c[v>>2]=g;c[g+8>>2]=w;c[g+12>>2]=d;c[g+24>>2]=0;break}}else{w=h+m|0;c[i+4>>2]=w|3;w=i+w+4|0;c[w>>2]=c[w>>2]|1}while(0);w=i+8|0;l=x;return w|0}else n=m}else n=m}else n=-1;while(0);d=c[42552]|0;if(d>>>0>=n>>>0){b=d-n|0;a=c[42555]|0;if(b>>>0>15){w=a+n|0;c[42555]=w;c[42552]=b;c[w+4>>2]=b|1;c[a+d>>2]=b;c[a+4>>2]=n|3}else{c[42552]=0;c[42555]=0;c[a+4>>2]=d|3;w=a+d+4|0;c[w>>2]=c[w>>2]|1}w=a+8|0;l=x;return w|0}i=c[42553]|0;if(i>>>0>n>>>0){u=i-n|0;c[42553]=u;w=c[42556]|0;v=w+n|0;c[42556]=v;c[v+4>>2]=u|1;c[w+4>>2]=n|3;w=w+8|0;l=x;return w|0}if(!(c[42668]|0)){c[42670]=4096;c[42669]=4096;c[42671]=-1;c[42672]=-1;c[42673]=0;c[42661]=0;c[42668]=p&-16^1431655768;a=4096}else a=c[42670]|0;j=n+48|0;k=n+47|0;h=a+k|0;f=0-a|0;m=h&f;if(m>>>0<=n>>>0){w=0;l=x;return w|0}a=c[42660]|0;if(a|0?(o=c[42658]|0,p=o+m|0,p>>>0<=o>>>0|p>>>0>a>>>0):0){w=0;l=x;return w|0}b:do if(!(c[42661]&4)){d=c[42556]|0;c:do if(d){e=170648;while(1){a=c[e>>2]|0;if(a>>>0<=d>>>0?(s=e+4|0,(a+(c[s>>2]|0)|0)>>>0>d>>>0):0)break;a=c[e+8>>2]|0;if(!a){v=118;break c}else e=a}b=h-i&f;if(b>>>0<2147483647){a=WN(b|0)|0;if((a|0)==((c[e>>2]|0)+(c[s>>2]|0)|0)){if((a|0)!=(-1|0)){h=b;g=a;v=135;break b}}else{e=a;v=126}}else b=0}else v=118;while(0);do if((v|0)==118){d=WN(0)|0;if((d|0)!=(-1|0)?(b=d,q=c[42669]|0,r=q+-1|0,b=((r&b|0)==0?0:(r+b&0-q)-b|0)+m|0,q=c[42658]|0,r=b+q|0,b>>>0>n>>>0&b>>>0<2147483647):0){s=c[42660]|0;if(s|0?r>>>0<=q>>>0|r>>>0>s>>>0:0){b=0;break}a=WN(b|0)|0;if((a|0)==(d|0)){h=b;g=d;v=135;break b}else{e=a;v=126}}else b=0}while(0);do if((v|0)==126){d=0-b|0;if(!(j>>>0>b>>>0&(b>>>0<2147483647&(e|0)!=(-1|0))))if((e|0)==(-1|0)){b=0;break}else{h=b;g=e;v=135;break b}a=c[42670]|0;a=k-b+a&0-a;if(a>>>0>=2147483647){h=b;g=e;v=135;break b}if((WN(a|0)|0)==(-1|0)){WN(d|0)|0;b=0;break}else{h=a+b|0;g=e;v=135;break b}}while(0);c[42661]=c[42661]|4;v=133}else{b=0;v=133}while(0);if(((v|0)==133?m>>>0<2147483647:0)?(g=WN(m|0)|0,s=WN(0)|0,t=s-g|0,u=t>>>0>(n+40|0)>>>0,!((g|0)==(-1|0)|u^1|g>>>0<s>>>0&((g|0)!=(-1|0)&(s|0)!=(-1|0))^1)):0){h=u?t:b;v=135}if((v|0)==135){b=(c[42658]|0)+h|0;c[42658]=b;if(b>>>0>(c[42659]|0)>>>0)c[42659]=b;j=c[42556]|0;do if(j){b=170648;while(1){a=c[b>>2]|0;d=b+4|0;e=c[d>>2]|0;if((g|0)==(a+e|0)){v=143;break}f=c[b+8>>2]|0;if(!f)break;else b=f}if(((v|0)==143?(c[b+12>>2]&8|0)==0:0)?g>>>0>j>>>0&a>>>0<=j>>>0:0){c[d>>2]=e+h;w=(c[42553]|0)+h|0;u=j+8|0;u=(u&7|0)==0?0:0-u&7;v=j+u|0;u=w-u|0;c[42556]=v;c[42553]=u;c[v+4>>2]=u|1;c[j+w+4>>2]=40;c[42557]=c[42672];break}if(g>>>0<(c[42554]|0)>>>0)c[42554]=g;a=g+h|0;b=170648;while(1){if((c[b>>2]|0)==(a|0)){v=151;break}b=c[b+8>>2]|0;if(!b){a=170648;break}}if((v|0)==151)if(!(c[b+12>>2]&8)){c[b>>2]=g;m=b+4|0;c[m>>2]=(c[m>>2]|0)+h;m=g+8|0;m=g+((m&7|0)==0?0:0-m&7)|0;b=a+8|0;b=a+((b&7|0)==0?0:0-b&7)|0;k=m+n|0;i=b-m-n|0;c[m+4>>2]=n|3;do if((j|0)!=(b|0)){if((c[42555]|0)==(b|0)){w=(c[42552]|0)+i|0;c[42552]=w;c[42555]=k;c[k+4>>2]=w|1;c[k+w>>2]=w;break}a=c[b+4>>2]|0;if((a&3|0)==1){h=a&-8;e=a>>>3;d:do if(a>>>0<256){a=c[b+8>>2]|0;d=c[b+12>>2]|0;if((d|0)==(a|0)){c[42550]=c[42550]&~(1<<e);break}else{c[a+12>>2]=d;c[d+8>>2]=a;break}}else{g=c[b+24>>2]|0;a=c[b+12>>2]|0;do if((a|0)==(b|0)){e=b+16|0;d=e+4|0;a=c[d>>2]|0;if(!a){a=c[e>>2]|0;if(!a){a=0;break}else d=e}while(1){e=a+20|0;f=c[e>>2]|0;if(f|0){a=f;d=e;continue}e=a+16|0;f=c[e>>2]|0;if(!f)break;else{a=f;d=e}}c[d>>2]=0}else{w=c[b+8>>2]|0;c[w+12>>2]=a;c[a+8>>2]=w}while(0);if(!g)break;d=c[b+28>>2]|0;e=170504+(d<<2)|0;do if((c[e>>2]|0)!=(b|0)){c[g+16+(((c[g+16>>2]|0)!=(b|0)&1)<<2)>>2]=a;if(!a)break d}else{c[e>>2]=a;if(a|0)break;c[42551]=c[42551]&~(1<<d);break d}while(0);c[a+24>>2]=g;d=b+16|0;e=c[d>>2]|0;if(e|0){c[a+16>>2]=e;c[e+24>>2]=a}d=c[d+4>>2]|0;if(!d)break;c[a+20>>2]=d;c[d+24>>2]=a}while(0);b=b+h|0;f=h+i|0}else f=i;b=b+4|0;c[b>>2]=c[b>>2]&-2;c[k+4>>2]=f|1;c[k+f>>2]=f;b=f>>>3;if(f>>>0<256){d=170240+(b<<1<<2)|0;a=c[42550]|0;b=1<<b;if(!(a&b)){c[42550]=a|b;b=d;a=d+8|0}else{a=d+8|0;b=c[a>>2]|0}c[a>>2]=k;c[b+12>>2]=k;c[k+8>>2]=b;c[k+12>>2]=d;break}b=f>>>8;do if(!b)b=0;else{if(f>>>0>16777215){b=31;break}v=(b+1048320|0)>>>16&8;w=b<<v;u=(w+520192|0)>>>16&4;w=w<<u;b=(w+245760|0)>>>16&2;b=14-(u|v|b)+(w<<b>>>15)|0;b=f>>>(b+7|0)&1|b<<1}while(0);e=170504+(b<<2)|0;c[k+28>>2]=b;a=k+16|0;c[a+4>>2]=0;c[a>>2]=0;a=c[42551]|0;d=1<<b;if(!(a&d)){c[42551]=a|d;c[e>>2]=k;c[k+24>>2]=e;c[k+12>>2]=k;c[k+8>>2]=k;break}a=f<<((b|0)==31?0:25-(b>>>1)|0);d=c[e>>2]|0;while(1){if((c[d+4>>2]&-8|0)==(f|0)){v=192;break}e=d+16+(a>>>31<<2)|0;b=c[e>>2]|0;if(!b){v=191;break}else{a=a<<1;d=b}}if((v|0)==191){c[e>>2]=k;c[k+24>>2]=d;c[k+12>>2]=k;c[k+8>>2]=k;break}else if((v|0)==192){v=d+8|0;w=c[v>>2]|0;c[w+12>>2]=k;c[v>>2]=k;c[k+8>>2]=w;c[k+12>>2]=d;c[k+24>>2]=0;break}}else{w=(c[42553]|0)+i|0;c[42553]=w;c[42556]=k;c[k+4>>2]=w|1}while(0);w=m+8|0;l=x;return w|0}else a=170648;while(1){b=c[a>>2]|0;if(b>>>0<=j>>>0?(w=b+(c[a+4>>2]|0)|0,w>>>0>j>>>0):0)break;a=c[a+8>>2]|0}f=w+-47|0;a=f+8|0;a=f+((a&7|0)==0?0:0-a&7)|0;f=j+16|0;a=a>>>0<f>>>0?j:a;b=a+8|0;d=h+-40|0;u=g+8|0;u=(u&7|0)==0?0:0-u&7;v=g+u|0;u=d-u|0;c[42556]=v;c[42553]=u;c[v+4>>2]=u|1;c[g+d+4>>2]=40;c[42557]=c[42672];d=a+4|0;c[d>>2]=27;c[b>>2]=c[42662];c[b+4>>2]=c[42663];c[b+8>>2]=c[42664];c[b+12>>2]=c[42665];c[42662]=g;c[42663]=h;c[42665]=0;c[42664]=b;b=a+24|0;do{v=b;b=b+4|0;c[b>>2]=7}while((v+8|0)>>>0<w>>>0);if((a|0)!=(j|0)){g=a-j|0;c[d>>2]=c[d>>2]&-2;c[j+4>>2]=g|1;c[a>>2]=g;b=g>>>3;if(g>>>0<256){d=170240+(b<<1<<2)|0;a=c[42550]|0;b=1<<b;if(!(a&b)){c[42550]=a|b;b=d;a=d+8|0}else{a=d+8|0;b=c[a>>2]|0}c[a>>2]=j;c[b+12>>2]=j;c[j+8>>2]=b;c[j+12>>2]=d;break}b=g>>>8;if(b)if(g>>>0>16777215)d=31;else{v=(b+1048320|0)>>>16&8;w=b<<v;u=(w+520192|0)>>>16&4;w=w<<u;d=(w+245760|0)>>>16&2;d=14-(u|v|d)+(w<<d>>>15)|0;d=g>>>(d+7|0)&1|d<<1}else d=0;e=170504+(d<<2)|0;c[j+28>>2]=d;c[j+20>>2]=0;c[f>>2]=0;b=c[42551]|0;a=1<<d;if(!(b&a)){c[42551]=b|a;c[e>>2]=j;c[j+24>>2]=e;c[j+12>>2]=j;c[j+8>>2]=j;break}a=g<<((d|0)==31?0:25-(d>>>1)|0);d=c[e>>2]|0;while(1){if((c[d+4>>2]&-8|0)==(g|0)){v=213;break}e=d+16+(a>>>31<<2)|0;b=c[e>>2]|0;if(!b){v=212;break}else{a=a<<1;d=b}}if((v|0)==212){c[e>>2]=j;c[j+24>>2]=d;c[j+12>>2]=j;c[j+8>>2]=j;break}else if((v|0)==213){v=d+8|0;w=c[v>>2]|0;c[w+12>>2]=j;c[v>>2]=j;c[j+8>>2]=w;c[j+12>>2]=d;c[j+24>>2]=0;break}}}else{w=c[42554]|0;if((w|0)==0|g>>>0<w>>>0)c[42554]=g;c[42662]=g;c[42663]=h;c[42665]=0;c[42559]=c[42668];c[42558]=-1;c[42563]=170240;c[42562]=170240;c[42565]=170248;c[42564]=170248;c[42567]=170256;c[42566]=170256;c[42569]=170264;c[42568]=170264;c[42571]=170272;c[42570]=170272;c[42573]=170280;c[42572]=170280;c[42575]=170288;c[42574]=170288;c[42577]=170296;c[42576]=170296;c[42579]=170304;c[42578]=170304;c[42581]=170312;c[42580]=170312;c[42583]=170320;c[42582]=170320;c[42585]=170328;c[42584]=170328;c[42587]=170336;c[42586]=170336;c[42589]=170344;c[42588]=170344;c[42591]=170352;c[42590]=170352;c[42593]=170360;c[42592]=170360;c[42595]=170368;c[42594]=170368;c[42597]=170376;c[42596]=170376;c[42599]=170384;c[42598]=170384;c[42601]=170392;c[42600]=170392;c[42603]=170400;c[42602]=170400;c[42605]=170408;c[42604]=170408;c[42607]=170416;c[42606]=170416;c[42609]=170424;c[42608]=170424;c[42611]=170432;c[42610]=170432;c[42613]=170440;c[42612]=170440;c[42615]=170448;c[42614]=170448;c[42617]=170456;c[42616]=170456;c[42619]=170464;c[42618]=170464;c[42621]=170472;c[42620]=170472;c[42623]=170480;c[42622]=170480;c[42625]=170488;c[42624]=170488;w=h+-40|0;u=g+8|0;u=(u&7|0)==0?0:0-u&7;v=g+u|0;u=w-u|0;c[42556]=v;c[42553]=u;c[v+4>>2]=u|1;c[g+w+4>>2]=40;c[42557]=c[42672]}while(0);b=c[42553]|0;if(b>>>0>n>>>0){u=b-n|0;c[42553]=u;w=c[42556]|0;v=w+n|0;c[42556]=v;c[v+4>>2]=u|1;c[w+4>>2]=n|3;w=w+8|0;l=x;return w|0}}c[(jJ()|0)>>2]=12;w=0;l=x;return w|0}function _I(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0;if(!a)return;d=a+-8|0;f=c[42554]|0;a=c[a+-4>>2]|0;b=a&-8;j=d+b|0;do if(!(a&1)){e=c[d>>2]|0;if(!(a&3))return;h=d+(0-e)|0;g=e+b|0;if(h>>>0<f>>>0)return;if((c[42555]|0)==(h|0)){a=j+4|0;b=c[a>>2]|0;if((b&3|0)!=3){i=h;b=g;break}c[42552]=g;c[a>>2]=b&-2;c[h+4>>2]=g|1;c[h+g>>2]=g;return}d=e>>>3;if(e>>>0<256){a=c[h+8>>2]|0;b=c[h+12>>2]|0;if((b|0)==(a|0)){c[42550]=c[42550]&~(1<<d);i=h;b=g;break}else{c[a+12>>2]=b;c[b+8>>2]=a;i=h;b=g;break}}f=c[h+24>>2]|0;a=c[h+12>>2]|0;do if((a|0)==(h|0)){d=h+16|0;b=d+4|0;a=c[b>>2]|0;if(!a){a=c[d>>2]|0;if(!a){a=0;break}else b=d}while(1){d=a+20|0;e=c[d>>2]|0;if(e|0){a=e;b=d;continue}d=a+16|0;e=c[d>>2]|0;if(!e)break;else{a=e;b=d}}c[b>>2]=0}else{i=c[h+8>>2]|0;c[i+12>>2]=a;c[a+8>>2]=i}while(0);if(f){b=c[h+28>>2]|0;d=170504+(b<<2)|0;if((c[d>>2]|0)==(h|0)){c[d>>2]=a;if(!a){c[42551]=c[42551]&~(1<<b);i=h;b=g;break}}else{c[f+16+(((c[f+16>>2]|0)!=(h|0)&1)<<2)>>2]=a;if(!a){i=h;b=g;break}}c[a+24>>2]=f;b=h+16|0;d=c[b>>2]|0;if(d|0){c[a+16>>2]=d;c[d+24>>2]=a}b=c[b+4>>2]|0;if(b){c[a+20>>2]=b;c[b+24>>2]=a;i=h;b=g}else{i=h;b=g}}else{i=h;b=g}}else{i=d;h=d}while(0);if(h>>>0>=j>>>0)return;a=j+4|0;e=c[a>>2]|0;if(!(e&1))return;if(!(e&2)){if((c[42556]|0)==(j|0)){j=(c[42553]|0)+b|0;c[42553]=j;c[42556]=i;c[i+4>>2]=j|1;if((i|0)!=(c[42555]|0))return;c[42555]=0;c[42552]=0;return}if((c[42555]|0)==(j|0)){j=(c[42552]|0)+b|0;c[42552]=j;c[42555]=h;c[i+4>>2]=j|1;c[h+j>>2]=j;return}f=(e&-8)+b|0;d=e>>>3;do if(e>>>0<256){b=c[j+8>>2]|0;a=c[j+12>>2]|0;if((a|0)==(b|0)){c[42550]=c[42550]&~(1<<d);break}else{c[b+12>>2]=a;c[a+8>>2]=b;break}}else{g=c[j+24>>2]|0;a=c[j+12>>2]|0;do if((a|0)==(j|0)){d=j+16|0;b=d+4|0;a=c[b>>2]|0;if(!a){a=c[d>>2]|0;if(!a){d=0;break}else b=d}while(1){d=a+20|0;e=c[d>>2]|0;if(e|0){a=e;b=d;continue}d=a+16|0;e=c[d>>2]|0;if(!e)break;else{a=e;b=d}}c[b>>2]=0;d=a}else{d=c[j+8>>2]|0;c[d+12>>2]=a;c[a+8>>2]=d;d=a}while(0);if(g|0){a=c[j+28>>2]|0;b=170504+(a<<2)|0;if((c[b>>2]|0)==(j|0)){c[b>>2]=d;if(!d){c[42551]=c[42551]&~(1<<a);break}}else{c[g+16+(((c[g+16>>2]|0)!=(j|0)&1)<<2)>>2]=d;if(!d)break}c[d+24>>2]=g;a=j+16|0;b=c[a>>2]|0;if(b|0){c[d+16>>2]=b;c[b+24>>2]=d}a=c[a+4>>2]|0;if(a|0){c[d+20>>2]=a;c[a+24>>2]=d}}}while(0);c[i+4>>2]=f|1;c[h+f>>2]=f;if((i|0)==(c[42555]|0)){c[42552]=f;return}}else{c[a>>2]=e&-2;c[i+4>>2]=b|1;c[h+b>>2]=b;f=b}a=f>>>3;if(f>>>0<256){d=170240+(a<<1<<2)|0;b=c[42550]|0;a=1<<a;if(!(b&a)){c[42550]=b|a;a=d;b=d+8|0}else{b=d+8|0;a=c[b>>2]|0}c[b>>2]=i;c[a+12>>2]=i;c[i+8>>2]=a;c[i+12>>2]=d;return}a=f>>>8;if(a)if(f>>>0>16777215)a=31;else{h=(a+1048320|0)>>>16&8;j=a<<h;g=(j+520192|0)>>>16&4;j=j<<g;a=(j+245760|0)>>>16&2;a=14-(g|h|a)+(j<<a>>>15)|0;a=f>>>(a+7|0)&1|a<<1}else a=0;e=170504+(a<<2)|0;c[i+28>>2]=a;c[i+20>>2]=0;c[i+16>>2]=0;b=c[42551]|0;d=1<<a;do if(b&d){b=f<<((a|0)==31?0:25-(a>>>1)|0);d=c[e>>2]|0;while(1){if((c[d+4>>2]&-8|0)==(f|0)){a=73;break}e=d+16+(b>>>31<<2)|0;a=c[e>>2]|0;if(!a){a=72;break}else{b=b<<1;d=a}}if((a|0)==72){c[e>>2]=i;c[i+24>>2]=d;c[i+12>>2]=i;c[i+8>>2]=i;break}else if((a|0)==73){h=d+8|0;j=c[h>>2]|0;c[j+12>>2]=i;c[h>>2]=i;c[i+8>>2]=j;c[i+12>>2]=d;c[i+24>>2]=0;break}}else{c[42551]=b|d;c[e>>2]=i;c[i+24>>2]=e;c[i+12>>2]=i;c[i+8>>2]=i}while(0);j=(c[42558]|0)+-1|0;c[42558]=j;if(!j)a=170656;else return;while(1){a=c[a>>2]|0;if(!a)break;else a=a+8|0}c[42558]=-1;return}function $I(a,b){a=a|0;b=b|0;var d=0;if(a){d=O(b,a)|0;if((b|a)>>>0>65535)d=((d>>>0)/(a>>>0)|0|0)==(b|0)?d:-1}else d=0;a=ZI(d)|0;if(!a)return a|0;if(!(c[a+-4>>2]&3))return a|0;VN(a|0,0,d|0)|0;return a|0}function aJ(a,b){a=a|0;b=b|0;var d=0,e=0;if(!a){b=ZI(b)|0;return b|0}if(b>>>0>4294967231){c[(jJ()|0)>>2]=12;b=0;return b|0}d=bJ(a+-8|0,b>>>0<11?16:b+11&-8)|0;if(d|0){b=d+8|0;return b|0}d=ZI(b)|0;if(!d){b=0;return b|0}e=c[a+-4>>2]|0;e=(e&-8)-((e&3|0)==0?8:4)|0;TN(d|0,a|0,(e>>>0<b>>>0?e:b)|0)|0;_I(a);b=d;return b|0}function bJ(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;l=a+4|0;m=c[l>>2]|0;d=m&-8;i=a+d|0;if(!(m&3)){if(b>>>0<256){a=0;return a|0}if(d>>>0>=(b+4|0)>>>0?(d-b|0)>>>0<=c[42670]<<1>>>0:0)return a|0;a=0;return a|0}if(d>>>0>=b>>>0){d=d-b|0;if(d>>>0<=15)return a|0;k=a+b|0;c[l>>2]=m&1|b|2;c[k+4>>2]=d|3;m=i+4|0;c[m>>2]=c[m>>2]|1;cJ(k,d);return a|0}if((c[42556]|0)==(i|0)){k=(c[42553]|0)+d|0;d=k-b|0;e=a+b|0;if(k>>>0<=b>>>0){a=0;return a|0}c[l>>2]=m&1|b|2;c[e+4>>2]=d|1;c[42556]=e;c[42553]=d;return a|0}if((c[42555]|0)==(i|0)){e=(c[42552]|0)+d|0;if(e>>>0<b>>>0){a=0;return a|0}d=e-b|0;if(d>>>0>15){k=a+b|0;e=a+e|0;c[l>>2]=m&1|b|2;c[k+4>>2]=d|1;c[e>>2]=d;e=e+4|0;c[e>>2]=c[e>>2]&-2;e=k}else{c[l>>2]=m&1|e|2;e=a+e+4|0;c[e>>2]=c[e>>2]|1;e=0;d=0}c[42552]=d;c[42555]=e;return a|0}e=c[i+4>>2]|0;if(e&2|0){a=0;return a|0}j=(e&-8)+d|0;if(j>>>0<b>>>0){a=0;return a|0}k=j-b|0;f=e>>>3;do if(e>>>0<256){e=c[i+8>>2]|0;d=c[i+12>>2]|0;if((d|0)==(e|0)){c[42550]=c[42550]&~(1<<f);break}else{c[e+12>>2]=d;c[d+8>>2]=e;break}}else{h=c[i+24>>2]|0;d=c[i+12>>2]|0;do if((d|0)==(i|0)){f=i+16|0;e=f+4|0;d=c[e>>2]|0;if(!d){d=c[f>>2]|0;if(!d){f=0;break}else g=f}else g=e;while(1){f=d+20|0;e=c[f>>2]|0;if(e|0){d=e;g=f;continue}e=d+16|0;f=c[e>>2]|0;if(!f)break;else{d=f;g=e}}c[g>>2]=0;f=d}else{f=c[i+8>>2]|0;c[f+12>>2]=d;c[d+8>>2]=f;f=d}while(0);if(h|0){d=c[i+28>>2]|0;e=170504+(d<<2)|0;if((c[e>>2]|0)==(i|0)){c[e>>2]=f;if(!f){c[42551]=c[42551]&~(1<<d);break}}else{c[h+16+(((c[h+16>>2]|0)!=(i|0)&1)<<2)>>2]=f;if(!f)break}c[f+24>>2]=h;d=i+16|0;e=c[d>>2]|0;if(e|0){c[f+16>>2]=e;c[e+24>>2]=f}d=c[d+4>>2]|0;if(d|0){c[f+20>>2]=d;c[d+24>>2]=f}}}while(0);if(k>>>0<16){c[l>>2]=j|m&1|2;m=a+j+4|0;c[m>>2]=c[m>>2]|1;return a|0}else{i=a+b|0;c[l>>2]=m&1|b|2;c[i+4>>2]=k|3;m=a+j+4|0;c[m>>2]=c[m>>2]|1;cJ(i,k);return a|0}return 0}function cJ(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=a+b|0;d=c[a+4>>2]|0;do if(!(d&1)){f=c[a>>2]|0;if(!(d&3))return;h=a+(0-f)|0;b=f+b|0;if((c[42555]|0)==(h|0)){a=i+4|0;d=c[a>>2]|0;if((d&3|0)!=3)break;c[42552]=b;c[a>>2]=d&-2;c[h+4>>2]=b|1;c[i>>2]=b;return}e=f>>>3;if(f>>>0<256){a=c[h+8>>2]|0;d=c[h+12>>2]|0;if((d|0)==(a|0)){c[42550]=c[42550]&~(1<<e);break}else{c[a+12>>2]=d;c[d+8>>2]=a;break}}g=c[h+24>>2]|0;a=c[h+12>>2]|0;do if((a|0)==(h|0)){e=h+16|0;d=e+4|0;a=c[d>>2]|0;if(!a){a=c[e>>2]|0;if(!a){a=0;break}else d=e}while(1){e=a+20|0;f=c[e>>2]|0;if(f|0){a=f;d=e;continue}e=a+16|0;f=c[e>>2]|0;if(!f)break;else{a=f;d=e}}c[d>>2]=0}else{f=c[h+8>>2]|0;c[f+12>>2]=a;c[a+8>>2]=f}while(0);if(g){d=c[h+28>>2]|0;e=170504+(d<<2)|0;if((c[e>>2]|0)==(h|0)){c[e>>2]=a;if(!a){c[42551]=c[42551]&~(1<<d);break}}else{c[g+16+(((c[g+16>>2]|0)!=(h|0)&1)<<2)>>2]=a;if(!a)break}c[a+24>>2]=g;d=h+16|0;e=c[d>>2]|0;if(e|0){c[a+16>>2]=e;c[e+24>>2]=a}d=c[d+4>>2]|0;if(d){c[a+20>>2]=d;c[d+24>>2]=a}}}else h=a;while(0);a=i+4|0;e=c[a>>2]|0;if(!(e&2)){if((c[42556]|0)==(i|0)){i=(c[42553]|0)+b|0;c[42553]=i;c[42556]=h;c[h+4>>2]=i|1;if((h|0)!=(c[42555]|0))return;c[42555]=0;c[42552]=0;return}if((c[42555]|0)==(i|0)){i=(c[42552]|0)+b|0;c[42552]=i;c[42555]=h;c[h+4>>2]=i|1;c[h+i>>2]=i;return}f=(e&-8)+b|0;d=e>>>3;do if(e>>>0<256){a=c[i+8>>2]|0;b=c[i+12>>2]|0;if((b|0)==(a|0)){c[42550]=c[42550]&~(1<<d);break}else{c[a+12>>2]=b;c[b+8>>2]=a;break}}else{g=c[i+24>>2]|0;b=c[i+12>>2]|0;do if((b|0)==(i|0)){d=i+16|0;a=d+4|0;b=c[a>>2]|0;if(!b){b=c[d>>2]|0;if(!b){d=0;break}else a=d}while(1){d=b+20|0;e=c[d>>2]|0;if(e|0){b=e;a=d;continue}d=b+16|0;e=c[d>>2]|0;if(!e)break;else{b=e;a=d}}c[a>>2]=0;d=b}else{d=c[i+8>>2]|0;c[d+12>>2]=b;c[b+8>>2]=d;d=b}while(0);if(g|0){b=c[i+28>>2]|0;a=170504+(b<<2)|0;if((c[a>>2]|0)==(i|0)){c[a>>2]=d;if(!d){c[42551]=c[42551]&~(1<<b);break}}else{c[g+16+(((c[g+16>>2]|0)!=(i|0)&1)<<2)>>2]=d;if(!d)break}c[d+24>>2]=g;b=i+16|0;a=c[b>>2]|0;if(a|0){c[d+16>>2]=a;c[a+24>>2]=d}b=c[b+4>>2]|0;if(b|0){c[d+20>>2]=b;c[b+24>>2]=d}}}while(0);c[h+4>>2]=f|1;c[h+f>>2]=f;if((h|0)==(c[42555]|0)){c[42552]=f;return}}else{c[a>>2]=e&-2;c[h+4>>2]=b|1;c[h+b>>2]=b;f=b}b=f>>>3;if(f>>>0<256){d=170240+(b<<1<<2)|0;a=c[42550]|0;b=1<<b;if(!(a&b)){c[42550]=a|b;b=d;a=d+8|0}else{a=d+8|0;b=c[a>>2]|0}c[a>>2]=h;c[b+12>>2]=h;c[h+8>>2]=b;c[h+12>>2]=d;return}b=f>>>8;if(b)if(f>>>0>16777215)b=31;else{g=(b+1048320|0)>>>16&8;i=b<<g;e=(i+520192|0)>>>16&4;i=i<<e;b=(i+245760|0)>>>16&2;b=14-(e|g|b)+(i<<b>>>15)|0;b=f>>>(b+7|0)&1|b<<1}else b=0;e=170504+(b<<2)|0;c[h+28>>2]=b;c[h+20>>2]=0;c[h+16>>2]=0;a=c[42551]|0;d=1<<b;if(!(a&d)){c[42551]=a|d;c[e>>2]=h;c[h+24>>2]=e;c[h+12>>2]=h;c[h+8>>2]=h;return}a=f<<((b|0)==31?0:25-(b>>>1)|0);d=c[e>>2]|0;while(1){if((c[d+4>>2]&-8|0)==(f|0)){b=69;break}e=d+16+(a>>>31<<2)|0;b=c[e>>2]|0;if(!b){b=68;break}else{a=a<<1;d=b}}if((b|0)==68){c[e>>2]=h;c[h+24>>2]=d;c[h+12>>2]=h;c[h+8>>2]=h;return}else if((b|0)==69){g=d+8|0;i=c[g>>2]|0;c[i+12>>2]=h;c[g>>2]=h;c[h+8>>2]=i;c[h+12>>2]=d;c[h+24>>2]=0;return}}function dJ(a,b){a=a|0;b=b|0;if(a>>>0<9){b=ZI(b)|0;return b|0}else{b=eJ(a,b)|0;return b|0}return 0}function eJ(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;a=a>>>0>16?a:16;if(a+-1&a){d=16;while(1)if(d>>>0<a>>>0)d=d<<1;else{a=d;break}}if((-64-a|0)>>>0<=b>>>0){c[(jJ()|0)>>2]=12;h=0;return h|0}g=b>>>0<11?16:b+11&-8;d=ZI(g+12+a|0)|0;if(!d){h=0;return h|0}f=d+-8|0;do if(a+-1&d){e=(d+a+-1&0-a)+-8|0;b=f;e=(e-b|0)>>>0>15?e:e+a|0;b=e-b|0;a=d+-4|0;i=c[a>>2]|0;d=(i&-8)-b|0;if(!(i&3)){c[e>>2]=(c[f>>2]|0)+b;c[e+4>>2]=d;a=e;b=e;break}else{i=e+4|0;c[i>>2]=d|c[i>>2]&1|2;d=e+d+4|0;c[d>>2]=c[d>>2]|1;c[a>>2]=b|c[a>>2]&1|2;c[i>>2]=c[i>>2]|1;cJ(f,b);a=e;b=e;break}}else{a=f;b=f}while(0);a=a+4|0;d=c[a>>2]|0;if(d&3|0?(h=d&-8,h>>>0>(g+16|0)>>>0):0){i=h-g|0;f=b+g|0;c[a>>2]=g|d&1|2;c[f+4>>2]=i|3;h=b+h+4|0;c[h>>2]=c[h>>2]|1;cJ(f,i)}i=b+8|0;return i|0}function fJ(a){a=a|0;var b=0,d=0;b=l;l=l+16|0;d=b;c[d>>2]=kJ(c[a+60>>2]|0)|0;a=iJ(Da(6,d|0)|0)|0;l=b;return a|0}function gJ(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0;k=l;l=l+32|0;f=k;i=k+16|0;c[i>>2]=d;g=i+4|0;j=b+48|0;m=c[j>>2]|0;c[g>>2]=e-((m|0)!=0&1);h=b+44|0;c[i+8>>2]=c[h>>2];c[i+12>>2]=m;c[f>>2]=c[b+60>>2];c[f+4>>2]=i;c[f+8>>2]=2;f=iJ(ua(145,f|0)|0)|0;if((f|0)>=1){i=c[g>>2]|0;if(f>>>0>i>>>0){g=c[h>>2]|0;h=b+4|0;c[h>>2]=g;c[b+8>>2]=g+(f-i);if(!(c[j>>2]|0))f=e;else{c[h>>2]=g+1;a[d+(e+-1)>>0]=a[g>>0]|0;f=e}}}else c[b>>2]=c[b>>2]|f&48^16;l=k;return f|0}function hJ(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;f=l;l=l+32|0;g=f;e=f+20|0;c[g>>2]=c[a+60>>2];c[g+4>>2]=0;c[g+8>>2]=b;c[g+12>>2]=e;c[g+16>>2]=d;if((iJ(ta(140,g|0)|0)|0)<0){c[e>>2]=-1;a=-1}else a=c[e>>2]|0;l=f;return a|0}function iJ(a){a=a|0;if(a>>>0>4294963200){c[(jJ()|0)>>2]=0-a;a=-1}return a|0}function jJ(){return 170696}function kJ(a){a=a|0;return a|0}function lJ(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0;g=l;l=l+32|0;f=g;c[b+36>>2]=9;if((c[b>>2]&64|0)==0?(c[f>>2]=c[b+60>>2],c[f+4>>2]=21523,c[f+8>>2]=g+16,Ca(54,f|0)|0):0)a[b+75>>0]=-1;f=mJ(b,d,e)|0;l=g;return f|0}function mJ(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;n=l;l=l+48|0;k=n+16|0;g=n;f=n+32|0;i=a+28|0;e=c[i>>2]|0;c[f>>2]=e;j=a+20|0;e=(c[j>>2]|0)-e|0;c[f+4>>2]=e;c[f+8>>2]=b;c[f+12>>2]=d;e=e+d|0;h=a+60|0;c[g>>2]=c[h>>2];c[g+4>>2]=f;c[g+8>>2]=2;g=iJ(va(146,g|0)|0)|0;a:do if((e|0)!=(g|0)){b=2;while(1){if((g|0)<0)break;e=e-g|0;p=c[f+4>>2]|0;o=g>>>0>p>>>0;f=o?f+8|0:f;b=b+(o<<31>>31)|0;p=g-(o?p:0)|0;c[f>>2]=(c[f>>2]|0)+p;o=f+4|0;c[o>>2]=(c[o>>2]|0)-p;c[k>>2]=c[h>>2];c[k+4>>2]=f;c[k+8>>2]=b;g=iJ(va(146,k|0)|0)|0;if((e|0)==(g|0)){m=3;break a}}c[a+16>>2]=0;c[i>>2]=0;c[j>>2]=0;c[a>>2]=c[a>>2]|32;if((b|0)==2)d=0;else d=d-(c[f+4>>2]|0)|0}else m=3;while(0);if((m|0)==3){p=c[a+44>>2]|0;c[a+16>>2]=p+(c[a+48>>2]|0);c[i>>2]=p;c[j>>2]=p}l=n;return d|0}function nJ(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=a;c[e+4>>2]=b;b=iJ(Ea(91,e|0)|0)|0;l=d;return b|0}function oJ(){return}function pJ(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0;i=l;l=l+32|0;h=i;do if((g&4095|0)==0&(((g|0)<0)<<31>>31&-4096|0)==0){if(b>>>0>2147483646){c[(jJ()|0)>>2]=12;a=-1;break}c[h>>2]=a;c[h+4>>2]=b;c[h+8>>2]=d;c[h+12>>2]=e;c[h+16>>2]=f;c[h+20>>2]=g>>12;a=iJ(wa(192,h|0)|0)|0}else{c[(jJ()|0)>>2]=22;a=-1}while(0);l=i;return a|0}function qJ(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;f=d&255;a:do if(!f)b=b+(rJ(b)|0)|0;else{if(b&3){e=d&255;do{g=a[b>>0]|0;if(g<<24>>24==0?1:g<<24>>24==e<<24>>24)break a;b=b+1|0}while((b&3|0)!=0)}f=O(f,16843009)|0;e=c[b>>2]|0;b:do if(!((e&-2139062144^-2139062144)&e+-16843009))do{g=e^f;if((g&-2139062144^-2139062144)&g+-16843009|0)break b;b=b+4|0;e=c[b>>2]|0}while(!((e&-2139062144^-2139062144)&e+-16843009|0));while(0);e=d&255;while(1){g=a[b>>0]|0;if(g<<24>>24==0?1:g<<24>>24==e<<24>>24)break;else b=b+1|0}}while(0);return b|0}function rJ(b){b=b|0;var d=0,e=0,f=0;f=b;a:do if(!(f&3))e=4;else{d=f;while(1){if(!(a[b>>0]|0)){b=d;break a}b=b+1|0;d=b;if(!(d&3)){e=4;break}}}while(0);if((e|0)==4){while(1){d=c[b>>2]|0;if(!((d&-2139062144^-2139062144)&d+-16843009))b=b+4|0;else break}if((d&255)<<24>>24)do b=b+1|0;while((a[b>>0]|0)!=0)}return b-f|0}function sJ(b,e){b=b|0;e=e|0;var f=0,g=0;g=0;while(1){if((d[125833+g>>0]|0)==(b|0)){b=2;break}f=g+1|0;if((f|0)==87){f=125921;g=87;b=5;break}else g=f}if((b|0)==2)if(!g)f=125921;else{f=125921;b=5}if((b|0)==5)while(1){do{b=f;f=f+1|0}while((a[b>>0]|0)!=0);g=g+-1|0;if(!g)break;else b=5}return tJ(f,c[e+20>>2]|0)|0}function tJ(a,b){a=a|0;b=b|0;return uJ(a,b)|0}function uJ(a,b){a=a|0;b=b|0;if(!b)b=0;else b=vJ(c[b>>2]|0,c[b+4>>2]|0,a)|0;return (b|0?b:a)|0}function vJ(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;o=(c[b>>2]|0)+1794895138|0;h=wJ(c[b+8>>2]|0,o)|0;f=wJ(c[b+12>>2]|0,o)|0;g=wJ(c[b+16>>2]|0,o)|0;a:do if((h>>>0<d>>>2>>>0?(n=d-(h<<2)|0,f>>>0<n>>>0&g>>>0<n>>>0):0)?((g|f)&3|0)==0:0){n=f>>>2;m=g>>>2;l=0;while(1){j=h>>>1;k=l+j|0;i=k<<1;g=i+n|0;f=wJ(c[b+(g<<2)>>2]|0,o)|0;g=wJ(c[b+(g+1<<2)>>2]|0,o)|0;if(!(g>>>0<d>>>0&f>>>0<(d-g|0)>>>0)){f=0;break a}if(a[b+(g+f)>>0]|0){f=0;break a}f=xJ(e,b+g|0)|0;if(!f)break;f=(f|0)<0;if((h|0)==1){f=0;break a}else{l=f?l:k;h=f?j:h-j|0}}f=i+m|0;g=wJ(c[b+(f<<2)>>2]|0,o)|0;f=wJ(c[b+(f+1<<2)>>2]|0,o)|0;if(f>>>0<d>>>0&g>>>0<(d-f|0)>>>0)f=(a[b+(f+g)>>0]|0)==0?b+f|0:0;else f=0}else f=0;while(0);return f|0}function wJ(a,b){a=a|0;b=b|0;var c=0;c=QN(a|0)|0;return ((b|0)==0?a:c)|0}function xJ(b,c){b=b|0;c=c|0;var d=0,e=0;d=a[b>>0]|0;e=a[c>>0]|0;if(d<<24>>24==0?1:d<<24>>24!=e<<24>>24)b=e;else{do{b=b+1|0;c=c+1|0;d=a[b>>0]|0;e=a[c>>0]|0}while(!(d<<24>>24==0?1:d<<24>>24!=e<<24>>24));b=e}return (d&255)-(b&255)|0}function yJ(a){a=a|0;return sJ(a,c[(zJ()|0)+188>>2]|0)|0}function zJ(){return AJ()|0}function AJ(){return 55800}function BJ(a,b,c){a=+a;b=+b;c=c|0;var d=0.0,e=0.0,f=0.0;f=a*a;d=f*(f*f)*(f*1.58969099521155e-10+-2.5050760253406863e-08)+(f*(f*2.7557313707070068e-06+-1.984126982985795e-04)+.00833333333332249);e=f*a;if(!c)a=e*(f*d+-.16666666666666632)+a;else a=a-(e*.16666666666666632+(f*(b*.5-e*d)-b));return +a}function CJ(a){a=+a;var b=0,d=0,e=0,f=0,g=0.0,i=0.0,k=0.0,l=0.0,m=0.0;h[j>>3]=a;b=c[j>>2]|0;d=c[j+4>>2]|0;e=(d|0)<0;do if(e|d>>>0<1048576){if((b|0)==0&(d&2147483647|0)==0){a=-1.0/(a*a);break}if(e){a=(a-a)/0.0;break}else{h[j>>3]=a*18014398509481984.0;d=c[j+4>>2]|0;e=-1077;b=c[j>>2]|0;f=9;break}}else if(d>>>0<=2146435071)if((b|0)==0&0==0&(d|0)==1072693248)a=0.0;else{e=-1023;f=9}while(0);if((f|0)==9){f=d+614242|0;c[j>>2]=b;c[j+4>>2]=(f&1048575)+1072079006;m=+h[j>>3]+-1.0;k=m*(m*.5);i=m/(m+2.0);l=i*i;g=l*l;h[j>>3]=m-k;d=c[j+4>>2]|0;c[j>>2]=0;c[j+4>>2]=d;a=+h[j>>3];g=m-a-k+i*(k+(g*(g*(g*.15313837699209373+.22222198432149784)+.3999999999940942)+l*(g*(g*(g*.14798198605116586+.1818357216161805)+.2857142874366239)+.6666666666666735)));l=a*1.4426950407214463;k=+(e+(f>>>20)|0);i=l+k;a=i+(l+(k-i)+(g*1.4426950407214463+(g+a)*1.6751713164886512e-10))}return +a}function DJ(a,b){a=+a;b=b|0;var d=0,e=0,f=0;h[j>>3]=a;d=c[j>>2]|0;e=c[j+4>>2]|0;f=NN(d|0,e|0,52)|0;switch(f&2047){case 0:{if(a!=0.0){a=+DJ(a*18446744073709551616.0,b);d=(c[b>>2]|0)+-64|0}else d=0;c[b>>2]=d;break}case 2047:break;default:{c[b>>2]=(f&2047)+-1022;c[j>>2]=d;c[j+4>>2]=e&-2146435073|1071644672;a=+h[j>>3]}}return +a}function EJ(a,b){a=+a;b=+b;var c=0.0,d=0.0,e=0.0,f=0.0;c=a*a;d=c*c;e=c*.5;f=1.0-e;return +(f+(1.0-f-e+(c*(c*(c*(c*2.480158728947673e-05+-.001388888888887411)+.0416666666666666)+d*d*(c*(2.087572321298175e-09-c*1.1359647557788195e-11)+-2.7557314351390663e-07))-a*b)))}function FJ(a){a=+a;var b=0,d=0,e=0,f=0,g=0.0,i=0.0,k=0.0,l=0.0,m=0.0;h[j>>3]=a;b=c[j>>2]|0;d=c[j+4>>2]|0;e=(d|0)<0;do if(e|d>>>0<1048576){if((b|0)==0&(d&2147483647|0)==0){a=-1.0/(a*a);break}if(e){a=(a-a)/0.0;break}else{h[j>>3]=a*18014398509481984.0;d=c[j+4>>2]|0;e=-1077;b=c[j>>2]|0;f=9;break}}else if(d>>>0<=2146435071)if((b|0)==0&0==0&(d|0)==1072693248)a=0.0;else{e=-1023;f=9}while(0);if((f|0)==9){f=d+614242|0;c[j>>2]=b;c[j+4>>2]=(f&1048575)+1072079006;k=+h[j>>3]+-1.0;i=k*(k*.5);l=k/(k+2.0);m=l*l;g=m*m;h[j>>3]=k-i;d=c[j+4>>2]|0;c[j>>2]=0;c[j+4>>2]=d;a=+h[j>>3];g=k-a-i+l*(i+(g*(g*(g*.15313837699209373+.22222198432149784)+.3999999999940942)+m*(g*(g*(g*.14798198605116586+.1818357216161805)+.2857142874366239)+.6666666666666735)));m=a*.4342944818781689;i=+(e+(f>>>20)|0);l=i*.30102999566361177;k=l+m;a=k+(m+(l-k)+(g*.4342944818781689+(i*3.694239077158931e-13+(g+a)*2.5082946711645275e-11)))}return +a}function GJ(a,b){a=+a;b=b|0;var d=0,e=0.0,f=0.0,g=0.0,i=0,k=0.0,m=0,n=0,o=0,p=0,q=0,r=0,s=0.0;r=l;l=l+48|0;m=r+16|0;n=r;h[j>>3]=a;d=c[j>>2]|0;i=c[j+4>>2]|0;o=NN(d|0,i|0,63)|0;q=i&2147483647;do if(q>>>0<1074752123)if((i&1048575|0)!=598523){d=(o|0)!=0;if(q>>>0<1073928573)if(d){g=a+1.5707963267341256;k=g+6.077100506506192e-11;h[b>>3]=k;h[b+8>>3]=g-k+6.077100506506192e-11;d=-1;break}else{g=a+-1.5707963267341256;k=g+-6.077100506506192e-11;h[b>>3]=k;h[b+8>>3]=g-k+-6.077100506506192e-11;d=1;break}else if(d){g=a+3.1415926534682512;k=g+1.2154201013012384e-10;h[b>>3]=k;h[b+8>>3]=g-k+1.2154201013012384e-10;d=-2;break}else{g=a+-3.1415926534682512;k=g+-1.2154201013012384e-10;h[b>>3]=k;h[b+8>>3]=g-k+-1.2154201013012384e-10;d=2;break}}else p=21;else{if(q>>>0<1075594812)if(q>>>0<1075183037){if((q|0)==1074977148){p=21;break}if(!o){g=a+-4.712388980202377;k=g+-1.8231301519518578e-10;h[b>>3]=k;h[b+8>>3]=g-k+-1.8231301519518578e-10;d=3;break}else{g=a+4.712388980202377;k=g+1.8231301519518578e-10;h[b>>3]=k;h[b+8>>3]=g-k+1.8231301519518578e-10;d=-3;break}}else{if((q|0)==1075388923){p=21;break}if(!o){g=a+-6.2831853069365025;k=g+-2.430840202602477e-10;h[b>>3]=k;h[b+8>>3]=g-k+-2.430840202602477e-10;d=4;break}else{g=a+6.2831853069365025;k=g+2.430840202602477e-10;h[b>>3]=k;h[b+8>>3]=g-k+2.430840202602477e-10;d=-4;break}}if(q>>>0>=1094263291){if(q>>>0>2146435071){k=a-a;h[b+8>>3]=k;h[b>>3]=k;d=0;break}c[j>>2]=d;c[j+4>>2]=i&1048575|1096810496;a=+h[j>>3];d=0;do{k=+(~~a|0);h[m+(d<<3)>>3]=k;a=(a-k)*16777216.0;d=d+1|0}while((d|0)!=2);h[m+16>>3]=a;if(a==0.0){d=1;while(1)if(+h[m+(d<<3)>>3]==0.0)d=d+-1|0;else break}else d=2;d=HJ(m,n,(q>>>20)+-1046|0,d+1|0,1)|0;a=+h[n>>3];if(!o){h[b>>3]=a;h[b+8>>3]=+h[n+8>>3];break}else{h[b>>3]=-a;h[b+8>>3]=-+h[n+8>>3];d=0-d|0;break}}else p=21}while(0);if((p|0)==21){g=a*.6366197723675814+6755399441055744.0+-6755399441055744.0;d=~~g;e=a-g*1.5707963267341256;f=g*6.077100506506192e-11;a=e-f;h[b>>3]=a;h[j>>3]=a;p=NN(c[j>>2]|0,c[j+4>>2]|0,52)|0;i=q>>>20;if((i-(p&2047)|0)>16){f=g*6.077100506303966e-11;k=e-f;f=g*2.0222662487959506e-21-(e-k-f);a=k-f;h[b>>3]=a;h[j>>3]=a;q=NN(c[j>>2]|0,c[j+4>>2]|0,52)|0;s=g*2.0222662487111665e-21;e=k-s;g=g*8.4784276603689e-32-(k-e-s);if((i-(q&2047)|0)>49){a=e-g;h[b>>3]=a;f=g}else e=k}h[b+8>>3]=e-a-f}l=r;return d|0}function HJ(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0.0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0.0;H=l;l=l+560|0;C=H+480|0;z=H+320|0;G=H+160|0;E=H;D=c[56044+(f<<2)>>2]|0;p=e+-1|0;y=(d+-3|0)/24|0;y=(y|0)>0?y:0;B=O(y,-24)|0;j=d+-24+B|0;if((D+p|0)>=0){n=D+e|0;k=y-p|0;m=0;while(1){if((k|0)<0)g=0.0;else g=+(c[56060+(k<<2)>>2]|0);h[z+(m<<3)>>3]=g;m=m+1|0;if((m|0)==(n|0))break;else k=k+1|0}}o=(e|0)>0;n=0;while(1){if(o){m=n+p|0;g=0.0;k=0;do{g=g+ +h[a+(k<<3)>>3]*+h[z+(m-k<<3)>>3];k=k+1|0}while((k|0)!=(e|0))}else g=0.0;h[E+(n<<3)>>3]=g;if((n|0)<(D|0))n=n+1|0;else break}t=(j|0)>0;u=24-j|0;v=23-j|0;w=(e|0)>0;x=(j|0)==0;k=D;a:while(1){g=+h[E+(k<<3)>>3];o=(k|0)>0;if(o){m=k;n=0;while(1){i=+(~~(g*5.9604644775390625e-08)|0);c[C+(n<<2)>>2]=~~(g-i*16777216.0);s=m;m=m+-1|0;g=+h[E+(m<<3)>>3]+i;if((s|0)<=1)break;else n=n+1|0}}g=+IJ(g,j);g=g-+A(+(g*.125))*8.0;m=~~g;g=g-+(m|0);do if(!t)if(!x)if(!(g>=.5)){p=0;s=m;break}else{n=2;F=20;break}else{n=c[C+(k+-1<<2)>>2]>>23;F=19;break}else{s=C+(k+-1<<2)|0;n=c[s>>2]|0;F=n>>u;n=n-(F<<u)|0;c[s>>2]=n;n=n>>v;m=F+m|0;F=19}while(0);if((F|0)==19){F=0;if((n|0)>0)F=20;else{p=n;s=m}}if((F|0)==20){F=0;s=m+1|0;if(o){m=0;r=0;do{p=C+(r<<2)|0;q=c[p>>2]|0;if(!m)if(!q)m=0;else{m=1;o=16777216;F=23}else{o=16777215;F=23}if((F|0)==23){F=0;c[p>>2]=o-q}r=r+1|0}while((r|0)!=(k|0))}else m=0;b:do if(t){switch(j|0){case 1:{o=8388607;break}case 2:{o=4194303;break}default:break b}r=C+(k+-1<<2)|0;c[r>>2]=c[r>>2]&o}while(0);if((n|0)==2){g=1.0-g;if(!m)p=2;else{p=2;g=g-+IJ(1.0,j)}}else p=n}if(!(g==0.0)){F=42;break}if((k|0)>(D|0)){m=0;n=k;do{n=n+-1|0;m=c[C+(n<<2)>>2]|m}while((n|0)>(D|0));if(m){F=41;break}else m=1}else m=1;while(1)if(!(c[C+(D-m<<2)>>2]|0))m=m+1|0;else break;o=m+k|0;if((m|0)<=0){k=o;continue}while(1){n=k+1|0;m=k+e|0;h[z+(m<<3)>>3]=+(c[56060+(n+y<<2)>>2]|0);if(w){g=0.0;k=0;do{g=g+ +h[a+(k<<3)>>3]*+h[z+(m-k<<3)>>3];k=k+1|0}while((k|0)!=(e|0))}else g=0.0;h[E+(n<<3)>>3]=g;if((n|0)<(o|0))k=n;else{k=o;continue a}}}if((F|0)==41)while(1){F=0;j=j+-24|0;k=k+-1|0;if(!(c[C+(k<<2)>>2]|0))F=41;else{o=k;break}}else if((F|0)==42){g=+IJ(g,0-j|0);if(g>=16777216.0){i=+(~~(g*5.9604644775390625e-08)|0);c[C+(k<<2)>>2]=~~(g-i*16777216.0);j=B+d|0;k=k+1|0;g=i}c[C+(k<<2)>>2]=~~g;o=k}g=+IJ(1.0,j);n=(o|0)>-1;if(n){j=o;while(1){h[E+(j<<3)>>3]=g*+(c[C+(j<<2)>>2]|0);if((j|0)>0){g=g*5.9604644775390625e-08;j=j+-1|0}else break}if(n){k=o;while(1){m=o-k|0;j=0;g=0.0;while(1){g=g+ +h[10840+(j<<3)>>3]*+h[E+(j+k<<3)>>3];if((j|0)>=(D|0)|(j|0)>=(m|0))break;else j=j+1|0}h[G+(m<<3)>>3]=g;if((k|0)>0)k=k+-1|0;else break}}}switch(f|0){case 0:{if(n){g=0.0;j=o;while(1){g=g+ +h[G+(j<<3)>>3];if((j|0)>0)j=j+-1|0;else break}}else g=0.0;i=(p|0)==0?g:-g;F=72;break}case 2:case 1:{if(n){g=0.0;j=o;while(1){g=g+ +h[G+(j<<3)>>3];if((j|0)>0)j=j+-1|0;else break}}else g=0.0;k=(p|0)==0;h[b>>3]=k?g:-g;g=+h[G>>3]-g;if((o|0)>=1){j=1;while(1){g=g+ +h[G+(j<<3)>>3];if((j|0)==(o|0))break;else j=j+1|0}}i=k?g:-g;b=b+8|0;F=72;break}case 3:{if((o|0)>0){j=o;g=+h[G+(o<<3)>>3];do{F=j;j=j+-1|0;E=G+(j<<3)|0;i=+h[E>>3];I=g;g=i+g;h[G+(F<<3)>>3]=I+(i-g);h[E>>3]=g}while((F|0)>1);k=(o|0)>1;if(k){j=o;g=+h[G+(o<<3)>>3];do{F=j;j=j+-1|0;E=G+(j<<3)|0;I=+h[E>>3];i=g;g=I+g;h[G+(F<<3)>>3]=i+(I-g);h[E>>3]=g}while((F|0)>2);if(k){j=o;i=0.0;while(1){i=i+ +h[G+(j<<3)>>3];if((j|0)>2)j=j+-1|0;else break}}else i=0.0}else i=0.0}else i=0.0;g=+h[G>>3];if(!p){h[b>>3]=g;g=+h[G+8>>3]}else{h[b>>3]=-g;i=-i;g=-+h[G+8>>3]}h[b+8>>3]=g;b=b+16|0;F=72;break}default:{}}if((F|0)==72)h[b>>3]=i;l=H;return s&7|0}function IJ(a,b){a=+a;b=b|0;var d=0,e=0;if((b|0)<=1023){if((b|0)<-1022){a=a*2.2250738585072014e-308;e=(b|0)<-2044;d=b+2044|0;a=e?a*2.2250738585072014e-308:a;b=e?((d|0)>-1022?d:-1022):b+1022|0}}else{a=a*8988465674311579538646525.0e283;d=(b|0)>2046;e=b+-2046|0;a=d?a*8988465674311579538646525.0e283:a;b=d?((e|0)<1023?e:1023):b+-1023|0}d=ON(b+1023|0,0,52)|0;e=z;c[j>>2]=d;c[j+4>>2]=e;return +(a*+h[j>>3])}function JJ(a){a=+a;var b=0,d=0,e=0,f=0.0,g=0.0;h[j>>3]=a;d=c[j+4>>2]|0;b=d&2147483647;do if(b>>>0>2146435071)a=a+a;else{if(b>>>0<1048576){h[j>>3]=a*18014398509481984.0;d=c[j+4>>2]|0;b=d&2147483647;if(!b)break;else e=696219795}else e=715094163;c[j>>2]=0;c[j+4>>2]=((b>>>0)/3|0)+e|d&-2147483648;f=+h[j>>3];g=f*f*(f/a);h[j>>3]=(g*(g*g)*(g*.14599619288661245+-.758397934778766)+(g*(g*1.6214297201053545+-1.8849797954337717)+1.87595182427177))*f;d=HN(c[j>>2]|0,c[j+4>>2]|0,-2147483648,0)|0;e=z;c[j>>2]=d&-1073741824;c[j+4>>2]=e;f=+h[j>>3];a=a/(f*f);a=(a-f)/(f+f+a)*f+f}while(0);return +a}function KJ(a,b){a=+a;b=+b;var d=0,e=0;h[j>>3]=a;e=c[j>>2]|0;d=c[j+4>>2]|0;h[j>>3]=b;d=c[j+4>>2]&-2147483648|d&2147483647;c[j>>2]=e;c[j+4>>2]=d;return +(+h[j>>3])}function LJ(a,b){a=+a;b=+b;return +(+KJ(a,b))}function MJ(a,b){a=+a;b=b|0;return +(+IJ(a,b))}function NJ(a,b){a=+a;b=+b;return +(+OJ(a,b))}function OJ(a,b){a=+a;b=+b;var d=0,e=0,f=0,g=0,i=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0;h[j>>3]=a;i=c[j>>2]|0;l=c[j+4>>2]|0;h[j>>3]=b;n=c[j>>2]|0;o=c[j+4>>2]|0;e=NN(i|0,l|0,52)|0;e=e&2047;m=NN(n|0,o|0,52)|0;m=m&2047;p=l&-2147483648;g=ON(n|0,o|0,1)|0;k=z;a:do if(!((g|0)==0&(k|0)==0)?(f=PJ(b)|0,d=z&2147483647,!((e|0)==2047|(d>>>0>2146435072|(d|0)==2146435072&f>>>0>0))):0){d=ON(i|0,l|0,1)|0;f=z;if(!(f>>>0>k>>>0|(f|0)==(k|0)&d>>>0>g>>>0))return +((d|0)==(g|0)&(f|0)==(k|0)?a*0.0:a);if(!e){d=ON(i|0,l|0,12)|0;f=z;if((f|0)>-1|(f|0)==-1&d>>>0>4294967295){e=0;do{e=e+-1|0;d=ON(d|0,f|0,1)|0;f=z}while((f|0)>-1|(f|0)==-1&d>>>0>4294967295)}else e=0;i=ON(i|0,l|0,1-e|0)|0;g=z}else 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a=-1;l=e;return a|0}function eK(b){b=b|0;var d=0,e=0;d=b+74|0;e=a[d>>0]|0;a[d>>0]=e+255|e;d=b+20|0;e=b+28|0;if((c[d>>2]|0)>>>0>(c[e>>2]|0)>>>0)bb[c[b+36>>2]&31](b,0,0)|0;c[b+16>>2]=0;c[e>>2]=0;c[d>>2]=0;d=c[b>>2]|0;if(!(d&4)){e=(c[b+44>>2]|0)+(c[b+48>>2]|0)|0;c[b+8>>2]=e;c[b+4>>2]=e;d=d<<27>>31}else{c[b>>2]=d|32;d=-1}return d|0}function fK(a){a=a|0;return (a+-48|0)>>>0<10|0}function gK(a){a=a|0;if(!(hK(a)|0))a=(_J(a)|0)!=0&1;else a=1;return a|0}function hK(a){a=a|0;return ((a|32)+-97|0)>>>0<26|0}function iK(b,c){b=b|0;c=c|0;var e=0,f=0,g=0;e=a[b>>0]|0;a:do if(!(e<<24>>24))b=0;else{g=b;b=e;f=e&255;while(1){e=a[c>>0]|0;if(!(e<<24>>24))break a;if(b<<24>>24!=e<<24>>24?(f=jK(f)|0,(f|0)!=(jK(d[c>>0]|0)|0)):0)break;b=g+1|0;c=c+1|0;e=a[b>>0]|0;if(!(e<<24>>24)){b=0;break a}else{g=b;b=e;f=e&255}}b=a[g>>0]|0}while(0);g=jK(b&255)|0;return g-(jK(d[c>>0]|0)|0)|0}function jK(a){a=a|0;var b=0;b=(kK(a)|0)==0;return (b?a:a|32)|0}function kK(a){a=a|0;return (a+-65|0)>>>0<26|0}function lK(a){a=a|0;return mK(a,0)|0}function mK(c,f){c=c|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0;k=(f<<1)+-1|0;l=f+-1|0;a:do if(!((c+-43008|0)>>>0<22272|((c+-11776|0)>>>0<30784|((c+-1536|0)>>>0<2560|(nK(c)|0)==0)))){g=(f|0)!=0;if(g&(c+-4256|0)>>>0<46){if((c|0)>4293)switch(c|0){case 4295:case 4301:break;default:break a}c=c+7264|0;break}if((c+-11520|0)>>>0<38&(g^1)){c=c+-7264|0;break}else g=0;do{i=a[59170+(g<<2)+2>>0]|0;j=i<<24>>24;h=c-(e[59170+(g<<2)>>1]|0)|0;if((h-(l&j)|0)>>>0<(d[59170+(g<<2)+3>>0]|0)>>>0){m=11;break}g=g+1|0}while((g|0)!=61);if((m|0)==11)if(i<<24>>24==1){c=f+c-(h&1)|0;break}else{c=(O(k,j)|0)+c|0;break}i=1-f|0;g=b[58682+(i<<1)>>1]|0;b:do if(g<<16>>16){h=0;while(1){if((g&65535|0)==(c|0))break;h=h+1|0;g=b[58682+(h<<2)+(i<<1)>>1]|0;if(!(g<<16>>16))break b}c=e[58682+(h<<2)+(f<<1)>>1]|0;break a}while(0);return ((c+-66600+(f*40|0)|0)>>>0<40?c+-40+(f*80|0)|0:c)|0}while(0);return c|0}function nK(a){a=a|0;if(a>>>0<131072)a=(d[131159+((d[131159+(a>>>8)>>0]|0)<<5|a>>>3&31)>>0]|0)>>>(a&7)&1;else a=a>>>0<196606&1;return a|0}function oK(a){a=a|0;var b=0;b=a;while(1)if(!(c[b>>2]|0))break;else b=b+4|0;return b-a>>2|0}function pK(b,c,e){b=b|0;c=c|0;e=e|0;var f=0,g=0,h=0;if(!e)b=0;else{f=a[b>>0]|0;a:do if(!(f<<24>>24))b=0;else{h=b;b=f;f=f&255;while(1){e=e+-1|0;g=a[c>>0]|0;if(!((e|0)!=0&g<<24>>24!=0))break a;if(b<<24>>24!=g<<24>>24?(g=jK(f)|0,(g|0)!=(jK(d[c>>0]|0)|0)):0)break;b=h+1|0;c=c+1|0;f=a[b>>0]|0;if(!(f<<24>>24)){b=0;break a}else{h=b;b=f;f=f&255}}b=a[h>>0]|0}while(0);b=jK(b&255)|0;b=b-(jK(d[c>>0]|0)|0)|0}return b|0}function qK(a){a=a|0;if(a>>>0>=255)if((a+-57344|0)>>>0<8185|(a>>>0<8232|(a+-8234|0)>>>0<47062))a=1;else return (a&65534|0)!=65534&(a+-65532|0)>>>0<1048580&1|0;else a=(a+1&127)>>>0>32&1;return a|0}function rK(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0;k=l;l=l+16|0;g=k;i=(f|0)==0?170764:f;f=c[i>>2]|0;a:do if(!d)if(!f)f=0;else j=17;else{h=(b|0)==0?g:b;if(!e)f=-2;else{if(!f){f=a[d>>0]|0;if(f<<24>>24>-1){c[h>>2]=f&255;f=f<<24>>24!=0&1;break}g=(c[c[(vK()|0)+188>>2]>>2]|0)==0;f=a[d>>0]|0;if(g){c[h>>2]=f<<24>>24&57343;f=1;break}f=(f&255)+-194|0;if(f>>>0>50){j=17;break}f=c[55208+(f<<2)>>2]|0;g=e+-1|0;if(g){d=d+1|0;j=11}}else{g=e;j=11}b:do if((j|0)==11){b=a[d>>0]|0;m=(b&255)>>>3;if((m+-16|m+(f>>26))>>>0>7){j=17;break a}while(1){d=d+1|0;f=(b&255)+-128|f<<6;g=g+-1|0;if((f|0)>=0)break;if(!g)break b;b=a[d>>0]|0;if((b&-64)<<24>>24!=-128){j=17;break a}}c[i>>2]=0;c[h>>2]=f;f=e-g|0;break a}while(0);c[i>>2]=f;f=-2}}while(0);if((j|0)==17){c[i>>2]=0;c[(jJ()|0)>>2]=84;f=-1}l=k;return f|0}function sK(a,b){a=a|0;b=b|0;if(!a)a=0;else a=tK(a,b,0)|0;return a|0}function tK(b,d,e){b=b|0;d=d|0;e=e|0;do if(b){if(d>>>0<128){a[b>>0]=d;b=1;break}if(!(c[c[(uK()|0)+188>>2]>>2]|0))if((d&-128|0)==57216){a[b>>0]=d;b=1;break}else{c[(jJ()|0)>>2]=84;b=-1;break}if(d>>>0<2048){a[b>>0]=d>>>6|192;a[b+1>>0]=d&63|128;b=2;break}if(d>>>0<55296|(d&-8192|0)==57344){a[b>>0]=d>>>12|224;a[b+1>>0]=d>>>6&63|128;a[b+2>>0]=d&63|128;b=3;break}if((d+-65536|0)>>>0<1048576){a[b>>0]=d>>>18|240;a[b+1>>0]=d>>>12&63|128;a[b+2>>0]=d>>>6&63|128;a[b+3>>0]=d&63|128;b=4;break}else{c[(jJ()|0)>>2]=84;b=-1;break}}else b=1;while(0);return b|0}function uK(){return AJ()|0}function vK(){return AJ()|0}function wK(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;p=l;l=l+272|0;n=p+8|0;o=p;do if(!(a[d>>0]|0)){d=Na(134135)|0;if(d|0?a[d>>0]|0:0)break;d=Na(134142+(b*12|0)|0)|0;if(d|0?a[d>>0]|0:0)break;d=Na(134214)|0;if(d|0?a[d>>0]|0:0)break;d=134219}while(0);e=0;a:do{switch(a[d+e>>0]|0){case 47:case 0:break a;default:{}}e=e+1|0}while(e>>>0<15);f=a[d>>0]|0;if(f<<24>>24!=46?(a[d+e>>0]|0)==0:0)if(f<<24>>24==67)m=15;else{k=d;m=16}else{d=134219;m=15}if((m|0)==15)if(!(a[d+1>>0]|0))m=18;else{k=d;m=16}b:do if((m|0)==16)if((xJ(k,134219)|0)!=0?(xJ(k,134227)|0)!=0:0){d=c[42692]|0;if(d|0)do{if(!(xJ(k,d+8|0)|0))break b;d=c[d+24>>2]|0}while((d|0)!=0);pa(170772);d=c[42692]|0;c:do if(d|0){while(1){if(!(xJ(k,d+8|0)|0))break;d=c[d+24>>2]|0;if(!d)break c}Fa(170772);break b}while(0);d:do if(((c[42677]|0)==0?(g=Na(134233)|0,(g|0)!=0):0)?(a[g>>0]|0)!=0:0){i=254-e|0;j=e+1|0;f=g;while(1){h=qJ(f,58)|0;d=a[h>>0]|0;g=h-f+((d<<24>>24!=0)<<31>>31)|0;if(g>>>0<i>>>0){TN(n|0,f|0,g|0)|0;f=n+g|0;a[f>>0]=47;TN(f+1|0,k|0,e|0)|0;a[n+(j+g)>>0]=0;f=qa(n|0,o|0)|0;if(f|0)break;d=a[h>>0]|0}f=h+(d<<24>>24!=0&1)|0;if(!(a[f>>0]|0)){m=41;break d}}d=ZI(28)|0;if(!d){nJ(f,c[o>>2]|0)|0;m=41;break}else{c[d>>2]=f;c[d+4>>2]=c[o>>2];o=d+8|0;TN(o|0,k|0,e|0)|0;a[o+e>>0]=0;c[d+24>>2]=c[42692];c[42692]=d;break}}else m=41;while(0);if((m|0)==41){d=ZI(28)|0;if(d){c[d>>2]=c[13790];c[d+4>>2]=c[13791];o=d+8|0;TN(o|0,k|0,e|0)|0;a[o+e>>0]=0;c[d+24>>2]=c[42692];c[42692]=d}}Fa(170772);d=(b|0)==0&(d|0)==0?55160:d}else{d=k;m=18}while(0);do if((m|0)==18){if((b|0)==0?(a[d+1>>0]|0)==46:0){d=55160;break}d=0}while(0);l=p;return d|0}function xK(a,b){a=a|0;b=b|0;yK(a,b)|0;return a|0}function yK(b,d){b=b|0;d=d|0;var e=0,f=0;e=d;a:do if(!((e^b)&3)){if(e&3)do{e=a[d>>0]|0;a[b>>0]=e;if(!(e<<24>>24))break a;d=d+1|0;b=b+1|0}while((d&3|0)!=0);e=c[d>>2]|0;if(!((e&-2139062144^-2139062144)&e+-16843009)){f=b;while(1){d=d+4|0;b=f+4|0;c[f>>2]=e;e=c[d>>2]|0;if((e&-2139062144^-2139062144)&e+-16843009|0)break;else f=b}}f=8}else f=8;while(0);if((f|0)==8){f=a[d>>0]|0;a[b>>0]=f;if(f<<24>>24)do{d=d+1|0;b=b+1|0;f=a[d>>0]|0;a[b>>0]=f}while(f<<24>>24!=0)}return b|0}function zK(a){a=a|0;return ((a|0)==32|(a|0)==9)&1|0}function AK(a){a=a|0;if(!a)a=0;else a=(BK(56324,a)|0)!=0&1;return a|0}function BK(a,b){a=a|0;b=b|0;var d=0;if(!b)a=a+((oK(a)|0)<<2)|0;else{while(1){d=c[a>>2]|0;if((d|0)==0|(d|0)==(b|0))break;else a=a+4|0}a=d|0?a:0}return a|0}function CK(a,b){a=a|0;b=b|0;do switch(b|0){case 1:{a=DK(a)|0;break}case 2:{a=nK(a)|0;break}case 3:{a=EK(a)|0;break}case 4:{a=FK(a)|0;break}case 5:{a=fK(a)|0;break}case 6:{a=GK(a)|0;break}case 7:{a=HK(a)|0;break}case 8:{a=qK(a)|0;break}case 9:{a=UJ(a)|0;break}case 10:{a=AK(a)|0;break}case 11:{a=IK(a)|0;break}case 12:{a=JK(a)|0;break}default:a=0}while(0);return a|0}function DK(a){a=a|0;if(!(fK(a)|0))a=(nK(a)|0)!=0&1;else a=1;return a|0}function EK(a){a=a|0;return zK(a)|0}function FK(a){a=a|0;return ((a+-65529|0)>>>0<3|((a&-2|0)==8232|(a>>>0<32|(a+-127|0)>>>0<33)))&1|0}function GK(a){a=a|0;if(!(AK(a)|0))a=(qK(a)|0)!=0&1;else a=0;return a|0}function HK(a){a=a|0;return (lK(a)|0)!=(a|0)|0}function IK(a){a=a|0;return (KK(a)|0)!=(a|0)|0}function JK(a){a=a|0;return ((a+-48|0)>>>0<10|((a|32)+-97|0)>>>0<6)&1|0}function KK(a){a=a|0;return mK(a,1)|0}function LK(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+128|0;g=n+124|0;m=n;h=m;i=56412;j=h+124|0;do{c[h>>2]=c[i>>2];h=h+4|0;i=i+4|0}while((h|0)<(j|0));if((d+-1|0)>>>0>2147483646)if(!d){b=g;d=1;k=4}else{c[(jJ()|0)>>2]=75;d=-1}else k=4;if((k|0)==4){k=-2-b|0;k=d>>>0>k>>>0?k:d;c[m+48>>2]=k;g=m+20|0;c[g>>2]=b;c[m+44>>2]=b;d=b+k|0;b=m+16|0;c[b>>2]=d;c[m+28>>2]=d;d=MK(m,e,f)|0;if(k){m=c[g>>2]|0;a[m+(((m|0)==(c[b>>2]|0))<<31>>31)>>0]=0}}l=n;return d|0}function MK(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;s=l;l=l+224|0;n=s+120|0;p=s+80|0;q=s;r=s+136|0;f=p;g=f+40|0;do{c[f>>2]=0;f=f+4|0}while((f|0)<(g|0));c[n>>2]=c[e>>2];if((NK(0,d,n,q,p)|0)<0)e=-1;else{if((c[b+76>>2]|0)>-1)o=OK(b)|0;else o=0;e=c[b>>2]|0;m=e&32;if((a[b+74>>0]|0)<1)c[b>>2]=e&-33;f=b+48|0;if(!(c[f>>2]|0)){g=b+44|0;h=c[g>>2]|0;c[g>>2]=r;i=b+28|0;c[i>>2]=r;j=b+20|0;c[j>>2]=r;c[f>>2]=80;k=b+16|0;c[k>>2]=r+80;e=NK(b,d,n,q,p)|0;if(h){bb[c[b+36>>2]&31](b,0,0)|0;e=(c[j>>2]|0)==0?-1:e;c[g>>2]=h;c[f>>2]=0;c[k>>2]=0;c[i>>2]=0;c[j>>2]=0}}else e=NK(b,d,n,q,p)|0;f=c[b>>2]|0;c[b>>2]=f|m;if(o|0)PK(b);e=(f&32|0)==0?e:-1}l=s;return e|0}function NK(d,e,f,g,i){d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0;I=l;l=l+64|0;D=I+16|0;E=I;A=I+24|0;G=I+8|0;H=I+20|0;c[D>>2]=e;w=(d|0)!=0;x=A+40|0;y=x;A=A+39|0;B=G+4|0;j=0;e=0;m=0;a:while(1){do if((e|0)>-1)if((j|0)>(2147483647-e|0)){c[(jJ()|0)>>2]=75;e=-1;break}else{e=j+e|0;break}while(0);r=c[D>>2]|0;j=a[r>>0]|0;if(!(j<<24>>24)){v=88;break}else k=r;b:while(1){switch(j<<24>>24){case 37:{j=k;v=9;break b}case 0:{j=k;break b}default:{}}u=k+1|0;c[D>>2]=u;j=a[u>>0]|0;k=u}c:do if((v|0)==9)while(1){v=0;if((a[k+1>>0]|0)!=37)break c;j=j+1|0;k=k+2|0;c[D>>2]=k;if((a[k>>0]|0)!=37)break;else v=9}while(0);j=j-r|0;if(w)QK(d,r,j);if(j|0)continue;u=(_J(a[(c[D>>2]|0)+1>>0]|0)|0)==0;k=c[D>>2]|0;if(!u?(a[k+2>>0]|0)==36:0){s=(a[k+1>>0]|0)+-48|0;n=1;j=3}else{s=-1;n=m;j=1}j=k+j|0;c[D>>2]=j;k=a[j>>0]|0;u=(k<<24>>24)+-32|0;if(u>>>0>31|(1<<u&75913|0)==0)m=0;else{m=0;do{m=1<<(k<<24>>24)+-32|m;j=j+1|0;c[D>>2]=j;k=a[j>>0]|0;u=(k<<24>>24)+-32|0}while(!(u>>>0>31|(1<<u&75913|0)==0))}if(k<<24>>24==42){if((_J(a[j+1>>0]|0)|0)!=0?(F=c[D>>2]|0,(a[F+2>>0]|0)==36):0){j=F+1|0;c[i+((a[j>>0]|0)+-48<<2)>>2]=10;j=c[g+((a[j>>0]|0)+-48<<3)>>2]|0;k=1;n=F+3|0}else{if(n|0){e=-1;break}if(w){u=(c[f>>2]|0)+(4-1)&~(4-1);j=c[u>>2]|0;c[f>>2]=u+4}else j=0;k=0;n=(c[D>>2]|0)+1|0}c[D>>2]=n;t=(j|0)<0;u=t?0-j|0:j;m=t?m|8192:m;t=k;j=n}else{j=RK(D)|0;if((j|0)<0){e=-1;break}u=j;t=n;j=c[D>>2]|0}do if((a[j>>0]|0)==46){if((a[j+1>>0]|0)!=42){c[D>>2]=j+1;p=RK(D)|0;j=c[D>>2]|0;break}if(_J(a[j+2>>0]|0)|0?(C=c[D>>2]|0,(a[C+3>>0]|0)==36):0){p=C+2|0;c[i+((a[p>>0]|0)+-48<<2)>>2]=10;p=c[g+((a[p>>0]|0)+-48<<3)>>2]|0;j=C+4|0;c[D>>2]=j;break}if(t|0){e=-1;break a}if(w){q=(c[f>>2]|0)+(4-1)&~(4-1);j=c[q>>2]|0;c[f>>2]=q+4}else j=0;q=(c[D>>2]|0)+2|0;c[D>>2]=q;p=j;j=q}else p=-1;while(0);q=0;while(1){if(((a[j>>0]|0)+-65|0)>>>0>57){e=-1;break a}k=j;j=j+1|0;c[D>>2]=j;k=a[(a[k>>0]|0)+-65+(134246+(q*58|0))>>0]|0;n=k&255;if((n+-1|0)>>>0>=8)break;else q=n}if(!(k<<24>>24)){e=-1;break}o=(s|0)>-1;do if(k<<24>>24==19)if(o){e=-1;break a}else v=50;else{if(o){c[i+(s<<2)>>2]=n;o=g+(s<<3)|0;s=c[o+4>>2]|0;v=E;c[v>>2]=c[o>>2];c[v+4>>2]=s;v=50;break}if(!w){e=0;break a}SK(E,n,f);j=c[D>>2]|0}while(0);if((v|0)==50){v=0;if(!w){j=0;m=t;continue}}k=a[j+-1>>0]|0;k=(q|0)!=0&(k&15|0)==3?k&-33:k;j=m&-65537;s=(m&8192|0)==0?m:j;d:do switch(k|0){case 110:switch((q&255)<<24>>24){case 0:{c[c[E>>2]>>2]=e;j=0;m=t;continue a}case 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67:{c[G>>2]=c[E>>2];c[B>>2]=0;c[E>>2]=G;p=-1;m=G;v=76;break}case 83:{j=c[E>>2]|0;if(!p){WK(d,32,u,0,s);j=0;v=85}else{m=j;v=76}break}case 65:case 71:case 70:case 69:case 97:case 103:case 102:case 101:{j=XK(d,+h[E>>3],u,p,s,k)|0;m=t;continue a}default:{q=0;n=134710;o=x;k=p;j=s}}while(0);e:do if((v|0)==62){s=E;r=c[s>>2]|0;s=c[s+4>>2]|0;o=TK(r,s,x,k&32)|0;n=(m&8|0)==0|(r|0)==0&(s|0)==0;q=n?0:2;n=n?134710:134710+(k>>4)|0;p=j;j=r;k=s;v=68}else if((v|0)==67){o=VK(j,k,x)|0;q=m;m=s;v=68}else if((v|0)==72){v=0;s=ZJ(k,0,p)|0;m=(s|0)==0;r=k;q=0;n=134710;o=m?k+p|0:s;k=m?p:s-k|0}else if((v|0)==76){v=0;o=m;j=0;k=0;while(1){n=c[o>>2]|0;if(!n)break;k=sK(H,n)|0;if((k|0)<0|k>>>0>(p-j|0)>>>0)break;j=k+j|0;if(p>>>0>j>>>0)o=o+4|0;else break}if((k|0)<0){e=-1;break a}WK(d,32,u,j,s);if(!j){j=0;v=85}else{n=0;while(1){k=c[m>>2]|0;if(!k){v=85;break e}k=sK(H,k)|0;n=k+n|0;if((n|0)>(j|0)){v=85;break e}QK(d,H,k);if(n>>>0>=j>>>0){v=85;break}else 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if(b>>>0<=20)do switch(b|0){case 9:{e=(c[d>>2]|0)+(4-1)&~(4-1);b=c[e>>2]|0;c[d>>2]=e+4;c[a>>2]=b;break a}case 10:{e=(c[d>>2]|0)+(4-1)&~(4-1);b=c[e>>2]|0;c[d>>2]=e+4;e=a;c[e>>2]=b;c[e+4>>2]=((b|0)<0)<<31>>31;break a}case 11:{e=(c[d>>2]|0)+(4-1)&~(4-1);b=c[e>>2]|0;c[d>>2]=e+4;e=a;c[e>>2]=b;c[e+4>>2]=0;break a}case 12:{e=(c[d>>2]|0)+(8-1)&~(8-1);b=e;f=c[b>>2]|0;b=c[b+4>>2]|0;c[d>>2]=e+8;e=a;c[e>>2]=f;c[e+4>>2]=b;break a}case 13:{f=(c[d>>2]|0)+(4-1)&~(4-1);e=c[f>>2]|0;c[d>>2]=f+4;e=(e&65535)<<16>>16;f=a;c[f>>2]=e;c[f+4>>2]=((e|0)<0)<<31>>31;break a}case 14:{f=(c[d>>2]|0)+(4-1)&~(4-1);e=c[f>>2]|0;c[d>>2]=f+4;f=a;c[f>>2]=e&65535;c[f+4>>2]=0;break a}case 15:{f=(c[d>>2]|0)+(4-1)&~(4-1);e=c[f>>2]|0;c[d>>2]=f+4;e=(e&255)<<24>>24;f=a;c[f>>2]=e;c[f+4>>2]=((e|0)<0)<<31>>31;break a}case 16:{f=(c[d>>2]|0)+(4-1)&~(4-1);e=c[f>>2]|0;c[d>>2]=f+4;f=a;c[f>>2]=e&255;c[f+4>>2]=0;break a}case 17:{f=(c[d>>2]|0)+(8-1)&~(8-1);g=+h[f>>3];c[d>>2]=f+8;h[a>>3]=g;break a}case 18:{f=(c[d>>2]|0)+(8-1)&~(8-1);g=+h[f>>3];c[d>>2]=f+8;h[a>>3]=g;break a}default:break a}while(0);while(0);return}function TK(b,c,e,f){b=b|0;c=c|0;e=e|0;f=f|0;if(!((b|0)==0&(c|0)==0))do{e=e+-1|0;a[e>>0]=d[134758+(b&15)>>0]|0|f;b=NN(b|0,c|0,4)|0;c=z}while(!((b|0)==0&(c|0)==0));return e|0}function UK(b,c,d){b=b|0;c=c|0;d=d|0;if(!((b|0)==0&(c|0)==0))do{d=d+-1|0;a[d>>0]=b&7|48;b=NN(b|0,c|0,3)|0;c=z}while(!((b|0)==0&(c|0)==0));return d|0}function VK(b,c,d){b=b|0;c=c|0;d=d|0;var e=0;if(c>>>0>0|(c|0)==0&b>>>0>4294967295){while(1){e=MN(b|0,c|0,10,0)|0;d=d+-1|0;a[d>>0]=e&255|48;e=b;b=LN(b|0,c|0,10,0)|0;if(!(c>>>0>9|(c|0)==9&e>>>0>4294967295))break;else c=z}c=b}else c=b;if(c)while(1){d=d+-1|0;a[d>>0]=(c>>>0)%10|0|48;if(c>>>0<10)break;else c=(c>>>0)/10|0}return d|0}function WK(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;var f=0,g=0;g=l;l=l+256|0;f=g;if((c|0)>(d|0)&(e&73728|0)==0){e=c-d|0;VN(f|0,b<<24>>24|0,(e>>>0<256?e:256)|0)|0;if(e>>>0>255){b=c-d|0;do{QK(a,f,256);e=e+-256|0}while(e>>>0>255);e=b&255}QK(a,f,e)}l=g;return}function XK(b,e,f,g,h,i){b=b|0;e=+e;f=f|0;g=g|0;h=h|0;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0;H=l;l=l+560|0;m=H+8|0;u=H;G=H+524|0;F=G;n=H+512|0;c[u>>2]=0;E=n+12|0;YK(e)|0;if((z|0)<0){e=-e;C=1;B=134727}else{C=(h&2049|0)!=0&1;B=(h&2048|0)==0?((h&1|0)==0?134728:134733):134730}YK(e)|0;do if(0==0&(z&2146435072|0)==2146435072){G=(i&32|0)!=0;j=C+3|0;WK(b,32,f,j,h&-65537);QK(b,B,C);QK(b,e!=e|0.0!=0.0?(G?134895:134754):G?134746:134750,3);WK(b,32,f,j,h^8192)}else{r=+TJ(e,u)*2.0;j=r!=0.0;if(j)c[u>>2]=(c[u>>2]|0)+-1;w=i|32;if((w|0)==97){p=i&32;s=(p|0)==0?B:B+9|0;q=C|2;j=12-g|0;do if(!(g>>>0>11|(j|0)==0)){e=8.0;do{j=j+-1|0;e=e*16.0}while((j|0)!=0);if((a[s>>0]|0)==45){e=-(e+(-r-e));break}else{e=r+e-e;break}}else 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if((d|0)>=2?(g=b+(d<<2)|0,c[g>>2]=e,a|0):0)while(1){f=a>>>0<256?a:256;TN(e|0,c[b>>2]|0,f|0)|0;e=0;do{i=b+(e<<2)|0;e=e+1|0;TN(c[i>>2]|0,c[b+(e<<2)>>2]|0,f|0)|0;c[i>>2]=(c[i>>2]|0)+f}while((e|0)!=(d|0));a=a-f|0;if(!a)break a;e=c[g>>2]|0}while(0);l=h;return}function zL(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=l;l=l+16|0;f=e;c[f>>2]=d;d=MK(a,b,f)|0;l=e;return d|0}function AL(b){b=b|0;var d=0,e=0,f=0;f=l;l=l+16|0;e=f;oa(0,e|0)|0;d=0;e=(c[e+4>>2]|0)*65537^(e>>>4)+b;while(1){a[b+d>>0]=(e&15)+65|e<<1&32;d=d+1|0;if((d|0)==6)break;else e=e>>>5}l=f;return b|0}function BL(a,b,c){a=a|0;b=b|0;c=c|0;c=$J(a,b,c,-2147483648,0)|0;return c|0}function CL(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;h=l;l=l+32|0;f=h;e=a[d>>0]|0;a:do if(e<<24>>24!=0?(a[d+1>>0]|0)!=0:0){VN(f|0,0,32)|0;e=a[d>>0]|0;if(e<<24>>24)do{i=f+(((e&255)>>>5&255)<<2)|0;c[i>>2]=c[i>>2]|1<<(e&31);d=d+1|0;e=a[d>>0]|0}while(e<<24>>24!=0);d=a[b>>0]|0;if(!(d<<24>>24))e=b;else{e=b;do{if(c[f+(((d&255)>>>5&255)<<2)>>2]&1<<(d&31)|0)break a;e=e+1|0;d=a[e>>0]|0}while(d<<24>>24!=0)}}else g=3;while(0);if((g|0)==3)e=qJ(b,e<<24>>24)|0;l=h;return e-b|0}function DL(b,d){b=b|0;d=d|0;var e=0;if(!b){b=c[42697]|0;if(!b)b=0;else e=3}else e=3;do if((e|0)==3){b=b+(oL(b,d)|0)|0;if(!(a[b>>0]|0)){c[42697]=0;b=0;break}d=b+(CL(b,d)|0)|0;c[42697]=d;if(!(a[d>>0]|0)){c[42697]=0;break}else{c[42697]=d+1;a[d>>0]=0;break}}while(0);return b|0}function EL(b,c,d){b=b|0;c=c|0;d=d|0;var e=0;e=c&255;do{if(!d){c=0;break}d=d+-1|0;c=b+d|0}while((a[c>>0]|0)!=e<<24>>24);return c|0}function FL(b,d,e){b=b|0;d=d|0;e=e|0;var f=0;if(!b){b=c[e>>2]|0;if(!b)b=0;else f=3}else f=3;do if((f|0)==3){b=b+(oL(b,d)|0)|0;if(!(a[b>>0]|0)){c[e>>2]=0;b=0;break}d=b+(CL(b,d)|0)|0;c[e>>2]=d;if(!(a[d>>0]|0)){c[e>>2]=0;break}else{c[e>>2]=d+1;a[d>>0]=0;break}}while(0);return b|0}function GL(a){a=a|0;var b=0,c=0;b=(rJ(a)|0)+1|0;c=ZI(b)|0;if(!c)a=0;else a=TN(c|0,a|0,b|0)|0;return a|0}function HL(a,b){a=a|0;b=b|0;return EL(a,b,(rJ(a)|0)+1|0)|0}function IL(a,b){a=a|0;b=b|0;xK(a+(rJ(a)|0)|0,b)|0;return a|0}function JL(b,c){b=b|0;c=c|0;c=b+(CL(b,c)|0)|0;return (a[c>>0]|0?c:0)|0}function KL(a){a=a|0;var b=0;if((c[a+76>>2]|0)>-1){b=(OK(a)|0)==0;a=(c[a>>2]|0)>>>4&1}else a=(c[a>>2]|0)>>>4&1;return a|0}function LL(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;if((c[a+76>>2]|0)>-1)f=OK(a)|0;else f=0;ML(a);g=(c[a>>2]&1|0)!=0;if(!g){e=NL()|0;d=c[a+52>>2]|0;b=a+56|0;if(d|0)c[d+56>>2]=c[b>>2];b=c[b>>2]|0;if(b|0)c[b+52>>2]=d;if((c[e>>2]|0)==(a|0))c[e>>2]=b;OL()}b=PL(a)|0;b=$a[c[a+12>>2]&31](a)|0|b;d=c[a+92>>2]|0;if(d|0)_I(d);if(g){if(f|0)PK(a)}else _I(a);return b|0}function ML(a){a=a|0;var b=0;if(c[a+68>>2]|0){b=c[a+116>>2]|0;a=a+112|0;if(b|0)c[b+112>>2]=c[a>>2];a=c[a>>2]|0;if(!a)a=(RL()|0)+232|0;else a=a+116|0;c[a>>2]=b}return}function NL(){pa(170792);return 170800}function OL(){Fa(170792);return}function PL(a){a=a|0;var b=0,d=0;do if(a){if((c[a+76>>2]|0)<=-1){b=QL(a)|0;break}d=(OK(a)|0)==0;b=QL(a)|0;if(!d)PK(a)}else{if(!(c[13917]|0))b=0;else b=PL(c[13917]|0)|0;a=c[(NL()|0)>>2]|0;if(a)do{if((c[a+76>>2]|0)>-1)d=OK(a)|0;else d=0;if((c[a+20>>2]|0)>>>0>(c[a+28>>2]|0)>>>0)b=QL(a)|0|b;if(d|0)PK(a);a=c[a+56>>2]|0}while((a|0)!=0);OL()}while(0);return b|0}function QL(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;b=a+20|0;h=a+28|0;if((c[b>>2]|0)>>>0>(c[h>>2]|0)>>>0?(bb[c[a+36>>2]&31](a,0,0)|0,(c[b>>2]|0)==0):0)a=-1;else{d=a+4|0;e=c[d>>2]|0;f=a+8|0;g=c[f>>2]|0;if(e>>>0<g>>>0)bb[c[a+40>>2]&31](a,e-g|0,1)|0;c[a+16>>2]=0;c[h>>2]=0;c[b>>2]=0;c[f>>2]=0;c[d>>2]=0;a=0}return a|0}function RL(){return AJ()|0}function SL(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+64|0;j=k+40|0;h=k+24|0;g=k+16|0;f=k;i=k+56|0;if(WJ(134882,a[d>>0]|0)|0){e=ZI(1156)|0;if(!e)e=0;else{VN(e|0,0,124)|0;if(!(WJ(d,43)|0))c[e>>2]=(a[d>>0]|0)==114?8:4;if(WJ(d,101)|0){c[f>>2]=b;c[f+4>>2]=2;c[f+8>>2]=1;za(221,f|0)|0}if((a[d>>0]|0)==97){c[g>>2]=b;c[g+4>>2]=3;d=za(221,g|0)|0;if(!(d&1024)){c[h>>2]=b;c[h+4>>2]=4;c[h+8>>2]=d|1024;za(221,h|0)|0}f=c[e>>2]|128;c[e>>2]=f}else f=c[e>>2]|0;c[e+60>>2]=b;c[e+44>>2]=e+132;c[e+48>>2]=1024;d=e+75|0;a[d>>0]=-1;if((f&8|0)==0?(c[j>>2]=b,c[j+4>>2]=21523,c[j+8>>2]=i,(Ca(54,j|0)|0)==0):0)a[d>>0]=10;c[e+32>>2]=6;c[e+36>>2]=9;c[e+40>>2]=7;c[e+12>>2]=15;if(!(c[42676]|0))c[e+76>>2]=-1;TL(e)|0}}else{c[(jJ()|0)>>2]=22;e=0}l=k;return e|0}function TL(a){a=a|0;var b=0,d=0;b=NL()|0;c[a+56>>2]=c[b>>2];d=c[b>>2]|0;if(d|0)c[d+52>>2]=a;c[b>>2]=a;OL();return a|0}function UL(b,e,f){b=b|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0;j=l;l=l+16|0;g=j;a:do if(!e)b=0;else{do if(f|0){i=(b|0)==0?g:b;b=a[e>>0]|0;if(b<<24>>24>-1){c[i>>2]=b&255;b=b<<24>>24!=0&1;break a}h=(c[c[(VL()|0)+188>>2]>>2]|0)==0;b=a[e>>0]|0;if(h){c[i>>2]=b<<24>>24&57343;b=1;break a}b=(b&255)+-194|0;if(b>>>0<=50){g=e+1|0;h=c[55208+(b<<2)>>2]|0;if(f>>>0<4?h&-2147483648>>>((f*6|0)+-6|0)|0:0)break;b=d[g>>0]|0;f=b>>>3;if((f+-16|f+(h>>26))>>>0<=7){b=b+-128|h<<6;if((b|0)>=0){c[i>>2]=b;b=2;break a}g=(d[e+2>>0]|0)+-128|0;if(g>>>0<=63){g=g|b<<6;if((g|0)>=0){c[i>>2]=g;b=3;break a}b=(d[e+3>>0]|0)+-128|0;if(b>>>0<=63){c[i>>2]=b|g<<6;b=4;break a}}}}}while(0);c[(jJ()|0)>>2]=84;b=-1}while(0);l=j;return b|0}function VL(){return AJ()|0}function WL(a,b){a=a|0;b=b|0;var c=0;c=rJ(a)|0;return ((XL(a,1,c,b)|0)!=(c|0))<<31>>31|0}function XL(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;f=O(d,b)|0;d=(b|0)==0?0:d;if((c[e+76>>2]|0)>-1){g=(OK(e)|0)==0;a=ZK(a,f,e)|0;if(!g)PK(e)}else a=ZK(a,f,e)|0;if((a|0)!=(f|0))d=(a>>>0)/(b>>>0)|0;return d|0}function YL(b,e){b=b|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+16|0;j=m;k=e&255;a[j>>0]=k;g=b+16|0;h=c[g>>2]|0;if(!h)if(!(_K(b)|0)){h=c[g>>2]|0;i=4}else f=-1;else i=4;do if((i|0)==4){i=b+20|0;g=c[i>>2]|0;if(g>>>0<h>>>0?(f=e&255,(f|0)!=(a[b+75>>0]|0)):0){c[i>>2]=g+1;a[g>>0]=k;break}if((bb[c[b+36>>2]&31](b,j,1)|0)==1)f=d[j>>0]|0;else f=-1}while(0);l=m;return f|0}function ZL(b,c){b=b|0;c=c|0;var d=0,e=0,f=0;d=b;e=134867;f=d+15|0;do{a[d>>0]=a[e>>0]|0;d=d+1|0;e=e+1|0}while((d|0)<(f|0));if(!c){a[b+14>>0]=48;a[b+15>>0]=0}else{e=c;d=14;while(1){d=d+1|0;if(e>>>0<10)break;else e=(e>>>0)/10|0}a[b+d>>0]=0;while(1){d=d+-1|0;a[b+d>>0]=(c>>>0)%10|0|48;if(c>>>0<10)break;else c=(c>>>0)/10|0}}return}function _L(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;g=l;l=l+48|0;f=g+40|0;e=g+8|0;d=g;c[d>>2]=a;c[d+4>>2]=b;d=ya(197,d|0)|0;if((d|0)==-9?(c[e>>2]=a,c[e+4>>2]=1,(za(221,e|0)|0)>=0):0){ZL(e,a);c[f>>2]=e;c[f+4>>2]=b;b=iJ(xa(195,f|0)|0)|0}else b=iJ(d)|0;l=g;return b|0}function $L(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=a;c[e+4>>2]=b;b=iJ(Aa(33,e|0)|0)|0;l=d;return b|0}function aM(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;i=l;l=l+48|0;h=i+32|0;g=i+16|0;e=i;if(WJ(134882,a[d>>0]|0)|0){f=bM(d)|0;c[e>>2]=b;c[e+4>>2]=f|32768;c[e+8>>2]=438;e=iJ(Ba(5,e|0)|0)|0;if((e|0)>=0){if(f&524288|0){c[g>>2]=e;c[g+4>>2]=2;c[g+8>>2]=1;za(221,g|0)|0}b=SL(e,d)|0;if(!b){c[h>>2]=e;Da(6,h|0)|0;b=0}}else b=0}else{c[(jJ()|0)>>2]=22;b=0}l=i;return b|0}function bM(b){b=b|0;var c=0,d=0,e=0;d=(WJ(b,43)|0)==0;c=a[b>>0]|0;d=d?c<<24>>24!=114&1:2;e=(WJ(b,120)|0)==0;d=e?d:d|128;b=(WJ(b,101)|0)==0;b=b?d:d|524288;b=c<<24>>24==114?b:b|64;b=c<<24>>24==119?b|512:b;return (c<<24>>24==97?b|1024:b)|0}function cM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=l;l=l+16|0;f=e;c[f>>2]=d;d=dM(a,b,f)|0;l=e;return d|0}function dM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;g=l;l=l+128|0;e=g;f=e;h=f+124|0;do{c[f>>2]=0;f=f+4|0}while((f|0)<(h|0));c[e+32>>2]=18;c[e+44>>2]=a;c[e+76>>2]=-1;c[e+84>>2]=a;h=fM(e,b,d)|0;l=g;return h|0}function eM(a,b,c){a=a|0;b=b|0;c=c|0;return nM(a,b,c)|0}function fM(b,e,f){b=b|0;e=e|0;f=f|0;var i=0,j=0,k=0,m=0,n=0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0;L=l;l=l+288|0;F=L+8|0;G=L+17|0;H=L;I=L+16|0;if((c[b+76>>2]|0)>-1)K=OK(b)|0;else K=0;i=a[e>>0]|0;a:do if(i<<24>>24){y=b+4|0;A=b+100|0;B=b+108|0;C=b+8|0;D=G+10|0;E=G+33|0;x=F+4|0;p=e;u=0;e=0;j=0;k=i;i=0;b:while(1){c:do if(!(XJ(k&255)|0)){k=(a[p>>0]|0)==37;d:do if(k){m=p+1|0;n=a[m>>0]|0;e:do switch(n<<24>>24){case 37:break d;case 42:{w=0;m=p+2|0;break}default:{if(_J(n&255)|0?(a[p+2>>0]|0)==36:0){w=gM(f,(d[m>>0]|0)+-48|0)|0;m=p+3|0;break e}v=(c[f>>2]|0)+(4-1)&~(4-1);w=c[v>>2]|0;c[f>>2]=v+4}}while(0);if(!(_J(d[m>>0]|0)|0))s=0;else{k=0;do{k=(k*10|0)+-48+(d[m>>0]|0)|0;m=m+1|0}while((_J(d[m>>0]|0)|0)!=0);s=k}p=a[m>>0]|0;n=m+1|0;if(p<<24>>24==109){k=(w|0)!=0&1;j=0;m=n;p=a[n>>0]|0;i=0}else k=0;n=m+1|0;switch(p<<24>>24){case 104:{v=(a[n>>0]|0)==104;p=v?-2:-1;m=v?m+2|0:n;break}case 108:{v=(a[n>>0]|0)==108;p=v?3:1;m=v?m+2|0:n;break}case 106:{p=3;m=n;break}case 116:case 122:{p=1;m=n;break}case 76:{p=2;m=n;break}case 110:case 112:case 67:case 83:case 91:case 99:case 115:case 88:case 71:case 70:case 69:case 65:case 103:case 102:case 101:case 97:case 120:case 117:case 111:case 105:case 100:{p=0;break}default:{J=136;break b}}r=d[m>>0]|0;t=(r&47|0)==3;r=t?r|32:r;t=t?1:p;q=r&255;switch(q<<24>>24){case 99:{s=(s|0)>1?s:1;break}case 91:break;case 110:{hM(w,t,u,((u|0)<0)<<31>>31);n=u;break c}default:{aK(b,0);do{n=c[y>>2]|0;if(n>>>0<(c[A>>2]|0)>>>0){c[y>>2]=n+1;n=d[n>>0]|0}else n=cK(b)|0}while((XJ(n)|0)!=0);if(!(c[A>>2]|0))n=c[y>>2]|0;else{n=(c[y>>2]|0)+-1|0;c[y>>2]=n}u=(c[B>>2]|0)+u+n-(c[C>>2]|0)|0}}aK(b,s);p=c[y>>2]|0;n=c[A>>2]|0;if(p>>>0<n>>>0)c[y>>2]=p+1;else{if((cK(b)|0)<0){J=136;break b}n=c[A>>2]|0}if(n|0)c[y>>2]=(c[y>>2]|0)+-1;f:do switch(q<<24>>24){case 91:case 99:case 115:{v=(r|0)==99;g:do if((r|16|0)==115){VN(G|0,-1,257)|0;a[G>>0]=0;if((r|0)==115){a[E>>0]=0;a[D>>0]=0;a[D+1>>0]=0;a[D+2>>0]=0;a[D+3>>0]=0;a[D+4>>0]=0}}else{n=m+1|0;q=(a[n>>0]|0)==94;r=q&1;m=q?m+2|0:n;VN(G|0,r|0,257)|0;a[G>>0]=0;n=a[m>>0]|0;switch(n<<24>>24){case 45:{n=46;J=65;break}case 93:{n=94;J=65;break}default:{}}while(1){if((J|0)==65){J=0;a[G+n>>0]=r^1;n=m+1|0;m=n;n=a[n>>0]|0}h:do switch(n<<24>>24){case 0:{J=136;break b}case 93:break g;case 45:{q=m+1|0;n=a[q>>0]|0;switch(n<<24>>24){case 93:case 0:{n=45;break h}default:{}}m=a[m+-1>>0]|0;if((m&255)<(n&255)){p=(r^1)&255;m=m&255;do{m=m+1|0;a[G+m>>0]=p;n=a[q>>0]|0}while((m|0)<(n&255|0));m=q}else m=q;break}default:{}}while(0);n=(n&255)+1|0;J=65}}while(0);n=v?s+1|0:31;r=(t|0)==1;t=(k|0)!=0;i:do if(r){if(t){i=ZI(n<<2)|0;if(!i){j=0;i=0;J=136;break b}}else i=w;c[F>>2]=0;c[x>>2]=0;q=n;j=0;j:while(1){p=(i|0)==0;do{k:while(1){n=c[y>>2]|0;if(n>>>0<(c[A>>2]|0)>>>0){c[y>>2]=n+1;n=d[n>>0]|0}else n=cK(b)|0;if(!(a[G+(n+1)>>0]|0))break j;a[I>>0]=n;switch(rK(H,I,1,F)|0){case -1:{j=0;J=136;break b}case -2:break;default:break k}}if(!p){c[i+(j<<2)>>2]=c[H>>2];j=j+1|0}}while(!(t&(j|0)==(q|0)));j=q<<1|1;n=aJ(i,j<<2)|0;if(!n){j=0;J=136;break b}else{p=q;q=j;i=n;j=p}}if(!(iM(F)|0)){j=0;J=136;break b}else{q=j;j=0;p=i}}else{if(t){j=ZI(n)|0;if(!j){j=0;i=0;J=136;break b}else{p=n;i=0}while(1){do{n=c[y>>2]|0;if(n>>>0<(c[A>>2]|0)>>>0){c[y>>2]=n+1;n=d[n>>0]|0}else n=cK(b)|0;if(!(a[G+(n+1)>>0]|0)){q=i;p=0;i=0;break i}a[j+i>>0]=n;i=i+1|0}while((i|0)!=(p|0));i=p<<1|1;n=aJ(j,i)|0;if(!n){i=0;J=136;break b}else{q=p;p=i;j=n;i=q}}}if(!w)while(1){i=c[y>>2]|0;if(i>>>0<(c[A>>2]|0)>>>0){c[y>>2]=i+1;i=d[i>>0]|0}else i=cK(b)|0;if(!(a[G+(i+1)>>0]|0)){q=0;j=0;p=0;i=0;break i}}else j=0;while(1){i=c[y>>2]|0;if(i>>>0<(c[A>>2]|0)>>>0){c[y>>2]=i+1;i=d[i>>0]|0}else i=cK(b)|0;if(!(a[G+(i+1)>>0]|0)){q=j;j=w;p=0;i=0;break i}a[w+j>>0]=i;j=j+1|0}}while(0);if(!(c[A>>2]|0))n=c[y>>2]|0;else{n=(c[y>>2]|0)+-1|0;c[y>>2]=n}n=n-(c[C>>2]|0)+(c[B>>2]|0)|0;if(!n)break b;if(!((n|0)==(s|0)|v^1))break b;do if(t)if(r){c[w>>2]=p;break}else{c[w>>2]=j;break}while(0);if(!v){if(p|0)c[p+(q<<2)>>2]=0;if(!j){j=0;break f}a[j+q>>0]=0}break}case 120:case 88:case 112:{n=16;J=124;break}case 111:{n=8;J=124;break}case 117:case 100:{n=10;J=124;break}case 105:{n=0;J=124;break}case 71:case 103:case 70:case 102:case 69:case 101:case 65:case 97:{o=+jM(b,t,0);if((c[B>>2]|0)==((c[C>>2]|0)-(c[y>>2]|0)|0))break b;if(w)switch(t|0){case 0:{g[w>>2]=o;break f}case 1:{h[w>>3]=o;break f}case 2:{h[w>>3]=o;break f}default:break f}break}default:{}}while(0);do if((J|0)==124){J=0;n=bK(b,n,0,-1,-1)|0;if((c[B>>2]|0)==((c[C>>2]|0)-(c[y>>2]|0)|0))break b;if((w|0)!=0&(r|0)==112){c[w>>2]=n;break}else{hM(w,t,n,z);break}}while(0);e=e+((w|0)!=0&1)|0;n=(c[B>>2]|0)+u+(c[y>>2]|0)-(c[C>>2]|0)|0;break c}while(0);m=p+(k&1)|0;aK(b,0);k=c[y>>2]|0;if(k>>>0<(c[A>>2]|0)>>>0){c[y>>2]=k+1;k=d[k>>0]|0}else k=cK(b)|0;if((k|0)!=(d[m>>0]|0)){J=22;break b}n=u+1|0}else{m=p;while(1){k=m+1|0;if(!(XJ(d[k>>0]|0)|0))break;else m=k}aK(b,0);do{k=c[y>>2]|0;if(k>>>0<(c[A>>2]|0)>>>0){c[y>>2]=k+1;k=d[k>>0]|0}else k=cK(b)|0}while((XJ(k)|0)!=0);if(!(c[A>>2]|0))k=c[y>>2]|0;else{k=(c[y>>2]|0)+-1|0;c[y>>2]=k}n=(c[B>>2]|0)+u+k-(c[C>>2]|0)|0}while(0);p=m+1|0;k=a[p>>0]|0;if(!(k<<24>>24))break a;else u=n}if((J|0)==22){if(c[A>>2]|0)c[y>>2]=(c[y>>2]|0)+-1;if((e|0)!=0|(k|0)>-1)break;else{e=0;J=137}}else if((J|0)==136)if(!e){e=k;J=137}if((J|0)==137){k=e;e=-1}if(k){_I(j);_I(i)}}else e=0;while(0);if(K|0)PK(b);l=L;return e|0}function gM(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;e=l;l=l+16|0;d=e;c[d>>2]=c[a>>2];while(1){f=(c[d>>2]|0)+(4-1)&~(4-1);a=c[f>>2]|0;c[d>>2]=f+4;if(b>>>0>1)b=b+-1|0;else break}l=e;return a|0}function hM(d,e,f,g){d=d|0;e=e|0;f=f|0;g=g|0;a:do if(d|0)switch(e|0){case -2:{a[d>>0]=f;break a}case -1:{b[d>>1]=f;break a}case 0:{c[d>>2]=f;break a}case 1:{c[d>>2]=f;break a}case 3:{e=d;c[e>>2]=f;c[e+4>>2]=g;break a}default:break a}while(0);return}function iM(a){a=a|0;if(!a)a=1;else a=(c[a>>2]|0)==0&1;return a|0}function jM(b,e,f){b=b|0;e=e|0;f=f|0;var g=0.0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;switch(e|0){case 0:{l=-149;m=24;j=4;break}case 1:{l=-1074;m=53;j=4;break}case 2:{l=-1074;m=53;j=4;break}default:g=0.0}a:do if((j|0)==4){o=b+4|0;n=b+100|0;do{e=c[o>>2]|0;if(e>>>0<(c[n>>2]|0)>>>0){c[o>>2]=e+1;e=d[e>>0]|0}else e=cK(b)|0}while((XJ(e)|0)!=0);b:do switch(e|0){case 43:case 45:{i=1-(((e|0)==45&1)<<1)|0;e=c[o>>2]|0;if(e>>>0<(c[n>>2]|0)>>>0){c[o>>2]=e+1;h=d[e>>0]|0;break b}else{h=cK(b)|0;break b}}default:{h=e;i=1}}while(0);e=0;do{if((h|32|0)!=(a[134886+e>>0]|0))break;do if(e>>>0<7){h=c[o>>2]|0;if(h>>>0<(c[n>>2]|0)>>>0){c[o>>2]=h+1;h=d[h>>0]|0;break}else{h=cK(b)|0;break}}while(0);e=e+1|0}while(e>>>0<8);c:do switch(e|0){case 8:break;case 3:{j=23;break}default:{k=(f|0)!=0;if(k&e>>>0>3)if((e|0)==8)break c;else{j=23;break c}d:do if(!e){e=0;do{if((h|32|0)!=(a[134895+e>>0]|0))break d;do if(e>>>0<2){h=c[o>>2]|0;if(h>>>0<(c[n>>2]|0)>>>0){c[o>>2]=h+1;h=d[h>>0]|0;break}else{h=cK(b)|0;break}}while(0);e=e+1|0}while(e>>>0<3)}while(0);switch(e|0){case 3:{e=c[o>>2]|0;if(e>>>0<(c[n>>2]|0)>>>0){c[o>>2]=e+1;e=d[e>>0]|0}else e=cK(b)|0;if((e|0)==40)e=1;else{if(!(c[n>>2]|0)){g=s;break a}c[o>>2]=(c[o>>2]|0)+-1;g=s;break a}while(1){h=c[o>>2]|0;if(h>>>0<(c[n>>2]|0)>>>0){c[o>>2]=h+1;h=d[h>>0]|0}else h=cK(b)|0;if(!((h+-48|0)>>>0<10|(h+-65|0)>>>0<26)?!((h|0)==95|(h+-97|0)>>>0<26):0)break;e=e+1|0}if((h|0)==41){g=s;break a}h=(c[n>>2]|0)==0;if(!h)c[o>>2]=(c[o>>2]|0)+-1;if(!k){c[(jJ()|0)>>2]=22;aK(b,0);g=0.0;break a}if(!e){g=s;break a}while(1){e=e+-1|0;if(!h)c[o>>2]=(c[o>>2]|0)+-1;if(!e){g=s;break a}}}case 0:{if((h|0)==48){e=c[o>>2]|0;if(e>>>0<(c[n>>2]|0)>>>0){c[o>>2]=e+1;e=d[e>>0]|0}else e=cK(b)|0;if((e|32|0)==120){g=+kM(b,m,l,i,f);break a}if(!(c[n>>2]|0))e=48;else{c[o>>2]=(c[o>>2]|0)+-1;e=48}}else e=h;g=+lM(b,e,m,l,i,f);break a}default:{if(c[n>>2]|0)c[o>>2]=(c[o>>2]|0)+-1;c[(jJ()|0)>>2]=22;aK(b,0);g=0.0;break a}}}}while(0);if((j|0)==23){h=(c[n>>2]|0)==0;if(!h)c[o>>2]=(c[o>>2]|0)+-1;if((f|0)!=0&e>>>0>3)do{if(!h)c[o>>2]=(c[o>>2]|0)+-1;e=e+-1|0}while(e>>>0>3)}g=+(i|0)*t}while(0);return +g}function kM(a,b,e,f,g){a=a|0;b=b|0;e=e|0;f=f|0;g=g|0;var h=0.0,i=0,j=0,k=0.0,l=0,m=0,n=0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0;y=a+4|0;i=c[y>>2]|0;x=a+100|0;if(i>>>0<(c[x>>2]|0)>>>0){c[y>>2]=i+1;j=d[i>>0]|0;l=0}else{j=cK(a)|0;l=0}a:while(1){switch(j|0){case 46:{w=8;break a}case 48:break;default:{s=0;n=0;o=1.0;h=0.0;i=0;m=j;t=l;v=0;u=0;l=0;j=0;break a}}i=c[y>>2]|0;if(i>>>0<(c[x>>2]|0)>>>0){c[y>>2]=i+1;j=d[i>>0]|0;l=1;continue}else{j=cK(a)|0;l=1;continue}}if((w|0)==8){i=c[y>>2]|0;if(i>>>0<(c[x>>2]|0)>>>0){c[y>>2]=i+1;j=d[i>>0]|0}else j=cK(a)|0;if((j|0)==48){l=0;j=0;do{i=c[y>>2]|0;if(i>>>0<(c[x>>2]|0)>>>0){c[y>>2]=i+1;m=d[i>>0]|0}else m=cK(a)|0;l=HN(l|0,j|0,-1,-1)|0;j=z}while((m|0)==48);s=1;n=0;o=1.0;h=0.0;i=0;t=1;v=0;u=0}else{s=1;n=0;o=1.0;h=0.0;i=0;m=j;t=l;v=0;u=0;l=0;j=0}}while(1){q=m+-48|0;p=m|32;if(q>>>0>=10){r=(m|0)==46;if(!(r|(p+-97|0)>>>0<6))break;if(r)if(!s){s=1;k=o;r=t;l=u;j=v;q=u;p=v}else{m=46;break}else w=20}else w=20;if((w|0)==20){w=0;m=(m|0)>57?p+-87|0:q;do if(!((v|0)<0|(v|0)==0&u>>>0<8))if((v|0)<0|(v|0)==0&u>>>0<14){o=o*.0625;k=o;h=h+o*+(m|0);break}else{t=(n|0)!=0|(m|0)==0;n=t?n:1;k=o;h=t?h:h+o*.5;break}else{k=o;i=m+(i<<4)|0}while(0);q=HN(u|0,v|0,1,0)|0;r=1;p=z}m=c[y>>2]|0;if(m>>>0<(c[x>>2]|0)>>>0){c[y>>2]=m+1;o=k;m=d[m>>0]|0;t=r;v=p;u=q;continue}else{o=k;m=cK(a)|0;t=r;v=p;u=q;continue}}do if(!t){i=(c[x>>2]|0)==0;if(!i)c[y>>2]=(c[y>>2]|0)+-1;if(g){if(!i)c[y>>2]=(c[y>>2]|0)+-1;if(!((s|0)==0|i))c[y>>2]=(c[y>>2]|0)+-1}else aK(a,0);h=+(f|0)*0.0}else{p=(s|0)==0;q=p?u:l;p=p?v:j;if((v|0)<0|(v|0)==0&u>>>0<8){l=u;j=v;while(1){i=i<<4;w=l;l=HN(l|0,j|0,1,0)|0;if(!((j|0)<0|(j|0)==0&w>>>0<7)){n=i;break}else j=z}}else n=i;if((m|32|0)==112){j=mM(a,g)|0;i=z;if((j|0)==0&(i|0)==-2147483648){if(!g){aK(a,0);h=0.0;break}if(!(c[x>>2]|0)){j=0;i=0}else{c[y>>2]=(c[y>>2]|0)+-1;j=0;i=0}}}else if(!(c[x>>2]|0)){j=0;i=0}else{c[y>>2]=(c[y>>2]|0)+-1;j=0;i=0}l=ON(q|0,p|0,2)|0;l=HN(l|0,z|0,-32,-1)|0;l=HN(l|0,z|0,j|0,i|0)|0;i=z;if(!n){h=+(f|0)*0.0;break}y=0-e|0;g=((y|0)<0)<<31>>31;if((i|0)>(g|0)|(i|0)==(g|0)&l>>>0>y>>>0){c[(jJ()|0)>>2]=34;h=+(f|0)*1797693134862315708145274.0e284*1797693134862315708145274.0e284;break}y=e+-106|0;g=((y|0)<0)<<31>>31;if((i|0)<(g|0)|(i|0)==(g|0)&l>>>0<y>>>0){c[(jJ()|0)>>2]=34;h=+(f|0)*2.2250738585072014e-308*2.2250738585072014e-308;break}if((n|0)>-1){j=n;do{y=!(h>=.5);j=j<<1|(y^1)&1;h=h+(y?h:h+-1.0);l=HN(l|0,i|0,-1,-1)|0;i=z}while((j|0)>-1);o=h;m=j}else{o=h;m=n}y=((b|0)<0)<<31>>31;e=IN(32,0,e|0,((e|0)<0)<<31>>31|0)|0;i=HN(e|0,z|0,l|0,i|0)|0;e=z;if((e|0)<(y|0)|(e|0)==(y|0)&i>>>0<b>>>0)if((i|0)>0)w=59;else{j=0;i=84;w=61}else{i=b;w=59}if((w|0)==59)if((i|0)<53){j=i;i=84-i|0;w=61}else{k=0.0;h=+(f|0)}if((w|0)==61){h=+(f|0);k=+LJ(+IJ(1.0,i),h);i=j}f=(m&1|0)==0&(o!=0.0&(i|0)<32);h=(f?0.0:o)*h+(k+h*+((m+(f&1)|0)>>>0))-k;if(!(h!=0.0))c[(jJ()|0)>>2]=34;h=+MJ(h,l)}while(0);return +h}function lM(a,b,e,f,g,h){a=a|0;b=b|0;e=e|0;f=f|0;g=g|0;h=h|0;var i=0.0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0,s=0.0,t=0.0,u=0,v=0,w=0,x=0,y=0,A=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0.0;J=l;l=l+512|0;G=J;H=f+e|0;I=0-H|0;D=a+4|0;E=a+100|0;k=0;a:while(1){switch(b|0){case 46:{A=6;break a}case 48:break;default:{v=0;p=k;q=0;o=0;break a}}b=c[D>>2]|0;if(b>>>0<(c[E>>2]|0)>>>0){c[D>>2]=b+1;b=d[b>>0]|0;k=1;continue}else{b=cK(a)|0;k=1;continue}}if((A|0)==6){b=c[D>>2]|0;if(b>>>0<(c[E>>2]|0)>>>0){c[D>>2]=b+1;b=d[b>>0]|0}else b=cK(a)|0;if((b|0)==48){k=0;b=0;while(1){k=HN(k|0,b|0,-1,-1)|0;o=z;b=c[D>>2]|0;if(b>>>0<(c[E>>2]|0)>>>0){c[D>>2]=b+1;b=d[b>>0]|0}else b=cK(a)|0;if((b|0)==48)b=o;else{v=1;p=1;q=k;break}}}else{v=1;p=k;q=0;o=0}}c[G>>2]=0;n=b+-48|0;m=(b|0)==46;b:do if(m|n>>>0<10){C=G+496|0;w=0;k=0;u=0;x=v;y=p;A=n;p=0;n=0;c:while(1){do if(m)if(!x){x=1;q=p;o=n}else break c;else{p=HN(p|0,n|0,1,0)|0;n=z;v=(b|0)!=48;if((k|0)>=125){if(!v)break;c[C>>2]=c[C>>2]|1;break}m=G+(k<<2)|0;if(!w)b=A;else b=b+-48+((c[m>>2]|0)*10|0)|0;c[m>>2]=b;w=w+1|0;y=(w|0)==9;w=y?0:w;k=k+(y&1)|0;u=v?p:u;y=1}while(0);b=c[D>>2]|0;if(b>>>0<(c[E>>2]|0)>>>0){c[D>>2]=b+1;b=d[b>>0]|0}else b=cK(a)|0;A=b+-48|0;m=(b|0)==46;if(!(m|A>>>0<10)){v=x;m=y;A=29;break b}}b=w;m=(y|0)!=0;A=37}else{w=0;k=0;u=0;m=p;p=0;n=0;A=29}while(0);do if((A|0)==29){C=(v|0)==0;q=C?p:q;o=C?n:o;m=(m|0)!=0;if(!(m&(b|32|0)==101))if((b|0)>-1){b=w;A=37;break}else{b=w;A=39;break}m=mM(a,h)|0;b=z;if((m|0)==0&(b|0)==-2147483648){if(!h){aK(a,0);i=0.0;break}if(!(c[E>>2]|0)){m=0;b=0}else{c[D>>2]=(c[D>>2]|0)+-1;m=0;b=0}}y=HN(m|0,b|0,q|0,o|0)|0;b=w;o=z;A=41}while(0);if((A|0)==37)if(c[E>>2]|0){c[D>>2]=(c[D>>2]|0)+-1;if(m){y=q;A=41}else A=40}else A=39;if((A|0)==39)if(m){y=q;A=41}else A=40;do if((A|0)==40){c[(jJ()|0)>>2]=22;aK(a,0);i=0.0}else if((A|0)==41){m=c[G>>2]|0;if(!m){i=+(g|0)*0.0;break}if(((n|0)<0|(n|0)==0&p>>>0<10)&((y|0)==(p|0)&(o|0)==(n|0))?(e|0)>30|(m>>>e|0)==0:0){i=+(g|0)*+(m>>>0);break}a=(f|0)/-2|0;E=((a|0)<0)<<31>>31;if((o|0)>(E|0)|(o|0)==(E|0)&y>>>0>a>>>0){c[(jJ()|0)>>2]=34;i=+(g|0)*1797693134862315708145274.0e284*1797693134862315708145274.0e284;break}a=f+-106|0;E=((a|0)<0)<<31>>31;if((o|0)<(E|0)|(o|0)==(E|0)&y>>>0<a>>>0){c[(jJ()|0)>>2]=34;i=+(g|0)*2.2250738585072014e-308*2.2250738585072014e-308;break}if(b){if((b|0)<9){n=G+(k<<2)|0;m=c[n>>2]|0;while(1){m=m*10|0;if((b|0)>=8)break;else b=b+1|0}c[n>>2]=m}k=k+1|0}if((u|0)<9?(u|0)<=(y|0)&(y|0)<18:0){if((y|0)==9){i=+(g|0)*+((c[G>>2]|0)>>>0);break}if((y|0)<9){i=+(g|0)*+((c[G>>2]|0)>>>0)/+(c[56536+(8-y<<2)>>2]|0);break}a=e+27+(O(y,-3)|0)|0;b=c[G>>2]|0;if((a|0)>30|(b>>>a|0)==0){i=+(g|0)*+(b>>>0)*+(c[56536+(y+-10<<2)>>2]|0);break}}b=(y|0)%9|0;if(!b){b=0;n=0}else{u=(y|0)>-1?b:b+9|0;p=c[56536+(8-u<<2)>>2]|0;if(k){q=1e9/(p|0)|0;n=0;o=0;m=y;b=0;do{D=G+(b<<2)|0;E=c[D>>2]|0;a=((E>>>0)/(p>>>0)|0)+n|0;c[D>>2]=a;n=O(q,(E>>>0)%(p>>>0)|0)|0;a=(b|0)==(o|0)&(a|0)==0;m=a?m+-9|0:m;o=a?o+1&127:o;b=b+1|0}while((b|0)!=(k|0));if(!n)n=o;else{c[G+(k<<2)>>2]=n;n=o;k=k+1|0}}else{n=0;k=0;m=y}b=0;y=9-u+m|0}d:while(1){u=(y|0)<18;v=(y|0)==18;w=G+(n<<2)|0;while(1){if(!u){if(!v){m=y;break d}if((c[w>>2]|0)>>>0>=9007199){m=18;break d}}m=0;x=k;k=k+127|0;while(1){o=k&127;p=G+(o<<2)|0;k=ON(c[p>>2]|0,0,29)|0;k=HN(k|0,z|0,m|0,0)|0;m=z;if(m>>>0>0|(m|0)==0&k>>>0>1e9){q=LN(k|0,m|0,1e9,0)|0;k=MN(k|0,m|0,1e9,0)|0}else q=0;c[p>>2]=k;a=(o|0)==(n|0);x=(k|0)==0&(((o|0)!=(x+127&127|0)|a)^1)?o:x;if(a)break;else{m=q;k=o+-1|0}}b=b+-29|0;if(q|0)break;else k=x}n=n+127&127;k=x+127&127;m=G+((x+126&127)<<2)|0;if((n|0)==(x|0))c[m>>2]=c[m>>2]|c[G+(k<<2)>>2];else k=x;c[G+(n<<2)>>2]=q;y=y+9|0}e:while(1){w=k+1&127;x=G+((k+127&127)<<2)|0;while(1){q=(m|0)==18;v=(m|0)>27?9:1;y=n;while(1){p=0;while(1){n=p+y&127;if((n|0)==(k|0)){F=2;A=88;break}n=c[G+(n<<2)>>2]|0;o=c[56568+(p<<2)>>2]|0;if(n>>>0<o>>>0){F=2;A=88;break}if(n>>>0>o>>>0)break;n=p+1|0;if((p|0)<1)p=n;else{F=n;A=88;break}}if((A|0)==88?(A=0,q&(F|0)==2):0){i=0.0;o=0;break e}b=v+b|0;if((y|0)==(k|0))y=k;else break}q=(1<<v)+-1|0;u=1e9>>>v;p=0;n=y;o=y;do{D=G+(o<<2)|0;E=c[D>>2]|0;a=(E>>>v)+p|0;c[D>>2]=a;p=O(E&q,u)|0;a=(o|0)==(n|0)&(a|0)==0;m=a?m+-9|0:m;n=a?n+1&127:n;o=o+1&127}while((o|0)!=(k|0));if(!p)continue;if((w|0)!=(n|0))break;c[x>>2]=c[x>>2]|1}c[G+(k<<2)>>2]=p;k=w}do{n=o+y&127;m=k+1&127;if((n|0)==(k|0)){c[G+(m+-1<<2)>>2]=0;k=m}i=i*1.0e9+ +((c[G+(n<<2)>>2]|0)>>>0);o=o+1|0}while((o|0)!=2);t=+(g|0);j=i*t;o=b+53|0;p=o-f|0;q=(p|0)<(e|0);n=q?((p|0)>0?p:0):e;if((n|0)<53){K=+LJ(+IJ(1.0,105-n|0),j);r=+NJ(j,+IJ(1.0,53-n|0));s=K;i=r;r=K+(j-r)}else{s=0.0;i=0.0;r=j}m=y+2&127;if((m|0)!=(k|0)){m=c[G+(m<<2)>>2]|0;do if(m>>>0>=5e8){if((m|0)!=5e8){i=t*.75+i;break}if((y+3&127|0)==(k|0)){i=t*.5+i;break}else{i=t*.75+i;break}}else{if((m|0)==0?(y+3&127|0)==(k|0):0)break;i=t*.25+i}while(0);if((53-n|0)>1?!(+NJ(i,1.0)!=0.0):0)j=i+1.0;else j=i}else j=i;i=r+j-s;do if((o&2147483647|0)>(-2-H|0)){H=!(+B(+i)>=9007199254740992.0);b=b+((H^1)&1)|0;i=H?i:i*.5;if((b+50|0)<=(I|0)?!(j!=0.0&(q&((n|0)!=(p|0)|H))):0)break;c[(jJ()|0)>>2]=34}while(0);i=+MJ(i,b)}while(0);l=J;return +i}function mM(a,b){a=a|0;b=b|0;var e=0,f=0,g=0,h=0,i=0;h=a+4|0;e=c[h>>2]|0;i=a+100|0;if(e>>>0<(c[i>>2]|0)>>>0){c[h>>2]=e+1;e=d[e>>0]|0}else e=cK(a)|0;switch(e|0){case 43:case 45:{f=(e|0)==45&1;e=c[h>>2]|0;if(e>>>0<(c[i>>2]|0)>>>0){c[h>>2]=e+1;e=d[e>>0]|0}else e=cK(a)|0;if((b|0)!=0&(e+-48|0)>>>0>9?(c[i>>2]|0)!=0:0)c[h>>2]=(c[h>>2]|0)+-1;break}default:f=0}if((e+-48|0)>>>0>9)if(!(c[i>>2]|0)){f=-2147483648;e=0}else{c[h>>2]=(c[h>>2]|0)+-1;f=-2147483648;e=0}else{g=0;do{g=e+-48+(g*10|0)|0;e=c[h>>2]|0;if(e>>>0<(c[i>>2]|0)>>>0){c[h>>2]=e+1;e=d[e>>0]|0}else e=cK(a)|0}while((e+-48|0)>>>0<10&(g|0)<214748364);b=((g|0)<0)<<31>>31;if((e+-48|0)>>>0<10)do{b=GN(g|0,b|0,10,0)|0;g=z;e=HN(e|0,((e|0)<0)<<31>>31|0,-48,-1)|0;g=HN(e|0,z|0,b|0,g|0)|0;b=z;e=c[h>>2]|0;if(e>>>0<(c[i>>2]|0)>>>0){c[h>>2]=e+1;e=d[e>>0]|0}else e=cK(a)|0}while((e+-48|0)>>>0<10&((b|0)<21474836|(b|0)==21474836&g>>>0<2061584302));if((e+-48|0)>>>0<10)do{e=c[h>>2]|0;if(e>>>0<(c[i>>2]|0)>>>0){c[h>>2]=e+1;e=d[e>>0]|0}else e=cK(a)|0}while((e+-48|0)>>>0<10);if(c[i>>2]|0)c[h>>2]=(c[h>>2]|0)+-1;i=(f|0)!=0;e=IN(0,0,g|0,b|0)|0;f=i?z:b;e=i?e:g}z=f;return e|0}function nM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;e=a+84|0;g=c[e>>2]|0;h=d+256|0;f=ZJ(g,0,h)|0;f=(f|0)==0?h:f-g|0;d=f>>>0<d>>>0?f:d;TN(b|0,g|0,d|0)|0;c[a+4>>2]=g+d;b=g+f|0;c[a+8>>2]=b;c[e>>2]=b;return d|0}function oM(a,b,c){a=a|0;b=b|0;c=c|0;return pM(a,b,c)|0}function pM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;if((c[a+76>>2]|0)>-1){e=(OK(a)|0)==0;b=qM(a,b,d)|0;if(!e)PK(a)}else b=qM(a,b,d)|0;return b|0}function qM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;if((d|0)==1)b=b-(c[a+8>>2]|0)+(c[a+4>>2]|0)|0;e=a+20|0;f=a+28|0;if((c[e>>2]|0)>>>0>(c[f>>2]|0)>>>0?(bb[c[a+36>>2]&31](a,0,0)|0,(c[e>>2]|0)==0):0)b=-1;else{c[a+16>>2]=0;c[f>>2]=0;c[e>>2]=0;if((bb[c[a+40>>2]&31](a,b,d)|0)<0)b=-1;else{c[a+8>>2]=0;c[a+4>>2]=0;c[a>>2]=c[a>>2]&-17;b=0}}return b|0}function rM(b){b=b|0;var c=0,d=0,e=0,f=0,g=0;while(1){e=b+1|0;if(!(XJ(a[b>>0]|0)|0))break;else b=e}d=a[b>>0]|0;switch(d<<24>>24|0){case 45:{b=1;f=5;break}case 43:{b=0;f=5;break}default:{g=0;c=b;b=d}}if((f|0)==5){g=b;c=e;b=a[e>>0]|0}if(!(_J(b<<24>>24)|0))b=0;else{b=0;do{b=(b*10|0)+48-(a[c>>0]|0)|0;c=c+1|0}while((_J(a[c>>0]|0)|0)!=0)}return (g|0?b:0-b|0)|0}function sM(a){a=a|0;return +(+tM(a,0))}function tM(a,b){a=a|0;b=b|0;return +(+uM(a,b,1))}function uM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0,g=0,h=0,i=0;i=l;l=l+128|0;h=i;f=h;g=f+124|0;do{c[f>>2]=0;f=f+4|0}while((f|0)<(g|0));f=h+4|0;c[f>>2]=a;g=h+8|0;c[g>>2]=-1;c[h+44>>2]=a;c[h+76>>2]=-1;aK(h,0);e=+jM(h,d,1);d=(c[f>>2]|0)-(c[g>>2]|0)+(c[h+108>>2]|0)|0;if(b|0)c[b>>2]=d|0?a+d|0:a;l=i;return +e}function vM(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;var f=0,g=0,h=0;a:do if(!c)b=0;else{h=b;while(1){g=c>>>1;b=h+(O(g,d)|0)|0;f=ab[e&63](a,b)|0;if(!f)break a;if((c|0)==1){b=0;break a}f=(f|0)<0;c=f?g:c-g|0;if(!c){b=0;break}else h=f?h:b}}while(0);return b|0}function wM(a,c){a=a|0;c=c|0;var d=0,f=0,g=0;g=a+2|0;f=a+4|0;d=GN((e[c+2>>1]|0)<<16|(e[c>>1]|0)|0,e[c+4>>1]|0|0,(e[g>>1]|0)<<16|(e[a>>1]|0)|0,e[f>>1]|0|0)|0;c=HN(d|0,z|0,e[c+6>>1]|0|0,0)|0;d=z;b[a>>1]=c;a=NN(c|0,d|0,16)|0;b[g>>1]=a;b[f>>1]=d;z=d&65535;return c|0}function xM(a){a=a|0;TN(173876,58668,6)|0;TN(58668,a|0,6)|0;return 173876}function yM(a){a=a|0;var c=0,d=0;c=l;l=l+16|0;d=c;b[d>>1]=13070;b[d+2>>1]=a;b[d+4>>1]=a>>>16;xM(d)|0;l=c;return}function zM(a){a=a|0;var b=0;b=wM(a,58674)|0;b=ON(b|0,z|0,4)|0;a=z|1072693248;c[j>>2]=b;c[j+4>>2]=a;return +(+h[j>>3]+-1.0)}function AM(){return +(+zM(58668))}function BM(a,b){a=a|0;b=b|0;if(!a)b=$I(1,24)|0;else VN(b|0,0,24)|0;return b|0}function CM(a){a=a|0;var b=0,d=0;b=c[a>>2]|0;if(b|0)do{_I(c[b>>2]|0);d=b;b=c[b+4>>2]|0;_I(d)}while((b|0)!=0);_I(a);return}function DM(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0;h=a+16|0;a:do if(!(c[h>>2]|0)){k=a+12|0;g=c[k>>2]|0;if(g>>>0<f>>>0){do if(b)if(!d){c[h>>2]=1;b=0;break a}else{h=a+8|0;c[h>>2]=d;g=1024;b=d;break}else{g=f<<3;g=g>>>0>1024?g:1024;j=ZI(8)|0;if(!j){c[h>>2]=1;b=0;break a}b=ZI(g)|0;c[j>>2]=b;d=b;if(!b){_I(j);c[h>>2]=1;b=0;break a}c[j+4>>2]=0;h=a+4|0;i=c[h>>2]|0;if(i|0)c[i+4>>2]=j;if(!(c[a>>2]|0))c[a>>2]=j;c[h>>2]=j;h=a+8|0;c[h>>2]=d}while(0);c[k>>2]=g}else{h=a+8|0;b=c[h>>2]|0;d=b}d=d+f&3;d=((d|0)==0?0:4-d|0)+f|0;c[h>>2]=b+d;c[k>>2]=g-d;if(e)VN(b|0,0,d|0)|0}else b=0;while(0);return b|0}function EM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0;v=l;l=l+48|0;h=v;t=FM()|0;a:do if(!t)b=12;else{u=BM(0,0)|0;if(!u){GM(t);b=12;break}VN(h|0,0,36)|0;c[h>>2]=u;c[h+4>>2]=t;c[h+16>>2]=b;c[h+32>>2]=d;e=h+28|0;c[e>>2]=-1;b=HM(h)|0;b:do if(!b){g=h+20|0;r=c[g>>2]|0;c[a>>2]=r+-1;i=c[h+8>>2]|0;if((c[e>>2]|0)<(r|0)){r=$I(1,68)|0;if(r){q=(c[e>>2]|0)>>>31^1;c[r+60>>2]=q;c[r+64>>2]=0;c[r+28>>2]=c[g>>2];if((d&8|0)==0|(q|0)!=0){b=IM(0,t,i,r)|0;if(b|0){g=r;h=0;i=0;f=0;e=0;break}e=r+40|0;b=c[e>>2]|0;if((b|0)>0){b=ZI((b<<2)+4|0)|0;if(!b){g=r;h=0;i=0;b=12;f=0;e=0;break}c[r+32>>2]=b;VN(b|0,-1,(c[e>>2]<<2)+4|0)|0;f=b;b=c[e>>2]|0}else f=0;q=$I(b<<1|1,4)|0;c[r+36>>2]=q;if(!q){g=r;h=0;i=0;b=12;f=0;e=0;break}b=$I(c[g>>2]|0,12)|0;if(!b){g=r;h=0;i=0;b=12;f=0;e=0;break}c[r+16>>2]=b;b=IM(u,t,i,r)|0;if(!b)b=f;else{g=r;h=0;i=0;f=0;e=0;break}}else b=0;p=h+24|0;b=JM(u,t,i,p,b)|0;if(!b){b=c[p>>2]|0;c[p>>2]=b+1;b=KM(u,0,0,b)|0;if((b|0)!=0?(s=LM(u,i,b)|0,(s|0)!=0):0){b=MM(u,t,s)|0;if(!b){o=ZI(c[p>>2]<<2)|0;if(o){q=ZI(c[p>>2]<<2)|0;if(q){b=c[p>>2]|0;if((b|0)>0)VN(o|0,0,b<<2|0)|0;NM(s,0,o,0)|0;f=c[p>>2]|0;if((f|0)>0){b=0;e=0;do{c[q+(e<<2)>>2]=b;n=o+(e<<2)|0;b=b+1+(c[n>>2]|0)|0;c[n>>2]=0;e=e+1|0}while((e|0)<(f|0));k=b}else k=0;m=$I(k+1|0,32)|0;if(m){c[r>>2]=m;n=r+4|0;c[n>>2]=k;b=NM(s,m,o,q)|0;if(!b){c[r+20>>2]=0;f=s+24|0;b=c[f>>2]|0;e=0;while(1){e=e+1|0;if((c[b>>2]|0)<=-1)break;else b=b+32|0}j=$I(e,32)|0;if(!j){g=r;h=o;i=q;b=12;f=o;e=q}else{c[r+8>>2]=j;f=c[f>>2]|0;e=c[f>>2]|0;if((e|0)>-1){b=0;do{c[j+(b<<5)+8>>2]=m+(c[q+(e<<2)>>2]<<5);c[j+(b<<5)+12>>2]=e;h=j+(b<<5)+16|0;c[h>>2]=0;i=f+12|0;g=c[i>>2]|0;if(g|0){e=0;do{w=e;e=e+1|0}while((c[g+(w<<2)>>2]|0)>-1);e=e<<2;g=ZI(e)|0;c[h>>2]=g;if(!g){g=r;h=o;i=q;b=12;f=o;e=q;break b}TN(g|0,c[i>>2]|0,e|0)|0}c[j+(b<<5)+20>>2]=c[f+16>>2];b=b+1|0;f=f+32|0;e=c[f>>2]|0}while((e|0)>-1)}else b=0;c[j+(b<<5)+8>>2]=0;c[n>>2]=k;c[r+12>>2]=m+(c[q+(c[c[s+28>>2]>>2]<<2)>>2]<<5);c[r+52>>2]=c[p>>2];c[r+56>>2]=d;CM(u);GM(t);_I(o);_I(q);c[a+4>>2]=r;b=0;break a}}else{g=r;h=o;i=q;f=o;e=q}}else{g=r;h=o;i=q;b=12;f=o;e=q}}else{g=r;h=o;i=q;b=12;f=o;e=0}}else{g=r;h=o;i=0;b=12;f=0;e=0}}else{g=r;h=0;i=0;f=0;e=0}}else{g=r;h=0;i=0;b=12;f=0;e=0}}else{g=r;h=0;i=0;f=0;e=0}}else{g=r;h=0;i=0;b=12;f=0;e=0}}else{g=0;h=0;i=0;b=6;f=0;e=0}}else{g=0;h=0;i=0;f=0;e=0}while(0);CM(u);GM(t);if(h|0)_I(f);if(i|0)_I(e);c[a+4>>2]=g;OM(a)}while(0);l=v;return b|0}function FM(){var a=0,b=0;a=ZI(20)|0;do if(a){b=ZI(2048)|0;c[a+16>>2]=b;if(!b){_I(a);a=0;break}else{c[a>>2]=512;c[a+4>>2]=1024e3;c[a+8>>2]=128;c[a+12>>2]=0;break}}while(0);return a|0}function GM(a){a=a|0;_I(c[a+16>>2]|0);_I(a);return}function HM(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+16|0;p=u+4|0;q=u;r=c[b+32>>2]&1;s=b+16|0;e=c[s>>2]|0;t=c[b+4>>2]|0;d=SM(t,0)|0;a:do if(!d){m=(r|0)!=0;n=b+8|0;o=b+12|0;d=0;k=1;b:while(1){g=0;h=d;f=0;c:while(1){d=a[e>>0]|0;if(m){if(d<<24>>24==40)break;if((h|0)!=0&d<<24>>24==41)j=13;else j=14}else if(d<<24>>24==92)switch(a[e+1>>0]|0){case 40:break c;case 41:{j=13;break}default:j=14}else j=14;if((j|0)==13){j=0;i=KM(c[b>>2]|0,-1,-1,-1)|0;c[n>>2]=i;if(!i){d=12;break a}else i=f}else if((j|0)==14){j=0;d=fN(b,e)|0;if(d|0)break a;i=f;e=c[o>>2]|0}d:while(1){e:while(1){d=a[e>>0]|0;switch(d<<24>>24){case 42:case 92:break;default:{if(!m)break e;switch(d<<24>>24){case 123:case 63:case 43:break;default:break e}}}d=d<<24>>24==92;if(m&d)break;f=e+1|0;if(d)switch(a[f>>0]|0){case 123:case 63:case 43:break;default:break e}e=d?f:e;if((!m?(e|0)==((c[s>>2]|0)+1|0):0)?(a[e+-1>>0]|0)==94:0)break;if((a[e>>0]|0)==123){e=gN(e+1|0,r,p,q)|0;if(!e){j=28;break b}d=c[q>>2]|0;f=c[b>>2]|0;if(!d)d=KM(f,-1,-1,-1)|0;else j=36}else{c[p>>2]=0;c[q>>2]=-1;d=a[e>>0]|0;if(d<<24>>24==43){c[p>>2]=1;d=a[e>>0]|0}if(d<<24>>24==63){c[q>>2]=1;d=1}else d=-1;e=e+1|0;f=c[b>>2]|0;j=36}if((j|0)==36){j=0;d=aN(f,c[n>>2]|0,c[p>>2]|0,d,0)|0}c[n>>2]=d;if(!d){d=12;break a}}d=LM(c[b>>2]|0,g,c[n>>2]|0)|0;f=a[e>>0]|0;f:do if(m){if(f<<24>>24==124){j=40;break d}if((h|0)!=0&f<<24>>24==41|f<<24>>24==0)j=47;else{g=d;f=i;continue c}}else{switch(f<<24>>24){case 0:{j=47;break f}case 92:break;default:{g=d;f=i;continue c}}switch(a[e+1>>0]|0){case 124:case 41:break;default:{g=d;f=i;continue c}}d=bN(c[b>>2]|0,i,d)|0;if((a[e+1>>0]|0)==124){f=2;break d}if(!h){d=8;break a}e=e+2|0;f=92}while(0);if((j|0)==47){j=0;d=bN(c[b>>2]|0,i,d)|0;e=f<<24>>24==41?e+1|0:e}d=hN(b,d,TM(t)|0)|0;if(d|0)break a;d=f<<24>>24==0;f=(h|0)<1;if(f&d){j=50;break b}if(f|d){d=8;break a}g=UM(t)|0;h=h+-1|0;i=UM(t)|0}if((j|0)==40){f=1;d=bN(c[b>>2]|0,i,d)|0}g=0;e=e+f|0;f=d}d=RM(t,f)|0;if(d|0)break a;d=RM(t,g)|0;if(d|0)break a;d=SM(t,k)|0;if(d|0)break a;d=h+1|0;k=k+1|0;e=m?e+1|0:e+2|0}if((j|0)==28){d=10;break}else if((j|0)==50){c[b+20>>2]=k;d=0;break}}while(0);l=u;return d|0}function IM(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0;x=QM(d)|0;y=(b|0)==0|(f|0)==0;if(!y){c[f+48>>2]=0;c[c[f+36>>2]>>2]=-1}g=f+28|0;z=ZI((c[g>>2]<<3)+8|0)|0;do if(!z)g=12;else{c[z>>2]=-1;A=ZI((c[g>>2]<<2)+4|0)|0;if(!A){_I(z);g=12;break}c[A>>2]=-1;B=ZI((c[g>>2]<<3)+8|0)|0;if(!B){_I(z);_I(A);g=12;break}h=c[g>>2]|0;g=0;do{c[B+(g<<3)>>2]=-1;g=g+1|0}while(g>>>0<=h>>>0);RM(d,e)|0;g=SM(d,0)|0;a:do if((g|0)!=0|(QM(d)|0)<=(x|0)){e=z;n=0;h=0;m=0;l=-1}else{u=f+32|0;v=f+36|0;w=f+16|0;e=z;n=0;h=0;m=0;t=1;l=-1;s=0;while(1){b:do switch(TM(d)|0){case 6:{i=TM(d)|0;g=0;do{j=e+(g<<2)|0;g=g+1|0}while((c[j>>2]|0)>-1);c[j>>2]=i<<1|1;c[e+(g<<2)>>2]=-1;g=0;while(1)if((c[A+(g<<2)>>2]|0)>-1)g=g+1|0;else break;c[A+(g+-1<<2)>>2]=-1;g=0;j=t;i=s;break}case 0:{q=UM(d)|0;r=q+12|0;j=c[r>>2]|0;if((j|0)>-1){g=0;do{i=e+(g<<2)|0;g=g+1|0}while((c[i>>2]|0)>-1);c[i>>2]=j<<1;c[e+(g<<2)>>2]=-1;if(!y){g=0;while(1)if((c[A+(g<<2)>>2]|0)>-1)g=g+1|0;else break;c[(c[w>>2]|0)+(j*12|0)+8>>2]=0;if((g|0)>0){g=ZI((g<<2)+4|0)|0;if(!g){g=12;j=t;i=s;break b}c[(c[w>>2]|0)+(j*12|0)+8>>2]=g;i=c[A>>2]|0;if((i|0)>-1){k=0;j=g;do{c[j>>2]=i;k=k+1|0;i=c[A+(k<<2)>>2]|0;j=g+(k<<2)|0}while((i|0)>-1);g=j}c[g>>2]=-1}}g=SM(d,c[r>>2]|0)|0;if(g|0){j=t;i=s;break b}g=SM(d,6)|0;if(g|0){j=t;i=s;break b}}c:do switch(c[q>>2]|0){case 0:{p=c[c[q+4>>2]>>2]|0;if((p|0)>-1|(p|0)==-4?(c[e>>2]|0)>-1:0){if(y){c[q+20>>2]=1;g=0}else{g=cN(b,q,m)|0;c[(c[u>>2]|0)+(m<<2)>>2]=s;if((l|0)>-1){j=c[v>>2]|0;i=0;while(1){k=j+(i<<2)|0;o=i+1|0;if((c[k>>2]|0)>-1)i=o;else break}c[k>>2]=m;c[j+(o<<2)>>2]=l;c[j+(i+2<<2)>>2]=-1;h=h+1|0;l=-1}dN(e,f,m)}c[e>>2]=-1;p=t+1|0;o=s;n=n+1|0;m=t}else{p=t;g=0;o=s}break}case 1:{j=c[q+4>>2]|0;k=c[j>>2]|0;j=c[j+4>>2]|0;g=RM(d,q)|0;if(!g){g=SM(d,5)|0;if(!g){g=RM(d,j)|0;if(!g){g=SM(d,0)|0;if(!g){i=k+20|0;g=SM(d,(c[i>>2]|0)+t|0)|0;if(!g){if((c[i>>2]|0)>0){i=(c[j+20>>2]|0)>0;g=i?t:-1;i=t+(i&1)|0}else{g=-1;i=t}g=SM(d,g)|0;if(!g){g=SM(d,4)|0;if(!g){g=RM(d,k)|0;if(!g){p=i;g=SM(d,0)|0;o=s}else{p=i;o=s}}else{p=i;o=s}}else{p=i;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}break}case 2:{i=c[q+4>>2]|0;if(y){if((c[e>>2]|0)>-1)g=1;else g=(a[i+12>>0]&1)!=0;g=SM(d,g&1)|0;if(g|0){p=t;o=s;break c}}else{g=SM(d,m)|0;if(g|0){p=t;o=s;break c}g=SM(d,a[i+12>>0]&1)|0;if(g|0){p=t;o=s;break c}}g=RM(d,q)|0;if(!g){g=SM(d,1)|0;if(!g){g=RM(d,c[i>>2]|0)|0;if(!g){g=SM(d,0)|0;if(!g){if((c[e>>2]|0)<=-1?(a[i+12>>0]&1)==0:0){p=t;g=0;o=0;break c}if(y)g=0;else{g=cN(b,q,m)|0;c[(c[u>>2]|0)+(m<<2)>>2]=(a[i+12>>0]&1)==0?s:1;if((l|0)>-1){j=c[v>>2]|0;i=0;while(1){k=j+(i<<2)|0;o=i+1|0;if((c[k>>2]|0)>-1)i=o;else break}c[k>>2]=m;c[j+(o<<2)>>2]=l;c[j+(i+2<<2)>>2]=-1;h=h+1|0;l=-1}dN(e,f,m)}c[e>>2]=-1;p=t+1|0;o=0;n=n+1|0;m=t}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}break}case 3:{j=c[q+4>>2]|0;k=c[j>>2]|0;j=c[j+4>>2]|0;i=(c[e>>2]|0)>-1;p=t+1|0;g=SM(d,i?p:t)|0;if(!g){g=SM(d,i?t:m)|0;if(!g){g=RM(d,e)|0;if(!g){g=SM(d,(c[e>>2]|0)>>>31^1)|0;if(!g){g=RM(d,q)|0;if(!g){g=RM(d,j)|0;if(!g){g=RM(d,k)|0;if(!g){g=SM(d,3)|0;if(!g){g=RM(d,j)|0;if(!g){g=SM(d,0)|0;if(g|0){p=t;o=s;break c}g=SM(d,2)|0;if(g|0){p=t;o=s;break c}g=RM(d,k)|0;if(g|0){p=t;o=s;break c}g=SM(d,0)|0;if(g|0){p=t;o=s;break c}if((c[e>>2]|0)>-1){if(y)g=0;else{g=cN(b,q,m)|0;c[(c[u>>2]|0)+(m<<2)>>2]=s;if((l|0)>-1){j=c[v>>2]|0;i=0;while(1){k=j+(i<<2)|0;o=i+1|0;if((c[k>>2]|0)>-1)i=o;else break}c[k>>2]=m;c[j+(o<<2)>>2]=l;c[j+(i+2<<2)>>2]=-1;h=h+1|0;l=-1}dN(e,f,m)}c[e>>2]=-1;n=n+1|0;m=t;i=p}else{g=0;i=t}t=(c[q+16>>2]|0)>0;p=t?i+2|0:i;o=s;m=t?i+1|0:m}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}break}default:{p=t;g=0;o=s}}while(0);j=c[r>>2]|0;if((j|0)>-1){i=0;do{k=A+(i<<2)|0;i=i+1|0}while((c[k>>2]|0)>-1);c[k>>2]=j;c[A+(i<<2)>>2]=-1;j=p;i=o}else{j=p;i=o}break}case 1:{g=UM(d)|0;if(y){i=c[(c[c[g+4>>2]>>2]|0)+20>>2]|0;c[g+20>>2]=(TM(d)|0)+i;i=0;l=-1}else{q=TM(d)|0;r=TM(d)|0;i=q;l=(q|0)==0?l:r}g=0;j=t;i=y?s:(i|0)==0&1;break}case 4:{i=TM(d)|0;j=TM(d)|0;g=0;m=(i|0)>-1?i:m;i=s;break}case 5:{g=UM(d)|0;if(y){j=c[g+4>>2]|0;c[g+20>>2]=(c[(c[j+4>>2]|0)+20>>2]|0)+(c[(c[j>>2]|0)+20>>2]|0);g=0;j=t;i=s}else{g=0;j=t;i=s}break}case 2:{while(1)if((c[e>>2]|0)>-1)e=e+4|0;else{g=0;j=t;i=s;break}break}case 3:{j=UM(d)|0;o=UM(d)|0;g=UM(d)|0;e=TM(d)|0;if(y){r=c[g+4>>2]|0;s=g+16|0;c[g+20>>2]=(c[(c[r>>2]|0)+20>>2]|0)+e+(c[(c[r+4>>2]|0)+20>>2]|0)+((c[s>>2]|0)>0?2:0);g=s}else g=g+16|0;e=UM(d)|0;i=TM(d)|0;k=TM(d)|0;if((c[g>>2]|0)>0){if(y)g=0;else{g=eN(b,j,i)|0;c[(c[u>>2]|0)+(i<<2)>>2]=1;if(!g)g=eN(b,o,k)|0;c[(c[u>>2]|0)+(k<<2)>>2]=1}n=n+2|0;j=t;i=1}else{g=0;j=t;i=1}break}default:{g=0;j=t;i=s}}while(0);if((g|0)!=0|(QM(d)|0)<=(x|0))break a;else{t=j;s=i}}}while(0);if(!y?(dN(e,f,m),(l|0)>-1):0){i=c[f+36>>2]|0;e=0;while(1){j=i+(e<<2)|0;k=e+1|0;if((c[j>>2]|0)>-1)e=k;else break}c[j>>2]=m;c[i+(k<<2)>>2]=l;c[i+(e+2<<2)>>2]=-1;h=h+1|0}c[f+48>>2]=n;c[f+40>>2]=n;c[f+44>>2]=h;_I(z);_I(A);_I(B)}while(0);return g|0}function JM(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0;y=l;l=l+16|0;t=y+12|0;x=y+8|0;u=y+4|0;v=y;w=QM(b)|0;c[t>>2]=0;c[x>>2]=0;d=RM(b,d)|0;a:do if(!d){d=SM(b,0)|0;if(!d){b:do if((QM(b)|0)>(w|0)){g=0;i=0;j=0;c:while(1){q=TM(b)|0;r=UM(b)|0;d:do switch(q|0){case 0:{switch(c[r>>2]|0){case 0:{d=c[r+4>>2]|0;r=c[d>>2]|0;if(!((r|0)>-1|(r|0)==-4)){d=j;break d}r=d+8|0;d=(c[r>>2]|0)+j|0;c[r>>2]=d;if((d|0)<=(c[x>>2]|0)){d=j;break d}c[x>>2]=d;d=j;break d}case 3:{h=c[r+4>>2]|0;d=RM(b,c[h+4>>2]|0)|0;if(d|0)break b;d=SM(b,0)|0;if(d|0)break b;d=RM(b,c[h>>2]|0)|0;if(d|0)break b;break}case 1:{h=c[r+4>>2]|0;d=RM(b,c[h+4>>2]|0)|0;if(d|0)break b;d=SM(b,0)|0;if(d|0)break b;d=RM(b,c[h>>2]|0)|0;if(d|0)break b;break}case 2:{h=c[r+4>>2]|0;d=SM(b,j)|0;if(d|0)break b;d=RM(b,r)|0;if(d|0)break b;d=SM(b,1)|0;if(d|0)break b;d=RM(b,c[h>>2]|0)|0;if(d|0)break b;d=SM(b,0)|0;if(d|0)break b;if((c[h+4>>2]|0)<=1?(c[h+8>>2]|0)<=1:0)d=j;else{c[t>>2]=0;d=0}i=i+1|0;break d}default:{d=j;break d}}d=SM(b,0)|0;if(!d)d=j;else break b;break}case 1:{p=r+4|0;o=c[p>>2]|0;q=TM(b)|0;c[t>>2]=q;n=o+4|0;j=c[n>>2]|0;if((j|0)<=1)if((c[o+8>>2]|0)>1){c[u>>2]=0;if((j|0)>0)s=30;else{d=q;h=0;s=37}}else d=q;else{c[u>>2]=0;s=30}e:do if((s|0)==30){d=$M(a,b,c[o>>2]|0,(j|0)>1?1:2,t,f,v,x)|0;if(!d){h=0;k=q;m=1}else{s=34;break c}while(1){d=c[v>>2]|0;if(!h)h=d;else h=LM(a,h,d)|0;if(!h){d=12;s=34;break c}j=c[n>>2]|0;if((m|0)>=(j|0)){d=k;s=37;break e}k=c[t>>2]|0;m=m+1|0;d=$M(a,b,c[o>>2]|0,(m|0)<(j|0)?1:2,t,f,v,x)|0;if(d|0){s=34;break c}}}while(0);if((s|0)==37){s=0;n=o+8|0;k=c[n>>2]|0;if((k|0)==-1){k=c[t>>2]|0;d=$M(a,b,c[o>>2]|0,0,t,0,u,x)|0;if(d|0)break c;j=aN(a,c[u>>2]|0,0,-1,0)|0;c[u>>2]=j;if(!j){d=12;break c}else d=k}else if((j|0)<(k|0)){k=j;j=0;while(1){m=c[t>>2]|0;d=$M(a,b,c[o>>2]|0,0,t,0,v,x)|0;if(d|0){s=49;break c}if(!j){d=c[v>>2]|0;c[u>>2]=d}else{d=LM(a,c[v>>2]|0,j)|0;c[u>>2]=d}if(!d){d=12;s=49;break c}j=KM(a,-1,-1,-1)|0;if(!j){d=12;s=49;break c}j=bN(a,j,d)|0;c[u>>2]=j;if(!j){d=12;s=49;break c}k=k+1|0;if((k|0)>=(c[n>>2]|0)){d=m;break}}}else j=0;c[t>>2]=d;if(h){if(j){h=LM(a,h,j)|0;s=54}}else{h=j;s=54}if((s|0)==54){s=0;if(!h){d=12;break c}}c[p>>2]=c[h+4>>2];c[r>>2]=c[h>>2]}i=i+-1|0;h=d-q+g|0;if(!i){c[t>>2]=h;g=h;i=0;d=h}else g=h;break}default:d=j}while(0);if((QM(b)|0)>(w|0))j=d;else{d=0;break b}}break a}else{d=0;g=0}while(0);w=(c[e>>2]|0)+g|0;x=c[x>>2]|0;c[e>>2]=(x|0)>(w|0)?x:w}}while(0);l=y;return d|0}function KM(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;f=DM(a,0,0,1,20)|0;a=_M(a,0,f)|0;if(!a)a=0;else{c[f>>2]=b;c[f+4>>2]=d;c[f+8>>2]=e}return a|0}function LM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;if(b){e=DM(a,0,0,1,8)|0;a=_M(a,1,e)|0;if(!a)d=0;else{c[e>>2]=b;c[e+4>>2]=d;c[a+16>>2]=(c[d+16>>2]|0)+(c[b+16>>2]|0);d=a}}return d|0}function MM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;j=o+4|0;k=o;m=QM(b)|0;d=RM(b,d)|0;a:do if(!d){d=SM(b,0)|0;if(!d)if((QM(b)|0)>(m|0)){b:while(1){h=TM(b)|0;i=UM(b)|0;c:do switch(h|0){case 0:switch(c[i>>2]|0){case 0:{g=c[i+4>>2]|0;f=c[g>>2]|0;if((f|0)==-4){c[i+8>>2]=0;d=g+8|0;h=VM(a,c[d>>2]|0,0,1114111,0,0,-1)|0;c[i+24>>2]=h;if(!h){d=12;break a}h=VM(a,c[d>>2]|0,0,1114111,0,0,c[g+4>>2]|0)|0;c[i+28>>2]=h;if(!h){d=12;break a}else break c}d=i+8|0;if((f|0)<0){c[d>>2]=1;h=WM(a)|0;c[i+24>>2]=h;if(!h){d=12;break a}h=WM(a)|0;c[i+28>>2]=h;if(!h){d=12;break a}else break c}else{c[d>>2]=0;d=g+8|0;e=g+4|0;h=VM(a,c[d>>2]|0,f,c[e>>2]|0,0,0,-1)|0;c[i+24>>2]=h;if(!h){d=12;break a}h=VM(a,c[d>>2]|0,c[g>>2]|0,c[e>>2]|0,c[g+12>>2]|0,c[g+16>>2]|0,-1)|0;c[i+28>>2]=h;if(!h){d=12;break a}else break c}}case 3:{d=RM(b,i)|0;if(d|0)break a;d=SM(b,1)|0;if(d|0)break a;e=i+4|0;d=RM(b,c[(c[e>>2]|0)+4>>2]|0)|0;if(d|0)break a;d=SM(b,0)|0;if(d|0)break a;d=RM(b,c[c[e>>2]>>2]|0)|0;if(d|0)break a;d=SM(b,0)|0;if(!d)break c;else break a}case 1:{d=RM(b,i)|0;if(d|0)break a;d=SM(b,2)|0;if(d|0)break a;e=i+4|0;d=RM(b,c[(c[e>>2]|0)+4>>2]|0)|0;if(d|0)break a;d=SM(b,0)|0;if(d|0)break a;d=RM(b,c[c[e>>2]>>2]|0)|0;if(d|0)break a;d=SM(b,0)|0;if(!d)break c;else break a}case 2:{d=RM(b,i)|0;if(d|0)break a;d=SM(b,3)|0;if(d|0)break a;d=RM(b,c[c[i+4>>2]>>2]|0)|0;if(d|0)break a;d=SM(b,0)|0;if(!d)break c;else break a}default:break c}case 1:{d=c[i+4>>2]|0;e=c[d>>2]|0;f=d+4|0;g=c[f>>2]|0;if(!(c[e+8>>2]|0))h=(c[g+8>>2]|0)!=0;else h=1;c[i+8>>2]=h&1;h=XM(a,c[e+24>>2]|0,c[g+24>>2]|0,0,0)|0;c[i+24>>2]=h;if(!h){d=12;break a}h=XM(a,c[(c[d>>2]|0)+28>>2]|0,c[(c[f>>2]|0)+28>>2]|0,0,0)|0;c[i+28>>2]=h;if(!h){d=12;break a}break}case 3:{h=c[i+4>>2]|0;d=c[h>>2]|0;if(!(c[h+4>>2]|0))e=1;else e=(c[d+8>>2]|0)!=0&1;c[i+8>>2]=e;c[i+24>>2]=c[d+24>>2];c[i+28>>2]=c[d+28>>2];break}case 2:{g=c[i+4>>2]|0;d=c[g>>2]|0;e=d+8|0;if(!(c[e>>2]|0))f=0;else f=(c[(c[g+4>>2]|0)+8>>2]|0)!=0;c[i+8>>2]=f&1;if(c[e>>2]|0){d=YM(b,d,0,0,j)|0;if(d|0)break b;e=ZI((c[j>>2]<<2)+4|0)|0;if(!e){d=12;break b}c[e>>2]=-1;c[k>>2]=0;d=YM(b,c[g>>2]|0,e,k,0)|0;if(d|0){n=45;break b}d=g+4|0;h=i+24|0;c[h>>2]=XM(a,c[(c[d>>2]|0)+24>>2]|0,c[(c[g>>2]|0)+24>>2]|0,e,c[k>>2]|0)|0;_I(e);if(!(c[h>>2]|0)){d=12;break b}else f=d}else{c[i+24>>2]=c[d+24>>2];f=g+4|0}d=c[f>>2]|0;if(c[d+8>>2]|0){d=YM(b,d,0,0,j)|0;if(d|0)break b;e=ZI((c[j>>2]<<2)+4|0)|0;if(!e){d=12;break b}c[e>>2]=-1;c[k>>2]=0;d=YM(b,c[f>>2]|0,e,k,0)|0;if(d|0){n=52;break b}i=i+28|0;c[i>>2]=XM(a,c[(c[g>>2]|0)+28>>2]|0,c[(c[f>>2]|0)+28>>2]|0,e,c[k>>2]|0)|0;_I(e);if(!(c[i>>2]|0)){d=12;break b}}else c[i+28>>2]=c[d+28>>2];break}default:{}}while(0);if((QM(b)|0)<=(m|0)){d=0;break a}}if((n|0)==45)_I(e);else if((n|0)==52)_I(e)}else d=0}while(0);l=o;return d|0}function NM(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;a:while(1){switch(c[a>>2]|0){case 2:{a=c[a+4>>2]|0;if((c[a+8>>2]|0)==-1?(h=c[a>>2]|0,h=PM(c[h+28>>2]|0,c[h+24>>2]|0,b,d,e)|0,(h|0)!=0):0){a=h;break a}break}case 3:{f=c[a+4>>2]|0;a=NM(c[f>>2]|0,b,d,e)|0;if(a|0)break a;a=f+4|0;break}case 1:{f=c[a+4>>2]|0;g=f+4|0;a=PM(c[(c[f>>2]|0)+28>>2]|0,c[(c[g>>2]|0)+24>>2]|0,b,d,e)|0;if(a|0)break a;a=NM(c[f>>2]|0,b,d,e)|0;if(!a)a=g;else break a;break}default:{a=0;break a}}a=c[a>>2]|0}return a|0}function OM(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;h=c[a+4>>2]|0;if(h|0){e=h+4|0;a=c[h>>2]|0;if(c[e>>2]|0){d=0;do{if(c[a+(d<<5)+8>>2]|0){b=c[a+(d<<5)+16>>2]|0;if(b){_I(b);a=c[h>>2]|0}b=c[a+(d<<5)+28>>2]|0;if(b){_I(b);a=c[h>>2]|0}}d=d+1|0}while(d>>>0<(c[e>>2]|0)>>>0)}if(a|0)_I(a);d=h+8|0;a=c[d>>2]|0;if(a|0){if(c[a+8>>2]|0){while(1){b=c[a+16>>2]|0;if(b|0)_I(b);if(!(c[a+40>>2]|0))break;else a=a+32|0}a=c[d>>2]|0}_I(a)}f=h+16|0;a=c[f>>2]|0;if(a|0){g=h+28|0;b=c[g>>2]|0;if(b){e=0;do{d=c[a+(e*12|0)+8>>2]|0;if(d){_I(d);b=c[g>>2]|0;a=c[f>>2]|0}e=e+1|0}while(e>>>0<b>>>0)}_I(a)}a=c[h+32>>2]|0;if(a|0)_I(a);a=c[h+20>>2]|0;if(a|0)_I(a);a=c[h+36>>2]|0;if(a|0)_I(a);_I(h)}return}function PM(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0;g=c[a>>2]|0;h=(g|0)>-1;a:do if(!d)if(h){h=b+32|0;do{if((c[b>>2]|0)>-1?(y=e+(g<<2)|0,c[y>>2]=(c[y>>2]|0)+1,(c[h>>2]|0)>-1):0){g=h;do{y=e+(c[a>>2]<<2)|0;c[y>>2]=(c[y>>2]|0)+1;g=g+32|0}while((c[g>>2]|0)>-1)}a=a+32|0;g=c[a>>2]|0}while((g|0)>-1);g=0}else g=0;else if(h)while(1){h=c[b>>2]|0;b:do if((h|0)>-1){p=a+4|0;q=a+8|0;r=a+16|0;s=a+20|0;t=a+24|0;u=a+28|0;v=a+12|0;e=-1;g=b;while(1){o=h;while(1){if((o|0)!=(e|0))break;g=g+32|0;h=c[g>>2]|0;if((h|0)>-1)o=h;else break b}l=d+(c[f+(c[a>>2]<<2)>>2]<<5)|0;while(1){h=l+8|0;if(!(c[h>>2]|0))break;else l=l+32|0}c[l+40>>2]=0;c[l>>2]=c[p>>2];c[l+4>>2]=c[q>>2];c[h>>2]=d+(c[f+(o<<2)>>2]<<5);c[l+12>>2]=o;h=c[s>>2]|0;e=c[g+16>>2]|c[r>>2]|(h|0?4:0)|(c[t>>2]|0?8:0);i=l+20|0;c[i>>2]=e;j=c[u>>2]|0;if((j|0)>-1){c[i>>2]=e|256;h=j}c[l+24>>2]=h;e=c[t>>2]|0;if(!e)c[l+28>>2]=0;else{h=0;do{n=h;h=h+1|0}while((c[e+(n<<2)>>2]|0)!=0);h=ZI(h<<2)|0;c[l+28>>2]=h;if(!h){g=12;break a}k=c[t>>2]|0;e=c[k>>2]|0;if(e){j=0;i=h;do{c[i>>2]=e;j=j+1|0;e=c[k+(j<<2)>>2]|0;i=h+(j<<2)|0}while((e|0)!=0);h=i}c[h>>2]=0}e=c[v>>2]|0;if(!e)h=0;else{h=0;while(1)if((c[e+(h<<2)>>2]|0)>-1)h=h+1|0;else break}k=g+12|0;i=c[k>>2]|0;if(!i)e=0;else{e=0;while(1)if((c[i+(e<<2)>>2]|0)>-1)e=e+1|0;else break}j=l+16|0;i=c[j>>2]|0;if(i|0)_I(i);c[j>>2]=0;h=e+h|0;if((h|0)>0){n=ZI((h<<2)+4|0)|0;c[j>>2]=n;if(!n){g=12;break a}e=c[v>>2]|0;if((e|0)!=0?(w=c[e>>2]|0,(w|0)>-1):0){h=0;i=w;do{c[n+(h<<2)>>2]=i;h=h+1|0;i=c[e+(h<<2)>>2]|0}while((i|0)>-1);m=h}else m=0;j=c[k>>2]|0;if((j|0)!=0?(x=c[j>>2]|0,(x|0)>-1):0){k=(m|0)>0;h=m;i=0;l=x;do{c:do if(k){e=0;while(1){if((c[n+(e<<2)>>2]|0)==(l|0))break c;e=e+1|0;if((e|0)>=(m|0)){y=39;break}}}else y=39;while(0);if((y|0)==39){y=0;c[n+(h<<2)>>2]=l;h=h+1|0}i=i+1|0;l=c[j+(i<<2)>>2]|0}while((l|0)>-1)}else h=m;c[n+(h<<2)>>2]=-1}g=g+32|0;h=c[g>>2]|0;if((h|0)<=-1)break;else e=o}}while(0);a=a+32|0;if((c[a>>2]|0)<=-1){g=0;break}}else g=0;while(0);return g|0}function QM(a){a=a|0;return c[a+12>>2]|0}function RM(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=l;l=l+16|0;e=d+4|0;f=d;c[f>>2]=b;c[e>>2]=c[f>>2];b=ZM(a,e)|0;l=d;return b|0}function SM(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=l;l=l+16|0;e=d+4|0;f=d;c[f>>2]=b;c[e>>2]=c[f>>2];b=ZM(a,e)|0;l=d;return b|0}function TM(a){a=a|0;var b=0,d=0;b=c[a+16>>2]|0;d=a+12|0;a=(c[d>>2]|0)+-1|0;c[d>>2]=a;return c[b+(a<<2)>>2]|0}function UM(a){a=a|0;var b=0,d=0;b=c[a+16>>2]|0;d=a+12|0;a=(c[d>>2]|0)+-1|0;c[d>>2]=a;return c[b+(a<<2)>>2]|0}function VM(a,b,d,e,f,g,h){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;a=DM(a,0,0,1,64)|0;if(!a)a=0;else{c[a>>2]=b;c[a+4>>2]=d;c[a+8>>2]=e;c[a+20>>2]=f;c[a+24>>2]=g;c[a+28>>2]=h;c[a+32>>2]=-1;c[a+36>>2]=-1;c[a+40>>2]=-1}return a|0}function WM(a){a=a|0;a=DM(a,0,0,1,32)|0;if(!a)a=0;else{c[a>>2]=-1;c[a+4>>2]=-1;c[a+8>>2]=-1}return a|0}function XM(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;o=(e|0)==0;if(o)n=0;else{g=0;while(1)if((c[e+(g<<2)>>2]|0)>-1)g=g+1|0;else{n=g;break}}h=0;while(1)if((c[b+(h<<5)>>2]|0)>-1)h=h+1|0;else{g=0;break}while(1)if((c[d+(g<<5)>>2]|0)>-1)g=g+1|0;else break;g=DM(a,0,0,1,(g+h<<5)+32|0)|0;a:do if(!g)g=0;else{h=c[b>>2]|0;if((h|0)>-1){m=(n|0)>0;i=0;while(1){c[g+(i<<5)>>2]=h;c[g+(i<<5)+4>>2]=c[b+(i<<5)+4>>2];c[g+(i<<5)+8>>2]=c[b+(i<<5)+8>>2];c[g+(i<<5)+16>>2]=c[b+(i<<5)+16>>2]|f;c[g+(i<<5)+20>>2]=c[b+(i<<5)+20>>2];c[g+(i<<5)+24>>2]=c[b+(i<<5)+24>>2];c[g+(i<<5)+28>>2]=c[b+(i<<5)+28>>2];l=b+(i<<5)+12|0;j=c[l>>2]|0;h=(j|0)==0;if(o&h)h=0;else{if(h)k=0;else{h=0;while(1)if((c[j+(h<<2)>>2]|0)>-1)h=h+1|0;else{k=h;break}}h=DM(a,0,0,0,(k+n<<2)+4|0)|0;if(!h){g=0;break a}if((k|0)>0){l=c[l>>2]|0;j=0;do{c[h+(j<<2)>>2]=c[l+(j<<2)>>2];j=j+1|0}while((j|0)!=(k|0))}else k=0;if(m){j=0;do{c[h+(j+k<<2)>>2]=c[e+(j<<2)>>2];j=j+1|0}while((j|0)!=(n|0));j=n}else j=0;c[h+(j+k<<2)>>2]=-1}c[g+(i<<5)+12>>2]=h;i=i+1|0;h=c[b+(i<<5)>>2]|0;if((h|0)<=-1){n=i;break}}}else n=0;i=c[d>>2]|0;h=g+(n<<5)|0;if((i|0)>-1){m=0;l=n;do{c[h>>2]=i;c[g+(l<<5)+4>>2]=c[d+(m<<5)+4>>2];c[g+(l<<5)+8>>2]=c[d+(m<<5)+8>>2];c[g+(l<<5)+16>>2]=c[d+(m<<5)+16>>2];c[g+(l<<5)+20>>2]=c[d+(m<<5)+20>>2];c[g+(l<<5)+24>>2]=c[d+(m<<5)+24>>2];c[g+(l<<5)+28>>2]=c[d+(m<<5)+28>>2];j=d+(m<<5)+12|0;h=c[j>>2]|0;if(!h)h=0;else{i=0;while(1)if((c[h+(i<<2)>>2]|0)>-1)i=i+1|0;else break;h=DM(a,0,0,0,(i<<2)+4|0)|0;if(!h){g=0;break a}if((i|0)>0){k=c[j>>2]|0;j=0;do{c[h+(j<<2)>>2]=c[k+(j<<2)>>2];j=j+1|0}while((j|0)!=(i|0))}else i=0;c[h+(i<<2)>>2]=-1}c[g+(l<<5)+12>>2]=h;m=m+1|0;i=c[d+(m<<5)>>2]|0;l=m+n|0;h=g+(l<<5)|0}while((i|0)>-1)}c[h>>2]=-1}while(0);return g|0}function YM(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0;o=QM(a)|0;p=(f|0)!=0;if(p)c[f>>2]=0;b=RM(a,b)|0;a:do if(!b){m=(d|0)==0;l=(e|0)==0;if((QM(a)|0)>(o|0))while(1){b=UM(a)|0;b:do switch(c[b>>2]|0){case 0:{b=c[b+4>>2]|0;switch(c[b>>2]|0){case -3:break;case -2:{if(l)break b;c[e>>2]=c[e>>2]|c[b+4>>2];break b}default:break b}h=c[b+4>>2]|0;if((h|0)>-1){c:do if(!m){b=0;while(1){i=d+(b<<2)|0;j=c[i>>2]|0;if((j|0)<=-1)break;if((j|0)==(h|0))break c;else b=b+1|0}c[i>>2]=h;c[d+(b+1<<2)>>2]=-1}while(0);if(p)c[f>>2]=(c[f>>2]|0)+1}break}case 3:{b=c[b+4>>2]|0;h=c[b>>2]|0;if(c[h+8>>2]|0){k=h;n=6;break b}b=c[b+4>>2]|0;if(c[b+8>>2]|0){k=b;n=6}break}case 1:{b=c[b+4>>2]|0;h=RM(a,c[b>>2]|0)|0;if(h|0){g=h;break a}k=c[b+4>>2]|0;n=6;break}case 2:{b=c[c[b+4>>2]>>2]|0;if(c[b+8>>2]|0){k=b;n=6}break}default:{}}while(0);if((n|0)==6?(n=0,g=RM(a,k)|0,g|0):0)break a;if((QM(a)|0)<=(o|0)){g=0;break a}}else g=0}else g=b;while(0);return g|0}function ZM(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+16|0;g=k;d=a+12|0;e=c[d>>2]|0;j=c[a>>2]|0;if((e|0)>=(j|0)){d=c[a+4>>2]|0;if((j|0)<(d|0)?(f=(c[a+8>>2]|0)+j|0,f=(f|0)>(d|0)?d:f,h=a+16|0,i=aJ(c[h>>2]|0,f<<2)|0,(i|0)!=0):0){c[a>>2]=f;c[h>>2]=i;c[g>>2]=c[b>>2];ZM(a,g)|0;d=0}else d=12}else{c[(c[a+16>>2]|0)+(e<<2)>>2]=c[b>>2];c[d>>2]=(c[d>>2]|0)+1;d=0}l=k;return d|0}function _M(a,b,d){a=a|0;b=b|0;d=d|0;a=DM(a,0,0,1,32)|0;if((d|0)!=0&(a|0)!=0){c[a+4>>2]=d;c[a>>2]=b;c[a+8>>2]=-1;c[a+12>>2]=-1}else a=0;return a|0}function $M(b,d,e,f,g,h,i,j){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;i=i|0;j=j|0;var k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0;r=QM(d)|0;RM(d,e)|0;e=SM(d,0)|0;a:do if(!e){q=(f&1|0)==0;p=(f&2|0)!=0;o=0;l=1;e=i;while(1){if((QM(d)|0)>(r|0))n=e;else{f=o;e=0;break a}b:while(1){c:while(1){switch(TM(d)|0){case 1:{i=7;break c}case 0:{e=UM(d)|0;switch(c[e>>2]|0){case 0:{i=9;break b}case 3:{i=19;break b}case 1:{i=26;break b}case 2:{i=33;break c}default:{}}break}default:{}}if((QM(d)|0)<=(r|0)){f=o;e=0;break a}}if((i|0)==7)e=UM(d)|0;else if((i|0)==33){f=c[e+4>>2]|0;e=RM(d,c[f>>2]|0)|0;if(e|0){f=o;break a}e=SM(d,0)|0;if(e|0){f=o;break a}e=aN(b,c[f>>2]|0,c[f+4>>2]|0,c[f+8>>2]|0,a[f+12>>0]&1)|0;c[n>>2]=e;if(!e){f=o;e=12;break a}e=c[e+4>>2]|0}if((QM(d)|0)>(r|0))n=e;else{f=o;e=0;break a}}if((i|0)==9){m=c[e+4>>2]|0;i=c[m+8>>2]|0;f=c[m>>2]|0;e=c[m+4>>2]|0;if(!((f|0)>-1|(f|0)==-4))if(q|(f|0)!=-3)if((f|0)==-3)if(p&(l|0)!=0){c[h+(e<<2)>>2]=1;f=-3;k=o;l=0}else{f=-3;k=o}else k=o;else{e=-1;f=-1;i=-1;k=o}else{i=(c[g>>2]|0)+i|0;k=o+1|0}e=KM(b,f,e,i)|0;c[n>>2]=e;if(!e)e=12;else{e=c[e+4>>2]|0;c[e+12>>2]=c[m+12>>2];c[e+16>>2]=c[m+16>>2];e=0}if((i|0)>(c[j>>2]|0)){c[j>>2]=i;f=n}else f=n}else if((i|0)==19){i=c[e+4>>2]|0;f=i+4|0;e=bN(b,c[i>>2]|0,c[f>>2]|0)|0;c[n>>2]=e;if(!e){f=o;e=12;break a}m=c[e+4>>2]|0;e=RM(d,c[f>>2]|0)|0;if(e|0){f=o;break a}e=SM(d,0)|0;if(e|0){f=o;break a}e=RM(d,m+4|0)|0;if(e|0){f=o;break a}e=SM(d,1)|0;if(e|0){f=o;break a}e=RM(d,c[i>>2]|0)|0;if(e|0){f=o;break a}k=o;f=m;e=SM(d,0)|0}else if((i|0)==26){m=c[e+4>>2]|0;i=m+4|0;e=LM(b,c[m>>2]|0,c[i>>2]|0)|0;c[n>>2]=e;if(!e){f=o;e=12;break a}f=c[e+4>>2]|0;c[f>>2]=0;k=f+4|0;c[k>>2]=0;e=RM(d,c[i>>2]|0)|0;if(e|0){f=o;break a}e=SM(d,0)|0;if(e|0){f=o;break a}e=RM(d,k)|0;if(e|0){f=o;break a}e=SM(d,1)|0;if(e|0){f=o;break a}e=RM(d,c[m>>2]|0)|0;if(e|0){f=o;break a}k=o;e=SM(d,0)|0}if(!e){o=k;e=f}else{f=k;break}}}else f=0;while(0);c[g>>2]=(c[g>>2]|0)+f;return e|0}function aN(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0;h=DM(b,0,0,1,16)|0;b=_M(b,2,h)|0;if(!b)b=0;else{c[h>>2]=d;c[h+4>>2]=e;c[h+8>>2]=f;h=h+12|0;a[h>>0]=a[h>>0]&-2|g&1;c[b+16>>2]=c[d+16>>2]}return b|0}function bN(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;if(b){e=DM(a,0,0,1,8)|0;a=_M(a,3,e)|0;if((d|0)!=0&(a|0)!=0){c[e>>2]=b;c[e+4>>2]=d;c[a+16>>2]=(c[d+16>>2]|0)+(c[b+16>>2]|0);d=a}else d=0}return d|0}function cN(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=DM(a,0,0,0,8)|0;if(((e|0)!=0?(d=KM(a,-3,d,-1)|0,c[e>>2]=d,(d|0)!=0):0)?(f=DM(a,0,0,0,32)|0,c[e+4>>2]=f,(f|0)!=0):0){a=b+4|0;c[f+4>>2]=c[a>>2];c[f>>2]=c[b>>2];c[f+8>>2]=-1;c[f+12>>2]=-1;f=f+16|0;c[f>>2]=0;c[f+4>>2]=0;c[f+8>>2]=0;c[f+12>>2]=0;c[a>>2]=e;c[b>>2]=1;a=0}else a=12;return a|0}function dN(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;f=c[a>>2]|0;if((f|0)>-1){g=c[b+16>>2]|0;e=0;b=f;do{f=b>>>1;c[((b&1|0)==0?g+(f*12|0)|0:g+(f*12|0)+4|0)>>2]=d;e=e+1|0;b=c[a+(e<<2)>>2]|0}while((b|0)>-1)}c[a>>2]=-1;return}function eN(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=DM(a,0,0,0,8)|0;if(((e|0)!=0?(d=KM(a,-3,d,-1)|0,c[e+4>>2]=d,(d|0)!=0):0)?(f=DM(a,0,0,0,32)|0,c[e>>2]=f,(f|0)!=0):0){a=b+4|0;c[f+4>>2]=c[a>>2];c[f>>2]=c[b>>2];c[f+8>>2]=-1;c[f+12>>2]=-1;f=f+16|0;c[f>>2]=0;c[f+4>>2]=0;c[f+8>>2]=0;c[f+12>>2]=0;c[a>>2]=e;c[b>>2]=1;a=0}else a=12;return a|0}function fN(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;m=l;l=l+16|0;j=m;i=b+32|0;h=c[i>>2]|0;g=h&1;a:do switch(a[d>>0]|0){case 91:{e=jN(b,d+1|0)|0;break}case 92:{e=d+1|0;f=kN(e)|0;if(f|0){e=fN(b,f)|0;c[b+12>>2]=d+2;break a}f=a[e>>0]|0;switch(f|0){case 0:{e=5;break a}case 98:{f=KM(c[b>>2]|0,-2,64,-1)|0;break}case 66:{f=KM(c[b>>2]|0,-2,128,-1)|0;break}case 60:{f=KM(c[b>>2]|0,-2,16,-1)|0;break}case 62:{f=KM(c[b>>2]|0,-2,32,-1)|0;break}case 120:{h=d+2|0;i=(a[h>>0]|0)==123;g=i?8:2;h=i?d+3|0:h;e=0;f=0;do{d=lN(a[h+e>>0]|0)|0;if((d|0)<0)break;f=d+(f<<4)|0;e=e+1|0}while((f|0)<1114112&(e|0)<(g|0));e=h+e|0;if(i){if((a[e>>0]|0)!=125){e=9;break a}e=e+1|0}j=c[b>>2]|0;i=b+24|0;k=c[i>>2]|0;c[i>>2]=k+1;f=KM(j,f,f,k)|0;e=e+-1|0;break}case 63:case 43:case 123:if(!g){e=13;break a}else{k=37;break a}case 124:{if(g|0){k=37;break a}e=KM(c[b>>2]|0,-1,-1,-1)|0;k=45;break a}default:{if(!((g|0)==0&(f+-49|0)>>>0<9)){k=37;break a}j=f+-48|0;k=c[b>>2]|0;i=b+24|0;f=c[i>>2]|0;c[i>>2]=f+1;f=KM(k,-4,j,f)|0;k=b+28|0;i=c[k>>2]|0;c[k>>2]=(j|0)<(i|0)?i:j}}d=e+1|0;e=f;k=45;break}case 46:{e=c[b>>2]|0;g=b+24|0;f=c[g>>2]|0;c[g>>2]=f+1;if(h&4){f=KM(e,0,9,f)|0;k=c[b>>2]|0;e=c[g>>2]|0;c[g>>2]=e+1;e=KM(k,11,1114111,e)|0;if((f|0)!=0&(e|0)!=0)e=bN(c[b>>2]|0,f,e)|0;else e=0}else e=KM(e,0,1114111,f)|0;d=d+1|0;k=45;break}case 94:{if((g|0)==0?(c[b+16>>2]|0)!=(d|0):0){e=d;k=37;break a}d=d+1|0;e=KM(c[b>>2]|0,-2,1,-1)|0;k=45;break}case 36:{e=d+1|0;if((g|0)==0?a[e>>0]|0:0){e=d;k=37;break a}d=e;e=KM(c[b>>2]|0,-2,2,-1)|0;k=45;break}case 63:case 43:case 123:case 42:{if(!g){e=d;k=37}else e=13;break}case 124:{if(!g){e=d;k=37}else k=36;break}case 0:{k=36;break}default:{e=d;k=37}}while(0);if((k|0)==36){e=KM(c[b>>2]|0,-1,-1,-1)|0;k=45}else if((k|0)==37){h=UL(j,e,-1)|0;if((h|0)<0)e=2;else{do if(c[i>>2]&2){if((IK(c[j>>2]|0)|0)==0?(HK(c[j>>2]|0)|0)==0:0){k=43;break}i=c[b>>2]|0;n=lK(c[j>>2]|0)|0;g=lK(c[j>>2]|0)|0;f=b+24|0;g=KM(i,n,g,c[f>>2]|0)|0;n=c[b>>2]|0;i=KK(c[j>>2]|0)|0;d=KK(c[j>>2]|0)|0;d=KM(n,i,d,c[f>>2]|0)|0;if((g|0)!=0&(d|0)!=0)g=bN(c[b>>2]|0,g,d)|0;else g=0}else k=43;while(0);if((k|0)==43){g=c[j>>2]|0;f=b+24|0;g=KM(c[b>>2]|0,g,g,c[f>>2]|0)|0}c[f>>2]=(c[f>>2]|0)+1;d=e+h|0;e=g;k=45}}if((k|0)==45)if(!e)e=12;else{c[b+8>>2]=e;c[b+12>>2]=d;e=0}l=m;return e|0}function gN(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0;j=l;l=l+16|0;i=j+4|0;g=j;b=iN(b,i)|0;if((a[b>>0]|0)==44){b=iN(b+1|0,g)|0;h=c[g>>2]|0;g=c[i>>2]|0}else{i=c[i>>2]|0;c[g>>2]=i;h=i;g=i}do if(!(g>>>0>255|((h|0)>255|(h|0)>-1&(h|0)<(g|0)))){if(!d)if((a[b>>0]|0)==92)b=b+1|0;else{b=0;break}if((a[b>>0]|0)==125){c[e>>2]=g;c[f>>2]=h;b=b+1|0}else b=0}else b=0;while(0);l=j;return b|0}function hN(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;if((c[b+12>>2]|0)>-1){e=KM(c[a>>2]|0,-1,-1,-1)|0;if((e|0)!=0?(f=LM(c[a>>2]|0,e,b)|0,(f|0)!=0):0){e=c[b+16>>2]|0;c[f+16>>2]=e;g=6}else e=12}else{f=b;e=c[b+16>>2]|0;g=6}if((g|0)==6){c[f+12>>2]=d;c[f+16>>2]=e+1;c[a+8>>2]=f;e=0}return e|0}function iN(b,d){b=b|0;d=d|0;var e=0;c[d>>2]=-1;a:do if(_J(a[b>>0]|0)|0){c[d>>2]=0;e=0;do{c[d>>2]=(e*10|0)+-48+(a[b>>0]|0);b=b+1|0;if(!(_J(a[b>>0]|0)|0))break a;e=c[d>>2]|0}while((e|0)<=255)}while(0);return b|0}function jN(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;s=l;l=l+288|0;e=s+264|0;g=s;c[e>>2]=c[b>>2];h=e+8|0;c[h>>2]=0;c[e+12>>2]=32;p=ZI(128)|0;r=e+4|0;c[r>>2]=p;if(!p)d=12;else{f=g+4|0;c[f>>2]=0;p=(a[d>>0]|0)==94;c[g>>2]=p&1;d=mN(b,p?d+1|0:d,e,g)|0;a:do if(!d){p=(c[g>>2]|0)==0;if(!p){rL(c[r>>2]|0,c[h>>2]|0,4,41);d=oN(e)|0;if(!d){d=12;e=0;break}c[d>>2]=1114112;c[d+4>>2]=1114112;c[d+8>>2]=-1;d=c[f>>2]|0;if(d){e=d<<2;f=DM(c[b>>2]|0,0,0,0,e+4|0)|0;if(!f){d=12;e=0;break}TN(f|0,g+8|0,e|0)|0;c[f+(d<<2)>>2]=0}else f=0}else f=0;m=c[h>>2]|0;if((m|0)>0){n=c[r>>2]|0;o=b+24|0;e=0;d=0;k=0;while(1){j=c[n+(k<<2)>>2]|0;g=c[j>>2]|0;h=j+4|0;i=c[h>>2]|0;do if(!p)if((g|0)>(d|0)){c[j>>2]=d;c[h>>2]=g+-1;d=i+1|0;q=14;break}else{j=i+1|0;d=(j|0)>=(d|0)?j:d;break}else q=14;while(0);if((q|0)==14){q=0;c[j+8>>2]=c[o>>2];c[j+16>>2]=f;j=_M(c[b>>2]|0,0,j)|0;e=bN(c[b>>2]|0,e,j)|0;if(!e){d=12;e=0;break a}}k=k+1|0;if((k|0)>=(m|0)){d=0;break}}}else{d=0;e=0}}else e=0;while(0);_I(c[r>>2]|0);r=b+24|0;c[r>>2]=(c[r>>2]|0)+1;c[b+8>>2]=e}l=s;return d|0}function kN(b){b=b|0;var d=0;d=a[b>>0]|0;b=0;while(1){if((a[56576+(b<<3)>>0]|0)==d<<24>>24)break;b=b+1|0;if((b|0)==12){b=12;break}}return c[56576+(b<<3)+4>>2]|0}function lN(a){a=a|0;var b=0;b=a+-48|0;if(b>>>0<10)return b|0;else{b=a|32;return ((b+-97|0)>>>0<6?b+-87|0:-1)|0}return 0}function mN(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;t=l;l=l+32|0;o=t;q=t+4|0;i=UL(o,d,-1)|0;g=a[d>>0]|0;a:do if((i|0)>=1){r=f+4|0;n=b+32|0;h=d;j=i;b:while(1){i=(h|0)==(d|0);if(!(i|g<<24>>24!=93)){s=5;break}c:do if(!(i|g<<24>>24!=45)){switch(a[h+1>>0]|0){case 93:break c;case 45:break;default:{g=11;break a}}if((a[h+2>>0]|0)==93){g=11;break a}}while(0);d:do if(g<<24>>24==91){switch(a[h+1>>0]|0){case 61:case 46:{g=3;break a}case 58:break;default:{s=17;break d}}i=h+2|0;g=0;e:while(1){switch(a[i+g>>0]|0){case 0:{s=16;break b}case 58:break e;default:{}}if((g|0)<13)g=g+1|0;else{s=16;break b}}TN(q|0,i|0,g|0)|0;a[q+g>>0]=0;j=aL(q)|0;if(!j){s=16;break b}h=i+(g+2)|0;if((a[i+(g+1)>>0]|0)!=93){s=16;break b}if(!(c[f>>2]|0)){g=1114111;m=0;k=1;s=25}else{g=c[r>>2]|0;if((g|0)>63){g=12;break a}c[r>>2]=g+1;c[f+8+(g<<2)>>2]=j}}else s=17;while(0);if((s|0)==17){s=0;i=c[o>>2]|0;h=h+j|0;if((a[h>>0]|0)==45?(p=h+1|0,(a[p>>0]|0)!=93):0){h=UL(o,p,-1)|0;g=c[o>>2]|0;if((h|0)<1|(i|0)>(g|0)){g=11;break a}j=0;m=i;h=p+h|0;k=0;s=25}else{j=0;g=i;m=i;k=0;s=25}}if((s|0)==25){s=0;i=oN(e)|0;if(!i){g=12;break a}c[i>>2]=m;c[i+4>>2]=g;c[i+12>>2]=j;c[i+8>>2]=-1;if(!(k|(c[n>>2]&2|0)==0)?(pN(e,m,g)|0)!=0:0){g=12;break a}}j=UL(o,h,-1)|0;g=a[h>>0]|0;if((j|0)<1){s=3;break a}}if((s|0)==5){c[b+12>>2]=h+1;g=0;break}else if((s|0)==16){g=4;break}}else s=3;while(0);if((s|0)==3)g=g<<24>>24?2:7;l=t;return g|0}function nN(a,b){a=a|0;b=b|0;return (c[c[a>>2]>>2]|0)-(c[c[b>>2]>>2]|0)|0}function oN(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0;h=a+8|0;d=c[h>>2]|0;e=a+12|0;f=c[e>>2]|0;if((d|0)>=(f|0))if((f|0)<=32767?(c[e>>2]=f<<1,g=a+4|0,b=aJ(c[g>>2]|0,f<<3)|0,(b|0)!=0):0){c[g>>2]=b;d=c[h>>2]|0;i=6}else b=0;else{b=c[a+4>>2]|0;i=6}if((i|0)==6){c[h>>2]=d+1;i=DM(c[a>>2]|0,0,0,1,20)|0;c[b+(d<<2)>>2]=i;b=i}return b|0}function pN(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;a:do if((b|0)>(d|0))b=0;else while(1){b:do if(!(HK(b)|0)){if(!(IK(b)|0)){b=b+1|0;break}f=KK(b)|0;e=f;while(1){g=b+1|0;e=e+1|0;if((b|0)>=(d|0)){h=f;b=g;g=12;break b}if((KK(g)|0)==(e|0))b=g;else{h=f;b=g;g=12;break}}}else{f=lK(b)|0;e=f;while(1){g=b+1|0;e=e+1|0;if((b|0)>=(d|0)){h=f;b=g;g=12;break b}if((lK(g)|0)==(e|0))b=g;else{h=f;b=g;g=12;break}}}while(0);if((g|0)==12){g=0;f=oN(a)|0;if(!f){b=-1;break a}c[f>>2]=h;c[f+4>>2]=e+-1;c[f+8>>2]=-1}if((b|0)>(d|0)){b=0;break}}while(0);return b|0}function qN(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+16|0;k=n;i=c[a+4>>2]|0;j=i+56|0;h=(c[j>>2]&8|0)==0?d:0;a=c[i+40>>2]|0;if((a|0)>0&(h|0)!=0){a=ZI(a<<2)|0;if(!a)a=12;else{g=a;d=a;m=3}}else{g=0;d=0;m=3}if((m|0)==3){if(!(c[i+60>>2]|0))a=sN(i,b,g,f,k)|0;else a=rN(i,b,g,f,k)|0;if(!a)tN(h,e,c[j>>2]|0,i,g,c[k>>2]|0);if(g)_I(d)}l=n;return a|0}function rN(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0,T=0,U=0,V=0;V=l;l=l+16|0;T=V;c[T>>2]=0;o=e&1;R=e&2;S=a+56|0;n=c[S>>2]&4;U=BM(0,0)|0;a:do if(U){p=DM(U,0,0,0,32)|0;if(!p){CM(U);e=12;break}c[p+24>>2]=0;c[p+28>>2]=0;Q=a+40|0;e=c[Q>>2]|0;if(e){e=ZI(e<<2)|0;if(!e){m=0;k=0;j=e;e=12;i=0;h=0;g=0}else{j=e;i=e;C=6}}else{j=0;i=0;C=6}b:do if((C|0)==6){e=c[a+28>>2]|0;if(e){e=ZI(e<<3)|0;if(!e){m=e;k=0;e=12;h=0;g=0;break}else{m=e;h=e}}else{m=0;h=0}P=a+52|0;e=c[P>>2]|0;if(e){e=ZI(e<<2)|0;if(!e){k=e;e=12;g=0;break}else{k=e;g=e}}else{k=0;g=0}K=a+8|0;L=a+12|0;M=(d|0)==0;N=(d|0)!=0;O=a+32|0;J=(n|0)!=0;I=(o|0)==0;r=b;e=1;q=-1;v=-1;B=0;c:while(1){n=c[Q>>2]|0;if((n|0)>0){o=0;do{c[j+(o<<2)>>2]=-1;if(!M){c[d+(o<<2)>>2]=-1;n=c[Q>>2]|0}o=o+1|0}while((o|0)<(n|0))}n=c[P>>2]|0;if((n|0)>0)VN(g|0,0,n<<2|0)|0;G=e+q|0;e=UL(T,r,4)|0;if((e|0)<1)if((e|0)<0){e=1;break b}else e=1;F=r+e|0;H=c[T>>2]|0;n=c[K>>2]|0;o=n+8|0;if(c[o>>2]|0){w=(G|0)!=0;x=(B|0)==95;y=(G|0)==0;A=J&(B|0)==10;z=(G|0)<1&I;u=n;n=0;t=0;s=o;while(1){r=u+20|0;o=c[r>>2]|0;d:do if(o)if((o&1|0)==0|z|A){if(o&2|0?(E=c[T>>2]|0,!((E|R|0)==0|J&(E|0)==10)):0){q=t;break}do if(o&16|0){if(x){q=t;break d}if(DK(B)|0){q=t;break d}o=c[T>>2]|0;if((o|0)==95)break;if(!(DK(o)|0)){q=t;break d}}while(0);o=c[r>>2]|0;if(o&32){if(x){o=c[T>>2]|0;if((o|0)==95){q=t;break}}else{E=(DK(B)|0)==0;o=c[T>>2]|0;if(E|(o|0)==95){q=t;break}}if(DK(o)|0){q=t;break}o=c[r>>2]|0}q=c[T>>2]|0;do if((q|0)!=0&(w&(o&64|0)!=0)){if(x)o=1;else{o=(DK(B)|0)!=0;q=c[T>>2]|0}if((q|0)==95)if(o){q=t;break d}else break;else if(o^(DK(q)|0)!=0)break;else{q=t;break d}}while(0);if(!(c[r>>2]&128)){C=49;break}o=c[T>>2]|0;if(y|(o|0)==0){q=t;break}if(x)q=1;else{q=(DK(B)|0)!=0;o=c[T>>2]|0}if((o|0)==95)if(q){C=49;break}else{q=t;break}else if(q^(DK(o)|0)!=0){q=t;break}else{C=49;break}}else q=t;else C=49;while(0);do if((C|0)==49){C=0;if(!t){n=c[u+16>>2]|0;q=c[s>>2]|0;break}q=p+28|0;o=c[q>>2]|0;if(!o){o=DM(U,0,0,0,32)|0;if(!o){C=53;break c}c[o+24>>2]=p;c[o+28>>2]=0;E=DM(U,0,0,0,c[Q>>2]<<2)|0;c[o+20>>2]=E;if(!E){C=60;break c}c[q>>2]=o;p=o}else p=o;c[p>>2]=G;c[p+4>>2]=F;c[p+8>>2]=c[s>>2];c[p+12>>2]=c[u+12>>2];c[p+16>>2]=c[T>>2];if((c[Q>>2]|0)>0){q=c[p+20>>2]|0;o=0;do{c[q+(o<<2)>>2]=c[j+(o<<2)>>2];o=o+1|0}while((o|0)<(c[Q>>2]|0))}o=c[u+16>>2]|0;if(!o)q=t;else{q=c[o>>2]|0;if((q|0)<=-1){q=t;break}r=c[p+20>>2]|0;do{o=o+4|0;c[r+(q<<2)>>2]=G;q=c[o>>2]|0}while((q|0)>-1);q=t}}while(0);s=u+40|0;if(!(c[s>>2]|0))break;else{u=u+32|0;t=q}}if(n){o=c[n>>2]|0;if((o|0)>-1)do{c[j+(o<<2)>>2]=G;n=n+4|0;o=c[n>>2]|0}while((o|0)>-1)}else n=0;if(!q)C=171;else{s=G;r=F;w=q;x=n;C=79}}else{n=0;C=171}e:while(1){if((C|0)==79){if((w|0)==(c[L>>2]|0)){if((v|0)>=(s|0)){if(!(N&(v|0)==(s|0))){n=x;C=171;continue}n=c[Q>>2]|0;if(!(vN(n,c[O>>2]|0,j,d)|0)){n=x;C=171;continue}}else{if(M){v=s;n=x;C=171;continue}n=c[Q>>2]|0}if((n|0)>0)n=0;else{v=s;n=x;C=171;continue}while(1){c[d+(n<<2)>>2]=c[j+(n<<2)>>2];n=n+1|0;if((n|0)>=(c[Q>>2]|0)){v=s;n=x;C=171;continue e}}}u=w+8|0;if((c[u>>2]|0)!=0?(c[w+20>>2]&256|0)!=0:0){o=c[w+24>>2]|0;tN(o+1|0,m,c[S>>2]&-9,a,j,s);E=c[m+(o<<3)>>2]|0;o=(c[m+(o<<3)+4>>2]|0)-E|0;if(VJ(b+E|0,r+-1|0,o)|0){n=x;C=171;continue}E=(o|0)==0;n=E&1;q=c[w+12>>2]|0;if(E?c[k+(q<<2)>>2]|0:0){n=x;C=171;continue}c[k+(q<<2)>>2]=n;o=o+-1|0;r=r+o|0;o=o+s|0;q=c[T>>2]|0;n=UL(T,r,4)|0;if((n|0)<1)if((n|0)<0){e=1;break b}else n=1;D=r+n|0;E=n}else{q=c[T>>2]|0;if(!q){n=x;C=171;continue}n=UL(T,r,4)|0;if((n|0)<1)if((n|0)<0){e=1;break b}else n=1;o=s;D=r+n|0;E=n}s=o+e|0;if(!(c[u>>2]|0)){e=E;n=x;C=171;continue}y=(s|0)!=0;z=(q|0)==95;A=(s|0)==0;C=J&(q|0)==10;B=(s|0)<1&I;t=0;n=x;while(1){f:do if((c[w>>2]|0)>>>0<=q>>>0){if((c[w+4>>2]|0)>>>0<q>>>0)break;r=w+20|0;e=c[r>>2]|0;do if(e|0){if(!((e&1|0)==0|B|C))break f;if(e&2|0?(x=c[T>>2]|0,!((x|R|0)==0|J&(x|0)==10)):0)break f;do if(e&16|0){if(z)break f;if(DK(q)|0)break f;e=c[T>>2]|0;if((e|0)==95)break;if(!(DK(e)|0))break f}while(0);e=c[r>>2]|0;if(e&32){if(z){e=c[T>>2]|0;if((e|0)==95)break f}else{x=(DK(q)|0)==0;e=c[T>>2]|0;if(x|(e|0)==95)break f}if(DK(e)|0)break f;e=c[r>>2]|0}o=c[T>>2]|0;do if((o|0)!=0&(y&(e&64|0)!=0)){if(z)e=1;else{e=(DK(q)|0)!=0;o=c[T>>2]|0}if((o|0)==95)if(e)break f;else break;else if(e^(DK(o)|0)!=0)break;else break f}while(0);do if(c[r>>2]&128|0){e=c[T>>2]|0;if(A|(e|0)==0)break f;if(z)o=1;else{o=(DK(q)|0)!=0;e=c[T>>2]|0}if((e|0)==95)if(o)break;else break f;else if(o^(DK(e)|0)!=0)break f;else break}while(0);e=c[r>>2]|0;do if(e&4){if(c[S>>2]&2|0)break;if(!(CK(q,c[w+24>>2]|0)|0))break f;e=c[r>>2]|0}while(0);do if(e&4|0){if(!(c[S>>2]&2))break;x=KK(q)|0;e=w+24|0;if(CK(x,c[e>>2]|0)|0)break;x=lK(q)|0;if(!(CK(x,c[e>>2]|0)|0))break f}while(0);if(!(c[r>>2]&8))break;if(uN(c[w+28>>2]|0,q,c[S>>2]&2)|0)break f}while(0);if(!t){t=c[u>>2]|0;n=c[w+16>>2]|0;break}o=p+28|0;e=c[o>>2]|0;if(!e){e=DM(U,0,0,0,32)|0;if(!e){C=145;break c}c[e+24>>2]=p;c[e+28>>2]=0;x=DM(U,0,0,0,c[Q>>2]<<2)|0;c[e+20>>2]=x;if(!x){C=152;break c}c[o>>2]=e;p=e}else p=e;c[p>>2]=s;c[p+4>>2]=D;c[p+8>>2]=c[u>>2];c[p+12>>2]=c[w+12>>2];c[p+16>>2]=c[T>>2];if((c[Q>>2]|0)>0){o=c[p+20>>2]|0;e=0;do{c[o+(e<<2)>>2]=c[j+(e<<2)>>2];e=e+1|0}while((e|0)<(c[Q>>2]|0))}e=c[w+16>>2]|0;if(!e)break;o=c[e>>2]|0;if((o|0)<=-1)break;r=c[p+20>>2]|0;do{c[r+(o<<2)>>2]=s;e=e+4|0;o=c[e>>2]|0}while((o|0)>-1)}while(0);u=w+40|0;if(!(c[u>>2]|0))break;else w=w+32|0}if(!t){e=E;C=171;continue}if(n){e=c[n>>2]|0;if((e|0)>-1){do{n=n+4|0;c[j+(e<<2)>>2]=s;e=c[n>>2]|0}while((e|0)>-1);q=v;o=D;e=E}else{q=v;o=D;e=E}}else{q=v;o=D;e=E;n=0}}else if((C|0)==171){C=0;r=c[p+24>>2]|0;if(!r)break;t=c[p+8>>2]|0;if(c[t+20>>2]&256|0)c[k+(c[p+12>>2]<<2)>>2]=0;s=c[p>>2]|0;u=c[p+4>>2]|0;c[T>>2]=c[p+16>>2];q=c[Q>>2]|0;if((q|0)>0){p=c[p+20>>2]|0;o=0;do{c[j+(o<<2)>>2]=c[p+(o<<2)>>2];o=o+1|0}while((o|0)<(q|0));p=r;q=v;o=u}else{p=r;q=v;o=u}}r=o;v=q;w=t;x=n;C=79}n=(v|0)>-1;if(n|(c[T>>2]|0)==0){C=180;break}c[T>>2]=H;r=F;q=G;B=H}if((C|0)==53){CM(U);if(j|0)_I(i);if(m|0)_I(h);if(!k){e=12;break a}_I(g);e=12;break a}else if((C|0)==60){CM(U);if(j|0)_I(i);if(m|0)_I(h);if(!k){e=12;break a}_I(g);e=12;break a}else if((C|0)==145){CM(U);if(j|0)_I(i);if(m|0)_I(h);if(!k){e=12;break a}_I(g);e=12;break a}else if((C|0)==152){CM(U);if(j|0)_I(i);if(m|0)_I(h);if(!k){e=12;break a}_I(g);e=12;break a}else if((C|0)==180){c[f>>2]=v;e=(n^1)&1;break}}while(0);CM(U);if(j|0)_I(i);if(m|0)_I(h);if(k)_I(g)}else e=12;while(0);l=V;return e|0}
function sN(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,P=0,Q=0,R=0,S=0,T=0,U=0,V=0,W=0;W=l;l=l+16|0;T=W;c[T>>2]=0;k=e&1;Q=e&2;R=a+56|0;j=c[R>>2]&4;if(!d)N=0;else N=c[a+40>>2]|0;P=N<<2;i=a+52|0;e=c[i>>2]|0;h=e<<3;g=h+8|0;e=P+12+h+(g+(O(P,e)|0)<<1)|0;U=ZI(e)|0;if(!U)e=12;else{VN(U|0,0,e|0)|0;e=U+P|0;m=e&3;m=e+((m|0)==0?0:4-m|0)|0;e=m+g|0;n=e&3;n=e+((n|0)==0?0:4-n|0)|0;e=n+g|0;M=e&3;M=e+((M|0)==0?0:4-M|0)|0;e=M+h|0;g=e&3;i=c[i>>2]|0;h=(i|0)>0;if(h){e=e+((g|0)==0?0:4-g|0)|0;g=0;while(1){c[n+(g<<3)+4>>2]=e;e=e+P|0;c[m+(g<<3)+4>>2]=e;g=g+1|0;if((g|0)>=(i|0))break;else e=e+P|0}if(h){e=0;do{c[M+(e<<3)>>2]=-1;e=e+1|0}while((e|0)<(i|0))}}e=UL(T,b,4)|0;if((e|0)<1)if((e|0)<0)e=1;else{i=1;V=11}else{i=e;V=11}a:do if((V|0)==11){L=a+8|0;K=(j|0)!=0;E=(k|0)==0;F=(N|0)>0;G=a+12|0;H=(N|0)<1;I=a+44|0;J=a+32|0;C=a+36|0;D=(N|0)==0;h=0;v=b+i|0;u=0;j=0;e=-1;g=m;A=U;x=m;w=n;while(1){if((e|0)<0){a=c[L>>2]|0;k=a+8|0;b:do if(c[k>>2]|0){p=(u|0)!=0;q=(h|0)==95;r=(u|0)==0;t=K&(h|0)==10;s=(u|0)<1&E;while(1){c:while(1){o=a+12|0;if((c[M+(c[o>>2]<<3)>>2]|0)>=(u|0))break;n=a+20|0;b=c[n>>2]|0;if(!b){V=46;break}d:do if((b&1|0)==0|s|t){if(b&2|0?(B=c[T>>2]|0,!((B|Q|0)==0|K&(B|0)==10)):0)break;do if(b&16|0){if(q)break d;if(DK(h)|0)break d;b=c[T>>2]|0;if((b|0)==95)break;if(!(DK(b)|0))break d}while(0);b=c[n>>2]|0;if(b&32){if(q){b=c[T>>2]|0;if((b|0)==95)break}else{B=(DK(h)|0)==0;b=c[T>>2]|0;if(B|(b|0)==95)break}if(DK(b)|0)break;b=c[n>>2]|0}m=c[T>>2]|0;do if((m|0)!=0&(p&(b&64|0)!=0)){if(q)b=1;else{b=(DK(h)|0)!=0;m=c[T>>2]|0}if((m|0)==95)if(b)break d;else break;else if(b^(DK(m)|0)!=0)break;else break d}while(0);if(!(c[n>>2]&128)){V=46;break c}b=c[T>>2]|0;if(r|(b|0)==0)break;if(q)m=1;else{m=(DK(h)|0)!=0;b=c[T>>2]|0}if((b|0)==95)if(m){V=46;break c}else break;else if(m^(DK(b)|0)!=0)break;else{V=46;break c}}while(0);k=a+40|0;if(!(c[k>>2]|0))break b;else a=a+32|0}if((V|0)==46){V=0;c[g>>2]=c[k>>2];if(F)VN(c[g+4>>2]|0,-1,P|0)|0;k=c[a+16>>2]|0;if(k|0?(S=c[k>>2]|0,(S|0)>-1):0){m=g+4|0;b=S;do{if((b|0)<(N|0))c[(c[m>>2]|0)+(b<<2)>>2]=u;k=k+4|0;b=c[k>>2]|0}while((b|0)>-1)}k=(c[g>>2]|0)!=(c[G>>2]|0);if(k|H){j=k?j:1;e=k?e:u;k=g+4|0}else{k=g+4|0;j=c[k>>2]|0;e=0;do{c[d+(e<<2)>>2]=c[j+(e<<2)>>2];e=e+1|0}while((e|0)!=(N|0));j=1;e=u}B=c[o>>2]|0;c[M+(B<<3)>>2]=u;c[M+(B<<3)+4>>2]=k;g=g+8|0}k=a+40|0;if(!(c[k>>2]|0))break;else a=a+32|0}}while(0);c[g>>2]=0;g=c[T>>2]|0;if(!g)break;else h=g}else{if(D)break;h=c[T>>2]|0;if(!((g|0)!=(x|0)&(h|0)!=0))break}B=u+i|0;g=UL(T,v,4)|0;if((g|0)<1)if((g|0)<0){e=1;break a}else i=1;else i=g;z=v+i|0;if((j|0)!=0&(c[I>>2]|0)!=0){if(!(c[x>>2]|0))g=w;else{o=c[C>>2]|0;p=c[o>>2]|0;q=(p|0)>-1;n=x;g=w;do{m=n+4|0;e:do if(q){k=0;b=p;do{a=c[o+((k|1)<<2)>>2]|0;if((b|0)>=(N|0))break e;j=c[m>>2]|0;if((c[j+(a<<2)>>2]|0)==(c[d+(a<<2)>>2]|0)?(c[j+(b<<2)>>2]|0)<(c[d+(b<<2)>>2]|0):0)break e;k=k+2|0;b=c[o+(k<<2)>>2]|0}while((b|0)>-1);k=m;V=75}else{k=m;j=c[m>>2]|0;V=75}while(0);if((V|0)==75){V=0;c[g>>2]=c[n>>2];v=g+4|0;y=c[v>>2]|0;c[v>>2]=j;c[k>>2]=y;g=g+8|0}n=n+8|0}while((c[n>>2]|0)!=0)}c[g>>2]=0;y=x;j=0}else{y=w;w=x}k=c[w>>2]|0;if(!k){k=A;g=y}else{r=(B|0)!=0;s=(h|0)==95;t=(B|0)==0;v=K&(h|0)==10;u=(B|0)<1&E;q=w;a=A;g=y;while(1){b=k+8|0;if(c[b>>2]|0){p=q+4|0;o=a;n=b;while(1){f:do if((c[k>>2]|0)>>>0<=h>>>0?(c[k+4>>2]|0)>>>0>=h>>>0:0){m=k+20|0;a=c[m>>2]|0;do if(a|0){if(!((a&1|0)==0|u|v)){a=o;break f}if(a&2|0?(A=c[T>>2]|0,!((A|Q|0)==0|K&(A|0)==10)):0){a=o;break f}do if(a&16|0){if(s){a=o;break f}if(DK(h)|0){a=o;break f}a=c[T>>2]|0;if((a|0)==95)break;if(!(DK(a)|0)){a=o;break f}}while(0);a=c[m>>2]|0;if(a&32){if(s){a=c[T>>2]|0;if((a|0)==95){a=o;break f}}else{A=(DK(h)|0)==0;a=c[T>>2]|0;if(A|(a|0)==95){a=o;break f}}if(DK(a)|0){a=o;break f}a=c[m>>2]|0}b=c[T>>2]|0;do if((b|0)!=0&(r&(a&64|0)!=0)){if(s)a=1;else{a=(DK(h)|0)!=0;b=c[T>>2]|0}if((b|0)==95)if(a){a=o;break f}else break;else if(a^(DK(b)|0)!=0)break;else{a=o;break f}}while(0);do if(c[m>>2]&128|0){a=c[T>>2]|0;if(t|(a|0)==0){a=o;break f}if(s)b=1;else{b=(DK(h)|0)!=0;a=c[T>>2]|0}if((a|0)==95)if(b)break;else{a=o;break f}else if(b^(DK(a)|0)!=0){a=o;break f}else break}while(0);a=c[m>>2]|0;do if(a&4){if(c[R>>2]&2|0)break;if(!(CK(h,c[k+24>>2]|0)|0)){a=o;break f}a=c[m>>2]|0}while(0);do if(a&4|0){if(!(c[R>>2]&2))break;A=KK(h)|0;a=k+24|0;if(CK(A,c[a>>2]|0)|0)break;A=lK(h)|0;if(!(CK(A,c[a>>2]|0)|0)){a=o;break f}}while(0);if(!(c[m>>2]&8))break;if(uN(c[k+28>>2]|0,h,c[R>>2]&2)|0){a=o;break f}}while(0);if(F){b=c[p>>2]|0;a=0;do{c[o+(a<<2)>>2]=c[b+(a<<2)>>2];a=a+1|0}while((a|0)!=(N|0))}a=c[k+16>>2]|0;do if(a|0){b=c[a>>2]|0;if((b|0)<=-1)break;do{if((b|0)<(N|0))c[o+(b<<2)>>2]=B;a=a+4|0;b=c[a>>2]|0}while((b|0)>-1)}while(0);a=c[k+12>>2]|0;b=M+(a<<3)|0;if((c[b>>2]|0)>=(B|0)){a=c[M+(a<<3)+4>>2]|0;b=c[a>>2]|0;if(!(vN(N,c[J>>2]|0,o,b)|0)){a=o;break}c[a>>2]=o;if((c[n>>2]|0)!=(c[G>>2]|0)){a=b;break}if(F)e=0;else{j=1;a=b;e=B;break}while(1){c[d+(e<<2)>>2]=c[o+(e<<2)>>2];e=e+1|0;if((e|0)==(N|0)){j=1;a=b;e=B;break f}}}A=c[n>>2]|0;c[g>>2]=A;x=g+4|0;m=c[x>>2]|0;c[x>>2]=o;c[b>>2]=B;c[M+(a<<3)+4>>2]=x;do if((c[G>>2]|0)==(A|0)){if((e|0)==-1)if(F)e=0;else{e=B;j=1;break}else{if(!F)break;if((c[o>>2]|0)>(c[d>>2]|0))break;else e=0}do{c[d+(e<<2)>>2]=c[o+(e<<2)>>2];e=e+1|0}while((e|0)<(N|0));e=B;j=1}while(0);a=m;g=g+8|0}else a=o;while(0);n=k+40|0;if(!(c[n>>2]|0))break;else{k=k+32|0;o=a}}}q=q+8|0;k=c[q>>2]|0;if(!k){k=a;break}}}c[g>>2]=0;v=z;u=B;A=k;x=y}c[f>>2]=e;e=e>>>31}while(0);_I(U)}l=W;return e|0}function tN(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;if((d&8|0)==0&(g|0)>-1?(m=c[e+16>>2]|0,n=c[e+28>>2]|0,l=(a|0)!=0&(n|0)!=0,l):0){k=c[e+48>>2]|0;j=0;do{d=c[m+(j*12|0)>>2]|0;if((d|0)==(k|0))i=g;else i=c[f+(d<<2)>>2]|0;h=b+(j<<3)|0;c[h>>2]=i;d=c[m+(j*12|0)+4>>2]|0;if((d|0)==(k|0))d=g;else d=c[f+(d<<2)>>2]|0;e=b+(j<<3)+4|0;c[e>>2]=d;if((d|0)==-1|(i|0)==-1){c[e>>2]=-1;c[h>>2]=-1}j=j+1|0}while(j>>>0<a>>>0&j>>>0<n>>>0);if(l){d=0;do{i=b+(d<<3)+4|0;j=c[m+(d*12|0)+8>>2]|0;if(j|0?(o=c[j>>2]|0,(o|0)>-1):0){k=b+(d<<3)|0;h=0;f=o;e=c[k>>2]|0;do{if(!((e|0)>=(c[b+(f<<3)>>2]|0)?(c[i>>2]|0)<=(c[b+(f<<3)+4>>2]|0):0)){c[i>>2]=-1;c[k>>2]=-1;e=-1}h=h+1|0;f=c[j+(h<<2)>>2]|0}while((f|0)>-1)}d=d+1|0}while(d>>>0<a>>>0&d>>>0<n>>>0)}else d=0}else d=0;if(d>>>0<a>>>0)VN(b+(d<<3)|0,-1,a-d<<3|0)|0;return}function uN(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=c[a>>2]|0;a:do if(!e)d=0;else{f=(d|0)==0;d=e;while(1){if(f){if(CK(b,d)|0){d=1;break a}}else{e=lK(b)|0;if(CK(e,c[a>>2]|0)|0){d=1;break a}e=KK(b)|0;if(CK(e,c[a>>2]|0)|0){d=1;break a}}a=a+4|0;d=c[a>>2]|0;if(!d){d=0;break}}}while(0);return d|0}function vN(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;a:do if((a|0)>0){f=0;while(1){h=c[d+(f<<2)>>2]|0;g=c[e+(f<<2)>>2]|0;if(!(c[b+(f<<2)>>2]|0)){if((h|0)<(g|0)){f=1;break a}if((h|0)>(g|0)){f=0;break a}}else{if((h|0)>(g|0)){f=1;break a}if((h|0)<(g|0)){f=0;break a}}f=f+1|0;if((f|0)>=(a|0)){f=0;break}}}else f=0;while(0);return f|0}function wN(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0;k=O(e,d)|0;e=(d|0)==0?0:e;if((c[f+76>>2]|0)>-1)j=OK(f)|0;else j=0;g=f+74|0;h=a[g>>0]|0;a[g>>0]=h+255|h;g=f+4|0;h=c[g>>2]|0;i=(c[f+8>>2]|0)-h|0;if((i|0)>0){i=i>>>0<k>>>0?i:k;TN(b|0,h|0,i|0)|0;c[g>>2]=(c[g>>2]|0)+i;g=k-i|0;b=b+i|0}else g=k;a:do if(!g)l=13;else{i=f+32|0;while(1){if(eK(f)|0)break;h=bb[c[i>>2]&31](f,b,g)|0;if((h+1|0)>>>0<2)break;g=g-h|0;if(!g){l=13;break a}else b=b+h|0}if(j|0)PK(f);e=((k-g|0)>>>0)/(d>>>0)|0}while(0);if((l|0)==13)if(j)PK(f);return e|0}function xN(a){a=a|0;var b=0;if((c[a+76>>2]|0)>-1){b=(OK(a)|0)==0;a=yN(a)|0}else a=yN(a)|0;return a|0}function yN(a){a=a|0;var b=0;if(!(c[a>>2]&128))b=1;else b=(c[a+20>>2]|0)>>>0>(c[a+28>>2]|0)>>>0?2:1;b=bb[c[a+40>>2]&31](a,0,b)|0;if((b|0)>=0)b=b-(c[a+8>>2]|0)+(c[a+4>>2]|0)+(c[a+20>>2]|0)-(c[a+28>>2]|0)|0;return b|0}function zN(a){a=a|0;(c[a+76>>2]|0)>-1?OK(a)|0:0;return c[a+60>>2]|0}function AN(){var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+48|0;i=k+24|0;h=k+16|0;g=k;d=k+28|0;b=d;e=134988;f=b+20|0;do{a[b>>0]=a[e>>0]|0;b=b+1|0;e=e+1|0}while((b|0)<(f|0));e=d+13|0;b=0;while(1){AL(e)|0;c[g>>2]=d;c[g+4>>2]=32962;c[g+8>>2]=384;f=iJ(Ba(5,g|0)|0)|0;if((f|0)>-1){j=4;break}if((b|0)<99)b=b+1|0;else{b=0;break}}if((j|0)==4){c[h>>2]=d;sa(10,h|0)|0;b=SL(f,135008)|0;if(!b){c[i>>2]=f;Da(6,i|0)|0;b=0}}l=k;return b|0}function BN(a){a=a|0;var b=0,e=0,f=0;if((c[a+76>>2]|0)>=0?(OK(a)|0)!=0:0){b=a+4|0;e=c[b>>2]|0;if(e>>>0<(c[a+8>>2]|0)>>>0){c[b>>2]=e+1;b=d[e>>0]|0}else b=dK(a)|0}else f=3;do if((f|0)==3){b=a+4|0;e=c[b>>2]|0;if(e>>>0<(c[a+8>>2]|0)>>>0){c[b>>2]=e+1;b=d[e>>0]|0;break}else{b=dK(a)|0;break}}while(0);return b|0}function CN(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;if((c[d+76>>2]|0)>=0?(OK(d)|0)!=0:0){f=b&255;e=b&255;if((e|0)!=(a[d+75>>0]|0)?(i=d+20|0,j=c[i>>2]|0,j>>>0<(c[d+16>>2]|0)>>>0):0){c[i>>2]=j+1;a[j>>0]=f}else e=YL(d,b)|0;PK(d)}else k=3;do if((k|0)==3){f=b&255;e=b&255;if((e|0)!=(a[d+75>>0]|0)?(g=d+20|0,h=c[g>>2]|0,h>>>0<(c[d+16>>2]|0)>>>0):0){c[g>>2]=h+1;a[h>>0]=f;break}e=YL(d,b)|0}while(0);return e|0}function DN(a){a=a|0;return xN(a)|0}function EN(){}function FN(a,b){a=a|0;b=b|0;var c=0,d=0,e=0,f=0;f=a&65535;e=b&65535;c=O(e,f)|0;d=a>>>16;a=(c>>>16)+(O(e,d)|0)|0;e=b>>>16;b=O(e,f)|0;return (z=(a>>>16)+(O(e,d)|0)+(((a&65535)+b|0)>>>16)|0,a+b<<16|c&65535|0)|0}function GN(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0,f=0;e=a;f=c;c=FN(e,f)|0;a=z;return (z=(O(b,f)|0)+(O(d,e)|0)+a|a&0,c|0|0)|0}function HN(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;c=a+c>>>0;return (z=b+d+(c>>>0<a>>>0|0)>>>0,c|0)|0}function IN(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;d=b-d-(c>>>0>a>>>0|0)>>>0;return (z=d,a-c>>>0|0)|0}function JN(b){b=b|0;var c=0;c=a[n+(b&255)>>0]|0;if((c|0)<8)return c|0;c=a[n+(b>>8&255)>>0]|0;if((c|0)<8)return c+8|0;c=a[n+(b>>16&255)>>0]|0;if((c|0)<8)return c+16|0;return (a[n+(b>>>24)>>0]|0)+24|0}function KN(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0;l=a;j=b;k=j;h=d;n=e;i=n;if(!k){g=(f|0)!=0;if(!i){if(g){c[f>>2]=(l>>>0)%(h>>>0);c[f+4>>2]=0}n=0;f=(l>>>0)/(h>>>0)>>>0;return (z=n,f)|0}else{if(!g){n=0;f=0;return (z=n,f)|0}c[f>>2]=a|0;c[f+4>>2]=b&0;n=0;f=0;return (z=n,f)|0}}g=(i|0)==0;do if(h){if(!g){g=(R(i|0)|0)-(R(k|0)|0)|0;if(g>>>0<=31){m=g+1|0;i=31-g|0;b=g-31>>31;h=m;a=l>>>(m>>>0)&b|k<<i;b=k>>>(m>>>0)&b;g=0;i=l<<i;break}if(!f){n=0;f=0;return (z=n,f)|0}c[f>>2]=a|0;c[f+4>>2]=j|b&0;n=0;f=0;return (z=n,f)|0}g=h-1|0;if(g&h|0){i=(R(h|0)|0)+33-(R(k|0)|0)|0;p=64-i|0;m=32-i|0;j=m>>31;o=i-32|0;b=o>>31;h=i;a=m-1>>31&k>>>(o>>>0)|(k<<m|l>>>(i>>>0))&b;b=b&k>>>(i>>>0);g=l<<p&j;i=(k<<p|l>>>(o>>>0))&j|l<<m&i-33>>31;break}if(f|0){c[f>>2]=g&l;c[f+4>>2]=0}if((h|0)==1){o=j|b&0;p=a|0|0;return (z=o,p)|0}else{p=JN(h|0)|0;o=k>>>(p>>>0)|0;p=k<<32-p|l>>>(p>>>0)|0;return (z=o,p)|0}}else{if(g){if(f|0){c[f>>2]=(k>>>0)%(h>>>0);c[f+4>>2]=0}o=0;p=(k>>>0)/(h>>>0)>>>0;return (z=o,p)|0}if(!l){if(f|0){c[f>>2]=0;c[f+4>>2]=(k>>>0)%(i>>>0)}o=0;p=(k>>>0)/(i>>>0)>>>0;return (z=o,p)|0}g=i-1|0;if(!(g&i)){if(f|0){c[f>>2]=a|0;c[f+4>>2]=g&k|b&0}o=0;p=k>>>((JN(i|0)|0)>>>0);return (z=o,p)|0}g=(R(i|0)|0)-(R(k|0)|0)|0;if(g>>>0<=30){b=g+1|0;i=31-g|0;h=b;a=k<<i|l>>>(b>>>0);b=k>>>(b>>>0);g=0;i=l<<i;break}if(!f){o=0;p=0;return (z=o,p)|0}c[f>>2]=a|0;c[f+4>>2]=j|b&0;o=0;p=0;return (z=o,p)|0}while(0);if(!h){k=i;j=0;i=0}else{m=d|0|0;l=n|e&0;k=HN(m|0,l|0,-1,-1)|0;d=z;j=i;i=0;do{e=j;j=g>>>31|j<<1;g=i|g<<1;e=a<<1|e>>>31|0;n=a>>>31|b<<1|0;IN(k|0,d|0,e|0,n|0)|0;p=z;o=p>>31|((p|0)<0?-1:0)<<1;i=o&1;a=IN(e|0,n|0,o&m|0,(((p|0)<0?-1:0)>>31|((p|0)<0?-1:0)<<1)&l|0)|0;b=z;h=h-1|0}while((h|0)!=0);k=j;j=0}h=0;if(f|0){c[f>>2]=a;c[f+4>>2]=b}o=(g|0)>>>31|(k|h)<<1|(h<<1|g>>>31)&0|j;p=(g<<1|0>>>31)&-2|i;return (z=o,p)|0}function LN(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;return KN(a,b,c,d,0)|0}function MN(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;g=l;l=l+16|0;f=g|0;KN(a,b,d,e,f)|0;l=g;return (z=c[f+4>>2]|0,c[f>>2]|0)|0}function NN(a,b,c){a=a|0;b=b|0;c=c|0;if((c|0)<32){z=b>>>c;return a>>>c|(b&(1<<c)-1)<<32-c}z=0;return b>>>c-32|0}function ON(a,b,c){a=a|0;b=b|0;c=c|0;if((c|0)<32){z=b<<c|(a&(1<<c)-1<<32-c)>>>32-c;return a<<c}z=a<<c-32;return 0}function PN(a){a=a|0;return (a&255)<<8|a>>8&255|0}function QN(a){a=a|0;return (a&255)<<24|(a>>8&255)<<16|(a>>16&255)<<8|a>>>24|0}function RN(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;q=q+1|0;c[a>>2]=q;while((f|0)<(e|0)){if(!(c[d+(f<<3)>>2]|0)){c[d+(f<<3)>>2]=q;c[d+((f<<3)+4)>>2]=b;c[d+((f<<3)+8)>>2]=0;z=e;return d|0}f=f+1|0}e=e*2|0;d=aJ(d|0,8*(e+1|0)|0)|0;d=RN(a|0,b|0,d|0,e|0)|0;z=e;return d|0}function SN(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;while((f|0)<(d|0)){e=c[b+(f<<3)>>2]|0;if(!e)break;if((e|0)==(a|0))return c[b+((f<<3)+4)>>2]|0;f=f+1|0}return 0}function TN(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;if((e|0)>=8192)return La(b|0,d|0,e|0)|0;h=b|0;g=b+e|0;if((b&3)==(d&3)){while(b&3){if(!e)return h|0;a[b>>0]=a[d>>0]|0;b=b+1|0;d=d+1|0;e=e-1|0}e=g&-4|0;f=e-64|0;while((b|0)<=(f|0)){c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];c[b+16>>2]=c[d+16>>2];c[b+20>>2]=c[d+20>>2];c[b+24>>2]=c[d+24>>2];c[b+28>>2]=c[d+28>>2];c[b+32>>2]=c[d+32>>2];c[b+36>>2]=c[d+36>>2];c[b+40>>2]=c[d+40>>2];c[b+44>>2]=c[d+44>>2];c[b+48>>2]=c[d+48>>2];c[b+52>>2]=c[d+52>>2];c[b+56>>2]=c[d+56>>2];c[b+60>>2]=c[d+60>>2];b=b+64|0;d=d+64|0}while((b|0)<(e|0)){c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}}else{e=g-4|0;while((b|0)<(e|0)){a[b>>0]=a[d>>0]|0;a[b+1>>0]=a[d+1>>0]|0;a[b+2>>0]=a[d+2>>0]|0;a[b+3>>0]=a[d+3>>0]|0;b=b+4|0;d=d+4|0}}while((b|0)<(g|0)){a[b>>0]=a[d>>0]|0;b=b+1|0;d=d+1|0}return h|0}function UN(b,c,d){b=b|0;c=c|0;d=d|0;var e=0;if((c|0)<(b|0)&(b|0)<(c+d|0)){e=b;c=c+d|0;b=b+d|0;while((d|0)>0){b=b-1|0;c=c-1|0;d=d-1|0;a[b>>0]=a[c>>0]|0}b=e}else TN(b,c,d)|0;return b|0}function VN(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;h=b+e|0;d=d&255;if((e|0)>=67){while(b&3){a[b>>0]=d;b=b+1|0}f=h&-4|0;g=f-64|0;i=d|d<<8|d<<16|d<<24;while((b|0)<=(g|0)){c[b>>2]=i;c[b+4>>2]=i;c[b+8>>2]=i;c[b+12>>2]=i;c[b+16>>2]=i;c[b+20>>2]=i;c[b+24>>2]=i;c[b+28>>2]=i;c[b+32>>2]=i;c[b+36>>2]=i;c[b+40>>2]=i;c[b+44>>2]=i;c[b+48>>2]=i;c[b+52>>2]=i;c[b+56>>2]=i;c[b+60>>2]=i;b=b+64|0}while((b|0)<(f|0)){c[b>>2]=i;b=b+4|0}}while((b|0)<(h|0)){a[b>>0]=d;b=b+1|0}return h-e|0}function WN(a){a=a|0;var b=0,d=0;d=c[i>>2]|0;b=d+a|0;if((a|0)>0&(b|0)<(d|0)|(b|0)<0){W()|0;ra(12);return -1}c[i>>2]=b;if((b|0)>(V()|0)?(U()|0)==0:0){c[i>>2]=d;ra(12);return -1}return d|0}function XN(a){a=a|0;return +Ya[a&1]()}function YN(a,b,c,d){a=a|0;b=+b;c=+c;d=+d;return +Za[a&7](+b,+c,+d)}function ZN(a){a=a|0;return _a[a&3]()|0}function _N(a,b){a=a|0;b=b|0;return $a[a&31](b|0)|0}function $N(a,b,c){a=a|0;b=b|0;c=c|0;return ab[a&63](b|0,c|0)|0}function aO(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;return bb[a&31](b|0,c|0,d|0)|0}function bO(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;return cb[a&31](b|0,c|0,d|0,e|0)|0}function cO(a,b,c,d,e,f){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;return db[a&3](b|0,c|0,d|0,e|0,f|0)|0}function dO(a,b,c,d,e,f,g){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;g=g|0;return eb[a&1](b|0,c|0,d|0,e|0,f|0,g|0)|0}function eO(a){a=a|0;fb[a&15]()}function fO(a,b){a=a|0;b=b|0;gb[a&127](b|0)}function gO(a,b,c){a=a|0;b=b|0;c=c|0;hb[a&31](b|0,c|0)}function hO(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;ib[a&127](b|0,c|0,d|0)}function iO(a,b,c,d,e,f,g){a=a|0;b=b|0;c=c|0;d=d|0;e=+e;f=+f;g=g|0;jb[a&15](b|0,c|0,d|0,+e,+f,g|0)}function jO(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;kb[a&31](b|0,c|0,d|0,e|0)}function kO(a,b,c,d,e,f){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;lb[a&7](b|0,c|0,d|0,e|0,f|0)}function lO(a,b,c,d,e,f,g){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;g=g|0;mb[a&15](b|0,c|0,d|0,e|0,f|0,g|0)}function mO(){S(0);return 0.0}function nO(a,b,c){a=+a;b=+b;c=+c;S(1);return 0.0}function oO(){S(2);return 0}function pO(a){a=a|0;S(3);return 0}function qO(a,b){a=a|0;b=b|0;S(4);return 0}function rO(a,b,c){a=a|0;b=b|0;c=c|0;S(5);return 0}function sO(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;S(6);return 0}function tO(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;S(7);return 0}function uO(a,b,c,d,e,f){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;S(8);return 0}function vO(){S(9)}function wO(a){a=a|0;S(10)}function xO(a,b){a=a|0;b=b|0;S(11)}function yO(a,b,c){a=a|0;b=b|0;c=c|0;S(12)}function zO(a,b,c,d,e,f){a=a|0;b=b|0;c=c|0;d=+d;e=+e;f=f|0;S(13)}function AO(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;S(14)}function BO(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;S(15)}function CO(a,b,c,d,e,f){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;S(16)}

// EMSCRIPTEN_END_FUNCS
var Ya=[mO,yA];var Za=[nO,Uu,Tu,Vu,Wu,nO,nO,nO];var _a=[oO,Fw,wx,oO];var $a=[pO,Rg,kg,Rn,Un,$B,aC,RD,SD,TD,UD,VD,WD,XD,YD,fJ,ub,or,ll,ol,Bw,Gw,nn,ww,co,NB,vw,SB,TB,NI,pO,pO];var ab=[qO,tn,Qn,Vn,yz,zz,qz,mz,Wy,mr,ag,Qg,rh,Vh,li,wk,uk,ml,pl,zq,yq,xq,Ds,Ts,Os,Ps,Ot,WL,CN,sA,uB,Im,wG,Pm,Rm,eo,OB,xJ,XE,JI,KI,nN,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO];var bb=[rO,Pl,Vl,Pn,Tn,gG,gJ,hJ,lJ,mJ,$K,_l,Xl,zL,uA,Ex,$C,GI,eM,rO,rO,rO,rO,rO,rO,rO,rO,rO,rO,rO,rO,rO];var cb=[sO,Nm,Np,Om,fn,vn,xn,In,Hn,Wn,_n,ao,yx,CC,AC,wE,iG,EG,DG,Ml,wA,sO,sO,sO,sO,sO,sO,sO,sO,sO,sO,sO];var db=[tO,un,Xy,rz];var eb=[uO,kI];var fb=[vO,xA,Cw,Dw,Ew,Iw,Jw,Kw,mG,vO,vO,vO,vO,vO,vO,vO];var gb=[wO,zb,Ab,Eb,Fb,Gb,_b,$b,xc,yc,zc,Ac,Bc,Cc,Dc,Pc,Qc,Tc,Uc,Vc,Wc,Xc,Yc,Zc,jd,kd,ld,nd,od,pd,qd,rd,sd,td,ud,Fd,Gd,Hd,Jd,Kd,Ld,Md,Nd,Od,Pd,Qd,Rd,Td,ee,fe,ge,he,se,te,ue,we,Je,Ke,Le,Ne,Oe,Pe,Qe,Re,Se,Te,Ue,Ve,cf,df,ef,ff,Jf,Ef,yn,Cy,Uy,Ey,Dy,oz,ay,dy,ZD,cE,xf,ql,lm,lG,UC,VB,zx,_I,FG,jI,EI,FI,LI,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO];var hb=[xO,Fc,Kc,$c,ed,Bd,Zd,ne,Ce,$e,mf,Xn,Yy,Az,sz,nz,Sy,Ty,wz,xz,aE,eE,bm,rs,Hw,MB,iI,HI,II,MI,OI,xO];var ib=[yO,Hb,Ib,Lb,wc,Ec,Gc,Jc,_c,ad,dd,wd,xd,Ad,Ud,Vd,Yd,ie,je,me,xe,ye,Be,We,Xe,_e,gf,hf,lf,bk,ck,dk,im,zn,$n,Jo,Op,js,Ev,xx,cy,mB,BC,zC,_D,$D,bE,dE,fE,hG,WH,VH,Bm,bn,oo,Ro,Uo,Aw,vA,Cx,QB,UB,XH,ZH,_H,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO];var jb=[zO,Ft,Gt,Ht,It,Jt,Kt,Lt,Mt,zO,zO,zO,zO,zO,zO,zO];var kb=[AO,Jb,Hc,bd,md,yd,Id,Wd,ke,ze,Me,Ye,jf,Af,zf,yf,wf,vf,uf,Zb,tf,sf,wn,Vy,pz,rL,PB,RB,AO,AO,AO,AO];var lb=[BO,Rc,vd,Cd,Sd,ve,nl,WB];var mb=[CO,Kb,Ic,cd,zd,Xd,le,Ae,Ze,kf,XB,CO,CO,CO,CO,CO];return{___errno_location:jJ,___muldi3:GN,___udivdi3:LN,___uremdi3:MN,_bitshift64Lshr:NN,_bitshift64Shl:ON,_dtdisc:Ll,_dtextract:Nl,_dtopen:Ql,_free:_I,_htons:eL,_i64Add:HN,_i64Subtract:IN,_llvm_bswap_i16:PN,_llvm_bswap_i32:QN,_malloc:ZI,_memalign:dJ,_memcpy:TN,_memmove:UN,_memset:VN,_realloc:aJ,_saveSetjmp:RN,_sbrk:WN,_testSetjmp:SN,_vizCreateFile:wb,_vizLastErrorMessage:vb,_vizRenderFromString:yb,_vizSetY_invert:xb,dynCall_d:XN,dynCall_dddd:YN,dynCall_i:ZN,dynCall_ii:_N,dynCall_iii:$N,dynCall_iiii:aO,dynCall_iiiii:bO,dynCall_iiiiii:cO,dynCall_iiiiiii:dO,dynCall_v:eO,dynCall_vi:fO,dynCall_vii:gO,dynCall_viii:hO,dynCall_viiiddi:iO,dynCall_viiii:jO,dynCall_viiiii:kO,dynCall_viiiiii:lO,establishStackSpace:qb,getTempRet0:tb,runPostSets:EN,setTempRet0:sb,setThrew:rb,stackAlloc:nb,stackRestore:pb,stackSave:ob}})


// EMSCRIPTEN_END_ASM
(Module.asmGlobalArg,Module.asmLibraryArg,buffer);var ___errno_location=Module["___errno_location"]=asm["___errno_location"];var ___muldi3=Module["___muldi3"]=asm["___muldi3"];var ___udivdi3=Module["___udivdi3"]=asm["___udivdi3"];var ___uremdi3=Module["___uremdi3"]=asm["___uremdi3"];var _bitshift64Lshr=Module["_bitshift64Lshr"]=asm["_bitshift64Lshr"];var _bitshift64Shl=Module["_bitshift64Shl"]=asm["_bitshift64Shl"];var _dtdisc=Module["_dtdisc"]=asm["_dtdisc"];var _dtextract=Module["_dtextract"]=asm["_dtextract"];var _dtopen=Module["_dtopen"]=asm["_dtopen"];var _free=Module["_free"]=asm["_free"];var _htons=Module["_htons"]=asm["_htons"];var _i64Add=Module["_i64Add"]=asm["_i64Add"];var _i64Subtract=Module["_i64Subtract"]=asm["_i64Subtract"];var _llvm_bswap_i16=Module["_llvm_bswap_i16"]=asm["_llvm_bswap_i16"];var _llvm_bswap_i32=Module["_llvm_bswap_i32"]=asm["_llvm_bswap_i32"];var _malloc=Module["_malloc"]=asm["_malloc"];var _memalign=Module["_memalign"]=asm["_memalign"];var _memcpy=Module["_memcpy"]=asm["_memcpy"];var _memmove=Module["_memmove"]=asm["_memmove"];var _memset=Module["_memset"]=asm["_memset"];var _realloc=Module["_realloc"]=asm["_realloc"];var _saveSetjmp=Module["_saveSetjmp"]=asm["_saveSetjmp"];var _sbrk=Module["_sbrk"]=asm["_sbrk"];var _testSetjmp=Module["_testSetjmp"]=asm["_testSetjmp"];var _vizCreateFile=Module["_vizCreateFile"]=asm["_vizCreateFile"];var _vizLastErrorMessage=Module["_vizLastErrorMessage"]=asm["_vizLastErrorMessage"];var _vizRenderFromString=Module["_vizRenderFromString"]=asm["_vizRenderFromString"];var _vizSetY_invert=Module["_vizSetY_invert"]=asm["_vizSetY_invert"];var establishStackSpace=Module["establishStackSpace"]=asm["establishStackSpace"];var getTempRet0=Module["getTempRet0"]=asm["getTempRet0"];var runPostSets=Module["runPostSets"]=asm["runPostSets"];var setTempRet0=Module["setTempRet0"]=asm["setTempRet0"];var setThrew=Module["setThrew"]=asm["setThrew"];var stackAlloc=Module["stackAlloc"]=asm["stackAlloc"];var stackRestore=Module["stackRestore"]=asm["stackRestore"];var stackSave=Module["stackSave"]=asm["stackSave"];var dynCall_d=Module["dynCall_d"]=asm["dynCall_d"];var dynCall_dddd=Module["dynCall_dddd"]=asm["dynCall_dddd"];var dynCall_i=Module["dynCall_i"]=asm["dynCall_i"];var dynCall_ii=Module["dynCall_ii"]=asm["dynCall_ii"];var dynCall_iii=Module["dynCall_iii"]=asm["dynCall_iii"];var dynCall_iiii=Module["dynCall_iiii"]=asm["dynCall_iiii"];var dynCall_iiiii=Module["dynCall_iiiii"]=asm["dynCall_iiiii"];var dynCall_iiiiii=Module["dynCall_iiiiii"]=asm["dynCall_iiiiii"];var dynCall_iiiiiii=Module["dynCall_iiiiiii"]=asm["dynCall_iiiiiii"];var dynCall_v=Module["dynCall_v"]=asm["dynCall_v"];var dynCall_vi=Module["dynCall_vi"]=asm["dynCall_vi"];var dynCall_vii=Module["dynCall_vii"]=asm["dynCall_vii"];var dynCall_viii=Module["dynCall_viii"]=asm["dynCall_viii"];var dynCall_viiiddi=Module["dynCall_viiiddi"]=asm["dynCall_viiiddi"];var dynCall_viiii=Module["dynCall_viiii"]=asm["dynCall_viiii"];var dynCall_viiiii=Module["dynCall_viiiii"]=asm["dynCall_viiiii"];var dynCall_viiiiii=Module["dynCall_viiiiii"]=asm["dynCall_viiiiii"];Module["asm"]=asm;Module["ccall"]=ccall;Module["Pointer_stringify"]=Pointer_stringify;Module["UTF8ToString"]=UTF8ToString;if(memoryInitializer){if(!isDataURI(memoryInitializer)){if(typeof Module["locateFile"]==="function"){memoryInitializer=Module["locateFile"](memoryInitializer)}else if(Module["memoryInitializerPrefixURL"]){memoryInitializer=Module["memoryInitializerPrefixURL"]+memoryInitializer}}if(ENVIRONMENT_IS_NODE||ENVIRONMENT_IS_SHELL){var data=Module["readBinary"](memoryInitializer);HEAPU8.set(data,GLOBAL_BASE)}else{addRunDependency("memory initializer");var applyMemoryInitializer=(function(data){if(data.byteLength)data=new Uint8Array(data);HEAPU8.set(data,GLOBAL_BASE);if(Module["memoryInitializerRequest"])delete Module["memoryInitializerRequest"].response;removeRunDependency("memory initializer")});function doBrowserLoad(){Module["readAsync"](memoryInitializer,applyMemoryInitializer,(function(){throw"could not load memory initializer "+memoryInitializer}))}var memoryInitializerBytes=tryParseAsDataURI(memoryInitializer);if(memoryInitializerBytes){applyMemoryInitializer(memoryInitializerBytes.buffer)}else if(Module["memoryInitializerRequest"]){function useRequest(){var request=Module["memoryInitializerRequest"];var response=request.response;if(request.status!==200&&request.status!==0){var data=tryParseAsDataURI(Module["memoryInitializerRequestURL"]);if(data){response=data.buffer}else{console.warn("a problem seems to have happened with Module.memoryInitializerRequest, status: "+request.status+", retrying "+memoryInitializer);doBrowserLoad();return}}applyMemoryInitializer(response)}if(Module["memoryInitializerRequest"].response){setTimeout(useRequest,0)}else{Module["memoryInitializerRequest"].addEventListener("load",useRequest)}}else{doBrowserLoad()}}}function ExitStatus(status){this.name="ExitStatus";this.message="Program terminated with exit("+status+")";this.status=status}ExitStatus.prototype=new Error;ExitStatus.prototype.constructor=ExitStatus;var initialStackTop;dependenciesFulfilled=function runCaller(){if(!Module["calledRun"])run();if(!Module["calledRun"])dependenciesFulfilled=runCaller};function run(args){args=args||Module["arguments"];if(runDependencies>0){return}preRun();if(runDependencies>0)return;if(Module["calledRun"])return;function doRun(){if(Module["calledRun"])return;Module["calledRun"]=true;if(ABORT)return;ensureInitRuntime();preMain();if(Module["onRuntimeInitialized"])Module["onRuntimeInitialized"]();postRun()}if(Module["setStatus"]){Module["setStatus"]("Running...");setTimeout((function(){setTimeout((function(){Module["setStatus"]("")}),1);doRun()}),1)}else{doRun()}}Module["run"]=run;function exit(status,implicit){if(implicit&&Module["noExitRuntime"]&&status===0){return}if(Module["noExitRuntime"]){}else{ABORT=true;EXITSTATUS=status;STACKTOP=initialStackTop;exitRuntime();if(Module["onExit"])Module["onExit"](status)}if(ENVIRONMENT_IS_NODE){process["exit"](status)}Module["quit"](status,new ExitStatus(status))}Module["exit"]=exit;function abort(what){if(Module["onAbort"]){Module["onAbort"](what)}if(what!==undefined){Module.print(what);Module.printErr(what);what=JSON.stringify(what)}else{what=""}ABORT=true;EXITSTATUS=1;throw"abort("+what+"). Build with -s ASSERTIONS=1 for more info."}Module["abort"]=abort;if(Module["preInit"]){if(typeof Module["preInit"]=="function")Module["preInit"]=[Module["preInit"]];while(Module["preInit"].length>0){Module["preInit"].pop()()}}Module["noExitRuntime"]=true;run()




  return Module;
};

function render(instance, src, options) {
  var i;
  for (i = 0; i < options.files.length; i++) {
    instance['ccall']('vizCreateFile', 'number', ['string', 'string'], [options.files[i].path, options.files[i].data]);
  }

  instance['ccall']('vizSetY_invert', 'number', ['number'], [options.yInvert ? 1 : 0]);
  
  var resultPointer = instance['ccall']('vizRenderFromString', 'number', ['string', 'string', 'string'], [src, options.format, options.engine]);
  var resultString = instance['Pointer_stringify'](resultPointer);
  instance['ccall']('free', 'number', ['number'], [resultPointer]);

  var errorMessagePointer = instance['ccall']('vizLastErrorMessage', 'number', [], []);
  var errorMessageString = instance['Pointer_stringify'](errorMessagePointer);
  instance['ccall']('free', 'number', ['number'], [errorMessagePointer]);

  if (errorMessageString != '') {
    throw new Error(errorMessageString);
  }
  
  return resultString;
}

if (typeof importScripts === "function") {
  var instance = Module();
  
  onmessage = function(event) {
    var id = event.data.id;
    var src = event.data.src;
    var options = event.data.options;
  
    try {
      var result = render(instance, src, options);
      postMessage({ id: id, result: result });
    } catch (error) {
      postMessage({ id: id, error: { message: error.message, fileName: error.fileName, lineNumber: error.lineNumber } });
    }
  }
}

if (typeof exports === 'object' && typeof module !== 'undefined') {
  module.exports = { render: render, Module: Module };
} else if (typeof define === 'function' && define.amd) {
  define(function() { return { render: render, Module: Module }; });
}

if (typeof global.Viz !== 'undefined') {
  global.Viz.render = render;
  global.Viz.Module = Module;
}

})(typeof self !== 'undefined' ? self : this);

Plugin based on grapviz library:

https://github.com/mdaines/viz.js/

For syntax of graphviz:

* https://graphs.grevian.org/example
* https://graphviz.gitlab.io/documentation/
* https://www.graphviz.org/ 

```
<$viz text='  digraph G {
      Consola->nginx [label="Pide encriptar url para cliente", color=green]
      nginx [shape=box];
      nginx->Consola [color=red]
      client-> HAPROXY  [color=red]
      STUPID [shape=box];
      HAPROXY -> STUPID  [color=red]
      STUPID -> Prelanderred
      STUPID -> STUPID [color=green, label="Pasa del nginx al hhvm desdencriptado"]
      vsh [shape=box];
      STUPID->vsh  [color=red]
     }' class="myexample"/>
```

<$viz text='  digraph G {
      Consola->nginx [label="Pide encriptar url para cliente", color=green]
      nginx [shape=box];
      nginx->Consola [color=red]
      client-> HAPROXY  [color=red]
      STUPID [shape=box];
      HAPROXY -> STUPID  [color=red]
      STUPID -> Prelanderred
      STUPID -> STUPID [color=green, label="Pasa del nginx al hhvm desdencriptado"]
      vsh [shape=box];
      STUPID->vsh  [color=red]
     }' class="myexample"/>

/*
Viz.js 2.0.0 (Graphviz 2.40.1, Expat 2.2.5, Emscripten 1.37.36)
Copyright (c) 2014-2018 Michael Daines
Licensed under MIT license

This distribution contains other software in object code form:

Graphviz
Licensed under Eclipse Public License - v 1.0
http://www.graphviz.org

Expat
Copyright (c) 1998, 1999, 2000 Thai Open Source Software Center Ltd and Clark Cooper
Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006 Expat maintainers.
Licensed under MIT license
http://www.libexpat.org

zlib
Copyright (C) 1995-2013 Jean-loup Gailly and Mark Adler
http://www.zlib.net/zlib_license.html
*/
(function (global, factory) {
  typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() :
  typeof define === 'function' && define.amd ? define(factory) :
  (global.Viz = factory());
}(this, (function () { 'use strict';

  var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) {
    return typeof obj;
  } : function (obj) {
    return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj;
  };

  var classCallCheck = function (instance, Constructor) {
    if (!(instance instanceof Constructor)) {
      throw new TypeError("Cannot call a class as a function");
    }
  };

  var createClass = function () {
    function defineProperties(target, props) {
      for (var i = 0; i < props.length; i++) {
        var descriptor = props[i];
        descriptor.enumerable = descriptor.enumerable || false;
        descriptor.configurable = true;
        if ("value" in descriptor) descriptor.writable = true;
        Object.defineProperty(target, descriptor.key, descriptor);
      }
    }

    return function (Constructor, protoProps, staticProps) {
      if (protoProps) defineProperties(Constructor.prototype, protoProps);
      if (staticProps) defineProperties(Constructor, staticProps);
      return Constructor;
    };
  }();

  var _extends = Object.assign || function (target) {
    for (var i = 1; i < arguments.length; i++) {
      var source = arguments[i];

      for (var key in source) {
        if (Object.prototype.hasOwnProperty.call(source, key)) {
          target[key] = source[key];
        }
      }
    }

    return target;
  };

  var WorkerWrapper = function () {
    function WorkerWrapper(worker) {
      var _this = this;

      classCallCheck(this, WorkerWrapper);

      this.worker = worker;
      this.listeners = [];
      this.nextId = 0;

      this.worker.addEventListener('message', function (event) {
        var id = event.data.id;
        var error = event.data.error;
        var result = event.data.result;

        _this.listeners[id](error, result);
        delete _this.listeners[id];
      });
    }

    createClass(WorkerWrapper, [{
      key: 'render',
      value: function render(src, options) {
        var _this2 = this;

        return new Promise(function (resolve, reject) {
          var id = _this2.nextId++;

          _this2.listeners[id] = function (error, result) {
            if (error) {
              reject(new Error(error.message, error.fileName, error.lineNumber));
              return;
            }
            resolve(result);
          };

          _this2.worker.postMessage({ id: id, src: src, options: options });
        });
      }
    }]);
    return WorkerWrapper;
  }();

  var ModuleWrapper = function ModuleWrapper(module, render) {
    classCallCheck(this, ModuleWrapper);

    var instance = module();
    this.render = function (src, options) {
      return new Promise(function (resolve, reject) {
        try {
          resolve(render(instance, src, options));
        } catch (error) {
          reject(error);
        }
      });
    };
  };

  // https://developer.mozilla.org/en-US/docs/Web/API/WindowBase64/Base64_encoding_and_decoding


  function b64EncodeUnicode(str) {
    return btoa(encodeURIComponent(str).replace(/%([0-9A-F]{2})/g, function (match, p1) {
      return String.fromCharCode('0x' + p1);
    }));
  }

  function defaultScale() {
    if ('devicePixelRatio' in window && window.devicePixelRatio > 1) {
      return window.devicePixelRatio;
    } else {
      return 1;
    }
  }

  function svgXmlToImageElement(svgXml) {
    var _ref = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {},
        _ref$scale = _ref.scale,
        scale = _ref$scale === undefined ? defaultScale() : _ref$scale,
        _ref$mimeType = _ref.mimeType,
        mimeType = _ref$mimeType === undefined ? "image/png" : _ref$mimeType,
        _ref$quality = _ref.quality,
        quality = _ref$quality === undefined ? 1 : _ref$quality;

    return new Promise(function (resolve, reject) {
      var svgImage = new Image();

      svgImage.onload = function () {
        var canvas = document.createElement('canvas');
        canvas.width = svgImage.width * scale;
        canvas.height = svgImage.height * scale;

        var context = canvas.getContext("2d");
        context.drawImage(svgImage, 0, 0, canvas.width, canvas.height);

        canvas.toBlob(function (blob) {
          var image = new Image();
          image.src = URL.createObjectURL(blob);
          image.width = svgImage.width;
          image.height = svgImage.height;

          resolve(image);
        }, mimeType, quality);
      };

      svgImage.onerror = function (e) {
        var error;

        if ('error' in e) {
          error = e.error;
        } else {
          error = new Error('Error loading SVG');
        }

        reject(error);
      };

      svgImage.src = 'data:image/svg+xml;base64,' + b64EncodeUnicode(svgXml);
    });
  }

  function svgXmlToImageElementFabric(svgXml) {
    var _ref2 = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {},
        _ref2$scale = _ref2.scale,
        scale = _ref2$scale === undefined ? defaultScale() : _ref2$scale,
        _ref2$mimeType = _ref2.mimeType,
        mimeType = _ref2$mimeType === undefined ? 'image/png' : _ref2$mimeType,
        _ref2$quality = _ref2.quality,
        quality = _ref2$quality === undefined ? 1 : _ref2$quality;

    var multiplier = scale;

    var format = void 0;
    if (mimeType == 'image/jpeg') {
      format = 'jpeg';
    } else if (mimeType == 'image/png') {
      format = 'png';
    }

    return new Promise(function (resolve, reject) {
      fabric.loadSVGFromString(svgXml, function (objects, options) {
        // If there's something wrong with the SVG, Fabric may return an empty array of objects. Graphviz appears to give us at least one <g> element back even given an empty graph, so we will assume an error in this case.
        if (objects.length == 0) {
          reject(new Error('Error loading SVG with Fabric'));
        }

        var element = document.createElement("canvas");
        element.width = options.width;
        element.height = options.height;

        var canvas = new fabric.Canvas(element, { enableRetinaScaling: false });
        var obj = fabric.util.groupSVGElements(objects, options);
        canvas.add(obj).renderAll();

        var image = new Image();
        image.src = canvas.toDataURL({ format: format, multiplier: multiplier, quality: quality });
        image.width = options.width;
        image.height = options.height;

        resolve(image);
      });
    });
  }

  var Viz = function () {
    function Viz() {
      var _ref3 = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {},
          workerURL = _ref3.workerURL,
          worker = _ref3.worker,
          Module = _ref3.Module,
          render = _ref3.render;

      classCallCheck(this, Viz);

      if (typeof workerURL !== 'undefined') {
        this.wrapper = new WorkerWrapper(new Worker(workerURL));
      } else if (typeof worker !== 'undefined') {
        this.wrapper = new WorkerWrapper(worker);
      } else if (typeof Module !== 'undefined' && typeof render !== 'undefined') {
        this.wrapper = new ModuleWrapper(Module, render);
      } else if (typeof Viz.Module !== 'undefined' && typeof Viz.render !== 'undefined') {
        this.wrapper = new ModuleWrapper(Viz.Module, Viz.render);
      } else {
        throw new Error('Must specify workerURL or worker option, Module and render options, or include one of full.render.js or lite.render.js after viz.js.');
      }
    }

    createClass(Viz, [{
      key: 'renderString',
      value: function renderString(src) {
        var _ref4 = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {},
            _ref4$format = _ref4.format,
            format = _ref4$format === undefined ? 'svg' : _ref4$format,
            _ref4$engine = _ref4.engine,
            engine = _ref4$engine === undefined ? 'dot' : _ref4$engine,
            _ref4$files = _ref4.files,
            files = _ref4$files === undefined ? [] : _ref4$files,
            _ref4$images = _ref4.images,
            images = _ref4$images === undefined ? [] : _ref4$images,
            _ref4$yInvert = _ref4.yInvert,
            yInvert = _ref4$yInvert === undefined ? false : _ref4$yInvert;

        for (var i = 0; i < images.length; i++) {
          files.push({
            path: images[i].path,
            data: '<?xml version="1.0" encoding="UTF-8" standalone="no"?>\n<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">\n<svg width="' + images[i].width + '" height="' + images[i].height + '"></svg>'
          });
        }

        return this.wrapper.render(src, { format: format, engine: engine, files: files, images: images, yInvert: yInvert });
      }
    }, {
      key: 'renderSVGElement',
      value: function renderSVGElement(src) {
        var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};

        return this.renderString(src, _extends({}, options, { format: 'svg' })).then(function (str) {
          var parser = new DOMParser();
          return parser.parseFromString(str, 'image/svg+xml').documentElement;
        });
      }
    }, {
      key: 'renderImageElement',
      value: function renderImageElement(src) {
        var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
        var scale = options.scale,
            mimeType = options.mimeType,
            quality = options.quality;


        return this.renderString(src, _extends({}, options, { format: 'svg' })).then(function (str) {
          if ((typeof fabric === 'undefined' ? 'undefined' : _typeof(fabric)) === "object" && fabric.loadSVGFromString) {
            return svgXmlToImageElementFabric(str, { scale: scale, mimeType: mimeType, quality: quality });
          } else {
            return svgXmlToImageElement(str, { scale: scale, mimeType: mimeType, quality: quality });
          }
        });
      }
    }, {
      key: 'renderJSONObject',
      value: function renderJSONObject(src) {
        var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
        var format = options.format;


        if (format !== 'json' || format !== 'json0') {
          format = 'json';
        }

        return this.renderString(src, _extends({}, options, { format: format })).then(function (str) {
          return JSON.parse(str);
        });
      }
    }]);
    return Viz;
  }();

  return Viz;

})));

(function(){

    var Widget = require("$:/core/modules/widgets/widget.js").widget;
    var Viz = require("$:/plugins/chanilino/viz/viz.js");
    var {Module, render } = require("$:/plugins/chanilino/viz/lite.render.js");
    var viz = new Viz({ Module, render });
    

    var VizWidget = function(parseTreeNode,options) {
        this.initialise(parseTreeNode,options);
    };

    VizWidget.prototype = new Widget();

    VizWidget.prototype.render = function(parent,nextSibling) {
        this.parentDomNode = parent;
        this.computeAttributes();
        this.execute();
        var domNode = this.create(parent, nextSibling);
        this.domNodes.push(domNode);
        parent.insertBefore(domNode,nextSibling);
        this.renderChildren(domNode,null);
    };

    VizWidget.prototype.execute = function() {
        // get attributes
        this.my_text = this.getAttribute("text");
        this.selectClass = this.getAttribute("class");
        this.tiddler = this.getAttribute("tiddler",this.getVariable("currentTiddler"));
        this.setName = this.getAttribute("name","currentTiddler");
        // make child widgets 
        //this.makeChildWidgets();
    };

    //refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering
    VizWidget.prototype.refresh = function(changedTiddlers) {
        var changedAttributes = this.computeAttributes();
        if(changedAttributes.my_text || changedAttributes.tiddler) {
            this.refreshSelf();
            return true;
        } else {
            return this.refreshChildren(changedTiddlers);		
        }
    };

    VizWidget.prototype.removeChildDomNodes = function() {
        $tw.utils.each(this.domNodes,function(domNode) {
            domNode.parentNode.removeChild(domNode);
        });
        this.domNodes = [];
    };

    VizWidget.prototype.create = function() {
        // create a <div> container for the image
        var domNode = $tw.utils.domMaker("div",{class:this.selectClass});

        viz.renderSVGElement(this.my_text).then(
           element => { 
              domNode.appendChild(element);
           }).catch(
             error => {
               viz = new Viz({ Module, render });
         });
        return domNode;
    };


    VizWidget.prototype.handleChangeEvent = function(event) {
        // set the widget variable to inform the children
        this.setVariable(this.setName,event.target.value,this.parseTreeNode.params);
        // refresh this widget, and thereby the child widgets AND the enclosed content of this widget 
        this.refreshSelf();
        return true;
    };

    exports.viz = VizWidget;

})();

/*BOXES*/

html body.tc-body .graybox {display:block;background-color:#eee;padding:5px;padding-left:20px;padding-top:10px;margin-top:5px;margin-bottom:5px;width:95%;}

code {color: #b0a;}

/*TIGHT NOTES*/

html body.tc-body h1, html body.tc-body h2, html body.tc-body h3, html body.tc-body h4 { margin-top: 0.3em; margin-bottom: 0.3em; }

/*FONT SUBTITLES*/

.serif {font-family: 'Arial', sans-serif;color:#bbb;font-size:10pt;}

html body.tc-body .serif a.tc-tiddlylink-external {font-family: 'Arial', sans-serif;font-size:12pt; line-height:normal;font-weight:normal;color:#666;}

/*FONT STUFF (colors)*/

html body.tc-body .lightgraybk {background:#eee;padding:1px 4px px 4px;margin-bottom:2px;font-family:'Arial', sans-serif;}

.red {color:red;}

/*FONT STUFF SOURCES*/

html body.tc-body .source {color:#777;font-size:10pt;}

/*HORIZONTAL RULE*/

html body.tc-body hr {border:0px;}

html body.tc-body hr {
	border-top: 1px solid #bbb;
	text-align: center;
width:100%; margin-top:15px; margin-bottom:15px;

}

/*ICON COLORS*/

html body.tc-body .tc-image-new-button {stroke: white;fill:#7897fc;}
html body.tc-body .tc-image-timestamp-on {stroke: white;fill:#7897fc;}
html body.tc-body .tc-image-chevron-up {stroke: white;fill:#ccc;}
html body.tc-body .tc-image-chevron-down {stroke: white;fill:#ccc;}
html body.tc-body .tc-image-fold-button {stroke: white;fill:#ccc;}
html body.tc-body .tc-image-unfold-button {stroke: white;fill:#ccc;}
html body.tc-body .tc-image-preview-open {stroke: white;fill:#d9c;}


/*INDENTING*/

html body.tc-body .indent1 {margin-left:1.5em;display:block;}

/*LINKS*/

html body.tc-body a.tc-tiddlylink {text-decoration: none;font-style: normal;font-weight: normal;} 
html body.tc-body  a.tc-tiddlylink-missing {font-weight:normal; background-color:#ffd; color:#66f;font-style:normal;}
html body.tc-body a.tc-tiddlylink-external {text-decoration: none;font-weight: normal;color: #109;}
html body.tc-body a.tc-tiddlylink-visited {text-decoration: none;font-weight: normal;color: #66f;}

html body.tc-body .source a.tc-tiddlylink-external {font-weight: normal;font-size:10pt;}

/*TABLES BASIC*/

html body.tc-body th {color:#000;}
html body.tc-body td {color:#000;}

/*TABLES GREENALTROWS*/

html body.tc-body .greenaltrows th {padding: 10px; border: 1px solid #aaa; vertical-align:top;text-align:left;}
html body.tc-body .greenaltrows td {padding: 10px; border: 1px solid #aaa; vertical-align:top;}
html body.tc-body .greenaltrows tr:nth-child(even) td {background-color:#F3F6F5;}
html body.tc-body .greenaltrows tr:nth-child(odd) td {background-color:#E7EDEB;}

html body.tc-body .greenaltrows {
-moz-box-shadow: 10px 10px 5px #bbb;
-webkit-box-shadow: 10px 10px 5px #bbb;
box-shadow: 10px 10px 5px #bbb;
}

/*TIDDLER TITLES*/

.tc-tiddler-missing .tc-title { font-style: normal; font-weight: bold; }

/*HIDE SECTIONS FOR PRINTING*/

@media print {#tc-page-background {display: none ! important;}} 
@media print {.tc-tags-wrapper {display: none ! important;}} 

 @media print { body.tc-body {background-color: transparent;}}
 @media print {.tc-image-chevron-up {display: none ! important;}} 
 @media print {.tc-image-chevron-down {display: none ! important;}} 
 @media print {button.sidebar-toggle {display: none ! important;}} 
@media print {.hideprint {display: none ! important;}} 
@media print {.tc-btn-invisible {display: none ! important;}} 

@media print {

.story-river {
margin: 0;
padding: 0;
}

html body.tc-body .tc-tiddler-frame {
margin: 0;
border-bottom: 1px solid #fff;
padding: 5px;}

html body.tc-body a.tc-tiddlylink-external:hover {
border: 1px solid <<colour tiddler-border>>;
}

html body.tc-body .tc-tiddler-info {
padding: 14px 42px 14px 42px;
background-color: <<colour tiddler-info-background>>;}

}
}

<$vars journalTitleTemplate={{$:/config/NewJournal/Title}} journalTags={{$:/config/NewJournal/Tags}} journalText="">
<$wikify name="journalTitle" text="""<$macrocall $name="now" format=<<journalTitleTemplate>>/>""">
<$reveal type="nomatch" state=<<journalTitle>> text="">
<$action-sendmessage $message="tm-new-tiddler" title=<<journalTitle>> tags="" text={{{ [<journalTitle>get[]] }}}/>
</$reveal>
<$reveal type="match" state=<<journalTitle>> text="">
<$action-sendmessage $message="tm-new-tiddler" title=<<journalTitle>> tags="" text=<<journalText>>/>
</$reveal>
</$wikify>
</$vars>

\define journalButton()
<$button tooltip={{$:/language/Buttons/NewJournal/Hint}} aria-label={{$:/language/Buttons/NewJournal/Caption}} class=<<tv-config-toolbar-class>> actions={{$:/.giffmex/actions/new-journal}}>
<$list filter="[<tv-config-toolbar-icons>match[yes]]">
{{$:/core/images/timestamp-on}}
</$list>
<$list filter="[<tv-config-toolbar-text>match[yes]]">
<span class="tc-btn-text"><$text text={{$:/language/Buttons/NewJournal/Caption}}/></span>
</$list>
</$button>
\end
<<journalButton>>

<span class="doublelist">

*''2-28-2020''
**Thanks to help from Mark S. at the ~TiddlyWiki Google group (and Thomas Elmiger, Mohammad and ~TonyM), the checkboxes for changing the way to view references now work the way I have always wanted them to: choosing one view closes the other views. 
**Added a TiddlyBlink palette and a palette switcher in the 'gear' tab.
**Changed tiddlers: $:/.giffmex/sidebar/tabs/tiddlyblinkcontrols, $:/.giffmex/ViewTemplate/refstranscludeclean, $:/.giffmex/ViewTemplate/refstranscludecollapse, $:/.giffmex/ViewToolbar/viewrefscheckboxes.

*''1-29-2020:''
**Added CSS in $:/.giffmex/.Stylesheet4tiddlyblink for tighter padding around transcluded notes.
**Added $:/sk/WhiteList so users can add wikiwords they don't want to automatically turn into links
**Moved the checkboxes for toggling notes as context / transclude / links to the ~TiddlyBlink tab in the sidebar.
**With the help of ~TonyM and Eric Shulman at the ~TiddlyWiki Google group, I was able to fix a problem with the button at the top of the tiddlers that creates new tiddlers with a date and time stamp for the title. 
**Improved instructions, including an example file at http://giffmex.org/gifts/tiddlyblinkexample.html
*''1-30-2020:''
**Made tiddler titles above transclusions into links, by popular demand.
*''1-31-2020''
**With the help fo ~MarkS at the ~TiddlyWiki Google group, I added a new way of viewing references: transclusion with open and close buttons. 
**Added the home page and more documentation, accessible from the 'Start here' tab.
*''2-1-2020''
**Changed .outlinesList to .hideList
**Added documentation to .hideList, .sourcesList and .topicList
**Other minor documentation changes (2 and 3)
**Link to upcoming Spanish version
**Updated [[$:/.giffmex/meta/How.to.add.TiddlyBlink.to.your.TiddlyWiki]] (the list there will soon be replaced with a plugin!)
*''2-4-2020''
**Now when you save a tiddler, any links in that tiddler to non-existent (missing) tiddlers automatically cause the creation of those tiddlers. So you don't need to open the links, click edit, and click save, as before.
*''2-6-2020''
**Added the parallel tab in the sidebar ($:/.giffmex/sidebar/parallel) for viewing tiddlers side by side. See [[3. See tiddlers side by side]]. Use by tagging and untagging a tiddler with `parallel`
**Adjusted relative width of story river and sidebar, and hide sitetitle and sitesubtitle from sidebar, to make room for the parallel tab.
*''2-7-2020''
**Replaced yesterday's parallel tab with an even better one! Courtesy of A Gloom from the TiddlyWiki Google group. Now just paste a tiddler title into the parallel tab field, and view the tiddler's contents for side-by-side reading. ($:/.giffmex/sidebar/parallel and $:/.giffmex/sidebar/parallel2)
**Hid 'meta' tags from References, per suggestion by Mark S at the TiddlyWiki Google group.
*''2-12-2020''
**Changed TB so that only linked references appear in the reference section. Added $:/.giffmex/meta/hack.tiddlyblink with instructions on how to put it back in. See $:/.giffmex/ViewTemplate/refscontext, $:/.giffmex/ViewTemplate/refslinks, $:/.giffmex/ViewTemplate/refstranscludeclean,  and $:/.giffmex/ViewTemplate/refstranscludecollapse
**Made available from the tiddler view toolbar, the checkboxes for showing and hiding references. See the {{$:/core/images/preview-open}} menu at the top of the tiddlers.  $:/.giffmex/viewtoolbar/viewrefs, $:/.giffmex/ViewToolbar/viewrefscheckboxes, and $:/config/ViewToolbarButtons/Visibility/$:/.giffmex/ViewToolbar/viewrefscheckboxes
</span>

*Change the title and subtitle of this file
**Edit [[$:/SiteTitle]] and [[$:/SiteSubtitle]]
*Customize the date and time stamp when creating new notes 
**Open [[$:/config/NewJournal/Title]] and adjust. The guide to formatting dates and times is here: https://tiddlywiki.com/#DateFormat
**Make changes to the Custom Stylesheet: edit [[$:/.giffmex/.Stylesheet4tiddlyblink]] and/or create a tiddler and tag it `$:/tags/Stylesheet` and choose 'text/css' in the type field.
*Keep WikiWords (CamelCase words like McDonalds ) from becoming links
**Add `~` before a wikiword to keep it from becoming a link
**To add to a word-by-word list of frequent wikiwords that should not be links, add them, comma-separated, to $:/sk/WhiteList
**Nuclear option: To turn off //all //automatic wikiword linking, open $:/ControlPanel > Settings > uncheck the Camel Case Wiki Links checkbox

!!All references, in links and in regular text.

We disabled references that do not appear in links. This was a feature in early versions of TiddlyBlink, but we and others found it produced a lot of unwanted references, and confusion as people clicked the link and did not have a link to return back to the previous tiddler.

But if you would like to have this feature back in your TiddlyBlink, just edit the following tiddlers:

"""
 $:/.giffmex/ViewTemplate/refscontext
$:/.giffmex/ViewTemplate/refslinks
$:/.giffmex/ViewTemplate/refstranscludeclean
$:/.giffmex/ViewTemplate/refstranscludecollapse
""" 

And replace

`all[current]backlinks[]`

with

`regexp:text<mycrit>`

To get this experience on your own TiddlyWiki or an empty one, drag these links from here to the other TiddlyWiki.

"""
 [[.hideList]]
[[.sourcesList]]
[[.topicList]]
[[1. Download and set up TiddlyBlink]]
[[2. Lightning-fast linking and navigating]]
[[3. See tiddlers side by side]]
[[4. Topics, sources and hiding?]]
[[5. My own notetaking process in TiddlyBlink]]
[[6. Learn more about TiddlyWiki]]
[[TiddlyBlink]]
[[TiddlyBlink home]]
TiddlyBlinkFoldData
 $:/.giffmex/.Stylesheet4tiddlyblink
$:/.giffmex/actions/new-journal
$:/.giffmex/buttons/newnote-datetime
$:/.giffmex/Change
$:/.giffmex/Change.log
$:/.giffmex/Customize
$:/.giffmex/Customize.TiddlyBlink
$:/.giffmex/meta/hack.tiddlyblink
$:/.giffmex/meta/How
$:/.giffmex/meta/How.to.add.TiddlyBlink.to.your.TiddlyWiki
$:/.giffmex/meta/TiddlyBlink
$:/.giffmex/meta/TiddlyBlink.gears.and.doo-hickeys
$:/.giffmex/sidebar/parallel
$:/.giffmex/sidebar/parallel2
$:/.giffmex/sidebar/tabs/tiddlyblinkcontrols
$:/.giffmex/ViewTemplate/refscontext
$:/.giffmex/ViewTemplate/refslinks
$:/.giffmex/ViewTemplate/refstranscludeclean
$:/.giffmex/ViewTemplate/refstranscludecollapse
$:/.giffmex/ViewToolbar/new-note-here
$:/.giffmex/ViewToolbar/new-note-here-datetime
$:/.giffmex/viewtoolbar/viewrefs
$:/.giffmex/ViewToolbar/viewrefscheckboxes 
$:/.tb/macros/list-search 
 $:/config/AnimationDuration
$:/config/EditorTypeMappings/text/vnd.tiddlywiki
$:/config/NewJournal/Title
$:/config/RelinkOnRename
$:/config/ViewToolbarButtons/Visibility/$:/.giffmex/ViewToolbar/viewrefscheckboxes
$:/config/WikiParserRules/Inline/wikilink 
 $:/core/ui/Buttons/save
$:/core/ui/EditTemplate
 $:/DefaultTiddlers
$:/fullscreen-editor 
$:/jd/fullscreen-editor/EditButton
 $:/plugins/danielo515/context/css
$:/plugins/danielo515/ContextPlugin
$:/plugins/danielo515/ContextPlugin/Caption
$:/plugins/danielo515/ContextPlugin/widgets/context.js
$:/plugins/flibbles/relink
$:/plugins/jd/fullscreen-editor
$:/plugins/sk/WhiteList
$:/plugins/snowgoon88/edit-comptext
$:/plugins/snowgoon88/edit-comptext/config
$:/SiteSubtitle
$:/SiteTitle
$:/sk/WhiteList 
 $:/tags/EditToolbar
$:/tags/PageControls
$:/tags/ViewTemplate
$:/tags/ViewToolbar 
$:/view
"""

For those who want to understand ~TiddlyBlink better, tinker with it and customize it, here is the basic information (assuming you already know how ~TiddlyWiki works).

''General''

*CSS styles can be found and edited in $:/.giffmex/.Stylesheet4tiddlyblink 

''Tiddler toolbar in view mode''

*The + icon activates $:/.giffmex/ViewToolbar/new-note-here and the clock icon activates $:/.giffmex/ViewToolbar/new-note-here-datetime . These create new tiddlers whose text field contains a link to the tiddler used to create them. So the 'child' tiddler contains a link to the 'parent' tiddler. The title field is either empty or contains a date and time stamp, depending on which button is chosen.
*The {{$:/core/images/full-screen-button}} icon activates the [[Fullscreen editor plugin|$:/plugins/jd/fullscreen-editor]]. This opens the current tiddler in edit mode that occupies the entire screen.

''Link creation and editing''

*Typing `[[` activates autocomplete, executed by the [[comptext plugin|$:/plugins/snowgoon88/edit-comptext]]. If the tiddler already exists, you can hit enter if the desired tiddler is the first entry, or navigate with the down arrow key until you reach it. Then hit enter. The opening and closing brackets that get created by this plugin can be modified using the tiddler $:/plugins/snowgoon88/edit-comptext/config .
**Note that the comptext plugin relies on $:/config/EditorTypeMappings/text/vnd.tiddlywiki set to `comptext`
*When you rename a tiddler, this activates the [[Relink plugin|$:/plugins/flibbles/relink]]. This changes all the references to the renamed tiddler title found as links in all the other tiddlers. It does not change references that are not found in links.
*WikiWords in CamelCase automatically turn into links. $:/sk/WhiteList is a list run by the [[Whitelist plugin|$:/plugins/sk/WhiteList]] that allows you to list all WikiWords you do not want turned into links. Other options: manually insert `~` before the WikiWords as they occur in tidders, or, if you are like me and find WikiWords annoying rather than helpful, uncheck the first checkbox in the $:/ControlPanel > settings tab.

''Sidebar''

*The ~TiddlyBlink sidebar is found in the $:/.giffmex/sidebar/tabs/tiddlyblinkcontrols tiddler.
*The blue clock button in the sidebar activates $:/.giffmex/buttons/newnote-datetime . This is set up to create a new tiddler with a date and timestamp in the title.
*Clicking on a checkmark in the ~TiddlyBlink tab tags one of three tiddlers ($:/.giffmex/ViewTemplate/refscontext, $:/.giffmex/ViewTemplate/refslinks, $:/.giffmex/ViewTemplate/refstranscludeclean and $:/.giffmex/ViewTemplate/refstranscludecollapse) with the tag ~$:/tags/ViewTemplate, making them show up under the tiddler. Those three tiddlers grab all the text references to the current tiddler, and format them into either links, transclusions, or highlighted search results in context. The latter uses the [[ContextPlugin|$:/plugins/danielo515/ContextPlugin]]. 

\define tagreset() 
<$list filter="[tag[refs]sort[created]] -[[$(currentTiddler)$]]" variable="removeme">
<$action-listops  $tiddler=<<removeme>> $tags="+[remove[$:/tags/ViewTemplate]]"/>
</$list>
<$action-deletefield dummy/>
\end

Click the palette icon below to ''select a color palette'' from a dropdown. Default is ~TiddlyBlink. TiddlyWiki default is Vanilla. Note that dark themes may obscure some features.

Click here: {{$:/core/ui/Buttons/palette}}

<hr>

<span class="graybox">

''View references as:''

<$list filter="[tag[refs]sort[created]]">
<$list filter="[all[current]tag[$:/tags/ViewTemplate]]">
<$checkbox field=dummy checked="yes" unchecked="yes" default="yes"></$checkbox>
<$link><$view field="caption"/></$link><br/> 
</$list>
<$list filter="[all[current]!tag[$:/tags/ViewTemplate]]">
<$checkbox tag="$:/tags/ViewTemplate" xinvertTag="yes" checkactions=<<tagreset>>/><$link> <$view field="caption"/></$link><br/> 
</$list>
</$list>

<br>Note that the gray boxes in the context and transclude options are links to their respective tiddlers.

</span>

\define mycrit() (?i)\b$(searchspx)$\b

<hr>References: 

<$vars searchme=<<currentTiddler>> searchspx={{{ [<currentTiddler>escaperegexp[]]}}} >

<$list filter="[!is[system]all[current]backlinks[]!tag[outlines]!tag[hide]sort[title]] -[is[current]]"><$link><$view field="title"/></$link><span class="indent1"><$link><span class="graybox"><$context term=<<searchme>> /></span></$link></span></$list>
</$vars>

\define mycrit() (?i)\b$(searchspx)$\b

<hr>References: 

<$vars searchme=<<currentTiddler>> searchspx={{{ [<currentTiddler>escaperegexp[]]}}} >

<$list filter="[!is[system]all[current]backlinks[]!tag[hide]sort[title]] -[is[current]]"><$link><$view field="title" /></$link><br></$list>
</$vars>

<hr>

References: <br>

<$list filter="[!is[system]all[current]backlinks[]!tag[hide]!tag[outlines]sort[title]] -[is[current]]"><$link><$view field="title"/></$link><span class="indent1"><$link><span class="graybox"><$transclude field="text" mode="block" /></span></$link></span></$list>

<hr>

References: <br>

<$list filter="[!is[system]all[current]backlinks[]!tag[hide]!tag[outlines]sort[title]] -[is[current]]"><$link><$view field="title"/></$link>
<$reveal type="nomatch" stateTitle="TiddlyBlinkFoldData" stateIndex=<<currentTiddler>> text="show">
<$button class=<<tv-config-toolbar-class>> setTitle="TiddlyBlinkFoldData" setIndex=<<currentTiddler>> setTo="show">{{$:/core/images/unfold-button}}</$button><br/>
</$reveal>
<$reveal type="match" stateTitle="TiddlyBlinkFoldData" stateIndex=<<currentTiddler>> text="show">
<$button class=<<tv-config-toolbar-class>> setTitle="TiddlyBlinkFoldData" setIndex=<<currentTiddler>> setTo="hide">{{$:/core/images/fold-button}}</$button>
<span class="indent1">
<$link><span class="graybox">

<$transclude field="text" mode="block" /></span></$link></span>
</$reveal>
</$list>

\define button()
<$button class=<<tv-config-toolbar-class>> actions=<<actions>>>
{{$:/core/images/new-button}}
</$button>
\end

\define actions()
<$action-sendmessage $message="tm-new-tiddler" title=<<journalTitle>> text="""[[$(tid)$]]"""/>
\end

<$wikify name=tid text=<<currentTiddler>>>
<<button>>
</$wikify>

\whitespace trim

\define journalButtonActions()
<$action-sendmessage $message="tm-new-tiddler" title=<<now """$(journalTitleTemplate)$""">> text="""[[$(tid)$]]""" />
\end

\define journalButtonTags()
[[$(currentTiddlerTag)$]] $(journalTags)$
\end

\define journalButton()
<$button tooltip={{$:/language/Buttons/NewJournalHere/Hint}}
   aria-label={{$:/language/Buttons/NewJournalHere/Caption}}
   class=<<tv-config-toolbar-class>>
   actions=<<journalButtonActions>>>
   <$list filter="[<tv-config-toolbar-icons>match[yes]]">
      {{$:/core/images/timestamp-on}}
   </$list>
   <$list filter="[<tv-config-toolbar-text>match[yes]]">
      <span class="tc-btn-text">
         <$text text={{$:/language/Buttons/NewJournalHere/Caption}}/>
      </span>
   </$list>
</$button>
\end

<$set name="journalTitleTemplate" value={{$:/config/NewJournal/Title}}>
<$set name="tid" value=<<currentTiddler>>>
<<journalButton>>
</$set>
</$set>

\whitespace trim
\define config-title()
$:/config/ViewToolbarButtons/Visibility/$(listItem)$
\end
<$button popup=<<qualify "$:/state/popup/more">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass="tc-selected">
<$list filter="[<tv-config-toolbar-icons>match[yes]]">
{{$:/core/images/preview-open}}
</$list>
<$list filter="[<tv-config-toolbar-text>match[yes]]">
<span class="tc-btn-text">
<$text text=" "/>
<$text text={{$:/language/Buttons/More/Caption}}/>
</span>
</$list>
</$button>
<$reveal state=<<qualify "$:/state/popup/more">> type="popup" position="belowleft" animate="yes">

<div class="tc-drop-down">

<$set name="tv-config-toolbar-icons" value="yes">

<$set name="tv-config-toolbar-text" value="yes">

<$set name="tv-config-toolbar-class" value="tc-btn-invisible">

<$list filter="[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]] +[tag[refview]] -[[$:/core/ui/Buttons/more-tiddler-actions]]" variable="listItem">

<$reveal type="match" state=<<config-title>> text="hide">

<$set name="tv-config-toolbar-class" filter="[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]">

<$transclude tiddler=<<listItem>> mode="inline"/>

</$set>

</$reveal>

</$list>

</$set>

</$set>

</$set>

</div>

</$reveal>

\define tagreset() 
<$list filter="[tag[refs]sort[created]] -[[$(currentTiddler)$]]" variable="removeme">
<$action-listops  $tiddler=<<removeme>> $tags="+[remove[$:/tags/ViewTemplate]]"/>
</$list>
<$action-deletefield dummy/>
\end

<span style="font-size:12pt;">

<span class="graybox">

''View references as:''

<$list filter="[tag[refs]sort[created]]"><$list filter="[all[current]tag[$:/tags/ViewTemplate]]">
<$checkbox field=dummy checked="yes" unchecked="yes" default="yes"></$checkbox><$link><$view field="caption"/></$link></$list><$list filter="[all[current]!tag[$:/tags/ViewTemplate]]"><$checkbox tag="$:/tags/ViewTemplate" xinvertTag="yes" checkactions=<<tagreset>>/><$link><$view field="caption"/></$link> </$list></$list>

</span>

</span>


{{build-and-export}}

\define fold(heading, text)
<$button class="tc-btn-invisible" popup=<<qualify "$:/state/section$heading$">>>

$heading$
</$button>
<$reveal type="nomatch" state=<<qualify "$:/state/section$heading$">> text="">

$text$
</$reveal>
\end

\define list-search(
filter:"[tags[]]",
search:"search:title",
state:"$:/temp/list-search",
template:"$:/core/ui/ListItemTemplate",
placeholder:"Filter",
limit:100000
)
<div>
<$edit-text
tiddler="$state$"
type="search"
tag="input"
default=""
placeholder="$placeholder$"/>
</div>

<$reveal state="$state$" type="match" text="">
<$list filter="$filter$+[limit[$limit$]]" template="$template$"/>
</$reveal>

<$reveal state="$state$" type="nomatch" text="">
<$list filter="$filter$+[$search${$state$}]+[limit[$limit$]]" template="$template$"/>
</$reveal>
\end

Built from branch 'tiddlywiki-com' at commit 71a827eead948c959d3f8e4b243d28ded03db2c5 of https://github.com/Jermolene/TiddlyWiki5.git at 2020-05-06 08:53:29 UTC

0

Contents

yes

comptext

above

top

no

no

YYYY-0MM / 0DD / 0hh:0mm:0ss /

hide

show

show

show

show

show

show

show

show

show

show

show

hide

hide

show

hide

show

show

show

no

yes

yes

yes

no

yes

yes

tc-btn-rounded

no

hide

show

hide

hide

hide

hide

show

show

show

hide

hide

show

enable

{
    "tiddlers": {
        "$:/Acknowledgements": {
            "title": "$:/Acknowledgements",
            "text": "TiddlyWiki incorporates code from these fine OpenSource projects:\n\n* [[The Stanford Javascript Crypto Library|http://bitwiseshiftleft.github.io/sjcl/]]\n* [[The Jasmine JavaScript Test Framework|http://pivotal.github.io/jasmine/]]\n* [[Normalize.css by Nicolas Gallagher|http://necolas.github.io/normalize.css/]]\n\nAnd media from these projects:\n\n* World flag icons from [[Wikipedia|http://commons.wikimedia.org/wiki/Category:SVG_flags_by_country]]\n"
        },
        "$:/core/copyright.txt": {
            "title": "$:/core/copyright.txt",
            "type": "text/plain",
            "text": "TiddlyWiki created by Jeremy Ruston, (jeremy [at] jermolene [dot] com)\n\nCopyright (c) 2004-2007, Jeremy Ruston\nCopyright (c) 2007-2020, UnaMesa Association\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n* Redistributions of source code must retain the above copyright notice, this\n  list of conditions and the following disclaimer.\n\n* Redistributions in binary form must reproduce the above copyright notice,\n  this list of conditions and the following disclaimer in the documentation\n  and/or other materials provided with the distribution.\n\n* Neither the name of the copyright holder nor the names of its\n  contributors may be used to endorse or promote products derived from\n  this software without specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 'AS IS'\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE."
        },
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            "title": "$:/core/icon",
            "tags": "$:/tags/Image",
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            "tags": "$:/tags/Image",
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            "title": "$:/core/images/cancel-button",
            "tags": "$:/tags/Image",
            "text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-cancel-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M64 76.314l-16.97 16.97a7.999 7.999 0 01-11.314 0c-3.118-3.118-3.124-8.19 0-11.313L52.686 65l-16.97-16.97a7.999 7.999 0 010-11.314c3.118-3.118 8.19-3.124 11.313 0L64 53.686l16.97-16.97a7.999 7.999 0 0111.314 0c3.118 3.118 3.124 8.19 0 11.313L75.314 65l16.97 16.97a7.999 7.999 0 010 11.314c-3.118 3.118-8.19 3.124-11.313 0L64 76.314zM64 129c35.346 0 64-28.654 64-64 0-35.346-28.654-64-64-64C28.654 1 0 29.654 0 65c0 35.346 28.654 64 64 64zm0-16c26.51 0 48-21.49 48-48S90.51 17 64 17 16 38.49 16 65s21.49 48 48 48z\"/></svg>"
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            "title": "$:/core/images/chevron-down",
            "tags": "$:/tags/Image",
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            "title": "$:/core/images/chevron-left",
            "tags": "$:/tags/Image",
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        "$:/core/images/chevron-right": {
            "title": "$:/core/images/chevron-right",
            "tags": "$:/tags/Image",
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            "tags": "$:/tags/Image",
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            "tags": "$:/tags/Image",
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            "title": "$:/core/images/close-others-button",
            "tags": "$:/tags/Image",
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            "title": "$:/core/images/copy-clipboard",
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            "title": "$:/core/images/delete-button",
            "tags": "$:/tags/Image",
            "text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-delete-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\" transform=\"translate(12)\"><rect width=\"105\" height=\"16\" y=\"11\" rx=\"8\"/><rect width=\"48\" height=\"16\" x=\"28\" rx=\"8\"/><rect width=\"16\" height=\"112\" x=\"8\" y=\"16\" rx=\"8\"/><rect width=\"88\" height=\"16\" x=\"8\" y=\"112\" rx=\"8\"/><rect width=\"16\" height=\"112\" x=\"80\" y=\"16\" rx=\"8\"/><rect width=\"16\" height=\"112\" x=\"56\" y=\"16\" rx=\"8\"/><rect width=\"16\" height=\"112\" x=\"32\" y=\"16\" rx=\"8\"/></g></svg>"
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            "title": "$:/core/images/done-button",
            "tags": "$:/tags/Image",
            "text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-done-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M42.26 111.032c-2.051.001-4.103-.78-5.668-2.345L2.662 74.758a8 8 0 01-.005-11.32c3.118-3.117 8.192-3.12 11.32.007l28.278 28.278 72.124-72.124a8.002 8.002 0 0111.314-.001c3.118 3.118 3.124 8.19 0 11.315l-77.78 77.78a7.978 7.978 0 01-5.658 2.343z\"/></svg>"
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        "$:/core/images/down-arrow": {
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            "tags": "$:/tags/Image",
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        "$:/core/images/underline": {
            "title": "$:/core/images/underline",
            "tags": "$:/tags/Image",
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        "$:/core/images/unfold-button": {
            "title": "$:/core/images/unfold-button",
            "tags": "$:/tags/Image",
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        "$:/core/images/unlocked-padlock": {
            "title": "$:/core/images/unlocked-padlock",
            "tags": "$:/tags/Image",
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        },
        "$:/core/images/up-arrow": {
            "title": "$:/core/images/up-arrow",
            "created": "20150316000544368",
            "modified": "20150316000831867",
            "tags": "$:/tags/Image",
            "text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-up-arrow tc-image-button\" viewBox=\"0 0 128 128\"><path d=\"M63.892.281c2.027 0 4.054.77 5.6 2.316l55.98 55.98a7.92 7.92 0 010 11.196c-3.086 3.085-8.104 3.092-11.196 0L63.894 19.393 13.513 69.774a7.92 7.92 0 01-11.196 0c-3.085-3.086-3.092-8.105 0-11.196l55.98-55.98A7.892 7.892 0 0163.893.28z\"/></svg>"
        },
        "$:/core/images/video": {
            "title": "$:/core/images/video",
            "tags": "$:/tags/Image",
            "text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-video tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M64 12c-34.91 0-55.273 2.917-58.182 5.833C2.91 20.75 0 41.167 0 64.5c0 23.333 2.91 43.75 5.818 46.667C8.728 114.083 29.091 117 64 117c34.91 0 55.273-2.917 58.182-5.833C125.09 108.25 128 87.833 128 64.5c0-23.333-2.91-43.75-5.818-46.667C119.272 14.917 98.909 12 64 12zm-9.084 32.618c-3.813-2.542-6.905-.879-6.905 3.698v31.368c0 4.585 3.099 6.235 6.905 3.698l22.168-14.779c3.813-2.542 3.806-6.669 0-9.206L54.916 44.618z\"/></svg>"
        },
        "$:/core/images/warning": {
            "title": "$:/core/images/warning",
            "tags": "$:/tags/Image",
            "text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-warning tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M57.072 11c3.079-5.333 10.777-5.333 13.856 0l55.426 96c3.079 5.333-.77 12-6.928 12H8.574c-6.158 0-10.007-6.667-6.928-12l55.426-96zM64 37c-4.418 0-8 3.582-8 7.994v28.012C56 77.421 59.59 81 64 81c4.418 0 8-3.582 8-7.994V44.994C72 40.579 68.41 37 64 37zm0 67a8 8 0 100-16 8 8 0 000 16z\"/></svg>"
        },
        "$:/language/Buttons/AdvancedSearch/Caption": {
            "title": "$:/language/Buttons/AdvancedSearch/Caption",
            "text": "advanced search"
        },
        "$:/language/Buttons/AdvancedSearch/Hint": {
            "title": "$:/language/Buttons/AdvancedSearch/Hint",
            "text": "Advanced search"
        },
        "$:/language/Buttons/Cancel/Caption": {
            "title": "$:/language/Buttons/Cancel/Caption",
            "text": "cancel"
        },
        "$:/language/Buttons/Cancel/Hint": {
            "title": "$:/language/Buttons/Cancel/Hint",
            "text": "Discard changes to this tiddler"
        },
        "$:/language/Buttons/Clone/Caption": {
            "title": "$:/language/Buttons/Clone/Caption",
            "text": "clone"
        },
        "$:/language/Buttons/Clone/Hint": {
            "title": "$:/language/Buttons/Clone/Hint",
            "text": "Clone this tiddler"
        },
        "$:/language/Buttons/Close/Caption": {
            "title": "$:/language/Buttons/Close/Caption",
            "text": "close"
        },
        "$:/language/Buttons/Close/Hint": {
            "title": "$:/language/Buttons/Close/Hint",
            "text": "Close this tiddler"
        },
        "$:/language/Buttons/CloseAll/Caption": {
            "title": "$:/language/Buttons/CloseAll/Caption",
            "text": "close all"
        },
        "$:/language/Buttons/CloseAll/Hint": {
            "title": "$:/language/Buttons/CloseAll/Hint",
            "text": "Close all tiddlers"
        },
        "$:/language/Buttons/CloseOthers/Caption": {
            "title": "$:/language/Buttons/CloseOthers/Caption",
            "text": "close others"
        },
        "$:/language/Buttons/CloseOthers/Hint": {
            "title": "$:/language/Buttons/CloseOthers/Hint",
            "text": "Close other tiddlers"
        },
        "$:/language/Buttons/ControlPanel/Caption": {
            "title": "$:/language/Buttons/ControlPanel/Caption",
            "text": "control panel"
        },
        "$:/language/Buttons/ControlPanel/Hint": {
            "title": "$:/language/Buttons/ControlPanel/Hint",
            "text": "Open control panel"
        },
        "$:/language/Buttons/CopyToClipboard/Caption": {
            "title": "$:/language/Buttons/CopyToClipboard/Caption",
            "text": "copy to clipboard"
        },
        "$:/language/Buttons/CopyToClipboard/Hint": {
            "title": "$:/language/Buttons/CopyToClipboard/Hint",
            "text": "Copy this text to the clipboard"
        },
        "$:/language/Buttons/Delete/Caption": {
            "title": "$:/language/Buttons/Delete/Caption",
            "text": "delete"
        },
        "$:/language/Buttons/Delete/Hint": {
            "title": "$:/language/Buttons/Delete/Hint",
            "text": "Delete this tiddler"
        },
        "$:/language/Buttons/Edit/Caption": {
            "title": "$:/language/Buttons/Edit/Caption",
            "text": "edit"
        },
        "$:/language/Buttons/Edit/Hint": {
            "title": "$:/language/Buttons/Edit/Hint",
            "text": "Edit this tiddler"
        },
        "$:/language/Buttons/Encryption/Caption": {
            "title": "$:/language/Buttons/Encryption/Caption",
            "text": "encryption"
        },
        "$:/language/Buttons/Encryption/Hint": {
            "title": "$:/language/Buttons/Encryption/Hint",
            "text": "Set or clear a password for saving this wiki"
        },
        "$:/language/Buttons/Encryption/ClearPassword/Caption": {
            "title": "$:/language/Buttons/Encryption/ClearPassword/Caption",
            "text": "clear password"
        },
        "$:/language/Buttons/Encryption/ClearPassword/Hint": {
            "title": "$:/language/Buttons/Encryption/ClearPassword/Hint",
            "text": "Clear the password and save this wiki without encryption"
        },
        "$:/language/Buttons/Encryption/SetPassword/Caption": {
            "title": "$:/language/Buttons/Encryption/SetPassword/Caption",
            "text": "set password"
        },
        "$:/language/Buttons/Encryption/SetPassword/Hint": {
            "title": "$:/language/Buttons/Encryption/SetPassword/Hint",
            "text": "Set a password for saving this wiki with encryption"
        },
        "$:/language/Buttons/ExportPage/Caption": {
            "title": "$:/language/Buttons/ExportPage/Caption",
            "text": "export all"
        },
        "$:/language/Buttons/ExportPage/Hint": {
            "title": "$:/language/Buttons/ExportPage/Hint",
            "text": "Export all tiddlers"
        },
        "$:/language/Buttons/ExportTiddler/Caption": {
            "title": "$:/language/Buttons/ExportTiddler/Caption",
            "text": "export tiddler"
        },
        "$:/language/Buttons/ExportTiddler/Hint": {
            "title": "$:/language/Buttons/ExportTiddler/Hint",
            "text": "Export tiddler"
        },
        "$:/language/Buttons/ExportTiddlers/Caption": {
            "title": "$:/language/Buttons/ExportTiddlers/Caption",
            "text": "export tiddlers"
        },
        "$:/language/Buttons/ExportTiddlers/Hint": {
            "title": "$:/language/Buttons/ExportTiddlers/Hint",
            "text": "Export tiddlers"
        },
        "$:/language/Buttons/SidebarSearch/Hint": {
            "title": "$:/language/Buttons/SidebarSearch/Hint",
            "text": "Select the sidebar search field"
        },
        "$:/language/Buttons/Fold/Caption": {
            "title": "$:/language/Buttons/Fold/Caption",
            "text": "fold tiddler"
        },
        "$:/language/Buttons/Fold/Hint": {
            "title": "$:/language/Buttons/Fold/Hint",
            "text": "Fold the body of this tiddler"
        },
        "$:/language/Buttons/Fold/FoldBar/Caption": {
            "title": "$:/language/Buttons/Fold/FoldBar/Caption",
            "text": "fold-bar"
        },
        "$:/language/Buttons/Fold/FoldBar/Hint": {
            "title": "$:/language/Buttons/Fold/FoldBar/Hint",
            "text": "Optional bars to fold and unfold tiddlers"
        },
        "$:/language/Buttons/Unfold/Caption": {
            "title": "$:/language/Buttons/Unfold/Caption",
            "text": "unfold tiddler"
        },
        "$:/language/Buttons/Unfold/Hint": {
            "title": "$:/language/Buttons/Unfold/Hint",
            "text": "Unfold the body of this tiddler"
        },
        "$:/language/Buttons/FoldOthers/Caption": {
            "title": "$:/language/Buttons/FoldOthers/Caption",
            "text": "fold other tiddlers"
        },
        "$:/language/Buttons/FoldOthers/Hint": {
            "title": "$:/language/Buttons/FoldOthers/Hint",
            "text": "Fold the bodies of other opened tiddlers"
        },
        "$:/language/Buttons/FoldAll/Caption": {
            "title": "$:/language/Buttons/FoldAll/Caption",
            "text": "fold all tiddlers"
        },
        "$:/language/Buttons/FoldAll/Hint": {
            "title": "$:/language/Buttons/FoldAll/Hint",
            "text": "Fold the bodies of all opened tiddlers"
        },
        "$:/language/Buttons/UnfoldAll/Caption": {
            "title": "$:/language/Buttons/UnfoldAll/Caption",
            "text": "unfold all tiddlers"
        },
        "$:/language/Buttons/UnfoldAll/Hint": {
            "title": "$:/language/Buttons/UnfoldAll/Hint",
            "text": "Unfold the bodies of all opened tiddlers"
        },
        "$:/language/Buttons/FullScreen/Caption": {
            "title": "$:/language/Buttons/FullScreen/Caption",
            "text": "full-screen"
        },
        "$:/language/Buttons/FullScreen/Hint": {
            "title": "$:/language/Buttons/FullScreen/Hint",
            "text": "Enter or leave full-screen mode"
        },
        "$:/language/Buttons/Help/Caption": {
            "title": "$:/language/Buttons/Help/Caption",
            "text": "help"
        },
        "$:/language/Buttons/Help/Hint": {
            "title": "$:/language/Buttons/Help/Hint",
            "text": "Show help panel"
        },
        "$:/language/Buttons/Import/Caption": {
            "title": "$:/language/Buttons/Import/Caption",
            "text": "import"
        },
        "$:/language/Buttons/Import/Hint": {
            "title": "$:/language/Buttons/Import/Hint",
            "text": "Import many types of file including text, image, TiddlyWiki or JSON"
        },
        "$:/language/Buttons/Info/Caption": {
            "title": "$:/language/Buttons/Info/Caption",
            "text": "info"
        },
        "$:/language/Buttons/Info/Hint": {
            "title": "$:/language/Buttons/Info/Hint",
            "text": "Show information for this tiddler"
        },
        "$:/language/Buttons/Home/Caption": {
            "title": "$:/language/Buttons/Home/Caption",
            "text": "home"
        },
        "$:/language/Buttons/Home/Hint": {
            "title": "$:/language/Buttons/Home/Hint",
            "text": "Open the default tiddlers"
        },
        "$:/language/Buttons/Language/Caption": {
            "title": "$:/language/Buttons/Language/Caption",
            "text": "language"
        },
        "$:/language/Buttons/Language/Hint": {
            "title": "$:/language/Buttons/Language/Hint",
            "text": "Choose the user interface language"
        },
        "$:/language/Buttons/Manager/Caption": {
            "title": "$:/language/Buttons/Manager/Caption",
            "text": "tiddler manager"
        },
        "$:/language/Buttons/Manager/Hint": {
            "title": "$:/language/Buttons/Manager/Hint",
            "text": "Open tiddler manager"
        },
        "$:/language/Buttons/More/Caption": {
            "title": "$:/language/Buttons/More/Caption",
            "text": "more"
        },
        "$:/language/Buttons/More/Hint": {
            "title": "$:/language/Buttons/More/Hint",
            "text": "More actions"
        },
        "$:/language/Buttons/NewHere/Caption": {
            "title": "$:/language/Buttons/NewHere/Caption",
            "text": "new here"
        },
        "$:/language/Buttons/NewHere/Hint": {
            "title": "$:/language/Buttons/NewHere/Hint",
            "text": "Create a new tiddler tagged with this one"
        },
        "$:/language/Buttons/NewJournal/Caption": {
            "title": "$:/language/Buttons/NewJournal/Caption",
            "text": "new journal"
        },
        "$:/language/Buttons/NewJournal/Hint": {
            "title": "$:/language/Buttons/NewJournal/Hint",
            "text": "Create a new journal tiddler"
        },
        "$:/language/Buttons/NewJournalHere/Caption": {
            "title": "$:/language/Buttons/NewJournalHere/Caption",
            "text": "new journal here"
        },
        "$:/language/Buttons/NewJournalHere/Hint": {
            "title": "$:/language/Buttons/NewJournalHere/Hint",
            "text": "Create a new journal tiddler tagged with this one"
        },
        "$:/language/Buttons/NewImage/Caption": {
            "title": "$:/language/Buttons/NewImage/Caption",
            "text": "new image"
        },
        "$:/language/Buttons/NewImage/Hint": {
            "title": "$:/language/Buttons/NewImage/Hint",
            "text": "Create a new image tiddler"
        },
        "$:/language/Buttons/NewMarkdown/Caption": {
            "title": "$:/language/Buttons/NewMarkdown/Caption",
            "text": "new Markdown tiddler"
        },
        "$:/language/Buttons/NewMarkdown/Hint": {
            "title": "$:/language/Buttons/NewMarkdown/Hint",
            "text": "Create a new Markdown tiddler"
        },
        "$:/language/Buttons/NewTiddler/Caption": {
            "title": "$:/language/Buttons/NewTiddler/Caption",
            "text": "new tiddler"
        },
        "$:/language/Buttons/NewTiddler/Hint": {
            "title": "$:/language/Buttons/NewTiddler/Hint",
            "text": "Create a new tiddler"
        },
        "$:/language/Buttons/OpenWindow/Caption": {
            "title": "$:/language/Buttons/OpenWindow/Caption",
            "text": "open in new window"
        },
        "$:/language/Buttons/OpenWindow/Hint": {
            "title": "$:/language/Buttons/OpenWindow/Hint",
            "text": "Open tiddler in new window"
        },
        "$:/language/Buttons/Palette/Caption": {
            "title": "$:/language/Buttons/Palette/Caption",
            "text": "palette"
        },
        "$:/language/Buttons/Palette/Hint": {
            "title": "$:/language/Buttons/Palette/Hint",
            "text": "Choose the colour palette"
        },
        "$:/language/Buttons/Permalink/Caption": {
            "title": "$:/language/Buttons/Permalink/Caption",
            "text": "permalink"
        },
        "$:/language/Buttons/Permalink/Hint": {
            "title": "$:/language/Buttons/Permalink/Hint",
            "text": "Set browser address bar to a direct link to this tiddler"
        },
        "$:/language/Buttons/Permaview/Caption": {
            "title": "$:/language/Buttons/Permaview/Caption",
            "text": "permaview"
        },
        "$:/language/Buttons/Permaview/Hint": {
            "title": "$:/language/Buttons/Permaview/Hint",
            "text": "Set browser address bar to a direct link to all the tiddlers in this story"
        },
        "$:/language/Buttons/Print/Caption": {
            "title": "$:/language/Buttons/Print/Caption",
            "text": "print page"
        },
        "$:/language/Buttons/Print/Hint": {
            "title": "$:/language/Buttons/Print/Hint",
            "text": "Print the current page"
        },
        "$:/language/Buttons/Refresh/Caption": {
            "title": "$:/language/Buttons/Refresh/Caption",
            "text": "refresh"
        },
        "$:/language/Buttons/Refresh/Hint": {
            "title": "$:/language/Buttons/Refresh/Hint",
            "text": "Perform a full refresh of the wiki"
        },
        "$:/language/Buttons/Save/Caption": {
            "title": "$:/language/Buttons/Save/Caption",
            "text": "ok"
        },
        "$:/language/Buttons/Save/Hint": {
            "title": "$:/language/Buttons/Save/Hint",
            "text": "Confirm changes to this tiddler"
        },
        "$:/language/Buttons/SaveWiki/Caption": {
            "title": "$:/language/Buttons/SaveWiki/Caption",
            "text": "save changes"
        },
        "$:/language/Buttons/SaveWiki/Hint": {
            "title": "$:/language/Buttons/SaveWiki/Hint",
            "text": "Save changes"
        },
        "$:/language/Buttons/StoryView/Caption": {
            "title": "$:/language/Buttons/StoryView/Caption",
            "text": "storyview"
        },
        "$:/language/Buttons/StoryView/Hint": {
            "title": "$:/language/Buttons/StoryView/Hint",
            "text": "Choose the story visualisation"
        },
        "$:/language/Buttons/HideSideBar/Caption": {
            "title": "$:/language/Buttons/HideSideBar/Caption",
            "text": "hide sidebar"
        },
        "$:/language/Buttons/HideSideBar/Hint": {
            "title": "$:/language/Buttons/HideSideBar/Hint",
            "text": "Hide sidebar"
        },
        "$:/language/Buttons/ShowSideBar/Caption": {
            "title": "$:/language/Buttons/ShowSideBar/Caption",
            "text": "show sidebar"
        },
        "$:/language/Buttons/ShowSideBar/Hint": {
            "title": "$:/language/Buttons/ShowSideBar/Hint",
            "text": "Show sidebar"
        },
        "$:/language/Buttons/TagManager/Caption": {
            "title": "$:/language/Buttons/TagManager/Caption",
            "text": "tag manager"
        },
        "$:/language/Buttons/TagManager/Hint": {
            "title": "$:/language/Buttons/TagManager/Hint",
            "text": "Open tag manager"
        },
        "$:/language/Buttons/Timestamp/Caption": {
            "title": "$:/language/Buttons/Timestamp/Caption",
            "text": "timestamps"
        },
        "$:/language/Buttons/Timestamp/Hint": {
            "title": "$:/language/Buttons/Timestamp/Hint",
            "text": "Choose whether modifications update timestamps"
        },
        "$:/language/Buttons/Timestamp/On/Caption": {
            "title": "$:/language/Buttons/Timestamp/On/Caption",
            "text": "timestamps are on"
        },
        "$:/language/Buttons/Timestamp/On/Hint": {
            "title": "$:/language/Buttons/Timestamp/On/Hint",
            "text": "Update timestamps when tiddlers are modified"
        },
        "$:/language/Buttons/Timestamp/Off/Caption": {
            "title": "$:/language/Buttons/Timestamp/Off/Caption",
            "text": "timestamps are off"
        },
        "$:/language/Buttons/Timestamp/Off/Hint": {
            "title": "$:/language/Buttons/Timestamp/Off/Hint",
            "text": "Don't update timestamps when tiddlers are modified"
        },
        "$:/language/Buttons/Theme/Caption": {
            "title": "$:/language/Buttons/Theme/Caption",
            "text": "theme"
        },
        "$:/language/Buttons/Theme/Hint": {
            "title": "$:/language/Buttons/Theme/Hint",
            "text": "Choose the display theme"
        },
        "$:/language/Buttons/Bold/Caption": {
            "title": "$:/language/Buttons/Bold/Caption",
            "text": "bold"
        },
        "$:/language/Buttons/Bold/Hint": {
            "title": "$:/language/Buttons/Bold/Hint",
            "text": "Apply bold formatting to selection"
        },
        "$:/language/Buttons/Clear/Caption": {
            "title": "$:/language/Buttons/Clear/Caption",
            "text": "clear"
        },
        "$:/language/Buttons/Clear/Hint": {
            "title": "$:/language/Buttons/Clear/Hint",
            "text": "Clear image to solid colour"
        },
        "$:/language/Buttons/EditorHeight/Caption": {
            "title": "$:/language/Buttons/EditorHeight/Caption",
            "text": "editor height"
        },
        "$:/language/Buttons/EditorHeight/Caption/Auto": {
            "title": "$:/language/Buttons/EditorHeight/Caption/Auto",
            "text": "Automatically adjust height to fit content"
        },
        "$:/language/Buttons/EditorHeight/Caption/Fixed": {
            "title": "$:/language/Buttons/EditorHeight/Caption/Fixed",
            "text": "Fixed height:"
        },
        "$:/language/Buttons/EditorHeight/Hint": {
            "title": "$:/language/Buttons/EditorHeight/Hint",
            "text": "Choose the height of the text editor"
        },
        "$:/language/Buttons/Excise/Caption": {
            "title": "$:/language/Buttons/Excise/Caption",
            "text": "excise"
        },
        "$:/language/Buttons/Excise/Caption/Excise": {
            "title": "$:/language/Buttons/Excise/Caption/Excise",
            "text": "Perform excision"
        },
        "$:/language/Buttons/Excise/Caption/MacroName": {
            "title": "$:/language/Buttons/Excise/Caption/MacroName",
            "text": "Macro name:"
        },
        "$:/language/Buttons/Excise/Caption/NewTitle": {
            "title": "$:/language/Buttons/Excise/Caption/NewTitle",
            "text": "Title of new tiddler:"
        },
        "$:/language/Buttons/Excise/Caption/Replace": {
            "title": "$:/language/Buttons/Excise/Caption/Replace",
            "text": "Replace excised text with:"
        },
        "$:/language/Buttons/Excise/Caption/Replace/Macro": {
            "title": "$:/language/Buttons/Excise/Caption/Replace/Macro",
            "text": "macro"
        },
        "$:/language/Buttons/Excise/Caption/Replace/Link": {
            "title": "$:/language/Buttons/Excise/Caption/Replace/Link",
            "text": "link"
        },
        "$:/language/Buttons/Excise/Caption/Replace/Transclusion": {
            "title": "$:/language/Buttons/Excise/Caption/Replace/Transclusion",
            "text": "transclusion"
        },
        "$:/language/Buttons/Excise/Caption/Tag": {
            "title": "$:/language/Buttons/Excise/Caption/Tag",
            "text": "Tag new tiddler with the title of this tiddler"
        },
        "$:/language/Buttons/Excise/Caption/TiddlerExists": {
            "title": "$:/language/Buttons/Excise/Caption/TiddlerExists",
            "text": "Warning: tiddler already exists"
        },
        "$:/language/Buttons/Excise/Hint": {
            "title": "$:/language/Buttons/Excise/Hint",
            "text": "Excise the selected text into a new tiddler"
        },
        "$:/language/Buttons/Heading1/Caption": {
            "title": "$:/language/Buttons/Heading1/Caption",
            "text": "heading 1"
        },
        "$:/language/Buttons/Heading1/Hint": {
            "title": "$:/language/Buttons/Heading1/Hint",
            "text": "Apply heading level 1 formatting to lines containing selection"
        },
        "$:/language/Buttons/Heading2/Caption": {
            "title": "$:/language/Buttons/Heading2/Caption",
            "text": "heading 2"
        },
        "$:/language/Buttons/Heading2/Hint": {
            "title": "$:/language/Buttons/Heading2/Hint",
            "text": "Apply heading level 2 formatting to lines containing selection"
        },
        "$:/language/Buttons/Heading3/Caption": {
            "title": "$:/language/Buttons/Heading3/Caption",
            "text": "heading 3"
        },
        "$:/language/Buttons/Heading3/Hint": {
            "title": "$:/language/Buttons/Heading3/Hint",
            "text": "Apply heading level 3 formatting to lines containing selection"
        },
        "$:/language/Buttons/Heading4/Caption": {
            "title": "$:/language/Buttons/Heading4/Caption",
            "text": "heading 4"
        },
        "$:/language/Buttons/Heading4/Hint": {
            "title": "$:/language/Buttons/Heading4/Hint",
            "text": "Apply heading level 4 formatting to lines containing selection"
        },
        "$:/language/Buttons/Heading5/Caption": {
            "title": "$:/language/Buttons/Heading5/Caption",
            "text": "heading 5"
        },
        "$:/language/Buttons/Heading5/Hint": {
            "title": "$:/language/Buttons/Heading5/Hint",
            "text": "Apply heading level 5 formatting to lines containing selection"
        },
        "$:/language/Buttons/Heading6/Caption": {
            "title": "$:/language/Buttons/Heading6/Caption",
            "text": "heading 6"
        },
        "$:/language/Buttons/Heading6/Hint": {
            "title": "$:/language/Buttons/Heading6/Hint",
            "text": "Apply heading level 6 formatting to lines containing selection"
        },
        "$:/language/Buttons/Italic/Caption": {
            "title": "$:/language/Buttons/Italic/Caption",
            "text": "italic"
        },
        "$:/language/Buttons/Italic/Hint": {
            "title": "$:/language/Buttons/Italic/Hint",
            "text": "Apply italic formatting to selection"
        },
        "$:/language/Buttons/LineWidth/Caption": {
            "title": "$:/language/Buttons/LineWidth/Caption",
            "text": "line width"
        },
        "$:/language/Buttons/LineWidth/Hint": {
            "title": "$:/language/Buttons/LineWidth/Hint",
            "text": "Set line width for painting"
        },
        "$:/language/Buttons/Link/Caption": {
            "title": "$:/language/Buttons/Link/Caption",
            "text": "link"
        },
        "$:/language/Buttons/Link/Hint": {
            "title": "$:/language/Buttons/Link/Hint",
            "text": "Create wikitext link"
        },
        "$:/language/Buttons/Linkify/Caption": {
            "title": "$:/language/Buttons/Linkify/Caption",
            "text": "wikilink"
        },
        "$:/language/Buttons/Linkify/Hint": {
            "title": "$:/language/Buttons/Linkify/Hint",
            "text": "Wrap selection in square brackets"
        },
        "$:/language/Buttons/ListBullet/Caption": {
            "title": "$:/language/Buttons/ListBullet/Caption",
            "text": "bulleted list"
        },
        "$:/language/Buttons/ListBullet/Hint": {
            "title": "$:/language/Buttons/ListBullet/Hint",
            "text": "Apply bulleted list formatting to lines containing selection"
        },
        "$:/language/Buttons/ListNumber/Caption": {
            "title": "$:/language/Buttons/ListNumber/Caption",
            "text": "numbered list"
        },
        "$:/language/Buttons/ListNumber/Hint": {
            "title": "$:/language/Buttons/ListNumber/Hint",
            "text": "Apply numbered list formatting to lines containing selection"
        },
        "$:/language/Buttons/MonoBlock/Caption": {
            "title": "$:/language/Buttons/MonoBlock/Caption",
            "text": "monospaced block"
        },
        "$:/language/Buttons/MonoBlock/Hint": {
            "title": "$:/language/Buttons/MonoBlock/Hint",
            "text": "Apply monospaced block formatting to lines containing selection"
        },
        "$:/language/Buttons/MonoLine/Caption": {
            "title": "$:/language/Buttons/MonoLine/Caption",
            "text": "monospaced"
        },
        "$:/language/Buttons/MonoLine/Hint": {
            "title": "$:/language/Buttons/MonoLine/Hint",
            "text": "Apply monospaced character formatting to selection"
        },
        "$:/language/Buttons/Opacity/Caption": {
            "title": "$:/language/Buttons/Opacity/Caption",
            "text": "opacity"
        },
        "$:/language/Buttons/Opacity/Hint": {
            "title": "$:/language/Buttons/Opacity/Hint",
            "text": "Set painting opacity"
        },
        "$:/language/Buttons/Paint/Caption": {
            "title": "$:/language/Buttons/Paint/Caption",
            "text": "paint colour"
        },
        "$:/language/Buttons/Paint/Hint": {
            "title": "$:/language/Buttons/Paint/Hint",
            "text": "Set painting colour"
        },
        "$:/language/Buttons/Picture/Caption": {
            "title": "$:/language/Buttons/Picture/Caption",
            "text": "picture"
        },
        "$:/language/Buttons/Picture/Hint": {
            "title": "$:/language/Buttons/Picture/Hint",
            "text": "Insert picture"
        },
        "$:/language/Buttons/Preview/Caption": {
            "title": "$:/language/Buttons/Preview/Caption",
            "text": "preview"
        },
        "$:/language/Buttons/Preview/Hint": {
            "title": "$:/language/Buttons/Preview/Hint",
            "text": "Show preview pane"
        },
        "$:/language/Buttons/PreviewType/Caption": {
            "title": "$:/language/Buttons/PreviewType/Caption",
            "text": "preview type"
        },
        "$:/language/Buttons/PreviewType/Hint": {
            "title": "$:/language/Buttons/PreviewType/Hint",
            "text": "Choose preview type"
        },
        "$:/language/Buttons/Quote/Caption": {
            "title": "$:/language/Buttons/Quote/Caption",
            "text": "quote"
        },
        "$:/language/Buttons/Quote/Hint": {
            "title": "$:/language/Buttons/Quote/Hint",
            "text": "Apply quoted text formatting to lines containing selection"
        },
        "$:/language/Buttons/RotateLeft/Caption": {
            "title": "$:/language/Buttons/RotateLeft/Caption",
            "text": "rotate left"
        },
        "$:/language/Buttons/RotateLeft/Hint": {
            "title": "$:/language/Buttons/RotateLeft/Hint",
            "text": "Rotate image left by 90 degrees"
        },
        "$:/language/Buttons/Size/Caption": {
            "title": "$:/language/Buttons/Size/Caption",
            "text": "image size"
        },
        "$:/language/Buttons/Size/Caption/Height": {
            "title": "$:/language/Buttons/Size/Caption/Height",
            "text": "Height:"
        },
        "$:/language/Buttons/Size/Caption/Resize": {
            "title": "$:/language/Buttons/Size/Caption/Resize",
            "text": "Resize image"
        },
        "$:/language/Buttons/Size/Caption/Width": {
            "title": "$:/language/Buttons/Size/Caption/Width",
            "text": "Width:"
        },
        "$:/language/Buttons/Size/Hint": {
            "title": "$:/language/Buttons/Size/Hint",
            "text": "Set image size"
        },
        "$:/language/Buttons/Stamp/Caption": {
            "title": "$:/language/Buttons/Stamp/Caption",
            "text": "stamp"
        },
        "$:/language/Buttons/Stamp/Caption/New": {
            "title": "$:/language/Buttons/Stamp/Caption/New",
            "text": "Add your own"
        },
        "$:/language/Buttons/Stamp/Hint": {
            "title": "$:/language/Buttons/Stamp/Hint",
            "text": "Insert a preconfigured snippet of text"
        },
        "$:/language/Buttons/Stamp/New/Title": {
            "title": "$:/language/Buttons/Stamp/New/Title",
            "text": "Name as shown in menu"
        },
        "$:/language/Buttons/Stamp/New/Text": {
            "title": "$:/language/Buttons/Stamp/New/Text",
            "text": "Text of snippet. (Remember to add a descriptive title in the caption field)."
        },
        "$:/language/Buttons/Strikethrough/Caption": {
            "title": "$:/language/Buttons/Strikethrough/Caption",
            "text": "strikethrough"
        },
        "$:/language/Buttons/Strikethrough/Hint": {
            "title": "$:/language/Buttons/Strikethrough/Hint",
            "text": "Apply strikethrough formatting to selection"
        },
        "$:/language/Buttons/Subscript/Caption": {
            "title": "$:/language/Buttons/Subscript/Caption",
            "text": "subscript"
        },
        "$:/language/Buttons/Subscript/Hint": {
            "title": "$:/language/Buttons/Subscript/Hint",
            "text": "Apply subscript formatting to selection"
        },
        "$:/language/Buttons/Superscript/Caption": {
            "title": "$:/language/Buttons/Superscript/Caption",
            "text": "superscript"
        },
        "$:/language/Buttons/Superscript/Hint": {
            "title": "$:/language/Buttons/Superscript/Hint",
            "text": "Apply superscript formatting to selection"
        },
        "$:/language/Buttons/ToggleSidebar/Hint": {
            "title": "$:/language/Buttons/ToggleSidebar/Hint",
            "text": "Toggle the sidebar visibility"
        },
        "$:/language/Buttons/Transcludify/Caption": {
            "title": "$:/language/Buttons/Transcludify/Caption",
            "text": "transclusion"
        },
        "$:/language/Buttons/Transcludify/Hint": {
            "title": "$:/language/Buttons/Transcludify/Hint",
            "text": "Wrap selection in curly brackets"
        },
        "$:/language/Buttons/Underline/Caption": {
            "title": "$:/language/Buttons/Underline/Caption",
            "text": "underline"
        },
        "$:/language/Buttons/Underline/Hint": {
            "title": "$:/language/Buttons/Underline/Hint",
            "text": "Apply underline formatting to selection"
        },
        "$:/language/ControlPanel/Advanced/Caption": {
            "title": "$:/language/ControlPanel/Advanced/Caption",
            "text": "Advanced"
        },
        "$:/language/ControlPanel/Advanced/Hint": {
            "title": "$:/language/ControlPanel/Advanced/Hint",
            "text": "Internal information about this TiddlyWiki"
        },
        "$:/language/ControlPanel/Appearance/Caption": {
            "title": "$:/language/ControlPanel/Appearance/Caption",
            "text": "Appearance"
        },
        "$:/language/ControlPanel/Appearance/Hint": {
            "title": "$:/language/ControlPanel/Appearance/Hint",
            "text": "Ways to customise the appearance of your TiddlyWiki."
        },
        "$:/language/ControlPanel/Basics/AnimDuration/Prompt": {
            "title": "$:/language/ControlPanel/Basics/AnimDuration/Prompt",
            "text": "Animation duration"
        },
        "$:/language/ControlPanel/Basics/AutoFocus/Prompt": {
            "title": "$:/language/ControlPanel/Basics/AutoFocus/Prompt",
            "text": "Default focus field for new tiddlers"
        },
        "$:/language/ControlPanel/Basics/Caption": {
            "title": "$:/language/ControlPanel/Basics/Caption",
            "text": "Basics"
        },
        "$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint": {
            "title": "$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint",
            "text": "Use &#91;&#91;double square brackets&#93;&#93; for titles with spaces. Or you can choose to <$button set=\"$:/DefaultTiddlers\" setTo=\"[list[$:/StoryList]]\">retain story ordering</$button>"
        },
        "$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt": {
            "title": "$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt",
            "text": "Default tiddlers"
        },
        "$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint": {
            "title": "$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint",
            "text": "Choose which tiddlers are displayed at startup"
        },
        "$:/language/ControlPanel/Basics/Language/Prompt": {
            "title": "$:/language/ControlPanel/Basics/Language/Prompt",
            "text": "Hello! Current language:"
        },
        "$:/language/ControlPanel/Basics/NewJournal/Title/Prompt": {
            "title": "$:/language/ControlPanel/Basics/NewJournal/Title/Prompt",
            "text": "Title of new journal tiddlers"
        },
        "$:/language/ControlPanel/Basics/NewJournal/Text/Prompt": {
            "title": "$:/language/ControlPanel/Basics/NewJournal/Text/Prompt",
            "text": "Text for new journal tiddlers"
        },
        "$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt": {
            "title": "$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt",
            "text": "Tags for new journal tiddlers"
        },
        "$:/language/ControlPanel/Basics/NewTiddler/Title/Prompt": {
            "title": "$:/language/ControlPanel/Basics/NewTiddler/Title/Prompt",
            "text": "Title of new tiddlers"
        },
        "$:/language/ControlPanel/Basics/NewTiddler/Tags/Prompt": {
            "title": "$:/language/ControlPanel/Basics/NewTiddler/Tags/Prompt",
            "text": "Tags for new tiddlers"
        },
        "$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt": {
            "title": "$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt",
            "text": "Number of overridden shadow tiddlers"
        },
        "$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt": {
            "title": "$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt",
            "text": "Number of shadow tiddlers"
        },
        "$:/language/ControlPanel/Basics/Subtitle/Prompt": {
            "title": "$:/language/ControlPanel/Basics/Subtitle/Prompt",
            "text": "Subtitle"
        },
        "$:/language/ControlPanel/Basics/SystemTiddlers/Prompt": {
            "title": "$:/language/ControlPanel/Basics/SystemTiddlers/Prompt",
            "text": "Number of system tiddlers"
        },
        "$:/language/ControlPanel/Basics/Tags/Prompt": {
            "title": "$:/language/ControlPanel/Basics/Tags/Prompt",
            "text": "Number of tags"
        },
        "$:/language/ControlPanel/Basics/Tiddlers/Prompt": {
            "title": "$:/language/ControlPanel/Basics/Tiddlers/Prompt",
            "text": "Number of tiddlers"
        },
        "$:/language/ControlPanel/Basics/Title/Prompt": {
            "title": "$:/language/ControlPanel/Basics/Title/Prompt",
            "text": "Title of this ~TiddlyWiki"
        },
        "$:/language/ControlPanel/Basics/Username/Prompt": {
            "title": "$:/language/ControlPanel/Basics/Username/Prompt",
            "text": "Username for signing edits"
        },
        "$:/language/ControlPanel/Basics/Version/Prompt": {
            "title": "$:/language/ControlPanel/Basics/Version/Prompt",
            "text": "~TiddlyWiki version"
        },
        "$:/language/ControlPanel/EditorTypes/Caption": {
            "title": "$:/language/ControlPanel/EditorTypes/Caption",
            "text": "Editor Types"
        },
        "$:/language/ControlPanel/EditorTypes/Editor/Caption": {
            "title": "$:/language/ControlPanel/EditorTypes/Editor/Caption",
            "text": "Editor"
        },
        "$:/language/ControlPanel/EditorTypes/Hint": {
            "title": "$:/language/ControlPanel/EditorTypes/Hint",
            "text": "These tiddlers determine which editor is used to edit specific tiddler types."
        },
        "$:/language/ControlPanel/EditorTypes/Type/Caption": {
            "title": "$:/language/ControlPanel/EditorTypes/Type/Caption",
            "text": "Type"
        },
        "$:/language/ControlPanel/Info/Caption": {
            "title": "$:/language/ControlPanel/Info/Caption",
            "text": "Info"
        },
        "$:/language/ControlPanel/Info/Hint": {
            "title": "$:/language/ControlPanel/Info/Hint",
            "text": "Information about this TiddlyWiki"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt",
            "text": "Type shortcut here"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Add/Caption": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Add/Caption",
            "text": "add shortcut"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Caption": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Caption",
            "text": "Keyboard Shortcuts"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Hint": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Hint",
            "text": "Manage keyboard shortcut assignments"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption",
            "text": "No keyboard shortcuts assigned"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint",
            "text": "remove keyboard shortcut"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Platform/All": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/All",
            "text": "All platforms"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac",
            "text": "Macintosh platform only"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac",
            "text": "Non-Macintosh platforms only"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux",
            "text": "Linux platform only"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux",
            "text": "Non-Linux platforms only"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows",
            "text": "Windows platform only"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows",
            "text": "Non-Windows platforms only"
        },
        "$:/language/ControlPanel/LoadedModules/Caption": {
            "title": "$:/language/ControlPanel/LoadedModules/Caption",
            "text": "Loaded Modules"
        },
        "$:/language/ControlPanel/LoadedModules/Hint": {
            "title": "$:/language/ControlPanel/LoadedModules/Hint",
            "text": "These are the currently loaded tiddler modules linked to their source tiddlers. Any italicised modules lack a source tiddler, typically because they were setup during the boot process."
        },
        "$:/language/ControlPanel/Palette/Caption": {
            "title": "$:/language/ControlPanel/Palette/Caption",
            "text": "Palette"
        },
        "$:/language/ControlPanel/Palette/Editor/Clone/Caption": {
            "title": "$:/language/ControlPanel/Palette/Editor/Clone/Caption",
            "text": "clone"
        },
        "$:/language/ControlPanel/Palette/Editor/Clone/Prompt": {
            "title": "$:/language/ControlPanel/Palette/Editor/Clone/Prompt",
            "text": "It is recommended that you clone this shadow palette before editing it"
        },
        "$:/language/ControlPanel/Palette/Editor/Delete/Hint": {
            "title": "$:/language/ControlPanel/Palette/Editor/Delete/Hint",
            "text": "delete this entry from the current palette"
        },
        "$:/language/ControlPanel/Palette/Editor/Names/External/Show": {
            "title": "$:/language/ControlPanel/Palette/Editor/Names/External/Show",
            "text": "Show color names that are not part of the current palette"
        },
        "$:/language/ControlPanel/Palette/Editor/Prompt/Modified": {
            "title": "$:/language/ControlPanel/Palette/Editor/Prompt/Modified",
            "text": "This shadow palette has been modified"
        },
        "$:/language/ControlPanel/Palette/Editor/Prompt": {
            "title": "$:/language/ControlPanel/Palette/Editor/Prompt",
            "text": "Editing"
        },
        "$:/language/ControlPanel/Palette/Editor/Reset/Caption": {
            "title": "$:/language/ControlPanel/Palette/Editor/Reset/Caption",
            "text": "reset"
        },
        "$:/language/ControlPanel/Palette/HideEditor/Caption": {
            "title": "$:/language/ControlPanel/Palette/HideEditor/Caption",
            "text": "hide editor"
        },
        "$:/language/ControlPanel/Palette/Prompt": {
            "title": "$:/language/ControlPanel/Palette/Prompt",
            "text": "Current palette:"
        },
        "$:/language/ControlPanel/Palette/ShowEditor/Caption": {
            "title": "$:/language/ControlPanel/Palette/ShowEditor/Caption",
            "text": "show editor"
        },
        "$:/language/ControlPanel/Parsing/Caption": {
            "title": "$:/language/ControlPanel/Parsing/Caption",
            "text": "Parsing"
        },
        "$:/language/ControlPanel/Parsing/Hint": {
            "title": "$:/language/ControlPanel/Parsing/Hint",
            "text": "Here you can globally disable/enable wiki parser rules. For changes to take effect, save and reload your wiki. Disabling certain parser rules can prevent <$text text=\"TiddlyWiki\"/> from functioning correctly. Use [[safe mode|https://tiddlywiki.com/#SafeMode]] to restore normal operation."
        },
        "$:/language/ControlPanel/Parsing/Block/Caption": {
            "title": "$:/language/ControlPanel/Parsing/Block/Caption",
            "text": "Block Parse Rules"
        },
        "$:/language/ControlPanel/Parsing/Inline/Caption": {
            "title": "$:/language/ControlPanel/Parsing/Inline/Caption",
            "text": "Inline Parse Rules"
        },
        "$:/language/ControlPanel/Parsing/Pragma/Caption": {
            "title": "$:/language/ControlPanel/Parsing/Pragma/Caption",
            "text": "Pragma Parse Rules"
        },
        "$:/language/ControlPanel/Plugins/Add/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Add/Caption",
            "text": "Get more plugins"
        },
        "$:/language/ControlPanel/Plugins/Add/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Add/Hint",
            "text": "Install plugins from the official library"
        },
        "$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint": {
            "title": "$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint",
            "text": "This plugin is already installed at version <$text text=<<installedVersion>>/>"
        },
        "$:/language/ControlPanel/Plugins/AlsoRequires": {
            "title": "$:/language/ControlPanel/Plugins/AlsoRequires",
            "text": "Also requires:"
        },
        "$:/language/ControlPanel/Plugins/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Caption",
            "text": "Plugins"
        },
        "$:/language/ControlPanel/Plugins/Disable/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Disable/Caption",
            "text": "disable"
        },
        "$:/language/ControlPanel/Plugins/Disable/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Disable/Hint",
            "text": "Disable this plugin when reloading page"
        },
        "$:/language/ControlPanel/Plugins/Disabled/Status": {
            "title": "$:/language/ControlPanel/Plugins/Disabled/Status",
            "text": "(disabled)"
        },
        "$:/language/ControlPanel/Plugins/Downgrade/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Downgrade/Caption",
            "text": "downgrade"
        },
        "$:/language/ControlPanel/Plugins/Empty/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Empty/Hint",
            "text": "None"
        },
        "$:/language/ControlPanel/Plugins/Enable/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Enable/Caption",
            "text": "enable"
        },
        "$:/language/ControlPanel/Plugins/Enable/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Enable/Hint",
            "text": "Enable this plugin when reloading page"
        },
        "$:/language/ControlPanel/Plugins/Install/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Install/Caption",
            "text": "install"
        },
        "$:/language/ControlPanel/Plugins/Installed/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Installed/Hint",
            "text": "Currently installed plugins:"
        },
        "$:/language/ControlPanel/Plugins/Languages/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Languages/Caption",
            "text": "Languages"
        },
        "$:/language/ControlPanel/Plugins/Languages/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Languages/Hint",
            "text": "Language pack plugins"
        },
        "$:/language/ControlPanel/Plugins/NoInfoFound/Hint": {
            "title": "$:/language/ControlPanel/Plugins/NoInfoFound/Hint",
            "text": "No ''\"<$text text=<<currentTab>>/>\"'' found"
        },
        "$:/language/ControlPanel/Plugins/NotInstalled/Hint": {
            "title": "$:/language/ControlPanel/Plugins/NotInstalled/Hint",
            "text": "This plugin is not currently installed"
        },
        "$:/language/ControlPanel/Plugins/OpenPluginLibrary": {
            "title": "$:/language/ControlPanel/Plugins/OpenPluginLibrary",
            "text": "open plugin library"
        },
        "$:/language/ControlPanel/Plugins/ClosePluginLibrary": {
            "title": "$:/language/ControlPanel/Plugins/ClosePluginLibrary",
            "text": "close plugin library"
        },
        "$:/language/ControlPanel/Plugins/PluginWillRequireReload": {
            "title": "$:/language/ControlPanel/Plugins/PluginWillRequireReload",
            "text": "(requires reload)"
        },
        "$:/language/ControlPanel/Plugins/Plugins/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Plugins/Caption",
            "text": "Plugins"
        },
        "$:/language/ControlPanel/Plugins/Plugins/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Plugins/Hint",
            "text": "Plugins"
        },
        "$:/language/ControlPanel/Plugins/Reinstall/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Reinstall/Caption",
            "text": "reinstall"
        },
        "$:/language/ControlPanel/Plugins/Themes/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Themes/Caption",
            "text": "Themes"
        },
        "$:/language/ControlPanel/Plugins/Themes/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Themes/Hint",
            "text": "Theme plugins"
        },
        "$:/language/ControlPanel/Plugins/Update/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Update/Caption",
            "text": "update"
        },
        "$:/language/ControlPanel/Plugins/Updates/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Updates/Caption",
            "text": "Updates"
        },
        "$:/language/ControlPanel/Plugins/Updates/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Updates/Hint",
            "text": "Available updates to installed plugins"
        },
        "$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption",
            "text": "Update <<update-count>> plugins"
        },
        "$:/language/ControlPanel/Plugins/SubPluginPrompt": {
            "title": "$:/language/ControlPanel/Plugins/SubPluginPrompt",
            "text": "With <<count>> sub-plugins available"
        },
        "$:/language/ControlPanel/Saving/Caption": {
            "title": "$:/language/ControlPanel/Saving/Caption",
            "text": "Saving"
        },
        "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description": {
            "title": "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description",
            "text": "Permit automatic saving for the download saver"
        },
        "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint": {
            "title": "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint",
            "text": "Enable Autosave for Download Saver"
        },
        "$:/language/ControlPanel/Saving/DownloadSaver/Caption": {
            "title": "$:/language/ControlPanel/Saving/DownloadSaver/Caption",
            "text": "Download Saver"
        },
        "$:/language/ControlPanel/Saving/DownloadSaver/Hint": {
            "title": "$:/language/ControlPanel/Saving/DownloadSaver/Hint",
            "text": "These settings apply to the HTML5-compatible download saver"
        },
        "$:/language/ControlPanel/Saving/General/Caption": {
            "title": "$:/language/ControlPanel/Saving/General/Caption",
            "text": "General"
        },
        "$:/language/ControlPanel/Saving/General/Hint": {
            "title": "$:/language/ControlPanel/Saving/General/Hint",
            "text": "These settings apply to all the loaded savers"
        },
        "$:/language/ControlPanel/Saving/Hint": {
            "title": "$:/language/ControlPanel/Saving/Hint",
            "text": "Settings used for saving the entire TiddlyWiki as a single file via a saver module"
        },
        "$:/language/ControlPanel/Saving/GitService/Branch": {
            "title": "$:/language/ControlPanel/Saving/GitService/Branch",
            "text": "Target branch for saving"
        },
        "$:/language/ControlPanel/Saving/GitService/CommitMessage": {
            "title": "$:/language/ControlPanel/Saving/GitService/CommitMessage",
            "text": "Saved by TiddlyWiki"
        },
        "$:/language/ControlPanel/Saving/GitService/Description": {
            "title": "$:/language/ControlPanel/Saving/GitService/Description",
            "text": "These settings are only used when saving to <<service-name>>"
        },
        "$:/language/ControlPanel/Saving/GitService/Filename": {
            "title": "$:/language/ControlPanel/Saving/GitService/Filename",
            "text": "Filename of target file (e.g. `index.html`)"
        },
        "$:/language/ControlPanel/Saving/GitService/Path": {
            "title": "$:/language/ControlPanel/Saving/GitService/Path",
            "text": "Path to target file (e.g. `/wiki/`)"
        },
        "$:/language/ControlPanel/Saving/GitService/Repo": {
            "title": "$:/language/ControlPanel/Saving/GitService/Repo",
            "text": "Target repository (e.g. `Jermolene/TiddlyWiki5`)"
        },
        "$:/language/ControlPanel/Saving/GitService/ServerURL": {
            "title": "$:/language/ControlPanel/Saving/GitService/ServerURL",
            "text": "Server API URL"
        },
        "$:/language/ControlPanel/Saving/GitService/UserName": {
            "title": "$:/language/ControlPanel/Saving/GitService/UserName",
            "text": "Username"
        },
        "$:/language/ControlPanel/Saving/GitService/GitHub/Caption": {
            "title": "$:/language/ControlPanel/Saving/GitService/GitHub/Caption",
            "text": "~GitHub Saver"
        },
        "$:/language/ControlPanel/Saving/GitService/GitHub/Password": {
            "title": "$:/language/ControlPanel/Saving/GitService/GitHub/Password",
            "text": "Password, OAUTH token, or personal access token (see [[GitHub help page|https://help.github.com/en/articles/creating-a-personal-access-token-for-the-command-line]] for details)"
        },
        "$:/language/ControlPanel/Saving/GitService/GitLab/Caption": {
            "title": "$:/language/ControlPanel/Saving/GitService/GitLab/Caption",
            "text": "~GitLab Saver"
        },
        "$:/language/ControlPanel/Saving/GitService/GitLab/Password": {
            "title": "$:/language/ControlPanel/Saving/GitService/GitLab/Password",
            "text": "Personal access token for API (see [[GitLab help page|https://docs.gitlab.com/ee/user/profile/personal_access_tokens.html]] for details)"
        },
        "$:/language/ControlPanel/Saving/GitService/Gitea/Caption": {
            "title": "$:/language/ControlPanel/Saving/GitService/Gitea/Caption",
            "text": "Gitea Saver"
        },
        "$:/language/ControlPanel/Saving/GitService/Gitea/Password": {
            "title": "$:/language/ControlPanel/Saving/GitService/Gitea/Password",
            "text": "Personal access token for API (via Gitea’s web interface: `Settings | Applications | Generate New Token`)"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading",
            "text": "Advanced Settings"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/BackupDir": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/BackupDir",
            "text": "Backup Directory"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/Backups": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/Backups",
            "text": "Backups"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/Caption": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/Caption",
            "text": "~TiddlySpot Saver"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/Description": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/Description",
            "text": "These settings are only used when saving to http://tiddlyspot.com or a compatible remote server"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/Filename": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/Filename",
            "text": "Upload Filename"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/Heading": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/Heading",
            "text": "~TiddlySpot"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/Hint": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/Hint",
            "text": "//The server URL defaults to `http://<wikiname>.tiddlyspot.com/store.cgi` and can be changed to use a custom server address, e.g. `http://example.com/store.php`.//"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/Password": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/Password",
            "text": "Password"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/ServerURL": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/ServerURL",
            "text": "Server URL"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/UploadDir": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/UploadDir",
            "text": "Upload Directory"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/UserName": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/UserName",
            "text": "Wiki Name"
        },
        "$:/language/ControlPanel/Settings/AutoSave/Caption": {
            "title": "$:/language/ControlPanel/Settings/AutoSave/Caption",
            "text": "Autosave"
        },
        "$:/language/ControlPanel/Settings/AutoSave/Disabled/Description": {
            "title": "$:/language/ControlPanel/Settings/AutoSave/Disabled/Description",
            "text": "Do not save changes automatically"
        },
        "$:/language/ControlPanel/Settings/AutoSave/Enabled/Description": {
            "title": "$:/language/ControlPanel/Settings/AutoSave/Enabled/Description",
            "text": "Save changes automatically"
        },
        "$:/language/ControlPanel/Settings/AutoSave/Hint": {
            "title": "$:/language/ControlPanel/Settings/AutoSave/Hint",
            "text": "Attempt to automatically save changes during editing when using a supporting saver"
        },
        "$:/language/ControlPanel/Settings/CamelCase/Caption": {
            "title": "$:/language/ControlPanel/Settings/CamelCase/Caption",
            "text": "Camel Case Wiki Links"
        },
        "$:/language/ControlPanel/Settings/CamelCase/Hint": {
            "title": "$:/language/ControlPanel/Settings/CamelCase/Hint",
            "text": "You can globally disable automatic linking of ~CamelCase phrases. Requires reload to take effect"
        },
        "$:/language/ControlPanel/Settings/CamelCase/Description": {
            "title": "$:/language/ControlPanel/Settings/CamelCase/Description",
            "text": "Enable automatic ~CamelCase linking"
        },
        "$:/language/ControlPanel/Settings/Caption": {
            "title": "$:/language/ControlPanel/Settings/Caption",
            "text": "Settings"
        },
        "$:/language/ControlPanel/Settings/EditorToolbar/Caption": {
            "title": "$:/language/ControlPanel/Settings/EditorToolbar/Caption",
            "text": "Editor Toolbar"
        },
        "$:/language/ControlPanel/Settings/EditorToolbar/Hint": {
            "title": "$:/language/ControlPanel/Settings/EditorToolbar/Hint",
            "text": "Enable or disable the editor toolbar:"
        },
        "$:/language/ControlPanel/Settings/EditorToolbar/Description": {
            "title": "$:/language/ControlPanel/Settings/EditorToolbar/Description",
            "text": "Show editor toolbar"
        },
        "$:/language/ControlPanel/Settings/InfoPanelMode/Caption": {
            "title": "$:/language/ControlPanel/Settings/InfoPanelMode/Caption",
            "text": "Tiddler Info Panel Mode"
        },
        "$:/language/ControlPanel/Settings/InfoPanelMode/Hint": {
            "title": "$:/language/ControlPanel/Settings/InfoPanelMode/Hint",
            "text": "Control when the tiddler info panel closes:"
        },
        "$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description": {
            "title": "$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description",
            "text": "Tiddler info panel closes automatically"
        },
        "$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description": {
            "title": "$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description",
            "text": "Tiddler info panel stays open until explicitly closed"
        },
        "$:/language/ControlPanel/Settings/Hint": {
            "title": "$:/language/ControlPanel/Settings/Hint",
            "text": "These settings let you customise the behaviour of TiddlyWiki."
        },
        "$:/language/ControlPanel/Settings/NavigationAddressBar/Caption": {
            "title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Caption",
            "text": "Navigation Address Bar"
        },
        "$:/language/ControlPanel/Settings/NavigationAddressBar/Hint": {
            "title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Hint",
            "text": "Behaviour of the browser address bar when navigating to a tiddler:"
        },
        "$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description": {
            "title": "$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description",
            "text": "Do not update the address bar"
        },
        "$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description": {
            "title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description",
            "text": "Include the target tiddler"
        },
        "$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description": {
            "title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description",
            "text": "Include the target tiddler and the current story sequence"
        },
        "$:/language/ControlPanel/Settings/NavigationHistory/Caption": {
            "title": "$:/language/ControlPanel/Settings/NavigationHistory/Caption",
            "text": "Navigation History"
        },
        "$:/language/ControlPanel/Settings/NavigationHistory/Hint": {
            "title": "$:/language/ControlPanel/Settings/NavigationHistory/Hint",
            "text": "Update browser history when navigating to a tiddler:"
        },
        "$:/language/ControlPanel/Settings/NavigationHistory/No/Description": {
            "title": "$:/language/ControlPanel/Settings/NavigationHistory/No/Description",
            "text": "Do not update history"
        },
        "$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description": {
            "title": "$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description",
            "text": "Update history"
        },
        "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption": {
            "title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption",
            "text": "Permalink/permaview Mode"
        },
        "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Hint": {
            "title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Hint",
            "text": "Choose how permalink/permaview is handled:"
        },
        "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/CopyToClipboard/Description": {
            "title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/CopyToClipboard/Description",
            "text": "Copy permalink/permaview URL to clipboard"
        },
        "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/UpdateAddressBar/Description": {
            "title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/UpdateAddressBar/Description",
            "text": "Update address bar with permalink/permaview URL"
        },
        "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption": {
            "title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption",
            "text": "Performance Instrumentation"
        },
        "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint": {
            "title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint",
            "text": "Displays performance statistics in the browser developer console. Requires reload to take effect"
        },
        "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description": {
            "title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description",
            "text": "Enable performance instrumentation"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption",
            "text": "Toolbar Button Style"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint",
            "text": "Choose the style for toolbar buttons:"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless",
            "text": "Borderless"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed",
            "text": "Boxed"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded",
            "text": "Rounded"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtons/Caption": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtons/Caption",
            "text": "Toolbar Buttons"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtons/Hint": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtons/Hint",
            "text": "Default toolbar button appearance:"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description",
            "text": "Include icon"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description",
            "text": "Include text"
        },
        "$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption": {
            "title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption",
            "text": "Default Sidebar Tab"
        },
        "$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint": {
            "title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint",
            "text": "Specify which sidebar tab is displayed by default"
        },
        "$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption": {
            "title": "$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption",
            "text": "Default More Sidebar Tab"
        },
        "$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Hint": {
            "title": "$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Hint",
            "text": "Specify which More sidebar tab is displayed by default"
        },
        "$:/language/ControlPanel/Settings/LinkToBehaviour/Caption": {
            "title": "$:/language/ControlPanel/Settings/LinkToBehaviour/Caption",
            "text": "Tiddler Opening Behaviour"
        },
        "$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint": {
            "title": "$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint",
            "text": "Navigation from //within// the story river"
        },
        "$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint": {
            "title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint",
            "text": "Navigation from //outside// the story river"
        },
        "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove": {
            "title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove",
            "text": "Open above the current tiddler"
        },
        "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow": {
            "title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow",
            "text": "Open below the current tiddler"
        },
        "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop": {
            "title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop",
            "text": "Open at the top of the story river"
        },
        "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom": {
            "title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom",
            "text": "Open at the bottom of the story river"
        },
        "$:/language/ControlPanel/Settings/TitleLinks/Caption": {
            "title": "$:/language/ControlPanel/Settings/TitleLinks/Caption",
            "text": "Tiddler Titles"
        },
        "$:/language/ControlPanel/Settings/TitleLinks/Hint": {
            "title": "$:/language/ControlPanel/Settings/TitleLinks/Hint",
            "text": "Optionally display tiddler titles as links"
        },
        "$:/language/ControlPanel/Settings/TitleLinks/No/Description": {
            "title": "$:/language/ControlPanel/Settings/TitleLinks/No/Description",
            "text": "Do not display tiddler titles as links"
        },
        "$:/language/ControlPanel/Settings/TitleLinks/Yes/Description": {
            "title": "$:/language/ControlPanel/Settings/TitleLinks/Yes/Description",
            "text": "Display tiddler titles as links"
        },
        "$:/language/ControlPanel/Settings/MissingLinks/Caption": {
            "title": "$:/language/ControlPanel/Settings/MissingLinks/Caption",
            "text": "Wiki Links"
        },
        "$:/language/ControlPanel/Settings/MissingLinks/Hint": {
            "title": "$:/language/ControlPanel/Settings/MissingLinks/Hint",
            "text": "Choose whether to link to tiddlers that do not exist yet"
        },
        "$:/language/ControlPanel/Settings/MissingLinks/Description": {
            "title": "$:/language/ControlPanel/Settings/MissingLinks/Description",
            "text": "Enable links to missing tiddlers"
        },
        "$:/language/ControlPanel/StoryView/Caption": {
            "title": "$:/language/ControlPanel/StoryView/Caption",
            "text": "Story View"
        },
        "$:/language/ControlPanel/StoryView/Prompt": {
            "title": "$:/language/ControlPanel/StoryView/Prompt",
            "text": "Current view:"
        },
        "$:/language/ControlPanel/Stylesheets/Caption": {
            "title": "$:/language/ControlPanel/Stylesheets/Caption",
            "text": "Stylesheets"
        },
        "$:/language/ControlPanel/Stylesheets/Expand/Caption": {
            "title": "$:/language/ControlPanel/Stylesheets/Expand/Caption",
            "text": "Expand All"
        },
        "$:/language/ControlPanel/Stylesheets/Hint": {
            "title": "$:/language/ControlPanel/Stylesheets/Hint",
            "text": "This is the rendered CSS of the current stylesheet tiddlers tagged with <<tag \"$:/tags/Stylesheet\">>"
        },
        "$:/language/ControlPanel/Stylesheets/Restore/Caption": {
            "title": "$:/language/ControlPanel/Stylesheets/Restore/Caption",
            "text": "Restore"
        },
        "$:/language/ControlPanel/Theme/Caption": {
            "title": "$:/language/ControlPanel/Theme/Caption",
            "text": "Theme"
        },
        "$:/language/ControlPanel/Theme/Prompt": {
            "title": "$:/language/ControlPanel/Theme/Prompt",
            "text": "Current theme:"
        },
        "$:/language/ControlPanel/TiddlerFields/Caption": {
            "title": "$:/language/ControlPanel/TiddlerFields/Caption",
            "text": "Tiddler Fields"
        },
        "$:/language/ControlPanel/TiddlerFields/Hint": {
            "title": "$:/language/ControlPanel/TiddlerFields/Hint",
            "text": "This is the full set of TiddlerFields in use in this wiki (including system tiddlers but excluding shadow tiddlers)."
        },
        "$:/language/ControlPanel/Toolbars/Caption": {
            "title": "$:/language/ControlPanel/Toolbars/Caption",
            "text": "Toolbars"
        },
        "$:/language/ControlPanel/Toolbars/EditToolbar/Caption": {
            "title": "$:/language/ControlPanel/Toolbars/EditToolbar/Caption",
            "text": "Edit Toolbar"
        },
        "$:/language/ControlPanel/Toolbars/EditToolbar/Hint": {
            "title": "$:/language/ControlPanel/Toolbars/EditToolbar/Hint",
            "text": "Choose which buttons are displayed for tiddlers in edit mode. Drag and drop to change the ordering"
        },
        "$:/language/ControlPanel/Toolbars/Hint": {
            "title": "$:/language/ControlPanel/Toolbars/Hint",
            "text": "Select which toolbar buttons are displayed"
        },
        "$:/language/ControlPanel/Toolbars/PageControls/Caption": {
            "title": "$:/language/ControlPanel/Toolbars/PageControls/Caption",
            "text": "Page Toolbar"
        },
        "$:/language/ControlPanel/Toolbars/PageControls/Hint": {
            "title": "$:/language/ControlPanel/Toolbars/PageControls/Hint",
            "text": "Choose which buttons are displayed on the main page toolbar. Drag and drop to change the ordering"
        },
        "$:/language/ControlPanel/Toolbars/EditorToolbar/Caption": {
            "title": "$:/language/ControlPanel/Toolbars/EditorToolbar/Caption",
            "text": "Editor Toolbar"
        },
        "$:/language/ControlPanel/Toolbars/EditorToolbar/Hint": {
            "title": "$:/language/ControlPanel/Toolbars/EditorToolbar/Hint",
            "text": "Choose which buttons are displayed in the editor toolbar. Note that some buttons will only appear when editing tiddlers of a certain type. Drag and drop to change the ordering"
        },
        "$:/language/ControlPanel/Toolbars/ViewToolbar/Caption": {
            "title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Caption",
            "text": "View Toolbar"
        },
        "$:/language/ControlPanel/Toolbars/ViewToolbar/Hint": {
            "title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Hint",
            "text": "Choose which buttons are displayed for tiddlers in view mode. Drag and drop to change the ordering"
        },
        "$:/language/ControlPanel/Tools/Download/Full/Caption": {
            "title": "$:/language/ControlPanel/Tools/Download/Full/Caption",
            "text": "Download full wiki"
        },
        "$:/language/Date/DaySuffix/1": {
            "title": "$:/language/Date/DaySuffix/1",
            "text": "st"
        },
        "$:/language/Date/DaySuffix/2": {
            "title": "$:/language/Date/DaySuffix/2",
            "text": "nd"
        },
        "$:/language/Date/DaySuffix/3": {
            "title": "$:/language/Date/DaySuffix/3",
            "text": "rd"
        },
        "$:/language/Date/DaySuffix/4": {
            "title": "$:/language/Date/DaySuffix/4",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/5": {
            "title": "$:/language/Date/DaySuffix/5",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/6": {
            "title": "$:/language/Date/DaySuffix/6",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/7": {
            "title": "$:/language/Date/DaySuffix/7",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/8": {
            "title": "$:/language/Date/DaySuffix/8",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/9": {
            "title": "$:/language/Date/DaySuffix/9",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/10": {
            "title": "$:/language/Date/DaySuffix/10",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/11": {
            "title": "$:/language/Date/DaySuffix/11",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/12": {
            "title": "$:/language/Date/DaySuffix/12",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/13": {
            "title": "$:/language/Date/DaySuffix/13",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/14": {
            "title": "$:/language/Date/DaySuffix/14",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/15": {
            "title": "$:/language/Date/DaySuffix/15",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/16": {
            "title": "$:/language/Date/DaySuffix/16",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/17": {
            "title": "$:/language/Date/DaySuffix/17",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/18": {
            "title": "$:/language/Date/DaySuffix/18",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/19": {
            "title": "$:/language/Date/DaySuffix/19",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/20": {
            "title": "$:/language/Date/DaySuffix/20",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/21": {
            "title": "$:/language/Date/DaySuffix/21",
            "text": "st"
        },
        "$:/language/Date/DaySuffix/22": {
            "title": "$:/language/Date/DaySuffix/22",
            "text": "nd"
        },
        "$:/language/Date/DaySuffix/23": {
            "title": "$:/language/Date/DaySuffix/23",
            "text": "rd"
        },
        "$:/language/Date/DaySuffix/24": {
            "title": "$:/language/Date/DaySuffix/24",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/25": {
            "title": "$:/language/Date/DaySuffix/25",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/26": {
            "title": "$:/language/Date/DaySuffix/26",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/27": {
            "title": "$:/language/Date/DaySuffix/27",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/28": {
            "title": "$:/language/Date/DaySuffix/28",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/29": {
            "title": "$:/language/Date/DaySuffix/29",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/30": {
            "title": "$:/language/Date/DaySuffix/30",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/31": {
            "title": "$:/language/Date/DaySuffix/31",
            "text": "st"
        },
        "$:/language/Date/Long/Day/0": {
            "title": "$:/language/Date/Long/Day/0",
            "text": "Sunday"
        },
        "$:/language/Date/Long/Day/1": {
            "title": "$:/language/Date/Long/Day/1",
            "text": "Monday"
        },
        "$:/language/Date/Long/Day/2": {
            "title": "$:/language/Date/Long/Day/2",
            "text": "Tuesday"
        },
        "$:/language/Date/Long/Day/3": {
            "title": "$:/language/Date/Long/Day/3",
            "text": "Wednesday"
        },
        "$:/language/Date/Long/Day/4": {
            "title": "$:/language/Date/Long/Day/4",
            "text": "Thursday"
        },
        "$:/language/Date/Long/Day/5": {
            "title": "$:/language/Date/Long/Day/5",
            "text": "Friday"
        },
        "$:/language/Date/Long/Day/6": {
            "title": "$:/language/Date/Long/Day/6",
            "text": "Saturday"
        },
        "$:/language/Date/Long/Month/1": {
            "title": "$:/language/Date/Long/Month/1",
            "text": "January"
        },
        "$:/language/Date/Long/Month/2": {
            "title": "$:/language/Date/Long/Month/2",
            "text": "February"
        },
        "$:/language/Date/Long/Month/3": {
            "title": "$:/language/Date/Long/Month/3",
            "text": "March"
        },
        "$:/language/Date/Long/Month/4": {
            "title": "$:/language/Date/Long/Month/4",
            "text": "April"
        },
        "$:/language/Date/Long/Month/5": {
            "title": "$:/language/Date/Long/Month/5",
            "text": "May"
        },
        "$:/language/Date/Long/Month/6": {
            "title": "$:/language/Date/Long/Month/6",
            "text": "June"
        },
        "$:/language/Date/Long/Month/7": {
            "title": "$:/language/Date/Long/Month/7",
            "text": "July"
        },
        "$:/language/Date/Long/Month/8": {
            "title": "$:/language/Date/Long/Month/8",
            "text": "August"
        },
        "$:/language/Date/Long/Month/9": {
            "title": "$:/language/Date/Long/Month/9",
            "text": "September"
        },
        "$:/language/Date/Long/Month/10": {
            "title": "$:/language/Date/Long/Month/10",
            "text": "October"
        },
        "$:/language/Date/Long/Month/11": {
            "title": "$:/language/Date/Long/Month/11",
            "text": "November"
        },
        "$:/language/Date/Long/Month/12": {
            "title": "$:/language/Date/Long/Month/12",
            "text": "December"
        },
        "$:/language/Date/Period/am": {
            "title": "$:/language/Date/Period/am",
            "text": "am"
        },
        "$:/language/Date/Period/pm": {
            "title": "$:/language/Date/Period/pm",
            "text": "pm"
        },
        "$:/language/Date/Short/Day/0": {
            "title": "$:/language/Date/Short/Day/0",
            "text": "Sun"
        },
        "$:/language/Date/Short/Day/1": {
            "title": "$:/language/Date/Short/Day/1",
            "text": "Mon"
        },
        "$:/language/Date/Short/Day/2": {
            "title": "$:/language/Date/Short/Day/2",
            "text": "Tue"
        },
        "$:/language/Date/Short/Day/3": {
            "title": "$:/language/Date/Short/Day/3",
            "text": "Wed"
        },
        "$:/language/Date/Short/Day/4": {
            "title": "$:/language/Date/Short/Day/4",
            "text": "Thu"
        },
        "$:/language/Date/Short/Day/5": {
            "title": "$:/language/Date/Short/Day/5",
            "text": "Fri"
        },
        "$:/language/Date/Short/Day/6": {
            "title": "$:/language/Date/Short/Day/6",
            "text": "Sat"
        },
        "$:/language/Date/Short/Month/1": {
            "title": "$:/language/Date/Short/Month/1",
            "text": "Jan"
        },
        "$:/language/Date/Short/Month/2": {
            "title": "$:/language/Date/Short/Month/2",
            "text": "Feb"
        },
        "$:/language/Date/Short/Month/3": {
            "title": "$:/language/Date/Short/Month/3",
            "text": "Mar"
        },
        "$:/language/Date/Short/Month/4": {
            "title": "$:/language/Date/Short/Month/4",
            "text": "Apr"
        },
        "$:/language/Date/Short/Month/5": {
            "title": "$:/language/Date/Short/Month/5",
            "text": "May"
        },
        "$:/language/Date/Short/Month/6": {
            "title": "$:/language/Date/Short/Month/6",
            "text": "Jun"
        },
        "$:/language/Date/Short/Month/7": {
            "title": "$:/language/Date/Short/Month/7",
            "text": "Jul"
        },
        "$:/language/Date/Short/Month/8": {
            "title": "$:/language/Date/Short/Month/8",
            "text": "Aug"
        },
        "$:/language/Date/Short/Month/9": {
            "title": "$:/language/Date/Short/Month/9",
            "text": "Sep"
        },
        "$:/language/Date/Short/Month/10": {
            "title": "$:/language/Date/Short/Month/10",
            "text": "Oct"
        },
        "$:/language/Date/Short/Month/11": {
            "title": "$:/language/Date/Short/Month/11",
            "text": "Nov"
        },
        "$:/language/Date/Short/Month/12": {
            "title": "$:/language/Date/Short/Month/12",
            "text": "Dec"
        },
        "$:/language/RelativeDate/Future/Days": {
            "title": "$:/language/RelativeDate/Future/Days",
            "text": "<<period>> days from now"
        },
        "$:/language/RelativeDate/Future/Hours": {
            "title": "$:/language/RelativeDate/Future/Hours",
            "text": "<<period>> hours from now"
        },
        "$:/language/RelativeDate/Future/Minutes": {
            "title": "$:/language/RelativeDate/Future/Minutes",
            "text": "<<period>> minutes from now"
        },
        "$:/language/RelativeDate/Future/Months": {
            "title": "$:/language/RelativeDate/Future/Months",
            "text": "<<period>> months from now"
        },
        "$:/language/RelativeDate/Future/Second": {
            "title": "$:/language/RelativeDate/Future/Second",
            "text": "1 second from now"
        },
        "$:/language/RelativeDate/Future/Seconds": {
            "title": "$:/language/RelativeDate/Future/Seconds",
            "text": "<<period>> seconds from now"
        },
        "$:/language/RelativeDate/Future/Years": {
            "title": "$:/language/RelativeDate/Future/Years",
            "text": "<<period>> years from now"
        },
        "$:/language/RelativeDate/Past/Days": {
            "title": "$:/language/RelativeDate/Past/Days",
            "text": "<<period>> days ago"
        },
        "$:/language/RelativeDate/Past/Hours": {
            "title": "$:/language/RelativeDate/Past/Hours",
            "text": "<<period>> hours ago"
        },
        "$:/language/RelativeDate/Past/Minutes": {
            "title": "$:/language/RelativeDate/Past/Minutes",
            "text": "<<period>> minutes ago"
        },
        "$:/language/RelativeDate/Past/Months": {
            "title": "$:/language/RelativeDate/Past/Months",
            "text": "<<period>> months ago"
        },
        "$:/language/RelativeDate/Past/Second": {
            "title": "$:/language/RelativeDate/Past/Second",
            "text": "1 second ago"
        },
        "$:/language/RelativeDate/Past/Seconds": {
            "title": "$:/language/RelativeDate/Past/Seconds",
            "text": "<<period>> seconds ago"
        },
        "$:/language/RelativeDate/Past/Years": {
            "title": "$:/language/RelativeDate/Past/Years",
            "text": "<<period>> years ago"
        },
        "$:/language/Docs/ModuleTypes/allfilteroperator": {
            "title": "$:/language/Docs/ModuleTypes/allfilteroperator",
            "text": "A sub-operator for the ''all'' filter operator."
        },
        "$:/language/Docs/ModuleTypes/animation": {
            "title": "$:/language/Docs/ModuleTypes/animation",
            "text": "Animations that may be used with the RevealWidget."
        },
        "$:/language/Docs/ModuleTypes/authenticator": {
            "title": "$:/language/Docs/ModuleTypes/authenticator",
            "text": "Defines how requests are authenticated by the built-in HTTP server."
        },
        "$:/language/Docs/ModuleTypes/bitmapeditoroperation": {
            "title": "$:/language/Docs/ModuleTypes/bitmapeditoroperation",
            "text": "A bitmap editor toolbar operation."
        },
        "$:/language/Docs/ModuleTypes/command": {
            "title": "$:/language/Docs/ModuleTypes/command",
            "text": "Commands that can be executed under Node.js."
        },
        "$:/language/Docs/ModuleTypes/config": {
            "title": "$:/language/Docs/ModuleTypes/config",
            "text": "Data to be inserted into `$tw.config`."
        },
        "$:/language/Docs/ModuleTypes/filteroperator": {
            "title": "$:/language/Docs/ModuleTypes/filteroperator",
            "text": "Individual filter operator methods."
        },
        "$:/language/Docs/ModuleTypes/global": {
            "title": "$:/language/Docs/ModuleTypes/global",
            "text": "Global data to be inserted into `$tw`."
        },
        "$:/language/Docs/ModuleTypes/info": {
            "title": "$:/language/Docs/ModuleTypes/info",
            "text": "Publishes system information via the [[$:/temp/info-plugin]] pseudo-plugin."
        },
        "$:/language/Docs/ModuleTypes/isfilteroperator": {
            "title": "$:/language/Docs/ModuleTypes/isfilteroperator",
            "text": "Operands for the ''is'' filter operator."
        },
        "$:/language/Docs/ModuleTypes/library": {
            "title": "$:/language/Docs/ModuleTypes/library",
            "text": "Generic module type for general purpose JavaScript modules."
        },
        "$:/language/Docs/ModuleTypes/macro": {
            "title": "$:/language/Docs/ModuleTypes/macro",
            "text": "JavaScript macro definitions."
        },
        "$:/language/Docs/ModuleTypes/parser": {
            "title": "$:/language/Docs/ModuleTypes/parser",
            "text": "Parsers for different content types."
        },
        "$:/language/Docs/ModuleTypes/route": {
            "title": "$:/language/Docs/ModuleTypes/route",
            "text": "Defines how individual URL patterns are handled by the built-in HTTP server."
        },
        "$:/language/Docs/ModuleTypes/saver": {
            "title": "$:/language/Docs/ModuleTypes/saver",
            "text": "Savers handle different methods for saving files from the browser."
        },
        "$:/language/Docs/ModuleTypes/startup": {
            "title": "$:/language/Docs/ModuleTypes/startup",
            "text": "Startup functions."
        },
        "$:/language/Docs/ModuleTypes/storyview": {
            "title": "$:/language/Docs/ModuleTypes/storyview",
            "text": "Story views customise the animation and behaviour of list widgets."
        },
        "$:/language/Docs/ModuleTypes/texteditoroperation": {
            "title": "$:/language/Docs/ModuleTypes/texteditoroperation",
            "text": "A text editor toolbar operation."
        },
        "$:/language/Docs/ModuleTypes/tiddlerdeserializer": {
            "title": "$:/language/Docs/ModuleTypes/tiddlerdeserializer",
            "text": "Converts different content types into tiddlers."
        },
        "$:/language/Docs/ModuleTypes/tiddlerfield": {
            "title": "$:/language/Docs/ModuleTypes/tiddlerfield",
            "text": "Defines the behaviour of an individual tiddler field."
        },
        "$:/language/Docs/ModuleTypes/tiddlermethod": {
            "title": "$:/language/Docs/ModuleTypes/tiddlermethod",
            "text": "Adds methods to the `$tw.Tiddler` prototype."
        },
        "$:/language/Docs/ModuleTypes/upgrader": {
            "title": "$:/language/Docs/ModuleTypes/upgrader",
            "text": "Applies upgrade processing to tiddlers during an upgrade/import."
        },
        "$:/language/Docs/ModuleTypes/utils": {
            "title": "$:/language/Docs/ModuleTypes/utils",
            "text": "Adds methods to `$tw.utils`."
        },
        "$:/language/Docs/ModuleTypes/utils-node": {
            "title": "$:/language/Docs/ModuleTypes/utils-node",
            "text": "Adds Node.js-specific methods to `$tw.utils`."
        },
        "$:/language/Docs/ModuleTypes/widget": {
            "title": "$:/language/Docs/ModuleTypes/widget",
            "text": "Widgets encapsulate DOM rendering and refreshing."
        },
        "$:/language/Docs/ModuleTypes/wikimethod": {
            "title": "$:/language/Docs/ModuleTypes/wikimethod",
            "text": "Adds methods to `$tw.Wiki`."
        },
        "$:/language/Docs/ModuleTypes/wikirule": {
            "title": "$:/language/Docs/ModuleTypes/wikirule",
            "text": "Individual parser rules for the main WikiText parser."
        },
        "$:/language/Docs/PaletteColours/alert-background": {
            "title": "$:/language/Docs/PaletteColours/alert-background",
            "text": "Alert background"
        },
        "$:/language/Docs/PaletteColours/alert-border": {
            "title": "$:/language/Docs/PaletteColours/alert-border",
            "text": "Alert border"
        },
        "$:/language/Docs/PaletteColours/alert-highlight": {
            "title": "$:/language/Docs/PaletteColours/alert-highlight",
            "text": "Alert highlight"
        },
        "$:/language/Docs/PaletteColours/alert-muted-foreground": {
            "title": "$:/language/Docs/PaletteColours/alert-muted-foreground",
            "text": "Alert muted foreground"
        },
        "$:/language/Docs/PaletteColours/background": {
            "title": "$:/language/Docs/PaletteColours/background",
            "text": "General background"
        },
        "$:/language/Docs/PaletteColours/blockquote-bar": {
            "title": "$:/language/Docs/PaletteColours/blockquote-bar",
            "text": "Blockquote bar"
        },
        "$:/language/Docs/PaletteColours/button-background": {
            "title": "$:/language/Docs/PaletteColours/button-background",
            "text": "Default button background"
        },
        "$:/language/Docs/PaletteColours/button-border": {
            "title": "$:/language/Docs/PaletteColours/button-border",
            "text": "Default button border"
        },
        "$:/language/Docs/PaletteColours/button-foreground": {
            "title": "$:/language/Docs/PaletteColours/button-foreground",
            "text": "Default button foreground"
        },
        "$:/language/Docs/PaletteColours/dirty-indicator": {
            "title": "$:/language/Docs/PaletteColours/dirty-indicator",
            "text": "Unsaved changes indicator"
        },
        "$:/language/Docs/PaletteColours/code-background": {
            "title": "$:/language/Docs/PaletteColours/code-background",
            "text": "Code background"
        },
        "$:/language/Docs/PaletteColours/code-border": {
            "title": "$:/language/Docs/PaletteColours/code-border",
            "text": "Code border"
        },
        "$:/language/Docs/PaletteColours/code-foreground": {
            "title": "$:/language/Docs/PaletteColours/code-foreground",
            "text": "Code foreground"
        },
        "$:/language/Docs/PaletteColours/download-background": {
            "title": "$:/language/Docs/PaletteColours/download-background",
            "text": "Download button background"
        },
        "$:/language/Docs/PaletteColours/download-foreground": {
            "title": "$:/language/Docs/PaletteColours/download-foreground",
            "text": "Download button foreground"
        },
        "$:/language/Docs/PaletteColours/dragger-background": {
            "title": "$:/language/Docs/PaletteColours/dragger-background",
            "text": "Dragger background"
        },
        "$:/language/Docs/PaletteColours/dragger-foreground": {
            "title": "$:/language/Docs/PaletteColours/dragger-foreground",
            "text": "Dragger foreground"
        },
        "$:/language/Docs/PaletteColours/dropdown-background": {
            "title": "$:/language/Docs/PaletteColours/dropdown-background",
            "text": "Dropdown background"
        },
        "$:/language/Docs/PaletteColours/dropdown-border": {
            "title": "$:/language/Docs/PaletteColours/dropdown-border",
            "text": "Dropdown border"
        },
        "$:/language/Docs/PaletteColours/dropdown-tab-background-selected": {
            "title": "$:/language/Docs/PaletteColours/dropdown-tab-background-selected",
            "text": "Dropdown tab background for selected tabs"
        },
        "$:/language/Docs/PaletteColours/dropdown-tab-background": {
            "title": "$:/language/Docs/PaletteColours/dropdown-tab-background",
            "text": "Dropdown tab background"
        },
        "$:/language/Docs/PaletteColours/dropzone-background": {
            "title": "$:/language/Docs/PaletteColours/dropzone-background",
            "text": "Dropzone background"
        },
        "$:/language/Docs/PaletteColours/external-link-background-hover": {
            "title": "$:/language/Docs/PaletteColours/external-link-background-hover",
            "text": "External link background hover"
        },
        "$:/language/Docs/PaletteColours/external-link-background-visited": {
            "title": "$:/language/Docs/PaletteColours/external-link-background-visited",
            "text": "External link background visited"
        },
        "$:/language/Docs/PaletteColours/external-link-background": {
            "title": "$:/language/Docs/PaletteColours/external-link-background",
            "text": "External link background"
        },
        "$:/language/Docs/PaletteColours/external-link-foreground-hover": {
            "title": "$:/language/Docs/PaletteColours/external-link-foreground-hover",
            "text": "External link foreground hover"
        },
        "$:/language/Docs/PaletteColours/external-link-foreground-visited": {
            "title": "$:/language/Docs/PaletteColours/external-link-foreground-visited",
            "text": "External link foreground visited"
        },
        "$:/language/Docs/PaletteColours/external-link-foreground": {
            "title": "$:/language/Docs/PaletteColours/external-link-foreground",
            "text": "External link foreground"
        },
        "$:/language/Docs/PaletteColours/foreground": {
            "title": "$:/language/Docs/PaletteColours/foreground",
            "text": "General foreground"
        },
        "$:/language/Docs/PaletteColours/menubar-background": {
            "title": "$:/language/Docs/PaletteColours/menubar-background",
            "text": "Menu bar background"
        },
        "$:/language/Docs/PaletteColours/menubar-foreground": {
            "title": "$:/language/Docs/PaletteColours/menubar-foreground",
            "text": "Menu bar foreground"
        },
        "$:/language/Docs/PaletteColours/message-background": {
            "title": "$:/language/Docs/PaletteColours/message-background",
            "text": "Message box background"
        },
        "$:/language/Docs/PaletteColours/message-border": {
            "title": "$:/language/Docs/PaletteColours/message-border",
            "text": "Message box border"
        },
        "$:/language/Docs/PaletteColours/message-foreground": {
            "title": "$:/language/Docs/PaletteColours/message-foreground",
            "text": "Message box foreground"
        },
        "$:/language/Docs/PaletteColours/modal-backdrop": {
            "title": "$:/language/Docs/PaletteColours/modal-backdrop",
            "text": "Modal backdrop"
        },
        "$:/language/Docs/PaletteColours/modal-background": {
            "title": "$:/language/Docs/PaletteColours/modal-background",
            "text": "Modal background"
        },
        "$:/language/Docs/PaletteColours/modal-border": {
            "title": "$:/language/Docs/PaletteColours/modal-border",
            "text": "Modal border"
        },
        "$:/language/Docs/PaletteColours/modal-footer-background": {
            "title": "$:/language/Docs/PaletteColours/modal-footer-background",
            "text": "Modal footer background"
        },
        "$:/language/Docs/PaletteColours/modal-footer-border": {
            "title": "$:/language/Docs/PaletteColours/modal-footer-border",
            "text": "Modal footer border"
        },
        "$:/language/Docs/PaletteColours/modal-header-border": {
            "title": "$:/language/Docs/PaletteColours/modal-header-border",
            "text": "Modal header border"
        },
        "$:/language/Docs/PaletteColours/muted-foreground": {
            "title": "$:/language/Docs/PaletteColours/muted-foreground",
            "text": "General muted foreground"
        },
        "$:/language/Docs/PaletteColours/notification-background": {
            "title": "$:/language/Docs/PaletteColours/notification-background",
            "text": "Notification background"
        },
        "$:/language/Docs/PaletteColours/notification-border": {
            "title": "$:/language/Docs/PaletteColours/notification-border",
            "text": "Notification border"
        },
        "$:/language/Docs/PaletteColours/page-background": {
            "title": "$:/language/Docs/PaletteColours/page-background",
            "text": "Page background"
        },
        "$:/language/Docs/PaletteColours/pre-background": {
            "title": "$:/language/Docs/PaletteColours/pre-background",
            "text": "Preformatted code background"
        },
        "$:/language/Docs/PaletteColours/pre-border": {
            "title": "$:/language/Docs/PaletteColours/pre-border",
            "text": "Preformatted code border"
        },
        "$:/language/Docs/PaletteColours/primary": {
            "title": "$:/language/Docs/PaletteColours/primary",
            "text": "General primary"
        },
        "$:/language/Docs/PaletteColours/select-tag-background": {
            "title": "$:/language/Docs/PaletteColours/select-tag-background",
            "text": "`<select>` element background"
        },
        "$:/language/Docs/PaletteColours/select-tag-foreground": {
            "title": "$:/language/Docs/PaletteColours/select-tag-foreground",
            "text": "`<select>` element text"
        },
        "$:/language/Docs/PaletteColours/sidebar-button-foreground": {
            "title": "$:/language/Docs/PaletteColours/sidebar-button-foreground",
            "text": "Sidebar button foreground"
        },
        "$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover": {
            "title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover",
            "text": "Sidebar controls foreground hover"
        },
        "$:/language/Docs/PaletteColours/sidebar-controls-foreground": {
            "title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground",
            "text": "Sidebar controls foreground"
        },
        "$:/language/Docs/PaletteColours/sidebar-foreground-shadow": {
            "title": "$:/language/Docs/PaletteColours/sidebar-foreground-shadow",
            "text": "Sidebar foreground shadow"
        },
        "$:/language/Docs/PaletteColours/sidebar-foreground": {
            "title": "$:/language/Docs/PaletteColours/sidebar-foreground",
            "text": "Sidebar foreground"
        },
        "$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover": {
            "title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover",
            "text": "Sidebar muted foreground hover"
        },
        "$:/language/Docs/PaletteColours/sidebar-muted-foreground": {
            "title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground",
            "text": "Sidebar muted foreground"
        },
        "$:/language/Docs/PaletteColours/sidebar-tab-background-selected": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tab-background-selected",
            "text": "Sidebar tab background for selected tabs"
        },
        "$:/language/Docs/PaletteColours/sidebar-tab-background": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tab-background",
            "text": "Sidebar tab background"
        },
        "$:/language/Docs/PaletteColours/sidebar-tab-border-selected": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tab-border-selected",
            "text": "Sidebar tab border for selected tabs"
        },
        "$:/language/Docs/PaletteColours/sidebar-tab-border": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tab-border",
            "text": "Sidebar tab border"
        },
        "$:/language/Docs/PaletteColours/sidebar-tab-divider": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tab-divider",
            "text": "Sidebar tab divider"
        },
        "$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected",
            "text": "Sidebar tab foreground for selected tabs"
        },
        "$:/language/Docs/PaletteColours/sidebar-tab-foreground": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground",
            "text": "Sidebar tab foreground"
        },
        "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover",
            "text": "Sidebar tiddler link foreground hover"
        },
        "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground",
            "text": "Sidebar tiddler link foreground"
        },
        "$:/language/Docs/PaletteColours/site-title-foreground": {
            "title": "$:/language/Docs/PaletteColours/site-title-foreground",
            "text": "Site title foreground"
        },
        "$:/language/Docs/PaletteColours/static-alert-foreground": {
            "title": "$:/language/Docs/PaletteColours/static-alert-foreground",
            "text": "Static alert foreground"
        },
        "$:/language/Docs/PaletteColours/tab-background-selected": {
            "title": "$:/language/Docs/PaletteColours/tab-background-selected",
            "text": "Tab background for selected tabs"
        },
        "$:/language/Docs/PaletteColours/tab-background": {
            "title": "$:/language/Docs/PaletteColours/tab-background",
            "text": "Tab background"
        },
        "$:/language/Docs/PaletteColours/tab-border-selected": {
            "title": "$:/language/Docs/PaletteColours/tab-border-selected",
            "text": "Tab border for selected tabs"
        },
        "$:/language/Docs/PaletteColours/tab-border": {
            "title": "$:/language/Docs/PaletteColours/tab-border",
            "text": "Tab border"
        },
        "$:/language/Docs/PaletteColours/tab-divider": {
            "title": "$:/language/Docs/PaletteColours/tab-divider",
            "text": "Tab divider"
        },
        "$:/language/Docs/PaletteColours/tab-foreground-selected": {
            "title": "$:/language/Docs/PaletteColours/tab-foreground-selected",
            "text": "Tab foreground for selected tabs"
        },
        "$:/language/Docs/PaletteColours/tab-foreground": {
            "title": "$:/language/Docs/PaletteColours/tab-foreground",
            "text": "Tab foreground"
        },
        "$:/language/Docs/PaletteColours/table-border": {
            "title": "$:/language/Docs/PaletteColours/table-border",
            "text": "Table border"
        },
        "$:/language/Docs/PaletteColours/table-footer-background": {
            "title": "$:/language/Docs/PaletteColours/table-footer-background",
            "text": "Table footer background"
        },
        "$:/language/Docs/PaletteColours/table-header-background": {
            "title": "$:/language/Docs/PaletteColours/table-header-background",
            "text": "Table header background"
        },
        "$:/language/Docs/PaletteColours/tag-background": {
            "title": "$:/language/Docs/PaletteColours/tag-background",
            "text": "Tag background"
        },
        "$:/language/Docs/PaletteColours/tag-foreground": {
            "title": "$:/language/Docs/PaletteColours/tag-foreground",
            "text": "Tag foreground"
        },
        "$:/language/Docs/PaletteColours/tiddler-background": {
            "title": "$:/language/Docs/PaletteColours/tiddler-background",
            "text": "Tiddler background"
        },
        "$:/language/Docs/PaletteColours/tiddler-border": {
            "title": "$:/language/Docs/PaletteColours/tiddler-border",
            "text": "Tiddler border"
        },
        "$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover": {
            "title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover",
            "text": "Tiddler controls foreground hover"
        },
        "$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected": {
            "title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected",
            "text": "Tiddler controls foreground for selected controls"
        },
        "$:/language/Docs/PaletteColours/tiddler-controls-foreground": {
            "title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground",
            "text": "Tiddler controls foreground"
        },
        "$:/language/Docs/PaletteColours/tiddler-editor-background": {
            "title": "$:/language/Docs/PaletteColours/tiddler-editor-background",
            "text": "Tiddler editor background"
        },
        "$:/language/Docs/PaletteColours/tiddler-editor-border-image": {
            "title": "$:/language/Docs/PaletteColours/tiddler-editor-border-image",
            "text": "Tiddler editor border image"
        },
        "$:/language/Docs/PaletteColours/tiddler-editor-border": {
            "title": "$:/language/Docs/PaletteColours/tiddler-editor-border",
            "text": "Tiddler editor border"
        },
        "$:/language/Docs/PaletteColours/tiddler-editor-fields-even": {
            "title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-even",
            "text": "Tiddler editor background for even fields"
        },
        "$:/language/Docs/PaletteColours/tiddler-editor-fields-odd": {
            "title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-odd",
            "text": "Tiddler editor background for odd fields"
        },
        "$:/language/Docs/PaletteColours/tiddler-info-background": {
            "title": "$:/language/Docs/PaletteColours/tiddler-info-background",
            "text": "Tiddler info panel background"
        },
        "$:/language/Docs/PaletteColours/tiddler-info-border": {
            "title": "$:/language/Docs/PaletteColours/tiddler-info-border",
            "text": "Tiddler info panel border"
        },
        "$:/language/Docs/PaletteColours/tiddler-info-tab-background": {
            "title": "$:/language/Docs/PaletteColours/tiddler-info-tab-background",
            "text": "Tiddler info panel tab background"
        },
        "$:/language/Docs/PaletteColours/tiddler-link-background": {
            "title": "$:/language/Docs/PaletteColours/tiddler-link-background",
            "text": "Tiddler link background"
        },
        "$:/language/Docs/PaletteColours/tiddler-link-foreground": {
            "title": "$:/language/Docs/PaletteColours/tiddler-link-foreground",
            "text": "Tiddler link foreground"
        },
        "$:/language/Docs/PaletteColours/tiddler-subtitle-foreground": {
            "title": "$:/language/Docs/PaletteColours/tiddler-subtitle-foreground",
            "text": "Tiddler subtitle foreground"
        },
        "$:/language/Docs/PaletteColours/tiddler-title-foreground": {
            "title": "$:/language/Docs/PaletteColours/tiddler-title-foreground",
            "text": "Tiddler title foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-new-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-new-button",
            "text": "Toolbar 'new tiddler' button foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-options-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-options-button",
            "text": "Toolbar 'options' button foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-save-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-save-button",
            "text": "Toolbar 'save' button foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-info-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-info-button",
            "text": "Toolbar 'info' button foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-edit-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-edit-button",
            "text": "Toolbar 'edit' button foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-close-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-close-button",
            "text": "Toolbar 'close' button foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-delete-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-delete-button",
            "text": "Toolbar 'delete' button foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-cancel-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-cancel-button",
            "text": "Toolbar 'cancel' button foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-done-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-done-button",
            "text": "Toolbar 'done' button foreground"
        },
        "$:/language/Docs/PaletteColours/untagged-background": {
            "title": "$:/language/Docs/PaletteColours/untagged-background",
            "text": "Untagged pill background"
        },
        "$:/language/Docs/PaletteColours/very-muted-foreground": {
            "title": "$:/language/Docs/PaletteColours/very-muted-foreground",
            "text": "Very muted foreground"
        },
        "$:/language/EditTemplate/Body/External/Hint": {
            "title": "$:/language/EditTemplate/Body/External/Hint",
            "text": "This tiddler shows content stored outside of the main TiddlyWiki file. You can edit the tags and fields but cannot directly edit the content itself"
        },
        "$:/language/EditTemplate/Body/Placeholder": {
            "title": "$:/language/EditTemplate/Body/Placeholder",
            "text": "Type the text for this tiddler"
        },
        "$:/language/EditTemplate/Body/Preview/Type/Output": {
            "title": "$:/language/EditTemplate/Body/Preview/Type/Output",
            "text": "output"
        },
        "$:/language/EditTemplate/Field/Remove/Caption": {
            "title": "$:/language/EditTemplate/Field/Remove/Caption",
            "text": "remove field"
        },
        "$:/language/EditTemplate/Field/Remove/Hint": {
            "title": "$:/language/EditTemplate/Field/Remove/Hint",
            "text": "Remove field"
        },
        "$:/language/EditTemplate/Field/Dropdown/Caption": {
            "title": "$:/language/EditTemplate/Field/Dropdown/Caption",
            "text": "field list"
        },
        "$:/language/EditTemplate/Field/Dropdown/Hint": {
            "title": "$:/language/EditTemplate/Field/Dropdown/Hint",
            "text": "Show field list"
        },
        "$:/language/EditTemplate/Fields/Add/Button": {
            "title": "$:/language/EditTemplate/Fields/Add/Button",
            "text": "add"
        },
        "$:/language/EditTemplate/Fields/Add/Button/Hint": {
            "title": "$:/language/EditTemplate/Fields/Add/Button/Hint",
            "text": "Add the new field to the tiddler"
        },
        "$:/language/EditTemplate/Fields/Add/Name/Placeholder": {
            "title": "$:/language/EditTemplate/Fields/Add/Name/Placeholder",
            "text": "field name"
        },
        "$:/language/EditTemplate/Fields/Add/Prompt": {
            "title": "$:/language/EditTemplate/Fields/Add/Prompt",
            "text": "Add a new field:"
        },
        "$:/language/EditTemplate/Fields/Add/Value/Placeholder": {
            "title": "$:/language/EditTemplate/Fields/Add/Value/Placeholder",
            "text": "field value"
        },
        "$:/language/EditTemplate/Fields/Add/Dropdown/System": {
            "title": "$:/language/EditTemplate/Fields/Add/Dropdown/System",
            "text": "System fields"
        },
        "$:/language/EditTemplate/Fields/Add/Dropdown/User": {
            "title": "$:/language/EditTemplate/Fields/Add/Dropdown/User",
            "text": "User fields"
        },
        "$:/language/EditTemplate/Shadow/Warning": {
            "title": "$:/language/EditTemplate/Shadow/Warning",
            "text": "This is a shadow tiddler. Any changes you make will override the default version from the plugin <<pluginLink>>"
        },
        "$:/language/EditTemplate/Shadow/OverriddenWarning": {
            "title": "$:/language/EditTemplate/Shadow/OverriddenWarning",
            "text": "This is a modified shadow tiddler. You can revert to the default version in the plugin <<pluginLink>> by deleting this tiddler"
        },
        "$:/language/EditTemplate/Tags/Add/Button": {
            "title": "$:/language/EditTemplate/Tags/Add/Button",
            "text": "add"
        },
        "$:/language/EditTemplate/Tags/Add/Button/Hint": {
            "title": "$:/language/EditTemplate/Tags/Add/Button/Hint",
            "text": "add tag"
        },
        "$:/language/EditTemplate/Tags/Add/Placeholder": {
            "title": "$:/language/EditTemplate/Tags/Add/Placeholder",
            "text": "tag name"
        },
        "$:/language/EditTemplate/Tags/Dropdown/Caption": {
            "title": "$:/language/EditTemplate/Tags/Dropdown/Caption",
            "text": "tag list"
        },
        "$:/language/EditTemplate/Tags/Dropdown/Hint": {
            "title": "$:/language/EditTemplate/Tags/Dropdown/Hint",
            "text": "Show tag list"
        },
        "$:/language/EditTemplate/Title/BadCharacterWarning": {
            "title": "$:/language/EditTemplate/Title/BadCharacterWarning",
            "text": "Warning: avoid using any of the characters <<bad-chars>> in tiddler titles"
        },
        "$:/language/EditTemplate/Title/Exists/Prompt": {
            "title": "$:/language/EditTemplate/Title/Exists/Prompt",
            "text": "Target tiddler already exists"
        },
        "$:/language/EditTemplate/Title/Relink/Prompt": {
            "title": "$:/language/EditTemplate/Title/Relink/Prompt",
            "text": "Update ''<$text text=<<fromTitle>>/>'' to ''<$text text=<<toTitle>>/>'' in the //tags// and //list// fields of other tiddlers"
        },
        "$:/language/EditTemplate/Title/References/Prompt": {
            "title": "$:/language/EditTemplate/Title/References/Prompt",
            "text": "The following references to this tiddler will not be automatically updated:"
        },
        "$:/language/EditTemplate/Type/Dropdown/Caption": {
            "title": "$:/language/EditTemplate/Type/Dropdown/Caption",
            "text": "content type list"
        },
        "$:/language/EditTemplate/Type/Dropdown/Hint": {
            "title": "$:/language/EditTemplate/Type/Dropdown/Hint",
            "text": "Show content type list"
        },
        "$:/language/EditTemplate/Type/Delete/Caption": {
            "title": "$:/language/EditTemplate/Type/Delete/Caption",
            "text": "delete content type"
        },
        "$:/language/EditTemplate/Type/Delete/Hint": {
            "title": "$:/language/EditTemplate/Type/Delete/Hint",
            "text": "Delete content type"
        },
        "$:/language/EditTemplate/Type/Placeholder": {
            "title": "$:/language/EditTemplate/Type/Placeholder",
            "text": "content type"
        },
        "$:/language/EditTemplate/Type/Prompt": {
            "title": "$:/language/EditTemplate/Type/Prompt",
            "text": "Type:"
        },
        "$:/language/Exporters/StaticRiver": {
            "title": "$:/language/Exporters/StaticRiver",
            "text": "Static HTML"
        },
        "$:/language/Exporters/JsonFile": {
            "title": "$:/language/Exporters/JsonFile",
            "text": "JSON file"
        },
        "$:/language/Exporters/CsvFile": {
            "title": "$:/language/Exporters/CsvFile",
            "text": "CSV file"
        },
        "$:/language/Exporters/TidFile": {
            "title": "$:/language/Exporters/TidFile",
            "text": "\".tid\" file"
        },
        "$:/language/Docs/Fields/_canonical_uri": {
            "title": "$:/language/Docs/Fields/_canonical_uri",
            "text": "The full URI of an external image tiddler"
        },
        "$:/language/Docs/Fields/bag": {
            "title": "$:/language/Docs/Fields/bag",
            "text": "The name of the bag from which a tiddler came"
        },
        "$:/language/Docs/Fields/caption": {
            "title": "$:/language/Docs/Fields/caption",
            "text": "The text to be displayed on a tab or button"
        },
        "$:/language/Docs/Fields/color": {
            "title": "$:/language/Docs/Fields/color",
            "text": "The CSS color value associated with a tiddler"
        },
        "$:/language/Docs/Fields/component": {
            "title": "$:/language/Docs/Fields/component",
            "text": "The name of the component responsible for an [[alert tiddler|AlertMechanism]]"
        },
        "$:/language/Docs/Fields/current-tiddler": {
            "title": "$:/language/Docs/Fields/current-tiddler",
            "text": "Used to cache the top tiddler in a [[history list|HistoryMechanism]]"
        },
        "$:/language/Docs/Fields/created": {
            "title": "$:/language/Docs/Fields/created",
            "text": "The date a tiddler was created"
        },
        "$:/language/Docs/Fields/creator": {
            "title": "$:/language/Docs/Fields/creator",
            "text": "The name of the person who created a tiddler"
        },
        "$:/language/Docs/Fields/dependents": {
            "title": "$:/language/Docs/Fields/dependents",
            "text": "For a plugin, lists the dependent plugin titles"
        },
        "$:/language/Docs/Fields/description": {
            "title": "$:/language/Docs/Fields/description",
            "text": "The descriptive text for a plugin, or a modal dialogue"
        },
        "$:/language/Docs/Fields/draft.of": {
            "title": "$:/language/Docs/Fields/draft.of",
            "text": "For draft tiddlers, contains the title of the tiddler of which this is a draft"
        },
        "$:/language/Docs/Fields/draft.title": {
            "title": "$:/language/Docs/Fields/draft.title",
            "text": "For draft tiddlers, contains the proposed new title of the tiddler"
        },
        "$:/language/Docs/Fields/footer": {
            "title": "$:/language/Docs/Fields/footer",
            "text": "The footer text for a wizard"
        },
        "$:/language/Docs/Fields/hide-body": {
            "title": "$:/language/Docs/Fields/hide-body",
            "text": "The view template will hide bodies of tiddlers if set to: ''yes''"
        },
        "$:/language/Docs/Fields/icon": {
            "title": "$:/language/Docs/Fields/icon",
            "text": "The title of the tiddler containing the icon associated with a tiddler"
        },
        "$:/language/Docs/Fields/library": {
            "title": "$:/language/Docs/Fields/library",
            "text": "Indicates that a tiddler should be saved as a JavaScript library if set to: ''yes''"
        },
        "$:/language/Docs/Fields/list": {
            "title": "$:/language/Docs/Fields/list",
            "text": "An ordered list of tiddler titles associated with a tiddler"
        },
        "$:/language/Docs/Fields/list-before": {
            "title": "$:/language/Docs/Fields/list-before",
            "text": "If set, the title of a tiddler before which this tiddler should be added to the ordered list of tiddler titles, or at the start of the list if this field is present but empty"
        },
        "$:/language/Docs/Fields/list-after": {
            "title": "$:/language/Docs/Fields/list-after",
            "text": "If set, the title of the tiddler after which this tiddler should be added to the ordered list of tiddler titles, or at the end of the list if this field is present but empty"
        },
        "$:/language/Docs/Fields/modified": {
            "title": "$:/language/Docs/Fields/modified",
            "text": "The date and time at which a tiddler was last modified"
        },
        "$:/language/Docs/Fields/modifier": {
            "title": "$:/language/Docs/Fields/modifier",
            "text": "The tiddler title associated with the person who last modified a tiddler"
        },
        "$:/language/Docs/Fields/name": {
            "title": "$:/language/Docs/Fields/name",
            "text": "The human readable name associated with a plugin tiddler"
        },
        "$:/language/Docs/Fields/plugin-priority": {
            "title": "$:/language/Docs/Fields/plugin-priority",
            "text": "A numerical value indicating the priority of a plugin tiddler"
        },
        "$:/language/Docs/Fields/plugin-type": {
            "title": "$:/language/Docs/Fields/plugin-type",
            "text": "The type of plugin in a plugin tiddler"
        },
        "$:/language/Docs/Fields/revision": {
            "title": "$:/language/Docs/Fields/revision",
            "text": "The revision of the tiddler held at the server"
        },
        "$:/language/Docs/Fields/released": {
            "title": "$:/language/Docs/Fields/released",
            "text": "Date of a TiddlyWiki release"
        },
        "$:/language/Docs/Fields/source": {
            "title": "$:/language/Docs/Fields/source",
            "text": "The source URL associated with a tiddler"
        },
        "$:/language/Docs/Fields/subtitle": {
            "title": "$:/language/Docs/Fields/subtitle",
            "text": "The subtitle text for a wizard"
        },
        "$:/language/Docs/Fields/tags": {
            "title": "$:/language/Docs/Fields/tags",
            "text": "A list of tags associated with a tiddler"
        },
        "$:/language/Docs/Fields/text": {
            "title": "$:/language/Docs/Fields/text",
            "text": "The body text of a tiddler"
        },
        "$:/language/Docs/Fields/throttle.refresh": {
            "title": "$:/language/Docs/Fields/throttle.refresh",
            "text": "If present, throttles refreshes of this tiddler"
        },
        "$:/language/Docs/Fields/title": {
            "title": "$:/language/Docs/Fields/title",
            "text": "The unique name of a tiddler"
        },
        "$:/language/Docs/Fields/toc-link": {
            "title": "$:/language/Docs/Fields/toc-link",
            "text": "Suppresses the tiddler's link in a Table of Contents tree if set to: ''no''"
        },
        "$:/language/Docs/Fields/type": {
            "title": "$:/language/Docs/Fields/type",
            "text": "The content type of a tiddler"
        },
        "$:/language/Docs/Fields/version": {
            "title": "$:/language/Docs/Fields/version",
            "text": "Version information for a plugin"
        },
        "$:/language/Docs/Fields/_is_skinny": {
            "title": "$:/language/Docs/Fields/_is_skinny",
            "text": "If present, indicates that the tiddler text field must be loaded from the server"
        },
        "$:/language/Filters/AllTiddlers": {
            "title": "$:/language/Filters/AllTiddlers",
            "text": "All tiddlers except system tiddlers"
        },
        "$:/language/Filters/RecentSystemTiddlers": {
            "title": "$:/language/Filters/RecentSystemTiddlers",
            "text": "Recently modified tiddlers, including system tiddlers"
        },
        "$:/language/Filters/RecentTiddlers": {
            "title": "$:/language/Filters/RecentTiddlers",
            "text": "Recently modified tiddlers"
        },
        "$:/language/Filters/AllTags": {
            "title": "$:/language/Filters/AllTags",
            "text": "All tags except system tags"
        },
        "$:/language/Filters/Missing": {
            "title": "$:/language/Filters/Missing",
            "text": "Missing tiddlers"
        },
        "$:/language/Filters/Drafts": {
            "title": "$:/language/Filters/Drafts",
            "text": "Draft tiddlers"
        },
        "$:/language/Filters/Orphans": {
            "title": "$:/language/Filters/Orphans",
            "text": "Orphan tiddlers"
        },
        "$:/language/Filters/SystemTiddlers": {
            "title": "$:/language/Filters/SystemTiddlers",
            "text": "System tiddlers"
        },
        "$:/language/Filters/ShadowTiddlers": {
            "title": "$:/language/Filters/ShadowTiddlers",
            "text": "Shadow tiddlers"
        },
        "$:/language/Filters/OverriddenShadowTiddlers": {
            "title": "$:/language/Filters/OverriddenShadowTiddlers",
            "text": "Overridden shadow tiddlers"
        },
        "$:/language/Filters/SessionTiddlers": {
            "title": "$:/language/Filters/SessionTiddlers",
            "text": "Tiddlers modified since the wiki was loaded"
        },
        "$:/language/Filters/SystemTags": {
            "title": "$:/language/Filters/SystemTags",
            "text": "System tags"
        },
        "$:/language/Filters/StoryList": {
            "title": "$:/language/Filters/StoryList",
            "text": "Tiddlers in the story river, excluding <$text text=\"$:/AdvancedSearch\"/>"
        },
        "$:/language/Filters/TypedTiddlers": {
            "title": "$:/language/Filters/TypedTiddlers",
            "text": "Non wiki-text tiddlers"
        },
        "GettingStarted": {
            "title": "GettingStarted",
            "text": "\\define lingo-base() $:/language/ControlPanel/Basics/\nWelcome to ~TiddlyWiki and the ~TiddlyWiki community\n\nBefore you start storing important information in ~TiddlyWiki it is vital to make sure that you can reliably save changes. See https://tiddlywiki.com/#GettingStarted for details\n\n!! Set up this ~TiddlyWiki\n\n<div class=\"tc-control-panel\">\n\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n</div>\n\nSee the [[control panel|$:/ControlPanel]] for more options.\n"
        },
        "$:/language/Help/build": {
            "title": "$:/language/Help/build",
            "description": "Automatically run configured commands",
            "text": "Build the specified build targets for the current wiki. If no build targets are specified then all available targets will be built.\n\n```\n--build <target> [<target> ...]\n```\n\nBuild targets are defined in the `tiddlywiki.info` file of a wiki folder.\n\n"
        },
        "$:/language/Help/clearpassword": {
            "title": "$:/language/Help/clearpassword",
            "description": "Clear a password for subsequent crypto operations",
            "text": "Clear the password for subsequent crypto operations\n\n```\n--clearpassword\n```\n"
        },
        "$:/language/Help/default": {
            "title": "$:/language/Help/default",
            "text": "\\define commandTitle()\n$:/language/Help/$(command)$\n\\end\n```\nusage: tiddlywiki [<wikifolder>] [--<command> [<args>...]...]\n```\n\nAvailable commands:\n\n<ul>\n<$list filter=\"[commands[]sort[title]]\" variable=\"command\">\n<li><$link to=<<commandTitle>>><$macrocall $name=\"command\" $type=\"text/plain\" $output=\"text/plain\"/></$link>: <$transclude tiddler=<<commandTitle>> field=\"description\"/></li>\n</$list>\n</ul>\n\nTo get detailed help on a command:\n\n```\ntiddlywiki --help <command>\n```\n"
        },
        "$:/language/Help/deletetiddlers": {
            "title": "$:/language/Help/deletetiddlers",
            "description": "Deletes a group of tiddlers",
            "text": "<<.from-version \"5.1.20\">> Deletes a group of tiddlers identified by a filter.\n\n```\n--deletetiddlers <filter>\n```\n"
        },
        "$:/language/Help/editions": {
            "title": "$:/language/Help/editions",
            "description": "Lists the available editions of TiddlyWiki",
            "text": "Lists the names and descriptions of the available editions. You can create a new wiki of a specified edition with the `--init` command.\n\n```\n--editions\n```\n"
        },
        "$:/language/Help/fetch": {
            "title": "$:/language/Help/fetch",
            "description": "Fetch tiddlers from wiki by URL",
            "text": "Fetch one or more files over HTTP/HTTPS, and import the tiddlers matching a filter, optionally transforming the incoming titles.\n\n```\n--fetch file <url> <import-filter> <transform-filter>\n--fetch files <url-filter> <import-filter> <transform-filter>\n--fetch raw-file <url> <transform-filter>\n--fetch raw-files <url-filter> <transform-filter>\n```\n\nThe \"file\" and \"files\" variants fetch the specified files and attempt to import the tiddlers within them (the same processing as if the files were dragged into the browser window). The \"raw-file\" and \"raw-files\" variants fetch the specified files and then store the raw file data in tiddlers, without applying the import logic.\n\nWith the \"file\" and \"raw-file\" variants only a single file is fetched and the first parameter is the URL of the file to read.\n\nWith the \"files\" and \"raw-files\" variants, multiple files are fetched and the first parameter is a filter yielding a list of URLs of the files to read. For example, given a set of tiddlers tagged \"remote-server\" that have a field \"url\" the filter `[tag[remote-server]get[url]]` will retrieve all the available URLs.\n\nFor the \"file\" and \"files\" variants, the `<import-filter>` parameter specifies a filter determining which tiddlers are imported. It defaults to `[all[tiddlers]]` if not provided.\n\nFor all variants, the `<transform-filter>` parameter specifies an optional filter that transforms the titles of the imported tiddlers. For example, `[addprefix[$:/myimports/]]` would add the prefix `$:/myimports/` to each title.\n\nPreceding the `--fetch` command with `--verbose` will output progress information during the import.\n\nNote that TiddlyWiki will not fetch an older version of an already loaded plugin.\n\nThe following example retrieves all the non-system tiddlers from https://tiddlywiki.com and saves them to a JSON file:\n\n```\ntiddlywiki --verbose --fetch file \"https://tiddlywiki.com/\" \"[!is[system]]\" \"\" --rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[!is[system]]\"\n```\n\nThe following example retrieves the \"favicon\" file from tiddlywiki.com and saves it in a file called \"output.ico\". Note that the intermediate tiddler \"Icon Tiddler\" is quoted in the \"--fetch\" command because it is being used as a transformation filter to replace the default title, while there are no quotes for the \"--savetiddler\" command because it is being used directly as a title.\n\n```\ntiddlywiki --verbose --fetch raw-file \"https://tiddlywiki.com/favicon.ico\" \"[[Icon Tiddler]]\" --savetiddler \"Icon Tiddler\" output.ico\n```\n\n"
        },
        "$:/language/Help/help": {
            "title": "$:/language/Help/help",
            "description": "Display help for TiddlyWiki commands",
            "text": "Displays help text for a command:\n\n```\n--help [<command>]\n```\n\nIf the command name is omitted then a list of available commands is displayed.\n"
        },
        "$:/language/Help/import": {
            "title": "$:/language/Help/import",
            "description": "Import tiddlers from a file",
            "text": "Import tiddlers from TiddlyWiki (`.html`), `.tiddler`, `.tid`, `.json` or other local files. The deserializer must be explicitly specified, unlike the `load` command which infers the deserializer from the file extension.\n\n```\n--import <filepath> <deserializer> [<title>] [<encoding>]\n```\n\nThe deserializers in the core include:\n\n* application/javascript\n* application/json\n* application/x-tiddler\n* application/x-tiddler-html-div\n* application/x-tiddlers\n* text/html\n* text/plain\n\nThe title of the imported tiddler defaults to the filename.\n\nThe encoding defaults to \"utf8\", but can be \"base64\" for importing binary files.\n\nNote that TiddlyWiki will not import an older version of an already loaded plugin.\n"
        },
        "$:/language/Help/init": {
            "title": "$:/language/Help/init",
            "description": "Initialise a new wiki folder",
            "text": "Initialise an empty [[WikiFolder|WikiFolders]] with a copy of the specified edition.\n\n```\n--init <edition> [<edition> ...]\n```\n\nFor example:\n\n```\ntiddlywiki ./MyWikiFolder --init empty\n```\n\nNote:\n\n* The wiki folder directory will be created if necessary\n* The \"edition\" defaults to ''empty''\n* The init command will fail if the wiki folder is not empty\n* The init command removes any `includeWikis` definitions in the edition's `tiddlywiki.info` file\n* When multiple editions are specified, editions initialised later will overwrite any files shared with earlier editions (so, the final `tiddlywiki.info` file will be copied from the last edition)\n* `--editions` returns a list of available editions\n"
        },
        "$:/language/Help/listen": {
            "title": "$:/language/Help/listen",
            "description": "Provides an HTTP server interface to TiddlyWiki",
            "text": "Serves a wiki over HTTP.\n\nThe listen command uses NamedCommandParameters:\n\n```\n--listen [<name>=<value>]...\n```\n\nAll parameters are optional with safe defaults, and can be specified in any order. The recognised parameters are:\n\n* ''host'' - optional hostname to serve from (defaults to \"127.0.0.1\" aka \"localhost\")\n* ''path-prefix'' - optional prefix for paths\n* ''port'' - port number on which to listen; non-numeric values are interpreted as a system environment variable from which the port number is extracted (defaults to \"8080\")\n* ''credentials'' - pathname of credentials CSV file (relative to wiki folder)\n* ''anon-username'' - the username for signing edits for anonymous users\n* ''username'' - optional username for basic authentication\n* ''password'' - optional password for basic authentication\n* ''authenticated-user-header'' - optional name of header to be used for trusted authentication\n* ''readers'' - comma separated list of principals allowed to read from this wiki\n* ''writers'' - comma separated list of principals allowed to write to this wiki\n* ''csrf-disable'' - set to \"yes\" to disable CSRF checks (defaults to \"no\")\n* ''root-tiddler'' - the tiddler to serve at the root (defaults to \"$:/core/save/all\")\n* ''root-render-type'' - the content type to which the root tiddler should be rendered (defaults to \"text/plain\")\n* ''root-serve-type'' - the content type with which the root tiddler should be served (defaults to \"text/html\")\n* ''tls-cert'' - pathname of TLS certificate file (relative to wiki folder)\n* ''tls-key'' - pathname of TLS key file (relative to wiki folder)\n* ''debug-level'' - optional debug level; set to \"debug\" to view request details (defaults to \"none\")\n* ''gzip'' - set to \"yes\" to enable gzip compression for some http endpoints (defaults to \"no\")\n\nFor information on opening up your instance to the entire local network, and possible security concerns, see the WebServer tiddler at TiddlyWiki.com.\n\n"
        },
        "$:/language/Help/load": {
            "title": "$:/language/Help/load",
            "description": "Load tiddlers from a file",
            "text": "Load tiddlers from TiddlyWiki (`.html`), `.tiddler`, `.tid`, `.json` or other local files. The processing applied to incoming files is determined by the file extension. Use the alternative `import` command if you need to specify the deserializer and encoding explicitly.\n\n```\n--load <filepath> [noerror]\n--load <dirpath> [noerror]\n```\n\nBy default, the load command raises an error if no tiddlers are found. The error can be suppressed by providing the optional \"noerror\" parameter.\n\nTo load tiddlers from an encrypted TiddlyWiki file you should first specify the password with the PasswordCommand. For example:\n\n```\ntiddlywiki ./MyWiki --password pa55w0rd --load my_encrypted_wiki.html\n```\n\nNote that TiddlyWiki will not load an older version of an already loaded plugin.\n"
        },
        "$:/language/Help/makelibrary": {
            "title": "$:/language/Help/makelibrary",
            "description": "Construct library plugin required by upgrade process",
            "text": "Constructs the `$:/UpgradeLibrary` tiddler for the upgrade process.\n\nThe upgrade library is formatted as an ordinary plugin tiddler with the plugin type `library`. It contains a copy of each of the plugins, themes and language packs available within the TiddlyWiki5 repository.\n\nThis command is intended for internal use; it is only relevant to users constructing a custom upgrade procedure.\n\n```\n--makelibrary <title>\n```\n\nThe title argument defaults to `$:/UpgradeLibrary`.\n"
        },
        "$:/language/Help/notfound": {
            "title": "$:/language/Help/notfound",
            "text": "No such help item"
        },
        "$:/language/Help/output": {
            "title": "$:/language/Help/output",
            "description": "Set the base output directory for subsequent commands",
            "text": "Sets the base output directory for subsequent commands. The default output directory is the `output` subdirectory of the edition directory.\n\n```\n--output <pathname>\n```\n\nIf the specified pathname is relative then it is resolved relative to the current working directory. For example `--output .` sets the output directory to the current working directory.\n\n"
        },
        "$:/language/Help/password": {
            "title": "$:/language/Help/password",
            "description": "Set a password for subsequent crypto operations",
            "text": "Set a password for subsequent crypto operations\n\n```\n--password <password>\n```\n\n''Note'': This should not be used for serving TiddlyWiki with password protection. Instead, see the password option under the [[ServerCommand]].\n"
        },
        "$:/language/Help/render": {
            "title": "$:/language/Help/render",
            "description": "Renders individual tiddlers to files",
            "text": "Render individual tiddlers identified by a filter and save the results to the specified files.\n\nOptionally, the title of a template tiddler can be specified. In this case, instead of directly rendering each tiddler, the template tiddler is rendered with the \"currentTiddler\" variable set to the title of the tiddler that is being rendered.\n\nA name and value for an additional variable may optionally also be specified.\n\n```\n--render <tiddler-filter> [<filename-filter>] [<render-type>] [<template>] [<name>] [<value>]\n```\n\n* ''tiddler-filter'': A filter identifying the tiddler(s) to be rendered\n* ''filename-filter'': Optional filter transforming tiddler titles into pathnames. If omitted, defaults to `[is[tiddler]addsuffix[.html]]`, which uses the unchanged tiddler title as the filename\n* ''render-type'': Optional render type: `text/html` (the default) returns the full HTML text and `text/plain` just returns the text content (ie it ignores HTML tags and other unprintable material)\n* ''template'': Optional template through which each tiddler is rendered\n* ''name'': Name of optional variable\n* ''value'': Value of optional variable\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nNotes:\n\n* The output directory is not cleared of any existing files\n* Any missing directories in the path to the filename are automatically created.\n* When referring to a tiddler with spaces in its title, take care to use both the quotes required by your shell and also TiddlyWiki's double square brackets : `--render \"[[Motovun Jack.jpg]]\"`\n* The filename filter is evaluated with the selected items being set to the title of the tiddler currently being rendered, allowing the title to be used as the basis for computing the filename. For example `[encodeuricomponent[]addprefix[static/]]` applies URI encoding to each title, and then adds the prefix `static/`\n* The `--render` command is a more flexible replacement for both the `--rendertiddler` and `--rendertiddlers` commands, which are deprecated\n\nExamples:\n\n* `--render \"[!is[system]]\" \"[encodeuricomponent[]addprefix[tiddlers/]addsuffix[.html]]\"` -- renders all non-system tiddlers as files in the subdirectory \"tiddlers\" with URL-encoded titles and the extension HTML\n\n"
        },
        "$:/language/Help/rendertiddler": {
            "title": "$:/language/Help/rendertiddler",
            "description": "Render an individual tiddler as a specified ContentType",
            "text": "(Note: The `--rendertiddler` command is deprecated in favour of the new, more flexible `--render` command)\n\nRender an individual tiddler as a specified ContentType, defaulting to `text/html` and save it to the specified filename.\n\nOptionally the title of a template tiddler can be specified, in which case the template tiddler is rendered with the \"currentTiddler\" variable set to the tiddler that is being rendered (the first parameter value).\n\nA name and value for an additional variable may optionally also be specified.\n\n```\n--rendertiddler <title> <filename> [<type>] [<template>] [<name>] [<value>]\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n\nFor example, the following command saves all tiddlers matching the filter `[tag[done]]` to a JSON file titled `output.json` by employing the core template `$:/core/templates/exporters/JsonFile`.\n\n```\n--rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[tag[done]]\"\n```\n"
        },
        "$:/language/Help/rendertiddlers": {
            "title": "$:/language/Help/rendertiddlers",
            "description": "Render tiddlers matching a filter to a specified ContentType",
            "text": "(Note: The `--rendertiddlers` command is deprecated in favour of the new, more flexible `--render` command)\n\nRender a set of tiddlers matching a filter to separate files of a specified ContentType (defaults to `text/html`) and extension (defaults to `.html`).\n\n```\n--rendertiddlers <filter> <template> <pathname> [<type>] [<extension>] [\"noclean\"]\n```\n\nFor example:\n\n```\n--rendertiddlers [!is[system]] $:/core/templates/static.tiddler.html ./static text/plain\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny files in the target directory are deleted unless the ''noclean'' flag is specified. The target directory is recursively created if it is missing.\n"
        },
        "$:/language/Help/save": {
            "title": "$:/language/Help/save",
            "description": "Saves individual raw tiddlers to files",
            "text": "Saves individual tiddlers identified by a filter in their raw text or binary format to the specified files.\n\n```\n--save <tiddler-filter> <filename-filter>\n```\n\n* ''tiddler-filter'': A filter identifying the tiddler(s) to be saved\n* ''filename-filter'': Optional filter transforming tiddler titles into pathnames. If omitted, defaults to `[is[tiddler]]`, which uses the unchanged tiddler title as the filename\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nNotes:\n\n* The output directory is not cleared of any existing files\n* Any missing directories in the path to the filename are automatically created.\n* When saving a tiddler with spaces in its title, take care to use both the quotes required by your shell and also TiddlyWiki's double square brackets : `--save \"[[Motovun Jack.jpg]]\"`\n* The filename filter is evaluated with the selected items being set to the title of the tiddler currently being saved, allowing the title to be used as the basis for computing the filename. For example `[encodeuricomponent[]addprefix[static/]]` applies URI encoding to each title, and then adds the prefix `static/`\n* The `--save` command is a more flexible replacement for both the `--savetiddler` and `--savetiddlers` commands, which are deprecated\n\nExamples:\n\n* `--save \"[!is[system]is[image]]\" \"[encodeuricomponent[]addprefix[tiddlers/]]\"` -- saves all non-system image tiddlers as files in the subdirectory \"tiddlers\" with URL-encoded titles\n"
        },
        "$:/language/Help/savetiddler": {
            "title": "$:/language/Help/savetiddler",
            "description": "Saves a raw tiddler to a file",
            "text": "(Note: The `--savetiddler` command is deprecated in favour of the new, more flexible `--save` command)\n\nSaves an individual tiddler in its raw text or binary format to the specified filename.\n\n```\n--savetiddler <title> <filename>\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n"
        },
        "$:/language/Help/savetiddlers": {
            "title": "$:/language/Help/savetiddlers",
            "description": "Saves a group of raw tiddlers to a directory",
            "text": "(Note: The `--savetiddlers` command is deprecated in favour of the new, more flexible `--save` command)\n\nSaves a group of tiddlers in their raw text or binary format to the specified directory.\n\n```\n--savetiddlers <filter> <pathname> [\"noclean\"]\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nThe output directory is cleared of existing files before saving the specified files. The deletion can be disabled by specifying the ''noclean'' flag.\n\nAny missing directories in the pathname are automatically created.\n"
        },
        "$:/language/Help/savewikifolder": {
            "title": "$:/language/Help/savewikifolder",
            "description": "Saves a wiki to a new wiki folder",
            "text": "<<.from-version \"5.1.20\">> Saves the current wiki as a wiki folder, including tiddlers, plugins and configuration:\n\n```\n--savewikifolder <wikifolderpath> [<filter>]\n```\n\n* The target wiki folder must be empty or non-existent\n* The filter specifies which tiddlers should be included. It is optional, defaulting to `[all[tiddlers]]`\n* Plugins from the official plugin library are replaced with references to those plugins in the `tiddlywiki.info` file\n* Custom plugins are unpacked into their own folder\n\nA common usage is to convert a TiddlyWiki HTML file into a wiki folder:\n\n```\ntiddlywiki --load ./mywiki.html --savewikifolder ./mywikifolder\n```\n"
        },
        "$:/language/Help/server": {
            "title": "$:/language/Help/server",
            "description": "Provides an HTTP server interface to TiddlyWiki (deprecated in favour of the new listen command)",
            "text": "Legacy command to serve a wiki over HTTP.\n\n```\n--server <port> <root-tiddler> <root-render-type> <root-serve-type> <username> <password> <host> <path-prefix> <debug-level>\n```\n\nThe parameters are:\n\n* ''port'' - port number on which to listen; non-numeric values are interpreted as a system environment variable from which the port number is extracted (defaults to \"8080\")\n* ''root-tiddler'' - the tiddler to serve at the root (defaults to \"$:/core/save/all\")\n* ''root-render-type'' - the content type to which the root tiddler should be rendered (defaults to \"text/plain\")\n* ''root-serve-type'' - the content type with which the root tiddler should be served (defaults to \"text/html\")\n* ''username'' - the default username for signing edits\n* ''password'' - optional password for basic authentication\n* ''host'' - optional hostname to serve from (defaults to \"127.0.0.1\" aka \"localhost\")\n* ''path-prefix'' - optional prefix for paths\n* ''debug-level'' - optional debug level; set to \"debug\" to view request details (defaults to \"none\")\n\nIf the password parameter is specified then the browser will prompt the user for the username and password. Note that the password is transmitted in plain text so this implementation should only be used on a trusted network or over HTTPS.\n\nFor example:\n\n```\n--server 8080 $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n\nThe username and password can be specified as empty strings if you need to set the hostname or pathprefix and don't want to require a password.\n\n\n```\n--server 8080 $:/core/save/all text/plain text/html \"\" \"\" 192.168.0.245\n```\n\nUsing an address like this exposes your system to the local network. For information on opening up your instance to the entire local network, and possible security concerns, see the WebServer tiddler at TiddlyWiki.com.\n\nTo run multiple TiddlyWiki servers at the same time you'll need to put each one on a different port. It can be useful to use an environment variable to pass the port number to the Node.js process. This example references an environment variable called \"MY_PORT_NUMBER\":\n\n```\n--server MY_PORT_NUMBER $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n"
        },
        "$:/language/Help/setfield": {
            "title": "$:/language/Help/setfield",
            "description": "Prepares external tiddlers for use",
            "text": "//Note that this command is experimental and may change or be replaced before being finalised//\n\nSets the specified field of a group of tiddlers to the result of wikifying a template tiddler with the `currentTiddler` variable set to the tiddler.\n\n```\n--setfield <filter> <fieldname> <templatetitle> <rendertype>\n```\n\nThe parameters are:\n\n* ''filter'' - filter identifying the tiddlers to be affected\n* ''fieldname'' - the field to modify (defaults to \"text\")\n* ''templatetitle'' - the tiddler to wikify into the specified field. If blank or missing then the specified field is deleted\n* ''rendertype'' - the text type to render (defaults to \"text/plain\"; \"text/html\" can be used to include HTML tags)\n"
        },
        "$:/language/Help/unpackplugin": {
            "title": "$:/language/Help/unpackplugin",
            "description": "Unpack the payload tiddlers from a plugin",
            "text": "Extract the payload tiddlers from a plugin, creating them as ordinary tiddlers:\n\n```\n--unpackplugin <title>\n```\n"
        },
        "$:/language/Help/verbose": {
            "title": "$:/language/Help/verbose",
            "description": "Triggers verbose output mode",
            "text": "Triggers verbose output, useful for debugging\n\n```\n--verbose\n```\n"
        },
        "$:/language/Help/version": {
            "title": "$:/language/Help/version",
            "description": "Displays the version number of TiddlyWiki",
            "text": "Displays the version number of TiddlyWiki.\n\n```\n--version\n```\n"
        },
        "$:/language/Import/Imported/Hint": {
            "title": "$:/language/Import/Imported/Hint",
            "text": "The following tiddlers were imported:"
        },
        "$:/language/Import/Listing/Cancel/Caption": {
            "title": "$:/language/Import/Listing/Cancel/Caption",
            "text": "Cancel"
        },
        "$:/language/Import/Listing/Hint": {
            "title": "$:/language/Import/Listing/Hint",
            "text": "These tiddlers are ready to import:"
        },
        "$:/language/Import/Listing/Import/Caption": {
            "title": "$:/language/Import/Listing/Import/Caption",
            "text": "Import"
        },
        "$:/language/Import/Listing/Select/Caption": {
            "title": "$:/language/Import/Listing/Select/Caption",
            "text": "Select"
        },
        "$:/language/Import/Listing/Status/Caption": {
            "title": "$:/language/Import/Listing/Status/Caption",
            "text": "Status"
        },
        "$:/language/Import/Listing/Title/Caption": {
            "title": "$:/language/Import/Listing/Title/Caption",
            "text": "Title"
        },
        "$:/language/Import/Listing/Preview": {
            "title": "$:/language/Import/Listing/Preview",
            "text": "Preview:"
        },
        "$:/language/Import/Listing/Preview/Text": {
            "title": "$:/language/Import/Listing/Preview/Text",
            "text": "Text"
        },
        "$:/language/Import/Listing/Preview/TextRaw": {
            "title": "$:/language/Import/Listing/Preview/TextRaw",
            "text": "Text (Raw)"
        },
        "$:/language/Import/Listing/Preview/Fields": {
            "title": "$:/language/Import/Listing/Preview/Fields",
            "text": "Fields"
        },
        "$:/language/Import/Listing/Preview/Diff": {
            "title": "$:/language/Import/Listing/Preview/Diff",
            "text": "Diff"
        },
        "$:/language/Import/Listing/Preview/DiffFields": {
            "title": "$:/language/Import/Listing/Preview/DiffFields",
            "text": "Diff (Fields)"
        },
        "$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible": {
            "title": "$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible",
            "text": "Blocked incompatible or obsolete plugin"
        },
        "$:/language/Import/Upgrader/Plugins/Suppressed/Version": {
            "title": "$:/language/Import/Upgrader/Plugins/Suppressed/Version",
            "text": "Blocked plugin (due to incoming <<incoming>> being older than existing <<existing>>)"
        },
        "$:/language/Import/Upgrader/Plugins/Upgraded": {
            "title": "$:/language/Import/Upgrader/Plugins/Upgraded",
            "text": "Upgraded plugin from <<incoming>> to <<upgraded>>"
        },
        "$:/language/Import/Upgrader/State/Suppressed": {
            "title": "$:/language/Import/Upgrader/State/Suppressed",
            "text": "Blocked temporary state tiddler"
        },
        "$:/language/Import/Upgrader/System/Suppressed": {
            "title": "$:/language/Import/Upgrader/System/Suppressed",
            "text": "Blocked system tiddler"
        },
        "$:/language/Import/Upgrader/System/Warning": {
            "title": "$:/language/Import/Upgrader/System/Warning",
            "text": "Core module tiddler"
        },
        "$:/language/Import/Upgrader/System/Alert": {
            "title": "$:/language/Import/Upgrader/System/Alert",
            "text": "You are about to import a tiddler that will overwrite a core module tiddler. This is not recommended as it may make the system unstable"
        },
        "$:/language/Import/Upgrader/ThemeTweaks/Created": {
            "title": "$:/language/Import/Upgrader/ThemeTweaks/Created",
            "text": "Migrated theme tweak from <$text text=<<from>>/>"
        },
        "$:/language/AboveStory/ClassicPlugin/Warning": {
            "title": "$:/language/AboveStory/ClassicPlugin/Warning",
            "text": "It looks like you are trying to load a plugin designed for ~TiddlyWiki Classic. Please note that [[these plugins do not work with TiddlyWiki version 5.x.x|https://tiddlywiki.com/#TiddlyWikiClassic]]. ~TiddlyWiki Classic plugins detected:"
        },
        "$:/language/BinaryWarning/Prompt": {
            "title": "$:/language/BinaryWarning/Prompt",
            "text": "This tiddler contains binary data"
        },
        "$:/language/ClassicWarning/Hint": {
            "title": "$:/language/ClassicWarning/Hint",
            "text": "This tiddler is written in TiddlyWiki Classic wiki text format, which is not fully compatible with TiddlyWiki version 5. See https://tiddlywiki.com/static/Upgrading.html for more details."
        },
        "$:/language/ClassicWarning/Upgrade/Caption": {
            "title": "$:/language/ClassicWarning/Upgrade/Caption",
            "text": "upgrade"
        },
        "$:/language/CloseAll/Button": {
            "title": "$:/language/CloseAll/Button",
            "text": "close all"
        },
        "$:/language/ColourPicker/Recent": {
            "title": "$:/language/ColourPicker/Recent",
            "text": "Recent:"
        },
        "$:/language/ConfirmCancelTiddler": {
            "title": "$:/language/ConfirmCancelTiddler",
            "text": "Do you wish to discard changes to the tiddler \"<$text text=<<title>>/>\"?"
        },
        "$:/language/ConfirmDeleteTiddler": {
            "title": "$:/language/ConfirmDeleteTiddler",
            "text": "Do you wish to delete the tiddler \"<$text text=<<title>>/>\"?"
        },
        "$:/language/ConfirmOverwriteTiddler": {
            "title": "$:/language/ConfirmOverwriteTiddler",
            "text": "Do you wish to overwrite the tiddler \"<$text text=<<title>>/>\"?"
        },
        "$:/language/ConfirmEditShadowTiddler": {
            "title": "$:/language/ConfirmEditShadowTiddler",
            "text": "You are about to edit a ShadowTiddler. Any changes will override the default system making future upgrades non-trivial. Are you sure you want to edit \"<$text text=<<title>>/>\"?"
        },
        "$:/language/Count": {
            "title": "$:/language/Count",
            "text": "count"
        },
        "$:/language/DefaultNewTiddlerTitle": {
            "title": "$:/language/DefaultNewTiddlerTitle",
            "text": "New Tiddler"
        },
        "$:/language/Diffs/CountMessage": {
            "title": "$:/language/Diffs/CountMessage",
            "text": "<<diff-count>> differences"
        },
        "$:/language/DropMessage": {
            "title": "$:/language/DropMessage",
            "text": "Drop here (or use the 'Escape' key to cancel)"
        },
        "$:/language/Encryption/Cancel": {
            "title": "$:/language/Encryption/Cancel",
            "text": "Cancel"
        },
        "$:/language/Encryption/ConfirmClearPassword": {
            "title": "$:/language/Encryption/ConfirmClearPassword",
            "text": "Do you wish to clear the password? This will remove the encryption applied when saving this wiki"
        },
        "$:/language/Encryption/PromptSetPassword": {
            "title": "$:/language/Encryption/PromptSetPassword",
            "text": "Set a new password for this TiddlyWiki"
        },
        "$:/language/Encryption/Username": {
            "title": "$:/language/Encryption/Username",
            "text": "Username"
        },
        "$:/language/Encryption/Password": {
            "title": "$:/language/Encryption/Password",
            "text": "Password"
        },
        "$:/language/Encryption/RepeatPassword": {
            "title": "$:/language/Encryption/RepeatPassword",
            "text": "Repeat password"
        },
        "$:/language/Encryption/PasswordNoMatch": {
            "title": "$:/language/Encryption/PasswordNoMatch",
            "text": "Passwords do not match"
        },
        "$:/language/Encryption/SetPassword": {
            "title": "$:/language/Encryption/SetPassword",
            "text": "Set password"
        },
        "$:/language/Error/Caption": {
            "title": "$:/language/Error/Caption",
            "text": "Error"
        },
        "$:/language/Error/EditConflict": {
            "title": "$:/language/Error/EditConflict",
            "text": "File changed on server"
        },
        "$:/language/Error/Filter": {
            "title": "$:/language/Error/Filter",
            "text": "Filter error"
        },
        "$:/language/Error/FilterSyntax": {
            "title": "$:/language/Error/FilterSyntax",
            "text": "Syntax error in filter expression"
        },
        "$:/language/Error/IsFilterOperator": {
            "title": "$:/language/Error/IsFilterOperator",
            "text": "Filter Error: Unknown operand for the 'is' filter operator"
        },
        "$:/language/Error/LoadingPluginLibrary": {
            "title": "$:/language/Error/LoadingPluginLibrary",
            "text": "Error loading plugin library"
        },
        "$:/language/Error/NetworkErrorAlert": {
            "title": "$:/language/Error/NetworkErrorAlert",
            "text": "`<h2>''Network Error''</h2>It looks like the connection to the server has been lost. This may indicate a problem with your network connection. Please attempt to restore network connectivity before continuing.<br><br>''Any unsaved changes will be automatically synchronised when connectivity is restored''.`"
        },
        "$:/language/Error/RecursiveTransclusion": {
            "title": "$:/language/Error/RecursiveTransclusion",
            "text": "Recursive transclusion error in transclude widget"
        },
        "$:/language/Error/RetrievingSkinny": {
            "title": "$:/language/Error/RetrievingSkinny",
            "text": "Error retrieving skinny tiddler list"
        },
        "$:/language/Error/SavingToTWEdit": {
            "title": "$:/language/Error/SavingToTWEdit",
            "text": "Error saving to TWEdit"
        },
        "$:/language/Error/WhileSaving": {
            "title": "$:/language/Error/WhileSaving",
            "text": "Error while saving"
        },
        "$:/language/Error/XMLHttpRequest": {
            "title": "$:/language/Error/XMLHttpRequest",
            "text": "XMLHttpRequest error code"
        },
        "$:/language/InternalJavaScriptError/Title": {
            "title": "$:/language/InternalJavaScriptError/Title",
            "text": "Internal JavaScript Error"
        },
        "$:/language/InternalJavaScriptError/Hint": {
            "title": "$:/language/InternalJavaScriptError/Hint",
            "text": "Well, this is embarrassing. It is recommended that you restart TiddlyWiki by refreshing your browser"
        },
        "$:/language/InvalidFieldName": {
            "title": "$:/language/InvalidFieldName",
            "text": "Illegal characters in field name \"<$text text=<<fieldName>>/>\". Fields can only contain lowercase letters, digits and the characters underscore (`_`), hyphen (`-`) and period (`.`)"
        },
        "$:/language/LazyLoadingWarning": {
            "title": "$:/language/LazyLoadingWarning",
            "text": "<p>Trying to load external content from ''<$text text={{!!_canonical_uri}}/>''</p><p>If this message doesn't disappear, either the tiddler content type doesn't match the type of the external content, or you may be using a browser that doesn't support external content for wikis loaded as standalone files. See https://tiddlywiki.com/#ExternalText</p>"
        },
        "$:/language/LoginToTiddlySpace": {
            "title": "$:/language/LoginToTiddlySpace",
            "text": "Login to TiddlySpace"
        },
        "$:/language/Manager/Controls/FilterByTag/None": {
            "title": "$:/language/Manager/Controls/FilterByTag/None",
            "text": "(none)"
        },
        "$:/language/Manager/Controls/FilterByTag/Prompt": {
            "title": "$:/language/Manager/Controls/FilterByTag/Prompt",
            "text": "Filter by tag:"
        },
        "$:/language/Manager/Controls/Order/Prompt": {
            "title": "$:/language/Manager/Controls/Order/Prompt",
            "text": "Reverse order"
        },
        "$:/language/Manager/Controls/Search/Placeholder": {
            "title": "$:/language/Manager/Controls/Search/Placeholder",
            "text": "Search"
        },
        "$:/language/Manager/Controls/Search/Prompt": {
            "title": "$:/language/Manager/Controls/Search/Prompt",
            "text": "Search:"
        },
        "$:/language/Manager/Controls/Show/Option/Tags": {
            "title": "$:/language/Manager/Controls/Show/Option/Tags",
            "text": "tags"
        },
        "$:/language/Manager/Controls/Show/Option/Tiddlers": {
            "title": "$:/language/Manager/Controls/Show/Option/Tiddlers",
            "text": "tiddlers"
        },
        "$:/language/Manager/Controls/Show/Prompt": {
            "title": "$:/language/Manager/Controls/Show/Prompt",
            "text": "Show:"
        },
        "$:/language/Manager/Controls/Sort/Prompt": {
            "title": "$:/language/Manager/Controls/Sort/Prompt",
            "text": "Sort by:"
        },
        "$:/language/Manager/Item/Colour": {
            "title": "$:/language/Manager/Item/Colour",
            "text": "Colour"
        },
        "$:/language/Manager/Item/Fields": {
            "title": "$:/language/Manager/Item/Fields",
            "text": "Fields"
        },
        "$:/language/Manager/Item/Icon/None": {
            "title": "$:/language/Manager/Item/Icon/None",
            "text": "(none)"
        },
        "$:/language/Manager/Item/Icon": {
            "title": "$:/language/Manager/Item/Icon",
            "text": "Icon"
        },
        "$:/language/Manager/Item/RawText": {
            "title": "$:/language/Manager/Item/RawText",
            "text": "Raw text"
        },
        "$:/language/Manager/Item/Tags": {
            "title": "$:/language/Manager/Item/Tags",
            "text": "Tags"
        },
        "$:/language/Manager/Item/Tools": {
            "title": "$:/language/Manager/Item/Tools",
            "text": "Tools"
        },
        "$:/language/Manager/Item/WikifiedText": {
            "title": "$:/language/Manager/Item/WikifiedText",
            "text": "Wikified text"
        },
        "$:/language/MissingTiddler/Hint": {
            "title": "$:/language/MissingTiddler/Hint",
            "text": "Missing tiddler \"<$text text=<<currentTiddler>>/>\" -- click {{||$:/core/ui/Buttons/edit}} to create"
        },
        "$:/language/No": {
            "title": "$:/language/No",
            "text": "No"
        },
        "$:/language/OfficialPluginLibrary": {
            "title": "$:/language/OfficialPluginLibrary",
            "text": "Official ~TiddlyWiki Plugin Library"
        },
        "$:/language/OfficialPluginLibrary/Hint": {
            "title": "$:/language/OfficialPluginLibrary/Hint",
            "text": "The official ~TiddlyWiki plugin library at tiddlywiki.com. Plugins, themes and language packs are maintained by the core team."
        },
        "$:/language/PluginReloadWarning": {
            "title": "$:/language/PluginReloadWarning",
            "text": "Please save {{$:/core/ui/Buttons/save-wiki}} and reload {{$:/core/ui/Buttons/refresh}} to allow changes to ~JavaScript plugins to take effect"
        },
        "$:/language/RecentChanges/DateFormat": {
            "title": "$:/language/RecentChanges/DateFormat",
            "text": "DDth MMM YYYY"
        },
        "$:/language/SystemTiddler/Tooltip": {
            "title": "$:/language/SystemTiddler/Tooltip",
            "text": "This is a system tiddler"
        },
        "$:/language/SystemTiddlers/Include/Prompt": {
            "title": "$:/language/SystemTiddlers/Include/Prompt",
            "text": "Include system tiddlers"
        },
        "$:/language/TagManager/Colour/Heading": {
            "title": "$:/language/TagManager/Colour/Heading",
            "text": "Colour"
        },
        "$:/language/TagManager/Count/Heading": {
            "title": "$:/language/TagManager/Count/Heading",
            "text": "Count"
        },
        "$:/language/TagManager/Icon/Heading": {
            "title": "$:/language/TagManager/Icon/Heading",
            "text": "Icon"
        },
        "$:/language/TagManager/Icons/None": {
            "title": "$:/language/TagManager/Icons/None",
            "text": "None"
        },
        "$:/language/TagManager/Info/Heading": {
            "title": "$:/language/TagManager/Info/Heading",
            "text": "Info"
        },
        "$:/language/TagManager/Tag/Heading": {
            "title": "$:/language/TagManager/Tag/Heading",
            "text": "Tag"
        },
        "$:/language/Tiddler/DateFormat": {
            "title": "$:/language/Tiddler/DateFormat",
            "text": "DDth MMM YYYY at hh12:0mmam"
        },
        "$:/language/UnsavedChangesWarning": {
            "title": "$:/language/UnsavedChangesWarning",
            "text": "You have unsaved changes in TiddlyWiki"
        },
        "$:/language/Yes": {
            "title": "$:/language/Yes",
            "text": "Yes"
        },
        "$:/language/Modals/Download": {
            "title": "$:/language/Modals/Download",
            "subtitle": "Download changes",
            "footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
            "help": "https://tiddlywiki.com/static/DownloadingChanges.html",
            "text": "Your browser only supports manual saving.\n\nTo save your modified wiki, right click on the download link below and select \"Download file\" or \"Save file\", and then choose the folder and filename.\n\n//You can marginally speed things up by clicking the link with the control key (Windows) or the options/alt key (Mac OS X). You will not be prompted for the folder or filename, but your browser is likely to give it an unrecognisable name -- you may need to rename the file to include an `.html` extension before you can do anything useful with it.//\n\nOn smartphones that do not allow files to be downloaded you can instead bookmark the link, and then sync your bookmarks to a desktop computer from where the wiki can be saved normally.\n"
        },
        "$:/language/Modals/SaveInstructions": {
            "title": "$:/language/Modals/SaveInstructions",
            "subtitle": "Save your work",
            "footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
            "help": "https://tiddlywiki.com/static/SavingChanges.html",
            "text": "Your changes to this wiki need to be saved as a ~TiddlyWiki HTML file.\n\n!!! Desktop browsers\n\n# Select ''Save As'' from the ''File'' menu\n# Choose a filename and location\n#* Some browsers also require you to explicitly specify the file saving format as ''Webpage, HTML only'' or similar\n# Close this tab\n\n!!! Smartphone browsers\n\n# Create a bookmark to this page\n#* If you've got iCloud or Google Sync set up then the bookmark will automatically sync to your desktop where you can open it and save it as above\n# Close this tab\n\n//If you open the bookmark again in Mobile Safari you will see this message again. If you want to go ahead and use the file, just click the ''close'' button below//\n"
        },
        "$:/config/NewJournal/Title": {
            "title": "$:/config/NewJournal/Title",
            "text": "DDth MMM YYYY"
        },
        "$:/config/NewJournal/Text": {
            "title": "$:/config/NewJournal/Text",
            "text": ""
        },
        "$:/config/NewJournal/Tags": {
            "title": "$:/config/NewJournal/Tags",
            "tags": "Journal"
        },
        "$:/language/Notifications/Save/Done": {
            "title": "$:/language/Notifications/Save/Done",
            "text": "Saved wiki"
        },
        "$:/language/Notifications/Save/Starting": {
            "title": "$:/language/Notifications/Save/Starting",
            "text": "Starting to save wiki"
        },
        "$:/language/Notifications/CopiedToClipboard/Succeeded": {
            "title": "$:/language/Notifications/CopiedToClipboard/Succeeded",
            "text": "Copied to clipboard!"
        },
        "$:/language/Notifications/CopiedToClipboard/Failed": {
            "title": "$:/language/Notifications/CopiedToClipboard/Failed",
            "text": "Failed to copy to clipboard!"
        },
        "$:/language/Search/DefaultResults/Caption": {
            "title": "$:/language/Search/DefaultResults/Caption",
            "text": "List"
        },
        "$:/language/Search/Filter/Caption": {
            "title": "$:/language/Search/Filter/Caption",
            "text": "Filter"
        },
        "$:/language/Search/Filter/Hint": {
            "title": "$:/language/Search/Filter/Hint",
            "text": "Search via a [[filter expression|https://tiddlywiki.com/static/Filters.html]]"
        },
        "$:/language/Search/Filter/Matches": {
            "title": "$:/language/Search/Filter/Matches",
            "text": "//<small><<resultCount>> matches</small>//"
        },
        "$:/language/Search/Matches": {
            "title": "$:/language/Search/Matches",
            "text": "//<small><<resultCount>> matches</small>//"
        },
        "$:/language/Search/Matches/All": {
            "title": "$:/language/Search/Matches/All",
            "text": "All matches:"
        },
        "$:/language/Search/Matches/Title": {
            "title": "$:/language/Search/Matches/Title",
            "text": "Title matches:"
        },
        "$:/language/Search/Search": {
            "title": "$:/language/Search/Search",
            "text": "Search"
        },
        "$:/language/Search/Search/TooShort": {
            "title": "$:/language/Search/Search/TooShort",
            "text": "Search text too short"
        },
        "$:/language/Search/Shadows/Caption": {
            "title": "$:/language/Search/Shadows/Caption",
            "text": "Shadows"
        },
        "$:/language/Search/Shadows/Hint": {
            "title": "$:/language/Search/Shadows/Hint",
            "text": "Search for shadow tiddlers"
        },
        "$:/language/Search/Shadows/Matches": {
            "title": "$:/language/Search/Shadows/Matches",
            "text": "//<small><<resultCount>> matches</small>//"
        },
        "$:/language/Search/Standard/Caption": {
            "title": "$:/language/Search/Standard/Caption",
            "text": "Standard"
        },
        "$:/language/Search/Standard/Hint": {
            "title": "$:/language/Search/Standard/Hint",
            "text": "Search for standard tiddlers"
        },
        "$:/language/Search/Standard/Matches": {
            "title": "$:/language/Search/Standard/Matches",
            "text": "//<small><<resultCount>> matches</small>//"
        },
        "$:/language/Search/System/Caption": {
            "title": "$:/language/Search/System/Caption",
            "text": "System"
        },
        "$:/language/Search/System/Hint": {
            "title": "$:/language/Search/System/Hint",
            "text": "Search for system tiddlers"
        },
        "$:/language/Search/System/Matches": {
            "title": "$:/language/Search/System/Matches",
            "text": "//<small><<resultCount>> matches</small>//"
        },
        "$:/language/SideBar/All/Caption": {
            "title": "$:/language/SideBar/All/Caption",
            "text": "All"
        },
        "$:/language/SideBar/Contents/Caption": {
            "title": "$:/language/SideBar/Contents/Caption",
            "text": "Contents"
        },
        "$:/language/SideBar/Drafts/Caption": {
            "title": "$:/language/SideBar/Drafts/Caption",
            "text": "Drafts"
        },
        "$:/language/SideBar/Explorer/Caption": {
            "title": "$:/language/SideBar/Explorer/Caption",
            "text": "Explorer"
        },
        "$:/language/SideBar/Missing/Caption": {
            "title": "$:/language/SideBar/Missing/Caption",
            "text": "Missing"
        },
        "$:/language/SideBar/More/Caption": {
            "title": "$:/language/SideBar/More/Caption",
            "text": "More"
        },
        "$:/language/SideBar/Open/Caption": {
            "title": "$:/language/SideBar/Open/Caption",
            "text": "Open"
        },
        "$:/language/SideBar/Orphans/Caption": {
            "title": "$:/language/SideBar/Orphans/Caption",
            "text": "Orphans"
        },
        "$:/language/SideBar/Recent/Caption": {
            "title": "$:/language/SideBar/Recent/Caption",
            "text": "Recent"
        },
        "$:/language/SideBar/Shadows/Caption": {
            "title": "$:/language/SideBar/Shadows/Caption",
            "text": "Shadows"
        },
        "$:/language/SideBar/System/Caption": {
            "title": "$:/language/SideBar/System/Caption",
            "text": "System"
        },
        "$:/language/SideBar/Tags/Caption": {
            "title": "$:/language/SideBar/Tags/Caption",
            "text": "Tags"
        },
        "$:/language/SideBar/Tags/Untagged/Caption": {
            "title": "$:/language/SideBar/Tags/Untagged/Caption",
            "text": "untagged"
        },
        "$:/language/SideBar/Tools/Caption": {
            "title": "$:/language/SideBar/Tools/Caption",
            "text": "Tools"
        },
        "$:/language/SideBar/Types/Caption": {
            "title": "$:/language/SideBar/Types/Caption",
            "text": "Types"
        },
        "$:/SiteSubtitle": {
            "title": "$:/SiteSubtitle",
            "text": "a non-linear personal web notebook"
        },
        "$:/SiteTitle": {
            "title": "$:/SiteTitle",
            "text": "My ~TiddlyWiki"
        },
        "$:/language/Snippets/ListByTag": {
            "title": "$:/language/Snippets/ListByTag",
            "tags": "$:/tags/TextEditor/Snippet",
            "caption": "List of tiddlers by tag",
            "text": "<<list-links \"[tag[task]sort[title]]\">>\n"
        },
        "$:/language/Snippets/MacroDefinition": {
            "title": "$:/language/Snippets/MacroDefinition",
            "tags": "$:/tags/TextEditor/Snippet",
            "caption": "Macro definition",
            "text": "\\define macroName(param1:\"default value\",param2)\nText of the macro\n\\end\n"
        },
        "$:/language/Snippets/Table4x3": {
            "title": "$:/language/Snippets/Table4x3",
            "tags": "$:/tags/TextEditor/Snippet",
            "caption": "Table with 4 columns by 3 rows",
            "text": "|! |!Alpha |!Beta |!Gamma |!Delta |\n|!One | | | | |\n|!Two | | | | |\n|!Three | | | | |\n"
        },
        "$:/language/Snippets/TableOfContents": {
            "title": "$:/language/Snippets/TableOfContents",
            "tags": "$:/tags/TextEditor/Snippet",
            "caption": "Table of Contents",
            "text": "<div class=\"tc-table-of-contents\">\n\n<<toc-selective-expandable 'TableOfContents'>>\n\n</div>"
        },
        "$:/language/ThemeTweaks/ThemeTweaks": {
            "title": "$:/language/ThemeTweaks/ThemeTweaks",
            "text": "Theme Tweaks"
        },
        "$:/language/ThemeTweaks/ThemeTweaks/Hint": {
            "title": "$:/language/ThemeTweaks/ThemeTweaks/Hint",
            "text": "You can tweak certain aspects of the ''Vanilla'' theme."
        },
        "$:/language/ThemeTweaks/Options": {
            "title": "$:/language/ThemeTweaks/Options",
            "text": "Options"
        },
        "$:/language/ThemeTweaks/Options/SidebarLayout": {
            "title": "$:/language/ThemeTweaks/Options/SidebarLayout",
            "text": "Sidebar layout"
        },
        "$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid": {
            "title": "$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid",
            "text": "Fixed story, fluid sidebar"
        },
        "$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed": {
            "title": "$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed",
            "text": "Fluid story, fixed sidebar"
        },
        "$:/language/ThemeTweaks/Options/StickyTitles": {
            "title": "$:/language/ThemeTweaks/Options/StickyTitles",
            "text": "Sticky titles"
        },
        "$:/language/ThemeTweaks/Options/StickyTitles/Hint": {
            "title": "$:/language/ThemeTweaks/Options/StickyTitles/Hint",
            "text": "Causes tiddler titles to \"stick\" to the top of the browser window"
        },
        "$:/language/ThemeTweaks/Options/CodeWrapping": {
            "title": "$:/language/ThemeTweaks/Options/CodeWrapping",
            "text": "Wrap long lines in code blocks"
        },
        "$:/language/ThemeTweaks/Settings": {
            "title": "$:/language/ThemeTweaks/Settings",
            "text": "Settings"
        },
        "$:/language/ThemeTweaks/Settings/FontFamily": {
            "title": "$:/language/ThemeTweaks/Settings/FontFamily",
            "text": "Font family"
        },
        "$:/language/ThemeTweaks/Settings/CodeFontFamily": {
            "title": "$:/language/ThemeTweaks/Settings/CodeFontFamily",
            "text": "Code font family"
        },
        "$:/language/ThemeTweaks/Settings/EditorFontFamily": {
            "title": "$:/language/ThemeTweaks/Settings/EditorFontFamily",
            "text": "Editor font family"
        },
        "$:/language/ThemeTweaks/Settings/BackgroundImage": {
            "title": "$:/language/ThemeTweaks/Settings/BackgroundImage",
            "text": "Page background image"
        },
        "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment": {
            "title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment",
            "text": "Page background image attachment"
        },
        "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll": {
            "title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll",
            "text": "Scroll with tiddlers"
        },
        "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed": {
            "title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed",
            "text": "Fixed to window"
        },
        "$:/language/ThemeTweaks/Settings/BackgroundImageSize": {
            "title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize",
            "text": "Page background image size"
        },
        "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto": {
            "title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto",
            "text": "Auto"
        },
        "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover": {
            "title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover",
            "text": "Cover"
        },
        "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain": {
            "title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain",
            "text": "Contain"
        },
        "$:/language/ThemeTweaks/Metrics": {
            "title": "$:/language/ThemeTweaks/Metrics",
            "text": "Sizes"
        },
        "$:/language/ThemeTweaks/Metrics/FontSize": {
            "title": "$:/language/ThemeTweaks/Metrics/FontSize",
            "text": "Font size"
        },
        "$:/language/ThemeTweaks/Metrics/LineHeight": {
            "title": "$:/language/ThemeTweaks/Metrics/LineHeight",
            "text": "Line height"
        },
        "$:/language/ThemeTweaks/Metrics/BodyFontSize": {
            "title": "$:/language/ThemeTweaks/Metrics/BodyFontSize",
            "text": "Font size for tiddler body"
        },
        "$:/language/ThemeTweaks/Metrics/BodyLineHeight": {
            "title": "$:/language/ThemeTweaks/Metrics/BodyLineHeight",
            "text": "Line height for tiddler body"
        },
        "$:/language/ThemeTweaks/Metrics/StoryLeft": {
            "title": "$:/language/ThemeTweaks/Metrics/StoryLeft",
            "text": "Story left position"
        },
        "$:/language/ThemeTweaks/Metrics/StoryLeft/Hint": {
            "title": "$:/language/ThemeTweaks/Metrics/StoryLeft/Hint",
            "text": "how far the left margin of the story river<br>(tiddler area) is from the left of the page"
        },
        "$:/language/ThemeTweaks/Metrics/StoryTop": {
            "title": "$:/language/ThemeTweaks/Metrics/StoryTop",
            "text": "Story top position"
        },
        "$:/language/ThemeTweaks/Metrics/StoryTop/Hint": {
            "title": "$:/language/ThemeTweaks/Metrics/StoryTop/Hint",
            "text": "how far the top margin of the story river<br>is from the top of the page"
        },
        "$:/language/ThemeTweaks/Metrics/StoryRight": {
            "title": "$:/language/ThemeTweaks/Metrics/StoryRight",
            "text": "Story right"
        },
        "$:/language/ThemeTweaks/Metrics/StoryRight/Hint": {
            "title": "$:/language/ThemeTweaks/Metrics/StoryRight/Hint",
            "text": "how far the left margin of the sidebar <br>is from the left of the page"
        },
        "$:/language/ThemeTweaks/Metrics/StoryWidth": {
            "title": "$:/language/ThemeTweaks/Metrics/StoryWidth",
            "text": "Story width"
        },
        "$:/language/ThemeTweaks/Metrics/StoryWidth/Hint": {
            "title": "$:/language/ThemeTweaks/Metrics/StoryWidth/Hint",
            "text": "the overall width of the story river"
        },
        "$:/language/ThemeTweaks/Metrics/TiddlerWidth": {
            "title": "$:/language/ThemeTweaks/Metrics/TiddlerWidth",
            "text": "Tiddler width"
        },
        "$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint": {
            "title": "$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint",
            "text": "within the story river"
        },
        "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint": {
            "title": "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint",
            "text": "Sidebar breakpoint"
        },
        "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint": {
            "title": "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint",
            "text": "the minimum page width at which the story<br>river and sidebar will appear side by side"
        },
        "$:/language/ThemeTweaks/Metrics/SidebarWidth": {
            "title": "$:/language/ThemeTweaks/Metrics/SidebarWidth",
            "text": "Sidebar width"
        },
        "$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint": {
            "title": "$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint",
            "text": "the width of the sidebar in fluid-fixed layout"
        },
        "$:/language/TiddlerInfo/Advanced/Caption": {
            "title": "$:/language/TiddlerInfo/Advanced/Caption",
            "text": "Advanced"
        },
        "$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint": {
            "title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint",
            "text": "none"
        },
        "$:/language/TiddlerInfo/Advanced/PluginInfo/Heading": {
            "title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Heading",
            "text": "Plugin Details"
        },
        "$:/language/TiddlerInfo/Advanced/PluginInfo/Hint": {
            "title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Hint",
            "text": "This plugin contains the following shadow tiddlers:"
        },
        "$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading": {
            "title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading",
            "text": "Shadow Status"
        },
        "$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint": {
            "title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint",
            "text": "The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is not a shadow tiddler"
        },
        "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint": {
            "title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint",
            "text": "The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is a shadow tiddler"
        },
        "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source": {
            "title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source",
            "text": "It is defined in the plugin <$link to=<<pluginTiddler>>><$text text=<<pluginTiddler>>/></$link>"
        },
        "$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint": {
            "title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint",
            "text": "It is overridden by an ordinary tiddler"
        },
        "$:/language/TiddlerInfo/Fields/Caption": {
            "title": "$:/language/TiddlerInfo/Fields/Caption",
            "text": "Fields"
        },
        "$:/language/TiddlerInfo/List/Caption": {
            "title": "$:/language/TiddlerInfo/List/Caption",
            "text": "List"
        },
        "$:/language/TiddlerInfo/List/Empty": {
            "title": "$:/language/TiddlerInfo/List/Empty",
            "text": "This tiddler does not have a list"
        },
        "$:/language/TiddlerInfo/Listed/Caption": {
            "title": "$:/language/TiddlerInfo/Listed/Caption",
            "text": "Listed"
        },
        "$:/language/TiddlerInfo/Listed/Empty": {
            "title": "$:/language/TiddlerInfo/Listed/Empty",
            "text": "This tiddler is not listed by any others"
        },
        "$:/language/TiddlerInfo/References/Caption": {
            "title": "$:/language/TiddlerInfo/References/Caption",
            "text": "References"
        },
        "$:/language/TiddlerInfo/References/Empty": {
            "title": "$:/language/TiddlerInfo/References/Empty",
            "text": "No tiddlers link to this one"
        },
        "$:/language/TiddlerInfo/Tagging/Caption": {
            "title": "$:/language/TiddlerInfo/Tagging/Caption",
            "text": "Tagging"
        },
        "$:/language/TiddlerInfo/Tagging/Empty": {
            "title": "$:/language/TiddlerInfo/Tagging/Empty",
            "text": "No tiddlers are tagged with this one"
        },
        "$:/language/TiddlerInfo/Tools/Caption": {
            "title": "$:/language/TiddlerInfo/Tools/Caption",
            "text": "Tools"
        },
        "$:/language/Docs/Types/application/javascript": {
            "title": "$:/language/Docs/Types/application/javascript",
            "description": "JavaScript code",
            "name": "application/javascript",
            "group": "Developer",
            "group-sort": "2"
        },
        "$:/language/Docs/Types/application/json": {
            "title": "$:/language/Docs/Types/application/json",
            "description": "JSON data",
            "name": "application/json",
            "group": "Developer",
            "group-sort": "2"
        },
        "$:/language/Docs/Types/application/x-tiddler-dictionary": {
            "title": "$:/language/Docs/Types/application/x-tiddler-dictionary",
            "description": "Data dictionary",
            "name": "application/x-tiddler-dictionary",
            "group": "Developer",
            "group-sort": "2"
        },
        "$:/language/Docs/Types/image/gif": {
            "title": "$:/language/Docs/Types/image/gif",
            "description": "GIF image",
            "name": "image/gif",
            "group": "Image",
            "group-sort": "1"
        },
        "$:/language/Docs/Types/image/jpeg": {
            "title": "$:/language/Docs/Types/image/jpeg",
            "description": "JPEG image",
            "name": "image/jpeg",
            "group": "Image",
            "group-sort": "1"
        },
        "$:/language/Docs/Types/image/png": {
            "title": "$:/language/Docs/Types/image/png",
            "description": "PNG image",
            "name": "image/png",
            "group": "Image",
            "group-sort": "1"
        },
        "$:/language/Docs/Types/image/svg+xml": {
            "title": "$:/language/Docs/Types/image/svg+xml",
            "description": "Structured Vector Graphics image",
            "name": "image/svg+xml",
            "group": "Image",
            "group-sort": "1"
        },
        "$:/language/Docs/Types/image/x-icon": {
            "title": "$:/language/Docs/Types/image/x-icon",
            "description": "ICO format icon file",
            "name": "image/x-icon",
            "group": "Image",
            "group-sort": "1"
        },
        "$:/language/Docs/Types/text/css": {
            "title": "$:/language/Docs/Types/text/css",
            "description": "Static stylesheet",
            "name": "text/css",
            "group": "Developer",
            "group-sort": "2"
        },
        "$:/language/Docs/Types/text/html": {
            "title": "$:/language/Docs/Types/text/html",
            "description": "HTML markup",
            "name": "text/html",
            "group": "Text",
            "group-sort": "0"
        },
        "$:/language/Docs/Types/text/plain": {
            "title": "$:/language/Docs/Types/text/plain",
            "description": "Plain text",
            "name": "text/plain",
            "group": "Text",
            "group-sort": "0"
        },
        "$:/language/Docs/Types/text/vnd.tiddlywiki": {
            "title": "$:/language/Docs/Types/text/vnd.tiddlywiki",
            "description": "TiddlyWiki 5",
            "name": "text/vnd.tiddlywiki",
            "group": "Text",
            "group-sort": "0"
        },
        "$:/language/Docs/Types/text/x-tiddlywiki": {
            "title": "$:/language/Docs/Types/text/x-tiddlywiki",
            "description": "TiddlyWiki Classic",
            "name": "text/x-tiddlywiki",
            "group": "Text",
            "group-sort": "0"
        },
        "$:/languages/en-GB/icon": {
            "title": "$:/languages/en-GB/icon",
            "type": "image/svg+xml",
            "text": "<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 60 30\" width=\"1200\" height=\"600\">\n<clipPath id=\"t\">\n\t<path d=\"M30,15 h30 v15 z v15 h-30 z h-30 v-15 z v-15 h30 z\"/>\n</clipPath>\n<path d=\"M0,0 v30 h60 v-30 z\" fill=\"#00247d\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" stroke=\"#fff\" stroke-width=\"6\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" clip-path=\"url(#t)\" stroke=\"#cf142b\" stroke-width=\"4\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#fff\" stroke-width=\"10\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#cf142b\" stroke-width=\"6\"/>\n</svg>\n"
        },
        "$:/languages/en-GB": {
            "title": "$:/languages/en-GB",
            "name": "en-GB",
            "description": "English (British)",
            "author": "JeremyRuston",
            "core-version": ">=5.0.0\"",
            "text": "Stub pseudo-plugin for the default language"
        },
        "$:/core/modules/commander.js": {
            "title": "$:/core/modules/commander.js",
            "text": "/*\\\ntitle: $:/core/modules/commander.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Commander class is a command interpreter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParse a sequence of commands\n\tcommandTokens: an array of command string tokens\n\twiki: reference to the wiki store object\n\tstreams: {output:, error:}, each of which has a write(string) method\n\tcallback: a callback invoked as callback(err) where err is null if there was no error\n*/\nvar Commander = function(commandTokens,callback,wiki,streams) {\n\tvar path = require(\"path\");\n\tthis.commandTokens = commandTokens;\n\tthis.nextToken = 0;\n\tthis.callback = callback;\n\tthis.wiki = wiki;\n\tthis.streams = streams;\n\tthis.outputPath = path.resolve($tw.boot.wikiPath,$tw.config.wikiOutputSubDir);\n};\n\n/*\nLog a string if verbose flag is set\n*/\nCommander.prototype.log = function(str) {\n\tif(this.verbose) {\n\t\tthis.streams.output.write(str + \"\\n\");\n\t}\n};\n\n/*\nWrite a string if verbose flag is set\n*/\nCommander.prototype.write = function(str) {\n\tif(this.verbose) {\n\t\tthis.streams.output.write(str);\n\t}\n};\n\n/*\nAdd a string of tokens to the command queue\n*/\nCommander.prototype.addCommandTokens = function(commandTokens) {\n\tvar params = commandTokens.slice(0);\n\tparams.unshift(0);\n\tparams.unshift(this.nextToken);\n\tArray.prototype.splice.apply(this.commandTokens,params);\n};\n\n/*\nExecute the sequence of commands and invoke a callback on completion\n*/\nCommander.prototype.execute = function() {\n\tthis.executeNextCommand();\n};\n\n/*\nExecute the next command in the sequence\n*/\nCommander.prototype.executeNextCommand = function() {\n\tvar self = this;\n\t// Invoke the callback if there are no more commands\n\tif(this.nextToken >= this.commandTokens.length) {\n\t\tthis.callback(null);\n\t} else {\n\t\t// Get and check the command token\n\t\tvar commandName = this.commandTokens[this.nextToken++];\n\t\tif(commandName.substr(0,2) !== \"--\") {\n\t\t\tthis.callback(\"Missing command: \" + commandName);\n\t\t} else {\n\t\t\tcommandName = commandName.substr(2); // Trim off the --\n\t\t\t// Accumulate the parameters to the command\n\t\t\tvar params = [];\n\t\t\twhile(this.nextToken < this.commandTokens.length && \n\t\t\t\tthis.commandTokens[this.nextToken].substr(0,2) !== \"--\") {\n\t\t\t\tparams.push(this.commandTokens[this.nextToken++]);\n\t\t\t}\n\t\t\t// Get the command info\n\t\t\tvar command = $tw.commands[commandName],\n\t\t\t\tc,err;\n\t\t\tif(!command) {\n\t\t\t\tthis.callback(\"Unknown command: \" + commandName);\n\t\t\t} else {\n\t\t\t\tif(this.verbose) {\n\t\t\t\t\tthis.streams.output.write(\"Executing command: \" + commandName + \" \" + params.join(\" \") + \"\\n\");\n\t\t\t\t}\n\t\t\t\t// Parse named parameters if required\n\t\t\t\tif(command.info.namedParameterMode) {\n\t\t\t\t\tparams = this.extractNamedParameters(params,command.info.mandatoryParameters);\n\t\t\t\t\tif(typeof params === \"string\") {\n\t\t\t\t\t\treturn this.callback(params);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(command.info.synchronous) {\n\t\t\t\t\t// Synchronous command\n\t\t\t\t\tc = new command.Command(params,this);\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthis.executeNextCommand();\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// Asynchronous command\n\t\t\t\t\tc = new command.Command(params,this,function(err) {\n\t\t\t\t\t\tif(err) {\n\t\t\t\t\t\t\tself.callback(err);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tself.executeNextCommand();\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nGiven an array of parameter strings `params` in name:value format, and an array of mandatory parameter names in `mandatoryParameters`, returns a hashmap of values or a string if error\n*/\nCommander.prototype.extractNamedParameters = function(params,mandatoryParameters) {\n\tmandatoryParameters = mandatoryParameters || [];\n\tvar errors = [],\n\t\tparamsByName = Object.create(null);\n\t// Extract the parameters\n\t$tw.utils.each(params,function(param) {\n\t\tvar index = param.indexOf(\"=\");\n\t\tif(index < 1) {\n\t\t\terrors.push(\"malformed named parameter: '\" + param + \"'\");\n\t\t}\n\t\tparamsByName[param.slice(0,index)] = $tw.utils.trim(param.slice(index+1));\n\t});\n\t// Check the mandatory parameters are present\n\t$tw.utils.each(mandatoryParameters,function(mandatoryParameter) {\n\t\tif(!$tw.utils.hop(paramsByName,mandatoryParameter)) {\n\t\t\terrors.push(\"missing mandatory parameter: '\" + mandatoryParameter + \"'\");\n\t\t}\n\t});\n\t// Return any errors\n\tif(errors.length > 0) {\n\t\treturn errors.join(\" and\\n\");\n\t} else {\n\t\treturn paramsByName;\t\t\n\t}\n};\n\nCommander.initCommands = function(moduleType) {\n\tmoduleType = moduleType || \"command\";\n\t$tw.commands = {};\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tvar c = $tw.commands[module.info.name] = {};\n\t\t// Add the methods defined by the module\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\tc[f] = module[f];\n\t\t\t}\n\t\t}\n\t});\n};\n\nexports.Commander = Commander;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/commands/build.js": {
            "title": "$:/core/modules/commands/build.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/build.js\ntype: application/javascript\nmodule-type: command\n\nCommand to build a build target\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"build\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\t// Get the build targets defined in the wiki\n\tvar buildTargets = $tw.boot.wikiInfo.build;\n\tif(!buildTargets) {\n\t\treturn \"No build targets defined\";\n\t}\n\t// Loop through each of the specified targets\n\tvar targets;\n\tif(this.params.length > 0) {\n\t\ttargets = this.params;\n\t} else {\n\t\ttargets = Object.keys(buildTargets);\n\t}\n\tfor(var targetIndex=0; targetIndex<targets.length; targetIndex++) {\n\t\tvar target = targets[targetIndex],\n\t\t\tcommands = buildTargets[target];\n\t\tif(!commands) {\n\t\t\treturn \"Build target '\" + target + \"' not found\";\n\t\t}\n\t\t// Add the commands to the queue\n\t\tthis.commander.addCommandTokens(commands);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/clearpassword.js": {
            "title": "$:/core/modules/commands/clearpassword.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/clearpassword.js\ntype: application/javascript\nmodule-type: command\n\nClear password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"clearpassword\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\t$tw.crypto.setPassword(null);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/deletetiddlers.js": {
            "title": "$:/core/modules/commands/deletetiddlers.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/deletetiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to delete tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"deletetiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filter\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\twiki.deleteTiddler(title);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/editions.js": {
            "title": "$:/core/modules/commands/editions.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/editions.js\ntype: application/javascript\nmodule-type: command\n\nCommand to list the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"editions\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this;\n\t// Output the list\n\tthis.commander.streams.output.write(\"Available editions:\\n\\n\");\n\tvar editionInfo = $tw.utils.getEditionInfo();\n\t$tw.utils.each(editionInfo,function(info,name) {\n\t\tself.commander.streams.output.write(\"    \" + name + \": \" + info.description + \"\\n\");\n\t});\n\tthis.commander.streams.output.write(\"\\n\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/fetch.js": {
            "title": "$:/core/modules/commands/fetch.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/fetch.js\ntype: application/javascript\nmodule-type: command\n\nCommands to fetch external tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"fetch\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing subcommand and url\";\n\t}\n\tswitch(this.params[0]) {\n\t\tcase \"raw-file\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\traw: true,\n\t\t\t\turl: this.params[1],\n\t\t\t\ttransformFilter: this.params[2] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"file\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\turl: this.params[1],\n\t\t\t\timportFilter: this.params[2],\n\t\t\t\ttransformFilter: this.params[3] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"raw-files\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\traw: true,\n\t\t\t\turlFilter: this.params[1],\n\t\t\t\ttransformFilter: this.params[2] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"files\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\turlFilter: this.params[1],\n\t\t\t\timportFilter: this.params[2],\n\t\t\t\ttransformFilter: this.params[3] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t}\n\treturn null;\n};\n\nCommand.prototype.fetchFiles = function(options) {\n\tvar self = this;\n\t// Get the list of URLs\n\tvar urls;\n\tif(options.url) {\n\t\turls = [options.url]\n\t} else if(options.urlFilter) {\n\t\turls = $tw.wiki.filterTiddlers(options.urlFilter);\n\t} else {\n\t\treturn \"Missing URL\";\n\t}\n\t// Process each URL in turn\n\tvar next = 0;\n\tvar getNextFile = function(err) {\n\t\tif(err) {\n\t\t\treturn options.callback(err);\n\t\t}\n\t\tif(next < urls.length) {\n\t\t\tself.fetchFile(urls[next++],options,getNextFile);\n\t\t} else {\n\t\t\toptions.callback(null);\n\t\t}\n\t};\n\tgetNextFile(null);\n\t// Success\n\treturn null;\n};\n\nCommand.prototype.fetchFile = function(url,options,callback,redirectCount) {\n\tif(redirectCount > 10) {\n\t\treturn callback(\"Error too many redirects retrieving \" + url);\n\t}\n\tvar self = this,\n\t\tlib = url.substr(0,8) === \"https://\" ? require(\"https\") : require(\"http\");\n\tlib.get(url).on(\"response\",function(response) {\n\t    var type = (response.headers[\"content-type\"] || \"\").split(\";\")[0],\n\t    \tdata = [];\n\t    self.commander.write(\"Reading \" + url + \": \");\n\t    response.on(\"data\",function(chunk) {\n\t        data.push(chunk);\n\t        self.commander.write(\".\");\n\t    });\n\t    response.on(\"end\",function() {\n\t        self.commander.write(\"\\n\");\n\t        if(response.statusCode === 200) {\n\t\t        self.processBody(Buffer.concat(data),type,options,url);\n\t\t        callback(null);\n\t        } else {\n\t        \tif(response.statusCode === 302 || response.statusCode === 303 || response.statusCode === 307) {\n\t        \t\treturn self.fetchFile(response.headers.location,options,callback,redirectCount + 1);\n\t        \t} else {\n\t\t        \treturn callback(\"Error \" + response.statusCode + \" retrieving \" + url)\t        \t\t\n\t        \t}\n\t        }\n\t   \t});\n\t   \tresponse.on(\"error\",function(e) {\n\t\t\tconsole.log(\"Error on GET request: \" + e);\n\t\t\tcallback(e);\n\t   \t});\n\t});\n\treturn null;\n};\n\nCommand.prototype.processBody = function(body,type,options,url) {\n\tvar self = this;\n\t// Collect the tiddlers in a wiki\n\tvar incomingWiki = new $tw.Wiki();\n\tif(options.raw) {\n\t\tvar typeInfo = type ? $tw.config.contentTypeInfo[type] : null,\n\t\t\tencoding = typeInfo ? typeInfo.encoding : \"utf8\";\n\t\tincomingWiki.addTiddler(new $tw.Tiddler({\n\t\t\ttitle: url,\n\t\t\ttype: type,\n\t\t\ttext: body.toString(encoding)\n\t\t}));\n\t} else {\n\t\t// Deserialise the file to extract the tiddlers\n\t\tvar tiddlers = this.commander.wiki.deserializeTiddlers(type || \"text/html\",body.toString(\"utf8\"),{});\n\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\tincomingWiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t});\n\t}\n\t// Filter the tiddlers to select the ones we want\n\tvar filteredTitles = incomingWiki.filterTiddlers(options.importFilter || \"[all[tiddlers]]\");\n\t// Import the selected tiddlers\n\tvar count = 0;\n\tincomingWiki.each(function(tiddler,title) {\n\t\tif(filteredTitles.indexOf(title) !== -1) {\n\t\t\tvar newTiddler;\n\t\t\tif(options.transformFilter) {\n\t\t\t\tvar transformedTitle = (incomingWiki.filterTiddlers(options.transformFilter,null,self.commander.wiki.makeTiddlerIterator([title])) || [\"\"])[0];\n\t\t\t\tif(transformedTitle) {\n\t\t\t\t\tself.commander.log(\"Importing \" + title + \" as \" + transformedTitle)\n\t\t\t\t\tnewTiddler = new $tw.Tiddler(tiddler,{title: transformedTitle});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tself.commander.log(\"Importing \" + title)\n\t\t\t\tnewTiddler = tiddler;\n\t\t\t}\n\t\t\tself.commander.wiki.importTiddler(newTiddler);\n\t\t\tcount++;\n\t\t}\n\t});\n\tself.commander.log(\"Imported \" + count + \" tiddlers\")\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/help.js": {
            "title": "$:/core/modules/commands/help.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/help.js\ntype: application/javascript\nmodule-type: command\n\nHelp command\n\n\\*/\n(function(){\n\n/*jshint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"help\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar subhelp = this.params[0] || \"default\",\n\t\thelpBase = \"$:/language/Help/\",\n\t\ttext;\n\tif(!this.commander.wiki.getTiddler(helpBase + subhelp)) {\n\t\tsubhelp = \"notfound\";\n\t}\n\t// Wikify the help as formatted text (ie block elements generate newlines)\n\ttext = this.commander.wiki.renderTiddler(\"text/plain-formatted\",helpBase + subhelp);\n\t// Remove any leading linebreaks\n\ttext = text.replace(/^(\\r?\\n)*/g,\"\");\n\tthis.commander.streams.output.write(text);\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/import.js": {
            "title": "$:/core/modules/commands/import.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/import.js\ntype: application/javascript\nmodule-type: command\n\nCommand to import tiddlers from a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"import\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 2) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar filename = self.params[0],\n\t\tdeserializer = self.params[1],\n\t\ttitle = self.params[2] || filename,\n\t\tencoding = self.params[3] || \"utf8\",\n\t\ttext = fs.readFileSync(filename,encoding),\n\t\ttiddlers = this.commander.wiki.deserializeTiddlers(null,text,{title: title},{deserializer: deserializer});\n\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddler));\n\t});\n\tthis.commander.log(tiddlers.length + \" tiddler(s) imported\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/init.js": {
            "title": "$:/core/modules/commands/init.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/init.js\ntype: application/javascript\nmodule-type: command\n\nCommand to initialise an empty wiki folder\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"init\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\t// Check that we don't already have a valid wiki folder\n\tif($tw.boot.wikiTiddlersPath || ($tw.utils.isDirectory($tw.boot.wikiPath) && !$tw.utils.isDirectoryEmpty($tw.boot.wikiPath))) {\n\t\treturn \"Wiki folder is not empty\";\n\t}\n\t// Loop through each of the specified editions\n\tvar editions = this.params.length > 0 ? this.params : [\"empty\"];\n\tfor(var editionIndex=0; editionIndex<editions.length; editionIndex++) {\n\t\tvar editionName = editions[editionIndex];\n\t\t// Check the edition exists\n\t\tvar editionPath = $tw.findLibraryItem(editionName,$tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar));\n\t\tif(!$tw.utils.isDirectory(editionPath)) {\n\t\t\treturn \"Edition '\" + editionName + \"' not found\";\n\t\t}\n\t\t// Copy the edition content\n\t\tvar err = $tw.utils.copyDirectory(editionPath,$tw.boot.wikiPath);\n\t\tif(!err) {\n\t\t\tthis.commander.streams.output.write(\"Copied edition '\" + editionName + \"' to \" + $tw.boot.wikiPath + \"\\n\");\n\t\t} else {\n\t\t\treturn err;\n\t\t}\n\t}\n\t// Tweak the tiddlywiki.info to remove any included wikis\n\tvar packagePath = $tw.boot.wikiPath + \"/tiddlywiki.info\",\n\t\tpackageJson = JSON.parse(fs.readFileSync(packagePath));\n\tdelete packageJson.includeWikis;\n\tfs.writeFileSync(packagePath,JSON.stringify(packageJson,null,$tw.config.preferences.jsonSpaces));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/listen.js": {
            "title": "$:/core/modules/commands/listen.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/listen.js\ntype: application/javascript\nmodule-type: command\n\nListen for HTTP requests and serve tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Server = require(\"$:/core/modules/server/server.js\").Server;\n\nexports.info = {\n\tname: \"listen\",\n\tsynchronous: true,\n\tnamedParameterMode: true,\n\tmandatoryParameters: [],\n};\n\nvar Command = function(params,commander,callback) {\n\tvar self = this;\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this;\n\tif(!$tw.boot.wikiTiddlersPath) {\n\t\t$tw.utils.warning(\"Warning: Wiki folder '\" + $tw.boot.wikiPath + \"' does not exist or is missing a tiddlywiki.info file\");\n\t}\n\t// Set up server\n\tthis.server = new Server({\n\t\twiki: this.commander.wiki,\n\t\tvariables: self.params\n\t});\n\tvar nodeServer = this.server.listen();\n\t$tw.hooks.invokeHook(\"th-server-command-post-start\",this.server,nodeServer,\"tiddlywiki\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/load.js": {
            "title": "$:/core/modules/commands/load.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/load.js\ntype: application/javascript\nmodule-type: command\n\nCommand to load tiddlers from a file or directory\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"load\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar tiddlers = $tw.loadTiddlersFromPath(self.params[0]),\n\t\tcount = 0;\n\t$tw.utils.each(tiddlers,function(tiddlerInfo) {\n\t\t$tw.utils.each(tiddlerInfo.tiddlers,function(tiddler) {\n\t\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddler));\n\t\t\tcount++;\n\t\t});\n\t});\n\tif(!count && self.params[1] !== \"noerror\") {\n\t\tself.callback(\"No tiddlers found in file \\\"\" + self.params[0] + \"\\\"\");\n\t} else {\n\t\tself.callback(null);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/makelibrary.js": {
            "title": "$:/core/modules/commands/makelibrary.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/makelibrary.js\ntype: application/javascript\nmodule-type: command\n\nCommand to pack all of the plugins in the library into a plugin tiddler of type \"library\"\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"makelibrary\",\n\tsynchronous: true\n};\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar wiki = this.commander.wiki,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tupgradeLibraryTitle = this.params[0] || UPGRADE_LIBRARY_TITLE,\n\t\ttiddlers = {};\n\t// Collect up the library plugins\n\tvar collectPlugins = function(folder) {\n\t\t\tvar pluginFolders = fs.readdirSync(folder);\n\t\t\tfor(var p=0; p<pluginFolders.length; p++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(pluginFolders[p])) {\n\t\t\t\t\tpluginFields = $tw.loadPluginFolder(path.resolve(folder,\"./\" + pluginFolders[p]));\n\t\t\t\t\tif(pluginFields && pluginFields.title) {\n\t\t\t\t\t\ttiddlers[pluginFields.title] = pluginFields;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\tcollectPublisherPlugins = function(folder) {\n\t\t\tvar publisherFolders = fs.readdirSync(folder);\n\t\t\tfor(var t=0; t<publisherFolders.length; t++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(publisherFolders[t])) {\n\t\t\t\t\tcollectPlugins(path.resolve(folder,\"./\" + publisherFolders[t]));\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.pluginsPath,$tw.config.pluginsEnvVar),collectPublisherPlugins);\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.themesPath,$tw.config.themesEnvVar),collectPublisherPlugins);\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.languagesPath,$tw.config.languagesEnvVar),collectPlugins);\n\t// Save the upgrade library tiddler\n\tvar pluginFields = {\n\t\ttitle: upgradeLibraryTitle,\n\t\ttype: \"application/json\",\n\t\t\"plugin-type\": \"library\",\n\t\t\"text\": JSON.stringify({tiddlers: tiddlers})\n\t};\n\twiki.addTiddler(new $tw.Tiddler(pluginFields));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/output.js": {
            "title": "$:/core/modules/commands/output.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/output.js\ntype: application/javascript\nmodule-type: command\n\nCommand to set the default output location (defaults to current working directory)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"output\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing output path\";\n\t}\n\tthis.commander.outputPath = path.resolve(process.cwd(),this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/password.js": {
            "title": "$:/core/modules/commands/password.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/password.js\ntype: application/javascript\nmodule-type: command\n\nSave password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"password\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing password\";\n\t}\n\t$tw.crypto.setPassword(this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/render.js": {
            "title": "$:/core/modules/commands/render.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/render.js\ntype: application/javascript\nmodule-type: command\n\nRender individual tiddlers and save the results to the specified files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"render\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing tiddler filter\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\ttiddlerFilter = this.params[0],\n\t\tfilenameFilter = this.params[1] || \"[is[tiddler]addsuffix[.html]]\",\n\t\ttype = this.params[2] || \"text/html\",\n\t\ttemplate = this.params[3],\n\t\tvarName = this.params[4],\n\t\tvarValue = this.params[5],\n\t\ttiddlers = wiki.filterTiddlers(tiddlerFilter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(template || title),\n\t\t\tvariables = {currentTiddler: title};\n\t\tif(varName) {\n\t\t\tvariables[varName] = varValue || \"\";\n\t\t}\n\t\tvar widgetNode = wiki.makeWidget(parser,{variables: variables}),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent,\n\t\t\tfilepath = path.resolve(self.commander.outputPath,wiki.filterTiddlers(filenameFilter,$tw.rootWidget,wiki.makeTiddlerIterator([title]))[0]);\n\t\tif(self.commander.verbose) {\n\t\t\tconsole.log(\"Rendering \\\"\" + title + \"\\\" to \\\"\" + filepath + \"\\\"\");\n\t\t}\n\t\t$tw.utils.createFileDirectories(filepath);\n\t\tfs.writeFileSync(filepath,text,\"utf8\");\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/rendertiddler.js": {
            "title": "$:/core/modules/commands/rendertiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/rendertiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render a tiddler and save it to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"rendertiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttype = this.params[2] || \"text/html\",\n\t\ttemplate = this.params[3],\n\t\tname = this.params[4],\n\t\tvalue = this.params[5],\n\t\tvariables = {};\n\t$tw.utils.createFileDirectories(filename);\n\tif(template) {\n\t\tvariables.currentTiddler = title;\n\t\ttitle = template;\n\t}\n\tif(name && value) {\n\t\tvariables[name] = value;\n\t}\n\tfs.writeFile(filename,this.commander.wiki.renderTiddler(type,title,{variables: variables}),\"utf8\",function(err) {\n\t\tself.callback(err);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/rendertiddlers.js": {
            "title": "$:/core/modules/commands/rendertiddlers.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/rendertiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"rendertiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\ttemplate = this.params[1],\n\t\toutputPath = this.commander.outputPath,\n\t\tpathname = path.resolve(outputPath,this.params[2]),\t\t\n\t\ttype = this.params[3] || \"text/html\",\n\t\textension = this.params[4] || \".html\",\n\t\tdeleteDirectory = (this.params[5] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(template),\n\t\t\twidgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}}),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent,\n\t\t\texportPath = null;\n\t\tif($tw.utils.hop($tw.macros,\"tv-get-export-path\")) {\n\t\t\tvar macroPath = $tw.macros[\"tv-get-export-path\"].run.apply(self,[title]);\n\t\t\tif(macroPath) {\n\t\t\t\texportPath = path.resolve(outputPath,macroPath + extension);\n\t\t\t}\n\t\t}\n\t\tvar finalPath = exportPath || path.resolve(pathname,encodeURIComponent(title) + extension);\n\t\t$tw.utils.createFileDirectories(finalPath);\n\t\tfs.writeFileSync(finalPath,text,\"utf8\");\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/save.js": {
            "title": "$:/core/modules/commands/save.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/save.js\ntype: application/javascript\nmodule-type: command\n\nSaves individual tiddlers in their raw text or binary format to the specified files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"save\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename filter\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\ttiddlerFilter = this.params[0],\n\t\tfilenameFilter = this.params[1] || \"[is[tiddler]]\",\n\t\ttiddlers = wiki.filterTiddlers(tiddlerFilter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.commander.wiki.getTiddler(title),\n\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"},\n\t\t\tfilepath = path.resolve(self.commander.outputPath,wiki.filterTiddlers(filenameFilter,$tw.rootWidget,wiki.makeTiddlerIterator([title]))[0]);\n\t\tif(self.commander.verbose) {\n\t\t\tconsole.log(\"Saving \\\"\" + title + \"\\\" to \\\"\" + filepath + \"\\\"\");\n\t\t}\n\t\t$tw.utils.createFileDirectories(filepath);\n\t\tfs.writeFileSync(filepath,tiddler.fields.text,contentTypeInfo.encoding);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/savelibrarytiddlers.js": {
            "title": "$:/core/modules/commands/savelibrarytiddlers.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/savelibrarytiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the subtiddlers of a bundle tiddler as a series of JSON files\n\n--savelibrarytiddlers <tiddler> <pathname> <skinnylisting>\n\nThe tiddler identifies the bundle tiddler that contains the subtiddlers.\n\nThe pathname specifies the pathname to the folder in which the JSON files should be saved. The filename is the URL encoded title of the subtiddler.\n\nThe skinnylisting specifies the title of the tiddler to which a JSON catalogue of the subtiddlers will be saved. The JSON file contains the same data as the bundle tiddler but with the `text` field removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savelibrarytiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tcontainerTitle = this.params[0],\n\t\tfilter = this.params[1],\n\t\tbasepath = this.params[2],\n\t\tskinnyListTitle = this.params[3];\n\t// Get the container tiddler as data\n\tvar containerData = self.commander.wiki.getTiddlerDataCached(containerTitle,undefined);\n\tif(!containerData) {\n\t\treturn \"'\" + containerTitle + \"' is not a tiddler bundle\";\n\t}\n\t// Filter the list of plugins\n\tvar pluginList = [];\n\t$tw.utils.each(containerData.tiddlers,function(tiddler,title) {\n\t\tpluginList.push(title);\n\t});\n\tvar filteredPluginList;\n\tif(filter) {\n\t\tfilteredPluginList = self.commander.wiki.filterTiddlers(filter,null,self.commander.wiki.makeTiddlerIterator(pluginList));\n\t} else {\n\t\tfilteredPluginList = pluginList;\n\t}\n\t// Iterate through the plugins\n\tvar skinnyList = [];\n\t$tw.utils.each(filteredPluginList,function(title) {\n\t\tvar tiddler = containerData.tiddlers[title];\n\t\t// Save each JSON file and collect the skinny data\n\t\tvar pathname = path.resolve(self.commander.outputPath,basepath + encodeURIComponent(title) + \".json\");\n\t\t$tw.utils.createFileDirectories(pathname);\n\t\tfs.writeFileSync(pathname,JSON.stringify(tiddler),\"utf8\");\n\t\t// Collect the skinny list data\n\t\tvar pluginTiddlers = JSON.parse(tiddler.text),\n\t\t\treadmeContent = (pluginTiddlers.tiddlers[title + \"/readme\"] || {}).text,\n\t\t\tdoesRequireReload = !!$tw.wiki.doesPluginInfoRequireReload(pluginTiddlers),\n\t\t\ticonTiddler = pluginTiddlers.tiddlers[title + \"/icon\"] || {},\n\t\t\ticonType = iconTiddler.type,\n\t\t\ticonText = iconTiddler.text,\n\t\t\ticonContent;\n\t\tif(iconType && iconText) {\n\t\t\ticonContent = $tw.utils.makeDataUri(iconText,iconType);\n\t\t}\n\t\tskinnyList.push($tw.utils.extend({},tiddler,{\n\t\t\ttext: undefined,\n\t\t\treadme: readmeContent,\n\t\t\t\"requires-reload\": doesRequireReload ? \"yes\" : \"no\",\n\t\t\ticon: iconContent\n\t\t}));\n\t});\n\t// Save the catalogue tiddler\n\tif(skinnyListTitle) {\n\t\tself.commander.wiki.setTiddlerData(skinnyListTitle,skinnyList);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/savetiddler.js": {
            "title": "$:/core/modules/commands/savetiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/savetiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the content of a tiddler to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savetiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttiddler = this.commander.wiki.getTiddler(title);\n\tif(tiddler) {\n\t\tvar type = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"};\n\t\t$tw.utils.createFileDirectories(filename);\n\t\tfs.writeFile(filename,tiddler.fields.text,contentTypeInfo.encoding,function(err) {\n\t\t\tself.callback(err);\n\t\t});\n\t} else {\n\t\treturn \"Missing tiddler: \" + title;\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/savetiddlers.js": {
            "title": "$:/core/modules/commands/savetiddlers.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/savetiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"savetiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tpathname = path.resolve(this.commander.outputPath,this.params[1]),\n\t\tdeleteDirectory = (this.params[2] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.createDirectory(pathname);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.commander.wiki.getTiddler(title),\n\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"},\n\t\t\tfilename = path.resolve(pathname,encodeURIComponent(title));\n\t\tfs.writeFileSync(filename,tiddler.fields.text,contentTypeInfo.encoding);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/savewikifolder.js": {
            "title": "$:/core/modules/commands/savewikifolder.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/savewikifolder.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the current wiki as a wiki folder\n\n--savewikifolder <wikifolderpath> [<filter>]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savewikifolder\",\n\tsynchronous: true\n};\n\nvar fs,path;\nif($tw.node) {\n\tfs = require(\"fs\");\n\tpath = require(\"path\");\n}\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing wiki folder path\";\n\t}\n\tvar wikifoldermaker = new WikiFolderMaker(this.params[0],this.params[1],this.commander);\n\treturn wikifoldermaker.save();\n};\n\nfunction WikiFolderMaker(wikiFolderPath,wikiFilter,commander) {\n\tthis.wikiFolderPath = wikiFolderPath;\n\tthis.wikiFilter = wikiFilter || \"[all[tiddlers]]\";\n\tthis.commander = commander;\n\tthis.wiki = commander.wiki;\n\tthis.savedPaths = []; // So that we can detect filename clashes\n}\n\nWikiFolderMaker.prototype.log = function(str) {\n\tif(this.commander.verbose) {\n\t\tconsole.log(str);\n\t}\n};\n\nWikiFolderMaker.prototype.tiddlersToIgnore = [\n\t\"$:/boot/boot.css\",\n\t\"$:/boot/boot.js\",\n\t\"$:/boot/bootprefix.js\",\n\t\"$:/core\",\n\t\"$:/library/sjcl.js\",\n\t\"$:/temp/info-plugin\"\n];\n\n/*\nReturns null if successful, or an error string if there was an error\n*/\nWikiFolderMaker.prototype.save = function() {\n\tvar self = this;\n\t// Check that the output directory doesn't exist\n\tif(fs.existsSync(this.wikiFolderPath) && !$tw.utils.isDirectoryEmpty(this.wikiFolderPath)) {\n\t\treturn \"The unpackwiki command requires that the output wiki folder be empty\";\n\t}\n\t// Get the tiddlers from the source wiki\n\tvar tiddlerTitles = this.wiki.filterTiddlers(this.wikiFilter);\n\t// Initialise a new tiddlwiki.info file\n\tvar newWikiInfo = {};\n\t// Process each incoming tiddler in turn\n\t$tw.utils.each(tiddlerTitles,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tif(self.tiddlersToIgnore.indexOf(title) !== -1) {\n\t\t\t\t// Ignore the core plugin and the ephemeral info plugin\n\t\t\t\tself.log(\"Ignoring tiddler: \" + title);\n\t\t\t} else {\n\t\t\t\tvar type = tiddler.fields.type,\n\t\t\t\t\tpluginType = tiddler.fields[\"plugin-type\"];\n\t\t\t\tif(type === \"application/json\" && pluginType) {\n\t\t\t\t\t// Plugin tiddler\n\t\t\t\t\tvar libraryDetails = self.findPluginInLibrary(title);\n\t\t\t\t\tif(libraryDetails) {\n\t\t\t\t\t\t// A plugin from the core library\n\t\t\t\t\t\tself.log(\"Adding built-in plugin: \" + libraryDetails.name);\n\t\t\t\t\t\tnewWikiInfo[libraryDetails.type] = newWikiInfo[libraryDetails.type]  || [];\n\t\t\t\t\t\t$tw.utils.pushTop(newWikiInfo[libraryDetails.type],libraryDetails.name);\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// A custom plugin\n\t\t\t\t\t\tself.log(\"Processing custom plugin: \" + title);\n\t\t\t\t\t\tself.saveCustomPlugin(tiddler);\n\t\t\t\t\t}\t\t\t\t\n\t\t\t\t} else {\n\t\t\t\t\t// Ordinary tiddler\n\t\t\t\t\tself.saveTiddler(\"tiddlers\",tiddler);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\t// Save the tiddlywiki.info file\n\tthis.saveJSONFile(\"tiddlywiki.info\",newWikiInfo);\n\tself.log(\"Writing tiddlywiki.info: \" + JSON.stringify(newWikiInfo,null,$tw.config.preferences.jsonSpaces));\n\treturn null;\n};\n\n/*\nTest whether the specified tiddler is a plugin in the plugin library\n*/\nWikiFolderMaker.prototype.findPluginInLibrary = function(title) {\n\tvar parts = title.split(\"/\"),\n\t\tpluginPath, type, name;\n\tif(parts[0] === \"$:\") {\n\t\tif(parts[1] === \"languages\" && parts.length === 3) {\n\t\t\tpluginPath = \"languages\" + path.sep + parts[2];\n\t\t\ttype = parts[1];\n\t\t\tname = parts[2];\n\t\t} else if(parts[1] === \"plugins\" || parts[1] === \"themes\" && parts.length === 4) {\n\t\t\tpluginPath = parts[1] + path.sep + parts[2] + path.sep + parts[3];\n\t\t\ttype = parts[1];\n\t\t\tname = parts[2] + \"/\" + parts[3];\n\t\t}\n\t}\n\tif(pluginPath && type && name) {\n\t\tpluginPath = path.resolve($tw.boot.bootPath,\"..\",pluginPath);\n\t\tif(fs.existsSync(pluginPath)) {\n\t\t\treturn {\n\t\t\t\tpluginPath: pluginPath,\n\t\t\t\ttype: type,\n\t\t\t\tname: name\n\t\t\t};\n\t\t}\n\t}\n\treturn false;\n};\n\nWikiFolderMaker.prototype.saveCustomPlugin = function(pluginTiddler) {\n\tvar self = this,\n\t\tpluginTitle = pluginTiddler.fields.title,\n\t\ttitleParts = pluginTitle.split(\"/\"),\n\t\tdirectory = $tw.utils.generateTiddlerFilepath(titleParts[titleParts.length - 1],{\n\t\t\tdirectory: path.resolve(this.wikiFolderPath,pluginTiddler.fields[\"plugin-type\"] + \"s\")\n\t\t}),\n\t\tpluginInfo = pluginTiddler.getFieldStrings({exclude: [\"text\",\"type\"]});\n\tthis.saveJSONFile(directory + path.sep + \"plugin.info\",pluginInfo);\n\tself.log(\"Writing \" + directory + path.sep + \"plugin.info: \" + JSON.stringify(pluginInfo,null,$tw.config.preferences.jsonSpaces));\n\tvar pluginTiddlers = JSON.parse(pluginTiddler.fields.text).tiddlers; // A hashmap of tiddlers in the plugin\n\t$tw.utils.each(pluginTiddlers,function(tiddler) {\n\t\tself.saveTiddler(directory,new $tw.Tiddler(tiddler));\n\t});\n};\n\nWikiFolderMaker.prototype.saveTiddler = function(directory,tiddler) {\n\tvar fileInfo = $tw.utils.generateTiddlerFileInfo(tiddler,{\n\t\tdirectory: path.resolve(this.wikiFolderPath,directory),\n\t\twiki: this.wiki\n\t});\n\t$tw.utils.saveTiddlerToFileSync(tiddler,fileInfo);\n};\n\nWikiFolderMaker.prototype.saveJSONFile = function(filename,json) {\n\tthis.saveTextFile(filename,JSON.stringify(json,null,$tw.config.preferences.jsonSpaces));\n};\n\nWikiFolderMaker.prototype.saveTextFile = function(filename,data) {\n\tthis.saveFile(filename,\"utf8\",data);\n};\n\nWikiFolderMaker.prototype.saveFile = function(filename,encoding,data) {\n\tvar filepath = path.resolve(this.wikiFolderPath,filename);\n\t$tw.utils.createFileDirectories(filepath);\n\tfs.writeFileSync(filepath,data,encoding);\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/server.js": {
            "title": "$:/core/modules/commands/server.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/server.js\ntype: application/javascript\nmodule-type: command\n\nDeprecated legacy command for serving tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Server = require(\"$:/core/modules/server/server.js\").Server;\n\nexports.info = {\n\tname: \"server\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tvar self = this;\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(!$tw.boot.wikiTiddlersPath) {\n\t\t$tw.utils.warning(\"Warning: Wiki folder '\" + $tw.boot.wikiPath + \"' does not exist or is missing a tiddlywiki.info file\");\n\t}\n\t// Set up server\n\tthis.server = new Server({\n\t\twiki: this.commander.wiki,\n\t\tvariables: {\n\t\t\tport: this.params[0],\n\t\t\thost: this.params[6],\n\t\t\t\"root-tiddler\": this.params[1],\n\t\t\t\"root-render-type\": this.params[2],\n\t\t\t\"root-serve-type\": this.params[3],\n\t\t\tusername: this.params[4],\n\t\t\tpassword: this.params[5],\n\t\t\t\"path-prefix\": this.params[7],\n\t\t\t\"debug-level\": this.params[8]\n\t\t}\n\t});\n\tvar nodeServer = this.server.listen();\n\t$tw.hooks.invokeHook(\"th-server-command-post-start\",this.server,nodeServer,\"tiddlywiki\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/setfield.js": {
            "title": "$:/core/modules/commands/setfield.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/setfield.js\ntype: application/javascript\nmodule-type: command\n\nCommand to modify selected tiddlers to set a field to the text of a template tiddler that has been wikified with the selected tiddler as the current tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"setfield\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 4) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tfieldname = this.params[1] || \"text\",\n\t\ttemplatetitle = this.params[2],\n\t\trendertype = this.params[3] || \"text/plain\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(templatetitle),\n\t\t\tnewFields = {},\n\t\t\ttiddler = wiki.getTiddler(title);\n\t\tif(parser) {\n\t\t\tvar widgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}});\n\t\t\tvar container = $tw.fakeDocument.createElement(\"div\");\n\t\t\twidgetNode.render(container,null);\n\t\t\tnewFields[fieldname] = rendertype === \"text/html\" ? container.innerHTML : container.textContent;\n\t\t} else {\n\t\t\tnewFields[fieldname] = undefined;\n\t\t}\n\t\twiki.addTiddler(new $tw.Tiddler(tiddler,newFields));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/unpackplugin.js": {
            "title": "$:/core/modules/commands/unpackplugin.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/unpackplugin.js\ntype: application/javascript\nmodule-type: command\n\nCommand to extract the shadow tiddlers from within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"unpackplugin\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing plugin name\";\n\t}\n\tvar self = this,\n\t\ttitle = this.params[0],\n\t\tpluginData = this.commander.wiki.getTiddlerDataCached(title);\n\tif(!pluginData) {\n\t\treturn \"Plugin '\" + title + \"' not found\";\n\t}\n\t$tw.utils.each(pluginData.tiddlers,function(tiddler) {\n\t\tself.commander.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/verbose.js": {
            "title": "$:/core/modules/commands/verbose.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/verbose.js\ntype: application/javascript\nmodule-type: command\n\nVerbose command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"verbose\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.verbose = true;\n\t// Output the boot message log\n\tthis.commander.streams.output.write(\"Boot log:\\n  \" + $tw.boot.logMessages.join(\"\\n  \") + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/version.js": {
            "title": "$:/core/modules/commands/version.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/version.js\ntype: application/javascript\nmodule-type: command\n\nVersion command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"version\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.streams.output.write($tw.version + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/config.js": {
            "title": "$:/core/modules/config.js",
            "text": "/*\\\ntitle: $:/core/modules/config.js\ntype: application/javascript\nmodule-type: config\n\nCore configuration constants\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.preferences = {};\n\nexports.preferences.notificationDuration = 3 * 1000;\nexports.preferences.jsonSpaces = 4;\n\nexports.textPrimitives = {\n\tupperLetter: \"[A-Z\\u00c0-\\u00d6\\u00d8-\\u00de\\u0150\\u0170]\",\n\tlowerLetter: \"[a-z\\u00df-\\u00f6\\u00f8-\\u00ff\\u0151\\u0171]\",\n\tanyLetter:   \"[A-Za-z0-9\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\",\n\tblockPrefixLetters:\t\"[A-Za-z0-9-_\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\"\n};\n\nexports.textPrimitives.unWikiLink = \"~\";\nexports.textPrimitives.wikiLink = exports.textPrimitives.upperLetter + \"+\" +\n\texports.textPrimitives.lowerLetter + \"+\" +\n\texports.textPrimitives.upperLetter +\n\texports.textPrimitives.anyLetter + \"*\";\n\nexports.htmlEntities = {quot:34, amp:38, apos:39, lt:60, gt:62, nbsp:160, iexcl:161, cent:162, pound:163, curren:164, yen:165, brvbar:166, sect:167, uml:168, copy:169, ordf:170, laquo:171, not:172, shy:173, reg:174, macr:175, deg:176, plusmn:177, sup2:178, sup3:179, acute:180, micro:181, para:182, middot:183, cedil:184, sup1:185, ordm:186, raquo:187, frac14:188, frac12:189, frac34:190, iquest:191, Agrave:192, Aacute:193, Acirc:194, Atilde:195, Auml:196, Aring:197, AElig:198, Ccedil:199, Egrave:200, Eacute:201, Ecirc:202, Euml:203, Igrave:204, Iacute:205, Icirc:206, Iuml:207, ETH:208, Ntilde:209, Ograve:210, Oacute:211, Ocirc:212, Otilde:213, Ouml:214, times:215, Oslash:216, Ugrave:217, Uacute:218, Ucirc:219, Uuml:220, Yacute:221, THORN:222, szlig:223, agrave:224, aacute:225, acirc:226, atilde:227, auml:228, aring:229, aelig:230, ccedil:231, egrave:232, eacute:233, ecirc:234, euml:235, igrave:236, iacute:237, icirc:238, iuml:239, eth:240, ntilde:241, ograve:242, oacute:243, ocirc:244, otilde:245, ouml:246, divide:247, oslash:248, ugrave:249, uacute:250, ucirc:251, uuml:252, yacute:253, thorn:254, yuml:255, OElig:338, oelig:339, Scaron:352, scaron:353, Yuml:376, fnof:402, circ:710, tilde:732, Alpha:913, Beta:914, Gamma:915, Delta:916, Epsilon:917, Zeta:918, Eta:919, Theta:920, Iota:921, Kappa:922, Lambda:923, Mu:924, Nu:925, Xi:926, Omicron:927, Pi:928, Rho:929, Sigma:931, Tau:932, Upsilon:933, Phi:934, Chi:935, Psi:936, Omega:937, alpha:945, beta:946, gamma:947, delta:948, epsilon:949, zeta:950, eta:951, theta:952, iota:953, kappa:954, lambda:955, mu:956, nu:957, xi:958, omicron:959, pi:960, rho:961, sigmaf:962, sigma:963, tau:964, upsilon:965, phi:966, chi:967, psi:968, omega:969, thetasym:977, upsih:978, piv:982, ensp:8194, emsp:8195, thinsp:8201, zwnj:8204, zwj:8205, lrm:8206, rlm:8207, ndash:8211, mdash:8212, lsquo:8216, rsquo:8217, sbquo:8218, ldquo:8220, rdquo:8221, bdquo:8222, dagger:8224, Dagger:8225, bull:8226, hellip:8230, permil:8240, prime:8242, Prime:8243, lsaquo:8249, rsaquo:8250, oline:8254, frasl:8260, euro:8364, image:8465, weierp:8472, real:8476, trade:8482, alefsym:8501, larr:8592, uarr:8593, rarr:8594, darr:8595, harr:8596, crarr:8629, lArr:8656, uArr:8657, rArr:8658, dArr:8659, hArr:8660, forall:8704, part:8706, exist:8707, empty:8709, nabla:8711, isin:8712, notin:8713, ni:8715, prod:8719, sum:8721, minus:8722, lowast:8727, radic:8730, prop:8733, infin:8734, ang:8736, and:8743, or:8744, cap:8745, cup:8746, int:8747, there4:8756, sim:8764, cong:8773, asymp:8776, ne:8800, equiv:8801, le:8804, ge:8805, sub:8834, sup:8835, nsub:8836, sube:8838, supe:8839, oplus:8853, otimes:8855, perp:8869, sdot:8901, lceil:8968, rceil:8969, lfloor:8970, rfloor:8971, lang:9001, rang:9002, loz:9674, spades:9824, clubs:9827, hearts:9829, diams:9830 };\n\nexports.htmlVoidElements = \"area,base,br,col,command,embed,hr,img,input,keygen,link,meta,param,source,track,wbr\".split(\",\");\n\nexports.htmlBlockElements = \"address,article,aside,audio,blockquote,canvas,dd,div,dl,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,hr,li,noscript,ol,output,p,pre,section,table,tfoot,ul,video\".split(\",\");\n\nexports.htmlUnsafeElements = \"script\".split(\",\");\n\n})();\n",
            "type": "application/javascript",
            "module-type": "config"
        },
        "$:/core/modules/deserializers.js": {
            "title": "$:/core/modules/deserializers.js",
            "text": "/*\\\ntitle: $:/core/modules/deserializers.js\ntype: application/javascript\nmodule-type: tiddlerdeserializer\n\nFunctions to deserialise tiddlers from a block of text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nUtility function to parse an old-style tiddler DIV in a *.tid file. It looks like this:\n\n<div title=\"Title\" creator=\"JoeBloggs\" modifier=\"JoeBloggs\" created=\"201102111106\" modified=\"201102111310\" tags=\"myTag [[my long tag]]\">\n<pre>The text of the tiddler (without the expected HTML encoding).\n</pre>\n</div>\n\nNote that the field attributes are HTML encoded, but that the body of the <PRE> tag is not encoded.\n\nWhen these tiddler DIVs are encountered within a TiddlyWiki HTML file then the body is encoded in the usual way.\n*/\nvar parseTiddlerDiv = function(text /* [,fields] */) {\n\t// Slot together the default results\n\tvar result = {};\n\tif(arguments.length > 1) {\n\t\tfor(var f=1; f<arguments.length; f++) {\n\t\t\tvar fields = arguments[f];\n\t\t\tfor(var t in fields) {\n\t\t\t\tresult[t] = fields[t];\t\t\n\t\t\t}\n\t\t}\n\t}\n\t// Parse the DIV body\n\tvar startRegExp = /^\\s*<div\\s+([^>]*)>(\\s*<pre>)?/gi,\n\t\tendRegExp,\n\t\tmatch = startRegExp.exec(text);\n\tif(match) {\n\t\t// Old-style DIVs don't have the <pre> tag\n\t\tif(match[2]) {\n\t\t\tendRegExp = /<\\/pre>\\s*<\\/div>\\s*$/gi;\n\t\t} else {\n\t\t\tendRegExp = /<\\/div>\\s*$/gi;\n\t\t}\n\t\tvar endMatch = endRegExp.exec(text);\n\t\tif(endMatch) {\n\t\t\t// Extract the text\n\t\t\tresult.text = text.substring(match.index + match[0].length,endMatch.index);\n\t\t\t// Process the attributes\n\t\t\tvar attrRegExp = /\\s*([^=\\s]+)\\s*=\\s*(?:\"([^\"]*)\"|'([^']*)')/gi,\n\t\t\t\tattrMatch;\n\t\t\tdo {\n\t\t\t\tattrMatch = attrRegExp.exec(match[1]);\n\t\t\t\tif(attrMatch) {\n\t\t\t\t\tvar name = attrMatch[1];\n\t\t\t\t\tvar value = attrMatch[2] !== undefined ? attrMatch[2] : attrMatch[3];\n\t\t\t\t\tresult[name] = value;\n\t\t\t\t}\n\t\t\t} while(attrMatch);\n\t\t\treturn result;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports[\"application/x-tiddler-html-div\"] = function(text,fields) {\n\treturn [parseTiddlerDiv(text,fields)];\n};\n\nexports[\"application/json\"] = function(text,fields) {\n\tvar incoming,\n\t\tresults = [];\n\ttry {\n\t\tincoming = JSON.parse(text);\n\t} catch(e) {\n\t\tincoming = [{\n\t\t\ttitle: \"JSON error: \" + e,\n\t\t\ttext: \"\"\n\t\t}]\n\t}\n\tif(!$tw.utils.isArray(incoming)) {\n\t\tincoming = [incoming];\n\t}\n\tfor(var t=0; t<incoming.length; t++) {\n\t\tvar incomingFields = incoming[t],\n\t\t\tfields = {};\n\t\tfor(var f in incomingFields) {\n\t\t\tif(typeof incomingFields[f] === \"string\") {\n\t\t\t\tfields[f] = incomingFields[f];\n\t\t\t}\n\t\t}\n\t\tresults.push(fields);\n\t}\n\treturn results;\n};\n\n/*\nParse an HTML file into tiddlers. There are three possibilities:\n# A TiddlyWiki classic HTML file containing `text/x-tiddlywiki` tiddlers\n# A TiddlyWiki5 HTML file containing `text/vnd.tiddlywiki` tiddlers\n# An ordinary HTML file\n*/\nexports[\"text/html\"] = function(text,fields) {\n\t// Check if we've got a store area\n\tvar storeAreaMarkerRegExp = /<div id=[\"']?storeArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\tmatch = storeAreaMarkerRegExp.exec(text);\n\tif(match) {\n\t\t// If so, it's either a classic TiddlyWiki file or an unencrypted TW5 file\n\t\t// First read the normal tiddlers\n\t\tvar results = deserializeTiddlyWikiFile(text,storeAreaMarkerRegExp.lastIndex,!!match[1],fields);\n\t\t// Then any system tiddlers\n\t\tvar systemAreaMarkerRegExp = /<div id=[\"']?systemArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\t\tsysMatch = systemAreaMarkerRegExp.exec(text);\n\t\tif(sysMatch) {\n\t\t\tresults.push.apply(results,deserializeTiddlyWikiFile(text,systemAreaMarkerRegExp.lastIndex,!!sysMatch[1],fields));\n\t\t}\n\t\treturn results;\n\t} else {\n\t\t// Check whether we've got an encrypted file\n\t\tvar encryptedStoreArea = $tw.utils.extractEncryptedStoreArea(text);\n\t\tif(encryptedStoreArea) {\n\t\t\t// If so, attempt to decrypt it using the current password\n\t\t\treturn $tw.utils.decryptStoreArea(encryptedStoreArea);\n\t\t} else {\n\t\t\t// It's not a TiddlyWiki so we'll return the entire HTML file as a tiddler\n\t\t\treturn deserializeHtmlFile(text,fields);\n\t\t}\n\t}\n};\n\nfunction deserializeHtmlFile(text,fields) {\n\tvar result = {};\n\t$tw.utils.each(fields,function(value,name) {\n\t\tresult[name] = value;\n\t});\n\tresult.text = text;\n\tresult.type = \"text/html\";\n\treturn [result];\n}\n\nfunction deserializeTiddlyWikiFile(text,storeAreaEnd,isTiddlyWiki5,fields) {\n\tvar results = [],\n\t\tendOfDivRegExp = /(<\\/div>\\s*)/gi,\n\t\tstartPos = storeAreaEnd,\n\t\tdefaultType = isTiddlyWiki5 ? undefined : \"text/x-tiddlywiki\";\n\tendOfDivRegExp.lastIndex = startPos;\n\tvar match = endOfDivRegExp.exec(text);\n\twhile(match) {\n\t\tvar endPos = endOfDivRegExp.lastIndex,\n\t\t\ttiddlerFields = parseTiddlerDiv(text.substring(startPos,endPos),fields,{type: defaultType});\n\t\tif(!tiddlerFields) {\n\t\t\tbreak;\n\t\t}\n\t\t$tw.utils.each(tiddlerFields,function(value,name) {\n\t\t\tif(typeof value === \"string\") {\n\t\t\t\ttiddlerFields[name] = $tw.utils.htmlDecode(value);\n\t\t\t}\n\t\t});\n\t\tif(tiddlerFields.text !== null) {\n\t\t\tresults.push(tiddlerFields);\n\t\t}\n\t\tstartPos = endPos;\n\t\tmatch = endOfDivRegExp.exec(text);\n\t}\n\treturn results;\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "tiddlerdeserializer"
        },
        "$:/core/modules/editor/engines/framed.js": {
            "title": "$:/core/modules/editor/engines/framed.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/engines/framed.js\ntype: application/javascript\nmodule-type: library\n\nText editor engine based on a simple input or textarea within an iframe. This is done so that the selection is preserved even when clicking away from the textarea\n\n\\*/\n(function(){\n\n/*jslint node: true,browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\nfunction FramedEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\t// Create our hidden dummy text area for reading styles\n\tthis.dummyTextArea = this.widget.document.createElement(\"textarea\");\n\tif(this.widget.editClass) {\n\t\tthis.dummyTextArea.className = this.widget.editClass;\n\t}\n\tthis.dummyTextArea.setAttribute(\"hidden\",\"true\");\n\tthis.parentNode.insertBefore(this.dummyTextArea,this.nextSibling);\n\tthis.widget.domNodes.push(this.dummyTextArea);\n\t// Create the iframe\n\tthis.iframeNode = this.widget.document.createElement(\"iframe\");\n\tthis.parentNode.insertBefore(this.iframeNode,this.nextSibling);\n\tthis.iframeDoc = this.iframeNode.contentWindow.document;\n\t// (Firefox requires us to put some empty content in the iframe)\n\tthis.iframeDoc.open();\n\tthis.iframeDoc.write(\"\");\n\tthis.iframeDoc.close();\n\t// Style the iframe\n\tthis.iframeNode.className = this.dummyTextArea.className;\n\tthis.iframeNode.style.border = \"none\";\n\tthis.iframeNode.style.padding = \"0\";\n\tthis.iframeNode.style.resize = \"none\";\n\tthis.iframeNode.style[\"background-color\"] = this.widget.wiki.extractTiddlerDataItem(this.widget.wiki.getTiddlerText(\"$:/palette\"),\"tiddler-editor-background\");\n\tthis.iframeDoc.body.style.margin = \"0\";\n\tthis.iframeDoc.body.style.padding = \"0\";\n\tthis.widget.domNodes.push(this.iframeNode);\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.iframeDoc.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.iframeDoc.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editTabIndex) {\n\t\tthis.iframeNode.setAttribute(\"tabindex\",this.widget.editTabIndex);\n\t}\n\t// Copy the styles from the dummy textarea\n\tthis.copyStyles();\n\t// Add event listeners\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"click\",handlerObject: this,handlerMethod: \"handleClickEvent\"},\n\t\t{name: \"input\",handlerObject: this,handlerMethod: \"handleInputEvent\"},\n\t\t{name: \"keydown\",handlerObject: this.widget,handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.iframeDoc.body.appendChild(this.domNode);\n}\n\n/*\nCopy styles from the dummy text area to the textarea in the iframe\n*/\nFramedEngine.prototype.copyStyles = function() {\n\t// Copy all styles\n\t$tw.utils.copyStyles(this.dummyTextArea,this.domNode);\n\t// Override the ones that should not be set the same as the dummy textarea\n\tthis.domNode.style.display = \"block\";\n\tthis.domNode.style.width = \"100%\";\n\tthis.domNode.style.margin = \"0\";\n\tthis.domNode.style[\"background-color\"] = this.widget.wiki.extractTiddlerDataItem(this.widget.wiki.getTiddlerText(\"$:/palette\"),\"tiddler-editor-background\");\n\t// In Chrome setting -webkit-text-fill-color overrides the placeholder text colour\n\tthis.domNode.style[\"-webkit-text-fill-color\"] = \"currentcolor\";\n};\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nFramedEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode) {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nFramedEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nFramedEngine.prototype.fixHeight = function() {\n\t// Make sure styles are updated\n\tthis.copyStyles();\n\t// Adjust height\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\tvar newHeight = $tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t\tthis.iframeNode.style.height = (newHeight + 14) + \"px\"; // +14 for the border on the textarea\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t\tthis.iframeNode.style.height = (fixedHeight + 14) + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nFramedEngine.prototype.focus  = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a click\n*/\nFramedEngine.prototype.handleClickEvent = function(event) {\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nFramedEngine.prototype.handleInputEvent = function(event) {\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nFramedEngine.prototype.createTextOperation = function() {\n\tvar operation = {\n\t\ttext: this.domNode.value,\n\t\tselStart: this.domNode.selectionStart,\n\t\tselEnd: this.domNode.selectionEnd,\n\t\tcutStart: null,\n\t\tcutEnd: null,\n\t\treplacement: null,\n\t\tnewSelStart: null,\n\t\tnewSelEnd: null\n\t};\n\toperation.selection = operation.text.substring(operation.selStart,operation.selEnd);\n\treturn operation;\n};\n\n/*\nExecute a text operation\n*/\nFramedEngine.prototype.executeTextOperation = function(operation) {\n\t// Perform the required changes to the text area and the underlying tiddler\n\tvar newText = operation.text;\n\tif(operation.replacement !== null) {\n\t\tnewText = operation.text.substring(0,operation.cutStart) + operation.replacement + operation.text.substring(operation.cutEnd);\n\t\t// Attempt to use a execCommand to modify the value of the control\n\t\tif(this.iframeDoc.queryCommandSupported(\"insertText\") && this.iframeDoc.queryCommandSupported(\"delete\") && !$tw.browser.isFirefox) {\n\t\t\tthis.domNode.focus();\n\t\t\tthis.domNode.setSelectionRange(operation.cutStart,operation.cutEnd);\n\t\t\tif(operation.replacement === \"\") {\n\t\t\t\tthis.iframeDoc.execCommand(\"delete\",false,\"\");\n\t\t\t} else {\n\t\t\t\tthis.iframeDoc.execCommand(\"insertText\",false,operation.replacement);\n\t\t\t}\n\t\t} else {\n\t\t\tthis.domNode.value = newText;\n\t\t}\n\t\tthis.domNode.focus();\n\t\tthis.domNode.setSelectionRange(operation.newSelStart,operation.newSelEnd);\n\t}\n\tthis.domNode.focus();\n\treturn newText;\n};\n\nexports.FramedEngine = FramedEngine;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/core/modules/editor/engines/simple.js": {
            "title": "$:/core/modules/editor/engines/simple.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/engines/simple.js\ntype: application/javascript\nmodule-type: library\n\nText editor engine based on a simple input or textarea tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\nfunction SimpleEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.widget.document.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.widget.document.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editClass) {\n\t\tthis.domNode.className = this.widget.editClass;\n\t}\n\tif(this.widget.editTabIndex) {\n\t\tthis.domNode.setAttribute(\"tabindex\",this.widget.editTabIndex);\n\t}\n\t// Add an input event handler\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"focus\", handlerObject: this, handlerMethod: \"handleFocusEvent\"},\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.parentNode.insertBefore(this.domNode,this.nextSibling);\n\tthis.widget.domNodes.push(this.domNode);\n}\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nSimpleEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode || text === \"\") {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nSimpleEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nSimpleEngine.prototype.fixHeight = function() {\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\t$tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nSimpleEngine.prototype.focus  = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nSimpleEngine.prototype.handleInputEvent = function(event) {\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nHandle a dom \"focus\" event\n*/\nSimpleEngine.prototype.handleFocusEvent = function(event) {\n\tif(this.widget.editFocusPopup) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNode,\n\t\t\ttitle: this.widget.editFocusPopup,\n\t\t\twiki: this.widget.wiki,\n\t\t\tforce: true\n\t\t});\n\t}\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nSimpleEngine.prototype.createTextOperation = function() {\n\treturn null;\n};\n\n/*\nExecute a text operation\n*/\nSimpleEngine.prototype.executeTextOperation = function(operation) {\n};\n\nexports.SimpleEngine = SimpleEngine;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/core/modules/editor/factory.js": {
            "title": "$:/core/modules/editor/factory.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/factory.js\ntype: application/javascript\nmodule-type: library\n\nFactory for constructing text editor widgets with specified engines for the toolbar and non-toolbar cases\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_MIN_TEXT_AREA_HEIGHT = \"100px\"; // Minimum height of textareas in pixels\n\n// Configuration tiddlers\nvar HEIGHT_MODE_TITLE = \"$:/config/TextEditor/EditorHeight/Mode\";\nvar ENABLE_TOOLBAR_TITLE = \"$:/config/TextEditor/EnableToolbar\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nfunction editTextWidgetFactory(toolbarEngine,nonToolbarEngine) {\n\n\tvar EditTextWidget = function(parseTreeNode,options) {\n\t\t// Initialise the editor operations if they've not been done already\n\t\tif(!this.editorOperations) {\n\t\t\tEditTextWidget.prototype.editorOperations = {};\n\t\t\t$tw.modules.applyMethods(\"texteditoroperation\",this.editorOperations);\n\t\t}\n\t\tthis.initialise(parseTreeNode,options);\n\t};\n\n\t/*\n\tInherit from the base widget class\n\t*/\n\tEditTextWidget.prototype = new Widget();\n\n\t/*\n\tRender this widget into the DOM\n\t*/\n\tEditTextWidget.prototype.render = function(parent,nextSibling) {\n\t\t// Save the parent dom node\n\t\tthis.parentDomNode = parent;\n\t\t// Compute our attributes\n\t\tthis.computeAttributes();\n\t\t// Execute our logic\n\t\tthis.execute();\n\t\t// Create the wrapper for the toolbar and render its content\n\t\tif(this.editShowToolbar) {\n\t\t\tthis.toolbarNode = this.document.createElement(\"div\");\n\t\t\tthis.toolbarNode.className = \"tc-editor-toolbar\";\n\t\t\tparent.insertBefore(this.toolbarNode,nextSibling);\n\t\t\tthis.renderChildren(this.toolbarNode,null);\n\t\t\tthis.domNodes.push(this.toolbarNode);\n\t\t}\n\t\t// Create our element\n\t\tvar editInfo = this.getEditInfo(),\n\t\t\tEngine = this.editShowToolbar ? toolbarEngine : nonToolbarEngine;\n\t\tthis.engine = new Engine({\n\t\t\t\twidget: this,\n\t\t\t\tvalue: editInfo.value,\n\t\t\t\ttype: editInfo.type,\n\t\t\t\tparentNode: parent,\n\t\t\t\tnextSibling: nextSibling\n\t\t\t});\n\t\t// Call the postRender hook\n\t\tif(this.postRender) {\n\t\t\tthis.postRender();\n\t\t}\n\t\t// Fix height\n\t\tthis.engine.fixHeight();\n\t\t// Focus if required\n\t\tif(this.editFocus === \"true\" || this.editFocus === \"yes\") {\n\t\t\tthis.engine.focus();\n\t\t}\n\t\t// Add widget message listeners\n\t\tthis.addEventListeners([\n\t\t\t{type: \"tm-edit-text-operation\", handler: \"handleEditTextOperationMessage\"}\n\t\t]);\n\t};\n\n\t/*\n\tGet the tiddler being edited and current value\n\t*/\n\tEditTextWidget.prototype.getEditInfo = function() {\n\t\t// Get the edit value\n\t\tvar self = this,\n\t\t\tvalue,\n\t\t\ttype = \"text/plain\",\n\t\t\tupdate;\n\t\tif(this.editIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.editTitle,this.editIndex,this.editDefault);\n\t\t\tupdate = function(value) {\n\t\t\t\tvar data = self.wiki.getTiddlerData(self.editTitle,{});\n\t\t\t\tif(data[self.editIndex] !== value) {\n\t\t\t\t\tdata[self.editIndex] = value;\n\t\t\t\t\tself.wiki.setTiddlerData(self.editTitle,data);\n\t\t\t\t}\n\t\t\t};\n\t\t} else {\n\t\t\t// Get the current tiddler and the field name\n\t\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\t\tif(tiddler) {\n\t\t\t\t// If we've got a tiddler, the value to display is the field string value\n\t\t\t\tvalue = tiddler.getFieldString(this.editField);\n\t\t\t\tif(this.editField === \"text\") {\n\t\t\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\";\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise, we need to construct a default value for the editor\n\t\t\t\tswitch(this.editField) {\n\t\t\t\t\tcase \"text\":\n\t\t\t\t\t\tvalue = \"Type the text for the tiddler '\" + this.editTitle + \"'\";\n\t\t\t\t\t\ttype = \"text/vnd.tiddlywiki\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"title\":\n\t\t\t\t\t\tvalue = this.editTitle;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tvalue = \"\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tif(this.editDefault !== undefined) {\n\t\t\t\t\tvalue = this.editDefault;\n\t\t\t\t}\n\t\t\t}\n\t\t\tupdate = function(value) {\n\t\t\t\tvar tiddler = self.wiki.getTiddler(self.editTitle),\n\t\t\t\t\tupdateFields = {\n\t\t\t\t\t\ttitle: self.editTitle\n\t\t\t\t\t};\n\t\t\t\tupdateFields[self.editField] = value;\n\t\t\t\tself.wiki.addTiddler(new $tw.Tiddler(self.wiki.getCreationFields(),tiddler,updateFields,self.wiki.getModificationFields()));\n\t\t\t};\n\t\t}\n\t\tif(this.editType) {\n\t\t\ttype = this.editType;\n\t\t}\n\t\treturn {value: value || \"\", type: type, update: update};\n\t};\n\n\t/*\n\tHandle an edit text operation message from the toolbar\n\t*/\n\tEditTextWidget.prototype.handleEditTextOperationMessage = function(event) {\n\t\t// Prepare information about the operation\n\t\tvar operation = this.engine.createTextOperation();\n\t\t// Invoke the handler for the selected operation\n\t\tvar handler = this.editorOperations[event.param];\n\t\tif(handler) {\n\t\t\thandler.call(this,event,operation);\n\t\t}\n\t\t// Execute the operation via the engine\n\t\tvar newText = this.engine.executeTextOperation(operation);\n\t\t// Fix the tiddler height and save changes\n\t\tthis.engine.fixHeight();\n\t\tthis.saveChanges(newText);\n\t};\n\n\t/*\n\tCompute the internal state of the widget\n\t*/\n\tEditTextWidget.prototype.execute = function() {\n\t\t// Get our parameters\n\t\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t\tthis.editField = this.getAttribute(\"field\",\"text\");\n\t\tthis.editIndex = this.getAttribute(\"index\");\n\t\tthis.editDefault = this.getAttribute(\"default\");\n\t\tthis.editClass = this.getAttribute(\"class\");\n\t\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\t\tthis.editSize = this.getAttribute(\"size\");\n\t\tthis.editRows = this.getAttribute(\"rows\");\n\t\tthis.editAutoHeight = this.wiki.getTiddlerText(HEIGHT_MODE_TITLE,\"auto\");\n\t\tthis.editAutoHeight = this.getAttribute(\"autoHeight\",this.editAutoHeight === \"auto\" ? \"yes\" : \"no\") === \"yes\";\n\t\tthis.editMinHeight = this.getAttribute(\"minHeight\",DEFAULT_MIN_TEXT_AREA_HEIGHT);\n\t\tthis.editFocusPopup = this.getAttribute(\"focusPopup\");\n\t\tthis.editFocus = this.getAttribute(\"focus\");\n\t\tthis.editTabIndex = this.getAttribute(\"tabindex\");\n\t\t// Get the default editor element tag and type\n\t\tvar tag,type;\n\t\tif(this.editField === \"text\") {\n\t\t\ttag = \"textarea\";\n\t\t} else {\n\t\t\ttag = \"input\";\n\t\t\tvar fieldModule = $tw.Tiddler.fieldModules[this.editField];\n\t\t\tif(fieldModule && fieldModule.editTag) {\n\t\t\t\ttag = fieldModule.editTag;\n\t\t\t}\n\t\t\tif(fieldModule && fieldModule.editType) {\n\t\t\t\ttype = fieldModule.editType;\n\t\t\t}\n\t\t\ttype = type || \"text\";\n\t\t}\n\t\t// Get the rest of our parameters\n\t\tthis.editTag = this.getAttribute(\"tag\",tag) || \"input\";\n\t\tthis.editType = this.getAttribute(\"type\",type);\n\t\t// Make the child widgets\n\t\tthis.makeChildWidgets();\n\t\t// Determine whether to show the toolbar\n\t\tthis.editShowToolbar = this.wiki.getTiddlerText(ENABLE_TOOLBAR_TITLE,\"yes\");\n\t\tthis.editShowToolbar = (this.editShowToolbar === \"yes\") && !!(this.children && this.children.length > 0) && (!this.document.isTiddlyWikiFakeDom);\n\t};\n\n\t/*\n\tSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n\t*/\n\tEditTextWidget.prototype.refresh = function(changedTiddlers) {\n\t\tvar changedAttributes = this.computeAttributes();\n\t\t// Completely rerender if any of our attributes have changed\n\t\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.placeholder || changedAttributes.size || changedAttributes.autoHeight || changedAttributes.minHeight || changedAttributes.focusPopup ||  changedAttributes.rows || changedAttributes.tabindex || changedTiddlers[HEIGHT_MODE_TITLE] || changedTiddlers[ENABLE_TOOLBAR_TITLE]) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t\t} else if(changedTiddlers[this.editTitle]) {\n\t\t\tvar editInfo = this.getEditInfo();\n\t\t\tthis.updateEditor(editInfo.value,editInfo.type);\n\t\t}\n\t\tthis.engine.fixHeight();\n\t\tif(this.editShowToolbar) {\n\t\t\treturn this.refreshChildren(changedTiddlers);\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t};\n\n\t/*\n\tUpdate the editor with new text. This method is separate from updateEditorDomNode()\n\tso that subclasses can override updateEditor() and still use updateEditorDomNode()\n\t*/\n\tEditTextWidget.prototype.updateEditor = function(text,type) {\n\t\tthis.updateEditorDomNode(text,type);\n\t};\n\n\t/*\n\tUpdate the editor dom node with new text\n\t*/\n\tEditTextWidget.prototype.updateEditorDomNode = function(text,type) {\n\t\tthis.engine.setText(text,type);\n\t};\n\n\t/*\n\tSave changes back to the tiddler store\n\t*/\n\tEditTextWidget.prototype.saveChanges = function(text) {\n\t\tvar editInfo = this.getEditInfo();\n\t\tif(text !== editInfo.value) {\n\t\t\teditInfo.update(text);\n\t\t}\n\t};\n\n\t/*\n\tHandle a dom \"keydown\" event, which we'll bubble up to our container for the keyboard widgets benefit\n\t*/\n\tEditTextWidget.prototype.handleKeydownEvent = function(event) {\n\t\t// Check for a keyboard shortcut\n\t\tif(this.toolbarNode) {\n\t\t\tvar shortcutElements = this.toolbarNode.querySelectorAll(\"[data-tw-keyboard-shortcut]\");\n\t\t\tfor(var index=0; index<shortcutElements.length; index++) {\n\t\t\t\tvar el = shortcutElements[index],\n\t\t\t\t\tshortcutData = el.getAttribute(\"data-tw-keyboard-shortcut\"),\n\t\t\t\t\tkeyInfoArray = $tw.keyboardManager.parseKeyDescriptors(shortcutData,{\n\t\t\t\t\t\twiki: this.wiki\n\t\t\t\t\t});\n\t\t\t\tif($tw.keyboardManager.checkKeyDescriptors(event,keyInfoArray)) {\n\t\t\t\t\tvar clickEvent = this.document.createEvent(\"Events\");\n\t\t\t\t    clickEvent.initEvent(\"click\",true,false);\n\t\t\t\t    el.dispatchEvent(clickEvent);\n\t\t\t\t\tevent.preventDefault();\n\t\t\t\t\tevent.stopPropagation();\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t// Propogate the event to the container\n\t\tif(this.propogateKeydownEvent(event)) {\n\t\t\t// Ignore the keydown if it was already handled\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t\treturn true;\n\t\t}\n\t\t// Otherwise, process the keydown normally\n\t\treturn false;\n\t};\n\n\t/*\n\tPropogate keydown events to our container for the keyboard widgets benefit\n\t*/\n\tEditTextWidget.prototype.propogateKeydownEvent = function(event) {\n\t\tvar newEvent = this.document.createEventObject ? this.document.createEventObject() : this.document.createEvent(\"Events\");\n\t\tif(newEvent.initEvent) {\n\t\t\tnewEvent.initEvent(\"keydown\", true, true);\n\t\t}\n\t\tnewEvent.keyCode = event.keyCode;\n\t\tnewEvent.which = event.which;\n\t\tnewEvent.metaKey = event.metaKey;\n\t\tnewEvent.ctrlKey = event.ctrlKey;\n\t\tnewEvent.altKey = event.altKey;\n\t\tnewEvent.shiftKey = event.shiftKey;\n\t\treturn !this.parentDomNode.dispatchEvent(newEvent);\n\t};\n\n\treturn EditTextWidget;\n\n}\n\nexports.editTextWidgetFactory = editTextWidgetFactory;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/core/modules/editor/operations/bitmap/clear.js": {
            "title": "$:/core/modules/editor/operations/bitmap/clear.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/clear.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to clear the image\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"clear\"] = function(event) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.globalAlpha = 1;\n\tctx.fillStyle = event.paramObject.colour || \"white\";\n\tctx.fillRect(0,0,this.canvasDomNode.width,this.canvasDomNode.height);\n\t// Save changes\n\tthis.strokeEnd();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "bitmapeditoroperation"
        },
        "$:/core/modules/editor/operations/bitmap/resize.js": {
            "title": "$:/core/modules/editor/operations/bitmap/resize.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/resize.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to resize the image\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"resize\"] = function(event) {\n\t// Get the new width\n\tvar newWidth = parseInt(event.paramObject.width || this.canvasDomNode.width,10),\n\t\tnewHeight = parseInt(event.paramObject.height || this.canvasDomNode.height,10);\n\t// Update if necessary\n\tif(newWidth > 0 && newHeight > 0 && !(newWidth === this.currCanvas.width && newHeight === this.currCanvas.height)) {\n\t\tthis.changeCanvasSize(newWidth,newHeight);\n\t}\n\t// Update the input controls\n\tthis.refreshToolbar();\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "bitmapeditoroperation"
        },
        "$:/core/modules/editor/operations/bitmap/rotate-left.js": {
            "title": "$:/core/modules/editor/operations/bitmap/rotate-left.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/rotate-left.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to rotate the image left by 90 degrees\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"rotate-left\"] = function(event) {\n\t// Rotate the canvas left by 90 degrees\n\tthis.rotateCanvasLeft();\n\t// Update the input controls\n\tthis.refreshToolbar();\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "bitmapeditoroperation"
        },
        "$:/core/modules/editor/operations/text/excise.js": {
            "title": "$:/core/modules/editor/operations/text/excise.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/text/excise.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to excise the selection to a new tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"excise\"] = function(event,operation) {\n\tvar editTiddler = this.wiki.getTiddler(this.editTitle),\n\t\teditTiddlerTitle = this.editTitle;\n\tif(editTiddler && editTiddler.fields[\"draft.of\"]) {\n\t\teditTiddlerTitle = editTiddler.fields[\"draft.of\"];\n\t}\n\tvar excisionTitle = event.paramObject.title || this.wiki.generateNewTitle(\"New Excision\");\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\tthis.wiki.getModificationFields(),\n\t\t{\n\t\t\ttitle: excisionTitle,\n\t\t\ttext: operation.selection,\n\t\t\ttags: event.paramObject.tagnew === \"yes\" ?  [editTiddlerTitle] : []\n\t\t}\n\t));\n\toperation.replacement = excisionTitle;\n\tswitch(event.paramObject.type || \"transclude\") {\n\t\tcase \"transclude\":\n\t\t\toperation.replacement = \"{{\" + operation.replacement+ \"}}\";\n\t\t\tbreak;\n\t\tcase \"link\":\n\t\t\toperation.replacement = \"[[\" + operation.replacement+ \"]]\";\n\t\t\tbreak;\n\t\tcase \"macro\":\n\t\t\toperation.replacement = \"<<\" + (event.paramObject.macro || \"translink\") + \" \\\"\\\"\\\"\" + operation.replacement + \"\\\"\\\"\\\">>\";\n\t\t\tbreak;\n\t}\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart;\n\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "texteditoroperation"
        },
        "$:/core/modules/editor/operations/text/make-link.js": {
            "title": "$:/core/modules/editor/operations/text/make-link.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/text/make-link.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to make a link\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"make-link\"] = function(event,operation) {\n\tif(operation.selection) {\n\t\toperation.replacement = \"[[\" + operation.selection + \"|\" + event.paramObject.text + \"]]\";\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t} else {\n\t\toperation.replacement = \"[[\" + event.paramObject.text + \"]]\";\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t}\n\toperation.newSelStart = operation.selStart + operation.replacement.length;\n\toperation.newSelEnd = operation.newSelStart;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "texteditoroperation"
        },
        "$:/core/modules/editor/operations/text/prefix-lines.js": {
            "title": "$:/core/modules/editor/operations/text/prefix-lines.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/text/prefix-lines.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to add a prefix to the selected lines\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"prefix-lines\"] = function(event,operation) {\n\tvar targetCount = parseInt(event.paramObject.count + \"\",10);\n\t// Cut just past the preceding line break, or the start of the text\n\toperation.cutStart = $tw.utils.findPrecedingLineBreak(operation.text,operation.selStart);\n\t// Cut to just past the following line break, or to the end of the text\n\toperation.cutEnd = $tw.utils.findFollowingLineBreak(operation.text,operation.selEnd);\n\t// Compose the required prefix\n\tvar prefix = $tw.utils.repeat(event.paramObject.character,targetCount);\n\t// Process each line\n\tvar lines = operation.text.substring(operation.cutStart,operation.cutEnd).split(/\\r?\\n/mg);\n\t$tw.utils.each(lines,function(line,index) {\n\t\t// Remove and count any existing prefix characters\n\t\tvar count = 0;\n\t\twhile(line.charAt(0) === event.paramObject.character) {\n\t\t\tline = line.substring(1);\n\t\t\tcount++;\n\t\t}\n\t\t// Remove any whitespace\n\t\twhile(line.charAt(0) === \" \") {\n\t\t\tline = line.substring(1);\n\t\t}\n\t\t// We're done if we removed the exact required prefix, otherwise add it\n\t\tif(count !== targetCount) {\n\t\t\t// Apply the prefix\n\t\t\tline =  prefix + \" \" + line;\n\t\t}\n\t\t// Save the modified line\n\t\tlines[index] = line;\n\t});\n\t// Stitch the replacement text together and set the selection\n\toperation.replacement = lines.join(\"\\n\");\n\tif(lines.length === 1) {\n\t\toperation.newSelStart = operation.cutStart + operation.replacement.length;\n\t\toperation.newSelEnd = operation.newSelStart;\n\t} else {\n\t\toperation.newSelStart = operation.cutStart;\n\t\toperation.newSelEnd = operation.newSelStart + operation.replacement.length;\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "texteditoroperation"
        },
        "$:/core/modules/editor/operations/text/replace-all.js": {
            "title": "$:/core/modules/editor/operations/text/replace-all.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/text/replace-all.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to replace the entire text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"replace-all\"] = function(event,operation) {\n\toperation.cutStart = 0;\n\toperation.cutEnd = operation.text.length;\n\toperation.replacement = event.paramObject.text;\n\toperation.newSelStart = 0;\n\toperation.newSelEnd = operation.replacement.length;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "texteditoroperation"
        },
        "$:/core/modules/editor/operations/text/replace-selection.js": {
            "title": "$:/core/modules/editor/operations/text/replace-selection.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/text/replace-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to replace the selection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"replace-selection\"] = function(event,operation) {\n\toperation.replacement = event.paramObject.text;\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart;\n\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "texteditoroperation"
        },
        "$:/core/modules/editor/operations/text/save-selection.js": {
            "title": "$:/core/modules/editor/operations/text/save-selection.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/text/save-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to save the current selection in a specified tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"save-selection\"] = function(event,operation) {\n\tvar tiddler = event.paramObject.tiddler,\n\t\tfield = event.paramObject.field || \"text\";\n\tif(tiddler && field) {\n\t\tthis.wiki.setText(tiddler,field,null,operation.text.substring(operation.selStart,operation.selEnd));\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "texteditoroperation"
        },
        "$:/core/modules/editor/operations/text/wrap-lines.js": {
            "title": "$:/core/modules/editor/operations/text/wrap-lines.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/text/wrap-lines.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to wrap the selected lines with a prefix and suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"wrap-lines\"] = function(event,operation) {\n\t// Cut just past the preceding line break, or the start of the text\n\toperation.cutStart = $tw.utils.findPrecedingLineBreak(operation.text,operation.selStart);\n\t// Cut to just past the following line break, or to the end of the text\n\toperation.cutEnd = $tw.utils.findFollowingLineBreak(operation.text,operation.selEnd);\n\t// Add the prefix and suffix\n\toperation.replacement = event.paramObject.prefix + \"\\n\" +\n\t\t\t\toperation.text.substring(operation.cutStart,operation.cutEnd) + \"\\n\" +\n\t\t\t\tevent.paramObject.suffix + \"\\n\";\n\toperation.newSelStart = operation.cutStart + event.paramObject.prefix.length + 1;\n\toperation.newSelEnd = operation.newSelStart + (operation.cutEnd - operation.cutStart);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "texteditoroperation"
        },
        "$:/core/modules/editor/operations/text/wrap-selection.js": {
            "title": "$:/core/modules/editor/operations/text/wrap-selection.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/text/wrap-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to wrap the selection with the specified prefix and suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"wrap-selection\"] = function(event,operation) {\n\tif(operation.selStart === operation.selEnd) {\n\t\t// No selection; check if we're within the prefix/suffix\n\t\tif(operation.text.substring(operation.selStart - event.paramObject.prefix.length,operation.selStart + event.paramObject.suffix.length) === event.paramObject.prefix + event.paramObject.suffix) {\n\t\t\t// Remove the prefix and suffix\n\t\t\toperation.cutStart = operation.selStart - event.paramObject.prefix.length;\n\t\t\toperation.cutEnd = operation.selEnd + event.paramObject.suffix.length;\n\t\t\toperation.replacement = \"\";\n\t\t\toperation.newSelStart = operation.cutStart;\n\t\t\toperation.newSelEnd = operation.newSelStart;\n\t\t} else {\n\t\t\t// Wrap the cursor instead\n\t\t\toperation.cutStart = operation.selStart;\n\t\t\toperation.cutEnd = operation.selEnd;\n\t\t\toperation.replacement = event.paramObject.prefix + event.paramObject.suffix;\n\t\t\toperation.newSelStart = operation.selStart + event.paramObject.prefix.length;\n\t\t\toperation.newSelEnd = operation.newSelStart;\n\t\t}\n\t} else if(operation.text.substring(operation.selStart,operation.selStart + event.paramObject.prefix.length) === event.paramObject.prefix && operation.text.substring(operation.selEnd - event.paramObject.suffix.length,operation.selEnd) === event.paramObject.suffix) {\n\t\t// Prefix and suffix are already present, so remove them\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t\toperation.replacement = operation.selection.substring(event.paramObject.prefix.length,operation.selection.length - event.paramObject.suffix.length);\n\t\toperation.newSelStart = operation.selStart;\n\t\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n\t} else {\n\t\t// Add the prefix and suffix\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t\toperation.replacement = event.paramObject.prefix + operation.selection + event.paramObject.suffix;\n\t\toperation.newSelStart = operation.selStart;\n\t\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "texteditoroperation"
        },
        "$:/core/modules/filters/addprefix.js": {
            "title": "$:/core/modules/filters/addprefix.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/addprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a prefix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(operator.operand + title);\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/addsuffix.js": {
            "title": "$:/core/modules/filters/addsuffix.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/addsuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a suffix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addsuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title + operator.operand);\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/after.js": {
            "title": "$:/core/modules/filters/after.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/after.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is after the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.after = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index === -1 || index > (results.length - 2)) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index + 1]];\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/all/current.js": {
            "title": "$:/core/modules/filters/all/current.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/all/current.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar currTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(currTiddlerTitle) {\n\t\treturn [currTiddlerTitle];\n\t} else {\n\t\treturn [];\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "allfilteroperator"
        },
        "$:/core/modules/filters/all/missing.js": {
            "title": "$:/core/modules/filters/all/missing.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/all/missing.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\treturn options.wiki.getMissingTitles();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "allfilteroperator"
        },
        "$:/core/modules/filters/all/orphans.js": {
            "title": "$:/core/modules/filters/all/orphans.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/all/orphans.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[orphans]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphans = function(source,prefix,options) {\n\treturn options.wiki.getOrphanTitles();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "allfilteroperator"
        },
        "$:/core/modules/filters/all/shadows.js": {
            "title": "$:/core/modules/filters/all/shadows.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/all/shadows.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[shadows]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadows = function(source,prefix,options) {\n\treturn options.wiki.allShadowTitles();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "allfilteroperator"
        },
        "$:/core/modules/filters/all/tags.js": {
            "title": "$:/core/modules/filters/all/tags.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/all/tags.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tags]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,prefix,options) {\n\treturn Object.keys(options.wiki.getTagMap());\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "allfilteroperator"
        },
        "$:/core/modules/filters/all/tiddlers.js": {
            "title": "$:/core/modules/filters/all/tiddlers.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/all/tiddlers.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddlers = function(source,prefix,options) {\n\treturn options.wiki.allTitles();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "allfilteroperator"
        },
        "$:/core/modules/filters/all.js": {
            "title": "$:/core/modules/filters/all.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/all.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for selecting tiddlers\n\n[all[shadows+tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar allFilterOperators;\n\nfunction getAllFilterOperators() {\n\tif(!allFilterOperators) {\n\t\tallFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"allfilteroperator\",allFilterOperators);\n\t}\n\treturn allFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.all = function(source,operator,options) {\n\t// Get our suboperators\n\tvar allFilterOperators = getAllFilterOperators();\n\t// Cycle through the suboperators accumulating their results\n\tvar results = [],\n\t\tsubops = operator.operand.split(\"+\");\n\t// Check for common optimisations\n\tif(subops.length === 1 && subops[0] === \"\") {\n\t\treturn source;\n\t} else if(subops.length === 1 && subops[0] === \"tiddlers\") {\n\t\treturn options.wiki.each;\n\t} else if(subops.length === 1 && subops[0] === \"shadows\") {\n\t\treturn options.wiki.eachShadow;\n\t} else if(subops.length === 2 && subops[0] === \"tiddlers\" && subops[1] === \"shadows\") {\n\t\treturn options.wiki.eachTiddlerPlusShadows;\n\t} else if(subops.length === 2 && subops[0] === \"shadows\" && subops[1] === \"tiddlers\") {\n\t\treturn options.wiki.eachShadowPlusTiddlers;\n\t}\n\t// Do it the hard way\n\tfor(var t=0; t<subops.length; t++) {\n\t\tvar subop = allFilterOperators[subops[t]];\n\t\tif(subop) {\n\t\t\t$tw.utils.pushTop(results,subop(source,operator.prefix,options));\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/backlinks.js": {
            "title": "$:/core/modules/filters/backlinks.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/backlinks.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the backlinks from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.backlinks = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlerBacklinks(title));\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/before.js": {
            "title": "$:/core/modules/filters/before.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/before.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is before the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.before = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index <= 0) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index - 1]];\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/commands.js": {
            "title": "$:/core/modules/filters/commands.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/commands.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the commands available in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.commands = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.commands,function(commandInfo,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/compare.js": {
            "title": "$:/core/modules/filters/compare.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/compare.js\ntype: application/javascript\nmodule-type: filteroperator\n\nGeneral purpose comparison operator\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.compare = function(source,operator,options) {\n\tvar suffixes = operator.suffixes || [],\n\t\ttype = (suffixes[0] || [])[0],\n\t\tmode = (suffixes[1] || [])[0],\n\t\ttypeFn = types[type] || types.number,\n\t\tmodeFn = modes[mode] || modes.eq,\n\t\tinvert = operator.prefix === \"!\",\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tif(modeFn(typeFn(title,operator.operand)) !== invert) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\nvar types = {\n\t\"number\": function(a,b) {\n\t\treturn compare($tw.utils.parseNumber(a),$tw.utils.parseNumber(b));\n\t},\n\t\"integer\": function(a,b) {\n\t\treturn compare($tw.utils.parseInt(a),$tw.utils.parseInt(b));\n\t},\n\t\"string\": function(a,b) {\n\t\treturn compare(\"\" + a,\"\" +b);\n\t},\n\t\"date\": function(a,b) {\n\t\tvar dateA = $tw.utils.parseDate(a),\n\t\t\tdateB = $tw.utils.parseDate(b);\n\t\tif(!isFinite(dateA)) {\n\t\t\tdateA = new Date(0);\n\t\t}\n\t\tif(!isFinite(dateB)) {\n\t\t\tdateB = new Date(0);\n\t\t}\n\t\treturn compare(dateA,dateB);\n\t},\n\t\"version\": function(a,b) {\n\t\treturn $tw.utils.compareVersions(a,b);\n\t}\n};\n\nfunction compare(a,b) {\n\tif(a > b) {\n\t\treturn +1;\n\t} else if(a < b) {\n\t\treturn -1;\n\t} else {\n\t\treturn 0;\n\t}\n};\n\nvar modes = {\n\t\"eq\": function(value) {return value === 0;},\n\t\"ne\": function(value) {return value !== 0;},\n\t\"gteq\": function(value) {return value >= 0;},\n\t\"gt\": function(value) {return value > 0;},\n\t\"lteq\": function(value) {return value <= 0;},\n\t\"lt\": function(value) {return value < 0;}\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/contains.js": {
            "title": "$:/core/modules/filters/contains.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/contains.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for finding values in array fields\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.contains = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = (operator.suffix || \"list\").toLowerCase();\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\tvar list = tiddler.getFieldList(fieldname);\n\t\t\t\tif(list.indexOf(operator.operand) === -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\tvar list = tiddler.getFieldList(fieldname);\n\t\t\t\tif(list.indexOf(operator.operand) !== -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/count.js": {
            "title": "$:/core/modules/filters/count.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/count.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the number of entries in the current list.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.count = function(source,operator,options) {\n\tvar count = 0;\n\tsource(function(tiddler,title) {\n\t\tcount++;\n\t});\n\treturn [count + \"\"];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/days.js": {
            "title": "$:/core/modules/filters/days.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/days.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a specified date field within a specified date interval.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.days = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\tdayInterval = (parseInt(operator.operand,10)||0),\n\t\tdayIntervalSign = $tw.utils.sign(dayInterval),\n\t\ttargetTimeStamp = (new Date()).setHours(0,0,0,0) + 1000*60*60*24*dayInterval,\n\t\tisWithinDays = function(dateField) {\n\t\t\tvar sign = $tw.utils.sign(targetTimeStamp - (new Date(dateField)).setHours(0,0,0,0));\n\t\t\treturn sign === 0 || sign === dayIntervalSign;\n\t\t};\n\n\tif(operator.prefix === \"!\") {\n\t\ttargetTimeStamp = targetTimeStamp - 1000*60*60*24*dayIntervalSign;\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(!isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/each.js": {
            "title": "$:/core/modules/filters/each.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/each.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique value of the specified field.\nWith suffix \"list\", selects all tiddlers that are values in a specified list field.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.each = function(source,operator,options) {\n\tvar results =[] ,\n\tvalue,values = {},\n\tfield = operator.operand || \"title\";\n\tif(operator.suffix === \"value\" && field === \"title\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!$tw.utils.hop(values,title)) {\n\t\t\t\tvalues[title] = true;\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else if(operator.suffix !== \"list-item\") {\n\t\tif(field === \"title\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && !$tw.utils.hop(values,title)) {\n\t\t\t\t\tvalues[title] = true;\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvalue = tiddler.getFieldString(field);\n\t\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\t$tw.utils.each(\n\t\t\t\t\toptions.wiki.getTiddlerList(title,field),\n\t\t\t\t\tfunction(value) {\n\t\t\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\t\t\tresults.push(value);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/eachday.js": {
            "title": "$:/core/modules/filters/eachday.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/eachday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique day covered by the specified date field\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.eachday = function(source,operator,options) {\n\tvar results = [],\n\t\tvalues = [],\n\t\tfieldName = operator.operand || \"modified\";\n\t// Function to convert a date/time to a date integer\n\tvar toDate = function(value) {\n\t\tvalue = (new Date(value)).setHours(0,0,0,0);\n\t\treturn value+0;\n\t};\n\tsource(function(tiddler,title) {\n\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\tvar value = toDate($tw.utils.parseDate(tiddler.fields[fieldName]));\n\t\t\tif(values.indexOf(value) === -1) {\n\t\t\t\tvalues.push(value);\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/editiondescription.js": {
            "title": "$:/core/modules/filters/editiondescription.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/editiondescription.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the descriptions of the specified edition names\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editiondescription = function(source,operator,options) {\n\tvar results = [],\n\t\teditionInfo = $tw.utils.getEditionInfo();\n\tif(editionInfo) {\n\t\tsource(function(tiddler,title) {\n\t\t\tif($tw.utils.hop(editionInfo,title)) {\n\t\t\t\tresults.push(editionInfo[title].description || \"\");\t\t\t\t\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/editions.js": {
            "title": "$:/core/modules/filters/editions.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/editions.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the available editions in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editions = function(source,operator,options) {\n\tvar results = [],\n\t\teditionInfo = $tw.utils.getEditionInfo();\n\tif(editionInfo) {\n\t\t$tw.utils.each(editionInfo,function(info,name) {\n\t\t\tresults.push(name);\n\t\t});\n\t}\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/else.js": {
            "title": "$:/core/modules/filters/else.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/else.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing an empty input list with a constant, passing a non-empty input list straight through\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.else = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tif(results.length === 0) {\n\t\treturn [operator.operand];\n\t} else {\n\t\treturn results;\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/decodeuricomponent.js": {
            "title": "$:/core/modules/filters/decodeuricomponent.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/decodeuricomponent.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for applying decodeURIComponent() to each item.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter functions\n*/\n\nexports.decodeuricomponent = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar value = title;\n\t\ttry {\n\t\t\tvalue = decodeURIComponent(title);\n\t\t} catch(e) {\n\t\t}\n\t\tresults.push(value);\n\t});\n\treturn results;\n};\n\nexports.encodeuricomponent = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(encodeURIComponent(title));\n\t});\n\treturn results;\n};\n\nexports.decodeuri = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar value = title;\n\t\ttry {\n\t\t\tvalue = decodeURI(title);\n\t\t} catch(e) {\n\t\t}\n\t\tresults.push(value);\n\t});\n\treturn results;\n};\n\nexports.encodeuri = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(encodeURI(title));\n\t});\n\treturn results;\n};\n\nexports.decodehtml = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.htmlDecode(title));\n\t});\n\treturn results;\n};\n\nexports.encodehtml = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.htmlEncode(title));\n\t});\n\treturn results;\n};\n\nexports.stringify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.stringify(title));\n\t});\n\treturn results;\n};\n\nexports.jsonstringify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.jsonStringify(title));\n\t});\n\treturn results;\n};\n\nexports.escaperegexp = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.escapeRegExp(title));\n\t});\n\treturn results;\n};\n\nexports.escapecss = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t// escape any character with a special meaning in CSS using CSS.escape()\n\t\tresults.push(CSS.escape(title));\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/enlist.js": {
            "title": "$:/core/modules/filters/enlist.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/enlist.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning its operand parsed as a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.enlist = function(source,operator,options) {\n\tvar allowDuplicates = false;\n\tswitch(operator.suffix) {\n\t\tcase \"raw\":\n\t\t\tallowDuplicates = true;\n\t\t\tbreak;\n\t\tcase \"dedupe\":\n\t\t\tallowDuplicates = false;\n\t\t\tbreak;\n\t}\n\tvar list = $tw.utils.parseStringArray(operator.operand,allowDuplicates);\n\tif(operator.prefix === \"!\") {\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t\treturn results;\n\t} else {\n\t\treturn list;\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/field.js": {
            "title": "$:/core/modules/filters/field.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/field.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.field = function(source,operator,options) {\n\tvar results = [],indexedResults,\n\t\tfieldname = (operator.suffix || operator.operator || \"title\").toLowerCase();\n\tif(operator.prefix === \"!\") {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text !== operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !!operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tif(source.byField && operator.operand) {\n\t\t\t\tindexedResults = source.byField(fieldname,operator.operand);\n\t\t\t\tif(indexedResults) {\n\t\t\t\t\treturn indexedResults\n\t\t\t\t}\n\t\t\t}\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text === operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/fields.js": {
            "title": "$:/core/modules/filters/fields.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/fields.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the fields on the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.fields = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName,\n\t\tsuffixes = (operator.suffixes || [])[0] || [],\n\t\toperand = $tw.utils.parseStringArray(operator.operand);\n\t\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tif(suffixes.indexOf(\"include\") !== -1) {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t(operand.indexOf(fieldName) !== -1) ? $tw.utils.pushTop(results,fieldName) : \"\";\n\t\t\t\t}\n\t\t\t} else if (suffixes.indexOf(\"exclude\") !== -1) {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t(operand.indexOf(fieldName) !== -1) ? \"\" : $tw.utils.pushTop(results,fieldName);\n\t\t\t\t}\n\t\t\t} // else if\n\t\t\telse {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t$tw.utils.pushTop(results,fieldName);\n\t\t\t\t}\n\t\t\t} // else\n\t\t} // if (tiddler)\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/get.js": {
            "title": "$:/core/modules/filters/get.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/get.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing tiddler titles by the value of the field specified in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.get = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tvar value = tiddler.getFieldString(operator.operand);\n\t\t\tif(value) {\n\t\t\t\tresults.push(value);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/getindex.js": {
            "title": "$:/core/modules/filters/getindex.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/getindex.js\ntype: application/javascript\nmodule-type: filteroperator\n\nreturns the value at a given index of datatiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.getindex = function(source,operator,options) {\n\tvar data,title,results = [];\n\tif(operator.operand){\n\t\tsource(function(tiddler,title) {\n\t\t\ttitle = tiddler ? tiddler.fields.title : title;\n\t\t\tdata = options.wiki.extractTiddlerDataItem(tiddler,operator.operand);\n\t\t\tif(data) {\n\t\t\t\tresults.push(data);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/getvariable.js": {
            "title": "$:/core/modules/filters/getvariable.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/getvariable.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing input values by the value of the variable with the same name, or blank if the variable is missing\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.getvariable = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.widget.getVariable(title) || \"\");\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/has.js": {
            "title": "$:/core/modules/filters/has.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/has.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a tiddler has the specified field or index\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.has = function(source,operator,options) {\n\tvar results = [],\n\t\tinvert = operator.prefix === \"!\";\n\n\tif(operator.suffix === \"field\") {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || (tiddler && (!$tw.utils.hop(tiddler.fields,operator.operand)))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\telse if(operator.suffix === \"index\") {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || (tiddler && (!$tw.utils.hop($tw.wiki.getTiddlerDataCached(tiddler,Object.create(null)),operator.operand)))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop($tw.wiki.getTiddlerDataCached(tiddler,Object.create(null)),operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\telse {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || !$tw.utils.hop(tiddler.fields,operator.operand) || (tiddler.fields[operator.operand] === \"\")) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand) && !(tiddler.fields[operator.operand] === \"\" || tiddler.fields[operator.operand].length === 0)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\t\t\t\t\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/haschanged.js": {
            "title": "$:/core/modules/filters/haschanged.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/haschanged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returns tiddlers from the list that have a non-zero changecount.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.haschanged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) === 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) > 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/indexes.js": {
            "title": "$:/core/modules/filters/indexes.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/indexes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the indexes of a data tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.indexes = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar data = options.wiki.getTiddlerDataCached(title);\n\t\tif(data) {\n\t\t\t$tw.utils.pushTop(results,Object.keys(data));\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/insertbefore.js": {
            "title": "$:/core/modules/filters/insertbefore.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/insertbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nInsert an item before another item in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.insertbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar target = options.widget && options.widget.getVariable(operator.suffix || \"currentTiddler\");\n\tif(target !== operator.operand) {\n\t\t// Remove the entry from the list if it is present\n\t\tvar pos = results.indexOf(operator.operand);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,1);\n\t\t}\n\t\t// Insert the entry before the target marker\n\t\tpos = results.indexOf(target);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,0,operator.operand);\n\t\t} else {\n\t\t\tresults.push(operator.operand);\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/is/binary.js": {
            "title": "$:/core/modules/filters/is/binary.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/binary.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[binary]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.binary = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isBinaryTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isBinaryTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/blank.js": {
            "title": "$:/core/modules/filters/is/blank.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/blank.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[blank]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.blank = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!title) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/current.js": {
            "title": "$:/core/modules/filters/is/current.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/current.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar results = [],\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title !== currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title === currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/image.js": {
            "title": "$:/core/modules/filters/is/image.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/image.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[image]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.image = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/missing.js": {
            "title": "$:/core/modules/filters/is/missing.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/missing.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/orphan.js": {
            "title": "$:/core/modules/filters/is/orphan.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/orphan.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[orphan]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphan = function(source,prefix,options) {\n\tvar results = [],\n\t\torphanTitles = options.wiki.getOrphanTitles();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) !== -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/shadow.js": {
            "title": "$:/core/modules/filters/is/shadow.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/shadow.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[shadow]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadow = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/system.js": {
            "title": "$:/core/modules/filters/is/system.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/system.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[system]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.system = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/tag.js": {
            "title": "$:/core/modules/filters/is/tag.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/tag.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tag]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,prefix,options) {\n\tvar results = [],\n\t\ttagMap = options.wiki.getTagMap();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!$tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif($tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/tiddler.js": {
            "title": "$:/core/modules/filters/is/tiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/tiddler.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tiddler]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddler = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/variable.js": {
            "title": "$:/core/modules/filters/is/variable.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/variable.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[variable]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.variable = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!(title in options.widget.variables)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title in options.widget.variables) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is.js": {
            "title": "$:/core/modules/filters/is.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking tiddler properties\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar isFilterOperators;\n\nfunction getIsFilterOperators() {\n\tif(!isFilterOperators) {\n\t\tisFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"isfilteroperator\",isFilterOperators);\n\t}\n\treturn isFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.is = function(source,operator,options) {\n\t// Dispatch to the correct isfilteroperator\n\tvar isFilterOperators = getIsFilterOperators();\n\tif(operator.operand) {\n\t\tvar isFilterOperator = isFilterOperators[operator.operand];\n\t\tif(isFilterOperator) {\n\t\t\treturn isFilterOperator(source,operator.prefix,options);\n\t\t} else {\n\t\t\treturn [$tw.language.getString(\"Error/IsFilterOperator\")];\n\t\t}\n\t} else {\n\t\t// Return all tiddlers if the operand is missing\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t\treturn results;\n\t}\n};\n\n})();",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/limit.js": {
            "title": "$:/core/modules/filters/limit.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/limit.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for chopping the results to a specified maximum number of entries\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.limit = function(source,operator,options) {\n\tvar results = [];\n\t// Convert to an array\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\t// Slice the array if necessary\n\tvar limit = Math.min(results.length,parseInt(operator.operand,10));\n\tif(operator.prefix === \"!\") {\n\t\tresults = results.slice(-limit);\n\t} else {\n\t\tresults = results.slice(0,limit);\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/links.js": {
            "title": "$:/core/modules/filters/links.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/links.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the links from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.links = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlerLinks(title));\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/list.js": {
            "title": "$:/core/modules/filters/list.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/list.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddlers whose title is listed in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.list = function(source,operator,options) {\n\tvar results = [],\n\t\ttr = $tw.utils.parseTextReference(operator.operand),\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\"),\n\t\tlist = options.wiki.getTiddlerList(tr.title || currTiddlerTitle,tr.field,tr.index);\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults = list;\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/listed.js": {
            "title": "$:/core/modules/filters/listed.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/listed.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that have the selected tiddlers in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.listed = function(source,operator,options) {\n\tvar field = operator.operand || \"list\",\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.findListingsOfTiddler(title,field));\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/listops.js": {
            "title": "$:/core/modules/filters/listops.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for manipulating the current selection list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.order = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.operand.toLowerCase() === \"reverse\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.unshift(title);\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t}\n\treturn results;\n};\n\n/*\nReverse list\n*/\nexports.reverse = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.unshift(title);\n\t});\n\treturn results;\n};\n\n/*\nFirst entry/entries in list\n*/\nexports.first = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,count);\n};\n\n/*\nLast entry/entries in list\n*/\nexports.last = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(-count);\n};\n\n/*\nAll but the first entry/entries of the list\n*/\nexports.rest = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count);\n};\nexports.butfirst = exports.rest;\nexports.bf = exports.rest;\n\n/*\nAll but the last entry/entries of the list\n*/\nexports.butlast = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,-count);\n};\nexports.bl = exports.butlast;\n\n/*\nThe nth member of the list\n*/\nexports.nth = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count - 1,count);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/lookup.js": {
            "title": "$:/core/modules/filters/lookup.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/lookup.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that looks up values via a title prefix\n\n[lookup:<field>[<prefix>]]\n\nPrepends the prefix to the selected items and returns the specified field value\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.lookup = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.wiki.getTiddlerText(operator.operand + title) || options.wiki.getTiddlerText(operator.operand + operator.suffix));\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/match.js": {
            "title": "$:/core/modules/filters/match.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/match.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title matches a string\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.match = function(source,operator,options) {\n\tvar results = [],\n\t\tsuffixes = (operator.suffixes || [])[0] || [];\n\tif(suffixes.indexOf(\"caseinsensitive\") !== -1) {\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase() !== (operator.operand || \"\").toLowerCase()) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase() === (operator.operand || \"\").toLowerCase()) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title !== operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title === operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/math.js": {
            "title": "$:/core/modules/filters/math.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/math.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for math. Unary/binary operators work on each item in turn, and return a new item list.\n\nSum/product/maxall/minall operate on the entire list, returning a single item.\n\nNote that strings are converted to numbers automatically. Trailing non-digits are ignored.\n\n* \"\" converts to 0\n* \"12kk\" converts to 12\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.negate = makeNumericBinaryOperator(\n\tfunction(a) {return -a}\n);\n\nexports.abs = makeNumericBinaryOperator(\n\tfunction(a) {return Math.abs(a)}\n);\n\nexports.ceil = makeNumericBinaryOperator(\n\tfunction(a) {return Math.ceil(a)}\n);\n\nexports.floor = makeNumericBinaryOperator(\n\tfunction(a) {return Math.floor(a)}\n);\n\nexports.round = makeNumericBinaryOperator(\n\tfunction(a) {return Math.round(a)}\n);\n\nexports.trunc = makeNumericBinaryOperator(\n\tfunction(a) {return Math.trunc(a)}\n);\n\nexports.untrunc = makeNumericBinaryOperator(\n\tfunction(a) {return Math.ceil(Math.abs(a)) * Math.sign(a)}\n);\n\nexports.sign = makeNumericBinaryOperator(\n\tfunction(a) {return Math.sign(a)}\n);\n\nexports.add = makeNumericBinaryOperator(\n\tfunction(a,b) {return a + b;}\n);\n\nexports.subtract = makeNumericBinaryOperator(\n\tfunction(a,b) {return a - b;}\n);\n\nexports.multiply = makeNumericBinaryOperator(\n\tfunction(a,b) {return a * b;}\n);\n\nexports.divide = makeNumericBinaryOperator(\n\tfunction(a,b) {return a / b;}\n);\n\nexports.remainder = makeNumericBinaryOperator(\n\tfunction(a,b) {return a % b;}\n);\n\nexports.max = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.max(a,b);}\n);\n\nexports.min = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.min(a,b);}\n);\n\nexports.fixed = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toFixed.call(a,Math.min(Math.max(b,0),100));}\n);\n\nexports.precision = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toPrecision.call(a,Math.min(Math.max(b,1),100));}\n);\n\nexports.exponential = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toExponential.call(a,Math.min(Math.max(b,0),100));}\n);\n\nexports.sum = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator + value},\n\t0 // Initial value\n);\n\nexports.product = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator * value},\n\t1 // Initial value\n);\n\nexports.maxall = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return Math.max(accumulator,value)},\n\t-Infinity // Initial value\n);\n\nexports.minall = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return Math.min(accumulator,value)},\n\tInfinity // Initial value\n);\n\nfunction makeNumericBinaryOperator(fnCalc) {\n\treturn function(source,operator,options) {\n\t\tvar result = [],\n\t\t\tnumOperand = $tw.utils.parseNumber(operator.operand);\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push($tw.utils.stringifyNumber(fnCalc($tw.utils.parseNumber(title),numOperand)));\n\t\t});\n\t\treturn result;\n\t};\n}\n\nfunction makeNumericReducingOperator(fnCalc,initialValue) {\n\tinitialValue = initialValue || 0;\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push(title);\n\t\t});\n\t\treturn [$tw.utils.stringifyNumber(result.reduce(function(accumulator,currentValue) {\n\t\t\treturn fnCalc(accumulator,$tw.utils.parseNumber(currentValue));\n\t\t},initialValue))];\n\t};\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/minlength.js": {
            "title": "$:/core/modules/filters/minlength.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/minlength.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for filtering out titles that don't meet the minimum length in the operand\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.minlength = function(source,operator,options) {\n\tvar results = [],\n\t\tminLength = parseInt(operator.operand || \"\",10) || 0;\n\tsource(function(tiddler,title) {\n\t\tif(title.length >= minLength) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/modules.js": {
            "title": "$:/core/modules/filters/modules.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/modules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the modules of a given type in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.modules = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.each($tw.modules.types[title],function(moduleInfo,moduleName) {\n\t\t\tresults.push(moduleName);\n\t\t});\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/moduletypes.js": {
            "title": "$:/core/modules/filters/moduletypes.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/moduletypes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the module types in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.moduletypes = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.modules.types,function(moduleInfo,type) {\n\t\tresults.push(type);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/next.js": {
            "title": "$:/core/modules/filters/next.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/next.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs next in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.next = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch++;\n\t\tif(match > 0 && match < list.length) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/plugintiddlers.js": {
            "title": "$:/core/modules/filters/plugintiddlers.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/plugintiddlers.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the shadow tiddlers within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.plugintiddlers = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar pluginInfo = options.wiki.getPluginInfo(title) || options.wiki.getTiddlerDataCached(title,{tiddlers:[]});\n\t\tif(pluginInfo && pluginInfo.tiddlers) {\n\t\t\t$tw.utils.each(pluginInfo.tiddlers,function(fields,title) {\n\t\t\t\tresults.push(title);\n\t\t\t});\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/prefix.js": {
            "title": "$:/core/modules/filters/prefix.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/prefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title starts with a prefix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.prefix = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/previous.js": {
            "title": "$:/core/modules/filters/previous.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/previous.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs immediately prior in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.previous = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch--;\n\t\tif(match >= 0) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/range.js": {
            "title": "$:/core/modules/filters/range.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/range.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for generating a numeric range.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.range = function(source,operator,options) {\n\tvar results = [];\n\t// Split the operand into numbers delimited by these symbols\n\tvar parts = operator.operand.split(/[,:;]/g),\n\t\tbeg, end, inc, i, fixed = 0;\n\tfor (i=0; i<parts.length; i++) {\n\t\t// Validate real number\n\t\tif(!/^\\s*[+-]?((\\d+(\\.\\d*)?)|(\\.\\d+))\\s*$/.test(parts[i])) {\n\t\t\treturn [\"range: bad number \\\"\" + parts[i] + \"\\\"\"];\n\t\t}\n\t\t// Count digits; the most precise number determines decimal places in output.\n\t\tvar frac = /\\.\\d+/.exec(parts[i]);\n\t\tif(frac) {\n\t\t\tfixed = Math.max(fixed,frac[0].length-1);\n\t\t}\n\t\tparts[i] = parseFloat(parts[i]);\n\t}\n\tswitch(parts.length) {\n\t\tcase 1:\n\t\t\tend = parts[0];\n\t\t\tif (end >= 1) {\n\t\t\t\tbeg = 1;\n\t\t\t}\n\t\t\telse if (end <= -1) {\n\t\t\t\tbeg = -1;\n\t\t\t}\n\t\t\telse {\n\t\t\t\treturn [];\n\t\t\t}\n\t\t\tinc = 1;\n\t\t\tbreak;\n\t\tcase 2:\n\t\t\tbeg = parts[0];\n\t\t\tend = parts[1];\n\t\t\tinc = 1;\n\t\t\tbreak;\n\t\tcase 3:\n\t\t\tbeg = parts[0];\n\t\t\tend = parts[1];\n\t\t\tinc = Math.abs(parts[2]);\n\t\t\tbreak;\n\t}\n\tif(inc === 0) {\n\t\treturn [\"range: increment 0 causes infinite loop\"];\n\t}\n\t// May need to count backwards\n\tvar direction = ((end < beg) ? -1 : 1);\n\tinc *= direction;\n\t// Estimate number of resulting elements\n\tif((end - beg) / inc > 10000) {\n\t\treturn [\"range: too many steps (over 10K)\"];\n\t}\n\t// Avoid rounding error on last step\n\tend += direction * 0.5 * Math.pow(0.1,fixed);\n\tvar safety = 10010;\n\t// Enumerate the range\n\tif (end<beg) {\n\t\tfor(i=beg; i>end; i+=inc) {\n\t\t\tresults.push(i.toFixed(fixed));\n\t\t\tif(--safety<0) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t} else {\n\t\tfor(i=beg; i<end; i+=inc) {\n\t\t\tresults.push(i.toFixed(fixed));\n\t\t\tif(--safety<0) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\tif(safety<0) {\n\t\treturn [\"range: unexpectedly large output\"];\n\t}\n\t// Reverse?\n\tif(operator.prefix === \"!\") {\n\t\tresults.reverse();\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/regexp.js": {
            "title": "$:/core/modules/filters/regexp.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/regexp.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for regexp matching\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.regexp = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = (operator.suffix || \"title\").toLowerCase(),\n\t\tregexpString, regexp, flags = \"\", match,\n\t\tgetFieldString = function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\treturn tiddler.getFieldString(fieldname);\n\t\t\t} else if(fieldname === \"title\") {\n\t\t\t\treturn title;\n\t\t\t} else {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t};\n\t// Process flags and construct regexp\n\tregexpString = operator.operand;\n\tmatch = /^\\(\\?([gim]+)\\)/.exec(regexpString);\n\tif(match) {\n\t\tflags = match[1];\n\t\tregexpString = regexpString.substr(match[0].length);\n\t} else {\n\t\tmatch = /\\(\\?([gim]+)\\)$/.exec(regexpString);\n\t\tif(match) {\n\t\t\tflags = match[1];\n\t\t\tregexpString = regexpString.substr(0,regexpString.length - match[0].length);\n\t\t}\n\t}\n\ttry {\n\t\tregexp = new RegExp(regexpString,flags);\n\t} catch(e) {\n\t\treturn [\"\" + e];\n\t}\n\t// Process the incoming tiddlers\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/removeprefix.js": {
            "title": "$:/core/modules/filters/removeprefix.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/removeprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a prefix from each title in the list. Titles that do not start with the prefix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removeprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\tresults.push(title.substr(operator.operand.length));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/removesuffix.js": {
            "title": "$:/core/modules/filters/removesuffix.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/removesuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a suffix from each title in the list. Titles that do not end with the suffix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removesuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title && title.substr(-operator.operand.length) === operator.operand) {\n\t\t\tresults.push(title.substr(0,title.length - operator.operand.length));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/sameday.js": {
            "title": "$:/core/modules/filters/sameday.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/sameday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a modified date field on the same day as the provided value.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sameday = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\ttargetDate = (new Date($tw.utils.parseDate(operator.operand))).setHours(0,0,0,0);\n\t// Function to convert a date/time to a date integer\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tif(tiddler.getFieldDay(fieldName) === targetDate) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/search.js": {
            "title": "$:/core/modules/filters/search.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/search.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for searching for the text in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.search = function(source,operator,options) {\n\tvar invert = operator.prefix === \"!\";\n\tif(operator.suffixes) {\n\t\tvar hasFlag = function(flag) {\n\t\t\t\treturn (operator.suffixes[1] || []).indexOf(flag) !== -1;\n\t\t\t},\n\t\t\texcludeFields = false,\n\t\t\tfieldList = operator.suffixes[0] || [],\n\t\t\tfirstField = fieldList[0] || \"\", \n\t\t\tfirstChar = firstField.charAt(0),\n\t\t\tfields;\n\t\tif(firstChar === \"-\") {\n\t\t\tfields = [firstField.slice(1)].concat(fieldList.slice(1));\n\t\t\texcludeFields = true;\n\t\t} else if(fieldList[0] === \"*\"){\n\t\t\tfields = [];\n\t\t\texcludeFields = true;\n\t\t} else {\n\t\t\tfields = fieldList.slice(0);\n\t\t}\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert,\n\t\t\tfield: fields,\n\t\t\texcludeField: excludeFields,\n\t\t\tcaseSensitive: hasFlag(\"casesensitive\"),\n\t\t\tliteral: hasFlag(\"literal\"),\n\t\t\twhitespace: hasFlag(\"whitespace\"),\n\t\t\tanchored: hasFlag(\"anchored\"),\n\t\t\tregexp: hasFlag(\"regexp\"),\n\t\t\twords: hasFlag(\"words\")\n\t\t});\n\t} else {\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert\n\t\t});\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/shadowsource.js": {
            "title": "$:/core/modules/filters/shadowsource.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/shadowsource.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the source plugins for shadow tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadowsource = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar source = options.wiki.getShadowSource(title);\n\t\tif(source) {\n\t\t\t$tw.utils.pushTop(results,source);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/sort.js": {
            "title": "$:/core/modules/filters/sort.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/sort.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for sorting\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,false);\n\treturn results;\n};\n\nexports.nsort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,true);\n\treturn results;\n};\n\nexports.sortan = function(source, operator, options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results, operator.operand || \"title\", operator.prefix === \"!\",false,false,true);\n\treturn results;\n};\n\nexports.sortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,false);\n\treturn results;\n};\n\nexports.nsortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,true);\n\treturn results;\n};\n\nvar prepare_results = function (source) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/splitbefore.js": {
            "title": "$:/core/modules/filters/splitbefore.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/splitbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that splits each result on the first occurance of the specified separator and returns the unique values.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.splitbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar parts = title.split(operator.operand);\n\t\tif(parts.length === 1) {\n\t\t\t$tw.utils.pushTop(results,parts[0]);\n\t\t} else {\n\t\t\t$tw.utils.pushTop(results,parts[0] + operator.operand);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/storyviews.js": {
            "title": "$:/core/modules/filters/storyviews.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/storyviews.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the story views in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.storyviews = function(source,operator,options) {\n\tvar results = [],\n\t\tstoryviews = {};\n\t$tw.modules.applyMethods(\"storyview\",storyviews);\n\t$tw.utils.each(storyviews,function(info,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/strings.js": {
            "title": "$:/core/modules/filters/strings.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/strings.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for strings. Unary/binary operators work on each item in turn, and return a new item list.\n\nSum/product/maxall/minall operate on the entire list, returning a single item.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.length = makeStringBinaryOperator(\n\tfunction(a) {return [\"\" + (\"\" + a).length];}\n);\n\nexports.uppercase = makeStringBinaryOperator(\n\tfunction(a) {return [(\"\" + a).toUpperCase()];}\n);\n\nexports.lowercase = makeStringBinaryOperator(\n\tfunction(a) {return [(\"\" + a).toLowerCase()];}\n);\n\nexports.sentencecase = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.toSentenceCase(a)];}\n);\n\nexports.titlecase = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.toTitleCase(a)];}\n);\n\nexports.trim = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.trim(a)];}\n);\n\nexports.split = makeStringBinaryOperator(\n\tfunction(a,b) {return (\"\" + a).split(b);}\n);\n\nexports.join = makeStringReducingOperator(\n\tfunction(accumulator,value,operand) {\n\t\tif(accumulator === null) {\n\t\t\treturn value;\n\t\t} else {\n\t\t\treturn accumulator + operand + value;\n\t\t}\n\t},null\n);\n\nfunction makeStringBinaryOperator(fnCalc) {\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tArray.prototype.push.apply(result,fnCalc(title,operator.operand || \"\"));\n\t\t});\n\t\treturn result;\n\t};\n}\n\nfunction makeStringReducingOperator(fnCalc,initialValue) {\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push(title);\n\t\t});\n\t\treturn [result.reduce(function(accumulator,currentValue) {\n\t\t\treturn fnCalc(accumulator,currentValue,operator.operand || \"\");\n\t\t},initialValue) || \"\"];\n\t};\n}\n\nexports.splitregexp = function(source,operator,options) {\n\tvar result = [],\n\t\tsuffix = operator.suffix || \"\",\n\t\tflags = (suffix.indexOf(\"m\") !== -1 ? \"m\" : \"\") + (suffix.indexOf(\"i\") !== -1 ? \"i\" : \"\"),\n\t\tregExp;\n\ttry {\n\t\tregExp = new RegExp(operator.operand || \"\",flags);\t\t\n\t} catch(ex) {\n\t\treturn [\"RegExp error: \" + ex];\n\t}\n\tsource(function(tiddler,title) {\n\t\tArray.prototype.push.apply(result,title.split(regExp));\n\t});\t\t\n\treturn result;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/subfilter.js": {
            "title": "$:/core/modules/filters/subfilter.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/subfilter.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning its operand evaluated as a filter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.subfilter = function(source,operator,options) {\n\tvar list = options.wiki.filterTiddlers(operator.operand,options.widget,source);\n\tif(operator.prefix === \"!\") {\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t\treturn results;\n\t} else {\n\t\treturn list;\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/subtiddlerfields.js": {
            "title": "$:/core/modules/filters/subtiddlerfields.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/subtiddlerfields.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the fields on the selected subtiddlers of the plugin named in the operand\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.subtiddlerfields = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar subtiddler = options.wiki.getSubTiddler(operator.operand,title);\n\t\tif(subtiddler) {\n\t\t\tfor(var fieldName in subtiddler.fields) {\n\t\t\t\t$tw.utils.pushTop(results,fieldName);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/suffix.js": {
            "title": "$:/core/modules/filters/suffix.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/suffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title ends with a suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.suffix = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(-operator.operand.length) !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(-operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/tag.js": {
            "title": "$:/core/modules/filters/tag.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/tag.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking for the presence of a tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,operator,options) {\n\tvar results = [],indexedResults;\n\tif((operator.suffix || \"\").toLowerCase() === \"strict\" && !operator.operand) {\n\t\t// New semantics:\n\t\t// Always return copy of input if operator.operand is missing\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t} else {\n\t\t// Old semantics:\n\t\tvar tiddlers;\n\t\tif(operator.prefix === \"!\") {\n\t\t\t// Returns a copy of the input if operator.operand is missing\n\t\t\ttiddlers = options.wiki.getTiddlersWithTag(operator.operand);\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddlers.indexOf(title) === -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\t// Returns empty results if operator.operand is missing\n\t\t\tif(source.byTag) {\n\t\t\t\tindexedResults = source.byTag(operator.operand);\n\t\t\t\tif(indexedResults) {\n\t\t\t\t\treturn indexedResults;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ttiddlers = options.wiki.getTiddlersWithTag(operator.operand);\n\t\t\t\tsource(function(tiddler,title) {\n\t\t\t\t\tif(tiddlers.indexOf(title) !== -1) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tresults = options.wiki.sortByList(results,operator.operand);\n\t\t\t}\n\t\t}\t\t\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/tagging.js": {
            "title": "$:/core/modules/filters/tagging.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/tagging.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that are tagged with the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tagging = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlersWithTag(title));\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/tags.js": {
            "title": "$:/core/modules/filters/tags.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/tags.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the tags of the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,operator,options) {\n\tvar tags = {};\n\tsource(function(tiddler,title) {\n\t\tvar t, length;\n\t\tif(tiddler && tiddler.fields.tags) {\n\t\t\tfor(t=0, length=tiddler.fields.tags.length; t<length; t++) {\n\t\t\t\ttags[tiddler.fields.tags[t]] = true;\n\t\t\t}\n\t\t}\n\t});\n\treturn Object.keys(tags);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/then.js": {
            "title": "$:/core/modules/filters/then.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/then.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing any titles with a constant\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.then = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(operator.operand);\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/title.js": {
            "title": "$:/core/modules/filters/title.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/title.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing title fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.title = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields.title !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults.push(operator.operand);\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/untagged.js": {
            "title": "$:/core/modules/filters/untagged.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/untagged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the selected tiddlers that are untagged\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.untagged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && $tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length > 0) {\n\t\t\t\t$tw.utils.pushTop(results,title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!tiddler || !tiddler.hasField(\"tags\") || ($tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length === 0)) {\n\t\t\t\t$tw.utils.pushTop(results,title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/variables.js": {
            "title": "$:/core/modules/filters/variables.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/variables.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the active variables\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.variables = function(source,operator,options) {\n\tvar names = [];\n\tfor(var variable in options.widget.variables) {\n\t\tnames.push(variable);\n\t}\n\treturn names.sort();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/wikiparserrules.js": {
            "title": "$:/core/modules/filters/wikiparserrules.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/wikiparserrules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the wiki parser rules in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.wikiparserrules = function(source,operator,options) {\n\tvar results = [],\n\t\toperand = operator.operand;\n\t$tw.utils.each($tw.modules.types.wikirule,function(mod) {\n\t\tvar exp = mod.exports;\n\t\tif(!operand || exp.types[operand]) {\n\t\t\tresults.push(exp.name);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/x-listops.js": {
            "title": "$:/core/modules/filters/x-listops.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/x-listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nExtended filter operators to manipulate the current list.\n\n\\*/\n(function () {\n\n    /*jslint node: true, browser: true */\n    /*global $tw: false */\n    \"use strict\";\n\n    /*\n    Fetch titles from the current list\n    */\n    var prepare_results = function (source) {\n    var results = [];\n        source(function (tiddler, title) {\n            results.push(title);\n        });\n        return results;\n    };\n\n    /*\n    Moves a number of items from the tail of the current list before the item named in the operand\n    */\n    exports.putbefore = function (source, operator) {\n        var results = prepare_results(source),\n            index = results.indexOf(operator.operand),\n            count = $tw.utils.getInt(operator.suffix,1);\n        return (index === -1) ?\n            results.slice(0, -1) :\n            results.slice(0, index).concat(results.slice(-count)).concat(results.slice(index, -count));\n    };\n\n    /*\n    Moves a number of items from the tail of the current list after the item named in the operand\n    */\n    exports.putafter = function (source, operator) {\n        var results = prepare_results(source),\n            index = results.indexOf(operator.operand),\n            count = $tw.utils.getInt(operator.suffix,1);\n        return (index === -1) ?\n            results.slice(0, -1) :\n            results.slice(0, index + 1).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n    };\n\n    /*\n    Replaces the item named in the operand with a number of items from the tail of the current list\n    */\n    exports.replace = function (source, operator) {\n        var results = prepare_results(source),\n            index = results.indexOf(operator.operand),\n            count = $tw.utils.getInt(operator.suffix,1);\n        return (index === -1) ?\n            results.slice(0, -count) :\n            results.slice(0, index).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n    };\n\n    /*\n    Moves a number of items from the tail of the current list to the head of the list\n    */\n    exports.putfirst = function (source, operator) {\n        var results = prepare_results(source),\n            count = $tw.utils.getInt(operator.suffix,1);\n        return results.slice(-count).concat(results.slice(0, -count));\n    };\n\n    /*\n    Moves a number of items from the head of the current list to the tail of the list\n    */\n    exports.putlast = function (source, operator) {\n        var results = prepare_results(source),\n            count = $tw.utils.getInt(operator.suffix,1);\n        return results.slice(count).concat(results.slice(0, count));\n    };\n\n    /*\n    Moves the item named in the operand a number of places forward or backward in the list\n    */\n    exports.move = function (source, operator) {\n        var results = prepare_results(source),\n            index = results.indexOf(operator.operand),\n            count = $tw.utils.getInt(operator.suffix,1),\n            marker = results.splice(index, 1),\n            offset =  (index + count) > 0 ? index + count : 0;\n        return results.slice(0, offset).concat(marker).concat(results.slice(offset));\n    };\n\n    /*\n    Returns the items from the current list that are after the item named in the operand\n    */\n    exports.allafter = function (source, operator) {\n        var results = prepare_results(source),\n            index = results.indexOf(operator.operand);\n        return (index === -1) ? [] :\n            (operator.suffix) ? results.slice(index) :\n            results.slice(index + 1);\n    };\n\n    /*\n    Returns the items from the current list that are before the item named in the operand\n    */\n    exports.allbefore = function (source, operator) {\n        var results = prepare_results(source),\n            index = results.indexOf(operator.operand);\n        return (index === -1) ? [] :\n            (operator.suffix) ? results.slice(0, index + 1) :\n            results.slice(0, index);\n    };\n\n    /*\n    Appends the items listed in the operand array to the tail of the current list\n    */\n    exports.append = function (source, operator) {\n        var append = $tw.utils.parseStringArray(operator.operand, \"true\"),\n            results = prepare_results(source),\n            count = parseInt(operator.suffix) || append.length;\n        return (append.length === 0) ? results :\n            (operator.prefix) ? results.concat(append.slice(-count)) :\n            results.concat(append.slice(0, count));\n    };\n\n    /*\n    Prepends the items listed in the operand array to the head of the current list\n    */\n    exports.prepend = function (source, operator) {\n        var prepend = $tw.utils.parseStringArray(operator.operand, \"true\"),\n            results = prepare_results(source),\n            count = $tw.utils.getInt(operator.suffix,prepend.length);\n        return (prepend.length === 0) ? results :\n            (operator.prefix) ? prepend.slice(-count).concat(results) :\n            prepend.slice(0, count).concat(results);\n    };\n\n    /*\n    Returns all items from the current list except the items listed in the operand array\n    */\n    exports.remove = function (source, operator) {\n        var array = $tw.utils.parseStringArray(operator.operand, \"true\"),\n            results = prepare_results(source),\n            count = parseInt(operator.suffix) || array.length,\n            p,\n            len,\n            index;\n        len = array.length - 1;\n        for (p = 0; p < count; ++p) {\n            if (operator.prefix) {\n                index = results.indexOf(array[len - p]);\n            } else {\n                index = results.indexOf(array[p]);\n            }\n            if (index !== -1) {\n                results.splice(index, 1);\n            }\n        }\n        return results;\n    };\n\n    /*\n    Returns all items from the current list sorted in the order of the items in the operand array\n    */\n    exports.sortby = function (source, operator) {\n        var results = prepare_results(source);\n        if (!results || results.length < 2) {\n            return results;\n        }\n        var lookup = $tw.utils.parseStringArray(operator.operand, \"true\");\n        results.sort(function (a, b) {\n            return lookup.indexOf(a) - lookup.indexOf(b);\n        });\n        return results;\n    };\n\n    /*\n    Removes all duplicate items from the current list\n    */\n    exports.unique = function (source, operator) {\n        var results = prepare_results(source);\n        var set = results.reduce(function (a, b) {\n            if (a.indexOf(b) < 0) {\n                a.push(b);\n            }\n            return a;\n        }, []);\n        return set;\n    };\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters.js": {
            "title": "$:/core/modules/filters.js",
            "text": "/*\\\ntitle: $:/core/modules/filters.js\ntype: application/javascript\nmodule-type: wikimethod\n\nAdds tiddler filtering methods to the $tw.Wiki object.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParses an operation (i.e. a run) within a filter string\n\toperators: Array of array of operator nodes into which results should be inserted\n\tfilterString: filter string\n\tp: start position within the string\nReturns the new start position, after the parsed operation\n*/\nfunction parseFilterOperation(operators,filterString,p) {\n\tvar nextBracketPos, operator;\n\t// Skip the starting square bracket\n\tif(filterString.charAt(p++) !== \"[\") {\n\t\tthrow \"Missing [ in filter expression\";\n\t}\n\t// Process each operator in turn\n\tdo {\n\t\toperator = {};\n\t\t// Check for an operator prefix\n\t\tif(filterString.charAt(p) === \"!\") {\n\t\t\toperator.prefix = filterString.charAt(p++);\n\t\t}\n\t\t// Get the operator name\n\t\tnextBracketPos = filterString.substring(p).search(/[\\[\\{<\\/]/);\n\t\tif(nextBracketPos === -1) {\n\t\t\tthrow \"Missing [ in filter expression\";\n\t\t}\n\t\tnextBracketPos += p;\n\t\tvar bracket = filterString.charAt(nextBracketPos);\n\t\toperator.operator = filterString.substring(p,nextBracketPos);\n\t\t// Any suffix?\n\t\tvar colon = operator.operator.indexOf(':');\n\t\tif(colon > -1) {\n\t\t\t// The raw suffix for older filters\n\t\t\toperator.suffix = operator.operator.substring(colon + 1);\n\t\t\toperator.operator = operator.operator.substring(0,colon) || \"field\";\n\t\t\t// The processed suffix for newer filters\n\t\t\toperator.suffixes = [];\n\t\t\t$tw.utils.each(operator.suffix.split(\":\"),function(subsuffix) {\n\t\t\t\toperator.suffixes.push([]);\n\t\t\t\t$tw.utils.each(subsuffix.split(\",\"),function(entry) {\n\t\t\t\t\tentry = $tw.utils.trim(entry);\n\t\t\t\t\tif(entry) {\n\t\t\t\t\t\toperator.suffixes[operator.suffixes.length - 1].push(entry); \n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t});\n\t\t}\n\t\t// Empty operator means: title\n\t\telse if(operator.operator === \"\") {\n\t\t\toperator.operator = \"title\";\n\t\t}\n\n\t\tp = nextBracketPos + 1;\n\t\tswitch (bracket) {\n\t\t\tcase \"{\": // Curly brackets\n\t\t\t\toperator.indirect = true;\n\t\t\t\tnextBracketPos = filterString.indexOf(\"}\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"[\": // Square brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\"]\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"<\": // Angle brackets\n\t\t\t\toperator.variable = true;\n\t\t\t\tnextBracketPos = filterString.indexOf(\">\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"/\": // regexp brackets\n\t\t\t\tvar rex = /^((?:[^\\\\\\/]*|\\\\.)*)\\/(?:\\(([mygi]+)\\))?/g,\n\t\t\t\t\trexMatch = rex.exec(filterString.substring(p));\n\t\t\t\tif(rexMatch) {\n\t\t\t\t\toperator.regexp = new RegExp(rexMatch[1], rexMatch[2]);\n// DEPRECATION WARNING\nconsole.log(\"WARNING: Filter\",operator.operator,\"has a deprecated regexp operand\",operator.regexp);\n\t\t\t\t\tnextBracketPos = p + rex.lastIndex - 1;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tthrow \"Unterminated regular expression in filter expression\";\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\n\t\tif(nextBracketPos === -1) {\n\t\t\tthrow \"Missing closing bracket in filter expression\";\n\t\t}\n\t\tif(!operator.regexp) {\n\t\t\toperator.operand = filterString.substring(p,nextBracketPos);\n\t\t}\n\t\tp = nextBracketPos + 1;\n\n\t\t// Push this operator\n\t\toperators.push(operator);\n\t} while(filterString.charAt(p) !== \"]\");\n\t// Skip the ending square bracket\n\tif(filterString.charAt(p++) !== \"]\") {\n\t\tthrow \"Missing ] in filter expression\";\n\t}\n\t// Return the parsing position\n\treturn p;\n}\n\n/*\nParse a filter string\n*/\nexports.parseFilter = function(filterString) {\n\tfilterString = filterString || \"\";\n\tvar results = [], // Array of arrays of operator nodes {operator:,operand:}\n\t\tp = 0, // Current position in the filter string\n\t\tmatch;\n\tvar whitespaceRegExp = /(\\s+)/mg,\n\t\toperandRegExp = /((?:\\+|\\-|~|=)?)(?:(\\[)|(?:\"([^\"]*)\")|(?:'([^']*)')|([^\\s\\[\\]]+))/mg;\n\twhile(p < filterString.length) {\n\t\t// Skip any whitespace\n\t\twhitespaceRegExp.lastIndex = p;\n\t\tmatch = whitespaceRegExp.exec(filterString);\n\t\tif(match && match.index === p) {\n\t\t\tp = p + match[0].length;\n\t\t}\n\t\t// Match the start of the operation\n\t\tif(p < filterString.length) {\n\t\t\toperandRegExp.lastIndex = p;\n\t\t\tmatch = operandRegExp.exec(filterString);\n\t\t\tif(!match || match.index !== p) {\n\t\t\t\tthrow $tw.language.getString(\"Error/FilterSyntax\");\n\t\t\t}\n\t\t\tvar operation = {\n\t\t\t\tprefix: \"\",\n\t\t\t\toperators: []\n\t\t\t};\n\t\t\tif(match[1]) {\n\t\t\t\toperation.prefix = match[1];\n\t\t\t\tp++;\n\t\t\t}\n\t\t\tif(match[2]) { // Opening square bracket\n\t\t\t\tp = parseFilterOperation(operation.operators,filterString,p);\n\t\t\t} else {\n\t\t\t\tp = match.index + match[0].length;\n\t\t\t}\n\t\t\tif(match[3] || match[4] || match[5]) { // Double quoted string, single quoted string or unquoted title\n\t\t\t\toperation.operators.push(\n\t\t\t\t\t{operator: \"title\", operand: match[3] || match[4] || match[5]}\n\t\t\t\t);\n\t\t\t}\n\t\t\tresults.push(operation);\n\t\t}\n\t}\n\treturn results;\n};\n\nexports.getFilterOperators = function() {\n\tif(!this.filterOperators) {\n\t\t$tw.Wiki.prototype.filterOperators = {};\n\t\t$tw.modules.applyMethods(\"filteroperator\",this.filterOperators);\n\t}\n\treturn this.filterOperators;\n};\n\nexports.filterTiddlers = function(filterString,widget,source) {\n\tvar fn = this.compileFilter(filterString);\n\treturn fn.call(this,source,widget);\n};\n\n/*\nCompile a filter into a function with the signature fn(source,widget) where:\nsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\nwidget: an optional widget node for retrieving the current tiddler etc.\n*/\nexports.compileFilter = function(filterString) {\n\tvar filterParseTree;\n\ttry {\n\t\tfilterParseTree = this.parseFilter(filterString);\n\t} catch(e) {\n\t\treturn function(source,widget) {\n\t\t\treturn [$tw.language.getString(\"Error/Filter\") + \": \" + e];\n\t\t};\n\t}\n\t// Get the hashmap of filter operator functions\n\tvar filterOperators = this.getFilterOperators();\n\t// Assemble array of functions, one for each operation\n\tvar operationFunctions = [];\n\t// Step through the operations\n\tvar self = this;\n\t$tw.utils.each(filterParseTree,function(operation) {\n\t\t// Create a function for the chain of operators in the operation\n\t\tvar operationSubFunction = function(source,widget) {\n\t\t\tvar accumulator = source,\n\t\t\t\tresults = [],\n\t\t\t\tcurrTiddlerTitle = widget && widget.getVariable(\"currentTiddler\");\n\t\t\t$tw.utils.each(operation.operators,function(operator) {\n\t\t\t\tvar operand = operator.operand,\n\t\t\t\t\toperatorFunction;\n\t\t\t\tif(!operator.operator) {\n\t\t\t\t\toperatorFunction = filterOperators.title;\n\t\t\t\t} else if(!filterOperators[operator.operator]) {\n\t\t\t\t\toperatorFunction = filterOperators.field;\n\t\t\t\t} else {\n\t\t\t\t\toperatorFunction = filterOperators[operator.operator];\n\t\t\t\t}\n\t\t\t\tif(operator.indirect) {\n\t\t\t\t\toperand = self.getTextReference(operator.operand,\"\",currTiddlerTitle);\n\t\t\t\t}\n\t\t\t\tif(operator.variable) {\n\t\t\t\t\toperand = widget.getVariable(operator.operand,{defaultValue: \"\"});\n\t\t\t\t}\n\t\t\t\t// Invoke the appropriate filteroperator module\n\t\t\t\tresults = operatorFunction(accumulator,{\n\t\t\t\t\t\t\toperator: operator.operator,\n\t\t\t\t\t\t\toperand: operand,\n\t\t\t\t\t\t\tprefix: operator.prefix,\n\t\t\t\t\t\t\tsuffix: operator.suffix,\n\t\t\t\t\t\t\tsuffixes: operator.suffixes,\n\t\t\t\t\t\t\tregexp: operator.regexp\n\t\t\t\t\t\t},{\n\t\t\t\t\t\t\twiki: self,\n\t\t\t\t\t\t\twidget: widget\n\t\t\t\t\t\t});\n\t\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\t\taccumulator = self.makeTiddlerIterator(results);\n\t\t\t\t} else {\n\t\t\t\t\taccumulator = results;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\treturn results;\n\t\t\t} else {\n\t\t\t\tvar resultArray = [];\n\t\t\t\tresults(function(tiddler,title) {\n\t\t\t\t\tresultArray.push(title);\n\t\t\t\t});\n\t\t\t\treturn resultArray;\n\t\t\t}\n\t\t};\n\t\t// Wrap the operator functions in a wrapper function that depends on the prefix\n\t\toperationFunctions.push((function() {\n\t\t\tswitch(operation.prefix || \"\") {\n\t\t\t\tcase \"\": // No prefix means that the operation is unioned into the result\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t$tw.utils.pushTop(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"=\": // The results of the operation are pushed into the result without deduplication\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\tArray.prototype.push.apply(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"-\": // The results of this operation are removed from the main result\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t$tw.utils.removeArrayEntries(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"+\": // This operation is applied to the main results so far\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t// This replaces all the elements of the array, but keeps the actual array so that references to it are preserved\n\t\t\t\t\t\tsource = self.makeTiddlerIterator(results);\n\t\t\t\t\t\tresults.splice(0,results.length);\n\t\t\t\t\t\t$tw.utils.pushTop(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"~\": // This operation is unioned into the result only if the main result so far is empty\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\tif(results.length === 0) {\n\t\t\t\t\t\t\t// Main result so far is empty\n\t\t\t\t\t\t\t$tw.utils.pushTop(results,operationSubFunction(source,widget));\n\t\t\t\t\t\t}\n\t\t\t\t\t};\n\t\t\t}\n\t\t})());\n\t});\n\t// Return a function that applies the operations to a source iterator of tiddler titles\n\treturn $tw.perf.measure(\"filter: \" + filterString,function filterFunction(source,widget) {\n\t\tif(!source) {\n\t\t\tsource = self.each;\n\t\t} else if(typeof source === \"object\") { // Array or hashmap\n\t\t\tsource = self.makeTiddlerIterator(source);\n\t\t}\n\t\tvar results = [];\n\t\t$tw.utils.each(operationFunctions,function(operationFunction) {\n\t\t\toperationFunction(results,source,widget);\n\t\t});\n\t\treturn results;\n\t});\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikimethod"
        },
        "$:/core/modules/indexers/backlinks-indexer.js": {
            "title": "$:/core/modules/indexers/backlinks-indexer.js",
            "text": "/*\\\ntitle: $:/core/modules/indexers/backlinks-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers' backlinks\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\n\nfunction BacklinksIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nBacklinksIndexer.prototype.init = function() {\n\tthis.index = null;\n}\n\nBacklinksIndexer.prototype.rebuild = function() {\n\tthis.index = null;\n}\n\nBacklinksIndexer.prototype._getLinks = function(tiddler) {\n\tvar parser =  this.wiki.parseText(tiddler.fields.type, tiddler.fields.text, {});\n\tif(parser) {\n\t\treturn this.wiki.extractLinks(parser.tree);\n\t}\n\treturn [];\n}\n\nBacklinksIndexer.prototype.update = function(updateDescriptor) {\n\tif(!this.index) {\n\t\treturn;\n\t}\n\tvar newLinks = [],\n\t    oldLinks = [],\n\t    self = this;\n\tif(updateDescriptor.old.exists) {\n\t\toldLinks = this._getLinks(updateDescriptor.old.tiddler);\n\t}\n\tif(updateDescriptor.new.exists) {\n\t\tnewLinks = this._getLinks(updateDescriptor.new.tiddler);\n\t}\n\n\t$tw.utils.each(oldLinks,function(link) {\n\t\tif(self.index[link]) {\n\t\t\tdelete self.index[link][updateDescriptor.old.tiddler.fields.title];\n\t\t}\n\t});\n\t$tw.utils.each(newLinks,function(link) {\n\t\tif(!self.index[link]) {\n\t\t\tself.index[link] = Object.create(null);\n\t\t}\n\t\tself.index[link][updateDescriptor.new.tiddler.fields.title] = true;\n\t});\n}\n\nBacklinksIndexer.prototype.lookup = function(title) {\n\tif(!this.index) {\n\t\tthis.index = Object.create(null);\n\t\tvar self = this;\n\t\tthis.wiki.forEachTiddler(function(title,tiddler) {\n\t\t\tvar links = self._getLinks(tiddler);\n\t\t\t$tw.utils.each(links, function(link) {\n\t\t\t\tif(!self.index[link]) {\n\t\t\t\t\tself.index[link] = Object.create(null);\n\t\t\t\t}\n\t\t\t\tself.index[link][title] = true;\n\t\t\t});\n\t\t});\n\t}\n\tif(this.index[title]) {\n\t\treturn Object.keys(this.index[title]);\n\t} else {\n\t\treturn [];\n\t}\n}\n\nexports.BacklinksIndexer = BacklinksIndexer;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "indexer"
        },
        "$:/core/modules/indexers/field-indexer.js": {
            "title": "$:/core/modules/indexers/field-indexer.js",
            "text": "/*\\\ntitle: $:/core/modules/indexers/field-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers with each field value\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\nvar DEFAULT_MAXIMUM_INDEXED_VALUE_LENGTH = 128;\n\nfunction FieldIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nFieldIndexer.prototype.init = function() {\n\tthis.index = null;\n\tthis.maxIndexedValueLength = DEFAULT_MAXIMUM_INDEXED_VALUE_LENGTH;\n\tthis.addIndexMethods();\n}\n\n// Provided for testing\nFieldIndexer.prototype.setMaxIndexedValueLength = function(length) {\n\tthis.index = null;\n\tthis.maxIndexedValueLength = length;\n};\n\nFieldIndexer.prototype.addIndexMethods = function() {\n\tvar self = this;\n\tthis.wiki.each.byField = function(name,value) {\n\t\tvar titles = self.wiki.allTitles(),\n\t\t\tlookup = self.lookup(name,value);\n\t\treturn lookup && lookup.filter(function(title) {\n\t\t\treturn titles.indexOf(title) !== -1;\n\t\t});\n\t};\n\tthis.wiki.eachShadow.byField = function(name,value) {\n\t\tvar titles = self.wiki.allShadowTitles(),\n\t\t\tlookup = self.lookup(name,value);\n\t\treturn lookup && lookup.filter(function(title) {\n\t\t\treturn titles.indexOf(title) !== -1;\n\t\t});\n\t};\n\tthis.wiki.eachTiddlerPlusShadows.byField = function(name,value) {\n\t\tvar lookup = self.lookup(name,value);\n\t\treturn lookup ? lookup.slice(0) : null;\n\t};\n\tthis.wiki.eachShadowPlusTiddlers.byField = function(name,value) {\n\t\tvar lookup = self.lookup(name,value);\n\t\treturn lookup ? lookup.slice(0) : null;\n\t};\n};\n\n/*\nTear down and then rebuild the index as if all tiddlers have changed\n*/\nFieldIndexer.prototype.rebuild = function() {\n\t// Invalidate the index so that it will be rebuilt when it is next used\n\tthis.index = null;\n};\n\n/*\nBuild the index for a particular field\n*/\nFieldIndexer.prototype.buildIndexForField = function(name) {\n\tvar self = this;\n\t// Hashmap by field name of hashmap by field value of array of tiddler titles\n\tthis.index = this.index || Object.create(null);\n\tthis.index[name] = Object.create(null);\n\tvar baseIndex = this.index[name];\n\t// Update the index for each tiddler\n\tthis.wiki.eachTiddlerPlusShadows(function(tiddler,title) {\n\t\tif(name in tiddler.fields) {\n\t\t\tvar value = tiddler.getFieldString(name);\n\t\t\t// Skip any values above the maximum length\n\t\t\tif(value.length < self.maxIndexedValueLength) {\n\t\t\t\tbaseIndex[value] = baseIndex[value] || [];\n\t\t\t\tbaseIndex[value].push(title);\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nUpdate the index in the light of a tiddler value changing; note that the title must be identical. (Renames are handled as a separate delete and create)\nupdateDescriptor: {old: {tiddler: <tiddler>, shadow: <boolean>, exists: <boolean>},new: {tiddler: <tiddler>, shadow: <boolean>, exists: <boolean>}}\n*/\nFieldIndexer.prototype.update = function(updateDescriptor) {\n\tvar self = this;\n\t// Don't do anything if the index hasn't been built yet\n\tif(this.index === null) {\n\t\treturn;\n\t}\n\t// Remove the old tiddler from the index\n\tif(updateDescriptor.old.tiddler) {\n\t\t$tw.utils.each(this.index,function(indexEntry,name) {\n\t\t\tif(name in updateDescriptor.old.tiddler.fields) {\n\t\t\t\tvar value = updateDescriptor.old.tiddler.getFieldString(name),\n\t\t\t\t\ttiddlerList = indexEntry[value];\n\t\t\t\tif(tiddlerList) {\n\t\t\t\t\tvar index = tiddlerList.indexOf(updateDescriptor.old.tiddler.fields.title);\n\t\t\t\t\tif(index !== -1) {\n\t\t\t\t\t\ttiddlerList.splice(index,1);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\t// Add the new tiddler to the index\n\tif(updateDescriptor[\"new\"].tiddler) {\n\t\t$tw.utils.each(this.index,function(indexEntry,name) {\n\t\t\tif(name in updateDescriptor[\"new\"].tiddler.fields) {\n\t\t\t\tvar value = updateDescriptor[\"new\"].tiddler.getFieldString(name);\n\t\t\t\tif(value.length < self.maxIndexedValueLength) {\n\t\t\t\t\tindexEntry[value] = indexEntry[value] || [];\n\t\t\t\t\tindexEntry[value].push(updateDescriptor[\"new\"].tiddler.fields.title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\t\t\n\t}\n};\n\n// Lookup the given field returning a list of tiddler titles\nFieldIndexer.prototype.lookup = function(name,value) {\n\t// Fail the lookup if the value is too long\n\tif(value.length >= this.maxIndexedValueLength) {\n\t\treturn null;\n\t}\n\t// Update the index if it has yet to be built\n\tif(this.index === null || !this.index[name]) {\n\t\tthis.buildIndexForField(name);\n\t}\n\treturn this.index[name][value] || [];\n};\n\nexports.FieldIndexer = FieldIndexer;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "indexer"
        },
        "$:/core/modules/indexers/tag-indexer.js": {
            "title": "$:/core/modules/indexers/tag-indexer.js",
            "text": "/*\\\ntitle: $:/core/modules/indexers/tag-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers with each tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\nfunction TagIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nTagIndexer.prototype.init = function() {\n\tthis.subIndexers = [\n\t\tnew TagSubIndexer(this,\"each\"),\n\t\tnew TagSubIndexer(this,\"eachShadow\"),\n\t\tnew TagSubIndexer(this,\"eachTiddlerPlusShadows\"),\n\t\tnew TagSubIndexer(this,\"eachShadowPlusTiddlers\")\n\t];\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.addIndexMethod();\n\t});\n};\n\nTagIndexer.prototype.rebuild = function() {\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.rebuild();\n\t});\n};\n\nTagIndexer.prototype.update = function(updateDescriptor) {\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.update(updateDescriptor);\n\t});\n};\n\nfunction TagSubIndexer(indexer,iteratorMethod) {\n\tthis.indexer = indexer;\n\tthis.iteratorMethod = iteratorMethod;\n\tthis.index = null; // Hashmap of tag title to {isSorted: bool, titles: [array]} or null if not yet initialised\n}\n\nTagSubIndexer.prototype.addIndexMethod = function() {\n\tvar self = this;\n\tthis.indexer.wiki[this.iteratorMethod].byTag = function(tag) {\n\t\treturn self.lookup(tag).slice(0);\n\t};\n};\n\nTagSubIndexer.prototype.rebuild = function() {\n\tvar self = this;\n\t// Hashmap by tag of array of {isSorted:, titles:[]}\n\tthis.index = Object.create(null);\n\t// Add all the tags\n\tthis.indexer.wiki[this.iteratorMethod](function(tiddler,title) {\n\t\t$tw.utils.each(tiddler.fields.tags,function(tag) {\n\t\t\tif(!self.index[tag]) {\n\t\t\t\tself.index[tag] = {isSorted: false, titles: [title]};\n\t\t\t} else {\n\t\t\t\tself.index[tag].titles.push(title);\n\t\t\t}\n\t\t});\t\t\n\t});\n};\n\nTagSubIndexer.prototype.update = function(updateDescriptor) {\n\tthis.index = null;\n};\n\nTagSubIndexer.prototype.lookup = function(tag) {\n\t// Update the index if it has yet to be built\n\tif(this.index === null) {\n\t\tthis.rebuild();\n\t}\n\tvar indexRecord = this.index[tag];\n\tif(indexRecord) {\n\t\tif(!indexRecord.isSorted) {\n\t\t\tif(this.indexer.wiki.sortByList) {\n\t\t\t\tindexRecord.titles = this.indexer.wiki.sortByList(indexRecord.titles,tag);\n\t\t\t}\t\t\t\n\t\t\tindexRecord.isSorted = true;\n\t\t}\n\t\treturn indexRecord.titles;\n\t} else {\n\t\treturn [];\n\t}\n};\n\n\nexports.TagIndexer = TagIndexer;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "indexer"
        },
        "$:/core/modules/info/platform.js": {
            "title": "$:/core/modules/info/platform.js",
            "text": "/*\\\ntitle: $:/core/modules/info/platform.js\ntype: application/javascript\nmodule-type: info\n\nInitialise basic platform $:/info/ tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.getInfoTiddlerFields = function() {\n\tvar mapBoolean = function(value) {return value ? \"yes\" : \"no\";},\n\t\tinfoTiddlerFields = [];\n\t// Basics\n\tinfoTiddlerFields.push({title: \"$:/info/browser\", text: mapBoolean(!!$tw.browser)});\n\tinfoTiddlerFields.push({title: \"$:/info/node\", text: mapBoolean(!!$tw.node)});\n\tif($tw.browser) {\n\t\t// Document location\n\t\tvar setLocationProperty = function(name,value) {\n\t\t\t\tinfoTiddlerFields.push({title: \"$:/info/url/\" + name, text: value});\t\t\t\n\t\t\t},\n\t\t\tlocation = document.location;\n\t\tsetLocationProperty(\"full\", (location.toString()).split(\"#\")[0]);\n\t\tsetLocationProperty(\"host\", location.host);\n\t\tsetLocationProperty(\"hostname\", location.hostname);\n\t\tsetLocationProperty(\"protocol\", location.protocol);\n\t\tsetLocationProperty(\"port\", location.port);\n\t\tsetLocationProperty(\"pathname\", location.pathname);\n\t\tsetLocationProperty(\"search\", location.search);\n\t\tsetLocationProperty(\"origin\", location.origin);\n\t\t// Screen size\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/screen/width\", text: window.screen.width.toString()});\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/screen/height\", text: window.screen.height.toString()});\n\t\t// Language\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/language\", text: navigator.language || \"\"});\n\t}\n\treturn infoTiddlerFields;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "info"
        },
        "$:/core/modules/keyboard.js": {
            "title": "$:/core/modules/keyboard.js",
            "text": "/*\\\ntitle: $:/core/modules/keyboard.js\ntype: application/javascript\nmodule-type: global\n\nKeyboard handling utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar namedKeys = {\n\t\"cancel\": 3,\n\t\"help\": 6,\n\t\"backspace\": 8,\n\t\"tab\": 9,\n\t\"clear\": 12,\n\t\"return\": 13,\n\t\"enter\": 13,\n\t\"pause\": 19,\n\t\"escape\": 27,\n\t\"space\": 32,\n\t\"page_up\": 33,\n\t\"page_down\": 34,\n\t\"end\": 35,\n\t\"home\": 36,\n\t\"left\": 37,\n\t\"up\": 38,\n\t\"right\": 39,\n\t\"down\": 40,\n\t\"printscreen\": 44,\n\t\"insert\": 45,\n\t\"delete\": 46,\n\t\"0\": 48,\n\t\"1\": 49,\n\t\"2\": 50,\n\t\"3\": 51,\n\t\"4\": 52,\n\t\"5\": 53,\n\t\"6\": 54,\n\t\"7\": 55,\n\t\"8\": 56,\n\t\"9\": 57,\n\t\"firefoxsemicolon\": 59,\n\t\"firefoxequals\": 61,\n\t\"a\": 65,\n\t\"b\": 66,\n\t\"c\": 67,\n\t\"d\": 68,\n\t\"e\": 69,\n\t\"f\": 70,\n\t\"g\": 71,\n\t\"h\": 72,\n\t\"i\": 73,\n\t\"j\": 74,\n\t\"k\": 75,\n\t\"l\": 76,\n\t\"m\": 77,\n\t\"n\": 78,\n\t\"o\": 79,\n\t\"p\": 80,\n\t\"q\": 81,\n\t\"r\": 82,\n\t\"s\": 83,\n\t\"t\": 84,\n\t\"u\": 85,\n\t\"v\": 86,\n\t\"w\": 87,\n\t\"x\": 88,\n\t\"y\": 89,\n\t\"z\": 90,\n\t\"numpad0\": 96,\n\t\"numpad1\": 97,\n\t\"numpad2\": 98,\n\t\"numpad3\": 99,\n\t\"numpad4\": 100,\n\t\"numpad5\": 101,\n\t\"numpad6\": 102,\n\t\"numpad7\": 103,\n\t\"numpad8\": 104,\n\t\"numpad9\": 105,\n\t\"multiply\": 106,\n\t\"add\": 107,\n\t\"separator\": 108,\n\t\"subtract\": 109,\n\t\"decimal\": 110,\n\t\"divide\": 111,\n\t\"f1\": 112,\n\t\"f2\": 113,\n\t\"f3\": 114,\n\t\"f4\": 115,\n\t\"f5\": 116,\n\t\"f6\": 117,\n\t\"f7\": 118,\n\t\"f8\": 119,\n\t\"f9\": 120,\n\t\"f10\": 121,\n\t\"f11\": 122,\n\t\"f12\": 123,\n\t\"f13\": 124,\n\t\"f14\": 125,\n\t\"f15\": 126,\n\t\"f16\": 127,\n\t\"f17\": 128,\n\t\"f18\": 129,\n\t\"f19\": 130,\n\t\"f20\": 131,\n\t\"f21\": 132,\n\t\"f22\": 133,\n\t\"f23\": 134,\n\t\"f24\": 135,\n\t\"firefoxminus\": 173,\n\t\"semicolon\": 186,\n\t\"equals\": 187,\n\t\"comma\": 188,\n\t\"dash\": 189,\n\t\"period\": 190,\n\t\"slash\": 191,\n\t\"backquote\": 192,\n\t\"openbracket\": 219,\n\t\"backslash\": 220,\n\t\"closebracket\": 221,\n\t\"quote\": 222\n};\n\nfunction KeyboardManager(options) {\n\tvar self = this;\n\toptions = options || \"\";\n\t// Save the named key hashmap\n\tthis.namedKeys = namedKeys;\n\t// Create a reverse mapping of code to keyname\n\tthis.keyNames = [];\n\t$tw.utils.each(namedKeys,function(keyCode,name) {\n\t\tself.keyNames[keyCode] = name.substr(0,1).toUpperCase() + name.substr(1);\n\t});\n\t// Save the platform-specific name of the \"meta\" key\n\tthis.metaKeyName = $tw.platform.isMac ? \"cmd-\" : \"win-\";\n\tthis.shortcutKeysList = [], // Stores the shortcut-key descriptors\n\tthis.shortcutActionList = [], // Stores the corresponding action strings\n\tthis.shortcutParsedList = []; // Stores the parsed key descriptors\n\tthis.lookupNames = [\"shortcuts\"];\n\tthis.lookupNames.push($tw.platform.isMac ? \"shortcuts-mac\" : \"shortcuts-not-mac\")\n\tthis.lookupNames.push($tw.platform.isWindows ? \"shortcuts-windows\" : \"shortcuts-not-windows\");\n\tthis.lookupNames.push($tw.platform.isLinux ? \"shortcuts-linux\" : \"shortcuts-not-linux\");\n\tthis.updateShortcutLists(this.getShortcutTiddlerList());\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tself.handleShortcutChanges(changes);\n\t});\n}\n\n/*\nReturn an array of keycodes for the modifier keys ctrl, shift, alt, meta\n*/\nKeyboardManager.prototype.getModifierKeys = function() {\n\treturn [\n\t\t16, // Shift\n\t\t17, // Ctrl\n\t\t18, // Alt\n\t\t20, // CAPS LOCK\n\t\t91, // Meta (left)\n\t\t93, // Meta (right)\n\t\t224 // Meta (Firefox)\n\t]\n};\n\n/*\nParses a key descriptor into the structure:\n{\n\tkeyCode: numeric keycode\n\tshiftKey: boolean\n\taltKey: boolean\n\tctrlKey: boolean\n\tmetaKey: boolean\n}\nKey descriptors have the following format:\n\tctrl+enter\n\tctrl+shift+alt+A\n*/\nKeyboardManager.prototype.parseKeyDescriptor = function(keyDescriptor) {\n\tvar components = keyDescriptor.split(/\\+|\\-/),\n\t\tinfo = {\n\t\t\tkeyCode: 0,\n\t\t\tshiftKey: false,\n\t\t\taltKey: false,\n\t\t\tctrlKey: false,\n\t\t\tmetaKey: false\n\t\t};\n\tfor(var t=0; t<components.length; t++) {\n\t\tvar s = components[t].toLowerCase(),\n\t\t\tc = s.charCodeAt(0);\n\t\t// Look for modifier keys\n\t\tif(s === \"ctrl\") {\n\t\t\tinfo.ctrlKey = true;\n\t\t} else if(s === \"shift\") {\n\t\t\tinfo.shiftKey = true;\n\t\t} else if(s === \"alt\") {\n\t\t\tinfo.altKey = true;\n\t\t} else if(s === \"meta\" || s === \"cmd\" || s === \"win\") {\n\t\t\tinfo.metaKey = true;\n\t\t}\n\t\t// Replace named keys with their code\n\t\tif(this.namedKeys[s]) {\n\t\t\tinfo.keyCode = this.namedKeys[s];\n\t\t}\n\t}\n\tif(info.keyCode) {\n\t\treturn info;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nParse a list of key descriptors into an array of keyInfo objects. The key descriptors can be passed as an array of strings or a space separated string\n*/\nKeyboardManager.prototype.parseKeyDescriptors = function(keyDescriptors,options) {\n\tvar self = this;\n\toptions = options || {};\n\toptions.stack = options.stack || [];\n\tvar wiki = options.wiki || $tw.wiki;\n\tif(typeof keyDescriptors === \"string\" && keyDescriptors === \"\") {\n\t\treturn [];\n\t}\n\tif(!$tw.utils.isArray(keyDescriptors)) {\n\t\tkeyDescriptors = keyDescriptors.split(\" \");\n\t}\n\tvar result = [];\n\t$tw.utils.each(keyDescriptors,function(keyDescriptor) {\n\t\t// Look for a named shortcut\n\t\tif(keyDescriptor.substr(0,2) === \"((\" && keyDescriptor.substr(-2,2) === \"))\") {\n\t\t\tif(options.stack.indexOf(keyDescriptor) === -1) {\n\t\t\t\toptions.stack.push(keyDescriptor);\n\t\t\t\tvar name = keyDescriptor.substring(2,keyDescriptor.length - 2),\n\t\t\t\t\tlookupName = function(configName) {\n\t\t\t\t\t\tvar keyDescriptors = wiki.getTiddlerText(\"$:/config/\" + configName + \"/\" + name);\n\t\t\t\t\t\tif(keyDescriptors) {\n\t\t\t\t\t\t\tresult.push.apply(result,self.parseKeyDescriptors(keyDescriptors,options));\n\t\t\t\t\t\t}\n\t\t\t\t\t};\n\t\t\t\t$tw.utils.each(self.lookupNames,function(platformDescriptor) {\n\t\t\t\t\tlookupName(platformDescriptor);\n\t\t\t\t});\n\t\t\t}\n\t\t} else {\n\t\t\tresult.push(self.parseKeyDescriptor(keyDescriptor));\n\t\t}\n\t});\n\treturn result;\n};\n\nKeyboardManager.prototype.getPrintableShortcuts = function(keyInfoArray) {\n\tvar self = this,\n\t\tresult = [];\n\t$tw.utils.each(keyInfoArray,function(keyInfo) {\n\t\tif(keyInfo) {\n\t\t\tresult.push((keyInfo.ctrlKey ? \"ctrl-\" : \"\") + \n\t\t\t\t   (keyInfo.shiftKey ? \"shift-\" : \"\") + \n\t\t\t\t   (keyInfo.altKey ? \"alt-\" : \"\") + \n\t\t\t\t   (keyInfo.metaKey ? self.metaKeyName : \"\") + \n\t\t\t\t   (self.keyNames[keyInfo.keyCode]));\n\t\t}\n\t});\n\treturn result;\n}\n\nKeyboardManager.prototype.checkKeyDescriptor = function(event,keyInfo) {\n\treturn keyInfo &&\n\t\t\tevent.keyCode === keyInfo.keyCode && \n\t\t\tevent.shiftKey === keyInfo.shiftKey && \n\t\t\tevent.altKey === keyInfo.altKey && \n\t\t\tevent.ctrlKey === keyInfo.ctrlKey && \n\t\t\tevent.metaKey === keyInfo.metaKey;\n};\n\nKeyboardManager.prototype.checkKeyDescriptors = function(event,keyInfoArray) {\n\tfor(var t=0; t<keyInfoArray.length; t++) {\n\t\tif(this.checkKeyDescriptor(event,keyInfoArray[t])) {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\nKeyboardManager.prototype.getShortcutTiddlerList = function() {\n\treturn $tw.wiki.getTiddlersWithTag(\"$:/tags/KeyboardShortcut\");\n};\n\nKeyboardManager.prototype.updateShortcutLists = function(tiddlerList) {\n\tthis.shortcutTiddlers = tiddlerList;\n\tfor(var i=0; i<tiddlerList.length; i++) {\n\t\tvar title = tiddlerList[i],\n\t\t\ttiddlerFields = $tw.wiki.getTiddler(title).fields;\n\t\tthis.shortcutKeysList[i] = tiddlerFields.key !== undefined ? tiddlerFields.key : undefined;\n\t\tthis.shortcutActionList[i] = tiddlerFields.text;\n\t\tthis.shortcutParsedList[i] = this.shortcutKeysList[i] !== undefined ? this.parseKeyDescriptors(this.shortcutKeysList[i]) : undefined;\n\t}\n};\n\nKeyboardManager.prototype.handleKeydownEvent = function(event) {\n\tvar key, action;\n\tfor(var i=0; i<this.shortcutTiddlers.length; i++) {\n\t\tif(this.shortcutParsedList[i] !== undefined && this.checkKeyDescriptors(event,this.shortcutParsedList[i])) {\n\t\t\tkey = this.shortcutParsedList[i];\n\t\t\taction = this.shortcutActionList[i];\n\t\t}\n\t}\n\tif(key !== undefined) {\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\t$tw.rootWidget.invokeActionString(action,$tw.rootWidget);\n\t\treturn true;\n\t}\n\treturn false;\n};\n\nKeyboardManager.prototype.detectNewShortcuts = function(changedTiddlers) {\n\tvar shortcutConfigTiddlers = [],\n\t\thandled = false;\n\t$tw.utils.each(this.lookupNames,function(platformDescriptor) {\n\t\tvar descriptorString = \"$:/config/\" + platformDescriptor + \"/\";\n\t\tObject.keys(changedTiddlers).forEach(function(configTiddler) {\n\t\t\tvar configString = configTiddler.substr(0, configTiddler.lastIndexOf(\"/\") + 1);\n\t\t\tif(configString === descriptorString) {\n\t\t\t\tshortcutConfigTiddlers.push(configTiddler);\n\t\t\t\thandled = true;\n\t\t\t}\n\t\t});\n\t});\n\tif(handled) {\n\t\treturn $tw.utils.hopArray(changedTiddlers,shortcutConfigTiddlers);\n\t} else {\n\t\treturn false;\n\t}\n};\n\nKeyboardManager.prototype.handleShortcutChanges = function(changedTiddlers) {\n\tvar newList = this.getShortcutTiddlerList();\n\tvar hasChanged = $tw.utils.hopArray(changedTiddlers,this.shortcutTiddlers) ? true :\n\t\t($tw.utils.hopArray(changedTiddlers,newList) ? true :\n\t\t(this.detectNewShortcuts(changedTiddlers))\n\t);\n\t// Re-cache shortcuts if something changed\n\tif(hasChanged) {\n\t\tthis.updateShortcutLists(newList);\n\t}\n};\n\nexports.KeyboardManager = KeyboardManager;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/language.js": {
            "title": "$:/core/modules/language.js",
            "text": "/*\\\ntitle: $:/core/modules/language.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Language() manages translateable strings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate an instance of the language manager. Options include:\nwiki: wiki from which to retrieve translation tiddlers\n*/\nfunction Language(options) {\n\toptions = options || \"\";\n\tthis.wiki = options.wiki || $tw.wiki;\n}\n\n/*\nReturn a wikified translateable string. The title is automatically prefixed with \"$:/language/\"\nOptions include:\nvariables: optional hashmap of variables to supply to the language wikification\n*/\nLanguage.prototype.getString = function(title,options) {\n\toptions = options || {};\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.renderTiddler(\"text/plain\",title,{variables: options.variables});\n};\n\n/*\nReturn a raw, unwikified translateable string. The title is automatically prefixed with \"$:/language/\"\n*/\nLanguage.prototype.getRawString = function(title) {\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.getTiddlerText(title);\n};\n\nexports.Language = Language;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/macros/changecount.js": {
            "title": "$:/core/modules/macros/changecount.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/changecount.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the changecount for the current tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"changecount\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn this.wiki.getChangeCount(this.getVariable(\"currentTiddler\")) + \"\";\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/contrastcolour.js": {
            "title": "$:/core/modules/macros/contrastcolour.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/contrastcolour.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to choose which of two colours has the highest contrast with a base colour\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"contrastcolour\";\n\nexports.params = [\n\t{name: \"target\"},\n\t{name: \"fallbackTarget\"},\n\t{name: \"colourA\"},\n\t{name: \"colourB\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(target,fallbackTarget,colourA,colourB) {\n\tvar rgbTarget = $tw.utils.parseCSSColor(target) || $tw.utils.parseCSSColor(fallbackTarget);\n\tif(!rgbTarget) {\n\t\treturn colourA;\n\t}\n\tvar rgbColourA = $tw.utils.parseCSSColor(colourA),\n\t\trgbColourB = $tw.utils.parseCSSColor(colourB);\n\tif(rgbColourA && !rgbColourB) {\n\t\treturn rgbColourA;\n\t}\n\tif(rgbColourB && !rgbColourA) {\n\t\treturn rgbColourB;\n\t}\n\tif(!rgbColourA && !rgbColourB) {\n\t\t// If neither colour is readable, return a crude inverse of the target\n\t\treturn [255 - rgbTarget[0],255 - rgbTarget[1],255 - rgbTarget[2],rgbTarget[3]];\n\t}\n\t// Colour brightness formula derived from http://www.w3.org/WAI/ER/WD-AERT/#color-contrast\n\tvar brightnessTarget = rgbTarget[0] * 0.299 + rgbTarget[1] * 0.587 + rgbTarget[2] * 0.114,\n\t\tbrightnessA = rgbColourA[0] * 0.299 + rgbColourA[1] * 0.587 + rgbColourA[2] * 0.114,\n\t\tbrightnessB = rgbColourB[0] * 0.299 + rgbColourB[1] * 0.587 + rgbColourB[2] * 0.114;\n\treturn Math.abs(brightnessTarget - brightnessA) > Math.abs(brightnessTarget - brightnessB) ? colourA : colourB;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/csvtiddlers.js": {
            "title": "$:/core/modules/macros/csvtiddlers.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/csvtiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to CSV\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"csvtiddlers\";\n\nexports.params = [\n\t{name: \"filter\"},\n\t{name: \"format\"},\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter,format) {\n\tvar self = this,\n\t\ttiddlers = this.wiki.filterTiddlers(filter),\n\t\ttiddler,\n\t\tfields = [],\n\t\tt,f;\n\t// Collect all the fields\n\tfor(t=0;t<tiddlers.length; t++) {\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\tfor(f in tiddler.fields) {\n\t\t\tif(fields.indexOf(f) === -1) {\n\t\t\t\tfields.push(f);\n\t\t\t}\n\t\t}\n\t}\n\t// Sort the fields and bring the standard ones to the front\n\tfields.sort();\n\t\"title text modified modifier created creator\".split(\" \").reverse().forEach(function(value,index) {\n\t\tvar p = fields.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tfields.splice(p,1);\n\t\t\tfields.unshift(value)\n\t\t}\n\t});\n\t// Output the column headings\n\tvar output = [], row = [];\n\tfields.forEach(function(value) {\n\t\trow.push(quoteAndEscape(value))\n\t});\n\toutput.push(row.join(\",\"));\n\t// Output each tiddler\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\trow = [];\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\t\tfor(f=0; f<fields.length; f++) {\n\t\t\t\trow.push(quoteAndEscape(tiddler ? tiddler.getFieldString(fields[f]) || \"\" : \"\"));\n\t\t\t}\n\t\toutput.push(row.join(\",\"));\n\t}\n\treturn output.join(\"\\n\");\n};\n\nfunction quoteAndEscape(value) {\n\treturn \"\\\"\" + value.replace(/\"/mg,\"\\\"\\\"\") + \"\\\"\";\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/displayshortcuts.js": {
            "title": "$:/core/modules/macros/displayshortcuts.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/displayshortcuts.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to display a list of keyboard shortcuts in human readable form. Notably, it resolves named shortcuts like `((bold))` to the underlying keystrokes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"displayshortcuts\";\n\nexports.params = [\n\t{name: \"shortcuts\"},\n\t{name: \"prefix\"},\n\t{name: \"separator\"},\n\t{name: \"suffix\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(shortcuts,prefix,separator,suffix) {\n\tvar shortcutArray = $tw.keyboardManager.getPrintableShortcuts($tw.keyboardManager.parseKeyDescriptors(shortcuts,{\n\t\twiki: this.wiki\n\t}));\n\tif(shortcutArray.length > 0) {\n\t\tshortcutArray.sort(function(a,b) {\n\t\t    return a.toLowerCase().localeCompare(b.toLowerCase());\n\t\t})\n\t\treturn prefix + shortcutArray.join(separator) + suffix;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/jsontiddler.js": {
            "title": "$:/core/modules/macros/jsontiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/jsontiddler.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output a single tiddler to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddler\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\ttitle = title || this.getVariable(\"currentTiddler\");\n\tvar tiddler = !!title && this.wiki.getTiddler(title),\n\t\tfields = new Object();\n\tif(tiddler) {\n\t\tfor(var field in tiddler.fields) {\n\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t}\n\t}\n\treturn JSON.stringify(fields,null,$tw.config.preferences.jsonSpaces);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/jsontiddlers.js": {
            "title": "$:/core/modules/macros/jsontiddlers.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/jsontiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddlers\";\n\nexports.params = [\n\t{name: \"filter\"},\n\t{name: \"spaces\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter,spaces) {\n\treturn this.wiki.getTiddlersAsJson(filter,$tw.utils.parseInt(spaces));\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/makedatauri.js": {
            "title": "$:/core/modules/macros/makedatauri.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/makedatauri.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to convert a string of text to a data URI\n\n<<makedatauri text:\"Text to be converted\" type:\"text/vnd.tiddlywiki\">>\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"makedatauri\";\n\nexports.params = [\n\t{name: \"text\"},\n\t{name: \"type\"},\n\t{name: \"_canonical_uri\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(text,type,_canonical_uri) {\n\treturn $tw.utils.makeDataUri(text,type,_canonical_uri);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/now.js": {
            "title": "$:/core/modules/macros/now.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/now.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return a formatted version of the current time\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"now\";\n\nexports.params = [\n\t{name: \"format\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(format) {\n\treturn $tw.utils.formatDateString(new Date(),format || \"0hh:0mm, DDth MMM YYYY\");\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/qualify.js": {
            "title": "$:/core/modules/macros/qualify.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/qualify.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to qualify a state tiddler title according\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"qualify\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\treturn title + \"-\" + this.getStateQualifier();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/resolvepath.js": {
            "title": "$:/core/modules/macros/resolvepath.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/resolvepath.js\ntype: application/javascript\nmodule-type: macro\n\nResolves a relative path for an absolute rootpath.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"resolvepath\";\n\nexports.params = [\n\t{name: \"source\"},\n\t{name: \"root\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(source, root) {\n\treturn $tw.utils.resolvePath(source, root);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/unusedtitle.js": {
            "title": "$:/core/modules/macros/unusedtitle.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/unusedtitle.js\ntype: application/javascript\nmodule-type: macro\nMacro to return a new title that is unused in the wiki. It can be given a name as a base.\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"unusedtitle\";\n\nexports.params = [\n\t{name: \"baseName\"},\n\t{name: \"options\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(baseName, options) {\n\tif(!baseName) {\n\t\tbaseName = $tw.language.getString(\"DefaultNewTiddlerTitle\");\n\t}\n\treturn this.wiki.generateNewTitle(baseName, options);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/version.js": {
            "title": "$:/core/modules/macros/version.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/version.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the TiddlyWiki core version number\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"version\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn $tw.version;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/parsers/audioparser.js": {
            "title": "$:/core/modules/parsers/audioparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/audioparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe audio parser parses an audio tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar AudioParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"audio\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"},\n\t\t\t\tstyle: {type: \"string\", value: \"width: 100%; object-fit: contain\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"audio/ogg\"] = AudioParser;\nexports[\"audio/mpeg\"] = AudioParser;\nexports[\"audio/mp3\"] = AudioParser;\nexports[\"audio/mp4\"] = AudioParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/parsers/binaryparser.js": {
            "title": "$:/core/modules/parsers/binaryparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/binaryparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe binary parser parses a binary tiddler into a warning message and download link\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar BINARY_WARNING_MESSAGE = \"$:/core/ui/BinaryWarning\";\nvar EXPORT_BUTTON_IMAGE = \"$:/core/images/export-button\";\n\nvar BinaryParser = function(type,text,options) {\n\t// Transclude the binary data tiddler warning message\n\tvar warn = {\n\t\ttype: \"element\",\n\t\ttag: \"p\",\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: BINARY_WARNING_MESSAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Create download link based on binary tiddler title\n\tvar link = {\n\t\ttype: \"element\",\n\t\ttag: \"a\",\n\t\tattributes: {\n\t\t\ttitle: {type: \"indirect\", textReference: \"!!title\"},\n\t\t\tdownload: {type: \"indirect\", textReference: \"!!title\"}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: EXPORT_BUTTON_IMAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Set the link href to external or internal data URI\n\tif(options._canonical_uri) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: options._canonical_uri\n\t\t};\n\t} else if(text) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: \"data:\" + type + \";base64,\" + text\n\t\t};\n\t}\n\t// Combine warning message and download link in a div\n\tvar element = {\n\t\ttype: \"element\",\n\t\ttag: \"div\",\n\t\tattributes: {\n\t\t\tclass: {type: \"string\", value: \"tc-binary-warning\"}\n\t\t},\n\t\tchildren: [warn, link]\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"application/octet-stream\"] = BinaryParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/parsers/csvparser.js": {
            "title": "$:/core/modules/parsers/csvparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/csvparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe CSV text parser processes CSV files into a table wrapped in a scrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar CsvParser = function(type,text,options) {\n\t// Table framework\n\tthis.tree = [{\n\t\t\"type\": \"scrollable\", \"children\": [{\n\t\t\t\"type\": \"element\", \"tag\": \"table\", \"children\": [{\n\t\t\t\t\"type\": \"element\", \"tag\": \"tbody\", \"children\": []\n\t\t\t}], \"attributes\": {\n\t\t\t\t\"class\": {\"type\": \"string\", \"value\": \"tc-csv-table\"}\n\t\t\t}\n\t\t}]\n\t}];\n\t// Split the text into lines\n\tvar lines = text.split(/\\r?\\n/mg),\n\t\ttag = \"th\";\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar lineText = lines[line];\n\t\tif(lineText) {\n\t\t\tvar row = {\n\t\t\t\t\t\"type\": \"element\", \"tag\": \"tr\", \"children\": []\n\t\t\t\t};\n\t\t\tvar columns = lineText.split(\",\");\n\t\t\tfor(var column=0; column<columns.length; column++) {\n\t\t\t\trow.children.push({\n\t\t\t\t\t\t\"type\": \"element\", \"tag\": tag, \"children\": [{\n\t\t\t\t\t\t\t\"type\": \"text\",\n\t\t\t\t\t\t\t\"text\": columns[column]\n\t\t\t\t\t\t}]\n\t\t\t\t\t});\n\t\t\t}\n\t\t\ttag = \"td\";\n\t\t\tthis.tree[0].children[0].children[0].children.push(row);\n\t\t}\n\t}\n};\n\nexports[\"text/csv\"] = CsvParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/parsers/htmlparser.js": {
            "title": "$:/core/modules/parsers/htmlparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/htmlparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe HTML parser displays text as raw HTML\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HtmlParser = function(type,text,options) {\n\tvar src;\n\tif(options._canonical_uri) {\n\t\tsrc = options._canonical_uri;\n\t} else if(text) {\n\t\tsrc = \"data:text/html;charset=utf-8,\" + encodeURIComponent(text);\n\t}\n\tthis.tree = [{\n\t\ttype: \"element\",\n\t\ttag: \"iframe\",\n\t\tattributes: {\n\t\t\tsrc: {type: \"string\", value: src},\n\t\t\tsandbox: {type: \"string\", value: \"\"}\n\t\t}\n\t}];\n};\n\nexports[\"text/html\"] = HtmlParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/parsers/imageparser.js": {
            "title": "$:/core/modules/parsers/imageparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/imageparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe image parser parses an image into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"img\",\n\t\t\tattributes: {}\n\t\t};\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\tif(type === \"image/svg+xml\" || type === \".svg\") {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:image/svg+xml,\" + encodeURIComponent(text)};\n\t\t} else {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t\t}\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"image/svg+xml\"] = ImageParser;\nexports[\"image/jpg\"] = ImageParser;\nexports[\"image/jpeg\"] = ImageParser;\nexports[\"image/png\"] = ImageParser;\nexports[\"image/gif\"] = ImageParser;\nexports[\"image/webp\"] = ImageParser;\nexports[\"image/heic\"] = ImageParser;\nexports[\"image/heif\"] = ImageParser;\nexports[\"image/x-icon\"] = ImageParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/utils/parseutils.js": {
            "title": "$:/core/modules/utils/parseutils.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/parseutils.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions concerned with parsing text into tokens.\n\nMost functions have the following pattern:\n\n* The parameters are:\n** `source`: the source string being parsed\n** `pos`: the current parse position within the string\n** Any further parameters are used to identify the token that is being parsed\n* The return value is:\n** null if the token was not found at the specified position\n** an object representing the token with the following standard fields:\n*** `type`: string indicating the type of the token\n*** `start`: start position of the token in the source string\n*** `end`: end position of the token in the source string\n*** Any further fields required to describe the token\n\nThe exception is `skipWhiteSpace`, which just returns the position after the whitespace.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for a whitespace token. Returns null if not found, otherwise returns {type: \"whitespace\", start:, end:,}\n*/\nexports.parseWhiteSpace = function(source,pos) {\n\tvar p = pos,c;\n\twhile(true) {\n\t\tc = source.charAt(p);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tp++;\n\t\t} else {\n\t\t\tbreak;\n\t\t}\n\t}\n\tif(p === pos) {\n\t\treturn null;\n\t} else {\n\t\treturn {\n\t\t\ttype: \"whitespace\",\n\t\t\tstart: pos,\n\t\t\tend: p\n\t\t}\n\t}\n};\n\n/*\nConvenience wrapper for parseWhiteSpace. Returns the position after the whitespace\n*/\nexports.skipWhiteSpace = function(source,pos) {\n\tvar c;\n\twhile(true) {\n\t\tc = source.charAt(pos);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tpos++;\n\t\t} else {\n\t\t\treturn pos;\n\t\t}\n\t}\n};\n\n/*\nLook for a given string token. Returns null if not found, otherwise returns {type: \"token\", value:, start:, end:,}\n*/\nexports.parseTokenString = function(source,pos,token) {\n\tvar match = source.indexOf(token,pos) === pos;\n\tif(match) {\n\t\treturn {\n\t\t\ttype: \"token\",\n\t\t\tvalue: token,\n\t\t\tstart: pos,\n\t\t\tend: pos + token.length\n\t\t};\n\t}\n\treturn null;\n};\n\n/*\nLook for a token matching a regex. Returns null if not found, otherwise returns {type: \"regexp\", match:, start:, end:,}\n*/\nexports.parseTokenRegExp = function(source,pos,reToken) {\n\tvar node = {\n\t\ttype: \"regexp\",\n\t\tstart: pos\n\t};\n\treToken.lastIndex = pos;\n\tnode.match = reToken.exec(source);\n\tif(node.match && node.match.index === pos) {\n\t\tnode.end = pos + node.match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a string literal. Returns null if not found, otherwise returns {type: \"string\", value:, start:, end:,}\n*/\nexports.parseStringLiteral = function(source,pos) {\n\tvar node = {\n\t\ttype: \"string\",\n\t\tstart: pos\n\t};\n\tvar reString = /(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\")|(?:'([^']*)')/g;\n\treString.lastIndex = pos;\n\tvar match = reString.exec(source);\n\tif(match && match.index === pos) {\n\t\tnode.value = match[1] !== undefined ? match[1] :(\n\t\t\tmatch[2] !== undefined ? match[2] : match[3] \n\t\t\t\t\t);\n\t\tnode.end = pos + match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a macro invocation parameter. Returns null if not found, or {type: \"macro-parameter\", name:, value:, start:, end:}\n*/\nexports.parseMacroParameter = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macro-parameter\",\n\t\tstart: pos\n\t};\n\t// Define our regexp\n\tvar reMacroParameter = /(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\\s>\"'=]+)))/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the parameter\n\tvar token = $tw.utils.parseTokenRegExp(source,pos,reMacroParameter);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the parameter details\n\tnode.value = token.match[2] !== undefined ? token.match[2] : (\n\t\t\t\t\ttoken.match[3] !== undefined ? token.match[3] : (\n\t\t\t\t\t\ttoken.match[4] !== undefined ? token.match[4] : (\n\t\t\t\t\t\t\ttoken.match[5] !== undefined ? token.match[5] : (\n\t\t\t\t\t\t\t\ttoken.match[6] !== undefined ? token.match[6] : (\n\t\t\t\t\t\t\t\t\t\"\"\n\t\t\t\t\t\t\t\t)\n\t\t\t\t\t\t\t)\n\t\t\t\t\t\t)\n\t\t\t\t\t)\n\t\t\t\t);\n\tif(token.match[1]) {\n\t\tnode.name = token.match[1];\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for a macro invocation. Returns null if not found, or {type: \"macrocall\", name:, parameters:, start:, end:}\n*/\nexports.parseMacroInvocation = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macrocall\",\n\t\tstart: pos,\n\t\tparams: []\n\t};\n\t// Define our regexps\n\tvar reMacroName = /([^\\s>\"'=]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double less than sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"<<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the macro name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reMacroName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Process parameters\n\tvar parameter = $tw.utils.parseMacroParameter(source,pos);\n\twhile(parameter) {\n\t\tnode.params.push(parameter);\n\t\tpos = parameter.end;\n\t\t// Get the next parameter\n\t\tparameter = $tw.utils.parseMacroParameter(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">>\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for an HTML attribute definition. Returns null if not found, otherwise returns {type: \"attribute\", name:, valueType: \"string|indirect|macro\", value:, start:, end:,}\n*/\nexports.parseAttribute = function(source,pos) {\n\tvar node = {\n\t\tstart: pos\n\t};\n\t// Define our regexps\n\tvar reAttributeName = /([^\\/\\s>\"'=]+)/g,\n\t\treUnquotedAttribute = /([^\\/\\s<>\"'=]+)/g,\n\t\treFilteredValue = /\\{\\{\\{(.+?)\\}\\}\\}/g,\n\t\treIndirectValue = /\\{\\{([^\\}]+)\\}\\}/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the attribute name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reAttributeName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for an equals sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"=\");\n\tif(token) {\n\t\tpos = token.end;\n\t\t// Skip whitespace\n\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t// Look for a string literal\n\t\tvar stringLiteral = $tw.utils.parseStringLiteral(source,pos);\n\t\tif(stringLiteral) {\n\t\t\tpos = stringLiteral.end;\n\t\t\tnode.type = \"string\";\n\t\t\tnode.value = stringLiteral.value;\n\t\t} else {\n\t\t\t// Look for a filtered value\n\t\t\tvar filteredValue = $tw.utils.parseTokenRegExp(source,pos,reFilteredValue);\n\t\t\tif(filteredValue) {\n\t\t\t\tpos = filteredValue.end;\n\t\t\t\tnode.type = \"filtered\";\n\t\t\t\tnode.filter = filteredValue.match[1];\n\t\t\t} else {\n\t\t\t\t// Look for an indirect value\n\t\t\t\tvar indirectValue = $tw.utils.parseTokenRegExp(source,pos,reIndirectValue);\n\t\t\t\tif(indirectValue) {\n\t\t\t\t\tpos = indirectValue.end;\n\t\t\t\t\tnode.type = \"indirect\";\n\t\t\t\t\tnode.textReference = indirectValue.match[1];\n\t\t\t\t} else {\n\t\t\t\t\t// Look for a unquoted value\n\t\t\t\t\tvar unquotedValue = $tw.utils.parseTokenRegExp(source,pos,reUnquotedAttribute);\n\t\t\t\t\tif(unquotedValue) {\n\t\t\t\t\t\tpos = unquotedValue.end;\n\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\tnode.value = unquotedValue.match[1];\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// Look for a macro invocation value\n\t\t\t\t\t\tvar macroInvocation = $tw.utils.parseMacroInvocation(source,pos);\n\t\t\t\t\t\tif(macroInvocation) {\n\t\t\t\t\t\t\tpos = macroInvocation.end;\n\t\t\t\t\t\t\tnode.type = \"macro\";\n\t\t\t\t\t\t\tnode.value = macroInvocation;\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\t\tnode.value = \"true\";\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t} else {\n\t\tnode.type = \"string\";\n\t\tnode.value = \"true\";\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/parsers/pdfparser.js": {
            "title": "$:/core/modules/parsers/pdfparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/pdfparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe PDF parser embeds a PDF viewer\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"embed\",\n\t\t\tattributes: {}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:application/pdf;base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"application/pdf\"] = ImageParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/parsers/textparser.js": {
            "title": "$:/core/modules/parsers/textparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/textparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe plain text parser processes blocks of source text into a degenerate parse tree consisting of a single text node\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar TextParser = function(type,text,options) {\n\tthis.tree = [{\n\t\ttype: \"codeblock\",\n\t\tattributes: {\n\t\t\tcode: {type: \"string\", value: text},\n\t\t\tlanguage: {type: \"string\", value: type}\n\t\t}\n\t}];\n};\n\nexports[\"text/plain\"] = TextParser;\nexports[\"text/x-tiddlywiki\"] = TextParser;\nexports[\"application/javascript\"] = TextParser;\nexports[\"application/json\"] = TextParser;\nexports[\"text/css\"] = TextParser;\nexports[\"application/x-tiddler-dictionary\"] = TextParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/parsers/videoparser.js": {
            "title": "$:/core/modules/parsers/videoparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/videoparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe video parser parses a video tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar VideoParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"video\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"},\n\t\t\t\tstyle: {type: \"string\", value: \"width: 100%; object-fit: contain\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"video/ogg\"] = VideoParser;\nexports[\"video/webm\"] = VideoParser;\nexports[\"video/mp4\"] = VideoParser;\nexports[\"video/quicktime\"] = VideoParser;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/parsers/wikiparser/rules/codeblock.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/codeblock.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for code blocks. For example:\n\n```\n\t```\n\tThis text will not be //wikified//\n\t```\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match and get language if defined\n\tthis.matchRegExp = /```([\\w-]*)\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\\r?\\n```$)/mg;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Return the $codeblock widget\n\treturn [{\n\t\t\ttype: \"codeblock\",\n\t\t\tattributes: {\n\t\t\t\t\tcode: {type: \"string\", value: text},\n\t\t\t\t\tlanguage: {type: \"string\", value: this.match[1]}\n\t\t\t}\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/codeinline.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/codeinline.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for code runs. For example:\n\n```\n\tThis is a `code run`.\n\tThis is another ``code run``\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(``?)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar reEnd = new RegExp(this.match[1], \"mg\");\n\t// Look for the end marker\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the text\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"code\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: text\n\t\t}]\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/commentblock.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/commentblock.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = startPos + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/commentinline.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/commentinline.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = startPos + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/dash.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/dash.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/dash.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for dashes. For example:\n\n```\nThis is an en-dash: --\n\nThis is an em-dash: ---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"dash\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{2,3}(?!-)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar dash = this.match[0].length === 2 ? \"&ndash;\" : \"&mdash;\";\n\treturn [{\n\t\ttype: \"entity\",\n\t\tentity: dash\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/bold.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - bold. For example:\n\n```\n\tThis is ''bold'' text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except bold \n\\rules only bold \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"bold\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /''/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/''/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strong\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/italic.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - italic. For example:\n\n```\n\tThis is //italic// text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except italic\n\\rules only italic\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"italic\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\/\\//mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\/\\//mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"em\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - strikethrough. For example:\n\n```\n\tThis is ~~strikethrough~~ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except strikethrough \n\\rules only strikethrough \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"strikethrough\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~~/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/~~/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strike\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - subscript. For example:\n\n```\n\tThis is ,,subscript,, text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except subscript \n\\rules only subscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"subscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /,,/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/,,/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sub\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - superscript. For example:\n\n```\n\tThis is ^^superscript^^ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except superscript \n\\rules only superscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"superscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\^\\^/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\^\\^/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sup\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - underscore. For example:\n\n```\n\tThis is __underscore__ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except underscore \n\\rules only underscore\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"underscore\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /__/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/__/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"u\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/entity.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/entity.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/entity.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML entities. For example:\n\n```\n\tThis is a copyright symbol: &copy;\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"entity\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(&#?[a-zA-Z0-9]{2,8};)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar entityString = this.match[1];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Return the entity\n\treturn [{type: \"entity\", entity: this.match[0]}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/extlink.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/extlink.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/extlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\nAn external link: https://www.tiddlywiki.com/\n\nA suppressed external link: ~http://www.tiddlyspace.com/\n```\n\nExternal links can be suppressed by preceding them with `~`.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"extlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~?(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|\"\\\\^]+(?:\\/|\\b)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(this.match[0].substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: this.match[0].substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: this.match[0]},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"},\n\t\t\t\trel: {type: \"string\", value: \"noopener noreferrer\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: this.match[0]\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t},\n\t\tisBlock: true\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t}\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for marking areas with hard line breaks. For example:\n\n```\n\"\"\"\nThis is some text\nThat is set like\nIt is a Poem\nWhen it is\nClearly\nNot\n\"\"\"\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"hardlinebreaks\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\"\"\"(?:\\r?\\n)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\"\"\")|(\\r?\\n)/mg,\n\t\ttree = [],\n\t\tmatch;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tdo {\n\t\t// Parse the run up to the terminator\n\t\ttree.push.apply(tree,this.parser.parseInlineRun(reEnd,{eatTerminator: false}));\n\t\t// Redo the terminator match\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tmatch = reEnd.exec(this.parser.source);\n\t\tif(match) {\n\t\t\tthis.parser.pos = reEnd.lastIndex;\n\t\t\t// Add a line break if the terminator was a line break\n\t\t\tif(match[2]) {\n\t\t\t\ttree.push({type: \"element\", tag: \"br\"});\n\t\t\t}\n\t\t}\n\t} while(match && !match[1]);\n\t// Return the nodes\n\treturn tree;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/heading.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/heading.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/heading.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for headings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"heading\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(!{1,6})/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar headingLevel = this.match[1].length;\n\t// Move past the !s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse any classes, whitespace and then the heading itself\n\tvar classes = this.parser.parseClasses();\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// Return the heading\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"h\" + headingLevel, \n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: classes.join(\" \")}\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/horizrule.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/horizrule.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/horizrule.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for rules. For example:\n\n```\n---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"horizrule\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{3,}\\r?(?:\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\treturn [{type: \"element\", tag: \"hr\"}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/html.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/html.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/html.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for HTML elements and widgets. For example:\n\n{{{\n<aside>\nThis is an HTML5 aside element\n</aside>\n\n<$slider target=\"MyTiddler\">\nThis is a widget invocation\n</$slider>\n\n}}}\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"html\";\nexports.types = {inline: true, block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextTag = this.findNextTag(this.parser.source,startPos,{\n\t\trequireLineBreak: this.is.block\n\t});\n\treturn this.nextTag ? this.nextTag.start : undefined;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Retrieve the most recent match so that recursive calls don't overwrite it\n\tvar tag = this.nextTag;\n\tthis.nextTag = null;\n\t// Advance the parser position to past the tag\n\tthis.parser.pos = tag.end;\n\t// Check for an immediately following double linebreak\n\tvar hasLineBreak = !tag.isSelfClosing && !!$tw.utils.parseTokenRegExp(this.parser.source,this.parser.pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t// Set whether we're in block mode\n\ttag.isBlock = this.is.block || hasLineBreak;\n\t// Parse the body if we need to\n\tif(!tag.isSelfClosing && $tw.config.htmlVoidElements.indexOf(tag.tag) === -1) {\n\t\t\tvar reEndString = \"</\" + $tw.utils.escapeRegExp(tag.tag) + \">\",\n\t\t\t\treEnd = new RegExp(\"(\" + reEndString + \")\",\"mg\");\n\t\tif(hasLineBreak) {\n\t\t\ttag.children = this.parser.parseBlocks(reEndString);\n\t\t} else {\n\t\t\ttag.children = this.parser.parseInlineRun(reEnd);\n\t\t}\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tvar endMatch = reEnd.exec(this.parser.source);\n\t\tif(endMatch && endMatch.index === this.parser.pos) {\n\t\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t\t}\n\t}\n\t// Return the tag\n\treturn [tag];\n};\n\n/*\nLook for an HTML tag. Returns null if not found, otherwise returns {type: \"element\", name:, attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseTag = function(source,pos,options) {\n\toptions = options || {};\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Define our regexps\n\tvar reTagName = /([a-zA-Z0-9\\-\\$]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a less than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\"<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the tag name\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,reTagName);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tnode.tag = token.match[1];\n\tif(node.tag.slice(1).indexOf(\"$\") !== -1) {\n\t\treturn null;\n\t}\n\tif(node.tag.charAt(0) === \"$\") {\n\t\tnode.type = node.tag.substr(1);\n\t}\n\tpos = token.end;\n\t// Check that the tag is terminated by a space, / or >\n\tif(!$tw.utils.parseWhiteSpace(source,pos) && !(source.charAt(pos) === \"/\") && !(source.charAt(pos) === \">\") ) {\n\t\treturn null;\n\t}\n\t// Process attributes\n\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\twhile(attribute) {\n\t\tnode.attributes[attribute.name] = attribute;\n\t\tpos = attribute.end;\n\t\t// Get the next attribute\n\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a closing slash\n\ttoken = $tw.utils.parseTokenString(source,pos,\"/\");\n\tif(token) {\n\t\tpos = token.end;\n\t\tnode.isSelfClosing = true;\n\t}\n\t// Look for a greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Check for a required line break\n\tif(options.requireLineBreak) {\n\t\ttoken = $tw.utils.parseTokenRegExp(source,pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t\tif(!token) {\n\t\t\treturn null;\n\t\t}\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\nexports.findNextTag = function(source,pos,options) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /<([a-zA-Z\\-\\$]+)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseTag(source,match.index,options);\n\t\t// Return success\n\t\tif(tag && this.isLegalTag(tag)) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\nexports.isLegalTag = function(tag) {\n\t// Widgets are always OK\n\tif(tag.type !== \"element\") {\n\t\treturn true;\n\t// If it's an HTML tag that starts with a dash then it's not legal\n\t} else if(tag.tag.charAt(0) === \"-\") {\n\t\treturn false;\n\t} else {\n\t\t// Otherwise it's OK\n\t\treturn true;\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/image.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/image.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/image.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for embedding images. For example:\n\n```\n[img[https://tiddlywiki.com/fractalveg.jpg]]\n[img width=23 height=24 [https://tiddlywiki.com/fractalveg.jpg]]\n[img width={{!!width}} height={{!!height}} [https://tiddlywiki.com/fractalveg.jpg]]\n[img[Description of image|https://tiddlywiki.com/fractalveg.jpg]]\n[img[TiddlerTitle]]\n[img[Description of image|TiddlerTitle]]\n```\n\nGenerates the `<$image>` widget.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"image\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextImage = this.findNextImage(this.parser.source,startPos);\n\treturn this.nextImage ? this.nextImage.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextImage.end;\n\tvar node = {\n\t\ttype: \"image\",\n\t\tattributes: this.nextImage.attributes\n\t};\n\treturn [node];\n};\n\n/*\nFind the next image from the current position\n*/\nexports.findNextImage = function(source,pos) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /(\\[img)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseImage(source,match.index);\n\t\t// Return success\n\t\tif(tag) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an image at the specified position. Returns null if not found, otherwise returns {type: \"image\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseImage = function(source,pos) {\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"image\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[img`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[img\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Process attributes\n\tif(source.charAt(pos) !== \"[\") {\n\t\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\t\twhile(attribute) {\n\t\t\tnode.attributes[attribute.name] = attribute;\n\t\t\tpos = attribute.end;\n\t\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t\tif(source.charAt(pos) !== \"[\") {\n\t\t\t\t// Get the next attribute\n\t\t\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t\t\t} else {\n\t\t\t\tattribute = null;\n\t\t\t}\n\t\t}\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[` after the attributes\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the source up to the terminating `]]`\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,/(?:([^|\\]]*?)\\|)?([^\\]]+?)\\]\\]/g);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\tif(token.match[1]) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: token.match[1].trim()};\n\t}\n\tnode.attributes.source = {type: \"string\", value: (token.match[2] || \"\").trim()};\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/import.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/import.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/import.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for importing variable definitions\n\n```\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"import\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\import[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar self = this;\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the filter terminated by a line break\n\tvar reMatch = /(.*)(\\r?\\n)|$/mg;\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\tthis.parser.pos = reMatch.lastIndex;\n\t// Parse tree nodes to return\n\treturn [{\n\t\ttype: \"importvariables\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: match[1]}\n\t\t},\n\t\tchildren: []\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/list.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/list.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/list.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for lists. For example:\n\n```\n* This is an unordered list\n* It has two items\n\n# This is a numbered list\n## With a subitem\n# And a third item\n\n; This is a term that is being defined\n: This is the definition of that term\n```\n\nNote that lists can be nested arbitrarily:\n\n```\n#** One\n#* Two\n#** Three\n#**** Four\n#**# Five\n#**## Six\n## Seven\n### Eight\n## Nine\n```\n\nA CSS class can be applied to a list item as follows:\n\n```\n* List item one\n*.active List item two has the class `active`\n* List item three\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"list\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /([\\*#;:>]+)/mg;\n};\n\nvar listTypes = {\n\t\"*\": {listTag: \"ul\", itemTag: \"li\"},\n\t\"#\": {listTag: \"ol\", itemTag: \"li\"},\n\t\";\": {listTag: \"dl\", itemTag: \"dt\"},\n\t\":\": {listTag: \"dl\", itemTag: \"dd\"},\n\t\">\": {listTag: \"blockquote\", itemTag: \"div\"}\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Array of parse tree nodes for the previous row of the list\n\tvar listStack = [];\n\t// Cycle through the items in the list\n\twhile(true) {\n\t\t// Match the list marker\n\t\tvar reMatch = /([\\*#;:>]+)/mg;\n\t\treMatch.lastIndex = this.parser.pos;\n\t\tvar match = reMatch.exec(this.parser.source);\n\t\tif(!match || match.index !== this.parser.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check whether the list type of the top level matches\n\t\tvar listInfo = listTypes[match[0].charAt(0)];\n\t\tif(listStack.length > 0 && listStack[0].tag !== listInfo.listTag) {\n\t\t\tbreak;\n\t\t}\n\t\t// Move past the list marker\n\t\tthis.parser.pos = match.index + match[0].length;\n\t\t// Walk through the list markers for the current row\n\t\tfor(var t=0; t<match[0].length; t++) {\n\t\t\tlistInfo = listTypes[match[0].charAt(t)];\n\t\t\t// Remove any stacked up element if we can't re-use it because the list type doesn't match\n\t\t\tif(listStack.length > t && listStack[t].tag !== listInfo.listTag) {\n\t\t\t\tlistStack.splice(t,listStack.length - t);\n\t\t\t}\n\t\t\t// Construct the list element or reuse the previous one at this level\n\t\t\tif(listStack.length <= t) {\n\t\t\t\tvar listElement = {type: \"element\", tag: listInfo.listTag, children: [\n\t\t\t\t\t{type: \"element\", tag: listInfo.itemTag, children: []}\n\t\t\t\t]};\n\t\t\t\t// Link this list element into the last child item of the parent list item\n\t\t\t\tif(t) {\n\t\t\t\t\tvar prevListItem = listStack[t-1].children[listStack[t-1].children.length-1];\n\t\t\t\t\tprevListItem.children.push(listElement);\n\t\t\t\t}\n\t\t\t\t// Save this element in the stack\n\t\t\t\tlistStack[t] = listElement;\n\t\t\t} else if(t === (match[0].length - 1)) {\n\t\t\t\tlistStack[t].children.push({type: \"element\", tag: listInfo.itemTag, children: []});\n\t\t\t}\n\t\t}\n\t\tif(listStack.length > match[0].length) {\n\t\t\tlistStack.splice(match[0].length,listStack.length - match[0].length);\n\t\t}\n\t\t// Process the body of the list item into the last list item\n\t\tvar lastListChildren = listStack[listStack.length-1].children,\n\t\t\tlastListItem = lastListChildren[lastListChildren.length-1],\n\t\t\tclasses = this.parser.parseClasses();\n\t\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\t\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t\tlastListItem.children.push.apply(lastListItem.children,tree);\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(lastListItem,classes.join(\" \"));\n\t\t}\n\t\t// Consume any whitespace following the list item\n\t\tthis.parser.skipWhitespace();\n\t}\n\t// Return the root element of the list\n\treturn [listStack[0]];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/macrocallblock.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/macrocallblock.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for block macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /<<([^>\\s]+)(?:\\s*)((?:[^>]|(?:>(?!>)))*?)>>(?:\\r?\\n|$)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn [{\n\t\ttype: \"macrocall\",\n\t\tname: macroName,\n\t\tparams: params,\n\t\tisBlock: true\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/macrocallinline.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/macrocallinline.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /<<([^\\s>]+)\\s*([\\s\\S]*?)>>/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5]|| paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn [{\n\t\ttype: \"macrocall\",\n\t\tname: macroName,\n\t\tparams: params\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/macrodef.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/macrodef.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrodef.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for macro definitions\n\n```\n\\define name(param:defaultvalue,param2:defaultvalue)\ndefinition text, including $param$ markers\n\\end\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrodef\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\define\\s+([^(\\s]+)\\(\\s*([^)]*)\\)(\\s*\\r?\\n)?/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the macro name and parameters\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the parameters\n\tvar paramString = this.match[2],\n\t\tparams = [];\n\tif(paramString !== \"\") {\n\t\tvar reParam = /\\s*([A-Za-z0-9\\-_]+)(?:\\s*:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))?/mg,\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\twhile(paramMatch) {\n\t\t\t// Save the parameter details\n\t\t\tvar paramInfo = {name: paramMatch[1]},\n\t\t\t\tdefaultValue = paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6];\n\t\t\tif(defaultValue) {\n\t\t\t\tparamInfo[\"default\"] = defaultValue;\n\t\t\t}\n\t\t\tparams.push(paramInfo);\n\t\t\t// Look for the next parameter\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\t}\n\t}\n\t// Is this a multiline definition?\n\tvar reEnd;\n\tif(this.match[3]) {\n\t\t// If so, the end of the body is marked with \\end\n\t\treEnd = /(\\r?\\n\\\\end[^\\S\\n\\r]*(?:$|\\r?\\n))/mg;\n\t} else {\n\t\t// Otherwise, the end of the definition is marked by the end of the line\n\t\treEnd = /($|\\r?\\n)/mg;\n\t\t// Move past any whitespace\n\t\tthis.parser.pos = $tw.utils.skipWhiteSpace(this.parser.source,this.parser.pos);\n\t}\n\t// Find the end of the definition\n\treEnd.lastIndex = this.parser.pos;\n\tvar text,\n\t\tendMatch = reEnd.exec(this.parser.source);\n\tif(endMatch) {\n\t\ttext = this.parser.source.substring(this.parser.pos,endMatch.index);\n\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t} else {\n\t\t// We didn't find the end of the definition, so we'll make it blank\n\t\ttext = \"\";\n\t}\n\t// Save the macro definition\n\treturn [{\n\t\ttype: \"set\",\n\t\tattributes: {\n\t\t\tname: {type: \"string\", value: this.match[1]},\n\t\t\tvalue: {type: \"string\", value: text}\n\t\t},\n\t\tchildren: [],\n\t\tparams: params,\n\t\tisMacroDefinition: true\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/prettyextlink.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/prettyextlink.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettyextlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\n[ext[https://tiddlywiki.com/fractalveg.jpg]]\n[ext[Tooltip|https://tiddlywiki.com/fractalveg.jpg]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettyextlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextLink = this.findNextLink(this.parser.source,startPos);\n\treturn this.nextLink ? this.nextLink.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextLink.end;\n\treturn [this.nextLink];\n};\n\n/*\nFind the next link from the current position\n*/\nexports.findNextLink = function(source,pos) {\n\t// A regexp for finding candidate links\n\tvar reLookahead = /(\\[ext\\[)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a link\n\t\tvar link = this.parseLink(source,match.index);\n\t\t// Return success\n\t\tif(link) {\n\t\t\treturn link;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an link at the specified position. Returns null if not found, otherwise returns {type: \"element\", tag: \"a\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseLink = function(source,pos) {\n\tvar token,\n\t\ttextNode = {\n\t\t\ttype: \"text\"\n\t\t},\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tstart: pos,\n\t\t\tattributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t},\n\t\t\tchildren: [textNode]\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[ext[`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[ext[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Look ahead for the terminating `]]`\n\tvar closePos = source.indexOf(\"]]\",pos);\n\tif(closePos === -1) {\n\t\treturn null;\n\t}\n\t// Look for a `|` separating the tooltip\n\tvar splitPos = source.indexOf(\"|\",pos);\n\tif(splitPos === -1 || splitPos > closePos) {\n\t\tsplitPos = null;\n\t}\n\t// Pull out the tooltip and URL\n\tvar tooltip, URL;\n\tif(splitPos) {\n\t\tURL = source.substring(splitPos + 1,closePos).trim();\n\t\ttextNode.text = source.substring(pos,splitPos).trim();\n\t} else {\n\t\tURL = source.substring(pos,closePos).trim();\n\t\ttextNode.text = URL;\n\t}\n\tnode.attributes.href = {type: \"string\", value: URL};\n\tnode.attributes.target = {type: \"string\", value: \"_blank\"};\n\tnode.attributes.rel = {type: \"string\", value: \"noopener noreferrer\"};\n\t// Update the end position\n\tnode.end = closePos + 2;\n\treturn node;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/prettylink.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/prettylink.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettylink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for pretty links. For example:\n\n```\n[[Introduction]]\n\n[[Link description|TiddlerTitle]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettylink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\[\\[(.*?)(?:\\|(.*?))?\\]\\]/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Process the link\n\tvar text = this.match[1],\n\t\tlink = this.match[2] || text;\n\tif($tw.utils.isLinkExternal(link)) {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: link},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"},\n\t\t\t\trel: {type: \"string\", value: \"noopener noreferrer\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: link}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/quoteblock.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/quoteblock.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/quoteblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for quote blocks. For example:\n\n```\n\t<<<.optionalClass(es) optional cited from\n\ta quote\n\t<<<\n\t\n\t<<<.optionalClass(es)\n\ta quote\n\t<<< optional cited from\n```\n\nQuotes can be quoted by putting more <s\n\n```\n\t<<<\n\tQuote Level 1\n\t\n\t<<<<\n\tQuoteLevel 2\n\t<<<<\n\t\n\t<<<\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"quoteblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(<<<+)/mg;\n};\n\nexports.parse = function() {\n\tvar classes = [\"tc-quote\"];\n\t// Get all the details of the match\n\tvar reEndString = \"^\" + this.match[1] + \"(?!<)\";\n\t// Move past the <s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\n\t// Parse any classes, whitespace and then the optional cite itself\n\tclasses.push.apply(classes, this.parser.parseClasses());\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar cite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// before handling the cite, parse the body of the quote\n\tvar tree= this.parser.parseBlocks(reEndString);\n\t// If we got a cite, put it before the text\n\tif(cite.length > 0) {\n\t\ttree.unshift({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Parse any optional cite\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tcite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// If we got a cite, push it\n\tif(cite.length > 0) {\n\t\ttree.push({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Return the blockquote element\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"blockquote\",\n\t\tattributes: {\n\t\t\tclass: { type: \"string\", value: classes.join(\" \") },\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/rules.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/rules.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/rules.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for rules specifications\n\n```\n\\rules except ruleone ruletwo rulethree\n\\rules only ruleone ruletwo rulethree\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"rules\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\rules[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\tif(tokens.length > 0) {\n\t\tthis.parser.amendRules(tokens[0],tokens.slice(1));\n\t}\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/styleblock.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/styleblock.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for assigning styles and classes to paragraphs and other blocks. For example:\n\n```\n@@.myClass\n@@background-color:red;\nThis paragraph will have the CSS class `myClass`.\n\n* The `<ul>` around this list will also have the class `myClass`\n* List item 2\n\n@@\n```\n\nNote that classes and styles can be mixed subject to the rule that styles must precede classes. For example\n\n```\n@@.myFirstClass.mySecondClass\n@@width:100px;.myThirdClass\nThis is a paragraph\n@@\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(?:\\.([^\\r\\n\\s]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEndString = \"^@@(?:\\\\r?\\\\n)?\";\n\tvar classes = [], styles = [];\n\tdo {\n\t\t// Get the class and style\n\t\tif(this.match[1]) {\n\t\t\tstyles.push(this.match[1]);\n\t\t}\n\t\tif(this.match[2]) {\n\t\t\tclasses.push(this.match[2].split(\".\").join(\" \"));\n\t\t}\n\t\t// Move past the match\n\t\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\t// Look for another line of classes and styles\n\t\tthis.match = this.matchRegExp.exec(this.parser.source);\n\t} while(this.match && this.match.index === this.parser.pos);\n\t// Parse the body\n\tvar tree = this.parser.parseBlocks(reEndString);\n\tfor(var t=0; t<tree.length; t++) {\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(tree[t],classes.join(\" \"));\n\t\t}\n\t\tif(styles.length > 0) {\n\t\t\t$tw.utils.addAttributeToParseTreeNode(tree[t],\"style\",styles.join(\"\"));\n\t\t}\n\t}\n\treturn tree;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/styleinline.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/styleinline.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for assigning styles and classes to inline runs. For example:\n\n```\n@@.myClass This is some text with a class@@\n@@background-color:red;This is some text with a background colour@@\n@@width:100px;.myClass This is some text with a class and a width@@\n```\n\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(\\.(?:[^\\r\\n\\s]+)\\s+)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /@@/g;\n\t// Get the styles and class\n\tvar stylesString = this.match[1],\n\t\tclassString = this.match[2] ? this.match[2].split(\".\").join(\" \") : undefined;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the run up to the terminator\n\tvar tree = this.parser.parseInlineRun(reEnd,{eatTerminator: true});\n\t// Return the classed span\n\tvar node = {\n\t\ttype: \"element\",\n\t\ttag: \"span\",\n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: \"tc-inline-style\"}\n\t\t},\n\t\tchildren: tree\n\t};\n\tif(classString) {\n\t\t$tw.utils.addClassToParseTreeNode(node,classString);\n\t}\n\tif(stylesString) {\n\t\t$tw.utils.addAttributeToParseTreeNode(node,\"style\",stylesString);\n\t}\n\treturn [node];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/syslink.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/syslink.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/syslink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for system tiddler links.\nCan be suppressed preceding them with `~`.\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"syslink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp(\n\t\t\"~?\\\\$:\\\\/[\" +\n\t\t$tw.config.textPrimitives.anyLetter.substr(1,$tw.config.textPrimitives.anyLetter.length - 2) +\n\t\t\"\\/._-]+\",\n\t\t\"mg\"\n\t);\n};\n\nexports.parse = function() {\n\tvar match = this.match[0];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(match.substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: match.substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: match}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: match\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/table.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/table.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/table.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for tables.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"table\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\|(?:[^\\n]*)\\|(?:[fhck]?)\\r?(?:\\n|$)/mg;\n};\n\nvar processRow = function(prevColumns) {\n\tvar cellRegExp = /(?:\\|([^\\n\\|]*)\\|)|(\\|[fhck]?\\r?(?:\\n|$))/mg,\n\t\tcellTermRegExp = /((?:\\x20*)\\|)/mg,\n\t\ttree = [],\n\t\tcol = 0,\n\t\tcolSpanCount = 1,\n\t\tprevCell,\n\t\tvAlign;\n\t// Match a single cell\n\tcellRegExp.lastIndex = this.parser.pos;\n\tvar cellMatch = cellRegExp.exec(this.parser.source);\n\twhile(cellMatch && cellMatch.index === this.parser.pos) {\n\t\tif(cellMatch[1] === \"~\") {\n\t\t\t// Rowspan\n\t\t\tvar last = prevColumns[col];\n\t\t\tif(last) {\n\t\t\t\tlast.rowSpanCount++;\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"rowspan\",last.rowSpanCount);\n\t\t\t\tvAlign = $tw.utils.getAttributeValueFromParseTreeNode(last.element,\"valign\",\"center\");\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"valign\",vAlign);\n\t\t\t\tif(colSpanCount > 1) {\n\t\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"colspan\",colSpanCount);\n\t\t\t\t\tcolSpanCount = 1;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \">\") {\n\t\t\t// Colspan\n\t\t\tcolSpanCount++;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \"<\" && prevCell) {\n\t\t\tcolSpanCount = 1 + $tw.utils.getAttributeValueFromParseTreeNode(prevCell,\"colspan\",1);\n\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\tcolSpanCount = 1;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[2]) {\n\t\t\t// End of row\n\t\t\tif(prevCell && colSpanCount > 1) {\n\t\t\t\tif(prevCell.attributes && prevCell.attributes && prevCell.attributes.colspan) {\n\t\t\t\t\t\tcolSpanCount += prevCell.attributes.colspan.value;\n\t\t\t\t} else {\n\t\t\t\t\tcolSpanCount -= 1;\n\t\t\t\t}\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\t}\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t\tbreak;\n\t\t} else {\n\t\t\t// For ordinary cells, step beyond the opening `|`\n\t\t\tthis.parser.pos++;\n\t\t\t// Look for a space at the start of the cell\n\t\t\tvar spaceLeft = false;\n\t\t\tvAlign = null;\n\t\t\tif(this.parser.source.substr(this.parser.pos).search(/^\\^([^\\^]|\\^\\^)/) === 0) {\n\t\t\t\tvAlign = \"top\";\n\t\t\t} else if(this.parser.source.substr(this.parser.pos).search(/^,([^,]|,,)/) === 0) {\n\t\t\t\tvAlign = \"bottom\";\n\t\t\t}\n\t\t\tif(vAlign) {\n\t\t\t\tthis.parser.pos++;\n\t\t\t}\n\t\t\tvar chr = this.parser.source.substr(this.parser.pos,1);\n\t\t\twhile(chr === \" \") {\n\t\t\t\tspaceLeft = true;\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tchr = this.parser.source.substr(this.parser.pos,1);\n\t\t\t}\n\t\t\t// Check whether this is a heading cell\n\t\t\tvar cell;\n\t\t\tif(chr === \"!\") {\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tcell = {type: \"element\", tag: \"th\", children: []};\n\t\t\t} else {\n\t\t\t\tcell = {type: \"element\", tag: \"td\", children: []};\n\t\t\t}\n\t\t\ttree.push(cell);\n\t\t\t// Record information about this cell\n\t\t\tprevCell = cell;\n\t\t\tprevColumns[col] = {rowSpanCount:1,element:cell};\n\t\t\t// Check for a colspan\n\t\t\tif(colSpanCount > 1) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"colspan\",colSpanCount);\n\t\t\t\tcolSpanCount = 1;\n\t\t\t}\n\t\t\t// Parse the cell\n\t\t\tcell.children = this.parser.parseInlineRun(cellTermRegExp,{eatTerminator: true});\n\t\t\t// Set the alignment for the cell\n\t\t\tif(vAlign) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"valign\",vAlign);\n\t\t\t}\n\t\t\tif(this.parser.source.substr(this.parser.pos - 2,1) === \" \") { // spaceRight\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",spaceLeft ? \"center\" : \"left\");\n\t\t\t} else if(spaceLeft) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",\"right\");\n\t\t\t}\n\t\t\t// Move back to the closing `|`\n\t\t\tthis.parser.pos--;\n\t\t}\n\t\tcol++;\n\t\tcellRegExp.lastIndex = this.parser.pos;\n\t\tcellMatch = cellRegExp.exec(this.parser.source);\n\t}\n\treturn tree;\n};\n\nexports.parse = function() {\n\tvar rowContainerTypes = {\"c\":\"caption\", \"h\":\"thead\", \"\":\"tbody\", \"f\":\"tfoot\"},\n\t\ttable = {type: \"element\", tag: \"table\", children: []},\n\t\trowRegExp = /^\\|([^\\n]*)\\|([fhck]?)\\r?(?:\\n|$)/mg,\n\t\trowTermRegExp = /(\\|(?:[fhck]?)\\r?(?:\\n|$))/mg,\n\t\tprevColumns = [],\n\t\tcurrRowType,\n\t\trowContainer,\n\t\trowCount = 0;\n\t// Match the row\n\trowRegExp.lastIndex = this.parser.pos;\n\tvar rowMatch = rowRegExp.exec(this.parser.source);\n\twhile(rowMatch && rowMatch.index === this.parser.pos) {\n\t\tvar rowType = rowMatch[2];\n\t\t// Check if it is a class assignment\n\t\tif(rowType === \"k\") {\n\t\t\t$tw.utils.addClassToParseTreeNode(table,rowMatch[1]);\n\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t} else {\n\t\t\t// Otherwise, create a new row if this one is of a different type\n\t\t\tif(rowType !== currRowType) {\n\t\t\t\trowContainer = {type: \"element\", tag: rowContainerTypes[rowType], children: []};\n\t\t\t\ttable.children.push(rowContainer);\n\t\t\t\tcurrRowType = rowType;\n\t\t\t}\n\t\t\t// Is this a caption row?\n\t\t\tif(currRowType === \"c\") {\n\t\t\t\t// If so, move past the opening `|` of the row\n\t\t\t\tthis.parser.pos++;\n\t\t\t\t// Move the caption to the first row if it isn't already\n\t\t\t\tif(table.children.length !== 1) {\n\t\t\t\t\ttable.children.pop(); // Take rowContainer out of the children array\n\t\t\t\t\ttable.children.splice(0,0,rowContainer); // Insert it at the bottom\t\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\t// Set the alignment - TODO: figure out why TW did this\n//\t\t\t\trowContainer.attributes.align = rowCount === 0 ? \"top\" : \"bottom\";\n\t\t\t\t// Parse the caption\n\t\t\t\trowContainer.children = this.parser.parseInlineRun(rowTermRegExp,{eatTerminator: true});\n\t\t\t} else {\n\t\t\t\t// Create the row\n\t\t\t\tvar theRow = {type: \"element\", tag: \"tr\", children: []};\n\t\t\t\t$tw.utils.addClassToParseTreeNode(theRow,rowCount%2 ? \"oddRow\" : \"evenRow\");\n\t\t\t\trowContainer.children.push(theRow);\n\t\t\t\t// Process the row\n\t\t\t\ttheRow.children = processRow.call(this,prevColumns);\n\t\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t\t\t// Increment the row count\n\t\t\t\trowCount++;\n\t\t\t}\n\t\t}\n\t\trowMatch = rowRegExp.exec(this.parser.source);\n\t}\n\treturn [table];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/transcludeblock.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/transcludeblock.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]);\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {},\n\t\t\tisBlock: true\n\t\t};\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tisBlock: true,\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes.field = {type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes.index = {type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/transcludeinline.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/transcludeinline.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]);\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {}\n\t\t};\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes.field = {type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes.index = {type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/typedblock.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/typedblock.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/typedblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for typed blocks. For example:\n\n```\n$$$.js\nThis will be rendered as JavaScript\n$$$\n\n$$$.svg\n<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"150\" height=\"100\">\n  <circle cx=\"100\" cy=\"50\" r=\"40\" stroke=\"black\" stroke-width=\"2\" fill=\"red\" />\n</svg>\n$$$\n\n$$$text/vnd.tiddlywiki>text/html\nThis will be rendered as an //HTML representation// of WikiText\n$$$\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.name = \"typedblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\$\\$\\$([^ >\\r\\n]*)(?: *> *([^ \\r\\n]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /\\r?\\n\\$\\$\\$\\r?(?:\\n|$)/mg;\n\t// Save the type\n\tvar parseType = this.match[1],\n\t\trenderType = this.match[2];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Parse the block according to the specified type\n\tvar parser = this.parser.wiki.parseText(parseType,text,{defaultType: \"text/plain\"});\n\t// If there's no render type, just return the parse tree\n\tif(!renderType) {\n\t\treturn parser.tree;\n\t} else {\n\t\t// Otherwise, render to the rendertype and return in a <PRE> tag\n\t\tvar widgetNode = this.parser.wiki.makeWidget(parser),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\ttext = renderType === \"text/html\" ? container.innerHTML : container.textContent;\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"pre\",\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/whitespace.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/whitespace.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/whitespace.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for whitespace specifications\n\n```\n\\whitespace trim\n\\whitespace notrim\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"whitespace\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\whitespace[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar self = this;\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\t$tw.utils.each(tokens,function(token) {\n\t\tswitch(token) {\n\t\t\tcase \"trim\":\n\t\t\t\tself.parser.configTrimWhiteSpace = true;\n\t\t\t\tbreak;\n\t\t\tcase \"notrim\":\n\t\t\t\tself.parser.configTrimWhiteSpace = false;\n\t\t\t\tbreak;\n\t\t}\n\t});\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/wikilink.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/wikilink.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikilink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for wiki links. For example:\n\n```\nAWikiLink\nAnotherLink\n~SuppressedLink\n```\n\nPrecede a camel case word with `~` to prevent it from being recognised as a link.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"wikilink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp($tw.config.textPrimitives.unWikiLink + \"?\" + $tw.config.textPrimitives.wikiLink,\"mg\");\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get the details of the match\n\tvar linkText = this.match[0];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// If the link starts with the unwikilink character then just output it as plain text\n\tif(linkText.substr(0,1) === $tw.config.textPrimitives.unWikiLink) {\n\t\treturn [{type: \"text\", text: linkText.substr(1)}];\n\t}\n\t// If the link has been preceded with a blocked letter then don't treat it as a link\n\tif(this.match.index > 0) {\n\t\tvar preRegExp = new RegExp($tw.config.textPrimitives.blockPrefixLetters,\"mg\");\n\t\tpreRegExp.lastIndex = this.match.index-1;\n\t\tvar preMatch = preRegExp.exec(this.parser.source);\n\t\tif(preMatch && preMatch.index === this.match.index-1) {\n\t\t\treturn [{type: \"text\", text: linkText}];\n\t\t}\n\t}\n\treturn [{\n\t\ttype: \"link\",\n\t\tattributes: {\n\t\t\tto: {type: \"string\", value: linkText}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: linkText\n\t\t}]\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/wikiparser.js": {
            "title": "$:/core/modules/parsers/wikiparser/wikiparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/wikiparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe wiki text parser processes blocks of source text into a parse tree.\n\nThe parse tree is made up of nested arrays of these JavaScript objects:\n\n\t{type: \"element\", tag: <string>, attributes: {}, children: []} - an HTML element\n\t{type: \"text\", text: <string>} - a text node\n\t{type: \"entity\", value: <string>} - an entity\n\t{type: \"raw\", html: <string>} - raw HTML\n\nAttributes are stored as hashmaps of the following objects:\n\n\t{type: \"string\", value: <string>} - literal string\n\t{type: \"indirect\", textReference: <textReference>} - indirect through a text reference\n\t{type: \"macro\", macro: <TBD>} - indirect through a macro invocation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar WikiParser = function(type,text,options) {\n\tthis.wiki = options.wiki;\n\tvar self = this;\n\t// Check for an externally linked tiddler\n\tif($tw.browser && (text || \"\") === \"\" && options._canonical_uri) {\n\t\tthis.loadRemoteTiddler(options._canonical_uri);\n\t\ttext = $tw.language.getRawString(\"LazyLoadingWarning\");\n\t}\n\t// Initialise the classes if we don't have them already\n\tif(!this.pragmaRuleClasses) {\n\t\tWikiParser.prototype.pragmaRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"pragma\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.pragmaRuleClasses,\"$:/config/WikiParserRules/Pragmas/\");\n\t}\n\tif(!this.blockRuleClasses) {\n\t\tWikiParser.prototype.blockRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"block\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.blockRuleClasses,\"$:/config/WikiParserRules/Block/\");\n\t}\n\tif(!this.inlineRuleClasses) {\n\t\tWikiParser.prototype.inlineRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"inline\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.inlineRuleClasses,\"$:/config/WikiParserRules/Inline/\");\n\t}\n\t// Save the parse text\n\tthis.type = type || \"text/vnd.tiddlywiki\";\n\tthis.source = text || \"\";\n\tthis.sourceLength = this.source.length;\n\t// Flag for ignoring whitespace\n\tthis.configTrimWhiteSpace = false;\n\t// Set current parse position\n\tthis.pos = 0;\n\t// Instantiate the pragma parse rules\n\tthis.pragmaRules = this.instantiateRules(this.pragmaRuleClasses,\"pragma\",0);\n\t// Instantiate the parser block and inline rules\n\tthis.blockRules = this.instantiateRules(this.blockRuleClasses,\"block\",0);\n\tthis.inlineRules = this.instantiateRules(this.inlineRuleClasses,\"inline\",0);\n\t// Parse any pragmas\n\tthis.tree = [];\n\tvar topBranch = this.parsePragmas();\n\t// Parse the text into inline runs or blocks\n\tif(options.parseAsInline) {\n\t\ttopBranch.push.apply(topBranch,this.parseInlineRun());\n\t} else {\n\t\ttopBranch.push.apply(topBranch,this.parseBlocks());\n\t}\n\t// Return the parse tree\n};\n\n/*\n*/\nWikiParser.prototype.loadRemoteTiddler = function(url) {\n\tvar self = this;\n\t$tw.utils.httpRequest({\n\t\turl: url,\n\t\ttype: \"GET\",\n\t\tcallback: function(err,data) {\n\t\t\tif(!err) {\n\t\t\t\tvar tiddlers = self.wiki.deserializeTiddlers(\".tid\",data,self.wiki.getCreationFields());\n\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\ttiddler[\"_canonical_uri\"] = url;\n\t\t\t\t});\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tself.wiki.addTiddlers(tiddlers);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\n*/\nWikiParser.prototype.setupRules = function(proto,configPrefix) {\n\tvar self = this;\n\tif(!$tw.safemode) {\n\t\t$tw.utils.each(proto,function(object,name) {\n\t\t\tif(self.wiki.getTiddlerText(configPrefix + name,\"enable\") !== \"enable\") {\n\t\t\t\tdelete proto[name];\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nInstantiate an array of parse rules\n*/\nWikiParser.prototype.instantiateRules = function(classes,type,startPos) {\n\tvar rulesInfo = [],\n\t\tself = this;\n\t$tw.utils.each(classes,function(RuleClass) {\n\t\t// Instantiate the rule\n\t\tvar rule = new RuleClass(self);\n\t\trule.is = {};\n\t\trule.is[type] = true;\n\t\trule.init(self);\n\t\tvar matchIndex = rule.findNextMatch(startPos);\n\t\tif(matchIndex !== undefined) {\n\t\t\trulesInfo.push({\n\t\t\t\trule: rule,\n\t\t\t\tmatchIndex: matchIndex\n\t\t\t});\n\t\t}\n\t});\n\treturn rulesInfo;\n};\n\n/*\nSkip any whitespace at the current position. Options are:\n\ttreatNewlinesAsNonWhitespace: true if newlines are NOT to be treated as whitespace\n*/\nWikiParser.prototype.skipWhitespace = function(options) {\n\toptions = options || {};\n\tvar whitespaceRegExp = options.treatNewlinesAsNonWhitespace ? /([^\\S\\n]+)/mg : /(\\s+)/mg;\n\twhitespaceRegExp.lastIndex = this.pos;\n\tvar whitespaceMatch = whitespaceRegExp.exec(this.source);\n\tif(whitespaceMatch && whitespaceMatch.index === this.pos) {\n\t\tthis.pos = whitespaceRegExp.lastIndex;\n\t}\n};\n\n/*\nGet the next match out of an array of parse rule instances\n*/\nWikiParser.prototype.findNextMatch = function(rules,startPos) {\n\t// Find the best matching rule by finding the closest match position\n\tvar matchingRule,\n\t\tmatchingRulePos = this.sourceLength;\n\t// Step through each rule\n\tfor(var t=0; t<rules.length; t++) {\n\t\tvar ruleInfo = rules[t];\n\t\t// Ask the rule to get the next match if we've moved past the current one\n\t\tif(ruleInfo.matchIndex !== undefined  && ruleInfo.matchIndex < startPos) {\n\t\t\truleInfo.matchIndex = ruleInfo.rule.findNextMatch(startPos);\n\t\t}\n\t\t// Adopt this match if it's closer than the current best match\n\t\tif(ruleInfo.matchIndex !== undefined && ruleInfo.matchIndex <= matchingRulePos) {\n\t\t\tmatchingRule = ruleInfo;\n\t\t\tmatchingRulePos = ruleInfo.matchIndex;\n\t\t}\n\t}\n\treturn matchingRule;\n};\n\n/*\nParse any pragmas at the beginning of a block of parse text\n*/\nWikiParser.prototype.parsePragmas = function() {\n\tvar currentTreeBranch = this.tree;\n\twhile(true) {\n\t\t// Skip whitespace\n\t\tthis.skipWhitespace();\n\t\t// Check for the end of the text\n\t\tif(this.pos >= this.sourceLength) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check if we've arrived at a pragma rule match\n\t\tvar nextMatch = this.findNextMatch(this.pragmaRules,this.pos);\n\t\t// If not, just exit\n\t\tif(!nextMatch || nextMatch.matchIndex !== this.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the pragma rule\n\t\tvar subTree = nextMatch.rule.parse();\n\t\tif(subTree.length > 0) {\n\t\t\t// Quick hack; we only cope with a single parse tree node being returned, which is true at the moment\n\t\t\tcurrentTreeBranch.push.apply(currentTreeBranch,subTree);\n\t\t\tsubTree[0].children = [];\n\t\t\tcurrentTreeBranch = subTree[0].children;\n\t\t}\n\t}\n\treturn currentTreeBranch;\n};\n\n/*\nParse a block from the current position\n\tterminatorRegExpString: optional regular expression string that identifies the end of plain paragraphs. Must not include capturing parenthesis\n*/\nWikiParser.prototype.parseBlock = function(terminatorRegExpString) {\n\tvar terminatorRegExp = terminatorRegExpString ? new RegExp(\"(\" + terminatorRegExpString + \"|\\\\r?\\\\n\\\\r?\\\\n)\",\"mg\") : /(\\r?\\n\\r?\\n)/mg;\n\tthis.skipWhitespace();\n\tif(this.pos >= this.sourceLength) {\n\t\treturn [];\n\t}\n\t// Look for a block rule that applies at the current position\n\tvar nextMatch = this.findNextMatch(this.blockRules,this.pos);\n\tif(nextMatch && nextMatch.matchIndex === this.pos) {\n\t\treturn nextMatch.rule.parse();\n\t}\n\t// Treat it as a paragraph if we didn't find a block rule\n\treturn [{type: \"element\", tag: \"p\", children: this.parseInlineRun(terminatorRegExp)}];\n};\n\n/*\nParse a series of blocks of text until a terminating regexp is encountered or the end of the text\n\tterminatorRegExpString: terminating regular expression\n*/\nWikiParser.prototype.parseBlocks = function(terminatorRegExpString) {\n\tif(terminatorRegExpString) {\n\t\treturn this.parseBlocksTerminated(terminatorRegExpString);\n\t} else {\n\t\treturn this.parseBlocksUnterminated();\n\t}\n};\n\n/*\nParse a block from the current position to the end of the text\n*/\nWikiParser.prototype.parseBlocksUnterminated = function() {\n\tvar tree = [];\n\twhile(this.pos < this.sourceLength) {\n\t\ttree.push.apply(tree,this.parseBlock());\n\t}\n\treturn tree;\n};\n\n/*\nParse blocks of text until a terminating regexp is encountered\n*/\nWikiParser.prototype.parseBlocksTerminated = function(terminatorRegExpString) {\n\tvar terminatorRegExp = new RegExp(\"(\" + terminatorRegExpString + \")\",\"mg\"),\n\t\ttree = [];\n\t// Skip any whitespace\n\tthis.skipWhitespace();\n\t//  Check if we've got the end marker\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar match = terminatorRegExp.exec(this.source);\n\t// Parse the text into blocks\n\twhile(this.pos < this.sourceLength && !(match && match.index === this.pos)) {\n\t\tvar blocks = this.parseBlock(terminatorRegExpString);\n\t\ttree.push.apply(tree,blocks);\n\t\t// Skip any whitespace\n\t\tthis.skipWhitespace();\n\t\t//  Check if we've got the end marker\n\t\tterminatorRegExp.lastIndex = this.pos;\n\t\tmatch = terminatorRegExp.exec(this.source);\n\t}\n\tif(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t}\n\treturn tree;\n};\n\n/*\nParse a run of text at the current position\n\tterminatorRegExp: a regexp at which to stop the run\n\toptions: see below\nOptions available:\n\teatTerminator: move the parse position past any encountered terminator (default false)\n*/\nWikiParser.prototype.parseInlineRun = function(terminatorRegExp,options) {\n\tif(terminatorRegExp) {\n\t\treturn this.parseInlineRunTerminated(terminatorRegExp,options);\n\t} else {\n\t\treturn this.parseInlineRunUnterminated(options);\n\t}\n};\n\nWikiParser.prototype.parseInlineRunUnterminated = function(options) {\n\tvar tree = [];\n\t// Find the next occurrence of an inline rule\n\tvar nextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around the matches until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && nextMatch) {\n\t\t// Process the text preceding the run rule\n\t\tif(nextMatch.matchIndex > this.pos) {\n\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,nextMatch.matchIndex));\n\t\t\tthis.pos = nextMatch.matchIndex;\n\t\t}\n\t\t// Process the run rule\n\t\ttree.push.apply(tree,nextMatch.rule.parse());\n\t\t// Look for the next run rule\n\t\tnextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\tthis.pushTextWidget(tree,this.source.substr(this.pos));\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\nWikiParser.prototype.parseInlineRunTerminated = function(terminatorRegExp,options) {\n\toptions = options || {};\n\tvar tree = [];\n\t// Find the next occurrence of the terminator\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar terminatorMatch = terminatorRegExp.exec(this.source);\n\t// Find the next occurrence of a inlinerule\n\tvar inlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && (terminatorMatch || inlineRuleMatch)) {\n\t\t// Return if we've found the terminator, and it precedes any inline rule match\n\t\tif(terminatorMatch) {\n\t\t\tif(!inlineRuleMatch || inlineRuleMatch.matchIndex >= terminatorMatch.index) {\n\t\t\t\tif(terminatorMatch.index > this.pos) {\n\t\t\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,terminatorMatch.index));\n\t\t\t\t}\n\t\t\t\tthis.pos = terminatorMatch.index;\n\t\t\t\tif(options.eatTerminator) {\n\t\t\t\t\tthis.pos += terminatorMatch[0].length;\n\t\t\t\t}\n\t\t\t\treturn tree;\n\t\t\t}\n\t\t}\n\t\t// Process any inline rule, along with the text preceding it\n\t\tif(inlineRuleMatch) {\n\t\t\t// Preceding text\n\t\t\tif(inlineRuleMatch.matchIndex > this.pos) {\n\t\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,inlineRuleMatch.matchIndex));\n\t\t\t\tthis.pos = inlineRuleMatch.matchIndex;\n\t\t\t}\n\t\t\t// Process the inline rule\n\t\t\ttree.push.apply(tree,inlineRuleMatch.rule.parse());\n\t\t\t// Look for the next inline rule\n\t\t\tinlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t\t\t// Look for the next terminator match\n\t\t\tterminatorRegExp.lastIndex = this.pos;\n\t\t\tterminatorMatch = terminatorRegExp.exec(this.source);\n\t\t}\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\tthis.pushTextWidget(tree,this.source.substr(this.pos));\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\n/*\nPush a text widget onto an array, respecting the configTrimWhiteSpace setting\n*/\nWikiParser.prototype.pushTextWidget = function(array,text) {\n\tif(this.configTrimWhiteSpace) {\n\t\ttext = $tw.utils.trim(text);\n\t}\n\tif(text) {\n\t\tarray.push({type: \"text\", text: text});\t\t\n\t}\n};\n\n/*\nParse zero or more class specifiers `.classname`\n*/\nWikiParser.prototype.parseClasses = function() {\n\tvar classRegExp = /\\.([^\\s\\.]+)/mg,\n\t\tclassNames = [];\n\tclassRegExp.lastIndex = this.pos;\n\tvar match = classRegExp.exec(this.source);\n\twhile(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t\tclassNames.push(match[1]);\n\t\tmatch = classRegExp.exec(this.source);\n\t}\n\treturn classNames;\n};\n\n/*\nAmend the rules used by this instance of the parser\n\ttype: `only` keeps just the named rules, `except` keeps all but the named rules\n\tnames: array of rule names\n*/\nWikiParser.prototype.amendRules = function(type,names) {\n\tnames = names || [];\n\t// Define the filter function\n\tvar keepFilter;\n\tif(type === \"only\") {\n\t\tkeepFilter = function(name) {\n\t\t\treturn names.indexOf(name) !== -1;\n\t\t};\n\t} else if(type === \"except\") {\n\t\tkeepFilter = function(name) {\n\t\t\treturn names.indexOf(name) === -1;\n\t\t};\n\t} else {\n\t\treturn;\n\t}\n\t// Define a function to process each of our rule arrays\n\tvar processRuleArray = function(ruleArray) {\n\t\tfor(var t=ruleArray.length-1; t>=0; t--) {\n\t\t\tif(!keepFilter(ruleArray[t].rule.name)) {\n\t\t\t\truleArray.splice(t,1);\n\t\t\t}\n\t\t}\n\t};\n\t// Process each rule array\n\tprocessRuleArray(this.pragmaRules);\n\tprocessRuleArray(this.blockRules);\n\tprocessRuleArray(this.inlineRules);\n};\n\nexports[\"text/vnd.tiddlywiki\"] = WikiParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/parsers/wikiparser/rules/wikirulebase.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/wikirulebase.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikirulebase.js\ntype: application/javascript\nmodule-type: global\n\nBase class for wiki parser rules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nThis constructor is always overridden with a blank constructor, and so shouldn't be used\n*/\nvar WikiRuleBase = function() {\n};\n\n/*\nTo be overridden by individual rules\n*/\nWikiRuleBase.prototype.init = function(parser) {\n\tthis.parser = parser;\n};\n\n/*\nDefault implementation of findNextMatch uses RegExp matching\n*/\nWikiRuleBase.prototype.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\treturn this.match ? this.match.index : undefined;\n};\n\nexports.WikiRuleBase = WikiRuleBase;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/pluginswitcher.js": {
            "title": "$:/core/modules/pluginswitcher.js",
            "text": "/*\\\ntitle: $:/core/modules/pluginswitcher.js\ntype: application/javascript\nmodule-type: global\n\nManages switching plugins for themes and languages.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\noptions:\nwiki: wiki store to be used\npluginType: type of plugin to be switched\ncontrollerTitle: title of tiddler used to control switching of this resource\ndefaultPlugins: array of default plugins to be used if nominated plugin isn't found\nonSwitch: callback when plugin is switched (single parameter is array of plugin titles)\n*/\nfunction PluginSwitcher(options) {\n\tthis.wiki = options.wiki;\n\tthis.pluginType = options.pluginType;\n\tthis.controllerTitle = options.controllerTitle;\n\tthis.defaultPlugins = options.defaultPlugins || [];\n\tthis.onSwitch = options.onSwitch;\n\t// Switch to the current plugin\n\tthis.switchPlugins();\n\t// Listen for changes to the selected plugin\n\tvar self = this;\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,self.controllerTitle)) {\n\t\t\tself.switchPlugins();\n\t\t}\n\t});\n}\n\nPluginSwitcher.prototype.switchPlugins = function() {\n\t// Get the name of the current theme\n\tvar selectedPluginTitle = this.wiki.getTiddlerText(this.controllerTitle);\n\t// If it doesn't exist, then fallback to one of the default themes\n\tvar index = 0;\n\twhile(!this.wiki.getTiddler(selectedPluginTitle) && index < this.defaultPlugins.length) {\n\t\tselectedPluginTitle = this.defaultPlugins[index++];\n\t}\n\t// Accumulate the titles of the plugins that we need to load\n\tvar plugins = [],\n\t\tself = this,\n\t\taccumulatePlugin = function(title) {\n\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\tif(tiddler && tiddler.isPlugin() && plugins.indexOf(title) === -1) {\n\t\t\t\tplugins.push(title);\n\t\t\t\tvar pluginInfo = JSON.parse(self.wiki.getTiddlerText(title)),\n\t\t\t\t\tdependents = $tw.utils.parseStringArray(tiddler.fields.dependents || \"\");\n\t\t\t\t$tw.utils.each(dependents,function(title) {\n\t\t\t\t\taccumulatePlugin(title);\n\t\t\t\t});\n\t\t\t}\n\t\t};\n\taccumulatePlugin(selectedPluginTitle);\n\t// Read the plugin info for the incoming plugins\n\tvar changes = $tw.wiki.readPluginInfo(plugins);\n\t// Unregister any existing theme tiddlers\n\tvar unregisteredTiddlers = $tw.wiki.unregisterPluginTiddlers(this.pluginType);\n\t// Register any new theme tiddlers\n\tvar registeredTiddlers = $tw.wiki.registerPluginTiddlers(this.pluginType,plugins);\n\t// Unpack the current theme tiddlers\n\t$tw.wiki.unpackPluginTiddlers();\n\t// Call the switch handler\n\tif(this.onSwitch) {\n\t\tthis.onSwitch(plugins);\n\t}\n};\n\nexports.PluginSwitcher = PluginSwitcher;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/saver-handler.js": {
            "title": "$:/core/modules/saver-handler.js",
            "text": "/*\\\ntitle: $:/core/modules/saver-handler.js\ntype: application/javascript\nmodule-type: global\n\nThe saver handler tracks changes to the store and handles saving the entire wiki via saver modules.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInstantiate the saver handler with the following options:\nwiki: wiki to be synced\ndirtyTracking: true if dirty tracking should be performed\n*/\nfunction SaverHandler(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\tthis.dirtyTracking = options.dirtyTracking;\n\tthis.preloadDirty = options.preloadDirty || [];\n\tthis.pendingAutoSave = false;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"saver-handler\");\n\t// Initialise our savers\n\tif($tw.browser) {\n\t\tthis.initSavers();\n\t}\n\t// Only do dirty tracking if required\n\tif($tw.browser && this.dirtyTracking) {\n\t\t// Compile the dirty tiddler filter\n\t\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t\t// Count of changes that have not yet been saved\n\t\tvar filteredChanges = self.filterFn.call(self.wiki,function(iterator) {\n\t\t\t\t$tw.utils.each(self.preloadDirty,function(title) {\n\t\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\t\titerator(tiddler,title);\n\t\t\t\t});\n\t\t});\n\t\tthis.numChanges = filteredChanges.length;\n\t\t// Listen out for changes to tiddlers\n\t\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\t\t// Filter the changes so that we only count changes to tiddlers that we care about\n\t\t\tvar filteredChanges = self.filterFn.call(self.wiki,function(iterator) {\n\t\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\t\titerator(tiddler,title);\n\t\t\t\t});\n\t\t\t});\n\t\t\t// Adjust the number of changes\n\t\t\tself.numChanges += filteredChanges.length;\n\t\t\tself.updateDirtyStatus();\n\t\t\t// Do any autosave if one is pending and there's no more change events\n\t\t\tif(self.pendingAutoSave && self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tself.pendingAutoSave = false;\n\t\t\t}\n\t\t});\n\t\t// Listen for the autosave event\n\t\t$tw.rootWidget.addEventListener(\"tm-auto-save-wiki\",function(event) {\n\t\t\t// Do the autosave unless there are outstanding tiddler change events\n\t\t\tif(self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise put ourselves in the \"pending autosave\" state and wait for the change event before we do the autosave\n\t\t\t\tself.pendingAutoSave = true;\n\t\t\t}\n\t\t});\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t}\n\t// Install the save action handlers\n\tif($tw.browser) {\n\t\t$tw.rootWidget.addEventListener(\"tm-save-wiki\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-download-file\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\tmethod: \"download\",\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t}\n}\n\nSaverHandler.prototype.titleSyncFilter = \"$:/config/SaverFilter\";\nSaverHandler.prototype.titleAutoSave = \"$:/config/AutoSave\";\nSaverHandler.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\n\n/*\nSelect the appropriate saver modules and set them up\n*/\nSaverHandler.prototype.initSavers = function(moduleType) {\n\tmoduleType = moduleType || \"saver\";\n\t// Instantiate the available savers\n\tthis.savers = [];\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tif(module.canSave(self)) {\n\t\t\tself.savers.push(module.create(self.wiki));\n\t\t}\n\t});\n\t// Sort the savers into priority order\n\tthis.savers.sort(function(a,b) {\n\t\tif(a.info.priority < b.info.priority) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(a.info.priority > b.info.priority) {\n\t\t\t\treturn +1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nSave the wiki contents. Options are:\n\tmethod: \"save\", \"autosave\" or \"download\"\n\ttemplate: the tiddler containing the template to save\n\tdownloadType: the content type for the saved file\n*/\nSaverHandler.prototype.saveWiki = function(options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tmethod = options.method || \"save\";\n\t// Ignore autosave if disabled\n\tif(method === \"autosave\" && this.wiki.getTiddlerText(this.titleAutoSave,\"yes\") !== \"yes\") {\n\t\treturn false;\n\t}\n\tvar\tvariables = options.variables || {},\n\t\ttemplate = options.template || \"$:/core/save/all\",\n\t\tdownloadType = options.downloadType || \"text/plain\",\n\t\ttext = this.wiki.renderTiddler(downloadType,template,options),\n\t\tcallback = function(err) {\n\t\t\tif(err) {\n\t\t\t\talert($tw.language.getString(\"Error/WhileSaving\") + \":\\n\\n\" + err);\n\t\t\t} else {\n\t\t\t\t// Clear the task queue if we're saving (rather than downloading)\n\t\t\t\tif(method !== \"download\") {\n\t\t\t\t\tself.numChanges = 0;\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t}\n\t\t\t\t$tw.notifier.display(self.titleSavedNotification);\n\t\t\t\tif(options.callback) {\n\t\t\t\t\toptions.callback();\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t// Call the highest priority saver that supports this method\n\tfor(var t=this.savers.length-1; t>=0; t--) {\n\t\tvar saver = this.savers[t];\n\t\tif(saver.info.capabilities.indexOf(method) !== -1 && saver.save(text,method,callback,{variables: {filename: variables.filename}})) {\n\t\t\tthis.logger.log(\"Saving wiki with method\",method,\"through saver\",saver.info.name);\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSaverHandler.prototype.isDirty = function() {\n\treturn this.numChanges > 0;\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSaverHandler.prototype.updateDirtyStatus = function() {\n\tif($tw.browser) {\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",this.isDirty());\n\t}\n};\n\nexports.SaverHandler = SaverHandler;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/savers/andtidwiki.js": {
            "title": "$:/core/modules/savers/andtidwiki.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/andtidwiki.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the AndTidWiki Android app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar AndTidWiki = function(wiki) {\n};\n\nAndTidWiki.prototype.save = function(text,method,callback,options) {\n\tvar filename = options && options.variables ? options.variables.filename : null;\n\tif (method === \"download\") {\n\t\t// Support download\n\t\tif (window.twi.saveDownload) {\n\t\t\ttry {\n\t\t\t\twindow.twi.saveDownload(text,filename);\n\t\t\t} catch(err) {\n\t\t\t\tif (err.message === \"Method not found\") {\n\t\t\t\t\twindow.twi.saveDownload(text);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tvar link = document.createElement(\"a\");\n\t\t\tlink.setAttribute(\"href\",\"data:text/plain,\" + encodeURIComponent(text));\n\t\t\tif (filename) {\n\t\t\t    link.setAttribute(\"download\",filename);\n\t\t\t}\n\t\t\tdocument.body.appendChild(link);\n\t\t\tlink.click();\n\t\t\tdocument.body.removeChild(link);\n\t\t}\n\t} else if (window.twi.saveWiki) {\n\t\t// Direct save in Tiddloid\n\t\twindow.twi.saveWiki(text);\n\t} else {\n\t\t// Get the pathname of this document\n\t\tvar pathname = decodeURIComponent(document.location.toString().split(\"#\")[0]);\n\t\t// Strip the file://\n\t\tif(pathname.indexOf(\"file://\") === 0) {\n\t\t\tpathname = pathname.substr(7);\n\t\t}\n\t\t// Strip any query or location part\n\t\tvar p = pathname.indexOf(\"?\");\n\t\tif(p !== -1) {\n\t\t\tpathname = pathname.substr(0,p);\n\t\t}\n\t\tp = pathname.indexOf(\"#\");\n\t\tif(p !== -1) {\n\t\t\tpathname = pathname.substr(0,p);\n\t\t}\n\t\t// Save the file\n\t\twindow.twi.saveFile(pathname,text);\n\t}\n\t// Call the callback\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nAndTidWiki.prototype.info = {\n\tname: \"andtidwiki\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.twi && !!window.twi.saveFile;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new AndTidWiki(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/beaker.js": {
            "title": "$:/core/modules/savers/beaker.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/beaker.js\ntype: application/javascript\nmodule-type: saver\n\nSaves files using the Beaker browser's (https://beakerbrowser.com) Dat protocol (https://datproject.org/)\nCompatible with beaker >= V0.7.2\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet up the saver\n*/\nvar BeakerSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nBeakerSaver.prototype.save = function(text,method,callback) {\n\tvar dat = new DatArchive(\"\" + window.location),\n\t\tpathname = (\"\" + window.location.pathname).split(\"#\")[0];\n\tdat.stat(pathname).then(function(value) {\n\t\tif(value.isDirectory()) {\n\t\t\tpathname = pathname + \"/index.html\";\n\t\t}\n\t\tdat.writeFile(pathname,text,\"utf8\").then(function(value) {\n\t\t\tcallback(null);\n\t\t},function(reason) {\n\t\t\tcallback(\"Beaker Saver Write Error: \" + reason);\n\t\t});\n\t},function(reason) {\n\t\tcallback(\"Beaker Saver Stat Error: \" + reason);\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nBeakerSaver.prototype.info = {\n\tname: \"beaker\",\n\tpriority: 3000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.DatArchive && location.protocol===\"dat:\";\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new BeakerSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/download.js": {
            "title": "$:/core/modules/savers/download.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/download.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar DownloadSaver = function(wiki) {\n};\n\nDownloadSaver.prototype.save = function(text,method,callback,options) {\n\toptions = options || {};\n\t// Get the current filename\n\tvar filename = options.variables.filename;\n\tif(!filename) {\n\t\tvar p = document.location.pathname.lastIndexOf(\"/\");\n\t\tif(p !== -1) {\n\t\t\t// We decode the pathname because document.location is URL encoded by the browser\n\t\t\tfilename = decodeURIComponent(document.location.pathname.substr(p+1));\n\t\t}\n\t}\n\tif(!filename) {\n\t\tfilename = \"tiddlywiki.html\";\n\t}\n\t// Set up the link\n\tvar link = document.createElement(\"a\");\n\tif(Blob !== undefined) {\n\t\tvar blob = new Blob([text], {type: \"text/html\"});\n\t\tlink.setAttribute(\"href\", URL.createObjectURL(blob));\n\t} else {\n\t\tlink.setAttribute(\"href\",\"data:text/html,\" + encodeURIComponent(text));\n\t}\n\tlink.setAttribute(\"download\",filename);\n\tdocument.body.appendChild(link);\n\tlink.click();\n\tdocument.body.removeChild(link);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nDownloadSaver.prototype.info = {\n\tname: \"download\",\n\tpriority: 100\n};\n\nObject.defineProperty(DownloadSaver.prototype.info, \"capabilities\", {\n\tget: function() {\n\t\tvar capabilities = [\"save\", \"download\"];\n\t\tif(($tw.wiki.getTextReference(\"$:/config/DownloadSaver/AutoSave\") || \"\").toLowerCase() === \"yes\") {\n\t\t\tcapabilities.push(\"autosave\");\n\t\t}\n\t\treturn capabilities;\n\t}\n});\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn document.createElement(\"a\").download !== undefined;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new DownloadSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/fsosaver.js": {
            "title": "$:/core/modules/savers/fsosaver.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/fsosaver.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via MS FileSystemObject ActiveXObject\n\nNote: Since TiddlyWiki's markup contains the MOTW, the FileSystemObject normally won't be available. \nHowever, if the wiki is loaded as an .HTA file (Windows HTML Applications) then the FSO can be used.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar FSOSaver = function(wiki) {\n};\n\nFSOSaver.prototype.save = function(text,method,callback) {\n\t// Get the pathname of this document\n\tvar pathname = unescape(document.location.pathname);\n\t// Test for a Windows path of the form /x:\\blah...\n\tif(/^\\/[A-Z]\\:\\\\[^\\\\]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t} else if(document.location.hostname !== \"\" && /^\\/\\\\[^\\\\]+\\\\[^\\\\]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t\t// reconstruct UNC path\n\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t} else {\n\t\treturn false;\n\t}\n\t// Save the file (as UTF-16)\n\tvar fso = new ActiveXObject(\"Scripting.FileSystemObject\");\n\tvar file = fso.OpenTextFile(pathname,2,-1,-1);\n\tfile.Write(text);\n\tfile.Close();\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nFSOSaver.prototype.info = {\n\tname: \"FSOSaver\",\n\tpriority: 120,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\ttry {\n\t\treturn (window.location.protocol === \"file:\") && !!(new ActiveXObject(\"Scripting.FileSystemObject\"));\n\t} catch(e) { return false; }\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new FSOSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/gitea.js": {
            "title": "$:/core/modules/savers/gitea.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/gitea.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the gitea\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GiteaSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGiteaSaver.prototype.save = function(text,method,callback) {\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/Gitea/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"Gitea\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/Gitea/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/Gitea/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/Gitea/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/Gitea/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/Gitea/ServerURL\") || \"https://gitea\",\n\t\theaders = {\n\t\t\t\"Accept\": \"application/json\",\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Authorization\": \"Basic \" + window.btoa(username + \":\" + password)\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !path || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/repos/\" + repo + \"/contents\" + path;\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tdata: {\n\t\t\tref: branch\n\t\t},\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar use_put = true;\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tif(sha === \"\"){\n\t\t\t\t\tuse_put = false;\n\t\t\t\t}\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tmessage: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: $tw.utils.base64Encode(text),\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: endpoint + \"/repos/\" + repo + \"/branches/\" + branch,\n\t\t\t\ttype: \"GET\",\n\t\t\t\theaders: headers,\n\t\t\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\t\t\tif(xhr.status === 404) {\n\t\t\t\t\t\tcallback(\"Please ensure the branch in the Gitea repo exists\");\n\t\t\t\t\t}else{\n\t\t\t\t\t\tdata[\"branch\"] = branch;\n\t\t\t\t\t\tself.upload(uri + filename, use_put?\"PUT\":\"POST\", headers, data, callback);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\nGiteaSaver.prototype.upload = function(uri,method,headers,data,callback) {\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: method,\n\t\theaders: headers,\n\t\tdata: JSON.stringify(data),\n\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\tcallback(null);\n\t\t}\n\t});\n};\n\n/*\nInformation about this saver\n*/\nGiteaSaver.prototype.info = {\n\tname: \"Gitea\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GiteaSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/github.js": {
            "title": "$:/core/modules/savers/github.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/github.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the GitHub v3 REST API\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GitHubSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGitHubSaver.prototype.save = function(text,method,callback) {\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/GitHub/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"github\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/GitHub/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/GitHub/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/GitHub/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/GitHub/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/GitHub/ServerURL\") || \"https://api.github.com\",\n\t\theaders = {\n\t\t\t\"Accept\": \"application/vnd.github.v3+json\",\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Authorization\": \"Basic \" + window.btoa(username + \":\" + password)\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !path || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/repos/\" + repo + \"/contents\" + path;\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tdata: {\n\t\t\tref: branch\n\t\t},\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tmessage: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: $tw.utils.base64Encode(text),\n\t\t\t\tbranch: branch,\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t// Perform a PUT request to save the file\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: uri + filename,\n\t\t\t\ttype: \"PUT\",\n\t\t\t\theaders: headers,\n\t\t\t\tdata: JSON.stringify(data),\n\t\t\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\treturn callback(err);\n\t\t\t\t\t}\n\t\t\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\t\t\tcallback(null);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nGitHubSaver.prototype.info = {\n\tname: \"github\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GitHubSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/gitlab.js": {
            "title": "$:/core/modules/savers/gitlab.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/gitlab.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the GitLab REST API\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: true */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GitLabSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGitLabSaver.prototype.save = function(text,method,callback) {\n\t/* See https://docs.gitlab.com/ee/api/repository_files.html */\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/GitLab/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"gitlab\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/GitLab/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/GitLab/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/GitLab/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/GitLab/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/GitLab/ServerURL\") || \"https://gitlab.com/api/v4\",\n\t\theaders = {\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Private-Token\": password\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !path || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/projects/\" + encodeURIComponent(repo) + \"/repository/\";\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri + \"tree/?path=\" + encodeURIComponent(path.replace(/^\\/+|\\/$/g, '')) + \"&branch=\" + encodeURIComponent(branch.replace(/^\\/+|\\/$/g, '')),\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar requestType = \"POST\";\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\trequestType = \"PUT\";\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tcommit_message: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: text,\n\t\t\t\tbranch: branch,\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t// Perform a request to save the file\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: uri + \"files/\" + encodeURIComponent(path.replace(/^\\/+/, '') + filename),\n\t\t\t\ttype: requestType,\n\t\t\t\theaders: headers,\n\t\t\t\tdata: JSON.stringify(data),\n\t\t\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\treturn callback(err);\n\t\t\t\t\t}\n\t\t\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\t\t\tcallback(null);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nGitLabSaver.prototype.info = {\n\tname: \"gitlab\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GitLabSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/manualdownload.js": {
            "title": "$:/core/modules/savers/manualdownload.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/manualdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Title of the tiddler containing the download message\nvar downloadInstructionsTitle = \"$:/language/Modals/Download\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar ManualDownloadSaver = function(wiki) {\n};\n\nManualDownloadSaver.prototype.save = function(text,method,callback) {\n\t$tw.modal.display(downloadInstructionsTitle,{\n\t\tdownloadLink: \"data:text/html,\" + encodeURIComponent(text)\n\t});\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nManualDownloadSaver.prototype.info = {\n\tname: \"manualdownload\",\n\tpriority: 0,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new ManualDownloadSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/msdownload.js": {
            "title": "$:/core/modules/savers/msdownload.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/msdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via window.navigator.msSaveBlob()\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar MsDownloadSaver = function(wiki) {\n};\n\nMsDownloadSaver.prototype.save = function(text,method,callback) {\n\t// Get the current filename\n\tvar filename = \"tiddlywiki.html\",\n\t\tp = document.location.pathname.lastIndexOf(\"/\");\n\tif(p !== -1) {\n\t\tfilename = document.location.pathname.substr(p+1);\n\t}\n\t// Set up the link\n\tvar blob = new Blob([text], {type: \"text/html\"});\n\twindow.navigator.msSaveBlob(blob,filename);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nMsDownloadSaver.prototype.info = {\n\tname: \"msdownload\",\n\tpriority: 110,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.navigator.msSaveBlob;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new MsDownloadSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/put.js": {
            "title": "$:/core/modules/savers/put.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/put.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by performing a PUT request to the server\n\nWorks with any server which accepts a PUT request\nto the current URL, such as a WebDAV server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRetrieve ETag if available\n*/\nvar retrieveETag = function(self) {\n\tvar headers = {\n\t\tAccept: \"*/*;charset=UTF-8\"\n\t};\n\t$tw.utils.httpRequest({\n\t\turl: self.uri(),\n\t\ttype: \"HEAD\",\n\t\theaders: headers,\n\t\tcallback: function(err,data,xhr) {\n\t\t\tif(err) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tvar etag = xhr.getResponseHeader(\"ETag\");\n\t\t\tif(!etag) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tself.etag = etag.replace(/^W\\//,\"\");\n\t\t}\n\t});\n};\n\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar PutSaver = function(wiki) {\n\tthis.wiki = wiki;\n\tvar self = this;\n\tvar uri = this.uri();\n\t// Async server probe. Until probe finishes, save will fail fast\n\t// See also https://github.com/Jermolene/TiddlyWiki5/issues/2276\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"OPTIONS\",\n\t\tcallback: function(err,data,xhr) {\n\t\t\t// Check DAV header http://www.webdav.org/specs/rfc2518.html#rfc.section.9.1\n\t\t\tif(!err) {\n\t\t\t\tself.serverAcceptsPuts = xhr.status === 200 && !!xhr.getResponseHeader(\"dav\");\n\t\t\t}\n\t\t}\n\t});\n\tretrieveETag(this);\n};\n\nPutSaver.prototype.uri = function() {\n\treturn document.location.toString().split(\"#\")[0];\n};\n\n// TODO: in case of edit conflict\n// Prompt: Do you want to save over this? Y/N\n// Merging would be ideal, and may be possible using future generic merge flow\nPutSaver.prototype.save = function(text,method,callback) {\n\tif(!this.serverAcceptsPuts) {\n\t\treturn false;\n\t}\n\tvar self = this;\n\tvar headers = {\n\t\t\"Content-Type\": \"text/html;charset=UTF-8\"\n\t};\n\tif(this.etag) {\n\t\theaders[\"If-Match\"] = this.etag;\n\t}\n\t$tw.utils.httpRequest({\n\t\turl: this.uri(),\n\t\ttype: \"PUT\",\n\t\theaders: headers,\n\t\tdata: text,\n\t\tcallback: function(err,data,xhr) {\n\t\t\tif(err) {\n\t\t\t\t// response is textual: \"XMLHttpRequest error code: 412\"\n\t\t\t\tvar status = Number(err.substring(err.indexOf(':') + 2, err.length))\n\t\t\t\tif(status === 412) { // edit conflict\n\t\t\t\t\tvar message = $tw.language.getString(\"Error/EditConflict\");\n\t\t\t\t\tcallback(message);\n\t\t\t\t} else {\n\t\t\t\t\tcallback(err); // fail\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tself.etag = xhr.getResponseHeader(\"ETag\");\n\t\t\t\tif(self.etag == null) {\n\t\t\t\t\tretrieveETag(self);\n\t\t\t\t}\n\t\t\t\tcallback(null); // success\n\t\t\t}\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nPutSaver.prototype.info = {\n\tname: \"put\",\n\tpriority: 2000,\n\tcapabilities: [\"save\",\"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn /^https?:/.test(location.protocol);\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new PutSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/tiddlyfox.js": {
            "title": "$:/core/modules/savers/tiddlyfox.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/tiddlyfox.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TiddlyFox file extension\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TiddlyFoxSaver = function(wiki) {\n};\n\nTiddlyFoxSaver.prototype.save = function(text,method,callback) {\n\tvar messageBox = document.getElementById(\"tiddlyfox-message-box\");\n\tif(messageBox) {\n\t\t// Get the pathname of this document\n\t\tvar pathname = document.location.toString().split(\"#\")[0];\n\t\t// Replace file://localhost/ with file:///\n\t\tif(pathname.indexOf(\"file://localhost/\") === 0) {\n\t\t\tpathname = \"file://\" + pathname.substr(16);\n\t\t}\n\t\t// Windows path file:///x:/blah/blah --> x:\\blah\\blah\n\t\tif(/^file\\:\\/\\/\\/[A-Z]\\:\\//i.test(pathname)) {\n\t\t\t// Remove the leading slash and convert slashes to backslashes\n\t\t\tpathname = pathname.substr(8).replace(/\\//g,\"\\\\\");\n\t\t// Firefox Windows network path file://///server/share/blah/blah --> //server/share/blah/blah\n\t\t} else if(pathname.indexOf(\"file://///\") === 0) {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(10)).replace(/\\//g,\"\\\\\");\n\t\t// Mac/Unix local path file:///path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:///\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(7));\n\t\t// Mac/Unix local path file:/path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:/\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(5));\n\t\t// Otherwise Windows networth path file://server/share/path/path --> \\\\server\\share\\path\\path\n\t\t} else {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(7)).replace(new RegExp(\"/\",\"g\"),\"\\\\\");\n\t\t}\n\t\t// Create the message element and put it in the message box\n\t\tvar message = document.createElement(\"div\");\n\t\tmessage.setAttribute(\"data-tiddlyfox-path\",decodeURIComponent(pathname));\n\t\tmessage.setAttribute(\"data-tiddlyfox-content\",text);\n\t\tmessageBox.appendChild(message);\n\t\t// Add an event handler for when the file has been saved\n\t\tmessage.addEventListener(\"tiddlyfox-have-saved-file\",function(event) {\n\t\t\tcallback(null);\n\t\t}, false);\n\t\t// Create and dispatch the custom event to the extension\n\t\tvar event = document.createEvent(\"Events\");\n\t\tevent.initEvent(\"tiddlyfox-save-file\",true,false);\n\t\tmessage.dispatchEvent(event);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyFoxSaver.prototype.info = {\n\tname: \"tiddlyfox\",\n\tpriority: 1500,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyFoxSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/tiddlyie.js": {
            "title": "$:/core/modules/savers/tiddlyie.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/tiddlyie.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via Internet Explorer BHO extenion (TiddlyIE)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar TiddlyIESaver = function(wiki) {\n};\n\nTiddlyIESaver.prototype.save = function(text,method,callback) {\n\t// Check existence of TiddlyIE BHO extension (note: only works after document is complete)\n\tif(typeof(window.TiddlyIE) != \"undefined\") {\n\t\t// Get the pathname of this document\n\t\tvar pathname = unescape(document.location.pathname);\n\t\t// Test for a Windows path of the form /x:/blah...\n\t\tif(/^\\/[A-Z]\\:\\/[^\\/]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+ (is this better?: ^/[a-z]:/[^/]+(/[^/]+)*\\.[^/]+ )\n\t\t\t// Remove the leading slash\n\t\t\tpathname = pathname.substr(1);\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t} else if(document.hostname !== \"\" && /^\\/[^\\/]+\\/[^\\/]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t\t// reconstruct UNC path\n\t\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t\t} else return false;\n\t\t// Prompt the user to save the file\n\t\twindow.TiddlyIE.save(pathname, text);\n\t\t// Callback that we succeeded\n\t\tcallback(null);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyIESaver.prototype.info = {\n\tname: \"tiddlyiesaver\",\n\tpriority: 1500,\n\tcapabilities: [\"save\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn (window.location.protocol === \"file:\");\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyIESaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/twedit.js": {
            "title": "$:/core/modules/savers/twedit.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/twedit.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TWEdit iOS app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TWEditSaver = function(wiki) {\n};\n\nTWEditSaver.prototype.save = function(text,method,callback) {\n\t// Bail if we're not running under TWEdit\n\tif(typeof DeviceInfo !== \"object\") {\n\t\treturn false;\n\t}\n\t// Get the pathname of this document\n\tvar pathname = decodeURIComponent(document.location.pathname);\n\t// Strip any query or location part\n\tvar p = pathname.indexOf(\"?\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\tp = pathname.indexOf(\"#\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\t// Remove the leading \"/Documents\" from path\n\tvar prefix = \"/Documents\";\n\tif(pathname.indexOf(prefix) === 0) {\n\t\tpathname = pathname.substr(prefix.length);\n\t}\n\t// Error handler\n\tvar errorHandler = function(event) {\n\t\t// Error\n\t\tcallback($tw.language.getString(\"Error/SavingToTWEdit\") + \": \" + event.target.error.code);\n\t};\n\t// Get the file system\n\twindow.requestFileSystem(LocalFileSystem.PERSISTENT,0,function(fileSystem) {\n\t\t// Now we've got the filesystem, get the fileEntry\n\t\tfileSystem.root.getFile(pathname, {create: true}, function(fileEntry) {\n\t\t\t// Now we've got the fileEntry, create the writer\n\t\t\tfileEntry.createWriter(function(writer) {\n\t\t\t\twriter.onerror = errorHandler;\n\t\t\t\twriter.onwrite = function() {\n\t\t\t\t\tcallback(null);\n\t\t\t\t};\n\t\t\t\twriter.position = 0;\n\t\t\t\twriter.write(text);\n\t\t\t},errorHandler);\n\t\t}, errorHandler);\n\t}, errorHandler);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nTWEditSaver.prototype.info = {\n\tname: \"twedit\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TWEditSaver(wiki);\n};\n\n/////////////////////////// Hack\n// HACK: This ensures that TWEdit recognises us as a TiddlyWiki document\nif($tw.browser) {\n\twindow.version = {title: \"TiddlyWiki\"};\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/upload.js": {
            "title": "$:/core/modules/savers/upload.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/upload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via upload to a server.\n\nDesigned to be compatible with BidiX's UploadPlugin at http://tiddlywiki.bidix.info/#UploadPlugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar UploadSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nUploadSaver.prototype.save = function(text,method,callback) {\n\t// Get the various parameters we need\n\tvar backupDir = this.wiki.getTextReference(\"$:/UploadBackupDir\") || \".\",\n\t\tusername = this.wiki.getTextReference(\"$:/UploadName\"),\n\t\tpassword = $tw.utils.getPassword(\"upload\"),\n\t\tuploadDir = this.wiki.getTextReference(\"$:/UploadDir\") || \".\",\n\t\tuploadFilename = this.wiki.getTextReference(\"$:/UploadFilename\") || \"index.html\",\n\t\turl = this.wiki.getTextReference(\"$:/UploadURL\");\n\t// Bail out if we don't have the bits we need\n\tif(!username || username.toString().trim() === \"\" || !password || password.toString().trim() === \"\") {\n\t\treturn false;\n\t}\n\t// Construct the url if not provided\n\tif(!url) {\n\t\turl = \"http://\" + username + \".tiddlyspot.com/store.cgi\";\n\t}\n\t// Assemble the header\n\tvar boundary = \"---------------------------\" + \"AaB03x\";\t\n\tvar uploadFormName = \"UploadPlugin\";\n\tvar head = [];\n\thead.push(\"--\" + boundary + \"\\r\\nContent-disposition: form-data; name=\\\"UploadPlugin\\\"\\r\\n\");\n\thead.push(\"backupDir=\" + backupDir + \";user=\" + username + \";password=\" + password + \";uploaddir=\" + uploadDir + \";;\"); \n\thead.push(\"\\r\\n\" + \"--\" + boundary);\n\thead.push(\"Content-disposition: form-data; name=\\\"userfile\\\"; filename=\\\"\" + uploadFilename + \"\\\"\");\n\thead.push(\"Content-Type: text/html;charset=UTF-8\");\n\thead.push(\"Content-Length: \" + text.length + \"\\r\\n\");\n\thead.push(\"\");\n\t// Assemble the tail and the data itself\n\tvar tail = \"\\r\\n--\" + boundary + \"--\\r\\n\",\n\t\tdata = head.join(\"\\r\\n\") + text + tail;\n\t// Do the HTTP post\n\tvar http = new XMLHttpRequest();\n\thttp.open(\"POST\",url,true,username,password);\n\thttp.setRequestHeader(\"Content-Type\",\"multipart/form-data; charset=UTF-8; boundary=\" + boundary);\n\thttp.onreadystatechange = function() {\n\t\tif(http.readyState == 4 && http.status == 200) {\n\t\t\tif(http.responseText.substr(0,4) === \"0 - \") {\n\t\t\t\tcallback(null);\n\t\t\t} else {\n\t\t\t\tcallback(http.responseText);\n\t\t\t}\n\t\t}\n\t};\n\ttry {\n\t\thttp.send(data);\n\t} catch(ex) {\n\t\treturn callback($tw.language.getString(\"Error/Caption\") + \":\" + ex);\n\t}\n\t$tw.notifier.display(\"$:/language/Notifications/Save/Starting\");\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nUploadSaver.prototype.info = {\n\tname: \"upload\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new UploadSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/server/authenticators/basic.js": {
            "title": "$:/core/modules/server/authenticators/basic.js",
            "text": "/*\\\ntitle: $:/core/modules/server/authenticators/basic.js\ntype: application/javascript\nmodule-type: authenticator\n\nAuthenticator for WWW basic authentication\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nif($tw.node) {\n\tvar util = require(\"util\"),\n\t\tfs = require(\"fs\"),\n\t\turl = require(\"url\"),\n\t\tpath = require(\"path\");\n}\n\nfunction BasicAuthenticator(server) {\n\tthis.server = server;\n\tthis.credentialsData = [];\n}\n\n/*\nReturns true if the authenticator is active, false if it is inactive, or a string if there is an error\n*/\nBasicAuthenticator.prototype.init = function() {\n\t// Read the credentials data\n\tthis.credentialsFilepath = this.server.get(\"credentials\");\n\tif(this.credentialsFilepath) {\n\t\tvar resolveCredentialsFilepath = path.resolve($tw.boot.wikiPath,this.credentialsFilepath);\n\t\tif(fs.existsSync(resolveCredentialsFilepath) && !fs.statSync(resolveCredentialsFilepath).isDirectory()) {\n\t\t\tvar credentialsText = fs.readFileSync(resolveCredentialsFilepath,\"utf8\"),\n\t\t\t\tcredentialsData = $tw.utils.parseCsvStringWithHeader(credentialsText);\n\t\t\tif(typeof credentialsData === \"string\") {\n\t\t\t\treturn \"Error: \" + credentialsData + \" reading credentials from '\" + resolveCredentialsFilepath + \"'\";\n\t\t\t} else {\n\t\t\t\tthis.credentialsData = credentialsData;\n\t\t\t}\n\t\t} else {\n\t\t\treturn \"Error: Unable to load user credentials from '\" + resolveCredentialsFilepath + \"'\";\n\t\t}\n\t}\n\t// Add the hardcoded username and password if specified\n\tif(this.server.get(\"username\") && this.server.get(\"password\")) {\n\t\tthis.credentialsData = this.credentialsData || [];\n\t\tthis.credentialsData.push({\n\t\t\tusername: this.server.get(\"username\"),\n\t\t\tpassword: this.server.get(\"password\")\n\t\t});\n\t}\n\treturn this.credentialsData.length > 0;\n};\n\n/*\nReturns true if the request is authenticated and assigns the \"authenticatedUsername\" state variable.\nReturns false if the request couldn't be authenticated having sent an appropriate response to the browser\n*/\nBasicAuthenticator.prototype.authenticateRequest = function(request,response,state) {\n\t// Extract the incoming username and password from the request\n\tvar header = request.headers.authorization || \"\";\n\tif(!header && state.allowAnon) {\n\t\t// If there's no header and anonymous access is allowed then we don't set authenticatedUsername\n\t\treturn true;\n\t}\n\tvar token = header.split(/\\s+/).pop() || \"\",\n\t\tauth = $tw.utils.base64Decode(token),\n\t\tparts = auth.split(/:/),\n\t\tincomingUsername = parts[0],\n\t\tincomingPassword = parts[1];\n\t// Check that at least one of the credentials matches\n\tvar matchingCredentials = this.credentialsData.find(function(credential) {\n\t\treturn credential.username === incomingUsername && credential.password === incomingPassword;\n\t});\n\tif(matchingCredentials) {\n\t\t// If so, add the authenticated username to the request state\n\t\tstate.authenticatedUsername = incomingUsername;\n\t\treturn true;\n\t} else {\n\t\t// If not, return an authentication challenge\n\t\tresponse.writeHead(401,\"Authentication required\",{\n\t\t\t\"WWW-Authenticate\": 'Basic realm=\"Please provide your username and password to login to ' + state.server.servername + '\"'\n\t\t});\n\t\tresponse.end();\n\t\treturn false;\n\t}\n};\n\nexports.AuthenticatorClass = BasicAuthenticator;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "authenticator"
        },
        "$:/core/modules/server/authenticators/header.js": {
            "title": "$:/core/modules/server/authenticators/header.js",
            "text": "/*\\\ntitle: $:/core/modules/server/authenticators/header.js\ntype: application/javascript\nmodule-type: authenticator\n\nAuthenticator for trusted header authentication\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction HeaderAuthenticator(server) {\n\tthis.server = server;\n\tthis.header = server.get(\"authenticated-user-header\");\n}\n\n/*\nReturns true if the authenticator is active, false if it is inactive, or a string if there is an error\n*/\nHeaderAuthenticator.prototype.init = function() {\n\treturn !!this.header;\n};\n\n/*\nReturns true if the request is authenticated and assigns the \"authenticatedUsername\" state variable.\nReturns false if the request couldn't be authenticated having sent an appropriate response to the browser\n*/\nHeaderAuthenticator.prototype.authenticateRequest = function(request,response,state) {\n\t// Otherwise, authenticate as the username in the specified header\n\tvar username = request.headers[this.header];\n\tif(!username && !state.allowAnon) {\n\t\tresponse.writeHead(401,\"Authorization header required to login to '\" + state.server.servername + \"'\");\n\t\tresponse.end();\n\t\treturn false;\n\t} else {\n\t\t// authenticatedUsername will be undefined for anonymous users\n\t\tstate.authenticatedUsername = username;\n\t\treturn true;\n\t}\n};\n\nexports.AuthenticatorClass = HeaderAuthenticator;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "authenticator"
        },
        "$:/core/modules/server/routes/delete-tiddler.js": {
            "title": "$:/core/modules/server/routes/delete-tiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/delete-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nDELETE /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"DELETE\";\n\nexports.path = /^\\/bags\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]);\n\tstate.wiki.deleteTiddler(title);\n\tresponse.writeHead(204, \"OK\", {\n\t\t\"Content-Type\": \"text/plain\"\n\t});\n\tresponse.end();\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/get-favicon.js": {
            "title": "$:/core/modules/server/routes/get-favicon.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/get-favicon.js\ntype: application/javascript\nmodule-type: route\n\nGET /favicon.ico\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/favicon.ico$/;\n\nexports.handler = function(request,response,state) {\n\tresponse.writeHead(200, {\"Content-Type\": \"image/x-icon\"});\n\tvar buffer = state.wiki.getTiddlerText(\"$:/favicon.ico\",\"\");\n\tresponse.end(buffer,\"base64\");\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/get-file.js": {
            "title": "$:/core/modules/server/routes/get-file.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/get-file.js\ntype: application/javascript\nmodule-type: route\n\nGET /files/:filepath\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/files\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar path = require(\"path\"),\n\t\tfs = require(\"fs\"),\n\t\tutil = require(\"util\"),\n\t\tsuppliedFilename = decodeURIComponent(state.params[0]),\n\t\tfilename = path.resolve($tw.boot.wikiPath,\"files\",suppliedFilename),\n\t\textension = path.extname(filename);\n\tfs.readFile(filename,function(err,content) {\n\t\tvar status,content,type = \"text/plain\";\n\t\tif(err) {\n\t\t\tconsole.log(\"Error accessing file \" + filename + \": \" + err.toString());\n\t\t\tstatus = 404;\n\t\t\tcontent = \"File '\" + suppliedFilename + \"' not found\";\n\t\t} else {\n\t\t\tstatus = 200;\n\t\t\tcontent = content;\n\t\t\ttype = ($tw.config.fileExtensionInfo[extension] ? $tw.config.fileExtensionInfo[extension].type : \"application/octet-stream\");\n\t\t}\n\t\tresponse.writeHead(status,{\n\t\t\t\"Content-Type\": type\n\t\t});\n\t\tresponse.end(content);\n\t});\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/get-index.js": {
            "title": "$:/core/modules/server/routes/get-index.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/get-index.js\ntype: application/javascript\nmodule-type: route\n\nGET /\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar zlib = require(\"zlib\");\n\nexports.method = \"GET\";\n\nexports.path = /^\\/$/;\n\nexports.handler = function(request,response,state) {\n\tvar acceptEncoding = request.headers[\"accept-encoding\"];\n\tif(!acceptEncoding) {\n\t\tacceptEncoding = \"\";\n\t}\n\tvar text = state.wiki.renderTiddler(state.server.get(\"root-render-type\"),state.server.get(\"root-tiddler\")),\n\t\tresponseHeaders = {\n\t\t\"Content-Type\": state.server.get(\"root-serve-type\")\n\t};\n\t/*\n\tIf the gzip=yes flag for `listen` is set, check if the user agent permits\n\tcompression. If so, compress our response. Note that we use the synchronous\n\tfunctions from zlib to stay in the imperative style. The current `Server`\n\tdoesn't depend on this, and we may just as well use the async versions.\n\t*/\n\tif(state.server.enableGzip) {\n\t\tif (/\\bdeflate\\b/.test(acceptEncoding)) {\n\t\t\tresponseHeaders[\"Content-Encoding\"] = \"deflate\";\n\t\t\ttext = zlib.deflateSync(text);\n\t\t} else if (/\\bgzip\\b/.test(acceptEncoding)) {\n\t\t\tresponseHeaders[\"Content-Encoding\"] = \"gzip\";\n\t\t\ttext = zlib.gzipSync(text);\n\t\t}\n\t}\n\tresponse.writeHead(200,responseHeaders);\n\tresponse.end(text);\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/get-login-basic.js": {
            "title": "$:/core/modules/server/routes/get-login-basic.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/get-login-basic.js\ntype: application/javascript\nmodule-type: route\n\nGET /login-basic -- force a Basic Authentication challenge\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/login-basic$/;\n\nexports.handler = function(request,response,state) {\n\tif(!state.authenticatedUsername) {\n\t\t// Challenge if there's no username\n\t\tresponse.writeHead(401,{\n\t\t\t\"WWW-Authenticate\": 'Basic realm=\"Please provide your username and password to login to ' + state.server.servername + '\"'\n\t\t});\n\t\tresponse.end();\t\t\n\t} else {\n\t\t// Redirect to the root wiki if login worked\n\t\tresponse.writeHead(302,{\n\t\t\tLocation: \"/\"\n\t\t});\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/get-status.js": {
            "title": "$:/core/modules/server/routes/get-status.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/get-status.js\ntype: application/javascript\nmodule-type: route\n\nGET /status\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/status$/;\n\nexports.handler = function(request,response,state) {\n\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\tvar text = JSON.stringify({\n\t\tusername: state.authenticatedUsername || state.server.get(\"anon-username\") || \"\",\n\t\tanonymous: !state.authenticatedUsername,\n\t\tread_only: !state.server.isAuthorized(\"writers\",state.authenticatedUsername),\n\t\tspace: {\n\t\t\trecipe: \"default\"\n\t\t},\n\t\ttiddlywiki_version: $tw.version\n\t});\n\tresponse.end(text,\"utf8\");\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/get-tiddler-html.js": {
            "title": "$:/core/modules/server/routes/get-tiddler-html.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddler-html.js\ntype: application/javascript\nmodule-type: route\n\nGET /:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/([^\\/]+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\t\ttiddler = state.wiki.getTiddler(title);\n\tif(tiddler) {\n\t\tvar renderType = tiddler.getFieldString(\"_render_type\"),\n\t\t\trenderTemplate = tiddler.getFieldString(\"_render_template\");\n\t\t// Tiddler fields '_render_type' and '_render_template' overwrite\n\t\t// system wide settings for render type and template\n\t\tif(state.wiki.isSystemTiddler(title)) {\n\t\t\trenderType = renderType || state.server.get(\"system-tiddler-render-type\");\n\t\t\trenderTemplate = renderTemplate || state.server.get(\"system-tiddler-render-template\");\n\t\t} else {\n\t\t\trenderType = renderType || state.server.get(\"tiddler-render-type\");\n\t\t\trenderTemplate = renderTemplate || state.server.get(\"tiddler-render-template\");\n\t\t}\n\t\tvar text = state.wiki.renderTiddler(renderType,renderTemplate,{parseAsInline: true, variables: {currentTiddler: title}});\n\t\t// Naughty not to set a content-type, but it's the easiest way to ensure the browser will see HTML pages as HTML, and accept plain text tiddlers as CSS or JS\n\t\tresponse.writeHead(200);\n\t\tresponse.end(text,\"utf8\");\n\t} else {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/get-tiddler.js": {
            "title": "$:/core/modules/server/routes/get-tiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nGET /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\t\ttiddler = state.wiki.getTiddler(title),\n\t\ttiddlerFields = {},\n\t\tknownFields = [\n\t\t\t\"bag\", \"created\", \"creator\", \"modified\", \"modifier\", \"permissions\", \"recipe\", \"revision\", \"tags\", \"text\", \"title\", \"type\", \"uri\"\n\t\t];\n\tif(tiddler) {\n\t\t$tw.utils.each(tiddler.fields,function(field,name) {\n\t\t\tvar value = tiddler.getFieldString(name);\n\t\t\tif(knownFields.indexOf(name) !== -1) {\n\t\t\t\ttiddlerFields[name] = value;\n\t\t\t} else {\n\t\t\t\ttiddlerFields.fields = tiddlerFields.fields || {};\n\t\t\t\ttiddlerFields.fields[name] = value;\n\t\t\t}\n\t\t});\n\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\ttiddlerFields.bag = \"default\";\n\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\t\tresponse.end(JSON.stringify(tiddlerFields),\"utf8\");\n\t} else {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/get-tiddlers-json.js": {
            "title": "$:/core/modules/server/routes/get-tiddlers-json.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddlers-json.js\ntype: application/javascript\nmodule-type: route\n\nGET /recipes/default/tiddlers/tiddlers.json?filter=<filter>\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_FILTER = \"[all[tiddlers]!is[system]sort[title]]\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers.json$/;\n\nexports.handler = function(request,response,state) {\n\tvar filter = state.queryParameters.filter || DEFAULT_FILTER;\n\tif($tw.wiki.getTiddlerText(\"$:/config/Server/AllowAllExternalFilters\") !== \"yes\") {\n\t\tif($tw.wiki.getTiddlerText(\"$:/config/Server/ExternalFilters/\" + filter) !== \"yes\") {\n\t\t\tconsole.log(\"Blocked attempt to GET /recipes/default/tiddlers/tiddlers.json with filter: \" + filter);\n\t\t\tresponse.writeHead(403);\n\t\t\tresponse.end();\n\t\t\treturn;\n\t\t}\n\t}\n\tvar excludeFields = (state.queryParameters.exclude || \"text\").split(\",\"),\n\t\ttitles = state.wiki.filterTiddlers(filter);\n\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\tvar tiddlers = [];\n\t$tw.utils.each(titles,function(title) {\n\t\tvar tiddler = state.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tvar tiddlerFields = tiddler.getFieldStrings({exclude: excludeFields});\n\t\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\t\ttiddlers.push(tiddlerFields);\n\t\t}\n\t});\n\tvar text = JSON.stringify(tiddlers);\n\tresponse.end(text,\"utf8\");\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/put-tiddler.js": {
            "title": "$:/core/modules/server/routes/put-tiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/put-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nPUT /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"PUT\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\tfields = JSON.parse(state.data);\n\t// Pull up any subfields in the `fields` object\n\tif(fields.fields) {\n\t\t$tw.utils.each(fields.fields,function(field,name) {\n\t\t\tfields[name] = field;\n\t\t});\n\t\tdelete fields.fields;\n\t}\n\t// Remove any revision field\n\tif(fields.revision) {\n\t\tdelete fields.revision;\n\t}\n\tstate.wiki.addTiddler(new $tw.Tiddler(state.wiki.getCreationFields(),fields,{title: title},state.wiki.getModificationFields()));\n\tvar changeCount = state.wiki.getChangeCount(title).toString();\n\tresponse.writeHead(204, \"OK\",{\n\t\tEtag: \"\\\"default/\" + encodeURIComponent(title) + \"/\" + changeCount + \":\\\"\",\n\t\t\"Content-Type\": \"text/plain\"\n\t});\n\tresponse.end();\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/server.js": {
            "title": "$:/core/modules/server/server.js",
            "text": "/*\\\ntitle: $:/core/modules/server/server.js\ntype: application/javascript\nmodule-type: library\n\nServe tiddlers over http\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nif($tw.node) {\n\tvar util = require(\"util\"),\n\t\tfs = require(\"fs\"),\n\t\turl = require(\"url\"),\n\t\tpath = require(\"path\"),\n\t\tquerystring = require(\"querystring\");\n}\n\n/*\nA simple HTTP server with regexp-based routes\noptions: variables - optional hashmap of variables to set (a misnomer - they are really constant parameters)\n\t\t routes - optional array of routes to use\n\t\t wiki - reference to wiki object\n*/\nfunction Server(options) {\n\tvar self = this;\n\tthis.routes = options.routes || [];\n\tthis.authenticators = options.authenticators || [];\n\tthis.wiki = options.wiki;\n\tthis.servername = $tw.utils.transliterateToSafeASCII(this.wiki.getTiddlerText(\"$:/SiteTitle\") || \"TiddlyWiki5\");\n\t// Initialise the variables\n\tthis.variables = $tw.utils.extend({},this.defaultVariables);\n\tif(options.variables) {\n\t\tfor(var variable in options.variables) {\n\t\t\tif(options.variables[variable]) {\n\t\t\t\tthis.variables[variable] = options.variables[variable];\n\t\t\t}\n\t\t}\t\t\n\t}\n\t$tw.utils.extend({},this.defaultVariables,options.variables);\n\t// Initialise CSRF\n\tthis.csrfDisable = this.get(\"csrf-disable\") === \"yes\";\n\t// Initialize Gzip compression\n\tthis.enableGzip = this.get(\"gzip\") === \"yes\";\n\t// Initialise authorization\n\tvar authorizedUserName = (this.get(\"username\") && this.get(\"password\")) ? this.get(\"username\") : \"(anon)\";\n\tthis.authorizationPrincipals = {\n\t\treaders: (this.get(\"readers\") || authorizedUserName).split(\",\").map($tw.utils.trim),\n\t\twriters: (this.get(\"writers\") || authorizedUserName).split(\",\").map($tw.utils.trim)\n\t}\n\t// Load and initialise authenticators\n\t$tw.modules.forEachModuleOfType(\"authenticator\", function(title,authenticatorDefinition) {\n\t\t// console.log(\"Loading server route \" + title);\n\t\tself.addAuthenticator(authenticatorDefinition.AuthenticatorClass);\n\t});\n\t// Load route handlers\n\t$tw.modules.forEachModuleOfType(\"route\", function(title,routeDefinition) {\n\t\t// console.log(\"Loading server route \" + title);\n\t\tself.addRoute(routeDefinition);\n\t});\n\t// Initialise the http vs https\n\tthis.listenOptions = null;\n\tthis.protocol = \"http\";\n\tvar tlsKeyFilepath = this.get(\"tls-key\"),\n\t\ttlsCertFilepath = this.get(\"tls-cert\");\n\tif(tlsCertFilepath && tlsKeyFilepath) {\n\t\tthis.listenOptions = {\n\t\t\tkey: fs.readFileSync(path.resolve($tw.boot.wikiPath,tlsKeyFilepath),\"utf8\"),\n\t\t\tcert: fs.readFileSync(path.resolve($tw.boot.wikiPath,tlsCertFilepath),\"utf8\")\n\t\t};\n\t\tthis.protocol = \"https\";\n\t}\n\tthis.transport = require(this.protocol);\n}\n\nServer.prototype.defaultVariables = {\n\tport: \"8080\",\n\thost: \"127.0.0.1\",\n\t\"root-tiddler\": \"$:/core/save/all\",\n\t\"root-render-type\": \"text/plain\",\n\t\"root-serve-type\": \"text/html\",\n\t\"tiddler-render-type\": \"text/html\",\n\t\"tiddler-render-template\": \"$:/core/templates/server/static.tiddler.html\",\n\t\"system-tiddler-render-type\": \"text/plain\",\n\t\"system-tiddler-render-template\": \"$:/core/templates/wikified-tiddler\",\n\t\"debug-level\": \"none\",\n\t\"gzip\": \"no\"\n};\n\nServer.prototype.get = function(name) {\n\treturn this.variables[name];\n};\n\nServer.prototype.addRoute = function(route) {\n\tthis.routes.push(route);\n};\n\nServer.prototype.addAuthenticator = function(AuthenticatorClass) {\n\t// Instantiate and initialise the authenticator\n\tvar authenticator = new AuthenticatorClass(this),\n\t\tresult = authenticator.init();\n\tif(typeof result === \"string\") {\n\t\t$tw.utils.error(\"Error: \" + result);\n\t} else if(result) {\n\t\t// Only use the authenticator if it initialised successfully\n\t\tthis.authenticators.push(authenticator);\n\t}\n};\n\nServer.prototype.findMatchingRoute = function(request,state) {\n\tvar pathprefix = this.get(\"path-prefix\") || \"\";\n\tfor(var t=0; t<this.routes.length; t++) {\n\t\tvar potentialRoute = this.routes[t],\n\t\t\tpathRegExp = potentialRoute.path,\n\t\t\tpathname = state.urlInfo.pathname,\n\t\t\tmatch;\n\t\tif(pathprefix) {\n\t\t\tif(pathname.substr(0,pathprefix.length) === pathprefix) {\n\t\t\t\tpathname = pathname.substr(pathprefix.length) || \"/\";\n\t\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t\t} else {\n\t\t\t\tmatch = false;\n\t\t\t}\n\t\t} else {\n\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t}\n\t\tif(match && request.method === potentialRoute.method) {\n\t\t\tstate.params = [];\n\t\t\tfor(var p=1; p<match.length; p++) {\n\t\t\t\tstate.params.push(match[p]);\n\t\t\t}\n\t\t\treturn potentialRoute;\n\t\t}\n\t}\n\treturn null;\n};\n\nServer.prototype.methodMappings = {\n\t\"GET\": \"readers\",\n\t\"OPTIONS\": \"readers\",\n\t\"HEAD\": \"readers\",\n\t\"PUT\": \"writers\",\n\t\"POST\": \"writers\",\n\t\"DELETE\": \"writers\"\n};\n\n/*\nCheck whether a given user is authorized for the specified authorizationType (\"readers\" or \"writers\"). Pass null or undefined as the username to check for anonymous access\n*/\nServer.prototype.isAuthorized = function(authorizationType,username) {\n\tvar principals = this.authorizationPrincipals[authorizationType] || [];\n\treturn principals.indexOf(\"(anon)\") !== -1 || (username && (principals.indexOf(\"(authenticated)\") !== -1 || principals.indexOf(username) !== -1));\n}\n\nServer.prototype.requestHandler = function(request,response) {\n\t// Compose the state object\n\tvar self = this;\n\tvar state = {};\n\tstate.wiki = self.wiki;\n\tstate.server = self;\n\tstate.urlInfo = url.parse(request.url);\n\tstate.queryParameters = querystring.parse(state.urlInfo.query);\n\t// Get the principals authorized to access this resource\n\tvar authorizationType = this.methodMappings[request.method] || \"readers\";\n\t// Check for the CSRF header if this is a write\n\tif(!this.csrfDisable && authorizationType === \"writers\" && request.headers[\"x-requested-with\"] !== \"TiddlyWiki\") {\n\t\tresponse.writeHead(403,\"'X-Requested-With' header required to login to '\" + this.servername + \"'\");\n\t\tresponse.end();\n\t\treturn;\t\t\n\t}\n\t// Check whether anonymous access is granted\n\tstate.allowAnon = this.isAuthorized(authorizationType,null);\n\t// Authenticate with the first active authenticator\n\tif(this.authenticators.length > 0) {\n\t\tif(!this.authenticators[0].authenticateRequest(request,response,state)) {\n\t\t\t// Bail if we failed (the authenticator will have sent the response)\n\t\t\treturn;\n\t\t}\t\t\n\t}\n\t// Authorize with the authenticated username\n\tif(!this.isAuthorized(authorizationType,state.authenticatedUsername)) {\n\t\tresponse.writeHead(401,\"'\" + state.authenticatedUsername + \"' is not authorized to access '\" + this.servername + \"'\");\n\t\tresponse.end();\n\t\treturn;\n\t}\n\t// Find the route that matches this path\n\tvar route = self.findMatchingRoute(request,state);\n\t// Optionally output debug info\n\tif(self.get(\"debug-level\") !== \"none\") {\n\t\tconsole.log(\"Request path:\",JSON.stringify(state.urlInfo));\n\t\tconsole.log(\"Request headers:\",JSON.stringify(request.headers));\n\t\tconsole.log(\"authenticatedUsername:\",state.authenticatedUsername);\n\t}\n\t// Return a 404 if we didn't find a route\n\tif(!route) {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t\treturn;\n\t}\n\t// Receive the request body if necessary and hand off to the route handler\n\tif(route.bodyFormat === \"stream\" || request.method === \"GET\" || request.method === \"HEAD\") {\n\t\t// Let the route handle the request stream itself\n\t\troute.handler(request,response,state);\n\t} else if(route.bodyFormat === \"string\" || !route.bodyFormat) {\n\t\t// Set the encoding for the incoming request\n\t\trequest.setEncoding(\"utf8\");\n\t\tvar data = \"\";\n\t\trequest.on(\"data\",function(chunk) {\n\t\t\tdata += chunk.toString();\n\t\t});\n\t\trequest.on(\"end\",function() {\n\t\t\tstate.data = data;\n\t\t\troute.handler(request,response,state);\n\t\t});\n\t} else if(route.bodyFormat === \"buffer\") {\n\t\tvar data = [];\n\t\trequest.on(\"data\",function(chunk) {\n\t\t\tdata.push(chunk);\n\t\t});\n\t\trequest.on(\"end\",function() {\n\t\t\tstate.data = Buffer.concat(data);\n\t\t\troute.handler(request,response,state);\n\t\t})\n\t} else {\n\t\tresponse.writeHead(400,\"Invalid bodyFormat \" + route.bodyFormat + \" in route \" + route.method + \" \" + route.path.source);\n\t\tresponse.end();\n\t}\n};\n\n/*\nListen for requests\nport: optional port number (falls back to value of \"port\" variable)\nhost: optional host address (falls back to value of \"host\" variable)\nprefix: optional prefix (falls back to value of \"path-prefix\" variable)\n*/\nServer.prototype.listen = function(port,host,prefix) {\n\tvar self = this;\n\t// Handle defaults for port and host\n\tport = port || this.get(\"port\");\n\thost = host || this.get(\"host\");\n\tprefix = prefix || this.get(\"path-prefix\") || \"\";\n\t// Check for the port being a string and look it up as an environment variable\n\tif(parseInt(port,10).toString() !== port) {\n\t\tport = process.env[port] || 8080;\n\t}\n\t// Warn if required plugins are missing\n\tif(!$tw.wiki.getTiddler(\"$:/plugins/tiddlywiki/tiddlyweb\") || !$tw.wiki.getTiddler(\"$:/plugins/tiddlywiki/filesystem\")) {\n\t\t$tw.utils.warning(\"Warning: Plugins required for client-server operation (\\\"tiddlywiki/filesystem\\\" and \\\"tiddlywiki/tiddlyweb\\\") are missing from tiddlywiki.info file\");\n\t}\n\t// Create the server\n\tvar server;\n\tif(this.listenOptions) {\n\t\tserver = this.transport.createServer(this.listenOptions,this.requestHandler.bind(this));\n\t} else {\n\t\tserver = this.transport.createServer(this.requestHandler.bind(this));\n\t}\n\t// Display the port number after we've started listening (the port number might have been specified as zero, in which case we will get an assigned port)\n\tserver.on(\"listening\",function() {\n\t\tvar address = server.address();\n\t\t$tw.utils.log(\"Serving on \" + self.protocol + \"://\" + address.address + \":\" + address.port + prefix,\"brown/orange\");\n\t\t$tw.utils.log(\"(press ctrl-C to exit)\",\"red\");\n\t});\n\t// Listen\n\treturn server.listen(port,host);\n};\n\nexports.Server = Server;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/core/modules/browser-messaging.js": {
            "title": "$:/core/modules/browser-messaging.js",
            "text": "/*\\\ntitle: $:/core/modules/browser-messaging.js\ntype: application/javascript\nmodule-type: startup\n\nBrowser message handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"browser-messaging\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n/*\nLoad a specified url as an iframe and call the callback when it is loaded. If the url is already loaded then the existing iframe instance is used\n*/\nfunction loadIFrame(url,callback) {\n\t// Check if iframe already exists\n\tvar iframeInfo = $tw.browserMessaging.iframeInfoMap[url];\n\tif(iframeInfo) {\n\t\t// We've already got the iframe\n\t\tcallback(null,iframeInfo);\n\t} else {\n\t\t// Create the iframe and save it in the list\n\t\tvar iframe = document.createElement(\"iframe\");\n\t\tiframeInfo = {\n\t\t\turl: url,\n\t\t\tstatus: \"loading\",\n\t\t\tdomNode: iframe\n\t\t};\n\t\t$tw.browserMessaging.iframeInfoMap[url] = iframeInfo;\n\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t// Add the iframe to the DOM and hide it\n\t\tiframe.style.display = \"none\";\n\t\tiframe.setAttribute(\"library\",\"true\");\n\t\tdocument.body.appendChild(iframe);\n\t\t// Set up onload\n\t\tiframe.onload = function() {\n\t\t\tiframeInfo.status = \"loaded\";\n\t\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t\tcallback(null,iframeInfo);\n\t\t};\n\t\tiframe.onerror = function() {\n\t\t\tcallback(\"Cannot load iframe\");\n\t\t};\n\t\ttry {\n\t\t\tiframe.src = url;\n\t\t} catch(ex) {\n\t\t\tcallback(ex);\n\t\t}\n\t}\n}\n\n/*\nUnload library iframe for given url\n*/\nfunction unloadIFrame(url){\n\t$tw.utils.each(document.getElementsByTagName('iframe'), function(iframe) {\n\t\tif(iframe.getAttribute(\"library\") === \"true\" &&\n\t\t  iframe.getAttribute(\"src\") === url) {\n\t\t\tiframe.parentNode.removeChild(iframe);\n\t\t}\n\t});\n}\n\nfunction saveIFrameInfoTiddler(iframeInfo) {\n\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),{\n\t\ttitle: \"$:/temp/ServerConnection/\" + iframeInfo.url,\n\t\ttext: iframeInfo.status,\n\t\ttags: [\"$:/tags/ServerConnection\"],\n\t\turl: iframeInfo.url\n\t},$tw.wiki.getModificationFields()));\n}\n\nexports.startup = function() {\n\t// Initialise the store of iframes we've created\n\t$tw.browserMessaging = {\n\t\tiframeInfoMap: {} // Hashmap by URL of {url:,status:\"loading/loaded\",domNode:}\n\t};\n\t// Listen for widget messages to control loading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\tif(url) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert($tw.language.getString(\"Error/LoadingPluginLibrary\") + \": \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers.json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-info\",\n\t\t\t\t\t\t\tinfoTitlePrefix: paramObject.infoTitlePrefix || \"$:/temp/RemoteAssetInfo/\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for widget messages to control unloading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-unload-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\t$tw.browserMessaging.iframeInfoMap[url] = undefined;\n\t\tif(url) {\n\t\t\tunloadIFrame(url);\n\t\t\t$tw.utils.each(\n\t\t\t\t$tw.wiki.filterTiddlers(\"[[$:/temp/ServerConnection/\" + url + \"]] [prefix[$:/temp/RemoteAssetInfo/\" + url + \"/]]\"),\n\t\t\t\tfunction(title) {\n\t\t\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t\t\t}\n\t\t\t);\n\t\t}\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-from-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url,\n\t\t\ttitle = paramObject.title;\n\t\tif(url && title) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert($tw.language.getString(\"Error/LoadingPluginLibrary\") + \": \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers/\" + encodeURIComponent(title) + \".json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-tiddler\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for window messages from other windows\n\twindow.addEventListener(\"message\",function listener(event){\n\t\t// console.log(\"browser-messaging: \",document.location.toString())\n\t\t// console.log(\"browser-messaging: Received message from\",event.origin);\n\t\t// console.log(\"browser-messaging: Message content\",event.data);\n\t\tswitch(event.data.verb) {\n\t\t\tcase \"GET-RESPONSE\":\n\t\t\t\tif(event.data.status.charAt(0) === \"2\") {\n\t\t\t\t\tif(event.data.cookies) {\n\t\t\t\t\t\tif(event.data.cookies.type === \"save-info\") {\n\t\t\t\t\t\t\tvar tiddlers = JSON.parse(event.data.body);\n\t\t\t\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\t\t\t\t\ttitle: event.data.cookies.infoTitlePrefix + event.data.cookies.url + \"/\" + tiddler.title,\n\t\t\t\t\t\t\t\t\t\"original-title\": tiddler.title,\n\t\t\t\t\t\t\t\t\ttext: \"\",\n\t\t\t\t\t\t\t\t\ttype: \"text/vnd.tiddlywiki\",\n\t\t\t\t\t\t\t\t\t\"original-type\": tiddler.type,\n\t\t\t\t\t\t\t\t\t\"plugin-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-plugin-type\": tiddler[\"plugin-type\"],\n\t\t\t\t\t\t\t\t\t\"module-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-module-type\": tiddler[\"module-type\"],\n\t\t\t\t\t\t\t\t\ttags: [\"$:/tags/RemoteAssetInfo\"],\n\t\t\t\t\t\t\t\t\t\"original-tags\": $tw.utils.stringifyList(tiddler.tags || []),\n\t\t\t\t\t\t\t\t\t\"server-url\": event.data.cookies.url\n\t\t\t\t\t\t\t\t},$tw.wiki.getModificationFields()));\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t} else if(event.data.cookies.type === \"save-tiddler\") {\n\t\t\t\t\t\t\tvar tiddler = JSON.parse(event.data.body);\n\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\t},false);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/commands.js": {
            "title": "$:/core/modules/startup/commands.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/commands.js\ntype: application/javascript\nmodule-type: startup\n\nCommand processing\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"commands\";\nexports.platforms = [\"node\"];\nexports.after = [\"story\"];\nexports.synchronous = false;\n\nexports.startup = function(callback) {\n\t// On the server, start a commander with the command line arguments\n\tvar commander = new $tw.Commander(\n\t\t$tw.boot.argv,\n\t\tfunction(err) {\n\t\t\tif(err) {\n\t\t\t\treturn $tw.utils.error(\"Error: \" + err);\n\t\t\t}\n\t\t\tcallback();\n\t\t},\n\t\t$tw.wiki,\n\t\t{output: process.stdout, error: process.stderr}\n\t);\n\tcommander.execute();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/CSSescape.js": {
            "title": "$:/core/modules/startup/CSSescape.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/CSSescape.js\ntype: application/javascript\nmodule-type: startup\n\nPolyfill for CSS.escape()\n\n\\*/\n(function(root,factory){\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"css-escape\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n/*! https://mths.be/cssescape v1.5.1 by @mathias | MIT license */\n// https://github.com/umdjs/umd/blob/master/returnExports.js\nexports.startup = factory(root);\n}(typeof global != 'undefined' ? global : this, function(root) {\n\n\tif (root.CSS && root.CSS.escape) {\n\t\treturn;\n\t}\n\n\t// https://drafts.csswg.org/cssom/#serialize-an-identifier\n\tvar cssEscape = function(value) {\n\t\tif (arguments.length == 0) {\n\t\t\tthrow new TypeError('`CSS.escape` requires an argument.');\n\t\t}\n\t\tvar string = String(value);\n\t\tvar length = string.length;\n\t\tvar index = -1;\n\t\tvar codeUnit;\n\t\tvar result = '';\n\t\tvar firstCodeUnit = string.charCodeAt(0);\n\t\twhile (++index < length) {\n\t\t\tcodeUnit = string.charCodeAt(index);\n\t\t\t// Note: there’s no need to special-case astral symbols, surrogate\n\t\t\t// pairs, or lone surrogates.\n\n\t\t\t// If the character is NULL (U+0000), then the REPLACEMENT CHARACTER\n\t\t\t// (U+FFFD).\n\t\t\tif (codeUnit == 0x0000) {\n\t\t\t\tresult += '\\uFFFD';\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tif (\n\t\t\t\t// If the character is in the range [\\1-\\1F] (U+0001 to U+001F) or is\n\t\t\t\t// U+007F, […]\n\t\t\t\t(codeUnit >= 0x0001 && codeUnit <= 0x001F) || codeUnit == 0x007F ||\n\t\t\t\t// If the character is the first character and is in the range [0-9]\n\t\t\t\t// (U+0030 to U+0039), […]\n\t\t\t\t(index == 0 && codeUnit >= 0x0030 && codeUnit <= 0x0039) ||\n\t\t\t\t// If the character is the second character and is in the range [0-9]\n\t\t\t\t// (U+0030 to U+0039) and the first character is a `-` (U+002D), […]\n\t\t\t\t(\n\t\t\t\t\tindex == 1 &&\n\t\t\t\t\tcodeUnit >= 0x0030 && codeUnit <= 0x0039 &&\n\t\t\t\t\tfirstCodeUnit == 0x002D\n\t\t\t\t)\n\t\t\t) {\n\t\t\t\t// https://drafts.csswg.org/cssom/#escape-a-character-as-code-point\n\t\t\t\tresult += '\\\\' + codeUnit.toString(16) + ' ';\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tif (\n\t\t\t\t// If the character is the first character and is a `-` (U+002D), and\n\t\t\t\t// there is no second character, […]\n\t\t\t\tindex == 0 &&\n\t\t\t\tlength == 1 &&\n\t\t\t\tcodeUnit == 0x002D\n\t\t\t) {\n\t\t\t\tresult += '\\\\' + string.charAt(index);\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\t// If the character is not handled by one of the above rules and is\n\t\t\t// greater than or equal to U+0080, is `-` (U+002D) or `_` (U+005F), or\n\t\t\t// is in one of the ranges [0-9] (U+0030 to U+0039), [A-Z] (U+0041 to\n\t\t\t// U+005A), or [a-z] (U+0061 to U+007A), […]\n\t\t\tif (\n\t\t\t\tcodeUnit >= 0x0080 ||\n\t\t\t\tcodeUnit == 0x002D ||\n\t\t\t\tcodeUnit == 0x005F ||\n\t\t\t\tcodeUnit >= 0x0030 && codeUnit <= 0x0039 ||\n\t\t\t\tcodeUnit >= 0x0041 && codeUnit <= 0x005A ||\n\t\t\t\tcodeUnit >= 0x0061 && codeUnit <= 0x007A\n\t\t\t) {\n\t\t\t\t// the character itself\n\t\t\t\tresult += string.charAt(index);\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\t// Otherwise, the escaped character.\n\t\t\t// https://drafts.csswg.org/cssom/#escape-a-character\n\t\t\tresult += '\\\\' + string.charAt(index);\n\n\t\t}\n\t\treturn result;\n\t};\n\n\tif (!root.CSS) {\n\t\troot.CSS = {};\n\t}\n\n\troot.CSS.escape = cssEscape;\n\n}));\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/favicon.js": {
            "title": "$:/core/modules/startup/favicon.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/favicon.js\ntype: application/javascript\nmodule-type: startup\n\nFavicon handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"favicon\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\t\t\n// Favicon tiddler\nvar FAVICON_TITLE = \"$:/favicon.ico\";\n\nexports.startup = function() {\n\t// Set up the favicon\n\tsetFavicon();\n\t// Reset the favicon when the tiddler changes\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,FAVICON_TITLE)) {\n\t\t\tsetFavicon();\n\t\t}\n\t});\n};\n\nfunction setFavicon() {\n\tvar tiddler = $tw.wiki.getTiddler(FAVICON_TITLE);\n\tif(tiddler) {\n\t\tvar faviconLink = document.getElementById(\"faviconLink\");\n\t\tfaviconLink.setAttribute(\"href\",\"data:\" + tiddler.fields.type + \";base64,\" + tiddler.fields.text);\n\t}\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/info.js": {
            "title": "$:/core/modules/startup/info.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/info.js\ntype: application/javascript\nmodule-type: startup\n\nInitialise $:/info tiddlers via $:/temp/info-plugin pseudo-plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"info\";\nexports.before = [\"startup\"];\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\nvar TITLE_INFO_PLUGIN = \"$:/temp/info-plugin\";\n\nexports.startup = function() {\n\t// Collect up the info tiddlers\n\tvar infoTiddlerFields = {};\n\t// Give each info module a chance to fill in as many info tiddlers as they want\n\t$tw.modules.forEachModuleOfType(\"info\",function(title,moduleExports) {\n\t\tif(moduleExports && moduleExports.getInfoTiddlerFields) {\n\t\t\tvar tiddlerFieldsArray = moduleExports.getInfoTiddlerFields(infoTiddlerFields);\n\t\t\t$tw.utils.each(tiddlerFieldsArray,function(fields) {\n\t\t\t\tif(fields) {\n\t\t\t\t\tinfoTiddlerFields[fields.title] = fields;\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Bake the info tiddlers into a plugin. We use the non-standard plugin-type \"info\" because ordinary plugins are only registered asynchronously after being loaded dynamically\n\tvar fields = {\n\t\ttitle: TITLE_INFO_PLUGIN,\n\t\ttype: \"application/json\",\n\t\t\"plugin-type\": \"info\",\n\t\ttext: JSON.stringify({tiddlers: infoTiddlerFields},null,$tw.config.preferences.jsonSpaces)\n\t};\n\t$tw.wiki.addTiddler(new $tw.Tiddler(fields));\n\t$tw.wiki.readPluginInfo([TITLE_INFO_PLUGIN]);\n\t$tw.wiki.registerPluginTiddlers(\"info\");\n\t$tw.wiki.unpackPluginTiddlers();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/load-modules.js": {
            "title": "$:/core/modules/startup/load-modules.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/load-modules.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"load-modules\";\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Load modules\n\t$tw.modules.applyMethods(\"utils\",$tw.utils);\n\tif($tw.node) {\n\t\t$tw.modules.applyMethods(\"utils-node\",$tw.utils);\n\t}\n\t$tw.modules.applyMethods(\"global\",$tw);\n\t$tw.modules.applyMethods(\"config\",$tw.config);\n\t$tw.Tiddler.fieldModules = $tw.modules.getModulesByTypeAsHashmap(\"tiddlerfield\");\n\t$tw.modules.applyMethods(\"tiddlermethod\",$tw.Tiddler.prototype);\n\t$tw.modules.applyMethods(\"wikimethod\",$tw.Wiki.prototype);\n\t$tw.wiki.addIndexersToWiki();\n\t$tw.modules.applyMethods(\"tiddlerdeserializer\",$tw.Wiki.tiddlerDeserializerModules);\n\t$tw.macros = $tw.modules.getModulesByTypeAsHashmap(\"macro\");\n\t$tw.wiki.initParsers();\n\t$tw.Commander.initCommands();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/password.js": {
            "title": "$:/core/modules/startup/password.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/password.js\ntype: application/javascript\nmodule-type: startup\n\nPassword handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"password\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t$tw.rootWidget.addEventListener(\"tm-set-password\",function(event) {\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: $tw.language.getString(\"Encryption/PromptSetPassword\"),\n\t\t\tnoUserName: true,\n\t\t\tsubmitText: $tw.language.getString(\"Encryption/SetPassword\"),\n\t\t\tcanCancel: true,\n\t\t\trepeatPassword: true,\n\t\t\tcallback: function(data) {\n\t\t\t\tif(data) {\n\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t}\n\t\t\t\treturn true; // Get rid of the password prompt\n\t\t\t}\n\t\t});\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-clear-password\",function(event) {\n\t\tif($tw.browser) {\n\t\t\tif(!confirm($tw.language.getString(\"Encryption/ConfirmClearPassword\"))) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t\t$tw.crypto.setPassword(null);\n\t});\n\t// Ensure that $:/isEncrypted is maintained properly\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,\"$:/isEncrypted\")) {\n\t\t\t$tw.crypto.updateCryptoStateTiddler();\n\t\t}\n\t});\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/plugins.js": {
            "title": "$:/core/modules/startup/plugins.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/plugins.js\ntype: application/javascript\nmodule-type: startup\n\nStartup logic concerned with managing plugins\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"plugins\";\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\nvar TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE = \"$:/status/RequireReloadDueToPluginChange\";\n\nvar PREFIX_CONFIG_REGISTER_PLUGIN_TYPE = \"$:/config/RegisterPluginType/\";\n\nexports.startup = function() {\n\t$tw.wiki.addTiddler({title: TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE,text: \"no\"});\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tvar changesToProcess = [],\n\t\t\trequireReloadDueToPluginChange = false;\n\t\t$tw.utils.each(Object.keys(changes),function(title) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title),\n\t\t\t\trequiresReload = $tw.wiki.doesPluginRequireReload(title);\n\t\t\tif(requiresReload) {\n\t\t\t\trequireReloadDueToPluginChange = true;\n\t\t\t} else if(tiddler) {\n\t\t\t\tvar pluginType = tiddler.fields[\"plugin-type\"];\n\t\t\t\tif($tw.wiki.getTiddlerText(PREFIX_CONFIG_REGISTER_PLUGIN_TYPE + (tiddler.fields[\"plugin-type\"] || \"\"),\"no\") === \"yes\") {\n\t\t\t\t\tchangesToProcess.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t\tif(requireReloadDueToPluginChange) {\n\t\t\t$tw.wiki.addTiddler({title: TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE,text: \"yes\"});\n\t\t}\n\t\t// Read or delete the plugin info of the changed tiddlers\n\t\tif(changesToProcess.length > 0) {\n\t\t\tvar changes = $tw.wiki.readPluginInfo(changesToProcess);\n\t\t\tif(changes.modifiedPlugins.length > 0 || changes.deletedPlugins.length > 0) {\n\t\t\t\t// (Re-)register any modified plugins\n\t\t\t\t$tw.wiki.registerPluginTiddlers(null,changes.modifiedPlugins);\n\t\t\t\t// Unregister any deleted plugins\n\t\t\t\t$tw.wiki.unregisterPluginTiddlers(null,changes.deletedPlugins);\n\t\t\t\t// Unpack the shadow tiddlers\n\t\t\t\t$tw.wiki.unpackPluginTiddlers();\n\t\t\t}\n\t\t}\n\t});\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/render.js": {
            "title": "$:/core/modules/startup/render.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/render.js\ntype: application/javascript\nmodule-type: startup\n\nTitle, stylesheet and page rendering\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"render\";\nexports.platforms = [\"browser\"];\nexports.after = [\"story\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar PAGE_TITLE_TITLE = \"$:/core/wiki/title\";\nvar PAGE_STYLESHEET_TITLE = \"$:/core/ui/PageStylesheet\";\nvar PAGE_TEMPLATE_TITLE = \"$:/core/ui/PageTemplate\";\n\n// Time (in ms) that we defer refreshing changes to draft tiddlers\nvar DRAFT_TIDDLER_TIMEOUT_TITLE = \"$:/config/Drafts/TypingTimeout\";\nvar THROTTLE_REFRESH_TIMEOUT = 400;\n\nexports.startup = function() {\n\t// Set up the title\n\t$tw.titleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TITLE_TITLE,{document: $tw.fakeDocument, parseAsInline: true});\n\t$tw.titleContainer = $tw.fakeDocument.createElement(\"div\");\n\t$tw.titleWidgetNode.render($tw.titleContainer,null);\n\tdocument.title = $tw.titleContainer.textContent;\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.titleWidgetNode.refresh(changes,$tw.titleContainer,null)) {\n\t\t\tdocument.title = $tw.titleContainer.textContent;\n\t\t}\n\t});\n\t// Set up the styles\n\t$tw.styleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_STYLESHEET_TITLE,{document: $tw.fakeDocument});\n\t$tw.styleContainer = $tw.fakeDocument.createElement(\"style\");\n\t$tw.styleWidgetNode.render($tw.styleContainer,null);\n\t$tw.styleElement = document.createElement(\"style\");\n\t$tw.styleElement.innerHTML = $tw.styleContainer.textContent;\n\tdocument.head.insertBefore($tw.styleElement,document.head.firstChild);\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"styleRefresh\",function(changes) {\n\t\tif($tw.styleWidgetNode.refresh(changes,$tw.styleContainer,null)) {\n\t\t\t$tw.styleElement.innerHTML = $tw.styleContainer.textContent;\n\t\t}\n\t}));\n\t// Display the $:/core/ui/PageTemplate tiddler to kick off the display\n\t$tw.perf.report(\"mainRender\",function() {\n\t\t$tw.pageWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TEMPLATE_TITLE,{document: document, parentWidget: $tw.rootWidget});\n\t\t$tw.pageContainer = document.createElement(\"div\");\n\t\t$tw.utils.addClass($tw.pageContainer,\"tc-page-container-wrapper\");\n\t\tdocument.body.insertBefore($tw.pageContainer,document.body.firstChild);\n\t\t$tw.pageWidgetNode.render($tw.pageContainer,null);\n   \t\t$tw.hooks.invokeHook(\"th-page-refreshed\");\n\t})();\n\t// Remove any splash screen elements\n\tvar removeList = document.querySelectorAll(\".tc-remove-when-wiki-loaded\");\n\t$tw.utils.each(removeList,function(removeItem) {\n\t\tif(removeItem.parentNode) {\n\t\t\tremoveItem.parentNode.removeChild(removeItem);\n\t\t}\n\t});\n\t// Prepare refresh mechanism\n\tvar deferredChanges = Object.create(null),\n\t\ttimerId;\n\tfunction refresh() {\n\t\t// Process the refresh\n\t\t$tw.hooks.invokeHook(\"th-page-refreshing\");\n\t\t$tw.pageWidgetNode.refresh(deferredChanges);\n\t\tdeferredChanges = Object.create(null);\n\t\t$tw.hooks.invokeHook(\"th-page-refreshed\");\n\t}\n\t// Add the change event handler\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"mainRefresh\",function(changes) {\n\t\t// Check if only tiddlers that are throttled have changed\n\t\tvar onlyThrottledTiddlersHaveChanged = true;\n\t\tfor(var title in changes) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(!tiddler || !(tiddler.hasField(\"draft.of\") || tiddler.hasField(\"throttle.refresh\"))) {\n\t\t\t\tonlyThrottledTiddlersHaveChanged = false;\n\t\t\t}\n\t\t}\n\t\t// Defer the change if only drafts have changed\n\t\tif(timerId) {\n\t\t\tclearTimeout(timerId);\n\t\t}\n\t\ttimerId = null;\n\t\tif(onlyThrottledTiddlersHaveChanged) {\n\t\t\tvar timeout = parseInt($tw.wiki.getTiddlerText(DRAFT_TIDDLER_TIMEOUT_TITLE,\"\"),10);\n\t\t\tif(isNaN(timeout)) {\n\t\t\t\ttimeout = THROTTLE_REFRESH_TIMEOUT;\n\t\t\t}\n\t\t\ttimerId = setTimeout(refresh,timeout);\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t} else {\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t\trefresh();\n\t\t}\n\t}));\n\t// Fix up the link between the root widget and the page container\n\t$tw.rootWidget.domNodes = [$tw.pageContainer];\n\t$tw.rootWidget.children = [$tw.pageWidgetNode];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/rootwidget.js": {
            "title": "$:/core/modules/startup/rootwidget.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/rootwidget.js\ntype: application/javascript\nmodule-type: startup\n\nSetup the root widget and the core root widget handlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"rootwidget\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.before = [\"story\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Install the modal message mechanism\n\t$tw.modal = new $tw.utils.Modal($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-modal\",function(event) {\n\t\t$tw.modal.display(event.param,{variables: event.paramObject, event: event});\n\t});\n\t// Install the notification  mechanism\n\t$tw.notifier = new $tw.utils.Notifier($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-notify\",function(event) {\n\t\t$tw.notifier.display(event.param,{variables: event.paramObject});\n\t});\n\t// Install the copy-to-clipboard  mechanism\n\t$tw.rootWidget.addEventListener(\"tm-copy-to-clipboard\",function(event) {\n\t\t$tw.utils.copyToClipboard(event.param);\n\t});\n\t// Install the tm-focus-selector message\n\t$tw.rootWidget.addEventListener(\"tm-focus-selector\",function(event) {\n\t\tvar selector = event.param || \"\",\n\t\t\telement;\n\t\ttry {\n\t\t\telement = document.querySelector(selector);\n\t\t} catch(e) {\n\t\t\tconsole.log(\"Error in selector: \",selector)\n\t\t}\n\t\tif(element && element.focus) {\n\t\t\telement.focus(event.paramObject);\n\t\t}\n\t});\n\t// Install the scroller\n\t$tw.pageScroller = new $tw.utils.PageScroller();\n\t$tw.rootWidget.addEventListener(\"tm-scroll\",function(event) {\n\t\t$tw.pageScroller.handleEvent(event);\n\t});\n\tvar fullscreen = $tw.utils.getFullScreenApis();\n\tif(fullscreen) {\n\t\t$tw.rootWidget.addEventListener(\"tm-full-screen\",function(event) {\n\t\t\tvar fullScreenDocument = event.event ? event.event.target.ownerDocument : document;\n\t\t\tif(event.param === \"enter\") {\n\t\t\t\tfullScreenDocument.documentElement[fullscreen._requestFullscreen](Element.ALLOW_KEYBOARD_INPUT);\n\t\t\t} else if(event.param === \"exit\") {\n\t\t\t\tfullScreenDocument[fullscreen._exitFullscreen]();\n\t\t\t} else {\n\t\t\t\tif(fullScreenDocument[fullscreen._fullscreenElement]) {\n\t\t\t\t\tfullScreenDocument[fullscreen._exitFullscreen]();\n\t\t\t\t} else {\n\t\t\t\t\tfullScreenDocument.documentElement[fullscreen._requestFullscreen](Element.ALLOW_KEYBOARD_INPUT);\n\t\t\t\t}\t\t\t\t\n\t\t\t}\n\t\t});\n\t}\n\t// If we're being viewed on a data: URI then give instructions for how to save\n\tif(document.location.protocol === \"data:\") {\n\t\t$tw.rootWidget.dispatchEvent({\n\t\t\ttype: \"tm-modal\",\n\t\t\tparam: \"$:/language/Modals/SaveInstructions\"\n\t\t});\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup.js": {
            "title": "$:/core/modules/startup.js",
            "text": "/*\\\ntitle: $:/core/modules/startup.js\ntype: application/javascript\nmodule-type: startup\n\nMiscellaneous startup logic for both the client and server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"startup\";\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\n// Set to `true` to enable performance instrumentation\nvar PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE = \"$:/config/Performance/Instrumentation\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.startup = function() {\n\tvar modules,n,m,f;\n\t// Minimal browser detection\n\tif($tw.browser) {\n\t\t$tw.browser.isIE = (/msie|trident/i.test(navigator.userAgent));\n\t\t$tw.browser.isFirefox = !!document.mozFullScreenEnabled;\n\t}\n\t// Platform detection\n\t$tw.platform = {};\n\tif($tw.browser) {\n\t\t$tw.platform.isMac = /Mac/.test(navigator.platform);\n\t\t$tw.platform.isWindows = /win/i.test(navigator.platform);\n\t\t$tw.platform.isLinux = /Linux/i.test(navigator.platform);\n\t} else {\n\t\tswitch(require(\"os\").platform()) {\n\t\t\tcase \"darwin\":\n\t\t\t\t$tw.platform.isMac = true;\n\t\t\t\tbreak;\n\t\t\tcase \"win32\":\n\t\t\t\t$tw.platform.isWindows = true;\n\t\t\t\tbreak;\n\t\t\tcase \"freebsd\":\n\t\t\t\t$tw.platform.isLinux = true;\n\t\t\t\tbreak;\n\t\t\tcase \"linux\":\n\t\t\t\t$tw.platform.isLinux = true;\n\t\t\t\tbreak;\n\t\t}\n\t}\n\t// Initialise version\n\t$tw.version = $tw.utils.extractVersionInfo();\n\t// Set up the performance framework\n\t$tw.perf = new $tw.Performance($tw.wiki.getTiddlerText(PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE,\"no\") === \"yes\");\n\t// Create a root widget for attaching event handlers. By using it as the parentWidget for another widget tree, one can reuse the event handlers\n\t$tw.rootWidget = new widget.widget({\n\t\ttype: \"widget\",\n\t\tchildren: []\n\t},{\n\t\twiki: $tw.wiki,\n\t\tdocument: $tw.browser ? document : $tw.fakeDocument\n\t});\n\t// Execute any startup actions\n\tvar executeStartupTiddlers = function(tag) {\n\t\t$tw.utils.each($tw.wiki.filterTiddlers(\"[all[shadows+tiddlers]tag[\" + tag + \"]!has[draft.of]]\"),function(title) {\n\t\t\t$tw.rootWidget.invokeActionString($tw.wiki.getTiddlerText(title),$tw.rootWidget);\n\t\t});\n\t};\n\texecuteStartupTiddlers(\"$:/tags/StartupAction\");\n\tif($tw.browser) {\n\t\texecuteStartupTiddlers(\"$:/tags/StartupAction/Browser\");\t\t\n\t}\n\tif($tw.node) {\n\t\texecuteStartupTiddlers(\"$:/tags/StartupAction/Node\");\t\t\n\t}\n\t// Kick off the language manager and switcher\n\t$tw.language = new $tw.Language();\n\t$tw.languageSwitcher = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"language\",\n\t\tcontrollerTitle: \"$:/language\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/languages/en-GB\"\n\t\t],\n\t\tonSwitch: function(plugins) {\n\t\t\tif($tw.browser) {\n\t\t\t\tvar pluginTiddler = $tw.wiki.getTiddler(plugins[0]);\n\t\t\t\tif(pluginTiddler) {\n\t\t\t\t\tdocument.documentElement.setAttribute(\"dir\",pluginTiddler.getFieldString(\"text-direction\") || \"auto\");\n\t\t\t\t} else {\n\t\t\t\t\tdocument.documentElement.removeAttribute(\"dir\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\t// Kick off the theme manager\n\t$tw.themeManager = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"theme\",\n\t\tcontrollerTitle: \"$:/theme\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/themes/tiddlywiki/snowwhite\",\n\t\t\t\"$:/themes/tiddlywiki/vanilla\"\n\t\t]\n\t});\n\t// Kick off the keyboard manager\n\t$tw.keyboardManager = new $tw.KeyboardManager();\n\t// Listen for shortcuts\n\tif($tw.browser) {\n\t\t$tw.utils.addEventListeners(document,[{\n\t\t\tname: \"keydown\",\n\t\t\thandlerObject: $tw.keyboardManager,\n\t\t\thandlerMethod: \"handleKeydownEvent\"\n\t\t}]);\n\t}\n\t// Clear outstanding tiddler store change events to avoid an unnecessary refresh cycle at startup\n\t$tw.wiki.clearTiddlerEventQueue();\n\t// Find a working syncadaptor\n\t$tw.syncadaptor = undefined;\n\t$tw.modules.forEachModuleOfType(\"syncadaptor\",function(title,module) {\n\t\tif(!$tw.syncadaptor && module.adaptorClass) {\n\t\t\t$tw.syncadaptor = new module.adaptorClass({wiki: $tw.wiki});\n\t\t}\n\t});\n\t// Set up the syncer object if we've got a syncadaptor\n\tif($tw.syncadaptor) {\n\t\t$tw.syncer = new $tw.Syncer({wiki: $tw.wiki, syncadaptor: $tw.syncadaptor});\n\t}\n\t// Setup the saver handler\n\t$tw.saverHandler = new $tw.SaverHandler({\n\t\twiki: $tw.wiki,\n\t\tdirtyTracking: !$tw.syncadaptor,\n\t\tpreloadDirty: $tw.boot.preloadDirty || []\n\t});\n\t// Host-specific startup\n\tif($tw.browser) {\n\t\t// Install the popup manager\n\t\t$tw.popup = new $tw.utils.Popup();\n\t\t// Install the animator\n\t\t$tw.anim = new $tw.utils.Animator();\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/story.js": {
            "title": "$:/core/modules/startup/story.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/story.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"story\";\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar DEFAULT_STORY_TITLE = \"$:/StoryList\";\nvar DEFAULT_HISTORY_TITLE = \"$:/HistoryList\";\n\n// Default tiddlers\nvar DEFAULT_TIDDLERS_TITLE = \"$:/DefaultTiddlers\";\n\n// Config\nvar CONFIG_UPDATE_ADDRESS_BAR = \"$:/config/Navigation/UpdateAddressBar\"; // Can be \"no\", \"permalink\", \"permaview\"\nvar CONFIG_UPDATE_HISTORY = \"$:/config/Navigation/UpdateHistory\"; // Can be \"yes\" or \"no\"\nvar CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD = \"$:/config/Navigation/Permalinkview/CopyToClipboard\"; // Can be \"yes\" (default) or \"no\"\nvar CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR = \"$:/config/Navigation/Permalinkview/UpdateAddressBar\"; // Can be \"yes\" (default) or \"no\"\n\n\n// Links to help, if there is no param\nvar HELP_OPEN_EXTERNAL_WINDOW = \"http://tiddlywiki.com/#WidgetMessage%3A%20tm-open-external-window\";\n\nexports.startup = function() {\n\t// Open startup tiddlers\n\topenStartupTiddlers({\n\t\tdisableHistory: $tw.boot.disableStartupNavigation\n\t});\n\tif($tw.browser) {\n\t\t// Set up location hash update\n\t\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\t\tif($tw.utils.hop(changes,DEFAULT_STORY_TITLE) || $tw.utils.hop(changes,DEFAULT_HISTORY_TITLE)) {\n\t\t\t\tupdateLocationHash({\n\t\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_UPDATE_ADDRESS_BAR,\"permaview\").trim(),\n\t\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim()\n\t\t\t\t});\n\t\t\t}\n\t\t});\n\t\t// Listen for changes to the browser location hash\n\t\twindow.addEventListener(\"hashchange\",function() {\n\t\t\tvar hash = $tw.utils.getLocationHash();\n\t\t\tif(hash !== $tw.locationHash) {\n\t\t\t\t$tw.locationHash = hash;\n\t\t\t\topenStartupTiddlers({defaultToCurrentStory: true});\n\t\t\t}\n\t\t},false);\n\t\t// Listen for the tm-browser-refresh message\n\t\t$tw.rootWidget.addEventListener(\"tm-browser-refresh\",function(event) {\n\t\t\twindow.location.reload(true);\n\t\t});\n\t\t// Listen for tm-open-external-window message\n\t\t$tw.rootWidget.addEventListener(\"tm-open-external-window\",function(event) {\n\t\t\tvar paramObject = event.paramObject || {},\n\t\t\t\tstrUrl = event.param || HELP_OPEN_EXTERNAL_WINDOW,\n\t\t\t\tstrWindowName = paramObject.windowName,\n\t\t\t\tstrWindowFeatures = paramObject.windowFeatures;\n\t\t\twindow.open(strUrl, strWindowName, strWindowFeatures);\n\t\t});\n\t\t// Listen for the tm-print message\n\t\t$tw.rootWidget.addEventListener(\"tm-print\",function(event) {\n\t\t\t(event.event.view || window).print();\n\t\t});\n\t\t// Listen for the tm-home message\n\t\t$tw.rootWidget.addEventListener(\"tm-home\",function(event) {\n\t\t\twindow.location.hash = \"\";\n\t\t\tvar storyFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE),\n\t\t\t\tstoryList = $tw.wiki.filterTiddlers(storyFilter);\n\t\t\t//invoke any hooks that might change the default story list\n\t\t\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t\t\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t\t\tif(storyList[0]) {\n\t\t\t\t$tw.wiki.addToHistory(storyList[0]);\n\t\t\t}\n\t\t});\n\t\t// Listen for the tm-permalink message\n\t\t$tw.rootWidget.addEventListener(\"tm-permalink\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR,\"yes\").trim() === \"yes\" ? \"permalink\" : \"none\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle,\n\t\t\t\tcopyToClipboard: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD,\"yes\").trim() === \"yes\" ? \"permalink\" : \"none\"\n\t\t\t});\n\t\t});\n\t\t// Listen for the tm-permaview message\n\t\t$tw.rootWidget.addEventListener(\"tm-permaview\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR,\"yes\").trim() === \"yes\" ? \"permaview\" : \"none\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle,\n\t\t\t\tcopyToClipboard: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD,\"yes\").trim() === \"yes\" ? \"permaview\" : \"none\"\n\t\t\t});\t\t\t\t\n\t\t});\n\t}\n};\n\n/*\nProcess the location hash to open the specified tiddlers. Options:\ndisableHistory: if true $:/History is NOT updated\ndefaultToCurrentStory: If true, the current story is retained as the default, instead of opening the default tiddlers\n*/\nfunction openStartupTiddlers(options) {\n\toptions = options || {};\n\t// Work out the target tiddler and the story filter. \"null\" means \"unspecified\"\n\tvar target = null,\n\t\tstoryFilter = null;\n\tif($tw.locationHash.length > 1) {\n\t\tvar hash = $tw.locationHash.substr(1),\n\t\t\tsplit = hash.indexOf(\":\");\n\t\tif(split === -1) {\n\t\t\ttarget = decodeURIComponent(hash.trim());\n\t\t} else {\n\t\t\ttarget = decodeURIComponent(hash.substr(0,split).trim());\n\t\t\tstoryFilter = decodeURIComponent(hash.substr(split + 1).trim());\n\t\t}\n\t}\n\t// If the story wasn't specified use the current tiddlers or a blank story\n\tif(storyFilter === null) {\n\t\tif(options.defaultToCurrentStory) {\n\t\t\tvar currStoryList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE);\n\t\t\tstoryFilter = $tw.utils.stringifyList(currStoryList);\n\t\t} else {\n\t\t\tif(target && target !== \"\") {\n\t\t\t\tstoryFilter = \"\";\n\t\t\t} else {\n\t\t\t\tstoryFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE);\n\t\t\t}\n\t\t}\n\t}\n\t// Process the story filter to get the story list\n\tvar storyList = $tw.wiki.filterTiddlers(storyFilter);\n\t// Invoke any hooks that want to change the default story list\n\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t// If the target tiddler isn't included then splice it in at the top\n\tif(target && storyList.indexOf(target) === -1) {\n\t\tstoryList.unshift(target);\n\t}\n\t// Save the story list\n\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t// Update history\n\tif(!options.disableHistory) {\n\t\t// If a target tiddler was specified add it to the history stack\n\t\tif(target && target !== \"\") {\n\t\t\t// The target tiddler doesn't need double square brackets, but we'll silently remove them if they're present\n\t\t\tif(target.indexOf(\"[[\") === 0 && target.substr(-2) === \"]]\") {\n\t\t\t\ttarget = target.substr(2,target.length - 4);\n\t\t\t}\n\t\t\t$tw.wiki.addToHistory(target);\n\t\t} else if(storyList.length > 0) {\n\t\t\t$tw.wiki.addToHistory(storyList[0]);\n\t\t}\t\t\n\t}\n}\n\n/*\noptions: See below\noptions.updateAddressBar: \"permalink\", \"permaview\" or \"no\" (defaults to \"permaview\")\noptions.updateHistory: \"yes\" or \"no\" (defaults to \"no\")\noptions.copyToClipboard: \"permalink\", \"permaview\" or \"no\" (defaults to \"no\")\noptions.targetTiddler: optional title of target tiddler for permalink\n*/\nfunction updateLocationHash(options) {\n\t// Get the story and the history stack\n\tvar storyList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE),\n\t\thistoryList = $tw.wiki.getTiddlerData(DEFAULT_HISTORY_TITLE,[]),\n\t\ttargetTiddler = \"\";\n\tif(options.targetTiddler) {\n\t\ttargetTiddler = options.targetTiddler;\n\t} else {\n\t\t// The target tiddler is the one at the top of the stack\n\t\tif(historyList.length > 0) {\n\t\t\ttargetTiddler = historyList[historyList.length-1].title;\n\t\t}\n\t\t// Blank the target tiddler if it isn't present in the story\n\t\tif(storyList.indexOf(targetTiddler) === -1) {\n\t\t\ttargetTiddler = \"\";\n\t\t}\n\t}\n\t// Assemble the location hash\n\tswitch(options.updateAddressBar) {\n\t\tcase \"permalink\":\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler);\n\t\t\tbreak;\n\t\tcase \"permaview\":\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler) + \":\" + encodeURIComponent($tw.utils.stringifyList(storyList));\n\t\t\tbreak;\n\t}\n\t// Copy URL to the clipboard\n\tswitch(options.copyToClipboard) {\n\t\tcase \"permalink\":\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getLocationPath() + \"#\" + encodeURIComponent(targetTiddler));\n\t\t\tbreak;\n\t\tcase \"permaview\":\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getLocationPath() + \"#\" + encodeURIComponent(targetTiddler) + \":\" + encodeURIComponent($tw.utils.stringifyList(storyList)));\n\t\t\tbreak;\n\t}\n\t// Only change the location hash if we must, thus avoiding unnecessary onhashchange events\n\tif($tw.utils.getLocationHash() !== $tw.locationHash) {\n\t\tif(options.updateHistory === \"yes\") {\n\t\t\t// Assign the location hash so that history is updated\n\t\t\twindow.location.hash = $tw.locationHash;\n\t\t} else {\n\t\t\t// We use replace so that browser history isn't affected\n\t\t\twindow.location.replace(window.location.toString().split(\"#\")[0] + $tw.locationHash);\n\t\t}\n\t}\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/windows.js": {
            "title": "$:/core/modules/startup/windows.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/windows.js\ntype: application/javascript\nmodule-type: startup\n\nSetup root widget handlers for the messages concerned with opening external browser windows\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"windows\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Global to keep track of open windows (hashmap by title)\nvar windows = {};\n\nexports.startup = function() {\n\t// Handle open window message\n\t$tw.rootWidget.addEventListener(\"tm-open-window\",function(event) {\n\t\t// Get the parameters\n\t\tvar refreshHandler,\n\t\t\ttitle = event.param || event.tiddlerTitle,\n\t\t\tparamObject = event.paramObject || {},\n\t\t\twindowTitle = paramObject.windowTitle || title,\n\t\t\ttemplate = paramObject.template || \"$:/core/templates/single.tiddler.window\",\n\t\t\twidth = paramObject.width || \"700\",\n\t\t\theight = paramObject.height || \"600\",\n\t\t\tvariables = $tw.utils.extend({},paramObject,{currentTiddler: title});\n\t\t// Open the window\n\t\tvar srcWindow,\n\t\t    srcDocument;\n\t\t// In case that popup blockers deny opening a new window\n\t\ttry {\n\t\t\tsrcWindow = window.open(\"\",\"external-\" + title,\"scrollbars,width=\" + width + \",height=\" + height),\n\t\t\tsrcDocument = srcWindow.document;\n\t\t}\n\t\tcatch(e) {\n\t\t\treturn;\n\t\t}\n\t\twindows[title] = srcWindow;\n\t\t// Check for reopening the same window\n\t\tif(srcWindow.haveInitialisedWindow) {\n\t\t\treturn;\n\t\t}\n\t\t// Initialise the document\n\t\tsrcDocument.write(\"<html><head></head><body class='tc-body tc-single-tiddler-window'></body></html>\");\n\t\tsrcDocument.close();\n\t\tsrcDocument.title = windowTitle;\n\t\tsrcWindow.addEventListener(\"beforeunload\",function(event) {\n\t\t\tdelete windows[title];\n\t\t\t$tw.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t},false);\n\t\t// Set up the styles\n\t\tvar styleWidgetNode = $tw.wiki.makeTranscludeWidget(\"$:/core/ui/PageStylesheet\",{\n\t\t\t\tdocument: $tw.fakeDocument,\n\t\t\t\tvariables: variables,\n\t\t\t\timportPageMacros: true}),\n\t\t\tstyleContainer = $tw.fakeDocument.createElement(\"style\");\n\t\tstyleWidgetNode.render(styleContainer,null);\n\t\tvar styleElement = srcDocument.createElement(\"style\");\n\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\tsrcDocument.head.insertBefore(styleElement,srcDocument.head.firstChild);\n\t\t// Render the text of the tiddler\n\t\tvar parser = $tw.wiki.parseTiddler(template),\n\t\t\twidgetNode = $tw.wiki.makeWidget(parser,{document: srcDocument, parentWidget: $tw.rootWidget, variables: variables});\n\t\twidgetNode.render(srcDocument.body,srcDocument.body.firstChild);\n\t\t// Function to handle refreshes\n\t\trefreshHandler = function(changes) {\n\t\t\tif(styleWidgetNode.refresh(changes,styleContainer,null)) {\n\t\t\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\t\t}\n\t\t\twidgetNode.refresh(changes);\n\t\t};\n\t\t$tw.wiki.addEventListener(\"change\",refreshHandler);\n\t\t// Listen for keyboard shortcuts\n\t\t$tw.utils.addEventListeners(srcDocument,[{\n\t\t\tname: \"keydown\",\n\t\t\thandlerObject: $tw.keyboardManager,\n\t\t\thandlerMethod: \"handleKeydownEvent\"\n\t\t},{\n\t\t\tname: \"click\",\n\t\t\thandlerObject: $tw.popup,\n\t\t\thandlerMethod: \"handleEvent\"\n\t\t}]);\n\t\tsrcWindow.haveInitialisedWindow = true;\n\t});\n\t// Close open windows when unloading main window\n\t$tw.addUnloadTask(function() {\n\t\t$tw.utils.each(windows,function(win) {\n\t\t\twin.close();\n\t\t});\n\t});\n\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/story.js": {
            "title": "$:/core/modules/story.js",
            "text": "/*\\\ntitle: $:/core/modules/story.js\ntype: application/javascript\nmodule-type: global\n\nLightweight object for managing interactions with the story and history lists.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nConstruct Story object with options:\nwiki: reference to wiki object to use to resolve tiddler titles\nstoryTitle: title of story list tiddler\nhistoryTitle: title of history list tiddler\n*/\nfunction Story(options) {\n\toptions = options || {};\n\tthis.wiki = options.wiki || $tw.wiki;\n\tthis.storyTitle = options.storyTitle || \"$:/StoryList\";\n\tthis.historyTitle = options.historyTitle || \"$:/HistoryList\";\n};\n\nStory.prototype.navigateTiddler = function(navigateTo,navigateFromTitle,navigateFromClientRect) {\n\tthis.addToStory(navigateTo,navigateFromTitle);\n\tthis.addToHistory(navigateTo,navigateFromClientRect);\n};\n\nStory.prototype.getStoryList = function() {\n\treturn this.wiki.getTiddlerList(this.storyTitle) || [];\n};\n\nStory.prototype.addToStory = function(navigateTo,navigateFromTitle,options) {\n\toptions = options || {};\n\tvar storyList = this.getStoryList();\n\t// See if the tiddler is already there\n\tvar slot = storyList.indexOf(navigateTo);\n\t// Quit if it already exists in the story river\n\tif(slot >= 0) {\n\t\treturn;\n\t}\n\t// First we try to find the position of the story element we navigated from\n\tvar fromIndex = storyList.indexOf(navigateFromTitle);\n\tif(fromIndex >= 0) {\n\t\t// The tiddler is added from inside the river\n\t\t// Determine where to insert the tiddler; Fallback is \"below\"\n\t\tswitch(options.openLinkFromInsideRiver) {\n\t\t\tcase \"top\":\n\t\t\t\tslot = 0;\n\t\t\t\tbreak;\n\t\t\tcase \"bottom\":\n\t\t\t\tslot = storyList.length;\n\t\t\t\tbreak;\n\t\t\tcase \"above\":\n\t\t\t\tslot = fromIndex;\n\t\t\t\tbreak;\n\t\t\tcase \"below\": // Intentional fall-through\n\t\t\tdefault:\n\t\t\t\tslot = fromIndex + 1;\n\t\t\t\tbreak;\n\t\t}\n\t} else {\n\t\t// The tiddler is opened from outside the river. Determine where to insert the tiddler; default is \"top\"\n\t\tif(options.openLinkFromOutsideRiver === \"bottom\") {\n\t\t\t// Insert at bottom\n\t\t\tslot = storyList.length;\n\t\t} else {\n\t\t\t// Insert at top\n\t\t\tslot = 0;\n\t\t}\n\t}\n\t// Add the tiddler\n\tstoryList.splice(slot,0,navigateTo);\n\t// Save the story\n\tthis.saveStoryList(storyList);\n};\n\nStory.prototype.saveStoryList = function(storyList) {\n\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\t{title: this.storyTitle},\n\t\tstoryTiddler,\n\t\t{list: storyList},\n\t\tthis.wiki.getModificationFields()\n\t));\n};\n\nStory.prototype.addToHistory = function(navigateTo,navigateFromClientRect) {\n\tvar titles = $tw.utils.isArray(navigateTo) ? navigateTo : [navigateTo];\n\t// Add a new record to the top of the history stack\n\tvar historyList = this.wiki.getTiddlerData(this.historyTitle,[]);\n\t$tw.utils.each(titles,function(title) {\n\t\thistoryList.push({title: title, fromPageRect: navigateFromClientRect});\n\t});\n\tthis.wiki.setTiddlerData(this.historyTitle,historyList,{\"current-tiddler\": titles[titles.length-1]});\n};\n\nStory.prototype.storyCloseTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCloseAllTiddlers = function() {\n// TBD\n};\n\nStory.prototype.storyCloseOtherTiddlers = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyEditTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyDeleteTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storySaveTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCancelTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyNewTiddler = function(targetTitle) {\n// TBD\n};\n\nexports.Story = Story;\n\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/storyviews/classic.js": {
            "title": "$:/core/modules/storyviews/classic.js",
            "text": "/*\\\ntitle: $:/core/modules/storyviews/classic.js\ntype: application/javascript\nmodule-type: storyview\n\nViews the story as a linear sequence\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ClassicStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nClassicStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar duration = $tw.utils.getAnimationDuration()\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\tif(duration) {\n\t\t// Scroll the node into view\n\t\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\t\n\t} else {\n\t\ttargetElement.scrollIntoView();\n\t}\n};\n\nClassicStoryView.prototype.insert = function(widget) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tif(duration) {\n\t\tvar targetElement = widget.findFirstDomNode();\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(targetElement instanceof Element)) {\n\t\t\treturn;\n\t\t}\n\t\t// Get the current height of the tiddler\n\t\tvar computedStyle = window.getComputedStyle(targetElement),\n\t\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t\t// Reset the margin once the transition is over\n\t\tsetTimeout(function() {\n\t\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t\t{transition: \"none\"},\n\t\t\t\t{marginBottom: \"\"}\n\t\t\t]);\n\t\t},duration);\n\t\t// Set up the initial position of the element\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t\t{opacity: \"0.0\"}\n\t\t]);\n\t\t$tw.utils.forceLayout(targetElement);\n\t\t// Transition to the final position\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t\t{opacity: \"1.0\"}\n\t]);\n\t}\n};\n\nClassicStoryView.prototype.remove = function(widget) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tif(duration) {\n\t\tvar targetElement = widget.findFirstDomNode(),\n\t\t\tremoveElement = function() {\n\t\t\t\twidget.removeChildDomNodes();\n\t\t\t};\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(targetElement instanceof Element)) {\n\t\t\tremoveElement();\n\t\t\treturn;\n\t\t}\n\t\t// Get the current height of the tiddler\n\t\tvar currWidth = targetElement.offsetWidth,\n\t\t\tcomputedStyle = window.getComputedStyle(targetElement),\n\t\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t\t// Remove the dom nodes of the widget at the end of the transition\n\t\tsetTimeout(removeElement,duration);\n\t\t// Animate the closure\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{transform: \"translateX(0px)\"},\n\t\t\t{marginBottom:  currMarginBottom + \"px\"},\n\t\t\t{opacity: \"1.0\"}\n\t\t]);\n\t\t$tw.utils.forceLayout(targetElement);\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t\t{transform: \"translateX(-\" + currWidth + \"px)\"},\n\t\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t\t{opacity: \"0.0\"}\n\t\t]);\n\t} else {\n\t\twidget.removeChildDomNodes();\n\t}\n};\n\nexports.classic = ClassicStoryView;\n\n})();",
            "type": "application/javascript",
            "module-type": "storyview"
        },
        "$:/core/modules/storyviews/pop.js": {
            "title": "$:/core/modules/storyviews/pop.js",
            "text": "/*\\\ntitle: $:/core/modules/storyviews/pop.js\ntype: application/javascript\nmodule-type: storyview\n\nAnimates list insertions and removals\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar PopStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nPopStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Scroll the node into view\n\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\n};\n\nPopStoryView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Reset once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{transform: \"none\"}\n\t\t]);\n\t\t$tw.utils.setStyle(widget.document.body,[\n\t\t\t{\"overflow-x\": \"\"}\n\t\t]);\n\t},duration);\n\t// Prevent the page from overscrolling due to the zoom factor\n\t$tw.utils.setStyle(widget.document.body,[\n\t\t{\"overflow-x\": \"hidden\"}\n\t]);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(2)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t// Transition to the final position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n};\n\nPopStoryView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\tif(targetElement && targetElement.parentNode) {\n\t\t\t\twidget.removeChildDomNodes();\n\t\t\t}\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Remove the element at the end of the transition\n\tsetTimeout(removeElement,duration);\n\t// Animate the closure\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(0.1)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n};\n\nexports.pop = PopStoryView;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "storyview"
        },
        "$:/core/modules/storyviews/zoomin.js": {
            "title": "$:/core/modules/storyviews/zoomin.js",
            "text": "/*\\\ntitle: $:/core/modules/storyviews/zoomin.js\ntype: application/javascript\nmodule-type: storyview\n\nZooms between individual tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ZoominListView = function(listWidget) {\n\tvar self = this;\n\tthis.listWidget = listWidget;\n\t// Get the index of the tiddler that is at the top of the history\n\tvar history = this.listWidget.wiki.getTiddlerDataCached(this.listWidget.historyTitle,[]),\n\t\ttargetTiddler;\n\tif(history.length > 0) {\n\t\ttargetTiddler = history[history.length-1].title;\n\t}\n\t// Make all the tiddlers position absolute, and hide all but the top (or first) one\n\t$tw.utils.each(this.listWidget.children,function(itemWidget,index) {\n\t\tvar domNode = itemWidget.findFirstDomNode();\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(domNode instanceof Element)) {\n\t\t\treturn;\n\t\t}\n\t\tif((targetTiddler && targetTiddler !== itemWidget.parseTreeNode.itemTitle) || (!targetTiddler && index)) {\n\t\t\tdomNode.style.display = \"none\";\n\t\t} else {\n\t\t\tself.currentTiddlerDomNode = domNode;\n\t\t}\n\t\t$tw.utils.addClass(domNode,\"tc-storyview-zoomin-tiddler\");\n\t});\n};\n\nZoominListView.prototype.navigateTo = function(historyInfo) {\n\tvar duration = $tw.utils.getAnimationDuration(),\n\t\tlistElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Make the new tiddler be position absolute and visible so that we can measure it\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"0 0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t// Get the position of the source node, or use the centre of the window as the source position\n\tvar sourceBounds = historyInfo.fromPageRect || {\n\t\t\tleft: window.innerWidth/2 - 2,\n\t\t\ttop: window.innerHeight/2 - 2,\n\t\t\twidth: window.innerWidth/8,\n\t\t\theight: window.innerHeight/8\n\t\t};\n\t// Try to find the title node in the target tiddler\n\tvar titleDomNode = findTitleDomNode(listItemWidget) || listItemWidget.findFirstDomNode(),\n\t\tzoomBounds = titleDomNode.getBoundingClientRect();\n\t// Compute the transform for the target tiddler to make the title lie over the source rectange\n\tvar targetBounds = targetElement.getBoundingClientRect(),\n\t\tscale = sourceBounds.width / zoomBounds.width,\n\t\tx = sourceBounds.left - targetBounds.left - (zoomBounds.left - targetBounds.left) * scale,\n\t\ty = sourceBounds.top - targetBounds.top - (zoomBounds.top - targetBounds.top) * scale;\n\t// Transform the target tiddler to its starting position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(targetElement);\n\t// Apply the ending transitions with a timeout to ensure that the previously applied transformations are applied first\n\tvar self = this,\n\t\tprevCurrentTiddler = this.currentTiddlerDomNode;\n\tthis.currentTiddlerDomNode = targetElement;\n\t// Transform the target tiddler to its natural size\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{zIndex: \"500\"},\n\t]);\n\t// Transform the previous tiddler out of the way and then hide it\n\tif(prevCurrentTiddler && prevCurrentTiddler !== targetElement) {\n\t\tscale = zoomBounds.width / sourceBounds.width;\n\t\tx =  zoomBounds.left - targetBounds.left - (sourceBounds.left - targetBounds.left) * scale;\n\t\ty =  zoomBounds.top - targetBounds.top - (sourceBounds.top - targetBounds.top) * scale;\n\t\t$tw.utils.setStyle(prevCurrentTiddler,[\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transformOrigin: \"0 0\"},\n\t\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"},\n\t\t\t{zIndex: \"0\"}\n\t\t]);\n\t\t// Hide the tiddler when the transition has finished\n\t\tsetTimeout(function() {\n\t\t\tif(self.currentTiddlerDomNode !== prevCurrentTiddler) {\n\t\t\t\tprevCurrentTiddler.style.display = \"none\";\n\t\t\t}\n\t\t},duration);\n\t}\n\t// Scroll the target into view\n//\t$tw.pageScroller.scrollIntoView(targetElement);\n};\n\n/*\nFind the first child DOM node of a widget that has the class \"tc-title\"\n*/\nfunction findTitleDomNode(widget,targetClass) {\n\ttargetClass = targetClass || \"tc-title\";\n\tvar domNode = widget.findFirstDomNode();\n\tif(domNode && domNode.querySelector) {\n\t\treturn domNode.querySelector(\".\" + targetClass);\n\t}\n\treturn null;\n}\n\nZoominListView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Make the newly inserted node position absolute and hidden\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"none\"}\n\t]);\n};\n\nZoominListView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\twidget.removeChildDomNodes();\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Abandon if hidden\n\tif(targetElement.style.display != \"block\" ) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Set up the tiddler that is being closed\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\t// We'll move back to the previous or next element in the story\n\tvar toWidget = widget.previousSibling();\n\tif(!toWidget) {\n\t\ttoWidget = widget.nextSibling();\n\t}\n\tvar toWidgetDomNode = toWidget && toWidget.findFirstDomNode();\n\t// Set up the tiddler we're moving back in\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.addClass(toWidgetDomNode,\"tc-storyview-zoomin-tiddler\");\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{display: \"block\"},\n\t\t\t{transformOrigin: \"50% 50%\"},\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(10)\"},\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0\"},\n\t\t\t{zIndex: \"500\"}\n\t\t]);\n\t\tthis.currentTiddlerDomNode = toWidgetDomNode;\n\t}\n\t// Animate them both\n\t// Force layout\n\t$tw.utils.forceLayout(this.listWidget.parentDomNode);\n\t// First, the tiddler we're closing\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(0.1)\"},\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"0\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\tsetTimeout(removeElement,duration);\n\t// Now the tiddler we're going back to\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t\t{opacity: \"1\"}\n\t\t]);\n\t}\n\treturn true; // Indicate that we'll delete the DOM node\n};\n\nexports.zoomin = ZoominListView;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "storyview"
        },
        "$:/core/modules/syncer.js": {
            "title": "$:/core/modules/syncer.js",
            "text": "/*\\\ntitle: $:/core/modules/syncer.js\ntype: application/javascript\nmodule-type: global\n\nThe syncer tracks changes to the store and synchronises them to a remote data store represented as a \"sync adaptor\"\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDefaults\n*/\nSyncer.prototype.titleIsLoggedIn = \"$:/status/IsLoggedIn\";\nSyncer.prototype.titleIsAnonymous = \"$:/status/IsAnonymous\";\nSyncer.prototype.titleIsReadOnly = \"$:/status/IsReadOnly\";\nSyncer.prototype.titleUserName = \"$:/status/UserName\";\nSyncer.prototype.titleSyncFilter = \"$:/config/SyncFilter\";\nSyncer.prototype.titleSyncPollingInterval = \"$:/config/SyncPollingInterval\";\nSyncer.prototype.titleSyncDisableLazyLoading = \"$:/config/SyncDisableLazyLoading\";\nSyncer.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\nSyncer.prototype.titleSyncThrottleInterval = \"$:/config/SyncThrottleInterval\";\nSyncer.prototype.taskTimerInterval = 1 * 1000; // Interval for sync timer\nSyncer.prototype.throttleInterval = 1 * 1000; // Defer saving tiddlers if they've changed in the last 1s...\nSyncer.prototype.errorRetryInterval = 5 * 1000; // Interval to retry after an error\nSyncer.prototype.fallbackInterval = 10 * 1000; // Unless the task is older than 10s\nSyncer.prototype.pollTimerInterval = 60 * 1000; // Interval for polling for changes from the adaptor\n\n/*\nInstantiate the syncer with the following options:\nsyncadaptor: reference to syncadaptor to be used\nwiki: wiki to be synced\n*/\nfunction Syncer(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\t// Save parameters\n\tthis.syncadaptor = options.syncadaptor;\n\tthis.disableUI = !!options.disableUI;\n\tthis.titleIsLoggedIn = options.titleIsLoggedIn || this.titleIsLoggedIn;\n\tthis.titleUserName = options.titleUserName || this.titleUserName;\n\tthis.titleSyncFilter = options.titleSyncFilter || this.titleSyncFilter;\n\tthis.titleSavedNotification = options.titleSavedNotification || this.titleSavedNotification;\n\tthis.taskTimerInterval = options.taskTimerInterval || this.taskTimerInterval;\n\tthis.throttleInterval = options.throttleInterval || parseInt(this.wiki.getTiddlerText(this.titleSyncThrottleInterval,\"\"),10) || this.throttleInterval;\n\tthis.errorRetryInterval = options.errorRetryInterval || this.errorRetryInterval;\n\tthis.fallbackInterval = options.fallbackInterval || this.fallbackInterval;\n\tthis.pollTimerInterval = options.pollTimerInterval || parseInt(this.wiki.getTiddlerText(this.titleSyncPollingInterval,\"\"),10) || this.pollTimerInterval;\n\tthis.logging = \"logging\" in options ? options.logging : true;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"syncer\" + ($tw.browser ? \"-browser\" : \"\") + ($tw.node ? \"-server\" : \"\")  + (this.syncadaptor.name ? (\"-\" + this.syncadaptor.name) : \"\"),{\n\t\tcolour: \"cyan\",\n\t\tenable: this.logging,\n\t\tsaveHistory: true\n\t});\n\t// Make another logger for connection errors\n\tthis.loggerConnection = new $tw.utils.Logger(\"syncer\" + ($tw.browser ? \"-browser\" : \"\") + ($tw.node ? \"-server\" : \"\")  + (this.syncadaptor.name ? (\"-\" + this.syncadaptor.name) : \"\") + \"-connection\",{\n\t\tcolour: \"cyan\",\n\t\tenable: this.logging\n\t});\n\t// Ask the syncadaptor to use the main logger\n\tif(this.syncadaptor.setLoggerSaveBuffer) {\n\t\tthis.syncadaptor.setLoggerSaveBuffer(this.logger);\n\t}\n\t// Compile the dirty tiddler filter\n\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t// Record information for known tiddlers\n\tthis.readTiddlerInfo();\n\tthis.titlesToBeLoaded = {}; // Hashmap of titles of tiddlers that need loading from the server\n\tthis.titlesHaveBeenLazyLoaded = {}; // Hashmap of titles of tiddlers that have already been lazily loaded from the server\n\t// Timers\n\tthis.taskTimerId = null; // Timer for task dispatch\n\tthis.pollTimerId = null; // Timer for polling server\n\t// Number of outstanding requests\n\tthis.numTasksInProgress = 0;\n\t// Listen out for changes to tiddlers\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\t// Filter the changes to just include ones that are being synced\n\t\tvar filteredChanges = self.getSyncedTiddlers(function(callback) {\n\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\tvar tiddler = self.wiki.tiddlerExists(title) && self.wiki.getTiddler(title);\n\t\t\t\tcallback(tiddler,title);\n\t\t\t});\n\t\t});\n\t\tif(filteredChanges.length > 0) {\n\t\t\tself.processTaskQueue();\n\t\t} else {\n\t\t\t// Look for deletions of tiddlers we're already syncing\t\n\t\t\tvar outstandingDeletion = false\n\t\t\t$tw.utils.each(changes,function(change,title,object) {\n\t\t\t\tif(change.deleted && $tw.utils.hop(self.tiddlerInfo,title)) {\n\t\t\t\t\toutstandingDeletion = true;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif(outstandingDeletion) {\n\t\t\t\tself.processTaskQueue();\n\t\t\t}\n\t\t}\n\t});\n\t// Browser event handlers\n\tif($tw.browser && !this.disableUI) {\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t\t// Listen out for login/logout/refresh events in the browser\n\t\t$tw.rootWidget.addEventListener(\"tm-login\",function() {\n\t\t\tself.handleLoginEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-logout\",function() {\n\t\t\tself.handleLogoutEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-server-refresh\",function() {\n\t\t\tself.handleRefreshEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-copy-syncer-logs-to-clipboard\",function() {\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getSystemInfo() + \"\\n\\nLog:\\n\" + self.logger.getBuffer());\n\t\t});\n\t}\n\t// Listen out for lazyLoad events\n\tif(!this.disableUI && $tw.wiki.getTiddlerText(this.titleSyncDisableLazyLoading) !== \"yes\") {\n\t\tthis.wiki.addEventListener(\"lazyLoad\",function(title) {\n\t\t\tself.handleLazyLoadEvent(title);\n\t\t});\t\t\n\t}\n\t// Get the login status\n\tthis.getStatus(function(err,isLoggedIn) {\n\t\t// Do a sync from the server\n\t\tself.syncFromServer();\n\t});\n}\n\n/*\nShow a generic network error alert\n*/\nSyncer.prototype.displayError = function(msg,err) {\n\tif(err === ($tw.language.getString(\"Error/XMLHttpRequest\") + \": 0\")) {\n\t\tthis.loggerConnection.alert($tw.language.getString(\"Error/NetworkErrorAlert\"));\n\t\tthis.logger.log(msg + \":\",err);\n\t} else {\n\t\tthis.logger.alert(msg + \":\",err);\n\t}\n};\n\n/*\nReturn an array of the tiddler titles that are subjected to syncing\n*/\nSyncer.prototype.getSyncedTiddlers = function(source) {\n\treturn this.filterFn.call(this.wiki,source);\n};\n\n/*\nReturn an array of the tiddler titles that are subjected to syncing\n*/\nSyncer.prototype.getTiddlerRevision = function(title) {\n\tif(this.syncadaptor && this.syncadaptor.getTiddlerRevision) {\n\t\treturn this.syncadaptor.getTiddlerRevision(title);\n\t} else {\n\t\treturn this.wiki.getTiddler(title).fields.revision;\t\n\t} \n};\n\n/*\nRead (or re-read) the latest tiddler info from the store\n*/\nSyncer.prototype.readTiddlerInfo = function() {\n\t// Hashmap by title of {revision:,changeCount:,adaptorInfo:}\n\t// \"revision\" is the revision of the tiddler last seen on the server, and \"changecount\" is the corresponding local changecount\n\tthis.tiddlerInfo = {};\n\t// Record information for known tiddlers\n\tvar self = this,\n\t\ttiddlers = this.getSyncedTiddlers();\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.tiddlerExists(title) && self.wiki.getTiddler(title);\n\t\tself.tiddlerInfo[title] = {\n\t\t\trevision: self.getTiddlerRevision(title),\n\t\t\tadaptorInfo: self.syncadaptor && self.syncadaptor.getTiddlerInfo(tiddler),\n\t\t\tchangeCount: self.wiki.getChangeCount(title)\n\t\t};\n\t});\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSyncer.prototype.isDirty = function() {\n\tthis.logger.log(\"Checking dirty status\");\n\t// Check tiddlers that are in the store and included in the filter function\n\tvar titles = this.getSyncedTiddlers();\n\tfor(var index=0; index<titles.length; index++) {\n\t\tvar title = titles[index],\n\t\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\tif(this.wiki.tiddlerExists(title)) {\n\t\t\tif(tiddlerInfo) {\n\t\t\t\t// If the tiddler is known on the server and has been modified locally then it needs to be saved to the server\n\t\t\t\tif($tw.wiki.getChangeCount(title) > tiddlerInfo.changeCount) {\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// If the tiddler isn't known on the server then it needs to be saved to the server\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t}\n\t// Check tiddlers that are known from the server but not currently in the store\n\ttitles = Object.keys(this.tiddlerInfo);\n\tfor(index=0; index<titles.length; index++) {\n\t\tif(!this.wiki.tiddlerExists(titles[index])) {\n\t\t\t// There must be a pending delete\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSyncer.prototype.updateDirtyStatus = function() {\n\tif($tw.browser && !this.disableUI) {\n\t\tvar dirty = this.isDirty();\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",dirty);\n\t\tif(!dirty) {\n\t\t\tthis.loggerConnection.clearAlerts();\n\t\t}\n\t}\n};\n\n/*\nSave an incoming tiddler in the store, and updates the associated tiddlerInfo\n*/\nSyncer.prototype.storeTiddler = function(tiddlerFields) {\n\t// Save the tiddler\n\tvar tiddler = new $tw.Tiddler(tiddlerFields);\n\tthis.wiki.addTiddler(tiddler);\n\t// Save the tiddler revision and changeCount details\n\tthis.tiddlerInfo[tiddlerFields.title] = {\n\t\trevision: this.getTiddlerRevision(tiddlerFields.title),\n\t\tadaptorInfo: this.syncadaptor.getTiddlerInfo(tiddler),\n\t\tchangeCount: this.wiki.getChangeCount(tiddlerFields.title)\n\t};\n};\n\nSyncer.prototype.getStatus = function(callback) {\n\tvar self = this;\n\t// Check if the adaptor supports getStatus()\n\tif(this.syncadaptor && this.syncadaptor.getStatus) {\n\t\t// Mark us as not logged in\n\t\tthis.wiki.addTiddler({title: this.titleIsLoggedIn,text: \"no\"});\n\t\t// Get login status\n\t\tthis.syncadaptor.getStatus(function(err,isLoggedIn,username,isReadOnly,isAnonymous) {\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(err);\n\t\t\t} else {\n\t\t\t\t// Set the various status tiddlers\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsReadOnly,text: isReadOnly ? \"yes\" : \"no\"});\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsAnonymous,text: isAnonymous ? \"yes\" : \"no\"});\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsLoggedIn,text: isLoggedIn ? \"yes\" : \"no\"});\n\t\t\t\tif(isLoggedIn) {\n\t\t\t\t\tself.wiki.addTiddler({title: self.titleUserName,text: username || \"\"});\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Invoke the callback\n\t\t\tif(callback) {\n\t\t\t\tcallback(err,isLoggedIn,username);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tcallback(null,true,\"UNAUTHENTICATED\");\n\t}\n};\n\n/*\nSynchronise from the server by reading the skinny tiddler list and queuing up loads for any tiddlers that we don't already have up to date\n*/\nSyncer.prototype.syncFromServer = function() {\n\tvar self = this,\n\t\tcancelNextSync = function() {\n\t\t\tif(self.pollTimerId) {\n\t\t\t\tclearTimeout(self.pollTimerId);\n\t\t\t\tself.pollTimerId = null;\n\t\t\t}\n\t\t},\n\t\ttriggerNextSync = function() {\n\t\t\tself.pollTimerId = setTimeout(function() {\n\t\t\t\tself.pollTimerId = null;\n\t\t\t\tself.syncFromServer.call(self);\n\t\t\t},self.pollTimerInterval);\n\t\t};\n\tif(this.syncadaptor && this.syncadaptor.getUpdatedTiddlers) {\n\t\tthis.logger.log(\"Retrieving updated tiddler list\");\n\t\tcancelNextSync();\n\t\tthis.syncadaptor.getUpdatedTiddlers(self,function(err,updates) {\n\t\t\ttriggerNextSync();\n\t\t\tif(err) {\n\t\t\t\tself.displayError($tw.language.getString(\"Error/RetrievingSkinny\"),err);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tif(updates) {\n\t\t\t\t$tw.utils.each(updates.modifications,function(title) {\n\t\t\t\t\tself.titlesToBeLoaded[title] = true;\n\t\t\t\t});\n\t\t\t\t$tw.utils.each(updates.deletions,function(title) {\n\t\t\t\t\tdelete self.tiddlerInfo[title];\n\t\t\t\t\tself.logger.log(\"Deleting tiddler missing from server:\",title);\n\t\t\t\t\tself.wiki.deleteTiddler(title);\n\t\t\t\t});\n\t\t\t\tif(updates.modifications.length > 0 || updates.deletions.length > 0) {\n\t\t\t\t\tself.processTaskQueue();\n\t\t\t\t}\t\t\t\t\n\t\t\t}\n\t\t});\n\t} else if(this.syncadaptor && this.syncadaptor.getSkinnyTiddlers) {\n\t\tthis.logger.log(\"Retrieving skinny tiddler list\");\n\t\tcancelNextSync();\n\t\tthis.syncadaptor.getSkinnyTiddlers(function(err,tiddlers) {\n\t\t\ttriggerNextSync();\n\t\t\t// Check for errors\n\t\t\tif(err) {\n\t\t\t\tself.displayError($tw.language.getString(\"Error/RetrievingSkinny\"),err);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t// Keep track of which tiddlers we already know about have been reported this time\n\t\t\tvar previousTitles = Object.keys(self.tiddlerInfo);\n\t\t\t// Process each incoming tiddler\n\t\t\tfor(var t=0; t<tiddlers.length; t++) {\n\t\t\t\t// Get the incoming tiddler fields, and the existing tiddler\n\t\t\t\tvar tiddlerFields = tiddlers[t],\n\t\t\t\t\tincomingRevision = tiddlerFields.revision + \"\",\n\t\t\t\t\ttiddler = self.wiki.tiddlerExists(tiddlerFields.title) && self.wiki.getTiddler(tiddlerFields.title),\n\t\t\t\t\ttiddlerInfo = self.tiddlerInfo[tiddlerFields.title],\n\t\t\t\t\tcurrRevision = tiddlerInfo ? tiddlerInfo.revision : null,\n\t\t\t\t\tindexInPreviousTitles = previousTitles.indexOf(tiddlerFields.title);\n\t\t\t\tif(indexInPreviousTitles !== -1) {\n\t\t\t\t\tpreviousTitles.splice(indexInPreviousTitles,1);\n\t\t\t\t}\n\t\t\t\t// Ignore the incoming tiddler if it's the same as the revision we've already got\n\t\t\t\tif(currRevision !== incomingRevision) {\n\t\t\t\t\t// Only load the skinny version if we don't already have a fat version of the tiddler\n\t\t\t\t\tif(!tiddler || tiddler.fields.text === undefined) {\n\t\t\t\t\t\tself.storeTiddler(tiddlerFields);\n\t\t\t\t\t}\n\t\t\t\t\t// Do a full load of this tiddler\n\t\t\t\t\tself.titlesToBeLoaded[tiddlerFields.title] = true;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Delete any tiddlers that were previously reported but missing this time\n\t\t\t$tw.utils.each(previousTitles,function(title) {\n\t\t\t\tdelete self.tiddlerInfo[title];\n\t\t\t\tself.logger.log(\"Deleting tiddler missing from server:\",title);\n\t\t\t\tself.wiki.deleteTiddler(title);\n\t\t\t});\n\t\t\tself.processTaskQueue();\n\t\t});\n\t}\n};\n\n/*\nForce load a tiddler from the server\n*/\nSyncer.prototype.enqueueLoadTiddler = function(title) {\n\tthis.titlesToBeLoaded[title] = true;\n\tthis.processTaskQueue();\n};\n\n/*\nLazily load a skinny tiddler if we can\n*/\nSyncer.prototype.handleLazyLoadEvent = function(title) {\n\t// Ignore if the syncadaptor doesn't handle it\n\tif(!this.syncadaptor.supportsLazyLoading) {\n\t\treturn;\n\t}\n\t// Don't lazy load the same tiddler twice\n\tif(!this.titlesHaveBeenLazyLoaded[title]) {\n\t\t// Don't lazy load if the tiddler isn't included in the sync filter\n\t\tif(this.getSyncedTiddlers().indexOf(title) !== -1) {\n\t\t\t// Mark the tiddler as needing loading, and having already been lazily loaded\n\t\t\tthis.titlesToBeLoaded[title] = true;\n\t\t\tthis.titlesHaveBeenLazyLoaded[title] = true;\n\t\t}\n\t}\n};\n\n/*\nDispay a password prompt and allow the user to login\n*/\nSyncer.prototype.handleLoginEvent = function() {\n\tvar self = this;\n\tthis.getStatus(function(err,isLoggedIn,username) {\n\t\tif(!err && !isLoggedIn) {\n\t\t\t$tw.passwordPrompt.createPrompt({\n\t\t\t\tserviceName: $tw.language.getString(\"LoginToTiddlySpace\"),\n\t\t\t\tcallback: function(data) {\n\t\t\t\t\tself.login(data.username,data.password,function(err,isLoggedIn) {\n\t\t\t\t\t\tself.syncFromServer();\n\t\t\t\t\t});\n\t\t\t\t\treturn true; // Get rid of the password prompt\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n};\n\n/*\nAttempt to login to TiddlyWeb.\n\tusername: username\n\tpassword: password\n\tcallback: invoked with arguments (err,isLoggedIn)\n*/\nSyncer.prototype.login = function(username,password,callback) {\n\tthis.logger.log(\"Attempting to login as\",username);\n\tvar self = this;\n\tif(this.syncadaptor.login) {\n\t\tthis.syncadaptor.login(username,password,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.getStatus(function(err,isLoggedIn,username) {\n\t\t\t\tif(callback) {\n\t\t\t\t\tcallback(err,isLoggedIn);\n\t\t\t\t}\n\t\t\t});\n\t\t});\n\t} else {\n\t\tcallback(null,true);\n\t}\n};\n\n/*\nAttempt to log out of TiddlyWeb\n*/\nSyncer.prototype.handleLogoutEvent = function() {\n\tthis.logger.log(\"Attempting to logout\");\n\tvar self = this;\n\tif(this.syncadaptor.logout) {\n\t\tthis.syncadaptor.logout(function(err) {\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(err);\n\t\t\t} else {\n\t\t\t\tself.getStatus();\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nImmediately refresh from the server\n*/\nSyncer.prototype.handleRefreshEvent = function() {\n\tthis.syncFromServer();\n};\n\n/*\nProcess the next task\n*/\nSyncer.prototype.processTaskQueue = function() {\n\tvar self = this;\n\t// Only process a task if the sync adaptor is fully initialised and we're not already performing\n\t// a task. If we are already performing a task then we'll dispatch the next one when it completes\n\tif((!this.syncadaptor.isReady || this.syncadaptor.isReady()) && this.numTasksInProgress === 0) {\n\t\t// Choose the next task to perform\n\t\tvar task = this.chooseNextTask();\n\t\t// Perform the task if we had one\n\t\tif(typeof task === \"object\" && task !== null) {\n\t\t\tthis.numTasksInProgress += 1;\n\t\t\ttask.run(function(err) {\n\t\t\t\tself.numTasksInProgress -= 1;\n\t\t\t\tif(err) {\n\t\t\t\t\tself.displayError(\"Sync error while processing \" + task.type + \" of '\" + task.title + \"'\",err);\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t\tself.triggerTimeout(self.errorRetryInterval);\n\t\t\t\t} else {\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t\t// Process the next task\n\t\t\t\t\tself.processTaskQueue.call(self);\t\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\t// No task is ready so update the status\n\t\t\tthis.updateDirtyStatus();\n\t\t\t// And trigger a timeout if there is a pending task\n\t\t\tif(task === true) {\n\t\t\t\tthis.triggerTimeout();\t\t\t\t\n\t\t\t}\n\t\t}\n\t} else {\n\t\tthis.updateDirtyStatus();\t\t\n\t}\n};\n\nSyncer.prototype.triggerTimeout = function(interval) {\n\tvar self = this;\n\tif(!this.taskTimerId) {\n\t\tthis.taskTimerId = setTimeout(function() {\n\t\t\tself.taskTimerId = null;\n\t\t\tself.processTaskQueue.call(self);\n\t\t},interval || self.taskTimerInterval);\n\t}\n};\n\n/*\nChoose the next sync task. We prioritise saves, then deletes, then loads from the server\n\nReturns either a task object, null if there's no upcoming tasks, or the boolean true if there are pending tasks that aren't yet due\n*/\nSyncer.prototype.chooseNextTask = function() {\n\tvar thresholdLastSaved = (new Date()) - this.throttleInterval,\n\t\thavePending = null;\n\t// First we look for tiddlers that have been modified locally and need saving back to the server\n\tvar titles = this.getSyncedTiddlers();\n\tfor(var index=0; index<titles.length; index++) {\n\t\tvar title = titles[index],\n\t\t\ttiddler = this.wiki.tiddlerExists(title) && this.wiki.getTiddler(title),\n\t\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\tif(tiddler) {\n\t\t\t// If the tiddler is not known on the server, or has been modified locally no more recently than the threshold then it needs to be saved to the server\n\t\t\tvar hasChanged = !tiddlerInfo || $tw.wiki.getChangeCount(title) > tiddlerInfo.changeCount,\n\t\t\t\tisReadyToSave = !tiddlerInfo || !tiddlerInfo.timestampLastSaved || tiddlerInfo.timestampLastSaved < thresholdLastSaved;\n\t\t\tif(hasChanged) {\n\t\t\t\tif(isReadyToSave) {\n\t\t\t\t\treturn new SaveTiddlerTask(this,title); \t\t\t\t\t\n\t\t\t\t} else {\n\t\t\t\t\thavePending = true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\t// Second, we check tiddlers that are known from the server but not currently in the store, and so need deleting on the server\n\ttitles = Object.keys(this.tiddlerInfo);\n\tfor(index=0; index<titles.length; index++) {\n\t\ttitle = titles[index];\n\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\ttiddler = this.wiki.tiddlerExists(title) && this.wiki.getTiddler(title);\n\t\tif(!tiddler) {\n\t\t\treturn new DeleteTiddlerTask(this,title);\n\t\t}\n\t}\n\t// Check for tiddlers that need loading\n\ttitle = Object.keys(this.titlesToBeLoaded)[0];\n\tif(title) {\n\t\tdelete this.titlesToBeLoaded[title];\n\t\treturn new LoadTiddlerTask(this,title);\n\t}\n\t// No tasks are ready\n\treturn havePending;\n};\n\nfunction SaveTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"save\";\n}\n\nSaveTiddlerTask.prototype.run = function(callback) {\n\tvar self = this,\n\t\tchangeCount = this.syncer.wiki.getChangeCount(this.title),\n\t\ttiddler = this.syncer.wiki.tiddlerExists(this.title) && this.syncer.wiki.getTiddler(this.title);\n\tthis.syncer.logger.log(\"Dispatching 'save' task:\",this.title);\n\tif(tiddler) {\n\t\tthis.syncer.syncadaptor.saveTiddler(tiddler,function(err,adaptorInfo,revision) {\n\t\t\t// If there's an error, exit without changing any internal state\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\t// Adjust the info stored about this tiddler\n\t\t\tself.syncer.tiddlerInfo[self.title] = {\n\t\t\t\tchangeCount: changeCount,\n\t\t\t\tadaptorInfo: adaptorInfo,\n\t\t\t\trevision: revision,\n\t\t\t\ttimestampLastSaved: new Date()\n\t\t\t};\n\t\t\t// Invoke the callback\n\t\t\tcallback(null);\n\t\t});\n\t} else {\n\t\tthis.syncer.logger.log(\" Not Dispatching 'save' task:\",this.title,\"tiddler does not exist\");\n\t\t$tw.utils.nextTick(callback(null));\n\t}\n};\n\nfunction DeleteTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"delete\";\n}\n\nDeleteTiddlerTask.prototype.run = function(callback) {\n\tvar self = this;\n\tthis.syncer.logger.log(\"Dispatching 'delete' task:\",this.title);\n\tthis.syncer.syncadaptor.deleteTiddler(this.title,function(err) {\n\t\t// If there's an error, exit without changing any internal state\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\t// Remove the info stored about this tiddler\n\t\tdelete self.syncer.tiddlerInfo[self.title];\n\t\t// Invoke the callback\n\t\tcallback(null);\n\t},{\n\t\ttiddlerInfo: self.syncer.tiddlerInfo[this.title]\n\t});\n};\n\nfunction LoadTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"load\";\n}\n\nLoadTiddlerTask.prototype.run = function(callback) {\n\tvar self = this;\n\tthis.syncer.logger.log(\"Dispatching 'load' task:\",this.title);\n\tthis.syncer.syncadaptor.loadTiddler(this.title,function(err,tiddlerFields) {\n\t\t// If there's an error, exit without changing any internal state\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\t// Update the info stored about this tiddler\n\t\tif(tiddlerFields) {\n\t\t\tself.syncer.storeTiddler(tiddlerFields);\n\t\t}\n\t\t// Invoke the callback\n\t\tcallback(null);\n\t});\n};\n\nexports.Syncer = Syncer;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/tiddler.js": {
            "title": "$:/core/modules/tiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/tiddler.js\ntype: application/javascript\nmodule-type: tiddlermethod\n\nExtension methods for the $tw.Tiddler object (constructor and methods required at boot time are in boot/boot.js)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.hasTag = function(tag) {\n\treturn this.fields.tags && this.fields.tags.indexOf(tag) !== -1;\n};\n\nexports.isPlugin = function() {\n\treturn this.fields.type === \"application/json\" && this.hasField(\"plugin-type\");\n};\n\nexports.isDraft = function() {\n\treturn this.hasField(\"draft.of\");\n};\n\nexports.getFieldString = function(field) {\n\tvar value = this.fields[field];\n\t// Check for a missing field\n\tif(value === undefined || value === null) {\n\t\treturn \"\";\n\t}\n\t// Parse the field with the associated module (if any)\n\tvar fieldModule = $tw.Tiddler.fieldModules[field];\n\tif(fieldModule && fieldModule.stringify) {\n\t\treturn fieldModule.stringify.call(this,value);\n\t} else {\n\t\treturn value.toString();\n\t}\n};\n\n/*\nGet the value of a field as a list\n*/\nexports.getFieldList = function(field) {\n\tvar value = this.fields[field];\n\t// Check for a missing field\n\tif(value === undefined || value === null) {\n\t\treturn [];\n\t}\n\treturn $tw.utils.parseStringArray(value);\n};\n\n/*\nGet all the fields as a hashmap of strings. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStrings = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [];\n\tvar fields = {};\n\tfor(var field in this.fields) {\n\t\tif($tw.utils.hop(this.fields,field)) {\n\t\t\tif(exclude.indexOf(field) === -1) {\n\t\t\t\tfields[field] = this.getFieldString(field);\n\t\t\t}\n\t\t}\n\t}\n\treturn fields;\n};\n\n/*\nGet all the fields as a name:value block. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStringBlock = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [],\n\t\tfields = Object.keys(this.fields).sort(),\n\t\tresult = [];\n\tfor(var t=0; t<fields.length; t++) {\n\t\tvar field = fields[t];\n\t\tif(exclude.indexOf(field) === -1) {\n\t\t\tresult.push(field + \": \" + this.getFieldString(field));\n\t\t}\n\t}\n\treturn result.join(\"\\n\");\n};\n\nexports.getFieldDay = function(field) {\n\tif(this.cache && this.cache.day && $tw.utils.hop(this.cache.day,field) ) {\n\t\treturn this.cache.day[field];\n\t}\n\tvar day = \"\";\n\tif(this.fields[field]) {\n\t\tday = (new Date($tw.utils.parseDate(this.fields[field]))).setHours(0,0,0,0);\n\t}\n\tthis.cache.day = this.cache.day || {};\n\tthis.cache.day[field] = day;\n\treturn day;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "tiddlermethod"
        },
        "$:/core/modules/upgraders/plugins.js": {
            "title": "$:/core/modules/upgraders/plugins.js",
            "text": "/*\\\ntitle: $:/core/modules/upgraders/plugins.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that checks that plugins are newer than any already installed version\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar BLOCKED_PLUGINS = {\n\t\"$:/themes/tiddlywiki/stickytitles\": {\n\t\tversions: [\"*\"]\n\t},\n\t\"$:/plugins/tiddlywiki/fullscreen\": {\n\t\tversions: [\"*\"]\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {},\n\t\tupgradeLibrary,\n\t\tgetLibraryTiddler = function(title) {\n\t\t\tif(!upgradeLibrary) {\n\t\t\t\tupgradeLibrary = wiki.getTiddlerData(UPGRADE_LIBRARY_TITLE,{});\n\t\t\t\tupgradeLibrary.tiddlers = upgradeLibrary.tiddlers || {};\n\t\t\t}\n\t\t\treturn upgradeLibrary.tiddlers[title];\n\t\t};\n\n\t// Go through all the incoming tiddlers\n\t$tw.utils.each(titles,function(title) {\n\t\tvar incomingTiddler = tiddlers[title];\n\t\t// Check if we're dealing with a plugin\n\t\tif(incomingTiddler && incomingTiddler[\"plugin-type\"]) {\n\t\t\t// Check whether the plugin contains JS modules\n\t\t\tvar requiresReload = $tw.wiki.doesPluginInfoRequireReload(JSON.parse(incomingTiddler.text)) ? ($tw.wiki.getTiddlerText(\"$:/language/ControlPanel/Plugins/PluginWillRequireReload\") + \" \") : \"\";\n\t\t\tmessages[title] = requiresReload;\n\t\t\tif(incomingTiddler.version) {\n\t\t\t\t// Upgrade the incoming plugin if it is in the upgrade library\n\t\t\t\tvar libraryTiddler = getLibraryTiddler(title);\n\t\t\t\tif(libraryTiddler && libraryTiddler[\"plugin-type\"] && libraryTiddler.version) {\n\t\t\t\t\ttiddlers[title] = libraryTiddler;\n\t\t\t\t\tmessages[title] = requiresReload + $tw.language.getString(\"Import/Upgrader/Plugins/Upgraded\",{variables: {incoming: incomingTiddler.version, upgraded: libraryTiddler.version}});\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t\t// Suppress the incoming plugin if it is older than the currently installed one\n\t\t\t\tvar existingTiddler = wiki.getTiddler(title);\n\t\t\t\tif(existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t\t\t\t// Reject the incoming plugin by blanking all its fields\n\t\t\t\t\tif($tw.utils.checkVersions(existingTiddler.fields.version,incomingTiddler.version)) {\n\t\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\t\tmessages[title] = requiresReload + $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Version\",{variables: {incoming: incomingTiddler.version, existing: existingTiddler.fields.version}});\n\t\t\t\t\t\treturn;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Check whether the plugin is on the blocked list\n\t\t\tvar blockInfo = BLOCKED_PLUGINS[title];\n\t\t\tif(blockInfo) {\n\t\t\t\tif(blockInfo.versions.indexOf(\"*\") !== -1 || (incomingTiddler.version && blockInfo.versions.indexOf(incomingTiddler.version) !== -1)) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Incompatible\");\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "upgrader"
        },
        "$:/core/modules/upgraders/system.js": {
            "title": "$:/core/modules/upgraders/system.js",
            "text": "/*\\\ntitle: $:/core/modules/upgraders/system.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that suppresses certain system tiddlers that shouldn't be imported\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DONT_IMPORT_LIST = [\"$:/StoryList\",\"$:/HistoryList\"],\n\tDONT_IMPORT_PREFIX_LIST = [\"$:/temp/\",\"$:/state/\",\"$:/Import\"],\n\tWARN_IMPORT_PREFIX_LIST = [\"$:/core/modules/\"];\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {},\n\t\tshowAlert = false;\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tif(DONT_IMPORT_LIST.indexOf(title) !== -1) {\n\t\t\ttiddlers[title] = Object.create(null);\n\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/System/Suppressed\");\n\t\t} else {\n\t\t\tfor(var t=0; t<DONT_IMPORT_PREFIX_LIST.length; t++) {\n\t\t\t\tvar prefix = DONT_IMPORT_PREFIX_LIST[t];\n\t\t\t\tif(title.substr(0,prefix.length) === prefix) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/State/Suppressed\");\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor(var t=0; t<WARN_IMPORT_PREFIX_LIST.length; t++) {\n\t\t\t\tvar prefix = WARN_IMPORT_PREFIX_LIST[t];\n\t\t\t\tif(title.substr(0,prefix.length) === prefix && wiki.isShadowTiddler(title)) {\n\t\t\t\t\tshowAlert = true;\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/System/Warning\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\tif(showAlert) {\n\t\tvar logger = new $tw.utils.Logger(\"import\");\n\t\tlogger.alert($tw.language.getString(\"Import/Upgrader/System/Alert\"));\n\t}\n\treturn messages;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "upgrader"
        },
        "$:/core/modules/upgraders/themetweaks.js": {
            "title": "$:/core/modules/upgraders/themetweaks.js",
            "text": "/*\\\ntitle: $:/core/modules/upgraders/themetweaks.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that handles the change in theme tweak storage introduced in 5.0.14-beta.\n\nPreviously, theme tweaks were stored in two data tiddlers:\n\n* $:/themes/tiddlywiki/vanilla/metrics\n* $:/themes/tiddlywiki/vanilla/settings\n\nNow, each tweak is stored in its own separate tiddler.\n\nThis upgrader copies any values from the old format to the new. The old data tiddlers are not deleted in case they have been used to store additional indexes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar MAPPINGS = {\n\t\"$:/themes/tiddlywiki/vanilla/metrics\": {\n\t\t\"fontsize\": \"$:/themes/tiddlywiki/vanilla/metrics/fontsize\",\n\t\t\"lineheight\": \"$:/themes/tiddlywiki/vanilla/metrics/lineheight\",\n\t\t\"storyleft\": \"$:/themes/tiddlywiki/vanilla/metrics/storyleft\",\n\t\t\"storytop\": \"$:/themes/tiddlywiki/vanilla/metrics/storytop\",\n\t\t\"storyright\": \"$:/themes/tiddlywiki/vanilla/metrics/storyright\",\n\t\t\"storywidth\": \"$:/themes/tiddlywiki/vanilla/metrics/storywidth\",\n\t\t\"tiddlerwidth\": \"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"\n\t},\n\t\"$:/themes/tiddlywiki/vanilla/settings\": {\n\t\t\"fontfamily\": \"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {};\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tvar mapping = MAPPINGS[title];\n\t\tif(mapping) {\n\t\t\tvar tiddler = new $tw.Tiddler(tiddlers[title]),\n\t\t\t\ttiddlerData = wiki.getTiddlerDataCached(tiddler,{});\n\t\t\tfor(var index in mapping) {\n\t\t\t\tvar mappedTitle = mapping[index];\n\t\t\t\tif(!tiddlers[mappedTitle] || tiddlers[mappedTitle].title !== mappedTitle) {\n\t\t\t\t\ttiddlers[mappedTitle] = {\n\t\t\t\t\t\ttitle: mappedTitle,\n\t\t\t\t\t\ttext: tiddlerData[index]\n\t\t\t\t\t};\n\t\t\t\t\tmessages[mappedTitle] = $tw.language.getString(\"Import/Upgrader/ThemeTweaks/Created\",{variables: {\n\t\t\t\t\t\tfrom: title + \"##\" + index\n\t\t\t\t\t}});\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "upgrader"
        },
        "$:/core/modules/utils/base64-utf8/base64-utf8.module.js": {
            "text": "(function(){// From https://gist.github.com/Nijikokun/5192472\n//\n// UTF8 Module\n//\n// Cleaner and modularized utf-8 encoding and decoding library for javascript.\n//\n// copyright: MIT\n// author: Nijiko Yonskai, @nijikokun, nijikokun@gmail.com\n!function(r,e,o,t){void 0!==o.module&&o.module.exports?o.module.exports=e.apply(o):void 0!==o.define&&\"function\"===o.define&&o.define.amd?define(\"utf8\",[],e):o.utf8=e.apply(o)}(0,function(){return{encode:function(r){if(\"string\"!=typeof r)return r;r=r.replace(/\\r\\n/g,\"\\n\");for(var e,o=\"\",t=0;t<r.length;t++)(e=r.charCodeAt(t))<128?o+=String.fromCharCode(e):e>127&&e<2048?(o+=String.fromCharCode(e>>6|192),o+=String.fromCharCode(63&e|128)):(o+=String.fromCharCode(e>>12|224),o+=String.fromCharCode(e>>6&63|128),o+=String.fromCharCode(63&e|128));return o},decode:function(r){if(\"string\"!=typeof r)return r;for(var e=\"\",o=0,t=0;o<r.length;)(t=r.charCodeAt(o))<128?(e+=String.fromCharCode(t),o++):t>191&&t<224?(e+=String.fromCharCode((31&t)<<6|63&r.charCodeAt(o+1)),o+=2):(e+=String.fromCharCode((15&t)<<12|(63&r.charCodeAt(o+1))<<6|63&r.charCodeAt(o+2)),o+=3);return e}}},this),function(r,e,o,t){if(void 0!==o.module&&o.module.exports){if(t&&o.require)for(var n=0;n<t.length;n++)o[t[n]]=o.require(t[n]);o.module.exports=e.apply(o)}else void 0!==o.define&&\"function\"===o.define&&o.define.amd?define(\"base64\",t||[],e):o.base64=e.apply(o)}(0,function(r){var e=r||this.utf8,o=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=\";return{encode:function(r){if(void 0===e)throw{error:\"MissingMethod\",message:\"UTF8 Module is missing.\"};if(\"string\"!=typeof r)return r;r=e.encode(r);for(var t,n,i,d,f,a,h,c=\"\",u=0;u<r.length;)d=(t=r.charCodeAt(u++))>>2,f=(3&t)<<4|(n=r.charCodeAt(u++))>>4,a=(15&n)<<2|(i=r.charCodeAt(u++))>>6,h=63&i,isNaN(n)?a=h=64:isNaN(i)&&(h=64),c+=o.charAt(d)+o.charAt(f)+o.charAt(a)+o.charAt(h);return c},decode:function(r){if(void 0===e)throw{error:\"MissingMethod\",message:\"UTF8 Module is missing.\"};if(\"string\"!=typeof r)return r;r=r.replace(/[^A-Za-z0-9\\+\\/\\=]/g,\"\");for(var t,n,i,d,f,a,h=\"\",c=0;c<r.length;)t=o.indexOf(r.charAt(c++))<<2|(d=o.indexOf(r.charAt(c++)))>>4,n=(15&d)<<4|(f=o.indexOf(r.charAt(c++)))>>2,i=(3&f)<<6|(a=o.indexOf(r.charAt(c++))),h+=String.fromCharCode(t),64!=f&&(h+=String.fromCharCode(n)),64!=a&&(h+=String.fromCharCode(i));return e.decode(h)}}},this,[\"utf8\"]);}).call(exports);",
            "type": "application/javascript",
            "title": "$:/core/modules/utils/base64-utf8/base64-utf8.module.js",
            "module-type": "library"
        },
        "$:/core/modules/utils/crypto.js": {
            "title": "$:/core/modules/utils/crypto.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/crypto.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions related to crypto.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for an encrypted store area in the text of a TiddlyWiki file\n*/\nexports.extractEncryptedStoreArea = function(text) {\n\tvar encryptedStoreAreaStartMarker = \"<pre id=\\\"encryptedStoreArea\\\" type=\\\"text/plain\\\" style=\\\"display:none;\\\">\",\n\t\tencryptedStoreAreaStart = text.indexOf(encryptedStoreAreaStartMarker);\n\tif(encryptedStoreAreaStart !== -1) {\n\t\tvar encryptedStoreAreaEnd = text.indexOf(\"</pre>\",encryptedStoreAreaStart);\n\t\tif(encryptedStoreAreaEnd !== -1) {\n\t\t\treturn $tw.utils.htmlDecode(text.substring(encryptedStoreAreaStart + encryptedStoreAreaStartMarker.length,encryptedStoreAreaEnd-1));\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If the password is not provided then the password in the password store will be used\n*/\nexports.decryptStoreArea = function(encryptedStoreArea,password) {\n\tvar decryptedText = $tw.crypto.decrypt(encryptedStoreArea,password);\n\tif(decryptedText) {\n\t\tvar json = JSON.parse(decryptedText),\n\t\t\ttiddlers = [];\n\t\tfor(var title in json) {\n\t\t\tif(title !== \"$:/isEncrypted\") {\n\t\t\t\ttiddlers.push(json[title]);\n\t\t\t}\n\t\t}\n\t\treturn tiddlers;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If that fails, the user is prompted for a password.\nencryptedStoreArea: text of the TiddlyWiki encrypted store area\ncallback: function(tiddlers) called with the array of decrypted tiddlers\n\nThe following configuration settings are supported:\n\n$tw.config.usePasswordVault: causes any password entered by the user to also be put into the system password vault\n*/\nexports.decryptStoreAreaInteractive = function(encryptedStoreArea,callback,options) {\n\t// Try to decrypt with the current password\n\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea);\n\tif(tiddlers) {\n\t\tcallback(tiddlers);\n\t} else {\n\t\t// Prompt for a new password and keep trying\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: \"Enter a password to decrypt the imported TiddlyWiki\",\n\t\t\tnoUserName: true,\n\t\t\tcanCancel: true,\n\t\t\tsubmitText: \"Decrypt\",\n\t\t\tcallback: function(data) {\n\t\t\t\t// Exit if the user cancelled\n\t\t\t\tif(!data) {\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t\t// Attempt to decrypt the tiddlers\n\t\t\t\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea,data.password);\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tif($tw.config.usePasswordVault) {\n\t\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t\t}\n\t\t\t\t\tcallback(tiddlers);\n\t\t\t\t\t// Exit and remove the password prompt\n\t\t\t\t\treturn true;\n\t\t\t\t} else {\n\t\t\t\t\t// We didn't decrypt everything, so continue to prompt for password\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/csv.js": {
            "title": "$:/core/modules/utils/csv.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/csv.js\ntype: application/javascript\nmodule-type: utils\n\nA barebones CSV parser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParse a CSV string with a header row and return an array of hashmaps.\n*/\nexports.parseCsvStringWithHeader = function(text,options) {\n\toptions = options || {};\n\tvar separator = options.separator || \",\",\n\t\trows = text.split(/\\r?\\n/mg).map(function(row) {\n\t\t\treturn $tw.utils.trim(row);\n\t\t}).filter(function(row) {\n\t\t\treturn row !== \"\";\n\t\t});\n\tif(rows.length < 1) {\n\t\treturn \"Missing header row\";\n\t}\n\tvar headings = rows[0].split(separator),\n\t\tresults = [];\n\tfor(var row=1; row<rows.length; row++) {\n\t\tvar columns = rows[row].split(separator),\n\t\t\tcolumnResult = Object.create(null);\n\t\tif(columns.length !== headings.length) {\n\t\t\treturn \"Malformed CSV row '\" + rows[row] + \"'\";\n\t\t}\n\t\tfor(var column=0; column<columns.length; column++) {\n\t\t\tvar columnName = headings[column];\n\t\t\tcolumnResult[columnName] = $tw.utils.trim(columns[column] || \"\");\n\t\t}\n\t\tresults.push(columnResult);\t\t\t\n\t}\n\treturn results;\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/diff-match-patch/diff_match_patch.js": {
            "text": "(function(){function diff_match_patch(){this.Diff_Timeout=1;this.Diff_EditCost=4;this.Match_Threshold=.5;this.Match_Distance=1E3;this.Patch_DeleteThreshold=.5;this.Patch_Margin=4;this.Match_MaxBits=32}var DIFF_DELETE=-1,DIFF_INSERT=1,DIFF_EQUAL=0;\ndiff_match_patch.prototype.diff_main=function(a,b,c,d){\"undefined\"==typeof d&&(d=0>=this.Diff_Timeout?Number.MAX_VALUE:(new Date).getTime()+1E3*this.Diff_Timeout);if(null==a||null==b)throw Error(\"Null input. (diff_main)\");if(a==b)return a?[[DIFF_EQUAL,a]]:[];\"undefined\"==typeof c&&(c=!0);var e=c,f=this.diff_commonPrefix(a,b);c=a.substring(0,f);a=a.substring(f);b=b.substring(f);f=this.diff_commonSuffix(a,b);var g=a.substring(a.length-f);a=a.substring(0,a.length-f);b=b.substring(0,b.length-f);a=this.diff_compute_(a,\nb,e,d);c&&a.unshift([DIFF_EQUAL,c]);g&&a.push([DIFF_EQUAL,g]);this.diff_cleanupMerge(a);return a};\ndiff_match_patch.prototype.diff_compute_=function(a,b,c,d){if(!a)return[[DIFF_INSERT,b]];if(!b)return[[DIFF_DELETE,a]];var e=a.length>b.length?a:b,f=a.length>b.length?b:a,g=e.indexOf(f);return-1!=g?(c=[[DIFF_INSERT,e.substring(0,g)],[DIFF_EQUAL,f],[DIFF_INSERT,e.substring(g+f.length)]],a.length>b.length&&(c[0][0]=c[2][0]=DIFF_DELETE),c):1==f.length?[[DIFF_DELETE,a],[DIFF_INSERT,b]]:(e=this.diff_halfMatch_(a,b))?(b=e[1],f=e[3],a=e[4],e=this.diff_main(e[0],e[2],c,d),c=this.diff_main(b,f,c,d),e.concat([[DIFF_EQUAL,\na]],c)):c&&100<a.length&&100<b.length?this.diff_lineMode_(a,b,d):this.diff_bisect_(a,b,d)};\ndiff_match_patch.prototype.diff_lineMode_=function(a,b,c){var d=this.diff_linesToChars_(a,b);a=d.chars1;b=d.chars2;d=d.lineArray;a=this.diff_main(a,b,!1,c);this.diff_charsToLines_(a,d);this.diff_cleanupSemantic(a);a.push([DIFF_EQUAL,\"\"]);for(var e=d=b=0,f=\"\",g=\"\";b<a.length;){switch(a[b][0]){case DIFF_INSERT:e++;g+=a[b][1];break;case DIFF_DELETE:d++;f+=a[b][1];break;case DIFF_EQUAL:if(1<=d&&1<=e){a.splice(b-d-e,d+e);b=b-d-e;d=this.diff_main(f,g,!1,c);for(e=d.length-1;0<=e;e--)a.splice(b,0,d[e]);b+=\nd.length}d=e=0;g=f=\"\"}b++}a.pop();return a};\ndiff_match_patch.prototype.diff_bisect_=function(a,b,c){for(var d=a.length,e=b.length,f=Math.ceil((d+e)/2),g=2*f,h=Array(g),l=Array(g),k=0;k<g;k++)h[k]=-1,l[k]=-1;h[f+1]=0;l[f+1]=0;k=d-e;for(var m=0!=k%2,p=0,x=0,w=0,q=0,t=0;t<f&&!((new Date).getTime()>c);t++){for(var v=-t+p;v<=t-x;v+=2){var n=f+v;var r=v==-t||v!=t&&h[n-1]<h[n+1]?h[n+1]:h[n-1]+1;for(var y=r-v;r<d&&y<e&&a.charAt(r)==b.charAt(y);)r++,y++;h[n]=r;if(r>d)x+=2;else if(y>e)p+=2;else if(m&&(n=f+k-v,0<=n&&n<g&&-1!=l[n])){var u=d-l[n];if(r>=\nu)return this.diff_bisectSplit_(a,b,r,y,c)}}for(v=-t+w;v<=t-q;v+=2){n=f+v;u=v==-t||v!=t&&l[n-1]<l[n+1]?l[n+1]:l[n-1]+1;for(r=u-v;u<d&&r<e&&a.charAt(d-u-1)==b.charAt(e-r-1);)u++,r++;l[n]=u;if(u>d)q+=2;else if(r>e)w+=2;else if(!m&&(n=f+k-v,0<=n&&n<g&&-1!=h[n]&&(r=h[n],y=f+r-n,u=d-u,r>=u)))return this.diff_bisectSplit_(a,b,r,y,c)}}return[[DIFF_DELETE,a],[DIFF_INSERT,b]]};\ndiff_match_patch.prototype.diff_bisectSplit_=function(a,b,c,d,e){var f=a.substring(0,c),g=b.substring(0,d);a=a.substring(c);b=b.substring(d);f=this.diff_main(f,g,!1,e);e=this.diff_main(a,b,!1,e);return f.concat(e)};\ndiff_match_patch.prototype.diff_linesToChars_=function(a,b){function c(a){for(var b=\"\",c=0,f=-1,g=d.length;f<a.length-1;){f=a.indexOf(\"\\n\",c);-1==f&&(f=a.length-1);var h=a.substring(c,f+1);c=f+1;(e.hasOwnProperty?e.hasOwnProperty(h):void 0!==e[h])?b+=String.fromCharCode(e[h]):(b+=String.fromCharCode(g),e[h]=g,d[g++]=h)}return b}var d=[],e={};d[0]=\"\";var f=c(a),g=c(b);return{chars1:f,chars2:g,lineArray:d}};\ndiff_match_patch.prototype.diff_charsToLines_=function(a,b){for(var c=0;c<a.length;c++){for(var d=a[c][1],e=[],f=0;f<d.length;f++)e[f]=b[d.charCodeAt(f)];a[c][1]=e.join(\"\")}};diff_match_patch.prototype.diff_commonPrefix=function(a,b){if(!a||!b||a.charAt(0)!=b.charAt(0))return 0;for(var c=0,d=Math.min(a.length,b.length),e=d,f=0;c<e;)a.substring(f,e)==b.substring(f,e)?f=c=e:d=e,e=Math.floor((d-c)/2+c);return e};\ndiff_match_patch.prototype.diff_commonSuffix=function(a,b){if(!a||!b||a.charAt(a.length-1)!=b.charAt(b.length-1))return 0;for(var c=0,d=Math.min(a.length,b.length),e=d,f=0;c<e;)a.substring(a.length-e,a.length-f)==b.substring(b.length-e,b.length-f)?f=c=e:d=e,e=Math.floor((d-c)/2+c);return e};\ndiff_match_patch.prototype.diff_commonOverlap_=function(a,b){var c=a.length,d=b.length;if(0==c||0==d)return 0;c>d?a=a.substring(c-d):c<d&&(b=b.substring(0,c));c=Math.min(c,d);if(a==b)return c;d=0;for(var e=1;;){var f=a.substring(c-e);f=b.indexOf(f);if(-1==f)return d;e+=f;if(0==f||a.substring(c-e)==b.substring(0,e))d=e,e++}};\ndiff_match_patch.prototype.diff_halfMatch_=function(a,b){function c(a,b,c){for(var d=a.substring(c,c+Math.floor(a.length/4)),e=-1,g=\"\",h,k,l,m;-1!=(e=b.indexOf(d,e+1));){var p=f.diff_commonPrefix(a.substring(c),b.substring(e)),u=f.diff_commonSuffix(a.substring(0,c),b.substring(0,e));g.length<u+p&&(g=b.substring(e-u,e)+b.substring(e,e+p),h=a.substring(0,c-u),k=a.substring(c+p),l=b.substring(0,e-u),m=b.substring(e+p))}return 2*g.length>=a.length?[h,k,l,m,g]:null}if(0>=this.Diff_Timeout)return null;\nvar d=a.length>b.length?a:b,e=a.length>b.length?b:a;if(4>d.length||2*e.length<d.length)return null;var f=this,g=c(d,e,Math.ceil(d.length/4));d=c(d,e,Math.ceil(d.length/2));if(g||d)g=d?g?g[4].length>d[4].length?g:d:d:g;else return null;if(a.length>b.length){d=g[0];e=g[1];var h=g[2];var l=g[3]}else h=g[0],l=g[1],d=g[2],e=g[3];return[d,e,h,l,g[4]]};\ndiff_match_patch.prototype.diff_cleanupSemantic=function(a){for(var b=!1,c=[],d=0,e=null,f=0,g=0,h=0,l=0,k=0;f<a.length;)a[f][0]==DIFF_EQUAL?(c[d++]=f,g=l,h=k,k=l=0,e=a[f][1]):(a[f][0]==DIFF_INSERT?l+=a[f][1].length:k+=a[f][1].length,e&&e.length<=Math.max(g,h)&&e.length<=Math.max(l,k)&&(a.splice(c[d-1],0,[DIFF_DELETE,e]),a[c[d-1]+1][0]=DIFF_INSERT,d--,d--,f=0<d?c[d-1]:-1,k=l=h=g=0,e=null,b=!0)),f++;b&&this.diff_cleanupMerge(a);this.diff_cleanupSemanticLossless(a);for(f=1;f<a.length;){if(a[f-1][0]==\nDIFF_DELETE&&a[f][0]==DIFF_INSERT){b=a[f-1][1];c=a[f][1];d=this.diff_commonOverlap_(b,c);e=this.diff_commonOverlap_(c,b);if(d>=e){if(d>=b.length/2||d>=c.length/2)a.splice(f,0,[DIFF_EQUAL,c.substring(0,d)]),a[f-1][1]=b.substring(0,b.length-d),a[f+1][1]=c.substring(d),f++}else if(e>=b.length/2||e>=c.length/2)a.splice(f,0,[DIFF_EQUAL,b.substring(0,e)]),a[f-1][0]=DIFF_INSERT,a[f-1][1]=c.substring(0,c.length-e),a[f+1][0]=DIFF_DELETE,a[f+1][1]=b.substring(e),f++;f++}f++}};\ndiff_match_patch.prototype.diff_cleanupSemanticLossless=function(a){function b(a,b){if(!a||!b)return 6;var c=a.charAt(a.length-1),d=b.charAt(0),e=c.match(diff_match_patch.nonAlphaNumericRegex_),f=d.match(diff_match_patch.nonAlphaNumericRegex_),g=e&&c.match(diff_match_patch.whitespaceRegex_),h=f&&d.match(diff_match_patch.whitespaceRegex_);c=g&&c.match(diff_match_patch.linebreakRegex_);d=h&&d.match(diff_match_patch.linebreakRegex_);var k=c&&a.match(diff_match_patch.blanklineEndRegex_),l=d&&b.match(diff_match_patch.blanklineStartRegex_);\nreturn k||l?5:c||d?4:e&&!g&&h?3:g||h?2:e||f?1:0}for(var c=1;c<a.length-1;){if(a[c-1][0]==DIFF_EQUAL&&a[c+1][0]==DIFF_EQUAL){var d=a[c-1][1],e=a[c][1],f=a[c+1][1],g=this.diff_commonSuffix(d,e);if(g){var h=e.substring(e.length-g);d=d.substring(0,d.length-g);e=h+e.substring(0,e.length-g);f=h+f}g=d;h=e;for(var l=f,k=b(d,e)+b(e,f);e.charAt(0)===f.charAt(0);){d+=e.charAt(0);e=e.substring(1)+f.charAt(0);f=f.substring(1);var m=b(d,e)+b(e,f);m>=k&&(k=m,g=d,h=e,l=f)}a[c-1][1]!=g&&(g?a[c-1][1]=g:(a.splice(c-\n1,1),c--),a[c][1]=h,l?a[c+1][1]=l:(a.splice(c+1,1),c--))}c++}};diff_match_patch.nonAlphaNumericRegex_=/[^a-zA-Z0-9]/;diff_match_patch.whitespaceRegex_=/\\s/;diff_match_patch.linebreakRegex_=/[\\r\\n]/;diff_match_patch.blanklineEndRegex_=/\\n\\r?\\n$/;diff_match_patch.blanklineStartRegex_=/^\\r?\\n\\r?\\n/;\ndiff_match_patch.prototype.diff_cleanupEfficiency=function(a){for(var b=!1,c=[],d=0,e=null,f=0,g=!1,h=!1,l=!1,k=!1;f<a.length;)a[f][0]==DIFF_EQUAL?(a[f][1].length<this.Diff_EditCost&&(l||k)?(c[d++]=f,g=l,h=k,e=a[f][1]):(d=0,e=null),l=k=!1):(a[f][0]==DIFF_DELETE?k=!0:l=!0,e&&(g&&h&&l&&k||e.length<this.Diff_EditCost/2&&3==g+h+l+k)&&(a.splice(c[d-1],0,[DIFF_DELETE,e]),a[c[d-1]+1][0]=DIFF_INSERT,d--,e=null,g&&h?(l=k=!0,d=0):(d--,f=0<d?c[d-1]:-1,l=k=!1),b=!0)),f++;b&&this.diff_cleanupMerge(a)};\ndiff_match_patch.prototype.diff_cleanupMerge=function(a){a.push([DIFF_EQUAL,\"\"]);for(var b=0,c=0,d=0,e=\"\",f=\"\",g;b<a.length;)switch(a[b][0]){case DIFF_INSERT:d++;f+=a[b][1];b++;break;case DIFF_DELETE:c++;e+=a[b][1];b++;break;case DIFF_EQUAL:1<c+d?(0!==c&&0!==d&&(g=this.diff_commonPrefix(f,e),0!==g&&(0<b-c-d&&a[b-c-d-1][0]==DIFF_EQUAL?a[b-c-d-1][1]+=f.substring(0,g):(a.splice(0,0,[DIFF_EQUAL,f.substring(0,g)]),b++),f=f.substring(g),e=e.substring(g)),g=this.diff_commonSuffix(f,e),0!==g&&(a[b][1]=f.substring(f.length-\ng)+a[b][1],f=f.substring(0,f.length-g),e=e.substring(0,e.length-g))),0===c?a.splice(b-d,c+d,[DIFF_INSERT,f]):0===d?a.splice(b-c,c+d,[DIFF_DELETE,e]):a.splice(b-c-d,c+d,[DIFF_DELETE,e],[DIFF_INSERT,f]),b=b-c-d+(c?1:0)+(d?1:0)+1):0!==b&&a[b-1][0]==DIFF_EQUAL?(a[b-1][1]+=a[b][1],a.splice(b,1)):b++,c=d=0,f=e=\"\"}\"\"===a[a.length-1][1]&&a.pop();c=!1;for(b=1;b<a.length-1;)a[b-1][0]==DIFF_EQUAL&&a[b+1][0]==DIFF_EQUAL&&(a[b][1].substring(a[b][1].length-a[b-1][1].length)==a[b-1][1]?(a[b][1]=a[b-1][1]+a[b][1].substring(0,\na[b][1].length-a[b-1][1].length),a[b+1][1]=a[b-1][1]+a[b+1][1],a.splice(b-1,1),c=!0):a[b][1].substring(0,a[b+1][1].length)==a[b+1][1]&&(a[b-1][1]+=a[b+1][1],a[b][1]=a[b][1].substring(a[b+1][1].length)+a[b+1][1],a.splice(b+1,1),c=!0)),b++;c&&this.diff_cleanupMerge(a)};\ndiff_match_patch.prototype.diff_xIndex=function(a,b){var c=0,d=0,e=0,f=0,g;for(g=0;g<a.length;g++){a[g][0]!==DIFF_INSERT&&(c+=a[g][1].length);a[g][0]!==DIFF_DELETE&&(d+=a[g][1].length);if(c>b)break;e=c;f=d}return a.length!=g&&a[g][0]===DIFF_DELETE?f:f+(b-e)};\ndiff_match_patch.prototype.diff_prettyHtml=function(a){for(var b=[],c=/&/g,d=/</g,e=/>/g,f=/\\n/g,g=0;g<a.length;g++){var h=a[g][0],l=a[g][1].replace(c,\"&amp;\").replace(d,\"&lt;\").replace(e,\"&gt;\").replace(f,\"&para;<br>\");switch(h){case DIFF_INSERT:b[g]='<ins style=\"background:#e6ffe6;\">'+l+\"</ins>\";break;case DIFF_DELETE:b[g]='<del style=\"background:#ffe6e6;\">'+l+\"</del>\";break;case DIFF_EQUAL:b[g]=\"<span>\"+l+\"</span>\"}}return b.join(\"\")};\ndiff_match_patch.prototype.diff_text1=function(a){for(var b=[],c=0;c<a.length;c++)a[c][0]!==DIFF_INSERT&&(b[c]=a[c][1]);return b.join(\"\")};diff_match_patch.prototype.diff_text2=function(a){for(var b=[],c=0;c<a.length;c++)a[c][0]!==DIFF_DELETE&&(b[c]=a[c][1]);return b.join(\"\")};\ndiff_match_patch.prototype.diff_levenshtein=function(a){for(var b=0,c=0,d=0,e=0;e<a.length;e++){var f=a[e][1];switch(a[e][0]){case DIFF_INSERT:c+=f.length;break;case DIFF_DELETE:d+=f.length;break;case DIFF_EQUAL:b+=Math.max(c,d),d=c=0}}return b+=Math.max(c,d)};\ndiff_match_patch.prototype.diff_toDelta=function(a){for(var b=[],c=0;c<a.length;c++)switch(a[c][0]){case DIFF_INSERT:b[c]=\"+\"+encodeURI(a[c][1]);break;case DIFF_DELETE:b[c]=\"-\"+a[c][1].length;break;case DIFF_EQUAL:b[c]=\"=\"+a[c][1].length}return b.join(\"\\t\").replace(/%20/g,\" \")};\ndiff_match_patch.prototype.diff_fromDelta=function(a,b){for(var c=[],d=0,e=0,f=b.split(/\\t/g),g=0;g<f.length;g++){var h=f[g].substring(1);switch(f[g].charAt(0)){case \"+\":try{c[d++]=[DIFF_INSERT,decodeURI(h)]}catch(k){throw Error(\"Illegal escape in diff_fromDelta: \"+h);}break;case \"-\":case \"=\":var l=parseInt(h,10);if(isNaN(l)||0>l)throw Error(\"Invalid number in diff_fromDelta: \"+h);h=a.substring(e,e+=l);\"=\"==f[g].charAt(0)?c[d++]=[DIFF_EQUAL,h]:c[d++]=[DIFF_DELETE,h];break;default:if(f[g])throw Error(\"Invalid diff operation in diff_fromDelta: \"+\nf[g]);}}if(e!=a.length)throw Error(\"Delta length (\"+e+\") does not equal source text length (\"+a.length+\").\");return c};diff_match_patch.prototype.match_main=function(a,b,c){if(null==a||null==b||null==c)throw Error(\"Null input. (match_main)\");c=Math.max(0,Math.min(c,a.length));return a==b?0:a.length?a.substring(c,c+b.length)==b?c:this.match_bitap_(a,b,c):-1};\ndiff_match_patch.prototype.match_bitap_=function(a,b,c){function d(a,d){var e=a/b.length,g=Math.abs(c-d);return f.Match_Distance?e+g/f.Match_Distance:g?1:e}if(b.length>this.Match_MaxBits)throw Error(\"Pattern too long for this browser.\");var e=this.match_alphabet_(b),f=this,g=this.Match_Threshold,h=a.indexOf(b,c);-1!=h&&(g=Math.min(d(0,h),g),h=a.lastIndexOf(b,c+b.length),-1!=h&&(g=Math.min(d(0,h),g)));var l=1<<b.length-1;h=-1;for(var k,m,p=b.length+a.length,x,w=0;w<b.length;w++){k=0;for(m=p;k<m;)d(w,\nc+m)<=g?k=m:p=m,m=Math.floor((p-k)/2+k);p=m;k=Math.max(1,c-m+1);var q=Math.min(c+m,a.length)+b.length;m=Array(q+2);for(m[q+1]=(1<<w)-1;q>=k;q--){var t=e[a.charAt(q-1)];m[q]=0===w?(m[q+1]<<1|1)&t:(m[q+1]<<1|1)&t|(x[q+1]|x[q])<<1|1|x[q+1];if(m[q]&l&&(t=d(w,q-1),t<=g))if(g=t,h=q-1,h>c)k=Math.max(1,2*c-h);else break}if(d(w+1,c)>g)break;x=m}return h};\ndiff_match_patch.prototype.match_alphabet_=function(a){for(var b={},c=0;c<a.length;c++)b[a.charAt(c)]=0;for(c=0;c<a.length;c++)b[a.charAt(c)]|=1<<a.length-c-1;return b};\ndiff_match_patch.prototype.patch_addContext_=function(a,b){if(0!=b.length){for(var c=b.substring(a.start2,a.start2+a.length1),d=0;b.indexOf(c)!=b.lastIndexOf(c)&&c.length<this.Match_MaxBits-this.Patch_Margin-this.Patch_Margin;)d+=this.Patch_Margin,c=b.substring(a.start2-d,a.start2+a.length1+d);d+=this.Patch_Margin;(c=b.substring(a.start2-d,a.start2))&&a.diffs.unshift([DIFF_EQUAL,c]);(d=b.substring(a.start2+a.length1,a.start2+a.length1+d))&&a.diffs.push([DIFF_EQUAL,d]);a.start1-=c.length;a.start2-=\nc.length;a.length1+=c.length+d.length;a.length2+=c.length+d.length}};\ndiff_match_patch.prototype.patch_make=function(a,b,c){if(\"string\"==typeof a&&\"string\"==typeof b&&\"undefined\"==typeof c){var d=a;b=this.diff_main(d,b,!0);2<b.length&&(this.diff_cleanupSemantic(b),this.diff_cleanupEfficiency(b))}else if(a&&\"object\"==typeof a&&\"undefined\"==typeof b&&\"undefined\"==typeof c)b=a,d=this.diff_text1(b);else if(\"string\"==typeof a&&b&&\"object\"==typeof b&&\"undefined\"==typeof c)d=a;else if(\"string\"==typeof a&&\"string\"==typeof b&&c&&\"object\"==typeof c)d=a,b=c;else throw Error(\"Unknown call format to patch_make.\");\nif(0===b.length)return[];c=[];a=new diff_match_patch.patch_obj;for(var e=0,f=0,g=0,h=d,l=0;l<b.length;l++){var k=b[l][0],m=b[l][1];e||k===DIFF_EQUAL||(a.start1=f,a.start2=g);switch(k){case DIFF_INSERT:a.diffs[e++]=b[l];a.length2+=m.length;d=d.substring(0,g)+m+d.substring(g);break;case DIFF_DELETE:a.length1+=m.length;a.diffs[e++]=b[l];d=d.substring(0,g)+d.substring(g+m.length);break;case DIFF_EQUAL:m.length<=2*this.Patch_Margin&&e&&b.length!=l+1?(a.diffs[e++]=b[l],a.length1+=m.length,a.length2+=m.length):\nm.length>=2*this.Patch_Margin&&e&&(this.patch_addContext_(a,h),c.push(a),a=new diff_match_patch.patch_obj,e=0,h=d,f=g)}k!==DIFF_INSERT&&(f+=m.length);k!==DIFF_DELETE&&(g+=m.length)}e&&(this.patch_addContext_(a,h),c.push(a));return c};\ndiff_match_patch.prototype.patch_deepCopy=function(a){for(var b=[],c=0;c<a.length;c++){var d=a[c],e=new diff_match_patch.patch_obj;e.diffs=[];for(var f=0;f<d.diffs.length;f++)e.diffs[f]=d.diffs[f].slice();e.start1=d.start1;e.start2=d.start2;e.length1=d.length1;e.length2=d.length2;b[c]=e}return b};\ndiff_match_patch.prototype.patch_apply=function(a,b){if(0==a.length)return[b,[]];a=this.patch_deepCopy(a);var c=this.patch_addPadding(a);b=c+b+c;this.patch_splitMax(a);for(var d=0,e=[],f=0;f<a.length;f++){var g=a[f].start2+d,h=this.diff_text1(a[f].diffs),l=-1;if(h.length>this.Match_MaxBits){var k=this.match_main(b,h.substring(0,this.Match_MaxBits),g);-1!=k&&(l=this.match_main(b,h.substring(h.length-this.Match_MaxBits),g+h.length-this.Match_MaxBits),-1==l||k>=l)&&(k=-1)}else k=this.match_main(b,h,\ng);if(-1==k)e[f]=!1,d-=a[f].length2-a[f].length1;else if(e[f]=!0,d=k-g,g=-1==l?b.substring(k,k+h.length):b.substring(k,l+this.Match_MaxBits),h==g)b=b.substring(0,k)+this.diff_text2(a[f].diffs)+b.substring(k+h.length);else if(g=this.diff_main(h,g,!1),h.length>this.Match_MaxBits&&this.diff_levenshtein(g)/h.length>this.Patch_DeleteThreshold)e[f]=!1;else{this.diff_cleanupSemanticLossless(g);h=0;var m;for(l=0;l<a[f].diffs.length;l++){var p=a[f].diffs[l];p[0]!==DIFF_EQUAL&&(m=this.diff_xIndex(g,h));p[0]===\nDIFF_INSERT?b=b.substring(0,k+m)+p[1]+b.substring(k+m):p[0]===DIFF_DELETE&&(b=b.substring(0,k+m)+b.substring(k+this.diff_xIndex(g,h+p[1].length)));p[0]!==DIFF_DELETE&&(h+=p[1].length)}}}b=b.substring(c.length,b.length-c.length);return[b,e]};\ndiff_match_patch.prototype.patch_addPadding=function(a){for(var b=this.Patch_Margin,c=\"\",d=1;d<=b;d++)c+=String.fromCharCode(d);for(d=0;d<a.length;d++)a[d].start1+=b,a[d].start2+=b;d=a[0];var e=d.diffs;if(0==e.length||e[0][0]!=DIFF_EQUAL)e.unshift([DIFF_EQUAL,c]),d.start1-=b,d.start2-=b,d.length1+=b,d.length2+=b;else if(b>e[0][1].length){var f=b-e[0][1].length;e[0][1]=c.substring(e[0][1].length)+e[0][1];d.start1-=f;d.start2-=f;d.length1+=f;d.length2+=f}d=a[a.length-1];e=d.diffs;0==e.length||e[e.length-\n1][0]!=DIFF_EQUAL?(e.push([DIFF_EQUAL,c]),d.length1+=b,d.length2+=b):b>e[e.length-1][1].length&&(f=b-e[e.length-1][1].length,e[e.length-1][1]+=c.substring(0,f),d.length1+=f,d.length2+=f);return c};\ndiff_match_patch.prototype.patch_splitMax=function(a){for(var b=this.Match_MaxBits,c=0;c<a.length;c++)if(!(a[c].length1<=b)){var d=a[c];a.splice(c--,1);for(var e=d.start1,f=d.start2,g=\"\";0!==d.diffs.length;){var h=new diff_match_patch.patch_obj,l=!0;h.start1=e-g.length;h.start2=f-g.length;\"\"!==g&&(h.length1=h.length2=g.length,h.diffs.push([DIFF_EQUAL,g]));for(;0!==d.diffs.length&&h.length1<b-this.Patch_Margin;){g=d.diffs[0][0];var k=d.diffs[0][1];g===DIFF_INSERT?(h.length2+=k.length,f+=k.length,h.diffs.push(d.diffs.shift()),\nl=!1):g===DIFF_DELETE&&1==h.diffs.length&&h.diffs[0][0]==DIFF_EQUAL&&k.length>2*b?(h.length1+=k.length,e+=k.length,l=!1,h.diffs.push([g,k]),d.diffs.shift()):(k=k.substring(0,b-h.length1-this.Patch_Margin),h.length1+=k.length,e+=k.length,g===DIFF_EQUAL?(h.length2+=k.length,f+=k.length):l=!1,h.diffs.push([g,k]),k==d.diffs[0][1]?d.diffs.shift():d.diffs[0][1]=d.diffs[0][1].substring(k.length))}g=this.diff_text2(h.diffs);g=g.substring(g.length-this.Patch_Margin);k=this.diff_text1(d.diffs).substring(0,\nthis.Patch_Margin);\"\"!==k&&(h.length1+=k.length,h.length2+=k.length,0!==h.diffs.length&&h.diffs[h.diffs.length-1][0]===DIFF_EQUAL?h.diffs[h.diffs.length-1][1]+=k:h.diffs.push([DIFF_EQUAL,k]));l||a.splice(++c,0,h)}}};diff_match_patch.prototype.patch_toText=function(a){for(var b=[],c=0;c<a.length;c++)b[c]=a[c];return b.join(\"\")};\ndiff_match_patch.prototype.patch_fromText=function(a){var b=[];if(!a)return b;a=a.split(\"\\n\");for(var c=0,d=/^@@ -(\\d+),?(\\d*) \\+(\\d+),?(\\d*) @@$/;c<a.length;){var e=a[c].match(d);if(!e)throw Error(\"Invalid patch string: \"+a[c]);var f=new diff_match_patch.patch_obj;b.push(f);f.start1=parseInt(e[1],10);\"\"===e[2]?(f.start1--,f.length1=1):\"0\"==e[2]?f.length1=0:(f.start1--,f.length1=parseInt(e[2],10));f.start2=parseInt(e[3],10);\"\"===e[4]?(f.start2--,f.length2=1):\"0\"==e[4]?f.length2=0:(f.start2--,f.length2=\nparseInt(e[4],10));for(c++;c<a.length;){e=a[c].charAt(0);try{var g=decodeURI(a[c].substring(1))}catch(h){throw Error(\"Illegal escape in patch_fromText: \"+g);}if(\"-\"==e)f.diffs.push([DIFF_DELETE,g]);else if(\"+\"==e)f.diffs.push([DIFF_INSERT,g]);else if(\" \"==e)f.diffs.push([DIFF_EQUAL,g]);else if(\"@\"==e)break;else if(\"\"!==e)throw Error('Invalid patch mode \"'+e+'\" in: '+g);c++}}return b};diff_match_patch.patch_obj=function(){this.diffs=[];this.start2=this.start1=null;this.length2=this.length1=0};\ndiff_match_patch.patch_obj.prototype.toString=function(){for(var a=[\"@@ -\"+(0===this.length1?this.start1+\",0\":1==this.length1?this.start1+1:this.start1+1+\",\"+this.length1)+\" +\"+(0===this.length2?this.start2+\",0\":1==this.length2?this.start2+1:this.start2+1+\",\"+this.length2)+\" @@\\n\"],b,c=0;c<this.diffs.length;c++){switch(this.diffs[c][0]){case DIFF_INSERT:b=\"+\";break;case DIFF_DELETE:b=\"-\";break;case DIFF_EQUAL:b=\" \"}a[c+1]=b+encodeURI(this.diffs[c][1])+\"\\n\"}return a.join(\"\").replace(/%20/g,\" \")};\nthis.diff_match_patch=diff_match_patch;this.DIFF_DELETE=DIFF_DELETE;this.DIFF_INSERT=DIFF_INSERT;this.DIFF_EQUAL=DIFF_EQUAL;\n}).call(exports);",
            "type": "application/javascript",
            "title": "$:/core/modules/utils/diff-match-patch/diff_match_patch.js",
            "module-type": "library"
        },
        "$:/core/modules/utils/dom/animations/slide.js": {
            "title": "$:/core/modules/utils/dom/animations/slide.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/animations/slide.js\ntype: application/javascript\nmodule-type: animation\n\nA simple slide animation that varies the height of the element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction slideOpen(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration();\n\t// Get the current height of the domNode\n\tvar computedStyle = window.getComputedStyle(domNode),\n\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\tcurrPaddingBottom = parseInt(computedStyle.paddingBottom,10),\n\t\tcurrPaddingTop = parseInt(computedStyle.paddingTop,10),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Reset the margin once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"none\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t{marginTop: currMarginTop + \"px\"},\n\t\t{paddingBottom: currPaddingBottom + \"px\"},\n\t\t{paddingTop: currPaddingTop + \"px\"},\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n}\n\nfunction slideClosed(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration(),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Clear the properties we've set when the animation is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n}\n\nexports.slide = {\n\topen: slideOpen,\n\tclose: slideClosed\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "animation"
        },
        "$:/core/modules/utils/dom/animator.js": {
            "title": "$:/core/modules/utils/dom/animator.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/animator.js\ntype: application/javascript\nmodule-type: utils\n\nOrchestrates animations and transitions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Animator() {\n\t// Get the registered animation modules\n\tthis.animations = {};\n\t$tw.modules.applyMethods(\"animation\",this.animations);\n}\n\nAnimator.prototype.perform = function(type,domNode,options) {\n\toptions = options || {};\n\t// Find an animation that can handle this type\n\tvar chosenAnimation;\n\t$tw.utils.each(this.animations,function(animation,name) {\n\t\tif($tw.utils.hop(animation,type)) {\n\t\t\tchosenAnimation = animation[type];\n\t\t}\n\t});\n\tif(!chosenAnimation) {\n\t\tchosenAnimation = function(domNode,options) {\n\t\t\tif(options.callback) {\n\t\t\t\toptions.callback();\n\t\t\t}\n\t\t};\n\t}\n\t// Call the animation\n\tchosenAnimation(domNode,options);\n};\n\nexports.Animator = Animator;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/browser.js": {
            "title": "$:/core/modules/utils/dom/browser.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/browser.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser feature detection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet style properties of an element\n\telement: dom node\n\tstyles: ordered array of {name: value} pairs\n*/\nexports.setStyle = function(element,styles) {\n\tif(element.nodeType === 1) { // Element.ELEMENT_NODE\n\t\tfor(var t=0; t<styles.length; t++) {\n\t\t\tfor(var styleName in styles[t]) {\n\t\t\t\telement.style[$tw.utils.convertStyleNameToPropertyName(styleName)] = styles[t][styleName];\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nConverts a standard CSS property name into the local browser-specific equivalent. For example:\n\t\"background-color\" --> \"backgroundColor\"\n\t\"transition\" --> \"webkitTransition\"\n*/\n\nvar styleNameCache = {}; // We'll cache the style name conversions\n\nexports.convertStyleNameToPropertyName = function(styleName) {\n\t// Return from the cache if we can\n\tif(styleNameCache[styleName]) {\n\t\treturn styleNameCache[styleName];\n\t}\n\t// Convert it by first removing any hyphens\n\tvar propertyName = $tw.utils.unHyphenateCss(styleName);\n\t// Then check if it needs a prefix\n\tif($tw.browser && document.body.style[propertyName] === undefined) {\n\t\tvar prefixes = [\"O\",\"MS\",\"Moz\",\"webkit\"];\n\t\tfor(var t=0; t<prefixes.length; t++) {\n\t\t\tvar prefixedName = prefixes[t] + propertyName.substr(0,1).toUpperCase() + propertyName.substr(1);\n\t\t\tif(document.body.style[prefixedName] !== undefined) {\n\t\t\t\tpropertyName = prefixedName;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\t// Put it in the cache too\n\tstyleNameCache[styleName] = propertyName;\n\treturn propertyName;\n};\n\n/*\nConverts a JS format CSS property name back into the dashed form used in CSS declarations. For example:\n\t\"backgroundColor\" --> \"background-color\"\n\t\"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.convertPropertyNameToStyleName = function(propertyName) {\n\t// Rehyphenate the name\n\tvar styleName = $tw.utils.hyphenateCss(propertyName);\n\t// If there's a webkit prefix, add a dash (other browsers have uppercase prefixes, and so get the dash automatically)\n\tif(styleName.indexOf(\"webkit\") === 0) {\n\t\tstyleName = \"-\" + styleName;\n\t} else if(styleName.indexOf(\"-m-s\") === 0) {\n\t\tstyleName = \"-ms\" + styleName.substr(4);\n\t}\n\treturn styleName;\n};\n\n/*\nRound trip a stylename to a property name and back again. For example:\n\t\"transform\" --> \"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.roundTripPropertyName = function(propertyName) {\n\treturn $tw.utils.convertPropertyNameToStyleName($tw.utils.convertStyleNameToPropertyName(propertyName));\n};\n\n/*\nConverts a standard event name into the local browser specific equivalent. For example:\n\t\"animationEnd\" --> \"webkitAnimationEnd\"\n*/\n\nvar eventNameCache = {}; // We'll cache the conversions\n\nvar eventNameMappings = {\n\t\"transitionEnd\": {\n\t\tcorrespondingCssProperty: \"transition\",\n\t\tmappings: {\n\t\t\ttransition: \"transitionend\",\n\t\t\tOTransition: \"oTransitionEnd\",\n\t\t\tMSTransition: \"msTransitionEnd\",\n\t\t\tMozTransition: \"transitionend\",\n\t\t\twebkitTransition: \"webkitTransitionEnd\"\n\t\t}\n\t},\n\t\"animationEnd\": {\n\t\tcorrespondingCssProperty: \"animation\",\n\t\tmappings: {\n\t\t\tanimation: \"animationend\",\n\t\t\tOAnimation: \"oAnimationEnd\",\n\t\t\tMSAnimation: \"msAnimationEnd\",\n\t\t\tMozAnimation: \"animationend\",\n\t\t\twebkitAnimation: \"webkitAnimationEnd\"\n\t\t}\n\t}\n};\n\nexports.convertEventName = function(eventName) {\n\tif(eventNameCache[eventName]) {\n\t\treturn eventNameCache[eventName];\n\t}\n\tvar newEventName = eventName,\n\t\tmappings = eventNameMappings[eventName];\n\tif(mappings) {\n\t\tvar convertedProperty = $tw.utils.convertStyleNameToPropertyName(mappings.correspondingCssProperty);\n\t\tif(mappings.mappings[convertedProperty]) {\n\t\t\tnewEventName = mappings.mappings[convertedProperty];\n\t\t}\n\t}\n\t// Put it in the cache too\n\teventNameCache[eventName] = newEventName;\n\treturn newEventName;\n};\n\n/*\nReturn the names of the fullscreen APIs\n*/\nexports.getFullScreenApis = function() {\n\tvar d = document,\n\t\tdb = d.body,\n\t\tresult = {\n\t\t\"_requestFullscreen\": db.webkitRequestFullscreen !== undefined ? \"webkitRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.mozRequestFullScreen !== undefined ? \"mozRequestFullScreen\" :\n\t\t\t\t\t\t\tdb.msRequestFullscreen !== undefined ? \"msRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.requestFullscreen !== undefined ? \"requestFullscreen\" : \"\",\n\t\t\"_exitFullscreen\": d.webkitExitFullscreen !== undefined ? \"webkitExitFullscreen\" :\n\t\t\t\t\t\t\td.mozCancelFullScreen !== undefined ? \"mozCancelFullScreen\" :\n\t\t\t\t\t\t\td.msExitFullscreen !== undefined ? \"msExitFullscreen\" :\n\t\t\t\t\t\t\td.exitFullscreen !== undefined ? \"exitFullscreen\" : \"\",\n\t\t\"_fullscreenElement\": d.webkitFullscreenElement !== undefined ? \"webkitFullscreenElement\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozFullScreenElement\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"msFullscreenElement\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenElement\" : \"\",\n\t\t\"_fullscreenChange\": d.webkitFullscreenElement !== undefined ? \"webkitfullscreenchange\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozfullscreenchange\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"MSFullscreenChange\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenchange\" : \"\"\n\t};\n\tif(!result._requestFullscreen || !result._exitFullscreen || !result._fullscreenElement || !result._fullscreenChange) {\n\t\treturn null;\n\t} else {\n\t\treturn result;\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/csscolorparser.js": {
            "title": "$:/core/modules/utils/dom/csscolorparser.js",
            "text": "// (c) Dean McNamee <dean@gmail.com>, 2012.\n//\n// https://github.com/deanm/css-color-parser-js\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to\n// deal in the Software without restriction, including without limitation the\n// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n// sell copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n// IN THE SOFTWARE.\n\n// http://www.w3.org/TR/css3-color/\nvar kCSSColorTable = {\n  \"transparent\": [0,0,0,0], \"aliceblue\": [240,248,255,1],\n  \"antiquewhite\": [250,235,215,1], \"aqua\": [0,255,255,1],\n  \"aquamarine\": [127,255,212,1], \"azure\": [240,255,255,1],\n  \"beige\": [245,245,220,1], \"bisque\": [255,228,196,1],\n  \"black\": [0,0,0,1], \"blanchedalmond\": [255,235,205,1],\n  \"blue\": [0,0,255,1], \"blueviolet\": [138,43,226,1],\n  \"brown\": [165,42,42,1], \"burlywood\": [222,184,135,1],\n  \"cadetblue\": [95,158,160,1], \"chartreuse\": [127,255,0,1],\n  \"chocolate\": [210,105,30,1], \"coral\": [255,127,80,1],\n  \"cornflowerblue\": [100,149,237,1], \"cornsilk\": [255,248,220,1],\n  \"crimson\": [220,20,60,1], \"cyan\": [0,255,255,1],\n  \"darkblue\": [0,0,139,1], \"darkcyan\": [0,139,139,1],\n  \"darkgoldenrod\": [184,134,11,1], \"darkgray\": [169,169,169,1],\n  \"darkgreen\": [0,100,0,1], \"darkgrey\": [169,169,169,1],\n  \"darkkhaki\": [189,183,107,1], \"darkmagenta\": [139,0,139,1],\n  \"darkolivegreen\": [85,107,47,1], \"darkorange\": [255,140,0,1],\n  \"darkorchid\": [153,50,204,1], \"darkred\": [139,0,0,1],\n  \"darksalmon\": [233,150,122,1], \"darkseagreen\": [143,188,143,1],\n  \"darkslateblue\": [72,61,139,1], \"darkslategray\": [47,79,79,1],\n  \"darkslategrey\": [47,79,79,1], \"darkturquoise\": [0,206,209,1],\n  \"darkviolet\": [148,0,211,1], \"deeppink\": [255,20,147,1],\n  \"deepskyblue\": [0,191,255,1], \"dimgray\": [105,105,105,1],\n  \"dimgrey\": [105,105,105,1], \"dodgerblue\": [30,144,255,1],\n  \"firebrick\": [178,34,34,1], \"floralwhite\": [255,250,240,1],\n  \"forestgreen\": [34,139,34,1], \"fuchsia\": [255,0,255,1],\n  \"gainsboro\": [220,220,220,1], \"ghostwhite\": [248,248,255,1],\n  \"gold\": [255,215,0,1], \"goldenrod\": [218,165,32,1],\n  \"gray\": [128,128,128,1], \"green\": [0,128,0,1],\n  \"greenyellow\": [173,255,47,1], \"grey\": [128,128,128,1],\n  \"honeydew\": [240,255,240,1], \"hotpink\": [255,105,180,1],\n  \"indianred\": [205,92,92,1], \"indigo\": [75,0,130,1],\n  \"ivory\": [255,255,240,1], \"khaki\": [240,230,140,1],\n  \"lavender\": [230,230,250,1], \"lavenderblush\": [255,240,245,1],\n  \"lawngreen\": [124,252,0,1], \"lemonchiffon\": [255,250,205,1],\n  \"lightblue\": [173,216,230,1], \"lightcoral\": [240,128,128,1],\n  \"lightcyan\": [224,255,255,1], \"lightgoldenrodyellow\": [250,250,210,1],\n  \"lightgray\": [211,211,211,1], \"lightgreen\": [144,238,144,1],\n  \"lightgrey\": [211,211,211,1], \"lightpink\": [255,182,193,1],\n  \"lightsalmon\": [255,160,122,1], \"lightseagreen\": [32,178,170,1],\n  \"lightskyblue\": [135,206,250,1], \"lightslategray\": [119,136,153,1],\n  \"lightslategrey\": [119,136,153,1], \"lightsteelblue\": [176,196,222,1],\n  \"lightyellow\": [255,255,224,1], \"lime\": [0,255,0,1],\n  \"limegreen\": [50,205,50,1], \"linen\": [250,240,230,1],\n  \"magenta\": [255,0,255,1], \"maroon\": [128,0,0,1],\n  \"mediumaquamarine\": [102,205,170,1], \"mediumblue\": [0,0,205,1],\n  \"mediumorchid\": [186,85,211,1], \"mediumpurple\": [147,112,219,1],\n  \"mediumseagreen\": [60,179,113,1], \"mediumslateblue\": [123,104,238,1],\n  \"mediumspringgreen\": [0,250,154,1], \"mediumturquoise\": [72,209,204,1],\n  \"mediumvioletred\": [199,21,133,1], \"midnightblue\": [25,25,112,1],\n  \"mintcream\": [245,255,250,1], \"mistyrose\": [255,228,225,1],\n  \"moccasin\": [255,228,181,1], \"navajowhite\": [255,222,173,1],\n  \"navy\": [0,0,128,1], \"oldlace\": [253,245,230,1],\n  \"olive\": [128,128,0,1], \"olivedrab\": [107,142,35,1],\n  \"orange\": [255,165,0,1], \"orangered\": [255,69,0,1],\n  \"orchid\": [218,112,214,1], \"palegoldenrod\": [238,232,170,1],\n  \"palegreen\": [152,251,152,1], \"paleturquoise\": [175,238,238,1],\n  \"palevioletred\": [219,112,147,1], \"papayawhip\": [255,239,213,1],\n  \"peachpuff\": [255,218,185,1], \"peru\": [205,133,63,1],\n  \"pink\": [255,192,203,1], \"plum\": [221,160,221,1],\n  \"powderblue\": [176,224,230,1], \"purple\": [128,0,128,1],\n  \"red\": [255,0,0,1], \"rosybrown\": [188,143,143,1],\n  \"royalblue\": [65,105,225,1], \"saddlebrown\": [139,69,19,1],\n  \"salmon\": [250,128,114,1], \"sandybrown\": [244,164,96,1],\n  \"seagreen\": [46,139,87,1], \"seashell\": [255,245,238,1],\n  \"sienna\": [160,82,45,1], \"silver\": [192,192,192,1],\n  \"skyblue\": [135,206,235,1], \"slateblue\": [106,90,205,1],\n  \"slategray\": [112,128,144,1], \"slategrey\": [112,128,144,1],\n  \"snow\": [255,250,250,1], \"springgreen\": [0,255,127,1],\n  \"steelblue\": [70,130,180,1], \"tan\": [210,180,140,1],\n  \"teal\": [0,128,128,1], \"thistle\": [216,191,216,1],\n  \"tomato\": [255,99,71,1], \"turquoise\": [64,224,208,1],\n  \"violet\": [238,130,238,1], \"wheat\": [245,222,179,1],\n  \"white\": [255,255,255,1], \"whitesmoke\": [245,245,245,1],\n  \"yellow\": [255,255,0,1], \"yellowgreen\": [154,205,50,1]}\n\nfunction clamp_css_byte(i) {  // Clamp to integer 0 .. 255.\n  i = Math.round(i);  // Seems to be what Chrome does (vs truncation).\n  return i < 0 ? 0 : i > 255 ? 255 : i;\n}\n\nfunction clamp_css_float(f) {  // Clamp to float 0.0 .. 1.0.\n  return f < 0 ? 0 : f > 1 ? 1 : f;\n}\n\nfunction parse_css_int(str) {  // int or percentage.\n  if (str[str.length - 1] === '%')\n    return clamp_css_byte(parseFloat(str) / 100 * 255);\n  return clamp_css_byte(parseInt(str));\n}\n\nfunction parse_css_float(str) {  // float or percentage.\n  if (str[str.length - 1] === '%')\n    return clamp_css_float(parseFloat(str) / 100);\n  return clamp_css_float(parseFloat(str));\n}\n\nfunction css_hue_to_rgb(m1, m2, h) {\n  if (h < 0) h += 1;\n  else if (h > 1) h -= 1;\n\n  if (h * 6 < 1) return m1 + (m2 - m1) * h * 6;\n  if (h * 2 < 1) return m2;\n  if (h * 3 < 2) return m1 + (m2 - m1) * (2/3 - h) * 6;\n  return m1;\n}\n\nfunction parseCSSColor(css_str) {\n  // Remove all whitespace, not compliant, but should just be more accepting.\n  var str = css_str.replace(/ /g, '').toLowerCase();\n\n  // Color keywords (and transparent) lookup.\n  if (str in kCSSColorTable) return kCSSColorTable[str].slice();  // dup.\n\n  // #abc and #abc123 syntax.\n  if (str[0] === '#') {\n    if (str.length === 4) {\n      var iv = parseInt(str.substr(1), 16);  // TODO(deanm): Stricter parsing.\n      if (!(iv >= 0 && iv <= 0xfff)) return null;  // Covers NaN.\n      return [((iv & 0xf00) >> 4) | ((iv & 0xf00) >> 8),\n              (iv & 0xf0) | ((iv & 0xf0) >> 4),\n              (iv & 0xf) | ((iv & 0xf) << 4),\n              1];\n    } else if (str.length === 7) {\n      var iv = parseInt(str.substr(1), 16);  // TODO(deanm): Stricter parsing.\n      if (!(iv >= 0 && iv <= 0xffffff)) return null;  // Covers NaN.\n      return [(iv & 0xff0000) >> 16,\n              (iv & 0xff00) >> 8,\n              iv & 0xff,\n              1];\n    }\n\n    return null;\n  }\n\n  var op = str.indexOf('('), ep = str.indexOf(')');\n  if (op !== -1 && ep + 1 === str.length) {\n    var fname = str.substr(0, op);\n    var params = str.substr(op+1, ep-(op+1)).split(',');\n    var alpha = 1;  // To allow case fallthrough.\n    switch (fname) {\n      case 'rgba':\n        if (params.length !== 4) return null;\n        alpha = parse_css_float(params.pop());\n        // Fall through.\n      case 'rgb':\n        if (params.length !== 3) return null;\n        return [parse_css_int(params[0]),\n                parse_css_int(params[1]),\n                parse_css_int(params[2]),\n                alpha];\n      case 'hsla':\n        if (params.length !== 4) return null;\n        alpha = parse_css_float(params.pop());\n        // Fall through.\n      case 'hsl':\n        if (params.length !== 3) return null;\n        var h = (((parseFloat(params[0]) % 360) + 360) % 360) / 360;  // 0 .. 1\n        // NOTE(deanm): According to the CSS spec s/l should only be\n        // percentages, but we don't bother and let float or percentage.\n        var s = parse_css_float(params[1]);\n        var l = parse_css_float(params[2]);\n        var m2 = l <= 0.5 ? l * (s + 1) : l + s - l * s;\n        var m1 = l * 2 - m2;\n        return [clamp_css_byte(css_hue_to_rgb(m1, m2, h+1/3) * 255),\n                clamp_css_byte(css_hue_to_rgb(m1, m2, h) * 255),\n                clamp_css_byte(css_hue_to_rgb(m1, m2, h-1/3) * 255),\n                alpha];\n      default:\n        return null;\n    }\n  }\n\n  return null;\n}\n\ntry { exports.parseCSSColor = parseCSSColor } catch(e) { }\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom.js": {
            "title": "$:/core/modules/utils/dom.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static DOM-related utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDetermines whether element 'a' contains element 'b'\nCode thanks to John Resig, http://ejohn.org/blog/comparing-document-position/\n*/\nexports.domContains = function(a,b) {\n\treturn a.contains ?\n\t\ta !== b && a.contains(b) :\n\t\t!!(a.compareDocumentPosition(b) & 16);\n};\n\nexports.removeChildren = function(node) {\n\twhile(node.hasChildNodes()) {\n\t\tnode.removeChild(node.firstChild);\n\t}\n};\n\nexports.hasClass = function(el,className) {\n\treturn el && el.className && el.className.toString().split(\" \").indexOf(className) !== -1;\n};\n\nexports.addClass = function(el,className) {\n\tvar c = el.className.split(\" \");\n\tif(c.indexOf(className) === -1) {\n\t\tc.push(className);\n\t\tel.className = c.join(\" \");\n\t}\n};\n\nexports.removeClass = function(el,className) {\n\tvar c = el.className.split(\" \"),\n\t\tp = c.indexOf(className);\n\tif(p !== -1) {\n\t\tc.splice(p,1);\n\t\tel.className = c.join(\" \");\n\t}\n};\n\nexports.toggleClass = function(el,className,status) {\n\tif(status === undefined) {\n\t\tstatus = !exports.hasClass(el,className);\n\t}\n\tif(status) {\n\t\texports.addClass(el,className);\n\t} else {\n\t\texports.removeClass(el,className);\n\t}\n};\n\n/*\nGet the first parent element that has scrollbars or use the body as fallback.\n*/\nexports.getScrollContainer = function(el) {\n\tvar doc = el.ownerDocument;\n\twhile(el.parentNode) {\t\n\t\tel = el.parentNode;\n\t\tif(el.scrollTop) {\n\t\t\treturn el;\n\t\t}\n\t}\n\treturn doc.body;\n};\n\n/*\nGet the scroll position of the viewport\nReturns:\n\t{\n\t\tx: horizontal scroll position in pixels,\n\t\ty: vertical scroll position in pixels\n\t}\n*/\nexports.getScrollPosition = function(srcWindow) {\n\tvar scrollWindow = srcWindow || window;\n\tif(\"scrollX\" in scrollWindow) {\n\t\treturn {x: scrollWindow.scrollX, y: scrollWindow.scrollY};\n\t} else {\n\t\treturn {x: scrollWindow.document.documentElement.scrollLeft, y: scrollWindow.document.documentElement.scrollTop};\n\t}\n};\n\n/*\nAdjust the height of a textarea to fit its content, preserving scroll position, and return the height\n*/\nexports.resizeTextAreaToFit = function(domNode,minHeight) {\n\t// Get the scroll container and register the current scroll position\n\tvar container = $tw.utils.getScrollContainer(domNode),\n\t\tscrollTop = container.scrollTop;\n    // Measure the specified minimum height\n\tdomNode.style.height = minHeight;\n\tvar measuredHeight = domNode.offsetHeight || parseInt(minHeight,10);\n\t// Set its height to auto so that it snaps to the correct height\n\tdomNode.style.height = \"auto\";\n\t// Calculate the revised height\n\tvar newHeight = Math.max(domNode.scrollHeight + domNode.offsetHeight - domNode.clientHeight,measuredHeight);\n\t// Only try to change the height if it has changed\n\tif(newHeight !== domNode.offsetHeight) {\n\t\tdomNode.style.height = newHeight + \"px\";\n\t\t// Make sure that the dimensions of the textarea are recalculated\n\t\t$tw.utils.forceLayout(domNode);\n\t\t// Set the container to the position we registered at the beginning\n\t\tcontainer.scrollTop = scrollTop;\n\t}\n\treturn newHeight;\n};\n\n/*\nGets the bounding rectangle of an element in absolute page coordinates\n*/\nexports.getBoundingPageRect = function(element) {\n\tvar scrollPos = $tw.utils.getScrollPosition(element.ownerDocument.defaultView),\n\t\tclientRect = element.getBoundingClientRect();\n\treturn {\n\t\tleft: clientRect.left + scrollPos.x,\n\t\twidth: clientRect.width,\n\t\tright: clientRect.right + scrollPos.x,\n\t\ttop: clientRect.top + scrollPos.y,\n\t\theight: clientRect.height,\n\t\tbottom: clientRect.bottom + scrollPos.y\n\t};\n};\n\n/*\nSaves a named password in the browser\n*/\nexports.savePassword = function(name,password) {\n\tvar done = false;\n\ttry {\n\t\twindow.localStorage.setItem(\"tw5-password-\" + name,password);\n\t\tdone = true;\n\t} catch(e) {\n\t}\n\tif(!done) {\n\t\t$tw.savedPasswords = $tw.savedPasswords || Object.create(null);\n\t\t$tw.savedPasswords[name] = password;\n\t}\n};\n\n/*\nRetrieve a named password from the browser\n*/\nexports.getPassword = function(name) {\n\tvar value;\n\ttry {\n\t\tvalue = window.localStorage.getItem(\"tw5-password-\" + name);\n\t} catch(e) {\n\t}\n\tif(value !== undefined) {\n\t\treturn value;\n\t} else {\n\t\treturn ($tw.savedPasswords || Object.create(null))[name] || \"\";\n\t}\n};\n\n/*\nForce layout of a dom node and its descendents\n*/\nexports.forceLayout = function(element) {\n\tvar dummy = element.offsetWidth;\n};\n\n/*\nPulse an element for debugging purposes\n*/\nexports.pulseElement = function(element) {\n\t// Event handler to remove the class at the end\n\telement.addEventListener($tw.browser.animationEnd,function handler(event) {\n\t\telement.removeEventListener($tw.browser.animationEnd,handler,false);\n\t\t$tw.utils.removeClass(element,\"pulse\");\n\t},false);\n\t// Apply the pulse class\n\t$tw.utils.removeClass(element,\"pulse\");\n\t$tw.utils.forceLayout(element);\n\t$tw.utils.addClass(element,\"pulse\");\n};\n\n/*\nAttach specified event handlers to a DOM node\ndomNode: where to attach the event handlers\nevents: array of event handlers to be added (see below)\nEach entry in the events array is an object with these properties:\nhandlerFunction: optional event handler function\nhandlerObject: optional event handler object\nhandlerMethod: optionally specifies object handler method name (defaults to `handleEvent`)\n*/\nexports.addEventListeners = function(domNode,events) {\n\t$tw.utils.each(events,function(eventInfo) {\n\t\tvar handler;\n\t\tif(eventInfo.handlerFunction) {\n\t\t\thandler = eventInfo.handlerFunction;\n\t\t} else if(eventInfo.handlerObject) {\n\t\t\tif(eventInfo.handlerMethod) {\n\t\t\t\thandler = function(event) {\n\t\t\t\t\teventInfo.handlerObject[eventInfo.handlerMethod].call(eventInfo.handlerObject,event);\n\t\t\t\t};\t\n\t\t\t} else {\n\t\t\t\thandler = eventInfo.handlerObject;\n\t\t\t}\n\t\t}\n\t\tdomNode.addEventListener(eventInfo.name,handler,false);\n\t});\n};\n\n/*\nGet the computed styles applied to an element as an array of strings of individual CSS properties\n*/\nexports.getComputedStyles = function(domNode) {\n\tvar textAreaStyles = window.getComputedStyle(domNode,null),\n\t\tstyleDefs = [],\n\t\tname;\n\tfor(var t=0; t<textAreaStyles.length; t++) {\n\t\tname = textAreaStyles[t];\n\t\tstyleDefs.push(name + \": \" + textAreaStyles.getPropertyValue(name) + \";\");\n\t}\n\treturn styleDefs;\n};\n\n/*\nApply a set of styles passed as an array of strings of individual CSS properties\n*/\nexports.setStyles = function(domNode,styleDefs) {\n\tdomNode.style.cssText = styleDefs.join(\"\");\n};\n\n/*\nCopy the computed styles from a source element to a destination element\n*/\nexports.copyStyles = function(srcDomNode,dstDomNode) {\n\t$tw.utils.setStyles(dstDomNode,$tw.utils.getComputedStyles(srcDomNode));\n};\n\n/*\nCopy plain text to the clipboard on browsers that support it\n*/\nexports.copyToClipboard = function(text,options) {\n\toptions = options || {};\n\tvar textArea = document.createElement(\"textarea\");\n\ttextArea.style.position = \"fixed\";\n\ttextArea.style.top = 0;\n\ttextArea.style.left = 0;\n\ttextArea.style.fontSize = \"12pt\";\n\ttextArea.style.width = \"2em\";\n\ttextArea.style.height = \"2em\";\n\ttextArea.style.padding = 0;\n\ttextArea.style.border = \"none\";\n\ttextArea.style.outline = \"none\";\n\ttextArea.style.boxShadow = \"none\";\n\ttextArea.style.background = \"transparent\";\n\ttextArea.value = text;\n\tdocument.body.appendChild(textArea);\n\ttextArea.select();\n\ttextArea.setSelectionRange(0,text.length);\n\tvar succeeded = false;\n\ttry {\n\t\tsucceeded = document.execCommand(\"copy\");\n\t} catch (err) {\n\t}\n\tif(!options.doNotNotify) {\n\t\t$tw.notifier.display(succeeded ? \"$:/language/Notifications/CopiedToClipboard/Succeeded\" : \"$:/language/Notifications/CopiedToClipboard/Failed\");\n\t}\n\tdocument.body.removeChild(textArea);\n};\n\nexports.getLocationPath = function() {\n\treturn window.location.toString().split(\"#\")[0];\n};\n\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/dragndrop.js": {
            "title": "$:/core/modules/utils/dom/dragndrop.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/dragndrop.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser data transfer utilities, used with the clipboard and drag and drop\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOptions:\n\ndomNode: dom node to make draggable\ndragImageType: \"pill\" or \"dom\"\ndragTiddlerFn: optional function to retrieve the title of tiddler to drag\ndragFilterFn: optional function to retreive the filter defining a list of tiddlers to drag\nwidget: widget to use as the contect for the filter\n*/\nexports.makeDraggable = function(options) {\n\tvar dragImageType = options.dragImageType || \"dom\",\n\t\tdragImage,\n\t\tdomNode = options.domNode;\n\t// Make the dom node draggable (not necessary for anchor tags)\n\tif((domNode.tagName || \"\").toLowerCase() !== \"a\") {\n\t\tdomNode.setAttribute(\"draggable\",\"true\");\t\t\n\t}\n\t// Add event handlers\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"dragstart\", handlerFunction: function(event) {\n\t\t\tif(event.dataTransfer === undefined) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\t// Collect the tiddlers being dragged\n\t\t\tvar dragTiddler = options.dragTiddlerFn && options.dragTiddlerFn(),\n\t\t\t\tdragFilter = options.dragFilterFn && options.dragFilterFn(),\n\t\t\t\ttitles = dragTiddler ? [dragTiddler] : [],\n\t\t\t    \tstartActions = options.startActions;\n\t\t\tif(dragFilter) {\n\t\t\t\ttitles.push.apply(titles,options.widget.wiki.filterTiddlers(dragFilter,options.widget));\n\t\t\t}\n\t\t\tvar titleString = $tw.utils.stringifyList(titles);\n\t\t\t// Check that we've something to drag\n\t\t\tif(titles.length > 0 && event.target === domNode) {\n\t\t\t\t// Mark the drag in progress\n\t\t\t\t$tw.dragInProgress = domNode;\n\t\t\t\t// Set the dragging class on the element being dragged\n\t\t\t\t$tw.utils.addClass(event.target,\"tc-dragging\");\n\t\t\t\t// Invoke drag-start actions if given\n\t\t\t\tif(startActions !== undefined) {\n\t\t\t\t\toptions.widget.invokeActionString(startActions,options.widget,event,{actionTiddler: titleString});\n\t\t\t\t}\n\t\t\t\t// Create the drag image elements\n\t\t\t\tdragImage = options.widget.document.createElement(\"div\");\n\t\t\t\tdragImage.className = \"tc-tiddler-dragger\";\n\t\t\t\tvar inner = options.widget.document.createElement(\"div\");\n\t\t\t\tinner.className = \"tc-tiddler-dragger-inner\";\n\t\t\t\tinner.appendChild(options.widget.document.createTextNode(\n\t\t\t\t\ttitles.length === 1 ? \n\t\t\t\t\t\ttitles[0] :\n\t\t\t\t\t\ttitles.length + \" tiddlers\"\n\t\t\t\t));\n\t\t\t\tdragImage.appendChild(inner);\n\t\t\t\toptions.widget.document.body.appendChild(dragImage);\n\t\t\t\t// Set the data transfer properties\n\t\t\t\tvar dataTransfer = event.dataTransfer;\n\t\t\t\t// Set up the image\n\t\t\t\tdataTransfer.effectAllowed = \"all\";\n\t\t\t\tif(dataTransfer.setDragImage) {\n\t\t\t\t\tif(dragImageType === \"pill\") {\n\t\t\t\t\t\tdataTransfer.setDragImage(dragImage.firstChild,-16,-16);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvar r = domNode.getBoundingClientRect();\n\t\t\t\t\t\tdataTransfer.setDragImage(domNode,event.clientX-r.left,event.clientY-r.top);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Set up the data transfer\n\t\t\t\tif(dataTransfer.clearData) {\n\t\t\t\t\tdataTransfer.clearData();\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\tvar jsonData = [];\n\t\t\t\tif(titles.length > 1) {\n\t\t\t\t\ttitles.forEach(function(title) {\n\t\t\t\t\t\tjsonData.push(options.widget.wiki.getTiddlerAsJson(title));\n\t\t\t\t\t});\n\t\t\t\t\tjsonData = \"[\" + jsonData.join(\",\") + \"]\";\n\t\t\t\t} else {\n\t\t\t\t\tjsonData = options.widget.wiki.getTiddlerAsJson(titles[0]);\n\t\t\t\t}\n\t\t\t\t// IE doesn't like these content types\n\t\t\t\tif(!$tw.browser.isIE) {\n\t\t\t\t\tdataTransfer.setData(\"text/vnd.tiddler\",jsonData);\n\t\t\t\t\tdataTransfer.setData(\"text/plain\",titleString);\n\t\t\t\t\tdataTransfer.setData(\"text/x-moz-url\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t\t}\n\t\t\t\tdataTransfer.setData(\"URL\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t\tdataTransfer.setData(\"Text\",titleString);\n\t\t\t\tevent.stopPropagation();\n\t\t\t}\n\t\t\treturn false;\n\t\t}},\n\t\t{name: \"dragend\", handlerFunction: function(event) {\n\t\t\tif(event.target === domNode) {\n\t\t\t\t// Collect the tiddlers being dragged\n\t\t\t\tvar dragTiddler = options.dragTiddlerFn && options.dragTiddlerFn(),\n\t\t\t\t\tdragFilter = options.dragFilterFn && options.dragFilterFn(),\n\t\t\t\t\ttitles = dragTiddler ? [dragTiddler] : [],\n\t\t\t    \t\tendActions = options.endActions;\n\t\t\t\tif(dragFilter) {\n\t\t\t\t\ttitles.push.apply(titles,options.widget.wiki.filterTiddlers(dragFilter,options.widget));\n\t\t\t\t}\n\t\t\t\tvar titleString = $tw.utils.stringifyList(titles);\n\t\t\t\t$tw.dragInProgress = null;\n\t\t\t\t// Invoke drag-end actions if given\n\t\t\t\tif(endActions !== undefined) {\n\t\t\t\t\toptions.widget.invokeActionString(endActions,options.widget,event,{actionTiddler: titleString});\n\t\t\t\t}\n\t\t\t\t// Remove the dragging class on the element being dragged\n\t\t\t\t$tw.utils.removeClass(event.target,\"tc-dragging\");\n\t\t\t\t// Delete the drag image element\n\t\t\t\tif(dragImage) {\n\t\t\t\t\tdragImage.parentNode.removeChild(dragImage);\n\t\t\t\t\tdragImage = null;\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn false;\n\t\t}}\n\t]);\n};\n\nexports.importDataTransfer = function(dataTransfer,fallbackTitle,callback) {\n\t// Try each provided data type in turn\n\tif($tw.log.IMPORT) {\n\t\tconsole.log(\"Available data types:\");\n\t\tfor(var type=0; type<dataTransfer.types.length; type++) {\n\t\t\tconsole.log(\"type\",dataTransfer.types[type],dataTransfer.getData(dataTransfer.types[type]))\n\t\t}\n\t}\n\tfor(var t=0; t<importDataTypes.length; t++) {\n\t\tif(!$tw.browser.isIE || importDataTypes[t].IECompatible) {\n\t\t\t// Get the data\n\t\t\tvar dataType = importDataTypes[t];\n\t\t\t\tvar data = dataTransfer.getData(dataType.type);\n\t\t\t// Import the tiddlers in the data\n\t\t\tif(data !== \"\" && data !== null) {\n\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\tconsole.log(\"Importing data type '\" + dataType.type + \"', data: '\" + data + \"'\")\n\t\t\t\t}\n\t\t\t\tvar tiddlerFields = dataType.toTiddlerFieldsArray(data,fallbackTitle);\n\t\t\t\tcallback(tiddlerFields);\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t}\n};\n\nvar importDataTypes = [\n\t{type: \"text/vnd.tiddler\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn parseJSONTiddlers(data,fallbackTitle);\n\t}},\n\t{type: \"URL\", IECompatible: true, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = decodeURIComponent(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}},\n\t{type: \"text/x-moz-url\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = decodeURIComponent(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}},\n\t{type: \"text/html\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"text/plain\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"Text\", IECompatible: true, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"text/uri-list\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}}\n];\n\nfunction parseJSONTiddlers(json,fallbackTitle) {\n\tvar data = JSON.parse(json);\n\tif(!$tw.utils.isArray(data)) {\n\t\tdata = [data];\n\t}\n\tdata.forEach(function(fields) {\n\t\tfields.title = fields.title || fallbackTitle;\n\t});\n\treturn data;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/http.js": {
            "title": "$:/core/modules/utils/dom/http.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/http.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser HTTP support\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nA quick and dirty HTTP function; to be refactored later. Options are:\n\turl: URL to retrieve\n\theaders: hashmap of headers to send\n\ttype: GET, PUT, POST etc\n\tcallback: function invoked with (err,data,xhr)\n\treturnProp: string name of the property to return as first argument of callback\n*/\nexports.httpRequest = function(options) {\n\tvar type = options.type || \"GET\",\n\t\turl = options.url,\n\t\theaders = options.headers || {accept: \"application/json\"},\n\t\treturnProp = options.returnProp || \"responseText\",\n\t\trequest = new XMLHttpRequest(),\n\t\tdata = \"\",\n\t\tf,results;\n\t// Massage the data hashmap into a string\n\tif(options.data) {\n\t\tif(typeof options.data === \"string\") { // Already a string\n\t\t\tdata = options.data;\n\t\t} else { // A hashmap of strings\n\t\t\tresults = [];\n\t\t\t$tw.utils.each(options.data,function(dataItem,dataItemTitle) {\n\t\t\t\tresults.push(dataItemTitle + \"=\" + encodeURIComponent(dataItem));\n\t\t\t});\n\t\t\tif(type === \"GET\" || type === \"HEAD\") {\n\t\t\t\turl += \"?\" + results.join(\"&\");\n\t\t\t} else {\n\t\t\t\tdata = results.join(\"&\");\n\t\t\t}\n\t\t}\n\t}\n\t// Set up the state change handler\n\trequest.onreadystatechange = function() {\n\t\tif(this.readyState === 4) {\n\t\t\tif(this.status === 200 || this.status === 201 || this.status === 204) {\n\t\t\t\t// Success!\n\t\t\t\toptions.callback(null,this[returnProp],this);\n\t\t\t\treturn;\n\t\t\t}\n\t\t// Something went wrong\n\t\toptions.callback($tw.language.getString(\"Error/XMLHttpRequest\") + \": \" + this.status,null,this);\n\t\t}\n\t};\n\t// Make the request\n\trequest.open(type,url,true);\n\tif(headers) {\n\t\t$tw.utils.each(headers,function(header,headerTitle,object) {\n\t\t\trequest.setRequestHeader(headerTitle,header);\n\t\t});\n\t}\n\tif(data && !$tw.utils.hop(headers,\"Content-type\")) {\n\t\trequest.setRequestHeader(\"Content-type\",\"application/x-www-form-urlencoded; charset=UTF-8\");\n\t}\n\tif(!$tw.utils.hop(headers,\"X-Requested-With\")) {\n\t\trequest.setRequestHeader(\"X-Requested-With\",\"TiddlyWiki\");\n\t}\n\ttry {\n\t\trequest.send(data);\n\t} catch(e) {\n\t\toptions.callback(e,null,this);\n\t}\n\treturn request;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/keyboard.js": {
            "title": "$:/core/modules/utils/dom/keyboard.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/keyboard.js\ntype: application/javascript\nmodule-type: utils\n\nKeyboard utilities; now deprecated. Instead, use $tw.keyboardManager\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n[\"parseKeyDescriptor\",\"checkKeyDescriptor\"].forEach(function(method) {\n\texports[method] = function() {\n\t\tif($tw.keyboardManager) {\n\t\t\treturn $tw.keyboardManager[method].apply($tw.keyboardManager,Array.prototype.slice.call(arguments,0));\n\t\t} else {\n\t\t\treturn null\n\t\t}\n\t};\n});\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/modal.js": {
            "title": "$:/core/modules/utils/dom/modal.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/modal.js\ntype: application/javascript\nmodule-type: utils\n\nModal message mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar Modal = function(wiki) {\n\tthis.wiki = wiki;\n\tthis.modalCount = 0;\n};\n\n/*\nDisplay a modal dialogue\n\ttitle: Title of tiddler to display\n\toptions: see below\nOptions include:\n\tdownloadLink: Text of a big download link to include\n*/\nModal.prototype.display = function(title,options) {\n\toptions = options || {};\n\tthis.srcDocument = options.variables && (options.variables.rootwindow === \"true\" ||\n\t\t\t\toptions.variables.rootwindow === \"yes\") ? document :\n\t\t\t\t(options.event.event && options.event.event.target ? options.event.event.target.ownerDocument : document);\n\tthis.srcWindow = this.srcDocument.defaultView;\n\tvar self = this,\n\t\trefreshHandler,\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\ttiddler = this.wiki.getTiddler(title);\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Create the variables\n\tvar variables = $tw.utils.extend({currentTiddler: title},options.variables);\n\t// Create the wrapper divs\n\tvar wrapper = this.srcDocument.createElement(\"div\"),\n\t\tmodalBackdrop = this.srcDocument.createElement(\"div\"),\n\t\tmodalWrapper = this.srcDocument.createElement(\"div\"),\n\t\tmodalHeader = this.srcDocument.createElement(\"div\"),\n\t\theaderTitle = this.srcDocument.createElement(\"h3\"),\n\t\tmodalBody = this.srcDocument.createElement(\"div\"),\n\t\tmodalLink = this.srcDocument.createElement(\"a\"),\n\t\tmodalFooter = this.srcDocument.createElement(\"div\"),\n\t\tmodalFooterHelp = this.srcDocument.createElement(\"span\"),\n\t\tmodalFooterButtons = this.srcDocument.createElement(\"span\");\n\t// Up the modal count and adjust the body class\n\tthis.modalCount++;\n\tthis.adjustPageClass();\n\t// Add classes\n\t$tw.utils.addClass(wrapper,\"tc-modal-wrapper\");\n\tif(tiddler.fields && tiddler.fields.class) {\n\t\t$tw.utils.addClass(wrapper,tiddler.fields.class);\n\t}\n\t$tw.utils.addClass(modalBackdrop,\"tc-modal-backdrop\");\n\t$tw.utils.addClass(modalWrapper,\"tc-modal\");\n\t$tw.utils.addClass(modalHeader,\"tc-modal-header\");\n\t$tw.utils.addClass(modalBody,\"tc-modal-body\");\n\t$tw.utils.addClass(modalFooter,\"tc-modal-footer\");\n\t// Join them together\n\twrapper.appendChild(modalBackdrop);\n\twrapper.appendChild(modalWrapper);\n\tmodalHeader.appendChild(headerTitle);\n\tmodalWrapper.appendChild(modalHeader);\n\tmodalWrapper.appendChild(modalBody);\n\tmodalFooter.appendChild(modalFooterHelp);\n\tmodalFooter.appendChild(modalFooterButtons);\n\tmodalWrapper.appendChild(modalFooter);\n\t// Render the title of the message\n\tvar headerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"subtitle\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\tattributes: {\n\t\t\t\ttext: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title\n\t\t}}}],\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\theaderWidgetNode.render(headerTitle,null);\n\t// Render the body of the message\n\tvar bodyWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\tbodyWidgetNode.render(modalBody,null);\n\t// Setup the link if present\n\tif(options.downloadLink) {\n\t\tmodalLink.href = options.downloadLink;\n\t\tmodalLink.appendChild(this.srcDocument.createTextNode(\"Right-click to save changes\"));\n\t\tmodalBody.appendChild(modalLink);\n\t}\n\t// Render the footer of the message\n\tif(tiddler.fields && tiddler.fields.help) {\n\t\tvar link = this.srcDocument.createElement(\"a\");\n\t\tlink.setAttribute(\"href\",tiddler.fields.help);\n\t\tlink.setAttribute(\"target\",\"_blank\");\n\t\tlink.setAttribute(\"rel\",\"noopener noreferrer\");\n\t\tlink.appendChild(this.srcDocument.createTextNode(\"Help\"));\n\t\tmodalFooterHelp.appendChild(link);\n\t\tmodalFooterHelp.style.float = \"left\";\n\t}\n\tvar footerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"footer\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"button\",\n\t\t\tattributes: {\n\t\t\t\tmessage: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: \"tm-close-tiddler\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\tattributes: {\n\t\t\t\t\ttext: {\n\t\t\t\t\t\ttype: \"string\",\n\t\t\t\t\t\tvalue: $tw.language.getString(\"Buttons/Close/Caption\")\n\t\t\t}}}\n\t\t]}],\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\tfooterWidgetNode.render(modalFooterButtons,null);\n\t// Set up the refresh handler\n\trefreshHandler = function(changes) {\n\t\theaderWidgetNode.refresh(changes,modalHeader,null);\n\t\tbodyWidgetNode.refresh(changes,modalBody,null);\n\t\tfooterWidgetNode.refresh(changes,modalFooterButtons,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Add the close event handler\n\tvar closeHandler = function(event) {\n\t\t// Remove our refresh handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Decrease the modal count and adjust the body class\n\t\tself.modalCount--;\n\t\tself.adjustPageClass();\n\t\t// Force layout and animate the modal message away\n\t\t$tw.utils.forceLayout(modalBackdrop);\n\t\t$tw.utils.forceLayout(modalWrapper);\n\t\t$tw.utils.setStyle(modalBackdrop,[\n\t\t\t{opacity: \"0\"}\n\t\t]);\n\t\t$tw.utils.setStyle(modalWrapper,[\n\t\t\t{transform: \"translateY(\" + self.srcWindow.innerHeight + \"px)\"}\n\t\t]);\n\t\t// Set up an event for the transition end\n\t\tself.srcWindow.setTimeout(function() {\n\t\t\tif(wrapper.parentNode) {\n\t\t\t\t// Remove the modal message from the DOM\n\t\t\t\tself.srcDocument.body.removeChild(wrapper);\n\t\t\t}\n\t\t},duration);\n\t\t// Don't let anyone else handle the tm-close-tiddler message\n\t\treturn false;\n\t};\n\theaderWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tbodyWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tfooterWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\t// Set the initial styles for the message\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-this.srcWindow.innerHeight) + \"px)\"}\n\t]);\n\t// Put the message into the document\n\tthis.srcDocument.body.appendChild(wrapper);\n\t// Set up animation for the styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{transition: \"opacity \" + duration + \"ms ease-out\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(modalBackdrop);\n\t$tw.utils.forceLayout(modalWrapper);\n\t// Set final animated styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0.7\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n};\n\nModal.prototype.adjustPageClass = function() {\n\tvar windowContainer = $tw.pageContainer ? ($tw.pageContainer === this.srcDocument.body.firstChild ? $tw.pageContainer : this.srcDocument.body.firstChild) : null;\n\tif(windowContainer) {\n\t\t$tw.utils.toggleClass(windowContainer,\"tc-modal-displayed\",this.modalCount > 0);\n\t}\n};\n\nexports.Modal = Modal;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/notifier.js": {
            "title": "$:/core/modules/utils/dom/notifier.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/notifier.js\ntype: application/javascript\nmodule-type: utils\n\nNotifier mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar Notifier = function(wiki) {\n\tthis.wiki = wiki;\n};\n\n/*\nDisplay a notification\n\ttitle: Title of tiddler containing the notification text\n\toptions: see below\nOptions include:\n*/\nNotifier.prototype.display = function(title,options) {\n\toptions = options || {};\n\t// Create the wrapper divs\n\tvar self = this,\n\t\tnotification = document.createElement(\"div\"),\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\trefreshHandler;\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Add classes\n\t$tw.utils.addClass(notification,\"tc-notification\");\n\t// Create the variables\n\tvar variables = $tw.utils.extend({currentTiddler: title},options.variables);\n\t// Render the body of the notification\n\tvar widgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: document,\n\t\tvariables: variables,\n\t\timportPageMacros: true});\n\twidgetNode.render(notification,null);\n\trefreshHandler = function(changes) {\n\t\twidgetNode.refresh(changes,notification,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Set the initial styles for the notification\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"0\"},\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-window.innerHeight) + \"px)\"},\n\t\t{transition: \"opacity \" + duration + \"ms ease-out, \" + $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Add the notification to the DOM\n\tdocument.body.appendChild(notification);\n\t// Force layout\n\t$tw.utils.forceLayout(notification);\n\t// Set final animated styles\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n\t// Set a timer to remove the notification\n\twindow.setTimeout(function() {\n\t\t// Remove our change event handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Force layout and animate the notification away\n\t\t$tw.utils.forceLayout(notification);\n\t\t$tw.utils.setStyle(notification,[\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transform: \"translateX(\" + (notification.offsetWidth) + \"px)\"}\n\t\t]);\n\t\t// Remove the modal message from the DOM once the transition ends\n\t\tsetTimeout(function() {\n\t\t\tif(notification.parentNode) {\n\t\t\t\tdocument.body.removeChild(notification);\n\t\t\t}\n\t\t},duration);\n\t},$tw.config.preferences.notificationDuration);\n};\n\nexports.Notifier = Notifier;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/popup.js": {
            "title": "$:/core/modules/utils/dom/popup.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/popup.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Popup object prototype that manages popups in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreates a Popup object with these options:\n\trootElement: the DOM element to which the popup zapper should be attached\n*/\nvar Popup = function(options) {\n\toptions = options || {};\n\tthis.rootElement = options.rootElement || document.documentElement;\n\tthis.popups = []; // Array of {title:,wiki:,domNode:} objects\n};\n\n/*\nTrigger a popup open or closed. Parameters are in a hashmap:\n\ttitle: title of the tiddler where the popup details are stored\n\tdomNode: dom node to which the popup will be positioned (one of domNode or domNodeRect is required)\n\tdomNodeRect: rectangle to which the popup will be positioned\n\twiki: wiki\n\tforce: if specified, forces the popup state to true or false (instead of toggling it)\n\tfloating: if true, skips registering the popup, meaning that it will need manually clearing\n*/\nPopup.prototype.triggerPopup = function(options) {\n\t// Check if this popup is already active\n\tvar index = this.findPopup(options.title);\n\t// Compute the new state\n\tvar state = index === -1;\n\tif(options.force !== undefined) {\n\t\tstate = options.force;\n\t}\n\t// Show or cancel the popup according to the new state\n\tif(state) {\n\t\tthis.show(options);\n\t} else {\n\t\tthis.cancel(index);\n\t}\n};\n\nPopup.prototype.findPopup = function(title) {\n\tvar index = -1;\n\tfor(var t=0; t<this.popups.length; t++) {\n\t\tif(this.popups[t].title === title) {\n\t\t\tindex = t;\n\t\t}\n\t}\n\treturn index;\n};\n\nPopup.prototype.handleEvent = function(event) {\n\tif(event.type === \"click\") {\n\t\t// Find out what was clicked on\n\t\tvar info = this.popupInfo(event.target),\n\t\t\tcancelLevel = info.popupLevel - 1;\n\t\t// Don't remove the level that was clicked on if we clicked on a handle\n\t\tif(info.isHandle) {\n\t\t\tcancelLevel++;\n\t\t}\n\t\t// Cancel\n\t\tthis.cancel(cancelLevel);\n\t}\n};\n\n/*\nFind the popup level containing a DOM node. Returns:\npopupLevel: count of the number of nested popups containing the specified element\nisHandle: true if the specified element is within a popup handle\n*/\nPopup.prototype.popupInfo = function(domNode) {\n\tvar isHandle = false,\n\t\tpopupCount = 0,\n\t\tnode = domNode;\n\t// First check ancestors to see if we're within a popup handle\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup-handle\")) {\n\t\t\tisHandle = true;\n\t\t\tpopupCount++;\n\t\t}\n\t\tif($tw.utils.hasClass(node,\"tc-popup-keep\")) {\n\t\t\tisHandle = true;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\t// Then count the number of ancestor popups\n\tnode = domNode;\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup\")) {\n\t\t\tpopupCount++;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\tvar info = {\n\t\tpopupLevel: popupCount,\n\t\tisHandle: isHandle\n\t};\n\treturn info;\n};\n\n/*\nDisplay a popup by adding it to the stack\n*/\nPopup.prototype.show = function(options) {\n\t// Find out what was clicked on\n\tvar info = this.popupInfo(options.domNode);\n\t// Cancel any higher level popups\n\tthis.cancel(info.popupLevel);\n\n\t// Store the popup details if not already there\n\tif(!options.floating && this.findPopup(options.title) === -1) {\n\t\tthis.popups.push({\n\t\t\ttitle: options.title,\n\t\t\twiki: options.wiki,\n\t\t\tdomNode: options.domNode,\n\t\t\tnoStateReference: options.noStateReference\n\t\t});\n\t}\n\t// Set the state tiddler\n\tvar rect;\n\tif(options.domNodeRect) {\n\t\trect = options.domNodeRect;\n\t} else {\n\t\trect = {\n\t\t\tleft: options.domNode.offsetLeft,\n\t\t\ttop: options.domNode.offsetTop,\n\t\t\twidth: options.domNode.offsetWidth,\n\t\t\theight: options.domNode.offsetHeight\n\t\t};\n\t}\n\tvar popupRect = \"(\" + rect.left + \",\" + rect.top + \",\" + \n\t\t\t\trect.width + \",\" + rect.height + \")\";\n\tif(options.noStateReference) {\n\t\toptions.wiki.setText(options.title,\"text\",undefined,popupRect);\n\t} else {\n\t\toptions.wiki.setTextReference(options.title,popupRect);\n\t}\n\t// Add the click handler if we have any popups\n\tif(this.popups.length > 0) {\n\t\tthis.rootElement.addEventListener(\"click\",this,true);\t\t\n\t}\n};\n\n/*\nCancel all popups at or above a specified level or DOM node\nlevel: popup level to cancel (0 cancels all popups)\n*/\nPopup.prototype.cancel = function(level) {\n\tvar numPopups = this.popups.length;\n\tlevel = Math.max(0,Math.min(level,numPopups));\n\tfor(var t=level; t<numPopups; t++) {\n\t\tvar popup = this.popups.pop();\n\t\tif(popup.title) {\n\t\t\tif(popup.noStateReference) {\n\t\t\t\tpopup.wiki.deleteTiddler(popup.title);\n\t\t\t} else {\n\t\t\t\tpopup.wiki.deleteTiddler($tw.utils.parseTextReference(popup.title).title);\n        \t\t}\n\t\t}\n\t}\n\tif(this.popups.length === 0) {\n\t\tthis.rootElement.removeEventListener(\"click\",this,false);\n\t}\n};\n\n/*\nReturns true if the specified title and text identifies an active popup\n*/\nPopup.prototype.readPopupState = function(text) {\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/;\n\treturn popupLocationRegExp.test(text);\n};\n\nexports.Popup = Popup;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/scroller.js": {
            "title": "$:/core/modules/utils/dom/scroller.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/scroller.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Scroller object prototype that manages scrolling in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nEvent handler for when the `tm-scroll` event hits the document body\n*/\nvar PageScroller = function() {\n\tthis.idRequestFrame = null;\n\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\twindow.webkitRequestAnimationFrame ||\n\t\twindow.mozRequestAnimationFrame ||\n\t\tfunction(callback) {\n\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t};\n\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\twindow.webkitCancelAnimationFrame ||\n\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\twindow.mozCancelAnimationFrame ||\n\t\twindow.mozCancelRequestAnimationFrame ||\n\t\tfunction(id) {\n\t\t\twindow.clearTimeout(id);\n\t\t};\n};\n\nPageScroller.prototype.isScrolling = function() {\n\treturn this.idRequestFrame !== null;\n}\n\nPageScroller.prototype.cancelScroll = function(srcWindow) {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(srcWindow,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle an event\n*/\nPageScroller.prototype.handleEvent = function(event) {\n\tif(event.type === \"tm-scroll\") {\n\t\treturn this.scrollIntoView(event.target);\n\t}\n\treturn true;\n};\n\n/*\nHandle a scroll event hitting the page document\n*/\nPageScroller.prototype.scrollIntoView = function(element,callback) {\n\tvar self = this,\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t    srcWindow = element ? element.ownerDocument.defaultView : window;\n\t// Now get ready to scroll the body\n\tthis.cancelScroll(srcWindow);\n\tthis.startTime = Date.now();\n\t// Get the height of any position:fixed toolbars\n\tvar toolbar = srcWindow.document.querySelector(\".tc-adjust-top-of-scroll\"),\n\t\toffset = 0;\n\tif(toolbar) {\n\t\toffset = toolbar.offsetHeight;\n\t}\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar getBounds = function() {\n\t\t\tvar clientBounds = typeof callback === 'function' ? callback() : element.getBoundingClientRect(),\n\t\t\t\tscrollPosition = $tw.utils.getScrollPosition(srcWindow);\n\t\t\treturn {\n\t\t\t\tleft: clientBounds.left + scrollPosition.x,\n\t\t\t\ttop: clientBounds.top + scrollPosition.y - offset,\n\t\t\t\twidth: clientBounds.width,\n\t\t\t\theight: clientBounds.height\n\t\t\t};\n\t\t},\n\t\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\t\t// targetPos/targetSize - position and size of the target element\n\t\t// currentPos/currentSize - position and size of the current scroll viewport\n\t\t// returns: new position of the scroll viewport\n\t\tgetEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\tvar newPos = targetPos;\n\t\t\t// If we are scrolling within 50 pixels of the top/left then snap to zero\n\t\t\tif(newPos < 50) {\n\t\t\t\tnewPos = 0;\n\t\t\t}\n\t\t\treturn newPos;\n\t\t},\n\t\tdrawFrame = function drawFrame() {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\t\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll(srcWindow);\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\tvar scrollPosition = $tw.utils.getScrollPosition(srcWindow),\n\t\t\t\tbounds = getBounds(),\n\t\t\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,srcWindow.innerWidth),\n\t\t\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,srcWindow.innerHeight);\n\t\t\tsrcWindow.scrollTo(scrollPosition.x + (endX - scrollPosition.x) * t,scrollPosition.y + (endY - scrollPosition.y) * t);\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(srcWindow,drawFrame);\n\t\t\t}\n\t\t};\n\tdrawFrame();\n};\n\nexports.PageScroller = PageScroller;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/edition-info.js": {
            "title": "$:/core/modules/utils/edition-info.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/edition-info.js\ntype: application/javascript\nmodule-type: utils-node\n\nInformation about the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\nvar editionInfo;\n\nexports.getEditionInfo = function() {\n\tif(!editionInfo) {\n\t\t// Enumerate the edition paths\n\t\tvar editionPaths = $tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar);\n\t\teditionInfo = {};\n\t\tfor(var editionIndex=0; editionIndex<editionPaths.length; editionIndex++) {\n\t\t\tvar editionPath = editionPaths[editionIndex];\n\t\t\t// Enumerate the folders\n\t\t\tvar entries = fs.readdirSync(editionPath);\n\t\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\t\tvar entry = entries[entryIndex];\n\t\t\t\t// Check if directories have a valid tiddlywiki.info\n\t\t\t\tif(!editionInfo[entry] && $tw.utils.isDirectory(path.resolve(editionPath,entry))) {\n\t\t\t\t\tvar info;\n\t\t\t\t\ttry {\n\t\t\t\t\t\tinfo = JSON.parse(fs.readFileSync(path.resolve(editionPath,entry,\"tiddlywiki.info\"),\"utf8\"));\n\t\t\t\t\t} catch(ex) {\n\t\t\t\t\t}\n\t\t\t\t\tif(info) {\n\t\t\t\t\t\teditionInfo[entry] = info;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn editionInfo;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils-node"
        },
        "$:/core/modules/utils/fakedom.js": {
            "title": "$:/core/modules/utils/fakedom.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/fakedom.js\ntype: application/javascript\nmodule-type: global\n\nA barebones implementation of DOM interfaces needed by the rendering mechanism.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Sequence number used to enable us to track objects for testing\nvar sequenceNumber = null;\n\nvar bumpSequenceNumber = function(object) {\n\tif(sequenceNumber !== null) {\n\t\tobject.sequenceNumber = sequenceNumber++;\n\t}\n};\n\nvar TW_TextNode = function(text) {\n\tbumpSequenceNumber(this);\n\tthis.textContent = text + \"\";\n};\n\nObject.defineProperty(TW_TextNode.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn 3;\n\t}\n});\n\nObject.defineProperty(TW_TextNode.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\treturn this.textContent.replace(/(\\r?\\n)/g,\"\");\n\t}\n});\n\nvar TW_Element = function(tag,namespace) {\n\tbumpSequenceNumber(this);\n\tthis.isTiddlyWikiFakeDom = true;\n\tthis.tag = tag;\n\tthis.attributes = {};\n\tthis.isRaw = false;\n\tthis.children = [];\n\tthis._style = {};\n\tthis.namespaceURI = namespace || \"http://www.w3.org/1999/xhtml\";\n};\n\nObject.defineProperty(TW_Element.prototype, \"style\", {\n\tget: function() {\n\t\treturn this._style;\n\t},\n\tset: function(str) {\n\t\tvar self = this;\n\t\tstr = str || \"\";\n\t\t$tw.utils.each(str.split(\";\"),function(declaration) {\n\t\t\tvar parts = declaration.split(\":\"),\n\t\t\t\tname = $tw.utils.trim(parts[0]),\n\t\t\t\tvalue = $tw.utils.trim(parts[1]);\n\t\t\tif(name && value) {\n\t\t\t\tself._style[$tw.utils.convertStyleNameToPropertyName(name)] = value;\n\t\t\t}\n\t\t});\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn 1;\n\t}\n});\n\nTW_Element.prototype.getAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot getAttribute on a raw TW_Element\";\n\t}\n\treturn this.attributes[name];\n};\n\nTW_Element.prototype.setAttribute = function(name,value) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot setAttribute on a raw TW_Element\";\n\t}\n\tthis.attributes[name] = value + \"\";\n};\n\nTW_Element.prototype.setAttributeNS = function(namespace,name,value) {\n\tthis.setAttribute(name,value);\n};\n\nTW_Element.prototype.removeAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot removeAttribute on a raw TW_Element\";\n\t}\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\tdelete this.attributes[name];\n\t}\n};\n\nTW_Element.prototype.appendChild = function(node) {\n\tthis.children.push(node);\n\tnode.parentNode = this;\n};\n\nTW_Element.prototype.insertBefore = function(node,nextSibling) {\n\tif(nextSibling) {\n\t\tvar p = this.children.indexOf(nextSibling);\n\t\tif(p !== -1) {\n\t\t\tthis.children.splice(p,0,node);\n\t\t\tnode.parentNode = this;\n\t\t} else {\n\t\t\tthis.appendChild(node);\n\t\t}\n\t} else {\n\t\tthis.appendChild(node);\n\t}\n};\n\nTW_Element.prototype.removeChild = function(node) {\n\tvar p = this.children.indexOf(node);\n\tif(p !== -1) {\n\t\tthis.children.splice(p,1);\n\t}\n};\n\nTW_Element.prototype.hasChildNodes = function() {\n\treturn !!this.children.length;\n};\n\nObject.defineProperty(TW_Element.prototype, \"childNodes\", {\n\tget: function() {\n\t\treturn this.children;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"firstChild\", {\n\tget: function() {\n\t\treturn this.children[0];\n\t}\n});\n\nTW_Element.prototype.addEventListener = function(type,listener,useCapture) {\n\t// Do nothing\n};\n\nObject.defineProperty(TW_Element.prototype, \"tagName\", {\n\tget: function() {\n\t\treturn this.tag || \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"className\", {\n\tget: function() {\n\t\treturn this.attributes[\"class\"] || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes[\"class\"] = value + \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"value\", {\n\tget: function() {\n\t\treturn this.attributes.value || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes.value = value + \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"outerHTML\", {\n\tget: function() {\n\t\tvar output = [],attr,a,v;\n\t\toutput.push(\"<\",this.tag);\n\t\tif(this.attributes) {\n\t\t\tattr = [];\n\t\t\tfor(a in this.attributes) {\n\t\t\t\tattr.push(a);\n\t\t\t}\n\t\t\tattr.sort();\n\t\t\tfor(a=0; a<attr.length; a++) {\n\t\t\t\tv = this.attributes[attr[a]];\n\t\t\t\tif(v !== undefined) {\n\t\t\t\t\toutput.push(\" \",attr[a],\"=\\\"\",$tw.utils.htmlEncode(v),\"\\\"\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif(this._style) {\n\t\t\tvar style = [];\n\t\t\tfor(var s in this._style) {\n\t\t\t\tstyle.push($tw.utils.convertPropertyNameToStyleName(s) + \":\" + this._style[s] + \";\");\n\t\t\t}\n\t\t\tif(style.length > 0) {\n\t\t\t\toutput.push(\" style=\\\"\",style.join(\"\"),\"\\\"\");\n\t\t\t}\n\t\t}\n\t\toutput.push(\">\");\n\t\tif($tw.config.htmlVoidElements.indexOf(this.tag) === -1) {\n\t\t\toutput.push(this.innerHTML);\n\t\t\toutput.push(\"</\",this.tag,\">\");\n\t\t}\n\t\treturn output.join(\"\");\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"innerHTML\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn this.rawHTML;\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tif(node instanceof TW_Element) {\n\t\t\t\t\tb.push(node.outerHTML);\n\t\t\t\t} else if(node instanceof TW_TextNode) {\n\t\t\t\t\tb.push($tw.utils.htmlEncode(node.textContent));\n\t\t\t\t}\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.isRaw = true;\n\t\tthis.rawHTML = value;\n\t\tthis.rawTextContent = null;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textInnerHTML\", {\n\tset: function(value) {\n\t\tif(this.isRaw) {\n\t\t\tthis.rawTextContent = value;\n\t\t} else {\n\t\t\tthrow \"Cannot set textInnerHTML of a non-raw TW_Element\";\n\t\t}\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\tif(this.rawTextContent === null) {\n\t\t\t\treturn \"\";\n\t\t\t} else {\n\t\t\t\treturn this.rawTextContent;\n\t\t\t}\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.textContent);\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.children = [new TW_TextNode(value)];\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn \"\";\n\t\t} else {\n\t\t\tvar b = [],\n\t\t\t\tisBlock = $tw.config.htmlBlockElements.indexOf(this.tag) !== -1;\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\tif(this.tag === \"li\") {\n\t\t\t\tb.push(\"* \");\n\t\t\t}\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.formattedTextContent);\n\t\t\t});\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\treturn b.join(\"\");\n\t\t}\n\t}\n});\n\nvar document = {\n\tsetSequenceNumber: function(value) {\n\t\tsequenceNumber = value;\n\t},\n\tcreateElementNS: function(namespace,tag) {\n\t\treturn new TW_Element(tag,namespace);\n\t},\n\tcreateElement: function(tag) {\n\t\treturn new TW_Element(tag);\n\t},\n\tcreateTextNode: function(text) {\n\t\treturn new TW_TextNode(text);\n\t},\n\tcompatMode: \"CSS1Compat\", // For KaTeX to know that we're not a browser in quirks mode\n\tisTiddlyWikiFakeDom: true\n};\n\nexports.fakeDocument = document;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/utils/filesystem.js": {
            "title": "$:/core/modules/utils/filesystem.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/filesystem.js\ntype: application/javascript\nmodule-type: utils-node\n\nFile system utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\n/*\nRecursively (and synchronously) copy a directory and all its content\n*/\nexports.copyDirectory = function(srcPath,dstPath) {\n\t// Remove any trailing path separators\n\tsrcPath = $tw.utils.removeTrailingSeparator(srcPath);\n\tdstPath = $tw.utils.removeTrailingSeparator(dstPath);\n\t// Create the destination directory\n\tvar err = $tw.utils.createDirectory(dstPath);\n\tif(err) {\n\t\treturn err;\n\t}\n\t// Function to copy a folder full of files\n\tvar copy = function(srcPath,dstPath) {\n\t\tvar srcStats = fs.lstatSync(srcPath),\n\t\t\tdstExists = fs.existsSync(dstPath);\n\t\tif(srcStats.isFile()) {\n\t\t\t$tw.utils.copyFile(srcPath,dstPath);\n\t\t} else if(srcStats.isDirectory()) {\n\t\t\tvar items = fs.readdirSync(srcPath);\n\t\t\tfor(var t=0; t<items.length; t++) {\n\t\t\t\tvar item = items[t],\n\t\t\t\t\terr = copy(srcPath + path.sep + item,dstPath + path.sep + item);\n\t\t\t\tif(err) {\n\t\t\t\t\treturn err;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t};\n\tcopy(srcPath,dstPath);\n\treturn null;\n};\n\n/*\nCopy a file\n*/\nvar FILE_BUFFER_LENGTH = 64 * 1024,\n\tfileBuffer;\n\nexports.copyFile = function(srcPath,dstPath) {\n\t// Create buffer if required\n\tif(!fileBuffer) {\n\t\tfileBuffer = Buffer.alloc(FILE_BUFFER_LENGTH);\n\t}\n\t// Create any directories in the destination\n\t$tw.utils.createDirectory(path.dirname(dstPath));\n\t// Copy the file\n\tvar srcFile = fs.openSync(srcPath,\"r\"),\n\t\tdstFile = fs.openSync(dstPath,\"w\"),\n\t\tbytesRead = 1,\n\t\tpos = 0;\n\twhile (bytesRead > 0) {\n\t\tbytesRead = fs.readSync(srcFile,fileBuffer,0,FILE_BUFFER_LENGTH,pos);\n\t\tfs.writeSync(dstFile,fileBuffer,0,bytesRead);\n\t\tpos += bytesRead;\n\t}\n\tfs.closeSync(srcFile);\n\tfs.closeSync(dstFile);\n\treturn null;\n};\n\n/*\nRemove trailing path separator\n*/\nexports.removeTrailingSeparator = function(dirPath) {\n\tvar len = dirPath.length;\n\tif(dirPath.charAt(len-1) === path.sep) {\n\t\tdirPath = dirPath.substr(0,len-1);\n\t}\n\treturn dirPath;\n};\n\n/*\nRecursively create a directory\n*/\nexports.createDirectory = function(dirPath) {\n\tif(dirPath.substr(dirPath.length-1,1) !== path.sep) {\n\t\tdirPath = dirPath + path.sep;\n\t}\n\tvar pos = 1;\n\tpos = dirPath.indexOf(path.sep,pos);\n\twhile(pos !== -1) {\n\t\tvar subDirPath = dirPath.substr(0,pos);\n\t\tif(!$tw.utils.isDirectory(subDirPath)) {\n\t\t\ttry {\n\t\t\t\tfs.mkdirSync(subDirPath);\n\t\t\t} catch(e) {\n\t\t\t\treturn \"Error creating directory '\" + subDirPath + \"'\";\n\t\t\t}\n\t\t}\n\t\tpos = dirPath.indexOf(path.sep,pos + 1);\n\t}\n\treturn null;\n};\n\n/*\nRecursively create directories needed to contain a specified file\n*/\nexports.createFileDirectories = function(filePath) {\n\treturn $tw.utils.createDirectory(path.dirname(filePath));\n};\n\n/*\nRecursively delete a directory\n*/\nexports.deleteDirectory = function(dirPath) {\n\tif(fs.existsSync(dirPath)) {\n\t\tvar entries = fs.readdirSync(dirPath);\n\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\tvar currPath = dirPath + path.sep + entries[entryIndex];\n\t\t\tif(fs.lstatSync(currPath).isDirectory()) {\n\t\t\t\t$tw.utils.deleteDirectory(currPath);\n\t\t\t} else {\n\t\t\t\tfs.unlinkSync(currPath);\n\t\t\t}\n\t\t}\n\tfs.rmdirSync(dirPath);\n\t}\n\treturn null;\n};\n\n/*\nCheck if a path identifies a directory\n*/\nexports.isDirectory = function(dirPath) {\n\treturn fs.existsSync(dirPath) && fs.statSync(dirPath).isDirectory();\n};\n\n/*\nCheck if a path identifies a directory that is empty\n*/\nexports.isDirectoryEmpty = function(dirPath) {\n\tif(!$tw.utils.isDirectory(dirPath)) {\n\t\treturn false;\n\t}\n\tvar files = fs.readdirSync(dirPath),\n\t\tempty = true;\n\t$tw.utils.each(files,function(file,index) {\n\t\tif(file.charAt(0) !== \".\") {\n\t\t\tempty = false;\n\t\t}\n\t});\n\treturn empty;\n};\n\n/*\nRecursively delete a tree of empty directories\n*/\nexports.deleteEmptyDirs = function(dirpath,callback) {\n\tvar self = this;\n\tfs.readdir(dirpath,function(err,files) {\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\tif(files.length > 0) {\n\t\t\treturn callback(null);\n\t\t}\n\t\tfs.rmdir(dirpath,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.deleteEmptyDirs(path.dirname(dirpath),callback);\n\t\t});\n\t});\n};\n\n/*\nCreate a fileInfo object for saving a tiddler:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\nOptions include:\n\tdirectory: absolute path of root directory to which we are saving\n\tpathFilters: optional array of filters to be used to generate the base path\n\twiki: optional wiki for evaluating the pathFilters\n*/\nexports.generateTiddlerFileInfo = function(tiddler,options) {\n\tvar fileInfo = {};\n\t// Check if the tiddler has any unsafe fields that can't be expressed in a .tid or .meta file: containing control characters, or leading/trailing whitespace\n\tvar hasUnsafeFields = false;\n\t$tw.utils.each(tiddler.getFieldStrings(),function(value,fieldName) {\n\t\tif(fieldName !== \"text\") {\n\t\t\thasUnsafeFields = hasUnsafeFields || /[\\x00-\\x1F]/mg.test(value);\n\t\t\thasUnsafeFields = hasUnsafeFields || ($tw.utils.trim(value) !== value);\n\t\t}\n\t});\n\t// Check for field values \n\tif(hasUnsafeFields) {\n\t\t// Save as a JSON file\n\t\tfileInfo.type = \"application/json\";\n\t\tfileInfo.hasMetaFile = false;\n\t} else {\n\t\t// Save as a .tid or a text/binary file plus a .meta file\n\t\tvar tiddlerType = tiddler.fields.type || \"text/vnd.tiddlywiki\";\n\t\tif(tiddlerType === \"text/vnd.tiddlywiki\") {\n\t\t\t// Save as a .tid file\n\t\t\tfileInfo.type = \"application/x-tiddler\";\n\t\t\tfileInfo.hasMetaFile = false;\n\t\t} else {\n\t\t\t// Save as a text/binary file and a .meta file\n\t\t\tfileInfo.type = tiddlerType;\n\t\t\tfileInfo.hasMetaFile = true;\n\t\t}\n\t}\n\t// Take the file extension from the tiddler content type\n\tvar contentTypeInfo = $tw.config.contentTypeInfo[fileInfo.type] || {extension: \"\"};\n\t// Generate the filepath\n\tfileInfo.filepath = $tw.utils.generateTiddlerFilepath(tiddler.fields.title,{\n\t\textension: contentTypeInfo.extension,\n\t\tdirectory: options.directory,\n\t\tpathFilters: options.pathFilters,\n\t\twiki: options.wiki\n\t});\n\treturn fileInfo;\n};\n\n/*\nGenerate the filepath for saving a tiddler\nOptions include:\n\textension: file extension to be added the finished filepath\n\tdirectory: absolute path of root directory to which we are saving\n\tpathFilters: optional array of filters to be used to generate the base path\n\twiki: optional wiki for evaluating the pathFilters\n*/\nexports.generateTiddlerFilepath = function(title,options) {\n\tvar self = this,\n\t\tdirectory = options.directory || \"\",\n\t\textension = options.extension || \"\",\n\t\tfilepath;\n\t// Check if any of the pathFilters applies\n\tif(options.pathFilters && options.wiki) {\n\t\t$tw.utils.each(options.pathFilters,function(filter) {\n\t\t\tif(!filepath) {\n\t\t\t\tvar source = options.wiki.makeTiddlerIterator([title]),\n\t\t\t\t\tresult = options.wiki.filterTiddlers(filter,null,source);\n\t\t\t\tif(result.length > 0) {\n\t\t\t\t\tfilepath = result[0];\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\t// If not, generate a base pathname\n\tif(!filepath) {\n\t\tfilepath = title;\n\t\t// If the filepath already ends in the extension then remove it\n\t\tif(filepath.substring(filepath.length - extension.length) === extension) {\n\t\t\tfilepath = filepath.substring(0,filepath.length - extension.length);\n\t\t}\n\t\t// Remove any forward or backward slashes so we don't create directories\n\t\tfilepath = filepath.replace(/\\/|\\\\/g,\"_\");\n\t}\n\t// Don't let the filename start with a dot because such files are invisible on *nix\n\tfilepath = filepath.replace(/^\\./g,\"_\");\n\t// Remove any characters that can't be used in cross-platform filenames\n\tfilepath = $tw.utils.transliterate(filepath.replace(/<|>|\\:|\\\"|\\||\\?|\\*|\\^/g,\"_\"));\n\t// Truncate the filename if it is too long\n\tif(filepath.length > 200) {\n\t\tfilepath = filepath.substr(0,200);\n\t}\n\t// If the resulting filename is blank (eg because the title is just punctuation characters)\n\tif(!filepath) {\n\t\t// ...then just use the character codes of the title\n\t\tfilepath = \"\";\t\n\t\t$tw.utils.each(title.split(\"\"),function(char) {\n\t\t\tif(filepath) {\n\t\t\t\tfilepath += \"-\";\n\t\t\t}\n\t\t\tfilepath += char.charCodeAt(0).toString();\n\t\t});\n\t}\n\t// Add a uniquifier if the file already exists\n\tvar fullPath,\n\t\tcount = 0;\n\tdo {\n\t\tfullPath = path.resolve(directory,filepath + (count ? \"_\" + count : \"\") + extension);\n\t\tcount++;\n\t} while(fs.existsSync(fullPath));\n\t// Return the full path to the file\n\treturn fullPath;\n};\n\n/*\nSave a tiddler to a file described by the fileInfo:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n*/\nexports.saveTiddlerToFile = function(tiddler,fileInfo,callback) {\n\t$tw.utils.createDirectory(path.dirname(fileInfo.filepath));\n\tif(fileInfo.hasMetaFile) {\n\t\t// Save the tiddler as a separate body and meta file\n\t\tvar typeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/plain\"] || {encoding: \"utf8\"};\n\t\tfs.writeFile(fileInfo.filepath,tiddler.fields.text,typeInfo.encoding,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tfs.writeFile(fileInfo.filepath + \".meta\",tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}),\"utf8\",callback);\n\t\t});\n\t} else {\n\t\t// Save the tiddler as a self contained templated file\n\t\tif(fileInfo.type === \"application/x-tiddler\") {\n\t\t\tfs.writeFile(fileInfo.filepath,tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}) + (!!tiddler.fields.text ? \"\\n\\n\" + tiddler.fields.text : \"\"),\"utf8\",callback);\n\t\t} else {\n\t\t\tfs.writeFile(fileInfo.filepath,JSON.stringify([tiddler.getFieldStrings({exclude: [\"bag\"]})],null,$tw.config.preferences.jsonSpaces),\"utf8\",callback);\n\t\t}\n\t}\n};\n\n/*\nSave a tiddler to a file described by the fileInfo:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n*/\nexports.saveTiddlerToFileSync = function(tiddler,fileInfo) {\n\t$tw.utils.createDirectory(path.dirname(fileInfo.filepath));\n\tif(fileInfo.hasMetaFile) {\n\t\t// Save the tiddler as a separate body and meta file\n\t\tvar typeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/plain\"] || {encoding: \"utf8\"};\n\t\tfs.writeFileSync(fileInfo.filepath,tiddler.fields.text,typeInfo.encoding);\n\t\tfs.writeFileSync(fileInfo.filepath + \".meta\",tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}),\"utf8\");\n\t} else {\n\t\t// Save the tiddler as a self contained templated file\n\t\tif(fileInfo.type === \"application/x-tiddler\") {\n\t\t\tfs.writeFileSync(fileInfo.filepath,tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}) + (!!tiddler.fields.text ? \"\\n\\n\" + tiddler.fields.text : \"\"),\"utf8\");\n\t\t} else {\n\t\t\tfs.writeFileSync(fileInfo.filepath,JSON.stringify([tiddler.getFieldStrings({exclude: [\"bag\"]})],null,$tw.config.preferences.jsonSpaces),\"utf8\");\n\t\t}\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils-node"
        },
        "$:/core/modules/utils/logger.js": {
            "title": "$:/core/modules/utils/logger.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/logger.js\ntype: application/javascript\nmodule-type: utils\n\nA basic logging implementation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ALERT_TAG = \"$:/tags/Alert\";\n\n/*\nMake a new logger\n*/\nfunction Logger(componentName,options) {\n\toptions = options || {};\n\tthis.componentName = componentName || \"\";\n\tthis.colour = options.colour || \"white\";\n\tthis.enable = \"enable\" in options ? options.enable : true;\n\tthis.save = \"save\" in options ? options.save : true;\n\tthis.saveLimit = options.saveLimit || 100 * 1024;\n\tthis.saveBufferLogger = this;\n\tthis.buffer = \"\";\n\tthis.alertCount = 0;\n}\n\nLogger.prototype.setSaveBuffer = function(logger) {\n\tthis.saveBufferLogger = logger;\n};\n\n/*\nLog a message\n*/\nLogger.prototype.log = function(/* args */) {\n\tvar self = this;\n\tif(this.enable) {\n\t\tif(this.saveBufferLogger.save) {\n\t\t\tthis.saveBufferLogger.buffer += $tw.utils.formatDateString(new Date(),\"YYYY MM DD 0hh:0mm:0ss.0XXX\") + \":\";\n\t\t\t$tw.utils.each(Array.prototype.slice.call(arguments,0),function(arg,index) {\n\t\t\t\tself.saveBufferLogger.buffer += \" \" + arg;\n\t\t\t});\n\t\t\tthis.saveBufferLogger.buffer += \"\\n\";\n\t\t\tthis.saveBufferLogger.buffer = this.saveBufferLogger.buffer.slice(-this.saveBufferLogger.saveLimit);\t\t\t\n\t\t}\n\t\tif(console !== undefined && console.log !== undefined) {\n\t\t\treturn Function.apply.call(console.log, console, [$tw.utils.terminalColour(this.colour),this.componentName + \":\"].concat(Array.prototype.slice.call(arguments,0)).concat($tw.utils.terminalColour()));\n\t\t}\n\t} \n};\n\n/*\nRead the message buffer\n*/\nLogger.prototype.getBuffer = function() {\n\treturn this.saveBufferLogger.buffer;\n};\n\n/*\nLog a structure as a table\n*/\nLogger.prototype.table = function(value) {\n\t(console.table || console.log)(value);\n};\n\n/*\nAlert a message\n*/\nLogger.prototype.alert = function(/* args */) {\n\tif(this.enable) {\n\t\t// Prepare the text of the alert\n\t\tvar text = Array.prototype.join.call(arguments,\" \");\n\t\t// Create alert tiddlers in the browser\n\t\tif($tw.browser) {\n\t\t\t// Check if there is an existing alert with the same text and the same component\n\t\t\tvar existingAlerts = $tw.wiki.getTiddlersWithTag(ALERT_TAG),\n\t\t\t\talertFields,\n\t\t\t\texistingCount,\n\t\t\t\tself = this;\n\t\t\t$tw.utils.each(existingAlerts,function(title) {\n\t\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\t\tif(tiddler.fields.text === text && tiddler.fields.component === self.componentName && tiddler.fields.modified && (!alertFields || tiddler.fields.modified < alertFields.modified)) {\n\t\t\t\t\t\talertFields = $tw.utils.extend({},tiddler.fields);\n\t\t\t\t}\n\t\t\t});\n\t\t\tif(alertFields) {\n\t\t\t\texistingCount = alertFields.count || 1;\n\t\t\t} else {\n\t\t\t\talertFields = {\n\t\t\t\t\ttitle: $tw.wiki.generateNewTitle(\"$:/temp/alerts/alert\",{prefix: \"\"}),\n\t\t\t\t\ttext: text,\n\t\t\t\t\ttags: [ALERT_TAG],\n\t\t\t\t\tcomponent: this.componentName\n\t\t\t\t};\n\t\t\t\texistingCount = 0;\n\t\t\t\tthis.alertCount += 1;\n\t\t\t}\n\t\t\talertFields.modified = new Date();\n\t\t\tif(++existingCount > 1) {\n\t\t\t\talertFields.count = existingCount;\n\t\t\t} else {\n\t\t\t\talertFields.count = undefined;\n\t\t\t}\n\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(alertFields));\n\t\t\t// Log the alert as well\n\t\t\tthis.log.apply(this,Array.prototype.slice.call(arguments,0));\n\t\t} else {\n\t\t\t// Print an orange message to the console if not in the browser\n\t\t\tconsole.error(\"\\x1b[1;33m\" + text + \"\\x1b[0m\");\n\t\t}\t\t\n\t}\n};\n\n/*\nClear outstanding alerts\n*/\nLogger.prototype.clearAlerts = function() {\n\tvar self = this;\n\tif($tw.browser && this.alertCount > 0) {\n\t\t$tw.utils.each($tw.wiki.getTiddlersWithTag(ALERT_TAG),function(title) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(tiddler.fields.component === self.componentName) {\n\t\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t\t}\n\t\t});\n\t\tthis.alertCount = 0;\n\t}\n};\n\nexports.Logger = Logger;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/parsetree.js": {
            "title": "$:/core/modules/utils/parsetree.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/parsetree.js\ntype: application/javascript\nmodule-type: utils\n\nParse tree utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.addAttributeToParseTreeNode = function(node,name,value) {\n\tnode.attributes = node.attributes || {};\n\tnode.attributes[name] = {type: \"string\", value: value};\n};\n\nexports.getAttributeValueFromParseTreeNode = function(node,name,defaultValue) {\n\tif(node.attributes && node.attributes[name] && node.attributes[name].value !== undefined) {\n\t\treturn node.attributes[name].value;\n\t}\n\treturn defaultValue;\n};\n\nexports.addClassToParseTreeNode = function(node,classString) {\n\tvar classes = [];\n\tnode.attributes = node.attributes || {};\n\tnode.attributes[\"class\"] = node.attributes[\"class\"] || {type: \"string\", value: \"\"};\n\tif(node.attributes[\"class\"].type === \"string\") {\n\t\tif(node.attributes[\"class\"].value !== \"\") {\n\t\t\tclasses = node.attributes[\"class\"].value.split(\" \");\n\t\t}\n\t\tif(classString !== \"\") {\n\t\t\t$tw.utils.pushTop(classes,classString.split(\" \"));\n\t\t}\n\t\tnode.attributes[\"class\"].value = classes.join(\" \");\n\t}\n};\n\nexports.addStyleToParseTreeNode = function(node,name,value) {\n\t\tnode.attributes = node.attributes || {};\n\t\tnode.attributes.style = node.attributes.style || {type: \"string\", value: \"\"};\n\t\tif(node.attributes.style.type === \"string\") {\n\t\t\tnode.attributes.style.value += name + \":\" + value + \";\";\n\t\t}\n};\n\nexports.findParseTreeNode = function(nodeArray,search) {\n\tfor(var t=0; t<nodeArray.length; t++) {\n\t\tif(nodeArray[t].type === search.type && nodeArray[t].tag === search.tag) {\n\t\t\treturn nodeArray[t];\n\t\t}\n\t}\n\treturn undefined;\n};\n\n/*\nHelper to get the text of a parse tree node or array of nodes\n*/\nexports.getParseTreeText = function getParseTreeText(tree) {\n\tvar output = [];\n\tif($tw.utils.isArray(tree)) {\n\t\t$tw.utils.each(tree,function(node) {\n\t\t\toutput.push(getParseTreeText(node));\n\t\t});\n\t} else {\n\t\tif(tree.type === \"text\") {\n\t\t\toutput.push(tree.text);\n\t\t}\n\t\tif(tree.children) {\n\t\t\treturn getParseTreeText(tree.children);\n\t\t}\n\t}\n\treturn output.join(\"\");\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/performance.js": {
            "title": "$:/core/modules/utils/performance.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/performance.js\ntype: application/javascript\nmodule-type: global\n\nPerformance measurement.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Performance(enabled) {\n\tthis.enabled = !!enabled;\n\tthis.measures = {}; // Hashmap by measurement name of {time:, invocations:}\n\tthis.logger = new $tw.utils.Logger(\"performance\");\n\tthis.showGreeting();\n}\n\nPerformance.prototype.showGreeting = function() {\n\tif($tw.browser) {\n\t\tthis.logger.log(\"Execute $tw.perf.log(); to see filter execution timings\");\t\t\n\t}\n};\n\n/*\nWrap performance reporting around a top level function\n*/\nPerformance.prototype.report = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments);\n\t\t\tself.logger.log(name + \": \" + $tw.utils.timer(startTime).toFixed(2) + \"ms\");\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\nPerformance.prototype.log = function() {\n\tvar self = this,\n\t\ttotalTime = 0,\n\t\torderedMeasures = Object.keys(this.measures).sort(function(a,b) {\n\t\t\tif(self.measures[a].time > self.measures[b].time) {\n\t\t\t\treturn -1;\n\t\t\t} else if (self.measures[a].time < self.measures[b].time) {\n\t\t\t\treturn + 1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t});\n\t$tw.utils.each(orderedMeasures,function(name) {\n\t\ttotalTime += self.measures[name].time;\n\t});\n\tvar results = []\n\t$tw.utils.each(orderedMeasures,function(name) {\n\t\tvar measure = self.measures[name];\n\t\tresults.push({name: name,invocations: measure.invocations, avgTime: measure.time / measure.invocations, totalTime: measure.time, percentTime: (measure.time / totalTime) * 100})\n\t});\n\tself.logger.table(results);\n};\n\n/*\nWrap performance measurements around a subfunction\n*/\nPerformance.prototype.measure = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments);\n\t\t\tif(!(name in self.measures)) {\n\t\t\t\tself.measures[name] = {time: 0, invocations: 0};\n\t\t\t}\n\t\t\tself.measures[name].time += $tw.utils.timer(startTime);\n\t\t\tself.measures[name].invocations++;\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\nexports.Performance = Performance;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/utils/pluginmaker.js": {
            "title": "$:/core/modules/utils/pluginmaker.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/pluginmaker.js\ntype: application/javascript\nmodule-type: utils\n\nA quick and dirty way to pack up plugins within the browser.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRepack a plugin, and then delete any non-shadow payload tiddlers\n*/\nexports.repackPlugin = function(title,additionalTiddlers,excludeTiddlers) {\n\tadditionalTiddlers = additionalTiddlers || [];\n\texcludeTiddlers = excludeTiddlers || [];\n\t// Get the plugin tiddler\n\tvar pluginTiddler = $tw.wiki.getTiddler(title);\n\tif(!pluginTiddler) {\n\t\tthrow \"No such tiddler as \" + title;\n\t}\n\t// Extract the JSON\n\tvar jsonPluginTiddler;\n\ttry {\n\t\tjsonPluginTiddler = JSON.parse(pluginTiddler.fields.text);\n\t} catch(e) {\n\t\tthrow \"Cannot parse plugin tiddler \" + title + \"\\n\" + $tw.language.getString(\"Error/Caption\") + \": \" + e;\n\t}\n\t// Get the list of tiddlers\n\tvar tiddlers = Object.keys(jsonPluginTiddler.tiddlers);\n\t// Add the additional tiddlers\n\t$tw.utils.pushTop(tiddlers,additionalTiddlers);\n\t// Remove any excluded tiddlers\n\tfor(var t=tiddlers.length-1; t>=0; t--) {\n\t\tif(excludeTiddlers.indexOf(tiddlers[t]) !== -1) {\n\t\t\ttiddlers.splice(t,1);\n\t\t}\n\t}\n\t// Pack up the tiddlers into a block of JSON\n\tvar plugins = {};\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = $tw.wiki.getTiddler(title),\n\t\t\tfields = {};\n\t\t$tw.utils.each(tiddler.fields,function (value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\tplugins[title] = fields;\n\t});\n\t// Retrieve and bump the version number\n\tvar pluginVersion = $tw.utils.parseVersion(pluginTiddler.getFieldString(\"version\") || \"0.0.0\") || {\n\t\t\tmajor: \"0\",\n\t\t\tminor: \"0\",\n\t\t\tpatch: \"0\"\n\t\t};\n\tpluginVersion.patch++;\n\tvar version = pluginVersion.major + \".\" + pluginVersion.minor + \".\" + pluginVersion.patch;\n\tif(pluginVersion.prerelease) {\n\t\tversion += \"-\" + pluginVersion.prerelease;\n\t}\n\tif(pluginVersion.build) {\n\t\tversion += \"+\" + pluginVersion.build;\n\t}\n\t// Save the tiddler\n\t$tw.wiki.addTiddler(new $tw.Tiddler(pluginTiddler,{text: JSON.stringify({tiddlers: plugins},null,4), version: version}));\n\t// Delete any non-shadow constituent tiddlers\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tif($tw.wiki.tiddlerExists(title)) {\n\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t}\n\t});\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t// Return a heartwarming confirmation\n\treturn \"Plugin \" + title + \" successfully saved\";\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/transliterate.js": {
            "title": "$:/core/modules/utils/transliterate.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/transliterate.js\ntype: application/javascript\nmodule-type: utils\n\nTransliteration static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nTransliterate string to ASCII\n\n(Some pairs taken from http://semplicewebsites.com/removing-accents-javascript)\n*/\nexports.transliterationPairs = 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:\"o\",\n\t\"ṓ\":\"o\",\n\t\"ṑ\":\"o\",\n\t\"ǫ\":\"o\",\n\t\"ǭ\":\"o\",\n\t\"ø\":\"o\",\n\t\"ǿ\":\"o\",\n\t\"õ\":\"o\",\n\t\"ṍ\":\"o\",\n\t\"ṏ\":\"o\",\n\t\"ȭ\":\"o\",\n\t\"ƣ\":\"oi\",\n\t\"ꝏ\":\"oo\",\n\t\"ɛ\":\"e\",\n\t\"ᶓ\":\"e\",\n\t\"ɔ\":\"o\",\n\t\"ᶗ\":\"o\",\n\t\"ȣ\":\"ou\",\n\t\"ṕ\":\"p\",\n\t\"ṗ\":\"p\",\n\t\"ꝓ\":\"p\",\n\t\"ƥ\":\"p\",\n\t\"ᵱ\":\"p\",\n\t\"ᶈ\":\"p\",\n\t\"ꝕ\":\"p\",\n\t\"ᵽ\":\"p\",\n\t\"ꝑ\":\"p\",\n\t\"ꝙ\":\"q\",\n\t\"ʠ\":\"q\",\n\t\"ɋ\":\"q\",\n\t\"ꝗ\":\"q\",\n\t\"ŕ\":\"r\",\n\t\"ř\":\"r\",\n\t\"ŗ\":\"r\",\n\t\"ṙ\":\"r\",\n\t\"ṛ\":\"r\",\n\t\"ṝ\":\"r\",\n\t\"ȑ\":\"r\",\n\t\"ɾ\":\"r\",\n\t\"ᵳ\":\"r\",\n\t\"ȓ\":\"r\",\n\t\"ṟ\":\"r\",\n\t\"ɼ\":\"r\",\n\t\"ᵲ\":\"r\",\n\t\"ᶉ\":\"r\",\n\t\"ɍ\":\"r\",\n\t\"ɽ\":\"r\",\n\t\"ↄ\":\"c\",\n\t\"ꜿ\":\"c\",\n\t\"ɘ\":\"e\",\n\t\"ɿ\":\"r\",\n\t\"ś\":\"s\",\n\t\"ṥ\":\"s\",\n\t\"š\":\"s\",\n\t\"ṧ\":\"s\",\n\t\"ş\":\"s\",\n\t\"ŝ\":\"s\",\n\t\"ș\":\"s\",\n\t\"ṡ\":\"s\",\n\t\"ṣ\":\"s\",\n\t\"ṩ\":\"s\",\n\t\"ʂ\":\"s\",\n\t\"ᵴ\":\"s\",\n\t\"ᶊ\":\"s\",\n\t\"ȿ\":\"s\",\n\t\"ɡ\":\"g\",\n\t\"ᴑ\":\"o\",\n\t\"ᴓ\":\"o\",\n\t\"ᴝ\":\"u\",\n\t\"ť\":\"t\",\n\t\"ţ\":\"t\",\n\t\"ṱ\":\"t\",\n\t\"ț\":\"t\",\n\t\"ȶ\":\"t\",\n\t\"ẗ\":\"t\",\n\t\"ⱦ\":\"t\",\n\t\"ṫ\":\"t\",\n\t\"ṭ\":\"t\",\n\t\"ƭ\":\"t\",\n\t\"ṯ\":\"t\",\n\t\"ᵵ\":\"t\",\n\t\"ƫ\":\"t\",\n\t\"ʈ\":\"t\",\n\t\"ŧ\":\"t\",\n\t\"ᵺ\":\"th\",\n\t\"ɐ\":\"a\",\n\t\"ᴂ\":\"ae\",\n\t\"ǝ\":\"e\",\n\t\"ᵷ\":\"g\",\n\t\"ɥ\":\"h\",\n\t\"ʮ\":\"h\",\n\t\"ʯ\":\"h\",\n\t\"ᴉ\":\"i\",\n\t\"ʞ\":\"k\",\n\t\"ꞁ\":\"l\",\n\t\"ɯ\":\"m\",\n\t\"ɰ\":\"m\",\n\t\"ᴔ\":\"oe\",\n\t\"ɹ\":\"r\",\n\t\"ɻ\":\"r\",\n\t\"ɺ\":\"r\",\n\t\"ⱹ\":\"r\",\n\t\"ʇ\":\"t\",\n\t\"ʌ\":\"v\",\n\t\"ʍ\":\"w\",\n\t\"ʎ\":\"y\",\n\t\"ꜩ\":\"tz\",\n\t\"ú\":\"u\",\n\t\"ŭ\":\"u\",\n\t\"ǔ\":\"u\",\n\t\"û\":\"u\",\n\t\"ṷ\":\"u\",\n\t\"ü\":\"u\",\n\t\"ǘ\":\"u\",\n\t\"ǚ\":\"u\",\n\t\"ǜ\":\"u\",\n\t\"ǖ\":\"u\",\n\t\"ṳ\":\"u\",\n\t\"ụ\":\"u\",\n\t\"ű\":\"u\",\n\t\"ȕ\":\"u\",\n\t\"ù\":\"u\",\n\t\"ủ\":\"u\",\n\t\"ư\":\"u\",\n\t\"ứ\":\"u\",\n\t\"ự\":\"u\",\n\t\"ừ\":\"u\",\n\t\"ử\":\"u\",\n\t\"ữ\":\"u\",\n\t\"ȗ\":\"u\",\n\t\"ū\":\"u\",\n\t\"ṻ\":\"u\",\n\t\"ų\":\"u\",\n\t\"ᶙ\":\"u\",\n\t\"ů\":\"u\",\n\t\"ũ\":\"u\",\n\t\"ṹ\":\"u\",\n\t\"ṵ\":\"u\",\n\t\"ᵫ\":\"ue\",\n\t\"ꝸ\":\"um\",\n\t\"ⱴ\":\"v\",\n\t\"ꝟ\":\"v\",\n\t\"ṿ\":\"v\",\n\t\"ʋ\":\"v\",\n\t\"ᶌ\":\"v\",\n\t\"ⱱ\":\"v\",\n\t\"ṽ\":\"v\",\n\t\"ꝡ\":\"vy\",\n\t\"ẃ\":\"w\",\n\t\"ŵ\":\"w\",\n\t\"ẅ\":\"w\",\n\t\"ẇ\":\"w\",\n\t\"ẉ\":\"w\",\n\t\"ẁ\":\"w\",\n\t\"ⱳ\":\"w\",\n\t\"ẘ\":\"w\",\n\t\"ẍ\":\"x\",\n\t\"ẋ\":\"x\",\n\t\"ᶍ\":\"x\",\n\t\"ý\":\"y\",\n\t\"ŷ\":\"y\",\n\t\"ÿ\":\"y\",\n\t\"ẏ\":\"y\",\n\t\"ỵ\":\"y\",\n\t\"ỳ\":\"y\",\n\t\"ƴ\":\"y\",\n\t\"ỷ\":\"y\",\n\t\"ỿ\":\"y\",\n\t\"ȳ\":\"y\",\n\t\"ẙ\":\"y\",\n\t\"ɏ\":\"y\",\n\t\"ỹ\":\"y\",\n\t\"ź\":\"z\",\n\t\"ž\":\"z\",\n\t\"ẑ\":\"z\",\n\t\"ʑ\":\"z\",\n\t\"ⱬ\":\"z\",\n\t\"ż\":\"z\",\n\t\"ẓ\":\"z\",\n\t\"ȥ\":\"z\",\n\t\"ẕ\":\"z\",\n\t\"ᵶ\":\"z\",\n\t\"ᶎ\":\"z\",\n\t\"ʐ\":\"z\",\n\t\"ƶ\":\"z\",\n\t\"ɀ\":\"z\",\n\t\"ff\":\"ff\",\n\t\"ffi\":\"ffi\",\n\t\"ffl\":\"ffl\",\n\t\"fi\":\"fi\",\n\t\"fl\":\"fl\",\n\t\"ij\":\"ij\",\n\t\"œ\":\"oe\",\n\t\"st\":\"st\",\n\t\"ₐ\":\"a\",\n\t\"ₑ\":\"e\",\n\t\"ᵢ\":\"i\",\n\t\"ⱼ\":\"j\",\n\t\"ₒ\":\"o\",\n\t\"ᵣ\":\"r\",\n\t\"ᵤ\":\"u\",\n\t\"ᵥ\":\"v\",\n\t\"ₓ\":\"x\",\n\t\"Ё\":\"YO\",\n\t\"Й\":\"I\",\n\t\"Ц\":\"TS\",\n\t\"У\":\"U\",\n\t\"К\":\"K\",\n\t\"Е\":\"E\",\n\t\"Н\":\"N\",\n\t\"Г\":\"G\",\n\t\"Ш\":\"SH\",\n\t\"Щ\":\"SCH\",\n\t\"З\":\"Z\",\n\t\"Х\":\"H\",\n\t\"Ъ\":\"'\",\n\t\"ё\":\"yo\",\n\t\"й\":\"i\",\n\t\"ц\":\"ts\",\n\t\"у\":\"u\",\n\t\"к\":\"k\",\n\t\"е\":\"e\",\n\t\"н\":\"n\",\n\t\"г\":\"g\",\n\t\"ш\":\"sh\",\n\t\"щ\":\"sch\",\n\t\"з\":\"z\",\n\t\"х\":\"h\",\n\t\"ъ\":\"'\",\n\t\"Ф\":\"F\",\n\t\"Ы\":\"I\",\n\t\"В\":\"V\",\n\t\"А\":\"a\",\n\t\"П\":\"P\",\n\t\"Р\":\"R\",\n\t\"О\":\"O\",\n\t\"Л\":\"L\",\n\t\"Д\":\"D\",\n\t\"Ж\":\"ZH\",\n\t\"Э\":\"E\",\n\t\"ф\":\"f\",\n\t\"ы\":\"i\",\n\t\"в\":\"v\",\n\t\"а\":\"a\",\n\t\"п\":\"p\",\n\t\"р\":\"r\",\n\t\"о\":\"o\",\n\t\"л\":\"l\",\n\t\"д\":\"d\",\n\t\"ж\":\"zh\",\n\t\"э\":\"e\",\n\t\"Я\":\"Ya\",\n\t\"Ч\":\"CH\",\n\t\"С\":\"S\",\n\t\"М\":\"M\",\n\t\"И\":\"I\",\n\t\"Т\":\"T\",\n\t\"Ь\":\"'\",\n\t\"Б\":\"B\",\n\t\"Ю\":\"YU\",\n\t\"я\":\"ya\",\n\t\"ч\":\"ch\",\n\t\"с\":\"s\",\n\t\"м\":\"m\",\n\t\"и\":\"i\",\n\t\"т\":\"t\",\n\t\"ь\":\"'\",\n\t\"б\":\"b\",\n\t\"ю\":\"yu\"\n};\n\nexports.transliterate = function(str) {\n\treturn str.replace(/[^A-Za-z0-9\\[\\] ]/g,function(ch) {\n\t\treturn exports.transliterationPairs[ch] || ch\n\t});\n};\n\nexports.transliterateToSafeASCII = function(str) {\n\treturn str.replace(/[^\\x00-\\x7F]/g,function(ch) {\n\t\treturn exports.transliterationPairs[ch] || \"\"\n\t});\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/utils.js": {
            "title": "$:/core/modules/utils/utils.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/utils.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar base64utf8 = require(\"$:/core/modules/utils/base64-utf8/base64-utf8.module.js\");\n\n/*\nDisplay a message, in colour if we're on a terminal\n*/\nexports.log = function(text,colour) {\n\tconsole.log($tw.node ? exports.terminalColour(colour) + text + exports.terminalColour() : text);\n};\n\nexports.terminalColour = function(colour) {\n\tif(!$tw.browser && $tw.node && process.stdout.isTTY) {\n\t\tif(colour) {\n\t\t\tvar code = exports.terminalColourLookup[colour];\n\t\t\tif(code) {\n\t\t\t\treturn \"\\x1b[\" + code + \"m\";\n\t\t\t}\n\t\t} else {\n\t\t\treturn \"\\x1b[0m\"; // Cancel colour\n\t\t}\n\t}\n\treturn \"\";\n};\n\nexports.terminalColourLookup = {\n\t\"black\": \"0;30\",\n\t\"red\": \"0;31\",\n\t\"green\": \"0;32\",\n\t\"brown/orange\": \"0;33\",\n\t\"blue\": \"0;34\",\n\t\"purple\": \"0;35\",\n\t\"cyan\": \"0;36\",\n\t\"light gray\": \"0;37\"\n};\n\n/*\nDisplay a warning, in colour if we're on a terminal\n*/\nexports.warning = function(text) {\n\texports.log(text,\"brown/orange\");\n};\n\n/*\nReturn the integer represented by the str (string).\nReturn the dflt (default) parameter if str is not a base-10 number.\n*/\nexports.getInt = function(str,deflt) {\n\tvar i = parseInt(str,10);\n\treturn isNaN(i) ? deflt : i;\n}\n\n/*\nRepeatedly replaces a substring within a string. Like String.prototype.replace, but without any of the default special handling of $ sequences in the replace string\n*/\nexports.replaceString = function(text,search,replace) {\n\treturn text.replace(search,function() {\n\t\treturn replace;\n\t});\n};\n\n/*\nRepeats a string\n*/\nexports.repeat = function(str,count) {\n\tvar result = \"\";\n\tfor(var t=0;t<count;t++) {\n\t\tresult += str;\n\t}\n\treturn result;\n};\n\n/*\nTrim whitespace from the start and end of a string\nThanks to Steven Levithan, http://blog.stevenlevithan.com/archives/faster-trim-javascript\n*/\nexports.trim = function(str) {\n\tif(typeof str === \"string\") {\n\t\treturn str.replace(/^\\s\\s*/, '').replace(/\\s\\s*$/, '');\n\t} else {\n\t\treturn str;\n\t}\n};\n\n/*\nConvert a string to sentence case (ie capitalise first letter)\n*/\nexports.toSentenceCase = function(str) {\n\treturn (str || \"\").replace(/^\\S/, function(c) {return c.toUpperCase();});\n}\n\n/*\nConvert a string to title case (ie capitalise each initial letter)\n*/\nexports.toTitleCase = function(str) {\n\treturn (str || \"\").replace(/(^|\\s)\\S/g, function(c) {return c.toUpperCase();});\n}\n\t\n/*\nFind the line break preceding a given position in a string\nReturns position immediately after that line break, or the start of the string\n*/\nexports.findPrecedingLineBreak = function(text,pos) {\n\tvar result = text.lastIndexOf(\"\\n\",pos - 1);\n\tif(result === -1) {\n\t\tresult = 0;\n\t} else {\n\t\tresult++;\n\t\tif(text.charAt(result) === \"\\r\") {\n\t\t\tresult++;\n\t\t}\n\t}\n\treturn result;\n};\n\n/*\nFind the line break following a given position in a string\n*/\nexports.findFollowingLineBreak = function(text,pos) {\n\t// Cut to just past the following line break, or to the end of the text\n\tvar result = text.indexOf(\"\\n\",pos);\n\tif(result === -1) {\n\t\tresult = text.length;\n\t} else {\n\t\tif(text.charAt(result) === \"\\r\") {\n\t\t\tresult++;\n\t\t}\n\t}\n\treturn result;\n};\n\n/*\nReturn the number of keys in an object\n*/\nexports.count = function(object) {\n\treturn Object.keys(object || {}).length;\n};\n\n/*\nDetermine whether an array-item is an object-property\n*/\nexports.hopArray = function(object,array) {\n\tfor(var i=0; i<array.length; i++) {\n\t\tif($tw.utils.hop(object,array[i])) {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nRemove entries from an array\n\tarray: array to modify\n\tvalue: a single value to remove, or an array of values to remove\n*/\nexports.removeArrayEntries = function(array,value) {\n\tvar t,p;\n\tif($tw.utils.isArray(value)) {\n\t\tfor(t=0; t<value.length; t++) {\n\t\t\tp = array.indexOf(value[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tarray.splice(p,1);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tp = array.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tarray.splice(p,1);\n\t\t}\n\t}\n};\n\n/*\nCheck whether any members of a hashmap are present in another hashmap\n*/\nexports.checkDependencies = function(dependencies,changes) {\n\tvar hit = false;\n\t$tw.utils.each(changes,function(change,title) {\n\t\tif($tw.utils.hop(dependencies,title)) {\n\t\t\thit = true;\n\t\t}\n\t});\n\treturn hit;\n};\n\nexports.extend = function(object /* [, src] */) {\n\t$tw.utils.each(Array.prototype.slice.call(arguments, 1), function(source) {\n\t\tif(source) {\n\t\t\tfor(var property in source) {\n\t\t\t\tobject[property] = source[property];\n\t\t\t}\n\t\t}\n\t});\n\treturn object;\n};\n\nexports.deepCopy = function(object) {\n\tvar result,t;\n\tif($tw.utils.isArray(object)) {\n\t\t// Copy arrays\n\t\tresult = object.slice(0);\n\t} else if(typeof object === \"object\") {\n\t\tresult = {};\n\t\tfor(t in object) {\n\t\t\tif(object[t] !== undefined) {\n\t\t\t\tresult[t] = $tw.utils.deepCopy(object[t]);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tresult = object;\n\t}\n\treturn result;\n};\n\nexports.extendDeepCopy = function(object,extendedProperties) {\n\tvar result = $tw.utils.deepCopy(object),t;\n\tfor(t in extendedProperties) {\n\t\tif(extendedProperties[t] !== undefined) {\n\t\t\tresult[t] = $tw.utils.deepCopy(extendedProperties[t]);\n\t\t}\n\t}\n\treturn result;\n};\n\nexports.deepFreeze = function deepFreeze(object) {\n\tvar property, key;\n\tif(object) {\n\t\tObject.freeze(object);\n\t\tfor(key in object) {\n\t\t\tproperty = object[key];\n\t\t\tif($tw.utils.hop(object,key) && (typeof property === \"object\") && !Object.isFrozen(property)) {\n\t\t\t\tdeepFreeze(property);\n\t\t\t}\n\t\t}\n\t}\n};\n\nexports.slowInSlowOut = function(t) {\n\treturn (1 - ((Math.cos(t * Math.PI) + 1) / 2));\n};\n\nexports.formatDateString = function(date,template) {\n\tvar result = \"\",\n\t\tt = template,\n\t\tmatches = [\n\t\t\t[/^0hh12/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getHours12(date));\n\t\t\t}],\n\t\t\t[/^wYYYY/, function() {\n\t\t\t\treturn $tw.utils.getYearForWeekNo(date);\n\t\t\t}],\n\t\t\t[/^hh12/, function() {\n\t\t\t\treturn $tw.utils.getHours12(date);\n\t\t\t}],\n\t\t\t[/^DDth/, function() {\n\t\t\t\treturn date.getDate() + $tw.utils.getDaySuffix(date);\n\t\t\t}],\n\t\t\t[/^YYYY/, function() {\n\t\t\t\treturn date.getFullYear();\n\t\t\t}],\n\t\t\t[/^0hh/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getHours());\n\t\t\t}],\n\t\t\t[/^0mm/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMinutes());\n\t\t\t}],\n\t\t\t[/^0ss/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getSeconds());\n\t\t\t}],\n\t\t\t[/^0XXX/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMilliseconds(),3);\n\t\t\t}],\n\t\t\t[/^0DD/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getDate());\n\t\t\t}],\n\t\t\t[/^0MM/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMonth()+1);\n\t\t\t}],\n\t\t\t[/^0WW/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getWeek(date));\n\t\t\t}],\n\t\t\t[/^ddd/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^mmm/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^DDD/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^MMM/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^TZD/, function() {\n\t\t\t\tvar tz = date.getTimezoneOffset(),\n\t\t\t\tatz = Math.abs(tz);\n\t\t\t\treturn (tz < 0 ? '+' : '-') + $tw.utils.pad(Math.floor(atz / 60)) + ':' + $tw.utils.pad(atz % 60);\n\t\t\t}],\n\t\t\t[/^wYY/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getYearForWeekNo(date) - 2000);\n\t\t\t}],\n\t\t\t[/^[ap]m/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toLowerCase();\n\t\t\t}],\n\t\t\t[/^hh/, function() {\n\t\t\t\treturn date.getHours();\n\t\t\t}],\n\t\t\t[/^mm/, function() {\n\t\t\t\treturn date.getMinutes();\n\t\t\t}],\n\t\t\t[/^ss/, function() {\n\t\t\t\treturn date.getSeconds();\n\t\t\t}],\n\t\t\t[/^XXX/, function() {\n\t\t\t\treturn date.getMilliseconds();\n\t\t\t}],\n\t\t\t[/^[AP]M/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toUpperCase();\n\t\t\t}],\n\t\t\t[/^DD/, function() {\n\t\t\t\treturn date.getDate();\n\t\t\t}],\n\t\t\t[/^MM/, function() {\n\t\t\t\treturn date.getMonth() + 1;\n\t\t\t}],\n\t\t\t[/^WW/, function() {\n\t\t\t\treturn $tw.utils.getWeek(date);\n\t\t\t}],\n\t\t\t[/^YY/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getFullYear() - 2000);\n\t\t\t}]\n\t\t];\n\t// If the user wants everything in UTC, shift the datestamp\n\t// Optimize for format string that essentially means\n\t// 'return raw UTC (tiddlywiki style) date string.'\n\tif(t.indexOf(\"[UTC]\") == 0 ) {\n\t\tif(t == \"[UTC]YYYY0MM0DD0hh0mm0ssXXX\")\n\t\t\treturn $tw.utils.stringifyDate(new Date());\n\t\tvar offset = date.getTimezoneOffset() ; // in minutes\n\t\tdate = new Date(date.getTime()+offset*60*1000) ;\n\t\tt = t.substr(5) ;\n\t}\n\twhile(t.length){\n\t\tvar matchString = \"\";\n\t\t$tw.utils.each(matches, function(m) {\n\t\t\tvar match = m[0].exec(t);\n\t\t\tif(match) {\n\t\t\t\tmatchString = m[1].call();\n\t\t\t\tt = t.substr(match[0].length);\n\t\t\t\treturn false;\n\t\t\t}\n\t\t});\n\t\tif(matchString) {\n\t\t\tresult += matchString;\n\t\t} else {\n\t\t\tresult += t.charAt(0);\n\t\t\tt = t.substr(1);\n\t\t}\n\t}\n\tresult = result.replace(/\\\\(.)/g,\"$1\");\n\treturn result;\n};\n\nexports.getAmPm = function(date) {\n\treturn $tw.language.getString(\"Date/Period/\" + (date.getHours() >= 12 ? \"pm\" : \"am\"));\n};\n\nexports.getDaySuffix = function(date) {\n\treturn $tw.language.getString(\"Date/DaySuffix/\" + date.getDate());\n};\n\nexports.getWeek = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week to calculate weekNo\n\tvar x = new Date(dt.getFullYear(),0,1);\n\tvar n = Math.floor((dt.getTime() - x.getTime()) / 86400000);\n\treturn Math.floor(n / 7) + 1;\n};\n\nexports.getYearForWeekNo = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week\n\treturn dt.getFullYear();\n};\n\nexports.getHours12 = function(date) {\n\tvar h = date.getHours();\n\treturn h > 12 ? h-12 : ( h > 0 ? h : 12 );\n};\n\n/*\nConvert a date delta in milliseconds into a string representation of \"23 seconds ago\", \"27 minutes ago\" etc.\n\tdelta: delta in milliseconds\nReturns an object with these members:\n\tdescription: string describing the delta period\n\tupdatePeriod: time in millisecond until the string will be inaccurate\n*/\nexports.getRelativeDate = function(delta) {\n\tvar futurep = false;\n\tif(delta < 0) {\n\t\tdelta = -1 * delta;\n\t\tfuturep = true;\n\t}\n\tvar units = [\n\t\t{name: \"Years\",   duration:      365 * 24 * 60 * 60 * 1000},\n\t\t{name: \"Months\",  duration: (365/12) * 24 * 60 * 60 * 1000},\n\t\t{name: \"Days\",    duration:            24 * 60 * 60 * 1000},\n\t\t{name: \"Hours\",   duration:                 60 * 60 * 1000},\n\t\t{name: \"Minutes\", duration:                      60 * 1000},\n\t\t{name: \"Seconds\", duration:                           1000}\n\t];\n\tfor(var t=0; t<units.length; t++) {\n\t\tvar result = Math.floor(delta / units[t].duration);\n\t\tif(result >= 2) {\n\t\t\treturn {\n\t\t\t\tdelta: delta,\n\t\t\t\tdescription: $tw.language.getString(\n\t\t\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/\" + units[t].name,\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{period: result.toString()}\n\t\t\t\t\t}\n\t\t\t\t),\n\t\t\t\tupdatePeriod: units[t].duration\n\t\t\t};\n\t\t}\n\t}\n\treturn {\n\t\tdelta: delta,\n\t\tdescription: $tw.language.getString(\n\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/Second\",\n\t\t\t{variables:\n\t\t\t\t{period: \"1\"}\n\t\t\t}\n\t\t),\n\t\tupdatePeriod: 1000\n\t};\n};\n\n// Convert & to \"&amp;\", < to \"&lt;\", > to \"&gt;\", \" to \"&quot;\"\nexports.htmlEncode = function(s) {\n\tif(s) {\n\t\treturn s.toString().replace(/&/mg,\"&amp;\").replace(/</mg,\"&lt;\").replace(/>/mg,\"&gt;\").replace(/\\\"/mg,\"&quot;\");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n// Converts all HTML entities to their character equivalents\nexports.entityDecode = function(s) {\n\tvar converter = String.fromCodePoint || String.fromCharCode,\n\t\te = s.substr(1,s.length-2), // Strip the & and the ;\n\t\tc;\n\tif(e.charAt(0) === \"#\") {\n\t\tif(e.charAt(1) === \"x\" || e.charAt(1) === \"X\") {\n\t\t\tc = parseInt(e.substr(2),16);\n\t\t} else {\n\t\t\tc = parseInt(e.substr(1),10);\n\t\t}\n\t\tif(isNaN(c)) {\n\t\t\treturn s;\n\t\t} else {\n\t\t\treturn converter(c);\n\t\t}\n\t} else {\n\t\tc = $tw.config.htmlEntities[e];\n\t\tif(c) {\n\t\t\treturn converter(c);\n\t\t} else {\n\t\t\treturn s; // Couldn't convert it as an entity, just return it raw\n\t\t}\n\t}\n};\n\nexports.unescapeLineBreaks = function(s) {\n\treturn s.replace(/\\\\n/mg,\"\\n\").replace(/\\\\b/mg,\" \").replace(/\\\\s/mg,\"\\\\\").replace(/\\r/mg,\"\");\n};\n\n/*\n * Returns an escape sequence for given character. Uses \\x for characters <=\n * 0xFF to save space, \\u for the rest.\n *\n * The code needs to be in sync with th code template in the compilation\n * function for \"action\" nodes.\n */\n// Copied from peg.js, thanks to David Majda\nexports.escape = function(ch) {\n\tvar charCode = ch.charCodeAt(0);\n\tif(charCode <= 0xFF) {\n\t\treturn '\\\\x' + $tw.utils.pad(charCode.toString(16).toUpperCase());\n\t} else {\n\t\treturn '\\\\u' + $tw.utils.pad(charCode.toString(16).toUpperCase(),4);\n\t}\n};\n\n// Turns a string into a legal JavaScript string\n// Copied from peg.js, thanks to David Majda\nexports.stringify = function(s) {\n\t/*\n\t* ECMA-262, 5th ed., 7.8.4: All characters may appear literally in a string\n\t* literal except for the closing quote character, backslash, carriage return,\n\t* line separator, paragraph separator, and line feed. Any character may\n\t* appear in the form of an escape sequence.\n\t*\n\t* For portability, we also escape all non-ASCII characters.\n\t*/\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\')            // backslash\n\t\t.replace(/\"/g, '\\\\\"')              // double quote character\n\t\t.replace(/'/g, \"\\\\'\")              // single quote character\n\t\t.replace(/\\r/g, '\\\\r')             // carriage return\n\t\t.replace(/\\n/g, '\\\\n')             // line feed\n\t\t.replace(/[\\x00-\\x1f\\x80-\\uFFFF]/g, exports.escape); // non-ASCII characters\n};\n\n// Turns a string into a legal JSON string\n// Derived from peg.js, thanks to David Majda\nexports.jsonStringify = function(s) {\n\t// See http://www.json.org/\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\')            // backslash\n\t\t.replace(/\"/g, '\\\\\"')              // double quote character\n\t\t.replace(/\\r/g, '\\\\r')             // carriage return\n\t\t.replace(/\\n/g, '\\\\n')             // line feed\n\t\t.replace(/\\x08/g, '\\\\b')           // backspace\n\t\t.replace(/\\x0c/g, '\\\\f')           // formfeed\n\t\t.replace(/\\t/g, '\\\\t')             // tab\n\t\t.replace(/[\\x00-\\x1f\\x80-\\uFFFF]/g,function(s) {\n\t\t\treturn '\\\\u' + $tw.utils.pad(s.charCodeAt(0).toString(16).toUpperCase(),4);\n\t\t}); // non-ASCII characters\n};\n\n/*\nEscape the RegExp special characters with a preceding backslash\n*/\nexports.escapeRegExp = function(s) {\n    return s.replace(/[\\-\\/\\\\\\^\\$\\*\\+\\?\\.\\(\\)\\|\\[\\]\\{\\}]/g, '\\\\$&');\n};\n\n// Checks whether a link target is external, i.e. not a tiddler title\nexports.isLinkExternal = function(to) {\n\tvar externalRegExp = /^(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|\"\\\\^]+(?:\\/|\\b)/i;\n\treturn externalRegExp.test(to);\n};\n\nexports.nextTick = function(fn) {\n/*global window: false */\n\tif(typeof process === \"undefined\") {\n\t\t// Apparently it would be faster to use postMessage - http://dbaron.org/log/20100309-faster-timeouts\n\t\twindow.setTimeout(fn,4);\n\t} else {\n\t\tprocess.nextTick(fn);\n\t}\n};\n\n/*\nConvert a hyphenated CSS property name into a camel case one\n*/\nexports.unHyphenateCss = function(propName) {\n\treturn propName.replace(/-([a-z])/gi, function(match0,match1) {\n\t\treturn match1.toUpperCase();\n\t});\n};\n\n/*\nConvert a camelcase CSS property name into a dashed one (\"backgroundColor\" --> \"background-color\")\n*/\nexports.hyphenateCss = function(propName) {\n\treturn propName.replace(/([A-Z])/g, function(match0,match1) {\n\t\treturn \"-\" + match1.toLowerCase();\n\t});\n};\n\n/*\nParse a text reference of one of these forms:\n* title\n* !!field\n* title!!field\n* title##index\n* etc\nReturns an object with the following fields, all optional:\n* title: tiddler title\n* field: tiddler field name\n* index: JSON property index\n*/\nexports.parseTextReference = function(textRef) {\n\t// Separate out the title, field name and/or JSON indices\n\tvar reTextRef = /(?:(.*?)!!(.+))|(?:(.*?)##(.+))|(.*)/mg,\n\t\tmatch = reTextRef.exec(textRef),\n\t\tresult = {};\n\tif(match && reTextRef.lastIndex === textRef.length) {\n\t\t// Return the parts\n\t\tif(match[1]) {\n\t\t\tresult.title = match[1];\n\t\t}\n\t\tif(match[2]) {\n\t\t\tresult.field = match[2];\n\t\t}\n\t\tif(match[3]) {\n\t\t\tresult.title = match[3];\n\t\t}\n\t\tif(match[4]) {\n\t\t\tresult.index = match[4];\n\t\t}\n\t\tif(match[5]) {\n\t\t\tresult.title = match[5];\n\t\t}\n\t} else {\n\t\t// If we couldn't parse it\n\t\tresult.title = textRef\n\t}\n\treturn result;\n};\n\n/*\nChecks whether a string is a valid fieldname\n*/\nexports.isValidFieldName = function(name) {\n\tif(!name || typeof name !== \"string\") {\n\t\treturn false;\n\t}\n\tname = name.toLowerCase().trim();\n\tvar fieldValidatorRegEx = /^[a-z0-9\\-\\._]+$/mg;\n\treturn fieldValidatorRegEx.test(name);\n};\n\n/*\nExtract the version number from the meta tag or from the boot file\n*/\n\n// Browser version\nexports.extractVersionInfo = function() {\n\tif($tw.packageInfo) {\n\t\treturn $tw.packageInfo.version;\n\t} else {\n\t\tvar metatags = document.getElementsByTagName(\"meta\");\n\t\tfor(var t=0; t<metatags.length; t++) {\n\t\t\tvar m = metatags[t];\n\t\t\tif(m.name === \"tiddlywiki-version\") {\n\t\t\t\treturn m.content;\n\t\t\t}\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the animation duration in ms\n*/\nexports.getAnimationDuration = function() {\n\treturn parseInt($tw.wiki.getTiddlerText(\"$:/config/AnimationDuration\",\"400\"),10) || 0;\n};\n\n/*\nHash a string to a number\nDerived from http://stackoverflow.com/a/15710692\n*/\nexports.hashString = function(str) {\n\treturn str.split(\"\").reduce(function(a,b) {\n\t\ta = ((a << 5) - a) + b.charCodeAt(0);\n\t\treturn a & a;\n\t},0);\n};\n\n/*\nDecode a base64 string\n*/\nexports.base64Decode = function(string64) {\n\treturn base64utf8.base64.decode.call(base64utf8,string64);\n};\n\n/*\nEncode a string to base64\n*/\nexports.base64Encode = function(string64) {\n\treturn base64utf8.base64.encode.call(base64utf8,string64);\n};\n\n/*\nConvert a hashmap into a tiddler dictionary format sequence of name:value pairs\n*/\nexports.makeTiddlerDictionary = function(data) {\n\tvar output = [];\n\tfor(var name in data) {\n\t\toutput.push(name + \": \" + data[name]);\n\t}\n\treturn output.join(\"\\n\");\n};\n\n/*\nHigh resolution microsecond timer for profiling\n*/\nexports.timer = function(base) {\n\tvar m;\n\tif($tw.node) {\n\t\tvar r = process.hrtime();\n\t\tm =  r[0] * 1e3 + (r[1] / 1e6);\n\t} else if(window.performance) {\n\t\tm = performance.now();\n\t} else {\n\t\tm = Date.now();\n\t}\n\tif(typeof base !== \"undefined\") {\n\t\tm = m - base;\n\t}\n\treturn m;\n};\n\n/*\nConvert text and content type to a data URI\n*/\nexports.makeDataUri = function(text,type,_canonical_uri) {\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar typeInfo = $tw.config.contentTypeInfo[type] || $tw.config.contentTypeInfo[\"text/plain\"],\n\t\tisBase64 = typeInfo.encoding === \"base64\",\n\t\tparts = [];\n\tif(_canonical_uri) {\n\t\tparts.push(_canonical_uri);\n\t} else {\n\t\tparts.push(\"data:\");\n\t\tparts.push(type);\n\t\tparts.push(isBase64 ? \";base64\" : \"\");\n\t\tparts.push(\",\");\n\t\tparts.push(isBase64 ? text : encodeURIComponent(text));\t\t\n\t}\n\treturn parts.join(\"\");\n};\n\n/*\nUseful for finding out the fully escaped CSS selector equivalent to a given tag. For example:\n\n$tw.utils.tagToCssSelector(\"$:/tags/Stylesheet\") --> tc-tagged-\\%24\\%3A\\%2Ftags\\%2FStylesheet\n*/\nexports.tagToCssSelector = function(tagName) {\n\treturn \"tc-tagged-\" + encodeURIComponent(tagName).replace(/[!\"#$%&'()*+,\\-./:;<=>?@[\\\\\\]^`{\\|}~,]/mg,function(c) {\n\t\treturn \"\\\\\" + c;\n\t});\n};\n\n/*\nIE does not have sign function\n*/\nexports.sign = Math.sign || function(x) {\n\tx = +x; // convert to a number\n\tif (x === 0 || isNaN(x)) {\n\t\treturn x;\n\t}\n\treturn x > 0 ? 1 : -1;\n};\n\n/*\nIE does not have an endsWith function\n*/\nexports.strEndsWith = function(str,ending,position) {\n\tif(str.endsWith) {\n\t\treturn str.endsWith(ending,position);\n\t} else {\n\t\tif (typeof position !== 'number' || !isFinite(position) || Math.floor(position) !== position || position > str.length) {\n\t\t\tposition = str.length;\n\t\t}\n\t\tposition -= ending.length;\n\t\tvar lastIndex = str.indexOf(ending, position);\n\t\treturn lastIndex !== -1 && lastIndex === position;\n\t}\n};\n\n/*\nReturn system information useful for debugging\n*/\nexports.getSystemInfo = function(str,ending,position) {\n\tvar results = [],\n\t\tsave = function(desc,value) {\n\t\t\tresults.push(desc + \": \" + value);\n\t\t};\n\tif($tw.browser) {\n\t\tsave(\"User Agent\",navigator.userAgent);\n\t\tsave(\"Online Status\",window.navigator.onLine);\n\t}\n\tif($tw.node) {\n\t\tsave(\"Node Version\",process.version);\n\t}\n\treturn results.join(\"\\n\");\n};\n\nexports.parseNumber = function(str) {\n\treturn parseFloat(str) || 0;\n};\n\nexports.parseInt = function(str) {\n\treturn parseInt(str,10) || 0;\n};\n\nexports.stringifyNumber = function(num) {\n\treturn num + \"\";\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/widgets/action-createtiddler.js": {
            "title": "$:/core/modules/widgets/action-createtiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-createtiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to create a new tiddler with a unique name and specified fields.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw:false, require:false, exports:false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CreateTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCreateTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCreateTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nCreateTiddlerWidget.prototype.execute = function() {\n\tthis.actionBaseTitle = this.getAttribute(\"$basetitle\");\n\tthis.hasBase = !!this.actionBaseTitle;\n\tthis.actionSaveTitle = this.getAttribute(\"$savetitle\");\n\tthis.actionSaveDraftTitle = this.getAttribute(\"$savedrafttitle\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n\t//Following params are new since 5.1.22\n\tthis.actionTemplate = this.getAttribute(\"$template\");\n\tthis.useTemplate = !!this.actionTemplate;\n\tthis.actionOverwrite = this.getAttribute(\"$overwrite\",\"no\");\n\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nCreateTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nCreateTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar title = this.wiki.getTiddlerText(\"$:/language/DefaultNewTiddlerTitle\"), // Get the initial new-tiddler title\n\t\tfields = {},\n\t\tcreationFields,\n\t\tmodificationFields;\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tfields[name] = attribute;\n\t\t}\n\t});\n\tif(this.actionTimestamp) {\n\t\tcreationFields = this.wiki.getCreationFields();\n\t\tmodificationFields = this.wiki.getModificationFields();\n\t}\n\tif(this.hasBase && this.actionOverwrite === \"no\") {\n\t\ttitle = this.wiki.generateNewTitle(this.actionBaseTitle);\n\t} else if (this.hasBase && this.actionOverwrite === \"yes\") {\n\t\ttitle = this.actionBaseTitle\n\t}\n\t// NO $basetitle BUT $template parameter is available\n\t// the title MUST be unique, otherwise the template would be overwritten\n\tif (!this.hasBase && this.useTemplate) {\n\t\ttitle = this.wiki.generateNewTitle(this.actionTemplate);\n\t} else if (!this.hasBase && !this.useTemplate) {\n\t\t// If NO $basetitle AND NO $template use initial title\n\t\t// DON'T overwrite any stuff\n\t\ttitle = this.wiki.generateNewTitle(title);\n\t}\n\tvar templateTiddler = this.wiki.getTiddler(this.actionTemplate) || {};\n\tvar tiddler = this.wiki.addTiddler(new $tw.Tiddler(templateTiddler.fields,creationFields,fields,modificationFields,{title: title}));\n\tif(this.actionSaveTitle) {\n\t\tthis.wiki.setTextReference(this.actionSaveTitle,title,this.getVariable(\"currentTiddler\"));\n\t}\n\tif(this.actionSaveDraftTitle) {\n\t\tthis.wiki.setTextReference(this.actionSaveDraftTitle,this.wiki.generateDraftTitle(title),this.getVariable(\"currentTiddler\"));\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-createtiddler\"] = CreateTiddlerWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/action-deletefield.js": {
            "title": "$:/core/modules/widgets/action-deletefield.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-deletefield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete fields of a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\ttiddler = this.wiki.getTiddler(self.actionTiddler),\n\t\tremoveFields = {},\n\t\thasChanged = false;\n\tif(this.actionField && tiddler) {\n\t\tremoveFields[this.actionField] = undefined;\n\t\tif(this.actionField in tiddler.fields) {\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\tif(tiddler) {\n\t\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\t\tif(name.charAt(0) !== \"$\" && name !== \"title\") {\n\t\t\t\tremoveFields[name] = undefined;\n\t\t\t\thasChanged = true;\n\t\t\t}\n\t\t});\n\t\tif(hasChanged) {\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,removeFields,this.wiki.getModificationFields()));\t\t\t\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletefield\"] = DeleteFieldWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/action-deletetiddler.js": {
            "title": "$:/core/modules/widgets/action-deletetiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-deletetiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteTiddlerWidget.prototype.execute = function() {\n\tthis.actionFilter = this.getAttribute(\"$filter\");\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$filter\"] || changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar tiddlers = [];\n\tif(this.actionFilter) {\n\t\ttiddlers = this.wiki.filterTiddlers(this.actionFilter,this);\n\t}\n\tif(this.actionTiddler) {\n\t\ttiddlers.push(this.actionTiddler);\n\t}\n\tfor(var t=0; t<tiddlers.length; t++) {\n\t\tthis.wiki.deleteTiddler(tiddlers[t]);\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletetiddler\"] = DeleteTiddlerWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/action-listops.js": {
            "title": "$:/core/modules/widgets/action-listops.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-listops.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to apply list operations to any tiddler field (defaults to the 'list' field of the current tiddler)\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar ActionListopsWidget = function(parseTreeNode, options) {\n\tthis.initialise(parseTreeNode, options);\n};\n/**\n * Inherit from the base widget class\n */\nActionListopsWidget.prototype = new Widget();\n/**\n * Render this widget into the DOM\n */\nActionListopsWidget.prototype.render = function(parent, nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n/**\n * Compute the internal state of the widget\n */\nActionListopsWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.target = this.getAttribute(\"$tiddler\", this.getVariable(\n\t\t\"currentTiddler\"));\n\tthis.filter = this.getAttribute(\"$filter\");\n\tthis.subfilter = this.getAttribute(\"$subfilter\");\n\tthis.listField = this.getAttribute(\"$field\", \"list\");\n\tthis.listIndex = this.getAttribute(\"$index\");\n\tthis.filtertags = this.getAttribute(\"$tags\");\n};\n/**\n * \tRefresh the widget by ensuring our attributes are up to date\n */\nActionListopsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.$tiddler || changedAttributes.$filter ||\n\t\tchangedAttributes.$subfilter || changedAttributes.$field ||\n\t\tchangedAttributes.$index || changedAttributes.$tags) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n/**\n * \tInvoke the action associated with this widget\n */\nActionListopsWidget.prototype.invokeAction = function(triggeringWidget,\n\tevent) {\n\t//Apply the specified filters to the lists\n\tvar field = this.listField,\n\t\tindex,\n\t\ttype = \"!!\",\n\t\tlist = this.listField;\n\tif(this.listIndex) {\n\t\tfield = undefined;\n\t\tindex = this.listIndex;\n\t\ttype = \"##\";\n\t\tlist = this.listIndex;\n\t}\n\tif(this.filter) {\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(this.filter, this)));\n\t}\n\tif(this.subfilter) {\n\t\tvar subfilter = \"[list[\" + this.target + type + list + \"]] \" + this.subfilter;\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(subfilter, this)));\n\t}\n\tif(this.filtertags) {\n\t\tvar tiddler = this.wiki.getTiddler(this.target),\n\t\t\toldtags = tiddler ? (tiddler.fields.tags || []).slice(0) : [],\n\t\t\ttagfilter = \"[list[\" + this.target + \"!!tags]] \" + this.filtertags,\n\t\t\tnewtags = this.wiki.filterTiddlers(tagfilter,this);\n\t\tif($tw.utils.stringifyList(oldtags.sort()) !== $tw.utils.stringifyList(newtags.sort())) {\n\t\t\tthis.wiki.setText(this.target,\"tags\",undefined,$tw.utils.stringifyList(newtags));\t\t\t\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-listops\"] = ActionListopsWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/action-navigate.js": {
            "title": "$:/core/modules/widgets/action-navigate.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-navigate.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to navigate to a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigateWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigateWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigateWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigateWidget.prototype.execute = function() {\n\tthis.actionTo = this.getAttribute(\"$to\");\n\tthis.actionScroll = this.getAttribute(\"$scroll\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nNavigateWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$to\"] || changedAttributes[\"$scroll\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nNavigateWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tevent = event || {};\n\tvar bounds = triggeringWidget && triggeringWidget.getBoundingClientRect && triggeringWidget.getBoundingClientRect(),\n\t\tsuppressNavigation = event.metaKey || event.ctrlKey || (event.button === 1);\n\tif(this.actionScroll === \"yes\") {\n\t\tsuppressNavigation = false;\n\t} else if(this.actionScroll === \"no\") {\n\t\tsuppressNavigation = true;\n\t}\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.actionTo === undefined ? this.getVariable(\"currentTiddler\") : this.actionTo,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: triggeringWidget,\n\t\tnavigateFromClientRect: bounds && { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: suppressNavigation\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-navigate\"] = NavigateWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/action-popup.js": {
            "title": "$:/core/modules/widgets/action-popup.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-popup.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to trigger a popup.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ActionPopupWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nActionPopupWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nActionPopupWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nActionPopupWidget.prototype.execute = function() {\n\tthis.actionState = this.getAttribute(\"$state\");\n\tthis.actionCoords = this.getAttribute(\"$coords\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nActionPopupWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$state\"] || changedAttributes[\"$coords\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nActionPopupWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Trigger the popup\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/,\n\t\tmatch = popupLocationRegExp.exec(this.actionCoords);\n\tif(match) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: null,\n\t\t\tdomNodeRect: {\n\t\t\t\tleft: parseFloat(match[1]),\n\t\t\t\ttop: parseFloat(match[2]),\n\t\t\t\twidth: parseFloat(match[3]),\n\t\t\t\theight: parseFloat(match[4])\n\t\t\t},\n\t\t\ttitle: this.actionState,\n\t\t\twiki: this.wiki\n\t\t});\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-popup\"] = ActionPopupWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/action-sendmessage.js": {
            "title": "$:/core/modules/widgets/action-sendmessage.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-sendmessage.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to send a message\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SendMessageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSendMessageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSendMessageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSendMessageWidget.prototype.execute = function() {\n\tthis.actionMessage = this.getAttribute(\"$message\");\n\tthis.actionParam = this.getAttribute(\"$param\");\n\tthis.actionName = this.getAttribute(\"$name\");\n\tthis.actionValue = this.getAttribute(\"$value\",\"\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSendMessageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSendMessageWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Get the string parameter\n\tvar param = this.actionParam;\n\t// Assemble the attributes as a hashmap\n\tvar paramObject = Object.create(null);\n\tvar count = 0;\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparamObject[name] = attribute;\n\t\t\tcount++;\n\t\t}\n\t});\n\t// Add name/value pair if present\n\tif(this.actionName) {\n\t\tparamObject[this.actionName] = this.actionValue;\n\t}\n\t// Dispatch the message\n\tthis.dispatchEvent({\n\t\ttype: this.actionMessage,\n\t\tparam: param,\n\t\tparamObject: paramObject,\n\t\ttiddlerTitle: this.getVariable(\"currentTiddler\"),\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tevent: event\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-sendmessage\"] = SendMessageWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/action-setfield.js": {
            "title": "$:/core/modules/widgets/action-setfield.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-setfield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to set a single field or index on a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n\tthis.actionIndex = this.getAttribute(\"$index\");\n\tthis.actionValue = this.getAttribute(\"$value\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSetFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"] || changedAttributes[\"$field\"] || changedAttributes[\"$index\"] || changedAttributes[\"$value\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSetFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\toptions = {};\n\toptions.suppressTimestamp = !this.actionTimestamp;\n\tif((typeof this.actionField == \"string\") || (typeof this.actionIndex == \"string\")  || (typeof this.actionValue == \"string\")) {\n\t\tthis.wiki.setText(this.actionTiddler,this.actionField,this.actionIndex,this.actionValue,options);\n\t}\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tself.wiki.setText(self.actionTiddler,name,undefined,attribute,options);\n\t\t}\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-setfield\"] = SetFieldWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/browse.js": {
            "title": "$:/core/modules/widgets/browse.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/browse.js\ntype: application/javascript\nmodule-type: widget\n\nBrowse widget for browsing for files to import\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar BrowseWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nBrowseWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nBrowseWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"file\");\n\tif(this.browseMultiple) {\n\t\tdomNode.setAttribute(\"multiple\",\"multiple\");\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\t// Nw.js supports \"nwsaveas\" to force a \"save as\" dialogue that allows a new or existing file to be selected\n\tif(this.nwsaveas) {\n\t\tdomNode.setAttribute(\"nwsaveas\",this.nwsaveas);\n\t}\n\t// Nw.js supports \"webkitdirectory\" and \"nwdirectory\" to allow a directory to be selected\n\tif(this.webkitdirectory) {\n\t\tdomNode.setAttribute(\"webkitdirectory\",this.webkitdirectory);\n\t}\n\tif(this.nwdirectory) {\n\t\tdomNode.setAttribute(\"nwdirectory\",this.nwdirectory);\n\t}\n\t// Add a click event handler\n\tdomNode.addEventListener(\"change\",function (event) {\n\t\tif(self.message) {\n\t\t\tself.dispatchEvent({type: self.message, param: self.param, files: event.target.files});\n\t\t} else {\n\t\t\tself.wiki.readFiles(event.target.files,{\n\t\t\t\tcallback: function(tiddlerFieldsArray) {\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t\t\t},\n\t\t\t\tdeserializer: self.deserializer\n\t\t\t});\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nBrowseWidget.prototype.execute = function() {\n\tthis.browseMultiple = this.getAttribute(\"multiple\");\n\tthis.deserializer = this.getAttribute(\"deserializer\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.nwsaveas = this.getAttribute(\"nwsaveas\");\n\tthis.webkitdirectory = this.getAttribute(\"webkitdirectory\");\n\tthis.nwdirectory = this.getAttribute(\"nwdirectory\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nBrowseWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.browse = BrowseWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/button.js": {
            "title": "$:/core/modules/widgets/button.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/button.js\ntype: application/javascript\nmodule-type: widget\n\nButton widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ButtonWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nButtonWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nButtonWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar tag = \"button\";\n\tif(this.buttonTag && $tw.config.htmlUnsafeElements.indexOf(this.buttonTag) === -1) {\n\t\ttag = this.buttonTag;\n\t}\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = this[\"class\"].split(\" \") || [],\n\t\tisPoppedUp = (this.popup || this.popupTitle) && this.isPoppedUp();\n\tif(this.selectedClass) {\n\t\tif((this.set || this.setTitle) && this.setTo && this.isSelected()) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t\tif(isPoppedUp) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t}\n\tif(isPoppedUp) {\n\t\t$tw.utils.pushTop(classes,\"tc-popup-handle\");\n\t}\n\tdomNode.className = classes.join(\" \");\n\t// Assign other attributes\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Set the tabindex\n\tif(this.tabIndex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.tabIndex);\n\t}\t\n\t// Add a click event handler\n\tdomNode.addEventListener(\"click\",function (event) {\n\t\tvar handled = false;\n\t\tif(self.invokeActions(self,event)) {\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.to) {\n\t\t\tself.navigateTo(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.message) {\n\t\t\tself.dispatchMessage(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.popup || self.popupTitle) {\n\t\t\tself.triggerPopup(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.set || self.setTitle) {\n\t\t\tself.setTiddler();\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.actions) {\n\t\t\tself.invokeActionString(self.actions,self,event);\n\t\t}\n\t\tif(handled) {\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t}\n\t\treturn handled;\n\t},false);\n\t// Make it draggable if required\n\tif(this.dragTiddler || this.dragFilter) {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.dragTiddler;},\n\t\t\tdragFilterFn: function() {return self.dragFilter;},\n\t\t\twidget: this\n\t\t});\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nWe don't allow actions to propagate because we trigger actions ourselves\n*/\nButtonWidget.prototype.allowActionPropagation = function() {\n\treturn false;\n};\n\nButtonWidget.prototype.getBoundingClientRect = function() {\n\treturn this.domNodes[0].getBoundingClientRect();\n};\n\nButtonWidget.prototype.isSelected = function() {\n    return this.setTitle ? (this.setField ? this.wiki.getTiddler(this.setTitle).getFieldString(this.setField) === this.setTo :\n\t\t(this.setIndex ? this.wiki.extractTiddlerDataItem(this.setTitle,this.setIndex) === this.setTo :\n\t\t\tthis.wiki.getTiddlerText(this.setTitle))) || this.defaultSetValue || this.getVariable(\"currentTiddler\") :\n\t\tthis.wiki.getTextReference(this.set,this.defaultSetValue,this.getVariable(\"currentTiddler\")) === this.setTo;\n};\n\nButtonWidget.prototype.isPoppedUp = function() {\n\tvar tiddler = this.popupTitle ? this.wiki.getTiddler(this.popupTitle) : this.wiki.getTiddler(this.popup);\n\tvar result = tiddler && tiddler.fields.text ? $tw.popup.readPopupState(tiddler.fields.text) : false;\n\treturn result;\n};\n\nButtonWidget.prototype.navigateTo = function(event) {\n\tvar bounds = this.getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1),\n\t\tevent: event\n\t});\n};\n\nButtonWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\"), event: event});\n};\n\nButtonWidget.prototype.triggerPopup = function(event) {\n\tif(this.popupTitle) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNodes[0],\n\t\t\ttitle: this.popupTitle,\n\t\t\twiki: this.wiki,\n\t\t\tnoStateReference: true\n\t\t});\n\t} else {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNodes[0],\n\t\t\ttitle: this.popup,\n\t\t\twiki: this.wiki\n\t\t});\n\t}\n};\n\nButtonWidget.prototype.setTiddler = function() {\n\tif(this.setTitle) {\n\t\tthis.setField ? this.wiki.setText(this.setTitle,this.setField,undefined,this.setTo) :\n\t\t\t\t(this.setIndex ? this.wiki.setText(this.setTitle,undefined,this.setIndex,this.setTo) :\n\t\t\t\tthis.wiki.setText(this.setTitle,\"text\",undefined,this.setTo));\n\t} else {\n\t\tthis.wiki.setTextReference(this.set,this.setTo,this.getVariable(\"currentTiddler\"));\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nButtonWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.actions = this.getAttribute(\"actions\");\n\tthis.to = this.getAttribute(\"to\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.set = this.getAttribute(\"set\");\n\tthis.setTo = this.getAttribute(\"setTo\");\n\tthis.popup = this.getAttribute(\"popup\");\n\tthis.hover = this.getAttribute(\"hover\");\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.style = this.getAttribute(\"style\");\n\tthis.selectedClass = this.getAttribute(\"selectedClass\");\n\tthis.defaultSetValue = this.getAttribute(\"default\",\"\");\n\tthis.buttonTag = this.getAttribute(\"tag\");\n\tthis.dragTiddler = this.getAttribute(\"dragTiddler\");\n\tthis.dragFilter = this.getAttribute(\"dragFilter\");\n\tthis.setTitle = this.getAttribute(\"setTitle\");\n\tthis.setField = this.getAttribute(\"setField\");\n\tthis.setIndex = this.getAttribute(\"setIndex\");\n\tthis.popupTitle = this.getAttribute(\"popupTitle\");\n\tthis.tabIndex = this.getAttribute(\"tabindex\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nButtonWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.actions || changedAttributes.to || changedAttributes.message || changedAttributes.param || changedAttributes.set || changedAttributes.setTo || changedAttributes.popup || changedAttributes.hover || changedAttributes[\"class\"] || changedAttributes.selectedClass || changedAttributes.style || changedAttributes.dragFilter || changedAttributes.dragTiddler || (this.set && changedTiddlers[this.set]) || (this.popup && changedTiddlers[this.popup]) || (this.popupTitle && changedTiddlers[this.popupTitle]) || changedAttributes.setTitle || changedAttributes.setField || changedAttributes.setIndex || changedAttributes.popupTitle) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.button = ButtonWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/checkbox.js": {
            "title": "$:/core/modules/widgets/checkbox.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/checkbox.js\ntype: application/javascript\nmodule-type: widget\n\nCheckbox widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CheckboxWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCheckboxWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCheckboxWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",this.checkboxClass);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"checkbox\");\n\tif(this.getValue()) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nCheckboxWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.checkboxTitle);\n\tif(tiddler) {\n\t\tif(this.checkboxTag) {\n\t\t\tif(this.checkboxInvertTag) {\n\t\t\t\treturn !tiddler.hasTag(this.checkboxTag);\n\t\t\t} else {\n\t\t\t\treturn tiddler.hasTag(this.checkboxTag);\n\t\t\t}\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tvar value;\n\t\t\tif($tw.utils.hop(tiddler.fields,this.checkboxField)) {\n\t\t\t\tvalue = tiddler.fields[this.checkboxField] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = this.checkboxDefault || \"\";\n\t\t\t}\n\t\t\tif(value === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(value === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\tif(this.checkboxIndex) {\n\t\t\tvar value = this.wiki.extractTiddlerDataItem(tiddler,this.checkboxIndex,this.checkboxDefault || \"\");\n\t\t\tif(value === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(value === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t} else {\n\t\tif(this.checkboxTag) {\n\t\t\treturn false;\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tif(this.checkboxDefault === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(this.checkboxDefault === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\nCheckboxWidget.prototype.handleChangeEvent = function(event) {\n\tvar checked = this.inputDomNode.checked,\n\t\ttiddler = this.wiki.getTiddler(this.checkboxTitle),\n\t\tfallbackFields = {text: \"\"},\n\t\tnewFields = {title: this.checkboxTitle},\n\t\thasChanged = false,\n\t\ttagCheck = false,\n\t\thasTag = tiddler && tiddler.hasTag(this.checkboxTag),\n\t\tvalue = checked ? this.checkboxChecked : this.checkboxUnchecked;\n\tif(this.checkboxTag && this.checkboxInvertTag === \"yes\") {\n\t\ttagCheck = hasTag === checked;\n\t} else {\n\t\ttagCheck = hasTag !== checked;\n\t}\n\t// Set the tag if specified\n\tif(this.checkboxTag && (!tiddler || tagCheck)) {\n\t\tnewFields.tags = tiddler ? (tiddler.fields.tags || []).slice(0) : [];\n\t\tvar pos = newFields.tags.indexOf(this.checkboxTag);\n\t\tif(pos !== -1) {\n\t\t\tnewFields.tags.splice(pos,1);\n\t\t}\n\t\tif(this.checkboxInvertTag === \"yes\" && !checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t} else if(this.checkboxInvertTag !== \"yes\" && checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t}\n\t\thasChanged = true;\n\t}\n\t// Set the field if specified\n\tif(this.checkboxField) {\n\t\tif(!tiddler || tiddler.fields[this.checkboxField] !== value) {\n\t\t\tnewFields[this.checkboxField] = value;\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\t// Set the index if specified\n\tif(this.checkboxIndex) {\n\t\tvar indexValue = this.wiki.extractTiddlerDataItem(this.checkboxTitle,this.checkboxIndex);\n\t\tif(!tiddler || indexValue !== value) {\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\tif(hasChanged) {\n\t\tif(this.checkboxIndex) {\n\t\t\tthis.wiki.setText(this.checkboxTitle,\"\",this.checkboxIndex,value);\n\t\t} else {\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),fallbackFields,tiddler,newFields,this.wiki.getModificationFields()));\n\t\t}\n\t}\n\t// Trigger actions\n\tif(this.checkboxActions) {\n\t\tthis.invokeActionString(this.checkboxActions,this,event);\n\t}\n\tif(this.checkboxCheckActions && checked) {\n\t\tthis.invokeActionString(this.checkboxCheckActions,this,event);\n\t}\n\tif(this.checkboxUncheckActions && !checked) {\n\t\tthis.invokeActionString(this.checkboxUncheckActions,this,event);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCheckboxWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.checkboxActions = this.getAttribute(\"actions\");\n\tthis.checkboxCheckActions = this.getAttribute(\"checkactions\");\n\tthis.checkboxUncheckActions = this.getAttribute(\"uncheckactions\");\n\tthis.checkboxTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.checkboxTag = this.getAttribute(\"tag\");\n\tthis.checkboxField = this.getAttribute(\"field\");\n\tthis.checkboxIndex = this.getAttribute(\"index\");\n\tthis.checkboxChecked = this.getAttribute(\"checked\");\n\tthis.checkboxUnchecked = this.getAttribute(\"unchecked\");\n\tthis.checkboxDefault = this.getAttribute(\"default\");\n\tthis.checkboxClass = this.getAttribute(\"class\",\"\");\n\tthis.checkboxInvertTag = this.getAttribute(\"invertTag\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCheckboxWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.tag || changedAttributes.invertTag || changedAttributes.field || changedAttributes.index || changedAttributes.checked || changedAttributes.unchecked || changedAttributes[\"default\"] || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.checkboxTitle]) {\n\t\t\tthis.inputDomNode.checked = this.getValue();\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.checkbox = CheckboxWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/codeblock.js": {
            "title": "$:/core/modules/widgets/codeblock.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/codeblock.js\ntype: application/javascript\nmodule-type: widget\n\nCode block node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CodeBlockWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCodeBlockWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCodeBlockWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar codeNode = this.document.createElement(\"code\"),\n\t\tdomNode = this.document.createElement(\"pre\");\n\tcodeNode.appendChild(this.document.createTextNode(this.getAttribute(\"code\")));\n\tdomNode.appendChild(codeNode);\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n\tif(this.postRender) {\n\t\tthis.postRender();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCodeBlockWidget.prototype.execute = function() {\n\tthis.language = this.getAttribute(\"language\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCodeBlockWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.codeblock = CodeBlockWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/count.js": {
            "title": "$:/core/modules/widgets/count.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/count.js\ntype: application/javascript\nmodule-type: widget\n\nCount widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CountWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCountWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCountWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.currentCount);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nCountWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Execute the filter\n\tif(this.filter) {\n\t\tthis.currentCount = this.wiki.filterTiddlers(this.filter,this).length;\n\t} else {\n\t\tthis.currentCount = \"0\";\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCountWidget.prototype.refresh = function(changedTiddlers) {\n\t// Re-execute the filter to get the count\n\tthis.computeAttributes();\n\tvar oldCount = this.currentCount;\n\tthis.execute();\n\tif(this.currentCount !== oldCount) {\n\t\t// Regenerate and rerender the widget and replace the existing DOM node\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n\n};\n\nexports.count = CountWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/diff-text.js": {
            "title": "$:/core/modules/widgets/diff-text.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/diff-text.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to display a diff between two texts\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget,\n\tdmp = require(\"$:/core/modules/utils/diff-match-patch/diff_match_patch.js\");\n\nvar DiffTextWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDiffTextWidget.prototype = new Widget();\n\nDiffTextWidget.prototype.invisibleCharacters = {\n\t\"\\n\": \"↩︎\\n\",\n\t\"\\r\": \"⇠\",\n\t\"\\t\": \"⇥\\t\"\n};\n\n/*\nRender this widget into the DOM\n*/\nDiffTextWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create the diff\n\tvar dmpObject = new dmp.diff_match_patch(),\n\t\tdiffs = dmpObject.diff_main(this.getAttribute(\"source\"),this.getAttribute(\"dest\"));\n\t// Apply required cleanup\n\tswitch(this.getAttribute(\"cleanup\",\"semantic\")) {\n\t\tcase \"none\":\n\t\t\t// No cleanup\n\t\t\tbreak;\n\t\tcase \"efficiency\":\n\t\t\tdmpObject.diff_cleanupEfficiency(diffs);\n\t\t\tbreak;\n\t\tdefault: // case \"semantic\"\n\t\t\tdmpObject.diff_cleanupSemantic(diffs);\n\t\t\tbreak;\n\t}\n\t// Create the elements\n\tvar domContainer = this.document.createElement(\"div\"), \n\t\tdomDiff = this.createDiffDom(diffs);\n\tparent.insertBefore(domContainer,nextSibling);\n\t// Set variables\n\tthis.setVariable(\"diff-count\",diffs.reduce(function(acc,diff) {\n\t\tif(diff[0] !== dmp.DIFF_EQUAL) {\n\t\t\tacc++;\n\t\t}\n\t\treturn acc;\n\t},0).toString());\n\t// Render child widgets\n\tthis.renderChildren(domContainer,null);\n\t// Render the diff\n\tdomContainer.appendChild(domDiff);\n\t// Save our container\n\tthis.domNodes.push(domContainer);\n};\n\n/*\nCreate DOM elements representing a list of diffs\n*/\nDiffTextWidget.prototype.createDiffDom = function(diffs) {\n\tvar self = this;\n\t// Create the element and assign the attributes\n\tvar domPre = this.document.createElement(\"pre\"),\n\t\tdomCode = this.document.createElement(\"code\");\n\t$tw.utils.each(diffs,function(diff) {\n\t\tvar tag = diff[0] === dmp.DIFF_INSERT ? \"ins\" : (diff[0] === dmp.DIFF_DELETE ? \"del\" : \"span\"),\n\t\t\tclassName = diff[0] === dmp.DIFF_INSERT ? \"tc-diff-insert\" : (diff[0] === dmp.DIFF_DELETE ? \"tc-diff-delete\" : \"tc-diff-equal\"),\n\t\t\tdom = self.document.createElement(tag),\n\t\t\ttext = diff[1],\n\t\t\tcurrPos = 0,\n\t\t\tre = /([\\x00-\\x1F])/mg,\n\t\t\tmatch = re.exec(text),\n\t\t\tspan,\n\t\t\tprintable;\n\t\tdom.className = className;\n\t\twhile(match) {\n\t\t\tif(currPos < match.index) {\n\t\t\t\tdom.appendChild(self.document.createTextNode(text.slice(currPos,match.index)));\n\t\t\t}\n\t\t\tspan = self.document.createElement(\"span\");\n\t\t\tspan.className = \"tc-diff-invisible\";\n\t\t\tprintable = self.invisibleCharacters[match[0]] || (\"[0x\" + match[0].charCodeAt(0).toString(16) + \"]\");\n\t\t\tspan.appendChild(self.document.createTextNode(printable));\n\t\t\tdom.appendChild(span);\n\t\t\tcurrPos = match.index + match[0].length;\n\t\t\tmatch = re.exec(text);\n\t\t}\n\t\tif(currPos < text.length) {\n\t\t\tdom.appendChild(self.document.createTextNode(text.slice(currPos)));\n\t\t}\n\t\tdomCode.appendChild(dom);\n\t});\n\tdomPre.appendChild(domCode);\n\treturn domPre;\n};\n\n/*\nCompute the internal state of the widget\n*/\nDiffTextWidget.prototype.execute = function() {\n\t// Make child widgets\n\tvar parseTreeNodes;\n\tif(this.parseTreeNode && this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\tparseTreeNodes = this.parseTreeNode.children;\n\t} else {\n\t\tparseTreeNodes = [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: \"$:/language/Diffs/CountMessage\"}\n\t\t\t}\n\t\t}];\n\t}\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDiffTextWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.source || changedAttributes.dest || changedAttributes.cleanup) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports[\"diff-text\"] = DiffTextWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/draggable.js": {
            "title": "$:/core/modules/widgets/draggable.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/draggable.js\ntype: application/javascript\nmodule-type: widget\n\nDraggable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DraggableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDraggableWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDraggableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Sanitise the specified tag\n\tvar tag = this.draggableTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"div\";\n\t}\n\t// Create our element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = [\"tc-draggable\"];\n\tif(this.draggableClasses) {\n\t\tclasses.push(this.draggableClasses);\n\t}\n\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t// Add event handlers\n\t$tw.utils.makeDraggable({\n\t\tdomNode: domNode,\n\t\tdragTiddlerFn: function() {return self.getAttribute(\"tiddler\");},\n\t\tdragFilterFn: function() {return self.getAttribute(\"filter\");},\n\t\tstartActions: self.startActions,\n\t\tendActions: self.endActions,\n\t\twidget: this\n\t});\n\t// Insert the link into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nDraggableWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.draggableTag = this.getAttribute(\"tag\",\"div\");\n\tthis.draggableClasses = this.getAttribute(\"class\");\n\tthis.startActions = this.getAttribute(\"startactions\");\n\tthis.endActions = this.getAttribute(\"endactions\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDraggableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tag || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.draggable = DraggableWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/droppable.js": {
            "title": "$:/core/modules/widgets/droppable.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/droppable.js\ntype: application/javascript\nmodule-type: widget\n\nDroppable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DroppableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDroppableWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDroppableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.droppableTag && $tw.config.htmlUnsafeElements.indexOf(this.droppableTag) === -1) {\n\t\ttag = this.droppableTag;\n\t}\n\t// Create element and assign classes\n\tvar domNode = this.document.createElement(tag),\n\t\tclasses = (this[\"class\"] || \"\").split(\" \");\n\tclasses.push(\"tc-droppable\");\n\tdomNode.className = classes.join(\" \");\n\t// Add event handlers\n\tif(this.droppableEnable) {\n\t\t$tw.utils.addEventListeners(domNode,[\n\t\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"}\n\t\t]);\t\t\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\t// Stack of outstanding enter/leave events\n\tthis.currentlyEntered = [];\n};\n\nDroppableWidget.prototype.enterDrag = function(event) {\n\tif(this.currentlyEntered.indexOf(event.target) === -1) {\n\t\tthis.currentlyEntered.push(event.target);\n\t}\n\t// If we're entering for the first time we need to apply highlighting\n\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDroppableWidget.prototype.leaveDrag = function(event) {\n\tvar pos = this.currentlyEntered.indexOf(event.target);\n\tif(pos !== -1) {\n\t\tthis.currentlyEntered.splice(pos,1);\n\t}\n\t// Remove highlighting if we're leaving externally. The hacky second condition is to resolve a problem with Firefox whereby there is an erroneous dragenter event if the node being dragged is within the dropzone\n\tif(this.currentlyEntered.length === 0 || (this.currentlyEntered.length === 1 && this.currentlyEntered[0] === $tw.dragInProgress)) {\n\t\tthis.currentlyEntered = [];\n\t\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t}\n};\n\nDroppableWidget.prototype.handleDragEnterEvent  = function(event) {\n\tthis.enterDrag(event);\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDragOverEvent  = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\t// Set the drop effect\n\tevent.dataTransfer.dropEffect = this.droppableEffect;\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDragLeaveEvent  = function(event) {\n\tthis.leaveDrag(event);\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDropEvent  = function(event) {\n\tvar self = this;\n\tthis.leaveDrag(event);\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\tvar dataTransfer = event.dataTransfer;\n\t// Remove highlighting\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t// Try to import the various data types we understand\n\t$tw.utils.importDataTransfer(dataTransfer,null,function(fieldsArray) {\n\t\tfieldsArray.forEach(function(fields) {\n\t\t\tself.performActions(fields.title || fields.text,event);\n\t\t});\n\t});\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n\treturn false;\n};\n\nDroppableWidget.prototype.performActions = function(title,event) {\n\tif(this.droppableActions) {\n\t\tvar modifierKey = event.ctrlKey && ! event.shiftKey ? \"ctrl\" : event.shiftKey && !event.ctrlKey ? \"shift\" : \n\t\t\t\tevent.ctrlKey && event.shiftKey ? \"ctrl-shift\" : \"normal\" ;\n\t\tthis.invokeActionString(this.droppableActions,this,event,{actionTiddler: title, modifier: modifierKey});\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDroppableWidget.prototype.execute = function() {\n\tthis.droppableActions = this.getAttribute(\"actions\");\n\tthis.droppableEffect = this.getAttribute(\"effect\",\"copy\");\n\tthis.droppableTag = this.getAttribute(\"tag\");\n\tthis.droppableClass = this.getAttribute(\"class\");\n\tthis.droppableEnable = (this.getAttribute(\"enable\") || \"yes\") === \"yes\";\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDroppableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"class\"] || changedAttributes.tag || changedAttributes.enable) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.droppable = DroppableWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/dropzone.js": {
            "title": "$:/core/modules/widgets/dropzone.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/dropzone.js\ntype: application/javascript\nmodule-type: widget\n\nDropzone widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DropZoneWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDropZoneWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDropZoneWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"div\");\n\tdomNode.className = this.dropzoneClass || \"tc-dropzone\";\n\t// Add event handlers\n\tif(this.dropzoneEnable) {\n\t\t$tw.utils.addEventListeners(domNode,[\n\t\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"},\n\t\t\t{name: \"paste\", handlerObject: this, handlerMethod: \"handlePasteEvent\"},\n\t\t\t{name: \"dragend\", handlerObject: this, handlerMethod: \"handleDragEndEvent\"}\n\t\t]);\t\t\n\t}\n\tdomNode.addEventListener(\"click\",function (event) {\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\t// Stack of outstanding enter/leave events\n\tthis.currentlyEntered = [];\n};\n\nDropZoneWidget.prototype.enterDrag = function(event) {\n\tif(this.currentlyEntered.indexOf(event.target) === -1) {\n\t\tthis.currentlyEntered.push(event.target);\n\t}\n\t// If we're entering for the first time we need to apply highlighting\n\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDropZoneWidget.prototype.leaveDrag = function(event) {\n\tvar pos = this.currentlyEntered.indexOf(event.target);\n\tif(pos !== -1) {\n\t\tthis.currentlyEntered.splice(pos,1);\n\t}\n\t// Remove highlighting if we're leaving externally\n\tif(this.currentlyEntered.length === 0) {\n\t\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t}\n};\n\nDropZoneWidget.prototype.handleDragEnterEvent  = function(event) {\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tthis.enterDrag(event);\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handleDragOverEvent  = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\tevent.dataTransfer.dropEffect = \"copy\"; // Explicitly show this is a copy\n};\n\nDropZoneWidget.prototype.handleDragLeaveEvent  = function(event) {\n\tthis.leaveDrag(event);\n};\n\nDropZoneWidget.prototype.handleDragEndEvent = function(event) {\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDropZoneWidget.prototype.handleDropEvent  = function(event) {\n\tvar self = this,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t};\n\tthis.leaveDrag(event);\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tvar self = this,\n\t\tdataTransfer = event.dataTransfer;\n\t// Remove highlighting\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t// Import any files in the drop\n\tvar numFiles = 0;\n\tif(dataTransfer.files) {\n\t\tnumFiles = this.wiki.readFiles(dataTransfer.files,{\n\t\t\tcallback: readFileCallback,\n\t\t\tdeserializer: this.dropzoneDeserializer\n\t\t});\n\t}\n\t// Try to import the various data types we understand\n\tif(numFiles === 0) {\n\t\t$tw.utils.importDataTransfer(dataTransfer,this.wiki.generateNewTitle(\"Untitled\"),readFileCallback);\n\t}\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handlePasteEvent  = function(event) {\n\tvar self = this,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t};\n\t// Let the browser handle it if we're in a textarea or input box\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) == -1 && !event.target.isContentEditable) {\n\t\tvar self = this,\n\t\t\titems = event.clipboardData.items;\n\t\t// Enumerate the clipboard items\n\t\tfor(var t = 0; t<items.length; t++) {\n\t\t\tvar item = items[t];\n\t\t\tif(item.kind === \"file\") {\n\t\t\t\t// Import any files\n\t\t\t\tthis.wiki.readFile(item.getAsFile(),{\n\t\t\t\t\tcallback: readFileCallback,\n\t\t\t\t\tdeserializer: this.dropzoneDeserializer\n\t\t\t\t});\n\t\t\t} else if(item.kind === \"string\") {\n\t\t\t\t// Create tiddlers from string items\n\t\t\t\tvar type = item.type;\n\t\t\t\titem.getAsString(function(str) {\n\t\t\t\t\tvar tiddlerFields = {\n\t\t\t\t\t\ttitle: self.wiki.generateNewTitle(\"Untitled\"),\n\t\t\t\t\t\ttext: str,\n\t\t\t\t\t\ttype: type\n\t\t\t\t\t};\n\t\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\t\tconsole.log(\"Importing string '\" + str + \"', type: '\" + type + \"'\");\n\t\t\t\t\t}\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify([tiddlerFields])});\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\t\t// Tell the browser that we've handled the paste\n\t\tevent.stopPropagation();\n\t\tevent.preventDefault();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDropZoneWidget.prototype.execute = function() {\n\tthis.dropzoneClass = this.getAttribute(\"class\");\n\tthis.dropzoneDeserializer = this.getAttribute(\"deserializer\");\n\tthis.dropzoneEnable = (this.getAttribute(\"enable\") || \"yes\") === \"yes\";\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDropZoneWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.enable) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.dropzone = DropZoneWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/edit-binary.js": {
            "title": "$:/core/modules/widgets/edit-binary.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/edit-binary.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-binary widget; placeholder for editing binary tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar BINARY_WARNING_MESSAGE = \"$:/core/ui/BinaryWarning\";\nvar EXPORT_BUTTON_IMAGE = \"$:/core/images/export-button\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBinaryWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBinaryWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBinaryWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBinaryWidget.prototype.execute = function() {\n\t// Get our parameters\n\tvar editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tvar tiddler = this.wiki.getTiddler(editTitle);\n\tvar type = tiddler.fields.type;\n\tvar text = tiddler.fields.text;\n\t// Transclude the binary data tiddler warning message\n\tvar warn = {\n\t\ttype: \"element\",\n\t\ttag: \"p\",\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: BINARY_WARNING_MESSAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Create download link based on draft tiddler title\n\tvar link = {\n\t\ttype: \"element\",\n\t\ttag: \"a\",\n\t\tattributes: {\n\t\t\ttitle: {type: \"indirect\", textReference: \"!!draft.title\"},\n\t\t\tdownload: {type: \"indirect\", textReference: \"!!draft.title\"}\n\t\t},\n\t\tchildren: [{\n\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: EXPORT_BUTTON_IMAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Set the link href to internal data URI (no external)\n\tif(text) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: \"data:\" + type + \";base64,\" + text\n\t\t};\n\t}\n\t// Combine warning message and download link in a div\n\tvar element = {\n\t\ttype: \"element\",\n\t\ttag: \"div\",\n\t\tattributes: {\n\t\t\tclass: {type: \"string\", value: \"tc-binary-warning\"}\n\t\t},\n\t\tchildren: [warn, link]\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets([element]);\n};\n\n/*\nRefresh by refreshing our child widget\n*/\nEditBinaryWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"edit-binary\"] = EditBinaryWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/edit-bitmap.js": {
            "title": "$:/core/modules/widgets/edit-bitmap.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/edit-bitmap.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-bitmap widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Default image sizes\nvar DEFAULT_IMAGE_WIDTH = 600,\n\tDEFAULT_IMAGE_HEIGHT = 370,\n\tDEFAULT_IMAGE_TYPE = \"image/png\";\n\n// Configuration tiddlers\nvar LINE_WIDTH_TITLE = \"$:/config/BitmapEditor/LineWidth\",\n\tLINE_COLOUR_TITLE = \"$:/config/BitmapEditor/Colour\",\n\tLINE_OPACITY_TITLE = \"$:/config/BitmapEditor/Opacity\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBitmapWidget = function(parseTreeNode,options) {\n\t// Initialise the editor operations if they've not been done already\n\tif(!this.editorOperations) {\n\t\tEditBitmapWidget.prototype.editorOperations = {};\n\t\t$tw.modules.applyMethods(\"bitmapeditoroperation\",this.editorOperations);\n\t}\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBitmapWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBitmapWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create the wrapper for the toolbar and render its content\n\tthis.toolbarNode = this.document.createElement(\"div\");\n\tthis.toolbarNode.className = \"tc-editor-toolbar\";\n\tparent.insertBefore(this.toolbarNode,nextSibling);\n\tthis.domNodes.push(this.toolbarNode);\n\t// Create the on-screen canvas\n\tthis.canvasDomNode = $tw.utils.domMaker(\"canvas\",{\n\t\tdocument: this.document,\n\t\t\"class\":\"tc-edit-bitmapeditor\",\n\t\teventListeners: [{\n\t\t\tname: \"touchstart\", handlerObject: this, handlerMethod: \"handleTouchStartEvent\"\n\t\t},{\n\t\t\tname: \"touchmove\", handlerObject: this, handlerMethod: \"handleTouchMoveEvent\"\n\t\t},{\n\t\t\tname: \"touchend\", handlerObject: this, handlerMethod: \"handleTouchEndEvent\"\n\t\t},{\n\t\t\tname: \"mousedown\", handlerObject: this, handlerMethod: \"handleMouseDownEvent\"\n\t\t},{\n\t\t\tname: \"mousemove\", handlerObject: this, handlerMethod: \"handleMouseMoveEvent\"\n\t\t},{\n\t\t\tname: \"mouseup\", handlerObject: this, handlerMethod: \"handleMouseUpEvent\"\n\t\t}]\n\t});\n\t// Set the width and height variables\n\tthis.setVariable(\"tv-bitmap-editor-width\",this.canvasDomNode.width + \"px\");\n\tthis.setVariable(\"tv-bitmap-editor-height\",this.canvasDomNode.height + \"px\");\n\t// Render toolbar child widgets\n\tthis.renderChildren(this.toolbarNode,null);\n\t// // Insert the elements into the DOM\n\tparent.insertBefore(this.canvasDomNode,nextSibling);\n\tthis.domNodes.push(this.canvasDomNode);\n\t// Load the image into the canvas\n\tif($tw.browser) {\n\t\tthis.loadCanvas();\n\t}\n\t// Add widget message listeners\n\tthis.addEventListeners([\n\t\t{type: \"tm-edit-bitmap-operation\", handler: \"handleEditBitmapOperationMessage\"}\n\t]);\n};\n\n/*\nHandle an edit bitmap operation message from the toolbar\n*/\nEditBitmapWidget.prototype.handleEditBitmapOperationMessage = function(event) {\n\t// Invoke the handler\n\tvar handler = this.editorOperations[event.param];\n\tif(handler) {\n\t\thandler.call(this,event);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBitmapWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nJust refresh the toolbar\n*/\nEditBitmapWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nSet the bitmap size variables and refresh the toolbar\n*/\nEditBitmapWidget.prototype.refreshToolbar = function() {\n\t// Set the width and height variables\n\tthis.setVariable(\"tv-bitmap-editor-width\",this.canvasDomNode.width + \"px\");\n\tthis.setVariable(\"tv-bitmap-editor-height\",this.canvasDomNode.height + \"px\");\n\t// Refresh each of our child widgets\n\t$tw.utils.each(this.children,function(childWidget) {\n\t\tchildWidget.refreshSelf();\n\t});\n};\n\nEditBitmapWidget.prototype.loadCanvas = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle),\n\t\tcurrImage = new Image();\n\t// Set up event handlers for loading the image\n\tvar self = this;\n\tcurrImage.onload = function() {\n\t\t// Copy the image to the on-screen canvas\n\t\tself.initCanvas(self.canvasDomNode,currImage.width,currImage.height,currImage);\n\t\t// And also copy the current bitmap to the off-screen canvas\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,currImage.width,currImage.height,currImage);\n\t\t// Set the width and height input boxes\n\t\tself.refreshToolbar();\n\t};\n\tcurrImage.onerror = function() {\n\t\t// Set the on-screen canvas size and clear it\n\t\tself.initCanvas(self.canvasDomNode,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the off-screen canvas size and clear it\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the width and height input boxes\n\t\tself.refreshToolbar();\n\t};\n\t// Get the current bitmap into an image object\n\tif(tiddler && tiddler.fields.type && tiddler.fields.text) {\n\t\tcurrImage.src = \"data:\" + tiddler.fields.type + \";base64,\" + tiddler.fields.text;\t\t\n\t} else {\n\t\tcurrImage.width = DEFAULT_IMAGE_WIDTH;\n\t\tcurrImage.height = DEFAULT_IMAGE_HEIGHT;\n\t\tcurrImage.onerror();\n\t}\n};\n\nEditBitmapWidget.prototype.initCanvas = function(canvas,width,height,image) {\n\tcanvas.width = width;\n\tcanvas.height = height;\n\tvar ctx = canvas.getContext(\"2d\");\n\tif(image) {\n\t\tctx.drawImage(image,0,0);\n\t} else {\n\t\tctx.fillStyle = \"#fff\";\n\t\tctx.fillRect(0,0,canvas.width,canvas.height);\n\t}\n};\n\n/*\n** Change the size of the canvas, preserving the current image\n*/\nEditBitmapWidget.prototype.changeCanvasSize = function(newWidth,newHeight) {\n\t// Create and size a new canvas\n\tvar newCanvas = this.document.createElement(\"canvas\");\n\tthis.initCanvas(newCanvas,newWidth,newHeight);\n\t// Copy the old image\n\tvar ctx = newCanvas.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Set the new canvas as the current one\n\tthis.currCanvas = newCanvas;\n\t// Set the size of the onscreen canvas\n\tthis.canvasDomNode.width = newWidth;\n\tthis.canvasDomNode.height = newHeight;\n\t// Paint the onscreen canvas with the offscreen canvas\n\tctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n};\n\n/*\n** Rotate the canvas left by 90 degrees\n*/\nEditBitmapWidget.prototype.rotateCanvasLeft = function() {\n\t// Get the current size of the image\n\tvar origWidth = this.currCanvas.width,\n\t\torigHeight = this.currCanvas.height;\n\t// Create and size a new canvas\n\tvar newCanvas = this.document.createElement(\"canvas\"),\n\t\tnewWidth = origHeight,\n\t\tnewHeight = origWidth;\n\tthis.initCanvas(newCanvas,newWidth,newHeight);\n\t// Copy the old image\n\tvar ctx = newCanvas.getContext(\"2d\");\n\tctx.save();\n\tctx.translate(newWidth / 2,newHeight / 2);\n\tctx.rotate(-Math.PI / 2);\n\tctx.drawImage(this.currCanvas,-origWidth / 2,-origHeight / 2);\n\tctx.restore();\n\t// Set the new canvas as the current one\n\tthis.currCanvas = newCanvas;\n\t// Set the size of the onscreen canvas\n\tthis.canvasDomNode.width = newWidth;\n\tthis.canvasDomNode.height = newHeight;\n\t// Paint the onscreen canvas with the offscreen canvas\n\tctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n};\n\nEditBitmapWidget.prototype.handleTouchStartEvent = function(event) {\n\tthis.brushDown = true;\n\tthis.strokeStart(event.touches[0].clientX,event.touches[0].clientY);\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.touches[0].clientX,event.touches[0].clientY);\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchEndEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseDownEvent = function(event) {\n\tthis.strokeStart(event.clientX,event.clientY);\n\tthis.brushDown = true;\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.clientX,event.clientY);\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.handleMouseUpEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.adjustCoordinates = function(x,y) {\n\tvar canvasRect = this.canvasDomNode.getBoundingClientRect(),\n\t\tscale = this.canvasDomNode.width/canvasRect.width;\n\treturn {x: (x - canvasRect.left) * scale, y: (y - canvasRect.top) * scale};\n};\n\nEditBitmapWidget.prototype.strokeStart = function(x,y) {\n\t// Start off a new stroke\n\tthis.stroke = [this.adjustCoordinates(x,y)];\n};\n\nEditBitmapWidget.prototype.strokeMove = function(x,y) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\"),\n\t\tt;\n\t// Add the new position to the end of the stroke\n\tthis.stroke.push(this.adjustCoordinates(x,y));\n\t// Redraw the previous image\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Render the stroke\n\tctx.globalAlpha = parseFloat(this.wiki.getTiddlerText(LINE_OPACITY_TITLE,\"1.0\"));\n\tctx.strokeStyle = this.wiki.getTiddlerText(LINE_COLOUR_TITLE,\"#ff0\");\n\tctx.lineWidth = parseFloat(this.wiki.getTiddlerText(LINE_WIDTH_TITLE,\"3\"));\n\tctx.lineCap = \"round\";\n\tctx.lineJoin = \"round\";\n\tctx.beginPath();\n\tctx.moveTo(this.stroke[0].x,this.stroke[0].y);\n\tfor(t=1; t<this.stroke.length-1; t++) {\n\t\tvar s1 = this.stroke[t],\n\t\t\ts2 = this.stroke[t-1],\n\t\t\ttx = (s1.x + s2.x)/2,\n\t\t\tty = (s1.y + s2.y)/2;\n\t\tctx.quadraticCurveTo(s2.x,s2.y,tx,ty);\n\t}\n\tctx.stroke();\n};\n\nEditBitmapWidget.prototype.strokeEnd = function() {\n\t// Copy the bitmap to the off-screen canvas\n\tvar ctx = this.currCanvas.getContext(\"2d\");\n\tctx.drawImage(this.canvasDomNode,0,0);\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\nEditBitmapWidget.prototype.saveChanges = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle) || new $tw.Tiddler({title: this.editTitle,type: DEFAULT_IMAGE_TYPE});\n\t// data URIs look like \"data:<type>;base64,<text>\"\n\tvar dataURL = this.canvasDomNode.toDataURL(tiddler.fields.type),\n\t\tposColon = dataURL.indexOf(\":\"),\n\t\tposSemiColon = dataURL.indexOf(\";\"),\n\t\tposComma = dataURL.indexOf(\",\"),\n\t\ttype = dataURL.substring(posColon+1,posSemiColon),\n\t\ttext = dataURL.substring(posComma+1);\n\tvar update = {type: type, text: text};\n\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getModificationFields(),tiddler,update,this.wiki.getCreationFields()));\n};\n\nexports[\"edit-bitmap\"] = EditBitmapWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/edit-shortcut.js": {
            "title": "$:/core/modules/widgets/edit-shortcut.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/edit-shortcut.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to display an editable keyboard shortcut\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditShortcutWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditShortcutWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditShortcutWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.inputNode = this.document.createElement(\"input\");\n\t// Assign classes\n\tif(this.shortcutClass) {\n\t\tthis.inputNode.className = this.shortcutClass;\t\t\n\t}\n\t// Assign other attributes\n\tif(this.shortcutStyle) {\n\t\tthis.inputNode.setAttribute(\"style\",this.shortcutStyle);\n\t}\n\tif(this.shortcutTooltip) {\n\t\tthis.inputNode.setAttribute(\"title\",this.shortcutTooltip);\n\t}\n\tif(this.shortcutPlaceholder) {\n\t\tthis.inputNode.setAttribute(\"placeholder\",this.shortcutPlaceholder);\n\t}\n\tif(this.shortcutAriaLabel) {\n\t\tthis.inputNode.setAttribute(\"aria-label\",this.shortcutAriaLabel);\n\t}\n\t// Assign the current shortcut\n\tthis.updateInputNode();\n\t// Add event handlers\n\t$tw.utils.addEventListeners(this.inputNode,[\n\t\t{name: \"keydown\", handlerObject: this, handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Link into the DOM\n\tparent.insertBefore(this.inputNode,nextSibling);\n\tthis.domNodes.push(this.inputNode);\n\t// Focus the input Node if focus === \"yes\" or focus === \"true\"\n\tif(this.shortcutFocus === \"yes\" || this.shortcutFocus === \"true\") {\n\t\tthis.focus();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditShortcutWidget.prototype.execute = function() {\n\tthis.shortcutTiddler = this.getAttribute(\"tiddler\");\n\tthis.shortcutField = this.getAttribute(\"field\");\n\tthis.shortcutIndex = this.getAttribute(\"index\");\n\tthis.shortcutPlaceholder = this.getAttribute(\"placeholder\");\n\tthis.shortcutDefault = this.getAttribute(\"default\",\"\");\n\tthis.shortcutClass = this.getAttribute(\"class\");\n\tthis.shortcutStyle = this.getAttribute(\"style\");\n\tthis.shortcutTooltip = this.getAttribute(\"tooltip\");\n\tthis.shortcutAriaLabel = this.getAttribute(\"aria-label\");\n\tthis.shortcutFocus = this.getAttribute(\"focus\");\n};\n\n/*\nUpdate the value of the input node\n*/\nEditShortcutWidget.prototype.updateInputNode = function() {\n\tif(this.shortcutField) {\n\t\tvar tiddler = this.wiki.getTiddler(this.shortcutTiddler);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,this.shortcutField)) {\n\t\t\tthis.inputNode.value = tiddler.getFieldString(this.shortcutField);\n\t\t} else {\n\t\t\tthis.inputNode.value = this.shortcutDefault;\n\t\t}\n\t} else if(this.shortcutIndex) {\n\t\tthis.inputNode.value = this.wiki.extractTiddlerDataItem(this.shortcutTiddler,this.shortcutIndex,this.shortcutDefault);\n\t} else {\n\t\tthis.inputNode.value = this.wiki.getTiddlerText(this.shortcutTiddler,this.shortcutDefault);\n\t}\n};\n\n/*\nHandle a dom \"keydown\" event\n*/\nEditShortcutWidget.prototype.handleKeydownEvent = function(event) {\n\t// Ignore shift, ctrl, meta, alt\n\tif(event.keyCode && $tw.keyboardManager.getModifierKeys().indexOf(event.keyCode) === -1) {\n\t\t// Get the shortcut text representation\n\t\tvar value = $tw.keyboardManager.getPrintableShortcuts([{\n\t\t\tctrlKey: event.ctrlKey,\n\t\t\tshiftKey: event.shiftKey,\n\t\t\taltKey: event.altKey,\n\t\t\tmetaKey: event.metaKey,\n\t\t\tkeyCode: event.keyCode\n\t\t}]);\n\t\tif(value.length > 0) {\n\t\t\tthis.wiki.setText(this.shortcutTiddler,this.shortcutField,this.shortcutIndex,value[0]);\n\t\t}\n\t\t// Ignore the keydown if it was already handled\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn true;\t\t\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nfocus the input node\n*/\nEditShortcutWidget.prototype.focus = function() {\n\tif(this.inputNode.focus && this.inputNode.select) {\n\t\tthis.inputNode.focus();\n\t\tthis.inputNode.select();\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget needed re-rendering\n*/\nEditShortcutWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.placeholder || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.style || changedAttributes.tooltip || changedAttributes[\"aria-label\"] || changedAttributes.focus) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedTiddlers[this.shortcutTiddler]) {\n\t\tthis.updateInputNode();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports[\"edit-shortcut\"] = EditShortcutWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/edit-text.js": {
            "title": "$:/core/modules/widgets/edit-text.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/edit-text.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-text widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar editTextWidgetFactory = require(\"$:/core/modules/editor/factory.js\").editTextWidgetFactory,\n\tFramedEngine = require(\"$:/core/modules/editor/engines/framed.js\").FramedEngine,\n\tSimpleEngine = require(\"$:/core/modules/editor/engines/simple.js\").SimpleEngine;\n\nexports[\"edit-text\"] = editTextWidgetFactory(FramedEngine,SimpleEngine);\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/edit.js": {
            "title": "$:/core/modules/widgets/edit.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/edit.js\ntype: application/javascript\nmodule-type: widget\n\nEdit widget is a meta-widget chooses the appropriate actual editting widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n// Mappings from content type to editor type are stored in tiddlers with this prefix\nvar EDITOR_MAPPING_PREFIX = \"$:/config/EditorTypeMappings/\";\n\n/*\nCompute the internal state of the widget\n*/\nEditWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.editField = this.getAttribute(\"field\",\"text\");\n\tthis.editIndex = this.getAttribute(\"index\");\n\tthis.editClass = this.getAttribute(\"class\");\n\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\tthis.editTabIndex = this.getAttribute(\"tabindex\");\n\tthis.editFocus = this.getAttribute(\"focus\",\"\");\n\t// Choose the appropriate edit widget\n\tthis.editorType = this.getEditorType();\n\t// Make the child widgets\n\tthis.makeChildWidgets([{\n\t\ttype: \"edit-\" + this.editorType,\n\t\tattributes: {\n\t\t\ttiddler: {type: \"string\", value: this.editTitle},\n\t\t\tfield: {type: \"string\", value: this.editField},\n\t\t\tindex: {type: \"string\", value: this.editIndex},\n\t\t\t\"class\": {type: \"string\", value: this.editClass},\n\t\t\t\"placeholder\": {type: \"string\", value: this.editPlaceholder},\n\t\t\t\"tabindex\": {type: \"string\", value: this.editTabIndex},\n\t\t\t\"focus\": {type: \"string\", value: this.editFocus}\n\t\t},\n\t\tchildren: this.parseTreeNode.children\n\t}]);\n};\n\nEditWidget.prototype.getEditorType = function() {\n\t// Get the content type of the thing we're editing\n\tvar type;\n\tif(this.editField === \"text\") {\n\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\tif(tiddler) {\n\t\t\ttype = tiddler.fields.type;\n\t\t}\n\t}\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar editorType = this.wiki.getTiddlerText(EDITOR_MAPPING_PREFIX + type);\n\tif(!editorType) {\n\t\tvar typeInfo = $tw.config.contentTypeInfo[type];\n\t\tif(typeInfo && typeInfo.encoding === \"base64\") {\n\t\t\teditorType = \"binary\";\n\t\t} else {\n\t\t\teditorType = \"text\";\n\t\t}\n\t}\n\treturn editorType;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEditWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh if an attribute has changed, or the type associated with the target tiddler has changed\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.tabindex || (changedTiddlers[this.editTitle] && this.getEditorType() !== this.editorType)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.edit = EditWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/element.js": {
            "title": "$:/core/modules/widgets/element.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/element.js\ntype: application/javascript\nmodule-type: widget\n\nElement widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ElementWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nElementWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nElementWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Neuter blacklisted elements\n\tvar tag = this.parseTreeNode.tag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"safe-\" + tag;\n\t}\n\t// Adjust headings by the current base level\n\tvar headingLevel = [\"h1\",\"h2\",\"h3\",\"h4\",\"h5\",\"h6\"].indexOf(tag);\n\tif(headingLevel !== -1) {\n\t\tvar baseLevel = parseInt(this.getVariable(\"tv-adjust-heading-level\",\"0\"),10) || 0;\n\t\theadingLevel = Math.min(Math.max(headingLevel + 1 + baseLevel,1),6);\n\t\ttag = \"h\" + headingLevel;\n\t}\n\t// Create the DOM node\n\tvar domNode = this.document.createElementNS(this.namespace,tag);\n\tthis.assignAttributes(domNode,{excludeEventAttributes: true});\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nElementWidget.prototype.execute = function() {\n\t// Select the namespace for the tag\n\tvar tagNamespaces = {\n\t\t\tsvg: \"http://www.w3.org/2000/svg\",\n\t\t\tmath: \"http://www.w3.org/1998/Math/MathML\",\n\t\t\tbody: \"http://www.w3.org/1999/xhtml\"\n\t\t};\n\tthis.namespace = tagNamespaces[this.parseTreeNode.tag];\n\tif(this.namespace) {\n\t\tthis.setVariable(\"namespace\",this.namespace);\n\t} else {\n\t\tthis.namespace = this.getVariable(\"namespace\",{defaultValue: \"http://www.w3.org/1999/xhtml\"});\n\t}\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nElementWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\thasChangedAttributes = $tw.utils.count(changedAttributes) > 0;\n\tif(hasChangedAttributes) {\n\t\t// Update our attributes\n\t\tthis.assignAttributes(this.domNodes[0],{excludeEventAttributes: true});\n\t}\n\treturn this.refreshChildren(changedTiddlers) || hasChangedAttributes;\n};\n\nexports.element = ElementWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/encrypt.js": {
            "title": "$:/core/modules/widgets/encrypt.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/encrypt.js\ntype: application/javascript\nmodule-type: widget\n\nEncrypt widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EncryptWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEncryptWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEncryptWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.encryptedText);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEncryptWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\",\"[!is[system]]\");\n\t// Encrypt the filtered tiddlers\n\tvar tiddlers = this.wiki.filterTiddlers(this.filter),\n\t\tjson = {},\n\t\tself = this;\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title),\n\t\t\tjsonTiddler = {};\n\t\tfor(var f in tiddler.fields) {\n\t\t\tjsonTiddler[f] = tiddler.getFieldString(f);\n\t\t}\n\t\tjson[title] = jsonTiddler;\n\t});\n\tthis.encryptedText = $tw.utils.htmlEncode($tw.crypto.encrypt(JSON.stringify(json)));\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEncryptWidget.prototype.refresh = function(changedTiddlers) {\n\t// We don't need to worry about refreshing because the encrypt widget isn't for interactive use\n\treturn false;\n};\n\nexports.encrypt = EncryptWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/entity.js": {
            "title": "$:/core/modules/widgets/entity.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/entity.js\ntype: application/javascript\nmodule-type: widget\n\nHTML entity widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EntityWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEntityWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEntityWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tvar entityString = this.getAttribute(\"entity\",this.parseTreeNode.entity || \"\"),\n\t\ttextNode = this.document.createTextNode($tw.utils.entityDecode(entityString));\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEntityWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEntityWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.entity) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.entity = EntityWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/fieldmangler.js": {
            "title": "$:/core/modules/widgets/fieldmangler.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/fieldmangler.js\ntype: application/javascript\nmodule-type: widget\n\nField mangler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldManglerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-remove-field\", handler: \"handleRemoveFieldEvent\"},\n\t\t{type: \"tm-add-field\", handler: \"handleAddFieldEvent\"},\n\t\t{type: \"tm-remove-tag\", handler: \"handleRemoveTagEvent\"},\n\t\t{type: \"tm-add-tag\", handler: \"handleAddTagEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldManglerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldManglerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldManglerWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.mangleTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldManglerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nFieldManglerWidget.prototype.handleRemoveFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tdeletion = {};\n\tdeletion[event.param] = undefined;\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,deletion));\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleAddFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\taddition = this.wiki.getModificationFields(),\n\t\thadInvalidFieldName = false,\n\t\taddField = function(name,value) {\n\t\t\tvar trimmedName = name.toLowerCase().trim();\n\t\t\tif(!$tw.utils.isValidFieldName(trimmedName)) {\n\t\t\t\tif(!hadInvalidFieldName) {\n\t\t\t\t\talert($tw.language.getString(\n\t\t\t\t\t\t\"InvalidFieldName\",\n\t\t\t\t\t\t{variables:\n\t\t\t\t\t\t\t{fieldName: trimmedName}\n\t\t\t\t\t\t}\n\t\t\t\t\t));\n\t\t\t\t\thadInvalidFieldName = true;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif(!value && tiddler) {\n\t\t\t\t\tvalue = tiddler.fields[trimmedName];\n\t\t\t\t}\n\t\t\t\taddition[trimmedName] = value || \"\";\n\t\t\t}\n\t\t\treturn;\n\t\t};\n\taddition.title = this.mangleTitle;\n\tif(typeof event.param === \"string\") {\n\t\taddField(event.param,\"\");\n\t}\n\tif(typeof event.paramObject === \"object\") {\n\t\tfor(var name in event.paramObject) {\n\t\t\taddField(name,event.paramObject[name]);\n\t\t}\n\t}\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,addition));\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleRemoveTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tmodification = this.wiki.getModificationFields();\n\tif(tiddler && tiddler.fields.tags) {\n\t\tvar p = tiddler.fields.tags.indexOf(event.param);\n\t\tif(p !== -1) {\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\tmodification.tags.splice(p,1);\n\t\t\tif(modification.tags.length === 0) {\n\t\t\t\tmodification.tags = undefined;\n\t\t\t}\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\n\t\t}\n\t}\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleAddTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tmodification = this.wiki.getModificationFields();\n\tif(tiddler && typeof event.param === \"string\") {\n\t\tvar tag = event.param.trim();\n\t\tif(tag !== \"\") {\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\t$tw.utils.pushTop(modification.tags,tag);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\t\t\t\n\t\t}\n\t} else if(typeof event.param === \"string\" && event.param.trim() !== \"\" && this.mangleTitle.trim() !== \"\") {\n\t\tvar tag = [];\n\t\ttag.push(event.param.trim());\n\t\tthis.wiki.addTiddler(new $tw.Tiddler({title: this.mangleTitle, tags: tag},modification));\n\t}\n\treturn true;\n};\n\nexports.fieldmangler = FieldManglerWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/fields.js": {
            "title": "$:/core/modules/widgets/fields.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/fields.js\ntype: application/javascript\nmodule-type: widget\n\nFields widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldsWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldsWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldsWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.template = this.getAttribute(\"template\");\n\tthis.sort = this.getAttribute(\"sort\",\"yes\") === \"yes\";\n\tthis.sortReverse = this.getAttribute(\"sortReverse\",\"no\") === \"yes\";\n\tthis.exclude = this.getAttribute(\"exclude\");\n\tthis.include = this.getAttribute(\"include\",null);\n\tthis.stripTitlePrefix = this.getAttribute(\"stripTitlePrefix\",\"no\") === \"yes\";\n\t// Get the value to display\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\n\t// Get the inclusion and exclusion list\n\tvar excludeArr = (this.exclude) ? this.exclude.split(\" \") : [\"text\"];\n\t// Include takes precedence\n\tvar includeArr = (this.include) ? this.include.split(\" \") : null;\n\n\t// Compose the template\n\tvar text = [];\n\tif(this.template && tiddler) {\n\t\tvar fields = [];\n\t\tif (includeArr) { // Include takes precedence\n\t\t\tfor(var i=0; i<includeArr.length; i++) {\n\t\t\t\tif(tiddler.fields[includeArr[i]]) {\n\t\t\t\t\tfields.push(includeArr[i]);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tfor(var fieldName in tiddler.fields) {\n\t\t\t\tif(excludeArr.indexOf(fieldName) === -1) {\n\t\t\t\t\tfields.push(fieldName);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif (this.sort) fields.sort();\n\t\tif (this.sortReverse) fields.reverse();\n\t\tfor(var f=0, fmax=fields.length; f<fmax; f++) {\n\t\t\tfieldName = fields[f];\n\t\t\tvar row = this.template,\n\t\t\t\tvalue = tiddler.getFieldString(fieldName);\n\t\t\tif(this.stripTitlePrefix && fieldName === \"title\") {\n\t\t\t\tvar reStrip = /^\\{[^\\}]+\\}(.+)/mg,\n\t\t\t\t\treMatch = reStrip.exec(value);\n\t\t\t\tif(reMatch) {\n\t\t\t\t\tvalue = reMatch[1];\n\t\t\t\t}\n\t\t\t}\n\t\t\trow = $tw.utils.replaceString(row,\"$name$\",fieldName);\n\t\t\trow = $tw.utils.replaceString(row,\"$value$\",value);\n\t\t\trow = $tw.utils.replaceString(row,\"$encoded_value$\",$tw.utils.htmlEncode(value));\n\t\t\ttext.push(row);\n\t\t}\n\t}\n\tthis.text = text.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif( changedAttributes.tiddler || changedAttributes.template || changedAttributes.exclude ||\n\t\tchangedAttributes.include || changedAttributes.sort || changedAttributes.sortReverse ||\n\t\tchangedTiddlers[this.tiddlerTitle] || changedAttributes.stripTitlePrefix) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\nexports.fields = FieldsWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/image.js": {
            "title": "$:/core/modules/widgets/image.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/image.js\ntype: application/javascript\nmodule-type: widget\n\nThe image widget displays an image referenced with an external URI or with a local tiddler title.\n\n```\n<$image src=\"TiddlerTitle\" width=\"320\" height=\"400\" class=\"classnames\">\n```\n\nThe image source can be the title of an existing tiddler or the URL of an external image.\n\nExternal images always generate an HTML `<img>` tag.\n\nTiddlers that have a _canonical_uri field generate an HTML `<img>` tag with the src attribute containing the URI.\n\nTiddlers that contain image data generate an HTML `<img>` tag with the src attribute containing a base64 representation of the image.\n\nTiddlers that contain wikitext could be rendered to a DIV of the usual size of a tiddler, and then transformed to the size requested.\n\nThe width and height attributes are interpreted as a number of pixels, and do not need to include the \"px\" suffix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\t// Determine what type of image it is\n\tvar tag = \"img\", src = \"\",\n\t\ttiddler = this.wiki.getTiddler(this.imageSource);\n\tif(!tiddler) {\n\t\t// The source isn't the title of a tiddler, so we'll assume it's a URL\n\t\tsrc = this.getVariable(\"tv-get-export-image-link\",{params: [{name: \"src\",value: this.imageSource}],defaultValue: this.imageSource});\n\t} else {\n\t\t// Check if it is an image tiddler\n\t\tif(this.wiki.isImageTiddler(this.imageSource)) {\n\t\t\tvar type = tiddler.fields.type,\n\t\t\t\ttext = tiddler.fields.text,\n\t\t\t\t_canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t// If the tiddler has body text then it doesn't need to be lazily loaded\n\t\t\tif(text) {\n\t\t\t\t// Render the appropriate element for the image type\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = \"data:application/pdf;base64,\" + text;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = \"data:image/svg+xml,\" + encodeURIComponent(text);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = \"data:\" + type + \";base64,\" + text;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t} else if(_canonical_uri) {\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\t\n\t\t\t} else {\n\t\t\t\t// Just trigger loading of the tiddler\n\t\t\t\tthis.wiki.getTiddlerText(this.imageSource);\n\t\t\t}\n\t\t}\n\t}\n\t// Create the element and assign the attributes\n\tvar domNode = this.document.createElement(tag);\n\tdomNode.setAttribute(\"src\",src);\n\tif(this.imageClass) {\n\t\tdomNode.setAttribute(\"class\",this.imageClass);\t\t\n\t}\n\tif(this.imageWidth) {\n\t\tdomNode.setAttribute(\"width\",this.imageWidth);\n\t}\n\tif(this.imageHeight) {\n\t\tdomNode.setAttribute(\"height\",this.imageHeight);\n\t}\n\tif(this.imageTooltip) {\n\t\tdomNode.setAttribute(\"title\",this.imageTooltip);\t\t\n\t}\n\tif(this.imageAlt) {\n\t\tdomNode.setAttribute(\"alt\",this.imageAlt);\t\t\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImageWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.imageSource = this.getAttribute(\"source\");\n\tthis.imageWidth = this.getAttribute(\"width\");\n\tthis.imageHeight = this.getAttribute(\"height\");\n\tthis.imageClass = this.getAttribute(\"class\");\n\tthis.imageTooltip = this.getAttribute(\"tooltip\");\n\tthis.imageAlt = this.getAttribute(\"alt\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.source || changedAttributes.width || changedAttributes.height || changedAttributes[\"class\"] || changedAttributes.tooltip || changedTiddlers[this.imageSource]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\t\n\t}\n};\n\nexports.image = ImageWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/importvariables.js": {
            "title": "$:/core/modules/widgets/importvariables.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/importvariables.js\ntype: application/javascript\nmodule-type: widget\n\nImport variable definitions from other tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImportVariablesWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImportVariablesWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImportVariablesWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImportVariablesWidget.prototype.execute = function(tiddlerList) {\n\tvar widgetPointer = this;\n\t// Get our parameters\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Compute the filter\n\tthis.tiddlerList = tiddlerList || this.wiki.filterTiddlers(this.filter,this);\n\t// Accumulate the <$set> widgets from each tiddler\n\t$tw.utils.each(this.tiddlerList,function(title) {\n\t\tvar parser = widgetPointer.wiki.parseTiddler(title);\n\t\tif(parser) {\n\t\t\tvar parseTreeNode = parser.tree[0];\n\t\t\twhile(parseTreeNode && parseTreeNode.type === \"set\") {\n\t\t\t\tvar node = {\n\t\t\t\t\ttype: \"set\",\n\t\t\t\t\tattributes: parseTreeNode.attributes,\n\t\t\t\t\tparams: parseTreeNode.params,\n\t\t\t\t\tisMacroDefinition: parseTreeNode.isMacroDefinition\n\t\t\t\t};\n\t\t\t\tif (parseTreeNode.isMacroDefinition) {\n\t\t\t\t\t// Macro definitions can be folded into\n\t\t\t\t\t// current widget instead of adding\n\t\t\t\t\t// another link to the chain.\n\t\t\t\t\tvar widget = widgetPointer.makeChildWidget(node);\n\t\t\t\t\twidget.computeAttributes();\n\t\t\t\t\twidget.execute();\n\t\t\t\t\t// We SHALLOW copy over all variables\n\t\t\t\t\t// in widget. We can't use\n\t\t\t\t\t// $tw.utils.assign, because that copies\n\t\t\t\t\t// up the prototype chain, which we\n\t\t\t\t\t// don't want.\n\t\t\t\t\t$tw.utils.each(Object.keys(widget.variables), function(key) {\n\t\t\t\t\t\twidgetPointer.variables[key] = widget.variables[key];\n\t\t\t\t\t});\n\t\t\t\t} else {\n\t\t\t\t\twidgetPointer.makeChildWidgets([node]);\n\t\t\t\t\twidgetPointer = widgetPointer.children[0];\n\t\t\t\t}\n\t\t\t\tparseTreeNode = parseTreeNode.children && parseTreeNode.children[0];\n\t\t\t}\n\t\t} \n\t});\n\n\tif (widgetPointer != this) {\n\t\twidgetPointer.parseTreeNode.children = this.parseTreeNode.children;\n\t} else {\n\t\twidgetPointer.makeChildWidgets();\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImportVariablesWidget.prototype.refresh = function(changedTiddlers) {\n\t// Recompute our attributes and the filter list\n\tvar changedAttributes = this.computeAttributes(),\n\t\ttiddlerList = this.wiki.filterTiddlers(this.getAttribute(\"filter\"),this);\n\t// Refresh if the filter has changed, or the list of tiddlers has changed, or any of the tiddlers in the list has changed\n\tfunction haveListedTiddlersChanged() {\n\t\tvar changed = false;\n\t\ttiddlerList.forEach(function(title) {\n\t\t\tif(changedTiddlers[title]) {\n\t\t\t\tchanged = true;\n\t\t\t}\n\t\t});\n\t\treturn changed;\n\t}\n\tif(changedAttributes.filter || !$tw.utils.isArrayEqual(this.tiddlerList,tiddlerList) || haveListedTiddlersChanged()) {\n\t\t// Compute the filter\n\t\tthis.removeChildDomNodes();\n\t\tthis.execute(tiddlerList);\n\t\tthis.renderChildren(this.parentDomNode,this.findNextSiblingDomNode());\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.importvariables = ImportVariablesWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/keyboard.js": {
            "title": "$:/core/modules/widgets/keyboard.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/keyboard.js\ntype: application/javascript\nmodule-type: widget\n\nKeyboard shortcut widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar KeyboardWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nKeyboardWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nKeyboardWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.tag && $tw.config.htmlUnsafeElements.indexOf(this.tag) === -1) {\n\t\ttag = this.tag;\n\t}\n\t// Create element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = (this[\"class\"] || \"\").split(\" \");\n\tclasses.push(\"tc-keyboard\");\n\tdomNode.className = classes.join(\" \");\n\t// Add a keyboard event handler\n\tdomNode.addEventListener(\"keydown\",function (event) {\n\t\tif($tw.keyboardManager.checkKeyDescriptors(event,self.keyInfoArray)) {\n\t\t\tself.invokeActions(self,event);\n\t\t\tif(self.actions) {\n\t\t\t\tself.invokeActionString(self.actions,self,event);\n\t\t\t}\n\t\t\tself.dispatchMessage(event);\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nKeyboardWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\")});\n};\n\n/*\nCompute the internal state of the widget\n*/\nKeyboardWidget.prototype.execute = function() {\n\tvar self = this;\n\t// Get attributes\n\tthis.actions = this.getAttribute(\"actions\",\"\");\n\tthis.message = this.getAttribute(\"message\",\"\");\n\tthis.param = this.getAttribute(\"param\",\"\");\n\tthis.key = this.getAttribute(\"key\",\"\");\n\tthis.tag = this.getAttribute(\"tag\",\"\");\n\tthis.keyInfoArray = $tw.keyboardManager.parseKeyDescriptors(this.key);\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tif(this.key.substr(0,2) === \"((\" && this.key.substr(-2,2) === \"))\") {\n\t\tthis.shortcutTiddlers = [];\n\t\tvar name = this.key.substring(2,this.key.length -2);\n\t\t$tw.utils.each($tw.keyboardManager.lookupNames,function(platformDescriptor) {\n\t\t\tself.shortcutTiddlers.push(\"$:/config/\" + platformDescriptor + \"/\" + name);\n\t\t});\n\t}\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nKeyboardWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.message || changedAttributes.param || changedAttributes.key || changedAttributes[\"class\"] || changedAttributes.tag) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\t// Update the keyInfoArray if one of its shortcut-config-tiddlers has changed\n\tif(this.shortcutTiddlers && $tw.utils.hopArray(changedTiddlers,this.shortcutTiddlers)) {\n\t\tthis.keyInfoArray = $tw.keyboardManager.parseKeyDescriptors(this.key);\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.keyboard = KeyboardWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/link.js": {
            "title": "$:/core/modules/widgets/link.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/link.js\ntype: application/javascript\nmodule-type: widget\n\nLink widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the value of the tv-wikilinks configuration macro\n\tvar wikiLinksMacro = this.getVariable(\"tv-wikilinks\"),\n\t\tuseWikiLinks = wikiLinksMacro ? (wikiLinksMacro.trim() !== \"no\") : true,\n\t\tmissingLinksEnabled = !(this.hideMissingLinks && this.isMissing && !this.isShadow);\n\t// Render the link if required\n\tif(useWikiLinks && missingLinksEnabled) {\n\t\tthis.renderLink(parent,nextSibling);\n\t} else {\n\t\t// Just insert the link text\n\t\tvar domNode = this.document.createElement(\"span\");\n\t\tparent.insertBefore(domNode,nextSibling);\n\t\tthis.renderChildren(domNode,null);\n\t\tthis.domNodes.push(domNode);\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.renderLink = function(parent,nextSibling) {\n\tvar self = this;\n\t// Sanitise the specified tag\n\tvar tag = this.linkTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"a\";\n\t}\n\t// Create our element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = [];\n\tif(this.overrideClasses === undefined) {\n\t\tclasses.push(\"tc-tiddlylink\");\n\t\tif(this.isShadow) {\n\t\t\tclasses.push(\"tc-tiddlylink-shadow\");\n\t\t}\n\t\tif(this.isMissing && !this.isShadow) {\n\t\t\tclasses.push(\"tc-tiddlylink-missing\");\n\t\t} else {\n\t\t\tif(!this.isMissing) {\n\t\t\t\tclasses.push(\"tc-tiddlylink-resolves\");\n\t\t\t}\n\t\t}\n\t\tif(this.linkClasses) {\n\t\t\tclasses.push(this.linkClasses);\t\t\t\n\t\t}\n\t} else if(this.overrideClasses !== \"\") {\n\t\tclasses.push(this.overrideClasses)\n\t}\n\tif(classes.length > 0) {\n\t\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t}\n\t// Set an href\n\tvar wikilinkTransformFilter = this.getVariable(\"tv-filter-export-link\"),\n\t\twikiLinkText;\n\tif(wikilinkTransformFilter) {\n\t\t// Use the filter to construct the href\n\t\twikiLinkText = this.wiki.filterTiddlers(wikilinkTransformFilter,this,function(iterator) {\n\t\t\titerator(self.wiki.getTiddler(self.to),self.to)\n\t\t})[0];\n\t} else {\n\t\t// Expand the tv-wikilink-template variable to construct the href\n\t\tvar wikiLinkTemplateMacro = this.getVariable(\"tv-wikilink-template\"),\n\t\t\twikiLinkTemplate = wikiLinkTemplateMacro ? wikiLinkTemplateMacro.trim() : \"#$uri_encoded$\";\n\t\twikiLinkText = $tw.utils.replaceString(wikiLinkTemplate,\"$uri_encoded$\",encodeURIComponent(this.to));\n\t\twikiLinkText = $tw.utils.replaceString(wikiLinkText,\"$uri_doubleencoded$\",encodeURIComponent(encodeURIComponent(this.to)));\n\t}\n\t// Override with the value of tv-get-export-link if defined\n\twikiLinkText = this.getVariable(\"tv-get-export-link\",{params: [{name: \"to\",value: this.to}],defaultValue: wikiLinkText});\n\tif(tag === \"a\") {\n\t\tdomNode.setAttribute(\"href\",wikiLinkText);\n\t}\n\t// Set the tabindex\n\tif(this.tabIndex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.tabIndex);\n\t}\n\t// Set the tooltip\n\t// HACK: Performance issues with re-parsing the tooltip prevent us defaulting the tooltip to \"<$transclude field='tooltip'><$transclude field='title'/></$transclude>\"\n\tvar tooltipWikiText = this.tooltip || this.getVariable(\"tv-wikilink-tooltip\");\n\tif(tooltipWikiText) {\n\t\tvar tooltipText = this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",tooltipWikiText,{\n\t\t\t\tparseAsInline: true,\n\t\t\t\tvariables: {\n\t\t\t\t\tcurrentTiddler: this.to\n\t\t\t\t},\n\t\t\t\tparentWidget: this\n\t\t\t});\n\t\tdomNode.setAttribute(\"title\",tooltipText);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"click\", handlerObject: this, handlerMethod: \"handleClickEvent\"},\n\t]);\n\t// Make the link draggable if required\n\tif(this.draggable === \"yes\") {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.to;},\n\t\t\twidget: this\n\t\t});\n\t}\n\t// Insert the link into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nLinkWidget.prototype.handleClickEvent = function(event) {\n\t// Send the click on its way as a navigate event\n\tvar bounds = this.domNodes[0].getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1),\n\t\tmetaKey: event.metaKey,\n\t\tctrlKey: event.ctrlKey,\n\t\taltKey: event.altKey,\n\t\tshiftKey: event.shiftKey\n\t});\n\tif(this.domNodes[0].hasAttribute(\"href\")) {\n\t\tevent.preventDefault();\n\t}\n\tevent.stopPropagation();\n\treturn false;\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.to = this.getAttribute(\"to\",this.getVariable(\"currentTiddler\"));\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.linkClasses = this.getAttribute(\"class\");\n\tthis.overrideClasses = this.getAttribute(\"overrideClass\");\n\tthis.tabIndex = this.getAttribute(\"tabindex\");\n\tthis.draggable = this.getAttribute(\"draggable\",\"yes\");\n\tthis.linkTag = this.getAttribute(\"tag\",\"a\");\n\t// Determine the link characteristics\n\tthis.isMissing = !this.wiki.tiddlerExists(this.to);\n\tthis.isShadow = this.wiki.isShadowTiddler(this.to);\n\tthis.hideMissingLinks = (this.getVariable(\"tv-show-missing-links\") || \"yes\") === \"no\";\n\t// Make the child widgets\n\tvar templateTree;\n\tif(this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\ttemplateTree = this.parseTreeNode.children;\n\t} else {\n\t\t// Default template is a link to the title\n\t\ttemplateTree = [{type: \"text\", text: this.to}];\n\t}\n\tthis.makeChildWidgets(templateTree);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedTiddlers[this.to] || changedAttributes[\"aria-label\"] || changedAttributes.tooltip) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.link = LinkWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/linkcatcher.js": {
            "title": "$:/core/modules/widgets/linkcatcher.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/linkcatcher.js\ntype: application/javascript\nmodule-type: widget\n\nLinkcatcher widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkCatcherWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkCatcherWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkCatcherWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkCatcherWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.catchTo = this.getAttribute(\"to\");\n\tthis.catchMessage = this.getAttribute(\"message\");\n\tthis.catchSet = this.getAttribute(\"set\");\n\tthis.catchSetTo = this.getAttribute(\"setTo\");\n\tthis.catchActions = this.getAttribute(\"actions\");\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n\t// When executing actions we avoid trapping navigate events, so that we don't trigger ourselves recursively\n\tthis.executingActions = false;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkCatcherWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedAttributes.message || changedAttributes.set || changedAttributes.setTo) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\n/*\nHandle a tm-navigate event\n*/\nLinkCatcherWidget.prototype.handleNavigateEvent = function(event) {\n\tif(!this.executingActions) {\n\t\t// Execute the actions\n\t\tif(this.catchTo) {\n\t\t\tthis.wiki.setTextReference(this.catchTo,event.navigateTo,this.getVariable(\"currentTiddler\"));\n\t\t}\n\t\tif(this.catchMessage && this.parentWidget) {\n\t\t\tthis.parentWidget.dispatchEvent({\n\t\t\t\ttype: this.catchMessage,\n\t\t\t\tparam: event.navigateTo,\n\t\t\t\tnavigateTo: event.navigateTo\n\t\t\t});\n\t\t}\n\t\tif(this.catchSet) {\n\t\t\tvar tiddler = this.wiki.getTiddler(this.catchSet);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,{title: this.catchSet, text: this.catchSetTo}));\n\t\t}\n\t\tif(this.catchActions) {\n\t\t\tthis.executingActions = true;\n\t\t\tthis.invokeActionString(this.catchActions,this,event,{navigateTo: event.navigateTo});\n\t\t\tthis.executingActions = false;\n\t\t}\n\t} else {\n\t\t// This is a navigate event generated by the actions of this linkcatcher, so we don't trap it again, but just pass it to the parent\n\t\tthis.parentWidget.dispatchEvent({\n\t\t\ttype: \"tm-navigate\",\n\t\t\tparam: event.navigateTo,\n\t\t\tnavigateTo: event.navigateTo\n\t\t});\n\t}\n\treturn false;\n};\n\nexports.linkcatcher = LinkCatcherWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/list.js": {
            "title": "$:/core/modules/widgets/list.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/list.js\ntype: application/javascript\nmodule-type: widget\n\nList and list item widgets\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\n/*\nThe list widget creates list element sub-widgets that reach back into the list widget for their configuration\n*/\n\nvar ListWidget = function(parseTreeNode,options) {\n\t// Initialise the storyviews if they've not been done already\n\tif(!this.storyViews) {\n\t\tListWidget.prototype.storyViews = {};\n\t\t$tw.modules.applyMethods(\"storyview\",this.storyViews);\n\t}\n\t// Main initialisation inherited from widget.js\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n\t// Construct the storyview\n\tvar StoryView = this.storyViews[this.storyViewName];\n\tif(this.storyViewName && !StoryView) {\n\t\tStoryView = this.storyViews[\"classic\"];\n\t}\n\tif(StoryView && !this.document.isTiddlyWikiFakeDom) {\n\t\tthis.storyview = new StoryView(this);\n\t} else {\n\t\tthis.storyview = null;\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nListWidget.prototype.execute = function() {\n\t// Get our attributes\n\tthis.template = this.getAttribute(\"template\");\n\tthis.editTemplate = this.getAttribute(\"editTemplate\");\n\tthis.variableName = this.getAttribute(\"variable\",\"currentTiddler\");\n\tthis.storyViewName = this.getAttribute(\"storyview\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\t// Compose the list elements\n\tthis.list = this.getTiddlerList();\n\tvar members = [],\n\t\tself = this;\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\tmembers = this.getEmptyMessage();\n\t} else {\n\t\t$tw.utils.each(this.list,function(title,index) {\n\t\t\tmembers.push(self.makeItemTemplate(title));\n\t\t});\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(members);\n\t// Clear the last history\n\tthis.history = [];\n};\n\nListWidget.prototype.getTiddlerList = function() {\n\tvar defaultFilter = \"[!is[system]sort[title]]\";\n\treturn this.wiki.filterTiddlers(this.getAttribute(\"filter\",defaultFilter),this);\n};\n\nListWidget.prototype.getEmptyMessage = function() {\n\tvar emptyMessage = this.getAttribute(\"emptyMessage\",\"\"),\n\t\tparser = this.wiki.parseText(\"text/vnd.tiddlywiki\",emptyMessage,{parseAsInline: true});\n\tif(parser) {\n\t\treturn parser.tree;\n\t} else {\n\t\treturn [];\n\t}\n};\n\n/*\nCompose the template for a list item\n*/\nListWidget.prototype.makeItemTemplate = function(title) {\n\t// Check if the tiddler is a draft\n\tvar tiddler = this.wiki.getTiddler(title),\n\t\tisDraft = tiddler && tiddler.hasField(\"draft.of\"),\n\t\ttemplate = this.template,\n\t\ttemplateTree;\n\tif(isDraft && this.editTemplate) {\n\t\ttemplate = this.editTemplate;\n\t}\n\t// Compose the transclusion of the template\n\tif(template) {\n\t\ttemplateTree = [{type: \"transclude\", attributes: {tiddler: {type: \"string\", value: template}}}];\n\t} else {\n\t\tif(this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\t\ttemplateTree = this.parseTreeNode.children;\n\t\t} else {\n\t\t\t// Default template is a link to the title\n\t\t\ttemplateTree = [{type: \"element\", tag: this.parseTreeNode.isBlock ? \"div\" : \"span\", children: [{type: \"link\", attributes: {to: {type: \"string\", value: title}}, children: [\n\t\t\t\t\t{type: \"text\", text: title}\n\t\t\t]}]}];\n\t\t}\n\t}\n\t// Return the list item\n\treturn {type: \"listitem\", itemTitle: title, variableName: this.variableName, children: templateTree};\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tresult;\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshStart) {\n\t\tthis.storyview.refreshStart(changedTiddlers,changedAttributes);\n\t}\n\t// Completely refresh if any of our attributes have changed\n\tif(changedAttributes.filter || changedAttributes.template || changedAttributes.editTemplate || changedAttributes.emptyMessage || changedAttributes.storyview || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\tresult = true;\n\t} else {\n\t\t// Handle any changes to the list\n\t\tresult = this.handleListChanges(changedTiddlers);\n\t\t// Handle any changes to the history stack\n\t\tif(this.historyTitle && changedTiddlers[this.historyTitle]) {\n\t\t\tthis.handleHistoryChanges();\n\t\t}\n\t}\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshEnd) {\n\t\tthis.storyview.refreshEnd(changedTiddlers,changedAttributes);\n\t}\n\treturn result;\n};\n\n/*\nHandle any changes to the history list\n*/\nListWidget.prototype.handleHistoryChanges = function() {\n\t// Get the history data\n\tvar newHistory = this.wiki.getTiddlerDataCached(this.historyTitle,[]);\n\t// Ignore any entries of the history that match the previous history\n\tvar entry = 0;\n\twhile(entry < newHistory.length && entry < this.history.length && newHistory[entry].title === this.history[entry].title) {\n\t\tentry++;\n\t}\n\t// Navigate forwards to each of the new tiddlers\n\twhile(entry < newHistory.length) {\n\t\tif(this.storyview && this.storyview.navigateTo) {\n\t\t\tthis.storyview.navigateTo(newHistory[entry]);\n\t\t}\n\t\tentry++;\n\t}\n\t// Update the history\n\tthis.history = newHistory;\n};\n\n/*\nProcess any changes to the list\n*/\nListWidget.prototype.handleListChanges = function(changedTiddlers) {\n\t// Get the new list\n\tvar prevList = this.list;\n\tthis.list = this.getTiddlerList();\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\t// Check if it was empty before\n\t\tif(prevList.length === 0) {\n\t\t\t// If so, just refresh the empty message\n\t\t\treturn this.refreshChildren(changedTiddlers);\n\t\t} else {\n\t\t\t// Replace the previous content with the empty message\n\t\t\tfor(t=this.children.length-1; t>=0; t--) {\n\t\t\t\tthis.removeListItem(t);\n\t\t\t}\n\t\t\tvar nextSibling = this.findNextSiblingDomNode();\n\t\t\tthis.makeChildWidgets(this.getEmptyMessage());\n\t\t\tthis.renderChildren(this.parentDomNode,nextSibling);\n\t\t\treturn true;\n\t\t}\n\t} else {\n\t\t// If the list was empty then we need to remove the empty message\n\t\tif(prevList.length === 0) {\n\t\t\tthis.removeChildDomNodes();\n\t\t\tthis.children = [];\n\t\t}\n\t\t// Cycle through the list, inserting and removing list items as needed\n\t\tvar hasRefreshed = false;\n\t\tfor(var t=0; t<this.list.length; t++) {\n\t\t\tvar index = this.findListItem(t,this.list[t]);\n\t\t\tif(index === undefined) {\n\t\t\t\t// The list item must be inserted\n\t\t\t\tthis.insertListItem(t,this.list[t]);\n\t\t\t\thasRefreshed = true;\n\t\t\t} else {\n\t\t\t\t// There are intervening list items that must be removed\n\t\t\t\tfor(var n=index-1; n>=t; n--) {\n\t\t\t\t\tthis.removeListItem(n);\n\t\t\t\t\thasRefreshed = true;\n\t\t\t\t}\n\t\t\t\t// Refresh the item we're reusing\n\t\t\t\tvar refreshed = this.children[t].refresh(changedTiddlers);\n\t\t\t\thasRefreshed = hasRefreshed || refreshed;\n\t\t\t}\n\t\t}\n\t\t// Remove any left over items\n\t\tfor(t=this.children.length-1; t>=this.list.length; t--) {\n\t\t\tthis.removeListItem(t);\n\t\t\thasRefreshed = true;\n\t\t}\n\t\treturn hasRefreshed;\n\t}\n};\n\n/*\nFind the list item with a given title, starting from a specified position\n*/\nListWidget.prototype.findListItem = function(startIndex,title) {\n\twhile(startIndex < this.children.length) {\n\t\tif(this.children[startIndex].parseTreeNode.itemTitle === title) {\n\t\t\treturn startIndex;\n\t\t}\n\t\tstartIndex++;\n\t}\n\treturn undefined;\n};\n\n/*\nInsert a new list item at the specified index\n*/\nListWidget.prototype.insertListItem = function(index,title) {\n\t// Create, insert and render the new child widgets\n\tvar widget = this.makeChildWidget(this.makeItemTemplate(title));\n\twidget.parentDomNode = this.parentDomNode; // Hack to enable findNextSiblingDomNode() to work\n\tthis.children.splice(index,0,widget);\n\tvar nextSibling = widget.findNextSiblingDomNode();\n\twidget.render(this.parentDomNode,nextSibling);\n\t// Animate the insertion if required\n\tif(this.storyview && this.storyview.insert) {\n\t\tthis.storyview.insert(widget);\n\t}\n\treturn true;\n};\n\n/*\nRemove the specified list item\n*/\nListWidget.prototype.removeListItem = function(index) {\n\tvar widget = this.children[index];\n\t// Animate the removal if required\n\tif(this.storyview && this.storyview.remove) {\n\t\tthis.storyview.remove(widget);\n\t} else {\n\t\twidget.removeChildDomNodes();\n\t}\n\t// Remove the child widget\n\tthis.children.splice(index,1);\n};\n\nexports.list = ListWidget;\n\nvar ListItemWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListItemWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListItemWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nListItemWidget.prototype.execute = function() {\n\t// Set the current list item title\n\tthis.setVariable(this.parseTreeNode.variableName,this.parseTreeNode.itemTitle);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListItemWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.listitem = ListItemWidget;\n\n})();",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/macrocall.js": {
            "title": "$:/core/modules/widgets/macrocall.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/macrocall.js\ntype: application/javascript\nmodule-type: widget\n\nMacrocall widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar MacroCallWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nMacroCallWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nMacroCallWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nMacroCallWidget.prototype.execute = function() {\n\t// Get the parse type if specified\n\tthis.parseType = this.getAttribute(\"$type\",\"text/vnd.tiddlywiki\");\n\tthis.renderOutput = this.getAttribute(\"$output\",\"text/html\");\n\t// Merge together the parameters specified in the parse tree with the specified attributes\n\tvar params = this.parseTreeNode.params ? this.parseTreeNode.params.slice(0) : [];\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparams.push({name: name, value: attribute});\t\t\t\n\t\t}\n\t});\n\t// Get the macro value\n\tvar macroName = this.parseTreeNode.name || this.getAttribute(\"$name\"),\n\t\tvariableInfo = this.getVariableInfo(macroName,{params: params}),\n\t\ttext = variableInfo.text,\n\t\tparseTreeNodes;\n\t// Are we rendering to HTML?\n\tif(this.renderOutput === \"text/html\") {\n\t\t// If so we'll return the parsed macro\n\t\tvar parser = this.wiki.parseText(this.parseType,text,\n\t\t\t\t\t\t\t{parseAsInline: !this.parseTreeNode.isBlock});\n\t\tparseTreeNodes = parser ? parser.tree : [];\n\t\t// Wrap the parse tree in a vars widget assigning the parameters to variables named \"__paramname__\"\n\t\tvar attributes = {};\n\t\t$tw.utils.each(variableInfo.params,function(param) {\n\t\t\tvar name = \"__\" + param.name + \"__\";\n\t\t\tattributes[name] = {\n\t\t\t\tname: name,\n\t\t\t\ttype: \"string\",\n\t\t\t\tvalue: param.value\n\t\t\t};\n\t\t});\n\t\tparseTreeNodes = [{\n\t\t\ttype: \"vars\",\n\t\t\tattributes: attributes,\n\t\t\tchildren: parseTreeNodes\n\t\t}];\n\t} else {\n\t\t// Otherwise, we'll render the text\n\t\tvar plainText = this.wiki.renderText(\"text/plain\",this.parseType,text,{parentWidget: this});\n\t\tparseTreeNodes = [{type: \"text\", text: plainText}];\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nMacroCallWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\t// Rerender ourselves\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.macrocall = MacroCallWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/navigator.js": {
            "title": "$:/core/modules/widgets/navigator.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/navigator.js\ntype: application/javascript\nmodule-type: widget\n\nNavigator widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar IMPORT_TITLE = \"$:/Import\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigatorWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"},\n\t\t{type: \"tm-edit-tiddler\", handler: \"handleEditTiddlerEvent\"},\n\t\t{type: \"tm-delete-tiddler\", handler: \"handleDeleteTiddlerEvent\"},\n\t\t{type: \"tm-save-tiddler\", handler: \"handleSaveTiddlerEvent\"},\n\t\t{type: \"tm-cancel-tiddler\", handler: \"handleCancelTiddlerEvent\"},\n\t\t{type: \"tm-close-tiddler\", handler: \"handleCloseTiddlerEvent\"},\n\t\t{type: \"tm-close-all-tiddlers\", handler: \"handleCloseAllTiddlersEvent\"},\n\t\t{type: \"tm-close-other-tiddlers\", handler: \"handleCloseOtherTiddlersEvent\"},\n\t\t{type: \"tm-new-tiddler\", handler: \"handleNewTiddlerEvent\"},\n\t\t{type: \"tm-import-tiddlers\", handler: \"handleImportTiddlersEvent\"},\n\t\t{type: \"tm-perform-import\", handler: \"handlePerformImportEvent\"},\n\t\t{type: \"tm-fold-tiddler\", handler: \"handleFoldTiddlerEvent\"},\n\t\t{type: \"tm-fold-other-tiddlers\", handler: \"handleFoldOtherTiddlersEvent\"},\n\t\t{type: \"tm-fold-all-tiddlers\", handler: \"handleFoldAllTiddlersEvent\"},\n\t\t{type: \"tm-unfold-all-tiddlers\", handler: \"handleUnfoldAllTiddlersEvent\"},\n\t\t{type: \"tm-rename-tiddler\", handler: \"handleRenameTiddlerEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigatorWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigatorWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigatorWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.storyTitle = this.getAttribute(\"story\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\tthis.setVariable(\"tv-story-list\",this.storyTitle);\n\tthis.setVariable(\"tv-history-list\",this.historyTitle);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nNavigatorWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.story || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nNavigatorWidget.prototype.getStoryList = function() {\n\treturn this.storyTitle ? this.wiki.getTiddlerList(this.storyTitle) : null;\n};\n\nNavigatorWidget.prototype.saveStoryList = function(storyList) {\n\tif(this.storyTitle) {\n\t\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\t\t{title: this.storyTitle},\n\t\t\tstoryTiddler,\n\t\t\t{list: storyList}\n\t\t));\t\t\n\t}\n};\n\nNavigatorWidget.prototype.removeTitleFromStory = function(storyList,title) {\n\tif(storyList) {\n\t\tvar p = storyList.indexOf(title);\n\t\twhile(p !== -1) {\n\t\t\tstoryList.splice(p,1);\n\t\t\tp = storyList.indexOf(title);\n\t\t}\t\t\n\t}\n};\n\nNavigatorWidget.prototype.replaceFirstTitleInStory = function(storyList,oldTitle,newTitle) {\n\tif(storyList) {\n\t\tvar pos = storyList.indexOf(oldTitle);\n\t\tif(pos !== -1) {\n\t\t\tstoryList[pos] = newTitle;\n\t\t\tdo {\n\t\t\t\tpos = storyList.indexOf(oldTitle,pos + 1);\n\t\t\t\tif(pos !== -1) {\n\t\t\t\t\tstoryList.splice(pos,1);\n\t\t\t\t}\n\t\t\t} while(pos !== -1);\n\t\t} else {\n\t\t\tstoryList.splice(0,0,newTitle);\n\t\t}\t\t\n\t}\n};\n\nNavigatorWidget.prototype.addToStory = function(title,fromTitle) {\n\tif(this.storyTitle) {\n\t\tthis.wiki.addToStory(title,fromTitle,this.storyTitle,{\n\t\t\topenLinkFromInsideRiver: this.getAttribute(\"openLinkFromInsideRiver\",\"top\"),\n\t\t\topenLinkFromOutsideRiver: this.getAttribute(\"openLinkFromOutsideRiver\",\"top\")\n\t\t});\n\t}\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\n*/\nNavigatorWidget.prototype.addToHistory = function(title,fromPageRect) {\n\tthis.wiki.addToHistory(title,fromPageRect,this.historyTitle);\n};\n\n/*\nHandle a tm-navigate event\n*/\nNavigatorWidget.prototype.handleNavigateEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-navigating\",event);\n\tif(event.navigateTo) {\n\t\tthis.addToStory(event.navigateTo,event.navigateFromTitle);\n\t\tif(!event.navigateSuppressNavigation) {\n\t\t\tthis.addToHistory(event.navigateTo,event.navigateFromClientRect);\n\t\t}\n\t}\n\treturn false;\n};\n\n// Close a specified tiddler\nNavigatorWidget.prototype.handleCloseTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\tstoryList = this.getStoryList();\n\t// Look for tiddlers with this title to close\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\treturn false;\n};\n\n// Close all tiddlers\nNavigatorWidget.prototype.handleCloseAllTiddlersEvent = function(event) {\n\tthis.saveStoryList([]);\n\treturn false;\n};\n\n// Close other tiddlers\nNavigatorWidget.prototype.handleCloseOtherTiddlersEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle;\n\tthis.saveStoryList([title]);\n\treturn false;\n};\n\n// Place a tiddler in edit mode\nNavigatorWidget.prototype.handleEditTiddlerEvent = function(event) {\n\tvar editTiddler = $tw.hooks.invokeHook(\"th-editing-tiddler\",event);\n\tif(!editTiddler) {\n\t\treturn false;\n\t}\n\tvar self = this;\n\tfunction isUnmodifiedShadow(title) {\n\t\treturn self.wiki.isShadowTiddler(title) && !self.wiki.tiddlerExists(title);\n\t}\n\tfunction confirmEditShadow(title) {\n\t\treturn confirm($tw.language.getString(\n\t\t\t\"ConfirmEditShadowTiddler\",\n\t\t\t{variables:\n\t\t\t\t{title: title}\n\t\t\t}\n\t\t));\n\t}\n\tvar title = event.param || event.tiddlerTitle;\n\tif(isUnmodifiedShadow(title) && !confirmEditShadow(title)) {\n\t\treturn false;\n\t}\n\t// Replace the specified tiddler with a draft in edit mode\n\tvar draftTiddler = this.makeDraftTiddler(title);\n\t// Update the story and history if required\n\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\tvar draftTitle = draftTiddler.fields.title,\n\t\t\tstoryList = this.getStoryList();\n\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\tthis.saveStoryList(storyList);\n\t\treturn false;\n\t}\n};\n\n// Delete a tiddler\nNavigatorWidget.prototype.handleDeleteTiddlerEvent = function(event) {\n\t// Get the tiddler we're deleting\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList(),\n\t\toriginalTitle = tiddler ? tiddler.fields[\"draft.of\"] : \"\",\n\t\toriginalTiddler = originalTitle ? this.wiki.getTiddler(originalTitle) : undefined,\n\t\tconfirmationTitle;\n\tif(!tiddler) {\n\t\treturn false;\n\t}\n\t// Check if the tiddler we're deleting is in draft mode\n\tif(originalTitle) {\n\t\t// If so, we'll prompt for confirmation referencing the original tiddler\n\t\tconfirmationTitle = originalTitle;\n\t} else {\n\t\t// If not a draft, then prompt for confirmation referencing the specified tiddler\n\t\tconfirmationTitle = title;\n\t}\n\t// Seek confirmation\n\tif((this.wiki.getTiddler(originalTitle) || (tiddler.fields.text || \"\") !== \"\") && !confirm($tw.language.getString(\n\t\t\t\t\"ConfirmDeleteTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: confirmationTitle}\n\t\t\t\t}\n\t\t\t))) {\n\t\treturn false;\n\t}\n\t// Delete the original tiddler\n\tif(originalTitle) {\n\t\tif(originalTiddler) {\n\t\t\t$tw.hooks.invokeHook(\"th-deleting-tiddler\",originalTiddler);\n\t\t}\n\t\tthis.wiki.deleteTiddler(originalTitle);\n\t\tthis.removeTitleFromStory(storyList,originalTitle);\n\t}\n\t// Invoke the hook function and delete this tiddler\n\t$tw.hooks.invokeHook(\"th-deleting-tiddler\",tiddler);\n\tthis.wiki.deleteTiddler(title);\n\t// Remove the closed tiddler from the story\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\treturn false;\n};\n\n/*\nCreate/reuse the draft tiddler for a given title\n*/\nNavigatorWidget.prototype.makeDraftTiddler = function(targetTitle) {\n\t// See if there is already a draft tiddler for this tiddler\n\tvar draftTitle = this.wiki.findDraft(targetTitle);\n\tif(draftTitle) {\n\t\treturn this.wiki.getTiddler(draftTitle);\n\t}\n\t// Get the current value of the tiddler we're editing\n\tvar tiddler = this.wiki.getTiddler(targetTitle);\n\t// Save the initial value of the draft tiddler\n\tdraftTitle = this.generateDraftTitle(targetTitle);\n\tvar draftTiddler = new $tw.Tiddler(\n\t\t\ttiddler,\n\t\t\t{\n\t\t\t\ttitle: draftTitle,\n\t\t\t\t\"draft.title\": targetTitle,\n\t\t\t\t\"draft.of\": targetTitle\n\t\t\t},\n\t\t\tthis.wiki.getModificationFields()\n\t\t);\n\tthis.wiki.addTiddler(draftTiddler);\n\treturn draftTiddler;\n};\n\n/*\nGenerate a title for the draft of a given tiddler\n*/\nNavigatorWidget.prototype.generateDraftTitle = function(title) {\n\treturn this.wiki.generateDraftTitle(title);\n};\n\n// Take a tiddler out of edit mode, saving the changes\nNavigatorWidget.prototype.handleSaveTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList();\n\t// Replace the original tiddler with the draft\n\tif(tiddler) {\n\t\tvar draftTitle = (tiddler.fields[\"draft.title\"] || \"\").trim(),\n\t\t\tdraftOf = (tiddler.fields[\"draft.of\"] || \"\").trim();\n\t\tif(draftTitle) {\n\t\t\tvar isRename = draftOf !== draftTitle,\n\t\t\t\tisConfirmed = true;\n\t\t\tif(isRename && this.wiki.tiddlerExists(draftTitle)) {\n\t\t\t\tisConfirmed = confirm($tw.language.getString(\n\t\t\t\t\t\"ConfirmOverwriteTiddler\",\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{title: draftTitle}\n\t\t\t\t\t}\n\t\t\t\t));\n\t\t\t}\n\t\t\tif(isConfirmed) {\n\t\t\t\t// Create the new tiddler and pass it through the th-saving-tiddler hook\n\t\t\t\tvar newTiddler = new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\ttitle: draftTitle,\n\t\t\t\t\t\"draft.title\": undefined,\n\t\t\t\t\t\"draft.of\": undefined\n\t\t\t\t},this.wiki.getModificationFields());\n\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-saving-tiddler\",newTiddler);\n\t\t\t\tthis.wiki.addTiddler(newTiddler);\n\t\t\t\t// If enabled, relink references to renamed tiddler\n\t\t\t\tvar shouldRelink = this.getAttribute(\"relinkOnRename\",\"no\").toLowerCase().trim() === \"yes\";\n\t\t\t\tif(isRename && shouldRelink && this.wiki.tiddlerExists(draftOf)) {\nconsole.log(\"Relinking '\" + draftOf + \"' to '\" + draftTitle + \"'\");\n\t\t\t\t\tthis.wiki.relinkTiddler(draftOf,draftTitle);\n\t\t\t\t}\n\t\t\t\t// Remove the draft tiddler\n\t\t\t\tthis.wiki.deleteTiddler(title);\n\t\t\t\t// Remove the original tiddler if we're renaming it\n\t\t\t\tif(isRename) {\n\t\t\t\t\tthis.wiki.deleteTiddler(draftOf);\n\t\t\t\t}\n\t\t\t\t// #2381 always remove new title & old\n\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\tthis.removeTitleFromStory(storyList,draftOf);\n\t\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\t\t// Replace the draft in the story with the original\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\t\t\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\t\t\t\tif(draftTitle !== this.storyTitle) {\n\t\t\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Trigger an autosave\n\t\t\t\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Take a tiddler out of edit mode without saving the changes\nNavigatorWidget.prototype.handleCancelTiddlerEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-cancelling-tiddler\", event);\n\t// Flip the specified tiddler from draft back to the original\n\tvar draftTitle = event.param || event.tiddlerTitle,\n\t\tdraftTiddler = this.wiki.getTiddler(draftTitle),\n\t\toriginalTitle = draftTiddler && draftTiddler.fields[\"draft.of\"];\n\tif(draftTiddler && originalTitle) {\n\t\t// Ask for confirmation if the tiddler text has changed\n\t\tvar isConfirmed = true,\n\t\t\toriginalTiddler = this.wiki.getTiddler(originalTitle),\n\t\t\tstoryList = this.getStoryList();\n\t\tif(this.wiki.isDraftModified(draftTitle)) {\n\t\t\tisConfirmed = confirm($tw.language.getString(\n\t\t\t\t\"ConfirmCancelTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: draftTitle}\n\t\t\t\t}\n\t\t\t));\n\t\t}\n\t\t// Remove the draft tiddler\n\t\tif(isConfirmed) {\n\t\t\tthis.wiki.deleteTiddler(draftTitle);\n\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\tif(originalTiddler) {\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,draftTitle,originalTitle);\n\t\t\t\t\tthis.addToHistory(originalTitle,event.navigateFromClientRect);\n\t\t\t\t} else {\n\t\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\t}\n\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Create a new draft tiddler\n// event.param can either be the title of a template tiddler, or a hashmap of fields.\n//\n// The title of the newly created tiddler follows these rules:\n// * If a hashmap was used and a title field was specified, use that title\n// * If a hashmap was used without a title field, use a default title, if necessary making it unique with a numeric suffix\n// * If a template tiddler was used, use the title of the template, if necessary making it unique with a numeric suffix\n//\n// If a draft of the target tiddler already exists then it is reused\nNavigatorWidget.prototype.handleNewTiddlerEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-new-tiddler\", event);\n\t// Get the story details\n\tvar storyList = this.getStoryList(),\n\t\ttemplateTiddler, additionalFields, title, draftTitle, existingTiddler;\n\t// Get the template tiddler (if any)\n\tif(typeof event.param === \"string\") {\n\t\t// Get the template tiddler\n\t\ttemplateTiddler = this.wiki.getTiddler(event.param);\n\t\t// Generate a new title\n\t\ttitle = this.wiki.generateNewTitle(event.param || $tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t}\n\t// Get the specified additional fields\n\tif(typeof event.paramObject === \"object\") {\n\t\tadditionalFields = event.paramObject;\n\t}\n\tif(typeof event.param === \"object\") { // Backwards compatibility with 5.1.3\n\t\tadditionalFields = event.param;\n\t}\n\tif(additionalFields && additionalFields.title) {\n\t\ttitle = additionalFields.title;\n\t}\n\t// Make a copy of the additional fields excluding any blank ones\n\tvar filteredAdditionalFields = $tw.utils.extend({},additionalFields);\n\tObject.keys(filteredAdditionalFields).forEach(function(fieldName) {\n\t\tif(filteredAdditionalFields[fieldName] === \"\") {\n\t\t\tdelete filteredAdditionalFields[fieldName];\n\t\t}\n\t});\n\t// Generate a title if we don't have one\n\ttitle = title || this.wiki.generateNewTitle($tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t// Find any existing draft for this tiddler\n\tdraftTitle = this.wiki.findDraft(title);\n\t// Pull in any existing tiddler\n\tif(draftTitle) {\n\t\texistingTiddler = this.wiki.getTiddler(draftTitle);\n\t} else {\n\t\tdraftTitle = this.generateDraftTitle(title);\n\t\texistingTiddler = this.wiki.getTiddler(title);\n\t}\n\t// Merge the tags\n\tvar mergedTags = [];\n\tif(existingTiddler && existingTiddler.fields.tags) {\n\t\t$tw.utils.pushTop(mergedTags,existingTiddler.fields.tags);\n\t}\n\tif(additionalFields && additionalFields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,$tw.utils.parseStringArray(additionalFields.tags));\n\t}\n\tif(templateTiddler && templateTiddler.fields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,templateTiddler.fields.tags);\n\t}\n\t// Save the draft tiddler\n\tvar draftTiddler = new $tw.Tiddler({\n\t\t\ttext: \"\",\n\t\t\t\"draft.title\": title\n\t\t},\n\t\ttemplateTiddler,\n\t\tadditionalFields,\n\t\tthis.wiki.getCreationFields(),\n\t\texistingTiddler,\n\t\tfilteredAdditionalFields,\n\t\t{\n\t\t\ttitle: draftTitle,\n\t\t\t\"draft.of\": title,\n\t\t\ttags: mergedTags\n\t\t},this.wiki.getModificationFields());\n\tthis.wiki.addTiddler(draftTiddler);\n\t// Update the story to insert the new draft at the top and remove any existing tiddler\n\tif(storyList && storyList.indexOf(draftTitle) === -1) {\n\t\tvar slot = storyList.indexOf(event.navigateFromTitle);\n\t\tif(slot === -1) {\n\t\t\tslot = this.getAttribute(\"openLinkFromOutsideRiver\",\"top\") === \"bottom\" ? storyList.length - 1 : slot;\n\t\t}\n\t\tstoryList.splice(slot + 1,0,draftTitle);\n\t}\n\tif(storyList && storyList.indexOf(title) !== -1) {\n\t\tstoryList.splice(storyList.indexOf(title),1);\n\t}\n\tthis.saveStoryList(storyList);\n\t// Add a new record to the top of the history stack\n\tthis.addToHistory(draftTitle);\n\treturn false;\n};\n\n// Import JSON tiddlers into a pending import tiddler\nNavigatorWidget.prototype.handleImportTiddlersEvent = function(event) {\n\t// Get the tiddlers\n\tvar tiddlers = [];\n\ttry {\n\t\ttiddlers = JSON.parse(event.param);\n\t} catch(e) {\n\t}\n\t// Get the current $:/Import tiddler\n\tvar importTiddler = this.wiki.getTiddler(IMPORT_TITLE),\n\t\timportData = this.wiki.getTiddlerData(IMPORT_TITLE,{}),\n\t\tnewFields = new Object({\n\t\t\ttitle: IMPORT_TITLE,\n\t\t\ttype: \"application/json\",\n\t\t\t\"plugin-type\": \"import\",\n\t\t\t\"status\": \"pending\"\n\t\t}),\n\t\tincomingTiddlers = [];\n\t// Process each tiddler\n\timportData.tiddlers = importData.tiddlers || {};\n\t$tw.utils.each(tiddlers,function(tiddlerFields) {\n\t\ttiddlerFields.title = $tw.utils.trim(tiddlerFields.title);\n\t\tvar title = tiddlerFields.title;\n\t\tif(title) {\n\t\t\tincomingTiddlers.push(title);\n\t\t\timportData.tiddlers[title] = tiddlerFields;\n\t\t}\n\t});\n\t// Give the active upgrader modules a chance to process the incoming tiddlers\n\tvar messages = this.wiki.invokeUpgraders(incomingTiddlers,importData.tiddlers);\n\t$tw.utils.each(messages,function(message,title) {\n\t\tnewFields[\"message-\" + title] = message;\n\t});\n\t// Deselect any suppressed tiddlers\n\t$tw.utils.each(importData.tiddlers,function(tiddler,title) {\n\t\tif($tw.utils.count(tiddler) === 0) {\n\t\t\tnewFields[\"selection-\" + title] = \"unchecked\";\n\t\t}\n\t});\n\t// Save the $:/Import tiddler\n\tnewFields.text = JSON.stringify(importData,null,$tw.config.preferences.jsonSpaces);\n\tthis.wiki.addTiddler(new $tw.Tiddler(importTiddler,newFields));\n\t// Update the story and history details\n\tif(this.getVariable(\"tv-auto-open-on-import\") !== \"no\") {\n\t\tvar storyList = this.getStoryList(),\n\t\t\thistory = [];\n\t\t// Add it to the story\n\t\tif(storyList && storyList.indexOf(IMPORT_TITLE) === -1) {\n\t\t\tstoryList.unshift(IMPORT_TITLE);\n\t\t}\n\t\t// And to history\n\t\thistory.push(IMPORT_TITLE);\n\t\t// Save the updated story and history\n\t\tthis.saveStoryList(storyList);\n\t\tthis.addToHistory(history);\n\t}\n\treturn false;\n};\n\n//\nNavigatorWidget.prototype.handlePerformImportEvent = function(event) {\n\tvar self = this,\n\t\timportTiddler = this.wiki.getTiddler(event.param),\n\t\timportData = this.wiki.getTiddlerDataCached(event.param,{tiddlers: {}}),\n\t\timportReport = [];\n\t// Add the tiddlers to the store\n\timportReport.push($tw.language.getString(\"Import/Imported/Hint\") + \"\\n\");\n\t$tw.utils.each(importData.tiddlers,function(tiddlerFields) {\n\t\tvar title = tiddlerFields.title;\n\t\tif(title && importTiddler && importTiddler.fields[\"selection-\" + title] !== \"unchecked\") {\n\t\t\tvar tiddler = new $tw.Tiddler(tiddlerFields);\n\t\t\ttiddler = $tw.hooks.invokeHook(\"th-importing-tiddler\",tiddler);\n\t\t\tself.wiki.addTiddler(tiddler);\n\t\t\timportReport.push(\"# [[\" + tiddlerFields.title + \"]]\");\n\t\t}\n\t});\n\t// Replace the $:/Import tiddler with an import report\n\tthis.wiki.addTiddler(new $tw.Tiddler({\n\t\ttitle: event.param,\n\t\ttext: importReport.join(\"\\n\"),\n\t\t\"status\": \"complete\"\n\t}));\n\t// Navigate to the $:/Import tiddler\n\tthis.addToHistory([event.param]);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n};\n\nNavigatorWidget.prototype.handleFoldTiddlerEvent = function(event) {\n\tvar paramObject = event.paramObject || {};\n\tif(paramObject.foldedState) {\n\t\tvar foldedState = this.wiki.getTiddlerText(paramObject.foldedState,\"show\") === \"show\" ? \"hide\" : \"show\";\n\t\tthis.wiki.setText(paramObject.foldedState,\"text\",null,foldedState);\n\t}\n};\n\nNavigatorWidget.prototype.handleFoldOtherTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,event.param === title ? \"show\" : \"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleFoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix || \"$:/state/folded/\";\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleUnfoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"show\");\n\t});\n};\n\nNavigatorWidget.prototype.handleRenameTiddlerEvent = function(event) {\n\tvar paramObject = event.paramObject || {},\n\t\tfrom = paramObject.from || event.tiddlerTitle,\n\t\tto = paramObject.to;\n\tthis.wiki.renameTiddler(from,to);\n};\n\nexports.navigator = NavigatorWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/password.js": {
            "title": "$:/core/modules/widgets/password.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/password.js\ntype: application/javascript\nmodule-type: widget\n\nPassword widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar PasswordWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nPasswordWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nPasswordWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the current password\n\tvar password = $tw.browser ? $tw.utils.getPassword(this.passwordName) || \"\" : \"\";\n\t// Create our element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"password\");\n\tdomNode.setAttribute(\"value\",password);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nPasswordWidget.prototype.handleChangeEvent = function(event) {\n\tvar password = this.domNodes[0].value;\n\treturn $tw.utils.savePassword(this.passwordName,password);\n};\n\n/*\nCompute the internal state of the widget\n*/\nPasswordWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.passwordName = this.getAttribute(\"name\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nPasswordWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.password = PasswordWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/qualify.js": {
            "title": "$:/core/modules/widgets/qualify.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/qualify.js\ntype: application/javascript\nmodule-type: widget\n\nQualify text to a variable \n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar QualifyWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nQualifyWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nQualifyWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nQualifyWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.qualifyName = this.getAttribute(\"name\");\n\tthis.qualifyTitle = this.getAttribute(\"title\");\n\t// Set context variable\n\tif(this.qualifyName) {\n\t\tthis.setVariable(this.qualifyName,this.qualifyTitle + \"-\" + this.getStateQualifier());\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nQualifyWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name || changedAttributes.title) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.qualify = QualifyWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/radio.js": {
            "title": "$:/core/modules/widgets/radio.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/radio.js\ntype: application/javascript\nmodule-type: widget\n\nSet a field or index at a given tiddler via radio buttons\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RadioWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRadioWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRadioWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\tvar isChecked = this.getValue() === this.radioValue;\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",\n   \t\t\"tc-radio \" + this.radioClass + (isChecked ? \" tc-radio-selected\" : \"\")\n  \t);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"radio\");\n\tif(isChecked) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nRadioWidget.prototype.getValue = function() {\n\tvar value,\n\t\ttiddler = this.wiki.getTiddler(this.radioTitle);\n\tif (this.radioIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.radioTitle,this.radioIndex);\n\t} else {\n\t\tvalue = tiddler && tiddler.getFieldString(this.radioField);\n\t}\n\treturn value;\n};\n\nRadioWidget.prototype.setValue = function() {\n\tif(this.radioIndex) {\n\t\tthis.wiki.setText(this.radioTitle,\"\",this.radioIndex,this.radioValue);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.radioTitle),\n\t\t\taddition = {};\n\t\taddition[this.radioField] = this.radioValue;\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),{title: this.radioTitle},tiddler,addition,this.wiki.getModificationFields()));\n\t}\n};\n\nRadioWidget.prototype.handleChangeEvent = function(event) {\n\tif(this.inputDomNode.checked) {\n\t\tthis.setValue();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRadioWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.radioTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.radioField = this.getAttribute(\"field\",\"text\");\n\tthis.radioIndex = this.getAttribute(\"index\");\n\tthis.radioValue = this.getAttribute(\"value\");\n\tthis.radioClass = this.getAttribute(\"class\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRadioWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.value || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.radioTitle]) {\n\t\t\tthis.inputDomNode.checked = this.getValue() === this.radioValue;\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.radio = RadioWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/range.js": {
            "title": "$:/core/modules/widgets/range.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/range.js\ntype: application/javascript\nmodule-type: widget\n\nRange widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RangeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRangeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRangeWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"range\");\n\tthis.inputDomNode.setAttribute(\"class\",this.elementClass);\n\tif(this.minValue){\n\t\tthis.inputDomNode.setAttribute(\"min\", this.minValue);\n\t}\n\tif(this.maxValue){\n\t\tthis.inputDomNode.setAttribute(\"max\", this.maxValue);\n\t}\n\tif(this.increment){\n\t\tthis.inputDomNode.setAttribute(\"step\", this.increment);\n\t}\n\tthis.inputDomNode.value = this.getValue();\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"},\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\t\t\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.inputDomNode,nextSibling);\n\tthis.domNodes.push(this.inputDomNode);\n};\n\nRangeWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle),\n\t\tfieldName = this.tiddlerField || \"text\",\n\t\tvalue   = this.defaultValue;\n\tif(tiddler) {\n\t\tif(this.tiddlerIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(tiddler,this.tiddlerIndex,this.defaultValue || \"\");\n\t\t} else {\n\t\t\tif($tw.utils.hop(tiddler.fields,fieldName)) {\n\t\t\t\tvalue = tiddler.fields[fieldName] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = this.defaultValue || \"\";\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n\nRangeWidget.prototype.handleInputEvent = function(event) {\n\tif(this.getValue() !== this.inputDomNode.value) {\n\t\tif(this.tiddlerIndex) {\n\t\t\tthis.wiki.setText(this.tiddlerTitle,\"\",this.tiddlerIndex,this.inputDomNode.value);\n\t\t} else {\n\t\t\tthis.wiki.setText(this.tiddlerTitle,this.tiddlerField,null,this.inputDomNode.value);\n\t\t}\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRangeWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.tiddlerField = this.getAttribute(\"field\");\n\tthis.tiddlerIndex = this.getAttribute(\"index\");\n\tthis.minValue = this.getAttribute(\"min\");\n\tthis.maxValue = this.getAttribute(\"max\");\n\tthis.increment = this.getAttribute(\"increment\");\n\tthis.defaultValue = this.getAttribute(\"default\");\n\tthis.elementClass = this.getAttribute(\"class\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRangeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes['min'] || changedAttributes['max'] || changedAttributes['increment'] || changedAttributes[\"default\"] || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.tiddlerTitle]) {\n\t\t\tvar value = this.getValue();\n\t\t\tif(this.inputDomNode.value !== value) {\n\t\t\t\tthis.inputDomNode.value = value;\t\t\t\t\n\t\t\t}\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.range = RangeWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/raw.js": {
            "title": "$:/core/modules/widgets/raw.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/raw.js\ntype: application/javascript\nmodule-type: widget\n\nRaw widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RawWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRawWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRawWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tvar div = this.document.createElement(\"div\");\n\tdiv.innerHTML=this.parseTreeNode.html;\n\tparent.insertBefore(div,nextSibling);\n\tthis.domNodes.push(div);\t\n};\n\n/*\nCompute the internal state of the widget\n*/\nRawWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRawWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.raw = RawWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/reveal.js": {
            "title": "$:/core/modules/widgets/reveal.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/reveal.js\ntype: application/javascript\nmodule-type: widget\n\nReveal widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RevealWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRevealWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRevealWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.revealTag && $tw.config.htmlUnsafeElements.indexOf(this.revealTag) === -1) {\n\t\ttag = this.revealTag;\n\t}\n\tvar domNode = this.document.createElement(tag);\n\tvar classes = this[\"class\"].split(\" \") || [];\n\tclasses.push(\"tc-reveal\");\n\tdomNode.className = classes.join(\" \");\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\t}\n\tif(!this.isOpen) {\n\t\tdomNode.setAttribute(\"hidden\",\"true\");\n\t}\n\tthis.domNodes.push(domNode);\n};\n\nRevealWidget.prototype.positionPopup = function(domNode) {\n\tdomNode.style.position = \"absolute\";\n\tdomNode.style.zIndex = \"1000\";\n\tvar left,top;\n\tswitch(this.position) {\n\t\tcase \"left\":\n\t\t\tleft = this.popup.left - domNode.offsetWidth;\n\t\t\ttop = this.popup.top;\n\t\t\tbreak;\n\t\tcase \"above\":\n\t\t\tleft = this.popup.left;\n\t\t\ttop = this.popup.top - domNode.offsetHeight;\n\t\t\tbreak;\n\t\tcase \"aboveright\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top + this.popup.height - domNode.offsetHeight;\n\t\t\tbreak;\n\t\tcase \"right\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top;\n\t\t\tbreak;\n\t\tcase \"belowleft\":\n\t\t\tleft = this.popup.left + this.popup.width - domNode.offsetWidth;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\n\t\tdefault: // Below\n\t\t\tleft = this.popup.left;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\n\t}\n\tif(!this.positionAllowNegative) {\n\t\tleft = Math.max(0,left);\n\t\ttop = Math.max(0,top);\n\t}\n\tdomNode.style.left = left + \"px\";\n\tdomNode.style.top = top + \"px\";\n};\n\n/*\nCompute the internal state of the widget\n*/\nRevealWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.state = this.getAttribute(\"state\");\n\tthis.revealTag = this.getAttribute(\"tag\");\n\tthis.type = this.getAttribute(\"type\");\n\tthis.text = this.getAttribute(\"text\");\n\tthis.position = this.getAttribute(\"position\");\n\tthis.positionAllowNegative = this.getAttribute(\"positionAllowNegative\") === \"yes\";\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tthis.style = this.getAttribute(\"style\",\"\");\n\tthis[\"default\"] = this.getAttribute(\"default\",\"\");\n\tthis.animate = this.getAttribute(\"animate\",\"no\");\n\tthis.retain = this.getAttribute(\"retain\",\"no\");\n\tthis.openAnimation = this.animate === \"no\" ? undefined : \"open\";\n\tthis.closeAnimation = this.animate === \"no\" ? undefined : \"close\";\n\t// Compute the title of the state tiddler and read it\n\tthis.stateTiddlerTitle = this.state;\n\tthis.stateTitle = this.getAttribute(\"stateTitle\");\n\tthis.stateField = this.getAttribute(\"stateField\");\n\tthis.stateIndex = this.getAttribute(\"stateIndex\");\n\tthis.readState();\n\t// Construct the child widgets\n\tvar childNodes = this.isOpen ? this.parseTreeNode.children : [];\n\tthis.hasChildNodes = this.isOpen;\n\tthis.makeChildWidgets(childNodes);\n};\n\n/*\nRead the state tiddler\n*/\nRevealWidget.prototype.readState = function() {\n\t// Read the information from the state tiddler\n\tvar state,\n\t    defaultState = this[\"default\"];\n\tif(this.stateTitle) {\n\t\tvar stateTitleTiddler = this.wiki.getTiddler(this.stateTitle);\n\t\tif(this.stateField) {\n\t\t\tstate = stateTitleTiddler ? stateTitleTiddler.getFieldString(this.stateField) || defaultState : defaultState;\n\t\t} else if(this.stateIndex) {\n\t\t\tstate = stateTitleTiddler ? this.wiki.extractTiddlerDataItem(this.stateTitle,this.stateIndex) || defaultState : defaultState;\n\t\t} else if(stateTitleTiddler) {\n\t\t\tstate = this.wiki.getTiddlerText(this.stateTitle) || defaultState;\n\t\t} else {\n\t\t\tstate = defaultState;\n\t\t}\n\t} else {\n\t\tstate = this.stateTiddlerTitle ? this.wiki.getTextReference(this.state,this[\"default\"],this.getVariable(\"currentTiddler\")) : this[\"default\"];\n\t}\n\tif(state === null) {\n\t\tstate = this[\"default\"];\n\t}\n\tswitch(this.type) {\n\t\tcase \"popup\":\n\t\t\tthis.readPopupState(state);\n\t\t\tbreak;\n\t\tcase \"match\":\n\t\t\tthis.isOpen = this.text === state;\n\t\t\tbreak;\n\t\tcase \"nomatch\":\n\t\t\tthis.isOpen = this.text !== state;\n\t\t\tbreak;\n\t\tcase \"lt\":\n\t\t\tthis.isOpen = !!(this.compareStateText(state) < 0);\n\t\t\tbreak;\n\t\tcase \"gt\":\n\t\t\tthis.isOpen = !!(this.compareStateText(state) > 0);\n\t\t\tbreak;\n\t\tcase \"lteq\":\n\t\t\tthis.isOpen = !(this.compareStateText(state) > 0);\n\t\t\tbreak;\n\t\tcase \"gteq\":\n\t\t\tthis.isOpen = !(this.compareStateText(state) < 0);\n\t\t\tbreak;\n\t}\n};\n\nRevealWidget.prototype.compareStateText = function(state) {\n\treturn state.localeCompare(this.text,undefined,{numeric: true,sensitivity: \"case\"});\n};\n\nRevealWidget.prototype.readPopupState = function(state) {\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/,\n\t\tmatch = popupLocationRegExp.exec(state);\n\t// Check if the state matches the location regexp\n\tif(match) {\n\t\t// If so, we're open\n\t\tthis.isOpen = true;\n\t\t// Get the location\n\t\tthis.popup = {\n\t\t\tleft: parseFloat(match[1]),\n\t\t\ttop: parseFloat(match[2]),\n\t\t\twidth: parseFloat(match[3]),\n\t\t\theight: parseFloat(match[4])\n\t\t};\n\t} else {\n\t\t// If not, we're closed\n\t\tthis.isOpen = false;\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRevealWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.state || changedAttributes.type || changedAttributes.text || changedAttributes.position || changedAttributes.positionAllowNegative || changedAttributes[\"default\"] || changedAttributes.animate || changedAttributes.stateTitle || changedAttributes.stateField || changedAttributes.stateIndex) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar currentlyOpen = this.isOpen;\n\t\tthis.readState();\n\t\tif(this.isOpen !== currentlyOpen) {\n\t\t\tif(this.retain === \"yes\") {\n\t\t\t\tthis.updateState();\n\t\t\t} else {\n\t\t\t\tthis.refreshSelf();\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\n/*\nCalled by refresh() to dynamically show or hide the content\n*/\nRevealWidget.prototype.updateState = function() {\n\tvar self = this;\n\t// Read the current state\n\tthis.readState();\n\t// Construct the child nodes if needed\n\tvar domNode = this.domNodes[0];\n\tif(this.isOpen && !this.hasChildNodes) {\n\t\tthis.hasChildNodes = true;\n\t\tthis.makeChildWidgets(this.parseTreeNode.children);\n\t\tthis.renderChildren(domNode,null);\n\t}\n\t// Animate our DOM node\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\n\t}\n\tif(this.isOpen) {\n\t\tdomNode.removeAttribute(\"hidden\");\n        $tw.anim.perform(this.openAnimation,domNode);\n\t} else {\n\t\t$tw.anim.perform(this.closeAnimation,domNode,{callback: function() {\n\t\t\t//make sure that the state hasn't changed during the close animation\n\t\t\tself.readState()\n\t\t\tif(!self.isOpen) {\n\t\t\t\tdomNode.setAttribute(\"hidden\",\"true\");\n\t\t\t}\n\t\t}});\n\t}\n};\n\nexports.reveal = RevealWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/scrollable.js": {
            "title": "$:/core/modules/widgets/scrollable.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/scrollable.js\ntype: application/javascript\nmodule-type: widget\n\nScrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ScrollableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.scaleFactor = 1;\n\tthis.addEventListeners([\n\t\t{type: \"tm-scroll\", handler: \"handleScrollEvent\"}\n\t]);\n\tif($tw.browser) {\n\t\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\t\twindow.webkitRequestAnimationFrame ||\n\t\t\twindow.mozRequestAnimationFrame ||\n\t\t\tfunction(callback) {\n\t\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t\t};\n\t\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\t\twindow.webkitCancelAnimationFrame ||\n\t\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\t\twindow.mozCancelAnimationFrame ||\n\t\t\twindow.mozCancelRequestAnimationFrame ||\n\t\t\tfunction(id) {\n\t\t\t\twindow.clearTimeout(id);\n\t\t\t};\n\t}\n};\n\n/*\nInherit from the base widget class\n*/\nScrollableWidget.prototype = new Widget();\n\nScrollableWidget.prototype.cancelScroll = function() {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(window,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle a scroll event\n*/\nScrollableWidget.prototype.handleScrollEvent = function(event) {\n\t// Pass the scroll event through if our offsetsize is larger than our scrollsize\n\tif(this.outerDomNode.scrollWidth <= this.outerDomNode.offsetWidth && this.outerDomNode.scrollHeight <= this.outerDomNode.offsetHeight && this.fallthrough === \"yes\") {\n\t\treturn true;\n\t}\n\tthis.scrollIntoView(event.target);\n\treturn false; // Handled event\n};\n\n/*\nScroll an element into view\n*/\nScrollableWidget.prototype.scrollIntoView = function(element) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tthis.cancelScroll();\n\tthis.startTime = Date.now();\n\tvar scrollPosition = {\n\t\tx: this.outerDomNode.scrollLeft,\n\t\ty: this.outerDomNode.scrollTop\n\t};\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar scrollableBounds = this.outerDomNode.getBoundingClientRect(),\n\t\tclientTargetBounds = element.getBoundingClientRect(),\n\t\tbounds = {\n\t\t\tleft: clientTargetBounds.left + scrollPosition.x - scrollableBounds.left,\n\t\t\ttop: clientTargetBounds.top + scrollPosition.y - scrollableBounds.top,\n\t\t\twidth: clientTargetBounds.width,\n\t\t\theight: clientTargetBounds.height\n\t\t};\n\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\tvar getEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\t// If the target is already visible then stay where we are\n\t\t\tif(targetPos >= currentPos && (targetPos + targetSize) <= (currentPos + currentSize)) {\n\t\t\t\treturn currentPos;\n\t\t\t// If the target is above/left of the current view, then scroll to its top/left\n\t\t\t} else if(targetPos <= currentPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// If the target is smaller than the window and the scroll position is too far up, then scroll till the target is at the bottom of the window\n\t\t\t} else if(targetSize < currentSize && currentPos < (targetPos + targetSize - currentSize)) {\n\t\t\t\treturn targetPos + targetSize - currentSize;\n\t\t\t// If the target is big, then just scroll to the top\n\t\t\t} else if(currentPos < targetPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// Otherwise, stay where we are\n\t\t\t} else {\n\t\t\t\treturn currentPos;\n\t\t\t}\n\t\t},\n\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,this.outerDomNode.offsetWidth),\n\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,this.outerDomNode.offsetHeight);\n\t// Only scroll if necessary\n\tif(endX !== scrollPosition.x || endY !== scrollPosition.y) {\n\t\tvar self = this,\n\t\t\tdrawFrame;\n\t\tdrawFrame = function () {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\t\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll();\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\tself.outerDomNode.scrollLeft = scrollPosition.x + (endX - scrollPosition.x) * t;\n\t\t\tself.outerDomNode.scrollTop = scrollPosition.y + (endY - scrollPosition.y) * t;\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(window,drawFrame);\n\t\t\t}\n\t\t};\n\t\tdrawFrame();\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nScrollableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create elements\n\tthis.outerDomNode = this.document.createElement(\"div\");\n\t$tw.utils.setStyle(this.outerDomNode,[\n\t\t{overflowY: \"auto\"},\n\t\t{overflowX: \"auto\"},\n\t\t{webkitOverflowScrolling: \"touch\"}\n\t]);\n\tthis.innerDomNode = this.document.createElement(\"div\");\n\tthis.outerDomNode.appendChild(this.innerDomNode);\n\t// Assign classes\n\tthis.outerDomNode.className = this[\"class\"] || \"\";\n\t// Insert element\n\tparent.insertBefore(this.outerDomNode,nextSibling);\n\tthis.renderChildren(this.innerDomNode,null);\n\tthis.domNodes.push(this.outerDomNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nScrollableWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.fallthrough = this.getAttribute(\"fallthrough\",\"yes\");\n\tthis[\"class\"] = this.getAttribute(\"class\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nScrollableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.scrollable = ScrollableWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/select.js": {
            "title": "$:/core/modules/widgets/select.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/select.js\ntype: application/javascript\nmodule-type: widget\n\nSelect widget:\n\n```\n<$select tiddler=\"MyTiddler\" field=\"text\">\n<$list filter=\"[tag[chapter]]\">\n<option value=<<currentTiddler>>>\n<$view field=\"description\"/>\n</option>\n</$list>\n</$select>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SelectWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSelectWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSelectWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n\tthis.setSelectValue();\n\t$tw.utils.addEventListeners(this.getSelectDomNode(),[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n};\n\n/*\nHandle a change event\n*/\nSelectWidget.prototype.handleChangeEvent = function(event) {\n\t// Get the new value and assign it to the tiddler\n\tif(this.selectMultiple == false) {\n\t\tvar value = this.getSelectDomNode().value;\n\t} else {\n\t\tvar value = this.getSelectValues()\n\t\t\t\tvalue = $tw.utils.stringifyList(value);\n\t}\n\tthis.wiki.setText(this.selectTitle,this.selectField,this.selectIndex,value);\n\t// Trigger actions\n\tif(this.selectActions) {\n\t\tthis.invokeActionString(this.selectActions,this,event);\n\t}\n};\n\n/*\nIf necessary, set the value of the select element to the current value\n*/\nSelectWidget.prototype.setSelectValue = function() {\n\tvar value = this.selectDefault;\n\t// Get the value\n\tif(this.selectIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.selectTitle,this.selectIndex,value);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.selectTitle);\n\t\tif(tiddler) {\n\t\t\tif(this.selectField === \"text\") {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.selectTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.selectField)) {\n\t\t\t\t\tvalue = tiddler.getFieldString(this.selectField);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.selectField === \"title\") {\n\t\t\t\tvalue = this.selectTitle;\n\t\t\t}\n\t\t}\n\t}\n\t// Assign it to the select element if it's different than the current value\n\tif (this.selectMultiple) {\n\t\tvalue = value === undefined ? \"\" : value;\n\t\tvar select = this.getSelectDomNode();\n\t\tvar values = Array.isArray(value) ? value : $tw.utils.parseStringArray(value);\n\t\tfor(var i=0; i < select.children.length; i++){\n\t\t\tselect.children[i].selected = values.indexOf(select.children[i].value) !== -1\n\t\t}\n\t} else {\n\t\tvar domNode = this.getSelectDomNode();\n\t\tif(domNode.value !== value) {\n\t\t\tdomNode.value = value;\n\t\t}\n\t}\n};\n\n/*\nGet the DOM node of the select element\n*/\nSelectWidget.prototype.getSelectDomNode = function() {\n\treturn this.children[0].domNodes[0];\n};\n\n// Return an array of the selected opion values\n// select is an HTML select element\nSelectWidget.prototype.getSelectValues = function() {\n\tvar select, result, options, opt;\n\tselect = this.getSelectDomNode();\n\tresult = [];\n\toptions = select && select.options;\n\tfor (var i=0; i<options.length; i++) {\n\t\topt = options[i];\n\t\tif (opt.selected) {\n\t\t\tresult.push(opt.value || opt.text);\n\t\t}\n\t}\n\treturn result;\n}\n\n/*\nCompute the internal state of the widget\n*/\nSelectWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.selectActions = this.getAttribute(\"actions\");\n\tthis.selectTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.selectField = this.getAttribute(\"field\",\"text\");\n\tthis.selectIndex = this.getAttribute(\"index\");\n\tthis.selectClass = this.getAttribute(\"class\");\n\tthis.selectDefault = this.getAttribute(\"default\");\n\tthis.selectMultiple = this.getAttribute(\"multiple\", false);\n\tthis.selectSize = this.getAttribute(\"size\");\n\tthis.selectTooltip = this.getAttribute(\"tooltip\");\n\t// Make the child widgets\n\tvar selectNode = {\n\t\ttype: \"element\",\n\t\ttag: \"select\",\n\t\tchildren: this.parseTreeNode.children\n\t};\n\tif(this.selectClass) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"class\",this.selectClass);\n\t}\n\tif(this.selectMultiple) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"multiple\",\"multiple\");\n\t}\n\tif(this.selectSize) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"size\",this.selectSize);\n\t}\n\tif(this.selectTooltip) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"title\",this.selectTooltip);\n\t}\n\tthis.makeChildWidgets([selectNode]);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSelectWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// If we're using a different tiddler/field/index then completely refresh ourselves\n\tif(changedAttributes.selectTitle || changedAttributes.selectField || changedAttributes.selectIndex || changedAttributes.selectTooltip) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t// If the target tiddler value has changed, just update setting and refresh the children\n\t} else {\n\t\tvar childrenRefreshed = this.refreshChildren(changedTiddlers);\n\t\tif(changedTiddlers[this.selectTitle] || childrenRefreshed) {\n\t\t\tthis.setSelectValue();\n\t\t} \n\t\treturn childrenRefreshed;\n\t}\n};\n\nexports.select = SelectWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/set.js": {
            "title": "$:/core/modules/widgets/set.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/set.js\ntype: application/javascript\nmodule-type: widget\n\nSet variable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.setName = this.getAttribute(\"name\",\"currentTiddler\");\n\tthis.setFilter = this.getAttribute(\"filter\");\n\tthis.setSelect = this.getAttribute(\"select\");\n\tthis.setTiddler = this.getAttribute(\"tiddler\");\n\tthis.setSubTiddler = this.getAttribute(\"subtiddler\");\n\tthis.setField = this.getAttribute(\"field\");\n\tthis.setIndex = this.getAttribute(\"index\");\n\tthis.setValue = this.getAttribute(\"value\");\n\tthis.setEmptyValue = this.getAttribute(\"emptyValue\");\n\t// Set context variable\n\tthis.setVariable(this.setName,this.getValue(),this.parseTreeNode.params,!!this.parseTreeNode.isMacroDefinition);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nGet the value to be assigned\n*/\nSetWidget.prototype.getValue = function() {\n\tvar value = this.setValue;\n\tif(this.setTiddler) {\n\t\tvar tiddler;\n\t\tif(this.setSubTiddler) {\n\t\t\ttiddler = this.wiki.getSubTiddler(this.setTiddler,this.setSubTiddler);\n\t\t} else {\n\t\t\ttiddler = this.wiki.getTiddler(this.setTiddler);\t\t\t\n\t\t}\n\t\tif(!tiddler) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t} else if(this.setField) {\n\t\t\tvalue = tiddler.getFieldString(this.setField) || this.setEmptyValue;\n\t\t} else if(this.setIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.setTiddler,this.setIndex,this.setEmptyValue);\n\t\t} else {\n\t\t\tvalue = tiddler.fields.text || this.setEmptyValue ;\n\t\t}\n\t} else if(this.setFilter) {\n\t\tvar results = this.wiki.filterTiddlers(this.setFilter,this);\n\t\tif(this.setValue == null) {\n\t\t\tvar select;\n\t\t\tif(this.setSelect) {\n\t\t\t\tselect = parseInt(this.setSelect,10);\n\t\t\t}\n\t\t\tif(select !== undefined) {\n\t\t\t\tvalue = results[select] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = $tw.utils.stringifyList(results);\t\t\t\n\t\t\t}\n\t\t}\n\t\tif(results.length === 0 && this.setEmptyValue !== undefined) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t}\n\t} else if(!value && this.setEmptyValue) {\n\t\tvalue = this.setEmptyValue;\n\t}\n\treturn value || \"\";\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSetWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name || changedAttributes.filter || changedAttributes.select || changedAttributes.tiddler || (this.setTiddler && changedTiddlers[this.setTiddler]) || changedAttributes.field || changedAttributes.index || changedAttributes.value || changedAttributes.emptyValue ||\n\t   (this.setFilter && this.getValue() != this.variables[this.setName].value)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.setvariable = SetWidget;\nexports.set = SetWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/text.js": {
            "title": "$:/core/modules/widgets/text.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/text.js\ntype: application/javascript\nmodule-type: widget\n\nText node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TextNodeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTextNodeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTextNodeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar text = this.getAttribute(\"text\",this.parseTreeNode.text || \"\");\n\ttext = text.replace(/\\r/mg,\"\");\n\tvar textNode = this.document.createTextNode(text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTextNodeWidget.prototype.execute = function() {\n\t// Nothing to do for a text node\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTextNodeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.text) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.text = TextNodeWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/tiddler.js": {
            "title": "$:/core/modules/widgets/tiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/tiddler.js\ntype: application/javascript\nmodule-type: widget\n\nTiddler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTiddlerWidget.prototype.execute = function() {\n\tthis.tiddlerState = this.computeTiddlerState();\n\tthis.setVariable(\"currentTiddler\",this.tiddlerState.currentTiddler);\n\tthis.setVariable(\"missingTiddlerClass\",this.tiddlerState.missingTiddlerClass);\n\tthis.setVariable(\"shadowTiddlerClass\",this.tiddlerState.shadowTiddlerClass);\n\tthis.setVariable(\"systemTiddlerClass\",this.tiddlerState.systemTiddlerClass);\n\tthis.setVariable(\"tiddlerTagClasses\",this.tiddlerState.tiddlerTagClasses);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nCompute the tiddler state flags\n*/\nTiddlerWidget.prototype.computeTiddlerState = function() {\n\t// Get our parameters\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Compute the state\n\tvar state = {\n\t\tcurrentTiddler: this.tiddlerTitle || \"\",\n\t\tmissingTiddlerClass: (this.wiki.tiddlerExists(this.tiddlerTitle) || this.wiki.isShadowTiddler(this.tiddlerTitle)) ? \"tc-tiddler-exists\" : \"tc-tiddler-missing\",\n\t\tshadowTiddlerClass: this.wiki.isShadowTiddler(this.tiddlerTitle) ? \"tc-tiddler-shadow\" : \"\",\n\t\tsystemTiddlerClass: this.wiki.isSystemTiddler(this.tiddlerTitle) ? \"tc-tiddler-system\" : \"\",\n\t\ttiddlerTagClasses: this.getTagClasses()\n\t};\n\t// Compute a simple hash to make it easier to detect changes\n\tstate.hash = state.currentTiddler + state.missingTiddlerClass + state.shadowTiddlerClass + state.systemTiddlerClass + state.tiddlerTagClasses;\n\treturn state;\n};\n\n/*\nCreate a string of CSS classes derived from the tags of the current tiddler\n*/\nTiddlerWidget.prototype.getTagClasses = function() {\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\tif(tiddler) {\n\t\tvar tags = [];\n\t\t$tw.utils.each(tiddler.fields.tags,function(tag) {\n\t\t\ttags.push(\"tc-tagged-\" + encodeURIComponent(tag));\n\t\t});\n\t\treturn tags.join(\" \");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tnewTiddlerState = this.computeTiddlerState();\n\tif(changedAttributes.tiddler || newTiddlerState.hash !== this.tiddlerState.hash) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.tiddler = TiddlerWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/transclude.js": {
            "title": "$:/core/modules/widgets/transclude.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/transclude.js\ntype: application/javascript\nmodule-type: widget\n\nTransclude widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TranscludeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTranscludeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTranscludeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTranscludeWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.transcludeTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.transcludeSubTiddler = this.getAttribute(\"subtiddler\");\n\tthis.transcludeField = this.getAttribute(\"field\");\n\tthis.transcludeIndex = this.getAttribute(\"index\");\n\tthis.transcludeMode = this.getAttribute(\"mode\");\n\t// Parse the text reference\n\tvar parseAsInline = !this.parseTreeNode.isBlock;\n\tif(this.transcludeMode === \"inline\") {\n\t\tparseAsInline = true;\n\t} else if(this.transcludeMode === \"block\") {\n\t\tparseAsInline = false;\n\t}\n\tvar parser = this.wiki.parseTextReference(\n\t\t\t\t\t\tthis.transcludeTitle,\n\t\t\t\t\t\tthis.transcludeField,\n\t\t\t\t\t\tthis.transcludeIndex,\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tparseAsInline: parseAsInline,\n\t\t\t\t\t\t\tsubTiddler: this.transcludeSubTiddler\n\t\t\t\t\t\t}),\n\t\tparseTreeNodes = parser ? parser.tree : this.parseTreeNode.children;\n\t// Set context variables for recursion detection\n\tvar recursionMarker = this.makeRecursionMarker();\n\tthis.setVariable(\"transclusion\",recursionMarker);\n\t// Check for recursion\n\tif(parser) {\n\t\tif(this.parentWidget && this.parentWidget.hasVariable(\"transclusion\",recursionMarker)) {\n\t\t\tparseTreeNodes = [{type: \"element\", tag: \"span\", attributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-error\"}\n\t\t\t}, children: [\n\t\t\t\t{type: \"text\", text: $tw.language.getString(\"Error/RecursiveTransclusion\")}\n\t\t\t]}];\n\t\t}\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nCompose a string comprising the title, field and/or index to identify this transclusion for recursion detection\n*/\nTranscludeWidget.prototype.makeRecursionMarker = function() {\n\tvar output = [];\n\toutput.push(\"{\");\n\toutput.push(this.getVariable(\"currentTiddler\",{defaultValue: \"\"}));\n\toutput.push(\"|\");\n\toutput.push(this.transcludeTitle || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeField || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeIndex || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeSubTiddler || \"\");\n\toutput.push(\"}\");\n\treturn output.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTranscludeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedTiddlers[this.transcludeTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.transclude = TranscludeWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/vars.js": {
            "title": "$:/core/modules/widgets/vars.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/vars.js\ntype: application/javascript\nmodule-type: widget\n\nThis widget allows multiple variables to be set in one go:\n\n```\n\\define helloworld() Hello world!\n<$vars greeting=\"Hi\" me={{!!title}} sentence=<<helloworld>>>\n  <<greeting>>! I am <<me>> and I say: <<sentence>>\n</$vars>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar VarsWidget = function(parseTreeNode,options) {\n\t// Call the constructor\n\tWidget.call(this);\n\t// Initialise\t\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nVarsWidget.prototype = Object.create(Widget.prototype);\n\n/*\nRender this widget into the DOM\n*/\nVarsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nVarsWidget.prototype.execute = function() {\n\t// Parse variables\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(val,key) {\n\t\tif(key.charAt(0) !== \"$\") {\n\t\t\tself.setVariable(key,val);\n\t\t}\n\t});\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nVarsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"vars\"] = VarsWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/view.js": {
            "title": "$:/core/modules/widgets/view.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/view.js\ntype: application/javascript\nmodule-type: widget\n\nView widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ViewWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nViewWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nViewWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tif(this.text) {\n\t\tvar textNode = this.document.createTextNode(this.text);\n\t\tparent.insertBefore(textNode,nextSibling);\n\t\tthis.domNodes.push(textNode);\n\t} else {\n\t\tthis.makeChildWidgets();\n\t\tthis.renderChildren(parent,nextSibling);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nViewWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.viewTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.viewSubtiddler = this.getAttribute(\"subtiddler\");\n\tthis.viewField = this.getAttribute(\"field\",\"text\");\n\tthis.viewIndex = this.getAttribute(\"index\");\n\tthis.viewFormat = this.getAttribute(\"format\",\"text\");\n\tthis.viewTemplate = this.getAttribute(\"template\",\"\");\n\tthis.viewMode = this.getAttribute(\"mode\",\"block\");\n\tswitch(this.viewFormat) {\n\t\tcase \"htmlwikified\":\n\t\t\tthis.text = this.getValueAsHtmlWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"plainwikified\":\n\t\t\tthis.text = this.getValueAsPlainWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"htmlencodedplainwikified\":\n\t\t\tthis.text = this.getValueAsHtmlEncodedPlainWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"htmlencoded\":\n\t\t\tthis.text = this.getValueAsHtmlEncoded();\n\t\t\tbreak;\n\t\tcase \"urlencoded\":\n\t\t\tthis.text = this.getValueAsUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"doubleurlencoded\":\n\t\t\tthis.text = this.getValueAsDoubleUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"date\":\n\t\t\tthis.text = this.getValueAsDate(this.viewTemplate);\n\t\t\tbreak;\n\t\tcase \"relativedate\":\n\t\t\tthis.text = this.getValueAsRelativeDate();\n\t\t\tbreak;\n\t\tcase \"stripcomments\":\n\t\t\tthis.text = this.getValueAsStrippedComments();\n\t\t\tbreak;\n\t\tcase \"jsencoded\":\n\t\t\tthis.text = this.getValueAsJsEncoded();\n\t\t\tbreak;\n\t\tdefault: // \"text\"\n\t\t\tthis.text = this.getValueAsText();\n\t\t\tbreak;\n\t}\n};\n\n/*\nThe various formatter functions are baked into this widget for the moment. Eventually they will be replaced by macro functions\n*/\n\n/*\nRetrieve the value of the widget. Options are:\nasString: Optionally return the value as a string\n*/\nViewWidget.prototype.getValue = function(options) {\n\toptions = options || {};\n\tvar value = options.asString ? \"\" : undefined;\n\tif(this.viewIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.viewTitle,this.viewIndex);\n\t} else {\n\t\tvar tiddler;\n\t\tif(this.viewSubtiddler) {\n\t\t\ttiddler = this.wiki.getSubTiddler(this.viewTitle,this.viewSubtiddler);\t\n\t\t} else {\n\t\t\ttiddler = this.wiki.getTiddler(this.viewTitle);\n\t\t}\n\t\tif(tiddler) {\n\t\t\tif(this.viewField === \"text\" && !this.viewSubtiddler) {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.viewTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.viewField)) {\n\t\t\t\t\tif(options.asString) {\n\t\t\t\t\t\tvalue = tiddler.getFieldString(this.viewField);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvalue = tiddler.fields[this.viewField];\t\t\t\t\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.viewField === \"title\") {\n\t\t\t\tvalue = this.viewTitle;\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n\nViewWidget.prototype.getValueAsText = function() {\n\treturn this.getValue({asString: true});\n};\n\nViewWidget.prototype.getValueAsHtmlWikified = function(mode) {\n\treturn this.wiki.renderText(\"text/html\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t});\n};\n\nViewWidget.prototype.getValueAsPlainWikified = function(mode) {\n\treturn this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t});\n};\n\nViewWidget.prototype.getValueAsHtmlEncodedPlainWikified = function(mode) {\n\treturn $tw.utils.htmlEncode(this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t}));\n};\n\nViewWidget.prototype.getValueAsHtmlEncoded = function() {\n\treturn $tw.utils.htmlEncode(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsUrlEncoded = function() {\n\treturn encodeURIComponent(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsDoubleUrlEncoded = function() {\n\treturn encodeURIComponent(encodeURIComponent(this.getValueAsText()));\n};\n\nViewWidget.prototype.getValueAsDate = function(format) {\n\tformat = format || \"YYYY MM DD 0hh:0mm\";\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.formatDateString(value,format);\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsRelativeDate = function(format) {\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.getRelativeDate((new Date()) - (new Date(value))).description;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsStrippedComments = function() {\n\tvar lines = this.getValueAsText().split(\"\\n\"),\n\t\tout = [];\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar text = lines[line];\n\t\tif(!/^\\s*\\/\\/#/.test(text)) {\n\t\t\tout.push(text);\n\t\t}\n\t}\n\treturn out.join(\"\\n\");\n};\n\nViewWidget.prototype.getValueAsJsEncoded = function() {\n\treturn $tw.utils.stringify(this.getValueAsText());\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nViewWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.template || changedAttributes.format || changedTiddlers[this.viewTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.view = ViewWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/widget.js": {
            "title": "$:/core/modules/widgets/widget.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/widget.js\ntype: application/javascript\nmodule-type: widget\n\nWidget base class\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate a widget object for a parse tree node\n\tparseTreeNode: reference to the parse tree node to be rendered\n\toptions: see below\nOptions include:\n\twiki: mandatory reference to wiki associated with this render tree\n\tparentWidget: optional reference to a parent renderer node for the context chain\n\tdocument: optional document object to use instead of global document\n*/\nvar Widget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInitialise widget properties. These steps are pulled out of the constructor so that we can reuse them in subclasses\n*/\nWidget.prototype.initialise = function(parseTreeNode,options) {\n\t// Bail if parseTreeNode is undefined, meaning  that the widget constructor was called without any arguments so that it can be subclassed\n\tif(parseTreeNode === undefined) {\n\t\treturn;\n\t}\n\toptions = options || {};\n\t// Save widget info\n\tthis.parseTreeNode = parseTreeNode;\n\tthis.wiki = options.wiki;\n\tthis.parentWidget = options.parentWidget;\n\tthis.variablesConstructor = function() {};\n\tthis.variablesConstructor.prototype = this.parentWidget ? this.parentWidget.variables : {};\n\tthis.variables = new this.variablesConstructor();\n\tthis.document = options.document;\n\tthis.attributes = {};\n\tthis.children = [];\n\tthis.domNodes = [];\n\tthis.eventListeners = {};\n\t// Hashmap of the widget classes\n\tif(!this.widgetClasses) {\n\t\t// Get widget classes\n\t\tWidget.prototype.widgetClasses = $tw.modules.applyMethods(\"widget\");\n\t\t// Process any subclasses\n\t\t$tw.modules.forEachModuleOfType(\"widget-subclass\",function(title,module) {\n\t\t\tif(module.baseClass) {\n\t\t\t\tvar baseClass = Widget.prototype.widgetClasses[module.baseClass];\n\t\t\t\tif(!baseClass) {\n\t\t\t\t\tthrow \"Module '\" + title + \"' is attemping to extend a non-existent base class '\" + module.baseClass + \"'\";\n\t\t\t\t}\n\t\t\t\tvar subClass = module.constructor;\n\t\t\t\tsubClass.prototype = new baseClass();\n\t\t\t\t$tw.utils.extend(subClass.prototype,module.prototype);\n\t\t\t\tWidget.prototype.widgetClasses[module.name || module.baseClass] = subClass;\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWidget.prototype.execute = function() {\n\tthis.makeChildWidgets();\n};\n\n/*\nSet the value of a context variable\nname: name of the variable\nvalue: value of the variable\nparams: array of {name:, default:} for each parameter\nisMacroDefinition: true if the variable is set via a \\define macro pragma (and hence should have variable substitution performed)\n*/\nWidget.prototype.setVariable = function(name,value,params,isMacroDefinition) {\n\tthis.variables[name] = {value: value, params: params, isMacroDefinition: !!isMacroDefinition};\n};\n\n/*\nGet the prevailing value of a context variable\nname: name of variable\noptions: see below\nOptions include\nparams: array of {name:, value:} for each parameter\ndefaultValue: default value if the variable is not defined\n\nReturns an object with the following fields:\n\nparams: array of {name:,value:} of parameters passed to wikitext variables\ntext: text of variable, with parameters properly substituted\n*/\nWidget.prototype.getVariableInfo = function(name,options) {\n\toptions = options || {};\n\tvar actualParams = options.params || [],\n\t\tparentWidget = this.parentWidget;\n\t// Check for the variable defined in the parent widget (or an ancestor in the prototype chain)\n\tif(parentWidget && name in parentWidget.variables) {\n\t\tvar variable = parentWidget.variables[name],\n\t\t\tvalue = variable.value,\n\t\t\tparams = this.resolveVariableParameters(variable.params,actualParams);\n\t\t// Substitute any parameters specified in the definition\n\t\t$tw.utils.each(params,function(param) {\n\t\t\tvalue = $tw.utils.replaceString(value,new RegExp(\"\\\\$\" + $tw.utils.escapeRegExp(param.name) + \"\\\\$\",\"mg\"),param.value);\n\t\t});\n\t\t// Only substitute variable references if this variable was defined with the \\define pragma\n\t\tif(variable.isMacroDefinition) {\n\t\t\tvalue = this.substituteVariableReferences(value);\t\t\t\n\t\t}\n\t\treturn {\n\t\t\ttext: value,\n\t\t\tparams: params\n\t\t};\n\t}\n\t// If the variable doesn't exist in the parent widget then look for a macro module\n\treturn {\n\t\ttext: this.evaluateMacroModule(name,actualParams,options.defaultValue)\n\t};\n};\n\n/*\nSimplified version of getVariableInfo() that just returns the text\n*/\nWidget.prototype.getVariable = function(name,options) {\n\treturn this.getVariableInfo(name,options).text;\n};\n\nWidget.prototype.resolveVariableParameters = function(formalParams,actualParams) {\n\tformalParams = formalParams || [];\n\tactualParams = actualParams || [];\n\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\tparamInfo, paramValue,\n\t\tresults = [];\n\t// Step through each of the parameters in the macro definition\n\tfor(var p=0; p<formalParams.length; p++) {\n\t\t// Check if we've got a macro call parameter with the same name\n\t\tparamInfo = formalParams[p];\n\t\tparamValue = undefined;\n\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t}\n\t\t}\n\t\t// If not, use the next available anonymous macro call parameter\n\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\tnextAnonParameter++;\n\t\t}\n\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t}\n\t\t// If we've still not got a value, use the default, if any\n\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t// Store the parameter name and value\n\t\tresults.push({name: paramInfo.name, value: paramValue});\n\t}\n\treturn results;\n};\n\nWidget.prototype.substituteVariableReferences = function(text) {\n\tvar self = this;\n\treturn (text || \"\").replace(/\\$\\(([^\\)\\$]+)\\)\\$/g,function(match,p1,offset,string) {\n\t\treturn self.getVariable(p1,{defaultValue: \"\"});\n\t});\n};\n\nWidget.prototype.evaluateMacroModule = function(name,actualParams,defaultValue) {\n\tif($tw.utils.hop($tw.macros,name)) {\n\t\tvar macro = $tw.macros[name],\n\t\t\targs = [];\n\t\tif(macro.params.length > 0) {\n\t\t\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\t\t\tparamInfo, paramValue;\n\t\t\t// Step through each of the parameters in the macro definition\n\t\t\tfor(var p=0; p<macro.params.length; p++) {\n\t\t\t\t// Check if we've got a macro call parameter with the same name\n\t\t\t\tparamInfo = macro.params[p];\n\t\t\t\tparamValue = undefined;\n\t\t\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// If not, use the next available anonymous macro call parameter\n\t\t\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\t\t\tnextAnonParameter++;\n\t\t\t\t}\n\t\t\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t\t\t}\n\t\t\t\t// If we've still not got a value, use the default, if any\n\t\t\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t\t\t// Save the parameter\n\t\t\t\targs.push(paramValue);\n\t\t\t}\n\t\t}\n\t\telse for(var i=0; i<actualParams.length; ++i) {\n\t\t\targs.push(actualParams[i].value);\n\t\t}\n\t\treturn (macro.run.apply(this,args) || \"\").toString();\n\t} else {\n\t\treturn defaultValue;\n\t}\n};\n\n/*\nCheck whether a given context variable value exists in the parent chain\n*/\nWidget.prototype.hasVariable = function(name,value) {\n\tvar node = this;\n\twhile(node) {\n\t\tif($tw.utils.hop(node.variables,name) && node.variables[name].value === value) {\n\t\t\treturn true;\n\t\t}\n\t\tnode = node.parentWidget;\n\t}\n\treturn false;\n};\n\n/*\nConstruct a qualifying string based on a hash of concatenating the values of a given variable in the parent chain\n*/\nWidget.prototype.getStateQualifier = function(name) {\n\tthis.qualifiers = this.qualifiers || Object.create(null);\n\tname = name || \"transclusion\";\n\tif(this.qualifiers[name]) {\n\t\treturn this.qualifiers[name];\n\t} else {\n\t\tvar output = [],\n\t\t\tnode = this;\n\t\twhile(node && node.parentWidget) {\n\t\t\tif($tw.utils.hop(node.parentWidget.variables,name)) {\n\t\t\t\toutput.push(node.getVariable(name));\n\t\t\t}\n\t\t\tnode = node.parentWidget;\n\t\t}\n\t\tvar value = $tw.utils.hashString(output.join(\"\"));\n\t\tthis.qualifiers[name] = value;\n\t\treturn value;\n\t}\n};\n\n/*\nCompute the current values of the attributes of the widget. Returns a hashmap of the names of the attributes that have changed\n*/\nWidget.prototype.computeAttributes = function() {\n\tvar changedAttributes = {},\n\t\tself = this,\n\t\tvalue;\n\t$tw.utils.each(this.parseTreeNode.attributes,function(attribute,name) {\n\t\tif(attribute.type === \"filtered\") {\n\t\t\tvalue = self.wiki.filterTiddlers(attribute.filter,self)[0] || \"\";\n\t\t} else if(attribute.type === \"indirect\") {\n\t\t\tvalue = self.wiki.getTextReference(attribute.textReference,\"\",self.getVariable(\"currentTiddler\"));\n\t\t} else if(attribute.type === \"macro\") {\n\t\t\tvalue = self.getVariable(attribute.value.name,{params: attribute.value.params});\n\t\t} else { // String attribute\n\t\t\tvalue = attribute.value;\n\t\t}\n\t\t// Check whether the attribute has changed\n\t\tif(self.attributes[name] !== value) {\n\t\t\tself.attributes[name] = value;\n\t\t\tchangedAttributes[name] = true;\n\t\t}\n\t});\n\treturn changedAttributes;\n};\n\n/*\nCheck for the presence of an attribute\n*/\nWidget.prototype.hasAttribute = function(name) {\n\treturn $tw.utils.hop(this.attributes,name);\n};\n\n/*\nGet the value of an attribute\n*/\nWidget.prototype.getAttribute = function(name,defaultText) {\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\treturn this.attributes[name];\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nAssign the computed attributes of the widget to a domNode\noptions include:\nexcludeEventAttributes: ignores attributes whose name begins with \"on\"\n*/\nWidget.prototype.assignAttributes = function(domNode,options) {\n\toptions = options || {};\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(v,a) {\n\t\t// Check exclusions\n\t\tif(options.excludeEventAttributes && a.substr(0,2) === \"on\") {\n\t\t\tv = undefined;\n\t\t}\n\t\tif(v !== undefined) {\n\t\t\tvar b = a.split(\":\");\n\t\t\t// Setting certain attributes can cause a DOM error (eg xmlns on the svg element)\n\t\t\ttry {\n\t\t\t\tif (b.length == 2 && b[0] == \"xlink\"){\n\t\t\t\t\tdomNode.setAttributeNS(\"http://www.w3.org/1999/xlink\",b[1],v);\n\t\t\t\t} else {\n\t\t\t\t\tdomNode.setAttributeNS(null,a,v);\n\t\t\t\t}\n\t\t\t} catch(e) {\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nMake child widgets correspondng to specified parseTreeNodes\n*/\nWidget.prototype.makeChildWidgets = function(parseTreeNodes) {\n\tthis.children = [];\n\tvar self = this;\n\t$tw.utils.each(parseTreeNodes || (this.parseTreeNode && this.parseTreeNode.children),function(childNode) {\n\t\tself.children.push(self.makeChildWidget(childNode));\n\t});\n};\n\n/*\nConstruct the widget object for a parse tree node\n*/\nWidget.prototype.makeChildWidget = function(parseTreeNode) {\n\tvar WidgetClass = this.widgetClasses[parseTreeNode.type];\n\tif(!WidgetClass) {\n\t\tWidgetClass = this.widgetClasses.text;\n\t\tparseTreeNode = {type: \"text\", text: \"Undefined widget '\" + parseTreeNode.type + \"'\"};\n\t}\n\treturn new WidgetClass(parseTreeNode,{\n\t\twiki: this.wiki,\n\t\tvariables: {},\n\t\tparentWidget: this,\n\t\tdocument: this.document\n\t});\n};\n\n/*\nGet the next sibling of this widget\n*/\nWidget.prototype.nextSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index < this.parentWidget.children.length-1) {\n\t\t\treturn this.parentWidget.children[index+1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the previous sibling of this widget\n*/\nWidget.prototype.previousSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index > 0) {\n\t\t\treturn this.parentWidget.children[index-1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRender the children of this widget into the DOM\n*/\nWidget.prototype.renderChildren = function(parent,nextSibling) {\n\tvar children = this.children;\n\tfor(var i = 0; i < children.length; i++) {\n\t\tchildren[i].render(parent,nextSibling);\n\t};\n};\n\n/*\nAdd a list of event listeners from an array [{type:,handler:},...]\n*/\nWidget.prototype.addEventListeners = function(listeners) {\n\tvar self = this;\n\t$tw.utils.each(listeners,function(listenerInfo) {\n\t\tself.addEventListener(listenerInfo.type,listenerInfo.handler);\n\t});\n};\n\n/*\nAdd an event listener\n*/\nWidget.prototype.addEventListener = function(type,handler) {\n\tvar self = this;\n\tif(typeof handler === \"string\") { // The handler is a method name on this widget\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn self[handler].call(self,event);\n\t\t};\n\t} else { // The handler is a function\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn handler.call(self,event);\n\t\t};\n\t}\n};\n\n/*\nDispatch an event to a widget. If the widget doesn't handle the event then it is also dispatched to the parent widget\n*/\nWidget.prototype.dispatchEvent = function(event) {\n\t// Dispatch the event if this widget handles it\n\tvar listener = this.eventListeners[event.type];\n\tif(listener) {\n\t\t// Don't propagate the event if the listener returned false\n\t\tif(!listener(event)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Dispatch the event to the parent widget\n\tif(this.parentWidget) {\n\t\treturn this.parentWidget.dispatchEvent(event);\n\t}\n\treturn true;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nRebuild a previously rendered widget\n*/\nWidget.prototype.refreshSelf = function() {\n\tvar nextSibling = this.findNextSiblingDomNode();\n\tthis.removeChildDomNodes();\n\tthis.render(this.parentDomNode,nextSibling);\n};\n\n/*\nRefresh all the children of a widget\n*/\nWidget.prototype.refreshChildren = function(changedTiddlers) {\n\tvar children = this.children,\n\t\trefreshed = false;\n\tfor (var i = 0; i < children.length; i++) {\n\t\trefreshed = children[i].refresh(changedTiddlers) || refreshed;\n\t}\n\treturn refreshed;\n};\n\n/*\nFind the next sibling in the DOM to this widget. This is done by scanning the widget tree through all next siblings and their descendents that share the same parent DOM node\n*/\nWidget.prototype.findNextSiblingDomNode = function(startIndex) {\n\t// Refer to this widget by its index within its parents children\n\tvar parent = this.parentWidget,\n\t\tindex = startIndex !== undefined ? startIndex : parent.children.indexOf(this);\nif(index === -1) {\n\tthrow \"node not found in parents children\";\n}\n\t// Look for a DOM node in the later siblings\n\twhile(++index < parent.children.length) {\n\t\tvar domNode = parent.children[index].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\t// Go back and look for later siblings of our parent if it has the same parent dom node\n\tvar grandParent = parent.parentWidget;\n\tif(grandParent && parent.parentDomNode === this.parentDomNode) {\n\t\tindex = grandParent.children.indexOf(parent);\n\t\tif(index !== -1) {\n\t\t\treturn parent.findNextSiblingDomNode(index);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nFind the first DOM node generated by a widget or its children\n*/\nWidget.prototype.findFirstDomNode = function() {\n\t// Return the first dom node of this widget, if we've got one\n\tif(this.domNodes.length > 0) {\n\t\treturn this.domNodes[0];\n\t}\n\t// Otherwise, recursively call our children\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar domNode = this.children[t].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRemove any DOM nodes created by this widget or its children\n*/\nWidget.prototype.removeChildDomNodes = function() {\n\t// If this widget has directly created DOM nodes, delete them and exit. This assumes that any child widgets are contained within the created DOM nodes, which would normally be the case\n\tif(this.domNodes.length > 0) {\n\t\t$tw.utils.each(this.domNodes,function(domNode) {\n\t\t\tdomNode.parentNode.removeChild(domNode);\n\t\t});\n\t\tthis.domNodes = [];\n\t} else {\n\t\t// Otherwise, ask the child widgets to delete their DOM nodes\n\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\tchildWidget.removeChildDomNodes();\n\t\t});\n\t}\n};\n\n/*\nInvoke the action widgets that are descendents of the current widget.\n*/\nWidget.prototype.invokeActions = function(triggeringWidget,event) {\n\tvar handled = false;\n\t// For each child widget\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar child = this.children[t];\n\t\t// Invoke the child if it is an action widget\n\t\tif(child.invokeAction) {\n\t\t\tchild.refreshSelf();\n\t\t\tif(child.invokeAction(triggeringWidget,event)) {\n\t\t\t\thandled = true;\n\t\t\t}\n\t\t}\n\t\t// Propagate through through the child if it permits it\n\t\tif(child.allowActionPropagation() && child.invokeActions(triggeringWidget,event)) {\n\t\t\thandled = true;\n\t\t}\n\t}\n\treturn handled;\n};\n\n/*\nInvoke the action widgets defined in a string\n*/\nWidget.prototype.invokeActionString = function(actions,triggeringWidget,event,variables) {\n\tactions = actions || \"\";\n\tvar parser = this.wiki.parseText(\"text/vnd.tiddlywiki\",actions,{\n\t\t\tparentWidget: this,\n\t\t\tdocument: this.document\n\t\t}),\n\t\twidgetNode = this.wiki.makeWidget(parser,{\n\t\t\tparentWidget: this,\n\t\t\tdocument: this.document,\n\t\t\tvariables: variables\n\t\t});\n\tvar container = this.document.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn widgetNode.invokeActions(this,event);\n};\n\nWidget.prototype.allowActionPropagation = function() {\n\treturn true;\n};\n\nexports.widget = Widget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/wikify.js": {
            "title": "$:/core/modules/widgets/wikify.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/wikify.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to wikify text into a variable\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar WikifyWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nWikifyWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nWikifyWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWikifyWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.wikifyName = this.getAttribute(\"name\");\n\tthis.wikifyText = this.getAttribute(\"text\");\n\tthis.wikifyType = this.getAttribute(\"type\");\n\tthis.wikifyMode = this.getAttribute(\"mode\",\"block\");\n\tthis.wikifyOutput = this.getAttribute(\"output\",\"text\");\n\t// Create the parse tree\n\tthis.wikifyParser = this.wiki.parseText(this.wikifyType,this.wikifyText,{\n\t\t\tparseAsInline: this.wikifyMode === \"inline\"\n\t\t});\n\t// Create the widget tree \n\tthis.wikifyWidgetNode = this.wiki.makeWidget(this.wikifyParser,{\n\t\t\tdocument: $tw.fakeDocument,\n\t\t\tparentWidget: this\n\t\t});\n\t// Render the widget tree to the container\n\tthis.wikifyContainer = $tw.fakeDocument.createElement(\"div\");\n\tthis.wikifyWidgetNode.render(this.wikifyContainer,null);\n\tthis.wikifyResult = this.getResult();\n\t// Set context variable\n\tthis.setVariable(this.wikifyName,this.wikifyResult);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nReturn the result string\n*/\nWikifyWidget.prototype.getResult = function() {\n\tvar result;\n\tswitch(this.wikifyOutput) {\n\t\tcase \"text\":\n\t\t\tresult = this.wikifyContainer.textContent;\n\t\t\tbreak;\n\t\tcase \"formattedtext\":\n\t\t\tresult = this.wikifyContainer.formattedTextContent;\n\t\t\tbreak;\n\t\tcase \"html\":\n\t\t\tresult = this.wikifyContainer.innerHTML;\n\t\t\tbreak;\n\t\tcase \"parsetree\":\n\t\t\tresult = JSON.stringify(this.wikifyParser.tree,0,$tw.config.preferences.jsonSpaces);\n\t\t\tbreak;\n\t\tcase \"widgettree\":\n\t\t\tresult = JSON.stringify(this.getWidgetTree(),0,$tw.config.preferences.jsonSpaces);\n\t\t\tbreak;\n\t}\n\treturn result;\n};\n\n/*\nReturn a string of the widget tree\n*/\nWikifyWidget.prototype.getWidgetTree = function() {\n\tvar copyNode = function(widgetNode,resultNode) {\n\t\t\tvar type = widgetNode.parseTreeNode.type;\n\t\t\tresultNode.type = type;\n\t\t\tswitch(type) {\n\t\t\t\tcase \"element\":\n\t\t\t\t\tresultNode.tag = widgetNode.parseTreeNode.tag;\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"text\":\n\t\t\t\t\tresultNode.text = widgetNode.parseTreeNode.text;\n\t\t\t\t\tbreak;\t\n\t\t\t}\n\t\t\tif(Object.keys(widgetNode.attributes || {}).length > 0) {\n\t\t\t\tresultNode.attributes = {};\n\t\t\t\t$tw.utils.each(widgetNode.attributes,function(attr,attrName) {\n\t\t\t\t\tresultNode.attributes[attrName] = widgetNode.getAttribute(attrName);\n\t\t\t\t});\n\t\t\t}\n\t\t\tif(Object.keys(widgetNode.children || {}).length > 0) {\n\t\t\t\tresultNode.children = [];\n\t\t\t\t$tw.utils.each(widgetNode.children,function(widgetChildNode) {\n\t\t\t\t\tvar node = {};\n\t\t\t\t\tresultNode.children.push(node);\n\t\t\t\t\tcopyNode(widgetChildNode,node);\n\t\t\t\t});\n\t\t\t}\n\t\t},\n\t\tresults = {};\n\tcopyNode(this.wikifyWidgetNode,results);\n\treturn results;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWikifyWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh ourselves entirely if any of our attributes have changed\n\tif(changedAttributes.name || changedAttributes.text || changedAttributes.type || changedAttributes.mode || changedAttributes.output) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\t// Refresh the widget tree\n\t\tif(this.wikifyWidgetNode.refresh(changedTiddlers)) {\n\t\t\t// Check if there was any change\n\t\t\tvar result = this.getResult();\n\t\t\tif(result !== this.wikifyResult) {\n\t\t\t\t// If so, save the change\n\t\t\t\tthis.wikifyResult = result;\n\t\t\t\tthis.setVariable(this.wikifyName,this.wikifyResult);\n\t\t\t\t// Refresh each of our child widgets\n\t\t\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\t\t\tchildWidget.refreshSelf();\n\t\t\t\t});\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\t// Just refresh the children\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.wikify = WikifyWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/wiki-bulkops.js": {
            "title": "$:/core/modules/wiki-bulkops.js",
            "text": "/*\\\ntitle: $:/core/modules/wiki-bulkops.js\ntype: application/javascript\nmodule-type: wikimethod\n\nBulk tiddler operations such as rename.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRename a tiddler, and relink any tags or lists that reference it.\n*/\nfunction renameTiddler(fromTitle,toTitle,options) {\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\toptions = options || {};\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\t// Rename the tiddler itself\n\t\tvar oldTiddler = this.getTiddler(fromTitle),\n\t\t\tnewTiddler = new $tw.Tiddler(oldTiddler,{title: toTitle},this.getModificationFields());\n\t\tnewTiddler = $tw.hooks.invokeHook(\"th-renaming-tiddler\",newTiddler,oldTiddler);\n\t\tthis.addTiddler(newTiddler);\n\t\tthis.deleteTiddler(fromTitle);\n\t\t// Rename any tags or lists that reference it\n\t\tthis.relinkTiddler(fromTitle,toTitle,options)\n\t}\n}\n\n/*\nRelink any tags or lists that reference a given tiddler\n*/\nfunction relinkTiddler(fromTitle,toTitle,options) {\n\tvar self = this;\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\toptions = options || {};\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\tthis.each(function(tiddler,title) {\n\t\t\tvar type = tiddler.fields.type || \"\";\n\t\t\t// Don't touch plugins or JavaScript modules\n\t\t\tif(!tiddler.fields[\"plugin-type\"] && type !== \"application/javascript\") {\n\t\t\t\tvar tags = tiddler.fields.tags ? tiddler.fields.tags.slice(0) : undefined,\n\t\t\t\t\tlist = tiddler.fields.list ? tiddler.fields.list.slice(0) : undefined,\n\t\t\t\t\tisModified = false;\n\t\t\t\tif(!options.dontRenameInTags) {\n\t\t\t\t\t// Rename tags\n\t\t\t\t\t$tw.utils.each(tags,function (title,index) {\n\t\t\t\t\t\tif(title === fromTitle) {\nconsole.log(\"Renaming tag '\" + tags[index] + \"' to '\" + toTitle + \"' of tiddler '\" + tiddler.fields.title + \"'\");\n\t\t\t\t\t\t\ttags[index] = toTitle;\n\t\t\t\t\t\t\tisModified = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tif(!options.dontRenameInLists) {\n\t\t\t\t\t// Rename lists\n\t\t\t\t\t$tw.utils.each(list,function (title,index) {\n\t\t\t\t\t\tif(title === fromTitle) {\nconsole.log(\"Renaming list item '\" + list[index] + \"' to '\" + toTitle + \"' of tiddler '\" + tiddler.fields.title + \"'\");\n\t\t\t\t\t\t\tlist[index] = toTitle;\n\t\t\t\t\t\t\tisModified = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tif(isModified) {\n\t\t\t\t\tvar newTiddler = new $tw.Tiddler(tiddler,{tags: tags, list: list},self.getModificationFields())\n\t\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-relinking-tiddler\",newTiddler,tiddler);\n\t\t\t\t\tself.addTiddler(newTiddler);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\nexports.renameTiddler = renameTiddler;\nexports.relinkTiddler = relinkTiddler;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikimethod"
        },
        "$:/core/modules/wiki.js": {
            "title": "$:/core/modules/wiki.js",
            "text": "/*\\\ntitle: $:/core/modules/wiki.js\ntype: application/javascript\nmodule-type: wikimethod\n\nExtension methods for the $tw.Wiki object\n\nAdds the following properties to the wiki object:\n\n* `eventListeners` is a hashmap by type of arrays of listener functions\n* `changedTiddlers` is a hashmap describing changes to named tiddlers since wiki change events were last dispatched. Each entry is a hashmap containing two fields:\n\tmodified: true/false\n\tdeleted: true/false\n* `changeCount` is a hashmap by tiddler title containing a numerical index that starts at zero and is incremented each time a tiddler is created changed or deleted\n* `caches` is a hashmap by tiddler title containing a further hashmap of named cache objects. Caches are automatically cleared when a tiddler is modified or deleted\n* `globalCache` is a hashmap by cache name of cache objects that are cleared whenever any tiddler change occurs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar USER_NAME_TITLE = \"$:/status/UserName\",\n\tTIMESTAMP_DISABLE_TITLE = \"$:/config/TimestampDisable\";\n\n/*\nAdd available indexers to this wiki\n*/\nexports.addIndexersToWiki = function() {\n\tvar self = this;\n\t$tw.utils.each($tw.modules.applyMethods(\"indexer\"),function(Indexer,name) {\n\t\tself.addIndexer(new Indexer(self),name);\n\t});\n};\n\n/*\nGet the value of a text reference. Text references can have any of these forms:\n\t<tiddlertitle>\n\t<tiddlertitle>!!<fieldname>\n\t!!<fieldname> - specifies a field of the current tiddlers\n\t<tiddlertitle>##<index>\n*/\nexports.getTextReference = function(textRef,defaultText,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tif(tr.field) {\n\t\tvar tiddler = this.getTiddler(title);\n\t\tif(tr.field === \"title\") { // Special case so we can return the title of a non-existent tiddler\n\t\t\treturn title;\n\t\t} else if(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\treturn tiddler.getFieldString(tr.field);\n\t\t} else {\n\t\t\treturn defaultText;\n\t\t}\n\t} else if(tr.index) {\n\t\treturn this.extractTiddlerDataItem(title,tr.index,defaultText);\n\t} else {\n\t\treturn this.getTiddlerText(title,defaultText);\n\t}\n};\n\nexports.setTextReference = function(textRef,value,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tthis.setText(title,tr.field,tr.index,value);\n};\n\nexports.setText = function(title,field,index,value,options) {\n\toptions = options || {};\n\tvar creationFields = options.suppressTimestamp ? {} : this.getCreationFields(),\n\t\tmodificationFields = options.suppressTimestamp ? {} : this.getModificationFields();\n\t// Check if it is a reference to a tiddler field\n\tif(index) {\n\t\tvar data = this.getTiddlerData(title,Object.create(null));\n\t\tif(value !== undefined) {\n\t\t\tdata[index] = value;\n\t\t} else {\n\t\t\tdelete data[index];\n\t\t}\n\t\tthis.setTiddlerData(title,data,modificationFields);\n\t} else {\n\t\tvar tiddler = this.getTiddler(title),\n\t\t\tfields = {title: title};\n\t\tfields[field || \"text\"] = value;\n\t\tthis.addTiddler(new $tw.Tiddler(creationFields,tiddler,fields,modificationFields));\n\t}\n};\n\nexports.deleteTextReference = function(textRef,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle,tiddler,fields;\n\t// Check if it is a reference to a tiddler\n\tif(tr.title && !tr.field) {\n\t\tthis.deleteTiddler(tr.title);\n\t// Else check for a field reference\n\t} else if(tr.field) {\n\t\ttitle = tr.title || currTiddlerTitle;\n\t\ttiddler = this.getTiddler(title);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\tfields = Object.create(null);\n\t\t\tfields[tr.field] = undefined;\n\t\t\tthis.addTiddler(new $tw.Tiddler(tiddler,fields,this.getModificationFields()));\n\t\t}\n\t}\n};\n\nexports.addEventListener = function(type,listener) {\n\tthis.eventListeners = this.eventListeners || {};\n\tthis.eventListeners[type] = this.eventListeners[type]  || [];\n\tthis.eventListeners[type].push(listener);\t\n};\n\nexports.removeEventListener = function(type,listener) {\n\tvar listeners = this.eventListeners[type];\n\tif(listeners) {\n\t\tvar p = listeners.indexOf(listener);\n\t\tif(p !== -1) {\n\t\t\tlisteners.splice(p,1);\n\t\t}\n\t}\n};\n\nexports.dispatchEvent = function(type /*, args */) {\n\tvar args = Array.prototype.slice.call(arguments,1),\n\t\tlisteners = this.eventListeners[type];\n\tif(listeners) {\n\t\tfor(var p=0; p<listeners.length; p++) {\n\t\t\tvar listener = listeners[p];\n\t\t\tlistener.apply(listener,args);\n\t\t}\n\t}\n};\n\n/*\nCauses a tiddler to be marked as changed, incrementing the change count, and triggers event handlers.\nThis method should be called after the changes it describes have been made to the wiki.tiddlers[] array.\n\ttitle: Title of tiddler\n\tisDeleted: defaults to false (meaning the tiddler has been created or modified),\n\t\ttrue if the tiddler has been deleted\n*/\nexports.enqueueTiddlerEvent = function(title,isDeleted) {\n\t// Record the touch in the list of changed tiddlers\n\tthis.changedTiddlers = this.changedTiddlers || Object.create(null);\n\tthis.changedTiddlers[title] = this.changedTiddlers[title] || Object.create(null);\n\tthis.changedTiddlers[title][isDeleted ? \"deleted\" : \"modified\"] = true;\n\t// Increment the change count\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\tthis.changeCount[title]++;\n\t} else {\n\t\tthis.changeCount[title] = 1;\n\t}\n\t// Trigger events\n\tthis.eventListeners = this.eventListeners || {};\n\tif(!this.eventsTriggered) {\n\t\tvar self = this;\n\t\t$tw.utils.nextTick(function() {\n\t\t\tvar changes = self.changedTiddlers;\n\t\t\tself.changedTiddlers = Object.create(null);\n\t\t\tself.eventsTriggered = false;\n\t\t\tif($tw.utils.count(changes) > 0) {\n\t\t\t\tself.dispatchEvent(\"change\",changes);\n\t\t\t}\n\t\t});\n\t\tthis.eventsTriggered = true;\n\t}\n};\n\nexports.getSizeOfTiddlerEventQueue = function() {\n\treturn $tw.utils.count(this.changedTiddlers);\n};\n\nexports.clearTiddlerEventQueue = function() {\n\tthis.changedTiddlers = Object.create(null);\n\tthis.changeCount = Object.create(null);\n};\n\nexports.getChangeCount = function(title) {\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\treturn this.changeCount[title];\n\t} else {\n\t\treturn 0;\n\t}\n};\n\n/*\nGenerate an unused title from the specified base\n*/\nexports.generateNewTitle = function(baseTitle,options) {\n\toptions = options || {};\n\tvar c = 0,\n\t\ttitle = baseTitle;\n\twhile(this.tiddlerExists(title) || this.isShadowTiddler(title) || this.findDraft(title)) {\n\t\ttitle = baseTitle + \n\t\t\t(options.prefix || \" \") + \n\t\t\t(++c);\n\t}\n\treturn title;\n};\n\nexports.isSystemTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/\") === 0;\n};\n\nexports.isTemporaryTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/temp/\") === 0;\n};\n\nexports.isImageTiddler = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\t\t\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/vnd.tiddlywiki\"];\n\t\treturn !!contentTypeInfo && contentTypeInfo.flags.indexOf(\"image\") !== -1;\n\t} else {\n\t\treturn null;\n\t}\n};\n\nexports.isBinaryTiddler = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\t\t\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/vnd.tiddlywiki\"];\n\t\treturn !!contentTypeInfo && contentTypeInfo.encoding === \"base64\";\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLike addTiddler() except it will silently reject any plugin tiddlers that are older than the currently loaded version. Returns true if the tiddler was imported\n*/\nexports.importTiddler = function(tiddler) {\n\tvar existingTiddler = this.getTiddler(tiddler.fields.title);\n\t// Check if we're dealing with a plugin\n\tif(tiddler && tiddler.hasField(\"plugin-type\") && tiddler.hasField(\"version\") && existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t// Reject the incoming plugin if it is older\n\t\tif(!$tw.utils.checkVersions(tiddler.fields.version,existingTiddler.fields.version)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Fall through to adding the tiddler\n\tthis.addTiddler(tiddler);\n\treturn true;\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is created\n*/\nexports.getCreationFields = function() {\n\tif(this.getTiddlerText(TIMESTAMP_DISABLE_TITLE,\"\").toLowerCase() !== \"yes\") {\n\t\tvar fields = {\n\t\t\t\tcreated: new Date()\n\t\t\t},\n\t\t\tcreator = this.getTiddlerText(USER_NAME_TITLE);\n\t\tif(creator) {\n\t\t\tfields.creator = creator;\n\t\t}\n\t\treturn fields;\n\t} else {\n\t\treturn {};\n\t}\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is modified\n*/\nexports.getModificationFields = function() {\n\tif(this.getTiddlerText(TIMESTAMP_DISABLE_TITLE,\"\").toLowerCase() !== \"yes\") {\n\t\tvar fields = Object.create(null),\n\t\t\tmodifier = this.getTiddlerText(USER_NAME_TITLE);\n\t\tfields.modified = new Date();\n\t\tif(modifier) {\n\t\t\tfields.modifier = modifier;\n\t\t}\n\t\treturn fields;\n\t} else {\n\t\treturn {};\n\t}\n};\n\n/*\nReturn a sorted array of tiddler titles.  Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.getTiddlers = function(options) {\n\toptions = options || Object.create(null);\n\tvar self = this,\n\t\tsortField = options.sortField || \"title\",\n\t\ttiddlers = [], t, titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tif(options.includeSystem || !self.isSystemTiddler(title)) {\n\t\t\tif(!options.excludeTag || !tiddler.hasTag(options.excludeTag)) {\n\t\t\t\ttiddlers.push(tiddler);\n\t\t\t}\n\t\t}\n\t});\n\ttiddlers.sort(function(a,b) {\n\t\tvar aa = a.fields[sortField].toLowerCase() || \"\",\n\t\t\tbb = b.fields[sortField].toLowerCase() || \"\";\n\t\tif(aa < bb) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(aa > bb) {\n\t\t\t\treturn 1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n\tfor(t=0; t<tiddlers.length; t++) {\n\t\ttitles.push(tiddlers[t].fields.title);\n\t}\n\treturn titles;\n};\n\nexports.countTiddlers = function(excludeTag) {\n\tvar tiddlers = this.getTiddlers({excludeTag: excludeTag});\n\treturn $tw.utils.count(tiddlers);\n};\n\n/*\nReturns a function iterator(callback) that iterates through the specified titles, and invokes the callback with callback(tiddler,title)\n*/\nexports.makeTiddlerIterator = function(titles) {\n\tvar self = this;\n\tif(!$tw.utils.isArray(titles)) {\n\t\ttitles = Object.keys(titles);\n\t} else {\n\t\ttitles = titles.slice(0);\n\t}\n\treturn function(callback) {\n\t\ttitles.forEach(function(title) {\n\t\t\tcallback(self.getTiddler(title),title);\n\t\t});\n\t};\n};\n\n/*\nSort an array of tiddler titles by a specified field\n\ttitles: array of titles (sorted in place)\n\tsortField: name of field to sort by\n\tisDescending: true if the sort should be descending\n\tisCaseSensitive: true if the sort should consider upper and lower case letters to be different\n*/\nexports.sortTiddlers = function(titles,sortField,isDescending,isCaseSensitive,isNumeric,isAlphaNumeric) {\n\tvar self = this;\n\ttitles.sort(function(a,b) {\n\t\tvar x,y,\n\t\t\tcompareNumbers = function(x,y) {\n\t\t\t\tvar result = \n\t\t\t\t\tisNaN(x) && !isNaN(y) ? (isDescending ? -1 : 1) :\n\t\t\t\t\t!isNaN(x) && isNaN(y) ? (isDescending ? 1 : -1) :\n\t\t\t\t\t\t\t\t\t\t\t(isDescending ? y - x :  x - y);\n\t\t\t\treturn result;\n\t\t\t};\n\t\tif(sortField !== \"title\") {\n\t\t\tvar tiddlerA = self.getTiddler(a),\n\t\t\t\ttiddlerB = self.getTiddler(b);\n\t\t\tif(tiddlerA) {\n\t\t\t\ta = tiddlerA.fields[sortField] || \"\";\n\t\t\t} else {\n\t\t\t\ta = \"\";\n\t\t\t}\n\t\t\tif(tiddlerB) {\n\t\t\t\tb = tiddlerB.fields[sortField] || \"\";\n\t\t\t} else {\n\t\t\t\tb = \"\";\n\t\t\t}\n\t\t}\n\t\tx = Number(a);\n\t\ty = Number(b);\n\t\tif(isNumeric && (!isNaN(x) || !isNaN(y))) {\n\t\t\treturn compareNumbers(x,y);\n\t\t} else if(isAlphaNumeric) {\n\t\t\treturn isDescending ? b.localeCompare(a,undefined,{numeric: true,sensitivity: \"base\"}) : a.localeCompare(b,undefined,{numeric: true,sensitivity: \"base\"});\n\t\t} else if($tw.utils.isDate(a) && $tw.utils.isDate(b)) {\n\t\t\treturn isDescending ? b - a : a - b;\n\t\t} else {\n\t\t\ta = String(a);\n\t\t\tb = String(b);\n\t\t\tif(!isCaseSensitive) {\n\t\t\t\ta = a.toLowerCase();\n\t\t\t\tb = b.toLowerCase();\n\t\t\t}\n\t\t\treturn isDescending ? b.localeCompare(a) : a.localeCompare(b);\n\t\t}\n\t});\n};\n\n/*\nFor every tiddler invoke a callback(title,tiddler) with `this` set to the wiki object. Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.forEachTiddler = function(/* [options,]callback */) {\n\tvar arg = 0,\n\t\toptions = arguments.length >= 2 ? arguments[arg++] : {},\n\t\tcallback = arguments[arg++],\n\t\ttitles = this.getTiddlers(options),\n\t\tt, tiddler;\n\tfor(t=0; t<titles.length; t++) {\n\t\ttiddler = this.getTiddler(titles[t]);\n\t\tif(tiddler) {\n\t\t\tcallback.call(this,tiddler.fields.title,tiddler);\n\t\t}\n\t}\n};\n\n/*\nReturn an array of tiddler titles that are directly linked within the given parse tree\n */\nexports.extractLinks = function(parseTreeRoot) {\n\t// Count up the links\n\tvar links = [],\n\t\tcheckParseTree = function(parseTree) {\n\t\t\tfor(var t=0; t<parseTree.length; t++) {\n\t\t\t\tvar parseTreeNode = parseTree[t];\n\t\t\t\tif(parseTreeNode.type === \"link\" && parseTreeNode.attributes.to && parseTreeNode.attributes.to.type === \"string\") {\n\t\t\t\t\tvar value = parseTreeNode.attributes.to.value;\n\t\t\t\t\tif(links.indexOf(value) === -1) {\n\t\t\t\t\t\tlinks.push(value);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(parseTreeNode.children) {\n\t\t\t\t\tcheckParseTree(parseTreeNode.children);\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\tcheckParseTree(parseTreeRoot);\n\treturn links;\n};\n\n/*\nReturn an array of tiddler titles that are directly linked from the specified tiddler\n*/\nexports.getTiddlerLinks = function(title) {\n\tvar self = this;\n\t// We'll cache the links so they only get computed if the tiddler changes\n\treturn this.getCacheForTiddler(title,\"links\",function() {\n\t\t// Parse the tiddler\n\t\tvar parser = self.parseTiddler(title);\n\t\tif(parser) {\n\t\t\treturn self.extractLinks(parser.tree);\n\t\t}\n\t\treturn [];\n\t});\n};\n\n/*\nReturn an array of tiddler titles that link to the specified tiddler\n*/\nexports.getTiddlerBacklinks = function(targetTitle) {\n\tvar self = this,\n\t\tbacklinksIndexer = this.getIndexer(\"BacklinksIndexer\"),\n\t\tbacklinks = backlinksIndexer && backlinksIndexer.lookup(targetTitle);\n\n\tif(!backlinks) {\n\t\tbacklinks = [];\n\t\tthis.forEachTiddler(function(title,tiddler) {\n\t\t\tvar links = self.getTiddlerLinks(title);\n\t\t\tif(links.indexOf(targetTitle) !== -1) {\n\t\t\t\tbacklinks.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn backlinks;\n};\n\n/*\nReturn a hashmap of tiddler titles that are referenced but not defined. Each value is the number of times the missing tiddler is referenced\n*/\nexports.getMissingTitles = function() {\n\tvar self = this,\n\t\tmissing = [];\n// We should cache the missing tiddler list, even if we recreate it every time any tiddler is modified\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tif((!self.tiddlerExists(link) && !self.isShadowTiddler(link)) && missing.indexOf(link) === -1) {\n\t\t\t\tmissing.push(link);\n\t\t\t}\n\t\t});\n\t});\n\treturn missing;\n};\n\nexports.getOrphanTitles = function() {\n\tvar self = this,\n\t\torphans = this.getTiddlers();\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tvar p = orphans.indexOf(link);\n\t\t\tif(p !== -1) {\n\t\t\t\torphans.splice(p,1);\n\t\t\t}\n\t\t});\n\t});\n\treturn orphans; // Todo\n};\n\n/*\nRetrieves a list of the tiddler titles that are tagged with a given tag\n*/\nexports.getTiddlersWithTag = function(tag) {\n\t// Try to use the indexer\n\tvar self = this,\n\t\ttagIndexer = this.getIndexer(\"TagIndexer\"),\n\t\tresults = tagIndexer && tagIndexer.subIndexers[3].lookup(tag);\n\tif(!results) {\n\t\t// If not available, perform a manual scan\n\t\tresults = this.getGlobalCache(\"taglist-\" + tag,function() {\n\t\t\tvar tagmap = self.getTagMap();\n\t\t\treturn self.sortByList(tagmap[tag],tag);\n\t\t});\n\t}\n\treturn results;\n};\n\n/*\nGet a hashmap by tag of arrays of tiddler titles\n*/\nexports.getTagMap = function() {\n\tvar self = this;\n\treturn this.getGlobalCache(\"tagmap\",function() {\n\t\tvar tags = Object.create(null),\n\t\t\tstoreTags = function(tagArray,title) {\n\t\t\t\tif(tagArray) {\n\t\t\t\t\tfor(var index=0; index<tagArray.length; index++) {\n\t\t\t\t\t\tvar tag = tagArray[index];\n\t\t\t\t\t\tif($tw.utils.hop(tags,tag)) {\n\t\t\t\t\t\t\ttags[tag].push(title);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\ttags[tag] = [title];\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t},\n\t\t\ttitle, tiddler;\n\t\t// Collect up all the tags\n\t\tself.eachShadow(function(tiddler,title) {\n\t\t\tif(!self.tiddlerExists(title)) {\n\t\t\t\ttiddler = self.getTiddler(title);\n\t\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t\t}\n\t\t});\n\t\tself.each(function(tiddler,title) {\n\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t});\n\t\treturn tags;\n\t});\n};\n\n/*\nLookup a given tiddler and return a list of all the tiddlers that include it in the specified list field\n*/\nexports.findListingsOfTiddler = function(targetTitle,fieldName) {\n\tfieldName = fieldName || \"list\";\n\tvar titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tvar list = $tw.utils.parseStringArray(tiddler.fields[fieldName]);\n\t\tif(list && list.indexOf(targetTitle) !== -1) {\n\t\t\ttitles.push(title);\n\t\t}\n\t});\n\treturn titles;\n};\n\n/*\nSorts an array of tiddler titles according to an ordered list\n*/\nexports.sortByList = function(array,listTitle) {\n\tvar self = this,\n\t\treplacedTitles = Object.create(null);\n\t// Given a title, this function will place it in the correct location\n\t// within titles.\n\tfunction moveItemInList(title) {\n\t\tif(!$tw.utils.hop(replacedTitles, title)) {\n\t\t\treplacedTitles[title] = true;\n\t\t\tvar newPos = -1,\n\t\t\t\ttiddler = self.getTiddler(title);\n\t\t\tif(tiddler) {\n\t\t\t\tvar beforeTitle = tiddler.fields[\"list-before\"],\n\t\t\t\t\tafterTitle = tiddler.fields[\"list-after\"];\n\t\t\t\tif(beforeTitle === \"\") {\n\t\t\t\t\tnewPos = 0;\n\t\t\t\t} else if(afterTitle === \"\") {\n\t\t\t\t\tnewPos = titles.length;\n\t\t\t\t} else if(beforeTitle) {\n\t\t\t\t\t// if this title is placed relative\n\t\t\t\t\t// to another title, make sure that\n\t\t\t\t\t// title is placed before we place\n\t\t\t\t\t// this one.\n\t\t\t\t\tmoveItemInList(beforeTitle);\n\t\t\t\t\tnewPos = titles.indexOf(beforeTitle);\n\t\t\t\t} else if(afterTitle) {\n\t\t\t\t\t// Same deal\n\t\t\t\t\tmoveItemInList(afterTitle);\n\t\t\t\t\tnewPos = titles.indexOf(afterTitle);\n\t\t\t\t\tif(newPos >= 0) {\n\t\t\t\t\t\t++newPos;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// If a new position is specified, let's move it\n\t\t\t\tif (newPos !== -1) {\n\t\t\t\t\t// get its current Pos, and make sure\n\t\t\t\t\t// sure that it's _actually_ in the list\n\t\t\t\t\t// and that it would _actually_ move\n\t\t\t\t\t// (#4275) We don't bother calling\n\t\t\t\t\t//         indexOf unless we have a new\n\t\t\t\t\t//         position to work with\n\t\t\t\t\tvar currPos = titles.indexOf(title);\n\t\t\t\t\tif(currPos >= 0 && newPos !== currPos) {\n\t\t\t\t\t\t// move it!\n\t\t\t\t\t\ttitles.splice(currPos,1);\n\t\t\t\t\t\tif(newPos >= currPos) {\n\t\t\t\t\t\t\tnewPos--;\n\t\t\t\t\t\t}\n\t\t\t\t\t\ttitles.splice(newPos,0,title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tvar list = this.getTiddlerList(listTitle);\n\tif(!array || array.length === 0) {\n\t\treturn [];\n\t} else {\n\t\tvar titles = [], t, title;\n\t\t// First place any entries that are present in the list\n\t\tfor(t=0; t<list.length; t++) {\n\t\t\ttitle = list[t];\n\t\t\tif(array.indexOf(title) !== -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Then place any remaining entries\n\t\tfor(t=0; t<array.length; t++) {\n\t\t\ttitle = array[t];\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Finally obey the list-before and list-after fields of each tiddler in turn\n\t\tvar sortedTitles = titles.slice(0);\n\t\tfor(t=0; t<sortedTitles.length; t++) {\n\t\t\ttitle = sortedTitles[t];\n\t\t\tmoveItemInList(title);\n\t\t}\n\t\treturn titles;\n\t}\n};\n\nexports.getSubTiddler = function(title,subTiddlerTitle) {\n\tvar bundleInfo = this.getPluginInfo(title) || this.getTiddlerDataCached(title);\n\tif(bundleInfo && bundleInfo.tiddlers) {\n\t\tvar subTiddler = bundleInfo.tiddlers[subTiddlerTitle];\n\t\tif(subTiddler) {\n\t\t\treturn new $tw.Tiddler(subTiddler);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRetrieve a tiddler as a JSON string of the fields\n*/\nexports.getTiddlerAsJson = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\tvar fields = Object.create(null);\n\t\t$tw.utils.each(tiddler.fields,function(value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\treturn JSON.stringify(fields);\n\t} else {\n\t\treturn JSON.stringify({title: title});\n\t}\n};\n\nexports.getTiddlersAsJson = function(filter,spaces) {\n\tvar tiddlers = this.filterTiddlers(filter),\n\t\tspaces = (spaces === undefined) ? $tw.config.preferences.jsonSpaces : spaces,\n\t\tdata = [];\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\tvar tiddler = this.getTiddler(tiddlers[t]);\n\t\tif(tiddler) {\n\t\t\tvar fields = new Object();\n\t\t\tfor(var field in tiddler.fields) {\n\t\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t\t}\n\t\t\tdata.push(fields);\n\t\t}\n\t}\n\treturn JSON.stringify(data,null,spaces);\n};\n\n/*\nGet the content of a tiddler as a JavaScript object. How this is done depends on the type of the tiddler:\n\napplication/json: the tiddler JSON is parsed into an object\napplication/x-tiddler-dictionary: the tiddler is parsed as sequence of name:value pairs\n\nOther types currently just return null.\n\ntitleOrTiddler: string tiddler title or a tiddler object\ndefaultData: default data to be returned if the tiddler is missing or doesn't contain data\n\nNote that the same value is returned for repeated calls for the same tiddler data. The value is frozen to prevent modification; otherwise modifications would be visible to all callers\n*/\nexports.getTiddlerDataCached = function(titleOrTiddler,defaultData) {\n\tvar self = this,\n\t\ttiddler = titleOrTiddler;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\t\n\t}\n\tif(tiddler) {\n\t\treturn this.getCacheForTiddler(tiddler.fields.title,\"data\",function() {\n\t\t\t// Return the frozen value\n\t\t\tvar value = self.getTiddlerData(tiddler.fields.title,undefined);\n\t\t\t$tw.utils.deepFreeze(value);\n\t\t\treturn value;\n\t\t}) || defaultData;\n\t} else {\n\t\treturn defaultData;\n\t}\n};\n\n/*\nAlternative, uncached version of getTiddlerDataCached(). The return value can be mutated freely and reused\n*/\nexports.getTiddlerData = function(titleOrTiddler,defaultData) {\n\tvar tiddler = titleOrTiddler,\n\t\tdata;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\t\n\t}\n\tif(tiddler && tiddler.fields.text) {\n\t\tswitch(tiddler.fields.type) {\n\t\t\tcase \"application/json\":\n\t\t\t\t// JSON tiddler\n\t\t\t\ttry {\n\t\t\t\t\tdata = JSON.parse(tiddler.fields.text);\n\t\t\t\t} catch(ex) {\n\t\t\t\t\treturn defaultData;\n\t\t\t\t}\n\t\t\t\treturn data;\n\t\t\tcase \"application/x-tiddler-dictionary\":\n\t\t\t\treturn $tw.utils.parseFields(tiddler.fields.text);\n\t\t}\n\t}\n\treturn defaultData;\n};\n\n/*\nExtract an indexed field from within a data tiddler\n*/\nexports.extractTiddlerDataItem = function(titleOrTiddler,index,defaultText) {\n\tvar data = this.getTiddlerDataCached(titleOrTiddler,Object.create(null)),\n\t\ttext;\n\tif(data && $tw.utils.hop(data,index)) {\n\t\ttext = data[index];\n\t}\n\tif(typeof text === \"string\" || typeof text === \"number\") {\n\t\treturn text.toString();\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nSet a tiddlers content to a JavaScript object. Currently this is done by setting the tiddler's type to \"application/json\" and setting the text to the JSON text of the data.\ntitle: title of tiddler\ndata: object that can be serialised to JSON\nfields: optional hashmap of additional tiddler fields to be set\n*/\nexports.setTiddlerData = function(title,data,fields) {\n\tvar existingTiddler = this.getTiddler(title),\n\t\tnewFields = {\n\t\t\ttitle: title\n\t};\n\tif(existingTiddler && existingTiddler.fields.type === \"application/x-tiddler-dictionary\") {\n\t\tnewFields.text = $tw.utils.makeTiddlerDictionary(data);\n\t} else {\n\t\tnewFields.type = \"application/json\";\n\t\tnewFields.text = JSON.stringify(data,null,$tw.config.preferences.jsonSpaces);\n\t}\n\tthis.addTiddler(new $tw.Tiddler(this.getCreationFields(),existingTiddler,fields,newFields,this.getModificationFields()));\n};\n\n/*\nReturn the content of a tiddler as an array containing each line\n*/\nexports.getTiddlerList = function(title,field,index) {\n\tif(index) {\n\t\treturn $tw.utils.parseStringArray(this.extractTiddlerDataItem(title,index,\"\"));\n\t}\n\tfield = field || \"list\";\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\treturn ($tw.utils.parseStringArray(tiddler.fields[field]) || []).slice(0);\n\t}\n\treturn [];\n};\n\n// Return a named global cache object. Global cache objects are cleared whenever a tiddler change occurs\nexports.getGlobalCache = function(cacheName,initializer) {\n\tthis.globalCache = this.globalCache || Object.create(null);\n\tif($tw.utils.hop(this.globalCache,cacheName)) {\n\t\treturn this.globalCache[cacheName];\n\t} else {\n\t\tthis.globalCache[cacheName] = initializer();\n\t\treturn this.globalCache[cacheName];\n\t}\n};\n\nexports.clearGlobalCache = function() {\n\tthis.globalCache = Object.create(null);\n};\n\n// Return the named cache object for a tiddler. If the cache doesn't exist then the initializer function is invoked to create it\nexports.getCacheForTiddler = function(title,cacheName,initializer) {\n\tthis.caches = this.caches || Object.create(null);\n\tvar caches = this.caches[title];\n\tif(caches && caches[cacheName]) {\n\t\treturn caches[cacheName];\n\t} else {\n\t\tif(!caches) {\n\t\t\tcaches = Object.create(null);\n\t\t\tthis.caches[title] = caches;\n\t\t}\n\t\tcaches[cacheName] = initializer();\n\t\treturn caches[cacheName];\n\t}\n};\n\n// Clear all caches associated with a particular tiddler, or, if the title is null, clear all the caches for all the tiddlers\nexports.clearCache = function(title) {\n\tif(title) {\n\t\tthis.caches = this.caches || Object.create(null);\n\t\tif($tw.utils.hop(this.caches,title)) {\n\t\t\tdelete this.caches[title];\n\t\t}\n\t} else {\n\t\tthis.caches = Object.create(null);\n\t}\n};\n\nexports.initParsers = function(moduleType) {\n\t// Install the parser modules\n\t$tw.Wiki.parsers = {};\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(\"parser\",function(title,module) {\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\t$tw.Wiki.parsers[f] = module[f]; // Store the parser class\n\t\t\t}\n\t\t}\n\t});\n\t// Use the generic binary parser for any binary types not registered so far\n\tif($tw.Wiki.parsers[\"application/octet-stream\"]) {\n\t\tObject.keys($tw.config.contentTypeInfo).forEach(function(type) {\n\t\t\tif(!$tw.utils.hop($tw.Wiki.parsers,type) && $tw.config.contentTypeInfo[type].encoding === \"base64\") {\n\t\t\t\t$tw.Wiki.parsers[type] = $tw.Wiki.parsers[\"application/octet-stream\"];\n\t\t\t}\n\t\t});\t\t\n\t}\n};\n\n/*\nParse a block of text of a specified MIME type\n\ttype: content type of text to be parsed\n\ttext: text\n\toptions: see below\nOptions include:\n\tparseAsInline: if true, the text of the tiddler will be parsed as an inline run\n\t_canonical_uri: optional string of the canonical URI of this content\n*/\nexports.parseText = function(type,text,options) {\n\ttext = text || \"\";\n\toptions = options || {};\n\t// Select a parser\n\tvar Parser = $tw.Wiki.parsers[type];\n\tif(!Parser && $tw.utils.getFileExtensionInfo(type)) {\n\t\tParser = $tw.Wiki.parsers[$tw.utils.getFileExtensionInfo(type).type];\n\t}\n\tif(!Parser) {\n\t\tParser = $tw.Wiki.parsers[options.defaultType || \"text/vnd.tiddlywiki\"];\n\t}\n\tif(!Parser) {\n\t\treturn null;\n\t}\n\t// Return the parser instance\n\treturn new Parser(type,text,{\n\t\tparseAsInline: options.parseAsInline,\n\t\twiki: this,\n\t\t_canonical_uri: options._canonical_uri\n\t});\n};\n\n/*\nParse a tiddler according to its MIME type\n*/\nexports.parseTiddler = function(title,options) {\n\toptions = $tw.utils.extend({},options);\n\tvar cacheType = options.parseAsInline ? \"inlineParseTree\" : \"blockParseTree\",\n\t\ttiddler = this.getTiddler(title),\n\t\tself = this;\n\treturn tiddler ? this.getCacheForTiddler(title,cacheType,function() {\n\t\t\tif(tiddler.hasField(\"_canonical_uri\")) {\n\t\t\t\toptions._canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t}\n\t\t\treturn self.parseText(tiddler.fields.type,tiddler.fields.text,options);\n\t\t}) : null;\n};\n\nexports.parseTextReference = function(title,field,index,options) {\n\tvar tiddler,text;\n\tif(options.subTiddler) {\n\t\ttiddler = this.getSubTiddler(title,options.subTiddler);\n\t} else {\n\t\ttiddler = this.getTiddler(title);\n\t\tif(field === \"text\" || (!field && !index)) {\n\t\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\t\treturn this.parseTiddler(title,options);\n\t\t}\n\t}\n\tif(field === \"text\" || (!field && !index)) {\n\t\tif(tiddler && tiddler.fields) {\n\t\t\treturn this.parseText(tiddler.fields.type,tiddler.fields.text,options);\t\t\t\n\t\t} else {\n\t\t\treturn null;\n\t\t}\n\t} else if(field) {\n\t\tif(field === \"title\") {\n\t\t\ttext = title;\n\t\t} else {\n\t\t\tif(!tiddler || !tiddler.hasField(field)) {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t\ttext = tiddler.fields[field];\n\t\t}\n\t\treturn this.parseText(\"text/vnd.tiddlywiki\",text.toString(),options);\n\t} else if(index) {\n\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\ttext = this.extractTiddlerDataItem(tiddler,index,undefined);\n\t\tif(text === undefined) {\n\t\t\treturn null;\n\t\t}\n\t\treturn this.parseText(\"text/vnd.tiddlywiki\",text,options);\n\t}\n};\n\n/*\nMake a widget tree for a parse tree\nparser: parser object\noptions: see below\nOptions include:\ndocument: optional document to use\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.makeWidget = function(parser,options) {\n\toptions = options || {};\n\tvar widgetNode = {\n\t\t\ttype: \"widget\",\n\t\t\tchildren: []\n\t\t},\n\t\tcurrWidgetNode = widgetNode;\n\t// Create set variable widgets for each variable\n\t$tw.utils.each(options.variables,function(value,name) {\n\t\tvar setVariableWidget = {\n\t\t\ttype: \"set\",\n\t\t\tattributes: {\n\t\t\t\tname: {type: \"string\", value: name},\n\t\t\t\tvalue: {type: \"string\", value: value}\n\t\t\t},\n\t\t\tchildren: []\n\t\t};\n\t\tcurrWidgetNode.children = [setVariableWidget];\n\t\tcurrWidgetNode = setVariableWidget;\n\t});\n\t// Add in the supplied parse tree nodes\n\tcurrWidgetNode.children = parser ? parser.tree : [];\n\t// Create the widget\n\treturn new widget.widget(widgetNode,{\n\t\twiki: this,\n\t\tdocument: options.document || $tw.fakeDocument,\n\t\tparentWidget: options.parentWidget\n\t});\n};\n\n/*\nMake a widget tree for transclusion\ntitle: target tiddler title\noptions: as for wiki.makeWidget() plus:\noptions.field: optional field to transclude (defaults to \"text\")\noptions.mode: transclusion mode \"inline\" or \"block\"\noptions.children: optional array of children for the transclude widget\noptions.importVariables: optional importvariables filter string for macros to be included\noptions.importPageMacros: optional boolean; if true, equivalent to passing \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\" to options.importVariables\n*/\nexports.makeTranscludeWidget = function(title,options) {\n\toptions = options || {};\n\tvar parseTreeDiv = {tree: [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"div\",\n\t\t\tchildren: []}]},\n\t\tparseTreeImportVariables = {\n\t\t\ttype: \"importvariables\",\n\t\t\tattributes: {\n\t\t\t\tfilter: {\n\t\t\t\t\tname: \"filter\",\n\t\t\t\t\ttype: \"string\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tisBlock: false,\n\t\t\tchildren: []},\n\t\tparseTreeTransclude = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {\n\t\t\t\t\tname: \"tiddler\",\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title}},\n\t\t\tisBlock: !options.parseAsInline};\n\tif(options.importVariables || options.importPageMacros) {\n\t\tif(options.importVariables) {\n\t\t\tparseTreeImportVariables.attributes.filter.value = options.importVariables;\n\t\t} else if(options.importPageMacros) {\n\t\t\tparseTreeImportVariables.attributes.filter.value = \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\";\n\t\t}\n\t\tparseTreeDiv.tree[0].children.push(parseTreeImportVariables);\n\t\tparseTreeImportVariables.children.push(parseTreeTransclude);\n\t} else {\n\t\tparseTreeDiv.tree[0].children.push(parseTreeTransclude);\n\t}\n\tif(options.field) {\n\t\tparseTreeTransclude.attributes.field = {type: \"string\", value: options.field};\n\t}\n\tif(options.mode) {\n\t\tparseTreeTransclude.attributes.mode = {type: \"string\", value: options.mode};\n\t}\n\tif(options.children) {\n\t\tparseTreeTransclude.children = options.children;\n\t}\n\treturn $tw.wiki.makeWidget(parseTreeDiv,options);\n};\n\n/*\nParse text in a specified format and render it into another format\n\toutputType: content type for the output\n\ttextType: content type of the input text\n\ttext: input text\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderText = function(outputType,textType,text,options) {\n\toptions = options || {};\n\tvar parser = this.parseText(textType,text,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : container.textContent;\n};\n\n/*\nParse text from a tiddler and render it into another format\n\toutputType: content type for the output\n\ttitle: title of the tiddler to be rendered\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderTiddler = function(outputType,title,options) {\n\toptions = options || {};\n\tvar parser = this.parseTiddler(title,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : (outputType === \"text/plain-formatted\" ? container.formattedTextContent : container.textContent);\n};\n\n/*\nReturn an array of tiddler titles that match a search string\n\ttext: The text string to search for\n\toptions: see below\nOptions available:\n\tsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\n\texclude: An array of tiddler titles to exclude from the search\n\tinvert: If true returns tiddlers that do not contain the specified string\n\tcaseSensitive: If true forces a case sensitive search\n\tfield: If specified, restricts the search to the specified field, or an array of field names\n\tanchored: If true, forces all but regexp searches to be anchored to the start of text\n\texcludeField: If true, the field options are inverted to specify the fields that are not to be searched\n\tThe search mode is determined by the first of these boolean flags to be true\n\t\tliteral: searches for literal string\n\t\twhitespace: same as literal except runs of whitespace are treated as a single space\n\t\tregexp: treats the search term as a regular expression\n\t\twords: (default) treats search string as a list of tokens, and matches if all tokens are found, regardless of adjacency or ordering\n*/\nexports.search = function(text,options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tt,\n\t\tinvert = !!options.invert;\n\t// Convert the search string into a regexp for each term\n\tvar terms, searchTermsRegExps,\n\t\tflags = options.caseSensitive ? \"\" : \"i\",\n\t\tanchor = options.anchored ? \"^\" : \"\";\n\tif(options.literal) {\n\t\tif(text.length === 0) {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [new RegExp(\"(\" + anchor + $tw.utils.escapeRegExp(text) + \")\",flags)];\n\t\t}\n\t} else if(options.whitespace) {\n\t\tterms = [];\n\t\t$tw.utils.each(text.split(/\\s+/g),function(term) {\n\t\t\tif(term) {\n\t\t\t\tterms.push($tw.utils.escapeRegExp(term));\n\t\t\t}\n\t\t});\n\t\tsearchTermsRegExps = [new RegExp(\"(\" + anchor + terms.join(\"\\\\s+\") + \")\",flags)];\n\t} else if(options.regexp) {\n\t\ttry {\n\t\t\tsearchTermsRegExps = [new RegExp(\"(\" + text + \")\",flags)];\t\t\t\n\t\t} catch(e) {\n\t\t\tsearchTermsRegExps = null;\n\t\t\tconsole.log(\"Regexp error parsing /(\" + text + \")/\" + flags + \": \",e);\n\t\t}\n\t} else {\n\t\tterms = text.split(/ +/);\n\t\tif(terms.length === 1 && terms[0] === \"\") {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [];\n\t\t\tfor(t=0; t<terms.length; t++) {\n\t\t\t\tsearchTermsRegExps.push(new RegExp(\"(\" + anchor + $tw.utils.escapeRegExp(terms[t]) + \")\",flags));\n\t\t\t}\n\t\t}\n\t}\n\t// Accumulate the array of fields to be searched or excluded from the search\n\tvar fields = [];\n\tif(options.field) {\n\t\tif($tw.utils.isArray(options.field)) {\n\t\t\t$tw.utils.each(options.field,function(fieldName) {\n\t\t\t\tif(fieldName) {\n\t\t\t\t\tfields.push(fieldName);\t\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tfields.push(options.field);\n\t\t}\n\t}\n\t// Use default fields if none specified and we're not excluding fields (excluding fields with an empty field array is the same as searching all fields)\n\tif(fields.length === 0 && !options.excludeField) {\n\t\tfields.push(\"title\");\n\t\tfields.push(\"tags\");\n\t\tfields.push(\"text\");\n\t}\n\t// Function to check a given tiddler for the search term\n\tvar searchTiddler = function(title) {\n\t\tif(!searchTermsRegExps) {\n\t\t\treturn true;\n\t\t}\n\t\tvar notYetFound = searchTermsRegExps.slice();\n\n\t\tvar tiddler = self.getTiddler(title);\n\t\tif(!tiddler) {\n\t\t\ttiddler = new $tw.Tiddler({title: title, text: \"\", type: \"text/vnd.tiddlywiki\"});\n\t\t}\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type] || $tw.config.contentTypeInfo[\"text/vnd.tiddlywiki\"],\n\t\t\tsearchFields;\n\t\t// Get the list of fields we're searching\n\t\tif(options.excludeField) {\n\t\t\tsearchFields = Object.keys(tiddler.fields);\n\t\t\t$tw.utils.each(fields,function(fieldName) {\n\t\t\t\tvar p = searchFields.indexOf(fieldName);\n\t\t\t\tif(p !== -1) {\n\t\t\t\t\tsearchFields.splice(p,1);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsearchFields = fields;\n\t\t}\n\t\tfor(var fieldIndex=0; notYetFound.length>0 && fieldIndex<searchFields.length; fieldIndex++) {\n\t\t\t// Don't search the text field if the content type is binary\n\t\t\tvar fieldName = searchFields[fieldIndex];\n\t\t\tif(fieldName === \"text\" && contentTypeInfo.encoding !== \"utf8\") {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tvar str = tiddler.fields[fieldName],\n\t\t\t\tt;\n\t\t\tif(str) {\n\t\t\t\tif($tw.utils.isArray(str)) {\n\t\t\t\t\t// If the field value is an array, test each regexp against each field array entry and fail if each regexp doesn't match at least one field array entry\n\t\t\t\t\tfor(var s=0; s<str.length; s++) {\n\t\t\t\t\t\tfor(t=0; t<notYetFound.length;) {\n\t\t\t\t\t\t\tif(notYetFound[t].test(str[s])) {\n\t\t\t\t\t\t\t\tnotYetFound.splice(t, 1);\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tt++;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// If the field isn't an array, force it to a string and test each regexp against it and fail if any do not match\n\t\t\t\t\tstr = tiddler.getFieldString(fieldName);\n\t\t\t\t\tfor(t=0; t<notYetFound.length;) {\n\t\t\t\t\t\tif(notYetFound[t].test(str)) {\n\t\t\t\t\t\t\tnotYetFound.splice(t, 1);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tt++;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t\treturn notYetFound.length == 0;\n\t};\n\t// Loop through all the tiddlers doing the search\n\tvar results = [],\n\t\tsource = options.source || this.each;\n\tsource(function(tiddler,title) {\n\t\tif(searchTiddler(title) !== options.invert) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\t// Remove any of the results we have to exclude\n\tif(options.exclude) {\n\t\tfor(t=0; t<options.exclude.length; t++) {\n\t\t\tvar p = results.indexOf(options.exclude[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tresults.splice(p,1);\n\t\t\t}\n\t\t}\n\t}\n\treturn results;\n};\n\n/*\nTrigger a load for a tiddler if it is skinny. Returns the text, or undefined if the tiddler is missing, null if the tiddler is being lazily loaded.\n*/\nexports.getTiddlerText = function(title,defaultText) {\n\tvar tiddler = this.getTiddler(title);\n\t// Return undefined if the tiddler isn't found\n\tif(!tiddler) {\n\t\treturn defaultText;\n\t}\n\tif(!tiddler.hasField(\"_is_skinny\")) {\n\t\t// Just return the text if we've got it\n\t\treturn tiddler.fields.text || \"\";\n\t} else {\n\t\t// Tell any listeners about the need to lazily load this tiddler\n\t\tthis.dispatchEvent(\"lazyLoad\",title);\n\t\t// Indicate that the text is being loaded\n\t\treturn null;\n\t}\n};\n\n/*\nCheck whether the text of a tiddler matches a given value. By default, the comparison is case insensitive, and any spaces at either end of the tiddler text is trimmed\n*/\nexports.checkTiddlerText = function(title,targetText,options) {\n\toptions = options || {};\n\tvar text = this.getTiddlerText(title,\"\");\n\tif(!options.noTrim) {\n\t\ttext = text.trim();\n\t}\n\tif(!options.caseSensitive) {\n\t\ttext = text.toLowerCase();\n\t\ttargetText = targetText.toLowerCase();\n\t}\n\treturn text === targetText;\n}\n\n/*\nRead an array of browser File objects, invoking callback(tiddlerFieldsArray) once they're all read\n*/\nexports.readFiles = function(files,options) {\n\tvar callback;\n\tif(typeof options === \"function\") {\n\t\tcallback = options;\n\t\toptions = {};\n\t} else {\n\t\tcallback = options.callback;\n\t}\n\tvar result = [],\n\t\toutstanding = files.length,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tresult.push.apply(result,tiddlerFieldsArray);\n\t\t\tif(--outstanding === 0) {\n\t\t\t\tcallback(result);\n\t\t\t}\n\t\t};\n\tfor(var f=0; f<files.length; f++) {\n\t\tthis.readFile(files[f],$tw.utils.extend({},options,{callback: readFileCallback}));\n\t}\n\treturn files.length;\n};\n\n/*\nRead a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFile = function(file,options) {\n\tvar callback;\n\tif(typeof options === \"function\") {\n\t\tcallback = options;\n\t\toptions = {};\n\t} else {\n\t\tcallback = options.callback;\n\t}\n\t// Get the type, falling back to the filename extension\n\tvar self = this,\n\t\ttype = file.type;\n\tif(type === \"\" || !type) {\n\t\tvar dotPos = file.name.lastIndexOf(\".\");\n\t\tif(dotPos !== -1) {\n\t\t\tvar fileExtensionInfo = $tw.utils.getFileExtensionInfo(file.name.substr(dotPos));\n\t\t\tif(fileExtensionInfo) {\n\t\t\t\ttype = fileExtensionInfo.type;\n\t\t\t}\n\t\t}\n\t}\n\t// Figure out if we're reading a binary file\n\tvar contentTypeInfo = $tw.config.contentTypeInfo[type],\n\t\tisBinary = contentTypeInfo ? contentTypeInfo.encoding === \"base64\" : false;\n\t// Log some debugging information\n\tif($tw.log.IMPORT) {\n\t\tconsole.log(\"Importing file '\" + file.name + \"', type: '\" + type + \"', isBinary: \" + isBinary);\n\t}\n\t// Give the hook a chance to process the drag\n\tif($tw.hooks.invokeHook(\"th-importing-file\",{\n\t\tfile: file,\n\t\ttype: type,\n\t\tisBinary: isBinary,\n\t\tcallback: callback\n\t}) !== true) {\n\t\tthis.readFileContent(file,type,isBinary,options.deserializer,callback);\n\t}\n};\n\n/*\nLower level utility to read the content of a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFileContent = function(file,type,isBinary,deserializer,callback) {\n\tvar self = this;\n\t// Create the FileReader\n\tvar reader = new FileReader();\n\t// Onload\n\treader.onload = function(event) {\n\t\tvar text = event.target.result,\n\t\t\ttiddlerFields = {title: file.name || \"Untitled\", type: type};\n\t\tif(isBinary) {\n\t\t\tvar commaPos = text.indexOf(\",\");\n\t\t\tif(commaPos !== -1) {\n\t\t\t\ttext = text.substr(commaPos + 1);\n\t\t\t}\n\t\t}\n\t\t// Check whether this is an encrypted TiddlyWiki file\n\t\tvar encryptedJson = $tw.utils.extractEncryptedStoreArea(text);\n\t\tif(encryptedJson) {\n\t\t\t// If so, attempt to decrypt it with the current password\n\t\t\t$tw.utils.decryptStoreAreaInteractive(encryptedJson,function(tiddlers) {\n\t\t\t\tcallback(tiddlers);\n\t\t\t});\n\t\t} else {\n\t\t\t// Otherwise, just try to deserialise any tiddlers in the file\n\t\t\tcallback(self.deserializeTiddlers(type,text,tiddlerFields,{deserializer: deserializer}));\n\t\t}\n\t};\n\t// Kick off the read\n\tif(isBinary) {\n\t\treader.readAsDataURL(file);\n\t} else {\n\t\treader.readAsText(file);\n\t}\n};\n\n/*\nFind any existing draft of a specified tiddler\n*/\nexports.findDraft = function(targetTitle) {\n\tvar draftTitle = undefined;\n\tthis.forEachTiddler({includeSystem: true},function(title,tiddler) {\n\t\tif(tiddler.fields[\"draft.title\"] && tiddler.fields[\"draft.of\"] === targetTitle) {\n\t\t\tdraftTitle = title;\n\t\t}\n\t});\n\treturn draftTitle;\n}\n\n/*\nCheck whether the specified draft tiddler has been modified.\nIf the original tiddler doesn't exist, create  a vanilla tiddler variable,\nto check if additional fields have been added.\n*/\nexports.isDraftModified = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(!tiddler.isDraft()) {\n\t\treturn false;\n\t}\n\tvar ignoredFields = [\"created\", \"modified\", \"title\", \"draft.title\", \"draft.of\"],\n\t\torigTiddler = this.getTiddler(tiddler.fields[\"draft.of\"]) || new $tw.Tiddler({text:\"\", tags:[]}),\n\t\ttitleModified = tiddler.fields[\"draft.title\"] !== tiddler.fields[\"draft.of\"];\n\treturn titleModified || !tiddler.isEqual(origTiddler,ignoredFields);\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\nhistoryTitle: title of history tiddler (defaults to $:/HistoryList)\n*/\nexports.addToHistory = function(title,fromPageRect,historyTitle) {\n\tvar story = new $tw.Story({wiki: this, historyTitle: historyTitle});\n\tstory.addToHistory(title,fromPageRect);\t\t\n};\n\n/*\nAdd a new tiddler to the story river\ntitle: a title string or an array of title strings\nfromTitle: the title of the tiddler from which the navigation originated\nstoryTitle: title of story tiddler (defaults to $:/StoryList)\noptions: see story.js\n*/\nexports.addToStory = function(title,fromTitle,storyTitle,options) {\n\tvar story = new $tw.Story({wiki: this, storyTitle: storyTitle});\n\tstory.addToStory(title,fromTitle,options);\t\t\n};\n\n/*\nGenerate a title for the draft of a given tiddler\n*/\nexports.generateDraftTitle = function(title) {\n\tvar c = 0,\n\t\tdraftTitle,\n\t\tusername = this.getTiddlerText(\"$:/status/UserName\"),\n\t\tattribution = username ? \" by \" + username : \"\";\n\tdo {\n\t\tdraftTitle = \"Draft \" + (c ? (c + 1) + \" \" : \"\") + \"of '\" + title + \"'\" + attribution;\n\t\tc++;\n\t} while(this.tiddlerExists(draftTitle));\n\treturn draftTitle;\n};\n\n/*\nInvoke the available upgrader modules\ntitles: array of tiddler titles to be processed\ntiddlers: hashmap by title of tiddler fields of pending import tiddlers. These can be modified by the upgraders. An entry with no fields indicates a tiddler that was pending import has been suppressed. When entries are added to the pending import the tiddlers hashmap may have entries that are not present in the titles array\nReturns a hashmap of messages keyed by tiddler title.\n*/\nexports.invokeUpgraders = function(titles,tiddlers) {\n\t// Collect up the available upgrader modules\n\tvar self = this;\n\tif(!this.upgraderModules) {\n\t\tthis.upgraderModules = [];\n\t\t$tw.modules.forEachModuleOfType(\"upgrader\",function(title,module) {\n\t\t\tif(module.upgrade) {\n\t\t\t\tself.upgraderModules.push(module);\n\t\t\t}\n\t\t});\n\t}\n\t// Invoke each upgrader in turn\n\tvar messages = {};\n\tfor(var t=0; t<this.upgraderModules.length; t++) {\n\t\tvar upgrader = this.upgraderModules[t],\n\t\t\tupgraderMessages = upgrader.upgrade(this,titles,tiddlers);\n\t\t$tw.utils.extend(messages,upgraderMessages);\n\t}\n\treturn messages;\n};\n\n// Determine whether a plugin by title is dynamically loadable\nexports.doesPluginRequireReload = function(title) {\n\treturn this.doesPluginInfoRequireReload(this.getPluginInfo(title) || this.getTiddlerDataCached(title));\n};\n\n// Determine whether a plugin info structure is dynamically loadable\nexports.doesPluginInfoRequireReload = function(pluginInfo) {\n\tif(pluginInfo) {\n\t\tvar foundModule = false;\n\t\t$tw.utils.each(pluginInfo.tiddlers,function(tiddler) {\n\t\t\tif(tiddler.type === \"application/javascript\" && $tw.utils.hop(tiddler,\"module-type\")) {\n\t\t\t\tfoundModule = true;\n\t\t\t}\n\t\t});\n\t\treturn foundModule;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "wikimethod"
        },
        "$:/palettes/Blanca": {
            "title": "$:/palettes/Blanca",
            "name": "Blanca",
            "description": "A clean white palette to let you focus",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #66cccc\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ffffff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #7897f3\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ccc\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #ffffff\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #7897f3\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #eeeeee\ntab-border-selected: #cccccc\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffeedd\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: #eee\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #ff9900\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
        },
        "$:/palettes/Blue": {
            "title": "$:/palettes/Blue",
            "name": "Blue",
            "description": "A blue theme",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333353\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ddddff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #5959c0\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: #ccccdd\ntab-border-selected: #ccccdd\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #eeeeff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #666666\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #ffffff\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #ffffff\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #5959c0\ntoolbar-new-button: #5eb95e\ntoolbar-options-button: rgb(128, 88, 165)\ntoolbar-save-button: #0e90d2\ntoolbar-info-button: #0e90d2\ntoolbar-edit-button: rgb(243, 123, 29)\ntoolbar-close-button: #dd514c\ntoolbar-delete-button: #dd514c\ntoolbar-cancel-button: rgb(243, 123, 29)\ntoolbar-done-button: #5eb95e\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
        },
        "$:/palettes/Muted": {
            "title": "$:/palettes/Muted",
            "name": "Muted",
            "description": "Bright tiddlers on a muted background",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #6f6f70\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #29a6ee\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #c2c1c2\nsidebar-foreground-shadow: rgba(255,255,255,0)\nsidebar-foreground: #d3d2d4\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #6f6f70\nsidebar-tab-background: #666667\nsidebar-tab-border-selected: #999\nsidebar-tab-border: #515151\nsidebar-tab-divider: #999\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: #999\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #d1d0d2\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #d5ad34\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
        },
        "$:/palettes/ContrastLight": {
            "title": "$:/palettes/ContrastLight",
            "name": "Contrast (Light)",
            "description": "High contrast and unambiguous (light version)",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #000\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #000\ntag-foreground: #fff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"
        },
        "$:/palettes/ContrastDark": {
            "title": "$:/palettes/ContrastDark",
            "name": "Contrast (Dark)",
            "description": "High contrast and unambiguous (dark version)",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #000\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #fff\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #fff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"
        },
        "$:/palettes/DarkPhotos": {
            "title": "$:/palettes/DarkPhotos",
            "created": "20150402111612188",
            "description": "Good with dark photo backgrounds",
            "modified": "20150402112344080",
            "name": "DarkPhotos",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: \nbutton-foreground: \nbutton-border: \ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #ddd\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #336438\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #ccf\nsidebar-controls-foreground: #fff\nsidebar-foreground-shadow: rgba(0,0,0, 0.5)\nsidebar-foreground: #fff\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #eee\nsidebar-tab-background-selected: rgba(255,255,255, 0.8)\nsidebar-tab-background: rgba(255,255,255, 0.4)\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: rgba(255,255,255, 0.2)\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #aaf\nsidebar-tiddler-link-foreground: #ddf\nsite-title-foreground: #fff\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
        },
        "$:/palettes/GruvboxDark": {
            "title": "$:/palettes/GruvboxDark",
            "name": "Gruvbox Dark",
            "description": "Retro groove color scheme",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "license": "https://github.com/morhetz/gruvbox",
            "text": "alert-background: #cc241d\nalert-border: #cc241d\nalert-highlight: #d79921\nalert-muted-foreground: #504945\nbackground: #3c3836\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: #504945\nbutton-foreground: #fbf1c7\nbutton-border: transparent\ncode-background: #504945\ncode-border: #504945\ncode-foreground: #fb4934\ndiff-delete-background: #fb4934\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #b8bb26\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #fb4934\ndownload-background: #b8bb26\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #665c54\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #ebdbb2\ndropdown-tab-background: #665c54\ndropzone-background: #98971a\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #d3869b\nexternal-link-foreground: #8ec07c\nforeground: #fbf1c7\nmenubar-background: #504945\nmenubar-foreground: <<colour foreground>>\nmessage-background: #83a598\nmessage-border: #83a598\nmessage-foreground: #3c3836\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #504945\nmodal-footer-background: #3c3836\nmodal-footer-border: #3c3836\nmodal-header-border: #3c3836\nmuted-foreground: #d5c4a1\nnotification-background: <<colour primary>>\nnotification-border: <<colour primary>>\npage-background: #282828\npre-background: #504945\npre-border: #504945\nprimary: #d79921\nselect-tag-background: #665c54\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #7c6f64\nsidebar-controls-foreground: #504945\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #fbf1c7\nsidebar-muted-foreground-hover: #7c6f64\nsidebar-muted-foreground: #504945\nsidebar-tab-background-selected: #bdae93\nsidebar-tab-background: #3c3836\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #bdae93\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #282828\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #458588\nsidebar-tiddler-link-foreground: #98971a\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #B48EAD\ntab-background-selected: #ebdbb2\ntab-background: #665c54\ntab-border-selected: #665c54\ntab-border: #665c54\ntab-divider: #bdae93\ntab-foreground-selected: #282828\ntab-foreground: #ebdbb2\ntable-border: #7c6f64\ntable-footer-background: #665c54\ntable-header-background: #504945\ntag-background: #d3869b\ntag-foreground: #282828\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #7c6f64\ntiddler-controls-foreground-selected: #7c6f64\ntiddler-controls-foreground: #665c54\ntiddler-editor-background: #282828\ntiddler-editor-border-image: #282828\ntiddler-editor-border: #282828\ntiddler-editor-fields-even: #504945\ntiddler-editor-fields-odd: #7c6f64\ntiddler-info-background: #32302f\ntiddler-info-border: #ebdbb2\ntiddler-info-tab-background: #ebdbb2\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #7c6f64\ntiddler-title-foreground: #a89984\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #504945\nvery-muted-foreground: #bdae93\nwikilist-background: <<colour page-background>>\nwikilist-button-background: <<colour button-background>>\nwikilist-button-foreground: <<colour button-foreground>>\nwikilist-item: <<colour background>>\nwikilist-toolbar-background: <<colour background>>\nwikilist-toolbar-foreground: <<colour foreground>>\nwikilist-title: <<colour foreground>>\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: <<colour muted-foreground>>\nwikilist-button-open-hover: <<colour primary>>\nwikilist-button-open: <<colour dropzone-background>>\nwikilist-button-remove: <<colour dirty-indicator>>\nwikilist-button-remove-hover: <<colour alert-background>>\nwikilist-droplink-dragover: <<colour dropzone-background>>\nwikilist-button-reveal: <<colour sidebar-tiddler-link-foreground-hover>>\nwikilist-button-reveal-hover: <<colour message-background>>"
        },
        "$:/palettes/Nord": {
            "title": "$:/palettes/Nord",
            "name": "Nord",
            "description": "An arctic, north-bluish color palette.",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "license": "MIT, arcticicestudio, https://github.com/arcticicestudio/nord/blob/develop/LICENSE.md",
            "text": "alert-background: #D08770\nalert-border: #D08770\nalert-highlight: #B48EAD\nalert-muted-foreground: #4C566A\nbackground: #3b4252\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: #4C566A\nbutton-foreground: #D8DEE9\nbutton-border: transparent\ncode-background: #2E3440\ncode-border: #2E3440\ncode-foreground: #BF616A\ndiff-delete-background: #BF616A\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #A3BE8C\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #BF616A\ndownload-background: #A3BE8C\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #ECEFF4\ndropdown-tab-background: #4C566A\ndropzone-background: #A3BE8C\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #5E81AC\nexternal-link-foreground: #8FBCBB\nforeground: #d8dee9\nmenubar-background: #2E3440\nmenubar-foreground: #d8dee9\nmessage-background: #2E3440\nmessage-border: #2E3440\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #3b4252\nmodal-footer-background: #3b4252\nmodal-footer-border: #3b4252\nmodal-header-border: #3b4252\nmuted-foreground: #4C566A\nnotification-background: <<colour primary>>\nnotification-border: #EBCB8B\npage-background: #2e3440\npre-background: #2E3440\npre-border: #2E3440\nprimary: #5E81AC\nselect-tag-background: #3b4252\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #D8DEE9\nsidebar-controls-foreground: #4C566A\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #D8DEE9\nsidebar-muted-foreground-hover: #4C566A\nsidebar-muted-foreground: #4C566A\nsidebar-tab-background-selected: #ECEFF4\nsidebar-tab-background: #4C566A\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #4C566A\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #4C566A\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #A3BE8C\nsidebar-tiddler-link-foreground: #81A1C1\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #B48EAD\ntab-background-selected: #ECEFF4\ntab-background: #4C566A\ntab-border-selected: #4C566A\ntab-border: #4C566A\ntab-divider: #4C566A\ntab-foreground-selected: #4C566A\ntab-foreground: #D8DEE9\ntable-border: #4C566A\ntable-footer-background: #2e3440\ntable-header-background: #2e3440\ntag-background: #A3BE8C\ntag-foreground: #4C566A\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: \ntiddler-controls-foreground-selected: #EBCB8B\ntiddler-controls-foreground: #4C566A\ntiddler-editor-background: #2e3440\ntiddler-editor-border-image: #2e3440\ntiddler-editor-border: #2e3440\ntiddler-editor-fields-even: #2e3440\ntiddler-editor-fields-odd: #2e3440\ntiddler-info-background: #2e3440\ntiddler-info-border: #2e3440\ntiddler-info-tab-background: #2e3440\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #4C566A\ntiddler-title-foreground: #81A1C1\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #2d3038\nvery-muted-foreground: #2d3038\n"
        },
        "$:/palettes/Rocker": {
            "title": "$:/palettes/Rocker",
            "name": "Rocker",
            "description": "A dark theme",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #000\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #cc0000\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.0)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #000\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #ffbb99\nsidebar-tiddler-link-foreground: #cc0000\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffbb99\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #cc0000\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
        },
        "$:/palettes/SolarFlare": {
            "title": "$:/palettes/SolarFlare",
            "name": "Solar Flare",
            "description": "Warm, relaxing earth colours",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": ": Background Tones\n\nbase03: #002b36\nbase02: #073642\n\n: Content Tones\n\nbase01: #586e75\nbase00: #657b83\nbase0: #839496\nbase1: #93a1a1\n\n: Background Tones\n\nbase2: #eee8d5\nbase3: #fdf6e3\n\n: Accent Colors\n\nyellow: #b58900\norange: #cb4b16\nred: #dc322f\nmagenta: #d33682\nviolet: #6c71c4\nblue: #268bd2\ncyan: #2aa198\ngreen: #859900\n\n: Additional Tones (RA)\n\nbase10: #c0c4bb\nviolet-muted: #7c81b0\nblue-muted: #4e7baa\n\nyellow-hot: #ffcc44\norange-hot: #eb6d20\nred-hot: #ff2222\nblue-hot: #2298ee\ngreen-hot: #98ee22\n\n: Palette\n\n: Do not use colour macro for background and foreground\nbackground: #fdf6e3\n    download-foreground: <<colour background>>\n    dragger-foreground: <<colour background>>\n    dropdown-background: <<colour background>>\n    modal-background: <<colour background>>\n    sidebar-foreground-shadow: <<colour background>>\n    tiddler-background: <<colour background>>\n    tiddler-border: <<colour background>>\n    tiddler-link-background: <<colour background>>\n    tab-background-selected: <<colour background>>\n        dropdown-tab-background-selected: <<colour tab-background-selected>>\nforeground: #657b83\n    dragger-background: <<colour foreground>>\n    tab-foreground: <<colour foreground>>\n        tab-foreground-selected: <<colour tab-foreground>>\n            sidebar-tab-foreground-selected: <<colour tab-foreground-selected>>\n        sidebar-tab-foreground: <<colour tab-foreground>>\n    sidebar-button-foreground: <<colour foreground>>\n    sidebar-controls-foreground: <<colour foreground>>\n    sidebar-foreground: <<colour foreground>>\n: base03\n: base02\n: base01\n    alert-muted-foreground: <<colour base01>>\n: base00\n    code-foreground: <<colour base00>>\n    message-foreground: <<colour base00>>\n    tag-foreground: <<colour base00>>\n: base0\n    sidebar-tiddler-link-foreground: <<colour base0>>\n: base1\n    muted-foreground: <<colour base1>>\n        blockquote-bar: <<colour muted-foreground>>\n        dropdown-border: <<colour muted-foreground>>\n        sidebar-muted-foreground: <<colour muted-foreground>>\n        tiddler-title-foreground: <<colour muted-foreground>>\n            site-title-foreground: <<colour tiddler-title-foreground>>\n: base2\n    modal-footer-background: <<colour base2>>\n    page-background: <<colour base2>>\n        modal-backdrop: <<colour page-background>>\n        notification-background: <<colour page-background>>\n        code-background: <<colour page-background>>\n            code-border: <<colour code-background>>\n        pre-background: <<colour page-background>>\n            pre-border: <<colour pre-background>>\n        sidebar-tab-background-selected: <<colour page-background>>\n    table-header-background: <<colour base2>>\n    tag-background: <<colour base2>>\n    tiddler-editor-background: <<colour base2>>\n    tiddler-info-background: <<colour base2>>\n    tiddler-info-tab-background: <<colour base2>>\n    tab-background: <<colour base2>>\n        dropdown-tab-background: <<colour tab-background>>\n: base3\n    alert-background: <<colour base3>>\n    message-background: <<colour base3>>\n: yellow\n: orange\n: red\n: magenta\n    alert-highlight: <<colour magenta>>\n: violet\n    external-link-foreground: <<colour violet>>\n: blue\n: cyan\n: green\n: base10\n    tiddler-controls-foreground: <<colour base10>>\n: violet-muted\n    external-link-foreground-visited: <<colour violet-muted>>\n: blue-muted\n    primary: <<colour blue-muted>>\n        download-background: <<colour primary>>\n        tiddler-link-foreground: <<colour primary>>\n\nalert-border: #b99e2f\ndirty-indicator: #ff0000\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nmessage-border: #cfd6e6\nmodal-border: #999999\nselect-tag-background:\nselect-tag-foreground:\nsidebar-controls-foreground-hover:\nsidebar-muted-foreground-hover:\nsidebar-tab-background: #ded8c5\nsidebar-tiddler-link-foreground-hover:\nstatic-alert-foreground: #aaaaaa\ntab-border: #cccccc\n    modal-footer-border: <<colour tab-border>>\n    modal-header-border: <<colour tab-border>>\n    notification-border: <<colour tab-border>>\n    sidebar-tab-border: <<colour tab-border>>\n    tab-border-selected: <<colour tab-border>>\n        sidebar-tab-border-selected: <<colour tab-border-selected>>\ntab-divider: #d8d8d8\n    sidebar-tab-divider: <<colour tab-divider>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-border: #dddddd\ntiddler-subtitle-foreground: #c0c0c0\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
        },
        "$:/palettes/SolarizedLight": {
            "title": "$:/palettes/SolarizedLight",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "description": "Precision colors for machines and people",
            "license": "MIT, Ethan Schoonover, https://github.com/altercation/solarized/blob/master/LICENSE",
            "name": "SolarizedLight",
            "text": "alert-background: #eee8d5\nalert-border: #073642\nalert-highlight: #cb4b16\nalert-muted-foreground: #586e75\nbackground: #fdf6e3\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: #cb4b16\nbutton-foreground: #fdf6e3\nbutton-border: transparent\ncode-background: #eee8d5\ncode-border: #93a1a1\ncode-foreground: #d33682\ndiff-delete-background: #BF616A\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #859900\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #D08770\ndownload-background: #859900\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #fdf6e3\ndropdown-tab-background: #93a1a1\ndropzone-background: #859900\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: #d33682\nexternal-link-foreground-visited: #b58900\nexternal-link-foreground: #cb4b16\nforeground: #839496\nmessage-background: #586e75\nmessage-border: #586e75\nmessage-foreground: #eee8d5\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #eee8d5\nmodal-footer-background: #eee8d5\nmodal-footer-border: #eee8d5\nmodal-header-border: #eee8d5\nmuted-foreground: #93a1a1\nnotification-background: #EBCB8B\nnotification-border: #D08770\npage-background: #eee8d5\npre-background: #eee8d5\npre-border: #93a1a1\nprimary: #2aa198\nselect-tag-background: #eee8d5\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: #eee8d5\nsidebar-controls-foreground-hover: #268bd2\nsidebar-controls-foreground: #586e75\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #839496\nsidebar-muted-foreground-hover: #657b83\nsidebar-muted-foreground: #93a1a1\nsidebar-tab-background-selected: #eee8d5\nsidebar-tab-background: #839496\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #657b83\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #839496\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #859900\nsidebar-tiddler-link-foreground: #268bd2\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #dc322f\ntab-background-selected: #fdf6e3\ntab-background: #839496\ntab-border-selected: #93a1a1\ntab-border: #93a1a1\ntab-divider: #fdf6e3\ntab-foreground-selected: #839496\ntab-foreground: #eee8d5\ntable-border: #657b83\ntable-footer-background: #657b83\ntable-header-background: #93a1a1\ntag-background: #6c71c4\ntag-foreground: #eee8d5\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #b58900\ntiddler-controls-foreground-selected: #b58900\ntiddler-controls-foreground: #073642\ntiddler-editor-background: #eee8d5\ntiddler-editor-border-image: #eee8d5\ntiddler-editor-border: #eee8d5\ntiddler-editor-fields-even: #eee8d5\ntiddler-editor-fields-odd: #fdf6e3\ntiddler-info-background: #eee8d5\ntiddler-info-border: #eee8d5\ntiddler-info-tab-background: #586e75\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #586e75\ntiddler-title-foreground: #073642\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #839496\nvery-muted-foreground: #93a1a1\n"
        },
        "$:/palettes/SpartanDay": {
            "title": "$:/palettes/SpartanDay",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "description": "Cold, spartan day colors",
            "name": "Spartan Day",
            "text": "alert-background: <<colour background>>\nalert-border: <<colour very-muted-foreground>>\nalert-highlight: <<colour very-muted-foreground>>\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #FAFAFA\nblockquote-bar: <<colour page-background>>\nbutton-background: transparent\nbutton-foreground: inherit\nbutton-border: <<colour tag-background>>\ncode-background: #ececec\ncode-border: #ececec\ncode-foreground: \ndirty-indicator: #c80000\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #FFFFFF\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: <<colour dropdown-background>>\ndropdown-tab-background: #F5F5F5\ndropzone-background: <<colour tag-background>>\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: \nexternal-link-foreground: \nforeground: rgba(0, 0, 0, 0.87)\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(0, 0, 0, 0.54)\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour very-muted-foreground>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: rgba(0, 0, 0, 0.54)\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #f4f4f4\npre-background: #ececec\npre-border: #ececec\nprimary: #3949ab\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #aeaeae\nsidebar-controls-foreground: #c6c6c6\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(0, 0, 0, 0.54)\nsidebar-muted-foreground-hover: rgba(0, 0, 0, 0.54)\nsidebar-muted-foreground: rgba(0, 0, 0, 0.38)\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: transparent\nsidebar-tab-border-selected: <<colour table-border>>\nsidebar-tab-border: transparent\nsidebar-tab-divider: <<colour table-border>>\nsidebar-tab-foreground-selected: rgba(0, 0, 0, 0.87)\nsidebar-tab-foreground: rgba(0, 0, 0, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(0, 0, 0, 0.87)\nsidebar-tiddler-link-foreground: rgba(0, 0, 0, 0.54)\nsite-title-foreground: rgba(0, 0, 0, 0.87)\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: transparent\ntab-border-selected: <<colour table-border>>\ntab-border: transparent\ntab-divider: <<colour table-border>>\ntab-foreground-selected: rgba(0, 0, 0, 0.87)\ntab-foreground: rgba(0, 0, 0, 0.54)\ntable-border: #d8d8d8\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #ec6\ntag-foreground: <<colour button-foreground>>\ntiddler-background: <<colour background>>\ntiddler-border: #f9f9f9\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: <<colour sidebar-controls-foreground>>\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: #e8e7e7\ntiddler-editor-fields-even: rgba(0, 0, 0, 0.1)\ntiddler-editor-fields-odd: rgba(0, 0, 0, 0.04)\ntiddler-info-background: #F5F5F5\ntiddler-info-border: #F5F5F5\ntiddler-info-tab-background: <<colour tiddler-editor-fields-odd>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #000000\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: rgba(0, 0, 0, 0.12)\n"
        },
        "$:/palettes/SpartanNight": {
            "title": "$:/palettes/SpartanNight",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "description": "Dark spartan colors",
            "name": "Spartan Night",
            "text": "alert-background: <<colour background>>\nalert-border: <<colour very-muted-foreground>>\nalert-highlight: <<colour very-muted-foreground>>\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #303030\nblockquote-bar: <<colour page-background>>\nbutton-background: transparent\nbutton-foreground: inherit\nbutton-border: <<colour tag-background>>\ncode-background: <<colour pre-background>>\ncode-border: <<colour pre-border>>\ncode-foreground: rgba(255, 255, 255, 0.54)\ndirty-indicator: #c80000\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #424242\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: <<colour dropdown-background>>\ndropdown-tab-background: #050505\ndropzone-background: <<colour tag-background>>\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: #7c318c\nexternal-link-foreground: #9e3eb3\nforeground: rgba(255, 255, 255, 0.7)\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(255, 255, 255, 0.54)\nmodal-backdrop: <<colour page-background>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour background>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: rgba(255, 255, 255, 0.54)\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #212121\npre-background: #2a2a2a\npre-border: transparent\nprimary: #5656f3\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #494949\nsidebar-controls-foreground: #5d5d5d\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground-hover: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground: rgba(255, 255, 255, 0.38)\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: transparent\nsidebar-tab-border-selected: <<colour table-border>>\nsidebar-tab-border: transparent\nsidebar-tab-divider: <<colour table-border>>\nsidebar-tab-foreground-selected: rgba(255, 255, 255, 0.87)\nsidebar-tab-foreground: rgba(255, 255, 255, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(255, 255, 255, 0.7)\nsidebar-tiddler-link-foreground: rgba(255, 255, 255, 0.54)\nsite-title-foreground: rgba(255, 255, 255, 0.7)\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: transparent\ntab-border-selected: <<colour table-border>>\ntab-border: transparent\ntab-divider: <<colour table-border>>\ntab-foreground-selected: rgba(255, 255, 255, 0.87)\ntab-foreground: rgba(255, 255, 255, 0.54)\ntable-border: #3a3a3a\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #ec6\ntag-foreground: <<colour button-foreground>>\ntiddler-background: <<colour background>>\ntiddler-border: rgb(55,55,55)\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: <<colour sidebar-controls-foreground>>\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: rgba(255, 255, 255, 0.08)\ntiddler-editor-fields-even: rgba(255, 255, 255, 0.1)\ntiddler-editor-fields-odd: rgba(255, 255, 255, 0.04)\ntiddler-info-background: #454545\ntiddler-info-border: #454545\ntiddler-info-tab-background: <<colour tiddler-editor-fields-odd>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #FFFFFF\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: rgba(255, 255, 255, 0.12)\n"
        },
        "$:/palettes/Twilight": {
            "title": "$:/palettes/Twilight",
            "tags": "$:/tags/Palette",
            "author": "Thomas Elmiger",
            "type": "application/x-tiddler-dictionary",
            "name": "Twilight",
            "description": "Delightful, soft darkness.",
            "text": "alert-background: rgb(255, 255, 102)\nalert-border: rgb(232, 232, 125)\nalert-highlight: rgb(255, 51, 51)\nalert-muted-foreground: rgb(224, 82, 82)\nbackground: rgb(38, 38, 38)\nblockquote-bar: rgba(240, 196, 117, 0.7)\nbutton-background: rgb(63, 63, 63)\nbutton-border: rgb(127, 127, 127)\nbutton-foreground: rgb(179, 179, 179)\ncode-background: rgba(0,0,0,0.03)\ncode-border: rgba(0,0,0,0.08)\ncode-foreground: rgb(255, 94, 94)\ndiff-delete-background: #ffc9c9\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #aaefad\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: rgb(255, 94, 94)\ndownload-background: #19a974\ndownload-foreground: rgb(38, 38, 38)\ndragger-background: rgb(179, 179, 179)\ndragger-foreground: rgb(38, 38, 38)\ndropdown-background: rgb(38, 38, 38)\ndropdown-border: rgb(255, 255, 255)\ndropdown-tab-background: rgba(0,0,0,.1)\ndropdown-tab-background-selected: rgba(255,255,255,1)\ndropzone-background: #9eebcf\nexternal-link-background: inherit\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-foreground: rgb(179, 179, 255)\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: rgb(153, 153, 255)\nforeground: rgb(179, 179, 179)\nmessage-background: <<colour tag-foreground>>\nmessage-border: #96ccff\nmessage-foreground: <<colour tag-background>>\nmodal-backdrop: rgb(179, 179, 179)\nmodal-background: rgb(38, 38, 38)\nmodal-border: rgba(0,0,0,.5)\nmodal-footer-background: #f4f4f4\nmodal-footer-border: rgba(0,0,0,.1)\nmodal-header-border: rgba(0,0,0,.2)\nmuted-foreground: rgb(255, 255, 255)\nnotification-background: <<colour tag-foreground>>\nnotification-border: <<colour tag-background>>\npage-background: rgb(26, 26, 26)\npre-background: rgb(25, 25, 25)\npre-border: rgba(0,0,0,.2)\nprimary: rgb(255, 201, 102)\nselect-tag-background: \nselect-tag-foreground: \nsidebar-button-foreground: rgb(179, 179, 179)\nsidebar-controls-foreground: rgb(153, 153, 153)\nsidebar-controls-foreground-hover: <<colour tiddler-controls-foreground-hover>>\nsidebar-foreground: rgb(141, 141, 141)\nsidebar-foreground-shadow: transparent\nsidebar-muted-foreground: rgba(0, 0, 0, 0.5)\nsidebar-muted-foreground-hover: rgb(141, 141, 141)\nsidebar-tab-background: rgba(141, 141, 141, 0.2)\nsidebar-tab-background-selected: rgb(26, 26, 26)\nsidebar-tab-border: rgb(127, 127, 127)\nsidebar-tab-border-selected: rgb(127, 127, 127)\nsidebar-tab-divider: rgb(127, 127, 127)\nsidebar-tab-foreground: rgb(179, 179, 179)\nsidebar-tab-foreground-selected: rgb(179, 179, 179)\nsidebar-tiddler-link-foreground: rgb(179, 179, 179)\nsidebar-tiddler-link-foreground-hover: rgb(115, 115, 115)\nsite-title-foreground: rgb(255, 201, 102)\nstatic-alert-foreground: rgba(0,0,0,.3)\ntab-background: rgba(0,0,0,0.125)\ntab-background-selected: rgb(38, 38, 38)\ntab-border: rgb(255, 201, 102)\ntab-border-selected: rgb(255, 201, 102)\ntab-divider: rgb(255, 201, 102)\ntab-foreground: rgb(179, 179, 179)\ntab-foreground-selected: rgb(179, 179, 179)\ntable-border: rgba(255,255,255,.3)\ntable-footer-background: rgba(0,0,0,.4)\ntable-header-background: rgba(0,0,0,.1)\ntag-background: rgb(255, 201, 102)\ntag-foreground: rgb(25, 25, 25)\ntiddler-background: rgb(38, 38, 38)\ntiddler-border: rgba(240, 196, 117, 0.7)\ntiddler-controls-foreground: rgb(128, 128, 128)\ntiddler-controls-foreground-hover: rgba(255, 255, 255, 0.8)\ntiddler-controls-foreground-selected: rgba(255, 255, 255, 0.9)\ntiddler-editor-background: rgb(33, 33, 33)\ntiddler-editor-border: rgb(63, 63, 63)\ntiddler-editor-border-image: rgb(25, 25, 25)\ntiddler-editor-fields-even: rgb(33, 33, 33)\ntiddler-editor-fields-odd: rgb(28, 28, 28)\ntiddler-info-background: rgb(43, 43, 43)\ntiddler-info-border: rgb(25, 25, 25)\ntiddler-info-tab-background: rgb(43, 43, 43)\ntiddler-link-background: rgb(38, 38, 38)\ntiddler-link-foreground: rgb(204, 204, 255)\ntiddler-subtitle-foreground: rgb(255, 255, 255)\ntiddler-title-foreground: rgb(255, 192, 76)\ntoolbar-cancel-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-done-button: \ntoolbar-edit-button: \ntoolbar-info-button: \ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \nuntagged-background: rgb(255, 255, 255)\nvery-muted-foreground: rgba(240, 196, 117, 0.7)\n"
        },
        "$:/palettes/Vanilla": {
            "title": "$:/palettes/Vanilla",
            "name": "Vanilla",
            "description": "Pale and unobtrusive",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndiff-delete-background: #ffc9c9\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #aaefad\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #f4f4f4\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #aaaaaa\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #f4f4f4\nsidebar-tab-background: #e0e0e0\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: #e4e4e4\nsidebar-tab-foreground-selected:\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #999999\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\nwikilist-background: #e5e5e5\nwikilist-item: #fff\nwikilist-info: #000\nwikilist-title: #666\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: #aaa\nwikilist-button-open: #4fb82b\nwikilist-button-open-hover: green\nwikilist-button-reveal: #5778d8\nwikilist-button-reveal-hover: blue\nwikilist-button-remove: #d85778\nwikilist-button-remove-hover: red\nwikilist-toolbar-background: #d3d3d3\nwikilist-toolbar-foreground: #888\nwikilist-droplink-dragover: rgba(255,192,192,0.5)\nwikilist-button-background: #acacac\nwikilist-button-foreground: #000\n"
        },
        "$:/core/readme": {
            "title": "$:/core/readme",
            "text": "This plugin contains TiddlyWiki's core components, comprising:\n\n* JavaScript code modules\n* Icons\n* Templates needed to create TiddlyWiki's user interface\n* British English (''en-GB'') translations of the localisable strings used by the core\n"
        },
        "$:/library/sjcl.js/license": {
            "title": "$:/library/sjcl.js/license",
            "type": "text/plain",
            "text": "SJCL is open. You can use, modify and redistribute it under a BSD\nlicense or under the GNU GPL, version 2.0.\n\n---------------------------------------------------------------------\n\nhttp://opensource.org/licenses/BSD-2-Clause\n\nCopyright (c) 2009-2015, Emily Stark, Mike Hamburg and Dan Boneh at\nStanford University. All rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are\nmet:\n\n1. Redistributions of source code must retain the above copyright\nnotice, this list of conditions and the following disclaimer.\n\n2. Redistributions in binary form must reproduce the above copyright\nnotice, this list of conditions and the following disclaimer in the\ndocumentation and/or other materials provided with the distribution.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS\nIS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED\nTO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A\nPARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT\nHOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,\nSPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED\nTO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR\nPROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF\nLIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING\nNEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\nSOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n\n---------------------------------------------------------------------\n\nhttp://opensource.org/licenses/GPL-2.0\n\nThe Stanford Javascript Crypto Library (hosted here on GitHub) is a\nproject by the Stanford Computer Security Lab to build a secure,\npowerful, fast, small, easy-to-use, cross-browser library for\ncryptography in Javascript.\n\nCopyright (c) 2009-2015, Emily Stark, Mike Hamburg and Dan Boneh at\nStanford University.\n\nThis program is free software; you can redistribute it and/or modify it\nunder the terms of the GNU General Public License as published by the\nFree Software Foundation; either version 2 of the License, or (at your\noption) any later version.\n\nThis program is distributed in the hope that it will be useful, but\nWITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General\nPublic License for more details.\n\nYou should have received a copy of the GNU General Public License along\nwith this program; if not, write to the Free Software Foundation, Inc.,\n59 Temple Place, Suite 330, Boston, MA 02111-1307 USA"
        },
        "$:/core/templates/MOTW.html": {
            "title": "$:/core/templates/MOTW.html",
            "text": "\\rules only filteredtranscludeinline transcludeinline entity\n<!-- The following comment is called a MOTW comment and is necessary for the TiddlyIE Internet Explorer extension -->\n<!-- saved from url=(0021)https://tiddlywiki.com -->&#13;&#10;"
        },
        "$:/core/templates/alltiddlers.template.html": {
            "title": "$:/core/templates/alltiddlers.template.html",
            "type": "text/vnd.tiddlywiki-html",
            "text": "<!-- This template is provided for backwards compatibility with older versions of TiddlyWiki -->\n\n<$set name=\"exportFilter\" value=\"[!is[system]sort[title]]\">\n\n{{$:/core/templates/exporters/StaticRiver}}\n\n</$set>\n"
        },
        "$:/core/templates/canonical-uri-external-image": {
            "title": "$:/core/templates/canonical-uri-external-image",
            "text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external images.\n\nChange the `./images/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./images/<$view field=\"title\" format=\"doubleurlencoded\"/>"
        },
        "$:/core/templates/canonical-uri-external-raw": {
            "title": "$:/core/templates/canonical-uri-external-raw",
            "text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external raw files that are stored in the same directory\n\n-->\n<$view field=\"title\" format=\"doubleurlencoded\"/>"
        },
        "$:/core/templates/canonical-uri-external-text": {
            "title": "$:/core/templates/canonical-uri-external-text",
            "text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external text files.\n\nChange the `./text/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./text/<$view field=\"title\" format=\"doubleurlencoded\"/>.tid"
        },
        "$:/core/templates/css-tiddler": {
            "title": "$:/core/templates/css-tiddler",
            "text": "<!--\n\nThis template is used for saving CSS tiddlers as a style tag with data attributes representing the tiddler fields.\n\n-->`<style`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/css\">`<$view field=\"text\" format=\"text\" />`</style>`"
        },
        "$:/core/templates/exporters/CsvFile": {
            "title": "$:/core/templates/exporters/CsvFile",
            "tags": "$:/tags/Exporter",
            "description": "{{$:/language/Exporters/CsvFile}}",
            "extension": ".csv",
            "text": "\\define renderContent()\n<$text text=<<csvtiddlers filter:\"\"\"$(exportFilter)$\"\"\" format:\"quoted-comma-sep\">>/>\n\\end\n<<renderContent>>\n"
        },
        "$:/core/templates/exporters/JsonFile": {
            "title": "$:/core/templates/exporters/JsonFile",
            "tags": "$:/tags/Exporter",
            "description": "{{$:/language/Exporters/JsonFile}}",
            "extension": ".json",
            "text": "\\define renderContent()\n<$text text=<<jsontiddlers filter:\"\"\"$(exportFilter)$\"\"\">>/>\n\\end\n<<renderContent>>\n"
        },
        "$:/core/templates/exporters/StaticRiver": {
            "title": "$:/core/templates/exporters/StaticRiver",
            "tags": "$:/tags/Exporter",
            "description": "{{$:/language/Exporters/StaticRiver}}",
            "extension": ".html",
            "text": "\\define tv-wikilink-template() #$uri_encoded$\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n<section class=\"tc-story-river\">\n{{$:/core/templates/exporters/StaticRiver/Content||$:/core/templates/html-tiddler}}\n</section>\n</body>\n</html>\n"
        },
        "$:/core/templates/exporters/StaticRiver/Content": {
            "title": "$:/core/templates/exporters/StaticRiver/Content",
            "text": "\\define renderContent()\n{{{ $(exportFilter)$ ||$:/core/templates/static-tiddler}}}\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<<renderContent>>\n"
        },
        "$:/core/templates/exporters/TidFile": {
            "title": "$:/core/templates/exporters/TidFile",
            "tags": "$:/tags/Exporter",
            "description": "{{$:/language/Exporters/TidFile}}",
            "extension": ".tid",
            "text": "\\define renderContent()\n{{{ $(exportFilter)$ +[limit[1]] ||$:/core/templates/tid-tiddler}}}\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<<renderContent>>"
        },
        "$:/core/save/all-external-js": {
            "title": "$:/core/save/all-external-js",
            "text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/core]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n{{$:/core/templates/tiddlywiki5-external-js.html}}\n"
        },
        "$:/core/templates/tiddlywiki5.js": {
            "title": "$:/core/templates/tiddlywiki5.js",
            "text": "\\rules only filteredtranscludeinline transcludeinline codeinline\n\n/*\n{{ $:/core/copyright.txt ||$:/core/templates/plain-text-tiddler}}\n`*/\n`<!--~~ Library modules ~~-->\n{{{ [is[system]type[application/javascript]library[yes]] ||$:/core/templates/plain-text-tiddler}}}\n<!--~~ Boot prefix ~~-->\n{{ $:/boot/bootprefix.js ||$:/core/templates/plain-text-tiddler}}\n<!--~~ Core plugin ~~-->\n{{$:/core/templates/tiddlywiki5.js/tiddlers}}\n<!--~~ Boot kernel ~~-->\n{{ $:/boot/boot.js ||$:/core/templates/plain-text-tiddler}}\n"
        },
        "$:/core/templates/tiddlywiki5.js/tiddlers": {
            "title": "$:/core/templates/tiddlywiki5.js/tiddlers",
            "text": "`\n$tw.preloadTiddlerArray(`<$text text=<<jsontiddlers \"[[$:/core]]\">>/>`);\n$tw.preloadTiddlerArray([{\n\ttitle: \"$:/config/SaveWikiButton/Template\",\n\ttext: \"$:/core/save/all-external-js\"\n}]);\n`\n"
        },
        "$:/core/templates/tiddlywiki5-external-js.html": {
            "title": "$:/core/templates/tiddlywiki5-external-js.html",
            "text": "\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n{{$:/core/templates/MOTW.html}}<html lang=\"`<$text text={{{ [{$:/language}get[name]] }}}/>`\">\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<!--~~ Raw markup for the top of the head section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/TopHead]] ||$:/core/templates/raw-static-tiddler}}}\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=Edge\"/>\n<meta name=\"application-name\" content=\"TiddlyWiki\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\" />\n<meta name=\"copyright\" content=\"{{$:/core/copyright.txt}}\" />\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<!--~~ This is a Tiddlywiki file. The points of interest in the file are marked with this pattern ~~-->\n\n<!--~~ Raw markup ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/core/wiki/rawmarkup]] [all[shadows+tiddlers]tag[$:/tags/RawMarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified]] ||$:/core/templates/raw-static-tiddler}}}\n</head>\n<body class=\"tc-body\">\n<!--~~ Raw markup for the top of the body section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/TopBody]] ||$:/core/templates/raw-static-tiddler}}}\n<!--~~ Static styles ~~-->\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<!--~~ Static content for Google and browsers without JavaScript ~~-->\n<noscript>\n<div id=\"splashArea\">\n{{$:/core/templates/static.area}}\n</div>\n</noscript>\n<!--~~ Ordinary tiddlers ~~-->\n{{$:/core/templates/store.area.template.html}}\n<!--~~ Raw markup for the bottom of the body section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/BottomBody]] ||$:/core/templates/raw-static-tiddler}}}\n</body>\n<script src=\"%24%3A%2Fcore%2Ftemplates%2Ftiddlywiki5.js\" onerror=\"alert('Error: Cannot load tiddlywiki.js');\"></script>\n</html>\n"
        },
        "$:/core/templates/html-div-skinny-tiddler": {
            "title": "$:/core/templates/html-div-skinny-tiddler",
            "text": "<!--\n\nThis template is a variant of $:/core/templates/html-div-tiddler used for saving skinny tiddlers (with no text field)\n\n-->`<div`<$fields template=' $name$=\"$encoded_value$\"'></$fields>`>\n<pre></pre>\n</div>`\n"
        },
        "$:/core/templates/html-div-tiddler": {
            "title": "$:/core/templates/html-div-tiddler",
            "text": "<!--\n\nThis template is used for saving tiddlers as an HTML DIV tag with attributes representing the tiddler fields.\n\n-->`<div`<$fields template=' $name$=\"$encoded_value$\"'></$fields>`>\n<pre>`<$view field=\"text\" format=\"htmlencoded\" />`</pre>\n</div>`\n"
        },
        "$:/core/templates/html-tiddler": {
            "title": "$:/core/templates/html-tiddler",
            "text": "<!--\n\nThis template is used for saving tiddlers as raw HTML\n\n--><$view field=\"text\" format=\"htmlwikified\" />"
        },
        "$:/core/templates/javascript-tiddler": {
            "title": "$:/core/templates/javascript-tiddler",
            "text": "<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields.\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\">`<$view field=\"text\" format=\"text\" />`</script>`"
        },
        "$:/core/templates/json-tiddler": {
            "title": "$:/core/templates/json-tiddler",
            "text": "<!--\n\nThis template is used for saving tiddlers as raw JSON\n\n--><$text text=<<jsontiddler>>/>"
        },
        "$:/core/templates/module-tiddler": {
            "title": "$:/core/templates/module-tiddler",
            "text": "<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields. The body of the tiddler is wrapped in a call to the `$tw.modules.define` function in order to define the body of the tiddler as a module\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\" data-module=\"yes\">$tw.modules.define(\"`<$view field=\"title\" format=\"jsencoded\" />`\",\"`<$view field=\"module-type\" format=\"jsencoded\" />`\",function(module,exports,require) {`<$view field=\"text\" format=\"text\" />`});\n</script>`"
        },
        "$:/core/templates/plain-text-tiddler": {
            "title": "$:/core/templates/plain-text-tiddler",
            "text": "<$view field=\"text\" format=\"text\" />"
        },
        "$:/core/templates/raw-static-tiddler": {
            "title": "$:/core/templates/raw-static-tiddler",
            "text": "<!--\n\nThis template is used for saving tiddlers as static HTML\n\n--><$view field=\"text\" format=\"plainwikified\" />"
        },
        "$:/core/save/all": {
            "title": "$:/core/save/all",
            "text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
        },
        "$:/core/save/empty": {
            "title": "$:/core/save/empty",
            "text": "\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
        },
        "$:/core/save/lazy-all": {
            "title": "$:/core/save/lazy-all",
            "text": "\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] \n\\end\n\\define skinnySaveTiddlerFilter()\n[!is[system]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
        },
        "$:/core/save/lazy-images": {
            "title": "$:/core/save/lazy-images",
            "text": "\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] -[!is[system]is[image]] +[sort[title]] \n\\end\n\\define skinnySaveTiddlerFilter()\n[is[image]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
        },
        "$:/core/templates/server/static.sidebar.wikitext": {
            "title": "$:/core/templates/server/static.sidebar.wikitext",
            "text": "\\whitespace trim\n<div class=\"tc-sidebar-scrollable\" style=\"overflow: auto;\">\n<div class=\"tc-sidebar-header\">\n<h1 class=\"tc-site-title\">\n<$transclude tiddler=\"$:/SiteTitle\"/>\n</h1>\n<div class=\"tc-site-subtitle\">\n<$transclude tiddler=\"$:/SiteSubtitle\"/>\n</div>\n<h2>\n</h2>\n<div class=\"tc-sidebar-lists\">\n<$list filter={{$:/DefaultTiddlers}}>\n<div class=\"tc-menu-list-subitem\">\n<$link><$text text=<<currentTiddler>>/></$link>\n</div>\n</$list>\n</div>\n<!-- Currently disabled the recent list as it is unweildy when the responsive narrow view kicks in\n<h2>\n{{$:/language/SideBar/Recent/Caption}}\n</h2>\n<div class=\"tc-sidebar-lists\">\n<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n</div>\n</div>\n</div>\n-->\n"
        },
        "$:/core/templates/server/static.tiddler.html": {
            "title": "$:/core/templates/server/static.tiddler.html",
            "text": "\\whitespace trim\n\\define tv-wikilink-template() $uri_encoded$\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content={{$:/core/templates/version}} />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<link rel=\"stylesheet\" href=\"%24%3A%2Fcore%2Ftemplates%2Fstatic.template.css\">\n<title><$view field=\"caption\" format=\"plainwikified\"><$view field=\"title\"/></$view>: <$view tiddler=\"$:/core/wiki/title\" format=\"plainwikified\"/></title>\n</head>\n<body class=\"tc-body\">\n<$transclude tiddler=\"$:/core/templates/server/static.sidebar.wikitext\" mode=\"inline\"/>\n<section class=\"tc-story-river\">\n<div class=\"tc-tiddler-frame\">\n<$transclude tiddler=\"$:/core/templates/server/static.tiddler.wikitext\" mode=\"inline\"/>\n</div>\n</section>\n</body>\n</html>"
        },
        "$:/core/templates/server/static.tiddler.wikitext": {
            "title": "$:/core/templates/server/static.tiddler.wikitext",
            "text": "\\whitespace trim\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<h2><$text text=<<currentTiddler>>/></h2>\n</div>\n</div>\n<div class=\"tc-subtitle\">\n<$link to={{!!modifier}}>\n<$view field=\"modifier\"/>\n</$link> <$view field=\"modified\" format=\"date\" template={{$:/language/Tiddler/DateFormat}}/>\n</div>\n<div class=\"tc-tags-wrapper\">\n<$list filter=\"[all[current]tags[]sort[title]]\">\n<a href={{{ [<currentTiddler>encodeuricomponent[]] }}}>\n<$macrocall $name=\"tag-pill\" tag=<<currentTiddler>>/>\n</a>\n</$list>\n</div>\n<div class=\"tc-tiddler-body\">\n<$transclude mode=\"block\"/>\n</div>\n"
        },
        "$:/core/templates/single.tiddler.window": {
            "title": "$:/core/templates/single.tiddler.window",
            "text": "\\whitespace trim\n\\define containerClasses()\ntc-page-container tc-page-view-$(storyviewTitle)$ tc-language-$(languageTitle)$\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$set name=\"tv-config-toolbar-icons\" value={{$:/config/Toolbar/Icons}}>\n\n<$set name=\"tv-config-toolbar-text\" value={{$:/config/Toolbar/Text}}>\n\n<$set name=\"tv-config-toolbar-class\" value={{$:/config/Toolbar/ButtonClass}}>\n\n<$set name=\"tv-show-missing-links\" value={{$:/config/MissingLinks}}>\n\n<$set name=\"storyviewTitle\" value={{$:/view}}>\n\n<$set name=\"languageTitle\" value={{{ [{$:/language}get[name]] }}}>\n\n<div class=<<containerClasses>>>\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\">\n\n<$transclude mode=\"block\"/>\n\n</$navigator>\n\n</div>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n"
        },
        "$:/core/templates/split-recipe": {
            "title": "$:/core/templates/split-recipe",
            "text": "<$list filter=\"[!is[system]]\">\ntiddler: <$view field=\"title\" format=\"urlencoded\"/>.tid\n</$list>\n"
        },
        "$:/core/templates/static-tiddler": {
            "title": "$:/core/templates/static-tiddler",
            "text": "<a name=<<currentTiddler>>>\n<$transclude tiddler=\"$:/core/ui/ViewTemplate\"/>\n</a>"
        },
        "$:/core/templates/static.area": {
            "title": "$:/core/templates/static.area",
            "text": "<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawStaticContent]!has[draft.of]] ||$:/core/templates/raw-static-tiddler}}}\n{{$:/core/templates/static.content||$:/core/templates/html-tiddler}}\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\nThis file contains an encrypted ~TiddlyWiki. Enable ~JavaScript and enter the decryption password when prompted.\n</$reveal>\n<!-- ensure splash screen isn't shown when JS is disabled -->\n`<style>\n.tc-remove-when-wiki-loaded {display: none;}\n</style>`\n"
        },
        "$:/core/templates/static.content": {
            "title": "$:/core/templates/static.content",
            "text": "<!-- For Google, and people without JavaScript-->\nThis [[TiddlyWiki|https://tiddlywiki.com]] contains the following tiddlers:\n\n<ul>\n<$list filter=<<saveTiddlerFilter>>>\n<li><$view field=\"title\" format=\"text\"></$view></li>\n</$list>\n</ul>\n"
        },
        "$:/core/templates/static.template.css": {
            "title": "$:/core/templates/static.template.css",
            "text": "{{$:/boot/boot.css||$:/core/templates/plain-text-tiddler}}\n\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n"
        },
        "$:/core/templates/static.template.html": {
            "title": "$:/core/templates/static.template.html",
            "type": "text/vnd.tiddlywiki-html",
            "text": "\\define tv-wikilink-template() static/$uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n{{$:/core/ui/PageTemplate||$:/core/templates/html-tiddler}}\n</body>\n</html>\n"
        },
        "$:/core/templates/static.tiddler.html": {
            "title": "$:/core/templates/static.tiddler.html",
            "text": "\\define tv-wikilink-template() $uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n`<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<link rel=\"stylesheet\" href=\"static.css\">\n<title>`<$view field=\"caption\"><$view field=\"title\"/></$view>: {{$:/core/wiki/title}}`</title>\n</head>\n<body class=\"tc-body\">\n`{{$:/StaticBanner||$:/core/templates/html-tiddler}}`\n<section class=\"tc-story-river\">\n`<$view tiddler=\"$:/core/ui/ViewTemplate\" format=\"htmlwikified\"/>`\n</section>\n</body>\n</html>\n`"
        },
        "$:/core/templates/store.area.template.html": {
            "title": "$:/core/templates/store.area.template.html",
            "text": "<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n`<div id=\"storeArea\" style=\"display:none;\">`\n<$list filter=<<saveTiddlerFilter>> template=\"$:/core/templates/html-div-tiddler\"/>\n<$list filter={{{ [<skinnySaveTiddlerFilter>] }}} template=\"$:/core/templates/html-div-skinny-tiddler\"/>\n`</div>`\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n`<!--~~ Encrypted tiddlers ~~-->`\n`<pre id=\"encryptedStoreArea\" type=\"text/plain\" style=\"display:none;\">`\n<$encrypt filter=<<saveTiddlerFilter>>/>\n`</pre>`\n</$reveal>"
        },
        "$:/core/templates/tid-tiddler": {
            "title": "$:/core/templates/tid-tiddler",
            "text": "<!--\n\nThis template is used for saving tiddlers in TiddlyWeb *.tid format\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>`\n`<$view field=\"text\" format=\"text\" />"
        },
        "$:/core/templates/tiddler-metadata": {
            "title": "$:/core/templates/tiddler-metadata",
            "text": "<!--\n\nThis template is used for saving tiddler metadata *.meta files\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>"
        },
        "$:/core/templates/tiddlywiki5.html": {
            "title": "$:/core/templates/tiddlywiki5.html",
            "text": "<$set name=\"saveTiddlerAndShadowsFilter\" filter=\"[subfilter<saveTiddlerFilter>] [subfilter<saveTiddlerFilter>plugintiddlers[]]\">\n`<!doctype html>\n`{{$:/core/templates/MOTW.html}}`<html lang=\"`<$text text={{{ [{$:/language}get[name]] }}}/>`\">\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<!--~~ Raw markup for the top of the head section ~~-->\n`{{{ [<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/TopHead]] ||$:/core/templates/raw-static-tiddler}}}`\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=Edge\"/>\n<meta name=\"application-name\" content=\"TiddlyWiki\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\" />\n<meta name=\"copyright\" content=\"`{{$:/core/copyright.txt}}`\" />\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>`{{$:/core/wiki/title}}`</title>\n<!--~~ This is a Tiddlywiki file. The points of interest in the file are marked with this pattern ~~-->\n\n<!--~~ Raw markup ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/core/wiki/rawmarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified]] ||$:/core/templates/raw-static-tiddler}}}`\n</head>\n<body class=\"tc-body\">\n<!--~~ Raw markup for the top of the body section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/TopBody]] ||$:/core/templates/raw-static-tiddler}}}`\n<!--~~ Static styles ~~-->\n<div id=\"styleArea\">\n`{{$:/boot/boot.css||$:/core/templates/css-tiddler}}`\n</div>\n<!--~~ Static content for Google and browsers without JavaScript ~~-->\n<noscript>\n<div id=\"splashArea\">\n`{{$:/core/templates/static.area}}`\n</div>\n</noscript>\n<!--~~ Ordinary tiddlers ~~-->\n`{{$:/core/templates/store.area.template.html}}`\n<!--~~ Library modules ~~-->\n<div id=\"libraryModules\" style=\"display:none;\">\n`{{{ [is[system]type[application/javascript]library[yes]] ||$:/core/templates/javascript-tiddler}}}`\n</div>\n<!--~~ Boot kernel prologue ~~-->\n<div id=\"bootKernelPrefix\" style=\"display:none;\">\n`{{ $:/boot/bootprefix.js ||$:/core/templates/javascript-tiddler}}`\n</div>\n<!--~~ Boot kernel ~~-->\n<div id=\"bootKernel\" style=\"display:none;\">\n`{{ $:/boot/boot.js ||$:/core/templates/javascript-tiddler}}`\n</div>\n<!--~~ Raw markup for the bottom of the body section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/BottomBody]] ||$:/core/templates/raw-static-tiddler}}}`\n</body>\n</html>`\n"
        },
        "$:/core/templates/version": {
            "title": "$:/core/templates/version",
            "text": "<<version>>"
        },
        "$:/core/templates/wikified-tiddler": {
            "title": "$:/core/templates/wikified-tiddler",
            "text": "<$transclude />"
        },
        "$:/core/ui/AboveStory/tw2-plugin-check": {
            "title": "$:/core/ui/AboveStory/tw2-plugin-check",
            "tags": "$:/tags/AboveStory",
            "text": "\\define lingo-base() $:/language/AboveStory/ClassicPlugin/\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]limit[1]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n<ul>\n\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]]\">\n\n<li>\n\n<$link><$view field=\"title\"/></$link>\n\n</li>\n\n</$list>\n\n</ul>\n\n</div>\n\n</$list>\n"
        },
        "$:/core/ui/Actions/new-image": {
            "title": "$:/core/ui/Actions/new-image",
            "tags": "$:/tags/Actions",
            "description": "create a new image tiddler",
            "text": "\\define get-type()\nimage/$(imageType)$\n\\end\n<$vars imageType={{$:/config/NewImageType}}>\n<$action-sendmessage $message=\"tm-new-tiddler\" type=<<get-type>> tags={{$:/config/NewTiddler/Tags!!tags}}/>\n</$vars>\n"
        },
        "$:/core/ui/Actions/new-journal": {
            "title": "$:/core/ui/Actions/new-journal",
            "tags": "$:/tags/Actions",
            "description": "create a new journal tiddler",
            "text": "<$vars journalTitleTemplate={{$:/config/NewJournal/Title}} journalTags={{$:/config/NewJournal/Tags!!tags}} journalText={{$:/config/NewJournal/Text}}>\n<$wikify name=\"journalTitle\" text=\"\"\"<$macrocall $name=\"now\" format=<<journalTitleTemplate>>/>\"\"\">\n<$reveal type=\"nomatch\" state=<<journalTitle>> text=\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<journalTags>> text={{{ [<journalTitle>get[]] }}}/>\n</$reveal>\n<$reveal type=\"match\" state=<<journalTitle>> text=\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<journalTags>> text=<<journalText>>/>\n</$reveal>\n</$wikify>\n</$vars>\n"
        },
        "$:/core/ui/Actions/new-tiddler": {
            "title": "$:/core/ui/Actions/new-tiddler",
            "tags": "$:/tags/Actions",
            "description": "create a new empty tiddler",
            "text": "<$action-sendmessage $message=\"tm-new-tiddler\" tags={{$:/config/NewTiddler/Tags!!tags}}/>\n"
        },
        "$:/core/ui/AdvancedSearch/Filter": {
            "title": "$:/core/ui/AdvancedSearch/Filter",
            "tags": "$:/tags/AdvancedSearch",
            "caption": "{{$:/language/Search/Filter/Caption}}",
            "text": "\\define lingo-base() $:/language/Search/\n<<lingo Filter/Hint>>\n\n<div class=\"tc-search tc-advanced-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}}/>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch/FilterButton]!has[draft.of]]\"><$transclude/></$list>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\n<div class=\"tc-search-results\">\n<<lingo Filter/Matches>>\n<$list filter={{$:/temp/advancedsearch}} template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$set>\n</$reveal>\n"
        },
        "$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear": {
            "title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear",
            "tags": "$:/tags/AdvancedSearch/FilterButton",
            "text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n"
        },
        "$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete": {
            "title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete",
            "tags": "$:/tags/AdvancedSearch/FilterButton",
            "text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button popup=<<qualify \"$:/state/filterDeleteDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/delete-button}}\n</$button>\n</$reveal>\n\n<$reveal state=<<qualify \"$:/state/filterDeleteDropdown\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<div class=\"tc-dropdown-item-plain\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\nAre you sure you wish to delete <<resultCount>> tiddler(s)?\n</$set>\n</div>\n<div class=\"tc-dropdown-item-plain\">\n<$button class=\"tc-btn\">\n<$action-deletetiddler $filter={{$:/temp/advancedsearch}}/>\nDelete these tiddlers\n</$button>\n</div>\n</div>\n</div>\n</$reveal>\n"
        },
        "$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown": {
            "title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown",
            "tags": "$:/tags/AdvancedSearch/FilterButton",
            "text": "<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/filterDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</span>\n\n<$reveal state=<<qualify \"$:/state/filterDropdown\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Filter]]\"><$link to={{!!filter}}><$transclude field=\"description\"/></$link>\n</$list>\n</div>\n</div>\n</$linkcatcher>\n</$set>\n</$reveal>\n"
        },
        "$:/core/ui/AdvancedSearch/Filter/FilterButtons/export": {
            "title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/export",
            "tags": "$:/tags/AdvancedSearch/FilterButton",
            "text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$macrocall $name=\"exportButton\" exportFilter={{$:/temp/advancedsearch}} lingoBase=\"$:/language/Buttons/ExportTiddlers/\"/>\n</$reveal>\n"
        },
        "$:/core/ui/AdvancedSearch/Shadows": {
            "title": "$:/core/ui/AdvancedSearch/Shadows",
            "tags": "$:/tags/AdvancedSearch",
            "caption": "{{$:/language/Search/Shadows/Caption}}",
            "text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo Shadows/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}}/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[all[shadows]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]]\"/>\"\"\">\n\n<div class=\"tc-search-results\">\n\n<<lingo Shadows/Matches>>\n\n<$list filter=\"[all[shadows]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n</div>\n\n</$set>\n\n</$list>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
        },
        "$:/core/ui/AdvancedSearch/Standard": {
            "title": "$:/core/ui/AdvancedSearch/Standard",
            "tags": "$:/tags/AdvancedSearch",
            "caption": "{{$:/language/Search/Standard/Caption}}",
            "text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo Standard/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}}/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$set name=\"searchTiddler\" value=\"$:/temp/advancedsearch\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude/>\n</$list>\n\"\"\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}}/>\n</$list>\n</$set>\n</$list>\n</$reveal>\n"
        },
        "$:/core/ui/AdvancedSearch/System": {
            "title": "$:/core/ui/AdvancedSearch/System",
            "tags": "$:/tags/AdvancedSearch",
            "caption": "{{$:/language/Search/System/Caption}}",
            "text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo System/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}}/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[is[system]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]]\"/>\"\"\">\n\n<div class=\"tc-search-results\">\n\n<<lingo System/Matches>>\n\n<$list filter=\"[is[system]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n</div>\n\n</$set>\n\n</$list>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
        },
        "$:/AdvancedSearch": {
            "title": "$:/AdvancedSearch",
            "icon": "$:/core/images/advanced-search-button",
            "color": "#bbb",
            "text": "<div class=\"tc-advanced-search\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch]!has[draft.of]]\" \"$:/core/ui/AdvancedSearch/System\">>\n</div>\n"
        },
        "$:/core/ui/AlertTemplate": {
            "title": "$:/core/ui/AlertTemplate",
            "text": "<div class=\"tc-alert\">\n<div class=\"tc-alert-toolbar\">\n<$button class=\"tc-btn-invisible\"><$action-deletetiddler $tiddler=<<currentTiddler>>/>{{$:/core/images/cancel-button}}</$button>\n</div>\n<div class=\"tc-alert-subtitle\">\n<$wikify name=\"format\" text=<<lingo Tiddler/DateFormat>>>\n<$view field=\"component\"/> - <$view field=\"modified\" format=\"date\" template=<<format>>/> <$reveal type=\"nomatch\" state=\"!!count\" text=\"\"><span class=\"tc-alert-highlight\">({{$:/language/Count}}: <$view field=\"count\"/>)</span></$reveal>\n</$wikify>\n</div>\n<div class=\"tc-alert-body\">\n\n<$transclude/>\n\n</div>\n</div>\n"
        },
        "$:/core/ui/BinaryWarning": {
            "title": "$:/core/ui/BinaryWarning",
            "text": "\\define lingo-base() $:/language/BinaryWarning/\n<<lingo Prompt>>\n"
        },
        "$:/core/ui/Components/plugin-info": {
            "title": "$:/core/ui/Components/plugin-info",
            "text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define popup-state-macro()\n$(qualified-state)$-$(currentTiddler)$\n\\end\n\n\\define tabs-state-macro()\n$(popup-state)$-$(pluginInfoType)$\n\\end\n\n\\define plugin-icon-title()\n$(currentTiddler)$/icon\n\\end\n\n\\define plugin-disable-title()\n$:/config/Plugins/Disabled/$(currentTiddler)$\n\\end\n\n\\define plugin-table-body(type,disabledMessage,default-popup-state)\n<div class=\"tc-plugin-info-chunk tc-plugin-info-toggle\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\" default=\"\"\"$default-popup-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/chevron-right}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\" default=\"\"\"$default-popup-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-icon\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<plugin-icon-title>>>\n<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\n</$transclude>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-description\">\n<h1>\n''<$text text={{{ [<currentTiddler>get[name]] ~[<currentTiddler>split[/]last[1]] }}}/>'': <$view field=\"description\"><$view field=\"title\"/></$view> $disabledMessage$\n</h1>\n<h2>\n<$view field=\"title\"/>\n</h2>\n<h2>\n<div><em><$view field=\"version\"/></em></div>\n</h2>\n</div>\n\\end\n\n\\define plugin-info(type,default-popup-state)\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n<$link to={{!!title}} class=\"tc-plugin-info\">\n<<plugin-table-body type:\"$type$\" default-popup-state:\"\"\"$default-popup-state$\"\"\">>\n</$link>\n</$reveal>\n<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n<$link to={{!!title}} class=\"tc-plugin-info tc-plugin-info-disabled\">\n<<plugin-table-body type:\"$type$\" default-popup-state:\"\"\"$default-popup-state$\"\"\" disabledMessage:\"<$macrocall $name='lingo' title='Disabled/Status'/>\">>\n</$link>\n</$reveal>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>> default=\"\"\"$default-popup-state$\"\"\">\n<div class=\"tc-plugin-info-dropdown\">\n<div class=\"tc-plugin-info-dropdown-body\">\n<$list filter=\"[all[current]] -[[$:/core]]\">\n<div style=\"float:right;\">\n<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n<$button set=<<plugin-disable-title>> setTo=\"yes\" tooltip={{$:/language/ControlPanel/Plugins/Disable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Disable/Caption}}>\n<<lingo Disable/Caption>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n<$button set=<<plugin-disable-title>> setTo=\"no\" tooltip={{$:/language/ControlPanel/Plugins/Enable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Enable/Caption}}>\n<<lingo Enable/Caption>>\n</$button>\n</$reveal>\n</div>\n</$list>\n<$set name=\"tabsList\" filter=\"[<currentTiddler>list[]] contents\">\n<$macrocall $name=\"tabs\" state=<<tabs-state-macro>> tabsList=<<tabsList>> default={{{ [enlist<tabsList>] }}} template=\"$:/core/ui/PluginInfo\"/>\n</$set>\n</div>\n</div>\n</$reveal>\n</$set>\n\\end\n\n<$macrocall $name=\"plugin-info\" type=<<plugin-type>> default-popup-state=<<default-popup-state>>/>\n"
        },
        "$:/core/ui/Components/tag-link": {
            "title": "$:/core/ui/Components/tag-link",
            "text": "<$link>\n<$set name=\"backgroundColor\" value={{!!color}}>\n<span style=<<tag-styles>> class=\"tc-tag-label\">\n<$view field=\"title\" format=\"text\"/>\n</span>\n</$set>\n</$link>"
        },
        "$:/core/ui/ControlPanel/Advanced": {
            "title": "$:/core/ui/ControlPanel/Advanced",
            "tags": "$:/tags/ControlPanel/Info",
            "caption": "{{$:/language/ControlPanel/Advanced/Caption}}",
            "text": "{{$:/language/ControlPanel/Advanced/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Advanced]!has[draft.of]]\" \"$:/core/ui/ControlPanel/TiddlerFields\">>\n</div>\n"
        },
        "$:/core/ui/ControlPanel/Appearance": {
            "title": "$:/core/ui/ControlPanel/Appearance",
            "tags": "$:/tags/ControlPanel",
            "caption": "{{$:/language/ControlPanel/Appearance/Caption}}",
            "text": "{{$:/language/ControlPanel/Appearance/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Appearance]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Theme\">>\n</div>\n"
        },
        "$:/core/ui/ControlPanel/Basics": {
            "title": "$:/core/ui/ControlPanel/Basics",
            "tags": "$:/tags/ControlPanel/Info",
            "caption": "{{$:/language/ControlPanel/Basics/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Basics/\n\n\\define show-filter-count(filter)\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $value=\"\"\"$filter$\"\"\"/>\n<$action-setfield $tiddler=\"$:/state/tab--1498284803\" $value=\"$:/core/ui/AdvancedSearch/Filter\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n''<$count filter=\"\"\"$filter$\"\"\"/>''\n{{$:/core/images/advanced-search-button}}\n</$button>\n\\end\n\n|<<lingo Version/Prompt>> |''<<version>>'' |\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/status/UserName\"><<lingo Username/Prompt>></$link> |<$edit-text tiddler=\"$:/status/UserName\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/AnimationDuration\"><<lingo AnimDuration/Prompt>></$link> |<$edit-text tiddler=\"$:/config/AnimationDuration\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\" class=\"tc-edit-texteditor\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n|<$link to=\"$:/language/DefaultNewTiddlerTitle\"><<lingo NewTiddler/Title/Prompt>></$link> |<$edit-text tiddler=\"$:/language/DefaultNewTiddlerTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/NewJournal/Title\"><<lingo NewJournal/Title/Prompt>></$link> |<$edit-text tiddler=\"$:/config/NewJournal/Title\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/NewJournal/Text\"><<lingo NewJournal/Text/Prompt>></$link> |<$edit tiddler=\"$:/config/NewJournal/Text\" tag=\"textarea\" class=\"tc-edit-texteditor\" default=\"\"/> |\n|<$link to=\"$:/config/NewTiddler/Tags\"><<lingo NewTiddler/Tags/Prompt>></$link> |<$list filter=\"[[$:/config/NewTiddler/Tags]]\" template=\"$:/core/ui/EditTemplate/tags\"/> |\n|<$link to=\"$:/config/NewJournal/Tags\"><<lingo NewJournal/Tags/Prompt>></$link> |<$list filter=\"[[$:/config/NewJournal/Tags]]\" template=\"$:/core/ui/EditTemplate/tags\"/> |\n|<$link to=\"$:/config/AutoFocus\"><<lingo AutoFocus/Prompt>></$link> |{{$:/snippets/minifocusswitcher}} |\n|<<lingo Language/Prompt>> |{{$:/snippets/minilanguageswitcher}} |\n|<<lingo Tiddlers/Prompt>> |<<show-filter-count \"[!is[system]sort[title]]\">> |\n|<<lingo Tags/Prompt>> |<<show-filter-count \"[tags[]sort[title]]\">> |\n|<<lingo SystemTiddlers/Prompt>> |<<show-filter-count \"[is[system]sort[title]]\">> |\n|<<lingo ShadowTiddlers/Prompt>> |<<show-filter-count \"[all[shadows]sort[title]]\">> |\n|<<lingo OverriddenShadowTiddlers/Prompt>> |<<show-filter-count \"[is[tiddler]is[shadow]sort[title]]\">> |\n"
        },
        "$:/core/ui/ControlPanel/EditorTypes": {
            "title": "$:/core/ui/ControlPanel/EditorTypes",
            "tags": "$:/tags/ControlPanel/Advanced",
            "caption": "{{$:/language/ControlPanel/EditorTypes/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/EditorTypes/\n\n<<lingo Hint>>\n\n<table>\n<tbody>\n<tr>\n<th><<lingo Type/Caption>></th>\n<th><<lingo Editor/Caption>></th>\n</tr>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/config/EditorTypeMappings/]sort[title]]\">\n<tr>\n<td>\n<$link>\n<$list filter=\"[all[current]removeprefix[$:/config/EditorTypeMappings/]]\">\n<$text text={{!!title}}/>\n</$list>\n</$link>\n</td>\n<td>\n<$view field=\"text\"/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
        },
        "$:/core/ui/ControlPanel/Info": {
            "title": "$:/core/ui/ControlPanel/Info",
            "tags": "$:/tags/ControlPanel",
            "caption": "{{$:/language/ControlPanel/Info/Caption}}",
            "text": "{{$:/language/ControlPanel/Info/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Info]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Basics\">>\n</div>\n"
        },
        "$:/core/ui/ControlPanel/KeyboardShortcuts": {
            "title": "$:/core/ui/ControlPanel/KeyboardShortcuts",
            "tags": "$:/tags/ControlPanel",
            "caption": "{{$:/language/ControlPanel/KeyboardShortcuts/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/KeyboardShortcuts/\n\n\\define new-shortcut(title)\n<div class=\"tc-dropdown-item-plain\">\n<$edit-shortcut tiddler=\"$title$\" placeholder={{$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt}} focus=\"true\" style=\"width:auto;\"/> <$button>\n<<lingo Add/Caption>>\n<$action-listops\n\t$tiddler=\"$(shortcutTitle)$\"\n\t$field=\"text\"\n\t$subfilter=\"[{$title$}]\"\n/>\n<$action-deletetiddler\n\t$tiddler=\"$title$\"\n/>\n</$button>\n</div>\n\\end\n\n\\define shortcut-list-item(caption)\n<td>\n</td>\n<td style=\"text-align:right;font-size:0.7em;\">\n<<lingo Platform/$caption$>>\n</td>\n<td>\n<div style=\"position:relative;\">\n<$button popup=<<qualify \"$:/state/dropdown/$(shortcutTitle)$\">> class=\"tc-btn-invisible\">\n{{$:/core/images/edit-button}}\n</$button>\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts={{$(shortcutTitle)$}} prefix=\"<kbd>\" separator=\"</kbd> <kbd>\" suffix=\"</kbd>\"/>\n\n<$reveal state=<<qualify \"$:/state/dropdown/$(shortcutTitle)$\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown tc-popup-keep\">\n<$list filter=\"[list[$(shortcutTitle)$!!text]sort[title]]\" variable=\"shortcut\" emptyMessage=\"\"\"\n<div class=\"tc-dropdown-item-plain\">\n//<<lingo NoShortcuts/Caption>>//\n</div>\n\"\"\">\n<div class=\"tc-dropdown-item-plain\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint}}>\n<$action-listops\n\t$tiddler=\"$(shortcutTitle)$\"\n\t$field=\"text\"\n\t$subfilter=\"+[remove<shortcut>]\"\n/>\n<small>{{$:/core/images/close-button}}</small>\n</$button>\n<kbd>\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts=<<shortcut>>/>\n</kbd>\n</div>\n</$list>\n<hr/>\n<$macrocall $name=\"new-shortcut\" title=<<qualify \"$:/state/new-shortcut/$(shortcutTitle)$\">>/>\n</div>\n</div>\n</$reveal>\n</div>\n</td>\n\\end\n\n\\define shortcut-list(caption,prefix)\n<tr>\n<$list filter=\"[[$prefix$$(shortcutName)$]]\" variable=\"shortcutTitle\">\n<<shortcut-list-item \"$caption$\">>\n</$list>\n</tr>\n\\end\n\n\\define shortcut-editor()\n<<shortcut-list \"All\" \"$:/config/shortcuts/\">>\n<<shortcut-list \"Mac\" \"$:/config/shortcuts-mac/\">>\n<<shortcut-list \"NonMac\" \"$:/config/shortcuts-not-mac/\">>\n<<shortcut-list \"Linux\" \"$:/config/shortcuts-linux/\">>\n<<shortcut-list \"NonLinux\" \"$:/config/shortcuts-not-linux/\">>\n<<shortcut-list \"Windows\" \"$:/config/shortcuts-windows/\">>\n<<shortcut-list \"NonWindows\" \"$:/config/shortcuts-not-windows/\">>\n\\end\n\n\\define shortcut-preview()\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts={{$(shortcutPrefix)$$(shortcutName)$}} prefix=\"<kbd>\" separator=\"</kbd> <kbd>\" suffix=\"</kbd>\"/>\n\\end\n\n\\define shortcut-item-inner()\n<tr>\n<td>\n<$reveal type=\"nomatch\" state=<<dropdownStateTitle>> text=\"open\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield\n\t$tiddler=<<dropdownStateTitle>>\n\t$value=\"open\"\n/>\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<dropdownStateTitle>> text=\"open\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield\n\t$tiddler=<<dropdownStateTitle>>\n\t$value=\"close\"\n/>\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n''<$text text=<<shortcutName>>/>''\n</td>\n<td>\n<$transclude tiddler=\"$:/config/ShortcutInfo/$(shortcutName)$\"/>\n</td>\n<td>\n<$list filter=\"$:/config/shortcuts/ $:/config/shortcuts-mac/ $:/config/shortcuts-not-mac/ $:/config/shortcuts-linux/ $:/config/shortcuts-not-linux/ $:/config/shortcuts-windows/ $:/config/shortcuts-not-windows/\" variable=\"shortcutPrefix\">\n<<shortcut-preview>>\n</$list>\n</td>\n</tr>\n<$set name=\"dropdownState\" value={{$(dropdownStateTitle)$}}>\n<$list filter=\"[<dropdownState>match[open]]\" variable=\"listItem\">\n<<shortcut-editor>>\n</$list>\n</$set>\n\\end\n\n\\define shortcut-item()\n<$set name=\"dropdownStateTitle\" value=<<qualify \"$:/state/dropdown/keyboardshortcut/$(shortcutName)$\">>>\n<<shortcut-item-inner>>\n</$set>\n\\end\n\n<table>\n<tbody>\n<$list filter=\"[all[shadows+tiddlers]removeprefix[$:/config/ShortcutInfo/]]\" variable=\"shortcutName\">\n<<shortcut-item>>\n</$list>\n</tbody>\n</table>\n"
        },
        "$:/core/ui/ControlPanel/LoadedModules": {
            "title": "$:/core/ui/ControlPanel/LoadedModules",
            "tags": "$:/tags/ControlPanel/Advanced",
            "caption": "{{$:/language/ControlPanel/LoadedModules/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/\n<<lingo LoadedModules/Hint>>\n\n{{$:/snippets/modules}}\n"
        },
        "$:/core/ui/ControlPanel/Modals/AddPlugins": {
            "title": "$:/core/ui/ControlPanel/Modals/AddPlugins",
            "subtitle": "{{$:/core/images/download-button}} {{$:/language/ControlPanel/Plugins/Add/Caption}}",
            "text": "\\define install-plugin-actions()\n<$action-sendmessage $message=\"tm-load-plugin-from-library\" url={{!!url}} title={{$(assetInfo)$!!original-title}}/>\n<$set name=\"url\" value={{!!url}}>\n<$set name=\"currentTiddler\" value=<<assetInfo>>>\n<$list filter=\"[enlist{!!dependents}] [{!!parent-plugin}] +[sort[title]]\" variable=\"dependency\">\n<$action-sendmessage $message=\"tm-load-plugin-from-library\" url=<<url>> title=<<dependency>>/>\n</$list>\n</$set>\n</$set>\n\\end\n\n\\define install-plugin-button()\n<div>\n<$set name=\"libraryVersion\" value={{{ [<assetInfo>get[version]] }}}>\n<$set name=\"installedVersion\" value={{{ [<assetInfo>get[original-title]get[version]] }}}>\n<$set name=\"reinstall-type\" value={{{ [<libraryVersion>compare:version:eq<installedVersion>then[tc-reinstall]] [<libraryVersion>compare:version:gt<installedVersion>then[tc-reinstall-upgrade]] [<libraryVersion>compare:version:lt<installedVersion>then[tc-reinstall-downgrade]] }}}>\n<$button actions=<<install-plugin-actions>> class={{{ [<assetInfo>get[original-title]has[version]then<reinstall-type>] tc-btn-invisible tc-install-plugin +[join[ ]] }}}>\n{{$:/core/images/download-button}}\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"ignore\" emptyMessage=\"{{$:/language/ControlPanel/Plugins/Install/Caption}}\">\n<$list filter=\"[<libraryVersion>compare:version:gt<installedVersion>]\" variable=\"ignore\" emptyMessage=\"\"\"\n<$list filter=\"[<libraryVersion>compare:version:lt<installedVersion>]\" variable=\"ignore\" emptyMessage=\"{{$:/language/ControlPanel/Plugins/Reinstall/Caption}}\">\n{{$:/language/ControlPanel/Plugins/Downgrade/Caption}}\n</$list>\n\"\"\">\n{{$:/language/ControlPanel/Plugins/Update/Caption}}\n</$list>\n</$list>\n</$button>\n<div>\n</div>\n<$reveal stateTitle=<<assetInfo>> stateField=\"requires-reload\" type=\"match\" text=\"yes\">{{$:/language/ControlPanel/Plugins/PluginWillRequireReload}}</$reveal>\n</$set>\n</$set>\n</$set>\n</div>\n\\end\n\n\\define popup-state-macro()\n$:/state/add-plugin-info/$(connectionTiddler)$/$(assetInfo)$\n\\end\n\n\\define display-plugin-info(type)\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<div class=\"tc-plugin-info\">\n<div class=\"tc-plugin-info-chunk tc-plugin-info-toggle\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/chevron-right}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-icon\">\n<$list filter=\"[<assetInfo>has[icon]]\" emptyMessage=\"\"\"<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\"\"\">\n<img src={{$(assetInfo)$!!icon}}/>\n</$list>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-description\">\n<h1><strong><$text text={{{ [<assetInfo>get[name]] ~[<assetInfo>get[original-title]split[/]last[1]] }}}/></strong>: <$view tiddler=<<assetInfo>> field=\"description\"/></h1>\n<h2><$view tiddler=<<assetInfo>> field=\"original-title\"/></h2>\n<div><em><$view tiddler=<<assetInfo>> field=\"version\"/></em></div>\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"installedVersion\"><div><em>{{$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint}}</em></div></$list>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-buttons\">\n<<install-plugin-button>>\n</div>\n</div>\n<$set name=\"original-title\" value={{{ [<assetInfo>get[original-title]] }}}>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>>>\n<div class=\"tc-plugin-info-dropdown\">\n<$list filter=\"[enlist{!!dependents}] [<currentTiddler>get[parent-plugin]] +[limit[1]] ~[<assetInfo>get[original-title]!is[tiddler]]\" variable=\"ignore\">\n<div class=\"tc-plugin-info-dropdown-message\">\n<$list filter=\"[<assetInfo>get[original-title]!is[tiddler]]\">\n{{$:/language/ControlPanel/Plugins/NotInstalled/Hint}}\n</$list>\n<$set name=\"currentTiddler\" value=<<assetInfo>>>\n<$list filter=\"[enlist{!!dependents}] [<currentTiddler>get[parent-plugin]] +[limit[1]]\" variable=\"ignore\">\n<div>\n{{$:/language/ControlPanel/Plugins/AlsoRequires}}\n<$list filter=\"[enlist{!!dependents}] [{!!parent-plugin}] +[sort[title]]\" variable=\"dependency\">\n<$text text=<<dependency>>/>\n</$list>\n</div>\n</$list>\n</$set>\n</div>\n</$list>\n<div class=\"tc-plugin-info-dropdown-body\">\n<$transclude tiddler=<<assetInfo>> field=\"readme\" mode=\"block\"/>\n</div>\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>limit[1]]\" variable=\"ignore\">\n<div class=\"tc-plugin-info-sub-plugins\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>sort[title]]\" variable=\"assetInfo\">\n<<display-plugin-info \"$type$\">>\n</$list>\n</div>\n</$list>\n</div>\n</$reveal>\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>limit[1]]\" variable=\"ignore\">\n<$reveal type=\"nomatch\" text=\"yes\" state=<<popup-state>> tag=\"div\" class=\"tc-plugin-info-sub-plugin-indicator\">\n<$wikify name=\"count\" text=\"\"\"<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>]\"/>\"\"\">\n<$button class=\"tc-btn-invisible\" set=<<popup-state>> setTo=\"yes\">\n{{$:/language/ControlPanel/Plugins/SubPluginPrompt}}\n</$button>\n</$wikify>\n</$reveal>\n</$list>\n</$set>\n</$set>\n\\end\n\n\\define load-plugin-library-button()\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-load-plugin-library\" url={{!!url}} infoTitlePrefix=\"$:/temp/RemoteAssetInfo/\"/>\n{{$:/core/images/chevron-right}} {{$:/language/ControlPanel/Plugins/OpenPluginLibrary}}\n</$button>\n\\end\n\n\\define display-server-assets(type)\n{{$:/language/Search/Search}}: <$edit-text tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" default=\"\" type=\"search\" tag=\"input\"/>\n<$reveal state=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n<div class=\"tc-plugin-library-listing\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]search:author,description,original-title,readme,title{$:/temp/RemoteAssetSearch/$(currentTiddler)$}sort[title]]\" variable=\"assetInfo\">\n<$list filter=\"[[$:/temp/RemoteAssetSearch/$(currentTiddler)$]has[text]] ~[<assetInfo>!has[parent-plugin]]\" variable=\"ignore\"><!-- Hide sub-plugins if we're not searching -->\n<<display-plugin-info \"$type$\">>\n</$list>\n</$list>\n</div>\n\\end\n\n\\define display-server-connection()\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/ServerConnection]suffix{!!url}]\" variable=\"connectionTiddler\" emptyMessage=<<load-plugin-library-button>>>\n\n<$set name=\"transclusion\" value=<<connectionTiddler>>>\n\n<<tabs \"[[$:/core/ui/ControlPanel/Plugins/Add/Updates]] [[$:/core/ui/ControlPanel/Plugins/Add/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Add/Themes]] [[$:/core/ui/ControlPanel/Plugins/Add/Languages]]\" \"$:/core/ui/ControlPanel/Plugins/Add/Plugins\">>\n\n</$set>\n\n</$list>\n\\end\n\n\\define close-library-button()\n<$reveal type='nomatch' state='$:/temp/ServerConnection/$(PluginLibraryURL)$' text=''>\n<$button class='tc-btn-big-green'>\n<$action-sendmessage $message=\"tm-unload-plugin-library\" url={{!!url}}/>\n{{$:/core/images/chevron-left}} {{$:/language/ControlPanel/Plugins/ClosePluginLibrary}}\n<$action-deletetiddler $filter=\"[prefix[$:/temp/ServerConnection/$(PluginLibraryURL)$]][prefix[$:/temp/RemoteAssetInfo/$(PluginLibraryURL)$]]\"/>\n</$button>\n</$reveal>\n\\end\n\n\\define plugin-library-listing()\n<div class=\"tc-tab-set\">\n<$set name=\"defaultTab\" value={{{ [all[tiddlers+shadows]tag[$:/tags/PluginLibrary]] }}}>\n<div class=\"tc-tab-buttons\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/PluginLibrary]]\">\n<$button set=<<qualify \"$:/state/addplugins/tab\">> setTo=<<currentTiddler>> default=<<defaultTab>> selectedClass=\"tc-tab-selected\">\n<$set name=\"tv-wikilinks\" value=\"no\">\n<$transclude field=\"caption\"/>\n</$set>\n</$button>\n</$list>\n</div>\n<div class=\"tc-tab-divider\"/>\n<div class=\"tc-tab-content\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/PluginLibrary]]\">\n<$reveal type=\"match\" state=<<qualify \"$:/state/addplugins/tab\">> text=<<currentTiddler>> default=<<defaultTab>>>\n<h2><$link><$transclude field=\"caption\"><$view field=\"title\"/></$transclude></$link></h2>\n//<$view field=\"url\"/>//\n<$transclude mode=\"block\"/>\n<$set name=PluginLibraryURL value={{!!url}}>\n<<close-library-button>>\n</$set>\n<<display-server-connection>>\n</$reveal>\n</$list>\n</div>\n</$set>\n</div>\n\\end\n\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<div>\n<<plugin-library-listing>>\n</div>\n"
        },
        "$:/core/ui/ControlPanel/Palette": {
            "title": "$:/core/ui/ControlPanel/Palette",
            "tags": "$:/tags/ControlPanel/Appearance",
            "caption": "{{$:/language/ControlPanel/Palette/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Palette/\n\n{{$:/snippets/paletteswitcher}}\n\n<$reveal type=\"nomatch\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"yes\"><<lingo ShowEditor/Caption>></$button>\n\n</$reveal>\n\n<$reveal type=\"match\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"no\"><<lingo HideEditor/Caption>></$button>\n{{$:/PaletteManager}}\n\n</$reveal>\n\n"
        },
        "$:/core/ui/ControlPanel/Parsing": {
            "title": "$:/core/ui/ControlPanel/Parsing",
            "tags": "$:/tags/ControlPanel/Advanced",
            "caption": "{{$:/language/ControlPanel/Parsing/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Parsing/\n\n\\define toggle(Type)\n<$checkbox\ntiddler=\"\"\"$:/config/WikiParserRules/$Type$/$(rule)$\"\"\"\nfield=\"text\"\nchecked=\"enable\"\nunchecked=\"disable\"\ndefault=\"enable\">\n<<rule>>\n</$checkbox>\n\\end\n\n\\define rules(type,Type)\n<$list filter=\"[wikiparserrules[$type$]]\" variable=\"rule\">\n<dd><<toggle $Type$>></dd>\n</$list>\n\\end\n\n<<lingo Hint>>\n\n<dl>\n<dt><<lingo Pragma/Caption>></dt>\n<<rules pragma Pragma>>\n<dt><<lingo Inline/Caption>></dt>\n<<rules inline Inline>>\n<dt><<lingo Block/Caption>></dt>\n<<rules block Block>>\n</dl>"
        },
        "$:/core/ui/ControlPanel/Plugins/Add/Languages": {
            "title": "$:/core/ui/ControlPanel/Plugins/Add/Languages",
            "caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[language]]\"/>)",
            "text": "<<display-server-assets language>>\n"
        },
        "$:/core/ui/ControlPanel/Plugins/Add/Plugins": {
            "title": "$:/core/ui/ControlPanel/Plugins/Add/Plugins",
            "caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}}  (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[plugin]]\"/>)",
            "text": "<<display-server-assets plugin>>\n"
        },
        "$:/core/ui/ControlPanel/Plugins/Add/Themes": {
            "title": "$:/core/ui/ControlPanel/Plugins/Add/Themes",
            "caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}}  (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[theme]]\"/>)",
            "text": "<<display-server-assets theme>>\n"
        },
        "$:/core/ui/ControlPanel/Plugins/Add/Updates": {
            "title": "$:/core/ui/ControlPanel/Plugins/Add/Updates",
            "caption": "<$importvariables filter=\"$:/core/ui/ControlPanel/Plugins/Add/Updates\">{{$:/language/ControlPanel/Plugins/Updates/Caption}} (<<update-count>>)</$importvariables>",
            "text": "\\define each-updateable-plugin(body)\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}sort[title]]\" variable=\"assetInfo\">\n<$set name=\"libraryVersion\" value={{{ [<assetInfo>get[version]] }}}>\n<$list filter=\"[<assetInfo>get[original-title]has[version]!version<libraryVersion>]\" variable=\"ignore\">\n<$set name=\"installedVersion\" value={{{ [<assetInfo>get[original-title]get[version]] }}}>\n<$list filter=\"[<installedversion>!match<libraryVersion>]\" variable=\"ignore\">\n$body$\n</$list>\n</$set>\n</$list>\n</$set>\n</$list>\n\\end\n\n\\define update-all-actions()\n<$macrocall $name=\"each-updateable-plugin\" body=\"\"\"\n<<install-plugin-actions>>\n\"\"\"/>\n\\end\n\n\\define update-count()\n<$wikify name=\"count-filter\" text=<<each-updateable-plugin \"&#91;&#91;<$text text=<<assetInfo>>/>]]\">>><$count filter=<<count-filter>>/></$wikify>\n\\end\n\n<$button actions=<<update-all-actions>> class=\"tc-btn-invisible tc-install-plugin tc-reinstall-upgrade\">\n{{$:/core/images/download-button}} {{||$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption}}\n</$button>\n\n<div class=\"tc-plugin-library-listing\">\n<$macrocall $name=\"each-updateable-plugin\" body=\"\"\"\n<$macrocall $name=\"display-plugin-info\" type={{{ [<assetInfo>get[original-plugin-type]] }}}/>\n\"\"\"/>\n</div>\n"
        },
        "$:/core/ui/ControlPanel/Plugins/AddPlugins": {
            "title": "$:/core/ui/ControlPanel/Plugins/AddPlugins",
            "text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n<$button message=\"tm-modal\" param=\"$:/core/ui/ControlPanel/Modals/AddPlugins\" tooltip={{$:/language/ControlPanel/Plugins/Add/Hint}} class=\"tc-btn-big-green tc-primary-btn\">\n{{$:/core/images/download-button}} <<lingo Add/Caption>>\n</$button>\n"
        },
        "$:/core/ui/ControlPanel/Plugins/Installed/Languages": {
            "title": "$:/core/ui/ControlPanel/Plugins/Installed/Languages",
            "caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[language]]\"/>)",
            "text": "<<plugin-table language>>\n"
        },
        "$:/core/ui/ControlPanel/Plugins/Installed/Plugins": {
            "title": "$:/core/ui/ControlPanel/Plugins/Installed/Plugins",
            "caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[plugin]]\"/>)",
            "text": "<<plugin-table plugin>>\n"
        },
        "$:/core/ui/ControlPanel/Plugins/Installed/Themes": {
            "title": "$:/core/ui/ControlPanel/Plugins/Installed/Themes",
            "caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[theme]]\"/>)",
            "text": "<<plugin-table theme>>\n"
        },
        "$:/core/ui/ControlPanel/Plugins": {
            "title": "$:/core/ui/ControlPanel/Plugins",
            "tags": "$:/tags/ControlPanel",
            "caption": "{{$:/language/ControlPanel/Plugins/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define plugin-table(type)\n<$set name=\"plugin-type\" value=\"\"\"$type$\"\"\">\n<$set name=\"qualified-state\" value=<<qualify \"$:/state/plugin-info\">>>\n<$list filter=\"[!has[draft.of]plugin-type[$type$]sort[title]]\" emptyMessage=<<lingo \"Empty/Hint\">> template=\"$:/core/ui/Components/plugin-info\"/>\n</$set>\n</$set>\n\\end\n\n{{$:/core/ui/ControlPanel/Plugins/AddPlugins}}\n\n<<lingo Installed/Hint>>\n\n<<tabs \"[[$:/core/ui/ControlPanel/Plugins/Installed/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Installed/Themes]] [[$:/core/ui/ControlPanel/Plugins/Installed/Languages]]\" \"$:/core/ui/ControlPanel/Plugins/Installed/Plugins\">>\n"
        },
        "$:/core/ui/ControlPanel/Saving/DownloadSaver": {
            "title": "$:/core/ui/ControlPanel/Saving/DownloadSaver",
            "tags": "$:/tags/ControlPanel/Saving",
            "caption": "{{$:/language/ControlPanel/Saving/DownloadSaver/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Saving/DownloadSaver/\n\n<<lingo Hint>>\n\n!! <$link to=\"$:/config/DownloadSaver/AutoSave\"><<lingo AutoSave/Hint>></$link>\n\n<$checkbox tiddler=\"$:/config/DownloadSaver/AutoSave\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <<lingo AutoSave/Description>> </$checkbox>\n"
        },
        "$:/core/ui/ControlPanel/Saving/General": {
            "title": "$:/core/ui/ControlPanel/Saving/General",
            "tags": "$:/tags/ControlPanel/Saving",
            "caption": "{{$:/language/ControlPanel/Saving/General/Caption}}",
            "list-before": "",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/\n\n{{$:/language/ControlPanel/Saving/General/Hint}}\n\n!! <$link to=\"$:/config/AutoSave\"><<lingo AutoSave/Caption>></$link>\n\n<<lingo AutoSave/Hint>>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"yes\"> <<lingo AutoSave/Enabled/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"no\"> <<lingo AutoSave/Disabled/Description>> </$radio>\n"
        },
        "$:/core/ui/ControlPanel/Saving/GitHub": {
            "title": "$:/core/ui/ControlPanel/Saving/GitHub",
            "tags": "$:/tags/ControlPanel/Saving",
            "caption": "{{$:/language/ControlPanel/Saving/GitService/GitHub/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~GitHub\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/GitHub/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo GitHub/Password>> |<$password name=\"github\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/GitHub/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/GitHub/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/GitHub/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/GitHub/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/GitHub/ServerURL\" default=\"https://api.github.com\" tag=\"input\"/> |"
        },
        "$:/core/ui/ControlPanel/Saving/GitLab": {
            "title": "$:/core/ui/ControlPanel/Saving/GitLab",
            "tags": "$:/tags/ControlPanel/Saving",
            "caption": "{{$:/language/ControlPanel/Saving/GitService/GitLab/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~GitLab\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/GitLab/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo GitLab/Password>> |<$password name=\"gitlab\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/GitLab/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/GitLab/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/GitLab/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/GitLab/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/GitLab/ServerURL\" default=\"https://gitlab.com/api/v4\" tag=\"input\"/> |"
        },
        "$:/core/ui/ControlPanel/Saving/TiddlySpot": {
            "title": "$:/core/ui/ControlPanel/Saving/TiddlySpot",
            "tags": "$:/tags/ControlPanel/Saving",
            "caption": "{{$:/language/ControlPanel/Saving/TiddlySpot/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Saving/TiddlySpot/\n\n\\define backupURL()\nhttp://$(userName)$.tiddlyspot.com/backup/\n\\end\n\\define backupLink()\n<$reveal type=\"nomatch\" state=\"$:/UploadName\" text=\"\">\n<$set name=\"userName\" value={{$:/UploadName}}>\n<$reveal type=\"match\" state=\"$:/UploadURL\" text=\"\">\n<<backupURL>>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/UploadURL\" text=\"\">\n<$macrocall $name=resolvePath source={{$:/UploadBackupDir}} root={{$:/UploadURL}}>>\n</$reveal>\n</$set>\n</$reveal>\n\\end\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/UploadName\" default=\"\" tag=\"input\"/> |\n|<<lingo Password>> |<$password name=\"upload\"/> |\n|<<lingo Backups>> |<<backupLink>> |\n\n''<<lingo Advanced/Heading>>''\n\n|<<lingo ServerURL>>  |<$edit-text tiddler=\"$:/UploadURL\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/UploadFilename\" default=\"index.html\" tag=\"input\"/> |\n|<<lingo UploadDir>> |<$edit-text tiddler=\"$:/UploadDir\" default=\".\" tag=\"input\"/> |\n|<<lingo BackupDir>> |<$edit-text tiddler=\"$:/UploadBackupDir\" default=\".\" tag=\"input\"/> |\n\n<<lingo TiddlySpot/Hint>>"
        },
        "$:/core/ui/ControlPanel/Saving/Gitea": {
            "title": "$:/core/ui/ControlPanel/Saving/Gitea",
            "tags": "$:/tags/ControlPanel/Saving",
            "caption": "{{$:/language/ControlPanel/Saving/GitService/Gitea/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~Gitea\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/Gitea/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo Gitea/Password>> |<$password name=\"Gitea\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/Gitea/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/Gitea/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/Gitea/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/Gitea/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/Gitea/ServerURL\" default=\"https://gitea/api/v1\" tag=\"input\"/> |\n"
        },
        "$:/core/ui/ControlPanel/Saving": {
            "title": "$:/core/ui/ControlPanel/Saving",
            "tags": "$:/tags/ControlPanel",
            "caption": "{{$:/language/ControlPanel/Saving/Caption}}",
            "text": "{{$:/language/ControlPanel/Saving/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Saving]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Saving/General\">>\n</div>\n"
        },
        "$:/core/buttonstyles/Borderless": {
            "title": "$:/core/buttonstyles/Borderless",
            "tags": "$:/tags/ToolbarButtonStyle",
            "caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless}}",
            "text": "tc-btn-invisible"
        },
        "$:/core/buttonstyles/Boxed": {
            "title": "$:/core/buttonstyles/Boxed",
            "tags": "$:/tags/ToolbarButtonStyle",
            "caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed}}",
            "text": "tc-btn-boxed"
        },
        "$:/core/buttonstyles/Rounded": {
            "title": "$:/core/buttonstyles/Rounded",
            "tags": "$:/tags/ToolbarButtonStyle",
            "caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded}}",
            "text": "tc-btn-rounded"
        },
        "$:/core/ui/ControlPanel/Settings/CamelCase": {
            "title": "$:/core/ui/ControlPanel/Settings/CamelCase",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/CamelCase/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/CamelCase/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/WikiParserRules/Inline/wikilink\" field=\"text\" checked=\"enable\" unchecked=\"disable\" default=\"enable\"> <$link to=\"$:/config/WikiParserRules/Inline/wikilink\"><<lingo Description>></$link> </$checkbox>\n"
        },
        "$:/core/ui/ControlPanel/Settings/DefaultMoreSidebarTab": {
            "title": "$:/core/ui/ControlPanel/Settings/DefaultMoreSidebarTab",
            "caption": "{{$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption}}",
            "tags": "$:/tags/ControlPanel/Settings",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/DefaultMoreSidebarTab/\n\n<$link to=\"$:/config/DefaultMoreSidebarTab\"><<lingo Hint>></$link>\n\n<$select tiddler=\"$:/config/DefaultMoreSidebarTab\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]\">\n<option value=<<currentTiddler>>><$transclude field=\"caption\"><$text text=<<currentTiddler>>/></$transclude></option>\n</$list>\n</$select>\n"
        },
        "$:/core/ui/ControlPanel/Settings/DefaultSidebarTab": {
            "title": "$:/core/ui/ControlPanel/Settings/DefaultSidebarTab",
            "caption": "{{$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption}}",
            "tags": "$:/tags/ControlPanel/Settings",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/DefaultSidebarTab/\n\n<$link to=\"$:/config/DefaultSidebarTab\"><<lingo Hint>></$link>\n\n<$select tiddler=\"$:/config/DefaultSidebarTab\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\">\n<option value=<<currentTiddler>>><$transclude field=\"caption\"><$text text=<<currentTiddler>>/></$transclude></option>\n</$list>\n</$select>\n"
        },
        "$:/core/ui/ControlPanel/Settings/EditorToolbar": {
            "title": "$:/core/ui/ControlPanel/Settings/EditorToolbar",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/EditorToolbar/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/EditorToolbar/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/TextEditor/EnableToolbar\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/TextEditor/EnableToolbar\"><<lingo Description>></$link> </$checkbox>\n\n"
        },
        "$:/core/ui/ControlPanel/Settings/InfoPanelMode": {
            "title": "$:/core/ui/ControlPanel/Settings/InfoPanelMode",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/InfoPanelMode/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/InfoPanelMode/\n<$link to=\"$:/config/TiddlerInfo/Mode\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/TiddlerInfo/Mode\" value=\"popup\"> <<lingo Popup/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/TiddlerInfo/Mode\" value=\"sticky\"> <<lingo Sticky/Description>> </$radio>\n"
        },
        "$:/core/ui/ControlPanel/Settings/LinkToBehaviour": {
            "title": "$:/core/ui/ControlPanel/Settings/LinkToBehaviour",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/LinkToBehaviour/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/LinkToBehaviour/\n\n<$link to=\"$:/config/Navigation/openLinkFromInsideRiver\"><<lingo \"InsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromInsideRiver\">\n  <option value=\"above\"><<lingo \"OpenAbove\">></option>\n  <option value=\"below\"><<lingo \"OpenBelow\">></option>\n  <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n  <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n\n<$link to=\"$:/config/Navigation/openLinkFromOutsideRiver\"><<lingo \"OutsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromOutsideRiver\">\n  <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n  <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n"
        },
        "$:/core/ui/ControlPanel/Settings/MissingLinks": {
            "title": "$:/core/ui/ControlPanel/Settings/MissingLinks",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/MissingLinks/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/MissingLinks/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/MissingLinks\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/MissingLinks\"><<lingo Description>></$link> </$checkbox>\n\n"
        },
        "$:/core/ui/ControlPanel/Settings/NavigationAddressBar": {
            "title": "$:/core/ui/ControlPanel/Settings/NavigationAddressBar",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/NavigationAddressBar/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationAddressBar/\n\n<$link to=\"$:/config/Navigation/UpdateAddressBar\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permaview\"> <<lingo Permaview/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permalink\"> <<lingo Permalink/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
        },
        "$:/core/ui/ControlPanel/Settings/NavigationHistory": {
            "title": "$:/core/ui/ControlPanel/Settings/NavigationHistory",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/NavigationHistory/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationHistory/\n<$link to=\"$:/config/Navigation/UpdateHistory\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
        },
        "$:/core/ui/ControlPanel/Settings/NavigationPermalinkviewMode": {
            "title": "$:/core/ui/ControlPanel/Settings/NavigationPermalinkviewMode",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationPermalinkviewMode/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Navigation/Permalinkview/CopyToClipboard\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Navigation/Permalinkview/CopyToClipboard\"><<lingo CopyToClipboard/Description>></$link> </$checkbox>\n\n<$checkbox tiddler=\"$:/config/Navigation/Permalinkview/UpdateAddressBar\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Navigation/Permalinkview/UpdateAddressBar\"><<lingo UpdateAddressBar/Description>></$link> </$checkbox>\n"
        },
        "$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation": {
            "title": "$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/PerformanceInstrumentation/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Performance/Instrumentation\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Performance/Instrumentation\"><<lingo Description>></$link> </$checkbox>\n"
        },
        "$:/core/ui/ControlPanel/Settings/TitleLinks": {
            "title": "$:/core/ui/ControlPanel/Settings/TitleLinks",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/TitleLinks/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/TitleLinks/\n<$link to=\"$:/config/Tiddlers/TitleLinks\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
        },
        "$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle": {
            "title": "$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtonStyle/\n<$link to=\"$:/config/Toolbar/ButtonClass\"><<lingo \"Hint\">></$link>\n\n<$select tiddler=\"$:/config/Toolbar/ButtonClass\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ToolbarButtonStyle]]\">\n<option value={{!!text}}>{{!!caption}}</option>\n</$list>\n</$select>\n"
        },
        "$:/core/ui/ControlPanel/Settings/ToolbarButtons": {
            "title": "$:/core/ui/ControlPanel/Settings/ToolbarButtons",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/ToolbarButtons/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtons/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Icons\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Toolbar/Icons\"><<lingo Icons/Description>></$link> </$checkbox>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Text\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Toolbar/Text\"><<lingo Text/Description>></$link> </$checkbox>\n"
        },
        "$:/core/ui/ControlPanel/Settings": {
            "title": "$:/core/ui/ControlPanel/Settings",
            "tags": "$:/tags/ControlPanel",
            "caption": "{{$:/language/ControlPanel/Settings/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/\n\n<<lingo Hint>>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Settings]]\">\n\n<div style=\"border-top:1px solid #eee;\">\n\n!! <$link><$transclude field=\"caption\"/></$link>\n\n<$transclude/>\n\n</div>\n\n</$list>\n"
        },
        "$:/core/ui/ControlPanel/StoryView": {
            "title": "$:/core/ui/ControlPanel/StoryView",
            "tags": "$:/tags/ControlPanel/Appearance",
            "caption": "{{$:/language/ControlPanel/StoryView/Caption}}",
            "text": "{{$:/snippets/viewswitcher}}\n"
        },
        "$:/core/ui/ControlPanel/Stylesheets": {
            "title": "$:/core/ui/ControlPanel/Stylesheets",
            "tags": "$:/tags/ControlPanel/Advanced",
            "caption": "{{$:/language/ControlPanel/Stylesheets/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/\n\n<<lingo Stylesheets/Hint>>\n\n{{$:/snippets/peek-stylesheets}}\n"
        },
        "$:/core/ui/ControlPanel/Theme": {
            "title": "$:/core/ui/ControlPanel/Theme",
            "tags": "$:/tags/ControlPanel/Appearance",
            "caption": "{{$:/language/ControlPanel/Theme/Caption}}",
            "text": "{{$:/snippets/themeswitcher}}\n"
        },
        "$:/core/ui/ControlPanel/TiddlerFields": {
            "title": "$:/core/ui/ControlPanel/TiddlerFields",
            "tags": "$:/tags/ControlPanel/Advanced",
            "caption": "{{$:/language/ControlPanel/TiddlerFields/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/\n\n<<lingo TiddlerFields/Hint>>\n\n{{$:/snippets/allfields}}"
        },
        "$:/core/ui/ControlPanel/Toolbars/EditToolbar": {
            "title": "$:/core/ui/ControlPanel/Toolbars/EditToolbar",
            "tags": "$:/tags/ControlPanel/Toolbars",
            "caption": "{{$:/language/ControlPanel/Toolbars/EditToolbar/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/EditToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/EditToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/EditToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>"
        },
        "$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate": {
            "title": "$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate",
            "text": "\\define config-title()\n$(config-base)$$(currentTiddler)$\n\\end\n\n<$draggable tiddler=<<currentTiddler>>>\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <span class=\"tc-icon-wrapper\"><$transclude tiddler={{!!icon}}/></span> <$transclude field=\"caption\"/> -- <i class=\"tc-muted\"><$transclude field=\"description\"/></i>\n</$draggable>\n"
        },
        "$:/core/ui/ControlPanel/Toolbars/EditorToolbar": {
            "title": "$:/core/ui/ControlPanel/Toolbars/EditorToolbar",
            "tags": "$:/tags/ControlPanel/Toolbars",
            "caption": "{{$:/language/ControlPanel/Toolbars/EditorToolbar/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/EditorToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/EditorToolbar/Hint}}\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/EditorToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate\"/>\n"
        },
        "$:/core/ui/ControlPanel/Toolbars/ItemTemplate": {
            "title": "$:/core/ui/ControlPanel/Toolbars/ItemTemplate",
            "text": "\\define config-title()\n$(config-base)$$(currentTiddler)$\n\\end\n\n<$draggable tiddler=<<currentTiddler>>>\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <span class=\"tc-icon-wrapper\"> <$transclude field=\"caption\"/> <i class=\"tc-muted\">-- <$transclude field=\"description\"/></i></span>\n</$draggable>\n"
        },
        "$:/core/ui/ControlPanel/Toolbars/PageControls": {
            "title": "$:/core/ui/ControlPanel/Toolbars/PageControls",
            "tags": "$:/tags/ControlPanel/Toolbars",
            "caption": "{{$:/language/ControlPanel/Toolbars/PageControls/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/PageControlButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/PageControls/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/PageControls\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n"
        },
        "$:/core/ui/ControlPanel/Toolbars/ViewToolbar": {
            "title": "$:/core/ui/ControlPanel/Toolbars/ViewToolbar",
            "tags": "$:/tags/ControlPanel/Toolbars",
            "caption": "{{$:/language/ControlPanel/Toolbars/ViewToolbar/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/ViewToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/ViewToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/ViewToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n"
        },
        "$:/core/ui/ControlPanel/Toolbars": {
            "title": "$:/core/ui/ControlPanel/Toolbars",
            "tags": "$:/tags/ControlPanel/Appearance",
            "caption": "{{$:/language/ControlPanel/Toolbars/Caption}}",
            "text": "{{$:/language/ControlPanel/Toolbars/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Toolbars]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Toolbars/ViewToolbar\" \"$:/state/tabs/controlpanel/toolbars\" \"tc-vertical\">>\n</div>\n"
        },
        "$:/ControlPanel": {
            "title": "$:/ControlPanel",
            "icon": "$:/core/images/options-button",
            "color": "#bbb",
            "text": "<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Info\">>\n</div>\n"
        },
        "$:/core/ui/DefaultSearchResultList": {
            "title": "$:/core/ui/DefaultSearchResultList",
            "tags": "$:/tags/SearchResults",
            "caption": "{{$:/language/Search/DefaultResults/Caption}}",
            "text": "\\define searchResultList()\n//<small>{{$:/language/Search/Matches/Title}}</small>//\n\n<$list filter=\"[!is[system]search:title{$(searchTiddler)$}sort[title]limit[250]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n//<small>{{$:/language/Search/Matches/All}}</small>//\n\n<$list filter=\"[!is[system]search{$(searchTiddler)$}sort[title]limit[250]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n\\end\n<<searchResultList>>\n"
        },
        "$:/core/ui/EditTemplate/body/preview/diffs-current": {
            "title": "$:/core/ui/EditTemplate/body/preview/diffs-current",
            "tags": "$:/tags/EditPreview",
            "caption": "differences from current",
            "list-after": "$:/core/ui/EditTemplate/body/preview/output",
            "text": "<$list filter=\"[<currentTiddler>!is[image]]\" emptyMessage={{$:/core/ui/EditTemplate/body/preview/output}}>\n\n<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle={{!!draft.of}} destTiddlerTitle=<<currentTiddler>>/>\n\n</$list>\n\n"
        },
        "$:/core/ui/EditTemplate/body/preview/diffs-shadow": {
            "title": "$:/core/ui/EditTemplate/body/preview/diffs-shadow",
            "tags": "$:/tags/EditPreview",
            "caption": "differences from shadow (if any)",
            "list-after": "$:/core/ui/EditTemplate/body/preview/output",
            "text": "<$list filter=\"[<currentTiddler>!is[image]]\" emptyMessage={{$:/core/ui/EditTemplate/body/preview/output}}>\n\n<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle={{{ [{!!draft.of}shadowsource[]] }}} sourceSubTiddlerTitle={{!!draft.of}} destTiddlerTitle=<<currentTiddler>>/>\n\n</$list>\n\n"
        },
        "$:/core/ui/EditTemplate/body/preview/output": {
            "title": "$:/core/ui/EditTemplate/body/preview/output",
            "tags": "$:/tags/EditPreview",
            "caption": "{{$:/language/EditTemplate/Body/Preview/Type/Output}}",
            "text": "\\import [all[shadows+tiddlers]tag[$:/tags/Macro/View]!has[draft.of]]\n<$set name=\"tv-tiddler-preview\" value=\"yes\">\n\n<$transclude />\n\n</$set>\n"
        },
        "$:/state/showeditpreview": {
            "title": "$:/state/showeditpreview",
            "text": "no"
        },
        "$:/core/ui/EditTemplate/body/editor": {
            "title": "$:/core/ui/EditTemplate/body/editor",
            "text": "<$edit\n\n  field=\"text\"\n  class=\"tc-edit-texteditor tc-edit-texteditor-body\"\n  placeholder={{$:/language/EditTemplate/Body/Placeholder}}\n  tabindex={{$:/config/EditTabIndex}}\n  focus={{{ [{$:/config/AutoFocus}match[text]then[true]] ~[[false]] }}}\n\n><$set\n\n  name=\"targetTiddler\"\n  value=<<currentTiddler>>\n\n><$list\n\n  filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorToolbar]!has[draft.of]]\"\n\n><$reveal\n\n  type=\"nomatch\"\n  state=<<config-visibility-title>>\n  text=\"hide\"\n  class=\"tc-text-editor-toolbar-item-wrapper\"\n\n><$transclude\n\n  tiddler=\"$:/core/ui/EditTemplate/body/toolbar/button\"\n  mode=\"inline\"\n\n/></$reveal></$list></$set></$edit>\n"
        },
        "$:/core/ui/EditTemplate/body/toolbar/button": {
            "title": "$:/core/ui/EditTemplate/body/toolbar/button",
            "text": "\\define toolbar-button-icon()\n<$list\n\n  filter=\"[all[current]!has[custom-icon]]\"\n  variable=\"no-custom-icon\"\n\n><$transclude\n\n  tiddler={{!!icon}}\n\n/></$list>\n\\end\n\n\\define toolbar-button-tooltip()\n{{!!description}}<$macrocall $name=\"displayshortcuts\" $output=\"text/plain\" shortcuts={{!!shortcuts}} prefix=\"` - [\" separator=\"] [\" suffix=\"]`\"/>\n\\end\n\n\\define toolbar-button()\n<$list\n\n  filter={{!!condition}}\n  variable=\"list-condition\"\n\n><$wikify\n\n  name=\"tooltip-text\"\n  text=<<toolbar-button-tooltip>>\n  mode=\"inline\"\n  output=\"text\"\n\n><$list\n\n  filter=\"[all[current]!has[dropdown]]\"\n  variable=\"no-dropdown\"\n\n><$button\n\n  class=\"tc-btn-invisible $(buttonClasses)$\"\n  tooltip=<<tooltip-text>>\n  actions={{!!actions}}\n\n><span\n\n  data-tw-keyboard-shortcut={{!!shortcuts}}\n\n/><<toolbar-button-icon>><$transclude\n\n  tiddler=<<currentTiddler>>\n  field=\"text\"\n\n/></$button></$list><$list\n\n  filter=\"[all[current]has[dropdown]]\"\n  variable=\"dropdown\"\n\n><$set\n\n  name=\"dropdown-state\"\n  value=<<qualify \"$:/state/EditorToolbarDropdown\">>\n\n><$button\n\n  popup=<<dropdown-state>>\n  class=\"tc-popup-keep tc-btn-invisible $(buttonClasses)$\"\n  selectedClass=\"tc-selected\"\n  tooltip=<<tooltip-text>>\n  actions={{!!actions}}\n\n><span\n\n  data-tw-keyboard-shortcut={{!!shortcuts}}\n\n/><<toolbar-button-icon>><$transclude\n\n  tiddler=<<currentTiddler>>\n  field=\"text\"\n\n/></$button><$reveal\n\n  state=<<dropdown-state>>\n  type=\"popup\"\n  position=\"below\"\n  animate=\"yes\"\n  tag=\"span\"\n\n><div\n\n  class=\"tc-drop-down tc-popup-keep\"\n\n><$transclude\n\n  tiddler={{!!dropdown}}\n  mode=\"block\"\n\n/></div></$reveal></$set></$list></$wikify></$list>\n\\end\n\n\\define toolbar-button-outer()\n<$set\n\n  name=\"buttonClasses\"\n  value={{!!button-classes}}\n\n><<toolbar-button>></$set>\n\\end\n\n<<toolbar-button-outer>>"
        },
        "$:/core/ui/EditTemplate/body": {
            "title": "$:/core/ui/EditTemplate/body",
            "tags": "$:/tags/EditTemplate",
            "text": "\\define lingo-base() $:/language/EditTemplate/Body/\n\\define config-visibility-title()\n$:/config/EditorToolbarButtons/Visibility/$(currentTiddler)$\n\\end\n<$list filter=\"[all[current]has[_canonical_uri]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo External/Hint>>\n\n<a href={{!!_canonical_uri}}><$text text={{!!_canonical_uri}}/></a>\n\n<$edit-text field=\"_canonical_uri\" class=\"tc-edit-fields\" tabindex={{$:/config/EditTabIndex}}></$edit-text>\n\n</div>\n\n</$list>\n\n<$list filter=\"[all[current]!has[_canonical_uri]]\">\n\n<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"yes\">\n\n<div class=\"tc-tiddler-preview\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/editor\" mode=\"inline\"/>\n\n<div class=\"tc-tiddler-preview-preview\">\n\n<$transclude tiddler={{$:/state/editpreviewtype}} mode=\"inline\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/preview/output\" mode=\"inline\"/>\n\n</$transclude>\n\n</div>\n\n</div>\n\n</$reveal>\n\n<$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"yes\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/editor\" mode=\"inline\"/>\n\n</$reveal>\n\n</$list>\n"
        },
        "$:/core/ui/EditTemplate/controls": {
            "title": "$:/core/ui/EditTemplate/controls",
            "tags": "$:/tags/EditTemplate",
            "text": "\\define config-title()\n$:/config/EditToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title tc-tiddler-edit-title\">\n<$view field=\"title\"/>\n<span class=\"tc-tiddler-controls tc-titlebar\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$transclude tiddler=<<listItem>>/></$reveal></$list></span>\n<div style=\"clear: both;\"></div>\n</div>\n"
        },
        "$:/core/ui/EditTemplate/fields": {
            "title": "$:/core/ui/EditTemplate/fields",
            "tags": "$:/tags/EditTemplate",
            "text": "\\define lingo-base() $:/language/EditTemplate/\n\\define config-title()\n$:/config/EditTemplateFields/Visibility/$(currentField)$\n\\end\n\n\\define config-filter()\n[[hide]] -[title{$(config-title)$}]\n\\end\n\n\\define current-tiddler-new-field-selector()\n[data-tiddler-title=\"$(currentTiddlerCSSescaped)$\"] .tc-edit-field-add-name input\n\\end\n\n\\define new-field-actions()\n<$action-sendmessage $message=\"tm-add-field\" $name={{{ [<newFieldNameTiddler>get[text]] }}} $value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newFieldNameTiddler>>/>\n<$action-deletetiddler $tiddler=<<newFieldValueTiddler>>/>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=<<current-tiddler-new-field-selector>>/>\n\\end\n\n\\define new-field()\n<$vars name={{{ [<newFieldNameTiddler>get[text]] }}}>\n<$reveal type=\"nomatch\" text=\"\" default=<<name>>>\n<$button tooltip=<<lingo Fields/Add/Button/Hint>>>\n<$action-sendmessage $message=\"tm-add-field\"\n$name=<<name>>\n$value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newFieldNameTiddler>>/>\n<$action-deletetiddler $tiddler=<<newFieldValueTiddler>>/>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" text=\"\" default=<<name>>>\n<$button>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n</$vars>\n\\end\n\\whitespace trim\n\n<div class=\"tc-edit-fields\">\n<table class=\"tc-edit-fields\">\n<tbody>\n<$list filter=\"[all[current]fields[]] +[sort[title]]\" variable=\"currentField\" storyview=\"pop\">\n<$list filter=<<config-filter>> variable=\"temp\">\n<tr class=\"tc-edit-field\">\n<td class=\"tc-edit-field-name\">\n<$text text=<<currentField>>/>:</td>\n<td class=\"tc-edit-field-value\">\n<$edit-text tiddler=<<currentTiddler>> field=<<currentField>> placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}} tabindex={{$:/config/EditTabIndex}}/>\n</td>\n<td class=\"tc-edit-field-remove\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/EditTemplate/Field/Remove/Hint}} aria-label={{$:/language/EditTemplate/Field/Remove/Caption}}>\n<$action-deletefield $field=<<currentField>>/>\n{{$:/core/images/delete-button}}\n</$button>\n</td>\n</tr>\n</$list>\n</$list>\n</tbody>\n</table>\n</div>\n\n<$fieldmangler>\n<div class=\"tc-edit-field-add\">\n<em class=\"tc-edit\">\n<<lingo Fields/Add/Prompt>>&nbsp;&nbsp;\n</em>\n<span class=\"tc-edit-field-add-name\">\n<$edit-text tiddler=<<newFieldNameTiddler>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Name/Placeholder}} focusPopup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-edit-texteditor tc-popup-handle\" tabindex={{$:/config/EditTabIndex}} focus={{{ [{$:/config/AutoFocus}match[fields]then[true]] ~[[false]] }}}/>\n</span>&nbsp;\n<$button popup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Field/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Field/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button>&nbsp;\n<$reveal state=<<qualify \"$:/state/popup/field-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$linkcatcher to=<<newFieldNameTiddler>>>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/User>>\n</div>\n<$set name=\"newFieldName\" value={{{ [<newFieldNameTiddler>get[text]] }}}>\n<$list filter=\"[!is[shadow]!is[system]fields[]search:title<newFieldName>sort[]] -created -creator -draft.of -draft.title -modified -modifier -tags -text -title -type\"  variable=\"currentField\">\n<$link to=<<currentField>>>\n<$text text=<<currentField>>/>\n</$link>\n</$list>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/System>>\n</div>\n<$list filter=\"[fields[]search:title<newFieldName>sort[]] -[!is[shadow]!is[system]fields[]]\" variable=\"currentField\">\n<$link to=<<currentField>>>\n<$text text=<<currentField>>/>\n</$link>\n</$list>\n</$set>\n</$linkcatcher>\n</$set>\n</div>\n</$reveal>\n<span class=\"tc-edit-field-add-value\">\n<$set name=\"currentTiddlerCSSescaped\" value={{{ [<currentTiddler>escapecss[]] }}}>\n<$keyboard key=\"((add-field))\" actions=<<new-field-actions>>>\n<$edit-text tiddler=<<newFieldValueTiddler>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}} class=\"tc-edit-texteditor\" tabindex={{$:/config/EditTabIndex}}/>\n</$keyboard>\n</$set>\n</span>&nbsp;\n<span class=\"tc-edit-field-add-button\">\n<$macrocall $name=\"new-field\"/>\n</span>\n</div>\n</$fieldmangler>\n"
        },
        "$:/core/ui/EditTemplate/shadow": {
            "title": "$:/core/ui/EditTemplate/shadow",
            "tags": "$:/tags/EditTemplate",
            "text": "\\define lingo-base() $:/language/EditTemplate/Shadow/\n\\define pluginLinkBody()\n<$link to=\"\"\"$(pluginTitle)$\"\"\">\n<$text text=\"\"\"$(pluginTitle)$\"\"\"/>\n</$link>\n\\end\n<$list filter=\"[all[current]get[draft.of]is[shadow]!is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>\n\n<$list filter=\"[all[current]get[draft.of]is[shadow]is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo OverriddenWarning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>"
        },
        "$:/core/ui/EditTemplate/tags": {
            "title": "$:/core/ui/EditTemplate/tags",
            "tags": "$:/tags/EditTemplate",
            "text": "\\whitespace trim\n\n\\define lingo-base() $:/language/EditTemplate/\n\n\\define tag-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-body-inner(colour,fallbackTarget,colourA,colourB,icon)\n\\whitespace trim\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<span style=<<tag-styles>> class=\"tc-tag-label tc-tag-list-item\">\n<$transclude tiddler=\"\"\"$icon$\"\"\"/><$view field=\"title\" format=\"text\" />\n<$button message=\"tm-remove-tag\" param={{!!title}} class=\"tc-btn-invisible tc-remove-tag-button\">{{$:/core/images/close-button}}</$button>\n</span>\n</$vars>\n\\end\n\n\\define tag-body(colour,palette,icon)\n<$macrocall $name=\"tag-body-inner\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} icon=\"\"\"$icon$\"\"\"/>\n\\end\n\n<div class=\"tc-edit-tags\">\n<$fieldmangler>\n<$list filter=\"[all[current]tags[]sort[title]]\" storyview=\"pop\">\n<$macrocall $name=\"tag-body\" colour={{!!color}} palette={{$:/palette}} icon={{!!icon}}/>\n</$list>\n<$set name=\"tabIndex\" value={{$:/config/EditTabIndex}}>\n<$macrocall $name=\"tag-picker\"/>\n</$set>\n</$fieldmangler>\n</div>\n"
        },
        "$:/core/ui/EditTemplate/title": {
            "title": "$:/core/ui/EditTemplate/title",
            "tags": "$:/tags/EditTemplate",
            "text": "<$edit-text field=\"draft.title\" class=\"tc-titlebar tc-edit-texteditor\" focus={{{ [{$:/config/AutoFocus}match[title]then[true]] ~[[false]] }}} tabindex={{$:/config/EditTabIndex}}/>\n\n<$vars pattern=\"\"\"[\\|\\[\\]{}]\"\"\" bad-chars=\"\"\"`| [ ] { }`\"\"\">\n\n<$list filter=\"[all[current]regexp:draft.title<pattern>]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/BadCharacterWarning}}\n\n</div>\n\n</$list>\n\n</$vars>\n\n<$reveal state=\"!!draft.title\" type=\"nomatch\" text={{!!draft.of}} tag=\"div\">\n\n<$list filter=\"[{!!draft.title}!is[missing]]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/Exists/Prompt}}\n\n</div>\n\n</$list>\n\n<$list filter=\"[{!!draft.of}!is[missing]]\" variable=\"listItem\">\n\n<$vars fromTitle={{!!draft.of}} toTitle={{!!draft.title}}>\n\n<$checkbox tiddler=\"$:/config/RelinkOnRename\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> {{$:/language/EditTemplate/Title/Relink/Prompt}}</$checkbox>\n\n<$list filter=\"[title<fromTitle>backlinks[]limit[1]]\" variable=\"listItem\">\n\n<$vars stateTiddler=<<qualify \"$:/state/edit/references\">> >\n\n<$reveal type=\"nomatch\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"show\" class=\"tc-btn-invisible\">{{$:/core/images/right-arrow}} \n<<lingo EditTemplate/Title/References/Prompt>></$button>\n</$reveal>\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"hide\" class=\"tc-btn-invisible\">{{$:/core/images/down-arrow}} \n<<lingo EditTemplate/Title/References/Prompt>></$button>\n</$reveal>\n\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$tiddler tiddler=<<fromTitle>> >\n<$transclude tiddler=\"$:/core/ui/TiddlerInfo/References\"/>\n</$tiddler>\n</$reveal>\n\n</$vars>\n\n</$list>\n\n</$vars>\n\n</$list>\n\n</$reveal>\n"
        },
        "$:/core/ui/EditTemplate/type": {
            "title": "$:/core/ui/EditTemplate/type",
            "tags": "$:/tags/EditTemplate",
            "text": "\\define lingo-base() $:/language/EditTemplate/\n\\whitespace trim\n<div class=\"tc-type-selector\"><$fieldmangler>\n<em class=\"tc-edit\"><<lingo Type/Prompt>></em>&nbsp;&nbsp;<$edit-text field=\"type\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Type/Placeholder}} focusPopup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-edit-typeeditor tc-edit-texteditor tc-popup-handle\" tabindex={{$:/config/EditTabIndex}} focus={{{ [{$:/config/AutoFocus}match[type]then[true]] ~[[false]] }}}/>&nbsp;<$button popup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Type/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Type/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button>&nbsp;<$button message=\"tm-remove-field\" param=\"type\" class=\"tc-btn-invisible tc-btn-icon\" tooltip={{$:/language/EditTemplate/Type/Delete/Hint}} aria-label={{$:/language/EditTemplate/Type/Delete/Caption}}>{{$:/core/images/delete-button}}</$button>\n</$fieldmangler></div>\n\n<div class=\"tc-block-dropdown-wrapper\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$reveal state=<<qualify \"$:/state/popup/type-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$linkcatcher to=\"!!type\">\n<$list filter='[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]each[group]sort[group-sort]]'>\n<div class=\"tc-dropdown-item\">\n<$text text={{!!group}}/>\n</div>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]group{!!group}] +[sort[description]]\"><$link to={{!!name}}><$view field=\"description\"/> (<$view field=\"name\"/>)</$link>\n</$list>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n</$set>\n</div>\n"
        },
        "$:/core/ui/EditTemplate": {
            "title": "$:/core/ui/EditTemplate",
            "text": "\\define save-tiddler-actions()\n<$action-sendmessage $message=\"tm-add-tag\" $param={{{ [<newTagNameTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newTagNameTiddler>>/>\n<$action-sendmessage $message=\"tm-add-field\" $name={{{ [<newFieldNameTiddler>get[text]] }}} $value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newFieldNameTiddler>>/>\n<$action-deletetiddler $tiddler=<<newFieldValueTiddler>>/>\n<$action-sendmessage $message=\"tm-save-tiddler\"/>\n\\end\n<div data-tiddler-title=<<currentTiddler>> data-tags={{!!tags}} class={{{ tc-tiddler-frame tc-tiddler-edit-frame [<currentTiddler>is[tiddler]then[tc-tiddler-exists]] [<currentTiddler>is[missing]!is[shadow]then[tc-tiddler-missing]] [<currentTiddler>is[shadow]then[tc-tiddler-exists tc-tiddler-shadow]] [<currentTiddler>is[system]then[tc-tiddler-system]] [{!!class}] [<currentTiddler>tags[]encodeuricomponent[]addprefix[tc-tagged-]] +[join[ ]] }}}>\n<$fieldmangler>\n<$vars storyTiddler=<<currentTiddler>> newTagNameTiddler=<<qualify \"$:/temp/NewTagName\">> newFieldNameTiddler=<<qualify \"$:/temp/NewFieldName\">> newFieldValueTiddler=<<qualify \"$:/temp/NewFieldValue\">>>\n<$keyboard key=\"((cancel-edit-tiddler))\" message=\"tm-cancel-tiddler\">\n<$keyboard key=\"((save-tiddler))\" actions=<<save-tiddler-actions>>>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditTemplate]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>>/>\n</$set>\n</$list>\n</$keyboard>\n</$keyboard>\n</$vars>\n</$fieldmangler>\n</div>\n"
        },
        "$:/core/ui/Buttons/cancel": {
            "title": "$:/core/ui/Buttons/cancel",
            "tags": "$:/tags/EditToolbar",
            "caption": "{{$:/core/images/cancel-button}} {{$:/language/Buttons/Cancel/Caption}}",
            "description": "{{$:/language/Buttons/Cancel/Hint}}",
            "text": "<$button message=\"tm-cancel-tiddler\" tooltip={{$:/language/Buttons/Cancel/Hint}} aria-label={{$:/language/Buttons/Cancel/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/cancel-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Cancel/Caption}}/></span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/delete": {
            "title": "$:/core/ui/Buttons/delete",
            "tags": "$:/tags/EditToolbar $:/tags/ViewToolbar",
            "caption": "{{$:/core/images/delete-button}} {{$:/language/Buttons/Delete/Caption}}",
            "description": "{{$:/language/Buttons/Delete/Hint}}",
            "text": "<$button message=\"tm-delete-tiddler\" tooltip={{$:/language/Buttons/Delete/Hint}} aria-label={{$:/language/Buttons/Delete/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/delete-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Delete/Caption}}/></span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/save": {
            "title": "$:/core/ui/Buttons/save",
            "tags": "$:/tags/EditToolbar",
            "caption": "{{$:/core/images/done-button}} {{$:/language/Buttons/Save/Caption}}",
            "description": "{{$:/language/Buttons/Save/Hint}}",
            "text": "\\define save-tiddler-button()\n<$fieldmangler><$button tooltip={{$:/language/Buttons/Save/Hint}} aria-label={{$:/language/Buttons/Save/Caption}} class=<<tv-config-toolbar-class>>>\n<<save-tiddler-actions>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/done-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Save/Caption}}/></span>\n</$list>\n</$button></$fieldmangler>\n\\end\n<<save-tiddler-button>>\n"
        },
        "$:/core/ui/EditorToolbar/bold": {
            "title": "$:/core/ui/EditorToolbar/bold",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/bold",
            "caption": "{{$:/language/Buttons/Bold/Caption}}",
            "description": "{{$:/language/Buttons/Bold/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((bold))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"''\"\n\tsuffix=\"''\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/clear-dropdown": {
            "title": "$:/core/ui/EditorToolbar/clear-dropdown",
            "text": "''{{$:/language/Buttons/Clear/Hint}}''\n\n<div class=\"tc-colour-chooser\">\n\n<$macrocall $name=\"colour-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"clear\"\n\tcolour=<<colour-picker-value>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n\n</div>\n"
        },
        "$:/core/ui/EditorToolbar/clear": {
            "title": "$:/core/ui/EditorToolbar/clear",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/erase",
            "caption": "{{$:/language/Buttons/Clear/Caption}}",
            "description": "{{$:/language/Buttons/Clear/Hint}}",
            "condition": "[<targetTiddler>is[image]]",
            "dropdown": "$:/core/ui/EditorToolbar/clear-dropdown",
            "text": ""
        },
        "$:/core/ui/EditorToolbar/editor-height-dropdown": {
            "title": "$:/core/ui/EditorToolbar/editor-height-dropdown",
            "text": "\\define lingo-base() $:/language/Buttons/EditorHeight/\n''<<lingo Hint>>''\n\n<$radio tiddler=\"$:/config/TextEditor/EditorHeight/Mode\" value=\"auto\"> {{$:/core/images/auto-height}} <<lingo Caption/Auto>></$radio>\n\n<$radio tiddler=\"$:/config/TextEditor/EditorHeight/Mode\" value=\"fixed\"> {{$:/core/images/fixed-height}} <<lingo Caption/Fixed>> <$edit-text tag=\"input\" tiddler=\"$:/config/TextEditor/EditorHeight/Height\" default=\"100px\"/></$radio>\n"
        },
        "$:/core/ui/EditorToolbar/editor-height": {
            "title": "$:/core/ui/EditorToolbar/editor-height",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/fixed-height",
            "custom-icon": "yes",
            "caption": "{{$:/language/Buttons/EditorHeight/Caption}}",
            "description": "{{$:/language/Buttons/EditorHeight/Hint}}",
            "condition": "[<targetTiddler>type[]] [<targetTiddler>get[type]prefix[text/]] +[first[]]",
            "dropdown": "$:/core/ui/EditorToolbar/editor-height-dropdown",
            "text": "<$reveal tag=\"span\" state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"fixed\">\n{{$:/core/images/fixed-height}}\n</$reveal>\n<$reveal tag=\"span\" state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"auto\">\n{{$:/core/images/auto-height}}\n</$reveal>\n"
        },
        "$:/core/ui/EditorToolbar/excise-dropdown": {
            "title": "$:/core/ui/EditorToolbar/excise-dropdown",
            "text": "\\define lingo-base() $:/language/Buttons/Excise/\n\n\\define body(config-title)\n''<<lingo Hint>>''\n\n<<lingo Caption/NewTitle>> <$edit-text tag=\"input\" tiddler=\"$config-title$/new-title\" default=\"\" focus=\"true\"/>\n\n<$set name=\"new-title\" value={{$config-title$/new-title}}>\n<$list filter=\"\"\"[<new-title>is[tiddler]]\"\"\">\n<div class=\"tc-error\">\n<<lingo Caption/TiddlerExists>>\n</div>\n</$list>\n</$set>\n\n<$checkbox tiddler=\"\"\"$config-title$/tagnew\"\"\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"false\"> <<lingo Caption/Tag>></$checkbox>\n\n<<lingo Caption/Replace>> <$select tiddler=\"\"\"$config-title$/type\"\"\" default=\"transclude\">\n<option value=\"link\"><<lingo Caption/Replace/Link>></option>\n<option value=\"transclude\"><<lingo Caption/Replace/Transclusion>></option>\n<option value=\"macro\"><<lingo Caption/Replace/Macro>></option>\n</$select>\n\n<$reveal state=\"\"\"$config-title$/type\"\"\" type=\"match\" text=\"macro\">\n<<lingo Caption/MacroName>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/macro-title\"\"\" default=\"translink\"/>\n</$reveal>\n\n<$button>\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"excise\"\n\ttitle={{$config-title$/new-title}}\n\ttype={{$config-title$/type}}\n\tmacro={{$config-title$/macro-title}}\n\ttagnew={{$config-title$/tagnew}}\n/>\n<$action-deletetiddler\n\t$tiddler=\"$config-title$/new-title\"\n/>\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n<<lingo Caption/Excise>>\n</$button>\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Excise/\">>/>\n"
        },
        "$:/core/ui/EditorToolbar/excise": {
            "title": "$:/core/ui/EditorToolbar/excise",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/excise",
            "caption": "{{$:/language/Buttons/Excise/Caption}}",
            "description": "{{$:/language/Buttons/Excise/Hint}}",
            "condition": "[<targetTiddler>type[]] [<targetTiddler>type[text/vnd.tiddlywiki]] +[first[]]",
            "shortcuts": "((excise))",
            "dropdown": "$:/core/ui/EditorToolbar/excise-dropdown",
            "text": ""
        },
        "$:/core/ui/EditorToolbar/heading-1": {
            "title": "$:/core/ui/EditorToolbar/heading-1",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-1",
            "caption": "{{$:/language/Buttons/Heading1/Caption}}",
            "description": "{{$:/language/Buttons/Heading1/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "button-classes": "tc-text-editor-toolbar-item-start-group",
            "shortcuts": "((heading-1))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"1\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/heading-2": {
            "title": "$:/core/ui/EditorToolbar/heading-2",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-2",
            "caption": "{{$:/language/Buttons/Heading2/Caption}}",
            "description": "{{$:/language/Buttons/Heading2/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((heading-2))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"2\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/heading-3": {
            "title": "$:/core/ui/EditorToolbar/heading-3",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-3",
            "caption": "{{$:/language/Buttons/Heading3/Caption}}",
            "description": "{{$:/language/Buttons/Heading3/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((heading-3))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"3\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/heading-4": {
            "title": "$:/core/ui/EditorToolbar/heading-4",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-4",
            "caption": "{{$:/language/Buttons/Heading4/Caption}}",
            "description": "{{$:/language/Buttons/Heading4/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((heading-4))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"4\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/heading-5": {
            "title": "$:/core/ui/EditorToolbar/heading-5",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-5",
            "caption": "{{$:/language/Buttons/Heading5/Caption}}",
            "description": "{{$:/language/Buttons/Heading5/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((heading-5))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"5\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/heading-6": {
            "title": "$:/core/ui/EditorToolbar/heading-6",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-6",
            "caption": "{{$:/language/Buttons/Heading6/Caption}}",
            "description": "{{$:/language/Buttons/Heading6/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((heading-6))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"6\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/italic": {
            "title": "$:/core/ui/EditorToolbar/italic",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/italic",
            "caption": "{{$:/language/Buttons/Italic/Caption}}",
            "description": "{{$:/language/Buttons/Italic/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((italic))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"//\"\n\tsuffix=\"//\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/line-width-dropdown": {
            "title": "$:/core/ui/EditorToolbar/line-width-dropdown",
            "text": "\\define lingo-base() $:/language/Buttons/LineWidth/\n\n\\define toolbar-line-width-inner()\n<$button tag=\"a\" tooltip=\"\"\"$(line-width)$\"\"\">\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/LineWidth\"\n\t$value=\"$(line-width)$\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<div style=\"display: inline-block; margin: 4px calc(80px - $(line-width)$); background-color: #000; width: calc(100px + $(line-width)$ * 2); height: $(line-width)$; border-radius: 120px; vertical-align: middle;\"/>\n\n<span style=\"margin-left: 8px;\">\n\n<$text text=\"\"\"$(line-width)$\"\"\"/>\n\n<$reveal state=\"$:/config/BitmapEditor/LineWidth\" type=\"match\" text=\"\"\"$(line-width)$\"\"\" tag=\"span\">\n\n<$entity entity=\"&nbsp;\"/>\n\n<$entity entity=\"&#x2713;\"/>\n\n</$reveal>\n\n</span>\n\n</$button>\n\\end\n\n''<<lingo Hint>>''\n\n<$list filter={{$:/config/BitmapEditor/LineWidths}} variable=\"line-width\">\n\n<<toolbar-line-width-inner>>\n\n</$list>\n"
        },
        "$:/core/ui/EditorToolbar/line-width": {
            "title": "$:/core/ui/EditorToolbar/line-width",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/line-width",
            "caption": "{{$:/language/Buttons/LineWidth/Caption}}",
            "description": "{{$:/language/Buttons/LineWidth/Hint}}",
            "condition": "[<targetTiddler>is[image]]",
            "dropdown": "$:/core/ui/EditorToolbar/line-width-dropdown",
            "text": "<$text text={{$:/config/BitmapEditor/LineWidth}}/>"
        },
        "$:/core/ui/EditorToolbar/link-dropdown": {
            "title": "$:/core/ui/EditorToolbar/link-dropdown",
            "text": "\\define lingo-base() $:/language/Buttons/Link/\n\n\\define add-link-actions()\n<$action-sendmessage $message=\"tm-edit-text-operation\" $param=\"make-link\" text={{$(linkTiddler)$}} />\n<$action-deletetiddler $tiddler=<<dropdown-state>> />\n<$action-deletetiddler $tiddler=<<searchTiddler>> />\n<$action-deletetiddler $tiddler=<<linkTiddler>> />\n\\end\n\n\\define external-link()\n<$button class=\"tc-btn-invisible\" style=\"width: auto; display: inline-block; background-colour: inherit;\" actions=<<add-link-actions>>>\n{{$:/core/images/chevron-right}}\n</$button>\n\\end\n\n\\define body(config-title)\n''<<lingo Hint>>''\n\n<$vars searchTiddler=\"\"\"$config-title$/search\"\"\" linkTiddler=\"\"\"$config-title$/link\"\"\" linktext=\"\" >\n\n<$vars linkTiddler=<<searchTiddler>>>\n<$keyboard key=\"ENTER\" actions=<<add-link-actions>>>\n<$edit-text tiddler=<<searchTiddler>> type=\"search\" tag=\"input\" focus=\"true\" placeholder={{$:/language/Search/Search}} default=\"\"/>\n<$reveal tag=\"span\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n<<external-link>>\n<$button class=\"tc-btn-invisible\" style=\"width: auto; display: inline-block; background-colour: inherit;\">\n<$action-setfield $tiddler=<<searchTiddler>> text=\"\" />\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</$keyboard>\n</$vars>\n\n<$reveal tag=\"div\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n\n<$linkcatcher actions=<<add-link-actions>> to=<<linkTiddler>>>\n\n{{$:/core/ui/SearchResults}}\n\n</$linkcatcher>\n\n</$reveal>\n\n</$vars>\n\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Link/\">>/>"
        },
        "$:/core/ui/EditorToolbar/link": {
            "title": "$:/core/ui/EditorToolbar/link",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/link",
            "caption": "{{$:/language/Buttons/Link/Caption}}",
            "description": "{{$:/language/Buttons/Link/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "button-classes": "tc-text-editor-toolbar-item-start-group",
            "shortcuts": "((link))",
            "dropdown": "$:/core/ui/EditorToolbar/link-dropdown",
            "text": ""
        },
        "$:/core/ui/EditorToolbar/linkify": {
            "title": "$:/core/ui/EditorToolbar/linkify",
            "caption": "{{$:/language/Buttons/Linkify/Caption}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "description": "{{$:/language/Buttons/Linkify/Hint}}",
            "icon": "$:/core/images/linkify",
            "list-before": "$:/core/ui/EditorToolbar/mono-block",
            "shortcuts": "((linkify))",
            "tags": "$:/tags/EditorToolbar",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"[[\"\n\tsuffix=\"]]\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/list-bullet": {
            "title": "$:/core/ui/EditorToolbar/list-bullet",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/list-bullet",
            "caption": "{{$:/language/Buttons/ListBullet/Caption}}",
            "description": "{{$:/language/Buttons/ListBullet/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((list-bullet))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"*\"\n\tcount=\"1\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/list-number": {
            "title": "$:/core/ui/EditorToolbar/list-number",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/list-number",
            "caption": "{{$:/language/Buttons/ListNumber/Caption}}",
            "description": "{{$:/language/Buttons/ListNumber/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((list-number))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"1\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/mono-block": {
            "title": "$:/core/ui/EditorToolbar/mono-block",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/mono-block",
            "caption": "{{$:/language/Buttons/MonoBlock/Caption}}",
            "description": "{{$:/language/Buttons/MonoBlock/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "button-classes": "tc-text-editor-toolbar-item-start-group",
            "shortcuts": "((mono-block))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n```\"\n\tsuffix=\"```\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/mono-line": {
            "title": "$:/core/ui/EditorToolbar/mono-line",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/mono-line",
            "caption": "{{$:/language/Buttons/MonoLine/Caption}}",
            "description": "{{$:/language/Buttons/MonoLine/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((mono-line))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"`\"\n\tsuffix=\"`\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/more-dropdown": {
            "title": "$:/core/ui/EditorToolbar/more-dropdown",
            "text": "\\define config-title()\n$:/config/EditorToolbarButtons/Visibility/$(toolbarItem)$\n\\end\n\n\\define conditional-button()\n<$list filter={{$(toolbarItem)$!!condition}} variable=\"condition\">\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/toolbar/button\" mode=\"inline\"/> <$transclude tiddler=<<toolbarItem>> field=\"description\"/>\n</$list>\n\\end\n\n<div class=\"tc-text-editor-toolbar-more\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorToolbar]!has[draft.of]] -[[$:/core/ui/EditorToolbar/more]]\">\n<$reveal type=\"match\" state=<<config-visibility-title>> text=\"hide\" tag=\"div\">\n<<conditional-button>>\n</$reveal>\n</$list>\n</div>\n"
        },
        "$:/core/ui/EditorToolbar/more": {
            "title": "$:/core/ui/EditorToolbar/more",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/down-arrow",
            "caption": "{{$:/language/Buttons/More/Caption}}",
            "description": "{{$:/language/Buttons/More/Hint}}",
            "condition": "[<targetTiddler>]",
            "dropdown": "$:/core/ui/EditorToolbar/more-dropdown",
            "text": ""
        },
        "$:/core/ui/EditorToolbar/opacity-dropdown": {
            "title": "$:/core/ui/EditorToolbar/opacity-dropdown",
            "text": "\\define lingo-base() $:/language/Buttons/Opacity/\n\n\\define toolbar-opacity-inner()\n<$button tag=\"a\" tooltip=\"\"\"$(opacity)$\"\"\">\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/Opacity\"\n\t$value=\"$(opacity)$\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<div style=\"display: inline-block; vertical-align: middle; background-color: $(current-paint-colour)$; opacity: $(opacity)$; width: 1em; height: 1em; border-radius: 50%;\"/>\n\n<span style=\"margin-left: 8px;\">\n\n<$text text=\"\"\"$(opacity)$\"\"\"/>\n\n<$reveal state=\"$:/config/BitmapEditor/Opacity\" type=\"match\" text=\"\"\"$(opacity)$\"\"\" tag=\"span\">\n\n<$entity entity=\"&nbsp;\"/>\n\n<$entity entity=\"&#x2713;\"/>\n\n</$reveal>\n\n</span>\n\n</$button>\n\\end\n\n\\define toolbar-opacity()\n''<<lingo Hint>>''\n\n<$list filter={{$:/config/BitmapEditor/Opacities}} variable=\"opacity\">\n\n<<toolbar-opacity-inner>>\n\n</$list>\n\\end\n\n<$set name=\"current-paint-colour\" value={{$:/config/BitmapEditor/Colour}}>\n\n<$set name=\"current-opacity\" value={{$:/config/BitmapEditor/Opacity}}>\n\n<<toolbar-opacity>>\n\n</$set>\n\n</$set>\n"
        },
        "$:/core/ui/EditorToolbar/opacity": {
            "title": "$:/core/ui/EditorToolbar/opacity",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/opacity",
            "caption": "{{$:/language/Buttons/Opacity/Caption}}",
            "description": "{{$:/language/Buttons/Opacity/Hint}}",
            "condition": "[<targetTiddler>is[image]]",
            "dropdown": "$:/core/ui/EditorToolbar/opacity-dropdown",
            "text": "<$text text={{$:/config/BitmapEditor/Opacity}}/>\n"
        },
        "$:/core/ui/EditorToolbar/paint-dropdown": {
            "title": "$:/core/ui/EditorToolbar/paint-dropdown",
            "text": "''{{$:/language/Buttons/Paint/Hint}}''\n\n<$macrocall $name=\"colour-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/Colour\"\n\t$value=<<colour-picker-value>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"
        },
        "$:/core/ui/EditorToolbar/paint": {
            "title": "$:/core/ui/EditorToolbar/paint",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/paint",
            "caption": "{{$:/language/Buttons/Paint/Caption}}",
            "description": "{{$:/language/Buttons/Paint/Hint}}",
            "condition": "[<targetTiddler>is[image]]",
            "dropdown": "$:/core/ui/EditorToolbar/paint-dropdown",
            "text": "\\define toolbar-paint()\n<div style=\"display: inline-block; vertical-align: middle; background-color: $(colour-picker-value)$; width: 1em; height: 1em; border-radius: 50%;\"/>\n\\end\n<$set name=\"colour-picker-value\" value={{$:/config/BitmapEditor/Colour}}>\n<<toolbar-paint>>\n</$set>\n"
        },
        "$:/core/ui/EditorToolbar/picture-dropdown": {
            "title": "$:/core/ui/EditorToolbar/picture-dropdown",
            "text": "\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n''{{$:/language/Buttons/Picture/Hint}}''\n\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext=<<replacement-text>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"
        },
        "$:/core/ui/EditorToolbar/picture": {
            "title": "$:/core/ui/EditorToolbar/picture",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/picture",
            "caption": "{{$:/language/Buttons/Picture/Caption}}",
            "description": "{{$:/language/Buttons/Picture/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((picture))",
            "dropdown": "$:/core/ui/EditorToolbar/picture-dropdown",
            "text": ""
        },
        "$:/core/ui/EditorToolbar/preview-type-dropdown": {
            "title": "$:/core/ui/EditorToolbar/preview-type-dropdown",
            "text": "\\define preview-type-button()\n<$button tag=\"a\">\n\n<$action-setfield $tiddler=\"$:/state/editpreviewtype\" $value=\"$(previewType)$\"/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$transclude tiddler=<<previewType>> field=\"caption\" mode=\"inline\">\n\n<$view tiddler=<<previewType>> field=\"title\" mode=\"inline\"/>\n\n</$transclude> \n\n<$reveal tag=\"span\" state=\"$:/state/editpreviewtype\" type=\"match\" text=<<previewType>> default=\"$:/core/ui/EditTemplate/body/preview/output\">\n\n<$entity entity=\"&nbsp;\"/>\n\n<$entity entity=\"&#x2713;\"/>\n\n</$reveal>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditPreview]!has[draft.of]]\" variable=\"previewType\">\n\n<<preview-type-button>>\n\n</$list>\n"
        },
        "$:/core/ui/EditorToolbar/preview-type": {
            "title": "$:/core/ui/EditorToolbar/preview-type",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/chevron-down",
            "caption": "{{$:/language/Buttons/PreviewType/Caption}}",
            "description": "{{$:/language/Buttons/PreviewType/Hint}}",
            "condition": "[all[shadows+tiddlers]tag[$:/tags/EditPreview]!has[draft.of]butfirst[]limit[1]]",
            "button-classes": "tc-text-editor-toolbar-item-adjunct",
            "dropdown": "$:/core/ui/EditorToolbar/preview-type-dropdown"
        },
        "$:/core/ui/EditorToolbar/preview": {
            "title": "$:/core/ui/EditorToolbar/preview",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/preview-open",
            "custom-icon": "yes",
            "caption": "{{$:/language/Buttons/Preview/Caption}}",
            "description": "{{$:/language/Buttons/Preview/Hint}}",
            "condition": "[<targetTiddler>]",
            "button-classes": "tc-text-editor-toolbar-item-start-group",
            "shortcuts": "((preview))",
            "text": "<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"yes\" tag=\"span\">\n{{$:/core/images/preview-open}}\n<$action-setfield $tiddler=\"$:/state/showeditpreview\" $value=\"no\"/>\n</$reveal>\n<$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"yes\" tag=\"span\">\n{{$:/core/images/preview-closed}}\n<$action-setfield $tiddler=\"$:/state/showeditpreview\" $value=\"yes\"/>\n</$reveal>\n"
        },
        "$:/core/ui/EditorToolbar/quote": {
            "title": "$:/core/ui/EditorToolbar/quote",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/quote",
            "caption": "{{$:/language/Buttons/Quote/Caption}}",
            "description": "{{$:/language/Buttons/Quote/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((quote))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n<<<\"\n\tsuffix=\"<<<\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/rotate-left": {
            "title": "$:/core/ui/EditorToolbar/rotate-left",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/rotate-left",
            "caption": "{{$:/language/Buttons/RotateLeft/Caption}}",
            "description": "{{$:/language/Buttons/RotateLeft/Hint}}",
            "condition": "[<targetTiddler>is[image]]",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"rotate-left\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/size-dropdown": {
            "title": "$:/core/ui/EditorToolbar/size-dropdown",
            "text": "\\define lingo-base() $:/language/Buttons/Size/\n\n\\define toolbar-button-size-preset(config-title)\n<$set name=\"width\" filter=\"$(sizePair)$ +[first[]]\">\n\n<$set name=\"height\" filter=\"$(sizePair)$ +[last[]]\">\n\n<$button tag=\"a\">\n\n<$action-setfield\n\t$tiddler=\"\"\"$config-title$/new-width\"\"\"\n\t$value=<<width>>\n/>\n\n<$action-setfield\n\t$tiddler=\"\"\"$config-title$/new-height\"\"\"\n\t$value=<<height>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/presets-popup\"\"\"\n/>\n\n<$text text=<<width>>/> &times; <$text text=<<height>>/>\n\n</$button>\n\n</$set>\n\n</$set>\n\\end\n\n\\define toolbar-button-size(config-title)\n''{{$:/language/Buttons/Size/Hint}}''\n\n<<lingo Caption/Width>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/new-width\"\"\" default=<<tv-bitmap-editor-width>> focus=\"true\" size=\"8\"/> <<lingo Caption/Height>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/new-height\"\"\" default=<<tv-bitmap-editor-height>> size=\"8\"/> <$button popup=\"\"\"$config-title$/presets-popup\"\"\" class=\"tc-btn-invisible tc-popup-keep\" style=\"width: auto; display: inline-block; background-colour: inherit;\" selectedClass=\"tc-selected\">\n{{$:/core/images/down-arrow}}\n</$button>\n\n<$reveal tag=\"span\" state=\"\"\"$config-title$/presets-popup\"\"\" type=\"popup\" position=\"belowleft\" animate=\"yes\">\n\n<div class=\"tc-drop-down tc-popup-keep\">\n\n<$list filter={{$:/config/BitmapEditor/ImageSizes}} variable=\"sizePair\">\n\n<$macrocall $name=\"toolbar-button-size-preset\" config-title=\"$config-title$\"/>\n\n</$list>\n\n</div>\n\n</$reveal>\n\n<$button>\n<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"resize\"\n\twidth={{$config-title$/new-width}}\n\theight={{$config-title$/new-height}}\n/>\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/new-width\"\"\"\n/>\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/new-height\"\"\"\n/>\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n<<lingo Caption/Resize>>\n</$button>\n\\end\n\n<$macrocall $name=\"toolbar-button-size\" config-title=<<qualify \"$:/state/Size/\">>/>\n"
        },
        "$:/core/ui/EditorToolbar/size": {
            "title": "$:/core/ui/EditorToolbar/size",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/size",
            "caption": "{{$:/language/Buttons/Size/Caption}}",
            "description": "{{$:/language/Buttons/Size/Hint}}",
            "condition": "[<targetTiddler>is[image]]",
            "dropdown": "$:/core/ui/EditorToolbar/size-dropdown",
            "text": ""
        },
        "$:/core/ui/EditorToolbar/stamp-dropdown": {
            "title": "$:/core/ui/EditorToolbar/stamp-dropdown",
            "text": "\\define toolbar-button-stamp-inner()\n<$button tag=\"a\">\n\n<$list filter=\"[[$(snippetTitle)$]addsuffix[/prefix]is[missing]removesuffix[/prefix]addsuffix[/suffix]is[missing]]\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext={{$(snippetTitle)$}}\n/>\n\n</$list>\n\n\n<$list filter=\"[[$(snippetTitle)$]addsuffix[/prefix]is[missing]removesuffix[/prefix]addsuffix[/suffix]!is[missing]] [[$(snippetTitle)$]addsuffix[/prefix]!is[missing]removesuffix[/prefix]addsuffix[/suffix]is[missing]] [[$(snippetTitle)$]addsuffix[/prefix]!is[missing]removesuffix[/prefix]addsuffix[/suffix]!is[missing]]\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix={{{ [[$(snippetTitle)$]addsuffix[/prefix]get[text]] }}}\nsuffix={{{ [[$(snippetTitle)$]addsuffix[/suffix]get[text]] }}}\n/>\n\n</$list>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$transclude tiddler=<<snippetTitle>> field=\"caption\" mode=\"inline\">\n\n<$view tiddler=<<snippetTitle>> field=\"title\" />\n\n</$transclude>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TextEditor/Snippet]!has[draft.of]sort[caption]]\" variable=\"snippetTitle\">\n\n<<toolbar-button-stamp-inner>>\n\n</$list>\n\n----\n\n<$button tag=\"a\">\n\n<$action-sendmessage\n\t$message=\"tm-new-tiddler\"\n\ttags=\"$:/tags/TextEditor/Snippet\"\n\tcaption={{$:/language/Buttons/Stamp/New/Title}}\n\ttext={{$:/language/Buttons/Stamp/New/Text}}\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<em>\n\n<$text text={{$:/language/Buttons/Stamp/Caption/New}}/>\n\n</em>\n\n</$button>\n"
        },
        "$:/core/ui/EditorToolbar/stamp": {
            "title": "$:/core/ui/EditorToolbar/stamp",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/stamp",
            "caption": "{{$:/language/Buttons/Stamp/Caption}}",
            "description": "{{$:/language/Buttons/Stamp/Hint}}",
            "condition": "[<targetTiddler>type[]] [<targetTiddler>get[type]prefix[text/]] +[first[]]",
            "shortcuts": "((stamp))",
            "dropdown": "$:/core/ui/EditorToolbar/stamp-dropdown",
            "text": ""
        },
        "$:/core/ui/EditorToolbar/strikethrough": {
            "title": "$:/core/ui/EditorToolbar/strikethrough",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/strikethrough",
            "caption": "{{$:/language/Buttons/Strikethrough/Caption}}",
            "description": "{{$:/language/Buttons/Strikethrough/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((strikethrough))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"~~\"\n\tsuffix=\"~~\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/subscript": {
            "title": "$:/core/ui/EditorToolbar/subscript",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/subscript",
            "caption": "{{$:/language/Buttons/Subscript/Caption}}",
            "description": "{{$:/language/Buttons/Subscript/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((subscript))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\",,\"\n\tsuffix=\",,\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/superscript": {
            "title": "$:/core/ui/EditorToolbar/superscript",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/superscript",
            "caption": "{{$:/language/Buttons/Superscript/Caption}}",
            "description": "{{$:/language/Buttons/Superscript/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((superscript))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"^^\"\n\tsuffix=\"^^\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/transcludify": {
            "title": "$:/core/ui/EditorToolbar/transcludify",
            "caption": "{{$:/language/Buttons/Transcludify/Caption}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "description": "{{$:/language/Buttons/Transcludify/Hint}}",
            "icon": "$:/core/images/transcludify",
            "list-before": "$:/core/ui/EditorToolbar/mono-block",
            "shortcuts": "((transcludify))",
            "tags": "$:/tags/EditorToolbar",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"{{\"\n\tsuffix=\"}}\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/underline": {
            "title": "$:/core/ui/EditorToolbar/underline",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/underline",
            "caption": "{{$:/language/Buttons/Underline/Caption}}",
            "description": "{{$:/language/Buttons/Underline/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((underline))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"__\"\n\tsuffix=\"__\"\n/>\n"
        },
        "$:/core/Filters/AllTags": {
            "title": "$:/core/Filters/AllTags",
            "tags": "$:/tags/Filter",
            "filter": "[tags[]!is[system]sort[title]]",
            "description": "{{$:/language/Filters/AllTags}}",
            "text": ""
        },
        "$:/core/Filters/AllTiddlers": {
            "title": "$:/core/Filters/AllTiddlers",
            "tags": "$:/tags/Filter",
            "filter": "[!is[system]sort[title]]",
            "description": "{{$:/language/Filters/AllTiddlers}}",
            "text": ""
        },
        "$:/core/Filters/Drafts": {
            "title": "$:/core/Filters/Drafts",
            "tags": "$:/tags/Filter",
            "filter": "[has[draft.of]sort[title]]",
            "description": "{{$:/language/Filters/Drafts}}",
            "text": ""
        },
        "$:/core/Filters/Missing": {
            "title": "$:/core/Filters/Missing",
            "tags": "$:/tags/Filter",
            "filter": "[all[missing]sort[title]]",
            "description": "{{$:/language/Filters/Missing}}",
            "text": ""
        },
        "$:/core/Filters/Orphans": {
            "title": "$:/core/Filters/Orphans",
            "tags": "$:/tags/Filter",
            "filter": "[all[orphans]sort[title]]",
            "description": "{{$:/language/Filters/Orphans}}",
            "text": ""
        },
        "$:/core/Filters/OverriddenShadowTiddlers": {
            "title": "$:/core/Filters/OverriddenShadowTiddlers",
            "tags": "$:/tags/Filter",
            "filter": "[is[shadow]]",
            "description": "{{$:/language/Filters/OverriddenShadowTiddlers}}",
            "text": ""
        },
        "$:/core/Filters/RecentSystemTiddlers": {
            "title": "$:/core/Filters/RecentSystemTiddlers",
            "tags": "$:/tags/Filter",
            "filter": "[has[modified]!sort[modified]limit[50]]",
            "description": "{{$:/language/Filters/RecentSystemTiddlers}}",
            "text": ""
        },
        "$:/core/Filters/RecentTiddlers": {
            "title": "$:/core/Filters/RecentTiddlers",
            "tags": "$:/tags/Filter",
            "filter": "[!is[system]has[modified]!sort[modified]limit[50]]",
            "description": "{{$:/language/Filters/RecentTiddlers}}",
            "text": ""
        },
        "$:/core/Filters/SessionTiddlers": {
            "title": "$:/core/Filters/SessionTiddlers",
            "tags": "$:/tags/Filter",
            "filter": "[haschanged[]]",
            "description": "{{$:/language/Filters/SessionTiddlers}}",
            "text": ""
        },
        "$:/core/Filters/ShadowTiddlers": {
            "title": "$:/core/Filters/ShadowTiddlers",
            "tags": "$:/tags/Filter",
            "filter": "[all[shadows]sort[title]]",
            "description": "{{$:/language/Filters/ShadowTiddlers}}",
            "text": ""
        },
        "$:/core/Filters/StoryList": {
            "title": "$:/core/Filters/StoryList",
            "tags": "$:/tags/Filter",
            "filter": "[list[$:/StoryList]] -$:/AdvancedSearch",
            "description": "{{$:/language/Filters/StoryList}}",
            "text": ""
        },
        "$:/core/Filters/SystemTags": {
            "title": "$:/core/Filters/SystemTags",
            "tags": "$:/tags/Filter",
            "filter": "[all[shadows+tiddlers]tags[]is[system]sort[title]]",
            "description": "{{$:/language/Filters/SystemTags}}",
            "text": ""
        },
        "$:/core/Filters/SystemTiddlers": {
            "title": "$:/core/Filters/SystemTiddlers",
            "tags": "$:/tags/Filter",
            "filter": "[is[system]sort[title]]",
            "description": "{{$:/language/Filters/SystemTiddlers}}",
            "text": ""
        },
        "$:/core/Filters/TypedTiddlers": {
            "title": "$:/core/Filters/TypedTiddlers",
            "tags": "$:/tags/Filter",
            "filter": "[!is[system]has[type]each[type]sort[type]] -[type[text/vnd.tiddlywiki]]",
            "description": "{{$:/language/Filters/TypedTiddlers}}",
            "text": ""
        },
        "$:/core/ui/ImportListing": {
            "title": "$:/core/ui/ImportListing",
            "text": "\\define lingo-base() $:/language/Import/\n\n\\define messageField()\nmessage-$(payloadTiddler)$\n\\end\n\n\\define selectionField()\nselection-$(payloadTiddler)$\n\\end\n\n\\define previewPopupState()\n$(currentTiddler)$!!popup-$(payloadTiddler)$\n\\end\n\n\\define select-all-actions()\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<$action-setfield $field={{{ [<payloadTiddler>addprefix[selection-]] }}} $value={{$:/state/import/select-all}}/>\n</$list>\n\\end\n\n<table>\n<tbody>\n<tr>\n<th>\n<$checkbox tiddler=\"$:/state/import/select-all\" field=\"text\" checked=\"checked\" unchecked=\"unchecked\" default=\"checked\" actions=<<select-all-actions>>>\n<<lingo Listing/Select/Caption>>\n</$checkbox>\n</th>\n<th>\n<<lingo Listing/Title/Caption>>\n</th>\n<th>\n<<lingo Listing/Status/Caption>>\n</th>\n</tr>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<tr>\n<td>\n<$checkbox field=<<selectionField>> checked=\"checked\" unchecked=\"unchecked\" default=\"checked\"/>\n</td>\n<td>\n<$reveal type=\"nomatch\" stateTitle=<<previewPopupState>> text=\"yes\" tag=\"div\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" setTitle=<<previewPopupState>> setTo=\"yes\">\n{{$:/core/images/right-arrow}}&nbsp;<$text text=<<payloadTiddler>>/>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<previewPopupState>> text=\"yes\" tag=\"div\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" setTitle=<<previewPopupState>> setTo=\"no\">\n{{$:/core/images/down-arrow}}&nbsp;<$text text=<<payloadTiddler>>/>\n</$button>\n</$reveal>\n</td>\n<td>\n<$view field=<<messageField>>/>\n</td>\n</tr>\n<tr>\n<td colspan=\"3\">\n<$reveal type=\"match\" text=\"yes\" stateTitle=<<previewPopupState>> tag=\"div\">\n<$list filter=\"[{$:/state/importpreviewtype}has[text]]\" variable=\"listItem\" emptyMessage={{$:/core/ui/ImportPreviews/Text}}>\n<$transclude tiddler={{$:/state/importpreviewtype}}/>\n</$list>\n</$reveal>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
        },
        "$:/core/ui/ImportPreviews/Diff": {
            "title": "$:/core/ui/ImportPreviews/Diff",
            "tags": "$:/tags/ImportPreview",
            "caption": "{{$:/language/Import/Listing/Preview/Diff}}",
            "text": "<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle=<<payloadTiddler>> destTiddlerTitle=<<currentTiddler>> destSubTiddlerTitle=<<payloadTiddler>>/>\n"
        },
        "$:/core/ui/ImportPreviews/DiffFields": {
            "title": "$:/core/ui/ImportPreviews/DiffFields",
            "tags": "$:/tags/ImportPreview",
            "caption": "{{$:/language/Import/Listing/Preview/DiffFields}}",
            "text": "<$macrocall $name=\"compareTiddlers\" sourceTiddlerTitle=<<payloadTiddler>> destTiddlerTitle=<<currentTiddler>> destSubTiddlerTitle=<<payloadTiddler>> exclude=\"text\"/>\n"
        },
        "$:/core/ui/ImportPreviews/Fields": {
            "title": "$:/core/ui/ImportPreviews/Fields",
            "tags": "$:/tags/ImportPreview",
            "caption": "{{$:/language/Import/Listing/Preview/Fields}}",
            "text": "<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[<payloadTiddler>subtiddlerfields<currentTiddler>sort[]] -text\" variable=\"fieldName\">\n<tr class=\"tc-view-field\">\n<td class=\"tc-view-field-name\">\n<$text text=<<fieldName>>/>\n</td>\n<td class=\"tc-view-field-value\">\n<$view field=<<fieldName>> tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>>/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
        },
        "$:/core/ui/ImportPreviews/Text": {
            "title": "$:/core/ui/ImportPreviews/Text",
            "tags": "$:/tags/ImportPreview",
            "caption": "{{$:/language/Import/Listing/Preview/Text}}",
            "text": "<$transclude tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>> mode=\"block\"/>\n"
        },
        "$:/core/ui/ImportPreviews/TextRaw": {
            "title": "$:/core/ui/ImportPreviews/TextRaw",
            "tags": "$:/tags/ImportPreview",
            "caption": "{{$:/language/Import/Listing/Preview/TextRaw}}",
            "text": "<pre><code><$view tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>> /></code></pre>"
        },
        "$:/core/ui/KeyboardShortcuts/advanced-search": {
            "title": "$:/core/ui/KeyboardShortcuts/advanced-search",
            "tags": "$:/tags/KeyboardShortcut",
            "key": "((advanced-search))",
            "text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\">\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\"[data-tiddler-title=\"$:/AdvancedSearch\"] .tc-search input\"\"\"/>\n</$navigator>\n"
        },
        "$:/core/ui/KeyboardShortcuts/new-image": {
            "title": "$:/core/ui/KeyboardShortcuts/new-image",
            "tags": "$:/tags/KeyboardShortcut",
            "key": "((new-image))",
            "text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-image}}\n</$navigator>\n"
        },
        "$:/core/ui/KeyboardShortcuts/new-journal": {
            "title": "$:/core/ui/KeyboardShortcuts/new-journal",
            "tags": "$:/tags/KeyboardShortcut",
            "key": "((new-journal))",
            "text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-journal}}\n</$navigator>\n"
        },
        "$:/core/ui/KeyboardShortcuts/new-tiddler": {
            "title": "$:/core/ui/KeyboardShortcuts/new-tiddler",
            "tags": "$:/tags/KeyboardShortcut",
            "key": "((new-tiddler))",
            "text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-tiddler}}\n</$navigator>\n"
        },
        "$:/core/ui/KeyboardShortcuts/sidebar-search": {
            "title": "$:/core/ui/KeyboardShortcuts/sidebar-search",
            "tags": "$:/tags/KeyboardShortcut",
            "key": "((sidebar-search))",
            "text": "<$action-sendmessage $message=\"tm-focus-selector\" $param=\".tc-search input\"/>\n"
        },
        "$:/core/ui/KeyboardShortcut/toggle-sidebar": {
            "title": "$:/core/ui/KeyboardShortcut/toggle-sidebar",
            "tags": "$:/tags/KeyboardShortcut",
            "key": "((toggle-sidebar))",
            "text": "<$list filter=\"[[$:/state/sidebar]is[missing]] [{$:/state/sidebar}removeprefix[yes]]\" emptyMessage=\"\"\"\n<$action-setfield $tiddler=\"$:/state/sidebar\" text=\"yes\"/>\n\"\"\">\n<$action-setfield $tiddler=\"$:/state/sidebar\" text=\"no\"/>\n</$list>\n"
        },
        "$:/core/ui/ListItemTemplate": {
            "title": "$:/core/ui/ListItemTemplate",
            "text": "<div class=\"tc-menu-list-item\">\n<$link />\n</div>"
        },
        "$:/Manager/ItemMain/Fields": {
            "title": "$:/Manager/ItemMain/Fields",
            "tags": "$:/tags/Manager/ItemMain",
            "caption": "{{$:/language/Manager/Item/Fields}}",
            "text": "<table>\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"
        },
        "$:/Manager/ItemMain/RawText": {
            "title": "$:/Manager/ItemMain/RawText",
            "tags": "$:/tags/Manager/ItemMain",
            "caption": "{{$:/language/Manager/Item/RawText}}",
            "text": "<pre><code><$view/></code></pre>\n"
        },
        "$:/Manager/ItemMain/WikifiedText": {
            "title": "$:/Manager/ItemMain/WikifiedText",
            "tags": "$:/tags/Manager/ItemMain",
            "caption": "{{$:/language/Manager/Item/WikifiedText}}",
            "text": "<$transclude mode=\"block\"/>\n"
        },
        "$:/Manager/ItemSidebar/Colour": {
            "title": "$:/Manager/ItemSidebar/Colour",
            "tags": "$:/tags/Manager/ItemSidebar",
            "caption": "{{$:/language/Manager/Item/Colour}}",
            "text": "\\define swatch-styles()\nheight: 1em;\nbackground-color: $(colour)$\n\\end\n\n<$vars colour={{!!color}}>\n<p style=<<swatch-styles>>/>\n</$vars>\n<p>\n<$edit-text field=\"color\" tag=\"input\" type=\"color\"/> / <$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/>\n</p>\n"
        },
        "$:/Manager/ItemSidebar/Icon": {
            "title": "$:/Manager/ItemSidebar/Icon",
            "tags": "$:/tags/Manager/ItemSidebar",
            "caption": "{{$:/language/Manager/Item/Icon}}",
            "text": "<p>\n<div class=\"tc-manager-icon-editor\">\n<$button popup=<<qualify \"$:/state/popup/image-picker\">> class=\"tc-btn-invisible\">\n<$transclude tiddler={{!!icon}}>\n{{$:/language/Manager/Item/Icon/None}}\n</$transclude>\n</$button>\n<div class=\"tc-block-dropdown-wrapper\" style=\"position: static;\">\n<$reveal state=<<qualify \"$:/state/popup/image-picker\">> type=\"nomatch\" text=\"\" default=\"\" tag=\"div\" class=\"tc-popup\">\n<div class=\"tc-block-dropdown tc-popup-keep\" style=\"width: 80%; left: 10%; right: 10%; padding: 0.5em;\">\n<$macrocall $name=\"image-picker-include-tagged-images\" actions=\"\"\"\n<$action-setfield $field=\"icon\" $value=<<imageTitle>>/>\n<$action-deletetiddler $tiddler=<<qualify \"$:/state/popup/image-picker\">>/>\n\"\"\"/>\n</div>\n</$reveal>\n</div>\n</div>\n</p>\n"
        },
        "$:/Manager/ItemSidebar/Tags": {
            "title": "$:/Manager/ItemSidebar/Tags",
            "tags": "$:/tags/Manager/ItemSidebar",
            "caption": "{{$:/language/Manager/Item/Tags}}",
            "text": "\\define tag-checkbox-actions()\n<$action-listops\n\t$tiddler=\"$:/config/Manager/RecentTags\"\n\t$subfilter=\"[<tag>] [list[$:/config/Manager/RecentTags]] +[limit[12]]\"\n/>\n\\end\n\n\\define tag-picker-actions()\n<<tag-checkbox-actions>>\n<$action-listops\n\t$tiddler=<<currentTiddler>>\n\t$field=\"tags\"\n\t$subfilter=\"[<tag>] [all[current]tags[]]\"\n/>\n\\end\n\n<p>\n<$list filter=\"[all[current]tags[]] [list[$:/config/Manager/RecentTags]] +[sort[title]] \" variable=\"tag\">\n<div>\n<$checkbox tiddler=<<currentTiddler>> tag=<<tag>> actions=<<tag-checkbox-actions>>>\n<$macrocall $name=\"tag-pill\" tag=<<tag>>/>\n</$checkbox>\n</div>\n</$list>\n</p>\n<p>\n<$macrocall $name=\"tag-picker\" actions=<<tag-picker-actions>>/>\n</p>\n"
        },
        "$:/Manager/ItemSidebar/Tools": {
            "title": "$:/Manager/ItemSidebar/Tools",
            "tags": "$:/tags/Manager/ItemSidebar",
            "caption": "{{$:/language/Manager/Item/Tools}}",
            "text": "<p>\n<$button to=<<currentTiddler>>>{{$:/core/images/link}} open</$button>\n</p>\n<p>\n<$button message=\"tm-edit-tiddler\" param=<<currentTiddler>>>{{$:/core/images/edit-button}} edit</$button>\n</p>\n"
        },
        "$:/Manager": {
            "title": "$:/Manager",
            "icon": "$:/core/images/list",
            "color": "#bbb",
            "text": "\\define lingo-base() $:/language/Manager/\n\n\\define list-item-content-item()\n<div class=\"tc-manager-list-item-content-item\">\n\t<$vars state-title=\"\"\"$:/state/popup/manager/item/$(listItem)$\"\"\">\n\t\t<$reveal state=<<state-title>> type=\"match\" text=\"show\" default=\"show\" tag=\"div\">\n\t\t\t<$button set=<<state-title>> setTo=\"hide\" class=\"tc-btn-invisible tc-manager-list-item-content-item-heading\">\n\t\t\t\t{{$:/core/images/down-arrow}} <$transclude tiddler=<<listItem>> field=\"caption\"/>\n\t\t\t</$button>\n\t\t</$reveal>\n\t\t<$reveal state=<<state-title>> type=\"nomatch\" text=\"show\" default=\"show\" tag=\"div\">\n\t\t\t<$button set=<<state-title>> setTo=\"show\" class=\"tc-btn-invisible tc-manager-list-item-content-item-heading\">\n\t\t\t\t{{$:/core/images/right-arrow}} <$transclude tiddler=<<listItem>> field=\"caption\"/>\n\t\t\t</$button>\n\t\t</$reveal>\n\t\t<$reveal state=<<state-title>> type=\"match\" text=\"show\" default=\"show\" tag=\"div\" class=\"tc-manager-list-item-content-item-body\">\n\t\t\t<$transclude tiddler=<<listItem>>/>\n\t\t</$reveal>\n\t</$vars>\n</div>\n\\end\n\n<div class=\"tc-manager-wrapper\">\n\t<div class=\"tc-manager-controls\">\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Show/Prompt>> <$select tiddler=\"$:/config/Manager/Show\" default=\"tiddlers\">\n\t\t\t\t<option value=\"tiddlers\"><<lingo Controls/Show/Option/Tiddlers>></option>\n\t\t\t\t<option value=\"tags\"><<lingo Controls/Show/Option/Tags>></option>\n\t\t\t</$select>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Search/Prompt>> <$edit-text tiddler=\"$:/config/Manager/Filter\" tag=\"input\" default=\"\" placeholder={{$:/language/Manager/Controls/Search/Placeholder}}/>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/FilterByTag/Prompt>> <$select tiddler=\"$:/config/Manager/Tag\" default=\"\">\n\t\t\t\t<option value=\"\"><<lingo Controls/FilterByTag/None>></option>\n\t\t\t\t<$list filter=\"[!is{$:/config/Manager/System}tags[]!is[system]sort[title]]\" variable=\"tag\">\n\t\t\t\t\t<option value=<<tag>>><$text text=<<tag>>/></option>\n\t\t\t\t</$list>\n\t\t\t</$select>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Sort/Prompt>> <$select tiddler=\"$:/config/Manager/Sort\" default=\"title\">\n\t\t\t\t<optgroup label=\"Common\">\n\t\t\t\t\t<$list filter=\"title modified modifier created creator created\" variable=\"field\">\n\t\t\t\t\t\t<option value=<<field>>><$text text=<<field>>/></option>\n\t\t\t\t\t</$list>\n\t\t\t\t</optgroup>\n\t\t\t\t<optgroup label=\"All\">\n\t\t\t\t\t<$list filter=\"[all{$:/config/Manager/Show}!is{$:/config/Manager/System}fields[]sort[title]] -title -modified -modifier -created -creator -created\" variable=\"field\">\n\t\t\t\t\t\t<option value=<<field>>><$text text=<<field>>/></option>\n\t\t\t\t\t</$list>\n\t\t\t\t</optgroup>\n\t\t\t</$select>\n\t\t\t<$checkbox tiddler=\"$:/config/Manager/Order\" field=\"text\" checked=\"reverse\" unchecked=\"forward\" default=\"forward\">\n\t\t\t\t<<lingo Controls/Order/Prompt>>\n\t\t\t</$checkbox>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<$checkbox tiddler=\"$:/config/Manager/System\" field=\"text\" checked=\"\" unchecked=\"system\" default=\"system\">\n\t\t\t\t{{$:/language/SystemTiddlers/Include/Prompt}}\n\t\t\t</$checkbox>\n\t\t</div>\n\t</div>\n\t<div class=\"tc-manager-list\">\n\t\t<$list filter=\"[all{$:/config/Manager/Show}!is{$:/config/Manager/System}search{$:/config/Manager/Filter}tag:strict{$:/config/Manager/Tag}sort{$:/config/Manager/Sort}order{$:/config/Manager/Order}]\">\n\t\t\t<$vars transclusion=<<currentTiddler>>>\n\t\t\t\t<div style=\"tc-manager-list-item\">\n\t\t\t\t\t<$button popup=<<qualify \"$:/state/manager/popup\">> class=\"tc-btn-invisible tc-manager-list-item-heading\" selectedClass=\"tc-manager-list-item-heading-selected\">\n\t\t\t\t\t\t<$text text=<<currentTiddler>>/>\n\t\t\t\t\t</$button>\n\t\t\t\t\t<$reveal state=<<qualify \"$:/state/manager/popup\">> type=\"nomatch\" text=\"\" default=\"\" tag=\"div\" class=\"tc-manager-list-item-content tc-popup-handle\">\n\t\t\t\t\t\t<div class=\"tc-manager-list-item-content-tiddler\">\n\t\t\t\t\t\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Manager/ItemMain]!has[draft.of]]\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t<<list-item-content-item>>\n\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t<div class=\"tc-manager-list-item-content-sidebar\">\n\t\t\t\t\t\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Manager/ItemSidebar]!has[draft.of]]\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t<<list-item-content-item>>\n\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t</$reveal>\n\t\t\t\t</div>\n\t\t\t</$vars>\n\t\t</$list>\n\t</div>\n</div>\n"
        },
        "$:/core/ui/MissingTemplate": {
            "title": "$:/core/ui/MissingTemplate",
            "text": "<div class=\"tc-tiddler-missing\">\n<$button popup=<<qualify \"$:/state/popup/missing\">> class=\"tc-btn-invisible tc-missing-tiddler-label\">\n<$view field=\"title\" format=\"text\" />\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/missing\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n<hr>\n<$list filter=\"[all[current]backlinks[]sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n</div>\n"
        },
        "$:/core/ui/MoreSideBar/All": {
            "title": "$:/core/ui/MoreSideBar/All",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/All/Caption}}",
            "text": "<$list filter={{$:/core/Filters/AllTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
        },
        "$:/core/ui/MoreSideBar/Drafts": {
            "title": "$:/core/ui/MoreSideBar/Drafts",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/Drafts/Caption}}",
            "text": "<$list filter={{$:/core/Filters/Drafts!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
        },
        "$:/core/ui/MoreSideBar/Explorer": {
            "title": "$:/core/ui/MoreSideBar/Explorer",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/Explorer/Caption}}",
            "text": "<<tree \"$:/\">>\n"
        },
        "$:/core/ui/MoreSideBar/Missing": {
            "title": "$:/core/ui/MoreSideBar/Missing",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/Missing/Caption}}",
            "text": "<$list filter={{$:/core/Filters/Missing!!filter}} template=\"$:/core/ui/MissingTemplate\"/>\n"
        },
        "$:/core/ui/MoreSideBar/Orphans": {
            "title": "$:/core/ui/MoreSideBar/Orphans",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/Orphans/Caption}}",
            "text": "<$list filter={{$:/core/Filters/Orphans!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
        },
        "$:/core/ui/MoreSideBar/Plugins": {
            "title": "$:/core/ui/MoreSideBar/Plugins",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/ControlPanel/Plugins/Caption}}",
            "text": "\n{{$:/language/ControlPanel/Plugins/Installed/Hint}}\n\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar/Plugins]!has[draft.of]]\" \"$:/core/ui/MoreSideBar/Plugins/Plugins\">>\n"
        },
        "$:/core/ui/MoreSideBar/Recent": {
            "title": "$:/core/ui/MoreSideBar/Recent",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/Recent/Caption}}",
            "text": "<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"
        },
        "$:/core/ui/MoreSideBar/Shadows": {
            "title": "$:/core/ui/MoreSideBar/Shadows",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/Shadows/Caption}}",
            "text": "<$list filter={{$:/core/Filters/ShadowTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
        },
        "$:/core/ui/MoreSideBar/System": {
            "title": "$:/core/ui/MoreSideBar/System",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/System/Caption}}",
            "text": "<$list filter={{$:/core/Filters/SystemTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
        },
        "$:/core/ui/MoreSideBar/Tags": {
            "title": "$:/core/ui/MoreSideBar/Tags",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/Tags/Caption}}",
            "text": "<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n{{$:/core/ui/Buttons/tag-manager}}\n\n</$set>\n\n</$set>\n\n</$set>\n\n<$list filter={{$:/core/Filters/AllTags!!filter}}>\n\n<$transclude tiddler=\"$:/core/ui/TagTemplate\"/>\n\n</$list>\n\n<hr class=\"tc-untagged-separator\">\n\n{{$:/core/ui/UntaggedTemplate}}\n"
        },
        "$:/core/ui/MoreSideBar/Types": {
            "title": "$:/core/ui/MoreSideBar/Types",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/Types/Caption}}",
            "text": "<$list filter={{$:/core/Filters/TypedTiddlers!!filter}}>\n<div class=\"tc-menu-list-item\">\n<$view field=\"type\"/>\n<$list filter=\"[type{!!type}!is[system]sort[title]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}><$view field=\"title\"/></$link>\n</div>\n</$list>\n</div>\n</$list>\n"
        },
        "$:/core/ui/MoreSideBar/Plugins/Languages": {
            "title": "$:/core/ui/MoreSideBar/Plugins/Languages",
            "tags": "$:/tags/MoreSideBar/Plugins",
            "caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}}",
            "text": "<$list filter=\"[!has[draft.of]plugin-type[language]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}/>\n"
        },
        "$:/core/ui/MoreSideBar/Plugins/Plugins": {
            "title": "$:/core/ui/MoreSideBar/Plugins/Plugins",
            "tags": "$:/tags/MoreSideBar/Plugins",
            "caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}}",
            "text": "<$list filter=\"[!has[draft.of]plugin-type[plugin]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}>>/>\n"
        },
        "$:/core/ui/MoreSideBar/Plugins/Theme": {
            "title": "$:/core/ui/MoreSideBar/Plugins/Theme",
            "tags": "$:/tags/MoreSideBar/Plugins",
            "caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}}",
            "text": "<$list filter=\"[!has[draft.of]plugin-type[theme]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}/>\n"
        },
        "$:/core/ui/Buttons/advanced-search": {
            "title": "$:/core/ui/Buttons/advanced-search",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/advanced-search-button}} {{$:/language/Buttons/AdvancedSearch/Caption}}",
            "description": "{{$:/language/Buttons/AdvancedSearch/Hint}}",
            "text": "\\whitespace trim\n\\define control-panel-button(class)\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/advanced-search-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/AdvancedSearch/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/AdvancedSearch]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
        },
        "$:/core/ui/Buttons/close-all": {
            "title": "$:/core/ui/Buttons/close-all",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/close-all-button}} {{$:/language/Buttons/CloseAll/Caption}}",
            "description": "{{$:/language/Buttons/CloseAll/Hint}}",
            "text": "<$button message=\"tm-close-all-tiddlers\" tooltip={{$:/language/Buttons/CloseAll/Hint}} aria-label={{$:/language/Buttons/CloseAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/CloseAll/Caption}}/></span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/control-panel": {
            "title": "$:/core/ui/Buttons/control-panel",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/options-button}} {{$:/language/Buttons/ControlPanel/Caption}}",
            "description": "{{$:/language/Buttons/ControlPanel/Hint}}",
            "text": "\\whitespace trim\n\\define control-panel-button(class)\n<$button to=\"$:/ControlPanel\" tooltip={{$:/language/Buttons/ControlPanel/Hint}} aria-label={{$:/language/Buttons/ControlPanel/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/options-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/ControlPanel/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/ControlPanel]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
        },
        "$:/core/ui/Buttons/encryption": {
            "title": "$:/core/ui/Buttons/encryption",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/locked-padlock}} {{$:/language/Buttons/Encryption/Caption}}",
            "description": "{{$:/language/Buttons/Encryption/Hint}}",
            "text": "\\whitespace trim\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-clear-password\" tooltip={{$:/language/Buttons/Encryption/ClearPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/ClearPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/locked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Encryption/ClearPassword/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-set-password\" tooltip={{$:/language/Buttons/Encryption/SetPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/SetPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/unlocked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Encryption/SetPassword/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n"
        },
        "$:/core/ui/Buttons/export-page": {
            "title": "$:/core/ui/Buttons/export-page",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportPage/Caption}}",
            "description": "{{$:/language/Buttons/ExportPage/Hint}}",
            "text": "<$macrocall $name=\"exportButton\" exportFilter=\"[!is[system]sort[title]]\" lingoBase=\"$:/language/Buttons/ExportPage/\"/>"
        },
        "$:/core/ui/Buttons/fold-all": {
            "title": "$:/core/ui/Buttons/fold-all",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/fold-all-button}} {{$:/language/Buttons/FoldAll/Caption}}",
            "description": "{{$:/language/Buttons/FoldAll/Hint}}",
            "text": "<$button tooltip={{$:/language/Buttons/FoldAll/Hint}} aria-label={{$:/language/Buttons/FoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FoldAll/Caption}}/></span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/full-screen": {
            "title": "$:/core/ui/Buttons/full-screen",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/full-screen-button}} {{$:/language/Buttons/FullScreen/Caption}}",
            "description": "{{$:/language/Buttons/FullScreen/Hint}}",
            "text": "<$button message=\"tm-full-screen\" tooltip={{$:/language/Buttons/FullScreen/Hint}} aria-label={{$:/language/Buttons/FullScreen/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/full-screen-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FullScreen/Caption}}/></span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/home": {
            "title": "$:/core/ui/Buttons/home",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/home-button}} {{$:/language/Buttons/Home/Caption}}",
            "description": "{{$:/language/Buttons/Home/Hint}}",
            "text": "<$button message=\"tm-home\" tooltip={{$:/language/Buttons/Home/Hint}} aria-label={{$:/language/Buttons/Home/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/home-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Home/Caption}}/></span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/import": {
            "title": "$:/core/ui/Buttons/import",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/import-button}} {{$:/language/Buttons/Import/Caption}}",
            "description": "{{$:/language/Buttons/Import/Hint}}",
            "text": "<div class=\"tc-file-input-wrapper\">\n<$button tooltip={{$:/language/Buttons/Import/Hint}} aria-label={{$:/language/Buttons/Import/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/import-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Import/Caption}}/></span>\n</$list>\n</$button>\n<$browse tooltip={{$:/language/Buttons/Import/Hint}}/>\n</div>"
        },
        "$:/core/ui/Buttons/language": {
            "title": "$:/core/ui/Buttons/language",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/globe}} {{$:/language/Buttons/Language/Caption}}",
            "description": "{{$:/language/Buttons/Language/Hint}}",
            "text": "\\whitespace trim\n\\define flag-title()\n$(languagePluginTitle)$/icon\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/language\">> tooltip={{$:/language/Buttons/Language/Hint}} aria-label={{$:/language/Buttons/Language/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value={{$:/language}}>\n<$image source=<<flag-title>>/>\n</$set>\n</span>\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Language/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/language\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n{{$:/snippets/languageswitcher}}\n</div>\n</$reveal>\n"
        },
        "$:/core/ui/Buttons/manager": {
            "title": "$:/core/ui/Buttons/manager",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/list}} {{$:/language/Buttons/Manager/Caption}}",
            "description": "{{$:/language/Buttons/Manager/Hint}}",
            "text": "\\whitespace trim\n\\define manager-button(class)\n<$button to=\"$:/Manager\" tooltip={{$:/language/Buttons/Manager/Hint}} aria-label={{$:/language/Buttons/Manager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/list}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Manager/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/Manager]]\" emptyMessage=<<manager-button>>>\n<<manager-button \"tc-selected\">>\n</$list>\n"
        },
        "$:/core/ui/Buttons/more-page-actions": {
            "title": "$:/core/ui/Buttons/more-page-actions",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}",
            "description": "{{$:/language/Buttons/More/Hint}}",
            "text": "\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/More/Caption}}/></span>\n</$list>\n</$button><$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"below\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]] -[[$:/core/ui/Buttons/more-page-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"
        },
        "$:/core/ui/Buttons/new-image": {
            "title": "$:/core/ui/Buttons/new-image",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/new-image-button}} {{$:/language/Buttons/NewImage/Caption}}",
            "description": "{{$:/language/Buttons/NewImage/Hint}}",
            "text": "\\whitespace trim\n<$button tooltip={{$:/language/Buttons/NewImage/Hint}} aria-label={{$:/language/Buttons/NewImage/Caption}} class=<<tv-config-toolbar-class>> actions={{$:/core/ui/Actions/new-image}}>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-image-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewImage/Caption}}/></span>\n</$list>\n</$button>\n"
        },
        "$:/core/ui/Buttons/new-journal": {
            "title": "$:/core/ui/Buttons/new-journal",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournal/Caption}}",
            "description": "{{$:/language/Buttons/NewJournal/Hint}}",
            "text": "\\whitespace trim\n\\define journalButton()\n<$button tooltip={{$:/language/Buttons/NewJournal/Hint}} aria-label={{$:/language/Buttons/NewJournal/Caption}} class=<<tv-config-toolbar-class>> actions={{$:/core/ui/Actions/new-journal}}>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewJournal/Caption}}/></span>\n</$list>\n</$button>\n\\end\n<<journalButton>>\n"
        },
        "$:/core/ui/Buttons/new-tiddler": {
            "title": "$:/core/ui/Buttons/new-tiddler",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/new-button}} {{$:/language/Buttons/NewTiddler/Caption}}",
            "description": "{{$:/language/Buttons/NewTiddler/Hint}}",
            "text": "\\whitespace trim\n<$button actions={{$:/core/ui/Actions/new-tiddler}} tooltip={{$:/language/Buttons/NewTiddler/Hint}} aria-label={{$:/language/Buttons/NewTiddler/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewTiddler/Caption}}/></span>\n</$list>\n</$button>\n"
        },
        "$:/core/ui/Buttons/palette": {
            "title": "$:/core/ui/Buttons/palette",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/palette}} {{$:/language/Buttons/Palette/Caption}}",
            "description": "{{$:/language/Buttons/Palette/Hint}}",
            "text": "\\whitespace trim\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/palette\">> tooltip={{$:/language/Buttons/Palette/Hint}} aria-label={{$:/language/Buttons/Palette/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/palette}}\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Palette/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/palette\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\" style=\"font-size:0.7em;\">\n{{$:/snippets/paletteswitcher}}\n</div>\n</$reveal>\n"
        },
        "$:/core/ui/Buttons/print": {
            "title": "$:/core/ui/Buttons/print",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/print-button}} {{$:/language/Buttons/Print/Caption}}",
            "description": "{{$:/language/Buttons/Print/Hint}}",
            "text": "<$button message=\"tm-print\" tooltip={{$:/language/Buttons/Print/Hint}} aria-label={{$:/language/Buttons/Print/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/print-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Print/Caption}}/></span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/refresh": {
            "title": "$:/core/ui/Buttons/refresh",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/refresh-button}} {{$:/language/Buttons/Refresh/Caption}}",
            "description": "{{$:/language/Buttons/Refresh/Hint}}",
            "text": "<$button message=\"tm-browser-refresh\" tooltip={{$:/language/Buttons/Refresh/Hint}} aria-label={{$:/language/Buttons/Refresh/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/refresh-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Refresh/Caption}}/></span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/save-wiki": {
            "title": "$:/core/ui/Buttons/save-wiki",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/save-button}} {{$:/language/Buttons/SaveWiki/Caption}}",
            "description": "{{$:/language/Buttons/SaveWiki/Hint}}",
            "text": "<$button tooltip={{$:/language/Buttons/SaveWiki/Hint}} aria-label={{$:/language/Buttons/SaveWiki/Caption}} class=<<tv-config-toolbar-class>>>\n<$wikify name=\"site-title\" text={{$:/config/SaveWikiButton/Filename}}>\n<$action-sendmessage $message=\"tm-save-wiki\" $param={{$:/config/SaveWikiButton/Template}} filename=<<site-title>>/>\n</$wikify>\n<span class=\"tc-dirty-indicator\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/save-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/SaveWiki/Caption}}/></span>\n</$list>\n</span>\n</$button>"
        },
        "$:/core/ui/Buttons/storyview": {
            "title": "$:/core/ui/Buttons/storyview",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/storyview-classic}} {{$:/language/Buttons/StoryView/Caption}}",
            "description": "{{$:/language/Buttons/StoryView/Hint}}",
            "text": "\\whitespace trim\n\\define icon()\n$:/core/images/storyview-$(storyview)$\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/storyview\">> tooltip={{$:/language/Buttons/StoryView/Hint}} aria-label={{$:/language/Buttons/StoryView/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<$set name=\"storyview\" value={{$:/view}}>\n<$transclude tiddler=<<icon>>/>\n</$set>\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/StoryView/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/storyview\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n{{$:/snippets/viewswitcher}}\n</div>\n</$reveal>\n"
        },
        "$:/core/ui/Buttons/tag-manager": {
            "title": "$:/core/ui/Buttons/tag-manager",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/tag-button}} {{$:/language/Buttons/TagManager/Caption}}",
            "description": "{{$:/language/Buttons/TagManager/Hint}}",
            "text": "\\whitespace trim\n\\define control-panel-button(class)\n<$button to=\"$:/TagManager\" tooltip={{$:/language/Buttons/TagManager/Hint}} aria-label={{$:/language/Buttons/TagManager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/tag-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/TagManager/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/TagManager]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
        },
        "$:/core/ui/Buttons/theme": {
            "title": "$:/core/ui/Buttons/theme",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/theme-button}} {{$:/language/Buttons/Theme/Caption}}",
            "description": "{{$:/language/Buttons/Theme/Hint}}",
            "text": "\\whitespace trim\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/theme\">> tooltip={{$:/language/Buttons/Theme/Hint}} aria-label={{$:/language/Buttons/Theme/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/theme-button}}\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Theme/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/theme\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$linkcatcher to=\"$:/theme\">\n{{$:/snippets/themeswitcher}}\n</$linkcatcher>\n</div>\n</$reveal>\n"
        },
        "$:/core/ui/Buttons/timestamp": {
            "title": "$:/core/ui/Buttons/timestamp",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/timestamp-on}} {{$:/language/Buttons/Timestamp/Caption}}",
            "description": "{{$:/language/Buttons/Timestamp/Hint}}",
            "text": "\\whitespace trim\n<$reveal type=\"nomatch\" state=\"$:/config/TimestampDisable\" text=\"yes\">\n<$button tooltip={{$:/language/Buttons/Timestamp/On/Hint}} aria-label={{$:/language/Buttons/Timestamp/On/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-setfield $tiddler=\"$:/config/TimestampDisable\" $value=\"yes\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/timestamp-on}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Timestamp/On/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/config/TimestampDisable\" text=\"yes\">\n<$button tooltip={{$:/language/Buttons/Timestamp/Off/Hint}} aria-label={{$:/language/Buttons/Timestamp/Off/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-setfield $tiddler=\"$:/config/TimestampDisable\" $value=\"no\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/timestamp-off}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Timestamp/Off/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n"
        },
        "$:/core/ui/Buttons/unfold-all": {
            "title": "$:/core/ui/Buttons/unfold-all",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/unfold-all-button}} {{$:/language/Buttons/UnfoldAll/Caption}}",
            "description": "{{$:/language/Buttons/UnfoldAll/Hint}}",
            "text": "<$button tooltip={{$:/language/Buttons/UnfoldAll/Hint}} aria-label={{$:/language/Buttons/UnfoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-unfold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/UnfoldAll/Caption}}/></span>\n</$list>\n</$button>"
        },
        "$:/core/ui/PageTemplate/pagecontrols": {
            "title": "$:/core/ui/PageTemplate/pagecontrols",
            "text": "\\whitespace trim\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-page-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"hidden\" value=<<config-title>>>\n<$list filter=\"[<hidden>!text[hide]]\" storyview=\"pop\" variable=\"ignore\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$set>\n</$list>\n</$set>\n</$list>\n</div>\n"
        },
        "$:/core/ui/PageStylesheet": {
            "title": "$:/core/ui/PageStylesheet",
            "text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$set name=\"currentTiddler\" value={{$:/language}}>\n\n<$set name=\"languageTitle\" value={{!!name}}>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\n</$set>\n\n</$set>\n"
        },
        "$:/core/ui/PageTemplate/alerts": {
            "title": "$:/core/ui/PageTemplate/alerts",
            "tags": "$:/tags/PageTemplate",
            "text": "<div class=\"tc-alerts\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Alert]!has[draft.of]]\" template=\"$:/core/ui/AlertTemplate\" storyview=\"pop\"/>\n\n</div>\n"
        },
        "$:/core/ui/PageTemplate/drafts": {
            "title": "$:/core/ui/PageTemplate/drafts",
            "tags": "$:/tags/PageTemplate",
            "text": "\\whitespace trim\n<$reveal state=\"$:/status/IsReadOnly\" type=\"nomatch\" text=\"yes\" tag=\"div\" class=\"tc-drafts-list\">\n<$list filter=\"[has[draft.of]!sort[modified]] -[list[$:/StoryList]]\">\n<$link>\n{{$:/core/images/edit-button}} <$text text=<<currentTiddler>>/>\n</$link>\n</$list>\n</$reveal>\n"
        },
        "$:/core/ui/PageTemplate/pluginreloadwarning": {
            "title": "$:/core/ui/PageTemplate/pluginreloadwarning",
            "tags": "$:/tags/PageTemplate",
            "text": "\\define lingo-base() $:/language/\n\n<$list filter=\"[{$:/status/RequireReloadDueToPluginChange}match[yes]]\">\n\n<$reveal type=\"nomatch\" state=\"$:/temp/HidePluginWarning\" text=\"yes\">\n\n<div class=\"tc-plugin-reload-warning\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<<lingo PluginReloadWarning>> <$button set=\"$:/temp/HidePluginWarning\" setTo=\"yes\" class=\"tc-btn-invisible\">{{$:/core/images/close-button}}</$button>\n\n</$set>\n\n</div>\n\n</$reveal>\n\n</$list>\n"
        },
        "$:/core/ui/PageTemplate/sidebar": {
            "title": "$:/core/ui/PageTemplate/sidebar",
            "tags": "$:/tags/PageTemplate",
            "text": "\\whitespace trim\n\\define config-title()\n$:/config/SideBarSegments/Visibility/$(listItem)$\n\\end\n\n<$scrollable fallthrough=\"no\" class=\"tc-sidebar-scrollable\">\n\n<div class=\"tc-sidebar-header\">\n\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBarSegment]!has[draft.of]]\" variable=\"listItem\">\n\n<$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"  tag=\"div\">\n\n<$transclude tiddler=<<listItem>> mode=\"block\"/>\n\n</$reveal>\n\n</$list>\n\n</$reveal>\n\n</div>\n\n</$scrollable>\n"
        },
        "$:/core/ui/PageTemplate/story": {
            "title": "$:/core/ui/PageTemplate/story",
            "tags": "$:/tags/PageTemplate",
            "text": "\\whitespace trim\n<section class=\"tc-story-river\">\n\n<section class=\"story-backdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AboveStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n<$list filter=\"[list[$:/StoryList]]\" history=\"$:/HistoryList\" template={{$:/config/ui/ViewTemplate}} editTemplate={{$:/config/ui/EditTemplate}} storyview={{$:/view}} emptyMessage={{$:/config/EmptyStoryMessage}}/>\n\n<section class=\"story-frontdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/BelowStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n</section>\n"
        },
        "$:/core/ui/PageTemplate/topleftbar": {
            "title": "$:/core/ui/PageTemplate/topleftbar",
            "tags": "$:/tags/PageTemplate",
            "text": "<span class=\"tc-topbar tc-topbar-left\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"
        },
        "$:/core/ui/PageTemplate/toprightbar": {
            "title": "$:/core/ui/PageTemplate/toprightbar",
            "tags": "$:/tags/PageTemplate",
            "text": "<span class=\"tc-topbar tc-topbar-right\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopRightBar]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"
        },
        "$:/core/ui/PageTemplate": {
            "title": "$:/core/ui/PageTemplate",
            "text": "\\whitespace trim\n\\define containerClasses()\ntc-page-container tc-page-view-$(storyviewTitle)$ tc-language-$(languageTitle)$\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$set name=\"tv-config-toolbar-icons\" value={{$:/config/Toolbar/Icons}}>\n\n<$set name=\"tv-config-toolbar-text\" value={{$:/config/Toolbar/Text}}>\n\n<$set name=\"tv-config-toolbar-class\" value={{$:/config/Toolbar/ButtonClass}}>\n\n<$set name=\"tv-enable-drag-and-drop\" value={{$:/config/DragAndDrop/Enable}}>\n\n<$set name=\"tv-show-missing-links\" value={{$:/config/MissingLinks}}>\n\n<$set name=\"storyviewTitle\" value={{$:/view}}>\n\n<$set name=\"languageTitle\" value={{{ [{$:/language}get[name]] }}}>\n\n<div class=<<containerClasses>>>\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n\n<$dropzone enable=<<tv-enable-drag-and-drop>>>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageTemplate]!has[draft.of]]\" variable=\"listItem\">\n\n<$transclude tiddler=<<listItem>>/>\n\n</$list>\n\n</$dropzone>\n\n</$navigator>\n\n</div>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n"
        },
        "$:/PaletteManager": {
            "title": "$:/PaletteManager",
            "text": "\\define lingo-base() $:/language/ControlPanel/Palette/Editor/\n\\define describePaletteColour(colour)\n<$transclude tiddler=\"$:/language/Docs/PaletteColours/$colour$\"><$text text=\"$colour$\"/></$transclude>\n\\end\n\\define edit-colour-placeholder()\n edit $(colourName)$\n\\end\n\\define colour-tooltip(showhide) $showhide$ editor for $(newColourName)$ \n\\define resolve-colour(macrocall)\n\\import $:/core/macros/utils\n\\whitespace trim\n<$wikify name=\"name\" text=\"\"\"$macrocall$\"\"\">\n<<name>>\n</$wikify>\n\\end\n\\define delete-colour-index-actions() <$action-setfield $index=<<colourName>>/>\n\\define palette-manager-colour-row-segment()\n\\whitespace trim\n<$edit-text index=<<colourName>> tag=\"input\" placeholder=<<edit-colour-placeholder>> default=\"\"/>\n<br>\n<$edit-text index=<<colourName>> type=\"color\" tag=\"input\" class=\"tc-palette-manager-colour-input\"/>\n<$list filter=\"[<currentTiddler>getindex<colourName>removeprefix[<<]removesuffix[>>]] [<currentTiddler>getindex<colourName>removeprefix[<$]removesuffix[/>]]\" variable=\"ignore\">\n<$set name=\"state\" value={{{ [[$:/state/palettemanager/]addsuffix<currentTiddler>addsuffix[/]addsuffix<colourName>] }}}>\n<$wikify name=\"newColourName\" text=\"\"\"<$macrocall $name=\"resolve-colour\" macrocall={{{ [<currentTiddler>getindex<colourName>] }}}/>\"\"\">\n<$reveal state=<<state>> type=\"nomatch\" text=\"show\">\n<$button tooltip=<<colour-tooltip show>> aria-label=<<colour-tooltip show>> class=\"tc-btn-invisible\" set=<<state>> setTo=\"show\">{{$:/core/images/down-arrow}}&nbsp;<$text text=<<newColourName>>/></$button><br>\n</$reveal>\n<$reveal state=<<state>> type=\"match\" text=\"show\">\n<$button tooltip=<<colour-tooltip hide>> aria-label=<<colour-tooltip show>> class=\"tc-btn-invisible\" actions=\"\"\"<$action-deletetiddler $tiddler=<<state>>/>\"\"\">{{$:/core/images/up-arrow}}&nbsp;<$text text=<<newColourName>>/></$button><br>\n</$reveal>\n<$reveal state=<<state>> type=\"match\" text=\"show\">\n<$set name=\"colourName\" value=<<newColourName>>>\n<br>\n<<palette-manager-colour-row-segment>>\n<br><br>\n</$set>\n</$reveal>\n</$wikify>\n</$set>\n</$list>\n\\end\n\\define palette-manager-colour-row()\n\\whitespace trim\n<tr>\n<td>\n<span style=\"float:right;\">\n<$button tooltip=<<lingo Delete/Hint>> aria-label=<<lingo Delete/Hint>> class=\"tc-btn-invisible\" actions=<<delete-colour-index-actions>>>\n{{$:/core/images/delete-button}}</$button>\n</span>\n''<$macrocall $name=\"describePaletteColour\" colour=<<colourName>>/>''<br/>\n<$macrocall $name=\"colourName\" $output=\"text/plain\"/>\n</td>\n<td>\n<<palette-manager-colour-row-segment>>\n</td>\n</tr>\n\\end\n\\define palette-manager-table()\n\\whitespace trim\n<table>\n<tbody>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Palette]indexes[]]\" variable=\"colourName\">\n<$list filter=\"[<currentTiddler>indexes[]removeprefix<colourName>suffix[]]\" variable=\"ignore\" emptyMessage=\"\"\"\n<$list filter=\"[{$:/state/palettemanager/showexternal}removeprefix[yes]suffix[]]\" variable=\"ignore\">\n<<palette-manager-colour-row>>\n</$list>\n\"\"\">\n<<palette-manager-colour-row>>\n</$list>\n</$list>\n</tbody>\n</table>\n\\end\n<$set name=\"currentTiddler\" value={{$:/palette}}>\n\n<<lingo Prompt>> <$link to={{$:/palette}}><$macrocall $name=\"currentTiddler\" $output=\"text/plain\"/></$link>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\" variable=\"listItem\">\n<<lingo Prompt/Modified>>\n<$button message=\"tm-delete-tiddler\" param={{$:/palette}}><<lingo Reset/Caption>></$button>\n</$list>\n\n<$list filter=\"[all[current]is[shadow]!is[tiddler]]\" variable=\"listItem\">\n<<lingo Clone/Prompt>>\n</$list>\n\n<$button message=\"tm-new-tiddler\" param={{$:/palette}}><<lingo Clone/Caption>></$button>\n\n<$checkbox tiddler=\"$:/state/palettemanager/showexternal\" field=\"text\" checked=\"yes\" unchecked=\"no\">&nbsp;<<lingo Names/External/Show>></$checkbox>\n\n<<palette-manager-table>>\n"
        },
        "$:/core/ui/PluginInfo": {
            "title": "$:/core/ui/PluginInfo",
            "text": "\\define localised-info-tiddler-title()\n$(currentTiddler)$/$(languageTitle)$/$(currentTab)$\n\\end\n\\define info-tiddler-title()\n$(currentTiddler)$/$(currentTab)$\n\\end\n\\define default-tiddler-title()\n$:/core/ui/PluginInfo/Default/$(currentTab)$\n\\end\n<$transclude tiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<default-tiddler-title>> mode=\"block\">\n{{$:/language/ControlPanel/Plugin/NoInfoFound/Hint}}\n</$transclude>\n</$transclude>\n</$transclude>\n</$transclude>\n"
        },
        "$:/core/ui/PluginInfo/Default/contents": {
            "title": "$:/core/ui/PluginInfo/Default/contents",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link />\n</li>\n</$list>\n</ul>\n"
        },
        "$:/core/ui/PluginListItemTemplate": {
            "title": "$:/core/ui/PluginListItemTemplate",
            "text": "<div class=\"tc-menu-list-item\">\n<$link to={{!!title}}><$view field=\"description\"><$view field=\"title\"/></$view></$link>\n</div>"
        },
        "$:/core/ui/SearchResults": {
            "title": "$:/core/ui/SearchResults",
            "text": "<div class=\"tc-search-results\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\"\"\">\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}}/>\n\n</$list>\n\n</div>\n"
        },
        "$:/core/ui/SideBar/More": {
            "title": "$:/core/ui/SideBar/More",
            "tags": "$:/tags/SideBar",
            "caption": "{{$:/language/SideBar/More/Caption}}",
            "text": "<div class=\"tc-more-sidebar\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]\" default={{$:/config/DefaultMoreSidebarTab}} state=\"$:/state/tab/moresidebar\" class=\"tc-vertical tc-sidebar-tabs-more\" />\n</div>"
        },
        "$:/core/ui/SideBar/Open": {
            "title": "$:/core/ui/SideBar/Open",
            "tags": "$:/tags/SideBar",
            "caption": "{{$:/language/SideBar/Open/Caption}}",
            "text": "\\whitespace trim\n\\define lingo-base() $:/language/CloseAll/\n\n\\define drop-actions()\n<$action-listops $tiddler=<<tv-story-list>> $subfilter=\"+[insertbefore:currentTiddler<actionTiddler>]\"/>\n\\end\n\n\\define placeholder()\n<div class=\"tc-droppable-placeholder\"/>\n\\end\n\n\\define droppable-item(button)\n\\whitespace trim\n<$droppable actions=<<drop-actions>> enable=<<tv-allow-drag-and-drop>>>\n<<placeholder>>\n<div>\n$button$\n</div>\n</$droppable>\n\\end\n\n<div class=\"tc-sidebar-tab-open\">\n<$list filter=\"[list<tv-story-list>]\" history=<<tv-history-list>> storyview=\"pop\">\n<div class=\"tc-sidebar-tab-open-item\">\n<$macrocall $name=\"droppable-item\" button=\"\"\"<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=\"tc-btn-invisible tc-btn-mini\">{{$:/core/images/close-button}}</$button>&nbsp;<$link to={{!!title}}><$view field=\"title\"/></$link>\"\"\"/>\n</div>\n</$list>\n<$tiddler tiddler=\"\">\n<div>\n<$macrocall $name=\"droppable-item\" button=\"\"\"<$button message=\"tm-close-all-tiddlers\" class=\"tc-btn-invisible tc-btn-mini\"><<lingo Button>></$button>\"\"\"/>\n</div>\n</$tiddler>\n</div>\n"
        },
        "$:/core/ui/SideBar/Recent": {
            "title": "$:/core/ui/SideBar/Recent",
            "tags": "$:/tags/SideBar",
            "caption": "{{$:/language/SideBar/Recent/Caption}}",
            "text": "<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"
        },
        "$:/core/ui/SideBar/Tools": {
            "title": "$:/core/ui/SideBar/Tools",
            "tags": "$:/tags/SideBar",
            "caption": "{{$:/language/SideBar/Tools/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n\n<<lingo Basics/Version/Prompt>> <<version>>\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n\n<div style=\"position:relative;\" class={{{ [<listItem>encodeuricomponent[]addprefix[tc-btn-]] }}}>\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</div>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"
        },
        "$:/core/ui/SideBarLists": {
            "title": "$:/core/ui/SideBarLists",
            "text": "<$transclude tiddler=\"$:/core/ui/SideBarSegments/search\"/>\n\n<$transclude tiddler=\"$:/core/ui/SideBarSegments/tabs\"/>\n\n"
        },
        "$:/core/ui/SideBarSegments/page-controls": {
            "title": "$:/core/ui/SideBarSegments/page-controls",
            "tags": "$:/tags/SideBarSegment",
            "text": "{{||$:/core/ui/PageTemplate/pagecontrols}}\n"
        },
        "$:/core/ui/SideBarSegments/search": {
            "title": "$:/core/ui/SideBarSegments/search",
            "tags": "$:/tags/SideBarSegment",
            "text": "\\whitespace trim\n<div class=\"tc-sidebar-lists tc-sidebar-search\">\n\n<$set name=\"searchTiddler\" value=\"$:/temp/search\">\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/search\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}} focusPopup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-popup-handle\"/>\n<$reveal state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n<$button tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" text={{$:/temp/search}}/>\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n{{$:/core/images/advanced-search-button}}\n</$button>\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\" />\n{{$:/core/images/close-button}}\n</$button>\n<$button popup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n<$list filter=\"[{$:/temp/search}minlength{$:/config/Search/MinLength}limit[1]]\" variable=\"listItem\">\n<$set name=\"searchTerm\" value={{{ [<searchTiddler>get[text]] }}}>\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[!is[system]search<searchTerm>]\"/>\"\"\">\n{{$:/language/Search/Matches}}\n</$set>\n</$set>\n</$list>\n</$button>\n</$reveal>\n<$reveal state=\"$:/temp/search\" type=\"match\" text=\"\">\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/advanced-search-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown-wrapper\" state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown tc-search-drop-down tc-popup-handle\" state=<<qualify \"$:/state/popup/search-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n\n<$list filter=\"[{$:/temp/search}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n{{$:/core/ui/SearchResults}}\n\n</$list>\n\n</$reveal>\n\n</$reveal>\n\n</$set>\n\n</div>\n"
        },
        "$:/core/ui/SideBarSegments/site-subtitle": {
            "title": "$:/core/ui/SideBarSegments/site-subtitle",
            "tags": "$:/tags/SideBarSegment",
            "text": "<div class=\"tc-site-subtitle\">\n\n<$transclude tiddler=\"$:/SiteSubtitle\" mode=\"inline\"/>\n\n</div>\n"
        },
        "$:/core/ui/SideBarSegments/site-title": {
            "title": "$:/core/ui/SideBarSegments/site-title",
            "tags": "$:/tags/SideBarSegment",
            "text": "<h1 class=\"tc-site-title\">\n\n<$transclude tiddler=\"$:/SiteTitle\" mode=\"inline\"/>\n\n</h1>\n"
        },
        "$:/core/ui/SideBarSegments/tabs": {
            "title": "$:/core/ui/SideBarSegments/tabs",
            "tags": "$:/tags/SideBarSegment",
            "text": "<div class=\"tc-sidebar-lists tc-sidebar-tabs\">\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\" default={{$:/config/DefaultSidebarTab}} state=\"$:/state/tab/sidebar\" class=\"tc-sidebar-tabs-main\"/>\n\n</div>\n"
        },
        "$:/TagManager": {
            "title": "$:/TagManager",
            "icon": "$:/core/images/tag-button",
            "color": "#bbb",
            "text": "\\define lingo-base() $:/language/TagManager/\n\\define iconEditorTab(type)\n\\whitespace trim\n<$link to=\"\"><<lingo Icons/None>></$link>\n<$list filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[sort[title]] +[$type$is[system]]\">\n<$link to={{!!title}}>\n<$transclude/> <$view field=\"title\"/>\n</$link>\n</$list>\n\\end\n\\define iconEditor(title)\n\\whitespace trim\n<div class=\"tc-drop-down-wrapper\">\n<$button popupTitle={{{ [[$:/state/popup/icon/]addsuffix<__title__>] }}} class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal stateTitle={{{ [[$:/state/popup/icon/]addsuffix<__title__>] }}} type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$linkcatcher actions=\"\"\"<$action-setfield $tiddler=<<__title__>> icon=<<navigateTo>>/>\"\"\">\n<<iconEditorTab type:\"!\">>\n<hr/>\n<<iconEditorTab type:\"\">>\n</$linkcatcher>\n</div>\n</$reveal>\n</div>\n\\end\n\\define toggleButton(state)\n\\whitespace trim\n<$reveal stateTitle=<<__state__>> type=\"match\" text=\"closed\" default=\"closed\">\n<$button setTitle=<<__state__>> setTo=\"open\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n{{$:/core/images/info-button}}\n</$button>\n</$reveal>\n<$reveal stateTitle=<<__state__>> type=\"match\" text=\"open\" default=\"closed\">\n<$button setTitle=<<__state__>> setTo=\"closed\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n{{$:/core/images/info-button}}\n</$button>\n</$reveal>\n\\end\n\\whitespace trim\n<table class=\"tc-tag-manager-table\">\n<tbody>\n<tr>\n<th><<lingo Colour/Heading>></th>\n<th class=\"tc-tag-manager-tag\"><<lingo Tag/Heading>></th>\n<th><<lingo Count/Heading>></th>\n<th><<lingo Icon/Heading>></th>\n<th><<lingo Info/Heading>></th>\n</tr>\n<$list filter=\"[tags[]!is[system]sort[title]]\">\n<tr>\n<td><$edit-text field=\"color\" tag=\"input\" type=\"color\"/></td>\n<td>{{||$:/core/ui/TagTemplate}}</td>\n<td><$count filter=\"[all[current]tagging[]]\"/></td>\n<td>\n<$macrocall $name=\"iconEditor\" title={{!!title}}/>\n</td>\n<td>\n<$macrocall $name=\"toggleButton\" state={{{ [[$:/state/tag-manager/]addsuffix<currentTiddler>] }}} /> \n</td>\n</tr>\n<tr>\n<td></td>\n<td colspan=\"4\">\n<$reveal stateTitle={{{ [[$:/state/tag-manager/]addsuffix<currentTiddler>] }}} type=\"match\" text=\"open\" default=\"\">\n<table>\n<tbody>\n<tr><td><<lingo Colour/Heading>></td><td><$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/></td></tr>\n<tr><td><<lingo Icon/Heading>></td><td><$edit-text field=\"icon\" tag=\"input\" size=\"45\"/></td></tr>\n</tbody>\n</table>\n</$reveal>\n</td>\n</tr>\n</$list>\n<tr>\n<td></td>\n<td style=\"position:relative;\">\n{{$:/core/ui/UntaggedTemplate}}\n</td>\n<td>\n<small class=\"tc-menu-list-count\"><$count filter=\"[untagged[]!is[system]] -[tags[]]\"/></small>\n</td>\n<td></td>\n<td></td>\n</tr>\n</tbody>\n</table>\n"
        },
        "$:/core/ui/TagTemplate": {
            "title": "$:/core/ui/TagTemplate",
            "text": "\\whitespace trim\n<span class=\"tc-tag-list-item\">\n<$set name=\"transclusion\" value=<<currentTiddler>>>\n<$macrocall $name=\"tag-pill-body\" tag=<<currentTiddler>> icon={{!!icon}} colour={{!!color}} palette={{$:/palette}} element-tag=\"\"\"$button\"\"\" element-attributes=\"\"\"popup=<<qualify \"$:/state/popup/tag\">> dragFilter='[all[current]tagging[]]' tag='span'\"\"\"/>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\" animate=\"yes\" class=\"tc-drop-down\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</$set>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TagDropdown]!has[draft.of]]\" variable=\"listItem\"> \n<$transclude tiddler=<<listItem>>/> \n</$list>\n<hr>\n<$macrocall $name=\"list-tagged-draggable\" tag=<<currentTiddler>>/>\n</$reveal>\n</$set>\n</span>\n"
        },
        "$:/core/ui/TiddlerFieldTemplate": {
            "title": "$:/core/ui/TiddlerFieldTemplate",
            "text": "<tr class=\"tc-view-field\">\n<td class=\"tc-view-field-name\">\n<$text text=<<listItem>>/>\n</td>\n<td class=\"tc-view-field-value\">\n<$view field=<<listItem>>/>\n</td>\n</tr>"
        },
        "$:/core/ui/TiddlerFields": {
            "title": "$:/core/ui/TiddlerFields",
            "text": "<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"
        },
        "$:/core/ui/TiddlerInfo/Advanced/PluginInfo": {
            "title": "$:/core/ui/TiddlerInfo/Advanced/PluginInfo",
            "tags": "$:/tags/TiddlerInfo/Advanced",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n<$list filter=\"[all[current]has[plugin-type]]\">\n\n! <<lingo Heading>>\n\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</li>\n</$list>\n</ul>\n\n</$list>\n"
        },
        "$:/core/ui/TiddlerInfo/Advanced/ShadowInfo": {
            "title": "$:/core/ui/TiddlerInfo/Advanced/ShadowInfo",
            "tags": "$:/tags/TiddlerInfo/Advanced",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/ShadowInfo/\n<$set name=\"infoTiddler\" value=<<currentTiddler>>>\n\n''<<lingo Heading>>''\n\n<$list filter=\"[all[current]!is[shadow]]\">\n\n<<lingo NotShadow/Hint>>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]]\">\n\n<<lingo Shadow/Hint>>\n\n<$list filter=\"[all[current]shadowsource[]]\">\n\n<$set name=\"pluginTiddler\" value=<<currentTiddler>>>\n<<lingo Shadow/Source>>\n</$set>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\">\n\n<<lingo OverriddenShadow/Hint>>\n\n</$list>\n\n\n</$list>\n</$set>\n"
        },
        "$:/core/ui/TiddlerInfo/Advanced": {
            "title": "$:/core/ui/TiddlerInfo/Advanced",
            "tags": "$:/tags/TiddlerInfo",
            "caption": "{{$:/language/TiddlerInfo/Advanced/Caption}}",
            "text": "<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo/Advanced]!has[draft.of]]\" variable=\"listItem\">\n<$transclude tiddler=<<listItem>>/>\n\n</$list>\n"
        },
        "$:/core/ui/TiddlerInfo/Fields": {
            "title": "$:/core/ui/TiddlerInfo/Fields",
            "tags": "$:/tags/TiddlerInfo",
            "caption": "{{$:/language/TiddlerInfo/Fields/Caption}}",
            "text": "<$transclude tiddler=\"$:/core/ui/TiddlerFields\"/>\n"
        },
        "$:/core/ui/TiddlerInfo/List": {
            "title": "$:/core/ui/TiddlerInfo/List",
            "tags": "$:/tags/TiddlerInfo",
            "caption": "{{$:/language/TiddlerInfo/List/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[list{!!title}]\" emptyMessage=<<lingo List/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
        },
        "$:/core/ui/TiddlerInfo/Listed": {
            "title": "$:/core/ui/TiddlerInfo/Listed",
            "tags": "$:/tags/TiddlerInfo",
            "caption": "{{$:/language/TiddlerInfo/Listed/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]listed[]!is[system]]\" emptyMessage=<<lingo Listed/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
        },
        "$:/core/ui/TiddlerInfo/References": {
            "title": "$:/core/ui/TiddlerInfo/References",
            "tags": "$:/tags/TiddlerInfo",
            "caption": "{{$:/language/TiddlerInfo/References/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]backlinks[]sort[title]]\" emptyMessage=<<lingo References/Empty>> template=\"$:/core/ui/ListItemTemplate\">\n</$list>"
        },
        "$:/core/ui/TiddlerInfo/Tagging": {
            "title": "$:/core/ui/TiddlerInfo/Tagging",
            "tags": "$:/tags/TiddlerInfo",
            "caption": "{{$:/language/TiddlerInfo/Tagging/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]tagging[]]\" emptyMessage=<<lingo Tagging/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
        },
        "$:/core/ui/TiddlerInfo/Tools": {
            "title": "$:/core/ui/TiddlerInfo/Tools",
            "tags": "$:/tags/TiddlerInfo",
            "caption": "{{$:/language/TiddlerInfo/Tools/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\">\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"
        },
        "$:/core/ui/TiddlerInfo": {
            "title": "$:/core/ui/TiddlerInfo",
            "text": "<div style=\"position:relative;\">\n<div class=\"tc-tiddler-controls\" style=\"position:absolute;right:0;\">\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"sticky\">\n<$button set=<<tiddlerInfoState>> setTo=\"\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n</div>\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo]!has[draft.of]]\" default={{$:/config/TiddlerInfo/Default}}/>"
        },
        "$:/core/ui/TopBar/menu": {
            "title": "$:/core/ui/TopBar/menu",
            "tags": "$:/tags/TopRightBar",
            "text": "<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]!match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"no\" tooltip={{$:/language/Buttons/HideSideBar/Hint}} aria-label={{$:/language/Buttons/HideSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}}</$button>\n</$list>\n<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"yes\" tooltip={{$:/language/Buttons/ShowSideBar/Hint}} aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-left}}</$button>\n</$list>\n"
        },
        "$:/core/ui/UntaggedTemplate": {
            "title": "$:/core/ui/UntaggedTemplate",
            "text": "\\define lingo-base() $:/language/SideBar/\n<$button popup=<<qualify \"$:/state/popup/tag\">> class=\"tc-btn-invisible tc-untagged-label tc-tag-label\">\n<<lingo Tags/Untagged/Caption>>\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\">\n<div class=\"tc-drop-down\">\n<$list filter=\"[untagged[]!is[system]] -[tags[]] +[sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n"
        },
        "$:/core/ui/ViewTemplate/body": {
            "title": "$:/core/ui/ViewTemplate/body",
            "tags": "$:/tags/ViewTemplate",
            "text": "<$reveal tag=\"div\" class=\"tc-tiddler-body\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[current]!has[plugin-type]!field:hide-body[yes]]\">\n\n<$transclude>\n\n<$transclude tiddler=\"$:/language/MissingTiddler/Hint\"/>\n\n</$transclude>\n\n</$list>\n\n</$reveal>\n"
        },
        "$:/core/ui/ViewTemplate/classic": {
            "title": "$:/core/ui/ViewTemplate/classic",
            "tags": "$:/tags/ViewTemplate $:/tags/EditTemplate",
            "text": "\\define lingo-base() $:/language/ClassicWarning/\n<$list filter=\"[all[current]type[text/x-tiddlywiki]]\">\n<div class=\"tc-message-box\">\n\n<<lingo Hint>>\n\n<$button set=\"!!type\" setTo=\"text/vnd.tiddlywiki\"><<lingo Upgrade/Caption>></$button>\n\n</div>\n</$list>\n"
        },
        "$:/core/ui/ViewTemplate/import": {
            "title": "$:/core/ui/ViewTemplate/import",
            "tags": "$:/tags/ViewTemplate",
            "text": "\\define lingo-base() $:/language/Import/\n\n\\define buttons()\n<$button message=\"tm-delete-tiddler\" param=<<currentTiddler>>><<lingo Listing/Cancel/Caption>></$button>\n<$button message=\"tm-perform-import\" param=<<currentTiddler>>><<lingo Listing/Import/Caption>></$button>\n<<lingo Listing/Preview>> <$select tiddler=\"$:/state/importpreviewtype\" default=\"$:/core/ui/ImportPreviews/Text\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ImportPreview]!has[draft.of]]\">\n<option value=<<currentTiddler>>>{{!!caption}}</option>\n</$list>\n</$select>\n\\end\n\n<$list filter=\"[all[current]field:plugin-type[import]]\">\n\n<div class=\"tc-import\">\n\n<<lingo Listing/Hint>>\n\n<<buttons>>\n\n{{||$:/core/ui/ImportListing}}\n\n<<buttons>>\n\n</div>\n\n</$list>\n"
        },
        "$:/core/ui/ViewTemplate/plugin": {
            "title": "$:/core/ui/ViewTemplate/plugin",
            "tags": "$:/tags/ViewTemplate",
            "text": "<$list filter=\"[all[current]has[plugin-type]] -[all[current]field:plugin-type[import]]\">\n<$set name=\"plugin-type\" value={{!!plugin-type}}>\n<$set name=\"default-popup-state\" value=\"yes\">\n<$set name=\"qualified-state\" value=<<qualify \"$:/state/plugin-info\">>>\n{{||$:/core/ui/Components/plugin-info}}\n</$set>\n</$set>\n</$set>\n</$list>\n"
        },
        "$:/core/ui/ViewTemplate/subtitle": {
            "title": "$:/core/ui/ViewTemplate/subtitle",
            "tags": "$:/tags/ViewTemplate",
            "text": "\\whitespace trim\n<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-subtitle\">\n<$link to={{!!modifier}} />\n<$view field=\"modified\" format=\"date\" template={{$:/language/Tiddler/DateFormat}}/>\n</div>\n</$reveal>\n"
        },
        "$:/core/ui/ViewTemplate/tags": {
            "title": "$:/core/ui/ViewTemplate/tags",
            "tags": "$:/tags/ViewTemplate",
            "text": "<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-tags-wrapper\"><$list filter=\"[all[current]tags[]sort[title]]\" template=\"$:/core/ui/TagTemplate\" storyview=\"pop\"/></div>\n</$reveal>\n"
        },
        "$:/core/ui/ViewTemplate/title": {
            "title": "$:/core/ui/ViewTemplate/title",
            "tags": "$:/tags/ViewTemplate",
            "text": "\\whitespace trim\n\\define title-styles()\nfill:$(foregroundColor)$;\n\\end\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<span class=\"tc-tiddler-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\"><$transclude tiddler=<<listItem>>/></$set></$reveal></$list>\n</span>\n<$set name=\"tv-wikilinks\" value={{$:/config/Tiddlers/TitleLinks}}>\n<$link>\n<$set name=\"foregroundColor\" value={{!!color}}>\n<span class=\"tc-tiddler-title-icon\" style=<<title-styles>>>\n<$transclude tiddler={{!!icon}}>\n<$transclude tiddler={{$:/config/DefaultTiddlerIcon}}/>\n</$transclude>\n</span>\n</$set>\n<$list filter=\"[all[current]removeprefix[$:/]]\">\n<h2 class=\"tc-title\" title={{$:/language/SystemTiddler/Tooltip}}>\n<span class=\"tc-system-title-prefix\">$:/</span><$text text=<<currentTiddler>>/>\n</h2>\n</$list>\n<$list filter=\"[all[current]!prefix[$:/]]\">\n<h2 class=\"tc-title\">\n<$view field=\"title\"/>\n</h2>\n</$list>\n</$link>\n</$set>\n</div>\n\n<$reveal type=\"nomatch\" text=\"\" default=\"\" state=<<tiddlerInfoState>> class=\"tc-tiddler-info tc-popup-handle\" animate=\"yes\" retain=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfoSegment]!has[draft.of]] [[$:/core/ui/TiddlerInfo]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>> mode=\"block\"/></$list>\n\n</$reveal>\n</div>"
        },
        "$:/core/ui/ViewTemplate/unfold": {
            "title": "$:/core/ui/ViewTemplate/unfold",
            "tags": "$:/tags/ViewTemplate",
            "text": "<$reveal tag=\"div\" type=\"nomatch\" state=\"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar\" text=\"hide\">\n<$reveal tag=\"div\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=\"tc-fold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-up}}\n</$button>\n</$reveal>\n<$reveal tag=\"div\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"show\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=\"tc-unfold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</$reveal>\n"
        },
        "$:/core/ui/ViewTemplate": {
            "title": "$:/core/ui/ViewTemplate",
            "text": "\\define folded-state()\n$:/state/folded/$(currentTiddler)$\n\\end\n\\import [all[shadows+tiddlers]tag[$:/tags/Macro/View]!has[draft.of]]\n<$vars storyTiddler=<<currentTiddler>> tiddlerInfoState=<<qualify \"$:/state/popup/tiddler-info\">>><div data-tiddler-title=<<currentTiddler>> data-tags={{!!tags}} class={{{ tc-tiddler-frame tc-tiddler-view-frame [<currentTiddler>is[tiddler]then[tc-tiddler-exists]] [<currentTiddler>is[missing]!is[shadow]then[tc-tiddler-missing]] [<currentTiddler>is[shadow]then[tc-tiddler-exists tc-tiddler-shadow]] [<currentTiddler>is[shadow]is[tiddler]then[tc-tiddler-overridden-shadow]] [<currentTiddler>is[system]then[tc-tiddler-system]] [{!!class}] [<currentTiddler>tags[]encodeuricomponent[]addprefix[tc-tagged-]] +[join[ ]] }}}><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewTemplate]!has[draft.of]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>>/></$list>\n</div>\n</$vars>\n"
        },
        "$:/core/ui/Buttons/clone": {
            "title": "$:/core/ui/Buttons/clone",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/clone-button}} {{$:/language/Buttons/Clone/Caption}}",
            "description": "{{$:/language/Buttons/Clone/Hint}}",
            "text": "\\whitespace trim\n<$button message=\"tm-new-tiddler\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/Clone/Hint}} aria-label={{$:/language/Buttons/Clone/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/clone-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Clone/Caption}}/>\n</span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/close-others": {
            "title": "$:/core/ui/Buttons/close-others",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/close-others-button}} {{$:/language/Buttons/CloseOthers/Caption}}",
            "description": "{{$:/language/Buttons/CloseOthers/Hint}}",
            "text": "\\whitespace trim\n<$button message=\"tm-close-other-tiddlers\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/CloseOthers/Hint}} aria-label={{$:/language/Buttons/CloseOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/CloseOthers/Caption}}/>\n</span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/close": {
            "title": "$:/core/ui/Buttons/close",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/close-button}} {{$:/language/Buttons/Close/Caption}}",
            "description": "{{$:/language/Buttons/Close/Hint}}",
            "text": "\\whitespace trim\n<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Close/Caption}}/>\n</span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/edit": {
            "title": "$:/core/ui/Buttons/edit",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/edit-button}} {{$:/language/Buttons/Edit/Caption}}",
            "description": "{{$:/language/Buttons/Edit/Hint}}",
            "text": "\\whitespace trim\n<$button message=\"tm-edit-tiddler\" tooltip={{$:/language/Buttons/Edit/Hint}} aria-label={{$:/language/Buttons/Edit/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/edit-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Edit/Caption}}/>\n</span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/export-tiddler": {
            "title": "$:/core/ui/Buttons/export-tiddler",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportTiddler/Caption}}",
            "description": "{{$:/language/Buttons/ExportTiddler/Hint}}",
            "text": "\\define makeExportFilter()\n[[$(currentTiddler)$]]\n\\end\n<$macrocall $name=\"exportButton\" exportFilter=<<makeExportFilter>> lingoBase=\"$:/language/Buttons/ExportTiddler/\" baseFilename=<<currentTiddler>>/>"
        },
        "$:/core/ui/Buttons/fold-bar": {
            "title": "$:/core/ui/Buttons/fold-bar",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/chevron-up}} {{$:/language/Buttons/Fold/FoldBar/Caption}}",
            "description": "{{$:/language/Buttons/Fold/FoldBar/Hint}}",
            "text": "<!-- This dummy toolbar button is here to allow visibility of the fold-bar to be controlled as if it were a toolbar button -->"
        },
        "$:/core/ui/Buttons/fold-others": {
            "title": "$:/core/ui/Buttons/fold-others",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/fold-others-button}} {{$:/language/Buttons/FoldOthers/Caption}}",
            "description": "{{$:/language/Buttons/FoldOthers/Hint}}",
            "text": "\\whitespace trim\n<$button tooltip={{$:/language/Buttons/FoldOthers/Hint}} aria-label={{$:/language/Buttons/FoldOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-other-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/FoldOthers/Caption}}/>\n</span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/fold": {
            "title": "$:/core/ui/Buttons/fold",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/fold-button}} {{$:/language/Buttons/Fold/Caption}}",
            "description": "{{$:/language/Buttons/Fold/Hint}}",
            "text": "\\whitespace trim\n<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Fold/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Unfold/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n"
        },
        "$:/core/ui/Buttons/info": {
            "title": "$:/core/ui/Buttons/info",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/info-button}} {{$:/language/Buttons/Info/Caption}}",
            "description": "{{$:/language/Buttons/Info/Hint}}",
            "text": "\\whitespace trim\n\\define button-content()\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/info-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Info/Caption}}/>\n</span>\n</$list>\n\\end\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"popup\">\n<$button popup=<<tiddlerInfoState>> tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"sticky\">\n<$reveal state=<<tiddlerInfoState>> type=\"match\" text=\"\" default=\"\">\n<$button set=<<tiddlerInfoState>> setTo=\"yes\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n<$reveal state=<<tiddlerInfoState>> type=\"nomatch\" text=\"\" default=\"\">\n<$button set=<<tiddlerInfoState>> setTo=\"\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n</$reveal>"
        },
        "$:/core/ui/Buttons/more-tiddler-actions": {
            "title": "$:/core/ui/Buttons/more-tiddler-actions",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}",
            "description": "{{$:/language/Buttons/More/Hint}}",
            "text": "\\whitespace trim\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/More/Caption}}/>\n</span>\n</$list>\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]] -[[$:/core/ui/Buttons/more-tiddler-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"
        },
        "$:/core/ui/Buttons/new-here": {
            "title": "$:/core/ui/Buttons/new-here",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/new-here-button}} {{$:/language/Buttons/NewHere/Caption}}",
            "description": "{{$:/language/Buttons/NewHere/Hint}}",
            "text": "\\whitespace trim\n\\define newHereActions()\n<$set name=\"tags\" filter=\"[<currentTiddler>] [{$:/config/NewTiddler/Tags!!tags}]\">\n<$action-sendmessage $message=\"tm-new-tiddler\" tags=<<tags>>/>\n</$set>\n\\end\n\\define newHereButton()\n<$button actions=<<newHereActions>> tooltip={{$:/language/Buttons/NewHere/Hint}} aria-label={{$:/language/Buttons/NewHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-here-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewHere/Caption}}/>\n</span>\n</$list>\n</$button>\n\\end\n<<newHereButton>>\n"
        },
        "$:/core/ui/Buttons/new-journal-here": {
            "title": "$:/core/ui/Buttons/new-journal-here",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournalHere/Caption}}",
            "description": "{{$:/language/Buttons/NewJournalHere/Hint}}",
            "text": "\\whitespace trim\n\\define journalButtonTags()\n[[$(currentTiddlerTag)$]] $(journalTags)$\n\\end\n\\define journalButton()\n<$button tooltip={{$:/language/Buttons/NewJournalHere/Hint}} aria-label={{$:/language/Buttons/NewJournalHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$wikify name=\"journalTitle\" text=\"\"\"<$macrocall $name=\"now\" format=<<journalTitleTemplate>>/>\"\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<journalButtonTags>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewJournalHere/Caption}}/>\n</span>\n</$list>\n</$wikify>\n</$button>\n\\end\n<$set name=\"journalTitleTemplate\" value={{$:/config/NewJournal/Title}}>\n<$set name=\"journalTags\" value={{$:/config/NewJournal/Tags!!tags}}>\n<$set name=\"currentTiddlerTag\" value=<<currentTiddler>>>\n<<journalButton>>\n</$set>\n</$set>\n</$set>\n"
        },
        "$:/core/ui/Buttons/open-window": {
            "title": "$:/core/ui/Buttons/open-window",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/open-window}} {{$:/language/Buttons/OpenWindow/Caption}}",
            "description": "{{$:/language/Buttons/OpenWindow/Hint}}",
            "text": "\\whitespace trim\n<$button message=\"tm-open-window\" tooltip={{$:/language/Buttons/OpenWindow/Hint}} aria-label={{$:/language/Buttons/OpenWindow/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/open-window}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/OpenWindow/Caption}}/>\n</span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/permalink": {
            "title": "$:/core/ui/Buttons/permalink",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/permalink-button}} {{$:/language/Buttons/Permalink/Caption}}",
            "description": "{{$:/language/Buttons/Permalink/Hint}}",
            "text": "\\whitespace trim\n<$button message=\"tm-permalink\" tooltip={{$:/language/Buttons/Permalink/Hint}} aria-label={{$:/language/Buttons/Permalink/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/permalink-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Permalink/Caption}}/>\n</span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/permaview": {
            "title": "$:/core/ui/Buttons/permaview",
            "tags": "$:/tags/ViewToolbar $:/tags/PageControls",
            "caption": "{{$:/core/images/permaview-button}} {{$:/language/Buttons/Permaview/Caption}}",
            "description": "{{$:/language/Buttons/Permaview/Hint}}",
            "text": "\\whitespace trim\n<$button message=\"tm-permaview\" tooltip={{$:/language/Buttons/Permaview/Hint}} aria-label={{$:/language/Buttons/Permaview/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/permaview-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Permaview/Caption}}/>\n</span>\n</$list>\n</$button>"
        },
        "$:/DefaultTiddlers": {
            "title": "$:/DefaultTiddlers",
            "text": "GettingStarted\n"
        },
        "$:/temp/advancedsearch": {
            "title": "$:/temp/advancedsearch",
            "text": ""
        },
        "$:/snippets/allfields": {
            "title": "$:/snippets/allfields",
            "text": "\\define renderfield(title)\n<tr class=\"tc-view-field\"><td class=\"tc-view-field-name\">''$title$'':</td><td class=\"tc-view-field-value\">//{{$:/language/Docs/Fields/$title$}}//</td></tr>\n\\end\n<table class=\"tc-view-field-table\"><tbody><$list filter=\"[fields[]sort[title]]\" variable=\"listItem\"><$macrocall $name=\"renderfield\" title=<<listItem>>/></$list>\n</tbody></table>\n"
        },
        "$:/config/AnimationDuration": {
            "title": "$:/config/AnimationDuration",
            "text": "400"
        },
        "$:/config/AutoFocus": {
            "title": "$:/config/AutoFocus",
            "text": "title"
        },
        "$:/config/AutoSave": {
            "title": "$:/config/AutoSave",
            "text": "yes"
        },
        "$:/config/BitmapEditor/Colour": {
            "title": "$:/config/BitmapEditor/Colour",
            "text": "#444"
        },
        "$:/config/BitmapEditor/ImageSizes": {
            "title": "$:/config/BitmapEditor/ImageSizes",
            "text": "[[62px 100px]] [[100px 62px]] [[124px 200px]] [[200px 124px]] [[248px 400px]] [[371px 600px]] [[400px 248px]] [[556px 900px]] [[600px 371px]] [[742px 1200px]] [[900px 556px]] [[1200px 742px]]"
        },
        "$:/config/BitmapEditor/LineWidth": {
            "title": "$:/config/BitmapEditor/LineWidth",
            "text": "3px"
        },
        "$:/config/BitmapEditor/LineWidths": {
            "title": "$:/config/BitmapEditor/LineWidths",
            "text": "0.25px 0.5px 1px 2px 3px 4px 6px 8px 10px 16px 20px 28px 40px 56px 80px"
        },
        "$:/config/BitmapEditor/Opacities": {
            "title": "$:/config/BitmapEditor/Opacities",
            "text": "0.01 0.025 0.05 0.075 0.1 0.15 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0"
        },
        "$:/config/BitmapEditor/Opacity": {
            "title": "$:/config/BitmapEditor/Opacity",
            "text": "1.0"
        },
        "$:/config/DefaultMoreSidebarTab": {
            "title": "$:/config/DefaultMoreSidebarTab",
            "text": "$:/core/ui/MoreSideBar/Tags"
        },
        "$:/config/DefaultSidebarTab": {
            "title": "$:/config/DefaultSidebarTab",
            "text": "$:/core/ui/SideBar/Open"
        },
        "$:/config/DownloadSaver/AutoSave": {
            "title": "$:/config/DownloadSaver/AutoSave",
            "text": "no"
        },
        "$:/config/Drafts/TypingTimeout": {
            "title": "$:/config/Drafts/TypingTimeout",
            "text": "400"
        },
        "$:/config/EditTemplateFields/Visibility/title": {
            "title": "$:/config/EditTemplateFields/Visibility/title",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/tags": {
            "title": "$:/config/EditTemplateFields/Visibility/tags",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/text": {
            "title": "$:/config/EditTemplateFields/Visibility/text",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/creator": {
            "title": "$:/config/EditTemplateFields/Visibility/creator",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/created": {
            "title": "$:/config/EditTemplateFields/Visibility/created",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/modified": {
            "title": "$:/config/EditTemplateFields/Visibility/modified",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/modifier": {
            "title": "$:/config/EditTemplateFields/Visibility/modifier",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/type": {
            "title": "$:/config/EditTemplateFields/Visibility/type",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/draft.title": {
            "title": "$:/config/EditTemplateFields/Visibility/draft.title",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/draft.of": {
            "title": "$:/config/EditTemplateFields/Visibility/draft.of",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/revision": {
            "title": "$:/config/EditTemplateFields/Visibility/revision",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/bag": {
            "title": "$:/config/EditTemplateFields/Visibility/bag",
            "text": "hide"
        },
        "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-4": {
            "title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-4",
            "text": "hide"
        },
        "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-5": {
            "title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-5",
            "text": "hide"
        },
        "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-6": {
            "title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-6",
            "text": "hide"
        },
        "$:/config/EditorTypeMappings/image/gif": {
            "title": "$:/config/EditorTypeMappings/image/gif",
            "text": "bitmap"
        },
        "$:/config/EditorTypeMappings/image/webp": {
            "title": "$:/config/EditorTypeMappings/image/webp",
            "text": "bitmap"
        },
        "$:/config/EditorTypeMappings/image/heic": {
            "title": "$:/config/EditorTypeMappings/image/heic",
            "text": "bitmap"
        },
        "$:/config/EditorTypeMappings/image/heif": {
            "title": "$:/config/EditorTypeMappings/image/heif",
            "text": "bitmap"
        },
        "$:/config/EditorTypeMappings/image/jpeg": {
            "title": "$:/config/EditorTypeMappings/image/jpeg",
            "text": "bitmap"
        },
        "$:/config/EditorTypeMappings/image/jpg": {
            "title": "$:/config/EditorTypeMappings/image/jpg",
            "text": "bitmap"
        },
        "$:/config/EditorTypeMappings/image/png": {
            "title": "$:/config/EditorTypeMappings/image/png",
            "text": "bitmap"
        },
        "$:/config/EditorTypeMappings/image/x-icon": {
            "title": "$:/config/EditorTypeMappings/image/x-icon",
            "text": "bitmap"
        },
        "$:/config/EditorTypeMappings/text/vnd.tiddlywiki": {
            "title": "$:/config/EditorTypeMappings/text/vnd.tiddlywiki",
            "text": "text"
        },
        "$:/config/Manager/Show": {
            "title": "$:/config/Manager/Show",
            "text": "tiddlers"
        },
        "$:/config/Manager/Filter": {
            "title": "$:/config/Manager/Filter",
            "text": ""
        },
        "$:/config/Manager/Order": {
            "title": "$:/config/Manager/Order",
            "text": "forward"
        },
        "$:/config/Manager/Sort": {
            "title": "$:/config/Manager/Sort",
            "text": "title"
        },
        "$:/config/Manager/System": {
            "title": "$:/config/Manager/System",
            "text": "system"
        },
        "$:/config/Manager/Tag": {
            "title": "$:/config/Manager/Tag",
            "text": ""
        },
        "$:/state/popup/manager/item/$:/Manager/ItemMain/RawText": {
            "title": "$:/state/popup/manager/item/$:/Manager/ItemMain/RawText",
            "text": "hide"
        },
        "$:/config/MissingLinks": {
            "title": "$:/config/MissingLinks",
            "text": "yes"
        },
        "$:/config/Navigation/UpdateAddressBar": {
            "title": "$:/config/Navigation/UpdateAddressBar",
            "text": "no"
        },
        "$:/config/Navigation/UpdateHistory": {
            "title": "$:/config/Navigation/UpdateHistory",
            "text": "no"
        },
        "$:/config/NewImageType": {
            "title": "$:/config/NewImageType",
            "text": "jpeg"
        },
        "$:/config/OfficialPluginLibrary": {
            "title": "$:/config/OfficialPluginLibrary",
            "tags": "$:/tags/PluginLibrary",
            "url": "https://tiddlywiki.com/library/v5.1.22/index.html",
            "caption": "{{$:/language/OfficialPluginLibrary}}",
            "text": "{{$:/language/OfficialPluginLibrary/Hint}}\n"
        },
        "$:/config/Navigation/openLinkFromInsideRiver": {
            "title": "$:/config/Navigation/openLinkFromInsideRiver",
            "text": "below"
        },
        "$:/config/Navigation/openLinkFromOutsideRiver": {
            "title": "$:/config/Navigation/openLinkFromOutsideRiver",
            "text": "top"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/close-all": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/close-all",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/encryption": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/encryption",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/export-page": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/export-page",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/fold-all": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/fold-all",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/full-screen": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/full-screen",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/home": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/home",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/refresh": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/refresh",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/import": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/import",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/language": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/language",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/tag-manager": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/tag-manager",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/manager": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/manager",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/more-page-actions": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/more-page-actions",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-journal": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-journal",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-image": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-image",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/palette": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/palette",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/permaview": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/permaview",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/print": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/print",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/storyview": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/storyview",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/timestamp": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/timestamp",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/theme": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/theme",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/unfold-all": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/unfold-all",
            "text": "hide"
        },
        "$:/config/Performance/Instrumentation": {
            "title": "$:/config/Performance/Instrumentation",
            "text": "no"
        },
        "$:/config/RegisterPluginType/plugin": {
            "title": "$:/config/RegisterPluginType/plugin",
            "text": "yes"
        },
        "$:/config/RegisterPluginType/theme": {
            "title": "$:/config/RegisterPluginType/theme",
            "text": "no"
        },
        "$:/config/RegisterPluginType/language": {
            "title": "$:/config/RegisterPluginType/language",
            "text": "no"
        },
        "$:/config/RegisterPluginType/info": {
            "title": "$:/config/RegisterPluginType/info",
            "text": "no"
        },
        "$:/config/RegisterPluginType/import": {
            "title": "$:/config/RegisterPluginType/import",
            "text": "no"
        },
        "$:/config/SaveWikiButton/Template": {
            "title": "$:/config/SaveWikiButton/Template",
            "text": "$:/core/save/all"
        },
        "$:/config/SaverFilter": {
            "title": "$:/config/SaverFilter",
            "text": "[all[]] -[[$:/HistoryList]] -[[$:/StoryList]] -[[$:/Import]] -[[$:/isEncrypted]] -[[$:/UploadName]] -[prefix[$:/state/]] -[prefix[$:/temp/]]"
        },
        "$:/config/Search/AutoFocus": {
            "title": "$:/config/Search/AutoFocus",
            "text": "true"
        },
        "$:/config/Search/MinLength": {
            "title": "$:/config/Search/MinLength",
            "text": "3"
        },
        "$:/config/SearchResults/Default": {
            "title": "$:/config/SearchResults/Default",
            "text": "$:/core/ui/DefaultSearchResultList"
        },
        "$:/config/Server/ExternalFilters/[all[tiddlers]!is[system]sort[title]]": {
            "title": "$:/config/Server/ExternalFilters/[all[tiddlers]!is[system]sort[title]]",
            "text": "yes"
        },
        "$:/config/ShortcutInfo/add-field": {
            "title": "$:/config/ShortcutInfo/add-field",
            "text": "{{$:/language/EditTemplate/Fields/Add/Button/Hint}}"
        },
        "$:/config/ShortcutInfo/advanced-search": {
            "title": "$:/config/ShortcutInfo/advanced-search",
            "text": "{{$:/language/Buttons/AdvancedSearch/Hint}}"
        },
        "$:/config/ShortcutInfo/bold": {
            "title": "$:/config/ShortcutInfo/bold",
            "text": "{{$:/language/Buttons/Bold/Hint}}"
        },
        "$:/config/ShortcutInfo/cancel-edit-tiddler": {
            "title": "$:/config/ShortcutInfo/cancel-edit-tiddler",
            "text": "{{$:/language/Buttons/Cancel/Hint}}"
        },
        "$:/config/ShortcutInfo/excise": {
            "title": "$:/config/ShortcutInfo/excise",
            "text": "{{$:/language/Buttons/Excise/Hint}}"
        },
        "$:/config/ShortcutInfo/heading-1": {
            "title": "$:/config/ShortcutInfo/heading-1",
            "text": "{{$:/language/Buttons/Heading1/Hint}}"
        },
        "$:/config/ShortcutInfo/heading-2": {
            "title": "$:/config/ShortcutInfo/heading-2",
            "text": "{{$:/language/Buttons/Heading2/Hint}}"
        },
        "$:/config/ShortcutInfo/heading-3": {
            "title": "$:/config/ShortcutInfo/heading-3",
            "text": "{{$:/language/Buttons/Heading3/Hint}}"
        },
        "$:/config/ShortcutInfo/heading-4": {
            "title": "$:/config/ShortcutInfo/heading-4",
            "text": "{{$:/language/Buttons/Heading4/Hint}}"
        },
        "$:/config/ShortcutInfo/heading-5": {
            "title": "$:/config/ShortcutInfo/heading-5",
            "text": "{{$:/language/Buttons/Heading5/Hint}}"
        },
        "$:/config/ShortcutInfo/heading-6": {
            "title": "$:/config/ShortcutInfo/heading-6",
            "text": "{{$:/language/Buttons/Heading6/Hint}}"
        },
        "$:/config/ShortcutInfo/italic": {
            "title": "$:/config/ShortcutInfo/italic",
            "text": "{{$:/language/Buttons/Italic/Hint}}"
        },
        "$:/config/ShortcutInfo/link": {
            "title": "$:/config/ShortcutInfo/link",
            "text": "{{$:/language/Buttons/Link/Hint}}"
        },
        "$:/config/ShortcutInfo/list-bullet": {
            "title": "$:/config/ShortcutInfo/list-bullet",
            "text": "{{$:/language/Buttons/ListBullet/Hint}}"
        },
        "$:/config/ShortcutInfo/list-number": {
            "title": "$:/config/ShortcutInfo/list-number",
            "text": "{{$:/language/Buttons/ListNumber/Hint}}"
        },
        "$:/config/ShortcutInfo/mono-block": {
            "title": "$:/config/ShortcutInfo/mono-block",
            "text": "{{$:/language/Buttons/MonoBlock/Hint}}"
        },
        "$:/config/ShortcutInfo/mono-line": {
            "title": "$:/config/ShortcutInfo/mono-line",
            "text": "{{$:/language/Buttons/MonoLine/Hint}}"
        },
        "$:/config/ShortcutInfo/new-image": {
            "title": "$:/config/ShortcutInfo/new-image",
            "text": "{{$:/language/Buttons/NewImage/Hint}}"
        },
        "$:/config/ShortcutInfo/new-journal": {
            "title": "$:/config/ShortcutInfo/new-journal",
            "text": "{{$:/language/Buttons/NewJournal/Hint}}"
        },
        "$:/config/ShortcutInfo/new-tiddler": {
            "title": "$:/config/ShortcutInfo/new-tiddler",
            "text": "{{$:/language/Buttons/NewTiddler/Hint}}"
        },
        "$:/config/ShortcutInfo/picture": {
            "title": "$:/config/ShortcutInfo/picture",
            "text": "{{$:/language/Buttons/Picture/Hint}}"
        },
        "$:/config/ShortcutInfo/preview": {
            "title": "$:/config/ShortcutInfo/preview",
            "text": "{{$:/language/Buttons/Preview/Hint}}"
        },
        "$:/config/ShortcutInfo/quote": {
            "title": "$:/config/ShortcutInfo/quote",
            "text": "{{$:/language/Buttons/Quote/Hint}}"
        },
        "$:/config/ShortcutInfo/save-tiddler": {
            "title": "$:/config/ShortcutInfo/save-tiddler",
            "text": "{{$:/language/Buttons/Save/Hint}}"
        },
        "$:/config/ShortcutInfo/sidebar-search": {
            "title": "$:/config/ShortcutInfo/sidebar-search",
            "text": "{{$:/language/Buttons/SidebarSearch/Hint}}"
        },
        "$:/config/ShortcutInfo/stamp": {
            "title": "$:/config/ShortcutInfo/stamp",
            "text": "{{$:/language/Buttons/Stamp/Hint}}"
        },
        "$:/config/ShortcutInfo/strikethrough": {
            "title": "$:/config/ShortcutInfo/strikethrough",
            "text": "{{$:/language/Buttons/Strikethrough/Hint}}"
        },
        "$:/config/ShortcutInfo/subscript": {
            "title": "$:/config/ShortcutInfo/subscript",
            "text": "{{$:/language/Buttons/Subscript/Hint}}"
        },
        "$:/config/ShortcutInfo/superscript": {
            "title": "$:/config/ShortcutInfo/superscript",
            "text": "{{$:/language/Buttons/Superscript/Hint}}"
        },
        "$:/config/ShortcutInfo/toggle-sidebar": {
            "title": "$:/config/ShortcutInfo/toggle-sidebar",
            "text": "{{$:/language/Buttons/ToggleSidebar/Hint}}"
        },
        "$:/config/ShortcutInfo/underline": {
            "title": "$:/config/ShortcutInfo/underline",
            "text": "{{$:/language/Buttons/Underline/Hint}}"
        },
        "$:/config/SyncFilter": {
            "title": "$:/config/SyncFilter",
            "text": "[is[tiddler]] -[[$:/HistoryList]] -[[$:/Import]] -[[$:/isEncrypted]] -[prefix[$:/status/]] -[prefix[$:/state/]] -[prefix[$:/temp/]]"
        },
        "$:/config/Tags/MinLength": {
            "title": "$:/config/Tags/MinLength",
            "text": "0"
        },
        "$:/config/TextEditor/EditorHeight/Height": {
            "title": "$:/config/TextEditor/EditorHeight/Height",
            "text": "400px"
        },
        "$:/config/TextEditor/EditorHeight/Mode": {
            "title": "$:/config/TextEditor/EditorHeight/Mode",
            "text": "auto"
        },
        "$:/config/TiddlerInfo/Default": {
            "title": "$:/config/TiddlerInfo/Default",
            "text": "$:/core/ui/TiddlerInfo/Fields"
        },
        "$:/config/TiddlerInfo/Mode": {
            "title": "$:/config/TiddlerInfo/Mode",
            "text": "popup"
        },
        "$:/config/Tiddlers/TitleLinks": {
            "title": "$:/config/Tiddlers/TitleLinks",
            "text": "no"
        },
        "$:/config/Toolbar/ButtonClass": {
            "title": "$:/config/Toolbar/ButtonClass",
            "text": "tc-btn-invisible"
        },
        "$:/config/Toolbar/Icons": {
            "title": "$:/config/Toolbar/Icons",
            "text": "yes"
        },
        "$:/config/Toolbar/Text": {
            "title": "$:/config/Toolbar/Text",
            "text": "no"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions",
            "text": "show"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others",
            "text": "hide"
        },
        "$:/config/shortcuts-mac/bold": {
            "title": "$:/config/shortcuts-mac/bold",
            "text": "meta-B"
        },
        "$:/config/shortcuts-mac/italic": {
            "title": "$:/config/shortcuts-mac/italic",
            "text": "meta-I"
        },
        "$:/config/shortcuts-mac/underline": {
            "title": "$:/config/shortcuts-mac/underline",
            "text": "meta-U"
        },
        "$:/config/shortcuts-mac/new-image": {
            "title": "$:/config/shortcuts-mac/new-image",
            "text": "ctrl-I"
        },
        "$:/config/shortcuts-mac/new-journal": {
            "title": "$:/config/shortcuts-mac/new-journal",
            "text": "ctrl-J"
        },
        "$:/config/shortcuts-mac/new-tiddler": {
            "title": "$:/config/shortcuts-mac/new-tiddler",
            "text": "ctrl-N"
        },
        "$:/config/shortcuts-not-mac/bold": {
            "title": "$:/config/shortcuts-not-mac/bold",
            "text": "ctrl-B"
        },
        "$:/config/shortcuts-not-mac/italic": {
            "title": "$:/config/shortcuts-not-mac/italic",
            "text": "ctrl-I"
        },
        "$:/config/shortcuts-not-mac/underline": {
            "title": "$:/config/shortcuts-not-mac/underline",
            "text": "ctrl-U"
        },
        "$:/config/shortcuts-not-mac/new-image": {
            "title": "$:/config/shortcuts-not-mac/new-image",
            "text": "alt-I"
        },
        "$:/config/shortcuts-not-mac/new-journal": {
            "title": "$:/config/shortcuts-not-mac/new-journal",
            "text": "alt-J"
        },
        "$:/config/shortcuts-not-mac/new-tiddler": {
            "title": "$:/config/shortcuts-not-mac/new-tiddler",
            "text": "alt-N"
        },
        "$:/config/shortcuts/add-field": {
            "title": "$:/config/shortcuts/add-field",
            "text": "enter"
        },
        "$:/config/shortcuts/advanced-search": {
            "title": "$:/config/shortcuts/advanced-search",
            "text": "ctrl-shift-A"
        },
        "$:/config/shortcuts/cancel-edit-tiddler": {
            "title": "$:/config/shortcuts/cancel-edit-tiddler",
            "text": "escape"
        },
        "$:/config/shortcuts/excise": {
            "title": "$:/config/shortcuts/excise",
            "text": "ctrl-E"
        },
        "$:/config/shortcuts/sidebar-search": {
            "title": "$:/config/shortcuts/sidebar-search",
            "text": "ctrl-shift-F"
        },
        "$:/config/shortcuts/heading-1": {
            "title": "$:/config/shortcuts/heading-1",
            "text": "ctrl-1"
        },
        "$:/config/shortcuts/heading-2": {
            "title": "$:/config/shortcuts/heading-2",
            "text": "ctrl-2"
        },
        "$:/config/shortcuts/heading-3": {
            "title": "$:/config/shortcuts/heading-3",
            "text": "ctrl-3"
        },
        "$:/config/shortcuts/heading-4": {
            "title": "$:/config/shortcuts/heading-4",
            "text": "ctrl-4"
        },
        "$:/config/shortcuts/heading-5": {
            "title": "$:/config/shortcuts/heading-5",
            "text": "ctrl-5"
        },
        "$:/config/shortcuts/heading-6": {
            "title": "$:/config/shortcuts/heading-6",
            "text": "ctrl-6"
        },
        "$:/config/shortcuts/link": {
            "title": "$:/config/shortcuts/link",
            "text": "ctrl-L"
        },
        "$:/config/shortcuts/linkify": {
            "title": "$:/config/shortcuts/linkify",
            "text": "alt-shift-L"
        },
        "$:/config/shortcuts/list-bullet": {
            "title": "$:/config/shortcuts/list-bullet",
            "text": "ctrl-shift-L"
        },
        "$:/config/shortcuts/list-number": {
            "title": "$:/config/shortcuts/list-number",
            "text": "ctrl-shift-N"
        },
        "$:/config/shortcuts/mono-block": {
            "title": "$:/config/shortcuts/mono-block",
            "text": "ctrl-shift-M"
        },
        "$:/config/shortcuts/mono-line": {
            "title": "$:/config/shortcuts/mono-line",
            "text": "ctrl-M"
        },
        "$:/config/shortcuts/picture": {
            "title": "$:/config/shortcuts/picture",
            "text": "ctrl-shift-I"
        },
        "$:/config/shortcuts/preview": {
            "title": "$:/config/shortcuts/preview",
            "text": "alt-P"
        },
        "$:/config/shortcuts/quote": {
            "title": "$:/config/shortcuts/quote",
            "text": "ctrl-Q"
        },
        "$:/config/shortcuts/save-tiddler": {
            "title": "$:/config/shortcuts/save-tiddler",
            "text": "ctrl+enter"
        },
        "$:/config/shortcuts/stamp": {
            "title": "$:/config/shortcuts/stamp",
            "text": "ctrl-S"
        },
        "$:/config/shortcuts/strikethrough": {
            "title": "$:/config/shortcuts/strikethrough",
            "text": "ctrl-T"
        },
        "$:/config/shortcuts/subscript": {
            "title": "$:/config/shortcuts/subscript",
            "text": "ctrl-shift-B"
        },
        "$:/config/shortcuts/superscript": {
            "title": "$:/config/shortcuts/superscript",
            "text": "ctrl-shift-P"
        },
        "$:/config/shortcuts/toggle-sidebar": {
            "title": "$:/config/shortcuts/toggle-sidebar",
            "text": "alt-shift-S"
        },
        "$:/config/shortcuts/transcludify": {
            "title": "$:/config/shortcuts/transcludify",
            "text": "alt-shift-T"
        },
        "$:/config/ui/EditTemplate": {
            "title": "$:/config/ui/EditTemplate",
            "text": "$:/core/ui/EditTemplate"
        },
        "$:/config/ui/ViewTemplate": {
            "title": "$:/config/ui/ViewTemplate",
            "text": "$:/core/ui/ViewTemplate"
        },
        "$:/config/WikiParserRules/Inline/wikilink": {
            "title": "$:/config/WikiParserRules/Inline/wikilink",
            "text": "enable"
        },
        "$:/snippets/currpalettepreview": {
            "title": "$:/snippets/currpalettepreview",
            "text": "\\define swatchStyle()\nbackground-color: $(swatchColour)$;\n\\end\n\\define swatch()\n<$set name=\"swatchColour\" value={{##$(colour)$}}\n><div class=\"tc-swatch\" style=<<swatchStyle>> title=<<colour>>/></$set>\n\\end\n<div class=\"tc-swatches-horiz\"><$list filter=\"\nforeground\nbackground\nmuted-foreground\nprimary\npage-background\ntab-background\ntiddler-info-background\n\" variable=\"colour\"><<swatch>></$list></div>"
        },
        "$:/snippets/download-wiki-button": {
            "title": "$:/snippets/download-wiki-button",
            "text": "\\define lingo-base() $:/language/ControlPanel/Tools/Download/\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-download-file\" $param=\"$:/core/save/all\" filename=\"index.html\"/>\n<<lingo Full/Caption>> {{$:/core/images/save-button}}\n</$button>"
        },
        "$:/language": {
            "title": "$:/language",
            "text": "$:/languages/en-GB"
        },
        "$:/snippets/languageswitcher": {
            "title": "$:/snippets/languageswitcher",
            "text": "\\define flag-title()\n$(languagePluginTitle)$/icon\n\\end\n\n<$linkcatcher to=\"$:/language\">\n<div class=\"tc-chooser tc-language-chooser\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[description]]\">\n<$set name=\"cls\" filter=\"[all[current]field:title{$:/language}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>>\n<$link>\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value=<<currentTiddler>>>\n<$transclude subtiddler=<<flag-title>>>\n<$list filter=\"[all[current]field:title[$:/languages/en-GB]]\">\n<$transclude tiddler=\"$:/languages/en-GB/icon\"/>\n</$list>\n</$transclude>\n</$set>\n</span>\n<$view field=\"description\">\n<$view field=\"name\">\n<$view field=\"title\"/>\n</$view>\n</$view>\n</$link>\n</div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
        },
        "$:/core/macros/CSS": {
            "title": "$:/core/macros/CSS",
            "tags": "$:/tags/Macro",
            "text": "\\define colour(name)\n<$transclude tiddler={{$:/palette}} index=\"$name$\"><$transclude tiddler=\"$:/palettes/Vanilla\" index=\"$name$\"><$transclude tiddler=\"$:/config/DefaultColourMappings/$name$\"/></$transclude></$transclude>\n\\end\n\n\\define color(name)\n<<colour $name$>>\n\\end\n\n\\define box-shadow(shadow)\n``\n  -webkit-box-shadow: $shadow$;\n     -moz-box-shadow: $shadow$;\n          box-shadow: $shadow$;\n``\n\\end\n\n\\define filter(filter)\n``\n  -webkit-filter: $filter$;\n     -moz-filter: $filter$;\n          filter: $filter$;\n``\n\\end\n\n\\define transition(transition)\n``\n  -webkit-transition: $transition$;\n     -moz-transition: $transition$;\n          transition: $transition$;\n``\n\\end\n\n\\define transform-origin(origin)\n``\n  -webkit-transform-origin: $origin$;\n     -moz-transform-origin: $origin$;\n          transform-origin: $origin$;\n``\n\\end\n\n\\define background-linear-gradient(gradient)\n``\nbackground-image: linear-gradient($gradient$);\nbackground-image: -o-linear-gradient($gradient$);\nbackground-image: -moz-linear-gradient($gradient$);\nbackground-image: -webkit-linear-gradient($gradient$);\nbackground-image: -ms-linear-gradient($gradient$);\n``\n\\end\n\n\\define column-count(columns)\n``\n-moz-column-count: $columns$;\n-webkit-column-count: $columns$;\ncolumn-count: $columns$;\n``\n\\end\n\n\\define datauri(title)\n<$macrocall $name=\"makedatauri\" type={{$title$!!type}} text={{$title$}} _canonical_uri={{$title$!!_canonical_uri}}/>\n\\end\n\n\\define if-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n\n\\define if-no-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n\n\\define if-background-attachment(text)\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" type=\"nomatch\" text=\"\">$text$</$reveal>\n\\end\n"
        },
        "$:/core/macros/colour-picker": {
            "title": "$:/core/macros/colour-picker",
            "tags": "$:/tags/Macro",
            "text": "\\define colour-picker-update-recent()\n<$action-listops\n\t$tiddler=\"$:/config/ColourPicker/Recent\"\n\t$subfilter=\"$(colour-picker-value)$ [list[$:/config/ColourPicker/Recent]remove[$(colour-picker-value)$]] +[limit[8]]\"\n/>\n\\end\n\n\\define colour-picker-inner(actions)\n<$button tag=\"a\" tooltip=\"\"\"$(colour-picker-value)$\"\"\">\n\n$(colour-picker-update-recent)$\n\n$actions$\n\n<span style=\"display:inline-block; background-color: $(colour-picker-value)$; width: 100%; height: 100%; border-radius: 50%;\"/>\n\n</$button>\n\\end\n\n\\define colour-picker-recent-inner(actions)\n<$set name=\"colour-picker-value\" value=\"$(recentColour)$\">\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$set>\n\\end\n\n\\define colour-picker-recent(actions)\n{{$:/language/ColourPicker/Recent}} <$list filter=\"[list[$:/config/ColourPicker/Recent]]\" variable=\"recentColour\">\n<$macrocall $name=\"colour-picker-recent-inner\" actions=\"\"\"$actions$\"\"\"/></$list>\n\\end\n\n\\define colour-picker(actions)\n<div class=\"tc-colour-chooser\">\n\n<$macrocall $name=\"colour-picker-recent\" actions=\"\"\"$actions$\"\"\"/>\n\n---\n\n<$list filter=\"LightPink Pink Crimson LavenderBlush PaleVioletRed HotPink DeepPink MediumVioletRed Orchid Thistle Plum Violet Magenta Fuchsia DarkMagenta Purple MediumOrchid DarkViolet DarkOrchid Indigo BlueViolet MediumPurple MediumSlateBlue SlateBlue DarkSlateBlue Lavender GhostWhite Blue MediumBlue MidnightBlue DarkBlue Navy RoyalBlue CornflowerBlue LightSteelBlue LightSlateGrey SlateGrey DodgerBlue AliceBlue SteelBlue LightSkyBlue SkyBlue DeepSkyBlue LightBlue PowderBlue CadetBlue Azure LightCyan PaleTurquoise Cyan Aqua DarkTurquoise DarkSlateGrey DarkCyan Teal MediumTurquoise LightSeaGreen Turquoise Aquamarine MediumAquamarine MediumSpringGreen MintCream SpringGreen MediumSeaGreen SeaGreen Honeydew LightGreen PaleGreen DarkSeaGreen LimeGreen Lime ForestGreen Green DarkGreen Chartreuse LawnGreen GreenYellow DarkOliveGreen YellowGreen OliveDrab Beige LightGoldenrodYellow Ivory LightYellow Yellow Olive DarkKhaki LemonChiffon PaleGoldenrod Khaki Gold Cornsilk Goldenrod DarkGoldenrod FloralWhite OldLace Wheat Moccasin Orange PapayaWhip BlanchedAlmond NavajoWhite AntiqueWhite Tan BurlyWood Bisque DarkOrange Linen Peru PeachPuff SandyBrown Chocolate SaddleBrown Seashell Sienna LightSalmon Coral OrangeRed DarkSalmon Tomato MistyRose Salmon Snow LightCoral RosyBrown IndianRed Red Brown FireBrick DarkRed Maroon White WhiteSmoke Gainsboro LightGrey Silver DarkGrey Grey DimGrey Black\" variable=\"colour-picker-value\">\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$list>\n\n---\n\n<$edit-text tiddler=\"$:/config/ColourPicker/New\" tag=\"input\" default=\"\" placeholder=\"\"/>\n<$edit-text tiddler=\"$:/config/ColourPicker/New\" type=\"color\" tag=\"input\"/>\n<$set name=\"colour-picker-value\" value={{$:/config/ColourPicker/New}}>\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$set>\n\n</div>\n\n\\end\n"
        },
        "$:/core/macros/copy-to-clipboard": {
            "title": "$:/core/macros/copy-to-clipboard",
            "tags": "$:/tags/Macro",
            "text": "\\define copy-to-clipboard(src,class:\"tc-btn-invisible\",style)\n<$button class=<<__class__>> style=<<__style__>> message=\"tm-copy-to-clipboard\" param=<<__src__>> tooltip={{$:/language/Buttons/CopyToClipboard/Hint}}>\n{{$:/core/images/copy-clipboard}} <$text text={{$:/language/Buttons/CopyToClipboard/Caption}}/>\n</$button>\n\\end\n\n\\define copy-to-clipboard-above-right(src,class:\"tc-btn-invisible\",style)\n<div style=\"position: relative;\">\n<div style=\"position: absolute; bottom: 0; right: 0;\">\n<$macrocall $name=\"copy-to-clipboard\" src=<<__src__>> class=<<__class__>> style=<<__style__>>/>\n</div>\n</div>\n\\end\n\n"
        },
        "$:/core/macros/diff": {
            "title": "$:/core/macros/diff",
            "tags": "$:/tags/Macro",
            "text": "\\define compareTiddlerText(sourceTiddlerTitle,sourceSubTiddlerTitle,destTiddlerTitle,destSubTiddlerTitle)\n<$set name=\"source\" tiddler=<<__sourceTiddlerTitle__>> subtiddler=<<__sourceSubTiddlerTitle__>>>\n<$set name=\"dest\" tiddler=<<__destTiddlerTitle__>> subtiddler=<<__destSubTiddlerTitle__>>>\n<$diff-text source=<<source>> dest=<<dest>>/>\n</$set>\n</$set>\n\\end\n\n\\define compareTiddlers(sourceTiddlerTitle,sourceSubTiddlerTitle,destTiddlerTitle,destSubTiddlerTitle,exclude)\n<table class=\"tc-diff-tiddlers\">\n<tbody>\n<$set name=\"sourceFields\" filter=\"[<__sourceTiddlerTitle__>fields[]sort[]]\">\n<$set name=\"destFields\" filter=\"[<__destSubTiddlerTitle__>subtiddlerfields<__destTiddlerTitle__>sort[]]\">\n<$list filter=\"[enlist<sourceFields>] [enlist<destFields>] -[enlist<__exclude__>] +[sort[]]\" variable=\"fieldName\">\n<tr>\n<th>\n<$text text=<<fieldName>>/> \n</th>\n<td>\n<$set name=\"source\" tiddler=<<__sourceTiddlerTitle__>> subtiddler=<<__sourceSubTiddlerTitle__>> field=<<fieldName>>>\n<$set name=\"dest\" tiddler=<<__destTiddlerTitle__>> subtiddler=<<__destSubTiddlerTitle__>> field=<<fieldName>>>\n<$diff-text source=<<source>> dest=<<dest>>>\n</$diff-text>\n</$set>\n</$set>\n</td>\n</tr>\n</$list>\n</$set>\n</$set>\n</tbody>\n</table>\n\\end\n"
        },
        "$:/core/macros/dumpvariables": {
            "title": "$:/core/macros/dumpvariables",
            "tags": "$:/tags/Macro",
            "text": "\\define dumpvariables()\n<ul>\n<$list filter=\"[variables[]]\" variable=\"varname\">\n<li>\n<strong><code><$text text=<<varname>>/></code></strong>:<br/>\n<$codeblock code={{{ [<varname>getvariable[]] }}}/>\n</li>\n</$list>\n</ul>\n\\end\n"
        },
        "$:/core/macros/export": {
            "title": "$:/core/macros/export",
            "tags": "$:/tags/Macro",
            "text": "\\define exportButtonFilename(baseFilename)\n$baseFilename$$(extension)$\n\\end\n\n\\define exportButton(exportFilter:\"[!is[system]sort[title]]\",lingoBase,baseFilename:\"tiddlers\")\n<span class=\"tc-popup-keep\"><$button popup=<<qualify \"$:/state/popup/export\">> tooltip={{$lingoBase$Hint}} aria-label={{$lingoBase$Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/export-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$lingoBase$Caption}}/></span>\n</$list>\n</$button></span><$reveal state=<<qualify \"$:/state/popup/export\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Exporter]]\">\n<$set name=\"extension\" value={{!!extension}}>\n<$button class=\"tc-btn-invisible\">\n<$action-sendmessage $message=\"tm-download-file\" $param=<<currentTiddler>> exportFilter=\"\"\"$exportFilter$\"\"\" filename=<<exportButtonFilename \"\"\"$baseFilename$\"\"\">>/>\n<$action-deletetiddler $tiddler=<<qualify \"$:/state/popup/export\">>/>\n<$transclude field=\"description\"/>\n</$button>\n</$set>\n</$list>\n</div>\n</$reveal>\n\\end\n"
        },
        "$:/core/macros/image-picker": {
            "title": "$:/core/macros/image-picker",
            "created": "20170715180840889",
            "modified": "20170715180914005",
            "tags": "$:/tags/Macro",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define image-picker-thumbnail(actions)\n<$button tag=\"a\" tooltip=\"\"\"$(imageTitle)$\"\"\">\n$actions$\n<$transclude tiddler=<<imageTitle>>/>\n</$button>\n\\end\n\n\\define image-picker-list(filter,actions)\n<$list filter=\"\"\"$filter$\"\"\" variable=\"imageTitle\">\n<$macrocall $name=\"image-picker-thumbnail\" actions=\"\"\"$actions$\"\"\"/>\n</$list>\n\\end\n\n\\define image-picker(actions,filter:\"[all[shadows+tiddlers]is[image]] -[type[application/pdf]] +[!has[draft.of]$subfilter$sort[title]]\",subfilter:\"\")\n<div class=\"tc-image-chooser\">\n<$vars state-system=<<qualify \"$:/state/image-picker/system\">>>\n<$checkbox tiddler=<<state-system>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"hide\">\n{{$:/language/SystemTiddlers/Include/Prompt}}\n</$checkbox>\n<$reveal state=<<state-system>> type=\"match\" text=\"hide\" default=\"hide\" tag=\"div\">\n<$macrocall $name=\"image-picker-list\" filter=\"\"\"$filter$ +[!is[system]]\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</$reveal>\n<$reveal state=<<state-system>> type=\"nomatch\" text=\"hide\" default=\"hide\" tag=\"div\">\n<$macrocall $name=\"image-picker-list\" filter=\"\"\"$filter$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</$reveal>\n</$vars>\n</div>\n\\end\n\n\\define image-picker-include-tagged-images(actions)\n<$macrocall $name=\"image-picker\" filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[!has[draft.of]sort[title]]\" actions=\"\"\"$actions$\"\"\"/>\n\\end\n"
        },
        "$:/core/macros/lingo": {
            "title": "$:/core/macros/lingo",
            "tags": "$:/tags/Macro",
            "text": "\\define lingo-base()\n$:/language/\n\\end\n\n\\define lingo(title)\n{{$(lingo-base)$$title$}}\n\\end\n"
        },
        "$:/core/macros/list": {
            "title": "$:/core/macros/list",
            "tags": "$:/tags/Macro",
            "text": "\\define list-links(filter,type:\"ul\",subtype:\"li\",class:\"\",emptyMessage)\n\\whitespace trim\n<$type$ class=\"$class$\">\n<$list filter=\"$filter$\" emptyMessage=<<__emptyMessage__>>>\n<$subtype$>\n<$link to={{!!title}}>\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$link>\n</$subtype$>\n</$list>\n</$type$>\n\\end\n\n\\define list-links-draggable-drop-actions()\n<$action-listops $tiddler=<<targetTiddler>> $field=<<targetField>> $subfilter=\"+[insertbefore:currentTiddler<actionTiddler>]\"/>\n\\end\n\n\\define list-links-draggable(tiddler,field:\"list\",type:\"ul\",subtype:\"li\",class:\"\",itemTemplate)\n\\whitespace trim\n<span class=\"tc-links-draggable-list\">\n<$vars targetTiddler=\"\"\"$tiddler$\"\"\" targetField=\"\"\"$field$\"\"\">\n<$type$ class=\"$class$\">\n<$list filter=\"[list[$tiddler$!!$field$]]\">\n<$droppable actions=<<list-links-draggable-drop-actions>> tag=\"\"\"$subtype$\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<div class=\"tc-droppable-placeholder\"/>\n<div>\n<$transclude tiddler=\"\"\"$itemTemplate$\"\"\">\n<$link to={{!!title}}>\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$link>\n</$transclude>\n</div>\n</$droppable>\n</$list>\n</$type$>\n<$tiddler tiddler=\"\">\n<$droppable actions=<<list-links-draggable-drop-actions>> tag=\"div\" enable=<<tv-enable-drag-and-drop>>>\n<div class=\"tc-droppable-placeholder\">\n&nbsp;\n</div>\n<div style=\"height:0.5em;\"/>\n</$droppable>\n</$tiddler>\n</$vars>\n</span>\n\\end\n\n\\define list-tagged-draggable-drop-actions(tag)\n<!-- Save the current ordering of the tiddlers with this tag -->\n<$set name=\"order\" filter=\"[<__tag__>tagging[]]\">\n<!-- Remove any list-after or list-before fields from the tiddlers with this tag -->\n<$list filter=\"[<__tag__>tagging[]]\">\n<$action-deletefield $field=\"list-before\"/>\n<$action-deletefield $field=\"list-after\"/>\n</$list>\n<!-- Save the new order to the Tag Tiddler -->\n<$action-listops $tiddler=<<__tag__>> $field=\"list\" $filter=\"+[enlist<order>] +[insertbefore:currentTiddler<actionTiddler>]\"/>\n<!-- Make sure the newly added item has the right tag -->\n<!-- Removing this line makes dragging tags within the dropdown work as intended -->\n<!--<$action-listops $tiddler=<<actionTiddler>> $tags=<<__tag__>>/>-->\n<!-- Using the following 5 lines as replacement makes dragging titles from outside into the dropdown apply the tag -->\n<$list filter=\"[<actionTiddler>!contains:tags<__tag__>]\">\n<$fieldmangler tiddler=<<actionTiddler>>>\n<$action-sendmessage $message=\"tm-add-tag\" $param=<<__tag__>>/>\n</$fieldmangler>\n</$list>\n</$set>\n\\end\n\n\\define list-tagged-draggable(tag,subFilter,emptyMessage,itemTemplate,elementTag:\"div\",storyview:\"\")\n\\whitespace trim\n<span class=\"tc-tagged-draggable-list\">\n<$set name=\"tag\" value=<<__tag__>>>\n<$list filter=\"[<__tag__>tagging[]$subFilter$]\" emptyMessage=<<__emptyMessage__>> storyview=<<__storyview__>>>\n<$elementTag$ class=\"tc-menu-list-item\">\n<$droppable actions=\"\"\"<$macrocall $name=\"list-tagged-draggable-drop-actions\" tag=<<__tag__>>/>\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<$elementTag$ class=\"tc-droppable-placeholder\"/>\n<$elementTag$>\n<$transclude tiddler=\"\"\"$itemTemplate$\"\"\">\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</$transclude>\n</$elementTag$>\n</$droppable>\n</$elementTag$>\n</$list>\n<$tiddler tiddler=\"\">\n<$droppable actions=\"\"\"<$macrocall $name=\"list-tagged-draggable-drop-actions\" tag=<<__tag__>>/>\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<$elementTag$ class=\"tc-droppable-placeholder\"/>\n<$elementTag$ style=\"height:0.5em;\">\n</$elementTag$>\n</$droppable>\n</$tiddler>\n</$set>\n</span>\n\\end\n"
        },
        "$:/core/macros/tabs": {
            "title": "$:/core/macros/tabs",
            "tags": "$:/tags/Macro",
            "text": "\\define tabs(tabsList,default,state:\"$:/state/tab\",class,template,buttonTemplate,retain)\n<div class=\"tc-tab-set $class$\">\n<div class=\"tc-tab-buttons $class$\">\n<$list filter=\"$tabsList$\" variable=\"currentTab\" storyview=\"pop\"><$set name=\"save-currentTiddler\" value=<<currentTiddler>>><$tiddler tiddler=<<currentTab>>><$button set=<<qualify \"$state$\">> setTo=<<currentTab>> default=\"$default$\" selectedClass=\"tc-tab-selected\" tooltip={{!!tooltip}}>\n<$tiddler tiddler=<<save-currentTiddler>>>\n<$set name=\"tv-wikilinks\" value=\"no\">\n<$transclude tiddler=\"$buttonTemplate$\" mode=\"inline\">\n<$transclude tiddler=<<currentTab>> field=\"caption\">\n<$macrocall $name=\"currentTab\" $type=\"text/plain\" $output=\"text/plain\"/>\n</$transclude>\n</$transclude>\n</$set></$tiddler></$button></$tiddler></$set></$list>\n</div>\n<div class=\"tc-tab-divider $class$\"/>\n<div class=\"tc-tab-content $class$\">\n<$list filter=\"$tabsList$\" variable=\"currentTab\">\n\n<$reveal type=\"match\" state=<<qualify \"$state$\">> text=<<currentTab>> default=\"$default$\" retain=\"\"\"$retain$\"\"\">\n\n<$transclude tiddler=\"$template$\" mode=\"block\">\n\n<$transclude tiddler=<<currentTab>> mode=\"block\"/>\n\n</$transclude>\n\n</$reveal>\n\n</$list>\n</div>\n</div>\n\\end\n"
        },
        "$:/core/macros/tag-picker": {
            "title": "$:/core/macros/tag-picker",
            "tags": "$:/tags/Macro",
            "text": "\\define add-tag-actions()\n<$action-sendmessage $message=\"tm-add-tag\" $param={{{ [<newTagNameTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newTagNameTiddler>>/>\n\\end\n\n\\define tag-button()\n<$button class=\"tc-btn-invisible\" tag=\"a\" tooltip={{$:/language/EditTemplate/Tags/Add/Button/Hint}}>\n<$action-sendmessage $message=\"tm-add-tag\" $param=<<tag>>/>\n<$action-deletetiddler $tiddler=<<newTagNameTiddler>>/>\n<$macrocall $name=\"tag-pill\" tag=<<tag>>/>\n</$button>\n\\end\n\n\\define tag-picker-inner()\n\\whitespace trim\n<div class=\"tc-edit-add-tag\">\n<span class=\"tc-add-tag-name\">\n<$keyboard key=\"ENTER\" actions=<<add-tag-actions>>>\n<$edit-text tiddler=<<newTagNameTiddler>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Tags/Add/Placeholder}} focusPopup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-edit-texteditor tc-popup-handle\" tabindex=<<tabIndex>> focus={{{ [{$:/config/AutoFocus}match[tags]then[true]] ~[[false]] }}}/>\n</$keyboard>\n</span>&nbsp;<$button popup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-btn-invisible\" tooltip={{$:/language/EditTemplate/Tags/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Tags/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button>&nbsp;<span class=\"tc-add-tag-button\">\n<$set name=\"tag\" value={{{ [<newTagNameTiddler>get[text]] }}}>\n<$button set=\"$:/temp/NewTagName\" setTo=\"\" class=\"\">\n<<add-tag-actions>>\n<$action-deletetiddler $tiddler=<<newTagNameTiddler>>/>\n{{$:/language/EditTemplate/Tags/Add/Button}}\n</$button>\n</$set>\n</span>\n</div>\n<div class=\"tc-block-dropdown-wrapper\">\n<$reveal state=<<qualify \"$:/state/popup/tags-auto-complete\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown\">\n<$set name=\"newTagName\" value={{{ [<newTagNameTiddler>get[text]] }}}>\n<$list filter=\"[<newTagName>minlength{$:/config/Tags/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$list filter=\"[tags[]!is[system]search:title<newTagName>sort[]]\" variable=\"tag\">\n<<tag-button>>\n</$list></$list>\n<hr>\n<$list filter=\"[<newTagName>minlength{$:/config/Tags/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$list filter=\"[tags[]is[system]search:title<newTagName>sort[]]\" variable=\"tag\">\n<<tag-button>>\n</$list></$list>\n</$set>\n</div>\n</$reveal>\n</div>\n\\end\n\\define tag-picker()\n\\whitespace trim\n<$list filter=\"[<newTagNameTiddler>match[]]\" emptyMessage=<<tag-picker-inner>>>\n<$set name=\"newTagNameTiddler\" value=<<qualify \"$:/temp/NewTagName\">>>\n<<tag-picker-inner>>\n</$set>\n</$list>\n\\end\n"
        },
        "$:/core/macros/tag": {
            "title": "$:/core/macros/tag",
            "tags": "$:/tags/Macro",
            "text": "\\define tag-pill-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-pill-inner(tag,icon,colour,fallbackTarget,colourA,colourB,element-tag,element-attributes,actions)\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<$element-tag$ $element-attributes$ class=\"tc-tag-label tc-btn-invisible\" style=<<tag-pill-styles>>>\n$actions$<$transclude tiddler=\"\"\"$icon$\"\"\"/><$view tiddler=<<__tag__>> field=\"title\" format=\"text\" />\n</$element-tag$>\n</$vars>\n\\end\n\n\\define tag-pill-body(tag,icon,colour,palette,element-tag,element-attributes,actions)\n<$macrocall $name=\"tag-pill-inner\" tag=<<__tag__>> icon=\"\"\"$icon$\"\"\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} element-tag=\"\"\"$element-tag$\"\"\" element-attributes=\"\"\"$element-attributes$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n\\end\n\n\\define tag-pill(tag,element-tag:\"span\",element-attributes:\"\",actions:\"\")\n<span class=\"tc-tag-list-item\">\n<$macrocall $name=\"tag-pill-body\" tag=<<__tag__>> icon={{{ [<__tag__>get[icon]] }}} colour={{{ [<__tag__>get[color]] }}} palette={{$:/palette}} element-tag=\"\"\"$element-tag$\"\"\" element-attributes=\"\"\"$element-attributes$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</span>\n\\end\n\n\\define tag(tag)\n{{$tag$||$:/core/ui/TagTemplate}}\n\\end\n"
        },
        "$:/core/macros/thumbnails": {
            "title": "$:/core/macros/thumbnails",
            "tags": "$:/tags/Macro",
            "text": "\\define thumbnail(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<$link to=\"\"\"$link$\"\"\"><div class=\"tc-thumbnail-wrapper\">\n<div class=\"tc-thumbnail-image\" style=\"width:$width$px;height:$height$px;\"><$reveal type=\"nomatch\" text=\"\" default=\"\"\"$image$\"\"\" tag=\"div\" style=\"width:$width$px;height:$height$px;\">\n[img[$image$]]\n</$reveal><$reveal type=\"match\" text=\"\" default=\"\"\"$image$\"\"\" tag=\"div\" class=\"tc-thumbnail-background\" style=\"width:$width$px;height:$height$px;background-color:$background-color$;\"></$reveal></div><div class=\"tc-thumbnail-icon\" style=\"fill:$color$;color:$color$;\">\n$icon$\n</div><div class=\"tc-thumbnail-caption\">\n$caption$\n</div>\n</div></$link>\n\\end\n\n\\define thumbnail-right(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<div class=\"tc-thumbnail-right-wrapper\"><<thumbnail \"\"\"$link$\"\"\" \"\"\"$icon$\"\"\" \"\"\"$color$\"\"\" \"\"\"$background-color$\"\"\" \"\"\"$image$\"\"\" \"\"\"$caption$\"\"\" \"\"\"$width$\"\"\" \"\"\"$height$\"\"\">></div>\n\\end\n\n\\define list-thumbnails(filter,width:\"280\",height:\"157\")\n<$list filter=\"\"\"$filter$\"\"\"><$macrocall $name=\"thumbnail\" link={{!!link}} icon={{!!icon}} color={{!!color}} background-color={{!!background-color}} image={{!!image}} caption={{!!caption}} width=\"\"\"$width$\"\"\" height=\"\"\"$height$\"\"\"/></$list>\n\\end\n"
        },
        "$:/core/macros/timeline": {
            "title": "$:/core/macros/timeline",
            "created": "20141212105914482",
            "modified": "20141212110330815",
            "tags": "$:/tags/Macro",
            "text": "\\define timeline-title()\n\\whitespace trim\n<!-- Override this macro with a global macro \n     of the same name if you need to change \n     how titles are displayed on the timeline \n     -->\n<$view field=\"title\"/>\n\\end\n\\define timeline(limit:\"100\",format:\"DDth MMM YYYY\",subfilter:\"\",dateField:\"modified\")\n<div class=\"tc-timeline\">\n<$list filter=\"[!is[system]$subfilter$has[$dateField$]!sort[$dateField$]limit[$limit$]eachday[$dateField$]]\">\n<div class=\"tc-menu-list-item\">\n<$view field=\"$dateField$\" format=\"date\" template=\"$format$\"/>\n<$list filter=\"[sameday:$dateField${!!$dateField$}!is[system]$subfilter$!sort[$dateField$]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}><<timeline-title>></$link>\n</div>\n</$list>\n</div>\n</$list>\n</div>\n\\end\n"
        },
        "$:/core/macros/toc": {
            "title": "$:/core/macros/toc",
            "tags": "$:/tags/Macro",
            "text": "\\define toc-caption()\n<$set name=\"tv-wikilinks\" value=\"no\">\n  <$transclude field=\"caption\">\n    <$view field=\"title\"/>\n  </$transclude>\n</$set>\n\\end\n\n\\define toc-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<ol class=\"tc-toc\">\n  <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n    <$vars item=<<currentTiddler>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n      <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n        <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n          <li class=<<toc-item-class>>>\n            <$list filter=\"[all[current]toc-link[no]]\" emptyMessage=\"<$link><$view field='caption'><$view field='title'/></$view></$link>\">\n              <<toc-caption>>\n            </$list>\n            <$macrocall $name=\"toc-body\" tag=<<item>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<excluded>> path=<<path>>/>\n          </li>\n        </$set>\n      </$set>\n    </$vars>\n  </$list>\n</ol>\n\\end\n\n\\define toc(tag,sort:\"\",itemClassFilter:\"\")\n<$macrocall $name=\"toc-body\"  tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> />\n\\end\n\n\\define toc-linked-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<!-- helper function -->\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n  <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n    <li class=<<toc-item-class>>>\n    <$link>\n      <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n        <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n          {{$:/core/images/right-arrow}}\n        </$button>\n      </$reveal>\n      <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n        <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n          {{$:/core/images/down-arrow}}\n        </$button>\n      </$reveal>\n      <<toc-caption>>\n    </$link>\n    <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n      <$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n    </$reveal>\n    </li>\n  </$set>\n</$qualify>\n\\end\n\n\\define toc-unlinked-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<!-- helper function -->\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n  <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n    <li class=<<toc-item-class>>>\n      <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n        <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n          {{$:/core/images/right-arrow}}\n          <<toc-caption>>\n        </$button>\n      </$reveal>\n      <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n        <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n          {{$:/core/images/down-arrow}}\n          <<toc-caption>>\n        </$button>\n      </$reveal>\n      <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n        <$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n      </$reveal>\n    </li>\n  </$set>\n</$qualify>\n\\end\n\n\\define toc-expandable-empty-message()\n<$macrocall $name=\"toc-linked-expandable-body\" tag=<<tag>> sort=<<sort>> itemClassFilter=<<itemClassFilter>> exclude=<<excluded>> path=<<path>>/>\n\\end\n\n\\define toc-expandable(tag,sort:\"\",itemClassFilter:\"\",exclude,path)\n<$vars tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n  <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n    <ol class=\"tc-toc toc-expandable\">\n      <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n        <$list filter=\"[all[current]toc-link[no]]\" emptyMessage=<<toc-expandable-empty-message>> >\n          <$macrocall $name=\"toc-unlinked-expandable-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=\"\"\"itemClassFilter\"\"\" exclude=<<excluded>> path=<<path>> />\n        </$list>\n      </$list>\n    </ol>\n  </$set>\n</$vars>\n\\end\n\n\\define toc-linked-selective-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n  <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\" >\n    <li class=<<toc-item-class>>>\n      <$link>\n          <$list filter=\"[all[current]tagging[]$sort$limit[1]]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button>\">\n          <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n            <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n              {{$:/core/images/right-arrow}}\n            </$button>\n          </$reveal>\n          <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n            <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n              {{$:/core/images/down-arrow}}\n            </$button>\n          </$reveal>\n        </$list>\n        <<toc-caption>>\n      </$link>\n      <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n        <$macrocall $name=\"toc-selective-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n      </$reveal>\n    </li>\n  </$set>\n</$qualify>\n\\end\n\n\\define toc-unlinked-selective-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n  <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n    <li class=<<toc-item-class>>>\n      <$list filter=\"[all[current]tagging[]$sort$limit[1]]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button> <$view field='caption'><$view field='title'/></$view>\">\n        <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n          <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n            {{$:/core/images/right-arrow}}\n            <<toc-caption>>\n          </$button>\n        </$reveal>\n        <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n          <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n            {{$:/core/images/down-arrow}}\n            <<toc-caption>>\n          </$button>\n        </$reveal>\n      </$list>\n      <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n        <$macrocall $name=\"toc-selective-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n      </$reveal>\n    </li>\n  </$set>\n</$qualify>\n\\end\n\n\\define toc-selective-expandable-empty-message()\n<$macrocall $name=\"toc-linked-selective-expandable-body\" tag=<<tag>> sort=<<sort>> itemClassFilter=<<itemClassFilter>> exclude=<<excluded>> path=<<path>>/>\n\\end\n\n\\define toc-selective-expandable(tag,sort:\"\",itemClassFilter,exclude,path)\n<$vars tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n  <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n    <ol class=\"tc-toc toc-selective-expandable\">\n      <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n        <$list filter=\"[all[current]toc-link[no]]\" variable=\"ignore\" emptyMessage=<<toc-selective-expandable-empty-message>> >\n          <$macrocall $name=\"toc-unlinked-selective-expandable-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<excluded>> path=<<path>>/>\n        </$list>\n      </$list>\n    </ol>\n  </$set>\n</$vars>\n\\end\n\n\\define toc-tabbed-external-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\")\n<$tiddler tiddler={{{ [<__selectedTiddler__>get[text]] }}}>\n  <div class=\"tc-tabbed-table-of-contents\">\n    <$linkcatcher to=<<__selectedTiddler__>>>\n      <div class=\"tc-table-of-contents\">\n        <$macrocall $name=\"toc-selective-expandable\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=\"[all[current]] -[<__selectedTiddler__>get[text]]\"/>\n      </div>\n    </$linkcatcher>\n    <div class=\"tc-tabbed-table-of-contents-content\">\n      <$reveal stateTitle=<<__selectedTiddler__>> type=\"nomatch\" text=\"\">\n        <$transclude mode=\"block\" tiddler=<<__template__>>>\n          <h1><<toc-caption>></h1>\n          <$transclude mode=\"block\">$missingText$</$transclude>\n        </$transclude>\n      </$reveal>\n      <$reveal stateTitle=<<__selectedTiddler__>> type=\"match\" text=\"\">\n        $unselectedText$\n      </$reveal>\n    </div>\n  </div>\n</$tiddler>\n\\end\n\n\\define toc-tabbed-internal-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\")\n<$linkcatcher to=<<__selectedTiddler__>>>\n  <$macrocall $name=\"toc-tabbed-external-nav\" tag=<<__tag__>> sort=<<__sort__>> selectedTiddler=<<__selectedTiddler__>> unselectedText=<<__unselectedText__>> missingText=<<__missingText__>> template=<<__template__>>/>\n</$linkcatcher>\n\\end\n\n"
        },
        "$:/core/macros/translink": {
            "title": "$:/core/macros/translink",
            "tags": "$:/tags/Macro",
            "text": "\\define translink(title,mode:\"block\")\n<div style=\"border:1px solid #ccc; padding: 0.5em; background: black; foreground; white;\">\n<$link to=\"\"\"$title$\"\"\">\n<$text text=\"\"\"$title$\"\"\"/>\n</$link>\n<div style=\"border:1px solid #ccc; padding: 0.5em; background: white; foreground; black;\">\n<$transclude tiddler=\"\"\"$title$\"\"\" mode=\"$mode$\">\n\"<$text text=\"\"\"$title$\"\"\"/>\" is missing\n</$transclude>\n</div>\n</div>\n\\end\n"
        },
        "$:/core/macros/tree": {
            "title": "$:/core/macros/tree",
            "tags": "$:/tags/Macro",
            "text": "\\define leaf-link(full-title,chunk,separator: \"/\")\n<$link to=<<__full-title__>>><$text text=<<__chunk__>>/></$link>\n\\end\n\n\\define leaf-node(prefix,chunk)\n<li>\n<$list filter=\"[<__prefix__>addsuffix<__chunk__>is[shadow]] [<__prefix__>addsuffix<__chunk__>is[tiddler]]\" variable=\"full-title\">\n<$list filter=\"[<full-title>removeprefix<__prefix__>]\" variable=\"chunk\">\n<span>{{$:/core/images/file}}</span> <$macrocall $name=\"leaf-link\" full-title=<<full-title>> chunk=<<chunk>>/>\n</$list>\n</$list>\n</li>\n\\end\n\n\\define branch-node(prefix,chunk,separator: \"/\")\n<li>\n<$set name=\"reveal-state\" value={{{ [[$:/state/tree/]addsuffix<__prefix__>addsuffix<__chunk__>] }}}>\n<$reveal type=\"nomatch\" stateTitle=<<reveal-state>> text=\"show\">\n<$button setTitle=<<reveal-state>> setTo=\"show\" class=\"tc-btn-invisible\">\n{{$:/core/images/folder}} <$text text=<<__chunk__>>/>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<reveal-state>> text=\"show\">\n<$button setTitle=<<reveal-state>> setTo=\"hide\" class=\"tc-btn-invisible\">\n{{$:/core/images/folder}} <$text text=<<__chunk__>>/>\n</$button>\n</$reveal>\n<span>(<$count filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>removeprefix<__chunk__>] -[<__prefix__>addsuffix<__chunk__>]\"/>)</span>\n<$reveal type=\"match\" stateTitle=<<reveal-state>> text=\"show\">\n<$macrocall $name=\"tree-node\" prefix={{{ [<__prefix__>addsuffix<__chunk__>] }}} separator=<<__separator__>>/>\n</$reveal>\n</$set>\n</li>\n\\end\n\n\\define tree-node(prefix,separator: \"/\")\n<ol>\n<$list filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>splitbefore<__separator__>sort[]!suffix<__separator__>]\" variable=\"chunk\">\n<$macrocall $name=\"leaf-node\" prefix=<<__prefix__>> chunk=<<chunk>> separator=<<__separator__>>/>\n</$list>\n<$list filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>splitbefore<__separator__>sort[]suffix<__separator__>]\" variable=\"chunk\">\n<$macrocall $name=\"branch-node\" prefix=<<__prefix__>> chunk=<<chunk>> separator=<<__separator__>>/>\n</$list>\n</ol>\n\\end\n\n\\define tree(prefix: \"$:/\",separator: \"/\")\n<div class=\"tc-tree\">\n<span><$text text=<<__prefix__>>/></span>\n<div>\n<$macrocall $name=\"tree-node\" prefix=<<__prefix__>> separator=<<__separator__>>/>\n</div>\n</div>\n\\end\n"
        },
        "$:/core/macros/utils": {
            "title": "$:/core/macros/utils",
            "text": "\\define colour(colour)\n$colour$\n\\end\n"
        },
        "$:/snippets/minifocusswitcher": {
            "title": "$:/snippets/minifocusswitcher",
            "text": "<$select tiddler=\"$:/config/AutoFocus\">\n<$list filter=\"title tags text type fields\">\n<option value=<<currentTiddler>>><<currentTiddler>></option>\n</$list>\n</$select>\n"
        },
        "$:/snippets/minilanguageswitcher": {
            "title": "$:/snippets/minilanguageswitcher",
            "text": "<$select tiddler=\"$:/language\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"description\"><$view field=\"name\"><$view field=\"title\"/></$view></$view></option>\n</$list>\n</$select>"
        },
        "$:/snippets/minithemeswitcher": {
            "title": "$:/snippets/minithemeswitcher",
            "text": "\\define lingo-base() $:/language/ControlPanel/Theme/\n<<lingo Prompt>> <$select tiddler=\"$:/theme\">\n<$list filter=\"[plugin-type[theme]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"name\"><$view field=\"title\"/></$view></option>\n</$list>\n</$select>"
        },
        "$:/snippets/modules": {
            "title": "$:/snippets/modules",
            "text": "\\define describeModuleType(type)\n{{$:/language/Docs/ModuleTypes/$type$}}\n\\end\n<$list filter=\"[moduletypes[]]\">\n\n!! <$macrocall $name=\"currentTiddler\" $type=\"text/plain\" $output=\"text/plain\"/>\n\n<$macrocall $name=\"describeModuleType\" type=<<currentTiddler>>/>\n\n<ul><$list filter=\"[all[current]modules[]]\"><li><$link><<currentTiddler>></$link>\n</li>\n</$list>\n</ul>\n</$list>\n"
        },
        "$:/palette": {
            "title": "$:/palette",
            "text": "$:/palettes/Vanilla"
        },
        "$:/snippets/paletteeditor": {
            "title": "$:/snippets/paletteeditor",
            "text": "<$transclude tiddler=\"$:/PaletteManager\"/>\n"
        },
        "$:/snippets/palettepreview": {
            "title": "$:/snippets/palettepreview",
            "text": "<$set name=\"currentTiddler\" value={{$:/palette}}>\n{{||$:/snippets/currpalettepreview}}\n</$set>\n"
        },
        "$:/snippets/paletteswitcher": {
            "title": "$:/snippets/paletteswitcher",
            "text": "<$linkcatcher to=\"$:/palette\">\n<div class=\"tc-chooser\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Palette]sort[name]]\"><$set name=\"cls\" filter=\"[all[current]prefix{$:/palette}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>><$link to={{!!title}}>''<$view field=\"name\" format=\"text\"/>'' - <$view field=\"description\" format=\"text\"/>{{||$:/snippets/currpalettepreview}}</$link>\n</div></$set>\n</$list>\n</div>\n</$linkcatcher>\n"
        },
        "$:/snippets/peek-stylesheets": {
            "title": "$:/snippets/peek-stylesheets",
            "text": "\\define expandable-stylesheets-list()\n<ol>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<$vars state=<<qualify \"$:/state/peek-stylesheets/open/\">>>\n<$set name=\"state\" value={{{ [<state>addsuffix<currentTiddler>] }}}>\n<li>\n<$reveal type=\"match\" state=<<state>> text=\"yes\" tag=\"span\">\n<$button set=<<state>> setTo=\"no\" class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=<<state>> text=\"yes\" tag=\"span\">\n<$button set=<<state>> setTo=\"yes\" class=\"tc-btn-invisible\">\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$link>\n<$view field=\"title\"/>\n</$link>\n<$reveal type=\"match\" state=<<state>> text=\"yes\" tag=\"div\">\n<$set name=\"source\" tiddler=<<currentTiddler>>>\n<$wikify name=\"styles\" text=<<source>>>\n<pre>\n<code>\n<$text text=<<styles>>/>\n</code>\n</pre>\n</$wikify>\n</$set>\n</$reveal>\n</li>\n</$set>\n</$vars>\n</$list>\n</ol>\n\\end\n\n\\define stylesheets-list()\n<ol>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<li>\n<$link>\n<$view field=\"title\"/>\n</$link>\n<$set name=\"source\" tiddler=<<currentTiddler>>>\n<$wikify name=\"styles\" text=<<source>>>\n<pre>\n<code>\n<$text text=<<styles>>/>\n</code>\n</pre>\n</$wikify>\n</$set>\n</li>\n</$list>\n</ol>\n\\end\n\n<$vars modeState=<<qualify \"$:/state/peek-stylesheets/mode/\">>>\n\n<$reveal type=\"nomatch\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<$button set=<<modeState>> setTo=\"expanded\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}} {{$:/language/ControlPanel/Stylesheets/Expand/Caption}}</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<$button set=<<modeState>> setTo=\"restored\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-down}} {{$:/language/ControlPanel/Stylesheets/Restore/Caption}}</$button>\n</$reveal>\n\n<$reveal type=\"nomatch\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<<expandable-stylesheets-list>>\n</$reveal>\n<$reveal type=\"match\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<<stylesheets-list>>\n</$reveal>\n\n</$vars>\n"
        },
        "$:/temp/search": {
            "title": "$:/temp/search",
            "text": ""
        },
        "$:/tags/AdvancedSearch": {
            "title": "$:/tags/AdvancedSearch",
            "list": "[[$:/core/ui/AdvancedSearch/Standard]] [[$:/core/ui/AdvancedSearch/System]] [[$:/core/ui/AdvancedSearch/Shadows]] [[$:/core/ui/AdvancedSearch/Filter]]"
        },
        "$:/tags/AdvancedSearch/FilterButton": {
            "title": "$:/tags/AdvancedSearch/FilterButton",
            "list": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown $:/core/ui/AdvancedSearch/Filter/FilterButtons/clear $:/core/ui/AdvancedSearch/Filter/FilterButtons/export $:/core/ui/AdvancedSearch/Filter/FilterButtons/delete"
        },
        "$:/tags/ControlPanel": {
            "title": "$:/tags/ControlPanel",
            "list": "$:/core/ui/ControlPanel/Info $:/core/ui/ControlPanel/Appearance $:/core/ui/ControlPanel/Settings $:/core/ui/ControlPanel/Saving $:/core/ui/ControlPanel/Plugins $:/core/ui/ControlPanel/Tools $:/core/ui/ControlPanel/Internals"
        },
        "$:/tags/ControlPanel/Info": {
            "title": "$:/tags/ControlPanel/Info",
            "list": "$:/core/ui/ControlPanel/Basics $:/core/ui/ControlPanel/Advanced"
        },
        "$:/tags/ControlPanel/Plugins": {
            "title": "$:/tags/ControlPanel/Plugins",
            "list": "[[$:/core/ui/ControlPanel/Plugins/Installed]] [[$:/core/ui/ControlPanel/Plugins/Add]]"
        },
        "$:/tags/EditTemplate": {
            "title": "$:/tags/EditTemplate",
            "list": "[[$:/core/ui/EditTemplate/controls]] [[$:/core/ui/EditTemplate/title]] [[$:/core/ui/EditTemplate/tags]] [[$:/core/ui/EditTemplate/shadow]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/EditTemplate/body]] [[$:/core/ui/EditTemplate/type]] [[$:/core/ui/EditTemplate/fields]]"
        },
        "$:/tags/EditToolbar": {
            "title": "$:/tags/EditToolbar",
            "list": "[[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/cancel]] [[$:/core/ui/Buttons/save]]"
        },
        "$:/tags/EditorToolbar": {
            "title": "$:/tags/EditorToolbar",
            "list": "$:/core/ui/EditorToolbar/paint $:/core/ui/EditorToolbar/opacity $:/core/ui/EditorToolbar/line-width $:/core/ui/EditorToolbar/rotate-left $:/core/ui/EditorToolbar/clear $:/core/ui/EditorToolbar/bold $:/core/ui/EditorToolbar/italic $:/core/ui/EditorToolbar/strikethrough $:/core/ui/EditorToolbar/underline $:/core/ui/EditorToolbar/superscript $:/core/ui/EditorToolbar/subscript $:/core/ui/EditorToolbar/mono-line $:/core/ui/EditorToolbar/mono-block $:/core/ui/EditorToolbar/quote $:/core/ui/EditorToolbar/list-bullet $:/core/ui/EditorToolbar/list-number $:/core/ui/EditorToolbar/heading-1 $:/core/ui/EditorToolbar/heading-2 $:/core/ui/EditorToolbar/heading-3 $:/core/ui/EditorToolbar/heading-4 $:/core/ui/EditorToolbar/heading-5 $:/core/ui/EditorToolbar/heading-6 $:/core/ui/EditorToolbar/link $:/core/ui/EditorToolbar/excise $:/core/ui/EditorToolbar/picture $:/core/ui/EditorToolbar/stamp $:/core/ui/EditorToolbar/size $:/core/ui/EditorToolbar/editor-height $:/core/ui/EditorToolbar/more $:/core/ui/EditorToolbar/preview $:/core/ui/EditorToolbar/preview-type"
        },
        "$:/tags/Manager/ItemMain": {
            "title": "$:/tags/Manager/ItemMain",
            "list": "$:/Manager/ItemMain/WikifiedText $:/Manager/ItemMain/RawText $:/Manager/ItemMain/Fields"
        },
        "$:/tags/Manager/ItemSidebar": {
            "title": "$:/tags/Manager/ItemSidebar",
            "list": "$:/Manager/ItemSidebar/Tags $:/Manager/ItemSidebar/Colour $:/Manager/ItemSidebar/Icon $:/Manager/ItemSidebar/Tools"
        },
        "$:/tags/MoreSideBar": {
            "title": "$:/tags/MoreSideBar",
            "list": "[[$:/core/ui/MoreSideBar/All]] [[$:/core/ui/MoreSideBar/Recent]] [[$:/core/ui/MoreSideBar/Tags]] [[$:/core/ui/MoreSideBar/Missing]] [[$:/core/ui/MoreSideBar/Drafts]] [[$:/core/ui/MoreSideBar/Orphans]] [[$:/core/ui/MoreSideBar/Types]] [[$:/core/ui/MoreSideBar/System]] [[$:/core/ui/MoreSideBar/Shadows]] [[$:/core/ui/MoreSideBar/Explorer]] [[$:/core/ui/MoreSideBar/Plugins]]",
            "text": ""
        },
        "$:/tags/PageControls": {
            "title": "$:/tags/PageControls",
            "list": "[[$:/core/ui/Buttons/home]] [[$:/core/ui/Buttons/close-all]] [[$:/core/ui/Buttons/fold-all]] [[$:/core/ui/Buttons/unfold-all]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/new-tiddler]] [[$:/core/ui/Buttons/new-journal]] [[$:/core/ui/Buttons/new-image]] [[$:/core/ui/Buttons/import]] [[$:/core/ui/Buttons/export-page]] [[$:/core/ui/Buttons/control-panel]] [[$:/core/ui/Buttons/advanced-search]] [[$:/core/ui/Buttons/manager]] [[$:/core/ui/Buttons/tag-manager]] [[$:/core/ui/Buttons/language]] [[$:/core/ui/Buttons/palette]] [[$:/core/ui/Buttons/theme]] [[$:/core/ui/Buttons/storyview]] [[$:/core/ui/Buttons/encryption]] [[$:/core/ui/Buttons/timestamp]] [[$:/core/ui/Buttons/full-screen]] [[$:/core/ui/Buttons/print]] [[$:/core/ui/Buttons/save-wiki]] [[$:/core/ui/Buttons/refresh]] [[$:/core/ui/Buttons/more-page-actions]]"
        },
        "$:/tags/PageTemplate": {
            "title": "$:/tags/PageTemplate",
            "list": "[[$:/core/ui/PageTemplate/topleftbar]] [[$:/core/ui/PageTemplate/toprightbar]] [[$:/core/ui/PageTemplate/sidebar]] [[$:/core/ui/PageTemplate/story]] [[$:/core/ui/PageTemplate/alerts]]",
            "text": ""
        },
        "$:/tags/PluginLibrary": {
            "title": "$:/tags/PluginLibrary",
            "list": "$:/config/OfficialPluginLibrary"
        },
        "$:/tags/SideBar": {
            "title": "$:/tags/SideBar",
            "list": "[[$:/core/ui/SideBar/Open]] [[$:/core/ui/SideBar/Recent]] [[$:/core/ui/SideBar/Tools]] [[$:/core/ui/SideBar/More]]",
            "text": ""
        },
        "$:/tags/SideBarSegment": {
            "title": "$:/tags/SideBarSegment",
            "list": "[[$:/core/ui/SideBarSegments/site-title]] [[$:/core/ui/SideBarSegments/site-subtitle]] [[$:/core/ui/SideBarSegments/page-controls]] [[$:/core/ui/SideBarSegments/search]] [[$:/core/ui/SideBarSegments/tabs]]"
        },
        "$:/tags/TiddlerInfo": {
            "title": "$:/tags/TiddlerInfo",
            "list": "[[$:/core/ui/TiddlerInfo/Tools]] [[$:/core/ui/TiddlerInfo/References]] [[$:/core/ui/TiddlerInfo/Tagging]] [[$:/core/ui/TiddlerInfo/List]] [[$:/core/ui/TiddlerInfo/Listed]] [[$:/core/ui/TiddlerInfo/Fields]]",
            "text": ""
        },
        "$:/tags/TiddlerInfo/Advanced": {
            "title": "$:/tags/TiddlerInfo/Advanced",
            "list": "[[$:/core/ui/TiddlerInfo/Advanced/ShadowInfo]] [[$:/core/ui/TiddlerInfo/Advanced/PluginInfo]]"
        },
        "$:/tags/ViewTemplate": {
            "title": "$:/tags/ViewTemplate",
            "list": "[[$:/core/ui/ViewTemplate/title]] [[$:/core/ui/ViewTemplate/unfold]] [[$:/core/ui/ViewTemplate/subtitle]] [[$:/core/ui/ViewTemplate/tags]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/ViewTemplate/body]]"
        },
        "$:/tags/ViewToolbar": {
            "title": "$:/tags/ViewToolbar",
            "list": "[[$:/core/ui/Buttons/more-tiddler-actions]] [[$:/core/ui/Buttons/info]] [[$:/core/ui/Buttons/new-here]] [[$:/core/ui/Buttons/new-journal-here]] [[$:/core/ui/Buttons/clone]] [[$:/core/ui/Buttons/export-tiddler]] [[$:/core/ui/Buttons/edit]] [[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/permalink]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/open-window]] [[$:/core/ui/Buttons/close-others]] [[$:/core/ui/Buttons/close]] [[$:/core/ui/Buttons/fold-others]] [[$:/core/ui/Buttons/fold]]"
        },
        "$:/snippets/themeswitcher": {
            "title": "$:/snippets/themeswitcher",
            "text": "<$linkcatcher to=\"$:/theme\">\n<div class=\"tc-chooser\"><$list filter=\"[plugin-type[theme]sort[title]]\"><$set name=\"cls\" filter=\"[all[current]field:title{$:/theme}] [[$:/theme]!has[text]addsuffix[s/tiddlywiki/vanilla]field:title<currentTiddler>] +[limit[1]]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>><$link to={{!!title}}>''<$view field=\"name\" format=\"text\"/>'' <$view field=\"description\" format=\"text\"/></$link></div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
        },
        "$:/core/wiki/title": {
            "title": "$:/core/wiki/title",
            "text": "{{$:/SiteTitle}} --- {{$:/SiteSubtitle}}"
        },
        "$:/view": {
            "title": "$:/view",
            "text": "classic"
        },
        "$:/snippets/viewswitcher": {
            "title": "$:/snippets/viewswitcher",
            "text": "\\define icon()\n$:/core/images/storyview-$(storyview)$\n\\end\n<$linkcatcher to=\"$:/view\">\n<div class=\"tc-chooser tc-viewswitcher\">\n<$list filter=\"[storyviews[]]\" variable=\"storyview\">\n<$set name=\"cls\" filter=\"[<storyview>prefix{$:/view}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>>\n<$link to=<<storyview>>><$transclude tiddler=<<icon>>/><$text text=<<storyview>>/></$link>\n</div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
        }
    }
}

\whitespace trim
<section class="tc-story-river">

<section class="story-backdrop">

<$list filter="[all[shadows+tiddlers]tag[$:/tags/AboveStory]!has[draft.of]]">

<$transclude/>

</$list>

</section>

<$list filter="[list[$:/StoryList]]" history="$:/HistoryList" template={{$:/config/ui/ViewTemplate}} editTemplate={{$:/config/ui/EditTemplate}} storyview={{$:/view}} emptyMessage={{$:/config/EmptyStoryMessage}}/>

<section class="story-frontdrop">

<$list filter="[all[shadows+tiddlers]tag[$:/tags/BelowStory]!has[draft.of]]">

<$transclude/>

</$list>

</section>

</section>

<div class="tc-site-subtitle">

<$transclude tiddler="$:/SiteSubtitle" mode="inline"/>

</div>

<h1 class="tc-site-title">

<$transclude tiddler="$:/SiteTitle" mode="inline"/>

</h1>

[[Visual Menu]]

The following tiddlers were imported:

# [[Life Event Plane.png]]
# [[Transaction plane.png]]
# [[Actor plane.png]]
# [[Issuance plane.png]]
# [[Maintenance plane.png]]

no

\whitespace trim
<$navigator story="$:/fullscreen-editor">
<$button message="tm-edit-tiddler" tooltip="Edit in full screen mode" class=<<tv-config-toolbar-class>>>
<$list filter="[<tv-config-toolbar-icons>prefix[yes]]">
{{$:/core/images/full-screen-button}}
</$list>
<$list filter="[<tv-config-toolbar-text>prefix[yes]]">
<span class="tc-btn-text">
<$text text=" "/>
<$text text="edit in full screen"/>
</span>
</$list>
</$button>
</$navigator>

$:/palettes/Blanca

alert-background: #ffe476
alert-border: #b99e2f
alert-highlight: #881122
alert-muted-foreground: #b99e2f
background: #ffffff
blockquote-bar: <<colour muted-foreground>>
button-background: 
button-foreground: 
button-border: 
code-background: #f7f7f9
code-border: #e1e1e8
code-foreground: #dd1144
diff-delete-background: #ffc9c9
diff-delete-foreground: <<colour foreground>>
diff-equal-background: 
diff-equal-foreground: <<colour foreground>>
diff-insert-background: #aaefad
diff-insert-foreground: <<colour foreground>>
diff-invisible-background: 
diff-invisible-foreground: <<colour muted-foreground>>
dirty-indicator: #ff0000
download-background: #34c734
download-foreground: <<colour background>>
dragger-background: <<colour foreground>>
dragger-foreground: <<colour background>>
dropdown-background: <<colour background>>
dropdown-border: <<colour muted-foreground>>
dropdown-tab-background-selected: #fff
dropdown-tab-background: #ececec
dropzone-background: rgba(0,200,0,0.7)
external-link-background-hover: inherit
external-link-background-visited: inherit
external-link-background: inherit
external-link-foreground-hover: inherit
external-link-foreground-visited: #0000aa
external-link-foreground: #0000ee
foreground: #333333
message-background: #ecf2ff
message-border: #cfd6e6
message-foreground: #547599
modal-backdrop: <<colour foreground>>
modal-background: <<colour background>>
modal-border: #999999
modal-footer-background: #f5f5f5
modal-footer-border: #dddddd
modal-header-border: #eeeeee
muted-foreground: #bbb
notification-background: #ffffdd
notification-border: #999999
page-background: #fff
pre-background: #f5f5f5
pre-border: #cccccc
primary: #5778d8
select-tag-background: 
select-tag-foreground: 
sidebar-button-foreground: <<colour foreground>>
sidebar-controls-foreground-hover: #000000
sidebar-controls-foreground: #aaaaaa
sidebar-foreground-shadow: rgba(255,255,255, 0.8)
sidebar-foreground: #acacac
sidebar-muted-foreground-hover: #444444
sidebar-muted-foreground: #c0c0c0
sidebar-tab-background-selected: #f4f4f4
sidebar-tab-background: #e0e0e0
sidebar-tab-border-selected: <<colour tab-border-selected>>
sidebar-tab-border: <<colour tab-border>>
sidebar-tab-divider: #e4e4e4
sidebar-tab-foreground-selected: 
sidebar-tab-foreground: <<colour tab-foreground>>
sidebar-tiddler-link-foreground-hover: #444444
sidebar-tiddler-link-foreground: #999999
site-title-foreground: <<colour tiddler-title-foreground>>
static-alert-foreground: #aaaaaa
tab-background-selected: #ffffff
tab-background: #d8d8d8
tab-border-selected: #d8d8d8
tab-border: #cccccc
tab-divider: #d8d8d8
tab-foreground-selected: <<colour tab-foreground>>
tab-foreground: #666666
table-border: #dddddd
table-footer-background: #a8a8a8
table-header-background: #f0f0f0
tag-background: #ec6
tag-foreground: #ffffff
tiddler-background: #f1f1f1
tiddler-border: #b1b1b1
tiddler-controls-foreground-hover: #888888
tiddler-controls-foreground-selected: #444444
tiddler-controls-foreground: #cccccc
tiddler-editor-background: #eee
tiddler-editor-border-image: #ffffff
tiddler-editor-border: #cccccc
tiddler-editor-fields-even: #e0e8e0
tiddler-editor-fields-odd: #f0f4f0
tiddler-info-background: #f8f8f8
tiddler-info-border: #dddddd
tiddler-info-tab-background: #f8f8f8
tiddler-link-background: <<colour background>>
tiddler-link-foreground: <<colour primary>>
tiddler-subtitle-foreground: #c0c0c0
tiddler-title-foreground: #00c
toolbar-new-button: 
toolbar-options-button: 
toolbar-save-button: 
toolbar-info-button: 
toolbar-edit-button: 
toolbar-close-button: 
toolbar-delete-button: 
toolbar-cancel-button: 
toolbar-done-button: 
untagged-background: #999999
very-muted-foreground: #888888

{
    "tiddlers": {
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/bold": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/bold",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/bold",
            "caption": "{{$:/language/Buttons/Bold/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/Bold/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "shortcuts": "((bold))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"*\"\n\tsuffix=\"*\"\n/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/heading-2": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/heading-2",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-2",
            "caption": "{{$:/language/Buttons/Heading2/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/Heading2/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "shortcuts": "((heading-2))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"=\"\n\tcount=\"2\"\n/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/heading-3": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/heading-3",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-3",
            "caption": "{{$:/language/Buttons/Heading3/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/Heading3/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "shortcuts": "((heading-3))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"=\"\n\tcount=\"3\"\n/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/heading-4": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/heading-4",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-4",
            "caption": "{{$:/language/Buttons/Heading4/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/Heading4/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "shortcuts": "((heading-4))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"=\"\n\tcount=\"4\"\n/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/heading-5": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/heading-5",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-5",
            "caption": "{{$:/language/Buttons/Heading5/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/Heading5/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "shortcuts": "((heading-5))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"=\"\n\tcount=\"5\"\n/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/heading-6": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/heading-6",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-6",
            "caption": "{{$:/language/Buttons/Heading6/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/Heading6/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "shortcuts": "((heading-6))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"=\"\n\tcount=\"6\"\n/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/italic": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/italic",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/italic",
            "caption": "{{$:/language/Buttons/Italic/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/Italic/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "shortcuts": "((italic))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"_\"\n\tsuffix=\"_\"\n/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/linkify": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/linkify",
            "caption": "{{$:/language/Buttons/Linkify/Caption}} (Asciidoctor)",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "description": "{{$:/language/Buttons/Linkify/Hint}}",
            "icon": "$:/core/images/linkify",
            "list-before": "$:/plugins/bimlas/asciidoctor/EditorToolbar/mono-block",
            "shortcuts": "((linkify))",
            "tags": "$:/tags/EditorToolbar",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"link:#\"\n\tsuffix=\"[]\"\n/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/list-bullet": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/list-bullet",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/list-bullet",
            "caption": "{{$:/language/Buttons/ListBullet/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/ListBullet/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "shortcuts": "((list-bullet))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"*\"\n\tcount=\"1\"\n/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/list-number": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/list-number",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/list-number",
            "caption": "{{$:/language/Buttons/ListNumber/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/ListNumber/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "shortcuts": "((list-number))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\".\"\n\tcount=\"1\"\n/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/mono-block": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/mono-block",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/mono-block",
            "caption": "{{$:/language/Buttons/MonoBlock/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/MonoBlock/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "button-classes": "tc-text-editor-toolbar-item-start-group",
            "shortcuts": "((mono-block))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n[source]\n----\"\n\tsuffix=\"----\"\n/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/mono-line": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/mono-line",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/mono-line",
            "caption": "{{$:/language/Buttons/MonoLine/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/MonoLine/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "shortcuts": "((mono-line))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"`\"\n\tsuffix=\"`\"\n/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/picture-dropdown": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/picture-dropdown",
            "text": "\\define replacement-text()\nimage::$(imageTitle)$[]\n\\end\n\n''{{$:/language/Buttons/Picture/Hint}}''\n\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext=<<replacement-text>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/picture": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/picture",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/picture",
            "caption": "{{$:/language/Buttons/Picture/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/Picture/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "shortcuts": "((picture))",
            "dropdown": "$:/plugins/bimlas/asciidoctor/EditorToolbar/picture-dropdown"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/quote": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/quote",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/quote",
            "caption": "{{$:/language/Buttons/Quote/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/Quote/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "shortcuts": "((quote))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n____\"\n\tsuffix=\"____\"\n/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/strikethrough": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/strikethrough",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/strikethrough",
            "caption": "{{$:/language/Buttons/Strikethrough/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/Strikethrough/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "shortcuts": "((strikethrough))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"+++<strike>\"\n\tsuffix=\"</strike>+++\"\n/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/subscript": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/subscript",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/subscript",
            "caption": "{{$:/language/Buttons/Subscript/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/Subscript/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "shortcuts": "((subscript))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"~\"\n\tsuffix=\"~\"\n/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/superscript": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/superscript",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/superscript",
            "caption": "{{$:/language/Buttons/Superscript/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/Superscript/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "shortcuts": "((superscript))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"^\"\n\tsuffix=\"^\"\n/>\n"
        },
        "$:/plugins/bimlas/asciidoctor/EditorToolbar/underline": {
            "title": "$:/plugins/bimlas/asciidoctor/EditorToolbar/underline",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/underline",
            "caption": "{{$:/language/Buttons/Underline/Caption}} (Asciidoctor)",
            "description": "{{$:/language/Buttons/Underline/Hint}}",
            "condition": "[<targetTiddler>type[text/asciidoc]]",
            "shortcuts": "((underline))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"+++<u>\"\n\tsuffix=\"</u>+++\"\n/>\n"
        },
        "$:/language/Docs/Types/text/asciidoc": {
            "title": "$:/language/Docs/Types/text/asciidoc",
            "description": "Asciidoctor",
            "name": "text/asciidoc",
            "group": "Text"
        },
        "$:/plugins/bimlas/asciidoctor/asciidoctor.js": {
            "text": "// if (typeof Opal === 'undefined' && typeof module === 'object' && module.exports) {\n//   Opal = require('opal-runtime').Opal;\n// }\n\nif (typeof Opal === 'undefined') {\n(function(undefined) {\n  // @note\n  //   A few conventions for the documentation of this file:\n  //   1. Always use \"//\" (in contrast with \"/**/\")\n  //   2. The syntax used is Yardoc (yardoc.org), which is intended for Ruby (se below)\n  //   3. `@param` and `@return` types should be preceded by `JS.` when referring to\n  //      JavaScript constructors (e.g. `JS.Function`) otherwise Ruby is assumed.\n  //   4. `nil` and `null` being unambiguous refer to the respective\n  //      objects/values in Ruby and JavaScript\n  //   5. This is still WIP :) so please give feedback and suggestions on how\n  //      to improve or for alternative solutions\n  //\n  //   The way the code is digested before going through Yardoc is a secret kept\n  //   in the docs repo (https://github.com/opal/docs/tree/master).\n\n  var global_object = this, console;\n\n  // Detect the global object\n  if (typeof(global) !== 'undefined') { global_object = global; }\n  if (typeof(window) !== 'undefined') { global_object = window; }\n\n  // Setup a dummy console object if missing\n  if (typeof(global_object.console) === 'object') {\n    console = global_object.console;\n  } else if (global_object.console == null) {\n    console = global_object.console = {};\n  } else {\n    console = {};\n  }\n\n  if (!('log' in console)) { console.log = function () {}; }\n  if (!('warn' in console)) { console.warn = console.log; }\n\n  if (typeof(this.Opal) !== 'undefined') {\n    console.warn('Opal already loaded. Loading twice can cause troubles, please fix your setup.');\n    return this.Opal;\n  }\n\n  var nil;\n\n  // The actual class for BasicObject\n  var BasicObject;\n\n  // The actual Object class.\n  // The leading underscore is to avoid confusion with window.Object()\n  var _Object;\n\n  // The actual Module class\n  var Module;\n\n  // The actual Class class\n  var Class;\n\n  // Constructor for instances of BasicObject\n  function BasicObject_alloc(){}\n\n  // Constructor for instances of Object\n  function Object_alloc(){}\n\n  // Constructor for instances of Class\n  function Class_alloc(){}\n\n  // Constructor for instances of Module\n  function Module_alloc(){}\n\n  // Constructor for instances of NilClass (nil)\n  function NilClass_alloc(){}\n\n  // The Opal object that is exposed globally\n  var Opal = this.Opal = {};\n\n  // All bridged classes - keep track to donate methods from Object\n  var BridgedClasses = {};\n\n  // This is a useful reference to global object inside ruby files\n  Opal.global = global_object;\n  global_object.Opal = Opal;\n\n  // Configure runtime behavior with regards to require and unsupported fearures\n  Opal.config = {\n    missing_require_severity: 'error',        // error, warning, ignore\n    unsupported_features_severity: 'warning', // error, warning, ignore\n    enable_stack_trace: true                  // true, false\n  }\n\n  // Minify common function calls\n  var $hasOwn = Object.hasOwnProperty;\n  var $slice  = Opal.slice = Array.prototype.slice;\n\n  // Nil object id is always 4\n  var nil_id = 4;\n\n  // Generates even sequential numbers greater than 4\n  // (nil_id) to serve as unique ids for ruby objects\n  var unique_id = nil_id;\n\n  // Return next unique id\n  Opal.uid = function() {\n    unique_id += 2;\n    return unique_id;\n  };\n\n  // Retrieve or assign the id of an object\n  Opal.id = function(obj) {\n    if (obj.$$is_number) return (obj * 2)+1;\n    return obj.$$id || (obj.$$id = Opal.uid());\n  };\n\n  // Globals table\n  Opal.gvars = {};\n\n  // Exit function, this should be replaced by platform specific implementation\n  // (See nodejs and chrome for examples)\n  Opal.exit = function(status) { if (Opal.gvars.DEBUG) console.log('Exited with status '+status); };\n\n  // keeps track of exceptions for $!\n  Opal.exceptions = [];\n\n  // @private\n  // Pops an exception from the stack and updates `$!`.\n  Opal.pop_exception = function() {\n    Opal.gvars[\"!\"] = Opal.exceptions.pop() || nil;\n  }\n\n  // Inspect any kind of object, including non Ruby ones\n  Opal.inspect = function(obj) {\n    if (obj === undefined) {\n      return \"undefined\";\n    }\n    else if (obj === null) {\n      return \"null\";\n    }\n    else if (!obj.$$class) {\n      return obj.toString();\n    }\n    else {\n      return obj.$inspect();\n    }\n  }\n\n\n  // Truth\n  // -----\n\n  Opal.truthy = function(val) {\n    return (val !== nil && val != null && (!val.$$is_boolean || val == true));\n  };\n\n  Opal.falsy = function(val) {\n    return (val === nil || val == null || (val.$$is_boolean && val == false))\n  };\n\n\n  // Constants\n  // ---------\n  //\n  // For future reference:\n  // - The Rails autoloading guide (http://guides.rubyonrails.org/v5.0/autoloading_and_reloading_constants.html)\n  // - @ConradIrwin's 2012 post on “Everything you ever wanted to know about constant lookup in Ruby” (http://cirw.in/blog/constant-lookup.html)\n  //\n  // Legend of MRI concepts/names:\n  // - constant reference (cref): the module/class that acts as a namespace\n  // - nesting: the namespaces wrapping the current scope, e.g. nesting inside\n  //            `module A; module B::C; end; end` is `[B::C, A]`\n\n  // Get the constant in the scope of the current cref\n  function const_get_name(cref, name) {\n    if (cref) return cref.$$const[name];\n  }\n\n  // Walk up the nesting array looking for the constant\n  function const_lookup_nesting(nesting, name) {\n    var i, ii, result, constant;\n\n    if (nesting.length === 0) return;\n\n    // If the nesting is not empty the constant is looked up in its elements\n    // and in order. The ancestors of those elements are ignored.\n    for (i = 0, ii = nesting.length; i < ii; i++) {\n      constant = nesting[i].$$const[name];\n      if (constant != null) return constant;\n    }\n  }\n\n  // Walk up the ancestors chain looking for the constant\n  function const_lookup_ancestors(cref, name) {\n    var i, ii, result, ancestors;\n\n    if (cref == null) return;\n\n    ancestors = Opal.ancestors(cref);\n\n    for (i = 0, ii = ancestors.length; i < ii; i++) {\n      if (ancestors[i].$$const && $hasOwn.call(ancestors[i].$$const, name)) {\n        return ancestors[i].$$const[name];\n      }\n    }\n  }\n\n  // Walk up Object's ancestors chain looking for the constant,\n  // but only if cref is missing or a module.\n  function const_lookup_Object(cref, name) {\n    if (cref == null || cref.$$is_module) {\n      return const_lookup_ancestors(_Object, name);\n    }\n  }\n\n  // Call const_missing if nothing else worked\n  function const_missing(cref, name, skip_missing) {\n    if (!skip_missing) {\n      return (cref || _Object).$const_missing(name);\n    }\n  }\n\n  // Look for the constant just in the current cref or call `#const_missing`\n  Opal.const_get_local = function(cref, name, skip_missing) {\n    var result;\n\n    if (cref == null) return;\n\n    if (cref === '::') cref = _Object;\n\n    if (!cref.$$is_a_module) {\n      throw new Opal.TypeError(cref.toString() + \" is not a class/module\");\n    }\n\n    result = const_get_name(cref, name);              if (result != null) return result;\n    result = const_missing(cref, name, skip_missing); if (result != null) return result;\n  }\n\n  // Look for the constant relative to a cref or call `#const_missing` (when the\n  // constant is prefixed by `::`).\n  Opal.const_get_qualified = function(cref, name, skip_missing) {\n    var result, cache, cached, current_version = Opal.const_cache_version;\n\n    if (cref == null) return;\n\n    if (cref === '::') cref = _Object;\n\n    if (!cref.$$is_a_module) {\n      throw new Opal.TypeError(cref.toString() + \" is not a class/module\");\n    }\n\n    if ((cache = cref.$$const_cache) == null) {\n      cache = cref.$$const_cache = Object.create(null);\n    }\n    cached = cache[name];\n\n    if (cached == null || cached[0] !== current_version) {\n      ((result = const_get_name(cref, name))              != null) ||\n      ((result = const_lookup_ancestors(cref, name))      != null);\n      cache[name] = [current_version, result];\n    } else {\n      result = cached[1];\n    }\n\n    return result != null ? result : const_missing(cref, name, skip_missing);\n  };\n\n  // Initialize the top level constant cache generation counter\n  Opal.const_cache_version = 1;\n\n  // Look for the constant in the open using the current nesting and the nearest\n  // cref ancestors or call `#const_missing` (when the constant has no :: prefix).\n  Opal.const_get_relative = function(nesting, name, skip_missing) {\n    var cref = nesting[0], result, current_version = Opal.const_cache_version, cache, cached;\n\n    if ((cache = nesting.$$const_cache) == null) {\n      cache = nesting.$$const_cache = Object.create(null);\n    }\n    cached = cache[name];\n\n    if (cached == null || cached[0] !== current_version) {\n      ((result = const_get_name(cref, name))              != null) ||\n      ((result = const_lookup_nesting(nesting, name))     != null) ||\n      ((result = const_lookup_ancestors(cref, name))      != null) ||\n      ((result = const_lookup_Object(cref, name))         != null);\n\n      cache[name] = [current_version, result];\n    } else {\n      result = cached[1];\n    }\n\n    return result != null ? result : const_missing(cref, name, skip_missing);\n  };\n\n  // Register the constant on a cref and opportunistically set the name of\n  // unnamed classes/modules.\n  Opal.const_set = function(cref, name, value) {\n    if (cref == null || cref === '::') cref = _Object;\n\n    if (value.$$is_a_module) {\n      if (value.$$name == null || value.$$name === nil) value.$$name = name;\n      if (value.$$base_module == null) value.$$base_module = cref;\n    }\n\n    cref.$$const = (cref.$$const || Object.create(null));\n    cref.$$const[name] = value;\n\n    // Add a short helper to navigate constants manually.\n    // @example\n    //   Opal.$$.Regexp.$$.IGNORECASE\n    cref.$$ = cref.$$const;\n\n    Opal.const_cache_version++;\n\n    // Expose top level constants onto the Opal object\n    if (cref === _Object) Opal[name] = value;\n\n    return value;\n  };\n\n  // Get all the constants reachable from a given cref, by default will include\n  // inherited constants.\n  Opal.constants = function(cref, inherit) {\n    if (inherit == null) inherit = true;\n\n    var module, modules = [cref], module_constants, i, ii, constants = {}, constant;\n\n    if (inherit) modules = modules.concat(Opal.ancestors(cref));\n    if (inherit && cref.$$is_module) modules = modules.concat([Opal.Object]).concat(Opal.ancestors(Opal.Object));\n\n    for (i = 0, ii = modules.length; i < ii; i++) {\n      module = modules[i];\n\n      // Don not show Objects constants unless we're querying Object itself\n      if (cref !== _Object && module == _Object) break;\n\n      for (constant in module.$$const) {\n        constants[constant] = true;\n      }\n    }\n\n    return Object.keys(constants);\n  };\n\n  // Remove a constant from a cref.\n  Opal.const_remove = function(cref, name) {\n    Opal.const_cache_version++;\n\n    if (cref.$$const[name] != null) {\n      var old = cref.$$const[name];\n      delete cref.$$const[name];\n      return old;\n    }\n\n    if (cref.$$autoload != null && cref.$$autoload[name] != null) {\n      delete cref.$$autoload[name];\n      return nil;\n    }\n\n    throw Opal.NameError.$new(\"constant \"+cref+\"::\"+cref.$name()+\" not defined\");\n  };\n\n\n  // Modules & Classes\n  // -----------------\n\n  // A `class Foo; end` expression in ruby is compiled to call this runtime\n  // method which either returns an existing class of the given name, or creates\n  // a new class in the given `base` scope.\n  //\n  // If a constant with the given name exists, then we check to make sure that\n  // it is a class and also that the superclasses match. If either of these\n  // fail, then we raise a `TypeError`. Note, `superclass` may be null if one\n  // was not specified in the ruby code.\n  //\n  // We pass a constructor to this method of the form `function ClassName() {}`\n  // simply so that classes show up with nicely formatted names inside debuggers\n  // in the web browser (or node/sprockets).\n  //\n  // The `base` is the current `self` value where the class is being created\n  // from. We use this to get the scope for where the class should be created.\n  // If `base` is an object (not a class/module), we simple get its class and\n  // use that as the base instead.\n  //\n  // @param base        [Object] where the class is being created\n  // @param superclass  [Class,null] superclass of the new class (may be null)\n  // @param id          [String] the name of the class to be created\n  // @param constructor [JS.Function] function to use as constructor\n  //\n  // @return new [Class]  or existing ruby class\n  //\n  Opal.klass = function(base, superclass, name, constructor) {\n    var klass, bridged, alloc;\n\n    if (base == null) {\n      base = _Object;\n    }\n\n    // If base is an object, use its class\n    if (!base.$$is_class && !base.$$is_module) {\n      base = base.$$class;\n    }\n\n    // If the superclass is a function then we're bridging a native JS class\n    if (typeof(superclass) === 'function') {\n      bridged = superclass;\n      superclass = _Object;\n    }\n\n    // Try to find the class in the current scope\n    klass = const_get_name(base, name);\n\n    // If the class exists in the scope, then we must use that\n    if (klass) {\n      // Make sure the existing constant is a class, or raise error\n      if (!klass.$$is_class) {\n        throw Opal.TypeError.$new(name + \" is not a class\");\n      }\n\n      // Make sure existing class has same superclass\n      if (superclass && klass.$$super !== superclass) {\n        throw Opal.TypeError.$new(\"superclass mismatch for class \" + name);\n      }\n\n      return klass;\n    }\n\n    // Class doesnt exist, create a new one with given superclass...\n\n    // Not specifying a superclass means we can assume it to be Object\n    if (superclass == null) {\n      superclass = _Object;\n    }\n\n    // If bridged the JS class will also be the alloc function\n    alloc = bridged || Opal.boot_class_alloc(name, constructor, superclass);\n\n    // Create the class object (instance of Class)\n    klass = Opal.setup_class_object(name, alloc, superclass.$$name, superclass.constructor);\n\n    // @property $$super the superclass, doesn't get changed by module inclusions\n    klass.$$super = superclass;\n\n    // @property $$parent direct parent class\n    //                    starts with the superclass, after klass inclusion is\n    //                    the last included klass\n    klass.$$parent = superclass;\n\n    Opal.const_set(base, name, klass);\n\n    // Name new class directly onto current scope (Opal.Foo.Baz = klass)\n    base[name] = klass;\n\n    if (bridged) {\n      Opal.bridge(klass, alloc);\n    }\n    else {\n      // Call .inherited() hook with new class on the superclass\n      if (superclass.$inherited) {\n        superclass.$inherited(klass);\n      }\n    }\n\n    return klass;\n  };\n\n  // Boot a base class (makes instances).\n  //\n  // @param name [String,null] the class name\n  // @param constructor [JS.Function] the class' instances constructor/alloc function\n  // @param superclass  [Class,null] the superclass object\n  // @return [JS.Function] the consturctor holding the prototype for the class' instances\n  Opal.boot_class_alloc = function(name, constructor, superclass) {\n    if (superclass) {\n      var alloc_proxy = function() {};\n      alloc_proxy.prototype = superclass.$$proto || superclass.prototype;\n      constructor.prototype = new alloc_proxy();\n    }\n\n    if (name) {\n      constructor.displayName = name+'_alloc';\n    }\n\n    constructor.prototype.constructor = constructor;\n\n    return constructor;\n  };\n\n  Opal.setup_module_or_class = function(module) {\n    // @property $$id Each class/module is assigned a unique `id` that helps\n    //                comparation and implementation of `#object_id`\n    module.$$id = Opal.uid();\n\n    // @property $$is_a_module Will be true for Module and its subclasses\n    //                         instances (namely: Class).\n    module.$$is_a_module = true;\n\n    // @property $$inc included modules\n    module.$$inc = [];\n\n    // initialize the name with nil\n    module.$$name = nil;\n\n    // Initialize the constants table\n    module.$$const = Object.create(null);\n\n    // @property $$cvars class variables defined in the current module\n    module.$$cvars = Object.create(null);\n  }\n\n\n\n  // Adds common/required properties to class object (as in `Class.new`)\n  //\n  // @param name  [String,null] The name of the class\n  //\n  // @param alloc [JS.Function] The constructor of the class' instances\n  //\n  // @param superclass_name [String,null]\n  //   The name of the super class, this is\n  //   usefule to build the `.displayName` of the singleton class\n  //\n  // @param superclass_alloc [JS.Function]\n  //   The constructor of the superclass from which the singleton_class is\n  //   derived.\n  //\n  // @return [Class]\n  Opal.setup_class_object = function(name, alloc, superclass_name, superclass_alloc) {\n    // Grab the superclass prototype and use it to build an intermediary object\n    // in the prototype chain.\n    var superclass_alloc_proxy = function() {};\n        superclass_alloc_proxy.prototype = superclass_alloc.prototype;\n        superclass_alloc_proxy.displayName = superclass_name;\n\n    var singleton_class_alloc = function() {}\n        singleton_class_alloc.prototype = new superclass_alloc_proxy();\n\n    // The built class is the only instance of its singleton_class\n    var klass = new singleton_class_alloc();\n\n    Opal.setup_module_or_class(klass);\n\n    // @property $$alloc This is the constructor of instances of the current\n    //                   class. Its prototype will be used for method lookup\n    klass.$$alloc = alloc;\n\n    klass.$$name = name || nil;\n\n    // Set a displayName for the singleton_class\n    singleton_class_alloc.displayName = \"#<Class:\"+(name || (\"#<Class:\"+klass.$$id+\">\"))+\">\";\n\n    // @property $$proto This is the prototype on which methods will be defined\n    klass.$$proto = alloc.prototype;\n\n    // @property $$proto.$$class Make available to instances a reference to the\n    //                           class they belong to.\n    klass.$$proto.$$class = klass;\n\n    // @property constructor keeps a ref to the constructor, but apparently the\n    //                       constructor is already set on:\n    //\n    //                          `var klass = new constructor` is called.\n    //\n    //                       Maybe there are some browsers not abiding (IE6?)\n    klass.constructor = singleton_class_alloc;\n\n    // @property $$is_class Clearly mark this as a class\n    klass.$$is_class = true;\n\n    // @property $$class Classes are instances of the class Class\n    klass.$$class    = Class;\n\n    return klass;\n  };\n\n  // Define new module (or return existing module). The given `base` is basically\n  // the current `self` value the `module` statement was defined in. If this is\n  // a ruby module or class, then it is used, otherwise if the base is a ruby\n  // object then that objects real ruby class is used (e.g. if the base is the\n  // main object, then the top level `Object` class is used as the base).\n  //\n  // If a module of the given name is already defined in the base, then that\n  // instance is just returned.\n  //\n  // If there is a class of the given name in the base, then an error is\n  // generated instead (cannot have a class and module of same name in same base).\n  //\n  // Otherwise, a new module is created in the base with the given name, and that\n  // new instance is returned back (to be referenced at runtime).\n  //\n  // @param  base [Module, Class] class or module this definition is inside\n  // @param  id   [String] the name of the new (or existing) module\n  //\n  // @return [Module]\n  Opal.module = function(base, name) {\n    var module;\n\n    if (base == null) {\n      base = _Object;\n    }\n\n    if (!base.$$is_class && !base.$$is_module) {\n      base = base.$$class;\n    }\n\n    module = const_get_name(base, name);\n    if (module == null && base === _Object) module = const_lookup_ancestors(_Object, name);\n\n    if (module) {\n      if (!module.$$is_module && module !== _Object) {\n        throw Opal.TypeError.$new(name + \" is not a module\");\n      }\n    }\n    else {\n      module = Opal.module_allocate(Module);\n      Opal.const_set(base, name, module);\n    }\n\n    return module;\n  };\n\n  // The implementation for Module#initialize\n  // @param module [Module]\n  // @param block [Proc,nil]\n  // @return nil\n  Opal.module_initialize = function(module, block) {\n    if (block !== nil) {\n      var block_self = block.$$s;\n      block.$$s = null;\n      block.call(module);\n      block.$$s = block_self;\n    }\n    return nil;\n  };\n\n  // Internal function to create a new module instance. This simply sets up\n  // the prototype hierarchy and method tables.\n  //\n  Opal.module_allocate = function(superclass) {\n    var mtor = function() {};\n    mtor.prototype = superclass.$$alloc.prototype;\n\n    var module_constructor = function() {};\n    module_constructor.prototype = new mtor();\n\n    var module = new module_constructor();\n    var module_prototype = {};\n\n    Opal.setup_module_or_class(module);\n\n    // initialize dependency tracking\n    module.$$included_in = [];\n\n    // Set the display name of the singleton prototype holder\n    module_constructor.displayName = \"#<Class:#<Module:\"+module.$$id+\">>\"\n\n    // @property $$proto This is the prototype on which methods will be defined\n    module.$$proto = module_prototype;\n\n    // @property constructor\n    //   keeps a ref to the constructor, but apparently the\n    //   constructor is already set on:\n    //\n    //      `var module = new constructor` is called.\n    //\n    //   Maybe there are some browsers not abiding (IE6?)\n    module.constructor = module_constructor;\n\n    // @property $$is_module Clearly mark this as a module\n    module.$$is_module = true;\n    module.$$class     = Module;\n\n    // @property $$super\n    //   the superclass, doesn't get changed by module inclusions\n    module.$$super = superclass;\n\n    // @property $$parent\n    //   direct parent class or module\n    //   starts with the superclass, after module inclusion is\n    //   the last included module\n    module.$$parent = superclass;\n\n    return module;\n  };\n\n  // Return the singleton class for the passed object.\n  //\n  // If the given object alredy has a singleton class, then it will be stored on\n  // the object as the `$$meta` property. If this exists, then it is simply\n  // returned back.\n  //\n  // Otherwise, a new singleton object for the class or object is created, set on\n  // the object at `$$meta` for future use, and then returned.\n  //\n  // @param object [Object] the ruby object\n  // @return [Class] the singleton class for object\n  Opal.get_singleton_class = function(object) {\n    if (object.$$meta) {\n      return object.$$meta;\n    }\n\n    if (object.$$is_class || object.$$is_module) {\n      return Opal.build_class_singleton_class(object);\n    }\n\n    return Opal.build_object_singleton_class(object);\n  };\n\n  // Build the singleton class for an existing class. Class object are built\n  // with their singleton class already in the prototype chain and inheriting\n  // from their superclass object (up to `Class` itself).\n  //\n  // NOTE: Actually in MRI a class' singleton class inherits from its\n  // superclass' singleton class which in turn inherits from Class.\n  //\n  // @param klass [Class]\n  // @return [Class]\n  Opal.build_class_singleton_class = function(object) {\n    var alloc, superclass, klass;\n\n    if (object.$$meta) {\n      return object.$$meta;\n    }\n\n    // The constructor and prototype of the singleton_class instances is the\n    // current class constructor and prototype.\n    alloc = object.constructor;\n\n    // The singleton_class superclass is the singleton_class of its superclass;\n    // but BasicObject has no superclass (its `$$super` is null), thus we\n    // fallback on `Class`.\n    superclass = object === BasicObject ? Class : Opal.build_class_singleton_class(object.$$super);\n\n    klass = Opal.setup_class_object(null, alloc, superclass.$$name, superclass.constructor);\n    klass.$$super  = superclass;\n    klass.$$parent = superclass;\n\n    klass.$$is_singleton = true;\n    klass.$$singleton_of = object;\n\n    return object.$$meta = klass;\n  };\n\n  // Build the singleton class for a Ruby (non class) Object.\n  //\n  // @param object [Object]\n  // @return [Class]\n  Opal.build_object_singleton_class = function(object) {\n    var superclass = object.$$class,\n        name = \"#<Class:#<\" + superclass.$$name + \":\" + superclass.$$id + \">>\";\n\n    var alloc = Opal.boot_class_alloc(name, function(){}, superclass)\n    var klass = Opal.setup_class_object(name, alloc, superclass.$$name, superclass.constructor);\n\n    klass.$$super  = superclass;\n    klass.$$parent = superclass;\n    klass.$$class  = superclass.$$class;\n    klass.$$proto  = object;\n\n    klass.$$is_singleton = true;\n    klass.$$singleton_of = object;\n\n    return object.$$meta = klass;\n  };\n\n  // Returns an object containing all pairs of names/values\n  // for all class variables defined in provided +module+\n  // and its ancestors.\n  //\n  // @param module [Module]\n  // @return [Object]\n  Opal.class_variables = function(module) {\n    var ancestors = Opal.ancestors(module),\n        i, length = ancestors.length,\n        result = {};\n\n    for (i = length - 1; i >= 0; i--) {\n      var ancestor = ancestors[i];\n\n      for (var cvar in ancestor.$$cvars) {\n        result[cvar] = ancestor.$$cvars[cvar];\n      }\n    }\n\n    return result;\n  }\n\n  // Sets class variable with specified +name+ to +value+\n  // in provided +module+\n  //\n  // @param module [Module]\n  // @param name [String]\n  // @param value [Object]\n  Opal.class_variable_set = function(module, name, value) {\n    var ancestors = Opal.ancestors(module),\n        i, length = ancestors.length;\n\n    for (i = length - 2; i >= 0; i--) {\n      var ancestor = ancestors[i];\n\n      if ($hasOwn.call(ancestor.$$cvars, name)) {\n        ancestor.$$cvars[name] = value;\n        return value;\n      }\n    }\n\n    module.$$cvars[name] = value;\n\n    return value;\n  }\n\n  // Bridges a single method.\n  //\n  // @param target [JS::Function] the constructor of the bridged class\n  // @param from [Module] the module/class we are importing the method from\n  // @param name [String] the method name in JS land (i.e. starting with $)\n  // @param body [JS::Function] the body of the method\n  Opal.bridge_method = function(target_constructor, from, name, body) {\n    var ancestors, i, ancestor, length;\n\n    ancestors = target_constructor.$$bridge.$ancestors();\n\n    // order important here, we have to check for method presence in\n    // ancestors from the bridged class to the last ancestor\n    for (i = 0, length = ancestors.length; i < length; i++) {\n      ancestor = ancestors[i];\n\n      if ($hasOwn.call(ancestor.$$proto, name) &&\n          ancestor.$$proto[name] &&\n          !ancestor.$$proto[name].$$donated &&\n          !ancestor.$$proto[name].$$stub &&\n          ancestor !== from) {\n        break;\n      }\n\n      if (ancestor === from) {\n        target_constructor.prototype[name] = body\n        break;\n      }\n    }\n  };\n\n  // Bridges from *donator* to a *target*.\n  //\n  // @param target [Module] the potentially associated with bridged classes module\n  // @param donator [Module] the module/class source of the methods that should be bridged\n  Opal.bridge_methods = function(target, donator) {\n    var i,\n        bridged = BridgedClasses[target.$__id__()],\n        donator_id = donator.$__id__();\n\n    if (bridged) {\n      BridgedClasses[donator_id] = bridged.slice();\n\n      for (i = bridged.length - 1; i >= 0; i--) {\n        Opal_bridge_methods_to_constructor(bridged[i], donator)\n      }\n    }\n  };\n\n  // Actually bridge methods to the bridged (shared) prototype.\n  function Opal_bridge_methods_to_constructor(target_constructor, donator) {\n    var i,\n        method,\n        methods = donator.$instance_methods();\n\n    for (i = methods.length - 1; i >= 0; i--) {\n      method = '$' + methods[i];\n      Opal.bridge_method(target_constructor, donator, method, donator.$$proto[method]);\n    }\n  }\n\n  // Associate the target as a bridged class for the current \"donator\"\n  function Opal_add_bridged_constructor(target_constructor, donator) {\n    var donator_id = donator.$__id__();\n\n    if (!BridgedClasses[donator_id]) {\n      BridgedClasses[donator_id] = [];\n    }\n    BridgedClasses[donator_id].push(target_constructor);\n  }\n\n  // Walks the dependency tree detecting the presence of the base among its\n  // own dependencies.\n  //\n  // @param [Integer] base_id The id of the base module (eg. the \"includer\")\n  // @param [Array<Module>] deps The array of dependencies (eg. the included module, included.$$deps)\n  // @param [String] prop The property that holds dependencies (eg. \"$$deps\")\n  // @param [JS::Object] seen A JS object holding the cache of already visited objects\n  // @return [Boolean] true if a cyclic dependency is present\n  Opal.has_cyclic_dep = function has_cyclic_dep(base_id, deps, prop, seen) {\n    var i, dep_id, dep;\n\n    for (i = deps.length - 1; i >= 0; i--) {\n      dep = deps[i];\n      dep_id = dep.$$id;\n\n      if (seen[dep_id]) {\n        continue;\n      }\n      seen[dep_id] = true;\n\n      if (dep_id === base_id) {\n        return true;\n      }\n\n      if (has_cyclic_dep(base_id, dep[prop], prop, seen)) {\n        return true;\n      }\n    }\n\n    return false;\n  }\n\n  // The actual inclusion of a module into a class.\n  //\n  // ## Class `$$parent` and `iclass`\n  //\n  // To handle `super` calls, every class has a `$$parent`. This parent is\n  // used to resolve the next class for a super call. A normal class would\n  // have this point to its superclass. However, if a class includes a module\n  // then this would need to take into account the module. The module would\n  // also have to then point its `$$parent` to the actual superclass. We\n  // cannot modify modules like this, because it might be included in more\n  // then one class. To fix this, we actually insert an `iclass` as the class'\n  // `$$parent` which can then point to the superclass. The `iclass` acts as\n  // a proxy to the actual module, so the `super` chain can then search it for\n  // the required method.\n  //\n  // @param module [Module] the module to include\n  // @param includer [Module] the target class to include module into\n  // @return [null]\n  Opal.append_features = function(module, includer) {\n    var iclass, donator, prototype, methods, id, i;\n\n    // check if this module is already included in the class\n    for (i = includer.$$inc.length - 1; i >= 0; i--) {\n      if (includer.$$inc[i] === module) {\n        return;\n      }\n    }\n\n    // Check that the base module is not also a dependency, classes can't be\n    // dependencies so we have a special case for them.\n    if (!includer.$$is_class && Opal.has_cyclic_dep(includer.$$id, [module], '$$inc', {})) {\n      throw Opal.ArgumentError.$new('cyclic include detected')\n    }\n\n    Opal.const_cache_version++;\n    includer.$$inc.push(module);\n    module.$$included_in.push(includer);\n    Opal.bridge_methods(includer, module);\n\n    // iclass\n    iclass = {\n      $$name:   module.$$name,\n      $$proto:  module.$$proto,\n      $$parent: includer.$$parent,\n      $$module: module,\n      $$iclass: true\n    };\n\n    includer.$$parent = iclass;\n\n    methods = module.$instance_methods();\n\n    for (i = methods.length - 1; i >= 0; i--) {\n      Opal.update_includer(module, includer, '$' + methods[i])\n    }\n  };\n\n  // Table that holds all methods that have been defined on all objects\n  // It is used for defining method stubs for new coming native classes\n  Opal.stubs = {};\n\n  // For performance, some core Ruby classes are toll-free bridged to their\n  // native JavaScript counterparts (e.g. a Ruby Array is a JavaScript Array).\n  //\n  // This method is used to setup a native constructor (e.g. Array), to have\n  // its prototype act like a normal Ruby class. Firstly, a new Ruby class is\n  // created using the native constructor so that its prototype is set as the\n  // target for th new class. Note: all bridged classes are set to inherit\n  // from Object.\n  //\n  // Example:\n  //\n  //    Opal.bridge(self, Function);\n  //\n  // @param klass       [Class] the Ruby class to bridge\n  // @param constructor [JS.Function] native JavaScript constructor to use\n  // @return [Class] returns the passed Ruby class\n  //\n  Opal.bridge = function(klass, constructor) {\n    if (constructor.$$bridge) {\n      throw Opal.ArgumentError.$new(\"already bridged\");\n    }\n\n    Opal.stub_subscribers.push(constructor.prototype);\n\n    // Populate constructor with previously stored stubs\n    for (var method_name in Opal.stubs) {\n      if (!(method_name in constructor.prototype)) {\n        constructor.prototype[method_name] = Opal.stub_for(method_name);\n      }\n    }\n\n    constructor.prototype.$$class = klass;\n    constructor.$$bridge          = klass;\n\n    var ancestors = klass.$ancestors();\n\n    // order important here, we have to bridge from the last ancestor to the\n    // bridged class\n    for (var i = ancestors.length - 1; i >= 0; i--) {\n      Opal_add_bridged_constructor(constructor, ancestors[i]);\n      Opal_bridge_methods_to_constructor(constructor, ancestors[i]);\n    }\n\n    for (var name in BasicObject_alloc.prototype) {\n      var method = BasicObject_alloc.prototype[method];\n\n      if (method && method.$$stub && !(name in constructor.prototype)) {\n        constructor.prototype[name] = method;\n      }\n    }\n\n    return klass;\n  };\n\n  // Update `jsid` method cache of all classes / modules including `module`.\n  Opal.update_includer = function(module, includer, jsid) {\n    var dest, current, body,\n        klass_includees, j, jj, current_owner_index, module_index;\n\n    body    = module.$$proto[jsid];\n    dest    = includer.$$proto;\n    current = dest[jsid];\n\n    if (dest.hasOwnProperty(jsid) && !current.$$donated && !current.$$stub) {\n      // target class has already defined the same method name - do nothing\n    }\n    else if (dest.hasOwnProperty(jsid) && !current.$$stub) {\n      // target class includes another module that has defined this method\n      klass_includees = includer.$$inc;\n\n      for (j = 0, jj = klass_includees.length; j < jj; j++) {\n        if (klass_includees[j] === current.$$donated) {\n          current_owner_index = j;\n        }\n        if (klass_includees[j] === module) {\n          module_index = j;\n        }\n      }\n\n      // only redefine method on class if the module was included AFTER\n      // the module which defined the current method body. Also make sure\n      // a module can overwrite a method it defined before\n      if (current_owner_index <= module_index) {\n        dest[jsid] = body;\n        dest[jsid].$$donated = module;\n      }\n    }\n    else {\n      // neither a class, or module included by class, has defined method\n      dest[jsid] = body;\n      dest[jsid].$$donated = module;\n    }\n\n    // if the includer is a module, recursively update all of its includres.\n    if (includer.$$included_in) {\n      Opal.update_includers(includer, jsid);\n    }\n  };\n\n  // Update `jsid` method cache of all classes / modules including `module`.\n  Opal.update_includers = function(module, jsid) {\n    var i, ii, includee, included_in;\n\n    included_in = module.$$included_in;\n\n    if (!included_in) {\n      return;\n    }\n\n    for (i = 0, ii = included_in.length; i < ii; i++) {\n      includee = included_in[i];\n      Opal.update_includer(module, includee, jsid);\n    }\n  };\n\n  // The Array of ancestors for a given module/class\n  Opal.ancestors = function(module_or_class) {\n    var parent = module_or_class,\n        result = [],\n        modules, i, ii, j, jj;\n\n    while (parent) {\n      result.push(parent);\n      for (i = parent.$$inc.length-1; i >= 0; i--) {\n        modules = Opal.ancestors(parent.$$inc[i]);\n\n        for(j = 0, jj = modules.length; j < jj; j++) {\n          result.push(modules[j]);\n        }\n      }\n\n      // only the actual singleton class gets included in its ancestry\n      // after that, traverse the normal class hierarchy\n      if (parent.$$is_singleton && parent.$$singleton_of.$$is_module) {\n        parent = parent.$$singleton_of.$$super;\n      }\n      else {\n        parent = parent.$$is_class ? parent.$$super : null;\n      }\n    }\n\n    return result;\n  };\n\n\n  // Method Missing\n  // --------------\n\n  // Methods stubs are used to facilitate method_missing in opal. A stub is a\n  // placeholder function which just calls `method_missing` on the receiver.\n  // If no method with the given name is actually defined on an object, then it\n  // is obvious to say that the stub will be called instead, and then in turn\n  // method_missing will be called.\n  //\n  // When a file in ruby gets compiled to javascript, it includes a call to\n  // this function which adds stubs for every method name in the compiled file.\n  // It should then be safe to assume that method_missing will work for any\n  // method call detected.\n  //\n  // Method stubs are added to the BasicObject prototype, which every other\n  // ruby object inherits, so all objects should handle method missing. A stub\n  // is only added if the given property name (method name) is not already\n  // defined.\n  //\n  // Note: all ruby methods have a `$` prefix in javascript, so all stubs will\n  // have this prefix as well (to make this method more performant).\n  //\n  //    Opal.add_stubs([\"$foo\", \"$bar\", \"$baz=\"]);\n  //\n  // All stub functions will have a private `$$stub` property set to true so\n  // that other internal methods can detect if a method is just a stub or not.\n  // `Kernel#respond_to?` uses this property to detect a methods presence.\n  //\n  // @param stubs [Array] an array of method stubs to add\n  // @return [undefined]\n  Opal.add_stubs = function(stubs) {\n    var subscriber, subscribers = Opal.stub_subscribers,\n        i, ilength = stubs.length,\n        j, jlength = subscribers.length,\n        method_name, stub,\n        opal_stubs = Opal.stubs;\n\n    for (i = 0; i < ilength; i++) {\n      method_name = stubs[i];\n\n      if(!opal_stubs.hasOwnProperty(method_name)) {\n        // Save method name to populate other subscribers with this stub\n        opal_stubs[method_name] = true;\n        stub = Opal.stub_for(method_name);\n\n        for (j = 0; j < jlength; j++) {\n          subscriber = subscribers[j];\n\n          if (!(method_name in subscriber)) {\n            subscriber[method_name] = stub;\n          }\n        }\n      }\n    }\n  };\n\n  // Keep a list of prototypes that want method_missing stubs to be added.\n  //\n  // @default [Prototype List] BasicObject_alloc.prototype\n  //\n  Opal.stub_subscribers = [BasicObject_alloc.prototype];\n\n  // Add a method_missing stub function to the given prototype for the\n  // given name.\n  //\n  // @param prototype [Prototype] the target prototype\n  // @param stub [String] stub name to add (e.g. \"$foo\")\n  // @return [undefined]\n  Opal.add_stub_for = function(prototype, stub) {\n    var method_missing_stub = Opal.stub_for(stub);\n    prototype[stub] = method_missing_stub;\n  };\n\n  // Generate the method_missing stub for a given method name.\n  //\n  // @param method_name [String] The js-name of the method to stub (e.g. \"$foo\")\n  // @return [undefined]\n  Opal.stub_for = function(method_name) {\n    function method_missing_stub() {\n      // Copy any given block onto the method_missing dispatcher\n      this.$method_missing.$$p = method_missing_stub.$$p;\n\n      // Set block property to null ready for the next call (stop false-positives)\n      method_missing_stub.$$p = null;\n\n      // call method missing with correct args (remove '$' prefix on method name)\n      var args_ary = new Array(arguments.length);\n      for(var i = 0, l = args_ary.length; i < l; i++) { args_ary[i] = arguments[i]; }\n\n      return this.$method_missing.apply(this, [method_name.slice(1)].concat(args_ary));\n    }\n\n    method_missing_stub.$$stub = true;\n\n    return method_missing_stub;\n  };\n\n\n  // Methods\n  // -------\n\n  // Arity count error dispatcher for methods\n  //\n  // @param actual [Fixnum] number of arguments given to method\n  // @param expected [Fixnum] expected number of arguments\n  // @param object [Object] owner of the method +meth+\n  // @param meth [String] method name that got wrong number of arguments\n  // @raise [ArgumentError]\n  Opal.ac = function(actual, expected, object, meth) {\n    var inspect = '';\n    if (object.$$is_class || object.$$is_module) {\n      inspect += object.$$name + '.';\n    }\n    else {\n      inspect += object.$$class.$$name + '#';\n    }\n    inspect += meth;\n\n    throw Opal.ArgumentError.$new('[' + inspect + '] wrong number of arguments(' + actual + ' for ' + expected + ')');\n  };\n\n  // Arity count error dispatcher for blocks\n  //\n  // @param actual [Fixnum] number of arguments given to block\n  // @param expected [Fixnum] expected number of arguments\n  // @param context [Object] context of the block definition\n  // @raise [ArgumentError]\n  Opal.block_ac = function(actual, expected, context) {\n    var inspect = \"`block in \" + context + \"'\";\n\n    throw Opal.ArgumentError.$new(inspect + ': wrong number of arguments (' + actual + ' for ' + expected + ')');\n  };\n\n  // Super dispatcher\n  Opal.find_super_dispatcher = function(obj, mid, current_func, defcheck, defs) {\n    var dispatcher, super_method;\n\n    if (defs) {\n      if (obj.$$is_class || obj.$$is_module) {\n        dispatcher = defs.$$super;\n      }\n      else {\n        dispatcher = obj.$$class.$$proto;\n      }\n    }\n    else {\n      dispatcher = Opal.find_obj_super_dispatcher(obj, mid, current_func);\n    }\n\n    super_method = dispatcher['$' + mid];\n\n    if (!defcheck && super_method.$$stub && Opal.Kernel.$method_missing === obj.$method_missing) {\n      // method_missing hasn't been explicitly defined\n      throw Opal.NoMethodError.$new('super: no superclass method `'+mid+\"' for \"+obj, mid);\n    }\n\n    return super_method;\n  };\n\n  // Iter dispatcher for super in a block\n  Opal.find_iter_super_dispatcher = function(obj, jsid, current_func, defcheck, implicit) {\n    var call_jsid = jsid;\n\n    if (!current_func) {\n      throw Opal.RuntimeError.$new(\"super called outside of method\");\n    }\n\n    if (implicit && current_func.$$define_meth) {\n      throw Opal.RuntimeError.$new(\"implicit argument passing of super from method defined by define_method() is not supported. Specify all arguments explicitly\");\n    }\n\n    if (current_func.$$def) {\n      call_jsid = current_func.$$jsid;\n    }\n\n    return Opal.find_super_dispatcher(obj, call_jsid, current_func, defcheck);\n  };\n\n  Opal.find_obj_super_dispatcher = function(obj, mid, current_func) {\n    var klass = obj.$$meta || obj.$$class;\n\n    // first we need to find the class/module current_func is located on\n    klass = Opal.find_owning_class(klass, current_func);\n\n    if (!klass) {\n      throw new Error(\"could not find current class for super()\");\n    }\n\n    return Opal.find_super_func(klass, '$' + mid, current_func);\n  };\n\n  Opal.find_owning_class = function(klass, current_func) {\n    var owner = current_func.$$owner;\n\n    while (klass) {\n      // repeating for readability\n\n      if (klass.$$iclass && klass.$$module === current_func.$$donated) {\n        // this klass was the last one the module donated to\n        // case is also hit with multiple module includes\n        break;\n      }\n      else if (klass.$$iclass && klass.$$module === owner) {\n        // module has donated to other classes but klass isn't one of those\n        break;\n      }\n      else if (owner.$$is_singleton && klass === owner.$$singleton_of.$$class) {\n        // cases like stdlib `Singleton::included` that use a singleton of a singleton\n        break;\n      }\n      else if (klass === owner) {\n        // no modules, pure class inheritance\n        break;\n      }\n\n      klass = klass.$$parent;\n    }\n\n    return klass;\n  };\n\n  Opal.find_super_func = function(owning_klass, jsid, current_func) {\n    var klass = owning_klass.$$parent;\n\n    // now we can find the super\n    while (klass) {\n      var working = klass.$$proto[jsid];\n\n      if (working && working !== current_func) {\n        // ok\n        break;\n      }\n\n      klass = klass.$$parent;\n    }\n\n    return klass.$$proto;\n  };\n\n  // Used to return as an expression. Sometimes, we can't simply return from\n  // a javascript function as if we were a method, as the return is used as\n  // an expression, or even inside a block which must \"return\" to the outer\n  // method. This helper simply throws an error which is then caught by the\n  // method. This approach is expensive, so it is only used when absolutely\n  // needed.\n  //\n  Opal.ret = function(val) {\n    Opal.returner.$v = val;\n    throw Opal.returner;\n  };\n\n  // Used to break out of a block.\n  Opal.brk = function(val, breaker) {\n    breaker.$v = val;\n    throw breaker;\n  };\n\n  // Builds a new unique breaker, this is to avoid multiple nested breaks to get\n  // in the way of each other.\n  Opal.new_brk = function() {\n    return new Error('unexpected break');\n  };\n\n  // handles yield calls for 1 yielded arg\n  Opal.yield1 = function(block, arg) {\n    if (typeof(block) !== \"function\") {\n      throw Opal.LocalJumpError.$new(\"no block given\");\n    }\n\n    var has_mlhs = block.$$has_top_level_mlhs_arg,\n        has_trailing_comma = block.$$has_trailing_comma_in_args;\n\n    if (block.length > 1 || ((has_mlhs || has_trailing_comma) && block.length === 1)) {\n      arg = Opal.to_ary(arg);\n    }\n\n    if ((block.length > 1 || (has_trailing_comma && block.length === 1)) && arg.$$is_array) {\n      return block.apply(null, arg);\n    }\n    else {\n      return block(arg);\n    }\n  };\n\n  // handles yield for > 1 yielded arg\n  Opal.yieldX = function(block, args) {\n    if (typeof(block) !== \"function\") {\n      throw Opal.LocalJumpError.$new(\"no block given\");\n    }\n\n    if (block.length > 1 && args.length === 1) {\n      if (args[0].$$is_array) {\n        return block.apply(null, args[0]);\n      }\n    }\n\n    if (!args.$$is_array) {\n      var args_ary = new Array(args.length);\n      for(var i = 0, l = args_ary.length; i < l; i++) { args_ary[i] = args[i]; }\n\n      return block.apply(null, args_ary);\n    }\n\n    return block.apply(null, args);\n  };\n\n  // Finds the corresponding exception match in candidates.  Each candidate can\n  // be a value, or an array of values.  Returns null if not found.\n  Opal.rescue = function(exception, candidates) {\n    for (var i = 0; i < candidates.length; i++) {\n      var candidate = candidates[i];\n\n      if (candidate.$$is_array) {\n        var result = Opal.rescue(exception, candidate);\n\n        if (result) {\n          return result;\n        }\n      }\n      else if (candidate === Opal.JS.Error) {\n        return candidate;\n      }\n      else if (candidate['$==='](exception)) {\n        return candidate;\n      }\n    }\n\n    return null;\n  };\n\n  Opal.is_a = function(object, klass) {\n    if (object.$$meta === klass || object.$$class === klass) {\n      return true;\n    }\n\n    if (object.$$is_number && klass.$$is_number_class) {\n      return true;\n    }\n\n    var i, length, ancestors = Opal.ancestors(object.$$is_class ? Opal.get_singleton_class(object) : (object.$$meta || object.$$class));\n\n    for (i = 0, length = ancestors.length; i < length; i++) {\n      if (ancestors[i] === klass) {\n        return true;\n      }\n    }\n\n    return false;\n  };\n\n  // Helpers for extracting kwsplats\n  // Used for: { **h }\n  Opal.to_hash = function(value) {\n    if (value.$$is_hash) {\n      return value;\n    }\n    else if (value['$respond_to?']('to_hash', true)) {\n      var hash = value.$to_hash();\n      if (hash.$$is_hash) {\n        return hash;\n      }\n      else {\n        throw Opal.TypeError.$new(\"Can't convert \" + value.$$class +\n          \" to Hash (\" + value.$$class + \"#to_hash gives \" + hash.$$class + \")\");\n      }\n    }\n    else {\n      throw Opal.TypeError.$new(\"no implicit conversion of \" + value.$$class + \" into Hash\");\n    }\n  };\n\n  // Helpers for implementing multiple assignment\n  // Our code for extracting the values and assigning them only works if the\n  // return value is a JS array.\n  // So if we get an Array subclass, extract the wrapped JS array from it\n\n  // Used for: a, b = something (no splat)\n  Opal.to_ary = function(value) {\n    if (value.$$is_array) {\n      return value;\n    }\n    else if (value['$respond_to?']('to_ary', true)) {\n      var ary = value.$to_ary();\n      if (ary === nil) {\n        return [value];\n      }\n      else if (ary.$$is_array) {\n        return ary;\n      }\n      else {\n        throw Opal.TypeError.$new(\"Can't convert \" + value.$$class +\n          \" to Array (\" + value.$$class + \"#to_ary gives \" + ary.$$class + \")\");\n      }\n    }\n    else {\n      return [value];\n    }\n  };\n\n  // Used for: a, b = *something (with splat)\n  Opal.to_a = function(value) {\n    if (value.$$is_array) {\n      // A splatted array must be copied\n      return value.slice();\n    }\n    else if (value['$respond_to?']('to_a', true)) {\n      var ary = value.$to_a();\n      if (ary === nil) {\n        return [value];\n      }\n      else if (ary.$$is_array) {\n        return ary;\n      }\n      else {\n        throw Opal.TypeError.$new(\"Can't convert \" + value.$$class +\n          \" to Array (\" + value.$$class + \"#to_a gives \" + ary.$$class + \")\");\n      }\n    }\n    else {\n      return [value];\n    }\n  };\n\n  // Used for extracting keyword arguments from arguments passed to\n  // JS function. If provided +arguments+ list doesn't have a Hash\n  // as a last item, returns a blank Hash.\n  //\n  // @param parameters [Array]\n  // @return [Hash]\n  //\n  Opal.extract_kwargs = function(parameters) {\n    var kwargs = parameters[parameters.length - 1];\n    if (kwargs != null && kwargs['$respond_to?']('to_hash', true)) {\n      Array.prototype.splice.call(parameters, parameters.length - 1, 1);\n      return kwargs.$to_hash();\n    }\n    else {\n      return Opal.hash2([], {});\n    }\n  }\n\n  // Used to get a list of rest keyword arguments. Method takes the given\n  // keyword args, i.e. the hash literal passed to the method containing all\n  // keyword arguemnts passed to method, as well as the used args which are\n  // the names of required and optional arguments defined. This method then\n  // just returns all key/value pairs which have not been used, in a new\n  // hash literal.\n  //\n  // @param given_args [Hash] all kwargs given to method\n  // @param used_args [Object<String: true>] all keys used as named kwargs\n  // @return [Hash]\n  //\n  Opal.kwrestargs = function(given_args, used_args) {\n    var keys      = [],\n        map       = {},\n        key       = null,\n        given_map = given_args.$$smap;\n\n    for (key in given_map) {\n      if (!used_args[key]) {\n        keys.push(key);\n        map[key] = given_map[key];\n      }\n    }\n\n    return Opal.hash2(keys, map);\n  };\n\n  // Calls passed method on a ruby object with arguments and block:\n  //\n  // Can take a method or a method name.\n  //\n  // 1. When method name gets passed it invokes it by its name\n  //    and calls 'method_missing' when object doesn't have this method.\n  //    Used internally by Opal to invoke method that takes a block or a splat.\n  // 2. When method (i.e. method body) gets passed, it doesn't trigger 'method_missing'\n  //    because it doesn't know the name of the actual method.\n  //    Used internally by Opal to invoke 'super'.\n  //\n  // @example\n  //   var my_array = [1, 2, 3, 4]\n  //   Opal.send(my_array, 'length')                    # => 4\n  //   Opal.send(my_array, my_array.$length)            # => 4\n  //\n  //   Opal.send(my_array, 'reverse!')                  # => [4, 3, 2, 1]\n  //   Opal.send(my_array, my_array['$reverse!']')      # => [4, 3, 2, 1]\n  //\n  // @param recv [Object] ruby object\n  // @param method [Function, String] method body or name of the method\n  // @param args [Array] arguments that will be passed to the method call\n  // @param block [Function] ruby block\n  // @return [Object] returning value of the method call\n  Opal.send = function(recv, method, args, block) {\n    var body = (typeof(method) === 'string') ? recv['$'+method] : method;\n\n    if (body != null) {\n      body.$$p = block;\n      return body.apply(recv, args);\n    }\n\n    return recv.$method_missing.apply(recv, [method].concat(args));\n  }\n\n  Opal.lambda = function(block) {\n    block.$$is_lambda = true;\n    return block;\n  }\n\n  // Used to define methods on an object. This is a helper method, used by the\n  // compiled source to define methods on special case objects when the compiler\n  // can not determine the destination object, or the object is a Module\n  // instance. This can get called by `Module#define_method` as well.\n  //\n  // ## Modules\n  //\n  // Any method defined on a module will come through this runtime helper.\n  // The method is added to the module body, and the owner of the method is\n  // set to be the module itself. This is used later when choosing which\n  // method should show on a class if more than 1 included modules define\n  // the same method. Finally, if the module is in `module_function` mode,\n  // then the method is also defined onto the module itself.\n  //\n  // ## Classes\n  //\n  // This helper will only be called for classes when a method is being\n  // defined indirectly; either through `Module#define_method`, or by a\n  // literal `def` method inside an `instance_eval` or `class_eval` body. In\n  // either case, the method is simply added to the class' prototype. A special\n  // exception exists for `BasicObject` and `Object`. These two classes are\n  // special because they are used in toll-free bridged classes. In each of\n  // these two cases, extra work is required to define the methods on toll-free\n  // bridged class' prototypes as well.\n  //\n  // ## Objects\n  //\n  // If a simple ruby object is the object, then the method is simply just\n  // defined on the object as a singleton method. This would be the case when\n  // a method is defined inside an `instance_eval` block.\n  //\n  // @param obj  [Object, Class] the actual obj to define method for\n  // @param jsid [String] the JavaScript friendly method name (e.g. '$foo')\n  // @param body [JS.Function] the literal JavaScript function used as method\n  // @return [null]\n  //\n  Opal.def = function(obj, jsid, body) {\n    // Special case for a method definition in the\n    // top-level namespace\n    if (obj === Opal.top) {\n      Opal.defn(Opal.Object, jsid, body)\n    }\n    // if instance_eval is invoked on a module/class, it sets inst_eval_mod\n    else if (!obj.$$eval && (obj.$$is_class || obj.$$is_module)) {\n      Opal.defn(obj, jsid, body);\n    }\n    else {\n      Opal.defs(obj, jsid, body);\n    }\n  };\n\n  // Define method on a module or class (see Opal.def).\n  Opal.defn = function(obj, jsid, body) {\n    obj.$$proto[jsid] = body;\n    // for super dispatcher, etc.\n    body.$$owner = obj;\n    if (body.displayName == null) body.displayName = jsid.substr(1);\n\n    // is it a module?\n    if (obj.$$is_module) {\n      Opal.update_includers(obj, jsid);\n\n      if (obj.$$module_function) {\n        Opal.defs(obj, jsid, body);\n      }\n    }\n\n    // is it a bridged class?\n    var bridged = obj.$__id__ && !obj.$__id__.$$stub && BridgedClasses[obj.$__id__()];\n    if (bridged) {\n      for (var i = bridged.length - 1; i >= 0; i--) {\n        Opal.bridge_method(bridged[i], obj, jsid, body);\n      }\n    }\n\n    // method_added/singleton_method_added hooks\n    var singleton_of = obj.$$singleton_of;\n    if (obj.$method_added && !obj.$method_added.$$stub && !singleton_of) {\n      obj.$method_added(jsid.substr(1));\n    }\n    else if (singleton_of && singleton_of.$singleton_method_added && !singleton_of.$singleton_method_added.$$stub) {\n      singleton_of.$singleton_method_added(jsid.substr(1));\n    }\n\n    return nil;\n  };\n\n  // Define a singleton method on the given object (see Opal.def).\n  Opal.defs = function(obj, jsid, body) {\n    Opal.defn(Opal.get_singleton_class(obj), jsid, body)\n  };\n\n  // Called from #remove_method.\n  Opal.rdef = function(obj, jsid) {\n    // TODO: remove from BridgedClasses as well\n\n    if (!$hasOwn.call(obj.$$proto, jsid)) {\n      throw Opal.NameError.$new(\"method '\" + jsid.substr(1) + \"' not defined in \" + obj.$name());\n    }\n\n    delete obj.$$proto[jsid];\n\n    if (obj.$$is_singleton) {\n      if (obj.$$proto.$singleton_method_removed && !obj.$$proto.$singleton_method_removed.$$stub) {\n        obj.$$proto.$singleton_method_removed(jsid.substr(1));\n      }\n    }\n    else {\n      if (obj.$method_removed && !obj.$method_removed.$$stub) {\n        obj.$method_removed(jsid.substr(1));\n      }\n    }\n  };\n\n  // Called from #undef_method.\n  Opal.udef = function(obj, jsid) {\n    if (!obj.$$proto[jsid] || obj.$$proto[jsid].$$stub) {\n      throw Opal.NameError.$new(\"method '\" + jsid.substr(1) + \"' not defined in \" + obj.$name());\n    }\n\n    Opal.add_stub_for(obj.$$proto, jsid);\n\n    if (obj.$$is_singleton) {\n      if (obj.$$proto.$singleton_method_undefined && !obj.$$proto.$singleton_method_undefined.$$stub) {\n        obj.$$proto.$singleton_method_undefined(jsid.substr(1));\n      }\n    }\n    else {\n      if (obj.$method_undefined && !obj.$method_undefined.$$stub) {\n        obj.$method_undefined(jsid.substr(1));\n      }\n    }\n  };\n\n  Opal.alias = function(obj, name, old) {\n    var id     = '$' + name,\n        old_id = '$' + old,\n        body   = obj.$$proto['$' + old],\n        alias;\n\n    // When running inside #instance_eval the alias refers to class methods.\n    if (obj.$$eval) {\n      return Opal.alias(Opal.get_singleton_class(obj), name, old);\n    }\n\n    if (typeof(body) !== \"function\" || body.$$stub) {\n      var ancestor = obj.$$super;\n\n      while (typeof(body) !== \"function\" && ancestor) {\n        body     = ancestor[old_id];\n        ancestor = ancestor.$$super;\n      }\n\n      if (typeof(body) !== \"function\" || body.$$stub) {\n        throw Opal.NameError.$new(\"undefined method `\" + old + \"' for class `\" + obj.$name() + \"'\")\n      }\n    }\n\n    // If the body is itself an alias use the original body\n    // to keep the max depth at 1.\n    if (body.$$alias_of) body = body.$$alias_of;\n\n    // We need a wrapper because otherwise method $$owner and other properties\n    // would be ovrewritten on the original body.\n    alias = function() {\n      var block = alias.$$p, args, i, ii;\n\n      args = new Array(arguments.length);\n      for(i = 0, ii = arguments.length; i < ii; i++) {\n        args[i] = arguments[i];\n      }\n\n      if (block != null) { alias.$$p = null }\n\n      return Opal.send(this, body, args, block);\n    };\n\n    // Try to make the browser pick the right name\n    alias.displayName       = name;\n    alias.length            = body.length;\n    alias.$$arity           = body.$$arity;\n    alias.$$parameters      = body.$$parameters;\n    alias.$$source_location = body.$$source_location;\n    alias.$$alias_of        = body;\n    alias.$$alias_name      = name;\n\n    Opal.defn(obj, id, alias);\n\n    return obj;\n  };\n\n  Opal.alias_native = function(obj, name, native_name) {\n    var id   = '$' + name,\n        body = obj.$$proto[native_name];\n\n    if (typeof(body) !== \"function\" || body.$$stub) {\n      throw Opal.NameError.$new(\"undefined native method `\" + native_name + \"' for class `\" + obj.$name() + \"'\")\n    }\n\n    Opal.defn(obj, id, body);\n\n    return obj;\n  };\n\n\n  // Hashes\n  // ------\n\n  Opal.hash_init = function(hash) {\n    hash.$$smap = Object.create(null);\n    hash.$$map  = Object.create(null);\n    hash.$$keys = [];\n  };\n\n  Opal.hash_clone = function(from_hash, to_hash) {\n    to_hash.$$none = from_hash.$$none;\n    to_hash.$$proc = from_hash.$$proc;\n\n    for (var i = 0, keys = from_hash.$$keys, smap = from_hash.$$smap, len = keys.length, key, value; i < len; i++) {\n      key = keys[i];\n\n      if (key.$$is_string) {\n        value = smap[key];\n      } else {\n        value = key.value;\n        key = key.key;\n      }\n\n      Opal.hash_put(to_hash, key, value);\n    }\n  };\n\n  Opal.hash_put = function(hash, key, value) {\n    if (key.$$is_string) {\n      if (!$hasOwn.call(hash.$$smap, key)) {\n        hash.$$keys.push(key);\n      }\n      hash.$$smap[key] = value;\n      return;\n    }\n\n    var key_hash, bucket, last_bucket;\n    key_hash = hash.$$by_identity ? Opal.id(key) : key.$hash();\n\n    if (!$hasOwn.call(hash.$$map, key_hash)) {\n      bucket = {key: key, key_hash: key_hash, value: value};\n      hash.$$keys.push(bucket);\n      hash.$$map[key_hash] = bucket;\n      return;\n    }\n\n    bucket = hash.$$map[key_hash];\n\n    while (bucket) {\n      if (key === bucket.key || key['$eql?'](bucket.key)) {\n        last_bucket = undefined;\n        bucket.value = value;\n        break;\n      }\n      last_bucket = bucket;\n      bucket = bucket.next;\n    }\n\n    if (last_bucket) {\n      bucket = {key: key, key_hash: key_hash, value: value};\n      hash.$$keys.push(bucket);\n      last_bucket.next = bucket;\n    }\n  };\n\n  Opal.hash_get = function(hash, key) {\n    if (key.$$is_string) {\n      if ($hasOwn.call(hash.$$smap, key)) {\n        return hash.$$smap[key];\n      }\n      return;\n    }\n\n    var key_hash, bucket;\n    key_hash = hash.$$by_identity ? Opal.id(key) : key.$hash();\n\n    if ($hasOwn.call(hash.$$map, key_hash)) {\n      bucket = hash.$$map[key_hash];\n\n      while (bucket) {\n        if (key === bucket.key || key['$eql?'](bucket.key)) {\n          return bucket.value;\n        }\n        bucket = bucket.next;\n      }\n    }\n  };\n\n  Opal.hash_delete = function(hash, key) {\n    var i, keys = hash.$$keys, length = keys.length, value;\n\n    if (key.$$is_string) {\n      if (!$hasOwn.call(hash.$$smap, key)) {\n        return;\n      }\n\n      for (i = 0; i < length; i++) {\n        if (keys[i] === key) {\n          keys.splice(i, 1);\n          break;\n        }\n      }\n\n      value = hash.$$smap[key];\n      delete hash.$$smap[key];\n      return value;\n    }\n\n    var key_hash = key.$hash();\n\n    if (!$hasOwn.call(hash.$$map, key_hash)) {\n      return;\n    }\n\n    var bucket = hash.$$map[key_hash], last_bucket;\n\n    while (bucket) {\n      if (key === bucket.key || key['$eql?'](bucket.key)) {\n        value = bucket.value;\n\n        for (i = 0; i < length; i++) {\n          if (keys[i] === bucket) {\n            keys.splice(i, 1);\n            break;\n          }\n        }\n\n        if (last_bucket && bucket.next) {\n          last_bucket.next = bucket.next;\n        }\n        else if (last_bucket) {\n          delete last_bucket.next;\n        }\n        else if (bucket.next) {\n          hash.$$map[key_hash] = bucket.next;\n        }\n        else {\n          delete hash.$$map[key_hash];\n        }\n\n        return value;\n      }\n      last_bucket = bucket;\n      bucket = bucket.next;\n    }\n  };\n\n  Opal.hash_rehash = function(hash) {\n    for (var i = 0, length = hash.$$keys.length, key_hash, bucket, last_bucket; i < length; i++) {\n\n      if (hash.$$keys[i].$$is_string) {\n        continue;\n      }\n\n      key_hash = hash.$$keys[i].key.$hash();\n\n      if (key_hash === hash.$$keys[i].key_hash) {\n        continue;\n      }\n\n      bucket = hash.$$map[hash.$$keys[i].key_hash];\n      last_bucket = undefined;\n\n      while (bucket) {\n        if (bucket === hash.$$keys[i]) {\n          if (last_bucket && bucket.next) {\n            last_bucket.next = bucket.next;\n          }\n          else if (last_bucket) {\n            delete last_bucket.next;\n          }\n          else if (bucket.next) {\n            hash.$$map[hash.$$keys[i].key_hash] = bucket.next;\n          }\n          else {\n            delete hash.$$map[hash.$$keys[i].key_hash];\n          }\n          break;\n        }\n        last_bucket = bucket;\n        bucket = bucket.next;\n      }\n\n      hash.$$keys[i].key_hash = key_hash;\n\n      if (!$hasOwn.call(hash.$$map, key_hash)) {\n        hash.$$map[key_hash] = hash.$$keys[i];\n        continue;\n      }\n\n      bucket = hash.$$map[key_hash];\n      last_bucket = undefined;\n\n      while (bucket) {\n        if (bucket === hash.$$keys[i]) {\n          last_bucket = undefined;\n          break;\n        }\n        last_bucket = bucket;\n        bucket = bucket.next;\n      }\n\n      if (last_bucket) {\n        last_bucket.next = hash.$$keys[i];\n      }\n    }\n  };\n\n  Opal.hash = function() {\n    var arguments_length = arguments.length, args, hash, i, length, key, value;\n\n    if (arguments_length === 1 && arguments[0].$$is_hash) {\n      return arguments[0];\n    }\n\n    hash = new Opal.Hash.$$alloc();\n    Opal.hash_init(hash);\n\n    if (arguments_length === 1 && arguments[0].$$is_array) {\n      args = arguments[0];\n      length = args.length;\n\n      for (i = 0; i < length; i++) {\n        if (args[i].length !== 2) {\n          throw Opal.ArgumentError.$new(\"value not of length 2: \" + args[i].$inspect());\n        }\n\n        key = args[i][0];\n        value = args[i][1];\n\n        Opal.hash_put(hash, key, value);\n      }\n\n      return hash;\n    }\n\n    if (arguments_length === 1) {\n      args = arguments[0];\n      for (key in args) {\n        if ($hasOwn.call(args, key)) {\n          value = args[key];\n\n          Opal.hash_put(hash, key, value);\n        }\n      }\n\n      return hash;\n    }\n\n    if (arguments_length % 2 !== 0) {\n      throw Opal.ArgumentError.$new(\"odd number of arguments for Hash\");\n    }\n\n    for (i = 0; i < arguments_length; i += 2) {\n      key = arguments[i];\n      value = arguments[i + 1];\n\n      Opal.hash_put(hash, key, value);\n    }\n\n    return hash;\n  };\n\n  // A faster Hash creator for hashes that just use symbols and\n  // strings as keys. The map and keys array can be constructed at\n  // compile time, so they are just added here by the constructor\n  // function.\n  //\n  Opal.hash2 = function(keys, smap) {\n    var hash = new Opal.Hash.$$alloc();\n\n    hash.$$smap = smap;\n    hash.$$map  = Object.create(null);\n    hash.$$keys = keys;\n\n    return hash;\n  };\n\n  // Create a new range instance with first and last values, and whether the\n  // range excludes the last value.\n  //\n  Opal.range = function(first, last, exc) {\n    var range         = new Opal.Range.$$alloc();\n        range.begin   = first;\n        range.end     = last;\n        range.excl    = exc;\n\n    return range;\n  };\n\n  // Get the ivar name for a given name.\n  // Mostly adds a trailing $ to reserved names.\n  //\n  Opal.ivar = function(name) {\n    if (\n        // properties\n        name === \"constructor\" ||\n        name === \"displayName\" ||\n        name === \"__count__\" ||\n        name === \"__noSuchMethod__\" ||\n        name === \"__parent__\" ||\n        name === \"__proto__\" ||\n\n        // methods\n        name === \"hasOwnProperty\" ||\n        name === \"valueOf\"\n       )\n    {\n      return name + \"$\";\n    }\n\n    return name;\n  };\n\n\n  // Regexps\n  // -------\n\n  // Escape Regexp special chars letting the resulting string be used to build\n  // a new Regexp.\n  //\n  Opal.escape_regexp = function(str) {\n    return str.replace(/([-[\\]\\/{}()*+?.^$\\\\| ])/g, '\\\\$1')\n              .replace(/[\\n]/g, '\\\\n')\n              .replace(/[\\r]/g, '\\\\r')\n              .replace(/[\\f]/g, '\\\\f')\n              .replace(/[\\t]/g, '\\\\t');\n  }\n\n\n  // Require system\n  // --------------\n\n  Opal.modules         = {};\n  Opal.loaded_features = ['corelib/runtime'];\n  Opal.current_dir     = '.'\n  Opal.require_table   = {'corelib/runtime': true};\n\n  Opal.normalize = function(path) {\n    var parts, part, new_parts = [], SEPARATOR = '/';\n\n    if (Opal.current_dir !== '.') {\n      path = Opal.current_dir.replace(/\\/*$/, '/') + path;\n    }\n\n    path = path.replace(/^\\.\\//, '');\n    path = path.replace(/\\.(rb|opal|js)$/, '');\n    parts = path.split(SEPARATOR);\n\n    for (var i = 0, ii = parts.length; i < ii; i++) {\n      part = parts[i];\n      if (part === '') continue;\n      (part === '..') ? new_parts.pop() : new_parts.push(part)\n    }\n\n    return new_parts.join(SEPARATOR);\n  };\n\n  Opal.loaded = function(paths) {\n    var i, l, path;\n\n    for (i = 0, l = paths.length; i < l; i++) {\n      path = Opal.normalize(paths[i]);\n\n      if (Opal.require_table[path]) {\n        return;\n      }\n\n      Opal.loaded_features.push(path);\n      Opal.require_table[path] = true;\n    }\n  };\n\n  Opal.load = function(path) {\n    path = Opal.normalize(path);\n\n    Opal.loaded([path]);\n\n    var module = Opal.modules[path];\n\n    if (module) {\n      module(Opal);\n    }\n    else {\n      var severity = Opal.config.missing_require_severity;\n      var message  = 'cannot load such file -- ' + path;\n\n      if (severity === \"error\") {\n        if (Opal.LoadError) {\n          throw Opal.LoadError.$new(message)\n        } else {\n          throw message\n        }\n      }\n      else if (severity === \"warning\") {\n        console.warn('WARNING: LoadError: ' + message);\n      }\n    }\n\n    return true;\n  };\n\n  Opal.require = function(path) {\n    path = Opal.normalize(path);\n\n    if (Opal.require_table[path]) {\n      return false;\n    }\n\n    return Opal.load(path);\n  };\n\n\n  // Initialization\n  // --------------\n\n  // Constructors for *instances* of core objects\n  Opal.boot_class_alloc('BasicObject', BasicObject_alloc);\n  Opal.boot_class_alloc('Object',      Object_alloc,       BasicObject_alloc);\n  Opal.boot_class_alloc('Module',      Module_alloc,       Object_alloc);\n  Opal.boot_class_alloc('Class',       Class_alloc,        Module_alloc);\n\n  // Constructors for *classes* of core objects\n  Opal.BasicObject = BasicObject = Opal.setup_class_object('BasicObject', BasicObject_alloc, 'Class',       Class_alloc);\n  Opal.Object      = _Object     = Opal.setup_class_object('Object',      Object_alloc,      'BasicObject', BasicObject.constructor);\n  Opal.Module      = Module      = Opal.setup_class_object('Module',      Module_alloc,      'Object',      _Object.constructor);\n  Opal.Class       = Class       = Opal.setup_class_object('Class',       Class_alloc,       'Module',      Module.constructor);\n\n  // BasicObject can reach itself, avoid const_set to skip the $$base_module logic\n  BasicObject.$$const[\"BasicObject\"] = BasicObject;\n\n  // Assign basic constants\n  Opal.const_set(_Object, \"BasicObject\",  BasicObject);\n  Opal.const_set(_Object, \"Object\",       _Object);\n  Opal.const_set(_Object, \"Module\",       Module);\n  Opal.const_set(_Object, \"Class\",        Class);\n\n\n  // Fix booted classes to use their metaclass\n  BasicObject.$$class = Class;\n  _Object.$$class     = Class;\n  Module.$$class      = Class;\n  Class.$$class       = Class;\n\n  // Fix superclasses of booted classes\n  BasicObject.$$super = null;\n  _Object.$$super     = BasicObject;\n  Module.$$super      = _Object;\n  Class.$$super       = Module;\n\n  BasicObject.$$parent = null;\n  _Object.$$parent     = BasicObject;\n  Module.$$parent      = _Object;\n  Class.$$parent       = Module;\n\n  // Forward .toString() to #to_s\n  _Object.$$proto.toString = function() {\n    var to_s = this.$to_s();\n    if (to_s.$$is_string && typeof(to_s) === 'object') {\n      // a string created using new String('string')\n      return to_s.valueOf();\n    } else {\n      return to_s;\n    }\n  };\n\n  // Make Kernel#require immediately available as it's needed to require all the\n  // other corelib files.\n  _Object.$$proto.$require = Opal.require;\n\n  // Add a short helper to navigate constants manually.\n  // @example\n  //   Opal.$$.Regexp.$$.IGNORECASE\n  Opal.$$ = _Object.$$;\n\n  // Instantiate the main object\n  Opal.top = new _Object.$$alloc();\n  Opal.top.$to_s = Opal.top.$inspect = function() { return 'main' };\n\n  // Nil\n  Opal.klass(_Object, _Object, 'NilClass', NilClass_alloc);\n  nil = Opal.nil = new NilClass_alloc();\n  nil.$$id = nil_id;\n  nil.call = nil.apply = function() { throw Opal.LocalJumpError.$new('no block given'); };\n\n  // Errors\n  Opal.breaker  = new Error('unexpected break (old)');\n  Opal.returner = new Error('unexpected return');\n  TypeError.$$super = Error;\n}).call(this);\nOpal.loaded([\"corelib/runtime\"]);\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/helpers\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$new', '$class', '$===', '$respond_to?', '$raise', '$type_error', '$__send__', '$coerce_to', '$nil?', '$<=>', '$coerce_to!', '$!=', '$[]', '$upcase']);\n  return (function($base, $parent_nesting) {\n    var $Opal, self = $Opal = $module($base, 'Opal');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Opal_bridge_1, TMP_Opal_type_error_2, TMP_Opal_coerce_to_3, TMP_Opal_coerce_to$B_4, TMP_Opal_coerce_to$q_5, TMP_Opal_try_convert_6, TMP_Opal_compare_7, TMP_Opal_destructure_8, TMP_Opal_respond_to$q_9, TMP_Opal_inspect_obj_10, TMP_Opal_instance_variable_name$B_11, TMP_Opal_class_variable_name$B_12, TMP_Opal_const_name$B_13, TMP_Opal_pristine_14;\n\n    \n    Opal.defs(self, '$bridge', TMP_Opal_bridge_1 = function $$bridge(klass, constructor) {\n      var self = this;\n\n      return Opal.bridge(klass, constructor);\n    }, TMP_Opal_bridge_1.$$arity = 2);\n    Opal.defs(self, '$type_error', TMP_Opal_type_error_2 = function $$type_error(object, type, method, coerced) {\n      var $a, self = this;\n\n      if (method == null) {\n        method = nil;\n      }\n      if (coerced == null) {\n        coerced = nil;\n      }\n      if ($truthy(($truthy($a = method) ? coerced : $a))) {\n        return $$($nesting, 'TypeError').$new(\"\" + \"can't convert \" + (object.$class()) + \" into \" + (type) + \" (\" + (object.$class()) + \"#\" + (method) + \" gives \" + (coerced.$class()) + \")\")\n      } else {\n        return $$($nesting, 'TypeError').$new(\"\" + \"no implicit conversion of \" + (object.$class()) + \" into \" + (type))\n      }\n    }, TMP_Opal_type_error_2.$$arity = -3);\n    Opal.defs(self, '$coerce_to', TMP_Opal_coerce_to_3 = function $$coerce_to(object, type, method) {\n      var self = this;\n\n      \n      if ($truthy(type['$==='](object))) {\n        return object};\n      if ($truthy(object['$respond_to?'](method))) {\n      } else {\n        self.$raise(self.$type_error(object, type))\n      };\n      return object.$__send__(method);\n    }, TMP_Opal_coerce_to_3.$$arity = 3);\n    Opal.defs(self, '$coerce_to!', TMP_Opal_coerce_to$B_4 = function(object, type, method) {\n      var self = this, coerced = nil;\n\n      \n      coerced = self.$coerce_to(object, type, method);\n      if ($truthy(type['$==='](coerced))) {\n      } else {\n        self.$raise(self.$type_error(object, type, method, coerced))\n      };\n      return coerced;\n    }, TMP_Opal_coerce_to$B_4.$$arity = 3);\n    Opal.defs(self, '$coerce_to?', TMP_Opal_coerce_to$q_5 = function(object, type, method) {\n      var self = this, coerced = nil;\n\n      \n      if ($truthy(object['$respond_to?'](method))) {\n      } else {\n        return nil\n      };\n      coerced = self.$coerce_to(object, type, method);\n      if ($truthy(coerced['$nil?']())) {\n        return nil};\n      if ($truthy(type['$==='](coerced))) {\n      } else {\n        self.$raise(self.$type_error(object, type, method, coerced))\n      };\n      return coerced;\n    }, TMP_Opal_coerce_to$q_5.$$arity = 3);\n    Opal.defs(self, '$try_convert', TMP_Opal_try_convert_6 = function $$try_convert(object, type, method) {\n      var self = this;\n\n      \n      if ($truthy(type['$==='](object))) {\n        return object};\n      if ($truthy(object['$respond_to?'](method))) {\n        return object.$__send__(method)\n      } else {\n        return nil\n      };\n    }, TMP_Opal_try_convert_6.$$arity = 3);\n    Opal.defs(self, '$compare', TMP_Opal_compare_7 = function $$compare(a, b) {\n      var self = this, compare = nil;\n\n      \n      compare = a['$<=>'](b);\n      if ($truthy(compare === nil)) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"comparison of \" + (a.$class()) + \" with \" + (b.$class()) + \" failed\")};\n      return compare;\n    }, TMP_Opal_compare_7.$$arity = 2);\n    Opal.defs(self, '$destructure', TMP_Opal_destructure_8 = function $$destructure(args) {\n      var self = this;\n\n      \n      if (args.length == 1) {\n        return args[0];\n      }\n      else if (args.$$is_array) {\n        return args;\n      }\n      else {\n        var args_ary = new Array(args.length);\n        for(var i = 0, l = args_ary.length; i < l; i++) { args_ary[i] = args[i]; }\n\n        return args_ary;\n      }\n    \n    }, TMP_Opal_destructure_8.$$arity = 1);\n    Opal.defs(self, '$respond_to?', TMP_Opal_respond_to$q_9 = function(obj, method, include_all) {\n      var self = this;\n\n      if (include_all == null) {\n        include_all = false;\n      }\n      \n      \n      if (obj == null || !obj.$$class) {\n        return false;\n      }\n    ;\n      return obj['$respond_to?'](method, include_all);\n    }, TMP_Opal_respond_to$q_9.$$arity = -3);\n    Opal.defs(self, '$inspect_obj', TMP_Opal_inspect_obj_10 = function $$inspect_obj(obj) {\n      var self = this;\n\n      return Opal.inspect(obj);\n    }, TMP_Opal_inspect_obj_10.$$arity = 1);\n    Opal.defs(self, '$instance_variable_name!', TMP_Opal_instance_variable_name$B_11 = function(name) {\n      var self = this;\n\n      \n      name = $$($nesting, 'Opal')['$coerce_to!'](name, $$($nesting, 'String'), \"to_str\");\n      if ($truthy(/^@[a-zA-Z_][a-zA-Z0-9_]*?$/.test(name))) {\n      } else {\n        self.$raise($$($nesting, 'NameError').$new(\"\" + \"'\" + (name) + \"' is not allowed as an instance variable name\", name))\n      };\n      return name;\n    }, TMP_Opal_instance_variable_name$B_11.$$arity = 1);\n    Opal.defs(self, '$class_variable_name!', TMP_Opal_class_variable_name$B_12 = function(name) {\n      var self = this;\n\n      \n      name = $$($nesting, 'Opal')['$coerce_to!'](name, $$($nesting, 'String'), \"to_str\");\n      if ($truthy(name.length < 3 || name.slice(0,2) !== '@@')) {\n        self.$raise($$($nesting, 'NameError').$new(\"\" + \"`\" + (name) + \"' is not allowed as a class variable name\", name))};\n      return name;\n    }, TMP_Opal_class_variable_name$B_12.$$arity = 1);\n    Opal.defs(self, '$const_name!', TMP_Opal_const_name$B_13 = function(const_name) {\n      var self = this;\n\n      \n      const_name = $$($nesting, 'Opal')['$coerce_to!'](const_name, $$($nesting, 'String'), \"to_str\");\n      if ($truthy(const_name['$[]'](0)['$!='](const_name['$[]'](0).$upcase()))) {\n        self.$raise($$($nesting, 'NameError'), \"\" + \"wrong constant name \" + (const_name))};\n      return const_name;\n    }, TMP_Opal_const_name$B_13.$$arity = 1);\n    Opal.defs(self, '$pristine', TMP_Opal_pristine_14 = function $$pristine(owner_class, $a_rest) {\n      var self = this, method_names;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 1;\n      if ($rest_len < 0) { $rest_len = 0; }\n      method_names = new Array($rest_len);\n      for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n        method_names[$arg_idx - 1] = arguments[$arg_idx];\n      }\n      \n      \n      var method_name, method;\n      for (var i = method_names.length - 1; i >= 0; i--) {\n        method_name = method_names[i];\n        method = owner_class.$$proto['$'+method_name];\n\n        if (method && !method.$$stub) {\n          method.$$pristine = true;\n        }\n      }\n    ;\n      return nil;\n    }, TMP_Opal_pristine_14.$$arity = -2);\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/module\"] = function(Opal) {\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy, $send = Opal.send, $lambda = Opal.lambda, $range = Opal.range, $hash2 = Opal.hash2;\n\n  Opal.add_stubs(['$===', '$raise', '$equal?', '$<', '$>', '$nil?', '$attr_reader', '$attr_writer', '$class_variable_name!', '$new', '$const_name!', '$=~', '$inject', '$split', '$const_get', '$==', '$!~', '$start_with?', '$to_proc', '$bind', '$call', '$class', '$append_features', '$included', '$name', '$cover?', '$size', '$merge', '$compile', '$proc', '$any?', '$to_s', '$__id__', '$constants', '$include?', '$copy_class_variables', '$copy_constants']);\n  return (function($base, $super, $parent_nesting) {\n    function $Module(){};\n    var self = $Module = $klass($base, $super, 'Module', $Module);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Module_allocate_1, TMP_Module_initialize_2, TMP_Module_$eq$eq$eq_3, TMP_Module_$lt_4, TMP_Module_$lt$eq_5, TMP_Module_$gt_6, TMP_Module_$gt$eq_7, TMP_Module_$lt$eq$gt_8, TMP_Module_alias_method_9, TMP_Module_alias_native_10, TMP_Module_ancestors_11, TMP_Module_append_features_12, TMP_Module_attr_accessor_13, TMP_Module_attr_reader_14, TMP_Module_attr_writer_15, TMP_Module_autoload_16, TMP_Module_class_variables_17, TMP_Module_class_variable_get_18, TMP_Module_class_variable_set_19, TMP_Module_class_variable_defined$q_20, TMP_Module_remove_class_variable_21, TMP_Module_constants_22, TMP_Module_constants_23, TMP_Module_nesting_24, TMP_Module_const_defined$q_25, TMP_Module_const_get_27, TMP_Module_const_missing_28, TMP_Module_const_set_29, TMP_Module_public_constant_30, TMP_Module_define_method_31, TMP_Module_remove_method_33, TMP_Module_singleton_class$q_34, TMP_Module_include_35, TMP_Module_included_modules_36, TMP_Module_include$q_37, TMP_Module_instance_method_38, TMP_Module_instance_methods_39, TMP_Module_included_40, TMP_Module_extended_41, TMP_Module_extend_object_42, TMP_Module_method_added_43, TMP_Module_method_removed_44, TMP_Module_method_undefined_45, TMP_Module_module_eval_46, TMP_Module_module_exec_48, TMP_Module_method_defined$q_49, TMP_Module_module_function_50, TMP_Module_name_51, TMP_Module_remove_const_52, TMP_Module_to_s_53, TMP_Module_undef_method_54, TMP_Module_instance_variables_55, TMP_Module_dup_56, TMP_Module_copy_class_variables_57, TMP_Module_copy_constants_58;\n\n    \n    Opal.defs(self, '$allocate', TMP_Module_allocate_1 = function $$allocate() {\n      var self = this;\n\n      \n      var module;\n\n      module = Opal.module_allocate(self);\n      return module;\n    \n    }, TMP_Module_allocate_1.$$arity = 0);\n    \n    Opal.def(self, '$initialize', TMP_Module_initialize_2 = function $$initialize() {\n      var self = this, $iter = TMP_Module_initialize_2.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Module_initialize_2.$$p = null;\n      return Opal.module_initialize(self, block);\n    }, TMP_Module_initialize_2.$$arity = 0);\n    \n    Opal.def(self, '$===', TMP_Module_$eq$eq$eq_3 = function(object) {\n      var self = this;\n\n      \n      if ($truthy(object == null)) {\n        return false};\n      return Opal.is_a(object, self);;\n    }, TMP_Module_$eq$eq$eq_3.$$arity = 1);\n    \n    Opal.def(self, '$<', TMP_Module_$lt_4 = function(other) {\n      var self = this;\n\n      \n      if ($truthy($$($nesting, 'Module')['$==='](other))) {\n      } else {\n        self.$raise($$($nesting, 'TypeError'), \"compared with non class/module\")\n      };\n      \n      var working = self,\n          ancestors,\n          i, length;\n\n      if (working === other) {\n        return false;\n      }\n\n      for (i = 0, ancestors = Opal.ancestors(self), length = ancestors.length; i < length; i++) {\n        if (ancestors[i] === other) {\n          return true;\n        }\n      }\n\n      for (i = 0, ancestors = Opal.ancestors(other), length = ancestors.length; i < length; i++) {\n        if (ancestors[i] === self) {\n          return false;\n        }\n      }\n\n      return nil;\n    ;\n    }, TMP_Module_$lt_4.$$arity = 1);\n    \n    Opal.def(self, '$<=', TMP_Module_$lt$eq_5 = function(other) {\n      var $a, self = this;\n\n      return ($truthy($a = self['$equal?'](other)) ? $a : $rb_lt(self, other))\n    }, TMP_Module_$lt$eq_5.$$arity = 1);\n    \n    Opal.def(self, '$>', TMP_Module_$gt_6 = function(other) {\n      var self = this;\n\n      \n      if ($truthy($$($nesting, 'Module')['$==='](other))) {\n      } else {\n        self.$raise($$($nesting, 'TypeError'), \"compared with non class/module\")\n      };\n      return $rb_lt(other, self);\n    }, TMP_Module_$gt_6.$$arity = 1);\n    \n    Opal.def(self, '$>=', TMP_Module_$gt$eq_7 = function(other) {\n      var $a, self = this;\n\n      return ($truthy($a = self['$equal?'](other)) ? $a : $rb_gt(self, other))\n    }, TMP_Module_$gt$eq_7.$$arity = 1);\n    \n    Opal.def(self, '$<=>', TMP_Module_$lt$eq$gt_8 = function(other) {\n      var self = this, lt = nil;\n\n      \n      \n      if (self === other) {\n        return 0;\n      }\n    ;\n      if ($truthy($$($nesting, 'Module')['$==='](other))) {\n      } else {\n        return nil\n      };\n      lt = $rb_lt(self, other);\n      if ($truthy(lt['$nil?']())) {\n        return nil};\n      if ($truthy(lt)) {\n        return -1\n      } else {\n        return 1\n      };\n    }, TMP_Module_$lt$eq$gt_8.$$arity = 1);\n    \n    Opal.def(self, '$alias_method', TMP_Module_alias_method_9 = function $$alias_method(newname, oldname) {\n      var self = this;\n\n      \n      Opal.alias(self, newname, oldname);\n      return self;\n    }, TMP_Module_alias_method_9.$$arity = 2);\n    \n    Opal.def(self, '$alias_native', TMP_Module_alias_native_10 = function $$alias_native(mid, jsid) {\n      var self = this;\n\n      if (jsid == null) {\n        jsid = mid;\n      }\n      \n      Opal.alias_native(self, mid, jsid);\n      return self;\n    }, TMP_Module_alias_native_10.$$arity = -2);\n    \n    Opal.def(self, '$ancestors', TMP_Module_ancestors_11 = function $$ancestors() {\n      var self = this;\n\n      return Opal.ancestors(self);\n    }, TMP_Module_ancestors_11.$$arity = 0);\n    \n    Opal.def(self, '$append_features', TMP_Module_append_features_12 = function $$append_features(includer) {\n      var self = this;\n\n      \n      Opal.append_features(self, includer);\n      return self;\n    }, TMP_Module_append_features_12.$$arity = 1);\n    \n    Opal.def(self, '$attr_accessor', TMP_Module_attr_accessor_13 = function $$attr_accessor($a_rest) {\n      var self = this, names;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      names = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        names[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      $send(self, 'attr_reader', Opal.to_a(names));\n      return $send(self, 'attr_writer', Opal.to_a(names));\n    }, TMP_Module_attr_accessor_13.$$arity = -1);\n    Opal.alias(self, \"attr\", \"attr_accessor\");\n    \n    Opal.def(self, '$attr_reader', TMP_Module_attr_reader_14 = function $$attr_reader($a_rest) {\n      var self = this, names;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      names = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        names[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      \n      var proto = self.$$proto;\n\n      for (var i = names.length - 1; i >= 0; i--) {\n        var name = names[i],\n            id   = '$' + name,\n            ivar = Opal.ivar(name);\n\n        // the closure here is needed because name will change at the next\n        // cycle, I wish we could use let.\n        var body = (function(ivar) {\n          return function() {\n            if (this[ivar] == null) {\n              return nil;\n            }\n            else {\n              return this[ivar];\n            }\n          };\n        })(ivar);\n\n        // initialize the instance variable as nil\n        proto[ivar] = nil;\n\n        body.$$parameters = [];\n        body.$$arity = 0;\n\n        if (self.$$is_singleton) {\n          proto.constructor.prototype[id] = body;\n        }\n        else {\n          Opal.defn(self, id, body);\n        }\n      }\n    ;\n      return nil;\n    }, TMP_Module_attr_reader_14.$$arity = -1);\n    \n    Opal.def(self, '$attr_writer', TMP_Module_attr_writer_15 = function $$attr_writer($a_rest) {\n      var self = this, names;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      names = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        names[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      \n      var proto = self.$$proto;\n\n      for (var i = names.length - 1; i >= 0; i--) {\n        var name = names[i],\n            id   = '$' + name + '=',\n            ivar = Opal.ivar(name);\n\n        // the closure here is needed because name will change at the next\n        // cycle, I wish we could use let.\n        var body = (function(ivar){\n          return function(value) {\n            return this[ivar] = value;\n          }\n        })(ivar);\n\n        body.$$parameters = [['req']];\n        body.$$arity = 1;\n\n        // initialize the instance variable as nil\n        proto[ivar] = nil;\n\n        if (self.$$is_singleton) {\n          proto.constructor.prototype[id] = body;\n        }\n        else {\n          Opal.defn(self, id, body);\n        }\n      }\n    ;\n      return nil;\n    }, TMP_Module_attr_writer_15.$$arity = -1);\n    \n    Opal.def(self, '$autoload', TMP_Module_autoload_16 = function $$autoload(const$, path) {\n      var self = this;\n\n      \n      if (self.$$autoload == null) self.$$autoload = {};\n      Opal.const_cache_version++;\n      self.$$autoload[const$] = path;\n      return nil;\n    \n    }, TMP_Module_autoload_16.$$arity = 2);\n    \n    Opal.def(self, '$class_variables', TMP_Module_class_variables_17 = function $$class_variables() {\n      var self = this;\n\n      return Object.keys(Opal.class_variables(self));\n    }, TMP_Module_class_variables_17.$$arity = 0);\n    \n    Opal.def(self, '$class_variable_get', TMP_Module_class_variable_get_18 = function $$class_variable_get(name) {\n      var self = this;\n\n      \n      name = $$($nesting, 'Opal')['$class_variable_name!'](name);\n      \n      var value = Opal.class_variables(self)[name];\n      if (value == null) {\n        self.$raise($$($nesting, 'NameError').$new(\"\" + \"uninitialized class variable \" + (name) + \" in \" + (self), name))\n      }\n      return value;\n    ;\n    }, TMP_Module_class_variable_get_18.$$arity = 1);\n    \n    Opal.def(self, '$class_variable_set', TMP_Module_class_variable_set_19 = function $$class_variable_set(name, value) {\n      var self = this;\n\n      \n      name = $$($nesting, 'Opal')['$class_variable_name!'](name);\n      return Opal.class_variable_set(self, name, value);;\n    }, TMP_Module_class_variable_set_19.$$arity = 2);\n    \n    Opal.def(self, '$class_variable_defined?', TMP_Module_class_variable_defined$q_20 = function(name) {\n      var self = this;\n\n      \n      name = $$($nesting, 'Opal')['$class_variable_name!'](name);\n      return Opal.class_variables(self).hasOwnProperty(name);;\n    }, TMP_Module_class_variable_defined$q_20.$$arity = 1);\n    \n    Opal.def(self, '$remove_class_variable', TMP_Module_remove_class_variable_21 = function $$remove_class_variable(name) {\n      var self = this;\n\n      \n      name = $$($nesting, 'Opal')['$class_variable_name!'](name);\n      \n      if (Opal.hasOwnProperty.call(self.$$cvars, name)) {\n        var value = self.$$cvars[name];\n        delete self.$$cvars[name];\n        return value;\n      } else {\n        self.$raise($$($nesting, 'NameError'), \"\" + \"cannot remove \" + (name) + \" for \" + (self))\n      }\n    ;\n    }, TMP_Module_remove_class_variable_21.$$arity = 1);\n    \n    Opal.def(self, '$constants', TMP_Module_constants_22 = function $$constants(inherit) {\n      var self = this;\n\n      if (inherit == null) {\n        inherit = true;\n      }\n      return Opal.constants(self, inherit);\n    }, TMP_Module_constants_22.$$arity = -1);\n    Opal.defs(self, '$constants', TMP_Module_constants_23 = function $$constants(inherit) {\n      var self = this;\n\n      \n      if (inherit == null) {\n        var nesting = (self.$$nesting || []).concat(Opal.Object),\n            constant, constants = {},\n            i, ii;\n\n        for(i = 0, ii = nesting.length; i < ii; i++) {\n          for (constant in nesting[i].$$const) {\n            constants[constant] = true;\n          }\n        }\n        return Object.keys(constants);\n      } else {\n        return Opal.constants(self, inherit)\n      }\n    \n    }, TMP_Module_constants_23.$$arity = -1);\n    Opal.defs(self, '$nesting', TMP_Module_nesting_24 = function $$nesting() {\n      var self = this;\n\n      return self.$$nesting || [];\n    }, TMP_Module_nesting_24.$$arity = 0);\n    \n    Opal.def(self, '$const_defined?', TMP_Module_const_defined$q_25 = function(name, inherit) {\n      var self = this;\n\n      if (inherit == null) {\n        inherit = true;\n      }\n      \n      name = $$($nesting, 'Opal')['$const_name!'](name);\n      if ($truthy(name['$=~']($$$($$($nesting, 'Opal'), 'CONST_NAME_REGEXP')))) {\n      } else {\n        self.$raise($$($nesting, 'NameError').$new(\"\" + \"wrong constant name \" + (name), name))\n      };\n      \n      var module, modules = [self], module_constants, i, ii;\n\n      // Add up ancestors if inherit is true\n      if (inherit) {\n        modules = modules.concat(Opal.ancestors(self));\n\n        // Add Object's ancestors if it's a module – modules have no ancestors otherwise\n        if (self.$$is_module) {\n          modules = modules.concat([Opal.Object]).concat(Opal.ancestors(Opal.Object));\n        }\n      }\n\n      for (i = 0, ii = modules.length; i < ii; i++) {\n        module = modules[i];\n        if (module.$$const[name] != null) {\n          return true;\n        }\n      }\n\n      return false;\n    ;\n    }, TMP_Module_const_defined$q_25.$$arity = -2);\n    \n    Opal.def(self, '$const_get', TMP_Module_const_get_27 = function $$const_get(name, inherit) {\n      var TMP_26, self = this;\n\n      if (inherit == null) {\n        inherit = true;\n      }\n      \n      name = $$($nesting, 'Opal')['$const_name!'](name);\n      \n      if (name.indexOf('::') === 0 && name !== '::'){\n        name = name.slice(2);\n      }\n    ;\n      if ($truthy(name.indexOf('::') != -1 && name != '::')) {\n        return $send(name.$split(\"::\"), 'inject', [self], (TMP_26 = function(o, c){var self = TMP_26.$$s || this;\nif (o == null) o = nil;if (c == null) c = nil;\n        return o.$const_get(c)}, TMP_26.$$s = self, TMP_26.$$arity = 2, TMP_26))};\n      if ($truthy(name['$=~']($$$($$($nesting, 'Opal'), 'CONST_NAME_REGEXP')))) {\n      } else {\n        self.$raise($$($nesting, 'NameError').$new(\"\" + \"wrong constant name \" + (name), name))\n      };\n      \n      if (inherit) {\n        return $$([self], name);\n      } else {\n        return Opal.const_get_local(self, name);\n      }\n    ;\n    }, TMP_Module_const_get_27.$$arity = -2);\n    \n    Opal.def(self, '$const_missing', TMP_Module_const_missing_28 = function $$const_missing(name) {\n      var self = this, full_const_name = nil;\n\n      \n      \n      if (self.$$autoload) {\n        var file = self.$$autoload[name];\n\n        if (file) {\n          self.$require(file);\n\n          return self.$const_get(name);\n        }\n      }\n    ;\n      full_const_name = (function() {if (self['$==']($$($nesting, 'Object'))) {\n        return name\n      } else {\n        return \"\" + (self) + \"::\" + (name)\n      }; return nil; })();\n      return self.$raise($$($nesting, 'NameError').$new(\"\" + \"uninitialized constant \" + (full_const_name), name));\n    }, TMP_Module_const_missing_28.$$arity = 1);\n    \n    Opal.def(self, '$const_set', TMP_Module_const_set_29 = function $$const_set(name, value) {\n      var $a, self = this;\n\n      \n      name = $$($nesting, 'Opal')['$const_name!'](name);\n      if ($truthy(($truthy($a = name['$!~']($$$($$($nesting, 'Opal'), 'CONST_NAME_REGEXP'))) ? $a : name['$start_with?'](\"::\")))) {\n        self.$raise($$($nesting, 'NameError').$new(\"\" + \"wrong constant name \" + (name), name))};\n      Opal.const_set(self, name, value);\n      return value;\n    }, TMP_Module_const_set_29.$$arity = 2);\n    \n    Opal.def(self, '$public_constant', TMP_Module_public_constant_30 = function $$public_constant(const_name) {\n      var self = this;\n\n      return nil\n    }, TMP_Module_public_constant_30.$$arity = 1);\n    \n    Opal.def(self, '$define_method', TMP_Module_define_method_31 = function $$define_method(name, method) {\n      var $a, TMP_32, self = this, $iter = TMP_Module_define_method_31.$$p, block = $iter || nil, $case = nil;\n\n      if ($iter) TMP_Module_define_method_31.$$p = null;\n      \n      if ($truthy(method === undefined && block === nil)) {\n        self.$raise($$($nesting, 'ArgumentError'), \"tried to create a Proc object without a block\")};\n      block = ($truthy($a = block) ? $a : (function() {$case = method;\n      if ($$($nesting, 'Proc')['$===']($case)) {return method}\n      else if ($$($nesting, 'Method')['$===']($case)) {return method.$to_proc().$$unbound}\n      else if ($$($nesting, 'UnboundMethod')['$===']($case)) {return $lambda((TMP_32 = function($b_rest){var self = TMP_32.$$s || this, args, bound = nil;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        args = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          args[$arg_idx - 0] = arguments[$arg_idx];\n        }\n      \n        bound = method.$bind(self);\n        return $send(bound, 'call', Opal.to_a(args));}, TMP_32.$$s = self, TMP_32.$$arity = -1, TMP_32))}\n      else {return self.$raise($$($nesting, 'TypeError'), \"\" + \"wrong argument type \" + (block.$class()) + \" (expected Proc/Method)\")}})());\n      \n      var id = '$' + name;\n\n      block.$$jsid        = name;\n      block.$$s           = null;\n      block.$$def         = block;\n      block.$$define_meth = true;\n\n      Opal.defn(self, id, block);\n\n      return name;\n    ;\n    }, TMP_Module_define_method_31.$$arity = -2);\n    \n    Opal.def(self, '$remove_method', TMP_Module_remove_method_33 = function $$remove_method($a_rest) {\n      var self = this, names;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      names = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        names[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      \n      for (var i = 0, length = names.length; i < length; i++) {\n        Opal.rdef(self, \"$\" + names[i]);\n      }\n    ;\n      return self;\n    }, TMP_Module_remove_method_33.$$arity = -1);\n    \n    Opal.def(self, '$singleton_class?', TMP_Module_singleton_class$q_34 = function() {\n      var self = this;\n\n      return !!self.$$is_singleton;\n    }, TMP_Module_singleton_class$q_34.$$arity = 0);\n    \n    Opal.def(self, '$include', TMP_Module_include_35 = function $$include($a_rest) {\n      var self = this, mods;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      mods = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        mods[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      \n      for (var i = mods.length - 1; i >= 0; i--) {\n        var mod = mods[i];\n\n        if (!mod.$$is_module) {\n          self.$raise($$($nesting, 'TypeError'), \"\" + \"wrong argument type \" + ((mod).$class()) + \" (expected Module)\");\n        }\n\n        (mod).$append_features(self);\n        (mod).$included(self);\n      }\n    ;\n      return self;\n    }, TMP_Module_include_35.$$arity = -1);\n    \n    Opal.def(self, '$included_modules', TMP_Module_included_modules_36 = function $$included_modules() {\n      var self = this;\n\n      \n      var results;\n\n      var module_chain = function(klass) {\n        var included = [];\n\n        for (var i = 0, ii = klass.$$inc.length; i < ii; i++) {\n          var mod_or_class = klass.$$inc[i];\n          included.push(mod_or_class);\n          included = included.concat(module_chain(mod_or_class));\n        }\n\n        return included;\n      };\n\n      results = module_chain(self);\n\n      // need superclass's modules\n      if (self.$$is_class) {\n        for (var cls = self; cls; cls = cls.$$super) {\n          results = results.concat(module_chain(cls));\n        }\n      }\n\n      return results;\n    \n    }, TMP_Module_included_modules_36.$$arity = 0);\n    \n    Opal.def(self, '$include?', TMP_Module_include$q_37 = function(mod) {\n      var self = this;\n\n      \n      if (!mod.$$is_module) {\n        self.$raise($$($nesting, 'TypeError'), \"\" + \"wrong argument type \" + ((mod).$class()) + \" (expected Module)\");\n      }\n\n      var i, ii, mod2, ancestors = Opal.ancestors(self);\n\n      for (i = 0, ii = ancestors.length; i < ii; i++) {\n        mod2 = ancestors[i];\n        if (mod2 === mod && mod2 !== self) {\n          return true;\n        }\n      }\n\n      return false;\n    \n    }, TMP_Module_include$q_37.$$arity = 1);\n    \n    Opal.def(self, '$instance_method', TMP_Module_instance_method_38 = function $$instance_method(name) {\n      var self = this;\n\n      \n      var meth = self.$$proto['$' + name];\n\n      if (!meth || meth.$$stub) {\n        self.$raise($$($nesting, 'NameError').$new(\"\" + \"undefined method `\" + (name) + \"' for class `\" + (self.$name()) + \"'\", name));\n      }\n\n      return $$($nesting, 'UnboundMethod').$new(self, meth.$$owner || self, meth, name);\n    \n    }, TMP_Module_instance_method_38.$$arity = 1);\n    \n    Opal.def(self, '$instance_methods', TMP_Module_instance_methods_39 = function $$instance_methods(include_super) {\n      var self = this;\n\n      if (include_super == null) {\n        include_super = true;\n      }\n      \n      var value,\n          methods = [],\n          proto   = self.$$proto;\n\n      for (var prop in proto) {\n        if (prop.charAt(0) !== '$' || prop.charAt(1) === '$') {\n          continue;\n        }\n\n        value = proto[prop];\n\n        if (typeof(value) !== \"function\") {\n          continue;\n        }\n\n        if (value.$$stub) {\n          continue;\n        }\n\n        if (!self.$$is_module) {\n          if (self !== Opal.BasicObject && value === Opal.BasicObject.$$proto[prop]) {\n            continue;\n          }\n\n          if (!include_super && !proto.hasOwnProperty(prop)) {\n            continue;\n          }\n\n          if (!include_super && value.$$donated) {\n            continue;\n          }\n        }\n\n        methods.push(prop.substr(1));\n      }\n\n      return methods;\n    \n    }, TMP_Module_instance_methods_39.$$arity = -1);\n    \n    Opal.def(self, '$included', TMP_Module_included_40 = function $$included(mod) {\n      var self = this;\n\n      return nil\n    }, TMP_Module_included_40.$$arity = 1);\n    \n    Opal.def(self, '$extended', TMP_Module_extended_41 = function $$extended(mod) {\n      var self = this;\n\n      return nil\n    }, TMP_Module_extended_41.$$arity = 1);\n    \n    Opal.def(self, '$extend_object', TMP_Module_extend_object_42 = function $$extend_object(object) {\n      var self = this;\n\n      return nil\n    }, TMP_Module_extend_object_42.$$arity = 1);\n    \n    Opal.def(self, '$method_added', TMP_Module_method_added_43 = function $$method_added($a_rest) {\n      var self = this;\n\n      return nil\n    }, TMP_Module_method_added_43.$$arity = -1);\n    \n    Opal.def(self, '$method_removed', TMP_Module_method_removed_44 = function $$method_removed($a_rest) {\n      var self = this;\n\n      return nil\n    }, TMP_Module_method_removed_44.$$arity = -1);\n    \n    Opal.def(self, '$method_undefined', TMP_Module_method_undefined_45 = function $$method_undefined($a_rest) {\n      var self = this;\n\n      return nil\n    }, TMP_Module_method_undefined_45.$$arity = -1);\n    \n    Opal.def(self, '$module_eval', TMP_Module_module_eval_46 = function $$module_eval($a_rest) {\n      var $b, TMP_47, self = this, args, $iter = TMP_Module_module_eval_46.$$p, block = $iter || nil, string = nil, file = nil, _lineno = nil, default_eval_options = nil, compiling_options = nil, compiled = nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Module_module_eval_46.$$p = null;\n      \n      if ($truthy(($truthy($b = block['$nil?']()) ? !!Opal.compile : $b))) {\n        \n        if ($truthy($range(1, 3, false)['$cover?'](args.$size()))) {\n        } else {\n          $$($nesting, 'Kernel').$raise($$($nesting, 'ArgumentError'), \"wrong number of arguments (0 for 1..3)\")\n        };\n        $b = [].concat(Opal.to_a(args)), (string = ($b[0] == null ? nil : $b[0])), (file = ($b[1] == null ? nil : $b[1])), (_lineno = ($b[2] == null ? nil : $b[2])), $b;\n        default_eval_options = $hash2([\"file\", \"eval\"], {\"file\": ($truthy($b = file) ? $b : \"(eval)\"), \"eval\": true});\n        compiling_options = Opal.hash({ arity_check: false }).$merge(default_eval_options);\n        compiled = $$($nesting, 'Opal').$compile(string, compiling_options);\n        block = $send($$($nesting, 'Kernel'), 'proc', [], (TMP_47 = function(){var self = TMP_47.$$s || this;\n\n        \n          return (function(self) {\n            return eval(compiled);\n          })(self)\n        }, TMP_47.$$s = self, TMP_47.$$arity = 0, TMP_47));\n      } else if ($truthy(args['$any?']())) {\n        $$($nesting, 'Kernel').$raise($$($nesting, 'ArgumentError'), \"\" + (\"\" + \"wrong number of arguments (\" + (args.$size()) + \" for 0)\") + \"\\n\\n  NOTE:If you want to enable passing a String argument please add \\\"require 'opal-parser'\\\" to your script\\n\")};\n      \n      var old = block.$$s,\n          result;\n\n      block.$$s = null;\n      result = block.apply(self, [self]);\n      block.$$s = old;\n\n      return result;\n    ;\n    }, TMP_Module_module_eval_46.$$arity = -1);\n    Opal.alias(self, \"class_eval\", \"module_eval\");\n    \n    Opal.def(self, '$module_exec', TMP_Module_module_exec_48 = function $$module_exec($a_rest) {\n      var self = this, args, $iter = TMP_Module_module_exec_48.$$p, block = $iter || nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Module_module_exec_48.$$p = null;\n      \n      if (block === nil) {\n        self.$raise($$($nesting, 'LocalJumpError'), \"no block given\")\n      }\n\n      var block_self = block.$$s, result;\n\n      block.$$s = null;\n      result = block.apply(self, args);\n      block.$$s = block_self;\n\n      return result;\n    \n    }, TMP_Module_module_exec_48.$$arity = -1);\n    Opal.alias(self, \"class_exec\", \"module_exec\");\n    \n    Opal.def(self, '$method_defined?', TMP_Module_method_defined$q_49 = function(method) {\n      var self = this;\n\n      \n      var body = self.$$proto['$' + method];\n      return (!!body) && !body.$$stub;\n    \n    }, TMP_Module_method_defined$q_49.$$arity = 1);\n    \n    Opal.def(self, '$module_function', TMP_Module_module_function_50 = function $$module_function($a_rest) {\n      var self = this, methods;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      methods = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        methods[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      if (methods.length === 0) {\n        self.$$module_function = true;\n      }\n      else {\n        for (var i = 0, length = methods.length; i < length; i++) {\n          var meth = methods[i],\n              id   = '$' + meth,\n              func = self.$$proto[id];\n\n          Opal.defs(self, id, func);\n        }\n      }\n\n      return self;\n    \n    }, TMP_Module_module_function_50.$$arity = -1);\n    \n    Opal.def(self, '$name', TMP_Module_name_51 = function $$name() {\n      var self = this;\n\n      \n      if (self.$$full_name) {\n        return self.$$full_name;\n      }\n\n      var result = [], base = self;\n\n      while (base) {\n        // Give up if any of the ancestors is unnamed\n        if (base.$$name === nil || base.$$name == null) return nil;\n\n        result.unshift(base.$$name);\n\n        base = base.$$base_module;\n\n        if (base === Opal.Object) {\n          break;\n        }\n      }\n\n      if (result.length === 0) {\n        return nil;\n      }\n\n      return self.$$full_name = result.join('::');\n    \n    }, TMP_Module_name_51.$$arity = 0);\n    \n    Opal.def(self, '$remove_const', TMP_Module_remove_const_52 = function $$remove_const(name) {\n      var self = this;\n\n      return Opal.const_remove(self, name);\n    }, TMP_Module_remove_const_52.$$arity = 1);\n    \n    Opal.def(self, '$to_s', TMP_Module_to_s_53 = function $$to_s() {\n      var $a, self = this;\n\n      return ($truthy($a = Opal.Module.$name.call(self)) ? $a : \"\" + \"#<\" + (self.$$is_module ? 'Module' : 'Class') + \":0x\" + (self.$__id__().$to_s(16)) + \">\")\n    }, TMP_Module_to_s_53.$$arity = 0);\n    \n    Opal.def(self, '$undef_method', TMP_Module_undef_method_54 = function $$undef_method($a_rest) {\n      var self = this, names;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      names = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        names[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      \n      for (var i = 0, length = names.length; i < length; i++) {\n        Opal.udef(self, \"$\" + names[i]);\n      }\n    ;\n      return self;\n    }, TMP_Module_undef_method_54.$$arity = -1);\n    \n    Opal.def(self, '$instance_variables', TMP_Module_instance_variables_55 = function $$instance_variables() {\n      var self = this, consts = nil;\n\n      \n      consts = (Opal.Module.$$nesting = $nesting, self.$constants());\n      \n      var result = [];\n\n      for (var name in self) {\n        if (self.hasOwnProperty(name) && name.charAt(0) !== '$' && name !== 'constructor' && !consts['$include?'](name)) {\n          result.push('@' + name);\n        }\n      }\n\n      return result;\n    ;\n    }, TMP_Module_instance_variables_55.$$arity = 0);\n    \n    Opal.def(self, '$dup', TMP_Module_dup_56 = function $$dup() {\n      var self = this, $iter = TMP_Module_dup_56.$$p, $yield = $iter || nil, copy = nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n      if ($iter) TMP_Module_dup_56.$$p = null;\n      // Prepare super implicit arguments\n      for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n        $zuper[$zuper_i] = arguments[$zuper_i];\n      }\n      \n      copy = $send(self, Opal.find_super_dispatcher(self, 'dup', TMP_Module_dup_56, false), $zuper, $iter);\n      copy.$copy_class_variables(self);\n      copy.$copy_constants(self);\n      return copy;\n    }, TMP_Module_dup_56.$$arity = 0);\n    \n    Opal.def(self, '$copy_class_variables', TMP_Module_copy_class_variables_57 = function $$copy_class_variables(other) {\n      var self = this;\n\n      \n      for (var name in other.$$cvars) {\n        self.$$cvars[name] = other.$$cvars[name];\n      }\n    \n    }, TMP_Module_copy_class_variables_57.$$arity = 1);\n    return (Opal.def(self, '$copy_constants', TMP_Module_copy_constants_58 = function $$copy_constants(other) {\n      var self = this;\n\n      \n      var name, other_constants = other.$$const;\n\n      for (name in other_constants) {\n        Opal.const_set(self, name, other_constants[name]);\n      }\n    \n    }, TMP_Module_copy_constants_58.$$arity = 1), nil) && 'copy_constants';\n  })($nesting[0], null, $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/class\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $send = Opal.send;\n\n  Opal.add_stubs(['$require', '$initialize_copy', '$allocate', '$name', '$to_s']);\n  \n  self.$require(\"corelib/module\");\n  return (function($base, $super, $parent_nesting) {\n    function $Class(){};\n    var self = $Class = $klass($base, $super, 'Class', $Class);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Class_new_1, TMP_Class_allocate_2, TMP_Class_inherited_3, TMP_Class_initialize_dup_4, TMP_Class_new_5, TMP_Class_superclass_6, TMP_Class_to_s_7;\n\n    \n    Opal.defs(self, '$new', TMP_Class_new_1 = function(superclass) {\n      var self = this, $iter = TMP_Class_new_1.$$p, block = $iter || nil;\n\n      if (superclass == null) {\n        superclass = $$($nesting, 'Object');\n      }\n      if ($iter) TMP_Class_new_1.$$p = null;\n      \n      if (!superclass.$$is_class) {\n        throw Opal.TypeError.$new(\"superclass must be a Class\");\n      }\n\n      var alloc = Opal.boot_class_alloc(null, function(){}, superclass);\n      var klass = Opal.setup_class_object(null, alloc, superclass.$$name, superclass.constructor);\n\n      klass.$$super  = superclass;\n      klass.$$parent = superclass;\n\n      superclass.$inherited(klass);\n      Opal.module_initialize(klass, block);\n\n      return klass;\n    \n    }, TMP_Class_new_1.$$arity = -1);\n    \n    Opal.def(self, '$allocate', TMP_Class_allocate_2 = function $$allocate() {\n      var self = this;\n\n      \n      var obj = new self.$$alloc();\n      obj.$$id = Opal.uid();\n      return obj;\n    \n    }, TMP_Class_allocate_2.$$arity = 0);\n    \n    Opal.def(self, '$inherited', TMP_Class_inherited_3 = function $$inherited(cls) {\n      var self = this;\n\n      return nil\n    }, TMP_Class_inherited_3.$$arity = 1);\n    \n    Opal.def(self, '$initialize_dup', TMP_Class_initialize_dup_4 = function $$initialize_dup(original) {\n      var self = this;\n\n      \n      self.$initialize_copy(original);\n      \n      self.$$name = null;\n      self.$$full_name = null;\n    ;\n    }, TMP_Class_initialize_dup_4.$$arity = 1);\n    \n    Opal.def(self, '$new', TMP_Class_new_5 = function($a_rest) {\n      var self = this, args, $iter = TMP_Class_new_5.$$p, block = $iter || nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Class_new_5.$$p = null;\n      \n      var object = self.$allocate();\n      Opal.send(object, object.$initialize, args, block);\n      return object;\n    \n    }, TMP_Class_new_5.$$arity = -1);\n    \n    Opal.def(self, '$superclass', TMP_Class_superclass_6 = function $$superclass() {\n      var self = this;\n\n      return self.$$super || nil;\n    }, TMP_Class_superclass_6.$$arity = 0);\n    return (Opal.def(self, '$to_s', TMP_Class_to_s_7 = function $$to_s() {\n      var self = this, $iter = TMP_Class_to_s_7.$$p, $yield = $iter || nil;\n\n      if ($iter) TMP_Class_to_s_7.$$p = null;\n      \n      var singleton_of = self.$$singleton_of;\n\n      if (singleton_of && (singleton_of.$$is_class || singleton_of.$$is_module)) {\n        return \"\" + \"#<Class:\" + ((singleton_of).$name()) + \">\";\n      }\n      else if (singleton_of) {\n        // a singleton class created from an object\n        return \"\" + \"#<Class:#<\" + ((singleton_of.$$class).$name()) + \":0x\" + ((Opal.id(singleton_of)).$to_s(16)) + \">>\";\n      }\n      return $send(self, Opal.find_super_dispatcher(self, 'to_s', TMP_Class_to_s_7, false), [], null);\n    \n    }, TMP_Class_to_s_7.$$arity = 0), nil) && 'to_s';\n  })($nesting[0], null, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/basic_object\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy, $range = Opal.range, $hash2 = Opal.hash2, $send = Opal.send;\n\n  Opal.add_stubs(['$==', '$!', '$nil?', '$cover?', '$size', '$raise', '$merge', '$compile', '$proc', '$any?', '$inspect', '$new']);\n  return (function($base, $super, $parent_nesting) {\n    function $BasicObject(){};\n    var self = $BasicObject = $klass($base, $super, 'BasicObject', $BasicObject);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_BasicObject_initialize_1, TMP_BasicObject_$eq$eq_2, TMP_BasicObject_eql$q_3, TMP_BasicObject___id___4, TMP_BasicObject___send___5, TMP_BasicObject_$B_6, TMP_BasicObject_$B$eq_7, TMP_BasicObject_instance_eval_8, TMP_BasicObject_instance_exec_10, TMP_BasicObject_singleton_method_added_11, TMP_BasicObject_singleton_method_removed_12, TMP_BasicObject_singleton_method_undefined_13, TMP_BasicObject_method_missing_14;\n\n    \n    \n    Opal.def(self, '$initialize', TMP_BasicObject_initialize_1 = function $$initialize($a_rest) {\n      var self = this;\n\n      return nil\n    }, TMP_BasicObject_initialize_1.$$arity = -1);\n    \n    Opal.def(self, '$==', TMP_BasicObject_$eq$eq_2 = function(other) {\n      var self = this;\n\n      return self === other;\n    }, TMP_BasicObject_$eq$eq_2.$$arity = 1);\n    \n    Opal.def(self, '$eql?', TMP_BasicObject_eql$q_3 = function(other) {\n      var self = this;\n\n      return self['$=='](other)\n    }, TMP_BasicObject_eql$q_3.$$arity = 1);\n    Opal.alias(self, \"equal?\", \"==\");\n    \n    Opal.def(self, '$__id__', TMP_BasicObject___id___4 = function $$__id__() {\n      var self = this;\n\n      return self.$$id || (self.$$id = Opal.uid());\n    }, TMP_BasicObject___id___4.$$arity = 0);\n    \n    Opal.def(self, '$__send__', TMP_BasicObject___send___5 = function $$__send__(symbol, $a_rest) {\n      var self = this, args, $iter = TMP_BasicObject___send___5.$$p, block = $iter || nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 1;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 1] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_BasicObject___send___5.$$p = null;\n      \n      var func = self['$' + symbol]\n\n      if (func) {\n        if (block !== nil) {\n          func.$$p = block;\n        }\n\n        return func.apply(self, args);\n      }\n\n      if (block !== nil) {\n        self.$method_missing.$$p = block;\n      }\n\n      return self.$method_missing.apply(self, [symbol].concat(args));\n    \n    }, TMP_BasicObject___send___5.$$arity = -2);\n    \n    Opal.def(self, '$!', TMP_BasicObject_$B_6 = function() {\n      var self = this;\n\n      return false\n    }, TMP_BasicObject_$B_6.$$arity = 0);\n    \n    Opal.def(self, '$!=', TMP_BasicObject_$B$eq_7 = function(other) {\n      var self = this;\n\n      return self['$=='](other)['$!']()\n    }, TMP_BasicObject_$B$eq_7.$$arity = 1);\n    \n    Opal.def(self, '$instance_eval', TMP_BasicObject_instance_eval_8 = function $$instance_eval($a_rest) {\n      var $b, TMP_9, self = this, args, $iter = TMP_BasicObject_instance_eval_8.$$p, block = $iter || nil, string = nil, file = nil, _lineno = nil, default_eval_options = nil, compiling_options = nil, compiled = nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_BasicObject_instance_eval_8.$$p = null;\n      \n      if ($truthy(($truthy($b = block['$nil?']()) ? !!Opal.compile : $b))) {\n        \n        if ($truthy($range(1, 3, false)['$cover?'](args.$size()))) {\n        } else {\n          $$$('::', 'Kernel').$raise($$$('::', 'ArgumentError'), \"wrong number of arguments (0 for 1..3)\")\n        };\n        $b = [].concat(Opal.to_a(args)), (string = ($b[0] == null ? nil : $b[0])), (file = ($b[1] == null ? nil : $b[1])), (_lineno = ($b[2] == null ? nil : $b[2])), $b;\n        default_eval_options = $hash2([\"file\", \"eval\"], {\"file\": ($truthy($b = file) ? $b : \"(eval)\"), \"eval\": true});\n        compiling_options = Opal.hash({ arity_check: false }).$merge(default_eval_options);\n        compiled = $$$('::', 'Opal').$compile(string, compiling_options);\n        block = $send($$$('::', 'Kernel'), 'proc', [], (TMP_9 = function(){var self = TMP_9.$$s || this;\n\n        \n          return (function(self) {\n            return eval(compiled);\n          })(self)\n        }, TMP_9.$$s = self, TMP_9.$$arity = 0, TMP_9));\n      } else if ($truthy(args['$any?']())) {\n        $$$('::', 'Kernel').$raise($$$('::', 'ArgumentError'), \"\" + \"wrong number of arguments (\" + (args.$size()) + \" for 0)\")};\n      \n      var old = block.$$s,\n          result;\n\n      block.$$s = null;\n\n      // Need to pass $$eval so that method definitions know if this is\n      // being done on a class/module. Cannot be compiler driven since\n      // send(:instance_eval) needs to work.\n      if (self.$$is_class || self.$$is_module) {\n        self.$$eval = true;\n        try {\n          result = block.call(self, self);\n        }\n        finally {\n          self.$$eval = false;\n        }\n      }\n      else {\n        result = block.call(self, self);\n      }\n\n      block.$$s = old;\n\n      return result;\n    ;\n    }, TMP_BasicObject_instance_eval_8.$$arity = -1);\n    \n    Opal.def(self, '$instance_exec', TMP_BasicObject_instance_exec_10 = function $$instance_exec($a_rest) {\n      var self = this, args, $iter = TMP_BasicObject_instance_exec_10.$$p, block = $iter || nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_BasicObject_instance_exec_10.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        $$$('::', 'Kernel').$raise($$$('::', 'ArgumentError'), \"no block given\")\n      };\n      \n      var block_self = block.$$s,\n          result;\n\n      block.$$s = null;\n\n      if (self.$$is_class || self.$$is_module) {\n        self.$$eval = true;\n        try {\n          result = block.apply(self, args);\n        }\n        finally {\n          self.$$eval = false;\n        }\n      }\n      else {\n        result = block.apply(self, args);\n      }\n\n      block.$$s = block_self;\n\n      return result;\n    ;\n    }, TMP_BasicObject_instance_exec_10.$$arity = -1);\n    \n    Opal.def(self, '$singleton_method_added', TMP_BasicObject_singleton_method_added_11 = function $$singleton_method_added($a_rest) {\n      var self = this;\n\n      return nil\n    }, TMP_BasicObject_singleton_method_added_11.$$arity = -1);\n    \n    Opal.def(self, '$singleton_method_removed', TMP_BasicObject_singleton_method_removed_12 = function $$singleton_method_removed($a_rest) {\n      var self = this;\n\n      return nil\n    }, TMP_BasicObject_singleton_method_removed_12.$$arity = -1);\n    \n    Opal.def(self, '$singleton_method_undefined', TMP_BasicObject_singleton_method_undefined_13 = function $$singleton_method_undefined($a_rest) {\n      var self = this;\n\n      return nil\n    }, TMP_BasicObject_singleton_method_undefined_13.$$arity = -1);\n    return (Opal.def(self, '$method_missing', TMP_BasicObject_method_missing_14 = function $$method_missing(symbol, $a_rest) {\n      var self = this, args, $iter = TMP_BasicObject_method_missing_14.$$p, block = $iter || nil, message = nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 1;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 1] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_BasicObject_method_missing_14.$$p = null;\n      \n      message = (function() {if ($truthy(self.$inspect && !self.$inspect.$$stub)) {\n        return \"\" + \"undefined method `\" + (symbol) + \"' for \" + (self.$inspect()) + \":\" + (self.$$class)\n      } else {\n        return \"\" + \"undefined method `\" + (symbol) + \"' for \" + (self.$$class)\n      }; return nil; })();\n      return $$$('::', 'Kernel').$raise($$$('::', 'NoMethodError').$new(message, symbol));\n    }, TMP_BasicObject_method_missing_14.$$arity = -2), nil) && 'method_missing';\n  })($nesting[0], null, $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/kernel\"] = function(Opal) {\n  function $rb_le(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs <= rhs : lhs['$<='](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $truthy = Opal.truthy, $gvars = Opal.gvars, $hash2 = Opal.hash2, $send = Opal.send, $klass = Opal.klass;\n\n  Opal.add_stubs(['$raise', '$new', '$inspect', '$!', '$=~', '$==', '$object_id', '$class', '$coerce_to?', '$<<', '$allocate', '$copy_instance_variables', '$copy_singleton_methods', '$initialize_clone', '$initialize_copy', '$define_method', '$singleton_class', '$to_proc', '$initialize_dup', '$for', '$empty?', '$pop', '$call', '$append_features', '$extend_object', '$extended', '$length', '$respond_to?', '$[]', '$nil?', '$to_a', '$to_int', '$fetch', '$Integer', '$Float', '$to_ary', '$to_str', '$coerce_to', '$to_s', '$__id__', '$instance_variable_name!', '$coerce_to!', '$===', '$enum_for', '$result', '$any?', '$print', '$format', '$puts', '$each', '$<=', '$exception', '$is_a?', '$rand', '$respond_to_missing?', '$try_convert!', '$expand_path', '$join', '$start_with?', '$srand', '$new_seed', '$sym', '$arg', '$open', '$include']);\n  \n  (function($base, $parent_nesting) {\n    var $Kernel, self = $Kernel = $module($base, 'Kernel');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Kernel_method_missing_1, TMP_Kernel_$eq$_2, TMP_Kernel_$B$_3, TMP_Kernel_$eq$eq$eq_4, TMP_Kernel_$lt$eq$gt_5, TMP_Kernel_method_6, TMP_Kernel_methods_7, TMP_Kernel_Array_8, TMP_Kernel_at_exit_9, TMP_Kernel_caller_10, TMP_Kernel_class_11, TMP_Kernel_copy_instance_variables_12, TMP_Kernel_copy_singleton_methods_13, TMP_Kernel_clone_14, TMP_Kernel_initialize_clone_15, TMP_Kernel_define_singleton_method_16, TMP_Kernel_dup_17, TMP_Kernel_initialize_dup_18, TMP_Kernel_enum_for_19, TMP_Kernel_equal$q_20, TMP_Kernel_exit_21, TMP_Kernel_extend_22, TMP_Kernel_format_23, TMP_Kernel_hash_24, TMP_Kernel_initialize_copy_25, TMP_Kernel_inspect_26, TMP_Kernel_instance_of$q_27, TMP_Kernel_instance_variable_defined$q_28, TMP_Kernel_instance_variable_get_29, TMP_Kernel_instance_variable_set_30, TMP_Kernel_remove_instance_variable_31, TMP_Kernel_instance_variables_32, TMP_Kernel_Integer_33, TMP_Kernel_Float_34, TMP_Kernel_Hash_35, TMP_Kernel_is_a$q_36, TMP_Kernel_itself_37, TMP_Kernel_lambda_38, TMP_Kernel_load_39, TMP_Kernel_loop_40, TMP_Kernel_nil$q_42, TMP_Kernel_printf_43, TMP_Kernel_proc_44, TMP_Kernel_puts_45, TMP_Kernel_p_47, TMP_Kernel_print_48, TMP_Kernel_warn_49, TMP_Kernel_raise_50, TMP_Kernel_rand_51, TMP_Kernel_respond_to$q_52, TMP_Kernel_respond_to_missing$q_53, TMP_Kernel_require_54, TMP_Kernel_require_relative_55, TMP_Kernel_require_tree_56, TMP_Kernel_singleton_class_57, TMP_Kernel_sleep_58, TMP_Kernel_srand_59, TMP_Kernel_String_60, TMP_Kernel_tap_61, TMP_Kernel_to_proc_62, TMP_Kernel_to_s_63, TMP_Kernel_catch_64, TMP_Kernel_throw_65, TMP_Kernel_open_66, TMP_Kernel_yield_self_67;\n\n    \n    \n    Opal.def(self, '$method_missing', TMP_Kernel_method_missing_1 = function $$method_missing(symbol, $a_rest) {\n      var self = this, args, $iter = TMP_Kernel_method_missing_1.$$p, block = $iter || nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 1;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 1] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Kernel_method_missing_1.$$p = null;\n      return self.$raise($$($nesting, 'NoMethodError').$new(\"\" + \"undefined method `\" + (symbol) + \"' for \" + (self.$inspect()), symbol, args))\n    }, TMP_Kernel_method_missing_1.$$arity = -2);\n    \n    Opal.def(self, '$=~', TMP_Kernel_$eq$_2 = function(obj) {\n      var self = this;\n\n      return false\n    }, TMP_Kernel_$eq$_2.$$arity = 1);\n    \n    Opal.def(self, '$!~', TMP_Kernel_$B$_3 = function(obj) {\n      var self = this;\n\n      return self['$=~'](obj)['$!']()\n    }, TMP_Kernel_$B$_3.$$arity = 1);\n    \n    Opal.def(self, '$===', TMP_Kernel_$eq$eq$eq_4 = function(other) {\n      var $a, self = this;\n\n      return ($truthy($a = self.$object_id()['$=='](other.$object_id())) ? $a : self['$=='](other))\n    }, TMP_Kernel_$eq$eq$eq_4.$$arity = 1);\n    \n    Opal.def(self, '$<=>', TMP_Kernel_$lt$eq$gt_5 = function(other) {\n      var self = this;\n\n      \n      // set guard for infinite recursion\n      self.$$comparable = true;\n\n      var x = self['$=='](other);\n\n      if (x && x !== nil) {\n        return 0;\n      }\n\n      return nil;\n    \n    }, TMP_Kernel_$lt$eq$gt_5.$$arity = 1);\n    \n    Opal.def(self, '$method', TMP_Kernel_method_6 = function $$method(name) {\n      var self = this;\n\n      \n      var meth = self['$' + name];\n\n      if (!meth || meth.$$stub) {\n        self.$raise($$($nesting, 'NameError').$new(\"\" + \"undefined method `\" + (name) + \"' for class `\" + (self.$class()) + \"'\", name));\n      }\n\n      return $$($nesting, 'Method').$new(self, meth.$$owner || self.$class(), meth, name);\n    \n    }, TMP_Kernel_method_6.$$arity = 1);\n    \n    Opal.def(self, '$methods', TMP_Kernel_methods_7 = function $$methods(all) {\n      var self = this;\n\n      if (all == null) {\n        all = true;\n      }\n      \n      var methods = [];\n\n      for (var key in self) {\n        if (key[0] == \"$\" && typeof(self[key]) === \"function\") {\n          if (all == false || all === nil) {\n            if (!Opal.hasOwnProperty.call(self, key)) {\n              continue;\n            }\n          }\n          if (self[key].$$stub === undefined) {\n            methods.push(key.substr(1));\n          }\n        }\n      }\n\n      return methods;\n    \n    }, TMP_Kernel_methods_7.$$arity = -1);\n    Opal.alias(self, \"public_methods\", \"methods\");\n    \n    Opal.def(self, '$Array', TMP_Kernel_Array_8 = function $$Array(object) {\n      var self = this;\n\n      \n      var coerced;\n\n      if (object === nil) {\n        return [];\n      }\n\n      if (object.$$is_array) {\n        return object;\n      }\n\n      coerced = $$($nesting, 'Opal')['$coerce_to?'](object, $$($nesting, 'Array'), \"to_ary\");\n      if (coerced !== nil) { return coerced; }\n\n      coerced = $$($nesting, 'Opal')['$coerce_to?'](object, $$($nesting, 'Array'), \"to_a\");\n      if (coerced !== nil) { return coerced; }\n\n      return [object];\n    \n    }, TMP_Kernel_Array_8.$$arity = 1);\n    \n    Opal.def(self, '$at_exit', TMP_Kernel_at_exit_9 = function $$at_exit() {\n      var $a, self = this, $iter = TMP_Kernel_at_exit_9.$$p, block = $iter || nil;\n      if ($gvars.__at_exit__ == null) $gvars.__at_exit__ = nil;\n\n      if ($iter) TMP_Kernel_at_exit_9.$$p = null;\n      \n      $gvars.__at_exit__ = ($truthy($a = $gvars.__at_exit__) ? $a : []);\n      return $gvars.__at_exit__['$<<'](block);\n    }, TMP_Kernel_at_exit_9.$$arity = 0);\n    \n    Opal.def(self, '$caller', TMP_Kernel_caller_10 = function $$caller($a_rest) {\n      var self = this, args;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      return []\n    }, TMP_Kernel_caller_10.$$arity = -1);\n    \n    Opal.def(self, '$class', TMP_Kernel_class_11 = function() {\n      var self = this;\n\n      return self.$$class;\n    }, TMP_Kernel_class_11.$$arity = 0);\n    \n    Opal.def(self, '$copy_instance_variables', TMP_Kernel_copy_instance_variables_12 = function $$copy_instance_variables(other) {\n      var self = this;\n\n      \n      var keys = Object.keys(other), i, ii, name;\n      for (i = 0, ii = keys.length; i < ii; i++) {\n        name = keys[i];\n        if (name.charAt(0) !== '$' && other.hasOwnProperty(name)) {\n          self[name] = other[name];\n        }\n      }\n    \n    }, TMP_Kernel_copy_instance_variables_12.$$arity = 1);\n    \n    Opal.def(self, '$copy_singleton_methods', TMP_Kernel_copy_singleton_methods_13 = function $$copy_singleton_methods(other) {\n      var self = this;\n\n      \n      var name;\n\n      if (other.hasOwnProperty('$$meta')) {\n        var other_singleton_class_proto = Opal.get_singleton_class(other).$$proto;\n        var self_singleton_class_proto = Opal.get_singleton_class(self).$$proto;\n\n        for (name in other_singleton_class_proto) {\n          if (name.charAt(0) === '$' && other_singleton_class_proto.hasOwnProperty(name)) {\n            self_singleton_class_proto[name] = other_singleton_class_proto[name];\n          }\n        }\n      }\n\n      for (name in other) {\n        if (name.charAt(0) === '$' && name.charAt(1) !== '$' && other.hasOwnProperty(name)) {\n          self[name] = other[name];\n        }\n      }\n    \n    }, TMP_Kernel_copy_singleton_methods_13.$$arity = 1);\n    \n    Opal.def(self, '$clone', TMP_Kernel_clone_14 = function $$clone($kwargs) {\n      var self = this, freeze, copy = nil;\n\n      if ($kwargs == null || !$kwargs.$$is_hash) {\n        if ($kwargs == null) {\n          $kwargs = $hash2([], {});\n        } else {\n          throw Opal.ArgumentError.$new('expected kwargs');\n        }\n      }\n      freeze = $kwargs.$$smap[\"freeze\"];\n      if (freeze == null) {\n        freeze = true\n      }\n      \n      copy = self.$class().$allocate();\n      copy.$copy_instance_variables(self);\n      copy.$copy_singleton_methods(self);\n      copy.$initialize_clone(self);\n      return copy;\n    }, TMP_Kernel_clone_14.$$arity = -1);\n    \n    Opal.def(self, '$initialize_clone', TMP_Kernel_initialize_clone_15 = function $$initialize_clone(other) {\n      var self = this;\n\n      return self.$initialize_copy(other)\n    }, TMP_Kernel_initialize_clone_15.$$arity = 1);\n    \n    Opal.def(self, '$define_singleton_method', TMP_Kernel_define_singleton_method_16 = function $$define_singleton_method(name, method) {\n      var self = this, $iter = TMP_Kernel_define_singleton_method_16.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Kernel_define_singleton_method_16.$$p = null;\n      return $send(self.$singleton_class(), 'define_method', [name, method], block.$to_proc())\n    }, TMP_Kernel_define_singleton_method_16.$$arity = -2);\n    \n    Opal.def(self, '$dup', TMP_Kernel_dup_17 = function $$dup() {\n      var self = this, copy = nil;\n\n      \n      copy = self.$class().$allocate();\n      copy.$copy_instance_variables(self);\n      copy.$initialize_dup(self);\n      return copy;\n    }, TMP_Kernel_dup_17.$$arity = 0);\n    \n    Opal.def(self, '$initialize_dup', TMP_Kernel_initialize_dup_18 = function $$initialize_dup(other) {\n      var self = this;\n\n      return self.$initialize_copy(other)\n    }, TMP_Kernel_initialize_dup_18.$$arity = 1);\n    \n    Opal.def(self, '$enum_for', TMP_Kernel_enum_for_19 = function $$enum_for(method, $a_rest) {\n      var self = this, args, $iter = TMP_Kernel_enum_for_19.$$p, block = $iter || nil;\n\n      if (method == null) {\n        method = \"each\";\n      }\n      var $args_len = arguments.length, $rest_len = $args_len - 1;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 1] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Kernel_enum_for_19.$$p = null;\n      return $send($$($nesting, 'Enumerator'), 'for', [self, method].concat(Opal.to_a(args)), block.$to_proc())\n    }, TMP_Kernel_enum_for_19.$$arity = -1);\n    Opal.alias(self, \"to_enum\", \"enum_for\");\n    \n    Opal.def(self, '$equal?', TMP_Kernel_equal$q_20 = function(other) {\n      var self = this;\n\n      return self === other;\n    }, TMP_Kernel_equal$q_20.$$arity = 1);\n    \n    Opal.def(self, '$exit', TMP_Kernel_exit_21 = function $$exit(status) {\n      var $a, self = this, block = nil;\n      if ($gvars.__at_exit__ == null) $gvars.__at_exit__ = nil;\n\n      if (status == null) {\n        status = true;\n      }\n      \n      $gvars.__at_exit__ = ($truthy($a = $gvars.__at_exit__) ? $a : []);\n      while (!($truthy($gvars.__at_exit__['$empty?']()))) {\n        \n        block = $gvars.__at_exit__.$pop();\n        block.$call();\n      };\n      \n      if (status == null) {\n        status = 0\n      } else if (status.$$is_boolean) {\n        status = status ? 0 : 1;\n      } else if (status.$$is_numeric) {\n        status = status.$to_i();\n      } else {\n        status = 0\n      }\n\n      Opal.exit(status);\n    ;\n      return nil;\n    }, TMP_Kernel_exit_21.$$arity = -1);\n    \n    Opal.def(self, '$extend', TMP_Kernel_extend_22 = function $$extend($a_rest) {\n      var self = this, mods;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      mods = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        mods[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      \n      var singleton = self.$singleton_class();\n\n      for (var i = mods.length - 1; i >= 0; i--) {\n        var mod = mods[i];\n\n        if (!mod.$$is_module) {\n          self.$raise($$($nesting, 'TypeError'), \"\" + \"wrong argument type \" + ((mod).$class()) + \" (expected Module)\");\n        }\n\n        (mod).$append_features(singleton);\n        (mod).$extend_object(self);\n        (mod).$extended(self);\n      }\n    ;\n      return self;\n    }, TMP_Kernel_extend_22.$$arity = -1);\n    \n    Opal.def(self, '$format', TMP_Kernel_format_23 = function $$format(format_string, $a_rest) {\n      var $b, self = this, args, ary = nil;\n      if ($gvars.DEBUG == null) $gvars.DEBUG = nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 1;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 1] = arguments[$arg_idx];\n      }\n      \n      if ($truthy((($b = args.$length()['$=='](1)) ? args['$[]'](0)['$respond_to?'](\"to_ary\") : args.$length()['$=='](1)))) {\n        \n        ary = $$($nesting, 'Opal')['$coerce_to?'](args['$[]'](0), $$($nesting, 'Array'), \"to_ary\");\n        if ($truthy(ary['$nil?']())) {\n        } else {\n          args = ary.$to_a()\n        };};\n      \n      var result = '',\n          //used for slicing:\n          begin_slice = 0,\n          end_slice,\n          //used for iterating over the format string:\n          i,\n          len = format_string.length,\n          //used for processing field values:\n          arg,\n          str,\n          //used for processing %g and %G fields:\n          exponent,\n          //used for keeping track of width and precision:\n          width,\n          precision,\n          //used for holding temporary values:\n          tmp_num,\n          //used for processing %{} and %<> fileds:\n          hash_parameter_key,\n          closing_brace_char,\n          //used for processing %b, %B, %o, %x, and %X fields:\n          base_number,\n          base_prefix,\n          base_neg_zero_regex,\n          base_neg_zero_digit,\n          //used for processing arguments:\n          next_arg,\n          seq_arg_num = 1,\n          pos_arg_num = 0,\n          //used for keeping track of flags:\n          flags,\n          FNONE  = 0,\n          FSHARP = 1,\n          FMINUS = 2,\n          FPLUS  = 4,\n          FZERO  = 8,\n          FSPACE = 16,\n          FWIDTH = 32,\n          FPREC  = 64,\n          FPREC0 = 128;\n\n      function CHECK_FOR_FLAGS() {\n        if (flags&FWIDTH) { self.$raise($$($nesting, 'ArgumentError'), \"flag after width\") }\n        if (flags&FPREC0) { self.$raise($$($nesting, 'ArgumentError'), \"flag after precision\") }\n      }\n\n      function CHECK_FOR_WIDTH() {\n        if (flags&FWIDTH) { self.$raise($$($nesting, 'ArgumentError'), \"width given twice\") }\n        if (flags&FPREC0) { self.$raise($$($nesting, 'ArgumentError'), \"width after precision\") }\n      }\n\n      function GET_NTH_ARG(num) {\n        if (num >= args.length) { self.$raise($$($nesting, 'ArgumentError'), \"too few arguments\") }\n        return args[num];\n      }\n\n      function GET_NEXT_ARG() {\n        switch (pos_arg_num) {\n        case -1: self.$raise($$($nesting, 'ArgumentError'), \"\" + \"unnumbered(\" + (seq_arg_num) + \") mixed with numbered\")\n        case -2: self.$raise($$($nesting, 'ArgumentError'), \"\" + \"unnumbered(\" + (seq_arg_num) + \") mixed with named\")\n        }\n        pos_arg_num = seq_arg_num++;\n        return GET_NTH_ARG(pos_arg_num - 1);\n      }\n\n      function GET_POS_ARG(num) {\n        if (pos_arg_num > 0) {\n          self.$raise($$($nesting, 'ArgumentError'), \"\" + \"numbered(\" + (num) + \") after unnumbered(\" + (pos_arg_num) + \")\")\n        }\n        if (pos_arg_num === -2) {\n          self.$raise($$($nesting, 'ArgumentError'), \"\" + \"numbered(\" + (num) + \") after named\")\n        }\n        if (num < 1) {\n          self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid index - \" + (num) + \"$\")\n        }\n        pos_arg_num = -1;\n        return GET_NTH_ARG(num - 1);\n      }\n\n      function GET_ARG() {\n        return (next_arg === undefined ? GET_NEXT_ARG() : next_arg);\n      }\n\n      function READ_NUM(label) {\n        var num, str = '';\n        for (;; i++) {\n          if (i === len) {\n            self.$raise($$($nesting, 'ArgumentError'), \"malformed format string - %*[0-9]\")\n          }\n          if (format_string.charCodeAt(i) < 48 || format_string.charCodeAt(i) > 57) {\n            i--;\n            num = parseInt(str, 10) || 0;\n            if (num > 2147483647) {\n              self.$raise($$($nesting, 'ArgumentError'), \"\" + (label) + \" too big\")\n            }\n            return num;\n          }\n          str += format_string.charAt(i);\n        }\n      }\n\n      function READ_NUM_AFTER_ASTER(label) {\n        var arg, num = READ_NUM(label);\n        if (format_string.charAt(i + 1) === '$') {\n          i++;\n          arg = GET_POS_ARG(num);\n        } else {\n          arg = GET_NEXT_ARG();\n        }\n        return (arg).$to_int();\n      }\n\n      for (i = format_string.indexOf('%'); i !== -1; i = format_string.indexOf('%', i)) {\n        str = undefined;\n\n        flags = FNONE;\n        width = -1;\n        precision = -1;\n        next_arg = undefined;\n\n        end_slice = i;\n\n        i++;\n\n        switch (format_string.charAt(i)) {\n        case '%':\n          begin_slice = i;\n        case '':\n        case '\\n':\n        case '\\0':\n          i++;\n          continue;\n        }\n\n        format_sequence: for (; i < len; i++) {\n          switch (format_string.charAt(i)) {\n\n          case ' ':\n            CHECK_FOR_FLAGS();\n            flags |= FSPACE;\n            continue format_sequence;\n\n          case '#':\n            CHECK_FOR_FLAGS();\n            flags |= FSHARP;\n            continue format_sequence;\n\n          case '+':\n            CHECK_FOR_FLAGS();\n            flags |= FPLUS;\n            continue format_sequence;\n\n          case '-':\n            CHECK_FOR_FLAGS();\n            flags |= FMINUS;\n            continue format_sequence;\n\n          case '0':\n            CHECK_FOR_FLAGS();\n            flags |= FZERO;\n            continue format_sequence;\n\n          case '1':\n          case '2':\n          case '3':\n          case '4':\n          case '5':\n          case '6':\n          case '7':\n          case '8':\n          case '9':\n            tmp_num = READ_NUM('width');\n            if (format_string.charAt(i + 1) === '$') {\n              if (i + 2 === len) {\n                str = '%';\n                i++;\n                break format_sequence;\n              }\n              if (next_arg !== undefined) {\n                self.$raise($$($nesting, 'ArgumentError'), \"\" + \"value given twice - %\" + (tmp_num) + \"$\")\n              }\n              next_arg = GET_POS_ARG(tmp_num);\n              i++;\n            } else {\n              CHECK_FOR_WIDTH();\n              flags |= FWIDTH;\n              width = tmp_num;\n            }\n            continue format_sequence;\n\n          case '<':\n          case '\\{':\n            closing_brace_char = (format_string.charAt(i) === '<' ? '>' : '\\}');\n            hash_parameter_key = '';\n\n            i++;\n\n            for (;; i++) {\n              if (i === len) {\n                self.$raise($$($nesting, 'ArgumentError'), \"malformed name - unmatched parenthesis\")\n              }\n              if (format_string.charAt(i) === closing_brace_char) {\n\n                if (pos_arg_num > 0) {\n                  self.$raise($$($nesting, 'ArgumentError'), \"\" + \"named \" + (hash_parameter_key) + \" after unnumbered(\" + (pos_arg_num) + \")\")\n                }\n                if (pos_arg_num === -1) {\n                  self.$raise($$($nesting, 'ArgumentError'), \"\" + \"named \" + (hash_parameter_key) + \" after numbered\")\n                }\n                pos_arg_num = -2;\n\n                if (args[0] === undefined || !args[0].$$is_hash) {\n                  self.$raise($$($nesting, 'ArgumentError'), \"one hash required\")\n                }\n\n                next_arg = (args[0]).$fetch(hash_parameter_key);\n\n                if (closing_brace_char === '>') {\n                  continue format_sequence;\n                } else {\n                  str = next_arg.toString();\n                  if (precision !== -1) { str = str.slice(0, precision); }\n                  if (flags&FMINUS) {\n                    while (str.length < width) { str = str + ' '; }\n                  } else {\n                    while (str.length < width) { str = ' ' + str; }\n                  }\n                  break format_sequence;\n                }\n              }\n              hash_parameter_key += format_string.charAt(i);\n            }\n\n          case '*':\n            i++;\n            CHECK_FOR_WIDTH();\n            flags |= FWIDTH;\n            width = READ_NUM_AFTER_ASTER('width');\n            if (width < 0) {\n              flags |= FMINUS;\n              width = -width;\n            }\n            continue format_sequence;\n\n          case '.':\n            if (flags&FPREC0) {\n              self.$raise($$($nesting, 'ArgumentError'), \"precision given twice\")\n            }\n            flags |= FPREC|FPREC0;\n            precision = 0;\n            i++;\n            if (format_string.charAt(i) === '*') {\n              i++;\n              precision = READ_NUM_AFTER_ASTER('precision');\n              if (precision < 0) {\n                flags &= ~FPREC;\n              }\n              continue format_sequence;\n            }\n            precision = READ_NUM('precision');\n            continue format_sequence;\n\n          case 'd':\n          case 'i':\n          case 'u':\n            arg = self.$Integer(GET_ARG());\n            if (arg >= 0) {\n              str = arg.toString();\n              while (str.length < precision) { str = '0' + str; }\n              if (flags&FMINUS) {\n                if (flags&FPLUS || flags&FSPACE) { str = (flags&FPLUS ? '+' : ' ') + str; }\n                while (str.length < width) { str = str + ' '; }\n              } else {\n                if (flags&FZERO && precision === -1) {\n                  while (str.length < width - ((flags&FPLUS || flags&FSPACE) ? 1 : 0)) { str = '0' + str; }\n                  if (flags&FPLUS || flags&FSPACE) { str = (flags&FPLUS ? '+' : ' ') + str; }\n                } else {\n                  if (flags&FPLUS || flags&FSPACE) { str = (flags&FPLUS ? '+' : ' ') + str; }\n                  while (str.length < width) { str = ' ' + str; }\n                }\n              }\n            } else {\n              str = (-arg).toString();\n              while (str.length < precision) { str = '0' + str; }\n              if (flags&FMINUS) {\n                str = '-' + str;\n                while (str.length < width) { str = str + ' '; }\n              } else {\n                if (flags&FZERO && precision === -1) {\n                  while (str.length < width - 1) { str = '0' + str; }\n                  str = '-' + str;\n                } else {\n                  str = '-' + str;\n                  while (str.length < width) { str = ' ' + str; }\n                }\n              }\n            }\n            break format_sequence;\n\n          case 'b':\n          case 'B':\n          case 'o':\n          case 'x':\n          case 'X':\n            switch (format_string.charAt(i)) {\n            case 'b':\n            case 'B':\n              base_number = 2;\n              base_prefix = '0b';\n              base_neg_zero_regex = /^1+/;\n              base_neg_zero_digit = '1';\n              break;\n            case 'o':\n              base_number = 8;\n              base_prefix = '0';\n              base_neg_zero_regex = /^3?7+/;\n              base_neg_zero_digit = '7';\n              break;\n            case 'x':\n            case 'X':\n              base_number = 16;\n              base_prefix = '0x';\n              base_neg_zero_regex = /^f+/;\n              base_neg_zero_digit = 'f';\n              break;\n            }\n            arg = self.$Integer(GET_ARG());\n            if (arg >= 0) {\n              str = arg.toString(base_number);\n              while (str.length < precision) { str = '0' + str; }\n              if (flags&FMINUS) {\n                if (flags&FPLUS || flags&FSPACE) { str = (flags&FPLUS ? '+' : ' ') + str; }\n                if (flags&FSHARP && arg !== 0) { str = base_prefix + str; }\n                while (str.length < width) { str = str + ' '; }\n              } else {\n                if (flags&FZERO && precision === -1) {\n                  while (str.length < width - ((flags&FPLUS || flags&FSPACE) ? 1 : 0) - ((flags&FSHARP && arg !== 0) ? base_prefix.length : 0)) { str = '0' + str; }\n                  if (flags&FSHARP && arg !== 0) { str = base_prefix + str; }\n                  if (flags&FPLUS || flags&FSPACE) { str = (flags&FPLUS ? '+' : ' ') + str; }\n                } else {\n                  if (flags&FSHARP && arg !== 0) { str = base_prefix + str; }\n                  if (flags&FPLUS || flags&FSPACE) { str = (flags&FPLUS ? '+' : ' ') + str; }\n                  while (str.length < width) { str = ' ' + str; }\n                }\n              }\n            } else {\n              if (flags&FPLUS || flags&FSPACE) {\n                str = (-arg).toString(base_number);\n                while (str.length < precision) { str = '0' + str; }\n                if (flags&FMINUS) {\n                  if (flags&FSHARP) { str = base_prefix + str; }\n                  str = '-' + str;\n                  while (str.length < width) { str = str + ' '; }\n                } else {\n                  if (flags&FZERO && precision === -1) {\n                    while (str.length < width - 1 - (flags&FSHARP ? 2 : 0)) { str = '0' + str; }\n                    if (flags&FSHARP) { str = base_prefix + str; }\n                    str = '-' + str;\n                  } else {\n                    if (flags&FSHARP) { str = base_prefix + str; }\n                    str = '-' + str;\n                    while (str.length < width) { str = ' ' + str; }\n                  }\n                }\n              } else {\n                str = (arg >>> 0).toString(base_number).replace(base_neg_zero_regex, base_neg_zero_digit);\n                while (str.length < precision - 2) { str = base_neg_zero_digit + str; }\n                if (flags&FMINUS) {\n                  str = '..' + str;\n                  if (flags&FSHARP) { str = base_prefix + str; }\n                  while (str.length < width) { str = str + ' '; }\n                } else {\n                  if (flags&FZERO && precision === -1) {\n                    while (str.length < width - 2 - (flags&FSHARP ? base_prefix.length : 0)) { str = base_neg_zero_digit + str; }\n                    str = '..' + str;\n                    if (flags&FSHARP) { str = base_prefix + str; }\n                  } else {\n                    str = '..' + str;\n                    if (flags&FSHARP) { str = base_prefix + str; }\n                    while (str.length < width) { str = ' ' + str; }\n                  }\n                }\n              }\n            }\n            if (format_string.charAt(i) === format_string.charAt(i).toUpperCase()) {\n              str = str.toUpperCase();\n            }\n            break format_sequence;\n\n          case 'f':\n          case 'e':\n          case 'E':\n          case 'g':\n          case 'G':\n            arg = self.$Float(GET_ARG());\n            if (arg >= 0 || isNaN(arg)) {\n              if (arg === Infinity) {\n                str = 'Inf';\n              } else {\n                switch (format_string.charAt(i)) {\n                case 'f':\n                  str = arg.toFixed(precision === -1 ? 6 : precision);\n                  break;\n                case 'e':\n                case 'E':\n                  str = arg.toExponential(precision === -1 ? 6 : precision);\n                  break;\n                case 'g':\n                case 'G':\n                  str = arg.toExponential();\n                  exponent = parseInt(str.split('e')[1], 10);\n                  if (!(exponent < -4 || exponent >= (precision === -1 ? 6 : precision))) {\n                    str = arg.toPrecision(precision === -1 ? (flags&FSHARP ? 6 : undefined) : precision);\n                  }\n                  break;\n                }\n              }\n              if (flags&FMINUS) {\n                if (flags&FPLUS || flags&FSPACE) { str = (flags&FPLUS ? '+' : ' ') + str; }\n                while (str.length < width) { str = str + ' '; }\n              } else {\n                if (flags&FZERO && arg !== Infinity && !isNaN(arg)) {\n                  while (str.length < width - ((flags&FPLUS || flags&FSPACE) ? 1 : 0)) { str = '0' + str; }\n                  if (flags&FPLUS || flags&FSPACE) { str = (flags&FPLUS ? '+' : ' ') + str; }\n                } else {\n                  if (flags&FPLUS || flags&FSPACE) { str = (flags&FPLUS ? '+' : ' ') + str; }\n                  while (str.length < width) { str = ' ' + str; }\n                }\n              }\n            } else {\n              if (arg === -Infinity) {\n                str = 'Inf';\n              } else {\n                switch (format_string.charAt(i)) {\n                case 'f':\n                  str = (-arg).toFixed(precision === -1 ? 6 : precision);\n                  break;\n                case 'e':\n                case 'E':\n                  str = (-arg).toExponential(precision === -1 ? 6 : precision);\n                  break;\n                case 'g':\n                case 'G':\n                  str = (-arg).toExponential();\n                  exponent = parseInt(str.split('e')[1], 10);\n                  if (!(exponent < -4 || exponent >= (precision === -1 ? 6 : precision))) {\n                    str = (-arg).toPrecision(precision === -1 ? (flags&FSHARP ? 6 : undefined) : precision);\n                  }\n                  break;\n                }\n              }\n              if (flags&FMINUS) {\n                str = '-' + str;\n                while (str.length < width) { str = str + ' '; }\n              } else {\n                if (flags&FZERO && arg !== -Infinity) {\n                  while (str.length < width - 1) { str = '0' + str; }\n                  str = '-' + str;\n                } else {\n                  str = '-' + str;\n                  while (str.length < width) { str = ' ' + str; }\n                }\n              }\n            }\n            if (format_string.charAt(i) === format_string.charAt(i).toUpperCase() && arg !== Infinity && arg !== -Infinity && !isNaN(arg)) {\n              str = str.toUpperCase();\n            }\n            str = str.replace(/([eE][-+]?)([0-9])$/, '$10$2');\n            break format_sequence;\n\n          case 'a':\n          case 'A':\n            // Not implemented because there are no specs for this field type.\n            self.$raise($$($nesting, 'NotImplementedError'), \"`A` and `a` format field types are not implemented in Opal yet\")\n\n          case 'c':\n            arg = GET_ARG();\n            if ((arg)['$respond_to?'](\"to_ary\")) { arg = (arg).$to_ary()[0]; }\n            if ((arg)['$respond_to?'](\"to_str\")) {\n              str = (arg).$to_str();\n            } else {\n              str = String.fromCharCode($$($nesting, 'Opal').$coerce_to(arg, $$($nesting, 'Integer'), \"to_int\"));\n            }\n            if (str.length !== 1) {\n              self.$raise($$($nesting, 'ArgumentError'), \"%c requires a character\")\n            }\n            if (flags&FMINUS) {\n              while (str.length < width) { str = str + ' '; }\n            } else {\n              while (str.length < width) { str = ' ' + str; }\n            }\n            break format_sequence;\n\n          case 'p':\n            str = (GET_ARG()).$inspect();\n            if (precision !== -1) { str = str.slice(0, precision); }\n            if (flags&FMINUS) {\n              while (str.length < width) { str = str + ' '; }\n            } else {\n              while (str.length < width) { str = ' ' + str; }\n            }\n            break format_sequence;\n\n          case 's':\n            str = (GET_ARG()).$to_s();\n            if (precision !== -1) { str = str.slice(0, precision); }\n            if (flags&FMINUS) {\n              while (str.length < width) { str = str + ' '; }\n            } else {\n              while (str.length < width) { str = ' ' + str; }\n            }\n            break format_sequence;\n\n          default:\n            self.$raise($$($nesting, 'ArgumentError'), \"\" + \"malformed format string - %\" + (format_string.charAt(i)))\n          }\n        }\n\n        if (str === undefined) {\n          self.$raise($$($nesting, 'ArgumentError'), \"malformed format string - %\")\n        }\n\n        result += format_string.slice(begin_slice, end_slice) + str;\n        begin_slice = i + 1;\n      }\n\n      if ($gvars.DEBUG && pos_arg_num >= 0 && seq_arg_num < args.length) {\n        self.$raise($$($nesting, 'ArgumentError'), \"too many arguments for format string\")\n      }\n\n      return result + format_string.slice(begin_slice);\n    ;\n    }, TMP_Kernel_format_23.$$arity = -2);\n    \n    Opal.def(self, '$hash', TMP_Kernel_hash_24 = function $$hash() {\n      var self = this;\n\n      return self.$__id__()\n    }, TMP_Kernel_hash_24.$$arity = 0);\n    \n    Opal.def(self, '$initialize_copy', TMP_Kernel_initialize_copy_25 = function $$initialize_copy(other) {\n      var self = this;\n\n      return nil\n    }, TMP_Kernel_initialize_copy_25.$$arity = 1);\n    \n    Opal.def(self, '$inspect', TMP_Kernel_inspect_26 = function $$inspect() {\n      var self = this;\n\n      return self.$to_s()\n    }, TMP_Kernel_inspect_26.$$arity = 0);\n    \n    Opal.def(self, '$instance_of?', TMP_Kernel_instance_of$q_27 = function(klass) {\n      var self = this;\n\n      \n      if (!klass.$$is_class && !klass.$$is_module) {\n        self.$raise($$($nesting, 'TypeError'), \"class or module required\");\n      }\n\n      return self.$$class === klass;\n    \n    }, TMP_Kernel_instance_of$q_27.$$arity = 1);\n    \n    Opal.def(self, '$instance_variable_defined?', TMP_Kernel_instance_variable_defined$q_28 = function(name) {\n      var self = this;\n\n      \n      name = $$($nesting, 'Opal')['$instance_variable_name!'](name);\n      return Opal.hasOwnProperty.call(self, name.substr(1));;\n    }, TMP_Kernel_instance_variable_defined$q_28.$$arity = 1);\n    \n    Opal.def(self, '$instance_variable_get', TMP_Kernel_instance_variable_get_29 = function $$instance_variable_get(name) {\n      var self = this;\n\n      \n      name = $$($nesting, 'Opal')['$instance_variable_name!'](name);\n      \n      var ivar = self[Opal.ivar(name.substr(1))];\n\n      return ivar == null ? nil : ivar;\n    ;\n    }, TMP_Kernel_instance_variable_get_29.$$arity = 1);\n    \n    Opal.def(self, '$instance_variable_set', TMP_Kernel_instance_variable_set_30 = function $$instance_variable_set(name, value) {\n      var self = this;\n\n      \n      name = $$($nesting, 'Opal')['$instance_variable_name!'](name);\n      return self[Opal.ivar(name.substr(1))] = value;;\n    }, TMP_Kernel_instance_variable_set_30.$$arity = 2);\n    \n    Opal.def(self, '$remove_instance_variable', TMP_Kernel_remove_instance_variable_31 = function $$remove_instance_variable(name) {\n      var self = this;\n\n      \n      name = $$($nesting, 'Opal')['$instance_variable_name!'](name);\n      \n      var key = Opal.ivar(name.substr(1)),\n          val;\n      if (self.hasOwnProperty(key)) {\n        val = self[key];\n        delete self[key];\n        return val;\n      }\n    ;\n      return self.$raise($$($nesting, 'NameError'), \"\" + \"instance variable \" + (name) + \" not defined\");\n    }, TMP_Kernel_remove_instance_variable_31.$$arity = 1);\n    \n    Opal.def(self, '$instance_variables', TMP_Kernel_instance_variables_32 = function $$instance_variables() {\n      var self = this;\n\n      \n      var result = [], ivar;\n\n      for (var name in self) {\n        if (self.hasOwnProperty(name) && name.charAt(0) !== '$') {\n          if (name.substr(-1) === '$') {\n            ivar = name.slice(0, name.length - 1);\n          } else {\n            ivar = name;\n          }\n          result.push('@' + ivar);\n        }\n      }\n\n      return result;\n    \n    }, TMP_Kernel_instance_variables_32.$$arity = 0);\n    \n    Opal.def(self, '$Integer', TMP_Kernel_Integer_33 = function $$Integer(value, base) {\n      var self = this;\n\n      \n      var i, str, base_digits;\n\n      if (!value.$$is_string) {\n        if (base !== undefined) {\n          self.$raise($$($nesting, 'ArgumentError'), \"base specified for non string value\")\n        }\n        if (value === nil) {\n          self.$raise($$($nesting, 'TypeError'), \"can't convert nil into Integer\")\n        }\n        if (value.$$is_number) {\n          if (value === Infinity || value === -Infinity || isNaN(value)) {\n            self.$raise($$($nesting, 'FloatDomainError'), value)\n          }\n          return Math.floor(value);\n        }\n        if (value['$respond_to?'](\"to_int\")) {\n          i = value.$to_int();\n          if (i !== nil) {\n            return i;\n          }\n        }\n        return $$($nesting, 'Opal')['$coerce_to!'](value, $$($nesting, 'Integer'), \"to_i\");\n      }\n\n      if (value === \"0\") {\n        return 0;\n      }\n\n      if (base === undefined) {\n        base = 0;\n      } else {\n        base = $$($nesting, 'Opal').$coerce_to(base, $$($nesting, 'Integer'), \"to_int\");\n        if (base === 1 || base < 0 || base > 36) {\n          self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid radix \" + (base))\n        }\n      }\n\n      str = value.toLowerCase();\n\n      str = str.replace(/(\\d)_(?=\\d)/g, '$1');\n\n      str = str.replace(/^(\\s*[+-]?)(0[bodx]?)/, function (_, head, flag) {\n        switch (flag) {\n        case '0b':\n          if (base === 0 || base === 2) {\n            base = 2;\n            return head;\n          }\n        case '0':\n        case '0o':\n          if (base === 0 || base === 8) {\n            base = 8;\n            return head;\n          }\n        case '0d':\n          if (base === 0 || base === 10) {\n            base = 10;\n            return head;\n          }\n        case '0x':\n          if (base === 0 || base === 16) {\n            base = 16;\n            return head;\n          }\n        }\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid value for Integer(): \\\"\" + (value) + \"\\\"\")\n      });\n\n      base = (base === 0 ? 10 : base);\n\n      base_digits = '0-' + (base <= 10 ? base - 1 : '9a-' + String.fromCharCode(97 + (base - 11)));\n\n      if (!(new RegExp('^\\\\s*[+-]?[' + base_digits + ']+\\\\s*$')).test(str)) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid value for Integer(): \\\"\" + (value) + \"\\\"\")\n      }\n\n      i = parseInt(str, base);\n\n      if (isNaN(i)) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid value for Integer(): \\\"\" + (value) + \"\\\"\")\n      }\n\n      return i;\n    \n    }, TMP_Kernel_Integer_33.$$arity = -2);\n    \n    Opal.def(self, '$Float', TMP_Kernel_Float_34 = function $$Float(value) {\n      var self = this;\n\n      \n      var str;\n\n      if (value === nil) {\n        self.$raise($$($nesting, 'TypeError'), \"can't convert nil into Float\")\n      }\n\n      if (value.$$is_string) {\n        str = value.toString();\n\n        str = str.replace(/(\\d)_(?=\\d)/g, '$1');\n\n        //Special case for hex strings only:\n        if (/^\\s*[-+]?0[xX][0-9a-fA-F]+\\s*$/.test(str)) {\n          return self.$Integer(str);\n        }\n\n        if (!/^\\s*[-+]?[0-9]*\\.?[0-9]+([eE][-+]?[0-9]+)?\\s*$/.test(str)) {\n          self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid value for Float(): \\\"\" + (value) + \"\\\"\")\n        }\n\n        return parseFloat(str);\n      }\n\n      return $$($nesting, 'Opal')['$coerce_to!'](value, $$($nesting, 'Float'), \"to_f\");\n    \n    }, TMP_Kernel_Float_34.$$arity = 1);\n    \n    Opal.def(self, '$Hash', TMP_Kernel_Hash_35 = function $$Hash(arg) {\n      var $a, self = this;\n\n      \n      if ($truthy(($truthy($a = arg['$nil?']()) ? $a : arg['$==']([])))) {\n        return $hash2([], {})};\n      if ($truthy($$($nesting, 'Hash')['$==='](arg))) {\n        return arg};\n      return $$($nesting, 'Opal')['$coerce_to!'](arg, $$($nesting, 'Hash'), \"to_hash\");\n    }, TMP_Kernel_Hash_35.$$arity = 1);\n    \n    Opal.def(self, '$is_a?', TMP_Kernel_is_a$q_36 = function(klass) {\n      var self = this;\n\n      \n      if (!klass.$$is_class && !klass.$$is_module) {\n        self.$raise($$($nesting, 'TypeError'), \"class or module required\");\n      }\n\n      return Opal.is_a(self, klass);\n    \n    }, TMP_Kernel_is_a$q_36.$$arity = 1);\n    \n    Opal.def(self, '$itself', TMP_Kernel_itself_37 = function $$itself() {\n      var self = this;\n\n      return self\n    }, TMP_Kernel_itself_37.$$arity = 0);\n    Opal.alias(self, \"kind_of?\", \"is_a?\");\n    \n    Opal.def(self, '$lambda', TMP_Kernel_lambda_38 = function $$lambda() {\n      var self = this, $iter = TMP_Kernel_lambda_38.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Kernel_lambda_38.$$p = null;\n      return Opal.lambda(block);\n    }, TMP_Kernel_lambda_38.$$arity = 0);\n    \n    Opal.def(self, '$load', TMP_Kernel_load_39 = function $$load(file) {\n      var self = this;\n\n      \n      file = $$($nesting, 'Opal')['$coerce_to!'](file, $$($nesting, 'String'), \"to_str\");\n      return Opal.load(file);\n    }, TMP_Kernel_load_39.$$arity = 1);\n    \n    Opal.def(self, '$loop', TMP_Kernel_loop_40 = function $$loop() {\n      var TMP_41, $a, self = this, $iter = TMP_Kernel_loop_40.$$p, $yield = $iter || nil, e = nil;\n\n      if ($iter) TMP_Kernel_loop_40.$$p = null;\n      \n      if (($yield !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"loop\"], (TMP_41 = function(){var self = TMP_41.$$s || this;\n\n        return $$$($$($nesting, 'Float'), 'INFINITY')}, TMP_41.$$s = self, TMP_41.$$arity = 0, TMP_41))\n      };\n      while ($truthy(true)) {\n        \n        try {\n          Opal.yieldX($yield, [])\n        } catch ($err) {\n          if (Opal.rescue($err, [$$($nesting, 'StopIteration')])) {e = $err;\n            try {\n              return e.$result()\n            } finally { Opal.pop_exception() }\n          } else { throw $err; }\n        };\n      };\n      return self;\n    }, TMP_Kernel_loop_40.$$arity = 0);\n    \n    Opal.def(self, '$nil?', TMP_Kernel_nil$q_42 = function() {\n      var self = this;\n\n      return false\n    }, TMP_Kernel_nil$q_42.$$arity = 0);\n    Opal.alias(self, \"object_id\", \"__id__\");\n    \n    Opal.def(self, '$printf', TMP_Kernel_printf_43 = function $$printf($a_rest) {\n      var self = this, args;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      if ($truthy(args['$any?']())) {\n        self.$print($send(self, 'format', Opal.to_a(args)))};\n      return nil;\n    }, TMP_Kernel_printf_43.$$arity = -1);\n    \n    Opal.def(self, '$proc', TMP_Kernel_proc_44 = function $$proc() {\n      var self = this, $iter = TMP_Kernel_proc_44.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Kernel_proc_44.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        self.$raise($$($nesting, 'ArgumentError'), \"tried to create Proc object without a block\")\n      };\n      block.$$is_lambda = false;\n      return block;\n    }, TMP_Kernel_proc_44.$$arity = 0);\n    \n    Opal.def(self, '$puts', TMP_Kernel_puts_45 = function $$puts($a_rest) {\n      var self = this, strs;\n      if ($gvars.stdout == null) $gvars.stdout = nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      strs = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        strs[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      return $send($gvars.stdout, 'puts', Opal.to_a(strs))\n    }, TMP_Kernel_puts_45.$$arity = -1);\n    \n    Opal.def(self, '$p', TMP_Kernel_p_47 = function $$p($a_rest) {\n      var TMP_46, self = this, args;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      $send(args, 'each', [], (TMP_46 = function(obj){var self = TMP_46.$$s || this;\n        if ($gvars.stdout == null) $gvars.stdout = nil;\nif (obj == null) obj = nil;\n      return $gvars.stdout.$puts(obj.$inspect())}, TMP_46.$$s = self, TMP_46.$$arity = 1, TMP_46));\n      if ($truthy($rb_le(args.$length(), 1))) {\n        return args['$[]'](0)\n      } else {\n        return args\n      };\n    }, TMP_Kernel_p_47.$$arity = -1);\n    \n    Opal.def(self, '$print', TMP_Kernel_print_48 = function $$print($a_rest) {\n      var self = this, strs;\n      if ($gvars.stdout == null) $gvars.stdout = nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      strs = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        strs[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      return $send($gvars.stdout, 'print', Opal.to_a(strs))\n    }, TMP_Kernel_print_48.$$arity = -1);\n    \n    Opal.def(self, '$warn', TMP_Kernel_warn_49 = function $$warn($a_rest) {\n      var $b, self = this, strs;\n      if ($gvars.VERBOSE == null) $gvars.VERBOSE = nil;\n      if ($gvars.stderr == null) $gvars.stderr = nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      strs = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        strs[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($truthy(($truthy($b = $gvars.VERBOSE['$nil?']()) ? $b : strs['$empty?']()))) {\n        return nil\n      } else {\n        return $send($gvars.stderr, 'puts', Opal.to_a(strs))\n      }\n    }, TMP_Kernel_warn_49.$$arity = -1);\n    \n    Opal.def(self, '$raise', TMP_Kernel_raise_50 = function $$raise(exception, string, _backtrace) {\n      var self = this;\n      if ($gvars[\"!\"] == null) $gvars[\"!\"] = nil;\n\n      if (string == null) {\n        string = nil;\n      }\n      if (_backtrace == null) {\n        _backtrace = nil;\n      }\n      \n      if (exception == null && $gvars[\"!\"] !== nil) {\n        throw $gvars[\"!\"];\n      }\n      if (exception == null) {\n        exception = $$($nesting, 'RuntimeError').$new();\n      }\n      else if (exception.$$is_string) {\n        exception = $$($nesting, 'RuntimeError').$new(exception);\n      }\n      // using respond_to? and not an undefined check to avoid method_missing matching as true\n      else if (exception.$$is_class && exception['$respond_to?'](\"exception\")) {\n        exception = exception.$exception(string);\n      }\n      else if (exception['$is_a?']($$($nesting, 'Exception'))) {\n        // exception is fine\n      }\n      else {\n        exception = $$($nesting, 'TypeError').$new(\"exception class/object expected\");\n      }\n\n      if ($gvars[\"!\"] !== nil) {\n        Opal.exceptions.push($gvars[\"!\"]);\n      }\n\n      $gvars[\"!\"] = exception;\n\n      throw exception;\n    \n    }, TMP_Kernel_raise_50.$$arity = -1);\n    Opal.alias(self, \"fail\", \"raise\");\n    \n    Opal.def(self, '$rand', TMP_Kernel_rand_51 = function $$rand(max) {\n      var self = this;\n\n      \n      \n      if (max === undefined) {\n        return $$$($$($nesting, 'Random'), 'DEFAULT').$rand();\n      }\n\n      if (max.$$is_number) {\n        if (max < 0) {\n          max = Math.abs(max);\n        }\n\n        if (max % 1 !== 0) {\n          max = max.$to_i();\n        }\n\n        if (max === 0) {\n          max = undefined;\n        }\n      }\n    ;\n      return $$$($$($nesting, 'Random'), 'DEFAULT').$rand(max);\n    }, TMP_Kernel_rand_51.$$arity = -1);\n    \n    Opal.def(self, '$respond_to?', TMP_Kernel_respond_to$q_52 = function(name, include_all) {\n      var self = this;\n\n      if (include_all == null) {\n        include_all = false;\n      }\n      \n      if ($truthy(self['$respond_to_missing?'](name, include_all))) {\n        return true};\n      \n      var body = self['$' + name];\n\n      if (typeof(body) === \"function\" && !body.$$stub) {\n        return true;\n      }\n    ;\n      return false;\n    }, TMP_Kernel_respond_to$q_52.$$arity = -2);\n    \n    Opal.def(self, '$respond_to_missing?', TMP_Kernel_respond_to_missing$q_53 = function(method_name, include_all) {\n      var self = this;\n\n      if (include_all == null) {\n        include_all = false;\n      }\n      return false\n    }, TMP_Kernel_respond_to_missing$q_53.$$arity = -2);\n    \n    Opal.def(self, '$require', TMP_Kernel_require_54 = function $$require(file) {\n      var self = this;\n\n      \n      file = $$($nesting, 'Opal')['$coerce_to!'](file, $$($nesting, 'String'), \"to_str\");\n      return Opal.require(file);\n    }, TMP_Kernel_require_54.$$arity = 1);\n    \n    Opal.def(self, '$require_relative', TMP_Kernel_require_relative_55 = function $$require_relative(file) {\n      var self = this;\n\n      \n      $$($nesting, 'Opal')['$try_convert!'](file, $$($nesting, 'String'), \"to_str\");\n      file = $$($nesting, 'File').$expand_path($$($nesting, 'File').$join(Opal.current_file, \"..\", file));\n      return Opal.require(file);\n    }, TMP_Kernel_require_relative_55.$$arity = 1);\n    \n    Opal.def(self, '$require_tree', TMP_Kernel_require_tree_56 = function $$require_tree(path) {\n      var self = this;\n\n      \n      var result = [];\n\n      path = $$($nesting, 'File').$expand_path(path)\n      path = Opal.normalize(path);\n      if (path === '.') path = '';\n      for (var name in Opal.modules) {\n        if ((name)['$start_with?'](path)) {\n          result.push([name, Opal.require(name)]);\n        }\n      }\n\n      return result;\n    \n    }, TMP_Kernel_require_tree_56.$$arity = 1);\n    Opal.alias(self, \"send\", \"__send__\");\n    Opal.alias(self, \"public_send\", \"__send__\");\n    \n    Opal.def(self, '$singleton_class', TMP_Kernel_singleton_class_57 = function $$singleton_class() {\n      var self = this;\n\n      return Opal.get_singleton_class(self);\n    }, TMP_Kernel_singleton_class_57.$$arity = 0);\n    \n    Opal.def(self, '$sleep', TMP_Kernel_sleep_58 = function $$sleep(seconds) {\n      var self = this;\n\n      if (seconds == null) {\n        seconds = nil;\n      }\n      \n      if (seconds === nil) {\n        self.$raise($$($nesting, 'TypeError'), \"can't convert NilClass into time interval\")\n      }\n      if (!seconds.$$is_number) {\n        self.$raise($$($nesting, 'TypeError'), \"\" + \"can't convert \" + (seconds.$class()) + \" into time interval\")\n      }\n      if (seconds < 0) {\n        self.$raise($$($nesting, 'ArgumentError'), \"time interval must be positive\")\n      }\n      var get_time = Opal.global.performance ?\n        function() {return performance.now()} :\n        function() {return new Date()}\n\n      var t = get_time();\n      while (get_time() - t <= seconds * 1000);\n      return seconds;\n    \n    }, TMP_Kernel_sleep_58.$$arity = -1);\n    Opal.alias(self, \"sprintf\", \"format\");\n    \n    Opal.def(self, '$srand', TMP_Kernel_srand_59 = function $$srand(seed) {\n      var self = this;\n\n      if (seed == null) {\n        seed = $$($nesting, 'Random').$new_seed();\n      }\n      return $$($nesting, 'Random').$srand(seed)\n    }, TMP_Kernel_srand_59.$$arity = -1);\n    \n    Opal.def(self, '$String', TMP_Kernel_String_60 = function $$String(str) {\n      var $a, self = this;\n\n      return ($truthy($a = $$($nesting, 'Opal')['$coerce_to?'](str, $$($nesting, 'String'), \"to_str\")) ? $a : $$($nesting, 'Opal')['$coerce_to!'](str, $$($nesting, 'String'), \"to_s\"))\n    }, TMP_Kernel_String_60.$$arity = 1);\n    \n    Opal.def(self, '$tap', TMP_Kernel_tap_61 = function $$tap() {\n      var self = this, $iter = TMP_Kernel_tap_61.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Kernel_tap_61.$$p = null;\n      \n      Opal.yield1(block, self);\n      return self;\n    }, TMP_Kernel_tap_61.$$arity = 0);\n    \n    Opal.def(self, '$to_proc', TMP_Kernel_to_proc_62 = function $$to_proc() {\n      var self = this;\n\n      return self\n    }, TMP_Kernel_to_proc_62.$$arity = 0);\n    \n    Opal.def(self, '$to_s', TMP_Kernel_to_s_63 = function $$to_s() {\n      var self = this;\n\n      return \"\" + \"#<\" + (self.$class()) + \":0x\" + (self.$__id__().$to_s(16)) + \">\"\n    }, TMP_Kernel_to_s_63.$$arity = 0);\n    \n    Opal.def(self, '$catch', TMP_Kernel_catch_64 = function(sym) {\n      var self = this, $iter = TMP_Kernel_catch_64.$$p, $yield = $iter || nil, e = nil;\n\n      if ($iter) TMP_Kernel_catch_64.$$p = null;\n      try {\n        return Opal.yieldX($yield, []);\n      } catch ($err) {\n        if (Opal.rescue($err, [$$($nesting, 'UncaughtThrowError')])) {e = $err;\n          try {\n            \n            if (e.$sym()['$=='](sym)) {\n              return e.$arg()};\n            return self.$raise();\n          } finally { Opal.pop_exception() }\n        } else { throw $err; }\n      }\n    }, TMP_Kernel_catch_64.$$arity = 1);\n    \n    Opal.def(self, '$throw', TMP_Kernel_throw_65 = function($a_rest) {\n      var self = this, args;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      return self.$raise($$($nesting, 'UncaughtThrowError'), args)\n    }, TMP_Kernel_throw_65.$$arity = -1);\n    \n    Opal.def(self, '$open', TMP_Kernel_open_66 = function $$open($a_rest) {\n      var self = this, args, $iter = TMP_Kernel_open_66.$$p, block = $iter || nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Kernel_open_66.$$p = null;\n      return $send($$($nesting, 'File'), 'open', Opal.to_a(args), block.$to_proc())\n    }, TMP_Kernel_open_66.$$arity = -1);\n    \n    Opal.def(self, '$yield_self', TMP_Kernel_yield_self_67 = function $$yield_self() {\n      var TMP_68, self = this, $iter = TMP_Kernel_yield_self_67.$$p, $yield = $iter || nil;\n\n      if ($iter) TMP_Kernel_yield_self_67.$$p = null;\n      \n      if (($yield !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"yield_self\"], (TMP_68 = function(){var self = TMP_68.$$s || this;\n\n        return 1}, TMP_68.$$s = self, TMP_68.$$arity = 0, TMP_68))\n      };\n      return Opal.yield1($yield, self);;\n    }, TMP_Kernel_yield_self_67.$$arity = 0);\n  })($nesting[0], $nesting);\n  return (function($base, $super, $parent_nesting) {\n    function $Object(){};\n    var self = $Object = $klass($base, $super, 'Object', $Object);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return self.$include($$($nesting, 'Kernel'))\n  })($nesting[0], null, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/error\"] = function(Opal) {\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $send = Opal.send, $truthy = Opal.truthy, $module = Opal.module, $hash2 = Opal.hash2;\n\n  Opal.add_stubs(['$new', '$clone', '$to_s', '$empty?', '$class', '$+', '$attr_reader', '$[]', '$>', '$length', '$inspect', '$raise']);\n  \n  (function($base, $super, $parent_nesting) {\n    function $Exception(){};\n    var self = $Exception = $klass($base, $super, 'Exception', $Exception);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Exception_new_1, TMP_Exception_exception_2, TMP_Exception_initialize_3, TMP_Exception_backtrace_4, TMP_Exception_exception_5, TMP_Exception_message_6, TMP_Exception_inspect_7, TMP_Exception_to_s_8;\n\n    def.message = nil;\n    \n    var stack_trace_limit;\n    Opal.defs(self, '$new', TMP_Exception_new_1 = function($a_rest) {\n      var self = this, args;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      var message   = (args.length > 0) ? args[0] : nil;\n      var error     = new self.$$alloc(message);\n      error.name    = self.$$name;\n      error.message = message;\n      Opal.send(error, error.$initialize, args);\n\n      // Error.captureStackTrace() will use .name and .toString to build the\n      // first line of the stack trace so it must be called after the error\n      // has been initialized.\n      // https://nodejs.org/dist/latest-v6.x/docs/api/errors.html\n      if (Opal.config.enable_stack_trace && Error.captureStackTrace) {\n        // Passing Kernel.raise will cut the stack trace from that point above\n        Error.captureStackTrace(error, stack_trace_limit);\n      }\n\n      return error;\n    \n    }, TMP_Exception_new_1.$$arity = -1);\n    stack_trace_limit = self.$new;\n    Opal.defs(self, '$exception', TMP_Exception_exception_2 = function $$exception($a_rest) {\n      var self = this, args;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      return $send(self, 'new', Opal.to_a(args))\n    }, TMP_Exception_exception_2.$$arity = -1);\n    \n    Opal.def(self, '$initialize', TMP_Exception_initialize_3 = function $$initialize($a_rest) {\n      var self = this, args;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      return self.message = (args.length > 0) ? args[0] : nil;\n    }, TMP_Exception_initialize_3.$$arity = -1);\n    \n    Opal.def(self, '$backtrace', TMP_Exception_backtrace_4 = function $$backtrace() {\n      var self = this;\n\n      \n      var backtrace = self.stack;\n\n      if (typeof(backtrace) === 'string') {\n        return backtrace.split(\"\\n\").slice(0, 15);\n      }\n      else if (backtrace) {\n        return backtrace.slice(0, 15);\n      }\n\n      return [];\n    \n    }, TMP_Exception_backtrace_4.$$arity = 0);\n    \n    Opal.def(self, '$exception', TMP_Exception_exception_5 = function $$exception(str) {\n      var self = this;\n\n      if (str == null) {\n        str = nil;\n      }\n      \n      if (str === nil || self === str) {\n        return self;\n      }\n\n      var cloned = self.$clone();\n      cloned.message = str;\n      return cloned;\n    \n    }, TMP_Exception_exception_5.$$arity = -1);\n    \n    Opal.def(self, '$message', TMP_Exception_message_6 = function $$message() {\n      var self = this;\n\n      return self.$to_s()\n    }, TMP_Exception_message_6.$$arity = 0);\n    \n    Opal.def(self, '$inspect', TMP_Exception_inspect_7 = function $$inspect() {\n      var self = this, as_str = nil;\n\n      \n      as_str = self.$to_s();\n      if ($truthy(as_str['$empty?']())) {\n        return self.$class().$to_s()\n      } else {\n        return \"\" + \"#<\" + (self.$class().$to_s()) + \": \" + (self.$to_s()) + \">\"\n      };\n    }, TMP_Exception_inspect_7.$$arity = 0);\n    return (Opal.def(self, '$to_s', TMP_Exception_to_s_8 = function $$to_s() {\n      var $a, $b, self = this;\n\n      return ($truthy($a = ($truthy($b = self.message) ? self.message.$to_s() : $b)) ? $a : self.$class().$to_s())\n    }, TMP_Exception_to_s_8.$$arity = 0), nil) && 'to_s';\n  })($nesting[0], Error, $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $ScriptError(){};\n    var self = $ScriptError = $klass($base, $super, 'ScriptError', $ScriptError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'Exception'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $SyntaxError(){};\n    var self = $SyntaxError = $klass($base, $super, 'SyntaxError', $SyntaxError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'ScriptError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $LoadError(){};\n    var self = $LoadError = $klass($base, $super, 'LoadError', $LoadError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'ScriptError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $NotImplementedError(){};\n    var self = $NotImplementedError = $klass($base, $super, 'NotImplementedError', $NotImplementedError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'ScriptError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $SystemExit(){};\n    var self = $SystemExit = $klass($base, $super, 'SystemExit', $SystemExit);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'Exception'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $NoMemoryError(){};\n    var self = $NoMemoryError = $klass($base, $super, 'NoMemoryError', $NoMemoryError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'Exception'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $SignalException(){};\n    var self = $SignalException = $klass($base, $super, 'SignalException', $SignalException);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'Exception'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $Interrupt(){};\n    var self = $Interrupt = $klass($base, $super, 'Interrupt', $Interrupt);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'Exception'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $SecurityError(){};\n    var self = $SecurityError = $klass($base, $super, 'SecurityError', $SecurityError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'Exception'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $StandardError(){};\n    var self = $StandardError = $klass($base, $super, 'StandardError', $StandardError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'Exception'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $EncodingError(){};\n    var self = $EncodingError = $klass($base, $super, 'EncodingError', $EncodingError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'StandardError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $ZeroDivisionError(){};\n    var self = $ZeroDivisionError = $klass($base, $super, 'ZeroDivisionError', $ZeroDivisionError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'StandardError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $NameError(){};\n    var self = $NameError = $klass($base, $super, 'NameError', $NameError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'StandardError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $NoMethodError(){};\n    var self = $NoMethodError = $klass($base, $super, 'NoMethodError', $NoMethodError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'NameError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $RuntimeError(){};\n    var self = $RuntimeError = $klass($base, $super, 'RuntimeError', $RuntimeError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'StandardError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $FrozenError(){};\n    var self = $FrozenError = $klass($base, $super, 'FrozenError', $FrozenError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'RuntimeError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $LocalJumpError(){};\n    var self = $LocalJumpError = $klass($base, $super, 'LocalJumpError', $LocalJumpError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'StandardError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $TypeError(){};\n    var self = $TypeError = $klass($base, $super, 'TypeError', $TypeError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'StandardError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $ArgumentError(){};\n    var self = $ArgumentError = $klass($base, $super, 'ArgumentError', $ArgumentError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'StandardError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $IndexError(){};\n    var self = $IndexError = $klass($base, $super, 'IndexError', $IndexError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'StandardError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $StopIteration(){};\n    var self = $StopIteration = $klass($base, $super, 'StopIteration', $StopIteration);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'IndexError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $KeyError(){};\n    var self = $KeyError = $klass($base, $super, 'KeyError', $KeyError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'IndexError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $RangeError(){};\n    var self = $RangeError = $klass($base, $super, 'RangeError', $RangeError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'StandardError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $FloatDomainError(){};\n    var self = $FloatDomainError = $klass($base, $super, 'FloatDomainError', $FloatDomainError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'RangeError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $IOError(){};\n    var self = $IOError = $klass($base, $super, 'IOError', $IOError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'StandardError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $SystemCallError(){};\n    var self = $SystemCallError = $klass($base, $super, 'SystemCallError', $SystemCallError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'StandardError'), $nesting);\n  (function($base, $parent_nesting) {\n    var $Errno, self = $Errno = $module($base, 'Errno');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $EINVAL(){};\n      var self = $EINVAL = $klass($base, $super, 'EINVAL', $EINVAL);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_EINVAL_new_9;\n\n      return (Opal.defs(self, '$new', TMP_EINVAL_new_9 = function(name) {\n        var self = this, $iter = TMP_EINVAL_new_9.$$p, $yield = $iter || nil, message = nil;\n\n        if (name == null) {\n          name = nil;\n        }\n        if ($iter) TMP_EINVAL_new_9.$$p = null;\n        \n        message = \"Invalid argument\";\n        if ($truthy(name)) {\n          message = $rb_plus(message, \"\" + \" - \" + (name))};\n        return $send(self, Opal.find_super_dispatcher(self, 'new', TMP_EINVAL_new_9, false, $EINVAL), [message], null);\n      }, TMP_EINVAL_new_9.$$arity = -1), nil) && 'new'\n    })($nesting[0], $$($nesting, 'SystemCallError'), $nesting)\n  })($nesting[0], $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $UncaughtThrowError(){};\n    var self = $UncaughtThrowError = $klass($base, $super, 'UncaughtThrowError', $UncaughtThrowError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_UncaughtThrowError_initialize_10;\n\n    def.sym = nil;\n    \n    self.$attr_reader(\"sym\", \"arg\");\n    return (Opal.def(self, '$initialize', TMP_UncaughtThrowError_initialize_10 = function $$initialize(args) {\n      var self = this, $iter = TMP_UncaughtThrowError_initialize_10.$$p, $yield = $iter || nil;\n\n      if ($iter) TMP_UncaughtThrowError_initialize_10.$$p = null;\n      \n      self.sym = args['$[]'](0);\n      if ($truthy($rb_gt(args.$length(), 1))) {\n        self.arg = args['$[]'](1)};\n      return $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_UncaughtThrowError_initialize_10, false), [\"\" + \"uncaught throw \" + (self.sym.$inspect())], null);\n    }, TMP_UncaughtThrowError_initialize_10.$$arity = 1), nil) && 'initialize';\n  })($nesting[0], $$($nesting, 'ArgumentError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $NameError(){};\n    var self = $NameError = $klass($base, $super, 'NameError', $NameError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_NameError_initialize_11;\n\n    \n    self.$attr_reader(\"name\");\n    return (Opal.def(self, '$initialize', TMP_NameError_initialize_11 = function $$initialize(message, name) {\n      var self = this, $iter = TMP_NameError_initialize_11.$$p, $yield = $iter || nil;\n\n      if (name == null) {\n        name = nil;\n      }\n      if ($iter) TMP_NameError_initialize_11.$$p = null;\n      \n      $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_NameError_initialize_11, false), [message], null);\n      return (self.name = name);\n    }, TMP_NameError_initialize_11.$$arity = -2), nil) && 'initialize';\n  })($nesting[0], null, $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $NoMethodError(){};\n    var self = $NoMethodError = $klass($base, $super, 'NoMethodError', $NoMethodError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_NoMethodError_initialize_12;\n\n    \n    self.$attr_reader(\"args\");\n    return (Opal.def(self, '$initialize', TMP_NoMethodError_initialize_12 = function $$initialize(message, name, args) {\n      var self = this, $iter = TMP_NoMethodError_initialize_12.$$p, $yield = $iter || nil;\n\n      if (name == null) {\n        name = nil;\n      }\n      if (args == null) {\n        args = [];\n      }\n      if ($iter) TMP_NoMethodError_initialize_12.$$p = null;\n      \n      $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_NoMethodError_initialize_12, false), [message, name], null);\n      return (self.args = args);\n    }, TMP_NoMethodError_initialize_12.$$arity = -2), nil) && 'initialize';\n  })($nesting[0], null, $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $StopIteration(){};\n    var self = $StopIteration = $klass($base, $super, 'StopIteration', $StopIteration);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return self.$attr_reader(\"result\")\n  })($nesting[0], null, $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $KeyError(){};\n    var self = $KeyError = $klass($base, $super, 'KeyError', $KeyError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_KeyError_initialize_13, TMP_KeyError_receiver_14, TMP_KeyError_key_15;\n\n    def.receiver = def.key = nil;\n    \n    \n    Opal.def(self, '$initialize', TMP_KeyError_initialize_13 = function $$initialize(message, $kwargs) {\n      var self = this, receiver, key, $iter = TMP_KeyError_initialize_13.$$p, $yield = $iter || nil;\n\n      if ($kwargs == null || !$kwargs.$$is_hash) {\n        if ($kwargs == null) {\n          $kwargs = $hash2([], {});\n        } else {\n          throw Opal.ArgumentError.$new('expected kwargs');\n        }\n      }\n      receiver = $kwargs.$$smap[\"receiver\"];\n      if (receiver == null) {\n        receiver = nil\n      }\n      key = $kwargs.$$smap[\"key\"];\n      if (key == null) {\n        key = nil\n      }\n      if ($iter) TMP_KeyError_initialize_13.$$p = null;\n      \n      $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_KeyError_initialize_13, false), [message], null);\n      self.receiver = receiver;\n      return (self.key = key);\n    }, TMP_KeyError_initialize_13.$$arity = -2);\n    \n    Opal.def(self, '$receiver', TMP_KeyError_receiver_14 = function $$receiver() {\n      var $a, self = this;\n\n      return ($truthy($a = self.receiver) ? $a : self.$raise($$($nesting, 'ArgumentError'), \"no receiver is available\"))\n    }, TMP_KeyError_receiver_14.$$arity = 0);\n    return (Opal.def(self, '$key', TMP_KeyError_key_15 = function $$key() {\n      var $a, self = this;\n\n      return ($truthy($a = self.key) ? $a : self.$raise($$($nesting, 'ArgumentError'), \"no key is available\"))\n    }, TMP_KeyError_key_15.$$arity = 0), nil) && 'key';\n  })($nesting[0], null, $nesting);\n  return (function($base, $parent_nesting) {\n    var $JS, self = $JS = $module($base, 'JS');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $Error(){};\n      var self = $Error = $klass($base, $super, 'Error', $Error);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n      return nil\n    })($nesting[0], null, $nesting)\n  })($nesting[0], $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/constants\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice;\n\n  \n  Opal.const_set($nesting[0], 'RUBY_PLATFORM', \"opal\");\n  Opal.const_set($nesting[0], 'RUBY_ENGINE', \"opal\");\n  Opal.const_set($nesting[0], 'RUBY_VERSION', \"2.5.0\");\n  Opal.const_set($nesting[0], 'RUBY_ENGINE_VERSION', \"0.11.1.dev\");\n  Opal.const_set($nesting[0], 'RUBY_RELEASE_DATE', \"2018-03-06\");\n  Opal.const_set($nesting[0], 'RUBY_PATCHLEVEL', 0);\n  Opal.const_set($nesting[0], 'RUBY_REVISION', 0);\n  Opal.const_set($nesting[0], 'RUBY_COPYRIGHT', \"opal - Copyright (C) 2013-2015 Adam Beynon\");\n  return Opal.const_set($nesting[0], 'RUBY_DESCRIPTION', \"\" + \"opal \" + ($$($nesting, 'RUBY_ENGINE_VERSION')) + \" (\" + ($$($nesting, 'RUBY_RELEASE_DATE')) + \" revision \" + ($$($nesting, 'RUBY_REVISION')) + \")\");\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"opal/base\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice;\n\n  Opal.add_stubs(['$require']);\n  \n  self.$require(\"corelib/runtime\");\n  self.$require(\"corelib/helpers\");\n  self.$require(\"corelib/module\");\n  self.$require(\"corelib/class\");\n  self.$require(\"corelib/basic_object\");\n  self.$require(\"corelib/kernel\");\n  self.$require(\"corelib/error\");\n  return self.$require(\"corelib/constants\");\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/nil\"] = function(Opal) {\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $hash2 = Opal.hash2, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$raise', '$name', '$new', '$>', '$length', '$Rational']);\n  \n  (function($base, $super, $parent_nesting) {\n    function $NilClass(){};\n    var self = $NilClass = $klass($base, $super, 'NilClass', $NilClass);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_NilClass_$B_2, TMP_NilClass_$_3, TMP_NilClass_$_4, TMP_NilClass_$_5, TMP_NilClass_$eq$eq_6, TMP_NilClass_dup_7, TMP_NilClass_clone_8, TMP_NilClass_inspect_9, TMP_NilClass_nil$q_10, TMP_NilClass_singleton_class_11, TMP_NilClass_to_a_12, TMP_NilClass_to_h_13, TMP_NilClass_to_i_14, TMP_NilClass_to_s_15, TMP_NilClass_to_c_16, TMP_NilClass_rationalize_17, TMP_NilClass_to_r_18, TMP_NilClass_instance_variables_19;\n\n    \n    def.$$meta = self;\n    (function(self, $parent_nesting) {\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_allocate_1;\n\n      \n      \n      Opal.def(self, '$allocate', TMP_allocate_1 = function $$allocate() {\n        var self = this;\n\n        return self.$raise($$($nesting, 'TypeError'), \"\" + \"allocator undefined for \" + (self.$name()))\n      }, TMP_allocate_1.$$arity = 0);\n      \n      \n      Opal.udef(self, '$' + \"new\");;\n      return nil;;\n    })(Opal.get_singleton_class(self), $nesting);\n    \n    Opal.def(self, '$!', TMP_NilClass_$B_2 = function() {\n      var self = this;\n\n      return true\n    }, TMP_NilClass_$B_2.$$arity = 0);\n    \n    Opal.def(self, '$&', TMP_NilClass_$_3 = function(other) {\n      var self = this;\n\n      return false\n    }, TMP_NilClass_$_3.$$arity = 1);\n    \n    Opal.def(self, '$|', TMP_NilClass_$_4 = function(other) {\n      var self = this;\n\n      return other !== false && other !== nil;\n    }, TMP_NilClass_$_4.$$arity = 1);\n    \n    Opal.def(self, '$^', TMP_NilClass_$_5 = function(other) {\n      var self = this;\n\n      return other !== false && other !== nil;\n    }, TMP_NilClass_$_5.$$arity = 1);\n    \n    Opal.def(self, '$==', TMP_NilClass_$eq$eq_6 = function(other) {\n      var self = this;\n\n      return other === nil;\n    }, TMP_NilClass_$eq$eq_6.$$arity = 1);\n    \n    Opal.def(self, '$dup', TMP_NilClass_dup_7 = function $$dup() {\n      var self = this;\n\n      return nil\n    }, TMP_NilClass_dup_7.$$arity = 0);\n    \n    Opal.def(self, '$clone', TMP_NilClass_clone_8 = function $$clone($kwargs) {\n      var self = this, freeze;\n\n      if ($kwargs == null || !$kwargs.$$is_hash) {\n        if ($kwargs == null) {\n          $kwargs = $hash2([], {});\n        } else {\n          throw Opal.ArgumentError.$new('expected kwargs');\n        }\n      }\n      freeze = $kwargs.$$smap[\"freeze\"];\n      if (freeze == null) {\n        freeze = true\n      }\n      return nil\n    }, TMP_NilClass_clone_8.$$arity = -1);\n    \n    Opal.def(self, '$inspect', TMP_NilClass_inspect_9 = function $$inspect() {\n      var self = this;\n\n      return \"nil\"\n    }, TMP_NilClass_inspect_9.$$arity = 0);\n    \n    Opal.def(self, '$nil?', TMP_NilClass_nil$q_10 = function() {\n      var self = this;\n\n      return true\n    }, TMP_NilClass_nil$q_10.$$arity = 0);\n    \n    Opal.def(self, '$singleton_class', TMP_NilClass_singleton_class_11 = function $$singleton_class() {\n      var self = this;\n\n      return $$($nesting, 'NilClass')\n    }, TMP_NilClass_singleton_class_11.$$arity = 0);\n    \n    Opal.def(self, '$to_a', TMP_NilClass_to_a_12 = function $$to_a() {\n      var self = this;\n\n      return []\n    }, TMP_NilClass_to_a_12.$$arity = 0);\n    \n    Opal.def(self, '$to_h', TMP_NilClass_to_h_13 = function $$to_h() {\n      var self = this;\n\n      return Opal.hash();\n    }, TMP_NilClass_to_h_13.$$arity = 0);\n    \n    Opal.def(self, '$to_i', TMP_NilClass_to_i_14 = function $$to_i() {\n      var self = this;\n\n      return 0\n    }, TMP_NilClass_to_i_14.$$arity = 0);\n    Opal.alias(self, \"to_f\", \"to_i\");\n    \n    Opal.def(self, '$to_s', TMP_NilClass_to_s_15 = function $$to_s() {\n      var self = this;\n\n      return \"\"\n    }, TMP_NilClass_to_s_15.$$arity = 0);\n    \n    Opal.def(self, '$to_c', TMP_NilClass_to_c_16 = function $$to_c() {\n      var self = this;\n\n      return $$($nesting, 'Complex').$new(0, 0)\n    }, TMP_NilClass_to_c_16.$$arity = 0);\n    \n    Opal.def(self, '$rationalize', TMP_NilClass_rationalize_17 = function $$rationalize($a_rest) {\n      var self = this, args;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      if ($truthy($rb_gt(args.$length(), 1))) {\n        self.$raise($$($nesting, 'ArgumentError'))};\n      return self.$Rational(0, 1);\n    }, TMP_NilClass_rationalize_17.$$arity = -1);\n    \n    Opal.def(self, '$to_r', TMP_NilClass_to_r_18 = function $$to_r() {\n      var self = this;\n\n      return self.$Rational(0, 1)\n    }, TMP_NilClass_to_r_18.$$arity = 0);\n    return (Opal.def(self, '$instance_variables', TMP_NilClass_instance_variables_19 = function $$instance_variables() {\n      var self = this;\n\n      return []\n    }, TMP_NilClass_instance_variables_19.$$arity = 0), nil) && 'instance_variables';\n  })($nesting[0], null, $nesting);\n  return Opal.const_set($nesting[0], 'NIL', nil);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/boolean\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $hash2 = Opal.hash2;\n\n  Opal.add_stubs(['$raise', '$name']);\n  \n  (function($base, $super, $parent_nesting) {\n    function $Boolean(){};\n    var self = $Boolean = $klass($base, $super, 'Boolean', $Boolean);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Boolean___id___2, TMP_Boolean_$B_3, TMP_Boolean_$_4, TMP_Boolean_$_5, TMP_Boolean_$_6, TMP_Boolean_$eq$eq_7, TMP_Boolean_singleton_class_8, TMP_Boolean_to_s_9, TMP_Boolean_dup_10, TMP_Boolean_clone_11;\n\n    \n    def.$$is_boolean = true;\n    def.$$meta = self;\n    (function(self, $parent_nesting) {\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_allocate_1;\n\n      \n      \n      Opal.def(self, '$allocate', TMP_allocate_1 = function $$allocate() {\n        var self = this;\n\n        return self.$raise($$($nesting, 'TypeError'), \"\" + \"allocator undefined for \" + (self.$name()))\n      }, TMP_allocate_1.$$arity = 0);\n      \n      \n      Opal.udef(self, '$' + \"new\");;\n      return nil;;\n    })(Opal.get_singleton_class(self), $nesting);\n    \n    Opal.def(self, '$__id__', TMP_Boolean___id___2 = function $$__id__() {\n      var self = this;\n\n      return self.valueOf() ? 2 : 0;\n    }, TMP_Boolean___id___2.$$arity = 0);\n    Opal.alias(self, \"object_id\", \"__id__\");\n    \n    Opal.def(self, '$!', TMP_Boolean_$B_3 = function() {\n      var self = this;\n\n      return self != true;\n    }, TMP_Boolean_$B_3.$$arity = 0);\n    \n    Opal.def(self, '$&', TMP_Boolean_$_4 = function(other) {\n      var self = this;\n\n      return (self == true) ? (other !== false && other !== nil) : false;\n    }, TMP_Boolean_$_4.$$arity = 1);\n    \n    Opal.def(self, '$|', TMP_Boolean_$_5 = function(other) {\n      var self = this;\n\n      return (self == true) ? true : (other !== false && other !== nil);\n    }, TMP_Boolean_$_5.$$arity = 1);\n    \n    Opal.def(self, '$^', TMP_Boolean_$_6 = function(other) {\n      var self = this;\n\n      return (self == true) ? (other === false || other === nil) : (other !== false && other !== nil);\n    }, TMP_Boolean_$_6.$$arity = 1);\n    \n    Opal.def(self, '$==', TMP_Boolean_$eq$eq_7 = function(other) {\n      var self = this;\n\n      return (self == true) === other.valueOf();\n    }, TMP_Boolean_$eq$eq_7.$$arity = 1);\n    Opal.alias(self, \"equal?\", \"==\");\n    Opal.alias(self, \"eql?\", \"==\");\n    \n    Opal.def(self, '$singleton_class', TMP_Boolean_singleton_class_8 = function $$singleton_class() {\n      var self = this;\n\n      return $$($nesting, 'Boolean')\n    }, TMP_Boolean_singleton_class_8.$$arity = 0);\n    \n    Opal.def(self, '$to_s', TMP_Boolean_to_s_9 = function $$to_s() {\n      var self = this;\n\n      return (self == true) ? 'true' : 'false';\n    }, TMP_Boolean_to_s_9.$$arity = 0);\n    \n    Opal.def(self, '$dup', TMP_Boolean_dup_10 = function $$dup() {\n      var self = this;\n\n      return self\n    }, TMP_Boolean_dup_10.$$arity = 0);\n    return (Opal.def(self, '$clone', TMP_Boolean_clone_11 = function $$clone($kwargs) {\n      var self = this, freeze;\n\n      if ($kwargs == null || !$kwargs.$$is_hash) {\n        if ($kwargs == null) {\n          $kwargs = $hash2([], {});\n        } else {\n          throw Opal.ArgumentError.$new('expected kwargs');\n        }\n      }\n      freeze = $kwargs.$$smap[\"freeze\"];\n      if (freeze == null) {\n        freeze = true\n      }\n      return self\n    }, TMP_Boolean_clone_11.$$arity = -1), nil) && 'clone';\n  })($nesting[0], Boolean, $nesting);\n  Opal.const_set($nesting[0], 'TrueClass', $$($nesting, 'Boolean'));\n  Opal.const_set($nesting[0], 'FalseClass', $$($nesting, 'Boolean'));\n  Opal.const_set($nesting[0], 'TRUE', true);\n  return Opal.const_set($nesting[0], 'FALSE', false);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/comparable\"] = function(Opal) {\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$===', '$>', '$<', '$equal?', '$<=>', '$normalize', '$raise', '$class']);\n  return (function($base, $parent_nesting) {\n    var $Comparable, self = $Comparable = $module($base, 'Comparable');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Comparable_normalize_1, TMP_Comparable_$eq$eq_2, TMP_Comparable_$gt_3, TMP_Comparable_$gt$eq_4, TMP_Comparable_$lt_5, TMP_Comparable_$lt$eq_6, TMP_Comparable_between$q_7, TMP_Comparable_clamp_8;\n\n    \n    Opal.defs(self, '$normalize', TMP_Comparable_normalize_1 = function $$normalize(what) {\n      var self = this;\n\n      \n      if ($truthy($$($nesting, 'Integer')['$==='](what))) {\n        return what};\n      if ($truthy($rb_gt(what, 0))) {\n        return 1};\n      if ($truthy($rb_lt(what, 0))) {\n        return -1};\n      return 0;\n    }, TMP_Comparable_normalize_1.$$arity = 1);\n    \n    Opal.def(self, '$==', TMP_Comparable_$eq$eq_2 = function(other) {\n      var self = this, cmp = nil;\n\n      try {\n        \n        if ($truthy(self['$equal?'](other))) {\n          return true};\n        \n      if (self[\"$<=>\"] == Opal.Kernel[\"$<=>\"]) {\n        return false;\n      }\n\n      // check for infinite recursion\n      if (self.$$comparable) {\n        delete self.$$comparable;\n        return false;\n      }\n    ;\n        if ($truthy((cmp = self['$<=>'](other)))) {\n        } else {\n          return false\n        };\n        return $$($nesting, 'Comparable').$normalize(cmp) == 0;\n      } catch ($err) {\n        if (Opal.rescue($err, [$$($nesting, 'StandardError')])) {\n          try {\n            return false\n          } finally { Opal.pop_exception() }\n        } else { throw $err; }\n      }\n    }, TMP_Comparable_$eq$eq_2.$$arity = 1);\n    \n    Opal.def(self, '$>', TMP_Comparable_$gt_3 = function(other) {\n      var self = this, cmp = nil;\n\n      \n      if ($truthy((cmp = self['$<=>'](other)))) {\n      } else {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"comparison of \" + (self.$class()) + \" with \" + (other.$class()) + \" failed\")\n      };\n      return $$($nesting, 'Comparable').$normalize(cmp) > 0;\n    }, TMP_Comparable_$gt_3.$$arity = 1);\n    \n    Opal.def(self, '$>=', TMP_Comparable_$gt$eq_4 = function(other) {\n      var self = this, cmp = nil;\n\n      \n      if ($truthy((cmp = self['$<=>'](other)))) {\n      } else {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"comparison of \" + (self.$class()) + \" with \" + (other.$class()) + \" failed\")\n      };\n      return $$($nesting, 'Comparable').$normalize(cmp) >= 0;\n    }, TMP_Comparable_$gt$eq_4.$$arity = 1);\n    \n    Opal.def(self, '$<', TMP_Comparable_$lt_5 = function(other) {\n      var self = this, cmp = nil;\n\n      \n      if ($truthy((cmp = self['$<=>'](other)))) {\n      } else {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"comparison of \" + (self.$class()) + \" with \" + (other.$class()) + \" failed\")\n      };\n      return $$($nesting, 'Comparable').$normalize(cmp) < 0;\n    }, TMP_Comparable_$lt_5.$$arity = 1);\n    \n    Opal.def(self, '$<=', TMP_Comparable_$lt$eq_6 = function(other) {\n      var self = this, cmp = nil;\n\n      \n      if ($truthy((cmp = self['$<=>'](other)))) {\n      } else {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"comparison of \" + (self.$class()) + \" with \" + (other.$class()) + \" failed\")\n      };\n      return $$($nesting, 'Comparable').$normalize(cmp) <= 0;\n    }, TMP_Comparable_$lt$eq_6.$$arity = 1);\n    \n    Opal.def(self, '$between?', TMP_Comparable_between$q_7 = function(min, max) {\n      var self = this;\n\n      \n      if ($rb_lt(self, min)) {\n        return false};\n      if ($rb_gt(self, max)) {\n        return false};\n      return true;\n    }, TMP_Comparable_between$q_7.$$arity = 2);\n    \n    Opal.def(self, '$clamp', TMP_Comparable_clamp_8 = function $$clamp(min, max) {\n      var self = this, cmp = nil;\n\n      \n      cmp = min['$<=>'](max);\n      if ($truthy(cmp)) {\n      } else {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"comparison of \" + (min.$class()) + \" with \" + (max.$class()) + \" failed\")\n      };\n      if ($truthy($rb_gt($$($nesting, 'Comparable').$normalize(cmp), 0))) {\n        self.$raise($$($nesting, 'ArgumentError'), \"min argument must be smaller than max argument\")};\n      if ($truthy($rb_lt($$($nesting, 'Comparable').$normalize(self['$<=>'](min)), 0))) {\n        return min};\n      if ($truthy($rb_gt($$($nesting, 'Comparable').$normalize(self['$<=>'](max)), 0))) {\n        return max};\n      return self;\n    }, TMP_Comparable_clamp_8.$$arity = 2);\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/regexp\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $send = Opal.send, $truthy = Opal.truthy, $gvars = Opal.gvars;\n\n  Opal.add_stubs(['$nil?', '$[]', '$raise', '$escape', '$options', '$to_str', '$new', '$join', '$coerce_to!', '$!', '$match', '$coerce_to?', '$begin', '$coerce_to', '$=~', '$attr_reader', '$===', '$inspect', '$to_a']);\n  \n  (function($base, $super, $parent_nesting) {\n    function $RegexpError(){};\n    var self = $RegexpError = $klass($base, $super, 'RegexpError', $RegexpError);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return nil\n  })($nesting[0], $$($nesting, 'StandardError'), $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $Regexp(){};\n    var self = $Regexp = $klass($base, $super, 'Regexp', $Regexp);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Regexp_$eq$eq_6, TMP_Regexp_$eq$eq$eq_7, TMP_Regexp_$eq$_8, TMP_Regexp_inspect_9, TMP_Regexp_match_10, TMP_Regexp_match$q_11, TMP_Regexp_$_12, TMP_Regexp_source_13, TMP_Regexp_options_14, TMP_Regexp_casefold$q_15;\n\n    \n    Opal.const_set($nesting[0], 'IGNORECASE', 1);\n    Opal.const_set($nesting[0], 'EXTENDED', 2);\n    Opal.const_set($nesting[0], 'MULTILINE', 4);\n    def.$$is_regexp = true;\n    (function(self, $parent_nesting) {\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_allocate_1, TMP_escape_2, TMP_last_match_3, TMP_union_4, TMP_new_5;\n\n      \n      \n      Opal.def(self, '$allocate', TMP_allocate_1 = function $$allocate() {\n        var self = this, $iter = TMP_allocate_1.$$p, $yield = $iter || nil, allocated = nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n        if ($iter) TMP_allocate_1.$$p = null;\n        // Prepare super implicit arguments\n        for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n          $zuper[$zuper_i] = arguments[$zuper_i];\n        }\n        \n        allocated = $send(self, Opal.find_super_dispatcher(self, 'allocate', TMP_allocate_1, false), $zuper, $iter);\n        allocated.uninitialized = true;\n        return allocated;\n      }, TMP_allocate_1.$$arity = 0);\n      \n      Opal.def(self, '$escape', TMP_escape_2 = function $$escape(string) {\n        var self = this;\n\n        return Opal.escape_regexp(string);\n      }, TMP_escape_2.$$arity = 1);\n      \n      Opal.def(self, '$last_match', TMP_last_match_3 = function $$last_match(n) {\n        var self = this;\n        if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n        if (n == null) {\n          n = nil;\n        }\n        if ($truthy(n['$nil?']())) {\n          return $gvars[\"~\"]\n        } else {\n          return $gvars[\"~\"]['$[]'](n)\n        }\n      }, TMP_last_match_3.$$arity = -1);\n      Opal.alias(self, \"quote\", \"escape\");\n      \n      Opal.def(self, '$union', TMP_union_4 = function $$union($a_rest) {\n        var self = this, parts;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        parts = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          parts[$arg_idx - 0] = arguments[$arg_idx];\n        }\n        \n        \n        var is_first_part_array, quoted_validated, part, options, each_part_options;\n        if (parts.length == 0) {\n          return /(?!)/;\n        }\n        // return fast if there's only one element\n        if (parts.length == 1 && parts[0].$$is_regexp) {\n          return parts[0];\n        }\n        // cover the 2 arrays passed as arguments case\n        is_first_part_array = parts[0].$$is_array;\n        if (parts.length > 1 && is_first_part_array) {\n          self.$raise($$($nesting, 'TypeError'), \"no implicit conversion of Array into String\")\n        }\n        // deal with splat issues (related to https://github.com/opal/opal/issues/858)\n        if (is_first_part_array) {\n          parts = parts[0];\n        }\n        options = undefined;\n        quoted_validated = [];\n        for (var i=0; i < parts.length; i++) {\n          part = parts[i];\n          if (part.$$is_string) {\n            quoted_validated.push(self.$escape(part));\n          }\n          else if (part.$$is_regexp) {\n            each_part_options = (part).$options();\n            if (options != undefined && options != each_part_options) {\n              self.$raise($$($nesting, 'TypeError'), \"All expressions must use the same options\")\n            }\n            options = each_part_options;\n            quoted_validated.push('('+part.source+')');\n          }\n          else {\n            quoted_validated.push(self.$escape((part).$to_str()));\n          }\n        }\n      ;\n        return self.$new((quoted_validated).$join(\"|\"), options);\n      }, TMP_union_4.$$arity = -1);\n      return (Opal.def(self, '$new', TMP_new_5 = function(regexp, options) {\n        var self = this;\n\n        \n        if (regexp.$$is_regexp) {\n          return new RegExp(regexp);\n        }\n\n        regexp = $$($nesting, 'Opal')['$coerce_to!'](regexp, $$($nesting, 'String'), \"to_str\");\n\n        if (regexp.charAt(regexp.length - 1) === '\\\\' && regexp.charAt(regexp.length - 2) !== '\\\\') {\n          self.$raise($$($nesting, 'RegexpError'), \"\" + \"too short escape sequence: /\" + (regexp) + \"/\")\n        }\n\n        if (options === undefined || options['$!']()) {\n          return new RegExp(regexp);\n        }\n\n        if (options.$$is_number) {\n          var temp = '';\n          if ($$($nesting, 'IGNORECASE') & options) { temp += 'i'; }\n          if ($$($nesting, 'MULTILINE')  & options) { temp += 'm'; }\n          options = temp;\n        }\n        else {\n          options = 'i';\n        }\n\n        return new RegExp(regexp, options);\n      \n      }, TMP_new_5.$$arity = -2), nil) && 'new';\n    })(Opal.get_singleton_class(self), $nesting);\n    \n    Opal.def(self, '$==', TMP_Regexp_$eq$eq_6 = function(other) {\n      var self = this;\n\n      return other.constructor == RegExp && self.toString() === other.toString();\n    }, TMP_Regexp_$eq$eq_6.$$arity = 1);\n    \n    Opal.def(self, '$===', TMP_Regexp_$eq$eq$eq_7 = function(string) {\n      var self = this;\n\n      return self.$match($$($nesting, 'Opal')['$coerce_to?'](string, $$($nesting, 'String'), \"to_str\")) !== nil\n    }, TMP_Regexp_$eq$eq$eq_7.$$arity = 1);\n    \n    Opal.def(self, '$=~', TMP_Regexp_$eq$_8 = function(string) {\n      var $a, self = this;\n      if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n      return ($truthy($a = self.$match(string)) ? $gvars[\"~\"].$begin(0) : $a)\n    }, TMP_Regexp_$eq$_8.$$arity = 1);\n    Opal.alias(self, \"eql?\", \"==\");\n    \n    Opal.def(self, '$inspect', TMP_Regexp_inspect_9 = function $$inspect() {\n      var self = this;\n\n      \n      var regexp_format = /^\\/(.*)\\/([^\\/]*)$/;\n      var value = self.toString();\n      var matches = regexp_format.exec(value);\n      if (matches) {\n        var regexp_pattern = matches[1];\n        var regexp_flags = matches[2];\n        var chars = regexp_pattern.split('');\n        var chars_length = chars.length;\n        var char_escaped = false;\n        var regexp_pattern_escaped = '';\n        for (var i = 0; i < chars_length; i++) {\n          var current_char = chars[i];\n          if (!char_escaped && current_char == '/') {\n            regexp_pattern_escaped = regexp_pattern_escaped.concat('\\\\');\n          }\n          regexp_pattern_escaped = regexp_pattern_escaped.concat(current_char);\n          if (current_char == '\\\\') {\n            if (char_escaped) {\n              // does not over escape\n              char_escaped = false;\n            } else {\n              char_escaped = true;\n            }\n          } else {\n            char_escaped = false;\n          }\n        }\n        return '/' + regexp_pattern_escaped + '/' + regexp_flags;\n      } else {\n        return value;\n      }\n    \n    }, TMP_Regexp_inspect_9.$$arity = 0);\n    \n    Opal.def(self, '$match', TMP_Regexp_match_10 = function $$match(string, pos) {\n      var self = this, $iter = TMP_Regexp_match_10.$$p, block = $iter || nil;\n      if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n      if ($iter) TMP_Regexp_match_10.$$p = null;\n      \n      if (self.uninitialized) {\n        self.$raise($$($nesting, 'TypeError'), \"uninitialized Regexp\")\n      }\n\n      if (pos === undefined) {\n        if (string === nil) return ($gvars[\"~\"] = nil);\n        var m = self.exec($$($nesting, 'Opal').$coerce_to(string, $$($nesting, 'String'), \"to_str\"));\n        if (m) {\n          ($gvars[\"~\"] = $$($nesting, 'MatchData').$new(self, m));\n          return block === nil ? $gvars[\"~\"] : Opal.yield1(block, $gvars[\"~\"]);\n        } else {\n          return ($gvars[\"~\"] = nil);\n        }\n      }\n\n      pos = $$($nesting, 'Opal').$coerce_to(pos, $$($nesting, 'Integer'), \"to_int\");\n\n      if (string === nil) {\n        return ($gvars[\"~\"] = nil);\n      }\n\n      string = $$($nesting, 'Opal').$coerce_to(string, $$($nesting, 'String'), \"to_str\");\n\n      if (pos < 0) {\n        pos += string.length;\n        if (pos < 0) {\n          return ($gvars[\"~\"] = nil);\n        }\n      }\n\n      var source = self.source;\n      var flags = self.multiline ? 'gm' : 'g';\n\n      // global RegExp maintains state, so not using self/this\n      var md, re = new RegExp(source, flags + (self.ignoreCase ? 'i' : ''));\n\n      while (true) {\n        md = re.exec(string);\n        if (md === null) {\n          return ($gvars[\"~\"] = nil);\n        }\n        if (md.index >= pos) {\n          ($gvars[\"~\"] = $$($nesting, 'MatchData').$new(re, md));\n          return block === nil ? $gvars[\"~\"] : Opal.yield1(block, $gvars[\"~\"]);\n        }\n        re.lastIndex = md.index + 1;\n      }\n    \n    }, TMP_Regexp_match_10.$$arity = -2);\n    \n    Opal.def(self, '$match?', TMP_Regexp_match$q_11 = function(string, pos) {\n      var self = this;\n\n      \n      if (self.uninitialized) {\n        self.$raise($$($nesting, 'TypeError'), \"uninitialized Regexp\")\n      }\n\n      if (pos === undefined) {\n        return string === nil ? false : self.test($$($nesting, 'Opal').$coerce_to(string, $$($nesting, 'String'), \"to_str\"));\n      }\n\n      pos = $$($nesting, 'Opal').$coerce_to(pos, $$($nesting, 'Integer'), \"to_int\");\n\n      if (string === nil) {\n        return false;\n      }\n\n      string = $$($nesting, 'Opal').$coerce_to(string, $$($nesting, 'String'), \"to_str\");\n\n      if (pos < 0) {\n        pos += string.length;\n        if (pos < 0) {\n          return false;\n        }\n      }\n\n      var source = self.source;\n      var flags = self.multiline ? 'gm' : 'g';\n\n      // global RegExp maintains state, so not using self/this\n      var md, re = new RegExp(source, flags + (self.ignoreCase ? 'i' : ''));\n\n      md = re.exec(string);\n      if (md === null || md.index < pos) {\n        return false;\n      } else {\n        return true;\n      }\n    \n    }, TMP_Regexp_match$q_11.$$arity = -2);\n    \n    Opal.def(self, '$~', TMP_Regexp_$_12 = function() {\n      var self = this;\n      if ($gvars._ == null) $gvars._ = nil;\n\n      return self['$=~']($gvars._)\n    }, TMP_Regexp_$_12.$$arity = 0);\n    \n    Opal.def(self, '$source', TMP_Regexp_source_13 = function $$source() {\n      var self = this;\n\n      return self.source;\n    }, TMP_Regexp_source_13.$$arity = 0);\n    \n    Opal.def(self, '$options', TMP_Regexp_options_14 = function $$options() {\n      var self = this;\n\n      \n      if (self.uninitialized) {\n        self.$raise($$($nesting, 'TypeError'), \"uninitialized Regexp\")\n      }\n      var result = 0;\n      // should be supported in IE6 according to https://msdn.microsoft.com/en-us/library/7f5z26w4(v=vs.94).aspx\n      if (self.multiline) {\n        result |= $$($nesting, 'MULTILINE');\n      }\n      if (self.ignoreCase) {\n        result |= $$($nesting, 'IGNORECASE');\n      }\n      return result;\n    \n    }, TMP_Regexp_options_14.$$arity = 0);\n    \n    Opal.def(self, '$casefold?', TMP_Regexp_casefold$q_15 = function() {\n      var self = this;\n\n      return self.ignoreCase;\n    }, TMP_Regexp_casefold$q_15.$$arity = 0);\n    return Opal.alias(self, \"to_s\", \"source\");\n  })($nesting[0], RegExp, $nesting);\n  return (function($base, $super, $parent_nesting) {\n    function $MatchData(){};\n    var self = $MatchData = $klass($base, $super, 'MatchData', $MatchData);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_MatchData_initialize_16, TMP_MatchData_$$_17, TMP_MatchData_offset_18, TMP_MatchData_$eq$eq_19, TMP_MatchData_begin_20, TMP_MatchData_end_21, TMP_MatchData_captures_22, TMP_MatchData_inspect_23, TMP_MatchData_length_24, TMP_MatchData_to_a_25, TMP_MatchData_to_s_26, TMP_MatchData_values_at_27;\n\n    def.matches = nil;\n    \n    self.$attr_reader(\"post_match\", \"pre_match\", \"regexp\", \"string\");\n    \n    Opal.def(self, '$initialize', TMP_MatchData_initialize_16 = function $$initialize(regexp, match_groups) {\n      var self = this;\n\n      \n      $gvars[\"~\"] = self;\n      self.regexp = regexp;\n      self.begin = match_groups.index;\n      self.string = match_groups.input;\n      self.pre_match = match_groups.input.slice(0, match_groups.index);\n      self.post_match = match_groups.input.slice(match_groups.index + match_groups[0].length);\n      self.matches = [];\n      \n      for (var i = 0, length = match_groups.length; i < length; i++) {\n        var group = match_groups[i];\n\n        if (group == null) {\n          self.matches.push(nil);\n        }\n        else {\n          self.matches.push(group);\n        }\n      }\n    ;\n    }, TMP_MatchData_initialize_16.$$arity = 2);\n    \n    Opal.def(self, '$[]', TMP_MatchData_$$_17 = function($a_rest) {\n      var self = this, args;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      return $send(self.matches, '[]', Opal.to_a(args))\n    }, TMP_MatchData_$$_17.$$arity = -1);\n    \n    Opal.def(self, '$offset', TMP_MatchData_offset_18 = function $$offset(n) {\n      var self = this;\n\n      \n      if (n !== 0) {\n        self.$raise($$($nesting, 'ArgumentError'), \"MatchData#offset only supports 0th element\")\n      }\n      return [self.begin, self.begin + self.matches[n].length];\n    \n    }, TMP_MatchData_offset_18.$$arity = 1);\n    \n    Opal.def(self, '$==', TMP_MatchData_$eq$eq_19 = function(other) {\n      var $a, $b, $c, $d, self = this;\n\n      \n      if ($truthy($$($nesting, 'MatchData')['$==='](other))) {\n      } else {\n        return false\n      };\n      return ($truthy($a = ($truthy($b = ($truthy($c = ($truthy($d = self.string == other.string) ? self.regexp.toString() == other.regexp.toString() : $d)) ? self.pre_match == other.pre_match : $c)) ? self.post_match == other.post_match : $b)) ? self.begin == other.begin : $a);\n    }, TMP_MatchData_$eq$eq_19.$$arity = 1);\n    Opal.alias(self, \"eql?\", \"==\");\n    \n    Opal.def(self, '$begin', TMP_MatchData_begin_20 = function $$begin(n) {\n      var self = this;\n\n      \n      if (n !== 0) {\n        self.$raise($$($nesting, 'ArgumentError'), \"MatchData#begin only supports 0th element\")\n      }\n      return self.begin;\n    \n    }, TMP_MatchData_begin_20.$$arity = 1);\n    \n    Opal.def(self, '$end', TMP_MatchData_end_21 = function $$end(n) {\n      var self = this;\n\n      \n      if (n !== 0) {\n        self.$raise($$($nesting, 'ArgumentError'), \"MatchData#end only supports 0th element\")\n      }\n      return self.begin + self.matches[n].length;\n    \n    }, TMP_MatchData_end_21.$$arity = 1);\n    \n    Opal.def(self, '$captures', TMP_MatchData_captures_22 = function $$captures() {\n      var self = this;\n\n      return self.matches.slice(1)\n    }, TMP_MatchData_captures_22.$$arity = 0);\n    \n    Opal.def(self, '$inspect', TMP_MatchData_inspect_23 = function $$inspect() {\n      var self = this;\n\n      \n      var str = \"#<MatchData \" + (self.matches[0]).$inspect();\n\n      for (var i = 1, length = self.matches.length; i < length; i++) {\n        str += \" \" + i + \":\" + (self.matches[i]).$inspect();\n      }\n\n      return str + \">\";\n    \n    }, TMP_MatchData_inspect_23.$$arity = 0);\n    \n    Opal.def(self, '$length', TMP_MatchData_length_24 = function $$length() {\n      var self = this;\n\n      return self.matches.length\n    }, TMP_MatchData_length_24.$$arity = 0);\n    Opal.alias(self, \"size\", \"length\");\n    \n    Opal.def(self, '$to_a', TMP_MatchData_to_a_25 = function $$to_a() {\n      var self = this;\n\n      return self.matches\n    }, TMP_MatchData_to_a_25.$$arity = 0);\n    \n    Opal.def(self, '$to_s', TMP_MatchData_to_s_26 = function $$to_s() {\n      var self = this;\n\n      return self.matches[0]\n    }, TMP_MatchData_to_s_26.$$arity = 0);\n    return (Opal.def(self, '$values_at', TMP_MatchData_values_at_27 = function $$values_at($a_rest) {\n      var self = this, args;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      var i, a, index, values = [];\n\n      for (i = 0; i < args.length; i++) {\n\n        if (args[i].$$is_range) {\n          a = (args[i]).$to_a();\n          a.unshift(i, 1);\n          Array.prototype.splice.apply(args, a);\n        }\n\n        index = $$($nesting, 'Opal')['$coerce_to!'](args[i], $$($nesting, 'Integer'), \"to_int\");\n\n        if (index < 0) {\n          index += self.matches.length;\n          if (index < 0) {\n            values.push(nil);\n            continue;\n          }\n        }\n\n        values.push(self.matches[index]);\n      }\n\n      return values;\n    \n    }, TMP_MatchData_values_at_27.$$arity = -1), nil) && 'values_at';\n  })($nesting[0], null, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/string\"] = function(Opal) {\n  function $rb_divide(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs / rhs : lhs['$/'](rhs);\n  }\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy, $send = Opal.send, $gvars = Opal.gvars;\n\n  Opal.add_stubs(['$require', '$include', '$coerce_to?', '$coerce_to', '$raise', '$===', '$format', '$to_s', '$respond_to?', '$to_str', '$<=>', '$==', '$=~', '$new', '$force_encoding', '$casecmp', '$empty?', '$ljust', '$ceil', '$/', '$+', '$rjust', '$floor', '$to_a', '$each_char', '$to_proc', '$coerce_to!', '$copy_singleton_methods', '$initialize_clone', '$initialize_dup', '$enum_for', '$size', '$chomp', '$[]', '$to_i', '$each_line', '$class', '$match', '$captures', '$proc', '$succ', '$escape']);\n  \n  self.$require(\"corelib/comparable\");\n  self.$require(\"corelib/regexp\");\n  (function($base, $super, $parent_nesting) {\n    function $String(){};\n    var self = $String = $klass($base, $super, 'String', $String);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_String___id___1, TMP_String_try_convert_2, TMP_String_new_3, TMP_String_initialize_4, TMP_String_$_5, TMP_String_$_6, TMP_String_$_7, TMP_String_$lt$eq$gt_8, TMP_String_$eq$eq_9, TMP_String_$eq$_10, TMP_String_$$_11, TMP_String_b_12, TMP_String_capitalize_13, TMP_String_casecmp_14, TMP_String_casecmp$q_15, TMP_String_center_16, TMP_String_chars_17, TMP_String_chomp_18, TMP_String_chop_19, TMP_String_chr_20, TMP_String_clone_21, TMP_String_dup_22, TMP_String_count_23, TMP_String_delete_24, TMP_String_delete_prefix_25, TMP_String_delete_suffix_26, TMP_String_downcase_27, TMP_String_each_char_28, TMP_String_each_line_30, TMP_String_empty$q_31, TMP_String_end_with$q_32, TMP_String_gsub_33, TMP_String_hash_34, TMP_String_hex_35, TMP_String_include$q_36, TMP_String_index_37, TMP_String_inspect_38, TMP_String_intern_39, TMP_String_lines_40, TMP_String_length_41, TMP_String_ljust_42, TMP_String_lstrip_43, TMP_String_ascii_only$q_44, TMP_String_match_45, TMP_String_next_46, TMP_String_oct_47, TMP_String_ord_48, TMP_String_partition_49, TMP_String_reverse_50, TMP_String_rindex_51, TMP_String_rjust_52, TMP_String_rpartition_53, TMP_String_rstrip_54, TMP_String_scan_55, TMP_String_split_56, TMP_String_squeeze_57, TMP_String_start_with$q_58, TMP_String_strip_59, TMP_String_sub_60, TMP_String_sum_61, TMP_String_swapcase_62, TMP_String_to_f_63, TMP_String_to_i_64, TMP_String_to_proc_66, TMP_String_to_s_67, TMP_String_tr_68, TMP_String_tr_s_69, TMP_String_upcase_70, TMP_String_upto_71, TMP_String_instance_variables_72, TMP_String__load_73, TMP_String_unpack_74, TMP_String_unpack1_75;\n\n    def.length = nil;\n    \n    self.$include($$($nesting, 'Comparable'));\n    def.$$is_string = true;\n    \n    Opal.def(self, '$__id__', TMP_String___id___1 = function $$__id__() {\n      var self = this;\n\n      return self.toString();\n    }, TMP_String___id___1.$$arity = 0);\n    Opal.alias(self, \"object_id\", \"__id__\");\n    Opal.defs(self, '$try_convert', TMP_String_try_convert_2 = function $$try_convert(what) {\n      var self = this;\n\n      return $$($nesting, 'Opal')['$coerce_to?'](what, $$($nesting, 'String'), \"to_str\")\n    }, TMP_String_try_convert_2.$$arity = 1);\n    Opal.defs(self, '$new', TMP_String_new_3 = function(str) {\n      var self = this;\n\n      if (str == null) {\n        str = \"\";\n      }\n      \n      str = $$($nesting, 'Opal').$coerce_to(str, $$($nesting, 'String'), \"to_str\");\n      return new String(str);;\n    }, TMP_String_new_3.$$arity = -1);\n    \n    Opal.def(self, '$initialize', TMP_String_initialize_4 = function $$initialize(str) {\n      var self = this;\n\n      \n      \n      if (str === undefined) {\n        return self;\n      }\n    ;\n      return self.$raise($$($nesting, 'NotImplementedError'), \"Mutable strings are not supported in Opal.\");\n    }, TMP_String_initialize_4.$$arity = -1);\n    \n    Opal.def(self, '$%', TMP_String_$_5 = function(data) {\n      var self = this;\n\n      if ($truthy($$($nesting, 'Array')['$==='](data))) {\n        return $send(self, 'format', [self].concat(Opal.to_a(data)))\n      } else {\n        return self.$format(self, data)\n      }\n    }, TMP_String_$_5.$$arity = 1);\n    \n    Opal.def(self, '$*', TMP_String_$_6 = function(count) {\n      var self = this;\n\n      \n      count = $$($nesting, 'Opal').$coerce_to(count, $$($nesting, 'Integer'), \"to_int\");\n\n      if (count < 0) {\n        self.$raise($$($nesting, 'ArgumentError'), \"negative argument\")\n      }\n\n      if (count === 0) {\n        return '';\n      }\n\n      var result = '',\n          string = self.toString();\n\n      // All credit for the bit-twiddling magic code below goes to Mozilla\n      // polyfill implementation of String.prototype.repeat() posted here:\n      // https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/repeat\n\n      if (string.length * count >= 1 << 28) {\n        self.$raise($$($nesting, 'RangeError'), \"multiply count must not overflow maximum string size\")\n      }\n\n      for (;;) {\n        if ((count & 1) === 1) {\n          result += string;\n        }\n        count >>>= 1;\n        if (count === 0) {\n          break;\n        }\n        string += string;\n      }\n\n      return result;\n    \n    }, TMP_String_$_6.$$arity = 1);\n    \n    Opal.def(self, '$+', TMP_String_$_7 = function(other) {\n      var self = this;\n\n      \n      other = $$($nesting, 'Opal').$coerce_to(other, $$($nesting, 'String'), \"to_str\");\n      return self + other.$to_s();\n    }, TMP_String_$_7.$$arity = 1);\n    \n    Opal.def(self, '$<=>', TMP_String_$lt$eq$gt_8 = function(other) {\n      var self = this;\n\n      if ($truthy(other['$respond_to?'](\"to_str\"))) {\n        \n        other = other.$to_str().$to_s();\n        return self > other ? 1 : (self < other ? -1 : 0);;\n      } else {\n        \n        var cmp = other['$<=>'](self);\n\n        if (cmp === nil) {\n          return nil;\n        }\n        else {\n          return cmp > 0 ? -1 : (cmp < 0 ? 1 : 0);\n        }\n      \n      }\n    }, TMP_String_$lt$eq$gt_8.$$arity = 1);\n    \n    Opal.def(self, '$==', TMP_String_$eq$eq_9 = function(other) {\n      var self = this;\n\n      \n      if (other.$$is_string) {\n        return self.toString() === other.toString();\n      }\n      if ($$($nesting, 'Opal')['$respond_to?'](other, \"to_str\")) {\n        return other['$=='](self);\n      }\n      return false;\n    \n    }, TMP_String_$eq$eq_9.$$arity = 1);\n    Opal.alias(self, \"eql?\", \"==\");\n    Opal.alias(self, \"===\", \"==\");\n    \n    Opal.def(self, '$=~', TMP_String_$eq$_10 = function(other) {\n      var self = this;\n\n      \n      if (other.$$is_string) {\n        self.$raise($$($nesting, 'TypeError'), \"type mismatch: String given\");\n      }\n\n      return other['$=~'](self);\n    \n    }, TMP_String_$eq$_10.$$arity = 1);\n    \n    Opal.def(self, '$[]', TMP_String_$$_11 = function(index, length) {\n      var self = this;\n\n      \n      var size = self.length, exclude;\n\n      if (index.$$is_range) {\n        exclude = index.excl;\n        length  = $$($nesting, 'Opal').$coerce_to(index.end, $$($nesting, 'Integer'), \"to_int\");\n        index   = $$($nesting, 'Opal').$coerce_to(index.begin, $$($nesting, 'Integer'), \"to_int\");\n\n        if (Math.abs(index) > size) {\n          return nil;\n        }\n\n        if (index < 0) {\n          index += size;\n        }\n\n        if (length < 0) {\n          length += size;\n        }\n\n        if (!exclude) {\n          length += 1;\n        }\n\n        length = length - index;\n\n        if (length < 0) {\n          length = 0;\n        }\n\n        return self.substr(index, length);\n      }\n\n\n      if (index.$$is_string) {\n        if (length != null) {\n          self.$raise($$($nesting, 'TypeError'))\n        }\n        return self.indexOf(index) !== -1 ? index : nil;\n      }\n\n\n      if (index.$$is_regexp) {\n        var match = self.match(index);\n\n        if (match === null) {\n          ($gvars[\"~\"] = nil)\n          return nil;\n        }\n\n        ($gvars[\"~\"] = $$($nesting, 'MatchData').$new(index, match))\n\n        if (length == null) {\n          return match[0];\n        }\n\n        length = $$($nesting, 'Opal').$coerce_to(length, $$($nesting, 'Integer'), \"to_int\");\n\n        if (length < 0 && -length < match.length) {\n          return match[length += match.length];\n        }\n\n        if (length >= 0 && length < match.length) {\n          return match[length];\n        }\n\n        return nil;\n      }\n\n\n      index = $$($nesting, 'Opal').$coerce_to(index, $$($nesting, 'Integer'), \"to_int\");\n\n      if (index < 0) {\n        index += size;\n      }\n\n      if (length == null) {\n        if (index >= size || index < 0) {\n          return nil;\n        }\n        return self.substr(index, 1);\n      }\n\n      length = $$($nesting, 'Opal').$coerce_to(length, $$($nesting, 'Integer'), \"to_int\");\n\n      if (length < 0) {\n        return nil;\n      }\n\n      if (index > size || index < 0) {\n        return nil;\n      }\n\n      return self.substr(index, length);\n    \n    }, TMP_String_$$_11.$$arity = -2);\n    Opal.alias(self, \"byteslice\", \"[]\");\n    \n    Opal.def(self, '$b', TMP_String_b_12 = function $$b() {\n      var self = this;\n\n      return self.$force_encoding(\"binary\")\n    }, TMP_String_b_12.$$arity = 0);\n    \n    Opal.def(self, '$capitalize', TMP_String_capitalize_13 = function $$capitalize() {\n      var self = this;\n\n      return self.charAt(0).toUpperCase() + self.substr(1).toLowerCase();\n    }, TMP_String_capitalize_13.$$arity = 0);\n    \n    Opal.def(self, '$casecmp', TMP_String_casecmp_14 = function $$casecmp(other) {\n      var self = this;\n\n      \n      if ($truthy(other['$respond_to?'](\"to_str\"))) {\n      } else {\n        return nil\n      };\n      other = $$($nesting, 'Opal').$coerce_to(other, $$($nesting, 'String'), \"to_str\").$to_s();\n      \n      var ascii_only = /^[\\x00-\\x7F]*$/;\n      if (ascii_only.test(self) && ascii_only.test(other)) {\n        self = self.toLowerCase();\n        other = other.toLowerCase();\n      }\n    ;\n      return self['$<=>'](other);\n    }, TMP_String_casecmp_14.$$arity = 1);\n    \n    Opal.def(self, '$casecmp?', TMP_String_casecmp$q_15 = function(other) {\n      var self = this;\n\n      \n      var cmp = self.$casecmp(other);\n      if (cmp === nil) {\n        return nil;\n      } else {\n        return cmp === 0;\n      }\n    \n    }, TMP_String_casecmp$q_15.$$arity = 1);\n    \n    Opal.def(self, '$center', TMP_String_center_16 = function $$center(width, padstr) {\n      var self = this;\n\n      if (padstr == null) {\n        padstr = \" \";\n      }\n      \n      width = $$($nesting, 'Opal').$coerce_to(width, $$($nesting, 'Integer'), \"to_int\");\n      padstr = $$($nesting, 'Opal').$coerce_to(padstr, $$($nesting, 'String'), \"to_str\").$to_s();\n      if ($truthy(padstr['$empty?']())) {\n        self.$raise($$($nesting, 'ArgumentError'), \"zero width padding\")};\n      if ($truthy(width <= self.length)) {\n        return self};\n      \n      var ljustified = self.$ljust($rb_divide($rb_plus(width, self.length), 2).$ceil(), padstr),\n          rjustified = self.$rjust($rb_divide($rb_plus(width, self.length), 2).$floor(), padstr);\n\n      return rjustified + ljustified.slice(self.length);\n    ;\n    }, TMP_String_center_16.$$arity = -2);\n    \n    Opal.def(self, '$chars', TMP_String_chars_17 = function $$chars() {\n      var self = this, $iter = TMP_String_chars_17.$$p, block = $iter || nil;\n\n      if ($iter) TMP_String_chars_17.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return self.$each_char().$to_a()\n      };\n      return $send(self, 'each_char', [], block.$to_proc());\n    }, TMP_String_chars_17.$$arity = 0);\n    \n    Opal.def(self, '$chomp', TMP_String_chomp_18 = function $$chomp(separator) {\n      var self = this;\n      if ($gvars[\"/\"] == null) $gvars[\"/\"] = nil;\n\n      if (separator == null) {\n        separator = $gvars[\"/\"];\n      }\n      \n      if ($truthy(separator === nil || self.length === 0)) {\n        return self};\n      separator = $$($nesting, 'Opal')['$coerce_to!'](separator, $$($nesting, 'String'), \"to_str\").$to_s();\n      \n      if (separator === \"\\n\") {\n        return self.replace(/\\r?\\n?$/, '');\n      }\n      else if (separator === \"\") {\n        return self.replace(/(\\r?\\n)+$/, '');\n      }\n      else if (self.length > separator.length) {\n        var tail = self.substr(self.length - separator.length, separator.length);\n\n        if (tail === separator) {\n          return self.substr(0, self.length - separator.length);\n        }\n      }\n    ;\n      return self;\n    }, TMP_String_chomp_18.$$arity = -1);\n    \n    Opal.def(self, '$chop', TMP_String_chop_19 = function $$chop() {\n      var self = this;\n\n      \n      var length = self.length;\n\n      if (length <= 1) {\n        return \"\";\n      }\n\n      if (self.charAt(length - 1) === \"\\n\" && self.charAt(length - 2) === \"\\r\") {\n        return self.substr(0, length - 2);\n      }\n      else {\n        return self.substr(0, length - 1);\n      }\n    \n    }, TMP_String_chop_19.$$arity = 0);\n    \n    Opal.def(self, '$chr', TMP_String_chr_20 = function $$chr() {\n      var self = this;\n\n      return self.charAt(0);\n    }, TMP_String_chr_20.$$arity = 0);\n    \n    Opal.def(self, '$clone', TMP_String_clone_21 = function $$clone() {\n      var self = this, copy = nil;\n\n      \n      copy = self.slice();\n      copy.$copy_singleton_methods(self);\n      copy.$initialize_clone(self);\n      return copy;\n    }, TMP_String_clone_21.$$arity = 0);\n    \n    Opal.def(self, '$dup', TMP_String_dup_22 = function $$dup() {\n      var self = this, copy = nil;\n\n      \n      copy = self.slice();\n      copy.$initialize_dup(self);\n      return copy;\n    }, TMP_String_dup_22.$$arity = 0);\n    \n    Opal.def(self, '$count', TMP_String_count_23 = function $$count($a_rest) {\n      var self = this, sets;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      sets = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        sets[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      if (sets.length === 0) {\n        self.$raise($$($nesting, 'ArgumentError'), \"ArgumentError: wrong number of arguments (0 for 1+)\")\n      }\n      var char_class = char_class_from_char_sets(sets);\n      if (char_class === null) {\n        return 0;\n      }\n      return self.length - self.replace(new RegExp(char_class, 'g'), '').length;\n    \n    }, TMP_String_count_23.$$arity = -1);\n    \n    Opal.def(self, '$delete', TMP_String_delete_24 = function($a_rest) {\n      var self = this, sets;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      sets = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        sets[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      if (sets.length === 0) {\n        self.$raise($$($nesting, 'ArgumentError'), \"ArgumentError: wrong number of arguments (0 for 1+)\")\n      }\n      var char_class = char_class_from_char_sets(sets);\n      if (char_class === null) {\n        return self;\n      }\n      return self.replace(new RegExp(char_class, 'g'), '');\n    \n    }, TMP_String_delete_24.$$arity = -1);\n    \n    Opal.def(self, '$delete_prefix', TMP_String_delete_prefix_25 = function $$delete_prefix(prefix) {\n      var self = this;\n\n      \n      if (!prefix.$$is_string) {\n        (prefix = $$($nesting, 'Opal').$coerce_to(prefix, $$($nesting, 'String'), \"to_str\"))\n      }\n\n      if (self.slice(0, prefix.length) === prefix) {\n        return self.slice(prefix.length);\n      } else {\n        return self;\n      }\n    \n    }, TMP_String_delete_prefix_25.$$arity = 1);\n    \n    Opal.def(self, '$delete_suffix', TMP_String_delete_suffix_26 = function $$delete_suffix(suffix) {\n      var self = this;\n\n      \n      if (!suffix.$$is_string) {\n        (suffix = $$($nesting, 'Opal').$coerce_to(suffix, $$($nesting, 'String'), \"to_str\"))\n      }\n\n      if (self.slice(self.length - suffix.length) === suffix) {\n        return self.slice(0, self.length - suffix.length);\n      } else {\n        return self;\n      }\n    \n    }, TMP_String_delete_suffix_26.$$arity = 1);\n    \n    Opal.def(self, '$downcase', TMP_String_downcase_27 = function $$downcase() {\n      var self = this;\n\n      return self.toLowerCase();\n    }, TMP_String_downcase_27.$$arity = 0);\n    \n    Opal.def(self, '$each_char', TMP_String_each_char_28 = function $$each_char() {\n      var TMP_29, self = this, $iter = TMP_String_each_char_28.$$p, block = $iter || nil;\n\n      if ($iter) TMP_String_each_char_28.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"each_char\"], (TMP_29 = function(){var self = TMP_29.$$s || this;\n\n        return self.$size()}, TMP_29.$$s = self, TMP_29.$$arity = 0, TMP_29))\n      };\n      \n      for (var i = 0, length = self.length; i < length; i++) {\n        Opal.yield1(block, self.charAt(i));\n      }\n    ;\n      return self;\n    }, TMP_String_each_char_28.$$arity = 0);\n    \n    Opal.def(self, '$each_line', TMP_String_each_line_30 = function $$each_line(separator) {\n      var self = this, $iter = TMP_String_each_line_30.$$p, block = $iter || nil;\n      if ($gvars[\"/\"] == null) $gvars[\"/\"] = nil;\n\n      if (separator == null) {\n        separator = $gvars[\"/\"];\n      }\n      if ($iter) TMP_String_each_line_30.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return self.$enum_for(\"each_line\", separator)\n      };\n      \n      if (separator === nil) {\n        Opal.yield1(block, self);\n\n        return self;\n      }\n\n      separator = $$($nesting, 'Opal').$coerce_to(separator, $$($nesting, 'String'), \"to_str\")\n\n      var a, i, n, length, chomped, trailing, splitted;\n\n      if (separator.length === 0) {\n        for (a = self.split(/(\\n{2,})/), i = 0, n = a.length; i < n; i += 2) {\n          if (a[i] || a[i + 1]) {\n            Opal.yield1(block, (a[i] || \"\") + (a[i + 1] || \"\"));\n          }\n        }\n\n        return self;\n      }\n\n      chomped  = self.$chomp(separator);\n      trailing = self.length != chomped.length;\n      splitted = chomped.split(separator);\n\n      for (i = 0, length = splitted.length; i < length; i++) {\n        if (i < length - 1 || trailing) {\n          Opal.yield1(block, splitted[i] + separator);\n        }\n        else {\n          Opal.yield1(block, splitted[i]);\n        }\n      }\n    ;\n      return self;\n    }, TMP_String_each_line_30.$$arity = -1);\n    \n    Opal.def(self, '$empty?', TMP_String_empty$q_31 = function() {\n      var self = this;\n\n      return self.length === 0;\n    }, TMP_String_empty$q_31.$$arity = 0);\n    \n    Opal.def(self, '$end_with?', TMP_String_end_with$q_32 = function($a_rest) {\n      var self = this, suffixes;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      suffixes = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        suffixes[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      \n      for (var i = 0, length = suffixes.length; i < length; i++) {\n        var suffix = $$($nesting, 'Opal').$coerce_to(suffixes[i], $$($nesting, 'String'), \"to_str\").$to_s();\n\n        if (self.length >= suffix.length &&\n            self.substr(self.length - suffix.length, suffix.length) == suffix) {\n          return true;\n        }\n      }\n    ;\n      return false;\n    }, TMP_String_end_with$q_32.$$arity = -1);\n    Opal.alias(self, \"equal?\", \"===\");\n    \n    Opal.def(self, '$gsub', TMP_String_gsub_33 = function $$gsub(pattern, replacement) {\n      var self = this, $iter = TMP_String_gsub_33.$$p, block = $iter || nil;\n\n      if ($iter) TMP_String_gsub_33.$$p = null;\n      \n      if (replacement === undefined && block === nil) {\n        return self.$enum_for(\"gsub\", pattern);\n      }\n\n      var result = '', match_data = nil, index = 0, match, _replacement;\n\n      if (pattern.$$is_regexp) {\n        pattern = new RegExp(pattern.source, 'gm' + (pattern.ignoreCase ? 'i' : ''));\n      } else {\n        pattern = $$($nesting, 'Opal').$coerce_to(pattern, $$($nesting, 'String'), \"to_str\");\n        pattern = new RegExp(pattern.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\$&'), 'gm');\n      }\n\n      while (true) {\n        match = pattern.exec(self);\n\n        if (match === null) {\n          ($gvars[\"~\"] = nil)\n          result += self.slice(index);\n          break;\n        }\n\n        match_data = $$($nesting, 'MatchData').$new(pattern, match);\n\n        if (replacement === undefined) {\n          _replacement = block(match[0]);\n        }\n        else if (replacement.$$is_hash) {\n          _replacement = (replacement)['$[]'](match[0]).$to_s();\n        }\n        else {\n          if (!replacement.$$is_string) {\n            replacement = $$($nesting, 'Opal').$coerce_to(replacement, $$($nesting, 'String'), \"to_str\");\n          }\n          _replacement = replacement.replace(/([\\\\]+)([0-9+&`'])/g, function (original, slashes, command) {\n            if (slashes.length % 2 === 0) {\n              return original;\n            }\n            switch (command) {\n            case \"+\":\n              for (var i = match.length - 1; i > 0; i--) {\n                if (match[i] !== undefined) {\n                  return slashes.slice(1) + match[i];\n                }\n              }\n              return '';\n            case \"&\": return slashes.slice(1) + match[0];\n            case \"`\": return slashes.slice(1) + self.slice(0, match.index);\n            case \"'\": return slashes.slice(1) + self.slice(match.index + match[0].length);\n            default:  return slashes.slice(1) + (match[command] || '');\n            }\n          }).replace(/\\\\\\\\/g, '\\\\');\n        }\n\n        if (pattern.lastIndex === match.index) {\n          result += (_replacement + self.slice(index, match.index + 1))\n          pattern.lastIndex += 1;\n        }\n        else {\n          result += (self.slice(index, match.index) + _replacement)\n        }\n        index = pattern.lastIndex;\n      }\n\n      ($gvars[\"~\"] = match_data)\n      return result;\n    \n    }, TMP_String_gsub_33.$$arity = -2);\n    \n    Opal.def(self, '$hash', TMP_String_hash_34 = function $$hash() {\n      var self = this;\n\n      return self.toString();\n    }, TMP_String_hash_34.$$arity = 0);\n    \n    Opal.def(self, '$hex', TMP_String_hex_35 = function $$hex() {\n      var self = this;\n\n      return self.$to_i(16)\n    }, TMP_String_hex_35.$$arity = 0);\n    \n    Opal.def(self, '$include?', TMP_String_include$q_36 = function(other) {\n      var self = this;\n\n      \n      if (!other.$$is_string) {\n        (other = $$($nesting, 'Opal').$coerce_to(other, $$($nesting, 'String'), \"to_str\"))\n      }\n      return self.indexOf(other) !== -1;\n    \n    }, TMP_String_include$q_36.$$arity = 1);\n    \n    Opal.def(self, '$index', TMP_String_index_37 = function $$index(search, offset) {\n      var self = this;\n\n      \n      var index,\n          match,\n          regex;\n\n      if (offset === undefined) {\n        offset = 0;\n      } else {\n        offset = $$($nesting, 'Opal').$coerce_to(offset, $$($nesting, 'Integer'), \"to_int\");\n        if (offset < 0) {\n          offset += self.length;\n          if (offset < 0) {\n            return nil;\n          }\n        }\n      }\n\n      if (search.$$is_regexp) {\n        regex = new RegExp(search.source, 'gm' + (search.ignoreCase ? 'i' : ''));\n        while (true) {\n          match = regex.exec(self);\n          if (match === null) {\n            ($gvars[\"~\"] = nil);\n            index = -1;\n            break;\n          }\n          if (match.index >= offset) {\n            ($gvars[\"~\"] = $$($nesting, 'MatchData').$new(regex, match))\n            index = match.index;\n            break;\n          }\n          regex.lastIndex = match.index + 1;\n        }\n      } else {\n        search = $$($nesting, 'Opal').$coerce_to(search, $$($nesting, 'String'), \"to_str\");\n        if (search.length === 0 && offset > self.length) {\n          index = -1;\n        } else {\n          index = self.indexOf(search, offset);\n        }\n      }\n\n      return index === -1 ? nil : index;\n    \n    }, TMP_String_index_37.$$arity = -2);\n    \n    Opal.def(self, '$inspect', TMP_String_inspect_38 = function $$inspect() {\n      var self = this;\n\n      \n      var escapable = /[\\\\\\\"\\x00-\\x1f\\u007F-\\u009F\\u0600-\\u0604\\u070f\\u17b4\\u17b5\\u200c-\\u200f\\u2028-\\u202f\\u2060-\\u206f\\ufeff\\ufff0-\\uffff]/g,\n          meta = {\n            '\\u0007': '\\\\a',\n            '\\u001b': '\\\\e',\n            '\\b': '\\\\b',\n            '\\t': '\\\\t',\n            '\\n': '\\\\n',\n            '\\f': '\\\\f',\n            '\\r': '\\\\r',\n            '\\v': '\\\\v',\n            '\"' : '\\\\\"',\n            '\\\\': '\\\\\\\\'\n          },\n          escaped = self.replace(escapable, function (chr) {\n            return meta[chr] || '\\\\u' + ('0000' + chr.charCodeAt(0).toString(16).toUpperCase()).slice(-4);\n          });\n      return '\"' + escaped.replace(/\\#[\\$\\@\\{]/g, '\\\\$&') + '\"';\n    \n    }, TMP_String_inspect_38.$$arity = 0);\n    \n    Opal.def(self, '$intern', TMP_String_intern_39 = function $$intern() {\n      var self = this;\n\n      return self\n    }, TMP_String_intern_39.$$arity = 0);\n    \n    Opal.def(self, '$lines', TMP_String_lines_40 = function $$lines(separator) {\n      var self = this, $iter = TMP_String_lines_40.$$p, block = $iter || nil, e = nil;\n      if ($gvars[\"/\"] == null) $gvars[\"/\"] = nil;\n\n      if (separator == null) {\n        separator = $gvars[\"/\"];\n      }\n      if ($iter) TMP_String_lines_40.$$p = null;\n      \n      e = $send(self, 'each_line', [separator], block.$to_proc());\n      if ($truthy(block)) {\n        return self\n      } else {\n        return e.$to_a()\n      };\n    }, TMP_String_lines_40.$$arity = -1);\n    \n    Opal.def(self, '$length', TMP_String_length_41 = function $$length() {\n      var self = this;\n\n      return self.length;\n    }, TMP_String_length_41.$$arity = 0);\n    \n    Opal.def(self, '$ljust', TMP_String_ljust_42 = function $$ljust(width, padstr) {\n      var self = this;\n\n      if (padstr == null) {\n        padstr = \" \";\n      }\n      \n      width = $$($nesting, 'Opal').$coerce_to(width, $$($nesting, 'Integer'), \"to_int\");\n      padstr = $$($nesting, 'Opal').$coerce_to(padstr, $$($nesting, 'String'), \"to_str\").$to_s();\n      if ($truthy(padstr['$empty?']())) {\n        self.$raise($$($nesting, 'ArgumentError'), \"zero width padding\")};\n      if ($truthy(width <= self.length)) {\n        return self};\n      \n      var index  = -1,\n          result = \"\";\n\n      width -= self.length;\n\n      while (++index < width) {\n        result += padstr;\n      }\n\n      return self + result.slice(0, width);\n    ;\n    }, TMP_String_ljust_42.$$arity = -2);\n    \n    Opal.def(self, '$lstrip', TMP_String_lstrip_43 = function $$lstrip() {\n      var self = this;\n\n      return self.replace(/^\\s*/, '');\n    }, TMP_String_lstrip_43.$$arity = 0);\n    \n    Opal.def(self, '$ascii_only?', TMP_String_ascii_only$q_44 = function() {\n      var self = this;\n\n      return self.match(/[ -~\\n]*/)[0] === self;\n    }, TMP_String_ascii_only$q_44.$$arity = 0);\n    \n    Opal.def(self, '$match', TMP_String_match_45 = function $$match(pattern, pos) {\n      var $a, self = this, $iter = TMP_String_match_45.$$p, block = $iter || nil;\n\n      if ($iter) TMP_String_match_45.$$p = null;\n      \n      if ($truthy(($truthy($a = $$($nesting, 'String')['$==='](pattern)) ? $a : pattern['$respond_to?'](\"to_str\")))) {\n        pattern = $$($nesting, 'Regexp').$new(pattern.$to_str())};\n      if ($truthy($$($nesting, 'Regexp')['$==='](pattern))) {\n      } else {\n        self.$raise($$($nesting, 'TypeError'), \"\" + \"wrong argument type \" + (pattern.$class()) + \" (expected Regexp)\")\n      };\n      return $send(pattern, 'match', [self, pos], block.$to_proc());\n    }, TMP_String_match_45.$$arity = -2);\n    \n    Opal.def(self, '$next', TMP_String_next_46 = function $$next() {\n      var self = this;\n\n      \n      var i = self.length;\n      if (i === 0) {\n        return '';\n      }\n      var result = self;\n      var first_alphanum_char_index = self.search(/[a-zA-Z0-9]/);\n      var carry = false;\n      var code;\n      while (i--) {\n        code = self.charCodeAt(i);\n        if ((code >= 48 && code <= 57) ||\n          (code >= 65 && code <= 90) ||\n          (code >= 97 && code <= 122)) {\n          switch (code) {\n          case 57:\n            carry = true;\n            code = 48;\n            break;\n          case 90:\n            carry = true;\n            code = 65;\n            break;\n          case 122:\n            carry = true;\n            code = 97;\n            break;\n          default:\n            carry = false;\n            code += 1;\n          }\n        } else {\n          if (first_alphanum_char_index === -1) {\n            if (code === 255) {\n              carry = true;\n              code = 0;\n            } else {\n              carry = false;\n              code += 1;\n            }\n          } else {\n            carry = true;\n          }\n        }\n        result = result.slice(0, i) + String.fromCharCode(code) + result.slice(i + 1);\n        if (carry && (i === 0 || i === first_alphanum_char_index)) {\n          switch (code) {\n          case 65:\n            break;\n          case 97:\n            break;\n          default:\n            code += 1;\n          }\n          if (i === 0) {\n            result = String.fromCharCode(code) + result;\n          } else {\n            result = result.slice(0, i) + String.fromCharCode(code) + result.slice(i);\n          }\n          carry = false;\n        }\n        if (!carry) {\n          break;\n        }\n      }\n      return result;\n    \n    }, TMP_String_next_46.$$arity = 0);\n    \n    Opal.def(self, '$oct', TMP_String_oct_47 = function $$oct() {\n      var self = this;\n\n      \n      var result,\n          string = self,\n          radix = 8;\n\n      if (/^\\s*_/.test(string)) {\n        return 0;\n      }\n\n      string = string.replace(/^(\\s*[+-]?)(0[bodx]?)(.+)$/i, function (original, head, flag, tail) {\n        switch (tail.charAt(0)) {\n        case '+':\n        case '-':\n          return original;\n        case '0':\n          if (tail.charAt(1) === 'x' && flag === '0x') {\n            return original;\n          }\n        }\n        switch (flag) {\n        case '0b':\n          radix = 2;\n          break;\n        case '0':\n        case '0o':\n          radix = 8;\n          break;\n        case '0d':\n          radix = 10;\n          break;\n        case '0x':\n          radix = 16;\n          break;\n        }\n        return head + tail;\n      });\n\n      result = parseInt(string.replace(/_(?!_)/g, ''), radix);\n      return isNaN(result) ? 0 : result;\n    \n    }, TMP_String_oct_47.$$arity = 0);\n    \n    Opal.def(self, '$ord', TMP_String_ord_48 = function $$ord() {\n      var self = this;\n\n      return self.charCodeAt(0);\n    }, TMP_String_ord_48.$$arity = 0);\n    \n    Opal.def(self, '$partition', TMP_String_partition_49 = function $$partition(sep) {\n      var self = this;\n\n      \n      var i, m;\n\n      if (sep.$$is_regexp) {\n        m = sep.exec(self);\n        if (m === null) {\n          i = -1;\n        } else {\n          $$($nesting, 'MatchData').$new(sep, m);\n          sep = m[0];\n          i = m.index;\n        }\n      } else {\n        sep = $$($nesting, 'Opal').$coerce_to(sep, $$($nesting, 'String'), \"to_str\");\n        i = self.indexOf(sep);\n      }\n\n      if (i === -1) {\n        return [self, '', ''];\n      }\n\n      return [\n        self.slice(0, i),\n        self.slice(i, i + sep.length),\n        self.slice(i + sep.length)\n      ];\n    \n    }, TMP_String_partition_49.$$arity = 1);\n    \n    Opal.def(self, '$reverse', TMP_String_reverse_50 = function $$reverse() {\n      var self = this;\n\n      return self.split('').reverse().join('');\n    }, TMP_String_reverse_50.$$arity = 0);\n    \n    Opal.def(self, '$rindex', TMP_String_rindex_51 = function $$rindex(search, offset) {\n      var self = this;\n\n      \n      var i, m, r, _m;\n\n      if (offset === undefined) {\n        offset = self.length;\n      } else {\n        offset = $$($nesting, 'Opal').$coerce_to(offset, $$($nesting, 'Integer'), \"to_int\");\n        if (offset < 0) {\n          offset += self.length;\n          if (offset < 0) {\n            return nil;\n          }\n        }\n      }\n\n      if (search.$$is_regexp) {\n        m = null;\n        r = new RegExp(search.source, 'gm' + (search.ignoreCase ? 'i' : ''));\n        while (true) {\n          _m = r.exec(self);\n          if (_m === null || _m.index > offset) {\n            break;\n          }\n          m = _m;\n          r.lastIndex = m.index + 1;\n        }\n        if (m === null) {\n          ($gvars[\"~\"] = nil)\n          i = -1;\n        } else {\n          $$($nesting, 'MatchData').$new(r, m);\n          i = m.index;\n        }\n      } else {\n        search = $$($nesting, 'Opal').$coerce_to(search, $$($nesting, 'String'), \"to_str\");\n        i = self.lastIndexOf(search, offset);\n      }\n\n      return i === -1 ? nil : i;\n    \n    }, TMP_String_rindex_51.$$arity = -2);\n    \n    Opal.def(self, '$rjust', TMP_String_rjust_52 = function $$rjust(width, padstr) {\n      var self = this;\n\n      if (padstr == null) {\n        padstr = \" \";\n      }\n      \n      width = $$($nesting, 'Opal').$coerce_to(width, $$($nesting, 'Integer'), \"to_int\");\n      padstr = $$($nesting, 'Opal').$coerce_to(padstr, $$($nesting, 'String'), \"to_str\").$to_s();\n      if ($truthy(padstr['$empty?']())) {\n        self.$raise($$($nesting, 'ArgumentError'), \"zero width padding\")};\n      if ($truthy(width <= self.length)) {\n        return self};\n      \n      var chars     = Math.floor(width - self.length),\n          patterns  = Math.floor(chars / padstr.length),\n          result    = Array(patterns + 1).join(padstr),\n          remaining = chars - result.length;\n\n      return result + padstr.slice(0, remaining) + self;\n    ;\n    }, TMP_String_rjust_52.$$arity = -2);\n    \n    Opal.def(self, '$rpartition', TMP_String_rpartition_53 = function $$rpartition(sep) {\n      var self = this;\n\n      \n      var i, m, r, _m;\n\n      if (sep.$$is_regexp) {\n        m = null;\n        r = new RegExp(sep.source, 'gm' + (sep.ignoreCase ? 'i' : ''));\n\n        while (true) {\n          _m = r.exec(self);\n          if (_m === null) {\n            break;\n          }\n          m = _m;\n          r.lastIndex = m.index + 1;\n        }\n\n        if (m === null) {\n          i = -1;\n        } else {\n          $$($nesting, 'MatchData').$new(r, m);\n          sep = m[0];\n          i = m.index;\n        }\n\n      } else {\n        sep = $$($nesting, 'Opal').$coerce_to(sep, $$($nesting, 'String'), \"to_str\");\n        i = self.lastIndexOf(sep);\n      }\n\n      if (i === -1) {\n        return ['', '', self];\n      }\n\n      return [\n        self.slice(0, i),\n        self.slice(i, i + sep.length),\n        self.slice(i + sep.length)\n      ];\n    \n    }, TMP_String_rpartition_53.$$arity = 1);\n    \n    Opal.def(self, '$rstrip', TMP_String_rstrip_54 = function $$rstrip() {\n      var self = this;\n\n      return self.replace(/[\\s\\u0000]*$/, '');\n    }, TMP_String_rstrip_54.$$arity = 0);\n    \n    Opal.def(self, '$scan', TMP_String_scan_55 = function $$scan(pattern) {\n      var self = this, $iter = TMP_String_scan_55.$$p, block = $iter || nil;\n\n      if ($iter) TMP_String_scan_55.$$p = null;\n      \n      var result = [],\n          match_data = nil,\n          match;\n\n      if (pattern.$$is_regexp) {\n        pattern = new RegExp(pattern.source, 'gm' + (pattern.ignoreCase ? 'i' : ''));\n      } else {\n        pattern = $$($nesting, 'Opal').$coerce_to(pattern, $$($nesting, 'String'), \"to_str\");\n        pattern = new RegExp(pattern.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\$&'), 'gm');\n      }\n\n      while ((match = pattern.exec(self)) != null) {\n        match_data = $$($nesting, 'MatchData').$new(pattern, match);\n        if (block === nil) {\n          match.length == 1 ? result.push(match[0]) : result.push((match_data).$captures());\n        } else {\n          match.length == 1 ? block(match[0]) : block.call(self, (match_data).$captures());\n        }\n        if (pattern.lastIndex === match.index) {\n          pattern.lastIndex += 1;\n        }\n      }\n\n      ($gvars[\"~\"] = match_data)\n\n      return (block !== nil ? self : result);\n    \n    }, TMP_String_scan_55.$$arity = 1);\n    Opal.alias(self, \"size\", \"length\");\n    Opal.alias(self, \"slice\", \"[]\");\n    \n    Opal.def(self, '$split', TMP_String_split_56 = function $$split(pattern, limit) {\n      var $a, self = this;\n      if ($gvars[\";\"] == null) $gvars[\";\"] = nil;\n\n      \n      if (self.length === 0) {\n        return [];\n      }\n\n      if (limit === undefined) {\n        limit = 0;\n      } else {\n        limit = $$($nesting, 'Opal')['$coerce_to!'](limit, $$($nesting, 'Integer'), \"to_int\");\n        if (limit === 1) {\n          return [self];\n        }\n      }\n\n      if (pattern === undefined || pattern === nil) {\n        pattern = ($truthy($a = $gvars[\";\"]) ? $a : \" \");\n      }\n\n      var result = [],\n          string = self.toString(),\n          index = 0,\n          match,\n          i, ii;\n\n      if (pattern.$$is_regexp) {\n        pattern = new RegExp(pattern.source, 'gm' + (pattern.ignoreCase ? 'i' : ''));\n      } else {\n        pattern = $$($nesting, 'Opal').$coerce_to(pattern, $$($nesting, 'String'), \"to_str\").$to_s();\n        if (pattern === ' ') {\n          pattern = /\\s+/gm;\n          string = string.replace(/^\\s+/, '');\n        } else {\n          pattern = new RegExp(pattern.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\$&'), 'gm');\n        }\n      }\n\n      result = string.split(pattern);\n\n      if (result.length === 1 && result[0] === string) {\n        return result;\n      }\n\n      while ((i = result.indexOf(undefined)) !== -1) {\n        result.splice(i, 1);\n      }\n\n      if (limit === 0) {\n        while (result[result.length - 1] === '') {\n          result.length -= 1;\n        }\n        return result;\n      }\n\n      match = pattern.exec(string);\n\n      if (limit < 0) {\n        if (match !== null && match[0] === '' && pattern.source.indexOf('(?=') === -1) {\n          for (i = 0, ii = match.length; i < ii; i++) {\n            result.push('');\n          }\n        }\n        return result;\n      }\n\n      if (match !== null && match[0] === '') {\n        result.splice(limit - 1, result.length - 1, result.slice(limit - 1).join(''));\n        return result;\n      }\n\n      if (limit >= result.length) {\n        return result;\n      }\n\n      i = 0;\n      while (match !== null) {\n        i++;\n        index = pattern.lastIndex;\n        if (i + 1 === limit) {\n          break;\n        }\n        match = pattern.exec(string);\n      }\n      result.splice(limit - 1, result.length - 1, string.slice(index));\n      return result;\n    \n    }, TMP_String_split_56.$$arity = -1);\n    \n    Opal.def(self, '$squeeze', TMP_String_squeeze_57 = function $$squeeze($a_rest) {\n      var self = this, sets;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      sets = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        sets[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      if (sets.length === 0) {\n        return self.replace(/(.)\\1+/g, '$1');\n      }\n      var char_class = char_class_from_char_sets(sets);\n      if (char_class === null) {\n        return self;\n      }\n      return self.replace(new RegExp('(' + char_class + ')\\\\1+', 'g'), '$1');\n    \n    }, TMP_String_squeeze_57.$$arity = -1);\n    \n    Opal.def(self, '$start_with?', TMP_String_start_with$q_58 = function($a_rest) {\n      var self = this, prefixes;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      prefixes = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        prefixes[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      for (var i = 0, length = prefixes.length; i < length; i++) {\n        var prefix = $$($nesting, 'Opal').$coerce_to(prefixes[i], $$($nesting, 'String'), \"to_str\").$to_s();\n\n        if (self.indexOf(prefix) === 0) {\n          return true;\n        }\n      }\n\n      return false;\n    \n    }, TMP_String_start_with$q_58.$$arity = -1);\n    \n    Opal.def(self, '$strip', TMP_String_strip_59 = function $$strip() {\n      var self = this;\n\n      return self.replace(/^\\s*/, '').replace(/[\\s\\u0000]*$/, '');\n    }, TMP_String_strip_59.$$arity = 0);\n    \n    Opal.def(self, '$sub', TMP_String_sub_60 = function $$sub(pattern, replacement) {\n      var self = this, $iter = TMP_String_sub_60.$$p, block = $iter || nil;\n\n      if ($iter) TMP_String_sub_60.$$p = null;\n      \n      if (!pattern.$$is_regexp) {\n        pattern = $$($nesting, 'Opal').$coerce_to(pattern, $$($nesting, 'String'), \"to_str\");\n        pattern = new RegExp(pattern.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\$&'));\n      }\n\n      var result = pattern.exec(self);\n\n      if (result === null) {\n        ($gvars[\"~\"] = nil)\n        return self.toString();\n      }\n\n      $$($nesting, 'MatchData').$new(pattern, result)\n\n      if (replacement === undefined) {\n        if (block === nil) {\n          self.$raise($$($nesting, 'ArgumentError'), \"wrong number of arguments (1 for 2)\")\n        }\n        return self.slice(0, result.index) + block(result[0]) + self.slice(result.index + result[0].length);\n      }\n\n      if (replacement.$$is_hash) {\n        return self.slice(0, result.index) + (replacement)['$[]'](result[0]).$to_s() + self.slice(result.index + result[0].length);\n      }\n\n      replacement = $$($nesting, 'Opal').$coerce_to(replacement, $$($nesting, 'String'), \"to_str\");\n\n      replacement = replacement.replace(/([\\\\]+)([0-9+&`'])/g, function (original, slashes, command) {\n        if (slashes.length % 2 === 0) {\n          return original;\n        }\n        switch (command) {\n        case \"+\":\n          for (var i = result.length - 1; i > 0; i--) {\n            if (result[i] !== undefined) {\n              return slashes.slice(1) + result[i];\n            }\n          }\n          return '';\n        case \"&\": return slashes.slice(1) + result[0];\n        case \"`\": return slashes.slice(1) + self.slice(0, result.index);\n        case \"'\": return slashes.slice(1) + self.slice(result.index + result[0].length);\n        default:  return slashes.slice(1) + (result[command] || '');\n        }\n      }).replace(/\\\\\\\\/g, '\\\\');\n\n      return self.slice(0, result.index) + replacement + self.slice(result.index + result[0].length);\n    \n    }, TMP_String_sub_60.$$arity = -2);\n    Opal.alias(self, \"succ\", \"next\");\n    \n    Opal.def(self, '$sum', TMP_String_sum_61 = function $$sum(n) {\n      var self = this;\n\n      if (n == null) {\n        n = 16;\n      }\n      \n      n = $$($nesting, 'Opal').$coerce_to(n, $$($nesting, 'Integer'), \"to_int\");\n\n      var result = 0,\n          length = self.length,\n          i = 0;\n\n      for (; i < length; i++) {\n        result += self.charCodeAt(i);\n      }\n\n      if (n <= 0) {\n        return result;\n      }\n\n      return result & (Math.pow(2, n) - 1);\n    \n    }, TMP_String_sum_61.$$arity = -1);\n    \n    Opal.def(self, '$swapcase', TMP_String_swapcase_62 = function $$swapcase() {\n      var self = this;\n\n      \n      var str = self.replace(/([a-z]+)|([A-Z]+)/g, function($0,$1,$2) {\n        return $1 ? $0.toUpperCase() : $0.toLowerCase();\n      });\n\n      if (self.constructor === String) {\n        return str;\n      }\n\n      return self.$class().$new(str);\n    \n    }, TMP_String_swapcase_62.$$arity = 0);\n    \n    Opal.def(self, '$to_f', TMP_String_to_f_63 = function $$to_f() {\n      var self = this;\n\n      \n      if (self.charAt(0) === '_') {\n        return 0;\n      }\n\n      var result = parseFloat(self.replace(/_/g, ''));\n\n      if (isNaN(result) || result == Infinity || result == -Infinity) {\n        return 0;\n      }\n      else {\n        return result;\n      }\n    \n    }, TMP_String_to_f_63.$$arity = 0);\n    \n    Opal.def(self, '$to_i', TMP_String_to_i_64 = function $$to_i(base) {\n      var self = this;\n\n      if (base == null) {\n        base = 10;\n      }\n      \n      var result,\n          string = self.toLowerCase(),\n          radix = $$($nesting, 'Opal').$coerce_to(base, $$($nesting, 'Integer'), \"to_int\");\n\n      if (radix === 1 || radix < 0 || radix > 36) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid radix \" + (radix))\n      }\n\n      if (/^\\s*_/.test(string)) {\n        return 0;\n      }\n\n      string = string.replace(/^(\\s*[+-]?)(0[bodx]?)(.+)$/, function (original, head, flag, tail) {\n        switch (tail.charAt(0)) {\n        case '+':\n        case '-':\n          return original;\n        case '0':\n          if (tail.charAt(1) === 'x' && flag === '0x' && (radix === 0 || radix === 16)) {\n            return original;\n          }\n        }\n        switch (flag) {\n        case '0b':\n          if (radix === 0 || radix === 2) {\n            radix = 2;\n            return head + tail;\n          }\n          break;\n        case '0':\n        case '0o':\n          if (radix === 0 || radix === 8) {\n            radix = 8;\n            return head + tail;\n          }\n          break;\n        case '0d':\n          if (radix === 0 || radix === 10) {\n            radix = 10;\n            return head + tail;\n          }\n          break;\n        case '0x':\n          if (radix === 0 || radix === 16) {\n            radix = 16;\n            return head + tail;\n          }\n          break;\n        }\n        return original\n      });\n\n      result = parseInt(string.replace(/_(?!_)/g, ''), radix);\n      return isNaN(result) ? 0 : result;\n    \n    }, TMP_String_to_i_64.$$arity = -1);\n    \n    Opal.def(self, '$to_proc', TMP_String_to_proc_66 = function $$to_proc() {\n      var TMP_65, self = this, sym = nil;\n\n      \n      sym = self.valueOf();\n      return $send(self, 'proc', [], (TMP_65 = function($a_rest){var self = TMP_65.$$s || this, block, args;\n\n        block = TMP_65.$$p || nil;\n        if (block) TMP_65.$$p = null;\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        args = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          args[$arg_idx - 0] = arguments[$arg_idx];\n        }\n      \n        if (args.length === 0) {\n          self.$raise($$($nesting, 'ArgumentError'), \"no receiver given\")\n        }\n        var obj = args.shift();\n        if (obj == null) obj = nil;\n        return Opal.send(obj, sym, args, block);\n      }, TMP_65.$$s = self, TMP_65.$$arity = -1, TMP_65));\n    }, TMP_String_to_proc_66.$$arity = 0);\n    \n    Opal.def(self, '$to_s', TMP_String_to_s_67 = function $$to_s() {\n      var self = this;\n\n      return self.toString();\n    }, TMP_String_to_s_67.$$arity = 0);\n    Opal.alias(self, \"to_str\", \"to_s\");\n    Opal.alias(self, \"to_sym\", \"intern\");\n    \n    Opal.def(self, '$tr', TMP_String_tr_68 = function $$tr(from, to) {\n      var self = this;\n\n      \n      from = $$($nesting, 'Opal').$coerce_to(from, $$($nesting, 'String'), \"to_str\").$to_s();\n      to = $$($nesting, 'Opal').$coerce_to(to, $$($nesting, 'String'), \"to_str\").$to_s();\n      \n      if (from.length == 0 || from === to) {\n        return self;\n      }\n\n      var i, in_range, c, ch, start, end, length;\n      var subs = {};\n      var from_chars = from.split('');\n      var from_length = from_chars.length;\n      var to_chars = to.split('');\n      var to_length = to_chars.length;\n\n      var inverse = false;\n      var global_sub = null;\n      if (from_chars[0] === '^' && from_chars.length > 1) {\n        inverse = true;\n        from_chars.shift();\n        global_sub = to_chars[to_length - 1]\n        from_length -= 1;\n      }\n\n      var from_chars_expanded = [];\n      var last_from = null;\n      in_range = false;\n      for (i = 0; i < from_length; i++) {\n        ch = from_chars[i];\n        if (last_from == null) {\n          last_from = ch;\n          from_chars_expanded.push(ch);\n        }\n        else if (ch === '-') {\n          if (last_from === '-') {\n            from_chars_expanded.push('-');\n            from_chars_expanded.push('-');\n          }\n          else if (i == from_length - 1) {\n            from_chars_expanded.push('-');\n          }\n          else {\n            in_range = true;\n          }\n        }\n        else if (in_range) {\n          start = last_from.charCodeAt(0);\n          end = ch.charCodeAt(0);\n          if (start > end) {\n            self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid range \\\"\" + (String.fromCharCode(start)) + \"-\" + (String.fromCharCode(end)) + \"\\\" in string transliteration\")\n          }\n          for (c = start + 1; c < end; c++) {\n            from_chars_expanded.push(String.fromCharCode(c));\n          }\n          from_chars_expanded.push(ch);\n          in_range = null;\n          last_from = null;\n        }\n        else {\n          from_chars_expanded.push(ch);\n        }\n      }\n\n      from_chars = from_chars_expanded;\n      from_length = from_chars.length;\n\n      if (inverse) {\n        for (i = 0; i < from_length; i++) {\n          subs[from_chars[i]] = true;\n        }\n      }\n      else {\n        if (to_length > 0) {\n          var to_chars_expanded = [];\n          var last_to = null;\n          in_range = false;\n          for (i = 0; i < to_length; i++) {\n            ch = to_chars[i];\n            if (last_to == null) {\n              last_to = ch;\n              to_chars_expanded.push(ch);\n            }\n            else if (ch === '-') {\n              if (last_to === '-') {\n                to_chars_expanded.push('-');\n                to_chars_expanded.push('-');\n              }\n              else if (i == to_length - 1) {\n                to_chars_expanded.push('-');\n              }\n              else {\n                in_range = true;\n              }\n            }\n            else if (in_range) {\n              start = last_to.charCodeAt(0);\n              end = ch.charCodeAt(0);\n              if (start > end) {\n                self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid range \\\"\" + (String.fromCharCode(start)) + \"-\" + (String.fromCharCode(end)) + \"\\\" in string transliteration\")\n              }\n              for (c = start + 1; c < end; c++) {\n                to_chars_expanded.push(String.fromCharCode(c));\n              }\n              to_chars_expanded.push(ch);\n              in_range = null;\n              last_to = null;\n            }\n            else {\n              to_chars_expanded.push(ch);\n            }\n          }\n\n          to_chars = to_chars_expanded;\n          to_length = to_chars.length;\n        }\n\n        var length_diff = from_length - to_length;\n        if (length_diff > 0) {\n          var pad_char = (to_length > 0 ? to_chars[to_length - 1] : '');\n          for (i = 0; i < length_diff; i++) {\n            to_chars.push(pad_char);\n          }\n        }\n\n        for (i = 0; i < from_length; i++) {\n          subs[from_chars[i]] = to_chars[i];\n        }\n      }\n\n      var new_str = ''\n      for (i = 0, length = self.length; i < length; i++) {\n        ch = self.charAt(i);\n        var sub = subs[ch];\n        if (inverse) {\n          new_str += (sub == null ? global_sub : ch);\n        }\n        else {\n          new_str += (sub != null ? sub : ch);\n        }\n      }\n      return new_str;\n    ;\n    }, TMP_String_tr_68.$$arity = 2);\n    \n    Opal.def(self, '$tr_s', TMP_String_tr_s_69 = function $$tr_s(from, to) {\n      var self = this;\n\n      \n      from = $$($nesting, 'Opal').$coerce_to(from, $$($nesting, 'String'), \"to_str\").$to_s();\n      to = $$($nesting, 'Opal').$coerce_to(to, $$($nesting, 'String'), \"to_str\").$to_s();\n      \n      if (from.length == 0) {\n        return self;\n      }\n\n      var i, in_range, c, ch, start, end, length;\n      var subs = {};\n      var from_chars = from.split('');\n      var from_length = from_chars.length;\n      var to_chars = to.split('');\n      var to_length = to_chars.length;\n\n      var inverse = false;\n      var global_sub = null;\n      if (from_chars[0] === '^' && from_chars.length > 1) {\n        inverse = true;\n        from_chars.shift();\n        global_sub = to_chars[to_length - 1]\n        from_length -= 1;\n      }\n\n      var from_chars_expanded = [];\n      var last_from = null;\n      in_range = false;\n      for (i = 0; i < from_length; i++) {\n        ch = from_chars[i];\n        if (last_from == null) {\n          last_from = ch;\n          from_chars_expanded.push(ch);\n        }\n        else if (ch === '-') {\n          if (last_from === '-') {\n            from_chars_expanded.push('-');\n            from_chars_expanded.push('-');\n          }\n          else if (i == from_length - 1) {\n            from_chars_expanded.push('-');\n          }\n          else {\n            in_range = true;\n          }\n        }\n        else if (in_range) {\n          start = last_from.charCodeAt(0);\n          end = ch.charCodeAt(0);\n          if (start > end) {\n            self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid range \\\"\" + (String.fromCharCode(start)) + \"-\" + (String.fromCharCode(end)) + \"\\\" in string transliteration\")\n          }\n          for (c = start + 1; c < end; c++) {\n            from_chars_expanded.push(String.fromCharCode(c));\n          }\n          from_chars_expanded.push(ch);\n          in_range = null;\n          last_from = null;\n        }\n        else {\n          from_chars_expanded.push(ch);\n        }\n      }\n\n      from_chars = from_chars_expanded;\n      from_length = from_chars.length;\n\n      if (inverse) {\n        for (i = 0; i < from_length; i++) {\n          subs[from_chars[i]] = true;\n        }\n      }\n      else {\n        if (to_length > 0) {\n          var to_chars_expanded = [];\n          var last_to = null;\n          in_range = false;\n          for (i = 0; i < to_length; i++) {\n            ch = to_chars[i];\n            if (last_from == null) {\n              last_from = ch;\n              to_chars_expanded.push(ch);\n            }\n            else if (ch === '-') {\n              if (last_to === '-') {\n                to_chars_expanded.push('-');\n                to_chars_expanded.push('-');\n              }\n              else if (i == to_length - 1) {\n                to_chars_expanded.push('-');\n              }\n              else {\n                in_range = true;\n              }\n            }\n            else if (in_range) {\n              start = last_from.charCodeAt(0);\n              end = ch.charCodeAt(0);\n              if (start > end) {\n                self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid range \\\"\" + (String.fromCharCode(start)) + \"-\" + (String.fromCharCode(end)) + \"\\\" in string transliteration\")\n              }\n              for (c = start + 1; c < end; c++) {\n                to_chars_expanded.push(String.fromCharCode(c));\n              }\n              to_chars_expanded.push(ch);\n              in_range = null;\n              last_from = null;\n            }\n            else {\n              to_chars_expanded.push(ch);\n            }\n          }\n\n          to_chars = to_chars_expanded;\n          to_length = to_chars.length;\n        }\n\n        var length_diff = from_length - to_length;\n        if (length_diff > 0) {\n          var pad_char = (to_length > 0 ? to_chars[to_length - 1] : '');\n          for (i = 0; i < length_diff; i++) {\n            to_chars.push(pad_char);\n          }\n        }\n\n        for (i = 0; i < from_length; i++) {\n          subs[from_chars[i]] = to_chars[i];\n        }\n      }\n      var new_str = ''\n      var last_substitute = null\n      for (i = 0, length = self.length; i < length; i++) {\n        ch = self.charAt(i);\n        var sub = subs[ch]\n        if (inverse) {\n          if (sub == null) {\n            if (last_substitute == null) {\n              new_str += global_sub;\n              last_substitute = true;\n            }\n          }\n          else {\n            new_str += ch;\n            last_substitute = null;\n          }\n        }\n        else {\n          if (sub != null) {\n            if (last_substitute == null || last_substitute !== sub) {\n              new_str += sub;\n              last_substitute = sub;\n            }\n          }\n          else {\n            new_str += ch;\n            last_substitute = null;\n          }\n        }\n      }\n      return new_str;\n    ;\n    }, TMP_String_tr_s_69.$$arity = 2);\n    \n    Opal.def(self, '$upcase', TMP_String_upcase_70 = function $$upcase() {\n      var self = this;\n\n      return self.toUpperCase();\n    }, TMP_String_upcase_70.$$arity = 0);\n    \n    Opal.def(self, '$upto', TMP_String_upto_71 = function $$upto(stop, excl) {\n      var self = this, $iter = TMP_String_upto_71.$$p, block = $iter || nil;\n\n      if (excl == null) {\n        excl = false;\n      }\n      if ($iter) TMP_String_upto_71.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return self.$enum_for(\"upto\", stop, excl)\n      };\n      stop = $$($nesting, 'Opal').$coerce_to(stop, $$($nesting, 'String'), \"to_str\");\n      \n      var a, b, s = self.toString();\n\n      if (s.length === 1 && stop.length === 1) {\n\n        a = s.charCodeAt(0);\n        b = stop.charCodeAt(0);\n\n        while (a <= b) {\n          if (excl && a === b) {\n            break;\n          }\n\n          block(String.fromCharCode(a));\n\n          a += 1;\n        }\n\n      } else if (parseInt(s, 10).toString() === s && parseInt(stop, 10).toString() === stop) {\n\n        a = parseInt(s, 10);\n        b = parseInt(stop, 10);\n\n        while (a <= b) {\n          if (excl && a === b) {\n            break;\n          }\n\n          block(a.toString());\n\n          a += 1;\n        }\n\n      } else {\n\n        while (s.length <= stop.length && s <= stop) {\n          if (excl && s === stop) {\n            break;\n          }\n\n          block(s);\n\n          s = (s).$succ();\n        }\n\n      }\n      return self;\n    ;\n    }, TMP_String_upto_71.$$arity = -2);\n    \n    function char_class_from_char_sets(sets) {\n      function explode_sequences_in_character_set(set) {\n        var result = '',\n            i, len = set.length,\n            curr_char,\n            skip_next_dash,\n            char_code_from,\n            char_code_upto,\n            char_code;\n        for (i = 0; i < len; i++) {\n          curr_char = set.charAt(i);\n          if (curr_char === '-' && i > 0 && i < (len - 1) && !skip_next_dash) {\n            char_code_from = set.charCodeAt(i - 1);\n            char_code_upto = set.charCodeAt(i + 1);\n            if (char_code_from > char_code_upto) {\n              self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid range \\\"\" + (char_code_from) + \"-\" + (char_code_upto) + \"\\\" in string transliteration\")\n            }\n            for (char_code = char_code_from + 1; char_code < char_code_upto + 1; char_code++) {\n              result += String.fromCharCode(char_code);\n            }\n            skip_next_dash = true;\n            i++;\n          } else {\n            skip_next_dash = (curr_char === '\\\\');\n            result += curr_char;\n          }\n        }\n        return result;\n      }\n\n      function intersection(setA, setB) {\n        if (setA.length === 0) {\n          return setB;\n        }\n        var result = '',\n            i, len = setA.length,\n            chr;\n        for (i = 0; i < len; i++) {\n          chr = setA.charAt(i);\n          if (setB.indexOf(chr) !== -1) {\n            result += chr;\n          }\n        }\n        return result;\n      }\n\n      var i, len, set, neg, chr, tmp,\n          pos_intersection = '',\n          neg_intersection = '';\n\n      for (i = 0, len = sets.length; i < len; i++) {\n        set = $$($nesting, 'Opal').$coerce_to(sets[i], $$($nesting, 'String'), \"to_str\");\n        neg = (set.charAt(0) === '^' && set.length > 1);\n        set = explode_sequences_in_character_set(neg ? set.slice(1) : set);\n        if (neg) {\n          neg_intersection = intersection(neg_intersection, set);\n        } else {\n          pos_intersection = intersection(pos_intersection, set);\n        }\n      }\n\n      if (pos_intersection.length > 0 && neg_intersection.length > 0) {\n        tmp = '';\n        for (i = 0, len = pos_intersection.length; i < len; i++) {\n          chr = pos_intersection.charAt(i);\n          if (neg_intersection.indexOf(chr) === -1) {\n            tmp += chr;\n          }\n        }\n        pos_intersection = tmp;\n        neg_intersection = '';\n      }\n\n      if (pos_intersection.length > 0) {\n        return '[' + $$($nesting, 'Regexp').$escape(pos_intersection) + ']';\n      }\n\n      if (neg_intersection.length > 0) {\n        return '[^' + $$($nesting, 'Regexp').$escape(neg_intersection) + ']';\n      }\n\n      return null;\n    }\n  ;\n    \n    Opal.def(self, '$instance_variables', TMP_String_instance_variables_72 = function $$instance_variables() {\n      var self = this;\n\n      return []\n    }, TMP_String_instance_variables_72.$$arity = 0);\n    Opal.defs(self, '$_load', TMP_String__load_73 = function $$_load($a_rest) {\n      var self = this, args;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      return $send(self, 'new', Opal.to_a(args))\n    }, TMP_String__load_73.$$arity = -1);\n    \n    Opal.def(self, '$unpack', TMP_String_unpack_74 = function $$unpack(format) {\n      var self = this;\n\n      return self.$raise(\"To use String#unpack, you must first require 'corelib/string/unpack'.\")\n    }, TMP_String_unpack_74.$$arity = 1);\n    return (Opal.def(self, '$unpack1', TMP_String_unpack1_75 = function $$unpack1(format) {\n      var self = this;\n\n      return self.$raise(\"To use String#unpack1, you must first require 'corelib/string/unpack'.\")\n    }, TMP_String_unpack1_75.$$arity = 1), nil) && 'unpack1';\n  })($nesting[0], String, $nesting);\n  return Opal.const_set($nesting[0], 'Symbol', $$($nesting, 'String'));\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/enumerable\"] = function(Opal) {\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_divide(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs / rhs : lhs['$/'](rhs);\n  }\n  function $rb_le(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs <= rhs : lhs['$<='](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $truthy = Opal.truthy, $send = Opal.send, $falsy = Opal.falsy, $hash2 = Opal.hash2, $lambda = Opal.lambda;\n\n  Opal.add_stubs(['$each', '$public_send', '$destructure', '$to_enum', '$enumerator_size', '$new', '$yield', '$raise', '$slice_when', '$!', '$enum_for', '$flatten', '$map', '$warn', '$proc', '$==', '$nil?', '$respond_to?', '$coerce_to!', '$>', '$*', '$coerce_to', '$try_convert', '$<', '$+', '$-', '$ceil', '$/', '$size', '$__send__', '$length', '$<=', '$[]', '$push', '$<<', '$[]=', '$===', '$inspect', '$<=>', '$first', '$reverse', '$sort', '$to_proc', '$compare', '$call', '$dup', '$to_a', '$sort!', '$map!', '$key?', '$values', '$zip']);\n  return (function($base, $parent_nesting) {\n    var $Enumerable, self = $Enumerable = $module($base, 'Enumerable');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Enumerable_all$q_1, TMP_Enumerable_any$q_5, TMP_Enumerable_chunk_9, TMP_Enumerable_chunk_while_12, TMP_Enumerable_collect_14, TMP_Enumerable_collect_concat_16, TMP_Enumerable_count_19, TMP_Enumerable_cycle_23, TMP_Enumerable_detect_25, TMP_Enumerable_drop_27, TMP_Enumerable_drop_while_28, TMP_Enumerable_each_cons_29, TMP_Enumerable_each_entry_31, TMP_Enumerable_each_slice_33, TMP_Enumerable_each_with_index_35, TMP_Enumerable_each_with_object_37, TMP_Enumerable_entries_39, TMP_Enumerable_find_all_40, TMP_Enumerable_find_index_42, TMP_Enumerable_first_47, TMP_Enumerable_grep_48, TMP_Enumerable_grep_v_50, TMP_Enumerable_group_by_52, TMP_Enumerable_include$q_55, TMP_Enumerable_inject_56, TMP_Enumerable_lazy_58, TMP_Enumerable_enumerator_size_59, TMP_Enumerable_max_60, TMP_Enumerable_max_by_61, TMP_Enumerable_min_63, TMP_Enumerable_min_by_64, TMP_Enumerable_minmax_66, TMP_Enumerable_minmax_by_68, TMP_Enumerable_none$q_69, TMP_Enumerable_one$q_73, TMP_Enumerable_partition_77, TMP_Enumerable_reject_79, TMP_Enumerable_reverse_each_81, TMP_Enumerable_slice_before_83, TMP_Enumerable_slice_after_85, TMP_Enumerable_slice_when_88, TMP_Enumerable_sort_90, TMP_Enumerable_sort_by_92, TMP_Enumerable_sum_98, TMP_Enumerable_take_99, TMP_Enumerable_take_while_100, TMP_Enumerable_uniq_102, TMP_Enumerable_zip_104;\n\n    \n    \n    function comparableForPattern(value) {\n      if (value.length === 0) {\n        value = [nil];\n      }\n\n      if (value.length > 1) {\n        value = [value];\n      }\n\n      return value;\n    }\n  ;\n    \n    Opal.def(self, '$all?', TMP_Enumerable_all$q_1 = function(pattern) {try {\n\n      var TMP_2, TMP_3, TMP_4, self = this, $iter = TMP_Enumerable_all$q_1.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_all$q_1.$$p = null;\n      \n      if ($truthy(pattern !== undefined)) {\n        $send(self, 'each', [], (TMP_2 = function($a_rest){var self = TMP_2.$$s || this, value, comparable = nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          value = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            value[$arg_idx - 0] = arguments[$arg_idx];\n          }\n        \n          comparable = comparableForPattern(value);\n          if ($truthy($send(pattern, 'public_send', [\"===\"].concat(Opal.to_a(comparable))))) {\n            return nil\n          } else {\n            Opal.ret(false)\n          };}, TMP_2.$$s = self, TMP_2.$$arity = -1, TMP_2))\n      } else if ((block !== nil)) {\n        $send(self, 'each', [], (TMP_3 = function($a_rest){var self = TMP_3.$$s || this, value;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          value = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            value[$arg_idx - 0] = arguments[$arg_idx];\n          }\n        if ($truthy(Opal.yieldX(block, Opal.to_a(value)))) {\n            return nil\n          } else {\n            Opal.ret(false)\n          }}, TMP_3.$$s = self, TMP_3.$$arity = -1, TMP_3))\n      } else {\n        $send(self, 'each', [], (TMP_4 = function($a_rest){var self = TMP_4.$$s || this, value;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          value = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            value[$arg_idx - 0] = arguments[$arg_idx];\n          }\n        if ($truthy($$($nesting, 'Opal').$destructure(value))) {\n            return nil\n          } else {\n            Opal.ret(false)\n          }}, TMP_4.$$s = self, TMP_4.$$arity = -1, TMP_4))\n      };\n      return true;\n      } catch ($returner) { if ($returner === Opal.returner) { return $returner.$v } throw $returner; }\n    }, TMP_Enumerable_all$q_1.$$arity = -1);\n    \n    Opal.def(self, '$any?', TMP_Enumerable_any$q_5 = function(pattern) {try {\n\n      var TMP_6, TMP_7, TMP_8, self = this, $iter = TMP_Enumerable_any$q_5.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_any$q_5.$$p = null;\n      \n      if ($truthy(pattern !== undefined)) {\n        $send(self, 'each', [], (TMP_6 = function($a_rest){var self = TMP_6.$$s || this, value, comparable = nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          value = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            value[$arg_idx - 0] = arguments[$arg_idx];\n          }\n        \n          comparable = comparableForPattern(value);\n          if ($truthy($send(pattern, 'public_send', [\"===\"].concat(Opal.to_a(comparable))))) {\n            Opal.ret(true)\n          } else {\n            return nil\n          };}, TMP_6.$$s = self, TMP_6.$$arity = -1, TMP_6))\n      } else if ((block !== nil)) {\n        $send(self, 'each', [], (TMP_7 = function($a_rest){var self = TMP_7.$$s || this, value;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          value = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            value[$arg_idx - 0] = arguments[$arg_idx];\n          }\n        if ($truthy(Opal.yieldX(block, Opal.to_a(value)))) {\n            Opal.ret(true)\n          } else {\n            return nil\n          }}, TMP_7.$$s = self, TMP_7.$$arity = -1, TMP_7))\n      } else {\n        $send(self, 'each', [], (TMP_8 = function($a_rest){var self = TMP_8.$$s || this, value;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          value = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            value[$arg_idx - 0] = arguments[$arg_idx];\n          }\n        if ($truthy($$($nesting, 'Opal').$destructure(value))) {\n            Opal.ret(true)\n          } else {\n            return nil\n          }}, TMP_8.$$s = self, TMP_8.$$arity = -1, TMP_8))\n      };\n      return false;\n      } catch ($returner) { if ($returner === Opal.returner) { return $returner.$v } throw $returner; }\n    }, TMP_Enumerable_any$q_5.$$arity = -1);\n    \n    Opal.def(self, '$chunk', TMP_Enumerable_chunk_9 = function $$chunk() {\n      var TMP_10, TMP_11, self = this, $iter = TMP_Enumerable_chunk_9.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_chunk_9.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'to_enum', [\"chunk\"], (TMP_10 = function(){var self = TMP_10.$$s || this;\n\n        return self.$enumerator_size()}, TMP_10.$$s = self, TMP_10.$$arity = 0, TMP_10))\n      };\n      return $send($$$('::', 'Enumerator'), 'new', [], (TMP_11 = function(yielder){var self = TMP_11.$$s || this;\nif (yielder == null) yielder = nil;\n      \n        var previous = nil, accumulate = [];\n\n        function releaseAccumulate() {\n          if (accumulate.length > 0) {\n            yielder.$yield(previous, accumulate)\n          }\n        }\n\n        self.$each.$$p = function(value) {\n          var key = Opal.yield1(block, value);\n\n          if (key === nil) {\n            releaseAccumulate();\n            accumulate = [];\n            previous = nil;\n          } else {\n            if (previous === nil || previous === key) {\n              accumulate.push(value);\n            } else {\n              releaseAccumulate();\n              accumulate = [value];\n            }\n\n            previous = key;\n          }\n        }\n\n        self.$each();\n\n        releaseAccumulate();\n      }, TMP_11.$$s = self, TMP_11.$$arity = 1, TMP_11));\n    }, TMP_Enumerable_chunk_9.$$arity = 0);\n    \n    Opal.def(self, '$chunk_while', TMP_Enumerable_chunk_while_12 = function $$chunk_while() {\n      var TMP_13, self = this, $iter = TMP_Enumerable_chunk_while_12.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_chunk_while_12.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        self.$raise($$($nesting, 'ArgumentError'), \"no block given\")\n      };\n      return $send(self, 'slice_when', [], (TMP_13 = function(before, after){var self = TMP_13.$$s || this;\nif (before == null) before = nil;if (after == null) after = nil;\n      return Opal.yieldX(block, [before, after])['$!']()}, TMP_13.$$s = self, TMP_13.$$arity = 2, TMP_13));\n    }, TMP_Enumerable_chunk_while_12.$$arity = 0);\n    \n    Opal.def(self, '$collect', TMP_Enumerable_collect_14 = function $$collect() {\n      var TMP_15, self = this, $iter = TMP_Enumerable_collect_14.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_collect_14.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"collect\"], (TMP_15 = function(){var self = TMP_15.$$s || this;\n\n        return self.$enumerator_size()}, TMP_15.$$s = self, TMP_15.$$arity = 0, TMP_15))\n      };\n      \n      var result = [];\n\n      self.$each.$$p = function() {\n        var value = Opal.yieldX(block, arguments);\n\n        result.push(value);\n      };\n\n      self.$each();\n\n      return result;\n    ;\n    }, TMP_Enumerable_collect_14.$$arity = 0);\n    \n    Opal.def(self, '$collect_concat', TMP_Enumerable_collect_concat_16 = function $$collect_concat() {\n      var TMP_17, TMP_18, self = this, $iter = TMP_Enumerable_collect_concat_16.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_collect_concat_16.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"collect_concat\"], (TMP_17 = function(){var self = TMP_17.$$s || this;\n\n        return self.$enumerator_size()}, TMP_17.$$s = self, TMP_17.$$arity = 0, TMP_17))\n      };\n      return $send(self, 'map', [], (TMP_18 = function(item){var self = TMP_18.$$s || this;\nif (item == null) item = nil;\n      return Opal.yield1(block, item);}, TMP_18.$$s = self, TMP_18.$$arity = 1, TMP_18)).$flatten(1);\n    }, TMP_Enumerable_collect_concat_16.$$arity = 0);\n    \n    Opal.def(self, '$count', TMP_Enumerable_count_19 = function $$count(object) {\n      var TMP_20, TMP_21, TMP_22, self = this, $iter = TMP_Enumerable_count_19.$$p, block = $iter || nil, result = nil;\n\n      if ($iter) TMP_Enumerable_count_19.$$p = null;\n      \n      result = 0;\n      \n      if (object != null && block !== nil) {\n        self.$warn(\"warning: given block not used\")\n      }\n    ;\n      if ($truthy(object != null)) {\n        block = $send(self, 'proc', [], (TMP_20 = function($a_rest){var self = TMP_20.$$s || this, args;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 0] = arguments[$arg_idx];\n          }\n        return $$($nesting, 'Opal').$destructure(args)['$=='](object)}, TMP_20.$$s = self, TMP_20.$$arity = -1, TMP_20))\n      } else if ($truthy(block['$nil?']())) {\n        block = $send(self, 'proc', [], (TMP_21 = function(){var self = TMP_21.$$s || this;\n\n        return true}, TMP_21.$$s = self, TMP_21.$$arity = 0, TMP_21))};\n      $send(self, 'each', [], (TMP_22 = function($a_rest){var self = TMP_22.$$s || this, args;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        args = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          args[$arg_idx - 0] = arguments[$arg_idx];\n        }\n      if ($truthy(Opal.yieldX(block, args))) {\n          return result++;\n        } else {\n          return nil\n        }}, TMP_22.$$s = self, TMP_22.$$arity = -1, TMP_22));\n      return result;\n    }, TMP_Enumerable_count_19.$$arity = -1);\n    \n    Opal.def(self, '$cycle', TMP_Enumerable_cycle_23 = function $$cycle(n) {\n      var TMP_24, self = this, $iter = TMP_Enumerable_cycle_23.$$p, block = $iter || nil;\n\n      if (n == null) {\n        n = nil;\n      }\n      if ($iter) TMP_Enumerable_cycle_23.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"cycle\", n], (TMP_24 = function(){var self = TMP_24.$$s || this;\n\n        if ($truthy(n['$nil?']())) {\n            if ($truthy(self['$respond_to?'](\"size\"))) {\n              return $$$($$($nesting, 'Float'), 'INFINITY')\n            } else {\n              return nil\n            }\n          } else {\n            \n            n = $$($nesting, 'Opal')['$coerce_to!'](n, $$($nesting, 'Integer'), \"to_int\");\n            if ($truthy($rb_gt(n, 0))) {\n              return $rb_times(self.$enumerator_size(), n)\n            } else {\n              return 0\n            };\n          }}, TMP_24.$$s = self, TMP_24.$$arity = 0, TMP_24))\n      };\n      if ($truthy(n['$nil?']())) {\n      } else {\n        \n        n = $$($nesting, 'Opal')['$coerce_to!'](n, $$($nesting, 'Integer'), \"to_int\");\n        if ($truthy(n <= 0)) {\n          return nil};\n      };\n      \n      var result,\n          all = [], i, length, value;\n\n      self.$each.$$p = function() {\n        var param = $$($nesting, 'Opal').$destructure(arguments),\n            value = Opal.yield1(block, param);\n\n        all.push(param);\n      }\n\n      self.$each();\n\n      if (result !== undefined) {\n        return result;\n      }\n\n      if (all.length === 0) {\n        return nil;\n      }\n\n      if (n === nil) {\n        while (true) {\n          for (i = 0, length = all.length; i < length; i++) {\n            value = Opal.yield1(block, all[i]);\n          }\n        }\n      }\n      else {\n        while (n > 1) {\n          for (i = 0, length = all.length; i < length; i++) {\n            value = Opal.yield1(block, all[i]);\n          }\n\n          n--;\n        }\n      }\n    ;\n    }, TMP_Enumerable_cycle_23.$$arity = -1);\n    \n    Opal.def(self, '$detect', TMP_Enumerable_detect_25 = function $$detect(ifnone) {try {\n\n      var TMP_26, self = this, $iter = TMP_Enumerable_detect_25.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_detect_25.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return self.$enum_for(\"detect\", ifnone)\n      };\n      $send(self, 'each', [], (TMP_26 = function($a_rest){var self = TMP_26.$$s || this, args, value = nil;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        args = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          args[$arg_idx - 0] = arguments[$arg_idx];\n        }\n      \n        value = $$($nesting, 'Opal').$destructure(args);\n        if ($truthy(Opal.yield1(block, value))) {\n          Opal.ret(value)\n        } else {\n          return nil\n        };}, TMP_26.$$s = self, TMP_26.$$arity = -1, TMP_26));\n      \n      if (ifnone !== undefined) {\n        if (typeof(ifnone) === 'function') {\n          return ifnone();\n        } else {\n          return ifnone;\n        }\n      }\n    ;\n      return nil;\n      } catch ($returner) { if ($returner === Opal.returner) { return $returner.$v } throw $returner; }\n    }, TMP_Enumerable_detect_25.$$arity = -1);\n    \n    Opal.def(self, '$drop', TMP_Enumerable_drop_27 = function $$drop(number) {\n      var self = this;\n\n      \n      number = $$($nesting, 'Opal').$coerce_to(number, $$($nesting, 'Integer'), \"to_int\");\n      if ($truthy(number < 0)) {\n        self.$raise($$($nesting, 'ArgumentError'), \"attempt to drop negative size\")};\n      \n      var result  = [],\n          current = 0;\n\n      self.$each.$$p = function() {\n        if (number <= current) {\n          result.push($$($nesting, 'Opal').$destructure(arguments));\n        }\n\n        current++;\n      };\n\n      self.$each()\n\n      return result;\n    ;\n    }, TMP_Enumerable_drop_27.$$arity = 1);\n    \n    Opal.def(self, '$drop_while', TMP_Enumerable_drop_while_28 = function $$drop_while() {\n      var self = this, $iter = TMP_Enumerable_drop_while_28.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_drop_while_28.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return self.$enum_for(\"drop_while\")\n      };\n      \n      var result   = [],\n          dropping = true;\n\n      self.$each.$$p = function() {\n        var param = $$($nesting, 'Opal').$destructure(arguments);\n\n        if (dropping) {\n          var value = Opal.yield1(block, param);\n\n          if ($falsy(value)) {\n            dropping = false;\n            result.push(param);\n          }\n        }\n        else {\n          result.push(param);\n        }\n      };\n\n      self.$each();\n\n      return result;\n    ;\n    }, TMP_Enumerable_drop_while_28.$$arity = 0);\n    \n    Opal.def(self, '$each_cons', TMP_Enumerable_each_cons_29 = function $$each_cons(n) {\n      var TMP_30, self = this, $iter = TMP_Enumerable_each_cons_29.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_each_cons_29.$$p = null;\n      \n      if ($truthy(arguments.length != 1)) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"wrong number of arguments (\" + (arguments.length) + \" for 1)\")};\n      n = $$($nesting, 'Opal').$try_convert(n, $$($nesting, 'Integer'), \"to_int\");\n      if ($truthy(n <= 0)) {\n        self.$raise($$($nesting, 'ArgumentError'), \"invalid size\")};\n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"each_cons\", n], (TMP_30 = function(){var self = TMP_30.$$s || this, $a, enum_size = nil;\n\n        \n          enum_size = self.$enumerator_size();\n          if ($truthy(enum_size['$nil?']())) {\n            return nil\n          } else if ($truthy(($truthy($a = enum_size['$=='](0)) ? $a : $rb_lt(enum_size, n)))) {\n            return 0\n          } else {\n            return $rb_plus($rb_minus(enum_size, n), 1)\n          };}, TMP_30.$$s = self, TMP_30.$$arity = 0, TMP_30))\n      };\n      \n      var buffer = [], result = nil;\n\n      self.$each.$$p = function() {\n        var element = $$($nesting, 'Opal').$destructure(arguments);\n        buffer.push(element);\n        if (buffer.length > n) {\n          buffer.shift();\n        }\n        if (buffer.length == n) {\n          Opal.yield1(block, buffer.slice(0, n));\n        }\n      }\n\n      self.$each();\n\n      return result;\n    ;\n    }, TMP_Enumerable_each_cons_29.$$arity = 1);\n    \n    Opal.def(self, '$each_entry', TMP_Enumerable_each_entry_31 = function $$each_entry($a_rest) {\n      var TMP_32, self = this, data, $iter = TMP_Enumerable_each_entry_31.$$p, block = $iter || nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      data = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        data[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Enumerable_each_entry_31.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'to_enum', [\"each_entry\"].concat(Opal.to_a(data)), (TMP_32 = function(){var self = TMP_32.$$s || this;\n\n        return self.$enumerator_size()}, TMP_32.$$s = self, TMP_32.$$arity = 0, TMP_32))\n      };\n      \n      self.$each.$$p = function() {\n        var item = $$($nesting, 'Opal').$destructure(arguments);\n\n        Opal.yield1(block, item);\n      }\n\n      self.$each.apply(self, data);\n\n      return self;\n    ;\n    }, TMP_Enumerable_each_entry_31.$$arity = -1);\n    \n    Opal.def(self, '$each_slice', TMP_Enumerable_each_slice_33 = function $$each_slice(n) {\n      var TMP_34, self = this, $iter = TMP_Enumerable_each_slice_33.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_each_slice_33.$$p = null;\n      \n      n = $$($nesting, 'Opal').$coerce_to(n, $$($nesting, 'Integer'), \"to_int\");\n      if ($truthy(n <= 0)) {\n        self.$raise($$($nesting, 'ArgumentError'), \"invalid slice size\")};\n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"each_slice\", n], (TMP_34 = function(){var self = TMP_34.$$s || this;\n\n        if ($truthy(self['$respond_to?'](\"size\"))) {\n            return $rb_divide(self.$size(), n).$ceil()\n          } else {\n            return nil\n          }}, TMP_34.$$s = self, TMP_34.$$arity = 0, TMP_34))\n      };\n      \n      var result,\n          slice = []\n\n      self.$each.$$p = function() {\n        var param = $$($nesting, 'Opal').$destructure(arguments);\n\n        slice.push(param);\n\n        if (slice.length === n) {\n          Opal.yield1(block, slice);\n          slice = [];\n        }\n      };\n\n      self.$each();\n\n      if (result !== undefined) {\n        return result;\n      }\n\n      // our \"last\" group, if smaller than n then won't have been yielded\n      if (slice.length > 0) {\n        Opal.yield1(block, slice);\n      }\n    ;\n      return nil;\n    }, TMP_Enumerable_each_slice_33.$$arity = 1);\n    \n    Opal.def(self, '$each_with_index', TMP_Enumerable_each_with_index_35 = function $$each_with_index($a_rest) {\n      var TMP_36, self = this, args, $iter = TMP_Enumerable_each_with_index_35.$$p, block = $iter || nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Enumerable_each_with_index_35.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"each_with_index\"].concat(Opal.to_a(args)), (TMP_36 = function(){var self = TMP_36.$$s || this;\n\n        return self.$enumerator_size()}, TMP_36.$$s = self, TMP_36.$$arity = 0, TMP_36))\n      };\n      \n      var result,\n          index = 0;\n\n      self.$each.$$p = function() {\n        var param = $$($nesting, 'Opal').$destructure(arguments);\n\n        block(param, index);\n\n        index++;\n      };\n\n      self.$each.apply(self, args);\n\n      if (result !== undefined) {\n        return result;\n      }\n    ;\n      return self;\n    }, TMP_Enumerable_each_with_index_35.$$arity = -1);\n    \n    Opal.def(self, '$each_with_object', TMP_Enumerable_each_with_object_37 = function $$each_with_object(object) {\n      var TMP_38, self = this, $iter = TMP_Enumerable_each_with_object_37.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_each_with_object_37.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"each_with_object\", object], (TMP_38 = function(){var self = TMP_38.$$s || this;\n\n        return self.$enumerator_size()}, TMP_38.$$s = self, TMP_38.$$arity = 0, TMP_38))\n      };\n      \n      var result;\n\n      self.$each.$$p = function() {\n        var param = $$($nesting, 'Opal').$destructure(arguments);\n\n        block(param, object);\n      };\n\n      self.$each();\n\n      if (result !== undefined) {\n        return result;\n      }\n    ;\n      return object;\n    }, TMP_Enumerable_each_with_object_37.$$arity = 1);\n    \n    Opal.def(self, '$entries', TMP_Enumerable_entries_39 = function $$entries($a_rest) {\n      var self = this, args;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      var result = [];\n\n      self.$each.$$p = function() {\n        result.push($$($nesting, 'Opal').$destructure(arguments));\n      };\n\n      self.$each.apply(self, args);\n\n      return result;\n    \n    }, TMP_Enumerable_entries_39.$$arity = -1);\n    Opal.alias(self, \"find\", \"detect\");\n    \n    Opal.def(self, '$find_all', TMP_Enumerable_find_all_40 = function $$find_all() {\n      var TMP_41, self = this, $iter = TMP_Enumerable_find_all_40.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_find_all_40.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"find_all\"], (TMP_41 = function(){var self = TMP_41.$$s || this;\n\n        return self.$enumerator_size()}, TMP_41.$$s = self, TMP_41.$$arity = 0, TMP_41))\n      };\n      \n      var result = [];\n\n      self.$each.$$p = function() {\n        var param = $$($nesting, 'Opal').$destructure(arguments),\n            value = Opal.yield1(block, param);\n\n        if ($truthy(value)) {\n          result.push(param);\n        }\n      };\n\n      self.$each();\n\n      return result;\n    ;\n    }, TMP_Enumerable_find_all_40.$$arity = 0);\n    \n    Opal.def(self, '$find_index', TMP_Enumerable_find_index_42 = function $$find_index(object) {try {\n\n      var TMP_43, TMP_44, self = this, $iter = TMP_Enumerable_find_index_42.$$p, block = $iter || nil, index = nil;\n\n      if ($iter) TMP_Enumerable_find_index_42.$$p = null;\n      \n      if ($truthy(object === undefined && block === nil)) {\n        return self.$enum_for(\"find_index\")};\n      \n      if (object != null && block !== nil) {\n        self.$warn(\"warning: given block not used\")\n      }\n    ;\n      index = 0;\n      if ($truthy(object != null)) {\n        $send(self, 'each', [], (TMP_43 = function($a_rest){var self = TMP_43.$$s || this, value;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          value = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            value[$arg_idx - 0] = arguments[$arg_idx];\n          }\n        \n          if ($$($nesting, 'Opal').$destructure(value)['$=='](object)) {\n            Opal.ret(index)};\n          return index += 1;;}, TMP_43.$$s = self, TMP_43.$$arity = -1, TMP_43))\n      } else {\n        $send(self, 'each', [], (TMP_44 = function($a_rest){var self = TMP_44.$$s || this, value;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          value = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            value[$arg_idx - 0] = arguments[$arg_idx];\n          }\n        \n          if ($truthy(Opal.yieldX(block, Opal.to_a(value)))) {\n            Opal.ret(index)};\n          return index += 1;;}, TMP_44.$$s = self, TMP_44.$$arity = -1, TMP_44))\n      };\n      return nil;\n      } catch ($returner) { if ($returner === Opal.returner) { return $returner.$v } throw $returner; }\n    }, TMP_Enumerable_find_index_42.$$arity = -1);\n    \n    Opal.def(self, '$first', TMP_Enumerable_first_47 = function $$first(number) {try {\n\n      var TMP_45, TMP_46, self = this, result = nil, current = nil;\n\n      if ($truthy(number === undefined)) {\n        return $send(self, 'each', [], (TMP_45 = function(value){var self = TMP_45.$$s || this;\nif (value == null) value = nil;\n        Opal.ret(value)}, TMP_45.$$s = self, TMP_45.$$arity = 1, TMP_45))\n      } else {\n        \n        result = [];\n        number = $$($nesting, 'Opal').$coerce_to(number, $$($nesting, 'Integer'), \"to_int\");\n        if ($truthy(number < 0)) {\n          self.$raise($$($nesting, 'ArgumentError'), \"attempt to take negative size\")};\n        if ($truthy(number == 0)) {\n          return []};\n        current = 0;\n        $send(self, 'each', [], (TMP_46 = function($a_rest){var self = TMP_46.$$s || this, args;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 0] = arguments[$arg_idx];\n          }\n        \n          result.push($$($nesting, 'Opal').$destructure(args));\n          if ($truthy(number <= ++current)) {\n            Opal.ret(result)\n          } else {\n            return nil\n          };}, TMP_46.$$s = self, TMP_46.$$arity = -1, TMP_46));\n        return result;\n      }\n      } catch ($returner) { if ($returner === Opal.returner) { return $returner.$v } throw $returner; }\n    }, TMP_Enumerable_first_47.$$arity = -1);\n    Opal.alias(self, \"flat_map\", \"collect_concat\");\n    \n    Opal.def(self, '$grep', TMP_Enumerable_grep_48 = function $$grep(pattern) {\n      var TMP_49, self = this, $iter = TMP_Enumerable_grep_48.$$p, block = $iter || nil, result = nil;\n\n      if ($iter) TMP_Enumerable_grep_48.$$p = null;\n      \n      result = [];\n      $send(self, 'each', [], (TMP_49 = function($a_rest){var self = TMP_49.$$s || this, value, cmp = nil;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        value = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          value[$arg_idx - 0] = arguments[$arg_idx];\n        }\n      \n        cmp = comparableForPattern(value);\n        if ($truthy($send(pattern, '__send__', [\"===\"].concat(Opal.to_a(cmp))))) {\n        } else {\n          return nil;\n        };\n        if ((block !== nil)) {\n          \n          if ($truthy($rb_gt(value.$length(), 1))) {\n            value = [value]};\n          value = Opal.yieldX(block, Opal.to_a(value));\n        } else if ($truthy($rb_le(value.$length(), 1))) {\n          value = value['$[]'](0)};\n        return result.$push(value);}, TMP_49.$$s = self, TMP_49.$$arity = -1, TMP_49));\n      return result;\n    }, TMP_Enumerable_grep_48.$$arity = 1);\n    \n    Opal.def(self, '$grep_v', TMP_Enumerable_grep_v_50 = function $$grep_v(pattern) {\n      var TMP_51, self = this, $iter = TMP_Enumerable_grep_v_50.$$p, block = $iter || nil, result = nil;\n\n      if ($iter) TMP_Enumerable_grep_v_50.$$p = null;\n      \n      result = [];\n      $send(self, 'each', [], (TMP_51 = function($a_rest){var self = TMP_51.$$s || this, value, cmp = nil;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        value = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          value[$arg_idx - 0] = arguments[$arg_idx];\n        }\n      \n        cmp = comparableForPattern(value);\n        if ($truthy($send(pattern, '__send__', [\"===\"].concat(Opal.to_a(cmp))))) {\n          return nil;};\n        if ((block !== nil)) {\n          \n          if ($truthy($rb_gt(value.$length(), 1))) {\n            value = [value]};\n          value = Opal.yieldX(block, Opal.to_a(value));\n        } else if ($truthy($rb_le(value.$length(), 1))) {\n          value = value['$[]'](0)};\n        return result.$push(value);}, TMP_51.$$s = self, TMP_51.$$arity = -1, TMP_51));\n      return result;\n    }, TMP_Enumerable_grep_v_50.$$arity = 1);\n    \n    Opal.def(self, '$group_by', TMP_Enumerable_group_by_52 = function $$group_by() {\n      var TMP_53, $a, self = this, $iter = TMP_Enumerable_group_by_52.$$p, block = $iter || nil, hash = nil, $writer = nil;\n\n      if ($iter) TMP_Enumerable_group_by_52.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"group_by\"], (TMP_53 = function(){var self = TMP_53.$$s || this;\n\n        return self.$enumerator_size()}, TMP_53.$$s = self, TMP_53.$$arity = 0, TMP_53))\n      };\n      hash = $hash2([], {});\n      \n      var result;\n\n      self.$each.$$p = function() {\n        var param = $$($nesting, 'Opal').$destructure(arguments),\n            value = Opal.yield1(block, param);\n\n        ($truthy($a = hash['$[]'](value)) ? $a : (($writer = [value, []]), $send(hash, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))['$<<'](param);\n      }\n\n      self.$each();\n\n      if (result !== undefined) {\n        return result;\n      }\n    ;\n      return hash;\n    }, TMP_Enumerable_group_by_52.$$arity = 0);\n    \n    Opal.def(self, '$include?', TMP_Enumerable_include$q_55 = function(obj) {try {\n\n      var TMP_54, self = this;\n\n      \n      $send(self, 'each', [], (TMP_54 = function($a_rest){var self = TMP_54.$$s || this, args;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        args = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          args[$arg_idx - 0] = arguments[$arg_idx];\n        }\n      if ($$($nesting, 'Opal').$destructure(args)['$=='](obj)) {\n          Opal.ret(true)\n        } else {\n          return nil\n        }}, TMP_54.$$s = self, TMP_54.$$arity = -1, TMP_54));\n      return false;\n      } catch ($returner) { if ($returner === Opal.returner) { return $returner.$v } throw $returner; }\n    }, TMP_Enumerable_include$q_55.$$arity = 1);\n    \n    Opal.def(self, '$inject', TMP_Enumerable_inject_56 = function $$inject(object, sym) {\n      var self = this, $iter = TMP_Enumerable_inject_56.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_inject_56.$$p = null;\n      \n      var result = object;\n\n      if (block !== nil && sym === undefined) {\n        self.$each.$$p = function() {\n          var value = $$($nesting, 'Opal').$destructure(arguments);\n\n          if (result === undefined) {\n            result = value;\n            return;\n          }\n\n          value = Opal.yieldX(block, [result, value]);\n\n          result = value;\n        };\n      }\n      else {\n        if (sym === undefined) {\n          if (!$$($nesting, 'Symbol')['$==='](object)) {\n            self.$raise($$($nesting, 'TypeError'), \"\" + (object.$inspect()) + \" is not a Symbol\");\n          }\n\n          sym    = object;\n          result = undefined;\n        }\n\n        self.$each.$$p = function() {\n          var value = $$($nesting, 'Opal').$destructure(arguments);\n\n          if (result === undefined) {\n            result = value;\n            return;\n          }\n\n          result = (result).$__send__(sym, value);\n        };\n      }\n\n      self.$each();\n\n      return result == undefined ? nil : result;\n    \n    }, TMP_Enumerable_inject_56.$$arity = -1);\n    \n    Opal.def(self, '$lazy', TMP_Enumerable_lazy_58 = function $$lazy() {\n      var TMP_57, self = this;\n\n      return $send($$$($$($nesting, 'Enumerator'), 'Lazy'), 'new', [self, self.$enumerator_size()], (TMP_57 = function(enum$, $a_rest){var self = TMP_57.$$s || this, args;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 1;\n        if ($rest_len < 0) { $rest_len = 0; }\n        args = new Array($rest_len);\n        for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n          args[$arg_idx - 1] = arguments[$arg_idx];\n        }if (enum$ == null) enum$ = nil;\n      return $send(enum$, 'yield', Opal.to_a(args))}, TMP_57.$$s = self, TMP_57.$$arity = -2, TMP_57))\n    }, TMP_Enumerable_lazy_58.$$arity = 0);\n    \n    Opal.def(self, '$enumerator_size', TMP_Enumerable_enumerator_size_59 = function $$enumerator_size() {\n      var self = this;\n\n      if ($truthy(self['$respond_to?'](\"size\"))) {\n        return self.$size()\n      } else {\n        return nil\n      }\n    }, TMP_Enumerable_enumerator_size_59.$$arity = 0);\n    Opal.alias(self, \"map\", \"collect\");\n    \n    Opal.def(self, '$max', TMP_Enumerable_max_60 = function $$max(n) {\n      var self = this, $iter = TMP_Enumerable_max_60.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_max_60.$$p = null;\n      \n      \n      if (n === undefined || n === nil) {\n        var result, value;\n\n        self.$each.$$p = function() {\n          var item = $$($nesting, 'Opal').$destructure(arguments);\n\n          if (result === undefined) {\n            result = item;\n            return;\n          }\n\n          if (block !== nil) {\n            value = Opal.yieldX(block, [item, result]);\n          } else {\n            value = (item)['$<=>'](result);\n          }\n\n          if (value === nil) {\n            self.$raise($$($nesting, 'ArgumentError'), \"comparison failed\");\n          }\n\n          if (value > 0) {\n            result = item;\n          }\n        }\n\n        self.$each();\n\n        if (result === undefined) {\n          return nil;\n        } else {\n          return result;\n        }\n      }\n    ;\n      n = $$($nesting, 'Opal').$coerce_to(n, $$($nesting, 'Integer'), \"to_int\");\n      return $send(self, 'sort', [], block.$to_proc()).$reverse().$first(n);\n    }, TMP_Enumerable_max_60.$$arity = -1);\n    \n    Opal.def(self, '$max_by', TMP_Enumerable_max_by_61 = function $$max_by() {\n      var TMP_62, self = this, $iter = TMP_Enumerable_max_by_61.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_max_by_61.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"max_by\"], (TMP_62 = function(){var self = TMP_62.$$s || this;\n\n        return self.$enumerator_size()}, TMP_62.$$s = self, TMP_62.$$arity = 0, TMP_62))\n      };\n      \n      var result,\n          by;\n\n      self.$each.$$p = function() {\n        var param = $$($nesting, 'Opal').$destructure(arguments),\n            value = Opal.yield1(block, param);\n\n        if (result === undefined) {\n          result = param;\n          by     = value;\n          return;\n        }\n\n        if ((value)['$<=>'](by) > 0) {\n          result = param\n          by     = value;\n        }\n      };\n\n      self.$each();\n\n      return result === undefined ? nil : result;\n    ;\n    }, TMP_Enumerable_max_by_61.$$arity = 0);\n    Opal.alias(self, \"member?\", \"include?\");\n    \n    Opal.def(self, '$min', TMP_Enumerable_min_63 = function $$min() {\n      var self = this, $iter = TMP_Enumerable_min_63.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_min_63.$$p = null;\n      \n      var result;\n\n      if (block !== nil) {\n        self.$each.$$p = function() {\n          var param = $$($nesting, 'Opal').$destructure(arguments);\n\n          if (result === undefined) {\n            result = param;\n            return;\n          }\n\n          var value = block(param, result);\n\n          if (value === nil) {\n            self.$raise($$($nesting, 'ArgumentError'), \"comparison failed\");\n          }\n\n          if (value < 0) {\n            result = param;\n          }\n        };\n      }\n      else {\n        self.$each.$$p = function() {\n          var param = $$($nesting, 'Opal').$destructure(arguments);\n\n          if (result === undefined) {\n            result = param;\n            return;\n          }\n\n          if ($$($nesting, 'Opal').$compare(param, result) < 0) {\n            result = param;\n          }\n        };\n      }\n\n      self.$each();\n\n      return result === undefined ? nil : result;\n    \n    }, TMP_Enumerable_min_63.$$arity = 0);\n    \n    Opal.def(self, '$min_by', TMP_Enumerable_min_by_64 = function $$min_by() {\n      var TMP_65, self = this, $iter = TMP_Enumerable_min_by_64.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_min_by_64.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"min_by\"], (TMP_65 = function(){var self = TMP_65.$$s || this;\n\n        return self.$enumerator_size()}, TMP_65.$$s = self, TMP_65.$$arity = 0, TMP_65))\n      };\n      \n      var result,\n          by;\n\n      self.$each.$$p = function() {\n        var param = $$($nesting, 'Opal').$destructure(arguments),\n            value = Opal.yield1(block, param);\n\n        if (result === undefined) {\n          result = param;\n          by     = value;\n          return;\n        }\n\n        if ((value)['$<=>'](by) < 0) {\n          result = param\n          by     = value;\n        }\n      };\n\n      self.$each();\n\n      return result === undefined ? nil : result;\n    ;\n    }, TMP_Enumerable_min_by_64.$$arity = 0);\n    \n    Opal.def(self, '$minmax', TMP_Enumerable_minmax_66 = function $$minmax() {\n      var $a, TMP_67, self = this, $iter = TMP_Enumerable_minmax_66.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_minmax_66.$$p = null;\n      \n      block = ($truthy($a = block) ? $a : $send(self, 'proc', [], (TMP_67 = function(a, b){var self = TMP_67.$$s || this;\nif (a == null) a = nil;if (b == null) b = nil;\n      return a['$<=>'](b)}, TMP_67.$$s = self, TMP_67.$$arity = 2, TMP_67)));\n      \n      var min = nil, max = nil, first_time = true;\n\n      self.$each.$$p = function() {\n        var element = $$($nesting, 'Opal').$destructure(arguments);\n        if (first_time) {\n          min = max = element;\n          first_time = false;\n        } else {\n          var min_cmp = block.$call(min, element);\n\n          if (min_cmp === nil) {\n            self.$raise($$($nesting, 'ArgumentError'), \"comparison failed\")\n          } else if (min_cmp > 0) {\n            min = element;\n          }\n\n          var max_cmp = block.$call(max, element);\n\n          if (max_cmp === nil) {\n            self.$raise($$($nesting, 'ArgumentError'), \"comparison failed\")\n          } else if (max_cmp < 0) {\n            max = element;\n          }\n        }\n      }\n\n      self.$each();\n\n      return [min, max];\n    ;\n    }, TMP_Enumerable_minmax_66.$$arity = 0);\n    \n    Opal.def(self, '$minmax_by', TMP_Enumerable_minmax_by_68 = function $$minmax_by() {\n      var self = this, $iter = TMP_Enumerable_minmax_by_68.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_minmax_by_68.$$p = null;\n      return self.$raise($$($nesting, 'NotImplementedError'))\n    }, TMP_Enumerable_minmax_by_68.$$arity = 0);\n    \n    Opal.def(self, '$none?', TMP_Enumerable_none$q_69 = function(pattern) {try {\n\n      var TMP_70, TMP_71, TMP_72, self = this, $iter = TMP_Enumerable_none$q_69.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_none$q_69.$$p = null;\n      \n      if ($truthy(pattern !== undefined)) {\n        $send(self, 'each', [], (TMP_70 = function($a_rest){var self = TMP_70.$$s || this, value, comparable = nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          value = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            value[$arg_idx - 0] = arguments[$arg_idx];\n          }\n        \n          comparable = comparableForPattern(value);\n          if ($truthy($send(pattern, 'public_send', [\"===\"].concat(Opal.to_a(comparable))))) {\n            Opal.ret(false)\n          } else {\n            return nil\n          };}, TMP_70.$$s = self, TMP_70.$$arity = -1, TMP_70))\n      } else if ((block !== nil)) {\n        $send(self, 'each', [], (TMP_71 = function($a_rest){var self = TMP_71.$$s || this, value;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          value = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            value[$arg_idx - 0] = arguments[$arg_idx];\n          }\n        if ($truthy(Opal.yieldX(block, Opal.to_a(value)))) {\n            Opal.ret(false)\n          } else {\n            return nil\n          }}, TMP_71.$$s = self, TMP_71.$$arity = -1, TMP_71))\n      } else {\n        $send(self, 'each', [], (TMP_72 = function($a_rest){var self = TMP_72.$$s || this, value, item = nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          value = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            value[$arg_idx - 0] = arguments[$arg_idx];\n          }\n        \n          item = $$($nesting, 'Opal').$destructure(value);\n          if ($truthy(item)) {\n            Opal.ret(false)\n          } else {\n            return nil\n          };}, TMP_72.$$s = self, TMP_72.$$arity = -1, TMP_72))\n      };\n      return true;\n      } catch ($returner) { if ($returner === Opal.returner) { return $returner.$v } throw $returner; }\n    }, TMP_Enumerable_none$q_69.$$arity = -1);\n    \n    Opal.def(self, '$one?', TMP_Enumerable_one$q_73 = function(pattern) {try {\n\n      var TMP_74, TMP_75, TMP_76, self = this, $iter = TMP_Enumerable_one$q_73.$$p, block = $iter || nil, count = nil;\n\n      if ($iter) TMP_Enumerable_one$q_73.$$p = null;\n      \n      count = 0;\n      if ($truthy(pattern !== undefined)) {\n        $send(self, 'each', [], (TMP_74 = function($a_rest){var self = TMP_74.$$s || this, value, comparable = nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          value = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            value[$arg_idx - 0] = arguments[$arg_idx];\n          }\n        \n          comparable = comparableForPattern(value);\n          if ($truthy($send(pattern, 'public_send', [\"===\"].concat(Opal.to_a(comparable))))) {\n            \n            count = $rb_plus(count, 1);\n            if ($truthy($rb_gt(count, 1))) {\n              Opal.ret(false)\n            } else {\n              return nil\n            };\n          } else {\n            return nil\n          };}, TMP_74.$$s = self, TMP_74.$$arity = -1, TMP_74))\n      } else if ((block !== nil)) {\n        $send(self, 'each', [], (TMP_75 = function($a_rest){var self = TMP_75.$$s || this, value;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          value = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            value[$arg_idx - 0] = arguments[$arg_idx];\n          }\n        \n          if ($truthy(Opal.yieldX(block, Opal.to_a(value)))) {\n          } else {\n            return nil;\n          };\n          count = $rb_plus(count, 1);\n          if ($truthy($rb_gt(count, 1))) {\n            Opal.ret(false)\n          } else {\n            return nil\n          };}, TMP_75.$$s = self, TMP_75.$$arity = -1, TMP_75))\n      } else {\n        $send(self, 'each', [], (TMP_76 = function($a_rest){var self = TMP_76.$$s || this, value;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          value = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            value[$arg_idx - 0] = arguments[$arg_idx];\n          }\n        \n          if ($truthy($$($nesting, 'Opal').$destructure(value))) {\n          } else {\n            return nil;\n          };\n          count = $rb_plus(count, 1);\n          if ($truthy($rb_gt(count, 1))) {\n            Opal.ret(false)\n          } else {\n            return nil\n          };}, TMP_76.$$s = self, TMP_76.$$arity = -1, TMP_76))\n      };\n      return count['$=='](1);\n      } catch ($returner) { if ($returner === Opal.returner) { return $returner.$v } throw $returner; }\n    }, TMP_Enumerable_one$q_73.$$arity = -1);\n    \n    Opal.def(self, '$partition', TMP_Enumerable_partition_77 = function $$partition() {\n      var TMP_78, self = this, $iter = TMP_Enumerable_partition_77.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_partition_77.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"partition\"], (TMP_78 = function(){var self = TMP_78.$$s || this;\n\n        return self.$enumerator_size()}, TMP_78.$$s = self, TMP_78.$$arity = 0, TMP_78))\n      };\n      \n      var truthy = [], falsy = [], result;\n\n      self.$each.$$p = function() {\n        var param = $$($nesting, 'Opal').$destructure(arguments),\n            value = Opal.yield1(block, param);\n\n        if ($truthy(value)) {\n          truthy.push(param);\n        }\n        else {\n          falsy.push(param);\n        }\n      };\n\n      self.$each();\n\n      return [truthy, falsy];\n    ;\n    }, TMP_Enumerable_partition_77.$$arity = 0);\n    Opal.alias(self, \"reduce\", \"inject\");\n    \n    Opal.def(self, '$reject', TMP_Enumerable_reject_79 = function $$reject() {\n      var TMP_80, self = this, $iter = TMP_Enumerable_reject_79.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_reject_79.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"reject\"], (TMP_80 = function(){var self = TMP_80.$$s || this;\n\n        return self.$enumerator_size()}, TMP_80.$$s = self, TMP_80.$$arity = 0, TMP_80))\n      };\n      \n      var result = [];\n\n      self.$each.$$p = function() {\n        var param = $$($nesting, 'Opal').$destructure(arguments),\n            value = Opal.yield1(block, param);\n\n        if ($falsy(value)) {\n          result.push(param);\n        }\n      };\n\n      self.$each();\n\n      return result;\n    ;\n    }, TMP_Enumerable_reject_79.$$arity = 0);\n    \n    Opal.def(self, '$reverse_each', TMP_Enumerable_reverse_each_81 = function $$reverse_each() {\n      var TMP_82, self = this, $iter = TMP_Enumerable_reverse_each_81.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_reverse_each_81.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"reverse_each\"], (TMP_82 = function(){var self = TMP_82.$$s || this;\n\n        return self.$enumerator_size()}, TMP_82.$$s = self, TMP_82.$$arity = 0, TMP_82))\n      };\n      \n      var result = [];\n\n      self.$each.$$p = function() {\n        result.push(arguments);\n      };\n\n      self.$each();\n\n      for (var i = result.length - 1; i >= 0; i--) {\n        Opal.yieldX(block, result[i]);\n      }\n\n      return result;\n    ;\n    }, TMP_Enumerable_reverse_each_81.$$arity = 0);\n    Opal.alias(self, \"select\", \"find_all\");\n    \n    Opal.def(self, '$slice_before', TMP_Enumerable_slice_before_83 = function $$slice_before(pattern) {\n      var TMP_84, self = this, $iter = TMP_Enumerable_slice_before_83.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_slice_before_83.$$p = null;\n      \n      if ($truthy(pattern === undefined && block === nil)) {\n        self.$raise($$($nesting, 'ArgumentError'), \"both pattern and block are given\")};\n      if ($truthy(pattern !== undefined && block !== nil || arguments.length > 1)) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"wrong number of arguments (\" + (arguments.length) + \" expected 1)\")};\n      return $send($$($nesting, 'Enumerator'), 'new', [], (TMP_84 = function(e){var self = TMP_84.$$s || this;\nif (e == null) e = nil;\n      \n        var slice = [];\n\n        if (block !== nil) {\n          if (pattern === undefined) {\n            self.$each.$$p = function() {\n              var param = $$($nesting, 'Opal').$destructure(arguments),\n                  value = Opal.yield1(block, param);\n\n              if ($truthy(value) && slice.length > 0) {\n                e['$<<'](slice);\n                slice = [];\n              }\n\n              slice.push(param);\n            };\n          }\n          else {\n            self.$each.$$p = function() {\n              var param = $$($nesting, 'Opal').$destructure(arguments),\n                  value = block(param, pattern.$dup());\n\n              if ($truthy(value) && slice.length > 0) {\n                e['$<<'](slice);\n                slice = [];\n              }\n\n              slice.push(param);\n            };\n          }\n        }\n        else {\n          self.$each.$$p = function() {\n            var param = $$($nesting, 'Opal').$destructure(arguments),\n                value = pattern['$==='](param);\n\n            if ($truthy(value) && slice.length > 0) {\n              e['$<<'](slice);\n              slice = [];\n            }\n\n            slice.push(param);\n          };\n        }\n\n        self.$each();\n\n        if (slice.length > 0) {\n          e['$<<'](slice);\n        }\n      }, TMP_84.$$s = self, TMP_84.$$arity = 1, TMP_84));\n    }, TMP_Enumerable_slice_before_83.$$arity = -1);\n    \n    Opal.def(self, '$slice_after', TMP_Enumerable_slice_after_85 = function $$slice_after(pattern) {\n      var TMP_86, TMP_87, self = this, $iter = TMP_Enumerable_slice_after_85.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_slice_after_85.$$p = null;\n      \n      if ($truthy(pattern === undefined && block === nil)) {\n        self.$raise($$($nesting, 'ArgumentError'), \"both pattern and block are given\")};\n      if ($truthy(pattern !== undefined && block !== nil || arguments.length > 1)) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"wrong number of arguments (\" + (arguments.length) + \" expected 1)\")};\n      if ($truthy(pattern !== undefined)) {\n        block = $send(self, 'proc', [], (TMP_86 = function(e){var self = TMP_86.$$s || this;\nif (e == null) e = nil;\n        return pattern['$==='](e)}, TMP_86.$$s = self, TMP_86.$$arity = 1, TMP_86))};\n      return $send($$($nesting, 'Enumerator'), 'new', [], (TMP_87 = function(yielder){var self = TMP_87.$$s || this;\nif (yielder == null) yielder = nil;\n      \n        var accumulate;\n\n        self.$each.$$p = function() {\n          var element = $$($nesting, 'Opal').$destructure(arguments),\n              end_chunk = Opal.yield1(block, element);\n\n          if (accumulate == null) {\n            accumulate = [];\n          }\n\n          if ($truthy(end_chunk)) {\n            accumulate.push(element);\n            yielder.$yield(accumulate);\n            accumulate = null;\n          } else {\n            accumulate.push(element)\n          }\n        }\n\n        self.$each();\n\n        if (accumulate != null) {\n          yielder.$yield(accumulate);\n        }\n      }, TMP_87.$$s = self, TMP_87.$$arity = 1, TMP_87));\n    }, TMP_Enumerable_slice_after_85.$$arity = -1);\n    \n    Opal.def(self, '$slice_when', TMP_Enumerable_slice_when_88 = function $$slice_when() {\n      var TMP_89, self = this, $iter = TMP_Enumerable_slice_when_88.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerable_slice_when_88.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        self.$raise($$($nesting, 'ArgumentError'), \"wrong number of arguments (0 for 1)\")\n      };\n      return $send($$($nesting, 'Enumerator'), 'new', [], (TMP_89 = function(yielder){var self = TMP_89.$$s || this;\nif (yielder == null) yielder = nil;\n      \n        var slice = nil, last_after = nil;\n\n        self.$each_cons.$$p = function() {\n          var params = $$($nesting, 'Opal').$destructure(arguments),\n              before = params[0],\n              after = params[1],\n              match = Opal.yieldX(block, [before, after]);\n\n          last_after = after;\n\n          if (slice === nil) {\n            slice = [];\n          }\n\n          if ($truthy(match)) {\n            slice.push(before);\n            yielder.$yield(slice);\n            slice = [];\n          } else {\n            slice.push(before);\n          }\n        }\n\n        self.$each_cons(2);\n\n        if (slice !== nil) {\n          slice.push(last_after);\n          yielder.$yield(slice);\n        }\n      }, TMP_89.$$s = self, TMP_89.$$arity = 1, TMP_89));\n    }, TMP_Enumerable_slice_when_88.$$arity = 0);\n    \n    Opal.def(self, '$sort', TMP_Enumerable_sort_90 = function $$sort() {\n      var TMP_91, self = this, $iter = TMP_Enumerable_sort_90.$$p, block = $iter || nil, ary = nil;\n\n      if ($iter) TMP_Enumerable_sort_90.$$p = null;\n      \n      ary = self.$to_a();\n      if ((block !== nil)) {\n      } else {\n        block = $lambda((TMP_91 = function(a, b){var self = TMP_91.$$s || this;\nif (a == null) a = nil;if (b == null) b = nil;\n        return a['$<=>'](b)}, TMP_91.$$s = self, TMP_91.$$arity = 2, TMP_91))\n      };\n      return $send(ary, 'sort', [], block.$to_proc());\n    }, TMP_Enumerable_sort_90.$$arity = 0);\n    \n    Opal.def(self, '$sort_by', TMP_Enumerable_sort_by_92 = function $$sort_by() {\n      var TMP_93, TMP_94, TMP_95, TMP_96, self = this, $iter = TMP_Enumerable_sort_by_92.$$p, block = $iter || nil, dup = nil;\n\n      if ($iter) TMP_Enumerable_sort_by_92.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"sort_by\"], (TMP_93 = function(){var self = TMP_93.$$s || this;\n\n        return self.$enumerator_size()}, TMP_93.$$s = self, TMP_93.$$arity = 0, TMP_93))\n      };\n      dup = $send(self, 'map', [], (TMP_94 = function(){var self = TMP_94.$$s || this, arg = nil;\n\n      \n        arg = $$($nesting, 'Opal').$destructure(arguments);\n        return [Opal.yield1(block, arg), arg];}, TMP_94.$$s = self, TMP_94.$$arity = 0, TMP_94));\n      $send(dup, 'sort!', [], (TMP_95 = function(a, b){var self = TMP_95.$$s || this;\nif (a == null) a = nil;if (b == null) b = nil;\n      return (a[0])['$<=>'](b[0])}, TMP_95.$$s = self, TMP_95.$$arity = 2, TMP_95));\n      return $send(dup, 'map!', [], (TMP_96 = function(i){var self = TMP_96.$$s || this;\nif (i == null) i = nil;\n      return i[1];}, TMP_96.$$s = self, TMP_96.$$arity = 1, TMP_96));\n    }, TMP_Enumerable_sort_by_92.$$arity = 0);\n    \n    Opal.def(self, '$sum', TMP_Enumerable_sum_98 = function $$sum(initial) {\n      var TMP_97, self = this, $iter = TMP_Enumerable_sum_98.$$p, $yield = $iter || nil, result = nil;\n\n      if (initial == null) {\n        initial = 0;\n      }\n      if ($iter) TMP_Enumerable_sum_98.$$p = null;\n      \n      result = initial;\n      $send(self, 'each', [], (TMP_97 = function($a_rest){var self = TMP_97.$$s || this, args, item = nil;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        args = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          args[$arg_idx - 0] = arguments[$arg_idx];\n        }\n      \n        item = (function() {if (($yield !== nil)) {\n          return Opal.yieldX($yield, Opal.to_a(args));\n        } else {\n          return $$($nesting, 'Opal').$destructure(args)\n        }; return nil; })();\n        return (result = $rb_plus(result, item));}, TMP_97.$$s = self, TMP_97.$$arity = -1, TMP_97));\n      return result;\n    }, TMP_Enumerable_sum_98.$$arity = -1);\n    \n    Opal.def(self, '$take', TMP_Enumerable_take_99 = function $$take(num) {\n      var self = this;\n\n      return self.$first(num)\n    }, TMP_Enumerable_take_99.$$arity = 1);\n    \n    Opal.def(self, '$take_while', TMP_Enumerable_take_while_100 = function $$take_while() {try {\n\n      var TMP_101, self = this, $iter = TMP_Enumerable_take_while_100.$$p, block = $iter || nil, result = nil;\n\n      if ($iter) TMP_Enumerable_take_while_100.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return self.$enum_for(\"take_while\")\n      };\n      result = [];\n      return $send(self, 'each', [], (TMP_101 = function($a_rest){var self = TMP_101.$$s || this, args, value = nil;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        args = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          args[$arg_idx - 0] = arguments[$arg_idx];\n        }\n      \n        value = $$($nesting, 'Opal').$destructure(args);\n        if ($truthy(Opal.yield1(block, value))) {\n        } else {\n          Opal.ret(result)\n        };\n        return result.push(value);;}, TMP_101.$$s = self, TMP_101.$$arity = -1, TMP_101));\n      } catch ($returner) { if ($returner === Opal.returner) { return $returner.$v } throw $returner; }\n    }, TMP_Enumerable_take_while_100.$$arity = 0);\n    \n    Opal.def(self, '$uniq', TMP_Enumerable_uniq_102 = function $$uniq() {\n      var TMP_103, self = this, $iter = TMP_Enumerable_uniq_102.$$p, block = $iter || nil, hash = nil;\n\n      if ($iter) TMP_Enumerable_uniq_102.$$p = null;\n      \n      hash = $hash2([], {});\n      $send(self, 'each', [], (TMP_103 = function($a_rest){var self = TMP_103.$$s || this, args, value = nil, produced = nil, $writer = nil;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        args = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          args[$arg_idx - 0] = arguments[$arg_idx];\n        }\n      \n        value = $$($nesting, 'Opal').$destructure(args);\n        produced = (function() {if ((block !== nil)) {\n          return Opal.yield1(block, value);\n        } else {\n          return value\n        }; return nil; })();\n        if ($truthy(hash['$key?'](produced))) {\n          return nil\n        } else {\n          \n          $writer = [produced, value];\n          $send(hash, '[]=', Opal.to_a($writer));\n          return $writer[$rb_minus($writer[\"length\"], 1)];\n        };}, TMP_103.$$s = self, TMP_103.$$arity = -1, TMP_103));\n      return hash.$values();\n    }, TMP_Enumerable_uniq_102.$$arity = 0);\n    Opal.alias(self, \"to_a\", \"entries\");\n    \n    Opal.def(self, '$zip', TMP_Enumerable_zip_104 = function $$zip($a_rest) {\n      var self = this, others, $iter = TMP_Enumerable_zip_104.$$p, block = $iter || nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      others = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        others[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Enumerable_zip_104.$$p = null;\n      return $send(self.$to_a(), 'zip', Opal.to_a(others))\n    }, TMP_Enumerable_zip_104.$$arity = -1);\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/enumerator\"] = function(Opal) {\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy, $send = Opal.send, $falsy = Opal.falsy;\n\n  Opal.add_stubs(['$require', '$include', '$allocate', '$new', '$to_proc', '$coerce_to', '$nil?', '$empty?', '$+', '$class', '$__send__', '$===', '$call', '$enum_for', '$size', '$destructure', '$inspect', '$any?', '$[]', '$raise', '$yield', '$each', '$enumerator_size', '$respond_to?', '$try_convert', '$<', '$for']);\n  \n  self.$require(\"corelib/enumerable\");\n  return (function($base, $super, $parent_nesting) {\n    function $Enumerator(){};\n    var self = $Enumerator = $klass($base, $super, 'Enumerator', $Enumerator);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Enumerator_for_1, TMP_Enumerator_initialize_2, TMP_Enumerator_each_3, TMP_Enumerator_size_4, TMP_Enumerator_with_index_5, TMP_Enumerator_inspect_7;\n\n    def.size = def.args = def.object = def.method = nil;\n    \n    self.$include($$($nesting, 'Enumerable'));\n    def.$$is_enumerator = true;\n    Opal.defs(self, '$for', TMP_Enumerator_for_1 = function(object, method, $a_rest) {\n      var self = this, args, $iter = TMP_Enumerator_for_1.$$p, block = $iter || nil;\n\n      if (method == null) {\n        method = \"each\";\n      }\n      var $args_len = arguments.length, $rest_len = $args_len - 2;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 2; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 2] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Enumerator_for_1.$$p = null;\n      \n      var obj = self.$allocate();\n\n      obj.object = object;\n      obj.size   = block;\n      obj.method = method;\n      obj.args   = args;\n\n      return obj;\n    \n    }, TMP_Enumerator_for_1.$$arity = -2);\n    \n    Opal.def(self, '$initialize', TMP_Enumerator_initialize_2 = function $$initialize($a_rest) {\n      var self = this, $iter = TMP_Enumerator_initialize_2.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Enumerator_initialize_2.$$p = null;\n      if ($truthy(block)) {\n        \n        self.object = $send($$($nesting, 'Generator'), 'new', [], block.$to_proc());\n        self.method = \"each\";\n        self.args = [];\n        self.size = arguments[0] || nil;\n        if ($truthy(self.size)) {\n          return (self.size = $$($nesting, 'Opal').$coerce_to(self.size, $$($nesting, 'Integer'), \"to_int\"))\n        } else {\n          return nil\n        };\n      } else {\n        \n        self.object = arguments[0];\n        self.method = arguments[1] || \"each\";\n        self.args = $slice.call(arguments, 2);\n        return (self.size = nil);\n      }\n    }, TMP_Enumerator_initialize_2.$$arity = -1);\n    \n    Opal.def(self, '$each', TMP_Enumerator_each_3 = function $$each($a_rest) {\n      var $b, self = this, args, $iter = TMP_Enumerator_each_3.$$p, block = $iter || nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Enumerator_each_3.$$p = null;\n      \n      if ($truthy(($truthy($b = block['$nil?']()) ? args['$empty?']() : $b))) {\n        return self};\n      args = $rb_plus(self.args, args);\n      if ($truthy(block['$nil?']())) {\n        return $send(self.$class(), 'new', [self.object, self.method].concat(Opal.to_a(args)))};\n      return $send(self.object, '__send__', [self.method].concat(Opal.to_a(args)), block.$to_proc());\n    }, TMP_Enumerator_each_3.$$arity = -1);\n    \n    Opal.def(self, '$size', TMP_Enumerator_size_4 = function $$size() {\n      var self = this;\n\n      if ($truthy($$($nesting, 'Proc')['$==='](self.size))) {\n        return $send(self.size, 'call', Opal.to_a(self.args))\n      } else {\n        return self.size\n      }\n    }, TMP_Enumerator_size_4.$$arity = 0);\n    \n    Opal.def(self, '$with_index', TMP_Enumerator_with_index_5 = function $$with_index(offset) {\n      var TMP_6, self = this, $iter = TMP_Enumerator_with_index_5.$$p, block = $iter || nil;\n\n      if (offset == null) {\n        offset = 0;\n      }\n      if ($iter) TMP_Enumerator_with_index_5.$$p = null;\n      \n      offset = (function() {if ($truthy(offset)) {\n        return $$($nesting, 'Opal').$coerce_to(offset, $$($nesting, 'Integer'), \"to_int\")\n      } else {\n        return 0\n      }; return nil; })();\n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"with_index\", offset], (TMP_6 = function(){var self = TMP_6.$$s || this;\n\n        return self.$size()}, TMP_6.$$s = self, TMP_6.$$arity = 0, TMP_6))\n      };\n      \n      var result, index = offset;\n\n      self.$each.$$p = function() {\n        var param = $$($nesting, 'Opal').$destructure(arguments),\n            value = block(param, index);\n\n        index++;\n\n        return value;\n      }\n\n      return self.$each();\n    ;\n    }, TMP_Enumerator_with_index_5.$$arity = -1);\n    Opal.alias(self, \"with_object\", \"each_with_object\");\n    \n    Opal.def(self, '$inspect', TMP_Enumerator_inspect_7 = function $$inspect() {\n      var self = this, result = nil;\n\n      \n      result = \"\" + \"#<\" + (self.$class()) + \": \" + (self.object.$inspect()) + \":\" + (self.method);\n      if ($truthy(self.args['$any?']())) {\n        result = $rb_plus(result, \"\" + \"(\" + (self.args.$inspect()['$[]']($$($nesting, 'Range').$new(1, -2))) + \")\")};\n      return $rb_plus(result, \">\");\n    }, TMP_Enumerator_inspect_7.$$arity = 0);\n    (function($base, $super, $parent_nesting) {\n      function $Generator(){};\n      var self = $Generator = $klass($base, $super, 'Generator', $Generator);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Generator_initialize_8, TMP_Generator_each_9;\n\n      def.block = nil;\n      \n      self.$include($$($nesting, 'Enumerable'));\n      \n      Opal.def(self, '$initialize', TMP_Generator_initialize_8 = function $$initialize() {\n        var self = this, $iter = TMP_Generator_initialize_8.$$p, block = $iter || nil;\n\n        if ($iter) TMP_Generator_initialize_8.$$p = null;\n        \n        if ($truthy(block)) {\n        } else {\n          self.$raise($$($nesting, 'LocalJumpError'), \"no block given\")\n        };\n        return (self.block = block);\n      }, TMP_Generator_initialize_8.$$arity = 0);\n      return (Opal.def(self, '$each', TMP_Generator_each_9 = function $$each($a_rest) {\n        var self = this, args, $iter = TMP_Generator_each_9.$$p, block = $iter || nil, yielder = nil;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        args = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          args[$arg_idx - 0] = arguments[$arg_idx];\n        }\n        if ($iter) TMP_Generator_each_9.$$p = null;\n        \n        yielder = $send($$($nesting, 'Yielder'), 'new', [], block.$to_proc());\n        \n        try {\n          args.unshift(yielder);\n\n          Opal.yieldX(self.block, args);\n        }\n        catch (e) {\n          if (e === $breaker) {\n            return $breaker.$v;\n          }\n          else {\n            throw e;\n          }\n        }\n      ;\n        return self;\n      }, TMP_Generator_each_9.$$arity = -1), nil) && 'each';\n    })($nesting[0], null, $nesting);\n    (function($base, $super, $parent_nesting) {\n      function $Yielder(){};\n      var self = $Yielder = $klass($base, $super, 'Yielder', $Yielder);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Yielder_initialize_10, TMP_Yielder_yield_11, TMP_Yielder_$lt$lt_12;\n\n      def.block = nil;\n      \n      \n      Opal.def(self, '$initialize', TMP_Yielder_initialize_10 = function $$initialize() {\n        var self = this, $iter = TMP_Yielder_initialize_10.$$p, block = $iter || nil;\n\n        if ($iter) TMP_Yielder_initialize_10.$$p = null;\n        return (self.block = block)\n      }, TMP_Yielder_initialize_10.$$arity = 0);\n      \n      Opal.def(self, '$yield', TMP_Yielder_yield_11 = function($a_rest) {\n        var self = this, values;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        values = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          values[$arg_idx - 0] = arguments[$arg_idx];\n        }\n        \n        var value = Opal.yieldX(self.block, values);\n\n        if (value === $breaker) {\n          throw $breaker;\n        }\n\n        return value;\n      \n      }, TMP_Yielder_yield_11.$$arity = -1);\n      return (Opal.def(self, '$<<', TMP_Yielder_$lt$lt_12 = function($a_rest) {\n        var self = this, values;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        values = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          values[$arg_idx - 0] = arguments[$arg_idx];\n        }\n        \n        $send(self, 'yield', Opal.to_a(values));\n        return self;\n      }, TMP_Yielder_$lt$lt_12.$$arity = -1), nil) && '<<';\n    })($nesting[0], null, $nesting);\n    return (function($base, $super, $parent_nesting) {\n      function $Lazy(){};\n      var self = $Lazy = $klass($base, $super, 'Lazy', $Lazy);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Lazy_initialize_13, TMP_Lazy_lazy_16, TMP_Lazy_collect_17, TMP_Lazy_collect_concat_19, TMP_Lazy_drop_24, TMP_Lazy_drop_while_25, TMP_Lazy_enum_for_27, TMP_Lazy_find_all_28, TMP_Lazy_grep_30, TMP_Lazy_reject_33, TMP_Lazy_take_36, TMP_Lazy_take_while_37, TMP_Lazy_inspect_39;\n\n      def.enumerator = nil;\n      \n      (function($base, $super, $parent_nesting) {\n        function $StopLazyError(){};\n        var self = $StopLazyError = $klass($base, $super, 'StopLazyError', $StopLazyError);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n        return nil\n      })($nesting[0], $$($nesting, 'Exception'), $nesting);\n      \n      Opal.def(self, '$initialize', TMP_Lazy_initialize_13 = function $$initialize(object, size) {\n        var TMP_14, self = this, $iter = TMP_Lazy_initialize_13.$$p, block = $iter || nil;\n\n        if (size == null) {\n          size = nil;\n        }\n        if ($iter) TMP_Lazy_initialize_13.$$p = null;\n        \n        if ((block !== nil)) {\n        } else {\n          self.$raise($$($nesting, 'ArgumentError'), \"tried to call lazy new without a block\")\n        };\n        self.enumerator = object;\n        return $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_Lazy_initialize_13, false), [size], (TMP_14 = function(yielder, $a_rest){var self = TMP_14.$$s || this, each_args, TMP_15;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 1;\n          if ($rest_len < 0) { $rest_len = 0; }\n          each_args = new Array($rest_len);\n          for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n            each_args[$arg_idx - 1] = arguments[$arg_idx];\n          }if (yielder == null) yielder = nil;\n        try {\n            return $send(object, 'each', Opal.to_a(each_args), (TMP_15 = function($a_rest){var self = TMP_15.$$s || this, args;\n\n              var $args_len = arguments.length, $rest_len = $args_len - 0;\n              if ($rest_len < 0) { $rest_len = 0; }\n              args = new Array($rest_len);\n              for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n                args[$arg_idx - 0] = arguments[$arg_idx];\n              }\n            \n            args.unshift(yielder);\n\n            Opal.yieldX(block, args);\n          }, TMP_15.$$s = self, TMP_15.$$arity = -1, TMP_15))\n          } catch ($err) {\n            if (Opal.rescue($err, [$$($nesting, 'Exception')])) {\n              try {\n                return nil\n              } finally { Opal.pop_exception() }\n            } else { throw $err; }\n          }}, TMP_14.$$s = self, TMP_14.$$arity = -2, TMP_14));\n      }, TMP_Lazy_initialize_13.$$arity = -2);\n      Opal.alias(self, \"force\", \"to_a\");\n      \n      Opal.def(self, '$lazy', TMP_Lazy_lazy_16 = function $$lazy() {\n        var self = this;\n\n        return self\n      }, TMP_Lazy_lazy_16.$$arity = 0);\n      \n      Opal.def(self, '$collect', TMP_Lazy_collect_17 = function $$collect() {\n        var TMP_18, self = this, $iter = TMP_Lazy_collect_17.$$p, block = $iter || nil;\n\n        if ($iter) TMP_Lazy_collect_17.$$p = null;\n        \n        if ($truthy(block)) {\n        } else {\n          self.$raise($$($nesting, 'ArgumentError'), \"tried to call lazy map without a block\")\n        };\n        return $send($$($nesting, 'Lazy'), 'new', [self, self.$enumerator_size()], (TMP_18 = function(enum$, $a_rest){var self = TMP_18.$$s || this, args;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 1;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 1] = arguments[$arg_idx];\n          }if (enum$ == null) enum$ = nil;\n        \n          var value = Opal.yieldX(block, args);\n\n          enum$.$yield(value);\n        }, TMP_18.$$s = self, TMP_18.$$arity = -2, TMP_18));\n      }, TMP_Lazy_collect_17.$$arity = 0);\n      \n      Opal.def(self, '$collect_concat', TMP_Lazy_collect_concat_19 = function $$collect_concat() {\n        var TMP_20, self = this, $iter = TMP_Lazy_collect_concat_19.$$p, block = $iter || nil;\n\n        if ($iter) TMP_Lazy_collect_concat_19.$$p = null;\n        \n        if ($truthy(block)) {\n        } else {\n          self.$raise($$($nesting, 'ArgumentError'), \"tried to call lazy map without a block\")\n        };\n        return $send($$($nesting, 'Lazy'), 'new', [self, nil], (TMP_20 = function(enum$, $a_rest){var self = TMP_20.$$s || this, args, TMP_21, TMP_22;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 1;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 1] = arguments[$arg_idx];\n          }if (enum$ == null) enum$ = nil;\n        \n          var value = Opal.yieldX(block, args);\n\n          if ((value)['$respond_to?'](\"force\") && (value)['$respond_to?'](\"each\")) {\n            $send((value), 'each', [], (TMP_21 = function(v){var self = TMP_21.$$s || this;\nif (v == null) v = nil;\n          return enum$.$yield(v)}, TMP_21.$$s = self, TMP_21.$$arity = 1, TMP_21))\n          }\n          else {\n            var array = $$($nesting, 'Opal').$try_convert(value, $$($nesting, 'Array'), \"to_ary\");\n\n            if (array === nil) {\n              enum$.$yield(value);\n            }\n            else {\n              $send((value), 'each', [], (TMP_22 = function(v){var self = TMP_22.$$s || this;\nif (v == null) v = nil;\n          return enum$.$yield(v)}, TMP_22.$$s = self, TMP_22.$$arity = 1, TMP_22));\n            }\n          }\n        }, TMP_20.$$s = self, TMP_20.$$arity = -2, TMP_20));\n      }, TMP_Lazy_collect_concat_19.$$arity = 0);\n      \n      Opal.def(self, '$drop', TMP_Lazy_drop_24 = function $$drop(n) {\n        var TMP_23, self = this, current_size = nil, set_size = nil, dropped = nil;\n\n        \n        n = $$($nesting, 'Opal').$coerce_to(n, $$($nesting, 'Integer'), \"to_int\");\n        if ($truthy($rb_lt(n, 0))) {\n          self.$raise($$($nesting, 'ArgumentError'), \"attempt to drop negative size\")};\n        current_size = self.$enumerator_size();\n        set_size = (function() {if ($truthy($$($nesting, 'Integer')['$==='](current_size))) {\n          if ($truthy($rb_lt(n, current_size))) {\n            return n\n          } else {\n            return current_size\n          }\n        } else {\n          return current_size\n        }; return nil; })();\n        dropped = 0;\n        return $send($$($nesting, 'Lazy'), 'new', [self, set_size], (TMP_23 = function(enum$, $a_rest){var self = TMP_23.$$s || this, args;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 1;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 1] = arguments[$arg_idx];\n          }if (enum$ == null) enum$ = nil;\n        if ($truthy($rb_lt(dropped, n))) {\n            return (dropped = $rb_plus(dropped, 1))\n          } else {\n            return $send(enum$, 'yield', Opal.to_a(args))\n          }}, TMP_23.$$s = self, TMP_23.$$arity = -2, TMP_23));\n      }, TMP_Lazy_drop_24.$$arity = 1);\n      \n      Opal.def(self, '$drop_while', TMP_Lazy_drop_while_25 = function $$drop_while() {\n        var TMP_26, self = this, $iter = TMP_Lazy_drop_while_25.$$p, block = $iter || nil, succeeding = nil;\n\n        if ($iter) TMP_Lazy_drop_while_25.$$p = null;\n        \n        if ($truthy(block)) {\n        } else {\n          self.$raise($$($nesting, 'ArgumentError'), \"tried to call lazy drop_while without a block\")\n        };\n        succeeding = true;\n        return $send($$($nesting, 'Lazy'), 'new', [self, nil], (TMP_26 = function(enum$, $a_rest){var self = TMP_26.$$s || this, args;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 1;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 1] = arguments[$arg_idx];\n          }if (enum$ == null) enum$ = nil;\n        if ($truthy(succeeding)) {\n            \n            var value = Opal.yieldX(block, args);\n\n            if ($falsy(value)) {\n              succeeding = false;\n\n              $send(enum$, 'yield', Opal.to_a(args));\n            }\n          \n          } else {\n            return $send(enum$, 'yield', Opal.to_a(args))\n          }}, TMP_26.$$s = self, TMP_26.$$arity = -2, TMP_26));\n      }, TMP_Lazy_drop_while_25.$$arity = 0);\n      \n      Opal.def(self, '$enum_for', TMP_Lazy_enum_for_27 = function $$enum_for(method, $a_rest) {\n        var self = this, args, $iter = TMP_Lazy_enum_for_27.$$p, block = $iter || nil;\n\n        if (method == null) {\n          method = \"each\";\n        }\n        var $args_len = arguments.length, $rest_len = $args_len - 1;\n        if ($rest_len < 0) { $rest_len = 0; }\n        args = new Array($rest_len);\n        for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n          args[$arg_idx - 1] = arguments[$arg_idx];\n        }\n        if ($iter) TMP_Lazy_enum_for_27.$$p = null;\n        return $send(self.$class(), 'for', [self, method].concat(Opal.to_a(args)), block.$to_proc())\n      }, TMP_Lazy_enum_for_27.$$arity = -1);\n      \n      Opal.def(self, '$find_all', TMP_Lazy_find_all_28 = function $$find_all() {\n        var TMP_29, self = this, $iter = TMP_Lazy_find_all_28.$$p, block = $iter || nil;\n\n        if ($iter) TMP_Lazy_find_all_28.$$p = null;\n        \n        if ($truthy(block)) {\n        } else {\n          self.$raise($$($nesting, 'ArgumentError'), \"tried to call lazy select without a block\")\n        };\n        return $send($$($nesting, 'Lazy'), 'new', [self, nil], (TMP_29 = function(enum$, $a_rest){var self = TMP_29.$$s || this, args;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 1;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 1] = arguments[$arg_idx];\n          }if (enum$ == null) enum$ = nil;\n        \n          var value = Opal.yieldX(block, args);\n\n          if ($truthy(value)) {\n            $send(enum$, 'yield', Opal.to_a(args));\n          }\n        }, TMP_29.$$s = self, TMP_29.$$arity = -2, TMP_29));\n      }, TMP_Lazy_find_all_28.$$arity = 0);\n      Opal.alias(self, \"flat_map\", \"collect_concat\");\n      \n      Opal.def(self, '$grep', TMP_Lazy_grep_30 = function $$grep(pattern) {\n        var TMP_31, TMP_32, self = this, $iter = TMP_Lazy_grep_30.$$p, block = $iter || nil;\n\n        if ($iter) TMP_Lazy_grep_30.$$p = null;\n        if ($truthy(block)) {\n          return $send($$($nesting, 'Lazy'), 'new', [self, nil], (TMP_31 = function(enum$, $a_rest){var self = TMP_31.$$s || this, args;\n\n            var $args_len = arguments.length, $rest_len = $args_len - 1;\n            if ($rest_len < 0) { $rest_len = 0; }\n            args = new Array($rest_len);\n            for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n              args[$arg_idx - 1] = arguments[$arg_idx];\n            }if (enum$ == null) enum$ = nil;\n          \n            var param = $$($nesting, 'Opal').$destructure(args),\n                value = pattern['$==='](param);\n\n            if ($truthy(value)) {\n              value = Opal.yield1(block, param);\n\n              enum$.$yield(Opal.yield1(block, param));\n            }\n          }, TMP_31.$$s = self, TMP_31.$$arity = -2, TMP_31))\n        } else {\n          return $send($$($nesting, 'Lazy'), 'new', [self, nil], (TMP_32 = function(enum$, $a_rest){var self = TMP_32.$$s || this, args;\n\n            var $args_len = arguments.length, $rest_len = $args_len - 1;\n            if ($rest_len < 0) { $rest_len = 0; }\n            args = new Array($rest_len);\n            for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n              args[$arg_idx - 1] = arguments[$arg_idx];\n            }if (enum$ == null) enum$ = nil;\n          \n            var param = $$($nesting, 'Opal').$destructure(args),\n                value = pattern['$==='](param);\n\n            if ($truthy(value)) {\n              enum$.$yield(param);\n            }\n          }, TMP_32.$$s = self, TMP_32.$$arity = -2, TMP_32))\n        }\n      }, TMP_Lazy_grep_30.$$arity = 1);\n      Opal.alias(self, \"map\", \"collect\");\n      Opal.alias(self, \"select\", \"find_all\");\n      \n      Opal.def(self, '$reject', TMP_Lazy_reject_33 = function $$reject() {\n        var TMP_34, self = this, $iter = TMP_Lazy_reject_33.$$p, block = $iter || nil;\n\n        if ($iter) TMP_Lazy_reject_33.$$p = null;\n        \n        if ($truthy(block)) {\n        } else {\n          self.$raise($$($nesting, 'ArgumentError'), \"tried to call lazy reject without a block\")\n        };\n        return $send($$($nesting, 'Lazy'), 'new', [self, nil], (TMP_34 = function(enum$, $a_rest){var self = TMP_34.$$s || this, args;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 1;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 1] = arguments[$arg_idx];\n          }if (enum$ == null) enum$ = nil;\n        \n          var value = Opal.yieldX(block, args);\n\n          if ($falsy(value)) {\n            $send(enum$, 'yield', Opal.to_a(args));\n          }\n        }, TMP_34.$$s = self, TMP_34.$$arity = -2, TMP_34));\n      }, TMP_Lazy_reject_33.$$arity = 0);\n      \n      Opal.def(self, '$take', TMP_Lazy_take_36 = function $$take(n) {\n        var TMP_35, self = this, current_size = nil, set_size = nil, taken = nil;\n\n        \n        n = $$($nesting, 'Opal').$coerce_to(n, $$($nesting, 'Integer'), \"to_int\");\n        if ($truthy($rb_lt(n, 0))) {\n          self.$raise($$($nesting, 'ArgumentError'), \"attempt to take negative size\")};\n        current_size = self.$enumerator_size();\n        set_size = (function() {if ($truthy($$($nesting, 'Integer')['$==='](current_size))) {\n          if ($truthy($rb_lt(n, current_size))) {\n            return n\n          } else {\n            return current_size\n          }\n        } else {\n          return current_size\n        }; return nil; })();\n        taken = 0;\n        return $send($$($nesting, 'Lazy'), 'new', [self, set_size], (TMP_35 = function(enum$, $a_rest){var self = TMP_35.$$s || this, args;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 1;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 1] = arguments[$arg_idx];\n          }if (enum$ == null) enum$ = nil;\n        if ($truthy($rb_lt(taken, n))) {\n            \n            $send(enum$, 'yield', Opal.to_a(args));\n            return (taken = $rb_plus(taken, 1));\n          } else {\n            return self.$raise($$($nesting, 'StopLazyError'))\n          }}, TMP_35.$$s = self, TMP_35.$$arity = -2, TMP_35));\n      }, TMP_Lazy_take_36.$$arity = 1);\n      \n      Opal.def(self, '$take_while', TMP_Lazy_take_while_37 = function $$take_while() {\n        var TMP_38, self = this, $iter = TMP_Lazy_take_while_37.$$p, block = $iter || nil;\n\n        if ($iter) TMP_Lazy_take_while_37.$$p = null;\n        \n        if ($truthy(block)) {\n        } else {\n          self.$raise($$($nesting, 'ArgumentError'), \"tried to call lazy take_while without a block\")\n        };\n        return $send($$($nesting, 'Lazy'), 'new', [self, nil], (TMP_38 = function(enum$, $a_rest){var self = TMP_38.$$s || this, args;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 1;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 1] = arguments[$arg_idx];\n          }if (enum$ == null) enum$ = nil;\n        \n          var value = Opal.yieldX(block, args);\n\n          if ($truthy(value)) {\n            $send(enum$, 'yield', Opal.to_a(args));\n          }\n          else {\n            self.$raise($$($nesting, 'StopLazyError'));\n          }\n        }, TMP_38.$$s = self, TMP_38.$$arity = -2, TMP_38));\n      }, TMP_Lazy_take_while_37.$$arity = 0);\n      Opal.alias(self, \"to_enum\", \"enum_for\");\n      return (Opal.def(self, '$inspect', TMP_Lazy_inspect_39 = function $$inspect() {\n        var self = this;\n\n        return \"\" + \"#<\" + (self.$class()) + \": \" + (self.enumerator.$inspect()) + \">\"\n      }, TMP_Lazy_inspect_39.$$arity = 0), nil) && 'inspect';\n    })($nesting[0], self, $nesting);\n  })($nesting[0], null, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/numeric\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  function $rb_divide(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs / rhs : lhs['$/'](rhs);\n  }\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy, $hash2 = Opal.hash2;\n\n  Opal.add_stubs(['$require', '$include', '$instance_of?', '$class', '$Float', '$respond_to?', '$coerce', '$__send__', '$===', '$raise', '$equal?', '$-', '$*', '$div', '$<', '$-@', '$ceil', '$to_f', '$denominator', '$to_r', '$==', '$floor', '$/', '$%', '$Complex', '$zero?', '$numerator', '$abs', '$arg', '$coerce_to!', '$round', '$to_i', '$truncate', '$>']);\n  \n  self.$require(\"corelib/comparable\");\n  return (function($base, $super, $parent_nesting) {\n    function $Numeric(){};\n    var self = $Numeric = $klass($base, $super, 'Numeric', $Numeric);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Numeric_coerce_1, TMP_Numeric___coerced___2, TMP_Numeric_$lt$eq$gt_3, TMP_Numeric_$$_4, TMP_Numeric_$$_5, TMP_Numeric_$_6, TMP_Numeric_abs_7, TMP_Numeric_abs2_8, TMP_Numeric_angle_9, TMP_Numeric_ceil_10, TMP_Numeric_conj_11, TMP_Numeric_denominator_12, TMP_Numeric_div_13, TMP_Numeric_divmod_14, TMP_Numeric_fdiv_15, TMP_Numeric_floor_16, TMP_Numeric_i_17, TMP_Numeric_imag_18, TMP_Numeric_integer$q_19, TMP_Numeric_nonzero$q_20, TMP_Numeric_numerator_21, TMP_Numeric_polar_22, TMP_Numeric_quo_23, TMP_Numeric_real_24, TMP_Numeric_real$q_25, TMP_Numeric_rect_26, TMP_Numeric_round_27, TMP_Numeric_to_c_28, TMP_Numeric_to_int_29, TMP_Numeric_truncate_30, TMP_Numeric_zero$q_31, TMP_Numeric_positive$q_32, TMP_Numeric_negative$q_33, TMP_Numeric_dup_34, TMP_Numeric_clone_35, TMP_Numeric_finite$q_36, TMP_Numeric_infinite$q_37;\n\n    \n    self.$include($$($nesting, 'Comparable'));\n    \n    Opal.def(self, '$coerce', TMP_Numeric_coerce_1 = function $$coerce(other) {\n      var self = this;\n\n      \n      if ($truthy(other['$instance_of?'](self.$class()))) {\n        return [other, self]};\n      return [self.$Float(other), self.$Float(self)];\n    }, TMP_Numeric_coerce_1.$$arity = 1);\n    \n    Opal.def(self, '$__coerced__', TMP_Numeric___coerced___2 = function $$__coerced__(method, other) {\n      var $a, $b, self = this, a = nil, b = nil, $case = nil;\n\n      if ($truthy(other['$respond_to?'](\"coerce\"))) {\n        \n        $b = other.$coerce(self), $a = Opal.to_ary($b), (a = ($a[0] == null ? nil : $a[0])), (b = ($a[1] == null ? nil : $a[1])), $b;\n        return a.$__send__(method, b);\n      } else {\n        return (function() {$case = method;\n        if (\"+\"['$===']($case) || \"-\"['$===']($case) || \"*\"['$===']($case) || \"/\"['$===']($case) || \"%\"['$===']($case) || \"&\"['$===']($case) || \"|\"['$===']($case) || \"^\"['$===']($case) || \"**\"['$===']($case)) {return self.$raise($$($nesting, 'TypeError'), \"\" + (other.$class()) + \" can't be coerced into Numeric\")}\n        else if (\">\"['$===']($case) || \">=\"['$===']($case) || \"<\"['$===']($case) || \"<=\"['$===']($case) || \"<=>\"['$===']($case)) {return self.$raise($$($nesting, 'ArgumentError'), \"\" + \"comparison of \" + (self.$class()) + \" with \" + (other.$class()) + \" failed\")}\n        else { return nil }})()\n      }\n    }, TMP_Numeric___coerced___2.$$arity = 2);\n    \n    Opal.def(self, '$<=>', TMP_Numeric_$lt$eq$gt_3 = function(other) {\n      var self = this;\n\n      \n      if ($truthy(self['$equal?'](other))) {\n        return 0};\n      return nil;\n    }, TMP_Numeric_$lt$eq$gt_3.$$arity = 1);\n    \n    Opal.def(self, '$+@', TMP_Numeric_$$_4 = function() {\n      var self = this;\n\n      return self\n    }, TMP_Numeric_$$_4.$$arity = 0);\n    \n    Opal.def(self, '$-@', TMP_Numeric_$$_5 = function() {\n      var self = this;\n\n      return $rb_minus(0, self)\n    }, TMP_Numeric_$$_5.$$arity = 0);\n    \n    Opal.def(self, '$%', TMP_Numeric_$_6 = function(other) {\n      var self = this;\n\n      return $rb_minus(self, $rb_times(other, self.$div(other)))\n    }, TMP_Numeric_$_6.$$arity = 1);\n    \n    Opal.def(self, '$abs', TMP_Numeric_abs_7 = function $$abs() {\n      var self = this;\n\n      if ($rb_lt(self, 0)) {\n        return self['$-@']()\n      } else {\n        return self\n      }\n    }, TMP_Numeric_abs_7.$$arity = 0);\n    \n    Opal.def(self, '$abs2', TMP_Numeric_abs2_8 = function $$abs2() {\n      var self = this;\n\n      return $rb_times(self, self)\n    }, TMP_Numeric_abs2_8.$$arity = 0);\n    \n    Opal.def(self, '$angle', TMP_Numeric_angle_9 = function $$angle() {\n      var self = this;\n\n      if ($rb_lt(self, 0)) {\n        return $$$($$($nesting, 'Math'), 'PI')\n      } else {\n        return 0\n      }\n    }, TMP_Numeric_angle_9.$$arity = 0);\n    Opal.alias(self, \"arg\", \"angle\");\n    \n    Opal.def(self, '$ceil', TMP_Numeric_ceil_10 = function $$ceil(ndigits) {\n      var self = this;\n\n      if (ndigits == null) {\n        ndigits = 0;\n      }\n      return self.$to_f().$ceil(ndigits)\n    }, TMP_Numeric_ceil_10.$$arity = -1);\n    \n    Opal.def(self, '$conj', TMP_Numeric_conj_11 = function $$conj() {\n      var self = this;\n\n      return self\n    }, TMP_Numeric_conj_11.$$arity = 0);\n    Opal.alias(self, \"conjugate\", \"conj\");\n    \n    Opal.def(self, '$denominator', TMP_Numeric_denominator_12 = function $$denominator() {\n      var self = this;\n\n      return self.$to_r().$denominator()\n    }, TMP_Numeric_denominator_12.$$arity = 0);\n    \n    Opal.def(self, '$div', TMP_Numeric_div_13 = function $$div(other) {\n      var self = this;\n\n      \n      if (other['$=='](0)) {\n        self.$raise($$($nesting, 'ZeroDivisionError'), \"divided by o\")};\n      return $rb_divide(self, other).$floor();\n    }, TMP_Numeric_div_13.$$arity = 1);\n    \n    Opal.def(self, '$divmod', TMP_Numeric_divmod_14 = function $$divmod(other) {\n      var self = this;\n\n      return [self.$div(other), self['$%'](other)]\n    }, TMP_Numeric_divmod_14.$$arity = 1);\n    \n    Opal.def(self, '$fdiv', TMP_Numeric_fdiv_15 = function $$fdiv(other) {\n      var self = this;\n\n      return $rb_divide(self.$to_f(), other)\n    }, TMP_Numeric_fdiv_15.$$arity = 1);\n    \n    Opal.def(self, '$floor', TMP_Numeric_floor_16 = function $$floor(ndigits) {\n      var self = this;\n\n      if (ndigits == null) {\n        ndigits = 0;\n      }\n      return self.$to_f().$floor(ndigits)\n    }, TMP_Numeric_floor_16.$$arity = -1);\n    \n    Opal.def(self, '$i', TMP_Numeric_i_17 = function $$i() {\n      var self = this;\n\n      return self.$Complex(0, self)\n    }, TMP_Numeric_i_17.$$arity = 0);\n    \n    Opal.def(self, '$imag', TMP_Numeric_imag_18 = function $$imag() {\n      var self = this;\n\n      return 0\n    }, TMP_Numeric_imag_18.$$arity = 0);\n    Opal.alias(self, \"imaginary\", \"imag\");\n    \n    Opal.def(self, '$integer?', TMP_Numeric_integer$q_19 = function() {\n      var self = this;\n\n      return false\n    }, TMP_Numeric_integer$q_19.$$arity = 0);\n    Opal.alias(self, \"magnitude\", \"abs\");\n    Opal.alias(self, \"modulo\", \"%\");\n    \n    Opal.def(self, '$nonzero?', TMP_Numeric_nonzero$q_20 = function() {\n      var self = this;\n\n      if ($truthy(self['$zero?']())) {\n        return nil\n      } else {\n        return self\n      }\n    }, TMP_Numeric_nonzero$q_20.$$arity = 0);\n    \n    Opal.def(self, '$numerator', TMP_Numeric_numerator_21 = function $$numerator() {\n      var self = this;\n\n      return self.$to_r().$numerator()\n    }, TMP_Numeric_numerator_21.$$arity = 0);\n    Opal.alias(self, \"phase\", \"arg\");\n    \n    Opal.def(self, '$polar', TMP_Numeric_polar_22 = function $$polar() {\n      var self = this;\n\n      return [self.$abs(), self.$arg()]\n    }, TMP_Numeric_polar_22.$$arity = 0);\n    \n    Opal.def(self, '$quo', TMP_Numeric_quo_23 = function $$quo(other) {\n      var self = this;\n\n      return $rb_divide($$($nesting, 'Opal')['$coerce_to!'](self, $$($nesting, 'Rational'), \"to_r\"), other)\n    }, TMP_Numeric_quo_23.$$arity = 1);\n    \n    Opal.def(self, '$real', TMP_Numeric_real_24 = function $$real() {\n      var self = this;\n\n      return self\n    }, TMP_Numeric_real_24.$$arity = 0);\n    \n    Opal.def(self, '$real?', TMP_Numeric_real$q_25 = function() {\n      var self = this;\n\n      return true\n    }, TMP_Numeric_real$q_25.$$arity = 0);\n    \n    Opal.def(self, '$rect', TMP_Numeric_rect_26 = function $$rect() {\n      var self = this;\n\n      return [self, 0]\n    }, TMP_Numeric_rect_26.$$arity = 0);\n    Opal.alias(self, \"rectangular\", \"rect\");\n    \n    Opal.def(self, '$round', TMP_Numeric_round_27 = function $$round(digits) {\n      var self = this;\n\n      return self.$to_f().$round(digits)\n    }, TMP_Numeric_round_27.$$arity = -1);\n    \n    Opal.def(self, '$to_c', TMP_Numeric_to_c_28 = function $$to_c() {\n      var self = this;\n\n      return self.$Complex(self, 0)\n    }, TMP_Numeric_to_c_28.$$arity = 0);\n    \n    Opal.def(self, '$to_int', TMP_Numeric_to_int_29 = function $$to_int() {\n      var self = this;\n\n      return self.$to_i()\n    }, TMP_Numeric_to_int_29.$$arity = 0);\n    \n    Opal.def(self, '$truncate', TMP_Numeric_truncate_30 = function $$truncate(ndigits) {\n      var self = this;\n\n      if (ndigits == null) {\n        ndigits = 0;\n      }\n      return self.$to_f().$truncate(ndigits)\n    }, TMP_Numeric_truncate_30.$$arity = -1);\n    \n    Opal.def(self, '$zero?', TMP_Numeric_zero$q_31 = function() {\n      var self = this;\n\n      return self['$=='](0)\n    }, TMP_Numeric_zero$q_31.$$arity = 0);\n    \n    Opal.def(self, '$positive?', TMP_Numeric_positive$q_32 = function() {\n      var self = this;\n\n      return $rb_gt(self, 0)\n    }, TMP_Numeric_positive$q_32.$$arity = 0);\n    \n    Opal.def(self, '$negative?', TMP_Numeric_negative$q_33 = function() {\n      var self = this;\n\n      return $rb_lt(self, 0)\n    }, TMP_Numeric_negative$q_33.$$arity = 0);\n    \n    Opal.def(self, '$dup', TMP_Numeric_dup_34 = function $$dup() {\n      var self = this;\n\n      return self\n    }, TMP_Numeric_dup_34.$$arity = 0);\n    \n    Opal.def(self, '$clone', TMP_Numeric_clone_35 = function $$clone($kwargs) {\n      var self = this, freeze;\n\n      if ($kwargs == null || !$kwargs.$$is_hash) {\n        if ($kwargs == null) {\n          $kwargs = $hash2([], {});\n        } else {\n          throw Opal.ArgumentError.$new('expected kwargs');\n        }\n      }\n      freeze = $kwargs.$$smap[\"freeze\"];\n      if (freeze == null) {\n        freeze = true\n      }\n      return self\n    }, TMP_Numeric_clone_35.$$arity = -1);\n    \n    Opal.def(self, '$finite?', TMP_Numeric_finite$q_36 = function() {\n      var self = this;\n\n      return true\n    }, TMP_Numeric_finite$q_36.$$arity = 0);\n    return (Opal.def(self, '$infinite?', TMP_Numeric_infinite$q_37 = function() {\n      var self = this;\n\n      return nil\n    }, TMP_Numeric_infinite$q_37.$$arity = 0), nil) && 'infinite?';\n  })($nesting[0], null, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/array\"] = function(Opal) {\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_ge(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs >= rhs : lhs['$>='](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy, $hash2 = Opal.hash2, $send = Opal.send, $gvars = Opal.gvars;\n\n  Opal.add_stubs(['$require', '$include', '$to_a', '$warn', '$raise', '$replace', '$respond_to?', '$to_ary', '$coerce_to', '$coerce_to?', '$===', '$join', '$to_str', '$class', '$hash', '$<=>', '$==', '$object_id', '$inspect', '$enum_for', '$bsearch_index', '$to_proc', '$nil?', '$coerce_to!', '$>', '$*', '$enumerator_size', '$empty?', '$size', '$map', '$equal?', '$dup', '$each', '$[]', '$dig', '$eql?', '$length', '$begin', '$end', '$exclude_end?', '$flatten', '$__id__', '$to_s', '$new', '$max', '$min', '$!', '$>=', '$**', '$delete_if', '$reverse', '$rotate', '$rand', '$at', '$keep_if', '$shuffle!', '$<', '$sort', '$sort_by', '$!=', '$times', '$[]=', '$-', '$<<', '$values', '$is_a?', '$last', '$first', '$upto', '$reject', '$pristine', '$singleton_class']);\n  \n  self.$require(\"corelib/enumerable\");\n  self.$require(\"corelib/numeric\");\n  return (function($base, $super, $parent_nesting) {\n    function $Array(){};\n    var self = $Array = $klass($base, $super, 'Array', $Array);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Array_$$_1, TMP_Array_initialize_2, TMP_Array_try_convert_3, TMP_Array_$_4, TMP_Array_$_5, TMP_Array_$_6, TMP_Array_$_7, TMP_Array_$_8, TMP_Array_$lt$lt_9, TMP_Array_$lt$eq$gt_10, TMP_Array_$eq$eq_11, TMP_Array_$$_12, TMP_Array_$$$eq_13, TMP_Array_any$q_14, TMP_Array_assoc_15, TMP_Array_at_16, TMP_Array_bsearch_index_17, TMP_Array_bsearch_18, TMP_Array_cycle_19, TMP_Array_clear_21, TMP_Array_count_22, TMP_Array_initialize_copy_23, TMP_Array_collect_24, TMP_Array_collect$B_26, TMP_Array_combination_28, TMP_Array_repeated_combination_30, TMP_Array_compact_32, TMP_Array_compact$B_33, TMP_Array_concat_36, TMP_Array_delete_37, TMP_Array_delete_at_38, TMP_Array_delete_if_39, TMP_Array_dig_41, TMP_Array_drop_42, TMP_Array_dup_43, TMP_Array_each_44, TMP_Array_each_index_46, TMP_Array_empty$q_48, TMP_Array_eql$q_49, TMP_Array_fetch_50, TMP_Array_fill_51, TMP_Array_first_52, TMP_Array_flatten_53, TMP_Array_flatten$B_54, TMP_Array_hash_55, TMP_Array_include$q_56, TMP_Array_index_57, TMP_Array_insert_58, TMP_Array_inspect_59, TMP_Array_join_60, TMP_Array_keep_if_61, TMP_Array_last_63, TMP_Array_length_64, TMP_Array_max_65, TMP_Array_min_66, TMP_Array_permutation_67, TMP_Array_repeated_permutation_69, TMP_Array_pop_71, TMP_Array_product_72, TMP_Array_push_73, TMP_Array_rassoc_74, TMP_Array_reject_75, TMP_Array_reject$B_77, TMP_Array_replace_79, TMP_Array_reverse_80, TMP_Array_reverse$B_81, TMP_Array_reverse_each_82, TMP_Array_rindex_84, TMP_Array_rotate_85, TMP_Array_rotate$B_86, TMP_Array_sample_89, TMP_Array_select_90, TMP_Array_select$B_92, TMP_Array_shift_94, TMP_Array_shuffle_95, TMP_Array_shuffle$B_96, TMP_Array_slice$B_97, TMP_Array_sort_98, TMP_Array_sort$B_99, TMP_Array_sort_by$B_100, TMP_Array_take_102, TMP_Array_take_while_103, TMP_Array_to_a_104, TMP_Array_to_h_105, TMP_Array_transpose_108, TMP_Array_uniq_109, TMP_Array_uniq$B_110, TMP_Array_unshift_111, TMP_Array_values_at_114, TMP_Array_zip_115, TMP_Array_inherited_116, TMP_Array_instance_variables_117, TMP_Array_pack_119;\n\n    \n    self.$include($$($nesting, 'Enumerable'));\n    def.$$is_array = true;\n    \n    function toArraySubclass(obj, klass) {\n      if (klass.$$name === Opal.Array) {\n        return obj;\n      } else {\n        return klass.$allocate().$replace((obj).$to_a());\n      }\n    }\n  ;\n    Opal.defs(self, '$[]', TMP_Array_$$_1 = function($a_rest) {\n      var self = this, objects;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      objects = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        objects[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      return toArraySubclass(objects, self);\n    }, TMP_Array_$$_1.$$arity = -1);\n    \n    Opal.def(self, '$initialize', TMP_Array_initialize_2 = function $$initialize(size, obj) {\n      var self = this, $iter = TMP_Array_initialize_2.$$p, block = $iter || nil;\n\n      if (size == null) {\n        size = nil;\n      }\n      if (obj == null) {\n        obj = nil;\n      }\n      if ($iter) TMP_Array_initialize_2.$$p = null;\n      \n      if (obj !== nil && block !== nil) {\n        self.$warn(\"warning: block supersedes default value argument\")\n      }\n\n      if (size > $$$($$($nesting, 'Integer'), 'MAX')) {\n        self.$raise($$($nesting, 'ArgumentError'), \"array size too big\")\n      }\n\n      if (arguments.length > 2) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"wrong number of arguments (\" + (arguments.length) + \" for 0..2)\")\n      }\n\n      if (arguments.length === 0) {\n        self.splice(0, self.length);\n        return self;\n      }\n\n      if (arguments.length === 1) {\n        if (size.$$is_array) {\n          self.$replace(size.$to_a())\n          return self;\n        } else if (size['$respond_to?'](\"to_ary\")) {\n          self.$replace(size.$to_ary())\n          return self;\n        }\n      }\n\n      size = $$($nesting, 'Opal').$coerce_to(size, $$($nesting, 'Integer'), \"to_int\")\n\n      if (size < 0) {\n        self.$raise($$($nesting, 'ArgumentError'), \"negative array size\")\n      }\n\n      self.splice(0, self.length);\n      var i, value;\n\n      if (block === nil) {\n        for (i = 0; i < size; i++) {\n          self.push(obj);\n        }\n      }\n      else {\n        for (i = 0, value; i < size; i++) {\n          value = block(i);\n          self[i] = value;\n        }\n      }\n\n      return self;\n    \n    }, TMP_Array_initialize_2.$$arity = -1);\n    Opal.defs(self, '$try_convert', TMP_Array_try_convert_3 = function $$try_convert(obj) {\n      var self = this;\n\n      return $$($nesting, 'Opal')['$coerce_to?'](obj, $$($nesting, 'Array'), \"to_ary\")\n    }, TMP_Array_try_convert_3.$$arity = 1);\n    \n    Opal.def(self, '$&', TMP_Array_$_4 = function(other) {\n      var self = this;\n\n      \n      other = (function() {if ($truthy($$($nesting, 'Array')['$==='](other))) {\n        return other.$to_a()\n      } else {\n        return $$($nesting, 'Opal').$coerce_to(other, $$($nesting, 'Array'), \"to_ary\").$to_a()\n      }; return nil; })();\n      \n      var result = [], hash = $hash2([], {}), i, length, item;\n\n      for (i = 0, length = other.length; i < length; i++) {\n        Opal.hash_put(hash, other[i], true);\n      }\n\n      for (i = 0, length = self.length; i < length; i++) {\n        item = self[i];\n        if (Opal.hash_delete(hash, item) !== undefined) {\n          result.push(item);\n        }\n      }\n\n      return result;\n    ;\n    }, TMP_Array_$_4.$$arity = 1);\n    \n    Opal.def(self, '$|', TMP_Array_$_5 = function(other) {\n      var self = this;\n\n      \n      other = (function() {if ($truthy($$($nesting, 'Array')['$==='](other))) {\n        return other.$to_a()\n      } else {\n        return $$($nesting, 'Opal').$coerce_to(other, $$($nesting, 'Array'), \"to_ary\").$to_a()\n      }; return nil; })();\n      \n      var hash = $hash2([], {}), i, length, item;\n\n      for (i = 0, length = self.length; i < length; i++) {\n        Opal.hash_put(hash, self[i], true);\n      }\n\n      for (i = 0, length = other.length; i < length; i++) {\n        Opal.hash_put(hash, other[i], true);\n      }\n\n      return hash.$keys();\n    ;\n    }, TMP_Array_$_5.$$arity = 1);\n    \n    Opal.def(self, '$*', TMP_Array_$_6 = function(other) {\n      var self = this;\n\n      \n      if ($truthy(other['$respond_to?'](\"to_str\"))) {\n        return self.$join(other.$to_str())};\n      other = $$($nesting, 'Opal').$coerce_to(other, $$($nesting, 'Integer'), \"to_int\");\n      if ($truthy(other < 0)) {\n        self.$raise($$($nesting, 'ArgumentError'), \"negative argument\")};\n      \n      var result = [],\n          converted = self.$to_a();\n\n      for (var i = 0; i < other; i++) {\n        result = result.concat(converted);\n      }\n\n      return toArraySubclass(result, self.$class());\n    ;\n    }, TMP_Array_$_6.$$arity = 1);\n    \n    Opal.def(self, '$+', TMP_Array_$_7 = function(other) {\n      var self = this;\n\n      \n      other = (function() {if ($truthy($$($nesting, 'Array')['$==='](other))) {\n        return other.$to_a()\n      } else {\n        return $$($nesting, 'Opal').$coerce_to(other, $$($nesting, 'Array'), \"to_ary\").$to_a()\n      }; return nil; })();\n      return self.concat(other);;\n    }, TMP_Array_$_7.$$arity = 1);\n    \n    Opal.def(self, '$-', TMP_Array_$_8 = function(other) {\n      var self = this;\n\n      \n      other = (function() {if ($truthy($$($nesting, 'Array')['$==='](other))) {\n        return other.$to_a()\n      } else {\n        return $$($nesting, 'Opal').$coerce_to(other, $$($nesting, 'Array'), \"to_ary\").$to_a()\n      }; return nil; })();\n      if ($truthy(self.length === 0)) {\n        return []};\n      if ($truthy(other.length === 0)) {\n        return self.slice()};\n      \n      var result = [], hash = $hash2([], {}), i, length, item;\n\n      for (i = 0, length = other.length; i < length; i++) {\n        Opal.hash_put(hash, other[i], true);\n      }\n\n      for (i = 0, length = self.length; i < length; i++) {\n        item = self[i];\n        if (Opal.hash_get(hash, item) === undefined) {\n          result.push(item);\n        }\n      }\n\n      return result;\n    ;\n    }, TMP_Array_$_8.$$arity = 1);\n    \n    Opal.def(self, '$<<', TMP_Array_$lt$lt_9 = function(object) {\n      var self = this;\n\n      \n      self.push(object);\n      return self;\n    }, TMP_Array_$lt$lt_9.$$arity = 1);\n    \n    Opal.def(self, '$<=>', TMP_Array_$lt$eq$gt_10 = function(other) {\n      var self = this;\n\n      \n      if ($truthy($$($nesting, 'Array')['$==='](other))) {\n        other = other.$to_a()\n      } else if ($truthy(other['$respond_to?'](\"to_ary\"))) {\n        other = other.$to_ary().$to_a()\n      } else {\n        return nil\n      };\n      \n      if (self.$hash() === other.$hash()) {\n        return 0;\n      }\n\n      var count = Math.min(self.length, other.length);\n\n      for (var i = 0; i < count; i++) {\n        var tmp = (self[i])['$<=>'](other[i]);\n\n        if (tmp !== 0) {\n          return tmp;\n        }\n      }\n\n      return (self.length)['$<=>'](other.length);\n    ;\n    }, TMP_Array_$lt$eq$gt_10.$$arity = 1);\n    \n    Opal.def(self, '$==', TMP_Array_$eq$eq_11 = function(other) {\n      var self = this;\n\n      \n      var recursed = {};\n\n      function _eqeq(array, other) {\n        var i, length, a, b;\n\n        if (array === other)\n          return true;\n\n        if (!other.$$is_array) {\n          if ($$($nesting, 'Opal')['$respond_to?'](other, \"to_ary\")) {\n            return (other)['$=='](array);\n          } else {\n            return false;\n          }\n        }\n\n        if (array.constructor !== Array)\n          array = (array).$to_a();\n        if (other.constructor !== Array)\n          other = (other).$to_a();\n\n        if (array.length !== other.length) {\n          return false;\n        }\n\n        recursed[(array).$object_id()] = true;\n\n        for (i = 0, length = array.length; i < length; i++) {\n          a = array[i];\n          b = other[i];\n          if (a.$$is_array) {\n            if (b.$$is_array && b.length !== a.length) {\n              return false;\n            }\n            if (!recursed.hasOwnProperty((a).$object_id())) {\n              if (!_eqeq(a, b)) {\n                return false;\n              }\n            }\n          } else {\n            if (!(a)['$=='](b)) {\n              return false;\n            }\n          }\n        }\n\n        return true;\n      }\n\n      return _eqeq(self, other);\n    \n    }, TMP_Array_$eq$eq_11.$$arity = 1);\n    \n    function $array_slice_range(self, index) {\n      var size = self.length,\n          exclude, from, to, result;\n\n      exclude = index.excl;\n      from    = Opal.Opal.$coerce_to(index.begin, Opal.Integer, 'to_int');\n      to      = Opal.Opal.$coerce_to(index.end, Opal.Integer, 'to_int');\n\n      if (from < 0) {\n        from += size;\n\n        if (from < 0) {\n          return nil;\n        }\n      }\n\n      if (from > size) {\n        return nil;\n      }\n\n      if (to < 0) {\n        to += size;\n\n        if (to < 0) {\n          return [];\n        }\n      }\n\n      if (!exclude) {\n        to += 1;\n      }\n\n      result = self.slice(from, to);\n      return toArraySubclass(result, self.$class());\n    }\n\n    function $array_slice_index_length(self, index, length) {\n      var size = self.length,\n          exclude, from, to, result;\n\n      index = Opal.Opal.$coerce_to(index, Opal.Integer, 'to_int');\n\n      if (index < 0) {\n        index += size;\n\n        if (index < 0) {\n          return nil;\n        }\n      }\n\n      if (length === undefined) {\n        if (index >= size || index < 0) {\n          return nil;\n        }\n\n        return self[index];\n      }\n      else {\n        length = Opal.Opal.$coerce_to(length, Opal.Integer, 'to_int');\n\n        if (length < 0 || index > size || index < 0) {\n          return nil;\n        }\n\n        result = self.slice(index, index + length);\n      }\n      return toArraySubclass(result, self.$class());\n    }\n  ;\n    \n    Opal.def(self, '$[]', TMP_Array_$$_12 = function(index, length) {\n      var self = this;\n\n      \n      if (index.$$is_range) {\n        return $array_slice_range(self, index);\n      }\n      else {\n        return $array_slice_index_length(self, index, length);\n      }\n    \n    }, TMP_Array_$$_12.$$arity = -2);\n    \n    Opal.def(self, '$[]=', TMP_Array_$$$eq_13 = function(index, value, extra) {\n      var self = this, data = nil, length = nil;\n\n      \n            var i, size = self.length;;\n      if ($truthy($$($nesting, 'Range')['$==='](index))) {\n        \n        data = (function() {if ($truthy($$($nesting, 'Array')['$==='](value))) {\n          return value.$to_a()\n        } else if ($truthy(value['$respond_to?'](\"to_ary\"))) {\n          return value.$to_ary().$to_a()\n        } else {\n          return [value]\n        }; return nil; })();\n        \n        var exclude = index.excl,\n            from    = $$($nesting, 'Opal').$coerce_to(index.begin, $$($nesting, 'Integer'), \"to_int\"),\n            to      = $$($nesting, 'Opal').$coerce_to(index.end, $$($nesting, 'Integer'), \"to_int\");\n\n        if (from < 0) {\n          from += size;\n\n          if (from < 0) {\n            self.$raise($$($nesting, 'RangeError'), \"\" + (index.$inspect()) + \" out of range\");\n          }\n        }\n\n        if (to < 0) {\n          to += size;\n        }\n\n        if (!exclude) {\n          to += 1;\n        }\n\n        if (from > size) {\n          for (i = size; i < from; i++) {\n            self[i] = nil;\n          }\n        }\n\n        if (to < 0) {\n          self.splice.apply(self, [from, 0].concat(data));\n        }\n        else {\n          self.splice.apply(self, [from, to - from].concat(data));\n        }\n\n        return value;\n      ;\n      } else {\n        \n        if ($truthy(extra === undefined)) {\n          length = 1\n        } else {\n          \n          length = value;\n          value = extra;\n          data = (function() {if ($truthy($$($nesting, 'Array')['$==='](value))) {\n            return value.$to_a()\n          } else if ($truthy(value['$respond_to?'](\"to_ary\"))) {\n            return value.$to_ary().$to_a()\n          } else {\n            return [value]\n          }; return nil; })();\n        };\n        \n        var old;\n\n        index  = $$($nesting, 'Opal').$coerce_to(index, $$($nesting, 'Integer'), \"to_int\");\n        length = $$($nesting, 'Opal').$coerce_to(length, $$($nesting, 'Integer'), \"to_int\");\n\n        if (index < 0) {\n          old    = index;\n          index += size;\n\n          if (index < 0) {\n            self.$raise($$($nesting, 'IndexError'), \"\" + \"index \" + (old) + \" too small for array; minimum \" + (-self.length));\n          }\n        }\n\n        if (length < 0) {\n          self.$raise($$($nesting, 'IndexError'), \"\" + \"negative length (\" + (length) + \")\")\n        }\n\n        if (index > size) {\n          for (i = size; i < index; i++) {\n            self[i] = nil;\n          }\n        }\n\n        if (extra === undefined) {\n          self[index] = value;\n        }\n        else {\n          self.splice.apply(self, [index, length].concat(data));\n        }\n\n        return value;\n      ;\n      };\n    }, TMP_Array_$$$eq_13.$$arity = -3);\n    \n    Opal.def(self, '$any?', TMP_Array_any$q_14 = function(pattern) {\n      var self = this, $iter = TMP_Array_any$q_14.$$p, block = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n      if ($iter) TMP_Array_any$q_14.$$p = null;\n      // Prepare super implicit arguments\n      for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n        $zuper[$zuper_i] = arguments[$zuper_i];\n      }\n      \n      if (self.length === 0) return false;\n      return $send(self, Opal.find_super_dispatcher(self, 'any?', TMP_Array_any$q_14, false), $zuper, $iter);\n    }, TMP_Array_any$q_14.$$arity = -1);\n    \n    Opal.def(self, '$assoc', TMP_Array_assoc_15 = function $$assoc(object) {\n      var self = this;\n\n      \n      for (var i = 0, length = self.length, item; i < length; i++) {\n        if (item = self[i], item.length && (item[0])['$=='](object)) {\n          return item;\n        }\n      }\n\n      return nil;\n    \n    }, TMP_Array_assoc_15.$$arity = 1);\n    \n    Opal.def(self, '$at', TMP_Array_at_16 = function $$at(index) {\n      var self = this;\n\n      \n      index = $$($nesting, 'Opal').$coerce_to(index, $$($nesting, 'Integer'), \"to_int\");\n      \n      if (index < 0) {\n        index += self.length;\n      }\n\n      if (index < 0 || index >= self.length) {\n        return nil;\n      }\n\n      return self[index];\n    ;\n    }, TMP_Array_at_16.$$arity = 1);\n    \n    Opal.def(self, '$bsearch_index', TMP_Array_bsearch_index_17 = function $$bsearch_index() {\n      var self = this, $iter = TMP_Array_bsearch_index_17.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_bsearch_index_17.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return self.$enum_for(\"bsearch_index\")\n      };\n      \n      var min = 0,\n          max = self.length,\n          mid,\n          val,\n          ret,\n          smaller = false,\n          satisfied = nil;\n\n      while (min < max) {\n        mid = min + Math.floor((max - min) / 2);\n        val = self[mid];\n        ret = Opal.yield1(block, val);\n\n        if (ret === true) {\n          satisfied = mid;\n          smaller = true;\n        }\n        else if (ret === false || ret === nil) {\n          smaller = false;\n        }\n        else if (ret.$$is_number) {\n          if (ret === 0) { return mid; }\n          smaller = (ret < 0);\n        }\n        else {\n          self.$raise($$($nesting, 'TypeError'), \"\" + \"wrong argument type \" + ((ret).$class()) + \" (must be numeric, true, false or nil)\")\n        }\n\n        if (smaller) { max = mid; } else { min = mid + 1; }\n      }\n\n      return satisfied;\n    ;\n    }, TMP_Array_bsearch_index_17.$$arity = 0);\n    \n    Opal.def(self, '$bsearch', TMP_Array_bsearch_18 = function $$bsearch() {\n      var self = this, $iter = TMP_Array_bsearch_18.$$p, block = $iter || nil, index = nil;\n\n      if ($iter) TMP_Array_bsearch_18.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return self.$enum_for(\"bsearch\")\n      };\n      index = $send(self, 'bsearch_index', [], block.$to_proc());\n      \n      if (index != null && index.$$is_number) {\n        return self[index];\n      } else {\n        return index;\n      }\n    ;\n    }, TMP_Array_bsearch_18.$$arity = 0);\n    \n    Opal.def(self, '$cycle', TMP_Array_cycle_19 = function $$cycle(n) {\n      var TMP_20, $a, self = this, $iter = TMP_Array_cycle_19.$$p, block = $iter || nil;\n\n      if (n == null) {\n        n = nil;\n      }\n      if ($iter) TMP_Array_cycle_19.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"cycle\", n], (TMP_20 = function(){var self = TMP_20.$$s || this;\n\n        if ($truthy(n['$nil?']())) {\n            return $$$($$($nesting, 'Float'), 'INFINITY')\n          } else {\n            \n            n = $$($nesting, 'Opal')['$coerce_to!'](n, $$($nesting, 'Integer'), \"to_int\");\n            if ($truthy($rb_gt(n, 0))) {\n              return $rb_times(self.$enumerator_size(), n)\n            } else {\n              return 0\n            };\n          }}, TMP_20.$$s = self, TMP_20.$$arity = 0, TMP_20))\n      };\n      if ($truthy(($truthy($a = self['$empty?']()) ? $a : n['$=='](0)))) {\n        return nil};\n      \n      var i, length, value;\n\n      if (n === nil) {\n        while (true) {\n          for (i = 0, length = self.length; i < length; i++) {\n            value = Opal.yield1(block, self[i]);\n          }\n        }\n      }\n      else {\n        n = $$($nesting, 'Opal')['$coerce_to!'](n, $$($nesting, 'Integer'), \"to_int\");\n        if (n <= 0) {\n          return self;\n        }\n\n        while (n > 0) {\n          for (i = 0, length = self.length; i < length; i++) {\n            value = Opal.yield1(block, self[i]);\n          }\n\n          n--;\n        }\n      }\n    ;\n      return self;\n    }, TMP_Array_cycle_19.$$arity = -1);\n    \n    Opal.def(self, '$clear', TMP_Array_clear_21 = function $$clear() {\n      var self = this;\n\n      \n      self.splice(0, self.length);\n      return self;\n    }, TMP_Array_clear_21.$$arity = 0);\n    \n    Opal.def(self, '$count', TMP_Array_count_22 = function $$count(object) {\n      var $a, self = this, $iter = TMP_Array_count_22.$$p, block = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n      if (object == null) {\n        object = nil;\n      }\n      if ($iter) TMP_Array_count_22.$$p = null;\n      // Prepare super implicit arguments\n      for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n        $zuper[$zuper_i] = arguments[$zuper_i];\n      }\n      if ($truthy(($truthy($a = object) ? $a : block))) {\n        return $send(self, Opal.find_super_dispatcher(self, 'count', TMP_Array_count_22, false), $zuper, $iter)\n      } else {\n        return self.$size()\n      }\n    }, TMP_Array_count_22.$$arity = -1);\n    \n    Opal.def(self, '$initialize_copy', TMP_Array_initialize_copy_23 = function $$initialize_copy(other) {\n      var self = this;\n\n      return self.$replace(other)\n    }, TMP_Array_initialize_copy_23.$$arity = 1);\n    \n    Opal.def(self, '$collect', TMP_Array_collect_24 = function $$collect() {\n      var TMP_25, self = this, $iter = TMP_Array_collect_24.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_collect_24.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"collect\"], (TMP_25 = function(){var self = TMP_25.$$s || this;\n\n        return self.$size()}, TMP_25.$$s = self, TMP_25.$$arity = 0, TMP_25))\n      };\n      \n      var result = [];\n\n      for (var i = 0, length = self.length; i < length; i++) {\n        var value = Opal.yield1(block, self[i]);\n        result.push(value);\n      }\n\n      return result;\n    ;\n    }, TMP_Array_collect_24.$$arity = 0);\n    \n    Opal.def(self, '$collect!', TMP_Array_collect$B_26 = function() {\n      var TMP_27, self = this, $iter = TMP_Array_collect$B_26.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_collect$B_26.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"collect!\"], (TMP_27 = function(){var self = TMP_27.$$s || this;\n\n        return self.$size()}, TMP_27.$$s = self, TMP_27.$$arity = 0, TMP_27))\n      };\n      \n      for (var i = 0, length = self.length; i < length; i++) {\n        var value = Opal.yield1(block, self[i]);\n        self[i] = value;\n      }\n    ;\n      return self;\n    }, TMP_Array_collect$B_26.$$arity = 0);\n    \n    function binomial_coefficient(n, k) {\n      if (n === k || k === 0) {\n        return 1;\n      }\n\n      if (k > 0 && n > k) {\n        return binomial_coefficient(n - 1, k - 1) + binomial_coefficient(n - 1, k);\n      }\n\n      return 0;\n    }\n  ;\n    \n    Opal.def(self, '$combination', TMP_Array_combination_28 = function $$combination(n) {\n      var TMP_29, self = this, $iter = TMP_Array_combination_28.$$p, $yield = $iter || nil, num = nil;\n\n      if ($iter) TMP_Array_combination_28.$$p = null;\n      \n      num = $$($nesting, 'Opal')['$coerce_to!'](n, $$($nesting, 'Integer'), \"to_int\");\n      if (($yield !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"combination\", num], (TMP_29 = function(){var self = TMP_29.$$s || this;\n\n        return binomial_coefficient(self.length, num)}, TMP_29.$$s = self, TMP_29.$$arity = 0, TMP_29))\n      };\n      \n      var i, length, stack, chosen, lev, done, next;\n\n      if (num === 0) {\n        Opal.yield1($yield, [])\n      } else if (num === 1) {\n        for (i = 0, length = self.length; i < length; i++) {\n          Opal.yield1($yield, [self[i]])\n        }\n      }\n      else if (num === self.length) {\n        Opal.yield1($yield, self.slice())\n      }\n      else if (num >= 0 && num < self.length) {\n        stack = [];\n        for (i = 0; i <= num + 1; i++) {\n          stack.push(0);\n        }\n\n        chosen = [];\n        lev = 0;\n        done = false;\n        stack[0] = -1;\n\n        while (!done) {\n          chosen[lev] = self[stack[lev+1]];\n          while (lev < num - 1) {\n            lev++;\n            next = stack[lev+1] = stack[lev] + 1;\n            chosen[lev] = self[next];\n          }\n          Opal.yield1($yield, chosen.slice())\n          lev++;\n          do {\n            done = (lev === 0);\n            stack[lev]++;\n            lev--;\n          } while ( stack[lev+1] + num === self.length + lev + 1 );\n        }\n      }\n    ;\n      return self;\n    }, TMP_Array_combination_28.$$arity = 1);\n    \n    Opal.def(self, '$repeated_combination', TMP_Array_repeated_combination_30 = function $$repeated_combination(n) {\n      var TMP_31, self = this, $iter = TMP_Array_repeated_combination_30.$$p, $yield = $iter || nil, num = nil;\n\n      if ($iter) TMP_Array_repeated_combination_30.$$p = null;\n      \n      num = $$($nesting, 'Opal')['$coerce_to!'](n, $$($nesting, 'Integer'), \"to_int\");\n      if (($yield !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"repeated_combination\", num], (TMP_31 = function(){var self = TMP_31.$$s || this;\n\n        return binomial_coefficient(self.length + num - 1, num);}, TMP_31.$$s = self, TMP_31.$$arity = 0, TMP_31))\n      };\n      \n      function iterate(max, from, buffer, self) {\n        if (buffer.length == max) {\n          var copy = buffer.slice();\n          Opal.yield1($yield, copy)\n          return;\n        }\n        for (var i = from; i < self.length; i++) {\n          buffer.push(self[i]);\n          iterate(max, i, buffer, self);\n          buffer.pop();\n        }\n      }\n\n      if (num >= 0) {\n        iterate(num, 0, [], self);\n      }\n    ;\n      return self;\n    }, TMP_Array_repeated_combination_30.$$arity = 1);\n    \n    Opal.def(self, '$compact', TMP_Array_compact_32 = function $$compact() {\n      var self = this;\n\n      \n      var result = [];\n\n      for (var i = 0, length = self.length, item; i < length; i++) {\n        if ((item = self[i]) !== nil) {\n          result.push(item);\n        }\n      }\n\n      return result;\n    \n    }, TMP_Array_compact_32.$$arity = 0);\n    \n    Opal.def(self, '$compact!', TMP_Array_compact$B_33 = function() {\n      var self = this;\n\n      \n      var original = self.length;\n\n      for (var i = 0, length = self.length; i < length; i++) {\n        if (self[i] === nil) {\n          self.splice(i, 1);\n\n          length--;\n          i--;\n        }\n      }\n\n      return self.length === original ? nil : self;\n    \n    }, TMP_Array_compact$B_33.$$arity = 0);\n    \n    Opal.def(self, '$concat', TMP_Array_concat_36 = function $$concat($a_rest) {\n      var TMP_34, TMP_35, self = this, others;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      others = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        others[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      others = $send(others, 'map', [], (TMP_34 = function(other){var self = TMP_34.$$s || this;\nif (other == null) other = nil;\n      \n        other = (function() {if ($truthy($$($nesting, 'Array')['$==='](other))) {\n          return other.$to_a()\n        } else {\n          return $$($nesting, 'Opal').$coerce_to(other, $$($nesting, 'Array'), \"to_ary\").$to_a()\n        }; return nil; })();\n        if ($truthy(other['$equal?'](self))) {\n          other = other.$dup()};\n        return other;}, TMP_34.$$s = self, TMP_34.$$arity = 1, TMP_34));\n      $send(others, 'each', [], (TMP_35 = function(other){var self = TMP_35.$$s || this;\nif (other == null) other = nil;\n      \n        for (var i = 0, length = other.length; i < length; i++) {\n          self.push(other[i]);\n        }\n      }, TMP_35.$$s = self, TMP_35.$$arity = 1, TMP_35));\n      return self;\n    }, TMP_Array_concat_36.$$arity = -1);\n    \n    Opal.def(self, '$delete', TMP_Array_delete_37 = function(object) {\n      var self = this, $iter = TMP_Array_delete_37.$$p, $yield = $iter || nil;\n\n      if ($iter) TMP_Array_delete_37.$$p = null;\n      \n      var original = self.length;\n\n      for (var i = 0, length = original; i < length; i++) {\n        if ((self[i])['$=='](object)) {\n          self.splice(i, 1);\n\n          length--;\n          i--;\n        }\n      }\n\n      if (self.length === original) {\n        if (($yield !== nil)) {\n          return Opal.yieldX($yield, []);\n        }\n        return nil;\n      }\n      return object;\n    \n    }, TMP_Array_delete_37.$$arity = 1);\n    \n    Opal.def(self, '$delete_at', TMP_Array_delete_at_38 = function $$delete_at(index) {\n      var self = this;\n\n      \n      index = $$($nesting, 'Opal').$coerce_to(index, $$($nesting, 'Integer'), \"to_int\");\n\n      if (index < 0) {\n        index += self.length;\n      }\n\n      if (index < 0 || index >= self.length) {\n        return nil;\n      }\n\n      var result = self[index];\n\n      self.splice(index, 1);\n\n      return result;\n    \n    }, TMP_Array_delete_at_38.$$arity = 1);\n    \n    Opal.def(self, '$delete_if', TMP_Array_delete_if_39 = function $$delete_if() {\n      var TMP_40, self = this, $iter = TMP_Array_delete_if_39.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_delete_if_39.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"delete_if\"], (TMP_40 = function(){var self = TMP_40.$$s || this;\n\n        return self.$size()}, TMP_40.$$s = self, TMP_40.$$arity = 0, TMP_40))\n      };\n      \n      for (var i = 0, length = self.length, value; i < length; i++) {\n        value = block(self[i]);\n\n        if (value !== false && value !== nil) {\n          self.splice(i, 1);\n\n          length--;\n          i--;\n        }\n      }\n    ;\n      return self;\n    }, TMP_Array_delete_if_39.$$arity = 0);\n    \n    Opal.def(self, '$dig', TMP_Array_dig_41 = function $$dig(idx, $a_rest) {\n      var self = this, idxs, item = nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 1;\n      if ($rest_len < 0) { $rest_len = 0; }\n      idxs = new Array($rest_len);\n      for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n        idxs[$arg_idx - 1] = arguments[$arg_idx];\n      }\n      \n      item = self['$[]'](idx);\n      \n      if (item === nil || idxs.length === 0) {\n        return item;\n      }\n    ;\n      if ($truthy(item['$respond_to?'](\"dig\"))) {\n      } else {\n        self.$raise($$($nesting, 'TypeError'), \"\" + (item.$class()) + \" does not have #dig method\")\n      };\n      return $send(item, 'dig', Opal.to_a(idxs));\n    }, TMP_Array_dig_41.$$arity = -2);\n    \n    Opal.def(self, '$drop', TMP_Array_drop_42 = function $$drop(number) {\n      var self = this;\n\n      \n      if (number < 0) {\n        self.$raise($$($nesting, 'ArgumentError'))\n      }\n\n      return self.slice(number);\n    \n    }, TMP_Array_drop_42.$$arity = 1);\n    \n    Opal.def(self, '$dup', TMP_Array_dup_43 = function $$dup() {\n      var self = this, $iter = TMP_Array_dup_43.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n      if ($iter) TMP_Array_dup_43.$$p = null;\n      // Prepare super implicit arguments\n      for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n        $zuper[$zuper_i] = arguments[$zuper_i];\n      }\n      \n      \n      if (self.$$class === Opal.Array &&\n          self.$$class.$allocate.$$pristine &&\n          self.$copy_instance_variables.$$pristine &&\n          self.$initialize_dup.$$pristine) {\n        return self.slice(0);\n      }\n    ;\n      return $send(self, Opal.find_super_dispatcher(self, 'dup', TMP_Array_dup_43, false), $zuper, $iter);\n    }, TMP_Array_dup_43.$$arity = 0);\n    \n    Opal.def(self, '$each', TMP_Array_each_44 = function $$each() {\n      var TMP_45, self = this, $iter = TMP_Array_each_44.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_each_44.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"each\"], (TMP_45 = function(){var self = TMP_45.$$s || this;\n\n        return self.$size()}, TMP_45.$$s = self, TMP_45.$$arity = 0, TMP_45))\n      };\n      \n      for (var i = 0, length = self.length; i < length; i++) {\n        var value = Opal.yield1(block, self[i]);\n      }\n    ;\n      return self;\n    }, TMP_Array_each_44.$$arity = 0);\n    \n    Opal.def(self, '$each_index', TMP_Array_each_index_46 = function $$each_index() {\n      var TMP_47, self = this, $iter = TMP_Array_each_index_46.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_each_index_46.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"each_index\"], (TMP_47 = function(){var self = TMP_47.$$s || this;\n\n        return self.$size()}, TMP_47.$$s = self, TMP_47.$$arity = 0, TMP_47))\n      };\n      \n      for (var i = 0, length = self.length; i < length; i++) {\n        var value = Opal.yield1(block, i);\n      }\n    ;\n      return self;\n    }, TMP_Array_each_index_46.$$arity = 0);\n    \n    Opal.def(self, '$empty?', TMP_Array_empty$q_48 = function() {\n      var self = this;\n\n      return self.length === 0;\n    }, TMP_Array_empty$q_48.$$arity = 0);\n    \n    Opal.def(self, '$eql?', TMP_Array_eql$q_49 = function(other) {\n      var self = this;\n\n      \n      var recursed = {};\n\n      function _eql(array, other) {\n        var i, length, a, b;\n\n        if (!other.$$is_array) {\n          return false;\n        }\n\n        other = other.$to_a();\n\n        if (array.length !== other.length) {\n          return false;\n        }\n\n        recursed[(array).$object_id()] = true;\n\n        for (i = 0, length = array.length; i < length; i++) {\n          a = array[i];\n          b = other[i];\n          if (a.$$is_array) {\n            if (b.$$is_array && b.length !== a.length) {\n              return false;\n            }\n            if (!recursed.hasOwnProperty((a).$object_id())) {\n              if (!_eql(a, b)) {\n                return false;\n              }\n            }\n          } else {\n            if (!(a)['$eql?'](b)) {\n              return false;\n            }\n          }\n        }\n\n        return true;\n      }\n\n      return _eql(self, other);\n    \n    }, TMP_Array_eql$q_49.$$arity = 1);\n    \n    Opal.def(self, '$fetch', TMP_Array_fetch_50 = function $$fetch(index, defaults) {\n      var self = this, $iter = TMP_Array_fetch_50.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_fetch_50.$$p = null;\n      \n      var original = index;\n\n      index = $$($nesting, 'Opal').$coerce_to(index, $$($nesting, 'Integer'), \"to_int\");\n\n      if (index < 0) {\n        index += self.length;\n      }\n\n      if (index >= 0 && index < self.length) {\n        return self[index];\n      }\n\n      if (block !== nil && defaults != null) {\n        self.$warn(\"warning: block supersedes default value argument\")\n      }\n\n      if (block !== nil) {\n        return block(original);\n      }\n\n      if (defaults != null) {\n        return defaults;\n      }\n\n      if (self.length === 0) {\n        self.$raise($$($nesting, 'IndexError'), \"\" + \"index \" + (original) + \" outside of array bounds: 0...0\")\n      }\n      else {\n        self.$raise($$($nesting, 'IndexError'), \"\" + \"index \" + (original) + \" outside of array bounds: -\" + (self.length) + \"...\" + (self.length));\n      }\n    \n    }, TMP_Array_fetch_50.$$arity = -2);\n    \n    Opal.def(self, '$fill', TMP_Array_fill_51 = function $$fill($a_rest) {\n      var $b, $c, self = this, args, $iter = TMP_Array_fill_51.$$p, block = $iter || nil, one = nil, two = nil, obj = nil, left = nil, right = nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Array_fill_51.$$p = null;\n      \n            var i, length, value;;\n      if ($truthy(block)) {\n        \n        if ($truthy(args.length > 2)) {\n          self.$raise($$($nesting, 'ArgumentError'), \"\" + \"wrong number of arguments (\" + (args.$length()) + \" for 0..2)\")};\n        $c = args, $b = Opal.to_ary($c), (one = ($b[0] == null ? nil : $b[0])), (two = ($b[1] == null ? nil : $b[1])), $c;\n      } else {\n        \n        if ($truthy(args.length == 0)) {\n          self.$raise($$($nesting, 'ArgumentError'), \"wrong number of arguments (0 for 1..3)\")\n        } else if ($truthy(args.length > 3)) {\n          self.$raise($$($nesting, 'ArgumentError'), \"\" + \"wrong number of arguments (\" + (args.$length()) + \" for 1..3)\")};\n        $c = args, $b = Opal.to_ary($c), (obj = ($b[0] == null ? nil : $b[0])), (one = ($b[1] == null ? nil : $b[1])), (two = ($b[2] == null ? nil : $b[2])), $c;\n      };\n      if ($truthy($$($nesting, 'Range')['$==='](one))) {\n        \n        if ($truthy(two)) {\n          self.$raise($$($nesting, 'TypeError'), \"length invalid with range\")};\n        left = $$($nesting, 'Opal').$coerce_to(one.$begin(), $$($nesting, 'Integer'), \"to_int\");\n        if ($truthy(left < 0)) {\n          left += this.length};\n        if ($truthy(left < 0)) {\n          self.$raise($$($nesting, 'RangeError'), \"\" + (one.$inspect()) + \" out of range\")};\n        right = $$($nesting, 'Opal').$coerce_to(one.$end(), $$($nesting, 'Integer'), \"to_int\");\n        if ($truthy(right < 0)) {\n          right += this.length};\n        if ($truthy(one['$exclude_end?']())) {\n        } else {\n          right += 1\n        };\n        if ($truthy(right <= left)) {\n          return self};\n      } else if ($truthy(one)) {\n        \n        left = $$($nesting, 'Opal').$coerce_to(one, $$($nesting, 'Integer'), \"to_int\");\n        if ($truthy(left < 0)) {\n          left += this.length};\n        if ($truthy(left < 0)) {\n          left = 0};\n        if ($truthy(two)) {\n          \n          right = $$($nesting, 'Opal').$coerce_to(two, $$($nesting, 'Integer'), \"to_int\");\n          if ($truthy(right == 0)) {\n            return self};\n          right += left;\n        } else {\n          right = this.length\n        };\n      } else {\n        \n        left = 0;\n        right = this.length;\n      };\n      if ($truthy(left > this.length)) {\n        \n        for (i = this.length; i < right; i++) {\n          self[i] = nil;\n        }\n      };\n      if ($truthy(right > this.length)) {\n        this.length = right};\n      if ($truthy(block)) {\n        \n        for (length = this.length; left < right; left++) {\n          value = block(left);\n          self[left] = value;\n        }\n      \n      } else {\n        \n        for (length = this.length; left < right; left++) {\n          self[left] = obj;\n        }\n      \n      };\n      return self;\n    }, TMP_Array_fill_51.$$arity = -1);\n    \n    Opal.def(self, '$first', TMP_Array_first_52 = function $$first(count) {\n      var self = this;\n\n      \n      if (count == null) {\n        return self.length === 0 ? nil : self[0];\n      }\n\n      count = $$($nesting, 'Opal').$coerce_to(count, $$($nesting, 'Integer'), \"to_int\");\n\n      if (count < 0) {\n        self.$raise($$($nesting, 'ArgumentError'), \"negative array size\");\n      }\n\n      return self.slice(0, count);\n    \n    }, TMP_Array_first_52.$$arity = -1);\n    \n    Opal.def(self, '$flatten', TMP_Array_flatten_53 = function $$flatten(level) {\n      var self = this;\n\n      \n      function _flatten(array, level) {\n        var result = [],\n            i, length,\n            item, ary;\n\n        array = (array).$to_a();\n\n        for (i = 0, length = array.length; i < length; i++) {\n          item = array[i];\n\n          if (!$$($nesting, 'Opal')['$respond_to?'](item, \"to_ary\", true)) {\n            result.push(item);\n            continue;\n          }\n\n          ary = (item).$to_ary();\n\n          if (ary === nil) {\n            result.push(item);\n            continue;\n          }\n\n          if (!ary.$$is_array) {\n            self.$raise($$($nesting, 'TypeError'));\n          }\n\n          if (ary === self) {\n            self.$raise($$($nesting, 'ArgumentError'));\n          }\n\n          switch (level) {\n          case undefined:\n            result = result.concat(_flatten(ary));\n            break;\n          case 0:\n            result.push(ary);\n            break;\n          default:\n            result.push.apply(result, _flatten(ary, level - 1));\n          }\n        }\n        return result;\n      }\n\n      if (level !== undefined) {\n        level = $$($nesting, 'Opal').$coerce_to(level, $$($nesting, 'Integer'), \"to_int\");\n      }\n\n      return toArraySubclass(_flatten(self, level), self.$class());\n    \n    }, TMP_Array_flatten_53.$$arity = -1);\n    \n    Opal.def(self, '$flatten!', TMP_Array_flatten$B_54 = function(level) {\n      var self = this;\n\n      \n      \n      var flattened = self.$flatten(level);\n\n      if (self.length == flattened.length) {\n        for (var i = 0, length = self.length; i < length; i++) {\n          if (self[i] !== flattened[i]) {\n            break;\n          }\n        }\n\n        if (i == length) {\n          return nil;\n        }\n      }\n\n      self.$replace(flattened);\n    ;\n      return self;\n    }, TMP_Array_flatten$B_54.$$arity = -1);\n    \n    Opal.def(self, '$hash', TMP_Array_hash_55 = function $$hash() {\n      var self = this;\n\n      \n      var top = (Opal.hash_ids === undefined),\n          result = ['A'],\n          hash_id = self.$object_id(),\n          item, i, key;\n\n      try {\n        if (top) {\n          Opal.hash_ids = Object.create(null);\n        }\n\n        // return early for recursive structures\n        if (Opal.hash_ids[hash_id]) {\n          return 'self';\n        }\n\n        for (key in Opal.hash_ids) {\n          item = Opal.hash_ids[key];\n          if (self['$eql?'](item)) {\n            return 'self';\n          }\n        }\n\n        Opal.hash_ids[hash_id] = self;\n\n        for (i = 0; i < self.length; i++) {\n          item = self[i];\n          result.push(item.$hash());\n        }\n\n        return result.join(',');\n      } finally {\n        if (top) {\n          Opal.hash_ids = undefined;\n        }\n      }\n    \n    }, TMP_Array_hash_55.$$arity = 0);\n    \n    Opal.def(self, '$include?', TMP_Array_include$q_56 = function(member) {\n      var self = this;\n\n      \n      for (var i = 0, length = self.length; i < length; i++) {\n        if ((self[i])['$=='](member)) {\n          return true;\n        }\n      }\n\n      return false;\n    \n    }, TMP_Array_include$q_56.$$arity = 1);\n    \n    Opal.def(self, '$index', TMP_Array_index_57 = function $$index(object) {\n      var self = this, $iter = TMP_Array_index_57.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_index_57.$$p = null;\n      \n      var i, length, value;\n\n      if (object != null && block !== nil) {\n        self.$warn(\"warning: given block not used\")\n      }\n\n      if (object != null) {\n        for (i = 0, length = self.length; i < length; i++) {\n          if ((self[i])['$=='](object)) {\n            return i;\n          }\n        }\n      }\n      else if (block !== nil) {\n        for (i = 0, length = self.length; i < length; i++) {\n          value = block(self[i]);\n\n          if (value !== false && value !== nil) {\n            return i;\n          }\n        }\n      }\n      else {\n        return self.$enum_for(\"index\");\n      }\n\n      return nil;\n    \n    }, TMP_Array_index_57.$$arity = -1);\n    \n    Opal.def(self, '$insert', TMP_Array_insert_58 = function $$insert(index, $a_rest) {\n      var self = this, objects;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 1;\n      if ($rest_len < 0) { $rest_len = 0; }\n      objects = new Array($rest_len);\n      for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n        objects[$arg_idx - 1] = arguments[$arg_idx];\n      }\n      \n      \n      index = $$($nesting, 'Opal').$coerce_to(index, $$($nesting, 'Integer'), \"to_int\");\n\n      if (objects.length > 0) {\n        if (index < 0) {\n          index += self.length + 1;\n\n          if (index < 0) {\n            self.$raise($$($nesting, 'IndexError'), \"\" + (index) + \" is out of bounds\");\n          }\n        }\n        if (index > self.length) {\n          for (var i = self.length; i < index; i++) {\n            self.push(nil);\n          }\n        }\n\n        self.splice.apply(self, [index, 0].concat(objects));\n      }\n    ;\n      return self;\n    }, TMP_Array_insert_58.$$arity = -2);\n    \n    Opal.def(self, '$inspect', TMP_Array_inspect_59 = function $$inspect() {\n      var self = this;\n\n      \n      var result = [],\n          id     = self.$__id__();\n\n      for (var i = 0, length = self.length; i < length; i++) {\n        var item = self['$[]'](i);\n\n        if ((item).$__id__() === id) {\n          result.push('[...]');\n        }\n        else {\n          result.push((item).$inspect());\n        }\n      }\n\n      return '[' + result.join(', ') + ']';\n    \n    }, TMP_Array_inspect_59.$$arity = 0);\n    \n    Opal.def(self, '$join', TMP_Array_join_60 = function $$join(sep) {\n      var self = this;\n      if ($gvars[\",\"] == null) $gvars[\",\"] = nil;\n\n      if (sep == null) {\n        sep = nil;\n      }\n      \n      if ($truthy(self.length === 0)) {\n        return \"\"};\n      if ($truthy(sep === nil)) {\n        sep = $gvars[\",\"]};\n      \n      var result = [];\n      var i, length, item, tmp;\n\n      for (i = 0, length = self.length; i < length; i++) {\n        item = self[i];\n\n        if ($$($nesting, 'Opal')['$respond_to?'](item, \"to_str\")) {\n          tmp = (item).$to_str();\n\n          if (tmp !== nil) {\n            result.push((tmp).$to_s());\n\n            continue;\n          }\n        }\n\n        if ($$($nesting, 'Opal')['$respond_to?'](item, \"to_ary\")) {\n          tmp = (item).$to_ary();\n\n          if (tmp === self) {\n            self.$raise($$($nesting, 'ArgumentError'));\n          }\n\n          if (tmp !== nil) {\n            result.push((tmp).$join(sep));\n\n            continue;\n          }\n        }\n\n        if ($$($nesting, 'Opal')['$respond_to?'](item, \"to_s\")) {\n          tmp = (item).$to_s();\n\n          if (tmp !== nil) {\n            result.push(tmp);\n\n            continue;\n          }\n        }\n\n        self.$raise($$($nesting, 'NoMethodError').$new(\"\" + (Opal.inspect(item)) + \" doesn't respond to #to_str, #to_ary or #to_s\", \"to_str\"));\n      }\n\n      if (sep === nil) {\n        return result.join('');\n      }\n      else {\n        return result.join($$($nesting, 'Opal')['$coerce_to!'](sep, $$($nesting, 'String'), \"to_str\").$to_s());\n      }\n    ;\n    }, TMP_Array_join_60.$$arity = -1);\n    \n    Opal.def(self, '$keep_if', TMP_Array_keep_if_61 = function $$keep_if() {\n      var TMP_62, self = this, $iter = TMP_Array_keep_if_61.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_keep_if_61.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"keep_if\"], (TMP_62 = function(){var self = TMP_62.$$s || this;\n\n        return self.$size()}, TMP_62.$$s = self, TMP_62.$$arity = 0, TMP_62))\n      };\n      \n      for (var i = 0, length = self.length, value; i < length; i++) {\n        value = block(self[i]);\n\n        if (value === false || value === nil) {\n          self.splice(i, 1);\n\n          length--;\n          i--;\n        }\n      }\n    ;\n      return self;\n    }, TMP_Array_keep_if_61.$$arity = 0);\n    \n    Opal.def(self, '$last', TMP_Array_last_63 = function $$last(count) {\n      var self = this;\n\n      \n      if (count == null) {\n        return self.length === 0 ? nil : self[self.length - 1];\n      }\n\n      count = $$($nesting, 'Opal').$coerce_to(count, $$($nesting, 'Integer'), \"to_int\");\n\n      if (count < 0) {\n        self.$raise($$($nesting, 'ArgumentError'), \"negative array size\");\n      }\n\n      if (count > self.length) {\n        count = self.length;\n      }\n\n      return self.slice(self.length - count, self.length);\n    \n    }, TMP_Array_last_63.$$arity = -1);\n    \n    Opal.def(self, '$length', TMP_Array_length_64 = function $$length() {\n      var self = this;\n\n      return self.length;\n    }, TMP_Array_length_64.$$arity = 0);\n    Opal.alias(self, \"map\", \"collect\");\n    Opal.alias(self, \"map!\", \"collect!\");\n    \n    Opal.def(self, '$max', TMP_Array_max_65 = function $$max(n) {\n      var self = this, $iter = TMP_Array_max_65.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_max_65.$$p = null;\n      return $send(self.$each(), 'max', [n], block.$to_proc())\n    }, TMP_Array_max_65.$$arity = -1);\n    \n    Opal.def(self, '$min', TMP_Array_min_66 = function $$min() {\n      var self = this, $iter = TMP_Array_min_66.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_min_66.$$p = null;\n      return $send(self.$each(), 'min', [], block.$to_proc())\n    }, TMP_Array_min_66.$$arity = 0);\n    \n    // Returns the product of from, from-1, ..., from - how_many + 1.\n    function descending_factorial(from, how_many) {\n      var count = how_many >= 0 ? 1 : 0;\n      while (how_many) {\n        count *= from;\n        from--;\n        how_many--;\n      }\n      return count;\n    }\n  ;\n    \n    Opal.def(self, '$permutation', TMP_Array_permutation_67 = function $$permutation(num) {\n      var TMP_68, self = this, $iter = TMP_Array_permutation_67.$$p, block = $iter || nil, perm = nil, used = nil;\n\n      if ($iter) TMP_Array_permutation_67.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"permutation\", num], (TMP_68 = function(){var self = TMP_68.$$s || this;\n\n        return descending_factorial(self.length, num === undefined ? self.length : num);}, TMP_68.$$s = self, TMP_68.$$arity = 0, TMP_68))\n      };\n      \n      var permute, offensive, output;\n\n      if (num === undefined) {\n        num = self.length;\n      }\n      else {\n        num = $$($nesting, 'Opal').$coerce_to(num, $$($nesting, 'Integer'), \"to_int\")\n      }\n\n      if (num < 0 || self.length < num) {\n        // no permutations, yield nothing\n      }\n      else if (num === 0) {\n        // exactly one permutation: the zero-length array\n        Opal.yield1(block, [])\n      }\n      else if (num === 1) {\n        // this is a special, easy case\n        for (var i = 0; i < self.length; i++) {\n          Opal.yield1(block, [self[i]])\n        }\n      }\n      else {\n        // this is the general case\n        (perm = $$($nesting, 'Array').$new(num));\n        (used = $$($nesting, 'Array').$new(self.length, false));\n\n        permute = function(num, perm, index, used, blk) {\n          self = this;\n          for(var i = 0; i < self.length; i++){\n            if(used['$[]'](i)['$!']()) {\n              perm[index] = i;\n              if(index < num - 1) {\n                used[i] = true;\n                permute.call(self, num, perm, index + 1, used, blk);\n                used[i] = false;\n              }\n              else {\n                output = [];\n                for (var j = 0; j < perm.length; j++) {\n                  output.push(self[perm[j]]);\n                }\n                Opal.yield1(blk, output);\n              }\n            }\n          }\n        }\n\n        if ((block !== nil)) {\n          // offensive (both definitions) copy.\n          offensive = self.slice();\n          permute.call(offensive, num, perm, 0, used, block);\n        }\n        else {\n          permute.call(self, num, perm, 0, used, block);\n        }\n      }\n    ;\n      return self;\n    }, TMP_Array_permutation_67.$$arity = -1);\n    \n    Opal.def(self, '$repeated_permutation', TMP_Array_repeated_permutation_69 = function $$repeated_permutation(n) {\n      var TMP_70, self = this, $iter = TMP_Array_repeated_permutation_69.$$p, $yield = $iter || nil, num = nil;\n\n      if ($iter) TMP_Array_repeated_permutation_69.$$p = null;\n      \n      num = $$($nesting, 'Opal')['$coerce_to!'](n, $$($nesting, 'Integer'), \"to_int\");\n      if (($yield !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"repeated_permutation\", num], (TMP_70 = function(){var self = TMP_70.$$s || this;\n\n        if ($truthy($rb_ge(num, 0))) {\n            return self.$size()['$**'](num)\n          } else {\n            return 0\n          }}, TMP_70.$$s = self, TMP_70.$$arity = 0, TMP_70))\n      };\n      \n      function iterate(max, buffer, self) {\n        if (buffer.length == max) {\n          var copy = buffer.slice();\n          Opal.yield1($yield, copy)\n          return;\n        }\n        for (var i = 0; i < self.length; i++) {\n          buffer.push(self[i]);\n          iterate(max, buffer, self);\n          buffer.pop();\n        }\n      }\n\n      iterate(num, [], self.slice());\n    ;\n      return self;\n    }, TMP_Array_repeated_permutation_69.$$arity = 1);\n    \n    Opal.def(self, '$pop', TMP_Array_pop_71 = function $$pop(count) {\n      var self = this;\n\n      \n      if ($truthy(count === undefined)) {\n        \n        if ($truthy(self.length === 0)) {\n          return nil};\n        return self.pop();};\n      count = $$($nesting, 'Opal').$coerce_to(count, $$($nesting, 'Integer'), \"to_int\");\n      if ($truthy(count < 0)) {\n        self.$raise($$($nesting, 'ArgumentError'), \"negative array size\")};\n      if ($truthy(self.length === 0)) {\n        return []};\n      if ($truthy(count > self.length)) {\n        return self.splice(0, self.length);\n      } else {\n        return self.splice(self.length - count, self.length);\n      };\n    }, TMP_Array_pop_71.$$arity = -1);\n    \n    Opal.def(self, '$product', TMP_Array_product_72 = function $$product($a_rest) {\n      var self = this, args, $iter = TMP_Array_product_72.$$p, block = $iter || nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Array_product_72.$$p = null;\n      \n      var result = (block !== nil) ? null : [],\n          n = args.length + 1,\n          counters = new Array(n),\n          lengths  = new Array(n),\n          arrays   = new Array(n),\n          i, m, subarray, len, resultlen = 1;\n\n      arrays[0] = self;\n      for (i = 1; i < n; i++) {\n        arrays[i] = $$($nesting, 'Opal').$coerce_to(args[i - 1], $$($nesting, 'Array'), \"to_ary\");\n      }\n\n      for (i = 0; i < n; i++) {\n        len = arrays[i].length;\n        if (len === 0) {\n          return result || self;\n        }\n        resultlen *= len;\n        if (resultlen > 2147483647) {\n          self.$raise($$($nesting, 'RangeError'), \"too big to product\")\n        }\n        lengths[i] = len;\n        counters[i] = 0;\n      }\n\n      outer_loop: for (;;) {\n        subarray = [];\n        for (i = 0; i < n; i++) {\n          subarray.push(arrays[i][counters[i]]);\n        }\n        if (result) {\n          result.push(subarray);\n        } else {\n          Opal.yield1(block, subarray)\n        }\n        m = n - 1;\n        counters[m]++;\n        while (counters[m] === lengths[m]) {\n          counters[m] = 0;\n          if (--m < 0) break outer_loop;\n          counters[m]++;\n        }\n      }\n\n      return result || self;\n    \n    }, TMP_Array_product_72.$$arity = -1);\n    \n    Opal.def(self, '$push', TMP_Array_push_73 = function $$push($a_rest) {\n      var self = this, objects;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      objects = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        objects[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      \n      for (var i = 0, length = objects.length; i < length; i++) {\n        self.push(objects[i]);\n      }\n    ;\n      return self;\n    }, TMP_Array_push_73.$$arity = -1);\n    Opal.alias(self, \"append\", \"push\");\n    \n    Opal.def(self, '$rassoc', TMP_Array_rassoc_74 = function $$rassoc(object) {\n      var self = this;\n\n      \n      for (var i = 0, length = self.length, item; i < length; i++) {\n        item = self[i];\n\n        if (item.length && item[1] !== undefined) {\n          if ((item[1])['$=='](object)) {\n            return item;\n          }\n        }\n      }\n\n      return nil;\n    \n    }, TMP_Array_rassoc_74.$$arity = 1);\n    \n    Opal.def(self, '$reject', TMP_Array_reject_75 = function $$reject() {\n      var TMP_76, self = this, $iter = TMP_Array_reject_75.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_reject_75.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"reject\"], (TMP_76 = function(){var self = TMP_76.$$s || this;\n\n        return self.$size()}, TMP_76.$$s = self, TMP_76.$$arity = 0, TMP_76))\n      };\n      \n      var result = [];\n\n      for (var i = 0, length = self.length, value; i < length; i++) {\n        value = block(self[i]);\n\n        if (value === false || value === nil) {\n          result.push(self[i]);\n        }\n      }\n      return result;\n    ;\n    }, TMP_Array_reject_75.$$arity = 0);\n    \n    Opal.def(self, '$reject!', TMP_Array_reject$B_77 = function() {\n      var TMP_78, self = this, $iter = TMP_Array_reject$B_77.$$p, block = $iter || nil, original = nil;\n\n      if ($iter) TMP_Array_reject$B_77.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"reject!\"], (TMP_78 = function(){var self = TMP_78.$$s || this;\n\n        return self.$size()}, TMP_78.$$s = self, TMP_78.$$arity = 0, TMP_78))\n      };\n      original = self.$length();\n      $send(self, 'delete_if', [], block.$to_proc());\n      if (self.$length()['$=='](original)) {\n        return nil\n      } else {\n        return self\n      };\n    }, TMP_Array_reject$B_77.$$arity = 0);\n    \n    Opal.def(self, '$replace', TMP_Array_replace_79 = function $$replace(other) {\n      var self = this;\n\n      \n      other = (function() {if ($truthy($$($nesting, 'Array')['$==='](other))) {\n        return other.$to_a()\n      } else {\n        return $$($nesting, 'Opal').$coerce_to(other, $$($nesting, 'Array'), \"to_ary\").$to_a()\n      }; return nil; })();\n      \n      self.splice(0, self.length);\n      self.push.apply(self, other);\n    ;\n      return self;\n    }, TMP_Array_replace_79.$$arity = 1);\n    \n    Opal.def(self, '$reverse', TMP_Array_reverse_80 = function $$reverse() {\n      var self = this;\n\n      return self.slice(0).reverse();\n    }, TMP_Array_reverse_80.$$arity = 0);\n    \n    Opal.def(self, '$reverse!', TMP_Array_reverse$B_81 = function() {\n      var self = this;\n\n      return self.reverse();\n    }, TMP_Array_reverse$B_81.$$arity = 0);\n    \n    Opal.def(self, '$reverse_each', TMP_Array_reverse_each_82 = function $$reverse_each() {\n      var TMP_83, self = this, $iter = TMP_Array_reverse_each_82.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_reverse_each_82.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"reverse_each\"], (TMP_83 = function(){var self = TMP_83.$$s || this;\n\n        return self.$size()}, TMP_83.$$s = self, TMP_83.$$arity = 0, TMP_83))\n      };\n      $send(self.$reverse(), 'each', [], block.$to_proc());\n      return self;\n    }, TMP_Array_reverse_each_82.$$arity = 0);\n    \n    Opal.def(self, '$rindex', TMP_Array_rindex_84 = function $$rindex(object) {\n      var self = this, $iter = TMP_Array_rindex_84.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_rindex_84.$$p = null;\n      \n      var i, value;\n\n      if (object != null && block !== nil) {\n        self.$warn(\"warning: given block not used\")\n      }\n\n      if (object != null) {\n        for (i = self.length - 1; i >= 0; i--) {\n          if (i >= self.length) {\n            break;\n          }\n          if ((self[i])['$=='](object)) {\n            return i;\n          }\n        }\n      }\n      else if (block !== nil) {\n        for (i = self.length - 1; i >= 0; i--) {\n          if (i >= self.length) {\n            break;\n          }\n\n          value = block(self[i]);\n\n          if (value !== false && value !== nil) {\n            return i;\n          }\n        }\n      }\n      else if (object == null) {\n        return self.$enum_for(\"rindex\");\n      }\n\n      return nil;\n    \n    }, TMP_Array_rindex_84.$$arity = -1);\n    \n    Opal.def(self, '$rotate', TMP_Array_rotate_85 = function $$rotate(n) {\n      var self = this;\n\n      if (n == null) {\n        n = 1;\n      }\n      \n      n = $$($nesting, 'Opal').$coerce_to(n, $$($nesting, 'Integer'), \"to_int\");\n      \n      var ary, idx, firstPart, lastPart;\n\n      if (self.length === 1) {\n        return self.slice();\n      }\n      if (self.length === 0) {\n        return [];\n      }\n\n      ary = self.slice();\n      idx = n % ary.length;\n\n      firstPart = ary.slice(idx);\n      lastPart = ary.slice(0, idx);\n      return firstPart.concat(lastPart);\n    ;\n    }, TMP_Array_rotate_85.$$arity = -1);\n    \n    Opal.def(self, '$rotate!', TMP_Array_rotate$B_86 = function(cnt) {\n      var self = this, ary = nil;\n\n      if (cnt == null) {\n        cnt = 1;\n      }\n      \n      \n      if (self.length === 0 || self.length === 1) {\n        return self;\n      }\n    ;\n      cnt = $$($nesting, 'Opal').$coerce_to(cnt, $$($nesting, 'Integer'), \"to_int\");\n      ary = self.$rotate(cnt);\n      return self.$replace(ary);\n    }, TMP_Array_rotate$B_86.$$arity = -1);\n    (function($base, $super, $parent_nesting) {\n      function $SampleRandom(){};\n      var self = $SampleRandom = $klass($base, $super, 'SampleRandom', $SampleRandom);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_SampleRandom_initialize_87, TMP_SampleRandom_rand_88;\n\n      def.rng = nil;\n      \n      \n      Opal.def(self, '$initialize', TMP_SampleRandom_initialize_87 = function $$initialize(rng) {\n        var self = this;\n\n        return (self.rng = rng)\n      }, TMP_SampleRandom_initialize_87.$$arity = 1);\n      return (Opal.def(self, '$rand', TMP_SampleRandom_rand_88 = function $$rand(size) {\n        var self = this, random = nil;\n\n        \n        random = $$($nesting, 'Opal').$coerce_to(self.rng.$rand(size), $$($nesting, 'Integer'), \"to_int\");\n        if ($truthy(random < 0)) {\n          self.$raise($$($nesting, 'RangeError'), \"random value must be >= 0\")};\n        if ($truthy(random < size)) {\n        } else {\n          self.$raise($$($nesting, 'RangeError'), \"random value must be less than Array size\")\n        };\n        return random;\n      }, TMP_SampleRandom_rand_88.$$arity = 1), nil) && 'rand';\n    })($nesting[0], null, $nesting);\n    \n    Opal.def(self, '$sample', TMP_Array_sample_89 = function $$sample(count, options) {\n      var $a, self = this, o = nil, rng = nil;\n\n      \n      if ($truthy(count === undefined)) {\n        return self.$at($$($nesting, 'Kernel').$rand(self.length))};\n      if ($truthy(options === undefined)) {\n        if ($truthy((o = $$($nesting, 'Opal')['$coerce_to?'](count, $$($nesting, 'Hash'), \"to_hash\")))) {\n          \n          options = o;\n          count = nil;\n        } else {\n          \n          options = nil;\n          count = $$($nesting, 'Opal').$coerce_to(count, $$($nesting, 'Integer'), \"to_int\");\n        }\n      } else {\n        \n        count = $$($nesting, 'Opal').$coerce_to(count, $$($nesting, 'Integer'), \"to_int\");\n        options = $$($nesting, 'Opal').$coerce_to(options, $$($nesting, 'Hash'), \"to_hash\");\n      };\n      if ($truthy(($truthy($a = count) ? count < 0 : $a))) {\n        self.$raise($$($nesting, 'ArgumentError'), \"count must be greater than 0\")};\n      if ($truthy(options)) {\n        rng = options['$[]'](\"random\")};\n      rng = (function() {if ($truthy(($truthy($a = rng) ? rng['$respond_to?'](\"rand\") : $a))) {\n        return $$($nesting, 'SampleRandom').$new(rng)\n      } else {\n        return $$($nesting, 'Kernel')\n      }; return nil; })();\n      if ($truthy(count)) {\n      } else {\n        return self[rng.$rand(self.length)]\n      };\n      \n\n      var abandon, spin, result, i, j, k, targetIndex, oldValue;\n\n      if (count > self.length) {\n        count = self.length;\n      }\n\n      switch (count) {\n        case 0:\n          return [];\n          break;\n        case 1:\n          return [self[rng.$rand(self.length)]];\n          break;\n        case 2:\n          i = rng.$rand(self.length);\n          j = rng.$rand(self.length);\n          if (i === j) {\n            j = i === 0 ? i + 1 : i - 1;\n          }\n          return [self[i], self[j]];\n          break;\n        default:\n          if (self.length / count > 3) {\n            abandon = false;\n            spin = 0;\n\n            result = $$($nesting, 'Array').$new(count);\n            i = 1;\n\n            result[0] = rng.$rand(self.length);\n            while (i < count) {\n              k = rng.$rand(self.length);\n              j = 0;\n\n              while (j < i) {\n                while (k === result[j]) {\n                  spin++;\n                  if (spin > 100) {\n                    abandon = true;\n                    break;\n                  }\n                  k = rng.$rand(self.length);\n                }\n                if (abandon) { break; }\n\n                j++;\n              }\n\n              if (abandon) { break; }\n\n              result[i] = k;\n\n              i++;\n            }\n\n            if (!abandon) {\n              i = 0;\n              while (i < count) {\n                result[i] = self[result[i]];\n                i++;\n              }\n\n              return result;\n            }\n          }\n\n          result = self.slice();\n\n          for (var c = 0; c < count; c++) {\n            targetIndex = rng.$rand(self.length);\n            oldValue = result[c];\n            result[c] = result[targetIndex];\n            result[targetIndex] = oldValue;\n          }\n\n          return count === self.length ? result : (result)['$[]'](0, count);\n      }\n    ;\n    }, TMP_Array_sample_89.$$arity = -1);\n    \n    Opal.def(self, '$select', TMP_Array_select_90 = function $$select() {\n      var TMP_91, self = this, $iter = TMP_Array_select_90.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_select_90.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"select\"], (TMP_91 = function(){var self = TMP_91.$$s || this;\n\n        return self.$size()}, TMP_91.$$s = self, TMP_91.$$arity = 0, TMP_91))\n      };\n      \n      var result = [];\n\n      for (var i = 0, length = self.length, item, value; i < length; i++) {\n        item = self[i];\n\n        value = Opal.yield1(block, item);\n\n        if (value !== false && value !== nil) {\n          result.push(item);\n        }\n      }\n\n      return result;\n    ;\n    }, TMP_Array_select_90.$$arity = 0);\n    \n    Opal.def(self, '$select!', TMP_Array_select$B_92 = function() {\n      var TMP_93, self = this, $iter = TMP_Array_select$B_92.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_select$B_92.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"select!\"], (TMP_93 = function(){var self = TMP_93.$$s || this;\n\n        return self.$size()}, TMP_93.$$s = self, TMP_93.$$arity = 0, TMP_93))\n      };\n      \n      var original = self.length;\n      $send(self, 'keep_if', [], block.$to_proc());\n      return self.length === original ? nil : self;\n    ;\n    }, TMP_Array_select$B_92.$$arity = 0);\n    \n    Opal.def(self, '$shift', TMP_Array_shift_94 = function $$shift(count) {\n      var self = this;\n\n      \n      if ($truthy(count === undefined)) {\n        \n        if ($truthy(self.length === 0)) {\n          return nil};\n        return self.shift();};\n      count = $$($nesting, 'Opal').$coerce_to(count, $$($nesting, 'Integer'), \"to_int\");\n      if ($truthy(count < 0)) {\n        self.$raise($$($nesting, 'ArgumentError'), \"negative array size\")};\n      if ($truthy(self.length === 0)) {\n        return []};\n      return self.splice(0, count);;\n    }, TMP_Array_shift_94.$$arity = -1);\n    Opal.alias(self, \"size\", \"length\");\n    \n    Opal.def(self, '$shuffle', TMP_Array_shuffle_95 = function $$shuffle(rng) {\n      var self = this;\n\n      return self.$dup().$to_a()['$shuffle!'](rng)\n    }, TMP_Array_shuffle_95.$$arity = -1);\n    \n    Opal.def(self, '$shuffle!', TMP_Array_shuffle$B_96 = function(rng) {\n      var self = this;\n\n      \n      var randgen, i = self.length, j, tmp;\n\n      if (rng !== undefined) {\n        rng = $$($nesting, 'Opal')['$coerce_to?'](rng, $$($nesting, 'Hash'), \"to_hash\");\n\n        if (rng !== nil) {\n          rng = rng['$[]'](\"random\");\n\n          if (rng !== nil && rng['$respond_to?'](\"rand\")) {\n            randgen = rng;\n          }\n        }\n      }\n\n      while (i) {\n        if (randgen) {\n          j = randgen.$rand(i).$to_int();\n\n          if (j < 0) {\n            self.$raise($$($nesting, 'RangeError'), \"\" + \"random number too small \" + (j))\n          }\n\n          if (j >= i) {\n            self.$raise($$($nesting, 'RangeError'), \"\" + \"random number too big \" + (j))\n          }\n        }\n        else {\n          j = self.$rand(i);\n        }\n\n        tmp = self[--i];\n        self[i] = self[j];\n        self[j] = tmp;\n      }\n\n      return self;\n    \n    }, TMP_Array_shuffle$B_96.$$arity = -1);\n    Opal.alias(self, \"slice\", \"[]\");\n    \n    Opal.def(self, '$slice!', TMP_Array_slice$B_97 = function(index, length) {\n      var self = this, result = nil, range = nil, range_start = nil, range_end = nil, start = nil;\n\n      \n      result = nil;\n      if ($truthy(length === undefined)) {\n        if ($truthy($$($nesting, 'Range')['$==='](index))) {\n          \n          range = index;\n          result = self['$[]'](range);\n          range_start = $$($nesting, 'Opal').$coerce_to(range.$begin(), $$($nesting, 'Integer'), \"to_int\");\n          range_end = $$($nesting, 'Opal').$coerce_to(range.$end(), $$($nesting, 'Integer'), \"to_int\");\n          \n          if (range_start < 0) {\n            range_start += self.length;\n          }\n\n          if (range_end < 0) {\n            range_end += self.length;\n          } else if (range_end >= self.length) {\n            range_end = self.length - 1;\n            if (range.excl) {\n              range_end += 1;\n            }\n          }\n\n          var range_length = range_end - range_start;\n          if (range.excl) {\n            range_end -= 1;\n          } else {\n            range_length += 1;\n          }\n\n          if (range_start < self.length && range_start >= 0 && range_end < self.length && range_end >= 0 && range_length > 0) {\n            self.splice(range_start, range_length);\n          }\n        ;\n        } else {\n          \n          start = $$($nesting, 'Opal').$coerce_to(index, $$($nesting, 'Integer'), \"to_int\");\n          \n          if (start < 0) {\n            start += self.length;\n          }\n\n          if (start < 0 || start >= self.length) {\n            return nil;\n          }\n\n          result = self[start];\n\n          if (start === 0) {\n            self.shift();\n          } else {\n            self.splice(start, 1);\n          }\n        ;\n        }\n      } else {\n        \n        start = $$($nesting, 'Opal').$coerce_to(index, $$($nesting, 'Integer'), \"to_int\");\n        length = $$($nesting, 'Opal').$coerce_to(length, $$($nesting, 'Integer'), \"to_int\");\n        \n        if (length < 0) {\n          return nil;\n        }\n\n        var end = start + length;\n\n        result = self['$[]'](start, length);\n\n        if (start < 0) {\n          start += self.length;\n        }\n\n        if (start + length > self.length) {\n          length = self.length - start;\n        }\n\n        if (start < self.length && start >= 0) {\n          self.splice(start, length);\n        }\n      ;\n      };\n      return result;\n    }, TMP_Array_slice$B_97.$$arity = -2);\n    \n    Opal.def(self, '$sort', TMP_Array_sort_98 = function $$sort() {\n      var self = this, $iter = TMP_Array_sort_98.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_sort_98.$$p = null;\n      \n      if ($truthy(self.length > 1)) {\n      } else {\n        return self\n      };\n      \n      if (block === nil) {\n        block = function(a, b) {\n          return (a)['$<=>'](b);\n        };\n      }\n\n      return self.slice().sort(function(x, y) {\n        var ret = block(x, y);\n\n        if (ret === nil) {\n          self.$raise($$($nesting, 'ArgumentError'), \"\" + \"comparison of \" + ((x).$inspect()) + \" with \" + ((y).$inspect()) + \" failed\");\n        }\n\n        return $rb_gt(ret, 0) ? 1 : ($rb_lt(ret, 0) ? -1 : 0);\n      });\n    ;\n    }, TMP_Array_sort_98.$$arity = 0);\n    \n    Opal.def(self, '$sort!', TMP_Array_sort$B_99 = function() {\n      var self = this, $iter = TMP_Array_sort$B_99.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_sort$B_99.$$p = null;\n      \n      var result;\n\n      if ((block !== nil)) {\n        result = $send((self.slice()), 'sort', [], block.$to_proc());\n      }\n      else {\n        result = (self.slice()).$sort();\n      }\n\n      self.length = 0;\n      for(var i = 0, length = result.length; i < length; i++) {\n        self.push(result[i]);\n      }\n\n      return self;\n    \n    }, TMP_Array_sort$B_99.$$arity = 0);\n    \n    Opal.def(self, '$sort_by!', TMP_Array_sort_by$B_100 = function() {\n      var TMP_101, self = this, $iter = TMP_Array_sort_by$B_100.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_sort_by$B_100.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"sort_by!\"], (TMP_101 = function(){var self = TMP_101.$$s || this;\n\n        return self.$size()}, TMP_101.$$s = self, TMP_101.$$arity = 0, TMP_101))\n      };\n      return self.$replace($send(self, 'sort_by', [], block.$to_proc()));\n    }, TMP_Array_sort_by$B_100.$$arity = 0);\n    \n    Opal.def(self, '$take', TMP_Array_take_102 = function $$take(count) {\n      var self = this;\n\n      \n      if (count < 0) {\n        self.$raise($$($nesting, 'ArgumentError'));\n      }\n\n      return self.slice(0, count);\n    \n    }, TMP_Array_take_102.$$arity = 1);\n    \n    Opal.def(self, '$take_while', TMP_Array_take_while_103 = function $$take_while() {\n      var self = this, $iter = TMP_Array_take_while_103.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_take_while_103.$$p = null;\n      \n      var result = [];\n\n      for (var i = 0, length = self.length, item, value; i < length; i++) {\n        item = self[i];\n\n        value = block(item);\n\n        if (value === false || value === nil) {\n          return result;\n        }\n\n        result.push(item);\n      }\n\n      return result;\n    \n    }, TMP_Array_take_while_103.$$arity = 0);\n    \n    Opal.def(self, '$to_a', TMP_Array_to_a_104 = function $$to_a() {\n      var self = this;\n\n      return self\n    }, TMP_Array_to_a_104.$$arity = 0);\n    Opal.alias(self, \"to_ary\", \"to_a\");\n    \n    Opal.def(self, '$to_h', TMP_Array_to_h_105 = function $$to_h() {\n      var self = this;\n\n      \n      var i, len = self.length, ary, key, val, hash = $hash2([], {});\n\n      for (i = 0; i < len; i++) {\n        ary = $$($nesting, 'Opal')['$coerce_to?'](self[i], $$($nesting, 'Array'), \"to_ary\");\n        if (!ary.$$is_array) {\n          self.$raise($$($nesting, 'TypeError'), \"\" + \"wrong element type \" + ((ary).$class()) + \" at \" + (i) + \" (expected array)\")\n        }\n        if (ary.length !== 2) {\n          self.$raise($$($nesting, 'ArgumentError'), \"\" + \"wrong array length at \" + (i) + \" (expected 2, was \" + ((ary).$length()) + \")\")\n        }\n        key = ary[0];\n        val = ary[1];\n        Opal.hash_put(hash, key, val);\n      }\n\n      return hash;\n    \n    }, TMP_Array_to_h_105.$$arity = 0);\n    Opal.alias(self, \"to_s\", \"inspect\");\n    \n    Opal.def(self, '$transpose', TMP_Array_transpose_108 = function $$transpose() {\n      var TMP_106, self = this, result = nil, max = nil;\n\n      \n      if ($truthy(self['$empty?']())) {\n        return []};\n      result = [];\n      max = nil;\n      $send(self, 'each', [], (TMP_106 = function(row){var self = TMP_106.$$s || this, $a, TMP_107;\nif (row == null) row = nil;\n      \n        row = (function() {if ($truthy($$($nesting, 'Array')['$==='](row))) {\n          return row.$to_a()\n        } else {\n          return $$($nesting, 'Opal').$coerce_to(row, $$($nesting, 'Array'), \"to_ary\").$to_a()\n        }; return nil; })();\n        max = ($truthy($a = max) ? $a : row.length);\n        if ($truthy((row.length)['$!='](max))) {\n          self.$raise($$($nesting, 'IndexError'), \"\" + \"element size differs (\" + (row.length) + \" should be \" + (max) + \")\")};\n        return $send((row.length), 'times', [], (TMP_107 = function(i){var self = TMP_107.$$s || this, $b, entry = nil, $writer = nil;\nif (i == null) i = nil;\n        \n          entry = ($truthy($b = result['$[]'](i)) ? $b : (($writer = [i, []]), $send(result, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n          return entry['$<<'](row.$at(i));}, TMP_107.$$s = self, TMP_107.$$arity = 1, TMP_107));}, TMP_106.$$s = self, TMP_106.$$arity = 1, TMP_106));\n      return result;\n    }, TMP_Array_transpose_108.$$arity = 0);\n    \n    Opal.def(self, '$uniq', TMP_Array_uniq_109 = function $$uniq() {\n      var self = this, $iter = TMP_Array_uniq_109.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_uniq_109.$$p = null;\n      \n      var hash = $hash2([], {}), i, length, item, key;\n\n      if (block === nil) {\n        for (i = 0, length = self.length; i < length; i++) {\n          item = self[i];\n          if (Opal.hash_get(hash, item) === undefined) {\n            Opal.hash_put(hash, item, item);\n          }\n        }\n      }\n      else {\n        for (i = 0, length = self.length; i < length; i++) {\n          item = self[i];\n          key = Opal.yield1(block, item);\n          if (Opal.hash_get(hash, key) === undefined) {\n            Opal.hash_put(hash, key, item);\n          }\n        }\n      }\n\n      return toArraySubclass((hash).$values(), self.$class());\n    \n    }, TMP_Array_uniq_109.$$arity = 0);\n    \n    Opal.def(self, '$uniq!', TMP_Array_uniq$B_110 = function() {\n      var self = this, $iter = TMP_Array_uniq$B_110.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Array_uniq$B_110.$$p = null;\n      \n      var original_length = self.length, hash = $hash2([], {}), i, length, item, key;\n\n      for (i = 0, length = original_length; i < length; i++) {\n        item = self[i];\n        key = (block === nil ? item : Opal.yield1(block, item));\n\n        if (Opal.hash_get(hash, key) === undefined) {\n          Opal.hash_put(hash, key, item);\n          continue;\n        }\n\n        self.splice(i, 1);\n        length--;\n        i--;\n      }\n\n      return self.length === original_length ? nil : self;\n    \n    }, TMP_Array_uniq$B_110.$$arity = 0);\n    \n    Opal.def(self, '$unshift', TMP_Array_unshift_111 = function $$unshift($a_rest) {\n      var self = this, objects;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      objects = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        objects[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      \n      for (var i = objects.length - 1; i >= 0; i--) {\n        self.unshift(objects[i]);\n      }\n    ;\n      return self;\n    }, TMP_Array_unshift_111.$$arity = -1);\n    Opal.alias(self, \"prepend\", \"unshift\");\n    \n    Opal.def(self, '$values_at', TMP_Array_values_at_114 = function $$values_at($a_rest) {\n      var TMP_112, self = this, args, out = nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      out = [];\n      $send(args, 'each', [], (TMP_112 = function(elem){var self = TMP_112.$$s || this, TMP_113, finish = nil, start = nil, i = nil;\nif (elem == null) elem = nil;\n      if ($truthy(elem['$is_a?']($$($nesting, 'Range')))) {\n          \n          finish = $$($nesting, 'Opal').$coerce_to(elem.$last(), $$($nesting, 'Integer'), \"to_int\");\n          start = $$($nesting, 'Opal').$coerce_to(elem.$first(), $$($nesting, 'Integer'), \"to_int\");\n          \n          if (start < 0) {\n            start = start + self.length;\n            return nil;;\n          }\n        ;\n          \n          if (finish < 0) {\n            finish = finish + self.length;\n          }\n          if (elem['$exclude_end?']()) {\n            finish--;\n          }\n          if (finish < start) {\n            return nil;;\n          }\n        ;\n          return $send(start, 'upto', [finish], (TMP_113 = function(i){var self = TMP_113.$$s || this;\nif (i == null) i = nil;\n          return out['$<<'](self.$at(i))}, TMP_113.$$s = self, TMP_113.$$arity = 1, TMP_113));\n        } else {\n          \n          i = $$($nesting, 'Opal').$coerce_to(elem, $$($nesting, 'Integer'), \"to_int\");\n          return out['$<<'](self.$at(i));\n        }}, TMP_112.$$s = self, TMP_112.$$arity = 1, TMP_112));\n      return out;\n    }, TMP_Array_values_at_114.$$arity = -1);\n    \n    Opal.def(self, '$zip', TMP_Array_zip_115 = function $$zip($a_rest) {\n      var $b, self = this, others, $iter = TMP_Array_zip_115.$$p, block = $iter || nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      others = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        others[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Array_zip_115.$$p = null;\n      \n      var result = [], size = self.length, part, o, i, j, jj;\n\n      for (j = 0, jj = others.length; j < jj; j++) {\n        o = others[j];\n        if (o.$$is_array) {\n          continue;\n        }\n        if (o.$$is_enumerator) {\n          if (o.$size() === Infinity) {\n            others[j] = o.$take(size);\n          } else {\n            others[j] = o.$to_a();\n          }\n          continue;\n        }\n        others[j] = ($truthy($b = $$($nesting, 'Opal')['$coerce_to?'](o, $$($nesting, 'Array'), \"to_ary\")) ? $b : $$($nesting, 'Opal')['$coerce_to!'](o, $$($nesting, 'Enumerator'), \"each\")).$to_a();\n      }\n\n      for (i = 0; i < size; i++) {\n        part = [self[i]];\n\n        for (j = 0, jj = others.length; j < jj; j++) {\n          o = others[j][i];\n\n          if (o == null) {\n            o = nil;\n          }\n\n          part[j + 1] = o;\n        }\n\n        result[i] = part;\n      }\n\n      if (block !== nil) {\n        for (i = 0; i < size; i++) {\n          block(result[i]);\n        }\n\n        return nil;\n      }\n\n      return result;\n    \n    }, TMP_Array_zip_115.$$arity = -1);\n    Opal.defs(self, '$inherited', TMP_Array_inherited_116 = function $$inherited(klass) {\n      var self = this;\n\n      \n      klass.$$proto.$to_a = function() {\n        return this.slice(0, this.length);\n      }\n    \n    }, TMP_Array_inherited_116.$$arity = 1);\n    \n    Opal.def(self, '$instance_variables', TMP_Array_instance_variables_117 = function $$instance_variables() {\n      var TMP_118, self = this, $iter = TMP_Array_instance_variables_117.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n      if ($iter) TMP_Array_instance_variables_117.$$p = null;\n      // Prepare super implicit arguments\n      for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n        $zuper[$zuper_i] = arguments[$zuper_i];\n      }\n      return $send($send(self, Opal.find_super_dispatcher(self, 'instance_variables', TMP_Array_instance_variables_117, false), $zuper, $iter), 'reject', [], (TMP_118 = function(ivar){var self = TMP_118.$$s || this, $a;\nif (ivar == null) ivar = nil;\n      return ($truthy($a = /^@\\d+$/.test(ivar)) ? $a : ivar['$=='](\"@length\"))}, TMP_118.$$s = self, TMP_118.$$arity = 1, TMP_118))\n    }, TMP_Array_instance_variables_117.$$arity = 0);\n    $$($nesting, 'Opal').$pristine(self.$singleton_class(), \"allocate\");\n    $$($nesting, 'Opal').$pristine(self, \"copy_instance_variables\", \"initialize_dup\");\n    return (Opal.def(self, '$pack', TMP_Array_pack_119 = function $$pack($a_rest) {\n      var self = this, args;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      return self.$raise(\"To use Array#pack, you must first require 'corelib/array/pack'.\")\n    }, TMP_Array_pack_119.$$arity = -1), nil) && 'pack';\n  })($nesting[0], Array, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/hash\"] = function(Opal) {\n  function $rb_ge(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs >= rhs : lhs['$>='](rhs);\n  }\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $send = Opal.send, $hash2 = Opal.hash2, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$require', '$include', '$coerce_to?', '$[]', '$merge!', '$allocate', '$raise', '$coerce_to!', '$each', '$fetch', '$>=', '$>', '$==', '$compare_by_identity', '$lambda?', '$abs', '$arity', '$enum_for', '$size', '$respond_to?', '$class', '$dig', '$new', '$inspect', '$map', '$to_proc', '$flatten', '$eql?', '$default', '$dup', '$default_proc', '$default_proc=', '$-', '$default=', '$proc']);\n  \n  self.$require(\"corelib/enumerable\");\n  return (function($base, $super, $parent_nesting) {\n    function $Hash(){};\n    var self = $Hash = $klass($base, $super, 'Hash', $Hash);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Hash_$$_1, TMP_Hash_allocate_2, TMP_Hash_try_convert_3, TMP_Hash_initialize_4, TMP_Hash_$eq$eq_5, TMP_Hash_$gt$eq_7, TMP_Hash_$gt_8, TMP_Hash_$lt_9, TMP_Hash_$lt$eq_10, TMP_Hash_$$_11, TMP_Hash_$$$eq_12, TMP_Hash_assoc_13, TMP_Hash_clear_14, TMP_Hash_clone_15, TMP_Hash_compact_16, TMP_Hash_compact$B_17, TMP_Hash_compare_by_identity_18, TMP_Hash_compare_by_identity$q_19, TMP_Hash_default_20, TMP_Hash_default$eq_21, TMP_Hash_default_proc_22, TMP_Hash_default_proc$eq_23, TMP_Hash_delete_24, TMP_Hash_delete_if_25, TMP_Hash_dig_27, TMP_Hash_each_28, TMP_Hash_each_key_30, TMP_Hash_each_value_32, TMP_Hash_empty$q_34, TMP_Hash_fetch_35, TMP_Hash_fetch_values_36, TMP_Hash_flatten_38, TMP_Hash_has_key$q_39, TMP_Hash_has_value$q_40, TMP_Hash_hash_41, TMP_Hash_index_42, TMP_Hash_indexes_43, TMP_Hash_inspect_44, TMP_Hash_invert_45, TMP_Hash_keep_if_46, TMP_Hash_keys_48, TMP_Hash_length_49, TMP_Hash_merge_50, TMP_Hash_merge$B_51, TMP_Hash_rassoc_52, TMP_Hash_rehash_53, TMP_Hash_reject_54, TMP_Hash_reject$B_56, TMP_Hash_replace_58, TMP_Hash_select_59, TMP_Hash_select$B_61, TMP_Hash_shift_63, TMP_Hash_slice_64, TMP_Hash_to_a_65, TMP_Hash_to_h_66, TMP_Hash_to_hash_67, TMP_Hash_to_proc_69, TMP_Hash_transform_keys_70, TMP_Hash_transform_keys$B_72, TMP_Hash_transform_values_74, TMP_Hash_transform_values$B_76, TMP_Hash_values_78;\n\n    \n    self.$include($$($nesting, 'Enumerable'));\n    def.$$is_hash = true;\n    Opal.defs(self, '$[]', TMP_Hash_$$_1 = function($a_rest) {\n      var self = this, argv;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      argv = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        argv[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      var hash, argc = argv.length, i;\n\n      if (argc === 1) {\n        hash = $$($nesting, 'Opal')['$coerce_to?'](argv['$[]'](0), $$($nesting, 'Hash'), \"to_hash\");\n        if (hash !== nil) {\n          return self.$allocate()['$merge!'](hash);\n        }\n\n        argv = $$($nesting, 'Opal')['$coerce_to?'](argv['$[]'](0), $$($nesting, 'Array'), \"to_ary\");\n        if (argv === nil) {\n          self.$raise($$($nesting, 'ArgumentError'), \"odd number of arguments for Hash\")\n        }\n\n        argc = argv.length;\n        hash = self.$allocate();\n\n        for (i = 0; i < argc; i++) {\n          if (!argv[i].$$is_array) continue;\n          switch(argv[i].length) {\n          case 1:\n            hash.$store(argv[i][0], nil);\n            break;\n          case 2:\n            hash.$store(argv[i][0], argv[i][1]);\n            break;\n          default:\n            self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid number of elements (\" + (argv[i].length) + \" for 1..2)\")\n          }\n        }\n\n        return hash;\n      }\n\n      if (argc % 2 !== 0) {\n        self.$raise($$($nesting, 'ArgumentError'), \"odd number of arguments for Hash\")\n      }\n\n      hash = self.$allocate();\n\n      for (i = 0; i < argc; i += 2) {\n        hash.$store(argv[i], argv[i + 1]);\n      }\n\n      return hash;\n    \n    }, TMP_Hash_$$_1.$$arity = -1);\n    Opal.defs(self, '$allocate', TMP_Hash_allocate_2 = function $$allocate() {\n      var self = this;\n\n      \n      var hash = new self.$$alloc();\n\n      Opal.hash_init(hash);\n\n      hash.$$none = nil;\n      hash.$$proc = nil;\n\n      return hash;\n    \n    }, TMP_Hash_allocate_2.$$arity = 0);\n    Opal.defs(self, '$try_convert', TMP_Hash_try_convert_3 = function $$try_convert(obj) {\n      var self = this;\n\n      return $$($nesting, 'Opal')['$coerce_to?'](obj, $$($nesting, 'Hash'), \"to_hash\")\n    }, TMP_Hash_try_convert_3.$$arity = 1);\n    \n    Opal.def(self, '$initialize', TMP_Hash_initialize_4 = function $$initialize(defaults) {\n      var self = this, $iter = TMP_Hash_initialize_4.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_initialize_4.$$p = null;\n      \n      if (defaults !== undefined && block !== nil) {\n        self.$raise($$($nesting, 'ArgumentError'), \"wrong number of arguments (1 for 0)\")\n      }\n      self.$$none = (defaults === undefined ? nil : defaults);\n      self.$$proc = block;\n\n      return self;\n    \n    }, TMP_Hash_initialize_4.$$arity = -1);\n    \n    Opal.def(self, '$==', TMP_Hash_$eq$eq_5 = function(other) {\n      var self = this;\n\n      \n      if (self === other) {\n        return true;\n      }\n\n      if (!other.$$is_hash) {\n        return false;\n      }\n\n      if (self.$$keys.length !== other.$$keys.length) {\n        return false;\n      }\n\n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value, other_value; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n          other_value = other.$$smap[key];\n        } else {\n          value = key.value;\n          other_value = Opal.hash_get(other, key.key);\n        }\n\n        if (other_value === undefined || !value['$eql?'](other_value)) {\n          return false;\n        }\n      }\n\n      return true;\n    \n    }, TMP_Hash_$eq$eq_5.$$arity = 1);\n    \n    Opal.def(self, '$>=', TMP_Hash_$gt$eq_7 = function(other) {\n      var TMP_6, self = this, result = nil;\n\n      \n      other = $$($nesting, 'Opal')['$coerce_to!'](other, $$($nesting, 'Hash'), \"to_hash\");\n      \n      if (self.$$keys.length < other.$$keys.length) {\n        return false\n      }\n    ;\n      result = true;\n      $send(other, 'each', [], (TMP_6 = function(other_key, other_val){var self = TMP_6.$$s || this, val = nil;\nif (other_key == null) other_key = nil;if (other_val == null) other_val = nil;\n      \n        val = self.$fetch(other_key, null);\n        \n        if (val == null || val !== other_val) {\n          result = false;\n          return;\n        }\n      ;}, TMP_6.$$s = self, TMP_6.$$arity = 2, TMP_6));\n      return result;\n    }, TMP_Hash_$gt$eq_7.$$arity = 1);\n    \n    Opal.def(self, '$>', TMP_Hash_$gt_8 = function(other) {\n      var self = this;\n\n      \n      other = $$($nesting, 'Opal')['$coerce_to!'](other, $$($nesting, 'Hash'), \"to_hash\");\n      \n      if (self.$$keys.length <= other.$$keys.length) {\n        return false\n      }\n    ;\n      return $rb_ge(self, other);\n    }, TMP_Hash_$gt_8.$$arity = 1);\n    \n    Opal.def(self, '$<', TMP_Hash_$lt_9 = function(other) {\n      var self = this;\n\n      \n      other = $$($nesting, 'Opal')['$coerce_to!'](other, $$($nesting, 'Hash'), \"to_hash\");\n      return $rb_gt(other, self);\n    }, TMP_Hash_$lt_9.$$arity = 1);\n    \n    Opal.def(self, '$<=', TMP_Hash_$lt$eq_10 = function(other) {\n      var self = this;\n\n      \n      other = $$($nesting, 'Opal')['$coerce_to!'](other, $$($nesting, 'Hash'), \"to_hash\");\n      return $rb_ge(other, self);\n    }, TMP_Hash_$lt$eq_10.$$arity = 1);\n    \n    Opal.def(self, '$[]', TMP_Hash_$$_11 = function(key) {\n      var self = this;\n\n      \n      var value = Opal.hash_get(self, key);\n\n      if (value !== undefined) {\n        return value;\n      }\n\n      return self.$default(key);\n    \n    }, TMP_Hash_$$_11.$$arity = 1);\n    \n    Opal.def(self, '$[]=', TMP_Hash_$$$eq_12 = function(key, value) {\n      var self = this;\n\n      \n      Opal.hash_put(self, key, value);\n      return value;\n    \n    }, TMP_Hash_$$$eq_12.$$arity = 2);\n    \n    Opal.def(self, '$assoc', TMP_Hash_assoc_13 = function $$assoc(object) {\n      var self = this;\n\n      \n      for (var i = 0, keys = self.$$keys, length = keys.length, key; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          if ((key)['$=='](object)) {\n            return [key, self.$$smap[key]];\n          }\n        } else {\n          if ((key.key)['$=='](object)) {\n            return [key.key, key.value];\n          }\n        }\n      }\n\n      return nil;\n    \n    }, TMP_Hash_assoc_13.$$arity = 1);\n    \n    Opal.def(self, '$clear', TMP_Hash_clear_14 = function $$clear() {\n      var self = this;\n\n      \n      Opal.hash_init(self);\n      return self;\n    \n    }, TMP_Hash_clear_14.$$arity = 0);\n    \n    Opal.def(self, '$clone', TMP_Hash_clone_15 = function $$clone() {\n      var self = this;\n\n      \n      var hash = new self.$$class.$$alloc();\n\n      Opal.hash_init(hash);\n      Opal.hash_clone(self, hash);\n\n      return hash;\n    \n    }, TMP_Hash_clone_15.$$arity = 0);\n    \n    Opal.def(self, '$compact', TMP_Hash_compact_16 = function $$compact() {\n      var self = this;\n\n      \n      var hash = Opal.hash();\n\n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value, obj; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        if (value !== nil) {\n          Opal.hash_put(hash, key, value);\n        }\n      }\n\n      return hash;\n    \n    }, TMP_Hash_compact_16.$$arity = 0);\n    \n    Opal.def(self, '$compact!', TMP_Hash_compact$B_17 = function() {\n      var self = this;\n\n      \n      var changes_were_made = false;\n\n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value, obj; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        if (value === nil) {\n          if (Opal.hash_delete(self, key) !== undefined) {\n            changes_were_made = true;\n            length--;\n            i--;\n          }\n        }\n      }\n\n      return changes_were_made ? self : nil;\n    \n    }, TMP_Hash_compact$B_17.$$arity = 0);\n    \n    Opal.def(self, '$compare_by_identity', TMP_Hash_compare_by_identity_18 = function $$compare_by_identity() {\n      var self = this;\n\n      \n      var i, ii, key, keys = self.$$keys, identity_hash;\n\n      if (self.$$by_identity) return self;\n      if (self.$$keys.length === 0) {\n        self.$$by_identity = true\n        return self;\n      }\n\n      identity_hash = $hash2([], {}).$compare_by_identity();\n      for(i = 0, ii = keys.length; i < ii; i++) {\n        key = keys[i];\n        if (!key.$$is_string) key = key.key;\n        Opal.hash_put(identity_hash, key, Opal.hash_get(self, key));\n      }\n\n      self.$$by_identity = true;\n      self.$$map = identity_hash.$$map;\n      self.$$smap = identity_hash.$$smap;\n      return self;\n    \n    }, TMP_Hash_compare_by_identity_18.$$arity = 0);\n    \n    Opal.def(self, '$compare_by_identity?', TMP_Hash_compare_by_identity$q_19 = function() {\n      var self = this;\n\n      return self.$$by_identity === true;\n    }, TMP_Hash_compare_by_identity$q_19.$$arity = 0);\n    \n    Opal.def(self, '$default', TMP_Hash_default_20 = function(key) {\n      var self = this;\n\n      \n      if (key !== undefined && self.$$proc !== nil && self.$$proc !== undefined) {\n        return self.$$proc.$call(self, key);\n      }\n      if (self.$$none === undefined) {\n        return nil;\n      }\n      return self.$$none;\n    \n    }, TMP_Hash_default_20.$$arity = -1);\n    \n    Opal.def(self, '$default=', TMP_Hash_default$eq_21 = function(object) {\n      var self = this;\n\n      \n      self.$$proc = nil;\n      self.$$none = object;\n\n      return object;\n    \n    }, TMP_Hash_default$eq_21.$$arity = 1);\n    \n    Opal.def(self, '$default_proc', TMP_Hash_default_proc_22 = function $$default_proc() {\n      var self = this;\n\n      \n      if (self.$$proc !== undefined) {\n        return self.$$proc;\n      }\n      return nil;\n    \n    }, TMP_Hash_default_proc_22.$$arity = 0);\n    \n    Opal.def(self, '$default_proc=', TMP_Hash_default_proc$eq_23 = function(default_proc) {\n      var self = this;\n\n      \n      var proc = default_proc;\n\n      if (proc !== nil) {\n        proc = $$($nesting, 'Opal')['$coerce_to!'](proc, $$($nesting, 'Proc'), \"to_proc\");\n\n        if ((proc)['$lambda?']() && (proc).$arity().$abs() !== 2) {\n          self.$raise($$($nesting, 'TypeError'), \"default_proc takes two arguments\");\n        }\n      }\n\n      self.$$none = nil;\n      self.$$proc = proc;\n\n      return default_proc;\n    \n    }, TMP_Hash_default_proc$eq_23.$$arity = 1);\n    \n    Opal.def(self, '$delete', TMP_Hash_delete_24 = function(key) {\n      var self = this, $iter = TMP_Hash_delete_24.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_delete_24.$$p = null;\n      \n      var value = Opal.hash_delete(self, key);\n\n      if (value !== undefined) {\n        return value;\n      }\n\n      if (block !== nil) {\n        return Opal.yield1(block, key);\n      }\n\n      return nil;\n    \n    }, TMP_Hash_delete_24.$$arity = 1);\n    \n    Opal.def(self, '$delete_if', TMP_Hash_delete_if_25 = function $$delete_if() {\n      var TMP_26, self = this, $iter = TMP_Hash_delete_if_25.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_delete_if_25.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"delete_if\"], (TMP_26 = function(){var self = TMP_26.$$s || this;\n\n        return self.$size()}, TMP_26.$$s = self, TMP_26.$$arity = 0, TMP_26))\n      };\n      \n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value, obj; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        obj = block(key, value);\n\n        if (obj !== false && obj !== nil) {\n          if (Opal.hash_delete(self, key) !== undefined) {\n            length--;\n            i--;\n          }\n        }\n      }\n\n      return self;\n    ;\n    }, TMP_Hash_delete_if_25.$$arity = 0);\n    Opal.alias(self, \"dup\", \"clone\");\n    \n    Opal.def(self, '$dig', TMP_Hash_dig_27 = function $$dig(key, $a_rest) {\n      var self = this, keys, item = nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 1;\n      if ($rest_len < 0) { $rest_len = 0; }\n      keys = new Array($rest_len);\n      for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n        keys[$arg_idx - 1] = arguments[$arg_idx];\n      }\n      \n      item = self['$[]'](key);\n      \n      if (item === nil || keys.length === 0) {\n        return item;\n      }\n    ;\n      if ($truthy(item['$respond_to?'](\"dig\"))) {\n      } else {\n        self.$raise($$($nesting, 'TypeError'), \"\" + (item.$class()) + \" does not have #dig method\")\n      };\n      return $send(item, 'dig', Opal.to_a(keys));\n    }, TMP_Hash_dig_27.$$arity = -2);\n    \n    Opal.def(self, '$each', TMP_Hash_each_28 = function $$each() {\n      var TMP_29, self = this, $iter = TMP_Hash_each_28.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_each_28.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"each\"], (TMP_29 = function(){var self = TMP_29.$$s || this;\n\n        return self.$size()}, TMP_29.$$s = self, TMP_29.$$arity = 0, TMP_29))\n      };\n      \n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        Opal.yield1(block, [key, value]);\n      }\n\n      return self;\n    ;\n    }, TMP_Hash_each_28.$$arity = 0);\n    \n    Opal.def(self, '$each_key', TMP_Hash_each_key_30 = function $$each_key() {\n      var TMP_31, self = this, $iter = TMP_Hash_each_key_30.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_each_key_30.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"each_key\"], (TMP_31 = function(){var self = TMP_31.$$s || this;\n\n        return self.$size()}, TMP_31.$$s = self, TMP_31.$$arity = 0, TMP_31))\n      };\n      \n      for (var i = 0, keys = self.$$keys, length = keys.length, key; i < length; i++) {\n        key = keys[i];\n\n        block(key.$$is_string ? key : key.key);\n      }\n\n      return self;\n    ;\n    }, TMP_Hash_each_key_30.$$arity = 0);\n    Opal.alias(self, \"each_pair\", \"each\");\n    \n    Opal.def(self, '$each_value', TMP_Hash_each_value_32 = function $$each_value() {\n      var TMP_33, self = this, $iter = TMP_Hash_each_value_32.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_each_value_32.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"each_value\"], (TMP_33 = function(){var self = TMP_33.$$s || this;\n\n        return self.$size()}, TMP_33.$$s = self, TMP_33.$$arity = 0, TMP_33))\n      };\n      \n      for (var i = 0, keys = self.$$keys, length = keys.length, key; i < length; i++) {\n        key = keys[i];\n\n        block(key.$$is_string ? self.$$smap[key] : key.value);\n      }\n\n      return self;\n    ;\n    }, TMP_Hash_each_value_32.$$arity = 0);\n    \n    Opal.def(self, '$empty?', TMP_Hash_empty$q_34 = function() {\n      var self = this;\n\n      return self.$$keys.length === 0;\n    }, TMP_Hash_empty$q_34.$$arity = 0);\n    Opal.alias(self, \"eql?\", \"==\");\n    \n    Opal.def(self, '$fetch', TMP_Hash_fetch_35 = function $$fetch(key, defaults) {\n      var self = this, $iter = TMP_Hash_fetch_35.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_fetch_35.$$p = null;\n      \n      \n      var value = Opal.hash_get(self, key);\n\n      if (value !== undefined) {\n        return value;\n      }\n\n      if (block !== nil) {\n        return block(key);\n      }\n\n      if (defaults !== undefined) {\n        return defaults;\n      }\n    ;\n      return self.$raise($$($nesting, 'KeyError').$new(\"\" + \"key not found: \" + (key.$inspect()), $hash2([\"key\", \"receiver\"], {\"key\": key, \"receiver\": self})));\n    }, TMP_Hash_fetch_35.$$arity = -2);\n    \n    Opal.def(self, '$fetch_values', TMP_Hash_fetch_values_36 = function $$fetch_values($a_rest) {\n      var TMP_37, self = this, keys, $iter = TMP_Hash_fetch_values_36.$$p, block = $iter || nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      keys = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        keys[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Hash_fetch_values_36.$$p = null;\n      return $send(keys, 'map', [], (TMP_37 = function(key){var self = TMP_37.$$s || this;\nif (key == null) key = nil;\n      return $send(self, 'fetch', [key], block.$to_proc())}, TMP_37.$$s = self, TMP_37.$$arity = 1, TMP_37))\n    }, TMP_Hash_fetch_values_36.$$arity = -1);\n    \n    Opal.def(self, '$flatten', TMP_Hash_flatten_38 = function $$flatten(level) {\n      var self = this;\n\n      if (level == null) {\n        level = 1;\n      }\n      \n      level = $$($nesting, 'Opal')['$coerce_to!'](level, $$($nesting, 'Integer'), \"to_int\");\n      \n      var result = [];\n\n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        result.push(key);\n\n        if (value.$$is_array) {\n          if (level === 1) {\n            result.push(value);\n            continue;\n          }\n\n          result = result.concat((value).$flatten(level - 2));\n          continue;\n        }\n\n        result.push(value);\n      }\n\n      return result;\n    ;\n    }, TMP_Hash_flatten_38.$$arity = -1);\n    \n    Opal.def(self, '$has_key?', TMP_Hash_has_key$q_39 = function(key) {\n      var self = this;\n\n      return Opal.hash_get(self, key) !== undefined;\n    }, TMP_Hash_has_key$q_39.$$arity = 1);\n    \n    Opal.def(self, '$has_value?', TMP_Hash_has_value$q_40 = function(value) {\n      var self = this;\n\n      \n      for (var i = 0, keys = self.$$keys, length = keys.length, key; i < length; i++) {\n        key = keys[i];\n\n        if (((key.$$is_string ? self.$$smap[key] : key.value))['$=='](value)) {\n          return true;\n        }\n      }\n\n      return false;\n    \n    }, TMP_Hash_has_value$q_40.$$arity = 1);\n    \n    Opal.def(self, '$hash', TMP_Hash_hash_41 = function $$hash() {\n      var self = this;\n\n      \n      var top = (Opal.hash_ids === undefined),\n          hash_id = self.$object_id(),\n          result = ['Hash'],\n          key, item;\n\n      try {\n        if (top) {\n          Opal.hash_ids = Object.create(null);\n        }\n\n        if (Opal[hash_id]) {\n          return 'self';\n        }\n\n        for (key in Opal.hash_ids) {\n          item = Opal.hash_ids[key];\n          if (self['$eql?'](item)) {\n            return 'self';\n          }\n        }\n\n        Opal.hash_ids[hash_id] = self;\n\n        for (var i = 0, keys = self.$$keys, length = keys.length; i < length; i++) {\n          key = keys[i];\n\n          if (key.$$is_string) {\n            result.push([key, self.$$smap[key].$hash()]);\n          } else {\n            result.push([key.key_hash, key.value.$hash()]);\n          }\n        }\n\n        return result.sort().join();\n\n      } finally {\n        if (top) {\n          Opal.hash_ids = undefined;\n        }\n      }\n    \n    }, TMP_Hash_hash_41.$$arity = 0);\n    Opal.alias(self, \"include?\", \"has_key?\");\n    \n    Opal.def(self, '$index', TMP_Hash_index_42 = function $$index(object) {\n      var self = this;\n\n      \n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        if ((value)['$=='](object)) {\n          return key;\n        }\n      }\n\n      return nil;\n    \n    }, TMP_Hash_index_42.$$arity = 1);\n    \n    Opal.def(self, '$indexes', TMP_Hash_indexes_43 = function $$indexes($a_rest) {\n      var self = this, args;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      var result = [];\n\n      for (var i = 0, length = args.length, key, value; i < length; i++) {\n        key = args[i];\n        value = Opal.hash_get(self, key);\n\n        if (value === undefined) {\n          result.push(self.$default());\n          continue;\n        }\n\n        result.push(value);\n      }\n\n      return result;\n    \n    }, TMP_Hash_indexes_43.$$arity = -1);\n    Opal.alias(self, \"indices\", \"indexes\");\n    var inspect_ids;\n    \n    Opal.def(self, '$inspect', TMP_Hash_inspect_44 = function $$inspect() {\n      var self = this;\n\n      \n      var top = (inspect_ids === undefined),\n          hash_id = self.$object_id(),\n          result = [];\n\n      try {\n        if (top) {\n          inspect_ids = {};\n        }\n\n        if (inspect_ids.hasOwnProperty(hash_id)) {\n          return '{...}';\n        }\n\n        inspect_ids[hash_id] = true;\n\n        for (var i = 0, keys = self.$$keys, length = keys.length, key, value; i < length; i++) {\n          key = keys[i];\n\n          if (key.$$is_string) {\n            value = self.$$smap[key];\n          } else {\n            value = key.value;\n            key = key.key;\n          }\n\n          result.push(key.$inspect() + '=>' + value.$inspect());\n        }\n\n        return '{' + result.join(', ') + '}';\n\n      } finally {\n        if (top) {\n          inspect_ids = undefined;\n        }\n      }\n    \n    }, TMP_Hash_inspect_44.$$arity = 0);\n    \n    Opal.def(self, '$invert', TMP_Hash_invert_45 = function $$invert() {\n      var self = this;\n\n      \n      var hash = Opal.hash();\n\n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        Opal.hash_put(hash, value, key);\n      }\n\n      return hash;\n    \n    }, TMP_Hash_invert_45.$$arity = 0);\n    \n    Opal.def(self, '$keep_if', TMP_Hash_keep_if_46 = function $$keep_if() {\n      var TMP_47, self = this, $iter = TMP_Hash_keep_if_46.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_keep_if_46.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"keep_if\"], (TMP_47 = function(){var self = TMP_47.$$s || this;\n\n        return self.$size()}, TMP_47.$$s = self, TMP_47.$$arity = 0, TMP_47))\n      };\n      \n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value, obj; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        obj = block(key, value);\n\n        if (obj === false || obj === nil) {\n          if (Opal.hash_delete(self, key) !== undefined) {\n            length--;\n            i--;\n          }\n        }\n      }\n\n      return self;\n    ;\n    }, TMP_Hash_keep_if_46.$$arity = 0);\n    Opal.alias(self, \"key\", \"index\");\n    Opal.alias(self, \"key?\", \"has_key?\");\n    \n    Opal.def(self, '$keys', TMP_Hash_keys_48 = function $$keys() {\n      var self = this;\n\n      \n      var result = [];\n\n      for (var i = 0, keys = self.$$keys, length = keys.length, key; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          result.push(key);\n        } else {\n          result.push(key.key);\n        }\n      }\n\n      return result;\n    \n    }, TMP_Hash_keys_48.$$arity = 0);\n    \n    Opal.def(self, '$length', TMP_Hash_length_49 = function $$length() {\n      var self = this;\n\n      return self.$$keys.length;\n    }, TMP_Hash_length_49.$$arity = 0);\n    Opal.alias(self, \"member?\", \"has_key?\");\n    \n    Opal.def(self, '$merge', TMP_Hash_merge_50 = function $$merge(other) {\n      var self = this, $iter = TMP_Hash_merge_50.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_merge_50.$$p = null;\n      return $send(self.$dup(), 'merge!', [other], block.$to_proc())\n    }, TMP_Hash_merge_50.$$arity = 1);\n    \n    Opal.def(self, '$merge!', TMP_Hash_merge$B_51 = function(other) {\n      var self = this, $iter = TMP_Hash_merge$B_51.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_merge$B_51.$$p = null;\n      \n      if (!other.$$is_hash) {\n        other = $$($nesting, 'Opal')['$coerce_to!'](other, $$($nesting, 'Hash'), \"to_hash\");\n      }\n\n      var i, other_keys = other.$$keys, length = other_keys.length, key, value, other_value;\n\n      if (block === nil) {\n        for (i = 0; i < length; i++) {\n          key = other_keys[i];\n\n          if (key.$$is_string) {\n            other_value = other.$$smap[key];\n          } else {\n            other_value = key.value;\n            key = key.key;\n          }\n\n          Opal.hash_put(self, key, other_value);\n        }\n\n        return self;\n      }\n\n      for (i = 0; i < length; i++) {\n        key = other_keys[i];\n\n        if (key.$$is_string) {\n          other_value = other.$$smap[key];\n        } else {\n          other_value = key.value;\n          key = key.key;\n        }\n\n        value = Opal.hash_get(self, key);\n\n        if (value === undefined) {\n          Opal.hash_put(self, key, other_value);\n          continue;\n        }\n\n        Opal.hash_put(self, key, block(key, value, other_value));\n      }\n\n      return self;\n    \n    }, TMP_Hash_merge$B_51.$$arity = 1);\n    \n    Opal.def(self, '$rassoc', TMP_Hash_rassoc_52 = function $$rassoc(object) {\n      var self = this;\n\n      \n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        if ((value)['$=='](object)) {\n          return [key, value];\n        }\n      }\n\n      return nil;\n    \n    }, TMP_Hash_rassoc_52.$$arity = 1);\n    \n    Opal.def(self, '$rehash', TMP_Hash_rehash_53 = function $$rehash() {\n      var self = this;\n\n      \n      Opal.hash_rehash(self);\n      return self;\n    \n    }, TMP_Hash_rehash_53.$$arity = 0);\n    \n    Opal.def(self, '$reject', TMP_Hash_reject_54 = function $$reject() {\n      var TMP_55, self = this, $iter = TMP_Hash_reject_54.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_reject_54.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"reject\"], (TMP_55 = function(){var self = TMP_55.$$s || this;\n\n        return self.$size()}, TMP_55.$$s = self, TMP_55.$$arity = 0, TMP_55))\n      };\n      \n      var hash = Opal.hash();\n\n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value, obj; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        obj = block(key, value);\n\n        if (obj === false || obj === nil) {\n          Opal.hash_put(hash, key, value);\n        }\n      }\n\n      return hash;\n    ;\n    }, TMP_Hash_reject_54.$$arity = 0);\n    \n    Opal.def(self, '$reject!', TMP_Hash_reject$B_56 = function() {\n      var TMP_57, self = this, $iter = TMP_Hash_reject$B_56.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_reject$B_56.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"reject!\"], (TMP_57 = function(){var self = TMP_57.$$s || this;\n\n        return self.$size()}, TMP_57.$$s = self, TMP_57.$$arity = 0, TMP_57))\n      };\n      \n      var changes_were_made = false;\n\n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value, obj; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        obj = block(key, value);\n\n        if (obj !== false && obj !== nil) {\n          if (Opal.hash_delete(self, key) !== undefined) {\n            changes_were_made = true;\n            length--;\n            i--;\n          }\n        }\n      }\n\n      return changes_were_made ? self : nil;\n    ;\n    }, TMP_Hash_reject$B_56.$$arity = 0);\n    \n    Opal.def(self, '$replace', TMP_Hash_replace_58 = function $$replace(other) {\n      var self = this, $writer = nil;\n\n      \n      other = $$($nesting, 'Opal')['$coerce_to!'](other, $$($nesting, 'Hash'), \"to_hash\");\n      \n      Opal.hash_init(self);\n\n      for (var i = 0, other_keys = other.$$keys, length = other_keys.length, key, value, other_value; i < length; i++) {\n        key = other_keys[i];\n\n        if (key.$$is_string) {\n          other_value = other.$$smap[key];\n        } else {\n          other_value = key.value;\n          key = key.key;\n        }\n\n        Opal.hash_put(self, key, other_value);\n      }\n    ;\n      if ($truthy(other.$default_proc())) {\n        \n        $writer = [other.$default_proc()];\n        $send(self, 'default_proc=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];\n      } else {\n        \n        $writer = [other.$default()];\n        $send(self, 'default=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];\n      };\n      return self;\n    }, TMP_Hash_replace_58.$$arity = 1);\n    \n    Opal.def(self, '$select', TMP_Hash_select_59 = function $$select() {\n      var TMP_60, self = this, $iter = TMP_Hash_select_59.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_select_59.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"select\"], (TMP_60 = function(){var self = TMP_60.$$s || this;\n\n        return self.$size()}, TMP_60.$$s = self, TMP_60.$$arity = 0, TMP_60))\n      };\n      \n      var hash = Opal.hash();\n\n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value, obj; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        obj = block(key, value);\n\n        if (obj !== false && obj !== nil) {\n          Opal.hash_put(hash, key, value);\n        }\n      }\n\n      return hash;\n    ;\n    }, TMP_Hash_select_59.$$arity = 0);\n    \n    Opal.def(self, '$select!', TMP_Hash_select$B_61 = function() {\n      var TMP_62, self = this, $iter = TMP_Hash_select$B_61.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_select$B_61.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"select!\"], (TMP_62 = function(){var self = TMP_62.$$s || this;\n\n        return self.$size()}, TMP_62.$$s = self, TMP_62.$$arity = 0, TMP_62))\n      };\n      \n      var result = nil;\n\n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value, obj; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        obj = block(key, value);\n\n        if (obj === false || obj === nil) {\n          if (Opal.hash_delete(self, key) !== undefined) {\n            length--;\n            i--;\n          }\n          result = self;\n        }\n      }\n\n      return result;\n    ;\n    }, TMP_Hash_select$B_61.$$arity = 0);\n    \n    Opal.def(self, '$shift', TMP_Hash_shift_63 = function $$shift() {\n      var self = this;\n\n      \n      var keys = self.$$keys,\n          key;\n\n      if (keys.length > 0) {\n        key = keys[0];\n\n        key = key.$$is_string ? key : key.key;\n\n        return [key, Opal.hash_delete(self, key)];\n      }\n\n      return self.$default(nil);\n    \n    }, TMP_Hash_shift_63.$$arity = 0);\n    Opal.alias(self, \"size\", \"length\");\n    \n    Opal.def(self, '$slice', TMP_Hash_slice_64 = function $$slice($a_rest) {\n      var self = this, keys;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      keys = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        keys[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      var result = Opal.hash();\n\n      for (var i = 0, length = keys.length; i < length; i++) {\n        var key = keys[i], value = Opal.hash_get(self, key);\n\n        if (value !== undefined) {\n          Opal.hash_put(result, key, value);\n        }\n      }\n\n      return result;\n    \n    }, TMP_Hash_slice_64.$$arity = -1);\n    Opal.alias(self, \"store\", \"[]=\");\n    \n    Opal.def(self, '$to_a', TMP_Hash_to_a_65 = function $$to_a() {\n      var self = this;\n\n      \n      var result = [];\n\n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        result.push([key, value]);\n      }\n\n      return result;\n    \n    }, TMP_Hash_to_a_65.$$arity = 0);\n    \n    Opal.def(self, '$to_h', TMP_Hash_to_h_66 = function $$to_h() {\n      var self = this;\n\n      \n      if (self.$$class === Opal.Hash) {\n        return self;\n      }\n\n      var hash = new Opal.Hash.$$alloc();\n\n      Opal.hash_init(hash);\n      Opal.hash_clone(self, hash);\n\n      return hash;\n    \n    }, TMP_Hash_to_h_66.$$arity = 0);\n    \n    Opal.def(self, '$to_hash', TMP_Hash_to_hash_67 = function $$to_hash() {\n      var self = this;\n\n      return self\n    }, TMP_Hash_to_hash_67.$$arity = 0);\n    \n    Opal.def(self, '$to_proc', TMP_Hash_to_proc_69 = function $$to_proc() {\n      var TMP_68, self = this;\n\n      return $send(self, 'proc', [], (TMP_68 = function(key){var self = TMP_68.$$s || this;\n\n      \n        \n        if (key == null) {\n          self.$raise($$($nesting, 'ArgumentError'), \"no key given\")\n        }\n      ;\n        return self['$[]'](key);}, TMP_68.$$s = self, TMP_68.$$arity = -1, TMP_68))\n    }, TMP_Hash_to_proc_69.$$arity = 0);\n    Opal.alias(self, \"to_s\", \"inspect\");\n    \n    Opal.def(self, '$transform_keys', TMP_Hash_transform_keys_70 = function $$transform_keys() {\n      var TMP_71, self = this, $iter = TMP_Hash_transform_keys_70.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_transform_keys_70.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"transform_keys\"], (TMP_71 = function(){var self = TMP_71.$$s || this;\n\n        return self.$size()}, TMP_71.$$s = self, TMP_71.$$arity = 0, TMP_71))\n      };\n      \n      var result = Opal.hash();\n\n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        key = Opal.yield1(block, key);\n\n        Opal.hash_put(result, key, value);\n      }\n\n      return result;\n    ;\n    }, TMP_Hash_transform_keys_70.$$arity = 0);\n    \n    Opal.def(self, '$transform_keys!', TMP_Hash_transform_keys$B_72 = function() {\n      var TMP_73, self = this, $iter = TMP_Hash_transform_keys$B_72.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_transform_keys$B_72.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"transform_keys!\"], (TMP_73 = function(){var self = TMP_73.$$s || this;\n\n        return self.$size()}, TMP_73.$$s = self, TMP_73.$$arity = 0, TMP_73))\n      };\n      \n      var keys = Opal.slice.call(self.$$keys),\n          i, length = keys.length, key, value, new_key;\n\n      for (i = 0; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        new_key = Opal.yield1(block, key);\n\n        Opal.hash_delete(self, key);\n        Opal.hash_put(self, new_key, value);\n      }\n\n      return self;\n    ;\n    }, TMP_Hash_transform_keys$B_72.$$arity = 0);\n    \n    Opal.def(self, '$transform_values', TMP_Hash_transform_values_74 = function $$transform_values() {\n      var TMP_75, self = this, $iter = TMP_Hash_transform_values_74.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_transform_values_74.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"transform_values\"], (TMP_75 = function(){var self = TMP_75.$$s || this;\n\n        return self.$size()}, TMP_75.$$s = self, TMP_75.$$arity = 0, TMP_75))\n      };\n      \n      var result = Opal.hash();\n\n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        value = Opal.yield1(block, value);\n\n        Opal.hash_put(result, key, value);\n      }\n\n      return result;\n    ;\n    }, TMP_Hash_transform_values_74.$$arity = 0);\n    \n    Opal.def(self, '$transform_values!', TMP_Hash_transform_values$B_76 = function() {\n      var TMP_77, self = this, $iter = TMP_Hash_transform_values$B_76.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Hash_transform_values$B_76.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"transform_values!\"], (TMP_77 = function(){var self = TMP_77.$$s || this;\n\n        return self.$size()}, TMP_77.$$s = self, TMP_77.$$arity = 0, TMP_77))\n      };\n      \n      for (var i = 0, keys = self.$$keys, length = keys.length, key, value; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          value = self.$$smap[key];\n        } else {\n          value = key.value;\n          key = key.key;\n        }\n\n        value = Opal.yield1(block, value);\n\n        Opal.hash_put(self, key, value);\n      }\n\n      return self;\n    ;\n    }, TMP_Hash_transform_values$B_76.$$arity = 0);\n    Opal.alias(self, \"update\", \"merge!\");\n    Opal.alias(self, \"value?\", \"has_value?\");\n    Opal.alias(self, \"values_at\", \"indexes\");\n    return (Opal.def(self, '$values', TMP_Hash_values_78 = function $$values() {\n      var self = this;\n\n      \n      var result = [];\n\n      for (var i = 0, keys = self.$$keys, length = keys.length, key; i < length; i++) {\n        key = keys[i];\n\n        if (key.$$is_string) {\n          result.push(self.$$smap[key]);\n        } else {\n          result.push(key.value);\n        }\n      }\n\n      return result;\n    \n    }, TMP_Hash_values_78.$$arity = 0), nil) && 'values';\n  })($nesting[0], null, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/number\"] = function(Opal) {\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_divide(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs / rhs : lhs['$/'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_le(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs <= rhs : lhs['$<='](rhs);\n  }\n  function $rb_ge(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs >= rhs : lhs['$>='](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy, $send = Opal.send, $hash2 = Opal.hash2;\n\n  Opal.add_stubs(['$require', '$bridge', '$raise', '$name', '$class', '$Float', '$respond_to?', '$coerce_to!', '$__coerced__', '$===', '$!', '$>', '$**', '$new', '$<', '$to_f', '$==', '$nan?', '$infinite?', '$enum_for', '$+', '$-', '$gcd', '$lcm', '$%', '$/', '$frexp', '$to_i', '$ldexp', '$rationalize', '$*', '$<<', '$to_r', '$truncate', '$-@', '$size', '$<=', '$>=', '$<=>', '$compare', '$any?']);\n  \n  self.$require(\"corelib/numeric\");\n  (function($base, $super, $parent_nesting) {\n    function $Number(){};\n    var self = $Number = $klass($base, $super, 'Number', $Number);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Number_coerce_2, TMP_Number___id___3, TMP_Number_$_4, TMP_Number_$_5, TMP_Number_$_6, TMP_Number_$_7, TMP_Number_$_8, TMP_Number_$_9, TMP_Number_$_10, TMP_Number_$_11, TMP_Number_$lt_12, TMP_Number_$lt$eq_13, TMP_Number_$gt_14, TMP_Number_$gt$eq_15, TMP_Number_$lt$eq$gt_16, TMP_Number_$lt$lt_17, TMP_Number_$gt$gt_18, TMP_Number_$$_19, TMP_Number_$$_20, TMP_Number_$$_21, TMP_Number_$_22, TMP_Number_$$_23, TMP_Number_$eq$eq$eq_24, TMP_Number_$eq$eq_25, TMP_Number_abs_26, TMP_Number_abs2_27, TMP_Number_allbits$q_28, TMP_Number_anybits$q_29, TMP_Number_angle_30, TMP_Number_bit_length_31, TMP_Number_ceil_32, TMP_Number_chr_33, TMP_Number_denominator_34, TMP_Number_downto_35, TMP_Number_equal$q_37, TMP_Number_even$q_38, TMP_Number_floor_39, TMP_Number_gcd_40, TMP_Number_gcdlcm_41, TMP_Number_integer$q_42, TMP_Number_is_a$q_43, TMP_Number_instance_of$q_44, TMP_Number_lcm_45, TMP_Number_next_46, TMP_Number_nobits$q_47, TMP_Number_nonzero$q_48, TMP_Number_numerator_49, TMP_Number_odd$q_50, TMP_Number_ord_51, TMP_Number_pow_52, TMP_Number_pred_53, TMP_Number_quo_54, TMP_Number_rationalize_55, TMP_Number_remainder_56, TMP_Number_round_57, TMP_Number_step_58, TMP_Number_times_60, TMP_Number_to_f_62, TMP_Number_to_i_63, TMP_Number_to_r_64, TMP_Number_to_s_65, TMP_Number_truncate_66, TMP_Number_digits_67, TMP_Number_divmod_68, TMP_Number_upto_69, TMP_Number_zero$q_71, TMP_Number_size_72, TMP_Number_nan$q_73, TMP_Number_finite$q_74, TMP_Number_infinite$q_75, TMP_Number_positive$q_76, TMP_Number_negative$q_77;\n\n    \n    $$($nesting, 'Opal').$bridge(self, Number);\n    Number.prototype.$$is_number = true;\n    self.$$is_number_class = true;\n    (function(self, $parent_nesting) {\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_allocate_1;\n\n      \n      \n      Opal.def(self, '$allocate', TMP_allocate_1 = function $$allocate() {\n        var self = this;\n\n        return self.$raise($$($nesting, 'TypeError'), \"\" + \"allocator undefined for \" + (self.$name()))\n      }, TMP_allocate_1.$$arity = 0);\n      \n      \n      Opal.udef(self, '$' + \"new\");;\n      return nil;;\n    })(Opal.get_singleton_class(self), $nesting);\n    \n    Opal.def(self, '$coerce', TMP_Number_coerce_2 = function $$coerce(other) {\n      var self = this;\n\n      \n      if (other === nil) {\n        self.$raise($$($nesting, 'TypeError'), \"\" + \"can't convert \" + (other.$class()) + \" into Float\");\n      }\n      else if (other.$$is_string) {\n        return [self.$Float(other), self];\n      }\n      else if (other['$respond_to?'](\"to_f\")) {\n        return [$$($nesting, 'Opal')['$coerce_to!'](other, $$($nesting, 'Float'), \"to_f\"), self];\n      }\n      else if (other.$$is_number) {\n        return [other, self];\n      }\n      else {\n        self.$raise($$($nesting, 'TypeError'), \"\" + \"can't convert \" + (other.$class()) + \" into Float\");\n      }\n    \n    }, TMP_Number_coerce_2.$$arity = 1);\n    \n    Opal.def(self, '$__id__', TMP_Number___id___3 = function $$__id__() {\n      var self = this;\n\n      return (self * 2) + 1;\n    }, TMP_Number___id___3.$$arity = 0);\n    Opal.alias(self, \"object_id\", \"__id__\");\n    \n    Opal.def(self, '$+', TMP_Number_$_4 = function(other) {\n      var self = this;\n\n      \n      if (other.$$is_number) {\n        return self + other;\n      }\n      else {\n        return self.$__coerced__(\"+\", other);\n      }\n    \n    }, TMP_Number_$_4.$$arity = 1);\n    \n    Opal.def(self, '$-', TMP_Number_$_5 = function(other) {\n      var self = this;\n\n      \n      if (other.$$is_number) {\n        return self - other;\n      }\n      else {\n        return self.$__coerced__(\"-\", other);\n      }\n    \n    }, TMP_Number_$_5.$$arity = 1);\n    \n    Opal.def(self, '$*', TMP_Number_$_6 = function(other) {\n      var self = this;\n\n      \n      if (other.$$is_number) {\n        return self * other;\n      }\n      else {\n        return self.$__coerced__(\"*\", other);\n      }\n    \n    }, TMP_Number_$_6.$$arity = 1);\n    \n    Opal.def(self, '$/', TMP_Number_$_7 = function(other) {\n      var self = this;\n\n      \n      if (other.$$is_number) {\n        return self / other;\n      }\n      else {\n        return self.$__coerced__(\"/\", other);\n      }\n    \n    }, TMP_Number_$_7.$$arity = 1);\n    Opal.alias(self, \"fdiv\", \"/\");\n    \n    Opal.def(self, '$%', TMP_Number_$_8 = function(other) {\n      var self = this;\n\n      \n      if (other.$$is_number) {\n        if (other == -Infinity) {\n          return other;\n        }\n        else if (other == 0) {\n          self.$raise($$($nesting, 'ZeroDivisionError'), \"divided by 0\");\n        }\n        else if (other < 0 || self < 0) {\n          return (self % other + other) % other;\n        }\n        else {\n          return self % other;\n        }\n      }\n      else {\n        return self.$__coerced__(\"%\", other);\n      }\n    \n    }, TMP_Number_$_8.$$arity = 1);\n    \n    Opal.def(self, '$&', TMP_Number_$_9 = function(other) {\n      var self = this;\n\n      \n      if (other.$$is_number) {\n        return self & other;\n      }\n      else {\n        return self.$__coerced__(\"&\", other);\n      }\n    \n    }, TMP_Number_$_9.$$arity = 1);\n    \n    Opal.def(self, '$|', TMP_Number_$_10 = function(other) {\n      var self = this;\n\n      \n      if (other.$$is_number) {\n        return self | other;\n      }\n      else {\n        return self.$__coerced__(\"|\", other);\n      }\n    \n    }, TMP_Number_$_10.$$arity = 1);\n    \n    Opal.def(self, '$^', TMP_Number_$_11 = function(other) {\n      var self = this;\n\n      \n      if (other.$$is_number) {\n        return self ^ other;\n      }\n      else {\n        return self.$__coerced__(\"^\", other);\n      }\n    \n    }, TMP_Number_$_11.$$arity = 1);\n    \n    Opal.def(self, '$<', TMP_Number_$lt_12 = function(other) {\n      var self = this;\n\n      \n      if (other.$$is_number) {\n        return self < other;\n      }\n      else {\n        return self.$__coerced__(\"<\", other);\n      }\n    \n    }, TMP_Number_$lt_12.$$arity = 1);\n    \n    Opal.def(self, '$<=', TMP_Number_$lt$eq_13 = function(other) {\n      var self = this;\n\n      \n      if (other.$$is_number) {\n        return self <= other;\n      }\n      else {\n        return self.$__coerced__(\"<=\", other);\n      }\n    \n    }, TMP_Number_$lt$eq_13.$$arity = 1);\n    \n    Opal.def(self, '$>', TMP_Number_$gt_14 = function(other) {\n      var self = this;\n\n      \n      if (other.$$is_number) {\n        return self > other;\n      }\n      else {\n        return self.$__coerced__(\">\", other);\n      }\n    \n    }, TMP_Number_$gt_14.$$arity = 1);\n    \n    Opal.def(self, '$>=', TMP_Number_$gt$eq_15 = function(other) {\n      var self = this;\n\n      \n      if (other.$$is_number) {\n        return self >= other;\n      }\n      else {\n        return self.$__coerced__(\">=\", other);\n      }\n    \n    }, TMP_Number_$gt$eq_15.$$arity = 1);\n    \n    var spaceship_operator = function(self, other) {\n      if (other.$$is_number) {\n        if (isNaN(self) || isNaN(other)) {\n          return nil;\n        }\n\n        if (self > other) {\n          return 1;\n        } else if (self < other) {\n          return -1;\n        } else {\n          return 0;\n        }\n      }\n      else {\n        return self.$__coerced__(\"<=>\", other);\n      }\n    }\n  ;\n    \n    Opal.def(self, '$<=>', TMP_Number_$lt$eq$gt_16 = function(other) {\n      var self = this;\n\n      try {\n        return spaceship_operator(self, other);\n      } catch ($err) {\n        if (Opal.rescue($err, [$$($nesting, 'ArgumentError')])) {\n          try {\n            return nil\n          } finally { Opal.pop_exception() }\n        } else { throw $err; }\n      }\n    }, TMP_Number_$lt$eq$gt_16.$$arity = 1);\n    \n    Opal.def(self, '$<<', TMP_Number_$lt$lt_17 = function(count) {\n      var self = this;\n\n      \n      count = $$($nesting, 'Opal')['$coerce_to!'](count, $$($nesting, 'Integer'), \"to_int\");\n      return count > 0 ? self << count : self >> -count;\n    }, TMP_Number_$lt$lt_17.$$arity = 1);\n    \n    Opal.def(self, '$>>', TMP_Number_$gt$gt_18 = function(count) {\n      var self = this;\n\n      \n      count = $$($nesting, 'Opal')['$coerce_to!'](count, $$($nesting, 'Integer'), \"to_int\");\n      return count > 0 ? self >> count : self << -count;\n    }, TMP_Number_$gt$gt_18.$$arity = 1);\n    \n    Opal.def(self, '$[]', TMP_Number_$$_19 = function(bit) {\n      var self = this;\n\n      \n      bit = $$($nesting, 'Opal')['$coerce_to!'](bit, $$($nesting, 'Integer'), \"to_int\");\n      \n      if (bit < 0) {\n        return 0;\n      }\n      if (bit >= 32) {\n        return self < 0 ? 1 : 0;\n      }\n      return (self >> bit) & 1;\n    ;\n    }, TMP_Number_$$_19.$$arity = 1);\n    \n    Opal.def(self, '$+@', TMP_Number_$$_20 = function() {\n      var self = this;\n\n      return +self;\n    }, TMP_Number_$$_20.$$arity = 0);\n    \n    Opal.def(self, '$-@', TMP_Number_$$_21 = function() {\n      var self = this;\n\n      return -self;\n    }, TMP_Number_$$_21.$$arity = 0);\n    \n    Opal.def(self, '$~', TMP_Number_$_22 = function() {\n      var self = this;\n\n      return ~self;\n    }, TMP_Number_$_22.$$arity = 0);\n    \n    Opal.def(self, '$**', TMP_Number_$$_23 = function(other) {\n      var $a, $b, self = this;\n\n      if ($truthy($$($nesting, 'Integer')['$==='](other))) {\n        if ($truthy(($truthy($a = $$($nesting, 'Integer')['$==='](self)['$!']()) ? $a : $rb_gt(other, 0)))) {\n          return Math.pow(self, other);\n        } else {\n          return $$($nesting, 'Rational').$new(self, 1)['$**'](other)\n        }\n      } else if ($truthy((($a = $rb_lt(self, 0)) ? ($truthy($b = $$($nesting, 'Float')['$==='](other)) ? $b : $$($nesting, 'Rational')['$==='](other)) : $rb_lt(self, 0)))) {\n        return $$($nesting, 'Complex').$new(self, 0)['$**'](other.$to_f())\n      } else if ($truthy(other.$$is_number != null)) {\n        return Math.pow(self, other);\n      } else {\n        return self.$__coerced__(\"**\", other)\n      }\n    }, TMP_Number_$$_23.$$arity = 1);\n    \n    Opal.def(self, '$===', TMP_Number_$eq$eq$eq_24 = function(other) {\n      var self = this;\n\n      \n      if (other.$$is_number) {\n        return self.valueOf() === other.valueOf();\n      }\n      else if (other['$respond_to?'](\"==\")) {\n        return other['$=='](self);\n      }\n      else {\n        return false;\n      }\n    \n    }, TMP_Number_$eq$eq$eq_24.$$arity = 1);\n    \n    Opal.def(self, '$==', TMP_Number_$eq$eq_25 = function(other) {\n      var self = this;\n\n      \n      if (other.$$is_number) {\n        return self.valueOf() === other.valueOf();\n      }\n      else if (other['$respond_to?'](\"==\")) {\n        return other['$=='](self);\n      }\n      else {\n        return false;\n      }\n    \n    }, TMP_Number_$eq$eq_25.$$arity = 1);\n    \n    Opal.def(self, '$abs', TMP_Number_abs_26 = function $$abs() {\n      var self = this;\n\n      return Math.abs(self);\n    }, TMP_Number_abs_26.$$arity = 0);\n    \n    Opal.def(self, '$abs2', TMP_Number_abs2_27 = function $$abs2() {\n      var self = this;\n\n      return Math.abs(self * self);\n    }, TMP_Number_abs2_27.$$arity = 0);\n    \n    Opal.def(self, '$allbits?', TMP_Number_allbits$q_28 = function(mask) {\n      var self = this;\n\n      \n      mask = $$($nesting, 'Opal')['$coerce_to!'](mask, $$($nesting, 'Integer'), \"to_int\");\n      return (self & mask) == mask;;\n    }, TMP_Number_allbits$q_28.$$arity = 1);\n    \n    Opal.def(self, '$anybits?', TMP_Number_anybits$q_29 = function(mask) {\n      var self = this;\n\n      \n      mask = $$($nesting, 'Opal')['$coerce_to!'](mask, $$($nesting, 'Integer'), \"to_int\");\n      return (self & mask) !== 0;;\n    }, TMP_Number_anybits$q_29.$$arity = 1);\n    \n    Opal.def(self, '$angle', TMP_Number_angle_30 = function $$angle() {\n      var self = this;\n\n      \n      if ($truthy(self['$nan?']())) {\n        return self};\n      \n      if (self == 0) {\n        if (1 / self > 0) {\n          return 0;\n        }\n        else {\n          return Math.PI;\n        }\n      }\n      else if (self < 0) {\n        return Math.PI;\n      }\n      else {\n        return 0;\n      }\n    ;\n    }, TMP_Number_angle_30.$$arity = 0);\n    Opal.alias(self, \"arg\", \"angle\");\n    Opal.alias(self, \"phase\", \"angle\");\n    \n    Opal.def(self, '$bit_length', TMP_Number_bit_length_31 = function $$bit_length() {\n      var self = this;\n\n      \n      if ($truthy($$($nesting, 'Integer')['$==='](self))) {\n      } else {\n        self.$raise($$($nesting, 'NoMethodError').$new(\"\" + \"undefined method `bit_length` for \" + (self) + \":Float\", \"bit_length\"))\n      };\n      \n      if (self === 0 || self === -1) {\n        return 0;\n      }\n\n      var result = 0,\n          value  = self < 0 ? ~self : self;\n\n      while (value != 0) {\n        result   += 1;\n        value  >>>= 1;\n      }\n\n      return result;\n    ;\n    }, TMP_Number_bit_length_31.$$arity = 0);\n    \n    Opal.def(self, '$ceil', TMP_Number_ceil_32 = function $$ceil(ndigits) {\n      var self = this;\n\n      if (ndigits == null) {\n        ndigits = 0;\n      }\n      \n      var f = self.$to_f();\n\n      if (f % 1 === 0 && ndigits >= 0) {\n        return f;\n      }\n\n      var factor = Math.pow(10, ndigits),\n          result = Math.ceil(f * factor) / factor;\n\n      if (f % 1 === 0) {\n        result = Math.round(result);\n      }\n\n      return result;\n    \n    }, TMP_Number_ceil_32.$$arity = -1);\n    \n    Opal.def(self, '$chr', TMP_Number_chr_33 = function $$chr(encoding) {\n      var self = this;\n\n      return String.fromCharCode(self);\n    }, TMP_Number_chr_33.$$arity = -1);\n    \n    Opal.def(self, '$denominator', TMP_Number_denominator_34 = function $$denominator() {\n      var $a, self = this, $iter = TMP_Number_denominator_34.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n      if ($iter) TMP_Number_denominator_34.$$p = null;\n      // Prepare super implicit arguments\n      for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n        $zuper[$zuper_i] = arguments[$zuper_i];\n      }\n      if ($truthy(($truthy($a = self['$nan?']()) ? $a : self['$infinite?']()))) {\n        return 1\n      } else {\n        return $send(self, Opal.find_super_dispatcher(self, 'denominator', TMP_Number_denominator_34, false), $zuper, $iter)\n      }\n    }, TMP_Number_denominator_34.$$arity = 0);\n    \n    Opal.def(self, '$downto', TMP_Number_downto_35 = function $$downto(stop) {\n      var TMP_36, self = this, $iter = TMP_Number_downto_35.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Number_downto_35.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"downto\", stop], (TMP_36 = function(){var self = TMP_36.$$s || this;\n\n        \n          if ($truthy($$($nesting, 'Numeric')['$==='](stop))) {\n          } else {\n            self.$raise($$($nesting, 'ArgumentError'), \"\" + \"comparison of \" + (self.$class()) + \" with \" + (stop.$class()) + \" failed\")\n          };\n          if ($truthy($rb_gt(stop, self))) {\n            return 0\n          } else {\n            return $rb_plus($rb_minus(self, stop), 1)\n          };}, TMP_36.$$s = self, TMP_36.$$arity = 0, TMP_36))\n      };\n      \n      if (!stop.$$is_number) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"comparison of \" + (self.$class()) + \" with \" + (stop.$class()) + \" failed\")\n      }\n      for (var i = self; i >= stop; i--) {\n        block(i);\n      }\n    ;\n      return self;\n    }, TMP_Number_downto_35.$$arity = 1);\n    Opal.alias(self, \"eql?\", \"==\");\n    \n    Opal.def(self, '$equal?', TMP_Number_equal$q_37 = function(other) {\n      var $a, self = this;\n\n      return ($truthy($a = self['$=='](other)) ? $a : isNaN(self) && isNaN(other))\n    }, TMP_Number_equal$q_37.$$arity = 1);\n    \n    Opal.def(self, '$even?', TMP_Number_even$q_38 = function() {\n      var self = this;\n\n      return self % 2 === 0;\n    }, TMP_Number_even$q_38.$$arity = 0);\n    \n    Opal.def(self, '$floor', TMP_Number_floor_39 = function $$floor(ndigits) {\n      var self = this;\n\n      if (ndigits == null) {\n        ndigits = 0;\n      }\n      \n      var f = self.$to_f();\n\n      if (f % 1 === 0 && ndigits >= 0) {\n        return f;\n      }\n\n      var factor = Math.pow(10, ndigits),\n          result = Math.floor(f * factor) / factor;\n\n      if (f % 1 === 0) {\n        result = Math.round(result);\n      }\n\n      return result;\n    \n    }, TMP_Number_floor_39.$$arity = -1);\n    \n    Opal.def(self, '$gcd', TMP_Number_gcd_40 = function $$gcd(other) {\n      var self = this;\n\n      \n      if ($truthy($$($nesting, 'Integer')['$==='](other))) {\n      } else {\n        self.$raise($$($nesting, 'TypeError'), \"not an integer\")\n      };\n      \n      var min = Math.abs(self),\n          max = Math.abs(other);\n\n      while (min > 0) {\n        var tmp = min;\n\n        min = max % min;\n        max = tmp;\n      }\n\n      return max;\n    ;\n    }, TMP_Number_gcd_40.$$arity = 1);\n    \n    Opal.def(self, '$gcdlcm', TMP_Number_gcdlcm_41 = function $$gcdlcm(other) {\n      var self = this;\n\n      return [self.$gcd(), self.$lcm()]\n    }, TMP_Number_gcdlcm_41.$$arity = 1);\n    \n    Opal.def(self, '$integer?', TMP_Number_integer$q_42 = function() {\n      var self = this;\n\n      return self % 1 === 0;\n    }, TMP_Number_integer$q_42.$$arity = 0);\n    \n    Opal.def(self, '$is_a?', TMP_Number_is_a$q_43 = function(klass) {\n      var $a, self = this, $iter = TMP_Number_is_a$q_43.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n      if ($iter) TMP_Number_is_a$q_43.$$p = null;\n      // Prepare super implicit arguments\n      for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n        $zuper[$zuper_i] = arguments[$zuper_i];\n      }\n      \n      if ($truthy((($a = klass['$==']($$($nesting, 'Integer'))) ? $$($nesting, 'Integer')['$==='](self) : klass['$==']($$($nesting, 'Integer'))))) {\n        return true};\n      if ($truthy((($a = klass['$==']($$($nesting, 'Integer'))) ? $$($nesting, 'Integer')['$==='](self) : klass['$==']($$($nesting, 'Integer'))))) {\n        return true};\n      if ($truthy((($a = klass['$==']($$($nesting, 'Float'))) ? $$($nesting, 'Float')['$==='](self) : klass['$==']($$($nesting, 'Float'))))) {\n        return true};\n      return $send(self, Opal.find_super_dispatcher(self, 'is_a?', TMP_Number_is_a$q_43, false), $zuper, $iter);\n    }, TMP_Number_is_a$q_43.$$arity = 1);\n    Opal.alias(self, \"kind_of?\", \"is_a?\");\n    \n    Opal.def(self, '$instance_of?', TMP_Number_instance_of$q_44 = function(klass) {\n      var $a, self = this, $iter = TMP_Number_instance_of$q_44.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n      if ($iter) TMP_Number_instance_of$q_44.$$p = null;\n      // Prepare super implicit arguments\n      for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n        $zuper[$zuper_i] = arguments[$zuper_i];\n      }\n      \n      if ($truthy((($a = klass['$==']($$($nesting, 'Integer'))) ? $$($nesting, 'Integer')['$==='](self) : klass['$==']($$($nesting, 'Integer'))))) {\n        return true};\n      if ($truthy((($a = klass['$==']($$($nesting, 'Integer'))) ? $$($nesting, 'Integer')['$==='](self) : klass['$==']($$($nesting, 'Integer'))))) {\n        return true};\n      if ($truthy((($a = klass['$==']($$($nesting, 'Float'))) ? $$($nesting, 'Float')['$==='](self) : klass['$==']($$($nesting, 'Float'))))) {\n        return true};\n      return $send(self, Opal.find_super_dispatcher(self, 'instance_of?', TMP_Number_instance_of$q_44, false), $zuper, $iter);\n    }, TMP_Number_instance_of$q_44.$$arity = 1);\n    \n    Opal.def(self, '$lcm', TMP_Number_lcm_45 = function $$lcm(other) {\n      var self = this;\n\n      \n      if ($truthy($$($nesting, 'Integer')['$==='](other))) {\n      } else {\n        self.$raise($$($nesting, 'TypeError'), \"not an integer\")\n      };\n      \n      if (self == 0 || other == 0) {\n        return 0;\n      }\n      else {\n        return Math.abs(self * other / self.$gcd(other));\n      }\n    ;\n    }, TMP_Number_lcm_45.$$arity = 1);\n    Opal.alias(self, \"magnitude\", \"abs\");\n    Opal.alias(self, \"modulo\", \"%\");\n    \n    Opal.def(self, '$next', TMP_Number_next_46 = function $$next() {\n      var self = this;\n\n      return self + 1;\n    }, TMP_Number_next_46.$$arity = 0);\n    \n    Opal.def(self, '$nobits?', TMP_Number_nobits$q_47 = function(mask) {\n      var self = this;\n\n      \n      mask = $$($nesting, 'Opal')['$coerce_to!'](mask, $$($nesting, 'Integer'), \"to_int\");\n      return (self & mask) == 0;;\n    }, TMP_Number_nobits$q_47.$$arity = 1);\n    \n    Opal.def(self, '$nonzero?', TMP_Number_nonzero$q_48 = function() {\n      var self = this;\n\n      return self == 0 ? nil : self;\n    }, TMP_Number_nonzero$q_48.$$arity = 0);\n    \n    Opal.def(self, '$numerator', TMP_Number_numerator_49 = function $$numerator() {\n      var $a, self = this, $iter = TMP_Number_numerator_49.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n      if ($iter) TMP_Number_numerator_49.$$p = null;\n      // Prepare super implicit arguments\n      for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n        $zuper[$zuper_i] = arguments[$zuper_i];\n      }\n      if ($truthy(($truthy($a = self['$nan?']()) ? $a : self['$infinite?']()))) {\n        return self\n      } else {\n        return $send(self, Opal.find_super_dispatcher(self, 'numerator', TMP_Number_numerator_49, false), $zuper, $iter)\n      }\n    }, TMP_Number_numerator_49.$$arity = 0);\n    \n    Opal.def(self, '$odd?', TMP_Number_odd$q_50 = function() {\n      var self = this;\n\n      return self % 2 !== 0;\n    }, TMP_Number_odd$q_50.$$arity = 0);\n    \n    Opal.def(self, '$ord', TMP_Number_ord_51 = function $$ord() {\n      var self = this;\n\n      return self\n    }, TMP_Number_ord_51.$$arity = 0);\n    \n    Opal.def(self, '$pow', TMP_Number_pow_52 = function $$pow(b, m) {\n      var self = this;\n\n      \n      if (self == 0) {\n        self.$raise($$($nesting, 'ZeroDivisionError'), \"divided by 0\")\n      }\n\n      if (m === undefined) {\n        return self['$**'](b);\n      } else {\n        if (!($$($nesting, 'Integer')['$==='](b))) {\n          self.$raise($$($nesting, 'TypeError'), \"Integer#pow() 2nd argument not allowed unless a 1st argument is integer\")\n        }\n\n        if (b < 0) {\n          self.$raise($$($nesting, 'TypeError'), \"Integer#pow() 1st argument cannot be negative when 2nd argument specified\")\n        }\n\n        if (!($$($nesting, 'Integer')['$==='](m))) {\n          self.$raise($$($nesting, 'TypeError'), \"Integer#pow() 2nd argument not allowed unless all arguments are integers\")\n        }\n\n        if (m === 0) {\n          self.$raise($$($nesting, 'ZeroDivisionError'), \"divided by 0\")\n        }\n\n        return self['$**'](b)['$%'](m)\n      }\n    \n    }, TMP_Number_pow_52.$$arity = -2);\n    \n    Opal.def(self, '$pred', TMP_Number_pred_53 = function $$pred() {\n      var self = this;\n\n      return self - 1;\n    }, TMP_Number_pred_53.$$arity = 0);\n    \n    Opal.def(self, '$quo', TMP_Number_quo_54 = function $$quo(other) {\n      var self = this, $iter = TMP_Number_quo_54.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n      if ($iter) TMP_Number_quo_54.$$p = null;\n      // Prepare super implicit arguments\n      for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n        $zuper[$zuper_i] = arguments[$zuper_i];\n      }\n      if ($truthy($$($nesting, 'Integer')['$==='](self))) {\n        return $send(self, Opal.find_super_dispatcher(self, 'quo', TMP_Number_quo_54, false), $zuper, $iter)\n      } else {\n        return $rb_divide(self, other)\n      }\n    }, TMP_Number_quo_54.$$arity = 1);\n    \n    Opal.def(self, '$rationalize', TMP_Number_rationalize_55 = function $$rationalize(eps) {\n      var $a, $b, self = this, f = nil, n = nil;\n\n      \n      \n      if (arguments.length > 1) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"wrong number of arguments (\" + (arguments.length) + \" for 0..1)\");\n      }\n    ;\n      if ($truthy($$($nesting, 'Integer')['$==='](self))) {\n        return $$($nesting, 'Rational').$new(self, 1)\n      } else if ($truthy(self['$infinite?']())) {\n        return self.$raise($$($nesting, 'FloatDomainError'), \"Infinity\")\n      } else if ($truthy(self['$nan?']())) {\n        return self.$raise($$($nesting, 'FloatDomainError'), \"NaN\")\n      } else if ($truthy(eps == null)) {\n        \n        $b = $$($nesting, 'Math').$frexp(self), $a = Opal.to_ary($b), (f = ($a[0] == null ? nil : $a[0])), (n = ($a[1] == null ? nil : $a[1])), $b;\n        f = $$($nesting, 'Math').$ldexp(f, $$$($$($nesting, 'Float'), 'MANT_DIG')).$to_i();\n        n = $rb_minus(n, $$$($$($nesting, 'Float'), 'MANT_DIG'));\n        return $$($nesting, 'Rational').$new($rb_times(2, f), (1)['$<<']($rb_minus(1, n))).$rationalize($$($nesting, 'Rational').$new(1, (1)['$<<']($rb_minus(1, n))));\n      } else {\n        return self.$to_r().$rationalize(eps)\n      };\n    }, TMP_Number_rationalize_55.$$arity = -1);\n    \n    Opal.def(self, '$remainder', TMP_Number_remainder_56 = function $$remainder(y) {\n      var self = this;\n\n      return $rb_minus(self, $rb_times(y, $rb_divide(self, y).$truncate()))\n    }, TMP_Number_remainder_56.$$arity = 1);\n    \n    Opal.def(self, '$round', TMP_Number_round_57 = function $$round(ndigits) {\n      var $a, $b, self = this, _ = nil, exp = nil;\n\n      if ($truthy($$($nesting, 'Integer')['$==='](self))) {\n        \n        if ($truthy(ndigits == null)) {\n          return self};\n        if ($truthy(($truthy($a = $$($nesting, 'Float')['$==='](ndigits)) ? ndigits['$infinite?']() : $a))) {\n          self.$raise($$($nesting, 'RangeError'), \"Infinity\")};\n        ndigits = $$($nesting, 'Opal')['$coerce_to!'](ndigits, $$($nesting, 'Integer'), \"to_int\");\n        if ($truthy($rb_lt(ndigits, $$$($$($nesting, 'Integer'), 'MIN')))) {\n          self.$raise($$($nesting, 'RangeError'), \"out of bounds\")};\n        if ($truthy(ndigits >= 0)) {\n          return self};\n        ndigits = ndigits['$-@']();\n        \n        if (0.415241 * ndigits - 0.125 > self.$size()) {\n          return 0;\n        }\n\n        var f = Math.pow(10, ndigits),\n            x = Math.floor((Math.abs(x) + f / 2) / f) * f;\n\n        return self < 0 ? -x : x;\n      ;\n      } else {\n        \n        if ($truthy(($truthy($a = self['$nan?']()) ? ndigits == null : $a))) {\n          self.$raise($$($nesting, 'FloatDomainError'), \"NaN\")};\n        ndigits = $$($nesting, 'Opal')['$coerce_to!'](ndigits || 0, $$($nesting, 'Integer'), \"to_int\");\n        if ($truthy($rb_le(ndigits, 0))) {\n          if ($truthy(self['$nan?']())) {\n            self.$raise($$($nesting, 'RangeError'), \"NaN\")\n          } else if ($truthy(self['$infinite?']())) {\n            self.$raise($$($nesting, 'FloatDomainError'), \"Infinity\")}\n        } else if (ndigits['$=='](0)) {\n          return Math.round(self)\n        } else if ($truthy(($truthy($a = self['$nan?']()) ? $a : self['$infinite?']()))) {\n          return self};\n        $b = $$($nesting, 'Math').$frexp(self), $a = Opal.to_ary($b), (_ = ($a[0] == null ? nil : $a[0])), (exp = ($a[1] == null ? nil : $a[1])), $b;\n        if ($truthy($rb_ge(ndigits, $rb_minus($rb_plus($$$($$($nesting, 'Float'), 'DIG'), 2), (function() {if ($truthy($rb_gt(exp, 0))) {\n          return $rb_divide(exp, 4)\n        } else {\n          return $rb_minus($rb_divide(exp, 3), 1)\n        }; return nil; })())))) {\n          return self};\n        if ($truthy($rb_lt(ndigits, (function() {if ($truthy($rb_gt(exp, 0))) {\n          return $rb_plus($rb_divide(exp, 3), 1)\n        } else {\n          return $rb_divide(exp, 4)\n        }; return nil; })()['$-@']()))) {\n          return 0};\n        return Math.round(self * Math.pow(10, ndigits)) / Math.pow(10, ndigits);;\n      }\n    }, TMP_Number_round_57.$$arity = -1);\n    \n    Opal.def(self, '$step', TMP_Number_step_58 = function $$step($limit, $step, $kwargs) {\n      var TMP_59, self = this, $post_args, to, by, limit, step, $iter = TMP_Number_step_58.$$p, block = $iter || nil, positional_args = nil, keyword_args = nil;\n\n      $post_args = Opal.slice.call(arguments, 0, arguments.length);\n      $kwargs = Opal.extract_kwargs($post_args);\n      if ($kwargs == null || !$kwargs.$$is_hash) {\n        if ($kwargs == null) {\n          $kwargs = $hash2([], {});\n        } else {\n          throw Opal.ArgumentError.$new('expected kwargs');\n        }\n      }\n      to = $kwargs.$$smap[\"to\"];\n      by = $kwargs.$$smap[\"by\"];\n      if (0 < $post_args.length) {\n        limit = $post_args.splice(0,1)[0];\n      }\n      if (0 < $post_args.length) {\n        step = $post_args.splice(0,1)[0];\n      }\n      if ($iter) TMP_Number_step_58.$$p = null;\n      \n      \n      if (limit !== undefined && to !== undefined) {\n        self.$raise($$($nesting, 'ArgumentError'), \"to is given twice\")\n      }\n\n      if (step !== undefined && by !== undefined) {\n        self.$raise($$($nesting, 'ArgumentError'), \"step is given twice\")\n      }\n\n      function validateParameters() {\n        if (to !== undefined) {\n          limit = to;\n        }\n\n        if (limit === undefined) {\n          limit = nil;\n        }\n\n        if (step === nil) {\n          self.$raise($$($nesting, 'TypeError'), \"step must be numeric\")\n        }\n\n        if (step === 0) {\n          self.$raise($$($nesting, 'ArgumentError'), \"step can't be 0\")\n        }\n\n        if (by !== undefined) {\n          step = by;\n        }\n\n        if (step === nil || step == null) {\n          step = 1;\n        }\n\n        var sign = step['$<=>'](0);\n\n        if (sign === nil) {\n          self.$raise($$($nesting, 'ArgumentError'), \"\" + \"0 can't be coerced into \" + (step.$class()))\n        }\n\n        if (limit === nil || limit == null) {\n          limit = sign > 0 ? $$$($$($nesting, 'Float'), 'INFINITY') : $$$($$($nesting, 'Float'), 'INFINITY')['$-@']();\n        }\n\n        $$($nesting, 'Opal').$compare(self, limit)\n      }\n\n      function stepFloatSize() {\n        if ((step > 0 && self > limit) || (step < 0 && self < limit)) {\n          return 0;\n        } else if (step === Infinity || step === -Infinity) {\n          return 1;\n        } else {\n          var abs = Math.abs, floor = Math.floor,\n              err = (abs(self) + abs(limit) + abs(limit - self)) / abs(step) * $$$($$($nesting, 'Float'), 'EPSILON');\n\n          if (err === Infinity || err === -Infinity) {\n            return 0;\n          } else {\n            if (err > 0.5) {\n              err = 0.5;\n            }\n\n            return floor((limit - self) / step + err) + 1\n          }\n        }\n      }\n\n      function stepSize() {\n        validateParameters();\n\n        if (step === 0) {\n          return Infinity;\n        }\n\n        if (step % 1 !== 0) {\n          return stepFloatSize();\n        } else if ((step > 0 && self > limit) || (step < 0 && self < limit)) {\n          return 0;\n        } else {\n          var ceil = Math.ceil, abs = Math.abs,\n              lhs = abs(self - limit) + 1,\n              rhs = abs(step);\n\n          return ceil(lhs / rhs);\n        }\n      }\n    ;\n      if ((block !== nil)) {\n      } else {\n        \n        positional_args = [];\n        keyword_args = $hash2([], {});\n        \n        if (limit !== undefined) {\n          positional_args.push(limit);\n        }\n\n        if (step !== undefined) {\n          positional_args.push(step);\n        }\n\n        if (to !== undefined) {\n          Opal.hash_put(keyword_args, \"to\", to);\n        }\n\n        if (by !== undefined) {\n          Opal.hash_put(keyword_args, \"by\", by);\n        }\n\n        if (keyword_args['$any?']()) {\n          positional_args.push(keyword_args);\n        }\n      ;\n        return $send(self, 'enum_for', [\"step\"].concat(Opal.to_a(positional_args)), (TMP_59 = function(){var self = TMP_59.$$s || this;\n\n        return stepSize();}, TMP_59.$$s = self, TMP_59.$$arity = 0, TMP_59));\n      };\n      \n      validateParameters();\n\n      if (step === 0) {\n        while (true) {\n          block(self);\n        }\n      }\n\n      if (self % 1 !== 0 || limit % 1 !== 0 || step % 1 !== 0) {\n        var n = stepFloatSize();\n\n        if (n > 0) {\n          if (step === Infinity || step === -Infinity) {\n            block(self);\n          } else {\n            var i = 0, d;\n\n            if (step > 0) {\n              while (i < n) {\n                d = i * step + self;\n                if (limit < d) {\n                  d = limit;\n                }\n                block(d);\n                i += 1;\n              }\n            } else {\n              while (i < n) {\n                d = i * step + self;\n                if (limit > d) {\n                  d = limit;\n                }\n                block(d);\n                i += 1\n              }\n            }\n          }\n        }\n      } else {\n        var value = self;\n\n        if (step > 0) {\n          while (value <= limit) {\n            block(value);\n            value += step;\n          }\n        } else {\n          while (value >= limit) {\n            block(value);\n            value += step\n          }\n        }\n      }\n\n      return self;\n    ;\n    }, TMP_Number_step_58.$$arity = -1);\n    Opal.alias(self, \"succ\", \"next\");\n    \n    Opal.def(self, '$times', TMP_Number_times_60 = function $$times() {\n      var TMP_61, self = this, $iter = TMP_Number_times_60.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Number_times_60.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        return $send(self, 'enum_for', [\"times\"], (TMP_61 = function(){var self = TMP_61.$$s || this;\n\n        return self}, TMP_61.$$s = self, TMP_61.$$arity = 0, TMP_61))\n      };\n      \n      for (var i = 0; i < self; i++) {\n        block(i);\n      }\n    ;\n      return self;\n    }, TMP_Number_times_60.$$arity = 0);\n    \n    Opal.def(self, '$to_f', TMP_Number_to_f_62 = function $$to_f() {\n      var self = this;\n\n      return self\n    }, TMP_Number_to_f_62.$$arity = 0);\n    \n    Opal.def(self, '$to_i', TMP_Number_to_i_63 = function $$to_i() {\n      var self = this;\n\n      return parseInt(self, 10);\n    }, TMP_Number_to_i_63.$$arity = 0);\n    Opal.alias(self, \"to_int\", \"to_i\");\n    \n    Opal.def(self, '$to_r', TMP_Number_to_r_64 = function $$to_r() {\n      var $a, $b, self = this, f = nil, e = nil;\n\n      if ($truthy($$($nesting, 'Integer')['$==='](self))) {\n        return $$($nesting, 'Rational').$new(self, 1)\n      } else {\n        \n        $b = $$($nesting, 'Math').$frexp(self), $a = Opal.to_ary($b), (f = ($a[0] == null ? nil : $a[0])), (e = ($a[1] == null ? nil : $a[1])), $b;\n        f = $$($nesting, 'Math').$ldexp(f, $$$($$($nesting, 'Float'), 'MANT_DIG')).$to_i();\n        e = $rb_minus(e, $$$($$($nesting, 'Float'), 'MANT_DIG'));\n        return $rb_times(f, $$$($$($nesting, 'Float'), 'RADIX')['$**'](e)).$to_r();\n      }\n    }, TMP_Number_to_r_64.$$arity = 0);\n    \n    Opal.def(self, '$to_s', TMP_Number_to_s_65 = function $$to_s(base) {\n      var $a, self = this;\n\n      if (base == null) {\n        base = 10;\n      }\n      \n      base = $$($nesting, 'Opal')['$coerce_to!'](base, $$($nesting, 'Integer'), \"to_int\");\n      if ($truthy(($truthy($a = $rb_lt(base, 2)) ? $a : $rb_gt(base, 36)))) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid radix \" + (base))};\n      return self.toString(base);;\n    }, TMP_Number_to_s_65.$$arity = -1);\n    \n    Opal.def(self, '$truncate', TMP_Number_truncate_66 = function $$truncate(ndigits) {\n      var self = this;\n\n      if (ndigits == null) {\n        ndigits = 0;\n      }\n      \n      var f = self.$to_f();\n\n      if (f % 1 === 0 && ndigits >= 0) {\n        return f;\n      }\n\n      var factor = Math.pow(10, ndigits),\n          result = parseInt(f * factor, 10) / factor;\n\n      if (f % 1 === 0) {\n        result = Math.round(result);\n      }\n\n      return result;\n    \n    }, TMP_Number_truncate_66.$$arity = -1);\n    Opal.alias(self, \"inspect\", \"to_s\");\n    \n    Opal.def(self, '$digits', TMP_Number_digits_67 = function $$digits(base) {\n      var self = this;\n\n      if (base == null) {\n        base = 10;\n      }\n      \n      if ($rb_lt(self, 0)) {\n        self.$raise($$$($$($nesting, 'Math'), 'DomainError'), \"out of domain\")};\n      base = $$($nesting, 'Opal')['$coerce_to!'](base, $$($nesting, 'Integer'), \"to_int\");\n      if ($truthy($rb_lt(base, 2))) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid radix \" + (base))};\n      \n      var value = self, result = [];\n\n      while (value !== 0) {\n        result.push(value % base);\n        value = parseInt(value / base, 10);\n      }\n\n      return result;\n    ;\n    }, TMP_Number_digits_67.$$arity = -1);\n    \n    Opal.def(self, '$divmod', TMP_Number_divmod_68 = function $$divmod(other) {\n      var $a, self = this, $iter = TMP_Number_divmod_68.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n      if ($iter) TMP_Number_divmod_68.$$p = null;\n      // Prepare super implicit arguments\n      for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n        $zuper[$zuper_i] = arguments[$zuper_i];\n      }\n      if ($truthy(($truthy($a = self['$nan?']()) ? $a : other['$nan?']()))) {\n        return self.$raise($$($nesting, 'FloatDomainError'), \"NaN\")\n      } else if ($truthy(self['$infinite?']())) {\n        return self.$raise($$($nesting, 'FloatDomainError'), \"Infinity\")\n      } else {\n        return $send(self, Opal.find_super_dispatcher(self, 'divmod', TMP_Number_divmod_68, false), $zuper, $iter)\n      }\n    }, TMP_Number_divmod_68.$$arity = 1);\n    \n    Opal.def(self, '$upto', TMP_Number_upto_69 = function $$upto(stop) {\n      var TMP_70, self = this, $iter = TMP_Number_upto_69.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Number_upto_69.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"upto\", stop], (TMP_70 = function(){var self = TMP_70.$$s || this;\n\n        \n          if ($truthy($$($nesting, 'Numeric')['$==='](stop))) {\n          } else {\n            self.$raise($$($nesting, 'ArgumentError'), \"\" + \"comparison of \" + (self.$class()) + \" with \" + (stop.$class()) + \" failed\")\n          };\n          if ($truthy($rb_lt(stop, self))) {\n            return 0\n          } else {\n            return $rb_plus($rb_minus(stop, self), 1)\n          };}, TMP_70.$$s = self, TMP_70.$$arity = 0, TMP_70))\n      };\n      \n      if (!stop.$$is_number) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"comparison of \" + (self.$class()) + \" with \" + (stop.$class()) + \" failed\")\n      }\n      for (var i = self; i <= stop; i++) {\n        block(i);\n      }\n    ;\n      return self;\n    }, TMP_Number_upto_69.$$arity = 1);\n    \n    Opal.def(self, '$zero?', TMP_Number_zero$q_71 = function() {\n      var self = this;\n\n      return self == 0;\n    }, TMP_Number_zero$q_71.$$arity = 0);\n    \n    Opal.def(self, '$size', TMP_Number_size_72 = function $$size() {\n      var self = this;\n\n      return 4\n    }, TMP_Number_size_72.$$arity = 0);\n    \n    Opal.def(self, '$nan?', TMP_Number_nan$q_73 = function() {\n      var self = this;\n\n      return isNaN(self);\n    }, TMP_Number_nan$q_73.$$arity = 0);\n    \n    Opal.def(self, '$finite?', TMP_Number_finite$q_74 = function() {\n      var self = this;\n\n      return self != Infinity && self != -Infinity && !isNaN(self);\n    }, TMP_Number_finite$q_74.$$arity = 0);\n    \n    Opal.def(self, '$infinite?', TMP_Number_infinite$q_75 = function() {\n      var self = this;\n\n      \n      if (self == Infinity) {\n        return +1;\n      }\n      else if (self == -Infinity) {\n        return -1;\n      }\n      else {\n        return nil;\n      }\n    \n    }, TMP_Number_infinite$q_75.$$arity = 0);\n    \n    Opal.def(self, '$positive?', TMP_Number_positive$q_76 = function() {\n      var self = this;\n\n      return self != 0 && (self == Infinity || 1 / self > 0);\n    }, TMP_Number_positive$q_76.$$arity = 0);\n    return (Opal.def(self, '$negative?', TMP_Number_negative$q_77 = function() {\n      var self = this;\n\n      return self == -Infinity || 1 / self < 0;\n    }, TMP_Number_negative$q_77.$$arity = 0), nil) && 'negative?';\n  })($nesting[0], $$($nesting, 'Numeric'), $nesting);\n  Opal.const_set($nesting[0], 'Fixnum', $$($nesting, 'Number'));\n  (function($base, $super, $parent_nesting) {\n    function $Integer(){};\n    var self = $Integer = $klass($base, $super, 'Integer', $Integer);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    \n    self.$$is_number_class = true;\n    (function(self, $parent_nesting) {\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_allocate_78, TMP_$eq$eq$eq_79, TMP_sqrt_80;\n\n      \n      \n      Opal.def(self, '$allocate', TMP_allocate_78 = function $$allocate() {\n        var self = this;\n\n        return self.$raise($$($nesting, 'TypeError'), \"\" + \"allocator undefined for \" + (self.$name()))\n      }, TMP_allocate_78.$$arity = 0);\n      \n      Opal.udef(self, '$' + \"new\");;\n      \n      Opal.def(self, '$===', TMP_$eq$eq$eq_79 = function(other) {\n        var self = this;\n\n        \n        if (!other.$$is_number) {\n          return false;\n        }\n\n        return (other % 1) === 0;\n      \n      }, TMP_$eq$eq$eq_79.$$arity = 1);\n      return (Opal.def(self, '$sqrt', TMP_sqrt_80 = function $$sqrt(n) {\n        var self = this;\n\n        \n        n = $$($nesting, 'Opal')['$coerce_to!'](n, $$($nesting, 'Integer'), \"to_int\");\n        \n        if (n < 0) {\n          self.$raise($$$($$($nesting, 'Math'), 'DomainError'), \"Numerical argument is out of domain - \\\"isqrt\\\"\")\n        }\n\n        return parseInt(Math.sqrt(n), 10);\n      ;\n      }, TMP_sqrt_80.$$arity = 1), nil) && 'sqrt';\n    })(Opal.get_singleton_class(self), $nesting);\n    Opal.const_set($nesting[0], 'MAX', Math.pow(2, 30) - 1);\n    return Opal.const_set($nesting[0], 'MIN', -Math.pow(2, 30));\n  })($nesting[0], $$($nesting, 'Numeric'), $nesting);\n  return (function($base, $super, $parent_nesting) {\n    function $Float(){};\n    var self = $Float = $klass($base, $super, 'Float', $Float);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    \n    self.$$is_number_class = true;\n    (function(self, $parent_nesting) {\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_allocate_81, TMP_$eq$eq$eq_82;\n\n      \n      \n      Opal.def(self, '$allocate', TMP_allocate_81 = function $$allocate() {\n        var self = this;\n\n        return self.$raise($$($nesting, 'TypeError'), \"\" + \"allocator undefined for \" + (self.$name()))\n      }, TMP_allocate_81.$$arity = 0);\n      \n      Opal.udef(self, '$' + \"new\");;\n      return (Opal.def(self, '$===', TMP_$eq$eq$eq_82 = function(other) {\n        var self = this;\n\n        return !!other.$$is_number;\n      }, TMP_$eq$eq$eq_82.$$arity = 1), nil) && '===';\n    })(Opal.get_singleton_class(self), $nesting);\n    Opal.const_set($nesting[0], 'INFINITY', Infinity);\n    Opal.const_set($nesting[0], 'MAX', Number.MAX_VALUE);\n    Opal.const_set($nesting[0], 'MIN', Number.MIN_VALUE);\n    Opal.const_set($nesting[0], 'NAN', NaN);\n    Opal.const_set($nesting[0], 'DIG', 15);\n    Opal.const_set($nesting[0], 'MANT_DIG', 53);\n    Opal.const_set($nesting[0], 'RADIX', 2);\n    return Opal.const_set($nesting[0], 'EPSILON', Number.EPSILON || 2.2204460492503130808472633361816E-16);\n  })($nesting[0], $$($nesting, 'Numeric'), $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/range\"] = function(Opal) {\n  function $rb_le(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs <= rhs : lhs['$<='](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_divide(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs / rhs : lhs['$/'](rhs);\n  }\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_ge(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs >= rhs : lhs['$>='](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy, $send = Opal.send;\n\n  Opal.add_stubs(['$require', '$include', '$attr_reader', '$raise', '$<=>', '$include?', '$<=', '$<', '$enum_for', '$upto', '$to_proc', '$respond_to?', '$class', '$succ', '$!', '$==', '$===', '$exclude_end?', '$eql?', '$begin', '$end', '$last', '$to_a', '$>', '$-', '$abs', '$to_i', '$coerce_to!', '$ceil', '$/', '$size', '$loop', '$+', '$*', '$>=', '$each_with_index', '$%', '$bsearch', '$inspect', '$[]', '$hash']);\n  \n  self.$require(\"corelib/enumerable\");\n  return (function($base, $super, $parent_nesting) {\n    function $Range(){};\n    var self = $Range = $klass($base, $super, 'Range', $Range);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Range_initialize_1, TMP_Range_$eq$eq_2, TMP_Range_$eq$eq$eq_3, TMP_Range_cover$q_4, TMP_Range_each_5, TMP_Range_eql$q_6, TMP_Range_exclude_end$q_7, TMP_Range_first_8, TMP_Range_last_9, TMP_Range_max_10, TMP_Range_min_11, TMP_Range_size_12, TMP_Range_step_13, TMP_Range_bsearch_17, TMP_Range_to_s_18, TMP_Range_inspect_19, TMP_Range_marshal_load_20, TMP_Range_hash_21;\n\n    def.begin = def.end = def.excl = nil;\n    \n    self.$include($$($nesting, 'Enumerable'));\n    def.$$is_range = true;\n    self.$attr_reader(\"begin\", \"end\");\n    \n    Opal.def(self, '$initialize', TMP_Range_initialize_1 = function $$initialize(first, last, exclude) {\n      var self = this;\n\n      if (exclude == null) {\n        exclude = false;\n      }\n      \n      if ($truthy(self.begin)) {\n        self.$raise($$($nesting, 'NameError'), \"'initialize' called twice\")};\n      if ($truthy(first['$<=>'](last))) {\n      } else {\n        self.$raise($$($nesting, 'ArgumentError'), \"bad value for range\")\n      };\n      self.begin = first;\n      self.end = last;\n      return (self.excl = exclude);\n    }, TMP_Range_initialize_1.$$arity = -3);\n    \n    Opal.def(self, '$==', TMP_Range_$eq$eq_2 = function(other) {\n      var self = this;\n\n      \n      if (!other.$$is_range) {\n        return false;\n      }\n\n      return self.excl  === other.excl &&\n             self.begin ==  other.begin &&\n             self.end   ==  other.end;\n    \n    }, TMP_Range_$eq$eq_2.$$arity = 1);\n    \n    Opal.def(self, '$===', TMP_Range_$eq$eq$eq_3 = function(value) {\n      var self = this;\n\n      return self['$include?'](value)\n    }, TMP_Range_$eq$eq$eq_3.$$arity = 1);\n    \n    Opal.def(self, '$cover?', TMP_Range_cover$q_4 = function(value) {\n      var $a, self = this, beg_cmp = nil, end_cmp = nil;\n\n      \n      beg_cmp = self.begin['$<=>'](value);\n      if ($truthy(($truthy($a = beg_cmp) ? $rb_le(beg_cmp, 0) : $a))) {\n      } else {\n        return false\n      };\n      end_cmp = value['$<=>'](self.end);\n      if ($truthy(self.excl)) {\n        return ($truthy($a = end_cmp) ? $rb_lt(end_cmp, 0) : $a)\n      } else {\n        return ($truthy($a = end_cmp) ? $rb_le(end_cmp, 0) : $a)\n      };\n    }, TMP_Range_cover$q_4.$$arity = 1);\n    \n    Opal.def(self, '$each', TMP_Range_each_5 = function $$each() {\n      var $a, self = this, $iter = TMP_Range_each_5.$$p, block = $iter || nil, current = nil, last = nil;\n\n      if ($iter) TMP_Range_each_5.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return self.$enum_for(\"each\")\n      };\n      \n      var i, limit;\n\n      if (self.begin.$$is_number && self.end.$$is_number) {\n        if (self.begin % 1 !== 0 || self.end % 1 !== 0) {\n          self.$raise($$($nesting, 'TypeError'), \"can't iterate from Float\")\n        }\n\n        for (i = self.begin, limit = self.end + (function() {if ($truthy(self.excl)) {\n        return 0\n      } else {\n        return 1\n      }; return nil; })(); i < limit; i++) {\n          block(i);\n        }\n\n        return self;\n      }\n\n      if (self.begin.$$is_string && self.end.$$is_string) {\n        $send(self.begin, 'upto', [self.end, self.excl], block.$to_proc())\n        return self;\n      }\n    ;\n      current = self.begin;\n      last = self.end;\n      if ($truthy(current['$respond_to?'](\"succ\"))) {\n      } else {\n        self.$raise($$($nesting, 'TypeError'), \"\" + \"can't iterate from \" + (current.$class()))\n      };\n      while ($truthy($rb_lt(current['$<=>'](last), 0))) {\n        \n        Opal.yield1(block, current);\n        current = current.$succ();\n      };\n      if ($truthy(($truthy($a = self.excl['$!']()) ? current['$=='](last) : $a))) {\n        Opal.yield1(block, current)};\n      return self;\n    }, TMP_Range_each_5.$$arity = 0);\n    \n    Opal.def(self, '$eql?', TMP_Range_eql$q_6 = function(other) {\n      var $a, $b, self = this;\n\n      \n      if ($truthy($$($nesting, 'Range')['$==='](other))) {\n      } else {\n        return false\n      };\n      return ($truthy($a = ($truthy($b = self.excl['$==='](other['$exclude_end?']())) ? self.begin['$eql?'](other.$begin()) : $b)) ? self.end['$eql?'](other.$end()) : $a);\n    }, TMP_Range_eql$q_6.$$arity = 1);\n    \n    Opal.def(self, '$exclude_end?', TMP_Range_exclude_end$q_7 = function() {\n      var self = this;\n\n      return self.excl\n    }, TMP_Range_exclude_end$q_7.$$arity = 0);\n    \n    Opal.def(self, '$first', TMP_Range_first_8 = function $$first(n) {\n      var self = this, $iter = TMP_Range_first_8.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n      if ($iter) TMP_Range_first_8.$$p = null;\n      // Prepare super implicit arguments\n      for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n        $zuper[$zuper_i] = arguments[$zuper_i];\n      }\n      \n      if ($truthy(n == null)) {\n        return self.begin};\n      return $send(self, Opal.find_super_dispatcher(self, 'first', TMP_Range_first_8, false), $zuper, $iter);\n    }, TMP_Range_first_8.$$arity = -1);\n    Opal.alias(self, \"include?\", \"cover?\");\n    \n    Opal.def(self, '$last', TMP_Range_last_9 = function $$last(n) {\n      var self = this;\n\n      \n      if ($truthy(n == null)) {\n        return self.end};\n      return self.$to_a().$last(n);\n    }, TMP_Range_last_9.$$arity = -1);\n    \n    Opal.def(self, '$max', TMP_Range_max_10 = function $$max() {\n      var $a, self = this, $iter = TMP_Range_max_10.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n      if ($iter) TMP_Range_max_10.$$p = null;\n      // Prepare super implicit arguments\n      for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n        $zuper[$zuper_i] = arguments[$zuper_i];\n      }\n      if (($yield !== nil)) {\n        return $send(self, Opal.find_super_dispatcher(self, 'max', TMP_Range_max_10, false), $zuper, $iter)\n      } else if ($truthy($rb_gt(self.begin, self.end))) {\n        return nil\n      } else if ($truthy(($truthy($a = self.excl) ? self.begin['$=='](self.end) : $a))) {\n        return nil\n      } else {\n        return self.excl ? self.end - 1 : self.end\n      }\n    }, TMP_Range_max_10.$$arity = 0);\n    Opal.alias(self, \"member?\", \"cover?\");\n    \n    Opal.def(self, '$min', TMP_Range_min_11 = function $$min() {\n      var $a, self = this, $iter = TMP_Range_min_11.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n      if ($iter) TMP_Range_min_11.$$p = null;\n      // Prepare super implicit arguments\n      for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n        $zuper[$zuper_i] = arguments[$zuper_i];\n      }\n      if (($yield !== nil)) {\n        return $send(self, Opal.find_super_dispatcher(self, 'min', TMP_Range_min_11, false), $zuper, $iter)\n      } else if ($truthy($rb_gt(self.begin, self.end))) {\n        return nil\n      } else if ($truthy(($truthy($a = self.excl) ? self.begin['$=='](self.end) : $a))) {\n        return nil\n      } else {\n        return self.begin\n      }\n    }, TMP_Range_min_11.$$arity = 0);\n    \n    Opal.def(self, '$size', TMP_Range_size_12 = function $$size() {\n      var $a, self = this, range_begin = nil, range_end = nil, infinity = nil;\n\n      \n      range_begin = self.begin;\n      range_end = self.end;\n      if ($truthy(self.excl)) {\n        range_end = $rb_minus(range_end, 1)};\n      if ($truthy(($truthy($a = $$($nesting, 'Numeric')['$==='](range_begin)) ? $$($nesting, 'Numeric')['$==='](range_end) : $a))) {\n      } else {\n        return nil\n      };\n      if ($truthy($rb_lt(range_end, range_begin))) {\n        return 0};\n      infinity = $$$($$($nesting, 'Float'), 'INFINITY');\n      if ($truthy([range_begin.$abs(), range_end.$abs()]['$include?'](infinity))) {\n        return infinity};\n      return (Math.abs(range_end - range_begin) + 1).$to_i();\n    }, TMP_Range_size_12.$$arity = 0);\n    \n    Opal.def(self, '$step', TMP_Range_step_13 = function $$step(n) {\n      var TMP_14, TMP_15, TMP_16, self = this, $iter = TMP_Range_step_13.$$p, $yield = $iter || nil, i = nil;\n\n      if (n == null) {\n        n = 1;\n      }\n      if ($iter) TMP_Range_step_13.$$p = null;\n      \n      \n      function coerceStepSize() {\n        if (!n.$$is_number) {\n          n = $$($nesting, 'Opal')['$coerce_to!'](n, $$($nesting, 'Integer'), \"to_int\")\n        }\n\n        if (n < 0) {\n          self.$raise($$($nesting, 'ArgumentError'), \"step can't be negative\")\n        } else if (n === 0) {\n          self.$raise($$($nesting, 'ArgumentError'), \"step can't be 0\")\n        }\n      }\n\n      function enumeratorSize() {\n        if (!self.begin['$respond_to?'](\"succ\")) {\n          return nil;\n        }\n\n        if (self.begin.$$is_string && self.end.$$is_string) {\n          return nil;\n        }\n\n        if (n % 1 === 0) {\n          return $rb_divide(self.$size(), n).$ceil();\n        } else {\n          // n is a float\n          var begin = self.begin, end = self.end,\n              abs = Math.abs, floor = Math.floor,\n              err = (abs(begin) + abs(end) + abs(end - begin)) / abs(n) * $$$($$($nesting, 'Float'), 'EPSILON'),\n              size;\n\n          if (err > 0.5) {\n            err = 0.5;\n          }\n\n          if (self.excl) {\n            size = floor((end - begin) / n - err);\n            if (size * n + begin < end) {\n              size++;\n            }\n          } else {\n            size = floor((end - begin) / n + err) + 1\n          }\n\n          return size;\n        }\n      }\n    ;\n      if (($yield !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"step\", n], (TMP_14 = function(){var self = TMP_14.$$s || this;\n\n        \n          coerceStepSize();\n          return enumeratorSize();\n        }, TMP_14.$$s = self, TMP_14.$$arity = 0, TMP_14))\n      };\n      coerceStepSize();\n      if ($truthy(self.begin.$$is_number && self.end.$$is_number)) {\n        \n        i = 0;\n        (function(){var $brk = Opal.new_brk(); try {return $send(self, 'loop', [], (TMP_15 = function(){var self = TMP_15.$$s || this, current = nil;\n          if (self.begin == null) self.begin = nil;\n          if (self.excl == null) self.excl = nil;\n          if (self.end == null) self.end = nil;\n\n        \n          current = $rb_plus(self.begin, $rb_times(i, n));\n          if ($truthy(self.excl)) {\n            if ($truthy($rb_ge(current, self.end))) {\n              \n              Opal.brk(nil, $brk)}\n          } else if ($truthy($rb_gt(current, self.end))) {\n            \n            Opal.brk(nil, $brk)};\n          Opal.yield1($yield, current);\n          return (i = $rb_plus(i, 1));}, TMP_15.$$s = self, TMP_15.$$brk = $brk, TMP_15.$$arity = 0, TMP_15))\n        } catch (err) { if (err === $brk) { return err.$v } else { throw err } }})();\n      } else {\n        \n        \n        if (self.begin.$$is_string && self.end.$$is_string && n % 1 !== 0) {\n          self.$raise($$($nesting, 'TypeError'), \"no implicit conversion to float from string\")\n        }\n      ;\n        $send(self, 'each_with_index', [], (TMP_16 = function(value, idx){var self = TMP_16.$$s || this;\nif (value == null) value = nil;if (idx == null) idx = nil;\n        if (idx['$%'](n)['$=='](0)) {\n            return Opal.yield1($yield, value);\n          } else {\n            return nil\n          }}, TMP_16.$$s = self, TMP_16.$$arity = 2, TMP_16));\n      };\n      return self;\n    }, TMP_Range_step_13.$$arity = -1);\n    \n    Opal.def(self, '$bsearch', TMP_Range_bsearch_17 = function $$bsearch() {\n      var self = this, $iter = TMP_Range_bsearch_17.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Range_bsearch_17.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return self.$enum_for(\"bsearch\")\n      };\n      if ($truthy(self.begin.$$is_number && self.end.$$is_number)) {\n      } else {\n        self.$raise($$($nesting, 'TypeError'), \"\" + \"can't do binary search for \" + (self.begin.$class()))\n      };\n      return $send(self.$to_a(), 'bsearch', [], block.$to_proc());\n    }, TMP_Range_bsearch_17.$$arity = 0);\n    \n    Opal.def(self, '$to_s', TMP_Range_to_s_18 = function $$to_s() {\n      var self = this;\n\n      return \"\" + (self.begin) + ((function() {if ($truthy(self.excl)) {\n        return \"...\"\n      } else {\n        return \"..\"\n      }; return nil; })()) + (self.end)\n    }, TMP_Range_to_s_18.$$arity = 0);\n    \n    Opal.def(self, '$inspect', TMP_Range_inspect_19 = function $$inspect() {\n      var self = this;\n\n      return \"\" + (self.begin.$inspect()) + ((function() {if ($truthy(self.excl)) {\n        return \"...\"\n      } else {\n        return \"..\"\n      }; return nil; })()) + (self.end.$inspect())\n    }, TMP_Range_inspect_19.$$arity = 0);\n    \n    Opal.def(self, '$marshal_load', TMP_Range_marshal_load_20 = function $$marshal_load(args) {\n      var self = this;\n\n      \n      self.begin = args['$[]'](\"begin\");\n      self.end = args['$[]'](\"end\");\n      return (self.excl = args['$[]'](\"excl\"));\n    }, TMP_Range_marshal_load_20.$$arity = 1);\n    return (Opal.def(self, '$hash', TMP_Range_hash_21 = function $$hash() {\n      var self = this;\n\n      return [self.begin, self.end, self.excl].$hash()\n    }, TMP_Range_hash_21.$$arity = 0), nil) && 'hash';\n  })($nesting[0], null, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/proc\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$raise', '$coerce_to!']);\n  return (function($base, $super, $parent_nesting) {\n    function $Proc(){};\n    var self = $Proc = $klass($base, $super, 'Proc', $Proc);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Proc_new_1, TMP_Proc_call_2, TMP_Proc_to_proc_3, TMP_Proc_lambda$q_4, TMP_Proc_arity_5, TMP_Proc_source_location_6, TMP_Proc_binding_7, TMP_Proc_parameters_8, TMP_Proc_curry_9, TMP_Proc_dup_10;\n\n    \n    def.$$is_proc = true;\n    def.$$is_lambda = false;\n    Opal.defs(self, '$new', TMP_Proc_new_1 = function() {\n      var self = this, $iter = TMP_Proc_new_1.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Proc_new_1.$$p = null;\n      \n      if ($truthy(block)) {\n      } else {\n        self.$raise($$($nesting, 'ArgumentError'), \"tried to create a Proc object without a block\")\n      };\n      return block;\n    }, TMP_Proc_new_1.$$arity = 0);\n    \n    Opal.def(self, '$call', TMP_Proc_call_2 = function $$call($a_rest) {\n      var self = this, args, $iter = TMP_Proc_call_2.$$p, block = $iter || nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Proc_call_2.$$p = null;\n      \n      if (block !== nil) {\n        self.$$p = block;\n      }\n\n      var result, $brk = self.$$brk;\n\n      if ($brk) {\n        try {\n          if (self.$$is_lambda) {\n            result = self.apply(null, args);\n          }\n          else {\n            result = Opal.yieldX(self, args);\n          }\n        } catch (err) {\n          if (err === $brk) {\n            return $brk.$v\n          }\n          else {\n            throw err\n          }\n        }\n      }\n      else {\n        if (self.$$is_lambda) {\n          result = self.apply(null, args);\n        }\n        else {\n          result = Opal.yieldX(self, args);\n        }\n      }\n\n      return result;\n    \n    }, TMP_Proc_call_2.$$arity = -1);\n    Opal.alias(self, \"[]\", \"call\");\n    Opal.alias(self, \"===\", \"call\");\n    Opal.alias(self, \"yield\", \"call\");\n    \n    Opal.def(self, '$to_proc', TMP_Proc_to_proc_3 = function $$to_proc() {\n      var self = this;\n\n      return self\n    }, TMP_Proc_to_proc_3.$$arity = 0);\n    \n    Opal.def(self, '$lambda?', TMP_Proc_lambda$q_4 = function() {\n      var self = this;\n\n      return !!self.$$is_lambda;\n    }, TMP_Proc_lambda$q_4.$$arity = 0);\n    \n    Opal.def(self, '$arity', TMP_Proc_arity_5 = function $$arity() {\n      var self = this;\n\n      \n      if (self.$$is_curried) {\n        return -1;\n      } else {\n        return self.$$arity;\n      }\n    \n    }, TMP_Proc_arity_5.$$arity = 0);\n    \n    Opal.def(self, '$source_location', TMP_Proc_source_location_6 = function $$source_location() {\n      var self = this;\n\n      \n      if (self.$$is_curried) { return nil; };\n      return nil;\n    }, TMP_Proc_source_location_6.$$arity = 0);\n    \n    Opal.def(self, '$binding', TMP_Proc_binding_7 = function $$binding() {\n      var self = this;\n\n      \n      if (self.$$is_curried) { self.$raise($$($nesting, 'ArgumentError'), \"Can't create Binding\") };\n      return nil;\n    }, TMP_Proc_binding_7.$$arity = 0);\n    \n    Opal.def(self, '$parameters', TMP_Proc_parameters_8 = function $$parameters() {\n      var self = this;\n\n      \n      if (self.$$is_curried) {\n        return [[\"rest\"]];\n      } else if (self.$$parameters) {\n        if (self.$$is_lambda) {\n          return self.$$parameters;\n        } else {\n          var result = [], i, length;\n\n          for (i = 0, length = self.$$parameters.length; i < length; i++) {\n            var parameter = self.$$parameters[i];\n\n            if (parameter[0] === 'req') {\n              // required arguments always have name\n              parameter = ['opt', parameter[1]];\n            }\n\n            result.push(parameter);\n          }\n\n          return result;\n        }\n      } else {\n        return [];\n      }\n    \n    }, TMP_Proc_parameters_8.$$arity = 0);\n    \n    Opal.def(self, '$curry', TMP_Proc_curry_9 = function $$curry(arity) {\n      var self = this;\n\n      \n      if (arity === undefined) {\n        arity = self.length;\n      }\n      else {\n        arity = $$($nesting, 'Opal')['$coerce_to!'](arity, $$($nesting, 'Integer'), \"to_int\");\n        if (self.$$is_lambda && arity !== self.length) {\n          self.$raise($$($nesting, 'ArgumentError'), \"\" + \"wrong number of arguments (\" + (arity) + \" for \" + (self.length) + \")\")\n        }\n      }\n\n      function curried () {\n        var args = $slice.call(arguments),\n            length = args.length,\n            result;\n\n        if (length > arity && self.$$is_lambda && !self.$$is_curried) {\n          self.$raise($$($nesting, 'ArgumentError'), \"\" + \"wrong number of arguments (\" + (length) + \" for \" + (arity) + \")\")\n        }\n\n        if (length >= arity) {\n          return self.$call.apply(self, args);\n        }\n\n        result = function () {\n          return curried.apply(null,\n            args.concat($slice.call(arguments)));\n        }\n        result.$$is_lambda = self.$$is_lambda;\n        result.$$is_curried = true;\n\n        return result;\n      };\n\n      curried.$$is_lambda = self.$$is_lambda;\n      curried.$$is_curried = true;\n      return curried;\n    \n    }, TMP_Proc_curry_9.$$arity = -1);\n    \n    Opal.def(self, '$dup', TMP_Proc_dup_10 = function $$dup() {\n      var self = this;\n\n      \n      var original_proc = self.$$original_proc || self,\n          proc = function () {\n            return original_proc.apply(this, arguments);\n          };\n\n      for (var prop in self) {\n        if (self.hasOwnProperty(prop)) {\n          proc[prop] = self[prop];\n        }\n      }\n\n      return proc;\n    \n    }, TMP_Proc_dup_10.$$arity = 0);\n    return Opal.alias(self, \"clone\", \"dup\");\n  })($nesting[0], Function, $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/method\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$attr_reader', '$arity', '$new', '$class', '$join', '$source_location', '$raise']);\n  \n  (function($base, $super, $parent_nesting) {\n    function $Method(){};\n    var self = $Method = $klass($base, $super, 'Method', $Method);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Method_initialize_1, TMP_Method_arity_2, TMP_Method_parameters_3, TMP_Method_source_location_4, TMP_Method_comments_5, TMP_Method_call_6, TMP_Method_unbind_7, TMP_Method_to_proc_8, TMP_Method_inspect_9;\n\n    def.method = def.receiver = def.owner = def.name = nil;\n    \n    self.$attr_reader(\"owner\", \"receiver\", \"name\");\n    \n    Opal.def(self, '$initialize', TMP_Method_initialize_1 = function $$initialize(receiver, owner, method, name) {\n      var self = this;\n\n      \n      self.receiver = receiver;\n      self.owner = owner;\n      self.name = name;\n      return (self.method = method);\n    }, TMP_Method_initialize_1.$$arity = 4);\n    \n    Opal.def(self, '$arity', TMP_Method_arity_2 = function $$arity() {\n      var self = this;\n\n      return self.method.$arity()\n    }, TMP_Method_arity_2.$$arity = 0);\n    \n    Opal.def(self, '$parameters', TMP_Method_parameters_3 = function $$parameters() {\n      var self = this;\n\n      return self.method.$$parameters\n    }, TMP_Method_parameters_3.$$arity = 0);\n    \n    Opal.def(self, '$source_location', TMP_Method_source_location_4 = function $$source_location() {\n      var $a, self = this;\n\n      return ($truthy($a = self.method.$$source_location) ? $a : [\"(eval)\", 0])\n    }, TMP_Method_source_location_4.$$arity = 0);\n    \n    Opal.def(self, '$comments', TMP_Method_comments_5 = function $$comments() {\n      var $a, self = this;\n\n      return ($truthy($a = self.method.$$comments) ? $a : [])\n    }, TMP_Method_comments_5.$$arity = 0);\n    \n    Opal.def(self, '$call', TMP_Method_call_6 = function $$call($a_rest) {\n      var self = this, args, $iter = TMP_Method_call_6.$$p, block = $iter || nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Method_call_6.$$p = null;\n      \n      self.method.$$p = block;\n\n      return self.method.apply(self.receiver, args);\n    \n    }, TMP_Method_call_6.$$arity = -1);\n    Opal.alias(self, \"[]\", \"call\");\n    \n    Opal.def(self, '$unbind', TMP_Method_unbind_7 = function $$unbind() {\n      var self = this;\n\n      return $$($nesting, 'UnboundMethod').$new(self.receiver.$class(), self.owner, self.method, self.name)\n    }, TMP_Method_unbind_7.$$arity = 0);\n    \n    Opal.def(self, '$to_proc', TMP_Method_to_proc_8 = function $$to_proc() {\n      var self = this;\n\n      \n      var proc = self.$call.bind(self);\n      proc.$$unbound = self.method;\n      proc.$$is_lambda = true;\n      return proc;\n    \n    }, TMP_Method_to_proc_8.$$arity = 0);\n    return (Opal.def(self, '$inspect', TMP_Method_inspect_9 = function $$inspect() {\n      var self = this;\n\n      return \"\" + \"#<\" + (self.$class()) + \": \" + (self.receiver.$class()) + \"#\" + (self.name) + \" (defined in \" + (self.owner) + \" in \" + (self.$source_location().$join(\":\")) + \")>\"\n    }, TMP_Method_inspect_9.$$arity = 0), nil) && 'inspect';\n  })($nesting[0], null, $nesting);\n  return (function($base, $super, $parent_nesting) {\n    function $UnboundMethod(){};\n    var self = $UnboundMethod = $klass($base, $super, 'UnboundMethod', $UnboundMethod);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_UnboundMethod_initialize_10, TMP_UnboundMethod_arity_11, TMP_UnboundMethod_parameters_12, TMP_UnboundMethod_source_location_13, TMP_UnboundMethod_comments_14, TMP_UnboundMethod_bind_15, TMP_UnboundMethod_inspect_16;\n\n    def.method = def.owner = def.name = def.source = nil;\n    \n    self.$attr_reader(\"source\", \"owner\", \"name\");\n    \n    Opal.def(self, '$initialize', TMP_UnboundMethod_initialize_10 = function $$initialize(source, owner, method, name) {\n      var self = this;\n\n      \n      self.source = source;\n      self.owner = owner;\n      self.method = method;\n      return (self.name = name);\n    }, TMP_UnboundMethod_initialize_10.$$arity = 4);\n    \n    Opal.def(self, '$arity', TMP_UnboundMethod_arity_11 = function $$arity() {\n      var self = this;\n\n      return self.method.$arity()\n    }, TMP_UnboundMethod_arity_11.$$arity = 0);\n    \n    Opal.def(self, '$parameters', TMP_UnboundMethod_parameters_12 = function $$parameters() {\n      var self = this;\n\n      return self.method.$$parameters\n    }, TMP_UnboundMethod_parameters_12.$$arity = 0);\n    \n    Opal.def(self, '$source_location', TMP_UnboundMethod_source_location_13 = function $$source_location() {\n      var $a, self = this;\n\n      return ($truthy($a = self.method.$$source_location) ? $a : [\"(eval)\", 0])\n    }, TMP_UnboundMethod_source_location_13.$$arity = 0);\n    \n    Opal.def(self, '$comments', TMP_UnboundMethod_comments_14 = function $$comments() {\n      var $a, self = this;\n\n      return ($truthy($a = self.method.$$comments) ? $a : [])\n    }, TMP_UnboundMethod_comments_14.$$arity = 0);\n    \n    Opal.def(self, '$bind', TMP_UnboundMethod_bind_15 = function $$bind(object) {\n      var self = this;\n\n      \n      if (self.owner.$$is_module || Opal.is_a(object, self.owner)) {\n        return $$($nesting, 'Method').$new(object, self.owner, self.method, self.name);\n      }\n      else {\n        self.$raise($$($nesting, 'TypeError'), \"\" + \"can't bind singleton method to a different class (expected \" + (object) + \".kind_of?(\" + (self.owner) + \" to be true)\");\n      }\n    \n    }, TMP_UnboundMethod_bind_15.$$arity = 1);\n    return (Opal.def(self, '$inspect', TMP_UnboundMethod_inspect_16 = function $$inspect() {\n      var self = this;\n\n      return \"\" + \"#<\" + (self.$class()) + \": \" + (self.source) + \"#\" + (self.name) + \" (defined in \" + (self.owner) + \" in \" + (self.$source_location().$join(\":\")) + \")>\"\n    }, TMP_UnboundMethod_inspect_16.$$arity = 0), nil) && 'inspect';\n  })($nesting[0], null, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/variables\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $gvars = Opal.gvars, $hash2 = Opal.hash2;\n\n  Opal.add_stubs(['$new']);\n  \n  $gvars['&'] = $gvars['~'] = $gvars['`'] = $gvars[\"'\"] = nil;\n  $gvars.LOADED_FEATURES = ($gvars[\"\\\"\"] = Opal.loaded_features);\n  $gvars.LOAD_PATH = ($gvars[\":\"] = []);\n  $gvars[\"/\"] = \"\\n\";\n  $gvars[\",\"] = nil;\n  Opal.const_set($nesting[0], 'ARGV', []);\n  Opal.const_set($nesting[0], 'ARGF', $$($nesting, 'Object').$new());\n  Opal.const_set($nesting[0], 'ENV', $hash2([], {}));\n  $gvars.VERBOSE = false;\n  $gvars.DEBUG = false;\n  return ($gvars.SAFE = 0);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"opal/regexp_anchors\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module;\n\n  Opal.add_stubs(['$==', '$new']);\n  return (function($base, $parent_nesting) {\n    var $Opal, self = $Opal = $module($base, 'Opal');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    \n    Opal.const_set($nesting[0], 'REGEXP_START', (function() {if ($$($nesting, 'RUBY_ENGINE')['$=='](\"opal\")) {\n      return \"^\"\n    } else {\n      return nil\n    }; return nil; })());\n    Opal.const_set($nesting[0], 'REGEXP_END', (function() {if ($$($nesting, 'RUBY_ENGINE')['$=='](\"opal\")) {\n      return \"$\"\n    } else {\n      return nil\n    }; return nil; })());\n    Opal.const_set($nesting[0], 'FORBIDDEN_STARTING_IDENTIFIER_CHARS', \"\\\\u0001-\\\\u002F\\\\u003A-\\\\u0040\\\\u005B-\\\\u005E\\\\u0060\\\\u007B-\\\\u007F\");\n    Opal.const_set($nesting[0], 'FORBIDDEN_ENDING_IDENTIFIER_CHARS', \"\\\\u0001-\\\\u0020\\\\u0022-\\\\u002F\\\\u003A-\\\\u003E\\\\u0040\\\\u005B-\\\\u005E\\\\u0060\\\\u007B-\\\\u007F\");\n    Opal.const_set($nesting[0], 'INLINE_IDENTIFIER_REGEXP', $$($nesting, 'Regexp').$new(\"\" + \"[^\" + ($$($nesting, 'FORBIDDEN_STARTING_IDENTIFIER_CHARS')) + \"]*[^\" + ($$($nesting, 'FORBIDDEN_ENDING_IDENTIFIER_CHARS')) + \"]\"));\n    Opal.const_set($nesting[0], 'FORBIDDEN_CONST_NAME_CHARS', \"\\\\u0001-\\\\u0020\\\\u0021-\\\\u002F\\\\u003B-\\\\u003F\\\\u0040\\\\u005B-\\\\u005E\\\\u0060\\\\u007B-\\\\u007F\");\n    Opal.const_set($nesting[0], 'CONST_NAME_REGEXP', $$($nesting, 'Regexp').$new(\"\" + ($$($nesting, 'REGEXP_START')) + \"(::)?[A-Z][^\" + ($$($nesting, 'FORBIDDEN_CONST_NAME_CHARS')) + \"]*\" + ($$($nesting, 'REGEXP_END'))));\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"opal/mini\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice;\n\n  Opal.add_stubs(['$require']);\n  \n  self.$require(\"opal/base\");\n  self.$require(\"corelib/nil\");\n  self.$require(\"corelib/boolean\");\n  self.$require(\"corelib/string\");\n  self.$require(\"corelib/comparable\");\n  self.$require(\"corelib/enumerable\");\n  self.$require(\"corelib/enumerator\");\n  self.$require(\"corelib/array\");\n  self.$require(\"corelib/hash\");\n  self.$require(\"corelib/number\");\n  self.$require(\"corelib/range\");\n  self.$require(\"corelib/proc\");\n  self.$require(\"corelib/method\");\n  self.$require(\"corelib/regexp\");\n  self.$require(\"corelib/variables\");\n  return self.$require(\"opal/regexp_anchors\");\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/string/inheritance\"] = function(Opal) {\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $send = Opal.send, $truthy = Opal.truthy, $gvars = Opal.gvars;\n\n  Opal.add_stubs(['$require', '$new', '$allocate', '$initialize', '$to_proc', '$__send__', '$class', '$clone', '$respond_to?', '$==', '$to_s', '$inspect', '$+', '$*', '$map', '$split', '$enum_for', '$each_line', '$to_a', '$%', '$-']);\n  \n  self.$require(\"corelib/string\");\n  (function($base, $super, $parent_nesting) {\n    function $String(){};\n    var self = $String = $klass($base, $super, 'String', $String);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_String_inherited_1;\n\n    return (Opal.defs(self, '$inherited', TMP_String_inherited_1 = function $$inherited(klass) {\n      var self = this, replace = nil;\n\n      \n      replace = $$($nesting, 'Class').$new($$$($$($nesting, 'String'), 'Wrapper'));\n      \n      klass.$$proto         = replace.$$proto;\n      klass.$$proto.$$class = klass;\n      klass.$$alloc         = replace.$$alloc;\n      klass.$$parent        = $$$($$($nesting, 'String'), 'Wrapper');\n\n      klass.$allocate = replace.$allocate;\n      klass.$new      = replace.$new;\n    ;\n    }, TMP_String_inherited_1.$$arity = 1), nil) && 'inherited'\n  })($nesting[0], null, $nesting);\n  return (function($base, $super, $parent_nesting) {\n    function $Wrapper(){};\n    var self = $Wrapper = $klass($base, $super, 'Wrapper', $Wrapper);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Wrapper_allocate_2, TMP_Wrapper_new_3, TMP_Wrapper_$$_4, TMP_Wrapper_initialize_5, TMP_Wrapper_method_missing_6, TMP_Wrapper_initialize_copy_7, TMP_Wrapper_respond_to$q_8, TMP_Wrapper_$eq$eq_9, TMP_Wrapper_to_s_10, TMP_Wrapper_inspect_11, TMP_Wrapper_$_12, TMP_Wrapper_$_13, TMP_Wrapper_split_15, TMP_Wrapper_replace_16, TMP_Wrapper_each_line_17, TMP_Wrapper_lines_19, TMP_Wrapper_$_20, TMP_Wrapper_instance_variables_21;\n\n    def.literal = nil;\n    \n    def.$$is_string = true;\n    Opal.defs(self, '$allocate', TMP_Wrapper_allocate_2 = function $$allocate(string) {\n      var self = this, $iter = TMP_Wrapper_allocate_2.$$p, $yield = $iter || nil, obj = nil;\n\n      if (string == null) {\n        string = \"\";\n      }\n      if ($iter) TMP_Wrapper_allocate_2.$$p = null;\n      \n      obj = $send(self, Opal.find_super_dispatcher(self, 'allocate', TMP_Wrapper_allocate_2, false, $Wrapper), [], null);\n      obj.literal = string;\n      return obj;\n    }, TMP_Wrapper_allocate_2.$$arity = -1);\n    Opal.defs(self, '$new', TMP_Wrapper_new_3 = function($a_rest) {\n      var self = this, args, $iter = TMP_Wrapper_new_3.$$p, block = $iter || nil, obj = nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Wrapper_new_3.$$p = null;\n      \n      obj = self.$allocate();\n      $send(obj, 'initialize', Opal.to_a(args), block.$to_proc());\n      return obj;\n    }, TMP_Wrapper_new_3.$$arity = -1);\n    Opal.defs(self, '$[]', TMP_Wrapper_$$_4 = function($a_rest) {\n      var self = this, objects;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      objects = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        objects[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      return self.$allocate(objects)\n    }, TMP_Wrapper_$$_4.$$arity = -1);\n    \n    Opal.def(self, '$initialize', TMP_Wrapper_initialize_5 = function $$initialize(string) {\n      var self = this;\n\n      if (string == null) {\n        string = \"\";\n      }\n      return (self.literal = string)\n    }, TMP_Wrapper_initialize_5.$$arity = -1);\n    \n    Opal.def(self, '$method_missing', TMP_Wrapper_method_missing_6 = function $$method_missing($a_rest) {\n      var self = this, args, $iter = TMP_Wrapper_method_missing_6.$$p, block = $iter || nil, result = nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Wrapper_method_missing_6.$$p = null;\n      \n      result = $send(self.literal, '__send__', Opal.to_a(args), block.$to_proc());\n      if ($truthy(result.$$is_string != null)) {\n        if ($truthy(result == self.literal)) {\n          return self\n        } else {\n          return self.$class().$allocate(result)\n        }\n      } else {\n        return result\n      };\n    }, TMP_Wrapper_method_missing_6.$$arity = -1);\n    \n    Opal.def(self, '$initialize_copy', TMP_Wrapper_initialize_copy_7 = function $$initialize_copy(other) {\n      var self = this;\n\n      return (self.literal = (other.literal).$clone())\n    }, TMP_Wrapper_initialize_copy_7.$$arity = 1);\n    \n    Opal.def(self, '$respond_to?', TMP_Wrapper_respond_to$q_8 = function(name, $a_rest) {\n      var $b, self = this, $iter = TMP_Wrapper_respond_to$q_8.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n      if ($iter) TMP_Wrapper_respond_to$q_8.$$p = null;\n      // Prepare super implicit arguments\n      for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n        $zuper[$zuper_i] = arguments[$zuper_i];\n      }\n      return ($truthy($b = $send(self, Opal.find_super_dispatcher(self, 'respond_to?', TMP_Wrapper_respond_to$q_8, false), $zuper, $iter)) ? $b : self.literal['$respond_to?'](name))\n    }, TMP_Wrapper_respond_to$q_8.$$arity = -2);\n    \n    Opal.def(self, '$==', TMP_Wrapper_$eq$eq_9 = function(other) {\n      var self = this;\n\n      return self.literal['$=='](other)\n    }, TMP_Wrapper_$eq$eq_9.$$arity = 1);\n    Opal.alias(self, \"eql?\", \"==\");\n    Opal.alias(self, \"===\", \"==\");\n    \n    Opal.def(self, '$to_s', TMP_Wrapper_to_s_10 = function $$to_s() {\n      var self = this;\n\n      return self.literal.$to_s()\n    }, TMP_Wrapper_to_s_10.$$arity = 0);\n    Opal.alias(self, \"to_str\", \"to_s\");\n    \n    Opal.def(self, '$inspect', TMP_Wrapper_inspect_11 = function $$inspect() {\n      var self = this;\n\n      return self.literal.$inspect()\n    }, TMP_Wrapper_inspect_11.$$arity = 0);\n    \n    Opal.def(self, '$+', TMP_Wrapper_$_12 = function(other) {\n      var self = this;\n\n      return $rb_plus(self.literal, other)\n    }, TMP_Wrapper_$_12.$$arity = 1);\n    \n    Opal.def(self, '$*', TMP_Wrapper_$_13 = function(other) {\n      var self = this;\n\n      \n      var result = $rb_times(self.literal, other);\n\n      if (result.$$is_string) {\n        return self.$class().$allocate(result)\n      }\n      else {\n        return result;\n      }\n    \n    }, TMP_Wrapper_$_13.$$arity = 1);\n    \n    Opal.def(self, '$split', TMP_Wrapper_split_15 = function $$split(pattern, limit) {\n      var TMP_14, self = this;\n\n      return $send(self.literal.$split(pattern, limit), 'map', [], (TMP_14 = function(str){var self = TMP_14.$$s || this;\nif (str == null) str = nil;\n      return self.$class().$allocate(str)}, TMP_14.$$s = self, TMP_14.$$arity = 1, TMP_14))\n    }, TMP_Wrapper_split_15.$$arity = -1);\n    \n    Opal.def(self, '$replace', TMP_Wrapper_replace_16 = function $$replace(string) {\n      var self = this;\n\n      return (self.literal = string)\n    }, TMP_Wrapper_replace_16.$$arity = 1);\n    \n    Opal.def(self, '$each_line', TMP_Wrapper_each_line_17 = function $$each_line(separator) {\n      var TMP_18, self = this, $iter = TMP_Wrapper_each_line_17.$$p, $yield = $iter || nil;\n      if ($gvars[\"/\"] == null) $gvars[\"/\"] = nil;\n\n      if (separator == null) {\n        separator = $gvars[\"/\"];\n      }\n      if ($iter) TMP_Wrapper_each_line_17.$$p = null;\n      \n      if (($yield !== nil)) {\n      } else {\n        return self.$enum_for(\"each_line\", separator)\n      };\n      return $send(self.literal, 'each_line', [separator], (TMP_18 = function(str){var self = TMP_18.$$s || this;\nif (str == null) str = nil;\n      return Opal.yield1($yield, self.$class().$allocate(str));}, TMP_18.$$s = self, TMP_18.$$arity = 1, TMP_18));\n    }, TMP_Wrapper_each_line_17.$$arity = -1);\n    \n    Opal.def(self, '$lines', TMP_Wrapper_lines_19 = function $$lines(separator) {\n      var self = this, $iter = TMP_Wrapper_lines_19.$$p, block = $iter || nil, e = nil;\n      if ($gvars[\"/\"] == null) $gvars[\"/\"] = nil;\n\n      if (separator == null) {\n        separator = $gvars[\"/\"];\n      }\n      if ($iter) TMP_Wrapper_lines_19.$$p = null;\n      \n      e = $send(self, 'each_line', [separator], block.$to_proc());\n      if ($truthy(block)) {\n        return self\n      } else {\n        return e.$to_a()\n      };\n    }, TMP_Wrapper_lines_19.$$arity = -1);\n    \n    Opal.def(self, '$%', TMP_Wrapper_$_20 = function(data) {\n      var self = this;\n\n      return self.literal['$%'](data)\n    }, TMP_Wrapper_$_20.$$arity = 1);\n    return (Opal.def(self, '$instance_variables', TMP_Wrapper_instance_variables_21 = function $$instance_variables() {\n      var self = this, $iter = TMP_Wrapper_instance_variables_21.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n      if ($iter) TMP_Wrapper_instance_variables_21.$$p = null;\n      // Prepare super implicit arguments\n      for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n        $zuper[$zuper_i] = arguments[$zuper_i];\n      }\n      return $rb_minus($send(self, Opal.find_super_dispatcher(self, 'instance_variables', TMP_Wrapper_instance_variables_21, false), $zuper, $iter), [\"@literal\"])\n    }, TMP_Wrapper_instance_variables_21.$$arity = 0), nil) && 'instance_variables';\n  })($$($nesting, 'String'), null, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/string/encoding\"] = function(Opal) {\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  var TMP_12, TMP_15, TMP_18, TMP_21, TMP_24, self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy, $send = Opal.send, $hash2 = Opal.hash2;\n\n  Opal.add_stubs(['$require', '$+', '$[]', '$new', '$to_proc', '$each', '$const_set', '$sub', '$==', '$default_external', '$upcase', '$raise', '$attr_accessor', '$attr_reader', '$register', '$length', '$bytes', '$to_a', '$each_byte', '$bytesize', '$enum_for', '$force_encoding', '$dup', '$coerce_to!', '$find', '$getbyte']);\n  \n  self.$require(\"corelib/string\");\n  (function($base, $super, $parent_nesting) {\n    function $Encoding(){};\n    var self = $Encoding = $klass($base, $super, 'Encoding', $Encoding);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Encoding_register_1, TMP_Encoding_find_3, TMP_Encoding_initialize_4, TMP_Encoding_ascii_compatible$q_5, TMP_Encoding_dummy$q_6, TMP_Encoding_to_s_7, TMP_Encoding_inspect_8, TMP_Encoding_each_byte_9, TMP_Encoding_getbyte_10, TMP_Encoding_bytesize_11;\n\n    def.ascii = def.dummy = def.name = nil;\n    \n    self[\"$$register\"] = {};\n    Opal.defs(self, '$register', TMP_Encoding_register_1 = function $$register(name, options) {\n      var $a, TMP_2, self = this, $iter = TMP_Encoding_register_1.$$p, block = $iter || nil, names = nil, encoding = nil, register = nil;\n\n      if (options == null) {\n        options = $hash2([], {});\n      }\n      if ($iter) TMP_Encoding_register_1.$$p = null;\n      \n      names = $rb_plus([name], ($truthy($a = options['$[]'](\"aliases\")) ? $a : []));\n      encoding = $send($$($nesting, 'Class'), 'new', [self], block.$to_proc()).$new(name, names, ($truthy($a = options['$[]'](\"ascii\")) ? $a : false), ($truthy($a = options['$[]'](\"dummy\")) ? $a : false));\n      register = self[\"$$register\"];\n      return $send(names, 'each', [], (TMP_2 = function(encoding_name){var self = TMP_2.$$s || this;\nif (encoding_name == null) encoding_name = nil;\n      \n        self.$const_set(encoding_name.$sub(\"-\", \"_\"), encoding);\n        return register[\"\" + \"$$\" + (encoding_name)] = encoding;}, TMP_2.$$s = self, TMP_2.$$arity = 1, TMP_2));\n    }, TMP_Encoding_register_1.$$arity = -2);\n    Opal.defs(self, '$find', TMP_Encoding_find_3 = function $$find(name) {\n      var $a, self = this, register = nil, encoding = nil;\n\n      \n      if (name['$=='](\"default_external\")) {\n        return self.$default_external()};\n      register = self[\"$$register\"];\n      encoding = ($truthy($a = register[\"\" + \"$$\" + (name)]) ? $a : register[\"\" + \"$$\" + (name.$upcase())]);\n      if ($truthy(encoding)) {\n      } else {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"unknown encoding name - \" + (name))\n      };\n      return encoding;\n    }, TMP_Encoding_find_3.$$arity = 1);\n    (function(self, $parent_nesting) {\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n      return self.$attr_accessor(\"default_external\")\n    })(Opal.get_singleton_class(self), $nesting);\n    self.$attr_reader(\"name\", \"names\");\n    \n    Opal.def(self, '$initialize', TMP_Encoding_initialize_4 = function $$initialize(name, names, ascii, dummy) {\n      var self = this;\n\n      \n      self.name = name;\n      self.names = names;\n      self.ascii = ascii;\n      return (self.dummy = dummy);\n    }, TMP_Encoding_initialize_4.$$arity = 4);\n    \n    Opal.def(self, '$ascii_compatible?', TMP_Encoding_ascii_compatible$q_5 = function() {\n      var self = this;\n\n      return self.ascii\n    }, TMP_Encoding_ascii_compatible$q_5.$$arity = 0);\n    \n    Opal.def(self, '$dummy?', TMP_Encoding_dummy$q_6 = function() {\n      var self = this;\n\n      return self.dummy\n    }, TMP_Encoding_dummy$q_6.$$arity = 0);\n    \n    Opal.def(self, '$to_s', TMP_Encoding_to_s_7 = function $$to_s() {\n      var self = this;\n\n      return self.name\n    }, TMP_Encoding_to_s_7.$$arity = 0);\n    \n    Opal.def(self, '$inspect', TMP_Encoding_inspect_8 = function $$inspect() {\n      var self = this;\n\n      return \"\" + \"#<Encoding:\" + (self.name) + ((function() {if ($truthy(self.dummy)) {\n        return \" (dummy)\"\n      } else {\n        return nil\n      }; return nil; })()) + \">\"\n    }, TMP_Encoding_inspect_8.$$arity = 0);\n    \n    Opal.def(self, '$each_byte', TMP_Encoding_each_byte_9 = function $$each_byte($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'))\n    }, TMP_Encoding_each_byte_9.$$arity = -1);\n    \n    Opal.def(self, '$getbyte', TMP_Encoding_getbyte_10 = function $$getbyte($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'))\n    }, TMP_Encoding_getbyte_10.$$arity = -1);\n    \n    Opal.def(self, '$bytesize', TMP_Encoding_bytesize_11 = function $$bytesize($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'))\n    }, TMP_Encoding_bytesize_11.$$arity = -1);\n    (function($base, $super, $parent_nesting) {\n      function $EncodingError(){};\n      var self = $EncodingError = $klass($base, $super, 'EncodingError', $EncodingError);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n      return nil\n    })($nesting[0], $$($nesting, 'StandardError'), $nesting);\n    return (function($base, $super, $parent_nesting) {\n      function $CompatibilityError(){};\n      var self = $CompatibilityError = $klass($base, $super, 'CompatibilityError', $CompatibilityError);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n      return nil\n    })($nesting[0], $$($nesting, 'EncodingError'), $nesting);\n  })($nesting[0], null, $nesting);\n  $send($$($nesting, 'Encoding'), 'register', [\"UTF-8\", $hash2([\"aliases\", \"ascii\"], {\"aliases\": [\"CP65001\"], \"ascii\": true})], (TMP_12 = function(){var self = TMP_12.$$s || this, TMP_each_byte_13, TMP_bytesize_14;\n\n  \n    \n    Opal.def(self, '$each_byte', TMP_each_byte_13 = function $$each_byte(string) {\n      var self = this, $iter = TMP_each_byte_13.$$p, block = $iter || nil;\n\n      if ($iter) TMP_each_byte_13.$$p = null;\n      \n      for (var i = 0, length = string.length; i < length; i++) {\n        var code = string.charCodeAt(i);\n\n        if (code <= 0x7f) {\n          Opal.yield1(block, code);\n        }\n        else {\n          var encoded = encodeURIComponent(string.charAt(i)).substr(1).split('%');\n\n          for (var j = 0, encoded_length = encoded.length; j < encoded_length; j++) {\n            Opal.yield1(block, parseInt(encoded[j], 16));\n          }\n        }\n      }\n    \n    }, TMP_each_byte_13.$$arity = 1);\n    return (Opal.def(self, '$bytesize', TMP_bytesize_14 = function $$bytesize(string) {\n      var self = this;\n\n      return string.$bytes().$length()\n    }, TMP_bytesize_14.$$arity = 1), nil) && 'bytesize';}, TMP_12.$$s = self, TMP_12.$$arity = 0, TMP_12));\n  $send($$($nesting, 'Encoding'), 'register', [\"UTF-16LE\"], (TMP_15 = function(){var self = TMP_15.$$s || this, TMP_each_byte_16, TMP_bytesize_17;\n\n  \n    \n    Opal.def(self, '$each_byte', TMP_each_byte_16 = function $$each_byte(string) {\n      var self = this, $iter = TMP_each_byte_16.$$p, block = $iter || nil;\n\n      if ($iter) TMP_each_byte_16.$$p = null;\n      \n      for (var i = 0, length = string.length; i < length; i++) {\n        var code = string.charCodeAt(i);\n\n        Opal.yield1(block, code & 0xff);\n        Opal.yield1(block, code >> 8);\n      }\n    \n    }, TMP_each_byte_16.$$arity = 1);\n    return (Opal.def(self, '$bytesize', TMP_bytesize_17 = function $$bytesize(string) {\n      var self = this;\n\n      return string.$bytes().$length()\n    }, TMP_bytesize_17.$$arity = 1), nil) && 'bytesize';}, TMP_15.$$s = self, TMP_15.$$arity = 0, TMP_15));\n  $send($$($nesting, 'Encoding'), 'register', [\"UTF-16BE\"], (TMP_18 = function(){var self = TMP_18.$$s || this, TMP_each_byte_19, TMP_bytesize_20;\n\n  \n    \n    Opal.def(self, '$each_byte', TMP_each_byte_19 = function $$each_byte(string) {\n      var self = this, $iter = TMP_each_byte_19.$$p, block = $iter || nil;\n\n      if ($iter) TMP_each_byte_19.$$p = null;\n      \n      for (var i = 0, length = string.length; i < length; i++) {\n        var code = string.charCodeAt(i);\n\n        Opal.yield1(block, code >> 8);\n        Opal.yield1(block, code & 0xff);\n      }\n    \n    }, TMP_each_byte_19.$$arity = 1);\n    return (Opal.def(self, '$bytesize', TMP_bytesize_20 = function $$bytesize(string) {\n      var self = this;\n\n      return string.$bytes().$length()\n    }, TMP_bytesize_20.$$arity = 1), nil) && 'bytesize';}, TMP_18.$$s = self, TMP_18.$$arity = 0, TMP_18));\n  $send($$($nesting, 'Encoding'), 'register', [\"UTF-32LE\"], (TMP_21 = function(){var self = TMP_21.$$s || this, TMP_each_byte_22, TMP_bytesize_23;\n\n  \n    \n    Opal.def(self, '$each_byte', TMP_each_byte_22 = function $$each_byte(string) {\n      var self = this, $iter = TMP_each_byte_22.$$p, block = $iter || nil;\n\n      if ($iter) TMP_each_byte_22.$$p = null;\n      \n      for (var i = 0, length = string.length; i < length; i++) {\n        var code = string.charCodeAt(i);\n\n        Opal.yield1(block, code & 0xff);\n        Opal.yield1(block, code >> 8);\n      }\n    \n    }, TMP_each_byte_22.$$arity = 1);\n    return (Opal.def(self, '$bytesize', TMP_bytesize_23 = function $$bytesize(string) {\n      var self = this;\n\n      return string.$bytes().$length()\n    }, TMP_bytesize_23.$$arity = 1), nil) && 'bytesize';}, TMP_21.$$s = self, TMP_21.$$arity = 0, TMP_21));\n  $send($$($nesting, 'Encoding'), 'register', [\"ASCII-8BIT\", $hash2([\"aliases\", \"ascii\", \"dummy\"], {\"aliases\": [\"BINARY\", \"US-ASCII\", \"ASCII\"], \"ascii\": true, \"dummy\": true})], (TMP_24 = function(){var self = TMP_24.$$s || this, TMP_each_byte_25, TMP_bytesize_26;\n\n  \n    \n    Opal.def(self, '$each_byte', TMP_each_byte_25 = function $$each_byte(string) {\n      var self = this, $iter = TMP_each_byte_25.$$p, block = $iter || nil;\n\n      if ($iter) TMP_each_byte_25.$$p = null;\n      \n      for (var i = 0, length = string.length; i < length; i++) {\n        var code = string.charCodeAt(i);\n        Opal.yield1(block, code & 0xff);\n        Opal.yield1(block, code >> 8);\n      }\n    \n    }, TMP_each_byte_25.$$arity = 1);\n    return (Opal.def(self, '$bytesize', TMP_bytesize_26 = function $$bytesize(string) {\n      var self = this;\n\n      return string.$bytes().$length()\n    }, TMP_bytesize_26.$$arity = 1), nil) && 'bytesize';}, TMP_24.$$s = self, TMP_24.$$arity = 0, TMP_24));\n  return (function($base, $super, $parent_nesting) {\n    function $String(){};\n    var self = $String = $klass($base, $super, 'String', $String);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_String_bytes_27, TMP_String_bytesize_28, TMP_String_each_byte_29, TMP_String_encode_30, TMP_String_force_encoding_31, TMP_String_getbyte_32, TMP_String_valid_encoding$q_33;\n\n    def.encoding = nil;\n    \n    self.$attr_reader(\"encoding\");\n    String.prototype.encoding = $$$($$($nesting, 'Encoding'), 'UTF_16LE');\n    \n    Opal.def(self, '$bytes', TMP_String_bytes_27 = function $$bytes() {\n      var self = this;\n\n      return self.$each_byte().$to_a()\n    }, TMP_String_bytes_27.$$arity = 0);\n    \n    Opal.def(self, '$bytesize', TMP_String_bytesize_28 = function $$bytesize() {\n      var self = this;\n\n      return self.encoding.$bytesize(self)\n    }, TMP_String_bytesize_28.$$arity = 0);\n    \n    Opal.def(self, '$each_byte', TMP_String_each_byte_29 = function $$each_byte() {\n      var self = this, $iter = TMP_String_each_byte_29.$$p, block = $iter || nil;\n\n      if ($iter) TMP_String_each_byte_29.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return self.$enum_for(\"each_byte\")\n      };\n      $send(self.encoding, 'each_byte', [self], block.$to_proc());\n      return self;\n    }, TMP_String_each_byte_29.$$arity = 0);\n    \n    Opal.def(self, '$encode', TMP_String_encode_30 = function $$encode(encoding) {\n      var self = this;\n\n      return self.$dup().$force_encoding(encoding)\n    }, TMP_String_encode_30.$$arity = 1);\n    \n    Opal.def(self, '$force_encoding', TMP_String_force_encoding_31 = function $$force_encoding(encoding) {\n      var self = this;\n\n      \n      if (encoding === self.encoding) { return self; }\n\n      encoding = $$($nesting, 'Opal')['$coerce_to!'](encoding, $$($nesting, 'String'), \"to_s\");\n      encoding = $$($nesting, 'Encoding').$find(encoding);\n\n      if (encoding === self.encoding) { return self; }\n\n      self.encoding = encoding;\n      return self;\n    \n    }, TMP_String_force_encoding_31.$$arity = 1);\n    \n    Opal.def(self, '$getbyte', TMP_String_getbyte_32 = function $$getbyte(idx) {\n      var self = this;\n\n      return self.encoding.$getbyte(self, idx)\n    }, TMP_String_getbyte_32.$$arity = 1);\n    return (Opal.def(self, '$valid_encoding?', TMP_String_valid_encoding$q_33 = function() {\n      var self = this;\n\n      return true\n    }, TMP_String_valid_encoding$q_33.$$arity = 0), nil) && 'valid_encoding?';\n  })($nesting[0], null, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/math\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_divide(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs / rhs : lhs['$/'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$new', '$raise', '$Float', '$type_error', '$Integer', '$module_function', '$checked', '$float!', '$===', '$gamma', '$-', '$integer!', '$/', '$infinite?']);\n  return (function($base, $parent_nesting) {\n    var $Math, self = $Math = $module($base, 'Math');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Math_checked_1, TMP_Math_float$B_2, TMP_Math_integer$B_3, TMP_Math_acos_4, TMP_Math_acosh_5, TMP_Math_asin_6, TMP_Math_asinh_7, TMP_Math_atan_8, TMP_Math_atan2_9, TMP_Math_atanh_10, TMP_Math_cbrt_11, TMP_Math_cos_12, TMP_Math_cosh_13, TMP_Math_erf_14, TMP_Math_erfc_15, TMP_Math_exp_16, TMP_Math_frexp_17, TMP_Math_gamma_18, TMP_Math_hypot_19, TMP_Math_ldexp_20, TMP_Math_lgamma_21, TMP_Math_log_22, TMP_Math_log10_23, TMP_Math_log2_24, TMP_Math_sin_25, TMP_Math_sinh_26, TMP_Math_sqrt_27, TMP_Math_tan_28, TMP_Math_tanh_29;\n\n    \n    Opal.const_set($nesting[0], 'E', Math.E);\n    Opal.const_set($nesting[0], 'PI', Math.PI);\n    Opal.const_set($nesting[0], 'DomainError', $$($nesting, 'Class').$new($$($nesting, 'StandardError')));\n    Opal.defs(self, '$checked', TMP_Math_checked_1 = function $$checked(method, $a_rest) {\n      var self = this, args;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 1;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 1] = arguments[$arg_idx];\n      }\n      \n      if (isNaN(args[0]) || (args.length == 2 && isNaN(args[1]))) {\n        return NaN;\n      }\n\n      var result = Math[method].apply(null, args);\n\n      if (isNaN(result)) {\n        self.$raise($$($nesting, 'DomainError'), \"\" + \"Numerical argument is out of domain - \\\"\" + (method) + \"\\\"\");\n      }\n\n      return result;\n    \n    }, TMP_Math_checked_1.$$arity = -2);\n    Opal.defs(self, '$float!', TMP_Math_float$B_2 = function(value) {\n      var self = this;\n\n      try {\n        return self.$Float(value)\n      } catch ($err) {\n        if (Opal.rescue($err, [$$($nesting, 'ArgumentError')])) {\n          try {\n            return self.$raise($$($nesting, 'Opal').$type_error(value, $$($nesting, 'Float')))\n          } finally { Opal.pop_exception() }\n        } else { throw $err; }\n      }\n    }, TMP_Math_float$B_2.$$arity = 1);\n    Opal.defs(self, '$integer!', TMP_Math_integer$B_3 = function(value) {\n      var self = this;\n\n      try {\n        return self.$Integer(value)\n      } catch ($err) {\n        if (Opal.rescue($err, [$$($nesting, 'ArgumentError')])) {\n          try {\n            return self.$raise($$($nesting, 'Opal').$type_error(value, $$($nesting, 'Integer')))\n          } finally { Opal.pop_exception() }\n        } else { throw $err; }\n      }\n    }, TMP_Math_integer$B_3.$$arity = 1);\n    self.$module_function();\n    \n    Opal.def(self, '$acos', TMP_Math_acos_4 = function $$acos(x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"acos\", $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_acos_4.$$arity = 1);\n    if ($truthy((typeof(Math.acosh) !== \"undefined\"))) {\n    } else {\n      \n      Math.acosh = function(x) {\n        return Math.log(x + Math.sqrt(x * x - 1));\n      }\n    \n    };\n    \n    Opal.def(self, '$acosh', TMP_Math_acosh_5 = function $$acosh(x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"acosh\", $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_acosh_5.$$arity = 1);\n    \n    Opal.def(self, '$asin', TMP_Math_asin_6 = function $$asin(x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"asin\", $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_asin_6.$$arity = 1);\n    if ($truthy((typeof(Math.asinh) !== \"undefined\"))) {\n    } else {\n      \n      Math.asinh = function(x) {\n        return Math.log(x + Math.sqrt(x * x + 1))\n      }\n    \n    };\n    \n    Opal.def(self, '$asinh', TMP_Math_asinh_7 = function $$asinh(x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"asinh\", $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_asinh_7.$$arity = 1);\n    \n    Opal.def(self, '$atan', TMP_Math_atan_8 = function $$atan(x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"atan\", $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_atan_8.$$arity = 1);\n    \n    Opal.def(self, '$atan2', TMP_Math_atan2_9 = function $$atan2(y, x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"atan2\", $$($nesting, 'Math')['$float!'](y), $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_atan2_9.$$arity = 2);\n    if ($truthy((typeof(Math.atanh) !== \"undefined\"))) {\n    } else {\n      \n      Math.atanh = function(x) {\n        return 0.5 * Math.log((1 + x) / (1 - x));\n      }\n    \n    };\n    \n    Opal.def(self, '$atanh', TMP_Math_atanh_10 = function $$atanh(x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"atanh\", $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_atanh_10.$$arity = 1);\n    if ($truthy((typeof(Math.cbrt) !== \"undefined\"))) {\n    } else {\n      \n      Math.cbrt = function(x) {\n        if (x == 0) {\n          return 0;\n        }\n\n        if (x < 0) {\n          return -Math.cbrt(-x);\n        }\n\n        var r  = x,\n            ex = 0;\n\n        while (r < 0.125) {\n          r *= 8;\n          ex--;\n        }\n\n        while (r > 1.0) {\n          r *= 0.125;\n          ex++;\n        }\n\n        r = (-0.46946116 * r + 1.072302) * r + 0.3812513;\n\n        while (ex < 0) {\n          r *= 0.5;\n          ex++;\n        }\n\n        while (ex > 0) {\n          r *= 2;\n          ex--;\n        }\n\n        r = (2.0 / 3.0) * r + (1.0 / 3.0) * x / (r * r);\n        r = (2.0 / 3.0) * r + (1.0 / 3.0) * x / (r * r);\n        r = (2.0 / 3.0) * r + (1.0 / 3.0) * x / (r * r);\n        r = (2.0 / 3.0) * r + (1.0 / 3.0) * x / (r * r);\n\n        return r;\n      }\n    \n    };\n    \n    Opal.def(self, '$cbrt', TMP_Math_cbrt_11 = function $$cbrt(x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"cbrt\", $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_cbrt_11.$$arity = 1);\n    \n    Opal.def(self, '$cos', TMP_Math_cos_12 = function $$cos(x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"cos\", $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_cos_12.$$arity = 1);\n    if ($truthy((typeof(Math.cosh) !== \"undefined\"))) {\n    } else {\n      \n      Math.cosh = function(x) {\n        return (Math.exp(x) + Math.exp(-x)) / 2;\n      }\n    \n    };\n    \n    Opal.def(self, '$cosh', TMP_Math_cosh_13 = function $$cosh(x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"cosh\", $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_cosh_13.$$arity = 1);\n    if ($truthy((typeof(Math.erf) !== \"undefined\"))) {\n    } else {\n      \n      Math.erf = function(x) {\n        var A1 =  0.254829592,\n            A2 = -0.284496736,\n            A3 =  1.421413741,\n            A4 = -1.453152027,\n            A5 =  1.061405429,\n            P  =  0.3275911;\n\n        var sign = 1;\n\n        if (x < 0) {\n            sign = -1;\n        }\n\n        x = Math.abs(x);\n\n        var t = 1.0 / (1.0 + P * x);\n        var y = 1.0 - (((((A5 * t + A4) * t) + A3) * t + A2) * t + A1) * t * Math.exp(-x * x);\n\n        return sign * y;\n      }\n    \n    };\n    \n    Opal.def(self, '$erf', TMP_Math_erf_14 = function $$erf(x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"erf\", $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_erf_14.$$arity = 1);\n    if ($truthy((typeof(Math.erfc) !== \"undefined\"))) {\n    } else {\n      \n      Math.erfc = function(x) {\n        var z = Math.abs(x),\n            t = 1.0 / (0.5 * z + 1.0);\n\n        var A1 = t * 0.17087277 + -0.82215223,\n            A2 = t * A1 + 1.48851587,\n            A3 = t * A2 + -1.13520398,\n            A4 = t * A3 + 0.27886807,\n            A5 = t * A4 + -0.18628806,\n            A6 = t * A5 + 0.09678418,\n            A7 = t * A6 + 0.37409196,\n            A8 = t * A7 + 1.00002368,\n            A9 = t * A8,\n            A10 = -z * z - 1.26551223 + A9;\n\n        var a = t * Math.exp(A10);\n\n        if (x < 0.0) {\n          return 2.0 - a;\n        }\n        else {\n          return a;\n        }\n      }\n    \n    };\n    \n    Opal.def(self, '$erfc', TMP_Math_erfc_15 = function $$erfc(x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"erfc\", $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_erfc_15.$$arity = 1);\n    \n    Opal.def(self, '$exp', TMP_Math_exp_16 = function $$exp(x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"exp\", $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_exp_16.$$arity = 1);\n    \n    Opal.def(self, '$frexp', TMP_Math_frexp_17 = function $$frexp(x) {\n      var self = this;\n\n      \n      x = $$($nesting, 'Math')['$float!'](x);\n      \n      if (isNaN(x)) {\n        return [NaN, 0];\n      }\n\n      var ex   = Math.floor(Math.log(Math.abs(x)) / Math.log(2)) + 1,\n          frac = x / Math.pow(2, ex);\n\n      return [frac, ex];\n    ;\n    }, TMP_Math_frexp_17.$$arity = 1);\n    \n    Opal.def(self, '$gamma', TMP_Math_gamma_18 = function $$gamma(n) {\n      var self = this;\n\n      \n      n = $$($nesting, 'Math')['$float!'](n);\n      \n      var i, t, x, value, result, twoN, threeN, fourN, fiveN;\n\n      var G = 4.7421875;\n\n      var P = [\n         0.99999999999999709182,\n         57.156235665862923517,\n        -59.597960355475491248,\n         14.136097974741747174,\n        -0.49191381609762019978,\n         0.33994649984811888699e-4,\n         0.46523628927048575665e-4,\n        -0.98374475304879564677e-4,\n         0.15808870322491248884e-3,\n        -0.21026444172410488319e-3,\n         0.21743961811521264320e-3,\n        -0.16431810653676389022e-3,\n         0.84418223983852743293e-4,\n        -0.26190838401581408670e-4,\n         0.36899182659531622704e-5\n      ];\n\n\n      if (isNaN(n)) {\n        return NaN;\n      }\n\n      if (n === 0 && 1 / n < 0) {\n        return -Infinity;\n      }\n\n      if (n === -1 || n === -Infinity) {\n        self.$raise($$($nesting, 'DomainError'), \"Numerical argument is out of domain - \\\"gamma\\\"\");\n      }\n\n      if ($$($nesting, 'Integer')['$==='](n)) {\n        if (n <= 0) {\n          return isFinite(n) ? Infinity : NaN;\n        }\n\n        if (n > 171) {\n          return Infinity;\n        }\n\n        value  = n - 2;\n        result = n - 1;\n\n        while (value > 1) {\n          result *= value;\n          value--;\n        }\n\n        if (result == 0) {\n          result = 1;\n        }\n\n        return result;\n      }\n\n      if (n < 0.5) {\n        return Math.PI / (Math.sin(Math.PI * n) * $$($nesting, 'Math').$gamma($rb_minus(1, n)));\n      }\n\n      if (n >= 171.35) {\n        return Infinity;\n      }\n\n      if (n > 85.0) {\n        twoN   = n * n;\n        threeN = twoN * n;\n        fourN  = threeN * n;\n        fiveN  = fourN * n;\n\n        return Math.sqrt(2 * Math.PI / n) * Math.pow((n / Math.E), n) *\n          (1 + 1 / (12 * n) + 1 / (288 * twoN) - 139 / (51840 * threeN) -\n          571 / (2488320 * fourN) + 163879 / (209018880 * fiveN) +\n          5246819 / (75246796800 * fiveN * n));\n      }\n\n      n -= 1;\n      x  = P[0];\n\n      for (i = 1; i < P.length; ++i) {\n        x += P[i] / (n + i);\n      }\n\n      t = n + G + 0.5;\n\n      return Math.sqrt(2 * Math.PI) * Math.pow(t, n + 0.5) * Math.exp(-t) * x;\n    ;\n    }, TMP_Math_gamma_18.$$arity = 1);\n    if ($truthy((typeof(Math.hypot) !== \"undefined\"))) {\n    } else {\n      \n      Math.hypot = function(x, y) {\n        return Math.sqrt(x * x + y * y)\n      }\n    \n    };\n    \n    Opal.def(self, '$hypot', TMP_Math_hypot_19 = function $$hypot(x, y) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"hypot\", $$($nesting, 'Math')['$float!'](x), $$($nesting, 'Math')['$float!'](y))\n    }, TMP_Math_hypot_19.$$arity = 2);\n    \n    Opal.def(self, '$ldexp', TMP_Math_ldexp_20 = function $$ldexp(mantissa, exponent) {\n      var self = this;\n\n      \n      mantissa = $$($nesting, 'Math')['$float!'](mantissa);\n      exponent = $$($nesting, 'Math')['$integer!'](exponent);\n      \n      if (isNaN(exponent)) {\n        self.$raise($$($nesting, 'RangeError'), \"float NaN out of range of integer\");\n      }\n\n      return mantissa * Math.pow(2, exponent);\n    ;\n    }, TMP_Math_ldexp_20.$$arity = 2);\n    \n    Opal.def(self, '$lgamma', TMP_Math_lgamma_21 = function $$lgamma(n) {\n      var self = this;\n\n      \n      if (n == -1) {\n        return [Infinity, 1];\n      }\n      else {\n        return [Math.log(Math.abs($$($nesting, 'Math').$gamma(n))), $$($nesting, 'Math').$gamma(n) < 0 ? -1 : 1];\n      }\n    \n    }, TMP_Math_lgamma_21.$$arity = 1);\n    \n    Opal.def(self, '$log', TMP_Math_log_22 = function $$log(x, base) {\n      var self = this;\n\n      \n      if ($truthy($$($nesting, 'String')['$==='](x))) {\n        self.$raise($$($nesting, 'Opal').$type_error(x, $$($nesting, 'Float')))};\n      if ($truthy(base == null)) {\n        return $$($nesting, 'Math').$checked(\"log\", $$($nesting, 'Math')['$float!'](x))\n      } else {\n        \n        if ($truthy($$($nesting, 'String')['$==='](base))) {\n          self.$raise($$($nesting, 'Opal').$type_error(base, $$($nesting, 'Float')))};\n        return $rb_divide($$($nesting, 'Math').$checked(\"log\", $$($nesting, 'Math')['$float!'](x)), $$($nesting, 'Math').$checked(\"log\", $$($nesting, 'Math')['$float!'](base)));\n      };\n    }, TMP_Math_log_22.$$arity = -2);\n    if ($truthy((typeof(Math.log10) !== \"undefined\"))) {\n    } else {\n      \n      Math.log10 = function(x) {\n        return Math.log(x) / Math.LN10;\n      }\n    \n    };\n    \n    Opal.def(self, '$log10', TMP_Math_log10_23 = function $$log10(x) {\n      var self = this;\n\n      \n      if ($truthy($$($nesting, 'String')['$==='](x))) {\n        self.$raise($$($nesting, 'Opal').$type_error(x, $$($nesting, 'Float')))};\n      return $$($nesting, 'Math').$checked(\"log10\", $$($nesting, 'Math')['$float!'](x));\n    }, TMP_Math_log10_23.$$arity = 1);\n    if ($truthy((typeof(Math.log2) !== \"undefined\"))) {\n    } else {\n      \n      Math.log2 = function(x) {\n        return Math.log(x) / Math.LN2;\n      }\n    \n    };\n    \n    Opal.def(self, '$log2', TMP_Math_log2_24 = function $$log2(x) {\n      var self = this;\n\n      \n      if ($truthy($$($nesting, 'String')['$==='](x))) {\n        self.$raise($$($nesting, 'Opal').$type_error(x, $$($nesting, 'Float')))};\n      return $$($nesting, 'Math').$checked(\"log2\", $$($nesting, 'Math')['$float!'](x));\n    }, TMP_Math_log2_24.$$arity = 1);\n    \n    Opal.def(self, '$sin', TMP_Math_sin_25 = function $$sin(x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"sin\", $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_sin_25.$$arity = 1);\n    if ($truthy((typeof(Math.sinh) !== \"undefined\"))) {\n    } else {\n      \n      Math.sinh = function(x) {\n        return (Math.exp(x) - Math.exp(-x)) / 2;\n      }\n    \n    };\n    \n    Opal.def(self, '$sinh', TMP_Math_sinh_26 = function $$sinh(x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"sinh\", $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_sinh_26.$$arity = 1);\n    \n    Opal.def(self, '$sqrt', TMP_Math_sqrt_27 = function $$sqrt(x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"sqrt\", $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_sqrt_27.$$arity = 1);\n    \n    Opal.def(self, '$tan', TMP_Math_tan_28 = function $$tan(x) {\n      var self = this;\n\n      \n      x = $$($nesting, 'Math')['$float!'](x);\n      if ($truthy(x['$infinite?']())) {\n        return $$$($$($nesting, 'Float'), 'NAN')};\n      return $$($nesting, 'Math').$checked(\"tan\", $$($nesting, 'Math')['$float!'](x));\n    }, TMP_Math_tan_28.$$arity = 1);\n    if ($truthy((typeof(Math.tanh) !== \"undefined\"))) {\n    } else {\n      \n      Math.tanh = function(x) {\n        if (x == Infinity) {\n          return 1;\n        }\n        else if (x == -Infinity) {\n          return -1;\n        }\n        else {\n          return (Math.exp(x) - Math.exp(-x)) / (Math.exp(x) + Math.exp(-x));\n        }\n      }\n    \n    };\n    \n    Opal.def(self, '$tanh', TMP_Math_tanh_29 = function $$tanh(x) {\n      var self = this;\n\n      return $$($nesting, 'Math').$checked(\"tanh\", $$($nesting, 'Math')['$float!'](x))\n    }, TMP_Math_tanh_29.$$arity = 1);\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/complex\"] = function(Opal) {\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_divide(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs / rhs : lhs['$/'](rhs);\n  }\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy, $module = Opal.module;\n\n  Opal.add_stubs(['$require', '$===', '$real?', '$raise', '$new', '$*', '$cos', '$sin', '$attr_reader', '$class', '$==', '$real', '$imag', '$Complex', '$-@', '$+', '$__coerced__', '$-', '$nan?', '$/', '$conj', '$abs2', '$quo', '$polar', '$exp', '$log', '$>', '$!=', '$divmod', '$**', '$hypot', '$atan2', '$lcm', '$denominator', '$finite?', '$infinite?', '$numerator', '$abs', '$arg', '$rationalize', '$to_f', '$to_i', '$to_r', '$inspect', '$positive?', '$zero?']);\n  \n  self.$require(\"corelib/numeric\");\n  (function($base, $super, $parent_nesting) {\n    function $Complex(){};\n    var self = $Complex = $klass($base, $super, 'Complex', $Complex);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Complex_rect_1, TMP_Complex_polar_2, TMP_Complex_initialize_3, TMP_Complex_coerce_4, TMP_Complex_$eq$eq_5, TMP_Complex_$$_6, TMP_Complex_$_7, TMP_Complex_$_8, TMP_Complex_$_9, TMP_Complex_$_10, TMP_Complex_$$_11, TMP_Complex_abs_12, TMP_Complex_abs2_13, TMP_Complex_angle_14, TMP_Complex_conj_15, TMP_Complex_denominator_16, TMP_Complex_eql$q_17, TMP_Complex_fdiv_18, TMP_Complex_finite$q_19, TMP_Complex_hash_20, TMP_Complex_infinite$q_21, TMP_Complex_inspect_22, TMP_Complex_numerator_23, TMP_Complex_polar_24, TMP_Complex_rationalize_25, TMP_Complex_real$q_26, TMP_Complex_rect_27, TMP_Complex_to_f_28, TMP_Complex_to_i_29, TMP_Complex_to_r_30, TMP_Complex_to_s_31;\n\n    def.real = def.imag = nil;\n    \n    Opal.defs(self, '$rect', TMP_Complex_rect_1 = function $$rect(real, imag) {\n      var $a, $b, $c, self = this;\n\n      if (imag == null) {\n        imag = 0;\n      }\n      \n      if ($truthy(($truthy($a = ($truthy($b = ($truthy($c = $$($nesting, 'Numeric')['$==='](real)) ? real['$real?']() : $c)) ? $$($nesting, 'Numeric')['$==='](imag) : $b)) ? imag['$real?']() : $a))) {\n      } else {\n        self.$raise($$($nesting, 'TypeError'), \"not a real\")\n      };\n      return self.$new(real, imag);\n    }, TMP_Complex_rect_1.$$arity = -2);\n    (function(self, $parent_nesting) {\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n      return Opal.alias(self, \"rectangular\", \"rect\")\n    })(Opal.get_singleton_class(self), $nesting);\n    Opal.defs(self, '$polar', TMP_Complex_polar_2 = function $$polar(r, theta) {\n      var $a, $b, $c, self = this;\n\n      if (theta == null) {\n        theta = 0;\n      }\n      \n      if ($truthy(($truthy($a = ($truthy($b = ($truthy($c = $$($nesting, 'Numeric')['$==='](r)) ? r['$real?']() : $c)) ? $$($nesting, 'Numeric')['$==='](theta) : $b)) ? theta['$real?']() : $a))) {\n      } else {\n        self.$raise($$($nesting, 'TypeError'), \"not a real\")\n      };\n      return self.$new($rb_times(r, $$($nesting, 'Math').$cos(theta)), $rb_times(r, $$($nesting, 'Math').$sin(theta)));\n    }, TMP_Complex_polar_2.$$arity = -2);\n    self.$attr_reader(\"real\", \"imag\");\n    \n    Opal.def(self, '$initialize', TMP_Complex_initialize_3 = function $$initialize(real, imag) {\n      var self = this;\n\n      if (imag == null) {\n        imag = 0;\n      }\n      \n      self.real = real;\n      return (self.imag = imag);\n    }, TMP_Complex_initialize_3.$$arity = -2);\n    \n    Opal.def(self, '$coerce', TMP_Complex_coerce_4 = function $$coerce(other) {\n      var $a, self = this;\n\n      if ($truthy($$($nesting, 'Complex')['$==='](other))) {\n        return [other, self]\n      } else if ($truthy(($truthy($a = $$($nesting, 'Numeric')['$==='](other)) ? other['$real?']() : $a))) {\n        return [$$($nesting, 'Complex').$new(other, 0), self]\n      } else {\n        return self.$raise($$($nesting, 'TypeError'), \"\" + (other.$class()) + \" can't be coerced into Complex\")\n      }\n    }, TMP_Complex_coerce_4.$$arity = 1);\n    \n    Opal.def(self, '$==', TMP_Complex_$eq$eq_5 = function(other) {\n      var $a, self = this;\n\n      if ($truthy($$($nesting, 'Complex')['$==='](other))) {\n        return (($a = self.real['$=='](other.$real())) ? self.imag['$=='](other.$imag()) : self.real['$=='](other.$real()))\n      } else if ($truthy(($truthy($a = $$($nesting, 'Numeric')['$==='](other)) ? other['$real?']() : $a))) {\n        return (($a = self.real['$=='](other)) ? self.imag['$=='](0) : self.real['$=='](other))\n      } else {\n        return other['$=='](self)\n      }\n    }, TMP_Complex_$eq$eq_5.$$arity = 1);\n    \n    Opal.def(self, '$-@', TMP_Complex_$$_6 = function() {\n      var self = this;\n\n      return self.$Complex(self.real['$-@'](), self.imag['$-@']())\n    }, TMP_Complex_$$_6.$$arity = 0);\n    \n    Opal.def(self, '$+', TMP_Complex_$_7 = function(other) {\n      var $a, self = this;\n\n      if ($truthy($$($nesting, 'Complex')['$==='](other))) {\n        return self.$Complex($rb_plus(self.real, other.$real()), $rb_plus(self.imag, other.$imag()))\n      } else if ($truthy(($truthy($a = $$($nesting, 'Numeric')['$==='](other)) ? other['$real?']() : $a))) {\n        return self.$Complex($rb_plus(self.real, other), self.imag)\n      } else {\n        return self.$__coerced__(\"+\", other)\n      }\n    }, TMP_Complex_$_7.$$arity = 1);\n    \n    Opal.def(self, '$-', TMP_Complex_$_8 = function(other) {\n      var $a, self = this;\n\n      if ($truthy($$($nesting, 'Complex')['$==='](other))) {\n        return self.$Complex($rb_minus(self.real, other.$real()), $rb_minus(self.imag, other.$imag()))\n      } else if ($truthy(($truthy($a = $$($nesting, 'Numeric')['$==='](other)) ? other['$real?']() : $a))) {\n        return self.$Complex($rb_minus(self.real, other), self.imag)\n      } else {\n        return self.$__coerced__(\"-\", other)\n      }\n    }, TMP_Complex_$_8.$$arity = 1);\n    \n    Opal.def(self, '$*', TMP_Complex_$_9 = function(other) {\n      var $a, self = this;\n\n      if ($truthy($$($nesting, 'Complex')['$==='](other))) {\n        return self.$Complex($rb_minus($rb_times(self.real, other.$real()), $rb_times(self.imag, other.$imag())), $rb_plus($rb_times(self.real, other.$imag()), $rb_times(self.imag, other.$real())))\n      } else if ($truthy(($truthy($a = $$($nesting, 'Numeric')['$==='](other)) ? other['$real?']() : $a))) {\n        return self.$Complex($rb_times(self.real, other), $rb_times(self.imag, other))\n      } else {\n        return self.$__coerced__(\"*\", other)\n      }\n    }, TMP_Complex_$_9.$$arity = 1);\n    \n    Opal.def(self, '$/', TMP_Complex_$_10 = function(other) {\n      var $a, $b, $c, $d, self = this;\n\n      if ($truthy($$($nesting, 'Complex')['$==='](other))) {\n        if ($truthy(($truthy($a = ($truthy($b = ($truthy($c = ($truthy($d = $$($nesting, 'Number')['$==='](self.real)) ? self.real['$nan?']() : $d)) ? $c : ($truthy($d = $$($nesting, 'Number')['$==='](self.imag)) ? self.imag['$nan?']() : $d))) ? $b : ($truthy($c = $$($nesting, 'Number')['$==='](other.$real())) ? other.$real()['$nan?']() : $c))) ? $a : ($truthy($b = $$($nesting, 'Number')['$==='](other.$imag())) ? other.$imag()['$nan?']() : $b)))) {\n          return $$($nesting, 'Complex').$new($$$($$($nesting, 'Float'), 'NAN'), $$$($$($nesting, 'Float'), 'NAN'))\n        } else {\n          return $rb_divide($rb_times(self, other.$conj()), other.$abs2())\n        }\n      } else if ($truthy(($truthy($a = $$($nesting, 'Numeric')['$==='](other)) ? other['$real?']() : $a))) {\n        return self.$Complex(self.real.$quo(other), self.imag.$quo(other))\n      } else {\n        return self.$__coerced__(\"/\", other)\n      }\n    }, TMP_Complex_$_10.$$arity = 1);\n    \n    Opal.def(self, '$**', TMP_Complex_$$_11 = function(other) {\n      var $a, $b, $c, $d, self = this, r = nil, theta = nil, ore = nil, oim = nil, nr = nil, ntheta = nil, x = nil, z = nil, n = nil, div = nil, mod = nil;\n\n      \n      if (other['$=='](0)) {\n        return $$($nesting, 'Complex').$new(1, 0)};\n      if ($truthy($$($nesting, 'Complex')['$==='](other))) {\n        \n        $b = self.$polar(), $a = Opal.to_ary($b), (r = ($a[0] == null ? nil : $a[0])), (theta = ($a[1] == null ? nil : $a[1])), $b;\n        ore = other.$real();\n        oim = other.$imag();\n        nr = $$($nesting, 'Math').$exp($rb_minus($rb_times(ore, $$($nesting, 'Math').$log(r)), $rb_times(oim, theta)));\n        ntheta = $rb_plus($rb_times(theta, ore), $rb_times(oim, $$($nesting, 'Math').$log(r)));\n        return $$($nesting, 'Complex').$polar(nr, ntheta);\n      } else if ($truthy($$($nesting, 'Integer')['$==='](other))) {\n        if ($truthy($rb_gt(other, 0))) {\n          \n          x = self;\n          z = x;\n          n = $rb_minus(other, 1);\n          while ($truthy(n['$!='](0))) {\n            \n            $c = n.$divmod(2), $b = Opal.to_ary($c), (div = ($b[0] == null ? nil : $b[0])), (mod = ($b[1] == null ? nil : $b[1])), $c;\n            while (mod['$=='](0)) {\n              \n              x = self.$Complex($rb_minus($rb_times(x.$real(), x.$real()), $rb_times(x.$imag(), x.$imag())), $rb_times($rb_times(2, x.$real()), x.$imag()));\n              n = div;\n              $d = n.$divmod(2), $c = Opal.to_ary($d), (div = ($c[0] == null ? nil : $c[0])), (mod = ($c[1] == null ? nil : $c[1])), $d;\n            };\n            z = $rb_times(z, x);\n            n = $rb_minus(n, 1);\n          };\n          return z;\n        } else {\n          return $rb_divide($$($nesting, 'Rational').$new(1, 1), self)['$**'](other['$-@']())\n        }\n      } else if ($truthy(($truthy($a = $$($nesting, 'Float')['$==='](other)) ? $a : $$($nesting, 'Rational')['$==='](other)))) {\n        \n        $b = self.$polar(), $a = Opal.to_ary($b), (r = ($a[0] == null ? nil : $a[0])), (theta = ($a[1] == null ? nil : $a[1])), $b;\n        return $$($nesting, 'Complex').$polar(r['$**'](other), $rb_times(theta, other));\n      } else {\n        return self.$__coerced__(\"**\", other)\n      };\n    }, TMP_Complex_$$_11.$$arity = 1);\n    \n    Opal.def(self, '$abs', TMP_Complex_abs_12 = function $$abs() {\n      var self = this;\n\n      return $$($nesting, 'Math').$hypot(self.real, self.imag)\n    }, TMP_Complex_abs_12.$$arity = 0);\n    \n    Opal.def(self, '$abs2', TMP_Complex_abs2_13 = function $$abs2() {\n      var self = this;\n\n      return $rb_plus($rb_times(self.real, self.real), $rb_times(self.imag, self.imag))\n    }, TMP_Complex_abs2_13.$$arity = 0);\n    \n    Opal.def(self, '$angle', TMP_Complex_angle_14 = function $$angle() {\n      var self = this;\n\n      return $$($nesting, 'Math').$atan2(self.imag, self.real)\n    }, TMP_Complex_angle_14.$$arity = 0);\n    Opal.alias(self, \"arg\", \"angle\");\n    \n    Opal.def(self, '$conj', TMP_Complex_conj_15 = function $$conj() {\n      var self = this;\n\n      return self.$Complex(self.real, self.imag['$-@']())\n    }, TMP_Complex_conj_15.$$arity = 0);\n    Opal.alias(self, \"conjugate\", \"conj\");\n    \n    Opal.def(self, '$denominator', TMP_Complex_denominator_16 = function $$denominator() {\n      var self = this;\n\n      return self.real.$denominator().$lcm(self.imag.$denominator())\n    }, TMP_Complex_denominator_16.$$arity = 0);\n    Opal.alias(self, \"divide\", \"/\");\n    \n    Opal.def(self, '$eql?', TMP_Complex_eql$q_17 = function(other) {\n      var $a, $b, self = this;\n\n      return ($truthy($a = ($truthy($b = $$($nesting, 'Complex')['$==='](other)) ? self.real.$class()['$=='](self.imag.$class()) : $b)) ? self['$=='](other) : $a)\n    }, TMP_Complex_eql$q_17.$$arity = 1);\n    \n    Opal.def(self, '$fdiv', TMP_Complex_fdiv_18 = function $$fdiv(other) {\n      var self = this;\n\n      \n      if ($truthy($$($nesting, 'Numeric')['$==='](other))) {\n      } else {\n        self.$raise($$($nesting, 'TypeError'), \"\" + (other.$class()) + \" can't be coerced into Complex\")\n      };\n      return $rb_divide(self, other);\n    }, TMP_Complex_fdiv_18.$$arity = 1);\n    \n    Opal.def(self, '$finite?', TMP_Complex_finite$q_19 = function() {\n      var $a, self = this;\n\n      return ($truthy($a = self.real['$finite?']()) ? self.imag['$finite?']() : $a)\n    }, TMP_Complex_finite$q_19.$$arity = 0);\n    \n    Opal.def(self, '$hash', TMP_Complex_hash_20 = function $$hash() {\n      var self = this;\n\n      return \"\" + \"Complex:\" + (self.real) + \":\" + (self.imag)\n    }, TMP_Complex_hash_20.$$arity = 0);\n    Opal.alias(self, \"imaginary\", \"imag\");\n    \n    Opal.def(self, '$infinite?', TMP_Complex_infinite$q_21 = function() {\n      var $a, self = this;\n\n      return ($truthy($a = self.real['$infinite?']()) ? $a : self.imag['$infinite?']())\n    }, TMP_Complex_infinite$q_21.$$arity = 0);\n    \n    Opal.def(self, '$inspect', TMP_Complex_inspect_22 = function $$inspect() {\n      var self = this;\n\n      return \"\" + \"(\" + (self) + \")\"\n    }, TMP_Complex_inspect_22.$$arity = 0);\n    Opal.alias(self, \"magnitude\", \"abs\");\n    \n    Opal.udef(self, '$' + \"negative?\");;\n    \n    Opal.def(self, '$numerator', TMP_Complex_numerator_23 = function $$numerator() {\n      var self = this, d = nil;\n\n      \n      d = self.$denominator();\n      return self.$Complex($rb_times(self.real.$numerator(), $rb_divide(d, self.real.$denominator())), $rb_times(self.imag.$numerator(), $rb_divide(d, self.imag.$denominator())));\n    }, TMP_Complex_numerator_23.$$arity = 0);\n    Opal.alias(self, \"phase\", \"arg\");\n    \n    Opal.def(self, '$polar', TMP_Complex_polar_24 = function $$polar() {\n      var self = this;\n\n      return [self.$abs(), self.$arg()]\n    }, TMP_Complex_polar_24.$$arity = 0);\n    \n    Opal.udef(self, '$' + \"positive?\");;\n    Opal.alias(self, \"quo\", \"/\");\n    \n    Opal.def(self, '$rationalize', TMP_Complex_rationalize_25 = function $$rationalize(eps) {\n      var self = this;\n\n      \n      \n      if (arguments.length > 1) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"wrong number of arguments (\" + (arguments.length) + \" for 0..1)\");\n      }\n    ;\n      if ($truthy(self.imag['$!='](0))) {\n        self.$raise($$($nesting, 'RangeError'), \"\" + \"can't' convert \" + (self) + \" into Rational\")};\n      return self.$real().$rationalize(eps);\n    }, TMP_Complex_rationalize_25.$$arity = -1);\n    \n    Opal.def(self, '$real?', TMP_Complex_real$q_26 = function() {\n      var self = this;\n\n      return false\n    }, TMP_Complex_real$q_26.$$arity = 0);\n    \n    Opal.def(self, '$rect', TMP_Complex_rect_27 = function $$rect() {\n      var self = this;\n\n      return [self.real, self.imag]\n    }, TMP_Complex_rect_27.$$arity = 0);\n    Opal.alias(self, \"rectangular\", \"rect\");\n    \n    Opal.def(self, '$to_f', TMP_Complex_to_f_28 = function $$to_f() {\n      var self = this;\n\n      \n      if (self.imag['$=='](0)) {\n      } else {\n        self.$raise($$($nesting, 'RangeError'), \"\" + \"can't convert \" + (self) + \" into Float\")\n      };\n      return self.real.$to_f();\n    }, TMP_Complex_to_f_28.$$arity = 0);\n    \n    Opal.def(self, '$to_i', TMP_Complex_to_i_29 = function $$to_i() {\n      var self = this;\n\n      \n      if (self.imag['$=='](0)) {\n      } else {\n        self.$raise($$($nesting, 'RangeError'), \"\" + \"can't convert \" + (self) + \" into Integer\")\n      };\n      return self.real.$to_i();\n    }, TMP_Complex_to_i_29.$$arity = 0);\n    \n    Opal.def(self, '$to_r', TMP_Complex_to_r_30 = function $$to_r() {\n      var self = this;\n\n      \n      if (self.imag['$=='](0)) {\n      } else {\n        self.$raise($$($nesting, 'RangeError'), \"\" + \"can't convert \" + (self) + \" into Rational\")\n      };\n      return self.real.$to_r();\n    }, TMP_Complex_to_r_30.$$arity = 0);\n    \n    Opal.def(self, '$to_s', TMP_Complex_to_s_31 = function $$to_s() {\n      var $a, $b, $c, self = this, result = nil;\n\n      \n      result = self.real.$inspect();\n      result = $rb_plus(result, (function() {if ($truthy(($truthy($a = ($truthy($b = ($truthy($c = $$($nesting, 'Number')['$==='](self.imag)) ? self.imag['$nan?']() : $c)) ? $b : self.imag['$positive?']())) ? $a : self.imag['$zero?']()))) {\n        return \"+\"\n      } else {\n        return \"-\"\n      }; return nil; })());\n      result = $rb_plus(result, self.imag.$abs().$inspect());\n      if ($truthy(($truthy($a = $$($nesting, 'Number')['$==='](self.imag)) ? ($truthy($b = self.imag['$nan?']()) ? $b : self.imag['$infinite?']()) : $a))) {\n        result = $rb_plus(result, \"*\")};\n      return $rb_plus(result, \"i\");\n    }, TMP_Complex_to_s_31.$$arity = 0);\n    return Opal.const_set($nesting[0], 'I', self.$new(0, 1));\n  })($nesting[0], $$($nesting, 'Numeric'), $nesting);\n  return (function($base, $parent_nesting) {\n    var $Kernel, self = $Kernel = $module($base, 'Kernel');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Kernel_Complex_32;\n\n    \n    Opal.def(self, '$Complex', TMP_Kernel_Complex_32 = function $$Complex(real, imag) {\n      var self = this;\n\n      if (imag == null) {\n        imag = nil;\n      }\n      if ($truthy(imag)) {\n        return $$($nesting, 'Complex').$new(real, imag)\n      } else {\n        return $$($nesting, 'Complex').$new(real, 0)\n      }\n    }, TMP_Kernel_Complex_32.$$arity = -2)\n  })($nesting[0], $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/rational\"] = function(Opal) {\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  function $rb_divide(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs / rhs : lhs['$/'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_le(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs <= rhs : lhs['$<='](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy, $module = Opal.module;\n\n  Opal.add_stubs(['$require', '$to_i', '$==', '$raise', '$<', '$-@', '$new', '$gcd', '$/', '$nil?', '$===', '$reduce', '$to_r', '$equal?', '$!', '$coerce_to!', '$to_f', '$numerator', '$denominator', '$<=>', '$-', '$*', '$__coerced__', '$+', '$Rational', '$>', '$**', '$abs', '$ceil', '$with_precision', '$floor', '$<=', '$truncate', '$send', '$convert']);\n  \n  self.$require(\"corelib/numeric\");\n  (function($base, $super, $parent_nesting) {\n    function $Rational(){};\n    var self = $Rational = $klass($base, $super, 'Rational', $Rational);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Rational_reduce_1, TMP_Rational_convert_2, TMP_Rational_initialize_3, TMP_Rational_numerator_4, TMP_Rational_denominator_5, TMP_Rational_coerce_6, TMP_Rational_$eq$eq_7, TMP_Rational_$lt$eq$gt_8, TMP_Rational_$_9, TMP_Rational_$_10, TMP_Rational_$_11, TMP_Rational_$_12, TMP_Rational_$$_13, TMP_Rational_abs_14, TMP_Rational_ceil_15, TMP_Rational_floor_16, TMP_Rational_hash_17, TMP_Rational_inspect_18, TMP_Rational_rationalize_19, TMP_Rational_round_20, TMP_Rational_to_f_21, TMP_Rational_to_i_22, TMP_Rational_to_r_23, TMP_Rational_to_s_24, TMP_Rational_truncate_25, TMP_Rational_with_precision_26;\n\n    def.num = def.den = nil;\n    \n    Opal.defs(self, '$reduce', TMP_Rational_reduce_1 = function $$reduce(num, den) {\n      var self = this, gcd = nil;\n\n      \n      num = num.$to_i();\n      den = den.$to_i();\n      if (den['$=='](0)) {\n        self.$raise($$($nesting, 'ZeroDivisionError'), \"divided by 0\")\n      } else if ($truthy($rb_lt(den, 0))) {\n        \n        num = num['$-@']();\n        den = den['$-@']();\n      } else if (den['$=='](1)) {\n        return self.$new(num, den)};\n      gcd = num.$gcd(den);\n      return self.$new($rb_divide(num, gcd), $rb_divide(den, gcd));\n    }, TMP_Rational_reduce_1.$$arity = 2);\n    Opal.defs(self, '$convert', TMP_Rational_convert_2 = function $$convert(num, den) {\n      var $a, $b, self = this;\n\n      \n      if ($truthy(($truthy($a = num['$nil?']()) ? $a : den['$nil?']()))) {\n        self.$raise($$($nesting, 'TypeError'), \"cannot convert nil into Rational\")};\n      if ($truthy(($truthy($a = $$($nesting, 'Integer')['$==='](num)) ? $$($nesting, 'Integer')['$==='](den) : $a))) {\n        return self.$reduce(num, den)};\n      if ($truthy(($truthy($a = ($truthy($b = $$($nesting, 'Float')['$==='](num)) ? $b : $$($nesting, 'String')['$==='](num))) ? $a : $$($nesting, 'Complex')['$==='](num)))) {\n        num = num.$to_r()};\n      if ($truthy(($truthy($a = ($truthy($b = $$($nesting, 'Float')['$==='](den)) ? $b : $$($nesting, 'String')['$==='](den))) ? $a : $$($nesting, 'Complex')['$==='](den)))) {\n        den = den.$to_r()};\n      if ($truthy(($truthy($a = den['$equal?'](1)) ? $$($nesting, 'Integer')['$==='](num)['$!']() : $a))) {\n        return $$($nesting, 'Opal')['$coerce_to!'](num, $$($nesting, 'Rational'), \"to_r\")\n      } else if ($truthy(($truthy($a = $$($nesting, 'Numeric')['$==='](num)) ? $$($nesting, 'Numeric')['$==='](den) : $a))) {\n        return $rb_divide(num, den)\n      } else {\n        return self.$reduce(num, den)\n      };\n    }, TMP_Rational_convert_2.$$arity = 2);\n    \n    Opal.def(self, '$initialize', TMP_Rational_initialize_3 = function $$initialize(num, den) {\n      var self = this;\n\n      \n      self.num = num;\n      return (self.den = den);\n    }, TMP_Rational_initialize_3.$$arity = 2);\n    \n    Opal.def(self, '$numerator', TMP_Rational_numerator_4 = function $$numerator() {\n      var self = this;\n\n      return self.num\n    }, TMP_Rational_numerator_4.$$arity = 0);\n    \n    Opal.def(self, '$denominator', TMP_Rational_denominator_5 = function $$denominator() {\n      var self = this;\n\n      return self.den\n    }, TMP_Rational_denominator_5.$$arity = 0);\n    \n    Opal.def(self, '$coerce', TMP_Rational_coerce_6 = function $$coerce(other) {\n      var self = this, $case = nil;\n\n      return (function() {$case = other;\n      if ($$($nesting, 'Rational')['$===']($case)) {return [other, self]}\n      else if ($$($nesting, 'Integer')['$===']($case)) {return [other.$to_r(), self]}\n      else if ($$($nesting, 'Float')['$===']($case)) {return [other, self.$to_f()]}\n      else { return nil }})()\n    }, TMP_Rational_coerce_6.$$arity = 1);\n    \n    Opal.def(self, '$==', TMP_Rational_$eq$eq_7 = function(other) {\n      var $a, self = this, $case = nil;\n\n      return (function() {$case = other;\n      if ($$($nesting, 'Rational')['$===']($case)) {return (($a = self.num['$=='](other.$numerator())) ? self.den['$=='](other.$denominator()) : self.num['$=='](other.$numerator()))}\n      else if ($$($nesting, 'Integer')['$===']($case)) {return (($a = self.num['$=='](other)) ? self.den['$=='](1) : self.num['$=='](other))}\n      else if ($$($nesting, 'Float')['$===']($case)) {return self.$to_f()['$=='](other)}\n      else {return other['$=='](self)}})()\n    }, TMP_Rational_$eq$eq_7.$$arity = 1);\n    \n    Opal.def(self, '$<=>', TMP_Rational_$lt$eq$gt_8 = function(other) {\n      var self = this, $case = nil;\n\n      return (function() {$case = other;\n      if ($$($nesting, 'Rational')['$===']($case)) {return $rb_minus($rb_times(self.num, other.$denominator()), $rb_times(self.den, other.$numerator()))['$<=>'](0)}\n      else if ($$($nesting, 'Integer')['$===']($case)) {return $rb_minus(self.num, $rb_times(self.den, other))['$<=>'](0)}\n      else if ($$($nesting, 'Float')['$===']($case)) {return self.$to_f()['$<=>'](other)}\n      else {return self.$__coerced__(\"<=>\", other)}})()\n    }, TMP_Rational_$lt$eq$gt_8.$$arity = 1);\n    \n    Opal.def(self, '$+', TMP_Rational_$_9 = function(other) {\n      var self = this, $case = nil, num = nil, den = nil;\n\n      return (function() {$case = other;\n      if ($$($nesting, 'Rational')['$===']($case)) {\n      num = $rb_plus($rb_times(self.num, other.$denominator()), $rb_times(self.den, other.$numerator()));\n      den = $rb_times(self.den, other.$denominator());\n      return self.$Rational(num, den);}\n      else if ($$($nesting, 'Integer')['$===']($case)) {return self.$Rational($rb_plus(self.num, $rb_times(other, self.den)), self.den)}\n      else if ($$($nesting, 'Float')['$===']($case)) {return $rb_plus(self.$to_f(), other)}\n      else {return self.$__coerced__(\"+\", other)}})()\n    }, TMP_Rational_$_9.$$arity = 1);\n    \n    Opal.def(self, '$-', TMP_Rational_$_10 = function(other) {\n      var self = this, $case = nil, num = nil, den = nil;\n\n      return (function() {$case = other;\n      if ($$($nesting, 'Rational')['$===']($case)) {\n      num = $rb_minus($rb_times(self.num, other.$denominator()), $rb_times(self.den, other.$numerator()));\n      den = $rb_times(self.den, other.$denominator());\n      return self.$Rational(num, den);}\n      else if ($$($nesting, 'Integer')['$===']($case)) {return self.$Rational($rb_minus(self.num, $rb_times(other, self.den)), self.den)}\n      else if ($$($nesting, 'Float')['$===']($case)) {return $rb_minus(self.$to_f(), other)}\n      else {return self.$__coerced__(\"-\", other)}})()\n    }, TMP_Rational_$_10.$$arity = 1);\n    \n    Opal.def(self, '$*', TMP_Rational_$_11 = function(other) {\n      var self = this, $case = nil, num = nil, den = nil;\n\n      return (function() {$case = other;\n      if ($$($nesting, 'Rational')['$===']($case)) {\n      num = $rb_times(self.num, other.$numerator());\n      den = $rb_times(self.den, other.$denominator());\n      return self.$Rational(num, den);}\n      else if ($$($nesting, 'Integer')['$===']($case)) {return self.$Rational($rb_times(self.num, other), self.den)}\n      else if ($$($nesting, 'Float')['$===']($case)) {return $rb_times(self.$to_f(), other)}\n      else {return self.$__coerced__(\"*\", other)}})()\n    }, TMP_Rational_$_11.$$arity = 1);\n    \n    Opal.def(self, '$/', TMP_Rational_$_12 = function(other) {\n      var self = this, $case = nil, num = nil, den = nil;\n\n      return (function() {$case = other;\n      if ($$($nesting, 'Rational')['$===']($case)) {\n      num = $rb_times(self.num, other.$denominator());\n      den = $rb_times(self.den, other.$numerator());\n      return self.$Rational(num, den);}\n      else if ($$($nesting, 'Integer')['$===']($case)) {if (other['$=='](0)) {\n        return $rb_divide(self.$to_f(), 0.0)\n      } else {\n        return self.$Rational(self.num, $rb_times(self.den, other))\n      }}\n      else if ($$($nesting, 'Float')['$===']($case)) {return $rb_divide(self.$to_f(), other)}\n      else {return self.$__coerced__(\"/\", other)}})()\n    }, TMP_Rational_$_12.$$arity = 1);\n    \n    Opal.def(self, '$**', TMP_Rational_$$_13 = function(other) {\n      var $a, self = this, $case = nil;\n\n      return (function() {$case = other;\n      if ($$($nesting, 'Integer')['$===']($case)) {if ($truthy((($a = self['$=='](0)) ? $rb_lt(other, 0) : self['$=='](0)))) {\n        return $$$($$($nesting, 'Float'), 'INFINITY')\n      } else if ($truthy($rb_gt(other, 0))) {\n        return self.$Rational(self.num['$**'](other), self.den['$**'](other))\n      } else if ($truthy($rb_lt(other, 0))) {\n        return self.$Rational(self.den['$**'](other['$-@']()), self.num['$**'](other['$-@']()))\n      } else {\n        return self.$Rational(1, 1)\n      }}\n      else if ($$($nesting, 'Float')['$===']($case)) {return self.$to_f()['$**'](other)}\n      else if ($$($nesting, 'Rational')['$===']($case)) {if (other['$=='](0)) {\n        return self.$Rational(1, 1)\n      } else if (other.$denominator()['$=='](1)) {\n        if ($truthy($rb_lt(other, 0))) {\n          return self.$Rational(self.den['$**'](other.$numerator().$abs()), self.num['$**'](other.$numerator().$abs()))\n        } else {\n          return self.$Rational(self.num['$**'](other.$numerator()), self.den['$**'](other.$numerator()))\n        }\n      } else if ($truthy((($a = self['$=='](0)) ? $rb_lt(other, 0) : self['$=='](0)))) {\n        return self.$raise($$($nesting, 'ZeroDivisionError'), \"divided by 0\")\n      } else {\n        return self.$to_f()['$**'](other)\n      }}\n      else {return self.$__coerced__(\"**\", other)}})()\n    }, TMP_Rational_$$_13.$$arity = 1);\n    \n    Opal.def(self, '$abs', TMP_Rational_abs_14 = function $$abs() {\n      var self = this;\n\n      return self.$Rational(self.num.$abs(), self.den.$abs())\n    }, TMP_Rational_abs_14.$$arity = 0);\n    \n    Opal.def(self, '$ceil', TMP_Rational_ceil_15 = function $$ceil(precision) {\n      var self = this;\n\n      if (precision == null) {\n        precision = 0;\n      }\n      if (precision['$=='](0)) {\n        return $rb_divide(self.num['$-@'](), self.den)['$-@']().$ceil()\n      } else {\n        return self.$with_precision(\"ceil\", precision)\n      }\n    }, TMP_Rational_ceil_15.$$arity = -1);\n    Opal.alias(self, \"divide\", \"/\");\n    \n    Opal.def(self, '$floor', TMP_Rational_floor_16 = function $$floor(precision) {\n      var self = this;\n\n      if (precision == null) {\n        precision = 0;\n      }\n      if (precision['$=='](0)) {\n        return $rb_divide(self.num['$-@'](), self.den)['$-@']().$floor()\n      } else {\n        return self.$with_precision(\"floor\", precision)\n      }\n    }, TMP_Rational_floor_16.$$arity = -1);\n    \n    Opal.def(self, '$hash', TMP_Rational_hash_17 = function $$hash() {\n      var self = this;\n\n      return \"\" + \"Rational:\" + (self.num) + \":\" + (self.den)\n    }, TMP_Rational_hash_17.$$arity = 0);\n    \n    Opal.def(self, '$inspect', TMP_Rational_inspect_18 = function $$inspect() {\n      var self = this;\n\n      return \"\" + \"(\" + (self) + \")\"\n    }, TMP_Rational_inspect_18.$$arity = 0);\n    Opal.alias(self, \"quo\", \"/\");\n    \n    Opal.def(self, '$rationalize', TMP_Rational_rationalize_19 = function $$rationalize(eps) {\n      var self = this;\n\n      \n      if (arguments.length > 1) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"wrong number of arguments (\" + (arguments.length) + \" for 0..1)\");\n      }\n\n      if (eps == null) {\n        return self;\n      }\n\n      var e = eps.$abs(),\n          a = $rb_minus(self, e),\n          b = $rb_plus(self, e);\n\n      var p0 = 0,\n          p1 = 1,\n          q0 = 1,\n          q1 = 0,\n          p2, q2;\n\n      var c, k, t;\n\n      while (true) {\n        c = (a).$ceil();\n\n        if ($rb_le(c, b)) {\n          break;\n        }\n\n        k  = c - 1;\n        p2 = k * p1 + p0;\n        q2 = k * q1 + q0;\n        t  = $rb_divide(1, $rb_minus(b, k));\n        b  = $rb_divide(1, $rb_minus(a, k));\n        a  = t;\n\n        p0 = p1;\n        q0 = q1;\n        p1 = p2;\n        q1 = q2;\n      }\n\n      return self.$Rational(c * p1 + p0, c * q1 + q0);\n    \n    }, TMP_Rational_rationalize_19.$$arity = -1);\n    \n    Opal.def(self, '$round', TMP_Rational_round_20 = function $$round(precision) {\n      var self = this, num = nil, den = nil, approx = nil;\n\n      if (precision == null) {\n        precision = 0;\n      }\n      \n      if (precision['$=='](0)) {\n      } else {\n        return self.$with_precision(\"round\", precision)\n      };\n      if (self.num['$=='](0)) {\n        return 0};\n      if (self.den['$=='](1)) {\n        return self.num};\n      num = $rb_plus($rb_times(self.num.$abs(), 2), self.den);\n      den = $rb_times(self.den, 2);\n      approx = $rb_divide(num, den).$truncate();\n      if ($truthy($rb_lt(self.num, 0))) {\n        return approx['$-@']()\n      } else {\n        return approx\n      };\n    }, TMP_Rational_round_20.$$arity = -1);\n    \n    Opal.def(self, '$to_f', TMP_Rational_to_f_21 = function $$to_f() {\n      var self = this;\n\n      return $rb_divide(self.num, self.den)\n    }, TMP_Rational_to_f_21.$$arity = 0);\n    \n    Opal.def(self, '$to_i', TMP_Rational_to_i_22 = function $$to_i() {\n      var self = this;\n\n      return self.$truncate()\n    }, TMP_Rational_to_i_22.$$arity = 0);\n    \n    Opal.def(self, '$to_r', TMP_Rational_to_r_23 = function $$to_r() {\n      var self = this;\n\n      return self\n    }, TMP_Rational_to_r_23.$$arity = 0);\n    \n    Opal.def(self, '$to_s', TMP_Rational_to_s_24 = function $$to_s() {\n      var self = this;\n\n      return \"\" + (self.num) + \"/\" + (self.den)\n    }, TMP_Rational_to_s_24.$$arity = 0);\n    \n    Opal.def(self, '$truncate', TMP_Rational_truncate_25 = function $$truncate(precision) {\n      var self = this;\n\n      if (precision == null) {\n        precision = 0;\n      }\n      if (precision['$=='](0)) {\n        if ($truthy($rb_lt(self.num, 0))) {\n          return self.$ceil()\n        } else {\n          return self.$floor()\n        }\n      } else {\n        return self.$with_precision(\"truncate\", precision)\n      }\n    }, TMP_Rational_truncate_25.$$arity = -1);\n    return (Opal.def(self, '$with_precision', TMP_Rational_with_precision_26 = function $$with_precision(method, precision) {\n      var self = this, p = nil, s = nil;\n\n      \n      if ($truthy($$($nesting, 'Integer')['$==='](precision))) {\n      } else {\n        self.$raise($$($nesting, 'TypeError'), \"not an Integer\")\n      };\n      p = (10)['$**'](precision);\n      s = $rb_times(self, p);\n      if ($truthy($rb_lt(precision, 1))) {\n        return $rb_divide(s.$send(method), p).$to_i()\n      } else {\n        return self.$Rational(s.$send(method), p)\n      };\n    }, TMP_Rational_with_precision_26.$$arity = 2), nil) && 'with_precision';\n  })($nesting[0], $$($nesting, 'Numeric'), $nesting);\n  return (function($base, $parent_nesting) {\n    var $Kernel, self = $Kernel = $module($base, 'Kernel');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Kernel_Rational_27;\n\n    \n    Opal.def(self, '$Rational', TMP_Kernel_Rational_27 = function $$Rational(numerator, denominator) {\n      var self = this;\n\n      if (denominator == null) {\n        denominator = 1;\n      }\n      return $$($nesting, 'Rational').$convert(numerator, denominator)\n    }, TMP_Kernel_Rational_27.$$arity = -2)\n  })($nesting[0], $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/time\"] = function(Opal) {\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_divide(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs / rhs : lhs['$/'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_le(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs <= rhs : lhs['$<='](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy, $range = Opal.range;\n\n  Opal.add_stubs(['$require', '$include', '$===', '$raise', '$coerce_to!', '$respond_to?', '$to_str', '$to_i', '$new', '$<=>', '$to_f', '$nil?', '$>', '$<', '$strftime', '$year', '$month', '$day', '$+', '$round', '$/', '$-', '$copy_instance_variables', '$initialize_dup', '$is_a?', '$zero?', '$wday', '$utc?', '$mon', '$yday', '$hour', '$min', '$sec', '$rjust', '$ljust', '$zone', '$to_s', '$[]', '$cweek_cyear', '$isdst', '$<=', '$!=', '$==', '$ceil']);\n  \n  self.$require(\"corelib/comparable\");\n  return (function($base, $super, $parent_nesting) {\n    function $Time(){};\n    var self = $Time = $klass($base, $super, 'Time', $Time);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Time_at_1, TMP_Time_new_2, TMP_Time_local_3, TMP_Time_gm_4, TMP_Time_now_5, TMP_Time_$_6, TMP_Time_$_7, TMP_Time_$lt$eq$gt_8, TMP_Time_$eq$eq_9, TMP_Time_asctime_10, TMP_Time_day_11, TMP_Time_yday_12, TMP_Time_isdst_13, TMP_Time_dup_14, TMP_Time_eql$q_15, TMP_Time_friday$q_16, TMP_Time_hash_17, TMP_Time_hour_18, TMP_Time_inspect_19, TMP_Time_min_20, TMP_Time_mon_21, TMP_Time_monday$q_22, TMP_Time_saturday$q_23, TMP_Time_sec_24, TMP_Time_succ_25, TMP_Time_usec_26, TMP_Time_zone_27, TMP_Time_getgm_28, TMP_Time_gmtime_29, TMP_Time_gmt$q_30, TMP_Time_gmt_offset_31, TMP_Time_strftime_32, TMP_Time_sunday$q_33, TMP_Time_thursday$q_34, TMP_Time_to_a_35, TMP_Time_to_f_36, TMP_Time_to_i_37, TMP_Time_tuesday$q_38, TMP_Time_wday_39, TMP_Time_wednesday$q_40, TMP_Time_year_41, TMP_Time_cweek_cyear_42;\n\n    \n    self.$include($$($nesting, 'Comparable'));\n    \n    var days_of_week = [\"Sunday\", \"Monday\", \"Tuesday\", \"Wednesday\", \"Thursday\", \"Friday\", \"Saturday\", \"Sunday\"],\n        short_days   = [\"Sun\", \"Mon\", \"Tue\", \"Wed\", \"Thu\", \"Fri\", \"Sat\"],\n        short_months = [\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\", \"Sep\", \"Oct\", \"Nov\", \"Dec\"],\n        long_months  = [\"January\", \"February\", \"March\", \"April\", \"May\", \"June\", \"July\", \"August\", \"September\", \"October\", \"November\", \"December\"];\n  ;\n    Opal.defs(self, '$at', TMP_Time_at_1 = function $$at(seconds, frac) {\n      var self = this;\n\n      \n      var result;\n\n      if ($$($nesting, 'Time')['$==='](seconds)) {\n        if (frac !== undefined) {\n          self.$raise($$($nesting, 'TypeError'), \"can't convert Time into an exact number\")\n        }\n        result = new Date(seconds.getTime());\n        result.is_utc = seconds.is_utc;\n        return result;\n      }\n\n      if (!seconds.$$is_number) {\n        seconds = $$($nesting, 'Opal')['$coerce_to!'](seconds, $$($nesting, 'Integer'), \"to_int\");\n      }\n\n      if (frac === undefined) {\n        return new Date(seconds * 1000);\n      }\n\n      if (!frac.$$is_number) {\n        frac = $$($nesting, 'Opal')['$coerce_to!'](frac, $$($nesting, 'Integer'), \"to_int\");\n      }\n\n      return new Date(seconds * 1000 + (frac / 1000));\n    \n    }, TMP_Time_at_1.$$arity = -2);\n    \n    function time_params(year, month, day, hour, min, sec) {\n      if (year.$$is_string) {\n        year = parseInt(year, 10);\n      } else {\n        year = $$($nesting, 'Opal')['$coerce_to!'](year, $$($nesting, 'Integer'), \"to_int\");\n      }\n\n      if (month === nil) {\n        month = 1;\n      } else if (!month.$$is_number) {\n        if ((month)['$respond_to?'](\"to_str\")) {\n          month = (month).$to_str();\n          switch (month.toLowerCase()) {\n          case 'jan': month =  1; break;\n          case 'feb': month =  2; break;\n          case 'mar': month =  3; break;\n          case 'apr': month =  4; break;\n          case 'may': month =  5; break;\n          case 'jun': month =  6; break;\n          case 'jul': month =  7; break;\n          case 'aug': month =  8; break;\n          case 'sep': month =  9; break;\n          case 'oct': month = 10; break;\n          case 'nov': month = 11; break;\n          case 'dec': month = 12; break;\n          default: month = (month).$to_i();\n          }\n        } else {\n          month = $$($nesting, 'Opal')['$coerce_to!'](month, $$($nesting, 'Integer'), \"to_int\");\n        }\n      }\n\n      if (month < 1 || month > 12) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"month out of range: \" + (month))\n      }\n      month = month - 1;\n\n      if (day === nil) {\n        day = 1;\n      } else if (day.$$is_string) {\n        day = parseInt(day, 10);\n      } else {\n        day = $$($nesting, 'Opal')['$coerce_to!'](day, $$($nesting, 'Integer'), \"to_int\");\n      }\n\n      if (day < 1 || day > 31) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"day out of range: \" + (day))\n      }\n\n      if (hour === nil) {\n        hour = 0;\n      } else if (hour.$$is_string) {\n        hour = parseInt(hour, 10);\n      } else {\n        hour = $$($nesting, 'Opal')['$coerce_to!'](hour, $$($nesting, 'Integer'), \"to_int\");\n      }\n\n      if (hour < 0 || hour > 24) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"hour out of range: \" + (hour))\n      }\n\n      if (min === nil) {\n        min = 0;\n      } else if (min.$$is_string) {\n        min = parseInt(min, 10);\n      } else {\n        min = $$($nesting, 'Opal')['$coerce_to!'](min, $$($nesting, 'Integer'), \"to_int\");\n      }\n\n      if (min < 0 || min > 59) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"min out of range: \" + (min))\n      }\n\n      if (sec === nil) {\n        sec = 0;\n      } else if (!sec.$$is_number) {\n        if (sec.$$is_string) {\n          sec = parseInt(sec, 10);\n        } else {\n          sec = $$($nesting, 'Opal')['$coerce_to!'](sec, $$($nesting, 'Integer'), \"to_int\");\n        }\n      }\n\n      if (sec < 0 || sec > 60) {\n        self.$raise($$($nesting, 'ArgumentError'), \"\" + \"sec out of range: \" + (sec))\n      }\n\n      return [year, month, day, hour, min, sec];\n    }\n  ;\n    Opal.defs(self, '$new', TMP_Time_new_2 = function(year, month, day, hour, min, sec, utc_offset) {\n      var self = this;\n\n      if (month == null) {\n        month = nil;\n      }\n      if (day == null) {\n        day = nil;\n      }\n      if (hour == null) {\n        hour = nil;\n      }\n      if (min == null) {\n        min = nil;\n      }\n      if (sec == null) {\n        sec = nil;\n      }\n      if (utc_offset == null) {\n        utc_offset = nil;\n      }\n      \n      var args, result;\n\n      if (year === undefined) {\n        return new Date();\n      }\n\n      if (utc_offset !== nil) {\n        self.$raise($$($nesting, 'ArgumentError'), \"Opal does not support explicitly specifying UTC offset for Time\")\n      }\n\n      args  = time_params(year, month, day, hour, min, sec);\n      year  = args[0];\n      month = args[1];\n      day   = args[2];\n      hour  = args[3];\n      min   = args[4];\n      sec   = args[5];\n\n      result = new Date(year, month, day, hour, min, 0, sec * 1000);\n      if (year < 100) {\n        result.setFullYear(year);\n      }\n      return result;\n    \n    }, TMP_Time_new_2.$$arity = -1);\n    Opal.defs(self, '$local', TMP_Time_local_3 = function $$local(year, month, day, hour, min, sec, millisecond, _dummy1, _dummy2, _dummy3) {\n      var self = this;\n\n      if (month == null) {\n        month = nil;\n      }\n      if (day == null) {\n        day = nil;\n      }\n      if (hour == null) {\n        hour = nil;\n      }\n      if (min == null) {\n        min = nil;\n      }\n      if (sec == null) {\n        sec = nil;\n      }\n      if (millisecond == null) {\n        millisecond = nil;\n      }\n      if (_dummy1 == null) {\n        _dummy1 = nil;\n      }\n      if (_dummy2 == null) {\n        _dummy2 = nil;\n      }\n      if (_dummy3 == null) {\n        _dummy3 = nil;\n      }\n      \n      var args, result;\n\n      if (arguments.length === 10) {\n        args  = $slice.call(arguments);\n        year  = args[5];\n        month = args[4];\n        day   = args[3];\n        hour  = args[2];\n        min   = args[1];\n        sec   = args[0];\n      }\n\n      args  = time_params(year, month, day, hour, min, sec);\n      year  = args[0];\n      month = args[1];\n      day   = args[2];\n      hour  = args[3];\n      min   = args[4];\n      sec   = args[5];\n\n      result = new Date(year, month, day, hour, min, 0, sec * 1000);\n      if (year < 100) {\n        result.setFullYear(year);\n      }\n      return result;\n    \n    }, TMP_Time_local_3.$$arity = -2);\n    Opal.defs(self, '$gm', TMP_Time_gm_4 = function $$gm(year, month, day, hour, min, sec, millisecond, _dummy1, _dummy2, _dummy3) {\n      var self = this;\n\n      if (month == null) {\n        month = nil;\n      }\n      if (day == null) {\n        day = nil;\n      }\n      if (hour == null) {\n        hour = nil;\n      }\n      if (min == null) {\n        min = nil;\n      }\n      if (sec == null) {\n        sec = nil;\n      }\n      if (millisecond == null) {\n        millisecond = nil;\n      }\n      if (_dummy1 == null) {\n        _dummy1 = nil;\n      }\n      if (_dummy2 == null) {\n        _dummy2 = nil;\n      }\n      if (_dummy3 == null) {\n        _dummy3 = nil;\n      }\n      \n      var args, result;\n\n      if (arguments.length === 10) {\n        args  = $slice.call(arguments);\n        year  = args[5];\n        month = args[4];\n        day   = args[3];\n        hour  = args[2];\n        min   = args[1];\n        sec   = args[0];\n      }\n\n      args  = time_params(year, month, day, hour, min, sec);\n      year  = args[0];\n      month = args[1];\n      day   = args[2];\n      hour  = args[3];\n      min   = args[4];\n      sec   = args[5];\n\n      result = new Date(Date.UTC(year, month, day, hour, min, 0, sec * 1000));\n      if (year < 100) {\n        result.setUTCFullYear(year);\n      }\n      result.is_utc = true;\n      return result;\n    \n    }, TMP_Time_gm_4.$$arity = -2);\n    (function(self, $parent_nesting) {\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n      \n      Opal.alias(self, \"mktime\", \"local\");\n      return Opal.alias(self, \"utc\", \"gm\");\n    })(Opal.get_singleton_class(self), $nesting);\n    Opal.defs(self, '$now', TMP_Time_now_5 = function $$now() {\n      var self = this;\n\n      return self.$new()\n    }, TMP_Time_now_5.$$arity = 0);\n    \n    Opal.def(self, '$+', TMP_Time_$_6 = function(other) {\n      var self = this;\n\n      \n      if ($truthy($$($nesting, 'Time')['$==='](other))) {\n        self.$raise($$($nesting, 'TypeError'), \"time + time?\")};\n      \n      if (!other.$$is_number) {\n        other = $$($nesting, 'Opal')['$coerce_to!'](other, $$($nesting, 'Integer'), \"to_int\");\n      }\n      var result = new Date(self.getTime() + (other * 1000));\n      result.is_utc = self.is_utc;\n      return result;\n    ;\n    }, TMP_Time_$_6.$$arity = 1);\n    \n    Opal.def(self, '$-', TMP_Time_$_7 = function(other) {\n      var self = this;\n\n      \n      if ($truthy($$($nesting, 'Time')['$==='](other))) {\n        return (self.getTime() - other.getTime()) / 1000};\n      \n      if (!other.$$is_number) {\n        other = $$($nesting, 'Opal')['$coerce_to!'](other, $$($nesting, 'Integer'), \"to_int\");\n      }\n      var result = new Date(self.getTime() - (other * 1000));\n      result.is_utc = self.is_utc;\n      return result;\n    ;\n    }, TMP_Time_$_7.$$arity = 1);\n    \n    Opal.def(self, '$<=>', TMP_Time_$lt$eq$gt_8 = function(other) {\n      var self = this, r = nil;\n\n      if ($truthy($$($nesting, 'Time')['$==='](other))) {\n        return self.$to_f()['$<=>'](other.$to_f())\n      } else {\n        \n        r = other['$<=>'](self);\n        if ($truthy(r['$nil?']())) {\n          return nil\n        } else if ($truthy($rb_gt(r, 0))) {\n          return -1\n        } else if ($truthy($rb_lt(r, 0))) {\n          return 1\n        } else {\n          return 0\n        };\n      }\n    }, TMP_Time_$lt$eq$gt_8.$$arity = 1);\n    \n    Opal.def(self, '$==', TMP_Time_$eq$eq_9 = function(other) {\n      var $a, self = this;\n\n      return ($truthy($a = $$($nesting, 'Time')['$==='](other)) ? self.$to_f() === other.$to_f() : $a)\n    }, TMP_Time_$eq$eq_9.$$arity = 1);\n    \n    Opal.def(self, '$asctime', TMP_Time_asctime_10 = function $$asctime() {\n      var self = this;\n\n      return self.$strftime(\"%a %b %e %H:%M:%S %Y\")\n    }, TMP_Time_asctime_10.$$arity = 0);\n    Opal.alias(self, \"ctime\", \"asctime\");\n    \n    Opal.def(self, '$day', TMP_Time_day_11 = function $$day() {\n      var self = this;\n\n      return self.is_utc ? self.getUTCDate() : self.getDate();\n    }, TMP_Time_day_11.$$arity = 0);\n    \n    Opal.def(self, '$yday', TMP_Time_yday_12 = function $$yday() {\n      var self = this, start_of_year = nil, start_of_day = nil, one_day = nil;\n\n      \n      start_of_year = $$($nesting, 'Time').$new(self.$year()).$to_i();\n      start_of_day = $$($nesting, 'Time').$new(self.$year(), self.$month(), self.$day()).$to_i();\n      one_day = 86400;\n      return $rb_plus($rb_divide($rb_minus(start_of_day, start_of_year), one_day).$round(), 1);\n    }, TMP_Time_yday_12.$$arity = 0);\n    \n    Opal.def(self, '$isdst', TMP_Time_isdst_13 = function $$isdst() {\n      var self = this;\n\n      \n      var jan = new Date(self.getFullYear(), 0, 1),\n          jul = new Date(self.getFullYear(), 6, 1);\n      return self.getTimezoneOffset() < Math.max(jan.getTimezoneOffset(), jul.getTimezoneOffset());\n    \n    }, TMP_Time_isdst_13.$$arity = 0);\n    Opal.alias(self, \"dst?\", \"isdst\");\n    \n    Opal.def(self, '$dup', TMP_Time_dup_14 = function $$dup() {\n      var self = this, copy = nil;\n\n      \n      copy = new Date(self.getTime());\n      copy.$copy_instance_variables(self);\n      copy.$initialize_dup(self);\n      return copy;\n    }, TMP_Time_dup_14.$$arity = 0);\n    \n    Opal.def(self, '$eql?', TMP_Time_eql$q_15 = function(other) {\n      var $a, self = this;\n\n      return ($truthy($a = other['$is_a?']($$($nesting, 'Time'))) ? self['$<=>'](other)['$zero?']() : $a)\n    }, TMP_Time_eql$q_15.$$arity = 1);\n    \n    Opal.def(self, '$friday?', TMP_Time_friday$q_16 = function() {\n      var self = this;\n\n      return self.$wday() == 5\n    }, TMP_Time_friday$q_16.$$arity = 0);\n    \n    Opal.def(self, '$hash', TMP_Time_hash_17 = function $$hash() {\n      var self = this;\n\n      return 'Time:' + self.getTime();\n    }, TMP_Time_hash_17.$$arity = 0);\n    \n    Opal.def(self, '$hour', TMP_Time_hour_18 = function $$hour() {\n      var self = this;\n\n      return self.is_utc ? self.getUTCHours() : self.getHours();\n    }, TMP_Time_hour_18.$$arity = 0);\n    \n    Opal.def(self, '$inspect', TMP_Time_inspect_19 = function $$inspect() {\n      var self = this;\n\n      if ($truthy(self['$utc?']())) {\n        return self.$strftime(\"%Y-%m-%d %H:%M:%S UTC\")\n      } else {\n        return self.$strftime(\"%Y-%m-%d %H:%M:%S %z\")\n      }\n    }, TMP_Time_inspect_19.$$arity = 0);\n    Opal.alias(self, \"mday\", \"day\");\n    \n    Opal.def(self, '$min', TMP_Time_min_20 = function $$min() {\n      var self = this;\n\n      return self.is_utc ? self.getUTCMinutes() : self.getMinutes();\n    }, TMP_Time_min_20.$$arity = 0);\n    \n    Opal.def(self, '$mon', TMP_Time_mon_21 = function $$mon() {\n      var self = this;\n\n      return (self.is_utc ? self.getUTCMonth() : self.getMonth()) + 1;\n    }, TMP_Time_mon_21.$$arity = 0);\n    \n    Opal.def(self, '$monday?', TMP_Time_monday$q_22 = function() {\n      var self = this;\n\n      return self.$wday() == 1\n    }, TMP_Time_monday$q_22.$$arity = 0);\n    Opal.alias(self, \"month\", \"mon\");\n    \n    Opal.def(self, '$saturday?', TMP_Time_saturday$q_23 = function() {\n      var self = this;\n\n      return self.$wday() == 6\n    }, TMP_Time_saturday$q_23.$$arity = 0);\n    \n    Opal.def(self, '$sec', TMP_Time_sec_24 = function $$sec() {\n      var self = this;\n\n      return self.is_utc ? self.getUTCSeconds() : self.getSeconds();\n    }, TMP_Time_sec_24.$$arity = 0);\n    \n    Opal.def(self, '$succ', TMP_Time_succ_25 = function $$succ() {\n      var self = this;\n\n      \n      var result = new Date(self.getTime() + 1000);\n      result.is_utc = self.is_utc;\n      return result;\n    \n    }, TMP_Time_succ_25.$$arity = 0);\n    \n    Opal.def(self, '$usec', TMP_Time_usec_26 = function $$usec() {\n      var self = this;\n\n      return self.getMilliseconds() * 1000;\n    }, TMP_Time_usec_26.$$arity = 0);\n    \n    Opal.def(self, '$zone', TMP_Time_zone_27 = function $$zone() {\n      var self = this;\n\n      \n      var string = self.toString(),\n          result;\n\n      if (string.indexOf('(') == -1) {\n        result = string.match(/[A-Z]{3,4}/)[0];\n      }\n      else {\n        result = string.match(/\\((.+)\\)(?:\\s|$)/)[1]\n      }\n\n      if (result == \"GMT\" && /(GMT\\W*\\d{4})/.test(string)) {\n        return RegExp.$1;\n      }\n      else {\n        return result;\n      }\n    \n    }, TMP_Time_zone_27.$$arity = 0);\n    \n    Opal.def(self, '$getgm', TMP_Time_getgm_28 = function $$getgm() {\n      var self = this;\n\n      \n      var result = new Date(self.getTime());\n      result.is_utc = true;\n      return result;\n    \n    }, TMP_Time_getgm_28.$$arity = 0);\n    Opal.alias(self, \"getutc\", \"getgm\");\n    \n    Opal.def(self, '$gmtime', TMP_Time_gmtime_29 = function $$gmtime() {\n      var self = this;\n\n      \n      self.is_utc = true;\n      return self;\n    \n    }, TMP_Time_gmtime_29.$$arity = 0);\n    Opal.alias(self, \"utc\", \"gmtime\");\n    \n    Opal.def(self, '$gmt?', TMP_Time_gmt$q_30 = function() {\n      var self = this;\n\n      return self.is_utc === true;\n    }, TMP_Time_gmt$q_30.$$arity = 0);\n    \n    Opal.def(self, '$gmt_offset', TMP_Time_gmt_offset_31 = function $$gmt_offset() {\n      var self = this;\n\n      return -self.getTimezoneOffset() * 60;\n    }, TMP_Time_gmt_offset_31.$$arity = 0);\n    \n    Opal.def(self, '$strftime', TMP_Time_strftime_32 = function $$strftime(format) {\n      var self = this;\n\n      \n      return format.replace(/%([\\-_#^0]*:{0,2})(\\d+)?([EO]*)(.)/g, function(full, flags, width, _, conv) {\n        var result = \"\",\n            zero   = flags.indexOf('0') !== -1,\n            pad    = flags.indexOf('-') === -1,\n            blank  = flags.indexOf('_') !== -1,\n            upcase = flags.indexOf('^') !== -1,\n            invert = flags.indexOf('#') !== -1,\n            colons = (flags.match(':') || []).length;\n\n        width = parseInt(width, 10);\n\n        if (zero && blank) {\n          if (flags.indexOf('0') < flags.indexOf('_')) {\n            zero = false;\n          }\n          else {\n            blank = false;\n          }\n        }\n\n        switch (conv) {\n          case 'Y':\n            result += self.$year();\n            break;\n\n          case 'C':\n            zero    = !blank;\n            result += Math.round(self.$year() / 100);\n            break;\n\n          case 'y':\n            zero    = !blank;\n            result += (self.$year() % 100);\n            break;\n\n          case 'm':\n            zero    = !blank;\n            result += self.$mon();\n            break;\n\n          case 'B':\n            result += long_months[self.$mon() - 1];\n            break;\n\n          case 'b':\n          case 'h':\n            blank   = !zero;\n            result += short_months[self.$mon() - 1];\n            break;\n\n          case 'd':\n            zero    = !blank\n            result += self.$day();\n            break;\n\n          case 'e':\n            blank   = !zero\n            result += self.$day();\n            break;\n\n          case 'j':\n            result += self.$yday();\n            break;\n\n          case 'H':\n            zero    = !blank;\n            result += self.$hour();\n            break;\n\n          case 'k':\n            blank   = !zero;\n            result += self.$hour();\n            break;\n\n          case 'I':\n            zero    = !blank;\n            result += (self.$hour() % 12 || 12);\n            break;\n\n          case 'l':\n            blank   = !zero;\n            result += (self.$hour() % 12 || 12);\n            break;\n\n          case 'P':\n            result += (self.$hour() >= 12 ? \"pm\" : \"am\");\n            break;\n\n          case 'p':\n            result += (self.$hour() >= 12 ? \"PM\" : \"AM\");\n            break;\n\n          case 'M':\n            zero    = !blank;\n            result += self.$min();\n            break;\n\n          case 'S':\n            zero    = !blank;\n            result += self.$sec()\n            break;\n\n          case 'L':\n            zero    = !blank;\n            width   = isNaN(width) ? 3 : width;\n            result += self.getMilliseconds();\n            break;\n\n          case 'N':\n            width   = isNaN(width) ? 9 : width;\n            result += (self.getMilliseconds().toString()).$rjust(3, \"0\");\n            result  = (result).$ljust(width, \"0\");\n            break;\n\n          case 'z':\n            var offset  = self.getTimezoneOffset(),\n                hours   = Math.floor(Math.abs(offset) / 60),\n                minutes = Math.abs(offset) % 60;\n\n            result += offset < 0 ? \"+\" : \"-\";\n            result += hours < 10 ? \"0\" : \"\";\n            result += hours;\n\n            if (colons > 0) {\n              result += \":\";\n            }\n\n            result += minutes < 10 ? \"0\" : \"\";\n            result += minutes;\n\n            if (colons > 1) {\n              result += \":00\";\n            }\n\n            break;\n\n          case 'Z':\n            result += self.$zone();\n            break;\n\n          case 'A':\n            result += days_of_week[self.$wday()];\n            break;\n\n          case 'a':\n            result += short_days[self.$wday()];\n            break;\n\n          case 'u':\n            result += (self.$wday() + 1);\n            break;\n\n          case 'w':\n            result += self.$wday();\n            break;\n\n          case 'V':\n            result += self.$cweek_cyear()['$[]'](0).$to_s().$rjust(2, \"0\");\n            break;\n\n          case 'G':\n            result += self.$cweek_cyear()['$[]'](1);\n            break;\n\n          case 'g':\n            result += self.$cweek_cyear()['$[]'](1)['$[]']($range(-2, -1, false));\n            break;\n\n          case 's':\n            result += self.$to_i();\n            break;\n\n          case 'n':\n            result += \"\\n\";\n            break;\n\n          case 't':\n            result += \"\\t\";\n            break;\n\n          case '%':\n            result += \"%\";\n            break;\n\n          case 'c':\n            result += self.$strftime(\"%a %b %e %T %Y\");\n            break;\n\n          case 'D':\n          case 'x':\n            result += self.$strftime(\"%m/%d/%y\");\n            break;\n\n          case 'F':\n            result += self.$strftime(\"%Y-%m-%d\");\n            break;\n\n          case 'v':\n            result += self.$strftime(\"%e-%^b-%4Y\");\n            break;\n\n          case 'r':\n            result += self.$strftime(\"%I:%M:%S %p\");\n            break;\n\n          case 'R':\n            result += self.$strftime(\"%H:%M\");\n            break;\n\n          case 'T':\n          case 'X':\n            result += self.$strftime(\"%H:%M:%S\");\n            break;\n\n          default:\n            return full;\n        }\n\n        if (upcase) {\n          result = result.toUpperCase();\n        }\n\n        if (invert) {\n          result = result.replace(/[A-Z]/, function(c) { c.toLowerCase() }).\n                          replace(/[a-z]/, function(c) { c.toUpperCase() });\n        }\n\n        if (pad && (zero || blank)) {\n          result = (result).$rjust(isNaN(width) ? 2 : width, blank ? \" \" : \"0\");\n        }\n\n        return result;\n      });\n    \n    }, TMP_Time_strftime_32.$$arity = 1);\n    \n    Opal.def(self, '$sunday?', TMP_Time_sunday$q_33 = function() {\n      var self = this;\n\n      return self.$wday() == 0\n    }, TMP_Time_sunday$q_33.$$arity = 0);\n    \n    Opal.def(self, '$thursday?', TMP_Time_thursday$q_34 = function() {\n      var self = this;\n\n      return self.$wday() == 4\n    }, TMP_Time_thursday$q_34.$$arity = 0);\n    \n    Opal.def(self, '$to_a', TMP_Time_to_a_35 = function $$to_a() {\n      var self = this;\n\n      return [self.$sec(), self.$min(), self.$hour(), self.$day(), self.$month(), self.$year(), self.$wday(), self.$yday(), self.$isdst(), self.$zone()]\n    }, TMP_Time_to_a_35.$$arity = 0);\n    \n    Opal.def(self, '$to_f', TMP_Time_to_f_36 = function $$to_f() {\n      var self = this;\n\n      return self.getTime() / 1000;\n    }, TMP_Time_to_f_36.$$arity = 0);\n    \n    Opal.def(self, '$to_i', TMP_Time_to_i_37 = function $$to_i() {\n      var self = this;\n\n      return parseInt(self.getTime() / 1000, 10);\n    }, TMP_Time_to_i_37.$$arity = 0);\n    Opal.alias(self, \"to_s\", \"inspect\");\n    \n    Opal.def(self, '$tuesday?', TMP_Time_tuesday$q_38 = function() {\n      var self = this;\n\n      return self.$wday() == 2\n    }, TMP_Time_tuesday$q_38.$$arity = 0);\n    Opal.alias(self, \"tv_sec\", \"to_i\");\n    Opal.alias(self, \"tv_usec\", \"usec\");\n    Opal.alias(self, \"utc?\", \"gmt?\");\n    Opal.alias(self, \"gmtoff\", \"gmt_offset\");\n    Opal.alias(self, \"utc_offset\", \"gmt_offset\");\n    \n    Opal.def(self, '$wday', TMP_Time_wday_39 = function $$wday() {\n      var self = this;\n\n      return self.is_utc ? self.getUTCDay() : self.getDay();\n    }, TMP_Time_wday_39.$$arity = 0);\n    \n    Opal.def(self, '$wednesday?', TMP_Time_wednesday$q_40 = function() {\n      var self = this;\n\n      return self.$wday() == 3\n    }, TMP_Time_wednesday$q_40.$$arity = 0);\n    \n    Opal.def(self, '$year', TMP_Time_year_41 = function $$year() {\n      var self = this;\n\n      return self.is_utc ? self.getUTCFullYear() : self.getFullYear();\n    }, TMP_Time_year_41.$$arity = 0);\n    return (Opal.def(self, '$cweek_cyear', TMP_Time_cweek_cyear_42 = function $$cweek_cyear() {\n      var $a, self = this, jan01 = nil, jan01_wday = nil, first_monday = nil, year = nil, offset = nil, week = nil, dec31 = nil, dec31_wday = nil;\n\n      \n      jan01 = $$($nesting, 'Time').$new(self.$year(), 1, 1);\n      jan01_wday = jan01.$wday();\n      first_monday = 0;\n      year = self.$year();\n      if ($truthy(($truthy($a = $rb_le(jan01_wday, 4)) ? jan01_wday['$!='](0) : $a))) {\n        offset = $rb_minus(jan01_wday, 1)\n      } else {\n        \n        offset = $rb_minus($rb_minus(jan01_wday, 7), 1);\n        if (offset['$=='](-8)) {\n          offset = -1};\n      };\n      week = $rb_divide($rb_plus(self.$yday(), offset), 7.0).$ceil();\n      if ($truthy($rb_le(week, 0))) {\n        return $$($nesting, 'Time').$new($rb_minus(self.$year(), 1), 12, 31).$cweek_cyear()\n      } else if (week['$=='](53)) {\n        \n        dec31 = $$($nesting, 'Time').$new(self.$year(), 12, 31);\n        dec31_wday = dec31.$wday();\n        if ($truthy(($truthy($a = $rb_le(dec31_wday, 3)) ? dec31_wday['$!='](0) : $a))) {\n          \n          week = 1;\n          year = $rb_plus(year, 1);};};\n      return [week, year];\n    }, TMP_Time_cweek_cyear_42.$$arity = 0), nil) && 'cweek_cyear';\n  })($nesting[0], Date, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/struct\"] = function(Opal) {\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  function $rb_ge(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs >= rhs : lhs['$>='](rhs);\n  }\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy, $send = Opal.send, $hash2 = Opal.hash2;\n\n  Opal.add_stubs(['$require', '$include', '$const_name!', '$unshift', '$map', '$coerce_to!', '$new', '$each', '$define_struct_attribute', '$allocate', '$initialize', '$alias_method', '$module_eval', '$to_proc', '$const_set', '$==', '$raise', '$<<', '$members', '$define_method', '$instance_eval', '$class', '$last', '$>', '$length', '$-', '$keys', '$any?', '$join', '$[]', '$[]=', '$each_with_index', '$hash', '$===', '$<', '$-@', '$size', '$>=', '$include?', '$to_sym', '$instance_of?', '$__id__', '$eql?', '$enum_for', '$name', '$+', '$each_pair', '$inspect', '$each_with_object', '$flatten', '$to_a', '$respond_to?', '$dig']);\n  \n  self.$require(\"corelib/enumerable\");\n  return (function($base, $super, $parent_nesting) {\n    function $Struct(){};\n    var self = $Struct = $klass($base, $super, 'Struct', $Struct);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Struct_new_1, TMP_Struct_define_struct_attribute_8, TMP_Struct_members_9, TMP_Struct_inherited_11, TMP_Struct_initialize_14, TMP_Struct_members_15, TMP_Struct_hash_16, TMP_Struct_$$_17, TMP_Struct_$$$eq_18, TMP_Struct_$eq$eq_19, TMP_Struct_eql$q_20, TMP_Struct_each_21, TMP_Struct_each_pair_24, TMP_Struct_length_27, TMP_Struct_to_a_29, TMP_Struct_inspect_31, TMP_Struct_to_h_33, TMP_Struct_values_at_35, TMP_Struct_dig_36;\n\n    \n    self.$include($$($nesting, 'Enumerable'));\n    Opal.defs(self, '$new', TMP_Struct_new_1 = function(const_name, $a_rest, $kwargs) {\n      var TMP_2, TMP_3, self = this, $post_args, keyword_init, args, $iter = TMP_Struct_new_1.$$p, block = $iter || nil, klass = nil;\n\n      $post_args = Opal.slice.call(arguments, 1, arguments.length);\n      $kwargs = Opal.extract_kwargs($post_args);\n      if ($kwargs == null || !$kwargs.$$is_hash) {\n        if ($kwargs == null) {\n          $kwargs = $hash2([], {});\n        } else {\n          throw Opal.ArgumentError.$new('expected kwargs');\n        }\n      }\n      keyword_init = $kwargs.$$smap[\"keyword_init\"];\n      if (keyword_init == null) {\n        keyword_init = false\n      }\n      if (0 < $post_args.length) {\n        args = $post_args.splice(0, $post_args.length - 0);\n      } else {\n        args = [];\n      }\n      if ($iter) TMP_Struct_new_1.$$p = null;\n      \n      if ($truthy(const_name)) {\n        \n        try {\n          const_name = $$($nesting, 'Opal')['$const_name!'](const_name)\n        } catch ($err) {\n          if (Opal.rescue($err, [$$($nesting, 'TypeError'), $$($nesting, 'NameError')])) {\n            try {\n              \n              args.$unshift(const_name);\n              const_name = nil;\n            } finally { Opal.pop_exception() }\n          } else { throw $err; }\n        };};\n      $send(args, 'map', [], (TMP_2 = function(arg){var self = TMP_2.$$s || this;\nif (arg == null) arg = nil;\n      return $$($nesting, 'Opal')['$coerce_to!'](arg, $$($nesting, 'String'), \"to_str\")}, TMP_2.$$s = self, TMP_2.$$arity = 1, TMP_2));\n      klass = $send($$($nesting, 'Class'), 'new', [self], (TMP_3 = function(){var self = TMP_3.$$s || this, TMP_4;\n\n      \n        $send(args, 'each', [], (TMP_4 = function(arg){var self = TMP_4.$$s || this;\nif (arg == null) arg = nil;\n        return self.$define_struct_attribute(arg)}, TMP_4.$$s = self, TMP_4.$$arity = 1, TMP_4));\n        return (function(self, $parent_nesting) {\n          var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_new_5;\n\n          \n          \n          Opal.def(self, '$new', TMP_new_5 = function($a_rest) {\n            var self = this, args, instance = nil;\n\n            var $args_len = arguments.length, $rest_len = $args_len - 0;\n            if ($rest_len < 0) { $rest_len = 0; }\n            args = new Array($rest_len);\n            for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n              args[$arg_idx - 0] = arguments[$arg_idx];\n            }\n            \n            instance = self.$allocate();\n            instance.$$data = {};\n            $send(instance, 'initialize', Opal.to_a(args));\n            return instance;\n          }, TMP_new_5.$$arity = -1);\n          return self.$alias_method(\"[]\", \"new\");\n        })(Opal.get_singleton_class(self), $nesting);}, TMP_3.$$s = self, TMP_3.$$arity = 0, TMP_3));\n      if ($truthy(block)) {\n        $send(klass, 'module_eval', [], block.$to_proc())};\n      klass.$$keyword_init = keyword_init;\n      if ($truthy(const_name)) {\n        $$($nesting, 'Struct').$const_set(const_name, klass)};\n      return klass;\n    }, TMP_Struct_new_1.$$arity = -2);\n    Opal.defs(self, '$define_struct_attribute', TMP_Struct_define_struct_attribute_8 = function $$define_struct_attribute(name) {\n      var TMP_6, TMP_7, self = this;\n\n      \n      if (self['$==']($$($nesting, 'Struct'))) {\n        self.$raise($$($nesting, 'ArgumentError'), \"you cannot define attributes to the Struct class\")};\n      self.$members()['$<<'](name);\n      $send(self, 'define_method', [name], (TMP_6 = function(){var self = TMP_6.$$s || this;\n\n      return self.$$data[name];}, TMP_6.$$s = self, TMP_6.$$arity = 0, TMP_6));\n      return $send(self, 'define_method', [\"\" + (name) + \"=\"], (TMP_7 = function(value){var self = TMP_7.$$s || this;\nif (value == null) value = nil;\n      return self.$$data[name] = value;}, TMP_7.$$s = self, TMP_7.$$arity = 1, TMP_7));\n    }, TMP_Struct_define_struct_attribute_8.$$arity = 1);\n    Opal.defs(self, '$members', TMP_Struct_members_9 = function $$members() {\n      var $a, self = this;\n      if (self.members == null) self.members = nil;\n\n      \n      if (self['$==']($$($nesting, 'Struct'))) {\n        self.$raise($$($nesting, 'ArgumentError'), \"the Struct class has no members\")};\n      return (self.members = ($truthy($a = self.members) ? $a : []));\n    }, TMP_Struct_members_9.$$arity = 0);\n    Opal.defs(self, '$inherited', TMP_Struct_inherited_11 = function $$inherited(klass) {\n      var TMP_10, self = this, members = nil;\n      if (self.members == null) self.members = nil;\n\n      \n      members = self.members;\n      return $send(klass, 'instance_eval', [], (TMP_10 = function(){var self = TMP_10.$$s || this;\n\n      return (self.members = members)}, TMP_10.$$s = self, TMP_10.$$arity = 0, TMP_10));\n    }, TMP_Struct_inherited_11.$$arity = 1);\n    \n    Opal.def(self, '$initialize', TMP_Struct_initialize_14 = function $$initialize($a_rest) {\n      var $b, TMP_12, TMP_13, self = this, args, kwargs = nil, extra = nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      if ($truthy(self.$class().$$keyword_init)) {\n        \n        kwargs = ($truthy($b = args.$last()) ? $b : $hash2([], {}));\n        if ($truthy(($truthy($b = $rb_gt(args.$length(), 1)) ? $b : (args.length === 1 && !kwargs.$$is_hash)))) {\n          self.$raise($$($nesting, 'ArgumentError'), \"\" + \"wrong number of arguments (given \" + (args.$length()) + \", expected 0)\")};\n        extra = $rb_minus(kwargs.$keys(), self.$class().$members());\n        if ($truthy(extra['$any?']())) {\n          self.$raise($$($nesting, 'ArgumentError'), \"\" + \"unknown keywords: \" + (extra.$join(\", \")))};\n        return $send(self.$class().$members(), 'each', [], (TMP_12 = function(name){var self = TMP_12.$$s || this, $writer = nil;\nif (name == null) name = nil;\n        \n          $writer = [name, kwargs['$[]'](name)];\n          $send(self, '[]=', Opal.to_a($writer));\n          return $writer[$rb_minus($writer[\"length\"], 1)];}, TMP_12.$$s = self, TMP_12.$$arity = 1, TMP_12));\n      } else {\n        \n        if ($truthy($rb_gt(args.$length(), self.$class().$members().$length()))) {\n          self.$raise($$($nesting, 'ArgumentError'), \"struct size differs\")};\n        return $send(self.$class().$members(), 'each_with_index', [], (TMP_13 = function(name, index){var self = TMP_13.$$s || this, $writer = nil;\nif (name == null) name = nil;if (index == null) index = nil;\n        \n          $writer = [name, args['$[]'](index)];\n          $send(self, '[]=', Opal.to_a($writer));\n          return $writer[$rb_minus($writer[\"length\"], 1)];}, TMP_13.$$s = self, TMP_13.$$arity = 2, TMP_13));\n      }\n    }, TMP_Struct_initialize_14.$$arity = -1);\n    \n    Opal.def(self, '$members', TMP_Struct_members_15 = function $$members() {\n      var self = this;\n\n      return self.$class().$members()\n    }, TMP_Struct_members_15.$$arity = 0);\n    \n    Opal.def(self, '$hash', TMP_Struct_hash_16 = function $$hash() {\n      var self = this;\n\n      return $$($nesting, 'Hash').$new(self.$$data).$hash()\n    }, TMP_Struct_hash_16.$$arity = 0);\n    \n    Opal.def(self, '$[]', TMP_Struct_$$_17 = function(name) {\n      var self = this;\n\n      \n      if ($truthy($$($nesting, 'Integer')['$==='](name))) {\n        \n        if ($truthy($rb_lt(name, self.$class().$members().$size()['$-@']()))) {\n          self.$raise($$($nesting, 'IndexError'), \"\" + \"offset \" + (name) + \" too small for struct(size:\" + (self.$class().$members().$size()) + \")\")};\n        if ($truthy($rb_ge(name, self.$class().$members().$size()))) {\n          self.$raise($$($nesting, 'IndexError'), \"\" + \"offset \" + (name) + \" too large for struct(size:\" + (self.$class().$members().$size()) + \")\")};\n        name = self.$class().$members()['$[]'](name);\n      } else if ($truthy($$($nesting, 'String')['$==='](name))) {\n        \n        if(!self.$$data.hasOwnProperty(name)) {\n          self.$raise($$($nesting, 'NameError').$new(\"\" + \"no member '\" + (name) + \"' in struct\", name))\n        }\n      \n      } else {\n        self.$raise($$($nesting, 'TypeError'), \"\" + \"no implicit conversion of \" + (name.$class()) + \" into Integer\")\n      };\n      name = $$($nesting, 'Opal')['$coerce_to!'](name, $$($nesting, 'String'), \"to_str\");\n      return self.$$data[name];;\n    }, TMP_Struct_$$_17.$$arity = 1);\n    \n    Opal.def(self, '$[]=', TMP_Struct_$$$eq_18 = function(name, value) {\n      var self = this;\n\n      \n      if ($truthy($$($nesting, 'Integer')['$==='](name))) {\n        \n        if ($truthy($rb_lt(name, self.$class().$members().$size()['$-@']()))) {\n          self.$raise($$($nesting, 'IndexError'), \"\" + \"offset \" + (name) + \" too small for struct(size:\" + (self.$class().$members().$size()) + \")\")};\n        if ($truthy($rb_ge(name, self.$class().$members().$size()))) {\n          self.$raise($$($nesting, 'IndexError'), \"\" + \"offset \" + (name) + \" too large for struct(size:\" + (self.$class().$members().$size()) + \")\")};\n        name = self.$class().$members()['$[]'](name);\n      } else if ($truthy($$($nesting, 'String')['$==='](name))) {\n        if ($truthy(self.$class().$members()['$include?'](name.$to_sym()))) {\n        } else {\n          self.$raise($$($nesting, 'NameError').$new(\"\" + \"no member '\" + (name) + \"' in struct\", name))\n        }\n      } else {\n        self.$raise($$($nesting, 'TypeError'), \"\" + \"no implicit conversion of \" + (name.$class()) + \" into Integer\")\n      };\n      name = $$($nesting, 'Opal')['$coerce_to!'](name, $$($nesting, 'String'), \"to_str\");\n      return self.$$data[name] = value;;\n    }, TMP_Struct_$$$eq_18.$$arity = 2);\n    \n    Opal.def(self, '$==', TMP_Struct_$eq$eq_19 = function(other) {\n      var self = this;\n\n      \n      if ($truthy(other['$instance_of?'](self.$class()))) {\n      } else {\n        return false\n      };\n      \n      var recursed1 = {}, recursed2 = {};\n\n      function _eqeq(struct, other) {\n        var key, a, b;\n\n        recursed1[(struct).$__id__()] = true;\n        recursed2[(other).$__id__()] = true;\n\n        for (key in struct.$$data) {\n          a = struct.$$data[key];\n          b = other.$$data[key];\n\n          if ($$($nesting, 'Struct')['$==='](a)) {\n            if (!recursed1.hasOwnProperty((a).$__id__()) || !recursed2.hasOwnProperty((b).$__id__())) {\n              if (!_eqeq(a, b)) {\n                return false;\n              }\n            }\n          } else {\n            if (!(a)['$=='](b)) {\n              return false;\n            }\n          }\n        }\n\n        return true;\n      }\n\n      return _eqeq(self, other);\n    ;\n    }, TMP_Struct_$eq$eq_19.$$arity = 1);\n    \n    Opal.def(self, '$eql?', TMP_Struct_eql$q_20 = function(other) {\n      var self = this;\n\n      \n      if ($truthy(other['$instance_of?'](self.$class()))) {\n      } else {\n        return false\n      };\n      \n      var recursed1 = {}, recursed2 = {};\n\n      function _eqeq(struct, other) {\n        var key, a, b;\n\n        recursed1[(struct).$__id__()] = true;\n        recursed2[(other).$__id__()] = true;\n\n        for (key in struct.$$data) {\n          a = struct.$$data[key];\n          b = other.$$data[key];\n\n          if ($$($nesting, 'Struct')['$==='](a)) {\n            if (!recursed1.hasOwnProperty((a).$__id__()) || !recursed2.hasOwnProperty((b).$__id__())) {\n              if (!_eqeq(a, b)) {\n                return false;\n              }\n            }\n          } else {\n            if (!(a)['$eql?'](b)) {\n              return false;\n            }\n          }\n        }\n\n        return true;\n      }\n\n      return _eqeq(self, other);\n    ;\n    }, TMP_Struct_eql$q_20.$$arity = 1);\n    \n    Opal.def(self, '$each', TMP_Struct_each_21 = function $$each() {\n      var TMP_22, TMP_23, self = this, $iter = TMP_Struct_each_21.$$p, $yield = $iter || nil;\n\n      if ($iter) TMP_Struct_each_21.$$p = null;\n      \n      if (($yield !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"each\"], (TMP_22 = function(){var self = TMP_22.$$s || this;\n\n        return self.$size()}, TMP_22.$$s = self, TMP_22.$$arity = 0, TMP_22))\n      };\n      $send(self.$class().$members(), 'each', [], (TMP_23 = function(name){var self = TMP_23.$$s || this;\nif (name == null) name = nil;\n      return Opal.yield1($yield, self['$[]'](name));}, TMP_23.$$s = self, TMP_23.$$arity = 1, TMP_23));\n      return self;\n    }, TMP_Struct_each_21.$$arity = 0);\n    \n    Opal.def(self, '$each_pair', TMP_Struct_each_pair_24 = function $$each_pair() {\n      var TMP_25, TMP_26, self = this, $iter = TMP_Struct_each_pair_24.$$p, $yield = $iter || nil;\n\n      if ($iter) TMP_Struct_each_pair_24.$$p = null;\n      \n      if (($yield !== nil)) {\n      } else {\n        return $send(self, 'enum_for', [\"each_pair\"], (TMP_25 = function(){var self = TMP_25.$$s || this;\n\n        return self.$size()}, TMP_25.$$s = self, TMP_25.$$arity = 0, TMP_25))\n      };\n      $send(self.$class().$members(), 'each', [], (TMP_26 = function(name){var self = TMP_26.$$s || this;\nif (name == null) name = nil;\n      return Opal.yield1($yield, [name, self['$[]'](name)]);}, TMP_26.$$s = self, TMP_26.$$arity = 1, TMP_26));\n      return self;\n    }, TMP_Struct_each_pair_24.$$arity = 0);\n    \n    Opal.def(self, '$length', TMP_Struct_length_27 = function $$length() {\n      var self = this;\n\n      return self.$class().$members().$length()\n    }, TMP_Struct_length_27.$$arity = 0);\n    Opal.alias(self, \"size\", \"length\");\n    \n    Opal.def(self, '$to_a', TMP_Struct_to_a_29 = function $$to_a() {\n      var TMP_28, self = this;\n\n      return $send(self.$class().$members(), 'map', [], (TMP_28 = function(name){var self = TMP_28.$$s || this;\nif (name == null) name = nil;\n      return self['$[]'](name)}, TMP_28.$$s = self, TMP_28.$$arity = 1, TMP_28))\n    }, TMP_Struct_to_a_29.$$arity = 0);\n    Opal.alias(self, \"values\", \"to_a\");\n    \n    Opal.def(self, '$inspect', TMP_Struct_inspect_31 = function $$inspect() {\n      var $a, TMP_30, self = this, result = nil;\n\n      \n      result = \"#<struct \";\n      if ($truthy(($truthy($a = $$($nesting, 'Struct')['$==='](self)) ? self.$class().$name() : $a))) {\n        result = $rb_plus(result, \"\" + (self.$class()) + \" \")};\n      result = $rb_plus(result, $send(self.$each_pair(), 'map', [], (TMP_30 = function(name, value){var self = TMP_30.$$s || this;\nif (name == null) name = nil;if (value == null) value = nil;\n      return \"\" + (name) + \"=\" + (value.$inspect())}, TMP_30.$$s = self, TMP_30.$$arity = 2, TMP_30)).$join(\", \"));\n      result = $rb_plus(result, \">\");\n      return result;\n    }, TMP_Struct_inspect_31.$$arity = 0);\n    Opal.alias(self, \"to_s\", \"inspect\");\n    \n    Opal.def(self, '$to_h', TMP_Struct_to_h_33 = function $$to_h() {\n      var TMP_32, self = this;\n\n      return $send(self.$class().$members(), 'each_with_object', [$hash2([], {})], (TMP_32 = function(name, h){var self = TMP_32.$$s || this, $writer = nil;\nif (name == null) name = nil;if (h == null) h = nil;\n      \n        $writer = [name, self['$[]'](name)];\n        $send(h, '[]=', Opal.to_a($writer));\n        return $writer[$rb_minus($writer[\"length\"], 1)];}, TMP_32.$$s = self, TMP_32.$$arity = 2, TMP_32))\n    }, TMP_Struct_to_h_33.$$arity = 0);\n    \n    Opal.def(self, '$values_at', TMP_Struct_values_at_35 = function $$values_at($a_rest) {\n      var TMP_34, self = this, args;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      args = $send(args, 'map', [], (TMP_34 = function(arg){var self = TMP_34.$$s || this;\nif (arg == null) arg = nil;\n      return arg.$$is_range ? arg.$to_a() : arg}, TMP_34.$$s = self, TMP_34.$$arity = 1, TMP_34)).$flatten();\n      \n      var result = [];\n      for (var i = 0, len = args.length; i < len; i++) {\n        if (!args[i].$$is_number) {\n          self.$raise($$($nesting, 'TypeError'), \"\" + \"no implicit conversion of \" + ((args[i]).$class()) + \" into Integer\")\n        }\n        result.push(self['$[]'](args[i]));\n      }\n      return result;\n    ;\n    }, TMP_Struct_values_at_35.$$arity = -1);\n    return (Opal.def(self, '$dig', TMP_Struct_dig_36 = function $$dig(key, $a_rest) {\n      var self = this, keys, item = nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 1;\n      if ($rest_len < 0) { $rest_len = 0; }\n      keys = new Array($rest_len);\n      for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n        keys[$arg_idx - 1] = arguments[$arg_idx];\n      }\n      \n      item = (function() {if ($truthy(key.$$is_string && self.$$data.hasOwnProperty(key))) {\n        return self.$$data[key] || nil;\n      } else {\n        return nil\n      }; return nil; })();\n      \n      if (item === nil || keys.length === 0) {\n        return item;\n      }\n    ;\n      if ($truthy(item['$respond_to?'](\"dig\"))) {\n      } else {\n        self.$raise($$($nesting, 'TypeError'), \"\" + (item.$class()) + \" does not have #dig method\")\n      };\n      return $send(item, 'dig', Opal.to_a(keys));\n    }, TMP_Struct_dig_36.$$arity = -2), nil) && 'dig';\n  })($nesting[0], null, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/io\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $module = Opal.module, $send = Opal.send, $gvars = Opal.gvars, $truthy = Opal.truthy, $writer = nil;\n\n  Opal.add_stubs(['$attr_accessor', '$size', '$write', '$join', '$map', '$String', '$empty?', '$concat', '$chomp', '$getbyte', '$getc', '$raise', '$new', '$write_proc=', '$-', '$extend']);\n  \n  (function($base, $super, $parent_nesting) {\n    function $IO(){};\n    var self = $IO = $klass($base, $super, 'IO', $IO);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_IO_tty$q_1, TMP_IO_closed$q_2, TMP_IO_write_3, TMP_IO_flush_4;\n\n    def.tty = def.closed = nil;\n    \n    Opal.const_set($nesting[0], 'SEEK_SET', 0);\n    Opal.const_set($nesting[0], 'SEEK_CUR', 1);\n    Opal.const_set($nesting[0], 'SEEK_END', 2);\n    \n    Opal.def(self, '$tty?', TMP_IO_tty$q_1 = function() {\n      var self = this;\n\n      return self.tty\n    }, TMP_IO_tty$q_1.$$arity = 0);\n    \n    Opal.def(self, '$closed?', TMP_IO_closed$q_2 = function() {\n      var self = this;\n\n      return self.closed\n    }, TMP_IO_closed$q_2.$$arity = 0);\n    self.$attr_accessor(\"write_proc\");\n    \n    Opal.def(self, '$write', TMP_IO_write_3 = function $$write(string) {\n      var self = this;\n\n      \n      self.write_proc(string);\n      return string.$size();\n    }, TMP_IO_write_3.$$arity = 1);\n    self.$attr_accessor(\"sync\", \"tty\");\n    \n    Opal.def(self, '$flush', TMP_IO_flush_4 = function $$flush() {\n      var self = this;\n\n      return nil\n    }, TMP_IO_flush_4.$$arity = 0);\n    (function($base, $parent_nesting) {\n      var $Writable, self = $Writable = $module($base, 'Writable');\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Writable_$lt$lt_5, TMP_Writable_print_7, TMP_Writable_puts_9;\n\n      \n      \n      Opal.def(self, '$<<', TMP_Writable_$lt$lt_5 = function(string) {\n        var self = this;\n\n        \n        self.$write(string);\n        return self;\n      }, TMP_Writable_$lt$lt_5.$$arity = 1);\n      \n      Opal.def(self, '$print', TMP_Writable_print_7 = function $$print($a_rest) {\n        var TMP_6, self = this, args;\n        if ($gvars[\",\"] == null) $gvars[\",\"] = nil;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        args = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          args[$arg_idx - 0] = arguments[$arg_idx];\n        }\n        \n        self.$write($send(args, 'map', [], (TMP_6 = function(arg){var self = TMP_6.$$s || this;\nif (arg == null) arg = nil;\n        return self.$String(arg)}, TMP_6.$$s = self, TMP_6.$$arity = 1, TMP_6)).$join($gvars[\",\"]));\n        return nil;\n      }, TMP_Writable_print_7.$$arity = -1);\n      \n      Opal.def(self, '$puts', TMP_Writable_puts_9 = function $$puts($a_rest) {\n        var TMP_8, self = this, args, newline = nil;\n        if ($gvars[\"/\"] == null) $gvars[\"/\"] = nil;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        args = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          args[$arg_idx - 0] = arguments[$arg_idx];\n        }\n        \n        newline = $gvars[\"/\"];\n        if ($truthy(args['$empty?']())) {\n          self.$write($gvars[\"/\"])\n        } else {\n          self.$write($send(args, 'map', [], (TMP_8 = function(arg){var self = TMP_8.$$s || this;\nif (arg == null) arg = nil;\n          return self.$String(arg).$chomp()}, TMP_8.$$s = self, TMP_8.$$arity = 1, TMP_8)).$concat([nil]).$join(newline))\n        };\n        return nil;\n      }, TMP_Writable_puts_9.$$arity = -1);\n    })($nesting[0], $nesting);\n    return (function($base, $parent_nesting) {\n      var $Readable, self = $Readable = $module($base, 'Readable');\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Readable_readbyte_10, TMP_Readable_readchar_11, TMP_Readable_readline_12, TMP_Readable_readpartial_13;\n\n      \n      \n      Opal.def(self, '$readbyte', TMP_Readable_readbyte_10 = function $$readbyte() {\n        var self = this;\n\n        return self.$getbyte()\n      }, TMP_Readable_readbyte_10.$$arity = 0);\n      \n      Opal.def(self, '$readchar', TMP_Readable_readchar_11 = function $$readchar() {\n        var self = this;\n\n        return self.$getc()\n      }, TMP_Readable_readchar_11.$$arity = 0);\n      \n      Opal.def(self, '$readline', TMP_Readable_readline_12 = function $$readline(sep) {\n        var self = this;\n        if ($gvars[\"/\"] == null) $gvars[\"/\"] = nil;\n\n        if (sep == null) {\n          sep = $gvars[\"/\"];\n        }\n        return self.$raise($$($nesting, 'NotImplementedError'))\n      }, TMP_Readable_readline_12.$$arity = -1);\n      \n      Opal.def(self, '$readpartial', TMP_Readable_readpartial_13 = function $$readpartial(integer, outbuf) {\n        var self = this;\n\n        if (outbuf == null) {\n          outbuf = nil;\n        }\n        return self.$raise($$($nesting, 'NotImplementedError'))\n      }, TMP_Readable_readpartial_13.$$arity = -2);\n    })($nesting[0], $nesting);\n  })($nesting[0], null, $nesting);\n  Opal.const_set($nesting[0], 'STDERR', ($gvars.stderr = $$($nesting, 'IO').$new()));\n  Opal.const_set($nesting[0], 'STDIN', ($gvars.stdin = $$($nesting, 'IO').$new()));\n  Opal.const_set($nesting[0], 'STDOUT', ($gvars.stdout = $$($nesting, 'IO').$new()));\n  var console = Opal.global.console;\n  \n  $writer = [typeof(process) === 'object' && typeof(process.stdout) === 'object' ? function(s){process.stdout.write(s)} : function(s){console.log(s)}];\n  $send($$($nesting, 'STDOUT'), 'write_proc=', Opal.to_a($writer));\n  $writer[$rb_minus($writer[\"length\"], 1)];;\n  \n  $writer = [typeof(process) === 'object' && typeof(process.stderr) === 'object' ? function(s){process.stderr.write(s)} : function(s){console.warn(s)}];\n  $send($$($nesting, 'STDERR'), 'write_proc=', Opal.to_a($writer));\n  $writer[$rb_minus($writer[\"length\"], 1)];;\n  $$($nesting, 'STDOUT').$extend($$$($$($nesting, 'IO'), 'Writable'));\n  return $$($nesting, 'STDERR').$extend($$$($$($nesting, 'IO'), 'Writable'));\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/main\"] = function(Opal) {\n  var TMP_to_s_1, TMP_include_2, self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice;\n\n  Opal.add_stubs(['$include']);\n  \n  Opal.defs(self, '$to_s', TMP_to_s_1 = function $$to_s() {\n    var self = this;\n\n    return \"main\"\n  }, TMP_to_s_1.$$arity = 0);\n  return (Opal.defs(self, '$include', TMP_include_2 = function $$include(mod) {\n    var self = this;\n\n    return $$($nesting, 'Object').$include(mod)\n  }, TMP_include_2.$$arity = 1), nil) && 'include';\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/dir\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$[]']);\n  return (function($base, $super, $parent_nesting) {\n    function $Dir(){};\n    var self = $Dir = $klass($base, $super, 'Dir', $Dir);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    return (function(self, $parent_nesting) {\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_chdir_1, TMP_pwd_2, TMP_home_3;\n\n      \n      \n      Opal.def(self, '$chdir', TMP_chdir_1 = function $$chdir(dir) {\n        var self = this, $iter = TMP_chdir_1.$$p, $yield = $iter || nil, prev_cwd = nil;\n\n        if ($iter) TMP_chdir_1.$$p = null;\n        return (function() { try {\n        \n        prev_cwd = Opal.current_dir;\n        Opal.current_dir = dir;\n        return Opal.yieldX($yield, []);;\n        } finally {\n          Opal.current_dir = prev_cwd\n        }; })()\n      }, TMP_chdir_1.$$arity = 1);\n      \n      Opal.def(self, '$pwd', TMP_pwd_2 = function $$pwd() {\n        var self = this;\n\n        return Opal.current_dir || '.';\n      }, TMP_pwd_2.$$arity = 0);\n      Opal.alias(self, \"getwd\", \"pwd\");\n      return (Opal.def(self, '$home', TMP_home_3 = function $$home() {\n        var $a, self = this;\n\n        return ($truthy($a = $$($nesting, 'ENV')['$[]'](\"HOME\")) ? $a : \".\")\n      }, TMP_home_3.$$arity = 0), nil) && 'home';\n    })(Opal.get_singleton_class(self), $nesting)\n  })($nesting[0], null, $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/file\"] = function(Opal) {\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy, $range = Opal.range, $send = Opal.send;\n\n  Opal.add_stubs(['$home', '$raise', '$start_with?', '$+', '$sub', '$pwd', '$split', '$unshift', '$join', '$respond_to?', '$coerce_to!', '$basename', '$empty?', '$rindex', '$[]', '$nil?', '$==', '$-', '$length', '$gsub', '$find', '$=~', '$map', '$each_with_index', '$flatten', '$reject', '$to_proc', '$end_with?']);\n  return (function($base, $super, $parent_nesting) {\n    function $File(){};\n    var self = $File = $klass($base, $super, 'File', $File);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), windows_root_rx = nil;\n\n    \n    Opal.const_set($nesting[0], 'Separator', Opal.const_set($nesting[0], 'SEPARATOR', \"/\"));\n    Opal.const_set($nesting[0], 'ALT_SEPARATOR', nil);\n    Opal.const_set($nesting[0], 'PATH_SEPARATOR', \":\");\n    Opal.const_set($nesting[0], 'FNM_SYSCASE', 0);\n    windows_root_rx = /^[a-zA-Z]:(?:\\\\|\\/)/;\n    return (function(self, $parent_nesting) {\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_expand_path_1, TMP_dirname_2, TMP_basename_3, TMP_extname_4, TMP_exist$q_5, TMP_directory$q_7, TMP_join_10, TMP_split_11;\n\n      \n      \n      Opal.def(self, '$expand_path', TMP_expand_path_1 = function $$expand_path(path, basedir) {\n        var $a, self = this, sep = nil, sep_chars = nil, new_parts = nil, home = nil, home_path_regexp = nil, path_abs = nil, basedir_abs = nil, parts = nil, leading_sep = nil, abs = nil, new_path = nil;\n\n        if (basedir == null) {\n          basedir = nil;\n        }\n        \n        sep = $$($nesting, 'SEPARATOR');\n        sep_chars = $sep_chars();\n        new_parts = [];\n        if ($truthy(path[0] === '~' || (basedir && basedir[0] === '~'))) {\n          \n          home = $$($nesting, 'Dir').$home();\n          if ($truthy(home)) {\n          } else {\n            self.$raise($$($nesting, 'ArgumentError'), \"couldn't find HOME environment -- expanding `~'\")\n          };\n          if ($truthy(home['$start_with?'](sep))) {\n          } else {\n            self.$raise($$($nesting, 'ArgumentError'), \"non-absolute home\")\n          };\n          home = $rb_plus(home, sep);\n          home_path_regexp = new RegExp(\"\" + \"^\\\\~(?:\" + (sep) + \"|$)\");\n          path = path.$sub(home_path_regexp, home);\n          if ($truthy(basedir)) {\n            basedir = basedir.$sub(home_path_regexp, home)};};\n        basedir = ($truthy($a = basedir) ? $a : $$($nesting, 'Dir').$pwd());\n        path_abs = path.substr(0, sep.length) === sep || windows_root_rx.test(path);\n        basedir_abs = basedir.substr(0, sep.length) === sep || windows_root_rx.test(basedir);\n        if ($truthy(path_abs)) {\n          \n          parts = path.$split(new RegExp(\"\" + \"[\" + (sep_chars) + \"]\"));\n          leading_sep = windows_root_rx.test(path) ? '' : path.$sub(new RegExp(\"\" + \"^([\" + (sep_chars) + \"]+).*$\"), \"\\\\1\");\n          abs = true;\n        } else {\n          \n          parts = $rb_plus(basedir.$split(new RegExp(\"\" + \"[\" + (sep_chars) + \"]\")), path.$split(new RegExp(\"\" + \"[\" + (sep_chars) + \"]\")));\n          leading_sep = windows_root_rx.test(basedir) ? '' : basedir.$sub(new RegExp(\"\" + \"^([\" + (sep_chars) + \"]+).*$\"), \"\\\\1\");\n          abs = basedir_abs;\n        };\n        \n        var part;\n        for (var i = 0, ii = parts.length; i < ii; i++) {\n          part = parts[i];\n\n          if (\n            (part === nil) ||\n            (part === ''  && ((new_parts.length === 0) || abs)) ||\n            (part === '.' && ((new_parts.length === 0) || abs))\n          ) {\n            continue;\n          }\n          if (part === '..') {\n            new_parts.pop();\n          } else {\n            new_parts.push(part);\n          }\n        }\n\n        if (!abs && parts[0] !== '.') {\n          new_parts.$unshift(\".\")\n        }\n      ;\n        new_path = new_parts.$join(sep);\n        if ($truthy(abs)) {\n          new_path = $rb_plus(leading_sep, new_path)};\n        return new_path;\n      }, TMP_expand_path_1.$$arity = -2);\n      Opal.alias(self, \"realpath\", \"expand_path\");\n      \n      // Coerce a given path to a path string using #to_path and #to_str\n      function $coerce_to_path(path) {\n        if ($truthy((path)['$respond_to?'](\"to_path\"))) {\n          path = path.$to_path();\n        }\n\n        path = $$($nesting, 'Opal')['$coerce_to!'](path, $$($nesting, 'String'), \"to_str\");\n\n        return path;\n      }\n\n      // Return a RegExp compatible char class\n      function $sep_chars() {\n        if ($$($nesting, 'ALT_SEPARATOR') === nil) {\n          return Opal.escape_regexp($$($nesting, 'SEPARATOR'));\n        } else {\n          return Opal.escape_regexp($rb_plus($$($nesting, 'SEPARATOR'), $$($nesting, 'ALT_SEPARATOR')));\n        }\n      }\n    ;\n      \n      Opal.def(self, '$dirname', TMP_dirname_2 = function $$dirname(path) {\n        var self = this, sep_chars = nil;\n\n        \n        sep_chars = $sep_chars();\n        path = $coerce_to_path(path);\n        \n        var absolute = path.match(new RegExp(\"\" + \"^[\" + (sep_chars) + \"]\"));\n\n        path = path.replace(new RegExp(\"\" + \"[\" + (sep_chars) + \"]+$\"), ''); // remove trailing separators\n        path = path.replace(new RegExp(\"\" + \"[^\" + (sep_chars) + \"]+$\"), ''); // remove trailing basename\n        path = path.replace(new RegExp(\"\" + \"[\" + (sep_chars) + \"]+$\"), ''); // remove final trailing separators\n\n        if (path === '') {\n          return absolute ? '/' : '.';\n        }\n\n        return path;\n      ;\n      }, TMP_dirname_2.$$arity = 1);\n      \n      Opal.def(self, '$basename', TMP_basename_3 = function $$basename(name, suffix) {\n        var self = this, sep_chars = nil;\n\n        if (suffix == null) {\n          suffix = nil;\n        }\n        \n        sep_chars = $sep_chars();\n        name = $coerce_to_path(name);\n        \n        if (name.length == 0) {\n          return name;\n        }\n\n        if (suffix !== nil) {\n          suffix = $$($nesting, 'Opal')['$coerce_to!'](suffix, $$($nesting, 'String'), \"to_str\")\n        } else {\n          suffix = null;\n        }\n\n        name = name.replace(new RegExp(\"\" + \"(.)[\" + (sep_chars) + \"]*$\"), '$1');\n        name = name.replace(new RegExp(\"\" + \"^(?:.*[\" + (sep_chars) + \"])?([^\" + (sep_chars) + \"]+)$\"), '$1');\n\n        if (suffix === \".*\") {\n          name = name.replace(/\\.[^\\.]+$/, '');\n        } else if(suffix !== null) {\n          suffix = Opal.escape_regexp(suffix);\n          name = name.replace(new RegExp(\"\" + (suffix) + \"$\"), '');\n        }\n\n        return name;\n      ;\n      }, TMP_basename_3.$$arity = -2);\n      \n      Opal.def(self, '$extname', TMP_extname_4 = function $$extname(path) {\n        var $a, self = this, filename = nil, last_dot_idx = nil;\n\n        \n        path = $coerce_to_path(path);\n        filename = self.$basename(path);\n        if ($truthy(filename['$empty?']())) {\n          return \"\"};\n        last_dot_idx = filename['$[]']($range(1, -1, false)).$rindex(\".\");\n        if ($truthy(($truthy($a = last_dot_idx['$nil?']()) ? $a : $rb_plus(last_dot_idx, 1)['$==']($rb_minus(filename.$length(), 1))))) {\n          return \"\"\n        } else {\n          return filename['$[]'](Opal.Range.$new($rb_plus(last_dot_idx, 1), -1, false))\n        };\n      }, TMP_extname_4.$$arity = 1);\n      \n      Opal.def(self, '$exist?', TMP_exist$q_5 = function(path) {\n        var self = this;\n\n        return Opal.modules[path] != null\n      }, TMP_exist$q_5.$$arity = 1);\n      Opal.alias(self, \"exists?\", \"exist?\");\n      \n      Opal.def(self, '$directory?', TMP_directory$q_7 = function(path) {\n        var TMP_6, self = this, files = nil, file = nil;\n\n        \n        files = [];\n        \n        for (var key in Opal.modules) {\n          files.push(key)\n        }\n      ;\n        path = path.$gsub(new RegExp(\"\" + \"(^.\" + ($$($nesting, 'SEPARATOR')) + \"+|\" + ($$($nesting, 'SEPARATOR')) + \"+$)\"));\n        file = $send(files, 'find', [], (TMP_6 = function(f){var self = TMP_6.$$s || this;\nif (f == null) f = nil;\n        return f['$=~'](new RegExp(\"\" + \"^\" + (path)))}, TMP_6.$$s = self, TMP_6.$$arity = 1, TMP_6));\n        return file;\n      }, TMP_directory$q_7.$$arity = 1);\n      \n      Opal.def(self, '$join', TMP_join_10 = function $$join($a_rest) {\n        var TMP_8, TMP_9, self = this, paths, result = nil;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 0;\n        if ($rest_len < 0) { $rest_len = 0; }\n        paths = new Array($rest_len);\n        for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n          paths[$arg_idx - 0] = arguments[$arg_idx];\n        }\n        \n        if ($truthy(paths['$empty?']())) {\n          return \"\"};\n        result = \"\";\n        paths = $send(paths.$flatten().$each_with_index(), 'map', [], (TMP_8 = function(item, index){var self = TMP_8.$$s || this, $a;\nif (item == null) item = nil;if (index == null) index = nil;\n        if ($truthy((($a = index['$=='](0)) ? item['$empty?']() : index['$=='](0)))) {\n            return $$($nesting, 'SEPARATOR')\n          } else if ($truthy((($a = paths.$length()['$==']($rb_plus(index, 1))) ? item['$empty?']() : paths.$length()['$==']($rb_plus(index, 1))))) {\n            return $$($nesting, 'SEPARATOR')\n          } else {\n            return item\n          }}, TMP_8.$$s = self, TMP_8.$$arity = 2, TMP_8));\n        paths = $send(paths, 'reject', [], \"empty?\".$to_proc());\n        $send(paths, 'each_with_index', [], (TMP_9 = function(item, index){var self = TMP_9.$$s || this, $a, next_item = nil;\nif (item == null) item = nil;if (index == null) index = nil;\n        \n          next_item = paths['$[]']($rb_plus(index, 1));\n          if ($truthy(next_item['$nil?']())) {\n            return (result = \"\" + (result) + (item))\n          } else {\n            \n            if ($truthy(($truthy($a = item['$end_with?']($$($nesting, 'SEPARATOR'))) ? next_item['$start_with?']($$($nesting, 'SEPARATOR')) : $a))) {\n              item = item.$sub(new RegExp(\"\" + ($$($nesting, 'SEPARATOR')) + \"+$\"), \"\")};\n            return (result = (function() {if ($truthy(($truthy($a = item['$end_with?']($$($nesting, 'SEPARATOR'))) ? $a : next_item['$start_with?']($$($nesting, 'SEPARATOR'))))) {\n              return \"\" + (result) + (item)\n            } else {\n              return \"\" + (result) + (item) + ($$($nesting, 'SEPARATOR'))\n            }; return nil; })());\n          };}, TMP_9.$$s = self, TMP_9.$$arity = 2, TMP_9));\n        return result;\n      }, TMP_join_10.$$arity = -1);\n      return (Opal.def(self, '$split', TMP_split_11 = function $$split(path) {\n        var self = this;\n\n        return path.$split($$($nesting, 'SEPARATOR'))\n      }, TMP_split_11.$$arity = 1), nil) && 'split';\n    })(Opal.get_singleton_class(self), $nesting);\n  })($nesting[0], $$($nesting, 'IO'), $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/process\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$const_set', '$size', '$<<', '$__register_clock__', '$to_f', '$now', '$new', '$[]', '$raise']);\n  \n  (function($base, $super, $parent_nesting) {\n    function $Process(){};\n    var self = $Process = $klass($base, $super, 'Process', $Process);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Process___register_clock___1, TMP_Process_pid_2, TMP_Process_times_3, TMP_Process_clock_gettime_4, monotonic = nil;\n\n    \n    self.__clocks__ = [];\n    Opal.defs(self, '$__register_clock__', TMP_Process___register_clock___1 = function $$__register_clock__(name, func) {\n      var self = this;\n      if (self.__clocks__ == null) self.__clocks__ = nil;\n\n      \n      self.$const_set(name, self.__clocks__.$size());\n      return self.__clocks__['$<<'](func);\n    }, TMP_Process___register_clock___1.$$arity = 2);\n    self.$__register_clock__(\"CLOCK_REALTIME\", function() { return Date.now() });\n    monotonic = false;\n    \n    if (Opal.global.performance) {\n      monotonic = function() {\n        return performance.now()\n      };\n    }\n    else if (Opal.global.process && process.hrtime) {\n      // let now be the base to get smaller numbers\n      var hrtime_base = process.hrtime();\n\n      monotonic = function() {\n        var hrtime = process.hrtime(hrtime_base);\n        var us = (hrtime[1] / 1000) | 0; // cut below microsecs;\n        return ((hrtime[0] * 1000) + (us / 1000));\n      };\n    }\n  ;\n    if ($truthy(monotonic)) {\n      self.$__register_clock__(\"CLOCK_MONOTONIC\", monotonic)};\n    Opal.defs(self, '$pid', TMP_Process_pid_2 = function $$pid() {\n      var self = this;\n\n      return 0\n    }, TMP_Process_pid_2.$$arity = 0);\n    Opal.defs(self, '$times', TMP_Process_times_3 = function $$times() {\n      var self = this, t = nil;\n\n      \n      t = $$($nesting, 'Time').$now().$to_f();\n      return $$$($$($nesting, 'Benchmark'), 'Tms').$new(t, t, t, t, t);\n    }, TMP_Process_times_3.$$arity = 0);\n    return (Opal.defs(self, '$clock_gettime', TMP_Process_clock_gettime_4 = function $$clock_gettime(clock_id, unit) {\n      var $a, self = this, clock = nil;\n      if (self.__clocks__ == null) self.__clocks__ = nil;\n\n      if (unit == null) {\n        unit = \"float_second\";\n      }\n      \n      ($truthy($a = (clock = self.__clocks__['$[]'](clock_id))) ? $a : self.$raise($$$($$($nesting, 'Errno'), 'EINVAL'), \"\" + \"clock_gettime(\" + (clock_id) + \") \" + (self.__clocks__['$[]'](clock_id))));\n      \n      var ms = clock();\n      switch (unit) {\n        case 'float_second':      return  (ms / 1000);         // number of seconds as a float (default)\n        case 'float_millisecond': return  (ms / 1);            // number of milliseconds as a float\n        case 'float_microsecond': return  (ms * 1000);         // number of microseconds as a float\n        case 'second':            return ((ms / 1000)    | 0); // number of seconds as an integer\n        case 'millisecond':       return ((ms / 1)       | 0); // number of milliseconds as an integer\n        case 'microsecond':       return ((ms * 1000)    | 0); // number of microseconds as an integer\n        case 'nanosecond':        return ((ms * 1000000) | 0); // number of nanoseconds as an integer\n        default: self.$raise($$($nesting, 'ArgumentError'), \"\" + \"unexpected unit: \" + (unit))\n      }\n    ;\n    }, TMP_Process_clock_gettime_4.$$arity = -2), nil) && 'clock_gettime';\n  })($nesting[0], null, $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $Signal(){};\n    var self = $Signal = $klass($base, $super, 'Signal', $Signal);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Signal_trap_5;\n\n    return (Opal.defs(self, '$trap', TMP_Signal_trap_5 = function $$trap($a_rest) {\n      var self = this;\n\n      return nil\n    }, TMP_Signal_trap_5.$$arity = -1), nil) && 'trap'\n  })($nesting[0], null, $nesting);\n  return (function($base, $super, $parent_nesting) {\n    function $GC(){};\n    var self = $GC = $klass($base, $super, 'GC', $GC);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_GC_start_6;\n\n    return (Opal.defs(self, '$start', TMP_GC_start_6 = function $$start() {\n      var self = this;\n\n      return nil\n    }, TMP_GC_start_6.$$arity = 0), nil) && 'start'\n  })($nesting[0], null, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/random/seedrandom\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass;\n\n  return (function($base, $super, $parent_nesting) {\n    function $Random(){};\n    var self = $Random = $klass($base, $super, 'Random', $Random);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    \n    /* jshint ignore:start */\n    /*\n    seedrandom.min.js 2.4.1 (original source: https://github.com/davidbau/seedrandom/blob/2.4.1/seedrandom.min.js)\n    How to update:\n     . Chekout the latest release from GitHub: https://github.com/davidbau/seedrandom\n     . Apply the following commits:\n     .. Check for hasOwnProperty in flatten(): https://github.com/iliabylich/seedrandom/commit/06a94f59ae3d3956c8b1a2488334cafab6744b04\n     .. Add a module id for the RequireJS `define` method: https://github.com/Mogztter/seedrandom/commit/e047540c3d81f955cab9a01d17b8141d439fbd7d\n    */\n    !function(a,b){function c(c,j,k){var n=[];j=1==j?{entropy:!0}:j||{};var s=g(f(j.entropy?[c,i(a)]:null==c?h():c,3),n),t=new d(n),u=function(){for(var a=t.g(m),b=p,c=0;a<q;)a=(a+c)*l,b*=l,c=t.g(1);for(;a>=r;)a/=2,b/=2,c>>>=1;return(a+c)/b};return u.int32=function(){return 0|t.g(4)},u.quick=function(){return t.g(4)/4294967296},u.double=u,g(i(t.S),a),(j.pass||k||function(a,c,d,f){return f&&(f.S&&e(f,t),a.state=function(){return e(t,{})}),d?(b[o]=a,c):a})(u,s,\"global\"in j?j.global:this==b,j.state)}function d(a){var b,c=a.length,d=this,e=0,f=d.i=d.j=0,g=d.S=[];for(c||(a=[c++]);e<l;)g[e]=e++;for(e=0;e<l;e++)g[e]=g[f=s&f+a[e%c]+(b=g[e])],g[f]=b;(d.g=function(a){for(var b,c=0,e=d.i,f=d.j,g=d.S;a--;)b=g[e=s&e+1],c=c*l+g[s&(g[e]=g[f=s&f+b])+(g[f]=b)];return d.i=e,d.j=f,c})(l)}function e(a,b){return b.i=a.i,b.j=a.j,b.S=a.S.slice(),b}function f(a,b){var c,d=[],e=typeof a;if(b&&\"object\"==e)for(c in a)if(a.hasOwnProperty(c))try{d.push(f(a[c],b-1))}catch(a){}return d.length?d:\"string\"==e?a:a+\"\\0\"}function g(a,b){for(var c,d=a+\"\",e=0;e<d.length;)b[s&e]=s&(c^=19*b[s&e])+d.charCodeAt(e++);return i(b)}function h(){try{if(j)return i(j.randomBytes(l));var b=new Uint8Array(l);return(k.crypto||k.msCrypto).getRandomValues(b),i(b)}catch(b){var c=k.navigator,d=c&&c.plugins;return[+new Date,k,d,k.screen,i(a)]}}function i(a){return String.fromCharCode.apply(0,a)}var j,k=this,l=256,m=6,n=52,o=\"random\",p=b.pow(l,m),q=b.pow(2,n),r=2*q,s=l-1;if(b[\"seed\"+o]=c,g(b.random(),a),\"object\"==typeof module&&module.exports){module.exports=c;try{j=require(\"crypto\")}catch(a){}}else\"function\"==typeof define&&define.amd&&define('seekrandom',function(){return c})}([],Math);\n    /* jshint ignore:end */\n  \n  })($nesting[0], null, $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/random\"] = function(Opal) {\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy, $send = Opal.send;\n\n  Opal.add_stubs(['$require', '$attr_reader', '$coerce_to!', '$reseed', '$new_seed', '$rand', '$seed', '$<', '$raise', '$encode', '$join', '$new', '$chr', '$===', '$==', '$state']);\n  \n  self.$require(\"corelib/random/seedrandom.js\");\n  return (function($base, $super, $parent_nesting) {\n    function $Random(){};\n    var self = $Random = $klass($base, $super, 'Random', $Random);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Random_initialize_1, TMP_Random_reseed_2, TMP_Random_new_seed_3, TMP_Random_rand_4, TMP_Random_srand_5, TMP_Random_urandom_7, TMP_Random_$eq$eq_8, TMP_Random_bytes_10, TMP_Random_rand_11;\n\n    \n    self.$attr_reader(\"seed\", \"state\");\n    \n    Opal.def(self, '$initialize', TMP_Random_initialize_1 = function $$initialize(seed) {\n      var self = this;\n\n      if (seed == null) {\n        seed = $$($nesting, 'Random').$new_seed();\n      }\n      \n      seed = $$($nesting, 'Opal')['$coerce_to!'](seed, $$($nesting, 'Integer'), \"to_int\");\n      self.state = seed;\n      return self.$reseed(seed);\n    }, TMP_Random_initialize_1.$$arity = -1);\n    \n    Opal.def(self, '$reseed', TMP_Random_reseed_2 = function $$reseed(seed) {\n      var self = this;\n\n      \n      self.seed = seed;\n      return self.$rng = new Math.seedrandom(seed);;\n    }, TMP_Random_reseed_2.$$arity = 1);\n    var $seed_generator = new Math.seedrandom('opal', { entropy: true });\n    Opal.defs(self, '$new_seed', TMP_Random_new_seed_3 = function $$new_seed() {\n      var self = this;\n\n      return Math.abs($seed_generator.int32());\n    }, TMP_Random_new_seed_3.$$arity = 0);\n    Opal.defs(self, '$rand', TMP_Random_rand_4 = function $$rand(limit) {\n      var self = this;\n\n      return $$($nesting, 'DEFAULT').$rand(limit)\n    }, TMP_Random_rand_4.$$arity = -1);\n    Opal.defs(self, '$srand', TMP_Random_srand_5 = function $$srand(n) {\n      var self = this, previous_seed = nil;\n\n      if (n == null) {\n        n = $$($nesting, 'Random').$new_seed();\n      }\n      \n      n = $$($nesting, 'Opal')['$coerce_to!'](n, $$($nesting, 'Integer'), \"to_int\");\n      previous_seed = $$($nesting, 'DEFAULT').$seed();\n      $$($nesting, 'DEFAULT').$reseed(n);\n      return previous_seed;\n    }, TMP_Random_srand_5.$$arity = -1);\n    Opal.defs(self, '$urandom', TMP_Random_urandom_7 = function $$urandom(size) {\n      var TMP_6, self = this;\n\n      \n      size = $$($nesting, 'Opal')['$coerce_to!'](size, $$($nesting, 'Integer'), \"to_int\");\n      if ($truthy($rb_lt(size, 0))) {\n        self.$raise($$($nesting, 'ArgumentError'), \"negative string size (or size too big)\")};\n      return $send($$($nesting, 'Array'), 'new', [size], (TMP_6 = function(){var self = TMP_6.$$s || this;\n\n      return self.$rand(255).$chr()}, TMP_6.$$s = self, TMP_6.$$arity = 0, TMP_6)).$join().$encode(\"ASCII-8BIT\");\n    }, TMP_Random_urandom_7.$$arity = 1);\n    Opal.const_set($nesting[0], 'DEFAULT', self.$new(self.$new_seed()));\n    \n    Opal.def(self, '$==', TMP_Random_$eq$eq_8 = function(other) {\n      var $a, self = this;\n\n      \n      if ($truthy($$($nesting, 'Random')['$==='](other))) {\n      } else {\n        return false\n      };\n      return (($a = self.$seed()['$=='](other.$seed())) ? self.$state()['$=='](other.$state()) : self.$seed()['$=='](other.$seed()));\n    }, TMP_Random_$eq$eq_8.$$arity = 1);\n    \n    Opal.def(self, '$bytes', TMP_Random_bytes_10 = function $$bytes(length) {\n      var TMP_9, self = this;\n\n      \n      length = $$($nesting, 'Opal')['$coerce_to!'](length, $$($nesting, 'Integer'), \"to_int\");\n      return $send($$($nesting, 'Array'), 'new', [length], (TMP_9 = function(){var self = TMP_9.$$s || this;\n\n      return self.$rand(255).$chr()}, TMP_9.$$s = self, TMP_9.$$arity = 0, TMP_9)).$join().$encode(\"ASCII-8BIT\");\n    }, TMP_Random_bytes_10.$$arity = 1);\n    return (Opal.def(self, '$rand', TMP_Random_rand_11 = function $$rand(limit) {\n      var self = this;\n\n      \n      function randomFloat() {\n        self.state++;\n        return self.$rng.quick();\n      }\n\n      function randomInt() {\n        return Math.floor(randomFloat() * limit);\n      }\n\n      function randomRange() {\n        var min = limit.begin,\n            max = limit.end;\n\n        if (min === nil || max === nil) {\n          return nil;\n        }\n\n        var length = max - min;\n\n        if (length < 0) {\n          return nil;\n        }\n\n        if (length === 0) {\n          return min;\n        }\n\n        if (max % 1 === 0 && min % 1 === 0 && !limit.excl) {\n          length++;\n        }\n\n        return self.$rand(length) + min;\n      }\n\n      if (limit == null) {\n        return randomFloat();\n      } else if (limit.$$is_range) {\n        return randomRange();\n      } else if (limit.$$is_number) {\n        if (limit <= 0) {\n          self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid argument - \" + (limit))\n        }\n\n        if (limit % 1 === 0) {\n          // integer\n          return randomInt();\n        } else {\n          return randomFloat() * limit;\n        }\n      } else {\n        limit = $$($nesting, 'Opal')['$coerce_to!'](limit, $$($nesting, 'Integer'), \"to_int\");\n\n        if (limit <= 0) {\n          self.$raise($$($nesting, 'ArgumentError'), \"\" + \"invalid argument - \" + (limit))\n        }\n\n        return randomInt();\n      }\n    \n    }, TMP_Random_rand_11.$$arity = -1), nil) && 'rand';\n  })($nesting[0], null, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"corelib/unsupported\"] = function(Opal) {\n  var TMP_public_31, TMP_private_32, self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $module = Opal.module;\n\n  Opal.add_stubs(['$raise', '$warn', '$%']);\n  \n  \n  var warnings = {};\n\n  function handle_unsupported_feature(message) {\n    switch (Opal.config.unsupported_features_severity) {\n    case 'error':\n      $$($nesting, 'Kernel').$raise($$($nesting, 'NotImplementedError'), message)\n      break;\n    case 'warning':\n      warn(message)\n      break;\n    default: // ignore\n      // noop\n    }\n  }\n\n  function warn(string) {\n    if (warnings[string]) {\n      return;\n    }\n\n    warnings[string] = true;\n    self.$warn(string);\n  }\n;\n  (function($base, $super, $parent_nesting) {\n    function $String(){};\n    var self = $String = $klass($base, $super, 'String', $String);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_String_$lt$lt_1, TMP_String_capitalize$B_2, TMP_String_chomp$B_3, TMP_String_chop$B_4, TMP_String_downcase$B_5, TMP_String_gsub$B_6, TMP_String_lstrip$B_7, TMP_String_next$B_8, TMP_String_reverse$B_9, TMP_String_slice$B_10, TMP_String_squeeze$B_11, TMP_String_strip$B_12, TMP_String_sub$B_13, TMP_String_succ$B_14, TMP_String_swapcase$B_15, TMP_String_tr$B_16, TMP_String_tr_s$B_17, TMP_String_upcase$B_18, TMP_String_prepend_19;\n\n    \n    var ERROR = \"String#%s not supported. Mutable String methods are not supported in Opal.\";\n    \n    Opal.def(self, '$<<', TMP_String_$lt$lt_1 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"<<\"))\n    }, TMP_String_$lt$lt_1.$$arity = -1);\n    \n    Opal.def(self, '$capitalize!', TMP_String_capitalize$B_2 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"capitalize!\"))\n    }, TMP_String_capitalize$B_2.$$arity = -1);\n    \n    Opal.def(self, '$chomp!', TMP_String_chomp$B_3 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"chomp!\"))\n    }, TMP_String_chomp$B_3.$$arity = -1);\n    \n    Opal.def(self, '$chop!', TMP_String_chop$B_4 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"chop!\"))\n    }, TMP_String_chop$B_4.$$arity = -1);\n    \n    Opal.def(self, '$downcase!', TMP_String_downcase$B_5 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"downcase!\"))\n    }, TMP_String_downcase$B_5.$$arity = -1);\n    \n    Opal.def(self, '$gsub!', TMP_String_gsub$B_6 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"gsub!\"))\n    }, TMP_String_gsub$B_6.$$arity = -1);\n    \n    Opal.def(self, '$lstrip!', TMP_String_lstrip$B_7 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"lstrip!\"))\n    }, TMP_String_lstrip$B_7.$$arity = -1);\n    \n    Opal.def(self, '$next!', TMP_String_next$B_8 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"next!\"))\n    }, TMP_String_next$B_8.$$arity = -1);\n    \n    Opal.def(self, '$reverse!', TMP_String_reverse$B_9 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"reverse!\"))\n    }, TMP_String_reverse$B_9.$$arity = -1);\n    \n    Opal.def(self, '$slice!', TMP_String_slice$B_10 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"slice!\"))\n    }, TMP_String_slice$B_10.$$arity = -1);\n    \n    Opal.def(self, '$squeeze!', TMP_String_squeeze$B_11 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"squeeze!\"))\n    }, TMP_String_squeeze$B_11.$$arity = -1);\n    \n    Opal.def(self, '$strip!', TMP_String_strip$B_12 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"strip!\"))\n    }, TMP_String_strip$B_12.$$arity = -1);\n    \n    Opal.def(self, '$sub!', TMP_String_sub$B_13 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"sub!\"))\n    }, TMP_String_sub$B_13.$$arity = -1);\n    \n    Opal.def(self, '$succ!', TMP_String_succ$B_14 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"succ!\"))\n    }, TMP_String_succ$B_14.$$arity = -1);\n    \n    Opal.def(self, '$swapcase!', TMP_String_swapcase$B_15 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"swapcase!\"))\n    }, TMP_String_swapcase$B_15.$$arity = -1);\n    \n    Opal.def(self, '$tr!', TMP_String_tr$B_16 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"tr!\"))\n    }, TMP_String_tr$B_16.$$arity = -1);\n    \n    Opal.def(self, '$tr_s!', TMP_String_tr_s$B_17 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"tr_s!\"))\n    }, TMP_String_tr_s$B_17.$$arity = -1);\n    \n    Opal.def(self, '$upcase!', TMP_String_upcase$B_18 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"upcase!\"))\n    }, TMP_String_upcase$B_18.$$arity = -1);\n    return (Opal.def(self, '$prepend', TMP_String_prepend_19 = function $$prepend($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), (ERROR)['$%'](\"prepend\"))\n    }, TMP_String_prepend_19.$$arity = -1), nil) && 'prepend';\n  })($nesting[0], null, $nesting);\n  (function($base, $parent_nesting) {\n    var $Kernel, self = $Kernel = $module($base, 'Kernel');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Kernel_freeze_20, TMP_Kernel_frozen$q_21;\n\n    \n    var ERROR = \"Object freezing is not supported by Opal\";\n    \n    Opal.def(self, '$freeze', TMP_Kernel_freeze_20 = function $$freeze() {\n      var self = this;\n\n      \n      handle_unsupported_feature(ERROR);\n      return self;\n    }, TMP_Kernel_freeze_20.$$arity = 0);\n    \n    Opal.def(self, '$frozen?', TMP_Kernel_frozen$q_21 = function() {\n      var self = this;\n\n      \n      handle_unsupported_feature(ERROR);\n      return false;\n    }, TMP_Kernel_frozen$q_21.$$arity = 0);\n  })($nesting[0], $nesting);\n  (function($base, $parent_nesting) {\n    var $Kernel, self = $Kernel = $module($base, 'Kernel');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Kernel_taint_22, TMP_Kernel_untaint_23, TMP_Kernel_tainted$q_24;\n\n    \n    var ERROR = \"Object tainting is not supported by Opal\";\n    \n    Opal.def(self, '$taint', TMP_Kernel_taint_22 = function $$taint() {\n      var self = this;\n\n      \n      handle_unsupported_feature(ERROR);\n      return self;\n    }, TMP_Kernel_taint_22.$$arity = 0);\n    \n    Opal.def(self, '$untaint', TMP_Kernel_untaint_23 = function $$untaint() {\n      var self = this;\n\n      \n      handle_unsupported_feature(ERROR);\n      return self;\n    }, TMP_Kernel_untaint_23.$$arity = 0);\n    \n    Opal.def(self, '$tainted?', TMP_Kernel_tainted$q_24 = function() {\n      var self = this;\n\n      \n      handle_unsupported_feature(ERROR);\n      return false;\n    }, TMP_Kernel_tainted$q_24.$$arity = 0);\n  })($nesting[0], $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $Module(){};\n    var self = $Module = $klass($base, $super, 'Module', $Module);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Module_public_25, TMP_Module_private_class_method_26, TMP_Module_private_method_defined$q_27, TMP_Module_private_constant_28;\n\n    \n    \n    Opal.def(self, '$public', TMP_Module_public_25 = function($a_rest) {\n      var self = this, methods;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      methods = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        methods[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      \n      if (methods.length === 0) {\n        self.$$module_function = false;\n      }\n\n      return nil;\n    \n    }, TMP_Module_public_25.$$arity = -1);\n    Opal.alias(self, \"private\", \"public\");\n    Opal.alias(self, \"protected\", \"public\");\n    Opal.alias(self, \"nesting\", \"public\");\n    \n    Opal.def(self, '$private_class_method', TMP_Module_private_class_method_26 = function $$private_class_method($a_rest) {\n      var self = this;\n\n      return self\n    }, TMP_Module_private_class_method_26.$$arity = -1);\n    Opal.alias(self, \"public_class_method\", \"private_class_method\");\n    \n    Opal.def(self, '$private_method_defined?', TMP_Module_private_method_defined$q_27 = function(obj) {\n      var self = this;\n\n      return false\n    }, TMP_Module_private_method_defined$q_27.$$arity = 1);\n    \n    Opal.def(self, '$private_constant', TMP_Module_private_constant_28 = function $$private_constant($a_rest) {\n      var self = this;\n\n      return nil\n    }, TMP_Module_private_constant_28.$$arity = -1);\n    Opal.alias(self, \"protected_method_defined?\", \"private_method_defined?\");\n    Opal.alias(self, \"public_instance_methods\", \"instance_methods\");\n    return Opal.alias(self, \"public_method_defined?\", \"method_defined?\");\n  })($nesting[0], null, $nesting);\n  (function($base, $parent_nesting) {\n    var $Kernel, self = $Kernel = $module($base, 'Kernel');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Kernel_private_methods_29;\n\n    \n    \n    Opal.def(self, '$private_methods', TMP_Kernel_private_methods_29 = function $$private_methods($a_rest) {\n      var self = this;\n\n      return []\n    }, TMP_Kernel_private_methods_29.$$arity = -1);\n    Opal.alias(self, \"private_instance_methods\", \"private_methods\");\n  })($nesting[0], $nesting);\n  (function($base, $parent_nesting) {\n    var $Kernel, self = $Kernel = $module($base, 'Kernel');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Kernel_eval_30;\n\n    \n    Opal.def(self, '$eval', TMP_Kernel_eval_30 = function($a_rest) {\n      var self = this;\n\n      return self.$raise($$($nesting, 'NotImplementedError'), \"\" + \"To use Kernel#eval, you must first require 'opal-parser'. \" + (\"\" + \"See https://github.com/opal/opal/blob/\" + ($$($nesting, 'RUBY_ENGINE_VERSION')) + \"/docs/opal_parser.md for details.\"))\n    }, TMP_Kernel_eval_30.$$arity = -1)\n  })($nesting[0], $nesting);\n  Opal.defs(self, '$public', TMP_public_31 = function($a_rest) {\n    var self = this;\n\n    return nil\n  }, TMP_public_31.$$arity = -1);\n  return (Opal.defs(self, '$private', TMP_private_32 = function($a_rest) {\n    var self = this;\n\n    return nil\n  }, TMP_private_32.$$arity = -1), nil) && 'private';\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"opal\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice;\n\n  Opal.add_stubs(['$require']);\n  \n  self.$require(\"opal/base\");\n  self.$require(\"opal/mini\");\n  self.$require(\"corelib/string/inheritance\");\n  self.$require(\"corelib/string/encoding\");\n  self.$require(\"corelib/math\");\n  self.$require(\"corelib/complex\");\n  self.$require(\"corelib/rational\");\n  self.$require(\"corelib/time\");\n  self.$require(\"corelib/struct\");\n  self.$require(\"corelib/io\");\n  self.$require(\"corelib/main\");\n  self.$require(\"corelib/dir\");\n  self.$require(\"corelib/file\");\n  self.$require(\"corelib/process\");\n  self.$require(\"corelib/random\");\n  return self.$require(\"corelib/unsupported\");\n};\n\n  Opal.require('opal');\n}\n\n// UMD Module\n(function (root, factory) {\n  if (typeof module === 'object' && module.exports) {\n    // Node. Does not work with strict CommonJS, but\n    // only CommonJS-like environments that support module.exports,\n    // like Node.\n    module.exports = factory;\n  } else if (typeof define === 'function' && define.amd) {\n    // AMD. Register a named module.\n    define('asciidoctor', ['module'], function (module) {\n      return factory(module.config());\n    });\n  } else {\n    // Browser globals (root is window)\n    root.Asciidoctor = factory;\n  }\n// eslint-disable-next-line no-unused-vars\n}(this, function (moduleConfig) {\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/js/opal_ext/browser/file\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass;\n\n  Opal.add_stubs(['$new']);\n  return (function($base, $super, $parent_nesting) {\n    function $File(){};\n    var self = $File = $klass($base, $super, 'File', $File);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_File_read_1;\n\n    return (Opal.defs(self, '$read', TMP_File_read_1 = function $$read(path) {\n      var self = this;\n\n      \n      var data = '';\n      var status = -1;\n      try {\n        var xhr = new XMLHttpRequest();\n        xhr.open('GET', path, false);\n        xhr.addEventListener('load', function() {\n          status = this.status;\n          // status is 0 for local file mode (i.e., file://)\n          if (status === 0 || status === 200) {\n            data = this.responseText;\n          }\n        });\n        xhr.overrideMimeType('text/plain');\n        xhr.send();\n      }\n      catch (e) {\n        throw $$($nesting, 'IOError').$new('Error reading file or directory: ' + path + '; reason: ' + e.message);\n      }\n      // assume that no data in local file mode means it doesn't exist\n      if (status === 404 || (status === 0 && !data)) {\n        throw $$($nesting, 'IOError').$new('No such file or directory: ' + path);\n      }\n      return data;\n    \n    }, TMP_File_read_1.$$arity = 1), nil) && 'read'\n  })($nesting[0], null, $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/js/opal_ext/browser\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice;\n\n  Opal.add_stubs(['$require']);\n  \n  \n  var platform, engine, framework, ioModule;\n\n  if (typeof moduleConfig === 'object' && typeof moduleConfig.runtime === 'object') {\n    var runtime = moduleConfig.runtime;\n    platform = runtime.platform;\n    engine = runtime.engine;\n    framework = runtime.framework;\n    ioModule = runtime.ioModule;\n  }\n  ioModule = ioModule || 'xmlhttprequest';\n  platform = platform || 'browser';\n  engine = engine || '';\n  framework = framework || '';\n;\n  Opal.const_set($nesting[0], 'JAVASCRIPT_IO_MODULE', ioModule);\n  Opal.const_set($nesting[0], 'JAVASCRIPT_PLATFORM', platform);\n  Opal.const_set($nesting[0], 'JAVASCRIPT_ENGINE', engine);\n  Opal.const_set($nesting[0], 'JAVASCRIPT_FRAMEWORK', framework);\n  return self.$require(\"asciidoctor/js/opal_ext/browser/file\");\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"set\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  function $rb_le(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs <= rhs : lhs['$<='](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $hash2 = Opal.hash2, $truthy = Opal.truthy, $send = Opal.send, $module = Opal.module;\n\n  Opal.add_stubs(['$include', '$new', '$nil?', '$===', '$raise', '$each', '$add', '$merge', '$class', '$respond_to?', '$subtract', '$dup', '$join', '$to_a', '$equal?', '$instance_of?', '$==', '$instance_variable_get', '$is_a?', '$size', '$all?', '$include?', '$[]=', '$-', '$enum_for', '$[]', '$<<', '$replace', '$delete', '$select', '$each_key', '$to_proc', '$empty?', '$eql?', '$instance_eval', '$clear', '$<', '$<=', '$keys']);\n  \n  (function($base, $super, $parent_nesting) {\n    function $Set(){};\n    var self = $Set = $klass($base, $super, 'Set', $Set);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Set_$$_1, TMP_Set_initialize_2, TMP_Set_dup_4, TMP_Set_$_5, TMP_Set_inspect_6, TMP_Set_$eq$eq_8, TMP_Set_add_9, TMP_Set_classify_10, TMP_Set_collect$B_13, TMP_Set_delete_15, TMP_Set_delete$q_16, TMP_Set_delete_if_17, TMP_Set_add$q_20, TMP_Set_each_21, TMP_Set_empty$q_22, TMP_Set_eql$q_24, TMP_Set_clear_25, TMP_Set_include$q_26, TMP_Set_merge_28, TMP_Set_replace_29, TMP_Set_size_30, TMP_Set_subtract_32, TMP_Set_$_33, TMP_Set_superset$q_35, TMP_Set_proper_superset$q_37, TMP_Set_subset$q_39, TMP_Set_proper_subset$q_41, TMP_Set_to_a_42;\n\n    def.hash = nil;\n    \n    self.$include($$($nesting, 'Enumerable'));\n    Opal.defs(self, '$[]', TMP_Set_$$_1 = function($a_rest) {\n      var self = this, ary;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 0;\n      if ($rest_len < 0) { $rest_len = 0; }\n      ary = new Array($rest_len);\n      for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n        ary[$arg_idx - 0] = arguments[$arg_idx];\n      }\n      return self.$new(ary)\n    }, TMP_Set_$$_1.$$arity = -1);\n    \n    Opal.def(self, '$initialize', TMP_Set_initialize_2 = function $$initialize(enum$) {\n      var TMP_3, self = this, $iter = TMP_Set_initialize_2.$$p, block = $iter || nil;\n\n      if (enum$ == null) {\n        enum$ = nil;\n      }\n      if ($iter) TMP_Set_initialize_2.$$p = null;\n      \n      self.hash = $hash2([], {});\n      if ($truthy(enum$['$nil?']())) {\n        return nil};\n      if ($truthy($$($nesting, 'Enumerable')['$==='](enum$))) {\n      } else {\n        self.$raise($$($nesting, 'ArgumentError'), \"value must be enumerable\")\n      };\n      if ($truthy(block)) {\n        return $send(enum$, 'each', [], (TMP_3 = function(item){var self = TMP_3.$$s || this;\nif (item == null) item = nil;\n        return self.$add(Opal.yield1(block, item))}, TMP_3.$$s = self, TMP_3.$$arity = 1, TMP_3))\n      } else {\n        return self.$merge(enum$)\n      };\n    }, TMP_Set_initialize_2.$$arity = -1);\n    \n    Opal.def(self, '$dup', TMP_Set_dup_4 = function $$dup() {\n      var self = this, result = nil;\n\n      \n      result = self.$class().$new();\n      return result.$merge(self);\n    }, TMP_Set_dup_4.$$arity = 0);\n    \n    Opal.def(self, '$-', TMP_Set_$_5 = function(enum$) {\n      var self = this;\n\n      \n      if ($truthy(enum$['$respond_to?'](\"each\"))) {\n      } else {\n        self.$raise($$($nesting, 'ArgumentError'), \"value must be enumerable\")\n      };\n      return self.$dup().$subtract(enum$);\n    }, TMP_Set_$_5.$$arity = 1);\n    Opal.alias(self, \"difference\", \"-\");\n    \n    Opal.def(self, '$inspect', TMP_Set_inspect_6 = function $$inspect() {\n      var self = this;\n\n      return \"\" + \"#<Set: {\" + (self.$to_a().$join(\",\")) + \"}>\"\n    }, TMP_Set_inspect_6.$$arity = 0);\n    \n    Opal.def(self, '$==', TMP_Set_$eq$eq_8 = function(other) {\n      var $a, TMP_7, self = this;\n\n      if ($truthy(self['$equal?'](other))) {\n        return true\n      } else if ($truthy(other['$instance_of?'](self.$class()))) {\n        return self.hash['$=='](other.$instance_variable_get(\"@hash\"))\n      } else if ($truthy(($truthy($a = other['$is_a?']($$($nesting, 'Set'))) ? self.$size()['$=='](other.$size()) : $a))) {\n        return $send(other, 'all?', [], (TMP_7 = function(o){var self = TMP_7.$$s || this;\n          if (self.hash == null) self.hash = nil;\nif (o == null) o = nil;\n        return self.hash['$include?'](o)}, TMP_7.$$s = self, TMP_7.$$arity = 1, TMP_7))\n      } else {\n        return false\n      }\n    }, TMP_Set_$eq$eq_8.$$arity = 1);\n    \n    Opal.def(self, '$add', TMP_Set_add_9 = function $$add(o) {\n      var self = this, $writer = nil;\n\n      \n      \n      $writer = [o, true];\n      $send(self.hash, '[]=', Opal.to_a($writer));\n      $writer[$rb_minus($writer[\"length\"], 1)];;\n      return self;\n    }, TMP_Set_add_9.$$arity = 1);\n    Opal.alias(self, \"<<\", \"add\");\n    \n    Opal.def(self, '$classify', TMP_Set_classify_10 = function $$classify() {\n      var TMP_11, TMP_12, self = this, $iter = TMP_Set_classify_10.$$p, block = $iter || nil, result = nil;\n\n      if ($iter) TMP_Set_classify_10.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return self.$enum_for(\"classify\")\n      };\n      result = $send($$($nesting, 'Hash'), 'new', [], (TMP_11 = function(h, k){var self = TMP_11.$$s || this, $writer = nil;\nif (h == null) h = nil;if (k == null) k = nil;\n      \n        $writer = [k, self.$class().$new()];\n        $send(h, '[]=', Opal.to_a($writer));\n        return $writer[$rb_minus($writer[\"length\"], 1)];}, TMP_11.$$s = self, TMP_11.$$arity = 2, TMP_11));\n      $send(self, 'each', [], (TMP_12 = function(item){var self = TMP_12.$$s || this;\nif (item == null) item = nil;\n      return result['$[]'](Opal.yield1(block, item)).$add(item)}, TMP_12.$$s = self, TMP_12.$$arity = 1, TMP_12));\n      return result;\n    }, TMP_Set_classify_10.$$arity = 0);\n    \n    Opal.def(self, '$collect!', TMP_Set_collect$B_13 = function() {\n      var TMP_14, self = this, $iter = TMP_Set_collect$B_13.$$p, block = $iter || nil, result = nil;\n\n      if ($iter) TMP_Set_collect$B_13.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return self.$enum_for(\"collect!\")\n      };\n      result = self.$class().$new();\n      $send(self, 'each', [], (TMP_14 = function(item){var self = TMP_14.$$s || this;\nif (item == null) item = nil;\n      return result['$<<'](Opal.yield1(block, item))}, TMP_14.$$s = self, TMP_14.$$arity = 1, TMP_14));\n      return self.$replace(result);\n    }, TMP_Set_collect$B_13.$$arity = 0);\n    Opal.alias(self, \"map!\", \"collect!\");\n    \n    Opal.def(self, '$delete', TMP_Set_delete_15 = function(o) {\n      var self = this;\n\n      \n      self.hash.$delete(o);\n      return self;\n    }, TMP_Set_delete_15.$$arity = 1);\n    \n    Opal.def(self, '$delete?', TMP_Set_delete$q_16 = function(o) {\n      var self = this;\n\n      if ($truthy(self['$include?'](o))) {\n        \n        self.$delete(o);\n        return self;\n      } else {\n        return nil\n      }\n    }, TMP_Set_delete$q_16.$$arity = 1);\n    \n    Opal.def(self, '$delete_if', TMP_Set_delete_if_17 = function $$delete_if() {\n      var TMP_18, TMP_19, self = this, $iter = TMP_Set_delete_if_17.$$p, $yield = $iter || nil;\n\n      if ($iter) TMP_Set_delete_if_17.$$p = null;\n      \n      if (($yield !== nil)) {\n      } else {\n        return self.$enum_for(\"delete_if\")\n      };\n      $send($send(self, 'select', [], (TMP_18 = function(o){var self = TMP_18.$$s || this;\nif (o == null) o = nil;\n      return Opal.yield1($yield, o);}, TMP_18.$$s = self, TMP_18.$$arity = 1, TMP_18)), 'each', [], (TMP_19 = function(o){var self = TMP_19.$$s || this;\n        if (self.hash == null) self.hash = nil;\nif (o == null) o = nil;\n      return self.hash.$delete(o)}, TMP_19.$$s = self, TMP_19.$$arity = 1, TMP_19));\n      return self;\n    }, TMP_Set_delete_if_17.$$arity = 0);\n    \n    Opal.def(self, '$add?', TMP_Set_add$q_20 = function(o) {\n      var self = this;\n\n      if ($truthy(self['$include?'](o))) {\n        return nil\n      } else {\n        return self.$add(o)\n      }\n    }, TMP_Set_add$q_20.$$arity = 1);\n    \n    Opal.def(self, '$each', TMP_Set_each_21 = function $$each() {\n      var self = this, $iter = TMP_Set_each_21.$$p, block = $iter || nil;\n\n      if ($iter) TMP_Set_each_21.$$p = null;\n      \n      if ((block !== nil)) {\n      } else {\n        return self.$enum_for(\"each\")\n      };\n      $send(self.hash, 'each_key', [], block.$to_proc());\n      return self;\n    }, TMP_Set_each_21.$$arity = 0);\n    \n    Opal.def(self, '$empty?', TMP_Set_empty$q_22 = function() {\n      var self = this;\n\n      return self.hash['$empty?']()\n    }, TMP_Set_empty$q_22.$$arity = 0);\n    \n    Opal.def(self, '$eql?', TMP_Set_eql$q_24 = function(other) {\n      var TMP_23, self = this;\n\n      return self.hash['$eql?']($send(other, 'instance_eval', [], (TMP_23 = function(){var self = TMP_23.$$s || this;\n        if (self.hash == null) self.hash = nil;\n\n      return self.hash}, TMP_23.$$s = self, TMP_23.$$arity = 0, TMP_23)))\n    }, TMP_Set_eql$q_24.$$arity = 1);\n    \n    Opal.def(self, '$clear', TMP_Set_clear_25 = function $$clear() {\n      var self = this;\n\n      \n      self.hash.$clear();\n      return self;\n    }, TMP_Set_clear_25.$$arity = 0);\n    \n    Opal.def(self, '$include?', TMP_Set_include$q_26 = function(o) {\n      var self = this;\n\n      return self.hash['$include?'](o)\n    }, TMP_Set_include$q_26.$$arity = 1);\n    Opal.alias(self, \"member?\", \"include?\");\n    \n    Opal.def(self, '$merge', TMP_Set_merge_28 = function $$merge(enum$) {\n      var TMP_27, self = this;\n\n      \n      $send(enum$, 'each', [], (TMP_27 = function(item){var self = TMP_27.$$s || this;\nif (item == null) item = nil;\n      return self.$add(item)}, TMP_27.$$s = self, TMP_27.$$arity = 1, TMP_27));\n      return self;\n    }, TMP_Set_merge_28.$$arity = 1);\n    \n    Opal.def(self, '$replace', TMP_Set_replace_29 = function $$replace(enum$) {\n      var self = this;\n\n      \n      self.$clear();\n      self.$merge(enum$);\n      return self;\n    }, TMP_Set_replace_29.$$arity = 1);\n    \n    Opal.def(self, '$size', TMP_Set_size_30 = function $$size() {\n      var self = this;\n\n      return self.hash.$size()\n    }, TMP_Set_size_30.$$arity = 0);\n    Opal.alias(self, \"length\", \"size\");\n    \n    Opal.def(self, '$subtract', TMP_Set_subtract_32 = function $$subtract(enum$) {\n      var TMP_31, self = this;\n\n      \n      $send(enum$, 'each', [], (TMP_31 = function(item){var self = TMP_31.$$s || this;\nif (item == null) item = nil;\n      return self.$delete(item)}, TMP_31.$$s = self, TMP_31.$$arity = 1, TMP_31));\n      return self;\n    }, TMP_Set_subtract_32.$$arity = 1);\n    \n    Opal.def(self, '$|', TMP_Set_$_33 = function(enum$) {\n      var self = this;\n\n      \n      if ($truthy(enum$['$respond_to?'](\"each\"))) {\n      } else {\n        self.$raise($$($nesting, 'ArgumentError'), \"value must be enumerable\")\n      };\n      return self.$dup().$merge(enum$);\n    }, TMP_Set_$_33.$$arity = 1);\n    \n    Opal.def(self, '$superset?', TMP_Set_superset$q_35 = function(set) {\n      var $a, TMP_34, self = this;\n\n      \n      ($truthy($a = set['$is_a?']($$($nesting, 'Set'))) ? $a : self.$raise($$($nesting, 'ArgumentError'), \"value must be a set\"));\n      if ($truthy($rb_lt(self.$size(), set.$size()))) {\n        return false};\n      return $send(set, 'all?', [], (TMP_34 = function(o){var self = TMP_34.$$s || this;\nif (o == null) o = nil;\n      return self['$include?'](o)}, TMP_34.$$s = self, TMP_34.$$arity = 1, TMP_34));\n    }, TMP_Set_superset$q_35.$$arity = 1);\n    Opal.alias(self, \">=\", \"superset?\");\n    \n    Opal.def(self, '$proper_superset?', TMP_Set_proper_superset$q_37 = function(set) {\n      var $a, TMP_36, self = this;\n\n      \n      ($truthy($a = set['$is_a?']($$($nesting, 'Set'))) ? $a : self.$raise($$($nesting, 'ArgumentError'), \"value must be a set\"));\n      if ($truthy($rb_le(self.$size(), set.$size()))) {\n        return false};\n      return $send(set, 'all?', [], (TMP_36 = function(o){var self = TMP_36.$$s || this;\nif (o == null) o = nil;\n      return self['$include?'](o)}, TMP_36.$$s = self, TMP_36.$$arity = 1, TMP_36));\n    }, TMP_Set_proper_superset$q_37.$$arity = 1);\n    Opal.alias(self, \">\", \"proper_superset?\");\n    \n    Opal.def(self, '$subset?', TMP_Set_subset$q_39 = function(set) {\n      var $a, TMP_38, self = this;\n\n      \n      ($truthy($a = set['$is_a?']($$($nesting, 'Set'))) ? $a : self.$raise($$($nesting, 'ArgumentError'), \"value must be a set\"));\n      if ($truthy($rb_lt(set.$size(), self.$size()))) {\n        return false};\n      return $send(self, 'all?', [], (TMP_38 = function(o){var self = TMP_38.$$s || this;\nif (o == null) o = nil;\n      return set['$include?'](o)}, TMP_38.$$s = self, TMP_38.$$arity = 1, TMP_38));\n    }, TMP_Set_subset$q_39.$$arity = 1);\n    Opal.alias(self, \"<=\", \"subset?\");\n    \n    Opal.def(self, '$proper_subset?', TMP_Set_proper_subset$q_41 = function(set) {\n      var $a, TMP_40, self = this;\n\n      \n      ($truthy($a = set['$is_a?']($$($nesting, 'Set'))) ? $a : self.$raise($$($nesting, 'ArgumentError'), \"value must be a set\"));\n      if ($truthy($rb_le(set.$size(), self.$size()))) {\n        return false};\n      return $send(self, 'all?', [], (TMP_40 = function(o){var self = TMP_40.$$s || this;\nif (o == null) o = nil;\n      return set['$include?'](o)}, TMP_40.$$s = self, TMP_40.$$arity = 1, TMP_40));\n    }, TMP_Set_proper_subset$q_41.$$arity = 1);\n    Opal.alias(self, \"<\", \"proper_subset?\");\n    Opal.alias(self, \"+\", \"|\");\n    Opal.alias(self, \"union\", \"|\");\n    return (Opal.def(self, '$to_a', TMP_Set_to_a_42 = function $$to_a() {\n      var self = this;\n\n      return self.hash.$keys()\n    }, TMP_Set_to_a_42.$$arity = 0), nil) && 'to_a';\n  })($nesting[0], null, $nesting);\n  return (function($base, $parent_nesting) {\n    var $Enumerable, self = $Enumerable = $module($base, 'Enumerable');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Enumerable_to_set_43;\n\n    \n    Opal.def(self, '$to_set', TMP_Enumerable_to_set_43 = function $$to_set(klass, $a_rest) {\n      var self = this, args, $iter = TMP_Enumerable_to_set_43.$$p, block = $iter || nil;\n\n      if (klass == null) {\n        klass = $$($nesting, 'Set');\n      }\n      var $args_len = arguments.length, $rest_len = $args_len - 1;\n      if ($rest_len < 0) { $rest_len = 0; }\n      args = new Array($rest_len);\n      for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n        args[$arg_idx - 1] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Enumerable_to_set_43.$$p = null;\n      return $send(klass, 'new', [self].concat(Opal.to_a(args)), block.$to_proc())\n    }, TMP_Enumerable_to_set_43.$$arity = -1)\n  })($nesting[0], $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/js/opal_ext/file\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $send = Opal.send, $klass = Opal.klass, $truthy = Opal.truthy, $gvars = Opal.gvars;\n\n  Opal.add_stubs(['$new', '$attr_reader', '$delete', '$gsub', '$read', '$size', '$to_enum', '$chomp', '$each_line', '$readlines', '$split']);\n  \n  (function($base, $parent_nesting) {\n    var $Kernel, self = $Kernel = $module($base, 'Kernel');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Kernel_open_1;\n\n    \n    Opal.def(self, '$open', TMP_Kernel_open_1 = function $$open(path, $a_rest) {\n      var self = this, rest, $iter = TMP_Kernel_open_1.$$p, $yield = $iter || nil, file = nil;\n\n      var $args_len = arguments.length, $rest_len = $args_len - 1;\n      if ($rest_len < 0) { $rest_len = 0; }\n      rest = new Array($rest_len);\n      for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n        rest[$arg_idx - 1] = arguments[$arg_idx];\n      }\n      if ($iter) TMP_Kernel_open_1.$$p = null;\n      \n      file = $send($$($nesting, 'File'), 'new', [path].concat(Opal.to_a(rest)));\n      if (($yield !== nil)) {\n        return Opal.yield1($yield, file);\n      } else {\n        return file\n      };\n    }, TMP_Kernel_open_1.$$arity = -2)\n  })($nesting[0], $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $File(){};\n    var self = $File = $klass($base, $super, 'File', $File);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_File_initialize_2, TMP_File_read_3, TMP_File_each_line_4, TMP_File_readlines_5;\n\n    def.eof = def.path = nil;\n    \n    self.$attr_reader(\"eof\");\n    self.$attr_reader(\"lineno\");\n    self.$attr_reader(\"path\");\n    \n    Opal.def(self, '$initialize', TMP_File_initialize_2 = function $$initialize(path, flags) {\n      var self = this, encoding_flag_regexp = nil;\n\n      if (flags == null) {\n        flags = \"r\";\n      }\n      \n      self.path = path;\n      self.contents = nil;\n      self.eof = false;\n      self.lineno = 0;\n      flags = flags.$delete(\"b\");\n      encoding_flag_regexp = /:(.*)/;\n      flags = flags.$gsub(encoding_flag_regexp, \"\");\n      return (self.flags = flags);\n    }, TMP_File_initialize_2.$$arity = -2);\n    \n    Opal.def(self, '$read', TMP_File_read_3 = function $$read() {\n      var self = this, res = nil;\n\n      if ($truthy(self.eof)) {\n        return \"\"\n      } else {\n        \n        res = $$($nesting, 'File').$read(self.path);\n        self.eof = true;\n        self.lineno = res.$size();\n        return res;\n      }\n    }, TMP_File_read_3.$$arity = 0);\n    \n    Opal.def(self, '$each_line', TMP_File_each_line_4 = function $$each_line(separator) {\n      var self = this, $iter = TMP_File_each_line_4.$$p, block = $iter || nil, lines = nil;\n      if ($gvars[\"/\"] == null) $gvars[\"/\"] = nil;\n\n      if (separator == null) {\n        separator = $gvars[\"/\"];\n      }\n      if ($iter) TMP_File_each_line_4.$$p = null;\n      \n      if ($truthy(self.eof)) {\n        return (function() {if ((block !== nil)) {\n          return self\n        } else {\n          return [].$to_enum()\n        }; return nil; })()};\n      if ((block !== nil)) {\n        \n        lines = $$($nesting, 'File').$read(self.path);\n        \n        self.eof = false;\n        self.lineno = 0;\n        var chomped  = lines.$chomp(),\n            trailing = lines.length != chomped.length,\n            splitted = chomped.split(separator);\n        for (var i = 0, length = splitted.length; i < length; i++) {\n          self.lineno += 1;\n          if (i < length - 1 || trailing) {\n            Opal.yield1(block, splitted[i] + separator);\n          }\n          else {\n            Opal.yield1(block, splitted[i]);\n          }\n        }\n        self.eof = true;\n      ;\n        return self;\n      } else {\n        return self.$read().$each_line()\n      };\n    }, TMP_File_each_line_4.$$arity = -1);\n    \n    Opal.def(self, '$readlines', TMP_File_readlines_5 = function $$readlines() {\n      var self = this;\n\n      return $$($nesting, 'File').$readlines(self.path)\n    }, TMP_File_readlines_5.$$arity = 0);\n    return (function(self, $parent_nesting) {\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_readlines_6, TMP_file$q_7, TMP_readable$q_8, TMP_read_9;\n\n      \n      \n      Opal.def(self, '$readlines', TMP_readlines_6 = function $$readlines(path, separator) {\n        var self = this, content = nil;\n        if ($gvars[\"/\"] == null) $gvars[\"/\"] = nil;\n\n        if (separator == null) {\n          separator = $gvars[\"/\"];\n        }\n        \n        content = $$($nesting, 'File').$read(path);\n        return content.$split(separator);\n      }, TMP_readlines_6.$$arity = -2);\n      \n      Opal.def(self, '$file?', TMP_file$q_7 = function(path) {\n        var self = this;\n\n        return true\n      }, TMP_file$q_7.$$arity = 1);\n      \n      Opal.def(self, '$readable?', TMP_readable$q_8 = function(path) {\n        var self = this;\n\n        return true\n      }, TMP_readable$q_8.$$arity = 1);\n      return (Opal.def(self, '$read', TMP_read_9 = function $$read(path) {\n        var self = this;\n\n        return \"\"\n      }, TMP_read_9.$$arity = 1), nil) && 'read';\n    })(Opal.get_singleton_class(self), $nesting);\n  })($nesting[0], null, $nesting);\n  return (function($base, $super, $parent_nesting) {\n    function $IO(){};\n    var self = $IO = $klass($base, $super, 'IO', $IO);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_IO_read_10;\n\n    return (Opal.defs(self, '$read', TMP_IO_read_10 = function $$read(path) {\n      var self = this;\n\n      return $$($nesting, 'File').$read(path)\n    }, TMP_IO_read_10.$$arity = 1), nil) && 'read'\n  })($nesting[0], null, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/js/opal_ext/match_data\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $send = Opal.send;\n\n  Opal.add_stubs(['$[]=', '$-']);\n  return (function($base, $super, $parent_nesting) {\n    function $MatchData(){};\n    var self = $MatchData = $klass($base, $super, 'MatchData', $MatchData);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_MatchData_$$$eq_1;\n\n    def.matches = nil;\n    return (Opal.def(self, '$[]=', TMP_MatchData_$$$eq_1 = function(idx, val) {\n      var self = this, $writer = nil;\n\n      \n      $writer = [idx, val];\n      $send(self.matches, '[]=', Opal.to_a($writer));\n      return $writer[$rb_minus($writer[\"length\"], 1)];\n    }, TMP_MatchData_$$$eq_1.$$arity = 2), nil) && '[]='\n  })($nesting[0], null, $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/js/opal_ext/kernel\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module;\n\n  return (function($base, $parent_nesting) {\n    var $Kernel, self = $Kernel = $module($base, 'Kernel');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Kernel_freeze_1;\n\n    \n    Opal.def(self, '$freeze', TMP_Kernel_freeze_1 = function $$freeze() {\n      var self = this;\n\n      return self\n    }, TMP_Kernel_freeze_1.$$arity = 0)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/js/opal_ext/thread_safe\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass;\n\n  return (function($base, $parent_nesting) {\n    var $ThreadSafe, self = $ThreadSafe = $module($base, 'ThreadSafe');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $Cache(){};\n      var self = $Cache = $klass($base, $super, 'Cache', $Cache);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n      return nil\n    })($nesting[0], $$$('::', 'Hash'), $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/js/opal_ext/string\"] = function(Opal) {\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy, $send = Opal.send;\n\n  Opal.add_stubs(['$method_defined?', '$<', '$length', '$bytes', '$to_s', '$byteslice', '$==', '$with_index', '$select', '$[]', '$even?', '$_original_unpack']);\n  return (function($base, $super, $parent_nesting) {\n    function $String(){};\n    var self = $String = $klass($base, $super, 'String', $String);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_String_limit_bytesize_1, TMP_String_unpack_3;\n\n    \n    if ($truthy(self['$method_defined?'](\"limit_bytesize\"))) {\n    } else {\n      \n      Opal.def(self, '$limit_bytesize', TMP_String_limit_bytesize_1 = function $$limit_bytesize(size) {\n        var self = this, result = nil;\n\n        \n        if ($truthy($rb_lt(size, self.$bytes().$length()))) {\n        } else {\n          return self.$to_s()\n        };\n        result = self.$byteslice(0, size);\n        return result.$to_s();\n      }, TMP_String_limit_bytesize_1.$$arity = 1)\n    };\n    if ($truthy(self['$method_defined?'](\"limit\"))) {\n    } else {\n      Opal.alias(self, \"limit\", \"limit_bytesize\")\n    };\n    Opal.alias(self, \"_original_unpack\", \"unpack\");\n    return (Opal.def(self, '$unpack', TMP_String_unpack_3 = function $$unpack(format) {\n      var TMP_2, self = this;\n\n      if (format['$=='](\"C3\")) {\n        return $send(self['$[]'](0, 3).$bytes().$select(), 'with_index', [], (TMP_2 = function(_, i){var self = TMP_2.$$s || this;\nif (_ == null) _ = nil;if (i == null) i = nil;\n        return i['$even?']()}, TMP_2.$$s = self, TMP_2.$$arity = 2, TMP_2))\n      } else {\n        return self.$_original_unpack(format)\n      }\n    }, TMP_String_unpack_3.$$arity = 1), nil) && 'unpack';\n  })($nesting[0], null, $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/js/opal_ext/uri\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module;\n\n  Opal.add_stubs(['$extend']);\n  return (function($base, $parent_nesting) {\n    var $URI, self = $URI = $module($base, 'URI');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_URI_parse_1, TMP_URI_path_2;\n\n    \n    Opal.defs(self, '$parse', TMP_URI_parse_1 = function $$parse(str) {\n      var self = this;\n\n      return str.$extend($$($nesting, 'URI'))\n    }, TMP_URI_parse_1.$$arity = 1);\n    \n    Opal.def(self, '$path', TMP_URI_path_2 = function $$path() {\n      var self = this;\n\n      return self\n    }, TMP_URI_path_2.$$arity = 0);\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/js/opal_ext\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice;\n\n  Opal.add_stubs(['$require']);\n  \n  self.$require(\"asciidoctor/js/opal_ext/file\");\n  self.$require(\"asciidoctor/js/opal_ext/match_data\");\n  self.$require(\"asciidoctor/js/opal_ext/kernel\");\n  self.$require(\"asciidoctor/js/opal_ext/thread_safe\");\n  self.$require(\"asciidoctor/js/opal_ext/string\");\n  self.$require(\"asciidoctor/js/opal_ext/uri\");\n  \n// Load specific implementation\nself.$require(\"asciidoctor/js/opal_ext/browser\");\n;\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/js/rx\"] = function(Opal) {\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $send = Opal.send, $gvars = Opal.gvars, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$gsub', '$+', '$unpack_hex_range']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Asciidoctor_unpack_hex_range_2;\n\n    \n    Opal.const_set($nesting[0], 'HEX_RANGE_RX', /([A-F0-9]{4})(?:-([A-F0-9]{4}))?/);\n    Opal.defs(self, '$unpack_hex_range', TMP_Asciidoctor_unpack_hex_range_2 = function $$unpack_hex_range(str) {\n      var TMP_1, self = this;\n\n      return $send(str, 'gsub', [$$($nesting, 'HEX_RANGE_RX')], (TMP_1 = function(){var self = TMP_1.$$s || this, $a, $b;\n\n      return \"\" + \"\\\\u\" + ((($a = $gvars['~']) === nil ? nil : $a['$[]'](1))) + (($truthy($a = (($b = $gvars['~']) === nil ? nil : $b['$[]'](2))) ? \"\" + \"-\\\\u\" + ((($b = $gvars['~']) === nil ? nil : $b['$[]'](2))) : $a))}, TMP_1.$$s = self, TMP_1.$$arity = 0, TMP_1))\n    }, TMP_Asciidoctor_unpack_hex_range_2.$$arity = 1);\n    Opal.const_set($nesting[0], 'P_L', $rb_plus(\"A-Za-z\", self.$unpack_hex_range(\"00AA00B500BA00C0-00D600D8-00F600F8-02C102C6-02D102E0-02E402EC02EE0370-037403760377037A-037D037F03860388-038A038C038E-03A103A3-03F503F7-0481048A-052F0531-055605590561-058705D0-05EA05F0-05F20620-064A066E066F0671-06D306D506E506E606EE06EF06FA-06FC06FF07100712-072F074D-07A507B107CA-07EA07F407F507FA0800-0815081A082408280840-085808A0-08B20904-0939093D09500958-09610971-09800985-098C098F09900993-09A809AA-09B009B209B6-09B909BD09CE09DC09DD09DF-09E109F009F10A05-0A0A0A0F0A100A13-0A280A2A-0A300A320A330A350A360A380A390A59-0A5C0A5E0A72-0A740A85-0A8D0A8F-0A910A93-0AA80AAA-0AB00AB20AB30AB5-0AB90ABD0AD00AE00AE10B05-0B0C0B0F0B100B13-0B280B2A-0B300B320B330B35-0B390B3D0B5C0B5D0B5F-0B610B710B830B85-0B8A0B8E-0B900B92-0B950B990B9A0B9C0B9E0B9F0BA30BA40BA8-0BAA0BAE-0BB90BD00C05-0C0C0C0E-0C100C12-0C280C2A-0C390C3D0C580C590C600C610C85-0C8C0C8E-0C900C92-0CA80CAA-0CB30CB5-0CB90CBD0CDE0CE00CE10CF10CF20D05-0D0C0D0E-0D100D12-0D3A0D3D0D4E0D600D610D7A-0D7F0D85-0D960D9A-0DB10DB3-0DBB0DBD0DC0-0DC60E01-0E300E320E330E40-0E460E810E820E840E870E880E8A0E8D0E94-0E970E99-0E9F0EA1-0EA30EA50EA70EAA0EAB0EAD-0EB00EB20EB30EBD0EC0-0EC40EC60EDC-0EDF0F000F40-0F470F49-0F6C0F88-0F8C1000-102A103F1050-1055105A-105D106110651066106E-10701075-1081108E10A0-10C510C710CD10D0-10FA10FC-1248124A-124D1250-12561258125A-125D1260-1288128A-128D1290-12B012B2-12B512B8-12BE12C012C2-12C512C8-12D612D8-13101312-13151318-135A1380-138F13A0-13F41401-166C166F-167F1681-169A16A0-16EA16F1-16F81700-170C170E-17111720-17311740-17511760-176C176E-17701780-17B317D717DC1820-18771880-18A818AA18B0-18F51900-191E1950-196D1970-19741980-19AB19C1-19C71A00-1A161A20-1A541AA71B05-1B331B45-1B4B1B83-1BA01BAE1BAF1BBA-1BE51C00-1C231C4D-1C4F1C5A-1C7D1CE9-1CEC1CEE-1CF11CF51CF61D00-1DBF1E00-1F151F18-1F1D1F20-1F451F48-1F4D1F50-1F571F591F5B1F5D1F5F-1F7D1F80-1FB41FB6-1FBC1FBE1FC2-1FC41FC6-1FCC1FD0-1FD31FD6-1FDB1FE0-1FEC1FF2-1FF41FF6-1FFC2071207F2090-209C21022107210A-211321152119-211D212421262128212A-212D212F-2139213C-213F2145-2149214E218321842C00-2C2E2C30-2C5E2C60-2CE42CEB-2CEE2CF22CF32D00-2D252D272D2D2D30-2D672D6F2D80-2D962DA0-2DA62DA8-2DAE2DB0-2DB62DB8-2DBE2DC0-2DC62DC8-2DCE2DD0-2DD62DD8-2DDE2E2F300530063031-3035303B303C3041-3096309D-309F30A1-30FA30FC-30FF3105-312D3131-318E31A0-31BA31F0-31FF3400-4DB54E00-9FCCA000-A48CA4D0-A4FDA500-A60CA610-A61FA62AA62BA640-A66EA67F-A69DA6A0-A6E5A717-A71FA722-A788A78B-A78EA790-A7ADA7B0A7B1A7F7-A801A803-A805A807-A80AA80C-A822A840-A873A882-A8B3A8F2-A8F7A8FBA90A-A925A930-A946A960-A97CA984-A9B2A9CFA9E0-A9E4A9E6-A9EFA9FA-A9FEAA00-AA28AA40-AA42AA44-AA4BAA60-AA76AA7AAA7E-AAAFAAB1AAB5AAB6AAB9-AABDAAC0AAC2AADB-AADDAAE0-AAEAAAF2-AAF4AB01-AB06AB09-AB0EAB11-AB16AB20-AB26AB28-AB2EAB30-AB5AAB5C-AB5FAB64AB65ABC0-ABE2AC00-D7A3D7B0-D7C6D7CB-D7FBF900-FA6DFA70-FAD9FB00-FB06FB13-FB17FB1DFB1F-FB28FB2A-FB36FB38-FB3CFB3EFB40FB41FB43FB44FB46-FBB1FBD3-FD3DFD50-FD8FFD92-FDC7FDF0-FDFBFE70-FE74FE76-FEFCFF21-FF3AFF41-FF5AFF66-FFBEFFC2-FFC7FFCA-FFCFFFD2-FFD7FFDA-FFDC\")));\n    Opal.const_set($nesting[0], 'P_Nl', self.$unpack_hex_range(\"16EE-16F02160-21822185-218830073021-30293038-303AA6E6-A6EF\"));\n    Opal.const_set($nesting[0], 'P_Nd', $rb_plus(\"0-9\", self.$unpack_hex_range(\"0660-066906F0-06F907C0-07C90966-096F09E6-09EF0A66-0A6F0AE6-0AEF0B66-0B6F0BE6-0BEF0C66-0C6F0CE6-0CEF0D66-0D6F0DE6-0DEF0E50-0E590ED0-0ED90F20-0F291040-10491090-109917E0-17E91810-18191946-194F19D0-19D91A80-1A891A90-1A991B50-1B591BB0-1BB91C40-1C491C50-1C59A620-A629A8D0-A8D9A900-A909A9D0-A9D9A9F0-A9F9AA50-AA59ABF0-ABF9FF10-FF19\")));\n    Opal.const_set($nesting[0], 'P_Pc', self.$unpack_hex_range(\"005F203F20402054FE33FE34FE4D-FE4FFF3F\"));\n    Opal.const_set($nesting[0], 'CC_ALPHA', \"\" + ($$($nesting, 'P_L')) + ($$($nesting, 'P_Nl')));\n    Opal.const_set($nesting[0], 'CG_ALPHA', \"\" + \"[\" + ($$($nesting, 'CC_ALPHA')) + \"]\");\n    Opal.const_set($nesting[0], 'CC_ALNUM', \"\" + ($$($nesting, 'CC_ALPHA')) + ($$($nesting, 'P_Nd')));\n    Opal.const_set($nesting[0], 'CG_ALNUM', \"\" + \"[\" + ($$($nesting, 'CC_ALNUM')) + \"]\");\n    Opal.const_set($nesting[0], 'CC_WORD', \"\" + ($$($nesting, 'CC_ALNUM')) + ($$($nesting, 'P_Pc')));\n    Opal.const_set($nesting[0], 'CG_WORD', \"\" + \"[\" + ($$($nesting, 'CC_WORD')) + \"]\");\n    Opal.const_set($nesting[0], 'CG_BLANK', \"[ \\\\t]\");\n    Opal.const_set($nesting[0], 'CC_EOL', \"(?=\\\\n|$)\");\n    Opal.const_set($nesting[0], 'CG_GRAPH', \"[^\\\\s\\\\x00-\\\\x1F\\\\x7F]\");\n    Opal.const_set($nesting[0], 'CC_ALL', \"[\\\\s\\\\S]\");\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"strscan\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $send = Opal.send;\n\n  Opal.add_stubs(['$attr_reader', '$anchor', '$scan_until', '$length', '$size', '$rest', '$pos=', '$-', '$private']);\n  return (function($base, $super, $parent_nesting) {\n    function $StringScanner(){};\n    var self = $StringScanner = $klass($base, $super, 'StringScanner', $StringScanner);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_StringScanner_initialize_1, TMP_StringScanner_beginning_of_line$q_2, TMP_StringScanner_scan_3, TMP_StringScanner_scan_until_4, TMP_StringScanner_$$_5, TMP_StringScanner_check_6, TMP_StringScanner_check_until_7, TMP_StringScanner_peek_8, TMP_StringScanner_eos$q_9, TMP_StringScanner_exist$q_10, TMP_StringScanner_skip_11, TMP_StringScanner_skip_until_12, TMP_StringScanner_get_byte_13, TMP_StringScanner_match$q_14, TMP_StringScanner_pos$eq_15, TMP_StringScanner_matched_size_16, TMP_StringScanner_post_match_17, TMP_StringScanner_pre_match_18, TMP_StringScanner_reset_19, TMP_StringScanner_rest_20, TMP_StringScanner_rest$q_21, TMP_StringScanner_rest_size_22, TMP_StringScanner_terminate_23, TMP_StringScanner_unscan_24, TMP_StringScanner_anchor_25;\n\n    def.pos = def.string = def.working = def.matched = def.prev_pos = def.match = nil;\n    \n    self.$attr_reader(\"pos\");\n    self.$attr_reader(\"matched\");\n    \n    Opal.def(self, '$initialize', TMP_StringScanner_initialize_1 = function $$initialize(string) {\n      var self = this;\n\n      \n      self.string = string;\n      self.pos = 0;\n      self.matched = nil;\n      self.working = string;\n      return (self.match = []);\n    }, TMP_StringScanner_initialize_1.$$arity = 1);\n    self.$attr_reader(\"string\");\n    \n    Opal.def(self, '$beginning_of_line?', TMP_StringScanner_beginning_of_line$q_2 = function() {\n      var self = this;\n\n      return self.pos === 0 || self.string.charAt(self.pos - 1) === \"\\n\"\n    }, TMP_StringScanner_beginning_of_line$q_2.$$arity = 0);\n    Opal.alias(self, \"bol?\", \"beginning_of_line?\");\n    \n    Opal.def(self, '$scan', TMP_StringScanner_scan_3 = function $$scan(pattern) {\n      var self = this;\n\n      \n      pattern = self.$anchor(pattern);\n      \n      var result = pattern.exec(self.working);\n\n      if (result == null) {\n        return self.matched = nil;\n      }\n      else if (typeof(result) === 'object') {\n        self.prev_pos = self.pos;\n        self.pos     += result[0].length;\n        self.working  = self.working.substring(result[0].length);\n        self.matched  = result[0];\n        self.match    = result;\n\n        return result[0];\n      }\n      else if (typeof(result) === 'string') {\n        self.pos     += result.length;\n        self.working  = self.working.substring(result.length);\n\n        return result;\n      }\n      else {\n        return nil;\n      }\n    ;\n    }, TMP_StringScanner_scan_3.$$arity = 1);\n    \n    Opal.def(self, '$scan_until', TMP_StringScanner_scan_until_4 = function $$scan_until(pattern) {\n      var self = this;\n\n      \n      pattern = self.$anchor(pattern);\n      \n      var pos     = self.pos,\n          working = self.working,\n          result;\n\n      while (true) {\n        result   = pattern.exec(working);\n        pos     += 1;\n        working  = working.substr(1);\n\n        if (result == null) {\n          if (working.length === 0) {\n            return self.matched = nil;\n          }\n\n          continue;\n        }\n\n        self.matched  = self.string.substr(self.pos, pos - self.pos - 1 + result[0].length);\n        self.prev_pos = pos - 1;\n        self.pos      = pos;\n        self.working  = working.substr(result[0].length);\n\n        return self.matched;\n      }\n    ;\n    }, TMP_StringScanner_scan_until_4.$$arity = 1);\n    \n    Opal.def(self, '$[]', TMP_StringScanner_$$_5 = function(idx) {\n      var self = this;\n\n      \n      var match = self.match;\n\n      if (idx < 0) {\n        idx += match.length;\n      }\n\n      if (idx < 0 || idx >= match.length) {\n        return nil;\n      }\n\n      if (match[idx] == null) {\n        return nil;\n      }\n\n      return match[idx];\n    \n    }, TMP_StringScanner_$$_5.$$arity = 1);\n    \n    Opal.def(self, '$check', TMP_StringScanner_check_6 = function $$check(pattern) {\n      var self = this;\n\n      \n      pattern = self.$anchor(pattern);\n      \n      var result = pattern.exec(self.working);\n\n      if (result == null) {\n        return self.matched = nil;\n      }\n\n      return self.matched = result[0];\n    ;\n    }, TMP_StringScanner_check_6.$$arity = 1);\n    \n    Opal.def(self, '$check_until', TMP_StringScanner_check_until_7 = function $$check_until(pattern) {\n      var self = this;\n\n      \n      var prev_pos = self.prev_pos,\n          pos      = self.pos;\n\n      var result = self.$scan_until(pattern);\n\n      if (result !== nil) {\n        self.matched = result.substr(-1);\n        self.working = self.string.substr(pos);\n      }\n\n      self.prev_pos = prev_pos;\n      self.pos      = pos;\n\n      return result;\n    \n    }, TMP_StringScanner_check_until_7.$$arity = 1);\n    \n    Opal.def(self, '$peek', TMP_StringScanner_peek_8 = function $$peek(length) {\n      var self = this;\n\n      return self.working.substring(0, length)\n    }, TMP_StringScanner_peek_8.$$arity = 1);\n    \n    Opal.def(self, '$eos?', TMP_StringScanner_eos$q_9 = function() {\n      var self = this;\n\n      return self.working.length === 0\n    }, TMP_StringScanner_eos$q_9.$$arity = 0);\n    \n    Opal.def(self, '$exist?', TMP_StringScanner_exist$q_10 = function(pattern) {\n      var self = this;\n\n      \n      var result = pattern.exec(self.working);\n\n      if (result == null) {\n        return nil;\n      }\n      else if (result.index == 0) {\n        return 0;\n      }\n      else {\n        return result.index + 1;\n      }\n    \n    }, TMP_StringScanner_exist$q_10.$$arity = 1);\n    \n    Opal.def(self, '$skip', TMP_StringScanner_skip_11 = function $$skip(pattern) {\n      var self = this;\n\n      \n      pattern = self.$anchor(pattern);\n      \n      var result = pattern.exec(self.working);\n\n      if (result == null) {\n        return self.matched = nil;\n      }\n      else {\n        var match_str = result[0];\n        var match_len = match_str.length;\n\n        self.matched   = match_str;\n        self.prev_pos  = self.pos;\n        self.pos      += match_len;\n        self.working   = self.working.substring(match_len);\n\n        return match_len;\n      }\n    ;\n    }, TMP_StringScanner_skip_11.$$arity = 1);\n    \n    Opal.def(self, '$skip_until', TMP_StringScanner_skip_until_12 = function $$skip_until(pattern) {\n      var self = this;\n\n      \n      var result = self.$scan_until(pattern);\n\n      if (result === nil) {\n        return nil;\n      }\n      else {\n        self.matched = result.substr(-1);\n\n        return result.length;\n      }\n    \n    }, TMP_StringScanner_skip_until_12.$$arity = 1);\n    \n    Opal.def(self, '$get_byte', TMP_StringScanner_get_byte_13 = function $$get_byte() {\n      var self = this;\n\n      \n      var result = nil;\n\n      if (self.pos < self.string.length) {\n        self.prev_pos  = self.pos;\n        self.pos      += 1;\n        result      = self.matched = self.working.substring(0, 1);\n        self.working   = self.working.substring(1);\n      }\n      else {\n        self.matched = nil;\n      }\n\n      return result;\n    \n    }, TMP_StringScanner_get_byte_13.$$arity = 0);\n    Opal.alias(self, \"getch\", \"get_byte\");\n    \n    Opal.def(self, '$match?', TMP_StringScanner_match$q_14 = function(pattern) {\n      var self = this;\n\n      \n      pattern = self.$anchor(pattern);\n      \n      var result = pattern.exec(self.working);\n\n      if (result == null) {\n        return nil;\n      }\n      else {\n        self.prev_pos = self.pos;\n\n        return result[0].length;\n      }\n    ;\n    }, TMP_StringScanner_match$q_14.$$arity = 1);\n    \n    Opal.def(self, '$pos=', TMP_StringScanner_pos$eq_15 = function(pos) {\n      var self = this;\n\n      \n      \n      if (pos < 0) {\n        pos += self.string.$length();\n      }\n    ;\n      self.pos = pos;\n      return (self.working = self.string.slice(pos));\n    }, TMP_StringScanner_pos$eq_15.$$arity = 1);\n    \n    Opal.def(self, '$matched_size', TMP_StringScanner_matched_size_16 = function $$matched_size() {\n      var self = this;\n\n      \n      if (self.matched === nil) {\n        return nil;\n      }\n\n      return self.matched.length\n    \n    }, TMP_StringScanner_matched_size_16.$$arity = 0);\n    \n    Opal.def(self, '$post_match', TMP_StringScanner_post_match_17 = function $$post_match() {\n      var self = this;\n\n      \n      if (self.matched === nil) {\n        return nil;\n      }\n\n      return self.string.substr(self.pos);\n    \n    }, TMP_StringScanner_post_match_17.$$arity = 0);\n    \n    Opal.def(self, '$pre_match', TMP_StringScanner_pre_match_18 = function $$pre_match() {\n      var self = this;\n\n      \n      if (self.matched === nil) {\n        return nil;\n      }\n\n      return self.string.substr(0, self.prev_pos);\n    \n    }, TMP_StringScanner_pre_match_18.$$arity = 0);\n    \n    Opal.def(self, '$reset', TMP_StringScanner_reset_19 = function $$reset() {\n      var self = this;\n\n      \n      self.working = self.string;\n      self.matched = nil;\n      return (self.pos = 0);\n    }, TMP_StringScanner_reset_19.$$arity = 0);\n    \n    Opal.def(self, '$rest', TMP_StringScanner_rest_20 = function $$rest() {\n      var self = this;\n\n      return self.working\n    }, TMP_StringScanner_rest_20.$$arity = 0);\n    \n    Opal.def(self, '$rest?', TMP_StringScanner_rest$q_21 = function() {\n      var self = this;\n\n      return self.working.length !== 0\n    }, TMP_StringScanner_rest$q_21.$$arity = 0);\n    \n    Opal.def(self, '$rest_size', TMP_StringScanner_rest_size_22 = function $$rest_size() {\n      var self = this;\n\n      return self.$rest().$size()\n    }, TMP_StringScanner_rest_size_22.$$arity = 0);\n    \n    Opal.def(self, '$terminate', TMP_StringScanner_terminate_23 = function $$terminate() {\n      var self = this, $writer = nil;\n\n      \n      self.match = nil;\n      \n      $writer = [self.string.$length()];\n      $send(self, 'pos=', Opal.to_a($writer));\n      return $writer[$rb_minus($writer[\"length\"], 1)];;\n    }, TMP_StringScanner_terminate_23.$$arity = 0);\n    \n    Opal.def(self, '$unscan', TMP_StringScanner_unscan_24 = function $$unscan() {\n      var self = this;\n\n      \n      self.pos = self.prev_pos;\n      self.prev_pos = nil;\n      self.match = nil;\n      return self;\n    }, TMP_StringScanner_unscan_24.$$arity = 0);\n    self.$private();\n    return (Opal.def(self, '$anchor', TMP_StringScanner_anchor_25 = function $$anchor(pattern) {\n      var self = this;\n\n      \n      var flags = pattern.toString().match(/\\/([^\\/]+)$/);\n      flags = flags ? flags[1] : undefined;\n      return new RegExp('^(?:' + pattern.source + ')', flags);\n    \n    }, TMP_StringScanner_anchor_25.$$arity = 1), nil) && 'anchor';\n  })($nesting[0], null, $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/js\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice;\n\n  Opal.add_stubs(['$require']);\n  \n  self.$require(\"asciidoctor/js/opal_ext\");\n  self.$require(\"asciidoctor/js/rx\");\n  return self.$require(\"strscan\");\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/timings\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $hash2 = Opal.hash2, $send = Opal.send, $truthy = Opal.truthy, $gvars = Opal.gvars;\n\n  Opal.add_stubs(['$now', '$[]=', '$-', '$delete', '$>', '$+', '$[]', '$puts', '$%', '$to_f', '$read_parse', '$convert', '$read_parse_convert']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $Timings(){};\n      var self = $Timings = $klass($base, $super, 'Timings', $Timings);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Timings_initialize_1, TMP_Timings_start_2, TMP_Timings_record_3, TMP_Timings_read_parse_4, TMP_Timings_convert_5, TMP_Timings_read_parse_convert_6, TMP_Timings_total_7, TMP_Timings_print_report_8;\n\n      def.timers = def.log = nil;\n      \n      \n      Opal.def(self, '$initialize', TMP_Timings_initialize_1 = function $$initialize() {\n        var self = this;\n\n        \n        self.log = $hash2([], {});\n        return (self.timers = $hash2([], {}));\n      }, TMP_Timings_initialize_1.$$arity = 0);\n      \n      Opal.def(self, '$start', TMP_Timings_start_2 = function $$start(key) {\n        var self = this, $writer = nil;\n\n        \n        $writer = [key, $$$('::', 'Time').$now()];\n        $send(self.timers, '[]=', Opal.to_a($writer));\n        return $writer[$rb_minus($writer[\"length\"], 1)];\n      }, TMP_Timings_start_2.$$arity = 1);\n      \n      Opal.def(self, '$record', TMP_Timings_record_3 = function $$record(key) {\n        var self = this, $writer = nil;\n\n        \n        $writer = [key, $rb_minus($$$('::', 'Time').$now(), self.timers.$delete(key))];\n        $send(self.log, '[]=', Opal.to_a($writer));\n        return $writer[$rb_minus($writer[\"length\"], 1)];\n      }, TMP_Timings_record_3.$$arity = 1);\n      \n      Opal.def(self, '$read_parse', TMP_Timings_read_parse_4 = function $$read_parse() {\n        var $a, self = this, time = nil;\n\n        if ($truthy($rb_gt((time = $rb_plus(($truthy($a = self.log['$[]'](\"read\")) ? $a : 0), ($truthy($a = self.log['$[]'](\"parse\")) ? $a : 0))), 0))) {\n          return time\n        } else {\n          return nil\n        }\n      }, TMP_Timings_read_parse_4.$$arity = 0);\n      \n      Opal.def(self, '$convert', TMP_Timings_convert_5 = function $$convert() {\n        var $a, self = this;\n\n        return ($truthy($a = self.log['$[]'](\"convert\")) ? $a : 0)\n      }, TMP_Timings_convert_5.$$arity = 0);\n      \n      Opal.def(self, '$read_parse_convert', TMP_Timings_read_parse_convert_6 = function $$read_parse_convert() {\n        var $a, self = this, time = nil;\n\n        if ($truthy($rb_gt((time = $rb_plus($rb_plus(($truthy($a = self.log['$[]'](\"read\")) ? $a : 0), ($truthy($a = self.log['$[]'](\"parse\")) ? $a : 0)), ($truthy($a = self.log['$[]'](\"convert\")) ? $a : 0))), 0))) {\n          return time\n        } else {\n          return nil\n        }\n      }, TMP_Timings_read_parse_convert_6.$$arity = 0);\n      \n      Opal.def(self, '$total', TMP_Timings_total_7 = function $$total() {\n        var $a, self = this, time = nil;\n\n        if ($truthy($rb_gt((time = $rb_plus($rb_plus($rb_plus(($truthy($a = self.log['$[]'](\"read\")) ? $a : 0), ($truthy($a = self.log['$[]'](\"parse\")) ? $a : 0)), ($truthy($a = self.log['$[]'](\"convert\")) ? $a : 0)), ($truthy($a = self.log['$[]'](\"write\")) ? $a : 0))), 0))) {\n          return time\n        } else {\n          return nil\n        }\n      }, TMP_Timings_total_7.$$arity = 0);\n      return (Opal.def(self, '$print_report', TMP_Timings_print_report_8 = function $$print_report(to, subject) {\n        var self = this;\n        if ($gvars.stdout == null) $gvars.stdout = nil;\n\n        if (to == null) {\n          to = $gvars.stdout;\n        }\n        if (subject == null) {\n          subject = nil;\n        }\n        \n        if ($truthy(subject)) {\n          to.$puts(\"\" + \"Input file: \" + (subject))};\n        to.$puts(\"\" + \"  Time to read and parse source: \" + (\"%05.5f\"['$%'](self.$read_parse().$to_f())));\n        to.$puts(\"\" + \"  Time to convert document: \" + (\"%05.5f\"['$%'](self.$convert().$to_f())));\n        return to.$puts(\"\" + \"  Total time (read, parse and convert): \" + (\"%05.5f\"['$%'](self.$read_parse_convert().$to_f())));\n      }, TMP_Timings_print_report_8.$$arity = -1), nil) && 'print_report';\n    })($nesting[0], null, $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/version\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module;\n\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    Opal.const_set($nesting[0], 'VERSION', \"1.5.6.2\")\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/core_ext/nil_or_empty\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$method_defined?']);\n  \n  (function($base, $super, $parent_nesting) {\n    function $NilClass(){};\n    var self = $NilClass = $klass($base, $super, 'NilClass', $NilClass);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    if ($truthy(self['$method_defined?'](\"nil_or_empty?\"))) {\n      return nil\n    } else {\n      return Opal.alias(self, \"nil_or_empty?\", \"nil?\")\n    }\n  })($nesting[0], null, $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $String(){};\n    var self = $String = $klass($base, $super, 'String', $String);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    if ($truthy(self['$method_defined?'](\"nil_or_empty?\"))) {\n      return nil\n    } else {\n      return Opal.alias(self, \"nil_or_empty?\", \"empty?\")\n    }\n  })($nesting[0], null, $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $Array(){};\n    var self = $Array = $klass($base, $super, 'Array', $Array);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    if ($truthy(self['$method_defined?'](\"nil_or_empty?\"))) {\n      return nil\n    } else {\n      return Opal.alias(self, \"nil_or_empty?\", \"empty?\")\n    }\n  })($nesting[0], null, $nesting);\n  (function($base, $super, $parent_nesting) {\n    function $Hash(){};\n    var self = $Hash = $klass($base, $super, 'Hash', $Hash);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    if ($truthy(self['$method_defined?'](\"nil_or_empty?\"))) {\n      return nil\n    } else {\n      return Opal.alias(self, \"nil_or_empty?\", \"empty?\")\n    }\n  })($nesting[0], null, $nesting);\n  return (function($base, $super, $parent_nesting) {\n    function $Numeric(){};\n    var self = $Numeric = $klass($base, $super, 'Numeric', $Numeric);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    if ($truthy(self['$method_defined?'](\"nil_or_empty?\"))) {\n      return nil\n    } else {\n      return Opal.alias(self, \"nil_or_empty?\", \"nil?\")\n    }\n  })($nesting[0], null, $nesting);\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/core_ext/regexp/is_match\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$method_defined?']);\n  return (function($base, $super, $parent_nesting) {\n    function $Regexp(){};\n    var self = $Regexp = $klass($base, $super, 'Regexp', $Regexp);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    if ($truthy(self['$method_defined?'](\"match?\"))) {\n      return nil\n    } else {\n      return Opal.alias(self, \"match?\", \"===\")\n    }\n  })($nesting[0], null, $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/core_ext/string/limit_bytesize\"] = function(Opal) {\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $klass = Opal.klass, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$method_defined?', '$<', '$bytesize', '$valid_encoding?', '$force_encoding', '$byteslice', '$-']);\n  return (function($base, $super, $parent_nesting) {\n    function $String(){};\n    var self = $String = $klass($base, $super, 'String', $String);\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_String_limit_bytesize_1;\n\n    if ($truthy(self['$method_defined?'](\"limit_bytesize\"))) {\n      return nil\n    } else {\n      return (Opal.def(self, '$limit_bytesize', TMP_String_limit_bytesize_1 = function $$limit_bytesize(size) {\n        var $a, self = this, result = nil;\n\n        \n        if ($truthy($rb_lt(size, self.$bytesize()))) {\n        } else {\n          return self\n        };\n        while (!($truthy((result = self.$byteslice(0, size)).$force_encoding($$$($$$('::', 'Encoding'), 'UTF_8'))['$valid_encoding?']()))) {\n          size = $rb_minus(size, 1)\n        };\n        return result;\n      }, TMP_String_limit_bytesize_1.$$arity = 1), nil) && 'limit_bytesize'\n    }\n  })($nesting[0], null, $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/core_ext/1.8.7/io/write\"] = function(Opal) {\n  var TMP_write_2, self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $truthy = Opal.truthy, $send = Opal.send;\n\n  Opal.add_stubs(['$respond_to?', '$open', '$write']);\n  if ($truthy($$($nesting, 'IO')['$respond_to?'](\"write\"))) {\n    return nil\n  } else {\n    return (Opal.defs($$($nesting, 'IO'), '$write', TMP_write_2 = function $$write(name, string, offset, opts) {\n      var TMP_1, self = this;\n\n      if (offset == null) {\n        offset = 0;\n      }\n      if (opts == null) {\n        opts = nil;\n      }\n      return $send($$($nesting, 'File'), 'open', [name, \"w\"], (TMP_1 = function(f){var self = TMP_1.$$s || this;\nif (f == null) f = nil;\n      return f.$write(string)}, TMP_1.$$s = self, TMP_1.$$arity = 1, TMP_1))\n    }, TMP_write_2.$$arity = -3), nil) && 'write'\n  }\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/core_ext\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$require', '$==', '$!=']);\n  \n  self.$require(\"asciidoctor/core_ext/nil_or_empty\");\n  self.$require(\"asciidoctor/core_ext/regexp/is_match\");\n  if ($truthy($$($nesting, 'RUBY_MIN_VERSION_1_9'))) {\n    \n    self.$require(\"asciidoctor/core_ext/string/limit_bytesize\");\n    if ($$($nesting, 'RUBY_ENGINE')['$=='](\"opal\")) {\n      return self.$require(\"asciidoctor/core_ext/1.8.7/io/write\")\n    } else {\n      return nil\n    };\n  } else if ($truthy($$($nesting, 'RUBY_ENGINE')['$!='](\"opal\"))) {\n    return nil\n  } else {\n    return nil\n  };\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/helpers\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $truthy = Opal.truthy, $send = Opal.send, $range = Opal.range, $gvars = Opal.gvars;\n\n  Opal.add_stubs(['$require', '$==', '$===', '$raise', '$warn', '$chomp', '$message', '$class', '$normalize_lines_from_string', '$normalize_lines_array', '$empty?', '$unpack', '$[]', '$slice', '$map', '$each_line', '$encode', '$force_encoding', '$join', '$rstrip', '$[]=', '$-', '$encoding', '$nil_or_empty?', '$include?', '$match?', '$=~', '$gsub', '$each_byte', '$sprintf', '$rindex', '$length', '$basename', '$extname', '$directory?', '$dirname', '$!', '$!=', '$mkdir_p', '$mkdir']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $parent_nesting) {\n      var $Helpers, self = $Helpers = $module($base, 'Helpers');\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Helpers_require_library_1, TMP_Helpers_normalize_lines_2, TMP_Helpers_normalize_lines_array_7, TMP_Helpers_normalize_lines_from_string_9, TMP_Helpers_uriish$q_10, TMP_Helpers_uri_prefix_11, TMP_Helpers_uri_encode_14, TMP_Helpers_rootname_15, TMP_Helpers_basename_16, TMP_Helpers_mkdir_p_17;\n\n      \n      Opal.defs(self, '$require_library', TMP_Helpers_require_library_1 = function $$require_library(name, gem_name, on_failure) {\n        var self = this, e = nil, $case = nil;\n\n        if (gem_name == null) {\n          gem_name = true;\n        }\n        if (on_failure == null) {\n          on_failure = \"abort\";\n        }\n        try {\n          return self.$require(name)\n        } catch ($err) {\n          if (Opal.rescue($err, [$$$('::', 'LoadError')])) {e = $err;\n            try {\n              if ($truthy(gem_name)) {\n                \n                if (gem_name['$=='](true)) {\n                  gem_name = name};\n                return (function() {$case = on_failure;\n                if (\"abort\"['$===']($case)) {return self.$raise($$$('::', 'LoadError'), \"\" + \"asciidoctor: FAILED: required gem '\" + (gem_name) + \"' is not installed. Processing aborted.\")}\n                else if (\"warn\"['$===']($case)) {return self.$warn(\"\" + \"asciidoctor: WARNING: optional gem '\" + (gem_name) + \"' is not installed. Functionality disabled.\")}\n                else { return nil }})();\n              } else {\n                return (function() {$case = on_failure;\n                if (\"abort\"['$===']($case)) {return self.$raise($$$('::', 'LoadError'), \"\" + \"asciidoctor: FAILED: \" + (e.$message().$chomp(\".\")) + \". Processing aborted.\")}\n                else if (\"warn\"['$===']($case)) {return self.$warn(\"\" + \"asciidoctor: WARNING: \" + (e.$message().$chomp(\".\")) + \". Functionality disabled.\")}\n                else { return nil }})()\n              }\n            } finally { Opal.pop_exception() }\n          } else { throw $err; }\n        }\n      }, TMP_Helpers_require_library_1.$$arity = -2);\n      Opal.defs(self, '$normalize_lines', TMP_Helpers_normalize_lines_2 = function $$normalize_lines(data) {\n        var self = this;\n\n        if (data.$class()['$==']($$$('::', 'String'))) {\n          \n          return self.$normalize_lines_from_string(data);\n        } else {\n          \n          return self.$normalize_lines_array(data);\n        }\n      }, TMP_Helpers_normalize_lines_2.$$arity = 1);\n      Opal.defs(self, '$normalize_lines_array', TMP_Helpers_normalize_lines_array_7 = function $$normalize_lines_array(data) {\n        var TMP_3, TMP_4, TMP_5, TMP_6, self = this, leading_bytes = nil, first_line = nil, utf8 = nil, leading_2_bytes = nil, $writer = nil;\n\n        \n        if ($truthy(data['$empty?']())) {\n          return data};\n        leading_bytes = (first_line = data['$[]'](0)).$unpack(\"C3\");\n        if ($truthy($$($nesting, 'COERCE_ENCODING'))) {\n          \n          utf8 = $$$($$$('::', 'Encoding'), 'UTF_8');\n          if ((leading_2_bytes = leading_bytes.$slice(0, 2))['$==']($$($nesting, 'BOM_BYTES_UTF_16LE'))) {\n            return $send(data.$join().$force_encoding($$$($$$('::', 'Encoding'), 'UTF_16LE'))['$[]']($range(1, -1, false)).$encode(utf8).$each_line(), 'map', [], (TMP_3 = function(line){var self = TMP_3.$$s || this;\nif (line == null) line = nil;\n            return line.$rstrip()}, TMP_3.$$s = self, TMP_3.$$arity = 1, TMP_3))\n          } else if (leading_2_bytes['$==']($$($nesting, 'BOM_BYTES_UTF_16BE'))) {\n            \n            \n            $writer = [0, first_line.$force_encoding($$$($$$('::', 'Encoding'), 'UTF_16BE'))['$[]']($range(1, -1, false))];\n            $send(data, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            return $send(data, 'map', [], (TMP_4 = function(line){var self = TMP_4.$$s || this;\nif (line == null) line = nil;\n            return \"\" + (line.$force_encoding($$$($$$('::', 'Encoding'), 'UTF_16BE')).$encode(utf8).$rstrip())}, TMP_4.$$s = self, TMP_4.$$arity = 1, TMP_4));\n          } else if (leading_bytes['$==']($$($nesting, 'BOM_BYTES_UTF_8'))) {\n            \n            $writer = [0, first_line.$force_encoding(utf8)['$[]']($range(1, -1, false))];\n            $send(data, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};\n          return $send(data, 'map', [], (TMP_5 = function(line){var self = TMP_5.$$s || this;\nif (line == null) line = nil;\n          if (line.$encoding()['$=='](utf8)) {\n              return line.$rstrip()\n            } else {\n              return line.$force_encoding(utf8).$rstrip()\n            }}, TMP_5.$$s = self, TMP_5.$$arity = 1, TMP_5));\n        } else {\n          \n          if (leading_bytes['$==']($$($nesting, 'BOM_BYTES_UTF_8'))) {\n            \n            $writer = [0, first_line['$[]']($range(3, -1, false))];\n            $send(data, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};\n          return $send(data, 'map', [], (TMP_6 = function(line){var self = TMP_6.$$s || this;\nif (line == null) line = nil;\n          return line.$rstrip()}, TMP_6.$$s = self, TMP_6.$$arity = 1, TMP_6));\n        };\n      }, TMP_Helpers_normalize_lines_array_7.$$arity = 1);\n      Opal.defs(self, '$normalize_lines_from_string', TMP_Helpers_normalize_lines_from_string_9 = function $$normalize_lines_from_string(data) {\n        var TMP_8, self = this, leading_bytes = nil, utf8 = nil, leading_2_bytes = nil;\n\n        \n        if ($truthy(data['$nil_or_empty?']())) {\n          return []};\n        leading_bytes = data.$unpack(\"C3\");\n        if ($truthy($$($nesting, 'COERCE_ENCODING'))) {\n          \n          utf8 = $$$($$$('::', 'Encoding'), 'UTF_8');\n          if ((leading_2_bytes = leading_bytes.$slice(0, 2))['$==']($$($nesting, 'BOM_BYTES_UTF_16LE'))) {\n            data = data.$force_encoding($$$($$$('::', 'Encoding'), 'UTF_16LE'))['$[]']($range(1, -1, false)).$encode(utf8)\n          } else if (leading_2_bytes['$==']($$($nesting, 'BOM_BYTES_UTF_16BE'))) {\n            data = data.$force_encoding($$$($$$('::', 'Encoding'), 'UTF_16BE'))['$[]']($range(1, -1, false)).$encode(utf8)\n          } else if (leading_bytes['$==']($$($nesting, 'BOM_BYTES_UTF_8'))) {\n            data = (function() {if (data.$encoding()['$=='](utf8)) {\n              return data['$[]']($range(1, -1, false))\n            } else {\n              return data.$force_encoding(utf8)['$[]']($range(1, -1, false))\n            }; return nil; })()\n          } else if (data.$encoding()['$=='](utf8)) {\n          } else {\n            data = data.$force_encoding(utf8)\n          };\n        } else if (leading_bytes['$==']($$($nesting, 'BOM_BYTES_UTF_8'))) {\n          data = data['$[]']($range(3, -1, false))};\n        return $send(data.$each_line(), 'map', [], (TMP_8 = function(line){var self = TMP_8.$$s || this;\nif (line == null) line = nil;\n        return line.$rstrip()}, TMP_8.$$s = self, TMP_8.$$arity = 1, TMP_8));\n      }, TMP_Helpers_normalize_lines_from_string_9.$$arity = 1);\n      Opal.defs(self, '$uriish?', TMP_Helpers_uriish$q_10 = function(str) {\n        var $a, self = this;\n\n        return ($truthy($a = str['$include?'](\":\")) ? $$($nesting, 'UriSniffRx')['$match?'](str) : $a)\n      }, TMP_Helpers_uriish$q_10.$$arity = 1);\n      Opal.defs(self, '$uri_prefix', TMP_Helpers_uri_prefix_11 = function $$uri_prefix(str) {\n        var $a, self = this;\n\n        if ($truthy(($truthy($a = str['$include?'](\":\")) ? $$($nesting, 'UriSniffRx')['$=~'](str) : $a))) {\n          return (($a = $gvars['~']) === nil ? nil : $a['$[]'](0))\n        } else {\n          return nil\n        }\n      }, TMP_Helpers_uri_prefix_11.$$arity = 1);\n      Opal.const_set($nesting[0], 'REGEXP_ENCODE_URI_CHARS', /[^\\w\\-.!~*';:@=+$,()\\[\\]]/);\n      Opal.defs(self, '$uri_encode', TMP_Helpers_uri_encode_14 = function $$uri_encode(str) {\n        var TMP_12, self = this;\n\n        return $send(str, 'gsub', [$$($nesting, 'REGEXP_ENCODE_URI_CHARS')], (TMP_12 = function(){var self = TMP_12.$$s || this, $a, TMP_13;\n\n        return $send((($a = $gvars['~']) === nil ? nil : $a['$[]'](0)).$each_byte(), 'map', [], (TMP_13 = function(c){var self = TMP_13.$$s || this;\nif (c == null) c = nil;\n          return self.$sprintf(\"%%%02X\", c)}, TMP_13.$$s = self, TMP_13.$$arity = 1, TMP_13)).$join()}, TMP_12.$$s = self, TMP_12.$$arity = 0, TMP_12))\n      }, TMP_Helpers_uri_encode_14.$$arity = 1);\n      Opal.defs(self, '$rootname', TMP_Helpers_rootname_15 = function $$rootname(filename) {\n        var $a, self = this;\n\n        return filename.$slice(0, ($truthy($a = filename.$rindex(\".\")) ? $a : filename.$length()))\n      }, TMP_Helpers_rootname_15.$$arity = 1);\n      Opal.defs(self, '$basename', TMP_Helpers_basename_16 = function $$basename(filename, drop_ext) {\n        var self = this;\n\n        if (drop_ext == null) {\n          drop_ext = nil;\n        }\n        if ($truthy(drop_ext)) {\n          return $$$('::', 'File').$basename(filename, (function() {if (drop_ext['$=='](true)) {\n            \n            return $$$('::', 'File').$extname(filename);\n          } else {\n            return drop_ext\n          }; return nil; })())\n        } else {\n          return $$$('::', 'File').$basename(filename)\n        }\n      }, TMP_Helpers_basename_16.$$arity = -2);\n      Opal.defs(self, '$mkdir_p', TMP_Helpers_mkdir_p_17 = function $$mkdir_p(dir) {\n        var $a, self = this, parent_dir = nil;\n\n        if ($truthy($$$('::', 'File')['$directory?'](dir))) {\n          return nil\n        } else {\n          \n          parent_dir = $$$('::', 'File').$dirname(dir);\n          if ($truthy(($truthy($a = $$$('::', 'File')['$directory?']((parent_dir = $$$('::', 'File').$dirname(dir)))['$!']()) ? parent_dir['$!='](\".\") : $a))) {\n            self.$mkdir_p(parent_dir)};\n          return $$$('::', 'Dir').$mkdir(dir);\n        }\n      }, TMP_Helpers_mkdir_p_17.$$arity = 1);\n    })($nesting[0], $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/substitutors\"] = function(Opal) {\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $hash2 = Opal.hash2, $hash = Opal.hash, $truthy = Opal.truthy, $send = Opal.send, $gvars = Opal.gvars, $range = Opal.range;\n\n  Opal.add_stubs(['$freeze', '$+', '$keys', '$attr_reader', '$empty?', '$!', '$===', '$[]', '$each', '$<<', '$*', '$include?', '$extract_passthroughs', '$sub_specialchars', '$sub_quotes', '$sub_attributes', '$split', '$sub_replacements', '$sub_macros', '$highlight_source', '$sub_callouts', '$sub_post_replacements', '$warn', '$restore_passthroughs', '$apply_subs', '$compat_mode', '$gsub', '$==', '$length', '$>', '$-', '$end_with?', '$parse_attributes', '$size', '$[]=', '$unescape_brackets', '$resolve_pass_subs', '$start_with?', '$to_sym', '$nil_or_empty?', '$attributes', '$basebackend?', '$to_i', '$convert', '$new', '$clear', '$match?', '$convert_quoted_text', '$do_replacement', '$sub', '$shift', '$store_attribute', '$fetch', '$attribute_undefined', '$counter', '$key?', '$downcase', '$attribute_missing', '$slice', '$strip', '$index', '$min', '$compact', '$map', '$chop', '$unescape_bracketed_text', '$pop', '$rstrip', '$extensions', '$inline_macros?', '$inline_macros', '$regexp', '$instance', '$names', '$config', '$dup', '$!=', '$process_method', '$register', '$tr', '$basename', '$split_simple_csv', '$normalize_string', '$!~', '$delete', '$uri_encode', '$sub_inline_xrefs', '$sub_inline_anchors', '$find', '$footnotes', '$id', '$text', '$style', '$lstrip', '$rindex', '$catalog', '$key', '$attr?', '$escape', '$attr', '$read_next_id', '$callouts', '$<', '$parse_quoted_text_attributes', '$shorthand_property_syntax', '$concat', '$parse_into', '$parse', '$each_char', '$join', '$chr', '$&', '$resolve_subs', '$nil?', '$require_library', '$set_attr', '$sub_source', '$resolve_highlight_lines', '$highlight', '$find_by_alias', '$find_by_mimetype', '$name', '$option?', '$=~', '$to_a', '$uniq', '$sort', '$resolve_block_subs']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $parent_nesting) {\n      var $Substitutors, self = $Substitutors = $module($base, 'Substitutors');\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Substitutors_apply_subs_3, TMP_Substitutors_apply_normal_subs_4, TMP_Substitutors_apply_title_subs_5, TMP_Substitutors_apply_reftext_subs_6, TMP_Substitutors_apply_header_subs_7, TMP_Substitutors_extract_passthroughs_11, TMP_Substitutors_restore_passthroughs_13, TMP_Substitutors_sub_quotes_16, TMP_Substitutors_sub_replacements_19, TMP_Substitutors_sub_specialchars_20, TMP_Substitutors_do_replacement_21, TMP_Substitutors_sub_attributes_24, TMP_Substitutors_sub_macros_41, TMP_Substitutors_sub_inline_anchors_44, TMP_Substitutors_sub_inline_xrefs_46, TMP_Substitutors_sub_callouts_48, TMP_Substitutors_sub_post_replacements_51, TMP_Substitutors_convert_quoted_text_52, TMP_Substitutors_parse_quoted_text_attributes_53, TMP_Substitutors_parse_attributes_54, TMP_Substitutors_unescape_bracketed_text_55, TMP_Substitutors_normalize_string_56, TMP_Substitutors_unescape_brackets_57, TMP_Substitutors_split_simple_csv_60, TMP_Substitutors_resolve_subs_62, TMP_Substitutors_resolve_block_subs_63, TMP_Substitutors_resolve_pass_subs_64, TMP_Substitutors_highlight_source_69, TMP_Substitutors_resolve_highlight_lines_71, TMP_Substitutors_sub_source_72, TMP_Substitutors_lock_in_subs_73;\n\n      \n      Opal.const_set($nesting[0], 'SpecialCharsRx', /[<&>]/);\n      Opal.const_set($nesting[0], 'SpecialCharsTr', $hash2([\">\", \"<\", \"&\"], {\">\": \"&gt;\", \"<\": \"&lt;\", \"&\": \"&amp;\"}));\n      Opal.const_set($nesting[0], 'QuotedTextSniffRx', $hash(false, /[*_`#^~]/, true, /[*'_+#^~]/));\n      Opal.const_set($nesting[0], 'BASIC_SUBS', [\"specialcharacters\"]).$freeze();\n      Opal.const_set($nesting[0], 'HEADER_SUBS', [\"specialcharacters\", \"attributes\"]).$freeze();\n      Opal.const_set($nesting[0], 'NORMAL_SUBS', [\"specialcharacters\", \"quotes\", \"attributes\", \"replacements\", \"macros\", \"post_replacements\"]).$freeze();\n      Opal.const_set($nesting[0], 'NONE_SUBS', []).$freeze();\n      Opal.const_set($nesting[0], 'TITLE_SUBS', [\"specialcharacters\", \"quotes\", \"replacements\", \"macros\", \"attributes\", \"post_replacements\"]).$freeze();\n      Opal.const_set($nesting[0], 'REFTEXT_SUBS', [\"specialcharacters\", \"quotes\", \"replacements\"]).$freeze();\n      Opal.const_set($nesting[0], 'VERBATIM_SUBS', [\"specialcharacters\", \"callouts\"]).$freeze();\n      Opal.const_set($nesting[0], 'SUB_GROUPS', $hash2([\"none\", \"normal\", \"verbatim\", \"specialchars\"], {\"none\": $$($nesting, 'NONE_SUBS'), \"normal\": $$($nesting, 'NORMAL_SUBS'), \"verbatim\": $$($nesting, 'VERBATIM_SUBS'), \"specialchars\": $$($nesting, 'BASIC_SUBS')}));\n      Opal.const_set($nesting[0], 'SUB_HINTS', $hash2([\"a\", \"m\", \"n\", \"p\", \"q\", \"r\", \"c\", \"v\"], {\"a\": \"attributes\", \"m\": \"macros\", \"n\": \"normal\", \"p\": \"post_replacements\", \"q\": \"quotes\", \"r\": \"replacements\", \"c\": \"specialcharacters\", \"v\": \"verbatim\"}));\n      Opal.const_set($nesting[0], 'SUB_OPTIONS', $hash2([\"block\", \"inline\"], {\"block\": $rb_plus($rb_plus($$($nesting, 'SUB_GROUPS').$keys(), $$($nesting, 'NORMAL_SUBS')), [\"callouts\"]), \"inline\": $rb_plus($$($nesting, 'SUB_GROUPS').$keys(), $$($nesting, 'NORMAL_SUBS'))}));\n      Opal.const_set($nesting[0], 'SUB_HIGHLIGHT', [\"coderay\", \"pygments\"]);\n      Opal.const_set($nesting[0], 'PASS_START', \"\\u0096\");\n      Opal.const_set($nesting[0], 'PASS_END', \"\\u0097\");\n      Opal.const_set($nesting[0], 'PassSlotRx', new RegExp(\"\" + ($$($nesting, 'PASS_START')) + \"(\\\\d+)\" + ($$($nesting, 'PASS_END'))));\n      Opal.const_set($nesting[0], 'HighlightedPassSlotRx', new RegExp(\"\" + \"<span\\\\b[^>]*>\" + ($$($nesting, 'PASS_START')) + \"</span>[^\\\\d]*(\\\\d+)[^\\\\d]*<span\\\\b[^>]*>\" + ($$($nesting, 'PASS_END')) + \"</span>\"));\n      Opal.const_set($nesting[0], 'RS', \"\\\\\");\n      Opal.const_set($nesting[0], 'R_SB', \"]\");\n      Opal.const_set($nesting[0], 'ESC_R_SB', \"\\\\]\");\n      Opal.const_set($nesting[0], 'PLUS', \"+\");\n      Opal.const_set($nesting[0], 'PygmentsWrapperDivRx', /<div class=\"pyhl\">(.*)<\\/div>/m);\n      Opal.const_set($nesting[0], 'PygmentsWrapperPreRx', /<pre\\b[^>]*?>(.*?)<\\/pre>\\s*/m);\n      self.$attr_reader(\"passthroughs\");\n      \n      Opal.def(self, '$apply_subs', TMP_Substitutors_apply_subs_3 = function $$apply_subs(source, subs, expand) {\n        var $a, TMP_1, TMP_2, self = this, effective_subs = nil, text = nil, multiline = nil, has_passthroughs = nil;\n        if (self.passthroughs == null) self.passthroughs = nil;\n\n        if (subs == null) {\n          subs = $$($nesting, 'NORMAL_SUBS');\n        }\n        if (expand == null) {\n          expand = nil;\n        }\n        \n        if ($truthy(($truthy($a = source['$empty?']()) ? $a : subs['$!']()))) {\n          return source\n        } else if ($truthy(expand)) {\n          if ($truthy($$$('::', 'Symbol')['$==='](subs))) {\n            subs = ($truthy($a = $$($nesting, 'SUB_GROUPS')['$[]'](subs)) ? $a : [subs])\n          } else {\n            \n            effective_subs = [];\n            $send(subs, 'each', [], (TMP_1 = function(key){var self = TMP_1.$$s || this, sub_group = nil;\nif (key == null) key = nil;\n            if ($truthy((sub_group = $$($nesting, 'SUB_GROUPS')['$[]'](key)))) {\n                if ($truthy(sub_group['$empty?']())) {\n                  return nil\n                } else {\n                  return (effective_subs = $rb_plus(effective_subs, sub_group))\n                }\n              } else {\n                return effective_subs['$<<'](key)\n              }}, TMP_1.$$s = self, TMP_1.$$arity = 1, TMP_1));\n            if ($truthy((subs = effective_subs)['$empty?']())) {\n              return source};\n          }\n        } else if ($truthy(subs['$empty?']())) {\n          return source};\n        text = (function() {if ($truthy((multiline = $$$('::', 'Array')['$==='](source)))) {\n          return $rb_times(source, $$($nesting, 'LF'))\n        } else {\n          return source\n        }; return nil; })();\n        if ($truthy((has_passthroughs = subs['$include?'](\"macros\")))) {\n          \n          text = self.$extract_passthroughs(text);\n          if ($truthy(self.passthroughs['$empty?']())) {\n            has_passthroughs = false};};\n        $send(subs, 'each', [], (TMP_2 = function(type){var self = TMP_2.$$s || this, $case = nil;\nif (type == null) type = nil;\n        return (function() {$case = type;\n          if (\"specialcharacters\"['$===']($case)) {return (text = self.$sub_specialchars(text))}\n          else if (\"quotes\"['$===']($case)) {return (text = self.$sub_quotes(text))}\n          else if (\"attributes\"['$===']($case)) {if ($truthy(text['$include?']($$($nesting, 'ATTR_REF_HEAD')))) {\n            return (text = $rb_times(self.$sub_attributes(text.$split($$($nesting, 'LF'), -1)), $$($nesting, 'LF')))\n          } else {\n            return nil\n          }}\n          else if (\"replacements\"['$===']($case)) {return (text = self.$sub_replacements(text))}\n          else if (\"macros\"['$===']($case)) {return (text = self.$sub_macros(text))}\n          else if (\"highlight\"['$===']($case)) {return (text = self.$highlight_source(text, subs['$include?'](\"callouts\")))}\n          else if (\"callouts\"['$===']($case)) {if ($truthy(subs['$include?'](\"highlight\"))) {\n            return nil\n          } else {\n            return (text = self.$sub_callouts(text))\n          }}\n          else if (\"post_replacements\"['$===']($case)) {return (text = self.$sub_post_replacements(text))}\n          else {return self.$warn(\"\" + \"asciidoctor: WARNING: unknown substitution type \" + (type))}})()}, TMP_2.$$s = self, TMP_2.$$arity = 1, TMP_2));\n        if ($truthy(has_passthroughs)) {\n          text = self.$restore_passthroughs(text)};\n        if ($truthy(multiline)) {\n          \n          return text.$split($$($nesting, 'LF'), -1);\n        } else {\n          return text\n        };\n      }, TMP_Substitutors_apply_subs_3.$$arity = -2);\n      \n      Opal.def(self, '$apply_normal_subs', TMP_Substitutors_apply_normal_subs_4 = function $$apply_normal_subs(text) {\n        var self = this;\n\n        return self.$apply_subs(text)\n      }, TMP_Substitutors_apply_normal_subs_4.$$arity = 1);\n      \n      Opal.def(self, '$apply_title_subs', TMP_Substitutors_apply_title_subs_5 = function $$apply_title_subs(title) {\n        var self = this;\n\n        return self.$apply_subs(title, $$($nesting, 'TITLE_SUBS'))\n      }, TMP_Substitutors_apply_title_subs_5.$$arity = 1);\n      \n      Opal.def(self, '$apply_reftext_subs', TMP_Substitutors_apply_reftext_subs_6 = function $$apply_reftext_subs(text) {\n        var self = this;\n\n        return self.$apply_subs(text, $$($nesting, 'REFTEXT_SUBS'))\n      }, TMP_Substitutors_apply_reftext_subs_6.$$arity = 1);\n      \n      Opal.def(self, '$apply_header_subs', TMP_Substitutors_apply_header_subs_7 = function $$apply_header_subs(text) {\n        var self = this;\n\n        return self.$apply_subs(text, $$($nesting, 'HEADER_SUBS'))\n      }, TMP_Substitutors_apply_header_subs_7.$$arity = 1);\n      \n      Opal.def(self, '$extract_passthroughs', TMP_Substitutors_extract_passthroughs_11 = function $$extract_passthroughs(text) {\n        var $a, $b, TMP_8, TMP_9, TMP_10, self = this, compat_mode = nil, pass_inline_char1 = nil, pass_inline_char2 = nil, pass_inline_rx = nil;\n        if (self.document == null) self.document = nil;\n\n        \n        compat_mode = self.document.$compat_mode();\n        if ($truthy(($truthy($a = ($truthy($b = text['$include?'](\"++\")) ? $b : text['$include?'](\"$$\"))) ? $a : text['$include?'](\"ss:\")))) {\n          text = $send(text, 'gsub', [$$($nesting, 'InlinePassMacroRx')], (TMP_8 = function(){var self = TMP_8.$$s || this, $c, m = nil, preceding = nil, boundary = nil, attributes = nil, escape_count = nil, content = nil, old_behavior = nil, subs = nil, pass_key = nil, $writer = nil;\n            if (self.passthroughs == null) self.passthroughs = nil;\n            if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n          \n            m = $gvars[\"~\"];\n            preceding = nil;\n            if ($truthy((boundary = m['$[]'](4)))) {\n              \n              if ($truthy(($truthy($c = compat_mode) ? boundary['$=='](\"++\") : $c))) {\n                return (function() {if ($truthy(m['$[]'](2))) {\n                  return \"\" + (m['$[]'](1)) + \"[\" + (m['$[]'](2)) + \"]\" + (m['$[]'](3)) + \"++\" + (self.$extract_passthroughs(m['$[]'](5))) + \"++\"\n                } else {\n                  return \"\" + (m['$[]'](1)) + (m['$[]'](3)) + \"++\" + (self.$extract_passthroughs(m['$[]'](5))) + \"++\"\n                }; return nil; })();};\n              attributes = m['$[]'](2);\n              escape_count = m['$[]'](3).$length();\n              content = m['$[]'](5);\n              old_behavior = false;\n              if ($truthy(attributes)) {\n                if ($truthy($rb_gt(escape_count, 0))) {\n                  return \"\" + (m['$[]'](1)) + \"[\" + (attributes) + \"]\" + ($rb_times($$($nesting, 'RS'), $rb_minus(escape_count, 1))) + (boundary) + (m['$[]'](5)) + (boundary);\n                } else if (m['$[]'](1)['$==']($$($nesting, 'RS'))) {\n                  \n                  preceding = \"\" + \"[\" + (attributes) + \"]\";\n                  attributes = nil;\n                } else {\n                  \n                  if ($truthy((($c = boundary['$=='](\"++\")) ? attributes['$end_with?'](\"x-\") : boundary['$=='](\"++\")))) {\n                    \n                    old_behavior = true;\n                    attributes = attributes['$[]']($range(0, -2, true));};\n                  attributes = self.$parse_attributes(attributes);\n                }\n              } else if ($truthy($rb_gt(escape_count, 0))) {\n                return \"\" + ($rb_times($$($nesting, 'RS'), $rb_minus(escape_count, 1))) + (boundary) + (m['$[]'](5)) + (boundary);};\n              subs = (function() {if (boundary['$=='](\"+++\")) {\n                return []\n              } else {\n                return $$($nesting, 'BASIC_SUBS')\n              }; return nil; })();\n              pass_key = self.passthroughs.$size();\n              if ($truthy(attributes)) {\n                if ($truthy(old_behavior)) {\n                  \n                  $writer = [pass_key, $hash2([\"text\", \"subs\", \"type\", \"attributes\"], {\"text\": content, \"subs\": $$($nesting, 'NORMAL_SUBS'), \"type\": \"monospaced\", \"attributes\": attributes})];\n                  $send(self.passthroughs, '[]=', Opal.to_a($writer));\n                  $writer[$rb_minus($writer[\"length\"], 1)];\n                } else {\n                  \n                  $writer = [pass_key, $hash2([\"text\", \"subs\", \"type\", \"attributes\"], {\"text\": content, \"subs\": subs, \"type\": \"unquoted\", \"attributes\": attributes})];\n                  $send(self.passthroughs, '[]=', Opal.to_a($writer));\n                  $writer[$rb_minus($writer[\"length\"], 1)];\n                }\n              } else {\n                \n                $writer = [pass_key, $hash2([\"text\", \"subs\"], {\"text\": content, \"subs\": subs})];\n                $send(self.passthroughs, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];\n              };\n            } else {\n              \n              if (m['$[]'](6)['$==']($$($nesting, 'RS'))) {\n                return m['$[]'](0)['$[]']($range(1, -1, false));};\n              \n              $writer = [(pass_key = self.passthroughs.$size()), $hash2([\"text\", \"subs\"], {\"text\": self.$unescape_brackets(m['$[]'](8)), \"subs\": (function() {if ($truthy(m['$[]'](7))) {\n                \n                return self.$resolve_pass_subs(m['$[]'](7));\n              } else {\n                return []\n              }; return nil; })()})];\n              $send(self.passthroughs, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;\n            };\n            return \"\" + (preceding) + ($$($nesting, 'PASS_START')) + (pass_key) + ($$($nesting, 'PASS_END'));}, TMP_8.$$s = self, TMP_8.$$arity = 0, TMP_8))};\n        $b = $$($nesting, 'PassInlineRx')['$[]'](compat_mode), $a = Opal.to_ary($b), (pass_inline_char1 = ($a[0] == null ? nil : $a[0])), (pass_inline_char2 = ($a[1] == null ? nil : $a[1])), (pass_inline_rx = ($a[2] == null ? nil : $a[2])), $b;\n        if ($truthy(($truthy($a = text['$include?'](pass_inline_char1)) ? $a : ($truthy($b = pass_inline_char2) ? text['$include?'](pass_inline_char2) : $b)))) {\n          text = $send(text, 'gsub', [pass_inline_rx], (TMP_9 = function(){var self = TMP_9.$$s || this, $c, m = nil, preceding = nil, attributes = nil, escape_mark = nil, format_mark = nil, content = nil, old_behavior = nil, pass_key = nil, $writer = nil, subs = nil;\n            if (self.passthroughs == null) self.passthroughs = nil;\n            if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n          \n            m = $gvars[\"~\"];\n            preceding = m['$[]'](1);\n            attributes = m['$[]'](2);\n            if ($truthy(m['$[]'](3)['$start_with?']($$($nesting, 'RS')))) {\n              escape_mark = $$($nesting, 'RS')};\n            format_mark = m['$[]'](4);\n            content = m['$[]'](5);\n            if ($truthy(compat_mode)) {\n              old_behavior = true\n            } else if ($truthy((old_behavior = ($truthy($c = attributes) ? attributes['$end_with?'](\"x-\") : $c)))) {\n              attributes = attributes['$[]']($range(0, -2, true))};\n            if ($truthy(attributes)) {\n              \n              if ($truthy((($c = format_mark['$=='](\"`\")) ? old_behavior['$!']() : format_mark['$=='](\"`\")))) {\n                return \"\" + (preceding) + \"[\" + (attributes) + \"]\" + (escape_mark) + \"`\" + (self.$extract_passthroughs(content)) + \"`\";};\n              if ($truthy(escape_mark)) {\n                return \"\" + (preceding) + \"[\" + (attributes) + \"]\" + (m['$[]'](3)['$[]']($range(1, -1, false)));\n              } else if (preceding['$==']($$($nesting, 'RS'))) {\n                \n                preceding = \"\" + \"[\" + (attributes) + \"]\";\n                attributes = nil;\n              } else {\n                attributes = self.$parse_attributes(attributes)\n              };\n            } else if ($truthy((($c = format_mark['$=='](\"`\")) ? old_behavior['$!']() : format_mark['$=='](\"`\")))) {\n              return \"\" + (preceding) + (escape_mark) + \"`\" + (self.$extract_passthroughs(content)) + \"`\";\n            } else if ($truthy(escape_mark)) {\n              return \"\" + (preceding) + (m['$[]'](3)['$[]']($range(1, -1, false)));};\n            pass_key = self.passthroughs.$size();\n            if ($truthy(compat_mode)) {\n              \n              $writer = [pass_key, $hash2([\"text\", \"subs\", \"attributes\", \"type\"], {\"text\": content, \"subs\": $$($nesting, 'BASIC_SUBS'), \"attributes\": attributes, \"type\": \"monospaced\"})];\n              $send(self.passthroughs, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];\n            } else if ($truthy(attributes)) {\n              if ($truthy(old_behavior)) {\n                \n                subs = (function() {if (format_mark['$=='](\"`\")) {\n                  return $$($nesting, 'BASIC_SUBS')\n                } else {\n                  return $$($nesting, 'NORMAL_SUBS')\n                }; return nil; })();\n                \n                $writer = [pass_key, $hash2([\"text\", \"subs\", \"attributes\", \"type\"], {\"text\": content, \"subs\": subs, \"attributes\": attributes, \"type\": \"monospaced\"})];\n                $send(self.passthroughs, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;\n              } else {\n                \n                $writer = [pass_key, $hash2([\"text\", \"subs\", \"attributes\", \"type\"], {\"text\": content, \"subs\": $$($nesting, 'BASIC_SUBS'), \"attributes\": attributes, \"type\": \"unquoted\"})];\n                $send(self.passthroughs, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];\n              }\n            } else {\n              \n              $writer = [pass_key, $hash2([\"text\", \"subs\"], {\"text\": content, \"subs\": $$($nesting, 'BASIC_SUBS')})];\n              $send(self.passthroughs, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];\n            };\n            return \"\" + (preceding) + ($$($nesting, 'PASS_START')) + (pass_key) + ($$($nesting, 'PASS_END'));}, TMP_9.$$s = self, TMP_9.$$arity = 0, TMP_9))};\n        if ($truthy(($truthy($a = text['$include?'](\":\")) ? ($truthy($b = text['$include?'](\"stem:\")) ? $b : text['$include?'](\"math:\")) : $a))) {\n          text = $send(text, 'gsub', [$$($nesting, 'InlineStemMacroRx')], (TMP_10 = function(){var self = TMP_10.$$s || this, m = nil, type = nil, default_stem_type = nil, content = nil, subs = nil, $writer = nil, pass_key = nil;\n            if (self.document == null) self.document = nil;\n            if (self.passthroughs == null) self.passthroughs = nil;\n            if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n          \n            m = $gvars[\"~\"];\n            if ($truthy(m['$[]'](0)['$start_with?']($$($nesting, 'RS')))) {\n              return m['$[]'](0)['$[]']($range(1, -1, false));};\n            if ((type = m['$[]'](1).$to_sym())['$=='](\"stem\")) {\n              type = (function() {if ($truthy((default_stem_type = self.document.$attributes()['$[]'](\"stem\"))['$nil_or_empty?']())) {\n                return \"asciimath\"\n              } else {\n                return default_stem_type\n              }; return nil; })().$to_sym()};\n            content = self.$unescape_brackets(m['$[]'](3));\n            subs = (function() {if ($truthy(m['$[]'](2))) {\n              \n              return self.$resolve_pass_subs(m['$[]'](2));\n            } else {\n              \n              if ($truthy(self.document['$basebackend?'](\"html\"))) {\n                return $$($nesting, 'BASIC_SUBS')\n              } else {\n                return []\n              };\n            }; return nil; })();\n            \n            $writer = [(pass_key = self.passthroughs.$size()), $hash2([\"text\", \"subs\", \"type\"], {\"text\": content, \"subs\": subs, \"type\": type})];\n            $send(self.passthroughs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            return \"\" + ($$($nesting, 'PASS_START')) + (pass_key) + ($$($nesting, 'PASS_END'));}, TMP_10.$$s = self, TMP_10.$$arity = 0, TMP_10))};\n        return text;\n      }, TMP_Substitutors_extract_passthroughs_11.$$arity = 1);\n      \n      Opal.def(self, '$restore_passthroughs', TMP_Substitutors_restore_passthroughs_13 = function $$restore_passthroughs(text, outer) {\n        var $a, $b, TMP_12, self = this;\n        if (self.passthroughs == null) self.passthroughs = nil;\n\n        if (outer == null) {\n          outer = true;\n        }\n        return (function() { try {\n        \n        if ($truthy(($truthy($a = outer) ? ($truthy($b = self.passthroughs['$empty?']()) ? $b : text['$include?']($$($nesting, 'PASS_START'))['$!']()) : $a))) {\n          return text};\n        return $send(text, 'gsub', [$$($nesting, 'PassSlotRx')], (TMP_12 = function(){var self = TMP_12.$$s || this, $c, pass = nil, subbed_text = nil, type = nil;\n          if (self.passthroughs == null) self.passthroughs = nil;\n\n        \n          pass = self.passthroughs['$[]']((($c = $gvars['~']) === nil ? nil : $c['$[]'](1)).$to_i());\n          subbed_text = self.$apply_subs(pass['$[]'](\"text\"), pass['$[]'](\"subs\"));\n          if ($truthy((type = pass['$[]'](\"type\")))) {\n            subbed_text = $$($nesting, 'Inline').$new(self, \"quoted\", subbed_text, $hash2([\"type\", \"attributes\"], {\"type\": type, \"attributes\": pass['$[]'](\"attributes\")})).$convert()};\n          if ($truthy(subbed_text['$include?']($$($nesting, 'PASS_START')))) {\n            return self.$restore_passthroughs(subbed_text, false)\n          } else {\n            return subbed_text\n          };}, TMP_12.$$s = self, TMP_12.$$arity = 0, TMP_12));\n        } finally {\n          (function() {if ($truthy(outer)) {\n            return self.passthroughs.$clear()\n          } else {\n            return nil\n          }; return nil; })()\n        }; })()\n      }, TMP_Substitutors_restore_passthroughs_13.$$arity = -2);\n      if ($$($nesting, 'RUBY_ENGINE')['$=='](\"opal\")) {\n        \n        \n        Opal.def(self, '$sub_quotes', TMP_Substitutors_sub_quotes_16 = function $$sub_quotes(text) {\n          var TMP_14, self = this, compat = nil;\n          if (self.document == null) self.document = nil;\n\n          \n          if ($truthy($$($nesting, 'QuotedTextSniffRx')['$[]']((compat = self.document.$compat_mode()))['$match?'](text))) {\n            $send($$($nesting, 'QUOTE_SUBS')['$[]'](compat), 'each', [], (TMP_14 = function(type, scope, pattern){var self = TMP_14.$$s || this, TMP_15;\nif (type == null) type = nil;if (scope == null) scope = nil;if (pattern == null) pattern = nil;\n            return (text = $send(text, 'gsub', [pattern], (TMP_15 = function(){var self = TMP_15.$$s || this;\n                if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n              return self.$convert_quoted_text($gvars[\"~\"], type, scope)}, TMP_15.$$s = self, TMP_15.$$arity = 0, TMP_15)))}, TMP_14.$$s = self, TMP_14.$$arity = 3, TMP_14))};\n          return text;\n        }, TMP_Substitutors_sub_quotes_16.$$arity = 1);\n        \n        Opal.def(self, '$sub_replacements', TMP_Substitutors_sub_replacements_19 = function $$sub_replacements(text) {\n          var TMP_17, self = this;\n\n          \n          if ($truthy($$($nesting, 'ReplaceableTextRx')['$match?'](text))) {\n            $send($$($nesting, 'REPLACEMENTS'), 'each', [], (TMP_17 = function(pattern, replacement, restore){var self = TMP_17.$$s || this, TMP_18;\nif (pattern == null) pattern = nil;if (replacement == null) replacement = nil;if (restore == null) restore = nil;\n            return (text = $send(text, 'gsub', [pattern], (TMP_18 = function(){var self = TMP_18.$$s || this;\n                if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n              return self.$do_replacement($gvars[\"~\"], replacement, restore)}, TMP_18.$$s = self, TMP_18.$$arity = 0, TMP_18)))}, TMP_17.$$s = self, TMP_17.$$arity = 3, TMP_17))};\n          return text;\n        }, TMP_Substitutors_sub_replacements_19.$$arity = 1);\n        \n        Opal.def(self, '$sub_specialchars', TMP_Substitutors_sub_specialchars_20 = function $$sub_specialchars(text) {\n          var $a, $b, self = this;\n\n          if ($truthy(($truthy($a = ($truthy($b = text['$include?'](\"<\")) ? $b : text['$include?'](\"&\"))) ? $a : text['$include?'](\">\")))) {\n            \n            return text.$gsub($$($nesting, 'SpecialCharsRx'), $$($nesting, 'SpecialCharsTr'));\n          } else {\n            return text\n          }\n        }, TMP_Substitutors_sub_specialchars_20.$$arity = 1);\n      } else {\n        nil\n      };\n      Opal.alias(self, \"sub_specialcharacters\", \"sub_specialchars\");\n      \n      Opal.def(self, '$do_replacement', TMP_Substitutors_do_replacement_21 = function $$do_replacement(m, replacement, restore) {\n        var self = this, captured = nil, $case = nil;\n\n        if ($truthy((captured = m['$[]'](0))['$include?']($$($nesting, 'RS')))) {\n          return captured.$sub($$($nesting, 'RS'), \"\")\n        } else {\n          return (function() {$case = restore;\n          if (\"none\"['$===']($case)) {return replacement}\n          else if (\"bounding\"['$===']($case)) {return \"\" + (m['$[]'](1)) + (replacement) + (m['$[]'](2))}\n          else {return \"\" + (m['$[]'](1)) + (replacement)}})()\n        }\n      }, TMP_Substitutors_do_replacement_21.$$arity = 3);\n      \n      Opal.def(self, '$sub_attributes', TMP_Substitutors_sub_attributes_24 = function $$sub_attributes(data, opts) {\n        var $a, TMP_22, self = this, input_is_string = nil, doc_attrs = nil, result = nil;\n        if (self.document == null) self.document = nil;\n\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        \n        if ($truthy((input_is_string = $$$('::', 'String')['$==='](data)))) {\n          data = [data]};\n        $a = [self.document.$attributes(), []], (doc_attrs = $a[0]), (result = $a[1]), $a;\n        (function(){var $brk = Opal.new_brk(); try {return $send(data, 'each', [], (TMP_22 = function(line){var self = TMP_22.$$s || this, TMP_23, $b, $c, reject = nil, reject_if_empty = nil;\nif (line == null) line = nil;\n        \n          reject = (reject_if_empty = false);\n          if ($truthy(line['$include?']($$($nesting, 'ATTR_REF_HEAD')))) {\n            line = (function(){var $brk = Opal.new_brk(); try {return $send(line, 'gsub', [$$($nesting, 'AttributeReferenceRx')], (TMP_23 = function(){var self = TMP_23.$$s || this, $b, $c, $d, $case = nil, args = nil, _ = nil, value = nil, key = nil, attribute_missing = nil;\n              if (self.document == null) self.document = nil;\n\n            if ($truthy(($truthy($b = (($c = $gvars['~']) === nil ? nil : $c['$[]'](1))['$==']($$($nesting, 'RS'))) ? $b : (($c = $gvars['~']) === nil ? nil : $c['$[]'](4))['$==']($$($nesting, 'RS'))))) {\n                return \"\" + \"{\" + ((($b = $gvars['~']) === nil ? nil : $b['$[]'](2))) + \"}\"\n              } else if ($truthy((($b = $gvars['~']) === nil ? nil : $b['$[]'](3)))) {\n                return (function() {$case = (args = (($b = $gvars['~']) === nil ? nil : $b['$[]'](2)).$split(\":\", 3)).$shift();\n                if (\"set\"['$===']($case)) {\n                $c = $$($nesting, 'Parser').$store_attribute(args['$[]'](0), ($truthy($d = args['$[]'](1)) ? $d : \"\"), self.document), $b = Opal.to_ary($c), (_ = ($b[0] == null ? nil : $b[0])), (value = ($b[1] == null ? nil : $b[1])), $c;\n                if ($truthy(value)) {\n                } else if (doc_attrs.$fetch(\"attribute-undefined\", $$($nesting, 'Compliance').$attribute_undefined())['$=='](\"drop-line\")) {\n                  \n                  reject = true;\n                  \n                  Opal.brk(\"\", $brk);};\n                reject_if_empty = true;\n                return \"\";}\n                else if (\"counter2\"['$===']($case)) {\n                $send(self.document, 'counter', Opal.to_a(args));\n                reject_if_empty = true;\n                return \"\";}\n                else {return $send(self.document, 'counter', Opal.to_a(args))}})()\n              } else if ($truthy(doc_attrs['$key?']((key = (($b = $gvars['~']) === nil ? nil : $b['$[]'](2)).$downcase())))) {\n                return doc_attrs['$[]'](key)\n              } else if ($truthy($$($nesting, 'INTRINSIC_ATTRIBUTES')['$key?'](key))) {\n                return $$($nesting, 'INTRINSIC_ATTRIBUTES')['$[]'](key)\n              } else {\n                return (function() {$case = (attribute_missing = ($truthy($b = attribute_missing) ? $b : ($truthy($c = opts['$[]'](\"attribute_missing\")) ? $c : doc_attrs.$fetch(\"attribute-missing\", $$($nesting, 'Compliance').$attribute_missing()))));\n                if (\"drop\"['$===']($case)) {\n                reject_if_empty = true;\n                return \"\";}\n                else if (\"drop-line\"['$===']($case)) {\n                self.$warn(\"\" + \"asciidoctor: WARNING: dropping line containing reference to missing attribute: \" + (key));\n                reject = true;\n                \n                Opal.brk(\"\", $brk);}\n                else if (\"warn\"['$===']($case)) {\n                self.$warn(\"\" + \"asciidoctor: WARNING: skipping reference to missing attribute: \" + (key));\n                return (($b = $gvars['~']) === nil ? nil : $b['$[]'](0));}\n                else {return (($b = $gvars['~']) === nil ? nil : $b['$[]'](0))}})()\n              }}, TMP_23.$$s = self, TMP_23.$$brk = $brk, TMP_23.$$arity = 0, TMP_23))\n            } catch (err) { if (err === $brk) { return err.$v } else { throw err } }})()};\n          if ($truthy(($truthy($b = reject) ? $b : ($truthy($c = reject_if_empty) ? line['$empty?']() : $c)))) {\n            return nil\n          } else {\n            return result['$<<'](line)\n          };}, TMP_22.$$s = self, TMP_22.$$brk = $brk, TMP_22.$$arity = 1, TMP_22))\n        } catch (err) { if (err === $brk) { return err.$v } else { throw err } }})();\n        if ($truthy(input_is_string)) {\n          return $rb_times(result, $$($nesting, 'LF'))\n        } else {\n          return result\n        };\n      }, TMP_Substitutors_sub_attributes_24.$$arity = -2);\n      \n      Opal.def(self, '$sub_macros', TMP_Substitutors_sub_macros_41 = function $$sub_macros(source) {\n        var $a, $b, TMP_25, TMP_28, TMP_30, TMP_32, TMP_34, TMP_35, TMP_36, TMP_37, TMP_38, TMP_39, self = this, found = nil, found_square_bracket = nil, $writer = nil, found_colon = nil, found_macroish = nil, found_macroish_short = nil, doc_attrs = nil, use_link_attrs = nil, result = nil, extensions = nil;\n        if (self.document == null) self.document = nil;\n\n        \n        found = $hash2([], {});\n        found_square_bracket = (($writer = [\"square_bracket\", source['$include?'](\"[\")]), $send(found, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]);\n        found_colon = source['$include?'](\":\");\n        found_macroish = (($writer = [\"macroish\", ($truthy($a = found_square_bracket) ? found_colon : $a)]), $send(found, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]);\n        found_macroish_short = ($truthy($a = found_macroish) ? source['$include?'](\":[\") : $a);\n        doc_attrs = self.document.$attributes();\n        use_link_attrs = doc_attrs['$key?'](\"linkattrs\");\n        result = source;\n        if ($truthy(doc_attrs['$key?'](\"experimental\"))) {\n          \n          if ($truthy(($truthy($a = found_macroish_short) ? ($truthy($b = result['$include?'](\"kbd:\")) ? $b : result['$include?'](\"btn:\")) : $a))) {\n            result = $send(result, 'gsub', [$$($nesting, 'InlineKbdBtnMacroRx')], (TMP_25 = function(){var self = TMP_25.$$s || this, $c, TMP_26, TMP_27, keys = nil, delim_idx = nil, delim = nil;\n\n            if ($truthy((($c = $gvars['~']) === nil ? nil : $c['$[]'](1)))) {\n                return (($c = $gvars['~']) === nil ? nil : $c['$[]'](0)).$slice(1, (($c = $gvars['~']) === nil ? nil : $c['$[]'](0)).$length())\n              } else if ((($c = $gvars['~']) === nil ? nil : $c['$[]'](2))['$=='](\"kbd\")) {\n                \n                if ($truthy((keys = (($c = $gvars['~']) === nil ? nil : $c['$[]'](3)).$strip())['$include?']($$($nesting, 'R_SB')))) {\n                  keys = keys.$gsub($$($nesting, 'ESC_R_SB'), $$($nesting, 'R_SB'))};\n                if ($truthy(($truthy($c = $rb_gt(keys.$length(), 1)) ? (delim_idx = (function() {if ($truthy((delim_idx = keys.$index(\",\", 1)))) {\n                  return [delim_idx, keys.$index(\"+\", 1)].$compact().$min()\n                } else {\n                  \n                  return keys.$index(\"+\", 1);\n                }; return nil; })()) : $c))) {\n                  \n                  delim = keys.$slice(delim_idx, 1);\n                  if ($truthy(keys['$end_with?'](delim))) {\n                    \n                    keys = $send(keys.$chop().$split(delim, -1), 'map', [], (TMP_26 = function(key){var self = TMP_26.$$s || this;\nif (key == null) key = nil;\n                    return key.$strip()}, TMP_26.$$s = self, TMP_26.$$arity = 1, TMP_26));\n                    \n                    $writer = [-1, \"\" + (keys['$[]'](-1)) + (delim)];\n                    $send(keys, '[]=', Opal.to_a($writer));\n                    $writer[$rb_minus($writer[\"length\"], 1)];;\n                  } else {\n                    keys = $send(keys.$split(delim), 'map', [], (TMP_27 = function(key){var self = TMP_27.$$s || this;\nif (key == null) key = nil;\n                    return key.$strip()}, TMP_27.$$s = self, TMP_27.$$arity = 1, TMP_27))\n                  };\n                } else {\n                  keys = [keys]\n                };\n                return $$($nesting, 'Inline').$new(self, \"kbd\", nil, $hash2([\"attributes\"], {\"attributes\": $hash2([\"keys\"], {\"keys\": keys})})).$convert();\n              } else {\n                return $$($nesting, 'Inline').$new(self, \"button\", self.$unescape_bracketed_text((($c = $gvars['~']) === nil ? nil : $c['$[]'](3)))).$convert()\n              }}, TMP_25.$$s = self, TMP_25.$$arity = 0, TMP_25))};\n          if ($truthy(($truthy($a = found_macroish) ? result['$include?'](\"menu:\") : $a))) {\n            result = $send(result, 'gsub', [$$($nesting, 'InlineMenuMacroRx')], (TMP_28 = function(){var self = TMP_28.$$s || this, $c, TMP_29, m = nil, captured = nil, menu = nil, items = nil, delim = nil, submenus = nil, menuitem = nil;\n              if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n            \n              m = $gvars[\"~\"];\n              if ($truthy((captured = m['$[]'](0))['$start_with?']($$($nesting, 'RS')))) {\n                return captured['$[]']($range(1, -1, false));};\n              $c = [m['$[]'](1), m['$[]'](2)], (menu = $c[0]), (items = $c[1]), $c;\n              if ($truthy(items)) {\n                \n                if ($truthy(items['$include?']($$($nesting, 'R_SB')))) {\n                  items = items.$gsub($$($nesting, 'ESC_R_SB'), $$($nesting, 'R_SB'))};\n                if ($truthy((delim = (function() {if ($truthy(items['$include?'](\"&gt;\"))) {\n                  return \"&gt;\"\n                } else {\n                  \n                  if ($truthy(items['$include?'](\",\"))) {\n                    return \",\"\n                  } else {\n                    return nil\n                  };\n                }; return nil; })()))) {\n                  \n                  submenus = $send(items.$split(delim), 'map', [], (TMP_29 = function(it){var self = TMP_29.$$s || this;\nif (it == null) it = nil;\n                  return it.$strip()}, TMP_29.$$s = self, TMP_29.$$arity = 1, TMP_29));\n                  menuitem = submenus.$pop();\n                } else {\n                  $c = [[], items.$rstrip()], (submenus = $c[0]), (menuitem = $c[1]), $c\n                };\n              } else {\n                $c = [[], nil], (submenus = $c[0]), (menuitem = $c[1]), $c\n              };\n              return $$($nesting, 'Inline').$new(self, \"menu\", nil, $hash2([\"attributes\"], {\"attributes\": $hash2([\"menu\", \"submenus\", \"menuitem\"], {\"menu\": menu, \"submenus\": submenus, \"menuitem\": menuitem})})).$convert();}, TMP_28.$$s = self, TMP_28.$$arity = 0, TMP_28))};\n          if ($truthy(($truthy($a = result['$include?'](\"\\\"\")) ? result['$include?'](\"&gt;\") : $a))) {\n            result = $send(result, 'gsub', [$$($nesting, 'MenuInlineRx')], (TMP_30 = function(){var self = TMP_30.$$s || this, $c, $d, TMP_31, m = nil, captured = nil, input = nil, menu = nil, submenus = nil, menuitem = nil;\n              if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n            \n              m = $gvars[\"~\"];\n              if ($truthy((captured = m['$[]'](0))['$start_with?']($$($nesting, 'RS')))) {\n                return captured['$[]']($range(1, -1, false));};\n              input = m['$[]'](1);\n              $d = $send(input.$split(\"&gt;\"), 'map', [], (TMP_31 = function(it){var self = TMP_31.$$s || this;\nif (it == null) it = nil;\n              return it.$strip()}, TMP_31.$$s = self, TMP_31.$$arity = 1, TMP_31)), $c = Opal.to_ary($d), (menu = ($c[0] == null ? nil : $c[0])), (submenus = $slice.call($c, 1)), $d;\n              menuitem = submenus.$pop();\n              return $$($nesting, 'Inline').$new(self, \"menu\", nil, $hash2([\"attributes\"], {\"attributes\": $hash2([\"menu\", \"submenus\", \"menuitem\"], {\"menu\": menu, \"submenus\": submenus, \"menuitem\": menuitem})})).$convert();}, TMP_30.$$s = self, TMP_30.$$arity = 0, TMP_30))};};\n        if ($truthy(($truthy($a = (extensions = self.document.$extensions())) ? extensions['$inline_macros?']() : $a))) {\n          $send(extensions.$inline_macros(), 'each', [], (TMP_32 = function(extension){var self = TMP_32.$$s || this, TMP_33;\nif (extension == null) extension = nil;\n          return (result = $send(result, 'gsub', [extension.$instance().$regexp()], (TMP_33 = function(){var self = TMP_33.$$s || this, $c, m = nil, target = nil, content = nil, extconf = nil, attributes = nil, replacement = nil;\n              if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n            \n              m = $gvars[\"~\"];\n              if ($truthy(m['$[]'](0)['$start_with?']($$($nesting, 'RS')))) {\n                return m['$[]'](0)['$[]']($range(1, -1, false));};\n              if ($truthy((function() { try {\n                return m.$names()\n              } catch ($err) {\n                if (Opal.rescue($err, [$$($nesting, 'StandardError')])) {\n                  try {\n                    return []\n                  } finally { Opal.pop_exception() }\n                } else { throw $err; }\n              }})()['$empty?']())) {\n                $c = [m['$[]'](1), m['$[]'](2), extension.$config()], (target = $c[0]), (content = $c[1]), (extconf = $c[2]), $c\n              } else {\n                $c = [(function() { try {\n                  return m['$[]'](\"target\")\n                } catch ($err) {\n                  if (Opal.rescue($err, [$$($nesting, 'StandardError')])) {\n                    try {\n                      return nil\n                    } finally { Opal.pop_exception() }\n                  } else { throw $err; }\n                }})(), (function() { try {\n                  return m['$[]'](\"content\")\n                } catch ($err) {\n                  if (Opal.rescue($err, [$$($nesting, 'StandardError')])) {\n                    try {\n                      return nil\n                    } finally { Opal.pop_exception() }\n                  } else { throw $err; }\n                }})(), extension.$config()], (target = $c[0]), (content = $c[1]), (extconf = $c[2]), $c\n              };\n              attributes = (function() {if ($truthy((attributes = extconf['$[]'](\"default_attrs\")))) {\n                return attributes.$dup()\n              } else {\n                return $hash2([], {})\n              }; return nil; })();\n              if ($truthy(content['$nil_or_empty?']())) {\n                if ($truthy(($truthy($c = content) ? extconf['$[]'](\"content_model\")['$!='](\"attributes\") : $c))) {\n                  \n                  $writer = [\"text\", content];\n                  $send(attributes, '[]=', Opal.to_a($writer));\n                  $writer[$rb_minus($writer[\"length\"], 1)];}\n              } else {\n                \n                content = self.$unescape_bracketed_text(content);\n                if (extconf['$[]'](\"content_model\")['$=='](\"attributes\")) {\n                  self.$parse_attributes(content, ($truthy($c = extconf['$[]'](\"pos_attrs\")) ? $c : []), $hash2([\"sub_result\", \"into\"], {\"sub_result\": false, \"into\": attributes}))\n                } else {\n                  \n                  $writer = [\"text\", content];\n                  $send(attributes, '[]=', Opal.to_a($writer));\n                  $writer[$rb_minus($writer[\"length\"], 1)];\n                };\n              };\n              replacement = extension.$process_method()['$[]'](self, ($truthy($c = target) ? $c : content), attributes);\n              if ($truthy($$($nesting, 'Inline')['$==='](replacement))) {\n                return replacement.$convert()\n              } else {\n                return replacement\n              };}, TMP_33.$$s = self, TMP_33.$$arity = 0, TMP_33)))}, TMP_32.$$s = self, TMP_32.$$arity = 1, TMP_32))};\n        if ($truthy(($truthy($a = found_macroish) ? ($truthy($b = result['$include?'](\"image:\")) ? $b : result['$include?'](\"icon:\")) : $a))) {\n          result = $send(result, 'gsub', [$$($nesting, 'InlineImageMacroRx')], (TMP_34 = function(){var self = TMP_34.$$s || this, $c, m = nil, captured = nil, type = nil, posattrs = nil, target = nil, attrs = nil;\n            if (self.document == null) self.document = nil;\n            if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n          \n            m = $gvars[\"~\"];\n            if ($truthy((captured = (($c = $gvars['~']) === nil ? nil : $c['$[]'](0)))['$start_with?']($$($nesting, 'RS')))) {\n              return captured['$[]']($range(1, -1, false));};\n            if ($truthy(captured['$start_with?'](\"icon:\"))) {\n              $c = [\"icon\", [\"size\"]], (type = $c[0]), (posattrs = $c[1]), $c\n            } else {\n              $c = [\"image\", [\"alt\", \"width\", \"height\"]], (type = $c[0]), (posattrs = $c[1]), $c\n            };\n            if ($truthy((target = m['$[]'](1))['$include?']($$($nesting, 'ATTR_REF_HEAD')))) {\n              target = self.$sub_attributes(target)};\n            if (type['$=='](\"icon\")) {\n            } else {\n              self.document.$register(\"images\", target)\n            };\n            attrs = self.$parse_attributes(m['$[]'](2), posattrs, $hash2([\"unescape_input\"], {\"unescape_input\": true}));\n            ($truthy($c = attrs['$[]'](\"alt\")) ? $c : (($writer = [\"alt\", (($writer = [\"default-alt\", $$($nesting, 'Helpers').$basename(target, true).$tr(\"_-\", \" \")]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n            return $$($nesting, 'Inline').$new(self, \"image\", nil, $hash2([\"type\", \"target\", \"attributes\"], {\"type\": type, \"target\": target, \"attributes\": attrs})).$convert();}, TMP_34.$$s = self, TMP_34.$$arity = 0, TMP_34))};\n        if ($truthy(($truthy($a = ($truthy($b = result['$include?'](\"((\")) ? result['$include?'](\"))\") : $b)) ? $a : ($truthy($b = found_macroish_short) ? result['$include?'](\"indexterm\") : $b)))) {\n          result = $send(result, 'gsub', [$$($nesting, 'InlineIndextermMacroRx')], (TMP_35 = function(){var self = TMP_35.$$s || this, $c, m = nil, $case = nil, terms = nil, term = nil, text = nil, visible = nil, before = nil, after = nil;\n            if (self.document == null) self.document = nil;\n            if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n          \n            m = $gvars[\"~\"];\n            if ($truthy(m['$[]'](0)['$start_with?']($$($nesting, 'RS')))) {\n              return m['$[]'](0)['$[]']($range(1, -1, false));};\n            return (function() {$case = m['$[]'](1);\n            if (\"indexterm\"['$===']($case)) {\n            terms = self.$split_simple_csv(self.$normalize_string(m['$[]'](2), true));\n            self.document.$register(\"indexterms\", terms);\n            return $$($nesting, 'Inline').$new(self, \"indexterm\", nil, $hash2([\"attributes\"], {\"attributes\": $hash2([\"terms\"], {\"terms\": terms})})).$convert();}\n            else if (\"indexterm2\"['$===']($case)) {\n            term = self.$normalize_string(m['$[]'](2), true);\n            self.document.$register(\"indexterms\", [term]);\n            return $$($nesting, 'Inline').$new(self, \"indexterm\", term, $hash2([\"type\"], {\"type\": \"visible\"})).$convert();}\n            else {\n            $c = [m['$[]'](3), true, nil, nil], (text = $c[0]), (visible = $c[1]), (before = $c[2]), (after = $c[3]), $c;\n            if ($truthy(text['$start_with?'](\"(\"))) {\n              if ($truthy(text['$end_with?'](\")\"))) {\n                $c = [text.$slice(1, $rb_minus(text.$length(), 2)), false], (text = $c[0]), (visible = $c[1]), $c\n              } else {\n                $c = [text.$slice(1, $rb_minus(text.$length(), 1)), \"(\", \"\"], (text = $c[0]), (before = $c[1]), (after = $c[2]), $c\n              }\n            } else if ($truthy(text['$end_with?'](\")\"))) {\n              if ($truthy(text['$start_with?'](\"(\"))) {\n                $c = [text.$slice(1, $rb_minus(text.$length(), 2)), false], (text = $c[0]), (visible = $c[1]), $c\n              } else {\n                $c = [text.$slice(0, $rb_minus(text.$length(), 1)), \"\", \")\"], (text = $c[0]), (before = $c[1]), (after = $c[2]), $c\n              }};\n            if ($truthy(visible)) {\n              \n              term = self.$normalize_string(text);\n              self.document.$register(\"indexterms\", [term]);\n              result = $$($nesting, 'Inline').$new(self, \"indexterm\", term, $hash2([\"type\"], {\"type\": \"visible\"})).$convert();\n            } else {\n              \n              terms = self.$split_simple_csv(self.$normalize_string(text));\n              self.document.$register(\"indexterms\", terms);\n              result = $$($nesting, 'Inline').$new(self, \"indexterm\", nil, $hash2([\"attributes\"], {\"attributes\": $hash2([\"terms\"], {\"terms\": terms})})).$convert();\n            };\n            if ($truthy(before)) {\n              return \"\" + (before) + (result) + (after)\n            } else {\n              return result\n            };}})();}, TMP_35.$$s = self, TMP_35.$$arity = 0, TMP_35))};\n        if ($truthy(($truthy($a = found_colon) ? result['$include?'](\"://\") : $a))) {\n          result = $send(result, 'gsub', [$$($nesting, 'LinkInlineRx')], (TMP_36 = function(){var self = TMP_36.$$s || this, $c, $d, $e, m = nil, macro = nil, prefix = nil, target = nil, text = nil, suffix = nil, $case = nil, attrs = nil, link_opts = nil;\n            if (self.document == null) self.document = nil;\n            if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n          \n            m = $gvars[\"~\"];\n            if ($truthy(m['$[]'](2)['$start_with?']($$($nesting, 'RS')))) {\n              return \"\" + (m['$[]'](1)) + (m['$[]'](2)['$[]']($range(1, -1, false))) + (m['$[]'](3));};\n            $c = [m['$[]'](1), m['$[]'](2), ($truthy($d = (macro = m['$[]'](3))) ? $d : \"\"), \"\"], (prefix = $c[0]), (target = $c[1]), (text = $c[2]), (suffix = $c[3]), $c;\n            if (prefix['$=='](\"link:\")) {\n              if ($truthy(macro)) {\n                prefix = \"\"\n              } else {\n                return m['$[]'](0);\n              }};\n            if ($truthy(($truthy($c = macro) ? $c : $$($nesting, 'UriTerminatorRx')['$!~'](target)))) {\n            } else {\n              $case = (($c = $gvars['~']) === nil ? nil : $c['$[]'](0));\n              if (\")\"['$===']($case)) {\n              target = target.$chop();\n              suffix = \")\";}\n              else if (\";\"['$===']($case)) {if ($truthy(($truthy($c = prefix['$start_with?'](\"&lt;\")) ? target['$end_with?'](\"&gt;\") : $c))) {\n                \n                prefix = prefix['$[]']($range(4, -1, false));\n                target = target['$[]']($range(0, -4, true));\n              } else if ($truthy((target = target.$chop())['$end_with?'](\")\"))) {\n                \n                target = target.$chop();\n                suffix = \");\";\n              } else {\n                suffix = \";\"\n              }}\n              else if (\":\"['$===']($case)) {if ($truthy((target = target.$chop())['$end_with?'](\")\"))) {\n                \n                target = target.$chop();\n                suffix = \"):\";\n              } else {\n                suffix = \":\"\n              }}\n            };\n            $c = [nil, $hash2([\"type\"], {\"type\": \"link\"})], (attrs = $c[0]), (link_opts = $c[1]), $c;\n            if ($truthy(text['$empty?']())) {\n            } else {\n              \n              if ($truthy(text['$include?']($$($nesting, 'R_SB')))) {\n                text = text.$gsub($$($nesting, 'ESC_R_SB'), $$($nesting, 'R_SB'))};\n              if ($truthy(($truthy($c = use_link_attrs) ? ($truthy($d = text['$start_with?'](\"\\\"\")) ? $d : ($truthy($e = text['$include?'](\",\")) ? text['$include?'](\"=\") : $e)) : $c))) {\n                \n                attrs = self.$parse_attributes(text, []);\n                if ($truthy(attrs['$key?'](\"id\"))) {\n                  \n                  $writer = [\"id\", attrs.$delete(\"id\")];\n                  $send(link_opts, '[]=', Opal.to_a($writer));\n                  $writer[$rb_minus($writer[\"length\"], 1)];};\n                text = ($truthy($c = attrs['$[]'](1)) ? $c : \"\");};\n              if ($truthy(text['$end_with?'](\"^\"))) {\n                \n                text = text.$chop();\n                if ($truthy(attrs)) {\n                  ($truthy($c = attrs['$[]'](\"window\")) ? $c : (($writer = [\"window\", \"_blank\"]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))\n                } else {\n                  attrs = $hash2([\"window\"], {\"window\": \"_blank\"})\n                };};\n            };\n            if ($truthy(text['$empty?']())) {\n              \n              text = (function() {if ($truthy(doc_attrs['$key?'](\"hide-uri-scheme\"))) {\n                \n                return target.$sub($$($nesting, 'UriSniffRx'), \"\");\n              } else {\n                return target\n              }; return nil; })();\n              if ($truthy(attrs)) {\n                \n                $writer = [\"role\", (function() {if ($truthy(attrs['$key?'](\"role\"))) {\n                  return \"\" + \"bare \" + (attrs['$[]'](\"role\"))\n                } else {\n                  return \"bare\"\n                }; return nil; })()];\n                $send(attrs, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];\n              } else {\n                attrs = $hash2([\"role\"], {\"role\": \"bare\"})\n              };};\n            self.document.$register(\"links\", (($writer = [\"target\", target]), $send(link_opts, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n            if ($truthy(attrs)) {\n              \n              $writer = [\"attributes\", attrs];\n              $send(link_opts, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];};\n            return \"\" + (prefix) + ($$($nesting, 'Inline').$new(self, \"anchor\", text, link_opts).$convert()) + (suffix);}, TMP_36.$$s = self, TMP_36.$$arity = 0, TMP_36))};\n        if ($truthy(($truthy($a = found_macroish) ? ($truthy($b = result['$include?'](\"link:\")) ? $b : result['$include?'](\"mailto:\")) : $a))) {\n          result = $send(result, 'gsub', [$$($nesting, 'InlineLinkMacroRx')], (TMP_37 = function(){var self = TMP_37.$$s || this, $c, $d, $e, $f, m = nil, target = nil, mailto = nil, attrs = nil, link_opts = nil, text = nil;\n            if (self.document == null) self.document = nil;\n            if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n          \n            m = $gvars[\"~\"];\n            if ($truthy(m['$[]'](0)['$start_with?']($$($nesting, 'RS')))) {\n              return m['$[]'](0)['$[]']($range(1, -1, false));};\n            target = (function() {if ($truthy((mailto = m['$[]'](1)))) {\n              return \"\" + \"mailto:\" + (m['$[]'](2))\n            } else {\n              return m['$[]'](2)\n            }; return nil; })();\n            $c = [nil, $hash2([\"type\"], {\"type\": \"link\"})], (attrs = $c[0]), (link_opts = $c[1]), $c;\n            if ($truthy((text = m['$[]'](3))['$empty?']())) {\n            } else {\n              \n              if ($truthy(text['$include?']($$($nesting, 'R_SB')))) {\n                text = text.$gsub($$($nesting, 'ESC_R_SB'), $$($nesting, 'R_SB'))};\n              if ($truthy(($truthy($c = use_link_attrs) ? ($truthy($d = text['$start_with?'](\"\\\"\")) ? $d : ($truthy($e = text['$include?'](\",\")) ? ($truthy($f = mailto) ? $f : text['$include?'](\"=\")) : $e)) : $c))) {\n                \n                attrs = self.$parse_attributes(text, []);\n                if ($truthy(attrs['$key?'](\"id\"))) {\n                  \n                  $writer = [\"id\", attrs.$delete(\"id\")];\n                  $send(link_opts, '[]=', Opal.to_a($writer));\n                  $writer[$rb_minus($writer[\"length\"], 1)];};\n                if ($truthy(mailto)) {\n                  if ($truthy(attrs['$key?'](2))) {\n                    if ($truthy(attrs['$key?'](3))) {\n                      target = \"\" + (target) + \"?subject=\" + ($$($nesting, 'Helpers').$uri_encode(attrs['$[]'](2))) + \"&amp;body=\" + ($$($nesting, 'Helpers').$uri_encode(attrs['$[]'](3)))\n                    } else {\n                      target = \"\" + (target) + \"?subject=\" + ($$($nesting, 'Helpers').$uri_encode(attrs['$[]'](2)))\n                    }}};\n                text = ($truthy($c = attrs['$[]'](1)) ? $c : \"\");};\n              if ($truthy(text['$end_with?'](\"^\"))) {\n                \n                text = text.$chop();\n                if ($truthy(attrs)) {\n                  ($truthy($c = attrs['$[]'](\"window\")) ? $c : (($writer = [\"window\", \"_blank\"]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))\n                } else {\n                  attrs = $hash2([\"window\"], {\"window\": \"_blank\"})\n                };};\n            };\n            if ($truthy(text['$empty?']())) {\n              if ($truthy(mailto)) {\n                text = m['$[]'](2)\n              } else {\n                \n                text = (function() {if ($truthy(doc_attrs['$key?'](\"hide-uri-scheme\"))) {\n                  \n                  return target.$sub($$($nesting, 'UriSniffRx'), \"\");\n                } else {\n                  return target\n                }; return nil; })();\n                if ($truthy(attrs)) {\n                  \n                  $writer = [\"role\", (function() {if ($truthy(attrs['$key?'](\"role\"))) {\n                    return \"\" + \"bare \" + (attrs['$[]'](\"role\"))\n                  } else {\n                    return \"bare\"\n                  }; return nil; })()];\n                  $send(attrs, '[]=', Opal.to_a($writer));\n                  $writer[$rb_minus($writer[\"length\"], 1)];\n                } else {\n                  attrs = $hash2([\"role\"], {\"role\": \"bare\"})\n                };\n              }};\n            self.document.$register(\"links\", (($writer = [\"target\", target]), $send(link_opts, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n            if ($truthy(attrs)) {\n              \n              $writer = [\"attributes\", attrs];\n              $send(link_opts, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];};\n            return $$($nesting, 'Inline').$new(self, \"anchor\", text, link_opts).$convert();}, TMP_37.$$s = self, TMP_37.$$arity = 0, TMP_37))};\n        if ($truthy(result['$include?'](\"@\"))) {\n          result = $send(result, 'gsub', [$$($nesting, 'EmailInlineRx')], (TMP_38 = function(){var self = TMP_38.$$s || this, $c, $d, address = nil, tip = nil, target = nil;\n            if (self.document == null) self.document = nil;\n\n          \n            $c = [(($d = $gvars['~']) === nil ? nil : $d['$[]'](0)), (($d = $gvars['~']) === nil ? nil : $d['$[]'](1))], (address = $c[0]), (tip = $c[1]), $c;\n            if ($truthy(tip)) {\n              return (function() {if (tip['$==']($$($nesting, 'RS'))) {\n                return address['$[]']($range(1, -1, false))\n              } else {\n                return address\n              }; return nil; })();};\n            target = \"\" + \"mailto:\" + (address);\n            self.document.$register(\"links\", target);\n            return $$($nesting, 'Inline').$new(self, \"anchor\", address, $hash2([\"type\", \"target\"], {\"type\": \"link\", \"target\": target})).$convert();}, TMP_38.$$s = self, TMP_38.$$arity = 0, TMP_38))};\n        if ($truthy(($truthy($a = found_macroish_short) ? result['$include?'](\"footnote\") : $a))) {\n          result = $send(result, 'gsub', [$$($nesting, 'InlineFootnoteMacroRx')], (TMP_39 = function(){var self = TMP_39.$$s || this, $c, $d, TMP_40, m = nil, id = nil, text = nil, index = nil, type = nil, target = nil, footnote = nil;\n            if (self.document == null) self.document = nil;\n            if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n          \n            m = $gvars[\"~\"];\n            if ($truthy(m['$[]'](0)['$start_with?']($$($nesting, 'RS')))) {\n              return m['$[]'](0)['$[]']($range(1, -1, false));};\n            if (m['$[]'](1)['$=='](\"footnote\")) {\n              \n              id = nil;\n              text = self.$restore_passthroughs(self.$sub_inline_xrefs(self.$sub_inline_anchors(self.$normalize_string(m['$[]'](2), true))), false);\n              index = self.document.$counter(\"footnote-number\");\n              self.document.$register(\"footnotes\", $$$($$($nesting, 'Document'), 'Footnote').$new(index, id, text));\n              type = nil;\n              target = nil;\n            } else {\n              \n              $d = m['$[]'](2).$split(\",\", 2), $c = Opal.to_ary($d), (id = ($c[0] == null ? nil : $c[0])), (text = ($c[1] == null ? nil : $c[1])), $d;\n              id = id.$strip();\n              if ($truthy(text)) {\n                \n                text = self.$restore_passthroughs(self.$sub_inline_xrefs(self.$sub_inline_anchors(self.$normalize_string(text, true))), false);\n                index = self.document.$counter(\"footnote-number\");\n                self.document.$register(\"footnotes\", $$$($$($nesting, 'Document'), 'Footnote').$new(index, id, text));\n                type = \"ref\";\n                target = nil;\n              } else {\n                \n                if ($truthy((footnote = $send(self.document.$footnotes(), 'find', [], (TMP_40 = function(fn){var self = TMP_40.$$s || this;\nif (fn == null) fn = nil;\n                return fn.$id()['$=='](id)}, TMP_40.$$s = self, TMP_40.$$arity = 1, TMP_40))))) {\n                  \n                  index = footnote.$index();\n                  text = footnote.$text();\n                } else {\n                  \n                  index = nil;\n                  text = id;\n                };\n                target = id;\n                id = nil;\n                type = \"xref\";\n              };\n            };\n            return $$($nesting, 'Inline').$new(self, \"footnote\", text, $hash2([\"attributes\", \"id\", \"target\", \"type\"], {\"attributes\": $hash2([\"index\"], {\"index\": index}), \"id\": id, \"target\": target, \"type\": type})).$convert();}, TMP_39.$$s = self, TMP_39.$$arity = 0, TMP_39))};\n        return self.$sub_inline_xrefs(self.$sub_inline_anchors(result, found), found);\n      }, TMP_Substitutors_sub_macros_41.$$arity = 1);\n      \n      Opal.def(self, '$sub_inline_anchors', TMP_Substitutors_sub_inline_anchors_44 = function $$sub_inline_anchors(text, found) {\n        var $a, TMP_42, $b, $c, TMP_43, self = this;\n        if (self.context == null) self.context = nil;\n        if (self.parent == null) self.parent = nil;\n\n        if (found == null) {\n          found = nil;\n        }\n        \n        if ($truthy((($a = self.context['$=='](\"list_item\")) ? self.parent.$style()['$=='](\"bibliography\") : self.context['$=='](\"list_item\")))) {\n          text = $send(text, 'sub', [$$($nesting, 'InlineBiblioAnchorRx')], (TMP_42 = function(){var self = TMP_42.$$s || this, $b, $c;\n\n          return $$($nesting, 'Inline').$new(self, \"anchor\", \"\" + \"[\" + (($truthy($b = (($c = $gvars['~']) === nil ? nil : $c['$[]'](2))) ? $b : (($c = $gvars['~']) === nil ? nil : $c['$[]'](1)))) + \"]\", $hash2([\"type\", \"id\", \"target\"], {\"type\": \"bibref\", \"id\": (($b = $gvars['~']) === nil ? nil : $b['$[]'](1)), \"target\": (($b = $gvars['~']) === nil ? nil : $b['$[]'](1))})).$convert()}, TMP_42.$$s = self, TMP_42.$$arity = 0, TMP_42))};\n        if ($truthy(($truthy($a = ($truthy($b = ($truthy($c = found['$!']()) ? $c : found['$[]'](\"square_bracket\"))) ? text['$include?'](\"[[\") : $b)) ? $a : ($truthy($b = ($truthy($c = found['$!']()) ? $c : found['$[]'](\"macroish\"))) ? text['$include?'](\"or:\") : $b)))) {\n          text = $send(text, 'gsub', [$$($nesting, 'InlineAnchorRx')], (TMP_43 = function(){var self = TMP_43.$$s || this, $d, $e, id = nil, reftext = nil;\n\n          \n            if ($truthy((($d = $gvars['~']) === nil ? nil : $d['$[]'](1)))) {\n              return (($d = $gvars['~']) === nil ? nil : $d['$[]'](0)).$slice(1, (($d = $gvars['~']) === nil ? nil : $d['$[]'](0)).$length());};\n            if ($truthy((id = (($d = $gvars['~']) === nil ? nil : $d['$[]'](2))))) {\n              reftext = (($d = $gvars['~']) === nil ? nil : $d['$[]'](3))\n            } else {\n              \n              id = (($d = $gvars['~']) === nil ? nil : $d['$[]'](4));\n              if ($truthy(($truthy($d = (reftext = (($e = $gvars['~']) === nil ? nil : $e['$[]'](5)))) ? reftext['$include?']($$($nesting, 'R_SB')) : $d))) {\n                reftext = reftext.$gsub($$($nesting, 'ESC_R_SB'), $$($nesting, 'R_SB'))};\n            };\n            return $$($nesting, 'Inline').$new(self, \"anchor\", reftext, $hash2([\"type\", \"id\", \"target\"], {\"type\": \"ref\", \"id\": id, \"target\": id})).$convert();}, TMP_43.$$s = self, TMP_43.$$arity = 0, TMP_43))};\n        return text;\n      }, TMP_Substitutors_sub_inline_anchors_44.$$arity = -2);\n      \n      Opal.def(self, '$sub_inline_xrefs', TMP_Substitutors_sub_inline_xrefs_46 = function $$sub_inline_xrefs(text, found) {\n        var $a, $b, TMP_45, self = this;\n\n        if (found == null) {\n          found = nil;\n        }\n        \n        if ($truthy(($truthy($a = ($truthy($b = (function() {if ($truthy(found)) {\n          return found['$[]'](\"macroish\")\n        } else {\n          \n          return text['$include?'](\"[\");\n        }; return nil; })()) ? text['$include?'](\"xref:\") : $b)) ? $a : ($truthy($b = text['$include?'](\"&\")) ? text['$include?'](\"&lt;&lt;\") : $b)))) {\n          text = $send(text, 'gsub', [$$($nesting, 'InlineXrefMacroRx')], (TMP_45 = function(){var self = TMP_45.$$s || this, $c, $d, m = nil, id = nil, reftext = nil, hash_idx = nil, fragment_len = nil, path = nil, fragment = nil, target = nil, refid = nil, ext_idx = nil, resolved_id = nil;\n            if (self.document == null) self.document = nil;\n            if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n            if ($gvars.VERBOSE == null) $gvars.VERBOSE = nil;\n\n          \n            m = $gvars[\"~\"];\n            if ($truthy(m['$[]'](0)['$start_with?']($$($nesting, 'RS')))) {\n              return m['$[]'](0)['$[]']($range(1, -1, false));};\n            if ($truthy((id = m['$[]'](1)))) {\n              \n              $d = id.$split(\",\", 2), $c = Opal.to_ary($d), (id = ($c[0] == null ? nil : $c[0])), (reftext = ($c[1] == null ? nil : $c[1])), $d;\n              if ($truthy(reftext)) {\n                reftext = reftext.$lstrip()};\n            } else {\n              \n              id = m['$[]'](2);\n              if ($truthy(($truthy($c = (reftext = m['$[]'](3))) ? reftext['$include?']($$($nesting, 'R_SB')) : $c))) {\n                reftext = reftext.$gsub($$($nesting, 'ESC_R_SB'), $$($nesting, 'R_SB'))};\n            };\n            if ($truthy((hash_idx = id.$index(\"#\")))) {\n              if ($truthy($rb_gt(hash_idx, 0))) {\n                if ($truthy($rb_gt((fragment_len = $rb_minus($rb_minus(id.$length(), hash_idx), 1)), 0))) {\n                  $c = [id.$slice(0, hash_idx), id.$slice($rb_plus(hash_idx, 1), fragment_len)], (path = $c[0]), (fragment = $c[1]), $c\n                } else {\n                  $c = [id.$slice(0, hash_idx), nil], (path = $c[0]), (fragment = $c[1]), $c\n                }\n              } else {\n                $c = [id, nil, id.$slice(1, id.$length())], (target = $c[0]), (path = $c[1]), (fragment = $c[2]), $c\n              }\n            } else {\n              $c = [nil, id], (path = $c[0]), (fragment = $c[1]), $c\n            };\n            if ($truthy(target)) {\n              refid = fragment\n            } else if ($truthy(path)) {\n              \n              if ($truthy(($truthy($c = (ext_idx = path.$rindex(\".\"))) ? $$($nesting, 'ASCIIDOC_EXTENSIONS')['$[]'](path.$slice(ext_idx, path.$length())) : $c))) {\n                path = path.$slice(0, ext_idx)};\n              if ($truthy(($truthy($c = self.document.$attributes()['$[]'](\"docname\")['$=='](path)) ? $c : self.document.$catalog()['$[]'](\"includes\")['$include?'](path)))) {\n                $c = [fragment, nil, \"\" + \"#\" + (fragment)], (refid = $c[0]), (path = $c[1]), (target = $c[2]), $c\n              } else {\n                \n                refid = (function() {if ($truthy(fragment)) {\n                  return \"\" + (path) + \"#\" + (fragment)\n                } else {\n                  return path\n                }; return nil; })();\n                path = \"\" + (self.document.$attributes()['$[]'](\"relfileprefix\")) + (path) + (self.document.$attributes().$fetch(\"outfilesuffix\", \".html\"));\n                target = (function() {if ($truthy(fragment)) {\n                  return \"\" + (path) + \"#\" + (fragment)\n                } else {\n                  return path\n                }; return nil; })();\n              };\n            } else {\n              \n              if ($truthy(self.document.$catalog()['$[]'](\"ids\")['$key?'](fragment))) {\n              } else if ($truthy(($truthy($c = ($truthy($d = fragment['$include?'](\" \")) ? $d : fragment.$downcase()['$!='](fragment))) ? (resolved_id = self.document.$catalog()['$[]'](\"ids\").$key(fragment)) : $c))) {\n                fragment = resolved_id\n              } else if ($truthy($gvars.VERBOSE)) {\n                self.$warn(\"\" + \"asciidoctor: WARNING: invalid reference: \" + (fragment))};\n              $c = [fragment, \"\" + \"#\" + (fragment)], (refid = $c[0]), (target = $c[1]), $c;\n            };\n            return $$($nesting, 'Inline').$new(self, \"anchor\", reftext, $hash2([\"type\", \"target\", \"attributes\"], {\"type\": \"xref\", \"target\": target, \"attributes\": $hash2([\"path\", \"fragment\", \"refid\"], {\"path\": path, \"fragment\": fragment, \"refid\": refid})})).$convert();}, TMP_45.$$s = self, TMP_45.$$arity = 0, TMP_45))};\n        return text;\n      }, TMP_Substitutors_sub_inline_xrefs_46.$$arity = -2);\n      \n      Opal.def(self, '$sub_callouts', TMP_Substitutors_sub_callouts_48 = function $$sub_callouts(text) {\n        var TMP_47, self = this, callout_rx = nil;\n\n        \n        callout_rx = (function() {if ($truthy(self['$attr?'](\"line-comment\"))) {\n          return new RegExp(\"\" + \"(?:\" + ($$$('::', 'Regexp').$escape(self.$attr(\"line-comment\"))) + \" )?\" + ($$($nesting, 'CalloutSourceRxt')))\n        } else {\n          return $$($nesting, 'CalloutSourceRx')\n        }; return nil; })();\n        return $send(text, 'gsub', [callout_rx], (TMP_47 = function(){var self = TMP_47.$$s || this, $a;\n          if (self.document == null) self.document = nil;\n\n        \n          if ($truthy((($a = $gvars['~']) === nil ? nil : $a['$[]'](1)))) {\n            return (($a = $gvars['~']) === nil ? nil : $a['$[]'](0)).$sub($$($nesting, 'RS'), \"\");};\n          return $$($nesting, 'Inline').$new(self, \"callout\", (($a = $gvars['~']) === nil ? nil : $a['$[]'](3)), $hash2([\"id\"], {\"id\": self.document.$callouts().$read_next_id()})).$convert();}, TMP_47.$$s = self, TMP_47.$$arity = 0, TMP_47));\n      }, TMP_Substitutors_sub_callouts_48.$$arity = 1);\n      \n      Opal.def(self, '$sub_post_replacements', TMP_Substitutors_sub_post_replacements_51 = function $$sub_post_replacements(text) {\n        var $a, TMP_49, TMP_50, self = this, lines = nil, last = nil;\n        if (self.document == null) self.document = nil;\n        if (self.attributes == null) self.attributes = nil;\n\n        if ($truthy(($truthy($a = self.document.$attributes()['$key?'](\"hardbreaks\")) ? $a : self.attributes['$key?'](\"hardbreaks-option\")))) {\n          \n          lines = text.$split($$($nesting, 'LF'), -1);\n          if ($truthy($rb_lt(lines.$size(), 2))) {\n            return text};\n          last = lines.$pop();\n          return $rb_times($send(lines, 'map', [], (TMP_49 = function(line){var self = TMP_49.$$s || this;\nif (line == null) line = nil;\n          return $$($nesting, 'Inline').$new(self, \"break\", (function() {if ($truthy(line['$end_with?']($$($nesting, 'HARD_LINE_BREAK')))) {\n              \n              return line.$slice(0, $rb_minus(line.$length(), 2));\n            } else {\n              return line\n            }; return nil; })(), $hash2([\"type\"], {\"type\": \"line\"})).$convert()}, TMP_49.$$s = self, TMP_49.$$arity = 1, TMP_49))['$<<'](last), $$($nesting, 'LF'));\n        } else if ($truthy(($truthy($a = text['$include?']($$($nesting, 'PLUS'))) ? text['$include?']($$($nesting, 'HARD_LINE_BREAK')) : $a))) {\n          return $send(text, 'gsub', [$$($nesting, 'HardLineBreakRx')], (TMP_50 = function(){var self = TMP_50.$$s || this, $b;\n\n          return $$($nesting, 'Inline').$new(self, \"break\", (($b = $gvars['~']) === nil ? nil : $b['$[]'](1)), $hash2([\"type\"], {\"type\": \"line\"})).$convert()}, TMP_50.$$s = self, TMP_50.$$arity = 0, TMP_50))\n        } else {\n          return text\n        }\n      }, TMP_Substitutors_sub_post_replacements_51.$$arity = 1);\n      \n      Opal.def(self, '$convert_quoted_text', TMP_Substitutors_convert_quoted_text_52 = function $$convert_quoted_text(match, type, scope) {\n        var $a, self = this, attrs = nil, unescaped_attrs = nil, attrlist = nil, id = nil, attributes = nil;\n\n        \n        if ($truthy(match['$[]'](0)['$start_with?']($$($nesting, 'RS')))) {\n          if ($truthy((($a = scope['$=='](\"constrained\")) ? (attrs = match['$[]'](2)) : scope['$=='](\"constrained\")))) {\n            unescaped_attrs = \"\" + \"[\" + (attrs) + \"]\"\n          } else {\n            return match['$[]'](0)['$[]']($range(1, -1, false))\n          }};\n        if (scope['$=='](\"constrained\")) {\n          if ($truthy(unescaped_attrs)) {\n            return \"\" + (unescaped_attrs) + ($$($nesting, 'Inline').$new(self, \"quoted\", match['$[]'](3), $hash2([\"type\"], {\"type\": type})).$convert())\n          } else {\n            \n            if ($truthy((attrlist = match['$[]'](2)))) {\n              \n              id = (attributes = self.$parse_quoted_text_attributes(attrlist)).$delete(\"id\");\n              if (type['$=='](\"mark\")) {\n                type = \"unquoted\"};};\n            return \"\" + (match['$[]'](1)) + ($$($nesting, 'Inline').$new(self, \"quoted\", match['$[]'](3), $hash2([\"type\", \"id\", \"attributes\"], {\"type\": type, \"id\": id, \"attributes\": attributes})).$convert());\n          }\n        } else {\n          \n          if ($truthy((attrlist = match['$[]'](1)))) {\n            \n            id = (attributes = self.$parse_quoted_text_attributes(attrlist)).$delete(\"id\");\n            if (type['$=='](\"mark\")) {\n              type = \"unquoted\"};};\n          return $$($nesting, 'Inline').$new(self, \"quoted\", match['$[]'](2), $hash2([\"type\", \"id\", \"attributes\"], {\"type\": type, \"id\": id, \"attributes\": attributes})).$convert();\n        };\n      }, TMP_Substitutors_convert_quoted_text_52.$$arity = 3);\n      \n      Opal.def(self, '$parse_quoted_text_attributes', TMP_Substitutors_parse_quoted_text_attributes_53 = function $$parse_quoted_text_attributes(str) {\n        var $a, $b, self = this, segments = nil, id = nil, more_roles = nil, roles = nil, attrs = nil, $writer = nil;\n\n        \n        if ($truthy(str['$include?']($$($nesting, 'ATTR_REF_HEAD')))) {\n          str = self.$sub_attributes(str)};\n        if ($truthy(str['$include?'](\",\"))) {\n          str = str.$slice(0, str.$index(\",\"))};\n        if ($truthy((str = str.$strip())['$empty?']())) {\n          return $hash2([], {})\n        } else if ($truthy(($truthy($a = str['$start_with?'](\".\", \"#\")) ? $$($nesting, 'Compliance').$shorthand_property_syntax() : $a))) {\n          \n          segments = str.$split(\"#\", 2);\n          if ($truthy($rb_gt(segments.$size(), 1))) {\n            $b = segments['$[]'](1).$split(\".\"), $a = Opal.to_ary($b), (id = ($a[0] == null ? nil : $a[0])), (more_roles = $slice.call($a, 1)), $b\n          } else {\n            \n            id = nil;\n            more_roles = [];\n          };\n          roles = (function() {if ($truthy(segments['$[]'](0)['$empty?']())) {\n            return []\n          } else {\n            return segments['$[]'](0).$split(\".\")\n          }; return nil; })();\n          if ($truthy($rb_gt(roles.$size(), 1))) {\n            roles.$shift()};\n          if ($truthy($rb_gt(more_roles.$size(), 0))) {\n            roles.$concat(more_roles)};\n          attrs = $hash2([], {});\n          if ($truthy(id)) {\n            \n            $writer = [\"id\", id];\n            $send(attrs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};\n          if ($truthy(roles['$empty?']())) {\n          } else {\n            \n            $writer = [\"role\", $rb_times(roles, \" \")];\n            $send(attrs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];\n          };\n          return attrs;\n        } else {\n          return $hash2([\"role\"], {\"role\": str})\n        };\n      }, TMP_Substitutors_parse_quoted_text_attributes_53.$$arity = 1);\n      \n      Opal.def(self, '$parse_attributes', TMP_Substitutors_parse_attributes_54 = function $$parse_attributes(attrline, posattrs, opts) {\n        var $a, self = this, block = nil, into = nil;\n        if (self.document == null) self.document = nil;\n\n        if (posattrs == null) {\n          posattrs = [\"role\"];\n        }\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        \n        if ($truthy(attrline)) {\n        } else {\n          return nil\n        };\n        if ($truthy(attrline['$empty?']())) {\n          return $hash2([], {})};\n        if ($truthy(($truthy($a = opts['$[]'](\"sub_input\")) ? attrline['$include?']($$($nesting, 'ATTR_REF_HEAD')) : $a))) {\n          attrline = self.document.$sub_attributes(attrline)};\n        if ($truthy(opts['$[]'](\"unescape_input\"))) {\n          attrline = self.$unescape_bracketed_text(attrline)};\n        block = (function() {if ($truthy(opts.$fetch(\"sub_result\", true))) {\n          return self\n        } else {\n          return nil\n        }; return nil; })();\n        if ($truthy((into = opts['$[]'](\"into\")))) {\n          return $$($nesting, 'AttributeList').$new(attrline, block).$parse_into(into, posattrs)\n        } else {\n          return $$($nesting, 'AttributeList').$new(attrline, block).$parse(posattrs)\n        };\n      }, TMP_Substitutors_parse_attributes_54.$$arity = -2);\n      \n      Opal.def(self, '$unescape_bracketed_text', TMP_Substitutors_unescape_bracketed_text_55 = function $$unescape_bracketed_text(text) {\n        var self = this;\n\n        \n        if ($truthy(text['$empty?']())) {\n        } else if ($truthy((text = text.$strip().$tr($$($nesting, 'LF'), \" \"))['$include?']($$($nesting, 'R_SB')))) {\n          text = text.$gsub($$($nesting, 'ESC_R_SB'), $$($nesting, 'R_SB'))};\n        return text;\n      }, TMP_Substitutors_unescape_bracketed_text_55.$$arity = 1);\n      \n      Opal.def(self, '$normalize_string', TMP_Substitutors_normalize_string_56 = function $$normalize_string(str, unescape_brackets) {\n        var $a, self = this;\n\n        if (unescape_brackets == null) {\n          unescape_brackets = false;\n        }\n        \n        if ($truthy(str['$empty?']())) {\n        } else {\n          \n          str = str.$strip().$tr($$($nesting, 'LF'), \" \");\n          if ($truthy(($truthy($a = unescape_brackets) ? str['$include?']($$($nesting, 'R_SB')) : $a))) {\n            str = str.$gsub($$($nesting, 'ESC_R_SB'), $$($nesting, 'R_SB'))};\n        };\n        return str;\n      }, TMP_Substitutors_normalize_string_56.$$arity = -2);\n      \n      Opal.def(self, '$unescape_brackets', TMP_Substitutors_unescape_brackets_57 = function $$unescape_brackets(str) {\n        var self = this;\n\n        \n        if ($truthy(str['$empty?']())) {\n        } else if ($truthy(str['$include?']($$($nesting, 'RS')))) {\n          str = str.$gsub($$($nesting, 'ESC_R_SB'), $$($nesting, 'R_SB'))};\n        return str;\n      }, TMP_Substitutors_unescape_brackets_57.$$arity = 1);\n      \n      Opal.def(self, '$split_simple_csv', TMP_Substitutors_split_simple_csv_60 = function $$split_simple_csv(str) {\n        var TMP_58, TMP_59, self = this, values = nil, current = nil, quote_open = nil;\n\n        \n        if ($truthy(str['$empty?']())) {\n          values = []\n        } else if ($truthy(str['$include?'](\"\\\"\"))) {\n          \n          values = [];\n          current = [];\n          quote_open = false;\n          $send(str, 'each_char', [], (TMP_58 = function(c){var self = TMP_58.$$s || this, $case = nil;\nif (c == null) c = nil;\n          return (function() {$case = c;\n            if (\",\"['$===']($case)) {if ($truthy(quote_open)) {\n              return current['$<<'](c)\n            } else {\n              \n              values['$<<'](current.$join().$strip());\n              return (current = []);\n            }}\n            else if (\"\\\"\"['$===']($case)) {return (quote_open = quote_open['$!']())}\n            else {return current['$<<'](c)}})()}, TMP_58.$$s = self, TMP_58.$$arity = 1, TMP_58));\n          values['$<<'](current.$join().$strip());\n        } else {\n          values = $send(str.$split(\",\"), 'map', [], (TMP_59 = function(it){var self = TMP_59.$$s || this;\nif (it == null) it = nil;\n          return it.$strip()}, TMP_59.$$s = self, TMP_59.$$arity = 1, TMP_59))\n        };\n        return values;\n      }, TMP_Substitutors_split_simple_csv_60.$$arity = 1);\n      \n      Opal.def(self, '$resolve_subs', TMP_Substitutors_resolve_subs_62 = function $$resolve_subs(subs, type, defaults, subject) {\n        var TMP_61, self = this, candidates = nil, modifiers_present = nil, resolved = nil, invalid = nil;\n\n        if (type == null) {\n          type = \"block\";\n        }\n        if (defaults == null) {\n          defaults = nil;\n        }\n        if (subject == null) {\n          subject = nil;\n        }\n        \n        if ($truthy(subs['$nil_or_empty?']())) {\n          return []};\n        candidates = nil;\n        if ($truthy(subs['$include?'](\" \"))) {\n          subs = subs.$delete(\" \")};\n        modifiers_present = $$($nesting, 'SubModifierSniffRx')['$match?'](subs);\n        $send(subs.$split(\",\"), 'each', [], (TMP_61 = function(key){var self = TMP_61.$$s || this, $a, $b, modifier_operation = nil, first = nil, resolved_keys = nil, resolved_key = nil, candidate = nil, $case = nil;\nif (key == null) key = nil;\n        \n          modifier_operation = nil;\n          if ($truthy(modifiers_present)) {\n            if ((first = key.$chr())['$=='](\"+\")) {\n              \n              modifier_operation = \"append\";\n              key = key['$[]']($range(1, -1, false));\n            } else if (first['$=='](\"-\")) {\n              \n              modifier_operation = \"remove\";\n              key = key['$[]']($range(1, -1, false));\n            } else if ($truthy(key['$end_with?'](\"+\"))) {\n              \n              modifier_operation = \"prepend\";\n              key = key.$chop();}};\n          key = key.$to_sym();\n          if ($truthy((($a = type['$=='](\"inline\")) ? ($truthy($b = key['$=='](\"verbatim\")) ? $b : key['$=='](\"v\")) : type['$=='](\"inline\")))) {\n            resolved_keys = $$($nesting, 'BASIC_SUBS')\n          } else if ($truthy($$($nesting, 'SUB_GROUPS')['$key?'](key))) {\n            resolved_keys = $$($nesting, 'SUB_GROUPS')['$[]'](key)\n          } else if ($truthy(($truthy($a = (($b = type['$=='](\"inline\")) ? key.$length()['$=='](1) : type['$=='](\"inline\"))) ? $$($nesting, 'SUB_HINTS')['$key?'](key) : $a))) {\n            \n            resolved_key = $$($nesting, 'SUB_HINTS')['$[]'](key);\n            if ($truthy((candidate = $$($nesting, 'SUB_GROUPS')['$[]'](resolved_key)))) {\n              resolved_keys = candidate\n            } else {\n              resolved_keys = [resolved_key]\n            };\n          } else {\n            resolved_keys = [key]\n          };\n          if ($truthy(modifier_operation)) {\n            \n            candidates = ($truthy($a = candidates) ? $a : (function() {if ($truthy(defaults)) {\n              return defaults.$dup()\n            } else {\n              return []\n            }; return nil; })());\n            return (function() {$case = modifier_operation;\n            if (\"append\"['$===']($case)) {return (candidates = $rb_plus(candidates, resolved_keys))}\n            else if (\"prepend\"['$===']($case)) {return (candidates = $rb_plus(resolved_keys, candidates))}\n            else if (\"remove\"['$===']($case)) {return (candidates = $rb_minus(candidates, resolved_keys))}\n            else { return nil }})();\n          } else {\n            \n            candidates = ($truthy($a = candidates) ? $a : []);\n            return (candidates = $rb_plus(candidates, resolved_keys));\n          };}, TMP_61.$$s = self, TMP_61.$$arity = 1, TMP_61));\n        if ($truthy(candidates)) {\n        } else {\n          return []\n        };\n        resolved = candidates['$&']($$($nesting, 'SUB_OPTIONS')['$[]'](type));\n        if ($truthy($rb_minus(candidates, resolved)['$empty?']())) {\n        } else {\n          \n          invalid = $rb_minus(candidates, resolved);\n          self.$warn(\"\" + \"asciidoctor: WARNING: invalid substitution type\" + ((function() {if ($truthy($rb_gt(invalid.$size(), 1))) {\n            return \"s\"\n          } else {\n            return \"\"\n          }; return nil; })()) + ((function() {if ($truthy(subject)) {\n            return \" for \"\n          } else {\n            return nil\n          }; return nil; })()) + (subject) + \": \" + ($rb_times(invalid, \", \")));\n        };\n        return resolved;\n      }, TMP_Substitutors_resolve_subs_62.$$arity = -2);\n      \n      Opal.def(self, '$resolve_block_subs', TMP_Substitutors_resolve_block_subs_63 = function $$resolve_block_subs(subs, defaults, subject) {\n        var self = this;\n\n        return self.$resolve_subs(subs, \"block\", defaults, subject)\n      }, TMP_Substitutors_resolve_block_subs_63.$$arity = 3);\n      \n      Opal.def(self, '$resolve_pass_subs', TMP_Substitutors_resolve_pass_subs_64 = function $$resolve_pass_subs(subs) {\n        var self = this;\n\n        return self.$resolve_subs(subs, \"inline\", nil, \"passthrough macro\")\n      }, TMP_Substitutors_resolve_pass_subs_64.$$arity = 1);\n      \n      Opal.def(self, '$highlight_source', TMP_Substitutors_highlight_source_69 = function $$highlight_source(source, process_callouts, highlighter) {\n        var $a, $b, $c, TMP_65, $d, TMP_67, self = this, $case = nil, highlighter_loaded = nil, lineno = nil, callout_on_last = nil, callout_marks = nil, last = nil, callout_rx = nil, linenums_mode = nil, highlight_lines = nil, result = nil, lexer = nil, opts = nil, $writer = nil, reached_code = nil;\n        if (self.document == null) self.document = nil;\n        if (self.passthroughs == null) self.passthroughs = nil;\n\n        if (highlighter == null) {\n          highlighter = nil;\n        }\n        \n        $case = (highlighter = ($truthy($a = highlighter) ? $a : self.document.$attributes()['$[]'](\"source-highlighter\")));\n        if (\"coderay\"['$===']($case)) {if ($truthy(($truthy($a = (highlighter_loaded = (($b = $$$('::', 'CodeRay', 'skip_raise')) ? 'constant' : nil))) ? $a : self.document.$attributes()['$[]'](\"coderay-unavailable\")))) {\n        } else if ($truthy($$($nesting, 'Helpers').$require_library(\"coderay\", true, \"warn\")['$nil?']())) {\n          self.document.$set_attr(\"coderay-unavailable\")\n        } else {\n          highlighter_loaded = true\n        }}\n        else if (\"pygments\"['$===']($case)) {if ($truthy(($truthy($a = (highlighter_loaded = (($c = $$$('::', 'Pygments', 'skip_raise')) ? 'constant' : nil))) ? $a : self.document.$attributes()['$[]'](\"pygments-unavailable\")))) {\n        } else if ($truthy($$($nesting, 'Helpers').$require_library(\"pygments\", \"pygments.rb\", \"warn\")['$nil?']())) {\n          self.document.$set_attr(\"pygments-unavailable\")\n        } else {\n          highlighter_loaded = true\n        }}\n        else {highlighter_loaded = false};\n        if ($truthy(highlighter_loaded)) {\n        } else {\n          return self.$sub_source(source, process_callouts)\n        };\n        lineno = 0;\n        callout_on_last = false;\n        if ($truthy(process_callouts)) {\n          \n          callout_marks = $hash2([], {});\n          last = -1;\n          callout_rx = (function() {if ($truthy(self['$attr?'](\"line-comment\"))) {\n            return new RegExp(\"\" + \"(?:\" + ($$$('::', 'Regexp').$escape(self.$attr(\"line-comment\"))) + \" )?\" + ($$($nesting, 'CalloutExtractRxt')))\n          } else {\n            return $$($nesting, 'CalloutExtractRx')\n          }; return nil; })();\n          source = $rb_times($send(source.$split($$($nesting, 'LF'), -1), 'map', [], (TMP_65 = function(line){var self = TMP_65.$$s || this, TMP_66;\nif (line == null) line = nil;\n          \n            lineno = $rb_plus(lineno, 1);\n            return $send(line, 'gsub', [callout_rx], (TMP_66 = function(){var self = TMP_66.$$s || this, $d, m = nil, $writer = nil;\n              if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n            \n              m = $gvars[\"~\"];\n              if (m['$[]'](1)['$==']($$($nesting, 'RS'))) {\n                return m['$[]'](0).$sub($$($nesting, 'RS'), \"\")\n              } else {\n                \n                ($truthy($d = callout_marks['$[]'](lineno)) ? $d : (($writer = [lineno, []]), $send(callout_marks, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))['$<<'](m['$[]'](3));\n                last = lineno;\n                return nil;\n              };}, TMP_66.$$s = self, TMP_66.$$arity = 0, TMP_66));}, TMP_65.$$s = self, TMP_65.$$arity = 1, TMP_65)), $$($nesting, 'LF'));\n          callout_on_last = last['$=='](lineno);\n          if ($truthy(callout_marks['$empty?']())) {\n            callout_marks = nil};\n        } else {\n          callout_marks = nil\n        };\n        linenums_mode = nil;\n        highlight_lines = nil;\n        $case = highlighter;\n        if (\"coderay\"['$===']($case)) {\n        if ($truthy((linenums_mode = (function() {if ($truthy(self['$attr?'](\"linenums\", nil, false))) {\n          return ($truthy($a = self.document.$attributes()['$[]'](\"coderay-linenums-mode\")) ? $a : \"table\").$to_sym()\n        } else {\n          return nil\n        }; return nil; })()))) {\n          if ($truthy(self['$attr?'](\"highlight\", nil, false))) {\n            highlight_lines = self.$resolve_highlight_lines(self.$attr(\"highlight\", nil, false))}};\n        result = $$$($$$('::', 'CodeRay'), 'Duo')['$[]'](self.$attr(\"language\", \"text\", false).$to_sym(), \"html\", $hash2([\"css\", \"line_numbers\", \"line_number_anchors\", \"highlight_lines\", \"bold_every\"], {\"css\": ($truthy($a = self.document.$attributes()['$[]'](\"coderay-css\")) ? $a : \"class\").$to_sym(), \"line_numbers\": linenums_mode, \"line_number_anchors\": false, \"highlight_lines\": highlight_lines, \"bold_every\": false})).$highlight(source);}\n        else if (\"pygments\"['$===']($case)) {\n        lexer = ($truthy($a = $$$($$$('::', 'Pygments'), 'Lexer').$find_by_alias(self.$attr(\"language\", \"text\", false))) ? $a : $$$($$$('::', 'Pygments'), 'Lexer').$find_by_mimetype(\"text/plain\"));\n        opts = $hash2([\"cssclass\", \"classprefix\", \"nobackground\", \"stripnl\"], {\"cssclass\": \"pyhl\", \"classprefix\": \"tok-\", \"nobackground\": true, \"stripnl\": false});\n        if (lexer.$name()['$=='](\"PHP\")) {\n          \n          $writer = [\"startinline\", self['$option?'](\"mixed\")['$!']()];\n          $send(opts, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];};\n        if (($truthy($a = self.document.$attributes()['$[]'](\"pygments-css\")) ? $a : \"class\")['$=='](\"class\")) {\n        } else {\n          \n          \n          $writer = [\"noclasses\", true];\n          $send(opts, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [\"style\", ($truthy($a = self.document.$attributes()['$[]'](\"pygments-style\")) ? $a : $$$($$($nesting, 'Stylesheets'), 'DEFAULT_PYGMENTS_STYLE'))];\n          $send(opts, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n        };\n        if ($truthy(self['$attr?'](\"highlight\", nil, false))) {\n          if ($truthy((highlight_lines = self.$resolve_highlight_lines(self.$attr(\"highlight\", nil, false)))['$empty?']())) {\n          } else {\n            \n            $writer = [\"hl_lines\", $rb_times(highlight_lines, \" \")];\n            $send(opts, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];\n          }};\n        if ($truthy(($truthy($a = self['$attr?'](\"linenums\", nil, false)) ? (($writer = [\"linenos\", ($truthy($d = self.document.$attributes()['$[]'](\"pygments-linenums-mode\")) ? $d : \"table\")]), $send(opts, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])['$=='](\"table\") : $a))) {\n          \n          linenums_mode = \"table\";\n          result = lexer.$highlight(source, $hash2([\"options\"], {\"options\": opts})).$sub($$($nesting, 'PygmentsWrapperDivRx'), \"\\\\1\").$gsub($$($nesting, 'PygmentsWrapperPreRx'), \"\\\\1\");\n        } else if ($truthy($$($nesting, 'PygmentsWrapperPreRx')['$=~']((result = lexer.$highlight(source, $hash2([\"options\"], {\"options\": opts})))))) {\n          result = (($a = $gvars['~']) === nil ? nil : $a['$[]'](1))};};\n        if ($truthy(self.passthroughs['$empty?']())) {\n        } else {\n          result = result.$gsub($$($nesting, 'HighlightedPassSlotRx'), \"\" + ($$($nesting, 'PASS_START')) + \"\\\\1\" + ($$($nesting, 'PASS_END')))\n        };\n        if ($truthy(($truthy($a = process_callouts) ? callout_marks : $a))) {\n          \n          lineno = 0;\n          reached_code = linenums_mode['$!='](\"table\");\n          return $rb_times($send(result.$split($$($nesting, 'LF'), -1), 'map', [], (TMP_67 = function(line){var self = TMP_67.$$s || this, $e, $f, TMP_68, conums = nil, tail = nil, pos = nil, conums_markup = nil;\n            if (self.document == null) self.document = nil;\nif (line == null) line = nil;\n          \n            if ($truthy(reached_code)) {\n            } else {\n              \n              if ($truthy(line['$include?'](\"<td class=\\\"code\\\">\"))) {\n              } else {\n                return line;\n              };\n              reached_code = true;\n            };\n            lineno = $rb_plus(lineno, 1);\n            if ($truthy((conums = callout_marks.$delete(lineno)))) {\n              \n              tail = nil;\n              if ($truthy(($truthy($e = ($truthy($f = callout_on_last) ? callout_marks['$empty?']() : $f)) ? linenums_mode['$=='](\"table\") : $e))) {\n                if ($truthy((($e = highlighter['$=='](\"coderay\")) ? (pos = line.$index(\"</pre>\")) : highlighter['$=='](\"coderay\")))) {\n                  $e = [line.$slice(0, pos), line.$slice(pos, line.$length())], (line = $e[0]), (tail = $e[1]), $e\n                } else if ($truthy((($e = highlighter['$=='](\"pygments\")) ? (pos = line['$start_with?'](\"</td>\")) : highlighter['$=='](\"pygments\")))) {\n                  $e = [\"\", line], (line = $e[0]), (tail = $e[1]), $e}};\n              if (conums.$size()['$=='](1)) {\n                return \"\" + (line) + ($$($nesting, 'Inline').$new(self, \"callout\", conums['$[]'](0), $hash2([\"id\"], {\"id\": self.document.$callouts().$read_next_id()})).$convert()) + (tail)\n              } else {\n                \n                conums_markup = $rb_times($send(conums, 'map', [], (TMP_68 = function(conum){var self = TMP_68.$$s || this;\n                  if (self.document == null) self.document = nil;\nif (conum == null) conum = nil;\n                return $$($nesting, 'Inline').$new(self, \"callout\", conum, $hash2([\"id\"], {\"id\": self.document.$callouts().$read_next_id()})).$convert()}, TMP_68.$$s = self, TMP_68.$$arity = 1, TMP_68)), \" \");\n                return \"\" + (line) + (conums_markup) + (tail);\n              };\n            } else {\n              return line\n            };}, TMP_67.$$s = self, TMP_67.$$arity = 1, TMP_67)), $$($nesting, 'LF'));\n        } else {\n          return result\n        };\n      }, TMP_Substitutors_highlight_source_69.$$arity = -3);\n      \n      Opal.def(self, '$resolve_highlight_lines', TMP_Substitutors_resolve_highlight_lines_71 = function $$resolve_highlight_lines(spec) {\n        var TMP_70, self = this, lines = nil;\n\n        \n        lines = [];\n        $send((function() {if ($truthy(spec['$include?'](\" \"))) {\n          \n          return spec.$delete(\" \");\n        } else {\n          return spec\n        }; return nil; })().$split($$($nesting, 'DataDelimiterRx')), 'map', [], (TMP_70 = function(entry){var self = TMP_70.$$s || this, $a, $b, negate = nil, s = nil, e = nil, line_nums = nil;\nif (entry == null) entry = nil;\n        \n          negate = false;\n          if ($truthy(entry['$start_with?'](\"!\"))) {\n            \n            entry = entry['$[]']($range(1, -1, false));\n            negate = true;};\n          if ($truthy(entry['$include?'](\"-\"))) {\n            \n            $b = entry.$split(\"-\", 2), $a = Opal.to_ary($b), (s = ($a[0] == null ? nil : $a[0])), (e = ($a[1] == null ? nil : $a[1])), $b;\n            line_nums = Opal.Range.$new(s.$to_i(), e.$to_i(), false).$to_a();\n            if ($truthy(negate)) {\n              return (lines = $rb_minus(lines, line_nums))\n            } else {\n              return lines.$concat(line_nums)\n            };\n          } else if ($truthy(negate)) {\n            return lines.$delete(entry.$to_i())\n          } else {\n            return lines['$<<'](entry.$to_i())\n          };}, TMP_70.$$s = self, TMP_70.$$arity = 1, TMP_70));\n        return lines.$sort().$uniq();\n      }, TMP_Substitutors_resolve_highlight_lines_71.$$arity = 1);\n      \n      Opal.def(self, '$sub_source', TMP_Substitutors_sub_source_72 = function $$sub_source(source, process_callouts) {\n        var self = this;\n\n        if ($truthy(process_callouts)) {\n          return self.$sub_callouts(self.$sub_specialchars(source))\n        } else {\n          \n          return self.$sub_specialchars(source);\n        }\n      }, TMP_Substitutors_sub_source_72.$$arity = 2);\n      \n      Opal.def(self, '$lock_in_subs', TMP_Substitutors_lock_in_subs_73 = function $$lock_in_subs() {\n        var $a, $b, $c, $d, $e, self = this, default_subs = nil, $case = nil, custom_subs = nil, idx = nil, $writer = nil;\n        if (self.default_subs == null) self.default_subs = nil;\n        if (self.content_model == null) self.content_model = nil;\n        if (self.context == null) self.context = nil;\n        if (self.subs == null) self.subs = nil;\n        if (self.attributes == null) self.attributes = nil;\n        if (self.style == null) self.style = nil;\n        if (self.document == null) self.document = nil;\n\n        \n        if ($truthy((default_subs = self.default_subs))) {\n        } else {\n          $case = self.content_model;\n          if (\"simple\"['$===']($case)) {default_subs = $$($nesting, 'NORMAL_SUBS')}\n          else if (\"verbatim\"['$===']($case)) {if ($truthy(($truthy($a = self.context['$=='](\"listing\")) ? $a : (($b = self.context['$=='](\"literal\")) ? self['$option?'](\"listparagraph\")['$!']() : self.context['$=='](\"literal\"))))) {\n            default_subs = $$($nesting, 'VERBATIM_SUBS')\n          } else if (self.context['$=='](\"verse\")) {\n            default_subs = $$($nesting, 'NORMAL_SUBS')\n          } else {\n            default_subs = $$($nesting, 'BASIC_SUBS')\n          }}\n          else if (\"raw\"['$===']($case)) {default_subs = (function() {if (self.context['$=='](\"stem\")) {\n            return $$($nesting, 'BASIC_SUBS')\n          } else {\n            return $$($nesting, 'NONE_SUBS')\n          }; return nil; })()}\n          else {return self.subs}\n        };\n        self.subs = (function() {if ($truthy((custom_subs = self.attributes['$[]'](\"subs\")))) {\n          \n          return self.$resolve_block_subs(custom_subs, default_subs, self.context);\n        } else {\n          return default_subs.$dup()\n        }; return nil; })();\n        if ($truthy(($truthy($a = ($truthy($b = ($truthy($c = ($truthy($d = (($e = self.context['$=='](\"listing\")) ? self.style['$=='](\"source\") : self.context['$=='](\"listing\"))) ? self.attributes['$key?'](\"language\") : $d)) ? self.document['$basebackend?'](\"html\") : $c)) ? $$($nesting, 'SUB_HIGHLIGHT')['$include?'](self.document.$attributes()['$[]'](\"source-highlighter\")) : $b)) ? (idx = self.subs.$index(\"specialcharacters\")) : $a))) {\n          \n          $writer = [idx, \"highlight\"];\n          $send(self.subs, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];};\n        return self.subs;\n      }, TMP_Substitutors_lock_in_subs_73.$$arity = 0);\n    })($nesting[0], $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/abstract_node\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $truthy = Opal.truthy, $hash2 = Opal.hash2, $send = Opal.send, $range = Opal.range;\n\n  Opal.add_stubs(['$include', '$attr_reader', '$attr_accessor', '$==', '$document', '$to_s', '$key?', '$dup', '$[]', '$converter', '$raise', '$attributes', '$nil?', '$[]=', '$-', '$delete', '$update', '$nil_or_empty?', '$split', '$include?', '$empty?', '$*', '$apply_reftext_subs', '$attr?', '$extname', '$image_uri', '$attr', '$<', '$safe', '$uriish?', '$uri_encode_spaces', '$normalize_web_path', '$generate_data_uri_from_uri', '$generate_data_uri', '$normalize_system_path', '$readable?', '$warn', '$encode64', '$binread', '$require_library', '$!', '$open', '$content_type', '$read', '$base_dir', '$new', '$root?', '$join', '$system_path', '$web_path', '$===', '$!=', '$normalize_lines_from_string', '$open_uri', '$fetch', '$read_asset', '$gsub']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $AbstractNode(){};\n      var self = $AbstractNode = $klass($base, $super, 'AbstractNode', $AbstractNode);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_AbstractNode_initialize_1, TMP_AbstractNode_parent$eq_2, TMP_AbstractNode_converter_3, TMP_AbstractNode_block$q_4, TMP_AbstractNode_inline$q_5, TMP_AbstractNode_attr_6, TMP_AbstractNode_attr$q_7, TMP_AbstractNode_set_attr_8, TMP_AbstractNode_remove_attr_9, TMP_AbstractNode_option$q_10, TMP_AbstractNode_set_option_11, TMP_AbstractNode_update_attributes_12, TMP_AbstractNode_role_13, TMP_AbstractNode_roles_14, TMP_AbstractNode_role$q_15, TMP_AbstractNode_has_role$q_16, TMP_AbstractNode_add_role_17, TMP_AbstractNode_remove_role_18, TMP_AbstractNode_reftext_19, TMP_AbstractNode_reftext$q_20, TMP_AbstractNode_icon_uri_21, TMP_AbstractNode_image_uri_22, TMP_AbstractNode_media_uri_23, TMP_AbstractNode_generate_data_uri_24, TMP_AbstractNode_generate_data_uri_from_uri_26, TMP_AbstractNode_normalize_asset_path_27, TMP_AbstractNode_normalize_system_path_28, TMP_AbstractNode_normalize_web_path_29, TMP_AbstractNode_read_asset_30, TMP_AbstractNode_read_contents_32, TMP_AbstractNode_uri_encode_spaces_33, TMP_AbstractNode_is_uri$q_34;\n\n      def.document = def.attributes = def.parent = def.path_resolver = nil;\n      \n      self.$include($$($nesting, 'Substitutors'));\n      self.$attr_reader(\"parent\");\n      self.$attr_reader(\"document\");\n      self.$attr_reader(\"context\");\n      self.$attr_reader(\"node_name\");\n      self.$attr_accessor(\"id\");\n      self.$attr_reader(\"attributes\");\n      \n      Opal.def(self, '$initialize', TMP_AbstractNode_initialize_1 = function $$initialize(parent, context, opts) {\n        var $a, self = this;\n\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        \n        if (context['$=='](\"document\")) {\n          $a = [self, nil], (self.document = $a[0]), (self.parent = $a[1]), $a\n        } else if ($truthy(parent)) {\n          $a = [parent.$document(), parent], (self.document = $a[0]), (self.parent = $a[1]), $a\n        } else {\n          self.document = (self.parent = nil)\n        };\n        self.node_name = (self.context = context).$to_s();\n        self.attributes = (function() {if ($truthy(opts['$key?'](\"attributes\"))) {\n          return opts['$[]'](\"attributes\").$dup()\n        } else {\n          return $hash2([], {})\n        }; return nil; })();\n        return (self.passthroughs = $hash2([], {}));\n      }, TMP_AbstractNode_initialize_1.$$arity = -3);\n      \n      Opal.def(self, '$parent=', TMP_AbstractNode_parent$eq_2 = function(parent) {\n        var $a, self = this;\n\n        \n        $a = [parent, parent.$document()], (self.parent = $a[0]), (self.document = $a[1]), $a;\n        return nil;\n      }, TMP_AbstractNode_parent$eq_2.$$arity = 1);\n      \n      Opal.def(self, '$converter', TMP_AbstractNode_converter_3 = function $$converter() {\n        var self = this;\n\n        return self.document.$converter()\n      }, TMP_AbstractNode_converter_3.$$arity = 0);\n      \n      Opal.def(self, '$block?', TMP_AbstractNode_block$q_4 = function() {\n        var self = this;\n\n        return self.$raise($$$('::', 'NotImplementedError'))\n      }, TMP_AbstractNode_block$q_4.$$arity = 0);\n      \n      Opal.def(self, '$inline?', TMP_AbstractNode_inline$q_5 = function() {\n        var self = this;\n\n        return self.$raise($$$('::', 'NotImplementedError'))\n      }, TMP_AbstractNode_inline$q_5.$$arity = 0);\n      \n      Opal.def(self, '$attr', TMP_AbstractNode_attr_6 = function $$attr(name, default_val, inherit) {\n        var $a, $b, self = this;\n\n        if (default_val == null) {\n          default_val = nil;\n        }\n        if (inherit == null) {\n          inherit = true;\n        }\n        \n        name = name.$to_s();\n        return ($truthy($a = self.attributes['$[]'](name)) ? $a : (function() {if ($truthy(($truthy($b = inherit) ? self.parent : $b))) {\n          return ($truthy($b = self.document.$attributes()['$[]'](name)) ? $b : default_val)\n        } else {\n          return default_val\n        }; return nil; })());\n      }, TMP_AbstractNode_attr_6.$$arity = -2);\n      \n      Opal.def(self, '$attr?', TMP_AbstractNode_attr$q_7 = function(name, expect_val, inherit) {\n        var $a, $b, $c, self = this;\n\n        if (expect_val == null) {\n          expect_val = nil;\n        }\n        if (inherit == null) {\n          inherit = true;\n        }\n        \n        name = name.$to_s();\n        if ($truthy(expect_val['$nil?']())) {\n          return ($truthy($a = self.attributes['$key?'](name)) ? $a : ($truthy($b = ($truthy($c = inherit) ? self.parent : $c)) ? self.document.$attributes()['$key?'](name) : $b))\n        } else {\n          return expect_val['$=='](($truthy($a = self.attributes['$[]'](name)) ? $a : (function() {if ($truthy(($truthy($b = inherit) ? self.parent : $b))) {\n            return self.document.$attributes()['$[]'](name)\n          } else {\n            return nil\n          }; return nil; })()))\n        };\n      }, TMP_AbstractNode_attr$q_7.$$arity = -2);\n      \n      Opal.def(self, '$set_attr', TMP_AbstractNode_set_attr_8 = function $$set_attr(name, value, overwrite) {\n        var $a, self = this, $writer = nil;\n\n        if (value == null) {\n          value = \"\";\n        }\n        if (overwrite == null) {\n          overwrite = true;\n        }\n        if ($truthy((($a = overwrite['$=='](false)) ? self.attributes['$key?'](name) : overwrite['$=='](false)))) {\n          return false\n        } else {\n          \n          \n          $writer = [name, value];\n          $send(self.attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          return true;\n        }\n      }, TMP_AbstractNode_set_attr_8.$$arity = -2);\n      \n      Opal.def(self, '$remove_attr', TMP_AbstractNode_remove_attr_9 = function $$remove_attr(name) {\n        var self = this;\n\n        return self.attributes.$delete(name)\n      }, TMP_AbstractNode_remove_attr_9.$$arity = 1);\n      \n      Opal.def(self, '$option?', TMP_AbstractNode_option$q_10 = function(name) {\n        var self = this;\n\n        return self.attributes['$key?'](\"\" + (name) + \"-option\")\n      }, TMP_AbstractNode_option$q_10.$$arity = 1);\n      \n      Opal.def(self, '$set_option', TMP_AbstractNode_set_option_11 = function $$set_option(name) {\n        var self = this, $writer = nil;\n\n        \n        if ($truthy(self.attributes['$key?'](\"options\"))) {\n          \n          $writer = [\"options\", \"\" + (self.attributes['$[]'](\"options\")) + \",\" + (name)];\n          $send(self.attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];\n        } else {\n          \n          $writer = [\"options\", name];\n          $send(self.attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];\n        };\n        \n        $writer = [\"\" + (name) + \"-option\", \"\"];\n        $send(self.attributes, '[]=', Opal.to_a($writer));\n        return $writer[$rb_minus($writer[\"length\"], 1)];;\n      }, TMP_AbstractNode_set_option_11.$$arity = 1);\n      \n      Opal.def(self, '$update_attributes', TMP_AbstractNode_update_attributes_12 = function $$update_attributes(attributes) {\n        var self = this;\n\n        \n        self.attributes.$update(attributes);\n        return nil;\n      }, TMP_AbstractNode_update_attributes_12.$$arity = 1);\n      \n      Opal.def(self, '$role', TMP_AbstractNode_role_13 = function $$role() {\n        var $a, self = this;\n\n        return ($truthy($a = self.attributes['$[]'](\"role\")) ? $a : self.document.$attributes()['$[]'](\"role\"))\n      }, TMP_AbstractNode_role_13.$$arity = 0);\n      \n      Opal.def(self, '$roles', TMP_AbstractNode_roles_14 = function $$roles() {\n        var $a, self = this, val = nil;\n\n        if ($truthy((val = ($truthy($a = self.attributes['$[]'](\"role\")) ? $a : self.document.$attributes()['$[]'](\"role\")))['$nil_or_empty?']())) {\n          return []\n        } else {\n          return val.$split()\n        }\n      }, TMP_AbstractNode_roles_14.$$arity = 0);\n      \n      Opal.def(self, '$role?', TMP_AbstractNode_role$q_15 = function(expect_val) {\n        var $a, self = this;\n\n        if (expect_val == null) {\n          expect_val = nil;\n        }\n        if ($truthy(expect_val)) {\n          return expect_val['$=='](($truthy($a = self.attributes['$[]'](\"role\")) ? $a : self.document.$attributes()['$[]'](\"role\")))\n        } else {\n          return ($truthy($a = self.attributes['$key?'](\"role\")) ? $a : self.document.$attributes()['$key?'](\"role\"))\n        }\n      }, TMP_AbstractNode_role$q_15.$$arity = -1);\n      \n      Opal.def(self, '$has_role?', TMP_AbstractNode_has_role$q_16 = function(name) {\n        var $a, self = this, val = nil;\n\n        if ($truthy((val = ($truthy($a = self.attributes['$[]'](\"role\")) ? $a : self.document.$attributes()['$[]'](\"role\")))['$nil_or_empty?']())) {\n          return false\n        } else {\n          return (((\"\" + \" \") + (val)) + \" \")['$include?'](\"\" + \" \" + (name) + \" \")\n        }\n      }, TMP_AbstractNode_has_role$q_16.$$arity = 1);\n      \n      Opal.def(self, '$add_role', TMP_AbstractNode_add_role_17 = function $$add_role(name) {\n        var self = this, val = nil, $writer = nil;\n\n        if ($truthy((val = self.attributes['$[]'](\"role\"))['$nil_or_empty?']())) {\n          \n          \n          $writer = [\"role\", name];\n          $send(self.attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          return true;\n        } else if ($truthy((((\"\" + \" \") + (val)) + \" \")['$include?'](\"\" + \" \" + (name) + \" \"))) {\n          return false\n        } else {\n          \n          \n          $writer = [\"role\", \"\" + (val) + \" \" + (name)];\n          $send(self.attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          return true;\n        }\n      }, TMP_AbstractNode_add_role_17.$$arity = 1);\n      \n      Opal.def(self, '$remove_role', TMP_AbstractNode_remove_role_18 = function $$remove_role(name) {\n        var self = this, val = nil, $writer = nil;\n\n        if ($truthy((val = self.attributes['$[]'](\"role\"))['$nil_or_empty?']())) {\n          return false\n        } else if ($truthy((val = val.$split()).$delete(name))) {\n          \n          if ($truthy(val['$empty?']())) {\n            self.attributes.$delete(\"role\")\n          } else {\n            \n            $writer = [\"role\", $rb_times(val, \" \")];\n            $send(self.attributes, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];\n          };\n          return true;\n        } else {\n          return false\n        }\n      }, TMP_AbstractNode_remove_role_18.$$arity = 1);\n      \n      Opal.def(self, '$reftext', TMP_AbstractNode_reftext_19 = function $$reftext() {\n        var self = this, val = nil;\n\n        if ($truthy((val = self.attributes['$[]'](\"reftext\")))) {\n          \n          return self.$apply_reftext_subs(val);\n        } else {\n          return nil\n        }\n      }, TMP_AbstractNode_reftext_19.$$arity = 0);\n      \n      Opal.def(self, '$reftext?', TMP_AbstractNode_reftext$q_20 = function() {\n        var self = this;\n\n        return self.attributes['$key?'](\"reftext\")\n      }, TMP_AbstractNode_reftext$q_20.$$arity = 0);\n      \n      Opal.def(self, '$icon_uri', TMP_AbstractNode_icon_uri_21 = function $$icon_uri(name) {\n        var self = this, uri = nil;\n\n        if ($truthy(self['$attr?'](\"icon\"))) {\n          if ($truthy($$$('::', 'File').$extname((uri = self.$image_uri(self.$attr(\"icon\"), \"iconsdir\")))['$empty?']())) {\n            return \"\" + (uri) + \".\" + (self.document.$attr(\"icontype\", \"png\"))\n          } else {\n            return uri\n          }\n        } else {\n          return self.$image_uri(\"\" + (name) + \".\" + (self.document.$attr(\"icontype\", \"png\")), \"iconsdir\")\n        }\n      }, TMP_AbstractNode_icon_uri_21.$$arity = 1);\n      \n      Opal.def(self, '$image_uri', TMP_AbstractNode_image_uri_22 = function $$image_uri(target_image, asset_dir_key) {\n        var $a, $b, $c, $d, self = this, doc = nil, images_base = nil;\n\n        if (asset_dir_key == null) {\n          asset_dir_key = \"imagesdir\";\n        }\n        if ($truthy(($truthy($a = $rb_lt((doc = self.document).$safe(), $$$($$($nesting, 'SafeMode'), 'SECURE'))) ? doc['$attr?'](\"data-uri\") : $a))) {\n          if ($truthy(($truthy($a = ($truthy($b = $$($nesting, 'Helpers')['$uriish?'](target_image)) ? (target_image = self.$uri_encode_spaces(target_image)) : $b)) ? $a : ($truthy($b = ($truthy($c = ($truthy($d = asset_dir_key) ? (images_base = doc.$attr(asset_dir_key)) : $d)) ? $$($nesting, 'Helpers')['$uriish?'](images_base) : $c)) ? (target_image = self.$normalize_web_path(target_image, images_base, false)) : $b)))) {\n            if ($truthy(doc['$attr?'](\"allow-uri-read\"))) {\n              return self.$generate_data_uri_from_uri(target_image, doc['$attr?'](\"cache-uri\"))\n            } else {\n              return target_image\n            }\n          } else {\n            return self.$generate_data_uri(target_image, asset_dir_key)\n          }\n        } else {\n          return self.$normalize_web_path(target_image, (function() {if ($truthy(asset_dir_key)) {\n            \n            return doc.$attr(asset_dir_key);\n          } else {\n            return nil\n          }; return nil; })())\n        }\n      }, TMP_AbstractNode_image_uri_22.$$arity = -2);\n      \n      Opal.def(self, '$media_uri', TMP_AbstractNode_media_uri_23 = function $$media_uri(target, asset_dir_key) {\n        var self = this;\n\n        if (asset_dir_key == null) {\n          asset_dir_key = \"imagesdir\";\n        }\n        return self.$normalize_web_path(target, (function() {if ($truthy(asset_dir_key)) {\n          return self.document.$attr(asset_dir_key)\n        } else {\n          return nil\n        }; return nil; })())\n      }, TMP_AbstractNode_media_uri_23.$$arity = -2);\n      \n      Opal.def(self, '$generate_data_uri', TMP_AbstractNode_generate_data_uri_24 = function $$generate_data_uri(target_image, asset_dir_key) {\n        var self = this, ext = nil, mimetype = nil, image_path = nil;\n\n        if (asset_dir_key == null) {\n          asset_dir_key = nil;\n        }\n        \n        ext = $$$('::', 'File').$extname(target_image);\n        mimetype = (function() {if (ext['$=='](\".svg\")) {\n          return \"image/svg+xml\"\n        } else {\n          return \"\" + \"image/\" + (ext['$[]']($range(1, -1, false)))\n        }; return nil; })();\n        if ($truthy(asset_dir_key)) {\n          image_path = self.$normalize_system_path(target_image, self.document.$attr(asset_dir_key), nil, $hash2([\"target_name\"], {\"target_name\": \"image\"}))\n        } else {\n          image_path = self.$normalize_system_path(target_image)\n        };\n        if ($truthy($$$('::', 'File')['$readable?'](image_path))) {\n        } else {\n          \n          self.$warn(\"\" + \"asciidoctor: WARNING: image to embed not found or not readable: \" + (image_path));\n          return \"\" + \"data:\" + (mimetype) + \";base64,\";\n        };\n        return \"\" + \"data:\" + (mimetype) + \";base64,\" + ($$$('::', 'Base64').$encode64($$$('::', 'IO').$binread(image_path)).$delete($$($nesting, 'LF')));\n      }, TMP_AbstractNode_generate_data_uri_24.$$arity = -2);\n      \n      Opal.def(self, '$generate_data_uri_from_uri', TMP_AbstractNode_generate_data_uri_from_uri_26 = function $$generate_data_uri_from_uri(image_uri, cache_uri) {\n        var TMP_25, self = this, mimetype = nil, bindata = nil;\n\n        if (cache_uri == null) {\n          cache_uri = false;\n        }\n        \n        if ($truthy(cache_uri)) {\n          $$($nesting, 'Helpers').$require_library(\"open-uri/cached\", \"open-uri-cached\")\n        } else if ($truthy($$$('::', 'RUBY_ENGINE_OPAL')['$!']())) {\n          $$$('::', 'OpenURI')};\n        \n        try {\n          \n          mimetype = nil;\n          bindata = $send(self, 'open', [image_uri, \"rb\"], (TMP_25 = function(fd){var self = TMP_25.$$s || this;\nif (fd == null) fd = nil;\n          \n            mimetype = fd.$content_type();\n            return fd.$read();}, TMP_25.$$s = self, TMP_25.$$arity = 1, TMP_25));\n          return \"\" + \"data:\" + (mimetype) + \";base64,\" + ($$$('::', 'Base64').$encode64(bindata).$delete($$($nesting, 'LF')));\n        } catch ($err) {\n          if (Opal.rescue($err, [$$($nesting, 'StandardError')])) {\n            try {\n              \n              self.$warn(\"\" + \"asciidoctor: WARNING: could not retrieve image data from URI: \" + (image_uri));\n              return image_uri;\n            } finally { Opal.pop_exception() }\n          } else { throw $err; }\n        };;\n      }, TMP_AbstractNode_generate_data_uri_from_uri_26.$$arity = -2);\n      \n      Opal.def(self, '$normalize_asset_path', TMP_AbstractNode_normalize_asset_path_27 = function $$normalize_asset_path(asset_ref, asset_name, autocorrect) {\n        var self = this;\n\n        if (asset_name == null) {\n          asset_name = \"path\";\n        }\n        if (autocorrect == null) {\n          autocorrect = true;\n        }\n        return self.$normalize_system_path(asset_ref, self.document.$base_dir(), nil, $hash2([\"target_name\", \"recover\"], {\"target_name\": asset_name, \"recover\": autocorrect}))\n      }, TMP_AbstractNode_normalize_asset_path_27.$$arity = -2);\n      \n      Opal.def(self, '$normalize_system_path', TMP_AbstractNode_normalize_system_path_28 = function $$normalize_system_path(target, start, jail, opts) {\n        var $a, self = this, path_resolver = nil, doc = nil;\n\n        if (start == null) {\n          start = nil;\n        }\n        if (jail == null) {\n          jail = nil;\n        }\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        \n        path_resolver = (self.path_resolver = ($truthy($a = self.path_resolver) ? $a : $$($nesting, 'PathResolver').$new()));\n        if ($truthy($rb_lt((doc = self.document).$safe(), $$$($$($nesting, 'SafeMode'), 'SAFE')))) {\n          if ($truthy(start)) {\n            if ($truthy(path_resolver['$root?'](start))) {\n            } else {\n              start = $$$('::', 'File').$join(doc.$base_dir(), start)\n            }\n          } else {\n            start = doc.$base_dir()\n          }\n        } else {\n          \n          if ($truthy(start)) {\n          } else {\n            start = doc.$base_dir()\n          };\n          if ($truthy(jail)) {\n          } else {\n            jail = doc.$base_dir()\n          };\n        };\n        return path_resolver.$system_path(target, start, jail, opts);\n      }, TMP_AbstractNode_normalize_system_path_28.$$arity = -2);\n      \n      Opal.def(self, '$normalize_web_path', TMP_AbstractNode_normalize_web_path_29 = function $$normalize_web_path(target, start, preserve_uri_target) {\n        var $a, self = this;\n\n        if (start == null) {\n          start = nil;\n        }\n        if (preserve_uri_target == null) {\n          preserve_uri_target = true;\n        }\n        if ($truthy(($truthy($a = preserve_uri_target) ? $$($nesting, 'Helpers')['$uriish?'](target) : $a))) {\n          return self.$uri_encode_spaces(target)\n        } else {\n          return (self.path_resolver = ($truthy($a = self.path_resolver) ? $a : $$($nesting, 'PathResolver').$new())).$web_path(target, start)\n        }\n      }, TMP_AbstractNode_normalize_web_path_29.$$arity = -2);\n      \n      Opal.def(self, '$read_asset', TMP_AbstractNode_read_asset_30 = function $$read_asset(path, opts) {\n        var $a, self = this;\n\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        \n        if ($truthy($$$('::', 'Hash')['$==='](opts))) {\n        } else {\n          opts = $hash2([\"warn_on_failure\"], {\"warn_on_failure\": opts['$!='](false)})\n        };\n        if ($truthy($$$('::', 'File')['$readable?'](path))) {\n          if ($truthy(opts['$[]'](\"normalize\"))) {\n            return $rb_times($$($nesting, 'Helpers').$normalize_lines_from_string($$$('::', 'IO').$read(path)), $$($nesting, 'LF'))\n          } else {\n            return $$$('::', 'IO').$read(path)\n          }\n        } else if ($truthy(opts['$[]'](\"warn_on_failure\"))) {\n          return self.$warn(\"\" + \"asciidoctor: WARNING: \" + (($truthy($a = self.$attr(\"docfile\")) ? $a : \"<stdin>\")) + \": \" + (($truthy($a = opts['$[]'](\"label\")) ? $a : \"file\")) + \" does not exist or cannot be read: \" + (path))\n        } else {\n          return nil\n        };\n      }, TMP_AbstractNode_read_asset_30.$$arity = -2);\n      \n      Opal.def(self, '$read_contents', TMP_AbstractNode_read_contents_32 = function $$read_contents(target, opts) {\n        var $a, $b, $c, TMP_31, self = this, doc = nil, start = nil, data = nil;\n\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        \n        doc = self.document;\n        if ($truthy(($truthy($a = $$($nesting, 'Helpers')['$uriish?'](target)) ? $a : ($truthy($b = ($truthy($c = (start = opts['$[]'](\"start\"))) ? $$($nesting, 'Helpers')['$uriish?'](start) : $c)) ? (target = (self.path_resolver = ($truthy($c = self.path_resolver) ? $c : $$($nesting, 'PathResolver').$new())).$web_path(target, start)) : $b)))) {\n          if ($truthy(doc['$attr?'](\"allow-uri-read\"))) {\n            \n            if ($truthy(doc['$attr?'](\"cache-uri\"))) {\n              $$($nesting, 'Helpers').$require_library(\"open-uri/cached\", \"open-uri-cached\")};\n            \n            try {\n              \n              data = $send($$$('::', 'OpenURI'), 'open_uri', [target], (TMP_31 = function(fd){var self = TMP_31.$$s || this;\nif (fd == null) fd = nil;\n              return fd.$read()}, TMP_31.$$s = self, TMP_31.$$arity = 1, TMP_31));\n              if ($truthy(opts['$[]'](\"normalize\"))) {\n                data = $rb_times($$($nesting, 'Helpers').$normalize_lines_from_string(data), $$($nesting, 'LF'))};\n            } catch ($err) {\n              if (Opal.rescue($err, [$$($nesting, 'StandardError')])) {\n                try {\n                  \n                  if ($truthy(opts.$fetch(\"warn_on_failure\", true))) {\n                    self.$warn(\"\" + \"asciidoctor: WARNING: could not retrieve contents of \" + (($truthy($a = opts['$[]'](\"label\")) ? $a : \"asset\")) + \" at URI: \" + (target))};\n                  data = nil;\n                } finally { Opal.pop_exception() }\n              } else { throw $err; }\n            };;\n          } else {\n            \n            if ($truthy(opts.$fetch(\"warn_on_failure\", true))) {\n              self.$warn(\"\" + \"asciidoctor: WARNING: cannot retrieve contents of \" + (($truthy($a = opts['$[]'](\"label\")) ? $a : \"asset\")) + \" at URI: \" + (target) + \" (allow-uri-read attribute not enabled)\")};\n            data = nil;\n          }\n        } else {\n          \n          target = self.$normalize_system_path(target, opts['$[]'](\"start\"), nil, $hash2([\"target_name\"], {\"target_name\": ($truthy($a = opts['$[]'](\"label\")) ? $a : \"asset\")}));\n          data = self.$read_asset(target, $hash2([\"normalize\", \"warn_on_failure\", \"label\"], {\"normalize\": opts['$[]'](\"normalize\"), \"warn_on_failure\": opts.$fetch(\"warn_on_failure\", true), \"label\": opts['$[]'](\"label\")}));\n        };\n        return data;\n      }, TMP_AbstractNode_read_contents_32.$$arity = -2);\n      \n      Opal.def(self, '$uri_encode_spaces', TMP_AbstractNode_uri_encode_spaces_33 = function $$uri_encode_spaces(str) {\n        var self = this;\n\n        if ($truthy(str['$include?'](\" \"))) {\n          \n          return str.$gsub(\" \", \"%20\");\n        } else {\n          return str\n        }\n      }, TMP_AbstractNode_uri_encode_spaces_33.$$arity = 1);\n      return (Opal.def(self, '$is_uri?', TMP_AbstractNode_is_uri$q_34 = function(str) {\n        var self = this;\n\n        return $$($nesting, 'Helpers')['$uriish?'](str)\n      }, TMP_AbstractNode_is_uri$q_34.$$arity = 1), nil) && 'is_uri?';\n    })($nesting[0], null, $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/abstract_block\"] = function(Opal) {\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $send = Opal.send, $truthy = Opal.truthy, $hash2 = Opal.hash2;\n\n  Opal.add_stubs(['$attr_accessor', '$attr_reader', '$attr_writer', '$==', '$!=', '$level', '$to_s', '$playback_attributes', '$convert', '$converter', '$*', '$map', '$file', '$lineno', '$include?', '$apply_title_subs', '$[]', '$title', '$sub_specialchars', '$match?', '$sub_replacements', '$reftext', '$!', '$empty?', '$===', '$sprintf', '$sub_quotes', '$compat_mode', '$attributes', '$chomp', '$<<', '$select', '$context', '$>', '$has_role?', '$header?', '$concat', '$find_by', '$to_proc', '$each', '$flatten', '$blocks', '$parent', '$+', '$find_index', '$next_adjacent_block', '$delete', '$increment_and_store_counter', '$index=', '$-', '$numbered', '$sectname', '$counter', '$number=', '$number', '$caption=', '$enumerate_section', '$reindex_sections']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $AbstractBlock(){};\n      var self = $AbstractBlock = $klass($base, $super, 'AbstractBlock', $AbstractBlock);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_AbstractBlock_initialize_1, TMP_AbstractBlock_block$q_2, TMP_AbstractBlock_inline$q_3, TMP_AbstractBlock_context$eq_4, TMP_AbstractBlock_convert_5, TMP_AbstractBlock_content_7, TMP_AbstractBlock_file_8, TMP_AbstractBlock_lineno_9, TMP_AbstractBlock_sub$q_10, TMP_AbstractBlock_title$q_11, TMP_AbstractBlock_title_12, TMP_AbstractBlock_title$eq_13, TMP_AbstractBlock_caption_14, TMP_AbstractBlock_captioned_title_15, TMP_AbstractBlock_alt_16, TMP_AbstractBlock_xreftext_17, TMP_AbstractBlock_blocks$q_18, TMP_AbstractBlock_$lt$lt_19, TMP_AbstractBlock_sections_21, TMP_AbstractBlock_sections$q_22, TMP_AbstractBlock_find_by_23, TMP_AbstractBlock_next_adjacent_block_26, TMP_AbstractBlock_remove_sub_27, TMP_AbstractBlock_assign_caption_28, TMP_AbstractBlock_enumerate_section_29, TMP_AbstractBlock_list_marker_keyword_30, TMP_AbstractBlock_reindex_sections_32;\n\n      def.document = def.attributes = def.blocks = def.source_location = def.subs = def.title = def.title_converted = def.converted_title = def.context = def.caption = def.number = def.next_section_index = def.style = def.id = def.header = def.next_section_number = nil;\n      \n      self.$attr_accessor(\"content_model\");\n      self.$attr_reader(\"subs\");\n      self.$attr_reader(\"blocks\");\n      self.$attr_accessor(\"level\");\n      self.$attr_accessor(\"style\");\n      self.$attr_writer(\"caption\");\n      self.$attr_accessor(\"number\");\n      self.$attr_accessor(\"source_location\");\n      \n      Opal.def(self, '$initialize', TMP_AbstractBlock_initialize_1 = function $$initialize(parent, context, opts) {\n        var $a, self = this, $iter = TMP_AbstractBlock_initialize_1.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        if ($iter) TMP_AbstractBlock_initialize_1.$$p = null;\n        // Prepare super implicit arguments\n        for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n          $zuper[$zuper_i] = arguments[$zuper_i];\n        }\n        \n        $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_AbstractBlock_initialize_1, false), $zuper, $iter);\n        self.content_model = \"compound\";\n        self.blocks = [];\n        self.subs = [];\n        self.id = (self.title = (self.title_converted = (self.caption = (self.number = (self.style = (self.default_subs = (self.source_location = nil)))))));\n        if (context['$=='](\"document\")) {\n          self.level = 0\n        } else if ($truthy(($truthy($a = parent) ? context['$!='](\"section\") : $a))) {\n          self.level = parent.$level()\n        } else {\n          self.level = nil\n        };\n        self.next_section_index = 0;\n        return (self.next_section_number = 1);\n      }, TMP_AbstractBlock_initialize_1.$$arity = -3);\n      \n      Opal.def(self, '$block?', TMP_AbstractBlock_block$q_2 = function() {\n        var self = this;\n\n        return true\n      }, TMP_AbstractBlock_block$q_2.$$arity = 0);\n      \n      Opal.def(self, '$inline?', TMP_AbstractBlock_inline$q_3 = function() {\n        var self = this;\n\n        return false\n      }, TMP_AbstractBlock_inline$q_3.$$arity = 0);\n      \n      Opal.def(self, '$context=', TMP_AbstractBlock_context$eq_4 = function(context) {\n        var self = this;\n\n        \n        self.context = context;\n        return (self.node_name = context.$to_s());\n      }, TMP_AbstractBlock_context$eq_4.$$arity = 1);\n      \n      Opal.def(self, '$convert', TMP_AbstractBlock_convert_5 = function $$convert() {\n        var self = this;\n\n        \n        self.document.$playback_attributes(self.attributes);\n        return self.$converter().$convert(self);\n      }, TMP_AbstractBlock_convert_5.$$arity = 0);\n      Opal.alias(self, \"render\", \"convert\");\n      \n      Opal.def(self, '$content', TMP_AbstractBlock_content_7 = function $$content() {\n        var TMP_6, self = this;\n\n        return $rb_times($send(self.blocks, 'map', [], (TMP_6 = function(b){var self = TMP_6.$$s || this;\nif (b == null) b = nil;\n        return b.$convert()}, TMP_6.$$s = self, TMP_6.$$arity = 1, TMP_6)), $$($nesting, 'LF'))\n      }, TMP_AbstractBlock_content_7.$$arity = 0);\n      \n      Opal.def(self, '$file', TMP_AbstractBlock_file_8 = function $$file() {\n        var self = this;\n\n        if ($truthy(self.source_location)) {\n          return self.source_location.$file()\n        } else {\n          return nil\n        }\n      }, TMP_AbstractBlock_file_8.$$arity = 0);\n      \n      Opal.def(self, '$lineno', TMP_AbstractBlock_lineno_9 = function $$lineno() {\n        var self = this;\n\n        if ($truthy(self.source_location)) {\n          return self.source_location.$lineno()\n        } else {\n          return nil\n        }\n      }, TMP_AbstractBlock_lineno_9.$$arity = 0);\n      \n      Opal.def(self, '$sub?', TMP_AbstractBlock_sub$q_10 = function(name) {\n        var self = this;\n\n        return self.subs['$include?'](name)\n      }, TMP_AbstractBlock_sub$q_10.$$arity = 1);\n      \n      Opal.def(self, '$title?', TMP_AbstractBlock_title$q_11 = function() {\n        var self = this;\n\n        if ($truthy(self.title)) {\n          return true\n        } else {\n          return false\n        }\n      }, TMP_AbstractBlock_title$q_11.$$arity = 0);\n      \n      Opal.def(self, '$title', TMP_AbstractBlock_title_12 = function $$title() {\n        var $a, $b, self = this;\n\n        if ($truthy(self.title_converted)) {\n          return self.converted_title\n        } else {\n          \n          return (self.converted_title = ($truthy($a = ($truthy($b = (self.title_converted = true)) ? self.title : $b)) ? self.$apply_title_subs(self.title) : $a));\n        }\n      }, TMP_AbstractBlock_title_12.$$arity = 0);\n      \n      Opal.def(self, '$title=', TMP_AbstractBlock_title$eq_13 = function(val) {\n        var $a, self = this;\n\n        return $a = [val, nil], (self.title = $a[0]), (self.title_converted = $a[1]), $a\n      }, TMP_AbstractBlock_title$eq_13.$$arity = 1);\n      \n      Opal.def(self, '$caption', TMP_AbstractBlock_caption_14 = function $$caption() {\n        var self = this;\n\n        if (self.context['$=='](\"admonition\")) {\n          return self.attributes['$[]'](\"textlabel\")\n        } else {\n          return self.caption\n        }\n      }, TMP_AbstractBlock_caption_14.$$arity = 0);\n      \n      Opal.def(self, '$captioned_title', TMP_AbstractBlock_captioned_title_15 = function $$captioned_title() {\n        var self = this;\n\n        return \"\" + (self.caption) + (self.$title())\n      }, TMP_AbstractBlock_captioned_title_15.$$arity = 0);\n      \n      Opal.def(self, '$alt', TMP_AbstractBlock_alt_16 = function $$alt() {\n        var self = this, text = nil;\n\n        if ($truthy((text = self.attributes['$[]'](\"alt\")))) {\n          if (text['$=='](self.attributes['$[]'](\"default-alt\"))) {\n            return self.$sub_specialchars(text)\n          } else {\n            \n            text = self.$sub_specialchars(text);\n            if ($truthy($$($nesting, 'ReplaceableTextRx')['$match?'](text))) {\n              \n              return self.$sub_replacements(text);\n            } else {\n              return text\n            };\n          }\n        } else {\n          return nil\n        }\n      }, TMP_AbstractBlock_alt_16.$$arity = 0);\n      \n      Opal.def(self, '$xreftext', TMP_AbstractBlock_xreftext_17 = function $$xreftext(xrefstyle) {\n        var $a, $b, self = this, val = nil, $case = nil, quoted_title = nil, prefix = nil;\n\n        if (xrefstyle == null) {\n          xrefstyle = nil;\n        }\n        if ($truthy(($truthy($a = (val = self.$reftext())) ? val['$empty?']()['$!']() : $a))) {\n          return val\n        } else if ($truthy(($truthy($a = ($truthy($b = xrefstyle) ? self.title : $b)) ? self.caption : $a))) {\n          return (function() {$case = xrefstyle;\n          if (\"full\"['$===']($case)) {\n          quoted_title = self.$sprintf(self.$sub_quotes((function() {if ($truthy(self.document.$compat_mode())) {\n            return \"``%s''\"\n          } else {\n            return \"\\\"`%s`\\\"\"\n          }; return nil; })()), self.$title());\n          if ($truthy(($truthy($a = self.number) ? (prefix = self.document.$attributes()['$[]']((function() {if (self.context['$=='](\"image\")) {\n            return \"figure-caption\"\n          } else {\n            return \"\" + (self.context) + \"-caption\"\n          }; return nil; })())) : $a))) {\n            return \"\" + (prefix) + \" \" + (self.number) + \", \" + (quoted_title)\n          } else {\n            return \"\" + (self.caption.$chomp(\". \")) + \", \" + (quoted_title)\n          };}\n          else if (\"short\"['$===']($case)) {if ($truthy(($truthy($a = self.number) ? (prefix = self.document.$attributes()['$[]']((function() {if (self.context['$=='](\"image\")) {\n            return \"figure-caption\"\n          } else {\n            return \"\" + (self.context) + \"-caption\"\n          }; return nil; })())) : $a))) {\n            return \"\" + (prefix) + \" \" + (self.number)\n          } else {\n            return self.caption.$chomp(\". \")\n          }}\n          else {return self.$title()}})()\n        } else {\n          return self.$title()\n        }\n      }, TMP_AbstractBlock_xreftext_17.$$arity = -1);\n      \n      Opal.def(self, '$blocks?', TMP_AbstractBlock_blocks$q_18 = function() {\n        var self = this;\n\n        return self.blocks['$empty?']()['$!']()\n      }, TMP_AbstractBlock_blocks$q_18.$$arity = 0);\n      \n      Opal.def(self, '$<<', TMP_AbstractBlock_$lt$lt_19 = function(block) {\n        var self = this;\n\n        \n        self.blocks['$<<'](block);\n        return self;\n      }, TMP_AbstractBlock_$lt$lt_19.$$arity = 1);\n      Opal.alias(self, \"append\", \"<<\");\n      \n      Opal.def(self, '$sections', TMP_AbstractBlock_sections_21 = function $$sections() {\n        var TMP_20, self = this;\n\n        return $send(self.blocks, 'select', [], (TMP_20 = function(block){var self = TMP_20.$$s || this;\nif (block == null) block = nil;\n        return block.$context()['$=='](\"section\")}, TMP_20.$$s = self, TMP_20.$$arity = 1, TMP_20))\n      }, TMP_AbstractBlock_sections_21.$$arity = 0);\n      \n      Opal.def(self, '$sections?', TMP_AbstractBlock_sections$q_22 = function() {\n        var self = this;\n\n        return $rb_gt(self.next_section_index, 0)\n      }, TMP_AbstractBlock_sections$q_22.$$arity = 0);\n      \n      Opal.def(self, '$find_by', TMP_AbstractBlock_find_by_23 = function $$find_by(selector) {\n        var $a, $b, $c, $d, TMP_24, TMP_25, self = this, $iter = TMP_AbstractBlock_find_by_23.$$p, block = $iter || nil, result = nil, any_context = nil, context_selector = nil, style_selector = nil, role_selector = nil, id_selector = nil;\n\n        if (selector == null) {\n          selector = $hash2([], {});\n        }\n        if ($iter) TMP_AbstractBlock_find_by_23.$$p = null;\n        \n        result = [];\n        if ($truthy(($truthy($a = ($truthy($b = ($truthy($c = ($truthy($d = (any_context = (context_selector = selector['$[]'](\"context\"))['$!']())) ? $d : context_selector['$=='](self.context))) ? ($truthy($d = (style_selector = selector['$[]'](\"style\"))['$!']()) ? $d : style_selector['$=='](self.style)) : $c)) ? ($truthy($c = (role_selector = selector['$[]'](\"role\"))['$!']()) ? $c : self['$has_role?'](role_selector)) : $b)) ? ($truthy($b = (id_selector = selector['$[]'](\"id\"))['$!']()) ? $b : id_selector['$=='](self.id)) : $a))) {\n          if ($truthy(id_selector)) {\n            if ((block !== nil)) {\n              return (function() {if ($truthy(Opal.yield1(block, self))) {\n                return [self]\n              } else {\n                return result\n              }; return nil; })()\n            } else {\n              return [self]\n            }\n          } else if ((block !== nil)) {\n            if ($truthy(Opal.yield1(block, self))) {\n              result['$<<'](self)}\n          } else {\n            result['$<<'](self)\n          }};\n        if ($truthy(($truthy($a = (($b = self.context['$=='](\"document\")) ? ($truthy($c = any_context) ? $c : context_selector['$=='](\"section\")) : self.context['$=='](\"document\"))) ? self['$header?']() : $a))) {\n          result.$concat($send(self.header, 'find_by', [selector], block.$to_proc()))};\n        if (context_selector['$=='](\"document\")) {\n        } else if (self.context['$=='](\"dlist\")) {\n          if ($truthy(($truthy($a = any_context) ? $a : context_selector['$!='](\"section\")))) {\n            $send(self.blocks.$flatten(), 'each', [], (TMP_24 = function(li){var self = TMP_24.$$s || this;\nif (li == null) li = nil;\n            if ($truthy(li)) {\n                return result.$concat($send(li, 'find_by', [selector], block.$to_proc()))\n              } else {\n                return nil\n              }}, TMP_24.$$s = self, TMP_24.$$arity = 1, TMP_24))}\n        } else if ($truthy($send(self.blocks, 'each', [], (TMP_25 = function(b){var self = TMP_25.$$s || this, $e;\nif (b == null) b = nil;\n        \n          if ($truthy((($e = context_selector['$=='](\"section\")) ? b.$context()['$!='](\"section\") : context_selector['$=='](\"section\")))) {\n            return nil;};\n          return result.$concat($send(b, 'find_by', [selector], block.$to_proc()));}, TMP_25.$$s = self, TMP_25.$$arity = 1, TMP_25)))) {};\n        return result;\n      }, TMP_AbstractBlock_find_by_23.$$arity = -1);\n      Opal.alias(self, \"query\", \"find_by\");\n      \n      Opal.def(self, '$next_adjacent_block', TMP_AbstractBlock_next_adjacent_block_26 = function $$next_adjacent_block() {\n        var self = this, sib = nil, p = nil;\n\n        if (self.context['$=='](\"document\")) {\n          return nil\n        } else if ($truthy((sib = (p = self.$parent()).$blocks()['$[]']($rb_plus(p.$blocks().$find_index(self), 1))))) {\n          return sib\n        } else {\n          return p.$next_adjacent_block()\n        }\n      }, TMP_AbstractBlock_next_adjacent_block_26.$$arity = 0);\n      \n      Opal.def(self, '$remove_sub', TMP_AbstractBlock_remove_sub_27 = function $$remove_sub(sub) {\n        var self = this;\n\n        \n        self.subs.$delete(sub);\n        return nil;\n      }, TMP_AbstractBlock_remove_sub_27.$$arity = 1);\n      \n      Opal.def(self, '$assign_caption', TMP_AbstractBlock_assign_caption_28 = function $$assign_caption(value, key) {\n        var $a, $b, self = this, prefix = nil;\n\n        if (value == null) {\n          value = nil;\n        }\n        if (key == null) {\n          key = nil;\n        }\n        if ($truthy(($truthy($a = ($truthy($b = self.caption) ? $b : self.title['$!']())) ? $a : (self.caption = ($truthy($b = value) ? $b : self.document.$attributes()['$[]'](\"caption\")))))) {\n          return nil\n        } else if ($truthy((prefix = self.document.$attributes()['$[]'](\"\" + ((key = ($truthy($a = key) ? $a : self.context))) + \"-caption\")))) {\n          \n          self.caption = \"\" + (prefix) + \" \" + ((self.number = self.document.$increment_and_store_counter(\"\" + (key) + \"-number\", self))) + \". \";\n          return nil;\n        } else {\n          return nil\n        }\n      }, TMP_AbstractBlock_assign_caption_28.$$arity = -1);\n      \n      Opal.def(self, '$enumerate_section', TMP_AbstractBlock_enumerate_section_29 = function $$enumerate_section(section) {\n        var self = this, $writer = nil, sectname = nil, caption = nil;\n\n        \n        self.next_section_index = $rb_plus((($writer = [self.next_section_index]), $send(section, 'index=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]), 1);\n        if ($truthy(section.$numbered())) {\n          if ((sectname = section.$sectname())['$=='](\"appendix\")) {\n            \n            \n            $writer = [self.document.$counter(\"appendix-number\", \"A\")];\n            $send(section, 'number=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            if ($truthy((caption = self.document.$attributes()['$[]'](\"appendix-caption\")))) {\n              \n              $writer = [\"\" + (caption) + \" \" + (section.$number()) + \": \"];\n              $send(section, 'caption=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];\n            } else {\n              \n              $writer = [\"\" + (section.$number()) + \". \"];\n              $send(section, 'caption=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];\n            };\n          } else if (sectname['$=='](\"chapter\")) {\n            \n            $writer = [self.document.$counter(\"chapter-number\", 1)];\n            $send(section, 'number=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];\n          } else {\n            self.next_section_number = $rb_plus((($writer = [self.next_section_number]), $send(section, 'number=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]), 1)\n          }};\n        return nil;\n      }, TMP_AbstractBlock_enumerate_section_29.$$arity = 1);\n      \n      Opal.def(self, '$list_marker_keyword', TMP_AbstractBlock_list_marker_keyword_30 = function $$list_marker_keyword(list_type) {\n        var $a, self = this;\n\n        if (list_type == null) {\n          list_type = nil;\n        }\n        return $$($nesting, 'ORDERED_LIST_KEYWORDS')['$[]'](($truthy($a = list_type) ? $a : self.style))\n      }, TMP_AbstractBlock_list_marker_keyword_30.$$arity = -1);\n      return (Opal.def(self, '$reindex_sections', TMP_AbstractBlock_reindex_sections_32 = function $$reindex_sections() {\n        var TMP_31, self = this;\n\n        \n        self.next_section_index = 0;\n        self.next_section_number = 1;\n        return $send(self.blocks, 'each', [], (TMP_31 = function(block){var self = TMP_31.$$s || this;\nif (block == null) block = nil;\n        if (block.$context()['$=='](\"section\")) {\n            \n            self.$enumerate_section(block);\n            return block.$reindex_sections();\n          } else {\n            return nil\n          }}, TMP_31.$$s = self, TMP_31.$$arity = 1, TMP_31));\n      }, TMP_AbstractBlock_reindex_sections_32.$$arity = 0), nil) && 'reindex_sections';\n    })($nesting[0], $$($nesting, 'AbstractNode'), $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/attribute_list\"] = function(Opal) {\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $hash2 = Opal.hash2, $truthy = Opal.truthy, $send = Opal.send;\n\n  Opal.add_stubs(['$new', '$[]', '$update', '$parse', '$parse_attribute', '$eos?', '$skip_delimiter', '$+', '$rekey', '$each_with_index', '$[]=', '$-', '$skip_blank', '$==', '$peek', '$parse_attribute_value', '$get_byte', '$scan_name', '$!', '$!=', '$*', '$scan_to_delimiter', '$===', '$include?', '$delete', '$each', '$split', '$empty?', '$strip', '$apply_subs', '$scan_to_quote', '$gsub', '$skip', '$scan']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $AttributeList(){};\n      var self = $AttributeList = $klass($base, $super, 'AttributeList', $AttributeList);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_AttributeList_initialize_1, TMP_AttributeList_parse_into_2, TMP_AttributeList_parse_3, TMP_AttributeList_rekey_4, TMP_AttributeList_rekey_6, TMP_AttributeList_parse_attribute_8, TMP_AttributeList_parse_attribute_value_9, TMP_AttributeList_skip_blank_10, TMP_AttributeList_skip_delimiter_11, TMP_AttributeList_scan_name_12, TMP_AttributeList_scan_to_delimiter_13, TMP_AttributeList_scan_to_quote_14;\n\n      def.attributes = def.scanner = def.delimiter = def.block = def.delimiter_skip_pattern = def.delimiter_boundary_pattern = nil;\n      \n      Opal.const_set($nesting[0], 'BACKSLASH', \"\\\\\");\n      Opal.const_set($nesting[0], 'BoundaryRxs', $hash2([\"\\\"\", \"'\", \",\"], {\"\\\"\": /.*?[^\\\\](?=\")/, \"'\": /.*?[^\\\\](?=')/, \",\": /.*?(?=[ \\t]*(,|$))/}));\n      Opal.const_set($nesting[0], 'EscapedQuotes', $hash2([\"\\\"\", \"'\"], {\"\\\"\": \"\\\\\\\"\", \"'\": \"\\\\'\"}));\n      Opal.const_set($nesting[0], 'NameRx', new RegExp(\"\" + ($$($nesting, 'CG_WORD')) + \"[\" + ($$($nesting, 'CC_WORD')) + \"\\\\-.]*\"));\n      Opal.const_set($nesting[0], 'BlankRx', /[ \\t]+/);\n      Opal.const_set($nesting[0], 'SkipRxs', $hash2([\"blank\", \",\"], {\"blank\": $$($nesting, 'BlankRx'), \",\": /[ \\t]*(,|$)/}));\n      \n      Opal.def(self, '$initialize', TMP_AttributeList_initialize_1 = function $$initialize(source, block, delimiter) {\n        var self = this;\n\n        if (block == null) {\n          block = nil;\n        }\n        if (delimiter == null) {\n          delimiter = \",\";\n        }\n        \n        self.scanner = $$$('::', 'StringScanner').$new(source);\n        self.block = block;\n        self.delimiter = delimiter;\n        self.delimiter_skip_pattern = $$($nesting, 'SkipRxs')['$[]'](delimiter);\n        self.delimiter_boundary_pattern = $$($nesting, 'BoundaryRxs')['$[]'](delimiter);\n        return (self.attributes = nil);\n      }, TMP_AttributeList_initialize_1.$$arity = -2);\n      \n      Opal.def(self, '$parse_into', TMP_AttributeList_parse_into_2 = function $$parse_into(attributes, posattrs) {\n        var self = this;\n\n        if (posattrs == null) {\n          posattrs = [];\n        }\n        return attributes.$update(self.$parse(posattrs))\n      }, TMP_AttributeList_parse_into_2.$$arity = -2);\n      \n      Opal.def(self, '$parse', TMP_AttributeList_parse_3 = function $$parse(posattrs) {\n        var $a, self = this, index = nil;\n\n        if (posattrs == null) {\n          posattrs = [];\n        }\n        \n        if ($truthy(self.attributes)) {\n          return self.attributes};\n        self.attributes = $hash2([], {});\n        index = 0;\n        while ($truthy(self.$parse_attribute(index, posattrs))) {\n          \n          if ($truthy(self.scanner['$eos?']())) {\n            break;};\n          self.$skip_delimiter();\n          index = $rb_plus(index, 1);\n        };\n        return self.attributes;\n      }, TMP_AttributeList_parse_3.$$arity = -1);\n      \n      Opal.def(self, '$rekey', TMP_AttributeList_rekey_4 = function $$rekey(posattrs) {\n        var self = this;\n\n        return $$($nesting, 'AttributeList').$rekey(self.attributes, posattrs)\n      }, TMP_AttributeList_rekey_4.$$arity = 1);\n      Opal.defs(self, '$rekey', TMP_AttributeList_rekey_6 = function $$rekey(attributes, pos_attrs) {\n        var TMP_5, self = this;\n\n        \n        $send(pos_attrs, 'each_with_index', [], (TMP_5 = function(key, index){var self = TMP_5.$$s || this, pos = nil, val = nil, $writer = nil;\nif (key == null) key = nil;if (index == null) index = nil;\n        \n          if ($truthy(key)) {\n          } else {\n            return nil;\n          };\n          pos = $rb_plus(index, 1);\n          if ($truthy((val = attributes['$[]'](pos)))) {\n            \n            $writer = [key, val];\n            $send(attributes, '[]=', Opal.to_a($writer));\n            return $writer[$rb_minus($writer[\"length\"], 1)];\n          } else {\n            return nil\n          };}, TMP_5.$$s = self, TMP_5.$$arity = 2, TMP_5));\n        return attributes;\n      }, TMP_AttributeList_rekey_6.$$arity = 2);\n      \n      Opal.def(self, '$parse_attribute', TMP_AttributeList_parse_attribute_8 = function $$parse_attribute(index, pos_attrs) {\n        var $a, TMP_7, self = this, single_quoted_value = nil, first = nil, name = nil, value = nil, skipped = nil, c = nil, $case = nil, $writer = nil, resolved_name = nil, pos_name = nil;\n\n        if (index == null) {\n          index = 0;\n        }\n        if (pos_attrs == null) {\n          pos_attrs = [];\n        }\n        \n        single_quoted_value = false;\n        self.$skip_blank();\n        if ((first = self.scanner.$peek(1))['$=='](\"\\\"\")) {\n          \n          name = self.$parse_attribute_value(self.scanner.$get_byte());\n          value = nil;\n        } else if (first['$=='](\"'\")) {\n          \n          name = self.$parse_attribute_value(self.scanner.$get_byte());\n          value = nil;\n          single_quoted_value = true;\n        } else {\n          \n          name = self.$scan_name();\n          skipped = 0;\n          c = nil;\n          if ($truthy(self.scanner['$eos?']())) {\n            if ($truthy(name)) {\n            } else {\n              return false\n            }\n          } else {\n            \n            skipped = ($truthy($a = self.$skip_blank()) ? $a : 0);\n            c = self.scanner.$get_byte();\n          };\n          if ($truthy(($truthy($a = c['$!']()) ? $a : c['$=='](self.delimiter)))) {\n            value = nil\n          } else if ($truthy(($truthy($a = c['$!='](\"=\")) ? $a : name['$!']()))) {\n            \n            name = \"\" + (name) + ($rb_times(\" \", skipped)) + (c) + (self.$scan_to_delimiter());\n            value = nil;\n          } else {\n            \n            self.$skip_blank();\n            if ($truthy(self.scanner.$peek(1))) {\n              if ((c = self.scanner.$get_byte())['$=='](\"\\\"\")) {\n                value = self.$parse_attribute_value(c)\n              } else if (c['$=='](\"'\")) {\n                \n                value = self.$parse_attribute_value(c);\n                single_quoted_value = true;\n              } else if (c['$=='](self.delimiter)) {\n                value = nil\n              } else {\n                \n                value = \"\" + (c) + (self.$scan_to_delimiter());\n                if (value['$=='](\"None\")) {\n                  return true};\n              }};\n          };\n        };\n        if ($truthy(value)) {\n          $case = name;\n          if (\"options\"['$===']($case) || \"opts\"['$===']($case)) {\n          if ($truthy(value['$include?'](\",\"))) {\n            \n            if ($truthy(value['$include?'](\" \"))) {\n              value = value.$delete(\" \")};\n            $send(value.$split(\",\"), 'each', [], (TMP_7 = function(opt){var self = TMP_7.$$s || this, $writer = nil;\n              if (self.attributes == null) self.attributes = nil;\nif (opt == null) opt = nil;\n            if ($truthy(opt['$empty?']())) {\n                return nil\n              } else {\n                \n                $writer = [\"\" + (opt) + \"-option\", \"\"];\n                $send(self.attributes, '[]=', Opal.to_a($writer));\n                return $writer[$rb_minus($writer[\"length\"], 1)];\n              }}, TMP_7.$$s = self, TMP_7.$$arity = 1, TMP_7));\n          } else {\n            \n            $writer = [\"\" + ((value = value.$strip())) + \"-option\", \"\"];\n            $send(self.attributes, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];\n          };\n          \n          $writer = [\"options\", value];\n          $send(self.attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;}\n          else {if ($truthy(($truthy($a = single_quoted_value) ? self.block : $a))) {\n            $case = name;\n            if (\"title\"['$===']($case) || \"reftext\"['$===']($case)) {\n            $writer = [name, value];\n            $send(self.attributes, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];}\n            else {\n            $writer = [name, self.block.$apply_subs(value)];\n            $send(self.attributes, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];}\n          } else {\n            \n            $writer = [name, value];\n            $send(self.attributes, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];\n          }}\n        } else {\n          \n          resolved_name = (function() {if ($truthy(($truthy($a = single_quoted_value) ? self.block : $a))) {\n            \n            return self.block.$apply_subs(name);\n          } else {\n            return name\n          }; return nil; })();\n          if ($truthy((pos_name = pos_attrs['$[]'](index)))) {\n            \n            $writer = [pos_name, resolved_name];\n            $send(self.attributes, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};\n          \n          $writer = [$rb_plus(index, 1), resolved_name];\n          $send(self.attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n        };\n        return true;\n      }, TMP_AttributeList_parse_attribute_8.$$arity = -1);\n      \n      Opal.def(self, '$parse_attribute_value', TMP_AttributeList_parse_attribute_value_9 = function $$parse_attribute_value(quote) {\n        var self = this, value = nil;\n\n        \n        if (self.scanner.$peek(1)['$=='](quote)) {\n          \n          self.scanner.$get_byte();\n          return \"\";};\n        if ($truthy((value = self.$scan_to_quote(quote)))) {\n          \n          self.scanner.$get_byte();\n          if ($truthy(value['$include?']($$($nesting, 'BACKSLASH')))) {\n            return value.$gsub($$($nesting, 'EscapedQuotes')['$[]'](quote), quote)\n          } else {\n            return value\n          };\n        } else {\n          return \"\" + (quote) + (self.$scan_to_delimiter())\n        };\n      }, TMP_AttributeList_parse_attribute_value_9.$$arity = 1);\n      \n      Opal.def(self, '$skip_blank', TMP_AttributeList_skip_blank_10 = function $$skip_blank() {\n        var self = this;\n\n        return self.scanner.$skip($$($nesting, 'BlankRx'))\n      }, TMP_AttributeList_skip_blank_10.$$arity = 0);\n      \n      Opal.def(self, '$skip_delimiter', TMP_AttributeList_skip_delimiter_11 = function $$skip_delimiter() {\n        var self = this;\n\n        return self.scanner.$skip(self.delimiter_skip_pattern)\n      }, TMP_AttributeList_skip_delimiter_11.$$arity = 0);\n      \n      Opal.def(self, '$scan_name', TMP_AttributeList_scan_name_12 = function $$scan_name() {\n        var self = this;\n\n        return self.scanner.$scan($$($nesting, 'NameRx'))\n      }, TMP_AttributeList_scan_name_12.$$arity = 0);\n      \n      Opal.def(self, '$scan_to_delimiter', TMP_AttributeList_scan_to_delimiter_13 = function $$scan_to_delimiter() {\n        var self = this;\n\n        return self.scanner.$scan(self.delimiter_boundary_pattern)\n      }, TMP_AttributeList_scan_to_delimiter_13.$$arity = 0);\n      return (Opal.def(self, '$scan_to_quote', TMP_AttributeList_scan_to_quote_14 = function $$scan_to_quote(quote) {\n        var self = this;\n\n        return self.scanner.$scan($$($nesting, 'BoundaryRxs')['$[]'](quote))\n      }, TMP_AttributeList_scan_to_quote_14.$$arity = 1), nil) && 'scan_to_quote';\n    })($nesting[0], null, $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/block\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $send = Opal.send, $hash2 = Opal.hash2, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$default=', '$-', '$attr_accessor', '$[]', '$key?', '$==', '$===', '$dup', '$delete', '$[]=', '$lock_in_subs', '$nil_or_empty?', '$normalize_lines_from_string', '$apply_subs', '$*', '$<', '$size', '$empty?', '$rstrip', '$shift', '$pop', '$warn', '$to_s', '$class', '$object_id', '$inspect']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $Block(){};\n      var self = $Block = $klass($base, $super, 'Block', $Block);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Block_initialize_1, TMP_Block_content_2, TMP_Block_source_3, TMP_Block_to_s_4, $writer = nil;\n\n      def.attributes = def.content_model = def.lines = def.subs = def.blocks = def.context = def.style = nil;\n      \n      \n      $writer = [\"simple\"];\n      $send(Opal.const_set($nesting[0], 'DEFAULT_CONTENT_MODEL', $hash2([\"audio\", \"image\", \"listing\", \"literal\", \"stem\", \"open\", \"page_break\", \"pass\", \"thematic_break\", \"video\"], {\"audio\": \"empty\", \"image\": \"empty\", \"listing\": \"verbatim\", \"literal\": \"verbatim\", \"stem\": \"raw\", \"open\": \"compound\", \"page_break\": \"empty\", \"pass\": \"raw\", \"thematic_break\": \"empty\", \"video\": \"empty\"})), 'default=', Opal.to_a($writer));\n      $writer[$rb_minus($writer[\"length\"], 1)];;\n      Opal.alias(self, \"blockname\", \"context\");\n      self.$attr_accessor(\"lines\");\n      \n      Opal.def(self, '$initialize', TMP_Block_initialize_1 = function $$initialize(parent, context, opts) {\n        var $a, self = this, $iter = TMP_Block_initialize_1.$$p, $yield = $iter || nil, subs = nil, $writer = nil, raw_source = nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        if ($iter) TMP_Block_initialize_1.$$p = null;\n        // Prepare super implicit arguments\n        for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n          $zuper[$zuper_i] = arguments[$zuper_i];\n        }\n        \n        $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_Block_initialize_1, false), $zuper, $iter);\n        self.content_model = ($truthy($a = opts['$[]'](\"content_model\")) ? $a : $$($nesting, 'DEFAULT_CONTENT_MODEL')['$[]'](context));\n        if ($truthy(opts['$key?'](\"subs\"))) {\n          if ($truthy((subs = opts['$[]'](\"subs\")))) {\n            \n            if (subs['$=='](\"default\")) {\n              self.default_subs = opts['$[]'](\"default_subs\")\n            } else if ($truthy($$$('::', 'Array')['$==='](subs))) {\n              \n              self.default_subs = subs.$dup();\n              self.attributes.$delete(\"subs\");\n            } else {\n              \n              self.default_subs = nil;\n              \n              $writer = [\"subs\", \"\" + (subs)];\n              $send(self.attributes, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;\n            };\n            self.$lock_in_subs();\n          } else {\n            \n            self.default_subs = [];\n            self.attributes.$delete(\"subs\");\n          }\n        } else {\n          self.default_subs = nil\n        };\n        if ($truthy((raw_source = opts['$[]'](\"source\"))['$nil_or_empty?']())) {\n          return (self.lines = [])\n        } else if ($truthy($$$('::', 'String')['$==='](raw_source))) {\n          return (self.lines = $$($nesting, 'Helpers').$normalize_lines_from_string(raw_source))\n        } else {\n          return (self.lines = raw_source.$dup())\n        };\n      }, TMP_Block_initialize_1.$$arity = -3);\n      \n      Opal.def(self, '$content', TMP_Block_content_2 = function $$content() {\n        var $a, $b, self = this, $iter = TMP_Block_content_2.$$p, $yield = $iter || nil, $case = nil, result = nil, first = nil, last = nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n        if ($iter) TMP_Block_content_2.$$p = null;\n        // Prepare super implicit arguments\n        for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n          $zuper[$zuper_i] = arguments[$zuper_i];\n        }\n        return (function() {$case = self.content_model;\n        if (\"compound\"['$===']($case)) {return $send(self, Opal.find_super_dispatcher(self, 'content', TMP_Block_content_2, false), $zuper, $iter)}\n        else if (\"simple\"['$===']($case)) {return self.$apply_subs($rb_times(self.lines, $$($nesting, 'LF')), self.subs)}\n        else if (\"verbatim\"['$===']($case) || \"raw\"['$===']($case)) {\n        result = self.$apply_subs(self.lines, self.subs);\n        if ($truthy($rb_lt(result.$size(), 2))) {\n          return result['$[]'](0)\n        } else {\n          \n          while ($truthy(($truthy($b = (first = result['$[]'](0))) ? first.$rstrip()['$empty?']() : $b))) {\n            result.$shift()\n          };\n          while ($truthy(($truthy($b = (last = result['$[]'](-1))) ? last.$rstrip()['$empty?']() : $b))) {\n            result.$pop()\n          };\n          return $rb_times(result, $$($nesting, 'LF'));\n        };}\n        else {\n        if (self.content_model['$=='](\"empty\")) {\n        } else {\n          self.$warn(\"\" + \"Unknown content model '\" + (self.content_model) + \"' for block: \" + (self.$to_s()))\n        };\n        return nil;}})()\n      }, TMP_Block_content_2.$$arity = 0);\n      \n      Opal.def(self, '$source', TMP_Block_source_3 = function $$source() {\n        var self = this;\n\n        return $rb_times(self.lines, $$($nesting, 'LF'))\n      }, TMP_Block_source_3.$$arity = 0);\n      return (Opal.def(self, '$to_s', TMP_Block_to_s_4 = function $$to_s() {\n        var self = this, content_summary = nil;\n\n        \n        content_summary = (function() {if (self.content_model['$=='](\"compound\")) {\n          return \"\" + \"blocks: \" + (self.blocks.$size())\n        } else {\n          return \"\" + \"lines: \" + (self.lines.$size())\n        }; return nil; })();\n        return \"\" + \"#<\" + (self.$class()) + \"@\" + (self.$object_id()) + \" {context: \" + (self.context.$inspect()) + \", content_model: \" + (self.content_model.$inspect()) + \", style: \" + (self.style.$inspect()) + \", \" + (content_summary) + \"}>\";\n      }, TMP_Block_to_s_4.$$arity = 0), nil) && 'to_s';\n    })($nesting[0], $$($nesting, 'AbstractBlock'), $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/callouts\"] = function(Opal) {\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_le(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs <= rhs : lhs['$<='](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $hash2 = Opal.hash2, $truthy = Opal.truthy, $send = Opal.send;\n\n  Opal.add_stubs(['$next_list', '$<<', '$current_list', '$to_i', '$generate_next_callout_id', '$+', '$<=', '$size', '$[]', '$-', '$chop', '$join', '$map', '$==', '$<', '$generate_callout_id']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $Callouts(){};\n      var self = $Callouts = $klass($base, $super, 'Callouts', $Callouts);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Callouts_initialize_1, TMP_Callouts_register_2, TMP_Callouts_read_next_id_3, TMP_Callouts_callout_ids_5, TMP_Callouts_current_list_6, TMP_Callouts_next_list_7, TMP_Callouts_rewind_8, TMP_Callouts_generate_next_callout_id_9, TMP_Callouts_generate_callout_id_10;\n\n      def.co_index = def.lists = def.list_index = nil;\n      \n      \n      Opal.def(self, '$initialize', TMP_Callouts_initialize_1 = function $$initialize() {\n        var self = this;\n\n        \n        self.lists = [];\n        self.list_index = 0;\n        return self.$next_list();\n      }, TMP_Callouts_initialize_1.$$arity = 0);\n      \n      Opal.def(self, '$register', TMP_Callouts_register_2 = function $$register(li_ordinal) {\n        var self = this, id = nil;\n\n        \n        self.$current_list()['$<<']($hash2([\"ordinal\", \"id\"], {\"ordinal\": li_ordinal.$to_i(), \"id\": (id = self.$generate_next_callout_id())}));\n        self.co_index = $rb_plus(self.co_index, 1);\n        return id;\n      }, TMP_Callouts_register_2.$$arity = 1);\n      \n      Opal.def(self, '$read_next_id', TMP_Callouts_read_next_id_3 = function $$read_next_id() {\n        var self = this, id = nil, list = nil;\n\n        \n        id = nil;\n        list = self.$current_list();\n        if ($truthy($rb_le(self.co_index, list.$size()))) {\n          id = list['$[]']($rb_minus(self.co_index, 1))['$[]'](\"id\")};\n        self.co_index = $rb_plus(self.co_index, 1);\n        return id;\n      }, TMP_Callouts_read_next_id_3.$$arity = 0);\n      \n      Opal.def(self, '$callout_ids', TMP_Callouts_callout_ids_5 = function $$callout_ids(li_ordinal) {\n        var TMP_4, self = this;\n\n        return $send(self.$current_list(), 'map', [], (TMP_4 = function(element){var self = TMP_4.$$s || this;\nif (element == null) element = nil;\n        if (element['$[]'](\"ordinal\")['$=='](li_ordinal)) {\n            return \"\" + (element['$[]'](\"id\")) + \" \"\n          } else {\n            return nil\n          }}, TMP_4.$$s = self, TMP_4.$$arity = 1, TMP_4)).$join().$chop()\n      }, TMP_Callouts_callout_ids_5.$$arity = 1);\n      \n      Opal.def(self, '$current_list', TMP_Callouts_current_list_6 = function $$current_list() {\n        var self = this;\n\n        return self.lists['$[]']($rb_minus(self.list_index, 1))\n      }, TMP_Callouts_current_list_6.$$arity = 0);\n      \n      Opal.def(self, '$next_list', TMP_Callouts_next_list_7 = function $$next_list() {\n        var self = this;\n\n        \n        self.list_index = $rb_plus(self.list_index, 1);\n        if ($truthy($rb_lt(self.lists.$size(), self.list_index))) {\n          self.lists['$<<']([])};\n        self.co_index = 1;\n        return nil;\n      }, TMP_Callouts_next_list_7.$$arity = 0);\n      \n      Opal.def(self, '$rewind', TMP_Callouts_rewind_8 = function $$rewind() {\n        var self = this;\n\n        \n        self.list_index = 1;\n        self.co_index = 1;\n        return nil;\n      }, TMP_Callouts_rewind_8.$$arity = 0);\n      \n      Opal.def(self, '$generate_next_callout_id', TMP_Callouts_generate_next_callout_id_9 = function $$generate_next_callout_id() {\n        var self = this;\n\n        return self.$generate_callout_id(self.list_index, self.co_index)\n      }, TMP_Callouts_generate_next_callout_id_9.$$arity = 0);\n      return (Opal.def(self, '$generate_callout_id', TMP_Callouts_generate_callout_id_10 = function $$generate_callout_id(list_index, co_index) {\n        var self = this;\n\n        return \"\" + \"CO\" + (list_index) + \"-\" + (co_index)\n      }, TMP_Callouts_generate_callout_id_10.$$arity = 2), nil) && 'generate_callout_id';\n    })($nesting[0], null, $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/converter/base\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $hash2 = Opal.hash2, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$include', '$node_name', '$empty?', '$send', '$content']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    \n    (function($base, $parent_nesting) {\n      var $Converter, self = $Converter = $module($base, 'Converter');\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n      nil\n    })($nesting[0], $nesting);\n    (function($base, $super, $parent_nesting) {\n      function $Base(){};\n      var self = $Base = $klass($base, $super, 'Base', $Base);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n      return self.$include($$($nesting, 'Converter'))\n    })($$($nesting, 'Converter'), null, $nesting);\n    (function($base, $super, $parent_nesting) {\n      function $BuiltIn(){};\n      var self = $BuiltIn = $klass($base, $super, 'BuiltIn', $BuiltIn);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_BuiltIn_initialize_1, TMP_BuiltIn_convert_2, TMP_BuiltIn_content_3, TMP_BuiltIn_skip_4;\n\n      \n      \n      Opal.def(self, '$initialize', TMP_BuiltIn_initialize_1 = function $$initialize(backend, opts) {\n        var self = this;\n\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        return nil\n      }, TMP_BuiltIn_initialize_1.$$arity = -2);\n      \n      Opal.def(self, '$convert', TMP_BuiltIn_convert_2 = function $$convert(node, transform, opts) {\n        var $a, self = this;\n\n        if (transform == null) {\n          transform = nil;\n        }\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        \n        transform = ($truthy($a = transform) ? $a : node.$node_name());\n        if ($truthy(opts['$empty?']())) {\n          \n          return self.$send(transform, node);\n        } else {\n          \n          return self.$send(transform, node, opts);\n        };\n      }, TMP_BuiltIn_convert_2.$$arity = -2);\n      Opal.alias(self, \"handles?\", \"respond_to?\");\n      \n      Opal.def(self, '$content', TMP_BuiltIn_content_3 = function $$content(node) {\n        var self = this;\n\n        return node.$content()\n      }, TMP_BuiltIn_content_3.$$arity = 1);\n      Opal.alias(self, \"pass\", \"content\");\n      return (Opal.def(self, '$skip', TMP_BuiltIn_skip_4 = function $$skip(node) {\n        var self = this;\n\n        return nil\n      }, TMP_BuiltIn_skip_4.$$arity = 1), nil) && 'skip';\n    })($$($nesting, 'Converter'), null, $nesting);\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/converter/factory\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $truthy = Opal.truthy, $hash2 = Opal.hash2, $send = Opal.send;\n\n  Opal.add_stubs(['$new', '$require', '$to_s', '$warn', '$register', '$default', '$resolve', '$create', '$converters', '$unregister_all', '$attr_reader', '$each', '$[]=', '$-', '$==', '$[]', '$clear', '$===', '$key?']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $parent_nesting) {\n      var $Converter, self = $Converter = $module($base, 'Converter');\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n      (function($base, $super, $parent_nesting) {\n        function $Factory(){};\n        var self = $Factory = $klass($base, $super, 'Factory', $Factory);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Factory_initialize_7, TMP_Factory_register_9, TMP_Factory_resolve_10, TMP_Factory_unregister_all_11, TMP_Factory_create_12;\n\n        def.converters = def.star_converter = nil;\n        \n        self.__default__ = nil;\n        (function(self, $parent_nesting) {\n          var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_default_1, TMP_register_2, TMP_resolve_3, TMP_create_4, TMP_converters_5, TMP_unregister_all_6;\n\n          \n          \n          Opal.def(self, '$default', TMP_default_1 = function(initialize_singleton) {\n            var $a, $b, self = this;\n            if (self.__default__ == null) self.__default__ = nil;\n\n            if (initialize_singleton == null) {\n              initialize_singleton = true;\n            }\n            \n            if ($truthy(initialize_singleton)) {\n            } else {\n              return ($truthy($a = self.__default__) ? $a : self.$new())\n            };\n            return (self.__default__ = ($truthy($a = self.__default__) ? $a : (function() { try {\n              \n              if ($truthy((($b = $$$('::', 'ThreadSafe', 'skip_raise')) ? 'constant' : nil))) {\n              } else {\n                self.$require(\"thread_safe\".$to_s())\n              };\n              return self.$new($$$($$$('::', 'ThreadSafe'), 'Cache').$new());\n            } catch ($err) {\n              if (Opal.rescue($err, [$$$('::', 'LoadError')])) {\n                try {\n                  \n                  self.$warn(\"asciidoctor: WARNING: gem 'thread_safe' is not installed. This gem is recommended when registering custom converters.\");\n                  return self.$new();\n                } finally { Opal.pop_exception() }\n              } else { throw $err; }\n            }})()));\n          }, TMP_default_1.$$arity = -1);\n          \n          Opal.def(self, '$register', TMP_register_2 = function $$register(converter, backends) {\n            var self = this;\n\n            if (backends == null) {\n              backends = [\"*\"];\n            }\n            return self.$default().$register(converter, backends)\n          }, TMP_register_2.$$arity = -2);\n          \n          Opal.def(self, '$resolve', TMP_resolve_3 = function $$resolve(backend) {\n            var self = this;\n\n            return self.$default().$resolve(backend)\n          }, TMP_resolve_3.$$arity = 1);\n          \n          Opal.def(self, '$create', TMP_create_4 = function $$create(backend, opts) {\n            var self = this;\n\n            if (opts == null) {\n              opts = $hash2([], {});\n            }\n            return self.$default().$create(backend, opts)\n          }, TMP_create_4.$$arity = -2);\n          \n          Opal.def(self, '$converters', TMP_converters_5 = function $$converters() {\n            var self = this;\n\n            return self.$default().$converters()\n          }, TMP_converters_5.$$arity = 0);\n          return (Opal.def(self, '$unregister_all', TMP_unregister_all_6 = function $$unregister_all() {\n            var self = this;\n\n            return self.$default().$unregister_all()\n          }, TMP_unregister_all_6.$$arity = 0), nil) && 'unregister_all';\n        })(Opal.get_singleton_class(self), $nesting);\n        self.$attr_reader(\"converters\");\n        \n        Opal.def(self, '$initialize', TMP_Factory_initialize_7 = function $$initialize(converters) {\n          var $a, self = this;\n\n          if (converters == null) {\n            converters = nil;\n          }\n          \n          self.converters = ($truthy($a = converters) ? $a : $hash2([], {}));\n          return (self.star_converter = nil);\n        }, TMP_Factory_initialize_7.$$arity = -1);\n        \n        Opal.def(self, '$register', TMP_Factory_register_9 = function $$register(converter, backends) {\n          var TMP_8, self = this;\n\n          if (backends == null) {\n            backends = [\"*\"];\n          }\n          \n          $send(backends, 'each', [], (TMP_8 = function(backend){var self = TMP_8.$$s || this, $writer = nil;\n            if (self.converters == null) self.converters = nil;\nif (backend == null) backend = nil;\n          \n            \n            $writer = [backend, converter];\n            $send(self.converters, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            if (backend['$=='](\"*\")) {\n              return (self.star_converter = converter)\n            } else {\n              return nil\n            };}, TMP_8.$$s = self, TMP_8.$$arity = 1, TMP_8));\n          return nil;\n        }, TMP_Factory_register_9.$$arity = -2);\n        \n        Opal.def(self, '$resolve', TMP_Factory_resolve_10 = function $$resolve(backend) {\n          var $a, $b, self = this;\n\n          return ($truthy($a = self.converters) ? ($truthy($b = self.converters['$[]'](backend)) ? $b : self.star_converter) : $a)\n        }, TMP_Factory_resolve_10.$$arity = 1);\n        \n        Opal.def(self, '$unregister_all', TMP_Factory_unregister_all_11 = function $$unregister_all() {\n          var self = this;\n\n          \n          self.converters.$clear();\n          return (self.star_converter = nil);\n        }, TMP_Factory_unregister_all_11.$$arity = 0);\n        return (Opal.def(self, '$create', TMP_Factory_create_12 = function $$create(backend, opts) {\n          var $a, $b, $c, $d, $e, $f, $g, $h, $i, $j, $k, $l, $m, $n, $o, $p, $q, $r, self = this, converter = nil, base_converter = nil, $case = nil, template_converter = nil;\n\n          if (opts == null) {\n            opts = $hash2([], {});\n          }\n          \n          if ($truthy((converter = self.$resolve(backend)))) {\n            return (function() {if ($truthy($$$('::', 'Class')['$==='](converter))) {\n              \n              return converter.$new(backend, opts);\n            } else {\n              return converter\n            }; return nil; })()};\n          base_converter = (function() {$case = backend;\n          if (\"html5\"['$===']($case)) {\n          if ($truthy((($c = $$$('::', 'Asciidoctor', 'skip_raise')) && ($b = $$$($c, 'Converter', 'skip_raise')) && ($a = $$$($b, 'Html5Converter', 'skip_raise')) ? 'constant' : nil))) {\n          } else {\n            self.$require(\"asciidoctor/converter/html5\".$to_s())\n          };\n          return $$($nesting, 'Html5Converter').$new(backend, opts);}\n          else if (\"docbook5\"['$===']($case)) {\n          if ($truthy((($f = $$$('::', 'Asciidoctor', 'skip_raise')) && ($e = $$$($f, 'Converter', 'skip_raise')) && ($d = $$$($e, 'DocBook5Converter', 'skip_raise')) ? 'constant' : nil))) {\n          } else {\n            self.$require(\"asciidoctor/converter/docbook5\".$to_s())\n          };\n          return $$($nesting, 'DocBook5Converter').$new(backend, opts);}\n          else if (\"docbook45\"['$===']($case)) {\n          if ($truthy((($i = $$$('::', 'Asciidoctor', 'skip_raise')) && ($h = $$$($i, 'Converter', 'skip_raise')) && ($g = $$$($h, 'DocBook45Converter', 'skip_raise')) ? 'constant' : nil))) {\n          } else {\n            self.$require(\"asciidoctor/converter/docbook45\".$to_s())\n          };\n          return $$($nesting, 'DocBook45Converter').$new(backend, opts);}\n          else if (\"manpage\"['$===']($case)) {\n          if ($truthy((($l = $$$('::', 'Asciidoctor', 'skip_raise')) && ($k = $$$($l, 'Converter', 'skip_raise')) && ($j = $$$($k, 'ManPageConverter', 'skip_raise')) ? 'constant' : nil))) {\n          } else {\n            self.$require(\"asciidoctor/converter/manpage\".$to_s())\n          };\n          return $$($nesting, 'ManPageConverter').$new(backend, opts);}\n          else { return nil }})();\n          if ($truthy(opts['$key?'](\"template_dirs\"))) {\n          } else {\n            return base_converter\n          };\n          if ($truthy((($o = $$$('::', 'Asciidoctor', 'skip_raise')) && ($n = $$$($o, 'Converter', 'skip_raise')) && ($m = $$$($n, 'TemplateConverter', 'skip_raise')) ? 'constant' : nil))) {\n          } else {\n            self.$require(\"asciidoctor/converter/template\".$to_s())\n          };\n          if ($truthy((($r = $$$('::', 'Asciidoctor', 'skip_raise')) && ($q = $$$($r, 'Converter', 'skip_raise')) && ($p = $$$($q, 'CompositeConverter', 'skip_raise')) ? 'constant' : nil))) {\n          } else {\n            self.$require(\"asciidoctor/converter/composite\".$to_s())\n          };\n          template_converter = $$($nesting, 'TemplateConverter').$new(backend, opts['$[]'](\"template_dirs\"), opts);\n          return $$($nesting, 'CompositeConverter').$new(backend, template_converter, base_converter);\n        }, TMP_Factory_create_12.$$arity = -2), nil) && 'create';\n      })($nesting[0], null, $nesting)\n    })($nesting[0], $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/converter\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $send = Opal.send, $truthy = Opal.truthy, $range = Opal.range, $hash2 = Opal.hash2;\n\n  Opal.add_stubs(['$register', '$==', '$send', '$include?', '$setup_backend_info', '$raise', '$class', '$sub', '$[]', '$[]=', '$backend_info', '$-', '$extend', '$include', '$respond_to?', '$write', '$chomp', '$require']);\n  \n  (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    \n    (function($base, $parent_nesting) {\n      var $Converter, self = $Converter = $module($base, 'Converter');\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Converter_initialize_11, TMP_Converter_convert_12;\n\n      \n      (function($base, $parent_nesting) {\n        var $Config, self = $Config = $module($base, 'Config');\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Config_register_for_3;\n\n        \n        Opal.def(self, '$register_for', TMP_Config_register_for_3 = function $$register_for($a_rest) {\n          var TMP_1, TMP_2, self = this, backends, metaclass = nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          backends = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            backends[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          \n          $$($nesting, 'Factory').$register(self, backends);\n          metaclass = (function(self, $parent_nesting) {\n            var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n            return self\n          })(Opal.get_singleton_class(self), $nesting);\n          if (backends['$==']([\"*\"])) {\n            $send(metaclass, 'send', [\"define_method\", \"converts?\"], (TMP_1 = function(name){var self = TMP_1.$$s || this;\nif (name == null) name = nil;\n            return true}, TMP_1.$$s = self, TMP_1.$$arity = 1, TMP_1))\n          } else {\n            $send(metaclass, 'send', [\"define_method\", \"converts?\"], (TMP_2 = function(name){var self = TMP_2.$$s || this;\nif (name == null) name = nil;\n            return backends['$include?'](name)}, TMP_2.$$s = self, TMP_2.$$arity = 1, TMP_2))\n          };\n          return nil;\n        }, TMP_Config_register_for_3.$$arity = -1)\n      })($nesting[0], $nesting);\n      (function($base, $parent_nesting) {\n        var $BackendInfo, self = $BackendInfo = $module($base, 'BackendInfo');\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_BackendInfo_backend_info_4, TMP_BackendInfo_setup_backend_info_5, TMP_BackendInfo_filetype_6, TMP_BackendInfo_basebackend_7, TMP_BackendInfo_outfilesuffix_8, TMP_BackendInfo_htmlsyntax_9;\n\n        \n        \n        Opal.def(self, '$backend_info', TMP_BackendInfo_backend_info_4 = function $$backend_info() {\n          var $a, self = this;\n          if (self.backend_info == null) self.backend_info = nil;\n\n          return (self.backend_info = ($truthy($a = self.backend_info) ? $a : self.$setup_backend_info()))\n        }, TMP_BackendInfo_backend_info_4.$$arity = 0);\n        \n        Opal.def(self, '$setup_backend_info', TMP_BackendInfo_setup_backend_info_5 = function $$setup_backend_info() {\n          var self = this, base = nil, ext = nil, type = nil, syntax = nil;\n          if (self.backend == null) self.backend = nil;\n\n          \n          if ($truthy(self.backend)) {\n          } else {\n            self.$raise($$$('::', 'ArgumentError'), \"\" + \"Cannot determine backend for converter: \" + (self.$class()))\n          };\n          base = self.backend.$sub($$($nesting, 'TrailingDigitsRx'), \"\");\n          if ($truthy((ext = $$($nesting, 'DEFAULT_EXTENSIONS')['$[]'](base)))) {\n            type = ext['$[]']($range(1, -1, false))\n          } else {\n            \n            base = \"html\";\n            ext = \".html\";\n            type = \"html\";\n            syntax = \"html\";\n          };\n          return $hash2([\"basebackend\", \"outfilesuffix\", \"filetype\", \"htmlsyntax\"], {\"basebackend\": base, \"outfilesuffix\": ext, \"filetype\": type, \"htmlsyntax\": syntax});\n        }, TMP_BackendInfo_setup_backend_info_5.$$arity = 0);\n        \n        Opal.def(self, '$filetype', TMP_BackendInfo_filetype_6 = function $$filetype(value) {\n          var self = this, $writer = nil;\n\n          if (value == null) {\n            value = nil;\n          }\n          if ($truthy(value)) {\n            \n            $writer = [\"filetype\", value];\n            $send(self.$backend_info(), '[]=', Opal.to_a($writer));\n            return $writer[$rb_minus($writer[\"length\"], 1)];\n          } else {\n            return self.$backend_info()['$[]'](\"filetype\")\n          }\n        }, TMP_BackendInfo_filetype_6.$$arity = -1);\n        \n        Opal.def(self, '$basebackend', TMP_BackendInfo_basebackend_7 = function $$basebackend(value) {\n          var self = this, $writer = nil;\n\n          if (value == null) {\n            value = nil;\n          }\n          if ($truthy(value)) {\n            \n            $writer = [\"basebackend\", value];\n            $send(self.$backend_info(), '[]=', Opal.to_a($writer));\n            return $writer[$rb_minus($writer[\"length\"], 1)];\n          } else {\n            return self.$backend_info()['$[]'](\"basebackend\")\n          }\n        }, TMP_BackendInfo_basebackend_7.$$arity = -1);\n        \n        Opal.def(self, '$outfilesuffix', TMP_BackendInfo_outfilesuffix_8 = function $$outfilesuffix(value) {\n          var self = this, $writer = nil;\n\n          if (value == null) {\n            value = nil;\n          }\n          if ($truthy(value)) {\n            \n            $writer = [\"outfilesuffix\", value];\n            $send(self.$backend_info(), '[]=', Opal.to_a($writer));\n            return $writer[$rb_minus($writer[\"length\"], 1)];\n          } else {\n            return self.$backend_info()['$[]'](\"outfilesuffix\")\n          }\n        }, TMP_BackendInfo_outfilesuffix_8.$$arity = -1);\n        \n        Opal.def(self, '$htmlsyntax', TMP_BackendInfo_htmlsyntax_9 = function $$htmlsyntax(value) {\n          var self = this, $writer = nil;\n\n          if (value == null) {\n            value = nil;\n          }\n          if ($truthy(value)) {\n            \n            $writer = [\"htmlsyntax\", value];\n            $send(self.$backend_info(), '[]=', Opal.to_a($writer));\n            return $writer[$rb_minus($writer[\"length\"], 1)];\n          } else {\n            return self.$backend_info()['$[]'](\"htmlsyntax\")\n          }\n        }, TMP_BackendInfo_htmlsyntax_9.$$arity = -1);\n      })($nesting[0], $nesting);\n      (function(self, $parent_nesting) {\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_included_10;\n\n        return (Opal.def(self, '$included', TMP_included_10 = function $$included(converter) {\n          var self = this;\n\n          return converter.$extend($$($nesting, 'Config'))\n        }, TMP_included_10.$$arity = 1), nil) && 'included'\n      })(Opal.get_singleton_class(self), $nesting);\n      self.$include($$($nesting, 'Config'));\n      self.$include($$($nesting, 'BackendInfo'));\n      \n      Opal.def(self, '$initialize', TMP_Converter_initialize_11 = function $$initialize(backend, opts) {\n        var self = this;\n\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        \n        self.backend = backend;\n        return self.$setup_backend_info();\n      }, TMP_Converter_initialize_11.$$arity = -2);\n      \n      Opal.def(self, '$convert', TMP_Converter_convert_12 = function $$convert(node, transform, opts) {\n        var self = this;\n\n        if (transform == null) {\n          transform = nil;\n        }\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        return self.$raise($$$('::', 'NotImplementedError'))\n      }, TMP_Converter_convert_12.$$arity = -2);\n      Opal.alias(self, \"convert_with_options\", \"convert\");\n    })($nesting[0], $nesting);\n    (function($base, $parent_nesting) {\n      var $Writer, self = $Writer = $module($base, 'Writer');\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Writer_write_13;\n\n      \n      Opal.def(self, '$write', TMP_Writer_write_13 = function $$write(output, target) {\n        var self = this;\n\n        \n        if ($truthy(target['$respond_to?'](\"write\"))) {\n          \n          target.$write(output.$chomp());\n          target.$write($$($nesting, 'LF'));\n        } else {\n          $$$('::', 'IO').$write(target, output)\n        };\n        return nil;\n      }, TMP_Writer_write_13.$$arity = 2)\n    })($nesting[0], $nesting);\n    (function($base, $parent_nesting) {\n      var $VoidWriter, self = $VoidWriter = $module($base, 'VoidWriter');\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_VoidWriter_write_14;\n\n      \n      self.$include($$($nesting, 'Writer'));\n      \n      Opal.def(self, '$write', TMP_VoidWriter_write_14 = function $$write(output, target) {\n        var self = this;\n\n        return nil\n      }, TMP_VoidWriter_write_14.$$arity = 2);\n    })($nesting[0], $nesting);\n  })($nesting[0], $nesting);\n  self.$require(\"asciidoctor/converter/base\");\n  return self.$require(\"asciidoctor/converter/factory\");\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/document\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_ge(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs >= rhs : lhs['$>='](rhs);\n  }\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $truthy = Opal.truthy, $send = Opal.send, $hash2 = Opal.hash2, $range = Opal.range, $gvars = Opal.gvars;\n\n  Opal.add_stubs(['$new', '$attr_reader', '$nil?', '$<<', '$[]', '$[]=', '$-', '$include?', '$strip', '$squeeze', '$gsub', '$empty?', '$!', '$rpartition', '$attr_accessor', '$delete', '$base_dir', '$inject', '$catalog', '$==', '$callouts', '$dup', '$attributes', '$safe', '$compat_mode', '$sourcemap', '$converter', '$extensions', '$each', '$start_with?', '$end_with?', '$chop', '$downcase', '$===', '$value_for_name', '$to_s', '$key?', '$freeze', '$attribute_undefined', '$attribute_missing', '$name_for_value', '$expand_path', '$pwd', '$>=', '$+', '$length', '$fetch', '$abs', '$to_i', '$delete_if', '$update_doctype_attributes', '$parse', '$restore_attributes', '$update_backend_attributes', '$utc', '$at', '$Integer', '$now', '$index', '$slice', '$strftime', '$year', '$join', '$create', '$to_proc', '$activate', '$preprocessors?', '$preprocessors', '$process_method', '$tree_processors?', '$tree_processors', '$!=', '$counter', '$nil_or_empty?', '$nextval', '$value', '$save_to', '$chr', '$ord', '$source', '$source_lines', '$sectname=', '$title=', '$title', '$first_section', '$merge', '$find', '$context', '$enumerate_section', '$clear_playback_attributes', '$save_attributes', '$attribute_locked?', '$doctitle', '$rewind', '$name', '$negate', '$limit_bytesize', '$apply_attribute_value_subs', '$delete?', '$=~', '$apply_subs', '$resolve_pass_subs', '$apply_header_subs', '$create_converter', '$basebackend', '$outfilesuffix', '$filetype', '$sub', '$raise', '$backend', '$default', '$doctype', '$content_model', '$warn', '$content', '$convert', '$postprocessors?', '$postprocessors', '$write', '$respond_to?', '$chomp', '$map', '$split', '$resolve_docinfo_subs', '$&', '$normalize_system_path', '$read_asset', '$docinfo_processors?', '$compact', '$*', '$resolve_subs', '$docinfo_processors', '$class', '$object_id', '$inspect', '$size']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $Document(){};\n      var self = $Document = $klass($base, $super, 'Document', $Document);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Document_initialize_7, TMP_Document_parse_13, TMP_Document_counter_14, TMP_Document_increment_and_store_counter_15, TMP_Document_nextval_16, TMP_Document_register_17, TMP_Document_footnotes$q_18, TMP_Document_footnotes_19, TMP_Document_nested$q_20, TMP_Document_embedded$q_21, TMP_Document_extensions$q_22, TMP_Document_source_23, TMP_Document_source_lines_24, TMP_Document_basebackend$q_25, TMP_Document_title_26, TMP_Document_title$eq_27, TMP_Document_doctitle_28, TMP_Document_author_29, TMP_Document_revdate_30, TMP_Document_notitle_31, TMP_Document_noheader_32, TMP_Document_nofooter_33, TMP_Document_first_section_35, TMP_Document_has_header$q_36, TMP_Document_$lt$lt_37, TMP_Document_finalize_header_38, TMP_Document_save_attributes_40, TMP_Document_restore_attributes_41, TMP_Document_clear_playback_attributes_42, TMP_Document_playback_attributes_44, TMP_Document_set_attribute_45, TMP_Document_delete_attribute_46, TMP_Document_attribute_locked$q_47, TMP_Document_apply_attribute_value_subs_48, TMP_Document_update_backend_attributes_49, TMP_Document_update_doctype_attributes_50, TMP_Document_create_converter_51, TMP_Document_convert_53, TMP_Document_write_54, TMP_Document_content_55, TMP_Document_docinfo_58, TMP_Document_resolve_docinfo_subs_59, TMP_Document_docinfo_processors$q_60, TMP_Document_to_s_61;\n\n      def.attributes = def.safe = def.reader = def.base_dir = def.parsed = def.parent_document = def.extensions = def.options = def.counters = def.catalog = def.header = def.blocks = def.attributes_modified = def.id = def.callouts = def.header_attributes = def.max_attribute_value_size = def.attribute_overrides = def.backend = def.doctype = def.converter = def.outfilesuffix = def.docinfo_processor_extensions = def.document = nil;\n      \n      Opal.const_set($nesting[0], 'Footnote', $$$('::', 'Struct').$new(\"index\", \"id\", \"text\"));\n      (function($base, $super, $parent_nesting) {\n        function $AttributeEntry(){};\n        var self = $AttributeEntry = $klass($base, $super, 'AttributeEntry', $AttributeEntry);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_AttributeEntry_initialize_1, TMP_AttributeEntry_save_to_2;\n\n        \n        self.$attr_reader(\"name\", \"value\", \"negate\");\n        \n        Opal.def(self, '$initialize', TMP_AttributeEntry_initialize_1 = function $$initialize(name, value, negate) {\n          var self = this;\n\n          if (negate == null) {\n            negate = nil;\n          }\n          \n          self.name = name;\n          self.value = value;\n          return (self.negate = (function() {if ($truthy(negate['$nil?']())) {\n            return value['$nil?']()\n          } else {\n            return negate\n          }; return nil; })());\n        }, TMP_AttributeEntry_initialize_1.$$arity = -3);\n        return (Opal.def(self, '$save_to', TMP_AttributeEntry_save_to_2 = function $$save_to(block_attributes) {\n          var $a, self = this, $writer = nil;\n\n          \n          ($truthy($a = block_attributes['$[]'](\"attribute_entries\")) ? $a : (($writer = [\"attribute_entries\", []]), $send(block_attributes, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))['$<<'](self);\n          return self;\n        }, TMP_AttributeEntry_save_to_2.$$arity = 1), nil) && 'save_to';\n      })($nesting[0], null, $nesting);\n      (function($base, $super, $parent_nesting) {\n        function $Title(){};\n        var self = $Title = $klass($base, $super, 'Title', $Title);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Title_initialize_3, TMP_Title_sanitized$q_4, TMP_Title_subtitle$q_5, TMP_Title_to_s_6;\n\n        def.sanitized = def.subtitle = def.combined = nil;\n        \n        self.$attr_reader(\"main\");\n        Opal.alias(self, \"title\", \"main\");\n        self.$attr_reader(\"subtitle\");\n        self.$attr_reader(\"combined\");\n        \n        Opal.def(self, '$initialize', TMP_Title_initialize_3 = function $$initialize(val, opts) {\n          var $a, $b, self = this, sep = nil, _ = nil;\n\n          if (opts == null) {\n            opts = $hash2([], {});\n          }\n          \n          if ($truthy(($truthy($a = (self.sanitized = opts['$[]'](\"sanitize\"))) ? val['$include?'](\"<\") : $a))) {\n            val = val.$gsub($$($nesting, 'XmlSanitizeRx'), \"\").$squeeze(\" \").$strip()};\n          if ($truthy(($truthy($a = (sep = ($truthy($b = opts['$[]'](\"separator\")) ? $b : \":\"))['$empty?']()) ? $a : val['$include?']((sep = \"\" + (sep) + \" \"))['$!']()))) {\n            \n            self.main = val;\n            self.subtitle = nil;\n          } else {\n            $b = val.$rpartition(sep), $a = Opal.to_ary($b), (self.main = ($a[0] == null ? nil : $a[0])), (_ = ($a[1] == null ? nil : $a[1])), (self.subtitle = ($a[2] == null ? nil : $a[2])), $b\n          };\n          return (self.combined = val);\n        }, TMP_Title_initialize_3.$$arity = -2);\n        \n        Opal.def(self, '$sanitized?', TMP_Title_sanitized$q_4 = function() {\n          var self = this;\n\n          return self.sanitized\n        }, TMP_Title_sanitized$q_4.$$arity = 0);\n        \n        Opal.def(self, '$subtitle?', TMP_Title_subtitle$q_5 = function() {\n          var self = this;\n\n          if ($truthy(self.subtitle)) {\n            return true\n          } else {\n            return false\n          }\n        }, TMP_Title_subtitle$q_5.$$arity = 0);\n        return (Opal.def(self, '$to_s', TMP_Title_to_s_6 = function $$to_s() {\n          var self = this;\n\n          return self.combined\n        }, TMP_Title_to_s_6.$$arity = 0), nil) && 'to_s';\n      })($nesting[0], null, $nesting);\n      self.$attr_reader(\"safe\");\n      self.$attr_reader(\"compat_mode\");\n      self.$attr_reader(\"backend\");\n      self.$attr_reader(\"doctype\");\n      self.$attr_accessor(\"sourcemap\");\n      self.$attr_reader(\"catalog\");\n      Opal.alias(self, \"references\", \"catalog\");\n      self.$attr_reader(\"counters\");\n      self.$attr_reader(\"callouts\");\n      self.$attr_reader(\"header\");\n      self.$attr_reader(\"base_dir\");\n      self.$attr_reader(\"options\");\n      self.$attr_reader(\"outfilesuffix\");\n      self.$attr_reader(\"parent_document\");\n      self.$attr_reader(\"reader\");\n      self.$attr_reader(\"converter\");\n      self.$attr_reader(\"extensions\");\n      \n      Opal.def(self, '$initialize', TMP_Document_initialize_7 = function $$initialize(data, options) {\n        var $a, TMP_8, TMP_9, $b, $c, TMP_10, $d, self = this, $iter = TMP_Document_initialize_7.$$p, $yield = $iter || nil, parent_doc = nil, $writer = nil, attr_overrides = nil, parent_doctype = nil, initialize_extensions = nil, safe_mode = nil, header_footer = nil, attrs = nil, safe_mode_name = nil, base_dir_val = nil, backend_val = nil, doctype_val = nil, size = nil, now = nil, localdate = nil, localyear = nil, localtime = nil, ext_registry = nil, ext_block = nil;\n\n        if (data == null) {\n          data = nil;\n        }\n        if (options == null) {\n          options = $hash2([], {});\n        }\n        if ($iter) TMP_Document_initialize_7.$$p = null;\n        \n        $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_Document_initialize_7, false), [self, \"document\"], null);\n        if ($truthy((parent_doc = options.$delete(\"parent\")))) {\n          \n          self.parent_document = parent_doc;\n          ($truthy($a = options['$[]'](\"base_dir\")) ? $a : (($writer = [\"base_dir\", parent_doc.$base_dir()]), $send(options, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n          self.catalog = $send(parent_doc.$catalog(), 'inject', [$hash2([], {})], (TMP_8 = function(accum, $b){var self = TMP_8.$$s || this, $b_args, key, table;\n\n            if ($b == null) {\n              $b = nil;\n            }\n            $b = Opal.to_ary($b);\n            $b_args = Opal.slice.call($b, 0, $b.length);\n            key = $b_args.splice(0,1)[0];\n            if (key == null) {\n              key = nil;\n            }\n            table = $b_args.splice(0,1)[0];\n            if (table == null) {\n              table = nil;\n            }if (accum == null) accum = nil;\n          \n            \n            $writer = [key, (function() {if (key['$=='](\"footnotes\")) {\n              return []\n            } else {\n              return table\n            }; return nil; })()];\n            $send(accum, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            return accum;}, TMP_8.$$s = self, TMP_8.$$arity = 2, TMP_8.$$has_top_level_mlhs_arg = true, TMP_8));\n          self.callouts = parent_doc.$callouts();\n          self.attribute_overrides = (attr_overrides = parent_doc.$attributes().$dup());\n          parent_doctype = attr_overrides.$delete(\"doctype\");\n          attr_overrides.$delete(\"compat-mode\");\n          attr_overrides.$delete(\"toc\");\n          attr_overrides.$delete(\"toc-placement\");\n          attr_overrides.$delete(\"toc-position\");\n          self.safe = parent_doc.$safe();\n          if ($truthy((self.compat_mode = parent_doc.$compat_mode()))) {\n            \n            $writer = [\"compat-mode\", \"\"];\n            $send(self.attributes, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};\n          self.sourcemap = parent_doc.$sourcemap();\n          self.converter = parent_doc.$converter();\n          initialize_extensions = false;\n          self.extensions = parent_doc.$extensions();\n        } else {\n          \n          self.parent_document = nil;\n          self.catalog = $hash2([\"ids\", \"refs\", \"footnotes\", \"links\", \"images\", \"indexterms\", \"includes\"], {\"ids\": $hash2([], {}), \"refs\": $hash2([], {}), \"footnotes\": [], \"links\": [], \"images\": [], \"indexterms\": [], \"includes\": $$$('::', 'Set').$new()});\n          self.callouts = $$($nesting, 'Callouts').$new();\n          attr_overrides = $hash2([], {});\n          $send(($truthy($a = options['$[]'](\"attributes\")) ? $a : $hash2([], {})), 'each', [], (TMP_9 = function(key, value){var self = TMP_9.$$s || this;\nif (key == null) key = nil;if (value == null) value = nil;\n          \n            if ($truthy(key['$start_with?'](\"!\"))) {\n              \n              key = key['$[]']($range(1, -1, false));\n              value = nil;\n            } else if ($truthy(key['$end_with?'](\"!\"))) {\n              \n              key = key.$chop();\n              value = nil;};\n            \n            $writer = [key.$downcase(), value];\n            $send(attr_overrides, '[]=', Opal.to_a($writer));\n            return $writer[$rb_minus($writer[\"length\"], 1)];;}, TMP_9.$$s = self, TMP_9.$$arity = 2, TMP_9));\n          self.attribute_overrides = attr_overrides;\n          if ($truthy((safe_mode = options['$[]'](\"safe\"))['$!']())) {\n            self.safe = $$$($$($nesting, 'SafeMode'), 'SECURE')\n          } else if ($truthy($$$('::', 'Integer')['$==='](safe_mode))) {\n            self.safe = safe_mode\n          } else {\n            \n            try {\n              self.safe = $$($nesting, 'SafeMode').$value_for_name(safe_mode.$to_s())\n            } catch ($err) {\n              if (Opal.rescue($err, [$$($nesting, 'StandardError')])) {\n                try {\n                  self.safe = $$$($$($nesting, 'SafeMode'), 'SECURE')\n                } finally { Opal.pop_exception() }\n              } else { throw $err; }\n            };\n          };\n          self.compat_mode = attr_overrides['$key?'](\"compat-mode\");\n          self.sourcemap = options['$[]'](\"sourcemap\");\n          self.converter = nil;\n          initialize_extensions = (($b = $$$('::', 'Asciidoctor', 'skip_raise')) && ($a = $$$($b, 'Extensions', 'skip_raise')) ? 'constant' : nil);\n          self.extensions = nil;\n        };\n        self.parsed = false;\n        self.header = nil;\n        self.counters = $hash2([], {});\n        self.attributes_modified = $$$('::', 'Set').$new();\n        self.docinfo_processor_extensions = $hash2([], {});\n        header_footer = ($truthy($c = options['$[]'](\"header_footer\")) ? $c : (($writer = [\"header_footer\", false]), $send(options, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n        (self.options = options).$freeze();\n        attrs = self.attributes;\n        \n        $writer = [\"sectids\", \"\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"toc-placement\", \"auto\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        if ($truthy(header_footer)) {\n          \n          \n          $writer = [\"copycss\", \"\"];\n          $send(attrs, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [\"embedded\", nil];\n          $send(attr_overrides, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n        } else {\n          \n          \n          $writer = [\"notitle\", \"\"];\n          $send(attrs, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [\"embedded\", \"\"];\n          $send(attr_overrides, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n        };\n        \n        $writer = [\"stylesheet\", \"\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"webfonts\", \"\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"prewrap\", \"\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"attribute-undefined\", $$($nesting, 'Compliance').$attribute_undefined()];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"attribute-missing\", $$($nesting, 'Compliance').$attribute_missing()];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"iconfont-remote\", \"\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"caution-caption\", \"Caution\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"important-caption\", \"Important\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"note-caption\", \"Note\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"tip-caption\", \"Tip\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"warning-caption\", \"Warning\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"example-caption\", \"Example\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"figure-caption\", \"Figure\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"table-caption\", \"Table\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"toc-title\", \"Table of Contents\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"manname-title\", \"NAME\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"section-refsig\", \"Section\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"chapter-refsig\", \"Chapter\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"appendix-caption\", (($writer = [\"appendix-refsig\", \"Appendix\"]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"untitled-label\", \"Untitled\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"version-label\", \"Version\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"last-update-label\", \"Last updated\"];\n        $send(attrs, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"asciidoctor\", \"\"];\n        $send(attr_overrides, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"asciidoctor-version\", $$($nesting, 'VERSION')];\n        $send(attr_overrides, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"safe-mode-name\", (safe_mode_name = $$($nesting, 'SafeMode').$name_for_value(self.safe))];\n        $send(attr_overrides, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"\" + \"safe-mode-\" + (safe_mode_name), \"\"];\n        $send(attr_overrides, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"safe-mode-level\", self.safe];\n        $send(attr_overrides, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        ($truthy($c = attr_overrides['$[]'](\"max-include-depth\")) ? $c : (($writer = [\"max-include-depth\", 64]), $send(attr_overrides, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n        ($truthy($c = attr_overrides['$[]'](\"allow-uri-read\")) ? $c : (($writer = [\"allow-uri-read\", nil]), $send(attr_overrides, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n        \n        $writer = [\"user-home\", $$($nesting, 'USER_HOME')];\n        $send(attr_overrides, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        if ($truthy(attr_overrides['$key?'](\"numbered\"))) {\n          \n          $writer = [\"sectnums\", attr_overrides.$delete(\"numbered\")];\n          $send(attr_overrides, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];};\n        if ($truthy((base_dir_val = options['$[]'](\"base_dir\")))) {\n          self.base_dir = (($writer = [\"docdir\", $$$('::', 'File').$expand_path(base_dir_val)]), $send(attr_overrides, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])\n        } else if ($truthy(attr_overrides['$[]'](\"docdir\"))) {\n          self.base_dir = attr_overrides['$[]'](\"docdir\")\n        } else {\n          self.base_dir = (($writer = [\"docdir\", $$$('::', 'Dir').$pwd()]), $send(attr_overrides, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])\n        };\n        if ($truthy((backend_val = options['$[]'](\"backend\")))) {\n          \n          $writer = [\"backend\", \"\" + (backend_val)];\n          $send(attr_overrides, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];};\n        if ($truthy((doctype_val = options['$[]'](\"doctype\")))) {\n          \n          $writer = [\"doctype\", \"\" + (doctype_val)];\n          $send(attr_overrides, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];};\n        if ($truthy($rb_ge(self.safe, $$$($$($nesting, 'SafeMode'), 'SERVER')))) {\n          \n          ($truthy($c = attr_overrides['$[]'](\"copycss\")) ? $c : (($writer = [\"copycss\", nil]), $send(attr_overrides, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n          ($truthy($c = attr_overrides['$[]'](\"source-highlighter\")) ? $c : (($writer = [\"source-highlighter\", nil]), $send(attr_overrides, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n          ($truthy($c = attr_overrides['$[]'](\"backend\")) ? $c : (($writer = [\"backend\", $$($nesting, 'DEFAULT_BACKEND')]), $send(attr_overrides, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n          if ($truthy(($truthy($c = parent_doc['$!']()) ? attr_overrides['$key?'](\"docfile\") : $c))) {\n            \n            $writer = [\"docfile\", attr_overrides['$[]'](\"docfile\")['$[]'](Opal.Range.$new($rb_plus(attr_overrides['$[]'](\"docdir\").$length(), 1), -1, false))];\n            $send(attr_overrides, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};\n          \n          $writer = [\"docdir\", \"\"];\n          $send(attr_overrides, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [\"user-home\", \".\"];\n          $send(attr_overrides, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          if ($truthy($rb_ge(self.safe, $$$($$($nesting, 'SafeMode'), 'SECURE')))) {\n            \n            if ($truthy(attr_overrides['$key?'](\"max-attribute-value-size\"))) {\n            } else {\n              \n              $writer = [\"max-attribute-value-size\", 4096];\n              $send(attr_overrides, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];\n            };\n            if ($truthy(attr_overrides.$fetch(\"linkcss\", \"\")['$nil?']())) {\n            } else {\n              \n              $writer = [\"linkcss\", \"\"];\n              $send(attr_overrides, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];\n            };\n            ($truthy($c = attr_overrides['$[]'](\"icons\")) ? $c : (($writer = [\"icons\", nil]), $send(attr_overrides, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));};};\n        self.max_attribute_value_size = (function() {if ($truthy((size = ($truthy($c = attr_overrides['$[]'](\"max-attribute-value-size\")) ? $c : (($writer = [\"max-attribute-value-size\", nil]), $send(attr_overrides, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))))) {\n          return size.$to_i().$abs()\n        } else {\n          return nil\n        }; return nil; })();\n        $send(attr_overrides, 'delete_if', [], (TMP_10 = function(key, val){var self = TMP_10.$$s || this, $d, verdict = nil;\nif (key == null) key = nil;if (val == null) val = nil;\n        \n          verdict = false;\n          if ($truthy(val['$nil?']())) {\n            attrs.$delete(key)\n          } else {\n            \n            if ($truthy(($truthy($d = $$$('::', 'String')['$==='](val)) ? val['$end_with?'](\"@\") : $d))) {\n              \n              val = val.$chop();\n              verdict = true;};\n            \n            $writer = [key, val];\n            $send(attrs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n          };\n          return verdict;}, TMP_10.$$s = self, TMP_10.$$arity = 2, TMP_10));\n        if ($truthy(parent_doc)) {\n          \n          self.backend = attrs['$[]'](\"backend\");\n          if ((self.doctype = (($writer = [\"doctype\", parent_doctype]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))['$==']($$($nesting, 'DEFAULT_DOCTYPE'))) {\n          } else {\n            self.$update_doctype_attributes($$($nesting, 'DEFAULT_DOCTYPE'))\n          };\n          self.reader = $$($nesting, 'Reader').$new(data, options['$[]'](\"cursor\"));\n          $$($nesting, 'Parser').$parse(self.reader, self);\n          self.$restore_attributes();\n          return (self.parsed = true);\n        } else {\n          \n          self.backend = nil;\n          if (($truthy($c = attrs['$[]'](\"backend\")) ? $c : (($writer = [\"backend\", $$($nesting, 'DEFAULT_BACKEND')]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))['$=='](\"manpage\")) {\n            self.doctype = (($writer = [\"doctype\", (($writer = [\"doctype\", \"manpage\"]), $send(attr_overrides, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])\n          } else {\n            self.doctype = ($truthy($c = attrs['$[]'](\"doctype\")) ? $c : (($writer = [\"doctype\", $$($nesting, 'DEFAULT_DOCTYPE')]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))\n          };\n          self.$update_backend_attributes(attrs['$[]'](\"backend\"), true);\n          now = (function() {if ($truthy($$$('::', 'ENV')['$[]'](\"SOURCE_DATE_EPOCH\"))) {\n            return $$$('::', 'Time').$at(self.$Integer($$$('::', 'ENV')['$[]'](\"SOURCE_DATE_EPOCH\"))).$utc()\n          } else {\n            return $$$('::', 'Time').$now()\n          }; return nil; })();\n          if ($truthy((localdate = attrs['$[]'](\"localdate\")))) {\n            localyear = ($truthy($c = attrs['$[]'](\"localyear\")) ? $c : (($writer = [\"localyear\", (function() {if (localdate.$index(\"-\")['$=='](4)) {\n              \n              return localdate.$slice(0, 4);\n            } else {\n              return nil\n            }; return nil; })()]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))\n          } else {\n            \n            localdate = (($writer = [\"localdate\", now.$strftime(\"%Y-%m-%d\")]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]);\n            localyear = ($truthy($c = attrs['$[]'](\"localyear\")) ? $c : (($writer = [\"localyear\", now.$year().$to_s()]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n          };\n          localtime = ($truthy($c = attrs['$[]'](\"localtime\")) ? $c : (($writer = [\"localtime\", (function() { try {\n            return now.$strftime(\"%H:%M:%S %Z\")\n          } catch ($err) {\n            if (Opal.rescue($err, [$$($nesting, 'StandardError')])) {\n              try {\n                return now.$strftime(\"%H:%M:%S %z\")\n              } finally { Opal.pop_exception() }\n            } else { throw $err; }\n          }})()]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n          ($truthy($c = attrs['$[]'](\"localdatetime\")) ? $c : (($writer = [\"localdatetime\", \"\" + (localdate) + \" \" + (localtime)]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n          ($truthy($c = attrs['$[]'](\"docdate\")) ? $c : (($writer = [\"docdate\", localdate]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n          ($truthy($c = attrs['$[]'](\"docyear\")) ? $c : (($writer = [\"docyear\", localyear]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n          ($truthy($c = attrs['$[]'](\"doctime\")) ? $c : (($writer = [\"doctime\", localtime]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n          ($truthy($c = attrs['$[]'](\"docdatetime\")) ? $c : (($writer = [\"docdatetime\", \"\" + (localdate) + \" \" + (localtime)]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n          ($truthy($c = attrs['$[]'](\"stylesdir\")) ? $c : (($writer = [\"stylesdir\", \".\"]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n          ($truthy($c = attrs['$[]'](\"iconsdir\")) ? $c : (($writer = [\"iconsdir\", $$$('::', 'File').$join(attrs.$fetch(\"imagesdir\", \"./images\"), \"icons\")]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n          if ($truthy(initialize_extensions)) {\n            \n            if ($truthy((ext_registry = options['$[]'](\"extension_registry\")))) {\n              if ($truthy(($truthy($c = $$$($$($nesting, 'Extensions'), 'Registry')['$==='](ext_registry)) ? $c : ($truthy($d = $$$('::', 'RUBY_ENGINE_JRUBY')) ? $$$($$$($$$('::', 'AsciidoctorJ'), 'Extensions'), 'ExtensionRegistry')['$==='](ext_registry) : $d)))) {\n              } else {\n                ext_registry = $$$($$($nesting, 'Extensions'), 'Registry').$new()\n              }\n            } else if ($truthy($$$('::', 'Proc')['$===']((ext_block = options['$[]'](\"extensions\"))))) {\n              ext_registry = $send($$($nesting, 'Extensions'), 'create', [], ext_block.$to_proc())\n            } else {\n              ext_registry = $$$($$($nesting, 'Extensions'), 'Registry').$new()\n            };\n            self.extensions = ext_registry.$activate(self);};\n          return (self.reader = $$($nesting, 'PreprocessorReader').$new(self, data, $$$($$($nesting, 'Reader'), 'Cursor').$new(attrs['$[]'](\"docfile\"), self.base_dir), $hash2([\"normalize\"], {\"normalize\": true})));\n        };\n      }, TMP_Document_initialize_7.$$arity = -1);\n      \n      Opal.def(self, '$parse', TMP_Document_parse_13 = function $$parse(data) {\n        var $a, TMP_11, TMP_12, self = this, doc = nil, exts = nil;\n\n        if (data == null) {\n          data = nil;\n        }\n        if ($truthy(self.parsed)) {\n          return self\n        } else {\n          \n          doc = self;\n          if ($truthy(data)) {\n            self.reader = $$($nesting, 'PreprocessorReader').$new(doc, data, $$$($$($nesting, 'Reader'), 'Cursor').$new(self.attributes['$[]'](\"docfile\"), self.base_dir), $hash2([\"normalize\"], {\"normalize\": true}))};\n          if ($truthy(($truthy($a = (exts = (function() {if ($truthy(self.parent_document)) {\n            return nil\n          } else {\n            return self.extensions\n          }; return nil; })())) ? exts['$preprocessors?']() : $a))) {\n            $send(exts.$preprocessors(), 'each', [], (TMP_11 = function(ext){var self = TMP_11.$$s || this, $b;\n              if (self.reader == null) self.reader = nil;\nif (ext == null) ext = nil;\n            return (self.reader = ($truthy($b = ext.$process_method()['$[]'](doc, self.reader)) ? $b : self.reader))}, TMP_11.$$s = self, TMP_11.$$arity = 1, TMP_11))};\n          $$($nesting, 'Parser').$parse(self.reader, doc, $hash2([\"header_only\"], {\"header_only\": self.options['$[]'](\"parse_header_only\")}));\n          self.$restore_attributes();\n          if ($truthy(($truthy($a = exts) ? exts['$tree_processors?']() : $a))) {\n            $send(exts.$tree_processors(), 'each', [], (TMP_12 = function(ext){var self = TMP_12.$$s || this, $b, $c, result = nil;\nif (ext == null) ext = nil;\n            if ($truthy(($truthy($b = ($truthy($c = (result = ext.$process_method()['$[]'](doc))) ? $$($nesting, 'Document')['$==='](result) : $c)) ? result['$!='](doc) : $b))) {\n                return (doc = result)\n              } else {\n                return nil\n              }}, TMP_12.$$s = self, TMP_12.$$arity = 1, TMP_12))};\n          self.parsed = true;\n          return doc;\n        }\n      }, TMP_Document_parse_13.$$arity = -1);\n      \n      Opal.def(self, '$counter', TMP_Document_counter_14 = function $$counter(name, seed) {\n        var $a, self = this, attr_seed = nil, attr_val = nil, $writer = nil;\n\n        if (seed == null) {\n          seed = nil;\n        }\n        \n        if ($truthy(self.parent_document)) {\n          return self.parent_document.$counter(name, seed)};\n        if ($truthy(($truthy($a = (attr_seed = (attr_val = self.attributes['$[]'](name))['$nil_or_empty?']()['$!']())) ? self.counters['$key?'](name) : $a))) {\n          \n          $writer = [name, (($writer = [name, self.$nextval(attr_val)]), $send(self.counters, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])];\n          $send(self.attributes, '[]=', Opal.to_a($writer));\n          return $writer[$rb_minus($writer[\"length\"], 1)];\n        } else if ($truthy(seed)) {\n          \n          $writer = [name, (($writer = [name, (function() {if (seed['$=='](seed.$to_i().$to_s())) {\n            return seed.$to_i()\n          } else {\n            return seed\n          }; return nil; })()]), $send(self.counters, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])];\n          $send(self.attributes, '[]=', Opal.to_a($writer));\n          return $writer[$rb_minus($writer[\"length\"], 1)];\n        } else {\n          \n          $writer = [name, (($writer = [name, self.$nextval((function() {if ($truthy(attr_seed)) {\n            return attr_val\n          } else {\n            return 0\n          }; return nil; })())]), $send(self.counters, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])];\n          $send(self.attributes, '[]=', Opal.to_a($writer));\n          return $writer[$rb_minus($writer[\"length\"], 1)];\n        };\n      }, TMP_Document_counter_14.$$arity = -2);\n      \n      Opal.def(self, '$increment_and_store_counter', TMP_Document_increment_and_store_counter_15 = function $$increment_and_store_counter(counter_name, block) {\n        var self = this;\n\n        return $$($nesting, 'AttributeEntry').$new(counter_name, self.$counter(counter_name)).$save_to(block.$attributes()).$value()\n      }, TMP_Document_increment_and_store_counter_15.$$arity = 2);\n      Opal.alias(self, \"counter_increment\", \"increment_and_store_counter\");\n      \n      Opal.def(self, '$nextval', TMP_Document_nextval_16 = function $$nextval(current) {\n        var self = this, intval = nil;\n\n        if ($truthy($$$('::', 'Integer')['$==='](current))) {\n          return $rb_plus(current, 1)\n        } else {\n          \n          intval = current.$to_i();\n          if ($truthy(intval.$to_s()['$!='](current.$to_s()))) {\n            return $rb_plus(current['$[]'](0).$ord(), 1).$chr()\n          } else {\n            return $rb_plus(intval, 1)\n          };\n        }\n      }, TMP_Document_nextval_16.$$arity = 1);\n      \n      Opal.def(self, '$register', TMP_Document_register_17 = function $$register(type, value) {\n        var $a, $b, self = this, $case = nil, id = nil, reftext = nil, $logical_op_recvr_tmp_1 = nil, $writer = nil, ref = nil, refs = nil;\n\n        return (function() {$case = type;\n        if (\"ids\"['$===']($case)) {\n        $b = value, $a = Opal.to_ary($b), (id = ($a[0] == null ? nil : $a[0])), (reftext = ($a[1] == null ? nil : $a[1])), $b;\n        \n        $logical_op_recvr_tmp_1 = self.catalog['$[]'](\"ids\");\n        return ($truthy($a = $logical_op_recvr_tmp_1['$[]'](id)) ? $a : (($writer = [id, ($truthy($b = reftext) ? $b : $rb_plus($rb_plus(\"[\", id), \"]\"))]), $send($logical_op_recvr_tmp_1, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));;}\n        else if (\"refs\"['$===']($case)) {\n        $b = value, $a = Opal.to_ary($b), (id = ($a[0] == null ? nil : $a[0])), (ref = ($a[1] == null ? nil : $a[1])), (reftext = ($a[2] == null ? nil : $a[2])), $b;\n        if ($truthy((refs = self.catalog['$[]'](\"refs\"))['$key?'](id))) {\n          return nil\n        } else {\n          \n          \n          $writer = [id, ($truthy($a = reftext) ? $a : $rb_plus($rb_plus(\"[\", id), \"]\"))];\n          $send(self.catalog['$[]'](\"ids\"), '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [id, ref];\n          $send(refs, '[]=', Opal.to_a($writer));\n          return $writer[$rb_minus($writer[\"length\"], 1)];;\n        };}\n        else if (\"footnotes\"['$===']($case) || \"indexterms\"['$===']($case)) {return self.catalog['$[]'](type)['$<<'](value)}\n        else {if ($truthy(self.options['$[]'](\"catalog_assets\"))) {\n          return self.catalog['$[]'](type)['$<<'](value)\n        } else {\n          return nil\n        }}})()\n      }, TMP_Document_register_17.$$arity = 2);\n      \n      Opal.def(self, '$footnotes?', TMP_Document_footnotes$q_18 = function() {\n        var self = this;\n\n        if ($truthy(self.catalog['$[]'](\"footnotes\")['$empty?']())) {\n          return false\n        } else {\n          return true\n        }\n      }, TMP_Document_footnotes$q_18.$$arity = 0);\n      \n      Opal.def(self, '$footnotes', TMP_Document_footnotes_19 = function $$footnotes() {\n        var self = this;\n\n        return self.catalog['$[]'](\"footnotes\")\n      }, TMP_Document_footnotes_19.$$arity = 0);\n      \n      Opal.def(self, '$nested?', TMP_Document_nested$q_20 = function() {\n        var self = this;\n\n        if ($truthy(self.parent_document)) {\n          return true\n        } else {\n          return false\n        }\n      }, TMP_Document_nested$q_20.$$arity = 0);\n      \n      Opal.def(self, '$embedded?', TMP_Document_embedded$q_21 = function() {\n        var self = this;\n\n        return self.attributes['$key?'](\"embedded\")\n      }, TMP_Document_embedded$q_21.$$arity = 0);\n      \n      Opal.def(self, '$extensions?', TMP_Document_extensions$q_22 = function() {\n        var self = this;\n\n        if ($truthy(self.extensions)) {\n          return true\n        } else {\n          return false\n        }\n      }, TMP_Document_extensions$q_22.$$arity = 0);\n      \n      Opal.def(self, '$source', TMP_Document_source_23 = function $$source() {\n        var self = this;\n\n        if ($truthy(self.reader)) {\n          return self.reader.$source()\n        } else {\n          return nil\n        }\n      }, TMP_Document_source_23.$$arity = 0);\n      \n      Opal.def(self, '$source_lines', TMP_Document_source_lines_24 = function $$source_lines() {\n        var self = this;\n\n        if ($truthy(self.reader)) {\n          return self.reader.$source_lines()\n        } else {\n          return nil\n        }\n      }, TMP_Document_source_lines_24.$$arity = 0);\n      \n      Opal.def(self, '$basebackend?', TMP_Document_basebackend$q_25 = function(base) {\n        var self = this;\n\n        return self.attributes['$[]'](\"basebackend\")['$=='](base)\n      }, TMP_Document_basebackend$q_25.$$arity = 1);\n      \n      Opal.def(self, '$title', TMP_Document_title_26 = function $$title() {\n        var self = this;\n\n        return self.attributes['$[]'](\"title\")\n      }, TMP_Document_title_26.$$arity = 0);\n      \n      Opal.def(self, '$title=', TMP_Document_title$eq_27 = function(title) {\n        var self = this, sect = nil, $writer = nil;\n\n        \n        if ($truthy((sect = self.header))) {\n        } else {\n          \n          $writer = [\"header\"];\n          $send((sect = (self.header = $$($nesting, 'Section').$new(self, 0, false))), 'sectname=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];\n        };\n        \n        $writer = [title];\n        $send(sect, 'title=', Opal.to_a($writer));\n        return $writer[$rb_minus($writer[\"length\"], 1)];;\n      }, TMP_Document_title$eq_27.$$arity = 1);\n      \n      Opal.def(self, '$doctitle', TMP_Document_doctitle_28 = function $$doctitle(opts) {\n        var $a, self = this, val = nil, sect = nil, separator = nil;\n\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        \n        if ($truthy((val = self.attributes['$[]'](\"title\")['$nil_or_empty?']())['$!']())) {\n          val = self.$title()\n        } else if ($truthy((sect = self.$first_section()))) {\n          val = sect.$title()\n        } else if ($truthy(($truthy($a = opts['$[]'](\"use_fallback\")) ? (val = self.attributes['$[]'](\"untitled-label\")) : $a))) {\n        } else {\n          return nil\n        };\n        if ($truthy((separator = opts['$[]'](\"partition\")))) {\n          return $$($nesting, 'Title').$new(val, opts.$merge($hash2([\"separator\"], {\"separator\": (function() {if (separator['$=='](true)) {\n            return self.attributes['$[]'](\"title-separator\")\n          } else {\n            return separator\n          }; return nil; })()})))\n        } else if ($truthy(($truthy($a = opts['$[]'](\"sanitize\")) ? val['$include?'](\"<\") : $a))) {\n          return val.$gsub($$($nesting, 'XmlSanitizeRx'), \"\").$squeeze(\" \").$strip()\n        } else {\n          return val\n        };\n      }, TMP_Document_doctitle_28.$$arity = -1);\n      Opal.alias(self, \"name\", \"doctitle\");\n      \n      Opal.def(self, '$author', TMP_Document_author_29 = function $$author() {\n        var self = this;\n\n        return self.attributes['$[]'](\"author\")\n      }, TMP_Document_author_29.$$arity = 0);\n      \n      Opal.def(self, '$revdate', TMP_Document_revdate_30 = function $$revdate() {\n        var self = this;\n\n        return self.attributes['$[]'](\"revdate\")\n      }, TMP_Document_revdate_30.$$arity = 0);\n      \n      Opal.def(self, '$notitle', TMP_Document_notitle_31 = function $$notitle() {\n        var $a, self = this;\n\n        return ($truthy($a = self.attributes['$key?'](\"showtitle\")['$!']()) ? self.attributes['$key?'](\"notitle\") : $a)\n      }, TMP_Document_notitle_31.$$arity = 0);\n      \n      Opal.def(self, '$noheader', TMP_Document_noheader_32 = function $$noheader() {\n        var self = this;\n\n        return self.attributes['$key?'](\"noheader\")\n      }, TMP_Document_noheader_32.$$arity = 0);\n      \n      Opal.def(self, '$nofooter', TMP_Document_nofooter_33 = function $$nofooter() {\n        var self = this;\n\n        return self.attributes['$key?'](\"nofooter\")\n      }, TMP_Document_nofooter_33.$$arity = 0);\n      \n      Opal.def(self, '$first_section', TMP_Document_first_section_35 = function $$first_section() {\n        var $a, TMP_34, self = this;\n\n        return ($truthy($a = self.header) ? $a : $send(self.blocks, 'find', [], (TMP_34 = function(e){var self = TMP_34.$$s || this;\nif (e == null) e = nil;\n        return e.$context()['$=='](\"section\")}, TMP_34.$$s = self, TMP_34.$$arity = 1, TMP_34)))\n      }, TMP_Document_first_section_35.$$arity = 0);\n      \n      Opal.def(self, '$has_header?', TMP_Document_has_header$q_36 = function() {\n        var self = this;\n\n        if ($truthy(self.header)) {\n          return true\n        } else {\n          return false\n        }\n      }, TMP_Document_has_header$q_36.$$arity = 0);\n      Opal.alias(self, \"header?\", \"has_header?\");\n      \n      Opal.def(self, '$<<', TMP_Document_$lt$lt_37 = function(block) {\n        var self = this, $iter = TMP_Document_$lt$lt_37.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n        if ($iter) TMP_Document_$lt$lt_37.$$p = null;\n        // Prepare super implicit arguments\n        for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n          $zuper[$zuper_i] = arguments[$zuper_i];\n        }\n        \n        if (block.$context()['$=='](\"section\")) {\n          self.$enumerate_section(block)};\n        return $send(self, Opal.find_super_dispatcher(self, '<<', TMP_Document_$lt$lt_37, false), $zuper, $iter);\n      }, TMP_Document_$lt$lt_37.$$arity = 1);\n      \n      Opal.def(self, '$finalize_header', TMP_Document_finalize_header_38 = function $$finalize_header(unrooted_attributes, header_valid) {\n        var self = this, $writer = nil;\n\n        if (header_valid == null) {\n          header_valid = true;\n        }\n        \n        self.$clear_playback_attributes(unrooted_attributes);\n        self.$save_attributes();\n        if ($truthy(header_valid)) {\n        } else {\n          \n          $writer = [\"invalid-header\", true];\n          $send(unrooted_attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];\n        };\n        return unrooted_attributes;\n      }, TMP_Document_finalize_header_38.$$arity = -2);\n      \n      Opal.def(self, '$save_attributes', TMP_Document_save_attributes_40 = function $$save_attributes() {\n        var $a, $b, TMP_39, self = this, attrs = nil, $writer = nil, val = nil, toc_position_val = nil, toc_val = nil, toc_placement = nil, default_toc_position = nil, default_toc_class = nil, position = nil, $case = nil;\n\n        \n        if ((attrs = self.attributes)['$[]'](\"basebackend\")['$=='](\"docbook\")) {\n          \n          if ($truthy(($truthy($a = self['$attribute_locked?'](\"toc\")) ? $a : self.attributes_modified['$include?'](\"toc\")))) {\n          } else {\n            \n            $writer = [\"toc\", \"\"];\n            $send(attrs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];\n          };\n          if ($truthy(($truthy($a = self['$attribute_locked?'](\"sectnums\")) ? $a : self.attributes_modified['$include?'](\"sectnums\")))) {\n          } else {\n            \n            $writer = [\"sectnums\", \"\"];\n            $send(attrs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];\n          };};\n        if ($truthy(($truthy($a = attrs['$key?'](\"doctitle\")) ? $a : (val = self.$doctitle())['$!']()))) {\n        } else {\n          \n          $writer = [\"doctitle\", val];\n          $send(attrs, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];\n        };\n        if ($truthy(self.id)) {\n        } else {\n          self.id = attrs['$[]'](\"css-signature\")\n        };\n        toc_position_val = (function() {if ($truthy((toc_val = (function() {if ($truthy(attrs.$delete(\"toc2\"))) {\n          return \"left\"\n        } else {\n          return attrs['$[]'](\"toc\")\n        }; return nil; })()))) {\n          if ($truthy(($truthy($a = (toc_placement = attrs.$fetch(\"toc-placement\", \"macro\"))) ? toc_placement['$!='](\"auto\") : $a))) {\n            return toc_placement\n          } else {\n            return attrs['$[]'](\"toc-position\")\n          }\n        } else {\n          return nil\n        }; return nil; })();\n        if ($truthy(($truthy($a = toc_val) ? ($truthy($b = toc_val['$empty?']()['$!']()) ? $b : toc_position_val['$nil_or_empty?']()['$!']()) : $a))) {\n          \n          default_toc_position = \"left\";\n          default_toc_class = \"toc2\";\n          if ($truthy(toc_position_val['$nil_or_empty?']()['$!']())) {\n            position = toc_position_val\n          } else if ($truthy(toc_val['$empty?']()['$!']())) {\n            position = toc_val\n          } else {\n            position = default_toc_position\n          };\n          \n          $writer = [\"toc\", \"\"];\n          $send(attrs, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [\"toc-placement\", \"auto\"];\n          $send(attrs, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          $case = position;\n          if (\"left\"['$===']($case) || \"<\"['$===']($case) || \"&lt;\"['$===']($case)) {\n          $writer = [\"toc-position\", \"left\"];\n          $send(attrs, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];}\n          else if (\"right\"['$===']($case) || \">\"['$===']($case) || \"&gt;\"['$===']($case)) {\n          $writer = [\"toc-position\", \"right\"];\n          $send(attrs, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];}\n          else if (\"top\"['$===']($case) || \"^\"['$===']($case)) {\n          $writer = [\"toc-position\", \"top\"];\n          $send(attrs, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];}\n          else if (\"bottom\"['$===']($case) || \"v\"['$===']($case)) {\n          $writer = [\"toc-position\", \"bottom\"];\n          $send(attrs, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];}\n          else if (\"preamble\"['$===']($case) || \"macro\"['$===']($case)) {\n          \n          $writer = [\"toc-position\", \"content\"];\n          $send(attrs, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [\"toc-placement\", position];\n          $send(attrs, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          default_toc_class = nil;}\n          else {\n          attrs.$delete(\"toc-position\");\n          default_toc_class = nil;};\n          if ($truthy(default_toc_class)) {\n            ($truthy($a = attrs['$[]'](\"toc-class\")) ? $a : (($writer = [\"toc-class\", default_toc_class]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))};};\n        if ($truthy((self.compat_mode = attrs['$key?'](\"compat-mode\")))) {\n          if ($truthy(attrs['$key?'](\"language\"))) {\n            \n            $writer = [\"source-language\", attrs['$[]'](\"language\")];\n            $send(attrs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];}};\n        self.outfilesuffix = attrs['$[]'](\"outfilesuffix\");\n        self.header_attributes = attrs.$dup();\n        if ($truthy(self.parent_document)) {\n          return nil\n        } else {\n          return $send($$($nesting, 'FLEXIBLE_ATTRIBUTES'), 'each', [], (TMP_39 = function(name){var self = TMP_39.$$s || this, $c;\n            if (self.attribute_overrides == null) self.attribute_overrides = nil;\nif (name == null) name = nil;\n          if ($truthy(($truthy($c = self.attribute_overrides['$key?'](name)) ? self.attribute_overrides['$[]'](name) : $c))) {\n              return self.attribute_overrides.$delete(name)\n            } else {\n              return nil\n            }}, TMP_39.$$s = self, TMP_39.$$arity = 1, TMP_39))\n        };\n      }, TMP_Document_save_attributes_40.$$arity = 0);\n      \n      Opal.def(self, '$restore_attributes', TMP_Document_restore_attributes_41 = function $$restore_attributes() {\n        var self = this;\n\n        \n        if ($truthy(self.parent_document)) {\n        } else {\n          self.callouts.$rewind()\n        };\n        return (self.attributes = self.header_attributes);\n      }, TMP_Document_restore_attributes_41.$$arity = 0);\n      \n      Opal.def(self, '$clear_playback_attributes', TMP_Document_clear_playback_attributes_42 = function $$clear_playback_attributes(attributes) {\n        var self = this;\n\n        return attributes.$delete(\"attribute_entries\")\n      }, TMP_Document_clear_playback_attributes_42.$$arity = 1);\n      \n      Opal.def(self, '$playback_attributes', TMP_Document_playback_attributes_44 = function $$playback_attributes(block_attributes) {\n        var TMP_43, self = this;\n\n        if ($truthy(block_attributes['$key?'](\"attribute_entries\"))) {\n          return $send(block_attributes['$[]'](\"attribute_entries\"), 'each', [], (TMP_43 = function(entry){var self = TMP_43.$$s || this, name = nil, $writer = nil;\n            if (self.attributes == null) self.attributes = nil;\nif (entry == null) entry = nil;\n          \n            name = entry.$name();\n            if ($truthy(entry.$negate())) {\n              \n              self.attributes.$delete(name);\n              if (name['$=='](\"compat-mode\")) {\n                return (self.compat_mode = false)\n              } else {\n                return nil\n              };\n            } else {\n              \n              \n              $writer = [name, entry.$value()];\n              $send(self.attributes, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;\n              if (name['$=='](\"compat-mode\")) {\n                return (self.compat_mode = true)\n              } else {\n                return nil\n              };\n            };}, TMP_43.$$s = self, TMP_43.$$arity = 1, TMP_43))\n        } else {\n          return nil\n        }\n      }, TMP_Document_playback_attributes_44.$$arity = 1);\n      \n      Opal.def(self, '$set_attribute', TMP_Document_set_attribute_45 = function $$set_attribute(name, value) {\n        var self = this, resolved_value = nil, $case = nil, $writer = nil;\n\n        if (value == null) {\n          value = \"\";\n        }\n        if ($truthy(self['$attribute_locked?'](name))) {\n          return false\n        } else {\n          \n          if ($truthy(self.max_attribute_value_size)) {\n            resolved_value = self.$apply_attribute_value_subs(value).$limit_bytesize(self.max_attribute_value_size)\n          } else {\n            resolved_value = self.$apply_attribute_value_subs(value)\n          };\n          $case = name;\n          if (\"backend\"['$===']($case)) {self.$update_backend_attributes(resolved_value, self.attributes_modified['$delete?'](\"htmlsyntax\"))}\n          else if (\"doctype\"['$===']($case)) {self.$update_doctype_attributes(resolved_value)}\n          else {\n          $writer = [name, resolved_value];\n          $send(self.attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];};\n          self.attributes_modified['$<<'](name);\n          return resolved_value;\n        }\n      }, TMP_Document_set_attribute_45.$$arity = -2);\n      \n      Opal.def(self, '$delete_attribute', TMP_Document_delete_attribute_46 = function $$delete_attribute(name) {\n        var self = this;\n\n        if ($truthy(self['$attribute_locked?'](name))) {\n          return false\n        } else {\n          \n          self.attributes.$delete(name);\n          self.attributes_modified['$<<'](name);\n          return true;\n        }\n      }, TMP_Document_delete_attribute_46.$$arity = 1);\n      \n      Opal.def(self, '$attribute_locked?', TMP_Document_attribute_locked$q_47 = function(name) {\n        var self = this;\n\n        return self.attribute_overrides['$key?'](name)\n      }, TMP_Document_attribute_locked$q_47.$$arity = 1);\n      \n      Opal.def(self, '$apply_attribute_value_subs', TMP_Document_apply_attribute_value_subs_48 = function $$apply_attribute_value_subs(value) {\n        var $a, self = this;\n\n        if ($truthy($$($nesting, 'AttributeEntryPassMacroRx')['$=~'](value))) {\n          if ($truthy((($a = $gvars['~']) === nil ? nil : $a['$[]'](1)))) {\n            \n            return self.$apply_subs((($a = $gvars['~']) === nil ? nil : $a['$[]'](2)), self.$resolve_pass_subs((($a = $gvars['~']) === nil ? nil : $a['$[]'](1))));\n          } else {\n            return (($a = $gvars['~']) === nil ? nil : $a['$[]'](2))\n          }\n        } else {\n          return self.$apply_header_subs(value)\n        }\n      }, TMP_Document_apply_attribute_value_subs_48.$$arity = 1);\n      \n      Opal.def(self, '$update_backend_attributes', TMP_Document_update_backend_attributes_49 = function $$update_backend_attributes(new_backend, force) {\n        var $a, $b, self = this, attrs = nil, current_backend = nil, current_basebackend = nil, current_doctype = nil, $writer = nil, resolved_backend = nil, new_basebackend = nil, new_filetype = nil, new_outfilesuffix = nil, current_filetype = nil, page_width = nil;\n\n        if (force == null) {\n          force = nil;\n        }\n        if ($truthy(($truthy($a = force) ? $a : ($truthy($b = new_backend) ? new_backend['$!='](self.backend) : $b)))) {\n          \n          $a = [self.backend, (attrs = self.attributes)['$[]'](\"basebackend\"), self.doctype], (current_backend = $a[0]), (current_basebackend = $a[1]), (current_doctype = $a[2]), $a;\n          if ($truthy(new_backend['$start_with?'](\"xhtml\"))) {\n            \n            \n            $writer = [\"htmlsyntax\", \"xml\"];\n            $send(attrs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            new_backend = new_backend['$[]']($range(1, -1, false));\n          } else if ($truthy(new_backend['$start_with?'](\"html\"))) {\n            if (attrs['$[]'](\"htmlsyntax\")['$=='](\"xml\")) {\n            } else {\n              \n              $writer = [\"htmlsyntax\", \"html\"];\n              $send(attrs, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];\n            }};\n          if ($truthy((resolved_backend = $$($nesting, 'BACKEND_ALIASES')['$[]'](new_backend)))) {\n            new_backend = resolved_backend};\n          if ($truthy(current_doctype)) {\n            \n            if ($truthy(current_backend)) {\n              \n              attrs.$delete(\"\" + \"backend-\" + (current_backend));\n              attrs.$delete(\"\" + \"backend-\" + (current_backend) + \"-doctype-\" + (current_doctype));};\n            \n            $writer = [\"\" + \"backend-\" + (new_backend) + \"-doctype-\" + (current_doctype), \"\"];\n            $send(attrs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            \n            $writer = [\"\" + \"doctype-\" + (current_doctype), \"\"];\n            $send(attrs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n          } else if ($truthy(current_backend)) {\n            attrs.$delete(\"\" + \"backend-\" + (current_backend))};\n          \n          $writer = [\"\" + \"backend-\" + (new_backend), \"\"];\n          $send(attrs, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          self.backend = (($writer = [\"backend\", new_backend]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]);\n          if ($truthy($$$($$($nesting, 'Converter'), 'BackendInfo')['$===']((self.converter = self.$create_converter())))) {\n            \n            new_basebackend = self.converter.$basebackend();\n            if ($truthy(self['$attribute_locked?'](\"outfilesuffix\"))) {\n            } else {\n              \n              $writer = [\"outfilesuffix\", self.converter.$outfilesuffix()];\n              $send(attrs, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];\n            };\n            new_filetype = self.converter.$filetype();\n          } else if ($truthy(self.converter)) {\n            \n            new_basebackend = new_backend.$sub($$($nesting, 'TrailingDigitsRx'), \"\");\n            if ($truthy((new_outfilesuffix = $$($nesting, 'DEFAULT_EXTENSIONS')['$[]'](new_basebackend)))) {\n              new_filetype = new_outfilesuffix['$[]']($range(1, -1, false))\n            } else {\n              $a = [\".html\", \"html\", \"html\"], (new_outfilesuffix = $a[0]), (new_basebackend = $a[1]), (new_filetype = $a[2]), $a\n            };\n            if ($truthy(self['$attribute_locked?'](\"outfilesuffix\"))) {\n            } else {\n              \n              $writer = [\"outfilesuffix\", new_outfilesuffix];\n              $send(attrs, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];\n            };\n          } else {\n            self.$raise($$$('::', 'NotImplementedError'), \"\" + \"asciidoctor: FAILED: missing converter for backend '\" + (new_backend) + \"'. Processing aborted.\")\n          };\n          if ($truthy((current_filetype = attrs['$[]'](\"filetype\")))) {\n            attrs.$delete(\"\" + \"filetype-\" + (current_filetype))};\n          \n          $writer = [\"filetype\", new_filetype];\n          $send(attrs, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [\"\" + \"filetype-\" + (new_filetype), \"\"];\n          $send(attrs, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          if ($truthy((page_width = $$($nesting, 'DEFAULT_PAGE_WIDTHS')['$[]'](new_basebackend)))) {\n            \n            $writer = [\"pagewidth\", page_width];\n            $send(attrs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];\n          } else {\n            attrs.$delete(\"pagewidth\")\n          };\n          if ($truthy(new_basebackend['$!='](current_basebackend))) {\n            \n            if ($truthy(current_doctype)) {\n              \n              if ($truthy(current_basebackend)) {\n                \n                attrs.$delete(\"\" + \"basebackend-\" + (current_basebackend));\n                attrs.$delete(\"\" + \"basebackend-\" + (current_basebackend) + \"-doctype-\" + (current_doctype));};\n              \n              $writer = [\"\" + \"basebackend-\" + (new_basebackend) + \"-doctype-\" + (current_doctype), \"\"];\n              $send(attrs, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;\n            } else if ($truthy(current_basebackend)) {\n              attrs.$delete(\"\" + \"basebackend-\" + (current_basebackend))};\n            \n            $writer = [\"\" + \"basebackend-\" + (new_basebackend), \"\"];\n            $send(attrs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            \n            $writer = [\"basebackend\", new_basebackend];\n            $send(attrs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;};\n          return new_backend;\n        } else {\n          return nil\n        }\n      }, TMP_Document_update_backend_attributes_49.$$arity = -2);\n      \n      Opal.def(self, '$update_doctype_attributes', TMP_Document_update_doctype_attributes_50 = function $$update_doctype_attributes(new_doctype) {\n        var $a, self = this, attrs = nil, current_backend = nil, current_basebackend = nil, current_doctype = nil, $writer = nil;\n\n        if ($truthy(($truthy($a = new_doctype) ? new_doctype['$!='](self.doctype) : $a))) {\n          \n          $a = [self.backend, (attrs = self.attributes)['$[]'](\"basebackend\"), self.doctype], (current_backend = $a[0]), (current_basebackend = $a[1]), (current_doctype = $a[2]), $a;\n          if ($truthy(current_doctype)) {\n            \n            attrs.$delete(\"\" + \"doctype-\" + (current_doctype));\n            if ($truthy(current_backend)) {\n              \n              attrs.$delete(\"\" + \"backend-\" + (current_backend) + \"-doctype-\" + (current_doctype));\n              \n              $writer = [\"\" + \"backend-\" + (current_backend) + \"-doctype-\" + (new_doctype), \"\"];\n              $send(attrs, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;};\n            if ($truthy(current_basebackend)) {\n              \n              attrs.$delete(\"\" + \"basebackend-\" + (current_basebackend) + \"-doctype-\" + (current_doctype));\n              \n              $writer = [\"\" + \"basebackend-\" + (current_basebackend) + \"-doctype-\" + (new_doctype), \"\"];\n              $send(attrs, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;};\n          } else {\n            \n            if ($truthy(current_backend)) {\n              \n              $writer = [\"\" + \"backend-\" + (current_backend) + \"-doctype-\" + (new_doctype), \"\"];\n              $send(attrs, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];};\n            if ($truthy(current_basebackend)) {\n              \n              $writer = [\"\" + \"basebackend-\" + (current_basebackend) + \"-doctype-\" + (new_doctype), \"\"];\n              $send(attrs, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];};\n          };\n          \n          $writer = [\"\" + \"doctype-\" + (new_doctype), \"\"];\n          $send(attrs, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          return (self.doctype = (($writer = [\"doctype\", new_doctype]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n        } else {\n          return nil\n        }\n      }, TMP_Document_update_doctype_attributes_50.$$arity = 1);\n      \n      Opal.def(self, '$create_converter', TMP_Document_create_converter_51 = function $$create_converter() {\n        var self = this, converter_opts = nil, $writer = nil, template_dirs = nil, template_dir = nil, converter = nil, converter_factory = nil;\n\n        \n        converter_opts = $hash2([], {});\n        \n        $writer = [\"htmlsyntax\", self.attributes['$[]'](\"htmlsyntax\")];\n        $send(converter_opts, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        template_dirs = (function() {if ($truthy((template_dir = self.options['$[]'](\"template_dir\")))) {\n          \n          $writer = [\"template_dirs\", [template_dir]];\n          $send(converter_opts, '[]=', Opal.to_a($writer));\n          return $writer[$rb_minus($writer[\"length\"], 1)];\n        } else if ($truthy((template_dirs = self.options['$[]'](\"template_dirs\")))) {\n          \n          $writer = [\"template_dirs\", template_dirs];\n          $send(converter_opts, '[]=', Opal.to_a($writer));\n          return $writer[$rb_minus($writer[\"length\"], 1)];\n        } else {\n          return nil\n        }; return nil; })();\n        if ($truthy(template_dirs)) {\n          \n          \n          $writer = [\"template_cache\", self.options.$fetch(\"template_cache\", true)];\n          $send(converter_opts, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [\"template_engine\", self.options['$[]'](\"template_engine\")];\n          $send(converter_opts, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [\"template_engine_options\", self.options['$[]'](\"template_engine_options\")];\n          $send(converter_opts, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [\"eruby\", self.options['$[]'](\"eruby\")];\n          $send(converter_opts, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [\"safe\", self.safe];\n          $send(converter_opts, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;};\n        if ($truthy((converter = self.options['$[]'](\"converter\")))) {\n          converter_factory = $$$($$($nesting, 'Converter'), 'Factory').$new($$$('::', 'Hash')['$[]'](self.$backend(), converter))\n        } else {\n          converter_factory = $$$($$($nesting, 'Converter'), 'Factory').$default(false)\n        };\n        return converter_factory.$create(self.$backend(), converter_opts);\n      }, TMP_Document_create_converter_51.$$arity = 0);\n      \n      Opal.def(self, '$convert', TMP_Document_convert_53 = function $$convert(opts) {\n        var $a, TMP_52, self = this, $writer = nil, block = nil, output = nil, transform = nil, exts = nil;\n\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        \n        if ($truthy(self.parsed)) {\n        } else {\n          self.$parse()\n        };\n        if ($truthy(($truthy($a = $rb_ge(self.safe, $$$($$($nesting, 'SafeMode'), 'SERVER'))) ? $a : opts['$empty?']()))) {\n        } else {\n          \n          if ($truthy((($writer = [\"outfile\", opts['$[]'](\"outfile\")]), $send(self.attributes, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))) {\n          } else {\n            self.attributes.$delete(\"outfile\")\n          };\n          if ($truthy((($writer = [\"outdir\", opts['$[]'](\"outdir\")]), $send(self.attributes, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))) {\n          } else {\n            self.attributes.$delete(\"outdir\")\n          };\n        };\n        if (self.$doctype()['$=='](\"inline\")) {\n          if ($truthy((block = self.blocks['$[]'](0)))) {\n            if ($truthy(($truthy($a = block.$content_model()['$=='](\"compound\")) ? $a : block.$content_model()['$=='](\"empty\")))) {\n              self.$warn(\"asciidoctor: WARNING: no inline candidate; use the inline doctype to convert a single paragragh, verbatim, or raw block\")\n            } else {\n              output = block.$content()\n            }}\n        } else {\n          \n          transform = (function() {if ($truthy((function() {if ($truthy(opts['$key?'](\"header_footer\"))) {\n            return opts['$[]'](\"header_footer\")\n          } else {\n            return self.options['$[]'](\"header_footer\")\n          }; return nil; })())) {\n            return \"document\"\n          } else {\n            return \"embedded\"\n          }; return nil; })();\n          output = self.converter.$convert(self, transform);\n        };\n        if ($truthy(self.parent_document)) {\n        } else if ($truthy(($truthy($a = (exts = self.extensions)) ? exts['$postprocessors?']() : $a))) {\n          $send(exts.$postprocessors(), 'each', [], (TMP_52 = function(ext){var self = TMP_52.$$s || this;\nif (ext == null) ext = nil;\n          return (output = ext.$process_method()['$[]'](self, output))}, TMP_52.$$s = self, TMP_52.$$arity = 1, TMP_52))};\n        return output;\n      }, TMP_Document_convert_53.$$arity = -1);\n      Opal.alias(self, \"render\", \"convert\");\n      \n      Opal.def(self, '$write', TMP_Document_write_54 = function $$write(output, target) {\n        var self = this;\n\n        if ($truthy($$($nesting, 'Writer')['$==='](self.converter))) {\n          return self.converter.$write(output, target)\n        } else {\n          \n          if ($truthy(target['$respond_to?'](\"write\"))) {\n            if ($truthy(output['$nil_or_empty?']())) {\n            } else {\n              \n              target.$write(output.$chomp());\n              target.$write($$($nesting, 'LF'));\n            }\n          } else {\n            $$$('::', 'IO').$write(target, output)\n          };\n          return nil;\n        }\n      }, TMP_Document_write_54.$$arity = 2);\n      \n      Opal.def(self, '$content', TMP_Document_content_55 = function $$content() {\n        var self = this, $iter = TMP_Document_content_55.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n        if ($iter) TMP_Document_content_55.$$p = null;\n        // Prepare super implicit arguments\n        for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n          $zuper[$zuper_i] = arguments[$zuper_i];\n        }\n        \n        self.attributes.$delete(\"title\");\n        return $send(self, Opal.find_super_dispatcher(self, 'content', TMP_Document_content_55, false), $zuper, $iter);\n      }, TMP_Document_content_55.$$arity = 0);\n      \n      Opal.def(self, '$docinfo', TMP_Document_docinfo_58 = function $$docinfo(location, suffix) {\n        var TMP_56, $a, TMP_57, self = this, content = nil, qualifier = nil, docinfo = nil, docinfo_file = nil, docinfo_dir = nil, docinfo_subs = nil, docinfo_path = nil, shd_content = nil, pvt_content = nil;\n\n        if (location == null) {\n          location = \"head\";\n        }\n        if (suffix == null) {\n          suffix = nil;\n        }\n        if ($truthy($rb_ge(self.$safe(), $$$($$($nesting, 'SafeMode'), 'SECURE')))) {\n          return \"\"\n        } else {\n          \n          content = [];\n          if (location['$=='](\"head\")) {\n          } else {\n            qualifier = \"\" + \"-\" + (location)\n          };\n          if ($truthy(suffix)) {\n          } else {\n            suffix = self.outfilesuffix\n          };\n          if ($truthy((docinfo = self.attributes['$[]'](\"docinfo\"))['$nil_or_empty?']())) {\n            if ($truthy(self.attributes['$key?'](\"docinfo2\"))) {\n              docinfo = [\"private\", \"shared\"]\n            } else if ($truthy(self.attributes['$key?'](\"docinfo1\"))) {\n              docinfo = [\"shared\"]\n            } else {\n              docinfo = (function() {if ($truthy(docinfo)) {\n                return [\"private\"]\n              } else {\n                return nil\n              }; return nil; })()\n            }\n          } else {\n            docinfo = $send(docinfo.$split(\",\"), 'map', [], (TMP_56 = function(it){var self = TMP_56.$$s || this;\nif (it == null) it = nil;\n            return it.$strip()}, TMP_56.$$s = self, TMP_56.$$arity = 1, TMP_56))\n          };\n          if ($truthy(docinfo)) {\n            \n            $a = [\"\" + \"docinfo\" + (qualifier) + (suffix), self.attributes['$[]'](\"docinfodir\"), self.$resolve_docinfo_subs()], (docinfo_file = $a[0]), (docinfo_dir = $a[1]), (docinfo_subs = $a[2]), $a;\n            if ($truthy(docinfo['$&']([\"shared\", \"\" + \"shared-\" + (location)])['$empty?']())) {\n            } else {\n              \n              docinfo_path = self.$normalize_system_path(docinfo_file, docinfo_dir);\n              if ($truthy((shd_content = self.$read_asset(docinfo_path, $hash2([\"normalize\"], {\"normalize\": true}))))) {\n                content['$<<'](self.$apply_subs(shd_content, docinfo_subs))};\n            };\n            if ($truthy(($truthy($a = self.attributes['$[]'](\"docname\")['$nil_or_empty?']()) ? $a : docinfo['$&']([\"private\", \"\" + \"private-\" + (location)])['$empty?']()))) {\n            } else {\n              \n              docinfo_path = self.$normalize_system_path(\"\" + (self.attributes['$[]'](\"docname\")) + \"-\" + (docinfo_file), docinfo_dir);\n              if ($truthy((pvt_content = self.$read_asset(docinfo_path, $hash2([\"normalize\"], {\"normalize\": true}))))) {\n                content['$<<'](self.$apply_subs(pvt_content, docinfo_subs))};\n            };};\n          if ($truthy(($truthy($a = self.extensions) ? self['$docinfo_processors?'](location) : $a))) {\n            content = $rb_plus(content, $send(self.docinfo_processor_extensions['$[]'](location), 'map', [], (TMP_57 = function(ext){var self = TMP_57.$$s || this;\nif (ext == null) ext = nil;\n            return ext.$process_method()['$[]'](self)}, TMP_57.$$s = self, TMP_57.$$arity = 1, TMP_57)).$compact())};\n          return $rb_times(content, $$($nesting, 'LF'));\n        }\n      }, TMP_Document_docinfo_58.$$arity = -1);\n      \n      Opal.def(self, '$resolve_docinfo_subs', TMP_Document_resolve_docinfo_subs_59 = function $$resolve_docinfo_subs() {\n        var self = this;\n\n        if ($truthy(self.attributes['$key?'](\"docinfosubs\"))) {\n          \n          return self.$resolve_subs(self.attributes['$[]'](\"docinfosubs\"), \"block\", nil, \"docinfo\");\n        } else {\n          return [\"attributes\"]\n        }\n      }, TMP_Document_resolve_docinfo_subs_59.$$arity = 0);\n      \n      Opal.def(self, '$docinfo_processors?', TMP_Document_docinfo_processors$q_60 = function(location) {\n        var $a, self = this, $writer = nil;\n\n        if (location == null) {\n          location = \"head\";\n        }\n        if ($truthy(self.docinfo_processor_extensions['$key?'](location))) {\n          return self.docinfo_processor_extensions['$[]'](location)['$!='](false)\n        } else if ($truthy(($truthy($a = self.extensions) ? self.document.$extensions()['$docinfo_processors?'](location) : $a))) {\n          return (($writer = [location, self.document.$extensions().$docinfo_processors(location)]), $send(self.docinfo_processor_extensions, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])['$!']()['$!']()\n        } else {\n          \n          $writer = [location, false];\n          $send(self.docinfo_processor_extensions, '[]=', Opal.to_a($writer));\n          return $writer[$rb_minus($writer[\"length\"], 1)];\n        }\n      }, TMP_Document_docinfo_processors$q_60.$$arity = -1);\n      return (Opal.def(self, '$to_s', TMP_Document_to_s_61 = function $$to_s() {\n        var self = this;\n\n        return \"\" + \"#<\" + (self.$class()) + \"@\" + (self.$object_id()) + \" {doctype: \" + (self.$doctype().$inspect()) + \", doctitle: \" + ((function() {if ($truthy(self.header['$!='](nil))) {\n          return self.header.$title()\n        } else {\n          return nil\n        }; return nil; })().$inspect()) + \", blocks: \" + (self.blocks.$size()) + \"}>\"\n      }, TMP_Document_to_s_61.$$arity = 0), nil) && 'to_s';\n    })($nesting[0], $$($nesting, 'AbstractBlock'), $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/inline\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $send = Opal.send, $truthy = Opal.truthy, $hash2 = Opal.hash2;\n\n  Opal.add_stubs(['$attr_reader', '$attr_accessor', '$[]', '$nil_or_empty?', '$update_attributes', '$convert', '$converter', '$attr', '$==', '$apply_reftext_subs', '$reftext']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $Inline(){};\n      var self = $Inline = $klass($base, $super, 'Inline', $Inline);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Inline_initialize_1, TMP_Inline_block$q_2, TMP_Inline_inline$q_3, TMP_Inline_convert_4, TMP_Inline_alt_5, TMP_Inline_reftext$q_6, TMP_Inline_reftext_7, TMP_Inline_xreftext_8;\n\n      def.text = def.type = nil;\n      \n      self.$attr_reader(\"text\");\n      self.$attr_reader(\"type\");\n      self.$attr_accessor(\"target\");\n      \n      Opal.def(self, '$initialize', TMP_Inline_initialize_1 = function $$initialize(parent, context, text, opts) {\n        var self = this, $iter = TMP_Inline_initialize_1.$$p, $yield = $iter || nil, more_attributes = nil;\n\n        if (text == null) {\n          text = nil;\n        }\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        if ($iter) TMP_Inline_initialize_1.$$p = null;\n        \n        $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_Inline_initialize_1, false), [parent, context], null);\n        self.node_name = \"\" + \"inline_\" + (context);\n        self.text = text;\n        self.id = opts['$[]'](\"id\");\n        self.type = opts['$[]'](\"type\");\n        self.target = opts['$[]'](\"target\");\n        if ($truthy((more_attributes = opts['$[]'](\"attributes\"))['$nil_or_empty?']())) {\n          return nil\n        } else {\n          return self.$update_attributes(more_attributes)\n        };\n      }, TMP_Inline_initialize_1.$$arity = -3);\n      \n      Opal.def(self, '$block?', TMP_Inline_block$q_2 = function() {\n        var self = this;\n\n        return false\n      }, TMP_Inline_block$q_2.$$arity = 0);\n      \n      Opal.def(self, '$inline?', TMP_Inline_inline$q_3 = function() {\n        var self = this;\n\n        return true\n      }, TMP_Inline_inline$q_3.$$arity = 0);\n      \n      Opal.def(self, '$convert', TMP_Inline_convert_4 = function $$convert() {\n        var self = this;\n\n        return self.$converter().$convert(self)\n      }, TMP_Inline_convert_4.$$arity = 0);\n      Opal.alias(self, \"render\", \"convert\");\n      \n      Opal.def(self, '$alt', TMP_Inline_alt_5 = function $$alt() {\n        var self = this;\n\n        return self.$attr(\"alt\")\n      }, TMP_Inline_alt_5.$$arity = 0);\n      \n      Opal.def(self, '$reftext?', TMP_Inline_reftext$q_6 = function() {\n        var $a, $b, self = this;\n\n        return ($truthy($a = self.text) ? ($truthy($b = self.type['$=='](\"ref\")) ? $b : self.type['$=='](\"bibref\")) : $a)\n      }, TMP_Inline_reftext$q_6.$$arity = 0);\n      \n      Opal.def(self, '$reftext', TMP_Inline_reftext_7 = function $$reftext() {\n        var self = this, val = nil;\n\n        if ($truthy((val = self.text))) {\n          \n          return self.$apply_reftext_subs(val);\n        } else {\n          return nil\n        }\n      }, TMP_Inline_reftext_7.$$arity = 0);\n      return (Opal.def(self, '$xreftext', TMP_Inline_xreftext_8 = function $$xreftext(xrefstyle) {\n        var self = this;\n\n        if (xrefstyle == null) {\n          xrefstyle = nil;\n        }\n        return self.$reftext()\n      }, TMP_Inline_xreftext_8.$$arity = -1), nil) && 'xreftext';\n    })($nesting[0], $$($nesting, 'AbstractNode'), $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/list\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $send = Opal.send, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$==', '$next_list', '$callouts', '$class', '$object_id', '$inspect', '$size', '$items', '$attr_accessor', '$level', '$dup', '$!', '$nil_or_empty?', '$apply_subs', '$empty?', '$===', '$[]', '$outline?', '$simple?', '$context', '$option?', '$shift', '$blocks', '$unshift', '$lines', '$source', '$parent']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    \n    (function($base, $super, $parent_nesting) {\n      function $List(){};\n      var self = $List = $klass($base, $super, 'List', $List);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_List_initialize_1, TMP_List_outline$q_2, TMP_List_convert_3, TMP_List_to_s_4;\n\n      def.context = def.document = def.style = nil;\n      \n      Opal.alias(self, \"items\", \"blocks\");\n      Opal.alias(self, \"content\", \"blocks\");\n      Opal.alias(self, \"items?\", \"blocks?\");\n      \n      Opal.def(self, '$initialize', TMP_List_initialize_1 = function $$initialize(parent, context) {\n        var self = this, $iter = TMP_List_initialize_1.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n        if ($iter) TMP_List_initialize_1.$$p = null;\n        // Prepare super implicit arguments\n        for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n          $zuper[$zuper_i] = arguments[$zuper_i];\n        }\n        return $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_List_initialize_1, false), $zuper, $iter)\n      }, TMP_List_initialize_1.$$arity = 2);\n      \n      Opal.def(self, '$outline?', TMP_List_outline$q_2 = function() {\n        var $a, self = this;\n\n        return ($truthy($a = self.context['$=='](\"ulist\")) ? $a : self.context['$=='](\"olist\"))\n      }, TMP_List_outline$q_2.$$arity = 0);\n      \n      Opal.def(self, '$convert', TMP_List_convert_3 = function $$convert() {\n        var self = this, $iter = TMP_List_convert_3.$$p, $yield = $iter || nil, result = nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n        if ($iter) TMP_List_convert_3.$$p = null;\n        // Prepare super implicit arguments\n        for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n          $zuper[$zuper_i] = arguments[$zuper_i];\n        }\n        if (self.context['$=='](\"colist\")) {\n          \n          result = $send(self, Opal.find_super_dispatcher(self, 'convert', TMP_List_convert_3, false), $zuper, $iter);\n          self.document.$callouts().$next_list();\n          return result;\n        } else {\n          return $send(self, Opal.find_super_dispatcher(self, 'convert', TMP_List_convert_3, false), $zuper, $iter)\n        }\n      }, TMP_List_convert_3.$$arity = 0);\n      Opal.alias(self, \"render\", \"convert\");\n      return (Opal.def(self, '$to_s', TMP_List_to_s_4 = function $$to_s() {\n        var self = this;\n\n        return \"\" + \"#<\" + (self.$class()) + \"@\" + (self.$object_id()) + \" {context: \" + (self.context.$inspect()) + \", style: \" + (self.style.$inspect()) + \", items: \" + (self.$items().$size()) + \"}>\"\n      }, TMP_List_to_s_4.$$arity = 0), nil) && 'to_s';\n    })($nesting[0], $$($nesting, 'AbstractBlock'), $nesting);\n    (function($base, $super, $parent_nesting) {\n      function $ListItem(){};\n      var self = $ListItem = $klass($base, $super, 'ListItem', $ListItem);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_ListItem_initialize_5, TMP_ListItem_text$q_6, TMP_ListItem_text_7, TMP_ListItem_text$eq_8, TMP_ListItem_simple$q_9, TMP_ListItem_compound$q_10, TMP_ListItem_fold_first_11, TMP_ListItem_to_s_12;\n\n      def.text = def.subs = def.blocks = nil;\n      \n      Opal.alias(self, \"list\", \"parent\");\n      self.$attr_accessor(\"marker\");\n      \n      Opal.def(self, '$initialize', TMP_ListItem_initialize_5 = function $$initialize(parent, text) {\n        var self = this, $iter = TMP_ListItem_initialize_5.$$p, $yield = $iter || nil;\n\n        if (text == null) {\n          text = nil;\n        }\n        if ($iter) TMP_ListItem_initialize_5.$$p = null;\n        \n        $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_ListItem_initialize_5, false), [parent, \"list_item\"], null);\n        self.text = text;\n        self.level = parent.$level();\n        return (self.subs = $$($nesting, 'NORMAL_SUBS').$dup());\n      }, TMP_ListItem_initialize_5.$$arity = -2);\n      \n      Opal.def(self, '$text?', TMP_ListItem_text$q_6 = function() {\n        var self = this;\n\n        return self.text['$nil_or_empty?']()['$!']()\n      }, TMP_ListItem_text$q_6.$$arity = 0);\n      \n      Opal.def(self, '$text', TMP_ListItem_text_7 = function $$text() {\n        var self = this;\n\n        return self.$apply_subs(self.text, self.subs)\n      }, TMP_ListItem_text_7.$$arity = 0);\n      \n      Opal.def(self, '$text=', TMP_ListItem_text$eq_8 = function(val) {\n        var self = this;\n\n        return (self.text = val)\n      }, TMP_ListItem_text$eq_8.$$arity = 1);\n      \n      Opal.def(self, '$simple?', TMP_ListItem_simple$q_9 = function() {\n        var $a, $b, $c, self = this, blk = nil;\n\n        return ($truthy($a = self.blocks['$empty?']()) ? $a : ($truthy($b = (($c = self.blocks.$size()['$=='](1)) ? $$($nesting, 'List')['$===']((blk = self.blocks['$[]'](0))) : self.blocks.$size()['$=='](1))) ? blk['$outline?']() : $b))\n      }, TMP_ListItem_simple$q_9.$$arity = 0);\n      \n      Opal.def(self, '$compound?', TMP_ListItem_compound$q_10 = function() {\n        var self = this;\n\n        return self['$simple?']()['$!']()\n      }, TMP_ListItem_compound$q_10.$$arity = 0);\n      \n      Opal.def(self, '$fold_first', TMP_ListItem_fold_first_11 = function $$fold_first(continuation_connects_first_block, content_adjacent) {\n        var $a, $b, $c, $d, $e, self = this, first_block = nil, block = nil;\n\n        if (continuation_connects_first_block == null) {\n          continuation_connects_first_block = false;\n        }\n        if (content_adjacent == null) {\n          content_adjacent = false;\n        }\n        \n        if ($truthy(($truthy($a = ($truthy($b = (first_block = self.blocks['$[]'](0))) ? $$($nesting, 'Block')['$==='](first_block) : $b)) ? ($truthy($b = (($c = first_block.$context()['$=='](\"paragraph\")) ? continuation_connects_first_block['$!']() : first_block.$context()['$=='](\"paragraph\"))) ? $b : ($truthy($c = ($truthy($d = ($truthy($e = content_adjacent) ? $e : continuation_connects_first_block['$!']())) ? first_block.$context()['$=='](\"literal\") : $d)) ? first_block['$option?'](\"listparagraph\") : $c)) : $a))) {\n          \n          block = self.$blocks().$shift();\n          if ($truthy(self.text['$nil_or_empty?']())) {\n          } else {\n            block.$lines().$unshift(self.text)\n          };\n          self.text = block.$source();};\n        return nil;\n      }, TMP_ListItem_fold_first_11.$$arity = -1);\n      return (Opal.def(self, '$to_s', TMP_ListItem_to_s_12 = function $$to_s() {\n        var $a, self = this;\n\n        return \"\" + \"#<\" + (self.$class()) + \"@\" + (self.$object_id()) + \" {list_context: \" + (self.$parent().$context().$inspect()) + \", text: \" + (self.text.$inspect()) + \", blocks: \" + (($truthy($a = self.blocks) ? $a : []).$size()) + \"}>\"\n      }, TMP_ListItem_to_s_12.$$arity = 0), nil) && 'to_s';\n    })($nesting[0], $$($nesting, 'AbstractBlock'), $nesting);\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/parser\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  function $rb_le(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs <= rhs : lhs['$<='](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $send = Opal.send, $truthy = Opal.truthy, $hash2 = Opal.hash2, $hash = Opal.hash, $gvars = Opal.gvars, $range = Opal.range;\n\n  Opal.add_stubs(['$new', '$lambda', '$start_with?', '$match?', '$is_delimited_block?', '$raise', '$parse_document_header', '$[]', '$has_more_lines?', '$next_section', '$<<', '$parse_block_metadata_lines', '$is_next_line_doctitle?', '$attributes', '$key?', '$finalize_header', '$nil_or_empty?', '$title=', '$-', '$sourcemap', '$cursor', '$parse_section_title', '$id=', '$attribute_locked?', '$set_attr', '$delete', '$source_location=', '$header', '$[]=', '$id', '$parse_style_attribute', '$parse_header_metadata', '$==', '$doctype', '$parse_manpage_header', '$=~', '$sub_attributes', '$downcase', '$warn', '$prev_line_info', '$skip_blank_lines', '$is_next_line_section?', '$initialize_section', '$level', '$*', '$read_lines_until', '$match', '$backend', '$context', '$empty?', '$blocks', '$has_header?', '$!', '$!=', '$attr?', '$attr', '$document', '$sectname', '$+', '$to_i', '$>', '$line_info', '$include?', '$size', '$next_block', '$blocks?', '$style', '$context=', '$style=', '$parent=', '$content_model', '$shift', '$unwrap_standalone_preamble', '$dup', '$fetch', '$parse_block_metadata_line', '$extensions', '$block_macros?', '$path', '$lineno', '$read_line', '$===', '$terminator', '$to_s', '$masq', '$to_sym', '$registered_for_block?', '$strict_verbatim_paragraphs', '$unshift_line', '$markdown_syntax', '$lstrip', '$keys', '$chr', '$length', '$end_with?', '$parse_attributes', '$attribute_missing', '$clear', '$register', '$tr', '$basename', '$assign_caption', '$registered_for_block_macro?', '$config', '$update', '$process_method', '$replace', '$peek_line', '$next_list_item', '$callout_ids', '$callouts', '$items', '$next_list', '$next_item_list', '$each', '$catalog_inline_biblio_anchor', '$instance_variable_get', '$marker', '$find', '$next_description_list', '$underline_style_section_titles', '$is_section_title?', '$atx_section_title?', '$generate_id', '$title', '$level=', '$read_paragraph_lines', '$adjust_indentation!', '$set_option', '$map!', '$split', '$pop', '$build_block', '$chop', '$catalog_inline_anchors', '$rekey', '$index', '$slice', '$strip', '$<', '$next_table', '$concat', '$title?', '$lock_in_subs', '$sub?', '$catalog_callouts', '$source', '$remove_sub', '$block_terminates_paragraph', '$to_proc', '$<=', '$nil?', '$lines', '$parse_blocks', '$resolve_list_marker', '$items?', '$parent', '$scan', '$gsub', '$reader', '$marker=', '$read_lines_for_list_item', '$skip_line_comments', '$unshift_lines', '$fold_first', '$text?', '$is_sibling_list_item?', '$delete_at', '$casecmp', '$sectname=', '$special=', '$numbered=', '$special', '$numbered', '$update_attributes', '$peek_lines', '$setext_section_title?', '$abs', '$line_length', '$process_attribute_entries', '$next_line_empty?', '$process_authors', '$apply_header_subs', '$rstrip', '$each_with_index', '$map', '$compact', '$Array', '$squeeze', '$to_a', '$process_attribute_entry', '$skip_comment_lines', '$advance', '$store_attribute', '$sanitize_attribute_name', '$set_attribute', '$save_to', '$delete_attribute', '$resolve_ordered_list_marker', '$ord', '$roman_numeral_to_int', '$parse_colspecs', '$create_columns', '$format', '$starts_with_delimiter?', '$close_open_cell', '$parse_cellspec', '$delimiter', '$match_delimiter', '$buffer_has_unclosed_quotes?', '$pre_match', '$skip_past_delimiter', '$buffer', '$buffer=', '$skip_past_escaped_delimiter', '$keep_cell_open', '$push_cellspec', '$post_match', '$close_cell', '$cell_open?', '$columns', '$assign_column_widths', '$has_header_option=', '$partition_header_footer', '$upto', '$shorthand_property_syntax', '$join', '$each_char', '$call', '$sub!', '$gsub!', '$%', '$begin']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $Parser(){};\n      var self = $Parser = $klass($base, $super, 'Parser', $Parser);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Parser_1, TMP_Parser_2, TMP_Parser_3, TMP_Parser_initialize_4, TMP_Parser_parse_5, TMP_Parser_parse_document_header_6, TMP_Parser_parse_manpage_header_7, TMP_Parser_next_section_8, TMP_Parser_next_block_14, TMP_Parser_read_paragraph_lines_15, TMP_Parser_is_delimited_block$q_16, TMP_Parser_build_block_17, TMP_Parser_parse_blocks_18, TMP_Parser_next_item_list_19, TMP_Parser_catalog_callouts_21, TMP_Parser_catalog_inline_anchors_23, TMP_Parser_catalog_inline_biblio_anchor_24, TMP_Parser_next_description_list_25, TMP_Parser_next_list_item_26, TMP_Parser_read_lines_for_list_item_32, TMP_Parser_initialize_section_33, TMP_Parser_is_next_line_section$q_34, TMP_Parser_is_next_line_doctitle$q_35, TMP_Parser_is_section_title$q_36, TMP_Parser_atx_section_title$q_37, TMP_Parser_setext_section_title$q_38, TMP_Parser_parse_section_title_39, TMP_Parser_line_length_40, TMP_Parser_line_length_41, TMP_Parser_parse_header_metadata_46, TMP_Parser_process_authors_52, TMP_Parser_parse_block_metadata_lines_53, TMP_Parser_parse_block_metadata_line_54, TMP_Parser_process_attribute_entries_55, TMP_Parser_process_attribute_entry_56, TMP_Parser_store_attribute_57, TMP_Parser_resolve_list_marker_58, TMP_Parser_resolve_ordered_list_marker_60, TMP_Parser_is_sibling_list_item$q_61, TMP_Parser_next_table_62, TMP_Parser_parse_colspecs_66, TMP_Parser_parse_cellspec_67, TMP_Parser_parse_style_attribute_71, TMP_Parser_adjust_indentation$B_79, TMP_Parser_sanitize_attribute_name_80, TMP_Parser_roman_numeral_to_int_82;\n\n      \n      Opal.const_set($nesting[0], 'BlockMatchData', $$($nesting, 'Struct').$new(\"context\", \"masq\", \"tip\", \"terminator\"));\n      Opal.const_set($nesting[0], 'TabRx', /\\t/);\n      Opal.const_set($nesting[0], 'TabIndentRx', /^\\t+/);\n      Opal.const_set($nesting[0], 'StartOfBlockProc', $send(self, 'lambda', [], (TMP_Parser_1 = function(l){var self = TMP_Parser_1.$$s || this, $a, $b;\nif (l == null) l = nil;\n      return ($truthy($a = ($truthy($b = l['$start_with?'](\"[\")) ? $$($nesting, 'BlockAttributeLineRx')['$match?'](l) : $b)) ? $a : self['$is_delimited_block?'](l))}, TMP_Parser_1.$$s = self, TMP_Parser_1.$$arity = 1, TMP_Parser_1)));\n      Opal.const_set($nesting[0], 'StartOfListProc', $send(self, 'lambda', [], (TMP_Parser_2 = function(l){var self = TMP_Parser_2.$$s || this;\nif (l == null) l = nil;\n      return $$($nesting, 'AnyListRx')['$match?'](l)}, TMP_Parser_2.$$s = self, TMP_Parser_2.$$arity = 1, TMP_Parser_2)));\n      Opal.const_set($nesting[0], 'StartOfBlockOrListProc', $send(self, 'lambda', [], (TMP_Parser_3 = function(l){var self = TMP_Parser_3.$$s || this, $a, $b, $c;\nif (l == null) l = nil;\n      return ($truthy($a = ($truthy($b = self['$is_delimited_block?'](l)) ? $b : ($truthy($c = l['$start_with?'](\"[\")) ? $$($nesting, 'BlockAttributeLineRx')['$match?'](l) : $c))) ? $a : $$($nesting, 'AnyListRx')['$match?'](l))}, TMP_Parser_3.$$s = self, TMP_Parser_3.$$arity = 1, TMP_Parser_3)));\n      Opal.const_set($nesting[0], 'NoOp', nil);\n      Opal.const_set($nesting[0], 'TableCellHorzAlignments', $hash2([\"<\", \">\", \"^\"], {\"<\": \"left\", \">\": \"right\", \"^\": \"center\"}));\n      Opal.const_set($nesting[0], 'TableCellVertAlignments', $hash2([\"<\", \">\", \"^\"], {\"<\": \"top\", \">\": \"bottom\", \"^\": \"middle\"}));\n      Opal.const_set($nesting[0], 'TableCellStyles', $hash2([\"d\", \"s\", \"e\", \"m\", \"h\", \"l\", \"v\", \"a\"], {\"d\": \"none\", \"s\": \"strong\", \"e\": \"emphasis\", \"m\": \"monospaced\", \"h\": \"header\", \"l\": \"literal\", \"v\": \"verse\", \"a\": \"asciidoc\"}));\n      \n      Opal.def(self, '$initialize', TMP_Parser_initialize_4 = function $$initialize() {\n        var self = this;\n\n        return self.$raise(\"Au contraire, mon frere. No parser instances will be running around.\")\n      }, TMP_Parser_initialize_4.$$arity = 0);\n      Opal.defs(self, '$parse', TMP_Parser_parse_5 = function $$parse(reader, document, options) {\n        var $a, $b, $c, self = this, block_attributes = nil, new_section = nil;\n\n        if (options == null) {\n          options = $hash2([], {});\n        }\n        \n        block_attributes = self.$parse_document_header(reader, document);\n        if ($truthy(options['$[]'](\"header_only\"))) {\n        } else {\n          while ($truthy(reader['$has_more_lines?']())) {\n            \n            $c = self.$next_section(reader, document, block_attributes), $b = Opal.to_ary($c), (new_section = ($b[0] == null ? nil : $b[0])), (block_attributes = ($b[1] == null ? nil : $b[1])), $c;\n            if ($truthy(new_section)) {\n              document['$<<'](new_section)};\n          }\n        };\n        return document;\n      }, TMP_Parser_parse_5.$$arity = -3);\n      Opal.defs(self, '$parse_document_header', TMP_Parser_parse_document_header_6 = function $$parse_document_header(reader, document) {\n        var $a, $b, self = this, block_attributes = nil, implicit_doctitle = nil, assigned_doctitle = nil, val = nil, $writer = nil, section_title = nil, source_location = nil, _ = nil, doctitle = nil, atx = nil, separator = nil, style = nil, style_attrs = nil;\n\n        \n        block_attributes = self.$parse_block_metadata_lines(reader, document);\n        if ($truthy(($truthy($a = (implicit_doctitle = self['$is_next_line_doctitle?'](reader, block_attributes, document.$attributes()['$[]'](\"leveloffset\")))) ? block_attributes['$key?'](\"title\") : $a))) {\n          return document.$finalize_header(block_attributes, false)};\n        assigned_doctitle = nil;\n        if ($truthy((val = document.$attributes()['$[]'](\"doctitle\"))['$nil_or_empty?']())) {\n        } else {\n          \n          $writer = [(assigned_doctitle = val)];\n          $send(document, 'title=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];\n        };\n        section_title = nil;\n        if ($truthy(implicit_doctitle)) {\n          \n          if ($truthy(document.$sourcemap())) {\n            source_location = reader.$cursor()};\n          $b = self.$parse_section_title(reader, document), $a = Opal.to_ary($b), document['$id='](($a[0] == null ? nil : $a[0])), (_ = ($a[1] == null ? nil : $a[1])), (doctitle = ($a[2] == null ? nil : $a[2])), (_ = ($a[3] == null ? nil : $a[3])), (atx = ($a[4] == null ? nil : $a[4])), $b;\n          if ($truthy(assigned_doctitle)) {\n          } else {\n            \n            $writer = [(assigned_doctitle = doctitle)];\n            $send(document, 'title=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];\n          };\n          if ($truthy(($truthy($a = atx) ? $a : document['$attribute_locked?'](\"compat-mode\")))) {\n          } else {\n            document.$set_attr(\"compat-mode\")\n          };\n          if ($truthy((separator = block_attributes.$delete(\"separator\")))) {\n            if ($truthy(document['$attribute_locked?'](\"title-separator\"))) {\n            } else {\n              document.$set_attr(\"title-separator\", separator)\n            }};\n          if ($truthy(source_location)) {\n            \n            $writer = [source_location];\n            $send(document.$header(), 'source_location=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};\n          \n          $writer = [\"doctitle\", (section_title = doctitle)];\n          $send(document.$attributes(), '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          if ($truthy(document.$id())) {\n            \n            block_attributes.$delete(1);\n            block_attributes.$delete(\"id\");\n          } else {\n            \n            if ($truthy((style = block_attributes.$delete(1)))) {\n              \n              style_attrs = $hash(1, style);\n              self.$parse_style_attribute(style_attrs, reader);\n              if ($truthy(style_attrs['$key?'](\"id\"))) {\n                \n                $writer = [\"id\", style_attrs['$[]'](\"id\")];\n                $send(block_attributes, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];};};\n            \n            $writer = [block_attributes.$delete(\"id\")];\n            $send(document, 'id=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n          };\n          self.$parse_header_metadata(reader, document);};\n        if ($truthy(($truthy($a = (val = document.$attributes()['$[]'](\"doctitle\"))['$nil_or_empty?']()) ? $a : val['$=='](section_title)))) {\n        } else {\n          \n          $writer = [(assigned_doctitle = val)];\n          $send(document, 'title=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];\n        };\n        if ($truthy(assigned_doctitle)) {\n          \n          $writer = [\"doctitle\", assigned_doctitle];\n          $send(document.$attributes(), '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];};\n        if (document.$doctype()['$=='](\"manpage\")) {\n          self.$parse_manpage_header(reader, document)};\n        return document.$finalize_header(block_attributes);\n      }, TMP_Parser_parse_document_header_6.$$arity = 2);\n      Opal.defs(self, '$parse_manpage_header', TMP_Parser_parse_manpage_header_7 = function $$parse_manpage_header(reader, document) {\n        var $a, self = this, $writer = nil, name_section = nil, name_section_buffer = nil, m = nil;\n\n        \n        if ($truthy($$($nesting, 'ManpageTitleVolnumRx')['$=~'](document.$attributes()['$[]'](\"doctitle\")))) {\n          \n          \n          $writer = [\"mantitle\", document.$sub_attributes((($a = $gvars['~']) === nil ? nil : $a['$[]'](1)).$downcase())];\n          $send(document.$attributes(), '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [\"manvolnum\", (($a = $gvars['~']) === nil ? nil : $a['$[]'](2))];\n          $send(document.$attributes(), '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n        } else {\n          \n          self.$warn(\"\" + \"asciidoctor: ERROR: \" + (reader.$prev_line_info()) + \": malformed manpage title\");\n          \n          $writer = [\"mantitle\", document.$attributes()['$[]'](\"doctitle\")];\n          $send(document.$attributes(), '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [\"manvolnum\", \"1\"];\n          $send(document.$attributes(), '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n        };\n        reader.$skip_blank_lines();\n        if ($truthy(self['$is_next_line_section?'](reader, $hash2([], {})))) {\n          \n          name_section = self.$initialize_section(reader, document, $hash2([], {}));\n          if (name_section.$level()['$=='](1)) {\n            \n            name_section_buffer = $rb_times(reader.$read_lines_until($hash2([\"break_on_blank_lines\"], {\"break_on_blank_lines\": true})), \" \");\n            if ($truthy((m = $$($nesting, 'ManpageNamePurposeRx').$match(name_section_buffer)))) {\n              \n              \n              $writer = [\"manname\", document.$sub_attributes(m['$[]'](1))];\n              $send(document.$attributes(), '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;\n              \n              $writer = [\"manpurpose\", m['$[]'](2)];\n              $send(document.$attributes(), '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;\n              if (document.$backend()['$=='](\"manpage\")) {\n                \n                \n                $writer = [\"docname\", document.$attributes()['$[]'](\"manname\")];\n                $send(document.$attributes(), '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;\n                \n                $writer = [\"outfilesuffix\", \"\" + \".\" + (document.$attributes()['$[]'](\"manvolnum\"))];\n                $send(document.$attributes(), '[]=', Opal.to_a($writer));\n                return $writer[$rb_minus($writer[\"length\"], 1)];;\n              } else {\n                return nil\n              };\n            } else {\n              return self.$warn(\"\" + \"asciidoctor: ERROR: \" + (reader.$prev_line_info()) + \": malformed name section body\")\n            };\n          } else {\n            return self.$warn(\"\" + \"asciidoctor: ERROR: \" + (reader.$prev_line_info()) + \": name section title must be at level 1\")\n          };\n        } else {\n          return self.$warn(\"\" + \"asciidoctor: ERROR: \" + (reader.$prev_line_info()) + \": name section expected\")\n        };\n      }, TMP_Parser_parse_manpage_header_7.$$arity = 2);\n      Opal.defs(self, '$next_section', TMP_Parser_next_section_8 = function $$next_section(reader, parent, attributes) {\n        var $a, $b, $c, self = this, preamble = nil, intro = nil, part = nil, has_header = nil, doctype = nil, document = nil, $writer = nil, section = nil, current_level = nil, expected_next_levels = nil, title = nil, next_level = nil, new_section = nil, block_line_info = nil, new_block = nil, first_block = nil, child_block = nil;\n\n        if (attributes == null) {\n          attributes = $hash2([], {});\n        }\n        \n        preamble = (intro = (part = false));\n        if ($truthy(($truthy($a = (($b = parent.$context()['$=='](\"document\")) ? parent.$blocks()['$empty?']() : parent.$context()['$=='](\"document\"))) ? ($truthy($b = ($truthy($c = (has_header = parent['$has_header?']())) ? $c : attributes.$delete(\"invalid-header\"))) ? $b : self['$is_next_line_section?'](reader, attributes)['$!']()) : $a))) {\n          \n          doctype = (document = parent).$doctype();\n          if ($truthy(($truthy($a = has_header) ? $a : (($b = doctype['$=='](\"book\")) ? attributes['$[]'](1)['$!='](\"abstract\") : doctype['$=='](\"book\"))))) {\n            \n            preamble = (intro = $$($nesting, 'Block').$new(parent, \"preamble\", $hash2([\"content_model\"], {\"content_model\": \"compound\"})));\n            if ($truthy((($a = doctype['$=='](\"book\")) ? parent['$attr?'](\"preface-title\") : doctype['$=='](\"book\")))) {\n              \n              $writer = [parent.$attr(\"preface-title\")];\n              $send(preamble, 'title=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];};\n            parent['$<<'](preamble);};\n          section = parent;\n          current_level = 0;\n          if ($truthy(parent.$attributes()['$key?'](\"fragment\"))) {\n            expected_next_levels = nil\n          } else if (doctype['$=='](\"book\")) {\n            expected_next_levels = [0, 1]\n          } else {\n            expected_next_levels = [1]\n          };\n        } else {\n          \n          doctype = (document = parent.$document()).$doctype();\n          section = self.$initialize_section(reader, parent, attributes);\n          attributes = (function() {if ($truthy((title = attributes['$[]'](\"title\")))) {\n            return $hash2([\"title\"], {\"title\": title})\n          } else {\n            return $hash2([], {})\n          }; return nil; })();\n          part = section.$sectname()['$=='](\"part\");\n          expected_next_levels = [$rb_plus((current_level = section.$level()), 1)];\n        };\n        reader.$skip_blank_lines();\n        while ($truthy(reader['$has_more_lines?']())) {\n          \n          self.$parse_block_metadata_lines(reader, document, attributes);\n          if ($truthy((next_level = self['$is_next_line_section?'](reader, attributes)))) {\n            \n            if ($truthy(document['$attr?'](\"leveloffset\"))) {\n              next_level = $rb_plus(next_level, document.$attr(\"leveloffset\").$to_i())};\n            if ($truthy(($truthy($b = $rb_gt(next_level, current_level)) ? $b : (($c = next_level['$=='](0)) ? section.$context()['$=='](\"document\") : next_level['$=='](0))))) {\n              \n              if ($truthy((($b = next_level['$=='](0)) ? doctype['$!='](\"book\") : next_level['$=='](0)))) {\n                self.$warn(\"\" + \"asciidoctor: ERROR: \" + (reader.$line_info()) + \": only book doctypes can contain level 0 sections\")\n              } else if ($truthy(($truthy($b = expected_next_levels) ? expected_next_levels['$include?'](next_level)['$!']() : $b))) {\n                self.$warn(\"\" + \"asciidoctor: WARNING: \" + (reader.$line_info()) + \": section title out of sequence: expected \" + ((function() {if ($truthy($rb_gt(expected_next_levels.$size(), 1))) {\n                  return \"levels\"\n                } else {\n                  return \"level\"\n                }; return nil; })()) + \" \" + ($rb_times(expected_next_levels, \" or \")) + \", got level \" + (next_level))};\n              $c = self.$next_section(reader, section, attributes), $b = Opal.to_ary($c), (new_section = ($b[0] == null ? nil : $b[0])), (attributes = ($b[1] == null ? nil : $b[1])), $c;\n              section['$<<'](new_section);\n            } else {\n              \n              if ($truthy((($b = next_level['$=='](0)) ? doctype['$!='](\"book\") : next_level['$=='](0)))) {\n                self.$warn(\"\" + \"asciidoctor: ERROR: \" + (reader.$line_info()) + \": only book doctypes can contain level 0 sections\")};\n              break;;\n            };\n          } else {\n            \n            block_line_info = reader.$line_info();\n            if ($truthy((new_block = self.$next_block(reader, ($truthy($b = intro) ? $b : section), attributes, $hash2([\"parse_metadata\"], {\"parse_metadata\": false}))))) {\n              \n              if ($truthy(part)) {\n                if ($truthy(section['$blocks?']()['$!']())) {\n                  if ($truthy(new_block.$style()['$!='](\"partintro\"))) {\n                    if (new_block.$context()['$=='](\"paragraph\")) {\n                      \n                      \n                      $writer = [\"open\"];\n                      $send(new_block, 'context=', Opal.to_a($writer));\n                      $writer[$rb_minus($writer[\"length\"], 1)];;\n                      \n                      $writer = [\"partintro\"];\n                      $send(new_block, 'style=', Opal.to_a($writer));\n                      $writer[$rb_minus($writer[\"length\"], 1)];;\n                    } else {\n                      \n                      intro = $$($nesting, 'Block').$new(section, \"open\", $hash2([\"content_model\"], {\"content_model\": \"compound\"}));\n                      \n                      $writer = [\"partintro\"];\n                      $send(intro, 'style=', Opal.to_a($writer));\n                      $writer[$rb_minus($writer[\"length\"], 1)];;\n                      \n                      $writer = [intro];\n                      $send(new_block, 'parent=', Opal.to_a($writer));\n                      $writer[$rb_minus($writer[\"length\"], 1)];;\n                      section['$<<'](intro);\n                    }}\n                } else if (section.$blocks().$size()['$=='](1)) {\n                  \n                  first_block = section.$blocks()['$[]'](0);\n                  if ($truthy(($truthy($b = intro['$!']()) ? first_block.$content_model()['$=='](\"compound\") : $b))) {\n                    self.$warn(\"\" + \"asciidoctor: ERROR: \" + (block_line_info) + \": illegal block content outside of partintro block\")\n                  } else if ($truthy(first_block.$content_model()['$!='](\"compound\"))) {\n                    \n                    intro = $$($nesting, 'Block').$new(section, \"open\", $hash2([\"content_model\"], {\"content_model\": \"compound\"}));\n                    \n                    $writer = [\"partintro\"];\n                    $send(intro, 'style=', Opal.to_a($writer));\n                    $writer[$rb_minus($writer[\"length\"], 1)];;\n                    section.$blocks().$shift();\n                    if (first_block.$style()['$=='](\"partintro\")) {\n                      \n                      \n                      $writer = [\"paragraph\"];\n                      $send(first_block, 'context=', Opal.to_a($writer));\n                      $writer[$rb_minus($writer[\"length\"], 1)];;\n                      \n                      $writer = [nil];\n                      $send(first_block, 'style=', Opal.to_a($writer));\n                      $writer[$rb_minus($writer[\"length\"], 1)];;};\n                    \n                    $writer = [intro];\n                    $send(first_block, 'parent=', Opal.to_a($writer));\n                    $writer[$rb_minus($writer[\"length\"], 1)];;\n                    intro['$<<'](first_block);\n                    \n                    $writer = [intro];\n                    $send(new_block, 'parent=', Opal.to_a($writer));\n                    $writer[$rb_minus($writer[\"length\"], 1)];;\n                    section['$<<'](intro);};}};\n              ($truthy($b = intro) ? $b : section)['$<<'](new_block);\n              attributes = $hash2([], {});};\n          };\n          if ($truthy($b = reader.$skip_blank_lines())) {\n            $b\n          } else {\n            break;\n          };\n        };\n        if ($truthy(part)) {\n          if ($truthy(($truthy($a = section['$blocks?']()) ? section.$blocks()['$[]'](-1).$context()['$=='](\"section\") : $a))) {\n          } else {\n            self.$warn(\"\" + \"asciidoctor: ERROR: \" + (reader.$line_info()) + \": invalid part, must have at least one section (e.g., chapter, appendix, etc.)\")\n          }\n        } else if ($truthy(preamble)) {\n          if ($truthy(preamble['$blocks?']())) {\n            if ($truthy(($truthy($a = ($truthy($b = $$($nesting, 'Compliance').$unwrap_standalone_preamble()) ? document.$blocks().$size()['$=='](1) : $b)) ? doctype['$!='](\"book\") : $a))) {\n              \n              document.$blocks().$shift();\n              while ($truthy((child_block = preamble.$blocks().$shift()))) {\n                \n                \n                $writer = [document];\n                $send(child_block, 'parent=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;\n                document['$<<'](child_block);\n              };}\n          } else {\n            document.$blocks().$shift()\n          }};\n        return [(function() {if ($truthy(section['$!='](parent))) {\n          return section\n        } else {\n          return nil\n        }; return nil; })(), attributes.$dup()];\n      }, TMP_Parser_next_section_8.$$arity = -3);\n      Opal.defs(self, '$next_block', TMP_Parser_next_block_14 = function $$next_block(reader, parent, attributes, options) {try {\n\n        var $a, $b, $c, TMP_9, $d, $e, TMP_10, TMP_11, TMP_12, TMP_13, self = this, skipped = nil, text_only = nil, document = nil, extensions = nil, block_extensions = nil, block_macro_extensions = nil, source_location = nil, this_path = nil, this_lineno = nil, this_line = nil, in_list = nil, block = nil, block_context = nil, cloaked_context = nil, terminator = nil, style = nil, delimited_block = nil, $writer = nil, indented = nil, md_syntax = nil, ch0 = nil, layout_break_chars = nil, ll = nil, match = nil, blk_ctx = nil, target = nil, $case = nil, posattrs = nil, scaledwidth = nil, extension = nil, content = nil, default_attrs = nil, expected_index = nil, list_item_lineno = nil, list_item = nil, coids = nil, marker = nil, float_id = nil, float_reftext = nil, float_title = nil, float_level = nil, _ = nil, break_at_list = nil, lines = nil, admonition_name = nil, attribution = nil, citetitle = nil, language = nil, comma_idx = nil, explicit_stem_syntax = nil, default_stem_syntax = nil, block_reader = nil, content_model = nil, pos_attrs = nil, block_id = nil;\n\n        if (attributes == null) {\n          attributes = $hash2([], {});\n        }\n        if (options == null) {\n          options = $hash2([], {});\n        }\n        \n        if ($truthy((skipped = reader.$skip_blank_lines()))) {\n        } else {\n          return nil\n        };\n        if ($truthy(($truthy($a = (text_only = options['$[]'](\"text\"))) ? $rb_gt(skipped, 0) : $a))) {\n          \n          options.$delete(\"text\");\n          text_only = false;};\n        document = parent.$document();\n        if ($truthy(options.$fetch(\"parse_metadata\", true))) {\n          while ($truthy(self.$parse_block_metadata_line(reader, document, attributes, options))) {\n            \n            reader.$shift();\n            ($truthy($b = reader.$skip_blank_lines()) ? $b : Opal.ret(nil));\n          }};\n        if ($truthy((extensions = document.$extensions()))) {\n          $a = [extensions['$blocks?'](), extensions['$block_macros?']()], (block_extensions = $a[0]), (block_macro_extensions = $a[1]), $a};\n        if ($truthy(document.$sourcemap())) {\n          source_location = reader.$cursor()};\n        $a = [reader.$path(), reader.$lineno(), reader.$read_line(), $$($nesting, 'ListItem')['$==='](parent)], (this_path = $a[0]), (this_lineno = $a[1]), (this_line = $a[2]), (in_list = $a[3]), $a;\n        block = (block_context = (cloaked_context = (terminator = nil)));\n        style = (function() {if ($truthy(attributes['$[]'](1))) {\n          \n          return self.$parse_style_attribute(attributes, reader);\n        } else {\n          return nil\n        }; return nil; })();\n        if ($truthy((delimited_block = self['$is_delimited_block?'](this_line, true)))) {\n          \n          block_context = (cloaked_context = delimited_block.$context());\n          terminator = delimited_block.$terminator();\n          if ($truthy(style['$!']())) {\n            style = (($writer = [\"style\", block_context.$to_s()]), $send(attributes, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])\n          } else if ($truthy(style['$!='](block_context.$to_s()))) {\n            if ($truthy(delimited_block.$masq()['$include?'](style))) {\n              block_context = style.$to_sym()\n            } else if ($truthy(($truthy($a = delimited_block.$masq()['$include?'](\"admonition\")) ? $$($nesting, 'ADMONITION_STYLES')['$include?'](style) : $a))) {\n              block_context = \"admonition\"\n            } else if ($truthy(($truthy($a = block_extensions) ? extensions['$registered_for_block?'](style, block_context) : $a))) {\n              block_context = style.$to_sym()\n            } else {\n              \n              self.$warn(\"\" + \"asciidoctor: WARNING: \" + (this_path) + \": line \" + (this_lineno) + \": invalid style for \" + (block_context) + \" block: \" + (style));\n              style = block_context.$to_s();\n            }};};\n        if ($truthy(delimited_block)) {\n        } else {\n          while ($truthy(true)) {\n            \n            if ($truthy(($truthy($b = ($truthy($c = style) ? $$($nesting, 'Compliance').$strict_verbatim_paragraphs() : $c)) ? $$($nesting, 'VERBATIM_STYLES')['$include?'](style) : $b))) {\n              \n              block_context = style.$to_sym();\n              reader.$unshift_line(this_line);\n              break;;};\n            if ($truthy(text_only)) {\n              indented = this_line['$start_with?'](\" \", $$($nesting, 'TAB'))\n            } else {\n              \n              md_syntax = $$($nesting, 'Compliance').$markdown_syntax();\n              if ($truthy(this_line['$start_with?'](\" \"))) {\n                \n                $b = [true, \" \"], (indented = $b[0]), (ch0 = $b[1]), $b;\n                if ($truthy(($truthy($b = ($truthy($c = md_syntax) ? $send(this_line.$lstrip(), 'start_with?', Opal.to_a($$($nesting, 'MARKDOWN_THEMATIC_BREAK_CHARS').$keys())) : $c)) ? $$($nesting, 'MarkdownThematicBreakRx')['$match?'](this_line) : $b))) {\n                  \n                  block = $$($nesting, 'Block').$new(parent, \"thematic_break\", $hash2([\"content_model\"], {\"content_model\": \"empty\"}));\n                  break;;};\n              } else if ($truthy(this_line['$start_with?']($$($nesting, 'TAB')))) {\n                $b = [true, $$($nesting, 'TAB')], (indented = $b[0]), (ch0 = $b[1]), $b\n              } else {\n                \n                $b = [false, this_line.$chr()], (indented = $b[0]), (ch0 = $b[1]), $b;\n                layout_break_chars = (function() {if ($truthy(md_syntax)) {\n                  return $$($nesting, 'HYBRID_LAYOUT_BREAK_CHARS')\n                } else {\n                  return $$($nesting, 'LAYOUT_BREAK_CHARS')\n                }; return nil; })();\n                if ($truthy(($truthy($b = layout_break_chars['$key?'](ch0)) ? (function() {if ($truthy(md_syntax)) {\n                  \n                  return $$($nesting, 'ExtLayoutBreakRx')['$match?'](this_line);\n                } else {\n                  \n                  return (($c = this_line['$==']($rb_times(ch0, (ll = this_line.$length())))) ? $rb_gt(ll, 2) : this_line['$==']($rb_times(ch0, (ll = this_line.$length()))));\n                }; return nil; })() : $b))) {\n                  \n                  block = $$($nesting, 'Block').$new(parent, layout_break_chars['$[]'](ch0), $hash2([\"content_model\"], {\"content_model\": \"empty\"}));\n                  break;;\n                } else if ($truthy(($truthy($b = this_line['$end_with?'](\"]\")) ? this_line['$include?'](\"::\") : $b))) {\n                  if ($truthy(($truthy($b = ($truthy($c = ch0['$=='](\"i\")) ? $c : this_line['$start_with?'](\"video:\", \"audio:\"))) ? (match = $$($nesting, 'BlockMediaMacroRx').$match(this_line)) : $b))) {\n                    \n                    $b = [match['$[]'](1).$to_sym(), match['$[]'](2)], (blk_ctx = $b[0]), (target = $b[1]), $b;\n                    block = $$($nesting, 'Block').$new(parent, blk_ctx, $hash2([\"content_model\"], {\"content_model\": \"empty\"}));\n                    $case = blk_ctx;\n                    if (\"video\"['$===']($case)) {posattrs = [\"poster\", \"width\", \"height\"]}\n                    else if (\"audio\"['$===']($case)) {posattrs = []}\n                    else {posattrs = [\"alt\", \"width\", \"height\"]};\n                    block.$parse_attributes(match['$[]'](3), posattrs, $hash2([\"sub_input\", \"sub_result\", \"into\"], {\"sub_input\": true, \"sub_result\": false, \"into\": attributes}));\n                    if ($truthy(attributes['$key?'](\"style\"))) {\n                      attributes.$delete(\"style\")};\n                    if ($truthy(($truthy($b = target['$include?']($$($nesting, 'ATTR_REF_HEAD'))) ? (target = block.$sub_attributes(target, $hash2([\"attribute_missing\"], {\"attribute_missing\": \"drop-line\"})))['$empty?']() : $b))) {\n                      if (document.$attributes().$fetch(\"attribute-missing\", $$($nesting, 'Compliance').$attribute_missing())['$=='](\"skip\")) {\n                        return $$($nesting, 'Block').$new(parent, \"paragraph\", $hash2([\"content_model\", \"source\"], {\"content_model\": \"simple\", \"source\": [this_line]}))\n                      } else {\n                        \n                        attributes.$clear();\n                        return nil;\n                      }};\n                    if (blk_ctx['$=='](\"image\")) {\n                      \n                      block.$document().$register(\"images\", target);\n                      ($truthy($b = attributes['$[]'](\"alt\")) ? $b : (($writer = [\"alt\", ($truthy($c = style) ? $c : (($writer = [\"default-alt\", $$($nesting, 'Helpers').$basename(target, true).$tr(\"_-\", \" \")]), $send(attributes, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))]), $send(attributes, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n                      if ($truthy((scaledwidth = attributes.$delete(\"scaledwidth\"))['$nil_or_empty?']())) {\n                      } else {\n                        \n                        $writer = [\"scaledwidth\", (function() {if ($truthy($$($nesting, 'TrailingDigitsRx')['$match?'](scaledwidth))) {\n                          return \"\" + (scaledwidth) + \"%\"\n                        } else {\n                          return scaledwidth\n                        }; return nil; })()];\n                        $send(attributes, '[]=', Opal.to_a($writer));\n                        $writer[$rb_minus($writer[\"length\"], 1)];\n                      };\n                      \n                      $writer = [attributes.$delete(\"title\")];\n                      $send(block, 'title=', Opal.to_a($writer));\n                      $writer[$rb_minus($writer[\"length\"], 1)];;\n                      block.$assign_caption(attributes.$delete(\"caption\"), \"figure\");};\n                    \n                    $writer = [\"target\", target];\n                    $send(attributes, '[]=', Opal.to_a($writer));\n                    $writer[$rb_minus($writer[\"length\"], 1)];;\n                    break;;\n                  } else if ($truthy(($truthy($b = (($c = ch0['$=='](\"t\")) ? this_line['$start_with?'](\"toc:\") : ch0['$=='](\"t\"))) ? (match = $$($nesting, 'BlockTocMacroRx').$match(this_line)) : $b))) {\n                    \n                    block = $$($nesting, 'Block').$new(parent, \"toc\", $hash2([\"content_model\"], {\"content_model\": \"empty\"}));\n                    block.$parse_attributes(match['$[]'](1), [], $hash2([\"sub_result\", \"into\"], {\"sub_result\": false, \"into\": attributes}));\n                    break;;\n                  } else if ($truthy(($truthy($b = ($truthy($c = block_macro_extensions) ? (match = $$($nesting, 'CustomBlockMacroRx').$match(this_line)) : $c)) ? (extension = extensions['$registered_for_block_macro?'](match['$[]'](1))) : $b))) {\n                    \n                    target = match['$[]'](2);\n                    content = match['$[]'](3);\n                    if (extension.$config()['$[]'](\"content_model\")['$=='](\"attributes\")) {\n                      if ($truthy(content['$empty?']())) {\n                      } else {\n                        document.$parse_attributes(content, ($truthy($b = extension.$config()['$[]'](\"pos_attrs\")) ? $b : []), $hash2([\"sub_input\", \"sub_result\", \"into\"], {\"sub_input\": true, \"sub_result\": false, \"into\": attributes}))\n                      }\n                    } else {\n                      \n                      $writer = [\"text\", content];\n                      $send(attributes, '[]=', Opal.to_a($writer));\n                      $writer[$rb_minus($writer[\"length\"], 1)];\n                    };\n                    if ($truthy((default_attrs = extension.$config()['$[]'](\"default_attrs\")))) {\n                      $send(attributes, 'update', [default_attrs], (TMP_9 = function(_, old_v){var self = TMP_9.$$s || this;\nif (_ == null) _ = nil;if (old_v == null) old_v = nil;\n                      return old_v}, TMP_9.$$s = self, TMP_9.$$arity = 2, TMP_9))};\n                    if ($truthy((block = extension.$process_method()['$[]'](parent, target, attributes)))) {\n                      \n                      attributes.$replace(block.$attributes());\n                      break;;\n                    } else {\n                      \n                      attributes.$clear();\n                      return nil;\n                    };}};\n              };\n            };\n            if ($truthy(($truthy($b = ($truthy($c = ($truthy($d = indented['$!']()) ? $$($nesting, 'CALLOUT_LIST_HEADS')['$include?']((ch0 = ($truthy($e = ch0) ? $e : this_line.$chr()))) : $d)) ? $$($nesting, 'CalloutListSniffRx')['$match?'](this_line) : $c)) ? (match = $$($nesting, 'CalloutListRx').$match(this_line)) : $b))) {\n              \n              block = $$($nesting, 'List').$new(parent, \"colist\");\n              \n              $writer = [\"style\", \"arabic\"];\n              $send(attributes, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;\n              reader.$unshift_line(this_line);\n              expected_index = 1;\n              while ($truthy(($truthy($c = match) ? $c : ($truthy($d = reader['$has_more_lines?']()) ? (match = $$($nesting, 'CalloutListRx').$match(reader.$peek_line())) : $d)))) {\n                \n                list_item_lineno = reader.$lineno();\n                if (match['$[]'](1)['$=='](expected_index.$to_s())) {\n                } else {\n                  self.$warn(\"\" + \"asciidoctor: WARNING: \" + (reader.$path()) + \": line \" + (list_item_lineno) + \": callout list item index: expected \" + (expected_index) + \" got \" + (match['$[]'](1)))\n                };\n                if ($truthy((list_item = self.$next_list_item(reader, block, match)))) {\n                  \n                  block['$<<'](list_item);\n                  if ($truthy((coids = document.$callouts().$callout_ids(block.$items().$size()))['$empty?']())) {\n                    self.$warn(\"\" + \"asciidoctor: WARNING: \" + (reader.$path()) + \": line \" + (list_item_lineno) + \": no callouts refer to list item \" + (block.$items().$size()))\n                  } else {\n                    \n                    $writer = [\"coids\", coids];\n                    $send(list_item.$attributes(), '[]=', Opal.to_a($writer));\n                    $writer[$rb_minus($writer[\"length\"], 1)];\n                  };};\n                expected_index = $rb_plus(expected_index, 1);\n                match = nil;\n              };\n              document.$callouts().$next_list();\n              break;;\n            } else if ($truthy($$($nesting, 'UnorderedListRx')['$match?'](this_line))) {\n              \n              reader.$unshift_line(this_line);\n              block = self.$next_item_list(reader, \"ulist\", parent);\n              if (($truthy($b = style) ? $b : ($truthy($c = $$($nesting, 'Section')['$==='](parent)) ? parent.$sectname() : $c))['$=='](\"bibliography\")) {\n                \n                if ($truthy(style)) {\n                } else {\n                  \n                  $writer = [\"style\", \"bibliography\"];\n                  $send(attributes, '[]=', Opal.to_a($writer));\n                  $writer[$rb_minus($writer[\"length\"], 1)];\n                };\n                $send(block.$items(), 'each', [], (TMP_10 = function(item){var self = TMP_10.$$s || this;\nif (item == null) item = nil;\n                return self.$catalog_inline_biblio_anchor(item.$instance_variable_get(\"@text\"), item, document)}, TMP_10.$$s = self, TMP_10.$$arity = 1, TMP_10));};\n              break;;\n            } else if ($truthy((match = $$($nesting, 'OrderedListRx').$match(this_line)))) {\n              \n              reader.$unshift_line(this_line);\n              block = self.$next_item_list(reader, \"olist\", parent);\n              if ($truthy(style)) {\n              } else {\n                \n                marker = block.$items()['$[]'](0).$marker();\n                if ($truthy(marker['$start_with?'](\".\"))) {\n                  \n                  $writer = [\"style\", ($truthy($b = $$($nesting, 'ORDERED_LIST_STYLES')['$[]']($rb_minus(marker.$length(), 1))) ? $b : \"arabic\").$to_s()];\n                  $send(attributes, '[]=', Opal.to_a($writer));\n                  $writer[$rb_minus($writer[\"length\"], 1)];\n                } else {\n                  \n                  $writer = [\"style\", ($truthy($b = $send($$($nesting, 'ORDERED_LIST_STYLES'), 'find', [], (TMP_11 = function(s){var self = TMP_11.$$s || this;\nif (s == null) s = nil;\n                  return $$($nesting, 'OrderedListMarkerRxMap')['$[]'](s)['$match?'](marker)}, TMP_11.$$s = self, TMP_11.$$arity = 1, TMP_11))) ? $b : \"arabic\").$to_s()];\n                  $send(attributes, '[]=', Opal.to_a($writer));\n                  $writer[$rb_minus($writer[\"length\"], 1)];\n                };\n              };\n              break;;\n            } else if ($truthy((match = $$($nesting, 'DescriptionListRx').$match(this_line)))) {\n              \n              reader.$unshift_line(this_line);\n              block = self.$next_description_list(reader, match, parent);\n              break;;\n            } else if ($truthy(($truthy($b = ($truthy($c = style['$=='](\"float\")) ? $c : style['$=='](\"discrete\"))) ? (function() {if ($truthy($$($nesting, 'Compliance').$underline_style_section_titles())) {\n              \n              return self['$is_section_title?'](this_line, reader.$peek_line());\n            } else {\n              return ($truthy($c = indented['$!']()) ? self['$atx_section_title?'](this_line) : $c)\n            }; return nil; })() : $b))) {\n              \n              reader.$unshift_line(this_line);\n              $c = self.$parse_section_title(reader, document), $b = Opal.to_ary($c), (float_id = ($b[0] == null ? nil : $b[0])), (float_reftext = ($b[1] == null ? nil : $b[1])), (float_title = ($b[2] == null ? nil : $b[2])), (float_level = ($b[3] == null ? nil : $b[3])), (_ = ($b[4] == null ? nil : $b[4])), $c;\n              if ($truthy(float_reftext)) {\n                \n                $writer = [\"reftext\", float_reftext];\n                $send(attributes, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];};\n              block = $$($nesting, 'Block').$new(parent, \"floating_title\", $hash2([\"content_model\"], {\"content_model\": \"empty\"}));\n              \n              $writer = [float_title];\n              $send(block, 'title=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;\n              attributes.$delete(\"title\");\n              \n              $writer = [($truthy($b = ($truthy($c = float_id) ? $c : attributes['$[]'](\"id\"))) ? $b : (function() {if ($truthy(document.$attributes()['$key?'](\"sectids\"))) {\n                \n                return $$($nesting, 'Section').$generate_id(block.$title(), document);\n              } else {\n                return nil\n              }; return nil; })())];\n              $send(block, 'id=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;\n              \n              $writer = [float_level];\n              $send(block, 'level=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;\n              break;;\n            } else if ($truthy(($truthy($b = style) ? style['$!='](\"normal\") : $b))) {\n              if ($truthy($$($nesting, 'PARAGRAPH_STYLES')['$include?'](style))) {\n                \n                block_context = style.$to_sym();\n                cloaked_context = \"paragraph\";\n                reader.$unshift_line(this_line);\n                break;;\n              } else if ($truthy($$($nesting, 'ADMONITION_STYLES')['$include?'](style))) {\n                \n                block_context = \"admonition\";\n                cloaked_context = \"paragraph\";\n                reader.$unshift_line(this_line);\n                break;;\n              } else if ($truthy(($truthy($b = block_extensions) ? extensions['$registered_for_block?'](style, \"paragraph\") : $b))) {\n                \n                block_context = style.$to_sym();\n                cloaked_context = \"paragraph\";\n                reader.$unshift_line(this_line);\n                break;;\n              } else {\n                \n                self.$warn(\"\" + \"asciidoctor: WARNING: \" + (this_path) + \": line \" + (this_lineno) + \": invalid style for paragraph: \" + (style));\n                style = nil;\n              }};\n            break_at_list = (($b = skipped['$=='](0)) ? in_list : skipped['$=='](0));\n            reader.$unshift_line(this_line);\n            if ($truthy(($truthy($b = indented) ? style['$!']() : $b))) {\n              \n              lines = self.$read_paragraph_lines(reader, break_at_list, $hash2([\"skip_line_comments\"], {\"skip_line_comments\": text_only}));\n              self['$adjust_indentation!'](lines);\n              block = $$($nesting, 'Block').$new(parent, \"literal\", $hash2([\"content_model\", \"source\", \"attributes\"], {\"content_model\": \"verbatim\", \"source\": lines, \"attributes\": attributes}));\n              if ($truthy(in_list)) {\n                block.$set_option(\"listparagraph\")};\n            } else {\n              \n              lines = self.$read_paragraph_lines(reader, break_at_list, $hash2([\"skip_line_comments\"], {\"skip_line_comments\": true}));\n              if ($truthy(text_only)) {\n                \n                if ($truthy(($truthy($b = indented) ? style['$=='](\"normal\") : $b))) {\n                  self['$adjust_indentation!'](lines)};\n                block = $$($nesting, 'Block').$new(parent, \"paragraph\", $hash2([\"content_model\", \"source\", \"attributes\"], {\"content_model\": \"simple\", \"source\": lines, \"attributes\": attributes}));\n              } else if ($truthy(($truthy($b = ($truthy($c = $$($nesting, 'ADMONITION_STYLE_HEADS')['$include?'](ch0)) ? this_line['$include?'](\":\") : $c)) ? $$($nesting, 'AdmonitionParagraphRx')['$=~'](this_line) : $b))) {\n                \n                \n                $writer = [0, (($b = $gvars['~']) === nil ? nil : $b.$post_match())];\n                $send(lines, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;\n                \n                $writer = [\"name\", (admonition_name = (($writer = [\"style\", (($b = $gvars['~']) === nil ? nil : $b['$[]'](1))]), $send(attributes, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]).$downcase())];\n                $send(attributes, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;\n                \n                $writer = [\"textlabel\", ($truthy($b = attributes.$delete(\"caption\")) ? $b : document.$attributes()['$[]'](\"\" + (admonition_name) + \"-caption\"))];\n                $send(attributes, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;\n                block = $$($nesting, 'Block').$new(parent, \"admonition\", $hash2([\"content_model\", \"source\", \"attributes\"], {\"content_model\": \"simple\", \"source\": lines, \"attributes\": attributes}));\n              } else if ($truthy(($truthy($b = ($truthy($c = md_syntax) ? ch0['$=='](\">\") : $c)) ? this_line['$start_with?'](\"> \") : $b))) {\n                \n                $send(lines, 'map!', [], (TMP_12 = function(line){var self = TMP_12.$$s || this;\nif (line == null) line = nil;\n                if (line['$=='](\">\")) {\n                    return line['$[]']($range(1, -1, false))\n                  } else {\n                    \n                    if ($truthy(line['$start_with?'](\"> \"))) {\n                      return line['$[]']($range(2, -1, false))\n                    } else {\n                      return line\n                    };\n                  }}, TMP_12.$$s = self, TMP_12.$$arity = 1, TMP_12));\n                if ($truthy(lines['$[]'](-1)['$start_with?'](\"-- \"))) {\n                  \n                  $c = lines.$pop()['$[]']($range(3, -1, false)).$split(\", \", 2), $b = Opal.to_ary($c), (attribution = ($b[0] == null ? nil : $b[0])), (citetitle = ($b[1] == null ? nil : $b[1])), $c;\n                  if ($truthy(attribution)) {\n                    \n                    $writer = [\"attribution\", attribution];\n                    $send(attributes, '[]=', Opal.to_a($writer));\n                    $writer[$rb_minus($writer[\"length\"], 1)];};\n                  if ($truthy(citetitle)) {\n                    \n                    $writer = [\"citetitle\", citetitle];\n                    $send(attributes, '[]=', Opal.to_a($writer));\n                    $writer[$rb_minus($writer[\"length\"], 1)];};\n                  while ($truthy(lines['$[]'](-1)['$empty?']())) {\n                    lines.$pop()\n                  };};\n                \n                $writer = [\"style\", \"quote\"];\n                $send(attributes, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;\n                block = self.$build_block(\"quote\", \"compound\", false, parent, $$($nesting, 'Reader').$new(lines), attributes);\n              } else if ($truthy(($truthy($b = ($truthy($c = (($d = ch0['$=='](\"\\\"\")) ? $rb_gt(lines.$size(), 1) : ch0['$=='](\"\\\"\"))) ? lines['$[]'](-1)['$start_with?'](\"-- \") : $c)) ? lines['$[]'](-2)['$end_with?'](\"\\\"\") : $b))) {\n                \n                \n                $writer = [0, this_line['$[]']($range(1, -1, false))];\n                $send(lines, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;\n                $c = lines.$pop()['$[]']($range(3, -1, false)).$split(\", \", 2), $b = Opal.to_ary($c), (attribution = ($b[0] == null ? nil : $b[0])), (citetitle = ($b[1] == null ? nil : $b[1])), $c;\n                if ($truthy(attribution)) {\n                  \n                  $writer = [\"attribution\", attribution];\n                  $send(attributes, '[]=', Opal.to_a($writer));\n                  $writer[$rb_minus($writer[\"length\"], 1)];};\n                if ($truthy(citetitle)) {\n                  \n                  $writer = [\"citetitle\", citetitle];\n                  $send(attributes, '[]=', Opal.to_a($writer));\n                  $writer[$rb_minus($writer[\"length\"], 1)];};\n                while ($truthy(lines['$[]'](-1)['$empty?']())) {\n                  lines.$pop()\n                };\n                \n                $writer = [-1, lines['$[]'](-1).$chop()];\n                $send(lines, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;\n                \n                $writer = [\"style\", \"quote\"];\n                $send(attributes, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;\n                block = $$($nesting, 'Block').$new(parent, \"quote\", $hash2([\"content_model\", \"source\", \"attributes\"], {\"content_model\": \"simple\", \"source\": lines, \"attributes\": attributes}));\n              } else {\n                \n                if ($truthy(($truthy($b = indented) ? style['$=='](\"normal\") : $b))) {\n                  self['$adjust_indentation!'](lines)};\n                block = $$($nesting, 'Block').$new(parent, \"paragraph\", $hash2([\"content_model\", \"source\", \"attributes\"], {\"content_model\": \"simple\", \"source\": lines, \"attributes\": attributes}));\n              };\n              self.$catalog_inline_anchors($rb_times(lines, $$($nesting, 'LF')), block, document);\n            };\n            break;;\n          }\n        };\n        if ($truthy(block)) {\n        } else {\n          \n          if ($truthy(($truthy($a = block_context['$=='](\"abstract\")) ? $a : block_context['$=='](\"partintro\")))) {\n            block_context = \"open\"};\n          $case = block_context;\n          if (\"admonition\"['$===']($case)) {\n          \n          $writer = [\"name\", (admonition_name = style.$downcase())];\n          $send(attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [\"textlabel\", ($truthy($a = attributes.$delete(\"caption\")) ? $a : document.$attributes()['$[]'](\"\" + (admonition_name) + \"-caption\"))];\n          $send(attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          block = self.$build_block(block_context, \"compound\", terminator, parent, reader, attributes);}\n          else if (\"comment\"['$===']($case)) {\n          self.$build_block(block_context, \"skip\", terminator, parent, reader, attributes);\n          attributes.$clear();\n          return nil;}\n          else if (\"example\"['$===']($case)) {block = self.$build_block(block_context, \"compound\", terminator, parent, reader, attributes)}\n          else if (\"listing\"['$===']($case) || \"literal\"['$===']($case)) {block = self.$build_block(block_context, \"verbatim\", terminator, parent, reader, attributes)}\n          else if (\"source\"['$===']($case)) {\n          $$($nesting, 'AttributeList').$rekey(attributes, [nil, \"language\", \"linenums\"]);\n          if ($truthy(attributes['$key?'](\"language\"))) {\n          } else if ($truthy(document.$attributes()['$key?'](\"source-language\"))) {\n            \n            $writer = [\"language\", ($truthy($a = document.$attributes()['$[]'](\"source-language\")) ? $a : \"text\")];\n            $send(attributes, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};\n          if ($truthy(attributes['$key?'](\"linenums\"))) {\n          } else if ($truthy(($truthy($a = attributes['$key?'](\"linenums-option\")) ? $a : document.$attributes()['$key?'](\"source-linenums-option\")))) {\n            \n            $writer = [\"linenums\", \"\"];\n            $send(attributes, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};\n          if ($truthy(attributes['$key?'](\"indent\"))) {\n          } else if ($truthy(document.$attributes()['$key?'](\"source-indent\"))) {\n            \n            $writer = [\"indent\", document.$attributes()['$[]'](\"source-indent\")];\n            $send(attributes, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};\n          block = self.$build_block(\"listing\", \"verbatim\", terminator, parent, reader, attributes);}\n          else if (\"fenced_code\"['$===']($case)) {\n          \n          $writer = [\"style\", \"source\"];\n          $send(attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          if ((ll = this_line.$length())['$=='](3)) {\n            language = nil\n          } else if ($truthy((comma_idx = (language = this_line.$slice(3, ll)).$index(\",\")))) {\n            if ($truthy($rb_gt(comma_idx, 0))) {\n              \n              language = language.$slice(0, comma_idx).$strip();\n              if ($truthy($rb_lt(comma_idx, $rb_minus(ll, 4)))) {\n                \n                $writer = [\"linenums\", \"\"];\n                $send(attributes, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];};\n            } else {\n              \n              language = nil;\n              if ($truthy($rb_gt(ll, 4))) {\n                \n                $writer = [\"linenums\", \"\"];\n                $send(attributes, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];};\n            }\n          } else {\n            language = language.$lstrip()\n          };\n          if ($truthy(language['$nil_or_empty?']())) {\n            if ($truthy(document.$attributes()['$key?'](\"source-language\"))) {\n              \n              $writer = [\"language\", ($truthy($a = document.$attributes()['$[]'](\"source-language\")) ? $a : \"text\")];\n              $send(attributes, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];}\n          } else {\n            \n            $writer = [\"language\", language];\n            $send(attributes, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];\n          };\n          if ($truthy(attributes['$key?'](\"linenums\"))) {\n          } else if ($truthy(($truthy($a = attributes['$key?'](\"linenums-option\")) ? $a : document.$attributes()['$key?'](\"source-linenums-option\")))) {\n            \n            $writer = [\"linenums\", \"\"];\n            $send(attributes, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};\n          if ($truthy(attributes['$key?'](\"indent\"))) {\n          } else if ($truthy(document.$attributes()['$key?'](\"source-indent\"))) {\n            \n            $writer = [\"indent\", document.$attributes()['$[]'](\"source-indent\")];\n            $send(attributes, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};\n          terminator = terminator.$slice(0, 3);\n          block = self.$build_block(\"listing\", \"verbatim\", terminator, parent, reader, attributes);}\n          else if (\"pass\"['$===']($case)) {block = self.$build_block(block_context, \"raw\", terminator, parent, reader, attributes)}\n          else if (\"stem\"['$===']($case) || \"latexmath\"['$===']($case) || \"asciimath\"['$===']($case)) {\n          if (block_context['$=='](\"stem\")) {\n            \n            $writer = [\"style\", (function() {if ($truthy((explicit_stem_syntax = attributes['$[]'](2)))) {\n              if ($truthy(explicit_stem_syntax['$include?'](\"tex\"))) {\n                return \"latexmath\"\n              } else {\n                return \"asciimath\"\n              }\n            } else if ($truthy((default_stem_syntax = document.$attributes()['$[]'](\"stem\"))['$nil_or_empty?']())) {\n              return \"asciimath\"\n            } else {\n              return default_stem_syntax\n            }; return nil; })()];\n            $send(attributes, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};\n          block = self.$build_block(\"stem\", \"raw\", terminator, parent, reader, attributes);}\n          else if (\"open\"['$===']($case) || \"sidebar\"['$===']($case)) {block = self.$build_block(block_context, \"compound\", terminator, parent, reader, attributes)}\n          else if (\"table\"['$===']($case)) {\n          block_reader = $$($nesting, 'Reader').$new(reader.$read_lines_until($hash2([\"terminator\", \"skip_line_comments\"], {\"terminator\": terminator, \"skip_line_comments\": true})), reader.$cursor());\n          if ($truthy(terminator['$start_with?'](\"|\", \"!\"))) {\n          } else {\n            ($truthy($a = attributes['$[]'](\"format\")) ? $a : (($writer = [\"format\", (function() {if ($truthy(terminator['$start_with?'](\",\"))) {\n              return \"csv\"\n            } else {\n              return \"dsv\"\n            }; return nil; })()]), $send(attributes, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))\n          };\n          block = self.$next_table(block_reader, parent, attributes);}\n          else if (\"quote\"['$===']($case) || \"verse\"['$===']($case)) {\n          $$($nesting, 'AttributeList').$rekey(attributes, [nil, \"attribution\", \"citetitle\"]);\n          block = self.$build_block(block_context, (function() {if (block_context['$=='](\"verse\")) {\n            return \"verbatim\"\n          } else {\n            return \"compound\"\n          }; return nil; })(), terminator, parent, reader, attributes);}\n          else {if ($truthy(($truthy($a = block_extensions) ? (extension = extensions['$registered_for_block?'](block_context, cloaked_context)) : $a))) {\n            \n            if ($truthy((content_model = extension.$config()['$[]'](\"content_model\"))['$!='](\"skip\"))) {\n              \n              if ($truthy((pos_attrs = ($truthy($a = extension.$config()['$[]'](\"pos_attrs\")) ? $a : []))['$empty?']()['$!']())) {\n                $$($nesting, 'AttributeList').$rekey(attributes, [nil].$concat(pos_attrs))};\n              if ($truthy((default_attrs = extension.$config()['$[]'](\"default_attrs\")))) {\n                $send(default_attrs, 'each', [], (TMP_13 = function(k, v){var self = TMP_13.$$s || this, $f;\nif (k == null) k = nil;if (v == null) v = nil;\n                return ($truthy($f = attributes['$[]'](k)) ? $f : (($writer = [k, v]), $send(attributes, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))}, TMP_13.$$s = self, TMP_13.$$arity = 2, TMP_13))};\n              \n              $writer = [\"cloaked-context\", cloaked_context];\n              $send(attributes, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;};\n            block = self.$build_block(block_context, content_model, terminator, parent, reader, attributes, $hash2([\"extension\"], {\"extension\": extension}));\n            if ($truthy(block)) {\n            } else {\n              \n              attributes.$clear();\n              return nil;\n            };\n          } else {\n            self.$raise(\"\" + \"Unsupported block type \" + (block_context) + \" at \" + (reader.$line_info()))\n          }};\n        };\n        if ($truthy(source_location)) {\n          \n          $writer = [source_location];\n          $send(block, 'source_location=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];};\n        if ($truthy(attributes['$key?'](\"title\"))) {\n          \n          $writer = [attributes.$delete(\"title\")];\n          $send(block, 'title=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];};\n        \n        $writer = [attributes['$[]'](\"style\")];\n        $send(block, 'style=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        if ($truthy((block_id = ($truthy($a = block.$id()) ? $a : (($writer = [attributes['$[]'](\"id\")]), $send(block, 'id=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))))) {\n          if ($truthy(document.$register(\"refs\", [block_id, block, ($truthy($a = attributes['$[]'](\"reftext\")) ? $a : (function() {if ($truthy(block['$title?']())) {\n            return block.$title()\n          } else {\n            return nil\n          }; return nil; })())]))) {\n          } else {\n            self.$warn(\"\" + \"asciidoctor: WARNING: \" + (this_path) + \": line \" + (this_lineno) + \": id assigned to block already in use: \" + (block_id))\n          }};\n        if ($truthy(attributes['$empty?']())) {\n        } else {\n          block.$attributes().$update(attributes)\n        };\n        block.$lock_in_subs();\n        if ($truthy(block['$sub?'](\"callouts\"))) {\n          if ($truthy(self.$catalog_callouts(block.$source(), document))) {\n          } else {\n            block.$remove_sub(\"callouts\")\n          }};\n        return block;\n        } catch ($returner) { if ($returner === Opal.returner) { return $returner.$v } throw $returner; }\n      }, TMP_Parser_next_block_14.$$arity = -3);\n      Opal.defs(self, '$read_paragraph_lines', TMP_Parser_read_paragraph_lines_15 = function $$read_paragraph_lines(reader, break_at_list, opts) {\n        var self = this, $writer = nil, break_condition = nil;\n\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        \n        \n        $writer = [\"break_on_blank_lines\", true];\n        $send(opts, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"break_on_list_continuation\", true];\n        $send(opts, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        \n        $writer = [\"preserve_last_line\", true];\n        $send(opts, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        break_condition = (function() {if ($truthy(break_at_list)) {\n          \n          if ($truthy($$($nesting, 'Compliance').$block_terminates_paragraph())) {\n            return $$($nesting, 'StartOfBlockOrListProc')\n          } else {\n            return $$($nesting, 'StartOfListProc')\n          };\n        } else {\n          \n          if ($truthy($$($nesting, 'Compliance').$block_terminates_paragraph())) {\n            return $$($nesting, 'StartOfBlockProc')\n          } else {\n            return $$($nesting, 'NoOp')\n          };\n        }; return nil; })();\n        return $send(reader, 'read_lines_until', [opts], break_condition.$to_proc());\n      }, TMP_Parser_read_paragraph_lines_15.$$arity = -3);\n      Opal.defs(self, '$is_delimited_block?', TMP_Parser_is_delimited_block$q_16 = function(line, return_match_data) {\n        var $a, $b, self = this, line_len = nil, tip = nil, tl = nil, fenced_code = nil, tip_3 = nil, context = nil, masq = nil;\n\n        if (return_match_data == null) {\n          return_match_data = false;\n        }\n        \n        if ($truthy(($truthy($a = $rb_gt((line_len = line.$length()), 1)) ? $$($nesting, 'DELIMITED_BLOCK_HEADS')['$include?'](line.$slice(0, 2)) : $a))) {\n        } else {\n          return nil\n        };\n        if (line_len['$=='](2)) {\n          \n          tip = line;\n          tl = 2;\n        } else {\n          \n          if ($truthy($rb_le(line_len, 4))) {\n            \n            tip = line;\n            tl = line_len;\n          } else {\n            \n            tip = line.$slice(0, 4);\n            tl = 4;\n          };\n          fenced_code = false;\n          if ($truthy($$($nesting, 'Compliance').$markdown_syntax())) {\n            \n            tip_3 = (function() {if (tl['$=='](4)) {\n              return tip.$chop()\n            } else {\n              return tip\n            }; return nil; })();\n            if (tip_3['$=='](\"```\")) {\n              \n              if ($truthy((($a = tl['$=='](4)) ? tip['$end_with?'](\"`\") : tl['$=='](4)))) {\n                return nil};\n              tip = tip_3;\n              tl = 3;\n              fenced_code = true;};};\n          if ($truthy((($a = tl['$=='](3)) ? fenced_code['$!']() : tl['$=='](3)))) {\n            return nil};\n        };\n        if ($truthy($$($nesting, 'DELIMITED_BLOCKS')['$key?'](tip))) {\n          if ($truthy(($truthy($a = $rb_lt(tl, 4)) ? $a : tl['$=='](line_len)))) {\n            if ($truthy(return_match_data)) {\n              \n              $b = $$($nesting, 'DELIMITED_BLOCKS')['$[]'](tip), $a = Opal.to_ary($b), (context = ($a[0] == null ? nil : $a[0])), (masq = ($a[1] == null ? nil : $a[1])), $b;\n              return $$($nesting, 'BlockMatchData').$new(context, masq, tip, tip);\n            } else {\n              return true\n            }\n          } else if (((\"\" + (tip)) + ($rb_times(tip['$[]']($range(-1, -1, false)), $rb_minus(line_len, tl))))['$=='](line)) {\n            if ($truthy(return_match_data)) {\n              \n              $b = $$($nesting, 'DELIMITED_BLOCKS')['$[]'](tip), $a = Opal.to_ary($b), (context = ($a[0] == null ? nil : $a[0])), (masq = ($a[1] == null ? nil : $a[1])), $b;\n              return $$($nesting, 'BlockMatchData').$new(context, masq, tip, line);\n            } else {\n              return true\n            }\n          } else {\n            return nil\n          }\n        } else {\n          return nil\n        };\n      }, TMP_Parser_is_delimited_block$q_16.$$arity = -2);\n      Opal.defs(self, '$build_block', TMP_Parser_build_block_17 = function $$build_block(block_context, content_model, terminator, parent, reader, attributes, options) {\n        var $a, $b, self = this, skip_processing = nil, parse_as_content_model = nil, lines = nil, block_reader = nil, indent = nil, tab_size = nil, extension = nil, block = nil, $writer = nil;\n\n        if (options == null) {\n          options = $hash2([], {});\n        }\n        \n        if (content_model['$=='](\"skip\")) {\n          $a = [true, \"simple\"], (skip_processing = $a[0]), (parse_as_content_model = $a[1]), $a\n        } else if (content_model['$=='](\"raw\")) {\n          $a = [false, \"simple\"], (skip_processing = $a[0]), (parse_as_content_model = $a[1]), $a\n        } else {\n          $a = [false, content_model], (skip_processing = $a[0]), (parse_as_content_model = $a[1]), $a\n        };\n        if ($truthy(terminator['$nil?']())) {\n          \n          if (parse_as_content_model['$=='](\"verbatim\")) {\n            lines = reader.$read_lines_until($hash2([\"break_on_blank_lines\", \"break_on_list_continuation\"], {\"break_on_blank_lines\": true, \"break_on_list_continuation\": true}))\n          } else {\n            \n            if (content_model['$=='](\"compound\")) {\n              content_model = \"simple\"};\n            lines = self.$read_paragraph_lines(reader, false, $hash2([\"skip_line_comments\", \"skip_processing\"], {\"skip_line_comments\": true, \"skip_processing\": skip_processing}));\n          };\n          block_reader = nil;\n        } else if ($truthy(parse_as_content_model['$!='](\"compound\"))) {\n          \n          lines = reader.$read_lines_until($hash2([\"terminator\", \"skip_processing\"], {\"terminator\": terminator, \"skip_processing\": skip_processing}));\n          block_reader = nil;\n        } else if (terminator['$=='](false)) {\n          \n          lines = nil;\n          block_reader = reader;\n        } else {\n          \n          lines = nil;\n          block_reader = $$($nesting, 'Reader').$new(reader.$read_lines_until($hash2([\"terminator\", \"skip_processing\"], {\"terminator\": terminator, \"skip_processing\": skip_processing})), reader.$cursor());\n        };\n        if (content_model['$=='](\"verbatim\")) {\n          if ($truthy((indent = attributes['$[]'](\"indent\")))) {\n            self['$adjust_indentation!'](lines, indent, ($truthy($a = attributes['$[]'](\"tabsize\")) ? $a : parent.$document().$attributes()['$[]'](\"tabsize\")))\n          } else if ($truthy($rb_gt((tab_size = ($truthy($a = attributes['$[]'](\"tabsize\")) ? $a : parent.$document().$attributes()['$[]'](\"tabsize\")).$to_i()), 0))) {\n            self['$adjust_indentation!'](lines, nil, tab_size)}\n        } else if (content_model['$=='](\"skip\")) {\n          return nil};\n        if ($truthy((extension = options['$[]'](\"extension\")))) {\n          \n          attributes.$delete(\"style\");\n          if ($truthy((block = extension.$process_method()['$[]'](parent, ($truthy($a = block_reader) ? $a : $$($nesting, 'Reader').$new(lines)), attributes.$dup())))) {\n            \n            attributes.$replace(block.$attributes());\n            if ($truthy((($a = block.$content_model()['$=='](\"compound\")) ? (lines = block.$lines())['$nil_or_empty?']()['$!']() : block.$content_model()['$=='](\"compound\")))) {\n              \n              content_model = \"compound\";\n              block_reader = $$($nesting, 'Reader').$new(lines);};\n          } else {\n            return nil\n          };\n        } else {\n          block = $$($nesting, 'Block').$new(parent, block_context, $hash2([\"content_model\", \"source\", \"attributes\"], {\"content_model\": content_model, \"source\": lines, \"attributes\": attributes}))\n        };\n        if ($truthy(($truthy($a = ($truthy($b = attributes['$key?'](\"title\")) ? block.$context()['$!='](\"admonition\") : $b)) ? parent.$document().$attributes()['$key?'](\"\" + (block.$context()) + \"-caption\") : $a))) {\n          \n          \n          $writer = [attributes.$delete(\"title\")];\n          $send(block, 'title=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          block.$assign_caption(attributes.$delete(\"caption\"));};\n        if (content_model['$=='](\"compound\")) {\n          self.$parse_blocks(block_reader, block)};\n        return block;\n      }, TMP_Parser_build_block_17.$$arity = -7);\n      Opal.defs(self, '$parse_blocks', TMP_Parser_parse_blocks_18 = function $$parse_blocks(reader, parent) {\n        var $a, $b, $c, self = this, block = nil;\n\n        while ($truthy(($truthy($b = ($truthy($c = (block = self.$next_block(reader, parent))) ? parent['$<<'](block) : $c)) ? $b : reader['$has_more_lines?']()))) {\n          \n        }\n      }, TMP_Parser_parse_blocks_18.$$arity = 2);\n      Opal.defs(self, '$next_item_list', TMP_Parser_next_item_list_19 = function $$next_item_list(reader, list_type, parent) {\n        var $a, $b, self = this, list_block = nil, $writer = nil, match = nil, marker = nil, this_item_level = nil, ancestor = nil, list_item = nil;\n\n        \n        list_block = $$($nesting, 'List').$new(parent, list_type);\n        if (parent.$context()['$=='](list_type)) {\n          \n          $writer = [$rb_plus(parent.$level(), 1)];\n          $send(list_block, 'level=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];\n        } else {\n          \n          $writer = [1];\n          $send(list_block, 'level=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];\n        };\n        while ($truthy(($truthy($b = reader['$has_more_lines?']()) ? (match = $$($nesting, 'ListRxMap')['$[]'](list_type).$match(reader.$peek_line())) : $b))) {\n          \n          marker = self.$resolve_list_marker(list_type, match['$[]'](1));\n          if ($truthy(($truthy($b = list_block['$items?']()) ? marker['$!='](list_block.$items()['$[]'](0).$marker()) : $b))) {\n            \n            this_item_level = $rb_plus(list_block.$level(), 1);\n            ancestor = parent;\n            while (ancestor.$context()['$=='](list_type)) {\n              \n              if (marker['$=='](ancestor.$items()['$[]'](0).$marker())) {\n                \n                this_item_level = ancestor.$level();\n                break;;};\n              ancestor = ancestor.$parent();\n            };\n          } else {\n            this_item_level = list_block.$level()\n          };\n          if ($truthy(($truthy($b = list_block['$items?']()['$!']()) ? $b : this_item_level['$=='](list_block.$level())))) {\n            list_item = self.$next_list_item(reader, list_block, match)\n          } else if ($truthy($rb_lt(this_item_level, list_block.$level()))) {\n            break;\n          } else if ($truthy($rb_gt(this_item_level, list_block.$level()))) {\n            list_block.$items()['$[]'](-1)['$<<'](self.$next_block(reader, list_block))};\n          if ($truthy(list_item)) {\n            list_block['$<<'](list_item)};\n          list_item = nil;\n          if ($truthy($b = reader.$skip_blank_lines())) {\n            $b\n          } else {\n            break;\n          };\n        };\n        return list_block;\n      }, TMP_Parser_next_item_list_19.$$arity = 3);\n      Opal.defs(self, '$catalog_callouts', TMP_Parser_catalog_callouts_21 = function $$catalog_callouts(text, document) {\n        var TMP_20, self = this, found = nil;\n\n        \n        found = false;\n        if ($truthy(text['$include?'](\"<\"))) {\n          $send(text, 'scan', [$$($nesting, 'CalloutScanRx')], (TMP_20 = function(){var self = TMP_20.$$s || this, $a, $b, captured = nil, num = nil;\n\n          \n            $a = [(($b = $gvars['~']) === nil ? nil : $b['$[]'](0)), (($b = $gvars['~']) === nil ? nil : $b['$[]'](2))], (captured = $a[0]), (num = $a[1]), $a;\n            if ($truthy(captured['$start_with?'](\"\\\\\"))) {\n            } else {\n              document.$callouts().$register(num)\n            };\n            return (found = true);}, TMP_20.$$s = self, TMP_20.$$arity = 0, TMP_20))};\n        return found;\n      }, TMP_Parser_catalog_callouts_21.$$arity = 2);\n      Opal.defs(self, '$catalog_inline_anchors', TMP_Parser_catalog_inline_anchors_23 = function $$catalog_inline_anchors(text, block, document) {\n        var $a, TMP_22, self = this;\n\n        \n        if ($truthy(($truthy($a = text['$include?'](\"[[\")) ? $a : text['$include?'](\"or:\")))) {\n          $send(text, 'scan', [$$($nesting, 'InlineAnchorScanRx')], (TMP_22 = function(){var self = TMP_22.$$s || this, $b, id = nil, reftext = nil;\n\n          \n            if ($truthy((id = (($b = $gvars['~']) === nil ? nil : $b['$[]'](1))))) {\n              if ($truthy((reftext = (($b = $gvars['~']) === nil ? nil : $b['$[]'](2))))) {\n                if ($truthy(($truthy($b = reftext['$include?']($$($nesting, 'ATTR_REF_HEAD'))) ? (reftext = document.$sub_attributes(reftext))['$empty?']() : $b))) {\n                  return nil;}}\n            } else {\n              \n              id = (($b = $gvars['~']) === nil ? nil : $b['$[]'](3));\n              if ($truthy((reftext = (($b = $gvars['~']) === nil ? nil : $b['$[]'](4))))) {\n                \n                if ($truthy(reftext['$include?'](\"]\"))) {\n                  reftext = reftext.$gsub(\"\\\\]\", \"]\")};\n                if ($truthy(($truthy($b = reftext['$include?']($$($nesting, 'ATTR_REF_HEAD'))) ? (reftext = document.$sub_attributes(reftext))['$empty?']() : $b))) {\n                  return nil;};};\n            };\n            if ($truthy(document.$register(\"refs\", [id, $$($nesting, 'Inline').$new(block, \"anchor\", reftext, $hash2([\"type\", \"id\"], {\"type\": \"ref\", \"id\": id})), reftext]))) {\n              return nil\n            } else {\n              return self.$warn(\"\" + \"asciidoctor: WARNING: \" + (document.$reader().$path()) + \": id assigned to anchor already in use: \" + (id))\n            };}, TMP_22.$$s = self, TMP_22.$$arity = 0, TMP_22))};\n        return nil;\n      }, TMP_Parser_catalog_inline_anchors_23.$$arity = 3);\n      Opal.defs(self, '$catalog_inline_biblio_anchor', TMP_Parser_catalog_inline_biblio_anchor_24 = function $$catalog_inline_biblio_anchor(text, block, document) {\n        var $a, $b, self = this, id = nil, reftext = nil;\n\n        \n        if ($truthy($$($nesting, 'InlineBiblioAnchorRx')['$=~'](text))) {\n          if ($truthy(document.$register(\"refs\", [(id = (($a = $gvars['~']) === nil ? nil : $a['$[]'](1))), $$($nesting, 'Inline').$new(block, \"anchor\", (reftext = \"\" + \"[\" + (($truthy($a = (($b = $gvars['~']) === nil ? nil : $b['$[]'](2))) ? $a : id)) + \"]\"), $hash2([\"type\", \"id\"], {\"type\": \"bibref\", \"id\": id})), reftext]))) {\n          } else {\n            self.$warn(\"\" + \"asciidoctor: WARNING: \" + (document.$reader().$path()) + \": id assigned to bibliography anchor already in use: \" + (id))\n          }};\n        return nil;\n      }, TMP_Parser_catalog_inline_biblio_anchor_24.$$arity = 3);\n      Opal.defs(self, '$next_description_list', TMP_Parser_next_description_list_25 = function $$next_description_list(reader, match, parent) {\n        var $a, $b, $c, self = this, list_block = nil, previous_pair = nil, sibling_pattern = nil, term = nil, item = nil;\n\n        \n        list_block = $$($nesting, 'List').$new(parent, \"dlist\");\n        previous_pair = nil;\n        sibling_pattern = $$($nesting, 'DescriptionListSiblingRx')['$[]'](match['$[]'](2));\n        while ($truthy(($truthy($b = match) ? $b : ($truthy($c = reader['$has_more_lines?']()) ? (match = sibling_pattern.$match(reader.$peek_line())) : $c)))) {\n          \n          $c = self.$next_list_item(reader, list_block, match, sibling_pattern), $b = Opal.to_ary($c), (term = ($b[0] == null ? nil : $b[0])), (item = ($b[1] == null ? nil : $b[1])), $c;\n          if ($truthy(($truthy($b = previous_pair) ? previous_pair['$[]'](-1)['$!']() : $b))) {\n            \n            previous_pair.$pop();\n            previous_pair['$[]'](0)['$<<'](term);\n            previous_pair['$<<'](item);\n          } else {\n            list_block.$items()['$<<']((previous_pair = [[term], item]))\n          };\n          match = nil;\n        };\n        return list_block;\n      }, TMP_Parser_next_description_list_25.$$arity = 3);\n      Opal.defs(self, '$next_list_item', TMP_Parser_next_list_item_26 = function $$next_list_item(reader, list_block, match, sibling_trait) {\n        var $a, $b, $c, self = this, list_type = nil, list_term = nil, list_item = nil, has_text = nil, text = nil, checkbox = nil, checked = nil, $writer = nil, list_item_reader = nil, comment_lines = nil, subsequent_line = nil, continuation_connects_first_block = nil, content_adjacent = nil, options = nil, block = nil;\n\n        if (sibling_trait == null) {\n          sibling_trait = nil;\n        }\n        \n        if ((list_type = list_block.$context())['$=='](\"dlist\")) {\n          \n          list_term = $$($nesting, 'ListItem').$new(list_block, match['$[]'](1));\n          list_item = $$($nesting, 'ListItem').$new(list_block, match['$[]'](3));\n          has_text = match['$[]'](3)['$nil_or_empty?']()['$!']();\n        } else {\n          \n          text = match['$[]'](2);\n          checkbox = false;\n          if ($truthy((($a = list_type['$=='](\"ulist\")) ? text['$start_with?'](\"[\") : list_type['$=='](\"ulist\")))) {\n            if ($truthy(text['$start_with?'](\"[ ] \"))) {\n              \n              checkbox = true;\n              checked = false;\n              text = text['$[]']($range(3, -1, false)).$lstrip();\n            } else if ($truthy(text['$start_with?'](\"[x] \", \"[*] \"))) {\n              \n              checkbox = true;\n              checked = true;\n              text = text['$[]']($range(3, -1, false)).$lstrip();}};\n          list_item = $$($nesting, 'ListItem').$new(list_block, text);\n          if ($truthy(checkbox)) {\n            \n            \n            $writer = [\"checklist-option\", \"\"];\n            $send(list_block.$attributes(), '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            \n            $writer = [\"checkbox\", \"\"];\n            $send(list_item.$attributes(), '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            if ($truthy(checked)) {\n              \n              $writer = [\"checked\", \"\"];\n              $send(list_item.$attributes(), '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];};};\n          sibling_trait = ($truthy($a = sibling_trait) ? $a : self.$resolve_list_marker(list_type, match['$[]'](1), list_block.$items().$size(), true, reader));\n          \n          $writer = [sibling_trait];\n          $send(list_item, 'marker=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          has_text = true;\n        };\n        reader.$shift();\n        list_item_reader = $$($nesting, 'Reader').$new(self.$read_lines_for_list_item(reader, list_type, sibling_trait, has_text), reader.$cursor());\n        if ($truthy(list_item_reader['$has_more_lines?']())) {\n          \n          comment_lines = list_item_reader.$skip_line_comments();\n          if ($truthy((subsequent_line = list_item_reader.$peek_line()))) {\n            \n            if ($truthy(comment_lines['$empty?']())) {\n            } else {\n              list_item_reader.$unshift_lines(comment_lines)\n            };\n            if ($truthy((continuation_connects_first_block = subsequent_line['$empty?']()))) {\n              content_adjacent = false\n            } else {\n              \n              content_adjacent = true;\n              if (list_type['$=='](\"dlist\")) {\n              } else {\n                has_text = false\n              };\n            };\n          } else {\n            \n            continuation_connects_first_block = false;\n            content_adjacent = false;\n          };\n          options = $hash2([\"text\"], {\"text\": has_text['$!']()});\n          while ($truthy(($truthy($b = ($truthy($c = (block = self.$next_block(list_item_reader, list_item, $hash2([], {}), options))) ? list_item['$<<'](block) : $c)) ? $b : list_item_reader['$has_more_lines?']()))) {\n            \n          };\n          list_item.$fold_first(continuation_connects_first_block, content_adjacent);};\n        if (list_type['$=='](\"dlist\")) {\n          if ($truthy(($truthy($a = list_item['$text?']()) ? $a : list_item['$blocks?']()))) {\n            return [list_term, list_item]\n          } else {\n            return [list_term, nil]\n          }\n        } else {\n          return list_item\n        };\n      }, TMP_Parser_next_list_item_26.$$arity = -4);\n      Opal.defs(self, '$read_lines_for_list_item', TMP_Parser_read_lines_for_list_item_32 = function $$read_lines_for_list_item(reader, list_type, sibling_trait, has_text) {\n        var $a, $b, $c, TMP_27, TMP_28, TMP_29, TMP_30, TMP_31, self = this, buffer = nil, continuation = nil, within_nested_list = nil, detached_continuation = nil, this_line = nil, prev_line = nil, $writer = nil, match = nil, nested_list_type = nil;\n\n        if (sibling_trait == null) {\n          sibling_trait = nil;\n        }\n        if (has_text == null) {\n          has_text = true;\n        }\n        \n        buffer = [];\n        continuation = \"inactive\";\n        within_nested_list = false;\n        detached_continuation = nil;\n        while ($truthy(reader['$has_more_lines?']())) {\n          \n          this_line = reader.$read_line();\n          if ($truthy(self['$is_sibling_list_item?'](this_line, list_type, sibling_trait))) {\n            break;};\n          prev_line = (function() {if ($truthy(buffer['$empty?']())) {\n            return nil\n          } else {\n            return buffer['$[]'](-1)\n          }; return nil; })();\n          if (prev_line['$==']($$($nesting, 'LIST_CONTINUATION'))) {\n            \n            if (continuation['$=='](\"inactive\")) {\n              \n              continuation = \"active\";\n              has_text = true;\n              if ($truthy(within_nested_list)) {\n              } else {\n                \n                $writer = [-1, \"\"];\n                $send(buffer, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];\n              };};\n            if (this_line['$==']($$($nesting, 'LIST_CONTINUATION'))) {\n              \n              if ($truthy(continuation['$!='](\"frozen\"))) {\n                \n                continuation = \"frozen\";\n                buffer['$<<'](this_line);};\n              this_line = nil;\n              continue;;};};\n          if ($truthy((match = self['$is_delimited_block?'](this_line, true)))) {\n            if (continuation['$=='](\"active\")) {\n              \n              buffer['$<<'](this_line);\n              buffer.$concat(reader.$read_lines_until($hash2([\"terminator\", \"read_last_line\"], {\"terminator\": match.$terminator(), \"read_last_line\": true})));\n              continuation = \"inactive\";\n            } else {\n              break;\n            }\n          } else if ($truthy(($truthy($b = (($c = list_type['$=='](\"dlist\")) ? continuation['$!='](\"active\") : list_type['$=='](\"dlist\"))) ? $$($nesting, 'BlockAttributeLineRx')['$match?'](this_line) : $b))) {\n            break;\n          } else if ($truthy((($b = continuation['$=='](\"active\")) ? this_line['$empty?']()['$!']() : continuation['$=='](\"active\")))) {\n            if ($truthy($$($nesting, 'LiteralParagraphRx')['$match?'](this_line))) {\n              \n              reader.$unshift_line(this_line);\n              buffer.$concat($send(reader, 'read_lines_until', [$hash2([\"preserve_last_line\", \"break_on_blank_lines\", \"break_on_list_continuation\"], {\"preserve_last_line\": true, \"break_on_blank_lines\": true, \"break_on_list_continuation\": true})], (TMP_27 = function(line){var self = TMP_27.$$s || this, $d;\nif (line == null) line = nil;\n              return (($d = list_type['$=='](\"dlist\")) ? self['$is_sibling_list_item?'](line, list_type, sibling_trait) : list_type['$=='](\"dlist\"))}, TMP_27.$$s = self, TMP_27.$$arity = 1, TMP_27)));\n              continuation = \"inactive\";\n            } else if ($truthy(($truthy($b = ($truthy($c = $$($nesting, 'BlockTitleRx')['$match?'](this_line)) ? $c : $$($nesting, 'BlockAttributeLineRx')['$match?'](this_line))) ? $b : $$($nesting, 'AttributeEntryRx')['$match?'](this_line)))) {\n              buffer['$<<'](this_line)\n            } else {\n              \n              if ($truthy((nested_list_type = $send((function() {if ($truthy(within_nested_list)) {\n                return [\"dlist\"]\n              } else {\n                return $$($nesting, 'NESTABLE_LIST_CONTEXTS')\n              }; return nil; })(), 'find', [], (TMP_28 = function(ctx){var self = TMP_28.$$s || this;\nif (ctx == null) ctx = nil;\n              return $$($nesting, 'ListRxMap')['$[]'](ctx)['$match?'](this_line)}, TMP_28.$$s = self, TMP_28.$$arity = 1, TMP_28))))) {\n                \n                within_nested_list = true;\n                if ($truthy((($b = nested_list_type['$=='](\"dlist\")) ? (($c = $gvars['~']) === nil ? nil : $c['$[]'](3))['$nil_or_empty?']() : nested_list_type['$=='](\"dlist\")))) {\n                  has_text = false};};\n              buffer['$<<'](this_line);\n              continuation = \"inactive\";\n            }\n          } else if ($truthy(($truthy($b = prev_line) ? prev_line['$empty?']() : $b))) {\n            \n            if ($truthy(this_line['$empty?']())) {\n              \n              if ($truthy((this_line = ($truthy($b = reader.$skip_blank_lines()) ? reader.$read_line() : $b)))) {\n              } else {\n                break;\n              };\n              if ($truthy(self['$is_sibling_list_item?'](this_line, list_type, sibling_trait))) {\n                break;};};\n            if (this_line['$==']($$($nesting, 'LIST_CONTINUATION'))) {\n              \n              detached_continuation = buffer.$size();\n              buffer['$<<'](this_line);\n            } else if ($truthy(has_text)) {\n              if ($truthy(self['$is_sibling_list_item?'](this_line, list_type, sibling_trait))) {\n                break;\n              } else if ($truthy((nested_list_type = $send($$($nesting, 'NESTABLE_LIST_CONTEXTS'), 'find', [], (TMP_29 = function(ctx){var self = TMP_29.$$s || this;\nif (ctx == null) ctx = nil;\n              return $$($nesting, 'ListRxMap')['$[]'](ctx)['$=~'](this_line)}, TMP_29.$$s = self, TMP_29.$$arity = 1, TMP_29))))) {\n                \n                buffer['$<<'](this_line);\n                within_nested_list = true;\n                if ($truthy((($b = nested_list_type['$=='](\"dlist\")) ? (($c = $gvars['~']) === nil ? nil : $c['$[]'](3))['$nil_or_empty?']() : nested_list_type['$=='](\"dlist\")))) {\n                  has_text = false};\n              } else if ($truthy($$($nesting, 'LiteralParagraphRx')['$match?'](this_line))) {\n                \n                reader.$unshift_line(this_line);\n                buffer.$concat($send(reader, 'read_lines_until', [$hash2([\"preserve_last_line\", \"break_on_blank_lines\", \"break_on_list_continuation\"], {\"preserve_last_line\": true, \"break_on_blank_lines\": true, \"break_on_list_continuation\": true})], (TMP_30 = function(line){var self = TMP_30.$$s || this, $d;\nif (line == null) line = nil;\n                return (($d = list_type['$=='](\"dlist\")) ? self['$is_sibling_list_item?'](line, list_type, sibling_trait) : list_type['$=='](\"dlist\"))}, TMP_30.$$s = self, TMP_30.$$arity = 1, TMP_30)));\n              } else {\n                break;\n              }\n            } else {\n              \n              if ($truthy(within_nested_list)) {\n              } else {\n                buffer.$pop()\n              };\n              buffer['$<<'](this_line);\n              has_text = true;\n            };\n          } else {\n            \n            if ($truthy(this_line['$empty?']()['$!']())) {\n              has_text = true};\n            if ($truthy((nested_list_type = $send((function() {if ($truthy(within_nested_list)) {\n              return [\"dlist\"]\n            } else {\n              return $$($nesting, 'NESTABLE_LIST_CONTEXTS')\n            }; return nil; })(), 'find', [], (TMP_31 = function(ctx){var self = TMP_31.$$s || this;\nif (ctx == null) ctx = nil;\n            return $$($nesting, 'ListRxMap')['$[]'](ctx)['$=~'](this_line)}, TMP_31.$$s = self, TMP_31.$$arity = 1, TMP_31))))) {\n              \n              within_nested_list = true;\n              if ($truthy((($b = nested_list_type['$=='](\"dlist\")) ? (($c = $gvars['~']) === nil ? nil : $c['$[]'](3))['$nil_or_empty?']() : nested_list_type['$=='](\"dlist\")))) {\n                has_text = false};};\n            buffer['$<<'](this_line);\n          };\n          this_line = nil;\n        };\n        if ($truthy(this_line)) {\n          reader.$unshift_line(this_line)};\n        if ($truthy(detached_continuation)) {\n          buffer.$delete_at(detached_continuation)};\n        while ($truthy(($truthy($b = buffer['$empty?']()['$!']()) ? buffer['$[]'](-1)['$empty?']() : $b))) {\n          buffer.$pop()\n        };\n        if ($truthy(($truthy($a = buffer['$empty?']()['$!']()) ? buffer['$[]'](-1)['$==']($$($nesting, 'LIST_CONTINUATION')) : $a))) {\n          buffer.$pop()};\n        return buffer;\n      }, TMP_Parser_read_lines_for_list_item_32.$$arity = -3);\n      Opal.defs(self, '$initialize_section', TMP_Parser_initialize_section_33 = function $$initialize_section(reader, parent, attributes) {\n        var $a, $b, self = this, document = nil, source_location = nil, sect_id = nil, sect_reftext = nil, sect_title = nil, sect_level = nil, atx = nil, $writer = nil, style = nil, sect_name = nil, sect_special = nil, sect_numbered_force = nil, $case = nil, section = nil, id = nil;\n\n        if (attributes == null) {\n          attributes = $hash2([], {});\n        }\n        \n        document = parent.$document();\n        if ($truthy(document.$sourcemap())) {\n          source_location = reader.$cursor()};\n        $b = self.$parse_section_title(reader, document), $a = Opal.to_ary($b), (sect_id = ($a[0] == null ? nil : $a[0])), (sect_reftext = ($a[1] == null ? nil : $a[1])), (sect_title = ($a[2] == null ? nil : $a[2])), (sect_level = ($a[3] == null ? nil : $a[3])), (atx = ($a[4] == null ? nil : $a[4])), $b;\n        if ($truthy(sect_reftext)) {\n          \n          $writer = [\"reftext\", sect_reftext];\n          $send(attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];\n        } else if ($truthy(attributes['$key?'](\"reftext\"))) {\n          sect_reftext = attributes['$[]'](\"reftext\")};\n        style = (function() {if ($truthy(attributes['$[]'](1))) {\n          \n          return self.$parse_style_attribute(attributes, reader);\n        } else {\n          return nil\n        }; return nil; })();\n        if ($truthy(style)) {\n          if ($truthy((($a = style['$=='](\"abstract\")) ? document.$doctype()['$=='](\"book\") : style['$=='](\"abstract\")))) {\n            $a = [\"chapter\", 1], (sect_name = $a[0]), (sect_level = $a[1]), $a\n          } else {\n            \n            $a = [style, true], (sect_name = $a[0]), (sect_special = $a[1]), $a;\n            if (sect_level['$=='](0)) {\n              sect_level = 1};\n            sect_numbered_force = style['$=='](\"appendix\");\n          }\n        } else {\n          $case = document.$doctype();\n          if (\"book\"['$===']($case)) {sect_name = (function() {if (sect_level['$=='](0)) {\n            return \"part\"\n          } else {\n            \n            if (sect_level['$=='](1)) {\n              return \"chapter\"\n            } else {\n              return \"section\"\n            };\n          }; return nil; })()}\n          else if (\"manpage\"['$===']($case)) {if (sect_title.$casecmp(\"synopsis\")['$=='](0)) {\n            $a = [\"synopsis\", true], (sect_name = $a[0]), (sect_special = $a[1]), $a\n          } else {\n            sect_name = \"section\"\n          }}\n          else {sect_name = \"section\"}\n        };\n        section = $$($nesting, 'Section').$new(parent, sect_level, false);\n        $a = [sect_id, sect_title, sect_name, source_location], section['$id=']($a[0]), section['$title=']($a[1]), section['$sectname=']($a[2]), section['$source_location=']($a[3]), $a;\n        if ($truthy(sect_special)) {\n          \n          \n          $writer = [true];\n          $send(section, 'special=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          if ($truthy(sect_numbered_force)) {\n            \n            $writer = [true];\n            $send(section, 'numbered=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};\n        } else if ($truthy(($truthy($a = $rb_gt(sect_level, 0)) ? document.$attributes()['$key?'](\"sectnums\") : $a))) {\n          \n          $writer = [(function() {if ($truthy(section.$special())) {\n            \n            return (($a = parent.$context()['$=='](\"section\")) ? parent.$numbered() : parent.$context()['$=='](\"section\"));\n          } else {\n            return true\n          }; return nil; })()];\n          $send(section, 'numbered=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];};\n        if ($truthy((id = ($truthy($a = section.$id()) ? $a : (($writer = [($truthy($b = attributes['$[]'](\"id\")) ? $b : (function() {if ($truthy(document.$attributes()['$key?'](\"sectids\"))) {\n          \n          return $$($nesting, 'Section').$generate_id(section.$title(), document);\n        } else {\n          return nil\n        }; return nil; })())]), $send(section, 'id=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))))) {\n          if ($truthy(document.$register(\"refs\", [id, section, ($truthy($a = sect_reftext) ? $a : section.$title())]))) {\n          } else {\n            self.$warn(\"\" + \"asciidoctor: WARNING: \" + (reader.$path()) + \": line \" + ($rb_minus(reader.$lineno(), (function() {if ($truthy(atx)) {\n              return 1\n            } else {\n              return 2\n            }; return nil; })())) + \": id assigned to section already in use: \" + (id))\n          }};\n        section.$update_attributes(attributes);\n        reader.$skip_blank_lines();\n        return section;\n      }, TMP_Parser_initialize_section_33.$$arity = -3);\n      Opal.defs(self, '$is_next_line_section?', TMP_Parser_is_next_line_section$q_34 = function(reader, attributes) {\n        var $a, $b, self = this, style = nil;\n\n        if ($truthy(($truthy($a = ($truthy($b = (style = attributes['$[]'](1))) ? style['$start_with?'](\"discrete\", \"float\") : $b)) ? $$($nesting, 'DiscreteHeadingStyleRx')['$match?'](style) : $a))) {\n          return nil\n        } else if ($truthy(reader['$has_more_lines?']())) {\n          if ($truthy($$($nesting, 'Compliance').$underline_style_section_titles())) {\n            return $send(self, 'is_section_title?', Opal.to_a(reader.$peek_lines(2, ($truthy($a = style) ? style['$=='](\"comment\") : $a))))\n          } else {\n            return self['$atx_section_title?'](reader.$peek_line())\n          }\n        } else {\n          return nil\n        }\n      }, TMP_Parser_is_next_line_section$q_34.$$arity = 2);\n      Opal.defs(self, '$is_next_line_doctitle?', TMP_Parser_is_next_line_doctitle$q_35 = function(reader, attributes, leveloffset) {\n        var $a, self = this, sect_level = nil;\n\n        if ($truthy(leveloffset)) {\n          return ($truthy($a = (sect_level = self['$is_next_line_section?'](reader, attributes))) ? $rb_plus(sect_level, leveloffset.$to_i())['$=='](0) : $a)\n        } else {\n          return self['$is_next_line_section?'](reader, attributes)['$=='](0)\n        }\n      }, TMP_Parser_is_next_line_doctitle$q_35.$$arity = 3);\n      Opal.defs(self, '$is_section_title?', TMP_Parser_is_section_title$q_36 = function(line1, line2) {\n        var $a, self = this;\n\n        if (line2 == null) {\n          line2 = nil;\n        }\n        return ($truthy($a = self['$atx_section_title?'](line1)) ? $a : (function() {if ($truthy(line2['$nil_or_empty?']())) {\n          return nil\n        } else {\n          return self['$setext_section_title?'](line1, line2)\n        }; return nil; })())\n      }, TMP_Parser_is_section_title$q_36.$$arity = -2);\n      Opal.defs(self, '$atx_section_title?', TMP_Parser_atx_section_title$q_37 = function(line) {\n        var $a, self = this;\n\n        if ($truthy((function() {if ($truthy($$($nesting, 'Compliance').$markdown_syntax())) {\n          \n          return ($truthy($a = line['$start_with?'](\"=\", \"#\")) ? $$($nesting, 'ExtAtxSectionTitleRx')['$=~'](line) : $a);\n        } else {\n          \n          return ($truthy($a = line['$start_with?'](\"=\")) ? $$($nesting, 'AtxSectionTitleRx')['$=~'](line) : $a);\n        }; return nil; })())) {\n          return $rb_minus((($a = $gvars['~']) === nil ? nil : $a['$[]'](1)).$length(), 1)\n        } else {\n          return nil\n        }\n      }, TMP_Parser_atx_section_title$q_37.$$arity = 1);\n      Opal.defs(self, '$setext_section_title?', TMP_Parser_setext_section_title$q_38 = function(line1, line2) {\n        var $a, $b, $c, self = this, level = nil, line2_ch1 = nil, line2_len = nil;\n\n        if ($truthy(($truthy($a = ($truthy($b = ($truthy($c = (level = $$($nesting, 'SETEXT_SECTION_LEVELS')['$[]']((line2_ch1 = line2.$chr())))) ? $rb_times(line2_ch1, (line2_len = line2.$length()))['$=='](line2) : $c)) ? $$($nesting, 'SetextSectionTitleRx')['$match?'](line1) : $b)) ? $rb_lt($rb_minus(self.$line_length(line1), line2_len).$abs(), 2) : $a))) {\n          return level\n        } else {\n          return nil\n        }\n      }, TMP_Parser_setext_section_title$q_38.$$arity = 2);\n      Opal.defs(self, '$parse_section_title', TMP_Parser_parse_section_title_39 = function $$parse_section_title(reader, document) {\n        var $a, $b, $c, $d, $e, self = this, sect_id = nil, sect_reftext = nil, line1 = nil, sect_level = nil, sect_title = nil, atx = nil, line2 = nil, line2_ch1 = nil, line2_len = nil;\n\n        \n        sect_id = (sect_reftext = nil);\n        line1 = reader.$read_line();\n        if ($truthy((function() {if ($truthy($$($nesting, 'Compliance').$markdown_syntax())) {\n          \n          return ($truthy($a = line1['$start_with?'](\"=\", \"#\")) ? $$($nesting, 'ExtAtxSectionTitleRx')['$=~'](line1) : $a);\n        } else {\n          \n          return ($truthy($a = line1['$start_with?'](\"=\")) ? $$($nesting, 'AtxSectionTitleRx')['$=~'](line1) : $a);\n        }; return nil; })())) {\n          \n          $a = [$rb_minus((($b = $gvars['~']) === nil ? nil : $b['$[]'](1)).$length(), 1), (($b = $gvars['~']) === nil ? nil : $b['$[]'](2)), true], (sect_level = $a[0]), (sect_title = $a[1]), (atx = $a[2]), $a;\n          if ($truthy(($truthy($a = ($truthy($b = sect_title['$end_with?'](\"]]\")) ? $$($nesting, 'InlineSectionAnchorRx')['$=~'](sect_title) : $b)) ? (($b = $gvars['~']) === nil ? nil : $b['$[]'](1))['$!']() : $a))) {\n            $a = [sect_title.$slice(0, $rb_minus(sect_title.$length(), (($b = $gvars['~']) === nil ? nil : $b['$[]'](0)).$length())), (($b = $gvars['~']) === nil ? nil : $b['$[]'](2)), (($b = $gvars['~']) === nil ? nil : $b['$[]'](3))], (sect_title = $a[0]), (sect_id = $a[1]), (sect_reftext = $a[2]), $a};\n        } else if ($truthy(($truthy($a = ($truthy($b = ($truthy($c = ($truthy($d = ($truthy($e = $$($nesting, 'Compliance').$underline_style_section_titles()) ? (line2 = reader.$peek_line(true)) : $e)) ? (sect_level = $$($nesting, 'SETEXT_SECTION_LEVELS')['$[]']((line2_ch1 = line2.$chr()))) : $d)) ? $rb_times(line2_ch1, (line2_len = line2.$length()))['$=='](line2) : $c)) ? (sect_title = ($truthy($c = $$($nesting, 'SetextSectionTitleRx')['$=~'](line1)) ? (($d = $gvars['~']) === nil ? nil : $d['$[]'](1)) : $c)) : $b)) ? $rb_lt($rb_minus(self.$line_length(line1), line2_len).$abs(), 2) : $a))) {\n          \n          atx = false;\n          if ($truthy(($truthy($a = ($truthy($b = sect_title['$end_with?'](\"]]\")) ? $$($nesting, 'InlineSectionAnchorRx')['$=~'](sect_title) : $b)) ? (($b = $gvars['~']) === nil ? nil : $b['$[]'](1))['$!']() : $a))) {\n            $a = [sect_title.$slice(0, $rb_minus(sect_title.$length(), (($b = $gvars['~']) === nil ? nil : $b['$[]'](0)).$length())), (($b = $gvars['~']) === nil ? nil : $b['$[]'](2)), (($b = $gvars['~']) === nil ? nil : $b['$[]'](3))], (sect_title = $a[0]), (sect_id = $a[1]), (sect_reftext = $a[2]), $a};\n          reader.$shift();\n        } else {\n          self.$raise(\"\" + \"Unrecognized section at \" + (reader.$prev_line_info()))\n        };\n        if ($truthy(document['$attr?'](\"leveloffset\"))) {\n          sect_level = $rb_plus(sect_level, document.$attr(\"leveloffset\").$to_i())};\n        return [sect_id, sect_reftext, sect_title, sect_level, atx];\n      }, TMP_Parser_parse_section_title_39.$$arity = 2);\n      if ($truthy($$($nesting, 'FORCE_UNICODE_LINE_LENGTH'))) {\n        Opal.defs(self, '$line_length', TMP_Parser_line_length_40 = function $$line_length(line) {\n          var self = this;\n\n          return line.$scan($$($nesting, 'UnicodeCharScanRx')).$size()\n        }, TMP_Parser_line_length_40.$$arity = 1)\n      } else {\n        Opal.defs(self, '$line_length', TMP_Parser_line_length_41 = function $$line_length(line) {\n          var self = this;\n\n          return line.$length()\n        }, TMP_Parser_line_length_41.$$arity = 1)\n      };\n      Opal.defs(self, '$parse_header_metadata', TMP_Parser_parse_header_metadata_46 = function $$parse_header_metadata(reader, document) {\n        var $a, TMP_42, TMP_43, TMP_44, self = this, metadata = nil, implicit_author = nil, implicit_authors = nil, author_metadata = nil, rev_metadata = nil, rev_line = nil, match = nil, $writer = nil, component = nil, author_line = nil, authors = nil, author_idx = nil, author_key = nil, explicit = nil, sparse = nil, author_override = nil;\n\n        if (document == null) {\n          document = nil;\n        }\n        \n        self.$process_attribute_entries(reader, document);\n        $a = [$hash2([], {}), nil, nil], (metadata = $a[0]), (implicit_author = $a[1]), (implicit_authors = $a[2]), $a;\n        if ($truthy(($truthy($a = reader['$has_more_lines?']()) ? reader['$next_line_empty?']()['$!']() : $a))) {\n          \n          if ($truthy((author_metadata = self.$process_authors(reader.$read_line()))['$empty?']())) {\n          } else {\n            \n            if ($truthy(document)) {\n              \n              $send(author_metadata, 'each', [], (TMP_42 = function(key, val){var self = TMP_42.$$s || this, $writer = nil;\nif (key == null) key = nil;if (val == null) val = nil;\n              if ($truthy(document.$attributes()['$key?'](key))) {\n                  return nil\n                } else {\n                  \n                  $writer = [key, (function() {if ($truthy($$$('::', 'String')['$==='](val))) {\n                    \n                    return document.$apply_header_subs(val);\n                  } else {\n                    return val\n                  }; return nil; })()];\n                  $send(document.$attributes(), '[]=', Opal.to_a($writer));\n                  return $writer[$rb_minus($writer[\"length\"], 1)];\n                }}, TMP_42.$$s = self, TMP_42.$$arity = 2, TMP_42));\n              implicit_author = document.$attributes()['$[]'](\"author\");\n              implicit_authors = document.$attributes()['$[]'](\"authors\");};\n            metadata = author_metadata;\n          };\n          self.$process_attribute_entries(reader, document);\n          rev_metadata = $hash2([], {});\n          if ($truthy(($truthy($a = reader['$has_more_lines?']()) ? reader['$next_line_empty?']()['$!']() : $a))) {\n            \n            rev_line = reader.$read_line();\n            if ($truthy((match = $$($nesting, 'RevisionInfoLineRx').$match(rev_line)))) {\n              \n              if ($truthy(match['$[]'](1))) {\n                \n                $writer = [\"revnumber\", match['$[]'](1).$rstrip()];\n                $send(rev_metadata, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];};\n              if ($truthy((component = match['$[]'](2).$strip())['$empty?']())) {\n              } else if ($truthy(($truthy($a = match['$[]'](1)['$!']()) ? component['$start_with?'](\"v\") : $a))) {\n                \n                $writer = [\"revnumber\", component['$[]']($range(1, -1, false))];\n                $send(rev_metadata, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];\n              } else {\n                \n                $writer = [\"revdate\", component];\n                $send(rev_metadata, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];\n              };\n              if ($truthy(match['$[]'](3))) {\n                \n                $writer = [\"revremark\", match['$[]'](3).$rstrip()];\n                $send(rev_metadata, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];};\n            } else {\n              reader.$unshift_line(rev_line)\n            };};\n          if ($truthy(rev_metadata['$empty?']())) {\n          } else {\n            \n            if ($truthy(document)) {\n              $send(rev_metadata, 'each', [], (TMP_43 = function(key, val){var self = TMP_43.$$s || this;\nif (key == null) key = nil;if (val == null) val = nil;\n              if ($truthy(document.$attributes()['$key?'](key))) {\n                  return nil\n                } else {\n                  \n                  $writer = [key, document.$apply_header_subs(val)];\n                  $send(document.$attributes(), '[]=', Opal.to_a($writer));\n                  return $writer[$rb_minus($writer[\"length\"], 1)];\n                }}, TMP_43.$$s = self, TMP_43.$$arity = 2, TMP_43))};\n            metadata.$update(rev_metadata);\n          };\n          self.$process_attribute_entries(reader, document);\n          reader.$skip_blank_lines();};\n        if ($truthy(document)) {\n          \n          if ($truthy(($truthy($a = document.$attributes()['$key?'](\"author\")) ? (author_line = document.$attributes()['$[]'](\"author\"))['$!='](implicit_author) : $a))) {\n            author_metadata = self.$process_authors(author_line, true, false)\n          } else if ($truthy(($truthy($a = document.$attributes()['$key?'](\"authors\")) ? (author_line = document.$attributes()['$[]'](\"authors\"))['$!='](implicit_authors) : $a))) {\n            author_metadata = self.$process_authors(author_line, true)\n          } else {\n            \n            $a = [[], 1, \"author_1\", false, false], (authors = $a[0]), (author_idx = $a[1]), (author_key = $a[2]), (explicit = $a[3]), (sparse = $a[4]), $a;\n            while ($truthy(document.$attributes()['$key?'](author_key))) {\n              \n              if ((author_override = document.$attributes()['$[]'](author_key))['$=='](author_metadata['$[]'](author_key))) {\n                \n                authors['$<<'](nil);\n                sparse = true;\n              } else {\n                \n                authors['$<<'](author_override);\n                explicit = true;\n              };\n              author_key = \"\" + \"author_\" + ((author_idx = $rb_plus(author_idx, 1)));\n            };\n            if ($truthy(explicit)) {\n              \n              if ($truthy(sparse)) {\n                $send(authors, 'each_with_index', [], (TMP_44 = function(author, idx){var self = TMP_44.$$s || this, TMP_45, name_idx = nil;\nif (author == null) author = nil;if (idx == null) idx = nil;\n                if ($truthy(author)) {\n                    return nil\n                  } else {\n                    \n                    $writer = [idx, $rb_times($send([author_metadata['$[]'](\"\" + \"firstname_\" + ((name_idx = $rb_plus(idx, 1)))), author_metadata['$[]'](\"\" + \"middlename_\" + (name_idx)), author_metadata['$[]'](\"\" + \"lastname_\" + (name_idx))].$compact(), 'map', [], (TMP_45 = function(it){var self = TMP_45.$$s || this;\nif (it == null) it = nil;\n                    return it.$tr(\" \", \"_\")}, TMP_45.$$s = self, TMP_45.$$arity = 1, TMP_45)), \" \")];\n                    $send(authors, '[]=', Opal.to_a($writer));\n                    return $writer[$rb_minus($writer[\"length\"], 1)];\n                  }}, TMP_44.$$s = self, TMP_44.$$arity = 2, TMP_44))};\n              author_metadata = self.$process_authors(authors, true, false);\n            } else {\n              author_metadata = $hash2([], {})\n            };\n          };\n          if ($truthy(author_metadata['$empty?']())) {\n          } else {\n            \n            document.$attributes().$update(author_metadata);\n            if ($truthy(($truthy($a = document.$attributes()['$key?'](\"email\")['$!']()) ? document.$attributes()['$key?'](\"email_1\") : $a))) {\n              \n              $writer = [\"email\", document.$attributes()['$[]'](\"email_1\")];\n              $send(document.$attributes(), '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];};\n          };};\n        return metadata;\n      }, TMP_Parser_parse_header_metadata_46.$$arity = -2);\n      Opal.defs(self, '$process_authors', TMP_Parser_process_authors_52 = function $$process_authors(author_line, names_only, multiple) {\n        var TMP_47, TMP_48, self = this, author_metadata = nil, keys = nil, author_entries = nil;\n\n        if (names_only == null) {\n          names_only = false;\n        }\n        if (multiple == null) {\n          multiple = true;\n        }\n        \n        author_metadata = $hash2([], {});\n        keys = [\"author\", \"authorinitials\", \"firstname\", \"middlename\", \"lastname\", \"email\"];\n        author_entries = (function() {if ($truthy(multiple)) {\n          return $send(author_line.$split(\";\"), 'map', [], (TMP_47 = function(it){var self = TMP_47.$$s || this;\nif (it == null) it = nil;\n          return it.$strip()}, TMP_47.$$s = self, TMP_47.$$arity = 1, TMP_47))\n        } else {\n          return self.$Array(author_line)\n        }; return nil; })();\n        $send(author_entries, 'each_with_index', [], (TMP_48 = function(author_entry, idx){var self = TMP_48.$$s || this, TMP_49, TMP_50, $a, TMP_51, key_map = nil, segments = nil, $writer = nil, match = nil, author = nil, fname = nil, mname = nil, lname = nil;\nif (author_entry == null) author_entry = nil;if (idx == null) idx = nil;\n        \n          if ($truthy(author_entry['$empty?']())) {\n            return nil;};\n          key_map = $hash2([], {});\n          if (idx['$=='](0)) {\n            $send(keys, 'each', [], (TMP_49 = function(key){var self = TMP_49.$$s || this, $writer = nil;\nif (key == null) key = nil;\n            \n              $writer = [key.$to_sym(), key];\n              $send(key_map, '[]=', Opal.to_a($writer));\n              return $writer[$rb_minus($writer[\"length\"], 1)];}, TMP_49.$$s = self, TMP_49.$$arity = 1, TMP_49))\n          } else {\n            $send(keys, 'each', [], (TMP_50 = function(key){var self = TMP_50.$$s || this, $writer = nil;\nif (key == null) key = nil;\n            \n              $writer = [key.$to_sym(), \"\" + (key) + \"_\" + ($rb_plus(idx, 1))];\n              $send(key_map, '[]=', Opal.to_a($writer));\n              return $writer[$rb_minus($writer[\"length\"], 1)];}, TMP_50.$$s = self, TMP_50.$$arity = 1, TMP_50))\n          };\n          segments = nil;\n          if ($truthy(names_only)) {\n            \n            if ($truthy(author_entry['$include?'](\"<\"))) {\n              \n              \n              $writer = [key_map['$[]'](\"author\"), author_entry.$tr(\"_\", \" \")];\n              $send(author_metadata, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;\n              author_entry = author_entry.$gsub($$($nesting, 'XmlSanitizeRx'), \"\");};\n            if ((segments = author_entry.$split(nil, 3)).$size()['$=='](3)) {\n              segments['$<<'](segments.$pop().$squeeze(\" \"))};\n          } else if ($truthy((match = $$($nesting, 'AuthorInfoLineRx').$match(author_entry)))) {\n            (segments = match.$to_a()).$shift()};\n          if ($truthy(segments)) {\n            \n            author = (($writer = [key_map['$[]'](\"firstname\"), (fname = segments['$[]'](0).$tr(\"_\", \" \"))]), $send(author_metadata, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]);\n            \n            $writer = [key_map['$[]'](\"authorinitials\"), fname.$chr()];\n            $send(author_metadata, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            if ($truthy(segments['$[]'](1))) {\n              if ($truthy(segments['$[]'](2))) {\n                \n                \n                $writer = [key_map['$[]'](\"middlename\"), (mname = segments['$[]'](1).$tr(\"_\", \" \"))];\n                $send(author_metadata, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;\n                \n                $writer = [key_map['$[]'](\"lastname\"), (lname = segments['$[]'](2).$tr(\"_\", \" \"))];\n                $send(author_metadata, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;\n                author = $rb_plus($rb_plus($rb_plus($rb_plus(fname, \" \"), mname), \" \"), lname);\n                \n                $writer = [key_map['$[]'](\"authorinitials\"), \"\" + (fname.$chr()) + (mname.$chr()) + (lname.$chr())];\n                $send(author_metadata, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;\n              } else {\n                \n                \n                $writer = [key_map['$[]'](\"lastname\"), (lname = segments['$[]'](1).$tr(\"_\", \" \"))];\n                $send(author_metadata, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;\n                author = $rb_plus($rb_plus(fname, \" \"), lname);\n                \n                $writer = [key_map['$[]'](\"authorinitials\"), \"\" + (fname.$chr()) + (lname.$chr())];\n                $send(author_metadata, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;\n              }};\n            ($truthy($a = author_metadata['$[]'](key_map['$[]'](\"author\"))) ? $a : (($writer = [key_map['$[]'](\"author\"), author]), $send(author_metadata, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n            if ($truthy(($truthy($a = names_only) ? $a : segments['$[]'](3)['$!']()))) {\n            } else {\n              \n              $writer = [key_map['$[]'](\"email\"), segments['$[]'](3)];\n              $send(author_metadata, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];\n            };\n          } else {\n            \n            \n            $writer = [key_map['$[]'](\"author\"), (($writer = [key_map['$[]'](\"firstname\"), (fname = author_entry.$squeeze(\" \").$strip())]), $send(author_metadata, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])];\n            $send(author_metadata, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            \n            $writer = [key_map['$[]'](\"authorinitials\"), fname.$chr()];\n            $send(author_metadata, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n          };\n          \n          $writer = [\"authorcount\", $rb_plus(idx, 1)];\n          $send(author_metadata, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          if (idx['$=='](1)) {\n            $send(keys, 'each', [], (TMP_51 = function(key){var self = TMP_51.$$s || this;\nif (key == null) key = nil;\n            if ($truthy(author_metadata['$key?'](key))) {\n                \n                $writer = [\"\" + (key) + \"_1\", author_metadata['$[]'](key)];\n                $send(author_metadata, '[]=', Opal.to_a($writer));\n                return $writer[$rb_minus($writer[\"length\"], 1)];\n              } else {\n                return nil\n              }}, TMP_51.$$s = self, TMP_51.$$arity = 1, TMP_51))};\n          if (idx['$=='](0)) {\n            \n            $writer = [\"authors\", author_metadata['$[]'](key_map['$[]'](\"author\"))];\n            $send(author_metadata, '[]=', Opal.to_a($writer));\n            return $writer[$rb_minus($writer[\"length\"], 1)];\n          } else {\n            \n            $writer = [\"authors\", \"\" + (author_metadata['$[]'](\"authors\")) + \", \" + (author_metadata['$[]'](key_map['$[]'](\"author\")))];\n            $send(author_metadata, '[]=', Opal.to_a($writer));\n            return $writer[$rb_minus($writer[\"length\"], 1)];\n          };}, TMP_48.$$s = self, TMP_48.$$arity = 2, TMP_48));\n        return author_metadata;\n      }, TMP_Parser_process_authors_52.$$arity = -2);\n      Opal.defs(self, '$parse_block_metadata_lines', TMP_Parser_parse_block_metadata_lines_53 = function $$parse_block_metadata_lines(reader, document, attributes, options) {\n        var $a, $b, self = this;\n\n        if (attributes == null) {\n          attributes = $hash2([], {});\n        }\n        if (options == null) {\n          options = $hash2([], {});\n        }\n        \n        while ($truthy(self.$parse_block_metadata_line(reader, document, attributes, options))) {\n          \n          reader.$shift();\n          if ($truthy($b = reader.$skip_blank_lines())) {\n            $b\n          } else {\n            break;\n          };\n        };\n        return attributes;\n      }, TMP_Parser_parse_block_metadata_lines_53.$$arity = -3);\n      Opal.defs(self, '$parse_block_metadata_line', TMP_Parser_parse_block_metadata_line_54 = function $$parse_block_metadata_line(reader, document, attributes, options) {\n        var $a, $b, self = this, next_line = nil, normal = nil, $writer = nil, reftext = nil, ll = nil;\n        if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n        if (options == null) {\n          options = $hash2([], {});\n        }\n        if ($truthy(($truthy($a = (next_line = reader.$peek_line())) ? (function() {if ($truthy(options['$[]'](\"text\"))) {\n          \n          return next_line['$start_with?'](\"[\", \"/\");\n        } else {\n          \n          return (normal = next_line['$start_with?'](\"[\", \".\", \"/\", \":\"));\n        }; return nil; })() : $a))) {\n          if ($truthy(next_line['$start_with?'](\"[\"))) {\n            if ($truthy(next_line['$start_with?'](\"[[\"))) {\n              if ($truthy(($truthy($a = next_line['$end_with?'](\"]]\")) ? $$($nesting, 'BlockAnchorRx')['$=~'](next_line) : $a))) {\n                \n                \n                $writer = [\"id\", (($a = $gvars['~']) === nil ? nil : $a['$[]'](1))];\n                $send(attributes, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;\n                if ($truthy((reftext = (($a = $gvars['~']) === nil ? nil : $a['$[]'](2))))) {\n                  \n                  $writer = [\"reftext\", (function() {if ($truthy(reftext['$include?']($$($nesting, 'ATTR_REF_HEAD')))) {\n                    \n                    return document.$sub_attributes(reftext);\n                  } else {\n                    return reftext\n                  }; return nil; })()];\n                  $send(attributes, '[]=', Opal.to_a($writer));\n                  $writer[$rb_minus($writer[\"length\"], 1)];};\n                return true;\n              } else {\n                return nil\n              }\n            } else if ($truthy(($truthy($a = next_line['$end_with?'](\"]\")) ? $$($nesting, 'BlockAttributeListRx')['$=~'](next_line) : $a))) {\n              \n              document.$parse_attributes((($a = $gvars['~']) === nil ? nil : $a['$[]'](1)), [], $hash2([\"sub_input\", \"into\"], {\"sub_input\": true, \"into\": attributes}));\n              return true;\n            } else {\n              return nil\n            }\n          } else if ($truthy(($truthy($a = normal) ? next_line['$start_with?'](\".\") : $a))) {\n            if ($truthy($$($nesting, 'BlockTitleRx')['$=~'](next_line))) {\n              \n              \n              $writer = [\"title\", (($a = $gvars['~']) === nil ? nil : $a['$[]'](1))];\n              $send(attributes, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;\n              return true;\n            } else {\n              return nil\n            }\n          } else if ($truthy(($truthy($a = normal['$!']()) ? $a : next_line['$start_with?'](\"/\")))) {\n            if ($truthy(next_line['$start_with?'](\"//\"))) {\n              if (next_line['$=='](\"//\")) {\n                return true\n              } else if ($truthy(($truthy($a = normal) ? $rb_times(\"/\", (ll = next_line.$length()))['$=='](next_line) : $a))) {\n                if (ll['$=='](3)) {\n                  return nil\n                } else {\n                  \n                  reader.$read_lines_until($hash2([\"skip_first_line\", \"preserve_last_line\", \"terminator\", \"skip_processing\"], {\"skip_first_line\": true, \"preserve_last_line\": true, \"terminator\": next_line, \"skip_processing\": true}));\n                  return true;\n                }\n              } else if ($truthy(next_line['$start_with?'](\"///\"))) {\n                return nil\n              } else {\n                return true\n              }\n            } else {\n              return nil\n            }\n          } else if ($truthy(($truthy($a = ($truthy($b = normal) ? next_line['$start_with?'](\":\") : $b)) ? $$($nesting, 'AttributeEntryRx')['$=~'](next_line) : $a))) {\n            \n            self.$process_attribute_entry(reader, document, attributes, $gvars[\"~\"]);\n            return true;\n          } else {\n            return nil\n          }\n        } else {\n          return nil\n        }\n      }, TMP_Parser_parse_block_metadata_line_54.$$arity = -4);\n      Opal.defs(self, '$process_attribute_entries', TMP_Parser_process_attribute_entries_55 = function $$process_attribute_entries(reader, document, attributes) {\n        var $a, self = this;\n\n        if (attributes == null) {\n          attributes = nil;\n        }\n        \n        reader.$skip_comment_lines();\n        while ($truthy(self.$process_attribute_entry(reader, document, attributes))) {\n          \n          reader.$shift();\n          reader.$skip_comment_lines();\n        };\n      }, TMP_Parser_process_attribute_entries_55.$$arity = -3);\n      Opal.defs(self, '$process_attribute_entry', TMP_Parser_process_attribute_entry_56 = function $$process_attribute_entry(reader, document, attributes, match) {\n        var $a, $b, self = this, value = nil, con = nil, next_line = nil, keep_open = nil;\n\n        if (attributes == null) {\n          attributes = nil;\n        }\n        if (match == null) {\n          match = nil;\n        }\n        if ($truthy((match = ($truthy($a = match) ? $a : (function() {if ($truthy(reader['$has_more_lines?']())) {\n          \n          return $$($nesting, 'AttributeEntryRx').$match(reader.$peek_line());\n        } else {\n          return nil\n        }; return nil; })())))) {\n          \n          if ($truthy((value = match['$[]'](2))['$nil_or_empty?']())) {\n            value = \"\"\n          } else if ($truthy(value['$end_with?']($$($nesting, 'LINE_CONTINUATION'), $$($nesting, 'LINE_CONTINUATION_LEGACY')))) {\n            \n            $a = [value.$slice(-2, 2), value.$slice(0, $rb_minus(value.$length(), 2)).$rstrip()], (con = $a[0]), (value = $a[1]), $a;\n            while ($truthy(($truthy($b = reader.$advance()) ? (next_line = reader.$peek_line().$lstrip())['$empty?']()['$!']() : $b))) {\n              \n              if ($truthy((keep_open = next_line['$end_with?'](con)))) {\n                next_line = next_line.$slice(0, $rb_minus(next_line.$length(), 2)).$rstrip()};\n              value = \"\" + (value) + ((function() {if ($truthy(value['$end_with?']($$($nesting, 'HARD_LINE_BREAK')))) {\n                return $$($nesting, 'LF')\n              } else {\n                return \" \"\n              }; return nil; })()) + (next_line);\n              if ($truthy(keep_open)) {\n              } else {\n                break;\n              };\n            };};\n          self.$store_attribute(match['$[]'](1), value, document, attributes);\n          return true;\n        } else {\n          return nil\n        }\n      }, TMP_Parser_process_attribute_entry_56.$$arity = -3);\n      Opal.defs(self, '$store_attribute', TMP_Parser_store_attribute_57 = function $$store_attribute(name, value, doc, attrs) {\n        var $a, self = this, resolved_value = nil;\n\n        if (doc == null) {\n          doc = nil;\n        }\n        if (attrs == null) {\n          attrs = nil;\n        }\n        \n        if ($truthy(name['$end_with?'](\"!\"))) {\n          $a = [name.$chop(), nil], (name = $a[0]), (value = $a[1]), $a\n        } else if ($truthy(name['$start_with?'](\"!\"))) {\n          $a = [name.$slice(1, name.$length()), nil], (name = $a[0]), (value = $a[1]), $a};\n        name = self.$sanitize_attribute_name(name);\n        if (name['$=='](\"numbered\")) {\n          name = \"sectnums\"};\n        if ($truthy(doc)) {\n          if ($truthy(value)) {\n            \n            if (name['$=='](\"leveloffset\")) {\n              if ($truthy(value['$start_with?'](\"+\"))) {\n                value = $rb_plus(doc.$attr(\"leveloffset\", 0).$to_i(), ($truthy($a = value['$[]']($range(1, -1, false))) ? $a : 0).$to_i()).$to_s()\n              } else if ($truthy(value['$start_with?'](\"-\"))) {\n                value = $rb_minus(doc.$attr(\"leveloffset\", 0).$to_i(), ($truthy($a = value['$[]']($range(1, -1, false))) ? $a : 0).$to_i()).$to_s()}};\n            if ($truthy((resolved_value = doc.$set_attribute(name, value)))) {\n              \n              value = resolved_value;\n              if ($truthy(attrs)) {\n                $$$($$($nesting, 'Document'), 'AttributeEntry').$new(name, value).$save_to(attrs)};};\n          } else if ($truthy(($truthy($a = doc.$delete_attribute(name)) ? attrs : $a))) {\n            $$$($$($nesting, 'Document'), 'AttributeEntry').$new(name, value).$save_to(attrs)}\n        } else if ($truthy(attrs)) {\n          $$$($$($nesting, 'Document'), 'AttributeEntry').$new(name, value).$save_to(attrs)};\n        return [name, value];\n      }, TMP_Parser_store_attribute_57.$$arity = -3);\n      Opal.defs(self, '$resolve_list_marker', TMP_Parser_resolve_list_marker_58 = function $$resolve_list_marker(list_type, marker, ordinal, validate, reader) {\n        var self = this;\n\n        if (ordinal == null) {\n          ordinal = 0;\n        }\n        if (validate == null) {\n          validate = false;\n        }\n        if (reader == null) {\n          reader = nil;\n        }\n        if (list_type['$=='](\"olist\")) {\n          if ($truthy(marker['$start_with?'](\".\"))) {\n            return marker\n          } else {\n            \n            return self.$resolve_ordered_list_marker(marker, ordinal, validate, reader);\n          }\n        } else if (list_type['$=='](\"colist\")) {\n          return \"<1>\"\n        } else {\n          return marker\n        }\n      }, TMP_Parser_resolve_list_marker_58.$$arity = -3);\n      Opal.defs(self, '$resolve_ordered_list_marker', TMP_Parser_resolve_ordered_list_marker_60 = function $$resolve_ordered_list_marker(marker, ordinal, validate, reader) {\n        var TMP_59, $a, self = this, expected = nil, actual = nil, $case = nil;\n\n        if (ordinal == null) {\n          ordinal = 0;\n        }\n        if (validate == null) {\n          validate = false;\n        }\n        if (reader == null) {\n          reader = nil;\n        }\n        \n        expected = (actual = nil);\n        $case = $send($$($nesting, 'ORDERED_LIST_STYLES'), 'find', [], (TMP_59 = function(s){var self = TMP_59.$$s || this;\nif (s == null) s = nil;\n        return $$($nesting, 'OrderedListMarkerRxMap')['$[]'](s)['$match?'](marker)}, TMP_59.$$s = self, TMP_59.$$arity = 1, TMP_59));\n        if (\"arabic\"['$===']($case)) {\n        if ($truthy(validate)) {\n          \n          expected = $rb_plus(ordinal, 1);\n          actual = marker.$to_i();};\n        marker = \"1.\";}\n        else if (\"loweralpha\"['$===']($case)) {\n        if ($truthy(validate)) {\n          \n          expected = $rb_plus(\"a\"['$[]'](0).$ord(), ordinal).$chr();\n          actual = marker.$chop();};\n        marker = \"a.\";}\n        else if (\"upperalpha\"['$===']($case)) {\n        if ($truthy(validate)) {\n          \n          expected = $rb_plus(\"A\"['$[]'](0).$ord(), ordinal).$chr();\n          actual = marker.$chop();};\n        marker = \"A.\";}\n        else if (\"lowerroman\"['$===']($case)) {\n        if ($truthy(validate)) {\n          \n          expected = $rb_plus(ordinal, 1);\n          actual = self.$roman_numeral_to_int(marker.$chop());};\n        marker = \"i)\";}\n        else if (\"upperroman\"['$===']($case)) {\n        if ($truthy(validate)) {\n          \n          expected = $rb_plus(ordinal, 1);\n          actual = self.$roman_numeral_to_int(marker.$chop());};\n        marker = \"I)\";};\n        if ($truthy(($truthy($a = validate) ? expected['$!='](actual) : $a))) {\n          self.$warn(\"\" + \"asciidoctor: WARNING: \" + (reader.$line_info()) + \": list item index: expected \" + (expected) + \", got \" + (actual))};\n        return marker;\n      }, TMP_Parser_resolve_ordered_list_marker_60.$$arity = -2);\n      Opal.defs(self, '$is_sibling_list_item?', TMP_Parser_is_sibling_list_item$q_61 = function(line, list_type, sibling_trait) {\n        var self = this, matcher = nil, expected_marker = nil, m = nil;\n\n        \n        if ($truthy($$$('::', 'Regexp')['$==='](sibling_trait))) {\n          \n          matcher = sibling_trait;\n          expected_marker = false;\n        } else {\n          \n          matcher = $$($nesting, 'ListRxMap')['$[]'](list_type);\n          expected_marker = sibling_trait;\n        };\n        if ($truthy((m = matcher.$match(line)))) {\n          if ($truthy(expected_marker)) {\n            return expected_marker['$=='](self.$resolve_list_marker(list_type, m['$[]'](1)))\n          } else {\n            return true\n          }\n        } else {\n          return false\n        };\n      }, TMP_Parser_is_sibling_list_item$q_61.$$arity = 3);\n      Opal.defs(self, '$next_table', TMP_Parser_next_table_62 = function $$next_table(table_reader, parent, attributes) {\n        var $a, $b, $c, $d, self = this, table = nil, $writer = nil, colspecs = nil, explicit_colspecs = nil, skipped = nil, parser_ctx = nil, format = nil, loop_idx = nil, implicit_header_boundary = nil, implicit_header = nil, line = nil, next_cellspec = nil, m = nil, $case = nil, cell_text = nil, $logical_op_recvr_tmp_2 = nil;\n\n        \n        table = $$($nesting, 'Table').$new(parent, attributes);\n        if ($truthy(attributes['$key?'](\"title\"))) {\n          \n          \n          $writer = [attributes.$delete(\"title\")];\n          $send(table, 'title=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          table.$assign_caption(attributes.$delete(\"caption\"));};\n        if ($truthy(($truthy($a = attributes['$key?'](\"cols\")) ? (colspecs = self.$parse_colspecs(attributes['$[]'](\"cols\")))['$empty?']()['$!']() : $a))) {\n          \n          table.$create_columns(colspecs);\n          explicit_colspecs = true;};\n        skipped = ($truthy($a = table_reader.$skip_blank_lines()) ? $a : 0);\n        parser_ctx = $$$($$($nesting, 'Table'), 'ParserContext').$new(table_reader, table, attributes);\n        $a = [parser_ctx.$format(), -1, nil], (format = $a[0]), (loop_idx = $a[1]), (implicit_header_boundary = $a[2]), $a;\n        if ($truthy(($truthy($a = ($truthy($b = $rb_gt(skipped, 0)) ? $b : attributes['$key?'](\"header-option\"))) ? $a : attributes['$key?'](\"noheader-option\")))) {\n        } else {\n          implicit_header = true\n        };\n        $a = false; while ($a || $truthy((line = table_reader.$read_line()))) {$a = false;\n          \n          if ($truthy(($truthy($b = $rb_gt((loop_idx = $rb_plus(loop_idx, 1)), 0)) ? line['$empty?']() : $b))) {\n            \n            line = nil;\n            if ($truthy(implicit_header_boundary)) {\n              implicit_header_boundary = $rb_plus(implicit_header_boundary, 1)};\n          } else if (format['$=='](\"psv\")) {\n            if ($truthy(parser_ctx['$starts_with_delimiter?'](line))) {\n              \n              line = line.$slice(1, line.$length());\n              parser_ctx.$close_open_cell();\n              if ($truthy(implicit_header_boundary)) {\n                implicit_header_boundary = nil};\n            } else {\n              \n              $c = self.$parse_cellspec(line, \"start\", parser_ctx.$delimiter()), $b = Opal.to_ary($c), (next_cellspec = ($b[0] == null ? nil : $b[0])), (line = ($b[1] == null ? nil : $b[1])), $c;\n              if ($truthy(next_cellspec)) {\n                \n                parser_ctx.$close_open_cell(next_cellspec);\n                if ($truthy(implicit_header_boundary)) {\n                  implicit_header_boundary = nil};\n              } else if ($truthy(($truthy($b = implicit_header_boundary) ? implicit_header_boundary['$=='](loop_idx) : $b))) {\n                $b = [false, nil], (implicit_header = $b[0]), (implicit_header_boundary = $b[1]), $b};\n            }};\n          if ($truthy((($b = loop_idx['$=='](0)) ? implicit_header : loop_idx['$=='](0)))) {\n            if ($truthy(($truthy($b = table_reader['$has_more_lines?']()) ? table_reader.$peek_line()['$empty?']() : $b))) {\n              implicit_header_boundary = 1\n            } else {\n              implicit_header = false\n            }};\n          $b = false; while ($b || $truthy(true)) {$b = false;\n            if ($truthy(($truthy($c = line) ? (m = parser_ctx.$match_delimiter(line)) : $c))) {\n              \n              $case = format;\n              if (\"csv\"['$===']($case)) {\n              if ($truthy(parser_ctx['$buffer_has_unclosed_quotes?'](m.$pre_match()))) {\n                \n                if ($truthy((line = parser_ctx.$skip_past_delimiter(m))['$empty?']())) {\n                  break;};\n                $b = true;};\n              \n              $writer = [\"\" + (parser_ctx.$buffer()) + (m.$pre_match())];\n              $send(parser_ctx, 'buffer=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;}\n              else if (\"dsv\"['$===']($case)) {\n              if ($truthy(m.$pre_match()['$end_with?'](\"\\\\\"))) {\n                \n                if ($truthy((line = parser_ctx.$skip_past_escaped_delimiter(m))['$empty?']())) {\n                  \n                  \n                  $writer = [\"\" + (parser_ctx.$buffer()) + ($$($nesting, 'LF'))];\n                  $send(parser_ctx, 'buffer=', Opal.to_a($writer));\n                  $writer[$rb_minus($writer[\"length\"], 1)];;\n                  parser_ctx.$keep_cell_open();\n                  break;;};\n                $b = true;};\n              \n              $writer = [\"\" + (parser_ctx.$buffer()) + (m.$pre_match())];\n              $send(parser_ctx, 'buffer=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;}\n              else {\n              if ($truthy(m.$pre_match()['$end_with?'](\"\\\\\"))) {\n                \n                if ($truthy((line = parser_ctx.$skip_past_escaped_delimiter(m))['$empty?']())) {\n                  \n                  \n                  $writer = [\"\" + (parser_ctx.$buffer()) + ($$($nesting, 'LF'))];\n                  $send(parser_ctx, 'buffer=', Opal.to_a($writer));\n                  $writer[$rb_minus($writer[\"length\"], 1)];;\n                  parser_ctx.$keep_cell_open();\n                  break;;};\n                $b = true;};\n              $d = self.$parse_cellspec(m.$pre_match()), $c = Opal.to_ary($d), (next_cellspec = ($c[0] == null ? nil : $c[0])), (cell_text = ($c[1] == null ? nil : $c[1])), $d;\n              parser_ctx.$push_cellspec(next_cellspec);\n              \n              $writer = [\"\" + (parser_ctx.$buffer()) + (cell_text)];\n              $send(parser_ctx, 'buffer=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;};\n              if ($truthy((line = m.$post_match())['$empty?']())) {\n                line = nil};\n              parser_ctx.$close_cell();\n            } else {\n              \n              \n              $writer = [\"\" + (parser_ctx.$buffer()) + (line) + ($$($nesting, 'LF'))];\n              $send(parser_ctx, 'buffer=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;\n              $case = format;\n              if (\"csv\"['$===']($case)) {\n              \n              $writer = [\"\" + (parser_ctx.$buffer().$rstrip()) + \" \"];\n              $send(parser_ctx, 'buffer=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;\n              if ($truthy(parser_ctx['$buffer_has_unclosed_quotes?']())) {\n                \n                if ($truthy(($truthy($c = implicit_header_boundary) ? loop_idx['$=='](0) : $c))) {\n                  $c = [false, nil], (implicit_header = $c[0]), (implicit_header_boundary = $c[1]), $c};\n                parser_ctx.$keep_cell_open();\n              } else {\n                parser_ctx.$close_cell(true)\n              };}\n              else if (\"dsv\"['$===']($case)) {parser_ctx.$close_cell(true)}\n              else {parser_ctx.$keep_cell_open()};\n              break;;\n            }\n          };\n          if ($truthy(parser_ctx['$cell_open?']())) {\n            if ($truthy(table_reader['$has_more_lines?']())) {\n            } else {\n              parser_ctx.$close_cell(true)\n            }\n          } else {\n            if ($truthy($b = table_reader.$skip_blank_lines())) {\n              $b\n            } else {\n              break;\n            }\n          };\n        };\n        if ($truthy(($truthy($a = (($logical_op_recvr_tmp_2 = table.$attributes()), ($truthy($b = $logical_op_recvr_tmp_2['$[]'](\"colcount\")) ? $b : (($writer = [\"colcount\", table.$columns().$size()]), $send($logical_op_recvr_tmp_2, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])))['$=='](0)) ? $a : explicit_colspecs))) {\n        } else {\n          table.$assign_column_widths()\n        };\n        if ($truthy(implicit_header)) {\n          \n          \n          $writer = [true];\n          $send(table, 'has_header_option=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [\"header-option\", \"\"];\n          $send(attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          \n          $writer = [\"options\", (function() {if ($truthy(attributes['$key?'](\"options\"))) {\n            return \"\" + (attributes['$[]'](\"options\")) + \",header\"\n          } else {\n            return \"header\"\n          }; return nil; })()];\n          $send(attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;};\n        table.$partition_header_footer(attributes);\n        return table;\n      }, TMP_Parser_next_table_62.$$arity = 3);\n      Opal.defs(self, '$parse_colspecs', TMP_Parser_parse_colspecs_66 = function $$parse_colspecs(records) {\n        var TMP_63, TMP_64, self = this, specs = nil;\n\n        \n        if ($truthy(records['$include?'](\" \"))) {\n          records = records.$delete(\" \")};\n        if (records['$=='](records.$to_i().$to_s())) {\n          return $send($$$('::', 'Array'), 'new', [records.$to_i()], (TMP_63 = function(){var self = TMP_63.$$s || this;\n\n          return $hash2([\"width\"], {\"width\": 1})}, TMP_63.$$s = self, TMP_63.$$arity = 0, TMP_63))};\n        specs = [];\n        $send(records.$split(\",\", -1), 'each', [], (TMP_64 = function(record){var self = TMP_64.$$s || this, $a, $b, TMP_65, m = nil, spec = nil, colspec = nil, rowspec = nil, $writer = nil;\nif (record == null) record = nil;\n        if ($truthy(record['$empty?']())) {\n            return specs['$<<']($hash2([\"width\"], {\"width\": 1}))\n          } else if ($truthy((m = $$($nesting, 'ColumnSpecRx').$match(record)))) {\n            \n            spec = $hash2([], {});\n            if ($truthy(m['$[]'](2))) {\n              \n              $b = m['$[]'](2).$split(\".\"), $a = Opal.to_ary($b), (colspec = ($a[0] == null ? nil : $a[0])), (rowspec = ($a[1] == null ? nil : $a[1])), $b;\n              if ($truthy(($truthy($a = colspec['$nil_or_empty?']()['$!']()) ? $$($nesting, 'TableCellHorzAlignments')['$key?'](colspec) : $a))) {\n                \n                $writer = [\"halign\", $$($nesting, 'TableCellHorzAlignments')['$[]'](colspec)];\n                $send(spec, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];};\n              if ($truthy(($truthy($a = rowspec['$nil_or_empty?']()['$!']()) ? $$($nesting, 'TableCellVertAlignments')['$key?'](rowspec) : $a))) {\n                \n                $writer = [\"valign\", $$($nesting, 'TableCellVertAlignments')['$[]'](rowspec)];\n                $send(spec, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];};};\n            \n            $writer = [\"width\", (function() {if ($truthy(m['$[]'](3))) {\n              return m['$[]'](3).$to_i()\n            } else {\n              return 1\n            }; return nil; })()];\n            $send(spec, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            if ($truthy(($truthy($a = m['$[]'](4)) ? $$($nesting, 'TableCellStyles')['$key?'](m['$[]'](4)) : $a))) {\n              \n              $writer = [\"style\", $$($nesting, 'TableCellStyles')['$[]'](m['$[]'](4))];\n              $send(spec, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];};\n            if ($truthy(m['$[]'](1))) {\n              return $send((1), 'upto', [m['$[]'](1).$to_i()], (TMP_65 = function(){var self = TMP_65.$$s || this;\n\n              return specs['$<<'](spec.$dup())}, TMP_65.$$s = self, TMP_65.$$arity = 0, TMP_65))\n            } else {\n              return specs['$<<'](spec)\n            };\n          } else {\n            return nil\n          }}, TMP_64.$$s = self, TMP_64.$$arity = 1, TMP_64));\n        return specs;\n      }, TMP_Parser_parse_colspecs_66.$$arity = 1);\n      Opal.defs(self, '$parse_cellspec', TMP_Parser_parse_cellspec_67 = function $$parse_cellspec(line, pos, delimiter) {\n        var $a, $b, self = this, m = nil, rest = nil, spec_part = nil, spec = nil, colspec = nil, rowspec = nil, $writer = nil;\n\n        if (pos == null) {\n          pos = \"end\";\n        }\n        if (delimiter == null) {\n          delimiter = nil;\n        }\n        \n        $a = [nil, \"\"], (m = $a[0]), (rest = $a[1]), $a;\n        if (pos['$=='](\"start\")) {\n          if ($truthy(line['$include?'](delimiter))) {\n            \n            $b = line.$split(delimiter, 2), $a = Opal.to_ary($b), (spec_part = ($a[0] == null ? nil : $a[0])), (rest = ($a[1] == null ? nil : $a[1])), $b;\n            if ($truthy((m = $$($nesting, 'CellSpecStartRx').$match(spec_part)))) {\n              if ($truthy(m['$[]'](0)['$empty?']())) {\n                return [$hash2([], {}), rest]}\n            } else {\n              return [nil, line]\n            };\n          } else {\n            return [nil, line]\n          }\n        } else if ($truthy((m = $$($nesting, 'CellSpecEndRx').$match(line)))) {\n          \n          if ($truthy(m['$[]'](0).$lstrip()['$empty?']())) {\n            return [$hash2([], {}), line.$rstrip()]};\n          rest = m.$pre_match();\n        } else {\n          return [$hash2([], {}), line]\n        };\n        spec = $hash2([], {});\n        if ($truthy(m['$[]'](1))) {\n          \n          $b = m['$[]'](1).$split(\".\"), $a = Opal.to_ary($b), (colspec = ($a[0] == null ? nil : $a[0])), (rowspec = ($a[1] == null ? nil : $a[1])), $b;\n          colspec = (function() {if ($truthy(colspec['$nil_or_empty?']())) {\n            return 1\n          } else {\n            return colspec.$to_i()\n          }; return nil; })();\n          rowspec = (function() {if ($truthy(rowspec['$nil_or_empty?']())) {\n            return 1\n          } else {\n            return rowspec.$to_i()\n          }; return nil; })();\n          if (m['$[]'](2)['$=='](\"+\")) {\n            \n            if (colspec['$=='](1)) {\n            } else {\n              \n              $writer = [\"colspan\", colspec];\n              $send(spec, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];\n            };\n            if (rowspec['$=='](1)) {\n            } else {\n              \n              $writer = [\"rowspan\", rowspec];\n              $send(spec, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];\n            };\n          } else if (m['$[]'](2)['$=='](\"*\")) {\n            if (colspec['$=='](1)) {\n            } else {\n              \n              $writer = [\"repeatcol\", colspec];\n              $send(spec, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];\n            }};};\n        if ($truthy(m['$[]'](3))) {\n          \n          $b = m['$[]'](3).$split(\".\"), $a = Opal.to_ary($b), (colspec = ($a[0] == null ? nil : $a[0])), (rowspec = ($a[1] == null ? nil : $a[1])), $b;\n          if ($truthy(($truthy($a = colspec['$nil_or_empty?']()['$!']()) ? $$($nesting, 'TableCellHorzAlignments')['$key?'](colspec) : $a))) {\n            \n            $writer = [\"halign\", $$($nesting, 'TableCellHorzAlignments')['$[]'](colspec)];\n            $send(spec, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};\n          if ($truthy(($truthy($a = rowspec['$nil_or_empty?']()['$!']()) ? $$($nesting, 'TableCellVertAlignments')['$key?'](rowspec) : $a))) {\n            \n            $writer = [\"valign\", $$($nesting, 'TableCellVertAlignments')['$[]'](rowspec)];\n            $send(spec, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};};\n        if ($truthy(($truthy($a = m['$[]'](4)) ? $$($nesting, 'TableCellStyles')['$key?'](m['$[]'](4)) : $a))) {\n          \n          $writer = [\"style\", $$($nesting, 'TableCellStyles')['$[]'](m['$[]'](4))];\n          $send(spec, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];};\n        return [spec, rest];\n      }, TMP_Parser_parse_cellspec_67.$$arity = -2);\n      Opal.defs(self, '$parse_style_attribute', TMP_Parser_parse_style_attribute_71 = function $$parse_style_attribute(attributes, reader) {\n        var $a, $b, TMP_68, TMP_69, TMP_70, self = this, raw_style = nil, type = nil, collector = nil, parsed = nil, save_current = nil, $writer = nil, parsed_style = nil, options = nil, existing_opts = nil;\n\n        if (reader == null) {\n          reader = nil;\n        }\n        if ($truthy(($truthy($a = ($truthy($b = (raw_style = attributes['$[]'](1))) ? raw_style['$include?'](\" \")['$!']() : $b)) ? $$($nesting, 'Compliance').$shorthand_property_syntax() : $a))) {\n          \n          $a = [\"style\", [], $hash2([], {})], (type = $a[0]), (collector = $a[1]), (parsed = $a[2]), $a;\n          save_current = $send(self, 'lambda', [], (TMP_68 = function(){var self = TMP_68.$$s || this, $c, $case = nil, $writer = nil;\n\n          if ($truthy(collector['$empty?']())) {\n              if (type['$=='](\"style\")) {\n                return nil\n              } else {\n                return self.$warn(\"\" + \"asciidoctor: WARNING:\" + ((function() {if ($truthy(reader)) {\n                  return \"\" + \" \" + (reader.$prev_line_info()) + \":\"\n                } else {\n                  return nil\n                }; return nil; })()) + \" invalid empty \" + (type) + \" detected in style attribute\")\n              }\n            } else {\n              \n              $case = type;\n              if (\"role\"['$===']($case) || \"option\"['$===']($case)) {($truthy($c = parsed['$[]'](type)) ? $c : (($writer = [type, []]), $send(parsed, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))['$<<'](collector.$join())}\n              else if (\"id\"['$===']($case)) {\n              if ($truthy(parsed['$key?'](\"id\"))) {\n                self.$warn(\"\" + \"asciidoctor: WARNING:\" + ((function() {if ($truthy(reader)) {\n                  return \"\" + \" \" + (reader.$prev_line_info()) + \":\"\n                } else {\n                  return nil\n                }; return nil; })()) + \" multiple ids detected in style attribute\")};\n              \n              $writer = [type, collector.$join()];\n              $send(parsed, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;}\n              else {\n              $writer = [type, collector.$join()];\n              $send(parsed, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];};\n              return (collector = []);\n            }}, TMP_68.$$s = self, TMP_68.$$arity = 0, TMP_68));\n          $send(raw_style, 'each_char', [], (TMP_69 = function(c){var self = TMP_69.$$s || this, $c, $d, $case = nil;\nif (c == null) c = nil;\n          if ($truthy(($truthy($c = ($truthy($d = c['$=='](\".\")) ? $d : c['$=='](\"#\"))) ? $c : c['$=='](\"%\")))) {\n              \n              save_current.$call();\n              return (function() {$case = c;\n              if (\".\"['$===']($case)) {return (type = \"role\")}\n              else if (\"#\"['$===']($case)) {return (type = \"id\")}\n              else if (\"%\"['$===']($case)) {return (type = \"option\")}\n              else { return nil }})();\n            } else {\n              return collector['$<<'](c)\n            }}, TMP_69.$$s = self, TMP_69.$$arity = 1, TMP_69));\n          if (type['$=='](\"style\")) {\n            \n            $writer = [\"style\", raw_style];\n            $send(attributes, '[]=', Opal.to_a($writer));\n            return $writer[$rb_minus($writer[\"length\"], 1)];\n          } else {\n            \n            save_current.$call();\n            if ($truthy(parsed['$key?'](\"style\"))) {\n              parsed_style = (($writer = [\"style\", parsed['$[]'](\"style\")]), $send(attributes, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])};\n            if ($truthy(parsed['$key?'](\"id\"))) {\n              \n              $writer = [\"id\", parsed['$[]'](\"id\")];\n              $send(attributes, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];};\n            if ($truthy(parsed['$key?'](\"role\"))) {\n              \n              $writer = [\"role\", $rb_times(parsed['$[]'](\"role\"), \" \")];\n              $send(attributes, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];};\n            if ($truthy(parsed['$key?'](\"option\"))) {\n              \n              $send((options = parsed['$[]'](\"option\")), 'each', [], (TMP_70 = function(option){var self = TMP_70.$$s || this;\nif (option == null) option = nil;\n              \n                $writer = [\"\" + (option) + \"-option\", \"\"];\n                $send(attributes, '[]=', Opal.to_a($writer));\n                return $writer[$rb_minus($writer[\"length\"], 1)];}, TMP_70.$$s = self, TMP_70.$$arity = 1, TMP_70));\n              if ($truthy((existing_opts = attributes['$[]'](\"options\")))) {\n                \n                $writer = [\"options\", $rb_times($rb_plus(options, existing_opts.$split(\",\")), \",\")];\n                $send(attributes, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];\n              } else {\n                \n                $writer = [\"options\", $rb_times(options, \",\")];\n                $send(attributes, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];\n              };};\n            return parsed_style;\n          };\n        } else {\n          \n          $writer = [\"style\", raw_style];\n          $send(attributes, '[]=', Opal.to_a($writer));\n          return $writer[$rb_minus($writer[\"length\"], 1)];\n        }\n      }, TMP_Parser_parse_style_attribute_71.$$arity = -2);\n      Opal.defs(self, '$adjust_indentation!', TMP_Parser_adjust_indentation$B_79 = function(lines, indent, tab_size) {\n        var $a, TMP_72, TMP_75, TMP_76, TMP_77, TMP_78, self = this, full_tab_space = nil, gutter_width = nil, padding = nil;\n\n        if (indent == null) {\n          indent = 0;\n        }\n        if (tab_size == null) {\n          tab_size = 0;\n        }\n        \n        if ($truthy(lines['$empty?']())) {\n          return nil};\n        if ($truthy(($truthy($a = $rb_gt((tab_size = tab_size.$to_i()), 0)) ? lines.$join()['$include?']($$($nesting, 'TAB')) : $a))) {\n          \n          full_tab_space = $rb_times(\" \", tab_size);\n          $send(lines, 'map!', [], (TMP_72 = function(line){var self = TMP_72.$$s || this, TMP_73, TMP_74, spaces_added = nil;\nif (line == null) line = nil;\n          \n            if ($truthy(line['$empty?']())) {\n              return line;};\n            if ($truthy(line['$start_with?']($$($nesting, 'TAB')))) {\n              line = $send(line, 'sub', [$$($nesting, 'TabIndentRx')], (TMP_73 = function(){var self = TMP_73.$$s || this, $b;\n\n              return $rb_times(full_tab_space, (($b = $gvars['~']) === nil ? nil : $b['$[]'](0)).$length())}, TMP_73.$$s = self, TMP_73.$$arity = 0, TMP_73))};\n            if ($truthy(line['$include?']($$($nesting, 'TAB')))) {\n              \n              spaces_added = 0;\n              return line = $send(line, 'gsub', [$$($nesting, 'TabRx')], (TMP_74 = function(){var self = TMP_74.$$s || this, offset = nil, spaces = nil;\n                if ($gvars[\"~\"] == null) $gvars[\"~\"] = nil;\n\n              if ((offset = $rb_plus($gvars[\"~\"].$begin(0), spaces_added))['$%'](tab_size)['$=='](0)) {\n                  \n                  spaces_added = $rb_plus(spaces_added, $rb_minus(tab_size, 1));\n                  return full_tab_space;\n                } else {\n                  \n                  if ((spaces = $rb_minus(tab_size, offset['$%'](tab_size)))['$=='](1)) {\n                  } else {\n                    spaces_added = $rb_plus(spaces_added, $rb_minus(spaces, 1))\n                  };\n                  return $rb_times(\" \", spaces);\n                }}, TMP_74.$$s = self, TMP_74.$$arity = 0, TMP_74));\n            } else {\n              return line\n            };}, TMP_72.$$s = self, TMP_72.$$arity = 1, TMP_72));};\n        if ($truthy(($truthy($a = indent) ? $rb_gt((indent = indent.$to_i()), -1) : $a))) {\n        } else {\n          return nil\n        };\n        gutter_width = nil;\n        (function(){var $brk = Opal.new_brk(); try {return $send(lines, 'each', [], (TMP_75 = function(line){var self = TMP_75.$$s || this, $b, line_indent = nil;\nif (line == null) line = nil;\n        \n          if ($truthy(line['$empty?']())) {\n            return nil;};\n          if ((line_indent = $rb_minus(line.$length(), line.$lstrip().$length()))['$=='](0)) {\n            \n            gutter_width = nil;\n            \n            Opal.brk(nil, $brk);\n          } else if ($truthy(($truthy($b = gutter_width) ? $rb_gt(line_indent, gutter_width) : $b))) {\n            return nil\n          } else {\n            return (gutter_width = line_indent)\n          };}, TMP_75.$$s = self, TMP_75.$$brk = $brk, TMP_75.$$arity = 1, TMP_75))\n        } catch (err) { if (err === $brk) { return err.$v } else { throw err } }})();\n        if (indent['$=='](0)) {\n          if ($truthy(gutter_width)) {\n            $send(lines, 'map!', [], (TMP_76 = function(line){var self = TMP_76.$$s || this;\nif (line == null) line = nil;\n            if ($truthy(line['$empty?']())) {\n                return line\n              } else {\n                return line['$[]'](Opal.Range.$new(gutter_width, -1, false))\n              }}, TMP_76.$$s = self, TMP_76.$$arity = 1, TMP_76))}\n        } else {\n          \n          padding = $rb_times(\" \", indent);\n          if ($truthy(gutter_width)) {\n            $send(lines, 'map!', [], (TMP_77 = function(line){var self = TMP_77.$$s || this;\nif (line == null) line = nil;\n            if ($truthy(line['$empty?']())) {\n                return line\n              } else {\n                return $rb_plus(padding, line['$[]'](Opal.Range.$new(gutter_width, -1, false)))\n              }}, TMP_77.$$s = self, TMP_77.$$arity = 1, TMP_77))\n          } else {\n            $send(lines, 'map!', [], (TMP_78 = function(line){var self = TMP_78.$$s || this;\nif (line == null) line = nil;\n            if ($truthy(line['$empty?']())) {\n                return line\n              } else {\n                return $rb_plus(padding, line)\n              }}, TMP_78.$$s = self, TMP_78.$$arity = 1, TMP_78))\n          };\n        };\n        return nil;\n      }, TMP_Parser_adjust_indentation$B_79.$$arity = -2);\n      Opal.defs(self, '$sanitize_attribute_name', TMP_Parser_sanitize_attribute_name_80 = function $$sanitize_attribute_name(name) {\n        var self = this;\n\n        return name.$gsub($$($nesting, 'InvalidAttributeNameCharsRx'), \"\").$downcase()\n      }, TMP_Parser_sanitize_attribute_name_80.$$arity = 1);\n      return (Opal.defs(self, '$roman_numeral_to_int', TMP_Parser_roman_numeral_to_int_82 = function $$roman_numeral_to_int(value) {\n        var TMP_81, self = this, digits = nil, result = nil;\n\n        \n        value = value.$downcase();\n        digits = $hash2([\"i\", \"v\", \"x\"], {\"i\": 1, \"v\": 5, \"x\": 10});\n        result = 0;\n        $send(Opal.Range.$new(0, $rb_minus(value.$length(), 1), false), 'each', [], (TMP_81 = function(i){var self = TMP_81.$$s || this, $a, digit = nil;\nif (i == null) i = nil;\n        \n          digit = digits['$[]'](value['$[]'](Opal.Range.$new(i, i, false)));\n          if ($truthy(($truthy($a = $rb_lt($rb_plus(i, 1), value.$length())) ? $rb_gt(digits['$[]'](value['$[]'](Opal.Range.$new($rb_plus(i, 1), $rb_plus(i, 1), false))), digit) : $a))) {\n            return (result = $rb_minus(result, digit))\n          } else {\n            return (result = $rb_plus(result, digit))\n          };}, TMP_81.$$s = self, TMP_81.$$arity = 1, TMP_81));\n        return result;\n      }, TMP_Parser_roman_numeral_to_int_82.$$arity = 1), nil) && 'roman_numeral_to_int';\n    })($nesting[0], null, $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/path_resolver\"] = function(Opal) {\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $truthy = Opal.truthy, $hash2 = Opal.hash2, $range = Opal.range, $send = Opal.send;\n\n  Opal.add_stubs(['$attr_accessor', '$root?', '$expand_path', '$pwd', '$start_with?', '$==', '$match?', '$absolute_path?', '$+', '$length', '$nil_or_empty?', '$include?', '$tr', '$partition_path', '$join_path', '$[]', '$posixify', '$web_root?', '$unc?', '$slice', '$index', '$split', '$shift', '$delete', '$[]=', '$-', '$*', '$raise', '$empty?', '$system_path', '$!=', '$!', '$dup', '$each', '$>', '$size', '$pop', '$fetch', '$warn', '$<<', '$end_with?', '$uri_prefix', '$gsub']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $PathResolver(){};\n      var self = $PathResolver = $klass($base, $super, 'PathResolver', $PathResolver);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_PathResolver_initialize_1, TMP_PathResolver_absolute_path$q_2, $a, TMP_PathResolver_root$q_3, TMP_PathResolver_unc$q_4, TMP_PathResolver_web_root$q_5, TMP_PathResolver_descends_from$q_6, TMP_PathResolver_posixify_7, TMP_PathResolver_expand_path_8, TMP_PathResolver_partition_path_9, TMP_PathResolver_join_path_10, TMP_PathResolver_system_path_12, TMP_PathResolver_web_path_14, TMP_PathResolver_relative_path_15;\n\n      def.file_separator = def._partition_path_web = def._partition_path_sys = def.working_dir = nil;\n      \n      Opal.const_set($nesting[0], 'DOT', \".\");\n      Opal.const_set($nesting[0], 'DOT_DOT', \"..\");\n      Opal.const_set($nesting[0], 'DOT_SLASH', \"./\");\n      Opal.const_set($nesting[0], 'SLASH', \"/\");\n      Opal.const_set($nesting[0], 'BACKSLASH', \"\\\\\");\n      Opal.const_set($nesting[0], 'DOUBLE_SLASH', \"//\");\n      Opal.const_set($nesting[0], 'WindowsRootRx', /^[a-zA-Z]:(?:\\\\|\\/)/);\n      self.$attr_accessor(\"file_separator\");\n      self.$attr_accessor(\"working_dir\");\n      \n      Opal.def(self, '$initialize', TMP_PathResolver_initialize_1 = function $$initialize(file_separator, working_dir) {\n        var $a, self = this;\n\n        if (file_separator == null) {\n          file_separator = nil;\n        }\n        if (working_dir == null) {\n          working_dir = nil;\n        }\n        \n        self.file_separator = (function() {if ($truthy(file_separator)) {\n          return file_separator\n        } else {\n          \n          return ($truthy($a = $$$($$$('::', 'File'), 'ALT_SEPARATOR')) ? $a : $$$($$$('::', 'File'), 'SEPARATOR'));\n        }; return nil; })();\n        if ($truthy(working_dir)) {\n          self.working_dir = (function() {if ($truthy(self['$root?'](working_dir))) {\n            return working_dir\n          } else {\n            \n            return $$$('::', 'File').$expand_path(working_dir);\n          }; return nil; })()\n        } else {\n          self.working_dir = $$$('::', 'File').$expand_path($$$('::', 'Dir').$pwd())\n        };\n        return $a = [$hash2([], {}), $hash2([], {})], (self._partition_path_sys = $a[0]), (self._partition_path_web = $a[1]), $a;\n      }, TMP_PathResolver_initialize_1.$$arity = -1);\n      \n      Opal.def(self, '$absolute_path?', TMP_PathResolver_absolute_path$q_2 = function(path) {\n        var $a, $b, self = this;\n\n        return ($truthy($a = path['$start_with?']($$($nesting, 'SLASH'))) ? $a : (($b = self.file_separator['$==']($$($nesting, 'BACKSLASH'))) ? $$($nesting, 'WindowsRootRx')['$match?'](path) : self.file_separator['$==']($$($nesting, 'BACKSLASH'))))\n      }, TMP_PathResolver_absolute_path$q_2.$$arity = 1);\n      if ($truthy((($a = $$($nesting, 'RUBY_ENGINE')['$=='](\"opal\")) ? $$$('::', 'JAVASCRIPT_IO_MODULE')['$=='](\"xmlhttprequest\") : $$($nesting, 'RUBY_ENGINE')['$=='](\"opal\")))) {\n        \n        Opal.def(self, '$root?', TMP_PathResolver_root$q_3 = function(path) {\n          var $a, self = this;\n\n          return ($truthy($a = self['$absolute_path?'](path)) ? $a : path['$start_with?'](\"file://\", \"http://\", \"https://\"))\n        }, TMP_PathResolver_root$q_3.$$arity = 1)\n      } else {\n        Opal.alias(self, \"root?\", \"absolute_path?\")\n      };\n      \n      Opal.def(self, '$unc?', TMP_PathResolver_unc$q_4 = function(path) {\n        var self = this;\n\n        return path['$start_with?']($$($nesting, 'DOUBLE_SLASH'))\n      }, TMP_PathResolver_unc$q_4.$$arity = 1);\n      \n      Opal.def(self, '$web_root?', TMP_PathResolver_web_root$q_5 = function(path) {\n        var self = this;\n\n        return path['$start_with?']($$($nesting, 'SLASH'))\n      }, TMP_PathResolver_web_root$q_5.$$arity = 1);\n      \n      Opal.def(self, '$descends_from?', TMP_PathResolver_descends_from$q_6 = function(path, base) {\n        var self = this;\n\n        if (base['$=='](path)) {\n          return 0\n        } else {\n          \n          if ($truthy(path['$start_with?']($rb_plus(base, \"/\")))) {\n            return $rb_plus(base.$length(), 1)\n          } else {\n            return false\n          };\n        }\n      }, TMP_PathResolver_descends_from$q_6.$$arity = 2);\n      \n      Opal.def(self, '$posixify', TMP_PathResolver_posixify_7 = function $$posixify(path) {\n        var self = this;\n\n        if ($truthy(path['$nil_or_empty?']())) {\n          return \"\"\n        } else if ($truthy(path['$include?']($$($nesting, 'BACKSLASH')))) {\n          return path.$tr($$($nesting, 'BACKSLASH'), $$($nesting, 'SLASH'))\n        } else {\n          return path\n        }\n      }, TMP_PathResolver_posixify_7.$$arity = 1);\n      Opal.alias(self, \"posixfy\", \"posixify\");\n      \n      Opal.def(self, '$expand_path', TMP_PathResolver_expand_path_8 = function $$expand_path(path) {\n        var $a, $b, self = this, path_segments = nil, path_root = nil, _ = nil;\n\n        \n        $b = self.$partition_path(path), $a = Opal.to_ary($b), (path_segments = ($a[0] == null ? nil : $a[0])), (path_root = ($a[1] == null ? nil : $a[1])), (_ = ($a[2] == null ? nil : $a[2])), $b;\n        return self.$join_path(path_segments, path_root);\n      }, TMP_PathResolver_expand_path_8.$$arity = 1);\n      \n      Opal.def(self, '$partition_path', TMP_PathResolver_partition_path_9 = function $$partition_path(path, web) {\n        var self = this, result = nil, cache = nil, posix_path = nil, root = nil, path_segments = nil, $writer = nil;\n\n        if (web == null) {\n          web = nil;\n        }\n        \n        if ($truthy((result = (cache = (function() {if ($truthy(web)) {\n          return self._partition_path_web\n        } else {\n          return self._partition_path_sys\n        }; return nil; })())['$[]'](path)))) {\n          return result};\n        posix_path = self.$posixify(path);\n        root = (function() {if ($truthy(web)) {\n          if ($truthy(self['$web_root?'](posix_path))) {\n            return $$($nesting, 'SLASH')\n          } else if ($truthy(posix_path['$start_with?']($$($nesting, 'DOT_SLASH')))) {\n            return $$($nesting, 'DOT_SLASH')\n          } else {\n            return nil\n          }\n        } else if ($truthy(self['$root?'](posix_path))) {\n          if ($truthy(self['$unc?'](posix_path))) {\n            return $$($nesting, 'DOUBLE_SLASH')\n          } else if ($truthy(posix_path['$start_with?']($$($nesting, 'SLASH')))) {\n            return $$($nesting, 'SLASH')\n          } else {\n            return posix_path.$slice(0, $rb_plus(posix_path.$index($$($nesting, 'SLASH')), 1))\n          }\n        } else if ($truthy(posix_path['$start_with?']($$($nesting, 'DOT_SLASH')))) {\n          return $$($nesting, 'DOT_SLASH')\n        } else {\n          return nil\n        }; return nil; })();\n        path_segments = posix_path.$split($$($nesting, 'SLASH'));\n        if (root['$==']($$($nesting, 'DOUBLE_SLASH'))) {\n          path_segments = path_segments['$[]']($range(2, -1, false))\n        } else if ($truthy(root)) {\n          path_segments.$shift()};\n        path_segments.$delete($$($nesting, 'DOT'));\n        \n        $writer = [path, [path_segments, root, posix_path]];\n        $send(cache, '[]=', Opal.to_a($writer));\n        return $writer[$rb_minus($writer[\"length\"], 1)];;\n      }, TMP_PathResolver_partition_path_9.$$arity = -2);\n      \n      Opal.def(self, '$join_path', TMP_PathResolver_join_path_10 = function $$join_path(segments, root) {\n        var self = this;\n\n        if (root == null) {\n          root = nil;\n        }\n        if ($truthy(root)) {\n          return \"\" + (root) + ($rb_times(segments, $$($nesting, 'SLASH')))\n        } else {\n          return $rb_times(segments, $$($nesting, 'SLASH'))\n        }\n      }, TMP_PathResolver_join_path_10.$$arity = -2);\n      \n      Opal.def(self, '$system_path', TMP_PathResolver_system_path_12 = function $$system_path(target, start, jail, opts) {\n        var $a, $b, TMP_11, self = this, target_segments = nil, target_root = nil, _ = nil, resolved_target = nil, jail_segments = nil, jail_root = nil, start_segments = nil, start_root = nil, resolved_segments = nil, warned = nil;\n\n        if (start == null) {\n          start = nil;\n        }\n        if (jail == null) {\n          jail = nil;\n        }\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        \n        if ($truthy(jail)) {\n          \n          if ($truthy(self['$root?'](jail))) {\n          } else {\n            self.$raise($$$('::', 'SecurityError'), \"\" + \"Jail is not an absolute path: \" + (jail))\n          };\n          jail = self.$posixify(jail);};\n        if ($truthy(target['$nil_or_empty?']())) {\n          target_segments = []\n        } else {\n          $b = self.$partition_path(target), $a = Opal.to_ary($b), (target_segments = ($a[0] == null ? nil : $a[0])), (target_root = ($a[1] == null ? nil : $a[1])), (_ = ($a[2] == null ? nil : $a[2])), $b\n        };\n        if ($truthy(target_segments['$empty?']())) {\n          if ($truthy(start['$nil_or_empty?']())) {\n            return (function() {if ($truthy(jail)) {\n              return jail\n            } else {\n              return self.working_dir\n            }; return nil; })()\n          } else if ($truthy(self['$root?'](start))) {\n            if ($truthy(jail)) {\n            } else {\n              return self.$expand_path(start)\n            }\n          } else {\n            return self.$system_path(start, jail, jail, opts)\n          }};\n        if ($truthy(($truthy($a = target_root) ? target_root['$!=']($$($nesting, 'DOT_SLASH')) : $a))) {\n          \n          resolved_target = self.$join_path(target_segments, target_root);\n          if ($truthy(($truthy($a = jail['$!']()) ? $a : resolved_target['$start_with?'](jail)))) {\n            return resolved_target};};\n        if ($truthy(start['$nil_or_empty?']())) {\n          start = (function() {if ($truthy(jail)) {\n            return jail\n          } else {\n            return self.working_dir\n          }; return nil; })()\n        } else if ($truthy(self['$root?'](start))) {\n          start = self.$posixify(start)\n        } else {\n          start = self.$system_path(start, jail, jail, opts)\n        };\n        if (jail['$=='](start)) {\n          \n          $b = self.$partition_path(jail), $a = Opal.to_ary($b), (jail_segments = ($a[0] == null ? nil : $a[0])), (jail_root = ($a[1] == null ? nil : $a[1])), (_ = ($a[2] == null ? nil : $a[2])), $b;\n          start_segments = jail_segments.$dup();\n        } else if ($truthy(jail)) {\n          \n          if ($truthy(start['$start_with?'](jail))) {\n          } else {\n            self.$raise($$$('::', 'SecurityError'), \"\" + (($truthy($a = opts['$[]'](\"target_name\")) ? $a : \"Start path\")) + \" \" + (start) + \" is outside of jail: \" + (jail) + \" (disallowed in safe mode)\")\n          };\n          $b = self.$partition_path(start), $a = Opal.to_ary($b), (start_segments = ($a[0] == null ? nil : $a[0])), (start_root = ($a[1] == null ? nil : $a[1])), (_ = ($a[2] == null ? nil : $a[2])), $b;\n          $b = self.$partition_path(jail), $a = Opal.to_ary($b), (jail_segments = ($a[0] == null ? nil : $a[0])), (jail_root = ($a[1] == null ? nil : $a[1])), (_ = ($a[2] == null ? nil : $a[2])), $b;\n        } else {\n          \n          $b = self.$partition_path(start), $a = Opal.to_ary($b), (start_segments = ($a[0] == null ? nil : $a[0])), (start_root = ($a[1] == null ? nil : $a[1])), (_ = ($a[2] == null ? nil : $a[2])), $b;\n          jail_root = start_root;\n        };\n        resolved_segments = start_segments.$dup();\n        warned = false;\n        $send(target_segments, 'each', [], (TMP_11 = function(segment){var self = TMP_11.$$s || this, $c, recover = nil;\nif (segment == null) segment = nil;\n        if (segment['$==']($$($nesting, 'DOT_DOT'))) {\n            if ($truthy(jail)) {\n              if ($truthy($rb_gt(resolved_segments.$size(), jail_segments.$size()))) {\n                return resolved_segments.$pop()\n              } else if ($truthy((recover = ($truthy($c = recover) ? $c : opts.$fetch(\"recover\", true)))['$!']())) {\n                return self.$raise($$$('::', 'SecurityError'), \"\" + (($truthy($c = opts['$[]'](\"target_name\")) ? $c : \"path\")) + \" \" + (target) + \" refers to location outside jail: \" + (jail) + \" (disallowed in safe mode)\")\n              } else if ($truthy(warned['$!']())) {\n                \n                self.$warn(\"\" + \"asciidoctor: WARNING: \" + (($truthy($c = opts['$[]'](\"target_name\")) ? $c : \"path\")) + \" has illegal reference to ancestor of jail, auto-recovering\");\n                return (warned = true);\n              } else {\n                return nil\n              }\n            } else {\n              return resolved_segments.$pop()\n            }\n          } else {\n            return resolved_segments['$<<'](segment)\n          }}, TMP_11.$$s = self, TMP_11.$$arity = 1, TMP_11));\n        return self.$join_path(resolved_segments, jail_root);\n      }, TMP_PathResolver_system_path_12.$$arity = -2);\n      \n      Opal.def(self, '$web_path', TMP_PathResolver_web_path_14 = function $$web_path(target, start) {\n        var $a, $b, TMP_13, self = this, uri_prefix = nil, target_segments = nil, target_root = nil, _ = nil, resolved_segments = nil, resolved_path = nil;\n\n        if (start == null) {\n          start = nil;\n        }\n        \n        target = self.$posixify(target);\n        start = self.$posixify(start);\n        uri_prefix = nil;\n        if ($truthy(($truthy($a = start['$nil_or_empty?']()) ? $a : self['$web_root?'](target)))) {\n        } else {\n          \n          target = (function() {if ($truthy(start['$end_with?']($$($nesting, 'SLASH')))) {\n            return \"\" + (start) + (target)\n          } else {\n            return \"\" + (start) + ($$($nesting, 'SLASH')) + (target)\n          }; return nil; })();\n          if ($truthy((uri_prefix = $$($nesting, 'Helpers').$uri_prefix(target)))) {\n            target = target['$[]'](Opal.Range.$new(uri_prefix.$length(), -1, false))};\n        };\n        $b = self.$partition_path(target, true), $a = Opal.to_ary($b), (target_segments = ($a[0] == null ? nil : $a[0])), (target_root = ($a[1] == null ? nil : $a[1])), (_ = ($a[2] == null ? nil : $a[2])), $b;\n        resolved_segments = [];\n        $send(target_segments, 'each', [], (TMP_13 = function(segment){var self = TMP_13.$$s || this, $c;\nif (segment == null) segment = nil;\n        if (segment['$==']($$($nesting, 'DOT_DOT'))) {\n            if ($truthy(resolved_segments['$empty?']())) {\n              if ($truthy(($truthy($c = target_root) ? target_root['$!=']($$($nesting, 'DOT_SLASH')) : $c))) {\n                return nil\n              } else {\n                return resolved_segments['$<<'](segment)\n              }\n            } else if (resolved_segments['$[]'](-1)['$==']($$($nesting, 'DOT_DOT'))) {\n              return resolved_segments['$<<'](segment)\n            } else {\n              return resolved_segments.$pop()\n            }\n          } else {\n            return resolved_segments['$<<'](segment)\n          }}, TMP_13.$$s = self, TMP_13.$$arity = 1, TMP_13));\n        if ($truthy((resolved_path = self.$join_path(resolved_segments, target_root))['$include?'](\" \"))) {\n          resolved_path = resolved_path.$gsub(\" \", \"%20\")};\n        if ($truthy(uri_prefix)) {\n          return \"\" + (uri_prefix) + (resolved_path)\n        } else {\n          return resolved_path\n        };\n      }, TMP_PathResolver_web_path_14.$$arity = -2);\n      return (Opal.def(self, '$relative_path', TMP_PathResolver_relative_path_15 = function $$relative_path(filename, base_directory) {\n        var $a, self = this;\n\n        if ($truthy(($truthy($a = self['$root?'](filename)) ? filename['$start_with?'](base_directory) : $a))) {\n          return filename.$slice($rb_plus(base_directory.$length(), 1), filename.$length())\n        } else {\n          return filename\n        }\n      }, TMP_PathResolver_relative_path_15.$$arity = 2), nil) && 'relative_path';\n    })($nesting[0], null, $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/reader\"] = function(Opal) {\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  function $rb_ge(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs >= rhs : lhs['$>='](rhs);\n  }\n  function $rb_divide(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs / rhs : lhs['$/'](rhs);\n  }\n  function $rb_le(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs <= rhs : lhs['$<='](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $truthy = Opal.truthy, $hash2 = Opal.hash2, $range = Opal.range, $send = Opal.send, $gvars = Opal.gvars, $hash = Opal.hash;\n\n  Opal.add_stubs(['$attr_accessor', '$path', '$lineno', '$attr_reader', '$!', '$===', '$split', '$file', '$dir', '$dirname', '$==', '$basename', '$prepare_lines', '$dup', '$[]', '$normalize_lines_from_string', '$normalize_lines_array', '$+', '$empty?', '$nil_or_empty?', '$peek_line', '$>', '$process_line', '$times', '$shift', '$read_line', '$<<', '$-', '$unshift_all', '$has_more_lines?', '$*', '$read_lines', '$unshift', '$start_with?', '$length', '$push', '$read_lines_until', '$size', '$clear', '$[]=', '$new', '$line_info', '$to_i', '$fetch', '$attributes', '$<', '$catalog', '$key?', '$skip_front_matter!', '$pop', '$adjust_indentation!', '$attr', '$end_with?', '$include?', '$=~', '$preprocess_conditional_directive', '$preprocess_include_directive', '$strip', '$pop_include', '$downcase', '$warn', '$none?', '$any?', '$all?', '$resolve_expr_val', '$send', '$to_sym', '$replace_next_line', '$rstrip', '$sub_attributes', '$attribute_missing', '$include_processors?', '$find', '$handles?', '$instance', '$process_method', '$parse', '$>=', '$safe', '$resolve_include_path', '$each', '$map', '$/', '$concat', '$to_a', '$uniq', '$sort', '$slice', '$open', '$each_line', '$infinite?', '$push_include', '$delete', '$value?', '$rindex', '$force_encoding', '$chomp', '$delete_at', '$nil?', '$keys', '$read', '$uriish?', '$require_library', '$normalize_system_path', '$file?', '$relative_path', '$base_dir', '$extname', '$rootname', '$<=', '$!=', '$to_f', '$extensions?', '$extensions', '$include_processors', '$class', '$object_id', '$inspect', '$to_s']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    \n    (function($base, $super, $parent_nesting) {\n      function $Reader(){};\n      var self = $Reader = $klass($base, $super, 'Reader', $Reader);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Reader_initialize_3, TMP_Reader_prepare_lines_4, TMP_Reader_process_line_5, TMP_Reader_has_more_lines$q_6, TMP_Reader_empty$q_7, TMP_Reader_next_line_empty$q_8, TMP_Reader_peek_line_9, TMP_Reader_peek_lines_11, TMP_Reader_read_line_12, TMP_Reader_read_lines_13, TMP_Reader_read_14, TMP_Reader_advance_15, TMP_Reader_unshift_line_16, TMP_Reader_unshift_lines_17, TMP_Reader_replace_next_line_18, TMP_Reader_skip_blank_lines_19, TMP_Reader_skip_comment_lines_20, TMP_Reader_skip_line_comments_21, TMP_Reader_terminate_22, TMP_Reader_read_lines_until_23, TMP_Reader_shift_24, TMP_Reader_unshift_25, TMP_Reader_unshift_all_26, TMP_Reader_cursor_27, TMP_Reader_line_info_28, TMP_Reader_prev_line_info_29, TMP_Reader_lines_30, TMP_Reader_string_31, TMP_Reader_source_32, TMP_Reader_to_s_33;\n\n      def.file = def.dir = def.lines = def.process_lines = def.look_ahead = def.unescape_next_line = def.lineno = def.path = def.source_lines = nil;\n      \n      (function($base, $super, $parent_nesting) {\n        function $Cursor(){};\n        var self = $Cursor = $klass($base, $super, 'Cursor', $Cursor);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Cursor_initialize_1, TMP_Cursor_line_info_2;\n\n        \n        self.$attr_accessor(\"file\");\n        self.$attr_accessor(\"dir\");\n        self.$attr_accessor(\"path\");\n        self.$attr_accessor(\"lineno\");\n        \n        Opal.def(self, '$initialize', TMP_Cursor_initialize_1 = function $$initialize(file, dir, path, lineno) {\n          var self = this;\n\n          if (dir == null) {\n            dir = nil;\n          }\n          if (path == null) {\n            path = nil;\n          }\n          if (lineno == null) {\n            lineno = nil;\n          }\n          \n          self.file = file;\n          self.dir = dir;\n          self.path = path;\n          return (self.lineno = lineno);\n        }, TMP_Cursor_initialize_1.$$arity = -2);\n        \n        Opal.def(self, '$line_info', TMP_Cursor_line_info_2 = function $$line_info() {\n          var self = this;\n\n          return \"\" + (self.$path()) + \": line \" + (self.$lineno())\n        }, TMP_Cursor_line_info_2.$$arity = 0);\n        return Opal.alias(self, \"to_s\", \"line_info\");\n      })($nesting[0], null, $nesting);\n      self.$attr_reader(\"file\");\n      self.$attr_reader(\"dir\");\n      self.$attr_reader(\"path\");\n      self.$attr_reader(\"lineno\");\n      self.$attr_reader(\"source_lines\");\n      self.$attr_accessor(\"process_lines\");\n      \n      Opal.def(self, '$initialize', TMP_Reader_initialize_3 = function $$initialize(data, cursor, opts) {\n        var $a, $b, self = this;\n\n        if (data == null) {\n          data = nil;\n        }\n        if (cursor == null) {\n          cursor = nil;\n        }\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        \n        if ($truthy(cursor['$!']())) {\n          \n          self.file = (self.dir = nil);\n          self.path = \"<stdin>\";\n          self.lineno = 1;\n        } else if ($truthy($$$('::', 'String')['$==='](cursor))) {\n          \n          self.file = cursor;\n          $b = $$$('::', 'File').$split(self.file), $a = Opal.to_ary($b), (self.dir = ($a[0] == null ? nil : $a[0])), (self.path = ($a[1] == null ? nil : $a[1])), $b;\n          self.lineno = 1;\n        } else {\n          \n          self.file = cursor.$file();\n          self.dir = cursor.$dir();\n          self.path = ($truthy($a = cursor.$path()) ? $a : \"<stdin>\");\n          if ($truthy(self.file)) {\n            \n            if ($truthy(self.dir)) {\n            } else {\n              \n              self.dir = $$$('::', 'File').$dirname(self.file);\n              if (self.dir['$=='](\".\")) {\n                self.dir = nil};\n            };\n            if ($truthy(cursor.$path())) {\n            } else {\n              self.path = $$$('::', 'File').$basename(self.file)\n            };};\n          self.lineno = ($truthy($a = cursor.$lineno()) ? $a : 1);\n        };\n        self.lines = (function() {if ($truthy(data)) {\n          \n          return self.$prepare_lines(data, opts);\n        } else {\n          return []\n        }; return nil; })();\n        self.source_lines = self.lines.$dup();\n        self.look_ahead = 0;\n        self.process_lines = true;\n        return (self.unescape_next_line = false);\n      }, TMP_Reader_initialize_3.$$arity = -1);\n      \n      Opal.def(self, '$prepare_lines', TMP_Reader_prepare_lines_4 = function $$prepare_lines(data, opts) {\n        var self = this;\n\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        if ($truthy($$$('::', 'String')['$==='](data))) {\n          if ($truthy(opts['$[]'](\"normalize\"))) {\n            return $$($nesting, 'Helpers').$normalize_lines_from_string(data)\n          } else {\n            return data.$split($$($nesting, 'LF'), -1)\n          }\n        } else if ($truthy(opts['$[]'](\"normalize\"))) {\n          return $$($nesting, 'Helpers').$normalize_lines_array(data)\n        } else {\n          return data.$dup()\n        }\n      }, TMP_Reader_prepare_lines_4.$$arity = -2);\n      \n      Opal.def(self, '$process_line', TMP_Reader_process_line_5 = function $$process_line(line) {\n        var self = this;\n\n        \n        if ($truthy(self.process_lines)) {\n          self.look_ahead = $rb_plus(self.look_ahead, 1)};\n        return line;\n      }, TMP_Reader_process_line_5.$$arity = 1);\n      \n      Opal.def(self, '$has_more_lines?', TMP_Reader_has_more_lines$q_6 = function() {\n        var self = this;\n\n        if ($truthy(self.lines['$empty?']())) {\n          \n          self.look_ahead = 0;\n          return false;\n        } else {\n          return true\n        }\n      }, TMP_Reader_has_more_lines$q_6.$$arity = 0);\n      \n      Opal.def(self, '$empty?', TMP_Reader_empty$q_7 = function() {\n        var self = this;\n\n        if ($truthy(self.lines['$empty?']())) {\n          \n          self.look_ahead = 0;\n          return true;\n        } else {\n          return false\n        }\n      }, TMP_Reader_empty$q_7.$$arity = 0);\n      Opal.alias(self, \"eof?\", \"empty?\");\n      \n      Opal.def(self, '$next_line_empty?', TMP_Reader_next_line_empty$q_8 = function() {\n        var self = this;\n\n        return self.$peek_line()['$nil_or_empty?']()\n      }, TMP_Reader_next_line_empty$q_8.$$arity = 0);\n      \n      Opal.def(self, '$peek_line', TMP_Reader_peek_line_9 = function $$peek_line(direct) {\n        var $a, self = this, line = nil;\n\n        if (direct == null) {\n          direct = false;\n        }\n        if ($truthy(($truthy($a = direct) ? $a : $rb_gt(self.look_ahead, 0)))) {\n          if ($truthy(self.unescape_next_line)) {\n            return self.lines['$[]'](0)['$[]']($range(1, -1, false))\n          } else {\n            return self.lines['$[]'](0)\n          }\n        } else if ($truthy(self.lines['$empty?']())) {\n          \n          self.look_ahead = 0;\n          return nil;\n        } else if ($truthy((line = self.$process_line(self.lines['$[]'](0))))) {\n          return line\n        } else {\n          return self.$peek_line()\n        }\n      }, TMP_Reader_peek_line_9.$$arity = -1);\n      \n      Opal.def(self, '$peek_lines', TMP_Reader_peek_lines_11 = function $$peek_lines(num, direct) {\n        var TMP_10, self = this, old_look_ahead = nil, result = nil;\n\n        if (direct == null) {\n          direct = false;\n        }\n        \n        old_look_ahead = self.look_ahead;\n        result = [];\n        (function(){var $brk = Opal.new_brk(); try {return $send(num, 'times', [], (TMP_10 = function(){var self = TMP_10.$$s || this, line = nil;\n          if (self.lineno == null) self.lineno = nil;\n\n        if ($truthy((line = (function() {if ($truthy(direct)) {\n            return self.$shift()\n          } else {\n            return self.$read_line()\n          }; return nil; })()))) {\n            return result['$<<'](line)\n          } else {\n            \n            if ($truthy(direct)) {\n              self.lineno = $rb_minus(self.lineno, 1)};\n            \n            Opal.brk(nil, $brk);\n          }}, TMP_10.$$s = self, TMP_10.$$brk = $brk, TMP_10.$$arity = 0, TMP_10))\n        } catch (err) { if (err === $brk) { return err.$v } else { throw err } }})();\n        if ($truthy(result['$empty?']())) {\n        } else {\n          \n          self.$unshift_all(result);\n          if ($truthy(direct)) {\n            self.look_ahead = old_look_ahead};\n        };\n        return result;\n      }, TMP_Reader_peek_lines_11.$$arity = -2);\n      \n      Opal.def(self, '$read_line', TMP_Reader_read_line_12 = function $$read_line() {\n        var $a, self = this;\n\n        if ($truthy(($truthy($a = $rb_gt(self.look_ahead, 0)) ? $a : self['$has_more_lines?']()))) {\n          return self.$shift()\n        } else {\n          return nil\n        }\n      }, TMP_Reader_read_line_12.$$arity = 0);\n      \n      Opal.def(self, '$read_lines', TMP_Reader_read_lines_13 = function $$read_lines() {\n        var $a, self = this, lines = nil;\n\n        \n        lines = [];\n        while ($truthy(self['$has_more_lines?']())) {\n          lines['$<<'](self.$shift())\n        };\n        return lines;\n      }, TMP_Reader_read_lines_13.$$arity = 0);\n      Opal.alias(self, \"readlines\", \"read_lines\");\n      \n      Opal.def(self, '$read', TMP_Reader_read_14 = function $$read() {\n        var self = this;\n\n        return $rb_times(self.$read_lines(), $$($nesting, 'LF'))\n      }, TMP_Reader_read_14.$$arity = 0);\n      \n      Opal.def(self, '$advance', TMP_Reader_advance_15 = function $$advance() {\n        var self = this;\n\n        if ($truthy(self.$shift())) {\n          return true\n        } else {\n          return false\n        }\n      }, TMP_Reader_advance_15.$$arity = 0);\n      \n      Opal.def(self, '$unshift_line', TMP_Reader_unshift_line_16 = function $$unshift_line(line_to_restore) {\n        var self = this;\n\n        \n        self.$unshift(line_to_restore);\n        return nil;\n      }, TMP_Reader_unshift_line_16.$$arity = 1);\n      Opal.alias(self, \"restore_line\", \"unshift_line\");\n      \n      Opal.def(self, '$unshift_lines', TMP_Reader_unshift_lines_17 = function $$unshift_lines(lines_to_restore) {\n        var self = this;\n\n        \n        self.$unshift_all(lines_to_restore);\n        return nil;\n      }, TMP_Reader_unshift_lines_17.$$arity = 1);\n      Opal.alias(self, \"restore_lines\", \"unshift_lines\");\n      \n      Opal.def(self, '$replace_next_line', TMP_Reader_replace_next_line_18 = function $$replace_next_line(replacement) {\n        var self = this;\n\n        \n        self.$shift();\n        self.$unshift(replacement);\n        return true;\n      }, TMP_Reader_replace_next_line_18.$$arity = 1);\n      Opal.alias(self, \"replace_line\", \"replace_next_line\");\n      \n      Opal.def(self, '$skip_blank_lines', TMP_Reader_skip_blank_lines_19 = function $$skip_blank_lines() {\n        var $a, self = this, num_skipped = nil, next_line = nil;\n\n        \n        if ($truthy(self['$empty?']())) {\n          return nil};\n        num_skipped = 0;\n        while ($truthy((next_line = self.$peek_line()))) {\n          if ($truthy(next_line['$empty?']())) {\n            \n            self.$shift();\n            num_skipped = $rb_plus(num_skipped, 1);\n          } else {\n            return num_skipped\n          }\n        };\n      }, TMP_Reader_skip_blank_lines_19.$$arity = 0);\n      \n      Opal.def(self, '$skip_comment_lines', TMP_Reader_skip_comment_lines_20 = function $$skip_comment_lines() {\n        var $a, $b, self = this, comment_lines = nil, next_line = nil, ll = nil;\n\n        \n        if ($truthy(self['$empty?']())) {\n          return []};\n        comment_lines = [];\n        while ($truthy(($truthy($b = (next_line = self.$peek_line())) ? next_line['$empty?']()['$!']() : $b))) {\n          if ($truthy(next_line['$start_with?'](\"//\"))) {\n            if ($truthy(next_line['$start_with?'](\"///\"))) {\n              if ($truthy(($truthy($b = $rb_gt((ll = next_line.$length()), 3)) ? next_line['$==']($rb_times(\"/\", ll)) : $b))) {\n                \n                comment_lines['$<<'](self.$shift());\n                $send(comment_lines, 'push', Opal.to_a(self.$read_lines_until($hash2([\"terminator\", \"read_last_line\", \"skip_processing\"], {\"terminator\": next_line, \"read_last_line\": true, \"skip_processing\": true}))));\n              } else {\n                break;\n              }\n            } else {\n              comment_lines['$<<'](self.$shift())\n            }\n          } else {\n            break;\n          }\n        };\n        return comment_lines;\n      }, TMP_Reader_skip_comment_lines_20.$$arity = 0);\n      \n      Opal.def(self, '$skip_line_comments', TMP_Reader_skip_line_comments_21 = function $$skip_line_comments() {\n        var $a, $b, self = this, comment_lines = nil, next_line = nil;\n\n        \n        if ($truthy(self['$empty?']())) {\n          return []};\n        comment_lines = [];\n        while ($truthy(($truthy($b = (next_line = self.$peek_line())) ? next_line['$empty?']()['$!']() : $b))) {\n          if ($truthy(next_line['$start_with?'](\"//\"))) {\n            comment_lines['$<<'](self.$shift())\n          } else {\n            break;\n          }\n        };\n        return comment_lines;\n      }, TMP_Reader_skip_line_comments_21.$$arity = 0);\n      \n      Opal.def(self, '$terminate', TMP_Reader_terminate_22 = function $$terminate() {\n        var self = this;\n\n        \n        self.lineno = $rb_plus(self.lineno, self.lines.$size());\n        self.lines.$clear();\n        self.look_ahead = 0;\n        return nil;\n      }, TMP_Reader_terminate_22.$$arity = 0);\n      \n      Opal.def(self, '$read_lines_until', TMP_Reader_read_lines_until_23 = function $$read_lines_until(options) {\n        var $a, $b, $c, $d, self = this, $iter = TMP_Reader_read_lines_until_23.$$p, $yield = $iter || nil, result = nil, restore_process_lines = nil, terminator = nil, break_on_blank_lines = nil, break_on_list_continuation = nil, skip_comments = nil, line_read = nil, line_restored = nil, complete = nil, line = nil, $writer = nil;\n\n        if (options == null) {\n          options = $hash2([], {});\n        }\n        if ($iter) TMP_Reader_read_lines_until_23.$$p = null;\n        \n        result = [];\n        if ($truthy(options['$[]'](\"skip_first_line\"))) {\n          self.$shift()};\n        if ($truthy(($truthy($a = self.process_lines) ? options['$[]'](\"skip_processing\") : $a))) {\n          \n          self.process_lines = false;\n          restore_process_lines = true;\n        } else {\n          restore_process_lines = false\n        };\n        if ($truthy((terminator = options['$[]'](\"terminator\")))) {\n          \n          break_on_blank_lines = false;\n          break_on_list_continuation = false;\n        } else {\n          \n          break_on_blank_lines = options['$[]'](\"break_on_blank_lines\");\n          break_on_list_continuation = options['$[]'](\"break_on_list_continuation\");\n        };\n        skip_comments = options['$[]'](\"skip_line_comments\");\n        line_read = false;\n        line_restored = false;\n        complete = false;\n        while ($truthy(($truthy($b = complete['$!']()) ? (line = self.$read_line()) : $b))) {\n          \n          complete = (function() {while ($truthy(true)) {\n            \n            if ($truthy(($truthy($c = terminator) ? line['$=='](terminator) : $c))) {\n              return true};\n            if ($truthy(($truthy($c = break_on_blank_lines) ? line['$empty?']() : $c))) {\n              return true};\n            if ($truthy(($truthy($c = ($truthy($d = break_on_list_continuation) ? line_read : $d)) ? line['$==']($$($nesting, 'LIST_CONTINUATION')) : $c))) {\n              \n              \n              $writer = [\"preserve_last_line\", true];\n              $send(options, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;\n              return true;};\n            if ($truthy((($c = ($yield !== nil)) ? Opal.yield1($yield, line) : ($yield !== nil)))) {\n              return true};\n            return false;\n          }; return nil; })();\n          if ($truthy(complete)) {\n            \n            if ($truthy(options['$[]'](\"read_last_line\"))) {\n              \n              result['$<<'](line);\n              line_read = true;};\n            if ($truthy(options['$[]'](\"preserve_last_line\"))) {\n              \n              self.$unshift(line);\n              line_restored = true;};\n          } else if ($truthy(($truthy($b = ($truthy($c = skip_comments) ? line['$start_with?'](\"//\") : $c)) ? line['$start_with?'](\"///\")['$!']() : $b))) {\n          } else {\n            \n            result['$<<'](line);\n            line_read = true;\n          };\n        };\n        if ($truthy(restore_process_lines)) {\n          \n          self.process_lines = true;\n          if ($truthy(($truthy($a = line_restored) ? terminator['$!']() : $a))) {\n            self.look_ahead = $rb_minus(self.look_ahead, 1)};};\n        return result;\n      }, TMP_Reader_read_lines_until_23.$$arity = -1);\n      \n      Opal.def(self, '$shift', TMP_Reader_shift_24 = function $$shift() {\n        var self = this;\n\n        \n        self.lineno = $rb_plus(self.lineno, 1);\n        if (self.look_ahead['$=='](0)) {\n        } else {\n          self.look_ahead = $rb_minus(self.look_ahead, 1)\n        };\n        return self.lines.$shift();\n      }, TMP_Reader_shift_24.$$arity = 0);\n      \n      Opal.def(self, '$unshift', TMP_Reader_unshift_25 = function $$unshift(line) {\n        var self = this;\n\n        \n        self.lineno = $rb_minus(self.lineno, 1);\n        self.look_ahead = $rb_plus(self.look_ahead, 1);\n        return self.lines.$unshift(line);\n      }, TMP_Reader_unshift_25.$$arity = 1);\n      \n      Opal.def(self, '$unshift_all', TMP_Reader_unshift_all_26 = function $$unshift_all(lines) {\n        var self = this;\n\n        \n        self.lineno = $rb_minus(self.lineno, lines.$size());\n        self.look_ahead = $rb_plus(self.look_ahead, lines.$size());\n        return $send(self.lines, 'unshift', Opal.to_a(lines));\n      }, TMP_Reader_unshift_all_26.$$arity = 1);\n      \n      Opal.def(self, '$cursor', TMP_Reader_cursor_27 = function $$cursor() {\n        var self = this;\n\n        return $$($nesting, 'Cursor').$new(self.file, self.dir, self.path, self.lineno)\n      }, TMP_Reader_cursor_27.$$arity = 0);\n      \n      Opal.def(self, '$line_info', TMP_Reader_line_info_28 = function $$line_info() {\n        var self = this;\n\n        return \"\" + (self.path) + \": line \" + (self.lineno)\n      }, TMP_Reader_line_info_28.$$arity = 0);\n      Opal.alias(self, \"next_line_info\", \"line_info\");\n      \n      Opal.def(self, '$prev_line_info', TMP_Reader_prev_line_info_29 = function $$prev_line_info() {\n        var self = this;\n\n        return \"\" + (self.path) + \": line \" + ($rb_minus(self.lineno, 1))\n      }, TMP_Reader_prev_line_info_29.$$arity = 0);\n      \n      Opal.def(self, '$lines', TMP_Reader_lines_30 = function $$lines() {\n        var self = this;\n\n        return self.lines.$dup()\n      }, TMP_Reader_lines_30.$$arity = 0);\n      \n      Opal.def(self, '$string', TMP_Reader_string_31 = function $$string() {\n        var self = this;\n\n        return $rb_times(self.lines, $$($nesting, 'LF'))\n      }, TMP_Reader_string_31.$$arity = 0);\n      \n      Opal.def(self, '$source', TMP_Reader_source_32 = function $$source() {\n        var self = this;\n\n        return $rb_times(self.source_lines, $$($nesting, 'LF'))\n      }, TMP_Reader_source_32.$$arity = 0);\n      return (Opal.def(self, '$to_s', TMP_Reader_to_s_33 = function $$to_s() {\n        var self = this;\n\n        return self.$line_info()\n      }, TMP_Reader_to_s_33.$$arity = 0), nil) && 'to_s';\n    })($nesting[0], null, $nesting);\n    (function($base, $super, $parent_nesting) {\n      function $PreprocessorReader(){};\n      var self = $PreprocessorReader = $klass($base, $super, 'PreprocessorReader', $PreprocessorReader);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_PreprocessorReader_initialize_34, TMP_PreprocessorReader_prepare_lines_35, TMP_PreprocessorReader_process_line_36, TMP_PreprocessorReader_has_more_lines$q_37, TMP_PreprocessorReader_empty$q_38, TMP_PreprocessorReader_peek_line_39, TMP_PreprocessorReader_preprocess_conditional_directive_44, TMP_PreprocessorReader_preprocess_include_directive_55, TMP_PreprocessorReader_resolve_include_path_56, TMP_PreprocessorReader_push_include_57, TMP_PreprocessorReader_pop_include_58, TMP_PreprocessorReader_include_depth_59, TMP_PreprocessorReader_exceeded_max_depth$q_60, TMP_PreprocessorReader_shift_61, TMP_PreprocessorReader_skip_front_matter$B_62, TMP_PreprocessorReader_resolve_expr_val_63, TMP_PreprocessorReader_include_processors$q_64, TMP_PreprocessorReader_to_s_66;\n\n      def.document = def.lineno = def.process_lines = def.look_ahead = def.skipping = def.include_stack = def.conditional_stack = def.path = def.include_processor_extensions = def.maxdepth = def.dir = def.path_resolver = def.lines = def.file = def.includes = def.unescape_next_line = nil;\n      \n      self.$attr_reader(\"include_stack\");\n      self.$attr_reader(\"includes\");\n      \n      Opal.def(self, '$initialize', TMP_PreprocessorReader_initialize_34 = function $$initialize(document, data, cursor, opts) {\n        var self = this, $iter = TMP_PreprocessorReader_initialize_34.$$p, $yield = $iter || nil, include_depth_default = nil;\n\n        if (data == null) {\n          data = nil;\n        }\n        if (cursor == null) {\n          cursor = nil;\n        }\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        if ($iter) TMP_PreprocessorReader_initialize_34.$$p = null;\n        \n        self.document = document;\n        $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_PreprocessorReader_initialize_34, false), [data, cursor, opts], null);\n        include_depth_default = document.$attributes().$fetch(\"max-include-depth\", 64).$to_i();\n        if ($truthy($rb_lt(include_depth_default, 0))) {\n          include_depth_default = 0};\n        self.maxdepth = $hash2([\"abs\", \"rel\"], {\"abs\": include_depth_default, \"rel\": include_depth_default});\n        self.include_stack = [];\n        self.includes = document.$catalog()['$[]'](\"includes\");\n        self.skipping = false;\n        self.conditional_stack = [];\n        return (self.include_processor_extensions = nil);\n      }, TMP_PreprocessorReader_initialize_34.$$arity = -2);\n      \n      Opal.def(self, '$prepare_lines', TMP_PreprocessorReader_prepare_lines_35 = function $$prepare_lines(data, opts) {\n        var $a, $b, self = this, $iter = TMP_PreprocessorReader_prepare_lines_35.$$p, $yield = $iter || nil, result = nil, front_matter = nil, $writer = nil, first = nil, last = nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        if ($iter) TMP_PreprocessorReader_prepare_lines_35.$$p = null;\n        // Prepare super implicit arguments\n        for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n          $zuper[$zuper_i] = arguments[$zuper_i];\n        }\n        \n        result = $send(self, Opal.find_super_dispatcher(self, 'prepare_lines', TMP_PreprocessorReader_prepare_lines_35, false), $zuper, $iter);\n        if ($truthy(($truthy($a = self.document) ? self.document.$attributes()['$key?'](\"skip-front-matter\") : $a))) {\n          if ($truthy((front_matter = self['$skip_front_matter!'](result)))) {\n            \n            $writer = [\"front-matter\", $rb_times(front_matter, $$($nesting, 'LF'))];\n            $send(self.document.$attributes(), '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];}};\n        if ($truthy(opts.$fetch(\"condense\", true))) {\n          \n          while ($truthy(($truthy($b = (first = result['$[]'](0))) ? first['$empty?']() : $b))) {\n            ($truthy($b = result.$shift()) ? (self.lineno = $rb_plus(self.lineno, 1)) : $b)\n          };\n          while ($truthy(($truthy($b = (last = result['$[]'](-1))) ? last['$empty?']() : $b))) {\n            result.$pop()\n          };};\n        if ($truthy(opts['$[]'](\"indent\"))) {\n          $$($nesting, 'Parser')['$adjust_indentation!'](result, opts['$[]'](\"indent\"), self.document.$attr(\"tabsize\"))};\n        return result;\n      }, TMP_PreprocessorReader_prepare_lines_35.$$arity = -2);\n      \n      Opal.def(self, '$process_line', TMP_PreprocessorReader_process_line_36 = function $$process_line(line) {\n        var $a, $b, self = this;\n\n        \n        if ($truthy(self.process_lines)) {\n        } else {\n          return line\n        };\n        if ($truthy(line['$empty?']())) {\n          \n          self.look_ahead = $rb_plus(self.look_ahead, 1);\n          return line;};\n        if ($truthy(($truthy($a = ($truthy($b = line['$end_with?'](\"]\")) ? line['$start_with?'](\"[\")['$!']() : $b)) ? line['$include?'](\"::\") : $a))) {\n          if ($truthy(($truthy($a = line['$include?'](\"if\")) ? $$($nesting, 'ConditionalDirectiveRx')['$=~'](line) : $a))) {\n            if ((($a = $gvars['~']) === nil ? nil : $a['$[]'](1))['$=='](\"\\\\\")) {\n              \n              self.unescape_next_line = true;\n              self.look_ahead = $rb_plus(self.look_ahead, 1);\n              return line['$[]']($range(1, -1, false));\n            } else if ($truthy(self.$preprocess_conditional_directive((($a = $gvars['~']) === nil ? nil : $a['$[]'](2)), (($a = $gvars['~']) === nil ? nil : $a['$[]'](3)), (($a = $gvars['~']) === nil ? nil : $a['$[]'](4)), (($a = $gvars['~']) === nil ? nil : $a['$[]'](5))))) {\n              \n              self.$shift();\n              return nil;\n            } else {\n              \n              self.look_ahead = $rb_plus(self.look_ahead, 1);\n              return line;\n            }\n          } else if ($truthy(self.skipping)) {\n            \n            self.$shift();\n            return nil;\n          } else if ($truthy(($truthy($a = line['$start_with?'](\"inc\", \"\\\\inc\")) ? $$($nesting, 'IncludeDirectiveRx')['$=~'](line) : $a))) {\n            if ((($a = $gvars['~']) === nil ? nil : $a['$[]'](1))['$=='](\"\\\\\")) {\n              \n              self.unescape_next_line = true;\n              self.look_ahead = $rb_plus(self.look_ahead, 1);\n              return line['$[]']($range(1, -1, false));\n            } else if ($truthy(self.$preprocess_include_directive((($a = $gvars['~']) === nil ? nil : $a['$[]'](2)), (($a = $gvars['~']) === nil ? nil : $a['$[]'](3)).$strip()))) {\n              return nil\n            } else {\n              \n              self.look_ahead = $rb_plus(self.look_ahead, 1);\n              return line;\n            }\n          } else {\n            \n            self.look_ahead = $rb_plus(self.look_ahead, 1);\n            return line;\n          }\n        } else if ($truthy(self.skipping)) {\n          \n          self.$shift();\n          return nil;\n        } else {\n          \n          self.look_ahead = $rb_plus(self.look_ahead, 1);\n          return line;\n        };\n      }, TMP_PreprocessorReader_process_line_36.$$arity = 1);\n      \n      Opal.def(self, '$has_more_lines?', TMP_PreprocessorReader_has_more_lines$q_37 = function() {\n        var self = this;\n\n        if ($truthy(self.$peek_line())) {\n          return true\n        } else {\n          return false\n        }\n      }, TMP_PreprocessorReader_has_more_lines$q_37.$$arity = 0);\n      \n      Opal.def(self, '$empty?', TMP_PreprocessorReader_empty$q_38 = function() {\n        var self = this;\n\n        if ($truthy(self.$peek_line())) {\n          return false\n        } else {\n          return true\n        }\n      }, TMP_PreprocessorReader_empty$q_38.$$arity = 0);\n      Opal.alias(self, \"eof?\", \"empty?\");\n      \n      Opal.def(self, '$peek_line', TMP_PreprocessorReader_peek_line_39 = function $$peek_line(direct) {\n        var self = this, $iter = TMP_PreprocessorReader_peek_line_39.$$p, $yield = $iter || nil, line = nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n        if (direct == null) {\n          direct = false;\n        }\n        if ($iter) TMP_PreprocessorReader_peek_line_39.$$p = null;\n        // Prepare super implicit arguments\n        for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n          $zuper[$zuper_i] = arguments[$zuper_i];\n        }\n        if ($truthy((line = $send(self, Opal.find_super_dispatcher(self, 'peek_line', TMP_PreprocessorReader_peek_line_39, false), $zuper, $iter)))) {\n          return line\n        } else if ($truthy(self.include_stack['$empty?']())) {\n          return nil\n        } else {\n          \n          self.$pop_include();\n          return self.$peek_line(direct);\n        }\n      }, TMP_PreprocessorReader_peek_line_39.$$arity = -1);\n      \n      Opal.def(self, '$preprocess_conditional_directive', TMP_PreprocessorReader_preprocess_conditional_directive_44 = function $$preprocess_conditional_directive(keyword, target, delimiter, text) {\n        var $a, $b, $c, TMP_40, TMP_41, TMP_42, TMP_43, self = this, no_target = nil, pair = nil, skip = nil, $case = nil, lhs = nil, op = nil, rhs = nil;\n\n        \n        if ($truthy((no_target = target['$empty?']()))) {\n        } else {\n          target = target.$downcase()\n        };\n        if ($truthy(($truthy($a = ($truthy($b = no_target) ? ($truthy($c = keyword['$=='](\"ifdef\")) ? $c : keyword['$=='](\"ifndef\")) : $b)) ? $a : ($truthy($b = text) ? keyword['$=='](\"endif\") : $b)))) {\n          return false};\n        if (keyword['$=='](\"endif\")) {\n          \n          if ($truthy(self.conditional_stack['$empty?']())) {\n            self.$warn(\"\" + \"asciidoctor: ERROR: \" + (self.$line_info()) + \": unmatched macro: endif::\" + (target) + \"[]\")\n          } else if ($truthy(($truthy($a = no_target) ? $a : target['$==']((pair = self.conditional_stack['$[]'](-1))['$[]'](\"target\"))))) {\n            \n            self.conditional_stack.$pop();\n            self.skipping = (function() {if ($truthy(self.conditional_stack['$empty?']())) {\n              return false\n            } else {\n              return self.conditional_stack['$[]'](-1)['$[]'](\"skipping\")\n            }; return nil; })();\n          } else {\n            self.$warn(\"\" + \"asciidoctor: ERROR: \" + (self.$line_info()) + \": mismatched macro: endif::\" + (target) + \"[], expected endif::\" + (pair['$[]'](\"target\")) + \"[]\")\n          };\n          return true;};\n        if ($truthy(self.skipping)) {\n          skip = false\n        } else {\n          $case = keyword;\n          if (\"ifdef\"['$===']($case)) {$case = delimiter;\n          if (\",\"['$===']($case)) {skip = $send(target.$split(\",\", -1), 'none?', [], (TMP_40 = function(name){var self = TMP_40.$$s || this;\n            if (self.document == null) self.document = nil;\nif (name == null) name = nil;\n          return self.document.$attributes()['$key?'](name)}, TMP_40.$$s = self, TMP_40.$$arity = 1, TMP_40))}\n          else if (\"+\"['$===']($case)) {skip = $send(target.$split(\"+\", -1), 'any?', [], (TMP_41 = function(name){var self = TMP_41.$$s || this;\n            if (self.document == null) self.document = nil;\nif (name == null) name = nil;\n          return self.document.$attributes()['$key?'](name)['$!']()}, TMP_41.$$s = self, TMP_41.$$arity = 1, TMP_41))}\n          else {skip = self.document.$attributes()['$key?'](target)['$!']()}}\n          else if (\"ifndef\"['$===']($case)) {$case = delimiter;\n          if (\",\"['$===']($case)) {skip = $send(target.$split(\",\", -1), 'any?', [], (TMP_42 = function(name){var self = TMP_42.$$s || this;\n            if (self.document == null) self.document = nil;\nif (name == null) name = nil;\n          return self.document.$attributes()['$key?'](name)}, TMP_42.$$s = self, TMP_42.$$arity = 1, TMP_42))}\n          else if (\"+\"['$===']($case)) {skip = $send(target.$split(\"+\", -1), 'all?', [], (TMP_43 = function(name){var self = TMP_43.$$s || this;\n            if (self.document == null) self.document = nil;\nif (name == null) name = nil;\n          return self.document.$attributes()['$key?'](name)}, TMP_43.$$s = self, TMP_43.$$arity = 1, TMP_43))}\n          else {skip = self.document.$attributes()['$key?'](target)}}\n          else if (\"ifeval\"['$===']($case)) {\n          if ($truthy(($truthy($a = no_target) ? $$($nesting, 'EvalExpressionRx')['$=~'](text.$strip()) : $a))) {\n          } else {\n            return false\n          };\n          $a = [(($b = $gvars['~']) === nil ? nil : $b['$[]'](1)), (($b = $gvars['~']) === nil ? nil : $b['$[]'](2)), (($b = $gvars['~']) === nil ? nil : $b['$[]'](3))], (lhs = $a[0]), (op = $a[1]), (rhs = $a[2]), $a;\n          lhs = self.$resolve_expr_val(lhs);\n          rhs = self.$resolve_expr_val(rhs);\n          if (op['$=='](\"!=\")) {\n            skip = lhs.$send(\"==\", rhs)\n          } else {\n            skip = lhs.$send(op.$to_sym(), rhs)['$!']()\n          };}\n        };\n        if ($truthy(($truthy($a = keyword['$=='](\"ifeval\")) ? $a : text['$!']()))) {\n          \n          if ($truthy(skip)) {\n            self.skipping = true};\n          self.conditional_stack['$<<']($hash2([\"target\", \"skip\", \"skipping\"], {\"target\": target, \"skip\": skip, \"skipping\": self.skipping}));\n        } else if ($truthy(($truthy($a = self.skipping) ? $a : skip))) {\n        } else {\n          \n          self.$replace_next_line(text.$rstrip());\n          self.$unshift(\"\");\n          if ($truthy(text['$start_with?'](\"include::\"))) {\n            self.look_ahead = $rb_minus(self.look_ahead, 1)};\n        };\n        return true;\n      }, TMP_PreprocessorReader_preprocess_conditional_directive_44.$$arity = 4);\n      \n      Opal.def(self, '$preprocess_include_directive', TMP_PreprocessorReader_preprocess_include_directive_55 = function $$preprocess_include_directive(target, attrlist) {\n        var $a, TMP_45, $b, TMP_46, TMP_48, TMP_49, TMP_51, TMP_54, self = this, expanded_target = nil, ext = nil, abs_maxdepth = nil, parsed_attributes = nil, inc_path = nil, target_type = nil, relpath = nil, inc_linenos = nil, inc_tags = nil, tag = nil, inc_lines = nil, inc_offset = nil, inc_lineno = nil, tag_stack = nil, tags_used = nil, active_tag = nil, select = nil, base_select = nil, wildcard = nil, ext_idx = nil, circ_cmt = nil, cmt_suffix_len = nil, tag_suffix = nil, missing_tags = nil, inc_content = nil;\n\n        if ($truthy(($truthy($a = (expanded_target = target)['$include?']($$($nesting, 'ATTR_REF_HEAD'))) ? (expanded_target = self.document.$sub_attributes(target, $hash2([\"attribute_missing\"], {\"attribute_missing\": \"drop-line\"})))['$empty?']() : $a))) {\n          \n          self.$shift();\n          if (self.document.$attributes().$fetch(\"attribute-missing\", $$($nesting, 'Compliance').$attribute_missing())['$=='](\"skip\")) {\n            self.$unshift(\"\" + \"Unresolved directive in \" + (self.path) + \" - include::\" + (target) + \"[\" + (attrlist) + \"]\")};\n          return true;\n        } else if ($truthy(($truthy($a = self['$include_processors?']()) ? (ext = $send(self.include_processor_extensions, 'find', [], (TMP_45 = function(candidate){var self = TMP_45.$$s || this;\nif (candidate == null) candidate = nil;\n        return candidate.$instance()['$handles?'](expanded_target)}, TMP_45.$$s = self, TMP_45.$$arity = 1, TMP_45))) : $a))) {\n          \n          self.$shift();\n          ext.$process_method()['$[]'](self.document, self, expanded_target, $$($nesting, 'AttributeList').$new(attrlist).$parse());\n          return true;\n        } else if ($truthy($rb_ge(self.document.$safe(), $$$($$($nesting, 'SafeMode'), 'SECURE')))) {\n          return self.$replace_next_line(\"\" + \"link:\" + (expanded_target) + \"[]\")\n        } else if ($truthy($rb_gt((abs_maxdepth = self.maxdepth['$[]'](\"abs\")), 0))) {\n          \n          if ($truthy($rb_ge(self.include_stack.$size(), abs_maxdepth))) {\n            \n            self.$warn(\"\" + \"asciidoctor: ERROR: \" + (self.$line_info()) + \": maximum include depth of \" + (self.maxdepth['$[]'](\"rel\")) + \" exceeded\");\n            return nil;};\n          parsed_attributes = (function() {if ($truthy(attrlist['$empty?']())) {\n            return $hash2([], {})\n          } else {\n            return $$($nesting, 'AttributeList').$new(attrlist).$parse()\n          }; return nil; })();\n          $b = self.$resolve_include_path(expanded_target, attrlist, parsed_attributes), $a = Opal.to_ary($b), (inc_path = ($a[0] == null ? nil : $a[0])), (target_type = ($a[1] == null ? nil : $a[1])), (relpath = ($a[2] == null ? nil : $a[2])), $b;\n          if ($truthy(target_type)) {\n          } else {\n            return inc_path\n          };\n          inc_linenos = (inc_tags = nil);\n          if ($truthy(parsed_attributes['$empty?']())) {\n          } else if ($truthy(parsed_attributes['$key?'](\"lines\"))) {\n            \n            inc_linenos = [];\n            $send(parsed_attributes['$[]'](\"lines\").$split($$($nesting, 'DataDelimiterRx')), 'each', [], (TMP_46 = function(linedef){var self = TMP_46.$$s || this, $c, $d, TMP_47, from = nil, to = nil;\nif (linedef == null) linedef = nil;\n            if ($truthy(linedef['$include?'](\"..\"))) {\n                \n                $d = $send(linedef.$split(\"..\", 2), 'map', [], (TMP_47 = function(it){var self = TMP_47.$$s || this;\nif (it == null) it = nil;\n                return it.$to_i()}, TMP_47.$$s = self, TMP_47.$$arity = 1, TMP_47)), $c = Opal.to_ary($d), (from = ($c[0] == null ? nil : $c[0])), (to = ($c[1] == null ? nil : $c[1])), $d;\n                if (to['$=='](-1)) {\n                  \n                  inc_linenos['$<<'](from);\n                  return inc_linenos['$<<']($rb_divide(1, 0));\n                } else {\n                  return inc_linenos.$concat($$$('::', 'Range').$new(from, to).$to_a())\n                };\n              } else {\n                return inc_linenos['$<<'](linedef.$to_i())\n              }}, TMP_46.$$s = self, TMP_46.$$arity = 1, TMP_46));\n            inc_linenos = (function() {if ($truthy(inc_linenos['$empty?']())) {\n              return nil\n            } else {\n              return inc_linenos.$sort().$uniq()\n            }; return nil; })();\n          } else if ($truthy(parsed_attributes['$key?'](\"tag\"))) {\n            if ($truthy((tag = parsed_attributes['$[]'](\"tag\"))['$empty?']())) {\n            } else if ($truthy(tag['$start_with?'](\"!\"))) {\n              if (tag['$=='](\"!\")) {\n              } else {\n                inc_tags = $hash(tag.$slice(1, tag.$length()), false)\n              }\n            } else {\n              inc_tags = $hash(tag, true)\n            }\n          } else if ($truthy(parsed_attributes['$key?'](\"tags\"))) {\n            \n            inc_tags = $hash2([], {});\n            $send(parsed_attributes['$[]'](\"tags\").$split($$($nesting, 'DataDelimiterRx')), 'each', [], (TMP_48 = function(tagdef){var self = TMP_48.$$s || this, $writer = nil;\nif (tagdef == null) tagdef = nil;\n            if ($truthy(tagdef['$empty?']())) {\n                return nil\n              } else if ($truthy(tagdef['$start_with?'](\"!\"))) {\n                if (tagdef['$=='](\"!\")) {\n                  return nil\n                } else {\n                  \n                  $writer = [tagdef.$slice(1, tagdef.$length()), false];\n                  $send(inc_tags, '[]=', Opal.to_a($writer));\n                  return $writer[$rb_minus($writer[\"length\"], 1)];\n                }\n              } else {\n                \n                $writer = [tagdef, true];\n                $send(inc_tags, '[]=', Opal.to_a($writer));\n                return $writer[$rb_minus($writer[\"length\"], 1)];\n              }}, TMP_48.$$s = self, TMP_48.$$arity = 1, TMP_48));\n            if ($truthy(inc_tags['$empty?']())) {\n              inc_tags = nil};};\n          if ($truthy(inc_linenos)) {\n            \n            $a = [[], nil, 0], (inc_lines = $a[0]), (inc_offset = $a[1]), (inc_lineno = $a[2]), $a;\n            \n            try {\n              (function(){var $brk = Opal.new_brk(); try {return $send(self, 'open', [inc_path, \"r\"], (TMP_49 = function(f){var self = TMP_49.$$s || this, TMP_50;\nif (f == null) f = nil;\n              return (function(){var $brk = Opal.new_brk(); try {return $send(f, 'each_line', [], (TMP_50 = function(l){var self = TMP_50.$$s || this, $c, select = nil;\nif (l == null) l = nil;\n                \n                  inc_lineno = $rb_plus(inc_lineno, 1);\n                  select = inc_linenos['$[]'](0);\n                  if ($truthy(($truthy($c = $$$('::', 'Float')['$==='](select)) ? select['$infinite?']() : $c))) {\n                    \n                    inc_offset = ($truthy($c = inc_offset) ? $c : inc_lineno);\n                    return inc_lines['$<<'](l);\n                  } else {\n                    \n                    if (inc_lineno['$=='](select)) {\n                      \n                      inc_offset = ($truthy($c = inc_offset) ? $c : inc_lineno);\n                      inc_lines['$<<'](l);\n                      inc_linenos.$shift();};\n                    if ($truthy(inc_linenos['$empty?']())) {\n                      \n                      Opal.brk(nil, $brk)\n                    } else {\n                      return nil\n                    };\n                  };}, TMP_50.$$s = self, TMP_50.$$brk = $brk, TMP_50.$$arity = 1, TMP_50))\n                } catch (err) { if (err === $brk) { return err.$v } else { throw err } }})()}, TMP_49.$$s = self, TMP_49.$$brk = $brk, TMP_49.$$arity = 1, TMP_49))\n              } catch (err) { if (err === $brk) { return err.$v } else { throw err } }})()\n            } catch ($err) {\n              if (Opal.rescue($err, [$$($nesting, 'StandardError')])) {\n                try {\n                  \n                  self.$warn(\"\" + \"asciidoctor: WARNING: \" + (self.$line_info()) + \": include \" + (target_type) + \" not readable: \" + (inc_path));\n                  return self.$replace_next_line(\"\" + \"Unresolved directive in \" + (self.path) + \" - include::\" + (expanded_target) + \"[\" + (attrlist) + \"]\");\n                } finally { Opal.pop_exception() }\n              } else { throw $err; }\n            };;\n            self.$shift();\n            if ($truthy(inc_offset)) {\n              self.$push_include(inc_lines, inc_path, relpath, inc_offset, parsed_attributes)};\n          } else if ($truthy(inc_tags)) {\n            \n            $a = [[], nil, 0, [], $$$('::', 'Set').$new(), nil], (inc_lines = $a[0]), (inc_offset = $a[1]), (inc_lineno = $a[2]), (tag_stack = $a[3]), (tags_used = $a[4]), (active_tag = $a[5]), $a;\n            if ($truthy(inc_tags['$key?'](\"**\"))) {\n              if ($truthy(inc_tags['$key?'](\"*\"))) {\n                \n                select = (base_select = inc_tags.$delete(\"**\"));\n                wildcard = inc_tags.$delete(\"*\");\n              } else {\n                select = (base_select = (wildcard = inc_tags.$delete(\"**\")))\n              }\n            } else {\n              \n              select = (base_select = inc_tags['$value?'](true)['$!']());\n              wildcard = inc_tags.$delete(\"*\");\n            };\n            if ($truthy(($truthy($a = (ext_idx = inc_path.$rindex(\".\"))) ? (circ_cmt = $$($nesting, 'CIRCUMFIX_COMMENTS')['$[]'](inc_path.$slice(ext_idx, inc_path.$length()))) : $a))) {\n              cmt_suffix_len = $rb_minus((tag_suffix = \"\" + \"[] \" + (circ_cmt['$[]'](\"suffix\"))).$length(), 2)};\n            \n            try {\n              $send(self, 'open', [inc_path, \"r\"], (TMP_51 = function(f){var self = TMP_51.$$s || this, TMP_52;\nif (f == null) f = nil;\n              return $send(f, 'each_line', [], (TMP_52 = function(l){var self = TMP_52.$$s || this, $c, $d, $e, $f, TMP_53, tl = nil, this_tag = nil, idx = nil;\nif (l == null) l = nil;\n                \n                  inc_lineno = $rb_plus(inc_lineno, 1);\n                  if ($truthy($$($nesting, 'FORCE_ENCODING'))) {\n                    l.$force_encoding($$$($$$('::', 'Encoding'), 'UTF_8'))};\n                  if ($truthy(($truthy($c = ($truthy($d = (tl = l.$chomp())['$end_with?'](\"[]\")) ? $d : ($truthy($e = ($truthy($f = tag_suffix) ? tl['$end_with?'](tag_suffix) : $f)) ? (tl = tl.$slice(0, $rb_minus(tl.$length(), cmt_suffix_len))) : $e))) ? $$($nesting, 'TagDirectiveRx')['$=~'](tl) : $c))) {\n                    if ($truthy((($c = $gvars['~']) === nil ? nil : $c['$[]'](1)))) {\n                      if ((this_tag = (($c = $gvars['~']) === nil ? nil : $c['$[]'](2)))['$=='](active_tag)) {\n                        \n                        tag_stack.$pop();\n                        return $d = (function() {if ($truthy(tag_stack['$empty?']())) {\n                          return [nil, base_select]\n                        } else {\n                          return tag_stack['$[]'](-1)\n                        }; return nil; })(), $c = Opal.to_ary($d), (active_tag = ($c[0] == null ? nil : $c[0])), (select = ($c[1] == null ? nil : $c[1])), $d;\n                      } else if ($truthy(inc_tags['$key?'](this_tag))) {\n                        if ($truthy((idx = $send(tag_stack, 'rindex', [], (TMP_53 = function(key, _){var self = TMP_53.$$s || this;\nif (key == null) key = nil;if (_ == null) _ = nil;\n                        return key['$=='](this_tag)}, TMP_53.$$s = self, TMP_53.$$arity = 2, TMP_53))))) {\n                          \n                          if (idx['$=='](0)) {\n                            tag_stack.$shift()\n                          } else {\n                            \n                            tag_stack.$delete_at(idx);\n                          };\n                          return self.$warn(\"\" + \"asciidoctor: WARNING: \" + (expanded_target) + \": line \" + (inc_lineno) + \": mismatched end tag in include: expected \" + (active_tag) + \", found \" + (this_tag));\n                        } else {\n                          return self.$warn(\"\" + \"asciidoctor: WARNING: \" + (expanded_target) + \": line \" + (inc_lineno) + \": unexpected end tag in include: \" + (this_tag))\n                        }\n                      } else {\n                        return nil\n                      }\n                    } else if ($truthy(inc_tags['$key?']((this_tag = (($c = $gvars['~']) === nil ? nil : $c['$[]'](2)))))) {\n                      \n                      tags_used['$<<'](this_tag);\n                      return tag_stack['$<<']([(active_tag = this_tag), (select = inc_tags['$[]'](this_tag))]);\n                    } else if ($truthy(wildcard['$nil?']()['$!']())) {\n                      \n                      select = (function() {if ($truthy(($truthy($c = active_tag) ? select['$!']() : $c))) {\n                        return false\n                      } else {\n                        return wildcard\n                      }; return nil; })();\n                      return tag_stack['$<<']([(active_tag = this_tag), select]);\n                    } else {\n                      return nil\n                    }\n                  } else if ($truthy(select)) {\n                    \n                    inc_offset = ($truthy($c = inc_offset) ? $c : inc_lineno);\n                    return inc_lines['$<<'](l);\n                  } else {\n                    return nil\n                  };}, TMP_52.$$s = self, TMP_52.$$arity = 1, TMP_52))}, TMP_51.$$s = self, TMP_51.$$arity = 1, TMP_51))\n            } catch ($err) {\n              if (Opal.rescue($err, [$$($nesting, 'StandardError')])) {\n                try {\n                  \n                  self.$warn(\"\" + \"asciidoctor: WARNING: \" + (self.$line_info()) + \": include \" + (target_type) + \" not readable: \" + (inc_path));\n                  return self.$replace_next_line(\"\" + \"Unresolved directive in \" + (self.path) + \" - include::\" + (expanded_target) + \"[\" + (attrlist) + \"]\");\n                } finally { Opal.pop_exception() }\n              } else { throw $err; }\n            };;\n            if ($truthy((missing_tags = $rb_minus(inc_tags.$keys().$to_a(), tags_used.$to_a()))['$empty?']())) {\n            } else {\n              self.$warn(\"\" + \"asciidoctor: WARNING: \" + (self.$line_info()) + \": tag\" + ((function() {if ($truthy($rb_gt(missing_tags.$size(), 1))) {\n                return \"s\"\n              } else {\n                return nil\n              }; return nil; })()) + \" '\" + ($rb_times(missing_tags, \",\")) + \"' not found in include \" + (target_type) + \": \" + (inc_path))\n            };\n            self.$shift();\n            if ($truthy(inc_offset)) {\n              self.$push_include(inc_lines, inc_path, relpath, inc_offset, parsed_attributes)};\n          } else {\n            \n            try {\n              \n              inc_content = (function() {if (target_type['$=='](\"file\")) {\n                \n                return $$$('::', 'IO').$read(inc_path);\n              } else {\n                return $send(self, 'open', [inc_path, \"r\"], (TMP_54 = function(f){var self = TMP_54.$$s || this;\nif (f == null) f = nil;\n                return f.$read()}, TMP_54.$$s = self, TMP_54.$$arity = 1, TMP_54))\n              }; return nil; })();\n              self.$shift();\n              self.$push_include(inc_content, inc_path, relpath, 1, parsed_attributes);\n            } catch ($err) {\n              if (Opal.rescue($err, [$$($nesting, 'StandardError')])) {\n                try {\n                  \n                  self.$warn(\"\" + \"asciidoctor: WARNING: \" + (self.$line_info()) + \": include \" + (target_type) + \" not readable: \" + (inc_path));\n                  return self.$replace_next_line(\"\" + \"Unresolved directive in \" + (self.path) + \" - include::\" + (expanded_target) + \"[\" + (attrlist) + \"]\");\n                } finally { Opal.pop_exception() }\n              } else { throw $err; }\n            };\n          };\n          return true;\n        } else {\n          return false\n        }\n      }, TMP_PreprocessorReader_preprocess_include_directive_55.$$arity = 2);\n      \n      Opal.def(self, '$resolve_include_path', TMP_PreprocessorReader_resolve_include_path_56 = function $$resolve_include_path(target, attrlist, attributes) {\n        var $a, $b, $c, self = this, inc_path = nil, relpath = nil;\n\n        if ($truthy($$($nesting, 'Helpers')['$uriish?'](target))) {\n          \n          if ($truthy(self.document.$attributes()['$key?'](\"allow-uri-read\"))) {\n          } else {\n            return self.$replace_next_line(\"\" + \"link:\" + (target) + \"[\" + (attrlist) + \"]\")\n          };\n          if ($truthy(self.document.$attributes()['$key?'](\"cache-uri\"))) {\n            if ($truthy((($b = $$$('::', 'OpenURI', 'skip_raise')) && ($a = $$$($b, 'Cache', 'skip_raise')) ? 'constant' : nil))) {\n            } else {\n              $$($nesting, 'Helpers').$require_library(\"open-uri/cached\", \"open-uri-cached\")\n            }\n          } else if ($truthy($$$('::', 'RUBY_ENGINE_OPAL')['$!']())) {\n            $$$('::', 'OpenURI')};\n          return [target, \"uri\", target];\n        } else {\n          \n          inc_path = self.document.$normalize_system_path(target, self.dir, nil, $hash2([\"target_name\"], {\"target_name\": \"include file\"}));\n          if ($truthy($$$('::', 'File')['$file?'](inc_path))) {\n          } else {\n            \n            self.$warn(\"\" + \"asciidoctor: WARNING: \" + (self.$line_info()) + \": include file not found: \" + (inc_path));\n            return self.$replace_next_line(\"\" + \"Unresolved directive in \" + (self.path) + \" - include::\" + (target) + \"[\" + (attrlist) + \"]\");\n          };\n          relpath = (self.path_resolver = ($truthy($c = self.path_resolver) ? $c : $$($nesting, 'PathResolver').$new())).$relative_path(inc_path, self.document.$base_dir());\n          return [inc_path, \"file\", relpath];\n        }\n      }, TMP_PreprocessorReader_resolve_include_path_56.$$arity = 3);\n      \n      Opal.def(self, '$push_include', TMP_PreprocessorReader_push_include_57 = function $$push_include(data, file, path, lineno, attributes) {\n        var self = this, depth = nil, old_leveloffset = nil;\n\n        if (file == null) {\n          file = nil;\n        }\n        if (path == null) {\n          path = nil;\n        }\n        if (lineno == null) {\n          lineno = 1;\n        }\n        if (attributes == null) {\n          attributes = $hash2([], {});\n        }\n        \n        self.include_stack['$<<']([self.lines, self.file, self.dir, self.path, self.lineno, self.maxdepth, self.process_lines]);\n        if ($truthy(file)) {\n          \n          self.file = file;\n          self.dir = $$($nesting, 'File').$dirname(file);\n          self.process_lines = $$($nesting, 'ASCIIDOC_EXTENSIONS')['$[]']($$$('::', 'File').$extname(file));\n        } else {\n          \n          self.file = nil;\n          self.dir = \".\";\n          self.process_lines = true;\n        };\n        if ($truthy(path)) {\n          self.includes['$<<']($$($nesting, 'Helpers').$rootname((self.path = path)))\n        } else {\n          self.path = \"<stdin>\"\n        };\n        self.lineno = lineno;\n        if ($truthy(attributes['$key?'](\"depth\"))) {\n          \n          depth = attributes['$[]'](\"depth\").$to_i();\n          if ($truthy($rb_le(depth, 0))) {\n            depth = 1};\n          self.maxdepth = $hash2([\"abs\", \"rel\"], {\"abs\": $rb_plus($rb_minus(self.include_stack.$size(), 1), depth), \"rel\": depth});};\n        if ($truthy((self.lines = self.$prepare_lines(data, $hash2([\"normalize\", \"condense\", \"indent\"], {\"normalize\": true, \"condense\": false, \"indent\": attributes['$[]'](\"indent\")})))['$empty?']())) {\n          self.$pop_include()\n        } else {\n          \n          if ($truthy(attributes['$key?'](\"leveloffset\"))) {\n            \n            self.lines.$unshift(\"\");\n            self.lines.$unshift(\"\" + \":leveloffset: \" + (attributes['$[]'](\"leveloffset\")));\n            self.lines['$<<'](\"\");\n            if ($truthy((old_leveloffset = self.document.$attr(\"leveloffset\")))) {\n              self.lines['$<<'](\"\" + \":leveloffset: \" + (old_leveloffset))\n            } else {\n              self.lines['$<<'](\":leveloffset!:\")\n            };\n            self.lineno = $rb_minus(self.lineno, 2);};\n          self.look_ahead = 0;\n        };\n        return self;\n      }, TMP_PreprocessorReader_push_include_57.$$arity = -2);\n      \n      Opal.def(self, '$pop_include', TMP_PreprocessorReader_pop_include_58 = function $$pop_include() {\n        var $a, $b, self = this;\n\n        if ($truthy($rb_gt(self.include_stack.$size(), 0))) {\n          \n          $b = self.include_stack.$pop(), $a = Opal.to_ary($b), (self.lines = ($a[0] == null ? nil : $a[0])), (self.file = ($a[1] == null ? nil : $a[1])), (self.dir = ($a[2] == null ? nil : $a[2])), (self.path = ($a[3] == null ? nil : $a[3])), (self.lineno = ($a[4] == null ? nil : $a[4])), (self.maxdepth = ($a[5] == null ? nil : $a[5])), (self.process_lines = ($a[6] == null ? nil : $a[6])), $b;\n          self.look_ahead = 0;\n          return nil;\n        } else {\n          return nil\n        }\n      }, TMP_PreprocessorReader_pop_include_58.$$arity = 0);\n      \n      Opal.def(self, '$include_depth', TMP_PreprocessorReader_include_depth_59 = function $$include_depth() {\n        var self = this;\n\n        return self.include_stack.$size()\n      }, TMP_PreprocessorReader_include_depth_59.$$arity = 0);\n      \n      Opal.def(self, '$exceeded_max_depth?', TMP_PreprocessorReader_exceeded_max_depth$q_60 = function() {\n        var $a, self = this, abs_maxdepth = nil;\n\n        if ($truthy(($truthy($a = $rb_gt((abs_maxdepth = self.maxdepth['$[]'](\"abs\")), 0)) ? $rb_ge(self.include_stack.$size(), abs_maxdepth) : $a))) {\n          return self.maxdepth['$[]'](\"rel\")\n        } else {\n          return false\n        }\n      }, TMP_PreprocessorReader_exceeded_max_depth$q_60.$$arity = 0);\n      \n      Opal.def(self, '$shift', TMP_PreprocessorReader_shift_61 = function $$shift() {\n        var self = this, $iter = TMP_PreprocessorReader_shift_61.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n        if ($iter) TMP_PreprocessorReader_shift_61.$$p = null;\n        // Prepare super implicit arguments\n        for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n          $zuper[$zuper_i] = arguments[$zuper_i];\n        }\n        if ($truthy(self.unescape_next_line)) {\n          \n          self.unescape_next_line = false;\n          return $send(self, Opal.find_super_dispatcher(self, 'shift', TMP_PreprocessorReader_shift_61, false), $zuper, $iter)['$[]']($range(1, -1, false));\n        } else {\n          return $send(self, Opal.find_super_dispatcher(self, 'shift', TMP_PreprocessorReader_shift_61, false), $zuper, $iter)\n        }\n      }, TMP_PreprocessorReader_shift_61.$$arity = 0);\n      \n      Opal.def(self, '$skip_front_matter!', TMP_PreprocessorReader_skip_front_matter$B_62 = function(data, increment_linenos) {\n        var $a, $b, self = this, front_matter = nil, original_data = nil;\n\n        if (increment_linenos == null) {\n          increment_linenos = true;\n        }\n        \n        front_matter = nil;\n        if (data['$[]'](0)['$=='](\"---\")) {\n          \n          original_data = data.$dup();\n          front_matter = [];\n          data.$shift();\n          if ($truthy(increment_linenos)) {\n            self.lineno = $rb_plus(self.lineno, 1)};\n          while ($truthy(($truthy($b = data['$empty?']()['$!']()) ? data['$[]'](0)['$!='](\"---\") : $b))) {\n            \n            front_matter['$<<'](data.$shift());\n            if ($truthy(increment_linenos)) {\n              self.lineno = $rb_plus(self.lineno, 1)};\n          };\n          if ($truthy(data['$empty?']())) {\n            \n            $send(data, 'unshift', Opal.to_a(original_data));\n            if ($truthy(increment_linenos)) {\n              self.lineno = 0};\n            front_matter = nil;\n          } else {\n            \n            data.$shift();\n            if ($truthy(increment_linenos)) {\n              self.lineno = $rb_plus(self.lineno, 1)};\n          };};\n        return front_matter;\n      }, TMP_PreprocessorReader_skip_front_matter$B_62.$$arity = -2);\n      \n      Opal.def(self, '$resolve_expr_val', TMP_PreprocessorReader_resolve_expr_val_63 = function $$resolve_expr_val(val) {\n        var $a, $b, self = this, quoted = nil;\n\n        \n        if ($truthy(($truthy($a = ($truthy($b = val['$start_with?'](\"\\\"\")) ? val['$end_with?'](\"\\\"\") : $b)) ? $a : ($truthy($b = val['$start_with?'](\"'\")) ? val['$end_with?'](\"'\") : $b)))) {\n          \n          quoted = true;\n          val = val['$[]']($range(1, -1, true));\n        } else {\n          quoted = false\n        };\n        if ($truthy(val['$include?']($$($nesting, 'ATTR_REF_HEAD')))) {\n          val = self.document.$sub_attributes(val, $hash2([\"attribute_missing\"], {\"attribute_missing\": \"drop\"}))};\n        if ($truthy(quoted)) {\n          return val\n        } else if ($truthy(val['$empty?']())) {\n          return nil\n        } else if (val['$=='](\"true\")) {\n          return true\n        } else if (val['$=='](\"false\")) {\n          return false\n        } else if ($truthy(val.$rstrip()['$empty?']())) {\n          return \" \"\n        } else if ($truthy(val['$include?'](\".\"))) {\n          return val.$to_f()\n        } else {\n          return val.$to_i()\n        };\n      }, TMP_PreprocessorReader_resolve_expr_val_63.$$arity = 1);\n      \n      Opal.def(self, '$include_processors?', TMP_PreprocessorReader_include_processors$q_64 = function() {\n        var $a, self = this;\n\n        if ($truthy(self.include_processor_extensions['$nil?']())) {\n          if ($truthy(($truthy($a = self.document['$extensions?']()) ? self.document.$extensions()['$include_processors?']() : $a))) {\n            return (self.include_processor_extensions = self.document.$extensions().$include_processors())['$!']()['$!']()\n          } else {\n            return (self.include_processor_extensions = false)\n          }\n        } else {\n          return self.include_processor_extensions['$!='](false)\n        }\n      }, TMP_PreprocessorReader_include_processors$q_64.$$arity = 0);\n      return (Opal.def(self, '$to_s', TMP_PreprocessorReader_to_s_66 = function $$to_s() {\n        var TMP_65, self = this;\n\n        return \"\" + \"#<\" + (self.$class()) + \"@\" + (self.$object_id()) + \" {path: \" + (self.path.$inspect()) + \", line #: \" + (self.lineno) + \", include depth: \" + (self.include_stack.$size()) + \", include stack: [\" + ($rb_times($send(self.include_stack, 'map', [], (TMP_65 = function(inc){var self = TMP_65.$$s || this;\nif (inc == null) inc = nil;\n        return inc.$to_s()}, TMP_65.$$s = self, TMP_65.$$arity = 1, TMP_65)), \", \")) + \"]}>\"\n      }, TMP_PreprocessorReader_to_s_66.$$arity = 0), nil) && 'to_s';\n    })($nesting[0], $$($nesting, 'Reader'), $nesting);\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/section\"] = function(Opal) {\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $send = Opal.send, $truthy = Opal.truthy, $hash2 = Opal.hash2;\n\n  Opal.add_stubs(['$attr_accessor', '$attr_reader', '$+', '$level', '$>', '$==', '$context', '$special', '$generate_id', '$title', '$sectnum', '$reftext', '$!', '$empty?', '$===', '$sprintf', '$sub_quotes', '$compat_mode', '$[]', '$attributes', '$enumerate_section', '$class', '$object_id', '$inspect', '$size', '$gsub', '$downcase', '$tr_s', '$end_with?', '$chop', '$start_with?', '$slice', '$length', '$key?', '$catalog', '$unique_id_start_index']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $Section(){};\n      var self = $Section = $klass($base, $super, 'Section', $Section);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Section_initialize_1, TMP_Section_generate_id_2, TMP_Section_sectnum_3, TMP_Section_xreftext_4, TMP_Section_$lt$lt_5, TMP_Section_to_s_6, TMP_Section_generate_id_7;\n\n      def.level = def.document = def.parent = def.number = def.numbered = def.sectname = def.title = def.blocks = nil;\n      \n      self.$attr_accessor(\"index\");\n      self.$attr_accessor(\"sectname\");\n      self.$attr_accessor(\"special\");\n      self.$attr_accessor(\"numbered\");\n      self.$attr_reader(\"caption\");\n      \n      Opal.def(self, '$initialize', TMP_Section_initialize_1 = function $$initialize(parent, level, numbered, opts) {\n        var $a, $b, self = this, $iter = TMP_Section_initialize_1.$$p, $yield = $iter || nil;\n\n        if (parent == null) {\n          parent = nil;\n        }\n        if (level == null) {\n          level = nil;\n        }\n        if (numbered == null) {\n          numbered = true;\n        }\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        if ($iter) TMP_Section_initialize_1.$$p = null;\n        \n        $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_Section_initialize_1, false), [parent, \"section\", opts], null);\n        self.level = (function() {if ($truthy(level)) {\n          return level\n        } else {\n          \n          if ($truthy(parent)) {\n            \n            return $rb_plus(parent.$level(), 1);\n          } else {\n            return 1\n          };\n        }; return nil; })();\n        self.numbered = ($truthy($a = numbered) ? $rb_gt(self.level, 0) : $a);\n        self.special = ($truthy($a = ($truthy($b = parent) ? parent.$context()['$=='](\"section\") : $b)) ? parent.$special() : $a);\n        self.index = 0;\n        return (self.number = 1);\n      }, TMP_Section_initialize_1.$$arity = -1);\n      Opal.alias(self, \"name\", \"title\");\n      \n      Opal.def(self, '$generate_id', TMP_Section_generate_id_2 = function $$generate_id() {\n        var self = this;\n\n        return $$($nesting, 'Section').$generate_id(self.$title(), self.document)\n      }, TMP_Section_generate_id_2.$$arity = 0);\n      \n      Opal.def(self, '$sectnum', TMP_Section_sectnum_3 = function $$sectnum(delimiter, append) {\n        var $a, $b, $c, self = this;\n\n        if (delimiter == null) {\n          delimiter = \".\";\n        }\n        if (append == null) {\n          append = nil;\n        }\n        \n        append = ($truthy($a = append) ? $a : (function() {if (append['$=='](false)) {\n          return \"\"\n        } else {\n          return delimiter\n        }; return nil; })());\n        if ($truthy(($truthy($a = ($truthy($b = ($truthy($c = self.level) ? $rb_gt(self.level, 1) : $c)) ? self.parent : $b)) ? self.parent.$context()['$=='](\"section\") : $a))) {\n          return \"\" + (self.parent.$sectnum(delimiter)) + (self.number) + (append)\n        } else {\n          return \"\" + (self.number) + (append)\n        };\n      }, TMP_Section_sectnum_3.$$arity = -1);\n      \n      Opal.def(self, '$xreftext', TMP_Section_xreftext_4 = function $$xreftext(xrefstyle) {\n        var $a, self = this, val = nil, $case = nil, type = nil, quoted_title = nil, signifier = nil;\n\n        if (xrefstyle == null) {\n          xrefstyle = nil;\n        }\n        if ($truthy(($truthy($a = (val = self.$reftext())) ? val['$empty?']()['$!']() : $a))) {\n          return val\n        } else if ($truthy(xrefstyle)) {\n          if ($truthy(self.numbered)) {\n            return (function() {$case = xrefstyle;\n            if (\"full\"['$===']($case)) {\n            if ($truthy(($truthy($a = (type = self.sectname)['$=='](\"chapter\")) ? $a : type['$=='](\"appendix\")))) {\n              quoted_title = self.$sprintf(self.$sub_quotes(\"_%s_\"), self.$title())\n            } else {\n              quoted_title = self.$sprintf(self.$sub_quotes((function() {if ($truthy(self.document.$compat_mode())) {\n                return \"``%s''\"\n              } else {\n                return \"\\\"`%s`\\\"\"\n              }; return nil; })()), self.$title())\n            };\n            if ($truthy((signifier = self.document.$attributes()['$[]'](\"\" + (type) + \"-refsig\")))) {\n              return \"\" + (signifier) + \" \" + (self.$sectnum(\".\", \",\")) + \" \" + (quoted_title)\n            } else {\n              return \"\" + (self.$sectnum(\".\", \",\")) + \" \" + (quoted_title)\n            };}\n            else if (\"short\"['$===']($case)) {if ($truthy((signifier = self.document.$attributes()['$[]'](\"\" + (self.sectname) + \"-refsig\")))) {\n              return \"\" + (signifier) + \" \" + (self.$sectnum(\".\", \"\"))\n            } else {\n              return self.$sectnum(\".\", \"\")\n            }}\n            else {if ($truthy(($truthy($a = (type = self.sectname)['$=='](\"chapter\")) ? $a : type['$=='](\"appendix\")))) {\n              \n              return self.$sprintf(self.$sub_quotes(\"_%s_\"), self.$title());\n            } else {\n              return self.$title()\n            }}})()\n          } else if ($truthy(($truthy($a = (type = self.sectname)['$=='](\"chapter\")) ? $a : type['$=='](\"appendix\")))) {\n            \n            return self.$sprintf(self.$sub_quotes(\"_%s_\"), self.$title());\n          } else {\n            return self.$title()\n          }\n        } else {\n          return self.$title()\n        }\n      }, TMP_Section_xreftext_4.$$arity = -1);\n      \n      Opal.def(self, '$<<', TMP_Section_$lt$lt_5 = function(block) {\n        var self = this, $iter = TMP_Section_$lt$lt_5.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n        if ($iter) TMP_Section_$lt$lt_5.$$p = null;\n        // Prepare super implicit arguments\n        for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n          $zuper[$zuper_i] = arguments[$zuper_i];\n        }\n        \n        if (block.$context()['$=='](\"section\")) {\n          self.$enumerate_section(block)};\n        return $send(self, Opal.find_super_dispatcher(self, '<<', TMP_Section_$lt$lt_5, false), $zuper, $iter);\n      }, TMP_Section_$lt$lt_5.$$arity = 1);\n      \n      Opal.def(self, '$to_s', TMP_Section_to_s_6 = function $$to_s() {\n        var self = this, $iter = TMP_Section_to_s_6.$$p, $yield = $iter || nil, formal_title = nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n        if ($iter) TMP_Section_to_s_6.$$p = null;\n        // Prepare super implicit arguments\n        for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n          $zuper[$zuper_i] = arguments[$zuper_i];\n        }\n        if ($truthy(self.title)) {\n          \n          formal_title = (function() {if ($truthy(self.numbered)) {\n            return \"\" + (self.$sectnum()) + \" \" + (self.title)\n          } else {\n            return self.title\n          }; return nil; })();\n          return \"\" + \"#<\" + (self.$class()) + \"@\" + (self.$object_id()) + \" {level: \" + (self.level) + \", title: \" + (formal_title.$inspect()) + \", blocks: \" + (self.blocks.$size()) + \"}>\";\n        } else {\n          return $send(self, Opal.find_super_dispatcher(self, 'to_s', TMP_Section_to_s_6, false), $zuper, $iter)\n        }\n      }, TMP_Section_to_s_6.$$arity = 0);\n      return (Opal.defs(self, '$generate_id', TMP_Section_generate_id_7 = function $$generate_id(title, document) {\n        var $a, self = this, attrs = nil, sep = nil, pre = nil, gen_id = nil, ids = nil, cnt = nil, candidate_id = nil;\n\n        \n        attrs = document.$attributes();\n        sep = ($truthy($a = attrs['$[]'](\"idseparator\")) ? $a : \"_\");\n        pre = ($truthy($a = attrs['$[]'](\"idprefix\")) ? $a : \"_\");\n        gen_id = \"\" + (pre) + (title.$downcase().$gsub($$($nesting, 'InvalidSectionIdCharsRx'), sep));\n        if ($truthy(sep['$empty?']())) {\n        } else {\n          \n          gen_id = gen_id.$tr_s(sep, sep);\n          if ($truthy(gen_id['$end_with?'](sep))) {\n            gen_id = gen_id.$chop()};\n          if ($truthy(pre['$empty?']())) {\n            while ($truthy(gen_id['$start_with?'](sep))) {\n              gen_id = gen_id.$slice(1, gen_id.$length())\n            }};\n        };\n        if ($truthy(document.$catalog()['$[]'](\"ids\")['$key?'](gen_id))) {\n          \n          $a = [document.$catalog()['$[]'](\"ids\"), $$($nesting, 'Compliance').$unique_id_start_index()], (ids = $a[0]), (cnt = $a[1]), $a;\n          while ($truthy(ids['$key?']((candidate_id = \"\" + (gen_id) + (sep) + (cnt))))) {\n            cnt = $rb_plus(cnt, 1)\n          };\n          return candidate_id;\n        } else {\n          return gen_id\n        };\n      }, TMP_Section_generate_id_7.$$arity = 2), nil) && 'generate_id';\n    })($nesting[0], $$($nesting, 'AbstractBlock'), $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/stylesheets\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $truthy = Opal.truthy, $hash2 = Opal.hash2, $send = Opal.send;\n\n  Opal.add_stubs(['$join', '$new', '$chomp', '$read', '$primary_stylesheet_data', '$write', '$primary_stylesheet_name', '$coderay_stylesheet_data', '$coderay_stylesheet_name', '$load_pygments', '$[]', '$sub', '$css', '$[]=', '$-', '$pygments_stylesheet_data', '$pygments_stylesheet_name', '$!', '$nil?', '$require_library']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $Stylesheets(){};\n      var self = $Stylesheets = $klass($base, $super, 'Stylesheets', $Stylesheets);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Stylesheets_instance_1, TMP_Stylesheets_primary_stylesheet_name_2, TMP_Stylesheets_primary_stylesheet_data_3, TMP_Stylesheets_embed_primary_stylesheet_4, TMP_Stylesheets_write_primary_stylesheet_5, TMP_Stylesheets_coderay_stylesheet_name_6, TMP_Stylesheets_coderay_stylesheet_data_7, TMP_Stylesheets_embed_coderay_stylesheet_8, TMP_Stylesheets_write_coderay_stylesheet_9, TMP_Stylesheets_pygments_stylesheet_name_10, TMP_Stylesheets_pygments_stylesheet_data_11, TMP_Stylesheets_embed_pygments_stylesheet_12, TMP_Stylesheets_write_pygments_stylesheet_13, TMP_Stylesheets_load_pygments_14;\n\n      def.primary_stylesheet_data = def.coderay_stylesheet_data = def.pygments_stylesheet_data = nil;\n      \n      Opal.const_set($nesting[0], 'DEFAULT_STYLESHEET_NAME', \"asciidoctor.css\");\n      Opal.const_set($nesting[0], 'DEFAULT_PYGMENTS_STYLE', \"default\");\n      Opal.const_set($nesting[0], 'STYLESHEETS_DATA_PATH', $$$('::', 'File').$join($$($nesting, 'DATA_PATH'), \"stylesheets\"));\n      self.__instance__ = self.$new();\n      Opal.defs(self, '$instance', TMP_Stylesheets_instance_1 = function $$instance() {\n        var self = this;\n        if (self.__instance__ == null) self.__instance__ = nil;\n\n        return self.__instance__\n      }, TMP_Stylesheets_instance_1.$$arity = 0);\n      \n      Opal.def(self, '$primary_stylesheet_name', TMP_Stylesheets_primary_stylesheet_name_2 = function $$primary_stylesheet_name() {\n        var self = this;\n\n        return $$($nesting, 'DEFAULT_STYLESHEET_NAME')\n      }, TMP_Stylesheets_primary_stylesheet_name_2.$$arity = 0);\n      \n      Opal.def(self, '$primary_stylesheet_data', TMP_Stylesheets_primary_stylesheet_data_3 = function $$primary_stylesheet_data() {\n\nvar File = Opal.const_get_relative([], \"File\");\nvar stylesheetsPath;\nif (Opal.const_get_relative([], \"JAVASCRIPT_PLATFORM\")[\"$==\"](\"node\")) {\n  if (File.$basename(__dirname) === \"node\" && File.$basename(File.$dirname(__dirname)) === \"dist\") {\n    stylesheetsPath = File.$join(File.$dirname(__dirname), \"css\");\n  } else {\n    stylesheetsPath = File.$join(__dirname, \"css\");\n  }\n} else if (Opal.const_get_relative([], \"JAVASCRIPT_ENGINE\")[\"$==\"](\"nashorn\")) {\n  if (File.$basename(__DIR__) === \"nashorn\" && File.$basename(File.$dirname(__DIR__)) === \"dist\") {\n    stylesheetsPath = File.$join(File.$dirname(__DIR__), \"css\");\n  } else {\n    stylesheetsPath = File.$join(__DIR__, \"css\");\n  }\n} else {\n  stylesheetsPath = \"css\";\n}\nreturn ((($a = self.primary_stylesheet_data) !== false && $a !== nil && $a != null) ? $a : self.primary_stylesheet_data = Opal.const_get_relative([], \"IO\").$read(File.$join(stylesheetsPath, \"asciidoctor.css\")).$chomp());\n  \n      }, TMP_Stylesheets_primary_stylesheet_data_3.$$arity = 0);\n      \n      Opal.def(self, '$embed_primary_stylesheet', TMP_Stylesheets_embed_primary_stylesheet_4 = function $$embed_primary_stylesheet() {\n        var self = this;\n\n        return \"\" + \"<style>\\n\" + (self.$primary_stylesheet_data()) + \"\\n\" + \"</style>\"\n      }, TMP_Stylesheets_embed_primary_stylesheet_4.$$arity = 0);\n      \n      Opal.def(self, '$write_primary_stylesheet', TMP_Stylesheets_write_primary_stylesheet_5 = function $$write_primary_stylesheet(target_dir) {\n        var self = this;\n\n        if (target_dir == null) {\n          target_dir = \".\";\n        }\n        return $$$('::', 'IO').$write($$$('::', 'File').$join(target_dir, self.$primary_stylesheet_name()), self.$primary_stylesheet_data())\n      }, TMP_Stylesheets_write_primary_stylesheet_5.$$arity = -1);\n      \n      Opal.def(self, '$coderay_stylesheet_name', TMP_Stylesheets_coderay_stylesheet_name_6 = function $$coderay_stylesheet_name() {\n        var self = this;\n\n        return \"coderay-asciidoctor.css\"\n      }, TMP_Stylesheets_coderay_stylesheet_name_6.$$arity = 0);\n      \n      Opal.def(self, '$coderay_stylesheet_data', TMP_Stylesheets_coderay_stylesheet_data_7 = function $$coderay_stylesheet_data() {\n        var $a, self = this;\n\n        return (self.coderay_stylesheet_data = ($truthy($a = self.coderay_stylesheet_data) ? $a : $$$('::', 'IO').$read($$$('::', 'File').$join($$($nesting, 'STYLESHEETS_DATA_PATH'), \"coderay-asciidoctor.css\")).$chomp()))\n      }, TMP_Stylesheets_coderay_stylesheet_data_7.$$arity = 0);\n      \n      Opal.def(self, '$embed_coderay_stylesheet', TMP_Stylesheets_embed_coderay_stylesheet_8 = function $$embed_coderay_stylesheet() {\n        var self = this;\n\n        return \"\" + \"<style>\\n\" + (self.$coderay_stylesheet_data()) + \"\\n\" + \"</style>\"\n      }, TMP_Stylesheets_embed_coderay_stylesheet_8.$$arity = 0);\n      \n      Opal.def(self, '$write_coderay_stylesheet', TMP_Stylesheets_write_coderay_stylesheet_9 = function $$write_coderay_stylesheet(target_dir) {\n        var self = this;\n\n        if (target_dir == null) {\n          target_dir = \".\";\n        }\n        return $$$('::', 'IO').$write($$$('::', 'File').$join(target_dir, self.$coderay_stylesheet_name()), self.$coderay_stylesheet_data())\n      }, TMP_Stylesheets_write_coderay_stylesheet_9.$$arity = -1);\n      \n      Opal.def(self, '$pygments_stylesheet_name', TMP_Stylesheets_pygments_stylesheet_name_10 = function $$pygments_stylesheet_name(style) {\n        var $a, self = this;\n\n        if (style == null) {\n          style = nil;\n        }\n        return \"\" + \"pygments-\" + (($truthy($a = style) ? $a : $$($nesting, 'DEFAULT_PYGMENTS_STYLE'))) + \".css\"\n      }, TMP_Stylesheets_pygments_stylesheet_name_10.$$arity = -1);\n      \n      Opal.def(self, '$pygments_stylesheet_data', TMP_Stylesheets_pygments_stylesheet_data_11 = function $$pygments_stylesheet_data(style) {\n        var $a, $b, self = this, $writer = nil;\n\n        if (style == null) {\n          style = nil;\n        }\n        if ($truthy(self.$load_pygments())) {\n          return ($truthy($a = (self.pygments_stylesheet_data = ($truthy($b = self.pygments_stylesheet_data) ? $b : $hash2([], {})))['$[]'](($truthy($b = style) ? $b : $$($nesting, 'DEFAULT_PYGMENTS_STYLE')))) ? $a : (($writer = [($truthy($b = style) ? $b : $$($nesting, 'DEFAULT_PYGMENTS_STYLE')), $$$('::', 'Pygments').$css(\".listingblock .pygments\", $hash2([\"classprefix\", \"style\"], {\"classprefix\": \"tok-\", \"style\": ($truthy($b = style) ? $b : $$($nesting, 'DEFAULT_PYGMENTS_STYLE'))})).$sub(\".listingblock .pygments  {\", \".listingblock .pygments, .listingblock .pygments code {\")]), $send((self.pygments_stylesheet_data = ($truthy($b = self.pygments_stylesheet_data) ? $b : $hash2([], {}))), '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))\n        } else {\n          return \"/* Pygments styles disabled. Pygments is not available. */\"\n        }\n      }, TMP_Stylesheets_pygments_stylesheet_data_11.$$arity = -1);\n      \n      Opal.def(self, '$embed_pygments_stylesheet', TMP_Stylesheets_embed_pygments_stylesheet_12 = function $$embed_pygments_stylesheet(style) {\n        var self = this;\n\n        if (style == null) {\n          style = nil;\n        }\n        return \"\" + \"<style>\\n\" + (self.$pygments_stylesheet_data(style)) + \"\\n\" + \"</style>\"\n      }, TMP_Stylesheets_embed_pygments_stylesheet_12.$$arity = -1);\n      \n      Opal.def(self, '$write_pygments_stylesheet', TMP_Stylesheets_write_pygments_stylesheet_13 = function $$write_pygments_stylesheet(target_dir, style) {\n        var self = this;\n\n        if (target_dir == null) {\n          target_dir = \".\";\n        }\n        if (style == null) {\n          style = nil;\n        }\n        return $$$('::', 'IO').$write($$$('::', 'File').$join(target_dir, self.$pygments_stylesheet_name(style)), self.$pygments_stylesheet_data(style))\n      }, TMP_Stylesheets_write_pygments_stylesheet_13.$$arity = -1);\n      return (Opal.def(self, '$load_pygments', TMP_Stylesheets_load_pygments_14 = function $$load_pygments() {\n        var $a, self = this;\n\n        if ($truthy((($a = $$$('::', 'Pygments', 'skip_raise')) ? 'constant' : nil))) {\n          return true\n        } else {\n          return $$($nesting, 'Helpers').$require_library(\"pygments\", \"pygments.rb\", \"ignore\")['$nil?']()['$!']()\n        }\n      }, TMP_Stylesheets_load_pygments_14.$$arity = 0), nil) && 'load_pygments';\n    })($nesting[0], null, $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/table\"] = function(Opal) {\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_divide(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs / rhs : lhs['$/'](rhs);\n  }\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $send = Opal.send, $truthy = Opal.truthy, $hash2 = Opal.hash2, $range = Opal.range;\n\n  Opal.add_stubs(['$attr_accessor', '$attr_reader', '$new', '$key?', '$[]', '$>', '$to_i', '$<', '$==', '$[]=', '$-', '$attributes', '$round', '$*', '$/', '$to_f', '$empty?', '$body', '$each', '$+', '$<<', '$size', '$assign_column_widths', '$**', '$assign_width', '$shift', '$style=', '$head=', '$pop', '$foot=', '$update_attributes', '$parent', '$header_row?', '$table', '$delete', '$!', '$rstrip', '$start_with?', '$slice', '$length', '$strip', '$split', '$include?', '$readlines', '$unshift', '$nil?', '$apply_subs', '$convert', '$map', '$text', '$to_s', '$to_set', '$cursor', '$nested?', '$document', '$warn', '$prev_line_info', '$nil_or_empty?', '$escape', '$columns', '$match', '$pre_match', '$post_match', '$chop', '$buffer', '$end_with?', '$gsub', '$push_cellspec', '$cell_open?', '$close_cell', '$advance', '$take_cellspec', '$line_info', '$squeeze', '$upto', '$times', '$rowspan', '$activate_rowspan', '$colspan', '$end_of_row?', '$!=', '$close_row', '$rows', '$effective_column_visits']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    \n    (function($base, $super, $parent_nesting) {\n      function $Table(){};\n      var self = $Table = $klass($base, $super, 'Table', $Table);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Table_initialize_3, TMP_Table_header_row$q_4, TMP_Table_create_columns_6, TMP_Table_assign_column_widths_9, TMP_Table_partition_header_footer_11;\n\n      def.attributes = def.document = def.has_header_option = def.rows = def.columns = nil;\n      \n      (function($base, $super, $parent_nesting) {\n        function $Rows(){};\n        var self = $Rows = $klass($base, $super, 'Rows', $Rows);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Rows_initialize_1, TMP_Rows_by_section_2;\n\n        def.head = def.foot = def.body = nil;\n        \n        self.$attr_accessor(\"head\", \"foot\", \"body\");\n        \n        Opal.def(self, '$initialize', TMP_Rows_initialize_1 = function $$initialize(head, foot, body) {\n          var self = this;\n\n          if (head == null) {\n            head = [];\n          }\n          if (foot == null) {\n            foot = [];\n          }\n          if (body == null) {\n            body = [];\n          }\n          \n          self.head = head;\n          self.foot = foot;\n          return (self.body = body);\n        }, TMP_Rows_initialize_1.$$arity = -1);\n        Opal.alias(self, \"[]\", \"send\");\n        return (Opal.def(self, '$by_section', TMP_Rows_by_section_2 = function $$by_section() {\n          var self = this;\n\n          return [[\"head\", self.head], [\"foot\", self.foot], [\"body\", self.body]]\n        }, TMP_Rows_by_section_2.$$arity = 0), nil) && 'by_section';\n      })($nesting[0], null, $nesting);\n      self.$attr_accessor(\"columns\");\n      self.$attr_accessor(\"rows\");\n      self.$attr_accessor(\"has_header_option\");\n      self.$attr_reader(\"caption\");\n      \n      Opal.def(self, '$initialize', TMP_Table_initialize_3 = function $$initialize(parent, attributes) {\n        var $a, $b, self = this, $iter = TMP_Table_initialize_3.$$p, $yield = $iter || nil, pcwidth = nil, pcwidth_intval = nil, $writer = nil;\n\n        if ($iter) TMP_Table_initialize_3.$$p = null;\n        \n        $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_Table_initialize_3, false), [parent, \"table\"], null);\n        self.rows = $$($nesting, 'Rows').$new();\n        self.columns = [];\n        self.has_header_option = attributes['$key?'](\"header-option\");\n        if ($truthy((pcwidth = attributes['$[]'](\"width\")))) {\n          if ($truthy(($truthy($a = $rb_gt((pcwidth_intval = pcwidth.$to_i()), 100)) ? $a : $rb_lt(pcwidth_intval, 1)))) {\n            if ($truthy((($a = pcwidth_intval['$=='](0)) ? ($truthy($b = pcwidth['$=='](\"0\")) ? $b : pcwidth['$=='](\"0%\")) : pcwidth_intval['$=='](0)))) {\n            } else {\n              pcwidth_intval = 100\n            }}\n        } else {\n          pcwidth_intval = 100\n        };\n        \n        $writer = [\"tablepcwidth\", pcwidth_intval];\n        $send(self.attributes, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        if ($truthy(self.document.$attributes()['$key?'](\"pagewidth\"))) {\n          ($truthy($a = self.attributes['$[]'](\"tableabswidth\")) ? $a : (($writer = [\"tableabswidth\", $rb_times($rb_divide(self.attributes['$[]'](\"tablepcwidth\").$to_f(), 100), self.document.$attributes()['$[]'](\"pagewidth\")).$round()]), $send(self.attributes, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))};\n        if ($truthy(attributes['$key?'](\"rotate-option\"))) {\n          \n          $writer = [\"orientation\", \"landscape\"];\n          $send(attributes, '[]=', Opal.to_a($writer));\n          return $writer[$rb_minus($writer[\"length\"], 1)];\n        } else {\n          return nil\n        };\n      }, TMP_Table_initialize_3.$$arity = 2);\n      \n      Opal.def(self, '$header_row?', TMP_Table_header_row$q_4 = function() {\n        var $a, self = this;\n\n        return ($truthy($a = self.has_header_option) ? self.rows.$body()['$empty?']() : $a)\n      }, TMP_Table_header_row$q_4.$$arity = 0);\n      \n      Opal.def(self, '$create_columns', TMP_Table_create_columns_6 = function $$create_columns(colspecs) {\n        var TMP_5, self = this, cols = nil, width_base = nil, $writer = nil;\n\n        \n        cols = [];\n        width_base = 0;\n        $send(colspecs, 'each', [], (TMP_5 = function(colspec){var self = TMP_5.$$s || this;\nif (colspec == null) colspec = nil;\n        \n          width_base = $rb_plus(width_base, colspec['$[]'](\"width\"));\n          return cols['$<<']($$($nesting, 'Column').$new(self, cols.$size(), colspec));}, TMP_5.$$s = self, TMP_5.$$arity = 1, TMP_5));\n        if ($truthy((self.columns = cols)['$empty?']())) {\n        } else {\n          \n          \n          $writer = [\"colcount\", cols.$size()];\n          $send(self.attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          self.$assign_column_widths((function() {if (width_base['$=='](0)) {\n            return nil\n          } else {\n            return width_base\n          }; return nil; })());\n        };\n        return nil;\n      }, TMP_Table_create_columns_6.$$arity = 1);\n      \n      Opal.def(self, '$assign_column_widths', TMP_Table_assign_column_widths_9 = function $$assign_column_widths(width_base) {\n        var TMP_7, TMP_8, self = this, pf = nil, total_width = nil, col_pcwidth = nil;\n\n        if (width_base == null) {\n          width_base = nil;\n        }\n        \n        pf = (10)['$**'](4);\n        total_width = (col_pcwidth = 0);\n        if ($truthy(width_base)) {\n          $send(self.columns, 'each', [], (TMP_7 = function(col){var self = TMP_7.$$s || this;\nif (col == null) col = nil;\n          return (total_width = $rb_plus(total_width, (col_pcwidth = col.$assign_width(nil, width_base, pf))))}, TMP_7.$$s = self, TMP_7.$$arity = 1, TMP_7))\n        } else {\n          \n          col_pcwidth = $rb_divide($rb_divide($rb_times(100, pf), self.columns.$size()).$to_i(), pf);\n          if (col_pcwidth.$to_i()['$=='](col_pcwidth)) {\n            col_pcwidth = col_pcwidth.$to_i()};\n          $send(self.columns, 'each', [], (TMP_8 = function(col){var self = TMP_8.$$s || this;\nif (col == null) col = nil;\n          return (total_width = $rb_plus(total_width, col.$assign_width(col_pcwidth)))}, TMP_8.$$s = self, TMP_8.$$arity = 1, TMP_8));\n        };\n        if (total_width['$=='](100)) {\n        } else {\n          self.columns['$[]'](-1).$assign_width($rb_divide($rb_times($rb_plus($rb_minus(100, total_width), col_pcwidth), pf).$round(), pf))\n        };\n        return nil;\n      }, TMP_Table_assign_column_widths_9.$$arity = -1);\n      return (Opal.def(self, '$partition_header_footer', TMP_Table_partition_header_footer_11 = function $$partition_header_footer(attrs) {\n        var $a, TMP_10, self = this, $writer = nil, num_body_rows = nil, head = nil;\n\n        \n        \n        $writer = [\"rowcount\", self.rows.$body().$size()];\n        $send(self.attributes, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        num_body_rows = self.rows.$body().$size();\n        if ($truthy(($truthy($a = $rb_gt(num_body_rows, 0)) ? self.has_header_option : $a))) {\n          \n          head = self.rows.$body().$shift();\n          num_body_rows = $rb_minus(num_body_rows, 1);\n          $send(head, 'each', [], (TMP_10 = function(c){var self = TMP_10.$$s || this;\nif (c == null) c = nil;\n          \n            $writer = [nil];\n            $send(c, 'style=', Opal.to_a($writer));\n            return $writer[$rb_minus($writer[\"length\"], 1)];}, TMP_10.$$s = self, TMP_10.$$arity = 1, TMP_10));\n          \n          $writer = [[head]];\n          $send(self.rows, 'head=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;};\n        if ($truthy(($truthy($a = $rb_gt(num_body_rows, 0)) ? attrs['$key?'](\"footer-option\") : $a))) {\n          \n          $writer = [[self.rows.$body().$pop()]];\n          $send(self.rows, 'foot=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];};\n        return nil;\n      }, TMP_Table_partition_header_footer_11.$$arity = 1), nil) && 'partition_header_footer';\n    })($nesting[0], $$($nesting, 'AbstractBlock'), $nesting);\n    (function($base, $super, $parent_nesting) {\n      function $Column(){};\n      var self = $Column = $klass($base, $super, 'Column', $Column);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Column_initialize_12, TMP_Column_assign_width_13;\n\n      def.attributes = nil;\n      \n      self.$attr_accessor(\"style\");\n      \n      Opal.def(self, '$initialize', TMP_Column_initialize_12 = function $$initialize(table, index, attributes) {\n        var $a, self = this, $iter = TMP_Column_initialize_12.$$p, $yield = $iter || nil, $writer = nil;\n\n        if (attributes == null) {\n          attributes = $hash2([], {});\n        }\n        if ($iter) TMP_Column_initialize_12.$$p = null;\n        \n        $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_Column_initialize_12, false), [table, \"column\"], null);\n        self.style = attributes['$[]'](\"style\");\n        \n        $writer = [\"colnumber\", $rb_plus(index, 1)];\n        $send(attributes, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        ($truthy($a = attributes['$[]'](\"width\")) ? $a : (($writer = [\"width\", 1]), $send(attributes, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n        ($truthy($a = attributes['$[]'](\"halign\")) ? $a : (($writer = [\"halign\", \"left\"]), $send(attributes, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n        ($truthy($a = attributes['$[]'](\"valign\")) ? $a : (($writer = [\"valign\", \"top\"]), $send(attributes, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n        return self.$update_attributes(attributes);\n      }, TMP_Column_initialize_12.$$arity = -3);\n      Opal.alias(self, \"table\", \"parent\");\n      return (Opal.def(self, '$assign_width', TMP_Column_assign_width_13 = function $$assign_width(col_pcwidth, width_base, pf) {\n        var self = this, $writer = nil;\n\n        if (width_base == null) {\n          width_base = nil;\n        }\n        if (pf == null) {\n          pf = 10000;\n        }\n        \n        if ($truthy(width_base)) {\n          \n          col_pcwidth = $rb_divide($rb_times($rb_times($rb_divide(self.attributes['$[]'](\"width\").$to_f(), width_base), 100), pf).$to_i(), pf);\n          if (col_pcwidth.$to_i()['$=='](col_pcwidth)) {\n            col_pcwidth = col_pcwidth.$to_i()};};\n        \n        $writer = [\"colpcwidth\", col_pcwidth];\n        $send(self.attributes, '[]=', Opal.to_a($writer));\n        $writer[$rb_minus($writer[\"length\"], 1)];;\n        if ($truthy(self.$parent().$attributes()['$key?'](\"tableabswidth\"))) {\n          \n          $writer = [\"colabswidth\", $rb_times($rb_divide(col_pcwidth, 100), self.$parent().$attributes()['$[]'](\"tableabswidth\")).$round()];\n          $send(self.attributes, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];};\n        return col_pcwidth;\n      }, TMP_Column_assign_width_13.$$arity = -2), nil) && 'assign_width';\n    })($$($nesting, 'Table'), $$($nesting, 'AbstractNode'), $nesting);\n    (function($base, $super, $parent_nesting) {\n      function $Cell(){};\n      var self = $Cell = $klass($base, $super, 'Cell', $Cell);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Cell_initialize_14, TMP_Cell_text_15, TMP_Cell_text$eq_16, TMP_Cell_content_18, TMP_Cell_to_s_19;\n\n      def.document = def.text = def.style = def.inner_document = def.colspan = def.rowspan = def.attributes = nil;\n      \n      self.$attr_accessor(\"style\");\n      self.$attr_accessor(\"colspan\");\n      self.$attr_accessor(\"rowspan\");\n      Opal.alias(self, \"column\", \"parent\");\n      self.$attr_reader(\"inner_document\");\n      \n      Opal.def(self, '$initialize', TMP_Cell_initialize_14 = function $$initialize(column, cell_text, attributes, opts) {\n        var $a, self = this, $iter = TMP_Cell_initialize_14.$$p, $yield = $iter || nil, cell_style = nil, in_header_row = nil, parent_doctitle = nil, inner_document_lines = nil, unprocessed_line1 = nil, preprocessed_lines = nil, $writer = nil;\n\n        if (attributes == null) {\n          attributes = $hash2([], {});\n        }\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        if ($iter) TMP_Cell_initialize_14.$$p = null;\n        \n        $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_Cell_initialize_14, false), [column, \"cell\"], null);\n        if ($truthy(column)) {\n          \n          cell_style = (function() {if ($truthy((in_header_row = column.$table()['$header_row?']()))) {\n            return nil\n          } else {\n            return column.$attributes()['$[]'](\"style\")\n          }; return nil; })();\n          self.$update_attributes(column.$attributes());\n        } else {\n          in_header_row = (cell_style = nil)\n        };\n        if ($truthy(attributes)) {\n          \n          self.colspan = attributes.$delete(\"colspan\");\n          self.rowspan = attributes.$delete(\"rowspan\");\n          if ($truthy(($truthy($a = in_header_row) ? $a : attributes['$key?'](\"style\")['$!']()))) {\n          } else {\n            cell_style = attributes['$[]'](\"style\")\n          };\n          if ($truthy(opts['$[]'](\"strip_text\"))) {\n            if ($truthy(($truthy($a = cell_style['$=='](\"literal\")) ? $a : cell_style['$=='](\"verse\")))) {\n              \n              cell_text = cell_text.$rstrip();\n              while ($truthy(cell_text['$start_with?']($$($nesting, 'LF')))) {\n                cell_text = cell_text.$slice(1, $rb_minus(cell_text.$length(), 1))\n              };\n            } else {\n              cell_text = cell_text.$strip()\n            }};\n          self.$update_attributes(attributes);\n        } else {\n          \n          self.colspan = nil;\n          self.rowspan = nil;\n        };\n        if (cell_style['$=='](\"asciidoc\")) {\n          \n          parent_doctitle = self.document.$attributes().$delete(\"doctitle\");\n          inner_document_lines = cell_text.$split($$($nesting, 'LF'), -1);\n          if ($truthy(inner_document_lines['$empty?']())) {\n          } else if ($truthy((unprocessed_line1 = inner_document_lines['$[]'](0))['$include?'](\"::\"))) {\n            \n            preprocessed_lines = $$($nesting, 'PreprocessorReader').$new(self.document, [unprocessed_line1]).$readlines();\n            if ($truthy((($a = unprocessed_line1['$=='](preprocessed_lines['$[]'](0))) ? $rb_lt(preprocessed_lines.$size(), 2) : unprocessed_line1['$=='](preprocessed_lines['$[]'](0))))) {\n            } else {\n              \n              inner_document_lines.$shift();\n              if ($truthy(preprocessed_lines['$empty?']())) {\n              } else {\n                $send(inner_document_lines, 'unshift', Opal.to_a(preprocessed_lines))\n              };\n            };};\n          self.inner_document = $$($nesting, 'Document').$new(inner_document_lines, $hash2([\"header_footer\", \"parent\", \"cursor\"], {\"header_footer\": false, \"parent\": self.document, \"cursor\": opts['$[]'](\"cursor\")}));\n          if ($truthy(parent_doctitle['$nil?']())) {\n          } else {\n            \n            $writer = [\"doctitle\", parent_doctitle];\n            $send(self.document.$attributes(), '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];\n          };};\n        self.text = cell_text;\n        return (self.style = cell_style);\n      }, TMP_Cell_initialize_14.$$arity = -3);\n      \n      Opal.def(self, '$text', TMP_Cell_text_15 = function $$text() {\n        var self = this;\n\n        return self.$apply_subs(self.text, (function() {if (self.style['$=='](\"literal\")) {\n          return $$($nesting, 'BASIC_SUBS')\n        } else {\n          return $$($nesting, 'NORMAL_SUBS')\n        }; return nil; })())\n      }, TMP_Cell_text_15.$$arity = 0);\n      \n      Opal.def(self, '$text=', TMP_Cell_text$eq_16 = function(val) {\n        var self = this;\n\n        return (self.text = val)\n      }, TMP_Cell_text$eq_16.$$arity = 1);\n      \n      Opal.def(self, '$content', TMP_Cell_content_18 = function $$content() {\n        var TMP_17, self = this;\n\n        if (self.style['$=='](\"asciidoc\")) {\n          return self.inner_document.$convert()\n        } else {\n          return $send(self.$text().$split($$($nesting, 'BlankLineRx')), 'map', [], (TMP_17 = function(p){var self = TMP_17.$$s || this, $a;\n            if (self.style == null) self.style = nil;\nif (p == null) p = nil;\n          if ($truthy(($truthy($a = self.style['$!']()) ? $a : self.style['$=='](\"header\")))) {\n              return p\n            } else {\n              return $$($nesting, 'Inline').$new(self.$parent(), \"quoted\", p, $hash2([\"type\"], {\"type\": self.style})).$convert()\n            }}, TMP_17.$$s = self, TMP_17.$$arity = 1, TMP_17))\n        }\n      }, TMP_Cell_content_18.$$arity = 0);\n      return (Opal.def(self, '$to_s', TMP_Cell_to_s_19 = function $$to_s() {\n        var $a, self = this, $iter = TMP_Cell_to_s_19.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n        if ($iter) TMP_Cell_to_s_19.$$p = null;\n        // Prepare super implicit arguments\n        for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n          $zuper[$zuper_i] = arguments[$zuper_i];\n        }\n        return \"\" + ($send(self, Opal.find_super_dispatcher(self, 'to_s', TMP_Cell_to_s_19, false), $zuper, $iter).$to_s()) + \" - [text: \" + (self.text) + \", colspan: \" + (($truthy($a = self.colspan) ? $a : 1)) + \", rowspan: \" + (($truthy($a = self.rowspan) ? $a : 1)) + \", attributes: \" + (self.attributes) + \"]\"\n      }, TMP_Cell_to_s_19.$$arity = 0), nil) && 'to_s';\n    })($$($nesting, 'Table'), $$($nesting, 'AbstractNode'), $nesting);\n    (function($base, $super, $parent_nesting) {\n      function $ParserContext(){};\n      var self = $ParserContext = $klass($base, $super, 'ParserContext', $ParserContext);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_ParserContext_initialize_20, TMP_ParserContext_starts_with_delimiter$q_21, TMP_ParserContext_match_delimiter_22, TMP_ParserContext_skip_past_delimiter_23, TMP_ParserContext_skip_past_escaped_delimiter_24, TMP_ParserContext_buffer_has_unclosed_quotes$q_25, TMP_ParserContext_take_cellspec_26, TMP_ParserContext_push_cellspec_27, TMP_ParserContext_keep_cell_open_28, TMP_ParserContext_mark_cell_closed_29, TMP_ParserContext_cell_open$q_30, TMP_ParserContext_cell_closed$q_31, TMP_ParserContext_close_open_cell_32, TMP_ParserContext_close_cell_35, TMP_ParserContext_close_row_36, TMP_ParserContext_activate_rowspan_38, TMP_ParserContext_end_of_row$q_39, TMP_ParserContext_effective_column_visits_40, TMP_ParserContext_advance_41;\n\n      def.delimiter = def.delimiter_re = def.buffer = def.cellspecs = def.cell_open = def.format = def.last_cursor = def.table = def.current_row = def.colcount = def.column_visits = def.active_rowspans = def.linenum = nil;\n      \n      Opal.const_set($nesting[0], 'FORMATS', [\"psv\", \"csv\", \"dsv\", \"tsv\"].$to_set());\n      Opal.const_set($nesting[0], 'DELIMITERS', $hash2([\"psv\", \"csv\", \"dsv\", \"tsv\", \"!sv\"], {\"psv\": [\"|\", /\\|/], \"csv\": [\",\", /,/], \"dsv\": [\":\", /:/], \"tsv\": [\"\\t\", /\\t/], \"!sv\": [\"!\", /!/]}));\n      self.$attr_accessor(\"table\");\n      self.$attr_accessor(\"format\");\n      self.$attr_reader(\"colcount\");\n      self.$attr_accessor(\"buffer\");\n      self.$attr_reader(\"delimiter\");\n      self.$attr_reader(\"delimiter_re\");\n      \n      Opal.def(self, '$initialize', TMP_ParserContext_initialize_20 = function $$initialize(reader, table, attributes) {\n        var $a, $b, self = this, xsv = nil, sep = nil;\n\n        if (attributes == null) {\n          attributes = $hash2([], {});\n        }\n        \n        self.reader = reader;\n        self.table = table;\n        self.last_cursor = reader.$cursor();\n        if ($truthy(attributes['$key?'](\"format\"))) {\n          if ($truthy($$($nesting, 'FORMATS')['$include?']((xsv = attributes['$[]'](\"format\"))))) {\n            if (xsv['$=='](\"tsv\")) {\n              self.format = \"csv\"\n            } else if ($truthy((($a = (self.format = xsv)['$=='](\"psv\")) ? table.$document()['$nested?']() : (self.format = xsv)['$=='](\"psv\")))) {\n              xsv = \"!sv\"}\n          } else {\n            \n            self.$warn(\"\" + \"asciidoctor: ERROR: \" + (reader.$prev_line_info()) + \": illegal table format: \" + (xsv));\n            $a = [\"psv\", (function() {if ($truthy(table.$document()['$nested?']())) {\n              return \"!sv\"\n            } else {\n              return \"psv\"\n            }; return nil; })()], (self.format = $a[0]), (xsv = $a[1]), $a;\n          }\n        } else {\n          $a = [\"psv\", (function() {if ($truthy(table.$document()['$nested?']())) {\n            return \"!sv\"\n          } else {\n            return \"psv\"\n          }; return nil; })()], (self.format = $a[0]), (xsv = $a[1]), $a\n        };\n        if ($truthy(attributes['$key?'](\"separator\"))) {\n          if ($truthy((sep = attributes['$[]'](\"separator\"))['$nil_or_empty?']())) {\n            $b = $$($nesting, 'DELIMITERS')['$[]'](xsv), $a = Opal.to_ary($b), (self.delimiter = ($a[0] == null ? nil : $a[0])), (self.delimiter_re = ($a[1] == null ? nil : $a[1])), $b\n          } else if (sep['$=='](\"\\\\t\")) {\n            $b = $$($nesting, 'DELIMITERS')['$[]'](\"tsv\"), $a = Opal.to_ary($b), (self.delimiter = ($a[0] == null ? nil : $a[0])), (self.delimiter_re = ($a[1] == null ? nil : $a[1])), $b\n          } else {\n            $a = [sep, new RegExp($$$('::', 'Regexp').$escape(sep))], (self.delimiter = $a[0]), (self.delimiter_re = $a[1]), $a\n          }\n        } else {\n          $b = $$($nesting, 'DELIMITERS')['$[]'](xsv), $a = Opal.to_ary($b), (self.delimiter = ($a[0] == null ? nil : $a[0])), (self.delimiter_re = ($a[1] == null ? nil : $a[1])), $b\n        };\n        self.colcount = (function() {if ($truthy(table.$columns()['$empty?']())) {\n          return -1\n        } else {\n          return table.$columns().$size()\n        }; return nil; })();\n        self.buffer = \"\";\n        self.cellspecs = [];\n        self.cell_open = false;\n        self.active_rowspans = [0];\n        self.column_visits = 0;\n        self.current_row = [];\n        return (self.linenum = -1);\n      }, TMP_ParserContext_initialize_20.$$arity = -3);\n      \n      Opal.def(self, '$starts_with_delimiter?', TMP_ParserContext_starts_with_delimiter$q_21 = function(line) {\n        var self = this;\n\n        return line['$start_with?'](self.delimiter)\n      }, TMP_ParserContext_starts_with_delimiter$q_21.$$arity = 1);\n      \n      Opal.def(self, '$match_delimiter', TMP_ParserContext_match_delimiter_22 = function $$match_delimiter(line) {\n        var self = this;\n\n        return self.delimiter_re.$match(line)\n      }, TMP_ParserContext_match_delimiter_22.$$arity = 1);\n      \n      Opal.def(self, '$skip_past_delimiter', TMP_ParserContext_skip_past_delimiter_23 = function $$skip_past_delimiter(match) {\n        var self = this;\n\n        \n        self.buffer = \"\" + (self.buffer) + (match.$pre_match()) + (self.delimiter);\n        return match.$post_match();\n      }, TMP_ParserContext_skip_past_delimiter_23.$$arity = 1);\n      \n      Opal.def(self, '$skip_past_escaped_delimiter', TMP_ParserContext_skip_past_escaped_delimiter_24 = function $$skip_past_escaped_delimiter(match) {\n        var self = this;\n\n        \n        self.buffer = \"\" + (self.buffer) + (match.$pre_match().$chop()) + (self.delimiter);\n        return match.$post_match();\n      }, TMP_ParserContext_skip_past_escaped_delimiter_24.$$arity = 1);\n      \n      Opal.def(self, '$buffer_has_unclosed_quotes?', TMP_ParserContext_buffer_has_unclosed_quotes$q_25 = function(append) {\n        var $a, $b, self = this, record = nil, trailing_quote = nil;\n\n        if (append == null) {\n          append = nil;\n        }\n        if ($truthy((record = (function() {if ($truthy(append)) {\n          return $rb_plus(self.$buffer(), append).$strip()\n        } else {\n          return self.$buffer().$strip()\n        }; return nil; })())['$start_with?'](\"\\\"\"))) {\n          if ($truthy(($truthy($a = ($truthy($b = (trailing_quote = record['$end_with?'](\"\\\"\"))) ? record['$end_with?'](\"\\\"\\\"\") : $b)) ? $a : record['$start_with?'](\"\\\"\\\"\")))) {\n            return ($truthy($a = (record = record.$gsub(\"\\\"\\\"\", \"\"))['$start_with?'](\"\\\"\")) ? record['$end_with?'](\"\\\"\")['$!']() : $a)\n          } else {\n            return trailing_quote['$!']()\n          }\n        } else {\n          return false\n        }\n      }, TMP_ParserContext_buffer_has_unclosed_quotes$q_25.$$arity = -1);\n      \n      Opal.def(self, '$take_cellspec', TMP_ParserContext_take_cellspec_26 = function $$take_cellspec() {\n        var self = this;\n\n        return self.cellspecs.$shift()\n      }, TMP_ParserContext_take_cellspec_26.$$arity = 0);\n      \n      Opal.def(self, '$push_cellspec', TMP_ParserContext_push_cellspec_27 = function $$push_cellspec(cellspec) {\n        var $a, self = this;\n\n        if (cellspec == null) {\n          cellspec = $hash2([], {});\n        }\n        \n        self.cellspecs['$<<'](($truthy($a = cellspec) ? $a : $hash2([], {})));\n        return nil;\n      }, TMP_ParserContext_push_cellspec_27.$$arity = -1);\n      \n      Opal.def(self, '$keep_cell_open', TMP_ParserContext_keep_cell_open_28 = function $$keep_cell_open() {\n        var self = this;\n\n        \n        self.cell_open = true;\n        return nil;\n      }, TMP_ParserContext_keep_cell_open_28.$$arity = 0);\n      \n      Opal.def(self, '$mark_cell_closed', TMP_ParserContext_mark_cell_closed_29 = function $$mark_cell_closed() {\n        var self = this;\n\n        \n        self.cell_open = false;\n        return nil;\n      }, TMP_ParserContext_mark_cell_closed_29.$$arity = 0);\n      \n      Opal.def(self, '$cell_open?', TMP_ParserContext_cell_open$q_30 = function() {\n        var self = this;\n\n        return self.cell_open\n      }, TMP_ParserContext_cell_open$q_30.$$arity = 0);\n      \n      Opal.def(self, '$cell_closed?', TMP_ParserContext_cell_closed$q_31 = function() {\n        var self = this;\n\n        return self.cell_open['$!']()\n      }, TMP_ParserContext_cell_closed$q_31.$$arity = 0);\n      \n      Opal.def(self, '$close_open_cell', TMP_ParserContext_close_open_cell_32 = function $$close_open_cell(next_cellspec) {\n        var self = this;\n\n        if (next_cellspec == null) {\n          next_cellspec = $hash2([], {});\n        }\n        \n        self.$push_cellspec(next_cellspec);\n        if ($truthy(self['$cell_open?']())) {\n          self.$close_cell(true)};\n        self.$advance();\n        return nil;\n      }, TMP_ParserContext_close_open_cell_32.$$arity = -1);\n      \n      Opal.def(self, '$close_cell', TMP_ParserContext_close_cell_35 = function $$close_cell(eol) {try {\n\n        var $a, TMP_33, self = this, strip_text = nil, cell_text = nil, cellspec = nil, repeat = nil;\n\n        if (eol == null) {\n          eol = false;\n        }\n        \n        if (self.format['$=='](\"psv\")) {\n          \n          strip_text = true;\n          cell_text = self.buffer;\n          self.buffer = \"\";\n          if ($truthy((cellspec = self.$take_cellspec()))) {\n            repeat = ($truthy($a = cellspec.$delete(\"repeatcol\")) ? $a : 1)\n          } else {\n            \n            self.$warn(\"\" + \"asciidoctor: ERROR: \" + (self.last_cursor.$line_info()) + \": table missing leading separator, recovering automatically\");\n            cellspec = $hash2([], {});\n            repeat = 1;\n          };\n        } else {\n          \n          strip_text = false;\n          cell_text = self.buffer.$strip();\n          self.buffer = \"\";\n          cellspec = nil;\n          repeat = 1;\n          if (self.format['$=='](\"csv\")) {\n            if ($truthy(($truthy($a = cell_text['$empty?']()['$!']()) ? cell_text['$include?'](\"\\\"\") : $a))) {\n              \n              if ($truthy(($truthy($a = cell_text['$start_with?'](\"\\\"\")) ? cell_text['$end_with?'](\"\\\"\") : $a))) {\n                cell_text = cell_text['$[]']($range(1, -1, true)).$strip()};\n              cell_text = cell_text.$squeeze(\"\\\"\");}};\n        };\n        $send((1), 'upto', [repeat], (TMP_33 = function(i){var self = TMP_33.$$s || this, $b, $c, TMP_34, $d, column = nil, extra_cols = nil, offset = nil, cell = nil;\n          if (self.colcount == null) self.colcount = nil;\n          if (self.table == null) self.table = nil;\n          if (self.current_row == null) self.current_row = nil;\n          if (self.last_cursor == null) self.last_cursor = nil;\n          if (self.reader == null) self.reader = nil;\n          if (self.column_visits == null) self.column_visits = nil;\n          if (self.linenum == null) self.linenum = nil;\nif (i == null) i = nil;\n        \n          if (self.colcount['$=='](-1)) {\n            \n            self.table.$columns()['$<<']((column = $$$($$($nesting, 'Table'), 'Column').$new(self.table, $rb_minus($rb_plus(self.table.$columns().$size(), i), 1))));\n            if ($truthy(($truthy($b = ($truthy($c = cellspec) ? cellspec['$key?'](\"colspan\") : $c)) ? $rb_gt((extra_cols = $rb_minus(cellspec['$[]'](\"colspan\").$to_i(), 1)), 0) : $b))) {\n              \n              offset = self.table.$columns().$size();\n              $send(extra_cols, 'times', [], (TMP_34 = function(j){var self = TMP_34.$$s || this;\n                if (self.table == null) self.table = nil;\nif (j == null) j = nil;\n              return self.table.$columns()['$<<']($$$($$($nesting, 'Table'), 'Column').$new(self.table, $rb_plus(offset, j)))}, TMP_34.$$s = self, TMP_34.$$arity = 1, TMP_34));};\n          } else if ($truthy((column = self.table.$columns()['$[]'](self.current_row.$size())))) {\n          } else {\n            \n            self.$warn(\"\" + \"asciidoctor: ERROR: \" + (self.last_cursor.$line_info()) + \": dropping cell because it exceeds specified number of columns\");\n            Opal.ret(nil);\n          };\n          cell = $$$($$($nesting, 'Table'), 'Cell').$new(column, cell_text, cellspec, $hash2([\"cursor\", \"strip_text\"], {\"cursor\": self.last_cursor, \"strip_text\": strip_text}));\n          self.last_cursor = self.reader.$cursor();\n          if ($truthy(($truthy($b = cell.$rowspan()['$!']()) ? $b : cell.$rowspan()['$=='](1)))) {\n          } else {\n            self.$activate_rowspan(cell.$rowspan(), ($truthy($b = cell.$colspan()) ? $b : 1))\n          };\n          self.column_visits = $rb_plus(self.column_visits, ($truthy($b = cell.$colspan()) ? $b : 1));\n          self.current_row['$<<'](cell);\n          if ($truthy(($truthy($b = self['$end_of_row?']()) ? ($truthy($c = ($truthy($d = self.colcount['$!='](-1)) ? $d : $rb_gt(self.linenum, 0))) ? $c : ($truthy($d = eol) ? i['$=='](repeat) : $d)) : $b))) {\n            return self.$close_row()\n          } else {\n            return nil\n          };}, TMP_33.$$s = self, TMP_33.$$arity = 1, TMP_33));\n        self.cell_open = false;\n        return nil;\n        } catch ($returner) { if ($returner === Opal.returner) { return $returner.$v } throw $returner; }\n      }, TMP_ParserContext_close_cell_35.$$arity = -1);\n      \n      Opal.def(self, '$close_row', TMP_ParserContext_close_row_36 = function $$close_row() {\n        var $a, self = this, $writer = nil;\n\n        \n        self.table.$rows().$body()['$<<'](self.current_row);\n        if (self.colcount['$=='](-1)) {\n          self.colcount = self.column_visits};\n        self.column_visits = 0;\n        self.current_row = [];\n        self.active_rowspans.$shift();\n        ($truthy($a = self.active_rowspans['$[]'](0)) ? $a : (($writer = [0, 0]), $send(self.active_rowspans, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n        return nil;\n      }, TMP_ParserContext_close_row_36.$$arity = 0);\n      \n      Opal.def(self, '$activate_rowspan', TMP_ParserContext_activate_rowspan_38 = function $$activate_rowspan(rowspan, colspan) {\n        var TMP_37, self = this;\n\n        \n        $send((1).$upto($rb_minus(rowspan, 1)), 'each', [], (TMP_37 = function(i){var self = TMP_37.$$s || this, $a, $writer = nil;\n          if (self.active_rowspans == null) self.active_rowspans = nil;\nif (i == null) i = nil;\n        \n          $writer = [i, $rb_plus(($truthy($a = self.active_rowspans['$[]'](i)) ? $a : 0), colspan)];\n          $send(self.active_rowspans, '[]=', Opal.to_a($writer));\n          return $writer[$rb_minus($writer[\"length\"], 1)];}, TMP_37.$$s = self, TMP_37.$$arity = 1, TMP_37));\n        return nil;\n      }, TMP_ParserContext_activate_rowspan_38.$$arity = 2);\n      \n      Opal.def(self, '$end_of_row?', TMP_ParserContext_end_of_row$q_39 = function() {\n        var $a, self = this;\n\n        return ($truthy($a = self.colcount['$=='](-1)) ? $a : self.$effective_column_visits()['$=='](self.colcount))\n      }, TMP_ParserContext_end_of_row$q_39.$$arity = 0);\n      \n      Opal.def(self, '$effective_column_visits', TMP_ParserContext_effective_column_visits_40 = function $$effective_column_visits() {\n        var self = this;\n\n        return $rb_plus(self.column_visits, self.active_rowspans['$[]'](0))\n      }, TMP_ParserContext_effective_column_visits_40.$$arity = 0);\n      return (Opal.def(self, '$advance', TMP_ParserContext_advance_41 = function $$advance() {\n        var self = this;\n\n        return (self.linenum = $rb_plus(self.linenum, 1))\n      }, TMP_ParserContext_advance_41.$$arity = 0), nil) && 'advance';\n    })($$($nesting, 'Table'), null, $nesting);\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/converter/composite\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $send = Opal.send, $truthy = Opal.truthy, $hash2 = Opal.hash2;\n\n  Opal.add_stubs(['$attr_reader', '$each', '$compact', '$flatten', '$respond_to?', '$composed', '$node_name', '$convert', '$converter_for', '$[]', '$find_converter', '$[]=', '$-', '$handles?', '$raise']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $CompositeConverter(){};\n      var self = $CompositeConverter = $klass($base, $super, 'CompositeConverter', $CompositeConverter);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_CompositeConverter_initialize_2, TMP_CompositeConverter_convert_3, TMP_CompositeConverter_converter_for_4, TMP_CompositeConverter_find_converter_6;\n\n      def.converter_map = def.converters = nil;\n      \n      self.$attr_reader(\"converters\");\n      \n      Opal.def(self, '$initialize', TMP_CompositeConverter_initialize_2 = function $$initialize(backend, $a_rest) {\n        var TMP_1, self = this, converters;\n\n        var $args_len = arguments.length, $rest_len = $args_len - 1;\n        if ($rest_len < 0) { $rest_len = 0; }\n        converters = new Array($rest_len);\n        for (var $arg_idx = 1; $arg_idx < $args_len; $arg_idx++) {\n          converters[$arg_idx - 1] = arguments[$arg_idx];\n        }\n        \n        self.backend = backend;\n        $send((self.converters = converters.$flatten().$compact()), 'each', [], (TMP_1 = function(converter){var self = TMP_1.$$s || this;\nif (converter == null) converter = nil;\n        if ($truthy(converter['$respond_to?'](\"composed\"))) {\n            return converter.$composed(self)\n          } else {\n            return nil\n          }}, TMP_1.$$s = self, TMP_1.$$arity = 1, TMP_1));\n        return (self.converter_map = $hash2([], {}));\n      }, TMP_CompositeConverter_initialize_2.$$arity = -2);\n      \n      Opal.def(self, '$convert', TMP_CompositeConverter_convert_3 = function $$convert(node, transform, opts) {\n        var $a, self = this;\n\n        if (transform == null) {\n          transform = nil;\n        }\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        \n        transform = ($truthy($a = transform) ? $a : node.$node_name());\n        return self.$converter_for(transform).$convert(node, transform, opts);\n      }, TMP_CompositeConverter_convert_3.$$arity = -2);\n      Opal.alias(self, \"convert_with_options\", \"convert\");\n      \n      Opal.def(self, '$converter_for', TMP_CompositeConverter_converter_for_4 = function $$converter_for(transform) {\n        var $a, self = this, $writer = nil;\n\n        return ($truthy($a = self.converter_map['$[]'](transform)) ? $a : (($writer = [transform, self.$find_converter(transform)]), $send(self.converter_map, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))\n      }, TMP_CompositeConverter_converter_for_4.$$arity = 1);\n      return (Opal.def(self, '$find_converter', TMP_CompositeConverter_find_converter_6 = function $$find_converter(transform) {try {\n\n        var TMP_5, self = this;\n\n        \n        $send(self.converters, 'each', [], (TMP_5 = function(candidate){var self = TMP_5.$$s || this;\nif (candidate == null) candidate = nil;\n        if ($truthy(candidate['$handles?'](transform))) {\n            Opal.ret(candidate)\n          } else {\n            return nil\n          }}, TMP_5.$$s = self, TMP_5.$$arity = 1, TMP_5));\n        return self.$raise(\"\" + \"Could not find a converter to handle transform: \" + (transform));\n        } catch ($returner) { if ($returner === Opal.returner) { return $returner.$v } throw $returner; }\n      }, TMP_CompositeConverter_find_converter_6.$$arity = 1), nil) && 'find_converter';\n    })($$($nesting, 'Converter'), $$$($$($nesting, 'Converter'), 'Base'), $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/converter/html5\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_ge(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs >= rhs : lhs['$>='](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_le(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs <= rhs : lhs['$<='](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $send = Opal.send, $hash2 = Opal.hash2, $truthy = Opal.truthy, $range = Opal.range;\n\n  Opal.add_stubs(['$default=', '$-', '$==', '$[]', '$instance', '$empty?', '$attr', '$>=', '$safe', '$attr?', '$<<', '$include?', '$gsub', '$extname', '$doctitle', '$normalize_web_path', '$embed_primary_stylesheet', '$read_asset', '$normalize_system_path', '$===', '$coderay_stylesheet_name', '$embed_coderay_stylesheet', '$pygments_stylesheet_name', '$embed_pygments_stylesheet', '$docinfo', '$id', '$sections?', '$doctype', '$*', '$noheader', '$outline', '$has_header?', '$notitle', '$title', '$header', '$sub_macros', '$>', '$to_i', '$each', '$downcase', '$concat', '$content', '$footnotes?', '$!', '$footnotes', '$index', '$text', '$nofooter', '$inspect', '$!=', '$document', '$sections', '$level', '$caption', '$captioned_title', '$numbered', '$<=', '$sectnum', '$<', '$+', '$role', '$title?', '$icon_uri', '$compact', '$media_uri', '$option?', '$append_boolean_attribute', '$style', '$items', '$blocks?', '$text?', '$chomp', '$read_svg_contents', '$alt', '$image_uri', '$encode_quotes', '$to_sym', '$start_with?', '$end_with?', '$list_marker_keyword', '$parent', '$warn', '$context', '$times', '$size', '$columns', '$by_section', '$rows', '$colspan', '$rowspan', '$role?', '$unshift', '$shift', '$split', '$nil_or_empty?', '$type', '$attributes', '$catalog', '$xreftext', '$target', '$join', '$map', '$chop', '$read_contents', '$sub', '$match', '$length']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $Html5Converter(){};\n      var self = $Html5Converter = $klass($base, $super, 'Html5Converter', $Html5Converter);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Html5Converter_initialize_1, TMP_Html5Converter_document_4, TMP_Html5Converter_embedded_6, TMP_Html5Converter_outline_8, TMP_Html5Converter_section_9, TMP_Html5Converter_admonition_10, TMP_Html5Converter_audio_11, TMP_Html5Converter_colist_14, TMP_Html5Converter_dlist_21, TMP_Html5Converter_example_22, TMP_Html5Converter_floating_title_23, TMP_Html5Converter_image_24, TMP_Html5Converter_listing_25, TMP_Html5Converter_literal_26, TMP_Html5Converter_stem_27, TMP_Html5Converter_olist_29, TMP_Html5Converter_open_30, TMP_Html5Converter_page_break_31, TMP_Html5Converter_paragraph_32, TMP_Html5Converter_preamble_33, TMP_Html5Converter_quote_34, TMP_Html5Converter_thematic_break_35, TMP_Html5Converter_sidebar_36, TMP_Html5Converter_table_42, TMP_Html5Converter_toc_43, TMP_Html5Converter_ulist_45, TMP_Html5Converter_verse_46, TMP_Html5Converter_video_47, TMP_Html5Converter_inline_anchor_48, TMP_Html5Converter_inline_break_49, TMP_Html5Converter_inline_button_50, TMP_Html5Converter_inline_callout_51, TMP_Html5Converter_inline_footnote_52, TMP_Html5Converter_inline_image_55, TMP_Html5Converter_inline_indexterm_56, TMP_Html5Converter_inline_kbd_57, TMP_Html5Converter_inline_menu_58, TMP_Html5Converter_inline_quoted_59, TMP_Html5Converter_append_boolean_attribute_60, TMP_Html5Converter_encode_quotes_61, TMP_Html5Converter_read_svg_contents_63, $writer = nil;\n\n      def.xml_mode = def.void_element_slash = def.stylesheets = def.xrefstyle = nil;\n      \n      \n      $writer = [[\"\", \"\", false]];\n      $send(Opal.const_set($nesting[0], 'QUOTE_TAGS', $hash2([\"monospaced\", \"emphasis\", \"strong\", \"double\", \"single\", \"mark\", \"superscript\", \"subscript\", \"asciimath\", \"latexmath\"], {\"monospaced\": [\"<code>\", \"</code>\", true], \"emphasis\": [\"<em>\", \"</em>\", true], \"strong\": [\"<strong>\", \"</strong>\", true], \"double\": [\"&#8220;\", \"&#8221;\", false], \"single\": [\"&#8216;\", \"&#8217;\", false], \"mark\": [\"<mark>\", \"</mark>\", true], \"superscript\": [\"<sup>\", \"</sup>\", true], \"subscript\": [\"<sub>\", \"</sub>\", true], \"asciimath\": [\"\\\\$\", \"\\\\$\", false], \"latexmath\": [\"\\\\(\", \"\\\\)\", false]})), 'default=', Opal.to_a($writer));\n      $writer[$rb_minus($writer[\"length\"], 1)];;\n      Opal.const_set($nesting[0], 'SvgPreambleRx', /^.*?(?=<svg\\b)/m);\n      Opal.const_set($nesting[0], 'SvgStartTagRx', /^<svg[^>]*>/);\n      Opal.const_set($nesting[0], 'DimensionAttributeRx', /\\s(?:width|height|style)=([\"'])[^\\n]*?\\1/);\n      \n      Opal.def(self, '$initialize', TMP_Html5Converter_initialize_1 = function $$initialize(backend, opts) {\n        var self = this;\n\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        \n        self.xml_mode = opts['$[]'](\"htmlsyntax\")['$=='](\"xml\");\n        self.void_element_slash = (function() {if ($truthy(self.xml_mode)) {\n          return \"/\"\n        } else {\n          return nil\n        }; return nil; })();\n        return (self.stylesheets = $$($nesting, 'Stylesheets').$instance());\n      }, TMP_Html5Converter_initialize_1.$$arity = -2);\n      \n      Opal.def(self, '$document', TMP_Html5Converter_document_4 = function $$document(node) {\n        var $a, $b, $c, TMP_2, TMP_3, self = this, slash = nil, br = nil, asset_uri_scheme = nil, cdn_base = nil, linkcss = nil, result = nil, lang_attribute = nil, authors = nil, icon_href = nil, icon_type = nil, icon_ext = nil, webfonts = nil, iconfont_stylesheet = nil, $case = nil, highlighter = nil, pygments_style = nil, docinfo_content = nil, body_attrs = nil, sectioned = nil, details = nil, authorcount = nil, highlightjs_path = nil, prettify_path = nil, eqnums_val = nil, eqnums_opt = nil;\n\n        \n        slash = self.void_element_slash;\n        br = \"\" + \"<br\" + (slash) + \">\";\n        if ($truthy((asset_uri_scheme = node.$attr(\"asset-uri-scheme\", \"https\"))['$empty?']())) {\n        } else {\n          asset_uri_scheme = \"\" + (asset_uri_scheme) + \":\"\n        };\n        cdn_base = \"\" + (asset_uri_scheme) + \"//cdnjs.cloudflare.com/ajax/libs\";\n        linkcss = ($truthy($a = $rb_ge(node.$safe(), $$$($$($nesting, 'SafeMode'), 'SECURE'))) ? $a : node['$attr?'](\"linkcss\"));\n        result = [\"<!DOCTYPE html>\"];\n        lang_attribute = (function() {if ($truthy(node['$attr?'](\"nolang\"))) {\n          return nil\n        } else {\n          return \"\" + \" lang=\\\"\" + (node.$attr(\"lang\", \"en\")) + \"\\\"\"\n        }; return nil; })();\n        result['$<<'](\"\" + \"<html\" + ((function() {if ($truthy(self.xml_mode)) {\n          return \" xmlns=\\\"http://www.w3.org/1999/xhtml\\\"\"\n        } else {\n          return nil\n        }; return nil; })()) + (lang_attribute) + \">\");\n        result['$<<'](\"\" + \"<head>\\n\" + \"<meta charset=\\\"\" + (node.$attr(\"encoding\", \"UTF-8\")) + \"\\\"\" + (slash) + \">\\n\" + \"<!--[if IE]><meta http-equiv=\\\"X-UA-Compatible\\\" content=\\\"IE=edge\\\"\" + (slash) + \"><![endif]-->\\n\" + \"<meta name=\\\"viewport\\\" content=\\\"width=device-width, initial-scale=1.0\\\"\" + (slash) + \">\\n\" + \"<meta name=\\\"generator\\\" content=\\\"Asciidoctor \" + (node.$attr(\"asciidoctor-version\")) + \"\\\"\" + (slash) + \">\");\n        if ($truthy(node['$attr?'](\"app-name\"))) {\n          result['$<<'](\"\" + \"<meta name=\\\"application-name\\\" content=\\\"\" + (node.$attr(\"app-name\")) + \"\\\"\" + (slash) + \">\")};\n        if ($truthy(node['$attr?'](\"description\"))) {\n          result['$<<'](\"\" + \"<meta name=\\\"description\\\" content=\\\"\" + (node.$attr(\"description\")) + \"\\\"\" + (slash) + \">\")};\n        if ($truthy(node['$attr?'](\"keywords\"))) {\n          result['$<<'](\"\" + \"<meta name=\\\"keywords\\\" content=\\\"\" + (node.$attr(\"keywords\")) + \"\\\"\" + (slash) + \">\")};\n        if ($truthy(node['$attr?'](\"authors\"))) {\n          result['$<<'](\"\" + \"<meta name=\\\"author\\\" content=\\\"\" + ((function() {if ($truthy((authors = node.$attr(\"authors\"))['$include?'](\"<\"))) {\n            \n            return authors.$gsub($$($nesting, 'XmlSanitizeRx'), \"\");\n          } else {\n            return authors\n          }; return nil; })()) + \"\\\"\" + (slash) + \">\")};\n        if ($truthy(node['$attr?'](\"copyright\"))) {\n          result['$<<'](\"\" + \"<meta name=\\\"copyright\\\" content=\\\"\" + (node.$attr(\"copyright\")) + \"\\\"\" + (slash) + \">\")};\n        if ($truthy(node['$attr?'](\"favicon\"))) {\n          \n          if ($truthy((icon_href = node.$attr(\"favicon\"))['$empty?']())) {\n            $a = [\"favicon.ico\", \"image/x-icon\"], (icon_href = $a[0]), (icon_type = $a[1]), $a\n          } else {\n            icon_type = (function() {if ((icon_ext = $$$('::', 'File').$extname(icon_href))['$=='](\".ico\")) {\n              return \"image/x-icon\"\n            } else {\n              return \"\" + \"image/\" + (icon_ext['$[]']($range(1, -1, false)))\n            }; return nil; })()\n          };\n          result['$<<'](\"\" + \"<link rel=\\\"shortcut icon\\\" type=\\\"\" + (icon_type) + \"\\\" href=\\\"\" + (icon_href) + \"\\\">\");};\n        result['$<<'](\"\" + \"<title>\" + (node.$doctitle($hash2([\"sanitize\", \"use_fallback\"], {\"sanitize\": true, \"use_fallback\": true}))) + \"</title>\");\n        if ($truthy($$($nesting, 'DEFAULT_STYLESHEET_KEYS')['$include?'](node.$attr(\"stylesheet\")))) {\n          \n          if ($truthy((webfonts = node.$attr(\"webfonts\")))) {\n            result['$<<'](\"\" + \"<link rel=\\\"stylesheet\\\" href=\\\"\" + (asset_uri_scheme) + \"//fonts.googleapis.com/css?family=\" + ((function() {if ($truthy(webfonts['$empty?']())) {\n              return \"Open+Sans:300,300italic,400,400italic,600,600italic%7CNoto+Serif:400,400italic,700,700italic%7CDroid+Sans+Mono:400,700\"\n            } else {\n              return webfonts\n            }; return nil; })()) + \"\\\"\" + (slash) + \">\")};\n          if ($truthy(linkcss)) {\n            result['$<<'](\"\" + \"<link rel=\\\"stylesheet\\\" href=\\\"\" + (node.$normalize_web_path($$($nesting, 'DEFAULT_STYLESHEET_NAME'), node.$attr(\"stylesdir\", \"\"), false)) + \"\\\"\" + (slash) + \">\")\n          } else {\n            result['$<<'](self.stylesheets.$embed_primary_stylesheet())\n          };\n        } else if ($truthy(node['$attr?'](\"stylesheet\"))) {\n          if ($truthy(linkcss)) {\n            result['$<<'](\"\" + \"<link rel=\\\"stylesheet\\\" href=\\\"\" + (node.$normalize_web_path(node.$attr(\"stylesheet\"), node.$attr(\"stylesdir\", \"\"))) + \"\\\"\" + (slash) + \">\")\n          } else {\n            result['$<<'](\"\" + \"<style>\\n\" + (node.$read_asset(node.$normalize_system_path(node.$attr(\"stylesheet\"), node.$attr(\"stylesdir\", \"\")), $hash2([\"warn_on_failure\", \"label\"], {\"warn_on_failure\": true, \"label\": \"stylesheet\"}))) + \"\\n\" + \"</style>\")\n          }};\n        if ($truthy(node['$attr?'](\"icons\", \"font\"))) {\n          if ($truthy(node['$attr?'](\"iconfont-remote\"))) {\n            result['$<<'](\"\" + \"<link rel=\\\"stylesheet\\\" href=\\\"\" + (node.$attr(\"iconfont-cdn\", \"\" + (cdn_base) + \"/font-awesome/4.6.3/css/font-awesome.min.css\")) + \"\\\"\" + (slash) + \">\")\n          } else {\n            \n            iconfont_stylesheet = \"\" + (node.$attr(\"iconfont-name\", \"font-awesome\")) + \".css\";\n            result['$<<'](\"\" + \"<link rel=\\\"stylesheet\\\" href=\\\"\" + (node.$normalize_web_path(iconfont_stylesheet, node.$attr(\"stylesdir\", \"\"), false)) + \"\\\"\" + (slash) + \">\");\n          }};\n        $case = (highlighter = node.$attr(\"source-highlighter\"));\n        if (\"coderay\"['$===']($case)) {if (node.$attr(\"coderay-css\", \"class\")['$=='](\"class\")) {\n          if ($truthy(linkcss)) {\n            result['$<<'](\"\" + \"<link rel=\\\"stylesheet\\\" href=\\\"\" + (node.$normalize_web_path(self.stylesheets.$coderay_stylesheet_name(), node.$attr(\"stylesdir\", \"\"), false)) + \"\\\"\" + (slash) + \">\")\n          } else {\n            result['$<<'](self.stylesheets.$embed_coderay_stylesheet())\n          }}}\n        else if (\"pygments\"['$===']($case)) {if (node.$attr(\"pygments-css\", \"class\")['$=='](\"class\")) {\n          \n          pygments_style = node.$attr(\"pygments-style\");\n          if ($truthy(linkcss)) {\n            result['$<<'](\"\" + \"<link rel=\\\"stylesheet\\\" href=\\\"\" + (node.$normalize_web_path(self.stylesheets.$pygments_stylesheet_name(pygments_style), node.$attr(\"stylesdir\", \"\"), false)) + \"\\\"\" + (slash) + \">\")\n          } else {\n            result['$<<'](self.stylesheets.$embed_pygments_stylesheet(pygments_style))\n          };}};\n        if ($truthy((docinfo_content = node.$docinfo())['$empty?']())) {\n        } else {\n          result['$<<'](docinfo_content)\n        };\n        result['$<<'](\"</head>\");\n        body_attrs = [];\n        if ($truthy(node.$id())) {\n          body_attrs['$<<'](\"\" + \"id=\\\"\" + (node.$id()) + \"\\\"\")};\n        if ($truthy(($truthy($a = ($truthy($b = ($truthy($c = (sectioned = node['$sections?']())) ? node['$attr?'](\"toc-class\") : $c)) ? node['$attr?'](\"toc\") : $b)) ? node['$attr?'](\"toc-placement\", \"auto\") : $a))) {\n          body_attrs['$<<'](\"\" + \"class=\\\"\" + (node.$doctype()) + \" \" + (node.$attr(\"toc-class\")) + \" toc-\" + (node.$attr(\"toc-position\", \"header\")) + \"\\\"\")\n        } else {\n          body_attrs['$<<'](\"\" + \"class=\\\"\" + (node.$doctype()) + \"\\\"\")\n        };\n        if ($truthy(node['$attr?'](\"max-width\"))) {\n          body_attrs['$<<'](\"\" + \"style=\\\"max-width: \" + (node.$attr(\"max-width\")) + \";\\\"\")};\n        result['$<<'](\"\" + \"<body \" + ($rb_times(body_attrs, \" \")) + \">\");\n        if ($truthy(node.$noheader())) {\n        } else {\n          \n          result['$<<'](\"<div id=\\\"header\\\">\");\n          if (node.$doctype()['$=='](\"manpage\")) {\n            \n            result['$<<'](\"\" + \"<h1>\" + (node.$doctitle()) + \" Manual Page</h1>\");\n            if ($truthy(($truthy($a = ($truthy($b = sectioned) ? node['$attr?'](\"toc\") : $b)) ? node['$attr?'](\"toc-placement\", \"auto\") : $a))) {\n              result['$<<'](\"\" + \"<div id=\\\"toc\\\" class=\\\"\" + (node.$attr(\"toc-class\", \"toc\")) + \"\\\">\\n\" + \"<div id=\\\"toctitle\\\">\" + (node.$attr(\"toc-title\")) + \"</div>\\n\" + (self.$outline(node)) + \"\\n\" + \"</div>\")};\n            result['$<<'](\"\" + \"<h2>\" + (node.$attr(\"manname-title\")) + \"</h2>\\n\" + \"<div class=\\\"sectionbody\\\">\\n\" + \"<p>\" + (node.$attr(\"manname\")) + \" - \" + (node.$attr(\"manpurpose\")) + \"</p>\\n\" + \"</div>\");\n          } else {\n            \n            if ($truthy(node['$has_header?']())) {\n              \n              if ($truthy(node.$notitle())) {\n              } else {\n                result['$<<'](\"\" + \"<h1>\" + (node.$header().$title()) + \"</h1>\")\n              };\n              details = [];\n              if ($truthy(node['$attr?'](\"author\"))) {\n                \n                details['$<<'](\"\" + \"<span id=\\\"author\\\" class=\\\"author\\\">\" + (node.$attr(\"author\")) + \"</span>\" + (br));\n                if ($truthy(node['$attr?'](\"email\"))) {\n                  details['$<<'](\"\" + \"<span id=\\\"email\\\" class=\\\"email\\\">\" + (node.$sub_macros(node.$attr(\"email\"))) + \"</span>\" + (br))};\n                if ($truthy($rb_gt((authorcount = node.$attr(\"authorcount\").$to_i()), 1))) {\n                  $send(Opal.Range.$new(2, authorcount, false), 'each', [], (TMP_2 = function(idx){var self = TMP_2.$$s || this;\nif (idx == null) idx = nil;\n                  \n                    details['$<<'](\"\" + \"<span id=\\\"author\" + (idx) + \"\\\" class=\\\"author\\\">\" + (node.$attr(\"\" + \"author_\" + (idx))) + \"</span>\" + (br));\n                    if ($truthy(node['$attr?'](\"\" + \"email_\" + (idx)))) {\n                      return details['$<<'](\"\" + \"<span id=\\\"email\" + (idx) + \"\\\" class=\\\"email\\\">\" + (node.$sub_macros(node.$attr(\"\" + \"email_\" + (idx)))) + \"</span>\" + (br))\n                    } else {\n                      return nil\n                    };}, TMP_2.$$s = self, TMP_2.$$arity = 1, TMP_2))};};\n              if ($truthy(node['$attr?'](\"revnumber\"))) {\n                details['$<<'](\"\" + \"<span id=\\\"revnumber\\\">\" + (($truthy($a = node.$attr(\"version-label\")) ? $a : \"\").$downcase()) + \" \" + (node.$attr(\"revnumber\")) + ((function() {if ($truthy(node['$attr?'](\"revdate\"))) {\n                  return \",\"\n                } else {\n                  return \"\"\n                }; return nil; })()) + \"</span>\")};\n              if ($truthy(node['$attr?'](\"revdate\"))) {\n                details['$<<'](\"\" + \"<span id=\\\"revdate\\\">\" + (node.$attr(\"revdate\")) + \"</span>\")};\n              if ($truthy(node['$attr?'](\"revremark\"))) {\n                details['$<<'](\"\" + (br) + \"<span id=\\\"revremark\\\">\" + (node.$attr(\"revremark\")) + \"</span>\")};\n              if ($truthy(details['$empty?']())) {\n              } else {\n                \n                result['$<<'](\"<div class=\\\"details\\\">\");\n                result.$concat(details);\n                result['$<<'](\"</div>\");\n              };};\n            if ($truthy(($truthy($a = ($truthy($b = sectioned) ? node['$attr?'](\"toc\") : $b)) ? node['$attr?'](\"toc-placement\", \"auto\") : $a))) {\n              result['$<<'](\"\" + \"<div id=\\\"toc\\\" class=\\\"\" + (node.$attr(\"toc-class\", \"toc\")) + \"\\\">\\n\" + \"<div id=\\\"toctitle\\\">\" + (node.$attr(\"toc-title\")) + \"</div>\\n\" + (self.$outline(node)) + \"\\n\" + \"</div>\")};\n          };\n          result['$<<'](\"</div>\");\n        };\n        result['$<<'](\"\" + \"<div id=\\\"content\\\">\\n\" + (node.$content()) + \"\\n\" + \"</div>\");\n        if ($truthy(($truthy($a = node['$footnotes?']()) ? node['$attr?'](\"nofootnotes\")['$!']() : $a))) {\n          \n          result['$<<'](\"\" + \"<div id=\\\"footnotes\\\">\\n\" + \"<hr\" + (slash) + \">\");\n          $send(node.$footnotes(), 'each', [], (TMP_3 = function(footnote){var self = TMP_3.$$s || this;\nif (footnote == null) footnote = nil;\n          return result['$<<'](\"\" + \"<div class=\\\"footnote\\\" id=\\\"_footnote_\" + (footnote.$index()) + \"\\\">\\n\" + \"<a href=\\\"#_footnoteref_\" + (footnote.$index()) + \"\\\">\" + (footnote.$index()) + \"</a>. \" + (footnote.$text()) + \"\\n\" + \"</div>\")}, TMP_3.$$s = self, TMP_3.$$arity = 1, TMP_3));\n          result['$<<'](\"</div>\");};\n        if ($truthy(node.$nofooter())) {\n        } else {\n          \n          result['$<<'](\"<div id=\\\"footer\\\">\");\n          result['$<<'](\"<div id=\\\"footer-text\\\">\");\n          if ($truthy(node['$attr?'](\"revnumber\"))) {\n            result['$<<'](\"\" + (node.$attr(\"version-label\")) + \" \" + (node.$attr(\"revnumber\")) + (br))};\n          if ($truthy(($truthy($a = node['$attr?'](\"last-update-label\")) ? node['$attr?'](\"reproducible\")['$!']() : $a))) {\n            result['$<<'](\"\" + (node.$attr(\"last-update-label\")) + \" \" + (node.$attr(\"docdatetime\")))};\n          result['$<<'](\"</div>\");\n          result['$<<'](\"</div>\");\n        };\n        if ($truthy((docinfo_content = node.$docinfo(\"footer\"))['$empty?']())) {\n        } else {\n          result['$<<'](docinfo_content)\n        };\n        $case = highlighter;\n        if (\"highlightjs\"['$===']($case) || \"highlight.js\"['$===']($case)) {\n        highlightjs_path = node.$attr(\"highlightjsdir\", \"\" + (cdn_base) + \"/highlight.js/9.12.0\");\n        result['$<<'](\"\" + \"<link rel=\\\"stylesheet\\\" href=\\\"\" + (highlightjs_path) + \"/styles/\" + (node.$attr(\"highlightjs-theme\", \"github\")) + \".min.css\\\"\" + (slash) + \">\");\n        result['$<<'](\"\" + \"<script src=\\\"\" + (highlightjs_path) + \"/highlight.min.js\\\"></script>\\n\" + \"<script>hljs.initHighlighting()</script>\");}\n        else if (\"prettify\"['$===']($case)) {\n        prettify_path = node.$attr(\"prettifydir\", \"\" + (cdn_base) + \"/prettify/r298\");\n        result['$<<'](\"\" + \"<link rel=\\\"stylesheet\\\" href=\\\"\" + (prettify_path) + \"/\" + (node.$attr(\"prettify-theme\", \"prettify\")) + \".min.css\\\"\" + (slash) + \">\");\n        result['$<<'](\"\" + \"<script src=\\\"\" + (prettify_path) + \"/prettify.min.js\\\"></script>\\n\" + \"<script>prettyPrint()</script>\");};\n        if ($truthy(node['$attr?'](\"stem\"))) {\n          \n          eqnums_val = node.$attr(\"eqnums\", \"none\");\n          if ($truthy(eqnums_val['$empty?']())) {\n            eqnums_val = \"AMS\"};\n          eqnums_opt = \"\" + \" equationNumbers: { autoNumber: \\\"\" + (eqnums_val) + \"\\\" } \";\n          result['$<<'](\"\" + \"<script type=\\\"text/x-mathjax-config\\\">\\n\" + \"MathJax.Hub.Config({\\n\" + \"  messageStyle: \\\"none\\\",\\n\" + \"  tex2jax: {\\n\" + \"    inlineMath: [\" + ($$($nesting, 'INLINE_MATH_DELIMITERS')['$[]'](\"latexmath\").$inspect()) + \"],\\n\" + \"    displayMath: [\" + ($$($nesting, 'BLOCK_MATH_DELIMITERS')['$[]'](\"latexmath\").$inspect()) + \"],\\n\" + \"    ignoreClass: \\\"nostem|nolatexmath\\\"\\n\" + \"  },\\n\" + \"  asciimath2jax: {\\n\" + \"    delimiters: [\" + ($$($nesting, 'BLOCK_MATH_DELIMITERS')['$[]'](\"asciimath\").$inspect()) + \"],\\n\" + \"    ignoreClass: \\\"nostem|noasciimath\\\"\\n\" + \"  },\\n\" + \"  TeX: {\" + (eqnums_opt) + \"}\\n\" + \"});\\n\" + \"</script>\\n\" + \"<script src=\\\"\" + (cdn_base) + \"/mathjax/2.6.0/MathJax.js?config=TeX-MML-AM_HTMLorMML\\\"></script>\");};\n        result['$<<'](\"</body>\");\n        result['$<<'](\"</html>\");\n        return $rb_times(result, $$($nesting, 'LF'));\n      }, TMP_Html5Converter_document_4.$$arity = 1);\n      \n      Opal.def(self, '$embedded', TMP_Html5Converter_embedded_6 = function $$embedded(node) {\n        var $a, $b, $c, TMP_5, self = this, result = nil, id_attr = nil, toc_p = nil;\n\n        \n        result = [];\n        if (node.$doctype()['$=='](\"manpage\")) {\n          \n          if ($truthy(node.$notitle())) {\n          } else {\n            \n            id_attr = (function() {if ($truthy(node.$id())) {\n              return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n            } else {\n              return nil\n            }; return nil; })();\n            result['$<<'](\"\" + \"<h1\" + (id_attr) + \">\" + (node.$doctitle()) + \" Manual Page</h1>\");\n          };\n          result['$<<'](\"\" + \"<h2>\" + (node.$attr(\"manname-title\")) + \"</h2>\\n\" + \"<div class=\\\"sectionbody\\\">\\n\" + \"<p>\" + (node.$attr(\"manname\")) + \" - \" + (node.$attr(\"manpurpose\")) + \"</p>\\n\" + \"</div>\");\n        } else if ($truthy(($truthy($a = node['$has_header?']()) ? node.$notitle()['$!']() : $a))) {\n          \n          id_attr = (function() {if ($truthy(node.$id())) {\n            return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n          } else {\n            return nil\n          }; return nil; })();\n          result['$<<'](\"\" + \"<h1\" + (id_attr) + \">\" + (node.$header().$title()) + \"</h1>\");};\n        if ($truthy(($truthy($a = ($truthy($b = ($truthy($c = node['$sections?']()) ? node['$attr?'](\"toc\") : $c)) ? (toc_p = node.$attr(\"toc-placement\"))['$!='](\"macro\") : $b)) ? toc_p['$!='](\"preamble\") : $a))) {\n          result['$<<'](\"\" + \"<div id=\\\"toc\\\" class=\\\"toc\\\">\\n\" + \"<div id=\\\"toctitle\\\">\" + (node.$attr(\"toc-title\")) + \"</div>\\n\" + (self.$outline(node)) + \"\\n\" + \"</div>\")};\n        result['$<<'](node.$content());\n        if ($truthy(($truthy($a = node['$footnotes?']()) ? node['$attr?'](\"nofootnotes\")['$!']() : $a))) {\n          \n          result['$<<'](\"\" + \"<div id=\\\"footnotes\\\">\\n\" + \"<hr\" + (self.void_element_slash) + \">\");\n          $send(node.$footnotes(), 'each', [], (TMP_5 = function(footnote){var self = TMP_5.$$s || this;\nif (footnote == null) footnote = nil;\n          return result['$<<'](\"\" + \"<div class=\\\"footnote\\\" id=\\\"_footnote_\" + (footnote.$index()) + \"\\\">\\n\" + \"<a href=\\\"#_footnoteref_\" + (footnote.$index()) + \"\\\">\" + (footnote.$index()) + \"</a>. \" + (footnote.$text()) + \"\\n\" + \"</div>\")}, TMP_5.$$s = self, TMP_5.$$arity = 1, TMP_5));\n          result['$<<'](\"</div>\");};\n        return $rb_times(result, $$($nesting, 'LF'));\n      }, TMP_Html5Converter_embedded_6.$$arity = 1);\n      \n      Opal.def(self, '$outline', TMP_Html5Converter_outline_8 = function $$outline(node, opts) {\n        var $a, TMP_7, self = this, sectnumlevels = nil, toclevels = nil, sections = nil, result = nil;\n\n        if (opts == null) {\n          opts = $hash2([], {});\n        }\n        \n        if ($truthy(node['$sections?']())) {\n        } else {\n          return nil\n        };\n        sectnumlevels = ($truthy($a = opts['$[]'](\"sectnumlevels\")) ? $a : node.$document().$attr(\"sectnumlevels\", 3).$to_i());\n        toclevels = ($truthy($a = opts['$[]'](\"toclevels\")) ? $a : node.$document().$attr(\"toclevels\", 2).$to_i());\n        sections = node.$sections();\n        result = [\"\" + \"<ul class=\\\"sectlevel\" + (sections['$[]'](0).$level()) + \"\\\">\"];\n        $send(sections, 'each', [], (TMP_7 = function(section){var self = TMP_7.$$s || this, $b, slevel = nil, stitle = nil, child_toc_level = nil;\nif (section == null) section = nil;\n        \n          slevel = section.$level();\n          if ($truthy(section.$caption())) {\n            stitle = section.$captioned_title()\n          } else if ($truthy(($truthy($b = section.$numbered()) ? $rb_le(slevel, sectnumlevels) : $b))) {\n            stitle = \"\" + (section.$sectnum()) + \" \" + (section.$title())\n          } else {\n            stitle = section.$title()\n          };\n          if ($truthy(($truthy($b = $rb_lt(slevel, toclevels)) ? (child_toc_level = self.$outline(section, $hash2([\"toclevels\", \"secnumlevels\"], {\"toclevels\": toclevels, \"secnumlevels\": sectnumlevels}))) : $b))) {\n            \n            result['$<<'](\"\" + \"<li><a href=\\\"#\" + (section.$id()) + \"\\\">\" + (stitle) + \"</a>\");\n            result['$<<'](child_toc_level);\n            return result['$<<'](\"</li>\");\n          } else {\n            return result['$<<'](\"\" + \"<li><a href=\\\"#\" + (section.$id()) + \"\\\">\" + (stitle) + \"</a></li>\")\n          };}, TMP_7.$$s = self, TMP_7.$$arity = 1, TMP_7));\n        result['$<<'](\"</ul>\");\n        return $rb_times(result, $$($nesting, 'LF'));\n      }, TMP_Html5Converter_outline_8.$$arity = -2);\n      \n      Opal.def(self, '$section', TMP_Html5Converter_section_9 = function $$section(node) {\n        var $a, $b, self = this, slevel = nil, htag = nil, id_attr = nil, anchor = nil, link_start = nil, link_end = nil, id = nil, doc = nil, class_attr = nil, role = nil, sectnum = nil;\n\n        \n        slevel = node.$level();\n        htag = \"\" + \"h\" + ($rb_plus(slevel, 1));\n        id_attr = (anchor = (link_start = (link_end = nil)));\n        if ($truthy(node.$id())) {\n          \n          id_attr = \"\" + \" id=\\\"\" + ((id = node.$id())) + \"\\\"\";\n          if ($truthy((doc = node.$document())['$attr?'](\"sectanchors\"))) {\n            anchor = \"\" + \"<a class=\\\"anchor\\\" href=\\\"#\" + (id) + \"\\\"></a>\"};\n          if ($truthy(doc['$attr?'](\"sectlinks\"))) {\n            \n            link_start = \"\" + \"<a class=\\\"link\\\" href=\\\"#\" + (id) + \"\\\">\";\n            link_end = \"</a>\";};};\n        if (slevel['$=='](0)) {\n          return \"\" + \"<h1\" + (id_attr) + \" class=\\\"sect0\\\">\" + (anchor) + (link_start) + (node.$title()) + (link_end) + \"</h1>\\n\" + (node.$content())\n        } else {\n          \n          class_attr = (function() {if ($truthy((role = node.$role()))) {\n            return \"\" + \" class=\\\"sect\" + (slevel) + \" \" + (role) + \"\\\"\"\n          } else {\n            return \"\" + \" class=\\\"sect\" + (slevel) + \"\\\"\"\n          }; return nil; })();\n          sectnum = (function() {if ($truthy(($truthy($a = ($truthy($b = node.$numbered()) ? node.$caption()['$!']() : $b)) ? $rb_le(slevel, node.$document().$attr(\"sectnumlevels\", 3).$to_i()) : $a))) {\n            return \"\" + (node.$sectnum()) + \" \"\n          } else {\n            return nil\n          }; return nil; })();\n          return \"\" + \"<div\" + (class_attr) + \">\\n\" + \"<\" + (htag) + (id_attr) + \">\" + (anchor) + (link_start) + (sectnum) + (node.$captioned_title()) + (link_end) + \"</\" + (htag) + \">\\n\" + ((function() {if (slevel['$=='](1)) {\n            return \"\" + \"<div class=\\\"sectionbody\\\">\\n\" + (node.$content()) + \"\\n</div>\"\n          } else {\n            return node.$content()\n          }; return nil; })()) + \"\\n\" + \"</div>\";\n        };\n      }, TMP_Html5Converter_section_9.$$arity = 1);\n      \n      Opal.def(self, '$admonition', TMP_Html5Converter_admonition_10 = function $$admonition(node) {\n        var $a, self = this, id_attr = nil, name = nil, title_element = nil, label = nil, role = nil;\n\n        \n        id_attr = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        name = node.$attr(\"name\");\n        title_element = (function() {if ($truthy(node['$title?']())) {\n          return \"\" + \"<div class=\\\"title\\\">\" + (node.$title()) + \"</div>\\n\"\n        } else {\n          return nil\n        }; return nil; })();\n        if ($truthy(node.$document()['$attr?'](\"icons\"))) {\n          if ($truthy(($truthy($a = node.$document()['$attr?'](\"icons\", \"font\")) ? node['$attr?'](\"icon\")['$!']() : $a))) {\n            label = \"\" + \"<i class=\\\"fa icon-\" + (name) + \"\\\" title=\\\"\" + (node.$attr(\"textlabel\")) + \"\\\"></i>\"\n          } else {\n            label = \"\" + \"<img src=\\\"\" + (node.$icon_uri(name)) + \"\\\" alt=\\\"\" + (node.$attr(\"textlabel\")) + \"\\\"\" + (self.void_element_slash) + \">\"\n          }\n        } else {\n          label = \"\" + \"<div class=\\\"title\\\">\" + (node.$attr(\"textlabel\")) + \"</div>\"\n        };\n        return \"\" + \"<div\" + (id_attr) + \" class=\\\"admonitionblock \" + (name) + (($truthy($a = (role = node.$role())) ? \"\" + \" \" + (role) : $a)) + \"\\\">\\n\" + \"<table>\\n\" + \"<tr>\\n\" + \"<td class=\\\"icon\\\">\\n\" + (label) + \"\\n\" + \"</td>\\n\" + \"<td class=\\\"content\\\">\\n\" + (title_element) + (node.$content()) + \"\\n\" + \"</td>\\n\" + \"</tr>\\n\" + \"</table>\\n\" + \"</div>\";\n      }, TMP_Html5Converter_admonition_10.$$arity = 1);\n      \n      Opal.def(self, '$audio', TMP_Html5Converter_audio_11 = function $$audio(node) {\n        var $a, self = this, xml = nil, id_attribute = nil, classes = nil, class_attribute = nil, title_element = nil, start_t = nil, end_t = nil, time_anchor = nil;\n\n        \n        xml = self.xml_mode;\n        id_attribute = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        classes = [\"audioblock\", node.$role()].$compact();\n        class_attribute = \"\" + \" class=\\\"\" + ($rb_times(classes, \" \")) + \"\\\"\";\n        title_element = (function() {if ($truthy(node['$title?']())) {\n          return \"\" + \"<div class=\\\"title\\\">\" + (node.$title()) + \"</div>\\n\"\n        } else {\n          return nil\n        }; return nil; })();\n        start_t = node.$attr(\"start\", nil, false);\n        end_t = node.$attr(\"end\", nil, false);\n        time_anchor = (function() {if ($truthy(($truthy($a = start_t) ? $a : end_t))) {\n          return \"\" + \"#t=\" + (start_t) + ((function() {if ($truthy(end_t)) {\n            return \",\"\n          } else {\n            return nil\n          }; return nil; })()) + (end_t)\n        } else {\n          return nil\n        }; return nil; })();\n        return \"\" + \"<div\" + (id_attribute) + (class_attribute) + \">\\n\" + (title_element) + \"<div class=\\\"content\\\">\\n\" + \"<audio src=\\\"\" + (node.$media_uri(node.$attr(\"target\"))) + (time_anchor) + \"\\\"\" + ((function() {if ($truthy(node['$option?'](\"autoplay\"))) {\n          \n          return self.$append_boolean_attribute(\"autoplay\", xml);\n        } else {\n          return nil\n        }; return nil; })()) + ((function() {if ($truthy(node['$option?'](\"nocontrols\"))) {\n          return nil\n        } else {\n          \n          return self.$append_boolean_attribute(\"controls\", xml);\n        }; return nil; })()) + ((function() {if ($truthy(node['$option?'](\"loop\"))) {\n          \n          return self.$append_boolean_attribute(\"loop\", xml);\n        } else {\n          return nil\n        }; return nil; })()) + \">\\n\" + \"Your browser does not support the audio tag.\\n\" + \"</audio>\\n\" + \"</div>\\n\" + \"</div>\";\n      }, TMP_Html5Converter_audio_11.$$arity = 1);\n      \n      Opal.def(self, '$colist', TMP_Html5Converter_colist_14 = function $$colist(node) {\n        var $a, TMP_12, TMP_13, self = this, result = nil, id_attribute = nil, classes = nil, class_attribute = nil, font_icons = nil, num = nil;\n\n        \n        result = [];\n        id_attribute = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        classes = [\"colist\", node.$style(), node.$role()].$compact();\n        class_attribute = \"\" + \" class=\\\"\" + ($rb_times(classes, \" \")) + \"\\\"\";\n        result['$<<'](\"\" + \"<div\" + (id_attribute) + (class_attribute) + \">\");\n        if ($truthy(node['$title?']())) {\n          result['$<<'](\"\" + \"<div class=\\\"title\\\">\" + (node.$title()) + \"</div>\")};\n        if ($truthy(node.$document()['$attr?'](\"icons\"))) {\n          \n          result['$<<'](\"<table>\");\n          $a = [node.$document()['$attr?'](\"icons\", \"font\"), 0], (font_icons = $a[0]), (num = $a[1]), $a;\n          $send(node.$items(), 'each', [], (TMP_12 = function(item){var self = TMP_12.$$s || this, num_label = nil;\n            if (self.void_element_slash == null) self.void_element_slash = nil;\nif (item == null) item = nil;\n          \n            num = $rb_plus(num, 1);\n            if ($truthy(font_icons)) {\n              num_label = \"\" + \"<i class=\\\"conum\\\" data-value=\\\"\" + (num) + \"\\\"></i><b>\" + (num) + \"</b>\"\n            } else {\n              num_label = \"\" + \"<img src=\\\"\" + (node.$icon_uri(\"\" + \"callouts/\" + (num))) + \"\\\" alt=\\\"\" + (num) + \"\\\"\" + (self.void_element_slash) + \">\"\n            };\n            return result['$<<'](\"\" + \"<tr>\\n\" + \"<td>\" + (num_label) + \"</td>\\n\" + \"<td>\" + (item.$text()) + ((function() {if ($truthy(item['$blocks?']())) {\n              return $rb_plus($$($nesting, 'LF'), item.$content())\n            } else {\n              return \"\"\n            }; return nil; })()) + \"</td>\\n\" + \"</tr>\");}, TMP_12.$$s = self, TMP_12.$$arity = 1, TMP_12));\n          result['$<<'](\"</table>\");\n        } else {\n          \n          result['$<<'](\"<ol>\");\n          $send(node.$items(), 'each', [], (TMP_13 = function(item){var self = TMP_13.$$s || this;\nif (item == null) item = nil;\n          return result['$<<'](\"\" + \"<li>\\n\" + \"<p>\" + (item.$text()) + \"</p>\" + ((function() {if ($truthy(item['$blocks?']())) {\n              return $rb_plus($$($nesting, 'LF'), item.$content())\n            } else {\n              return \"\"\n            }; return nil; })()) + \"\\n\" + \"</li>\")}, TMP_13.$$s = self, TMP_13.$$arity = 1, TMP_13));\n          result['$<<'](\"</ol>\");\n        };\n        result['$<<'](\"</div>\");\n        return $rb_times(result, $$($nesting, 'LF'));\n      }, TMP_Html5Converter_colist_14.$$arity = 1);\n      \n      Opal.def(self, '$dlist', TMP_Html5Converter_dlist_21 = function $$dlist(node) {\n        var TMP_15, $a, TMP_17, TMP_19, self = this, result = nil, id_attribute = nil, classes = nil, $case = nil, class_attribute = nil, slash = nil, col_style_attribute = nil, dt_style_attribute = nil;\n\n        \n        result = [];\n        id_attribute = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        classes = (function() {$case = node.$style();\n        if (\"qanda\"['$===']($case)) {return [\"qlist\", \"qanda\", node.$role()]}\n        else if (\"horizontal\"['$===']($case)) {return [\"hdlist\", node.$role()]}\n        else {return [\"dlist\", node.$style(), node.$role()]}})().$compact();\n        class_attribute = \"\" + \" class=\\\"\" + ($rb_times(classes, \" \")) + \"\\\"\";\n        result['$<<'](\"\" + \"<div\" + (id_attribute) + (class_attribute) + \">\");\n        if ($truthy(node['$title?']())) {\n          result['$<<'](\"\" + \"<div class=\\\"title\\\">\" + (node.$title()) + \"</div>\")};\n        $case = node.$style();\n        if (\"qanda\"['$===']($case)) {\n        result['$<<'](\"<ol>\");\n        $send(node.$items(), 'each', [], (TMP_15 = function(terms, dd){var self = TMP_15.$$s || this, TMP_16;\nif (terms == null) terms = nil;if (dd == null) dd = nil;\n        \n          result['$<<'](\"<li>\");\n          $send([].concat(Opal.to_a(terms)), 'each', [], (TMP_16 = function(dt){var self = TMP_16.$$s || this;\nif (dt == null) dt = nil;\n          return result['$<<'](\"\" + \"<p><em>\" + (dt.$text()) + \"</em></p>\")}, TMP_16.$$s = self, TMP_16.$$arity = 1, TMP_16));\n          if ($truthy(dd)) {\n            \n            if ($truthy(dd['$text?']())) {\n              result['$<<'](\"\" + \"<p>\" + (dd.$text()) + \"</p>\")};\n            if ($truthy(dd['$blocks?']())) {\n              result['$<<'](dd.$content())};};\n          return result['$<<'](\"</li>\");}, TMP_15.$$s = self, TMP_15.$$arity = 2, TMP_15));\n        result['$<<'](\"</ol>\");}\n        else if (\"horizontal\"['$===']($case)) {\n        slash = self.void_element_slash;\n        result['$<<'](\"<table>\");\n        if ($truthy(($truthy($a = node['$attr?'](\"labelwidth\")) ? $a : node['$attr?'](\"itemwidth\")))) {\n          \n          result['$<<'](\"<colgroup>\");\n          col_style_attribute = (function() {if ($truthy(node['$attr?'](\"labelwidth\"))) {\n            return \"\" + \" style=\\\"width: \" + (node.$attr(\"labelwidth\").$chomp(\"%\")) + \"%;\\\"\"\n          } else {\n            return nil\n          }; return nil; })();\n          result['$<<'](\"\" + \"<col\" + (col_style_attribute) + (slash) + \">\");\n          col_style_attribute = (function() {if ($truthy(node['$attr?'](\"itemwidth\"))) {\n            return \"\" + \" style=\\\"width: \" + (node.$attr(\"itemwidth\").$chomp(\"%\")) + \"%;\\\"\"\n          } else {\n            return nil\n          }; return nil; })();\n          result['$<<'](\"\" + \"<col\" + (col_style_attribute) + (slash) + \">\");\n          result['$<<'](\"</colgroup>\");};\n        $send(node.$items(), 'each', [], (TMP_17 = function(terms, dd){var self = TMP_17.$$s || this, TMP_18, terms_array = nil, last_term = nil;\nif (terms == null) terms = nil;if (dd == null) dd = nil;\n        \n          result['$<<'](\"<tr>\");\n          result['$<<'](\"\" + \"<td class=\\\"hdlist1\" + ((function() {if ($truthy(node['$option?'](\"strong\"))) {\n            return \" strong\"\n          } else {\n            return nil\n          }; return nil; })()) + \"\\\">\");\n          terms_array = [].concat(Opal.to_a(terms));\n          last_term = terms_array['$[]'](-1);\n          $send(terms_array, 'each', [], (TMP_18 = function(dt){var self = TMP_18.$$s || this;\nif (dt == null) dt = nil;\n          \n            result['$<<'](dt.$text());\n            if ($truthy(dt['$!='](last_term))) {\n              return result['$<<'](\"\" + \"<br\" + (slash) + \">\")\n            } else {\n              return nil\n            };}, TMP_18.$$s = self, TMP_18.$$arity = 1, TMP_18));\n          result['$<<'](\"</td>\");\n          result['$<<'](\"<td class=\\\"hdlist2\\\">\");\n          if ($truthy(dd)) {\n            \n            if ($truthy(dd['$text?']())) {\n              result['$<<'](\"\" + \"<p>\" + (dd.$text()) + \"</p>\")};\n            if ($truthy(dd['$blocks?']())) {\n              result['$<<'](dd.$content())};};\n          result['$<<'](\"</td>\");\n          return result['$<<'](\"</tr>\");}, TMP_17.$$s = self, TMP_17.$$arity = 2, TMP_17));\n        result['$<<'](\"</table>\");}\n        else {\n        result['$<<'](\"<dl>\");\n        dt_style_attribute = (function() {if ($truthy(node.$style())) {\n          return nil\n        } else {\n          return \" class=\\\"hdlist1\\\"\"\n        }; return nil; })();\n        $send(node.$items(), 'each', [], (TMP_19 = function(terms, dd){var self = TMP_19.$$s || this, TMP_20;\nif (terms == null) terms = nil;if (dd == null) dd = nil;\n        \n          $send([].concat(Opal.to_a(terms)), 'each', [], (TMP_20 = function(dt){var self = TMP_20.$$s || this;\nif (dt == null) dt = nil;\n          return result['$<<'](\"\" + \"<dt\" + (dt_style_attribute) + \">\" + (dt.$text()) + \"</dt>\")}, TMP_20.$$s = self, TMP_20.$$arity = 1, TMP_20));\n          if ($truthy(dd)) {\n            \n            result['$<<'](\"<dd>\");\n            if ($truthy(dd['$text?']())) {\n              result['$<<'](\"\" + \"<p>\" + (dd.$text()) + \"</p>\")};\n            if ($truthy(dd['$blocks?']())) {\n              result['$<<'](dd.$content())};\n            return result['$<<'](\"</dd>\");\n          } else {\n            return nil\n          };}, TMP_19.$$s = self, TMP_19.$$arity = 2, TMP_19));\n        result['$<<'](\"</dl>\");};\n        result['$<<'](\"</div>\");\n        return $rb_times(result, $$($nesting, 'LF'));\n      }, TMP_Html5Converter_dlist_21.$$arity = 1);\n      \n      Opal.def(self, '$example', TMP_Html5Converter_example_22 = function $$example(node) {\n        var $a, self = this, id_attribute = nil, title_element = nil, role = nil;\n\n        \n        id_attribute = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        title_element = (function() {if ($truthy(node['$title?']())) {\n          return \"\" + \"<div class=\\\"title\\\">\" + (node.$captioned_title()) + \"</div>\\n\"\n        } else {\n          return nil\n        }; return nil; })();\n        return \"\" + \"<div\" + (id_attribute) + \" class=\\\"exampleblock\" + (($truthy($a = (role = node.$role())) ? \"\" + \" \" + (role) : $a)) + \"\\\">\\n\" + (title_element) + \"<div class=\\\"content\\\">\\n\" + (node.$content()) + \"\\n\" + \"</div>\\n\" + \"</div>\";\n      }, TMP_Html5Converter_example_22.$$arity = 1);\n      \n      Opal.def(self, '$floating_title', TMP_Html5Converter_floating_title_23 = function $$floating_title(node) {\n        var self = this, tag_name = nil, id_attribute = nil, classes = nil;\n\n        \n        tag_name = \"\" + \"h\" + ($rb_plus(node.$level(), 1));\n        id_attribute = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        classes = [node.$style(), node.$role()].$compact();\n        return \"\" + \"<\" + (tag_name) + (id_attribute) + \" class=\\\"\" + ($rb_times(classes, \" \")) + \"\\\">\" + (node.$title()) + \"</\" + (tag_name) + \">\";\n      }, TMP_Html5Converter_floating_title_23.$$arity = 1);\n      \n      Opal.def(self, '$image', TMP_Html5Converter_image_24 = function $$image(node) {\n        var $a, $b, $c, self = this, target = nil, width_attr = nil, height_attr = nil, svg = nil, obj = nil, img = nil, fallback = nil, window_attr = nil, window = nil, id_attr = nil, classes = nil, class_attr = nil, styles = nil, style_attr = nil, title_el = nil;\n\n        \n        target = node.$attr(\"target\");\n        width_attr = (function() {if ($truthy(node['$attr?'](\"width\"))) {\n          return \"\" + \" width=\\\"\" + (node.$attr(\"width\")) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        height_attr = (function() {if ($truthy(node['$attr?'](\"height\"))) {\n          return \"\" + \" height=\\\"\" + (node.$attr(\"height\")) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        if ($truthy(($truthy($a = ($truthy($b = ($truthy($c = node['$attr?'](\"format\", \"svg\", false)) ? $c : target['$include?'](\".svg\"))) ? $rb_lt(node.$document().$safe(), $$$($$($nesting, 'SafeMode'), 'SECURE')) : $b)) ? ($truthy($b = (svg = node['$option?'](\"inline\"))) ? $b : (obj = node['$option?'](\"interactive\"))) : $a))) {\n          if ($truthy(svg)) {\n            img = ($truthy($a = self.$read_svg_contents(node, target)) ? $a : \"\" + \"<span class=\\\"alt\\\">\" + (node.$alt()) + \"</span>\")\n          } else if ($truthy(obj)) {\n            \n            fallback = (function() {if ($truthy(node['$attr?'](\"fallback\"))) {\n              return \"\" + \"<img src=\\\"\" + (node.$image_uri(node.$attr(\"fallback\"))) + \"\\\" alt=\\\"\" + (self.$encode_quotes(node.$alt())) + \"\\\"\" + (width_attr) + (height_attr) + (self.void_element_slash) + \">\"\n            } else {\n              return \"\" + \"<span class=\\\"alt\\\">\" + (node.$alt()) + \"</span>\"\n            }; return nil; })();\n            img = \"\" + \"<object type=\\\"image/svg+xml\\\" data=\\\"\" + (node.$image_uri(target)) + \"\\\"\" + (width_attr) + (height_attr) + \">\" + (fallback) + \"</object>\";}};\n        img = ($truthy($a = img) ? $a : \"\" + \"<img src=\\\"\" + (node.$image_uri(target)) + \"\\\" alt=\\\"\" + (self.$encode_quotes(node.$alt())) + \"\\\"\" + (width_attr) + (height_attr) + (self.void_element_slash) + \">\");\n        if ($truthy(node['$attr?'](\"link\"))) {\n          \n          if ($truthy(node['$attr?'](\"window\"))) {\n            window_attr = \"\" + \" target=\\\"\" + ((window = node.$attr(\"window\"))) + \"\\\"\" + ((function() {if ($truthy(($truthy($a = window['$=='](\"_blank\")) ? $a : node['$option?'](\"noopener\")))) {\n              return \" rel=\\\"noopener\\\"\"\n            } else {\n              return \"\"\n            }; return nil; })())};\n          img = \"\" + \"<a class=\\\"image\\\" href=\\\"\" + (node.$attr(\"link\")) + \"\\\"\" + (window_attr) + \">\" + (img) + \"</a>\";};\n        id_attr = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        classes = [\"imageblock\", node.$role()].$compact();\n        class_attr = \"\" + \" class=\\\"\" + ($rb_times(classes, \" \")) + \"\\\"\";\n        styles = [];\n        if ($truthy(node['$attr?'](\"align\"))) {\n          styles['$<<'](\"\" + \"text-align: \" + (node.$attr(\"align\")))};\n        if ($truthy(node['$attr?'](\"float\"))) {\n          styles['$<<'](\"\" + \"float: \" + (node.$attr(\"float\")))};\n        style_attr = (function() {if ($truthy(styles['$empty?']())) {\n          return nil\n        } else {\n          return \"\" + \" style=\\\"\" + ($rb_times(styles, \";\")) + \"\\\"\"\n        }; return nil; })();\n        title_el = (function() {if ($truthy(node['$title?']())) {\n          return \"\" + \"\\n<div class=\\\"title\\\">\" + (node.$captioned_title()) + \"</div>\"\n        } else {\n          return nil\n        }; return nil; })();\n        return \"\" + \"<div\" + (id_attr) + (class_attr) + (style_attr) + \">\\n\" + \"<div class=\\\"content\\\">\\n\" + (img) + \"\\n\" + \"</div>\" + (title_el) + \"\\n\" + \"</div>\";\n      }, TMP_Html5Converter_image_24.$$arity = 1);\n      \n      Opal.def(self, '$listing', TMP_Html5Converter_listing_25 = function $$listing(node) {\n        var $a, self = this, nowrap = nil, language = nil, code_attrs = nil, $case = nil, pre_class = nil, pre_start = nil, pre_end = nil, id_attribute = nil, title_element = nil, role = nil;\n\n        \n        nowrap = ($truthy($a = node.$document()['$attr?'](\"prewrap\")['$!']()) ? $a : node['$option?'](\"nowrap\"));\n        if (node.$style()['$=='](\"source\")) {\n          \n          if ($truthy((language = node.$attr(\"language\", nil, false)))) {\n            code_attrs = \"\" + \" data-lang=\\\"\" + (language) + \"\\\"\"\n          } else {\n            code_attrs = nil\n          };\n          $case = node.$document().$attr(\"source-highlighter\");\n          if (\"coderay\"['$===']($case)) {pre_class = \"\" + \" class=\\\"CodeRay highlight\" + ((function() {if ($truthy(nowrap)) {\n            return \" nowrap\"\n          } else {\n            return nil\n          }; return nil; })()) + \"\\\"\"}\n          else if (\"pygments\"['$===']($case)) {pre_class = \"\" + \" class=\\\"pygments highlight\" + ((function() {if ($truthy(nowrap)) {\n            return \" nowrap\"\n          } else {\n            return nil\n          }; return nil; })()) + \"\\\"\"}\n          else if (\"highlightjs\"['$===']($case) || \"highlight.js\"['$===']($case)) {\n          pre_class = \"\" + \" class=\\\"highlightjs highlight\" + ((function() {if ($truthy(nowrap)) {\n            return \" nowrap\"\n          } else {\n            return nil\n          }; return nil; })()) + \"\\\"\";\n          if ($truthy(language)) {\n            code_attrs = \"\" + \" class=\\\"language-\" + (language) + \" hljs\\\"\" + (code_attrs)};}\n          else if (\"prettify\"['$===']($case)) {\n          pre_class = \"\" + \" class=\\\"prettyprint highlight\" + ((function() {if ($truthy(nowrap)) {\n            return \" nowrap\"\n          } else {\n            return nil\n          }; return nil; })()) + ((function() {if ($truthy(node['$attr?'](\"linenums\", nil, false))) {\n            return \" linenums\"\n          } else {\n            return nil\n          }; return nil; })()) + \"\\\"\";\n          if ($truthy(language)) {\n            code_attrs = \"\" + \" class=\\\"language-\" + (language) + \"\\\"\" + (code_attrs)};}\n          else if (\"html-pipeline\"['$===']($case)) {\n          pre_class = (function() {if ($truthy(language)) {\n            return \"\" + \" lang=\\\"\" + (language) + \"\\\"\"\n          } else {\n            return nil\n          }; return nil; })();\n          code_attrs = nil;}\n          else {\n          pre_class = \"\" + \" class=\\\"highlight\" + ((function() {if ($truthy(nowrap)) {\n            return \" nowrap\"\n          } else {\n            return nil\n          }; return nil; })()) + \"\\\"\";\n          if ($truthy(language)) {\n            code_attrs = \"\" + \" class=\\\"language-\" + (language) + \"\\\"\" + (code_attrs)};};\n          pre_start = \"\" + \"<pre\" + (pre_class) + \"><code\" + (code_attrs) + \">\";\n          pre_end = \"</code></pre>\";\n        } else {\n          \n          pre_start = \"\" + \"<pre\" + ((function() {if ($truthy(nowrap)) {\n            return \" class=\\\"nowrap\\\"\"\n          } else {\n            return nil\n          }; return nil; })()) + \">\";\n          pre_end = \"</pre>\";\n        };\n        id_attribute = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        title_element = (function() {if ($truthy(node['$title?']())) {\n          return \"\" + \"<div class=\\\"title\\\">\" + (node.$captioned_title()) + \"</div>\\n\"\n        } else {\n          return nil\n        }; return nil; })();\n        return \"\" + \"<div\" + (id_attribute) + \" class=\\\"listingblock\" + (($truthy($a = (role = node.$role())) ? \"\" + \" \" + (role) : $a)) + \"\\\">\\n\" + (title_element) + \"<div class=\\\"content\\\">\\n\" + (pre_start) + (node.$content()) + (pre_end) + \"\\n\" + \"</div>\\n\" + \"</div>\";\n      }, TMP_Html5Converter_listing_25.$$arity = 1);\n      \n      Opal.def(self, '$literal', TMP_Html5Converter_literal_26 = function $$literal(node) {\n        var $a, self = this, id_attribute = nil, title_element = nil, nowrap = nil, role = nil;\n\n        \n        id_attribute = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        title_element = (function() {if ($truthy(node['$title?']())) {\n          return \"\" + \"<div class=\\\"title\\\">\" + (node.$title()) + \"</div>\\n\"\n        } else {\n          return nil\n        }; return nil; })();\n        nowrap = ($truthy($a = node.$document()['$attr?'](\"prewrap\")['$!']()) ? $a : node['$option?'](\"nowrap\"));\n        return \"\" + \"<div\" + (id_attribute) + \" class=\\\"literalblock\" + (($truthy($a = (role = node.$role())) ? \"\" + \" \" + (role) : $a)) + \"\\\">\\n\" + (title_element) + \"<div class=\\\"content\\\">\\n\" + \"<pre\" + ((function() {if ($truthy(nowrap)) {\n          return \" class=\\\"nowrap\\\"\"\n        } else {\n          return nil\n        }; return nil; })()) + \">\" + (node.$content()) + \"</pre>\\n\" + \"</div>\\n\" + \"</div>\";\n      }, TMP_Html5Converter_literal_26.$$arity = 1);\n      \n      Opal.def(self, '$stem', TMP_Html5Converter_stem_27 = function $$stem(node) {\n        var $a, $b, self = this, id_attribute = nil, title_element = nil, open = nil, close = nil, equation = nil, role = nil;\n\n        \n        id_attribute = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        title_element = (function() {if ($truthy(node['$title?']())) {\n          return \"\" + \"<div class=\\\"title\\\">\" + (node.$title()) + \"</div>\\n\"\n        } else {\n          return nil\n        }; return nil; })();\n        $b = $$($nesting, 'BLOCK_MATH_DELIMITERS')['$[]'](node.$style().$to_sym()), $a = Opal.to_ary($b), (open = ($a[0] == null ? nil : $a[0])), (close = ($a[1] == null ? nil : $a[1])), $b;\n        if ($truthy(($truthy($a = (equation = node.$content())['$start_with?'](open)) ? equation['$end_with?'](close) : $a))) {\n        } else {\n          equation = \"\" + (open) + (equation) + (close)\n        };\n        return \"\" + \"<div\" + (id_attribute) + \" class=\\\"stemblock\" + (($truthy($a = (role = node.$role())) ? \"\" + \" \" + (role) : $a)) + \"\\\">\\n\" + (title_element) + \"<div class=\\\"content\\\">\\n\" + (equation) + \"\\n\" + \"</div>\\n\" + \"</div>\";\n      }, TMP_Html5Converter_stem_27.$$arity = 1);\n      \n      Opal.def(self, '$olist', TMP_Html5Converter_olist_29 = function $$olist(node) {\n        var TMP_28, self = this, result = nil, id_attribute = nil, classes = nil, class_attribute = nil, type_attribute = nil, keyword = nil, start_attribute = nil, reversed_attribute = nil;\n\n        \n        result = [];\n        id_attribute = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        classes = [\"olist\", node.$style(), node.$role()].$compact();\n        class_attribute = \"\" + \" class=\\\"\" + ($rb_times(classes, \" \")) + \"\\\"\";\n        result['$<<'](\"\" + \"<div\" + (id_attribute) + (class_attribute) + \">\");\n        if ($truthy(node['$title?']())) {\n          result['$<<'](\"\" + \"<div class=\\\"title\\\">\" + (node.$title()) + \"</div>\")};\n        type_attribute = (function() {if ($truthy((keyword = node.$list_marker_keyword()))) {\n          return \"\" + \" type=\\\"\" + (keyword) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        start_attribute = (function() {if ($truthy(node['$attr?'](\"start\"))) {\n          return \"\" + \" start=\\\"\" + (node.$attr(\"start\")) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        reversed_attribute = (function() {if ($truthy(node['$option?'](\"reversed\"))) {\n          \n          return self.$append_boolean_attribute(\"reversed\", self.xml_mode);\n        } else {\n          return nil\n        }; return nil; })();\n        result['$<<'](\"\" + \"<ol class=\\\"\" + (node.$style()) + \"\\\"\" + (type_attribute) + (start_attribute) + (reversed_attribute) + \">\");\n        $send(node.$items(), 'each', [], (TMP_28 = function(item){var self = TMP_28.$$s || this;\nif (item == null) item = nil;\n        \n          result['$<<'](\"<li>\");\n          result['$<<'](\"\" + \"<p>\" + (item.$text()) + \"</p>\");\n          if ($truthy(item['$blocks?']())) {\n            result['$<<'](item.$content())};\n          return result['$<<'](\"</li>\");}, TMP_28.$$s = self, TMP_28.$$arity = 1, TMP_28));\n        result['$<<'](\"</ol>\");\n        result['$<<'](\"</div>\");\n        return $rb_times(result, $$($nesting, 'LF'));\n      }, TMP_Html5Converter_olist_29.$$arity = 1);\n      \n      Opal.def(self, '$open', TMP_Html5Converter_open_30 = function $$open(node) {\n        var $a, $b, $c, self = this, style = nil, id_attr = nil, title_el = nil, role = nil;\n\n        if ((style = node.$style())['$=='](\"abstract\")) {\n          if ($truthy((($a = node.$parent()['$=='](node.$document())) ? node.$document().$doctype()['$=='](\"book\") : node.$parent()['$=='](node.$document())))) {\n            \n            self.$warn(\"asciidoctor: WARNING: abstract block cannot be used in a document without a title when doctype is book. Excluding block content.\");\n            return \"\";\n          } else {\n            \n            id_attr = (function() {if ($truthy(node.$id())) {\n              return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n            } else {\n              return nil\n            }; return nil; })();\n            title_el = (function() {if ($truthy(node['$title?']())) {\n              return \"\" + \"<div class=\\\"title\\\">\" + (node.$title()) + \"</div>\\n\"\n            } else {\n              return nil\n            }; return nil; })();\n            return \"\" + \"<div\" + (id_attr) + \" class=\\\"quoteblock abstract\" + (($truthy($a = (role = node.$role())) ? \"\" + \" \" + (role) : $a)) + \"\\\">\\n\" + (title_el) + \"<blockquote>\\n\" + (node.$content()) + \"\\n\" + \"</blockquote>\\n\" + \"</div>\";\n          }\n        } else if ($truthy((($a = style['$=='](\"partintro\")) ? ($truthy($b = ($truthy($c = $rb_gt(node.$level(), 0)) ? $c : node.$parent().$context()['$!='](\"section\"))) ? $b : node.$document().$doctype()['$!='](\"book\")) : style['$=='](\"partintro\")))) {\n          \n          self.$warn(\"asciidoctor: ERROR: partintro block can only be used when doctype is book and it's a child of a book part. Excluding block content.\");\n          return \"\";\n        } else {\n          \n          id_attr = (function() {if ($truthy(node.$id())) {\n            return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n          } else {\n            return nil\n          }; return nil; })();\n          title_el = (function() {if ($truthy(node['$title?']())) {\n            return \"\" + \"<div class=\\\"title\\\">\" + (node.$title()) + \"</div>\\n\"\n          } else {\n            return nil\n          }; return nil; })();\n          return \"\" + \"<div\" + (id_attr) + \" class=\\\"openblock\" + ((function() {if ($truthy(($truthy($a = style) ? style['$!='](\"open\") : $a))) {\n            return \"\" + \" \" + (style)\n          } else {\n            return \"\"\n          }; return nil; })()) + (($truthy($a = (role = node.$role())) ? \"\" + \" \" + (role) : $a)) + \"\\\">\\n\" + (title_el) + \"<div class=\\\"content\\\">\\n\" + (node.$content()) + \"\\n\" + \"</div>\\n\" + \"</div>\";\n        }\n      }, TMP_Html5Converter_open_30.$$arity = 1);\n      \n      Opal.def(self, '$page_break', TMP_Html5Converter_page_break_31 = function $$page_break(node) {\n        var self = this;\n\n        return \"<div style=\\\"page-break-after: always;\\\"></div>\"\n      }, TMP_Html5Converter_page_break_31.$$arity = 1);\n      \n      Opal.def(self, '$paragraph', TMP_Html5Converter_paragraph_32 = function $$paragraph(node) {\n        var self = this, class_attribute = nil, attributes = nil;\n\n        \n        class_attribute = (function() {if ($truthy(node.$role())) {\n          return \"\" + \"class=\\\"paragraph \" + (node.$role()) + \"\\\"\"\n        } else {\n          return \"class=\\\"paragraph\\\"\"\n        }; return nil; })();\n        attributes = (function() {if ($truthy(node.$id())) {\n          return \"\" + \"id=\\\"\" + (node.$id()) + \"\\\" \" + (class_attribute)\n        } else {\n          return class_attribute\n        }; return nil; })();\n        if ($truthy(node['$title?']())) {\n          return \"\" + \"<div \" + (attributes) + \">\\n\" + \"<div class=\\\"title\\\">\" + (node.$title()) + \"</div>\\n\" + \"<p>\" + (node.$content()) + \"</p>\\n\" + \"</div>\"\n        } else {\n          return \"\" + \"<div \" + (attributes) + \">\\n\" + \"<p>\" + (node.$content()) + \"</p>\\n\" + \"</div>\"\n        };\n      }, TMP_Html5Converter_paragraph_32.$$arity = 1);\n      \n      Opal.def(self, '$preamble', TMP_Html5Converter_preamble_33 = function $$preamble(node) {\n        var $a, $b, self = this, doc = nil, toc = nil;\n\n        \n        if ($truthy(($truthy($a = ($truthy($b = (doc = node.$document())['$attr?'](\"toc-placement\", \"preamble\")) ? doc['$sections?']() : $b)) ? doc['$attr?'](\"toc\") : $a))) {\n          toc = \"\" + \"\\n\" + \"<div id=\\\"toc\\\" class=\\\"\" + (doc.$attr(\"toc-class\", \"toc\")) + \"\\\">\\n\" + \"<div id=\\\"toctitle\\\">\" + (doc.$attr(\"toc-title\")) + \"</div>\\n\" + (self.$outline(doc)) + \"\\n\" + \"</div>\"\n        } else {\n          toc = nil\n        };\n        return \"\" + \"<div id=\\\"preamble\\\">\\n\" + \"<div class=\\\"sectionbody\\\">\\n\" + (node.$content()) + \"\\n\" + \"</div>\" + (toc) + \"\\n\" + \"</div>\";\n      }, TMP_Html5Converter_preamble_33.$$arity = 1);\n      \n      Opal.def(self, '$quote', TMP_Html5Converter_quote_34 = function $$quote(node) {\n        var $a, self = this, id_attribute = nil, classes = nil, class_attribute = nil, title_element = nil, attribution = nil, citetitle = nil, cite_element = nil, attribution_text = nil, attribution_element = nil;\n\n        \n        id_attribute = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        classes = [\"quoteblock\", node.$role()].$compact();\n        class_attribute = \"\" + \" class=\\\"\" + ($rb_times(classes, \" \")) + \"\\\"\";\n        title_element = (function() {if ($truthy(node['$title?']())) {\n          return \"\" + \"\\n<div class=\\\"title\\\">\" + (node.$title()) + \"</div>\"\n        } else {\n          return nil\n        }; return nil; })();\n        attribution = (function() {if ($truthy(node['$attr?'](\"attribution\"))) {\n          \n          return node.$attr(\"attribution\");\n        } else {\n          return nil\n        }; return nil; })();\n        citetitle = (function() {if ($truthy(node['$attr?'](\"citetitle\"))) {\n          \n          return node.$attr(\"citetitle\");\n        } else {\n          return nil\n        }; return nil; })();\n        if ($truthy(($truthy($a = attribution) ? $a : citetitle))) {\n          \n          cite_element = (function() {if ($truthy(citetitle)) {\n            return \"\" + \"<cite>\" + (citetitle) + \"</cite>\"\n          } else {\n            return nil\n          }; return nil; })();\n          attribution_text = (function() {if ($truthy(attribution)) {\n            return \"\" + \"&#8212; \" + (attribution) + ((function() {if ($truthy(citetitle)) {\n              return \"\" + \"<br\" + (self.void_element_slash) + \">\\n\"\n            } else {\n              return nil\n            }; return nil; })())\n          } else {\n            return nil\n          }; return nil; })();\n          attribution_element = \"\" + \"\\n<div class=\\\"attribution\\\">\\n\" + (attribution_text) + (cite_element) + \"\\n</div>\";\n        } else {\n          attribution_element = nil\n        };\n        return \"\" + \"<div\" + (id_attribute) + (class_attribute) + \">\" + (title_element) + \"\\n\" + \"<blockquote>\\n\" + (node.$content()) + \"\\n\" + \"</blockquote>\" + (attribution_element) + \"\\n\" + \"</div>\";\n      }, TMP_Html5Converter_quote_34.$$arity = 1);\n      \n      Opal.def(self, '$thematic_break', TMP_Html5Converter_thematic_break_35 = function $$thematic_break(node) {\n        var self = this;\n\n        return \"\" + \"<hr\" + (self.void_element_slash) + \">\"\n      }, TMP_Html5Converter_thematic_break_35.$$arity = 1);\n      \n      Opal.def(self, '$sidebar', TMP_Html5Converter_sidebar_36 = function $$sidebar(node) {\n        var $a, self = this, id_attribute = nil, title_element = nil, role = nil;\n\n        \n        id_attribute = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        title_element = (function() {if ($truthy(node['$title?']())) {\n          return \"\" + \"<div class=\\\"title\\\">\" + (node.$title()) + \"</div>\\n\"\n        } else {\n          return nil\n        }; return nil; })();\n        return \"\" + \"<div\" + (id_attribute) + \" class=\\\"sidebarblock\" + (($truthy($a = (role = node.$role())) ? \"\" + \" \" + (role) : $a)) + \"\\\">\\n\" + \"<div class=\\\"content\\\">\\n\" + (title_element) + (node.$content()) + \"\\n\" + \"</div>\\n\" + \"</div>\";\n      }, TMP_Html5Converter_sidebar_36.$$arity = 1);\n      \n      Opal.def(self, '$table', TMP_Html5Converter_table_42 = function $$table(node) {\n        var $a, TMP_37, TMP_38, TMP_39, self = this, result = nil, id_attribute = nil, classes = nil, styles = nil, role = nil, class_attribute = nil, style_attribute = nil, slash = nil, tag = nil;\n\n        \n        result = [];\n        id_attribute = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        classes = [\"tableblock\", \"\" + \"frame-\" + (node.$attr(\"frame\", \"all\")), \"\" + \"grid-\" + (node.$attr(\"grid\", \"all\"))];\n        styles = [];\n        if ($truthy(($truthy($a = node['$option?'](\"autowidth\")) ? node['$attr?'](\"width\", nil, false)['$!']() : $a))) {\n        } else if ($truthy(node['$attr?'](\"tablepcwidth\", 100))) {\n          classes['$<<'](\"spread\")\n        } else {\n          styles['$<<'](\"\" + \"width: \" + (node.$attr(\"tablepcwidth\")) + \"%;\")\n        };\n        if ($truthy((role = node.$role()))) {\n          classes['$<<'](role)};\n        class_attribute = \"\" + \" class=\\\"\" + ($rb_times(classes, \" \")) + \"\\\"\";\n        if ($truthy(node['$attr?'](\"float\"))) {\n          styles['$<<'](\"\" + \"float: \" + (node.$attr(\"float\")) + \";\")};\n        style_attribute = (function() {if ($truthy(styles['$empty?']())) {\n          return nil\n        } else {\n          return \"\" + \" style=\\\"\" + ($rb_times(styles, \" \")) + \"\\\"\"\n        }; return nil; })();\n        result['$<<'](\"\" + \"<table\" + (id_attribute) + (class_attribute) + (style_attribute) + \">\");\n        if ($truthy(node['$title?']())) {\n          result['$<<'](\"\" + \"<caption class=\\\"title\\\">\" + (node.$captioned_title()) + \"</caption>\")};\n        if ($truthy($rb_gt(node.$attr(\"rowcount\"), 0))) {\n          \n          slash = self.void_element_slash;\n          result['$<<'](\"<colgroup>\");\n          if ($truthy(node['$option?'](\"autowidth\"))) {\n            \n            tag = \"\" + \"<col\" + (slash) + \">\";\n            $send(node.$columns().$size(), 'times', [], (TMP_37 = function(){var self = TMP_37.$$s || this;\n\n            return result['$<<'](tag)}, TMP_37.$$s = self, TMP_37.$$arity = 0, TMP_37));\n          } else {\n            $send(node.$columns(), 'each', [], (TMP_38 = function(col){var self = TMP_38.$$s || this;\nif (col == null) col = nil;\n            return result['$<<'](\"\" + \"<col style=\\\"width: \" + (col.$attr(\"colpcwidth\")) + \"%;\\\"\" + (slash) + \">\")}, TMP_38.$$s = self, TMP_38.$$arity = 1, TMP_38))\n          };\n          result['$<<'](\"</colgroup>\");\n          $send(node.$rows().$by_section(), 'each', [], (TMP_39 = function(tsec, rows){var self = TMP_39.$$s || this, TMP_40;\nif (tsec == null) tsec = nil;if (rows == null) rows = nil;\n          \n            if ($truthy(rows['$empty?']())) {\n              return nil;};\n            result['$<<'](\"\" + \"<t\" + (tsec) + \">\");\n            $send(rows, 'each', [], (TMP_40 = function(row){var self = TMP_40.$$s || this, TMP_41;\nif (row == null) row = nil;\n            \n              result['$<<'](\"<tr>\");\n              $send(row, 'each', [], (TMP_41 = function(cell){var self = TMP_41.$$s || this, $b, cell_content = nil, $case = nil, cell_tag_name = nil, cell_class_attribute = nil, cell_colspan_attribute = nil, cell_rowspan_attribute = nil, cell_style_attribute = nil;\nif (cell == null) cell = nil;\n              \n                if (tsec['$=='](\"head\")) {\n                  cell_content = cell.$text()\n                } else {\n                  $case = cell.$style();\n                  if (\"asciidoc\"['$===']($case)) {cell_content = \"\" + \"<div>\" + (cell.$content()) + \"</div>\"}\n                  else if (\"verse\"['$===']($case)) {cell_content = \"\" + \"<div class=\\\"verse\\\">\" + (cell.$text()) + \"</div>\"}\n                  else if (\"literal\"['$===']($case)) {cell_content = \"\" + \"<div class=\\\"literal\\\"><pre>\" + (cell.$text()) + \"</pre></div>\"}\n                  else {cell_content = (function() {if ($truthy((cell_content = cell.$content())['$empty?']())) {\n                    return \"\"\n                  } else {\n                    return \"\" + \"<p class=\\\"tableblock\\\">\" + ($rb_times(cell_content, \"\" + \"</p>\\n\" + \"<p class=\\\"tableblock\\\">\")) + \"</p>\"\n                  }; return nil; })()}\n                };\n                cell_tag_name = (function() {if ($truthy(($truthy($b = tsec['$=='](\"head\")) ? $b : cell.$style()['$=='](\"header\")))) {\n                  return \"th\"\n                } else {\n                  return \"td\"\n                }; return nil; })();\n                cell_class_attribute = \"\" + \" class=\\\"tableblock halign-\" + (cell.$attr(\"halign\")) + \" valign-\" + (cell.$attr(\"valign\")) + \"\\\"\";\n                cell_colspan_attribute = (function() {if ($truthy(cell.$colspan())) {\n                  return \"\" + \" colspan=\\\"\" + (cell.$colspan()) + \"\\\"\"\n                } else {\n                  return nil\n                }; return nil; })();\n                cell_rowspan_attribute = (function() {if ($truthy(cell.$rowspan())) {\n                  return \"\" + \" rowspan=\\\"\" + (cell.$rowspan()) + \"\\\"\"\n                } else {\n                  return nil\n                }; return nil; })();\n                cell_style_attribute = (function() {if ($truthy(node.$document()['$attr?'](\"cellbgcolor\"))) {\n                  return \"\" + \" style=\\\"background-color: \" + (node.$document().$attr(\"cellbgcolor\")) + \";\\\"\"\n                } else {\n                  return nil\n                }; return nil; })();\n                return result['$<<'](\"\" + \"<\" + (cell_tag_name) + (cell_class_attribute) + (cell_colspan_attribute) + (cell_rowspan_attribute) + (cell_style_attribute) + \">\" + (cell_content) + \"</\" + (cell_tag_name) + \">\");}, TMP_41.$$s = self, TMP_41.$$arity = 1, TMP_41));\n              return result['$<<'](\"</tr>\");}, TMP_40.$$s = self, TMP_40.$$arity = 1, TMP_40));\n            return result['$<<'](\"\" + \"</t\" + (tsec) + \">\");}, TMP_39.$$s = self, TMP_39.$$arity = 2, TMP_39));};\n        result['$<<'](\"</table>\");\n        return $rb_times(result, $$($nesting, 'LF'));\n      }, TMP_Html5Converter_table_42.$$arity = 1);\n      \n      Opal.def(self, '$toc', TMP_Html5Converter_toc_43 = function $$toc(node) {\n        var $a, $b, self = this, doc = nil, id_attr = nil, title_id_attr = nil, title = nil, levels = nil, role = nil;\n\n        \n        if ($truthy(($truthy($a = ($truthy($b = (doc = node.$document())['$attr?'](\"toc-placement\", \"macro\")) ? doc['$sections?']() : $b)) ? doc['$attr?'](\"toc\") : $a))) {\n        } else {\n          return \"<!-- toc disabled -->\"\n        };\n        if ($truthy(node.$id())) {\n          \n          id_attr = \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\";\n          title_id_attr = \"\" + \" id=\\\"\" + (node.$id()) + \"title\\\"\";\n        } else {\n          \n          id_attr = \" id=\\\"toc\\\"\";\n          title_id_attr = \" id=\\\"toctitle\\\"\";\n        };\n        title = (function() {if ($truthy(node['$title?']())) {\n          return node.$title()\n        } else {\n          \n          return doc.$attr(\"toc-title\");\n        }; return nil; })();\n        levels = (function() {if ($truthy(node['$attr?'](\"levels\"))) {\n          return node.$attr(\"levels\").$to_i()\n        } else {\n          return nil\n        }; return nil; })();\n        role = (function() {if ($truthy(node['$role?']())) {\n          return node.$role()\n        } else {\n          \n          return doc.$attr(\"toc-class\", \"toc\");\n        }; return nil; })();\n        return \"\" + \"<div\" + (id_attr) + \" class=\\\"\" + (role) + \"\\\">\\n\" + \"<div\" + (title_id_attr) + \" class=\\\"title\\\">\" + (title) + \"</div>\\n\" + (self.$outline(doc, $hash2([\"toclevels\"], {\"toclevels\": levels}))) + \"\\n\" + \"</div>\";\n      }, TMP_Html5Converter_toc_43.$$arity = 1);\n      \n      Opal.def(self, '$ulist', TMP_Html5Converter_ulist_45 = function $$ulist(node) {\n        var TMP_44, self = this, result = nil, id_attribute = nil, div_classes = nil, marker_checked = nil, marker_unchecked = nil, checklist = nil, ul_class_attribute = nil;\n\n        \n        result = [];\n        id_attribute = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        div_classes = [\"ulist\", node.$style(), node.$role()].$compact();\n        marker_checked = nil;\n        marker_unchecked = nil;\n        if ($truthy((checklist = node['$option?'](\"checklist\")))) {\n          \n          div_classes.$unshift(div_classes.$shift(), \"checklist\");\n          ul_class_attribute = \" class=\\\"checklist\\\"\";\n          if ($truthy(node['$option?'](\"interactive\"))) {\n            if ($truthy(self.xml_mode)) {\n              \n              marker_checked = \"<input type=\\\"checkbox\\\" data-item-complete=\\\"1\\\" checked=\\\"checked\\\"/> \";\n              marker_unchecked = \"<input type=\\\"checkbox\\\" data-item-complete=\\\"0\\\"/> \";\n            } else {\n              \n              marker_checked = \"<input type=\\\"checkbox\\\" data-item-complete=\\\"1\\\" checked> \";\n              marker_unchecked = \"<input type=\\\"checkbox\\\" data-item-complete=\\\"0\\\"> \";\n            }\n          } else if ($truthy(node.$document()['$attr?'](\"icons\", \"font\"))) {\n            \n            marker_checked = \"<i class=\\\"fa fa-check-square-o\\\"></i> \";\n            marker_unchecked = \"<i class=\\\"fa fa-square-o\\\"></i> \";\n          } else {\n            \n            marker_checked = \"&#10003; \";\n            marker_unchecked = \"&#10063; \";\n          };\n        } else {\n          ul_class_attribute = (function() {if ($truthy(node.$style())) {\n            return \"\" + \" class=\\\"\" + (node.$style()) + \"\\\"\"\n          } else {\n            return nil\n          }; return nil; })()\n        };\n        result['$<<'](\"\" + \"<div\" + (id_attribute) + \" class=\\\"\" + ($rb_times(div_classes, \" \")) + \"\\\">\");\n        if ($truthy(node['$title?']())) {\n          result['$<<'](\"\" + \"<div class=\\\"title\\\">\" + (node.$title()) + \"</div>\")};\n        result['$<<'](\"\" + \"<ul\" + (ul_class_attribute) + \">\");\n        $send(node.$items(), 'each', [], (TMP_44 = function(item){var self = TMP_44.$$s || this, $a;\nif (item == null) item = nil;\n        \n          result['$<<'](\"<li>\");\n          if ($truthy(($truthy($a = checklist) ? item['$attr?'](\"checkbox\") : $a))) {\n            result['$<<'](\"\" + \"<p>\" + ((function() {if ($truthy(item['$attr?'](\"checked\"))) {\n              return marker_checked\n            } else {\n              return marker_unchecked\n            }; return nil; })()) + (item.$text()) + \"</p>\")\n          } else {\n            result['$<<'](\"\" + \"<p>\" + (item.$text()) + \"</p>\")\n          };\n          if ($truthy(item['$blocks?']())) {\n            result['$<<'](item.$content())};\n          return result['$<<'](\"</li>\");}, TMP_44.$$s = self, TMP_44.$$arity = 1, TMP_44));\n        result['$<<'](\"</ul>\");\n        result['$<<'](\"</div>\");\n        return $rb_times(result, $$($nesting, 'LF'));\n      }, TMP_Html5Converter_ulist_45.$$arity = 1);\n      \n      Opal.def(self, '$verse', TMP_Html5Converter_verse_46 = function $$verse(node) {\n        var $a, self = this, id_attribute = nil, classes = nil, class_attribute = nil, title_element = nil, attribution = nil, citetitle = nil, cite_element = nil, attribution_text = nil, attribution_element = nil;\n\n        \n        id_attribute = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        classes = [\"verseblock\", node.$role()].$compact();\n        class_attribute = \"\" + \" class=\\\"\" + ($rb_times(classes, \" \")) + \"\\\"\";\n        title_element = (function() {if ($truthy(node['$title?']())) {\n          return \"\" + \"\\n<div class=\\\"title\\\">\" + (node.$title()) + \"</div>\"\n        } else {\n          return nil\n        }; return nil; })();\n        attribution = (function() {if ($truthy(node['$attr?'](\"attribution\"))) {\n          \n          return node.$attr(\"attribution\");\n        } else {\n          return nil\n        }; return nil; })();\n        citetitle = (function() {if ($truthy(node['$attr?'](\"citetitle\"))) {\n          \n          return node.$attr(\"citetitle\");\n        } else {\n          return nil\n        }; return nil; })();\n        if ($truthy(($truthy($a = attribution) ? $a : citetitle))) {\n          \n          cite_element = (function() {if ($truthy(citetitle)) {\n            return \"\" + \"<cite>\" + (citetitle) + \"</cite>\"\n          } else {\n            return nil\n          }; return nil; })();\n          attribution_text = (function() {if ($truthy(attribution)) {\n            return \"\" + \"&#8212; \" + (attribution) + ((function() {if ($truthy(citetitle)) {\n              return \"\" + \"<br\" + (self.void_element_slash) + \">\\n\"\n            } else {\n              return nil\n            }; return nil; })())\n          } else {\n            return nil\n          }; return nil; })();\n          attribution_element = \"\" + \"\\n<div class=\\\"attribution\\\">\\n\" + (attribution_text) + (cite_element) + \"\\n</div>\";\n        } else {\n          attribution_element = nil\n        };\n        return \"\" + \"<div\" + (id_attribute) + (class_attribute) + \">\" + (title_element) + \"\\n\" + \"<pre class=\\\"content\\\">\" + (node.$content()) + \"</pre>\" + (attribution_element) + \"\\n\" + \"</div>\";\n      }, TMP_Html5Converter_verse_46.$$arity = 1);\n      \n      Opal.def(self, '$video', TMP_Html5Converter_video_47 = function $$video(node) {\n        var $a, $b, self = this, xml = nil, id_attribute = nil, classes = nil, class_attribute = nil, title_element = nil, width_attribute = nil, height_attribute = nil, $case = nil, asset_uri_scheme = nil, start_anchor = nil, delimiter = nil, autoplay_param = nil, loop_param = nil, rel_param_val = nil, start_param = nil, end_param = nil, controls_param = nil, fs_param = nil, fs_attribute = nil, modest_param = nil, theme_param = nil, hl_param = nil, target = nil, list = nil, list_param = nil, playlist = nil, poster_attribute = nil, val = nil, preload_attribute = nil, start_t = nil, end_t = nil, time_anchor = nil;\n\n        \n        xml = self.xml_mode;\n        id_attribute = (function() {if ($truthy(node.$id())) {\n          return \"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        classes = [\"videoblock\", node.$role()].$compact();\n        class_attribute = \"\" + \" class=\\\"\" + ($rb_times(classes, \" \")) + \"\\\"\";\n        title_element = (function() {if ($truthy(node['$title?']())) {\n          return \"\" + \"\\n<div class=\\\"title\\\">\" + (node.$title()) + \"</div>\"\n        } else {\n          return nil\n        }; return nil; })();\n        width_attribute = (function() {if ($truthy(node['$attr?'](\"width\"))) {\n          return \"\" + \" width=\\\"\" + (node.$attr(\"width\")) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        height_attribute = (function() {if ($truthy(node['$attr?'](\"height\"))) {\n          return \"\" + \" height=\\\"\" + (node.$attr(\"height\")) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        return (function() {$case = node.$attr(\"poster\");\n        if (\"vimeo\"['$===']($case)) {\n        if ($truthy((asset_uri_scheme = node.$document().$attr(\"asset-uri-scheme\", \"https\"))['$empty?']())) {\n        } else {\n          asset_uri_scheme = \"\" + (asset_uri_scheme) + \":\"\n        };\n        start_anchor = (function() {if ($truthy(node['$attr?'](\"start\", nil, false))) {\n          return \"\" + \"#at=\" + (node.$attr(\"start\"))\n        } else {\n          return nil\n        }; return nil; })();\n        delimiter = \"?\";\n        autoplay_param = (function() {if ($truthy(node['$option?'](\"autoplay\"))) {\n          return \"\" + (delimiter) + \"autoplay=1\"\n        } else {\n          return nil\n        }; return nil; })();\n        if ($truthy(autoplay_param)) {\n          delimiter = \"&amp;\"};\n        loop_param = (function() {if ($truthy(node['$option?'](\"loop\"))) {\n          return \"\" + (delimiter) + \"loop=1\"\n        } else {\n          return nil\n        }; return nil; })();\n        return \"\" + \"<div\" + (id_attribute) + (class_attribute) + \">\" + (title_element) + \"\\n\" + \"<div class=\\\"content\\\">\\n\" + \"<iframe\" + (width_attribute) + (height_attribute) + \" src=\\\"\" + (asset_uri_scheme) + \"//player.vimeo.com/video/\" + (node.$attr(\"target\")) + (start_anchor) + (autoplay_param) + (loop_param) + \"\\\" frameborder=\\\"0\\\"\" + ((function() {if ($truthy(node['$option?'](\"nofullscreen\"))) {\n          return nil\n        } else {\n          \n          return self.$append_boolean_attribute(\"allowfullscreen\", xml);\n        }; return nil; })()) + \"></iframe>\\n\" + \"</div>\\n\" + \"</div>\";}\n        else if (\"youtube\"['$===']($case)) {\n        if ($truthy((asset_uri_scheme = node.$document().$attr(\"asset-uri-scheme\", \"https\"))['$empty?']())) {\n        } else {\n          asset_uri_scheme = \"\" + (asset_uri_scheme) + \":\"\n        };\n        rel_param_val = (function() {if ($truthy(node['$option?'](\"related\"))) {\n          return 1\n        } else {\n          return 0\n        }; return nil; })();\n        start_param = (function() {if ($truthy(node['$attr?'](\"start\", nil, false))) {\n          return \"\" + \"&amp;start=\" + (node.$attr(\"start\"))\n        } else {\n          return nil\n        }; return nil; })();\n        end_param = (function() {if ($truthy(node['$attr?'](\"end\", nil, false))) {\n          return \"\" + \"&amp;end=\" + (node.$attr(\"end\"))\n        } else {\n          return nil\n        }; return nil; })();\n        autoplay_param = (function() {if ($truthy(node['$option?'](\"autoplay\"))) {\n          return \"&amp;autoplay=1\"\n        } else {\n          return nil\n        }; return nil; })();\n        loop_param = (function() {if ($truthy(node['$option?'](\"loop\"))) {\n          return \"&amp;loop=1\"\n        } else {\n          return nil\n        }; return nil; })();\n        controls_param = (function() {if ($truthy(node['$option?'](\"nocontrols\"))) {\n          return \"&amp;controls=0\"\n        } else {\n          return nil\n        }; return nil; })();\n        if ($truthy(node['$option?'](\"nofullscreen\"))) {\n          \n          fs_param = \"&amp;fs=0\";\n          fs_attribute = nil;\n        } else {\n          \n          fs_param = nil;\n          fs_attribute = self.$append_boolean_attribute(\"allowfullscreen\", xml);\n        };\n        modest_param = (function() {if ($truthy(node['$option?'](\"modest\"))) {\n          return \"&amp;modestbranding=1\"\n        } else {\n          return nil\n        }; return nil; })();\n        theme_param = (function() {if ($truthy(node['$attr?'](\"theme\", nil, false))) {\n          return \"\" + \"&amp;theme=\" + (node.$attr(\"theme\"))\n        } else {\n          return nil\n        }; return nil; })();\n        hl_param = (function() {if ($truthy(node['$attr?'](\"lang\"))) {\n          return \"\" + \"&amp;hl=\" + (node.$attr(\"lang\"))\n        } else {\n          return nil\n        }; return nil; })();\n        $b = node.$attr(\"target\").$split(\"/\", 2), $a = Opal.to_ary($b), (target = ($a[0] == null ? nil : $a[0])), (list = ($a[1] == null ? nil : $a[1])), $b;\n        if ($truthy((list = ($truthy($a = list) ? $a : node.$attr(\"list\", nil, false))))) {\n          list_param = \"\" + \"&amp;list=\" + (list)\n        } else {\n          \n          $b = target.$split(\",\", 2), $a = Opal.to_ary($b), (target = ($a[0] == null ? nil : $a[0])), (playlist = ($a[1] == null ? nil : $a[1])), $b;\n          if ($truthy((playlist = ($truthy($a = playlist) ? $a : node.$attr(\"playlist\", nil, false))))) {\n            list_param = \"\" + \"&amp;playlist=\" + (playlist)\n          } else {\n            list_param = (function() {if ($truthy(loop_param)) {\n              return \"\" + \"&amp;playlist=\" + (target)\n            } else {\n              return nil\n            }; return nil; })()\n          };\n        };\n        return \"\" + \"<div\" + (id_attribute) + (class_attribute) + \">\" + (title_element) + \"\\n\" + \"<div class=\\\"content\\\">\\n\" + \"<iframe\" + (width_attribute) + (height_attribute) + \" src=\\\"\" + (asset_uri_scheme) + \"//www.youtube.com/embed/\" + (target) + \"?rel=\" + (rel_param_val) + (start_param) + (end_param) + (autoplay_param) + (loop_param) + (controls_param) + (list_param) + (fs_param) + (modest_param) + (theme_param) + (hl_param) + \"\\\" frameborder=\\\"0\\\"\" + (fs_attribute) + \"></iframe>\\n\" + \"</div>\\n\" + \"</div>\";}\n        else {\n        poster_attribute = (function() {if ($truthy((val = node.$attr(\"poster\", nil, false))['$nil_or_empty?']())) {\n          return nil\n        } else {\n          return \"\" + \" poster=\\\"\" + (node.$media_uri(val)) + \"\\\"\"\n        }; return nil; })();\n        preload_attribute = (function() {if ($truthy((val = node.$attr(\"preload\", nil, false))['$nil_or_empty?']())) {\n          return nil\n        } else {\n          return \"\" + \" preload=\\\"\" + (val) + \"\\\"\"\n        }; return nil; })();\n        start_t = node.$attr(\"start\", nil, false);\n        end_t = node.$attr(\"end\", nil, false);\n        time_anchor = (function() {if ($truthy(($truthy($a = start_t) ? $a : end_t))) {\n          return \"\" + \"#t=\" + (start_t) + ((function() {if ($truthy(end_t)) {\n            return \",\"\n          } else {\n            return nil\n          }; return nil; })()) + (end_t)\n        } else {\n          return nil\n        }; return nil; })();\n        return \"\" + \"<div\" + (id_attribute) + (class_attribute) + \">\" + (title_element) + \"\\n\" + \"<div class=\\\"content\\\">\\n\" + \"<video src=\\\"\" + (node.$media_uri(node.$attr(\"target\"))) + (time_anchor) + \"\\\"\" + (width_attribute) + (height_attribute) + (poster_attribute) + ((function() {if ($truthy(node['$option?'](\"autoplay\"))) {\n          \n          return self.$append_boolean_attribute(\"autoplay\", xml);\n        } else {\n          return nil\n        }; return nil; })()) + ((function() {if ($truthy(node['$option?'](\"nocontrols\"))) {\n          return nil\n        } else {\n          \n          return self.$append_boolean_attribute(\"controls\", xml);\n        }; return nil; })()) + ((function() {if ($truthy(node['$option?'](\"loop\"))) {\n          \n          return self.$append_boolean_attribute(\"loop\", xml);\n        } else {\n          return nil\n        }; return nil; })()) + (preload_attribute) + \">\\n\" + \"Your browser does not support the video tag.\\n\" + \"</video>\\n\" + \"</div>\\n\" + \"</div>\";}})();\n      }, TMP_Html5Converter_video_47.$$arity = 1);\n      \n      Opal.def(self, '$inline_anchor', TMP_Html5Converter_inline_anchor_48 = function $$inline_anchor(node) {\n        var $a, $b, self = this, $case = nil, text = nil, ref = nil, refid = nil, attrs = nil, role = nil, window = nil;\n\n        return (function() {$case = node.$type();\n        if (\"xref\"['$===']($case)) {\n        if ($truthy(($truthy($a = (text = node.$text())) ? $a : (text = node.$attributes()['$[]'](\"path\"))))) {\n        } else if ($truthy($$($nesting, 'AbstractNode')['$===']((ref = node.$document().$catalog()['$[]'](\"refs\")['$[]']((refid = node.$attributes()['$[]'](\"refid\"))))))) {\n          text = ($truthy($a = ref.$xreftext((self.xrefstyle = ($truthy($b = self.xrefstyle) ? $b : node.$document().$attributes()['$[]'](\"xrefstyle\"))))) ? $a : \"\" + \"[\" + (refid) + \"]\")\n        } else {\n          text = \"\" + \"[\" + (refid) + \"]\"\n        };\n        return \"\" + \"<a href=\\\"\" + (node.$target()) + \"\\\">\" + (text) + \"</a>\";}\n        else if (\"ref\"['$===']($case)) {return \"\" + \"<a id=\\\"\" + (node.$id()) + \"\\\"></a>\"}\n        else if (\"link\"['$===']($case)) {\n        attrs = (function() {if ($truthy(node.$id())) {\n          return [\"\" + \" id=\\\"\" + (node.$id()) + \"\\\"\"]\n        } else {\n          return []\n        }; return nil; })();\n        if ($truthy((role = node.$role()))) {\n          attrs['$<<'](\"\" + \" class=\\\"\" + (role) + \"\\\"\")};\n        if ($truthy(node['$attr?'](\"title\", nil, false))) {\n          attrs['$<<'](\"\" + \" title=\\\"\" + (node.$attr(\"title\")) + \"\\\"\")};\n        if ($truthy(node['$attr?'](\"window\", nil, false))) {\n          attrs['$<<'](\"\" + \" target=\\\"\" + ((window = node.$attr(\"window\"))) + \"\\\"\" + ((function() {if ($truthy(($truthy($a = window['$=='](\"_blank\")) ? $a : node['$option?'](\"noopener\")))) {\n            return \" rel=\\\"noopener\\\"\"\n          } else {\n            return \"\"\n          }; return nil; })()))};\n        return \"\" + \"<a href=\\\"\" + (node.$target()) + \"\\\"\" + (attrs.$join()) + \">\" + (node.$text()) + \"</a>\";}\n        else if (\"bibref\"['$===']($case)) {return \"\" + \"<a id=\\\"\" + (node.$id()) + \"\\\"></a>\" + (node.$text())}\n        else {return self.$warn(\"\" + \"asciidoctor: WARNING: unknown anchor type: \" + (node.$type().$inspect()))}})()\n      }, TMP_Html5Converter_inline_anchor_48.$$arity = 1);\n      \n      Opal.def(self, '$inline_break', TMP_Html5Converter_inline_break_49 = function $$inline_break(node) {\n        var self = this;\n\n        return \"\" + (node.$text()) + \"<br\" + (self.void_element_slash) + \">\"\n      }, TMP_Html5Converter_inline_break_49.$$arity = 1);\n      \n      Opal.def(self, '$inline_button', TMP_Html5Converter_inline_button_50 = function $$inline_button(node) {\n        var self = this;\n\n        return \"\" + \"<b class=\\\"button\\\">\" + (node.$text()) + \"</b>\"\n      }, TMP_Html5Converter_inline_button_50.$$arity = 1);\n      \n      Opal.def(self, '$inline_callout', TMP_Html5Converter_inline_callout_51 = function $$inline_callout(node) {\n        var self = this, src = nil;\n\n        if ($truthy(node.$document()['$attr?'](\"icons\", \"font\"))) {\n          return \"\" + \"<i class=\\\"conum\\\" data-value=\\\"\" + (node.$text()) + \"\\\"></i><b>(\" + (node.$text()) + \")</b>\"\n        } else if ($truthy(node.$document()['$attr?'](\"icons\"))) {\n          \n          src = node.$icon_uri(\"\" + \"callouts/\" + (node.$text()));\n          return \"\" + \"<img src=\\\"\" + (src) + \"\\\" alt=\\\"\" + (node.$text()) + \"\\\"\" + (self.void_element_slash) + \">\";\n        } else {\n          return \"\" + \"<b class=\\\"conum\\\">(\" + (node.$text()) + \")</b>\"\n        }\n      }, TMP_Html5Converter_inline_callout_51.$$arity = 1);\n      \n      Opal.def(self, '$inline_footnote', TMP_Html5Converter_inline_footnote_52 = function $$inline_footnote(node) {\n        var self = this, index = nil, id_attr = nil;\n\n        if ($truthy((index = node.$attr(\"index\", nil, false)))) {\n          if (node.$type()['$=='](\"xref\")) {\n            return \"\" + \"<sup class=\\\"footnoteref\\\">[<a class=\\\"footnote\\\" href=\\\"#_footnote_\" + (index) + \"\\\" title=\\\"View footnote.\\\">\" + (index) + \"</a>]</sup>\"\n          } else {\n            \n            id_attr = (function() {if ($truthy(node.$id())) {\n              return \"\" + \" id=\\\"_footnote_\" + (node.$id()) + \"\\\"\"\n            } else {\n              return nil\n            }; return nil; })();\n            return \"\" + \"<sup class=\\\"footnote\\\"\" + (id_attr) + \">[<a id=\\\"_footnoteref_\" + (index) + \"\\\" class=\\\"footnote\\\" href=\\\"#_footnote_\" + (index) + \"\\\" title=\\\"View footnote.\\\">\" + (index) + \"</a>]</sup>\";\n          }\n        } else if (node.$type()['$=='](\"xref\")) {\n          return \"\" + \"<sup class=\\\"footnoteref red\\\" title=\\\"Unresolved footnote reference.\\\">[\" + (node.$text()) + \"]</sup>\"\n        } else {\n          return nil\n        }\n      }, TMP_Html5Converter_inline_footnote_52.$$arity = 1);\n      \n      Opal.def(self, '$inline_image', TMP_Html5Converter_inline_image_55 = function $$inline_image(node) {\n        var $a, TMP_53, TMP_54, $b, $c, $d, self = this, type = nil, class_attr_val = nil, title_attr = nil, img = nil, target = nil, attrs = nil, svg = nil, obj = nil, fallback = nil, window_attr = nil, window = nil, role = nil, style_attr = nil;\n\n        \n        if ($truthy((($a = (type = node.$type())['$=='](\"icon\")) ? node.$document()['$attr?'](\"icons\", \"font\") : (type = node.$type())['$=='](\"icon\")))) {\n          \n          class_attr_val = \"\" + \"fa fa-\" + (node.$target());\n          $send($hash2([\"size\", \"rotate\", \"flip\"], {\"size\": \"fa-\", \"rotate\": \"fa-rotate-\", \"flip\": \"fa-flip-\"}), 'each', [], (TMP_53 = function(key, prefix){var self = TMP_53.$$s || this;\nif (key == null) key = nil;if (prefix == null) prefix = nil;\n          if ($truthy(node['$attr?'](key))) {\n              return (class_attr_val = \"\" + (class_attr_val) + \" \" + (prefix) + (node.$attr(key)))\n            } else {\n              return nil\n            }}, TMP_53.$$s = self, TMP_53.$$arity = 2, TMP_53));\n          title_attr = (function() {if ($truthy(node['$attr?'](\"title\"))) {\n            return \"\" + \" title=\\\"\" + (node.$attr(\"title\")) + \"\\\"\"\n          } else {\n            return nil\n          }; return nil; })();\n          img = \"\" + \"<i class=\\\"\" + (class_attr_val) + \"\\\"\" + (title_attr) + \"></i>\";\n        } else if ($truthy((($a = type['$=='](\"icon\")) ? node.$document()['$attr?'](\"icons\")['$!']() : type['$=='](\"icon\")))) {\n          img = \"\" + \"[\" + (node.$alt()) + \"]\"\n        } else {\n          \n          target = node.$target();\n          attrs = $send([\"width\", \"height\", \"title\"], 'map', [], (TMP_54 = function(name){var self = TMP_54.$$s || this;\nif (name == null) name = nil;\n          if ($truthy(node['$attr?'](name))) {\n              return \"\" + \" \" + (name) + \"=\\\"\" + (node.$attr(name)) + \"\\\"\"\n            } else {\n              return nil\n            }}, TMP_54.$$s = self, TMP_54.$$arity = 1, TMP_54)).$join();\n          if ($truthy(($truthy($a = ($truthy($b = ($truthy($c = type['$!='](\"icon\")) ? ($truthy($d = node['$attr?'](\"format\", \"svg\", false)) ? $d : target['$include?'](\".svg\")) : $c)) ? $rb_lt(node.$document().$safe(), $$$($$($nesting, 'SafeMode'), 'SECURE')) : $b)) ? ($truthy($b = (svg = node['$option?'](\"inline\"))) ? $b : (obj = node['$option?'](\"interactive\"))) : $a))) {\n            if ($truthy(svg)) {\n              img = ($truthy($a = self.$read_svg_contents(node, target)) ? $a : \"\" + \"<span class=\\\"alt\\\">\" + (node.$alt()) + \"</span>\")\n            } else if ($truthy(obj)) {\n              \n              fallback = (function() {if ($truthy(node['$attr?'](\"fallback\"))) {\n                return \"\" + \"<img src=\\\"\" + (node.$image_uri(node.$attr(\"fallback\"))) + \"\\\" alt=\\\"\" + (self.$encode_quotes(node.$alt())) + \"\\\"\" + (attrs) + (self.void_element_slash) + \">\"\n              } else {\n                return \"\" + \"<span class=\\\"alt\\\">\" + (node.$alt()) + \"</span>\"\n              }; return nil; })();\n              img = \"\" + \"<object type=\\\"image/svg+xml\\\" data=\\\"\" + (node.$image_uri(target)) + \"\\\"\" + (attrs) + \">\" + (fallback) + \"</object>\";}};\n          img = ($truthy($a = img) ? $a : \"\" + \"<img src=\\\"\" + ((function() {if (type['$=='](\"icon\")) {\n            \n            return node.$icon_uri(target);\n          } else {\n            \n            return node.$image_uri(target);\n          }; return nil; })()) + \"\\\" alt=\\\"\" + (self.$encode_quotes(node.$alt())) + \"\\\"\" + (attrs) + (self.void_element_slash) + \">\");\n        };\n        if ($truthy(node['$attr?'](\"link\"))) {\n          \n          if ($truthy(node['$attr?'](\"window\"))) {\n            window_attr = \"\" + \" target=\\\"\" + ((window = node.$attr(\"window\"))) + \"\\\"\" + ((function() {if ($truthy(($truthy($a = window['$=='](\"_blank\")) ? $a : node['$option?'](\"noopener\")))) {\n              return \" rel=\\\"noopener\\\"\"\n            } else {\n              return \"\"\n            }; return nil; })())};\n          img = \"\" + \"<a class=\\\"image\\\" href=\\\"\" + (node.$attr(\"link\")) + \"\\\"\" + (window_attr) + \">\" + (img) + \"</a>\";};\n        class_attr_val = (function() {if ($truthy((role = node.$role()))) {\n          return \"\" + (type) + \" \" + (role)\n        } else {\n          return type\n        }; return nil; })();\n        style_attr = (function() {if ($truthy(node['$attr?'](\"float\"))) {\n          return \"\" + \" style=\\\"float: \" + (node.$attr(\"float\")) + \"\\\"\"\n        } else {\n          return nil\n        }; return nil; })();\n        return \"\" + \"<span class=\\\"\" + (class_attr_val) + \"\\\"\" + (style_attr) + \">\" + (img) + \"</span>\";\n      }, TMP_Html5Converter_inline_image_55.$$arity = 1);\n      \n      Opal.def(self, '$inline_indexterm', TMP_Html5Converter_inline_indexterm_56 = function $$inline_indexterm(node) {\n        var self = this;\n\n        if (node.$type()['$=='](\"visible\")) {\n          return node.$text()\n        } else {\n          return \"\"\n        }\n      }, TMP_Html5Converter_inline_indexterm_56.$$arity = 1);\n      \n      Opal.def(self, '$inline_kbd', TMP_Html5Converter_inline_kbd_57 = function $$inline_kbd(node) {\n        var self = this, keys = nil;\n\n        if ((keys = node.$attr(\"keys\")).$size()['$=='](1)) {\n          return \"\" + \"<kbd>\" + (keys['$[]'](0)) + \"</kbd>\"\n        } else {\n          return \"\" + \"<span class=\\\"keyseq\\\"><kbd>\" + ($rb_times(keys, \"</kbd>+<kbd>\")) + \"</kbd></span>\"\n        }\n      }, TMP_Html5Converter_inline_kbd_57.$$arity = 1);\n      \n      Opal.def(self, '$inline_menu', TMP_Html5Converter_inline_menu_58 = function $$inline_menu(node) {\n        var self = this, caret = nil, submenu_joiner = nil, menu = nil, submenus = nil, menuitem = nil;\n\n        \n        caret = (function() {if ($truthy(node.$document()['$attr?'](\"icons\", \"font\"))) {\n          return \"&#160;<i class=\\\"fa fa-angle-right caret\\\"></i> \"\n        } else {\n          return \"&#160;<b class=\\\"caret\\\">&#8250;</b> \"\n        }; return nil; })();\n        submenu_joiner = \"\" + \"</b>\" + (caret) + \"<b class=\\\"submenu\\\">\";\n        menu = node.$attr(\"menu\");\n        if ($truthy((submenus = node.$attr(\"submenus\"))['$empty?']())) {\n          if ($truthy((menuitem = node.$attr(\"menuitem\", nil, false)))) {\n            return \"\" + \"<span class=\\\"menuseq\\\"><b class=\\\"menu\\\">\" + (menu) + \"</b>\" + (caret) + \"<b class=\\\"menuitem\\\">\" + (menuitem) + \"</b></span>\"\n          } else {\n            return \"\" + \"<b class=\\\"menuref\\\">\" + (menu) + \"</b>\"\n          }\n        } else {\n          return \"\" + \"<span class=\\\"menuseq\\\"><b class=\\\"menu\\\">\" + (menu) + \"</b>\" + (caret) + \"<b class=\\\"submenu\\\">\" + ($rb_times(submenus, submenu_joiner)) + \"</b>\" + (caret) + \"<b class=\\\"menuitem\\\">\" + (node.$attr(\"menuitem\")) + \"</b></span>\"\n        };\n      }, TMP_Html5Converter_inline_menu_58.$$arity = 1);\n      \n      Opal.def(self, '$inline_quoted', TMP_Html5Converter_inline_quoted_59 = function $$inline_quoted(node) {\n        var $a, $b, self = this, open = nil, close = nil, is_tag = nil, quoted_text = nil;\n\n        \n        $b = $$($nesting, 'QUOTE_TAGS')['$[]'](node.$type()), $a = Opal.to_ary($b), (open = ($a[0] == null ? nil : $a[0])), (close = ($a[1] == null ? nil : $a[1])), (is_tag = ($a[2] == null ? nil : $a[2])), $b;\n        if ($truthy(node.$role())) {\n          if ($truthy(is_tag)) {\n            quoted_text = \"\" + (open.$chop()) + \" class=\\\"\" + (node.$role()) + \"\\\">\" + (node.$text()) + (close)\n          } else {\n            quoted_text = \"\" + \"<span class=\\\"\" + (node.$role()) + \"\\\">\" + (open) + (node.$text()) + (close) + \"</span>\"\n          }\n        } else {\n          quoted_text = \"\" + (open) + (node.$text()) + (close)\n        };\n        if ($truthy(node.$id())) {\n          return \"\" + \"<a id=\\\"\" + (node.$id()) + \"\\\"></a>\" + (quoted_text)\n        } else {\n          return quoted_text\n        };\n      }, TMP_Html5Converter_inline_quoted_59.$$arity = 1);\n      \n      Opal.def(self, '$append_boolean_attribute', TMP_Html5Converter_append_boolean_attribute_60 = function $$append_boolean_attribute(name, xml) {\n        var self = this;\n\n        if ($truthy(xml)) {\n          return \"\" + \" \" + (name) + \"=\\\"\" + (name) + \"\\\"\"\n        } else {\n          return \"\" + \" \" + (name)\n        }\n      }, TMP_Html5Converter_append_boolean_attribute_60.$$arity = 2);\n      \n      Opal.def(self, '$encode_quotes', TMP_Html5Converter_encode_quotes_61 = function $$encode_quotes(val) {\n        var self = this;\n\n        if ($truthy(val['$include?'](\"\\\"\"))) {\n          \n          return val.$gsub(\"\\\"\", \"&quot;\");\n        } else {\n          return val\n        }\n      }, TMP_Html5Converter_encode_quotes_61.$$arity = 1);\n      return (Opal.def(self, '$read_svg_contents', TMP_Html5Converter_read_svg_contents_63 = function $$read_svg_contents(node, target) {\n        var TMP_62, self = this, svg = nil, old_start_tag = nil, new_start_tag = nil;\n\n        \n        if ($truthy((svg = node.$read_contents(target, $hash2([\"start\", \"normalize\", \"label\"], {\"start\": node.$document().$attr(\"imagesdir\"), \"normalize\": true, \"label\": \"SVG\"}))))) {\n          \n          if ($truthy(svg['$start_with?'](\"<svg\"))) {\n          } else {\n            svg = svg.$sub($$($nesting, 'SvgPreambleRx'), \"\")\n          };\n          old_start_tag = (new_start_tag = nil);\n          $send([\"width\", \"height\"], 'each', [], (TMP_62 = function(dim){var self = TMP_62.$$s || this;\nif (dim == null) dim = nil;\n          if ($truthy(node['$attr?'](dim))) {\n              \n              if ($truthy(new_start_tag)) {\n              } else {\n                new_start_tag = (old_start_tag = svg.$match($$($nesting, 'SvgStartTagRx'))['$[]'](0)).$gsub($$($nesting, 'DimensionAttributeRx'), \"\")\n              };\n              return (new_start_tag = \"\" + (new_start_tag.$chop()) + \" \" + (dim) + \"=\\\"\" + (node.$attr(dim)) + \"px\\\">\");\n            } else {\n              return nil\n            }}, TMP_62.$$s = self, TMP_62.$$arity = 1, TMP_62));\n          if ($truthy(new_start_tag)) {\n            svg = \"\" + (new_start_tag) + (svg['$[]'](Opal.Range.$new(old_start_tag.$length(), -1, false)))};};\n        return svg;\n      }, TMP_Html5Converter_read_svg_contents_63.$$arity = 2), nil) && 'read_svg_contents';\n    })($$($nesting, 'Converter'), $$$($$($nesting, 'Converter'), 'BuiltIn'), $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/extensions\"] = function(Opal) {\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_plus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs + rhs : lhs['$+'](rhs);\n  }\n  function $rb_gt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs > rhs : lhs['$>'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $truthy = Opal.truthy, $hash2 = Opal.hash2, $send = Opal.send, $hash = Opal.hash;\n\n  Opal.add_stubs(['$[]=', '$config', '$-', '$nil_or_empty?', '$name', '$grep', '$constants', '$include', '$const_get', '$extend', '$attr_reader', '$merge', '$class', '$update', '$raise', '$document', '$doctype', '$[]', '$+', '$level', '$delete', '$==', '$casecmp', '$new', '$title=', '$sectname=', '$special=', '$fetch', '$numbered=', '$>', '$key?', '$attributes', '$special', '$context', '$numbered', '$generate_id', '$title', '$id=', '$update_attributes', '$tr', '$basename', '$create_block', '$===', '$next_block', '$dup', '$<<', '$has_more_lines?', '$each', '$define_method', '$unshift', '$shift', '$send', '$empty?', '$size', '$call', '$option', '$flatten', '$respond_to?', '$include?', '$to_s', '$split', '$to_i', '$compact', '$inspect', '$attr_accessor', '$to_set', '$!', '$resolve_regexp', '$match?', '$method', '$register', '$values', '$groups', '$arity', '$instance_exec', '$to_proc', '$activate', '$add_document_processor', '$any?', '$select', '$add_syntax_processor', '$to_sym', '$private', '$join', '$map', '$capitalize', '$instance_variable_get', '$instance_variable_set', '$resolve_args', '$freeze', '$process_block_given?', '$source_location', '$resolve_class', '$<', '$update_config', '$push', '$as_symbol', '$name=', '$pop', '$-@', '$next_auto_id', '$generate_name', '$class_for_name', '$const_defined?']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $parent_nesting) {\n      var $Extensions, self = $Extensions = $module($base, 'Extensions');\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n      \n      (function($base, $super, $parent_nesting) {\n        function $Processor(){};\n        var self = $Processor = $klass($base, $super, 'Processor', $Processor);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Processor_initialize_4, TMP_Processor_update_config_5, TMP_Processor_process_6, TMP_Processor_create_section_7, TMP_Processor_create_block_8, TMP_Processor_create_image_block_9, TMP_Processor_create_inline_10, TMP_Processor_parse_content_11, TMP_Processor_12;\n\n        def.config = nil;\n        \n        (function(self, $parent_nesting) {\n          var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_config_1, TMP_option_2, TMP_use_dsl_3;\n\n          \n          \n          Opal.def(self, '$config', TMP_config_1 = function $$config() {\n            var $a, self = this;\n            if (self.config == null) self.config = nil;\n\n            return (self.config = ($truthy($a = self.config) ? $a : $hash2([], {})))\n          }, TMP_config_1.$$arity = 0);\n          \n          Opal.def(self, '$option', TMP_option_2 = function $$option(key, default_value) {\n            var self = this, $writer = nil;\n\n            \n            $writer = [key, default_value];\n            $send(self.$config(), '[]=', Opal.to_a($writer));\n            return $writer[$rb_minus($writer[\"length\"], 1)];\n          }, TMP_option_2.$$arity = 2);\n          \n          Opal.def(self, '$use_dsl', TMP_use_dsl_3 = function $$use_dsl() {\n            var self = this;\n\n            if ($truthy(self.$name()['$nil_or_empty?']())) {\n              if ($truthy((Opal.Module.$$nesting = $nesting, self.$constants()).$grep(\"DSL\"))) {\n                return self.$include(self.$const_get(\"DSL\"))\n              } else {\n                return nil\n              }\n            } else if ($truthy((Opal.Module.$$nesting = $nesting, self.$constants()).$grep(\"DSL\"))) {\n              return self.$extend(self.$const_get(\"DSL\"))\n            } else {\n              return nil\n            }\n          }, TMP_use_dsl_3.$$arity = 0);\n          Opal.alias(self, \"extend_dsl\", \"use_dsl\");\n          return Opal.alias(self, \"include_dsl\", \"use_dsl\");\n        })(Opal.get_singleton_class(self), $nesting);\n        self.$attr_reader(\"config\");\n        \n        Opal.def(self, '$initialize', TMP_Processor_initialize_4 = function $$initialize(config) {\n          var self = this;\n\n          if (config == null) {\n            config = $hash2([], {});\n          }\n          return (self.config = self.$class().$config().$merge(config))\n        }, TMP_Processor_initialize_4.$$arity = -1);\n        \n        Opal.def(self, '$update_config', TMP_Processor_update_config_5 = function $$update_config(config) {\n          var self = this;\n\n          return self.config.$update(config)\n        }, TMP_Processor_update_config_5.$$arity = 1);\n        \n        Opal.def(self, '$process', TMP_Processor_process_6 = function $$process($a_rest) {\n          var self = this, args;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          return self.$raise($$$('::', 'NotImplementedError'), \"\" + \"Asciidoctor::Extensions::Processor subclass must implement #\" + (\"process\") + \" method\")\n        }, TMP_Processor_process_6.$$arity = -1);\n        \n        Opal.def(self, '$create_section', TMP_Processor_create_section_7 = function $$create_section(parent, title, attrs, opts) {\n          var $a, $b, self = this, doc = nil, doctype = nil, level = nil, style = nil, sectname = nil, special = nil, sect = nil, $writer = nil, id = nil;\n\n          if (opts == null) {\n            opts = $hash2([], {});\n          }\n          \n          doc = parent.$document();\n          $a = [doc.$doctype(), ($truthy($b = opts['$[]'](\"level\")) ? $b : $rb_plus(parent.$level(), 1))], (doctype = $a[0]), (level = $a[1]), $a;\n          if ($truthy((style = attrs.$delete(\"style\")))) {\n            if ($truthy((($a = style['$=='](\"abstract\")) ? doctype['$=='](\"book\") : style['$=='](\"abstract\")))) {\n              $a = [\"chapter\", 1], (sectname = $a[0]), (level = $a[1]), $a\n            } else {\n              \n              $a = [style, true], (sectname = $a[0]), (special = $a[1]), $a;\n              if (level['$=='](0)) {\n                level = 1};\n            }\n          } else if (doctype['$=='](\"book\")) {\n            sectname = (function() {if (level['$=='](0)) {\n              return \"part\"\n            } else {\n              \n              if (level['$=='](1)) {\n                return \"chapter\"\n              } else {\n                return \"section\"\n              };\n            }; return nil; })()\n          } else if ($truthy((($a = doctype['$=='](\"manpage\")) ? title.$casecmp(\"synopsis\")['$=='](0) : doctype['$=='](\"manpage\")))) {\n            $a = [\"synopsis\", true], (sectname = $a[0]), (special = $a[1]), $a\n          } else {\n            sectname = \"section\"\n          };\n          sect = $$($nesting, 'Section').$new(parent, level, false);\n          $a = [title, sectname], sect['$title=']($a[0]), sect['$sectname=']($a[1]), $a;\n          if ($truthy(special)) {\n            \n            \n            $writer = [true];\n            $send(sect, 'special=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            if ($truthy(opts.$fetch(\"numbered\", style['$=='](\"appendix\")))) {\n              \n              $writer = [true];\n              $send(sect, 'numbered=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];};\n          } else if ($truthy(opts.$fetch(\"numbered\", ($truthy($a = $rb_gt(level, 0)) ? doc.$attributes()['$key?'](\"sectnums\") : $a)))) {\n            \n            $writer = [(function() {if ($truthy(sect.$special())) {\n              \n              return (($a = parent.$context()['$=='](\"section\")) ? parent.$numbered() : parent.$context()['$=='](\"section\"));\n            } else {\n              return true\n            }; return nil; })()];\n            $send(sect, 'numbered=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];};\n          if ((id = attrs.$delete(\"id\"))['$=='](false)) {\n          } else {\n            \n            $writer = [(($writer = [\"id\", ($truthy($a = id) ? $a : (function() {if ($truthy(doc.$attributes()['$key?'](\"sectids\"))) {\n              \n              return $$($nesting, 'Section').$generate_id(sect.$title(), doc);\n            } else {\n              return nil\n            }; return nil; })())]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])];\n            $send(sect, 'id=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];\n          };\n          sect.$update_attributes(attrs);\n          return sect;\n        }, TMP_Processor_create_section_7.$$arity = -4);\n        \n        Opal.def(self, '$create_block', TMP_Processor_create_block_8 = function $$create_block(parent, context, source, attrs, opts) {\n          var self = this;\n\n          if (opts == null) {\n            opts = $hash2([], {});\n          }\n          return $$($nesting, 'Block').$new(parent, context, $hash2([\"source\", \"attributes\"], {\"source\": source, \"attributes\": attrs}).$merge(opts))\n        }, TMP_Processor_create_block_8.$$arity = -5);\n        \n        Opal.def(self, '$create_image_block', TMP_Processor_create_image_block_9 = function $$create_image_block(parent, attrs, opts) {\n          var $a, self = this, target = nil, $writer = nil;\n\n          if (opts == null) {\n            opts = $hash2([], {});\n          }\n          \n          if ($truthy((target = attrs['$[]'](\"target\")))) {\n          } else {\n            self.$raise($$$('::', 'ArgumentError'), \"Unable to create an image block, target attribute is required\")\n          };\n          ($truthy($a = attrs['$[]'](\"alt\")) ? $a : (($writer = [\"alt\", (($writer = [\"default-alt\", $$($nesting, 'Helpers').$basename(target, true).$tr(\"_-\", \" \")]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)])]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n          return self.$create_block(parent, \"image\", nil, attrs, opts);\n        }, TMP_Processor_create_image_block_9.$$arity = -3);\n        \n        Opal.def(self, '$create_inline', TMP_Processor_create_inline_10 = function $$create_inline(parent, context, text, opts) {\n          var self = this;\n\n          if (opts == null) {\n            opts = $hash2([], {});\n          }\n          return $$($nesting, 'Inline').$new(parent, context, text, opts)\n        }, TMP_Processor_create_inline_10.$$arity = -4);\n        \n        Opal.def(self, '$parse_content', TMP_Processor_parse_content_11 = function $$parse_content(parent, content, attributes) {\n          var $a, $b, $c, self = this, reader = nil, block = nil;\n\n          if (attributes == null) {\n            attributes = nil;\n          }\n          \n          reader = (function() {if ($truthy($$($nesting, 'Reader')['$==='](content))) {\n            return content\n          } else {\n            \n            return $$($nesting, 'Reader').$new(content);\n          }; return nil; })();\n          while ($truthy(($truthy($b = ($truthy($c = (block = $$($nesting, 'Parser').$next_block(reader, parent, (function() {if ($truthy(attributes)) {\n            return attributes.$dup()\n          } else {\n            return $hash2([], {})\n          }; return nil; })()))) ? parent['$<<'](block) : $c)) ? $b : reader['$has_more_lines?']()))) {\n            \n          };\n          return parent;\n        }, TMP_Processor_parse_content_11.$$arity = -3);\n        return $send([[\"create_paragraph\", \"create_block\", \"paragraph\"], [\"create_open_block\", \"create_block\", \"open\"], [\"create_example_block\", \"create_block\", \"example\"], [\"create_pass_block\", \"create_block\", \"pass\"], [\"create_listing_block\", \"create_block\", \"listing\"], [\"create_literal_block\", \"create_block\", \"literal\"], [\"create_anchor\", \"create_inline\", \"anchor\"]], 'each', [], (TMP_Processor_12 = function(method_name, delegate_method_name, context){var self = TMP_Processor_12.$$s || this, TMP_13;\nif (method_name == null) method_name = nil;if (delegate_method_name == null) delegate_method_name = nil;if (context == null) context = nil;\n        return $send(self, 'define_method', [method_name], (TMP_13 = function($a_rest){var self = TMP_13.$$s || this, args;\n\n            var $args_len = arguments.length, $rest_len = $args_len - 0;\n            if ($rest_len < 0) { $rest_len = 0; }\n            args = new Array($rest_len);\n            for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n              args[$arg_idx - 0] = arguments[$arg_idx];\n            }\n          \n            args.$unshift(args.$shift(), context);\n            return $send(self, 'send', [delegate_method_name].concat(Opal.to_a(args)));}, TMP_13.$$s = self, TMP_13.$$arity = -1, TMP_13))}, TMP_Processor_12.$$s = self, TMP_Processor_12.$$arity = 3, TMP_Processor_12));\n      })($nesting[0], null, $nesting);\n      (function($base, $parent_nesting) {\n        var $ProcessorDsl, self = $ProcessorDsl = $module($base, 'ProcessorDsl');\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_ProcessorDsl_option_14, TMP_ProcessorDsl_process_15, TMP_ProcessorDsl_process_block_given$q_16;\n\n        \n        \n        Opal.def(self, '$option', TMP_ProcessorDsl_option_14 = function $$option(key, value) {\n          var self = this, $writer = nil;\n\n          \n          $writer = [key, value];\n          $send(self.$config(), '[]=', Opal.to_a($writer));\n          return $writer[$rb_minus($writer[\"length\"], 1)];\n        }, TMP_ProcessorDsl_option_14.$$arity = 2);\n        \n        Opal.def(self, '$process', TMP_ProcessorDsl_process_15 = function $$process($a_rest) {\n          var $b, self = this, args, $iter = TMP_ProcessorDsl_process_15.$$p, block = $iter || nil;\n          if (self.process_block == null) self.process_block = nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          if ($iter) TMP_ProcessorDsl_process_15.$$p = null;\n          if ((block !== nil)) {\n            \n            if ($truthy(args['$empty?']())) {\n            } else {\n              self.$raise($$$('::', 'ArgumentError'), \"\" + \"wrong number of arguments (given \" + (args.$size()) + \", expected 0)\")\n            };\n            return (self.process_block = block);\n          } else if ($truthy((($b = self['process_block'], $b != null && $b !== nil) ? 'instance-variable' : nil))) {\n            return $send(self.process_block, 'call', Opal.to_a(args))\n          } else {\n            return self.$raise($$$('::', 'NotImplementedError'))\n          }\n        }, TMP_ProcessorDsl_process_15.$$arity = -1);\n        \n        Opal.def(self, '$process_block_given?', TMP_ProcessorDsl_process_block_given$q_16 = function() {\n          var $a, self = this;\n\n          return (($a = self['process_block'], $a != null && $a !== nil) ? 'instance-variable' : nil)\n        }, TMP_ProcessorDsl_process_block_given$q_16.$$arity = 0);\n      })($nesting[0], $nesting);\n      (function($base, $parent_nesting) {\n        var $SyntaxDsl, self = $SyntaxDsl = $module($base, 'SyntaxDsl');\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_SyntaxDsl_named_17, TMP_SyntaxDsl_content_model_18, TMP_SyntaxDsl_positional_attrs_19, TMP_SyntaxDsl_default_attrs_20, TMP_SyntaxDsl_resolves_attributes_23;\n\n        \n        self.$include($$($nesting, 'ProcessorDsl'));\n        \n        Opal.def(self, '$named', TMP_SyntaxDsl_named_17 = function $$named(value) {\n          var self = this;\n\n          if ($truthy($$($nesting, 'Processor')['$==='](self))) {\n            return (self.name = value)\n          } else {\n            return self.$option(\"name\", value)\n          }\n        }, TMP_SyntaxDsl_named_17.$$arity = 1);\n        Opal.alias(self, \"match_name\", \"named\");\n        \n        Opal.def(self, '$content_model', TMP_SyntaxDsl_content_model_18 = function $$content_model(value) {\n          var self = this;\n\n          return self.$option(\"content_model\", value)\n        }, TMP_SyntaxDsl_content_model_18.$$arity = 1);\n        Opal.alias(self, \"parse_content_as\", \"content_model\");\n        Opal.alias(self, \"parses_content_as\", \"content_model\");\n        \n        Opal.def(self, '$positional_attrs', TMP_SyntaxDsl_positional_attrs_19 = function $$positional_attrs($a_rest) {\n          var self = this, value;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          value = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            value[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          return self.$option(\"pos_attrs\", value.$flatten())\n        }, TMP_SyntaxDsl_positional_attrs_19.$$arity = -1);\n        Opal.alias(self, \"name_attributes\", \"positional_attrs\");\n        Opal.alias(self, \"name_positional_attributes\", \"positional_attrs\");\n        \n        Opal.def(self, '$default_attrs', TMP_SyntaxDsl_default_attrs_20 = function $$default_attrs(value) {\n          var self = this;\n\n          return self.$option(\"default_attrs\", value)\n        }, TMP_SyntaxDsl_default_attrs_20.$$arity = 1);\n        \n        Opal.def(self, '$resolves_attributes', TMP_SyntaxDsl_resolves_attributes_23 = function $$resolves_attributes($a_rest) {\n          var $b, TMP_21, TMP_22, self = this, args, $case = nil, names = nil, defaults = nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          \n          if ($truthy($rb_gt(args.$size(), 1))) {\n          } else if ($truthy((args = args.$fetch(0, true))['$respond_to?'](\"to_sym\"))) {\n            args = [args]};\n          return (function() {$case = args;\n          if (true['$===']($case)) {\n          self.$option(\"pos_attrs\", []);\n          return self.$option(\"default_attrs\", $hash2([], {}));}\n          else if ($$$('::', 'Array')['$===']($case)) {\n          $b = [[], $hash2([], {})], (names = $b[0]), (defaults = $b[1]), $b;\n          $send(args, 'each', [], (TMP_21 = function(arg){var self = TMP_21.$$s || this, $a, $c, name = nil, value = nil, idx = nil, $writer = nil;\nif (arg == null) arg = nil;\n          if ($truthy((arg = arg.$to_s())['$include?'](\"=\"))) {\n              \n              $c = arg.$split(\"=\", 2), $a = Opal.to_ary($c), (name = ($a[0] == null ? nil : $a[0])), (value = ($a[1] == null ? nil : $a[1])), $c;\n              if ($truthy(name['$include?'](\":\"))) {\n                \n                $c = name.$split(\":\", 2), $a = Opal.to_ary($c), (idx = ($a[0] == null ? nil : $a[0])), (name = ($a[1] == null ? nil : $a[1])), $c;\n                idx = (function() {if (idx['$=='](\"@\")) {\n                  return names.$size()\n                } else {\n                  return idx.$to_i()\n                }; return nil; })();\n                \n                $writer = [idx, name];\n                $send(names, '[]=', Opal.to_a($writer));\n                $writer[$rb_minus($writer[\"length\"], 1)];;};\n              \n              $writer = [name, value];\n              $send(defaults, '[]=', Opal.to_a($writer));\n              return $writer[$rb_minus($writer[\"length\"], 1)];;\n            } else if ($truthy(arg['$include?'](\":\"))) {\n              \n              $c = arg.$split(\":\", 2), $a = Opal.to_ary($c), (idx = ($a[0] == null ? nil : $a[0])), (name = ($a[1] == null ? nil : $a[1])), $c;\n              idx = (function() {if (idx['$=='](\"@\")) {\n                return names.$size()\n              } else {\n                return idx.$to_i()\n              }; return nil; })();\n              \n              $writer = [idx, name];\n              $send(names, '[]=', Opal.to_a($writer));\n              return $writer[$rb_minus($writer[\"length\"], 1)];;\n            } else {\n              return names['$<<'](arg)\n            }}, TMP_21.$$s = self, TMP_21.$$arity = 1, TMP_21));\n          self.$option(\"pos_attrs\", names.$compact());\n          return self.$option(\"default_attrs\", defaults);}\n          else if ($$$('::', 'Hash')['$===']($case)) {\n          $b = [[], $hash2([], {})], (names = $b[0]), (defaults = $b[1]), $b;\n          $send(args, 'each', [], (TMP_22 = function(key, val){var self = TMP_22.$$s || this, $a, $c, name = nil, idx = nil, $writer = nil;\nif (key == null) key = nil;if (val == null) val = nil;\n          \n            if ($truthy((name = key.$to_s())['$include?'](\":\"))) {\n              \n              $c = name.$split(\":\", 2), $a = Opal.to_ary($c), (idx = ($a[0] == null ? nil : $a[0])), (name = ($a[1] == null ? nil : $a[1])), $c;\n              idx = (function() {if (idx['$=='](\"@\")) {\n                return names.$size()\n              } else {\n                return idx.$to_i()\n              }; return nil; })();\n              \n              $writer = [idx, name];\n              $send(names, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];;};\n            if ($truthy(val)) {\n              \n              $writer = [name, val];\n              $send(defaults, '[]=', Opal.to_a($writer));\n              return $writer[$rb_minus($writer[\"length\"], 1)];\n            } else {\n              return nil\n            };}, TMP_22.$$s = self, TMP_22.$$arity = 2, TMP_22));\n          self.$option(\"pos_attrs\", names.$compact());\n          return self.$option(\"default_attrs\", defaults);}\n          else {return self.$raise($$$('::', 'ArgumentError'), \"\" + \"unsupported attributes specification for macro: \" + (args.$inspect()))}})();\n        }, TMP_SyntaxDsl_resolves_attributes_23.$$arity = -1);\n        Opal.alias(self, \"resolve_attributes\", \"resolves_attributes\");\n      })($nesting[0], $nesting);\n      (function($base, $super, $parent_nesting) {\n        function $Preprocessor(){};\n        var self = $Preprocessor = $klass($base, $super, 'Preprocessor', $Preprocessor);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Preprocessor_process_24;\n\n        return (Opal.def(self, '$process', TMP_Preprocessor_process_24 = function $$process(document, reader) {\n          var self = this;\n\n          return self.$raise($$$('::', 'NotImplementedError'), \"\" + \"Asciidoctor::Extensions::Preprocessor subclass must implement #\" + (\"process\") + \" method\")\n        }, TMP_Preprocessor_process_24.$$arity = 2), nil) && 'process'\n      })($nesting[0], $$($nesting, 'Processor'), $nesting);\n      Opal.const_set($$($nesting, 'Preprocessor'), 'DSL', $$($nesting, 'ProcessorDsl'));\n      (function($base, $super, $parent_nesting) {\n        function $TreeProcessor(){};\n        var self = $TreeProcessor = $klass($base, $super, 'TreeProcessor', $TreeProcessor);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_TreeProcessor_process_25;\n\n        return (Opal.def(self, '$process', TMP_TreeProcessor_process_25 = function $$process(document) {\n          var self = this;\n\n          return self.$raise($$$('::', 'NotImplementedError'), \"\" + \"Asciidoctor::Extensions::TreeProcessor subclass must implement #\" + (\"process\") + \" method\")\n        }, TMP_TreeProcessor_process_25.$$arity = 1), nil) && 'process'\n      })($nesting[0], $$($nesting, 'Processor'), $nesting);\n      Opal.const_set($$($nesting, 'TreeProcessor'), 'DSL', $$($nesting, 'ProcessorDsl'));\n      Opal.const_set($nesting[0], 'Treeprocessor', $$($nesting, 'TreeProcessor'));\n      (function($base, $super, $parent_nesting) {\n        function $Postprocessor(){};\n        var self = $Postprocessor = $klass($base, $super, 'Postprocessor', $Postprocessor);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Postprocessor_process_26;\n\n        return (Opal.def(self, '$process', TMP_Postprocessor_process_26 = function $$process(document, output) {\n          var self = this;\n\n          return self.$raise($$$('::', 'NotImplementedError'), \"\" + \"Asciidoctor::Extensions::Postprocessor subclass must implement #\" + (\"process\") + \" method\")\n        }, TMP_Postprocessor_process_26.$$arity = 2), nil) && 'process'\n      })($nesting[0], $$($nesting, 'Processor'), $nesting);\n      Opal.const_set($$($nesting, 'Postprocessor'), 'DSL', $$($nesting, 'ProcessorDsl'));\n      (function($base, $super, $parent_nesting) {\n        function $IncludeProcessor(){};\n        var self = $IncludeProcessor = $klass($base, $super, 'IncludeProcessor', $IncludeProcessor);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_IncludeProcessor_process_27, TMP_IncludeProcessor_handles$q_28;\n\n        \n        \n        Opal.def(self, '$process', TMP_IncludeProcessor_process_27 = function $$process(document, reader, target, attributes) {\n          var self = this;\n\n          return self.$raise($$$('::', 'NotImplementedError'), \"\" + \"Asciidoctor::Extensions::IncludeProcessor subclass must implement #\" + (\"process\") + \" method\")\n        }, TMP_IncludeProcessor_process_27.$$arity = 4);\n        return (Opal.def(self, '$handles?', TMP_IncludeProcessor_handles$q_28 = function(target) {\n          var self = this;\n\n          return true\n        }, TMP_IncludeProcessor_handles$q_28.$$arity = 1), nil) && 'handles?';\n      })($nesting[0], $$($nesting, 'Processor'), $nesting);\n      (function($base, $parent_nesting) {\n        var $IncludeProcessorDsl, self = $IncludeProcessorDsl = $module($base, 'IncludeProcessorDsl');\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_IncludeProcessorDsl_handles$q_29;\n\n        \n        self.$include($$($nesting, 'ProcessorDsl'));\n        \n        Opal.def(self, '$handles?', TMP_IncludeProcessorDsl_handles$q_29 = function($a_rest) {\n          var $b, self = this, args, $iter = TMP_IncludeProcessorDsl_handles$q_29.$$p, block = $iter || nil;\n          if (self.handles_block == null) self.handles_block = nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          if ($iter) TMP_IncludeProcessorDsl_handles$q_29.$$p = null;\n          if ((block !== nil)) {\n            \n            if ($truthy(args['$empty?']())) {\n            } else {\n              self.$raise($$$('::', 'ArgumentError'), \"\" + \"wrong number of arguments (given \" + (args.$size()) + \", expected 0)\")\n            };\n            return (self.handles_block = block);\n          } else if ($truthy((($b = self['handles_block'], $b != null && $b !== nil) ? 'instance-variable' : nil))) {\n            return self.handles_block.$call(args['$[]'](0))\n          } else {\n            return true\n          }\n        }, TMP_IncludeProcessorDsl_handles$q_29.$$arity = -1);\n      })($nesting[0], $nesting);\n      Opal.const_set($$($nesting, 'IncludeProcessor'), 'DSL', $$($nesting, 'IncludeProcessorDsl'));\n      (function($base, $super, $parent_nesting) {\n        function $DocinfoProcessor(){};\n        var self = $DocinfoProcessor = $klass($base, $super, 'DocinfoProcessor', $DocinfoProcessor);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_DocinfoProcessor_initialize_30, TMP_DocinfoProcessor_process_31;\n\n        def.config = nil;\n        \n        self.$attr_accessor(\"location\");\n        \n        Opal.def(self, '$initialize', TMP_DocinfoProcessor_initialize_30 = function $$initialize(config) {\n          var $a, self = this, $iter = TMP_DocinfoProcessor_initialize_30.$$p, $yield = $iter || nil, $writer = nil;\n\n          if (config == null) {\n            config = $hash2([], {});\n          }\n          if ($iter) TMP_DocinfoProcessor_initialize_30.$$p = null;\n          \n          $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_DocinfoProcessor_initialize_30, false), [config], null);\n          return ($truthy($a = self.config['$[]'](\"location\")) ? $a : (($writer = [\"location\", \"head\"]), $send(self.config, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n        }, TMP_DocinfoProcessor_initialize_30.$$arity = -1);\n        return (Opal.def(self, '$process', TMP_DocinfoProcessor_process_31 = function $$process(document) {\n          var self = this;\n\n          return self.$raise($$$('::', 'NotImplementedError'), \"\" + \"Asciidoctor::Extensions::DocinfoProcessor subclass must implement #\" + (\"process\") + \" method\")\n        }, TMP_DocinfoProcessor_process_31.$$arity = 1), nil) && 'process';\n      })($nesting[0], $$($nesting, 'Processor'), $nesting);\n      (function($base, $parent_nesting) {\n        var $DocinfoProcessorDsl, self = $DocinfoProcessorDsl = $module($base, 'DocinfoProcessorDsl');\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_DocinfoProcessorDsl_at_location_32;\n\n        \n        self.$include($$($nesting, 'ProcessorDsl'));\n        \n        Opal.def(self, '$at_location', TMP_DocinfoProcessorDsl_at_location_32 = function $$at_location(value) {\n          var self = this;\n\n          return self.$option(\"location\", value)\n        }, TMP_DocinfoProcessorDsl_at_location_32.$$arity = 1);\n      })($nesting[0], $nesting);\n      Opal.const_set($$($nesting, 'DocinfoProcessor'), 'DSL', $$($nesting, 'DocinfoProcessorDsl'));\n      (function($base, $super, $parent_nesting) {\n        function $BlockProcessor(){};\n        var self = $BlockProcessor = $klass($base, $super, 'BlockProcessor', $BlockProcessor);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_BlockProcessor_initialize_33, TMP_BlockProcessor_process_34;\n\n        def.config = nil;\n        \n        self.$attr_accessor(\"name\");\n        \n        Opal.def(self, '$initialize', TMP_BlockProcessor_initialize_33 = function $$initialize(name, config) {\n          var $a, self = this, $iter = TMP_BlockProcessor_initialize_33.$$p, $yield = $iter || nil, $case = nil, $writer = nil;\n\n          if (name == null) {\n            name = nil;\n          }\n          if (config == null) {\n            config = $hash2([], {});\n          }\n          if ($iter) TMP_BlockProcessor_initialize_33.$$p = null;\n          \n          $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_BlockProcessor_initialize_33, false), [config], null);\n          self.name = ($truthy($a = name) ? $a : self.config['$[]'](\"name\"));\n          $case = self.config['$[]'](\"contexts\");\n          if ($$$('::', 'NilClass')['$===']($case)) {($truthy($a = self.config['$[]'](\"contexts\")) ? $a : (($writer = [\"contexts\", [\"open\", \"paragraph\"].$to_set()]), $send(self.config, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))}\n          else if ($$$('::', 'Symbol')['$===']($case)) {\n          $writer = [\"contexts\", [self.config['$[]'](\"contexts\")].$to_set()];\n          $send(self.config, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];}\n          else {\n          $writer = [\"contexts\", self.config['$[]'](\"contexts\").$to_set()];\n          $send(self.config, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];};\n          return ($truthy($a = self.config['$[]'](\"content_model\")) ? $a : (($writer = [\"content_model\", \"compound\"]), $send(self.config, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n        }, TMP_BlockProcessor_initialize_33.$$arity = -1);\n        return (Opal.def(self, '$process', TMP_BlockProcessor_process_34 = function $$process(parent, reader, attributes) {\n          var self = this;\n\n          return self.$raise($$$('::', 'NotImplementedError'), \"\" + \"Asciidoctor::Extensions::BlockProcessor subclass must implement #\" + (\"process\") + \" method\")\n        }, TMP_BlockProcessor_process_34.$$arity = 3), nil) && 'process';\n      })($nesting[0], $$($nesting, 'Processor'), $nesting);\n      (function($base, $parent_nesting) {\n        var $BlockProcessorDsl, self = $BlockProcessorDsl = $module($base, 'BlockProcessorDsl');\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_BlockProcessorDsl_contexts_35;\n\n        \n        self.$include($$($nesting, 'SyntaxDsl'));\n        \n        Opal.def(self, '$contexts', TMP_BlockProcessorDsl_contexts_35 = function $$contexts($a_rest) {\n          var self = this, value;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          value = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            value[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          return self.$option(\"contexts\", value.$flatten().$to_set())\n        }, TMP_BlockProcessorDsl_contexts_35.$$arity = -1);\n        Opal.alias(self, \"on_contexts\", \"contexts\");\n        Opal.alias(self, \"on_context\", \"contexts\");\n        Opal.alias(self, \"bound_to\", \"contexts\");\n      })($nesting[0], $nesting);\n      Opal.const_set($$($nesting, 'BlockProcessor'), 'DSL', $$($nesting, 'BlockProcessorDsl'));\n      (function($base, $super, $parent_nesting) {\n        function $MacroProcessor(){};\n        var self = $MacroProcessor = $klass($base, $super, 'MacroProcessor', $MacroProcessor);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_MacroProcessor_initialize_36, TMP_MacroProcessor_process_37;\n\n        def.config = nil;\n        \n        self.$attr_accessor(\"name\");\n        \n        Opal.def(self, '$initialize', TMP_MacroProcessor_initialize_36 = function $$initialize(name, config) {\n          var $a, self = this, $iter = TMP_MacroProcessor_initialize_36.$$p, $yield = $iter || nil, $writer = nil;\n\n          if (name == null) {\n            name = nil;\n          }\n          if (config == null) {\n            config = $hash2([], {});\n          }\n          if ($iter) TMP_MacroProcessor_initialize_36.$$p = null;\n          \n          $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_MacroProcessor_initialize_36, false), [config], null);\n          self.name = ($truthy($a = name) ? $a : self.config['$[]'](\"name\"));\n          return ($truthy($a = self.config['$[]'](\"content_model\")) ? $a : (($writer = [\"content_model\", \"attributes\"]), $send(self.config, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n        }, TMP_MacroProcessor_initialize_36.$$arity = -1);\n        return (Opal.def(self, '$process', TMP_MacroProcessor_process_37 = function $$process(parent, target, attributes) {\n          var self = this;\n\n          return self.$raise($$$('::', 'NotImplementedError'), \"\" + \"Asciidoctor::Extensions::MacroProcessor subclass must implement #\" + (\"process\") + \" method\")\n        }, TMP_MacroProcessor_process_37.$$arity = 3), nil) && 'process';\n      })($nesting[0], $$($nesting, 'Processor'), $nesting);\n      (function($base, $parent_nesting) {\n        var $MacroProcessorDsl, self = $MacroProcessorDsl = $module($base, 'MacroProcessorDsl');\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_MacroProcessorDsl_resolves_attributes_38;\n\n        \n        self.$include($$($nesting, 'SyntaxDsl'));\n        \n        Opal.def(self, '$resolves_attributes', TMP_MacroProcessorDsl_resolves_attributes_38 = function $$resolves_attributes($a_rest) {\n          var $b, self = this, args, $iter = TMP_MacroProcessorDsl_resolves_attributes_38.$$p, $yield = $iter || nil, $zuper = nil, $zuper_i = nil, $zuper_ii = nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          if ($iter) TMP_MacroProcessorDsl_resolves_attributes_38.$$p = null;\n          // Prepare super implicit arguments\n          for($zuper_i = 0, $zuper_ii = arguments.length, $zuper = new Array($zuper_ii); $zuper_i < $zuper_ii; $zuper_i++) {\n            $zuper[$zuper_i] = arguments[$zuper_i];\n          }\n          \n          if ($truthy((($b = args.$size()['$=='](1)) ? args['$[]'](0)['$!']() : args.$size()['$=='](1)))) {\n            \n            self.$option(\"content_model\", \"text\");\n            return nil;};\n          $send(self, Opal.find_super_dispatcher(self, 'resolves_attributes', TMP_MacroProcessorDsl_resolves_attributes_38, false), $zuper, $iter);\n          return self.$option(\"content_model\", \"attributes\");\n        }, TMP_MacroProcessorDsl_resolves_attributes_38.$$arity = -1);\n        Opal.alias(self, \"resolve_attributes\", \"resolves_attributes\");\n      })($nesting[0], $nesting);\n      (function($base, $super, $parent_nesting) {\n        function $BlockMacroProcessor(){};\n        var self = $BlockMacroProcessor = $klass($base, $super, 'BlockMacroProcessor', $BlockMacroProcessor);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n        return nil\n      })($nesting[0], $$($nesting, 'MacroProcessor'), $nesting);\n      Opal.const_set($$($nesting, 'BlockMacroProcessor'), 'DSL', $$($nesting, 'MacroProcessorDsl'));\n      (function($base, $super, $parent_nesting) {\n        function $InlineMacroProcessor(){};\n        var self = $InlineMacroProcessor = $klass($base, $super, 'InlineMacroProcessor', $InlineMacroProcessor);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_InlineMacroProcessor_regexp_39, TMP_InlineMacroProcessor_resolve_regexp_40;\n\n        def.config = def.name = nil;\n        \n        (Opal.class_variable_set($InlineMacroProcessor, '@@rx_cache', $hash2([], {})));\n        \n        Opal.def(self, '$regexp', TMP_InlineMacroProcessor_regexp_39 = function $$regexp() {\n          var $a, self = this, $writer = nil;\n\n          return ($truthy($a = self.config['$[]'](\"regexp\")) ? $a : (($writer = [\"regexp\", self.$resolve_regexp(self.name.$to_s(), self.config['$[]'](\"format\"))]), $send(self.config, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))\n        }, TMP_InlineMacroProcessor_regexp_39.$$arity = 0);\n        return (Opal.def(self, '$resolve_regexp', TMP_InlineMacroProcessor_resolve_regexp_40 = function $$resolve_regexp(name, format) {\n          var $a, $b, self = this, $writer = nil;\n\n          \n          if ($truthy($$($nesting, 'MacroNameRx')['$match?'](name))) {\n          } else {\n            self.$raise($$$('::', 'ArgumentError'), \"\" + \"invalid name for inline macro: \" + (name))\n          };\n          return ($truthy($a = (($b = $InlineMacroProcessor.$$cvars['@@rx_cache']) == null ? nil : $b)['$[]']([name, format])) ? $a : (($writer = [[name, format], new RegExp(\"\" + \"\\\\\\\\?\" + (name) + \":\" + ((function() {if (format['$=='](\"short\")) {\n            return \"(){0}\"\n          } else {\n            return \"(\\\\S+?)\"\n          }; return nil; })()) + \"\\\\[(|.*?[^\\\\\\\\])\\\\]\")]), $send((($b = $InlineMacroProcessor.$$cvars['@@rx_cache']) == null ? nil : $b), '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n        }, TMP_InlineMacroProcessor_resolve_regexp_40.$$arity = 2), nil) && 'resolve_regexp';\n      })($nesting[0], $$($nesting, 'MacroProcessor'), $nesting);\n      (function($base, $parent_nesting) {\n        var $InlineMacroProcessorDsl, self = $InlineMacroProcessorDsl = $module($base, 'InlineMacroProcessorDsl');\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_InlineMacroProcessorDsl_with_format_41, TMP_InlineMacroProcessorDsl_matches_42;\n\n        \n        self.$include($$($nesting, 'MacroProcessorDsl'));\n        \n        Opal.def(self, '$with_format', TMP_InlineMacroProcessorDsl_with_format_41 = function $$with_format(value) {\n          var self = this;\n\n          return self.$option(\"format\", value)\n        }, TMP_InlineMacroProcessorDsl_with_format_41.$$arity = 1);\n        Opal.alias(self, \"using_format\", \"with_format\");\n        \n        Opal.def(self, '$matches', TMP_InlineMacroProcessorDsl_matches_42 = function $$matches(value) {\n          var self = this;\n\n          return self.$option(\"regexp\", value)\n        }, TMP_InlineMacroProcessorDsl_matches_42.$$arity = 1);\n        Opal.alias(self, \"match\", \"matches\");\n        Opal.alias(self, \"matching\", \"matches\");\n      })($nesting[0], $nesting);\n      Opal.const_set($$($nesting, 'InlineMacroProcessor'), 'DSL', $$($nesting, 'InlineMacroProcessorDsl'));\n      (function($base, $super, $parent_nesting) {\n        function $Extension(){};\n        var self = $Extension = $klass($base, $super, 'Extension', $Extension);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Extension_initialize_43;\n\n        \n        self.$attr_reader(\"kind\");\n        self.$attr_reader(\"config\");\n        self.$attr_reader(\"instance\");\n        return (Opal.def(self, '$initialize', TMP_Extension_initialize_43 = function $$initialize(kind, instance, config) {\n          var self = this;\n\n          \n          self.kind = kind;\n          self.instance = instance;\n          return (self.config = config);\n        }, TMP_Extension_initialize_43.$$arity = 3), nil) && 'initialize';\n      })($nesting[0], null, $nesting);\n      (function($base, $super, $parent_nesting) {\n        function $ProcessorExtension(){};\n        var self = $ProcessorExtension = $klass($base, $super, 'ProcessorExtension', $ProcessorExtension);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_ProcessorExtension_initialize_44;\n\n        \n        self.$attr_reader(\"process_method\");\n        return (Opal.def(self, '$initialize', TMP_ProcessorExtension_initialize_44 = function $$initialize(kind, instance, process_method) {\n          var $a, self = this, $iter = TMP_ProcessorExtension_initialize_44.$$p, $yield = $iter || nil;\n\n          if (process_method == null) {\n            process_method = nil;\n          }\n          if ($iter) TMP_ProcessorExtension_initialize_44.$$p = null;\n          \n          $send(self, Opal.find_super_dispatcher(self, 'initialize', TMP_ProcessorExtension_initialize_44, false), [kind, instance, instance.$config()], null);\n          return (self.process_method = ($truthy($a = process_method) ? $a : instance.$method(\"process\")));\n        }, TMP_ProcessorExtension_initialize_44.$$arity = -3), nil) && 'initialize';\n      })($nesting[0], $$($nesting, 'Extension'), $nesting);\n      (function($base, $super, $parent_nesting) {\n        function $Group(){};\n        var self = $Group = $klass($base, $super, 'Group', $Group);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Group_activate_46;\n\n        \n        (function(self, $parent_nesting) {\n          var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_register_45;\n\n          return (Opal.def(self, '$register', TMP_register_45 = function $$register(name) {\n            var self = this;\n\n            if (name == null) {\n              name = nil;\n            }\n            return $$($nesting, 'Extensions').$register(name, self)\n          }, TMP_register_45.$$arity = -1), nil) && 'register'\n        })(Opal.get_singleton_class(self), $nesting);\n        return (Opal.def(self, '$activate', TMP_Group_activate_46 = function $$activate(registry) {\n          var self = this;\n\n          return self.$raise($$$('::', 'NotImplementedError'))\n        }, TMP_Group_activate_46.$$arity = 1), nil) && 'activate';\n      })($nesting[0], null, $nesting);\n      (function($base, $super, $parent_nesting) {\n        function $Registry(){};\n        var self = $Registry = $klass($base, $super, 'Registry', $Registry);\n\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Registry_initialize_47, TMP_Registry_activate_49, TMP_Registry_preprocessor_50, TMP_Registry_preprocessors$q_51, TMP_Registry_preprocessors_52, TMP_Registry_tree_processor_53, TMP_Registry_tree_processors$q_54, TMP_Registry_tree_processors_55, TMP_Registry_postprocessor_56, TMP_Registry_postprocessors$q_57, TMP_Registry_postprocessors_58, TMP_Registry_include_processor_59, TMP_Registry_include_processors$q_60, TMP_Registry_include_processors_61, TMP_Registry_docinfo_processor_62, TMP_Registry_docinfo_processors$q_64, TMP_Registry_docinfo_processors_66, TMP_Registry_block_67, TMP_Registry_blocks$q_68, TMP_Registry_registered_for_block$q_69, TMP_Registry_find_block_extension_70, TMP_Registry_block_macro_71, TMP_Registry_block_macros$q_72, TMP_Registry_registered_for_block_macro$q_73, TMP_Registry_find_block_macro_extension_74, TMP_Registry_inline_macro_75, TMP_Registry_inline_macros$q_76, TMP_Registry_registered_for_inline_macro$q_77, TMP_Registry_find_inline_macro_extension_78, TMP_Registry_inline_macros_79, TMP_Registry_add_document_processor_80, TMP_Registry_add_syntax_processor_82, TMP_Registry_resolve_args_84, TMP_Registry_as_symbol_85;\n\n        def.groups = def.preprocessor_extensions = def.tree_processor_extensions = def.postprocessor_extensions = def.include_processor_extensions = def.docinfo_processor_extensions = def.block_extensions = def.block_macro_extensions = def.inline_macro_extensions = nil;\n        \n        self.$attr_reader(\"document\");\n        self.$attr_reader(\"groups\");\n        \n        Opal.def(self, '$initialize', TMP_Registry_initialize_47 = function $$initialize(groups) {\n          var self = this;\n\n          if (groups == null) {\n            groups = $hash2([], {});\n          }\n          \n          self.groups = groups;\n          self.preprocessor_extensions = (self.tree_processor_extensions = (self.postprocessor_extensions = (self.include_processor_extensions = (self.docinfo_processor_extensions = nil))));\n          self.block_extensions = (self.block_macro_extensions = (self.inline_macro_extensions = nil));\n          return (self.document = nil);\n        }, TMP_Registry_initialize_47.$$arity = -1);\n        \n        Opal.def(self, '$activate', TMP_Registry_activate_49 = function $$activate(document) {\n          var TMP_48, self = this;\n\n          \n          self.document = document;\n          $send($rb_plus($$($nesting, 'Extensions').$groups().$values(), self.groups.$values()), 'each', [], (TMP_48 = function(group){var self = TMP_48.$$s || this, $case = nil;\nif (group == null) group = nil;\n          return (function() {$case = group;\n            if ($$$('::', 'Proc')['$===']($case)) {return (function() {$case = group.$arity();\n            if ((0)['$===']($case) || (-1)['$===']($case)) {return $send(self, 'instance_exec', [], group.$to_proc())}\n            else if ((1)['$===']($case)) {return group.$call(self)}\n            else { return nil }})()}\n            else if ($$$('::', 'Class')['$===']($case)) {return group.$new().$activate(self)}\n            else {return group.$activate(self)}})()}, TMP_48.$$s = self, TMP_48.$$arity = 1, TMP_48));\n          return self;\n        }, TMP_Registry_activate_49.$$arity = 1);\n        \n        Opal.def(self, '$preprocessor', TMP_Registry_preprocessor_50 = function $$preprocessor($a_rest) {\n          var self = this, args, $iter = TMP_Registry_preprocessor_50.$$p, block = $iter || nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          if ($iter) TMP_Registry_preprocessor_50.$$p = null;\n          return $send(self, 'add_document_processor', [\"preprocessor\", args], block.$to_proc())\n        }, TMP_Registry_preprocessor_50.$$arity = -1);\n        \n        Opal.def(self, '$preprocessors?', TMP_Registry_preprocessors$q_51 = function() {\n          var self = this;\n\n          return self.preprocessor_extensions['$!']()['$!']()\n        }, TMP_Registry_preprocessors$q_51.$$arity = 0);\n        \n        Opal.def(self, '$preprocessors', TMP_Registry_preprocessors_52 = function $$preprocessors() {\n          var self = this;\n\n          return self.preprocessor_extensions\n        }, TMP_Registry_preprocessors_52.$$arity = 0);\n        \n        Opal.def(self, '$tree_processor', TMP_Registry_tree_processor_53 = function $$tree_processor($a_rest) {\n          var self = this, args, $iter = TMP_Registry_tree_processor_53.$$p, block = $iter || nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          if ($iter) TMP_Registry_tree_processor_53.$$p = null;\n          return $send(self, 'add_document_processor', [\"tree_processor\", args], block.$to_proc())\n        }, TMP_Registry_tree_processor_53.$$arity = -1);\n        \n        Opal.def(self, '$tree_processors?', TMP_Registry_tree_processors$q_54 = function() {\n          var self = this;\n\n          return self.tree_processor_extensions['$!']()['$!']()\n        }, TMP_Registry_tree_processors$q_54.$$arity = 0);\n        \n        Opal.def(self, '$tree_processors', TMP_Registry_tree_processors_55 = function $$tree_processors() {\n          var self = this;\n\n          return self.tree_processor_extensions\n        }, TMP_Registry_tree_processors_55.$$arity = 0);\n        Opal.alias(self, \"treeprocessor\", \"tree_processor\");\n        Opal.alias(self, \"treeprocessors?\", \"tree_processors?\");\n        Opal.alias(self, \"treeprocessors\", \"tree_processors\");\n        \n        Opal.def(self, '$postprocessor', TMP_Registry_postprocessor_56 = function $$postprocessor($a_rest) {\n          var self = this, args, $iter = TMP_Registry_postprocessor_56.$$p, block = $iter || nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          if ($iter) TMP_Registry_postprocessor_56.$$p = null;\n          return $send(self, 'add_document_processor', [\"postprocessor\", args], block.$to_proc())\n        }, TMP_Registry_postprocessor_56.$$arity = -1);\n        \n        Opal.def(self, '$postprocessors?', TMP_Registry_postprocessors$q_57 = function() {\n          var self = this;\n\n          return self.postprocessor_extensions['$!']()['$!']()\n        }, TMP_Registry_postprocessors$q_57.$$arity = 0);\n        \n        Opal.def(self, '$postprocessors', TMP_Registry_postprocessors_58 = function $$postprocessors() {\n          var self = this;\n\n          return self.postprocessor_extensions\n        }, TMP_Registry_postprocessors_58.$$arity = 0);\n        \n        Opal.def(self, '$include_processor', TMP_Registry_include_processor_59 = function $$include_processor($a_rest) {\n          var self = this, args, $iter = TMP_Registry_include_processor_59.$$p, block = $iter || nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          if ($iter) TMP_Registry_include_processor_59.$$p = null;\n          return $send(self, 'add_document_processor', [\"include_processor\", args], block.$to_proc())\n        }, TMP_Registry_include_processor_59.$$arity = -1);\n        \n        Opal.def(self, '$include_processors?', TMP_Registry_include_processors$q_60 = function() {\n          var self = this;\n\n          return self.include_processor_extensions['$!']()['$!']()\n        }, TMP_Registry_include_processors$q_60.$$arity = 0);\n        \n        Opal.def(self, '$include_processors', TMP_Registry_include_processors_61 = function $$include_processors() {\n          var self = this;\n\n          return self.include_processor_extensions\n        }, TMP_Registry_include_processors_61.$$arity = 0);\n        \n        Opal.def(self, '$docinfo_processor', TMP_Registry_docinfo_processor_62 = function $$docinfo_processor($a_rest) {\n          var self = this, args, $iter = TMP_Registry_docinfo_processor_62.$$p, block = $iter || nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          if ($iter) TMP_Registry_docinfo_processor_62.$$p = null;\n          return $send(self, 'add_document_processor', [\"docinfo_processor\", args], block.$to_proc())\n        }, TMP_Registry_docinfo_processor_62.$$arity = -1);\n        \n        Opal.def(self, '$docinfo_processors?', TMP_Registry_docinfo_processors$q_64 = function(location) {\n          var TMP_63, self = this;\n\n          if (location == null) {\n            location = nil;\n          }\n          if ($truthy(self.docinfo_processor_extensions)) {\n            if ($truthy(location)) {\n              return $send(self.docinfo_processor_extensions, 'any?', [], (TMP_63 = function(ext){var self = TMP_63.$$s || this;\nif (ext == null) ext = nil;\n              return ext.$config()['$[]'](\"location\")['$=='](location)}, TMP_63.$$s = self, TMP_63.$$arity = 1, TMP_63))\n            } else {\n              return true\n            }\n          } else {\n            return false\n          }\n        }, TMP_Registry_docinfo_processors$q_64.$$arity = -1);\n        \n        Opal.def(self, '$docinfo_processors', TMP_Registry_docinfo_processors_66 = function $$docinfo_processors(location) {\n          var TMP_65, self = this;\n\n          if (location == null) {\n            location = nil;\n          }\n          if ($truthy(self.docinfo_processor_extensions)) {\n            if ($truthy(location)) {\n              return $send(self.docinfo_processor_extensions, 'select', [], (TMP_65 = function(ext){var self = TMP_65.$$s || this;\nif (ext == null) ext = nil;\n              return ext.$config()['$[]'](\"location\")['$=='](location)}, TMP_65.$$s = self, TMP_65.$$arity = 1, TMP_65))\n            } else {\n              return self.docinfo_processor_extensions\n            }\n          } else {\n            return nil\n          }\n        }, TMP_Registry_docinfo_processors_66.$$arity = -1);\n        \n        Opal.def(self, '$block', TMP_Registry_block_67 = function $$block($a_rest) {\n          var self = this, args, $iter = TMP_Registry_block_67.$$p, block = $iter || nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          if ($iter) TMP_Registry_block_67.$$p = null;\n          return $send(self, 'add_syntax_processor', [\"block\", args], block.$to_proc())\n        }, TMP_Registry_block_67.$$arity = -1);\n        \n        Opal.def(self, '$blocks?', TMP_Registry_blocks$q_68 = function() {\n          var self = this;\n\n          return self.block_extensions['$!']()['$!']()\n        }, TMP_Registry_blocks$q_68.$$arity = 0);\n        \n        Opal.def(self, '$registered_for_block?', TMP_Registry_registered_for_block$q_69 = function(name, context) {\n          var self = this, ext = nil;\n\n          if ($truthy((ext = self.block_extensions['$[]'](name.$to_sym())))) {\n            if ($truthy(ext.$config()['$[]'](\"contexts\")['$include?'](context))) {\n              return ext\n            } else {\n              return false\n            }\n          } else {\n            return false\n          }\n        }, TMP_Registry_registered_for_block$q_69.$$arity = 2);\n        \n        Opal.def(self, '$find_block_extension', TMP_Registry_find_block_extension_70 = function $$find_block_extension(name) {\n          var self = this;\n\n          return self.block_extensions['$[]'](name.$to_sym())\n        }, TMP_Registry_find_block_extension_70.$$arity = 1);\n        \n        Opal.def(self, '$block_macro', TMP_Registry_block_macro_71 = function $$block_macro($a_rest) {\n          var self = this, args, $iter = TMP_Registry_block_macro_71.$$p, block = $iter || nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          if ($iter) TMP_Registry_block_macro_71.$$p = null;\n          return $send(self, 'add_syntax_processor', [\"block_macro\", args], block.$to_proc())\n        }, TMP_Registry_block_macro_71.$$arity = -1);\n        \n        Opal.def(self, '$block_macros?', TMP_Registry_block_macros$q_72 = function() {\n          var self = this;\n\n          return self.block_macro_extensions['$!']()['$!']()\n        }, TMP_Registry_block_macros$q_72.$$arity = 0);\n        \n        Opal.def(self, '$registered_for_block_macro?', TMP_Registry_registered_for_block_macro$q_73 = function(name) {\n          var self = this, ext = nil;\n\n          if ($truthy((ext = self.block_macro_extensions['$[]'](name.$to_sym())))) {\n            return ext\n          } else {\n            return false\n          }\n        }, TMP_Registry_registered_for_block_macro$q_73.$$arity = 1);\n        \n        Opal.def(self, '$find_block_macro_extension', TMP_Registry_find_block_macro_extension_74 = function $$find_block_macro_extension(name) {\n          var self = this;\n\n          return self.block_macro_extensions['$[]'](name.$to_sym())\n        }, TMP_Registry_find_block_macro_extension_74.$$arity = 1);\n        \n        Opal.def(self, '$inline_macro', TMP_Registry_inline_macro_75 = function $$inline_macro($a_rest) {\n          var self = this, args, $iter = TMP_Registry_inline_macro_75.$$p, block = $iter || nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          if ($iter) TMP_Registry_inline_macro_75.$$p = null;\n          return $send(self, 'add_syntax_processor', [\"inline_macro\", args], block.$to_proc())\n        }, TMP_Registry_inline_macro_75.$$arity = -1);\n        \n        Opal.def(self, '$inline_macros?', TMP_Registry_inline_macros$q_76 = function() {\n          var self = this;\n\n          return self.inline_macro_extensions['$!']()['$!']()\n        }, TMP_Registry_inline_macros$q_76.$$arity = 0);\n        \n        Opal.def(self, '$registered_for_inline_macro?', TMP_Registry_registered_for_inline_macro$q_77 = function(name) {\n          var self = this, ext = nil;\n\n          if ($truthy((ext = self.inline_macro_extensions['$[]'](name.$to_sym())))) {\n            return ext\n          } else {\n            return false\n          }\n        }, TMP_Registry_registered_for_inline_macro$q_77.$$arity = 1);\n        \n        Opal.def(self, '$find_inline_macro_extension', TMP_Registry_find_inline_macro_extension_78 = function $$find_inline_macro_extension(name) {\n          var self = this;\n\n          return self.inline_macro_extensions['$[]'](name.$to_sym())\n        }, TMP_Registry_find_inline_macro_extension_78.$$arity = 1);\n        \n        Opal.def(self, '$inline_macros', TMP_Registry_inline_macros_79 = function $$inline_macros() {\n          var self = this;\n\n          return self.inline_macro_extensions.$values()\n        }, TMP_Registry_inline_macros_79.$$arity = 0);\n        self.$private();\n        \n        Opal.def(self, '$add_document_processor', TMP_Registry_add_document_processor_80 = function $$add_document_processor(kind, args) {\n          var TMP_81, $a, $b, $c, self = this, $iter = TMP_Registry_add_document_processor_80.$$p, block = $iter || nil, kind_name = nil, kind_class_symbol = nil, kind_class = nil, kind_java_class = nil, kind_store = nil, extension = nil, config = nil, processor = nil, processor_class = nil, processor_instance = nil;\n\n          if ($iter) TMP_Registry_add_document_processor_80.$$p = null;\n          \n          kind_name = kind.$to_s().$tr(\"_\", \" \");\n          kind_class_symbol = $send(kind_name.$split(), 'map', [], (TMP_81 = function(it){var self = TMP_81.$$s || this;\nif (it == null) it = nil;\n          return it.$capitalize()}, TMP_81.$$s = self, TMP_81.$$arity = 1, TMP_81)).$join().$to_sym();\n          kind_class = $$($nesting, 'Extensions').$const_get(kind_class_symbol);\n          kind_java_class = (function() {if ($truthy((($a = $$$('::', 'AsciidoctorJ', 'skip_raise')) ? 'constant' : nil))) {\n            \n            return $$$($$$('::', 'AsciidoctorJ'), 'Extensions').$const_get(kind_class_symbol);\n          } else {\n            return nil\n          }; return nil; })();\n          kind_store = ($truthy($b = self.$instance_variable_get((((\"\" + \"@\") + (kind)) + \"_extensions\").$to_sym())) ? $b : self.$instance_variable_set((((\"\" + \"@\") + (kind)) + \"_extensions\").$to_sym(), []));\n          extension = (function() {if ((block !== nil)) {\n            \n            config = self.$resolve_args(args, 1);\n            processor = kind_class.$new(config);\n            if ($truthy(kind_class.$constants().$grep(\"DSL\"))) {\n              processor.$extend(kind_class.$const_get(\"DSL\"))};\n            $send(processor, 'instance_exec', [], block.$to_proc());\n            processor.$freeze();\n            if ($truthy(processor['$process_block_given?']())) {\n            } else {\n              self.$raise($$$('::', 'ArgumentError'), \"\" + \"No block specified to process \" + (kind_name) + \" extension at \" + (block.$source_location()))\n            };\n            return $$($nesting, 'ProcessorExtension').$new(kind, processor);\n          } else {\n            \n            $c = self.$resolve_args(args, 2), $b = Opal.to_ary($c), (processor = ($b[0] == null ? nil : $b[0])), (config = ($b[1] == null ? nil : $b[1])), $c;\n            if ($truthy((processor_class = $$($nesting, 'Extensions').$resolve_class(processor)))) {\n              \n              if ($truthy(($truthy($b = $rb_lt(processor_class, kind_class)) ? $b : ($truthy($c = kind_java_class) ? $rb_lt(processor_class, kind_java_class) : $c)))) {\n              } else {\n                self.$raise($$$('::', 'ArgumentError'), \"\" + \"Invalid type for \" + (kind_name) + \" extension: \" + (processor))\n              };\n              processor_instance = processor_class.$new(config);\n              processor_instance.$freeze();\n              return $$($nesting, 'ProcessorExtension').$new(kind, processor_instance);\n            } else if ($truthy(($truthy($b = kind_class['$==='](processor)) ? $b : ($truthy($c = kind_java_class) ? kind_java_class['$==='](processor) : $c)))) {\n              \n              processor.$update_config(config);\n              processor.$freeze();\n              return $$($nesting, 'ProcessorExtension').$new(kind, processor);\n            } else {\n              return self.$raise($$$('::', 'ArgumentError'), \"\" + \"Invalid arguments specified for registering \" + (kind_name) + \" extension: \" + (args))\n            };\n          }; return nil; })();\n          if (extension.$config()['$[]'](\"position\")['$=='](\">>\")) {\n            return kind_store.$unshift(extension)\n          } else {\n            return kind_store['$<<'](extension)\n          };\n        }, TMP_Registry_add_document_processor_80.$$arity = 2);\n        \n        Opal.def(self, '$add_syntax_processor', TMP_Registry_add_syntax_processor_82 = function $$add_syntax_processor(kind, args) {\n          var TMP_83, $a, $b, $c, self = this, $iter = TMP_Registry_add_syntax_processor_82.$$p, block = $iter || nil, kind_name = nil, kind_class_symbol = nil, kind_class = nil, kind_java_class = nil, kind_store = nil, name = nil, config = nil, processor = nil, $writer = nil, processor_class = nil, processor_instance = nil;\n\n          if ($iter) TMP_Registry_add_syntax_processor_82.$$p = null;\n          \n          kind_name = kind.$to_s().$tr(\"_\", \" \");\n          kind_class_symbol = $send(kind_name.$split(), 'map', [], (TMP_83 = function(it){var self = TMP_83.$$s || this;\nif (it == null) it = nil;\n          return it.$capitalize()}, TMP_83.$$s = self, TMP_83.$$arity = 1, TMP_83)).$push(\"Processor\").$join().$to_sym();\n          kind_class = $$($nesting, 'Extensions').$const_get(kind_class_symbol);\n          kind_java_class = (function() {if ($truthy((($a = $$$('::', 'AsciidoctorJ', 'skip_raise')) ? 'constant' : nil))) {\n            \n            return $$$($$$('::', 'AsciidoctorJ'), 'Extensions').$const_get(kind_class_symbol);\n          } else {\n            return nil\n          }; return nil; })();\n          kind_store = ($truthy($b = self.$instance_variable_get((((\"\" + \"@\") + (kind)) + \"_extensions\").$to_sym())) ? $b : self.$instance_variable_set((((\"\" + \"@\") + (kind)) + \"_extensions\").$to_sym(), $hash2([], {})));\n          if ((block !== nil)) {\n            \n            $c = self.$resolve_args(args, 2), $b = Opal.to_ary($c), (name = ($b[0] == null ? nil : $b[0])), (config = ($b[1] == null ? nil : $b[1])), $c;\n            processor = kind_class.$new(self.$as_symbol(name), config);\n            if ($truthy(kind_class.$constants().$grep(\"DSL\"))) {\n              processor.$extend(kind_class.$const_get(\"DSL\"))};\n            if (block.$arity()['$=='](1)) {\n              Opal.yield1(block, processor)\n            } else {\n              $send(processor, 'instance_exec', [], block.$to_proc())\n            };\n            if ($truthy((name = self.$as_symbol(processor.$name())))) {\n            } else {\n              self.$raise($$$('::', 'ArgumentError'), \"\" + \"No name specified for \" + (kind_name) + \" extension at \" + (block.$source_location()))\n            };\n            if ($truthy(processor['$process_block_given?']())) {\n            } else {\n              self.$raise($$$('::', 'NoMethodError'), \"\" + \"No block specified to process \" + (kind_name) + \" extension at \" + (block.$source_location()))\n            };\n            processor.$freeze();\n            \n            $writer = [name, $$($nesting, 'ProcessorExtension').$new(kind, processor)];\n            $send(kind_store, '[]=', Opal.to_a($writer));\n            return $writer[$rb_minus($writer[\"length\"], 1)];;\n          } else {\n            \n            $c = self.$resolve_args(args, 3), $b = Opal.to_ary($c), (processor = ($b[0] == null ? nil : $b[0])), (name = ($b[1] == null ? nil : $b[1])), (config = ($b[2] == null ? nil : $b[2])), $c;\n            if ($truthy((processor_class = $$($nesting, 'Extensions').$resolve_class(processor)))) {\n              \n              if ($truthy(($truthy($b = $rb_lt(processor_class, kind_class)) ? $b : ($truthy($c = kind_java_class) ? $rb_lt(processor_class, kind_java_class) : $c)))) {\n              } else {\n                self.$raise($$$('::', 'ArgumentError'), \"\" + \"Class specified for \" + (kind_name) + \" extension does not inherit from \" + (kind_class) + \": \" + (processor))\n              };\n              processor_instance = processor_class.$new(self.$as_symbol(name), config);\n              if ($truthy((name = self.$as_symbol(processor_instance.$name())))) {\n              } else {\n                self.$raise($$$('::', 'ArgumentError'), \"\" + \"No name specified for \" + (kind_name) + \" extension: \" + (processor))\n              };\n              processor_instance.$freeze();\n              \n              $writer = [name, $$($nesting, 'ProcessorExtension').$new(kind, processor_instance)];\n              $send(kind_store, '[]=', Opal.to_a($writer));\n              return $writer[$rb_minus($writer[\"length\"], 1)];;\n            } else if ($truthy(($truthy($b = kind_class['$==='](processor)) ? $b : ($truthy($c = kind_java_class) ? kind_java_class['$==='](processor) : $c)))) {\n              \n              processor.$update_config(config);\n              if ($truthy((name = (function() {if ($truthy(name)) {\n                \n                \n                $writer = [self.$as_symbol(name)];\n                $send(processor, 'name=', Opal.to_a($writer));\n                return $writer[$rb_minus($writer[\"length\"], 1)];;\n              } else {\n                \n                return self.$as_symbol(processor.$name());\n              }; return nil; })()))) {\n              } else {\n                self.$raise($$$('::', 'ArgumentError'), \"\" + \"No name specified for \" + (kind_name) + \" extension: \" + (processor))\n              };\n              processor.$freeze();\n              \n              $writer = [name, $$($nesting, 'ProcessorExtension').$new(kind, processor)];\n              $send(kind_store, '[]=', Opal.to_a($writer));\n              return $writer[$rb_minus($writer[\"length\"], 1)];;\n            } else {\n              return self.$raise($$$('::', 'ArgumentError'), \"\" + \"Invalid arguments specified for registering \" + (kind_name) + \" extension: \" + (args))\n            };\n          };\n        }, TMP_Registry_add_syntax_processor_82.$$arity = 2);\n        \n        Opal.def(self, '$resolve_args', TMP_Registry_resolve_args_84 = function $$resolve_args(args, expect) {\n          var self = this, opts = nil, missing = nil;\n\n          \n          opts = (function() {if ($truthy($$$('::', 'Hash')['$==='](args['$[]'](-1)))) {\n            return args.$pop()\n          } else {\n            return $hash2([], {})\n          }; return nil; })();\n          if (expect['$=='](1)) {\n            return opts};\n          if ($truthy($rb_gt((missing = $rb_minus($rb_minus(expect, 1), args.$size())), 0))) {\n            args = $rb_plus(args, $$$('::', 'Array').$new(missing))\n          } else if ($truthy($rb_lt(missing, 0))) {\n            args.$pop(missing['$-@']())};\n          args['$<<'](opts);\n          return args;\n        }, TMP_Registry_resolve_args_84.$$arity = 2);\n        return (Opal.def(self, '$as_symbol', TMP_Registry_as_symbol_85 = function $$as_symbol(name) {\n          var self = this;\n\n          if ($truthy(name)) {\n            return name.$to_sym()\n          } else {\n            return nil\n          }\n        }, TMP_Registry_as_symbol_85.$$arity = 1), nil) && 'as_symbol';\n      })($nesting[0], null, $nesting);\n      (function(self, $parent_nesting) {\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_generate_name_86, TMP_next_auto_id_87, TMP_groups_88, TMP_create_89, TMP_register_90, TMP_unregister_all_91, TMP_unregister_93, TMP_resolve_class_94, TMP_class_for_name_96;\n\n        \n        \n        Opal.def(self, '$generate_name', TMP_generate_name_86 = function $$generate_name() {\n          var self = this;\n\n          return \"\" + \"extgrp\" + (self.$next_auto_id())\n        }, TMP_generate_name_86.$$arity = 0);\n        \n        Opal.def(self, '$next_auto_id', TMP_next_auto_id_87 = function $$next_auto_id() {\n          var $a, self = this;\n          if (self.auto_id == null) self.auto_id = nil;\n\n          \n          self.auto_id = ($truthy($a = self.auto_id) ? $a : -1);\n          return (self.auto_id = $rb_plus(self.auto_id, 1));\n        }, TMP_next_auto_id_87.$$arity = 0);\n        \n        Opal.def(self, '$groups', TMP_groups_88 = function $$groups() {\n          var $a, self = this;\n          if (self.groups == null) self.groups = nil;\n\n          return (self.groups = ($truthy($a = self.groups) ? $a : $hash2([], {})))\n        }, TMP_groups_88.$$arity = 0);\n        \n        Opal.def(self, '$create', TMP_create_89 = function $$create(name) {\n          var $a, self = this, $iter = TMP_create_89.$$p, block = $iter || nil;\n\n          if (name == null) {\n            name = nil;\n          }\n          if ($iter) TMP_create_89.$$p = null;\n          if ((block !== nil)) {\n            return $$($nesting, 'Registry').$new($hash(($truthy($a = name) ? $a : self.$generate_name()), block))\n          } else {\n            return $$($nesting, 'Registry').$new()\n          }\n        }, TMP_create_89.$$arity = -1);\n        Opal.alias(self, \"build_registry\", \"create\");\n        \n        Opal.def(self, '$register', TMP_register_90 = function $$register($a_rest) {\n          var $b, self = this, args, $iter = TMP_register_90.$$p, block = $iter || nil, argc = nil, resolved_group = nil, group = nil, name = nil, $writer = nil;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          args = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            args[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          if ($iter) TMP_register_90.$$p = null;\n          \n          argc = args.$size();\n          if ((block !== nil)) {\n            resolved_group = block\n          } else if ($truthy((group = args.$pop()))) {\n            resolved_group = ($truthy($b = self.$resolve_class(group)) ? $b : group)\n          } else {\n            self.$raise($$$('::', 'ArgumentError'), \"Extension group to register not specified\")\n          };\n          name = ($truthy($b = args.$pop()) ? $b : self.$generate_name());\n          if ($truthy(args['$empty?']())) {\n          } else {\n            self.$raise($$$('::', 'ArgumentError'), \"\" + \"Wrong number of arguments (\" + (argc) + \" for 1..2)\")\n          };\n          \n          $writer = [name.$to_sym(), resolved_group];\n          $send(self.$groups(), '[]=', Opal.to_a($writer));\n          return $writer[$rb_minus($writer[\"length\"], 1)];;\n        }, TMP_register_90.$$arity = -1);\n        \n        Opal.def(self, '$unregister_all', TMP_unregister_all_91 = function $$unregister_all() {\n          var self = this;\n\n          \n          self.groups = $hash2([], {});\n          return nil;\n        }, TMP_unregister_all_91.$$arity = 0);\n        \n        Opal.def(self, '$unregister', TMP_unregister_93 = function $$unregister($a_rest) {\n          var TMP_92, self = this, names;\n\n          var $args_len = arguments.length, $rest_len = $args_len - 0;\n          if ($rest_len < 0) { $rest_len = 0; }\n          names = new Array($rest_len);\n          for (var $arg_idx = 0; $arg_idx < $args_len; $arg_idx++) {\n            names[$arg_idx - 0] = arguments[$arg_idx];\n          }\n          \n          $send(names, 'each', [], (TMP_92 = function(group){var self = TMP_92.$$s || this;\n            if (self.groups == null) self.groups = nil;\nif (group == null) group = nil;\n          return self.groups.$delete(group.$to_sym())}, TMP_92.$$s = self, TMP_92.$$arity = 1, TMP_92));\n          return nil;\n        }, TMP_unregister_93.$$arity = -1);\n        \n        Opal.def(self, '$resolve_class', TMP_resolve_class_94 = function $$resolve_class(object) {\n          var self = this, $case = nil;\n\n          return (function() {$case = object;\n          if ($$$('::', 'Class')['$===']($case)) {return object}\n          else if ($$$('::', 'String')['$===']($case)) {return self.$class_for_name(object)}\n          else { return nil }})()\n        }, TMP_resolve_class_94.$$arity = 1);\n        return (Opal.def(self, '$class_for_name', TMP_class_for_name_96 = function $$class_for_name(qualified_name) {\n          var TMP_95, self = this, resolved = nil;\n\n          \n          resolved = $$$('::', 'Object');\n          $send(qualified_name.$split(\"::\"), 'each', [], (TMP_95 = function(name){var self = TMP_95.$$s || this, $a, $b;\nif (name == null) name = nil;\n          if ($truthy(($truthy($a = name['$empty?']()) ? $a : ($truthy($b = resolved['$const_defined?'](name)) ? $$$('::', 'Module')['$===']((resolved = resolved.$const_get(name))) : $b)))) {\n              return nil\n            } else {\n              return self.$raise($$$('::', 'NameError'), \"\" + \"Could not resolve class for name: \" + (qualified_name))\n            }}, TMP_95.$$s = self, TMP_95.$$arity = 1, TMP_95));\n          if ($truthy($$$('::', 'Class')['$==='](resolved))) {\n          } else {\n            self.$raise($$$('::', 'NameError'), \"\" + \"Could not resolve class for name: \" + (qualified_name))\n          };\n          return resolved;\n        }, TMP_class_for_name_96.$$arity = 1), nil) && 'class_for_name';\n      })(Opal.get_singleton_class(self), $nesting);\n    })($nesting[0], $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/js/opal_ext/browser/reader\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $module = Opal.module, $klass = Opal.klass, $truthy = Opal.truthy;\n\n  Opal.add_stubs(['$posixify', '$new', '$base_dir', '$start_with?', '$uriish?', '$descends_from?', '$key?', '$attributes', '$replace_next_line', '$absolute_path?', '$==', '$empty?', '$!', '$slice', '$length']);\n  return (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n    (function($base, $super, $parent_nesting) {\n      function $PreprocessorReader(){};\n      var self = $PreprocessorReader = $klass($base, $super, 'PreprocessorReader', $PreprocessorReader);\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_PreprocessorReader_resolve_include_path_1;\n\n      def.path_resolver = def.document = def.include_stack = def.dir = nil;\n      return (Opal.def(self, '$resolve_include_path', TMP_PreprocessorReader_resolve_include_path_1 = function $$resolve_include_path(target, attrlist, attributes) {\n        var $a, self = this, p_target = nil, target_type = nil, base_dir = nil, inc_path = nil, relpath = nil, ctx_dir = nil, top_level = nil, offset = nil;\n\n        \n        p_target = (self.path_resolver = ($truthy($a = self.path_resolver) ? $a : $$($nesting, 'PathResolver').$new(\"\\\\\"))).$posixify(target);\n        $a = [\"file\", self.document.$base_dir()], (target_type = $a[0]), (base_dir = $a[1]), $a;\n        if ($truthy(p_target['$start_with?'](\"file://\"))) {\n          inc_path = (relpath = p_target)\n        } else if ($truthy($$($nesting, 'Helpers')['$uriish?'](p_target))) {\n          \n          if ($truthy(($truthy($a = self.path_resolver['$descends_from?'](p_target, base_dir)) ? $a : self.document.$attributes()['$key?'](\"allow-uri-read\")))) {\n          } else {\n            return self.$replace_next_line(\"\" + \"link:\" + (target) + \"[\" + (attrlist) + \"]\")\n          };\n          inc_path = (relpath = p_target);\n        } else if ($truthy(self.path_resolver['$absolute_path?'](p_target))) {\n          inc_path = (relpath = \"\" + \"file://\" + ((function() {if ($truthy(p_target['$start_with?'](\"/\"))) {\n            return \"\"\n          } else {\n            return \"/\"\n          }; return nil; })()) + (p_target))\n        } else if ((ctx_dir = (function() {if ($truthy((top_level = self.include_stack['$empty?']()))) {\n          return base_dir\n        } else {\n          return self.dir\n        }; return nil; })())['$=='](\".\")) {\n          inc_path = (relpath = p_target)\n        } else if ($truthy(($truthy($a = ctx_dir['$start_with?'](\"file://\")) ? $a : $$($nesting, 'Helpers')['$uriish?'](ctx_dir)['$!']()))) {\n          \n          inc_path = \"\" + (ctx_dir) + \"/\" + (p_target);\n          if ($truthy(top_level)) {\n            relpath = p_target\n          } else if ($truthy(($truthy($a = base_dir['$=='](\".\")) ? $a : (offset = self.path_resolver['$descends_from?'](inc_path, base_dir))['$!']()))) {\n            relpath = inc_path\n          } else {\n            relpath = inc_path.$slice(offset, inc_path.$length())\n          };\n        } else if ($truthy(top_level)) {\n          inc_path = \"\" + (ctx_dir) + \"/\" + ((relpath = p_target))\n        } else if ($truthy(($truthy($a = (offset = self.path_resolver['$descends_from?'](ctx_dir, base_dir))) ? $a : self.document.$attributes()['$key?'](\"allow-uri-read\")))) {\n          \n          inc_path = \"\" + (ctx_dir) + \"/\" + (p_target);\n          relpath = (function() {if ($truthy(offset)) {\n            \n            return inc_path.$slice(offset, inc_path.$length());\n          } else {\n            return p_target\n          }; return nil; })();\n        } else {\n          return self.$replace_next_line(\"\" + \"link:\" + (target) + \"[\" + (attrlist) + \"]\")\n        };\n        return [inc_path, \"file\", relpath];\n      }, TMP_PreprocessorReader_resolve_include_path_1.$$arity = 3), nil) && 'resolve_include_path'\n    })($nesting[0], $$($nesting, 'Reader'), $nesting)\n  })($nesting[0], $nesting)\n};\n\n/* Generated by Opal 0.11.1.dev */\nOpal.modules[\"asciidoctor/js/postscript\"] = function(Opal) {\n  var self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice;\n\n  Opal.add_stubs(['$require', '$==']);\n  \n  self.$require(\"asciidoctor/converter/composite\");\n  self.$require(\"asciidoctor/converter/html5\");\n  self.$require(\"asciidoctor/extensions\");\n  if ($$($nesting, 'JAVASCRIPT_IO_MODULE')['$=='](\"xmlhttprequest\")) {\n    return self.$require(\"asciidoctor/js/opal_ext/browser/reader\")\n  } else {\n    return nil\n  };\n};\n\n/* Generated by Opal 0.11.1.dev */\n(function(Opal) {\n  function $rb_ge(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs >= rhs : lhs['$>='](rhs);\n  }\n  function $rb_minus(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs - rhs : lhs['$-'](rhs);\n  }\n  function $rb_times(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs * rhs : lhs['$*'](rhs);\n  }\n  function $rb_lt(lhs, rhs) {\n    return (typeof(lhs) === 'number' && typeof(rhs) === 'number') ? lhs < rhs : lhs['$<'](rhs);\n  }\n  var $a, self = Opal.top, $nesting = [], nil = Opal.nil, $$$ = Opal.const_get_qualified, $$ = Opal.const_get_relative, $breaker = Opal.breaker, $slice = Opal.slice, $truthy = Opal.truthy, $gvars = Opal.gvars, $module = Opal.module, $hash2 = Opal.hash2, $send = Opal.send, $hash = Opal.hash;\n  if ($gvars[\":\"] == null) $gvars[\":\"] = nil;\n\n  Opal.add_stubs(['$==', '$>=', '$require', '$unshift', '$dirname', '$each', '$constants', '$const_get', '$downcase', '$to_s', '$[]=', '$-', '$upcase', '$[]', '$values', '$new', '$attr_reader', '$instance_variable_set', '$send', '$<<', '$define', '$expand_path', '$join', '$home', '$pwd', '$!', '$!=', '$default_external', '$to_set', '$map', '$keys', '$slice', '$merge', '$inject', '$*', '$to_a', '$dup', '$insert', '$start', '$===', '$split', '$gsub', '$respond_to?', '$raise', '$ancestors', '$class', '$path', '$utc', '$at', '$Integer', '$mtime', '$readlines', '$basename', '$extname', '$index', '$strftime', '$year', '$rewind', '$lines', '$each_line', '$record', '$parse', '$exception', '$message', '$set_backtrace', '$backtrace', '$stack_trace', '$stack_trace=', '$open', '$load', '$delete', '$key?', '$attributes', '$outfilesuffix', '$safe', '$normalize_system_path', '$directory?', '$mkdir_p', '$convert', '$write', '$<', '$attr?', '$attr', '$uriish?', '$include?', '$write_primary_stylesheet', '$instance', '$empty?', '$read_asset', '$file?', '$write_coderay_stylesheet', '$write_pygments_stylesheet']);\n  \n  if ($truthy((($a = $$($nesting, 'RUBY_ENGINE', 'skip_raise')) ? 'constant' : nil))) {\n  } else {\n    Opal.const_set($nesting[0], 'RUBY_ENGINE', \"unknown\")\n  };\n  Opal.const_set($nesting[0], 'RUBY_ENGINE_OPAL', $$($nesting, 'RUBY_ENGINE')['$=='](\"opal\"));\n  Opal.const_set($nesting[0], 'RUBY_ENGINE_JRUBY', $$($nesting, 'RUBY_ENGINE')['$=='](\"jruby\"));\n  Opal.const_set($nesting[0], 'RUBY_MIN_VERSION_1_9', $rb_ge($$($nesting, 'RUBY_VERSION'), \"1.9\"));\n  Opal.const_set($nesting[0], 'RUBY_MIN_VERSION_2', $rb_ge($$($nesting, 'RUBY_VERSION'), \"2\"));\n  self.$require(\"set\");\n  if ($$($nesting, 'RUBY_ENGINE')['$=='](\"opal\")) {\n    self.$require(\"asciidoctor/js\")\n  } else {\n    nil\n  };\n  $gvars[\":\"].$unshift($$($nesting, 'File').$dirname(\"asciidoctor\"));\n  (function($base, $parent_nesting) {\n    var $Asciidoctor, self = $Asciidoctor = $module($base, 'Asciidoctor');\n\n    var def = self.$$proto, $nesting = [self].concat($parent_nesting), $a, TMP_Asciidoctor_6, TMP_Asciidoctor_7, quote_subs = nil, compat_quote_subs = nil, $writer = nil;\n\n    \n    Opal.const_set($nesting[0], 'RUBY_ENGINE', $$$('::', 'RUBY_ENGINE'));\n    (function($base, $parent_nesting) {\n      var $SafeMode, self = $SafeMode = $module($base, 'SafeMode');\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_SafeMode_1, TMP_SafeMode_value_for_name_2, TMP_SafeMode_name_for_value_3, TMP_SafeMode_names_4, rec = nil;\n\n      \n      Opal.const_set($nesting[0], 'UNSAFE', 0);\n      Opal.const_set($nesting[0], 'SAFE', 1);\n      Opal.const_set($nesting[0], 'SERVER', 10);\n      Opal.const_set($nesting[0], 'SECURE', 20);\n      rec = $hash2([], {});\n      $send((Opal.Module.$$nesting = $nesting, self.$constants()), 'each', [], (TMP_SafeMode_1 = function(sym){var self = TMP_SafeMode_1.$$s || this, $writer = nil;\nif (sym == null) sym = nil;\n      \n        $writer = [self.$const_get(sym), sym.$to_s().$downcase()];\n        $send(rec, '[]=', Opal.to_a($writer));\n        return $writer[$rb_minus($writer[\"length\"], 1)];}, TMP_SafeMode_1.$$s = self, TMP_SafeMode_1.$$arity = 1, TMP_SafeMode_1));\n      self.names_by_value = rec;\n      Opal.defs(self, '$value_for_name', TMP_SafeMode_value_for_name_2 = function $$value_for_name(name) {\n        var self = this;\n\n        return self.$const_get(name.$upcase())\n      }, TMP_SafeMode_value_for_name_2.$$arity = 1);\n      Opal.defs(self, '$name_for_value', TMP_SafeMode_name_for_value_3 = function $$name_for_value(value) {\n        var self = this;\n        if (self.names_by_value == null) self.names_by_value = nil;\n\n        return self.names_by_value['$[]'](value)\n      }, TMP_SafeMode_name_for_value_3.$$arity = 1);\n      Opal.defs(self, '$names', TMP_SafeMode_names_4 = function $$names() {\n        var self = this;\n        if (self.names_by_value == null) self.names_by_value = nil;\n\n        return self.names_by_value.$values()\n      }, TMP_SafeMode_names_4.$$arity = 0);\n    })($nesting[0], $nesting);\n    (function($base, $parent_nesting) {\n      var $Compliance, self = $Compliance = $module($base, 'Compliance');\n\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_Compliance_define_5;\n\n      \n      self.keys = $$$('::', 'Set').$new();\n      (function(self, $parent_nesting) {\n        var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n        return self.$attr_reader(\"keys\")\n      })(Opal.get_singleton_class(self), $nesting);\n      Opal.defs(self, '$define', TMP_Compliance_define_5 = function $$define(key, value) {\n        var self = this;\n        if (self.keys == null) self.keys = nil;\n\n        \n        self.$instance_variable_set(\"\" + \"@\" + (key), value);\n        (function(self, $parent_nesting) {\n          var def = self.$$proto, $nesting = [self].concat($parent_nesting);\n\n          return self\n        })(Opal.get_singleton_class(self), $nesting).$send(\"attr_accessor\", key);\n        self.keys['$<<'](key);\n        return nil;\n      }, TMP_Compliance_define_5.$$arity = 2);\n      self.$define(\"block_terminates_paragraph\", true);\n      self.$define(\"strict_verbatim_paragraphs\", true);\n      self.$define(\"underline_style_section_titles\", true);\n      self.$define(\"unwrap_standalone_preamble\", true);\n      self.$define(\"attribute_missing\", \"skip\");\n      self.$define(\"attribute_undefined\", \"drop-line\");\n      self.$define(\"shorthand_property_syntax\", true);\n      self.$define(\"unique_id_start_index\", 2);\n      self.$define(\"markdown_syntax\", true);\n    })($nesting[0], $nesting);\n    Opal.const_set($nesting[0], 'ROOT_PATH', $$$('::', 'File').$dirname($$$('::', 'File').$dirname($$$('::', 'File').$expand_path(\"asciidoctor\"))));\n    Opal.const_set($nesting[0], 'DATA_PATH', $$$('::', 'File').$join($$($nesting, 'ROOT_PATH'), \"data\"));\n    \n    try {\n      Opal.const_set($nesting[0], 'USER_HOME', $$$('::', 'Dir').$home())\n    } catch ($err) {\n      if (Opal.rescue($err, [$$($nesting, 'StandardError')])) {\n        try {\n          Opal.const_set($nesting[0], 'USER_HOME', ($truthy($a = $$$('::', 'ENV')['$[]'](\"HOME\")) ? $a : $$$('::', 'Dir').$pwd()))\n        } finally { Opal.pop_exception() }\n      } else { throw $err; }\n    };;\n    Opal.const_set($nesting[0], 'COERCE_ENCODING', ($truthy($a = $$$('::', 'RUBY_ENGINE_OPAL')['$!']()) ? $$$('::', 'RUBY_MIN_VERSION_1_9') : $a));\n    Opal.const_set($nesting[0], 'FORCE_ENCODING', ($truthy($a = $$($nesting, 'COERCE_ENCODING')) ? $$$('::', 'Encoding').$default_external()['$!=']($$$($$$('::', 'Encoding'), 'UTF_8')) : $a));\n    Opal.const_set($nesting[0], 'BOM_BYTES_UTF_8', [239, 187, 191]);\n    Opal.const_set($nesting[0], 'BOM_BYTES_UTF_16LE', [255, 254]);\n    Opal.const_set($nesting[0], 'BOM_BYTES_UTF_16BE', [254, 255]);\n    Opal.const_set($nesting[0], 'FORCE_UNICODE_LINE_LENGTH', $$$('::', 'RUBY_MIN_VERSION_1_9')['$!']());\n    Opal.const_set($nesting[0], 'LF', Opal.const_set($nesting[0], 'EOL', \"\\n\"));\n    Opal.const_set($nesting[0], 'NULL', \"\\u0000\");\n    Opal.const_set($nesting[0], 'TAB', \"\\t\");\n    Opal.const_set($nesting[0], 'DEFAULT_DOCTYPE', \"article\");\n    Opal.const_set($nesting[0], 'DEFAULT_BACKEND', \"html5\");\n    Opal.const_set($nesting[0], 'DEFAULT_STYLESHEET_KEYS', [\"\", \"DEFAULT\"].$to_set());\n    Opal.const_set($nesting[0], 'DEFAULT_STYLESHEET_NAME', \"asciidoctor.css\");\n    Opal.const_set($nesting[0], 'BACKEND_ALIASES', $hash2([\"html\", \"docbook\"], {\"html\": \"html5\", \"docbook\": \"docbook5\"}));\n    Opal.const_set($nesting[0], 'DEFAULT_PAGE_WIDTHS', $hash2([\"docbook\"], {\"docbook\": 425}));\n    Opal.const_set($nesting[0], 'DEFAULT_EXTENSIONS', $hash2([\"html\", \"docbook\", \"pdf\", \"epub\", \"manpage\", \"asciidoc\"], {\"html\": \".html\", \"docbook\": \".xml\", \"pdf\": \".pdf\", \"epub\": \".epub\", \"manpage\": \".man\", \"asciidoc\": \".adoc\"}));\n    Opal.const_set($nesting[0], 'ASCIIDOC_EXTENSIONS', $hash2([\".asciidoc\", \".adoc\", \".ad\", \".asc\", \".txt\"], {\".asciidoc\": true, \".adoc\": true, \".ad\": true, \".asc\": true, \".txt\": true}));\n    Opal.const_set($nesting[0], 'SETEXT_SECTION_LEVELS', $hash2([\"=\", \"-\", \"~\", \"^\", \"+\"], {\"=\": 0, \"-\": 1, \"~\": 2, \"^\": 3, \"+\": 4}));\n    Opal.const_set($nesting[0], 'ADMONITION_STYLES', [\"NOTE\", \"TIP\", \"IMPORTANT\", \"WARNING\", \"CAUTION\"].$to_set());\n    Opal.const_set($nesting[0], 'ADMONITION_STYLE_HEADS', [\"N\", \"T\", \"I\", \"W\", \"C\"].$to_set());\n    Opal.const_set($nesting[0], 'CALLOUT_LIST_HEADS', [\"<\", \"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"0\"].$to_set());\n    Opal.const_set($nesting[0], 'PARAGRAPH_STYLES', [\"comment\", \"example\", \"literal\", \"listing\", \"normal\", \"pass\", \"quote\", \"sidebar\", \"source\", \"verse\", \"abstract\", \"partintro\"].$to_set());\n    Opal.const_set($nesting[0], 'VERBATIM_STYLES', [\"literal\", \"listing\", \"source\", \"verse\"].$to_set());\n    Opal.const_set($nesting[0], 'DELIMITED_BLOCKS', $hash2([\"--\", \"----\", \"....\", \"====\", \"****\", \"____\", \"\\\"\\\"\", \"++++\", \"|===\", \",===\", \":===\", \"!===\", \"////\", \"```\"], {\"--\": [\"open\", [\"comment\", \"example\", \"literal\", \"listing\", \"pass\", \"quote\", \"sidebar\", \"source\", \"verse\", \"admonition\", \"abstract\", \"partintro\"].$to_set()], \"----\": [\"listing\", [\"literal\", \"source\"].$to_set()], \"....\": [\"literal\", [\"listing\", \"source\"].$to_set()], \"====\": [\"example\", [\"admonition\"].$to_set()], \"****\": [\"sidebar\", $$$('::', 'Set').$new()], \"____\": [\"quote\", [\"verse\"].$to_set()], \"\\\"\\\"\": [\"quote\", [\"verse\"].$to_set()], \"++++\": [\"pass\", [\"stem\", \"latexmath\", \"asciimath\"].$to_set()], \"|===\": [\"table\", $$$('::', 'Set').$new()], \",===\": [\"table\", $$$('::', 'Set').$new()], \":===\": [\"table\", $$$('::', 'Set').$new()], \"!===\": [\"table\", $$$('::', 'Set').$new()], \"////\": [\"comment\", $$$('::', 'Set').$new()], \"```\": [\"fenced_code\", $$$('::', 'Set').$new()]}));\n    Opal.const_set($nesting[0], 'DELIMITED_BLOCK_HEADS', $send($$($nesting, 'DELIMITED_BLOCKS').$keys(), 'map', [], (TMP_Asciidoctor_6 = function(key){var self = TMP_Asciidoctor_6.$$s || this;\nif (key == null) key = nil;\n    return key.$slice(0, 2)}, TMP_Asciidoctor_6.$$s = self, TMP_Asciidoctor_6.$$arity = 1, TMP_Asciidoctor_6)).$to_set());\n    Opal.const_set($nesting[0], 'LAYOUT_BREAK_CHARS', $hash2([\"'\", \"<\"], {\"'\": \"thematic_break\", \"<\": \"page_break\"}));\n    Opal.const_set($nesting[0], 'MARKDOWN_THEMATIC_BREAK_CHARS', $hash2([\"-\", \"*\", \"_\"], {\"-\": \"thematic_break\", \"*\": \"thematic_break\", \"_\": \"thematic_break\"}));\n    Opal.const_set($nesting[0], 'HYBRID_LAYOUT_BREAK_CHARS', $$($nesting, 'LAYOUT_BREAK_CHARS').$merge($$($nesting, 'MARKDOWN_THEMATIC_BREAK_CHARS')));\n    Opal.const_set($nesting[0], 'NESTABLE_LIST_CONTEXTS', [\"ulist\", \"olist\", \"dlist\"]);\n    Opal.const_set($nesting[0], 'ORDERED_LIST_STYLES', [\"arabic\", \"loweralpha\", \"lowerroman\", \"upperalpha\", \"upperroman\"]);\n    Opal.const_set($nesting[0], 'ORDERED_LIST_KEYWORDS', $hash2([\"loweralpha\", \"lowerroman\", \"upperalpha\", \"upperroman\"], {\"loweralpha\": \"a\", \"lowerroman\": \"i\", \"upperalpha\": \"A\", \"upperroman\": \"I\"}));\n    Opal.const_set($nesting[0], 'ATTR_REF_HEAD', \"{\");\n    Opal.const_set($nesting[0], 'LIST_CONTINUATION', \"+\");\n    Opal.const_set($nesting[0], 'HARD_LINE_BREAK', \" +\");\n    Opal.const_set($nesting[0], 'LINE_CONTINUATION', \" \\\\\");\n    Opal.const_set($nesting[0], 'LINE_CONTINUATION_LEGACY', \" +\");\n    Opal.const_set($nesting[0], 'BLOCK_MATH_DELIMITERS', $hash2([\"asciimath\", \"latexmath\"], {\"asciimath\": [\"\\\\$\", \"\\\\$\"], \"latexmath\": [\"\\\\[\", \"\\\\]\"]}));\n    Opal.const_set($nesting[0], 'INLINE_MATH_DELIMITERS', $hash2([\"asciimath\", \"latexmath\"], {\"asciimath\": [\"\\\\$\", \"\\\\$\"], \"latexmath\": [\"\\\\(\", \"\\\\)\"]}));\n    Opal.const_set($nesting[0], 'FLEXIBLE_ATTRIBUTES', [\"sectnums\"]);\n    Opal.const_set($nesting[0], 'CIRCUMFIX_COMMENTS', $send($hash([\"/*\", \"*/\"], [\".css\"], [\"(*\", \"*)\"], [\".ml\", \".mli\", \".nb\"], [\"<!--\", \"-->\"], [\".html\", \".xhtml\", \".xml\", \".xsl\"], [\"<%--\", \"--%>\"], [\".asp\", \".jsp\"]), 'inject', [$hash2([], {})], (TMP_Asciidoctor_7 = function(accum, $b){var self = TMP_Asciidoctor_7.$$s || this, $b_args, affixes, exts, TMP_8;\n\n      if ($b == null) {\n        $b = nil;\n      }\n      $b = Opal.to_ary($b);\n      $b_args = Opal.slice.call($b, 0, $b.length);\n      affixes = $b_args.splice(0,1)[0];\n      if (affixes == null) {\n        affixes = nil;\n      }\n      exts = $b_args.splice(0,1)[0];\n      if (exts == null) {\n        exts = nil;\n      }if (accum == null) accum = nil;\n    \n      $send(exts, 'each', [], (TMP_8 = function(ext){var self = TMP_8.$$s || this, $writer = nil;\nif (ext == null) ext = nil;\n      \n        $writer = [ext, $hash2([\"prefix\", \"suffix\"], {\"prefix\": affixes['$[]'](0), \"suffix\": affixes['$[]'](-1)})];\n        $send(accum, '[]=', Opal.to_a($writer));\n        return $writer[$rb_minus($writer[\"length\"], 1)];}, TMP_8.$$s = self, TMP_8.$$arity = 1, TMP_8));\n      return accum;}, TMP_Asciidoctor_7.$$s = self, TMP_Asciidoctor_7.$$arity = 2, TMP_Asciidoctor_7.$$has_top_level_mlhs_arg = true, TMP_Asciidoctor_7)));\n    if ($$($nesting, 'RUBY_ENGINE')['$=='](\"opal\")) {\n    } else {\n      nil\n    };\n    Opal.const_set($nesting[0], 'AuthorInfoLineRx', new RegExp(\"\" + \"^(\" + ($$($nesting, 'CG_WORD')) + \"[\" + ($$($nesting, 'CC_WORD')) + \"\\\\-'.]*)(?: +(\" + ($$($nesting, 'CG_WORD')) + \"[\" + ($$($nesting, 'CC_WORD')) + \"\\\\-'.]*))?(?: +(\" + ($$($nesting, 'CG_WORD')) + \"[\" + ($$($nesting, 'CC_WORD')) + \"\\\\-'.]*))?(?: +<([^>]+)>)?$\"));\n    Opal.const_set($nesting[0], 'RevisionInfoLineRx', /^(?:\\D*([^\\n]*?),)? *(?!:)([^\\n]*?)(?: *(?!^),?: *([^\\n]*))?$/);\n    Opal.const_set($nesting[0], 'ManpageTitleVolnumRx', /^([^\\n]+?) *\\( *([^\\n]+?) *\\)$/);\n    Opal.const_set($nesting[0], 'ManpageNamePurposeRx', /^([^\\n]+?) +- +([^\\n]+)$/);\n    Opal.const_set($nesting[0], 'ConditionalDirectiveRx', /^(\\\\)?(ifdef|ifndef|ifeval|endif)::(\\S*?(?:([,+])\\S*?)?)\\[([^\\n]+)?\\]$/);\n    Opal.const_set($nesting[0], 'EvalExpressionRx', /^([^\\n]+?) *([=!><]=|[><]) *([^\\n]+)$/);\n    Opal.const_set($nesting[0], 'IncludeDirectiveRx', /^(\\\\)?include::([^\\[][^\\[]*)\\[([^\\n]*)\\]$/);\n    Opal.const_set($nesting[0], 'TagDirectiveRx', /\\b(?:tag|(end))::(\\S+)\\[\\]$/);\n    Opal.const_set($nesting[0], 'AttributeEntryRx', /^:(!?\\w[^\\n]*?):(?:[ \\t]+([^\\n]*))?$/);\n    Opal.const_set($nesting[0], 'InvalidAttributeNameCharsRx', /[^\\w\\-]/);\n    if ($$($nesting, 'RUBY_ENGINE')['$=='](\"opal\")) {\n      Opal.const_set($nesting[0], 'AttributeEntryPassMacroRx', /^pass:([a-z]+(?:,[a-z]+)*)?\\[([\\S\\s]*)\\]$/)\n    } else {\n      nil\n    };\n    Opal.const_set($nesting[0], 'AttributeReferenceRx', /(\\\\)?\\{(\\w+[-\\w]*|(set|counter2?):[^\\n]+?)(\\\\)?\\}/);\n    Opal.const_set($nesting[0], 'BlockAnchorRx', new RegExp(\"\" + \"^\\\\[\\\\[(?:|([\" + ($$($nesting, 'CC_ALPHA')) + \"_:][\" + ($$($nesting, 'CC_WORD')) + \":.-]*)(?:, *(.+))?)\\\\]\\\\]$\"));\n    Opal.const_set($nesting[0], 'BlockAttributeListRx', new RegExp(\"\" + \"^\\\\[(|[\" + ($$($nesting, 'CC_WORD')) + \".#%{,\\\"'].*)\\\\]$\"));\n    Opal.const_set($nesting[0], 'BlockAttributeLineRx', new RegExp(\"\" + \"^\\\\[(?:|[\" + ($$($nesting, 'CC_WORD')) + \".#%{,\\\"'].*|\\\\[(?:|[\" + ($$($nesting, 'CC_ALPHA')) + \"_:][\" + ($$($nesting, 'CC_WORD')) + \":.-]*(?:, *.+)?)\\\\])\\\\]$\"));\n    Opal.const_set($nesting[0], 'BlockTitleRx', /^\\.([^ \\t.][^\\n]*)$/);\n    Opal.const_set($nesting[0], 'AdmonitionParagraphRx', new RegExp(\"\" + \"^(\" + ($rb_times($$($nesting, 'ADMONITION_STYLES').$to_a(), \"|\")) + \"):[ \\\\t]+\"));\n    Opal.const_set($nesting[0], 'LiteralParagraphRx', /^([ \\t]+[^\\n]*)$/);\n    Opal.const_set($nesting[0], 'AtxSectionTitleRx', /^(=={0,5})[ \\t]+([^\\n]+?)(?:[ \\t]+\\1)?$/);\n    Opal.const_set($nesting[0], 'ExtAtxSectionTitleRx', /^(=={0,5}|#\\#{0,5})[ \\t]+([^\\n]+?)(?:[ \\t]+\\1)?$/);\n    Opal.const_set($nesting[0], 'SetextSectionTitleRx', new RegExp(\"\" + \"^((?=.*\" + ($$($nesting, 'CG_WORD')) + \"+.*)[^.].*?)$\"));\n    Opal.const_set($nesting[0], 'InlineSectionAnchorRx', new RegExp(\"\" + \" (\\\\\\\\)?\\\\[\\\\[([\" + ($$($nesting, 'CC_ALPHA')) + \"_:][\" + ($$($nesting, 'CC_WORD')) + \":.-]*)(?:, *(.+))?\\\\]\\\\]$\"));\n    Opal.const_set($nesting[0], 'InvalidSectionIdCharsRx', new RegExp(\"\" + \"&(?:[a-z][a-z]+\\\\d{0,2}|#\\\\d\\\\d\\\\d{0,4}|#x[\\\\da-f][\\\\da-f][\\\\da-f]{0,3});|[^\" + ($$($nesting, 'CC_WORD')) + \"]+?\"));\n    Opal.const_set($nesting[0], 'DiscreteHeadingStyleRx', /^(?:discrete|float)\\b/);\n    Opal.const_set($nesting[0], 'AnyListRx', /^(?:[ \\t]*(?:-|\\*\\*{0,4}|\\.\\.{0,4}|\\u2022\\u2022{0,4}|\\d+\\.|[a-zA-Z]\\.|[IVXivx]+\\))[ \\t]|[ \\t]*[^\\n]*?(?::{2,4}|;;)(?:$|[ \\t])|<?\\d+>[ \\t])/);\n    Opal.const_set($nesting[0], 'UnorderedListRx', /^[ \\t]*(-|\\*\\*{0,4}|\\u2022\\u2022{0,4})[ \\t]+([^\\n]*)$/);\n    Opal.const_set($nesting[0], 'OrderedListRx', /^[ \\t]*(\\.\\.{0,4}|\\d+\\.|[a-zA-Z]\\.|[IVXivx]+\\))[ \\t]+([^\\n]*)$/);\n    Opal.const_set($nesting[0], 'OrderedListMarkerRxMap', $hash2([\"arabic\", \"loweralpha\", \"lowerroman\", \"upperalpha\", \"upperroman\"], {\"arabic\": /\\d+\\./, \"loweralpha\": /[a-z]\\./, \"lowerroman\": /[ivx]+\\)/, \"upperalpha\": /[A-Z]\\./, \"upperroman\": /[IVX]+\\)/}));\n    Opal.const_set($nesting[0], 'DescriptionListRx', /^(?!\\/\\/)[ \\t]*([^\\n]*?)(:{2,4}|;;)(?:[ \\t]+([^\\n]*))?$/);\n    Opal.const_set($nesting[0], 'DescriptionListSiblingRx', $hash2([\"::\", \":::\", \"::::\", \";;\"], {\"::\": /^(?!\\/\\/)[ \\t]*((?:.*[^:])?)(::)(?:[ \\t]+(.*))?$/, \":::\": /^(?!\\/\\/)[ \\t]*((?:.*[^:])?)(:::)(?:[ \\t]+(.*))?$/, \"::::\": /^(?!\\/\\/)[ \\t]*((?:.*[^:])?)(::::)(?:[ \\t]+(.*))?$/, \";;\": /^(?!\\/\\/)[ \\t]*(.*)(;;)(?:[ \\t]+(.*))?$/}));\n    Opal.const_set($nesting[0], 'CalloutListRx', /^<?(\\d+)>[ \\t]+([^\\n]*)$/);\n    Opal.const_set($nesting[0], 'CalloutListSniffRx', /^<?\\d+>/);\n    Opal.const_set($nesting[0], 'CalloutExtractRx', /(?:(?:\\/\\/|#|--|;;) ?)?(\\\\)?<!?(|--)(\\d+)\\2>(?=(?: ?\\\\?<!?\\2\\d+\\2>)*$)/);\n    Opal.const_set($nesting[0], 'CalloutExtractRxt', \"(\\\\\\\\)?<()(\\\\d+)>(?=(?: ?\\\\\\\\?<\\\\d+>)*$)\");\n    Opal.const_set($nesting[0], 'CalloutScanRx', new RegExp(\"\" + \"\\\\\\\\?<!?(|--)(\\\\d+)\\\\1>(?=(?: ?\\\\\\\\?<!?\\\\1\\\\d+\\\\1>)*\" + ($$($nesting, 'CC_EOL')) + \")\"));\n    Opal.const_set($nesting[0], 'CalloutSourceRx', new RegExp(\"\" + \"(?:(?://|#|--|;;) ?)?(\\\\\\\\)?&lt;!?(|--)(\\\\d+)\\\\2&gt;(?=(?: ?\\\\\\\\?&lt;!?\\\\2\\\\d+\\\\2&gt;)*\" + ($$($nesting, 'CC_EOL')) + \")\"));\n    Opal.const_set($nesting[0], 'CalloutSourceRxt', \"\" + \"(\\\\\\\\)?&lt;()(\\\\d+)&gt;(?=(?: ?\\\\\\\\?&lt;\\\\d+&gt;)*\" + ($$($nesting, 'CC_EOL')) + \")\");\n    Opal.const_set($nesting[0], 'ListRxMap', $hash2([\"ulist\", \"olist\", \"dlist\", \"colist\"], {\"ulist\": $$($nesting, 'UnorderedListRx'), \"olist\": $$($nesting, 'OrderedListRx'), \"dlist\": $$($nesting, 'DescriptionListRx'), \"colist\": $$($nesting, 'CalloutListRx')}));\n    Opal.const_set($nesting[0], 'ColumnSpecRx', /^(?:(\\d+)\\*)?([<^>](?:\\.[<^>]?)?|(?:[<^>]?\\.)?[<^>])?(\\d+%?)?([a-z])?$/);\n    Opal.const_set($nesting[0], 'CellSpecStartRx', /^[ \\t]*(?:(\\d+(?:\\.\\d*)?|(?:\\d*\\.)?\\d+)([*+]))?([<^>](?:\\.[<^>]?)?|(?:[<^>]?\\.)?[<^>])?([a-z])?$/);\n    Opal.const_set($nesting[0], 'CellSpecEndRx', /[ \\t]+(?:(\\d+(?:\\.\\d*)?|(?:\\d*\\.)?\\d+)([*+]))?([<^>](?:\\.[<^>]?)?|(?:[<^>]?\\.)?[<^>])?([a-z])?$/);\n    Opal.const_set($nesting[0], 'CustomBlockMacroRx', new RegExp(\"\" + \"^(\" + ($$($nesting, 'CG_WORD')) + \"+)::(|\\\\S|\\\\S.*?\\\\S)\\\\[(.*)\\\\]$\"));\n    Opal.const_set($nesting[0], 'BlockMediaMacroRx', /^(image|video|audio)::(\\S|\\S[^\\n]*?\\S)\\[([^\\n]*)\\]$/);\n    Opal.const_set($nesting[0], 'BlockTocMacroRx', /^toc::\\[([^\\n]*)\\]$/);\n    Opal.const_set($nesting[0], 'InlineAnchorRx', new RegExp(\"\" + \"(\\\\\\\\)?(?:\\\\[\\\\[([\" + ($$($nesting, 'CC_ALPHA')) + \"_:][\" + ($$($nesting, 'CC_WORD')) + \":.-]*)(?:, *(.+?))?\\\\]\\\\]|anchor:([\" + ($$($nesting, 'CC_ALPHA')) + \"_:][\" + ($$($nesting, 'CC_WORD')) + \":.-]*)\\\\[(?:\\\\]|(.*?[^\\\\\\\\])\\\\]))\"));\n    Opal.const_set($nesting[0], 'InlineAnchorScanRx', new RegExp(\"\" + \"(?:^|[^\\\\\\\\\\\\[])\\\\[\\\\[([\" + ($$($nesting, 'CC_ALPHA')) + \"_:][\" + ($$($nesting, 'CC_WORD')) + \":.-]*)(?:, *(.+?))?\\\\]\\\\]|(?:^|[^\\\\\\\\])anchor:([\" + ($$($nesting, 'CC_ALPHA')) + \"_:][\" + ($$($nesting, 'CC_WORD')) + \":.-]*)\\\\[(?:\\\\]|(.*?[^\\\\\\\\])\\\\])\"));\n    Opal.const_set($nesting[0], 'InlineBiblioAnchorRx', new RegExp(\"\" + \"^\\\\[\\\\[\\\\[([\" + ($$($nesting, 'CC_ALPHA')) + \"_:][\" + ($$($nesting, 'CC_WORD')) + \":.-]*)(?:, *(.+?))?\\\\]\\\\]\\\\]\"));\n    Opal.const_set($nesting[0], 'EmailInlineRx', new RegExp(\"\" + \"([\\\\\\\\>:/])?\" + ($$($nesting, 'CG_WORD')) + \"[\" + ($$($nesting, 'CC_WORD')) + \".%+-]*@\" + ($$($nesting, 'CG_ALNUM')) + \"[\" + ($$($nesting, 'CC_ALNUM')) + \".-]*\\\\.\" + ($$($nesting, 'CG_ALPHA')) + \"{2,4}\\\\b\"));\n    Opal.const_set($nesting[0], 'InlineFootnoteMacroRx', new RegExp(\"\" + \"\\\\\\\\?(footnote(?:ref)?):\\\\[(\" + ($$($nesting, 'CC_ALL')) + \"*?[^\\\\\\\\])\\\\]\", 'm'));\n    Opal.const_set($nesting[0], 'InlineImageMacroRx', new RegExp(\"\" + \"\\\\\\\\?i(?:mage|con):([^:\\\\s\\\\[](?:[^\\\\n\\\\[]*[^\\\\s\\\\[])?)\\\\[(|\" + ($$($nesting, 'CC_ALL')) + \"*?[^\\\\\\\\])\\\\]\", 'm'));\n    Opal.const_set($nesting[0], 'InlineIndextermMacroRx', new RegExp(\"\" + \"\\\\\\\\?(?:(indexterm2?):\\\\[(\" + ($$($nesting, 'CC_ALL')) + \"*?[^\\\\\\\\])\\\\]|\\\\(\\\\((\" + ($$($nesting, 'CC_ALL')) + \"+?)\\\\)\\\\)(?!\\\\)))\", 'm'));\n    Opal.const_set($nesting[0], 'InlineKbdBtnMacroRx', new RegExp(\"\" + \"(\\\\\\\\)?(kbd|btn):\\\\[(\" + ($$($nesting, 'CC_ALL')) + \"*?[^\\\\\\\\])\\\\]\", 'm'));\n    Opal.const_set($nesting[0], 'LinkInlineRx', new RegExp(\"\" + \"(^|link:|\" + ($$($nesting, 'CG_BLANK')) + \"|&lt;|[>\\\\(\\\\)\\\\[\\\\];])(\\\\\\\\?(?:https?|file|ftp|irc)://[^\\\\s\\\\[\\\\]<]*[^\\\\s.,\\\\[\\\\]<])(?:\\\\[(|\" + ($$($nesting, 'CC_ALL')) + \"*?[^\\\\\\\\])\\\\])?\", 'm'));\n    Opal.const_set($nesting[0], 'InlineLinkMacroRx', new RegExp(\"\" + \"\\\\\\\\?(?:link|(mailto)):(|[^:\\\\s\\\\[][^\\\\s\\\\[]*)\\\\[(|\" + ($$($nesting, 'CC_ALL')) + \"*?[^\\\\\\\\])\\\\]\", 'm'));\n    Opal.const_set($nesting[0], 'MacroNameRx', new RegExp(\"\" + \"^\" + ($$($nesting, 'CG_WORD')) + \"+$\"));\n    Opal.const_set($nesting[0], 'InlineStemMacroRx', new RegExp(\"\" + \"\\\\\\\\?(stem|(?:latex|ascii)math):([a-z]+(?:,[a-z]+)*)?\\\\[(\" + ($$($nesting, 'CC_ALL')) + \"*?[^\\\\\\\\])\\\\]\", 'm'));\n    Opal.const_set($nesting[0], 'InlineMenuMacroRx', new RegExp(\"\" + \"\\\\\\\\?menu:(\" + ($$($nesting, 'CG_WORD')) + \"|[\" + ($$($nesting, 'CC_WORD')) + \"&][^\\\\n\\\\[]*[^\\\\s\\\\[])\\\\[ *(\" + ($$($nesting, 'CC_ALL')) + \"*?[^\\\\\\\\])?\\\\]\", 'm'));\n    Opal.const_set($nesting[0], 'MenuInlineRx', new RegExp(\"\" + \"\\\\\\\\?\\\"([\" + ($$($nesting, 'CC_WORD')) + \"&][^\\\"]*?[ \\\\n]+&gt;[ \\\\n]+[^\\\"]*)\\\"\"));\n    Opal.const_set($nesting[0], 'PassInlineRx', $hash(false, [\"+\", \"`\", new RegExp(\"\" + \"(^|[^\" + ($$($nesting, 'CC_WORD')) + \";:])(?:\\\\[([^\\\\]]+)\\\\])?(\\\\\\\\?(\\\\+|`)(\\\\S|\\\\S\" + ($$($nesting, 'CC_ALL')) + \"*?\\\\S)\\\\4)(?!\" + ($$($nesting, 'CG_WORD')) + \")\", 'm')], true, [\"`\", nil, new RegExp(\"\" + \"(^|[^`\" + ($$($nesting, 'CC_WORD')) + \"])(?:\\\\[([^\\\\]]+)\\\\])?(\\\\\\\\?(`)([^`\\\\s]|[^`\\\\s]\" + ($$($nesting, 'CC_ALL')) + \"*?\\\\S)\\\\4)(?![`\" + ($$($nesting, 'CC_WORD')) + \"])\", 'm')]));\n    Opal.const_set($nesting[0], 'InlinePassMacroRx', new RegExp(\"\" + \"(?:(?:(\\\\\\\\?)\\\\[([^\\\\]]+)\\\\])?(\\\\\\\\{0,2})(\\\\+\\\\+\\\\+?|\\\\$\\\\$)(\" + ($$($nesting, 'CC_ALL')) + \"*?)\\\\4|(\\\\\\\\?)pass:([a-z]+(?:,[a-z]+)*)?\\\\[(|\" + ($$($nesting, 'CC_ALL')) + \"*?[^\\\\\\\\])\\\\])\", 'm'));\n    Opal.const_set($nesting[0], 'InlineXrefMacroRx', new RegExp(\"\" + \"\\\\\\\\?(?:&lt;&lt;([\" + ($$($nesting, 'CC_WORD')) + \"#/.:{]\" + ($$($nesting, 'CC_ALL')) + \"*?)&gt;&gt;|xref:([\" + ($$($nesting, 'CC_WORD')) + \"#/.:{]\" + ($$($nesting, 'CC_ALL')) + \"*?)\\\\[(?:\\\\]|(\" + ($$($nesting, 'CC_ALL')) + \"*?[^\\\\\\\\])\\\\]))\", 'm'));\n    if ($$($nesting, 'RUBY_ENGINE')['$=='](\"opal\")) {\n      Opal.const_set($nesting[0], 'HardLineBreakRx', /^(.*) \\+$/m)\n    } else {\n      nil\n    };\n    Opal.const_set($nesting[0], 'MarkdownThematicBreakRx', /^ {0,3}([-*_])( *)\\1\\2\\1$/);\n    Opal.const_set($nesting[0], 'ExtLayoutBreakRx', /^(?:'{3,}|<{3,}|([-*_])( *)\\1\\2\\1)$/);\n    Opal.const_set($nesting[0], 'BlankLineRx', /\\n{2,}/);\n    Opal.const_set($nesting[0], 'DataDelimiterRx', /[,;]/);\n    Opal.const_set($nesting[0], 'TrailingDigitsRx', /\\d+$/);\n    Opal.const_set($nesting[0], 'EscapedSpaceRx', /\\\\([ \\t\\n])/);\n    Opal.const_set($nesting[0], 'ReplaceableTextRx', /[&']|--|\\.\\.\\.|\\([CRT]M?\\)/);\n    Opal.const_set($nesting[0], 'SpaceDelimiterRx', /([^\\\\])[ \\t\\n]+/);\n    Opal.const_set($nesting[0], 'SubModifierSniffRx', /[+-]/);\n    if ($$($nesting, 'RUBY_ENGINE')['$=='](\"opal\")) {\n    } else {\n      nil\n    };\n    Opal.const_set($nesting[0], 'UriSniffRx', new RegExp(\"\" + \"^\" + ($$($nesting, 'CG_ALPHA')) + \"[\" + ($$($nesting, 'CC_ALNUM')) + \".+-]+:/{0,2}\"));\n    Opal.const_set($nesting[0], 'UriTerminatorRx', /[);:]$/);\n    Opal.const_set($nesting[0], 'XmlSanitizeRx', /<[^>]+>/);\n    Opal.const_set($nesting[0], 'INTRINSIC_ATTRIBUTES', $hash2([\"startsb\", \"endsb\", \"vbar\", \"caret\", \"asterisk\", \"tilde\", \"plus\", \"backslash\", \"backtick\", \"blank\", \"empty\", \"sp\", \"two-colons\", \"two-semicolons\", \"nbsp\", \"deg\", \"zwsp\", \"quot\", \"apos\", \"lsquo\", \"rsquo\", \"ldquo\", \"rdquo\", \"wj\", \"brvbar\", \"cpp\", \"amp\", \"lt\", \"gt\"], {\"startsb\": \"[\", \"endsb\": \"]\", \"vbar\": \"|\", \"caret\": \"^\", \"asterisk\": \"*\", \"tilde\": \"~\", \"plus\": \"&#43;\", \"backslash\": \"\\\\\", \"backtick\": \"`\", \"blank\": \"\", \"empty\": \"\", \"sp\": \" \", \"two-colons\": \"::\", \"two-semicolons\": \";;\", \"nbsp\": \"&#160;\", \"deg\": \"&#176;\", \"zwsp\": \"&#8203;\", \"quot\": \"&#34;\", \"apos\": \"&#39;\", \"lsquo\": \"&#8216;\", \"rsquo\": \"&#8217;\", \"ldquo\": \"&#8220;\", \"rdquo\": \"&#8221;\", \"wj\": \"&#8288;\", \"brvbar\": \"&#166;\", \"cpp\": \"C++\", \"amp\": \"&\", \"lt\": \"<\", \"gt\": \">\"}));\n    quote_subs = [[\"strong\", \"unconstrained\", new RegExp(\"\" + \"\\\\\\\\?(?:\\\\[([^\\\\]]+)\\\\])?\\\\*\\\\*(\" + ($$($nesting, 'CC_ALL')) + \"+?)\\\\*\\\\*\", 'm')], [\"strong\", \"constrained\", new RegExp(\"\" + \"(^|[^\" + ($$($nesting, 'CC_WORD')) + \";:}])(?:\\\\[([^\\\\]]+)\\\\])?\\\\*(\\\\S|\\\\S\" + ($$($nesting, 'CC_ALL')) + \"*?\\\\S)\\\\*(?!\" + ($$($nesting, 'CG_WORD')) + \")\", 'm')], [\"double\", \"constrained\", new RegExp(\"\" + \"(^|[^\" + ($$($nesting, 'CC_WORD')) + \";:}])(?:\\\\[([^\\\\]]+)\\\\])?\\\"`(\\\\S|\\\\S\" + ($$($nesting, 'CC_ALL')) + \"*?\\\\S)`\\\"(?!\" + ($$($nesting, 'CG_WORD')) + \")\", 'm')], [\"single\", \"constrained\", new RegExp(\"\" + \"(^|[^\" + ($$($nesting, 'CC_WORD')) + \";:`}])(?:\\\\[([^\\\\]]+)\\\\])?'`(\\\\S|\\\\S\" + ($$($nesting, 'CC_ALL')) + \"*?\\\\S)`'(?!\" + ($$($nesting, 'CG_WORD')) + \")\", 'm')], [\"monospaced\", \"unconstrained\", new RegExp(\"\" + \"\\\\\\\\?(?:\\\\[([^\\\\]]+)\\\\])?``(\" + ($$($nesting, 'CC_ALL')) + \"+?)``\", 'm')], [\"monospaced\", \"constrained\", new RegExp(\"\" + \"(^|[^\" + ($$($nesting, 'CC_WORD')) + \";:\\\"'`}])(?:\\\\[([^\\\\]]+)\\\\])?`(\\\\S|\\\\S\" + ($$($nesting, 'CC_ALL')) + \"*?\\\\S)`(?![\" + ($$($nesting, 'CC_WORD')) + \"\\\"'`])\", 'm')], [\"emphasis\", \"unconstrained\", new RegExp(\"\" + \"\\\\\\\\?(?:\\\\[([^\\\\]]+)\\\\])?__(\" + ($$($nesting, 'CC_ALL')) + \"+?)__\", 'm')], [\"emphasis\", \"constrained\", new RegExp(\"\" + \"(^|[^\" + ($$($nesting, 'CC_WORD')) + \";:}])(?:\\\\[([^\\\\]]+)\\\\])?_(\\\\S|\\\\S\" + ($$($nesting, 'CC_ALL')) + \"*?\\\\S)_(?!\" + ($$($nesting, 'CG_WORD')) + \")\", 'm')], [\"mark\", \"unconstrained\", new RegExp(\"\" + \"\\\\\\\\?(?:\\\\[([^\\\\]]+)\\\\])?##(\" + ($$($nesting, 'CC_ALL')) + \"+?)##\", 'm')], [\"mark\", \"constrained\", new RegExp(\"\" + \"(^|[^\" + ($$($nesting, 'CC_WORD')) + \"&;:}])(?:\\\\[([^\\\\]]+)\\\\])?#(\\\\S|\\\\S\" + ($$($nesting, 'CC_ALL')) + \"*?\\\\S)#(?!\" + ($$($nesting, 'CG_WORD')) + \")\", 'm')], [\"superscript\", \"unconstrained\", /\\\\?(?:\\[([^\\]]+)\\])?\\^(\\S+?)\\^/], [\"subscript\", \"unconstrained\", /\\\\?(?:\\[([^\\]]+)\\])?~(\\S+?)~/]];\n    compat_quote_subs = quote_subs.$dup();\n    \n    $writer = [2, [\"double\", \"constrained\", new RegExp(\"\" + \"(^|[^\" + ($$($nesting, 'CC_WORD')) + \";:}])(?:\\\\[([^\\\\]]+)\\\\])?``(\\\\S|\\\\S\" + ($$($nesting, 'CC_ALL')) + \"*?\\\\S)''(?!\" + ($$($nesting, 'CG_WORD')) + \")\", 'm')]];\n    $send(compat_quote_subs, '[]=', Opal.to_a($writer));\n    $writer[$rb_minus($writer[\"length\"], 1)];;\n    \n    $writer = [3, [\"single\", \"constrained\", new RegExp(\"\" + \"(^|[^\" + ($$($nesting, 'CC_WORD')) + \";:}])(?:\\\\[([^\\\\]]+)\\\\])?`(\\\\S|\\\\S\" + ($$($nesting, 'CC_ALL')) + \"*?\\\\S)'(?!\" + ($$($nesting, 'CG_WORD')) + \")\", 'm')]];\n    $send(compat_quote_subs, '[]=', Opal.to_a($writer));\n    $writer[$rb_minus($writer[\"length\"], 1)];;\n    \n    $writer = [4, [\"monospaced\", \"unconstrained\", new RegExp(\"\" + \"\\\\\\\\?(?:\\\\[([^\\\\]]+)\\\\])?\\\\+\\\\+(\" + ($$($nesting, 'CC_ALL')) + \"+?)\\\\+\\\\+\", 'm')]];\n    $send(compat_quote_subs, '[]=', Opal.to_a($writer));\n    $writer[$rb_minus($writer[\"length\"], 1)];;\n    \n    $writer = [5, [\"monospaced\", \"constrained\", new RegExp(\"\" + \"(^|[^\" + ($$($nesting, 'CC_WORD')) + \";:}])(?:\\\\[([^\\\\]]+)\\\\])?\\\\+(\\\\S|\\\\S\" + ($$($nesting, 'CC_ALL')) + \"*?\\\\S)\\\\+(?!\" + ($$($nesting, 'CG_WORD')) + \")\", 'm')]];\n    $send(compat_quote_subs, '[]=', Opal.to_a($writer));\n    $writer[$rb_minus($writer[\"length\"], 1)];;\n    compat_quote_subs.$insert(3, [\"emphasis\", \"constrained\", new RegExp(\"\" + \"(^|[^\" + ($$($nesting, 'CC_WORD')) + \";:}])(?:\\\\[([^\\\\]]+)\\\\])?'(\\\\S|\\\\S\" + ($$($nesting, 'CC_ALL')) + \"*?\\\\S)'(?!\" + ($$($nesting, 'CG_WORD')) + \")\", 'm')]);\n    Opal.const_set($nesting[0], 'QUOTE_SUBS', $hash(false, quote_subs, true, compat_quote_subs));\n    quote_subs = nil;\n    compat_quote_subs = nil;\n    Opal.const_set($nesting[0], 'REPLACEMENTS', [[/\\\\?\\(C\\)/, \"&#169;\", \"none\"], [/\\\\?\\(R\\)/, \"&#174;\", \"none\"], [/\\\\?\\(TM\\)/, \"&#8482;\", \"none\"], [/(^|\\n| |\\\\)--( |\\n|$)/, \"&#8201;&#8212;&#8201;\", \"none\"], [new RegExp(\"\" + \"(\" + ($$($nesting, 'CG_WORD')) + \")\\\\\\\\?--(?=\" + ($$($nesting, 'CG_WORD')) + \")\"), \"&#8212;&#8203;\", \"leading\"], [/\\\\?\\.\\.\\./, \"&#8230;&#8203;\", \"leading\"], [/\\\\?`'/, \"&#8217;\", \"none\"], [new RegExp(\"\" + \"(\" + ($$($nesting, 'CG_ALNUM')) + \")\\\\\\\\?'(?=\" + ($$($nesting, 'CG_ALPHA')) + \")\"), \"&#8217;\", \"leading\"], [/\\\\?-&gt;/, \"&#8594;\", \"none\"], [/\\\\?=&gt;/, \"&#8658;\", \"none\"], [/\\\\?&lt;-/, \"&#8592;\", \"none\"], [/\\\\?&lt;=/, \"&#8656;\", \"none\"], [/\\\\?(&)amp;((?:[a-zA-Z][a-zA-Z]+\\d{0,2}|#\\d\\d\\d{0,4}|#x[\\da-fA-F][\\da-fA-F][\\da-fA-F]{0,3});)/, \"\", \"bounding\"]]);\n    (function(self, $parent_nesting) {\n      var def = self.$$proto, $nesting = [self].concat($parent_nesting), TMP_load_12, TMP_load_file_14, TMP_convert_15, TMP_convert_file_17;\n\n      \n      \n      Opal.def(self, '$load', TMP_load_12 = function $$load(input, options) {\n        var $a, $b, TMP_9, TMP_10, TMP_11, self = this, timings = nil, attrs = nil, attrs_arr = nil, lines = nil, input_path = nil, input_mtime = nil, $writer = nil, docdate = nil, doctime = nil, doc = nil, ex = nil, context = nil, wrapped_ex = nil;\n\n        if (options == null) {\n          options = $hash2([], {});\n        }\n        try {\n          \n          options = options.$dup();\n          if ($truthy((timings = options['$[]'](\"timings\")))) {\n            timings.$start(\"read\")};\n          if ($truthy((attrs = options['$[]'](\"attributes\"))['$!']())) {\n            attrs = $hash2([], {})\n          } else if ($truthy(($truthy($a = $$$('::', 'Hash')['$==='](attrs)) ? $a : ($truthy($b = $$$('::', 'RUBY_ENGINE_JRUBY')) ? $$$($$$($$$('::', 'Java'), 'JavaUtil'), 'Map')['$==='](attrs) : $b)))) {\n            attrs = attrs.$dup()\n          } else if ($truthy($$$('::', 'Array')['$==='](attrs))) {\n            \n            $a = [$hash2([], {}), attrs], (attrs = $a[0]), (attrs_arr = $a[1]), $a;\n            $send(attrs_arr, 'each', [], (TMP_9 = function(entry){var self = TMP_9.$$s || this, $c, $d, k = nil, v = nil, $writer = nil;\nif (entry == null) entry = nil;\n            \n              $d = entry.$split(\"=\", 2), $c = Opal.to_ary($d), (k = ($c[0] == null ? nil : $c[0])), (v = ($c[1] == null ? nil : $c[1])), $d;\n              \n              $writer = [k, ($truthy($c = v) ? $c : \"\")];\n              $send(attrs, '[]=', Opal.to_a($writer));\n              return $writer[$rb_minus($writer[\"length\"], 1)];;}, TMP_9.$$s = self, TMP_9.$$arity = 1, TMP_9));\n          } else if ($truthy($$$('::', 'String')['$==='](attrs))) {\n            \n            $a = [$hash2([], {}), attrs.$gsub($$($nesting, 'SpaceDelimiterRx'), \"\" + \"\\\\1\" + ($$($nesting, 'NULL'))).$gsub($$($nesting, 'EscapedSpaceRx'), \"\\\\1\").$split($$($nesting, 'NULL'))], (attrs = $a[0]), (attrs_arr = $a[1]), $a;\n            $send(attrs_arr, 'each', [], (TMP_10 = function(entry){var self = TMP_10.$$s || this, $c, $d, k = nil, v = nil, $writer = nil;\nif (entry == null) entry = nil;\n            \n              $d = entry.$split(\"=\", 2), $c = Opal.to_ary($d), (k = ($c[0] == null ? nil : $c[0])), (v = ($c[1] == null ? nil : $c[1])), $d;\n              \n              $writer = [k, ($truthy($c = v) ? $c : \"\")];\n              $send(attrs, '[]=', Opal.to_a($writer));\n              return $writer[$rb_minus($writer[\"length\"], 1)];;}, TMP_10.$$s = self, TMP_10.$$arity = 1, TMP_10));\n          } else if ($truthy(($truthy($a = attrs['$respond_to?'](\"keys\")) ? attrs['$respond_to?'](\"[]\") : $a))) {\n            attrs = $$$('::', 'Hash')['$[]']($send(attrs.$keys(), 'map', [], (TMP_11 = function(k){var self = TMP_11.$$s || this;\nif (k == null) k = nil;\n            return [k, attrs['$[]'](k)]}, TMP_11.$$s = self, TMP_11.$$arity = 1, TMP_11)))\n          } else {\n            self.$raise($$$('::', 'ArgumentError'), \"\" + \"illegal type for attributes option: \" + ($rb_times(attrs.$class().$ancestors(), \" < \")))\n          };\n          lines = nil;\n          if ($truthy($$$('::', 'File')['$==='](input))) {\n            \n            input_path = $$$('::', 'File').$expand_path(input.$path());\n            input_mtime = (function() {if ($truthy($$$('::', 'ENV')['$[]'](\"SOURCE_DATE_EPOCH\"))) {\n              return $$$('::', 'Time').$at(self.$Integer($$$('::', 'ENV')['$[]'](\"SOURCE_DATE_EPOCH\"))).$utc()\n            } else {\n              return input.$mtime()\n            }; return nil; })();\n            lines = input.$readlines();\n            \n            $writer = [\"docfile\", input_path];\n            $send(attrs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            \n            $writer = [\"docdir\", $$$('::', 'File').$dirname(input_path)];\n            $send(attrs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            \n            $writer = [\"docname\", $$($nesting, 'Helpers').$basename(input_path, (($writer = [\"docfilesuffix\", $$$('::', 'File').$extname(input_path)]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))];\n            $send(attrs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n            if ($truthy((docdate = attrs['$[]'](\"docdate\")))) {\n              ($truthy($a = attrs['$[]'](\"docyear\")) ? $a : (($writer = [\"docyear\", (function() {if (docdate.$index(\"-\")['$=='](4)) {\n                \n                return docdate.$slice(0, 4);\n              } else {\n                return nil\n              }; return nil; })()]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]))\n            } else {\n              \n              docdate = (($writer = [\"docdate\", input_mtime.$strftime(\"%Y-%m-%d\")]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]);\n              ($truthy($a = attrs['$[]'](\"docyear\")) ? $a : (($writer = [\"docyear\", input_mtime.$year().$to_s()]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n            };\n            doctime = ($truthy($a = attrs['$[]'](\"doctime\")) ? $a : (($writer = [\"doctime\", input_mtime.$strftime(\"%H:%M:%S %Z\")]), $send(attrs, '[]=', Opal.to_a($writer)), $writer[$rb_minus($writer[\"length\"], 1)]));\n            \n            $writer = [\"docdatetime\", \"\" + (docdate) + \" \" + (doctime)];\n            $send(attrs, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];;\n          } else if ($truthy(input['$respond_to?'](\"readlines\"))) {\n            \n            \n            try {\n              input.$rewind()\n            } catch ($err) {\n              if (Opal.rescue($err, [$$($nesting, 'StandardError')])) {\n                try {\n                  nil\n                } finally { Opal.pop_exception() }\n              } else { throw $err; }\n            };;\n            lines = input.$readlines();\n          } else if ($truthy($$$('::', 'String')['$==='](input))) {\n            lines = (function() {if ($truthy($$$('::', 'RUBY_MIN_VERSION_2'))) {\n              return input.$lines()\n            } else {\n              return input.$each_line().$to_a()\n            }; return nil; })()\n          } else if ($truthy($$$('::', 'Array')['$==='](input))) {\n            lines = input.$dup()\n          } else {\n            self.$raise($$$('::', 'ArgumentError'), \"\" + \"unsupported input type: \" + (input.$class()))\n          };\n          if ($truthy(timings)) {\n            \n            timings.$record(\"read\");\n            timings.$start(\"parse\");};\n          \n          $writer = [\"attributes\", attrs];\n          $send(options, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n          doc = (function() {if (options['$[]'](\"parse\")['$=='](false)) {\n            \n            return $$($nesting, 'Document').$new(lines, options);\n          } else {\n            return $$($nesting, 'Document').$new(lines, options).$parse()\n          }; return nil; })();\n          if ($truthy(timings)) {\n            timings.$record(\"parse\")};\n          return doc;\n        } catch ($err) {\n          if (Opal.rescue($err, [$$($nesting, 'StandardError')])) {ex = $err;\n            try {\n              \n              \n              try {\n                \n                context = \"\" + \"asciidoctor: FAILED: \" + (($truthy($a = attrs['$[]'](\"docfile\")) ? $a : \"<stdin>\")) + \": Failed to load AsciiDoc document\";\n                if ($truthy(ex['$respond_to?'](\"exception\"))) {\n                  \n                  wrapped_ex = ex.$exception(\"\" + (context) + \" - \" + (ex.$message()));\n                  wrapped_ex.$set_backtrace(ex.$backtrace());\n                } else {\n                  \n                  wrapped_ex = ex.$class().$new(context, ex);\n                  \n                  $writer = [ex.$stack_trace()];\n                  $send(wrapped_ex, 'stack_trace=', Opal.to_a($writer));\n                  $writer[$rb_minus($writer[\"length\"], 1)];;\n                };\n              } catch ($err) {\n                if (Opal.rescue($err, [$$($nesting, 'StandardError')])) {\n                  try {\n                    wrapped_ex = ex\n                  } finally { Opal.pop_exception() }\n                } else { throw $err; }\n              };;\n              return self.$raise(wrapped_ex);\n            } finally { Opal.pop_exception() }\n          } else { throw $err; }\n        }\n      }, TMP_load_12.$$arity = -2);\n      \n      Opal.def(self, '$load_file', TMP_load_file_14 = function $$load_file(filename, options) {\n        var TMP_13, self = this;\n\n        if (options == null) {\n          options = $hash2([], {});\n        }\n        return $send($$$('::', 'File'), 'open', [filename], (TMP_13 = function(file){var self = TMP_13.$$s || this;\nif (file == null) file = nil;\n        return self.$load(file, options)}, TMP_13.$$s = self, TMP_13.$$arity = 1, TMP_13))\n      }, TMP_load_file_14.$$arity = -2);\n      \n      Opal.def(self, '$convert', TMP_convert_15 = function $$convert(input, options) {\n        var $a, $b, $c, $d, $e, self = this, to_file = nil, to_dir = nil, mkdirs = nil, timings = nil, $case = nil, write_to_same_dir = nil, stream_output = nil, write_to_target = nil, $writer = nil, input_path = nil, outdir = nil, doc = nil, outfile = nil, working_dir = nil, jail = nil, opts = nil, output = nil, stylesdir = nil, copy_asciidoctor_stylesheet = nil, copy_user_stylesheet = nil, stylesheet = nil, copy_coderay_stylesheet = nil, copy_pygments_stylesheet = nil, stylesoutdir = nil, stylesheet_src = nil, stylesheet_dest = nil, stylesheet_data = nil;\n\n        if (options == null) {\n          options = $hash2([], {});\n        }\n        \n        options = options.$dup();\n        options.$delete(\"parse\");\n        to_file = options.$delete(\"to_file\");\n        to_dir = options.$delete(\"to_dir\");\n        mkdirs = ($truthy($a = options.$delete(\"mkdirs\")) ? $a : false);\n        timings = options['$[]'](\"timings\");\n        $case = to_file;\n        if (true['$===']($case) || nil['$===']($case)) {\n        write_to_same_dir = ($truthy($a = to_dir['$!']()) ? $$$('::', 'File')['$==='](input) : $a);\n        stream_output = false;\n        write_to_target = to_dir;\n        to_file = nil;}\n        else if (false['$===']($case)) {\n        write_to_same_dir = false;\n        stream_output = false;\n        write_to_target = false;\n        to_file = nil;}\n        else if (\"/dev/null\"['$===']($case)) {return self.$load(input, options)}\n        else {\n        write_to_same_dir = false;\n        write_to_target = (function() {if ($truthy((stream_output = to_file['$respond_to?'](\"write\")))) {\n          return false\n        } else {\n          return to_file\n        }; return nil; })();};\n        if ($truthy(options['$key?'](\"header_footer\"))) {\n        } else if ($truthy(($truthy($a = write_to_same_dir) ? $a : write_to_target))) {\n          \n          $writer = [\"header_footer\", true];\n          $send(options, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];};\n        if ($truthy(write_to_same_dir)) {\n          \n          input_path = $$$('::', 'File').$expand_path(input.$path());\n          \n          $writer = [\"to_dir\", (outdir = $$$('::', 'File').$dirname(input_path))];\n          $send(options, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];;\n        } else if ($truthy(write_to_target)) {\n          if ($truthy(to_dir)) {\n            if ($truthy(to_file)) {\n              \n              $writer = [\"to_dir\", $$$('::', 'File').$expand_path($$$('::', 'File').$join(to_dir, to_file, \"..\"))];\n              $send(options, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];\n            } else {\n              \n              $writer = [\"to_dir\", $$$('::', 'File').$expand_path(to_dir)];\n              $send(options, '[]=', Opal.to_a($writer));\n              $writer[$rb_minus($writer[\"length\"], 1)];\n            }\n          } else if ($truthy(to_file)) {\n            \n            $writer = [\"to_dir\", $$$('::', 'File').$expand_path(to_file, \"..\")];\n            $send(options, '[]=', Opal.to_a($writer));\n            $writer[$rb_minus($writer[\"length\"], 1)];}\n        } else {\n          \n          $writer = [\"to_dir\", nil];\n          $send(options, '[]=', Opal.to_a($writer));\n          $writer[$rb_minus($writer[\"length\"], 1)];\n        };\n        doc = self.$load(input, options);\n        if ($truthy(write_to_same_dir)) {\n          \n          outfile = $$$('::', 'File').$join(outdir, \"\" + (doc.$attributes()['$[]'](\"docname\")) + (doc.$outfilesuffix()));\n          if (outfile['$=='](input_path)) {\n            self.$raise($$$('::', 'IOError'), \"\" + \"input file and output file cannot be the same: \" + (outfile))};\n        } else if ($truthy(write_to_target)) {\n          \n          working_dir = (function() {if ($truthy(options['$key?'](\"base_dir\"))) {\n            \n            return $$$('::', 'File').$expand_path(options['$[]'](\"base_dir\"));\n          } else {\n            \n            return $$$('::', 'File').$expand_path($$$('::', 'Dir').$pwd());\n          }; return nil; })();\n          jail = (function() {if ($truthy($rb_ge(doc.$safe(), $$$($$($nesting, 'SafeMode'), 'SAFE')))) {\n            return working_dir\n          } else {\n            return nil\n          }; return nil; })();\n          if ($truthy(to_dir)) {\n            \n            outdir = doc.$normalize_system_path(to_dir, working_dir, jail, $hash2([\"target_name\", \"recover\"], {\"target_name\": \"to_dir\", \"recover\": false}));\n            if ($truthy(to_file)) {\n              \n              outfile = doc.$normalize_system_path(to_file, outdir, nil, $hash2([\"target_name\", \"recover\"], {\"target_name\": \"to_dir\", \"recover\": false}));\n              outdir = $$$('::', 'File').$dirname(outfile);\n            } else {\n              outfile = $$$('::', 'File').$join(outdir, \"\" + (doc.$attributes()['$[]'](\"docname\")) + (doc.$outfilesuffix()))\n            };\n          } else if ($truthy(to_file)) {\n            \n            outfile = doc.$normalize_system_path(to_file, working_dir, jail, $hash2([\"target_name\", \"recover\"], {\"target_name\": \"to_dir\", \"recover\": false}));\n            outdir = $$$('::', 'File').$dirname(outfile);};\n          if ($truthy(($truthy($a = $$$('::', 'File')['$==='](input)) ? outfile['$==']($$$('::', 'File').$expand_path(input.$path())) : $a))) {\n            self.$raise($$$('::', 'IOError'), \"\" + \"input file and output file cannot be the same: \" + (outfile))};\n          if ($truthy($$$('::', 'File')['$directory?'](outdir))) {\n          } else if ($truthy(mkdirs)) {\n            $$($nesting, 'Helpers').$mkdir_p(outdir)\n          } else {\n            self.$raise($$$('::', 'IOError'), \"\" + \"target directory does not exist: \" + (to_dir))\n          };\n        } else {\n          \n          outfile = to_file;\n          outdir = nil;\n        };\n        if ($truthy(timings)) {\n          timings.$start(\"convert\")};\n        opts = (function() {if ($truthy(($truthy($a = outfile) ? stream_output['$!']() : $a))) {\n          return $hash2([\"outfile\", \"outdir\"], {\"outfile\": outfile, \"outdir\": outdir})\n        } else {\n          return $hash2([], {})\n        }; return nil; })();\n        output = doc.$convert(opts);\n        if ($truthy(timings)) {\n          timings.$record(\"convert\")};\n        if ($truthy(outfile)) {\n          \n          if ($truthy(timings)) {\n            timings.$start(\"write\")};\n          doc.$write(output, outfile);\n          if ($truthy(timings)) {\n            timings.$record(\"write\")};\n          if ($truthy(($truthy($a = ($truthy($b = ($truthy($c = ($truthy($d = ($truthy($e = stream_output['$!']()) ? $rb_lt(doc.$safe(), $$$($$($nesting, 'SafeMode'), 'SECURE')) : $e)) ? doc['$attr?'](\"linkcss\") : $d)) ? doc['$attr?'](\"copycss\") : $c)) ? doc['$attr?'](\"basebackend-html\") : $b)) ? ($truthy($b = (stylesdir = doc.$attr(\"stylesdir\"))) ? $$($nesting, 'Helpers')['$uriish?'](stylesdir) : $b)['$!']() : $a))) {\n            \n            copy_asciidoctor_stylesheet = false;\n            copy_user_stylesheet = false;\n            if ($truthy((stylesheet = doc.$attr(\"stylesheet\")))) {\n              if ($truthy($$($nesting, 'DEFAULT_STYLESHEET_KEYS')['$include?'](stylesheet))) {\n                copy_asciidoctor_stylesheet = true\n              } else if ($truthy($$($nesting, 'Helpers')['$uriish?'](stylesheet)['$!']())) {\n                copy_user_stylesheet = true}};\n            copy_coderay_stylesheet = ($truthy($a = doc['$attr?'](\"source-highlighter\", \"coderay\")) ? doc.$attr(\"coderay-css\", \"class\")['$=='](\"class\") : $a);\n            copy_pygments_stylesheet = ($truthy($a = doc['$attr?'](\"source-highlighter\", \"pygments\")) ? doc.$attr(\"pygments-css\", \"class\")['$=='](\"class\") : $a);\n            if ($truthy(($truthy($a = ($truthy($b = ($truthy($c = copy_asciidoctor_stylesheet) ? $c : copy_user_stylesheet)) ? $b : copy_coderay_stylesheet)) ? $a : copy_pygments_stylesheet))) {\n              \n              stylesoutdir = doc.$normalize_system_path(stylesdir, outdir, (function() {if ($truthy($rb_ge(doc.$safe(), $$$($$($nesting, 'SafeMode'), 'SAFE')))) {\n                return outdir\n              } else {\n                return nil\n              }; return nil; })());\n              if ($truthy(mkdirs)) {\n                $$($nesting, 'Helpers').$mkdir_p(stylesoutdir)};\n              if ($truthy(copy_asciidoctor_stylesheet)) {\n                $$($nesting, 'Stylesheets').$instance().$write_primary_stylesheet(stylesoutdir)\n              } else if ($truthy(copy_user_stylesheet)) {\n                \n                if ($truthy((stylesheet_src = doc.$attr(\"copycss\"))['$empty?']())) {\n                  stylesheet_src = doc.$normalize_system_path(stylesheet)\n                } else {\n                  stylesheet_src = doc.$normalize_system_path(stylesheet_src)\n                };\n                stylesheet_dest = doc.$normalize_system_path(stylesheet, stylesoutdir, (function() {if ($truthy($rb_ge(doc.$safe(), $$$($$($nesting, 'SafeMode'), 'SAFE')))) {\n                  return outdir\n                } else {\n                  return nil\n                }; return nil; })());\n                if ($truthy(($truthy($a = stylesheet_src['$!='](stylesheet_dest)) ? (stylesheet_data = doc.$read_asset(stylesheet_src, $hash2([\"warn_on_failure\", \"label\"], {\"warn_on_failure\": $$$('::', 'File')['$file?'](stylesheet_dest)['$!'](), \"label\": \"stylesheet\"}))) : $a))) {\n                  $$$('::', 'IO').$write(stylesheet_dest, stylesheet_data)};};\n              if ($truthy(copy_coderay_stylesheet)) {\n                $$($nesting, 'Stylesheets').$instance().$write_coderay_stylesheet(stylesoutdir)\n              } else if ($truthy(copy_pygments_stylesheet)) {\n                $$($nesting, 'Stylesheets').$instance().$write_pygments_stylesheet(stylesoutdir, doc.$attr(\"pygments-style\"))};};};\n          return doc;\n        } else {\n          return output\n        };\n      }, TMP_convert_15.$$arity = -2);\n      Opal.alias(self, \"render\", \"convert\");\n      \n      Opal.def(self, '$convert_file', TMP_convert_file_17 = function $$convert_file(filename, options) {\n        var TMP_16, self = this;\n\n        if (options == null) {\n          options = $hash2([], {});\n        }\n        return $send($$$('::', 'File'), 'open', [filename], (TMP_16 = function(file){var self = TMP_16.$$s || this;\nif (file == null) file = nil;\n        return self.$convert(file, options)}, TMP_16.$$s = self, TMP_16.$$arity = 1, TMP_16))\n      }, TMP_convert_file_17.$$arity = -2);\n      Opal.alias(self, \"render_file\", \"convert_file\");\n      if ($$($nesting, 'RUBY_ENGINE')['$=='](\"opal\")) {\n        return nil\n      } else {\n        return nil\n      };\n    })(Opal.get_singleton_class(self), $nesting);\n    if ($$($nesting, 'RUBY_ENGINE')['$=='](\"opal\")) {\n      \n      self.$require(\"asciidoctor/timings\");\n      self.$require(\"asciidoctor/version\");\n    } else {\n      nil\n    };\n  })($nesting[0], $nesting);\n  self.$require(\"asciidoctor/core_ext\");\n  self.$require(\"asciidoctor/helpers\");\n  self.$require(\"asciidoctor/substitutors\");\n  self.$require(\"asciidoctor/abstract_node\");\n  self.$require(\"asciidoctor/abstract_block\");\n  self.$require(\"asciidoctor/attribute_list\");\n  self.$require(\"asciidoctor/block\");\n  self.$require(\"asciidoctor/callouts\");\n  self.$require(\"asciidoctor/converter\");\n  self.$require(\"asciidoctor/document\");\n  self.$require(\"asciidoctor/inline\");\n  self.$require(\"asciidoctor/list\");\n  self.$require(\"asciidoctor/parser\");\n  self.$require(\"asciidoctor/path_resolver\");\n  self.$require(\"asciidoctor/reader\");\n  self.$require(\"asciidoctor/section\");\n  self.$require(\"asciidoctor/stylesheets\");\n  self.$require(\"asciidoctor/table\");\n  if ($$($nesting, 'RUBY_ENGINE')['$=='](\"opal\")) {\n    return self.$require(\"asciidoctor/js/postscript\")\n  } else {\n    return nil\n  };\n})(Opal);\n\n\n/**\n * Convert a JSON to an (Opal) Hash.\n * @private\n */\nvar toHash = function (object) {\n  return object && !('$$smap' in object) ? Opal.hash(object) : object;\n};\n\n/**\n * Convert an (Opal) Hash to JSON.\n * @private\n */\nvar fromHash = function (hash) {\n  var object = {};\n  for (var i = 0, keys = hash.$$keys, data = hash.$$smap, len = keys.length; i < len; i++) {\n    var key = keys[i];\n    object[key] = data[key];\n  }\n  return object;\n};\n\n/**\n * @private\n */\nvar prepareOptions = function (options) {\n  if (options = toHash(options)) {\n    var attrs = options['$[]']('attributes');\n    if (attrs && typeof attrs === 'object' && attrs.constructor.name === 'Object') {\n      options = options.$dup();\n      options['$[]=']('attributes', toHash(attrs));\n    }\n  }\n  return options;\n};\n\n// Asciidoctor API\n\n/**\n * @namespace\n * @description\n * Methods for parsing AsciiDoc input files and converting documents.\n *\n * AsciiDoc documents comprise a header followed by zero or more sections.\n * Sections are composed of blocks of content. For example:\n * <pre>\n *   = Doc Title\n *\n *   == Section 1\n *\n *   This is a paragraph block in the first section.\n *\n *   == Section 2\n *\n *   This section has a paragraph block and an olist block.\n *\n *   . Item 1\n *   . Item 2\n * </pre>\n *\n * @example\n * asciidoctor.convertFile('sample.adoc');\n */\nvar Asciidoctor = Opal.Asciidoctor['$$class'];\n\n/**\n * Get Asciidoctor core version number.\n *\n * @memberof Asciidoctor\n * @returns {string} - returns the version number of Asciidoctor core.\n */\nAsciidoctor.$$proto.getCoreVersion = function () {\n  return this.$$const.VERSION;\n};\n\n/**\n * Parse the AsciiDoc source input into an {@link Document} and convert it to the specified backend format.\n *\n * Accepts input as a Buffer or String.\n *\n * @param {string|Buffer} input - AsciiDoc input as String or Buffer\n * @param {Object} options - a JSON of options to control processing (default: {})\n * @returns {string|Document} - returns the {@link Document} object if the converted String is written to a file,\n * otherwise the converted String\n * @memberof Asciidoctor\n * @example\n * var input = '= Hello, AsciiDoc!\\n' +\n *   'Guillaume Grossetie <ggrossetie@example.com>\\n\\n' +\n *   'An introduction to http://asciidoc.org[AsciiDoc].\\n\\n' +\n *   '== First Section\\n\\n' +\n *   '* item 1\\n' +\n *   '* item 2\\n';\n *\n * var html = asciidoctor.convert(input);\n */\nAsciidoctor.$$proto.convert = function (input, options) {\n  if (typeof input === 'object' && input.constructor.name === 'Buffer') {\n    input = input.toString('utf8');\n  }\n  var result = this.$convert(input, prepareOptions(options));\n  return result === Opal.nil ? '' : result;\n};\n\n/**\n * Parse the AsciiDoc source input into an {@link Document} and convert it to the specified backend format.\n *\n * @param {string} filename - source filename\n * @param {Object} options - a JSON of options to control processing (default: {})\n * @returns {string|Document} - returns the {@link Document} object if the converted String is written to a file,\n * otherwise the converted String\n * @memberof Asciidoctor\n * @example\n * var html = asciidoctor.convertFile('./document.adoc');\n */\nAsciidoctor.$$proto.convertFile = function (filename, options) {\n  return this.$convert_file(filename, prepareOptions(options));\n};\n\n/**\n * Parse the AsciiDoc source input into an {@link Document}\n *\n * Accepts input as a Buffer or String.\n *\n * @param {string|Buffer} input - AsciiDoc input as String or Buffer\n * @param {Object} options - a JSON of options to control processing (default: {})\n * @returns {Document} - returns the {@link Document} object\n * @memberof Asciidoctor\n */\nAsciidoctor.$$proto.load = function (input, options) {\n  if (typeof input === 'object' && input.constructor.name === 'Buffer') {\n    input = input.toString('utf8');\n  }\n  return this.$load(input, prepareOptions(options));\n};\n\n/**\n * Parse the contents of the AsciiDoc source file into an {@link Document}\n *\n * @param {string} filename - source filename\n * @param {Object} options - a JSON of options to control processing (default: {})\n * @returns {Document} - returns the {@link Document} object\n * @memberof Asciidoctor\n */\nAsciidoctor.$$proto.loadFile = function (filename, options) {\n  return this.$load_file(filename, prepareOptions(options));\n};\n\n// AbstractBlock API\n\n/**\n * @namespace\n * @extends AbstractNode\n */\nvar AbstractBlock = Opal.Asciidoctor.AbstractBlock;\n\n/**\n * Get the String title of this Block with title substitions applied\n *\n * The following substitutions are applied to block and section titles:\n *\n * <code>specialcharacters</code>, <code>quotes</code>, <code>replacements</code>, <code>macros</code>, <code>attributes</code> and <code>post_replacements</code>\n *\n * @memberof AbstractBlock\n * @returns {string} - returns the converted String title for this Block, or undefined if the title is not set.\n * @example\n * block.title // \"Foo 3^ # {two-colons} Bar(1)\"\n * block.getTitle(); // \"Foo 3^ # :: Bar(1)\"\n */\nAbstractBlock.$$proto.getTitle = function () {\n  var title = this.$title();\n  return title === Opal.nil ? undefined : title;\n};\n\n/**\n * Convenience method that returns the interpreted title of the Block\n * with the caption prepended.\n * Concatenates the value of this Block's caption instance variable and the\n * return value of this Block's title method. No space is added between the\n * two values. If the Block does not have a caption, the interpreted title is\n * returned.\n *\n * @memberof AbstractBlock\n * @returns {string} - the converted String title prefixed with the caption, or just the\n * converted String title if no caption is set\n */\nAbstractBlock.$$proto.getCaptionedTitle = function () {\n  return this.$captioned_title();\n};\n\n/**\n * Get the style (block type qualifier) for this block.\n * @memberof AbstractBlock\n * @returns {string} - returns the style for this block\n */\nAbstractBlock.$$proto.getStyle = function () {\n  return this.style;\n};\n\n/**\n * Get the caption for this block.\n * @memberof AbstractBlock\n * @returns {string} - returns the caption for this block\n */\nAbstractBlock.$$proto.getCaption = function () {\n  return this.$caption();\n};\n\n/**\n * Set the caption for this block.\n * @param {string} caption - Caption\n * @memberof AbstractBlock\n */\nAbstractBlock.$$proto.setCaption = function (caption) {\n  this.caption = caption;\n};\n\n/**\n * Get the level of this section or the section level in which this block resides.\n * @memberof AbstractBlock\n * @returns {number} - returns the level of this section\n */\nAbstractBlock.$$proto.getLevel = function () {\n  return this.level;\n};\n\n/**\n * Get the substitution keywords to be applied to the contents of this block.\n *\n * @memberof AbstractBlock\n * @returns {Array} - the list of {string} substitution keywords associated with this block.\n */\nAbstractBlock.$$proto.getSubstitutions = function () {\n  return this.subs;\n};\n\n/**\n * Check whether a given substitution keyword is present in the substitutions for this block.\n *\n * @memberof AbstractBlock\n * @returns {boolean} - whether the substitution is present on this block.\n */\nAbstractBlock.$$proto.hasSubstitution = function (substitution) {\n  return this['$sub?'](substitution);\n};\n\n/**\n * Remove the specified substitution keyword from the list of substitutions for this block.\n *\n * @memberof AbstractBlock\n * @returns undefined\n */\nAbstractBlock.$$proto.removeSubstitution = function (substitution) {\n  this.$remove_sub(substitution);\n};\n\n/**\n * Get the list of {@link AbstractBlock} sub-blocks for this block.\n * @memberof AbstractBlock\n * @returns {Array} - returns a list of {@link AbstractBlock} sub-blocks\n */\nAbstractBlock.$$proto.getBlocks = function () {\n  return this.blocks;\n};\n\n/**\n * Get the converted result of the child blocks by converting the children appropriate to content model that this block supports.\n * @memberof AbstractBlock\n * @returns {string} - returns the converted result of the child blocks\n */\nAbstractBlock.$$proto.getContent = function () {\n  return this.$content();\n};\n\n/**\n * Get the converted content for this block.\n * If the block has child blocks, the content method should cause them to be converted\n * and returned as content that can be included in the parent block's template.\n * @memberof AbstractBlock\n * @returns {string} - returns the converted String content for this block\n */\nAbstractBlock.$$proto.convert = function () {\n  return this.$convert();\n};\n\n/**\n * Query for all descendant block-level nodes in the document tree\n * that match the specified selector (context, style, id, and/or role).\n * If a function block is given, it's used as an additional filter.\n * If no selector or function block is supplied, all block-level nodes in the tree are returned.\n * @param {Object} [selector]\n * @param {function} [block]\n * @example\n * doc.findBy({'context': 'section'});\n * // => { level: 0, title: \"Hello, AsciiDoc!\", blocks: 0 }\n * // => { level: 1, title: \"First Section\", blocks: 1 }\n *\n * doc.findBy({'context': 'section'}, function (section) { return section.getLevel() === 1; });\n * // => { level: 1, title: \"First Section\", blocks: 1 }\n *\n * doc.findBy({'context': 'listing', 'style': 'source'});\n * // => { context: :listing, content_model: :verbatim, style: \"source\", lines: 1 }\n *\n * @memberof AbstractBlock\n * @returns {Array} - returns a list of block-level nodes that match the filter or an empty list if no matches are found\n */\nAbstractBlock.$$proto.findBy = function (selector, block) {\n  if (typeof block === 'undefined' && typeof selector === 'function') {\n    return Opal.send(this, 'find_by', null, selector);\n  }\n  else if (typeof block === 'function') {\n    return Opal.send(this, 'find_by', [toHash(selector)], block);\n  }\n  else {\n    return this.$find_by(toHash(selector));\n  }\n};\n\n/**\n * Get the source line number where this block started.\n * @memberof AbstractBlock\n * @returns {number} - returns the source line number where this block started\n */\nAbstractBlock.$$proto.getLineNumber = function () {\n  var lineno = this.$lineno();\n  return lineno === Opal.nil ? undefined : lineno;\n};\n\n/**\n * @namespace\n */\nvar Block = Opal.Asciidoctor.Block;\n\n/**\n * Get the source of this block.\n * @memberof Block\n * @returns {string} - returns the String source of this block.\n */\nBlock.$$proto.getSource = function () {\n  return this.$source();\n};\n\n/**\n * Get the source lines of this block.\n * @memberof Block\n * @returns {Array} - returns the String {Array} of source lines for this block.\n */\nBlock.$$proto.getSourceLines = function () {\n  return this.lines;\n};\n\n// AbstractNode API\n\n/**\n * @namespace\n */\nvar AbstractNode = Opal.Asciidoctor.AbstractNode;\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.getAttributes = function () {\n  return fromHash(this.attributes);\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.getAttribute = function (name, defaultValue, inherit) {\n  var value = this.$attr(name, defaultValue, inherit);\n  return value === Opal.nil ? undefined : value;\n};\n\n/**\n * Check whether the specified attribute is present on this node.\n *\n * @memberof AbstractNode\n * @returns {boolean} true if the attribute is present, otherwise false\n */\nAbstractNode.$$proto.hasAttribute = function (name) {\n  return name in this.attributes.$$smap;\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.isAttribute = function (name, expectedValue, inherit) {\n  var result = this['$attr?'](name, expectedValue, inherit);\n  return result === Opal.nil ? false : result;\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.setAttribute = function (name, value, overwrite) {\n  if (typeof overwrite === 'undefined') overwrite = true;\n  return this.$set_attr(name, value, overwrite);\n};\n\n/**\n * Remove the attribute from the current node.\n * @param {string} name - The String attribute name to remove\n * @returns {string} - returns the previous {String} value, or undefined if the attribute was not present.\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.removeAttribute = function (name) {\n  var value = this.$remove_attr(name);\n  return value === Opal.nil ? undefined : value;\n};\n\n/**\n * Get the {@link Document} to which this node belongs.\n *\n * @memberof AbstractNode\n * @returns {Document} - returns the {@link Document} object to which this node belongs.\n */\nAbstractNode.$$proto.getDocument = function () {\n  return this.document;\n};\n\n/**\n * Get the {@link AbstractNode} to which this node is attached.\n *\n * @memberof AbstractNode\n * @returns {AbstractNode} - returns the {@link AbstractNode} object to which this node is attached,\n * or undefined if this node has no parent.\n */\nAbstractNode.$$proto.getParent = function () {\n  var parent = this.parent;\n  return parent === Opal.nil ? undefined : parent;\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.isInline = function () {\n  return this['$inline?']();\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.isBlock = function () {\n  return this['$block?']();\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.isRole = function (expected) {\n  return this['$role?'](expected);\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.getRole = function () {\n  return this.$role();\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.hasRole = function (name) {\n  return this['$has_role?'](name);\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.getRoles = function () {\n  return this.$roles();\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.addRole = function (name) {\n  return this.$add_role(name);\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.removeRole = function (name) {\n  return this.$remove_role(name);\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.isReftext = function () {\n  return this['$reftext?']();\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.getReftext = function () {\n  return this.$reftext();\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.getContext = function () {\n  var context = this.context;\n  // Automatically convert Opal pseudo-symbol to String\n  return typeof context === 'string' ? context : context.toString();\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.getId = function () {\n  return this.id;\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.isOption = function (name) {\n  return this['$option?'](name);\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.setOption = function (name) {\n  return this.$set_option(name);\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.getIconUri = function (name) {\n  return this.$icon_uri(name);\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.getMediaUri = function (target, assetDirKey) {\n  return this.$media_uri(target, assetDirKey);\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.getImageUri = function (targetImage, assetDirKey) {\n  return this.$image_uri(targetImage, assetDirKey);\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.getConverter = function () {\n  return this.$converter();\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.readContents = function (target, options) {\n  return this.$read_contents(target, toHash(options));\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.readAsset = function (path, options) {\n  return this.$read_asset(path, toHash(options));\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.normalizeWebPath = function (target, start, preserveTargetUri) {\n  return this.$normalize_web_path(target, start, preserveTargetUri);\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.normalizeSystemPath = function (target, start, jail, options) {\n  return this.$normalize_system_path(target, start, jail, toHash(options));\n};\n\n/**\n * @memberof AbstractNode\n */\nAbstractNode.$$proto.normalizeAssetPath = function (assetRef, assetName, autoCorrect) {\n  return this.$normalize_asset_path(assetRef, assetName, autoCorrect);\n};\n\n// Document API\n\n/**\n * @namespace\n * @extends AbstractBlock\n */\nvar Document = Opal.Asciidoctor.Document;\n\n/**\n * @returns {string} - returns the level-0 section\n * @memberof Document\n */\nDocument.$$proto.getHeader = function () {\n  return this.header;\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.setAttribute = function (name, value) {\n  return this.$set_attribute(name, value);\n};\n\n/**\n\n * @memberof Document\n */\nDocument.$$proto.removeAttribute = function (name) {\n  this.attributes.$delete(name);\n  this.attribute_overrides.$delete(name);\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.convert = function (options) {\n  var result = this.$convert(toHash(options));\n  return result === Opal.nil ? '' : result;\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.write = function (output, target) {\n  return this.$write(output, target);\n};\n\n/**\n * @returns {string} - returns the full name of the author as a String\n * @memberof Document\n */\nDocument.$$proto.getAuthor = function () {\n  return this.$author();\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getSource = function () {\n  return this.$source();\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getSourceLines = function () {\n  return this.$source_lines();\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.isNested = function () {\n  return this['$nested?']();\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.hasFootnotes = function () {\n  return this['$footnotes?']();\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getFootnotes = function () {\n  return this.$footnotes();\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.isEmbedded = function () {\n  return this['$embedded?']();\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.hasExtensions = function () {\n  return this['$extensions?']();\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getDoctype = function () {\n  return this.doctype;\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getBackend = function () {\n  return this.backend;\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.isBasebackend = function (base) {\n  return this['$basebackend?'](base);\n};\n\n/**\n * Get the title explicitly defined in the document attributes.\n * @returns {string}\n * @see {@link AbstractNode#getAttributes}\n * @memberof Document\n */\nDocument.$$proto.getTitle = function () {\n  var title = this.$title();\n  return title === Opal.nil ? undefined : title;\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.setTitle = function (title) {\n  return this['$title='](title);\n};\n\n/**\n * @memberof Document\n * @returns {Document/Title} - returns a {@link Document/Title}\n */\nDocument.$$proto.getDocumentTitle = function (options) {\n  var doctitle = this.$doctitle(toHash(options));\n  return doctitle === Opal.nil ? undefined : doctitle;\n};\n\n/**\n * @memberof Document\n * @see {@link Document#getDocumentTitle}\n */\nDocument.$$proto.getDoctitle = Document.$$proto.getDocumentTitle;\n\n/**\n * Get the document catalog Hash.\n * @memberof Document\n */\nDocument.$$proto.getCatalog = function () {\n  return fromHash(this.catalog);\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getReferences = Document.$$proto.getCatalog;\n\n/**\n * Get the document revision date from document header (document attribute <code>revdate</code>).\n * @memberof Document\n */\nDocument.$$proto.getRevisionDate = function () {\n  return this.getAttribute('revdate');\n};\n\n/**\n * @memberof Document\n * @see Document#getRevisionDate\n */\nDocument.$$proto.getRevdate = function () {\n  return this.getRevisionDate();\n};\n\n/**\n * Get the document revision number from document header (document attribute <code>revnumber</code>).\n * @memberof Document\n */\nDocument.$$proto.getRevisionNumber = function () {\n  return this.getAttribute('revnumber');\n};\n\n/**\n * Get the document revision remark from document header (document attribute <code>revremark</code>).\n * @memberof Document\n */\nDocument.$$proto.getRevisionRemark = function () {\n  return this.getAttribute('revremark');\n};\n\n// private constructor\nDocument.RevisionInfo = function (date, number, remark) {\n  this.date = date;\n  this.number = number;\n  this.remark = remark;\n};\n\n/**\n * @class\n * @namespace\n * @module Document/RevisionInfo\n */\nvar RevisionInfo = Document.RevisionInfo;\n\n/**\n * Get the document revision date from document header (document attribute <code>revdate</code>).\n * @memberof Document/RevisionInfo\n */\nRevisionInfo.prototype.getDate = function () {\n  return this.date;\n};\n\n/**\n * Get the document revision number from document header (document attribute <code>revnumber</code>).\n * @memberof Document/RevisionInfo\n */\nRevisionInfo.prototype.getNumber = function () {\n  return this.number;\n};\n\n/**\n * Get the document revision remark from document header (document attribute <code>revremark</code>).\n * A short summary of changes in this document revision.\n * @memberof Document/RevisionInfo\n */\nRevisionInfo.prototype.getRemark = function () {\n  return this.remark;\n};\n\n/**\n * @memberof Document/RevisionInfo\n * @returns {boolean} - returns true if the revision info is empty (ie. not defined), otherwise false\n */\nRevisionInfo.prototype.isEmpty = function () {\n  return this.date === undefined && this.number === undefined && this.remark === undefined;\n};\n\n/**\n * @memberof Document\n * @returns {Document/RevisionInfo} - returns a {@link Document/RevisionInfo}\n */\nDocument.$$proto.getRevisionInfo = function () {\n  return new Document.RevisionInfo(this.getRevisionDate(), this.getRevisionNumber(), this.getRevisionRemark());\n};\n\n/**\n * @memberof Document\n * @returns {boolean} - returns true if the document contains revision info, otherwise false\n */\nDocument.$$proto.hasRevisionInfo = function () {\n  var revisionInfo = this.getRevisionInfo();\n  return !revisionInfo.isEmpty();\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getNotitle = function () {\n  return this.$notitle();\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getNoheader = function () {\n  return this.$noheader();\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getNofooter = function () {\n  return this.$nofooter();\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.hasHeader = function () {\n  return this['$header?']();\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.deleteAttribute = function (name) {\n  return this.$delete_attribute(name);\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.isAttributeLocked = function (name) {\n  return this['$attribute_locked?'](name);\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.parse = function (data) {\n  return this.$parse(data);\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getDocinfo = function (docinfoLocation, suffix) {\n  return this.$docinfo(docinfoLocation, suffix);\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.hasDocinfoProcessors = function (docinfoLocation) {\n  return this['$docinfo_processors?'](docinfoLocation);\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.counterIncrement = function (counterName, block) {\n  return this.$counter_increment(counterName, block);\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.counter = function (name, seed) {\n  return this.$counter(name, seed);\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getSafe = function () {\n  return this.safe;\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getCompatMode = function () {\n  return this.compat_mode;\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getSourcemap = function () {\n  return this.sourcemap;\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getCounters = function () {\n  return fromHash(this.counters);\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getCallouts = function () {\n  return this.$callouts();\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getBaseDir = function () {\n  return this.base_dir;\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getOptions = function () {\n  return fromHash(this.options);\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getOutfilesuffix = function () {\n  return this.outfilesuffix;\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getParentDocument = function () {\n  return this.parent_document;\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getReader = function () {\n  return this.reader;\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getConverter = function () {\n  return this.converter;\n};\n\n/**\n * @memberof Document\n */\nDocument.$$proto.getExtensions = function () {\n  return this.extensions;\n};\n\n// Document.Title API\n\n/**\n * @namespace\n * @module Document/Title\n */\nvar Title = Document.Title;\n\n/**\n * @memberof Document/Title\n */\nTitle.$$proto.getMain = function () {\n  return this.main;\n};\n\n/**\n * @memberof Document/Title\n */\nTitle.$$proto.getCombined = function () {\n  return this.combined;\n};\n\n/**\n * @memberof Document/Title\n */\nTitle.$$proto.getSubtitle = function () {\n  var subtitle = this.subtitle;\n  return subtitle === Opal.nil ? undefined : subtitle;\n};\n\n/**\n * @memberof Document/Title\n */\nTitle.$$proto.isSanitized = function () {\n  var sanitized = this['$sanitized?']();\n  return sanitized === Opal.nil ? false : sanitized;\n};\n\n/**\n * @memberof Document/Title\n */\nTitle.$$proto.hasSubtitle = function () {\n  return this['$subtitle?']();\n};\n\n// Inline API\n\n/**\n * @namespace\n * @extends AbstractNode\n */\nvar Inline = Opal.Asciidoctor.Inline;\n\n/**\n * Get the converted content for this inline node.\n *\n * @memberof Inline\n * @returns {string} - returns the converted String content for this inline node\n */\nInline.$$proto.convert = function () {\n  return this.$convert();\n};\n\n/**\n * Get the converted String text of this Inline node, if applicable.\n *\n * @memberof Inline\n * @returns {string} - returns the converted String text for this Inline node, or undefined if not applicable for this node.\n */\nInline.$$proto.getText = function () {\n  var text = this.$text();\n  return text === Opal.nil ? undefined : text;\n};\n\n/**\n * Get the String sub-type (aka qualifier) of this Inline node.\n *\n * This value is used to distinguish different variations of the same node\n * category, such as different types of anchors.\n *\n * @memberof Inline\n * @returns {string} - returns the string sub-type of this Inline node.\n */\nInline.$$proto.getType = function () {\n  return this.$type();\n};\n\n/**\n * Get the primary String target of this Inline node.\n *\n * @memberof Inline\n * @returns {string} - returns the string target of this Inline node.\n */\nInline.$$proto.getTarget = function () {\n  var target = this.$target();\n  return target === Opal.nil ? undefined : target;\n};\n\n// List API\n\n/** @namespace */\nvar List = Opal.Asciidoctor.List;\n\n/**\n * Get the Array of {@link ListItem} nodes for this {@link List}.\n *\n * @memberof List\n * @returns {Array} - returns an Array of {@link ListItem} nodes.\n */\nList.$$proto.getItems = function () {\n  return this.blocks;\n};\n\n// ListItem API\n\n/** @namespace */\nvar ListItem = Opal.Asciidoctor.ListItem;\n\n/**\n * Get the converted String text of this ListItem node.\n *\n * @memberof ListItem\n * @returns {string} - returns the converted String text for this ListItem node.\n */\nListItem.$$proto.getText = function () {\n  return this.$text();\n};\n\n// Reader API\n\n/** @namespace */\nvar Reader = Opal.Asciidoctor.Reader;\n\n/**\n * @memberof Reader\n */\nReader.$$proto.pushInclude = function (data, file, path, lineno, attributes) {\n  return this.$push_include(data, file, path, lineno, attributes);\n};\n\n/**\n * Get the current location of the reader's cursor, which encapsulates the\n * file, dir, path, and lineno of the file being read.\n *\n * @memberof Reader\n */\nReader.$$proto.getCursor = function () {\n  return this.$cursor();\n};\n\n/**\n * Get a copy of the remaining {Array} of String lines managed by this Reader.\n *\n * @memberof Reader\n * @returns {Array} - returns A copy of the String {Array} of lines remaining in this Reader.\n */\nReader.$$proto.getLines = function () {\n  return this.$lines();\n};\n\n/**\n * Get the remaining lines managed by this Reader as a String.\n *\n * @memberof Reader\n * @returns {string} - returns The remaining lines managed by this Reader as a String (joined by linefeed characters).\n */\nReader.$$proto.getString = function () {\n  return this.$string();\n};\n\n// Cursor API\n\n/** @namespace */\nvar Cursor = Opal.Asciidoctor.Reader.Cursor;\n\n/**\n * Get the file associated to the cursor.\n * @memberof Cursor\n */\nCursor.$$proto.getFile = function () {\n  var file = this.file;\n  return file === Opal.nil ? undefined : file;\n};\n\n/**\n * Get the directory associated to the cursor.\n * @memberof Cursor\n * @returns {string} - returns the directory associated to the cursor\n */\nCursor.$$proto.getDirectory = function () {\n  var dir = this.dir;\n  return dir === Opal.nil ? undefined : dir;\n};\n\n/**\n * Get the path associated to the cursor.\n * @memberof Cursor\n * @returns {string} - returns the path associated to the cursor (or '<stdin>')\n */\nCursor.$$proto.getPath = function () {\n  var path = this.path;\n  return path === Opal.nil ? undefined : path;\n};\n\n/**\n * Get the line number of the cursor.\n * @memberof Cursor\n * @returns {number} - returns the line number of the cursor\n */\nCursor.$$proto.getLineNumber = function () {\n  return this.lineno;\n};\n\n// Logger API (available in Asciidoctor 1.5.7+)\n// REMIND: we are using \"skip_missing\" because this API is only available starting with Asciidoctor 1.5.7\n\n/**\n * @namespace\n */\nvar LoggerManager = Opal.const_get_qualified(Opal.Asciidoctor, 'LoggerManager', true);\n\n// Alias\nOpal.Asciidoctor.LoggerManager = LoggerManager;\n\nif (LoggerManager) {\n  LoggerManager.getLogger = function () {\n    return this.$logger();\n  };\n\n  LoggerManager.setLogger = function (logger) {\n    this.logger = logger;\n  };\n}\n\n/**\n * @namespace\n */\nvar MemoryLogger = Opal.const_get_qualified(Opal.Asciidoctor, 'MemoryLogger', true);\n\n// Alias\nOpal.Asciidoctor.MemoryLogger = MemoryLogger;\n\nif (MemoryLogger) {\n  MemoryLogger.$$proto.getMessages = function () {\n    var messages = this.messages;\n    var result = [];\n    for (var i = 0; i < messages.length; i++) {\n      var message = messages[i];\n      var messageObject = fromHash(message);\n      // also convert the message attribute\n      messageObject.message = fromHash(messageObject.message);\n      result.push(messageObject);\n    }\n    return result;\n  };\n}\n\n// Extensions API\n\n/**\n * @private\n */\nvar toBlock = function (block) {\n  // arity is a mandatory field\n  block.$$arity = block.length;\n  return block;\n};\n\nvar registerExtension = function (registry, type, processor, name) {\n  if (typeof processor === 'function') {\n    return Opal.send(registry, type, name && [name], toBlock(processor));\n  } else {\n    return registry['$' + type](processor, name);\n  }\n};\n\n/**\n * @namespace\n * @description\n * Extensions provide a way to participate in the parsing and converting\n * phases of the AsciiDoc processor or extend the AsciiDoc syntax.\n *\n * The various extensions participate in AsciiDoc processing as follows:\n *\n * 1. After the source lines are normalized, {{@link Extensions/Preprocessor}}s modify or replace\n *    the source lines before parsing begins. {{@link Extensions/IncludeProcessor}}s are used to\n *    process include directives for targets which they claim to handle.\n * 2. The Parser parses the block-level content into an abstract syntax tree.\n *    Custom blocks and block macros are processed by associated {{@link Extensions/BlockProcessor}}s\n *    and {{@link Extensions/BlockMacroProcessor}}s, respectively.\n * 3. {{@link Extensions/TreeProcessor}}s are run on the abstract syntax tree.\n * 4. Conversion of the document begins, at which point inline markup is processed\n *    and converted. Custom inline macros are processed by associated {InlineMacroProcessor}s.\n * 5. {{@link Extensions/Postprocessor}}s modify or replace the converted document.\n * 6. The output is written to the output stream.\n *\n * Extensions may be registered globally using the {Extensions.register} method\n * or added to a custom {Registry} instance and passed as an option to a single\n * Asciidoctor processor.\n *\n * @example\n * Opal.Asciidoctor.Extensions.register(function () {\n *   this.block(function () {\n *     var self = this;\n *     self.named('shout');\n *     self.onContext('paragraph');\n *     self.process(function (parent, reader) {\n *       var lines = reader.getLines().map(function (l) { return l.toUpperCase(); });\n *       return self.createBlock(parent, 'paragraph', lines);\n *     });\n *   });\n * });\n */\nvar Extensions = Opal.const_get_qualified(Opal.Asciidoctor, 'Extensions');\n\n// Alias\nOpal.Asciidoctor.Extensions = Extensions;\n\n/**\n * Create a new {@link Extensions/Registry}.\n * @param {string} name\n * @param {function} block\n * @memberof Extensions\n * @returns {Extensions/Registry} - returns a {@link Extensions/Registry}\n */\nExtensions.create = function (name, block) {\n  if (typeof name === 'function' && typeof block === 'undefined') {\n    return Opal.send(this, 'build_registry', null, toBlock(name));\n  } else if (typeof block === 'function') {\n    return Opal.send(this, 'build_registry', [name], toBlock(block));\n  } else {\n    return this.$build_registry();\n  }\n};\n\n/**\n * @memberof Extensions\n */\nExtensions.register = function (name, block) {\n  if (typeof name === 'function' && typeof block === 'undefined') {\n    return Opal.send(this, 'register', null, toBlock(name));\n  } else {\n    return Opal.send(this, 'register', [name], toBlock(block));\n  }\n};\n\n/**\n * Get statically-registerd extension groups.\n * @memberof Extensions\n */\nExtensions.getGroups = function () {\n  return fromHash(this.$groups());\n};\n\n/**\n * Unregister all statically-registered extension groups.\n * @memberof Extensions\n */\nExtensions.unregisterAll = function () {\n  this.$unregister_all();\n};\n\n/**\n * Unregister the specified statically-registered extension groups.\n *\n * NOTE Opal cannot delete an entry from a Hash that is indexed by symbol, so\n * we have to resort to using low-level operations in this method.\n *\n * @memberof Extensions\n */\nExtensions.unregister = function () {\n  var names = Array.prototype.concat.apply([], arguments);\n  var groups = this.$groups();\n  var groupNameIdx = {};\n  for (var i = 0, groupSymbolNames = groups.$$keys; i < groupSymbolNames.length; i++) {\n    var groupSymbolName = groupSymbolNames[i];\n    groupNameIdx[groupSymbolName.toString()] = groupSymbolName;\n  }\n  for (var j = 0; j < names.length; j++) {\n    var groupStringName = names[j];\n    if (groupStringName in groupNameIdx) Opal.hash_delete(groups, groupNameIdx[groupStringName]);\n  }\n};\n\n/**\n * @namespace\n * @module Extensions/Registry\n */\nvar Registry = Extensions.Registry;\n\n/**\n * @memberof Extensions/Registry\n */\nRegistry.$$proto.getGroups = Extensions.getGroups;\n\n/**\n * @memberof Extensions/Registry\n */\nRegistry.$$proto.unregisterAll = function () {\n  this.groups = Opal.hash();\n};\n\n/**\n * @memberof Extensions/Registry\n */\nRegistry.$$proto.unregister = Extensions.unregister;\n\n/**\n * @memberof Extensions/Registry\n */\nRegistry.$$proto.block = function (name, processor) {\n  if (arguments.length === 1) {\n    processor = name;\n    name = null;\n  }\n  return registerExtension(this, 'block', processor, name);\n};\n\n/**\n * @memberof Extensions/Registry\n */\nRegistry.$$proto.inlineMacro = function (name, processor) {\n  if (arguments.length === 1) {\n    processor = name;\n    name = null;\n  }\n  return registerExtension(this, 'inline_macro', processor, name);\n};\n\n/**\n * @memberof Extensions/Registry\n */\nRegistry.$$proto.includeProcessor = function (processor) {\n  return registerExtension(this, 'include_processor', processor);\n};\n\n/**\n * @memberof Extensions/Registry\n */\nRegistry.$$proto.blockMacro = function (name, processor) {\n  if (arguments.length === 1) {\n    processor = name;\n    name = null;\n  }\n  return registerExtension(this, 'block_macro', processor, name);\n};\n\n/**\n * @memberof Extensions/Registry\n */\nRegistry.$$proto.treeProcessor = function (name, processor) {\n  if (arguments.length === 1) {\n    processor = name;\n    name = null;\n  }\n  return registerExtension(this, 'tree_processor', processor, name);\n};\n\n/**\n * @memberof Extensions/Registry\n */\nRegistry.$$proto.postprocessor = function (name, processor) {\n  if (arguments.length === 1) {\n    processor = name;\n    name = null;\n  }\n  return registerExtension(this, 'postprocessor', processor, name);\n};\n\n/**\n * @memberof Extensions/Registry\n */\nRegistry.$$proto.preprocessor = function (name, processor) {\n  if (arguments.length === 1) {\n    processor = name;\n    name = null;\n  }\n  return registerExtension(this, 'preprocessor', processor, name);\n};\n\n/**\n * @memberof Extensions/Registry\n */\n\nRegistry.$$proto.docinfoProcessor = function (name, processor) {\n  if (arguments.length === 1) {\n    processor = name;\n    name = null;\n  }\n  return registerExtension(this, 'docinfo_processor', processor, name);\n};\n\n/**\n * @namespace\n * @module Extensions/Processor\n */\nvar Processor = Extensions.Processor;\n\n/**\n * @memberof Extensions/Processor\n */\nProcessor.$$proto.process = function (block) {\n  return Opal.send(this, 'process', null, toBlock(block));\n};\n\n/**\n * @memberof Extensions/Processor\n */\nProcessor.$$proto.named = function (name) {\n  return this.$named(name);\n};\n\n/**\n * @memberof Extensions/Processor\n */\nProcessor.$$proto.createBlock = function (parent, context, source, attrs, opts) {\n  return this.$create_block(parent, context, source, toHash(attrs), toHash(opts));\n};\n\n/**\n * @memberof Extensions/Processor\n */\nProcessor.$$proto.createImageBlock = function (parent, attrs, opts) {\n  return this.$create_image_block(parent, toHash(attrs), toHash(opts));\n};\n\n/**\n * @memberof Extensions/Processor\n */\nProcessor.$$proto.createInline = function (parent, context, text, opts) {\n  return this.$create_inline(parent, context, text, toHash(opts));\n};\n\n/**\n * @memberof Extensions/Processor\n */\nProcessor.$$proto.parseContent = function (parent, content, attrs) {\n  return this.$parse_content(parent, content, attrs);\n};\n\n/**\n * @memberof Extensions/Processor\n */\nProcessor.$$proto.positionalAttributes = function (value) {\n  return this.$positional_attrs(value);\n};\n\n/**\n * @namespace\n * @module Extensions/BlockProcessor\n */\nvar BlockProcessor = Extensions.BlockProcessor;\n\n/**\n * @memberof Extensions/BlockProcessor\n */\nBlockProcessor.$$proto.onContext = function (context) {\n  return this.$on_context(context);\n};\n\n/**\n * @memberof Extensions/BlockProcessor\n */\nBlockProcessor.$$proto.onContexts = function () {\n  return this.$on_contexts(Array.prototype.slice.call(arguments));\n};\n\n/**\n * @namespace\n * @module Extensions/BlockMacroProcessor\n */\n// eslint-disable-next-line no-unused-vars\nvar BlockMacroProcessor = Extensions.BlockMacroProcessor;\n\n/**\n * @namespace\n * @module Extensions/IncludeProcessor\n */\nvar IncludeProcessor = Extensions.IncludeProcessor;\n\n/**\n * @memberof Extensions/IncludeProcessor\n */\nIncludeProcessor.$$proto.handles = function (block) {\n  return Opal.send(this, 'handles?', null, toBlock(block));\n};\n\n/**\n * @namespace\n * @module Extensions/TreeProcessor\n */\n// eslint-disable-next-line no-unused-vars\nvar TreeProcessor = Extensions.TreeProcessor;\n\n/**\n * @namespace\n * @module Extensions/Postprocessor\n */\n// eslint-disable-next-line no-unused-vars\nvar Postprocessor = Extensions.Postprocessor;\n\n/**\n * @namespace\n * @module Extensions/Preprocessor\n */\n// eslint-disable-next-line no-unused-vars\nvar Preprocessor = Extensions.Preprocessor;\n\n/**\n * @namespace\n * @module Extensions/DocinfoProcessor\n */\nvar DocinfoProcessor = Extensions.DocinfoProcessor;\n\n/**\n * @memberof Extensions/DocinfoProcessor\n */\nDocinfoProcessor.$$proto.atLocation = function (value) {\n  this.$at_location(value);\n};\n\n// Converter API\n\n/**\n * @namespace\n * @module Converter\n */\nvar Converter = Opal.const_get_qualified(Opal.Asciidoctor, 'Converter');\n\n// Alias\nOpal.Asciidoctor.Converter = Converter;\n\n/**\n * Convert the specified node.\n *\n * @param {AbstractNode} node - the AbstractNode to convert\n * @param {string} transform - an optional String transform that hints at\n * which transformation should be applied to this node.\n * @param {Object} opts - a JSON of options that provide additional hints about\n * how to convert the node (default: {})\n * @returns the {Object} result of the conversion, typically a {string}.\n * @memberof Converter\n */\nConverter.$$proto.convert = function (node, transform, opts) {\n  return this.$convert(node, transform, toHash(opts));\n};\n\n// The built-in converter doesn't include Converter, so we have to force it\nConverter.BuiltIn.$$proto.convert = Converter.$$proto.convert;\n\n// Converter Factory API\n\n/**\n * @namespace\n * @module Converter/Factory\n */\nvar ConverterFactory = Opal.Asciidoctor.Converter.Factory;\n\n/**\n * Retrieves the singleton instance of the converter factory.\n *\n * @param {boolean} initialize - instantiate the singleton if it has not yet\n * been instantiated. If this value is false and the singleton has not yet been\n * instantiated, this method returns a fresh instance.\n * @returns {Converter/Factory} an instance of the converter factory.\n * @memberof Converter/Factory\n */\nConverterFactory.getDefault = function (initialize) {\n  return this.$default(initialize);\n};\n\n/**\n * Create an instance of the converter bound to the specified backend.\n *\n * @param {string} backend - look for a converter bound to this keyword.\n * @param {Object} opts - a JSON of options to pass to the converter (default: {})\n * @returns {Converter} - a converter instance for converting nodes in an Asciidoctor AST.\n * @memberof Converter/Factory\n */\nConverterFactory.$$proto.create = function (backend, opts) {\n  return this.$create(backend, toHash(opts));\n};\n\n\nvar ASCIIDOCTOR_JS_VERSION = '1.5.6';\n\n  /**\n   * Get Asciidoctor.js version number.\n   *\n   * @memberof Asciidoctor\n   * @returns {string} - returns the version number of Asciidoctor.js.\n   */\n  Asciidoctor.$$proto.getVersion = function () {\n    return ASCIIDOCTOR_JS_VERSION;\n  };\n  return Opal.Asciidoctor;\n}));\n",
            "type": "application/javascript",
            "title": "$:/plugins/bimlas/asciidoctor/asciidoctor.js",
            "module-type": "library"
        },
        "$:/plugins/bimlas/asciidoctor/jsonml-dom.js": {
            "text": "/*\njsonml-dom.js\nHTML to JsonML utility\n\nCreated: 2007-02-15-2235\nModified: 2012-11-03-2051\n\nCopyright (c)2006-2012 Stephen M. McKamey\nDistributed under The MIT License: http://jsonml.org/license\n\nhttps://github.com/mckamey/jsonml/blob/master/jsonml-dom.js\n*/\n\n(function(){\n    var JsonML = JsonML || {};\n\n    'use strict';\n\n    var addChildren = function(/*DOM*/ elem, /*function*/ filter, /*JsonML*/ jml) {\n        if (elem.hasChildNodes()) {\n            for (var i=0; i<elem.childNodes.length; i++) {\n                var child = elem.childNodes[i];\n                child = fromHTML(child, filter);\n                if (child) {\n                    jml.push(child);\n                }\n            }\n            return true;\n        }\n        return false;\n    };\n\n    /**\n     * @param {Node} elem\n     * @param {function} filter\n     * @return {array} JsonML\n     */\n    var fromHTML = JsonML.fromHTML = function(elem, filter) {\n        if (!elem || !elem.nodeType) {\n            // free references\n            return (elem = null);\n        }\n\n        var i, jml;\n        switch (elem.nodeType) {\n            case 1:  // element\n            case 9:  // document\n            case 11: // documentFragment\n                jml = [elem.tagName.toLowerCase()||''];\n\n                var attr = elem.attributes,\n                    props = {},\n                    hasAttrib = false;\n\n                for (i=0; attr && i<attr.length; i++) {\n                    if (attr[i].specified) {\n                        if (attr[i].name === 'style') {\n                            props.style = elem.style.cssText || attr[i].value;\n                        } else if ('string' === typeof attr[i].value) {\n                            props[attr[i].name] = attr[i].value;\n                        }\n                        hasAttrib = true;\n                    }\n                }\n                if (hasAttrib) {\n                    jml.push(props);\n                }\n\n                var child;\n                switch (jml[0].toLowerCase()) {\n                    case 'frame':\n                    case 'iframe':\n                        try {\n                            if ('undefined' !== typeof elem.contentDocument) {\n                                // W3C\n                                child = elem.contentDocument;\n                            } else if ('undefined' !== typeof elem.contentWindow) {\n                                // Microsoft\n                                child = elem.contentWindow.document;\n                            } else if ('undefined' !== typeof elem.document) {\n                                // deprecated\n                                child = elem.document;\n                            }\n\n                            child = fromHTML(child, filter);\n                            if (child) {\n                                jml.push(child);\n                            }\n                        } catch (ex) {}\n                        break;\n                    case 'style':\n                        child = elem.styleSheet && elem.styleSheet.cssText;\n                        if (child && 'string' === typeof child) {\n                            // unwrap comment blocks\n                            child = child.replace('<!--', '').replace('-->', '');\n                            jml.push(child);\n                        } else if (elem.hasChildNodes()) {\n                            for (i=0; i<elem.childNodes.length; i++) {\n                                child = elem.childNodes[i];\n                                child = fromHTML(child, filter);\n                                if (child && 'string' === typeof child) {\n                                    // unwrap comment blocks\n                                    child = child.replace('<!--', '').replace('-->', '');\n                                    jml.push(child);\n                                }\n                            }\n                        }\n                        break;\n                    case 'input':\n                        addChildren(elem, filter, jml);\n                        child = (elem.type !== 'password') && elem.value;\n                        if (child) {\n                            if (!hasAttrib) {\n                                // need to add an attribute object\n                                jml.shift();\n                                props = {};\n                                jml.unshift(props);\n                                jml.unshift(elem.tagName||'');\n                            }\n                            props.value = child;\n                        }\n                        break;\n                    case 'textarea':\n                        if (!addChildren(elem, filter, jml)) {\n                            child = elem.value || elem.innerHTML;\n                            if (child && 'string' === typeof child) {\n                                jml.push(child);\n                            }\n                        }\n                        break;\n                    default:\n                        addChildren(elem, filter, jml);\n                        break;\n                }\n\n                // filter result\n                if ('function' === typeof filter) {\n                    jml = filter(jml, elem);\n                }\n\n                // free references\n                elem = null;\n                return jml;\n            case 3: // text node, or a simple newline in the case of Asciidoctor\n                    // See the .childNodes of a <div> element\n                    // https://stackoverflow.com/a/18850683\n            case 4: // CDATA node\n                var str = String(elem.nodeValue.replace(/^\\n$/, ''));\n                // free references\n                elem = null;\n                return str;\n            case 10: // doctype\n                jml = ['!'];\n\n                var type = ['DOCTYPE', (elem.name || 'html').toLowerCase()];\n\n                if (elem.publicId) {\n                    type.push('PUBLIC', '\"' + elem.publicId + '\"');\n                }\n\n                if (elem.systemId) {\n                    type.push('\"' + elem.systemId + '\"');\n                }\n\n                jml.push(type.join(' '));\n\n                // filter result\n                if ('function' === typeof filter) {\n                    jml = filter(jml, elem);\n                }\n\n                // free references\n                elem = null;\n                return jml;\n            case 8: // comment node\n                if ((elem.nodeValue||'').indexOf('DOCTYPE') !== 0) {\n                    // free references\n                    elem = null;\n                    return null;\n                }\n\n                jml = ['!',\n                    elem.nodeValue];\n\n                // filter result\n                if ('function' === typeof filter) {\n                    jml = filter(jml, elem);\n                }\n\n                // free references\n                elem = null;\n                return jml;\n            default: // etc.\n                // free references\n                return (elem = null);\n        }\n    };\n\n    /**\n     * @param {string} html HTML text\n     * @param {function} filter\n     * @return {array} JsonML\n     */\n    var fromHTMLText = JsonML.fromHTMLText = function(html, filter) {\n        var elem = document.createElement('div');\n        elem.innerHTML = html;\n\n        var jml = fromHTML(elem, filter);\n\n        // free references\n        elem = null;\n\n        // make wrapper a document fragment\n        jml.shift();\n        return jml;\n    };\n\n    module.exports = JsonML;\n})();\n",
            "type": "application/javascript",
            "title": "$:/plugins/bimlas/asciidoctor/jsonml-dom.js",
            "module-type": "library"
        },
        "$:/plugins/bimlas/asciidoctor/images/new-asciidoctor-button": {
            "title": "$:/plugins/bimlas/asciidoctor/images/new-asciidoctor-button",
            "tags": "$:/tags/Image",
            "text": "<svg class=\"tc-image-new-asciidoctor-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n    <g fill-rule=\"evenodd\">\n        <path d=\" M 72.449 0.001 C 70.69 0.034 69.118 1.062 68.441 2.621 L 41.941 63.824 C 41.291 65.237 41.488 66.876 42.456 68.109 C 43.423 69.342 45.01 69.975 46.603 69.764 C 48.196 69.553 49.545 68.531 50.129 67.093 L 72.503 15.414 L 119.43 125.282 C 120.011 126.718 121.354 127.742 122.943 127.958 C 124.532 128.174 126.119 127.549 127.092 126.323 C 128.065 125.098 128.273 123.464 127.635 122.049 L 76.635 2.642 C 75.941 1.017 74.278 -0.032 72.449 0.001 L 72.449 0.001 Z \" />\n        <path d=\" M 34.884 86.813 C 33.104 86.849 31.519 87.904 30.858 89.491 L 16.773 122.03 C 16.145 123.438 16.353 125.062 17.318 126.282 C 18.283 127.502 19.857 128.13 21.438 127.927 C 23.02 127.723 24.365 126.72 24.962 125.299 L 39.048 92.76 C 39.647 91.43 39.5 89.898 38.658 88.694 C 37.815 87.491 36.393 86.782 34.884 86.813 L 34.884 86.813 Z \" />\n        <path d=\" M 4.523 84.132 C 2.918 84.102 1.421 84.906 0.609 86.236 C -0.203 87.566 -0.203 89.214 0.609 90.543 C 1.421 91.873 2.918 92.678 4.523 92.647 L 55.733 92.647 C 57.339 92.678 58.836 91.873 59.648 90.543 C 60.46 89.214 60.46 87.566 59.648 86.236 C 58.836 84.906 57.339 84.102 55.733 84.132 L 4.523 84.132 Z \" />\n        <path d=\" M 13.898 63.918 C 12.292 63.887 10.795 64.691 9.983 66.021 C 9.17 67.351 9.17 68.999 9.983 70.329 C 10.795 71.659 12.292 72.464 13.898 72.432 L 65.103 72.432 C 66.708 72.464 68.206 71.659 69.018 70.329 C 69.83 68.999 69.83 67.351 69.018 66.021 C 68.206 64.691 66.708 63.887 65.103 63.918 L 13.898 63.918 Z \" />\n    </g>\n</svg>\n"
        },
        "$:/plugins/bimlas/asciidoctor/new-asciidoctor-button": {
            "title": "$:/plugins/bimlas/asciidoctor/new-asciidoctor-button",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/plugins/bimlas/asciidoctor/images/new-asciidoctor-button}} {{$:/language/Buttons/NewAsciidoctor/Caption}}",
            "description": "{{$:/language/Buttons/NewAsciidoctor/Hint}}",
            "list-after": "$:/core/ui/Buttons/new-tiddler",
            "text": "<$button tooltip={{$:/language/Buttons/NewAsciidoctor/Hint}} aria-label={{$:/language/Buttons/NewAsciidoctor/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-new-tiddler\" type=\"text/asciidoc\"/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/plugins/bimlas/asciidoctor/images/new-asciidoctor-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewAsciidoctor/Caption}}/></span>\n</$list>\n</$button>\n"
        },
        "$:/plugins/bimlas/asciidoctor/readme": {
            "title": "$:/plugins/bimlas/asciidoctor/readme",
            "text": "This is a TiddlyWiki plugin for parsing Asciidoctor text, based on the [[Asciidoctor.js|https://github.com/asciidoctor/asciidoctor.js]] project from Asciidoctor Project.\n\nIt is completely self-contained, and doesn't need an Internet connection in order to work. It works both in the browser and under Node.js.\n\n[[Source code|https://gitlab.com/bimlas/tw5-asciidoctor]]\n\n! Installation\n\nTo add the plugin to your own TiddlyWiki5, just drag this link to the browser window:\n\n[[$:/plugins/bimlas/asciidoctor]]\n"
        },
        "$:/plugins/bimlas/asciidoctor/usage": {
            "title": "$:/plugins/bimlas/asciidoctor/usage",
            "text": "! Asciidoctor reference\n\n* Asciidoctor quick reference: https://asciidoctor.org/docs/asciidoc-syntax-quick-reference/\n* Asciidoctor manual: https://asciidoctor.org/docs/user-manual/\n\n! Creating WikiLinks\n\nCreate wiki links with the usual Asciidoctor link syntax targeting `#` and the target tiddler title:\n\n```\nlink:#TiddlerTitle[link text]\n```\n\n! Include (transclusion)\n\nI cannot found a solution to transclude tiddlers in to Asciidoctor documents\n\n```\ninclude::TiddlerTitle[]\n```\n\nbut embedding Asciidoctor tiddlers in general ones works normally.\n\n```\n{{AsciidoctorTiddler}}\n```\n\n! Internal links\n\nThe dynamically generated intra-tiddler links does not work, try out the footnote\nin the example: TiddlyWiki interprets it as a link to another tiddler.\n\n! Drag-n-drop files\n\nAsciidoc mime type is [[not registered yet|https://github.com/asciidoctor/asciidoctor/issues/2502]], thus drag-n-drop the files does not set filetype automatically, you have to do it manually.\n"
        },
        "$:/plugins/bimlas/asciidoctor/wrapper.js": {
            "title": "$:/plugins/bimlas/asciidoctor/wrapper.js",
            "text": "/*\\\ntitle: $:/plugins/bimlas/asciidoctor/wrapper.js\ntype: application/javascript\nmodule-type: parser\n\nWraps up the Asciidoctor.js parser for use in TiddlyWiki5\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar asciidoctor_parser = require(\"$:/plugins/bimlas/asciidoctor/asciidoctor\")({\n  runtime: {\n    ioModule: 'xmlhttprequest'\n  }\n});\nvar jsonml = require(\"$:/plugins/bimlas/asciidoctor/jsonml-dom\");\n\nfunction transformNodes(nodes) {\n\tvar results = [];\n\tfor(var index=0; index<nodes.length; index++) {\n\t\tresults.push(transformNode(nodes[index]));\n\t}\n\treturn results;\n}\n\nfunction transformNode(node) {\n\tif($tw.utils.isArray(node)) {\n\t\tvar p = 0,\n\t\t\twidget = {type: \"element\", tag: node[p++]};\n\t\tif(!$tw.utils.isArray(node[p]) && typeof(node[p]) === \"object\") {\n\t\t\twidget.attributes = {};\n\t\t\t$tw.utils.each(node[p++],function(value,name) {\n\t\t\t\twidget.attributes[name] = {type: \"string\", value: value};\n\t\t\t});\n\t\t}\n\t\twidget.children = transformNodes(node.slice(p++));\n\t\t// Massage images into the image widget\n\t\tif(widget.tag === \"img\") {\n\t\t\twidget.type = \"image\";\n\t\t\tif(widget.attributes.alt) {\n\t\t\t\twidget.attributes.tooltip = widget.attributes.alt;\n\t\t\t\tdelete widget.attributes.alt;\n\t\t\t}\n\t\t\tif(widget.attributes.src) {\n\t\t\t\twidget.attributes.source = widget.attributes.src;\n\t\t\t\tdelete widget.attributes.src;\n\t\t\t}\n\t\t}\n\t\t// Convert internal links to proper wikilinks\n\t\tif (widget.tag === \"a\" && widget.attributes.href.value[0] === \"#\") {\n\t\t\twidget.type = \"link\";\n\t\t\twidget.attributes.to = widget.attributes.href;\n\t\t\tif (widget.attributes.to.type === \"string\") {\n\t\t\t\t//Remove '#' before conversion to wikilink\n\t\t\t\twidget.attributes.to.value = widget.attributes.to.value.substr(1);\n\t\t\t}\n\t\t\t//Children is fine\n\t\t\tdelete widget.tag;\n\t\t\tdelete widget.attributes.href;\n\t\t}\n\t\treturn widget;\n\t} else {\n\t\treturn {type: \"text\", text: node};\n\t}\n}\n\nvar AsciidoctorParser = function(type,text,options) {\n\tvar html_text = asciidoctor_parser.convert(text),\n\t\tnode_tree = jsonml.fromHTMLText(html_text, null),\n\t\ttiddler_tree = transformNodes(node_tree);\n\tthis.tree = tiddler_tree;\n};\n\nexports[\"text/asciidoc\"] = AsciidoctorParser;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "parser"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/bimlas/locator/README/CHANGELOG": {
            "title": "$:/plugins/bimlas/locator/README/CHANGELOG",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "Unreleased\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-locator/compare/master...dev]]\n\n!! 2.0.0\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-locator/compare/v1.5.0...v2.0.0]]\n\n''ALMOST COMPLETE REWRITING, BACKWARDS INCOMPATIBLE CHANGES ARE INTRODUCED''\n\n* ''It does not require the `kin` filter operator at all''\n* ''You can filter to any field besides the tags''\n* You can use the standard search from any `locator-view`\n* You can use any field to link tiddlers (as \"tags\")\n* You can also navigate through tiddler links\n* You can use arbitrary templates to display context items and field values\n* ''INCOMPATIBLE CHANGES''<br />//Before upgrading to the new version, make a backup (as before upgrading any plugin) and make the following changes.//\n** Renamed `locator-tags` to `locator-fields`<br />//Change the macro call in your tiddlers//\n** `locator-view` does not supporting `finalFilter` and `tagFilter`<br />//Remove them from your macrocalls//\n** Removed `filter-grandchildren` filter<br />//Because it can no longer be passed through parameters.//\n** The \"Open in Locator sidebar\" toolbar button is moved from `$:/plugins/bimlas/locator/viewtemplate/open-in-sidebar` to `$:/plugins/bimlas/locator/viewtemplate/open-in-sidebar` and its code is changed as well<br />//Compare the old tiddler with the shadow and note the changes if any. Transfer them to the new tiddler and delete the old tiddler.//\n\n!! 1.5.0\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-locator/compare/v1.4.0...v1.5.0]]\n\n* Move tiddler from current context to higher- or subtopic by drag-n-dropping in the Locator sidebar\n* Assign any tiddler to any of the titles in the Locator sidebar by drag-n-dropping\n* Show the (top-level) base tag to be able to move the tiddler titles there\n* Add button to open search results in advanced search\n* Show buttons using the Kin filter only when the filter operator is available\n* Fix related tag issue (not all of them were listed)\n* Fix whitespace issue\n* Refactor the code\n* Add tutorial to the demo\n\n!! 1.4.0\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-locator/compare/v1.3.1...v1.4.0]]\n\n* When there was a space in the search string and \"new tiddler\" button is used from search, the tiddler title was encapsulated (`[[title with spaces]]`)\n* When there was a space in any of the breadcrumbs in sidebar and \"new tiddler\" button is used from it, the tiddler got all of the breadcrumb tags, the title with spaces was encapsulated (literally `[[title with spaces]]` tag)\n* Add more tips to [[$:/plugins/bimlas/locator/README/TIPS]]\n* Add descriptive tooltip to buttons\n\n!! 1.3.1\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-locator/compare/v1.3.0...v1.3.1]]\n\n* Add base tag if there is no breadcrumbs when creating new tiddler in current context\n* Reword documentation\n\n!! 1.3.0\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-locator/compare/v1.2.0...v1.3.0]]\n\n* Create new tiddler from search text\n\n!! 1.2.0\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-locator/compare/v1.1.0...v1.2.0]]\n\n* Add button to create new tiddler in current context\n* Ability to use additional filter on tags\n\n!! 1.1.0\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-locator/compare/v1.0.0...v1.1.0]]\n\n* ''I realized that most functions work without the `kin` filter''\n* Use the same \"style\" for breadcrumb- and list items\n* Show real tags instead of tag pills\n* Turn off filter of direct tag in the breadcrumbs by its tag icon\n* Ancestor tags in breadcrumbs of search are operating like direct labels, they can be removed one by one\n\n!! 1.0.0\n\n* First public release\n"
        },
        "$:/plugins/bimlas/locator/README/README": {
            "title": "$:/plugins/bimlas/locator/README/README",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "! Locator\n\nLocator provides ''a universal interface for navigating between your tiddlers and searching, filtering them'' without the need to write [[filter expressions|https://tiddlywiki.com/#Filters]]. The plugin contains ''a table of contents widget and an enhanced search engine'' that contains a ''visual filter builder to filter results by tags and field values''. You can ''organize the tiddlers to any number of trees, even by custom fields or links in text''. Unlike [[classic Table of Contents|https://tiddlywiki.com/#Table-of-Contents%20Macros%20(Examples)]], [[standard search|$:/core/ui/AdvancedSearch/Standard]], [[filter search|$:/core/ui/AdvancedSearch/Filter]] and [[list of tags|$:/core/ui/MoreSideBar/Tags]], this plugin handles these functions organically.\n\n* https://bimlas.gitlab.io/tw5-locator (demo + install)\n* https://gitlab.com/bimlas/tw5-locator (main repository)\n* https://github.com/bimlas/tw5-locator (mirror, ''please star if you like the plugin'')\n\n! Benefits compared to built-in solutions\n\n* ''Shows field values''<br/>You can mark a tiddler with multiple tags and field values, but in the classic ToC you don't see them while browsing, in Locator you can apply them as filters.\n* ''Easy way to search for field values''<br/>Find tags, field values in the standard search based on part of their name or view the all fields of the search results at a glance.\n* ''Limit the scope of search''<br/>You don't have to store your recipes and family tree in a separate wiki just to make them easier to find: you can define the scope of your search with some clicks (without the need to write filters in [[$:/AdvancedSearch]]).\n* ''Reorder the hierarchy with drag-n-drop''<br />You can easily move tiddlers between topics by drag-n-dropping them.\n* ''Create mindmaps''<br />You can associate tiddlers with any field other than the tag, so you can create complex graphs that you can browse through text only user interface.\n* ''There is no need to include a table of contents in the main tiddler of each topic''<br/>Just press the \"Locator sidebar\" button on the tiddler's toolbar and you can browse it's children, links right away in the sidebar.\n* ''Create new tiddler in current scope''<br />The \"new tiddler\" button in Locator creates a new tiddler pre-filled with the currently selected field values and named by the search query (like a special \"new here\" button).\n* ''Phone friendlier''<br/>The width of the classic ToC is increasing and the size of the text is decrasing as we move down in the context, while Locator remains readable.\n\n! Usage\n\nSee the [[demo|https://bimlas.gitlab.io/tw5-locator]] for a complete tutorial\n\n! Installation instructions\n\n''The plugin consists of separate parts'', each of them can be used on its own, so ''it is possible to use only the parts you like'', but they can be used most effectively together because ''they interact with each other''.\n\nTo add the plugin to your own ~TiddlyWiki5, just drag this link to the browser window and ''create or drag the required tiddlers from the demo'':\n\n$:/plugins/bimlas/locator\n\nFor other installation options see the links above.\n\n//Select the next tab to continue.//\n"
        },
        "$:/plugins/bimlas/locator/README/TIPS": {
            "title": "$:/plugins/bimlas/locator/README/TIPS",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "! Tips\n\n!! Organic navigation\n\n* In `locator-fields`, look for a tag and apply it recursively; the `locator-search` only affects tiddlers associated with it at any depth\n* Click on the tag in `locator-fields` and open its tiddler, then click on the \"locator sidebar\" button; the `locator-view` sidebar will show it's hierarchy\n* Navigate in the hierarchy in `locator-view` sidebar then search for a term in `locator-search`; pressing the \"search in context\" button restricting the search to the context of `locator-view` sidebar\n* If you cannot find what you are searching for, then you may want to create a new tiddler, use the \"new tiddler\" button in one of the Locator macros\n\n!! Taking good habits\n\n''To get the least chance of writing the same note you wrote earlier, look for a new tiddler before creating a note. To force yourself'', hide the \"new tiddler\" button inside the Page Toolbar and ''use the \"new tiddler\" button inside the Locator search'', so if you want to create a new tiddler you must first look for it. If you are absolutely sure that there is no tiddler yet and you need to create a new tiddler, this solution is also useful because search text defines the default name of the new tiddler.\n\n!! Let the \"Locator sidebar\" button automatically focus to the Locator sidebar\n\nFor example, the More -> Tags sidebar is currently open when we use the \"Locator sidebar\" toolbar button on one of the tiddlers, but we do not see the effect because the Locator sidebar is not visible, thus we need to modify to let button automatically open the corresponding sidebar.\n\n* If we don't know exactly, look for the sidebar tiddler's title (used as `text` parameter in the code below)\n** Open the Advanced Search -> Filter and look for the sidebar name in the `caption` field, for example `[caption[Locator]]` will result [[Locator view]]\n* Find the state tiddler that contains the sidebar tiddler's title (used as `$tiddler` parameter in the code below)\n** Open the Advanced Search -> Filter and look for `[text[Locator view]]` for example\n** Switch between Locator sidebar and another sidebar to see which state tiddler is changing, this is what we are looking for ([[$:/state/tab/sidebar--595412856]] for example)\n* Use the name of the state tiddler and the title of the sidebar in the code below and add this line to [[$:/plugins/bimlas/locator/viewtemplate/open-in-sidebar]] tiddler\n\n```\n<!-- Original code of the button... -->\n...\n<$button tooltip=\"Browse hierarchy of tag in Locator sidebar\" aria-label=\"locator sidebar\" class=<<tv-config-toolbar-class>>>\n<!-- ADD THIS LINE -->\n<$action-setfield $tiddler=\"$:/state/tab/sidebar--595412856\" text=\"Locator view\"/>\n```\n\nIf you rename the sidebar, you must also update this change! See [[this thread on Google Groups|https://groups.google.com/d/msg/tiddlywiki/xAe_fvhzoCY/UoKZc7ZZDQAJ]] for details.\n\n!! Speed up (on phones)\n\n!!! Conditional view\n\nBecause we don't look at the table of contents and search results at the same time, we can ''hide the Locator while we are using the standard search''.\n\nTo achieve this, place the Locator view in the following condition:\n\n```\n<$reveal type=\"match\" default=\"\" text={{{ [prefix[$:/state/popup/search-dropdown]] }}}>\n  <<locator-view baseTitle:\"TableOfContents\">>\n</$reveal>\n```\n\n''When you open TiddlyWiki'', the search entry is in focus by default, so ''the Locator sidebar is not visible''. To fix this, change the text of [[$:/config/Search/AutoFocus]] [[hidden setting|https://tiddlywiki.com/#Hidden%20Setting%3A%20Search%20AutoFocus]] to `false`.\n\n//Select the next tab to continue.//\n"
        },
        "$:/plugins/bimlas/locator/README/macros": {
            "title": "$:/plugins/bimlas/locator/README/macros",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "! Usage of the macros\n\n!! `locator-view`\n\nThis is ''a [[Table of Contents macro|https://tiddlywiki.com/#Table-of-Contents%20Macros%20(Examples)]] that lets you navigate the wiki'' just as you would with a file manager on the file system. The macro can be placed anywhere you want, for example put it in the sidebar.\n\n* Create a new tiddler\n* Add the [[$:/tags/SideBar]] tag\n* Add the `caption` field to change the title of the tab (\"Contents\" for example)\n* Call the macro by placing this text in the tiddler:\n\n```\n<<locator-view baseTitle:\"TableOfContents\">>\n```\n\nOptional parameters:\n\n; `fieldOfRelationship` (`tags` by default)\n: The default field which the tree is based on.\n\n; `templateOfContextItems` (`$:/plugins/bimlas/locator/field-templates/link` by default)\n: The default template to display the context items with.\n\n!! `locator-search` and `locator-fields`\n\nThe `locator-search` macro can be used in the same way as standard search, but ''you can narrow the scope of the search to the context by the fields filter'', in `locator-fields` you can `search for field values`.\n\n* Create a new tiddler\n* Add the [[$:/tags/SearchResults]] tag\n* Add the `caption` field to change the title of the tab (\"Locator\" for example)\n* Call the macro by placing this text in the tiddler:\n\n```\n<<locator-search>>\n```\n\nDo the same with `<<locator-fields>>` macro.\n\nIf you want to use `locator-fields` in the sidebar (like the sidebar -> More -> Tags tab) insted of standard search, you should also define the `searchTiddler` variable before the macro call:\n\n* Create a new tiddler\n* Add the [[$:/tags/SideBar]] tag\n* Add the `caption` field to change the title of the tab (\"Fields\" for example)\n* Call the macro by placing this text in the tiddler:\n\n```\n<$vars searchTiddler=\" \">\n  <<locator-fields>>\n</$vars>\n```\n\n//Select the next tab to continue.//\n"
        },
        "$:/plugins/bimlas/locator/actions/add-field-value": {
            "title": "$:/plugins/bimlas/locator/actions/add-field-value",
            "tags": "$:/tags/Actions",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define assign-value()\n  <$action-setfield $tiddler=<<actionTiddler>> $field=<<currentField>> $value=<<currentTiddler>>/>\n\\end\n\n\\define assign-list-item()\n  <$action-listops $tiddler=<<actionTiddler>> $field=<<currentField>> $subfilter=\"[all[current]]\"/>\n\\end\n\n<$list filter=\"[title<currentField>subfilter<filter-field-is-list>]\" emptyMessage=<<assign-value>> variable=\"null\">\n  <<assign-list-item>>\n</$list>\n"
        },
        "$:/plugins/bimlas/locator/actions/add-to-history": {
            "title": "$:/plugins/bimlas/locator/actions/add-to-history",
            "tags": "$:/tags/Actions",
            "type": "text/vnd.tiddlywiki",
            "text": "<$action-listops $tiddler=<<contextState>> $field=\"history\" $subfilter=\"[all[current]]\"/>\n{{$:/plugins/bimlas/locator/actions/remove-filters}}\n"
        },
        "$:/plugins/bimlas/locator/actions/move-to-another-context": {
            "title": "$:/plugins/bimlas/locator/actions/move-to-another-context",
            "tags": "$:/tags/Actions",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define add-action-tiddler-to-current-tiddler()\n  <$tiddler tiddler={{{ [subfilter<filter-history>last[]] }}}>\n    {{||$:/plugins/bimlas/locator/actions/remove-field-value}}\n  </$tiddler>\n  {{||$:/plugins/bimlas/locator/actions/add-field-value}}\n\\end\n\n\\define add-current-tiddler-to-action-tiddler()\n  <$vars originalCurrentTiddler=<<currentTiddler>>>\n    <$tiddler tiddler=<<actionTiddler>>>\n      <$vars actionTiddler={{{ [subfilter<filter-history>last[]] }}}>\n        {{||$:/plugins/bimlas/locator/actions/remove-field-value}}\n      </$vars>\n      <$vars actionTiddler=<<originalCurrentTiddler>>>\n        {{||$:/plugins/bimlas/locator/actions/add-field-value}}\n      </$vars>\n    </$tiddler>\n  </$vars>\n\\end\n\n<$list filter=\"[title<contextState>locator-direction-of-traverse<currentField>regexp[to]]\" emptyMessage=<<add-current-tiddler-to-action-tiddler>> variable=\"null\">\n  <<add-action-tiddler-to-current-tiddler>>\n</$list>\n"
        },
        "$:/plugins/bimlas/locator/actions/remove-field-value": {
            "title": "$:/plugins/bimlas/locator/actions/remove-field-value",
            "tags": "$:/tags/Actions",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define remove-value()\n  <$action-setfield $tiddler=<<actionTiddler>> $field=<<currentField>> $value=\"\"/>\n\\end\n\n\\define remove-list-item()\n  <$action-listops $tiddler=<<actionTiddler>> $field=<<currentField>> $subfilter=\"-[all[current]]\"/>\n\\end\n\n<$list filter=\"[title<currentField>subfilter<filter-field-is-list>]\" emptyMessage=<<remove-value>> variable=\"null\">\n  <<remove-list-item>>\n</$list>\n"
        },
        "$:/plugins/bimlas/locator/actions/remove-filters": {
            "title": "$:/plugins/bimlas/locator/actions/remove-filters",
            "tags": "$:/tags/Actions",
            "type": "text/vnd.tiddlywiki",
            "text": "<$action-deletetiddler $tiddler=<<intersectionState>>/>\n<$action-deletetiddler $tiddler=<<differenceState>>/>\n<$action-setfield $tiddler=<<contextState>> opened-fields-filters=\"\"/>"
        },
        "$:/plugins/bimlas/locator/buttons/clear-search-input": {
            "title": "$:/plugins/bimlas/locator/buttons/clear-search-input",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<$button tooltip=\"Clear search text, show all results\" class=<<link-button-class>>>\n  <$action-setfield $tiddler=\"$:/temp/search\" text=\"   \"/>\n  {{$:/core/images/preview-open}}\n</$button>\n"
        },
        "$:/plugins/bimlas/locator/buttons/collapse-history": {
            "title": "$:/plugins/bimlas/locator/buttons/collapse-history",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<$button tooltip=\"Collapse history\" class=<<link-button-class>>>\n  <$action-listops $tiddler=<<contextState>> $field=\"history\" $filter=\"[title<contextState>each:list-item[history]last[]]\"/>\n  {{$:/core/images/fold-button}}\n</$button>\n"
        },
        "$:/plugins/bimlas/locator/buttons/context-arrow": {
            "title": "$:/plugins/bimlas/locator/buttons/context-arrow",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<$list filter=\"[title<contextState>field:invert-direction[yes]]\" emptyMessage={{$:/core/images/right-arrow}}>\n  {{$:/core/images/left-arrow}}\n</$list>\n"
        },
        "$:/plugins/bimlas/locator/buttons/copy-filter-to-advanced-search": {
            "title": "$:/plugins/bimlas/locator/buttons/copy-filter-to-advanced-search",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<!--\nSince the search term may contain characters that affect the filter, I\ndo not copy the search term, I just refer to the tiddler.\n-->\n<$wikify name=\"filter\" text=\"<<filter-search-context>> +[search{<<searchTiddler>>}]\">\n  <$button tooltip=\"Continue filtering in advanced search\" class=<<link-button-class>>>\n    <$action-setfield $tiddler=\"$:/temp/advancedsearch\" text=<<filter>>/>\n    <$action-setfield $tiddler=\"$:/state/tab--1498284803\" text=\"$:/core/ui/AdvancedSearch/Filter\"/>\n    <$action-navigate $to=\"$:/AdvancedSearch\"/>\n    {{$:/core/images/advanced-search-button}}\n  </$button>\n</$wikify>\n"
        },
        "$:/plugins/bimlas/locator/buttons/create-new-tiddler": {
            "title": "$:/plugins/bimlas/locator/buttons/create-new-tiddler",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define add-as-list()\n  <$action-listops $tiddler=\"$:/temp/bimlas/locator/new-tiddler\" $field=<<field>> $subfilter=<<__valueAsFilter__>>/>\n\\end\n\n\\define add-as-value()\n  <$action-setfield $tiddler=\"$:/temp/bimlas/locator/new-tiddler\" $field=<<field>> $value={{{ [subfilter<__valueAsFilter__>] }}}/>\n\\end\n\n\\define add-field-value(valueAsFilter)\n  <$list filter=\"[title<field>subfilter<filter-field-is-list>]\" emptyMessage=<<add-as-value>>>\n    <<add-as-list>>\n  </$list>\n\\end\n\n\\define add-filters-as-field-values()\n  <$list filter=\"[title<intersectionState>indexes[]]\" variable=\"field\">\n    <$list filter=\"[title<intersectionState>locator-selected-field-values<field>first[]]\">\n      <<add-field-value \"[title<intersectionState>locator-selected-field-values<field>]\">>\n    </$list>\n  </$list>\n\\end\n\n\\define add-to-current-context()\n  <$set name=\"field\" filter=<<filter-field-of-relationship>>>\n    <<add-field-value \"[subfilter<filter-history>last[]]\">>\n  </$set>\n\\end\n\n<$button tooltip=\"Create new tiddler in the current context\" class=<<link-button-class>>>\n  <<add-filters-as-field-values>>\n  <<add-to-current-context>>\n  <$action-sendmessage $message=\"tm-new-tiddler\" $param=\"$:/temp/bimlas/locator/new-tiddler\" title={{{ [title<titleOfNewTiddler>] [title{$:/language/DefaultNewTiddlerTitle}] -[[]] +[first[]] }}}/>\n  <$action-deletetiddler $tiddler=\"$:/temp/bimlas/locator/new-tiddler\"/>\n  {{$:/core/images/new-button}}\n</$button>\n"
        },
        "$:/plugins/bimlas/locator/buttons/go-down-to-context": {
            "title": "$:/plugins/bimlas/locator/buttons/go-down-to-context",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define node()\n  <$button tooltip=\"Go to context, show chidlren of this tiddler\" class=<<link-button-class>> actions={{$:/plugins/bimlas/locator/actions/add-to-history}}>\n    {{$:/plugins/bimlas/locator/buttons/context-arrow}}\n  </$button>\n\\end\n\n\\define leaf()\n  <$button class=<<link-button-class>>>\n    {{$:/core/images/blank}}\n  </$button>\n\\end\n\n\\define go-down-to-context()\n  <!-- I have to use macro to use $(...)$ in filter expression -->\n  <$list filter=\"[all[current]locator-enlist-children:$(currentField)$<contextState>] [title<contextState>field:allow-to-open-leaves[yes]] +[first[]]\" emptyMessage=<<leaf>> variable=\"null\"><<node>></$list>\n\\end\n\n<<go-down-to-context>>\n"
        },
        "$:/plugins/bimlas/locator/buttons/go-up-to-context": {
            "title": "$:/plugins/bimlas/locator/buttons/go-up-to-context",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define actions()\n  <$action-listops $tiddler=<<contextState>> $field=\"history\" $filter=\"[subfilter<filter-history>allbefore<currentTiddler>] [all[current]]\"/>\n  {{$:/plugins/bimlas/locator/actions/remove-filters}}\n\\end\n\n<$button tooltip=\"Go to context, show chidlren of this tiddler\" class=<<link-button-class>> actions=<<actions>>>\n  {{$:/plugins/bimlas/locator/buttons/context-arrow}}\n</$button>\n"
        },
        "$:/plugins/bimlas/locator/buttons/open-field-settings": {
            "title": "$:/plugins/bimlas/locator/buttons/open-field-settings",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<$button\n  to=\"$:/plugins/bimlas/locator/settings/settings\"\n  tooltip=\"Open field settings\"\n  class=<<link-button-class>>\n>\n  {{$:/core/images/options-button}}<$list filter=\"[title<contextState>!regexp[^\\$:/state/bimlas/locator/search/]]\" variable=\"null\"> Open field settings</$list>\n</$button>"
        },
        "$:/plugins/bimlas/locator/buttons/remove-filters-of-current-field": {
            "title": "$:/plugins/bimlas/locator/buttons/remove-filters-of-current-field",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define actions()\n  <$action-setfield $tiddler=<<intersectionState>> $index=<<currentField>> $value=\"\"/>\n  <$action-setfield $tiddler=<<differenceState>> $index=<<currentField>> $value=\"\"/>\n  <$action-listops $tiddler=<<contextState>> $field=\"opened-fields-filters\" $subfilter=\"-[<currentField>]\"/>\n  <$list filter=\"[<recursiveFilteringOfCurrentFieldAvailable>regexp[yes]]\" variable=\"null\">\n    <$action-setfield $tiddler=\"$:/state/bimlas/locator/search/recursive-filters/\" $index=<<currentField>> $value=\"\"/>\n  </$list>\n\\end\n\n<$list filter=\"[title<intersectionState>] [title<differenceState>] +[locator-selected-field-values<currentField>first[]]\" variable=\"null\">\n  <$button tooltip=\"Remove field filters\" class=<<link-button-class>> actions=<<actions>>>\n    {{$:/core/images/cancel-button}}\n  </$button>\n</$list>"
        },
        "$:/plugins/bimlas/locator/buttons/remove-filters": {
            "title": "$:/plugins/bimlas/locator/buttons/remove-filters",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<$list filter=\"[title<intersectionState>] [title<differenceState>] +[locator-selected-field-values[]first[]]\" variable=\"null\">\n  <$button tooltip=\"Remove field filters\" class=<<link-button-class>> actions={{$:/plugins/bimlas/locator/actions/remove-filters}}>\n    {{$:/core/images/cancel-button}}\n  </$button>\n</$list>"
        },
        "$:/plugins/bimlas/locator/buttons/search-in-context": {
            "title": "$:/plugins/bimlas/locator/buttons/search-in-context",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define copy-field(sourceTiddler destinationTiddler field)\n  <$set name=\"value\" tiddler=<<__sourceTiddler__>> field=<<__field__>>>\n    <$action-setfield $tiddler=<<__destinationTiddler__>> $field=<<__field__>> $value=<<value>>/>\n  </$set>\n\\end\n\n\\define clear-data-tiddler(tiddler)\n  <$action-deletetiddler $tiddler=<<__tiddler__>>/>\n  <$action-setfield $tiddler=<<__tiddler__>> type=\"application/json\"/>\n\\end\n\n\\define search-in-current-context()\n  <$action-listops $tiddler=\"$:/state/bimlas/locator/search/intersection/\" $index={{{ [subfilter<filter-field-of-relationship>] }}} $subfilter=\"[subfilter<filter-history>last[]]\"/>\n  <$action-listops $tiddler=\"$:/state/bimlas/locator/search/recursive-filters/\" $index={{{ [subfilter<filter-field-of-relationship>] }}} $filter=\"[subfilter<filter-history>last[]]\"/>\n\\end\n\n\\define copy-filters()\n  <$macrocall $name=\"copy-field\" sourceTiddler=<<intersectionState>> destinationTiddler=\"$:/state/bimlas/locator/search/intersection/\" field=\"text\"/>\n  <$macrocall $name=\"copy-field\" sourceTiddler=<<differenceState>> destinationTiddler=\"$:/state/bimlas/locator/search/difference/\" field=\"text\"/>\n\\end\n\n\\define reset-search-context()\n  <$action-deletetiddler $tiddler=\"$:/state/bimlas/locator/search/context/\"/>\n  <$list filter=\"[<recursiveFilteringAvailable>regexp[yes]]\" variable=\"null\">\n    <$macrocall $name=\"clear-data-tiddler\" tiddler=\"$:/state/bimlas/locator/search/recursive-filters/\"/>\n  </$list>\n  <$macrocall $name=\"clear-data-tiddler\" tiddler=\"$:/state/bimlas/locator/search/intersection/\"/>\n  <$macrocall $name=\"clear-data-tiddler\" tiddler=\"$:/state/bimlas/locator/search/difference/\"/>\n\\end\n\n<$button tooltip=\"Restrict search to this context (in full depth)\" class=<<link-button-class>>>\n  <<reset-search-context>>\n  <<copy-filters>>\n  <<search-in-current-context>>\n  {{$:/core/images/advanced-search-button}}\n</$button>\n"
        },
        "$:/plugins/bimlas/locator/buttons/toggle-context-settings": {
            "title": "$:/plugins/bimlas/locator/buttons/toggle-context-settings",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define opened()\n  <$button tooltip=\"Toggle context settings\" class=<<link-button-class additionalClasses:\"active\">>>\n    <$action-setfield $tiddler=<<contextState>> $field=\"context-settings-opened\" $value=\"\"/>\n    {{$:/core/images/options-button}}\n  </$button>\n\\end\n\n\\define closed()\n  <$button tooltip=\"Toggle context settings\" class=<<link-button-class>>>\n    <$action-setfield $tiddler=<<contextState>> $field=\"context-settings-opened\" $value=\"yes\"/>\n    {{$:/core/images/options-button}}\n  </$button>\n\\end\n\n<$list filter=\"[title<contextState>field:context-settings-opened[yes]]\" emptyMessage=<<closed>>><<opened>></$list>"
        },
        "$:/plugins/bimlas/locator/edit-template/locator-references": {
            "title": "$:/plugins/bimlas/locator/edit-template/locator-references",
            "list-after": "$:/core/ui/EditTemplate/title",
            "tags": "$:/tags/EditTemplate",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define prompt()\n  The following references to this tiddler in //<<__field__>>// [[Locator field|$:/plugins/bimlas/locator/settings/settings]] will not be automatically updated:\n\\end\n\n\\define children-by-field(field)\n  <$list filter=\"[title{!!draft.of}locator-enlist-children:$field$[]first[]]\" variable=\"null\">\n    <$vars stateTiddler=<<qualify \"$:/state/bimlas/locator/edit/references/$field$\">> >\n\n      <$reveal type=\"nomatch\" state=<<stateTiddler>> text=\"show\">\n        <$button set=<<stateTiddler>> setTo=\"show\" class=\"tc-btn-invisible\">\n          {{$:/core/images/right-arrow}}\n          <<prompt>>\n        </$button>\n      </$reveal>\n      <$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n        <$button set=<<stateTiddler>> setTo=\"hide\" class=\"tc-btn-invisible\">\n          {{$:/core/images/down-arrow}}\n          <<prompt>>\n        </$button>\n      </$reveal>\n\n      <$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n        <$list filter=\"[title{!!draft.of}locator-enlist-children:$field$[]]\" template=\"$:/core/ui/ListItemTemplate\">\n          <$link/>\n        </$list>\n      </$reveal>\n\n    </$vars>\n  </$list>\n\\end\n\n<$reveal state=\"!!draft.title\" type=\"nomatch\" text={{!!draft.of}} tag=\"div\">\n  <$list filter=\"[locator-enlist-relationship-fields[]] -[[tags]] -[[list]] -[[LINKS-IN-TEXT]]\" variable=\"currentField\">\n    <$macrocall $name=\"children-by-field\" field=<<currentField>>/>\n  </$list>\n</$reveal>"
        },
        "$:/plugins/bimlas/locator/field-templates/color": {
            "title": "$:/plugins/bimlas/locator/field-templates/color",
            "caption": "Color",
            "tags": "$:/tags/bimlas/locator/field-templates",
            "type": "text/vnd.tiddlywiki",
            "text": "<input type=\"color\" name=\"favcolor\" value=<<currentTiddler>> disabled> <$view field=\"title\"/>"
        },
        "$:/plugins/bimlas/locator/field-templates/edit-fields-plus-transclusion": {
            "title": "$:/plugins/bimlas/locator/field-templates/edit-fields-plus-transclusion",
            "caption": "Edit fields + Transclusion",
            "tags": "$:/tags/bimlas/locator/context-item-templates",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define frame-classes() tc-tiddler-frame tc-tiddler-edit-frame $(missingTiddlerClass)$ $(shadowTiddlerClass)$ $(systemTiddlerClass)$\n\n{{||$:/plugins/bimlas/locator/field-templates/link}}\n<div class=<<frame-classes>> data-tiddler-title=<<currentTiddler>>>\n  <$fieldmangler>\n    {{||$:/core/ui/EditTemplate/tags}}\n    {{||$:/core/ui/EditTemplate/fields}}\n  </$fieldmangler>\n</div>\n<$transclude mode=\"block\"/>\n<hr style=\"border-top: double\"/>"
        },
        "$:/plugins/bimlas/locator/field-templates/edit-fields": {
            "title": "$:/plugins/bimlas/locator/field-templates/edit-fields",
            "caption": "Edit fields",
            "tags": "$:/tags/bimlas/locator/context-item-templates",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define frame-classes() tc-tiddler-frame tc-tiddler-edit-frame $(missingTiddlerClass)$ $(shadowTiddlerClass)$ $(systemTiddlerClass)$\n\n{{||$:/plugins/bimlas/locator/field-templates/link}}\n<div class=<<frame-classes>> data-tiddler-title=<<currentTiddler>>>\n  <$fieldmangler>\n    {{||$:/core/ui/EditTemplate/tags}}\n    {{||$:/core/ui/EditTemplate/fields}}\n  </$fieldmangler>\n</div>\n<hr style=\"border-top: double\"/>"
        },
        "$:/plugins/bimlas/locator/field-templates/fields-plus-transclusion": {
            "title": "$:/plugins/bimlas/locator/field-templates/fields-plus-transclusion",
            "caption": "Fields + Transclusion",
            "tags": "$:/tags/bimlas/locator/context-item-templates",
            "type": "text/vnd.tiddlywiki",
            "text": "{{||$:/plugins/bimlas/locator/field-templates/link}}\n{{||$:/plugins/bimlas/locator/viewtemplate/field-list}}\n<$transclude mode=\"block\"/>\n<hr style=\"border-top: double\"/>"
        },
        "$:/plugins/bimlas/locator/field-templates/fields": {
            "title": "$:/plugins/bimlas/locator/field-templates/fields",
            "caption": "Fields",
            "tags": "$:/tags/bimlas/locator/context-item-templates",
            "type": "text/vnd.tiddlywiki",
            "text": "{{||$:/plugins/bimlas/locator/field-templates/link}}\n{{||$:/plugins/bimlas/locator/viewtemplate/field-list}}\n<hr style=\"border-top: double\"/>"
        },
        "$:/plugins/bimlas/locator/field-templates/icon": {
            "title": "$:/plugins/bimlas/locator/field-templates/icon",
            "caption": "Icon",
            "tags": "$:/tags/bimlas/locator/field-templates",
            "type": "text/vnd.tiddlywiki",
            "text": "<button class=\"tc-btn-invisible\" disabled><$transclude><<currentTiddler>></$transclude></button> {{||$:/plugins/bimlas/locator/field-templates/link}}"
        },
        "$:/plugins/bimlas/locator/field-templates/link": {
            "title": "$:/plugins/bimlas/locator/field-templates/link",
            "caption": "Link",
            "tags": "$:/tags/bimlas/locator/field-templates $:/tags/bimlas/locator/context-item-templates",
            "type": "text/vnd.tiddlywiki",
            "text": "<$link to=<<currentTiddler>>>\n  <$transclude field=\"caption\"><$view field=\"title\"/></$transclude>\n</$link>"
        },
        "$:/plugins/bimlas/locator/field-templates/tag": {
            "title": "$:/plugins/bimlas/locator/field-templates/tag",
            "caption": "Tag",
            "tags": "$:/tags/bimlas/locator/field-templates",
            "type": "text/vnd.tiddlywiki",
            "text": "<<tag>>"
        },
        "$:/plugins/bimlas/locator/field-templates/text": {
            "title": "$:/plugins/bimlas/locator/field-templates/text",
            "caption": "Text",
            "tags": "$:/tags/bimlas/locator/field-templates",
            "type": "text/vnd.tiddlywiki",
            "text": "<$view field=\"title\"/>"
        },
        "$:/plugins/bimlas/locator/field-templates/transclusion": {
            "title": "$:/plugins/bimlas/locator/field-templates/transclusion",
            "caption": "Transclusion",
            "tags": "$:/tags/bimlas/locator/context-item-templates",
            "type": "text/vnd.tiddlywiki",
            "text": "{{||$:/plugins/bimlas/locator/field-templates/link}}\n<br/>\n<$transclude mode=\"block\"/>\n<hr style=\"border-top: double\"/>"
        },
        "$:/plugins/bimlas/locator/macros/locator-fields": {
            "title": "$:/plugins/bimlas/locator/macros/locator-fields",
            "tags": "$:/tags/Macro",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define locator-fields()\n  <!-- Hide internal macros, do not make them globally available -->\n  <$importvariables filter=\"[all[tiddlers+shadows]prefix[$:/plugins/bimlas/locator/macros/]]\">\n    <$vars\n      contextState=\"$:/state/bimlas/locator/search/context/\"\n      intersectionState=\"$:/state/bimlas/locator/search/intersection/\"\n      differenceState=\"$:/state/bimlas/locator/search/difference/\"\n      recursiveFilteringAvailable=\"yes\"\n    >\n\n      {{$:/plugins/bimlas/locator/templates/search-toolbar}} {{$:/plugins/bimlas/locator/buttons/remove-filters}}\n\n      <p><$checkbox tiddler=<<contextState>> field=\"limit-to-fields-of-filtered-tiddlers\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> Limit to fields of filtered tiddlers</$checkbox></p>\n\n      <$list filter=\"[subfilter<filter-selected-field-values>first[]]\" emptyMessage=\"\"\"<$list filter=\"0\" variable=\"resultCount\" template=\"$:/language/Search/Matches\"/>\"\"\">\n        <$list filter=\"[subfilter<filter-search-context>count[]]\" variable=\"resultCount\" template=\"$:/language/Search/Matches\"/>\n      </$list>\n\n      <!-- searchTiddler variable does not available in transcluded tiddlers by default -->\n      <$set name=\"filterContextItems\" filter=\"[<contextState>field:limit-to-fields-of-filtered-tiddlers[no]]\" value=\"[!is[system]]\" emptyValue=<<filter-search-context>>>\n        <$vars searchedFieldValue={{$(searchTiddler)$}}>\n          {{$:/plugins/bimlas/locator/templates/field-names}}\n        </$vars>\n      </$set>\n\n      <$list filter=\"[subfilter<filter-selected-field-values>first[]]\">\n        <$list filter=\"[subfilter<filter-search-context>limit[250]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n      </$list>\n\n    </$vars>\n  </$importvariables>\n\\end\n"
        },
        "$:/plugins/bimlas/locator/macros/locator-search": {
            "title": "$:/plugins/bimlas/locator/macros/locator-search",
            "tags": "$:/tags/Macro",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define locator-search()\n  <!-- Hide internal macros, do not make them globally available -->\n  <$importvariables filter=\"[all[tiddlers+shadows]prefix[$:/plugins/bimlas/locator/macros/]]\">\n    <$vars\n      contextState=\"$:/state/bimlas/locator/search/context/\"\n      intersectionState=\"$:/state/bimlas/locator/search/intersection/\"\n      differenceState=\"$:/state/bimlas/locator/search/difference/\"\n      filterContextItems=\"[subfilter<filter-search-context>search{$(searchTiddler)$}]\"\n      recursiveFilteringAvailable=\"yes\"\n    >\n\n      {{$:/plugins/bimlas/locator/templates/search-toolbar}}\n\n      <$list filter=\"[subfilter<filterContextItems>count[]]\" variable=\"resultCount\" template=\"$:/language/Search/Matches\"/>\n\n      {{$:/plugins/bimlas/locator/templates/fields-filter}}\n\n      //<small>{{$:/language/Search/Matches/Title}}</small>//\n\n      <$list filter=\"[subfilter<filterContextItems>search:title{$(searchTiddler)$}limit[250]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n      //<small>{{$:/language/Search/Matches/All}}</small>//\n\n      <$list filter=\"[subfilter<filterContextItems>limit[250]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n    </$vars>\n  </$importvariables>\n\\end\n"
        },
        "$:/plugins/bimlas/locator/macros/locator-view": {
            "title": "$:/plugins/bimlas/locator/macros/locator-view",
            "tags": "$:/tags/Macro",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define locator-view(baseTitle fieldOfRelationship:\"tags\" templateOfContextItems:\"$:/plugins/bimlas/locator/field-templates/link\")\n  <!-- Hide internal macros, do not make them globally available -->\n  <$importvariables filter=\"[all[tiddlers+shadows]prefix[$:/plugins/bimlas/locator/macros/]]\">\n    <$vars\n      contextState=\"$:/state/bimlas/locator/view/context/$(currentTiddler)$\"\n      intersectionState=\"$:/state/bimlas/locator/view/intersection/$(currentTiddler)$\"\n      differenceState=\"$:/state/bimlas/locator/view/difference/$(currentTiddler)$\"\n      defaultFieldOfRelationship=<<__fieldOfRelationship__>>\n    >\n      <!-- I have to create them nested because internal variables use external ones -->\n      <$vars currentField={{{ [subfilter<filter-field-of-relationship>] }}}>\n        <$vars filterContextItems=<<filter-view-context>>>\n          <div class=\"tc-table-of-contents\">\n\n            {{$:/plugins/bimlas/locator/templates/history}}\n\n            ---\n\n            {{$:/plugins/bimlas/locator/templates/context-settings}}\n            <div class=\"bimlas-locator right\">\n              {{||$:/plugins/bimlas/locator/templates/view-toolbar}}\n            </div>\n            {{$:/plugins/bimlas/locator/templates/fields-filter}}\n            <ol class=\"bimlas-locator\">\n              <$list filter=\"[subfilter<filter-field-of-relationship>regexp[^LINKS-IN-TEXT$]]\" emptyMessage={{$:/plugins/bimlas/locator/templates/list-of-context-items}}>\n                {{||$:/plugins/bimlas/locator/templates/list-of-links-in-text}}\n              </$list>\n            </ol>\n\n          </div>\n        </$vars>\n      </$vars>\n    </$vars>\n  </$importvariables>\n\\end\n"
        },
        "$:/plugins/bimlas/locator/macros/css-classes": {
            "title": "$:/plugins/bimlas/locator/macros/css-classes",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define link-button-class(additionalClasses) tc-btn-invisible tc-tiddlylink bimlas-locator $additionalClasses$\n\\define menu-list-item-class() tc-menu-list-item bimlas-locator"
        },
        "$:/plugins/bimlas/locator/macros/filters": {
            "title": "$:/plugins/bimlas/locator/macros/filters",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define filter-history() [<__baseTitle__>] [title<contextState>each:list-item[history]] -[[]]\n\\define filter-selected-field-values() [title<intersectionState>] [title<differenceState>] +[locator-selected-field-values<currentField>]\n\\define filter-field-is-list() [addprefix[$:/config/bimlas/locator/fields/]field:field-type[list]]\n\\define filter-unfiltered-view-context-items() [subfilter<filter-history>last[]locator-enlist-children:$(currentField)$<contextState>!has[draft.of]]\n\\define filter-view-context() [subfilter<filter-history>last[]locator-enlist-children:$(currentField)$<contextState>!has[draft.of]locator-fields-filter<intersectionState>!locator-fields-filter<differenceState>]\n\\define filter-search-context() [!is[system]locator-fields-filter:recursive[$(intersectionState)$]!locator-fields-filter:recursive[$(differenceState)$]]\n\\define filter-field-of-relationship() [title<contextState>get[field-of-relationship]] [<defaultFieldOfRelationship>] +[first[]]\n\n<!--\n I know that `filter-view-context` uses a code duplication of\n `filter-unfiltered-view-context-items`, but I have to do this way, becuse\n  $(variable)$ works only with variables defined in direct parent macro, thus\n  I cannot add another level to call chain\n-->"
        },
        "$:/plugins/bimlas/locator/macros/javascript-filters.js": {
            "title": "$:/plugins/bimlas/locator/macros/javascript-filters.js",
            "text": "/*\\\ntitle: $:/plugins/bimlas/locator/macros/javascript-filters.js\ntype: application/javascript\nmodule-type: filteroperator\n\nSpecial filters used by Locator\n\n\\*/\n(function() {\n\n\t/*jslint node: true, browser: true */\n\t/*global $tw: true */\n\t\"use strict\";\n\n\tfunction getFieldDefinition(options,field) {\n\t\tvar fieldOptionsTiddler = \"$:/config/bimlas/locator/fields/\" + field;\n\n\t\treturn options.wiki.getCacheForTiddler(fieldOptionsTiddler,\"fieldListingOperator\",function() {\n\t\t\tvar fieldOptions = options.wiki.getTiddler(fieldOptionsTiddler) || {fields: {}};\n\t\t\tvar filterOperators = options.wiki.getFilterOperators();\n\t\t\tvar fieldDefinitions = {\n\t\t\t\t\"value\": {\n\t\t\t\t\tfieldType: \"value\",\n\t\t\t\t\tdirection: fieldOptions.fields[\"field-direction\"],\n\t\t\t\t\tenlistChildren: {\n\t\t\t\t\t\t\"to\": function(title,input,prefix) {\n\t\t\t\t\t\t\treturn filterOperators[\"field\"](input,{operand: title,prefix: prefix,suffix: field},options);\n\t\t\t\t\t\t},\n\t\t\t\t\t\t\"from\": function(title,unusedInput,unusedPrefix) {\n\t\t\t\t\t\t\treturn (options.wiki.getTiddler(title) || {fields: {}}).fields[field] || []\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t},\n\t\t\t\t\"list\": {\n\t\t\t\t\tfieldType: \"list\",\n\t\t\t\t\tdirection: fieldOptions.fields[\"field-direction\"],\n\t\t\t\t\tenlistChildren: {\n\t\t\t\t\t\t\"to\": function(title,input,prefix) {\n\t\t\t\t\t\t\treturn filterOperators[\"contains\"](input,{operand: title,prefix: prefix,suffix: field},options);\n\t\t\t\t\t\t},\n\t\t\t\t\t\t\"from\": function(title,unusedInput,unusedPrefix) {\n\t\t\t\t\t\t\treturn options.wiki.getTiddlerList(title,field) || [];\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t};\n\t\t\tvar linksInTextDefinition = {\n\t\t\t\tfieldType: \"value\",\n\t\t\t\tdirection: fieldOptions.fields[\"field-direction\"],\n\t\t\t\tenlistChildren: {\n\t\t\t\t\t\"to\": function(title,unusedInput,unusedPrefix) {\n\t\t\t\t\t\treturn options.wiki.getTiddlerBacklinks(title);\n\t\t\t\t\t},\n\t\t\t\t\t\"from\": function(title,unusedInput,unusedPrefix) {\n\t\t\t\t\t\treturn options.wiki.getTiddlerLinks(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t};\n\n\t\t\treturn field === \"LINKS-IN-TEXT\"\n\t\t\t\t? linksInTextDefinition\n\t\t\t\t: fieldDefinitions[fieldOptions.fields[\"field-type\"] || \"value\"];\n\t\t});\n\t}\n\n\tfunction getActiveFilters(options,filterState) {\n\t\treturn options.wiki.getCacheForTiddler(filterState,\"activeFilters\",function() {\n\t\t\tvar filteredFields = options.wiki.getTiddlerDataCached(filterState,{});\n\t\t\tvar results = {};\n\n\t\t\t$tw.utils.each(filteredFields,function(valuesAsString,field) {\n\t\t\t\tvar values = $tw.utils.parseStringArray(valuesAsString) || [];\n\t\t\t\tif(values.length) {\n\t\t\t\t\tresults[field] = values;\n\t\t\t\t}\n\t\t\t});\n\n\t\t\treturn results;\n\t\t});\n\t}\n\n\tfunction applyFieldsFilters(source,options,filterState,filterFunc,prefix) {\n\t\tvar activeFilters = getActiveFilters(options,filterState);\n\t\tvar results = source;\n\n\t\tif(!Object.keys(activeFilters).length) return results;\n\n\t\t$tw.utils.each(activeFilters,function(values,field) {\n\t\t\t$tw.utils.each(values,function(value) {\n\t\t\t\tif(value === \"ANY-VALUE\") {\n\t\t\t\t\tvar filterOperators = options.wiki.getFilterOperators();\n\t\t\t\t\tresults = filterOperators[\"has\"](results,{operand: field,prefix: prefix},options);\n\t\t\t\t} else {\n\t\t\t\t\tresults = filterFunc(results,field,value,prefix);\n\t\t\t\t}\n\t\t\t\tresults = options.wiki.makeTiddlerIterator(results);\n\t\t\t});\n\t\t});\n\n\t\treturn results;\n\t}\n\n\tfunction getDirectionOfTraverse(options,contextState,fieldOfRelationship) {\n\t\tvar direction = getFieldDefinition(options,fieldOfRelationship).direction;\n\n\t\tif(isDirectionInverted(options,contextState)) {\n\t\t\tdirection = invertDirection(direction);\n\t\t}\n\n\t\treturn direction;\n\t}\n\n\tfunction isDirectionInverted(options,contextState) {\n\t\tvar contextStateTiddler = options.wiki.getTiddler(contextState) || {fields: []};\n\t\treturn contextStateTiddler.fields[\"invert-direction\"] === \"yes\"\n\t}\n\n\tfunction invertDirection(direction) {\n\t\treturn [\"from\",\"to\"][(direction === \"from\") + 0];\n\t}\n\n\tfunction enlistChildren(options,parentTitle,fieldOfRelationship,directionOfTraverse) {\n\t\treturn options.wiki.getGlobalCache(\"bimlas-locator-enlist-children-\" + parentTitle + \"-\" + fieldOfRelationship + \"-\" + directionOfTraverse, function() {\n\t\t\tvar fieldDefinition = getFieldDefinition(options, fieldOfRelationship);\n\t\t\tvar allTiddlers = options.wiki.makeTiddlerIterator(options.wiki.getTiddlers());\n\t\t\treturn fieldDefinition.enlistChildren[directionOfTraverse](parentTitle,allTiddlers);\n\t\t});\n\t}\n\n\t/*\n\tFilter titles matching to Locator fields filter\n\n\tInput: list of tiddlers\n\tParam: filterState\n\tPrefix: \"!\" to exclude matching tiddlers\n\tSuffix: \"recusive\" enables recursive filtering\n\t*/\n\texports[\"locator-fields-filter\"] = function(source,operator,options) {\n\t\tvar results = source;\n\t\tvar activeRecursiveFilters = getActiveFilters(options,\"$:/state/bimlas/locator/search/recursive-filters/\");\n\n\t\tif(operator.suffix === \"recursive\") {\n\t\t\tresults = applyFieldsFilters(results,options,operator.operand,recursiveFilterFunc,operator.prefix);\n\t\t} else {\n\t\t\tresults = applyFieldsFilters(results,options,operator.operand,directFilterFunc,operator.prefix);\n\t\t}\n\n\t\treturn results;\n\n\t\tfunction directFilterFunc(input,field,value,prefix) {\n\t\t\tvar fieldDefinition = getFieldDefinition(options,field);\n\t\t\treturn fieldDefinition.enlistChildren[\"to\"](value,input,prefix);\n\t\t}\n\n\t\tfunction recursiveFilterFunc(input,field,fieldValue,prefix) {\n\t\t\tvar isRecursiveFilteringActive = $tw.utils.hop(activeRecursiveFilters,field) && (activeRecursiveFilters[field].indexOf(fieldValue) >= 0);\n\t\t\tif(!isRecursiveFilteringActive) {\n\t\t\t\treturn directFilterFunc(input,field,fieldValue,prefix);\n\t\t\t}\n\n\t\t\tvar fieldDirection = getFieldDefinition(options,field).direction;\n\t\t\tvar children = [];\n\t\t\tcollectChildrenRecursively(fieldValue);\n\t\t\tvar compareFunc = (prefix !== \"!\")\n\t\t\t\t? function(index) { return index >= 0 }\n\t\t\t\t: function(index) { return index < 0 };\n\t\t\tvar results = [];\n\n\t\t\tinput(function(tiddler,title) {\n\t\t\t\tif(compareFunc(children.indexOf(title))) {\n\t\t\t\t\tresults = $tw.utils.pushTop(results, title);\n\t\t\t\t}\n\t\t\t});\n\n\t\t\treturn results;\n\n\t\t\tfunction collectChildrenRecursively(parent) {\n\t\t\t\t$tw.utils.each(enlistChildren(options,parent,field,fieldDirection),function(child) {\n\t\t\t\t\tif(children.indexOf(child) < 0) {\n\t\t\t\t\t\t$tw.utils.pushTop(children, child);\n\t\t\t\t\t\t$tw.utils.pushTop(children, collectChildrenRecursively(child));\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\t};\n\n\t/*\n\tFilter fields that are not disabled in Locator field options\n\n\tInput: list of fields\n\tParam (optional): if called from toggleable fields filter (`locator-view` and `locator-search`), set to \"nested\"\n\t*/\n\texports[\"locator-enabled-fields\"] = function(source,operator,options) {\n\t\tvar typeOfFieldsFilter = operator.operand || \"regular\";\n\t\tvar excludedFields = options.wiki.filterTiddlers(\"[all[tiddlers+shadows]field:hide-in-\" + typeOfFieldsFilter + \"-fields-filter[yes]removeprefix[$:/config/bimlas/locator/fields/]]\") || [];\n\t\tvar results = [];\n\n\t\tsource(function(tiddler,title) {\n\t\t\tif(excludedFields.indexOf(title) < 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\n\t\treturn results;\n\t};\n\n\t/*\n\tList fields which can be used to build tree (\"tags\" for example)\n\n\tInput: none\n\tParam (optional): field to check if it's a relationship field\n\t*/\n\texports[\"locator-enlist-relationship-fields\"] = function(source,operator,options) {\n\t\tvar relationshipFields = options.wiki.getGlobalCache(\"bimlas-locator-enlist-relationship-fields\",function() {\n\t\t\treturn options.wiki.filterTiddlers(\"[all[tiddlers+shadows]prefix[$:/config/bimlas/locator/fields/]has[field-direction]removeprefix[$:/config/bimlas/locator/fields/]]\");\n\t\t});\n\n\t\tif(operator.operand) {\n\t\t\treturn relationshipFields.indexOf(operator.operand) >= 0\n\t\t\t\t? [operator.operand]\n\t\t\t\t: [];\n\t\t}\n\n\t\treturn relationshipFields;\n\t};\n\n\t/*\n\tList field values according to Locator field settings\n\n\tInput: list of tiddlers\n\tParam: field\n\t*/\n\texports[\"locator-enlist-field-values\"] = function(source,operator,options) {\n\t\tvar fieldDefinition = getFieldDefinition(options,operator.operand);\n\t\tvar results = [];\n\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!tiddler) return;\n\n\t\t\tvar value = fieldDefinition.enlistChildren[\"from\"](title);\n\n\t\t\tif(!value) return;\n\n\t\t\tresults = $tw.utils.pushTop(results,value);\n\t\t});\n\n\t\treturn results;\n\t};\n\n\t/*\n\tList of active field filters\n\n\tInput: filterState\n\tParam (optional): field\n\t*/\n\texports[\"locator-selected-field-values\"] = function(source,operator,options) {\n\t\tvar activeFilters = {};\n\n\t\tsource(function(tiddler,title) {\n\t\t\t$tw.utils.each(getActiveFilters(options,title),function(value,key) {\n\t\t\t\tactiveFilters[key] = $tw.utils.pushTop(activeFilters[key] || [],value);\n\t\t\t});\n\t\t});\n\n\t\tif(!Object.keys(activeFilters).length) return [];\n\n\t\treturn operator.operand\n\t\t\t? activeFilters[operator.operand] || []\n\t\t\t: [\"TODO: Join active filter values (array of arrays)\"];\n\t};\n\n\t/*\n\tList of active field names\n\n\tInput: filterState\n\tParam (optional): none\n\t*/\n\texports[\"locator-selected-field-names\"] = function(source,operator,options) {\n\t\tvar fieldNames = [];\n\n\t\tsource(function(tiddler,title) {\n\t\t\tfieldNames = $tw.utils.pushTop(fieldNames,Object.keys(getActiveFilters(options,title)));\n\t\t});\n\n\t\treturn fieldNames;\n\t};\n\n\t/*\n\tList children of input elements based on selected relationship field\n\n\tInput: parent tiddlers\n\tParam (optional): contextState\n\tSuffix: field of relationship\n\t*/\n\texports[\"locator-enlist-children\"] = function(source,operator,options) {\n\t\tvar fieldOfRelationship = operator.suffix;\n\t\tvar directionOfTraverse = getDirectionOfTraverse(options,operator.operand,fieldOfRelationship);\n\t\tvar results = [];\n\n\t\tsource(function(tiddler,title) {\n\t\t\tresults = $tw.utils.pushTop(results, enlistChildren(options,title,fieldOfRelationship,directionOfTraverse));\n\t\t\tresults = options.wiki.sortByList(results,title);\n\t\t});\n\n\t\treturn results;\n\t};\n\n\t/*\n\tGet direction of traverse: field direction + optional invert direction\n\n\tInput: contextState\n\tParam: field of relationship\n\t*/\n\texports[\"locator-direction-of-traverse\"] = function(source,operator,options) {\n\t\tvar results = [];\n\n\t\tsource(function(tiddler,title) {\n\t\t\tresults = [getDirectionOfTraverse(options,title,operator.operand)];\n\t\t});\n\n\t\treturn results;\n\t};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/plugins/bimlas/locator/macros/template-macros": {
            "title": "$:/plugins/bimlas/locator/macros/template-macros",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define droppable-menu-list-item(content actions)\n  <$droppable actions=<<__actions__>>>\n    <div class=\"tc-droppable-placeholder\" style=\"display: block\">\n      <<__content__>>\n    </div>\n  </$droppable>\n\\end"
        },
        "$:/config/bimlas/locator/fields/LINKS-IN-TEXT": {
            "title": "$:/config/bimlas/locator/fields/LINKS-IN-TEXT",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "field-direction": "from",
            "text": "$:/plugins/bimlas/locator/field-templates/link"
        },
        "$:/config/bimlas/locator/fields/bag": {
            "title": "$:/config/bimlas/locator/fields/bag",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "hide-in-nested-fields-filter": "yes",
            "hide-in-regular-fields-filter": "yes"
        },
        "$:/config/bimlas/locator/fields/caption": {
            "title": "$:/config/bimlas/locator/fields/caption",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "hide-in-nested-fields-filter": "yes"
        },
        "$:/config/bimlas/locator/fields/color": {
            "title": "$:/config/bimlas/locator/fields/color",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "$:/plugins/bimlas/locator/field-templates/color"
        },
        "$:/config/bimlas/locator/fields/created": {
            "title": "$:/config/bimlas/locator/fields/created",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "hide-in-nested-fields-filter": "yes",
            "hide-in-regular-fields-filter": "yes"
        },
        "$:/config/bimlas/locator/fields/draft.of": {
            "title": "$:/config/bimlas/locator/fields/draft.of",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "hide-in-nested-fields-filter": "yes",
            "hide-in-regular-fields-filter": "yes"
        },
        "$:/config/bimlas/locator/fields/draft.title": {
            "title": "$:/config/bimlas/locator/fields/draft.title",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "hide-in-nested-fields-filter": "yes",
            "hide-in-regular-fields-filter": "yes"
        },
        "$:/config/bimlas/locator/fields/icon": {
            "title": "$:/config/bimlas/locator/fields/icon",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "$:/plugins/bimlas/locator/field-templates/icon"
        },
        "$:/config/bimlas/locator/fields/list-after": {
            "title": "$:/config/bimlas/locator/fields/list-after",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "hide-in-nested-fields-filter": "yes",
            "hide-in-regular-fields-filter": "yes",
            "text": "$:/plugins/bimlas/locator/field-templates/link"
        },
        "$:/config/bimlas/locator/fields/list-before": {
            "title": "$:/config/bimlas/locator/fields/list-before",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "hide-in-nested-fields-filter": "yes",
            "hide-in-regular-fields-filter": "yes",
            "text": "$:/plugins/bimlas/locator/field-templates/link"
        },
        "$:/config/bimlas/locator/fields/list": {
            "title": "$:/config/bimlas/locator/fields/list",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "field-type": "list",
            "hide-in-nested-fields-filter": "yes",
            "hide-in-regular-fields-filter": "yes",
            "text": "$:/plugins/bimlas/locator/field-templates/link"
        },
        "$:/config/bimlas/locator/fields/modified": {
            "title": "$:/config/bimlas/locator/fields/modified",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "hide-in-nested-fields-filter": "yes",
            "hide-in-regular-fields-filter": "yes"
        },
        "$:/config/bimlas/locator/fields/revision": {
            "title": "$:/config/bimlas/locator/fields/revision",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "hide-in-nested-fields-filter": "yes",
            "hide-in-regular-fields-filter": "yes"
        },
        "$:/config/bimlas/locator/fields/tags": {
            "title": "$:/config/bimlas/locator/fields/tags",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "field-type": "list",
            "field-direction": "to",
            "text": "$:/plugins/bimlas/locator/field-templates/tag"
        },
        "$:/config/bimlas/locator/fields/text": {
            "title": "$:/config/bimlas/locator/fields/text",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "hide-in-nested-fields-filter": "yes",
            "hide-in-regular-fields-filter": "yes"
        },
        "$:/config/bimlas/locator/fields/title": {
            "title": "$:/config/bimlas/locator/fields/title",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "hide-in-nested-fields-filter": "yes",
            "hide-in-regular-fields-filter": "yes",
            "text": "$:/plugins/bimlas/locator/field-templates/link"
        },
        "$:/config/bimlas/locator/fields/type": {
            "title": "$:/config/bimlas/locator/fields/type",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "hide-in-nested-fields-filter": "yes"
        },
        "$:/plugins/bimlas/locator/settings/settings": {
            "title": "$:/plugins/bimlas/locator/settings/settings",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define show-in-fields()\n  <$select field=\"hide-in-nested-fields-filter\" default=\"\">\n    <option value=\"\">Show</option>\n    <option value=\"yes\">Hide</option>\n  </$select> in nested filter (`locator-view`, `locator-search`)<br/>\n  <$select field=\"hide-in-regular-fields-filter\" default=\"\">\n    <option value=\"\">Show</option>\n    <option value=\"yes\">Hide</option>\n  </$select> in regular filter (`locator-fields` and tiddler info)\n\\end\n\n\\define field-type()\n  <$select field=\"field-type\" default=\"\">\n    <option value=\"\">Value</option>\n    <option value=\"list\">List</option>\n  </$select>\n\\end\n\n\\define field-direction()\n  <$select field=\"field-direction\" default=\"\">\n    <option value=\"\">No</option>\n    <option value=\"to\">Yes</option>\n    <!--\n    I blocked it because a tree with children on top is difficult to handle:\n\n    For example, there is a tiddler named \"Father\" which has \"Kid\" in the \"children\" field\n\n    If you want to filter tiddlers by field values (for example, in the fields filter),\n    \"Father\" will be listed among those tiddlers that have \"Kid\" in the \"children\" field.\n    In fact, we wanted to children of \"Kid\".\n\n    Filtering \"Kid\" in the \"Fields\" search tab will list the tiddlers that have \"Kid\" in\n    their \"children\" field (for example, \"Father\"). If you turn on recursive filtering,\n    it will list all tiddlers starting with \"Kid\" (so \"Father\" will not be listed).\n\n    The \"Create tiddler in context\" button also has to be aware of the direction of the\n    field, which also complicates the code.\n\n    If you do make this option available, remember to tell the user that when renaming a\n    tiddler, he must rewrite the field values that refer to the current tiddler. If you\n    want to rewrite it automatically, make sure it works properly with the Relink plugin\n    (does not adding the new name more than once to the field).\n    -->\n    <!-- <option value=\"from\">From</option> -->\n  </$select>\n\\end\n\n\\define template()\n  <$select field=\"text\" default=\"$:/plugins/bimlas/locator/field-templates/text\">\n    <$list filter=\"[all[tiddlers+shadows]tag[$:/tags/bimlas/locator/field-templates]]\">\n      <option value=<<currentTiddler>>><$transclude field=\"caption\"><$view field=\"title\"/></$transclude></option>\n    </$list>\n  </$select>\n  <$transclude/>\n\\end\n\n\\define settings(field)\n  <$importvariables filter=\"[all[tiddlers+shadows]prefix[$:/plugins/bimlas/locator/macros/]]\">\n\n  <h3><$link to=\"$:/config/bimlas/locator/fields/$field$\"><$text text=<<__field__>>/></$link></h3>\n\n    <div class=\"tc-control-panel\">\n      <table>\n        <tbody>\n          <tr>\n            <td>Description</td>\n            <td>//{{$:/language/Docs/Fields/$field$}}//</td>\n          </tr>\n          <tr>\n            <td>Show in fields filter</td>\n            <td>\n              <<show-in-fields>>\n            </td>\n          </tr>\n          <tr>\n            <td>Field type</td>\n            <td>\n              <<field-type>>\n              <p>//Does the field contain a single value (for example `Franz Kafka`) or a list of values (`[[Franz Kafka]] [[Dostojevskij]]`)?//</p>\n            </td>\n          </tr>\n          <tr>\n            <td>Does the field represent a tree?</td>\n            <td>\n              <<field-direction>>\n              <p>//If the field contains the title(s) of other tiddler(s) (like \"tags\"), set it to \"Yes\".//</p>\n            </td>\n          </tr>\n          <tr>\n            <td>Template</td>\n            <td>\n              <<template>>\n              <p>//The template to display in the field filter.//</p>\n              <p>//You can create your own field template tiddlers by adding the// <<tag \"$:/tags/bimlas/locator/field-templates\">> //tag to them (click on this tag pill for examples).//</p>\n            </td>\n          </tr>\n        </tbody>\n      </table>\n    </div>\n\n  </$importvariables>\n\\end\n\n\\define option()\n  <option value=<<currentTiddler>>>\n    <$view field=\"title\"/>\n    <$list filter=\"[subfilter<settingsTiddler>is[tiddler]] [subfilter<settingsTiddler>is[shadow]] +[first[]]\">~</$list>\n    <$list filter=\"[subfilter<settingsTiddler>is[tiddler]]\">*</$list>\n  </option>\n\\end\n\n\\define settingsTiddler() [title<currentTiddler>addprefix[$:/config/bimlas/locator/fields/]]\n\nSelect field to edit its settings:\n<$select tiddler=\"$:/temp/bimlas/locator/settings-of-field\">\n  <optgroup label=\"Fields of regular tiddlers\">\n    <$list filter=\"[!is[system]fields[]sort[]]\">\n      <<option>>\n    </$list>\n  </optgroup>\n  <optgroup label=\"Fields of system tiddlers\">\n    <$list filter=\"[all[tiddlers+shadows]is[system]fields[]] -[!is[system]fields[]] +[sort[]]\">\n      <<option>>\n    </$list>\n  </optgroup>\n</$select>\n\n* //`~`: Has custom settings//\n* //`*`: Settings modified by user//\n\nTo set up a new field, first add it to at least one tiddler.\n\n<p>//You can create your own context item template tiddlers by adding the// <<tag \"$:/tags/bimlas/locator/context-item-templates\">> //tag to them (click on this tag pill for examples).//</p>\n\n<$list filter=\"[title{$:/temp/bimlas/locator/settings-of-field}] -[[]]\">\n  <$list filter=<<settingsTiddler>>>\n    <$macrocall $name=\"settings\" field={{$:/temp/bimlas/locator/settings-of-field}}/>\n  </$list>\n</$list>"
        },
        "$:/plugins/bimlas/locator/stylesheet": {
            "title": "$:/plugins/bimlas/locator/stylesheet",
            "tags": "$:/tags/Stylesheet",
            "type": "text/vnd.tiddlywiki",
            "text": ".tc-tiddler-frame.bimlas-locator-explanation {\n  max-width: 400px;\n}\n.bimlas-locator-explanation svg {\n  width: 1rem;\n  height: 1rem;\n}\n.tc-drop-down button.bimlas-locator {\n  width: auto;\n  padding: 0;\n  display: inline-block;\n  background-color: inherit;\n}\nol.bimlas-locator {\n  list-style-type: none;\n  margin: 0;\n  padding-left: 0;\n}\nol.bimlas-locator ol {\n  margin-left: 0.75em;\n  padding-left: 0.3em;\n  border-left: 1px dashed;\n}\nli.toc-item.bimlas-locator, .tc-menu-list-item.bimlas-locator {\n  margin-top: 3px;\n  margin-bottom: 0;\n}\n.tc-menu-list-item.bimlas-locator > .tc-droppable {\n  display: inline-block;\n}\n.tc-block-dropdown.tc-search-drop-down .bimlas-locator a {\n  padding: 0;\n}\n.tc-block-dropdown.tc-search-drop-down .bimlas-locator a:hover {\n  background-color: initial;\n}\nbutton.bimlas-locator svg {\n  margin: 0 0.25em;\n}\nbutton.bimlas-locator.active svg {\n  fill: <<colour dirty-indicator>>;\n}\n.bimlas-locator.right {\n  float: right;\n  margin-right: 1em;\n}\n.bimlas-locator.context-settings {\n  border-width: 1px;\n  border-style: dashed;\n  padding: 0.5em;\n}"
        },
        "$:/plugins/bimlas/locator/templates/context-item": {
            "title": "$:/plugins/bimlas/locator/templates/context-item",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<li class=\"toc-item\">\n  {{||$:/plugins/bimlas/locator/buttons/go-down-to-context}}\n  <$list filter=\"[title<contextState>get[template-of-context-items]] [title<__templateOfContextItems__>] -[[]] +[first[]]\" variable=\"template\">\n    <$transclude tiddler=<<template>>/>\n  </$list>\n</li>"
        },
        "$:/plugins/bimlas/locator/templates/context-settings": {
            "title": "$:/plugins/bimlas/locator/templates/context-settings",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define field-of-relationship()\n  Tree is based on field:<br/>\n  <$select tiddler=<<contextState>> field=\"field-of-relationship\" default=<<defaultFieldOfRelationship>>>\n    <$list filter=\"[locator-enlist-relationship-fields[]]\" variable=\"currentField\">\n      <option value=<<currentField>>>\n        <$list filter=\"[subfilter<filter-unfiltered-view-context-items>count[]]\" variable=\"count\">\n          (<<count>>) <<currentField>>\n        </$list>\n      </option>\n    </$list>\n  </$select>\n\\end\n\n\\define template-of-context-items()\n  Template of context items:<br/>\n  <$select tiddler=<<contextState>> field=\"template-of-context-items\" default=<<__templateOfContextItems__>>>\n    <$list filter=\"[all[tiddlers+shadows]tag[$:/tags/bimlas/locator/context-item-templates]]\">\n      <option value=<<currentTiddler>>>\n        <$transclude field=\"caption\"><$view field=\"title\"/></$transclude>\n      </option>\n    </$list>\n  </$select>\n\\end\n\n<$list filter=\"[title<contextState>field:context-settings-opened[yes]]\">\n  <div class=\"bimlas-locator context-settings\">\n    <<field-of-relationship>><br/>\n    <<template-of-context-items>><br/>\n    <$checkbox\n      tiddler=<<contextState>>\n      field=\"invert-direction\"\n      checked=\"yes\"\n      unchecked=\"no\"\n      default=\"no\"\n    >\n      Invert direction\n    </$checkbox><br/>\n    <$checkbox\n      tiddler=<<contextState>>\n      field=\"allow-to-open-leaves\"\n      checked=\"yes\"\n      unchecked=\"no\"\n      default=\"no\"\n    >\n      Allow to open leaves\n    </$checkbox><br/>\n    {{$:/plugins/bimlas/locator/buttons/open-field-settings}}\n  </div>\n</$list>\n"
        },
        "$:/plugins/bimlas/locator/templates/field-names": {
            "title": "$:/plugins/bimlas/locator/templates/field-names",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define close-actions()\n  <$action-listops $tiddler=<<contextState>> $field=\"opened-fields-filters\" $subfilter=\"-[<currentField>]\"/>\n\\end\n\n\\define open-actions()\n  <$action-listops $tiddler=<<contextState>> $field=\"opened-fields-filters\" $subfilter=\"[<currentField>]\"/>\n\\end\n\n\\define closed()\n  <$button class=<<fieldButtonClass>> actions=<<open-actions>>>\n    {{$:/core/images/down-arrow}} <<currentField>>\n  </$button>\n  {{$:/plugins/bimlas/locator/buttons/remove-filters-of-current-field}}\n\\end\n\n\\define opened()\n  <$button class=<<fieldButtonClass>> actions=<<close-actions>>>\n    {{$:/core/images/up-arrow}} <<currentField>>\n  </$button>\n  {{$:/plugins/bimlas/locator/buttons/remove-filters-of-current-field}}\n  {{$:/plugins/bimlas/locator/templates/field-values}}\n\\end\n\n\\define field-names() [title<intersectionState>] [title<differenceState>] +[locator-selected-field-names[]] [subfilter<filterContextItems>fields[]locator-enabled-fields<typeOfFieldsFilter>] +[sort[]]\n\\define has-field-value-to-list() [subfilter<filterContextItems>has<currentField>search:$(currentField)$<searchedFieldValue>] [subfilter<filter-selected-field-values>] +[first[]]\n\n<ol class=\"bimlas-locator\">\n  <$list filter=<<field-names>> variable=\"currentField\">\n    <$list filter=<<has-field-value-to-list>> variable=\"null\">\n      <$set name=\"recursiveFilteringOfCurrentFieldAvailable\" filter=\"[<recursiveFilteringAvailable>regexp[yes]] [locator-enlist-relationship-fields<currentField>] +[count[]regexp[2]]\" value=\"yes\" emptyValue=\"no\">\n        <$set name=\"fieldButtonClass\" filter=\"[subfilter<filter-selected-field-values>first[]]\" value=<<link-button-class additionalClasses:\"active\">> emptyValue=<<link-button-class>>>\n          <li class=<<menu-list-item-class>>>\n            <$list filter=\"[title<contextState>contains:opened-fields-filters<currentField>]\" emptyMessage=<<closed>>><<opened>></$list>\n          </li>\n        </$set>\n      </$set>\n    </$list>\n  </$list>\n</ol>"
        },
        "$:/plugins/bimlas/locator/templates/field-value-template": {
            "title": "$:/plugins/bimlas/locator/templates/field-value-template",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<$list filter=\"[[$:/config/bimlas/locator/fields/]addsuffix<currentField>get[text]]\" emptyMessage={{$:/plugins/bimlas/locator/field-templates/text}} variable=\"template\">\n  <$transclude tiddler=<<template>>/>\n</$list>"
        },
        "$:/plugins/bimlas/locator/templates/field-values": {
            "title": "$:/plugins/bimlas/locator/templates/field-values",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define remove-filtering-of-current-field()\n  <$action-setfield $tiddler=<<intersectionState>> $index=<<currentField>> $value=\"\"/>\n  <$action-setfield $tiddler=<<differenceState>> $index=<<currentField>> $value=\"\"/>\n  <$list filter=\"[<recursiveFilteringOfCurrentFieldAvailable>regexp[yes]]\" variable=\"null\">\n    <$action-setfield $tiddler=\"$:/state/bimlas/locator/search/recursive-filters/\" $index=<<currentField>> $value=\"\"/>\n  </$list>\n\\end\n\n\\define remove-from-intersection-state()\n  <$action-listops $tiddler=<<intersectionState>> $index=<<currentField>> $subfilter=\"-[all[current]]\"/>\n\\end\n\n\\define remove-from-difference-state()\n  <$action-listops $tiddler=<<differenceState>> $index=<<currentField>> $subfilter=\"-[all[current]]\"/>\n\\end\n\n\\define activate-actions()\n  <<__beforeActivateActions__>>\n  <$action-listops $tiddler=<<__filterState__>> $index=<<currentField>> $subfilter=\"[all[current]]\"/>\n\\end\n\n\\define inactivate-actions()\n  <$action-listops $tiddler=<<__filterState__>> $index=<<currentField>> $subfilter=\"-[all[current]]\"/>\n  <$list filter=\"[<recursiveFilteringOfCurrentFieldAvailable>regexp[yes]]\" variable=\"null\">\n    <$action-listops $tiddler=\"$:/state/bimlas/locator/search/recursive-filters/\" $index=<<currentField>> $subfilter=\"-[all[current]]\"/>\n  </$list>\n\\end\n\n\\define button-inactive()\n  <$button tooltip=<<__tooltip__>> class=<<link-button-class>> actions=<<activate-actions>>>\n    <<__icon__>>\n  </$button>\n\\end\n\n\\define button-active()\n  <$button tooltip=<<__tooltip__>> class=<<link-button-class additionalClasses:\"active\">> actions=<<inactivate-actions>>>\n    <<__icon__>>\n  </$button>\n\\end\n\n\\define toggle-button(filterState icon beforeActivateActions tooltip)\n  <$list filter=\"[title<__filterState__>locator-selected-field-values<currentField>is[current]]\" emptyMessage=<<button-inactive>>>\n    <<button-active>>\n  </$list>\n\\end\n\n\\define field-values-of-context-items() [subfilter<filterContextItems>locator-enlist-field-values<currentField>search:title<searchedFieldValue>] [subfilter<filter-selected-field-values>] +[sort[]]\n\n<ol class=\"bimlas-locator\">\n  <li class=<<menu-list-item-class>>>\n    <$tiddler tiddler=\"ANY-VALUE\">\n      <$macrocall\n        $name=\"toggle-button\"\n        filterState=<<intersectionState>>\n        icon={{$:/core/images/new-button}}\n        beforeActivateActions=<<remove-filtering-of-current-field>>\n        tooltip=\"Toggle filtering to any value\"\n      />\n      <$macrocall\n        $name=\"toggle-button\"\n        filterState=<<differenceState>>\n        icon={{$:/core/images/close-button}}\n        beforeActivateActions=<<remove-filtering-of-current-field>>\n        tooltip=\"Toggle filtering to any value\"\n      />\n      __Any value__\n    </$tiddler>\n  </li>\n  <$list filter=\"[subfilter<field-values-of-context-items>regexp[^ANY-VALUE$]count[]] -[[1]]\" variable=\"null\">\n    <$list filter=<<field-values-of-context-items>>>\n      <li class=<<menu-list-item-class>>>\n        <$macrocall\n          $name=\"toggle-button\"\n          filterState=<<intersectionState>>\n          icon={{$:/core/images/new-button}}\n          beforeActivateActions=<<remove-from-difference-state>>\n          tooltip=\"Toggle filtering to this value\"\n        />\n        <$macrocall\n          $name=\"toggle-button\"\n          filterState=<<differenceState>>\n          icon={{$:/core/images/close-button}}\n          beforeActivateActions=<<remove-from-intersection-state>>\n          tooltip=\"Toggle filtering to this value\"\n        />\n        <$list filter=\"[<recursiveFilteringOfCurrentFieldAvailable>regexp[yes]]\" variable=\"null\">\n          <$macrocall\n            $name=\"toggle-button\"\n            filterState=\"$:/state/bimlas/locator/search/recursive-filters/\"\n            icon={{$:/core/images/link}}\n            tooltip=\"Toggle recursive filtering to this value\"\n          />\n        </$list>\n        <$macrocall\n          $name=\"droppable-menu-list-item\"\n          content={{$:/plugins/bimlas/locator/templates/field-value-template}}\n          actions={{$:/plugins/bimlas/locator/actions/add-field-value}}\n        />\n      </li>\n    </$list>\n  </$list>\n</ol>\n"
        },
        "$:/plugins/bimlas/locator/templates/fields-filter": {
            "title": "$:/plugins/bimlas/locator/templates/fields-filter",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define open-actions()\n  <$action-listops $tiddler=<<contextState>> $field=\"opened-fields-filters\" $subfilter=\"[[FIELDS-FILTER]]\"/>\n\\end\n\n\\define close-actions()\n  <$action-listops $tiddler=<<contextState>> $field=\"opened-fields-filters\" $subfilter=\"-[[FIELDS-FILTER]]\"/>\n\\end\n\n\\define opened()\n  <$button class=<<fieldsFilterButtonClass>> actions=<<close-actions>>>\n    {{$:/core/images/up-arrow}} __Filter by fields__\n  </$button>\n  {{$:/plugins/bimlas/locator/buttons/remove-filters}}\n  <ol class=\"bimlas-locator\">\n    {{$:/plugins/bimlas/locator/templates/field-names}}\n  </ol>\n\\end\n\n\\define closed()\n  <$button class=<<fieldsFilterButtonClass>> actions=<<open-actions>>>\n    {{$:/core/images/down-arrow}} __Filter by fields__\n  </$button>\n  {{$:/plugins/bimlas/locator/buttons/remove-filters}}\n\\end\n\n<$set name=\"fieldsFilterButtonClass\" filter=\"[subfilter<filter-selected-field-values>first[]]\" value=<<link-button-class additionalClasses:\"active\">> emptyValue=<<link-button-class>>>\n  <$vars typeOfFieldsFilter=\"nested\">\n    <$list filter=\"[title<contextState>contains:opened-fields-filters[FIELDS-FILTER]]\" emptyMessage=<<closed>>><<opened>></$list>\n  </$vars>\n</$set>"
        },
        "$:/plugins/bimlas/locator/templates/history-item": {
            "title": "$:/plugins/bimlas/locator/templates/history-item",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "{{||$:/plugins/bimlas/locator/buttons/go-up-to-context}}\n{{||$:/plugins/bimlas/locator/field-templates/link}}"
        },
        "$:/plugins/bimlas/locator/templates/history": {
            "title": "$:/plugins/bimlas/locator/templates/history",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<$list filter=<<filter-history>>>\n  <$macrocall $name=\"droppable-menu-list-item\" content={{$:/plugins/bimlas/locator/templates/history-item}} actions={{$:/plugins/bimlas/locator/actions/move-to-another-context}}/>\n</$list>\n"
        },
        "$:/plugins/bimlas/locator/templates/list-of-context-items": {
            "title": "$:/plugins/bimlas/locator/templates/list-of-context-items",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<$list filter=<<filterContextItems>>>\n  <$macrocall\n    $name=\"droppable-menu-list-item\"\n    content={{$:/plugins/bimlas/locator/templates/context-item}}\n    actions={{$:/plugins/bimlas/locator/actions/move-to-another-context}}\n  />\n</$list>"
        },
        "$:/plugins/bimlas/locator/templates/list-of-links-in-text": {
            "title": "$:/plugins/bimlas/locator/templates/list-of-links-in-text",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<$list filter=\"[subfilter<filterContextItems>sort[]]\">\n  {{||$:/plugins/bimlas/locator/templates/context-item}}\n</$list>"
        },
        "$:/plugins/bimlas/locator/templates/search-toolbar": {
            "title": "$:/plugins/bimlas/locator/templates/search-toolbar",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<$vars\n  titleOfNewTiddler={{$:/temp/search}}\n>\n  {{$:/plugins/bimlas/locator/buttons/clear-search-input}}\n  {{$:/plugins/bimlas/locator/buttons/copy-filter-to-advanced-search}}\n  {{$:/plugins/bimlas/locator/buttons/create-new-tiddler}}\n  {{$:/plugins/bimlas/locator/buttons/open-field-settings}}\n</$vars>\n"
        },
        "$:/plugins/bimlas/locator/templates/view-toolbar": {
            "title": "$:/plugins/bimlas/locator/templates/view-toolbar",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<$list filter=\"[title<contextState>!field:invert-direction[yes]]\" variable=\"null\">\n  <$list filter=\"[subfilter<filter-field-of-relationship>!regexp[^LINKS-IN-TEXT$]]\">\n    {{||$:/plugins/bimlas/locator/buttons/create-new-tiddler}}\n  </$list>\n  {{$:/plugins/bimlas/locator/buttons/search-in-context}}\n</$list>\n{{$:/plugins/bimlas/locator/buttons/collapse-history}}\n{{$:/plugins/bimlas/locator/buttons/toggle-context-settings}}"
        },
        "$:/plugins/bimlas/locator/viewtemplate/field-list": {
            "title": "$:/plugins/bimlas/locator/viewtemplate/field-list",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<table class=\"tc-view-field-table\">\n  <tbody>\n    <$list filter=\"[all[current]fields[]locator-enabled-fields[]sort[title]] -text\" variable=\"currentField\">\n      <tr class=\"tc-view-field\">\n        <td class=\"tc-view-field-name\">\n          <$text text=<<currentField>>/>\n        </td>\n        <td class=\"tc-view-field-value\">\n          <$list filter=\"[all[current]locator-enlist-field-values<currentField>]\">\n            {{||$:/plugins/bimlas/locator/templates/field-value-template}}\n          </$list>\n        </td>\n      </tr>\n    </$list>\n  </tbody>\n</table>"
        },
        "$:/plugins/bimlas/locator/viewtemplate/fields-info": {
            "title": "$:/plugins/bimlas/locator/viewtemplate/fields-info",
            "caption": "{{$:/language/TiddlerInfo/Fields/Caption}} (Locator)",
            "list-after": "$:/core/ui/TiddlerInfo/Fields",
            "tags": "$:/tags/TiddlerInfo",
            "type": "text/vnd.tiddlywiki",
            "text": "{{||$:/plugins/bimlas/locator/viewtemplate/field-list}}\n\n{{$:/plugins/bimlas/locator/buttons/open-field-settings}}"
        },
        "$:/plugins/bimlas/locator/viewtemplate/open-in-sidebar": {
            "title": "$:/plugins/bimlas/locator/viewtemplate/open-in-sidebar",
            "tags": "$:/tags/ViewToolbar",
            "type": "text/vnd.tiddlywiki",
            "caption": "{{$:/core/images/chevron-right}} locator sidebar",
            "description": "Browse hierarchy of tag in Locator sidebar",
            "list-before": "$:/core/ui/Buttons/open-window",
            "text": "\\whitespace trim\n<$button tooltip=\"Browse hierarchy of tag in Locator sidebar\" aria-label=\"locator sidebar\" class=<<tv-config-toolbar-class>>>\n<$vars\n  contextState=\"$:/state/bimlas/locator/view/context/\"\n  intersectionState=\"$:/state/bimlas/locator/view/intersection/\"\n  differenceState=\"$:/state/bimlas/locator/view/difference/\"\n>\n  {{||$:/plugins/bimlas/locator/actions/add-to-history}}\n</$vars>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/core/images/chevron-right}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text=\"locator sidebar\"/>\n</span>\n</$list>\n</$button>\n"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/BTC/tiddly-touch/Buttons/change-view": {
            "text": "<$reveal state=\"$:/view\" type=\"nomatch\" text=\"muuri\">\n<$button class=\"tc-btn-invisible\" tooltip=\"muuri storyview\">\n<$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"tiddly-list\" $value={{$:/StoryList!!list}}/><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/Buttons/toggle-drag\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/ViewToolbar\"/></$fieldmangler><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/Buttons/fill-gaps\">\n<$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageControls\"/></$fieldmangler><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/Buttons/swap-tiddler-alignment-horiz-vert\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageControls\"/></$fieldmangler><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/Buttons/swap-tiddler-alignment-left-right\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageControls\"/></$fieldmangler><$list filter=\"[[$:/plugins/BTC/tiddly-touch/config]get[hide-leftbar]!regexp[^yes$]]\"><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/LeftBar\">\n<$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler></$list><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/Buttons/swap-tiddler-alignment-top-bottom\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageControls\"/></$fieldmangler><$fieldmangler tiddler=\"$:/core/ui/PageTemplate/story\">\n<$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/EmptyStoryMessage\">\n<$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/BelowStory\"/></$fieldmangler><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/CSS\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/Stylesheet\"/></$fieldmangler><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/Buttons/more-tiddler-actions\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/ViewToolbar\"/></$fieldmangler><$fieldmangler tiddler=\"$:/core/ui/Buttons/more-tiddler-actions\"><$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/ViewToolbar\"/></$fieldmangler><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/Buttons/toggle-tiddler-width\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/ViewTemplate\"/><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/EditTemplate\"/></$fieldmangler><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"previous-storyview\" $value={{$:/view}}/><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"previous-sidebarlayout\" $value={{$:/themes/tiddlywiki/vanilla/options/sidebarlayout}}/><$action-setfield $tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\" $value=\"fluid-fixed\"/><$action-setfield $tiddler=\"$:/StoryList\" $field=\"list\" $value={{$:/plugins/BTC/tiddly-touch/config!!muuri-list}}/><$action-setfield $tiddler=\"$:/view\" $value=\"muuri\"/><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"previous-sidebar\" $value={{$:/state/sidebar}}/><$action-setfield $tiddler=\"$:/state/sidebar\" $value=\"no\"/><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"spreadsheet-view\" $value=\"no\"/>\n{{$:/plugins/BTC/tiddly-touch/icons!!view-dashboard}}\n</$button>\n</$reveal>\n<$reveal state=\"$:/view\" type=\"match\" text=\"muuri\">\n<$button class=\"tc-btn-invisible\" tooltip=\"leave muuri storyview\">\n<$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"muuri-list\" $value={{$:/StoryList!!list}}/>\n<$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/Buttons/toggle-drag\">\n<$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/ViewToolbar\"/></$fieldmangler><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/Buttons/fill-gaps\">\n<$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageControls\"/></$fieldmangler><$list filter=\"[[$:/plugins/BTC/tiddly-touch/config]get[hide-leftbar]!regexp[^yes$]]\"><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/LeftBar\">\n<$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler></$list><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/Buttons/swap-tiddler-alignment-horiz-vert\"><$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageControls\"/></$fieldmangler><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/Buttons/swap-tiddler-alignment-left-right\"><$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageControls\"/></$fieldmangler><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/Buttons/swap-tiddler-alignment-top-bottom\"><$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageControls\"/></$fieldmangler><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/EmptyStoryMessage\">\n<$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/BelowStory\"/></$fieldmangler><$fieldmangler tiddler=\"$:/core/ui/PageTemplate/story\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\"><$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/CSS\"><$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/Stylesheet\"/></$fieldmangler><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/Buttons/more-tiddler-actions\"><$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/ViewToolbar\"/></$fieldmangler><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/Buttons/toggle-tiddler-width\"><$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/ViewTemplate\"/><$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/EditTemplate\"/></$fieldmangler><$action-deletetiddler $tiddler=\"$:/core/ui/Buttons/more-tiddler-actions\"/><$action-setfield $tiddler=\"$:/StoryList\" $field=\"list\" $value={{$:/plugins/BTC/tiddly-touch/config!!tiddly-list}}/><$action-setfield $tiddler=\"$:/view\" $value={{$:/plugins/BTC/tiddly-touch/config!!previous-storyview}}/><$action-setfield $tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\" $value={{$:/plugins/BTC/tiddly-touch/config!!previous-sidebarlayout}}/><$action-setfield $tiddler=\"$:/state/sidebar\" $value={{$:/plugins/BTC/tiddly-touch/config!!previous-sidebar}}/><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"spreadsheet-view\" $value=\"no\"/>{{$:/plugins/BTC/tiddly-touch/icons!!view-stream}}\n</$button>\n</$reveal>",
            "type": "text/vnd.tiddlywiki",
            "title": "$:/plugins/BTC/tiddly-touch/Buttons/change-view",
            "tags": "$:/tags/PageControls $:/tags/BottomBar",
            "revision": "0",
            "modified": "20180120183331427",
            "description": "switch from classic to muuri view an back",
            "created": "20171223083802430",
            "caption": "{{$:/plugins/BTC/tiddly-touch/icons!!view-dashboard}} switch views",
            "bag": "default"
        },
        "$:/plugins/BTC/tiddly-touch/Buttons/fill-gaps": {
            "text": "<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!fill-gaps\" type=\"nomatch\" text=\"yes\">\n<$button class=\"tc-btn-invisible\" tooltip=\"fill gaps on\">\n<$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\">\n<$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler><$action-setfield $tiddler=\"$:/view\" $value=\"\"/><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"fill-gaps\" $value=\"yes\"/><$action-setfield $tiddler=\"$:/view\" $value=\"muuri\"/><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler>{{$:/plugins/BTC/tiddly-touch/icons!!view-quilt}}\n</$button>\n</$reveal>\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!fill-gaps\" type=\"match\" text=\"yes\">\n<$button class=\"tc-btn-invisible tc-toolbar-icon tc-selected\" tooltip=\"fill gaps off\">\n<$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\">\n<$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler><$action-setfield $tiddler=\"$:/view\" $value=\"\"/><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"fill-gaps\" $value=\"no\"/><$action-setfield $tiddler=\"$:/view\" $value=\"muuri\"/><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler>{{$:/plugins/BTC/tiddly-touch/icons!!view-quilt}}\n</$button>\n</$reveal>",
            "title": "$:/plugins/BTC/tiddly-touch/Buttons/fill-gaps",
            "tags": "$:/tags/LeftBar",
            "modified": "20180121165555479",
            "description": "toggle if muuri should fill gaps or not",
            "created": "20171224154814593",
            "caption": "{{$:/plugins/BTC/tiddly-touch/icons!!view-quilt}} toggle gaps-filling"
        },
        "$:/plugins/BTC/tiddly-touch/Buttons/free-story-tiddlers": {
            "text": "<$list filter=\"[list[$:/StoryList]has[muuri-tiddler-width]get[muuri-tiddler-width]regexp[^(0|1|2|3|4|5|6|7|8|9|10|11|12)$]limit[1]]\">\n<div style=\"width: 100%;\">\n<$button class=\"tc-btn-invisible tc-toolbar-icon\" style=\"width:50%;font-size: 0.4em; float:right;\" tooltip=\"free willy!\">\n<$list filter=\"[list[$:/StoryList]has[muuri-tiddler-width]]\">\n<$action-deletefield $field=\"muuri-tiddler-width\"/></$list>{{$:/plugins/BTC/tiddly-touch/icons!!dot}}</$button>\n</div>\n</$list>",
            "title": "$:/plugins/BTC/tiddly-touch/Buttons/free-story-tiddlers",
            "tags": "$:/tags/LeftBar",
            "muuri-tiddler-width": "6",
            "modified": "20180121151314642",
            "description": "reset the width of all tiddlers in the storyriver",
            "created": "20180121095536511",
            "caption": "{{$:/plugins/BTC/tiddly-touch/icons!!dot}} free willy button"
        },
        "$:/plugins/BTC/tiddly-touch/Buttons/more-tiddler-actions": {
            "text": "\\whitespace trim\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<morePopupState>> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/More/Caption}}/>\n</span>\n</$list>\n</$button>\n<$reveal state=<<morePopupState>> type=\"popup\" position=\"below\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]] -[[$:/core/ui/Buttons/more-tiddler-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>",
            "title": "$:/plugins/BTC/tiddly-touch/Buttons/more-tiddler-actions",
            "modified": "20180121165555480",
            "description": "{{$:/language/Buttons/More/Hint}} made with love for muuri",
            "created": "20180119092120527",
            "caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}} //muuri custom//"
        },
        "$:/plugins/BTC/tiddly-touch/Buttons/swap-tiddler-alignment-horiz-vert": {
            "text": "<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!align-horizontal\" type=\"nomatch\" text=\"yes\">\n<$button class=\"tc-btn-invisible\" tooltip=\"align tiddlers horizontally\">\n<$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\">\n<$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler><$action-setfield $tiddler=\"$:/view\" $value=\"\"/><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"align-horizontal\" $value=\"yes\"/><$action-setfield $tiddler=\"$:/view\" $value=\"muuri\"/><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler>{{$:/plugins/BTC/tiddly-touch/icons!!view-vertical}}\n</$button>\n</$reveal>\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!align-horizontal\" type=\"match\" text=\"yes\">\n<$button class=\"tc-btn-invisible\" tooltip=\"align tiddlers vertically\">\n<$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\">\n<$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler><$action-setfield $tiddler=\"$:/view\" $value=\"\"/><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"align-horizontal\" $value=\"no\"/><$action-setfield $tiddler=\"$:/view\" $value=\"muuri\"/><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler>{{$:/plugins/BTC/tiddly-touch/icons!!view-horizontal}}\n</$button>\n</$reveal>",
            "title": "$:/plugins/BTC/tiddly-touch/Buttons/swap-tiddler-alignment-horiz-vert",
            "tags": "$:/tags/LeftBar",
            "modified": "20180121165555479",
            "description": "switch between vertical and horizontal view",
            "created": "20180119121038549",
            "caption": "{{$:/plugins/BTC/tiddly-touch/icons!!view-horizontal}} switch between vertical / horizontal"
        },
        "$:/plugins/BTC/tiddly-touch/Buttons/swap-tiddler-alignment-left-right": {
            "text": "<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!align-right\" type=\"nomatch\" text=\"yes\">\n<$button class=\"tc-btn-invisible\" tooltip=\"tiddlers aligned left\">\n<$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\">\n<$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler><$action-setfield $tiddler=\"$:/view\" $value=\"\"/><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"align-right\" $value=\"yes\"/><$action-setfield $tiddler=\"$:/view\" $value=\"muuri\"/><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler>{{$:/plugins/BTC/tiddly-touch/icons!!format-align-left}}\n</$button>\n</$reveal>\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!align-right\" type=\"match\" text=\"yes\">\n<$button class=\"tc-btn-invisible\" tooltip=\"tiddlers aligned right\">\n<$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/configPageTemplate/muuri\">\n<$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler><$action-setfield $tiddler=\"$:/view\" $value=\"\"/><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"align-right\" $value=\"no\"/><$action-setfield $tiddler=\"$:/view\" $value=\"muuri\"/><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler>{{$:/plugins/BTC/tiddly-touch/icons!!format-align-right}}\n</$button>\n</$reveal>",
            "title": "$:/plugins/BTC/tiddly-touch/Buttons/swap-tiddler-alignment-left-right",
            "tags": "$:/tags/LeftBar",
            "modified": "20180121165555479",
            "description": "align tiddlers to the left or the right",
            "created": "20171224144532966",
            "caption": "{{$:/plugins/BTC/tiddly-touch/icons!!format-align-right}} align tiddlers to the left or the right"
        },
        "$:/plugins/BTC/tiddly-touch/Buttons/swap-tiddler-alignment-top-bottom": {
            "text": "<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!align-bottom\" type=\"nomatch\" text=\"yes\">\n<$button class=\"tc-btn-invisible\" tooltip=\"tiddlers aligned to the top\">\n<$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\">\n<$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler><$action-setfield $tiddler=\"$:/view\" $value=\"\"/><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"align-bottom\" $value=\"yes\"/><$action-setfield $tiddler=\"$:/view\" $value=\"muuri\"/><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler>{{$:/plugins/BTC/tiddly-touch/icons!!vertical-align-top}}\n</$button>\n</$reveal>\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!align-bottom\" type=\"match\" text=\"yes\">\n<$button class=\"tc-btn-invisible\" tooltip=\"tiddlers aligned to the bottom\">\n<$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\">\n<$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler><$action-setfield $tiddler=\"$:/view\" $value=\"\"/><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"align-bottom\" $value=\"no\"/><$action-setfield $tiddler=\"$:/view\" $value=\"muuri\"/><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler>{{$:/plugins/BTC/tiddly-touch/icons!!vertical-align-bottom}}\n</$button>\n</$reveal>",
            "title": "$:/plugins/BTC/tiddly-touch/Buttons/swap-tiddler-alignment-top-bottom",
            "tags": "$:/tags/LeftBar",
            "modified": "20180121165555479",
            "description": "align tiddlers to the top or the bottom",
            "created": "20171224151228341",
            "caption": "{{$:/plugins/BTC/tiddly-touch/icons!!vertical-align-bottom}} align tiddlers to the top or the bottom"
        },
        "$:/plugins/BTC/tiddly-touch/Buttons/toggle-columns": {
            "text": "\\define columnicons()\n{{$:/plugins/BTC/tiddly-touch/icons!!columns-$(columns)$}}\n\\end\n<$set name=\"columns\" value={{$:/plugins/BTC/tiddly-touch/config!!column-count}}>\n<$set name=\"nextValue\" filter=\"[<columns>] +[next[$:/plugins/BTC/tiddly-touch/Buttons/toggle-columns]]\">\n<$button class=\"tc-btn-invisible tc-toolbar-icon\" tooltip=\"toggle columns\">\n<$list filter=\"[<columns>!regexp[^6$]]\">\n<$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"column-count\" $value=<<nextValue>>/></$list>\n<$list filter=\"[<columns>regexp[^6$]]\">\n<$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"column-count\" $value=\"1\"/>\n</$list><<columnicons>></$button></$set></$set>",
            "title": "$:/plugins/BTC/tiddly-touch/Buttons/toggle-columns",
            "tags": "$:/tags/LeftBar",
            "modified": "20180120183310896",
            "list": "1 2 3 4 5 6",
            "description": "cycle through 1 - 6 columns in the storyriver",
            "created": "20171228133157578",
            "caption": "{{$:/plugins/BTC/tiddly-touch/icons!!columns-6}} cycle through 1 - 6 columns"
        },
        "$:/plugins/BTC/tiddly-touch/Buttons/toggle-drag": {
            "text": "\\define before-actions()\n<$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\">\n<$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler><$action-setfield $tiddler=\"$:/view\" $value=\"\"/>\n\\end\n\\define after-actions()\n<$action-setfield $tiddler=\"$:/view\" $value=\"muuri\"/><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler>\n\\end\n\\define set-dragging-yes-no(yesno)\n<<before-actions>><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"drag-enabled\" $value=\"$yesno$\"/><<after-actions>>\n\\end\n\\define getStoryListIndex(yesno)\n<$set name=\"storyCount\" filter=\"[list[$:/StoryList]count[]]\">\n<$list filter=\"[list[$:/plugins/BTC/tiddly-touch/lists/numbers]limit<storyCount>]\">\n<$list filter=\"[list[$:/StoryList]nth<currentTiddler>title[$(scrollTiddler)$]]\" variable=\"scrollTiddlerIndex\">\n<<set-dragging-yes-no $yesno$>>\n</$list>\n</$list>\n</$set>\n\\end\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!drag-enabled\" type=\"nomatch\" text=\"yes\">\n<$button class=\"tc-btn-invisible tc-dragging-button\" tooltip=\"enable dragging\">\n<$set name=\"scrollTiddler\" value=<<storyTiddler>>>\n<$set name=\"storyList\" filter=\"[list[$:/StoryList]]\">\n<<set-dragging-yes-no yes>>\n</$set>\n</$set>\n{{$:/plugins/BTC/tiddly-touch/icons!!drag-button}}\n</$button>\n</$reveal>\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!drag-enabled\" type=\"match\" text=\"yes\">\n<$button class=\"tc-btn-invisible tc-selected tc-dragging-button\" tooltip=\"disable dragging\">\n<$set name=\"scrollTiddler\" value=<<storyTiddler>>>\n<$set name=\"storyList\" filter=\"[list[$:/StoryList]]\">\n<<set-dragging-yes-no no>>\n</$set>\n</$set>\n{{$:/plugins/BTC/tiddly-touch/icons!!drag-button}}\n</$button>\n</$reveal>",
            "title": "$:/plugins/BTC/tiddly-touch/Buttons/toggle-drag",
            "tags": "$:/tags/LeftBar",
            "modified": "20180121165555479",
            "description": "toggle dragging on/off",
            "created": "20171224145410886",
            "caption": "{{$:/plugins/BTC/tiddly-touch/icons!!drag-button}} toggle dragging"
        },
        "$:/plugins/BTC/tiddly-touch/Buttons/toggle-tiddler-width": {
            "text": "\\define columnicons()\n{{$:/plugins/BTC/tiddly-touch/icons!!columns-$(tiddlerWidth)$}}\n\\end\n\\define next-tiddler-action()\n<$list filter=\"[[$(nextValue)$]regexp[^(1|2|3|4|5|6|7|8|9|10|11|12)$]]\">\n<$action-setfield $tiddler=\"\"\"$(nextStoryTiddler)$\"\"\" $field=\"muuri-tiddler-width\" $value=\"$(nextNextValue)$\" $timestamp=\"no\"/>\n</$list>\n<$list filter=\"[[$(nextValue)$]regexp[^0$]]\">\n<$set name=\"columnCount\" value={{$:/plugins/BTC/tiddly-touch/config!!column-count}}>\n<$set name=\"remainingSpace\" filter=\"1 3 2 8 9 7 5 6 4 10 +[nth<columnCount>]\">\n<$action-setfield $tiddler=\"\"\"$(nextStoryTiddler)$\"\"\" $field=\"muuri-tiddler-width\" $value=<<remainingSpace>> $timestamp=\"no\"/>\n</$set>\n</$set>\n</$list>\n<$list filter=\"[[$(nextValue)$]!regexp[^(0|1|2|3|4|5|6|7|8|9|10|11|12)$]]\">\n<$action-setfield $tiddler=\"\"\"$(nextStoryTiddler)$\"\"\" $field=\"muuri-tiddler-width\" $value=\"7\" $timestamp=\"no\"/>\n</$list>\n\\end\n\\define enslave-next-tiddler-button()\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!adjacent-tiddler-width\" type=\"nomatch\" text=\"yes\">\n<$button class=\"tc-btn-invisible tc-toolbar-icon tc-toolbar-icon-topleft-2\" tooltip=\"enslave $(nextStoryTiddler)$\">\n<$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"adjacent-tiddler-width\" $value=\"yes\"/>\n{{$:/plugins/BTC/tiddly-touch/icons!!dot}}\n</$button>\n</$reveal>\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!adjacent-tiddler-width\" type=\"match\" text=\"yes\">\n<$button class=\"tc-btn-invisible tc-toolbar-icon tc-toolbar-icon-topleft-2 tc-selected blue-icon\" tooltip=\"free $(nextStoryTiddler)$\">\n<$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"adjacent-tiddler-width\" $value=\"no\"/>\n{{$:/plugins/BTC/tiddly-touch/icons!!dot}}\n</$button>\n</$reveal>\n\\end\n\\define toggle-tiddler-width()\n<span class=\"tc-topleft-span\">\n<$list filter=\"[[$(storyTiddler)$]next[$:/StoryList]]\" variable=\"nextStoryTiddler\">\n<$set name=\"tiddlerWidth\" filter=\"[[$(storyTiddler)$]has[muuri-tiddler-width]get[muuri-tiddler-width]regexp[^(0|1|2|3|4|5|6)$]] [[$(storyTiddler)$]has[muuri-tiddler-width]get[muuri-tiddler-width]!regexp[^(0|1|2|3|4|5|6)$]addprefix[0]] [[$(storyTiddler)$]!has[muuri-tiddler-width]addprefix[0]removesuffix[$(storyTiddler)$]]\">\n<$set name=\"nextValue\" filter=\"[<tiddlerWidth>next[$:/plugins/BTC/tiddly-touch/Buttons/toggle-tiddler-width]]\">\n<$set name=\"nextNextValue\" filter=\"0 4 3 2 8 6 +[nth<nextValue>]\">\n<$button class=\"tc-btn-invisible tc-toolbar-icon tc-toolbar-icon-topleft\" tooltip=\"toggle tiddler width\">\n<$list filter=\"[<tiddlerWidth>!regexp[^0$]]\">\n<$action-setfield $tiddler=\"\"\"$(storyTiddler)$\"\"\" $field=\"muuri-tiddler-width\" $value=<<nextValue>> $timestamp=\"no\"/>\n<$list filter=\"[[$:/plugins/BTC/tiddly-touch/config]get[adjacent-tiddler-width]regexp[^yes$]]\">\n<$list filter=\"[<nextStoryTiddler>!regexp[^$]]\">\n<<next-tiddler-action>>\n</$list>\n</$list>\n</$list>\n<$list filter=\"[<tiddlerWidth>regexp[^0$]]\">\n<$action-setfield $tiddler=\"\"\"$(storyTiddler)$\"\"\" $field=\"muuri-tiddler-width\" $value=\"6\" $timestamp=\"no\"/>\n<$list filter=\"[[$:/plugins/BTC/tiddly-touch/config]get[adjacent-tiddler-width]regexp[^yes$]]\">\n<$list filter=\"[<nextStoryTiddler>!regexp[^$]]\">\n<<next-tiddler-action>>\n</$list>\n</$list>\n</$list>\n<<columnicons>>\n</$button>\n</$set></$set></$set>\n<<enslave-next-tiddler-button>>\n</$list>\n<$set name=\"storyListCount\" filter=\"[list[$:/StoryList]count[]]\">\n<$list filter=\"[list[$:/StoryList]nth<storyListCount>regexp[$(storyTiddler)$]]\">\n<$set name=\"tiddlerWidth\" filter=\"[[$(storyTiddler)$]has[muuri-tiddler-width]get[muuri-tiddler-width]regexp[^(0|1|2|3|4|5|6)$]] [[$(storyTiddler)$]has[muuri-tiddler-width]get[muuri-tiddler-width]!regexp[^(0|1|2|3|4|5|6)$]addprefix[0]] [[$(storyTiddler)$]!has[muuri-tiddler-width]addprefix[0]removesuffix[$(storyTiddler)$]]\">\n<$set name=\"nextValue\" filter=\"[<tiddlerWidth>next[$:/plugins/BTC/tiddly-touch/Buttons/toggle-tiddler-width]]\">\n<$button class=\"tc-btn-invisible tc-toolbar-icon tc-toolbar-icon-topleft\" tooltip=\"toggle tiddler width\">\n<$list filter=\"[<tiddlerWidth>!regexp[^0$]]\">\n<$action-setfield $tiddler=\"\"\"$(storyTiddler)$\"\"\" $field=\"muuri-tiddler-width\" $value=<<nextValue>> $timestamp=\"no\"/>\n</$list>\n<$list filter=\"[<tiddlerWidth>regexp[^0$]]\">\n<$action-setfield $tiddler=\"\"\"$(storyTiddler)$\"\"\" $field=\"muuri-tiddler-width\" $value=\"6\" $timestamp=\"no\"/>\n</$list>\n<<columnicons>>\n</$button>\n</$set></$set>\n</$list>\n</$set>\n</span>\n\\end\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!topleft-width-button\" type=\"nomatch\" text=\"no\">\n<<toggle-tiddler-width>>\n</$reveal>",
            "title": "$:/plugins/BTC/tiddly-touch/Buttons/toggle-tiddler-width",
            "modified": "20180121165555480",
            "list": "6 5 4 3 2 1 0",
            "description": "cycle through 6 different widths for the current tiddler",
            "created": "20180120144951684",
            "caption": "{{$:/plugins/BTC/tiddly-touch/icons!!columns-6}} cycle through 6 tiddler widths"
        },
        "$:/plugins/BTC/tiddly-touch/config": {
            "created": "20171223072521383",
            "text": "",
            "vertical-toolbar-user": "no",
            "vertical-toolbar": "yes",
            "topleft-width-button-user": "no",
            "topleft-width-button": "yes",
            "title": "$:/plugins/BTC/tiddly-touch/config",
            "tiddly-view-pagetemplate": "$:/core/ui/PageTemplate/story",
            "tiddly-view": "no",
            "tiddly-story-view": "classic",
            "tiddly-story-list": "",
            "tiddly-sidebar-state": "yes",
            "tiddly-sidebar-layout": "fluid-fixed",
            "tiddly-previous-view": "",
            "tiddly-previous-sidebar": "yes",
            "tiddly-list": "",
            "tiddler-opacity": "e6",
            "slider-width-value": "58",
            "sidebar-new-window": "no",
            "show-duration": "200",
            "seamless": "no",
            "right-grid-width": "2",
            "right-grid": "show",
            "previous-storyview": "classic",
            "previous-sidebarlayout": "fixed-fluid",
            "previous-sidebar": "yes",
            "muuri-view-pagetemplate": "$:/plugins/BTC/tiddly-touch/PageTemplate/muuri",
            "muuri-view": "no",
            "muuri-list": "",
            "modified": "20180121165757540",
            "hide-titles": "no",
            "hide-tags": "no",
            "hide-leftbar": "no",
            "hide-duration": "200",
            "hide-controls": "no",
            "fill-gaps-user": "no",
            "fill-gaps": "yes",
            "drag-sort-threshold": "40",
            "drag-sort-action-user": "yes",
            "drag-sort-action": "move",
            "drag-sort": "yes",
            "drag-enabled": "yes",
            "column-count": "3",
            "child-class": "tc-tiddler-frame",
            "animation-duration": "400",
            "align-right-user": "yes",
            "align-right": "no",
            "align-horizontal": "no",
            "align-bottom-user": "yes",
            "align-bottom": "no",
            "adjacent-tiddler-width-user": "no",
            "adjacent-tiddler-width": "yes"
        },
        "$:/plugins/BTC/tiddly-touch/ControlPanel/settings": {
            "text": "\\define before-actions()\n<$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\">\n<$action-sendmessage $message=\"tm-remove-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler><$action-setfield $tiddler=\"$:/view\" $value=\"\"/>\n\\end\n\\define after-actions()\n<$action-setfield $tiddler=\"$:/view\" $value=\"muuri\"/><$fieldmangler tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/muuri\"><$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/PageTemplate\"/></$fieldmangler>\n\\end\n\\define hide-show-leftbar-actions(setting)\n<$list filter=\"[[$:/plugins/BTC/tiddly-touch/config]get[hide-leftbar]!regexp[^yes$]]\">\n<$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"hide-leftbar\" $value=\"yes\"/>\n</$list>\n<$list filter=\"[[$:/plugins/BTC/tiddly-touch/config]get[hide-leftbar]regexp[^yes$]]\">\n<$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"hide-leftbar\" $value=\"no\"/>\n</$list>\n\\end\n\\define muuri-user-actions(setting)\n<$list filter=\"[[$:/plugins/BTC/tiddly-touch/config]get[$setting$]!regexp[^yes$]]\">\n<<before-actions>><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"$setting$-user\" $value=\"yes\"/><<after-actions>>\n</$list>\n<$list filter=\"[[$:/plugins/BTC/tiddly-touch/config]get[$setting$]regexp[^yes$]]\">\n<<before-actions>><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"$setting$-user\" $value=\"no\"/><$action-setfield $tiddler=\"$:/view\" $value=\"muuri\"/><<after-actions>>\n</$list>\n\\end\n\\define muuri-user-checkbox(setting,checkedunchecked,reload-yesno)\n<$set name=\"description\" value={{$:/plugins/BTC/tiddly-touch/ControlPanel/settings!!description-$setting$}}>\n<$list filter=\"[[$reload-yesno$]!regexp[^noreload$]]\">\n<$checkbox tiddler=\"$:/plugins/BTC/tiddly-touch/config\" field=\"$setting$\" $checkedunchecked$ actions=<<muuri-user-actions $setting$>>>&nbsp;&nbsp;<<description>></$checkbox>\n</$list>\n<$list filter=\"[[$reload-yesno$]regexp[^noreload$]]\">\n<$checkbox tiddler=\"$:/plugins/BTC/tiddly-touch/config\" field=\"$setting$\" $checkedunchecked$>&nbsp;&nbsp;<<description>></$checkbox>\n</$list>\n</$set>\n\\end\n\\define muuri-user-setting-field(setting)\n<$set name=\"description\" value={{$:/plugins/BTC/tiddly-touch/ControlPanel/settings!!description-$setting$}}>\n<$edit-text tiddler=\"$:/plugins/BTC/tiddly-touch/config\" field=\"$setting$\"/>&nbsp;&nbsp;<<description>>\n</$set>\n\\end\n\\define get-muuri-user-action(reload-yesno)\n<<muuri-user-checkbox \"$(listItem)$\" 'checked=\"yes\" unchecked=\"no\" '>>\n\\end\n\\define get-muuri-user-action-reverted()\n<<muuri-user-checkbox \"$(listItem)$\" 'checked=\"no\" unchecked=\"yes\" ' $reload-yesno$>>\n\\end\n\nTweak TiddlyTouch to your likings\n\n<hr>\n\n<$checkbox tiddler=\"$:/plugins/BTC/tiddly-touch/config\" field=\"sidebar-new-window\" checked=\"yes\" unchecked=\"no\">&nbsp;&nbsp;leftbar sidebar button (top right button will behave the standard way): open sidebar in new window on/off</$checkbox>\n\n<$list filter=\"[list[$:/plugins/BTC/tiddly-touch/ControlPanel/settings!!user-checkboxes]]\" variable=\"listItem\">\n\n<<get-muuri-user-action>>\n\n</$list>\n\n<$list filter=\"[list[$:/plugins/BTC/tiddly-touch/ControlPanel/settings!!user-checkboxes-noreload]]\" variable=\"listItem\">\n\n<<get-muuri-user-action noreload>>\n\n</$list>\n\n<$list filter=\"[list[$:/plugins/BTC/tiddly-touch/ControlPanel/settings!!user-checkboxes-reverted]]\" variable=\"listItem\">\n\n<<get-muuri-user-action-reverted>>\n\n</$list>\n\n<$checkbox tiddler=\"$:/plugins/BTC/tiddly-touch/PageTemplate/LeftBar\" tag=\"$:/tags/PageTemplate\" invertTag=\"yes\" actions=<<hide-show-leftbar-actions>>>&nbsp;&nbsp;hide the left bar</$checkbox>\n\n<<muuri-user-checkbox \"drag-sort-action\" ' checked=\"swap\" unchecked=\"move\" '>>\n\n> For the following settings to take effect a muuri reload is needed. The simplest way to do that is switching to the normal view and back\n\n<br>\n\n<<muuri-user-setting-field \"show-duration\">>\n\n<<muuri-user-setting-field \"hide-duration\">>\n\n<<muuri-user-setting-field \"animation-duration\">>\n\n",
            "user-checkboxes-reverted": "vertical-toolbar topleft-width-button",
            "user-checkboxes-noreload": "",
            "user-checkboxes": "fill-gaps align-right align-bottom",
            "title": "$:/plugins/BTC/tiddly-touch/ControlPanel/settings",
            "tags": "$:/tags/ControlPanel/Appearance",
            "modified": "20180121130319910",
            "description-vertical-toolbar": "disable the vertical toolbar",
            "description-topleft-width-button": "hide the topleft tiddler-width buttons",
            "description-show-duration": "the duration in milliseconds for the show-animation",
            "description-hide-duration": "the duration in milliseconds for the hide-animation",
            "description-fill-gaps": "fill gaps when sorting tiddlers on the storyriver",
            "description-drag-sort-action": "dragging tiddlers behaviour: move tiddlers to new positions or swap the tiddler positions<br>//unselected: move, selected: swap//<br>//in horizontal view, `swap` appears to work better",
            "description-animation-duration": "the duration in milliseconds for the layout-animation",
            "description-align-right": "show tiddlers from right to left inside the storyriver",
            "description-align-bottom": "show tiddlers from bottom to top inside the storyriver",
            "description-adjacent-tiddler-width": "adjacent tiddler width",
            "created": "20180102073125992",
            "caption": "Muuri settings"
        },
        "$:/plugins/BTC/tiddly-touch/CSS": {
            "text": ".grid, .tc-muuri-grid { position: relative; } .tc-tiddler-frame { display: block; position: absolute; width: 100%; margin: 8px;}  .tc-tiddler-frame.tc-dragover { z-index: 2; } .tc-tiddler-frame.muuri-hidden { z-index: 0; display: none; } .tc-tiddler-frame:hover, .tc-tiddler-frame:focus { z-index: 3; }  .tc-tiddler-frame-content { position: relative; width: 100%; height: 100%; }\n.tc-tiddler-frame.tc-dragging { z-index: 999; } .tc-alert, .tc-alerts { z-index: 999999 !important; }\n\n/* ** Tiddler view styles */\n\n\n.tc-btn-invisible.tc-toolbar-icon {\n        color: <<colour muted-foreground>>;\n        vertical-align: sub;\n}\n\n.tc-btn-invisible.tc-toolbar-icon:hover {\n        color: <<colour foreground>>;\n}\n\n.tc-tagged-defined-width {\n    width: calc(100vw / 3.5) !important;\n}\n\n.tc-tagged-defined-width-2 {\n    width: calc(100vw / 2) !important;\n}\n\n.tc-tiddler-frame.tc-tagged-6 { width: calc(100% * 6 / 12 - 16px); min-width: calc(72px * 6); }\n\n }\n\n.tc-tiddler-frame {\n\tbackground-color: <<colour tiddler-background>>{{$:/config/muritest!!tiddler-opacity}} !important;\n}\n\n<<if-no-sidebar \"\n\n.tc-sidebar-scrollable {\n\tdisplay: none;\n}\n\n.tc-topbar-right {\n        right: 10px !important;\n}\n\n\">>\n\n.tc-story-river {\n\tpadding-top: 0px !important;\n}\n\n.tc-muuri-empty-story {\n    height: 60vh;\n    display: flex;\n    justify-content: center;\n    flex-direction: column;\n    text-align: center;\n}\n\n\n.tc-tagged-Journal {\n    background-color: #feff9c !important;\n    border-color: #fff740 !important;\n}\n\n.tc-tiddler-frame.span-4 iframe {\n    min-height: calc(100vh / 4);\n}\n\n.tc-tiddler-frame.span-6 iframe {\n    min-height: calc(100vh / 3);\n}\n\n.tc-tiddler-frame.span-9 iframe, .tc-tiddler-frame.span-12 iframe {\n    min-height: calc(100vh / 2);\n}\n\n/*.tc-tiddler-frame img, .tc-tiddler-frame image { position: relative; display: block;  height: auto; } */\n\n@media (max-height: 500px) {\n\n.tc-image-full-screen-button {\n    fill: <<colour primary>> !important;\n}\n\n.tc-story-river {\n    padding: 0px 0px 0px 25px;\n}\n\n\n}\n\n\n@media (max-width: 500px) {\n\n.tc-tiddler-frame {\n    padding: 14px 28px 14px 14px;\n}\n\n.tc-topbar-right {\n    display: none !important;\n}\n\n.tc-story-river {\n    padding: 0px 0px 0px 25px !important;\n}\n\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!vertical-toolbar\" type=\"nomatch\" text=\"no\">\n\n.tc-tiddler-frame {\n    min-height: 130px;\n}\n\n</$reveal>\n\n.tc-image-full-screen-button {\n    fill: <<colour primary>> !important;\n}\n}\n\n<<if-horizontal-grid \"\"\"\n\n\n\n.grid, .tc-muuri-grid {\n    height: calc(100vh - 15px);\n    max-height: calc(100vh - 15px);\n    min-width: 100%;\n}\n\n.tc-story-river {\n    height: calc(100vh - 15px);\n    max-height: calc(100vh - 15px);\n    min-width: calc(100vw - 84px);\n}\n\n.tc-sidebar-scrollable {\n\n}\n\n\"\"\">>\n\n.tc-muuri-grid .tc-drop-down {\n    min-width: 220px;\n}\n\n.tc-tiddler-frame.tc-tagged-sampletag {\nmax-height: 10vh !important;\nmax-width: 10vh !important;\nmin-height: 10vh !important;\nmin-width: 10vh !important;\npadding: 5px 5px 5px 5px;\ntext-align: center !important;\nvertical-align: center;\n}\n\n.tc-tiddler-frame.tc-tagged-sampletag .tc-titlebar h2 {\n   display: none;\n}\n.tc-tiddler-frame.tc-tagged-sampletag .tc-titlebar {\n    display: none !important;\n}\n\n.tc-tiddler-frame.tc-tagged-sampletag .tc-subtitle, .tc-tiddler-frame.tc-tagged-sampletag .tc-tags-wrapper, .tc-tiddler-frame.tc-tagged-sampletag .tc-tiddler-controls {\n    display: none !important;\n}\n\n<<if-dragging-enabled \"\"\"\n\n.tc-dragging-button {\n    color: <$macrocall $name=\"colour\" name=\"very-muted-foreground\"/> !important;\n}\n\n\"\"\">>\n\n@media (min-width: 900px) {\n    .tc-sidebar-scrollable {\n    background-color: <<colour background>>{{$:/config/muritest!!tiddler-opacity}} !important;\n    background: <<colour background>>{{$:/config/muritest!!tiddler-opacity}} ;\n    z-index: 9999;\n    box-shadow: -1px 0px 1px 1px <<colour muted-foreground>>;\n}\n}\n\n<<if-sidebar \"\"\"\n\n.tc-topbar-right {\n    z-index: 10000 !important;\n}\n\n.tc-story-river {\n    padding-right: 42px !important;\n    margin-right: 0px !important;\n}\n\n\"\"\">>\n\n.tc-tiddler-frame.span-4 , .tc-tiddler-frame.span-5, .tc-tiddler-frame.span-6, .tc-tiddler-frame.span-7, .tc-tiddler-frame.span-8, .tc-tiddler-frame.span-9, .tc-tiddler-frame.span-10, .tc-tiddler-frame.span-11, .tc-tiddler-frame.span-12, .tc-tiddler-frame.span-13  {\n    padding-left: 42px;\n    padding-right: 42px;\n}\n\n<<vertical-toolbar-yes-no>>\n\n<<vertical-toolbar-macro>>\n\n<<toggle-muuri-columns>>\n\n.span-4 .tc-tiddler-controls, .span-5 .tc-tiddler-controls, .span-6 .tc-tiddler-controls, .span-7 .tc-tiddler-controls, .span-8 .tc-tiddler-controls, .span-9 .tc-tiddler-controls, .span-10 .tc-tiddler-controls, .span-11 .tc-tiddler-controls, .span-12 .tc-tiddler-controls, .span-13 .tc-tiddler-controls {\n    right: -60px !important;\n}\n\n.span-4 .tc-tiddler-info, .span-5 .tc-tiddler-info, .span-13 .tc-tiddler-info, .span-6 .tc-tiddler-info, .span-7 .tc-tiddler-info, .span-8 .tc-tiddler-info, .span-9 .tc-tiddler-info, .span-10 .tc-tiddler-info, .span-11 .tc-tiddler-info, .span-12 .tc-tiddler-info {\n    margin-left: -20px;\n    margin-right: -20px;\n    padding-left: 10px;\n    padding-right: 10px;\n}\n\n.span-4 .tc-unfold-banner, .span-5 .tc-unfold-banner, .span-6 .tc-unfold-banner, .span-7 .tc-unfold-banner, .span-8 .tc-unfold-banner, .span-9 .tc-unfold-banner, .span-10 .tc-unfold-banner, .span-11 .tc-unfold-banner, .span-12 .tc-unfold-banner, .span-13 .tc-unfold-banner {\n   margin-left: -43px;\n   width: 100%;\n}\n\n.span-4 .tc-fold-banner, .span-5 .tc-fold-banner, .span-6 .tc-fold-banner, .span-7 .tc-fold-banner, .span-8 .tc-fold-banner, .span-9 .tc-fold-banner, .span-10 .tc-fold-banner, .span-11 .tc-fold-banner, .span-12 .tc-fold-banner, .span-13 .tc-fold-banner {\n    margin-left: -35px;\n    width: 23px;\n}\n\n.tc-leftbar , div.tc-leftbar-open {\n\tposition: fixed;\n\tz-index: 1200;\n}\n\n.tc-leftbar button {\n\tpadding: 8px;\n}\n\n.tc-leftbar svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-leftbar button:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-leftbar {\n    position: fixed;\n    top: 5vh;\n    left: 0px;\n    width: 32px;\n    font-size: 1.6em !important;\n    padding-left:6px;\n}\n\ndiv.tc-leftbar-open {\n    position: fixed;\n    bottom: 10vh;\n    right:0px;\n    width: 42px;\n    font-size: 1.6rem;\n}\n\nspan.tc-leftbar-open a {\n\tdisplay: none;\n}\n\n.tc-leftbar-open span:hover > .tc-leftbar-open span > a { \n\tdisplay: inline-block !important;\n}\n\n@media (max-height: 500px) {\n.tc-leftbar {\n   position: fixed;\n    top: -1vh;\n    left: 0px;\n    width: 25px;\n    font-size: 1.2rem !important;\n    padding-left:2px;\n}\n.tc-tiddler-view-frame:not(.tc-tiddler-folded) .tc-tiddler-controls {\n    width: 0.8em;\n    right: -27px;\n    position: fixed;\n    top: -20px;\n}\n.tc-leftbar .tc-btn-invisible {\n    padding: 1px 4px 1px 4px;\n}\n.tc-leftbar .material-icons {\n    font-size: 1.2rem !important;\n}\n.tc-topbar-right {\n    display: none !important;\n}\n.tc-tiddler-frame {\n    padding: 14px 28px 14px 14px;\n}\n}\n\n\n@media (max-width: 500px) {\n.tc-leftbar {\n    position: fixed;\n    top: 0vh;\n    left: 0px;\n    width: 20px;\n    font-size: 1.2em !important;\n    padding-left:0px;\n}\n\n.tc-leftbar .material-icons {\n    font-size: 1.2em !important;\n}\n}\n\n<<tiddly-touch-toolbar-left-right>>\n\n/*@media (max-width: 500px) {\n    .tc-sidebar-scrollable {\n         max-height: 45vh !important;\n         padding-left: 20px !important;\n}\n}*/\n\n.tc-btn-invisible.tc-toolbar-icon {\n        color: <<colour muted-foreground>>;\n        vertical-align: sub;\n}\n\n.tc-btn-invisible.tc-toolbar-icon:hover {\n        color: <<colour foreground>>;\n}\n\n.tc-sidebar-lists .tc-tiddler-edit-frame {\n    width: calc(100% - 42px) !important;\n}\n\n@media (max-width: 500px) {\n    .tc-story-river .tc-tiddler-edit-frame {\n\n}\n    .tc-leftbar {\n        display: none;\n}\n    .tc-story-river {\n        padding: 1% 1% 0% 1% !important;\n        width: 100%;\n}\n\n<<mobile-portrait-tiles>>\n\n}\n\n.tc-single-tiddler-window .tc-sidebar-window {\n    position: absolute;\n    width: 100%;\n    height: 100%;\n    padding: 3% 3% 0% 3%;\n}\n\n.tc-single-tiddler-window {\n    background-color: <<colour page-background>> !important;\n}\n\n/*@media (max-device-width: 500px) {\n    .tc-single-tiddler-window .tc-sidebar-window {\n    padding: 2% 2% 0% 2%;\n    font-size: 2rem !important;\n    line-height: 2em !important;\n}\n}*/\n\n.tc-single-tiddler-window .tc-sidebar-window:not(.tc-sidebar-lists) .tc-tiddler-edit-frame {\n    border: 0px solid <<colour page-background>> !important;\n    padding: 2% 2% 2% 2% !important;\n    box-shadow: none !important;\n    width: 90% !important;\n}\n\n<<sidebar-new-window-tiddler-edit-frame-hide>>\n\n.tc-leftbar button.tc-selected {\n    -webkit-filter: drop-shadow(0px -1px 2px rgba(0,0,0,0.25));\n    -moz-filter: drop-shadow(0px -1px 2px rgba(0,0,0,0.25));\n    filter: drop-shadow(0px -1px 2px rgba(0,0,0,0.25));\n}\n\n.tc-leftbar button.tc-selected svg {\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n}\n\n.tc-leftbar .tc-btn-invisible.tc-toolbar-icon.tc-selected.tc-dragging-button {\n        color: <<colour tiddler-controls-foreground-selected>> !important;\n}\n\nsvg.blue-icon, svg.blue-icon:hover, .tc-tiddler-controls button svg.blue-icon {\n    fill: <<colour primary>>;\n}\n\nsvg.green-icon, svg.green-icon:hover {\n\tfill: <<colour download-background>>;\n}\n\nsvg.red-icon, svg.red-icon:hover {\n    fill: <<colour code-foreground>>;\n}\n\n<<show-hide-tiddler-title-tags>>\n\n<<hide-controls-from-user>>\n\n.tc-tiddler-body.tc-muuri-spreadsheet  {\n    min-height: 0px !important;\n    font-size: 8px !important;\n    line-height: 12px !important;\n}\n\n.tc-tiddler-frame.tc-muuri-spreadsheet {\n    width: calc((100% / 20) - 1px) !important;\n    min-width: calc((100% / 30) - 1px) !important;\n    min-height: calc((95vh / 20) - 1px) !important;\n    height: calc((95vh / 10) - 1px) !important;\n    max-width: calc((100% / 20) - 1px) !important;\n    max-height: calc((95vh / 10) - 1px) !important;\n    box-shadow: none !important;\n    padding: 0px 0px 0px 0px !important;\n    margin: 0 1px 1px 0 !important;\n    border-radius: 0px !important;\n    border: 1px solid rgba( 0, 0, 0, 0.1) !important;\n}\n\n<<if-spreadsheet-view \"\"\"\n\n.tc-story-river {\n    padding-bottom: 0px;\n}\n\n.tc-muuri-grid {\n    margin-left: 8px;\n}\n\n\"\"\">>\n\n.tc-dynaview-zoom-factor-1, .tc-dynaview-zoom-factor-2, .tc-dynaview-zoom-factor-3, .tc-dynaview-zoom-factor-4 {\n    display: none;\n}\n\n.tc-dynaview-zoom-factor-1 .tc-dynaview-zoom-factor-1, .tc-dynaview-zoom-factor-2 .tc-dynaview-zoom-factor-2, .tc-dynaview-zoom-factor-3 .tc-dynaview-zoom-factor-3,\n .tc-dynaview-zoom-factor-4 .tc-dynaview-zoom-factor-4 {\n    display: block !important;\n}\n\n.tc-dynaview-zoom-factor-1 .tc-dynaview-zoom-factor-2, .tc-dynaview-zoom-factor-1 .tc-dynaview-zoom-factor-3, .tc-dynaview-zoom-factor-1 .tc-dynaview-zoom-factor-4, .tc-dynaview-zoom-factor-2 .tc-dynaview-zoom-factor-1, .tc-dynaview-zoom-factor-2 .tc-dynaview-zoom-factor-3, .tc-dynaview-zoom-factor-2 .tc-dynaview-zoom-factor-4, .tc-dynaview-zoom-factor-3 .tc-dynaview-zoom-factor-1, .tc-dynaview-zoom-factor-3 .tc-dynaview-zoom-factor-2, .tc-dynaview-zoom-factor-3 .tc-dynaview-zoom-factor-4, .tc-dynaview-zoom-factor-4 .tc-dynaview-zoom-factor-1, .tc-dynaview-zoom-factor-4 .tc-dynaview-zoom-factor-2, .tc-dynaview-zoom-factor-4 .tc-dynaview-zoom-factor-3 {\n    display: none;\n}\n\n.tc-below-spreadsheet-view {\n    position: fixed !important;\n    bottom: 0px;\n    background-color: <<colour page-background>>;\n    z-index: 99999;\n}\n\nbutton.tc-btn-invisible.tc-spreadsheet-cell {\n    display: inline-block;\n    outline: none;\n    width: calc(100% - 0px);\n    height: calc(100% - 0px);\n}\n\n.tc-story-river.tc-spreadsheet-view .tc-muuri-grid {\n    max-height: 45vh !important;\n}\n\n.tc-grid-1 {\n    position: relative;\n}\n\n.tc-grid-2 {\n    position: fixed;\n    width: 13%;\n    background-color: transparent;\n    left: 42px;\n    top: 0px;\n    height: 100vh;\n    border: none;\n    overflow-y: scroll;\n    overflow-x: hidden;\n}\n\n.tc-grid-3 {\n    position: fixed;\n    background-color: transparent;\n    width: 13%;\n    right: 46px;\n    top: 0px;\n    height: 100vh;\n    border: none;\n    border-right: 0px solid #ffffff;\n    overflow-y: scroll;\n    overflow-x: hidden;\n}\n\n.tc-grid-3::-webkit-scrollbar, .tc-grid-2::-webkit-scrollbar {\n    display: none;\n}\n\n.tc-grid-2 .tc-tiddler-frame, .tc-grid-3 .tc-tiddler-frame {\n    width: 100%;\n}\n\n.tc-grid-2 .tc-tiddler-body, .tc-grid-3 .tc-tiddler-body, .tc-grid-2 .tc-tags-wrapper, .tc-grid-3 .tc-tags-wrapper, .tc-grid-2 .tc-tiddler-controls, .tc-grid-3 .tc-tiddler-controls {\n    display: none;\n}\n\n.tc-grid-2 .tc-title, .tc-grid-2 .tc-title h2, .tc-grid-3 .tc-title, .tc-grid-3 .tc-title h2, .tc-grid-2 .tc-titlebar, .tc-grid-3 .tc-titlebar {\n    font-size: 15px;\n    line-height: 16px;\n    display: inline-block;\n}\n\n.tc-grid-2 .tc-tiddler-frame, .tc-grid-3 .tc-tiddler-frame {\n   padding: 0px 10px 10px 10px;\n   max-height: calc(100vh / 6);\n   min-height: calc(100vh / 10);\n   width: 100%;\n}\n\n.grid-container-1 {\n    position: relative;\n    z-index: 1;\n    min-height: 800px !important;\n}\n\n.grid-container-2 {\n    position: relative;\n    z-index: 1;\n    min-height: 800px !important;\n}\n\n.grid-container-3 {\n    position: relative;\n    z-index: 1;\n    min-height: 800px !important;\n}\n\n.grid-container-3 .tc-tiddler-frame {\n    margin-top: 2px;\n    margin-bottom: 2px;\n    margin-left: 4px;\n    margin-right: 4px;\n}\n\n.grid-container-2 .tc-tiddler-frame, .tc-grid-2 .tc-tiddler-frame {\n    min-width: 0px !important;\n    margin-top: 2px;\n    margin-bottom: 2px;\n    margin-left: 4px;\n    margin-right: 4px;\n}\n\n.tc-muuri-header {\n    height: 100px;\n    width: 100%;\n    background-color: <<colour primary>>;\n}\n\nbutton.no-outline {\n    outline: none !important;\n}\n\n<<hide-tiddler-borders-and-gaps>>\n\n\n.tc-dragging img, .tc-dragging image, .muuri-item-dragging img, .muuri-item-dragging image, .tc-dragging svg, .tc-dragging iframe {\n    opacity: 0.3 !important;\n}\n\n.tc-btn-invisible {\n    outline: none !important;\n}\n\n.fade-in {\n\n    -webkit-animation: fadein 0.4s; /* Safari, Chrome and Opera > 12.1 */\n       -moz-animation: fadein 0.4s; /* Firefox < 16 */\n        -ms-animation: fadein 0.4s; /* Internet Explorer */\n         -o-animation: fadein 0.4s; /* Opera < 12.1 */\n            animation: fadein 0.4s;\n}\n\n@keyframes fadein {\n    from { opacity: 0; }\n    to   { opacity: 1; }\n}\n\n/* Firefox < 16 */\n@-moz-keyframes fadein {\n    from { opacity: 0; }\n    to   { opacity: 1; }\n}\n\n/* Safari, Chrome and Opera > 12.1 */\n@-webkit-keyframes fadein {\n    from { opacity: 0; }\n    to   { opacity: 1; }\n}\n\n/* Internet Explorer */\n@-ms-keyframes fadein {\n    from { opacity: 0; }\n    to   { opacity: 1; }\n}\n\n/* Opera < 12.1 */\n@-o-keyframes fadein {\n    from { opacity: 0; }\n    to   { opacity: 1; }\n}\n\n.limit-image img, .limit-image image, .limit-image svg {\n    max-width: 100%;\n    position: relative;\n}\n\n<<show-hide-right-grid>>\n\n<<show-hide-left-grid>>\n\n<<rightgrid-width-macro>>\n\n.tc-btn-invisible.tc-text-button {\n    color: <<colour muted-foreground>>;\n}\n\n.tc-btn-invisible.tc-text-button.tc-selected {\n    color: <<colour foreground>>;\n    font-weight: 500;\n}\n\n.tc-btn-invisible.tc-text-button:hover {\n    color: <<colour foreground>>;\n}\n\n.tc-grid-1 .tc-dragging .tc-tiddler-body {\n        mix-blend-mode: multiply;\n}\n\n.tc-grid-migrate-2 .tc-tiddler-frame {\n    border: 10px solid #ff0000;\n}\n\n.tc-tiddler-frame.tc-tiddler-more-popup {\n  z-index: 5;\n}\n\n.tc-toolbar-icon-topleft {\n    position: fixed;\n    top: 5px;\n    font-size: 1.3em;\n    left: 30px;\n}\n\n.tc-toolbar-icon-topleft-2 {\n    position: fixed;\n    top: 5px;\n    font-size: 0.6em;\n    left: 60px;\n}\n\n.tc-toolbar-icon-topleft-2 svg {\n    fill: <<colour muted-foreground>>;\n    vertical-align: bottom;\n}\n.tc-toolbar-icon-topleft svg {\n    fill: <<colour muted-foreground>>;\n    }\n    .tc-topleft-span:hover .tc-toolbar-icon-topleft-2 svg {\n    fill: <<colour muted-foreground>>;\n    }\n.tc-topleft-span:hover .tc-toolbar-icon-topleft svg, .tc-topleft-span:hover .tc-toolbar-icon-topleft-2.tc-selected svg {\n    fill: <<colour primary>>;\n    }",
            "title": "$:/plugins/BTC/tiddly-touch/CSS",
            "modified": "20180121165555480",
            "list-after": "$:/themes/tiddlywiki/vanilla/base",
            "created": "20180118195938162"
        },
        "$:/plugins/BTC/tiddly-touch/icons": {
            "text": "<svg class=\"tc-image-button\" width=\"24pt\" height=\"24pt\" />\n",
            "visibility-off-red": "<svg class=\"tc-image-button red-icon\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M12 7c2.76 0 5 2.24 5 5 0 .65-.13 1.26-.36 1.83l2.92 2.92c1.51-1.26 2.7-2.89 3.43-4.75-1.73-4.39-6-7.5-11-7.5-1.4 0-2.74.25-3.98.7l2.16 2.16C10.74 7.13 11.35 7 12 7zM2 4.27l2.28 2.28.46.46C3.08 8.3 1.78 10.02 1 12c1.73 4.39 6 7.5 11 7.5 1.55 0 3.03-.3 4.38-.84l.42.42L19.73 22 21 20.73 3.27 3 2 4.27zM7.53 9.8l1.55 1.55c-.05.21-.08.43-.08.65 0 1.66 1.34 3 3 3 .22 0 .44-.03.65-.08l1.55 1.55c-.67.33-1.41.53-2.2.53-2.76 0-5-2.24-5-5 0-.79.2-1.53.53-2.2zm4.31-.78l3.15 3.15.02-.16c0-1.66-1.34-3-3-3l-.17.01z\"/></svg>",
            "visibility-off-green": "<svg class=\"tc-image-button green-icon\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M12 7c2.76 0 5 2.24 5 5 0 .65-.13 1.26-.36 1.83l2.92 2.92c1.51-1.26 2.7-2.89 3.43-4.75-1.73-4.39-6-7.5-11-7.5-1.4 0-2.74.25-3.98.7l2.16 2.16C10.74 7.13 11.35 7 12 7zM2 4.27l2.28 2.28.46.46C3.08 8.3 1.78 10.02 1 12c1.73 4.39 6 7.5 11 7.5 1.55 0 3.03-.3 4.38-.84l.42.42L19.73 22 21 20.73 3.27 3 2 4.27zM7.53 9.8l1.55 1.55c-.05.21-.08.43-.08.65 0 1.66 1.34 3 3 3 .22 0 .44-.03.65-.08l1.55 1.55c-.67.33-1.41.53-2.2.53-2.76 0-5-2.24-5-5 0-.79.2-1.53.53-2.2zm4.31-.78l3.15 3.15.02-.16c0-1.66-1.34-3-3-3l-.17.01z\"/></svg>",
            "visibility-off-blue": "<svg class=\"tc-image-button blue-icon\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M12 7c2.76 0 5 2.24 5 5 0 .65-.13 1.26-.36 1.83l2.92 2.92c1.51-1.26 2.7-2.89 3.43-4.75-1.73-4.39-6-7.5-11-7.5-1.4 0-2.74.25-3.98.7l2.16 2.16C10.74 7.13 11.35 7 12 7zM2 4.27l2.28 2.28.46.46C3.08 8.3 1.78 10.02 1 12c1.73 4.39 6 7.5 11 7.5 1.55 0 3.03-.3 4.38-.84l.42.42L19.73 22 21 20.73 3.27 3 2 4.27zM7.53 9.8l1.55 1.55c-.05.21-.08.43-.08.65 0 1.66 1.34 3 3 3 .22 0 .44-.03.65-.08l1.55 1.55c-.67.33-1.41.53-2.2.53-2.76 0-5-2.24-5-5 0-.79.2-1.53.53-2.2zm4.31-.78l3.15 3.15.02-.16c0-1.66-1.34-3-3-3l-.17.01z\"/></svg>",
            "visibility": "<svg class=\"tc-image-button\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M12 4.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5zM12 17c-2.76 0-5-2.24-5-5s2.24-5 5-5 5 2.24 5 5-2.24 5-5 5zm0-8c-1.66 0-3 1.34-3 3s1.34 3 3 3 3-1.34 3-3-1.34-3-3-3z\"/></svg>",
            "view-vertical": "<svg class=\"tc-image-button\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M16 17.01V10h-2v7.01h-3L15 21l4-3.99h-3zM9 3L5 6.99h3V14h2V6.99h3L9 3z\"/></svg>",
            "view-stream": "<svg class=\"tc-image-button\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M4 18h17v-6H4v6zM4 5v6h17V5H4z\"/></svg>",
            "view-quilt": "<svg class=\"tc-image-button\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M10 18h5v-6h-5v6zm-6 0h5V5H4v13zm12 0h5v-6h-5v6zM10 5v6h11V5H10z\"/></svg>",
            "view-horizontal": "<svg class=\"tc-image-button\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M6.99 11L3 15l3.99 4v-3H14v-2H6.99v-3zM21 9l-3.99-4v3H10v2h7.01v3L21 9z\"/></svg>",
            "view-dashboard": "<svg class=\"tc-image-button\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M3 13h8V3H3v10zm0 8h8v-6H3v6zm10 0h8V11h-8v10zm0-18v6h8V3h-8z\"/></svg>",
            "vertical-align-top": "<svg class=\"tc-image-button\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M8 11h3v10h2V11h3l-4-4-4 4zM4 3v2h16V3H4z\"/></svg>",
            "vertical-align-bottom": "<svg class=\"tc-image-button\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M16 13h-3V3h-2v10H8l4 4 4-4zM4 19v2h16v-2H4z\"/></svg>",
            "title": "$:/plugins/BTC/tiddly-touch/icons",
            "tiddly-view": "<svg class=\"tc-image-button\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M4 18h17v-6H4v6zM4 5v6h17V5H4z\"/></svg>",
            "tags": "",
            "spreadsheet-view": "<svg class=\"tc-image-button\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/></svg>",
            "muuri-view": "<svg class=\"tc-image-button\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M3 13h8V3H3v10zm0 8h8v-6H3v6zm10 0h8V11h-8v10zm0-18v6h8V3h-8z\"/></svg>",
            "modified": "20180121101037431",
            "format-align-right": "<svg class=\"tc-image-button\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M3 21h18v-2H3v2zm6-4h12v-2H9v2zm-6-4h18v-2H3v2zm6-4h12V7H9v2zM3 3v2h18V3H3z\"/></svg>",
            "format-align-left": "<svg class=\"tc-image-button\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M15 15H3v2h12v-2zm0-8H3v2h12V7zM3 13h18v-2H3v2zm0 8h18v-2H3v2zM3 3v2h18V3H3z\"/></svg>",
            "drag-button": "<svg class=\"tc-image-button\" width=\"24pt\" height=\"24pt\" viewBox=\"0 0 24 24\"><path d=\"M9 11.24V7.5C9 6.12 10.12 5 11.5 5S14 6.12 14 7.5v3.74c1.21-.81 2-2.18 2-3.74C16 5.01 13.99 3 11.5 3S7 5.01 7 7.5c0 1.56.79 2.93 2 3.74zm9.84 4.63l-4.54-2.26c-.17-.07-.35-.11-.54-.11H13v-6c0-.83-.67-1.5-1.5-1.5S10 6.67 10 7.5v10.74l-3.43-.72c-.08-.01-.15-.03-.24-.03-.31 0-.59.13-.79.33l-.79.8 4.94 4.94c.27.27.65.44 1.06.44h6.79c.75 0 1.33-.55 1.44-1.28l.75-5.27c.01-.07.02-.14.02-.2 0-.62-.38-1.16-.91-1.38z\"/></svg>",
            "dot": "<svg class=\"tc-image-button\" width=\"10pt\" height=\"10pt\" viewBox=\"0 0 128 128\"> <g> <path d=\" M 45.84 6.76 C 60.79 2.05 77.60 3.35 91.49 10.69 C 105.76 17.88 116.73 31.15 121.37 46.42 C 125.81 60.68 124.63 76.64 118.03 90.05 C 112.26 102.19 102.23 112.24 90.09 118.01 C 73.74 126.11 53.60 126.00 37.34 117.73 C 25.47 111.93 15.66 102.02 9.99 90.09 C 2.11 74.13 1.98 54.56 9.69 38.52 C 16.59 23.47 30.10 11.80 45.84 6.76 Z\" /> </g> </svg>",
            "created": "20180107175152399",
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        "$:/plugins/BTC/tiddly-touch/lib/muuri.js": {
            "text": "/*!\n * Muuri v0.5.3\n * https://github.com/haltu/muuri\n * Copyright (c) 2015, Haltu Oy\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to deal\n * in the Software without restriction, including without limitation the rights\n * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n * copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n * SOFTWARE.\n */\n\n(function (global, factory) {\n\n  var namespace = 'Muuri';\n  var Hammer;\n  var ItemAnimate = require('$:/plugins/BTC/tiddly-touch/lib/web-animations.js');\n  var popmotion = require('$:/plugins/BTC/tiddly-touch/lib/popmotion.js');\n\n  if (typeof module === 'object' && module.exports) {\n    /* eslint-disable */\n    try { Hammer = require('$:/plugins/BTC/tiddly-touch/lib/hammer.js'); } catch (e) {}\n    /* eslint-enable */\n    module.exports = factory(namespace, Hammer);\n  }\n  else if (typeof define === 'function' && define.amd) {\n    define(['hammerjs'], function (Hammer) {\n      return factory(namespace, Hammer);\n    });\n  }\n  else {\n    global[namespace] = factory(namespace, global.Hammer);\n  }\n\n}(typeof window !== 'undefined' ? window : this, function (namespace, Hammer, undefined) {\n\n  'use strict';\n\n  // Get references to all the stuff we are using from the global scope.\n  var global = window;\n  var Object = global.Object;\n  var Array = global.Array;\n  var Math = global.Math;\n  var Error = global.Error;\n  var Element = global.Element;\n  var doc = global.document;\n  var docElem = doc.documentElement;\n  var body = doc.body;\n\n  // Types.\n  var typeFunction = 'function';\n  var typeString = 'string';\n  var typeNumber = 'number';\n\n  // Raf loop that can be used to organize DOM write and read operations\n  // optimally in the next animation frame.\n  var rafLoop = createRafLoop();\n\n  // Raf loop queue names.\n  var rafQueueLayout = 'layout';\n  var rafQueueVisibility = 'visibility';\n  var rafQueueMove = 'move';\n  var rafQueueScroll = 'scroll';\n\n  // Drag start predicate states.\n  var startPredicateInactive = 0;\n  var startPredicatePending = 1;\n  var startPredicateResolved = 2;\n  var startPredicateRejected = 3;\n\n  // Keep track of Grid instances.\n  var gridInstances = {};\n\n  // Keep track of Item instances.\n  var itemInstances = {};\n\n  // No operation function.\n  var noop = function () {};\n\n  // Unique id which is used for Grid instances and Item instances.\n  // Should be incremented every time when used.\n  var uuid = 0;\n\n  // Get the supported element.matches().\n  var elementMatches = getSupportedElementMatches();\n\n  // Get the supported transform style property.\n  var transform = getSupportedStyle('transform');\n\n  // Test if transformed elements leak fixed elements.\n  var transformLeaksFixed = body ? doesTransformLeakFixed() : null;\n\n  // Event names.\n  var evSynchronize = 'synchronize';\n  var evLayoutStart = 'layoutStart';\n  var evLayoutEnd = 'layoutEnd';\n  var evAdd = 'add';\n  var evRemove = 'remove';\n  var evShowStart = 'showStart';\n  var evShowEnd = 'showEnd';\n  var evHideStart = 'hideStart';\n  var evHideEnd = 'hideEnd';\n  var evFilter = 'filter';\n  var evSort = 'sort';\n  var evMove = 'move';\n  var evSend = 'send';\n  var evBeforeSend = 'beforeSend';\n  var evReceive = 'receive';\n  var evBeforeReceive = 'beforeReceive';\n  var evDragInit = 'dragInit';\n  var evDragStart = 'dragStart';\n  var evDragMove = 'dragMove';\n  var evDragScroll = 'dragScroll';\n  var evDragEnd = 'dragEnd';\n  var evDragReleaseStart = 'dragReleaseStart';\n  var evDragReleaseEnd = 'dragReleaseEnd';\n  var evDestroy = 'destroy';\n\n  /**\n   * Grid\n   * ****\n   */\n\n  /**\n   * Creates a new Grid instance.\n   *\n   * @public\n   * @class\n   * @param {(HTMLElement|String)} element\n   * @param {Object} [options]\n   * @param {(?HTMLElement[]|NodeList|String)} [options.items]\n   * @param {Number} [options.showDuration=300]\n   * @param {String} [options.showEasing=\"ease\"]\n   * @param {Object} [options.visibleStyles]\n   * @param {Number} [options.hideDuration=300]\n   * @param {String} [options.hideEasing=\"ease\"]\n   * @param {Object} [options.hiddenStyles]\n   * @param {(Function|Object)} [options.layout]\n   * @param {Boolean} [options.layout.fillGaps=false]\n   * @param {Boolean} [options.layout.horizontal=false]\n   * @param {Boolean} [options.layout.alignRight=false]\n   * @param {Boolean} [options.layout.alignBottom=false]\n   * @param {Boolean} [options.layout.rounding=true]\n   * @param {(Boolean|Number)} [options.layoutOnResize=100]\n   * @param {Boolean} [options.layoutOnInit=true]\n   * @param {Number} [options.layoutDuration=300]\n   * @param {String} [options.layoutEasing=\"ease\"]\n   * @param {?Object} [options.sortData=null]\n   * @param {Boolean} [options.dragEnabled=false]\n   * @param {?HtmlElement} [options.dragContainer=null]\n   * @param {?Function} [options.dragStartPredicate]\n   * @param {Number} [options.dragStartPredicate.distance=0]\n   * @param {Number} [options.dragStartPredicate.delay=0]\n   * @param {(Boolean|String)} [options.dragStartPredicate.handle=false]\n   * @param {?String} [options.dragAxis]\n   * @param {(Boolean|Function)} [options.dragSort=true]\n   * @param {Number} [options.dragSortInterval=100]\n   * @param {(Function|Object)} [options.dragSortPredicate]\n   * @param {Number} [options.dragSortPredicate.threshold=50]\n   * @param {String} [options.dragSortPredicate.action=\"move\"]\n   * @param {String} [options.dragSortPredicate.gaps=true]\n   * @param {Number} [options.dragReleaseDuration=300]\n   * @param {String} [options.dragReleaseEasing=\"ease\"]\n   * @param {Object} [options.dragHammerSettings={touchAction: \"none\"}]\n   * @param {String} [options.containerClass=\"muuri\"]\n   * @param {String} [options.itemClass=\"muuri-item\"]\n   * @param {String} [options.itemVisibleClass=\"muuri-item-visible\"]\n   * @param {String} [options.itemHiddenClass=\"muuri-item-hidden\"]\n   * @param {String} [options.itemPositioningClass=\"muuri-item-positioning\"]\n   * @param {String} [options.itemDraggingClass=\"muuri-item-dragging\"]\n   * @param {String} [options.itemReleasingClass=\"muuri-item-releasing\"]\n   */\n  function Grid(element, options) {\n\n    var inst = this;\n    var settings;\n    var items;\n    var layoutOnResize;\n    // Muuri can be loaded inside the head tag also, but in that case Muuri can\n    // not cache body element and run the initial DOM tests. So, if we detect\n    // that body element could not be fetched on init we do it here once and\n    // also run the DOM tests. If the Grid is instantiated before body is ready\n    // you are doing it wrong ;)\n    if (!body) {\n      body = document.body;\n      transformLeaksFixed = doesTransformLeakFixed();\n    }\n\n    // Allow passing element as selector string. Store element for instance.\n    element = inst._element = typeof element === typeString ? doc.querySelector(element) : element;\n\n    // Throw an error if the container element is not body element or does not\n    // exist within the body element.\n    if (!body.contains(element)) {\n      throw new Error('Container element must be an existing DOM element');\n    }\n\n    // Create instance settings by merging the options with default options.\n    settings = inst._settings = mergeSettings(Grid.defaultOptions, options);\n\n    // Sanitize dragSort setting.\n    if (typeof settings.dragSort !== typeFunction) {\n      settings.dragSort = !!settings.dragSort;\n    }\n\n    // Create instance id and store it to the grid instances collection.\n    gridInstances[inst._id = ++uuid] = inst;\n\n    // Destroyed flag.\n    inst._isDestroyed = false;\n\n    // Reference to the currently used Layout instance.\n    inst._layout = null;\n\n    // Create private Emitter instance.\n    inst._emitter = new Grid.Emitter();\n\n    // Setup grid's show/hide animation handler for items.\n    inst._itemShowHandler = getItemVisibilityHandler('show', settings);\n    inst._itemHideHandler = getItemVisibilityHandler('hide', settings);\n\n    // Add container element's class name.\n    addClass(element, settings.containerClass);\n\n    // Create initial items.\n    inst._items = [];\n    items = settings.items;\n    if (typeof items === typeString) {\n      nodeListToArray(inst._element.children).forEach(function (itemElement) {\n        if (items === '*' || elementMatches(itemElement, items)) {\n          inst._items.push(new Grid.Item(inst, itemElement));\n        }\n      });\n    }\n    else if (Array.isArray(items) || isNodeList(items)) {\n      inst._items = nodeListToArray(items).map(function (itemElement) {\n        return new Grid.Item(inst, itemElement);\n      });\n    }\n\n    // Sanitize layoutOnResize option and bind debounced resize handler if the\n    // layoutOnResize option a valid number.\n    layoutOnResize = settings.layoutOnResize;\n    layoutOnResize = layoutOnResize === true ? 0 : typeof layoutOnResize === typeNumber ? layoutOnResize : -1;\n    if (layoutOnResize >= 0) {\n      global.addEventListener('resize', inst._resizeHandler = debounce(function () {\n        inst.refreshItems().layout();\n      }, layoutOnResize));\n    }\n\n    // Layout on init if necessary.\n    if (settings.layoutOnInit) {\n      inst.layout(true);\n    }\n\n  }\n\n  /**\n   * Grid - Public properties\n   * ************************\n   */\n\n  /**\n   * @see Item\n   */\n  Grid.Item = Item;\n\n  /**\n   * @see ItemDrag\n   */\n  Grid.ItemDrag = ItemDrag;\n\n  /**\n   * @see ItemRelease\n   */\n  Grid.ItemRelease = ItemRelease;\n\n  /**\n   * @see ItemMigrate\n   */\n  Grid.ItemMigrate = ItemMigrate;\n\n  /**\n   * @see ItemAnimate\n   */\n  Grid.ItemAnimate = ItemAnimate;\n\n  /**\n   * @see Layout\n   */\n  Grid.Layout = Layout;\n\n  /**\n   * @see Emitter\n   */\n  Grid.Emitter = Emitter;\n\n  /**\n   * Default options for Grid instance.\n   *\n   * @public\n   * @memberof Grid\n   */\n  Grid.defaultOptions = {\n\n    // Item elements\n    items: '*',\n\n    // Default show animation\n    showDuration: 300,\n    showEasing: 'ease',\n\n    // Default hide animation\n    hideDuration: 300,\n    hideEasing: 'ease',\n\n    // Item's visible/hidden state styles\n    visibleStyles: {\n      opacity: '1',\n      transform: 'scale(1)'\n    },\n    hiddenStyles: {\n      opacity: '0',\n      transform: 'scale(0.5)'\n    },\n\n    // Layout\n    layout: {\n      fillGaps: false,\n      horizontal: false,\n      alignRight: false,\n      alignBottom: false,\n      rounding: true\n    },\n    layoutOnResize: 100,\n    layoutOnInit: true,\n    layoutDuration: 300,\n    layoutEasing: 'ease',\n\n    // Sorting\n    sortData: null,\n\n    // Drag & Drop\n    dragEnabled: false,\n    dragContainer: null,\n    dragStartPredicate: {\n      distance: 0,\n      delay: 0,\n      handle: false\n    },\n    dragAxis: null,\n    dragSort: true,\n    dragSortInterval: 100,\n    dragSortPredicate: {\n      threshold: 50,\n      action: 'move'\n    },\n    dragReleaseDuration: 300,\n    dragReleaseEasing: 'ease',\n    dragHammerSettings: {\n      touchAction: 'none'\n    },\n\n    // Classnames\n    containerClass: 'muuri',\n    itemClass: 'muuri-item',\n    itemVisibleClass: 'muuri-item-shown',\n    itemHiddenClass: 'muuri-item-hidden',\n    itemPositioningClass: 'muuri-item-positioning',\n    itemDraggingClass: 'muuri-item-dragging',\n    itemReleasingClass: 'muuri-item-releasing',\n    targetsAreTiddlers: false\n\n  };\n\n  /**\n   * Grid - Private properties\n   * *************************\n   */\n\n  Grid._maxRafBatchSize = 100;\n\n  /**\n   * Grid - Public prototype methods\n   * *******************************\n   */\n\n  /**\n   * Bind an event listener.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @param {String} event\n   * @param {Function} listener\n   * @returns {Grid}\n   */\n  Grid.prototype.on = function (event, listener) {\n\n    var inst = this;\n\n    if (!inst._isDestroyed) {\n      inst._emitter.on(event, listener);\n    }\n\n    return inst;\n\n  };\n\n  /**\n   * Bind an event listener that is triggered only once.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @param {String} event\n   * @param {Function} listener\n   * @returns {Grid}\n   */\n  Grid.prototype.once = function (event, listener) {\n\n    var inst = this;\n\n    if (!inst._isDestroyed) {\n      inst._emitter.once(event, listener);\n    }\n\n    return inst;\n\n  };\n\n  /**\n   * Unbind an event listener.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @param {String} event\n   * @param {Function} listener\n   * @returns {Grid}\n   */\n  Grid.prototype.off = function (event, listener) {\n\n    var inst = this;\n\n    if (!inst._isDestroyed) {\n      inst._emitter.off(event, listener);\n    }\n\n    return inst;\n\n  };\n\n  /**\n   * Get the container element.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @returns {HTMLElement}\n   */\n  Grid.prototype.getElement = function () {\n\n    return this._element;\n\n  };\n\n  /**\n   * Get all items. Optionally you can provide specific targets (elements and\n   * indices) and filter the results based on the state of the items. Note that\n   * the returned array is not the same object used by the instance so modifying\n   * it will not affect instance's items. All items that are not found are\n   * omitted from the returned array.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @param {GridMultiItemQuery} [targets]\n   * @param {GridItemState} [state]\n   * @returns {Item[]}\n   */\n  Grid.prototype.getItems = function (targets, state) {\n\n    var inst = this;\n\n    // Return an empty array immediately if the instance is destroyed.\n    if (inst._isDestroyed) {\n      return [];\n    }\n\n    var hasTargets = targets === 0 || (targets && typeof targets !== typeString);\n    var targetItems = !hasTargets ? null : isNodeList(targets) ? nodeListToArray(targets) : [].concat(targets);\n    var targetState = !hasTargets ? targets : state;\n    var ret = [];\n    var item;\n    var i;\n\n    // Sanitize target state.\n    targetState = typeof targetState === typeString ? targetState : null;\n\n    // If target state or target items are defined return filtered results.\n    if (targetState || targetItems) {\n      targetItems = targetItems || inst._items;\n      for (i = 0; i < targetItems.length; i++) {\n        item = hasTargets ? inst._getItem(targetItems[i]) : targetItems[i];\n        if (item && (!targetState || isItemInState(item, targetState))) {\n          ret.push(item);\n        }\n      }\n      return ret;\n    }\n\n    // Otherwise return all items.\n    else {\n      return ret.concat(inst._items);\n    }\n\n  };\n\n  /**\n   * Update the cached dimensions of the instance's items.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @param {(GridMultiItemQuery|GridItemState)} [items]\n   * @returns {Grid}\n   */\n  Grid.prototype.refreshItems = function (items) {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return inst;\n    }\n\n    var targetItems = inst.getItems(items || 'active');\n    var i;\n\n    for (i = 0; i < targetItems.length; i++) {\n      targetItems[i]._refreshDimensions();\n    }\n\n    return inst;\n\n  };\n\n  /**\n   * Update the sort data of the instance's items.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @param {(GridMultiItemQuery|GridItemState)} [items]\n   * @returns {Grid}\n   */\n  Grid.prototype.refreshSortData = function (items) {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return inst;\n    }\n\n    var targetItems = inst.getItems(items);\n    var i;\n\n    for (i = 0; i < targetItems.length; i++) {\n      targetItems[i]._refreshSortData();\n    }\n\n    return inst;\n\n  };\n\n  /**\n   * Synchronize the item elements to match the order of the items in the DOM.\n   * This comes handy if you need to keep the DOM structure matched with the\n   * order of the items. Note that if an item's element is not currently a child\n   * of the container element (if it is dragged for example) it is ignored and\n   * left untouched.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @returns {Grid}\n   */\n  Grid.prototype.synchronize = function () {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return inst;\n    }\n\n    var container = inst._element;\n    var items = inst._items;\n    var fragment;\n    var element;\n    var i;\n\n    // Append all elements in order to the container element.\n    if (items.length) {\n      for (i = 0; i < items.length; i++) {\n        element = items[i]._element;\n        if (element.parentNode === container) {\n          fragment = fragment || doc.createDocumentFragment();\n          fragment.appendChild(element);\n        }\n      }\n      if (fragment) {\n        container.appendChild(fragment);\n      }\n    }\n\n    // Emit synchronize event.\n    inst._emit(evSynchronize);\n\n    return inst;\n\n  };\n\n  /**\n   * Calculate and apply item positions.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @param {Boolean} [instant=false]\n   * @param {LayoutCallback} [onFinish]\n   * @returns {Grid}\n   */\n  Grid.prototype.layout = function (instant, onFinish) {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return inst;\n    }\n\n    var callback = typeof instant === typeFunction ? instant : onFinish;\n    var isInstant = instant === true;\n    var items = inst.getItems('active');\n    var layout = inst._layout = new Grid.Layout(inst, items);\n    var counter = items.length;\n    var isBorderBox;\n    var containerStyles;\n    var item;\n    var position;\n    var i;\n\n    // The finish function, which will be used for checking if all the items\n    // have laid out yet. After all items have finished their animations call\n    // callback and emit layoutEnd event. Only emit layoutEnd event if there\n    // hasn't been a new layout call during this layout.\n    function tryFinish() {\n      if (--counter <= 0) {\n        if (typeof callback === typeFunction) {\n          callback(inst._layout !== layout, items.concat());\n        }\n        if (inst._layout === layout) {\n          inst._emit(evLayoutEnd, items.concat());\n        }\n      }\n    }\n\n    // If grid's width or height was modified, we need to update it's cached\n    // dimensions. Also keep in mind that grid's cached width/height should\n    // always equal to what elem.getBoundingClientRect() would return, so\n    // therefore we need to add the grid element's borders to the dimensions if\n    // it's box-sizing is border-box.\n    if (layout.setWidth || layout.setHeight) {\n\n      containerStyles = {};\n      isBorderBox = getStyle(inst._element, 'box-sizing') === 'border-box';\n\n      if (layout.setHeight) {\n        if (typeof layout.height === typeNumber) {\n          containerStyles.height = (isBorderBox ? layout.height + inst._border.top + inst._border.bottom : layout.height) + 'px';\n        }\n        else {\n          containerStyles.height = layout.height;\n        }\n      }\n\n      if (layout.setWidth) {\n        if (typeof layout.width === typeNumber) {\n          containerStyles.width = (isBorderBox ? layout.width + inst._border.left + inst._border.right : layout.width) + 'px';\n        }\n        else {\n          containerStyles.width = layout.width;\n        }\n      }\n\n      setStyles(inst._element, containerStyles);\n\n    }\n\n    // Emit layoutStart event. Note that this is intentionally emitted after the\n    // container element's dimensions are set, because otherwise there would be\n    // no hook for reacting to container dimension changes.\n    inst._emit(evLayoutStart, items.concat());\n\n    // If there are no items let's finish quickly.\n    if (!items.length) {\n      tryFinish();\n      return inst;\n    }\n\n    // If there are items let's position them.\n    for (i = 0; i < items.length; i++) {\n\n      item = items[i];\n      position = layout.slots[item._id];\n\n      // Update item's position.\n      item._left = position.left;\n      item._top = position.top;\n\n      // Layout non-dragged items.\n      if (item.isDragging()) {\n        tryFinish(true, item);\n      }\n      else {\n        item._layout(isInstant, tryFinish);\n      }\n\n    }\n\n    return inst;\n\n  };\n\n  /**\n   * Add new items by providing the elements you wish to add to the instance and\n   * optionally provide the index where you want the items to be inserted into.\n   * All elements that are not already children of the container element will be\n   * automatically appended to the container element. If an element has it's CSS\n   * display property set to \"none\" it will be marked as inactive during the\n   * initiation process. As long as the item is inactive it will not be part of\n   * the layout, but it will retain it's index. You can activate items at any\n   * point with grid.show() method. This method will automatically call\n   * grid.layout() if one or more of the added elements are visible. If only\n   * hidden items are added no layout will be called. All the new visible items\n   * are positioned without animation during their first layout.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @param {(HTMLElement|HTMLElement[])} elements\n   * @param {Object} [options]\n   * @param {Number} [options.index=-1]\n   * @param {(Boolean|LayoutCallback|String)} [options.layout=true]\n   * @returns {Item[]}\n   */\n  Grid.prototype.add = function (elements, options) {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return [];\n    }\n\n    var targetElements = isNodeList(elements) ? nodeListToArray(elements) : [].concat(elements);\n    var newItems = [];\n\n    // Return early if there are no items.\n    if (!targetElements.length) {\n      return newItems;\n    }\n\n    var opts = options || {};\n    var layout = opts.layout ? opts.layout : opts.layout === undefined;\n    var items = inst._items;\n    var needsLayout = false;\n    var elementIndex;\n    var item;\n    var i;\n\n    // Filter out all elements that exist already in current instance.\n    // TODO: This filtering can be made a lot faster by storing item elements\n    // in a Map or WeakMap. Other option would be to transfer the reponsibility\n    // completely to the user and get rid of this sanity check.\n    for (i = 0; i < items.length; i++) {\n      elementIndex = targetElements.indexOf(items[i]._element);\n      if (elementIndex > -1) {\n        targetElements.splice(elementIndex, 1);\n\n        if (!targetElements.length) {\n          return newItems;\n        }\n      }\n    }\n\n    var lastElement;\n\n    // Create new items.\n    for (i = 0; i < targetElements.length; i++) {\n\n      item = new Grid.Item(inst, targetElements[i]);\n      newItems.push(item);\n\n\n      // If the item to be added is active, we need to do a layout. Also, we\n      // need to mark the item with the skipNextLayoutAnimation flag to make it\n      // position instantly (without animation) during the next layout. Without\n      // the hack the item would animate to it's new position from the northwest\n      // corner of the grid, which feels a bit buggy (imho).\n      if (item._isActive) {\n        needsLayout = true;\n        item._skipNextLayoutAnimation = true;\n      }\n\n      if ( i === (targetElements.length -1) ) {\n        lastElement = targetElements[i];\n      }\n\n    }\n\n    // Add the new items to the items collection to correct index.\n    insertItemsToArray(items, newItems, opts.index);\n\n    // Emit add event.\n    inst._emit(evAdd, newItems.concat());\n\n    // If layout is needed.\n    if (needsLayout && layout) {\n      inst.layout(layout === 'instant', typeof layout === typeFunction ? layout : undefined);\n    }\n\n    //lastElement.scrollIntoView(); //HACK\n\n    // Return new items.\n    return newItems;\n\n  };\n\n  /**\n   * Remove items from the instance.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @param {(GridMultiItemQuery|GridItemState)} items\n   * @param {Object} [options]\n   * @param {Boolean} [options.removeElements=false]\n   * @param {(Boolean|LayoutCallback|String)} [options.layout=true]\n   * @returns {Item[]}\n   */\n  Grid.prototype.remove = function (items, options) {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return inst;\n    }\n\n    var opts = options || {};\n    var layout = opts.layout ? opts.layout : opts.layout === undefined;\n    var needsLayout = false;\n    var targetItems = inst.getItems(items);\n    var item;\n    var i;\n\n    // Remove the individual items.\n    for (i = 0; i < targetItems.length; i++) {\n      item = targetItems[i];\n      if (item._isActive) {\n        needsLayout = true;\n      }\n      item._destroy(opts.removeElements);\n    }\n\n    // Emit remove event.\n    inst._emit(evRemove, targetItems.concat());\n\n    // If layout is needed.\n    if (needsLayout && layout) {\n      inst.layout(layout === 'instant', typeof layout === typeFunction ? layout : undefined);\n    }\n\n    return targetItems;\n\n  };\n\n  /**\n   * Show instance items.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @param {(GridMultiItemQuery|GridItemState)} items\n   * @param {Object} [options]\n   * @param {Boolean} [options.instant=false]\n   * @param {ShowCallback} [options.onFinish]\n   * @param {(Boolean|LayoutCallback|String)} [options.layout=true]\n   * @returns {Grid}\n   */\n  Grid.prototype.show = function (items, options) {\n\n    return this._isDestroyed ? this : gridShowHideHandler(this, 'show', items, options);\n\n  };\n\n  /**\n   * Hide instance items.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @param {(GridMultiItemQuery|GridItemState)} items\n   * @param {Object} [options]\n   * @param {Boolean} [options.instant=false]\n   * @param {HideCallback} [options.onFinish]\n   * @param {(Boolean|LayoutCallback|String)} [options.layout=true]\n   * @returns {Grid}\n   */\n  Grid.prototype.hide = function (items, options) {\n\n    return this._isDestroyed ? this : gridShowHideHandler(this, 'hide', items, options);\n\n  };\n\n  /**\n   * Filter items. Expects at least one argument, a predicate, which should be\n   * either a function or a string. The predicate callback is executed for every\n   * item in the instance. If the return value of the predicate is truthy the\n   * item in question will be shown and otherwise hidden. The predicate callback\n   * receives the item instance as it's argument. If the predicate is a string\n   * it is considered to be a selector and it is checked against every item\n   * element in the instance with the native element.matches() method. All the\n   * matching items will be shown and others hidden.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @param {(Function|String)} predicate\n   * @param {Object} [options]\n   * @param {Boolean} [options.instant=false]\n   * @param {FilterCallback} [options.onFinish]\n   * @param {(Boolean|LayoutCallback|String)} [options.layout=true]\n   * @returns {Grid}\n   */\n  Grid.prototype.filter = function (predicate, options) {\n\n    var inst = this;\n\n    // Return immediately if there are no items or if the instance id destroyed.\n    if (inst._isDestroyed || !inst._items.length) {\n      return inst;\n    }\n\n    var items = inst._items;\n    var predicateType = typeof predicate;\n    var isPredicateString = predicateType === typeString;\n    var isPredicateFn = predicateType === typeFunction;\n    var opts = options || {};\n    var isInstant = opts.instant === true;\n    var layout = opts.layout ? opts.layout : opts.layout === undefined;\n    var onFinish = typeof opts.onFinish === typeFunction ? opts.onFinish : null;\n    var itemsToShow = [];\n    var itemsToHide = [];\n    var tryFinishCounter = -1;\n    var tryFinish = !onFinish ? noop : function () {\n      ++tryFinishCounter && onFinish(itemsToShow.concat(), itemsToHide.concat());\n    };\n    var item;\n    var i;\n\n    // Check which items need to be shown and which hidden.\n    if (isPredicateFn || isPredicateString) {\n      for (i = 0; i < items.length; i++) {\n        item = items[i];\n        if (isPredicateFn ? predicate(item) : elementMatches(item._element, predicate)) {\n          itemsToShow.push(item);\n        }\n        else {\n          itemsToHide.push(item);\n        }\n      }\n    }\n\n    // Show items that need to be shown.\n    if (itemsToShow.length) {\n      inst.show(itemsToShow, {\n        instant: isInstant,\n        onFinish: tryFinish,\n        layout: false\n      });\n    }\n    else {\n      tryFinish();\n    }\n\n    // Hide items that need to be hidden.\n    if (itemsToHide.length) {\n      inst.hide(itemsToHide, {\n        instant: isInstant,\n        onFinish: tryFinish,\n        layout: false\n      });\n    }\n    else {\n      tryFinish();\n    }\n\n    // If there are any items to filter.\n    if (itemsToShow.length || itemsToHide.length) {\n\n      // Emit filter event.\n      inst._emit(evFilter, itemsToShow.concat(), itemsToHide.concat());\n\n      // If layout is needed.\n      if (layout) {\n        inst.layout(layout === 'instant', typeof layout === typeFunction ? layout : undefined);\n      }\n\n    }\n\n    return inst;\n\n  };\n\n  /**\n   * Sort items. There are three ways to sort the items. The first is simply by\n   * providing a function as the comparer which works identically to native\n   * array sort. Alternatively you can sort by the sort data you have provided\n   * in the instance's options. Just provide the sort data key(s) as a string\n   * (separated by space) and the items will be sorted based on the provided\n   * sort data keys. Lastly you have the opportunity to provide a presorted\n   * array of items which will be used to sync the internal items array in the\n   * same order.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @param {(Function|Item[]|String|String[])} comparer\n   * @param {Object} [options]\n   * @param {Boolean} [options.descending=false]\n   * @param {(Boolean|LayoutCallback|String)} [options.layout=true]\n   * @returns {Grid}\n   */\n  Grid.prototype.sort = function (comparer, options) {\n\n    var inst = this;\n\n    // Let's not sort if it has no effect.\n    if (inst._isDestroyed || inst._items.length < 2) {\n      return inst;\n    }\n\n    var items = inst._items;\n    var opts = options || {};\n    var isDescending = !!opts.descending;\n    var layout = opts.layout ? opts.layout : opts.layout === undefined;\n    var origItems = items.concat();\n    var indexMap;\n\n    // If function is provided do a native array sort.\n    if (typeof comparer === typeFunction) {\n      items.sort(function (a, b) {\n        var result = comparer(a, b);\n        return (isDescending && result !== 0 ? -result : result) || compareItemIndices(a, b, isDescending, indexMap || (indexMap = getItemIndexMap(origItems)));\n      });\n    }\n\n    // Otherwise if we got a string, let's sort by the sort data as provided in\n    // the instance's options.\n    else if (typeof comparer === typeString) {\n      comparer = comparer.trim().split(' ').map(function (val) {\n        return val.split(':');\n      });\n      items.sort(function (a, b) {\n        return compareItems(a, b, isDescending, comparer) || compareItemIndices(a, b, isDescending, indexMap || (indexMap = getItemIndexMap(origItems)));\n      });\n    }\n\n    // Otherwise if we got an array, let's assume it's a presorted array of the\n    // items and order the items based on it.\n    else if (Array.isArray(comparer)) {\n      sortItemsByReference(items, comparer);\n      if (isDescending) {\n        items.reverse();\n      }\n    }\n\n    // Otherwise, let's go home.\n    else {\n      return inst;\n    }\n\n    // Emit sort event.\n    inst._emit(evSort, items.concat(), origItems);\n\n    // If layout is needed.\n    if (layout) {\n      inst.layout(layout === 'instant', typeof layout === typeFunction ? layout : undefined);\n    }\n\n    return inst;\n\n  };\n\n  /**\n   * Move item to another index or in place of another item.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @param {GridSingleItemQuery} item\n   * @param {GridSingleItemQuery} position\n   * @param {Object} [options]\n   * @param {String} [options.action=\"move\"]\n   *   - Accepts either \"move\" or \"swap\".\n   *   - \"move\" moves the item in place of the other item.\n   *   - \"swap\" swaps the position of the items.\n   * @param {(Boolean|LayoutCallback|String)} [options.layout=true]\n   * @returns {Grid}\n   */\n  Grid.prototype.move = function (item, position, options) {\n\n    var inst = this;\n\n    // Return immediately, if moving an item is not possible.\n    if (inst._isDestroyed || inst._items.length < 2) {\n      return inst;\n    }\n\n    var items = inst._items;\n    var opts = options || {};\n    var layout = opts.layout ? opts.layout : opts.layout === undefined;\n    var isSwap = opts.action === 'swap';\n    var action = isSwap ? 'swap' : 'move';\n    var fromItem = inst._getItem(item);\n    var toItem = inst._getItem(position);\n    var fromIndex;\n    var toIndex;\n\n    // Make sure the items exist and are not the same.\n    if (fromItem && toItem && (fromItem !== toItem)) {\n\n      // Get the indices of the items.\n      fromIndex = items.indexOf(fromItem);\n      toIndex = items.indexOf(toItem);\n\n      // Do the move/swap.\n      (isSwap ? arraySwap : arrayMove)(items, fromIndex, toIndex);\n\n      // Emit move event.\n      inst._emit(evMove, {\n        item: fromItem,\n        fromIndex: fromIndex,\n        toIndex: toIndex,\n        action: action\n      });\n\n      // If layout is needed.\n      if (layout) {\n        inst.layout(layout === 'instant', typeof layout === typeFunction ? layout : undefined);\n      }\n\n    }\n\n    return inst;\n\n  };\n\n  /**\n   * Send item to another Grid instance.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @param {GridSingleItemQuery} item\n   * @param {Grid} grid\n   * @param {GridSingleItemQuery} position\n   * @param {Object} [options]\n   * @param {HTMLElement} [options.appendTo=document.body]\n   * @param {(Boolean|LayoutCallback|String)} [options.layoutSender=true]\n   * @param {(Boolean|LayoutCallback|String)} [options.layoutReceiver=true]\n   * @returns {Grid}\n   */\n  Grid.prototype.send = function (item, grid, position, options) {\n\n    var currentGrid = this;\n\n    // Return immediately if either grid is destroyed or if the grids are the\n    // same, or if target item was not found.\n    if (currentGrid._isDestroyed || grid._isDestroyed || currentGrid === grid || !(item = currentGrid._getItem(item))) {\n      return currentGrid;\n    }\n\n    var targetGrid = grid;\n    var opts = options || {};\n    var container = opts.appendTo || body;\n    var layoutSender = opts.layoutSender ? opts.layoutSender : opts.layoutSender === undefined;\n    var layoutReceiver = opts.layoutReceiver ? opts.layoutReceiver : opts.layoutReceiver === undefined;\n\n    // Start the migration process.\n    item._migrate.start(targetGrid, position, container);\n\n    // If migration was started succesfully and the item is active, let's layout\n    // the grids.\n    if (item._migrate.isActive && item.isActive()) {\n      if (layoutSender) {\n        currentGrid.layout(layoutSender === 'instant', typeof layoutSender === typeFunction ? layoutSender : undefined);\n      }\n      if (layoutReceiver) {\n        targetGrid.layout(layoutReceiver === 'instant', typeof layoutReceiver === typeFunction ? layoutReceiver : undefined);\n      }\n    }\n\n    return currentGrid;\n\n  };\n\n  /**\n   * Destroy the instance.\n   *\n   * @public\n   * @memberof Grid.prototype\n   * @param {Boolean} [removeElements=false]\n   * @returns {Grid}\n   */\n  Grid.prototype.destroy = function (removeElements) {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return inst;\n    }\n\n    var container = inst._element;\n    var items = inst._items.concat();\n    var i;\n\n    // Unbind window resize event listener.\n    if (inst._resizeHandler) {\n      global.removeEventListener('resize', inst._resizeHandler);\n    }\n\n    // Destroy items.\n    for (i = 0; i < items.length; i++) {\n      items[i]._destroy(removeElements);\n    }\n\n    // Restore container.\n    removeClass(container, inst._settings.containerClass);\n    setStyles(container, {height: ''});\n\n    // Emit destroy event and unbind all events.\n    inst._emit(evDestroy);\n    inst._emitter.destroy();\n\n    // Remove reference from the grid instances collection.\n    gridInstances[inst._id] = undefined;\n\n    // Flag instance as destroyed.\n    inst._isDestroyed = true;\n\n    return inst;\n\n  };\n\n  /**\n   * Grid - Protected prototype methods\n   * **********************************\n   */\n\n  /**\n   * Get instance's item by element or by index. Target can also be an Item\n   * instance in which case the function returns the item if it exists within\n   * related Grid instance. If nothing is found with the provided target, null\n   * is returned.\n   *\n   * @protected\n   * @memberof Grid.prototype\n   * @param {GridSingleItemQuery} [target=0]\n   * @returns {?Item}\n   */\n  Grid.prototype._getItem = function (target) {\n\n    var inst = this;\n    var items = inst._items;\n    var i;\n\n    // If no target is specified or the instance is destroyed, return the first\n    // item or null.\n    if (inst._isDestroyed || !target) {\n      return items[0] || null;\n    }\n\n    // If target is number return the item in that index. If the number is lower\n    // than zero look for the item starting from the end of the items array. For\n    // example -1 for the last item, -2 for the second last item, etc.\n    else if (typeof target === typeNumber) {\n      return items[target > -1 ? target : items.length + target] || null;\n    }\n\n    // If the target is an instance of Item return it if it is attached to this\n    // Grid instance, otherwise return null.\n    else if (target instanceof Item) {\n      return target._gridId === inst._id ? target : null;\n    }\n\n    // In other cases let's assume that the target is an element, so let's try\n    // to find an item that matches the element and return it. If item is not\n    // found return null.\n    else {\n      // TODO: This could be made a lot faster by using WeakMap or Map.\n      for (i = 0; i < items.length; i++) {\n        if (items[i]._element === target) {\n          return items[i];\n        }\n      }\n      return null;\n    }\n\n  };\n\n  /**\n   * Bind an event listener.\n   *\n   * @protected\n   * @memberof Grid.prototype\n   * @param {String} event\n   * @param {*} [arg1]\n   * @param {*} [arg2]\n   * @param {*} [arg3]\n   * @returns {Grid}\n   */\n  Grid.prototype._emit = function () {\n\n    var inst = this;\n\n    if (!inst._isDestroyed) {\n      inst._emitter.emit.apply(inst._emitter, arguments);\n    }\n\n    return inst;\n\n  };\n\n  /**\n   * Refresh container's internal dimensions.\n   *\n   * @private\n   * @memberof Grid.prototype\n   * @returns {Grid}\n   */\n  Grid.prototype._refreshDimensions = function () {\n\n    var inst = this;\n    var element = inst._element;\n\n    // refreshTiddlerClasses(element);\n\n    var rect = element.getBoundingClientRect();\n    var sides = ['left', 'right', 'top', 'bottom'];\n    var i;\n\n    inst._width = rect.width;\n    inst._height = rect.height;\n    inst._left = rect.left;\n    inst._top = rect.top;\n    inst._border = {};\n\n    for (i = 0; i < sides.length; i++) {\n      inst._border[sides[i]] = getStyleAsFloat(element, 'border-' + sides[i] + '-width');\n    }\n\n    return inst;\n\n  };\n\n  /**\n   * Item\n   * ****\n   */\n\n  /**\n   * Creates a new Item instance for a Grid instance.\n   *\n   * @public\n   * @class\n   * @param {Grid} grid\n   * @param {HTMLElement} element\n   */\n  function Item(grid, element) {\n\n    var inst = this;\n    var settings = grid._settings;\n    var isHidden;\n\n    // Create instance id and add item to the itemInstances collection.\n    inst._id = ++uuid;\n    itemInstances[inst._id] = inst;\n\n    // Destroyed flag.\n    inst._isDestroyed = false;\n\n    // If the provided item element is not a direct child of the grid container\n    // element, append it to the grid container.\n    if (element.parentNode !== grid._element) {\n      grid._element.appendChild(element);\n    }\n\n    // Set item class.\n    addClass(element, settings.itemClass);\n\n    // Check if the element is hidden.\n    isHidden = getStyle(element, 'display') === 'none';\n\n    // Set visible/hidden class.\n    addClass(element, isHidden ? settings.itemHiddenClass : settings.itemVisibleClass);\n\n    // Refrence to connected Grid instance's id.\n    inst._gridId = grid._id;\n\n    // The elements.\n    inst._element = element;\n    inst._child = element.children[0];\n\n    // Initiate item's animation controllers.\n    inst._animate = new Grid.ItemAnimate(inst, element);\n    inst._animateChild = new Grid.ItemAnimate(inst, inst._child);\n\n    // Set up active state (defines if the item is considered part of the layout\n    // or not).\n    inst._isActive = isHidden ? false : true;\n\n    // Set up positioning state (defines if the item is currently animating\n    // it's position).\n    inst._isPositioning = false;\n\n    // Set up visibility states.\n    inst._isHidden = isHidden;\n    inst._isHiding = false;\n    inst._isShowing = false;\n\n    // Visibility animation callback queue. Whenever a callback is provided for\n    // show/hide methods and animation is enabled the callback is stored\n    // temporarily to this array. The callbacks are called with the first\n    // argument as false if the animation succeeded without interruptions and\n    // with the first argument as true if the animation was interrupted.\n    inst._visibilityQueue = [];\n\n    // Layout animation callback queue. Whenever a callback is provided for\n    // layout method and animation is enabled the callback is stored temporarily\n    // to this array. The callbacks are called with the first argument as false\n    // if the animation succeeded without interruptions and with the first\n    // argument as true if the animation was interrupted.\n    inst._layoutQueue = [];\n\n    // Set up initial positions.\n    inst._left = 0;\n    inst._top = 0;\n\n    // Set element's initial styles.\n    setStyles(element, {\n      left: '0',\n      top: '0',\n      transform: getTranslateString(0, 0),\n      display: isHidden ? 'none' : 'block'\n    });\n\n    // Set up the initial dimensions and sort data.\n    inst._refreshDimensions()._refreshSortData();\n\n    // Set initial styles for the child element.\n    if (isHidden) {\n      grid._itemHideHandler.start(inst, true);\n    }\n    else {\n      grid._itemShowHandler.start(inst, true);\n    }\n\n    // Set up migration handler data.\n    inst._migrate = new Grid.ItemMigrate(inst);\n\n    // Set up release handler\n    inst._release = new Grid.ItemRelease(inst);\n\n    // Set up drag handler.\n    inst._drag = settings.dragEnabled ? new Grid.ItemDrag(inst) : null;\n\n    //refreshTiddlerClasses(element);\n\n  }\n\n  /**\n   * Item - Public prototype methods\n   * *******************************\n   */\n\n  /**\n   * Get the instance grid reference.\n   *\n   * @public\n   * @memberof Item.prototype\n   * @returns {Grid}\n   */\n  Item.prototype.getGrid = function () {\n\n    return gridInstances[this._gridId];\n\n  };\n\n  /**\n   * Get the instance element.\n   *\n   * @public\n   * @memberof Item.prototype\n   * @returns {HTMLElement}\n   */\n  Item.prototype.getElement = function () {\n\n    return this._element;\n\n  };\n\n  /**\n   * Get instance element's cached width.\n   *\n   * @public\n   * @memberof Item.prototype\n   * @returns {Number}\n   */\n  Item.prototype.getWidth = function () {\n\n    return this._width;\n\n  };\n\n  /**\n   * Get instance element's cached height.\n   *\n   * @public\n   * @memberof Item.prototype\n   * @returns {Number}\n   */\n  Item.prototype.getHeight = function () {\n\n    return this._height;\n\n  };\n\n  /**\n   * Get instance element's cached margins.\n   *\n   * @public\n   * @memberof Item.prototype\n   * @returns {Object}\n   *   - The returned object contains left, right, top and bottom properties\n   *     which indicate the item element's cached margins.\n   */\n  Item.prototype.getMargin = function () {\n\n    return {\n      left: this._margin.left,\n      right: this._margin.right,\n      top: this._margin.top,\n      bottom: this._margin.bottom\n    };\n\n  };\n\n  /**\n   * Get instance element's cached position.\n   *\n   * @public\n   * @memberof Item.prototype\n   * @returns {Object}\n   *   - The returned object contains left and top properties which indicate the\n   *     item element's cached position in the grid.\n   */\n  Item.prototype.getPosition = function () {\n\n    return {\n      left: this._left,\n      top: this._top\n    };\n\n  };\n\n  /**\n   * Is the item active?\n   *\n   * @public\n   * @memberof Item.prototype\n   * @returns {Boolean}\n   */\n  Item.prototype.isActive = function () {\n\n    return this._isActive;\n\n  };\n\n  /**\n   * Is the item visible?\n   *\n   * @public\n   * @memberof Item.prototype\n   * @returns {Boolean}\n   */\n  Item.prototype.isVisible = function () {\n\n    return !this._isHidden;\n\n  };\n\n  /**\n   * Is the item being animated to visible?\n   *\n   * @public\n   * @memberof Item.prototype\n   * @returns {Boolean}\n   */\n  Item.prototype.isShowing = function () {\n\n    return this._isShowing;\n\n  };\n\n  /**\n   * Is the item being animated to hidden?\n   *\n   * @public\n   * @memberof Item.prototype\n   * @returns {Boolean}\n   */\n  Item.prototype.isHiding = function () {\n\n    return this._isHiding;\n\n  };\n\n  /**\n   * Is the item positioning?\n   *\n   * @public\n   * @memberof Item.prototype\n   * @returns {Boolean}\n   */\n  Item.prototype.isPositioning = function () {\n\n    return this._isPositioning;\n\n  };\n\n  /**\n   * Is the item being dragged?\n   *\n   * @public\n   * @memberof Item.prototype\n   * @returns {Boolean}\n   */\n  Item.prototype.isDragging = function () {\n\n    return !!this._drag && this._drag._data.isActive;\n\n  };\n\n  /**\n   * Is the item being released?\n   *\n   * @public\n   * @memberof Item.prototype\n   * @returns {Boolean}\n   */\n  Item.prototype.isReleasing = function () {\n\n    return this._release.isActive;\n\n  };\n\n  /**\n   * Is the item destroyed?\n   *\n   * @public\n   * @memberof Item.prototype\n   * @returns {Boolean}\n   */\n  Item.prototype.isDestroyed = function () {\n\n    return this._isDestroyed;\n\n  };\n\n  function refreshTiddlerClasses(element) {\n    var viewPortHeightPX = Math.max(document.documentElement.clientHeight, window.innerHeight || 0);\n    var viewPortHeight = parseInt(viewPortHeightPX, 10);\n    var viewPortWidthPX = Math.max(document.documentElement.clientWidth, window.innerWidth || 0);\n    var viewPortWidth = parseInt(viewPortWidthPX, 10);\n    var viewPortProp = (viewPortWidth / viewPortHeight)\n\nfunction hasClass(element, tiddlerclass) {\n    return (' ' + element.className + ' ').indexOf(' ' + tiddlerclass + ' ') > -1;\n}\n\n\n    var itemHeight = getStyleAsFloat(element, \"height\"),//parseInt(document.getComputedStyle(element,null).getPropertyValue(\"height\"), 10),\n        itemWidth = getStyleAsFloat(element, \"width\"),// parseInt(document.getComputedStyle(element,null).getPropertyValue(\"width\"), 10),\n        widthHeightProp = (itemWidth / itemHeight),\n        tiddlerClasses = [\"span-2\", \"span-3\", \"span-4\", \"span-6\", \"span-9\", \"span-12\"],\n        tiddlerClassesHigh = [\"span-3\", \"span-4\", \"span-6\", \"span-6\", \"span-9\", \"span-12\"];\nif (viewPortProp > 1) {\n    if (widthHeightProp < 0.5 && itemHeight >= (viewPortHeight * 2) && !hasClass(element,\"span-9\")) {\n      addClass(element,\"span-9\");\n      removeClass(element,\"span-2\");\n      removeClass(element, \"span-3\");\n      removeClass(element, \"span-4\");\n      removeClass(element, \"span-6\");\n      removeClass(element, \"span-12\");\n    } else if (widthHeightProp < 0.5 && itemHeight > viewPortHeight && itemHeight <= (viewPortHeight * 2) && !hasClass(element,\"span-6\")) {\n      addClass(element,\"span-6\");\n      removeClass(element,\"span-2\");\n      removeClass(element, \"span-3\");\n      removeClass(element, \"span-4\");\n      removeClass(element, \"span-9\");\n      removeClass(element, \"span-12\");\n    } else if (widthHeightProp < 0.5 && itemHeight > ((viewPortHeight / 3) * 2) && itemHeight < viewPortHeight && !hasClass(element,\"span-4\")) {\n      addClass(element,\"span-4\");\n      removeClass(element,\"span-2\");\n      removeClass(element, \"span-3\");\n      removeClass(element, \"span-9\");\n      removeClass(element, \"span-6\");\n      removeClass(element, \"span-12\");\n    } else if (widthHeightProp < 0.5 && itemHeight >= (viewPortHeight / 3) && itemHeight < ((viewPortHeight / 3) * 2) && !hasClass(element,\"span-3\")) {\n      addClass(element,\"span-3\");\n      removeClass(element,\"span-2\");\n      removeClass(element, \"span-4\");\n      removeClass(element, \"span-9\");\n      removeClass(element, \"span-6\");\n      removeClass(element, \"span-12\");\n    } else if (widthHeightProp > 1.9 && itemHeight < (viewPortHeight / 4) && !hasClass(element,\"span-2\")) {\n      addClass(element,\"span-2\");\n      removeClass(element,\"span-3\");\n      removeClass(element, \"span-4\");\n      removeClass(element, \"span-9\");\n      removeClass(element, \"span-6\");\n      removeClass(element, \"span-12\");\n    }\n    }\n\n\nreturn;\n}\n\n\n  /**\n   * Item - Protected prototype methods\n   * **********************************\n   */\n\n  /**\n   * Recalculate item's dimensions.\n   *\n   * @protected\n   * @memberof Item.prototype\n   * @returns {Item}\n   */\n  Item.prototype._refreshDimensions = function () {\n\n    var inst = this;\n\n    if (inst._isDestroyed || inst._isHidden) {\n      return inst;\n    }\n\n    var element = inst._element;\n\n    //refreshTiddlerClasses(element);\n\n    var rect = element.getBoundingClientRect();\n    var sides = ['left', 'right', 'top', 'bottom'];\n    var margin = inst._margin = inst._margin || {};\n    var side;\n    var i;\n\n    // Calculate width and height.\n    inst._width = rect.width;\n    inst._height = rect.height;\n\n    // Calculate margins (ignore negative margins).\n    for (i = 0; i < 4; i++) {\n      side = getStyleAsFloat(element, 'margin-' + sides[i]);\n      margin[sides[i]] = side > 0 ? side : 0;\n    }\n\n    return inst;\n\n  };\n\n  /**\n   * Fetch and store item's sort data.\n   *\n   * @protected\n   * @memberof Item.prototype\n   * @returns {Item}\n   */\n  Item.prototype._refreshSortData = function () {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return inst;\n    }\n\n    var sortData = {};\n    var getters = inst.getGrid()._settings.sortData;\n\n    // Fetch sort data.\n    if (getters) {\n      Object.keys(getters).forEach(function (key) {\n        sortData[key] = getters[key](inst, inst._element);\n      });\n    }\n\n    // Store sort data to the instance.\n    inst._sortData = sortData;\n\n    return inst;\n\n  };\n\n  /**\n   * Position item based on it's current data.\n   *\n   * @protected\n   * @memberof Item.prototype\n   * @param {Boolean} instant\n   * @param {Function} [onFinish]\n   * @returns {Item}\n   */\n  Item.prototype._layout = function (instant, onFinish) {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return inst;\n    }\n\n    var element = inst._element;\n    var isPositioning = inst._isPositioning;\n    var migrate = inst._migrate;\n    var release = inst._release;\n    var isJustReleased = release.isActive && release.isPositioningStarted === false;\n    var grid = inst.getGrid();\n    var settings = grid._settings;\n    var animDuration = isJustReleased ? settings.dragReleaseDuration : settings.layoutDuration;\n    var animEasing = isJustReleased ? settings.dragReleaseEasing : settings.layoutEasing;\n    var animEnabled = !instant && !inst._skipNextLayoutAnimation && animDuration > 0;\n    var isAnimating;\n    var offsetLeft;\n    var offsetTop;\n    var currentLeft;\n    var currentTop;\n    var targetStyles;\n\n    // If the item is currently positioning process current layout callback\n    // queue with interrupted flag on if the item is currently positioning.\n    if (isPositioning) {\n      processQueue(inst._layoutQueue, true, inst);\n    }\n\n    // Mark release positioning as started.\n    if (isJustReleased) {\n      release.isPositioningStarted = true;\n    }\n\n    // Push the callback to the callback queue.\n    if (typeof onFinish === typeFunction) {\n      inst._layoutQueue.push(onFinish);\n    }\n\n    // Get item container offsets and target styles.\n    offsetLeft = release.isActive ? release.containerDiffX : migrate.isActive ? migrate.containerDiffX : 0;\n    offsetTop = release.isActive ? release.containerDiffY : migrate.isActive ? migrate.containerDiffY : 0;\n    targetStyles = {transform: getTranslateString(inst._left + offsetLeft, inst._top + offsetTop)};\n\n    // If no animations are needed, easy peasy!\n    if (!animEnabled) {\n      isPositioning && rafLoop.cancel(rafQueueLayout, inst._id);\n      isAnimating = inst._animate.isAnimating();\n      inst._stopLayout(false, targetStyles);\n      !isAnimating && setStyles(element, targetStyles);\n      inst._skipNextLayoutAnimation = false;\n      return inst._finishLayout();\n    }\n\n    // Set item as positioning.\n    inst._isPositioning = true;\n\n    // Get the element's current left and top position in the read callback.\n    // Then in the write callback do the animation if necessary.\n    rafLoop.add(rafQueueLayout, inst._id, function () {\n      currentLeft = getTranslateAsFloat(element, 'x') - offsetLeft;\n      currentTop = getTranslateAsFloat(element, 'y') - offsetTop;\n    }, function () {\n\n      // If the item is already in correct position let's quit early.\n      if (inst._left === currentLeft && inst._top === currentTop) {\n        isPositioning && inst._stopLayout(false, targetStyles);\n        inst._isPositioning = false;\n        return inst._finishLayout();\n      }\n\n      // Set item's positioning class.\n      !isPositioning && addClass(element, settings.itemPositioningClass);\n\n      // Animate.\n      inst._animate.start(\n        {transform: getTranslateString(currentLeft + offsetLeft, currentTop + offsetTop)},\n        targetStyles,\n        {\n          duration: animDuration,\n          easing: animEasing,\n          onFinish: function () {\n            inst._finishLayout();\n          }\n        }\n      );\n\n    });\n\n    return inst;\n\n  };\n\n  /**\n   * Position item based on it's current data.\n   *\n   * @protected\n   * @memberof Item.prototype\n   * @returns {Item}\n   */\n  Item.prototype._finishLayout = function () {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return inst;\n    }\n\n    // Mark the item as not positioning and remove positioning classes.\n    if (inst._isPositioning) {\n      inst._isPositioning = false;\n      removeClass(inst._element, inst.getGrid()._settings.itemPositioningClass);\n    }\n\n    // Finish up release.\n    if (inst._release.isActive) {\n      inst._release.stop();\n    }\n\n    // Finish up migration.\n    if (inst._migrate.isActive) {\n      inst._migrate.stop();\n    }\n\n    // Process the callback queue.\n    processQueue(inst._layoutQueue, false, inst);\n\n    return inst;\n\n  };\n\n  /**\n   * Stop item's position animation if it is currently animating.\n   *\n   * @protected\n   * @memberof Item.prototype\n   * @param {Boolean} [processLayoutQueue=false]\n   * @param {Object} [targetStyles]\n   * @returns {Item}\n   */\n  Item.prototype._stopLayout = function (processLayoutQueue, targetStyles) {\n\n    var inst = this;\n\n    if (inst._isDestroyed || !inst._isPositioning) {\n      return inst;\n    }\n\n    // Cancel animation init.\n    rafLoop.cancel(rafQueueLayout, inst._id);\n\n    // Stop animation.\n    inst._animate.stop(targetStyles);\n\n    // Remove positioning class.\n    removeClass(inst._element, inst.getGrid()._settings.itemPositioningClass);\n\n    // Reset state.\n    inst._isPositioning = false;\n\n    // Process callback queue.\n    if (processLayoutQueue) {\n      processQueue(inst._layoutQueue, true, inst);\n    }\n\n    return inst;\n\n  };\n\n  Item.prototype._show = function (instant, onFinish) {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return inst;\n    }\n\n    var element = inst._element;\n    var queue = inst._visibilityQueue;\n    var callback = typeof onFinish === typeFunction ? onFinish : null;\n    var grid = inst.getGrid();\n    var settings = grid._settings;\n\n    // If item is visible call the callback and be done with it.\n    if (!inst._isShowing && !inst._isHidden) {\n      callback && callback(false, inst);\n      return inst;\n    }\n\n    // If item is showing and does not need to be shown instantly, let's just\n    // push callback to the callback queue and be done with it.\n    if (inst._isShowing && !instant) {\n      callback && queue.push(callback);\n      return inst;\n    }\n\n    // If the item is hiding or hidden process the current visibility callback\n    // queue with the interrupted flag active, update classes and set display\n    // to block if necessary.\n    if (!inst._isShowing) {\n      processQueue(queue, true, inst);\n      removeClass(element, settings.itemHiddenClass);\n      addClass(element, settings.itemVisibleClass);\n      !inst._isHiding && setStyles(element, {display: 'block'});\n    }\n\n    // Push callback to the callback queue.\n    callback && queue.push(callback);\n\n    // Update item's internal states.\n    inst._isActive = inst._isShowing = true;\n    inst._isHiding = inst._isHidden = false;\n\n    // If we need to show instantly.\n    if (instant) {\n      grid._itemShowHandler.stop(inst, settings.visibleStyles);\n      inst._isShowing = false;\n      processQueue(queue, false, inst);\n    }\n\n    // If we need to animate.\n    else {\n      grid._itemShowHandler.start(inst, instant, function () {\n        if (!inst._isHidden) {\n          inst._isShowing = false;\n          processQueue(queue, false, inst);\n        }\n      });\n    }\n\n    return inst;\n\n  };\n\n  /**\n   * Hide item.\n   *\n   * @protected\n   * @memberof Item.prototype\n   * @param {Boolean} instant\n   * @param {Function} [onFinish]\n   * @returns {Item}\n   */\n  Item.prototype._hide = function (instant, onFinish) {\n\n    var inst = this;\n\n    // Return immediately if the instance is destroyed.\n    if (inst._isDestroyed) {\n      return inst;\n    }\n\n    var element = inst._element;\n    var queue = inst._visibilityQueue;\n    var callback = typeof onFinish === typeFunction ? onFinish : null;\n    var grid = inst.getGrid();\n    var settings = grid._settings;\n\n    // If item is already hidden call the callback and be done with it.\n    if (!inst._isHiding && inst._isHidden) {\n      callback && callback(false, inst);\n      return inst;\n    }\n\n    // If item is hiding and does not need to be hidden instantly, let's just\n    // push callback to the callback queue and be done with it.\n    if (inst._isHiding && !instant) {\n      callback && queue.push(callback);\n      return inst;\n    }\n\n    // If the item is showing or visible process the current visibility callback\n    // queue with the interrupted flag active, update classes and set display\n    // to block if necessary.\n    if (!inst._isHiding) {\n      processQueue(queue, true, inst);\n      addClass(element, settings.itemHiddenClass);\n      removeClass(element, settings.itemVisibleClass);\n    }\n\n    // Push callback to the callback queue.\n    callback && queue.push(callback);\n\n    // Update item's internal states.\n    inst._isHidden = inst._isHiding = true;\n    inst._isActive = inst._isShowing = false;\n\n    // If we need to hide instantly.\n    if (instant) {\n      grid._itemHideHandler.stop(inst, settings.hiddenStyles);\n      inst._isHiding = false;\n      inst._stopLayout(true, {transform: getTranslateString(0, 0)});\n      setStyles(element, {display: 'none'});\n      processQueue(queue, false, inst);\n    }\n\n    // If we need to animate.\n    else {\n      grid._itemHideHandler.start(inst, instant, function () {\n        if (inst._isHidden) {\n          inst._isHiding = false;\n          inst._stopLayout(true, {transform: getTranslateString(0, 0)});\n          setStyles(element, {display: 'none'});\n          processQueue(queue, false, inst);\n        }\n      });\n    }\n\n    return inst;\n\n  };\n\n  /**\n   * Destroy item instance.\n   *\n   * @protected\n   * @memberof Item.prototype\n   * @param {Boolean} [removeElement=false]\n   * @returns {Item}\n   */\n  Item.prototype._destroy = function (removeElement) {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return inst;\n    }\n\n    var element = inst._element;\n    var grid = inst.getGrid();\n    var settings = grid._settings;\n    var index = grid._items.indexOf(inst);\n\n    // Destroy release and migration.\n    inst._release.destroy();\n    inst._migrate.destroy();\n\n    // Stop animations.\n    inst._stopLayout(true, {});\n    grid._itemShowHandler.stop(inst, {});\n    grid._itemHideHandler.stop(inst, {});\n\n    // Destroy drag.\n    inst._drag && inst._drag.destroy();\n\n    // Destroy animation handlers.\n    inst._animate.destroy();\n    inst._animateChild.destroy();\n\n    // Handle visibility callback queue, fire all uncompleted callbacks with\n    // interrupted flag.\n    processQueue(inst._visibilityQueue, true, inst);\n\n    // Remove all inline styles.\n    element.removeAttribute('style');\n    inst._child.removeAttribute('style');\n\n    // Remove classes.\n    removeClass(element, settings.itemPositioningClass);\n    removeClass(element, settings.itemDraggingClass);\n    removeClass(element, settings.itemReleasingClass);\n    removeClass(element, settings.itemClass);\n    removeClass(element, settings.itemVisibleClass);\n    removeClass(element, settings.itemHiddenClass);\n\n    // Remove item from Grid instance if it still exists there.\n    index > -1 && grid._items.splice(index, 1);\n\n    // Remove element from DOM.\n    removeElement && element.parentNode.removeChild(element);\n\n    // Remove item instance from the item instances collection.\n    itemInstances[inst._id] = undefined;\n\n    // Update item states (mostly just for good measure).\n    inst._isActive = inst._isPositioning = inst._isHiding = inst._isShowing = false;\n    inst._isDestroyed = inst._isHidden = true;\n\n    return inst;\n\n  };\n\n  /**\n   * Layout\n   * ******\n   */\n\n  /**\n   * Creates a new Layout instance.\n   *\n   * @public\n   * @class\n   * @param {Grid} grid\n   * @param {Item[]} items\n   */\n  function Layout(grid, items) {\n\n    var inst = this;\n    var layoutSettings = grid._settings.layout;\n\n    // Clone items.\n    items = items.concat();\n\n    // Let's make sure we have the correct container dimensions before going\n    // further.\n    grid._refreshDimensions();\n\n    var width = grid._width - grid._border.left - grid._border.right;\n    var height = grid._height - grid._border.top - grid._border.bottom;\n    var isCustomLayout = typeof layoutSettings === typeFunction;\n    var layout = isCustomLayout ? layoutSettings(items, width, height) :\n      muuriLayout(items, width, height, isPlainObject(layoutSettings) ? layoutSettings : {});\n\n    // Set instance data based on layout data.\n    inst.slots = layout.slots;\n    inst.setWidth = layout.setWidth || false;\n    inst.setHeight = layout.setHeight || false;\n    inst.width = layout.width;\n    inst.height = layout.height;\n\n  }\n\n  /**\n   * Emitter\n   * *******\n   */\n\n  /**\n   * Event emitter constructor.\n   *\n   * @public\n   * @class\n   */\n  function Emitter() {\n\n    this._events = {};\n    this._isDestroyed = false;\n\n  }\n\n  /**\n   * Emitter - Public prototype methods\n   * **********************************\n   */\n\n  /**\n   * Bind an event listener.\n   *\n   * @public\n   * @memberof Emitter.prototype\n   * @param {String} event\n   * @param {Function} listener\n   * @returns {Emitter}\n   */\n  Emitter.prototype.on = function (event, listener) {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return inst;\n    }\n\n    var listeners = inst._events[event] || [];\n    listeners.push(listener);\n    inst._events[event] = listeners;\n\n    return inst;\n\n  };\n\n  /**\n   * Bind an event listener that is triggered only once.\n   *\n   * @public\n   * @memberof Emitter.prototype\n   * @param {String} event\n   * @param {Function} listener\n   * @returns {Emitter}\n   */\n  Emitter.prototype.once = function (event, listener) {\n\n    var inst = this;\n    return this.on(event, function callback() {\n      inst.off(event, callback);\n      listener.apply(null, arguments);\n    });\n\n  };\n\n  /**\n   * Unbind all event listeners that match the provided listener function.\n   *\n   * @public\n   * @memberof Emitter.prototype\n   * @param {String} event\n   * @param {Function} listener\n   * @returns {Emitter}\n   */\n  Emitter.prototype.off = function (event, listener) {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return inst;\n    }\n\n    var listeners = inst._events[event] || [];\n    var i = listeners.length;\n\n    while (i--) {\n      if (listener === listeners[i]) {\n        listeners.splice(i, 1);\n      }\n    }\n\n    return inst;\n\n  };\n\n  /**\n   * Emit all listeners in a specified event with the provided arguments.\n   *\n   * @public\n   * @memberof Emitter.prototype\n   * @param {String} event\n   * @param {*} [arg1]\n   * @param {*} [arg2]\n   * @param {*} [arg3]\n   * @returns {Emitter}\n   */\n  Emitter.prototype.emit = function (event, arg1, arg2, arg3) {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return inst;\n    }\n\n    var listeners = inst._events[event] || [];\n    var listenersLength = listeners.length;\n    var argsLength = arguments.length - 1;\n    var i;\n\n    if (listenersLength) {\n      listeners = listeners.concat();\n      for (i = 0; i < listenersLength; i++) {\n        argsLength === 0 ? listeners[i]() :\n        argsLength === 1 ? listeners[i](arg1) :\n        argsLength === 2 ? listeners[i](arg1, arg2) :\n                            listeners[i](arg1, arg2, arg3);\n      }\n    }\n\n    return inst;\n\n  };\n\n  /**\n   * Destroy emitter instance. Basically just removes all bound listeners.\n   *\n   * @public\n   * @memberof Emitter.prototype\n   * @returns {Emitter}\n   */\n  Emitter.prototype.destroy = function () {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return inst;\n    }\n\n    var eventNames = Object.keys(inst._events);\n    var i;\n\n    for (i = 0; i < eventNames.length; i++) {\n      inst._events[eventNames[i]] = null;\n    }\n\n    inst._isDestroyed = true;\n\n    return inst;\n\n  };\n\n  /**\n   * ItemAnimate\n   * ***********\n   */\n\n  /**\n   * Muuri's internal animation engine. Uses Web Animations API.\n   *\n   * @public\n   * @class\n   * @param {Item} item\n   * @param {HTMLElement} element\n   */\n  function ItemAnimate(item, element) {\n\n    var inst = this;\n    inst._item = item;\n    inst._element = element;\n    inst._animation = null;\n    inst._propsTo = null;\n    inst._isDestroyed = false;\n\n  }\n\n  /**\n   * ItemAnimate - Public prototype methods\n   * **************************************\n   */\n\n  /**\n   * Start instance's animation. Automatically stops current animation if it is\n   * running.\n   *\n   * @public\n   * @memberof ItemAnimate.prototype\n   * @param {Object} propsFrom\n   * @param {Object} propsTo\n   * @param {Object} [options]\n   * @param {Number} [options.duration=300]\n   * @param {String} [options.easing='ease']\n   * @param {Function} [options.onFinish]\n   */\n  ItemAnimate.prototype.start = function (propsFrom, propsTo, options) {\n\n    var inst = this;\n\n    if (inst._isDestroyed) {\n      return;\n    }\n\n    var opts = options || {};\n    var callback = typeof opts.onFinish === typeFunction ? opts.onFinish : null;\n    var shouldStop;\n\n    // If item is being animate check if the target animation properties equal\n    // to the properties in the current animation. If they match we can just let\n    // the animation continue and be done with it (and of course change the\n    // cached callback). If the animation properties do not match we need to\n    // stop the ongoing animation.\n    if (inst._animation) {\n      shouldStop = Object.keys(propsTo).some(function (propName) {\n        return propsTo[propName] !== inst._propsTo[propName];\n      });\n      if (shouldStop) {\n        inst._animation.cancel();\n      }\n      else {\n        inst._animation.onfinish = function () {\n          inst._animation = inst._propsTo = null;\n          callback && callback();\n        };\n        return;\n      }\n    }\n\n    // Cache target props.\n    inst._propsTo = propsTo;\n\n    // Start the animation.\n    inst._animation = inst._element.animate([propsFrom, propsTo], {\n      duration: opts.duration || 300,\n      easing: opts.easing || 'ease'\n    });\n\n    // Bind animation finish callback.\n    inst._animation.onfinish = function () {\n      inst._animation = inst._propsTo = null;\n      callback && callback();\n    };\n\n    // Set the end styles.\n    setStyles(inst._element, propsTo);\n\n  };\n\n  /**\n   * Stop instance's current animation if running.\n   *\n   * @private\n   * @memberof ItemAnimate.prototype\n   * @param {Object} [currentProps]\n   */\n  ItemAnimate.prototype.stop = function (currentProps) {\n\n    var inst = this;\n\n    if (!inst._isDestroyed && inst._animation) {\n      setStyles(inst._element, currentProps || getCurrentStyles(inst._element, inst._propsTo));\n      inst._animation.cancel();\n      inst._animation = inst._propsTo = null;\n    }\n\n  };\n\n  /**\n   * Check if the item is being animated currently.\n   *\n   * @private\n   * @memberof ItemAnimate.prototype\n   * @return {Boolean}\n   */\n  ItemAnimate.prototype.isAnimating = function () {\n\n    return !!this._animation;\n\n  };\n\n  /**\n   * Destroy the instance and stop current animation if it is running.\n   *\n   * @public\n   * @memberof ItemAnimate.prototype\n   * @returns {Boolean}\n   */\n  ItemAnimate.prototype.destroy = function () {\n\n    var inst = this;\n\n    if (!inst._isDestroyed) {\n      inst.stop();\n      inst._item = inst._element = null;\n      inst._isDestroyed = true;\n    }\n\n  };\n\n  /**\n   * ItemMigrate\n   * ***********\n   */\n\n  /**\n   * The migrate process handler constructor.\n   *\n   * @class\n   * @private\n   * @param {Item} item\n   */\n  function ItemMigrate(item) {\n\n    var migrate = this;\n\n    // Private props.\n    migrate._itemId = item._id;\n    migrate._isDestroyed = false;\n\n    // Public props.\n    migrate.isActive = false;\n    migrate.container = false;\n    migrate.containerDiffX = 0;\n    migrate.containerDiffY = 0;\n\n  }\n\n  /**\n   * ItemMigrate - Public prototype methods\n   * **************************************\n   */\n\n  /**\n   * Destroy instance.\n   *\n   * @public\n   * @memberof ItemMigrate.prototype\n   * @returns {ItemMigrate}\n   */\n  ItemMigrate.prototype.destroy = function () {\n\n    var migrate = this;\n\n    if (!migrate._isDestroyed) {\n      migrate.stop(true);\n      migrate._isDestroyed = true;\n    }\n\n    return migrate;\n\n  };\n\n  /**\n   * Get Item instance.\n   *\n   * @public\n   * @memberof ItemMigrate.prototype\n   * @returns {?Item}\n   */\n  ItemMigrate.prototype.getItem = function () {\n\n    return itemInstances[this._itemId] || null;\n\n  };\n\n  /**\n   * Start the migrate process of an item.\n   *\n   * @public\n   * @memberof ItemMigrate.prototype\n   * @param {Grid} targetGrid\n   * @param {GridSingleItemQuery} position\n   * @param {HTMLElement} [container]\n   * @returns {ItemMigrate}\n   */\n  ItemMigrate.prototype.start = function (targetGrid, position, container) {\n\n    var migrate = this;\n\n    if (migrate._isDestroyed) {\n      return migrate;\n    }\n\n    var item = migrate.getItem();\n    var itemElement = item._element;\n    var isItemVisible = item.isVisible();\n    var currentGrid = item.getGrid();\n    var currentGridStn = currentGrid._settings;\n    var targetGridStn = targetGrid._settings;\n    var targetGridElement = targetGrid._element;\n    var currentIndex = currentGrid._items.indexOf(item);\n    var targetIndex = typeof position === typeNumber ? position : targetGrid._items.indexOf(targetGrid._getItem(position));\n    var targetContainer = container || body;\n    var currentContainer;\n    var offsetDiff;\n    var containerDiff;\n    var translateX;\n    var translateY;\n\n    // If we have invalid new index, let's return immediately.\n    if (targetIndex === null) {\n      return migrate;\n    }\n\n    // Normalize target index (for event data).\n    targetIndex = normalizeArrayIndex(targetGrid._items, targetIndex, true);\n\n    // Get current translateX and translateY values if needed.\n    if (item.isPositioning() || migrate.isActive || item.isReleasing()) {\n      translateX = getTranslateAsFloat(itemElement, 'x');\n      translateY = getTranslateAsFloat(itemElement, 'y');\n    }\n\n    // Abort current positioning.\n    if (item.isPositioning()) {\n      item._stopLayout(true, {transform: getTranslateString(translateX, translateY)});\n    }\n\n    // Abort current migration.\n    if (migrate.isActive) {\n      translateX -= migrate.containerDiffX;\n      translateY -= migrate.containerDiffY;\n      migrate.stop(true, {transform: getTranslateString(translateX, translateY)});\n    }\n\n    // Abort current release.\n    if (item.isReleasing()) {\n      translateX -= item._release.containerDiffX;\n      translateY -= item._release.containerDiffY;\n      item._release.stop(true, {transform: getTranslateString(translateX, translateY)});\n    }\n\n    // Stop current visibility animations.\n    // TODO: This causes potentially layout thrashing, because we are not\n    // feeding any styles to the stop handlers.\n    currentGrid._itemShowHandler.stop(item);\n    currentGrid._itemHideHandler.stop(item);\n\n    // Destroy current drag.\n    if (item._drag) {\n      item._drag.destroy();\n    }\n\n    // Destroy current animation handlers.\n    item._animate.destroy();\n    item._animateChild.destroy();\n\n    // Process current visibility animation queue.\n    processQueue(item._visibilityQueue, true, item);\n\n    // Emit beforeSend event.\n    currentGrid._emit(evBeforeSend, {\n      item: item,\n      fromGrid: currentGrid,\n      fromIndex: currentIndex,\n      toGrid: targetGrid,\n      toIndex: targetIndex\n    });\n\n    // Emit beforeReceive event.\n    targetGrid._emit(evBeforeReceive, {\n      item: item,\n      fromGrid: currentGrid,\n      fromIndex: currentIndex,\n      toGrid: targetGrid,\n      toIndex: targetIndex\n    });\n\n    // Remove current classnames.\n    removeClass(itemElement, currentGridStn.itemClass);\n    removeClass(itemElement, currentGridStn.itemVisibleClass);\n    removeClass(itemElement, currentGridStn.itemHiddenClass);\n\n    // Add new classnames.\n    addClass(itemElement, targetGridStn.itemClass);\n    addClass(itemElement, isItemVisible ? targetGridStn.itemVisibleClass : targetGridStn.itemHiddenClass);\n\n    // Move item instance from current grid to target grid.\n    currentGrid._items.splice(currentIndex, 1);\n    insertItemsToArray(targetGrid._items, item, targetIndex);\n\n    // Update item's grid id reference.\n    item._gridId = targetGrid._id;\n\n    // Instantiate new animation controllers.\n    item._animate = new Grid.ItemAnimate(item, itemElement);\n    item._animateChild = new Grid.ItemAnimate(item, item._child);\n\n    // Get current container\n    currentContainer = itemElement.parentNode;\n\n    // Move the item inside the target container if it's different than the\n    // current container.\n    if (targetContainer !== currentContainer) {\n      targetContainer.appendChild(itemElement);\n      offsetDiff = getOffsetDiff(targetContainer, currentContainer, true);\n      if (translateX === undefined) {\n        translateX = getTranslateAsFloat(itemElement, 'x');\n        translateY = getTranslateAsFloat(itemElement, 'y');\n      }\n      setStyles(itemElement, {transform: getTranslateString(translateX + offsetDiff.left, translateY + offsetDiff.top)});\n    }\n\n    // Update child element's styles to reflect the current visibility state.\n    item._child.removeAttribute('style');\n    if (isItemVisible) {\n      targetGrid._itemShowHandler.start(item, true);\n    }\n    else {\n      targetGrid._itemHideHandler.start(item, true);\n    }\n\n    // Update display styles.\n    setStyles(itemElement, {\n      display: isItemVisible ? 'block' : 'hidden'\n    });\n\n    // Get offset diff for the migration data.\n    containerDiff = getOffsetDiff(targetContainer, targetGridElement, true);\n\n    // Update item's cached dimensions and sort data.\n    item._refreshDimensions()._refreshSortData();\n\n    // Create new drag handler.\n    item._drag = targetGridStn.dragEnabled ? new Grid.ItemDrag(item) : null;\n\n    // Setup migration data.\n    migrate.isActive = true;\n    migrate.container = targetContainer;\n    migrate.containerDiffX = containerDiff.left;\n    migrate.containerDiffY = containerDiff.top;\n\n    // Emit send event.\n    currentGrid._emit(evSend, {\n      item: item,\n      fromGrid: currentGrid,\n      fromIndex: currentIndex,\n      toGrid: targetGrid,\n      toIndex: targetIndex\n    });\n\n    // Emit receive event.\n    targetGrid._emit(evReceive, {\n      item: item,\n      fromGrid: currentGrid,\n      fromIndex: currentIndex,\n      toGrid: targetGrid,\n      toIndex: targetIndex\n    });\n\n    return migrate;\n\n  };\n\n  /**\n   * End the migrate process of an item. This method can be used to abort an\n   * ongoing migrate process (animation) or finish the migrate process.\n   *\n   * @public\n   * @memberof ItemMigrate.prototype\n   * @param {Boolean} [abort=false]\n   *  - Should the migration be aborted?\n   * @param {Object} [currentStyles]\n   *  - Optional current translateX and translateY styles.\n   * @returns {ItemMigrate}\n   */\n  ItemMigrate.prototype.stop = function (abort, currentStyles) {\n\n    var migrate = this;\n\n    if (migrate._isDestroyed || !migrate.isActive) {\n      return migrate;\n    }\n\n    var item = migrate.getItem();\n    var element = item._element;\n    var grid = item.getGrid();\n    var gridElement = grid._element;\n    var translateX;\n    var translateY;\n\n    if (migrate.container !== gridElement) {\n      if (!currentStyles) {\n        translateX = abort ? getTranslateAsFloat(element, 'x') - migrate.containerDiffX : item._left;\n        translateY = abort ? getTranslateAsFloat(element, 'y') - migrate.containerDiffY : item._top;\n        currentStyles = {transform: getTranslateString(translateX, translateY)};\n      }\n      gridElement.appendChild(element);\n      setStyles(element, currentStyles);\n    }\n\n    migrate.isActive = false;\n    migrate.container = null;\n    migrate.containerDiffX = 0;\n    migrate.containerDiffY = 0;\n\n    return migrate;\n\n  };\n\n  /**\n   * ItemRelease\n   * ***********\n   */\n\n  /**\n   * The release process handler constructor. Although this might seem as proper\n   * fit for the drag process this needs to be separated into it's own logic\n   * because there might be a scenario where drag is disabled, but the release\n   * process still needs to be implemented (dragging from a grid to another).\n   *\n   * @class\n   * @private\n   * @param {Item} item\n   */\n  function ItemRelease(item) {\n\n    var release = this;\n\n    // Private props.\n    release._itemId = item._id;\n    release._isDestroyed = false;\n\n    // Public props.\n    release.isActive = false;\n    release.isPositioningStarted = false;\n    release.containerDiffX = 0;\n    release.containerDiffY = 0;\n\n  }\n\n  /**\n   * ItemRelease - Public prototype methods\n   * **************************************\n   */\n\n  /**\n   * Destroy instance.\n   *\n   * @public\n   * @memberof ItemRelease.prototype\n   * @returns {ItemRelease}\n   */\n  ItemRelease.prototype.destroy = function () {\n\n    var release = this;\n\n    if (!release._isDestroyed) {\n      release.stop(true);\n      release._isDestroyed = true;\n    }\n\n    return release;\n\n  };\n\n  /**\n   * Get Item instance.\n   *\n   * @public\n   * @memberof ItemRelease.prototype\n   * @returns {?Item}\n   */\n  ItemRelease.prototype.getItem = function () {\n\n    return itemInstances[this._itemId] || null;\n\n  };\n\n  /**\n   * Reset public data and remove releasing class.\n   *\n   * @public\n   * @memberof ItemRelease.prototype\n   * @returns {ItemRelease}\n   */\n  ItemRelease.prototype.reset = function () {\n\n    var release = this;\n\n    if (release._isDestroyed) {\n      return release;\n    }\n\n    var item = release.getItem();\n    release.isActive = false;\n    release.isPositioningStarted = false;\n    release.containerDiffX = 0;\n    release.containerDiffY = 0;\n    removeClass(item._element, item.getGrid()._settings.itemReleasingClass);\n\n    return release;\n\n  };\n\n  /**\n   * Start the release process of an item.\n   *\n   * @public\n   * @memberof ItemRelease.prototype\n   * @returns {ItemRelease}\n   */\n  ItemRelease.prototype.start = function () {\n\n    var release = this;\n\n    if (release._isDestroyed || release.isActive) {\n      return release;\n    }\n\n    var item = release.getItem();\n    var grid = item.getGrid();\n\n    // Flag release as active.\n    release.isActive = true;\n\n    // Add release classname to the released element.\n    addClass(item._element, grid._settings.itemReleasingClass);\n\n    // Emit dragReleaseStart event.\n    grid._emit(evDragReleaseStart, item);\n\n    // Position the released item.\n    item._layout(false);\n\n    return release;\n\n  };\n\n  /**\n   * End the release process of an item. This method can be used to abort an\n   * ongoing release process (animation) or finish the release process.\n   *\n   * @public\n   * @memberof ItemRelease.prototype\n   * @param {Boolean} [abort=false]\n   *  - Should the release be aborted? When true, the release end event won't be\n   *    emitted. Set to true only when you need to abort the release process\n   *    while the item is animating to it's position.\n   * @param {Object} [currentStyles]\n   *  - Optional current translateX and translateY styles.\n   * @returns {ItemRelease}\n   */\n    ItemRelease.prototype.stop = function (abort, currentStyles) {\n\n    var release = this;\n\n    if (release._isDestroyed || !release.isActive) {\n      return release;\n    }\n\n    var item = release.getItem();\n    var element = item._element;\n    var grid = item.getGrid();\n    var container = grid._element;\n    var containerDiffX = release.containerDiffX;\n    var containerDiffY = release.containerDiffY;\n    var translateX;\n    var translateY;\n\n    // Reset data and remove releasing classname from the element.\n    release.reset();\n\n    // If the released element is outside the grid's container element put it\n    // back there and adjust position accordingly.\n    if (element.parentNode !== container) {\n      if (!currentStyles) {\n        translateX = abort ? getTranslateAsFloat(element, 'x') - containerDiffX : item._left;\n        translateY = abort ? getTranslateAsFloat(element, 'y') - containerDiffY : item._top;\n        currentStyles = {transform: getTranslateString(translateX, translateY)};\n      }\n      container.appendChild(element);\n      setStyles(element, currentStyles);\n    }\n\n    // Emit dragReleaseEnd event.\n    if (!abort) {\n      grid._emit(evDragReleaseEnd, item);\n    }\n\n    return release;\n\n  };\n\n  /**\n   * ItemDrag\n   * ********\n   */\n\n  /**\n   * Bind Hammer touch interaction to an item.\n   *\n   * @class\n   * @private\n   * @param {Item} item\n   */\n  function ItemDrag(item) {\n\n    if (!Hammer) {\n      throw new Error('[' + namespace + '] required dependency Hammer is not defined.');\n    }\n\n    var drag = this;\n    var element = item._element;\n    var grid = item.getGrid();\n    var settings = grid._settings;\n    var hammer;\n\n    // Start predicate.\n    var startPredicate = typeof settings.dragStartPredicate === typeFunction ?\n      settings.dragStartPredicate : ItemDrag.defaultStartPredicate;\n    var startPredicateState = startPredicateInactive;\n    var startPredicateResult;\n\n    // Protected data.\n    drag._itemId = item._id;\n    drag._gridId = grid._id;\n    drag._hammer = hammer = new Hammer.Manager(element);\n    drag._isDestroyed = false;\n    drag._isMigrating = false;\n    drag._data = {};\n\n    // Create a private drag start resolver that can be used to resolve the drag\n    // start predicate asynchronously.\n    drag._resolveStartPredicate = function (event) {\n      if (!drag._isDestroyed && startPredicateState === startPredicatePending) {\n        startPredicateState = startPredicateResolved;\n        drag.onStart(event);\n      }\n    };\n\n    // Create scroll listener.\n    drag._scrollListener = function (e) {\n      drag.onScroll(e);\n    };\n\n    // Create overlap checker function.\n    drag._checkSortOverlap = debounce(function () {\n      drag._data.isActive && drag.checkOverlap();\n    }, settings.dragSortInterval);\n\n    // Create sort predicate.\n    drag._sortPredicate = typeof settings.dragSortPredicate === typeFunction ?\n      settings.dragSortPredicate : ItemDrag.defaultSortPredicate;\n\n    // Setup item's initial drag data.\n    drag.reset();\n\n    // Add drag recognizer to hammer.\n    hammer.add(new Hammer.Pan({\n      event: 'drag',\n      pointers: 1,\n      threshold: 30,\n      direction: Hammer.DIRECTION_ALL\n    }));\n\n    // Add draginit recognizer to hammer.\n    hammer.add(new Hammer.Press({\n      event: 'draginit',\n      pointers: 1,\n      threshold: 1000,\n      time: 0\n    }));\n\n    hammer.add(new Hammer.Pinch({\n      event: 'pinch',\n      pointers: 2,\n      threshold: 0\n    }));\n\n    hammer.add(new Hammer.Tap({\n      event: 'doubletap',\n      taps: 2\n    }));\n\n    hammer.add(new Hammer.Tap({\n      event: 'singletap'\n    }));\n\n    hammer.add(new Hammer.Tap ({\n      event: 'tripletap',\n      pointer: 1,\n      taps: 3,\n      threshold: 20,\n      posThreshold: 30\n    }));\n\n    hammer.add(new Hammer.Tap ({\n      event: 'quadrupletap',\n      taps: 4\n      }));\n\n    // Configure the hammer instance.\n    if (isPlainObject(settings.dragHammerSettings)) {\n      hammer.set(settings.dragHammerSettings);\n    }\n\n    hammer.get('pinch').recognizeWith('draginit');\n    hammer.get('draginit').requireFailure('singletap').requireFailure('doubletap').requireFailure('tripletap').requireFailure('quadrupletap').recognizeWith('tripletap'); //.requireFailure('pinch')\n    hammer.get('tripletap').recognizeWith('singletap').requireFailure('singletap');\n\n\n    // Bind drag events.\nhammer\n    .on('pinch pinchstart pinchin pinchout', function (e) {\n        e.preventDefault();\n\n      // Let's activate drag start predicate state.\n      if (startPredicateState === startPredicateInactive) {\n        startPredicateState = startPredicatePending;\n      }\n\n      // If predicate is pending try to resolve it.\n      if (startPredicateState === startPredicatePending) {\n        startPredicateResult = startPredicate(drag.getItem(), e);\n        if (startPredicateResult === true) {\n          startPredicateState = startPredicateResolved;\n          drag.onPinchStart(e);\n        }\n        else if (startPredicateResult === false) {\n          startPredicateState = startPredicateRejected;\n        }\n      }\n\n      // Otherwise if predicate is resolved and drag is active, move the item.\n      else if (startPredicateState === startPredicateResolved && drag._data.isActive) {\n        drag.onPinch(e);\n      }\n\n    })\n    .on('dragmove', function (e) {\n  \n      // Let's activate drag start predicate state.\n      if (startPredicateState === startPredicateInactive) {\n        startPredicateState = startPredicatePending;\n      }\n\n      // If predicate is pending try to resolve it.\n      if (startPredicateState === startPredicatePending) {\n        startPredicateResult = startPredicate(drag.getItem(), e);\n        if (startPredicateResult === true) {\n          startPredicateState = startPredicateResolved;\n          drag.onStart(e);\n        }\n        else if (startPredicateResult === false) {\n          startPredicateState = startPredicateRejected;\n        }\n      }\n\n      // Otherwise if predicate is resolved and drag is active, move the item.\n      else if (startPredicateState === startPredicateResolved && drag._data.isActive) {\n        drag.onMove(e);\n      }\n\n    })\n    .on('touchend pinchend pinchcancel', function (e) {\n\n      // Check if the start predicate was resolved during drag.\n      var isResolved = startPredicateState === startPredicateResolved;\n\n      // Do final predicate check to allow user to unbind stuff for the current\n      // drag procedure within the predicate callback. The return value of this\n      // check will have no effect to the state of the predicate.\n      startPredicate(drag.getItem(), e);\n\n      // Reset start predicate state.\n      startPredicateState = startPredicateInactive;\n\n      // If predicate is resolved and dragging is active, call the end handler.\n      if (isResolved && drag._data.isActive) {\n        drag.onPinchEnd(e);\n      }\n\n    })\n    .on('dragend dragcancel draginitup mouseup', function (e) {\n\n      // Check if the start predicate was resolved during drag.\n      var isResolved = startPredicateState === startPredicateResolved;\n\n      // Do final predicate check to allow user to unbind stuff for the current\n      // drag procedure within the predicate callback. The return value of this\n      // check will have no effect to the state of the predicate.\n      startPredicate(drag.getItem(), e);\n\n      // Reset start predicate state.\n      startPredicateState = startPredicateInactive;\n\n      // If predicate is resolved and dragging is active, call the end handler.\n      if (isResolved && drag._data.isActive) {\n        drag.onEnd(e);\n      }\n\n    });\n    // Prevent native link/image dragging for the item and it's ancestors.\n    element.addEventListener('dragstart', preventDefault, false);\n\n  }\n\n  /**\n   * ItemDrag - Public methods\n   * *************************\n   */\n\n  /**\n   * Default drag start predicate handler that handles anchor elements\n   * gracefully. The return value of this function defines if the drag is\n   * started, rejected or pending. When true is returned the dragging is started\n   * and when false is returned the dragging is rejected. If nothing is returned\n   * the predicate will be called again on the next drag movement.\n   *\n   * @public\n   * @memberof ItemDrag\n   * @param {Item} item\n   * @param {Object} event\n   * @param {Object} [options]\n   *   - An optional options object which can be used to pass the predicate\n   *     it's options manually. By default the predicate retrieves the options\n   *     from the grid's settings.\n   * @returns {Boolean}\n   */\n  ItemDrag.defaultStartPredicate = function (item, event, options) {\n\n    var element = item._element;\n    var predicate = item._drag._startPredicateData;\n    var config;\n    var isAnchor;\n    var href;\n    var target;\n\n    // Setup data if it is not set up yet.\n    if (!predicate) {\n      config = options || item._drag.getGrid()._settings.dragStartPredicate;\n      config = isPlainObject(config) ? config : {};\n      predicate = item._drag._startPredicateData = {\n        distance: Math.abs(config.distance) || 0,\n        delay: Math.max(config.delay, 0) || 0,\n        handle: typeof config.handle === 'string' ? config.handle : false\n      };\n    }\n\n    // Final event logic. At this stage return value does not matter anymore,\n    // the predicate is either resolved or it's not and there's nothing to do\n    // about it. Here we just reset data and if the item element is a link\n    // we follow it (if there has only been slight movement).\n    if (event.isFinal) {\n      isAnchor = element.tagName.toLowerCase() === 'a';\n      href = element.getAttribute('href');\n      target = element.getAttribute('target');\n      dragStartPredicateReset(item);\n      if (isAnchor && href && Math.abs(event.deltaX) < 2 && Math.abs(event.deltaY) < 2 && event.deltaTime < 200) {\n        if (target && target !== '_self') {\n          global.open(href, target);\n        }\n        else {\n          global.location.href = href;\n        }\n      }\n      return;\n    }\n\n    // Find and store the handle element so we can check later on if the\n    // cursor is within the handle. If we have a handle selector let's find\n    // the corresponding element. Otherwise let's use the item element as the\n    // handle.\n    if (!predicate.handleElement) {\n      if (predicate.handle) {\n        predicate.handleElement = (event.changedPointers[0] || {}).target;\n        while (predicate.handleElement && !elementMatches(predicate.handleElement, predicate.handle)) {\n          predicate.handleElement = predicate.handleElement !== element ? predicate.handleElement.parentElement : null;\n        }\n        if (!predicate.handleElement) {\n          return false;\n        }\n      }\n      else {\n        predicate.handleElement = element;\n      }\n    }\n\n    // If delay is defined let's keep track of the latest event and initiate\n    // delay if it has not been done yet.\n    if (predicate.delay) {\n      predicate.event = event;\n      if (!predicate.delayTimer) {\n        predicate.delayTimer = global.setTimeout(function () {\n          predicate.delay = 0;\n          if (dragStartPredicateResolve(item, predicate.event)) {\n            item._drag._resolveStartPredicate(predicate.event);\n            dragStartPredicateReset(item);\n          }\n        }, predicate.delay);\n      }\n    }\n\n    return dragStartPredicateResolve(item, event);\n\n  };\n\n  /**\n   * Default drag sort predicate.\n   *\n   * @public\n   * @memberof ItemDrag\n   * @param {Item} item\n   * @param {Object} event\n   * @returns {(Boolean|DragSortCommand)}\n   *   - Returns false if no valid index was found. Otherwise returns drag sort\n   *     command.\n   */\n  ItemDrag.defaultSortPredicate = function (item) {\n\n    var drag = item._drag;\n    var dragData = drag._data;\n    var rootGrid = drag.getGrid();\n    var settings = rootGrid._settings;\n    var config = settings.dragSortPredicate || {};\n    var sortThreshold = config.threshold || 50;\n    var sortAction = config.action || 'move';\n    var itemRect = {\n      width: item._width,\n      height: item._height,\n      left: dragData.elementClientX,\n      top: dragData.elementClientY\n    };\n    var grid = getTargetGrid(item, rootGrid, itemRect, sortThreshold);\n    var gridOffsetLeft = 0;\n    var gridOffsetTop = 0;\n    var matchScore = -1;\n    var matchIndex;\n    var hasValidTargets;\n    var target;\n    var score;\n    var i;\n\n    // Return early if we found no grid container element that overlaps the\n    // dragged item enough.\n    if (!grid) {\n      return false;\n    }\n\n    // If item is moved within it's originating grid adjust item's left and top\n    // props. Otherwise if item is moved to/within another grid get the\n    // container element's offset (from the element's content edge).\n    if (grid === rootGrid) {\n      itemRect.left = dragData.gridX + item._margin.left;\n      itemRect.top = dragData.gridY + item._margin.top;\n    }\n    else {\n      gridOffsetLeft = grid._left + grid._border.left;\n      gridOffsetTop = grid._top + grid._border.top;\n    }\n\n    // Loop through the target grid items and try to find the best match.\n    for (i = 0; i < grid._items.length; i++) {\n\n      target = grid._items[i];\n\n      // If the target item is not active or the target item is the dragged item\n      // let's skip to the next item.\n      if (!target._isActive || target === item) {\n        continue;\n      }\n\n      // Mark the grid as having valid target items.\n      hasValidTargets = true;\n\n      // Calculate the target's overlap score with the dragged item.\n      score = getRectOverlapScore(itemRect, {\n        width: target._width,\n        height: target._height,\n        left: target._left + target._margin.left + gridOffsetLeft,\n        top: target._top + target._margin.top + gridOffsetTop\n      });\n\n      // Update best match index and score if the target's overlap score with\n      // the dragged item is higher than the current best match score.\n      if (score > matchScore) {\n        matchIndex = i;\n        matchScore = score;\n      }\n\n    }\n\n    // If there is no valid match and the item is being moved into another grid.\n    if (matchScore < sortThreshold && item.getGrid() !== grid) {\n      matchIndex = hasValidTargets ? -1 : 0;\n      matchScore = Infinity;\n    }\n\n    // Check if the best match overlaps enough to justify a placement switch.\n    if (matchScore >= sortThreshold) {\n      return {\n        grid: grid,\n        index: matchIndex,\n        action: sortAction\n      };\n    }\n\n    return false;\n\n  };\n\n  /**\n   * ItemDrag - Public prototype methods\n   * ***********************************\n   */\n\n  /**\n   * Destroy instance.\n   *\n   * @public\n   * @memberof ItemDrag.prototype\n   * @returns {ItemDrag}\n   */\n  ItemDrag.prototype.destroy = function () {\n\n    var drag = this;\n\n    if (!drag._isDestroyed) {\n      drag.stop();\n      drag._hammer.destroy();\n      drag.getItem()._element.removeEventListener('dragstart', preventDefault, false);\n      drag._isDestroyed = true;\n    }\n\n    return drag;\n\n  };\n\n  /**\n   * Get Item instance.\n   *\n   * @public\n   * @memberof ItemDrag.prototype\n   * @returns {?Item}\n   */\n  ItemDrag.prototype.getItem = function () {\n\n    return itemInstances[this._itemId] || null;\n\n  };\n\n  /**\n   * Get Grid instance.\n   *\n   * @public\n   * @memberof ItemDrag.prototype\n   * @returns {?Grid}\n   */\n  ItemDrag.prototype.getGrid = function () {\n\n    return gridInstances[this._gridId] || null;\n\n  };\n\n  /**\n   * Setup/reset drag data.\n   *\n   * @public\n   * @memberof ItemDrag.prototype\n   * @returns {ItemDrag}\n   */\n  ItemDrag.prototype.reset = function () {\n\n    var drag = this;\n    var dragData = drag._data;\n\n    // Is item being dragged?\n    dragData.isActive = false;\n\n    // The dragged item's container element.\n    dragData.container = null;\n\n    // The dragged item's containing block.\n    dragData.containingBlock = null;\n\n    // Hammer event data.\n    dragData.startEvent = null;\n    dragData.currentEvent = null;\n\n    // All the elements which need to be listened for scroll events during\n    // dragging.\n    dragData.scrollers = [];\n\n    // The current translateX/translateY position.\n    dragData.left = 0;\n    dragData.top = 0;\n\n    // Dragged element's current position within the grid.\n    dragData.gridX = 0;\n    dragData.gridY = 0;\n\n    // Dragged element's current offset from window's northwest corner. Does\n    // not account for element's margins.\n    dragData.elementClientX = 0;\n    dragData.elementClientY = 0;\n\n    // Offset difference between the dragged element's temporary drag\n    // container and it's original container.\n    dragData.containerDiffX = 0;\n    dragData.containerDiffY = 0;\n\n    return drag;\n\n  };\n\n  /**\n   * Bind drag scroll handlers to all scrollable ancestor elements of the\n   * dragged element and the drag container element.\n   *\n   * @public\n   * @memberof ItemDrag.prototype\n   * @returns {ItemDrag}\n   */\n  ItemDrag.prototype.bindScrollListeners = function () {\n\n    var drag = this;\n    var gridContainer = drag.getGrid()._element;\n    var dragContainer = drag._data.container;\n    var scrollers = getScrollParents(drag.getItem()._element);\n    var i;\n\n    // If drag container is defined and it's not the same element as grid\n    // container then we need to add the grid container and it's scroll parents\n    // to the elements which are going to be listener for scroll events.\n    if (dragContainer !== gridContainer) {\n      scrollers = arrayUnique(scrollers.concat(gridContainer).concat(getScrollParents(gridContainer)));\n    }\n\n    // Bind scroll listeners.\n    for (i = 0; i < scrollers.length; i++) {\n      scrollers[i].addEventListener('scroll', drag._scrollListener);\n    }\n\n    // Save scrollers to drag data.\n    drag._data.scrollers = scrollers;\n\n    return drag;\n\n  };\n\n  /**\n   * Unbind currently bound drag scroll handlers from all scrollable ancestor\n   * elements of the dragged element and the drag container element.\n   *\n   * @public\n   * @memberof ItemDrag.prototype\n   * @returns {ItemDrag}\n   */\n  ItemDrag.prototype.unbindScrollListeners = function () {\n\n    var drag = this;\n    var dragData = drag._data;\n    var scrollers = dragData.scrollers;\n    var i;\n\n    for (i = 0; i < scrollers.length; i++) {\n      scrollers[i].removeEventListener('scroll', drag._scrollListener);\n    }\n\n    dragData.scrollers = [];\n\n    return drag;\n\n  };\n\n  /**\n   * Check (during drag) if an item is overlapping other items and based on\n   * the configuration layout the items.\n   *\n   * @public\n   * @memberof ItemDrag.prototype\n   * @returns {ItemDrag}\n   */\n  ItemDrag.prototype.checkOverlap = function () {\n\n    var drag = this;\n    var item = drag.getItem();\n    var result = drag._sortPredicate(item, drag._data.currentEvent);\n    var currentGrid;\n    var currentIndex;\n    var targetGrid;\n    var targetIndex;\n    var sortAction;\n    var isMigration;\n\n    // Let's make sure the result object has a valid index before going further.\n    if (!isPlainObject(result) || typeof result.index !== typeNumber) {\n      return drag;\n    }\n\n    currentGrid = item.getGrid();\n    targetGrid = result.grid || currentGrid;\n    isMigration = currentGrid !== targetGrid;\n    currentIndex = currentGrid._items.indexOf(item);\n    targetIndex = normalizeArrayIndex(targetGrid._items, result.index, isMigration);\n    sortAction = result.action === 'swap' ? 'swap' : 'move';\n\n    // If the item was moved within it's current grid.\n    if (!isMigration) {\n\n      // Make sure the target index is not the current index.\n      if (currentIndex !== targetIndex) {\n\n        // Do the sort.\n        (sortAction === 'swap' ? arraySwap : arrayMove)(currentGrid._items, currentIndex, targetIndex);\n\n        // Emit move event.\n        currentGrid._emit(evMove, {\n          item: item,\n          fromIndex: currentIndex,\n          toIndex: targetIndex,\n          action: sortAction\n        });\n\n        // Layout the grid.\n        currentGrid.layout();\n\n      }\n\n    }\n\n    // If the item was moved to another grid.\n    else {\n\n      // Emit beforeSend event.\n      currentGrid._emit(evBeforeSend, {\n        item: item,\n        fromGrid: currentGrid,\n        fromIndex: currentIndex,\n        toGrid: targetGrid,\n        toIndex: targetIndex\n      });\n\n      // Emit beforeReceive event.\n      targetGrid._emit(evBeforeReceive, {\n        item: item,\n        fromGrid: currentGrid,\n        fromIndex: currentIndex,\n        toGrid: targetGrid,\n        toIndex: targetIndex\n      });\n\n      // Update item's grid id reference.\n      item._gridId = targetGrid._id;\n\n      // Update drag instances's migrating indicator.\n      drag._isMigrating = item._gridId !== drag._gridId;\n\n      // Move item instance from current grid to target grid.\n      currentGrid._items.splice(currentIndex, 1);\n      insertItemsToArray(targetGrid._items, item, targetIndex);\n\n      // Set sort data as null, which is an indicator for the item comparison\n      // function that the sort data of this specific item should be fetched\n      // lazily.\n      item._sortData = null;\n\n      // Emit send event.\n      currentGrid._emit(evSend, {\n        item: item,\n        fromGrid: currentGrid,\n        fromIndex: currentIndex,\n        toGrid: targetGrid,\n        toIndex: targetIndex\n      });\n\n      // Emit receive event.\n      targetGrid._emit(evReceive, {\n        item: item,\n        fromGrid: currentGrid,\n        fromIndex: currentIndex,\n        toGrid: targetGrid,\n        toIndex: targetIndex\n      });\n\n      // Layout both grids.\n      currentGrid.layout();\n      targetGrid.layout();\n\n    }\n\n    return drag;\n\n  };\n\n  /**\n   * If item is dragged into another grid, finish the migration process\n   * gracefully.\n   *\n   * @public\n   * @memberof ItemDrag.prototype\n   * @returns {ItemDrag}\n   */\n  ItemDrag.prototype.finishMigration = function () {\n\n    var drag = this;\n    var item = drag.getItem();\n    var release = item._release;\n    var element = item._element;\n    var targetGrid = item.getGrid();\n    var targetGridElement = targetGrid._element;\n    var targetSettings = targetGrid._settings;\n    var targetContainer = targetSettings.dragContainer || targetGridElement;\n    var currentSettings = drag.getGrid()._settings;\n    var currentContainer = element.parentNode;\n    var translateX;\n    var translateY;\n    var offsetDiff;\n\n    // Destroy current drag. Note that we need to set the migrating flag to\n    // false first, because otherwise we create an infinite loop between this\n    // and the drag.stop() method.\n    drag._isMigrating = false;\n    drag.destroy();\n\n    // Destroy current animation handlers.\n    item._animate.destroy();\n    item._animateChild.destroy();\n\n    // Remove current classnames.\n    removeClass(element, currentSettings.itemClass);\n    removeClass(element, currentSettings.itemVisibleClass);\n    removeClass(element, currentSettings.itemHiddenClass);\n\n    // Add new classnames.\n    addClass(element, targetSettings.itemClass);\n    addClass(element, targetSettings.itemVisibleClass);\n\n    // Instantiate new animation controllers.\n    item._animate = new Grid.ItemAnimate(item, element);\n    item._animateChild = new Grid.ItemAnimate(item, item._child);\n\n    // Move the item inside the target container if it's different than the\n    // current container.\n    if (targetContainer !== currentContainer) {\n      targetContainer.appendChild(element);\n      offsetDiff = getOffsetDiff(currentContainer, targetContainer, true);\n      translateX = getTranslateAsFloat(element, 'x') - offsetDiff.left;\n      translateY = getTranslateAsFloat(element, 'y') - offsetDiff.top;\n    }\n\n    // Update item's cached dimensions and sort data.\n    item._refreshDimensions()._refreshSortData();\n\n    // Calculate the offset difference between target's drag container (if any)\n    // and actual grid container element. We save it later for the release\n    // process.\n    offsetDiff = getOffsetDiff(targetContainer, targetGridElement, true);\n    release.containerDiffX = offsetDiff.left;\n    release.containerDiffY = offsetDiff.top;\n\n    // Recreate item's drag handler.\n    item._drag = targetSettings.dragEnabled ? new Grid.ItemDrag(item) : null;\n\n    // Adjust the position of the item element if it was moved from a container\n    // to another.\n    if (targetContainer !== currentContainer) {\n      setStyles(element, {transform: getTranslateString(translateX, translateY)});\n    }\n\n    // Update child element's styles to reflect the current visibility state.\n    item._child.removeAttribute('style');\n    targetGrid._itemShowHandler.start(item, true);\n\n    // Start the release.\n    release.start();\n\n    //refreshTiddlerClasses(element);\n\n    return drag;\n\n  };\n\n  /**\n   * cancel move/scroll event raf loop action.\n   *\n   * @public\n   * @memberof ItemDrag.prototype\n   * @returns {ItemDrag}\n   */\n  ItemDrag.prototype.cancelRafLoop = function () {\n\n    var id = this.getItem()._id;\n\n    rafLoop.cancel(rafQueueScroll, id);\n    rafLoop.cancel(rafQueueMove, id);\n\n    return this;\n\n  };\n\n  /**\n   * Abort dragging and reset drag data.\n   *\n   * @public\n   * @memberof ItemDrag.prototype\n   * @returns {ItemDrag}\n   */\n  ItemDrag.prototype.stop = function () {\n\n    var drag = this;\n    var dragData = drag._data;\n    var item = drag.getItem();\n    var element = item._element;\n    var grid = drag.getGrid();\n\n    if (!dragData.isActive) {\n      return drag;\n    }\n\n    // If the item is being dropped into another grid, finish it up and return\n    // immediately.\n    if (drag._isMigrating) {\n      return drag.finishMigration(dragData.currentEvent);\n    }\n\n    // Cancel raf loop actions.\n    drag.cancelRafLoop();\n\n    // Remove scroll listeners.\n    drag.unbindScrollListeners();\n\n    // Cancel overlap check.\n    drag._checkSortOverlap('cancel');\n\n    // Append item element to the container if it's not it's child. Also make\n    // sure the translate values are adjusted to account for the DOM shift.\n    if (element.parentNode !== grid._element) {\n      grid._element.appendChild(element);\n      setStyles(element, {transform: getTranslateString(dragData.gridX, dragData.gridY)});\n    }\n\n    // Remove dragging class.\n    removeClass(element, grid._settings.itemDraggingClass);\n\n    // Reset drag data.\n    drag.reset();\n\n    return drag;\n\n  };\n\n\nfunction getTiddlerAsJson(title) {\n\tvar tiddler = $tw.wiki.getTiddler(title);\n\tif(tiddler) {\n\t\tvar fields = Object.create(null);\n\t\t$tw.utils.each(tiddler.fields,function(value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\treturn JSON.stringify(fields);\n\t} else {\n\t\treturn JSON.stringify({title: title});\n\t}\n}\n\n\n    var currentStoryList;\n    var storyListIndex;\n\n  /**\n   * Drag start handler.\n   *\n   * @public\n   * @memberof ItemDrag.prototype\n   * @param {Object} event\n   * @returns {ItemDrag}\n   */\n  ItemDrag.prototype.onStart = function (event) {\n\n    var drag = this;\n    var item = drag.getItem();\n\n    // If item is not active, don't start the drag.\n    if (!item._isActive) {\n      return drag;\n    }\n\n    var element = item._element;\n    var grid = drag.getGrid();\n    var settings = grid._settings;\n    var dragData = drag._data;\n    var release = item._release;\n    var migrate = item._migrate;\n    var gridContainer = grid._element;\n    var dragContainer = settings.dragContainer || gridContainer;\n    var containingBlock = getContainingBlock(dragContainer, true);\n    var offsetDiff = dragContainer !== gridContainer ? getOffsetDiff(containingBlock, gridContainer) : 0;\n    var currentLeft = getTranslateAsFloat(element, 'x');\n    var currentTop = getTranslateAsFloat(element, 'y');\n    var elementRect = element.getBoundingClientRect();\n    var items = grid.getItems();\n    var currentIndex = items.indexOf(item);\n    var targetIndex = normalizeArrayIndex(items, currentIndex);\n    var targetsAreTiddlers = settings.targetsAreTiddlers;\n    var muuriParentWidget = grid._settings.muuriParentWidget;\n    var dragTiddler;\n\n//console.log(\"currentIndex: \" + currentIndex + \" targetIndex: \" + targetIndex);\n\n    if (targetsAreTiddlers === true) {\n    currentStoryList = $tw.wiki.getTiddlerList(\"$:/StoryList\");\n    //if(targetIndex < currentStoryList.length) {\n    dragTiddler = muuriParentWidget[0].children[targetIndex].variables.currentTiddler;\n//console.log(\"dragTiddler: \" + dragTiddler.value);\n    storyListIndex = currentStoryList.indexOf(dragTiddler.value);\n//} else {\n    /*currentStoryList = $tw.wiki.getTiddlerList(\"$:/StoryList\");\nfor (var i=0; i<items.length; i++) {\nvar checkItem = items[i]._element;\nfor (var t=0; t<items.length; t++) {\n     if(items[t]._element.innerHTML == checkItem.innerHTML && t != i) {\n    console.log(\"they are the same\");\n    items[t] = items[i];\n    console.log(items[i]._element.innerHTML);\n    grid.remove(items[i], {removeElements: true});\n}\n}\n//console.log(items[i]._element.innerHTML);\n}\n    grid.refreshItems();\n    items = grid.getItems();\n    item = drag.getItem();\n    element = item._element;\n    release = item._release;\n    migrate = item._migrate;\n    currentLeft = getTranslateAsFloat(element, 'x');\n    currentTop = getTranslateAsFloat(element, 'y');\n    elementRect = element.getBoundingClientRect();\n    currentIndex = items.indexOf(item);\n    targetIndex = normalizeArrayIndex(items, currentIndex);\nconsole.log(\"currentIndex: \" + currentIndex + \" targetIndex: \" + targetIndex);\n    if(targetIndex < currentStoryList.length) {\n    dragTiddler = muuriParentWidget[0].children[targetIndex].variables.currentTiddler;\nconsole.log(\"dragTiddler: \" + dragTiddler.value);\n    storyListIndex = currentStoryList.indexOf(dragTiddler.value);\n    console.log(\"HAPPENED\");\n}\n    console.log(\"HAPPENED\");\n}*/\n    }\n\n    // Stop current positioning animation.\n    if (item.isPositioning()) {\n      item._stopLayout(true, {transform: getTranslateString(currentLeft, currentTop)});\n    }\n\n    // Stop current migration animation.\n    if (migrate.isActive) {\n      currentLeft -= migrate.containerDiffX;\n      currentTop -= migrate.containerDiffY;\n      migrate.stop(true, {transform: getTranslateString(currentLeft, currentTop)});\n    }\n\n    // If item is being released reset release data.\n    if (item.isReleasing()) {\n      release.reset();\n    }\n\n    // Setup drag data.\n    dragData.isActive = true;\n    dragData.startEvent = dragData.currentEvent = event;\n    dragData.container = dragContainer;\n    dragData.containingBlock = containingBlock;\n    dragData.elementClientX = elementRect.left;\n    dragData.elementClientY = elementRect.top;\n    dragData.left = dragData.gridX = currentLeft;\n    dragData.top = dragData.gridY = currentTop;\n\n    // Emit dragInit event.\n    grid._emit(evDragInit, item, event);\n\n    // If a specific drag container is set and it is different from the\n    // grid's container element we need to cast some extra spells.\n    if (dragContainer !== gridContainer) {\n\n      // Store the container offset diffs to drag data.\n      dragData.containerDiffX = offsetDiff.left;\n      dragData.containerDiffY = offsetDiff.top;\n\n      // If the dragged element is a child of the drag container all we need to\n      // do is setup the relative drag position data.\n      if (element.parentNode === dragContainer) {\n        dragData.gridX = currentLeft - dragData.containerDiffX;\n        dragData.gridY = currentTop - dragData.containerDiffY;\n      }\n\n      // Otherwise we need to append the element inside the correct container,\n      // setup the actual drag position data and adjust the element's translate\n      // values to account for the DOM position shift.\n      else {\n        dragData.left = currentLeft + dragData.containerDiffX;\n        dragData.top = currentTop + dragData.containerDiffY;\n        dragContainer.appendChild(element);\n        setStyles(element, {transform: getTranslateString(dragData.left, dragData.top)});\n      }\n\n    }\n\n    // Set drag class and bind scrollers.\n    addClass(element, settings.itemDraggingClass);\n    drag.bindScrollListeners();\n\n    // Emit dragStart event.\n    grid._emit(evDragStart, item, event);\n\n    return drag;\n\n  };\n\n  ItemDrag.prototype.onPinchStart = function (event) {\n\n    var drag = this;\n    var item = drag.getItem();\n\n    // If item is not active, don't start the drag.\n    if (!item._isActive) {\n      return drag;\n    }\n\n    var element = item._element;\n    var grid = drag.getGrid();\n    var settings = grid._settings;\n    var dragData = drag._data;\n    var release = item._release;\n    var migrate = item._migrate;\n    var gridContainer = grid._element;\n    var dragContainer = settings.dragContainer || gridContainer;\n    var containingBlock = getContainingBlock(dragContainer, true);\n    var offsetDiff = dragContainer !== gridContainer ? getOffsetDiff(containingBlock, gridContainer) : 0;\n    var currentLeft = getTranslateAsFloat(element, 'x');\n    var currentTop = getTranslateAsFloat(element, 'y');\n    var elementRect = element.getBoundingClientRect();\n    var elementRectCalc = window.getComputedStyle(element,null).getPropertyValue(\"left\");\n\n    // Stop current positioning animation.\n    if (item.isPositioning()) {\n      item._stopLayout(true, {transform: getTranslateString(currentLeft, currentTop)});\n    }\n\n    // Stop current migration animation.\n    if (migrate.isActive) {\n      currentLeft -= migrate.containerDiffX;\n      currentTop -= migrate.containerDiffY;\n      migrate.stop(true, {transform: getTranslateString(currentLeft, currentTop)});\n    }\n\n    // If item is being released reset release data.\n    if (item.isReleasing()) {\n      release.reset();\n    }\n\n    // Setup drag data.\n    dragData.isActive = true;\n    dragData.startEvent = dragData.currentEvent = event;\n    dragData.container = dragContainer;\n    dragData.containingBlock = containingBlock;\n    dragData.elementClientX = elementRect.left;\n    dragData.elementClientY = elementRect.top;\n    dragData.left = dragData.gridX = currentLeft;\n    dragData.top = dragData.gridY = currentTop;\n\n    // Emit dragInit event.\n    grid._emit(evDragInit, item, event);\n\n    // If a specific drag container is set and it is different from the\n    // grid's container element we need to cast some extra spells.\n    if (dragContainer !== gridContainer) {\n\n      // Store the container offset diffs to drag data.\n      dragData.containerDiffX = offsetDiff.left;\n      dragData.containerDiffY = offsetDiff.top;\n\n      // If the dragged element is a child of the drag container all we need to\n      // do is setup the relative drag position data.\n      if (element.parentNode === dragContainer) {\n        dragData.gridX = currentLeft - dragData.containerDiffX;\n        dragData.gridY = currentTop - dragData.containerDiffY;\n      }\n\n      // Otherwise we need to append the element inside the correct container,\n      // setup the actual drag position data and adjust the element's translate\n      // values to account for the DOM position shift.\n      else {\n        dragData.left = currentLeft + dragData.containerDiffX;\n        dragData.top = currentTop + dragData.containerDiffY;\n        dragContainer.appendChild(element);\n        setStyles(element, {transform: getTranslateString(dragData.left, dragData.top)});\n      }\n\n    }\n\n    // Set drag class and bind scrollers.\n    addClass(element, settings.itemDraggingClass);\n    drag.bindScrollListeners();\n\n    // Emit dragStart event.\n    grid._emit(evDragStart, item, event);\n\n    return drag;\n\n  };\n\n\n  /**\n   * Drag move handler.\n   *\n   * @public\n   * @memberof ItemDrag.prototype\n   * @param {Object} event\n   * @returns {ItemDrag}\n   */\n  ItemDrag.prototype.onMove = function (event) {\n\n    var drag = this;\n    var item = drag.getItem();\n\n    // If item is not active, reset drag.\n    if (!item._isActive) {\n      return drag.stop();\n    }\n\n    var element = item._element;\n    var grid = drag.getGrid();\n    var settings = grid._settings;\n    var dragData = drag._data;\n    var axis = settings.dragAxis;\n    var xDiff = event.deltaX - dragData.currentEvent.deltaX;\n    var yDiff = event.deltaY - dragData.currentEvent.deltaY;\n\n    rafLoop.add(rafQueueMove, item._id, function () {\n\n      // Update current event.\n      dragData.currentEvent = event;\n\n      // Update horizontal position data.\n      if (axis !== 'y') {\n        dragData.left += xDiff;\n        dragData.gridX += xDiff;\n        dragData.elementClientX += xDiff;\n      }\n\n      // Update vertical position data.\n      if (axis !== 'x') {\n        dragData.top += yDiff;\n        dragData.gridY += yDiff;\n        dragData.elementClientY += yDiff;\n      }\n\n      // Overlap handling.\n      settings.dragSort && drag._checkSortOverlap();\n\n    }, function () {\n\n      // Update element's translateX/Y values.\n      setStyles(element, {transform: getTranslateString(dragData.left, dragData.top)});\n\n      // Emit dragMove event.\n      grid._emit(evDragMove, item, event);\n\n    });\n\n    return drag;\n\n  };\n\n\nfunction getComputedRotation(obj)\n{\n    if(!window.getComputedStyle) return;\n    var style = getComputedStyle(obj);\n\nvar tr = style.getPropertyValue(\"-webkit-transform\") ||\n         style.getPropertyValue(\"-moz-transform\") ||\n         style.getPropertyValue(\"-ms-transform\") ||\n         style.getPropertyValue(\"-o-transform\") ||\n         style.getPropertyValue(\"transform\") ||\n         \"FAIL\";\nvar values = tr.split('(')[1].split(')')[0].split(',');\nvar a = values[0];\nvar b = values[1];\nvar angle = Math.round(Math.atan2(b, a) * (180/Math.PI));\n\n\n   return angle;\n}\n\n\nfunction getComputedScale(obj)\n{\n    if(!window.getComputedStyle) return;\n    var style = getComputedStyle(obj);\n\nvar tr = style.getPropertyValue(\"-webkit-transform\") ||\n         style.getPropertyValue(\"-moz-transform\") ||\n         style.getPropertyValue(\"-ms-transform\") ||\n         style.getPropertyValue(\"-o-transform\") ||\n         style.getPropertyValue(\"transform\") ||\n         \"FAIL\";\nvar values = tr.split('(')[1].split(')')[0].split(',');\nvar a = values[0];\nvar b = values[1];\nvar scale = Math.sqrt(a*a + b*b);\n    return scale;\n}\n\nfunction getComputedTranslateX(obj)\n{\n    if(!window.getComputedStyle) return;\n    var style = obj.currentStyle || getComputedStyle(obj),\n        transform = style.transform || style.webkitTransform || style.mozTransform;\n    var mat = transform.match(/^matrix3d\\((.+)\\)$/);\n    if(mat) return parseFloat(mat[1].split(', ')[13]);\n    mat = transform.match(/^matrix\\((.+)\\)$/);\n    return mat ? parseFloat(mat[1].split(', ')[4]) : 0;\n}\n\nfunction getComputedTranslateY(obj)\n{\n    if(!window.getComputedStyle) return;\n    var style = obj.currentStyle || getComputedStyle(obj),\n        transform = style.transform || style.webkitTransform || style.mozTransform;\n    var mat = transform.match(/^matrix3d\\((.+)\\)$/);\n    if(mat) return parseFloat(mat[1].split(', ')[13]);\n    mat = transform.match(/^matrix\\((.+)\\)$/);\n    return mat ? parseFloat(mat[1].split(', ')[5]) : 0;\n}\n\n\n  ItemDrag.prototype.onPinch = function (event) {\n\n    var pinch = this;\n    var item = pinch.getItem();\n\n    // If item is not active, reset drag.\n    if (!item._isActive) {\n      return pinch.stop();\n    }\n\n    var element = item._element;\n    var pinchData = pinch._data;\n    var grid = pinch.getGrid();\n    var items = grid.getItems();\n\n    var itemIndex;\n    var tiddlerTitle;\n\n    for (var i=0; i < items.length; i++) {\n      if (items[i] === item) {\n        itemIndex = i;\n      }\n    }\n\n    var muuriParentWidget = grid._settings.muuriParentWidget;\n    if (itemIndex !== undefined) {\n     var tiddlerName = muuriParentWidget[0].children[itemIndex].variables.currentTiddler;\n    tiddlerTitle = tiddlerName.value;\n    }\n    \n    \nconst { styler, listen, multitouch, value } = window.popmotion;\nlet divStyler = styler(element);\n\nlet itemTranslateX = getComputedTranslateX(element);\nlet itemTranslateY = getComputedTranslateY(element);\nlet itemScale = getComputedScale(element);\n\nlet itemWidth = window.getComputedStyle(element,null).getPropertyValue(\"width\");\nlet itemHeight = window.getComputedStyle(element,null).getPropertyValue(\"height\");\n\nvar itemRealWidth = parseInt(itemWidth, 10);\nvar itemRealHeight = parseInt(itemHeight, 10);\nvar itemRotation = getComputedRotation(element); //Burning\n\nvar itemWidthComputed = (itemRealWidth * itemScale);\nvar itemHeightComputed = (itemRealHeight * itemScale);\n          \nlet elementScaleRotation = value({ x: itemTranslateX, y: itemTranslateY }, divStyler.set);\n\n\nlisten(element, 'touchstart', { passive: true })\n  .filter(({ touches }) => touches.length >= 2)\n  .start((e) => {\n     multitouch(elementScaleRotation.get())\n     .start(elementScaleRotation);\n});\n\n\nvar storyWidth = Math.max(document.documentElement.clientWidth, window.innerWidth || 0);\n    var storyWidth5 = ((storyWidth - 82) / 5);\n    var storyWidth4 = ((storyWidth - 82) / 4);\n    var storyWidth3 = ((storyWidth - 82) / 3);\n    var storyWidth2 = ((storyWidth - 82) / 2);\n    var storyWidth1 = (storyWidth - 82);\n    var storyWidth6 = (storyWidth2 + storyWidth3);\nvar setTextOptions = { suppressTimestamp: true };\nvar field = \"span\";\nvar spanValue;\n\n    var tiddlyTiddler = $tw.wiki.getTiddler(tiddlerTitle);\nvar fixedWidth = tiddlyTiddler.fields[\"muuri-tiddler-width\"];\n\nlisten(document, 'mouseup touchend')\n  .start(() => {\n  if (fixedWidth === undefined || fixedWidth === \"0\") {\n    if ( itemWidthComputed >= (storyWidth6 + ((storyWidth1 - storyWidth6) / 2))) {\n        addClass(element, \"span-12\");\n        addClass(element, \"tc-dynaview-zoom-factor-4\");\n        spanValue = 12;\n        removeClass(element, \"span-6\");\n        removeClass(element, \"span-3\");\n        removeClass(element, \"span-2\");\n        removeClass(element, \"span-9\");\n        removeClass(element, \"span-4\");\n       removeClass(element, \"tc-dynaview-zoom-factor-1\");\n       removeClass(element, \"tc-dynaview-zoom-factor-2\");\n       removeClass(element, \"tc-dynaview-zoom-factor-3\");\n      /*if (tiddlerTitle !== undefined) {\n        $tw.wiki.setText(tiddlerTitle, field, undefined, spanValue + \"\", setTextOptions);\n        grid.remove(element);\n      }*/\n    } else if ((storyWidth6 + ((storyWidth1 - storyWidth6) / 2)) >= itemWidthComputed && itemWidthComputed >= (storyWidth2 + ((storyWidth6 - storyWidth2) / 3))) {\n        addClass(element, \"span-9\");\n        addClass(element, \"tc-dynaview-zoom-factor-4\");\n        spanValue = 9;\n        removeClass(element, \"span-6\");\n        removeClass(element, \"span-3\");\n        removeClass(element, \"span-2\");\n        removeClass(element, \"span-12\");\n        removeClass(element, \"span-4\");\n       removeClass(element, \"tc-dynaview-zoom-factor-1\");\n       removeClass(element, \"tc-dynaview-zoom-factor-2\");\n       removeClass(element, \"tc-dynaview-zoom-factor-3\");\n      /*if (tiddlerTitle !== undefined) {\n        $tw.wiki.setText(tiddlerTitle, field, undefined, spanValue + \"\", setTextOptions);\n        grid.remove(element);\n      }*/\n    } else if ((storyWidth2 + ((storyWidth6 - storyWidth2) / 2)) >= itemWidthComputed && itemWidthComputed >= (storyWidth3 + ((storyWidth2 - storyWidth3) / 3))) {\n        addClass(element, \"span-6\");\n        addClass(element, \"tc-dynaview-zoom-factor-3\");\n        spanValue = 6;\n        removeClass(element, \"span-12\");\n        removeClass(element, \"span-3\");\n        removeClass(element, \"span-2\");\n        removeClass(element, \"span-9\");\n        removeClass(element, \"span-4\");\n       removeClass(element, \"tc-dynaview-zoom-factor-1\");\n       removeClass(element, \"tc-dynaview-zoom-factor-2\");\n       removeClass(element, \"tc-dynaview-zoom-factor-4\");\n      /*if (tiddlerTitle !== undefined) {\n        $tw.wiki.setText(tiddlerTitle, field, undefined, spanValue + \"\", setTextOptions);\n        grid.remove(element);\n      }*/\n    } else if ((storyWidth3 + ((storyWidth2 - storyWidth3) / 3)) >= itemWidthComputed && itemWidthComputed >= (storyWidth4 + ((storyWidth3 - storyWidth4) / 3))) {\n        addClass(element, \"span-4\");\n        addClass(element, \"tc-dynaview-zoom-factor-2\");\n        spanValue = 4;\n        removeClass(element, \"span-12\");\n        removeClass(element, \"span-6\");\n        removeClass(element, \"span-2\");\n        removeClass(element, \"span-9\");\n        removeClass(element, \"span-3\");\n       removeClass(element, \"tc-dynaview-zoom-factor-1\");\n       removeClass(element, \"tc-dynaview-zoom-factor-4\");\n       removeClass(element, \"tc-dynaview-zoom-factor-3\");\n      /*if (tiddlerTitle !== undefined) {\n        $tw.wiki.setText(tiddlerTitle, field, undefined, spanValue + \"\", setTextOptions);\n        grid.remove(element);\n      }*/\n    } else if ((storyWidth4 + ((storyWidth3 - storyWidth4) / 3)) >= itemWidthComputed && itemWidthComputed >= (storyWidth5 + ((storyWidth4 - storyWidth5) / 3))) {\n        addClass(element, \"span-3\");\n        addClass(element, \"tc-dynaview-zoom-factor-1\");\n        spanValue = 3;\n        removeClass(element, \"span-12\");\n        removeClass(element, \"span-6\");\n        removeClass(element, \"span-2\");\n        removeClass(element, \"span-9\");\n        removeClass(element, \"span-4\");\n       removeClass(element, \"tc-dynaview-zoom-factor-4\");\n       removeClass(element, \"tc-dynaview-zoom-factor-2\");\n       removeClass(element, \"tc-dynaview-zoom-factor-3\");\n      /*if (tiddlerTitle !== undefined) {\n        $tw.wiki.setText(tiddlerTitle, field, undefined, spanValue + \"\", setTextOptions);\n        grid.remove(element);\n      }*/\n    } else if ((storyWidth5 + (storyWidth4 - storyWidth5) / 3) >= itemWidthComputed) {\n        addClass(element, \"span-2\");\n        addClass(element, \"tc-dynaview-zoom-factor-1\");\n        spanValue = 2;\n        removeClass(element, \"span-12\");\n        removeClass(element, \"span-6\");\n        removeClass(element, \"span-3\");\n        removeClass(element, \"span-9\");\n        removeClass(element, \"span-4\");\n       removeClass(element, \"tc-dynaview-zoom-factor-4\");\n       removeClass(element, \"tc-dynaview-zoom-factor-2\");\n       removeClass(element, \"tc-dynaview-zoom-factor-3\");\n      /*if (tiddlerTitle !== undefined) {\n        $tw.wiki.setText(tiddlerTitle, field, undefined, spanValue + \"\", setTextOptions);\n        grid.remove(element);\n      }*/\n    }\n  }\n    elementScaleRotation.stop();\n  });\n\n      // Overlap handling.\n\n      setStyles(element, { transform: getTranslateStringTransformed(itemTranslateX, itemTranslateY)});\n\n    return pinch;\n  };\n\n  /**\n   * Drag scroll handler.\n   *\n   * @public\n   * @memberof ItemDrag.prototype\n   * @param {Object} event\n   * @returns {ItemDrag}\n   */\n  ItemDrag.prototype.onScroll = function (event) {\n\n    var drag = this;\n    var item = drag.getItem();\n    var element = item._element;\n    var grid = drag.getGrid();\n    var settings = grid._settings;\n    var axis = settings.dragAxis;\n    var dragData = drag._data;\n    var gridContainer = grid._element;\n    var elementRect;\n    var xDiff;\n    var yDiff;\n    var offsetDiff;\n\n    rafLoop.add(rafQueueScroll, item._id, function () {\n\n      // Calculate element's rect and x/y diff.\n      elementRect = element.getBoundingClientRect();\n      xDiff = dragData.elementClientX - elementRect.left;\n      yDiff = dragData.elementClientY - elementRect.top;\n\n      // Update container diff.\n      if (dragData.container !== gridContainer) {\n        offsetDiff = getOffsetDiff(dragData.containingBlock, gridContainer);\n        dragData.containerDiffX = offsetDiff.left;\n        dragData.containerDiffY = offsetDiff.top;\n      }\n\n      // Update horizontal position data.\n      if (axis !== 'y') {\n        dragData.left += xDiff;\n        dragData.gridX = dragData.left - dragData.containerDiffX;\n      }\n\n      // Update vertical position data.\n      if (axis !== 'x') {\n        dragData.top += yDiff;\n        dragData.gridY = dragData.top - dragData.containerDiffY;\n      }\n\n      // Overlap handling.\n      settings.dragSort && drag._checkSortOverlap();\n\n    }, function () {\n\n      // Update element's translateX/Y values.\n      setStyles(element, {transform: getTranslateString(dragData.left, dragData.top)});\n\n      // Emit dragScroll event.\n      grid._emit(evDragScroll, item, event);\n\n    });\n\n    return drag;\n\n  };\n\n  ItemDrag.prototype.onMouseUp = function (event) {\n\n    var drag = this;\n    var item = drag.getItem();\n    var element = item._element;\n    var grid = drag.getGrid();\n    var settings = grid._settings;\n    var dragData = drag._data;\n    var release = item._release;\n\n    // If item is not active, reset drag.\n    if (!item._isActive) {\n      return drag.stop();\n    }\n\n    // Cancel raf loop actions.\n    drag.cancelRafLoop();\n\n    // Finish currently queued overlap check.\n    settings.dragSort && drag._checkSortOverlap('finish');\n\n    // Remove scroll listeners.\n    drag.unbindScrollListeners();\n\n    // Setup release data.\n    release.containerDiffX = dragData.containerDiffX;\n    release.containerDiffY = dragData.containerDiffY;\n\n    // Reset drag data.\n    drag.reset();\n\n    // Remove drag classname from element.\n    removeClass(element, settings.itemDraggingClass);\n\n    // Emit dragEnd event.\n    grid._emit(evDragEnd, item, event);\n\n    // Finish up the migration process or start the release process.\n    drag._isMigrating ? drag.finishMigration() : release.start();\n\n    return drag;\n\n  };\n\n  /**\n   * Drag end handler.\n   *\n   * @public\n   * @memberof ItemDrag.prototype\n   * @param {Object} event\n   * @returns {ItemDrag}\n   */\n  ItemDrag.prototype.onEnd = function (event) {\n\n    var drag = this;\n    var item = drag.getItem();\n    var element = item._element;\n    var grid = drag.getGrid();\n    var settings = grid._settings;\n    var dragData = drag._data;\n    var release = item._release;\n    var result = drag._sortPredicate(item, drag._data.currentEvent);\n    var targetsAreTiddlers = grid._settings.targetsAreTiddlers;\n    var muuriListTiddler = grid._settings.muuriListTiddler;\n\n    var itemCopy = item;\n\n\n    var currentGrid;\n    var currentIndex;\n    var targetGrid;\n    var targetIndex;\n    var isMigration;\n\n    // Let's make sure the result object has a valid index before going further.\n   /* if (!isPlainObject(result) || typeof result.index !== typeNumber) {\n      return drag;\n    }*/\n\n    currentGrid = item.getGrid();\n    targetGrid = result.grid || currentGrid;\n    isMigration = currentGrid !== targetGrid;\n    currentIndex = currentGrid._items.indexOf(item);\n    targetIndex = normalizeArrayIndex(targetGrid._items, result.index, isMigration);\n\n    var gridItems = currentGrid.getItems();\n    var dragElement = gridItems[currentIndex].getElement();\n    var targetElement;\n\n    // If item is not active, reset drag.\n    if (!item._isActive) {\n      return drag.stop();\n    }\n\n    // Cancel raf loop actions.\n    drag.cancelRafLoop();\n\n    // Finish currently queued overlap check.\n    settings.dragSort && drag._checkSortOverlap('finish');\n\n    // Remove scroll listeners.\n    drag.unbindScrollListeners();\n\n    // Setup release data.\n    release.containerDiffX = dragData.containerDiffX;\n    release.containerDiffY = dragData.containerDiffY;\n\n    // Reset drag data.\n    drag.reset();\n\n    // Remove drag classname from element.\n    removeClass(element, settings.itemDraggingClass);\n\n    // Emit dragEnd event.\n    grid._emit(evDragEnd, item, event);\n\n    // Finish up the migration process or start the release process.\n    drag._isMigrating ? drag.finishMigration() : release.start();\n\n      var items = grid.getItems();\n      var gridIndex = items.indexOf(item);\n\nif(targetsAreTiddlers !== false && storyListIndex != gridIndex && gridIndex !== -1 && currentGrid === targetGrid) {\n    var storyList = $tw.wiki.getTiddlerList(\"$:/StoryList\");\n    var isSwap = settings.dragSortPredicate.action;\nif (isSwap === \"move\") {\nstoryList.splice(gridIndex, 0, storyList.splice(storyListIndex, 1)[0]);\n} else if (isSwap === \"swap\") {\n\n    // Swap the items.\n      var temp = storyList[storyListIndex];\n      storyList[storyListIndex] = storyList[gridIndex];\n      storyList[gridIndex] = temp;\n}\n    var setTextOptions = { suppressTimestamp: true };\n$tw.wiki.setText(\"$:/StoryList\", \"list\", undefined, storyList, setTextOptions);\n\n} \n    \n          if (muuriListTiddler !== undefined) {\n            var muuriItems = grid.getItems();\n      var currentMuuriList = $tw.wiki.getTiddlerList(muuriListTiddler,\"muuri-list\", undefined);\n      var newMuuriList = currentMuuriList;\n            var listOptions = { suppressTimestamp: true };\n        \n            for (var m=0; m < muuriItems.length; m++) {\n              var muuriElement = muuriItems[m].getElement();\n              var id = muuriElement.getAttribute(\"id\");\n\n              newMuuriList[m] = id.toString();\n            }\n            \n            var field = \"muuri-list\";\n\n            var newMuuriListTiddler = muuriListTiddler.replace(/\\r?\\n|\\r/g, \"\").replace(/\\s+$/g,'');\n\n            var newMuuriListJoined = newMuuriList.join(' ');\n      \n      $tw.wiki.setText(newMuuriListTiddler, field, undefined, newMuuriListJoined, listOptions);\n      }\n\n    return drag;\n\n  };\n\n  ItemDrag.prototype.onPinchEnd = function (event) {\n\n    var pinch = this;\n    var item = pinch.getItem();\n    var element = item._element;\n    var grid = pinch.getGrid();\n    var settings = grid._settings;\n    var pinchData = pinch._data;\n    var release = item._release;\n\n    // If item is not active, reset drag.\n    if (!item._isActive) {\n      return pinch.stop();\n    }\n\n    // Cancel raf loop actions.\n    pinch.cancelRafLoop();\n\n    // Finish currently queued overlap check.\n    settings.dragSort && pinch._checkSortOverlap('finish');\n\n    // Remove scroll listeners.\n    pinch.unbindScrollListeners();\n\n    // Setup release data.\n    release.containerDiffX = pinchData.containerDiffX;\n    release.containerDiffY = pinchData.containerDiffY;\n\n    // Reset drag data.\n    pinch.reset();\n\n    // Remove drag classname from element.\n    removeClass(element, settings.itemDraggingClass);\n\n    // Emit dragEnd event.\n    grid._emit(evDragEnd, item, event);\n\n    // Finish up the migration process or start the release process.\n    pinch._isMigrating ? pinch.finishMigration() : release.start();\n\n    return pinch;\n\n  };\n\n\n  /**\n   * Helpers - Generic\n   * *****************\n   */\n\n  /**\n   * Normalize array index. Basically this function makes sure that the provided\n   * array index is within the bounds of the provided array and also transforms\n   * negative index to the matching positive index.\n   *\n   * @private\n   * @param {Array} array\n   * @param {Number} index\n   * @param {Boolean} isMigration\n   */\n  function normalizeArrayIndex(array, index, isMigration) {\n\n    var length = array.length;\n    var maxIndex = Math.max(0, isMigration ? length : length - 1);\n\n    return index > maxIndex ? maxIndex :\n      index < 0 ? Math.max(maxIndex + index + 1, 0) :\n      index;\n\n  }\n\n  /**\n   * Swap array items.\n   *\n   * @private\n   * @param {Array} array\n   * @param {Number} index\n   *   - Index (positive or negative) of the item that will be swapped.\n   * @param {Number} withIndex\n   *   - Index (positive or negative) of the other item that will be swapped.\n   */\n  function arraySwap(array, index, withIndex) {\n\n    // Make sure the array has two or more items.\n    if (array.length < 2) {\n      return;\n    }\n\n    // Normalize the indices.\n    var indexA = normalizeArrayIndex(array, index);\n    var indexB = normalizeArrayIndex(array, withIndex);\n    var temp;\n\n    // Swap the items.\n    if (indexA !== indexB) {\n      temp = array[indexA];\n      array[indexA] = array[indexB];\n      array[indexB] = temp;\n    }\n\n  }\n\n  /**\n   * Move array item to another index.\n   *\n   * @private\n   * @param {Array} array\n   * @param {Number} fromIndex\n   *   - Index (positive or negative) of the item that will be moved.\n   * @param {Number} toIndex\n   *   - Index (positive or negative) where the item should be moved to.\n   */\n  function arrayMove(array, fromIndex, toIndex) {\n\n    // Make sure the array has two or more items.\n    if (array.length < 2) {\n      return;\n    }\n\n    // Normalize the indices.\n    var from = normalizeArrayIndex(array, fromIndex);\n    var to = normalizeArrayIndex(array, toIndex);\n\n    // Add target item to the new position.\n    if (from !== to) {\n      array.splice(to, 0, array.splice(from, 1)[0]);\n    }\n\n  }\n\n  /**\n   * Returns a new duplicate free version of the provided array.\n   *\n   * @private\n   * @param {Array} array\n   * @returns {Array}\n   */\n  function arrayUnique(array) {\n\n    var ret = [];\n    var len = array.length;\n    var i;\n\n    if (len) {\n      ret[0] = array[0];\n      for (i = 1; i < len; i++) {\n        if (ret.indexOf(array[i]) < 0) {\n          ret.push(array[i]);\n        }\n      }\n    }\n\n    return ret;\n\n  }\n\n  /**\n   * Check if a value is a plain object.\n   *\n   * @private\n   * @param {*} val\n   * @returns {Boolean}\n   */\n  function isPlainObject(val) {\n\n    return typeof val === 'object' && Object.prototype.toString.call(val) === '[object Object]';\n\n  }\n\n  /**\n   * Check if a value is a node list\n   *\n   * @private\n   * @param {*} val\n   * @returns {Boolean}\n   */\n  function isNodeList(val) {\n\n    var type = Object.prototype.toString.call(val);\n    return type === '[object HTMLCollection]' || type === '[object NodeList]';\n\n  }\n\n  /**\n   * Merge two objects recursively (deep merge). The source object's properties\n   * are merged to the target object.\n   *\n   * @private\n   * @param {Object} target\n   *   - The target object.\n   * @param {Object} source\n   *   - The source object.\n   * @returns {Object} Returns the target object.\n   */\n  function mergeObjects(target, source) {\n\n    // Loop through the surce object's props.\n    Object.keys(source).forEach(function (propName) {\n\n      var isObject = isPlainObject(source[propName]);\n\n      // If target and source values are both objects, merge the objects and\n      // assign the merged value to the target property.\n      if (isPlainObject(target[propName]) && isObject) {\n        target[propName] = mergeObjects({}, target[propName]);\n        target[propName] = mergeObjects(target[propName], source[propName]);\n      }\n\n      // Otherwise set the source object's value to target object and make sure\n      // that object and array values are cloned and directly assigned.\n      else {\n        target[propName] = isObject ? mergeObjects({}, source[propName]) :\n          Array.isArray(source[propName]) ? source[propName].concat() :\n          source[propName];\n      }\n\n    });\n\n    return target;\n\n  }\n\n  /**\n   * Insert an item or an array of items to array to a specified index. Mutates\n   * the array. The index can be negative in which case the items will be added\n   * to the end of the array.\n   *\n   * @private\n   * @param {Array} array\n   * @param {*} items\n   * @param {Number} [index=-1]\n   */\n  function insertItemsToArray(array, items, index) {\n\n    var targetIndex = typeof index === typeNumber ? index : -1;\n    array.splice.apply(array, [targetIndex < 0 ? array.length - targetIndex + 1 : targetIndex, 0].concat(items));\n\n  }\n\n  /**\n   * Returns a function, that, as long as it continues to be invoked, will not\n   * be triggered. The function will be called after it stops being called for\n   * N milliseconds. The returned function accepts one argument which, when\n   * being \"finish\", calls the debounced function immediately if it is currently\n   * waiting to be called, and when being \"cancel\" cancels the currently queued\n   * function call.\n   *\n   * @private\n   * @param {Function} fn\n   * @param {Number} wait\n   * @returns {Function}\n   */\n  function debounce(fn, wait) {\n\n    var timeout;\n    var actionCancel = 'cancel';\n    var actionFinish = 'finish';\n\n    return wait > 0 ? function (action) {\n\n      if (timeout !== undefined) {\n        timeout = global.clearTimeout(timeout);\n        if (action === actionFinish) {\n          fn();\n        }\n      }\n\n      if (action !== actionCancel && action !== actionFinish) {\n        timeout = global.setTimeout(function () {\n          timeout = undefined;\n          fn();\n        }, wait);\n      }\n\n    } : function (action) {\n\n      if (action !== actionCancel) {\n        fn();\n      }\n\n    };\n\n  }\n\n  /**\n   * Returns a raf loop queue system that allows pushing callbacks to either\n   * the read queue or the write queue.\n   *\n   * @private\n   * @returns {Object}\n   */\n  function createRafLoop() {\n\n    var nextTick = null;\n    var queue = [];\n    var map = {};\n    var raf = (global.requestAnimationFrame\n      || global.webkitRequestAnimationFrame\n      || global.mozRequestAnimationFrame\n      || global.msRequestAnimationFrame\n      || function (cb) {\n        return global.setTimeout(cb, 16);\n      }\n    ).bind(global);\n\n    function add(type, id, readCallback, writeCallback) {\n\n      // First, let's check if an item has been added to the queues with the\n      // same id and remove it.\n      var currentIndex = queue.indexOf(type + id);\n      if (currentIndex > -1) {\n        queue.splice(currentIndex, 1);\n      }\n\n      // Add all move/scroll event callbacks to the beginning of the queue\n      // and other callbacks to the end of the queue.\n      type === rafQueueMove || type === rafQueueScroll ? queue.unshift(type + id) : queue.push(type + id);\n      map[type + id] = [readCallback, writeCallback];\n\n      // Finally, let's kickstart the next tick if it is not running yet.\n      !nextTick && (nextTick = raf(flush));\n\n    }\n\n    function cancel(type, id) {\n\n      // Let's check if an item has been added to the queue with the id and\n      // if so -> remove it.\n      var currentIndex = queue.indexOf(type + id);\n      if (currentIndex > -1) {\n        queue.splice(currentIndex, 1);\n        map[type + id] = undefined;\n      }\n\n    }\n\n    function flush() {\n\n      var maxBatchSize = +Grid._maxRafBatchSize || 100;\n      var batch = queue.splice(0, Math.min(maxBatchSize, queue.length));\n      var batchMap = {};\n      var i;\n\n      // Reset ticker.\n      nextTick = null;\n\n      // Create batch map and clear map items.\n      for (i = 0; i < batch.length; i++) {\n        batchMap[batch[i]] = map[batch[i]];\n        map[batch[i]] = undefined;\n      }\n\n      // Process read callbacks.\n      for (i = 0; i < batch.length; i++) {\n        batchMap[batch[i]][0]();\n      }\n\n      // Process write callbacks.\n      for (i = 0; i < batch.length; i++) {\n        batchMap[batch[i]][1]();\n      }\n\n      // Restart the ticker if needed.\n      if (!nextTick && queue.length) {\n        nextTick = raf(flush);\n      }\n\n    }\n\n    return {\n      add: add,\n      cancel: cancel\n    };\n\n  }\n\n  /**\n   * Helpers - DOM utils\n   * *******************\n   */\n\n  /**\n   * Transforms a camel case style property to kebab case style property.\n   *\n   * @private\n   * @param {String} string\n   * @returns {String}\n   */\n  function getStyleName(string) {\n\n    return string.replace(/([A-Z])/g, '-$1').toLowerCase();\n\n  }\n\n  /**\n   * Returns the computed value of an element's style property as a string.\n   *\n   * @private\n   * @param {HTMLElement} element\n   * @param {String} style\n   * @returns {String}\n   */\n  function getStyle(element, style) {\n\n    return global.getComputedStyle(element, null).getPropertyValue(style === 'transform' ? transform.styleName || style : style);\n\n  }\n\n  /**\n   * Returns the computed value of an element's style property transformed into\n   * a float value.\n   *\n   * @private\n   * @param {HTMLElement} el\n   * @param {String} style\n   * @returns {Number}\n   */\n  function getStyleAsFloat(el, style) {\n\n    return parseFloat(getStyle(el, style)) || 0;\n\n  }\n\n  /**\n   * Returns the element's computed translateX/Y value as a float. Assumes that\n   * the translate value is defined as pixels.\n   *\n   * @private\n   * @param {HTMLElement} element\n   * @param {String} axis\n   *   - \"x\" or \"y\".\n   * @returns {Number}\n   */\n  function getTranslateAsFloat(element, axis) {\n\n    return parseFloat((getStyle(element, 'transform') || '').replace('matrix(', '').split(',')[axis === 'x' ? 4 : 5]) || 0;\n\n  }\n\n  /**\n   * Transform translateX and translateY value into CSS transform style\n   * property's value.\n   *\n   * @private\n   * @param {Number} translateX\n   * @param {Number} translateY\n   * @returns {String}\n   */\n  function getTranslateString(translateX, translateY) {\n\n    return 'translateX(' + translateX + 'px) translateY(' + translateY + 'px)';\n\n  }\n\n  function getTranslateStringTransformed(translateX, translateY, scale, rotate) {\n\n    return 'translateX(' + translateX + 'px) translateY(' + translateY + 'px) scale(' + scale + ') rotate(' + rotate + 'deg)';\n\n  }\n\n  /**\n   * Get current values of the provided styles definition object.\n   *\n   * @private\n   * @param {HTMLElement} element\n   * @param {Object} styles\n   * @return {Object}\n   */\n  function getCurrentStyles(element, styles) {\n\n    var current = {};\n    var keys = Object.keys(styles);\n    var i;\n\n    for (i = 0; i < keys.length; i++) {\n      current[keys[i]] = getStyle(element, getStyleName(keys[i]));\n    }\n\n    return current;\n\n  }\n\n  /**\n   * Set inline styles to an element.\n   *\n   * @private\n   * @param {HTMLElement} element\n   * @param {Object} styles\n   */\n  function setStyles(element, styles) {\n\n    var props = Object.keys(styles);\n    var i;\n\n    for (i = 0; i < props.length; i++) {\n      element.style[props[i] === 'transform' && transform ? transform.propName : props[i]] = styles[props[i]];\n    }\n\n  }\n\n  /**\n   * Add class to an element.\n   *\n   * @private\n   * @param {HTMLElement} element\n   * @param {String} className\n   */\n  function addClass(element, className) {\n\n    if (element.classList) {\n      element.classList.add(className);\n    }\n    else if (!elementMatches(element, '.' + className)) {\n      element.className += ' ' + className;\n    }\n\n  }\n\n  /**\n   * Remove class name from an element.\n   *\n   * @private\n   * @param {HTMLElement} element\n   * @param {String} className\n   */\n  function removeClass(element, className) {\n\n    if (element.classList) {\n      element.classList.remove(className);\n    }\n    else if (elementMatches(element, '.' + className)) {\n      element.className = (' ' + element.className + ' ').replace(' ' + className + ' ', ' ').trim();\n    }\n\n  }\n\n  /**\n   * Convert nodeList to array.\n   *\n   * @private\n   * @param {NodeList} nodeList\n   * @returns {HTMLElement[]}\n   */\n  function nodeListToArray(nodeList) {\n\n    return [].slice.call(nodeList);\n\n  }\n\n  /**\n   * Checks the supported element.matches() method and returns a function that\n   * can be used to call the supported method.\n   *\n   * @private\n   * @returns {Function}\n   */\n  function getSupportedElementMatches() {\n\n    var p = Element.prototype;\n    var fn = p.matches || p.matchesSelector || p.webkitMatchesSelector || p.mozMatchesSelector || p.msMatchesSelector || p.oMatchesSelector;\n\n    return function (el, selector) {\n      return fn.call(el, selector);\n    };\n\n  }\n\n  /**\n   * Returns the supported style property's prefix, property name and style name\n   * or null if the style property is not supported. This is used for getting\n   * the supported transform.\n   *\n   * @private\n   * @param {String} style\n   * @returns {?Object}\n   */\n  function getSupportedStyle(style) {\n\n    var styleCap = style.charAt(0).toUpperCase() + style.slice(1);\n    var prefixes = ['', 'Webkit', 'Moz', 'O', 'ms'];\n    var prefix;\n    var propName;\n    var i;\n\n    for (i = 0; i < prefixes.length; i++) {\n      prefix = prefixes[i];\n      propName = prefix ? prefix + styleCap : style;\n      if (docElem.style[propName] !== undefined) {\n        prefix = prefix.toLowerCase();\n        return {\n          prefix: prefix,\n          propName: propName,\n          styleName: prefix ? '-' + prefix + '-' + style : style\n        };\n      }\n    }\n\n    return null;\n\n  }\n\n  /**\n   * Calculate the offset difference two elements.\n   *\n   * @private\n   * @param {HTMLElement} elemA\n   * @param {HTMLElement} elemB\n   * @param {Boolean} [compareContainingBlocks=false]\n   *   - When this is set to true the containing blocks of the provided elements\n   *     will be used for calculating the difference. Otherwise the provided\n   *     elements will be compared directly.\n   * @returns {Object}\n   */\n  function getOffsetDiff(elemA, elemB, compareContainingBlocks) {\n\n    if (elemA === elemB) {\n      return {\n        left: 0,\n        top: 0\n      };\n    }\n\n    if (compareContainingBlocks) {\n      elemA = getContainingBlock(elemA, true);\n      elemB = getContainingBlock(elemB, true);\n    }\n\n    var aOffset = getOffset(elemA, true);\n    var bOffset = getOffset(elemB, true);\n\n    return {\n      left: bOffset.left - aOffset.left,\n      top: bOffset.top - aOffset.top\n    };\n\n  }\n\n  /**\n   * Returns the element's document offset, which in practice means the vertical\n   * and horizontal distance between the element's northwest corner and the\n   * document's northwest corner.\n   *\n   * @private\n   * @param {(Document|Element|Window)} element\n   * @param {Boolean} [excludeElementBorders=false]\n   * @returns {Offset}\n   */\n  function getOffset(element, excludeElementBorders) {\n\n    var rect;\n    var ret = {\n      left: 0,\n      top: 0\n    };\n\n    // Document's offsets are always 0.\n    if (element === doc) {\n      return ret;\n    }\n\n    // Add viewport's scroll left/top to the respective offsets.\n    ret.left = global.pageXOffset || 0;\n    ret.top = global.pageYOffset || 0;\n\n    // Window's offsets are the viewport's scroll left/top values.\n    if (element.self === global.self) {\n      return ret;\n    }\n\n    // Add element's client rects to the offsets.\n    rect = element.getBoundingClientRect();\n    ret.left += rect.left;\n    ret.top += rect.top;\n\n    // Exclude element's borders from the offset if needed.\n    if (excludeElementBorders) {\n      ret.left += getStyleAsFloat(element, 'border-left-width');\n      ret.top += getStyleAsFloat(element, 'border-top-width');\n    }\n\n    return ret;\n\n  }\n\n  /**\n   * Returns an aabsolute positioned element's containing block, which is\n   * considered to be the closest ancestor element that the target element's\n   * positioning is relative to. Disclaimer: this only works as intended for\n   * abolute positioned elements.\n   *\n   * @private\n   * @param {HTMLElement} element\n   * @param {Boolean} [isParent=false]\n   *   - When this is set to true the containing block checking is started from\n   *     the provided element. Otherwise the checking is started from the\n   *     provided element's parent element.\n   * @returns {(Document|Element)}\n   */\n  function getContainingBlock(element, isParent) {\n\n    // As long as the containing block is an element, static and not\n    // transformed, try to get the element's parent element and fallback to\n    // document. https://github.com/niklasramo/mezr/blob/0.6.1/mezr.js#L339\n    var ret = (isParent ? element : element.parentElement) || doc;\n    while (ret && ret !== doc && getStyle(ret, 'position') === 'static' && !isTransformed(ret)) {\n      ret = ret.parentElement || doc;\n    }\n\n    return ret;\n\n  }\n\n  /**\n   * Get element's scroll parents.\n   *\n   * Borrowed from jQuery UI library (and heavily modified):\n   * https://github.com/jquery/jquery-ui/blob/63448148a217da7e64c04b21a04982f0d6\n   * 4aabaa/ui/scroll-parent.js\n   *\n   * @private\n   * @param {HTMLElement} element\n   * @returns {HTMLElement[]}\n   */\n  function getScrollParents(element) {\n\n    var ret = [];\n    var overflowRegex = /(auto|scroll)/;\n    var parent = element.parentNode;\n\n    // If transformed elements leak fixed elements.\n    if (transformLeaksFixed) {\n\n      // If the element is fixed it can not have any scroll parents.\n      if (getStyle(element, 'position') === 'fixed') {\n        return ret;\n      }\n\n      // Find scroll parents.\n      while (parent && parent !== doc && parent !== docElem) {\n        if (overflowRegex.test(getStyle(parent, 'overflow') + getStyle(parent, 'overflow-y') + getStyle(parent, 'overflow-x'))) {\n          ret.push(parent);\n        }\n        parent = getStyle(parent, 'position') === 'fixed' ? null : parent.parentNode;\n      }\n\n      // If parent is not fixed element, add window object as the last scroll\n      // parent.\n      parent !== null && ret.push(global);\n\n    }\n    // If fixed elements behave as defined in the W3C specification.\n    else {\n\n      // Find scroll parents.\n      while (parent && parent !== doc) {\n\n        // If the currently looped element is fixed ignore all parents that are\n        // not transformed.\n        if (getStyle(element, 'position') === 'fixed' && !isTransformed(parent)) {\n          parent = parent.parentNode;\n          continue;\n        }\n\n        // Add the parent element to return items if it is scrollable.\n        if (overflowRegex.test(getStyle(parent, 'overflow') + getStyle(parent, 'overflow-y') + getStyle(parent, 'overflow-x'))) {\n          ret.push(parent);\n        }\n\n        // Update element and parent references.\n        element = parent;\n        parent = parent.parentNode;\n\n      }\n\n      // If the last item is the root element, replace it with the global\n      // object (window). The root element scroll is propagated to the window.\n      if (ret[ret.length - 1] === docElem) {\n        ret[ret.length - 1] = global;\n      }\n\n      // Otherwise add global object (window) as the last scroll parent.\n      else {\n        ret.push(global);\n      }\n\n    }\n\n    return ret;\n\n  }\n\n  /**\n   * Detects if transformed elements leak fixed elements. According W3C\n   * transform rendering spec a transformed element should contain even fixed\n   * elements. Meaning that fixed elements are positioned relative to the\n   * closest transformed ancestor element instead of window. However, not every\n   * browser follows the spec (IE and older Firefox). So we need to test it.\n   * https://www.w3.org/TR/css3-2d-transforms/#transform-rendering\n   *\n   * Borrowed from Mezr (v0.6.1):\n   * https://github.com/niklasramo/mezr/blob/0.6.1/mezr.js#L607\n   *\n   * @private\n   * @returns {Boolean}\n   *   - Returns true if transformed elements leak fixed elements, false\n   *     otherwise.\n   */\n  function doesTransformLeakFixed() {\n\n    if (!transform) {\n      return true;\n    }\n\n    var elems = [0, 1].map(function (elem, isInner) {\n      elem = doc.createElement('div');\n      setStyles(elem, {\n        position: isInner ? 'fixed' : 'absolute',\n        display: 'block',\n        visibility: 'hidden',\n        left: isInner ? '0px' : '1px',\n        transform: 'none'\n      });\n      return elem;\n    });\n    var outer = body.appendChild(elems[0]);\n    var inner = outer.appendChild(elems[1]);\n    var left = inner.getBoundingClientRect().left;\n    setStyles(outer, {transform: 'scale(1)'});\n    var isLeaking = left === inner.getBoundingClientRect().left;\n    body.removeChild(outer);\n\n    return isLeaking;\n\n  }\n\n  /**\n   * Returns true if element is transformed, false if not. In practice the\n   * element's display value must be anything else than \"none\" or \"inline\" as\n   * well as have a valid transform value applied in order to be counted as a\n   * transformed element.\n   *\n   * Borrowed from Mezr (v0.6.1):\n   * https://github.com/niklasramo/mezr/blob/0.6.1/mezr.js#L661\n   *\n   * @private\n   * @param {HTMLElement} element\n   * @returns {Boolean}\n   */\n  function isTransformed(element) {\n\n    var transform = getStyle(element, 'transform');\n    var display = getStyle(element, 'display');\n\n    return transform !== 'none' && display !== 'inline' && display !== 'none';\n\n  }\n\n  /**\n   * Calculate how many percent the intersection area of two rectangles is from\n   * the maximum potential intersection area between the rectangles.\n   *\n   * @private\n   * @param {Rectangle} a\n   * @param {Rectangle} b\n   * @returns {Number}\n   *   - A number between 0-100.\n   */\n  function getRectOverlapScore(a, b) {\n\n    // Return 0 immediately if the rectangles do not overlap.\n    if (!muuriLayout.doRectsOverlap(a, b)) {\n      return 0;\n    }\n\n    // Calculate intersection area's width, height, max height and max width.\n    var width = Math.min(a.left + a.width, b.left + b.width) - Math.max(a.left, b.left);\n    var height = Math.min(a.top + a.height, b.top + b.height) - Math.max(a.top, b.top);\n    var maxWidth = Math.min(a.width, b.width);\n    var maxHeight = Math.min(a.height, b.height);\n\n    return (width * height) / (maxWidth * maxHeight) * 100;\n\n  }\n\n  /**\n   * Helpers - Item sort utilities\n   * *****************************\n   */\n\n  /**\n   * Helper for the sort method to generate mapped version of the items array\n   * than contains reference to the item indices.\n   *\n   * @private\n   * @param {Item[]} items\n   * @returns {Object}\n   */\n  function getItemIndexMap(items) {\n\n    var ret = {};\n    var i;\n\n    for (i = 0; i < items.length; i++) {\n      ret[items[i]._id] = i;\n    }\n\n    return ret;\n\n  }\n\n  /**\n   * Helper for the sort method to compare the indices of the items to enforce\n   * stable sort.\n   *\n   * @private\n   * @param {Item} itemA\n   * @param {Item} itemB\n   * @param {Boolean} isDescending\n   * @param {Object} indexMap\n   * @returns {Number}\n   */\n  function compareItemIndices(itemA, itemB, isDescending, indexMap) {\n\n    var indexA = indexMap[itemA._id];\n    var indexB = indexMap[itemB._id];\n    return isDescending ? indexB - indexA : indexA - indexB;\n\n  }\n\n  /**\n   * Helper for the sort method to compare the items based on the provided\n   * attributes.\n   *\n   * @private\n   * @param {Item} itemA\n   * @param {Item} itemB\n   * @param {Boolean} isDescending\n   * @param {Object} criterias\n   * @returns {Number}\n   */\n  function compareItems(itemA, itemB, isDescending, criterias) {\n\n    var ret = 0;\n    var criteriaName;\n    var criteriaOrder;\n    var valA;\n    var valB;\n    var i;\n\n    // Loop through the list of sort criterias.\n    for (i = 0; i < criterias.length; i++) {\n\n      // Get the criteria name, which should match an item's sort data key.\n      criteriaName = criterias[i][0];\n      criteriaOrder = criterias[i][1];\n\n      // Get items' cached sort values for the criteria. If the item has no sort\n      // data let's update the items sort data (this is a lazy load mechanism).\n      valA = (itemA._sortData ? itemA : itemA._refreshSortData())._sortData[criteriaName];\n      valB = (itemB._sortData ? itemB : itemB._refreshSortData())._sortData[criteriaName];\n\n      // Sort the items in descending order if defined so explicitly.\n      if (criteriaOrder === 'desc' || (!criteriaOrder && isDescending)) {\n        ret = valB < valA ? -1 : valB > valA ? 1 : 0;\n      }\n\n      // Otherwise sort items in ascending order.\n      else {\n        ret = valA < valB ? -1 : valA > valB ? 1 : 0;\n      }\n\n      // If we have -1 or 1 as the return value, let's return it immediately.\n      if (ret !== 0) {\n        return ret;\n      }\n\n    }\n\n    return ret;\n\n  }\n\n  /**\n   * Reorder an array of items based on another array of items.\n   *\n   * @private\n   * @param {Item[]} items\n   * @param {Item[]} refItems\n   * @returns {Item[]}\n   */\n  function sortItemsByReference(items, refItems) {\n\n    var newItems = [];\n    var currentItems = items.concat();\n    var item;\n    var currentIndex;\n    var i;\n\n    for (i = 0; i < refItems.length; i++) {\n      item = refItems[i];\n      currentIndex = currentItems.indexOf(item);\n      if (currentIndex > -1) {\n        newItems.push(item);\n        currentItems.splice(currentIndex, 1);\n      }\n    }\n\n    items.splice.apply(items, [0, items.length].concat(newItems).concat(currentItems));\n\n    return items;\n\n  }\n\n  /**\n   * Check if a point (coordinate) is within a rectangle.\n   *\n   * @private\n   * @param {Number} x\n   * @param {Number} y\n   * @param {Rectangle} rect\n   * @return {Boolean}\n   */\n  function isPointWithinRect(x, y, rect) {\n\n    return rect.width\n      && rect.height\n      && x >= rect.left\n      && x < (rect.left + rect.width)\n      && y >= rect.top\n      && y < (rect.top + rect.height);\n\n  }\n\n  /**\n   * Helpers - Muuri\n   * ***************\n   */\n\n  /**\n   * Show or hide Grid instance's items.\n   *\n   * @private\n   * @param {Grid} inst\n   * @param {String} method\n   *   - \"show\" or \"hide\".\n   * @param {(GridMultiItemQuery|GridItemState)} items\n   * @param {Object} [options]\n   * @param {Boolean} [options.instant=false]\n   * @param {(ShowCallback|HideCallback)} [options.onFinish]\n   * @param {(Boolean|LayoutCallback|String)} [options.layout=true]\n   * @returns {Grid}\n   */\n  function gridShowHideHandler(inst, method, items, options) {\n\n    var targetItems = inst.getItems(items);\n    var opts = options || {};\n    var isInstant = opts.instant === true;\n    var callback = opts.onFinish;\n    var layout = opts.layout ? opts.layout : opts.layout === undefined;\n    var counter = targetItems.length;\n    var isShow = method === 'show';\n    var startEvent = isShow ? evShowStart : evHideStart;\n    var endEvent = isShow ? evShowEnd : evHideEnd;\n    var needsLayout = false;\n    var completedItems = [];\n    var hiddenItems = [];\n    var item;\n    var i;\n\n    // If there are no items call the callback, but don't emit any events.\n    if (!counter) {\n      if (typeof callback === typeFunction) {\n        callback(targetItems);\n      }\n    }\n\n    // Otherwise if we have some items let's dig in.\n    else {\n\n      // Emit showStart/hideStart event.\n      inst._emit(startEvent, targetItems.concat());\n\n      // Show/hide items.\n      for (i = 0; i < targetItems.length; i++) {\n\n        item = targetItems[i];\n\n        // If inactive item is shown or active item is hidden we need to do\n        // layout.\n        if ((isShow && !item._isActive) || (!isShow && item._isActive)) {\n          needsLayout = true;\n        }\n\n        // If inactive item is shown we also need to do some special hackery to\n        // make the item not animate it's next positioning (layout).\n        if (isShow && !item._isActive) {\n          item._skipNextLayoutAnimation = true;\n        }\n\n        // If the a hidden item is being shown we need to refresh the item's\n        // dimensions.\n        isShow && item._isHidden && hiddenItems.push(item);\n\n        // Show/hide the item.\n        item['_' + method](isInstant, function (interrupted, item) {\n\n          // If the current item's animation was not interrupted add it to the\n          // completedItems array.\n          if (!interrupted) {\n            completedItems.push(item);\n          }\n\n          // If all items have finished their animations call the callback\n          // and emit showEnd/hideEnd event.\n          if (--counter < 1) {\n            if (typeof callback === typeFunction) {\n              callback(completedItems.concat());\n            }\n            inst._emit(endEvent, completedItems.concat());\n          }\n\n        });\n\n      }\n\n      // Refresh hidden items.\n      hiddenItems.length && inst.refreshItems(hiddenItems);\n\n      // Layout if needed.\n      if (needsLayout && layout) {\n        inst.layout(layout === 'instant', typeof layout === typeFunction ? layout : undefined);\n      }\n\n    }\n\n    return inst;\n\n  }\n\n  /**\n   * Returns an object which contains start and stop methods for item's\n   * show/hide process.\n   *\n   * @param {String} type\n   * @param {Object} settings\n   * @returns {Object}\n   */\n  function getItemVisibilityHandler(type, settings) {\n\n    var isShow = type === 'show';\n    var duration = parseInt(isShow ? settings.showDuration : settings.hideDuration) || 0;\n    var easing = (isShow ? settings.showEasing : settings.hideEasing) || 'ease';\n    var styles = isShow ? settings.visibleStyles : settings.hiddenStyles;\n    var isEnabled = duration > 0;\n    var currentStyles;\n\n    styles = isPlainObject(styles) ? styles : null;\n\n    return {\n      start: function (item, instant, onFinish) {\n        if (!styles) {\n          onFinish && onFinish();\n        }\n        else {\n          rafLoop.cancel(rafQueueVisibility, item._id);\n          if (!isEnabled || instant) {\n            if (item._animateChild.isAnimating()) {\n              item._animateChild.stop(styles);\n            }\n            else {\n              setStyles(item._child, styles);\n            }\n            onFinish && onFinish();\n          }\n          else {\n            rafLoop.add(rafQueueVisibility, item._id, function () {\n              currentStyles = getCurrentStyles(item._child, styles);\n            }, function () {\n              item._animateChild.start(currentStyles, styles, {\n                duration: duration,\n                easing: easing,\n                onFinish: onFinish\n              });\n            });\n          }\n        }\n      },\n      stop: function (item, targetStyles) {\n        rafLoop.cancel(rafQueueVisibility, item._id);\n        item._animateChild.stop(targetStyles);\n      }\n    };\n\n  }\n\n  /**\n   * Get target grid for the default drag sort predicate.\n   *\n   * @private\n   * @param {Item} item\n   * @param {Grid} rootGrid\n   * @param {Rectangle} itemRect\n   * @param {Number} threshold\n   * @returns {?Grid}\n   */\n  function getTargetGrid(item, rootGrid, itemRect, threshold) {\n\n    var ret = null;\n    var dragSort = rootGrid._settings.dragSort;\n    var grids = dragSort === true ? [rootGrid] : dragSort.call(rootGrid, item);\n    var bestScore = -1;\n    var gridScore;\n    var grid;\n    var i;\n\n    // Return immediately if there are no grids.\n    if (!Array.isArray(grids)) {\n      return ret;\n    }\n\n    // Loop through the grids and get the best match.\n    for (i = 0; i < grids.length; i++) {\n\n      grid = grids[i];\n\n      // Filter out all destroyed grids.\n      if (grid._isDestroyed) {\n        continue;\n      }\n\n      // We need to update the grid's offset since it may have changed during\n      // scrolling. This could be left as problem for the userland, but it's\n      // much nicer this way. One less hack for the user to worry about =)\n      grid._refreshDimensions();\n\n      // Check how much dragged element overlaps the container element.\n      gridScore = getRectOverlapScore(itemRect, {\n        width: grid._width,\n        height: grid._height,\n        left: grid._left,\n        top: grid._top\n      });\n\n      // Check if this grid is the best match so far.\n      if (gridScore > threshold && gridScore > bestScore) {\n        bestScore = gridScore;\n        ret = grid;\n      }\n\n    }\n\n    return ret;\n\n  }\n\n  /**\n   * Process item's callback queue.\n   *\n   * @private\n   * @param {Function[]} queue\n   * @param {Boolean} interrupted\n   * @param {Item} instance\n   */\n  function processQueue(queue, interrupted, instance) {\n\n    var callbacks = queue.splice(0, queue.length);\n    var i;\n\n    for (i = 0; i < callbacks.length; i++) {\n      callbacks[i](interrupted, instance);\n    }\n\n  }\n\n  /**\n   * Check if item is in specific state.\n   *\n   * @private\n   * @param {Item} item\n   * @param {GridItemState} state\n   *  - Accepted values are: \"active\", \"inactive\", \"visible\", \"hidden\",\n   *    \"showing\", \"hiding\", \"positioning\", \"dragging\", \"releasing\" and\n   *    \"migrating\".\n   * @returns {Boolean}\n   */\n  function isItemInState(item, state) {\n\n    var methodName;\n\n    if (state === 'inactive') {\n      return !item.isActive();\n    }\n\n    if (state === 'hidden') {\n      return !item.isVisible();\n    }\n\n    methodName = 'is' + state.charAt(0).toUpperCase() + state.slice(1);\n\n    return typeof item[methodName] === typeFunction ? item[methodName]() : false;\n\n  }\n\n  /**\n   * Prevent default.\n   *\n   * @private\n   * @param {Object} e\n   */\n  function preventDefault(e) {\n\n    if (e.preventDefault) {\n      e.preventDefault();\n    }\n\n  }\n\n  /**\n   * Merge default settings with user settings. The returned object is a new\n   * object with merged values. The merging is a deep merge meaning that all\n   * objects and arrays within the provided settings objects will be also merged\n   * so that modifying the values of the settings object will have no effect on\n   * the returned object.\n   *\n   * @private\n   * @param {Object} defaultSettings\n   * @param {Object} [userSettings]\n   * @returns {Object} Returns a new object.\n   */\n  function mergeSettings(defaultSettings, userSettings) {\n\n    // Create a fresh copy of default settings.\n    var ret = mergeObjects({}, defaultSettings);\n\n    // Merge user settings to default settings.\n    ret = userSettings ? mergeObjects(ret, userSettings) : ret;\n\n    // Handle visible/hidden styles manually so that the whole object is\n    // overriden instead of the props.\n    ret.visibleStyles = (userSettings || {}).visibleStyles || (defaultSettings || {}).visibleStyles;\n    ret.hiddenStyles = (userSettings || {}).hiddenStyles || (defaultSettings || {}).hiddenStyles;\n\n    return ret;\n\n  }\n\n  /**\n   * Resolver for default drag start predicate function.\n   *\n   * @private\n   * @param {Item} item\n   * @param {Object} event\n   * @returns {Boolean}\n   */\n  function dragStartPredicateResolve(item, event) {\n\n    var predicate = item._drag._startPredicateData;\n    var pointer = event.changedPointers[0];\n    var pageX = pointer && pointer.pageX || 0;\n    var pageY = pointer && pointer.pageY || 0;\n    var handleRect;\n\n    // If the moved distance is smaller than the threshold distance or there is\n    // some delay left, ignore this predicate cycle.\n    if (event.distance < predicate.distance || predicate.delay) {\n      return;\n    }\n\n    // Get handle rect.\n    handleRect = predicate.handleElement.getBoundingClientRect();\n\n    // Reset predicate data.\n    dragStartPredicateReset(item);\n\n    // If the cursor is still within the handle let's start the drag.\n    return isPointWithinRect(pageX, pageY, {\n      width: handleRect.width,\n      height: handleRect.height,\n      left: handleRect.left + (global.pageXOffset || 0),\n      top: handleRect.top + (global.pageYOffset || 0)\n    });\n\n  }\n\n  /**\n   * Reset for default drag start predicate function.\n   *\n   * @private\n   * @param {Item} item\n   */\n  function dragStartPredicateReset(item) {\n\n    var predicate = item._drag._startPredicateData;\n\n    if (predicate) {\n      if (predicate.delayTimer) {\n        predicate.delayTimer = global.clearTimeout(predicate.delayTimer);\n      }\n      item._drag._startPredicateData = null;\n    }\n\n  }\n\n  /**\n   * Default layout algorithm\n   * ************************\n   */\n\n  /*!\n    * muuriLayout v0.5.3\n    * Copyright (c) 2016 Niklas Rämö <inramo@gmail.com>\n    * Released under the MIT license\n    */\n\n  /**\n   * The default Muuri layout algorithm. Based on MAXRECTS approach as described\n   * by Jukka Jylänki in his survey: \"A Thousand Ways to Pack the Bin - A\n   * Practical Approach to Two-Dimensional Rectangle Bin Packing.\".\n   *\n   * This algorithm is intentionally separated from the rest of the codebase,\n   * because it is it's own library with a different copyright than the rest of\n   * the software. It's also MIT licensed so no worries there. This is intended\n   * to be used as Muuri's default layout algorithm and goes hand in hand with\n   * Muuri's core development.\n   *\n   * @private\n   * @param {Item[]} items\n   * @param {Number} width\n   * @param {Number} height\n   * @param {Object} options\n   * @param {Boolean} [options.fillGaps=false]\n   * @param {Boolean} [options.horizontal=false]\n   * @param {Boolean} [options.alignRight=false]\n   * @param {Boolean} [options.alignBottom=false]\n   * @returns {LayoutData}\n   */\n  function muuriLayout(items, width, height, options) {\n\n    var fillGaps = !!options.fillGaps;\n    var isHorizontal = !!options.horizontal;\n    var alignRight = !!options.alignRight;\n    var alignBottom = !!options.alignBottom;\n    var rounding = !!options.rounding;\n    var layout = {\n      slots: {},\n      width: isHorizontal ? 0 : (rounding ? Math.round(width) : width),\n      height: !isHorizontal ? 0 : (rounding ? Math.round(height) : height),\n      setWidth: isHorizontal,\n      setHeight: !isHorizontal\n    };\n    var freeSlots = [];\n    var slotIds;\n    var slotData;\n    var slot;\n    var item;\n    var itemWidth;\n    var itemHeight;\n    var i;\n\n    // No need to go further if items do not exist.\n    if (!items.length) {\n      return layout;\n    }\n\n    // Find slots for items.\n    for (i = 0; i < items.length; i++) {\n      item = items[i];\n      itemWidth = item._width + item._margin.left + item._margin.right;\n      itemHeight = item._height + item._margin.top + item._margin.bottom;\n      if (rounding) {\n        itemWidth = Math.round(itemWidth);\n        itemHeight = Math.round(itemHeight);\n      }\n      slotData = muuriLayout.getSlot(layout, freeSlots, itemWidth, itemHeight, !isHorizontal, fillGaps);\n      slot = slotData[0];\n      freeSlots = slotData[1];\n      if (isHorizontal) {\n        layout.width = Math.max(layout.width, slot.left + slot.width);\n      }\n      else {\n        layout.height = Math.max(layout.height, slot.top + slot.height);\n      }\n      layout.slots[item._id] = slot;\n    }\n\n    // If the alignment is set to right or bottom, we need to adjust the\n    // results.\n    if (alignRight || alignBottom) {\n      slotIds = Object.keys(layout.slots);\n      for (i = 0; i < slotIds.length; i++) {\n        slot = layout.slots[slotIds[i]];\n        if (alignRight) {\n          slot.left = layout.width - (slot.left + slot.width);\n        }\n        if (alignBottom) {\n          slot.top = layout.height - (slot.top + slot.height);\n        }\n      }\n    }\n\n    return layout;\n\n  }\n\n  /**\n   * Calculate position for the layout item. Returns the left and top position\n   * of the item in pixels.\n   *\n   * @private\n   * @memberof muuriLayout\n   * @param {Layout} layout\n   * @param {Array} slots\n   * @param {Number} itemWidth\n   * @param {Number} itemHeight\n   * @param {Boolean} vertical\n   * @param {Boolean} fillGaps\n   * @returns {Array}\n   */\n  muuriLayout.getSlot = function (layout, slots, itemWidth, itemHeight, vertical, fillGaps) {\n\n    var leeway = 0.001;\n    var newSlots = [];\n    var item = {\n      left: null,\n      top: null,\n      width: itemWidth,\n      height: itemHeight\n    };\n    var slot;\n    var potentialSlots;\n    var ignoreCurrentSlots;\n    var i;\n    var ii;\n\n    // Try to find a slot for the item.\n    for (i = 0; i < slots.length; i++) {\n      slot = slots[i];\n      if (item.width <= (slot.width + leeway) && item.height <= (slot.height + leeway)) {\n        item.left = slot.left;\n        item.top = slot.top;\n        break;\n      }\n    }\n\n    // If no slot was found for the item.\n    if (item.left === null) {\n\n      // Position the item in to the bottom left (vertical mode) or top right\n      // (horizontal mode) of the grid.\n      item.left = vertical ? 0 : layout.width;\n      item.top = vertical ? layout.height : 0;\n\n      // If gaps don't needs filling do not add any current slots to the new\n      // slots array.\n      if (!fillGaps) {\n        ignoreCurrentSlots = true;\n      }\n\n    }\n\n    // In vertical mode, if the item's bottom overlaps the grid's bottom.\n    if (vertical && (item.top + item.height) > layout.height) {\n\n      // If item is not aligned to the left edge, create a new slot.\n      if (item.left > 0) {\n        newSlots.push({\n          left: 0,\n          top: layout.height,\n          width: item.left,\n          height: Infinity\n        });\n      }\n\n      // If item is not aligned to the right edge, create a new slot.\n      if ((item.left + item.width) < layout.width) {\n        newSlots.push({\n          left: item.left + item.width,\n          top: layout.height,\n          width: layout.width - item.left - item.width,\n          height: Infinity\n        });\n      }\n\n      // Update grid height.\n      layout.height = item.top + item.height;\n\n    }\n\n    // In horizontal mode, if the item's right overlaps the grid's right edge.\n    if (!vertical && (item.left + item.width) > layout.width) {\n\n      // If item is not aligned to the top, create a new slot.\n      if (item.top > 0) {\n        newSlots.push({\n          left: layout.width,\n          top: 0,\n          width: Infinity,\n          height: item.top\n        });\n      }\n\n      // If item is not aligned to the bottom, create a new slot.\n      if ((item.top + item.height) < layout.height) {\n        newSlots.push({\n          left: layout.width,\n          top: item.top + item.height,\n          width: Infinity,\n          height: layout.height - item.top - item.height\n        });\n      }\n\n      // Update grid width.\n      layout.width = item.left + item.width;\n\n    }\n\n    // Clean up the current slots making sure there are no old slots that\n    // overlap with the item. If an old slot overlaps with the item, split it\n    // into smaller slots if necessary.\n    for (i = fillGaps ? 0 : ignoreCurrentSlots ? slots.length : i; i < slots.length; i++) {\n      potentialSlots = muuriLayout.splitRect(slots[i], item);\n      for (ii = 0; ii < potentialSlots.length; ii++) {\n        slot = potentialSlots[ii];\n        // Let's make sure here that we have a big enough slot\n        // (width/height > 0.49px) and also let's make sure that the slot is\n        // within the boundaries of the grid.\n        if (slot.width > 0.49 && slot.height > 0.49 && ((vertical && slot.top < layout.height) || (!vertical && slot.left < layout.width))) {\n          newSlots.push(slot);\n        }\n      }\n    }\n\n    // Sanitize new slots.\n    if (newSlots.length) {\n      newSlots = muuriLayout.purgeRects(newSlots).sort(vertical ? muuriLayout.sortRectsTopLeft : muuriLayout.sortRectsLeftTop);\n    }\n\n    // Return the item and updated slots data.\n    return [item, newSlots];\n\n  };\n\n  /**\n   * Punch a hole into a rectangle and split the remaining area into smaller\n   * rectangles (4 at max).\n   *\n   * @private\n   * @param {Rectangle} rect\n   * @param {Rectangle} hole\n   * returns {Rectangle[]}\n   */\n  muuriLayout.splitRect = function (rect, hole) {\n\n    var ret = [];\n\n    // If the rect does not overlap with the hole add rect to the return data as\n    // is.\n    if (!muuriLayout.doRectsOverlap(rect, hole)) {\n      return [{\n        left: rect.left,\n        top: rect.top,\n        width: rect.width,\n        height: rect.height\n      }];\n    }\n\n    // Left split.\n    if (rect.left < hole.left) {\n      ret.push({\n        left: rect.left,\n        top: rect.top,\n        width: hole.left - rect.left,\n        height: rect.height\n      });\n    }\n\n    // Right split.\n    if ((rect.left + rect.width) > (hole.left + hole.width)) {\n      ret.push({\n        left: hole.left + hole.width,\n        top: rect.top,\n        width: (rect.left + rect.width) - (hole.left + hole.width),\n        height: rect.height\n      });\n    }\n\n    // Top split.\n    if (rect.top < hole.top) {\n      ret.push({\n        left: rect.left,\n        top: rect.top,\n        width: rect.width,\n        height: hole.top - rect.top\n      });\n    }\n\n    // Bottom split.\n    if ((rect.top + rect.height) > (hole.top + hole.height)) {\n      ret.push({\n        left: rect.left,\n        top: hole.top + hole.height,\n        width: rect.width,\n        height: (rect.top + rect.height) - (hole.top + hole.height)\n      });\n    }\n\n    return ret;\n\n  };\n\n  /**\n   * Check if two rectangles overlap.\n   *\n   * @private\n   * @memberof muuriLayout\n   * @param {Rectangle} a\n   * @param {Rectangle} b\n   * @returns {Boolean}\n   */\n  muuriLayout.doRectsOverlap = function (a, b) {\n\n    return !((a.left + a.width) <= b.left || (b.left + b.width) <= a.left || (a.top + a.height) <= b.top || (b.top + b.height) <= a.top);\n\n  };\n\n  /**\n   * Check if a rectangle is fully within another rectangle.\n   *\n   * @private\n   * @memberof muuriLayout\n   * @param {Rectangle} a\n   * @param {Rectangle} b\n   * @returns {Boolean}\n   */\n  muuriLayout.isRectWithinRect = function (a, b) {\n\n    return a.left >= b.left && a.top >= b.top && (a.left + a.width) <= (b.left + b.width) && (a.top + a.height) <= (b.top + b.height);\n\n  };\n\n  /**\n   * Loops through an array of rectangles and removes all that are fully within\n   * another rectangle in the array.\n   *\n   * @private\n   * @memberof muuriLayout\n   * @param {Rectangle[]} rects\n   * @returns {Rectangle[]}\n   */\n  muuriLayout.purgeRects = function (rects) {\n\n    var i = rects.length;\n    var ii;\n    var rectA;\n    var rectB;\n\n    while (i--) {\n      rectA = rects[i];\n      ii = rects.length;\n      while (ii--) {\n        rectB = rects[ii];\n        if (i !== ii && muuriLayout.isRectWithinRect(rectA, rectB)) {\n          rects.splice(i, 1);\n          break;\n        }\n      }\n    }\n\n    return rects;\n\n  };\n\n  /**\n   * Sort rectangles with top-left gravity.\n   *\n   * @private\n   * @memberof muuriLayout\n   * @param {Rectangle} a\n   * @param {Rectangle} b\n   * @returns {Number}\n   */\n  muuriLayout.sortRectsTopLeft = function (a, b) {\n\n    return a.top - b.top || a.left - b.left;\n\n  };\n\n  /**\n   * Sort rectangles with left-top gravity.\n   *\n   * @private\n   * @memberof muuriLayout\n   * @param {Rectangle} a\n   * @param {Rectangle} b\n   * @returns {Number}\n   */\n  muuriLayout.sortRectsLeftTop = function (a, b) {\n\n    return a.left - b.left || a.top - b.top;\n\n  };\n\n  /**\n   * Type definitions\n   * ****************\n   */\n\n  /* eslint-disable */\n  /**\n   * The values by which multiple grid items can be queried. An html element or\n   * an array of HTML elements. Item or an array of items. Node list, live or\n   * static. Number (index) or a list of numbers (indices).\n   *\n   * @typedef {(HTMLElement|HTMLElement[]|Item|Item[]|NodeList|Number|Number[])} GridMultiItemQuery\n   */\n  /* eslint-enable */\n\n  /**\n   * The values by which a single grid item can be queried. An html element, an\n   * item instance or a number (index).\n   *\n   * @typedef {(HTMLElement|Item|Number)} GridSingleItemQuery\n   */\n\n  /**\n   * The grid item's state, a string. Accepted values are: \"active\", \"inactive\",\n   * \"visible\", \"hidden\", \"showing\", \"hiding\", \"positioning\", \"dragging\",\n   * \"releasing\" and \"migrating\".\n   *\n   * @typedef {String} GridItemState\n   */\n\n  /**\n   * The data that is required to orchestrate a sort action during drag.\n   *\n   * @typedef {Object} DragSortCommand\n   * @param {String} action\n   *   - \"move\" or \"swap\".\n   * @param {Number} index\n   *   - target index.\n   * @param {?Grid} [grid=null]\n   *   - target grid.\n   */\n\n  /**\n   * A rectangle is an object with width, height and offset (left and top) data.\n   *\n   * @typedef {Object} Rectangle\n   * @property {Number} width\n   * @property {Number} height\n   * @property {Number} left\n   * @property {Number} top\n   */\n\n  /**\n   * Layout data for the layout instance.\n   *\n   * @typedef {Object} LayoutData\n   * @property {Object} slots\n   * @property {Number} width\n   * @property {Number} height\n   * @property {Boolean} setWidth\n   * @property {Boolean} setHeight\n   */\n\n  /**\n   * @callback LayoutCallback\n   * @param {Boolean} isAborted\n   *   - Was the layout procedure aborted?\n   * @param {Item[]} items\n   *   - The items that were attempted to be positioned.\n   */\n\n  /**\n   * @callback ShowCallback\n   * @param {Item[]} items\n   *   - The items that were successfully shown without interruptions.\n   */\n\n  /**\n   * @callback HideCallback\n   * @param {Item[]} items\n   *   - The items that were successfully hidden without interruptions.\n   */\n\n  /**\n   * @callback FilterCallback\n   * @param {Item[]} shownItems\n   *   - The items that were shown.\n   * @param {Item[]} hiddenItems\n   *   - The items that were hidden.\n   */\n\n  /**\n   * Init\n   */\n\n  return Grid;\n\n}));",
            "type": "application/javascript",
            "title": "$:/plugins/BTC/tiddly-touch/lib/muuri.js",
            "tags": "",
            "module-type": "library",
            "modified": "20180121164318543",
            "created": "20180118195028747"
        },
        "$:/plugins/BTC/tiddly-touch/macros": {
            "text": "\\define hide-tiddler-borders-and-gaps()\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!seamless\" type=\"match\" text=\"yes\">\n\n.tc-grid-1 {\n    background-color: <<colour tiddler-background>> !important;\n}\n.tc-tiddler-frame {\n    box-shadow: none !important;\n    border: none !important;\n    margin: 0px 0px 0px 0px !important;\n    border-radius: 0px !important;\n}\n<$list filter=\"1 2 3 4 5 6 7 8 9 10 11 12\" variable=\"spanValue\">\n.tc-tiddler-frame.span-<<spanValue>> {\n  width: calc((100% / 12 * <<spanValue>>)) !important;\n  min-width: calc((100% / 12 * <<spanValue>>)) !important;\n}\n\n</$list>\n\n.tc-tiddler-frame.span-13 {\n  width: calc((100% / 5 * 4)) !important;\n  min-width: calc((100% / 5 * 4)) !important;\n}\n\n</$reveal>\n\\end\n\\define you-better-disable-dragging()\n<$reveal state=\"$:/view\" type=\"match\" text=\"muuri\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!drag-enabled\" type=\"nomatch\" text=\"no\">\n\n<$macrocall $name=\"attention\" text=\"\"\"\n\n!!!//you better ''disable global dragging'' for this:&nbsp;&nbsp;{{$:/plugins/BTC/tiddly-touch/Buttons/toggle-drag}}//\n\n\"\"\"/>\n</$reveal>\n</$reveal>\n\\end\n\\define mobile-portrait-tiles()\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!align-horizontal\" type=\"nomatch\" text=\"yes\">\n<$set name=\"columnCount\" value={{$:/plugins/BTC/tiddly-touch/config!!column-count}}>\n.tc-tiddler-frame, .tc-tiddler-edit-frame {\n    width: calc(100% - 16px);\n    min-width: calc(100% - 16px) ;\n}\n<$list filter=\"1 2 3 4 5 6 7 8 9 10 11 12\" variable=\"spanValue\">\n.tc-tiddler-frame.span-<<spanValue>> {\n  width: calc(100% - 16px);\n  min-width: calc(100% - 16px);\n}\n</$list>\n</$set>\n</$reveal>\n\\end\n\\define sidebar-new-window-tiddler-edit-frame-hide()\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!sidebar-new-window\" type=\"match\" text=\"yes\">\n.tc-story-river .tc-tiddler-edit-frame {\n\n}\n</$reveal>\n\\end\n\\define tiddly-touch-toolbar-left-right()\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!toolbar-right\" type=\"match\" text=\"yes\">\n\n</$reveal>\n\\end\n\\define vertical-toolbar-yes-no()\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!vertical-toolbar\" type=\"nomatch\" text=\"no\">\n.tc-tiddler-view-frame:not(.tc-tiddler-folded) .tc-tiddler-controls {\n    width: 1.8em;\n    right: -60px;\n    position: fixed;\n    top: -20px;\n}\n@media (max-width: 500px) {\n.tc-tiddler-view-frame:not(.tc-tiddler-folded) .tc-tiddler-controls {\n    width: 1em;\n    right: -30px;\n    position: fixed;\n    top: -10px;\n}\n}\n</$reveal>\n\\end\n\\define if-horizontal-grid(text)\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!align-horizontal\" type=\"match\" text=\"yes\">\n$text$\n</$reveal>\n\\end\n\\define toggle-muuri-columns()\n<$set name=\"offSetPx\" filter=\"[[$:/plugins/BTC/tiddly-touch/config]get[seamless]regexp[^yes$]addprefix[0]removesuffix[yes]] [[$:/plugins/BTC/tiddly-touch/config]get[seamless]regexp[^no$]addprefix[16]removesuffix[no]]\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!column-count\" type=\"nomatch\" text=\"\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!align-horizontal\" type=\"nomatch\" text=\"yes\">\n<$set name=\"columnCount\" value={{$:/plugins/BTC/tiddly-touch/config!!column-count}}>\n.tc-tiddler-frame, .tc-tiddler-edit-frame {\n    width: calc((100% / <<columnCount>>) - <<offSetPx>>px);\n    min-width: calc((100% / <<columnCount>>) - <<offSetPx>>px) ;\n}\n@media (min-width: 500px) {\n.tc-tiddler-frame, .tc-tiddler-edit-frame {\n    width: calc((100% / <<columnCount>>) - <<offSetPx>>px);\n    min-width: calc((100% / <<columnCount>>) - <<offSetPx>>px);\n}\n}\n\n<$list filter=\"[<columnCount>regexp[^(4|5|6)$]]\">\n\n.tc-tiddler-frame {\n    padding-left: 20px;\n    padding-right: 20px;\n}\n\n.tc-tiddler-controls {\n    right: -40px !important;\n}\n\n.tc-tiddler-info {\n    margin-left: -20px;\n    margin-right: -20px;\n    padding-left: 10px;\n    padding-right: 10px;\n}\n\n.tc-unfold-banner {\n   margin-left: -21px;\n}\n\n.tc-fold-banner {\n    margin-left: -17px;\n    width: 15px;\n}\n\n</$list>\n\n.tc-tiddler-frame.span-4, .tc-tiddler-frame.span-5, .tc-tiddler-frame.span-6 , .tc-tiddler-frame.span-7, .tc-tiddler-frame.span-8, .tc-tiddler-frame.span-9 , .tc-tiddler-frame.span-10, .tc-tiddler-frame.span-11, .tc-tiddler-frame.span-12, , .tc-tiddler-frame.span-13 {\n    padding-left: 42px !important;\n    padding-right: 42px !important;\n}\n\n.tc-tiddler-frame.span-1, .tc-tiddler-frame.span-2, .tc-tiddler-frame.span-3 {\n    padding-left: 20px;\n    padding-right: 20px;\n}\n\n.span-1 .tc-tiddler-controls, .span-2 .tc-tiddler-controls, .span-3 .tc-tiddler-controls {\n    right: -40px !important;\n}\n\n.span-1 .tc-tiddler-info, .span-2 .tc-tiddler-info, .span-3 .tc-tiddler-info {\n    margin-left: -20px;\n    margin-right: -20px;\n    padding-left: 10px;\n    padding-right: 10px;\n}\n\n.span-1 .tc-unfold-banner, .span-2 .tc-unfold-banner, .span-3 .tc-unfold-banner {\n   margin-left: -21px;\n}\n\n.span-1 .tc-fold-banner, .span-2 .tc-fold-banner, .span-3 .tc-fold-banner {\n    margin-left: -17px;\n    width: 15px;\n}\n\n\n<$list filter=\"1 2 3 4 5 6 7 8 9 10 11 12\" variable=\"spanValue\">\n.tc-tiddler-frame.span-<<spanValue>> {\n  width: calc((100% / 12 * <<spanValue>>) - <<offSetPx>>px);\n  min-width: calc((100% / 12 * <<spanValue>>) - <<offSetPx>>px);\n}\n@media (min-width: 500px) {\n.tc-tiddler-frame.span-<<spanValue>> {\n    width: calc((100% / 12 * <<spanValue>>) - <<offSetPx>>px) !important;\n    min-width: calc((100% / 12 * <<spanValue>>) - <<offSetPx>>px) !important;\n}\n}\n</$list>\n.tc-tiddler-frame.span-13 {\n  width: calc((100% / 5 * 4) - <<offSetPx>>px) !important;\n  min-width: calc((100% / 5 * 4) - <<offSetPx>>px) !important;\n}\n</$set>\n</$reveal>\n</$reveal>\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!column-count\" type=\"nomatch\" text=\"\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!align-horizontal\" type=\"match\" text=\"yes\">\n<$set name=\"columnCount\" value={{$:/plugins/BTC/tiddly-touch/config!!column-count}}>\n.tc-tiddler-frame, .tc-tiddler-edit-frame {\n    width: calc((100vw - 84px) / <<columnCount>> - <<offSetPx>>px) !important;\n    min-width: calc((100vw - 84px) / <<columnCount>> - <<offSetPx>>px) !important;\n}\n@media (min-width: 500px) {\n.tc-tiddler-frame, .tc-tiddler-edit-frame {\n    width: calc((100vw - 84px) / <<columnCount>> - <<offSetPx>>px) !important;\n    min-width: calc((100vw - 84px) / <<columnCount>> - <<offSetPx>>px) !important;\n}\n}\n<$list filter=\"1 2 3 4 5 6 7 8 9 10 11 12\" variable=\"spanValue\">\n.tc-tiddler-frame.span-<<spanValue>> {\n  width: calc(((100vw - 84px) * <<spanValue>> / 12) - <<offSetPx>>px);\n  min-width: calc(((100vw - 84px) * <<spanValue>> / 12) - <<offSetPx>>px);\n}\n@media (min-width: 500px) {\n.tc-tiddler-frame.span-<<spanValue>> {\n  width: calc(((100vw - 84px) * <<spanValue>> / 12) - <<offSetPx>>px) !important;\n  min-width: calc(((100vw - 84px) * <<spanValue>> / 12) - <<offSetPx>>px)!important;\n}\n}\n</$list>\n.tc-tiddler-frame.span-13 {\n  width: calc((100% / 5 * 4) - <<offSetPx>>px) !important;\n  min-width: calc((100% / 5 * 4) - <<offSetPx>>px) !important;\n}\n</$set>\n</$reveal>\n</$reveal>\n\\end\n\\define vertical-toolbar-macro()\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!vertical-toolbar\" type=\"nomatch\" text=\"no\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-controls\" type=\"nomatch\" text=\"yes\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]![$:/plugins/BTC/tiddly-touch/Buttons/toggle-tiddler-width]![$:/core/ui/Buttons/more-tiddler-actions]![$:/core/ui/Buttons/fold-bar]lookup[$:/config/ViewToolbarButtons/Visibility/]!regexp[^hide$]count[]]\" variable=\"toolbarCount\">\n.tc-tiddler-frame:not(.tc-tiddler-folded) {\n    min-height: calc(<<toolbarCount>> * 175px / 4);\n}\n</$list>\n</$reveal>\n</$reveal>\n\\end\n\\define if-dragging-enabled(text)\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!drag-enabled\" type=\"match\" text=\"yes\">\n$text$\n</$reveal>\n\\end\n\\define if-spreadsheet-view(text)\n<$list filter=\"[[$:/core/ui/PageTemplate/spreadsheet]tag[$:/tags/PageTemplate]]\">\n$text$\n</$list>\n\\end\n\\define show-hide-right-grid()\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!right-grid\" type=\"match\" text=\"hide\">\n\n.tc-grid-3 {\n    display: none !important;\n    visibility: hidden;\n}\n\n</$reveal>\n\\end\n\\define show-hide-left-grid()\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!left-grid\" type=\"match\" text=\"hide\">\n\nsection.tc-grid-2, .grid-container-2, .tc-grid-2 .tc-tiddler-frame {\n    display: none !important;\n    visibility: hidden;\n}\n\n</$reveal>\n\\end\n\\define leftgrid-width-macro()\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!left-grid-width\" type=\"nomatch\" text=\"\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!left-grid\" type=\"nomatch\" text=\"hide\">\n<$set name=\"leftGridWidth\" value={{$:/plugins/BTC/tiddly-touch/config!!left-grid-width}}>\n.tc-grid-2 {\n    width: calc(13% + ((<<leftGridWidth>> - 1) * (100vw / 20))) !important;\n}\n.tc-grid-1 {\n    width: calc(74% - ((<<leftGridWidth>> - 1)  * (100vw / 20))) !important;\n}\n</$set>\n</$reveal>\n</$reveal>\n\\end\n\\define rightgrid-width-macro()\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!right-grid-width\" type=\"nomatch\" text=\"\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!right-grid\" type=\"nomatch\" text=\"hide\">\n<$list filter=\"[[$:/plugins/BTC/tiddly-touch/config]get[left-grid]regexp[^hide$]]\">\n<$set name=\"rightGridWidth\" value={{$:/plugins/BTC/tiddly-touch/config!!right-grid-width}}>\n\n.tc-grid-2 {\n    display: none !important;\n}\n\n.tc-grid-3 {\n    width: calc(13% + ((<<rightGridWidth>> - 1) * (100vw / 20)));\n}\n\n.tc-grid-1 {\n    width: calc(87% - ((<<rightGridWidth>> - 1)  * (100vw / 20)) - 21px);\n}\n\n</$set>\n</$list>\n<$list filter=\"[[$:/plugins/BTC/tiddly-touch/config]get[left-grid]!regexp[^hide$]]\">\n<$vars rightGridWidth={{$:/plugins/BTC/tiddly-touch/config!!right-grid-width}} leftGridWidth={{$:/plugins/BTC/tiddly-touch/config!!left-grid-width}}>\n\n.tc-grid-3 {\n    width: calc(13% + ((<<rightGridWidth>> - 1) * (100vw / 20))) !important;\n}\n.tc-grid-2 {\n    width: calc(13% + ((<<leftGridWidth>> - 1) * (100vw / 20))) !important;\n}\n.tc-grid-1 {\n    width: calc(74% - ((<<rightGridWidth>> - 1)  * (100vw / 20)) - ((<<leftGridWidth>> - 1) * (100vw / 20)) - 42px);\n    left: calc(13% + ((<<leftGridWidth>> - 1) * (100vw / 20)) + 21px);\n}\n\n</$vars>\n</$list>\n</$reveal>\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!right-grid\" type=\"match\" text=\"hide\">\n<$list filter=\"[[$:/plugins/BTC/tiddly-touch/config]get[left-grid]regexp[^hide$]]\">\n<$set name=\"rightGridWidth\" value={{$:/plugins/BTC/tiddly-touch/config!!right-grid-width}}>\n\n.tc-grid-1 {\n    width: 100%;\n}\n\n.tc-grid-2 {\n    display: none;\n}\n\n</$set>\n</$list>\n<$list filter=\"[[$:/plugins/BTC/tiddly-touch/config]get[left-grid]!regexp[^hide$]]\">\n<$vars rightGridWidth={{$:/plugins/BTC/tiddly-touch/config!!right-grid-width}} leftGridWidth={{$:/plugins/BTC/tiddly-touch/config!!left-grid-width}}>\n\n.tc-grid-2 {\n    width: calc(13% + ((<<leftGridWidth>> - 1) * (100vw / 20)) + 8px);\n}\n\n.tc-grid-1 {\n    width: calc(87% -\n ((<<leftGridWidth>> - 1) * (100vw / 20)) - 21px) ;\n    left: calc(13% + ((<<leftGridWidth>> - 1) * (100vw / 20)) + 21px);\n    right: 0px;\n}\n\n</$vars>\n</$list>\n</$reveal>\n</$reveal>\n\\end",
            "title": "$:/plugins/BTC/tiddly-touch/macros",
            "tags": "$:/tags/Macro",
            "modified": "20180121152925882",
            "created": "20180118200039067"
        },
        "$:/plugins/BTC/tiddly-touch/macros/grid-item-class.js": {
            "text": "/*\\\ntitle: $:/plugins/BTC/tiddly-touch/macros/grid-item-class.js\ntype: application/javascript\nmodule-type: macro\ntags: $:/tags/Macro\n\nMacro to generate a list of CSS classes for the curren tiddler view\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"grid-item-class\";\n\nexports.params = [\n  { name: \"default\", default: \"grid-item-content\" }\n];\n\n/*\nRun the macro\n*/\nexports.run = function(defaultClass) {\n  var tiddler = this.wiki.getTiddler(this.getVariable(\"currentTiddler\"));\n  var output = defaultClass;\n\n  if (!tiddler) {\n    return output;\n  }\n\n  var viewClass = tiddler.fields['view-class'];\n  if (viewClass) {\n    output += \" \" + viewClass;\n  }\n\n  var tiddlerWidth = tiddler.fields['muuri-tiddler-width'];\n  if (tiddlerWidth) {\n    switch(tiddlerWidth) {\n    case \"0\":\n\t\toutput += \" \";\n        break;\n    case \"1\":\n\t\toutput += \" span-12\";\n        break;\n    case \"2\":\n\t\toutput += \" span-8\";\n        break;\n    case \"3\":\n\t\toutput += \" span-6\";\n        break;\n    case \"4\":\n\t\toutput += \" span-4\";\n        break;\n    case \"5\":\n\t\toutput += \" span-3\";\n        break;\n    case \"6\":\n\t\toutput += \" span-2\";\n        break;\n    case \"7\":\n        output += \" span-10\";\n        break;\n    case \"8\":\n        output += \" span-9\";\n        break;\n    case \"9\":\n        output += \" span-13\";\n        break;\n    default:\n\t\toutput += \" \";\n\t}\n  }\n  return output;\n};\n})();\n",
            "type": "application/javascript",
            "title": "$:/plugins/BTC/tiddly-touch/macros/grid-item-class.js",
            "tags": "$:/tags/Macro",
            "revision": "0",
            "module-type": "macro",
            "modified": "20180121105655908",
            "created": "20180103110940949",
            "bag": "default"
        },
        "$:/plugins/BTC/tiddly-touch/PageTemplate/LeftBar": {
            "text": "\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n\\define leftbar-config-title()\n$:/config/LeftBarButtons/Visibility/$(listItem)$\n\\end\n\n<div class=\"tc-leftbar\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]!title[$:/core/ui/Buttons/save-wiki]]\" variable=\"listItem\">\n<$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$set>\n</$reveal>\n</$list>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/LeftBar]!has[draft.of]]\" variable=\"listItem\">\n<$reveal type=\"nomatch\" state=<<leftbar-config-title>> text=\"hide\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$set>\n</$reveal>\n</$list>\n{{$:/plugins/BTC/tiddly-touch/Buttons/sidebar}}\n\n</div>\n",
            "type": "text/vnd.tiddlywiki",
            "title": "$:/plugins/BTC/tiddly-touch/PageTemplate/LeftBar",
            "revision": "0",
            "modified": "20180121165555479",
            "list-after": "$:/plugins/BTC/tiddly-touch/PageTemplate/muuri",
            "created": "20171113175754780",
            "bag": "default"
        },
        "$:/plugins/BTC/tiddly-touch/PageTemplate/muuri": {
            "text": "<section class=\"tc-story-river\">\n\n<$muuri target={{$:/plugins/BTC/tiddly-touch/config!!child-class}} target-is-tiddler=\"yes\" fill-gaps={{$:/plugins/BTC/tiddly-touch/config!!fill-gaps}} horizontal={{$:/plugins/BTC/tiddly-touch/config!!align-horizontal}} align-right={{$:/plugins/BTC/tiddly-touch/config!!align-right}} align-bottom={{$:/plugins/BTC/tiddly-touch/config!!align-bottom}} dragging={{$:/plugins/BTC/tiddly-touch/config!!drag-enabled}}>\n\n<$list filter=\"[list[$:/StoryList]]\" history=\"$:/HistoryList\" template=\"$:/plugins/BTC/tiddly-touch/ui/ViewTemplate\" editTemplate=\"$:/plugins/BTC/tiddly-touch/ui/EditTemplate\" storyview={{$:/view}} emptyMessage={{$:/config/EmptyStoryMessage}}/>\n\n</$muuri>\n\n<section class=\"story-frontdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/BelowStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n</section>",
            "title": "$:/plugins/BTC/tiddly-touch/PageTemplate/muuri",
            "modified": "20180121165555480",
            "created": "20180118195806654"
        },
        "$:/plugins/BTC/tiddly-touch/ui/EditTemplate": {
            "text": "\\define actions()\n<$action-sendmessage $message=\"tm-add-tag\" $param={{$:/temp/NewTagName}}/>\n<$action-deletetiddler $tiddler=\"$:/temp/NewTagName\"/>\n<$action-sendmessage $message=\"tm-add-field\" $name={{$:/temp/newfieldname}} $value={{$:/temp/newfieldvalue}}/>\n<$action-deletetiddler $tiddler=\"$:/temp/newfieldname\"/>\n<$action-deletetiddler $tiddler=\"$:/temp/newfieldvalue\"/>\n<$action-sendmessage $message=\"tm-save-tiddler\"/>\n\\end\n\\define frame-classes()\ntc-tiddler-frame tc-tiddler-edit-frame $(missingTiddlerClass)$ $(shadowTiddlerClass)$ $(systemTiddlerClass)$ $(muuriViewClasses)$\n\\end\n<$set name=\"muuriViewClasses\" value=<<grid-item-class>>><div class=<<frame-classes>>>\n<$fieldmangler>\n<$set name=\"storyTiddler\" value=<<currentTiddler>>>\n<$keyboard key=\"((cancel-edit-tiddler))\" message=\"tm-cancel-tiddler\">\n<$keyboard key=\"((save-tiddler))\" actions=<<actions>>>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditTemplate]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>>/>\n</$set>\n</$list>\n</$keyboard>\n</$keyboard>\n</$set>\n</$fieldmangler>\n</div></$set>\n",
            "title": "$:/plugins/BTC/tiddly-touch/ui/EditTemplate",
            "tags": "",
            "modified": "20180120165137852",
            "created": "20180120163952016"
        },
        "$:/plugins/BTC/tiddly-touch/ui/ViewTemplate": {
            "text": "\\define frame-classes()\ntc-tiddler-frame tc-tiddler-view-frame $(muuriViewClasses)$ $(missingTiddlerClass)$ $(shadowTiddlerClass)$ $(systemTiddlerClass)$ $(tiddlerTagClasses)$ $(foldedState)$ $(morePopupStateClass)$\n\\end\n\\define folded-state()\n$:/state/folded/$(currentTiddler)$\n\\end\n\\define more-popup-state()\n$:/state/popup/more/$(currentTiddler)$\n\\end\n<$set name=\"storyTiddler\" value=<<currentTiddler>>><$set name=\"tiddlerInfoState\" value=<<qualify \"$:/state/popup/tiddler-info\">>><$set name=\"morePopupState\" value=<<more-popup-state>>><$tiddler tiddler=<<currentTiddler>>><$set name=\"foldedState\"\n value={{{ [all[tiddlers]prefix[$:/state/folded]suffix<currentTiddler>is[tiddler]get[text]regexp[^hide$]addprefix[tc-tiddler-folded]removesuffix[hide]] }}}><$set name=\"morePopupStateClass\" value={{{ [<morePopupState>!is[missing]suffix<currentTiddler>addprefix[tc-tiddler-more-popup]removesuffix<morePopupState>] }}}><$set name=\"muuriViewClasses\" value=<<grid-item-class>>><div class=<<frame-classes>>><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewTemplate]!has[draft.of]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>>/></$list>\n</div>\n</$set></$set></$set>\n</$tiddler></$set></$set></$set>\n",
            "type": "text/vnd.tiddlywiki",
            "title": "$:/plugins/BTC/tiddly-touch/ui/ViewTemplate",
            "tiddler-width": "5",
            "tags": "",
            "revision": "0",
            "modified": "20180120154325848",
            "created": "20180103134840871",
            "bag": "default"
        },
        "$:/plugins/BTC/tiddly-touch/Buttons/show-hide-titles-tags-controls": {
            "text": "\\define show-hide-tiddler-title-tags()\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-titles\" type=\"match\" text=\"yes\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-tags\" type=\"nomatch\" text=\"yes\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-controls\" type=\"nomatch\" text=\"yes\">\n.tc-tiddler-frame .tc-title,  .tc-tiddler-frame .tc-subtitle {\n    display: none;\n}\n.tc-tiddler-frame {\n    padding-top: 10px;\n}\n.tc-tiddler-controls {\n    padding-top: 18px;\n}\n</$reveal>\n</$reveal>\n</$reveal>\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-titles\" type=\"match\" text=\"yes\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-tags\" type=\"match\" text=\"yes\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-controls\" type=\"nomatch\" text=\"yes\">\n.tc-tiddler-frame .tc-title,  .tc-tiddler-frame .tc-subtitle, .tc-tiddler-frame .tc-tags-wrapper {\n    display: none;\n}\n.tc-tiddler-frame {\n    padding-top: 10px;\n}\n.tc-tiddler-controls {\n    padding-top: 18px;\n}\n</$reveal>\n</$reveal>\n</$reveal>\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-titles\" type=\"match\" text=\"yes\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-tags\" type=\"match\" text=\"yes\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-controls\" type=\"match\" text=\"yes\">\n.tc-tiddler-frame .tc-title,  .tc-tiddler-frame .tc-subtitle, .tc-tiddler-frame .tc-tags-wrapper, .tc-tiddler-frame .tc-tiddler-controls {\n    display: none;\n}\n.tc-tiddler-frame {\n    padding-top: 10px;\n}\n.tc-tiddler-controls {\n    padding-top: 18px;\n}\n</$reveal>\n</$reveal>\n</$reveal>\n\\end\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-titles\" type=\"nomatch\" text=\"yes\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-tags\" type=\"nomatch\" text=\"yes\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-controls\" type=\"nomatch\" text=\"yes\">\n<$button class=\"tc-btn-invisible\"><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"hide-titles\" $value=\"yes\"/>{{$:/plugins/BTC/tiddly-touch/icons!!visibility}}\n</$button>\n</$reveal>\n</$reveal>\n</$reveal>\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-titles\" type=\"match\" text=\"yes\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-tags\" type=\"nomatch\" text=\"yes\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-controls\" type=\"nomatch\" text=\"yes\">\n<$button class=\"tc-btn-invisible\"><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"hide-tags\" $value=\"yes\"/>{{$:/plugins/BTC/tiddly-touch/icons!!visibility-off-blue}}\n</$button>\n</$reveal>\n</$reveal>\n</$reveal>\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-titles\" type=\"match\" text=\"yes\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-tags\" type=\"match\" text=\"yes\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-controls\" type=\"nomatch\" text=\"yes\">\n<$button class=\"tc-btn-invisible tc-toolbar-icon\"><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"hide-controls\" $value=\"yes\"/>{{$:/plugins/BTC/tiddly-touch/icons!!visibility-off-green}}\n</$button>\n</$reveal>\n</$reveal>\n</$reveal>\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-titles\" type=\"match\" text=\"yes\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-tags\" type=\"match\" text=\"yes\">\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!hide-controls\" type=\"match\" text=\"yes\">\n<$button class=\"tc-btn-invisible tc-toolbar-icon\"><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\"  $field=\"hide-titles\" $value=\"no\"/><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"hide-tags\" $value=\"no\"/><$action-setfield $tiddler=\"$:/plugins/BTC/tiddly-touch/config\" $field=\"hide-controls\" $value=\"no\"/>{{$:/plugins/BTC/tiddly-touch/icons!!visibility-off-red}}\n</$button>\n</$reveal>\n</$reveal>\n</$reveal>",
            "title": "$:/plugins/BTC/tiddly-touch/Buttons/show-hide-titles-tags-controls",
            "tags": "$:/tags/LeftBar $:/tags/Macro",
            "modified": "20180119113438872",
            "description": "hide titles, tags and controls of tiddlers with a state-cycling button",
            "created": "20180106100247999",
            "caption": "{{$:/plugins/BTC/tiddly-touch/icons!!visibility-off-blue}} hide titles, tags and controls"
        },
        "$:/plugins/BTC/tiddly-touch/Buttons/sidebar": {
            "text": "<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!sidebar-new-window\" type=\"nomatch\" text=\"yes\">\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"no\">\n<$button set=\"$:/state/sidebar\" setTo=\"no\" tooltip={{$:/language/Buttons/HideSideBar/Hint}} aria-label={{$:/language/Buttons/HideSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}}</$button>\n</$reveal>\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"no\">\n<$button set=\"$:/state/sidebar\" setTo=\"yes\" tooltip={{$:/language/Buttons/ShowSideBar/Hint}} aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-left}}</$button>\n</$reveal>\n</$reveal>\n<$reveal state=\"$:/plugins/BTC/tiddly-touch/config!!sidebar-new-window\" type=\"match\" text=\"yes\">\n<$button tooltip=\"open sidebar in new window\" aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-left}}\n<$action-sendmessage $message=\"tm-open-window\" $param=\"$:/core/ui/PageTemplate/sidebar-new-window\"/></$button>\n</$reveal>\n",
            "title": "$:/plugins/BTC/tiddly-touch/Buttons/sidebar",
            "modified": "20180102093936338",
            "created": "20180102082231778"
        },
        "$:/plugins/BTC/tiddly-touch/ControlPanel/Toolbars/LeftBar": {
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/LeftBarButtons/Visibility/\n\nChoose which buttons are displayed inside the [[LeftBar|$:/plugins/BTC/tiddly-touch/PageTemplate/LeftBar]]. Drag and drop to change the ordering\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/LeftBar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n",
            "title": "$:/plugins/BTC/tiddly-touch/ControlPanel/Toolbars/LeftBar",
            "tags": "$:/tags/ControlPanel/Toolbars",
            "modified": "20180102122211423",
            "created": "20180102121627295",
            "caption": "LeftBar"
        },
        "$:/plugins/BTC/tiddly-touch/lib/hammer.js": {
            "text": "/*! Hammer.JS - v2.0.7 - 2016-04-22\n * http://hammerjs.github.io/\n *\n * Copyright (c) 2016 Jorik Tangelder;\n * Licensed under the MIT license */\n(function(window, document, exportName, undefined) {\n  'use strict';\n\nvar VENDOR_PREFIXES = ['', 'webkit', 'Moz', 'MS', 'ms', 'o'];\nvar TEST_ELEMENT = document.createElement('div');\n\nvar TYPE_FUNCTION = 'function';\n\nvar round = Math.round;\nvar abs = Math.abs;\nvar now = Date.now;\n\n/**\n * set a timeout with a given scope\n * @param {Function} fn\n * @param {Number} timeout\n * @param {Object} context\n * @returns {number}\n */\nfunction setTimeoutContext(fn, timeout, context) {\n    return setTimeout(bindFn(fn, context), timeout);\n}\n\n/**\n * if the argument is an array, we want to execute the fn on each entry\n * if it aint an array we don't want to do a thing.\n * this is used by all the methods that accept a single and array argument.\n * @param {*|Array} arg\n * @param {String} fn\n * @param {Object} [context]\n * @returns {Boolean}\n */\nfunction invokeArrayArg(arg, fn, context) {\n    if (Array.isArray(arg)) {\n        each(arg, context[fn], context);\n        return true;\n    }\n    return false;\n}\n\n/**\n * walk objects and arrays\n * @param {Object} obj\n * @param {Function} iterator\n * @param {Object} context\n */\nfunction each(obj, iterator, context) {\n    var i;\n\n    if (!obj) {\n        return;\n    }\n\n    if (obj.forEach) {\n        obj.forEach(iterator, context);\n    } else if (obj.length !== undefined) {\n        i = 0;\n        while (i < obj.length) {\n            iterator.call(context, obj[i], i, obj);\n            i++;\n        }\n    } else {\n        for (i in obj) {\n            obj.hasOwnProperty(i) && iterator.call(context, obj[i], i, obj);\n        }\n    }\n}\n\n/**\n * wrap a method with a deprecation warning and stack trace\n * @param {Function} method\n * @param {String} name\n * @param {String} message\n * @returns {Function} A new function wrapping the supplied method.\n */\nfunction deprecate(method, name, message) {\n    var deprecationMessage = 'DEPRECATED METHOD: ' + name + '\\n' + message + ' AT \\n';\n    return function() {\n        var e = new Error('get-stack-trace');\n        var stack = e && e.stack ? e.stack.replace(/^[^\\(]+?[\\n$]/gm, '')\n            .replace(/^\\s+at\\s+/gm, '')\n            .replace(/^Object.<anonymous>\\s*\\(/gm, '{anonymous}()@') : 'Unknown Stack Trace';\n\n        var log = window.console && (window.console.warn || window.console.log);\n        if (log) {\n            log.call(window.console, deprecationMessage, stack);\n        }\n        return method.apply(this, arguments);\n    };\n}\n\n/**\n * extend object.\n * means that properties in dest will be overwritten by the ones in src.\n * @param {Object} target\n * @param {...Object} objects_to_assign\n * @returns {Object} target\n */\nvar assign;\nif (typeof Object.assign !== 'function') {\n    assign = function assign(target) {\n        if (target === undefined || target === null) {\n            throw new TypeError('Cannot convert undefined or null to object');\n        }\n\n        var output = Object(target);\n        for (var index = 1; index < arguments.length; index++) {\n            var source = arguments[index];\n            if (source !== undefined && source !== null) {\n                for (var nextKey in source) {\n                    if (source.hasOwnProperty(nextKey)) {\n                        output[nextKey] = source[nextKey];\n                    }\n                }\n            }\n        }\n        return output;\n    };\n} else {\n    assign = Object.assign;\n}\n\n/**\n * extend object.\n * means that properties in dest will be overwritten by the ones in src.\n * @param {Object} dest\n * @param {Object} src\n * @param {Boolean} [merge=false]\n * @returns {Object} dest\n */\nvar extend = deprecate(function extend(dest, src, merge) {\n    var keys = Object.keys(src);\n    var i = 0;\n    while (i < keys.length) {\n        if (!merge || (merge && dest[keys[i]] === undefined)) {\n            dest[keys[i]] = src[keys[i]];\n        }\n        i++;\n    }\n    return dest;\n}, 'extend', 'Use `assign`.');\n\n/**\n * merge the values from src in the dest.\n * means that properties that exist in dest will not be overwritten by src\n * @param {Object} dest\n * @param {Object} src\n * @returns {Object} dest\n */\nvar merge = deprecate(function merge(dest, src) {\n    return extend(dest, src, true);\n}, 'merge', 'Use `assign`.');\n\n/**\n * simple class inheritance\n * @param {Function} child\n * @param {Function} base\n * @param {Object} [properties]\n */\nfunction inherit(child, base, properties) {\n    var baseP = base.prototype,\n        childP;\n\n    childP = child.prototype = Object.create(baseP);\n    childP.constructor = child;\n    childP._super = baseP;\n\n    if (properties) {\n        assign(childP, properties);\n    }\n}\n\n/**\n * simple function bind\n * @param {Function} fn\n * @param {Object} context\n * @returns {Function}\n */\nfunction bindFn(fn, context) {\n    return function boundFn() {\n        return fn.apply(context, arguments);\n    };\n}\n\n/**\n * let a boolean value also be a function that must return a boolean\n * this first item in args will be used as the context\n * @param {Boolean|Function} val\n * @param {Array} [args]\n * @returns {Boolean}\n */\nfunction boolOrFn(val, args) {\n    if (typeof val == TYPE_FUNCTION) {\n        return val.apply(args ? args[0] || undefined : undefined, args);\n    }\n    return val;\n}\n\n/**\n * use the val2 when val1 is undefined\n * @param {*} val1\n * @param {*} val2\n * @returns {*}\n */\nfunction ifUndefined(val1, val2) {\n    return (val1 === undefined) ? val2 : val1;\n}\n\n/**\n * addEventListener with multiple events at once\n * @param {EventTarget} target\n * @param {String} types\n * @param {Function} handler\n */\nfunction addEventListeners(target, types, handler) {\n    each(splitStr(types), function(type) {\n        target.addEventListener(type, handler, false);\n    });\n}\n\n/**\n * removeEventListener with multiple events at once\n * @param {EventTarget} target\n * @param {String} types\n * @param {Function} handler\n */\nfunction removeEventListeners(target, types, handler) {\n    each(splitStr(types), function(type) {\n        target.removeEventListener(type, handler, false);\n    });\n}\n\n/**\n * find if a node is in the given parent\n * @method hasParent\n * @param {HTMLElement} node\n * @param {HTMLElement} parent\n * @return {Boolean} found\n */\nfunction hasParent(node, parent) {\n    while (node) {\n        if (node == parent) {\n            return true;\n        }\n        node = node.parentNode;\n    }\n    return false;\n}\n\n/**\n * small indexOf wrapper\n * @param {String} str\n * @param {String} find\n * @returns {Boolean} found\n */\nfunction inStr(str, find) {\n    return str.indexOf(find) > -1;\n}\n\n/**\n * split string on whitespace\n * @param {String} str\n * @returns {Array} words\n */\nfunction splitStr(str) {\n    return str.trim().split(/\\s+/g);\n}\n\n/**\n * find if a array contains the object using indexOf or a simple polyFill\n * @param {Array} src\n * @param {String} find\n * @param {String} [findByKey]\n * @return {Boolean|Number} false when not found, or the index\n */\nfunction inArray(src, find, findByKey) {\n    if (src.indexOf && !findByKey) {\n        return src.indexOf(find);\n    } else {\n        var i = 0;\n        while (i < src.length) {\n            if ((findByKey && src[i][findByKey] == find) || (!findByKey && src[i] === find)) {\n                return i;\n            }\n            i++;\n        }\n        return -1;\n    }\n}\n\n/**\n * convert array-like objects to real arrays\n * @param {Object} obj\n * @returns {Array}\n */\nfunction toArray(obj) {\n    return Array.prototype.slice.call(obj, 0);\n}\n\n/**\n * unique array with objects based on a key (like 'id') or just by the array's value\n * @param {Array} src [{id:1},{id:2},{id:1}]\n * @param {String} [key]\n * @param {Boolean} [sort=False]\n * @returns {Array} [{id:1},{id:2}]\n */\nfunction uniqueArray(src, key, sort) {\n    var results = [];\n    var values = [];\n    var i = 0;\n\n    while (i < src.length) {\n        var val = key ? src[i][key] : src[i];\n        if (inArray(values, val) < 0) {\n            results.push(src[i]);\n        }\n        values[i] = val;\n        i++;\n    }\n\n    if (sort) {\n        if (!key) {\n            results = results.sort();\n        } else {\n            results = results.sort(function sortUniqueArray(a, b) {\n                return a[key] > b[key];\n            });\n        }\n    }\n\n    return results;\n}\n\n/**\n * get the prefixed property\n * @param {Object} obj\n * @param {String} property\n * @returns {String|Undefined} prefixed\n */\nfunction prefixed(obj, property) {\n    var prefix, prop;\n    var camelProp = property[0].toUpperCase() + property.slice(1);\n\n    var i = 0;\n    while (i < VENDOR_PREFIXES.length) {\n        prefix = VENDOR_PREFIXES[i];\n        prop = (prefix) ? prefix + camelProp : property;\n\n        if (prop in obj) {\n            return prop;\n        }\n        i++;\n    }\n    return undefined;\n}\n\n/**\n * get a unique id\n * @returns {number} uniqueId\n */\nvar _uniqueId = 1;\nfunction uniqueId() {\n    return _uniqueId++;\n}\n\n/**\n * get the window object of an element\n * @param {HTMLElement} element\n * @returns {DocumentView|Window}\n */\nfunction getWindowForElement(element) {\n    var doc = element.ownerDocument || element;\n    return (doc.defaultView || doc.parentWindow || window);\n}\n\nvar MOBILE_REGEX = /mobile|tablet|ip(ad|hone|od)|android/i;\n\nvar SUPPORT_TOUCH = ('ontouchstart' in window);\nvar SUPPORT_POINTER_EVENTS = prefixed(window, 'PointerEvent') !== undefined;\nvar SUPPORT_ONLY_TOUCH = SUPPORT_TOUCH && MOBILE_REGEX.test(navigator.userAgent);\n\nvar INPUT_TYPE_TOUCH = 'touch';\nvar INPUT_TYPE_PEN = 'pen';\nvar INPUT_TYPE_MOUSE = 'mouse';\nvar INPUT_TYPE_KINECT = 'kinect';\n\nvar COMPUTE_INTERVAL = 25;\n\nvar INPUT_START = 1;\nvar INPUT_MOVE = 2;\nvar INPUT_END = 4;\nvar INPUT_CANCEL = 8;\n\nvar DIRECTION_NONE = 1;\nvar DIRECTION_LEFT = 2;\nvar DIRECTION_RIGHT = 4;\nvar DIRECTION_UP = 8;\nvar DIRECTION_DOWN = 16;\n\nvar DIRECTION_HORIZONTAL = DIRECTION_LEFT | DIRECTION_RIGHT;\nvar DIRECTION_VERTICAL = DIRECTION_UP | DIRECTION_DOWN;\nvar DIRECTION_ALL = DIRECTION_HORIZONTAL | DIRECTION_VERTICAL;\n\nvar PROPS_XY = ['x', 'y'];\nvar PROPS_CLIENT_XY = ['clientX', 'clientY'];\n\n/**\n * create new input type manager\n * @param {Manager} manager\n * @param {Function} callback\n * @returns {Input}\n * @constructor\n */\nfunction Input(manager, callback) {\n    var self = this;\n    this.manager = manager;\n    this.callback = callback;\n    this.element = manager.element;\n    this.target = manager.options.inputTarget;\n\n    // smaller wrapper around the handler, for the scope and the enabled state of the manager,\n    // so when disabled the input events are completely bypassed.\n    this.domHandler = function(ev) {\n        if (boolOrFn(manager.options.enable, [manager])) {\n            self.handler(ev);\n        }\n    };\n\n    this.init();\n\n}\n\nInput.prototype = {\n    /**\n     * should handle the inputEvent data and trigger the callback\n     * @virtual\n     */\n    handler: function() { },\n\n    /**\n     * bind the events\n     */\n    init: function() {\n        this.evEl && addEventListeners(this.element, this.evEl, this.domHandler);\n        this.evTarget && addEventListeners(this.target, this.evTarget, this.domHandler);\n        this.evWin && addEventListeners(getWindowForElement(this.element), this.evWin, this.domHandler);\n    },\n\n    /**\n     * unbind the events\n     */\n    destroy: function() {\n        this.evEl && removeEventListeners(this.element, this.evEl, this.domHandler);\n        this.evTarget && removeEventListeners(this.target, this.evTarget, this.domHandler);\n        this.evWin && removeEventListeners(getWindowForElement(this.element), this.evWin, this.domHandler);\n    }\n};\n\n/**\n * create new input type manager\n * called by the Manager constructor\n * @param {Hammer} manager\n * @returns {Input}\n */\nfunction createInputInstance(manager) {\n    var Type;\n    var inputClass = manager.options.inputClass;\n\n    if (inputClass) {\n        Type = inputClass;\n    } else if (SUPPORT_POINTER_EVENTS) {\n        Type = PointerEventInput;\n    } else if (SUPPORT_ONLY_TOUCH) {\n        Type = TouchInput;\n    } else if (!SUPPORT_TOUCH) {\n        Type = MouseInput;\n    } else {\n        Type = TouchMouseInput;\n    }\n    return new (Type)(manager, inputHandler);\n}\n\n/**\n * handle input events\n * @param {Manager} manager\n * @param {String} eventType\n * @param {Object} input\n */\nfunction inputHandler(manager, eventType, input) {\n    var pointersLen = input.pointers.length;\n    var changedPointersLen = input.changedPointers.length;\n    var isFirst = (eventType & INPUT_START && (pointersLen - changedPointersLen === 0));\n    var isFinal = (eventType & (INPUT_END | INPUT_CANCEL) && (pointersLen - changedPointersLen === 0));\n\n    input.isFirst = !!isFirst;\n    input.isFinal = !!isFinal;\n\n    if (isFirst) {\n        manager.session = {};\n    }\n\n    // source event is the normalized value of the domEvents\n    // like 'touchstart, mouseup, pointerdown'\n    input.eventType = eventType;\n\n    // compute scale, rotation etc\n    computeInputData(manager, input);\n\n    // emit secret event\n    manager.emit('hammer.input', input);\n\n    manager.recognize(input);\n    manager.session.prevInput = input;\n}\n\n/**\n * extend the data with some usable properties like scale, rotate, velocity etc\n * @param {Object} manager\n * @param {Object} input\n */\nfunction computeInputData(manager, input) {\n    var session = manager.session;\n    var pointers = input.pointers;\n    var pointersLength = pointers.length;\n\n    // store the first input to calculate the distance and direction\n    if (!session.firstInput) {\n        session.firstInput = simpleCloneInputData(input);\n    }\n\n    // to compute scale and rotation we need to store the multiple touches\n    if (pointersLength > 1 && !session.firstMultiple) {\n        session.firstMultiple = simpleCloneInputData(input);\n    } else if (pointersLength === 1) {\n        session.firstMultiple = false;\n    }\n\n    var firstInput = session.firstInput;\n    var firstMultiple = session.firstMultiple;\n    var offsetCenter = firstMultiple ? firstMultiple.center : firstInput.center;\n\n    var center = input.center = getCenter(pointers);\n    input.timeStamp = now();\n    input.deltaTime = input.timeStamp - firstInput.timeStamp;\n\n    input.angle = getAngle(offsetCenter, center);\n    input.distance = getDistance(offsetCenter, center);\n\n    computeDeltaXY(session, input);\n    input.offsetDirection = getDirection(input.deltaX, input.deltaY);\n\n    var overallVelocity = getVelocity(input.deltaTime, input.deltaX, input.deltaY);\n    input.overallVelocityX = overallVelocity.x;\n    input.overallVelocityY = overallVelocity.y;\n    input.overallVelocity = (abs(overallVelocity.x) > abs(overallVelocity.y)) ? overallVelocity.x : overallVelocity.y;\n\n    input.scale = firstMultiple ? getScale(firstMultiple.pointers, pointers) : 1;\n    input.rotation = firstMultiple ? getRotation(firstMultiple.pointers, pointers) : 0;\n\n    input.maxPointers = !session.prevInput ? input.pointers.length : ((input.pointers.length >\n        session.prevInput.maxPointers) ? input.pointers.length : session.prevInput.maxPointers);\n\n    computeIntervalInputData(session, input);\n\n    // find the correct target\n    var target = manager.element;\n    if (hasParent(input.srcEvent.target, target)) {\n        target = input.srcEvent.target;\n    }\n    input.target = target;\n}\n\nfunction computeDeltaXY(session, input) {\n    var center = input.center;\n    var offset = session.offsetDelta || {};\n    var prevDelta = session.prevDelta || {};\n    var prevInput = session.prevInput || {};\n\n    if (input.eventType === INPUT_START || prevInput.eventType === INPUT_END) {\n        prevDelta = session.prevDelta = {\n            x: prevInput.deltaX || 0,\n            y: prevInput.deltaY || 0\n        };\n\n        offset = session.offsetDelta = {\n            x: center.x,\n            y: center.y\n        };\n    }\n\n    input.deltaX = prevDelta.x + (center.x - offset.x);\n    input.deltaY = prevDelta.y + (center.y - offset.y);\n}\n\n/**\n * velocity is calculated every x ms\n * @param {Object} session\n * @param {Object} input\n */\nfunction computeIntervalInputData(session, input) {\n    var last = session.lastInterval || input,\n        deltaTime = input.timeStamp - last.timeStamp,\n        velocity, velocityX, velocityY, direction;\n\n    if (input.eventType != INPUT_CANCEL && (deltaTime > COMPUTE_INTERVAL || last.velocity === undefined)) {\n        var deltaX = input.deltaX - last.deltaX;\n        var deltaY = input.deltaY - last.deltaY;\n\n        var v = getVelocity(deltaTime, deltaX, deltaY);\n        velocityX = v.x;\n        velocityY = v.y;\n        velocity = (abs(v.x) > abs(v.y)) ? v.x : v.y;\n        direction = getDirection(deltaX, deltaY);\n\n        session.lastInterval = input;\n    } else {\n        // use latest velocity info if it doesn't overtake a minimum period\n        velocity = last.velocity;\n        velocityX = last.velocityX;\n        velocityY = last.velocityY;\n        direction = last.direction;\n    }\n\n    input.velocity = velocity;\n    input.velocityX = velocityX;\n    input.velocityY = velocityY;\n    input.direction = direction;\n}\n\n/**\n * create a simple clone from the input used for storage of firstInput and firstMultiple\n * @param {Object} input\n * @returns {Object} clonedInputData\n */\nfunction simpleCloneInputData(input) {\n    // make a simple copy of the pointers because we will get a reference if we don't\n    // we only need clientXY for the calculations\n    var pointers = [];\n    var i = 0;\n    while (i < input.pointers.length) {\n        pointers[i] = {\n            clientX: round(input.pointers[i].clientX),\n            clientY: round(input.pointers[i].clientY)\n        };\n        i++;\n    }\n\n    return {\n        timeStamp: now(),\n        pointers: pointers,\n        center: getCenter(pointers),\n        deltaX: input.deltaX,\n        deltaY: input.deltaY\n    };\n}\n\n/**\n * get the center of all the pointers\n * @param {Array} pointers\n * @return {Object} center contains `x` and `y` properties\n */\nfunction getCenter(pointers) {\n    var pointersLength = pointers.length;\n\n    // no need to loop when only one touch\n    if (pointersLength === 1) {\n        return {\n            x: round(pointers[0].clientX),\n            y: round(pointers[0].clientY)\n        };\n    }\n\n    var x = 0, y = 0, i = 0;\n    while (i < pointersLength) {\n        x += pointers[i].clientX;\n        y += pointers[i].clientY;\n        i++;\n    }\n\n    return {\n        x: round(x / pointersLength),\n        y: round(y / pointersLength)\n    };\n}\n\n/**\n * calculate the velocity between two points. unit is in px per ms.\n * @param {Number} deltaTime\n * @param {Number} x\n * @param {Number} y\n * @return {Object} velocity `x` and `y`\n */\nfunction getVelocity(deltaTime, x, y) {\n    return {\n        x: x / deltaTime || 0,\n        y: y / deltaTime || 0\n    };\n}\n\n/**\n * get the direction between two points\n * @param {Number} x\n * @param {Number} y\n * @return {Number} direction\n */\nfunction getDirection(x, y) {\n    if (x === y) {\n        return DIRECTION_NONE;\n    }\n\n    if (abs(x) >= abs(y)) {\n        return x < 0 ? DIRECTION_LEFT : DIRECTION_RIGHT;\n    }\n    return y < 0 ? DIRECTION_UP : DIRECTION_DOWN;\n}\n\n/**\n * calculate the absolute distance between two points\n * @param {Object} p1 {x, y}\n * @param {Object} p2 {x, y}\n * @param {Array} [props] containing x and y keys\n * @return {Number} distance\n */\nfunction getDistance(p1, p2, props) {\n    if (!props) {\n        props = PROPS_XY;\n    }\n    var x = p2[props[0]] - p1[props[0]],\n        y = p2[props[1]] - p1[props[1]];\n\n    return Math.sqrt((x * x) + (y * y));\n}\n\n/**\n * calculate the angle between two coordinates\n * @param {Object} p1\n * @param {Object} p2\n * @param {Array} [props] containing x and y keys\n * @return {Number} angle\n */\nfunction getAngle(p1, p2, props) {\n    if (!props) {\n        props = PROPS_XY;\n    }\n    var x = p2[props[0]] - p1[props[0]],\n        y = p2[props[1]] - p1[props[1]];\n    return Math.atan2(y, x) * 180 / Math.PI;\n}\n\n/**\n * calculate the rotation degrees between two pointersets\n * @param {Array} start array of pointers\n * @param {Array} end array of pointers\n * @return {Number} rotation\n */\nfunction getRotation(start, end) {\n    return getAngle(end[1], end[0], PROPS_CLIENT_XY) + getAngle(start[1], start[0], PROPS_CLIENT_XY);\n}\n\n/**\n * calculate the scale factor between two pointersets\n * no scale is 1, and goes down to 0 when pinched together, and bigger when pinched out\n * @param {Array} start array of pointers\n * @param {Array} end array of pointers\n * @return {Number} scale\n */\nfunction getScale(start, end) {\n    return getDistance(end[0], end[1], PROPS_CLIENT_XY) / getDistance(start[0], start[1], PROPS_CLIENT_XY);\n}\n\nvar MOUSE_INPUT_MAP = {\n    mousedown: INPUT_START,\n    mousemove: INPUT_MOVE,\n    mouseup: INPUT_END\n};\n\nvar MOUSE_ELEMENT_EVENTS = 'mousedown';\nvar MOUSE_WINDOW_EVENTS = 'mousemove mouseup';\n\n/**\n * Mouse events input\n * @constructor\n * @extends Input\n */\nfunction MouseInput() {\n    this.evEl = MOUSE_ELEMENT_EVENTS;\n    this.evWin = MOUSE_WINDOW_EVENTS;\n\n    this.pressed = false; // mousedown state\n\n    Input.apply(this, arguments);\n}\n\ninherit(MouseInput, Input, {\n    /**\n     * handle mouse events\n     * @param {Object} ev\n     */\n    handler: function MEhandler(ev) {\n        var eventType = MOUSE_INPUT_MAP[ev.type];\n\n        // on start we want to have the left mouse button down\n        if (eventType & INPUT_START && ev.button === 0) {\n            this.pressed = true;\n        }\n\n        if (eventType & INPUT_MOVE && ev.which !== 1) {\n            eventType = INPUT_END;\n        }\n\n        // mouse must be down\n        if (!this.pressed) {\n            return;\n        }\n\n        if (eventType & INPUT_END) {\n            this.pressed = false;\n        }\n\n        this.callback(this.manager, eventType, {\n            pointers: [ev],\n            changedPointers: [ev],\n            pointerType: INPUT_TYPE_MOUSE,\n            srcEvent: ev\n        });\n    }\n});\n\nvar POINTER_INPUT_MAP = {\n    pointerdown: INPUT_START,\n    pointermove: INPUT_MOVE,\n    pointerup: INPUT_END,\n    pointercancel: INPUT_CANCEL,\n    pointerout: INPUT_CANCEL\n};\n\n// in IE10 the pointer types is defined as an enum\nvar IE10_POINTER_TYPE_ENUM = {\n    2: INPUT_TYPE_TOUCH,\n    3: INPUT_TYPE_PEN,\n    4: INPUT_TYPE_MOUSE,\n    5: INPUT_TYPE_KINECT // see https://twitter.com/jacobrossi/status/480596438489890816\n};\n\nvar POINTER_ELEMENT_EVENTS = 'pointerdown';\nvar POINTER_WINDOW_EVENTS = 'pointermove pointerup pointercancel';\n\n// IE10 has prefixed support, and case-sensitive\nif (window.MSPointerEvent && !window.PointerEvent) {\n    POINTER_ELEMENT_EVENTS = 'MSPointerDown';\n    POINTER_WINDOW_EVENTS = 'MSPointerMove MSPointerUp MSPointerCancel';\n}\n\n/**\n * Pointer events input\n * @constructor\n * @extends Input\n */\nfunction PointerEventInput() {\n    this.evEl = POINTER_ELEMENT_EVENTS;\n    this.evWin = POINTER_WINDOW_EVENTS;\n\n    Input.apply(this, arguments);\n\n    this.store = (this.manager.session.pointerEvents = []);\n}\n\ninherit(PointerEventInput, Input, {\n    /**\n     * handle mouse events\n     * @param {Object} ev\n     */\n    handler: function PEhandler(ev) {\n        var store = this.store;\n        var removePointer = false;\n\n        var eventTypeNormalized = ev.type.toLowerCase().replace('ms', '');\n        var eventType = POINTER_INPUT_MAP[eventTypeNormalized];\n        var pointerType = IE10_POINTER_TYPE_ENUM[ev.pointerType] || ev.pointerType;\n\n        var isTouch = (pointerType == INPUT_TYPE_TOUCH);\n\n        // get index of the event in the store\n        var storeIndex = inArray(store, ev.pointerId, 'pointerId');\n\n        // start and mouse must be down\n        if (eventType & INPUT_START && (ev.button === 0 || isTouch)) {\n            if (storeIndex < 0) {\n                store.push(ev);\n                storeIndex = store.length - 1;\n            }\n        } else if (eventType & (INPUT_END | INPUT_CANCEL)) {\n            removePointer = true;\n        }\n\n        // it not found, so the pointer hasn't been down (so it's probably a hover)\n        if (storeIndex < 0) {\n            return;\n        }\n\n        // update the event in the store\n        store[storeIndex] = ev;\n\n        this.callback(this.manager, eventType, {\n            pointers: store,\n            changedPointers: [ev],\n            pointerType: pointerType,\n            srcEvent: ev\n        });\n\n        if (removePointer) {\n            // remove from the store\n            store.splice(storeIndex, 1);\n        }\n    }\n});\n\nvar SINGLE_TOUCH_INPUT_MAP = {\n    touchstart: INPUT_START,\n    touchmove: INPUT_MOVE,\n    touchend: INPUT_END,\n    touchcancel: INPUT_CANCEL\n};\n\nvar SINGLE_TOUCH_TARGET_EVENTS = 'touchstart';\nvar SINGLE_TOUCH_WINDOW_EVENTS = 'touchstart touchmove touchend touchcancel';\n\n/**\n * Touch events input\n * @constructor\n * @extends Input\n */\nfunction SingleTouchInput() {\n    this.evTarget = SINGLE_TOUCH_TARGET_EVENTS;\n    this.evWin = SINGLE_TOUCH_WINDOW_EVENTS;\n    this.started = false;\n\n    Input.apply(this, arguments);\n}\n\ninherit(SingleTouchInput, Input, {\n    handler: function TEhandler(ev) {\n        var type = SINGLE_TOUCH_INPUT_MAP[ev.type];\n\n        // should we handle the touch events?\n        if (type === INPUT_START) {\n            this.started = true;\n        }\n\n        if (!this.started) {\n            return;\n        }\n\n        var touches = normalizeSingleTouches.call(this, ev, type);\n\n        // when done, reset the started state\n        if (type & (INPUT_END | INPUT_CANCEL) && touches[0].length - touches[1].length === 0) {\n            this.started = false;\n        }\n\n        this.callback(this.manager, type, {\n            pointers: touches[0],\n            changedPointers: touches[1],\n            pointerType: INPUT_TYPE_TOUCH,\n            srcEvent: ev\n        });\n    }\n});\n\n/**\n * @this {TouchInput}\n * @param {Object} ev\n * @param {Number} type flag\n * @returns {undefined|Array} [all, changed]\n */\nfunction normalizeSingleTouches(ev, type) {\n    var all = toArray(ev.touches);\n    var changed = toArray(ev.changedTouches);\n\n    if (type & (INPUT_END | INPUT_CANCEL)) {\n        all = uniqueArray(all.concat(changed), 'identifier', true);\n    }\n\n    return [all, changed];\n}\n\nvar TOUCH_INPUT_MAP = {\n    touchstart: INPUT_START,\n    touchmove: INPUT_MOVE,\n    touchend: INPUT_END,\n    touchcancel: INPUT_CANCEL\n};\n\nvar TOUCH_TARGET_EVENTS = 'touchstart touchmove touchend touchcancel';\n\n/**\n * Multi-user touch events input\n * @constructor\n * @extends Input\n */\nfunction TouchInput() {\n    this.evTarget = TOUCH_TARGET_EVENTS;\n    this.targetIds = {};\n\n    Input.apply(this, arguments);\n}\n\ninherit(TouchInput, Input, {\n    handler: function MTEhandler(ev) {\n        var type = TOUCH_INPUT_MAP[ev.type];\n        var touches = getTouches.call(this, ev, type);\n        if (!touches) {\n            return;\n        }\n\n        this.callback(this.manager, type, {\n            pointers: touches[0],\n            changedPointers: touches[1],\n            pointerType: INPUT_TYPE_TOUCH,\n            srcEvent: ev\n        });\n    }\n});\n\n/**\n * @this {TouchInput}\n * @param {Object} ev\n * @param {Number} type flag\n * @returns {undefined|Array} [all, changed]\n */\nfunction getTouches(ev, type) {\n    var allTouches = toArray(ev.touches);\n    var targetIds = this.targetIds;\n\n    // when there is only one touch, the process can be simplified\n    if (type & (INPUT_START | INPUT_MOVE) && allTouches.length === 1) {\n        targetIds[allTouches[0].identifier] = true;\n        return [allTouches, allTouches];\n    }\n\n    var i,\n        targetTouches,\n        changedTouches = toArray(ev.changedTouches),\n        changedTargetTouches = [],\n        target = this.target;\n\n    // get target touches from touches\n    targetTouches = allTouches.filter(function(touch) {\n        return hasParent(touch.target, target);\n    });\n\n    // collect touches\n    if (type === INPUT_START) {\n        i = 0;\n        while (i < targetTouches.length) {\n            targetIds[targetTouches[i].identifier] = true;\n            i++;\n        }\n    }\n\n    // filter changed touches to only contain touches that exist in the collected target ids\n    i = 0;\n    while (i < changedTouches.length) {\n        if (targetIds[changedTouches[i].identifier]) {\n            changedTargetTouches.push(changedTouches[i]);\n        }\n\n        // cleanup removed touches\n        if (type & (INPUT_END | INPUT_CANCEL)) {\n            delete targetIds[changedTouches[i].identifier];\n        }\n        i++;\n    }\n\n    if (!changedTargetTouches.length) {\n        return;\n    }\n\n    return [\n        // merge targetTouches with changedTargetTouches so it contains ALL touches, including 'end' and 'cancel'\n        uniqueArray(targetTouches.concat(changedTargetTouches), 'identifier', true),\n        changedTargetTouches\n    ];\n}\n\n/**\n * Combined touch and mouse input\n *\n * Touch has a higher priority then mouse, and while touching no mouse events are allowed.\n * This because touch devices also emit mouse events while doing a touch.\n *\n * @constructor\n * @extends Input\n */\n\nvar DEDUP_TIMEOUT = 2500;\nvar DEDUP_DISTANCE = 25;\n\nfunction TouchMouseInput() {\n    Input.apply(this, arguments);\n\n    var handler = bindFn(this.handler, this);\n    this.touch = new TouchInput(this.manager, handler);\n    this.mouse = new MouseInput(this.manager, handler);\n\n    this.primaryTouch = null;\n    this.lastTouches = [];\n}\n\ninherit(TouchMouseInput, Input, {\n    /**\n     * handle mouse and touch events\n     * @param {Hammer} manager\n     * @param {String} inputEvent\n     * @param {Object} inputData\n     */\n    handler: function TMEhandler(manager, inputEvent, inputData) {\n        var isTouch = (inputData.pointerType == INPUT_TYPE_TOUCH),\n            isMouse = (inputData.pointerType == INPUT_TYPE_MOUSE);\n\n        if (isMouse && inputData.sourceCapabilities && inputData.sourceCapabilities.firesTouchEvents) {\n            return;\n        }\n\n        // when we're in a touch event, record touches to  de-dupe synthetic mouse event\n        if (isTouch) {\n            recordTouches.call(this, inputEvent, inputData);\n        } else if (isMouse && isSyntheticEvent.call(this, inputData)) {\n            return;\n        }\n\n        this.callback(manager, inputEvent, inputData);\n    },\n\n    /**\n     * remove the event listeners\n     */\n    destroy: function destroy() {\n        this.touch.destroy();\n        this.mouse.destroy();\n    }\n});\n\nfunction recordTouches(eventType, eventData) {\n    if (eventType & INPUT_START) {\n        this.primaryTouch = eventData.changedPointers[0].identifier;\n        setLastTouch.call(this, eventData);\n    } else if (eventType & (INPUT_END | INPUT_CANCEL)) {\n        setLastTouch.call(this, eventData);\n    }\n}\n\nfunction setLastTouch(eventData) {\n    var touch = eventData.changedPointers[0];\n\n    if (touch.identifier === this.primaryTouch) {\n        var lastTouch = {x: touch.clientX, y: touch.clientY};\n        this.lastTouches.push(lastTouch);\n        var lts = this.lastTouches;\n        var removeLastTouch = function() {\n            var i = lts.indexOf(lastTouch);\n            if (i > -1) {\n                lts.splice(i, 1);\n            }\n        };\n        setTimeout(removeLastTouch, DEDUP_TIMEOUT);\n    }\n}\n\nfunction isSyntheticEvent(eventData) {\n    var x = eventData.srcEvent.clientX, y = eventData.srcEvent.clientY;\n    for (var i = 0; i < this.lastTouches.length; i++) {\n        var t = this.lastTouches[i];\n        var dx = Math.abs(x - t.x), dy = Math.abs(y - t.y);\n        if (dx <= DEDUP_DISTANCE && dy <= DEDUP_DISTANCE) {\n            return true;\n        }\n    }\n    return false;\n}\n\nvar PREFIXED_TOUCH_ACTION = prefixed(TEST_ELEMENT.style, 'touchAction');\nvar NATIVE_TOUCH_ACTION = PREFIXED_TOUCH_ACTION !== undefined;\n\n// magical touchAction value\nvar TOUCH_ACTION_COMPUTE = 'compute';\nvar TOUCH_ACTION_AUTO = 'auto';\nvar TOUCH_ACTION_MANIPULATION = 'manipulation'; // not implemented\nvar TOUCH_ACTION_NONE = 'none';\nvar TOUCH_ACTION_PAN_X = 'pan-x';\nvar TOUCH_ACTION_PAN_Y = 'pan-y';\nvar TOUCH_ACTION_MAP = getTouchActionProps();\n\n/**\n * Touch Action\n * sets the touchAction property or uses the js alternative\n * @param {Manager} manager\n * @param {String} value\n * @constructor\n */\nfunction TouchAction(manager, value) {\n    this.manager = manager;\n    this.set(value);\n}\n\nTouchAction.prototype = {\n    /**\n     * set the touchAction value on the element or enable the polyfill\n     * @param {String} value\n     */\n    set: function(value) {\n        // find out the touch-action by the event handlers\n        if (value == TOUCH_ACTION_COMPUTE) {\n            value = this.compute();\n        }\n\n        if (NATIVE_TOUCH_ACTION && this.manager.element.style && TOUCH_ACTION_MAP[value]) {\n            this.manager.element.style[PREFIXED_TOUCH_ACTION] = value;\n        }\n        this.actions = value.toLowerCase().trim();\n    },\n\n    /**\n     * just re-set the touchAction value\n     */\n    update: function() {\n        this.set(this.manager.options.touchAction);\n    },\n\n    /**\n     * compute the value for the touchAction property based on the recognizer's settings\n     * @returns {String} value\n     */\n    compute: function() {\n        var actions = [];\n        each(this.manager.recognizers, function(recognizer) {\n            if (boolOrFn(recognizer.options.enable, [recognizer])) {\n                actions = actions.concat(recognizer.getTouchAction());\n            }\n        });\n        return cleanTouchActions(actions.join(' '));\n    },\n\n    /**\n     * this method is called on each input cycle and provides the preventing of the browser behavior\n     * @param {Object} input\n     */\n    preventDefaults: function(input) {\n        var srcEvent = input.srcEvent;\n        var direction = input.offsetDirection;\n\n        // if the touch action did prevented once this session\n        if (this.manager.session.prevented) {\n            srcEvent.preventDefault();\n            return;\n        }\n\n        var actions = this.actions;\n        var hasNone = inStr(actions, TOUCH_ACTION_NONE) && !TOUCH_ACTION_MAP[TOUCH_ACTION_NONE];\n        var hasPanY = inStr(actions, TOUCH_ACTION_PAN_Y) && !TOUCH_ACTION_MAP[TOUCH_ACTION_PAN_Y];\n        var hasPanX = inStr(actions, TOUCH_ACTION_PAN_X) && !TOUCH_ACTION_MAP[TOUCH_ACTION_PAN_X];\n\n        if (hasNone) {\n            //do not prevent defaults if this is a tap gesture\n\n            var isTapPointer = input.pointers.length === 1;\n            var isTapMovement = input.distance < 2;\n            var isTapTouchTime = input.deltaTime < 250;\n\n            if (isTapPointer && isTapMovement && isTapTouchTime) {\n                return;\n            }\n        }\n\n        if (hasPanX && hasPanY) {\n            // `pan-x pan-y` means browser handles all scrolling/panning, do not prevent\n            return;\n        }\n\n        if (hasNone ||\n            (hasPanY && direction & DIRECTION_HORIZONTAL) ||\n            (hasPanX && direction & DIRECTION_VERTICAL)) {\n            return this.preventSrc(srcEvent);\n        }\n    },\n\n    /**\n     * call preventDefault to prevent the browser's default behavior (scrolling in most cases)\n     * @param {Object} srcEvent\n     */\n    preventSrc: function(srcEvent) {\n        this.manager.session.prevented = true;\n        srcEvent.preventDefault();\n    }\n};\n\n/**\n * when the touchActions are collected they are not a valid value, so we need to clean things up. *\n * @param {String} actions\n * @returns {*}\n */\nfunction cleanTouchActions(actions) {\n    // none\n    if (inStr(actions, TOUCH_ACTION_NONE)) {\n        return TOUCH_ACTION_NONE;\n    }\n\n    var hasPanX = inStr(actions, TOUCH_ACTION_PAN_X);\n    var hasPanY = inStr(actions, TOUCH_ACTION_PAN_Y);\n\n    // if both pan-x and pan-y are set (different recognizers\n    // for different directions, e.g. horizontal pan but vertical swipe?)\n    // we need none (as otherwise with pan-x pan-y combined none of these\n    // recognizers will work, since the browser would handle all panning\n    if (hasPanX && hasPanY) {\n        return TOUCH_ACTION_NONE;\n    }\n\n    // pan-x OR pan-y\n    if (hasPanX || hasPanY) {\n        return hasPanX ? TOUCH_ACTION_PAN_X : TOUCH_ACTION_PAN_Y;\n    }\n\n    // manipulation\n    if (inStr(actions, TOUCH_ACTION_MANIPULATION)) {\n        return TOUCH_ACTION_MANIPULATION;\n    }\n\n    return TOUCH_ACTION_AUTO;\n}\n\nfunction getTouchActionProps() {\n    if (!NATIVE_TOUCH_ACTION) {\n        return false;\n    }\n    var touchMap = {};\n    var cssSupports = window.CSS && window.CSS.supports;\n    ['auto', 'manipulation', 'pan-y', 'pan-x', 'pan-x pan-y', 'none'].forEach(function(val) {\n\n        // If css.supports is not supported but there is native touch-action assume it supports\n        // all values. This is the case for IE 10 and 11.\n        touchMap[val] = cssSupports ? window.CSS.supports('touch-action', val) : true;\n    });\n    return touchMap;\n}\n\n/**\n * Recognizer flow explained; *\n * All recognizers have the initial state of POSSIBLE when a input session starts.\n * The definition of a input session is from the first input until the last input, with all it's movement in it. *\n * Example session for mouse-input: mousedown -> mousemove -> mouseup\n *\n * On each recognizing cycle (see Manager.recognize) the .recognize() method is executed\n * which determines with state it should be.\n *\n * If the recognizer has the state FAILED, CANCELLED or RECOGNIZED (equals ENDED), it is reset to\n * POSSIBLE to give it another change on the next cycle.\n *\n *               Possible\n *                  |\n *            +-----+---------------+\n *            |                     |\n *      +-----+-----+               |\n *      |           |               |\n *   Failed      Cancelled          |\n *                          +-------+------+\n *                          |              |\n *                      Recognized       Began\n *                                         |\n *                                      Changed\n *                                         |\n *                                  Ended/Recognized\n */\nvar STATE_POSSIBLE = 1;\nvar STATE_BEGAN = 2;\nvar STATE_CHANGED = 4;\nvar STATE_ENDED = 8;\nvar STATE_RECOGNIZED = STATE_ENDED;\nvar STATE_CANCELLED = 16;\nvar STATE_FAILED = 32;\n\n/**\n * Recognizer\n * Every recognizer needs to extend from this class.\n * @constructor\n * @param {Object} options\n */\nfunction Recognizer(options) {\n    this.options = assign({}, this.defaults, options || {});\n\n    this.id = uniqueId();\n\n    this.manager = null;\n\n    // default is enable true\n    this.options.enable = ifUndefined(this.options.enable, true);\n\n    this.state = STATE_POSSIBLE;\n\n    this.simultaneous = {};\n    this.requireFail = [];\n}\n\nRecognizer.prototype = {\n    /**\n     * @virtual\n     * @type {Object}\n     */\n    defaults: {},\n\n    /**\n     * set options\n     * @param {Object} options\n     * @return {Recognizer}\n     */\n    set: function(options) {\n        assign(this.options, options);\n\n        // also update the touchAction, in case something changed about the directions/enabled state\n        this.manager && this.manager.touchAction.update();\n        return this;\n    },\n\n    /**\n     * recognize simultaneous with an other recognizer.\n     * @param {Recognizer} otherRecognizer\n     * @returns {Recognizer} this\n     */\n    recognizeWith: function(otherRecognizer) {\n        if (invokeArrayArg(otherRecognizer, 'recognizeWith', this)) {\n            return this;\n        }\n\n        var simultaneous = this.simultaneous;\n        otherRecognizer = getRecognizerByNameIfManager(otherRecognizer, this);\n        if (!simultaneous[otherRecognizer.id]) {\n            simultaneous[otherRecognizer.id] = otherRecognizer;\n            otherRecognizer.recognizeWith(this);\n        }\n        return this;\n    },\n\n    /**\n     * drop the simultaneous link. it doesnt remove the link on the other recognizer.\n     * @param {Recognizer} otherRecognizer\n     * @returns {Recognizer} this\n     */\n    dropRecognizeWith: function(otherRecognizer) {\n        if (invokeArrayArg(otherRecognizer, 'dropRecognizeWith', this)) {\n            return this;\n        }\n\n        otherRecognizer = getRecognizerByNameIfManager(otherRecognizer, this);\n        delete this.simultaneous[otherRecognizer.id];\n        return this;\n    },\n\n    /**\n     * recognizer can only run when an other is failing\n     * @param {Recognizer} otherRecognizer\n     * @returns {Recognizer} this\n     */\n    requireFailure: function(otherRecognizer) {\n        if (invokeArrayArg(otherRecognizer, 'requireFailure', this)) {\n            return this;\n        }\n\n        var requireFail = this.requireFail;\n        otherRecognizer = getRecognizerByNameIfManager(otherRecognizer, this);\n        if (inArray(requireFail, otherRecognizer) === -1) {\n            requireFail.push(otherRecognizer);\n            otherRecognizer.requireFailure(this);\n        }\n        return this;\n    },\n\n    /**\n     * drop the requireFailure link. it does not remove the link on the other recognizer.\n     * @param {Recognizer} otherRecognizer\n     * @returns {Recognizer} this\n     */\n    dropRequireFailure: function(otherRecognizer) {\n        if (invokeArrayArg(otherRecognizer, 'dropRequireFailure', this)) {\n            return this;\n        }\n\n        otherRecognizer = getRecognizerByNameIfManager(otherRecognizer, this);\n        var index = inArray(this.requireFail, otherRecognizer);\n        if (index > -1) {\n            this.requireFail.splice(index, 1);\n        }\n        return this;\n    },\n\n    /**\n     * has require failures boolean\n     * @returns {boolean}\n     */\n    hasRequireFailures: function() {\n        return this.requireFail.length > 0;\n    },\n\n    /**\n     * if the recognizer can recognize simultaneous with an other recognizer\n     * @param {Recognizer} otherRecognizer\n     * @returns {Boolean}\n     */\n    canRecognizeWith: function(otherRecognizer) {\n        return !!this.simultaneous[otherRecognizer.id];\n    },\n\n    /**\n     * You should use `tryEmit` instead of `emit` directly to check\n     * that all the needed recognizers has failed before emitting.\n     * @param {Object} input\n     */\n    emit: function(input) {\n        var self = this;\n        var state = this.state;\n\n        function emit(event) {\n            self.manager.emit(event, input);\n        }\n\n        // 'panstart' and 'panmove'\n        if (state < STATE_ENDED) {\n            emit(self.options.event + stateStr(state));\n        }\n\n        emit(self.options.event); // simple 'eventName' events\n\n        if (input.additionalEvent) { // additional event(panleft, panright, pinchin, pinchout...)\n            emit(input.additionalEvent);\n        }\n\n        // panend and pancancel\n        if (state >= STATE_ENDED) {\n            emit(self.options.event + stateStr(state));\n        }\n    },\n\n    /**\n     * Check that all the require failure recognizers has failed,\n     * if true, it emits a gesture event,\n     * otherwise, setup the state to FAILED.\n     * @param {Object} input\n     */\n    tryEmit: function(input) {\n        if (this.canEmit()) {\n            return this.emit(input);\n        }\n        // it's failing anyway\n        this.state = STATE_FAILED;\n    },\n\n    /**\n     * can we emit?\n     * @returns {boolean}\n     */\n    canEmit: function() {\n        var i = 0;\n        while (i < this.requireFail.length) {\n            if (!(this.requireFail[i].state & (STATE_FAILED | STATE_POSSIBLE))) {\n                return false;\n            }\n            i++;\n        }\n        return true;\n    },\n\n    /**\n     * update the recognizer\n     * @param {Object} inputData\n     */\n    recognize: function(inputData) {\n        // make a new copy of the inputData\n        // so we can change the inputData without messing up the other recognizers\n        var inputDataClone = assign({}, inputData);\n\n        // is is enabled and allow recognizing?\n        if (!boolOrFn(this.options.enable, [this, inputDataClone])) {\n            this.reset();\n            this.state = STATE_FAILED;\n            return;\n        }\n\n        // reset when we've reached the end\n        if (this.state & (STATE_RECOGNIZED | STATE_CANCELLED | STATE_FAILED)) {\n            this.state = STATE_POSSIBLE;\n        }\n\n        this.state = this.process(inputDataClone);\n\n        // the recognizer has recognized a gesture\n        // so trigger an event\n        if (this.state & (STATE_BEGAN | STATE_CHANGED | STATE_ENDED | STATE_CANCELLED)) {\n            this.tryEmit(inputDataClone);\n        }\n    },\n\n    /**\n     * return the state of the recognizer\n     * the actual recognizing happens in this method\n     * @virtual\n     * @param {Object} inputData\n     * @returns {Const} STATE\n     */\n    process: function(inputData) { }, // jshint ignore:line\n\n    /**\n     * return the preferred touch-action\n     * @virtual\n     * @returns {Array}\n     */\n    getTouchAction: function() { },\n\n    /**\n     * called when the gesture isn't allowed to recognize\n     * like when another is being recognized or it is disabled\n     * @virtual\n     */\n    reset: function() { }\n};\n\n/**\n * get a usable string, used as event postfix\n * @param {Const} state\n * @returns {String} state\n */\nfunction stateStr(state) {\n    if (state & STATE_CANCELLED) {\n        return 'cancel';\n    } else if (state & STATE_ENDED) {\n        return 'end';\n    } else if (state & STATE_CHANGED) {\n        return 'move';\n    } else if (state & STATE_BEGAN) {\n        return 'start';\n    }\n    return '';\n}\n\n/**\n * direction cons to string\n * @param {Const} direction\n * @returns {String}\n */\nfunction directionStr(direction) {\n    if (direction == DIRECTION_DOWN) {\n        return 'down';\n    } else if (direction == DIRECTION_UP) {\n        return 'up';\n    } else if (direction == DIRECTION_LEFT) {\n        return 'left';\n    } else if (direction == DIRECTION_RIGHT) {\n        return 'right';\n    }\n    return '';\n}\n\n/**\n * get a recognizer by name if it is bound to a manager\n * @param {Recognizer|String} otherRecognizer\n * @param {Recognizer} recognizer\n * @returns {Recognizer}\n */\nfunction getRecognizerByNameIfManager(otherRecognizer, recognizer) {\n    var manager = recognizer.manager;\n    if (manager) {\n        return manager.get(otherRecognizer);\n    }\n    return otherRecognizer;\n}\n\n/**\n * This recognizer is just used as a base for the simple attribute recognizers.\n * @constructor\n * @extends Recognizer\n */\nfunction AttrRecognizer() {\n    Recognizer.apply(this, arguments);\n}\n\ninherit(AttrRecognizer, Recognizer, {\n    /**\n     * @namespace\n     * @memberof AttrRecognizer\n     */\n    defaults: {\n        /**\n         * @type {Number}\n         * @default 1\n         */\n        pointers: 1\n    },\n\n    /**\n     * Used to check if it the recognizer receives valid input, like input.distance > 10.\n     * @memberof AttrRecognizer\n     * @param {Object} input\n     * @returns {Boolean} recognized\n     */\n    attrTest: function(input) {\n        var optionPointers = this.options.pointers;\n        return optionPointers === 0 || input.pointers.length === optionPointers;\n    },\n\n    /**\n     * Process the input and return the state for the recognizer\n     * @memberof AttrRecognizer\n     * @param {Object} input\n     * @returns {*} State\n     */\n    process: function(input) {\n        var state = this.state;\n        var eventType = input.eventType;\n\n        var isRecognized = state & (STATE_BEGAN | STATE_CHANGED);\n        var isValid = this.attrTest(input);\n\n        // on cancel input and we've recognized before, return STATE_CANCELLED\n        if (isRecognized && (eventType & INPUT_CANCEL || !isValid)) {\n            return state | STATE_CANCELLED;\n        } else if (isRecognized || isValid) {\n            if (eventType & INPUT_END) {\n                return state | STATE_ENDED;\n            } else if (!(state & STATE_BEGAN)) {\n                return STATE_BEGAN;\n            }\n            return state | STATE_CHANGED;\n        }\n        return STATE_FAILED;\n    }\n});\n\n/**\n * Pan\n * Recognized when the pointer is down and moved in the allowed direction.\n * @constructor\n * @extends AttrRecognizer\n */\nfunction PanRecognizer() {\n    AttrRecognizer.apply(this, arguments);\n\n    this.pX = null;\n    this.pY = null;\n}\n\ninherit(PanRecognizer, AttrRecognizer, {\n    /**\n     * @namespace\n     * @memberof PanRecognizer\n     */\n    defaults: {\n        event: 'pan',\n        threshold: 10,\n        pointers: 1,\n        direction: DIRECTION_ALL\n    },\n\n    getTouchAction: function() {\n        var direction = this.options.direction;\n        var actions = [];\n        if (direction & DIRECTION_HORIZONTAL) {\n            actions.push(TOUCH_ACTION_PAN_Y);\n        }\n        if (direction & DIRECTION_VERTICAL) {\n            actions.push(TOUCH_ACTION_PAN_X);\n        }\n        return actions;\n    },\n\n    directionTest: function(input) {\n        var options = this.options;\n        var hasMoved = true;\n        var distance = input.distance;\n        var direction = input.direction;\n        var x = input.deltaX;\n        var y = input.deltaY;\n\n        // lock to axis?\n        if (!(direction & options.direction)) {\n            if (options.direction & DIRECTION_HORIZONTAL) {\n                direction = (x === 0) ? DIRECTION_NONE : (x < 0) ? DIRECTION_LEFT : DIRECTION_RIGHT;\n                hasMoved = x != this.pX;\n                distance = Math.abs(input.deltaX);\n            } else {\n                direction = (y === 0) ? DIRECTION_NONE : (y < 0) ? DIRECTION_UP : DIRECTION_DOWN;\n                hasMoved = y != this.pY;\n                distance = Math.abs(input.deltaY);\n            }\n        }\n        input.direction = direction;\n        return hasMoved && distance > options.threshold && direction & options.direction;\n    },\n\n    attrTest: function(input) {\n        return AttrRecognizer.prototype.attrTest.call(this, input) &&\n            (this.state & STATE_BEGAN || (!(this.state & STATE_BEGAN) && this.directionTest(input)));\n    },\n\n    emit: function(input) {\n\n        this.pX = input.deltaX;\n        this.pY = input.deltaY;\n\n        var direction = directionStr(input.direction);\n\n        if (direction) {\n            input.additionalEvent = this.options.event + direction;\n        }\n        this._super.emit.call(this, input);\n    }\n});\n\n/**\n * Pinch\n * Recognized when two or more pointers are moving toward (zoom-in) or away from each other (zoom-out).\n * @constructor\n * @extends AttrRecognizer\n */\nfunction PinchRecognizer() {\n    AttrRecognizer.apply(this, arguments);\n}\n\ninherit(PinchRecognizer, AttrRecognizer, {\n    /**\n     * @namespace\n     * @memberof PinchRecognizer\n     */\n    defaults: {\n        event: 'pinch',\n        threshold: 0,\n        pointers: 2\n    },\n\n    getTouchAction: function() {\n        return [TOUCH_ACTION_NONE];\n    },\n\n    attrTest: function(input) {\n        return this._super.attrTest.call(this, input) &&\n            (Math.abs(input.scale - 1) > this.options.threshold || this.state & STATE_BEGAN);\n    },\n\n    emit: function(input) {\n        if (input.scale !== 1) {\n            var inOut = input.scale < 1 ? 'in' : 'out';\n            input.additionalEvent = this.options.event + inOut;\n        }\n        this._super.emit.call(this, input);\n    }\n});\n\n/**\n * Press\n * Recognized when the pointer is down for x ms without any movement.\n * @constructor\n * @extends Recognizer\n */\nfunction PressRecognizer() {\n    Recognizer.apply(this, arguments);\n\n    this._timer = null;\n    this._input = null;\n}\n\ninherit(PressRecognizer, Recognizer, {\n    /**\n     * @namespace\n     * @memberof PressRecognizer\n     */\n    defaults: {\n        event: 'press',\n        pointers: 1,\n        time: 251, // minimal time of the pointer to be pressed\n        threshold: 9 // a minimal movement is ok, but keep it low\n    },\n\n    getTouchAction: function() {\n        return [TOUCH_ACTION_AUTO];\n    },\n\n    process: function(input) {\n        var options = this.options;\n        var validPointers = input.pointers.length === options.pointers;\n        var validMovement = input.distance < options.threshold;\n        var validTime = input.deltaTime > options.time;\n\n        this._input = input;\n\n        // we only allow little movement\n        // and we've reached an end event, so a tap is possible\n        if (!validMovement || !validPointers || (input.eventType & (INPUT_END | INPUT_CANCEL) && !validTime)) {\n            this.reset();\n        } else if (input.eventType & INPUT_START) {\n            this.reset();\n            this._timer = setTimeoutContext(function() {\n                this.state = STATE_RECOGNIZED;\n                this.tryEmit();\n            }, options.time, this);\n        } else if (input.eventType & INPUT_END) {\n            return STATE_RECOGNIZED;\n        }\n        return STATE_FAILED;\n    },\n\n    reset: function() {\n        clearTimeout(this._timer);\n    },\n\n    emit: function(input) {\n        if (this.state !== STATE_RECOGNIZED) {\n            return;\n        }\n\n        if (input && (input.eventType & INPUT_END)) {\n            this.manager.emit(this.options.event + 'up', input);\n        } else {\n            this._input.timeStamp = now();\n            this.manager.emit(this.options.event, this._input);\n        }\n    }\n});\n\n/**\n * Rotate\n * Recognized when two or more pointer are moving in a circular motion.\n * @constructor\n * @extends AttrRecognizer\n */\nfunction RotateRecognizer() {\n    AttrRecognizer.apply(this, arguments);\n}\n\ninherit(RotateRecognizer, AttrRecognizer, {\n    /**\n     * @namespace\n     * @memberof RotateRecognizer\n     */\n    defaults: {\n        event: 'rotate',\n        threshold: 0,\n        pointers: 2\n    },\n\n    getTouchAction: function() {\n        return [TOUCH_ACTION_NONE];\n    },\n\n    attrTest: function(input) {\n        return this._super.attrTest.call(this, input) &&\n            (Math.abs(input.rotation) > this.options.threshold || this.state & STATE_BEGAN);\n    }\n});\n\n/**\n * Swipe\n * Recognized when the pointer is moving fast (velocity), with enough distance in the allowed direction.\n * @constructor\n * @extends AttrRecognizer\n */\nfunction SwipeRecognizer() {\n    AttrRecognizer.apply(this, arguments);\n}\n\ninherit(SwipeRecognizer, AttrRecognizer, {\n    /**\n     * @namespace\n     * @memberof SwipeRecognizer\n     */\n    defaults: {\n        event: 'swipe',\n        threshold: 10,\n        velocity: 0.3,\n        direction: DIRECTION_HORIZONTAL | DIRECTION_VERTICAL,\n        pointers: 1\n    },\n\n    getTouchAction: function() {\n        return PanRecognizer.prototype.getTouchAction.call(this);\n    },\n\n    attrTest: function(input) {\n        var direction = this.options.direction;\n        var velocity;\n\n        if (direction & (DIRECTION_HORIZONTAL | DIRECTION_VERTICAL)) {\n            velocity = input.overallVelocity;\n        } else if (direction & DIRECTION_HORIZONTAL) {\n            velocity = input.overallVelocityX;\n        } else if (direction & DIRECTION_VERTICAL) {\n            velocity = input.overallVelocityY;\n        }\n\n        return this._super.attrTest.call(this, input) &&\n            direction & input.offsetDirection &&\n            input.distance > this.options.threshold &&\n            input.maxPointers == this.options.pointers &&\n            abs(velocity) > this.options.velocity && input.eventType & INPUT_END;\n    },\n\n    emit: function(input) {\n        var direction = directionStr(input.offsetDirection);\n        if (direction) {\n            this.manager.emit(this.options.event + direction, input);\n        }\n\n        this.manager.emit(this.options.event, input);\n    }\n});\n\n/**\n * A tap is ecognized when the pointer is doing a small tap/click. Multiple taps are recognized if they occur\n * between the given interval and position. The delay option can be used to recognize multi-taps without firing\n * a single tap.\n *\n * The eventData from the emitted event contains the property `tapCount`, which contains the amount of\n * multi-taps being recognized.\n * @constructor\n * @extends Recognizer\n */\nfunction TapRecognizer() {\n    Recognizer.apply(this, arguments);\n\n    // previous time and center,\n    // used for tap counting\n    this.pTime = false;\n    this.pCenter = false;\n\n    this._timer = null;\n    this._input = null;\n    this.count = 0;\n}\n\ninherit(TapRecognizer, Recognizer, {\n    /**\n     * @namespace\n     * @memberof PinchRecognizer\n     */\n    defaults: {\n        event: 'tap',\n        pointers: 1,\n        taps: 1,\n        interval: 300, // max time between the multi-tap taps\n        time: 250, // max time of the pointer to be down (like finger on the screen)\n        threshold: 9, // a minimal movement is ok, but keep it low\n        posThreshold: 10 // a multi-tap can be a bit off the initial position\n    },\n\n    getTouchAction: function() {\n        return [TOUCH_ACTION_MANIPULATION];\n    },\n\n    process: function(input) {\n        var options = this.options;\n\n        var validPointers = input.pointers.length === options.pointers;\n        var validMovement = input.distance < options.threshold;\n        var validTouchTime = input.deltaTime < options.time;\n\n        this.reset();\n\n        if ((input.eventType & INPUT_START) && (this.count === 0)) {\n            return this.failTimeout();\n        }\n\n        // we only allow little movement\n        // and we've reached an end event, so a tap is possible\n        if (validMovement && validTouchTime && validPointers) {\n            if (input.eventType != INPUT_END) {\n                return this.failTimeout();\n            }\n\n            var validInterval = this.pTime ? (input.timeStamp - this.pTime < options.interval) : true;\n            var validMultiTap = !this.pCenter || getDistance(this.pCenter, input.center) < options.posThreshold;\n\n            this.pTime = input.timeStamp;\n            this.pCenter = input.center;\n\n            if (!validMultiTap || !validInterval) {\n                this.count = 1;\n            } else {\n                this.count += 1;\n            }\n\n            this._input = input;\n\n            // if tap count matches we have recognized it,\n            // else it has began recognizing...\n            var tapCount = this.count % options.taps;\n            if (tapCount === 0) {\n                // no failing requirements, immediately trigger the tap event\n                // or wait as long as the multitap interval to trigger\n                if (!this.hasRequireFailures()) {\n                    return STATE_RECOGNIZED;\n                } else {\n                    this._timer = setTimeoutContext(function() {\n                        this.state = STATE_RECOGNIZED;\n                        this.tryEmit();\n                    }, options.interval, this);\n                    return STATE_BEGAN;\n                }\n            }\n        }\n        return STATE_FAILED;\n    },\n\n    failTimeout: function() {\n        this._timer = setTimeoutContext(function() {\n            this.state = STATE_FAILED;\n        }, this.options.interval, this);\n        return STATE_FAILED;\n    },\n\n    reset: function() {\n        clearTimeout(this._timer);\n    },\n\n    emit: function() {\n        if (this.state == STATE_RECOGNIZED) {\n            this._input.tapCount = this.count;\n            this.manager.emit(this.options.event, this._input);\n        }\n    }\n});\n\n/**\n * Simple way to create a manager with a default set of recognizers.\n * @param {HTMLElement} element\n * @param {Object} [options]\n * @constructor\n */\nfunction Hammer(element, options) {\n    options = options || {};\n    options.recognizers = ifUndefined(options.recognizers, Hammer.defaults.preset);\n    return new Manager(element, options);\n}\n\n/**\n * @const {string}\n */\nHammer.VERSION = '2.0.7';\n\n/**\n * default settings\n * @namespace\n */\nHammer.defaults = {\n    /**\n     * set if DOM events are being triggered.\n     * But this is slower and unused by simple implementations, so disabled by default.\n     * @type {Boolean}\n     * @default false\n     */\n    domEvents: true,\n\n    /**\n     * The value for the touchAction property/fallback.\n     * When set to `compute` it will magically set the correct value based on the added recognizers.\n     * @type {String}\n     * @default compute\n     */\n    touchAction: TOUCH_ACTION_COMPUTE,\n\n    /**\n     * @type {Boolean}\n     * @default true\n     */\n    enable: true,\n\n    /**\n     * EXPERIMENTAL FEATURE -- can be removed/changed\n     * Change the parent input target element.\n     * If Null, then it is being set the to main element.\n     * @type {Null|EventTarget}\n     * @default null\n     */\n    inputTarget: null,\n\n    /**\n     * force an input class\n     * @type {Null|Function}\n     * @default null\n     */\n    inputClass: null,\n\n    /**\n     * Default recognizer setup when calling `Hammer()`\n     * When creating a new Manager these will be skipped.\n     * @type {Array}\n     */\n    preset: [\n        // RecognizerClass, options, [recognizeWith, ...], [requireFailure, ...]\n        [RotateRecognizer, {enable: false}],\n        [PinchRecognizer, {enable: false}, ['rotate']],\n        [SwipeRecognizer, {direction: DIRECTION_HORIZONTAL}],\n        [PanRecognizer, {direction: DIRECTION_HORIZONTAL}, ['swipe']],\n        [TapRecognizer],\n        [TapRecognizer, {event: 'doubletap', taps: 2}, ['tap']],\n        [PressRecognizer]\n    ],\n\n    /**\n     * Some CSS properties can be used to improve the working of Hammer.\n     * Add them to this method and they will be set when creating a new Manager.\n     * @namespace\n     */\n    cssProps: {\n        /**\n         * Disables text selection to improve the dragging gesture. Mainly for desktop browsers.\n         * @type {String}\n         * @default 'none'\n         */\n        userSelect: 'none',\n\n        /**\n         * Disable the Windows Phone grippers when pressing an element.\n         * @type {String}\n         * @default 'none'\n         */\n        touchSelect: 'none',\n\n        /**\n         * Disables the default callout shown when you touch and hold a touch target.\n         * On iOS, when you touch and hold a touch target such as a link, Safari displays\n         * a callout containing information about the link. This property allows you to disable that callout.\n         * @type {String}\n         * @default 'none'\n         */\n        touchCallout: 'none',\n\n        /**\n         * Specifies whether zooming is enabled. Used by IE10>\n         * @type {String}\n         * @default 'none'\n         */\n        contentZooming: 'none',\n\n        /**\n         * Specifies that an entire element should be draggable instead of its contents. Mainly for desktop browsers.\n         * @type {String}\n         * @default 'none'\n         */\n        userDrag: 'none',\n\n        /**\n         * Overrides the highlight color shown when the user taps a link or a JavaScript\n         * clickable element in iOS. This property obeys the alpha value, if specified.\n         * @type {String}\n         * @default 'rgba(0,0,0,0)'\n         */\n        tapHighlightColor: 'rgba(0,0,0,0)'\n    }\n};\n\nvar STOP = 1;\nvar FORCED_STOP = 2;\n\n/**\n * Manager\n * @param {HTMLElement} element\n * @param {Object} [options]\n * @constructor\n */\nfunction Manager(element, options) {\n    this.options = assign({}, Hammer.defaults, options || {});\n\n    this.options.inputTarget = this.options.inputTarget || element;\n\n    this.handlers = {};\n    this.session = {};\n    this.recognizers = [];\n    this.oldCssProps = {};\n\n    this.element = element;\n    this.input = createInputInstance(this);\n    this.touchAction = new TouchAction(this, this.options.touchAction);\n\n    toggleCssProps(this, true);\n\n    each(this.options.recognizers, function(item) {\n        var recognizer = this.add(new (item[0])(item[1]));\n        item[2] && recognizer.recognizeWith(item[2]);\n        item[3] && recognizer.requireFailure(item[3]);\n    }, this);\n}\n\nManager.prototype = {\n    /**\n     * set options\n     * @param {Object} options\n     * @returns {Manager}\n     */\n    set: function(options) {\n        assign(this.options, options);\n\n        // Options that need a little more setup\n        if (options.touchAction) {\n            this.touchAction.update();\n        }\n        if (options.inputTarget) {\n            // Clean up existing event listeners and reinitialize\n            this.input.destroy();\n            this.input.target = options.inputTarget;\n            this.input.init();\n        }\n        return this;\n    },\n\n    /**\n     * stop recognizing for this session.\n     * This session will be discarded, when a new [input]start event is fired.\n     * When forced, the recognizer cycle is stopped immediately.\n     * @param {Boolean} [force]\n     */\n    stop: function(force) {\n        this.session.stopped = force ? FORCED_STOP : STOP;\n    },\n\n    /**\n     * run the recognizers!\n     * called by the inputHandler function on every movement of the pointers (touches)\n     * it walks through all the recognizers and tries to detect the gesture that is being made\n     * @param {Object} inputData\n     */\n    recognize: function(inputData) {\n        var session = this.session;\n        if (session.stopped) {\n            return;\n        }\n\n        // run the touch-action polyfill\n        this.touchAction.preventDefaults(inputData);\n\n        var recognizer;\n        var recognizers = this.recognizers;\n\n        // this holds the recognizer that is being recognized.\n        // so the recognizer's state needs to be BEGAN, CHANGED, ENDED or RECOGNIZED\n        // if no recognizer is detecting a thing, it is set to `null`\n        var curRecognizer = session.curRecognizer;\n\n        // reset when the last recognizer is recognized\n        // or when we're in a new session\n        if (!curRecognizer || (curRecognizer && curRecognizer.state & STATE_RECOGNIZED)) {\n            curRecognizer = session.curRecognizer = null;\n        }\n\n        var i = 0;\n        while (i < recognizers.length) {\n            recognizer = recognizers[i];\n\n            // find out if we are allowed try to recognize the input for this one.\n            // 1.   allow if the session is NOT forced stopped (see the .stop() method)\n            // 2.   allow if we still haven't recognized a gesture in this session, or the this recognizer is the one\n            //      that is being recognized.\n            // 3.   allow if the recognizer is allowed to run simultaneous with the current recognized recognizer.\n            //      this can be setup with the `recognizeWith()` method on the recognizer.\n            if (session.stopped !== FORCED_STOP && ( // 1\n                    !curRecognizer || recognizer == curRecognizer || // 2\n                    recognizer.canRecognizeWith(curRecognizer))) { // 3\n                recognizer.recognize(inputData);\n            } else {\n                recognizer.reset();\n            }\n\n            // if the recognizer has been recognizing the input as a valid gesture, we want to store this one as the\n            // current active recognizer. but only if we don't already have an active recognizer\n            if (!curRecognizer && recognizer.state & (STATE_BEGAN | STATE_CHANGED | STATE_ENDED)) {\n                curRecognizer = session.curRecognizer = recognizer;\n            }\n            i++;\n        }\n    },\n\n    /**\n     * get a recognizer by its event name.\n     * @param {Recognizer|String} recognizer\n     * @returns {Recognizer|Null}\n     */\n    get: function(recognizer) {\n        if (recognizer instanceof Recognizer) {\n            return recognizer;\n        }\n\n        var recognizers = this.recognizers;\n        for (var i = 0; i < recognizers.length; i++) {\n            if (recognizers[i].options.event == recognizer) {\n                return recognizers[i];\n            }\n        }\n        return null;\n    },\n\n    /**\n     * add a recognizer to the manager\n     * existing recognizers with the same event name will be removed\n     * @param {Recognizer} recognizer\n     * @returns {Recognizer|Manager}\n     */\n    add: function(recognizer) {\n        if (invokeArrayArg(recognizer, 'add', this)) {\n            return this;\n        }\n\n        // remove existing\n        var existing = this.get(recognizer.options.event);\n        if (existing) {\n            this.remove(existing);\n        }\n\n        this.recognizers.push(recognizer);\n        recognizer.manager = this;\n\n        this.touchAction.update();\n        return recognizer;\n    },\n\n    /**\n     * remove a recognizer by name or instance\n     * @param {Recognizer|String} recognizer\n     * @returns {Manager}\n     */\n    remove: function(recognizer) {\n        if (invokeArrayArg(recognizer, 'remove', this)) {\n            return this;\n        }\n\n        recognizer = this.get(recognizer);\n\n        // let's make sure this recognizer exists\n        if (recognizer) {\n            var recognizers = this.recognizers;\n            var index = inArray(recognizers, recognizer);\n\n            if (index !== -1) {\n                recognizers.splice(index, 1);\n                this.touchAction.update();\n            }\n        }\n\n        return this;\n    },\n\n    /**\n     * bind event\n     * @param {String} events\n     * @param {Function} handler\n     * @returns {EventEmitter} this\n     */\n    on: function(events, handler) {\n        if (events === undefined) {\n            return;\n        }\n        if (handler === undefined) {\n            return;\n        }\n\n        var handlers = this.handlers;\n        each(splitStr(events), function(event) {\n            handlers[event] = handlers[event] || [];\n            handlers[event].push(handler);\n        });\n        return this;\n    },\n\n    /**\n     * unbind event, leave emit blank to remove all handlers\n     * @param {String} events\n     * @param {Function} [handler]\n     * @returns {EventEmitter} this\n     */\n    off: function(events, handler) {\n        if (events === undefined) {\n            return;\n        }\n\n        var handlers = this.handlers;\n        each(splitStr(events), function(event) {\n            if (!handler) {\n                delete handlers[event];\n            } else {\n                handlers[event] && handlers[event].splice(inArray(handlers[event], handler), 1);\n            }\n        });\n        return this;\n    },\n\n    /**\n     * emit event to the listeners\n     * @param {String} event\n     * @param {Object} data\n     */\n    emit: function(event, data) {\n        // we also want to trigger dom events\n        if (this.options.domEvents) {\n            triggerDomEvent(event, data);\n        }\n\n        // no handlers, so skip it all\n        var handlers = this.handlers[event] && this.handlers[event].slice();\n        if (!handlers || !handlers.length) {\n            return;\n        }\n\n        data.type = event;\n        data.preventDefault = function() {\n            data.srcEvent.preventDefault();\n        };\n\n        var i = 0;\n        while (i < handlers.length) {\n            handlers[i](data);\n            i++;\n        }\n    },\n\n    /**\n     * destroy the manager and unbinds all events\n     * it doesn't unbind dom events, that is the user own responsibility\n     */\n    destroy: function() {\n        this.element && toggleCssProps(this, false);\n\n        this.handlers = {};\n        this.session = {};\n        this.input.destroy();\n        this.element = null;\n    }\n};\n\n/**\n * add/remove the css properties as defined in manager.options.cssProps\n * @param {Manager} manager\n * @param {Boolean} add\n */\nfunction toggleCssProps(manager, add) {\n    var element = manager.element;\n    if (!element.style) {\n        return;\n    }\n    var prop;\n    each(manager.options.cssProps, function(value, name) {\n        prop = prefixed(element.style, name);\n        if (add) {\n            manager.oldCssProps[prop] = element.style[prop];\n            element.style[prop] = value;\n        } else {\n            element.style[prop] = manager.oldCssProps[prop] || '';\n        }\n    });\n    if (!add) {\n        manager.oldCssProps = {};\n    }\n}\n\n/**\n * trigger dom event\n * @param {String} event\n * @param {Object} data\n */\nfunction triggerDomEvent(event, data) {\n    var gestureEvent = document.createEvent('Event');\n    gestureEvent.initEvent(event, true, true);\n    gestureEvent.gesture = data;\n    data.target.dispatchEvent(gestureEvent);\n}\n\nassign(Hammer, {\n    INPUT_START: INPUT_START,\n    INPUT_MOVE: INPUT_MOVE,\n    INPUT_END: INPUT_END,\n    INPUT_CANCEL: INPUT_CANCEL,\n\n    STATE_POSSIBLE: STATE_POSSIBLE,\n    STATE_BEGAN: 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            "title": "$:/plugins/BTC/tiddly-touch/lib/hammer.js",
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            "title": "$:/plugins/BTC/tiddly-touch/lib/web-animations.js",
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        "$:/plugins/BTC/tiddly-touch/license": {
            "text": "MIT License\n\nCopyright (c) 2018 Huber Simon\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.",
            "title": "$:/plugins/BTC/tiddly-touch/license",
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        "$:/plugins/BTC/tiddly-touch/lists/numbers": {
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            "created": "20180109081722674"
        },
        "$:/plugins/BTC/tiddly-touch/readme": {
            "text": "",
            "title": "$:/plugins/BTC/tiddly-touch/readme",
            "tags": "",
            "modified": "20180119084217667",
            "created": "20180119083856838",
            "caption": "readme"
        },
        "$:/plugins/BTC/tiddly-touch/storyviews/muuri.js": {
            "text": "/*\\\ntitle: $:/plugins/BTC/tiddly-touch/storyviews/muuri.js\ntype: application/javascript\nmodule-type: storyview\n\nStory view that cooperates with the Muuri grid layout engine\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar MuuriStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nMuuriStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Scroll the node into view\n\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\n};\n\nMuuriStoryView.prototype.insert = function(widget) {\n\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration();\n\n  var targetElementIndex = this.listWidget.findListItem(0,widget.parseTreeNode.itemTitle);\n\n  /*\n\t// Get the current height of the tiddler\n\tvar computedStyle = window.getComputedStyle(targetElement),\n\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t// Reset the margin once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"}\n\t\t]);\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t// Transition to the final position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n  */\n\n  this.addGridItem(targetElement, { instant: true, index: targetElementIndex });\n};\n\nMuuriStoryView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\twidget.removeChildDomNodes();\n\t\t};\n\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\n  this.removeGridItem(targetElement, { instant: false, removeElements: true });\n\n  /*\n\t$tw.utils.forceLayout(targetElement);\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t{transform: \"translateX(-\" + currWidth + \"px)\"},\n\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n  */\n};\n\nMuuriStoryView.prototype.grid = function(targetElement) {\n  var grid = targetElement.parentNode;\n\n  if (!(grid instanceof Element)) {\n    $tw.utils.error(\"MuuriStoryView couldn't find grid for \" + targetElement.getAttribute('class'));\n  }\n\n  return grid;\n};\n\nMuuriStoryView.prototype.addGridItem = function(targetElement, options) {\n  var grid = this.grid(targetElement);\n\n  grid.add(targetElement, options);\n};\n\nMuuriStoryView.prototype.removeGridItem = function(targetElement, options) {\n  var grid = this.grid(targetElement);\n\n  grid.remove(targetElement, options);\n};\n\nexports.muuri = MuuriStoryView;\n\n})();\n",
            "type": "application/javascript",
            "title": "$:/plugins/BTC/tiddly-touch/storyviews/muuri.js",
            "revision": "0",
            "module-type": "storyview",
            "modified": "20180119161045861",
            "created": "20171221070643923",
            "bag": "default"
        },
        "$:/plugins/BTC/tiddly-touch/utils/resize-listener.js": {
            "text": "/*\\\ntitle: $:/plugins/ustuehler/muuri/utils/resize-listener.js\ntype: application/javascript\nmodule-type: utils\n\nStory view that cooperates with the Muuri grid layout engine\n\n\\*/\n(function(){ if (typeof window !== 'undefined') {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar attachEvent = document.attachEvent;\nvar isIE = navigator.userAgent.match(/Trident/);\n\nvar requestFrame = (function(){\n\tvar raf = window.requestAnimationFrame || window.mozRequestAnimationFrame || window.webkitRequestAnimationFrame ||\n\t\t\tfunction(fn){ return window.setTimeout(fn, 20); };\n\treturn function(fn){ return raf(fn); };\n})();\n\nvar cancelFrame = (function(){\n\tvar cancel = window.cancelAnimationFrame || window.mozCancelAnimationFrame || window.webkitCancelAnimationFrame ||\n\t\t\t\t window.clearTimeout;\n\treturn function(id){ return cancel(id); };\n})();\n\nfunction resizeListener(e){\n\tvar win = e.target || e.srcElement;\n\tif (win.__resizeRAF__) cancelFrame(win.__resizeRAF__);\n\twin.__resizeRAF__ = requestFrame(function(){\n\t\tvar trigger = win.__resizeTrigger__;\n                if (trigger !== undefined && trigger.__resizeListeners__ !== undefined) {\n\t\ttrigger.__resizeListeners__.forEach(function(fn){\n\t\t\tfn.call(trigger, e);\n\t\t});\n                }\n\t});\n}\n\nfunction objectLoad(e){\n\tthis.contentDocument.defaultView.__resizeTrigger__ = this.__resizeElement__;\n\tthis.contentDocument.defaultView.addEventListener('resize', resizeListener);\n}\n\nexports.addResizeListener = function(element, fn){\n\tif (!element.__resizeListeners__) {\n\t\telement.__resizeListeners__ = [];\n\t\tif (attachEvent) {\n\t\t\telement.__resizeTrigger__ = element;\n\t\t\telement.attachEvent('onresize', resizeListener);\n\t\t}\n\t\telse {\n\t\t\tif (getComputedStyle(element).position == 'static') element.style.position = 'relative';\n\t\t\tvar obj = element.__resizeTrigger__ = document.createElement('object'); \n\t\t\tobj.setAttribute('style', 'display: block; position: absolute; top: 0; left: 0; height: 100%; width: 100%; overflow: hidden; pointer-events: none; z-index: -1;');\n\t\t\tobj.__resizeElement__ = element;\n\t\t\tobj.onload = objectLoad;\n\t\t\tobj.type = 'text/html';\n\t\t\tif (isIE) element.appendChild(obj);\n\t\t\tobj.data = 'about:blank';\n\t\t\tif (!isIE) element.appendChild(obj);\n\t\t}\n\t}\n\telement.__resizeListeners__.push(fn);\n};\n\nexports.removeResizeListener = function(element, fn){\n\telement.__resizeListeners__.splice(element.__resizeListeners__.indexOf(fn), 1);\n\tif (!element.__resizeListeners__.length) {\n\t\tif (attachEvent) element.detachEvent('onresize', resizeListener);\n\t\telse {\n\t\t\telement.__resizeTrigger__.contentDocument.defaultView.removeEventListener('resize', resizeListener);\n\t\t\telement.__resizeTrigger__ = !element.removeChild(element.__resizeTrigger__);\n\t\t}\n\t}\n};\n\n}})();\n",
            "type": "application/javascript",
            "title": "$:/plugins/BTC/tiddly-touch/utils/resize-listener.js",
            "revision": "0",
            "module-type": "utils",
            "modified": "20180119132731111",
            "created": "20171221070721367",
            "bag": "default"
        },
        "$:/plugins/BTC/tiddly-touch/widgets/muuri.js": {
            "text": "/*\\\ntitle: $:/plugins/BTC/tiddly-touch/widgets/muuri.js\ntype: application/javascript\nmodule-type: widget\n\nPackery cascading grid layout widget\n\n\\*/\n(function (global) {\n\n\"use strict\";\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nif (typeof window !== 'undefined') {\n  var Muuri = require(\"$:/plugins/BTC/tiddly-touch/lib/muuri.js\");\n}\n\nvar MuuriWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nMuuriWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nMuuriWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\n  // Insert DOM node\n    var domNode = this.document.createElement(\"section\");\n  \tdomNode.setAttribute(\"class\",\"tc-muuri-grid\");\n\t  parent.insertBefore(domNode,nextSibling);\n  \tthis.domNodes.push(domNode);\n\nthis.renderChildren(domNode,null);\n\n    var targetElements = this.getAttribute(\"target\");\n    var muuriListTiddler = this.getAttribute(\"list\");\n    var targetIsTiddler = this.getAttribute(\"target-is-tiddler\") === \"yes\" ;\n    var muuriFillGaps = this.getAttribute(\"fill-gaps\") === \"yes\" ;\n    var muuriHorizontal = this.getAttribute(\"horizontal\") === \"yes\" ;\n    var muuriAlignRight = this.getAttribute(\"align-right\") === \"yes\" ;\n    var muuriAlignBottom = this.getAttribute(\"align-bottom\") === \"yes\" ;\n    var muuriEnableDrag = this.getAttribute(\"dragging\") === \"yes\" ;\nvar muuriAnimationDuration = parseInt($tw.wiki.getTiddler(\"$:/plugins/BTC/tiddly-touch/config\").getFieldString(\"animation-duration\"));\n    var muuriShowDuration = parseInt($tw.wiki.getTiddler(\"$:/plugins/BTC/tiddly-touch/config\").getFieldString(\"show-duration\"));\n    var muuriHideDuration = parseInt($tw.wiki.getTiddler(\"$:/plugins/BTC/tiddly-touch/config\").getFieldString(\"hide-duration\"));\n    var muuriDragSortAction = $tw.wiki.getTiddler(\"$:/plugins/BTC/tiddly-touch/config\").getFieldString(\"drag-sort-action\");\n    var muuriDragSortThreshold = $tw.wiki.getTiddler(\"$:/plugins/BTC/tiddly-touch/config\").getFieldString(\"drag-sort-threshold\");\n    var muuriDragSort = $tw.wiki.getTiddler(\"$:/plugins/BTC/tiddly-touch/config\").getFieldString(\"drag-sort\") === \"yes\";\n    var muuriParentWidget = this.children;\n\n    var animationDuration = $tw.utils.getAnimationDuration();\n\n    var muuri = new Muuri(domNode, {\n    items: '.' + targetElements,\n    muuriListTiddler: muuriListTiddler,\n    muuriParentWidget: muuriParentWidget,\n    targetsAreTiddlers: targetIsTiddler,\n    showDuration: muuriShowDuration,\n    hideDuration: muuriHideDuration,\n    layoutDuration: muuriAnimationDuration,\n    layoutEasing: 'cubic-bezier(0.215, 0.61, 0.355, 1)',\n    showEasing: 'cubic-bezier(0.215, 0.61, 0.355, 1)',\n    hideEasing: 'cubic-bezier(0.215, 0.61, 0.355, 1)',\n    layoutOnResize: animationDuration,\n    rounding: false,\n\t\tlayout: {\n\t\t\tfillGaps: muuriFillGaps,\n\t\t\thorizontal: muuriHorizontal,\n\t\t\talignRight: muuriAlignRight,\n\t\t\talignBottom: muuriAlignBottom,\n\t\t\trounding: false\n\t\t},\n    dragEnabled: muuriEnableDrag,\n    dragSortPredicate: {\n        threshold: muuriDragSortThreshold,\n        action: muuriDragSortAction\n  },\n    containerClass: 'tc-muuri-grid',\n    itemClass: targetElements,\n    gridMigratingClass: 'tc-grid-migrate-1',\n\t\titemVisibleClass: 'muuri-shown',\n\t\titemHiddenClass: 'muuri-hidden',\n\t\titemPositioningClass: 'muuri-positioning',\n\t\titemDraggingClass: 'tc-dragging',\n\t\titemReleasingClass: 'tc-dragover'\n  });\n\n  // add() and remove() should be invoked on the grid container by the\n  // storyview when tiddlers get inserted or removed\n  domNode.add = function(elements, options) {\n    muuri.add(elements, options);\n    muuri.hide(elements, {onFinish: function () {\n    muuri.refreshItems();\n    muuri._refreshDimensions();\n    muuri.layout();\n    muuri.show(elements);\n    muuri._settings.muuriParentWidget = self.children;\n}});\n  };\n\n  domNode.remove = function(elements, options) {\n    muuri.remove(elements, options);\n    muuri._settings.muuriParentWidget = self.children;\n  };\n\n  // Register resize event handlers for all children\n  self.registerMissingResizeListeners(domNode, muuri);\n  muuri._settings.muuriParentWidget = self.children;\n\n  // Register a handler to fire when child DOM elements are added or removed.\n  var observer = new MutationObserver(function(mutations) {\n\n    mutations.forEach(function(mutation) {\n  if (!mutation.addedNodes) return;\n\n      if (mutation.type == 'childList') {\n        //console.debug(\"MuuriWidget observed a change in childList\");\n        // Register resize event handlers for new children\n        self.registerMissingResizeListeners(domNode, muuri);\n        muuri._settings.muuriParentWidget = self.children;\n      }\n    });\n\n  });\n    \n  observer.observe(domNode, { childList: true, subtree: true, attributes: true, characterData: false});\n\n};\n\n/*\nEnsure that resize listeners are registered for all child widgets\n*/\nMuuriWidget.prototype.registerMissingResizeListeners = function(domNode, grid) {\n  var items = grid.getItems();\n  var domNodeChildren = domNode.children;\n  //grid.synchronize();\n  for (var i = 0; i < domNode.children.length; i++) {\n    var item = domNode.children[i];   \n   //console.debug(item);\n\n    if (typeof item.resizeHandler === 'undefined') {\n      item.resizeHandler = (function(item) {\n        return function() {\n          //console.debug(\"MuuriWidget got a resize event from \" + item.getAttribute('class'));\n          grid.hide(item, {\n            instant: true,\n            onFinish: function() {\n              grid.show(item, {instant: true});\n            }\n          });\n        };\n      })(item);\n\n      //console.debug(\"MuuriWidget registering for resize events from \" + item.getAttribute('class'));\n      $tw.utils.addResizeListener(item, item.resizeHandler);\n      \n      grid.add(item, { instant: true, index: i });\n          grid.hide(item, {\n            instant: true,\n            onFinish: function() {\n              grid.show(item, {instant: true, index: i });\n              items = grid.getItems();\n              if (domNodeChildren.length < items.length) {\n                grid.remove(items[i+1], { instant: true, removeElements: false });\n              grid.refreshItems();\n              grid._refreshDimensions();\n              grid.refreshSortData();\n              grid.layout(true);\n              }\n            }\n          });\n    }\n  }\n};\n\n/*\nCompute the internal state of the widget\n*/\nMuuriWidget.prototype.execute = function() {\n  this.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nMuuriWidget.prototype.refresh = function(changedTiddlers) {\n  return this.refreshChildren(changedTiddlers);\n};\n\nexports.muuri = MuuriWidget;\n\n})(this);",
            "type": "application/javascript",
            "title": "$:/plugins/BTC/tiddly-touch/widgets/muuri.js",
            "tags": "",
            "module-type": "widget",
            "modified": "20180120102026655",
            "created": "20180118194154339"
        },
        "$:/plugins/BTC/tiddly-touch/usage": {
            "created": "20180120120601278",
            "text": "",
            "title": "$:/plugins/BTC/tiddly-touch/usage",
            "tags": "",
            "modified": "20180120120620985",
            "caption": "usage"
        }
    }
}

<$reveal state="$:/plugins/BTC/tiddly-touch/config!!fill-gaps" type="nomatch" text="yes">
<$button class="tc-btn-invisible" tooltip="fill gaps on">
<$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri">
<$action-sendmessage $message="tm-remove-tag" $param="$:/tags/PageTemplate"/></$fieldmangler><$action-setfield $tiddler="$:/view" $value=""/><$action-setfield $tiddler="$:/plugins/BTC/tiddly-touch/config" $field="fill-gaps" $value="yes"/><$action-setfield $tiddler="$:/view" $value="muuri"/><$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri"><$action-sendmessage $message="tm-add-tag" $param="$:/tags/PageTemplate"/></$fieldmangler>{{$:/plugins/BTC/tiddly-touch/icons!!view-quilt}}
</$button>
</$reveal>
<$reveal state="$:/plugins/BTC/tiddly-touch/config!!fill-gaps" type="match" text="yes">
<$button class="tc-btn-invisible tc-toolbar-icon tc-selected" tooltip="fill gaps off">
<$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri">
<$action-sendmessage $message="tm-remove-tag" $param="$:/tags/PageTemplate"/></$fieldmangler><$action-setfield $tiddler="$:/view" $value=""/><$action-setfield $tiddler="$:/plugins/BTC/tiddly-touch/config" $field="fill-gaps" $value="no"/><$action-setfield $tiddler="$:/view" $value="muuri"/><$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri"><$action-sendmessage $message="tm-add-tag" $param="$:/tags/PageTemplate"/></$fieldmangler>{{$:/plugins/BTC/tiddly-touch/icons!!view-quilt}}
</$button>
</$reveal>

\whitespace trim
\define config-title()
$:/config/ViewToolbarButtons/Visibility/$(listItem)$
\end
<$button popup=<<morePopupState>> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass="tc-selected">
<$list filter="[<tv-config-toolbar-icons>prefix[yes]]">
{{$:/core/images/down-arrow}}
</$list>
<$list filter="[<tv-config-toolbar-text>prefix[yes]]">
<span class="tc-btn-text">
<$text text=" "/>
<$text text={{$:/language/Buttons/More/Caption}}/>
</span>
</$list>
</$button>
<$reveal state=<<morePopupState>> type="popup" position="below" animate="yes">

<div class="tc-drop-down">

<$set name="tv-config-toolbar-icons" value="yes">

<$set name="tv-config-toolbar-text" value="yes">

<$set name="tv-config-toolbar-class" value="tc-btn-invisible">

<$list filter="[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]] -[[$:/core/ui/Buttons/more-tiddler-actions]]" variable="listItem">

<$reveal type="match" state=<<config-title>> text="hide">

<$set name="tv-config-toolbar-class" filter="[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]">

<$transclude tiddler=<<listItem>> mode="inline"/>

</$set>

</$reveal>

</$list>

</$set>

</$set>

</$set>

</div>

</$reveal>

<$reveal state="$:/plugins/BTC/tiddly-touch/config!!align-horizontal" type="nomatch" text="yes">
<$button class="tc-btn-invisible" tooltip="align tiddlers horizontally">
<$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri">
<$action-sendmessage $message="tm-remove-tag" $param="$:/tags/PageTemplate"/></$fieldmangler><$action-setfield $tiddler="$:/view" $value=""/><$action-setfield $tiddler="$:/plugins/BTC/tiddly-touch/config" $field="align-horizontal" $value="yes"/><$action-setfield $tiddler="$:/view" $value="muuri"/><$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri"><$action-sendmessage $message="tm-add-tag" $param="$:/tags/PageTemplate"/></$fieldmangler>{{$:/plugins/BTC/tiddly-touch/icons!!view-vertical}}
</$button>
</$reveal>
<$reveal state="$:/plugins/BTC/tiddly-touch/config!!align-horizontal" type="match" text="yes">
<$button class="tc-btn-invisible" tooltip="align tiddlers vertically">
<$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri">
<$action-sendmessage $message="tm-remove-tag" $param="$:/tags/PageTemplate"/></$fieldmangler><$action-setfield $tiddler="$:/view" $value=""/><$action-setfield $tiddler="$:/plugins/BTC/tiddly-touch/config" $field="align-horizontal" $value="no"/><$action-setfield $tiddler="$:/view" $value="muuri"/><$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri"><$action-sendmessage $message="tm-add-tag" $param="$:/tags/PageTemplate"/></$fieldmangler>{{$:/plugins/BTC/tiddly-touch/icons!!view-horizontal}}
</$button>
</$reveal>

<$reveal state="$:/plugins/BTC/tiddly-touch/config!!align-right" type="nomatch" text="yes">
<$button class="tc-btn-invisible" tooltip="tiddlers aligned left">
<$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri">
<$action-sendmessage $message="tm-remove-tag" $param="$:/tags/PageTemplate"/></$fieldmangler><$action-setfield $tiddler="$:/view" $value=""/><$action-setfield $tiddler="$:/plugins/BTC/tiddly-touch/config" $field="align-right" $value="yes"/><$action-setfield $tiddler="$:/view" $value="muuri"/><$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri"><$action-sendmessage $message="tm-add-tag" $param="$:/tags/PageTemplate"/></$fieldmangler>{{$:/plugins/BTC/tiddly-touch/icons!!format-align-left}}
</$button>
</$reveal>
<$reveal state="$:/plugins/BTC/tiddly-touch/config!!align-right" type="match" text="yes">
<$button class="tc-btn-invisible" tooltip="tiddlers aligned right">
<$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/configPageTemplate/muuri">
<$action-sendmessage $message="tm-remove-tag" $param="$:/tags/PageTemplate"/></$fieldmangler><$action-setfield $tiddler="$:/view" $value=""/><$action-setfield $tiddler="$:/plugins/BTC/tiddly-touch/config" $field="align-right" $value="no"/><$action-setfield $tiddler="$:/view" $value="muuri"/><$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri"><$action-sendmessage $message="tm-add-tag" $param="$:/tags/PageTemplate"/></$fieldmangler>{{$:/plugins/BTC/tiddly-touch/icons!!format-align-right}}
</$button>
</$reveal>

<$reveal state="$:/plugins/BTC/tiddly-touch/config!!align-bottom" type="nomatch" text="yes">
<$button class="tc-btn-invisible" tooltip="tiddlers aligned to the top">
<$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri">
<$action-sendmessage $message="tm-remove-tag" $param="$:/tags/PageTemplate"/></$fieldmangler><$action-setfield $tiddler="$:/view" $value=""/><$action-setfield $tiddler="$:/plugins/BTC/tiddly-touch/config" $field="align-bottom" $value="yes"/><$action-setfield $tiddler="$:/view" $value="muuri"/><$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri"><$action-sendmessage $message="tm-add-tag" $param="$:/tags/PageTemplate"/></$fieldmangler>{{$:/plugins/BTC/tiddly-touch/icons!!vertical-align-top}}
</$button>
</$reveal>
<$reveal state="$:/plugins/BTC/tiddly-touch/config!!align-bottom" type="match" text="yes">
<$button class="tc-btn-invisible" tooltip="tiddlers aligned to the bottom">
<$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri">
<$action-sendmessage $message="tm-remove-tag" $param="$:/tags/PageTemplate"/></$fieldmangler><$action-setfield $tiddler="$:/view" $value=""/><$action-setfield $tiddler="$:/plugins/BTC/tiddly-touch/config" $field="align-bottom" $value="no"/><$action-setfield $tiddler="$:/view" $value="muuri"/><$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri"><$action-sendmessage $message="tm-add-tag" $param="$:/tags/PageTemplate"/></$fieldmangler>{{$:/plugins/BTC/tiddly-touch/icons!!vertical-align-bottom}}
</$button>
</$reveal>

\define before-actions()
<$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri">
<$action-sendmessage $message="tm-remove-tag" $param="$:/tags/PageTemplate"/></$fieldmangler><$action-setfield $tiddler="$:/view" $value=""/>
\end
\define after-actions()
<$action-setfield $tiddler="$:/view" $value="muuri"/><$fieldmangler tiddler="$:/plugins/BTC/tiddly-touch/PageTemplate/muuri"><$action-sendmessage $message="tm-add-tag" $param="$:/tags/PageTemplate"/></$fieldmangler>
\end
\define set-dragging-yes-no(yesno)
<<before-actions>><$action-setfield $tiddler="$:/plugins/BTC/tiddly-touch/config" $field="drag-enabled" $value="$yesno$"/><<after-actions>>
\end
\define getStoryListIndex(yesno)
<$set name="storyCount" filter="[list[$:/StoryList]count[]]">
<$list filter="[list[$:/plugins/BTC/tiddly-touch/lists/numbers]limit<storyCount>]">
<$list filter="[list[$:/StoryList]nth<currentTiddler>title[$(scrollTiddler)$]]" variable="scrollTiddlerIndex">
<<set-dragging-yes-no $yesno$>>
</$list>
</$list>
</$set>
\end
<$reveal state="$:/plugins/BTC/tiddly-touch/config!!drag-enabled" type="nomatch" text="yes">
<$button class="tc-btn-invisible tc-dragging-button" tooltip="enable dragging">
<$set name="scrollTiddler" value=<<storyTiddler>>>
<$set name="storyList" filter="[list[$:/StoryList]]">
<<set-dragging-yes-no yes>>
</$set>
</$set>
{{$:/plugins/BTC/tiddly-touch/icons!!drag-button}}
</$button>
</$reveal>
<$reveal state="$:/plugins/BTC/tiddly-touch/config!!drag-enabled" type="match" text="yes">
<$button class="tc-btn-invisible tc-selected tc-dragging-button" tooltip="disable dragging">
<$set name="scrollTiddler" value=<<storyTiddler>>>
<$set name="storyList" filter="[list[$:/StoryList]]">
<<set-dragging-yes-no no>>
</$set>
</$set>
{{$:/plugins/BTC/tiddly-touch/icons!!drag-button}}
</$button>
</$reveal>

\define columnicons()
{{$:/plugins/BTC/tiddly-touch/icons!!columns-$(tiddlerWidth)$}}
\end
\define next-tiddler-action()
<$list filter="[[$(nextValue)$]regexp[^(1|2|3|4|5|6|7|8|9|10|11|12)$]]">
<$action-setfield $tiddler="""$(nextStoryTiddler)$""" $field="muuri-tiddler-width" $value="$(nextNextValue)$" $timestamp="no"/>
</$list>
<$list filter="[[$(nextValue)$]regexp[^0$]]">
<$set name="columnCount" value={{$:/plugins/BTC/tiddly-touch/config!!column-count}}>
<$set name="remainingSpace" filter="1 3 2 8 9 7 5 6 4 10 +[nth<columnCount>]">
<$action-setfield $tiddler="""$(nextStoryTiddler)$""" $field="muuri-tiddler-width" $value=<<remainingSpace>> $timestamp="no"/>
</$set>
</$set>
</$list>
<$list filter="[[$(nextValue)$]!regexp[^(0|1|2|3|4|5|6|7|8|9|10|11|12)$]]">
<$action-setfield $tiddler="""$(nextStoryTiddler)$""" $field="muuri-tiddler-width" $value="7" $timestamp="no"/>
</$list>
\end
\define enslave-next-tiddler-button()
<$reveal state="$:/plugins/BTC/tiddly-touch/config!!adjacent-tiddler-width" type="nomatch" text="yes">
<$button class="tc-btn-invisible tc-toolbar-icon tc-toolbar-icon-topleft-2" tooltip="enslave $(nextStoryTiddler)$">
<$action-setfield $tiddler="$:/plugins/BTC/tiddly-touch/config" $field="adjacent-tiddler-width" $value="yes"/>
{{$:/plugins/BTC/tiddly-touch/icons!!dot}}
</$button>
</$reveal>
<$reveal state="$:/plugins/BTC/tiddly-touch/config!!adjacent-tiddler-width" type="match" text="yes">
<$button class="tc-btn-invisible tc-toolbar-icon tc-toolbar-icon-topleft-2 tc-selected blue-icon" tooltip="free $(nextStoryTiddler)$">
<$action-setfield $tiddler="$:/plugins/BTC/tiddly-touch/config" $field="adjacent-tiddler-width" $value="no"/>
{{$:/plugins/BTC/tiddly-touch/icons!!dot}}
</$button>
</$reveal>
\end
\define toggle-tiddler-width()
<span class="tc-topleft-span">
<$list filter="[[$(storyTiddler)$]next[$:/StoryList]]" variable="nextStoryTiddler">
<$set name="tiddlerWidth" filter="[[$(storyTiddler)$]has[muuri-tiddler-width]get[muuri-tiddler-width]regexp[^(0|1|2|3|4|5|6)$]] [[$(storyTiddler)$]has[muuri-tiddler-width]get[muuri-tiddler-width]!regexp[^(0|1|2|3|4|5|6)$]addprefix[0]] [[$(storyTiddler)$]!has[muuri-tiddler-width]addprefix[0]removesuffix[$(storyTiddler)$]]">
<$set name="nextValue" filter="[<tiddlerWidth>next[$:/plugins/BTC/tiddly-touch/Buttons/toggle-tiddler-width]]">
<$set name="nextNextValue" filter="0 4 3 2 8 6 +[nth<nextValue>]">
<$button class="tc-btn-invisible tc-toolbar-icon tc-toolbar-icon-topleft" tooltip="toggle tiddler width">
<$list filter="[<tiddlerWidth>!regexp[^0$]]">
<$action-setfield $tiddler="""$(storyTiddler)$""" $field="muuri-tiddler-width" $value=<<nextValue>> $timestamp="no"/>
<$list filter="[[$:/plugins/BTC/tiddly-touch/config]get[adjacent-tiddler-width]regexp[^yes$]]">
<$list filter="[<nextStoryTiddler>!regexp[^$]]">
<<next-tiddler-action>>
</$list>
</$list>
</$list>
<$list filter="[<tiddlerWidth>regexp[^0$]]">
<$action-setfield $tiddler="""$(storyTiddler)$""" $field="muuri-tiddler-width" $value="6" $timestamp="no"/>
<$list filter="[[$:/plugins/BTC/tiddly-touch/config]get[adjacent-tiddler-width]regexp[^yes$]]">
<$list filter="[<nextStoryTiddler>!regexp[^$]]">
<<next-tiddler-action>>
</$list>
</$list>
</$list>
<<columnicons>>
</$button>
</$set></$set></$set>
<<enslave-next-tiddler-button>>
</$list>
<$set name="storyListCount" filter="[list[$:/StoryList]count[]]">
<$list filter="[list[$:/StoryList]nth<storyListCount>regexp[$(storyTiddler)$]]">
<$set name="tiddlerWidth" filter="[[$(storyTiddler)$]has[muuri-tiddler-width]get[muuri-tiddler-width]regexp[^(0|1|2|3|4|5|6)$]] [[$(storyTiddler)$]has[muuri-tiddler-width]get[muuri-tiddler-width]!regexp[^(0|1|2|3|4|5|6)$]addprefix[0]] [[$(storyTiddler)$]!has[muuri-tiddler-width]addprefix[0]removesuffix[$(storyTiddler)$]]">
<$set name="nextValue" filter="[<tiddlerWidth>next[$:/plugins/BTC/tiddly-touch/Buttons/toggle-tiddler-width]]">
<$button class="tc-btn-invisible tc-toolbar-icon tc-toolbar-icon-topleft" tooltip="toggle tiddler width">
<$list filter="[<tiddlerWidth>!regexp[^0$]]">
<$action-setfield $tiddler="""$(storyTiddler)$""" $field="muuri-tiddler-width" $value=<<nextValue>> $timestamp="no"/>
</$list>
<$list filter="[<tiddlerWidth>regexp[^0$]]">
<$action-setfield $tiddler="""$(storyTiddler)$""" $field="muuri-tiddler-width" $value="6" $timestamp="no"/>
</$list>
<<columnicons>>
</$button>
</$set></$set>
</$list>
</$set>
</span>
\end
<$reveal state="$:/plugins/BTC/tiddly-touch/config!!topleft-width-button" type="nomatch" text="no">
<<toggle-tiddler-width>>
</$reveal>

.grid, .tc-muuri-grid { position: relative; } .tc-tiddler-frame { display: block; position: absolute; width: 100%; margin: 8px;}  .tc-tiddler-frame.tc-dragover { z-index: 2; } .tc-tiddler-frame.muuri-hidden { z-index: 0; display: none; } .tc-tiddler-frame:hover, .tc-tiddler-frame:focus { z-index: 3; }  .tc-tiddler-frame-content { position: relative; width: 100%; height: 100%; }
.tc-tiddler-frame.tc-dragging { z-index: 999; } .tc-alert, .tc-alerts { z-index: 999999 !important; }

/* ** Tiddler view styles */


.tc-btn-invisible.tc-toolbar-icon {
        color: <<colour muted-foreground>>;
        vertical-align: sub;
}

.tc-btn-invisible.tc-toolbar-icon:hover {
        color: <<colour foreground>>;
}

.tc-tagged-defined-width {
    width: calc(100vw / 3.5) !important;
}

.tc-tagged-defined-width-2 {
    width: calc(100vw / 2) !important;
}

.tc-tiddler-frame.tc-tagged-6 { width: calc(100% * 6 / 12 - 16px); min-width: calc(72px * 6); }

 }

.tc-tiddler-frame {
	background-color: <<colour tiddler-background>>{{$:/config/muritest!!tiddler-opacity}} !important;
}

<<if-no-sidebar "

.tc-sidebar-scrollable {
	display: none;
}

.tc-topbar-right {
        right: 10px !important;
}

">>

.tc-story-river {
	padding-top: 0px !important;
}

.tc-muuri-empty-story {
    height: 60vh;
    display: flex;
    justify-content: center;
    flex-direction: column;
    text-align: center;
}


.tc-tagged-Journal {
    background-color: #feff9c !important;
    border-color: #fff740 !important;
}

.tc-tiddler-frame.span-4 iframe {
    min-height: calc(100vh / 4);
}

.tc-tiddler-frame.span-6 iframe {
    min-height: calc(100vh / 3);
}

.tc-tiddler-frame.span-9 iframe, .tc-tiddler-frame.span-12 iframe {
    min-height: calc(100vh / 2);
}

/*.tc-tiddler-frame img, .tc-tiddler-frame image { position: relative; display: block;  height: auto; } */

@media (max-height: 500px) {

.tc-image-full-screen-button {
    fill: <<colour primary>> !important;
}

.tc-story-river {
    padding: 0px 0px 0px 25px;
}


}


@media (max-width: 500px) {

.tc-tiddler-frame {
    padding: 14px 28px 14px 14px;
}

.tc-topbar-right {
    display: none !important;
}

.tc-story-river {
    padding: 0px 0px 0px 25px !important;
}

<$reveal state="$:/plugins/BTC/tiddly-touch/config!!vertical-toolbar" type="nomatch" text="no">

.tc-tiddler-frame {
    min-height: 130px;
}

</$reveal>

.tc-image-full-screen-button {
    fill: <<colour primary>> !important;
}
}

<<if-horizontal-grid """



.grid, .tc-muuri-grid {
    height: calc(100vh - 15px);
    max-height: calc(100vh - 15px);
    min-width: 100%;
}

.tc-story-river {
    height: calc(100vh - 15px);
    max-height: calc(100vh - 15px);
    min-width: calc(100vw - 84px);
}

.tc-sidebar-scrollable {

}

""">>

.tc-muuri-grid .tc-drop-down {
    min-width: 220px;
}

.tc-tiddler-frame.tc-tagged-sampletag {
max-height: 10vh !important;
max-width: 10vh !important;
min-height: 10vh !important;
min-width: 10vh !important;
padding: 5px 5px 5px 5px;
text-align: center !important;
vertical-align: center;
}

.tc-tiddler-frame.tc-tagged-sampletag .tc-titlebar h2 {
   display: none;
}
.tc-tiddler-frame.tc-tagged-sampletag .tc-titlebar {
    display: none !important;
}

.tc-tiddler-frame.tc-tagged-sampletag .tc-subtitle, .tc-tiddler-frame.tc-tagged-sampletag .tc-tags-wrapper, .tc-tiddler-frame.tc-tagged-sampletag .tc-tiddler-controls {
    display: none !important;
}

<<if-dragging-enabled """

.tc-dragging-button {
    color: <$macrocall $name="colour" name="very-muted-foreground"/> !important;
}

""">>

@media (min-width: 900px) {
    .tc-sidebar-scrollable {
    background-color: <<colour background>>{{$:/config/muritest!!tiddler-opacity}} !important;
    background: <<colour background>>{{$:/config/muritest!!tiddler-opacity}} ;
    z-index: 9999;
    box-shadow: -1px 0px 1px 1px <<colour muted-foreground>>;
}
}

<<if-sidebar """

.tc-topbar-right {
    z-index: 10000 !important;
}

.tc-story-river {
    padding-right: 42px !important;
    margin-right: 0px !important;
}

""">>

.tc-tiddler-frame.span-4 , .tc-tiddler-frame.span-5, .tc-tiddler-frame.span-6, .tc-tiddler-frame.span-7, .tc-tiddler-frame.span-8, .tc-tiddler-frame.span-9, .tc-tiddler-frame.span-10, .tc-tiddler-frame.span-11, .tc-tiddler-frame.span-12, .tc-tiddler-frame.span-13  {
    padding-left: 42px;
    padding-right: 42px;
}

<<vertical-toolbar-yes-no>>

<<vertical-toolbar-macro>>

<<toggle-muuri-columns>>

.span-4 .tc-tiddler-controls, .span-5 .tc-tiddler-controls, .span-6 .tc-tiddler-controls, .span-7 .tc-tiddler-controls, .span-8 .tc-tiddler-controls, .span-9 .tc-tiddler-controls, .span-10 .tc-tiddler-controls, .span-11 .tc-tiddler-controls, .span-12 .tc-tiddler-controls, .span-13 .tc-tiddler-controls {
    right: -60px !important;
}

.span-4 .tc-tiddler-info, .span-5 .tc-tiddler-info, .span-13 .tc-tiddler-info, .span-6 .tc-tiddler-info, .span-7 .tc-tiddler-info, .span-8 .tc-tiddler-info, .span-9 .tc-tiddler-info, .span-10 .tc-tiddler-info, .span-11 .tc-tiddler-info, .span-12 .tc-tiddler-info {
    margin-left: -20px;
    margin-right: -20px;
    padding-left: 10px;
    padding-right: 10px;
}

.span-4 .tc-unfold-banner, .span-5 .tc-unfold-banner, .span-6 .tc-unfold-banner, .span-7 .tc-unfold-banner, .span-8 .tc-unfold-banner, .span-9 .tc-unfold-banner, .span-10 .tc-unfold-banner, .span-11 .tc-unfold-banner, .span-12 .tc-unfold-banner, .span-13 .tc-unfold-banner {
   margin-left: -43px;
   width: 100%;
}

.span-4 .tc-fold-banner, .span-5 .tc-fold-banner, .span-6 .tc-fold-banner, .span-7 .tc-fold-banner, .span-8 .tc-fold-banner, .span-9 .tc-fold-banner, .span-10 .tc-fold-banner, .span-11 .tc-fold-banner, .span-12 .tc-fold-banner, .span-13 .tc-fold-banner {
    margin-left: -35px;
    width: 23px;
}

.tc-leftbar , div.tc-leftbar-open {
	position: fixed;
	z-index: 1200;
}

.tc-leftbar button {
	padding: 8px;
}

.tc-leftbar svg {
	fill: <<colour muted-foreground>>;
}

.tc-leftbar button:hover svg {
	fill: <<colour foreground>>;
}

.tc-leftbar {
    position: fixed;
    top: 5vh;
    left: 0px;
    width: 32px;
    font-size: 1.6em !important;
    padding-left:6px;
}

div.tc-leftbar-open {
    position: fixed;
    bottom: 10vh;
    right:0px;
    width: 42px;
    font-size: 1.6rem;
}

span.tc-leftbar-open a {
	display: none;
}

.tc-leftbar-open span:hover > .tc-leftbar-open span > a { 
	display: inline-block !important;
}

@media (max-height: 500px) {
.tc-leftbar {
   position: fixed;
    top: -1vh;
    left: 0px;
    width: 25px;
    font-size: 1.2rem !important;
    padding-left:2px;
}
.tc-tiddler-view-frame:not(.tc-tiddler-folded) .tc-tiddler-controls {
    width: 0.8em;
    right: -27px;
    position: fixed;
    top: -20px;
}
.tc-leftbar .tc-btn-invisible {
    padding: 1px 4px 1px 4px;
}
.tc-leftbar .material-icons {
    font-size: 1.2rem !important;
}
.tc-topbar-right {
    display: none !important;
}
.tc-tiddler-frame {
    padding: 14px 28px 14px 14px;
}
}


@media (max-width: 500px) {
.tc-leftbar {
    position: fixed;
    top: 0vh;
    left: 0px;
    width: 20px;
    font-size: 1.2em !important;
    padding-left:0px;
}

.tc-leftbar .material-icons {
    font-size: 1.2em !important;
}
}

<<tiddly-touch-toolbar-left-right>>

/*@media (max-width: 500px) {
    .tc-sidebar-scrollable {
         max-height: 45vh !important;
         padding-left: 20px !important;
}
}*/

.tc-btn-invisible.tc-toolbar-icon {
        color: <<colour muted-foreground>>;
        vertical-align: sub;
}

.tc-btn-invisible.tc-toolbar-icon:hover {
        color: <<colour foreground>>;
}

.tc-sidebar-lists .tc-tiddler-edit-frame {
    width: calc(100% - 42px) !important;
}

@media (max-width: 500px) {
    .tc-story-river .tc-tiddler-edit-frame {

}
    .tc-leftbar {
        display: none;
}
    .tc-story-river {
        padding: 1% 1% 0% 1% !important;
        width: 100%;
}

<<mobile-portrait-tiles>>

}

.tc-single-tiddler-window .tc-sidebar-window {
    position: absolute;
    width: 100%;
    height: 100%;
    padding: 3% 3% 0% 3%;
}

.tc-single-tiddler-window {
    background-color: <<colour page-background>> !important;
}

/*@media (max-device-width: 500px) {
    .tc-single-tiddler-window .tc-sidebar-window {
    padding: 2% 2% 0% 2%;
    font-size: 2rem !important;
    line-height: 2em !important;
}
}*/

.tc-single-tiddler-window .tc-sidebar-window:not(.tc-sidebar-lists) .tc-tiddler-edit-frame {
    border: 0px solid <<colour page-background>> !important;
    padding: 2% 2% 2% 2% !important;
    box-shadow: none !important;
    width: 90% !important;
}

<<sidebar-new-window-tiddler-edit-frame-hide>>

.tc-leftbar button.tc-selected {
    -webkit-filter: drop-shadow(0px -1px 2px rgba(0,0,0,0.25));
    -moz-filter: drop-shadow(0px -1px 2px rgba(0,0,0,0.25));
    filter: drop-shadow(0px -1px 2px rgba(0,0,0,0.25));
}

.tc-leftbar button.tc-selected svg {
	fill: <<colour tiddler-controls-foreground-selected>>;
}

.tc-leftbar .tc-btn-invisible.tc-toolbar-icon.tc-selected.tc-dragging-button {
        color: <<colour tiddler-controls-foreground-selected>> !important;
}

svg.blue-icon, svg.blue-icon:hover, .tc-tiddler-controls button svg.blue-icon {
    fill: <<colour primary>>;
}

svg.green-icon, svg.green-icon:hover {
	fill: <<colour download-background>>;
}

svg.red-icon, svg.red-icon:hover {
    fill: <<colour code-foreground>>;
}

<<show-hide-tiddler-title-tags>>

<<hide-controls-from-user>>

.tc-tiddler-body.tc-muuri-spreadsheet  {
    min-height: 0px !important;
    font-size: 8px !important;
    line-height: 12px !important;
}

.tc-tiddler-frame.tc-muuri-spreadsheet {
    width: calc((100% / 20) - 1px) !important;
    min-width: calc((100% / 30) - 1px) !important;
    min-height: calc((95vh / 20) - 1px) !important;
    height: calc((95vh / 10) - 1px) !important;
    max-width: calc((100% / 20) - 1px) !important;
    max-height: calc((95vh / 10) - 1px) !important;
    box-shadow: none !important;
    padding: 0px 0px 0px 0px !important;
    margin: 0 1px 1px 0 !important;
    border-radius: 0px !important;
    border: 1px solid rgba( 0, 0, 0, 0.1) !important;
}

<<if-spreadsheet-view """

.tc-story-river {
    padding-bottom: 0px;
}

.tc-muuri-grid {
    margin-left: 8px;
}

""">>

.tc-dynaview-zoom-factor-1, .tc-dynaview-zoom-factor-2, .tc-dynaview-zoom-factor-3, .tc-dynaview-zoom-factor-4 {
    display: none;
}

.tc-dynaview-zoom-factor-1 .tc-dynaview-zoom-factor-1, .tc-dynaview-zoom-factor-2 .tc-dynaview-zoom-factor-2, .tc-dynaview-zoom-factor-3 .tc-dynaview-zoom-factor-3,
 .tc-dynaview-zoom-factor-4 .tc-dynaview-zoom-factor-4 {
    display: block !important;
}

.tc-dynaview-zoom-factor-1 .tc-dynaview-zoom-factor-2, .tc-dynaview-zoom-factor-1 .tc-dynaview-zoom-factor-3, .tc-dynaview-zoom-factor-1 .tc-dynaview-zoom-factor-4, .tc-dynaview-zoom-factor-2 .tc-dynaview-zoom-factor-1, .tc-dynaview-zoom-factor-2 .tc-dynaview-zoom-factor-3, .tc-dynaview-zoom-factor-2 .tc-dynaview-zoom-factor-4, .tc-dynaview-zoom-factor-3 .tc-dynaview-zoom-factor-1, .tc-dynaview-zoom-factor-3 .tc-dynaview-zoom-factor-2, .tc-dynaview-zoom-factor-3 .tc-dynaview-zoom-factor-4, .tc-dynaview-zoom-factor-4 .tc-dynaview-zoom-factor-1, .tc-dynaview-zoom-factor-4 .tc-dynaview-zoom-factor-2, .tc-dynaview-zoom-factor-4 .tc-dynaview-zoom-factor-3 {
    display: none;
}

.tc-below-spreadsheet-view {
    position: fixed !important;
    bottom: 0px;
    background-color: <<colour page-background>>;
    z-index: 99999;
}

button.tc-btn-invisible.tc-spreadsheet-cell {
    display: inline-block;
    outline: none;
    width: calc(100% - 0px);
    height: calc(100% - 0px);
}

.tc-story-river.tc-spreadsheet-view .tc-muuri-grid {
    max-height: 45vh !important;
}

.tc-grid-1 {
    position: relative;
}

.tc-grid-2 {
    position: fixed;
    width: 13%;
    background-color: transparent;
    left: 42px;
    top: 0px;
    height: 100vh;
    border: none;
    overflow-y: scroll;
    overflow-x: hidden;
}

.tc-grid-3 {
    position: fixed;
    background-color: transparent;
    width: 13%;
    right: 46px;
    top: 0px;
    height: 100vh;
    border: none;
    border-right: 0px solid #ffffff;
    overflow-y: scroll;
    overflow-x: hidden;
}

.tc-grid-3::-webkit-scrollbar, .tc-grid-2::-webkit-scrollbar {
    display: none;
}

.tc-grid-2 .tc-tiddler-frame, .tc-grid-3 .tc-tiddler-frame {
    width: 100%;
}

.tc-grid-2 .tc-tiddler-body, .tc-grid-3 .tc-tiddler-body, .tc-grid-2 .tc-tags-wrapper, .tc-grid-3 .tc-tags-wrapper, .tc-grid-2 .tc-tiddler-controls, .tc-grid-3 .tc-tiddler-controls {
    display: none;
}

.tc-grid-2 .tc-title, .tc-grid-2 .tc-title h2, .tc-grid-3 .tc-title, .tc-grid-3 .tc-title h2, .tc-grid-2 .tc-titlebar, .tc-grid-3 .tc-titlebar {
    font-size: 15px;
    line-height: 16px;
    display: inline-block;
}

.tc-grid-2 .tc-tiddler-frame, .tc-grid-3 .tc-tiddler-frame {
   padding: 0px 10px 10px 10px;
   max-height: calc(100vh / 6);
   min-height: calc(100vh / 10);
   width: 100%;
}

.grid-container-1 {
    position: relative;
    z-index: 1;
    min-height: 800px !important;
}

.grid-container-2 {
    position: relative;
    z-index: 1;
    min-height: 800px !important;
}

.grid-container-3 {
    position: relative;
    z-index: 1;
    min-height: 800px !important;
}

.grid-container-3 .tc-tiddler-frame {
    margin-top: 2px;
    margin-bottom: 2px;
    margin-left: 4px;
    margin-right: 4px;
}

.grid-container-2 .tc-tiddler-frame, .tc-grid-2 .tc-tiddler-frame {
    min-width: 0px !important;
    margin-top: 2px;
    margin-bottom: 2px;
    margin-left: 4px;
    margin-right: 4px;
}

.tc-muuri-header {
    height: 100px;
    width: 100%;
    background-color: <<colour primary>>;
}

button.no-outline {
    outline: none !important;
}

<<hide-tiddler-borders-and-gaps>>


.tc-dragging img, .tc-dragging image, .muuri-item-dragging img, .muuri-item-dragging image, .tc-dragging svg, .tc-dragging iframe {
    opacity: 0.3 !important;
}

.tc-btn-invisible {
    outline: none !important;
}

.fade-in {

    -webkit-animation: fadein 0.4s; /* Safari, Chrome and Opera > 12.1 */
       -moz-animation: fadein 0.4s; /* Firefox < 16 */
        -ms-animation: fadein 0.4s; /* Internet Explorer */
         -o-animation: fadein 0.4s; /* Opera < 12.1 */
            animation: fadein 0.4s;
}

@keyframes fadein {
    from { opacity: 0; }
    to   { opacity: 1; }
}

/* Firefox < 16 */
@-moz-keyframes fadein {
    from { opacity: 0; }
    to   { opacity: 1; }
}

/* Safari, Chrome and Opera > 12.1 */
@-webkit-keyframes fadein {
    from { opacity: 0; }
    to   { opacity: 1; }
}

/* Internet Explorer */
@-ms-keyframes fadein {
    from { opacity: 0; }
    to   { opacity: 1; }
}

/* Opera < 12.1 */
@-o-keyframes fadein {
    from { opacity: 0; }
    to   { opacity: 1; }
}

.limit-image img, .limit-image image, .limit-image svg {
    max-width: 100%;
    position: relative;
}

<<show-hide-right-grid>>

<<show-hide-left-grid>>

<<rightgrid-width-macro>>

.tc-btn-invisible.tc-text-button {
    color: <<colour muted-foreground>>;
}

.tc-btn-invisible.tc-text-button.tc-selected {
    color: <<colour foreground>>;
    font-weight: 500;
}

.tc-btn-invisible.tc-text-button:hover {
    color: <<colour foreground>>;
}

.tc-grid-1 .tc-dragging .tc-tiddler-body {
        mix-blend-mode: multiply;
}

.tc-grid-migrate-2 .tc-tiddler-frame {
    border: 10px solid #ff0000;
}

.tc-tiddler-frame.tc-tiddler-more-popup {
  z-index: 5;
}

.tc-toolbar-icon-topleft {
    position: fixed;
    top: 5px;
    font-size: 1.3em;
    left: 30px;
}

.tc-toolbar-icon-topleft-2 {
    position: fixed;
    top: 5px;
    font-size: 0.6em;
    left: 60px;
}

.tc-toolbar-icon-topleft-2 svg {
    fill: <<colour muted-foreground>>;
    vertical-align: bottom;
}
.tc-toolbar-icon-topleft svg {
    fill: <<colour muted-foreground>>;
    }
    .tc-topleft-span:hover .tc-toolbar-icon-topleft-2 svg {
    fill: <<colour muted-foreground>>;
    }
.tc-topleft-span:hover .tc-toolbar-icon-topleft svg, .tc-topleft-span:hover .tc-toolbar-icon-topleft-2.tc-selected svg {
    fill: <<colour primary>>;
    }

\define config-title()
$:/config/PageControlButtons/Visibility/$(listItem)$
\end
\define leftbar-config-title()
$:/config/LeftBarButtons/Visibility/$(listItem)$
\end

<div class="tc-leftbar">

<$list filter="[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]!title[$:/core/ui/Buttons/save-wiki]]" variable="listItem">
<$reveal type="nomatch" state=<<config-title>> text="hide">
<$set name="tv-config-toolbar-class" filter="[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]">
<$transclude tiddler=<<listItem>> mode="inline"/>
</$set>
</$reveal>
</$list>
<$list filter="[all[shadows+tiddlers]tag[$:/tags/LeftBar]!has[draft.of]]" variable="listItem">
<$reveal type="nomatch" state=<<leftbar-config-title>> text="hide">
<$set name="tv-config-toolbar-class" filter="[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]">
<$transclude tiddler=<<listItem>> mode="inline"/>
</$set>
</$reveal>
</$list>
{{$:/plugins/BTC/tiddly-touch/Buttons/sidebar}}

</div>

<section class="tc-story-river">

<$muuri target={{$:/plugins/BTC/tiddly-touch/config!!child-class}} target-is-tiddler="yes" fill-gaps={{$:/plugins/BTC/tiddly-touch/config!!fill-gaps}} horizontal={{$:/plugins/BTC/tiddly-touch/config!!align-horizontal}} align-right={{$:/plugins/BTC/tiddly-touch/config!!align-right}} align-bottom={{$:/plugins/BTC/tiddly-touch/config!!align-bottom}} dragging={{$:/plugins/BTC/tiddly-touch/config!!drag-enabled}}>

<$list filter="[list[$:/StoryList]]" history="$:/HistoryList" template="$:/plugins/BTC/tiddly-touch/ui/ViewTemplate" editTemplate="$:/plugins/BTC/tiddly-touch/ui/EditTemplate" storyview={{$:/view}} emptyMessage={{$:/config/EmptyStoryMessage}}/>

</$muuri>

<section class="story-frontdrop">

<$list filter="[all[shadows+tiddlers]tag[$:/tags/BelowStory]!has[draft.of]]">

<$transclude/>

</$list>

</section>

</section>

{
    "tiddlers": {
        "$:/plugins/chanilino/viz/vizWidget.js": {
            "created": "20180705094957971",
            "creator": "chan",
            "text": "(function(){\n\n    var Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n    var Viz = require(\"$:/plugins/chanilino/viz/viz.js\");\n    var {Module, render } = require(\"$:/plugins/chanilino/viz/lite.render.js\");\n    var viz = new Viz({ Module, render });\n    \n\n    var VizWidget = function(parseTreeNode,options) {\n        this.initialise(parseTreeNode,options);\n    };\n\n    VizWidget.prototype = new Widget();\n\n    VizWidget.prototype.render = function(parent,nextSibling) {\n        this.parentDomNode = parent;\n        this.computeAttributes();\n        this.execute();\n        var domNode = this.create(parent, nextSibling);\n        this.domNodes.push(domNode);\n        parent.insertBefore(domNode,nextSibling);\n        this.renderChildren(domNode,null);\n    };\n\n    VizWidget.prototype.execute = function() {\n        // get attributes\n        this.my_text = this.getAttribute(\"text\");\n        this.selectClass = this.getAttribute(\"class\");\n        this.tiddler = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n        this.setName = this.getAttribute(\"name\",\"currentTiddler\");\n        // make child widgets \n        //this.makeChildWidgets();\n    };\n\n    //refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n    VizWidget.prototype.refresh = function(changedTiddlers) {\n        var changedAttributes = this.computeAttributes();\n        if(changedAttributes.my_text || changedAttributes.tiddler) {\n            this.refreshSelf();\n            return true;\n        } else {\n            return this.refreshChildren(changedTiddlers);\t\t\n        }\n    };\n\n    VizWidget.prototype.removeChildDomNodes = function() {\n        $tw.utils.each(this.domNodes,function(domNode) {\n            domNode.parentNode.removeChild(domNode);\n        });\n        this.domNodes = [];\n    };\n\n    VizWidget.prototype.create = function() {\n        // create a <div> container for the image\n        var domNode = $tw.utils.domMaker(\"div\",{class:this.selectClass});\n\n        viz.renderSVGElement(this.my_text).then(\n           element => { \n              domNode.appendChild(element);\n           }).catch(\n             error => {\n               viz = new Viz({ Module, render });\n         });\n        return domNode;\n    };\n\n\n    VizWidget.prototype.handleChangeEvent = function(event) {\n        // set the widget variable to inform the children\n        this.setVariable(this.setName,event.target.value,this.parseTreeNode.params);\n        // refresh this widget, and thereby the child widgets AND the enclosed content of this widget \n        this.refreshSelf();\n        return true;\n    };\n\n    exports.viz = VizWidget;\n\n})();\n",
            "type": "application/javascript",
            "title": "$:/plugins/chanilino/viz/vizWidget.js",
            "tags": "",
            "module-type": "widget",
            "modifier": "chan",
            "modified": "20180705134841442"
        },
        "$:/plugins/chanilino/viz/Usage": {
            "created": "20180705094932491",
            "creator": "chan",
            "text": "```\n<$viz text='  digraph G {\n      Consola->nginx [label=\"Pide encriptar url para cliente\", color=green]\n      nginx [shape=box];\n      nginx->Consola [color=red]\n      client-> HAPROXY  [color=red]\n      STUPID [shape=box];\n      HAPROXY -> STUPID  [color=red]\n      STUPID -> Prelanderred\n      STUPID -> STUPID [color=green, label=\"Pasa del nginx al hhvm desdencriptado\"]\n      vsh [shape=box];\n      STUPID->vsh  [color=red]\n     }' class=\"myexample\"/>\n```\n\n<$viz text='  digraph G {\n      Consola->nginx [label=\"Pide encriptar url para cliente\", color=green]\n      nginx [shape=box];\n      nginx->Consola [color=red]\n      client-> HAPROXY  [color=red]\n      STUPID [shape=box];\n      HAPROXY -> STUPID  [color=red]\n      STUPID -> Prelanderred\n      STUPID -> STUPID [color=green, label=\"Pasa del nginx al hhvm desdencriptado\"]\n      vsh [shape=box];\n      STUPID->vsh  [color=red]\n     }' class=\"myexample\"/>",
            "title": "$:/plugins/chanilino/viz/Usage",
            "tags": "",
            "modifier": "chan",
            "modified": "20180705132719608"
        },
        "$:/plugins/chanilino/viz/Readme": {
            "created": "20180705094912917",
            "creator": "chan",
            "text": "Plugin based on grapviz library:\n\nhttps://github.com/mdaines/viz.js/\n\nFor syntax of graphviz:\n\n* https://graphs.grevian.org/example\n* https://graphviz.gitlab.io/documentation/\n* https://www.graphviz.org/ \n",
            "title": "$:/plugins/chanilino/viz/Readme",
            "tags": "",
            "modifier": "chan",
            "modified": "20180705133230316"
        },
        "$:/plugins/chanilino/viz/viz.js": {
            "text": "/*\nViz.js 2.0.0 (Graphviz 2.40.1, Expat 2.2.5, Emscripten 1.37.36)\nCopyright (c) 2014-2018 Michael Daines\nLicensed under MIT license\n\nThis distribution contains other software in object code form:\n\nGraphviz\nLicensed under Eclipse Public License - v 1.0\nhttp://www.graphviz.org\n\nExpat\nCopyright (c) 1998, 1999, 2000 Thai Open Source Software Center Ltd and Clark Cooper\nCopyright (c) 2001, 2002, 2003, 2004, 2005, 2006 Expat maintainers.\nLicensed under MIT license\nhttp://www.libexpat.org\n\nzlib\nCopyright (C) 1995-2013 Jean-loup Gailly and Mark Adler\nhttp://www.zlib.net/zlib_license.html\n*/\n(function (global, factory) {\n  typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() :\n  typeof define === 'function' && define.amd ? define(factory) :\n  (global.Viz = factory());\n}(this, (function () { 'use strict';\n\n  var _typeof = typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\" ? function (obj) {\n    return typeof obj;\n  } : function (obj) {\n    return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n  };\n\n  var classCallCheck = function (instance, Constructor) {\n    if (!(instance instanceof Constructor)) {\n      throw new TypeError(\"Cannot call a class as a function\");\n    }\n  };\n\n  var createClass = function () {\n    function defineProperties(target, props) {\n      for (var i = 0; i < props.length; i++) {\n        var descriptor = props[i];\n        descriptor.enumerable = descriptor.enumerable || false;\n        descriptor.configurable = true;\n        if (\"value\" in descriptor) descriptor.writable = true;\n        Object.defineProperty(target, descriptor.key, descriptor);\n      }\n    }\n\n    return function (Constructor, protoProps, staticProps) {\n      if (protoProps) defineProperties(Constructor.prototype, protoProps);\n      if (staticProps) defineProperties(Constructor, staticProps);\n      return Constructor;\n    };\n  }();\n\n  var _extends = Object.assign || function (target) {\n    for (var i = 1; i < arguments.length; i++) {\n      var source = arguments[i];\n\n      for (var key in source) {\n        if (Object.prototype.hasOwnProperty.call(source, key)) {\n          target[key] = source[key];\n        }\n      }\n    }\n\n    return target;\n  };\n\n  var WorkerWrapper = function () {\n    function WorkerWrapper(worker) {\n      var _this = this;\n\n      classCallCheck(this, WorkerWrapper);\n\n      this.worker = worker;\n      this.listeners = [];\n      this.nextId = 0;\n\n      this.worker.addEventListener('message', function (event) {\n        var id = event.data.id;\n        var error = event.data.error;\n        var result = event.data.result;\n\n        _this.listeners[id](error, result);\n        delete _this.listeners[id];\n      });\n    }\n\n    createClass(WorkerWrapper, [{\n      key: 'render',\n      value: function render(src, options) {\n        var _this2 = this;\n\n        return new Promise(function (resolve, reject) {\n          var id = _this2.nextId++;\n\n          _this2.listeners[id] = function (error, result) {\n            if (error) {\n              reject(new Error(error.message, error.fileName, error.lineNumber));\n              return;\n            }\n            resolve(result);\n          };\n\n          _this2.worker.postMessage({ id: id, src: src, options: options });\n        });\n      }\n    }]);\n    return WorkerWrapper;\n  }();\n\n  var ModuleWrapper = function ModuleWrapper(module, render) {\n    classCallCheck(this, ModuleWrapper);\n\n    var instance = module();\n    this.render = function (src, options) {\n      return new Promise(function (resolve, reject) {\n        try {\n          resolve(render(instance, src, options));\n        } catch (error) {\n          reject(error);\n        }\n      });\n    };\n  };\n\n  // https://developer.mozilla.org/en-US/docs/Web/API/WindowBase64/Base64_encoding_and_decoding\n\n\n  function b64EncodeUnicode(str) {\n    return btoa(encodeURIComponent(str).replace(/%([0-9A-F]{2})/g, function (match, p1) {\n      return String.fromCharCode('0x' + p1);\n    }));\n  }\n\n  function defaultScale() {\n    if ('devicePixelRatio' in window && window.devicePixelRatio > 1) {\n      return window.devicePixelRatio;\n    } else {\n      return 1;\n    }\n  }\n\n  function svgXmlToImageElement(svgXml) {\n    var _ref = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {},\n        _ref$scale = _ref.scale,\n        scale = _ref$scale === undefined ? defaultScale() : _ref$scale,\n        _ref$mimeType = _ref.mimeType,\n        mimeType = _ref$mimeType === undefined ? \"image/png\" : _ref$mimeType,\n        _ref$quality = _ref.quality,\n        quality = _ref$quality === undefined ? 1 : _ref$quality;\n\n    return new Promise(function (resolve, reject) {\n      var svgImage = new Image();\n\n      svgImage.onload = function () {\n        var canvas = document.createElement('canvas');\n        canvas.width = svgImage.width * scale;\n        canvas.height = svgImage.height * scale;\n\n        var context = canvas.getContext(\"2d\");\n        context.drawImage(svgImage, 0, 0, canvas.width, canvas.height);\n\n        canvas.toBlob(function (blob) {\n          var image = new Image();\n          image.src = URL.createObjectURL(blob);\n          image.width = svgImage.width;\n          image.height = svgImage.height;\n\n          resolve(image);\n        }, mimeType, quality);\n      };\n\n      svgImage.onerror = function (e) {\n        var error;\n\n        if ('error' in e) {\n          error = e.error;\n        } else {\n          error = new Error('Error loading SVG');\n        }\n\n        reject(error);\n      };\n\n      svgImage.src = 'data:image/svg+xml;base64,' + b64EncodeUnicode(svgXml);\n    });\n  }\n\n  function svgXmlToImageElementFabric(svgXml) {\n    var _ref2 = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {},\n        _ref2$scale = _ref2.scale,\n        scale = _ref2$scale === undefined ? defaultScale() : _ref2$scale,\n        _ref2$mimeType = _ref2.mimeType,\n        mimeType = _ref2$mimeType === undefined ? 'image/png' : _ref2$mimeType,\n        _ref2$quality = _ref2.quality,\n        quality = _ref2$quality === undefined ? 1 : _ref2$quality;\n\n    var multiplier = scale;\n\n    var format = void 0;\n    if (mimeType == 'image/jpeg') {\n      format = 'jpeg';\n    } else if (mimeType == 'image/png') {\n      format = 'png';\n    }\n\n    return new Promise(function (resolve, reject) {\n      fabric.loadSVGFromString(svgXml, function (objects, options) {\n        // If there's something wrong with the SVG, Fabric may return an empty array of objects. Graphviz appears to give us at least one <g> element back even given an empty graph, so we will assume an error in this case.\n        if (objects.length == 0) {\n          reject(new Error('Error loading SVG with Fabric'));\n        }\n\n        var element = document.createElement(\"canvas\");\n        element.width = options.width;\n        element.height = options.height;\n\n        var canvas = new fabric.Canvas(element, { enableRetinaScaling: false });\n        var obj = fabric.util.groupSVGElements(objects, options);\n        canvas.add(obj).renderAll();\n\n        var image = new Image();\n        image.src = canvas.toDataURL({ format: format, multiplier: multiplier, quality: quality });\n        image.width = options.width;\n        image.height = options.height;\n\n        resolve(image);\n      });\n    });\n  }\n\n  var Viz = function () {\n    function Viz() {\n      var _ref3 = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {},\n          workerURL = _ref3.workerURL,\n          worker = _ref3.worker,\n          Module = _ref3.Module,\n          render = _ref3.render;\n\n      classCallCheck(this, Viz);\n\n      if (typeof workerURL !== 'undefined') {\n        this.wrapper = new WorkerWrapper(new Worker(workerURL));\n      } else if (typeof worker !== 'undefined') {\n        this.wrapper = new WorkerWrapper(worker);\n      } else if (typeof Module !== 'undefined' && typeof render !== 'undefined') {\n        this.wrapper = new ModuleWrapper(Module, render);\n      } else if (typeof Viz.Module !== 'undefined' && typeof Viz.render !== 'undefined') {\n        this.wrapper = new ModuleWrapper(Viz.Module, Viz.render);\n      } else {\n        throw new Error('Must specify workerURL or worker option, Module and render options, or include one of full.render.js or lite.render.js after viz.js.');\n      }\n    }\n\n    createClass(Viz, [{\n      key: 'renderString',\n      value: function renderString(src) {\n        var _ref4 = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {},\n            _ref4$format = _ref4.format,\n            format = _ref4$format === undefined ? 'svg' : _ref4$format,\n            _ref4$engine = _ref4.engine,\n            engine = _ref4$engine === undefined ? 'dot' : _ref4$engine,\n            _ref4$files = _ref4.files,\n            files = _ref4$files === undefined ? [] : _ref4$files,\n            _ref4$images = _ref4.images,\n            images = _ref4$images === undefined ? [] : _ref4$images,\n            _ref4$yInvert = _ref4.yInvert,\n            yInvert = _ref4$yInvert === undefined ? false : _ref4$yInvert;\n\n        for (var i = 0; i < images.length; i++) {\n          files.push({\n            path: images[i].path,\n            data: '<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\\n<svg width=\"' + images[i].width + '\" height=\"' + images[i].height + '\"></svg>'\n          });\n        }\n\n        return this.wrapper.render(src, { format: format, engine: engine, files: files, images: images, yInvert: yInvert });\n      }\n    }, {\n      key: 'renderSVGElement',\n      value: function renderSVGElement(src) {\n        var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n\n        return this.renderString(src, _extends({}, options, { format: 'svg' })).then(function (str) {\n          var parser = new DOMParser();\n          return parser.parseFromString(str, 'image/svg+xml').documentElement;\n        });\n      }\n    }, {\n      key: 'renderImageElement',\n      value: function renderImageElement(src) {\n        var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n        var scale = options.scale,\n            mimeType = options.mimeType,\n            quality = options.quality;\n\n\n        return this.renderString(src, _extends({}, options, { format: 'svg' })).then(function (str) {\n          if ((typeof fabric === 'undefined' ? 'undefined' : _typeof(fabric)) === \"object\" && fabric.loadSVGFromString) {\n            return svgXmlToImageElementFabric(str, { scale: scale, mimeType: mimeType, quality: quality });\n          } else {\n            return svgXmlToImageElement(str, { scale: scale, mimeType: mimeType, quality: quality });\n          }\n        });\n      }\n    }, {\n      key: 'renderJSONObject',\n      value: function renderJSONObject(src) {\n        var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n        var format = options.format;\n\n\n        if (format !== 'json' || format !== 'json0') {\n          format = 'json';\n        }\n\n        return this.renderString(src, _extends({}, options, { format: format })).then(function (str) {\n          return JSON.parse(str);\n        });\n      }\n    }]);\n    return Viz;\n  }();\n\n  return Viz;\n\n})));\n",
            "type": "application/javascript",
            "title": "$:/plugins/chanilino/viz/viz.js",
            "module-type": "library",
            "modifier": "chan",
            "modified": "20180705095216872",
            "creator": "chan",
            "created": "20180705095149455"
        },
        "$:/plugins/chanilino/viz/lite.render.js": {
            "text": "/*\nViz.js 2.0.0 (Graphviz 2.40.1, Emscripten 1.37.36)\n*/\n(function(global) {\nvar Module = function(Module) {\n  Module = Module || {};\nvar Module=typeof Module!==\"undefined\"?Module:{};var moduleOverrides={};var key;for(key in Module){if(Module.hasOwnProperty(key)){moduleOverrides[key]=Module[key]}}Module[\"arguments\"]=[];Module[\"thisProgram\"]=\"./this.program\";Module[\"quit\"]=(function(status,toThrow){throw toThrow});Module[\"preRun\"]=[];Module[\"postRun\"]=[];var ENVIRONMENT_IS_WEB=false;var ENVIRONMENT_IS_WORKER=false;var ENVIRONMENT_IS_NODE=false;var ENVIRONMENT_IS_SHELL=false;if(Module[\"ENVIRONMENT\"]){if(Module[\"ENVIRONMENT\"]===\"WEB\"){ENVIRONMENT_IS_WEB=true}else if(Module[\"ENVIRONMENT\"]===\"WORKER\"){ENVIRONMENT_IS_WORKER=true}else if(Module[\"ENVIRONMENT\"]===\"NODE\"){ENVIRONMENT_IS_NODE=true}else if(Module[\"ENVIRONMENT\"]===\"SHELL\"){ENVIRONMENT_IS_SHELL=true}else{throw new Error(\"Module['ENVIRONMENT'] value is not valid. must be one of: WEB|WORKER|NODE|SHELL.\")}}else{ENVIRONMENT_IS_WEB=typeof window===\"object\";ENVIRONMENT_IS_WORKER=typeof importScripts===\"function\";ENVIRONMENT_IS_NODE=typeof process===\"object\"&&typeof require===\"function\"&&!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_WORKER;ENVIRONMENT_IS_SHELL=!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_NODE&&!ENVIRONMENT_IS_WORKER}if(ENVIRONMENT_IS_NODE){var nodeFS;var nodePath;Module[\"read\"]=function shell_read(filename,binary){var ret;ret=tryParseAsDataURI(filename);if(!ret){if(!nodeFS)nodeFS=require(\"fs\");if(!nodePath)nodePath=require(\"path\");filename=nodePath[\"normalize\"](filename);ret=nodeFS[\"readFileSync\"](filename)}return binary?ret:ret.toString()};Module[\"readBinary\"]=function readBinary(filename){var ret=Module[\"read\"](filename,true);if(!ret.buffer){ret=new Uint8Array(ret)}assert(ret.buffer);return ret};if(process[\"argv\"].length>1){Module[\"thisProgram\"]=process[\"argv\"][1].replace(/\\\\/g,\"/\")}Module[\"arguments\"]=process[\"argv\"].slice(2);if(typeof module!==\"undefined\"){module[\"exports\"]=Module}process[\"on\"](\"uncaughtException\",(function(ex){if(!(ex instanceof ExitStatus)){throw ex}}));process[\"on\"](\"unhandledRejection\",(function(reason,p){process[\"exit\"](1)}));Module[\"inspect\"]=(function(){return\"[Emscripten Module object]\"})}else if(ENVIRONMENT_IS_SHELL){if(typeof read!=\"undefined\"){Module[\"read\"]=function shell_read(f){var data=tryParseAsDataURI(f);if(data){return intArrayToString(data)}return read(f)}}Module[\"readBinary\"]=function readBinary(f){var data;data=tryParseAsDataURI(f);if(data){return data}if(typeof readbuffer===\"function\"){return new Uint8Array(readbuffer(f))}data=read(f,\"binary\");assert(typeof data===\"object\");return data};if(typeof scriptArgs!=\"undefined\"){Module[\"arguments\"]=scriptArgs}else if(typeof arguments!=\"undefined\"){Module[\"arguments\"]=arguments}if(typeof quit===\"function\"){Module[\"quit\"]=(function(status,toThrow){quit(status)})}}else if(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER){Module[\"read\"]=function shell_read(url){try{var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.send(null);return xhr.responseText}catch(err){var data=tryParseAsDataURI(url);if(data){return intArrayToString(data)}throw err}};if(ENVIRONMENT_IS_WORKER){Module[\"readBinary\"]=function readBinary(url){try{var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.responseType=\"arraybuffer\";xhr.send(null);return new Uint8Array(xhr.response)}catch(err){var data=tryParseAsDataURI(url);if(data){return data}throw err}}}Module[\"readAsync\"]=function readAsync(url,onload,onerror){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,true);xhr.responseType=\"arraybuffer\";xhr.onload=function xhr_onload(){if(xhr.status==200||xhr.status==0&&xhr.response){onload(xhr.response);return}var data=tryParseAsDataURI(url);if(data){onload(data.buffer);return}onerror()};xhr.onerror=onerror;xhr.send(null)};if(typeof arguments!=\"undefined\"){Module[\"arguments\"]=arguments}Module[\"setWindowTitle\"]=(function(title){document.title=title})}Module[\"print\"]=typeof console!==\"undefined\"?console.log.bind(console):typeof print!==\"undefined\"?print:null;Module[\"printErr\"]=typeof printErr!==\"undefined\"?printErr:typeof console!==\"undefined\"&&console.warn.bind(console)||Module[\"print\"];Module.print=Module[\"print\"];Module.printErr=Module[\"printErr\"];for(key in moduleOverrides){if(moduleOverrides.hasOwnProperty(key)){Module[key]=moduleOverrides[key]}}moduleOverrides=undefined;var STACK_ALIGN=16;function staticAlloc(size){assert(!staticSealed);var ret=STATICTOP;STATICTOP=STATICTOP+size+15&-16;return ret}function dynamicAlloc(size){assert(DYNAMICTOP_PTR);var ret=HEAP32[DYNAMICTOP_PTR>>2];var end=ret+size+15&-16;HEAP32[DYNAMICTOP_PTR>>2]=end;if(end>=TOTAL_MEMORY){var success=enlargeMemory();if(!success){HEAP32[DYNAMICTOP_PTR>>2]=ret;return 0}}return ret}function alignMemory(size,factor){if(!factor)factor=STACK_ALIGN;var ret=size=Math.ceil(size/factor)*factor;return ret}function getNativeTypeSize(type){switch(type){case\"i1\":case\"i8\":return 1;case\"i16\":return 2;case\"i32\":return 4;case\"i64\":return 8;case\"float\":return 4;case\"double\":return 8;default:{if(type[type.length-1]===\"*\"){return 4}else if(type[0]===\"i\"){var bits=parseInt(type.substr(1));assert(bits%8===0);return bits/8}else{return 0}}}}function warnOnce(text){if(!warnOnce.shown)warnOnce.shown={};if(!warnOnce.shown[text]){warnOnce.shown[text]=1;Module.printErr(text)}}var jsCallStartIndex=1;var functionPointers=new Array(0);var funcWrappers={};function dynCall(sig,ptr,args){if(args&&args.length){return Module[\"dynCall_\"+sig].apply(null,[ptr].concat(args))}else{return Module[\"dynCall_\"+sig].call(null,ptr)}}var GLOBAL_BASE=8;var ABORT=0;var EXITSTATUS=0;function assert(condition,text){if(!condition){abort(\"Assertion failed: \"+text)}}function getCFunc(ident){var func=Module[\"_\"+ident];assert(func,\"Cannot call unknown function \"+ident+\", make sure it is exported\");return func}var JSfuncs={\"stackSave\":(function(){stackSave()}),\"stackRestore\":(function(){stackRestore()}),\"arrayToC\":(function(arr){var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}),\"stringToC\":(function(str){var ret=0;if(str!==null&&str!==undefined&&str!==0){var len=(str.length<<2)+1;ret=stackAlloc(len);stringToUTF8(str,ret,len)}return ret})};var toC={\"string\":JSfuncs[\"stringToC\"],\"array\":JSfuncs[\"arrayToC\"]};function ccall(ident,returnType,argTypes,args,opts){var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i<args.length;i++){var converter=toC[argTypes[i]];if(converter){if(stack===0)stack=stackSave();cArgs[i]=converter(args[i])}else{cArgs[i]=args[i]}}}var ret=func.apply(null,cArgs);if(returnType===\"string\")ret=Pointer_stringify(ret);if(stack!==0){stackRestore(stack)}return ret}function setValue(ptr,value,type,noSafe){type=type||\"i8\";if(type.charAt(type.length-1)===\"*\")type=\"i32\";switch(type){case\"i1\":HEAP8[ptr>>0]=value;break;case\"i8\":HEAP8[ptr>>0]=value;break;case\"i16\":HEAP16[ptr>>1]=value;break;case\"i32\":HEAP32[ptr>>2]=value;break;case\"i64\":tempI64=[value>>>0,(tempDouble=value,+Math_abs(tempDouble)>=+1?tempDouble>+0?(Math_min(+Math_floor(tempDouble/+4294967296),+4294967295)|0)>>>0:~~+Math_ceil((tempDouble- +(~~tempDouble>>>0))/+4294967296)>>>0:0)],HEAP32[ptr>>2]=tempI64[0],HEAP32[ptr+4>>2]=tempI64[1];break;case\"float\":HEAPF32[ptr>>2]=value;break;case\"double\":HEAPF64[ptr>>3]=value;break;default:abort(\"invalid type for setValue: \"+type)}}var ALLOC_STATIC=2;var ALLOC_NONE=4;function allocate(slab,types,allocator,ptr){var zeroinit,size;if(typeof slab===\"number\"){zeroinit=true;size=slab}else{zeroinit=false;size=slab.length}var singleType=typeof types===\"string\"?types:null;var ret;if(allocator==ALLOC_NONE){ret=ptr}else{ret=[typeof _malloc===\"function\"?_malloc:staticAlloc,stackAlloc,staticAlloc,dynamicAlloc][allocator===undefined?ALLOC_STATIC:allocator](Math.max(size,singleType?1:types.length))}if(zeroinit){var stop;ptr=ret;assert((ret&3)==0);stop=ret+(size&~3);for(;ptr<stop;ptr+=4){HEAP32[ptr>>2]=0}stop=ret+size;while(ptr<stop){HEAP8[ptr++>>0]=0}return ret}if(singleType===\"i8\"){if(slab.subarray||slab.slice){HEAPU8.set(slab,ret)}else{HEAPU8.set(new Uint8Array(slab),ret)}return ret}var i=0,type,typeSize,previousType;while(i<size){var curr=slab[i];type=singleType||types[i];if(type===0){i++;continue}if(type==\"i64\")type=\"i32\";setValue(ret+i,curr,type);if(previousType!==type){typeSize=getNativeTypeSize(type);previousType=type}i+=typeSize}return ret}function Pointer_stringify(ptr,length){if(length===0||!ptr)return\"\";var hasUtf=0;var t;var i=0;while(1){t=HEAPU8[ptr+i>>0];hasUtf|=t;if(t==0&&!length)break;i++;if(length&&i==length)break}if(!length)length=i;var ret=\"\";if(hasUtf<128){var MAX_CHUNK=1024;var curr;while(length>0){curr=String.fromCharCode.apply(String,HEAPU8.subarray(ptr,ptr+Math.min(length,MAX_CHUNK)));ret=ret?ret+curr:curr;ptr+=MAX_CHUNK;length-=MAX_CHUNK}return ret}return UTF8ToString(ptr)}var UTF8Decoder=typeof TextDecoder!==\"undefined\"?new TextDecoder(\"utf8\"):undefined;function UTF8ArrayToString(u8Array,idx){var endPtr=idx;while(u8Array[endPtr])++endPtr;if(endPtr-idx>16&&u8Array.subarray&&UTF8Decoder){return UTF8Decoder.decode(u8Array.subarray(idx,endPtr))}else{var u0,u1,u2,u3,u4,u5;var str=\"\";while(1){u0=u8Array[idx++];if(!u0)return str;if(!(u0&128)){str+=String.fromCharCode(u0);continue}u1=u8Array[idx++]&63;if((u0&224)==192){str+=String.fromCharCode((u0&31)<<6|u1);continue}u2=u8Array[idx++]&63;if((u0&240)==224){u0=(u0&15)<<12|u1<<6|u2}else{u3=u8Array[idx++]&63;if((u0&248)==240){u0=(u0&7)<<18|u1<<12|u2<<6|u3}else{u4=u8Array[idx++]&63;if((u0&252)==248){u0=(u0&3)<<24|u1<<18|u2<<12|u3<<6|u4}else{u5=u8Array[idx++]&63;u0=(u0&1)<<30|u1<<24|u2<<18|u3<<12|u4<<6|u5}}}if(u0<65536){str+=String.fromCharCode(u0)}else{var ch=u0-65536;str+=String.fromCharCode(55296|ch>>10,56320|ch&1023)}}}}function UTF8ToString(ptr){return UTF8ArrayToString(HEAPU8,ptr)}function stringToUTF8Array(str,outU8Array,outIdx,maxBytesToWrite){if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var endIdx=outIdx+maxBytesToWrite-1;for(var i=0;i<str.length;++i){var u=str.charCodeAt(i);if(u>=55296&&u<=57343)u=65536+((u&1023)<<10)|str.charCodeAt(++i)&1023;if(u<=127){if(outIdx>=endIdx)break;outU8Array[outIdx++]=u}else if(u<=2047){if(outIdx+1>=endIdx)break;outU8Array[outIdx++]=192|u>>6;outU8Array[outIdx++]=128|u&63}else if(u<=65535){if(outIdx+2>=endIdx)break;outU8Array[outIdx++]=224|u>>12;outU8Array[outIdx++]=128|u>>6&63;outU8Array[outIdx++]=128|u&63}else if(u<=2097151){if(outIdx+3>=endIdx)break;outU8Array[outIdx++]=240|u>>18;outU8Array[outIdx++]=128|u>>12&63;outU8Array[outIdx++]=128|u>>6&63;outU8Array[outIdx++]=128|u&63}else if(u<=67108863){if(outIdx+4>=endIdx)break;outU8Array[outIdx++]=248|u>>24;outU8Array[outIdx++]=128|u>>18&63;outU8Array[outIdx++]=128|u>>12&63;outU8Array[outIdx++]=128|u>>6&63;outU8Array[outIdx++]=128|u&63}else{if(outIdx+5>=endIdx)break;outU8Array[outIdx++]=252|u>>30;outU8Array[outIdx++]=128|u>>24&63;outU8Array[outIdx++]=128|u>>18&63;outU8Array[outIdx++]=128|u>>12&63;outU8Array[outIdx++]=128|u>>6&63;outU8Array[outIdx++]=128|u&63}}outU8Array[outIdx]=0;return outIdx-startIdx}function stringToUTF8(str,outPtr,maxBytesToWrite){return stringToUTF8Array(str,HEAPU8,outPtr,maxBytesToWrite)}function lengthBytesUTF8(str){var len=0;for(var i=0;i<str.length;++i){var u=str.charCodeAt(i);if(u>=55296&&u<=57343)u=65536+((u&1023)<<10)|str.charCodeAt(++i)&1023;if(u<=127){++len}else if(u<=2047){len+=2}else if(u<=65535){len+=3}else if(u<=2097151){len+=4}else if(u<=67108863){len+=5}else{len+=6}}return len}var UTF16Decoder=typeof TextDecoder!==\"undefined\"?new TextDecoder(\"utf-16le\"):undefined;function allocateUTF8(str){var size=lengthBytesUTF8(str)+1;var ret=_malloc(size);if(ret)stringToUTF8Array(str,HEAP8,ret,size);return ret}function demangle(func){return func}function demangleAll(text){var regex=/__Z[\\w\\d_]+/g;return text.replace(regex,(function(x){var y=demangle(x);return x===y?x:x+\" [\"+y+\"]\"}))}function jsStackTrace(){var err=new Error;if(!err.stack){try{throw new Error(0)}catch(e){err=e}if(!err.stack){return\"(no stack trace available)\"}}return err.stack.toString()}function stackTrace(){var js=jsStackTrace();if(Module[\"extraStackTrace\"])js+=\"\\n\"+Module[\"extraStackTrace\"]();return demangleAll(js)}var PAGE_SIZE=16384;var buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferViews(){Module[\"HEAP8\"]=HEAP8=new Int8Array(buffer);Module[\"HEAP16\"]=HEAP16=new Int16Array(buffer);Module[\"HEAP32\"]=HEAP32=new Int32Array(buffer);Module[\"HEAPU8\"]=HEAPU8=new Uint8Array(buffer);Module[\"HEAPU16\"]=HEAPU16=new Uint16Array(buffer);Module[\"HEAPU32\"]=HEAPU32=new Uint32Array(buffer);Module[\"HEAPF32\"]=HEAPF32=new Float32Array(buffer);Module[\"HEAPF64\"]=HEAPF64=new Float64Array(buffer)}var STATIC_BASE,STATICTOP,staticSealed;var STACK_BASE,STACKTOP,STACK_MAX;var DYNAMIC_BASE,DYNAMICTOP_PTR;STATIC_BASE=STATICTOP=STACK_BASE=STACKTOP=STACK_MAX=DYNAMIC_BASE=DYNAMICTOP_PTR=0;staticSealed=false;function abortOnCannotGrowMemory(){abort(\"Cannot enlarge memory arrays. Either (1) compile with  -s TOTAL_MEMORY=X  with X higher than the current value \"+TOTAL_MEMORY+\", (2) compile with  -s ALLOW_MEMORY_GROWTH=1  which allows increasing the size at runtime but prevents some optimizations, (3) set Module.TOTAL_MEMORY to a higher value before the program runs, or (4) if you want malloc to return NULL (0) instead of this abort, compile with  -s ABORTING_MALLOC=0 \")}function enlargeMemory(){abortOnCannotGrowMemory()}var TOTAL_STACK=Module[\"TOTAL_STACK\"]||5242880;var TOTAL_MEMORY=Module[\"TOTAL_MEMORY\"]||16777216;if(TOTAL_MEMORY<TOTAL_STACK)Module.printErr(\"TOTAL_MEMORY should be larger than TOTAL_STACK, was \"+TOTAL_MEMORY+\"! (TOTAL_STACK=\"+TOTAL_STACK+\")\");if(Module[\"buffer\"]){buffer=Module[\"buffer\"]}else{{buffer=new ArrayBuffer(TOTAL_MEMORY)}Module[\"buffer\"]=buffer}updateGlobalBufferViews();function getTotalMemory(){return TOTAL_MEMORY}HEAP32[0]=1668509029;HEAP16[1]=25459;if(HEAPU8[2]!==115||HEAPU8[3]!==99)throw\"Runtime error: expected the system to be little-endian!\";function callRuntimeCallbacks(callbacks){while(callbacks.length>0){var callback=callbacks.shift();if(typeof callback==\"function\"){callback();continue}var func=callback.func;if(typeof func===\"number\"){if(callback.arg===undefined){Module[\"dynCall_v\"](func)}else{Module[\"dynCall_vi\"](func,callback.arg)}}else{func(callback.arg===undefined?null:callback.arg)}}}var __ATPRERUN__=[];var __ATINIT__=[];var __ATMAIN__=[];var __ATEXIT__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;var runtimeExited=false;function preRun(){if(Module[\"preRun\"]){if(typeof Module[\"preRun\"]==\"function\")Module[\"preRun\"]=[Module[\"preRun\"]];while(Module[\"preRun\"].length){addOnPreRun(Module[\"preRun\"].shift())}}callRuntimeCallbacks(__ATPRERUN__)}function ensureInitRuntime(){if(runtimeInitialized)return;runtimeInitialized=true;callRuntimeCallbacks(__ATINIT__)}function preMain(){callRuntimeCallbacks(__ATMAIN__)}function exitRuntime(){callRuntimeCallbacks(__ATEXIT__);runtimeExited=true}function postRun(){if(Module[\"postRun\"]){if(typeof Module[\"postRun\"]==\"function\")Module[\"postRun\"]=[Module[\"postRun\"]];while(Module[\"postRun\"].length){addOnPostRun(Module[\"postRun\"].shift())}}callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(cb){__ATPRERUN__.unshift(cb)}function addOnPostRun(cb){__ATPOSTRUN__.unshift(cb)}function writeArrayToMemory(array,buffer){HEAP8.set(array,buffer)}function writeAsciiToMemory(str,buffer,dontAddNull){for(var i=0;i<str.length;++i){HEAP8[buffer++>>0]=str.charCodeAt(i)}if(!dontAddNull)HEAP8[buffer>>0]=0}if(!Math[\"imul\"]||Math[\"imul\"](4294967295,5)!==-5)Math[\"imul\"]=function imul(a,b){var ah=a>>>16;var al=a&65535;var bh=b>>>16;var bl=b&65535;return al*bl+(ah*bl+al*bh<<16)|0};Math.imul=Math[\"imul\"];if(!Math[\"clz32\"])Math[\"clz32\"]=(function(x){x=x>>>0;for(var i=0;i<32;i++){if(x&1<<31-i)return i}return 32});Math.clz32=Math[\"clz32\"];if(!Math[\"trunc\"])Math[\"trunc\"]=(function(x){return x<0?Math.ceil(x):Math.floor(x)});Math.trunc=Math[\"trunc\"];var Math_abs=Math.abs;var Math_cos=Math.cos;var Math_sin=Math.sin;var Math_tan=Math.tan;var Math_acos=Math.acos;var Math_asin=Math.asin;var Math_atan=Math.atan;var Math_atan2=Math.atan2;var Math_exp=Math.exp;var Math_log=Math.log;var Math_sqrt=Math.sqrt;var Math_ceil=Math.ceil;var Math_floor=Math.floor;var Math_pow=Math.pow;var Math_imul=Math.imul;var Math_fround=Math.fround;var Math_round=Math.round;var Math_min=Math.min;var Math_max=Math.max;var Math_clz32=Math.clz32;var Math_trunc=Math.trunc;var runDependencies=0;var runDependencyWatcher=null;var dependenciesFulfilled=null;function getUniqueRunDependency(id){return id}function addRunDependency(id){runDependencies++;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}}function removeRunDependency(id){runDependencies--;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}if(runDependencies==0){if(runDependencyWatcher!==null){clearInterval(runDependencyWatcher);runDependencyWatcher=null}if(dependenciesFulfilled){var callback=dependenciesFulfilled;dependenciesFulfilled=null;callback()}}}Module[\"preloadedImages\"]={};Module[\"preloadedAudios\"]={};var memoryInitializer=null;var dataURIPrefix=\"data:application/octet-stream;base64,\";function isDataURI(filename){return String.prototype.startsWith?filename.startsWith(dataURIPrefix):filename.indexOf(dataURIPrefix)===0}var 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tempDoublePtr=STATICTOP;STATICTOP+=16;function ___assert_fail(condition,filename,line,func){abort(\"Assertion failed: \"+Pointer_stringify(condition)+\", at: \"+[filename?Pointer_stringify(filename):\"unknown filename\",line,func?Pointer_stringify(func):\"unknown function\"])}function _emscripten_get_now(){abort()}function _emscripten_get_now_is_monotonic(){return ENVIRONMENT_IS_NODE||typeof dateNow!==\"undefined\"||(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&self[\"performance\"]&&self[\"performance\"][\"now\"]}var ERRNO_CODES={EPERM:1,ENOENT:2,ESRCH:3,EINTR:4,EIO:5,ENXIO:6,E2BIG:7,ENOEXEC:8,EBADF:9,ECHILD:10,EAGAIN:11,EWOULDBLOCK:11,ENOMEM:12,EACCES:13,EFAULT:14,ENOTBLK:15,EBUSY:16,EEXIST:17,EXDEV:18,ENODEV:19,ENOTDIR:20,EISDIR:21,EINVAL:22,ENFILE:23,EMFILE:24,ENOTTY:25,ETXTBSY:26,EFBIG:27,ENOSPC:28,ESPIPE:29,EROFS:30,EMLINK:31,EPIPE:32,EDOM:33,ERANGE:34,ENOMSG:42,EIDRM:43,ECHRNG:44,EL2NSYNC:45,EL3HLT:46,EL3RST:47,ELNRNG:48,EUNATCH:49,ENOCSI:50,EL2HLT:51,EDEADLK:35,ENOLCK:37,EBADE:52,EBADR:53,EXFULL:54,ENOANO:55,EBADRQC:56,EBADSLT:57,EDEADLOCK:35,EBFONT:59,ENOSTR:60,ENODATA:61,ETIME:62,ENOSR:63,ENONET:64,ENOPKG:65,EREMOTE:66,ENOLINK:67,EADV:68,ESRMNT:69,ECOMM:70,EPROTO:71,EMULTIHOP:72,EDOTDOT:73,EBADMSG:74,ENOTUNIQ:76,EBADFD:77,EREMCHG:78,ELIBACC:79,ELIBBAD:80,ELIBSCN:81,ELIBMAX:82,ELIBEXEC:83,ENOSYS:38,ENOTEMPTY:39,ENAMETOOLONG:36,ELOOP:40,EOPNOTSUPP:95,EPFNOSUPPORT:96,ECONNRESET:104,ENOBUFS:105,EAFNOSUPPORT:97,EPROTOTYPE:91,ENOTSOCK:88,ENOPROTOOPT:92,ESHUTDOWN:108,ECONNREFUSED:111,EADDRINUSE:98,ECONNABORTED:103,ENETUNREACH:101,ENETDOWN:100,ETIMEDOUT:110,EHOSTDOWN:112,EHOSTUNREACH:113,EINPROGRESS:115,EALREADY:114,EDESTADDRREQ:89,EMSGSIZE:90,EPROTONOSUPPORT:93,ESOCKTNOSUPPORT:94,EADDRNOTAVAIL:99,ENETRESET:102,EISCONN:106,ENOTCONN:107,ETOOMANYREFS:109,EUSERS:87,EDQUOT:122,ESTALE:116,ENOTSUP:95,ENOMEDIUM:123,EILSEQ:84,EOVERFLOW:75,ECANCELED:125,ENOTRECOVERABLE:131,EOWNERDEAD:130,ESTRPIPE:86};function ___setErrNo(value){if(Module[\"___errno_location\"])HEAP32[Module[\"___errno_location\"]()>>2]=value;return value}function _clock_gettime(clk_id,tp){var now;if(clk_id===0){now=Date.now()}else if(clk_id===1&&_emscripten_get_now_is_monotonic()){now=_emscripten_get_now()}else{___setErrNo(ERRNO_CODES.EINVAL);return-1}HEAP32[tp>>2]=now/1e3|0;HEAP32[tp+4>>2]=now%1e3*1e3*1e3|0;return 0}function ___clock_gettime(){return _clock_gettime.apply(null,arguments)}function ___lock(){}function ___map_file(pathname,size){___setErrNo(ERRNO_CODES.EPERM);return-1}var ERRNO_MESSAGES={0:\"Success\",1:\"Not super-user\",2:\"No such file or directory\",3:\"No such process\",4:\"Interrupted system call\",5:\"I/O error\",6:\"No such device or address\",7:\"Arg list too long\",8:\"Exec format error\",9:\"Bad file number\",10:\"No children\",11:\"No more processes\",12:\"Not enough core\",13:\"Permission denied\",14:\"Bad address\",15:\"Block device required\",16:\"Mount device busy\",17:\"File exists\",18:\"Cross-device link\",19:\"No such device\",20:\"Not a directory\",21:\"Is a directory\",22:\"Invalid argument\",23:\"Too many open files in system\",24:\"Too many open files\",25:\"Not a typewriter\",26:\"Text file busy\",27:\"File too large\",28:\"No space left on device\",29:\"Illegal seek\",30:\"Read only file system\",31:\"Too many links\",32:\"Broken pipe\",33:\"Math arg out of domain of func\",34:\"Math result not representable\",35:\"File locking deadlock error\",36:\"File or path name too long\",37:\"No record locks available\",38:\"Function not implemented\",39:\"Directory not empty\",40:\"Too many symbolic links\",42:\"No message of desired type\",43:\"Identifier removed\",44:\"Channel number out of range\",45:\"Level 2 not synchronized\",46:\"Level 3 halted\",47:\"Level 3 reset\",48:\"Link number out of range\",49:\"Protocol driver not attached\",50:\"No CSI structure available\",51:\"Level 2 halted\",52:\"Invalid exchange\",53:\"Invalid request descriptor\",54:\"Exchange full\",55:\"No anode\",56:\"Invalid request code\",57:\"Invalid slot\",59:\"Bad font file fmt\",60:\"Device not a stream\",61:\"No data (for no delay io)\",62:\"Timer expired\",63:\"Out of streams resources\",64:\"Machine is not on the network\",65:\"Package not installed\",66:\"The object is remote\",67:\"The link has been severed\",68:\"Advertise error\",69:\"Srmount error\",70:\"Communication error on send\",71:\"Protocol error\",72:\"Multihop attempted\",73:\"Cross mount point (not really error)\",74:\"Trying to read unreadable message\",75:\"Value too large for defined data type\",76:\"Given log. name not unique\",77:\"f.d. invalid for this operation\",78:\"Remote address changed\",79:\"Can   access a needed shared lib\",80:\"Accessing a corrupted shared lib\",81:\".lib section in a.out corrupted\",82:\"Attempting to link in too many libs\",83:\"Attempting to exec a shared library\",84:\"Illegal byte sequence\",86:\"Streams pipe error\",87:\"Too many users\",88:\"Socket operation on non-socket\",89:\"Destination address required\",90:\"Message too long\",91:\"Protocol wrong type for socket\",92:\"Protocol not available\",93:\"Unknown protocol\",94:\"Socket type not supported\",95:\"Not supported\",96:\"Protocol family not supported\",97:\"Address family not supported by protocol family\",98:\"Address already in use\",99:\"Address not available\",100:\"Network interface is not configured\",101:\"Network is unreachable\",102:\"Connection reset by network\",103:\"Connection aborted\",104:\"Connection reset by peer\",105:\"No buffer space available\",106:\"Socket is already connected\",107:\"Socket is not connected\",108:\"Can't send after socket shutdown\",109:\"Too many references\",110:\"Connection timed out\",111:\"Connection refused\",112:\"Host is down\",113:\"Host is unreachable\",114:\"Socket already connected\",115:\"Connection already in progress\",116:\"Stale file handle\",122:\"Quota exceeded\",123:\"No medium (in tape drive)\",125:\"Operation canceled\",130:\"Previous owner died\",131:\"State not recoverable\"};var PATH={splitPath:(function(filename){var splitPathRe=/^(\\/?|)([\\s\\S]*?)((?:\\.{1,2}|[^\\/]+?|)(\\.[^.\\/]*|))(?:[\\/]*)$/;return splitPathRe.exec(filename).slice(1)}),normalizeArray:(function(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last===\".\"){parts.splice(i,1)}else if(last===\"..\"){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift(\"..\")}}return parts}),normalize:(function(path){var isAbsolute=path.charAt(0)===\"/\",trailingSlash=path.substr(-1)===\"/\";path=PATH.normalizeArray(path.split(\"/\").filter((function(p){return!!p})),!isAbsolute).join(\"/\");if(!path&&!isAbsolute){path=\".\"}if(path&&trailingSlash){path+=\"/\"}return(isAbsolute?\"/\":\"\")+path}),dirname:(function(path){var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return\".\"}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir}),basename:(function(path){if(path===\"/\")return\"/\";var lastSlash=path.lastIndexOf(\"/\");if(lastSlash===-1)return path;return path.substr(lastSlash+1)}),extname:(function(path){return PATH.splitPath(path)[3]}),join:(function(){var paths=Array.prototype.slice.call(arguments,0);return PATH.normalize(paths.join(\"/\"))}),join2:(function(l,r){return PATH.normalize(l+\"/\"+r)}),resolve:(function(){var resolvedPath=\"\",resolvedAbsolute=false;for(var i=arguments.length-1;i>=-1&&!resolvedAbsolute;i--){var path=i>=0?arguments[i]:FS.cwd();if(typeof path!==\"string\"){throw new TypeError(\"Arguments to path.resolve must be strings\")}else if(!path){return\"\"}resolvedPath=path+\"/\"+resolvedPath;resolvedAbsolute=path.charAt(0)===\"/\"}resolvedPath=PATH.normalizeArray(resolvedPath.split(\"/\").filter((function(p){return!!p})),!resolvedAbsolute).join(\"/\");return(resolvedAbsolute?\"/\":\"\")+resolvedPath||\".\"}),relative:(function(from,to){from=PATH.resolve(from).substr(1);to=PATH.resolve(to).substr(1);function trim(arr){var start=0;for(;start<arr.length;start++){if(arr[start]!==\"\")break}var end=arr.length-1;for(;end>=0;end--){if(arr[end]!==\"\")break}if(start>end)return[];return arr.slice(start,end-start+1)}var fromParts=trim(from.split(\"/\"));var toParts=trim(to.split(\"/\"));var length=Math.min(fromParts.length,toParts.length);var samePartsLength=length;for(var i=0;i<length;i++){if(fromParts[i]!==toParts[i]){samePartsLength=i;break}}var outputParts=[];for(var i=samePartsLength;i<fromParts.length;i++){outputParts.push(\"..\")}outputParts=outputParts.concat(toParts.slice(samePartsLength));return outputParts.join(\"/\")})};var TTY={ttys:[],init:(function(){}),shutdown:(function(){}),register:(function(dev,ops){TTY.ttys[dev]={input:[],output:[],ops:ops};FS.registerDevice(dev,TTY.stream_ops)}),stream_ops:{open:(function(stream){var tty=TTY.ttys[stream.node.rdev];if(!tty){throw new FS.ErrnoError(ERRNO_CODES.ENODEV)}stream.tty=tty;stream.seekable=false}),close:(function(stream){stream.tty.ops.flush(stream.tty)}),flush:(function(stream){stream.tty.ops.flush(stream.tty)}),read:(function(stream,buffer,offset,length,pos){if(!stream.tty||!stream.tty.ops.get_char){throw new FS.ErrnoError(ERRNO_CODES.ENXIO)}var bytesRead=0;for(var i=0;i<length;i++){var result;try{result=stream.tty.ops.get_char(stream.tty)}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EIO)}if(result===undefined&&bytesRead===0){throw new FS.ErrnoError(ERRNO_CODES.EAGAIN)}if(result===null||result===undefined)break;bytesRead++;buffer[offset+i]=result}if(bytesRead){stream.node.timestamp=Date.now()}return bytesRead}),write:(function(stream,buffer,offset,length,pos){if(!stream.tty||!stream.tty.ops.put_char){throw new FS.ErrnoError(ERRNO_CODES.ENXIO)}for(var i=0;i<length;i++){try{stream.tty.ops.put_char(stream.tty,buffer[offset+i])}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EIO)}}if(length){stream.node.timestamp=Date.now()}return i})},default_tty_ops:{get_char:(function(tty){if(!tty.input.length){var result=null;if(ENVIRONMENT_IS_NODE){var BUFSIZE=256;var buf=new Buffer(BUFSIZE);var bytesRead=0;var isPosixPlatform=process.platform!=\"win32\";var fd=process.stdin.fd;if(isPosixPlatform){var usingDevice=false;try{fd=fs.openSync(\"/dev/stdin\",\"r\");usingDevice=true}catch(e){}}try{bytesRead=fs.readSync(fd,buf,0,BUFSIZE,null)}catch(e){if(e.toString().indexOf(\"EOF\")!=-1)bytesRead=0;else throw e}if(usingDevice){fs.closeSync(fd)}if(bytesRead>0){result=buf.slice(0,bytesRead).toString(\"utf-8\")}else{result=null}}else if(typeof window!=\"undefined\"&&typeof window.prompt==\"function\"){result=window.prompt(\"Input: \");if(result!==null){result+=\"\\n\"}}else if(typeof readline==\"function\"){result=readline();if(result!==null){result+=\"\\n\"}}if(!result){return null}tty.input=intArrayFromString(result,true)}return tty.input.shift()}),put_char:(function(tty,val){if(val===null||val===10){Module[\"print\"](UTF8ArrayToString(tty.output,0));tty.output=[]}else{if(val!=0)tty.output.push(val)}}),flush:(function(tty){if(tty.output&&tty.output.length>0){Module[\"print\"](UTF8ArrayToString(tty.output,0));tty.output=[]}})},default_tty1_ops:{put_char:(function(tty,val){if(val===null||val===10){Module[\"printErr\"](UTF8ArrayToString(tty.output,0));tty.output=[]}else{if(val!=0)tty.output.push(val)}}),flush:(function(tty){if(tty.output&&tty.output.length>0){Module[\"printErr\"](UTF8ArrayToString(tty.output,0));tty.output=[]}})}};var MEMFS={ops_table:null,mount:(function(mount){return MEMFS.createNode(null,\"/\",16384|511,0)}),createNode:(function(parent,name,mode,dev){if(FS.isBlkdev(mode)||FS.isFIFO(mode)){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}if(!MEMFS.ops_table){MEMFS.ops_table={dir:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr,lookup:MEMFS.node_ops.lookup,mknod:MEMFS.node_ops.mknod,rename:MEMFS.node_ops.rename,unlink:MEMFS.node_ops.unlink,rmdir:MEMFS.node_ops.rmdir,readdir:MEMFS.node_ops.readdir,symlink:MEMFS.node_ops.symlink},stream:{llseek:MEMFS.stream_ops.llseek}},file:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr},stream:{llseek:MEMFS.stream_ops.llseek,read:MEMFS.stream_ops.read,write:MEMFS.stream_ops.write,allocate:MEMFS.stream_ops.allocate,mmap:MEMFS.stream_ops.mmap,msync:MEMFS.stream_ops.msync}},link:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr,readlink:MEMFS.node_ops.readlink},stream:{}},chrdev:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr},stream:FS.chrdev_stream_ops}}}var node=FS.createNode(parent,name,mode,dev);if(FS.isDir(node.mode)){node.node_ops=MEMFS.ops_table.dir.node;node.stream_ops=MEMFS.ops_table.dir.stream;node.contents={}}else if(FS.isFile(node.mode)){node.node_ops=MEMFS.ops_table.file.node;node.stream_ops=MEMFS.ops_table.file.stream;node.usedBytes=0;node.contents=null}else if(FS.isLink(node.mode)){node.node_ops=MEMFS.ops_table.link.node;node.stream_ops=MEMFS.ops_table.link.stream}else if(FS.isChrdev(node.mode)){node.node_ops=MEMFS.ops_table.chrdev.node;node.stream_ops=MEMFS.ops_table.chrdev.stream}node.timestamp=Date.now();if(parent){parent.contents[name]=node}return node}),getFileDataAsRegularArray:(function(node){if(node.contents&&node.contents.subarray){var arr=[];for(var i=0;i<node.usedBytes;++i)arr.push(node.contents[i]);return arr}return node.contents}),getFileDataAsTypedArray:(function(node){if(!node.contents)return new Uint8Array;if(node.contents.subarray)return node.contents.subarray(0,node.usedBytes);return new Uint8Array(node.contents)}),expandFileStorage:(function(node,newCapacity){if(node.contents&&node.contents.subarray&&newCapacity>node.contents.length){node.contents=MEMFS.getFileDataAsRegularArray(node);node.usedBytes=node.contents.length}if(!node.contents||node.contents.subarray){var prevCapacity=node.contents?node.contents.length:0;if(prevCapacity>=newCapacity)return;var CAPACITY_DOUBLING_MAX=1024*1024;newCapacity=Math.max(newCapacity,prevCapacity*(prevCapacity<CAPACITY_DOUBLING_MAX?2:1.125)|0);if(prevCapacity!=0)newCapacity=Math.max(newCapacity,256);var oldContents=node.contents;node.contents=new Uint8Array(newCapacity);if(node.usedBytes>0)node.contents.set(oldContents.subarray(0,node.usedBytes),0);return}if(!node.contents&&newCapacity>0)node.contents=[];while(node.contents.length<newCapacity)node.contents.push(0)}),resizeFileStorage:(function(node,newSize){if(node.usedBytes==newSize)return;if(newSize==0){node.contents=null;node.usedBytes=0;return}if(!node.contents||node.contents.subarray){var oldContents=node.contents;node.contents=new Uint8Array(new ArrayBuffer(newSize));if(oldContents){node.contents.set(oldContents.subarray(0,Math.min(newSize,node.usedBytes)))}node.usedBytes=newSize;return}if(!node.contents)node.contents=[];if(node.contents.length>newSize)node.contents.length=newSize;else while(node.contents.length<newSize)node.contents.push(0);node.usedBytes=newSize}),node_ops:{getattr:(function(node){var attr={};attr.dev=FS.isChrdev(node.mode)?node.id:1;attr.ino=node.id;attr.mode=node.mode;attr.nlink=1;attr.uid=0;attr.gid=0;attr.rdev=node.rdev;if(FS.isDir(node.mode)){attr.size=4096}else if(FS.isFile(node.mode)){attr.size=node.usedBytes}else if(FS.isLink(node.mode)){attr.size=node.link.length}else{attr.size=0}attr.atime=new Date(node.timestamp);attr.mtime=new Date(node.timestamp);attr.ctime=new Date(node.timestamp);attr.blksize=4096;attr.blocks=Math.ceil(attr.size/attr.blksize);return attr}),setattr:(function(node,attr){if(attr.mode!==undefined){node.mode=attr.mode}if(attr.timestamp!==undefined){node.timestamp=attr.timestamp}if(attr.size!==undefined){MEMFS.resizeFileStorage(node,attr.size)}}),lookup:(function(parent,name){throw FS.genericErrors[ERRNO_CODES.ENOENT]}),mknod:(function(parent,name,mode,dev){return MEMFS.createNode(parent,name,mode,dev)}),rename:(function(old_node,new_dir,new_name){if(FS.isDir(old_node.mode)){var new_node;try{new_node=FS.lookupNode(new_dir,new_name)}catch(e){}if(new_node){for(var i in new_node.contents){throw new FS.ErrnoError(ERRNO_CODES.ENOTEMPTY)}}}delete old_node.parent.contents[old_node.name];old_node.name=new_name;new_dir.contents[new_name]=old_node;old_node.parent=new_dir}),unlink:(function(parent,name){delete parent.contents[name]}),rmdir:(function(parent,name){var node=FS.lookupNode(parent,name);for(var i in node.contents){throw new FS.ErrnoError(ERRNO_CODES.ENOTEMPTY)}delete parent.contents[name]}),readdir:(function(node){var entries=[\".\",\"..\"];for(var key in node.contents){if(!node.contents.hasOwnProperty(key)){continue}entries.push(key)}return entries}),symlink:(function(parent,newname,oldpath){var node=MEMFS.createNode(parent,newname,511|40960,0);node.link=oldpath;return node}),readlink:(function(node){if(!FS.isLink(node.mode)){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}return node.link})},stream_ops:{read:(function(stream,buffer,offset,length,position){var contents=stream.node.contents;if(position>=stream.node.usedBytes)return 0;var size=Math.min(stream.node.usedBytes-position,length);assert(size>=0);if(size>8&&contents.subarray){buffer.set(contents.subarray(position,position+size),offset)}else{for(var i=0;i<size;i++)buffer[offset+i]=contents[position+i]}return size}),write:(function(stream,buffer,offset,length,position,canOwn){if(!length)return 0;var node=stream.node;node.timestamp=Date.now();if(buffer.subarray&&(!node.contents||node.contents.subarray)){if(canOwn){node.contents=buffer.subarray(offset,offset+length);node.usedBytes=length;return length}else if(node.usedBytes===0&&position===0){node.contents=new Uint8Array(buffer.subarray(offset,offset+length));node.usedBytes=length;return length}else if(position+length<=node.usedBytes){node.contents.set(buffer.subarray(offset,offset+length),position);return length}}MEMFS.expandFileStorage(node,position+length);if(node.contents.subarray&&buffer.subarray)node.contents.set(buffer.subarray(offset,offset+length),position);else{for(var i=0;i<length;i++){node.contents[position+i]=buffer[offset+i]}}node.usedBytes=Math.max(node.usedBytes,position+length);return length}),llseek:(function(stream,offset,whence){var position=offset;if(whence===1){position+=stream.position}else if(whence===2){if(FS.isFile(stream.node.mode)){position+=stream.node.usedBytes}}if(position<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}return position}),allocate:(function(stream,offset,length){MEMFS.expandFileStorage(stream.node,offset+length);stream.node.usedBytes=Math.max(stream.node.usedBytes,offset+length)}),mmap:(function(stream,buffer,offset,length,position,prot,flags){if(!FS.isFile(stream.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENODEV)}var ptr;var allocated;var contents=stream.node.contents;if(!(flags&2)&&(contents.buffer===buffer||contents.buffer===buffer.buffer)){allocated=false;ptr=contents.byteOffset}else{if(position>0||position+length<stream.node.usedBytes){if(contents.subarray){contents=contents.subarray(position,position+length)}else{contents=Array.prototype.slice.call(contents,position,position+length)}}allocated=true;ptr=_malloc(length);if(!ptr){throw new FS.ErrnoError(ERRNO_CODES.ENOMEM)}buffer.set(contents,ptr)}return{ptr:ptr,allocated:allocated}}),msync:(function(stream,buffer,offset,length,mmapFlags){if(!FS.isFile(stream.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENODEV)}if(mmapFlags&2){return 0}var bytesWritten=MEMFS.stream_ops.write(stream,buffer,0,length,offset,false);return 0})}};var IDBFS={dbs:{},indexedDB:(function(){if(typeof indexedDB!==\"undefined\")return indexedDB;var ret=null;if(typeof window===\"object\")ret=window.indexedDB||window.mozIndexedDB||window.webkitIndexedDB||window.msIndexedDB;assert(ret,\"IDBFS used, but indexedDB not supported\");return ret}),DB_VERSION:21,DB_STORE_NAME:\"FILE_DATA\",mount:(function(mount){return MEMFS.mount.apply(null,arguments)}),syncfs:(function(mount,populate,callback){IDBFS.getLocalSet(mount,(function(err,local){if(err)return callback(err);IDBFS.getRemoteSet(mount,(function(err,remote){if(err)return callback(err);var src=populate?remote:local;var dst=populate?local:remote;IDBFS.reconcile(src,dst,callback)}))}))}),getDB:(function(name,callback){var db=IDBFS.dbs[name];if(db){return callback(null,db)}var req;try{req=IDBFS.indexedDB().open(name,IDBFS.DB_VERSION)}catch(e){return callback(e)}if(!req){return callback(\"Unable to connect to IndexedDB\")}req.onupgradeneeded=(function(e){var db=e.target.result;var transaction=e.target.transaction;var fileStore;if(db.objectStoreNames.contains(IDBFS.DB_STORE_NAME)){fileStore=transaction.objectStore(IDBFS.DB_STORE_NAME)}else{fileStore=db.createObjectStore(IDBFS.DB_STORE_NAME)}if(!fileStore.indexNames.contains(\"timestamp\")){fileStore.createIndex(\"timestamp\",\"timestamp\",{unique:false})}});req.onsuccess=(function(){db=req.result;IDBFS.dbs[name]=db;callback(null,db)});req.onerror=(function(e){callback(this.error);e.preventDefault()})}),getLocalSet:(function(mount,callback){var entries={};function isRealDir(p){return p!==\".\"&&p!==\"..\"}function toAbsolute(root){return(function(p){return PATH.join2(root,p)})}var check=FS.readdir(mount.mountpoint).filter(isRealDir).map(toAbsolute(mount.mountpoint));while(check.length){var path=check.pop();var stat;try{stat=FS.stat(path)}catch(e){return callback(e)}if(FS.isDir(stat.mode)){check.push.apply(check,FS.readdir(path).filter(isRealDir).map(toAbsolute(path)))}entries[path]={timestamp:stat.mtime}}return callback(null,{type:\"local\",entries:entries})}),getRemoteSet:(function(mount,callback){var entries={};IDBFS.getDB(mount.mountpoint,(function(err,db){if(err)return callback(err);try{var transaction=db.transaction([IDBFS.DB_STORE_NAME],\"readonly\");transaction.onerror=(function(e){callback(this.error);e.preventDefault()});var store=transaction.objectStore(IDBFS.DB_STORE_NAME);var index=store.index(\"timestamp\");index.openKeyCursor().onsuccess=(function(event){var cursor=event.target.result;if(!cursor){return callback(null,{type:\"remote\",db:db,entries:entries})}entries[cursor.primaryKey]={timestamp:cursor.key};cursor.continue()})}catch(e){return callback(e)}}))}),loadLocalEntry:(function(path,callback){var stat,node;try{var lookup=FS.lookupPath(path);node=lookup.node;stat=FS.stat(path)}catch(e){return callback(e)}if(FS.isDir(stat.mode)){return callback(null,{timestamp:stat.mtime,mode:stat.mode})}else if(FS.isFile(stat.mode)){node.contents=MEMFS.getFileDataAsTypedArray(node);return callback(null,{timestamp:stat.mtime,mode:stat.mode,contents:node.contents})}else{return callback(new Error(\"node type not supported\"))}}),storeLocalEntry:(function(path,entry,callback){try{if(FS.isDir(entry.mode)){FS.mkdir(path,entry.mode)}else if(FS.isFile(entry.mode)){FS.writeFile(path,entry.contents,{canOwn:true})}else{return callback(new Error(\"node type not supported\"))}FS.chmod(path,entry.mode);FS.utime(path,entry.timestamp,entry.timestamp)}catch(e){return callback(e)}callback(null)}),removeLocalEntry:(function(path,callback){try{var lookup=FS.lookupPath(path);var stat=FS.stat(path);if(FS.isDir(stat.mode)){FS.rmdir(path)}else if(FS.isFile(stat.mode)){FS.unlink(path)}}catch(e){return callback(e)}callback(null)}),loadRemoteEntry:(function(store,path,callback){var req=store.get(path);req.onsuccess=(function(event){callback(null,event.target.result)});req.onerror=(function(e){callback(this.error);e.preventDefault()})}),storeRemoteEntry:(function(store,path,entry,callback){var req=store.put(entry,path);req.onsuccess=(function(){callback(null)});req.onerror=(function(e){callback(this.error);e.preventDefault()})}),removeRemoteEntry:(function(store,path,callback){var req=store.delete(path);req.onsuccess=(function(){callback(null)});req.onerror=(function(e){callback(this.error);e.preventDefault()})}),reconcile:(function(src,dst,callback){var total=0;var create=[];Object.keys(src.entries).forEach((function(key){var e=src.entries[key];var e2=dst.entries[key];if(!e2||e.timestamp>e2.timestamp){create.push(key);total++}}));var remove=[];Object.keys(dst.entries).forEach((function(key){var e=dst.entries[key];var e2=src.entries[key];if(!e2){remove.push(key);total++}}));if(!total){return callback(null)}var completed=0;var db=src.type===\"remote\"?src.db:dst.db;var transaction=db.transaction([IDBFS.DB_STORE_NAME],\"readwrite\");var store=transaction.objectStore(IDBFS.DB_STORE_NAME);function done(err){if(err){if(!done.errored){done.errored=true;return callback(err)}return}if(++completed>=total){return callback(null)}}transaction.onerror=(function(e){done(this.error);e.preventDefault()});create.sort().forEach((function(path){if(dst.type===\"local\"){IDBFS.loadRemoteEntry(store,path,(function(err,entry){if(err)return done(err);IDBFS.storeLocalEntry(path,entry,done)}))}else{IDBFS.loadLocalEntry(path,(function(err,entry){if(err)return done(err);IDBFS.storeRemoteEntry(store,path,entry,done)}))}}));remove.sort().reverse().forEach((function(path){if(dst.type===\"local\"){IDBFS.removeLocalEntry(path,done)}else{IDBFS.removeRemoteEntry(store,path,done)}}))})};var NODEFS={isWindows:false,staticInit:(function(){NODEFS.isWindows=!!process.platform.match(/^win/);var flags=process[\"binding\"](\"constants\");if(flags[\"fs\"]){flags=flags[\"fs\"]}NODEFS.flagsForNodeMap={\"1024\":flags[\"O_APPEND\"],\"64\":flags[\"O_CREAT\"],\"128\":flags[\"O_EXCL\"],\"0\":flags[\"O_RDONLY\"],\"2\":flags[\"O_RDWR\"],\"4096\":flags[\"O_SYNC\"],\"512\":flags[\"O_TRUNC\"],\"1\":flags[\"O_WRONLY\"]}}),bufferFrom:(function(arrayBuffer){return Buffer.alloc?Buffer.from(arrayBuffer):new Buffer(arrayBuffer)}),mount:(function(mount){assert(ENVIRONMENT_IS_NODE);return NODEFS.createNode(null,\"/\",NODEFS.getMode(mount.opts.root),0)}),createNode:(function(parent,name,mode,dev){if(!FS.isDir(mode)&&!FS.isFile(mode)&&!FS.isLink(mode)){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var node=FS.createNode(parent,name,mode);node.node_ops=NODEFS.node_ops;node.stream_ops=NODEFS.stream_ops;return node}),getMode:(function(path){var stat;try{stat=fs.lstatSync(path);if(NODEFS.isWindows){stat.mode=stat.mode|(stat.mode&292)>>2}}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}return stat.mode}),realPath:(function(node){var parts=[];while(node.parent!==node){parts.push(node.name);node=node.parent}parts.push(node.mount.opts.root);parts.reverse();return PATH.join.apply(null,parts)}),flagsForNode:(function(flags){flags&=~2097152;flags&=~2048;flags&=~32768;flags&=~524288;var newFlags=0;for(var k in NODEFS.flagsForNodeMap){if(flags&k){newFlags|=NODEFS.flagsForNodeMap[k];flags^=k}}if(!flags){return newFlags}else{throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}}),node_ops:{getattr:(function(node){var path=NODEFS.realPath(node);var stat;try{stat=fs.lstatSync(path)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}if(NODEFS.isWindows&&!stat.blksize){stat.blksize=4096}if(NODEFS.isWindows&&!stat.blocks){stat.blocks=(stat.size+stat.blksize-1)/stat.blksize|0}return{dev:stat.dev,ino:stat.ino,mode:stat.mode,nlink:stat.nlink,uid:stat.uid,gid:stat.gid,rdev:stat.rdev,size:stat.size,atime:stat.atime,mtime:stat.mtime,ctime:stat.ctime,blksize:stat.blksize,blocks:stat.blocks}}),setattr:(function(node,attr){var path=NODEFS.realPath(node);try{if(attr.mode!==undefined){fs.chmodSync(path,attr.mode);node.mode=attr.mode}if(attr.timestamp!==undefined){var date=new Date(attr.timestamp);fs.utimesSync(path,date,date)}if(attr.size!==undefined){fs.truncateSync(path,attr.size)}}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),lookup:(function(parent,name){var path=PATH.join2(NODEFS.realPath(parent),name);var mode=NODEFS.getMode(path);return NODEFS.createNode(parent,name,mode)}),mknod:(function(parent,name,mode,dev){var node=NODEFS.createNode(parent,name,mode,dev);var path=NODEFS.realPath(node);try{if(FS.isDir(node.mode)){fs.mkdirSync(path,node.mode)}else{fs.writeFileSync(path,\"\",{mode:node.mode})}}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}return node}),rename:(function(oldNode,newDir,newName){var oldPath=NODEFS.realPath(oldNode);var newPath=PATH.join2(NODEFS.realPath(newDir),newName);try{fs.renameSync(oldPath,newPath)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),unlink:(function(parent,name){var path=PATH.join2(NODEFS.realPath(parent),name);try{fs.unlinkSync(path)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),rmdir:(function(parent,name){var path=PATH.join2(NODEFS.realPath(parent),name);try{fs.rmdirSync(path)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),readdir:(function(node){var path=NODEFS.realPath(node);try{return fs.readdirSync(path)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),symlink:(function(parent,newName,oldPath){var newPath=PATH.join2(NODEFS.realPath(parent),newName);try{fs.symlinkSync(oldPath,newPath)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),readlink:(function(node){var path=NODEFS.realPath(node);try{path=fs.readlinkSync(path);path=NODEJS_PATH.relative(NODEJS_PATH.resolve(node.mount.opts.root),path);return path}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}})},stream_ops:{open:(function(stream){var path=NODEFS.realPath(stream.node);try{if(FS.isFile(stream.node.mode)){stream.nfd=fs.openSync(path,NODEFS.flagsForNode(stream.flags))}}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),close:(function(stream){try{if(FS.isFile(stream.node.mode)&&stream.nfd){fs.closeSync(stream.nfd)}}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),read:(function(stream,buffer,offset,length,position){if(length===0)return 0;try{return fs.readSync(stream.nfd,NODEFS.bufferFrom(buffer.buffer),offset,length,position)}catch(e){throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),write:(function(stream,buffer,offset,length,position){try{return fs.writeSync(stream.nfd,NODEFS.bufferFrom(buffer.buffer),offset,length,position)}catch(e){throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),llseek:(function(stream,offset,whence){var position=offset;if(whence===1){position+=stream.position}else if(whence===2){if(FS.isFile(stream.node.mode)){try{var stat=fs.fstatSync(stream.nfd);position+=stat.size}catch(e){throw new FS.ErrnoError(ERRNO_CODES[e.code])}}}if(position<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}return position})}};var WORKERFS={DIR_MODE:16895,FILE_MODE:33279,reader:null,mount:(function(mount){assert(ENVIRONMENT_IS_WORKER);if(!WORKERFS.reader)WORKERFS.reader=new FileReaderSync;var root=WORKERFS.createNode(null,\"/\",WORKERFS.DIR_MODE,0);var createdParents={};function ensureParent(path){var parts=path.split(\"/\");var parent=root;for(var i=0;i<parts.length-1;i++){var curr=parts.slice(0,i+1).join(\"/\");if(!createdParents[curr]){createdParents[curr]=WORKERFS.createNode(parent,parts[i],WORKERFS.DIR_MODE,0)}parent=createdParents[curr]}return parent}function base(path){var parts=path.split(\"/\");return parts[parts.length-1]}Array.prototype.forEach.call(mount.opts[\"files\"]||[],(function(file){WORKERFS.createNode(ensureParent(file.name),base(file.name),WORKERFS.FILE_MODE,0,file,file.lastModifiedDate)}));(mount.opts[\"blobs\"]||[]).forEach((function(obj){WORKERFS.createNode(ensureParent(obj[\"name\"]),base(obj[\"name\"]),WORKERFS.FILE_MODE,0,obj[\"data\"])}));(mount.opts[\"packages\"]||[]).forEach((function(pack){pack[\"metadata\"].files.forEach((function(file){var name=file.filename.substr(1);WORKERFS.createNode(ensureParent(name),base(name),WORKERFS.FILE_MODE,0,pack[\"blob\"].slice(file.start,file.end))}))}));return root}),createNode:(function(parent,name,mode,dev,contents,mtime){var node=FS.createNode(parent,name,mode);node.mode=mode;node.node_ops=WORKERFS.node_ops;node.stream_ops=WORKERFS.stream_ops;node.timestamp=(mtime||new Date).getTime();assert(WORKERFS.FILE_MODE!==WORKERFS.DIR_MODE);if(mode===WORKERFS.FILE_MODE){node.size=contents.size;node.contents=contents}else{node.size=4096;node.contents={}}if(parent){parent.contents[name]=node}return node}),node_ops:{getattr:(function(node){return{dev:1,ino:undefined,mode:node.mode,nlink:1,uid:0,gid:0,rdev:undefined,size:node.size,atime:new Date(node.timestamp),mtime:new Date(node.timestamp),ctime:new Date(node.timestamp),blksize:4096,blocks:Math.ceil(node.size/4096)}}),setattr:(function(node,attr){if(attr.mode!==undefined){node.mode=attr.mode}if(attr.timestamp!==undefined){node.timestamp=attr.timestamp}}),lookup:(function(parent,name){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}),mknod:(function(parent,name,mode,dev){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}),rename:(function(oldNode,newDir,newName){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}),unlink:(function(parent,name){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}),rmdir:(function(parent,name){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}),readdir:(function(node){var entries=[\".\",\"..\"];for(var key in node.contents){if(!node.contents.hasOwnProperty(key)){continue}entries.push(key)}return entries}),symlink:(function(parent,newName,oldPath){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}),readlink:(function(node){throw new FS.ErrnoError(ERRNO_CODES.EPERM)})},stream_ops:{read:(function(stream,buffer,offset,length,position){if(position>=stream.node.size)return 0;var chunk=stream.node.contents.slice(position,position+length);var ab=WORKERFS.reader.readAsArrayBuffer(chunk);buffer.set(new Uint8Array(ab),offset);return chunk.size}),write:(function(stream,buffer,offset,length,position){throw new FS.ErrnoError(ERRNO_CODES.EIO)}),llseek:(function(stream,offset,whence){var position=offset;if(whence===1){position+=stream.position}else if(whence===2){if(FS.isFile(stream.node.mode)){position+=stream.node.size}}if(position<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}return position})}};STATICTOP+=16;STATICTOP+=16;STATICTOP+=16;var FS={root:null,mounts:[],devices:{},streams:[],nextInode:1,nameTable:null,currentPath:\"/\",initialized:false,ignorePermissions:true,trackingDelegate:{},tracking:{openFlags:{READ:1,WRITE:2}},ErrnoError:null,genericErrors:{},filesystems:null,syncFSRequests:0,handleFSError:(function(e){if(!(e instanceof FS.ErrnoError))throw e+\" : \"+stackTrace();return ___setErrNo(e.errno)}),lookupPath:(function(path,opts){path=PATH.resolve(FS.cwd(),path);opts=opts||{};if(!path)return{path:\"\",node:null};var defaults={follow_mount:true,recurse_count:0};for(var key in defaults){if(opts[key]===undefined){opts[key]=defaults[key]}}if(opts.recurse_count>8){throw new FS.ErrnoError(ERRNO_CODES.ELOOP)}var parts=PATH.normalizeArray(path.split(\"/\").filter((function(p){return!!p})),false);var current=FS.root;var current_path=\"/\";for(var i=0;i<parts.length;i++){var islast=i===parts.length-1;if(islast&&opts.parent){break}current=FS.lookupNode(current,parts[i]);current_path=PATH.join2(current_path,parts[i]);if(FS.isMountpoint(current)){if(!islast||islast&&opts.follow_mount){current=current.mounted.root}}if(!islast||opts.follow){var count=0;while(FS.isLink(current.mode)){var link=FS.readlink(current_path);current_path=PATH.resolve(PATH.dirname(current_path),link);var lookup=FS.lookupPath(current_path,{recurse_count:opts.recurse_count});current=lookup.node;if(count++>40){throw new FS.ErrnoError(ERRNO_CODES.ELOOP)}}}}return{path:current_path,node:current}}),getPath:(function(node){var path;while(true){if(FS.isRoot(node)){var mount=node.mount.mountpoint;if(!path)return mount;return mount[mount.length-1]!==\"/\"?mount+\"/\"+path:mount+path}path=path?node.name+\"/\"+path:node.name;node=node.parent}}),hashName:(function(parentid,name){var hash=0;for(var i=0;i<name.length;i++){hash=(hash<<5)-hash+name.charCodeAt(i)|0}return(parentid+hash>>>0)%FS.nameTable.length}),hashAddNode:(function(node){var hash=FS.hashName(node.parent.id,node.name);node.name_next=FS.nameTable[hash];FS.nameTable[hash]=node}),hashRemoveNode:(function(node){var hash=FS.hashName(node.parent.id,node.name);if(FS.nameTable[hash]===node){FS.nameTable[hash]=node.name_next}else{var current=FS.nameTable[hash];while(current){if(current.name_next===node){current.name_next=node.name_next;break}current=current.name_next}}}),lookupNode:(function(parent,name){var err=FS.mayLookup(parent);if(err){throw new FS.ErrnoError(err,parent)}var hash=FS.hashName(parent.id,name);for(var node=FS.nameTable[hash];node;node=node.name_next){var nodeName=node.name;if(node.parent.id===parent.id&&nodeName===name){return node}}return FS.lookup(parent,name)}),createNode:(function(parent,name,mode,rdev){if(!FS.FSNode){FS.FSNode=(function(parent,name,mode,rdev){if(!parent){parent=this}this.parent=parent;this.mount=parent.mount;this.mounted=null;this.id=FS.nextInode++;this.name=name;this.mode=mode;this.node_ops={};this.stream_ops={};this.rdev=rdev});FS.FSNode.prototype={};var readMode=292|73;var writeMode=146;Object.defineProperties(FS.FSNode.prototype,{read:{get:(function(){return(this.mode&readMode)===readMode}),set:(function(val){val?this.mode|=readMode:this.mode&=~readMode})},write:{get:(function(){return(this.mode&writeMode)===writeMode}),set:(function(val){val?this.mode|=writeMode:this.mode&=~writeMode})},isFolder:{get:(function(){return FS.isDir(this.mode)})},isDevice:{get:(function(){return FS.isChrdev(this.mode)})}})}var node=new FS.FSNode(parent,name,mode,rdev);FS.hashAddNode(node);return node}),destroyNode:(function(node){FS.hashRemoveNode(node)}),isRoot:(function(node){return node===node.parent}),isMountpoint:(function(node){return!!node.mounted}),isFile:(function(mode){return(mode&61440)===32768}),isDir:(function(mode){return(mode&61440)===16384}),isLink:(function(mode){return(mode&61440)===40960}),isChrdev:(function(mode){return(mode&61440)===8192}),isBlkdev:(function(mode){return(mode&61440)===24576}),isFIFO:(function(mode){return(mode&61440)===4096}),isSocket:(function(mode){return(mode&49152)===49152}),flagModes:{\"r\":0,\"rs\":1052672,\"r+\":2,\"w\":577,\"wx\":705,\"xw\":705,\"w+\":578,\"wx+\":706,\"xw+\":706,\"a\":1089,\"ax\":1217,\"xa\":1217,\"a+\":1090,\"ax+\":1218,\"xa+\":1218},modeStringToFlags:(function(str){var flags=FS.flagModes[str];if(typeof flags===\"undefined\"){throw new Error(\"Unknown file open mode: \"+str)}return flags}),flagsToPermissionString:(function(flag){var perms=[\"r\",\"w\",\"rw\"][flag&3];if(flag&512){perms+=\"w\"}return perms}),nodePermissions:(function(node,perms){if(FS.ignorePermissions){return 0}if(perms.indexOf(\"r\")!==-1&&!(node.mode&292)){return ERRNO_CODES.EACCES}else if(perms.indexOf(\"w\")!==-1&&!(node.mode&146)){return ERRNO_CODES.EACCES}else if(perms.indexOf(\"x\")!==-1&&!(node.mode&73)){return ERRNO_CODES.EACCES}return 0}),mayLookup:(function(dir){var err=FS.nodePermissions(dir,\"x\");if(err)return err;if(!dir.node_ops.lookup)return ERRNO_CODES.EACCES;return 0}),mayCreate:(function(dir,name){try{var node=FS.lookupNode(dir,name);return ERRNO_CODES.EEXIST}catch(e){}return FS.nodePermissions(dir,\"wx\")}),mayDelete:(function(dir,name,isdir){var node;try{node=FS.lookupNode(dir,name)}catch(e){return e.errno}var err=FS.nodePermissions(dir,\"wx\");if(err){return err}if(isdir){if(!FS.isDir(node.mode)){return ERRNO_CODES.ENOTDIR}if(FS.isRoot(node)||FS.getPath(node)===FS.cwd()){return ERRNO_CODES.EBUSY}}else{if(FS.isDir(node.mode)){return ERRNO_CODES.EISDIR}}return 0}),mayOpen:(function(node,flags){if(!node){return ERRNO_CODES.ENOENT}if(FS.isLink(node.mode)){return ERRNO_CODES.ELOOP}else if(FS.isDir(node.mode)){if(FS.flagsToPermissionString(flags)!==\"r\"||flags&512){return ERRNO_CODES.EISDIR}}return FS.nodePermissions(node,FS.flagsToPermissionString(flags))}),MAX_OPEN_FDS:4096,nextfd:(function(fd_start,fd_end){fd_start=fd_start||0;fd_end=fd_end||FS.MAX_OPEN_FDS;for(var fd=fd_start;fd<=fd_end;fd++){if(!FS.streams[fd]){return fd}}throw new FS.ErrnoError(ERRNO_CODES.EMFILE)}),getStream:(function(fd){return FS.streams[fd]}),createStream:(function(stream,fd_start,fd_end){if(!FS.FSStream){FS.FSStream=(function(){});FS.FSStream.prototype={};Object.defineProperties(FS.FSStream.prototype,{object:{get:(function(){return this.node}),set:(function(val){this.node=val})},isRead:{get:(function(){return(this.flags&2097155)!==1})},isWrite:{get:(function(){return(this.flags&2097155)!==0})},isAppend:{get:(function(){return this.flags&1024})}})}var newStream=new FS.FSStream;for(var p in stream){newStream[p]=stream[p]}stream=newStream;var fd=FS.nextfd(fd_start,fd_end);stream.fd=fd;FS.streams[fd]=stream;return stream}),closeStream:(function(fd){FS.streams[fd]=null}),chrdev_stream_ops:{open:(function(stream){var device=FS.getDevice(stream.node.rdev);stream.stream_ops=device.stream_ops;if(stream.stream_ops.open){stream.stream_ops.open(stream)}}),llseek:(function(){throw new FS.ErrnoError(ERRNO_CODES.ESPIPE)})},major:(function(dev){return dev>>8}),minor:(function(dev){return dev&255}),makedev:(function(ma,mi){return ma<<8|mi}),registerDevice:(function(dev,ops){FS.devices[dev]={stream_ops:ops}}),getDevice:(function(dev){return FS.devices[dev]}),getMounts:(function(mount){var mounts=[];var check=[mount];while(check.length){var m=check.pop();mounts.push(m);check.push.apply(check,m.mounts)}return mounts}),syncfs:(function(populate,callback){if(typeof populate===\"function\"){callback=populate;populate=false}FS.syncFSRequests++;if(FS.syncFSRequests>1){console.log(\"warning: \"+FS.syncFSRequests+\" FS.syncfs operations in flight at once, probably just doing extra work\")}var mounts=FS.getMounts(FS.root.mount);var completed=0;function doCallback(err){assert(FS.syncFSRequests>0);FS.syncFSRequests--;return callback(err)}function done(err){if(err){if(!done.errored){done.errored=true;return doCallback(err)}return}if(++completed>=mounts.length){doCallback(null)}}mounts.forEach((function(mount){if(!mount.type.syncfs){return done(null)}mount.type.syncfs(mount,populate,done)}))}),mount:(function(type,opts,mountpoint){var root=mountpoint===\"/\";var pseudo=!mountpoint;var node;if(root&&FS.root){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}else if(!root&&!pseudo){var lookup=FS.lookupPath(mountpoint,{follow_mount:false});mountpoint=lookup.path;node=lookup.node;if(FS.isMountpoint(node)){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}if(!FS.isDir(node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENOTDIR)}}var mount={type:type,opts:opts,mountpoint:mountpoint,mounts:[]};var mountRoot=type.mount(mount);mountRoot.mount=mount;mount.root=mountRoot;if(root){FS.root=mountRoot}else if(node){node.mounted=mount;if(node.mount){node.mount.mounts.push(mount)}}return mountRoot}),unmount:(function(mountpoint){var lookup=FS.lookupPath(mountpoint,{follow_mount:false});if(!FS.isMountpoint(lookup.node)){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var node=lookup.node;var mount=node.mounted;var mounts=FS.getMounts(mount);Object.keys(FS.nameTable).forEach((function(hash){var current=FS.nameTable[hash];while(current){var next=current.name_next;if(mounts.indexOf(current.mount)!==-1){FS.destroyNode(current)}current=next}}));node.mounted=null;var idx=node.mount.mounts.indexOf(mount);assert(idx!==-1);node.mount.mounts.splice(idx,1)}),lookup:(function(parent,name){return parent.node_ops.lookup(parent,name)}),mknod:(function(path,mode,dev){var lookup=FS.lookupPath(path,{parent:true});var parent=lookup.node;var name=PATH.basename(path);if(!name||name===\".\"||name===\"..\"){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var err=FS.mayCreate(parent,name);if(err){throw new FS.ErrnoError(err)}if(!parent.node_ops.mknod){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}return parent.node_ops.mknod(parent,name,mode,dev)}),create:(function(path,mode){mode=mode!==undefined?mode:438;mode&=4095;mode|=32768;return FS.mknod(path,mode,0)}),mkdir:(function(path,mode){mode=mode!==undefined?mode:511;mode&=511|512;mode|=16384;return FS.mknod(path,mode,0)}),mkdirTree:(function(path,mode){var dirs=path.split(\"/\");var d=\"\";for(var i=0;i<dirs.length;++i){if(!dirs[i])continue;d+=\"/\"+dirs[i];try{FS.mkdir(d,mode)}catch(e){if(e.errno!=ERRNO_CODES.EEXIST)throw e}}}),mkdev:(function(path,mode,dev){if(typeof dev===\"undefined\"){dev=mode;mode=438}mode|=8192;return FS.mknod(path,mode,dev)}),symlink:(function(oldpath,newpath){if(!PATH.resolve(oldpath)){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}var lookup=FS.lookupPath(newpath,{parent:true});var parent=lookup.node;if(!parent){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}var newname=PATH.basename(newpath);var err=FS.mayCreate(parent,newname);if(err){throw new FS.ErrnoError(err)}if(!parent.node_ops.symlink){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}return parent.node_ops.symlink(parent,newname,oldpath)}),rename:(function(old_path,new_path){var old_dirname=PATH.dirname(old_path);var new_dirname=PATH.dirname(new_path);var old_name=PATH.basename(old_path);var new_name=PATH.basename(new_path);var lookup,old_dir,new_dir;try{lookup=FS.lookupPath(old_path,{parent:true});old_dir=lookup.node;lookup=FS.lookupPath(new_path,{parent:true});new_dir=lookup.node}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}if(!old_dir||!new_dir)throw new FS.ErrnoError(ERRNO_CODES.ENOENT);if(old_dir.mount!==new_dir.mount){throw new FS.ErrnoError(ERRNO_CODES.EXDEV)}var old_node=FS.lookupNode(old_dir,old_name);var relative=PATH.relative(old_path,new_dirname);if(relative.charAt(0)!==\".\"){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}relative=PATH.relative(new_path,old_dirname);if(relative.charAt(0)!==\".\"){throw new FS.ErrnoError(ERRNO_CODES.ENOTEMPTY)}var new_node;try{new_node=FS.lookupNode(new_dir,new_name)}catch(e){}if(old_node===new_node){return}var isdir=FS.isDir(old_node.mode);var err=FS.mayDelete(old_dir,old_name,isdir);if(err){throw new FS.ErrnoError(err)}err=new_node?FS.mayDelete(new_dir,new_name,isdir):FS.mayCreate(new_dir,new_name);if(err){throw new FS.ErrnoError(err)}if(!old_dir.node_ops.rename){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}if(FS.isMountpoint(old_node)||new_node&&FS.isMountpoint(new_node)){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}if(new_dir!==old_dir){err=FS.nodePermissions(old_dir,\"w\");if(err){throw new FS.ErrnoError(err)}}try{if(FS.trackingDelegate[\"willMovePath\"]){FS.trackingDelegate[\"willMovePath\"](old_path,new_path)}}catch(e){console.log(\"FS.trackingDelegate['willMovePath']('\"+old_path+\"', '\"+new_path+\"') threw an exception: \"+e.message)}FS.hashRemoveNode(old_node);try{old_dir.node_ops.rename(old_node,new_dir,new_name)}catch(e){throw e}finally{FS.hashAddNode(old_node)}try{if(FS.trackingDelegate[\"onMovePath\"])FS.trackingDelegate[\"onMovePath\"](old_path,new_path)}catch(e){console.log(\"FS.trackingDelegate['onMovePath']('\"+old_path+\"', '\"+new_path+\"') threw an exception: \"+e.message)}}),rmdir:(function(path){var lookup=FS.lookupPath(path,{parent:true});var parent=lookup.node;var name=PATH.basename(path);var node=FS.lookupNode(parent,name);var err=FS.mayDelete(parent,name,true);if(err){throw new FS.ErrnoError(err)}if(!parent.node_ops.rmdir){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}if(FS.isMountpoint(node)){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}try{if(FS.trackingDelegate[\"willDeletePath\"]){FS.trackingDelegate[\"willDeletePath\"](path)}}catch(e){console.log(\"FS.trackingDelegate['willDeletePath']('\"+path+\"') threw an exception: \"+e.message)}parent.node_ops.rmdir(parent,name);FS.destroyNode(node);try{if(FS.trackingDelegate[\"onDeletePath\"])FS.trackingDelegate[\"onDeletePath\"](path)}catch(e){console.log(\"FS.trackingDelegate['onDeletePath']('\"+path+\"') threw an exception: \"+e.message)}}),readdir:(function(path){var lookup=FS.lookupPath(path,{follow:true});var node=lookup.node;if(!node.node_ops.readdir){throw new FS.ErrnoError(ERRNO_CODES.ENOTDIR)}return node.node_ops.readdir(node)}),unlink:(function(path){var lookup=FS.lookupPath(path,{parent:true});var parent=lookup.node;var name=PATH.basename(path);var node=FS.lookupNode(parent,name);var err=FS.mayDelete(parent,name,false);if(err){throw new FS.ErrnoError(err)}if(!parent.node_ops.unlink){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}if(FS.isMountpoint(node)){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}try{if(FS.trackingDelegate[\"willDeletePath\"]){FS.trackingDelegate[\"willDeletePath\"](path)}}catch(e){console.log(\"FS.trackingDelegate['willDeletePath']('\"+path+\"') threw an exception: \"+e.message)}parent.node_ops.unlink(parent,name);FS.destroyNode(node);try{if(FS.trackingDelegate[\"onDeletePath\"])FS.trackingDelegate[\"onDeletePath\"](path)}catch(e){console.log(\"FS.trackingDelegate['onDeletePath']('\"+path+\"') threw an exception: \"+e.message)}}),readlink:(function(path){var lookup=FS.lookupPath(path);var link=lookup.node;if(!link){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}if(!link.node_ops.readlink){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}return PATH.resolve(FS.getPath(link.parent),link.node_ops.readlink(link))}),stat:(function(path,dontFollow){var lookup=FS.lookupPath(path,{follow:!dontFollow});var node=lookup.node;if(!node){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}if(!node.node_ops.getattr){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}return node.node_ops.getattr(node)}),lstat:(function(path){return FS.stat(path,true)}),chmod:(function(path,mode,dontFollow){var node;if(typeof path===\"string\"){var lookup=FS.lookupPath(path,{follow:!dontFollow});node=lookup.node}else{node=path}if(!node.node_ops.setattr){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}node.node_ops.setattr(node,{mode:mode&4095|node.mode&~4095,timestamp:Date.now()})}),lchmod:(function(path,mode){FS.chmod(path,mode,true)}),fchmod:(function(fd,mode){var stream=FS.getStream(fd);if(!stream){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}FS.chmod(stream.node,mode)}),chown:(function(path,uid,gid,dontFollow){var node;if(typeof path===\"string\"){var lookup=FS.lookupPath(path,{follow:!dontFollow});node=lookup.node}else{node=path}if(!node.node_ops.setattr){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}node.node_ops.setattr(node,{timestamp:Date.now()})}),lchown:(function(path,uid,gid){FS.chown(path,uid,gid,true)}),fchown:(function(fd,uid,gid){var stream=FS.getStream(fd);if(!stream){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}FS.chown(stream.node,uid,gid)}),truncate:(function(path,len){if(len<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var node;if(typeof path===\"string\"){var lookup=FS.lookupPath(path,{follow:true});node=lookup.node}else{node=path}if(!node.node_ops.setattr){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}if(FS.isDir(node.mode)){throw new FS.ErrnoError(ERRNO_CODES.EISDIR)}if(!FS.isFile(node.mode)){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var err=FS.nodePermissions(node,\"w\");if(err){throw new FS.ErrnoError(err)}node.node_ops.setattr(node,{size:len,timestamp:Date.now()})}),ftruncate:(function(fd,len){var stream=FS.getStream(fd);if(!stream){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if((stream.flags&2097155)===0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}FS.truncate(stream.node,len)}),utime:(function(path,atime,mtime){var lookup=FS.lookupPath(path,{follow:true});var node=lookup.node;node.node_ops.setattr(node,{timestamp:Math.max(atime,mtime)})}),open:(function(path,flags,mode,fd_start,fd_end){if(path===\"\"){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}flags=typeof flags===\"string\"?FS.modeStringToFlags(flags):flags;mode=typeof mode===\"undefined\"?438:mode;if(flags&64){mode=mode&4095|32768}else{mode=0}var node;if(typeof path===\"object\"){node=path}else{path=PATH.normalize(path);try{var lookup=FS.lookupPath(path,{follow:!(flags&131072)});node=lookup.node}catch(e){}}var created=false;if(flags&64){if(node){if(flags&128){throw new FS.ErrnoError(ERRNO_CODES.EEXIST)}}else{node=FS.mknod(path,mode,0);created=true}}if(!node){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}if(FS.isChrdev(node.mode)){flags&=~512}if(flags&65536&&!FS.isDir(node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENOTDIR)}if(!created){var err=FS.mayOpen(node,flags);if(err){throw new FS.ErrnoError(err)}}if(flags&512){FS.truncate(node,0)}flags&=~(128|512);var stream=FS.createStream({node:node,path:FS.getPath(node),flags:flags,seekable:true,position:0,stream_ops:node.stream_ops,ungotten:[],error:false},fd_start,fd_end);if(stream.stream_ops.open){stream.stream_ops.open(stream)}if(Module[\"logReadFiles\"]&&!(flags&1)){if(!FS.readFiles)FS.readFiles={};if(!(path in FS.readFiles)){FS.readFiles[path]=1;Module[\"printErr\"](\"read file: \"+path)}}try{if(FS.trackingDelegate[\"onOpenFile\"]){var trackingFlags=0;if((flags&2097155)!==1){trackingFlags|=FS.tracking.openFlags.READ}if((flags&2097155)!==0){trackingFlags|=FS.tracking.openFlags.WRITE}FS.trackingDelegate[\"onOpenFile\"](path,trackingFlags)}}catch(e){console.log(\"FS.trackingDelegate['onOpenFile']('\"+path+\"', flags) threw an exception: \"+e.message)}return stream}),close:(function(stream){if(stream.getdents)stream.getdents=null;try{if(stream.stream_ops.close){stream.stream_ops.close(stream)}}catch(e){throw e}finally{FS.closeStream(stream.fd)}}),llseek:(function(stream,offset,whence){if(!stream.seekable||!stream.stream_ops.llseek){throw new FS.ErrnoError(ERRNO_CODES.ESPIPE)}stream.position=stream.stream_ops.llseek(stream,offset,whence);stream.ungotten=[];return stream.position}),read:(function(stream,buffer,offset,length,position){if(length<0||position<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}if((stream.flags&2097155)===1){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if(FS.isDir(stream.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.EISDIR)}if(!stream.stream_ops.read){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var seeking=typeof position!==\"undefined\";if(!seeking){position=stream.position}else if(!stream.seekable){throw new FS.ErrnoError(ERRNO_CODES.ESPIPE)}var bytesRead=stream.stream_ops.read(stream,buffer,offset,length,position);if(!seeking)stream.position+=bytesRead;return bytesRead}),write:(function(stream,buffer,offset,length,position,canOwn){if(length<0||position<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}if((stream.flags&2097155)===0){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if(FS.isDir(stream.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.EISDIR)}if(!stream.stream_ops.write){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}if(stream.flags&1024){FS.llseek(stream,0,2)}var seeking=typeof position!==\"undefined\";if(!seeking){position=stream.position}else if(!stream.seekable){throw new FS.ErrnoError(ERRNO_CODES.ESPIPE)}var bytesWritten=stream.stream_ops.write(stream,buffer,offset,length,position,canOwn);if(!seeking)stream.position+=bytesWritten;try{if(stream.path&&FS.trackingDelegate[\"onWriteToFile\"])FS.trackingDelegate[\"onWriteToFile\"](stream.path)}catch(e){console.log(\"FS.trackingDelegate['onWriteToFile']('\"+path+\"') threw an exception: \"+e.message)}return bytesWritten}),allocate:(function(stream,offset,length){if(offset<0||length<=0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}if((stream.flags&2097155)===0){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if(!FS.isFile(stream.node.mode)&&!FS.isDir(stream.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENODEV)}if(!stream.stream_ops.allocate){throw new FS.ErrnoError(ERRNO_CODES.EOPNOTSUPP)}stream.stream_ops.allocate(stream,offset,length)}),mmap:(function(stream,buffer,offset,length,position,prot,flags){if((stream.flags&2097155)===1){throw new FS.ErrnoError(ERRNO_CODES.EACCES)}if(!stream.stream_ops.mmap){throw new FS.ErrnoError(ERRNO_CODES.ENODEV)}return stream.stream_ops.mmap(stream,buffer,offset,length,position,prot,flags)}),msync:(function(stream,buffer,offset,length,mmapFlags){if(!stream||!stream.stream_ops.msync){return 0}return stream.stream_ops.msync(stream,buffer,offset,length,mmapFlags)}),munmap:(function(stream){return 0}),ioctl:(function(stream,cmd,arg){if(!stream.stream_ops.ioctl){throw new FS.ErrnoError(ERRNO_CODES.ENOTTY)}return stream.stream_ops.ioctl(stream,cmd,arg)}),readFile:(function(path,opts){opts=opts||{};opts.flags=opts.flags||\"r\";opts.encoding=opts.encoding||\"binary\";if(opts.encoding!==\"utf8\"&&opts.encoding!==\"binary\"){throw new Error('Invalid encoding type \"'+opts.encoding+'\"')}var ret;var stream=FS.open(path,opts.flags);var stat=FS.stat(path);var length=stat.size;var buf=new Uint8Array(length);FS.read(stream,buf,0,length,0);if(opts.encoding===\"utf8\"){ret=UTF8ArrayToString(buf,0)}else if(opts.encoding===\"binary\"){ret=buf}FS.close(stream);return ret}),writeFile:(function(path,data,opts){opts=opts||{};opts.flags=opts.flags||\"w\";var stream=FS.open(path,opts.flags,opts.mode);if(typeof data===\"string\"){var buf=new Uint8Array(lengthBytesUTF8(data)+1);var actualNumBytes=stringToUTF8Array(data,buf,0,buf.length);FS.write(stream,buf,0,actualNumBytes,undefined,opts.canOwn)}else if(ArrayBuffer.isView(data)){FS.write(stream,data,0,data.byteLength,undefined,opts.canOwn)}else{throw new Error(\"Unsupported data type\")}FS.close(stream)}),cwd:(function(){return FS.currentPath}),chdir:(function(path){var lookup=FS.lookupPath(path,{follow:true});if(lookup.node===null){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}if(!FS.isDir(lookup.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENOTDIR)}var err=FS.nodePermissions(lookup.node,\"x\");if(err){throw new FS.ErrnoError(err)}FS.currentPath=lookup.path}),createDefaultDirectories:(function(){FS.mkdir(\"/tmp\");FS.mkdir(\"/home\");FS.mkdir(\"/home/web_user\")}),createDefaultDevices:(function(){FS.mkdir(\"/dev\");FS.registerDevice(FS.makedev(1,3),{read:(function(){return 0}),write:(function(stream,buffer,offset,length,pos){return length})});FS.mkdev(\"/dev/null\",FS.makedev(1,3));TTY.register(FS.makedev(5,0),TTY.default_tty_ops);TTY.register(FS.makedev(6,0),TTY.default_tty1_ops);FS.mkdev(\"/dev/tty\",FS.makedev(5,0));FS.mkdev(\"/dev/tty1\",FS.makedev(6,0));var random_device;if(typeof crypto!==\"undefined\"){var randomBuffer=new Uint8Array(1);random_device=(function(){crypto.getRandomValues(randomBuffer);return randomBuffer[0]})}else if(ENVIRONMENT_IS_NODE){random_device=(function(){return require(\"crypto\")[\"randomBytes\"](1)[0]})}else{random_device=(function(){return Math.random()*256|0})}FS.createDevice(\"/dev\",\"random\",random_device);FS.createDevice(\"/dev\",\"urandom\",random_device);FS.mkdir(\"/dev/shm\");FS.mkdir(\"/dev/shm/tmp\")}),createSpecialDirectories:(function(){FS.mkdir(\"/proc\");FS.mkdir(\"/proc/self\");FS.mkdir(\"/proc/self/fd\");FS.mount({mount:(function(){var node=FS.createNode(\"/proc/self\",\"fd\",16384|511,73);node.node_ops={lookup:(function(parent,name){var fd=+name;var stream=FS.getStream(fd);if(!stream)throw new FS.ErrnoError(ERRNO_CODES.EBADF);var ret={parent:null,mount:{mountpoint:\"fake\"},node_ops:{readlink:(function(){return stream.path})}};ret.parent=ret;return ret})};return node})},{},\"/proc/self/fd\")}),createStandardStreams:(function(){if(Module[\"stdin\"]){FS.createDevice(\"/dev\",\"stdin\",Module[\"stdin\"])}else{FS.symlink(\"/dev/tty\",\"/dev/stdin\")}if(Module[\"stdout\"]){FS.createDevice(\"/dev\",\"stdout\",null,Module[\"stdout\"])}else{FS.symlink(\"/dev/tty\",\"/dev/stdout\")}if(Module[\"stderr\"]){FS.createDevice(\"/dev\",\"stderr\",null,Module[\"stderr\"])}else{FS.symlink(\"/dev/tty1\",\"/dev/stderr\")}var stdin=FS.open(\"/dev/stdin\",\"r\");assert(stdin.fd===0,\"invalid handle for stdin (\"+stdin.fd+\")\");var stdout=FS.open(\"/dev/stdout\",\"w\");assert(stdout.fd===1,\"invalid handle for stdout (\"+stdout.fd+\")\");var stderr=FS.open(\"/dev/stderr\",\"w\");assert(stderr.fd===2,\"invalid handle for stderr (\"+stderr.fd+\")\")}),ensureErrnoError:(function(){if(FS.ErrnoError)return;FS.ErrnoError=function ErrnoError(errno,node){this.node=node;this.setErrno=(function(errno){this.errno=errno;for(var key in ERRNO_CODES){if(ERRNO_CODES[key]===errno){this.code=key;break}}});this.setErrno(errno);this.message=ERRNO_MESSAGES[errno];if(this.stack)Object.defineProperty(this,\"stack\",{value:(new Error).stack,writable:true})};FS.ErrnoError.prototype=new Error;FS.ErrnoError.prototype.constructor=FS.ErrnoError;[ERRNO_CODES.ENOENT].forEach((function(code){FS.genericErrors[code]=new FS.ErrnoError(code);FS.genericErrors[code].stack=\"<generic error, no stack>\"}))}),staticInit:(function(){FS.ensureErrnoError();FS.nameTable=new Array(4096);FS.mount(MEMFS,{},\"/\");FS.createDefaultDirectories();FS.createDefaultDevices();FS.createSpecialDirectories();FS.filesystems={\"MEMFS\":MEMFS,\"IDBFS\":IDBFS,\"NODEFS\":NODEFS,\"WORKERFS\":WORKERFS}}),init:(function(input,output,error){assert(!FS.init.initialized,\"FS.init was previously called. If you want to initialize later with custom parameters, remove any earlier calls (note that one is automatically added to the generated code)\");FS.init.initialized=true;FS.ensureErrnoError();Module[\"stdin\"]=input||Module[\"stdin\"];Module[\"stdout\"]=output||Module[\"stdout\"];Module[\"stderr\"]=error||Module[\"stderr\"];FS.createStandardStreams()}),quit:(function(){FS.init.initialized=false;var fflush=Module[\"_fflush\"];if(fflush)fflush(0);for(var i=0;i<FS.streams.length;i++){var stream=FS.streams[i];if(!stream){continue}FS.close(stream)}}),getMode:(function(canRead,canWrite){var mode=0;if(canRead)mode|=292|73;if(canWrite)mode|=146;return mode}),joinPath:(function(parts,forceRelative){var path=PATH.join.apply(null,parts);if(forceRelative&&path[0]==\"/\")path=path.substr(1);return path}),absolutePath:(function(relative,base){return PATH.resolve(base,relative)}),standardizePath:(function(path){return PATH.normalize(path)}),findObject:(function(path,dontResolveLastLink){var ret=FS.analyzePath(path,dontResolveLastLink);if(ret.exists){return ret.object}else{___setErrNo(ret.error);return null}}),analyzePath:(function(path,dontResolveLastLink){try{var lookup=FS.lookupPath(path,{follow:!dontResolveLastLink});path=lookup.path}catch(e){}var ret={isRoot:false,exists:false,error:0,name:null,path:null,object:null,parentExists:false,parentPath:null,parentObject:null};try{var lookup=FS.lookupPath(path,{parent:true});ret.parentExists=true;ret.parentPath=lookup.path;ret.parentObject=lookup.node;ret.name=PATH.basename(path);lookup=FS.lookupPath(path,{follow:!dontResolveLastLink});ret.exists=true;ret.path=lookup.path;ret.object=lookup.node;ret.name=lookup.node.name;ret.isRoot=lookup.path===\"/\"}catch(e){ret.error=e.errno}return ret}),createFolder:(function(parent,name,canRead,canWrite){var path=PATH.join2(typeof parent===\"string\"?parent:FS.getPath(parent),name);var mode=FS.getMode(canRead,canWrite);return FS.mkdir(path,mode)}),createPath:(function(parent,path,canRead,canWrite){parent=typeof parent===\"string\"?parent:FS.getPath(parent);var parts=path.split(\"/\").reverse();while(parts.length){var part=parts.pop();if(!part)continue;var current=PATH.join2(parent,part);try{FS.mkdir(current)}catch(e){}parent=current}return current}),createFile:(function(parent,name,properties,canRead,canWrite){var path=PATH.join2(typeof parent===\"string\"?parent:FS.getPath(parent),name);var mode=FS.getMode(canRead,canWrite);return FS.create(path,mode)}),createDataFile:(function(parent,name,data,canRead,canWrite,canOwn){var path=name?PATH.join2(typeof parent===\"string\"?parent:FS.getPath(parent),name):parent;var mode=FS.getMode(canRead,canWrite);var node=FS.create(path,mode);if(data){if(typeof data===\"string\"){var arr=new Array(data.length);for(var i=0,len=data.length;i<len;++i)arr[i]=data.charCodeAt(i);data=arr}FS.chmod(node,mode|146);var stream=FS.open(node,\"w\");FS.write(stream,data,0,data.length,0,canOwn);FS.close(stream);FS.chmod(node,mode)}return node}),createDevice:(function(parent,name,input,output){var path=PATH.join2(typeof parent===\"string\"?parent:FS.getPath(parent),name);var mode=FS.getMode(!!input,!!output);if(!FS.createDevice.major)FS.createDevice.major=64;var dev=FS.makedev(FS.createDevice.major++,0);FS.registerDevice(dev,{open:(function(stream){stream.seekable=false}),close:(function(stream){if(output&&output.buffer&&output.buffer.length){output(10)}}),read:(function(stream,buffer,offset,length,pos){var bytesRead=0;for(var i=0;i<length;i++){var result;try{result=input()}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EIO)}if(result===undefined&&bytesRead===0){throw new FS.ErrnoError(ERRNO_CODES.EAGAIN)}if(result===null||result===undefined)break;bytesRead++;buffer[offset+i]=result}if(bytesRead){stream.node.timestamp=Date.now()}return bytesRead}),write:(function(stream,buffer,offset,length,pos){for(var i=0;i<length;i++){try{output(buffer[offset+i])}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EIO)}}if(length){stream.node.timestamp=Date.now()}return i})});return FS.mkdev(path,mode,dev)}),createLink:(function(parent,name,target,canRead,canWrite){var path=PATH.join2(typeof parent===\"string\"?parent:FS.getPath(parent),name);return FS.symlink(target,path)}),forceLoadFile:(function(obj){if(obj.isDevice||obj.isFolder||obj.link||obj.contents)return true;var success=true;if(typeof XMLHttpRequest!==\"undefined\"){throw new Error(\"Lazy loading should have been performed (contents set) in createLazyFile, but it was not. Lazy loading only works in web workers. Use --embed-file or --preload-file in emcc on the main thread.\")}else if(Module[\"read\"]){try{obj.contents=intArrayFromString(Module[\"read\"](obj.url),true);obj.usedBytes=obj.contents.length}catch(e){success=false}}else{throw new Error(\"Cannot load without read() or XMLHttpRequest.\")}if(!success)___setErrNo(ERRNO_CODES.EIO);return success}),createLazyFile:(function(parent,name,url,canRead,canWrite){function LazyUint8Array(){this.lengthKnown=false;this.chunks=[]}LazyUint8Array.prototype.get=function LazyUint8Array_get(idx){if(idx>this.length-1||idx<0){return undefined}var chunkOffset=idx%this.chunkSize;var chunkNum=idx/this.chunkSize|0;return this.getter(chunkNum)[chunkOffset]};LazyUint8Array.prototype.setDataGetter=function LazyUint8Array_setDataGetter(getter){this.getter=getter};LazyUint8Array.prototype.cacheLength=function LazyUint8Array_cacheLength(){var xhr=new XMLHttpRequest;xhr.open(\"HEAD\",url,false);xhr.send(null);if(!(xhr.status>=200&&xhr.status<300||xhr.status===304))throw new Error(\"Couldn't load \"+url+\". Status: \"+xhr.status);var datalength=Number(xhr.getResponseHeader(\"Content-length\"));var header;var hasByteServing=(header=xhr.getResponseHeader(\"Accept-Ranges\"))&&header===\"bytes\";var usesGzip=(header=xhr.getResponseHeader(\"Content-Encoding\"))&&header===\"gzip\";var chunkSize=1024*1024;if(!hasByteServing)chunkSize=datalength;var doXHR=(function(from,to){if(from>to)throw new Error(\"invalid range (\"+from+\", \"+to+\") or no bytes requested!\");if(to>datalength-1)throw new Error(\"only \"+datalength+\" bytes available! programmer error!\");var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);if(datalength!==chunkSize)xhr.setRequestHeader(\"Range\",\"bytes=\"+from+\"-\"+to);if(typeof Uint8Array!=\"undefined\")xhr.responseType=\"arraybuffer\";if(xhr.overrideMimeType){xhr.overrideMimeType(\"text/plain; charset=x-user-defined\")}xhr.send(null);if(!(xhr.status>=200&&xhr.status<300||xhr.status===304))throw new Error(\"Couldn't load \"+url+\". Status: \"+xhr.status);if(xhr.response!==undefined){return new Uint8Array(xhr.response||[])}else{return intArrayFromString(xhr.responseText||\"\",true)}});var lazyArray=this;lazyArray.setDataGetter((function(chunkNum){var start=chunkNum*chunkSize;var end=(chunkNum+1)*chunkSize-1;end=Math.min(end,datalength-1);if(typeof lazyArray.chunks[chunkNum]===\"undefined\"){lazyArray.chunks[chunkNum]=doXHR(start,end)}if(typeof lazyArray.chunks[chunkNum]===\"undefined\")throw new Error(\"doXHR failed!\");return lazyArray.chunks[chunkNum]}));if(usesGzip||!datalength){chunkSize=datalength=1;datalength=this.getter(0).length;chunkSize=datalength;console.log(\"LazyFiles on gzip forces download of the whole file when length is accessed\")}this._length=datalength;this._chunkSize=chunkSize;this.lengthKnown=true};if(typeof XMLHttpRequest!==\"undefined\"){if(!ENVIRONMENT_IS_WORKER)throw\"Cannot do synchronous binary XHRs outside webworkers in modern browsers. Use --embed-file or --preload-file in emcc\";var lazyArray=new LazyUint8Array;Object.defineProperties(lazyArray,{length:{get:(function(){if(!this.lengthKnown){this.cacheLength()}return this._length})},chunkSize:{get:(function(){if(!this.lengthKnown){this.cacheLength()}return this._chunkSize})}});var properties={isDevice:false,contents:lazyArray}}else{var properties={isDevice:false,url:url}}var node=FS.createFile(parent,name,properties,canRead,canWrite);if(properties.contents){node.contents=properties.contents}else if(properties.url){node.contents=null;node.url=properties.url}Object.defineProperties(node,{usedBytes:{get:(function(){return this.contents.length})}});var stream_ops={};var keys=Object.keys(node.stream_ops);keys.forEach((function(key){var fn=node.stream_ops[key];stream_ops[key]=function forceLoadLazyFile(){if(!FS.forceLoadFile(node)){throw new FS.ErrnoError(ERRNO_CODES.EIO)}return fn.apply(null,arguments)}}));stream_ops.read=function stream_ops_read(stream,buffer,offset,length,position){if(!FS.forceLoadFile(node)){throw new FS.ErrnoError(ERRNO_CODES.EIO)}var contents=stream.node.contents;if(position>=contents.length)return 0;var size=Math.min(contents.length-position,length);assert(size>=0);if(contents.slice){for(var i=0;i<size;i++){buffer[offset+i]=contents[position+i]}}else{for(var i=0;i<size;i++){buffer[offset+i]=contents.get(position+i)}}return size};node.stream_ops=stream_ops;return node}),createPreloadedFile:(function(parent,name,url,canRead,canWrite,onload,onerror,dontCreateFile,canOwn,preFinish){Browser.init();var fullname=name?PATH.resolve(PATH.join2(parent,name)):parent;var dep=getUniqueRunDependency(\"cp \"+fullname);function processData(byteArray){function finish(byteArray){if(preFinish)preFinish();if(!dontCreateFile){FS.createDataFile(parent,name,byteArray,canRead,canWrite,canOwn)}if(onload)onload();removeRunDependency(dep)}var handled=false;Module[\"preloadPlugins\"].forEach((function(plugin){if(handled)return;if(plugin[\"canHandle\"](fullname)){plugin[\"handle\"](byteArray,fullname,finish,(function(){if(onerror)onerror();removeRunDependency(dep)}));handled=true}}));if(!handled)finish(byteArray)}addRunDependency(dep);if(typeof url==\"string\"){Browser.asyncLoad(url,(function(byteArray){processData(byteArray)}),onerror)}else{processData(url)}}),indexedDB:(function(){return window.indexedDB||window.mozIndexedDB||window.webkitIndexedDB||window.msIndexedDB}),DB_NAME:(function(){return\"EM_FS_\"+window.location.pathname}),DB_VERSION:20,DB_STORE_NAME:\"FILE_DATA\",saveFilesToDB:(function(paths,onload,onerror){onload=onload||(function(){});onerror=onerror||(function(){});var indexedDB=FS.indexedDB();try{var openRequest=indexedDB.open(FS.DB_NAME(),FS.DB_VERSION)}catch(e){return onerror(e)}openRequest.onupgradeneeded=function openRequest_onupgradeneeded(){console.log(\"creating db\");var db=openRequest.result;db.createObjectStore(FS.DB_STORE_NAME)};openRequest.onsuccess=function openRequest_onsuccess(){var db=openRequest.result;var transaction=db.transaction([FS.DB_STORE_NAME],\"readwrite\");var files=transaction.objectStore(FS.DB_STORE_NAME);var ok=0,fail=0,total=paths.length;function finish(){if(fail==0)onload();else onerror()}paths.forEach((function(path){var putRequest=files.put(FS.analyzePath(path).object.contents,path);putRequest.onsuccess=function putRequest_onsuccess(){ok++;if(ok+fail==total)finish()};putRequest.onerror=function putRequest_onerror(){fail++;if(ok+fail==total)finish()}}));transaction.onerror=onerror};openRequest.onerror=onerror}),loadFilesFromDB:(function(paths,onload,onerror){onload=onload||(function(){});onerror=onerror||(function(){});var indexedDB=FS.indexedDB();try{var openRequest=indexedDB.open(FS.DB_NAME(),FS.DB_VERSION)}catch(e){return onerror(e)}openRequest.onupgradeneeded=onerror;openRequest.onsuccess=function openRequest_onsuccess(){var db=openRequest.result;try{var transaction=db.transaction([FS.DB_STORE_NAME],\"readonly\")}catch(e){onerror(e);return}var files=transaction.objectStore(FS.DB_STORE_NAME);var ok=0,fail=0,total=paths.length;function finish(){if(fail==0)onload();else onerror()}paths.forEach((function(path){var getRequest=files.get(path);getRequest.onsuccess=function getRequest_onsuccess(){if(FS.analyzePath(path).exists){FS.unlink(path)}FS.createDataFile(PATH.dirname(path),PATH.basename(path),getRequest.result,true,true,true);ok++;if(ok+fail==total)finish()};getRequest.onerror=function getRequest_onerror(){fail++;if(ok+fail==total)finish()}}));transaction.onerror=onerror};openRequest.onerror=onerror})};var SYSCALLS={DEFAULT_POLLMASK:5,mappings:{},umask:511,calculateAt:(function(dirfd,path){if(path[0]!==\"/\"){var dir;if(dirfd===-100){dir=FS.cwd()}else{var dirstream=FS.getStream(dirfd);if(!dirstream)throw new FS.ErrnoError(ERRNO_CODES.EBADF);dir=dirstream.path}path=PATH.join2(dir,path)}return path}),doStat:(function(func,path,buf){try{var stat=func(path)}catch(e){if(e&&e.node&&PATH.normalize(path)!==PATH.normalize(FS.getPath(e.node))){return-ERRNO_CODES.ENOTDIR}throw e}HEAP32[buf>>2]=stat.dev;HEAP32[buf+4>>2]=0;HEAP32[buf+8>>2]=stat.ino;HEAP32[buf+12>>2]=stat.mode;HEAP32[buf+16>>2]=stat.nlink;HEAP32[buf+20>>2]=stat.uid;HEAP32[buf+24>>2]=stat.gid;HEAP32[buf+28>>2]=stat.rdev;HEAP32[buf+32>>2]=0;HEAP32[buf+36>>2]=stat.size;HEAP32[buf+40>>2]=4096;HEAP32[buf+44>>2]=stat.blocks;HEAP32[buf+48>>2]=stat.atime.getTime()/1e3|0;HEAP32[buf+52>>2]=0;HEAP32[buf+56>>2]=stat.mtime.getTime()/1e3|0;HEAP32[buf+60>>2]=0;HEAP32[buf+64>>2]=stat.ctime.getTime()/1e3|0;HEAP32[buf+68>>2]=0;HEAP32[buf+72>>2]=stat.ino;return 0}),doMsync:(function(addr,stream,len,flags){var buffer=new Uint8Array(HEAPU8.subarray(addr,addr+len));FS.msync(stream,buffer,0,len,flags)}),doMkdir:(function(path,mode){path=PATH.normalize(path);if(path[path.length-1]===\"/\")path=path.substr(0,path.length-1);FS.mkdir(path,mode,0);return 0}),doMknod:(function(path,mode,dev){switch(mode&61440){case 32768:case 8192:case 24576:case 4096:case 49152:break;default:return-ERRNO_CODES.EINVAL}FS.mknod(path,mode,dev);return 0}),doReadlink:(function(path,buf,bufsize){if(bufsize<=0)return-ERRNO_CODES.EINVAL;var ret=FS.readlink(path);var len=Math.min(bufsize,lengthBytesUTF8(ret));var endChar=HEAP8[buf+len];stringToUTF8(ret,buf,bufsize+1);HEAP8[buf+len]=endChar;return len}),doAccess:(function(path,amode){if(amode&~7){return-ERRNO_CODES.EINVAL}var node;var lookup=FS.lookupPath(path,{follow:true});node=lookup.node;var perms=\"\";if(amode&4)perms+=\"r\";if(amode&2)perms+=\"w\";if(amode&1)perms+=\"x\";if(perms&&FS.nodePermissions(node,perms)){return-ERRNO_CODES.EACCES}return 0}),doDup:(function(path,flags,suggestFD){var suggest=FS.getStream(suggestFD);if(suggest)FS.close(suggest);return FS.open(path,flags,0,suggestFD,suggestFD).fd}),doReadv:(function(stream,iov,iovcnt,offset){var ret=0;for(var i=0;i<iovcnt;i++){var ptr=HEAP32[iov+i*8>>2];var len=HEAP32[iov+(i*8+4)>>2];var curr=FS.read(stream,HEAP8,ptr,len,offset);if(curr<0)return-1;ret+=curr;if(curr<len)break}return ret}),doWritev:(function(stream,iov,iovcnt,offset){var ret=0;for(var i=0;i<iovcnt;i++){var ptr=HEAP32[iov+i*8>>2];var len=HEAP32[iov+(i*8+4)>>2];var curr=FS.write(stream,HEAP8,ptr,len,offset);if(curr<0)return-1;ret+=curr}return ret}),varargs:0,get:(function(varargs){SYSCALLS.varargs+=4;var ret=HEAP32[SYSCALLS.varargs-4>>2];return ret}),getStr:(function(){var ret=Pointer_stringify(SYSCALLS.get());return ret}),getStreamFromFD:(function(){var stream=FS.getStream(SYSCALLS.get());if(!stream)throw new FS.ErrnoError(ERRNO_CODES.EBADF);return stream}),getSocketFromFD:(function(){var socket=SOCKFS.getSocket(SYSCALLS.get());if(!socket)throw new FS.ErrnoError(ERRNO_CODES.EBADF);return socket}),getSocketAddress:(function(allowNull){var addrp=SYSCALLS.get(),addrlen=SYSCALLS.get();if(allowNull&&addrp===0)return null;var info=__read_sockaddr(addrp,addrlen);if(info.errno)throw new FS.ErrnoError(info.errno);info.addr=DNS.lookup_addr(info.addr)||info.addr;return info}),get64:(function(){var low=SYSCALLS.get(),high=SYSCALLS.get();if(low>=0)assert(high===0);else assert(high===-1);return low}),getZero:(function(){assert(SYSCALLS.get()===0)})};function ___syscall10(which,varargs){SYSCALLS.varargs=varargs;try{var path=SYSCALLS.getStr();FS.unlink(path);return 0}catch(e){if(typeof FS===\"undefined\"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall140(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),offset_high=SYSCALLS.get(),offset_low=SYSCALLS.get(),result=SYSCALLS.get(),whence=SYSCALLS.get();var offset=offset_low;FS.llseek(stream,offset,whence);HEAP32[result>>2]=stream.position;if(stream.getdents&&offset===0&&whence===0)stream.getdents=null;return 0}catch(e){if(typeof FS===\"undefined\"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall145(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),iov=SYSCALLS.get(),iovcnt=SYSCALLS.get();return SYSCALLS.doReadv(stream,iov,iovcnt)}catch(e){if(typeof FS===\"undefined\"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall146(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),iov=SYSCALLS.get(),iovcnt=SYSCALLS.get();return SYSCALLS.doWritev(stream,iov,iovcnt)}catch(e){if(typeof FS===\"undefined\"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall192(which,varargs){SYSCALLS.varargs=varargs;try{var addr=SYSCALLS.get(),len=SYSCALLS.get(),prot=SYSCALLS.get(),flags=SYSCALLS.get(),fd=SYSCALLS.get(),off=SYSCALLS.get();off<<=12;var ptr;var allocated=false;if(fd===-1){ptr=_memalign(PAGE_SIZE,len);if(!ptr)return-ERRNO_CODES.ENOMEM;_memset(ptr,0,len);allocated=true}else{var info=FS.getStream(fd);if(!info)return-ERRNO_CODES.EBADF;var res=FS.mmap(info,HEAPU8,addr,len,off,prot,flags);ptr=res.ptr;allocated=res.allocated}SYSCALLS.mappings[ptr]={malloc:ptr,len:len,allocated:allocated,fd:fd,flags:flags};return ptr}catch(e){if(typeof FS===\"undefined\"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall195(which,varargs){SYSCALLS.varargs=varargs;try{var path=SYSCALLS.getStr(),buf=SYSCALLS.get();return SYSCALLS.doStat(FS.stat,path,buf)}catch(e){if(typeof FS===\"undefined\"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall197(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),buf=SYSCALLS.get();return SYSCALLS.doStat(FS.stat,stream.path,buf)}catch(e){if(typeof FS===\"undefined\"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall221(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),cmd=SYSCALLS.get();switch(cmd){case 0:{var arg=SYSCALLS.get();if(arg<0){return-ERRNO_CODES.EINVAL}var newStream;newStream=FS.open(stream.path,stream.flags,0,arg);return newStream.fd};case 1:case 2:return 0;case 3:return stream.flags;case 4:{var arg=SYSCALLS.get();stream.flags|=arg;return 0};case 12:case 12:{var arg=SYSCALLS.get();var offset=0;HEAP16[arg+offset>>1]=2;return 0};case 13:case 14:case 13:case 14:return 0;case 16:case 8:return-ERRNO_CODES.EINVAL;case 9:___setErrNo(ERRNO_CODES.EINVAL);return-1;default:{return-ERRNO_CODES.EINVAL}}}catch(e){if(typeof FS===\"undefined\"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall33(which,varargs){SYSCALLS.varargs=varargs;try{var path=SYSCALLS.getStr(),amode=SYSCALLS.get();return SYSCALLS.doAccess(path,amode)}catch(e){if(typeof FS===\"undefined\"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall5(which,varargs){SYSCALLS.varargs=varargs;try{var pathname=SYSCALLS.getStr(),flags=SYSCALLS.get(),mode=SYSCALLS.get();var stream=FS.open(pathname,flags,mode);return stream.fd}catch(e){if(typeof FS===\"undefined\"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall54(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),op=SYSCALLS.get();switch(op){case 21509:case 21505:{if(!stream.tty)return-ERRNO_CODES.ENOTTY;return 0};case 21510:case 21511:case 21512:case 21506:case 21507:case 21508:{if(!stream.tty)return-ERRNO_CODES.ENOTTY;return 0};case 21519:{if(!stream.tty)return-ERRNO_CODES.ENOTTY;var argp=SYSCALLS.get();HEAP32[argp>>2]=0;return 0};case 21520:{if(!stream.tty)return-ERRNO_CODES.ENOTTY;return-ERRNO_CODES.EINVAL};case 21531:{var argp=SYSCALLS.get();return FS.ioctl(stream,op,argp)};case 21523:{if(!stream.tty)return-ERRNO_CODES.ENOTTY;return 0};default:abort(\"bad ioctl syscall \"+op)}}catch(e){if(typeof FS===\"undefined\"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall6(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD();FS.close(stream);return 0}catch(e){if(typeof FS===\"undefined\"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall91(which,varargs){SYSCALLS.varargs=varargs;try{var addr=SYSCALLS.get(),len=SYSCALLS.get();var info=SYSCALLS.mappings[addr];if(!info)return 0;if(len===info.len){var stream=FS.getStream(info.fd);SYSCALLS.doMsync(addr,stream,len,info.flags);FS.munmap(stream);SYSCALLS.mappings[addr]=null;if(info.allocated){_free(info.malloc)}}return 0}catch(e){if(typeof FS===\"undefined\"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}var cttz_i8=allocate([8,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,6,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,7,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,6,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0],\"i8\",ALLOC_STATIC);function ___unlock(){}function __exit(status){Module[\"exit\"](status)}function _exit(status){__exit(status)}var _environ=STATICTOP;STATICTOP+=16;function ___buildEnvironment(env){var MAX_ENV_VALUES=64;var TOTAL_ENV_SIZE=1024;var poolPtr;var envPtr;if(!___buildEnvironment.called){___buildEnvironment.called=true;ENV[\"USER\"]=ENV[\"LOGNAME\"]=\"web_user\";ENV[\"PATH\"]=\"/\";ENV[\"PWD\"]=\"/\";ENV[\"HOME\"]=\"/home/web_user\";ENV[\"LANG\"]=\"C.UTF-8\";ENV[\"_\"]=Module[\"thisProgram\"];poolPtr=staticAlloc(TOTAL_ENV_SIZE);envPtr=staticAlloc(MAX_ENV_VALUES*4);HEAP32[envPtr>>2]=poolPtr;HEAP32[_environ>>2]=envPtr}else{envPtr=HEAP32[_environ>>2];poolPtr=HEAP32[envPtr>>2]}var strings=[];var totalSize=0;for(var key in env){if(typeof env[key]===\"string\"){var line=key+\"=\"+env[key];strings.push(line);totalSize+=line.length}}if(totalSize>TOTAL_ENV_SIZE){throw new Error(\"Environment size exceeded TOTAL_ENV_SIZE!\")}var ptrSize=4;for(var i=0;i<strings.length;i++){var line=strings[i];writeAsciiToMemory(line,poolPtr);HEAP32[envPtr+i*ptrSize>>2]=poolPtr;poolPtr+=line.length+1}HEAP32[envPtr+strings.length*ptrSize>>2]=0}var ENV={};function _getenv(name){if(name===0)return 0;name=Pointer_stringify(name);if(!ENV.hasOwnProperty(name))return 0;if(_getenv.ret)_free(_getenv.ret);_getenv.ret=allocateUTF8(ENV[name]);return _getenv.ret}var _llvm_ceil_f64=Math_ceil;var _llvm_fabs_f64=Math_abs;var _llvm_floor_f64=Math_floor;var _llvm_pow_f64=Math_pow;var _llvm_sqrt_f64=Math_sqrt;function _llvm_trap(){abort(\"trap!\")}function _longjmp(env,value){Module[\"setThrew\"](env,value||1);throw\"longjmp\"}function _emscripten_memcpy_big(dest,src,num){HEAPU8.set(HEAPU8.subarray(src,src+num),dest);return dest}function _setenv(envname,envval,overwrite){if(envname===0){___setErrNo(ERRNO_CODES.EINVAL);return-1}var name=Pointer_stringify(envname);var val=Pointer_stringify(envval);if(name===\"\"||name.indexOf(\"=\")!==-1){___setErrNo(ERRNO_CODES.EINVAL);return-1}if(ENV.hasOwnProperty(name)&&!overwrite)return 0;ENV[name]=val;___buildEnvironment(ENV);return 0}function _times(buffer){if(buffer!==0){_memset(buffer,0,16)}return 0}if(ENVIRONMENT_IS_NODE){_emscripten_get_now=function _emscripten_get_now_actual(){var t=process[\"hrtime\"]();return t[0]*1e3+t[1]/1e6}}else if(typeof dateNow!==\"undefined\"){_emscripten_get_now=dateNow}else if(typeof self===\"object\"&&self[\"performance\"]&&typeof self[\"performance\"][\"now\"]===\"function\"){_emscripten_get_now=(function(){return self[\"performance\"][\"now\"]()})}else if(typeof performance===\"object\"&&typeof performance[\"now\"]===\"function\"){_emscripten_get_now=(function(){return performance[\"now\"]()})}else{_emscripten_get_now=Date.now}FS.staticInit();__ATINIT__.unshift((function(){if(!Module[\"noFSInit\"]&&!FS.init.initialized)FS.init()}));__ATMAIN__.push((function(){FS.ignorePermissions=false}));__ATEXIT__.push((function(){FS.quit()}));__ATINIT__.unshift((function(){TTY.init()}));__ATEXIT__.push((function(){TTY.shutdown()}));if(ENVIRONMENT_IS_NODE){var fs=require(\"fs\");var NODEJS_PATH=require(\"path\");NODEFS.staticInit()}___buildEnvironment(ENV);DYNAMICTOP_PTR=staticAlloc(4);STACK_BASE=STACKTOP=alignMemory(STATICTOP);STACK_MAX=STACK_BASE+TOTAL_STACK;DYNAMIC_BASE=alignMemory(STACK_MAX);HEAP32[DYNAMICTOP_PTR>>2]=DYNAMIC_BASE;staticSealed=true;var ASSERTIONS=false;function intArrayFromString(stringy,dontAddNull,length){var len=length>0?length:lengthBytesUTF8(stringy)+1;var u8array=new Array(len);var numBytesWritten=stringToUTF8Array(stringy,u8array,0,u8array.length);if(dontAddNull)u8array.length=numBytesWritten;return u8array}function intArrayToString(array){var ret=[];for(var i=0;i<array.length;i++){var chr=array[i];if(chr>255){if(ASSERTIONS){assert(false,\"Character code \"+chr+\" (\"+String.fromCharCode(chr)+\")  at offset \"+i+\" not in 0x00-0xFF.\")}chr&=255}ret.push(String.fromCharCode(chr))}return ret.join(\"\")}var decodeBase64=typeof atob===\"function\"?atob:(function(input){var keyStr=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=\";var output=\"\";var chr1,chr2,chr3;var enc1,enc2,enc3,enc4;var i=0;input=input.replace(/[^A-Za-z0-9\\+\\/\\=]/g,\"\");do{enc1=keyStr.indexOf(input.charAt(i++));enc2=keyStr.indexOf(input.charAt(i++));enc3=keyStr.indexOf(input.charAt(i++));enc4=keyStr.indexOf(input.charAt(i++));chr1=enc1<<2|enc2>>4;chr2=(enc2&15)<<4|enc3>>2;chr3=(enc3&3)<<6|enc4;output=output+String.fromCharCode(chr1);if(enc3!==64){output=output+String.fromCharCode(chr2)}if(enc4!==64){output=output+String.fromCharCode(chr3)}}while(i<input.length);return output});function intArrayFromBase64(s){if(typeof ENVIRONMENT_IS_NODE===\"boolean\"&&ENVIRONMENT_IS_NODE){var buf;try{buf=Buffer.from(s,\"base64\")}catch(_){buf=new Buffer(s,\"base64\")}return new Uint8Array(buf.buffer,buf.byteOffset,buf.byteLength)}try{var decoded=decodeBase64(s);var bytes=new Uint8Array(decoded.length);for(var i=0;i<decoded.length;++i){bytes[i]=decoded.charCodeAt(i)}return bytes}catch(_){throw new Error(\"Converting base64 string to bytes failed.\")}}function tryParseAsDataURI(filename){if(!isDataURI(filename)){return}return intArrayFromBase64(filename.slice(dataURIPrefix.length))}function invoke_d(index){try{return Module[\"dynCall_d\"](index)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}function invoke_dddd(index,a1,a2,a3){try{return Module[\"dynCall_dddd\"](index,a1,a2,a3)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}function invoke_i(index){try{return Module[\"dynCall_i\"](index)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}function invoke_ii(index,a1){try{return Module[\"dynCall_ii\"](index,a1)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}function invoke_iii(index,a1,a2){try{return Module[\"dynCall_iii\"](index,a1,a2)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}function invoke_iiii(index,a1,a2,a3){try{return Module[\"dynCall_iiii\"](index,a1,a2,a3)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}function invoke_iiiii(index,a1,a2,a3,a4){try{return Module[\"dynCall_iiiii\"](index,a1,a2,a3,a4)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}function invoke_iiiiii(index,a1,a2,a3,a4,a5){try{return Module[\"dynCall_iiiiii\"](index,a1,a2,a3,a4,a5)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}function invoke_iiiiiii(index,a1,a2,a3,a4,a5,a6){try{return Module[\"dynCall_iiiiiii\"](index,a1,a2,a3,a4,a5,a6)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}function invoke_v(index){try{Module[\"dynCall_v\"](index)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}function invoke_vi(index,a1){try{Module[\"dynCall_vi\"](index,a1)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}function invoke_vii(index,a1,a2){try{Module[\"dynCall_vii\"](index,a1,a2)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}function invoke_viii(index,a1,a2,a3){try{Module[\"dynCall_viii\"](index,a1,a2,a3)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}function invoke_viiiddi(index,a1,a2,a3,a4,a5,a6){try{Module[\"dynCall_viiiddi\"](index,a1,a2,a3,a4,a5,a6)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}function invoke_viiii(index,a1,a2,a3,a4){try{Module[\"dynCall_viiii\"](index,a1,a2,a3,a4)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}function invoke_viiiii(index,a1,a2,a3,a4,a5){try{Module[\"dynCall_viiiii\"](index,a1,a2,a3,a4,a5)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}function invoke_viiiiii(index,a1,a2,a3,a4,a5,a6){try{Module[\"dynCall_viiiiii\"](index,a1,a2,a3,a4,a5,a6)}catch(e){if(typeof e!==\"number\"&&e!==\"longjmp\")throw e;Module[\"setThrew\"](1,0)}}Module.asmGlobalArg={\"Math\":Math,\"Int8Array\":Int8Array,\"Int16Array\":Int16Array,\"Int32Array\":Int32Array,\"Uint8Array\":Uint8Array,\"Uint16Array\":Uint16Array,\"Uint32Array\":Uint32Array,\"Float32Array\":Float32Array,\"Float64Array\":Float64Array,\"NaN\":NaN,\"Infinity\":Infinity};Module.asmLibraryArg={\"abort\":abort,\"assert\":assert,\"enlargeMemory\":enlargeMemory,\"getTotalMemory\":getTotalMemory,\"abortOnCannotGrowMemory\":abortOnCannotGrowMemory,\"invoke_d\":invoke_d,\"invoke_dddd\":invoke_dddd,\"invoke_i\":invoke_i,\"invoke_ii\":invoke_ii,\"invoke_iii\":invoke_iii,\"invoke_iiii\":invoke_iiii,\"invoke_iiiii\":invoke_iiiii,\"invoke_iiiiii\":invoke_iiiiii,\"invoke_iiiiiii\":invoke_iiiiiii,\"invoke_v\":invoke_v,\"invoke_vi\":invoke_vi,\"invoke_vii\":invoke_vii,\"invoke_viii\":invoke_viii,\"invoke_viiiddi\":invoke_viiiddi,\"invoke_viiii\":invoke_viiii,\"invoke_viiiii\":invoke_viiiii,\"invoke_viiiiii\":invoke_viiiiii,\"___assert_fail\":___assert_fail,\"___buildEnvironment\":___buildEnvironment,\"___clock_gettime\":___clock_gettime,\"___lock\":___lock,\"___map_file\":___map_file,\"___setErrNo\":___setErrNo,\"___syscall10\":___syscall10,\"___syscall140\":___syscall140,\"___syscall145\":___syscall145,\"___syscall146\":___syscall146,\"___syscall192\":___syscall192,\"___syscall195\":___syscall195,\"___syscall197\":___syscall197,\"___syscall221\":___syscall221,\"___syscall33\":___syscall33,\"___syscall5\":___syscall5,\"___syscall54\":___syscall54,\"___syscall6\":___syscall6,\"___syscall91\":___syscall91,\"___unlock\":___unlock,\"__exit\":__exit,\"_clock_gettime\":_clock_gettime,\"_emscripten_asm_const_iii\":_emscripten_asm_const_iii,\"_emscripten_get_now\":_emscripten_get_now,\"_emscripten_get_now_is_monotonic\":_emscripten_get_now_is_monotonic,\"_emscripten_memcpy_big\":_emscripten_memcpy_big,\"_exit\":_exit,\"_getenv\":_getenv,\"_llvm_ceil_f64\":_llvm_ceil_f64,\"_llvm_fabs_f64\":_llvm_fabs_f64,\"_llvm_floor_f64\":_llvm_floor_f64,\"_llvm_pow_f64\":_llvm_pow_f64,\"_llvm_sqrt_f64\":_llvm_sqrt_f64,\"_llvm_trap\":_llvm_trap,\"_longjmp\":_longjmp,\"_setenv\":_setenv,\"_times\":_times,\"DYNAMICTOP_PTR\":DYNAMICTOP_PTR,\"tempDoublePtr\":tempDoublePtr,\"ABORT\":ABORT,\"STACKTOP\":STACKTOP,\"STACK_MAX\":STACK_MAX,\"cttz_i8\":cttz_i8};// EMSCRIPTEN_START_ASM\nvar asm=(/** @suppress {uselessCode} */ function(global,env,buffer) {\n\"use asm\";var a=new global.Int8Array(buffer);var b=new global.Int16Array(buffer);var c=new global.Int32Array(buffer);var d=new global.Uint8Array(buffer);var e=new global.Uint16Array(buffer);var f=new global.Uint32Array(buffer);var g=new global.Float32Array(buffer);var h=new global.Float64Array(buffer);var i=env.DYNAMICTOP_PTR|0;var j=env.tempDoublePtr|0;var k=env.ABORT|0;var l=env.STACKTOP|0;var m=env.STACK_MAX|0;var n=env.cttz_i8|0;var o=0;var p=0;var q=0;var r=0;var s=global.NaN,t=global.Infinity;var u=0,v=0,w=0,x=0,y=0.0;var z=0;var A=global.Math.floor;var B=global.Math.abs;var C=global.Math.sqrt;var D=global.Math.pow;var E=global.Math.cos;var F=global.Math.sin;var G=global.Math.tan;var H=global.Math.acos;var I=global.Math.asin;var J=global.Math.atan;var K=global.Math.atan2;var L=global.Math.exp;var M=global.Math.log;var N=global.Math.ceil;var O=global.Math.imul;var P=global.Math.min;var Q=global.Math.max;var R=global.Math.clz32;var S=env.abort;var T=env.assert;var U=env.enlargeMemory;var V=env.getTotalMemory;var W=env.abortOnCannotGrowMemory;var X=env.invoke_d;var Y=env.invoke_dddd;var Z=env.invoke_i;var _=env.invoke_ii;var $=env.invoke_iii;var aa=env.invoke_iiii;var ba=env.invoke_iiiii;var ca=env.invoke_iiiiii;var da=env.invoke_iiiiiii;var ea=env.invoke_v;var fa=env.invoke_vi;var ga=env.invoke_vii;var ha=env.invoke_viii;var ia=env.invoke_viiiddi;var ja=env.invoke_viiii;var ka=env.invoke_viiiii;var la=env.invoke_viiiiii;var ma=env.___assert_fail;var na=env.___buildEnvironment;var oa=env.___clock_gettime;var pa=env.___lock;var qa=env.___map_file;var ra=env.___setErrNo;var sa=env.___syscall10;var ta=env.___syscall140;var ua=env.___syscall145;var va=env.___syscall146;var wa=env.___syscall192;var xa=env.___syscall195;var ya=env.___syscall197;var za=env.___syscall221;var Aa=env.___syscall33;var Ba=env.___syscall5;var Ca=env.___syscall54;var Da=env.___syscall6;var Ea=env.___syscall91;var Fa=env.___unlock;var Ga=env.__exit;var Ha=env._clock_gettime;var Ia=env._emscripten_asm_const_iii;var Ja=env._emscripten_get_now;var Ka=env._emscripten_get_now_is_monotonic;var La=env._emscripten_memcpy_big;var Ma=env._exit;var Na=env._getenv;var Oa=env._llvm_ceil_f64;var Pa=env._llvm_fabs_f64;var Qa=env._llvm_floor_f64;var Ra=env._llvm_pow_f64;var Sa=env._llvm_sqrt_f64;var Ta=env._llvm_trap;var Ua=env._longjmp;var Va=env._setenv;var Wa=env._times;var Xa=0.0;\n// EMSCRIPTEN_START_FUNCS\nfunction nb(a){a=a|0;var b=0;b=l;l=l+a|0;l=l+15&-16;return b|0}function ob(){return l|0}function pb(a){a=a|0;l=a}function qb(a,b){a=a|0;b=b|0;l=a;m=b}function rb(a,b){a=a|0;b=b|0;if(!o){o=a;p=b}}function sb(a){a=a|0;z=a}function tb(){return z|0}function ub(a){a=a|0;c[41840]=a;return 0}function vb(){return c[41840]|0}function wb(a,b){a=a|0;b=b|0;Ia(0,a|0,b|0)|0;return}function xb(a){a=a|0;c[42183]=a;return}function yb(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;f=i+4|0;g=i;c[f>>2]=0;h=ks()|0;ps(h,10904);ps(h,17148);Zl(1)|0;Yl(16)|0;ep(1);while(1){a=Sn(a)|0;e=c[f>>2]|0;if(!a)break;if(!e){ls(h,a,d)|0;os(h,a,b,f,g)|0;hr(h,a)|0}ln(a)|0;a=174181}l=i;return e|0}function zb(a){a=a|0;var d=0,e=0,f=0,g=0;g=l;l=l+16|0;d=g+4|0;e=g;f=c[(c[a+16>>2]|0)+8>>2]|0;a=a+64|0;switch(c[a>>2]|0){case 0:{vx(f);break}case 1:{if(b[(c[f+16>>2]|0)+136>>1]&1)nB(f);break}case 4:case 5:case 6:{sx(f,e,d);Cb(f,c[e>>2]|0,c[d>>2]|0,c[a>>2]|0);break}default:{}}l=g;return}function Ab(a){a=a|0;var b=0,d=0,e=0,f=0;d=c[(c[a+16>>2]|0)+8>>2]|0;if(!(c[41841]|0)){c[41841]=c[4442];c[41842]=9;c[41843]=17}e=d+64|0;f=(c[e>>2]|0)+8|0;b=c[f>>2]|0;c[f>>2]=167364;switch(c[a+64>>2]|0){case 2:{ix(a,d,a,0);break}case 3:{ix(a,d,a,1);break}case 1:case 0:{if(!(c[a+152>>2]&134217728))_p(d,a)|0;break}case 6:case 5:case 4:{Bb(d);if(!(c[a+152>>2]&134217728))_p(d,a)|0;break}default:{}}c[(c[e>>2]|0)+8>>2]=b;return}function Bb(b){b=b|0;var d=0,e=0;d=c[41845]|0;if((d|0)!=(c[41844]|0)){e=c[c[41876]>>2]|0;if(!e){e=tB(b,0,84827,174181)|0;c[c[41876]>>2]=e;d=c[41845]|0}if(d>>>0>=(c[41846]|0)>>>0){dm(167376,1)|0;d=c[41845]|0}a[d>>0]=0;d=c[41844]|0;c[41845]=d;Cm(b,e,d)|0}if(c[(c[b+16>>2]|0)+12>>2]|0){e=c[(c[41876]|0)+4>>2]|0;d=c[41861]|0;if(d>>>0>=(c[41862]|0)>>>0){dm(167440,1)|0;d=c[41861]|0}a[d>>0]=0;d=c[41860]|0;c[41861]=d;Cm(b,e,d)|0}Lm(b,59577,c[(c[41876]|0)+8236>>2]|0,174181)|0;d=0;while(1){if((d|0)==8)break;gm(167376+(d<<4)|0);d=d+1|0}_I(c[41876]|0);h[1]=1.0;h[5]=1.0;c[41877]=0;c[41881]=0;return}function Cb(d,e,f,g){d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0;i=ZI(8240)|0;c[41876]=i;a:do switch(g|0){case 6:{b[i+8232>>1]=14;g=59593;break}case 5:{b[i+8232>>1]=12;g=59597;break}default:{g=Im(d,59577)|0;if((g|0?a[g>>0]|0:0)?(h=Db(g)|0,(h&65535)>10):0){i=c[41876]|0;b[i+8232>>1]=h;break a}g=Db(59589)|0;i=c[41876]|0;b[i+8232>>1]=g;g=59589}}while(0);c[i+8236>>2]=g;j=d+16|0;g=c[j>>2]|0;if(!(c[g+180>>2]|0))h=0;else{h=tB(d,0,84827,174181)|0;i=c[41876]|0;g=c[j>>2]|0}c[i>>2]=h;if(!(a[g+113>>0]&8))g=0;else g=tB(d,0,59601,174181)|0;c[(c[41876]|0)+4>>2]=g;i=tB(d,1,84827,174181)|0;c[(c[41876]|0)+8>>2]=i;i=tB(d,1,59601,174181)|0;c[(c[41876]|0)+12>>2]=i;i=tB(d,2,84827,174181)|0;g=c[41876]|0;c[g+16>>2]=i;if(!f)h=0;else{h=tB(d,2,59609,174181)|0;g=c[41876]|0}c[g+20>>2]=h;if(!e)h=0;else{h=tB(d,2,59617,174181)|0;g=c[41876]|0}c[g+24>>2]=h;h=a[(c[j>>2]|0)+113>>0]|0;if(!(h&33))i=0;else{i=tB(d,2,59601,174181)|0;g=c[41876]|0;h=a[(c[j>>2]|0)+113>>0]|0}c[g+28>>2]=i;if(!(h&2))i=0;else{i=tB(d,2,59625,174181)|0;g=c[41876]|0;h=a[(c[j>>2]|0)+113>>0]|0}c[g+32>>2]=i;if(!(h&4))h=0;else{h=tB(d,2,59634,174181)|0;g=c[41876]|0}c[g+36>>2]=h;g=0;while(1){if((g|0)==8)break;cm(167376+(g<<4)|0,1024,(c[41876]|0)+40+(g<<10)|0);g=g+1|0}return}function Db(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0;j=l;l=l+1040|0;h=j;g=j+8|0;f=0;d=b;a:while(1){do{e=d;d=d+1|0;e=a[e>>0]|0;if(!(e<<24>>24))break a}while(((e<<24>>24)+-48|0)>>>0>=10);if((f|0)>=1023){i=7;break}a[g+f>>0]=e;f=f+1|0}if((i|0)==7){c[h>>2]=b;_l(0,59643,h)|0}a[g+f>>0]=0;i=(rM(g)|0)&65535;l=j;return i|0}function Eb(b){b=b|0;var d=0,e=0;e=c[(c[b+16>>2]|0)+8>>2]|0;d=c[c[41876]>>2]|0;b=c[41849]|0;if(b>>>0>=(c[41850]|0)>>>0){dm(167392,1)|0;b=c[41849]|0}a[b>>0]=0;b=c[41848]|0;c[41849]=b;Cm(e,d,b)|0;if(c[(c[e+16>>2]|0)+12>>2]|0){d=c[(c[41876]|0)+4>>2]|0;b=c[41865]|0;if(b>>>0>=(c[41866]|0)>>>0){dm(167456,1)|0;b=c[41865]|0}a[b>>0]=0;b=c[41864]|0;c[41865]=b;Cm(e,d,b)|0}h[2]=1.0;h[6]=1.0;c[41878]=0;c[41882]=0;return}function Fb(b){b=b|0;var d=0,e=0;e=c[(c[b+16>>2]|0)+8>>2]|0;b=c[41849]|0;if((c[41848]|0)!=(b|0)){d=c[(c[41876]|0)+8>>2]|0;if(b>>>0>=(c[41850]|0)>>>0){dm(167392,1)|0;b=c[41849]|0}a[b>>0]=0;b=c[41848]|0;c[41849]=b;Cm(e,d,b)|0}b=c[41865]|0;if((c[41864]|0)!=(b|0)){d=c[(c[41876]|0)+12>>2]|0;if(b>>>0>=(c[41866]|0)>>>0){dm(167456,1)|0;b=c[41865]|0}a[b>>0]=0;b=c[41864]|0;c[41865]=b;Cm(e,d,b)|0}h[9]=1.0;h[11]=1.0;c[41885]=0;c[41887]=0;return}function Gb(b){b=b|0;var d=0,e=0;e=c[(c[b+16>>2]|0)+8>>2]|0;b=c[41849]|0;if((c[41848]|0)!=(b|0)){d=c[(c[41876]|0)+16>>2]|0;if(b>>>0>=(c[41850]|0)>>>0){dm(167392,1)|0;b=c[41849]|0}a[b>>0]=0;b=c[41848]|0;c[41849]=b;Cm(e,d,b)|0}b=c[41853]|0;if((c[41852]|0)!=(b|0)){d=c[(c[41876]|0)+24>>2]|0;if(b>>>0>=(c[41854]|0)>>>0){dm(167408,1)|0;b=c[41853]|0}a[b>>0]=0;b=c[41852]|0;c[41853]=b;Cm(e,d,b)|0}b=c[41857]|0;if((c[41856]|0)!=(b|0)){d=c[(c[41876]|0)+20>>2]|0;if(b>>>0>=(c[41858]|0)>>>0){dm(167424,1)|0;b=c[41857]|0}a[b>>0]=0;b=c[41856]|0;c[41857]=b;Cm(e,d,b)|0}b=c[41865]|0;if((c[41864]|0)!=(b|0)){d=c[(c[41876]|0)+28>>2]|0;if(b>>>0>=(c[41866]|0)>>>0){dm(167456,1)|0;b=c[41865]|0}a[b>>0]=0;b=c[41864]|0;c[41865]=b;Cm(e,d,b)|0}b=c[41869]|0;if((c[41868]|0)!=(b|0)){d=c[(c[41876]|0)+36>>2]|0;if(b>>>0>=(c[41870]|0)>>>0){dm(167472,1)|0;b=c[41869]|0}a[b>>0]=0;b=c[41868]|0;c[41869]=b;Cm(e,d,b)|0}b=c[41873]|0;if((c[41872]|0)!=(b|0)){d=c[(c[41876]|0)+32>>2]|0;if(b>>>0>=(c[41874]|0)>>>0){dm(167488,1)|0;b=c[41873]|0}a[b>>0]=0;b=c[41872]|0;c[41873]=b;Cm(e,d,b)|0}h[10]=1.0;h[12]=1.0;h[3]=1.0;h[4]=1.0;h[7]=1.0;h[8]=1.0;c[41886]=0;c[41888]=0;c[41879]=0;c[41880]=0;c[41883]=0;c[41884]=0;return}function Hb(d,e,f){d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;t=l;l=l+1056|0;j=t+16|0;s=t+8|0;r=t;k=t+32|0;o=c[(c[d+16>>2]|0)+12>>2]|0;p=c[11344+(o<<2)>>2]|0;fm(p,59746)|0;g=f+4|0;Qb(k,+h[(c[g>>2]|0)+16>>3]);fm(p,k)|0;Tb(d,174181,c[c[g>>2]>>2]|0);Nb(d);q=a[f+48>>0]|0;q=q<<24>>24==108?-1:q<<24>>24==114&1;g=c[g>>2]|0;if(!g)g=0;else g=c[g+24>>2]&127;i=b[(c[41876]|0)+8232>>1]|0;if((i&65535)>14?(m=c[11392+((i&65535)+-15<<2)>>2]&g,n=167508+(o<<2)|0,(c[n>>2]|0)!=(m|0)):0){c[r>>2]=m;pL(k,59749,r)|0;fm(p,k)|0;c[n>>2]=m}r=e+8|0;h[r>>3]=+h[r>>3]+ +h[f+24>>3];fm(p,59755)|0;c[j>>2]=c[e>>2];c[j+4>>2]=c[e+4>>2];c[j+8>>2]=c[e+8>>2];c[j+12>>2]=c[e+12>>2];Pb(p,j);c[s>>2]=q;pL(k,87254,s)|0;fm(p,k)|0;Qb(k,+h[f+32>>3]);fm(p,k)|0;Tb(d,174181,c[f>>2]|0);l=t;return}function Ib(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0;i=l;l=l+1040|0;f=i;g=i+16|0;e=c[(c[a+16>>2]|0)+12>>2]|0;Mb(a);Nb(a);if(!d){a=c[11344+(e<<2)>>2]|0;fm(a,59743)|0}else{if((d|1|0)==3)Vb(a,d,b,2);else Wb(a);a=c[11344+(e<<2)>>2]|0;fm(a,59740)|0};c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];Pb(a,f);Qb(g,+h[b+16>>3]-+h[b>>3]);fm(a,g)|0;Qb(g,+h[b+24>>3]-+h[b+8>>3]);fm(a,g)|0;l=i;return}function Jb(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;Mb(a);Nb(a);if(!d)Ob(a,112,b,c);else{if((d|1|0)==3)Vb(a,d,b,c);else Wb(a);Ob(a,80,b,c)}return}function Kb(a,b,c,d,e,f){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;Mb(a);Nb(a);if(!f)Ob(a,66,b,c);else{if((f|1|0)==3)Vb(a,f,b,c);else Wb(a);Ob(a,98,b,c)}return}function Lb(a,b,c){a=a|0;b=b|0;c=c|0;Mb(a);Nb(a);Ob(a,76,b,c);return}function Mb(b){b=b|0;var d=0,e=0,f=0,g=0.0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+1184|0;i=n;f=n+24|0;m=n+8|0;cm(m,1024,n+152|0);j=b+16|0;d=c[j>>2]|0;g=+h[d+152>>3];e=8+(c[d+12>>2]<<3)|0;if(g!=+h[e>>3]){h[e>>3]=g;fm(m,59706)|0;h[i>>3]=+h[(c[j>>2]|0)+152>>3];pL(f,59720,i)|0;Rb(f,0);fm(m,f)|0;f=m+4|0;d=c[f>>2]|0;e=m+8|0;if(d>>>0>=(c[e>>2]|0)>>>0){dm(m,1)|0;d=c[f>>2]|0}c[f>>2]=d+1;a[d>>0]=41;d=c[f>>2]|0;if(d>>>0>=(c[e>>2]|0)>>>0){dm(m,1)|0;d=c[f>>2]|0}a[d>>0]=0;d=c[m>>2]|0;c[f>>2]=d;Tb(b,59725,d);d=c[j>>2]|0}d=c[d+160>>2]|0;if(d|0){j=m+4|0;k=m+8|0;a:while(1){i=d+4|0;d=c[d>>2]|0;if(!d)break;switch(a[d>>0]|0){case 102:{if(!(xJ(d,95923)|0)){d=i;continue a}break}case 98:{if(!(xJ(d,95905)|0)){d=i;continue a}break}case 115:{if(!(xJ(d,95910)|0)){d=i;continue a}break}default:{}}fm(m,d)|0;do{f=d;d=d+1|0}while((a[f>>0]|0)!=0);if(a[d>>0]|0){e=c[j>>2]|0;if(e>>>0>=(c[k>>2]|0)>>>0){dm(m,1)|0;e=c[j>>2]|0}c[j>>2]=e+1;a[e>>0]=40;f=0;while(1){if(!(a[d>>0]|0))break;if(f|0){e=c[j>>2]|0;if(e>>>0>=(c[k>>2]|0)>>>0){dm(m,1)|0;e=c[j>>2]|0}c[j>>2]=e+1;a[e>>0]=44}fm(m,d)|0;do{e=d;d=d+1|0}while((a[e>>0]|0)!=0);f=f+1|0}d=c[j>>2]|0;if(d>>>0>=(c[k>>2]|0)>>>0){dm(m,1)|0;d=c[j>>2]|0}c[j>>2]=d+1;a[d>>0]=41}d=c[j>>2]|0;if(d>>>0>=(c[k>>2]|0)>>>0){dm(m,1)|0;d=c[j>>2]|0}a[d>>0]=0;d=c[m>>2]|0;c[j>>2]=d;Tb(b,59725,d);d=i}gm(m)}l=n;return}function Nb(a){a=a|0;Sb((c[a+16>>2]|0)+16|0);Tb(a,68667,173882);return}function Ob(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0;k=l;l=l+1040|0;j=k;i=k+16|0;h=c[11344+(c[(c[b+16>>2]|0)+12>>2]<<2)>>2]|0;g=h+4|0;b=c[g>>2]|0;if(b>>>0>=(c[h+8>>2]|0)>>>0){dm(h,1)|0;b=c[g>>2]|0}c[g>>2]=b+1;a[b>>0]=d;c[j>>2]=f;pL(i,59670,j)|0;fm(h,i)|0;b=0;while(1){if((b|0)>=(f|0))break;i=e+(b<<4)|0;c[j>>2]=c[i>>2];c[j+4>>2]=c[i+4>>2];c[j+8>>2]=c[i+8>>2];c[j+12>>2]=c[i+12>>2];Pb(h,j);b=b+1|0}l=k;return}function Pb(a,b){a=a|0;b=b|0;var c=0,d=0;c=l;l=l+1024|0;d=c;Qb(d,+h[b>>3]);fm(a,d)|0;Qb(d,+hx(+h[b+8>>3]));fm(a,d)|0;l=c;return}function Qb(a,b){a=a|0;b=+b;var c=0,d=0;c=l;l=l+16|0;d=c;h[d>>3]=b>-1.0e-08&b<1.0e-08?0.0:b;pL(a,59675,d)|0;Rb(a,1);l=c;return}function Rb(b,c){b=b|0;c=c|0;var d=0,e=0;d=WJ(b,46)|0;if(!d){if(c|0){d=b+(rJ(b)|0)|0;e=10}}else{while(1){b=d+1|0;if(!(a[b>>0]|0))break;else d=b}a:while(1){switch(a[d>>0]|0){case 46:{e=5;break a}case 48:break;default:{e=6;break a}}a[d>>0]=0;d=d+-1|0}if((e|0)==5)a[d>>0]=0;else if((e|0)==6)d=d+1|0;if(c|0)e=10}if((e|0)==10){a[d>>0]=32;a[d+1>>0]=0}return}function Sb(b){b=b|0;var e=0,f=0,g=0,h=0,i=0,j=0;j=l;l=l+32|0;i=j+16|0;h=j;e=a[b+3>>0]|0;f=d[b>>0]|0;g=d[b+1>>0]|0;b=d[b+2>>0]|0;if(e<<24>>24==-1){c[h>>2]=f;c[h+4>>2]=g;c[h+8>>2]=b;pL(173882,68547,h)|0}else{c[i>>2]=f;c[i+4>>2]=g;c[i+8>>2]=b;c[i+12>>2]=e&255;pL(173882,59688,i)|0}l=j;return}function Tb(a,b,d){a=a|0;b=b|0;d=d|0;Ub(c[11344+(c[(c[a+16>>2]|0)+12>>2]<<2)>>2]|0,b,d);return}function Ub(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;f=l;l=l+1040|0;h=f;g=f+8|0;i=rJ(e)|0;c[h>>2]=d;c[h+4>>2]=i;pL(g,59681,h)|0;fm(b,g)|0;fm(b,e)|0;e=b+4|0;d=c[e>>2]|0;if(d>>>0>=(c[b+8>>2]|0)>>>0){dm(b,1)|0;d=c[e>>2]|0}c[e>>2]=d+1;a[d>>0]=32;l=f;return}function Vb(b,d,f,i){b=b|0;d=d|0;f=f|0;i=i|0;var j=0.0,k=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0.0;x=l;l=l+1120|0;t=x+64|0;w=x+80|0;k=x+32|0;r=x+16|0;s=x;u=c[b+16>>2]|0;j=+(c[u+136>>2]|0)*.017453292519943295;if((e[(c[41876]|0)+8232>>1]|0)<14)Wb(b);else{cm(w,1024,x+96|0);v=(d|0)==2;if(v){JB(f,k,i,j,2);f=w+4|0;d=c[f>>2]|0;if(d>>>0>=(c[w+8>>2]|0)>>>0){dm(w,1)|0;d=c[f>>2]|0}c[f>>2]=d+1;a[d>>0]=91;c[t>>2]=c[k>>2];c[t+4>>2]=c[k+4>>2];c[t+8>>2]=c[k+8>>2];c[t+12>>2]=c[k+12>>2];Pb(w,t);s=k+16|0;c[t>>2]=c[s>>2];c[t+4>>2]=c[s+4>>2];c[t+8>>2]=c[s+8>>2];c[t+12>>2]=c[s+12>>2];Pb(w,t)}else{JB(f,k,i,0.0,3);q=+h[k+24>>3];o=+h[k>>3];if(j==0.0){n=+h[k+8>>3];p=q*.25;j=n;m=o}else{p=q*.25;y=p;m=+E(+j)*y+o;n=+h[k+8>>3];j=+F(+j)*y+n}h[r>>3]=m;h[r+8>>3]=j;h[s>>3]=o;h[s+8>>3]=n;f=w+4|0;d=c[f>>2]|0;if(d>>>0>=(c[w+8>>2]|0)>>>0){dm(w,1)|0;d=c[f>>2]|0}c[f>>2]=d+1;a[d>>0]=40;c[t>>2]=c[r>>2];c[t+4>>2]=c[r+4>>2];c[t+8>>2]=c[r+8>>2];c[t+12>>2]=c[r+12>>2];Pb(w,t);Xb(w,p);c[t>>2]=c[s>>2];c[t+4>>2]=c[s+4>>2];c[t+8>>2]=c[s+8>>2];c[t+12>>2]=c[s+12>>2];Pb(w,t);Xb(w,q)}fm(w,59731)|0;d=u+140|0;j=+g[d>>2];f=u+56|0;if(j>0.0){Yb(w,j,f);Yb(w,+g[d>>2],u+96|0)}else{Yb(w,0.0,f);Yb(w,1.0,u+96|0)}hm(w)|0;k=w+4|0;d=c[k>>2]|0;i=w+8|0;f=d>>>0>=(c[i>>2]|0)>>>0;if(v){if(f){dm(w,1)|0;d=c[k>>2]|0}c[k>>2]=d+1;a[d>>0]=93}else{if(f){dm(w,1)|0;d=c[k>>2]|0}c[k>>2]=d+1;a[d>>0]=41}d=c[k>>2]|0;if(d>>>0>=(c[i>>2]|0)>>>0){dm(w,1)|0;d=c[k>>2]|0}a[d>>0]=0;v=c[w>>2]|0;c[k>>2]=v;Tb(b,59728,v);gm(w)}l=x;return}function Wb(a){a=a|0;Sb((c[a+16>>2]|0)+56|0);Tb(a,59728,173882);return}function Xb(a,b){a=a|0;b=+b;var c=0,d=0;c=l;l=l+1024|0;d=c;Qb(d,b);fm(a,d)|0;l=c;return}function Yb(a,b,c){a=a|0;b=+b;c=c|0;var d=0,e=0,f=0;d=l;l=l+1040|0;f=d;e=d+8|0;h[f>>3]=b;pL(e,59734,f)|0;Rb(e,1);Sb(c);Ub(a,e,173882);l=d;return}function Zb(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0;e=l;l=l+1040|0;i=e;f=e+16|0;g=c[11344+(c[(c[a+16>>2]|0)+12>>2]<<2)>>2]|0;fm(g,59843)|0;c[i>>2]=c[d>>2];c[i+4>>2]=c[d+4>>2];c[i+8>>2]=c[d+8>>2];c[i+12>>2]=c[d+12>>2];Pb(g,i);Qb(f,+h[d+16>>3]-+h[d>>3]);fm(g,f)|0;Qb(f,+h[d+24>>3]-+h[d+8>>3]);fm(g,f)|0;Tb(a,174181,c[b+8>>2]|0);l=e;return}function _b(a){a=a|0;var b=0;switch(c[a+64>>2]|0){case 0:{b=yr(c[a>>2]|0)|0;ms(b,c[(c[a+16>>2]|0)+8>>2]|0,60630,0)|0;zr(b);break}case 1:{vx(c[(c[a>>2]|0)+168>>2]|0);break}default:{}}return}function $b(b){b=b|0;var d=0,e=0,f=0,g=0;f=l;l=l+16|0;d=f;e=c[(c[b+16>>2]|0)+8>>2]|0;if(!(c[41889]|0)){c[41889]=c[4442];c[41890]=9;c[41891]=17}c[(c[e+64>>2]|0)+8>>2]=167556;ac(e,1);c[d>>2]=0;a[d+4>>0]=(a[(c[e+16>>2]|0)+115>>0]|0)==1&1;g=c[b+64>>2]|0;a[d+5>>0]=((g|0)==0|(g|0)==3)&1;a[d+6>>0]=0;bc(e,b,1,d);l=f;return}function ac(a,b){a=a|0;b=b|0;var d=0;c[a>>2]=c[a>>2]&-9;d=Jp(a)|0;while(1){if(!d)break;ac(d,0);d=Kp(d)|0}a:do if(b|0){b=co(a)|0;while(1){if(!b)break a;c[b>>2]=c[b>>2]&-9;d=Pm(a,b)|0;while(1){if(!d)break;c[d>>2]=c[d>>2]&-9;d=Rm(a,d)|0}b=eo(a,b)|0}}while(0);return}function bc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;q=l;l=l+16|0;p=q+8|0;o=q;n=(d|0)!=0;if(n){m=Ql(11764,c[4345]|0)|0;So(a,1,86799,12,0);So(a,2,86799,12,0);So(a,0,86799,-12,0);f=cc(a,0,m)|0;j=co(a)|0;i=0;g=0;while(1){if(!j)break;if(!(VJ(Dn(j)|0,93039,7)|0)){k=g;g=dc(m,Dn(j)|0)|0}else{k=g+1|0;g=g+f|0}c[(Lo(j,86799,0)|0)+8>>2]=g;h=Pm(a,j)|0;g=i;while(1){if(!h)break;c[(Lo(h,86799,0)|0)+8>>2]=g;h=Rm(a,h)|0;g=g+1|0}j=eo(a,j)|0;i=g;g=k}Kl(m)|0}else f=0;m=c[e>>2]|0;c[e>>2]=m+1;ec(b,m);mr(b,82337)|0;fc(a,b,d,e);gc(a,b,e);mr(b,82308)|0;ec(b,c[e>>2]|0);if(n){c[o>>2]=f;sr(b,59846,o)}else{c[p>>2]=c[(Lo(a,86799,0)|0)+8>>2];sr(b,59866,p)}ic(a,b,d,hc(a,b,d,e)|0,e);jc(a,b,d,e);mr(b,134901)|0;p=(c[e>>2]|0)+-1|0;c[e>>2]=p;ec(b,p);if(n)mr(b,95830)|0;else mr(b,68190)|0;l=q;return}function cc(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;if((so(a)|0)!=(a|0)){e=b+1|0;c[(Lo(a,86799,0)|0)+8>>2]=b;if(!(VJ(Dn(a)|0,93039,7)|0)){b=Dn(a)|0;vc(d,b,c[(Lo(a,86799,0)|0)+8>>2]|0);b=e}else b=e}e=Jp(a)|0;while(1){if(!e)break;a=cc(e,b,d)|0;e=Kp(e)|0;b=a}return b|0}function dc(a,b){a=a|0;b=b|0;a=bb[c[a>>2]&31](a,b,512)|0;if(!a)a=-1;else a=c[a+12>>2]|0;return a|0}function ec(a,b){a=a|0;b=b|0;while(1){if((b|0)<=0)break;mr(a,60598)|0;b=b+-1|0}return}function fc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;h=l;l=l+32|0;g=h+16|0;f=h+8|0;i=h;j=Dn(a)|0;ec(b,c[e>>2]|0);c[i>>2]=mc(j,e)|0;sr(b,59954,i);if(d|0){mr(b,82308)|0;ec(b,c[e>>2]|0);j=(qn(a)|0)!=0;c[f>>2]=j?92685:122100;sr(b,60568,f);ec(b,c[e>>2]|0);j=(sn(a)|0)!=0;c[g>>2]=j?92685:122100;sr(b,60585,g)}l=h;return}function gc(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;n=o+8|0;m=o;i=so(b)|0;j=c[b>>2]&3;f=Dm(i,j,0)|0;a:do if(f|0){k=e+5|0;while(1){if(!f)break a;g=Jm(b,f)|0;do if(g|0){h=f+8|0;if(!(a[g>>0]|0)){g=c[h>>2]|0;if((a[g>>0]|0)!=108)break;if(xJ(g,86240)|0)break}mr(d,82308)|0;ec(d,c[e>>2]|0);c[m>>2]=mc(c[h>>2]|0,e)|0;sr(d,60004,m);if(a[k>>0]|0?oc(c[h>>2]|0)|0:0){pc(Jm(b,f)|0,d,e);break}c[n>>2]=mc(Jm(b,f)|0,e)|0;sr(d,60011,n)}while(0);f=Dm(i,j,f)|0}}while(0);l=o;return}function hc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;i=l;l=l+16|0;h=i;f=Jp(a)|0;if(f){mr(b,82308)|0;g=c[e>>2]|0;c[e>>2]=g+1;ec(b,g);g=(d|0)!=0;if(g){mr(b,59928)|0;a=0;d=f}else{mr(b,59988)|0;ec(b,c[e>>2]|0);a=0;d=f}while(1){if(!d)break;if(!a)a=1;else mr(b,82308)|0;if(g)nc(d,b,e);else{c[h>>2]=c[(Lo(d,86799,0)|0)+8>>2];sr(b,122187,h)}d=Kp(d)|0}if(g)a=1;else{c[e>>2]=(c[e>>2]|0)+-1;mr(b,134901)|0;ec(b,c[e>>2]|0);mr(b,82303)|0;a=1}}else a=0;l=i;return a|0}function ic(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0;g=co(a)|0;if(!g){if((d|0)!=0&(e|0)!=0){c[f>>2]=(c[f>>2]|0)+-1;mr(b,134901)|0;ec(b,c[f>>2]|0);mr(b,82303)|0}}else{mr(b,82308)|0;h=(d|0)!=0;if(h)if(!e){e=c[f>>2]|0;c[f>>2]=e+1;ec(b,e);mr(b,59928)|0;e=0}else e=0;else{e=c[f>>2]|0;c[f>>2]=e+1;ec(b,e);mr(b,59942)|0;ec(b,c[f>>2]|0);e=0}while(1){if(!g)break;if(VJ(Dn(g)|0,93039,7)|0){do if(e)if(h){mr(b,82308)|0;break}else{mr(b,86030)|0;break}else e=1;while(0);lc(g,b,d,f)}g=eo(a,g)|0}c[f>>2]=(c[f>>2]|0)+-1;mr(b,134901)|0;ec(b,c[f>>2]|0);mr(b,82303)|0}return}function jc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;f=co(a)|0;a:do if(f|0){while(1){if(!f)break a;if(Pm(a,f)|0)break;f=eo(a,f)|0}mr(b,82308)|0;i=c[e>>2]|0;c[e>>2]=i+1;ec(b,i);mr(b,59878)|0;i=(d|0)!=0;if(i)g=0;else{ec(b,c[e>>2]|0);g=0}while(1){if(!f)break;h=Pm(a,f)|0;while(1){if(!h)break;do if(g)if(i){mr(b,82308)|0;break}else{mr(b,86030)|0;break}else g=1;while(0);kc(h,b,d,e);h=Rm(a,h)|0}f=eo(a,f)|0}c[e>>2]=(c[e>>2]|0)+-1;mr(b,134901)|0;ec(b,c[e>>2]|0);mr(b,82303)|0}while(0);return}function kc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;j=l;l=l+32|0;i=j+24|0;h=j+16|0;g=j+8|0;f=j;if(!d){c[i>>2]=c[(Lo(a,86799,0)|0)+8>>2];sr(b,122187,i)}else{i=c[e>>2]|0;c[e>>2]=i+1;ec(b,i);mr(b,82337)|0;ec(b,c[e>>2]|0);c[f>>2]=c[(Lo(a,86799,0)|0)+8>>2];sr(b,59890,f);ec(b,c[e>>2]|0);c[g>>2]=c[(Lo(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0,86799,0)|0)+8>>2];sr(b,59904,g);ec(b,c[e>>2]|0);c[h>>2]=c[(Lo(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0,86799,0)|0)+8>>2];sr(b,59917,h);gc(a,b,e);mr(b,134901)|0;i=(c[e>>2]|0)+-1|0;c[e>>2]=i;ec(b,i);mr(b,68190)|0}l=j;return}function lc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;i=l;l=l+32|0;h=i+16|0;g=i+8|0;f=i;if(!d){c[h>>2]=c[(Lo(a,86799,0)|0)+8>>2];sr(b,122187,h)}else{h=c[e>>2]|0;c[e>>2]=h+1;ec(b,h);mr(b,82337)|0;ec(b,c[e>>2]|0);c[f>>2]=c[(Lo(a,86799,0)|0)+8>>2];sr(b,59890,f);ec(b,c[e>>2]|0);c[g>>2]=mc(Dn(a)|0,e)|0;sr(b,59954,g);gc(a,b,e);mr(b,134901)|0;h=(c[e>>2]|0)+-1|0;c[e>>2]=h;ec(b,h);mr(b,68190)|0}l=i;return}function mc(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;g=d+4|0;if(a[g>>0]|0)b=yB(b)|0;if(!(c[41892]|0)){cm(167568,1024,0);e=b}else e=b;a:while(1){f=a[e>>0]|0;switch(f<<24>>24){case 0:break a;case 34:{fm(167568,59967)|0;break}case 92:{fm(167568,81579)|0;break}case 47:{fm(167568,59970)|0;break}case 8:{fm(167568,59973)|0;break}case 12:{fm(167568,59976)|0;break}case 10:{fm(167568,59979)|0;break}case 13:{fm(167568,59982)|0;break}case 9:{fm(167568,59985)|0;break}default:{d=c[41893]|0;if(d>>>0>=(c[41894]|0)>>>0){dm(167568,1)|0;d=c[41893]|0}c[41893]=d+1;a[d>>0]=f}}e=e+1|0}d=c[41893]|0;if(d>>>0>=(c[41894]|0)>>>0){dm(167568,1)|0;d=c[41893]|0}a[d>>0]=0;d=c[41892]|0;c[41893]=d;if(a[g>>0]|0)_I(b);return d|0}function nc(a,b,c){a=a|0;b=b|0;c=c|0;bc(a,b,0,c);a=Jp(a)|0;while(1){if(!a)break;mr(b,82308)|0;nc(a,b,c);a=Kp(a)|0}return}function oc(b){b=b|0;var c=0;c=b+1|0;a:do if((a[b>>0]|0)==95){b=(a[c>>0]|0)+-100<<24>>24;switch(((b&255)>>>2|b<<6&255)<<24>>24){case 0:{if(!(xJ(c,60525)|0)){b=1;break a}break}case 2:{if(!(xJ(c,60531)|0)){b=1;break a}break}case 1:{if(!(xJ(c,60538)|0)){b=1;break a}return (xJ(c,60552)|0)==0|0}case 4:{if(!(xJ(c,60545)|0)){b=1;break a}b=(xJ(c,60560)|0)==0&1;break a}default:{b=0;break a}}b=0}else b=0;while(0);return b|0}function pc(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;i=l;l=l+16|0;f=i;do if(b|0?a[b>>0]|0:0){h=wt(b)|0;if(!h){c[f>>2]=b;_l(0,60016,f)|0;break}mr(d,134901)|0;g=c[e>>2]|0;c[e>>2]=g+1;ec(d,g);mr(d,60043)|0;g=h+8|0;b=0;f=0;while(1){if((f|0)>=(c[h>>2]|0))break;if(!b)b=1;else mr(d,82308)|0;qc((c[g>>2]|0)+(f*80|0)|0,d,e);f=f+1|0}c[e>>2]=(c[e>>2]|0)+-1;mr(d,134901)|0;ec(d,c[e>>2]|0);mr(d,82303)|0;xt(h)}while(0);l=i;return}function qc(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0.0,C=0.0,D=0.0;A=l;l=l+240|0;y=A+224|0;x=A+216|0;w=A+208|0;v=A+200|0;u=A+192|0;t=A+184|0;s=A+176|0;r=A+152|0;q=A+136|0;p=A+128|0;o=A+112|0;n=A+104|0;m=A+96|0;k=A+88|0;j=A+72|0;i=A+48|0;z=A+40|0;g=A+8|0;f=A;e=c[d>>2]|0;c[d>>2]=e+1;ec(b,e);mr(b,82337)|0;ec(b,c[d>>2]|0);e=c[a>>2]|0;a:do switch(e|0){case 1:case 0:{c[f>>2]=(e|0)==0?69:101;sr(b,60046,f);ec(b,c[d>>2]|0);D=+h[a+16>>3];C=+h[a+24>>3];B=+h[a+32>>3];h[g>>3]=+h[a+8>>3];h[g+8>>3]=D;h[g+16>>3]=C;h[g+24>>3]=B;sr(b,60059,g);break}case 3:case 2:{c[z>>2]=(e|0)==2?80:112;sr(b,60046,z);ec(b,c[d>>2]|0);rc(b,a+8|0);break}case 5:case 4:{c[i>>2]=(e|0)==4?66:98;sr(b,60046,i);ec(b,c[d>>2]|0);rc(b,a+8|0);break}case 6:{sr(b,60094,A+56|0);ec(b,c[d>>2]|0);rc(b,a+8|0);break}case 7:{sr(b,60106,A+64|0);ec(b,c[d>>2]|0);D=+h[a+16>>3];h[j>>3]=+h[a+8>>3];h[j+8>>3]=D;sr(b,60118,j);ec(b,c[d>>2]|0);z=c[a+24>>2]|0;c[k>>2]=(z|0)==0?108:(z|0)==1?99:114;sr(b,60140,k);ec(b,c[d>>2]|0);h[m>>3]=+h[a+32>>3];sr(b,60156,m);ec(b,c[d>>2]|0);c[n>>2]=mc(c[a+40>>2]|0,d)|0;sr(b,60173,n);break}case 9:case 8:{c[o>>2]=(e|0)==8?67:99;sr(b,60046,o);ec(b,c[d>>2]|0);sr(b,60187,A+120|0);ec(b,c[d>>2]|0);c[p>>2]=mc(c[a+8>>2]|0,d)|0;sr(b,60204,p);break}case 13:case 14:{c[q>>2]=(e|0)==13?67:99;sr(b,60046,q);ec(b,c[d>>2]|0);switch(c[a+8>>2]|0){case 0:{sr(b,60187,A+144|0);ec(b,c[d>>2]|0);c[r>>2]=mc(c[a+16>>2]|0,d)|0;sr(b,60204,r);break a}case 1:{sr(b,60219,A+160|0);ec(b,c[d>>2]|0);sc(b,a+16|0,d);break a}default:{sr(b,60238,A+168|0);ec(b,c[d>>2]|0);tc(b,a+16|0,d);break a}}}case 10:{sr(b,60257,s);ec(b,c[d>>2]|0);h[t>>3]=+h[a+8>>3];sr(b,60269,t);ec(b,c[d>>2]|0);c[u>>2]=mc(c[a+16>>2]|0,d)|0;sr(b,60285,u);break}case 11:{sr(b,60299,v);ec(b,c[d>>2]|0);c[w>>2]=mc(c[a+8>>2]|0,d)|0;sr(b,60311,w);break}case 15:{sr(b,60326,x);ec(b,c[d>>2]|0);c[y>>2]=c[a+8>>2];sr(b,60338,y);break}default:{}}while(0);z=(c[d>>2]|0)+-1|0;c[d>>2]=z;ec(b,z);mr(b,68190)|0;l=A;return}function rc(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0.0;j=l;l=l+48|0;i=j+32|0;g=j+16|0;f=j+8|0;e=c[b>>2]|0;d=c[b+4>>2]|0;sr(a,60499,j);b=0;while(1){if((b|0)>=(e|0))break;if((b|0)>0)sr(a,86030,f);k=+h[d+(b*24|0)+8>>3];h[g>>3]=+h[d+(b*24|0)>>3];h[g+8>>3]=k;sr(a,60511,g);b=b+1|0}sr(a,60452,i);l=j;return}function sc(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0;e=l;l=l+32|0;f=e+16|0;i=e;ec(a,c[d>>2]|0);g=+h[b+8>>3];h[i>>3]=+h[b>>3];h[i+8>>3]=g;sr(a,60455,i);ec(a,c[d>>2]|0);g=+h[b+24>>3];h[f>>3]=+h[b+16>>3];h[f+8>>3]=g;sr(a,60477,f);ec(a,c[d>>2]|0);uc(a,c[b+32>>2]|0,c[b+36>>2]|0,d);l=e;return}function tc(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0.0,j=0;e=l;l=l+48|0;f=e+24|0;j=e;ec(a,c[d>>2]|0);g=+h[b+8>>3];i=+h[b+16>>3];h[j>>3]=+h[b>>3];h[j+8>>3]=g;h[j+16>>3]=i;sr(a,60354,j);ec(a,c[d>>2]|0);i=+h[b+32>>3];g=+h[b+40>>3];h[f>>3]=+h[b+24>>3];h[f+8>>3]=i;h[f+16>>3]=g;sr(a,60382,f);ec(a,c[d>>2]|0);uc(a,c[b+48>>2]|0,c[b+52>>2]|0,d);l=e;return}function uc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,i=0,j=0,k=0,m=0,n=0,o=0.0;m=l;l=l+48|0;k=m+32|0;j=m+16|0;i=m+8|0;sr(a,60410,m);f=0;while(1){if((f|0)>=(b|0))break;if((f|0)>0)sr(a,86030,i);o=+g[d+(f<<3)>>2];n=mc(c[d+(f<<3)+4>>2]|0,e)|0;h[j>>3]=o;c[j+8>>2]=n;sr(a,60421,j);f=f+1|0}sr(a,60452,k);l=m;return}function vc(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;g=l;l=l+16|0;f=g;e=bb[c[a>>2]&31](a,b,512)|0;if(e){if((c[e+12>>2]|0)!=(d|0)){c[f>>2]=b;_l(0,60601,f)|0}}else{f=$I(1,16)|0;c[f+8>>2]=GL(b)|0;c[f+12>>2]=d;bb[c[a>>2]&31](a,f,1)|0}l=g;return}function wc(a,b,d){a=a|0;b=b|0;d=d|0;_I(c[b+8>>2]|0);_I(b);return}function xc(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0;b=l;l=l+32|0;d=b+24|0;e=b+16|0;g=b;f=c[a+16>>2]|0;mr(a,61456)|0;j=c[c[a+12>>2]>>2]|0;i=c[j+4>>2]|0;h=c[j+8>>2]|0;c[g>>2]=c[j>>2];c[g+4>>2]=i;c[g+8>>2]=h;sr(a,61466,g);c[e>>2]=Dn(c[f+8>>2]|0)|0;sr(a,61501,e);c[d>>2]=O(c[a+168>>2]|0,c[a+164>>2]|0)|0;sr(a,61514,d);mr(a,61527)|0;mr(a,61537)|0;mr(a,61545)|0;mr(a,61553)|0;mr(a,61561)|0;mr(a,61569)|0;mr(a,61577)|0;mr(a,61581)|0;mr(a,61586)|0;l=b;return}function yc(a){a=a|0;mr(a,61437)|0;return}function zc(a){a=a|0;c[41896]=2;return}function Ac(a){a=a|0;c[41896]=1;return}function Bc(a){a=a|0;c[41896]=2;return}function Cc(a){a=a|0;c[41896]=0;return}function Dc(a){a=a|0;c[41896]=2;return}function Ec(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0,k=0.0,m=0,n=0,o=0,p=0,q=0.0,r=0.0,s=0;p=l;l=l+80|0;o=p;m=c[(c[b+16>>2]|0)+16>>2]|0;n=c[41896]|0;f=c[e+4>>2]|0;g=+h[b+352>>3]*+h[f+16>>3];i=c[b+360>>2]|0?1.5707963267948966:0.0;j=c[e>>2]|0;k=g*.3333333333333333*+((rJ(j)|0)>>>0);f=c[f+8>>2]|0;if(!f)f=-1;else f=c[f+20>>2]|0;s=a[e+48>>0]|0;r=+h[d>>3];q=+h[d+8>>3];e=Oc(j)|0;c[o>>2]=4;c[o+4>>2]=s<<24>>24==108?0:s<<24>>24==114?2:1;c[o+8>>2]=m;c[o+12>>2]=n;c[o+16>>2]=0;c[o+20>>2]=f;h[o+24>>3]=g;h[o+32>>3]=i;c[o+40>>2]=6;h[o+48>>3]=g;h[o+56>>3]=k;c[o+64>>2]=~~(r+(r>=0.0?.5:-.5));c[o+68>>2]=~~(q+(q+-72.0>=0.0?-71.5:-72.5));c[o+72>>2]=e;sr(b,61382,o);l=p;return}function Fc(b,e){b=b|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;n=l;l=l+32|0;j=n;i=n+20|0;m=e+32|0;a:do switch(c[m>>2]|0){case 5:{f=0;while(1){g=c[12652+(f<<2)>>2]|0;if((f|0)==8)break a;h=c[e>>2]|0;if((a[g>>0]|0)==(a[h>>0]|0)?(xJ(g,h)|0)==0:0){k=10;break a}f=f+1|0}}case 1:{g=e+1|0;h=e+2|0;f=(Nc(i,d[e>>0]|0,d[g>>0]|0,d[h>>0]|0)|0)+32|0;if(!(c[i>>2]|0))k=10;else{o=d[e>>0]|0;i=d[g>>0]|0;k=d[h>>0]|0;c[j>>2]=0;c[j+4>>2]=f;c[j+8>>2]=o;c[j+12>>2]=i;c[j+16>>2]=k;sr(b,61325,j);k=10}break}default:ma(123205,60722,163,60753)}while(0);if((k|0)==10)c[e>>2]=f;c[m>>2]=6;l=n;return}function Gc(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0.0,j=0,k=0,m=0.0,n=0.0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0;e=l;l=l+112|0;f=e+8|0;u=e+104|0;t=e;k=c[a+16>>2]|0;s=~~+h[k+152>>3];r=c[k+16>>2]|0;q=c[k+56>>2]|0;p=c[41896]|0;Lc(k,u,t);n=+h[b>>3];k=~~(n+(n>=0.0?.5:-.5));m=+h[b+8>>3];j=~~(m+(m>=0.0?.5:-.5));i=+h[b+16>>3];n=i-n;g=+h[b+24>>3];m=g-m;b=c[u>>2]|0;o=+h[t>>3];c[f>>2]=1;c[f+4>>2]=1;c[f+8>>2]=b;c[f+12>>2]=s;c[f+16>>2]=r;c[f+20>>2]=q;c[f+24>>2]=p;c[f+28>>2]=0;c[f+32>>2]=d|0?20:-1;h[f+40>>3]=o;c[f+48>>2]=0;h[f+56>>3]=0.0;c[f+64>>2]=k;c[f+68>>2]=j;c[f+72>>2]=~~(n+(n>=0.0?.5:-.5));c[f+76>>2]=~~(m+(m>=0.0?.5:-.5));c[f+80>>2]=k;c[f+84>>2]=j;c[f+88>>2]=~~(i+(i>=0.0?.5:-.5));c[f+92>>2]=~~(g+(g>=0.0?.5:-.5));sr(a,61260,f);l=e;return}function Hc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;f=l;l=l+96|0;g=f+8|0;o=f+80|0;p=f;q=c[a+16>>2]|0;n=~~+h[q+152>>3];m=c[q+16>>2]|0;k=c[q+56>>2]|0;j=c[41896]|0;Lc(q,o,p);o=c[o>>2]|0;i=+h[p>>3];c[g>>2]=2;c[g+4>>2]=3;c[g+8>>2]=o;c[g+12>>2]=n;c[g+16>>2]=m;c[g+20>>2]=k;c[g+24>>2]=j;c[g+28>>2]=0;c[g+32>>2]=e|0?20:-1;h[g+40>>3]=i;c[g+48>>2]=0;c[g+52>>2]=0;c[g+56>>2]=0;c[g+60>>2]=0;c[g+64>>2]=0;c[g+68>>2]=d+1;sr(a,61164,g);Mc(a,b,d,1);l=f;return}function Ic(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0.0,E=0.0,F=0;C=l;l=l+192|0;B=C+176|0;z=C+168|0;A=C+104|0;y=C+96|0;i=C+88|0;u=C+180|0;v=C+80|0;w=C+16|0;x=C;f=a+16|0;e=c[f>>2]|0;q=~~+h[e+152>>3];r=c[e+16>>2]|0;s=c[41896]|0;if((d|0)<=3)ma(60715,60722,360,60742);t=ZI((d*140|0)+140|0)|0;Lc(e,u,v);if(!g){o=4;j=0;k=-1}else{o=5;j=c[(c[f>>2]|0)+56>>2]|0;k=20}E=+h[b>>3];n=w+48|0;h[n>>3]=E;D=+h[b+8>>3];h[w+56>>3]=D;c[i>>2]=~~(E+(E>=0.0?.5:-.5));c[i+4>>2]=~~(D+(D>=0.0?.5:-.5));m=x+8|0;e=t+(pL(t,73932,i)|0)|0;p=1;g=0;while(1){i=g+3|0;if((i|0)>=(d|0))break;c[w>>2]=c[n>>2];c[w+4>>2]=c[n+4>>2];c[w+8>>2]=c[n+8>>2];c[w+12>>2]=c[n+12>>2];f=1;while(1){if((f|0)==4){f=1;break}F=f+g|0;h[w+(f<<4)>>3]=+h[b+(F<<4)>>3];h[w+(f<<4)+8>>3]=+h[b+(F<<4)+8>>3];f=f+1|0}while(1){if((f|0)==7)break;PA(x,w,3,+(f|0)*.16666666666666666,0,0);D=+h[x>>3];E=+h[m>>3];c[y>>2]=~~(D+(D>=0.0?.5:-.5));c[y+4>>2]=~~(E+(E>=0.0?.5:-.5));f=f+1|0;e=e+(pL(e,73932,y)|0)|0}p=p+6|0;g=i}f=c[u>>2]|0;E=+h[v>>3];c[A>>2]=3;c[A+4>>2]=o;c[A+8>>2]=f;c[A+12>>2]=q;c[A+16>>2]=r;c[A+20>>2]=j;c[A+24>>2]=s;c[A+28>>2]=0;c[A+32>>2]=k;h[A+40>>3]=E;c[A+48>>2]=0;c[A+52>>2]=0;c[A+56>>2]=0;c[A+60>>2]=p;sr(a,61215,A);c[z>>2]=t;sr(a,73939,z);_I(t);f=p+-1|0;e=0;while(1){if((e|0)>=(p|0))break;c[B>>2]=((e|0)%(f|0)|0|0)!=0&1;sr(a,73944,B);e=e+1|0}mr(a,134901)|0;l=C;return}function Jc(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0,j=0,k=0,m=0,n=0,o=0;e=l;l=l+96|0;f=e+8|0;m=e+80|0;n=e;o=c[a+16>>2]|0;k=~~+h[o+152>>3];j=c[o+16>>2]|0;i=c[41896]|0;Lc(o,m,n);m=c[m>>2]|0;g=+h[n>>3];c[f>>2]=2;c[f+4>>2]=1;c[f+8>>2]=m;c[f+12>>2]=k;c[f+16>>2]=j;c[f+20>>2]=0;c[f+24>>2]=i;c[f+28>>2]=0;c[f+32>>2]=0;h[f+40>>3]=g;c[f+48>>2]=0;c[f+52>>2]=0;c[f+56>>2]=0;c[f+60>>2]=0;c[f+64>>2]=0;c[f+68>>2]=d;sr(a,61164,f);Mc(a,b,d,0);l=e;return}function Kc(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=b;sr(a,61158,e);l=d;return}function Lc(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0;switch(c[a+144>>2]|0){case 1:{e=10.0;a=1;break}case 2:{e=10.0;a=2;break}default:{e=0.0;a=0}}c[b>>2]=a;h[d>>3]=e;return}function Mc(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0.0,m=0.0;j=l;l=l+16|0;i=j+8|0;g=j;f=0;while(1){if((f|0)>=(d|0))break;m=+h[b+(f<<4)>>3];k=+h[b+(f<<4)+8>>3];c[g>>2]=~~(m+(m>=0.0?.5:-.5));c[g+4>>2]=~~(k+(k>=0.0?.5:-.5));sr(a,73932,g);f=f+1|0}if(e|0){k=+h[b>>3];m=+h[b+8>>3];c[i>>2]=~~(k+(k>=0.0?.5:-.5));c[i+4>>2]=~~(m+(m>=0.0?.5:-.5));sr(a,73932,i)}mr(a,134901)|0;l=j;return}function Nc(a,d,e,f){a=a|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0;c[a>>2]=0;k=c[41897]|0;h=195075;g=0;i=-1;while(1){if((g|0)>=(k|0)){l=6;break}m=(b[170804+(g<<1)>>1]|0)-d|0;n=(b[171316+(g<<1)>>1]|0)-e|0;j=(b[171828+(g<<1)>>1]|0)-f|0;j=(O(n,n)|0)+(O(m,m)|0)+(O(j,j)|0)|0;if((j|0)<(h|0))if(!j)break;else{h=j;i=g}g=g+1|0}if((l|0)==6){c[41897]=k+1;if((k|0)==256)g=i;else{b[170804+(g<<1)>>1]=d;b[171316+(g<<1)>>1]=e;b[171828+(g<<1)>>1]=f;c[a>>2]=1}}return g|0}function Oc(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;h=i;d=c[41898]|0;if(!d){c[41899]=64;d=ZI(64)|0;c[41898]=d;e=0}else e=0;while(1){g=b+1|0;f=a[b>>0]|0;if(!(f<<24>>24))break;b=c[41899]|0;if((e|0)>(b+-8|0)){d=b<<1;c[41899]=d;d=aJ(c[41898]|0,d)|0;c[41898]=d;d=d+e|0}if(f<<24>>24<=-1){a[d>>0]=92;c[h>>2]=f&255;pL(d+1|0,74057,h)|0;b=g;d=d+4|0;e=e+4|0;continue}if(f<<24>>24==92){a[d>>0]=92;e=e+1|0;d=d+1|0}a[d>>0]=f;b=g;d=d+1|0;e=e+1|0}a[d>>0]=0;l=i;return c[41898]|0}function Pc(b){b=b|0;var d=0,e=0,f=0;e=c[b+16>>2]|0;switch(c[b+64>>2]|0){case 0:{mr(b,61053)|0;d=e+208|0;e=c[d>>2]|0;if(e|0?a[e>>0]|0:0){mr(b,61067)|0;mr(b,rw(c[d>>2]|0)|0)|0;mr(b,134901)|0}break}case 1:{d=e+208|0;f=c[d>>2]|0;if(f|0?a[f>>0]|0:0){mr(b,61067)|0;mr(b,rw(c[d>>2]|0)|0)|0;mr(b,87638)|0;mr(b,rw(Dn(c[e+8>>2]|0)|0)|0)|0;mr(b,134901)|0}break}case 3:{f=rw(Dn(c[e+8>>2]|0)|0)|0;mr(b,61076)|0;mr(b,f)|0;mr(b,61086)|0;mr(b,f)|0;mr(b,61041)|0;break}default:{}}return}function Qc(a){a=a|0;var b=0;b=c[a+16>>2]|0;switch(c[a+64>>2]|0){case 2:{Sc(a,c[b+264>>2]|0,c[b+272>>2]|0,c[b+268>>2]|0,c[b+208>>2]|0,c[b+228>>2]|0,c[b+244>>2]|0,c[b+212>>2]|0);break}case 3:{Sc(a,c[b+264>>2]|0,c[b+272>>2]|0,c[b+268>>2]|0,c[b+208>>2]|0,c[b+228>>2]|0,c[b+244>>2]|0,c[b+212>>2]|0);mr(a,61045)|0;break}default:{}}return}function Rc(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0;g=c[a+16>>2]|0;Sc(a,c[g+264>>2]|0,c[g+272>>2]|0,c[g+268>>2]|0,b,d,e,f);return}function Sc(b,d,e,f,g,i,j,k){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;j=j|0;k=k|0;var m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0.0;y=l;l=l+128|0;x=y+120|0;u=y+112|0;t=y+96|0;s=y+80|0;r=y+56|0;w=y+48|0;q=y+40|0;v=y+24|0;p=y;a:do if((e|0)!=0&(f|0)!=0){m=f+10|0;if((c[41900]|0)<(f|0)){c[41900]=m;o=aJ(c[41901]|0,m<<3)|0;c[41901]=o}else o=c[41901]|0;m=0;while(1){if((m|0)>=(f|0))break;z=+h[e+(m<<4)>>3];c[o+(m<<3)>>2]=~~(z+(z>=0.0?.5:-.5));z=+h[e+(m<<4)+8>>3];c[o+(m<<3)+4>>2]=~~(z+(z>=0.0?.5:-.5));m=m+1|0}n=b+64|0;m=c[n>>2]|0;e=(g|0)!=0;if(e&(m|0)==0){if(!(a[g>>0]|0))break;switch(d|0){case 0:{v=c[o>>2]|0;w=c[o+12>>2]|0;x=c[o+8>>2]|0;f=c[o+4>>2]|0;c[p>>2]=g;c[p+4>>2]=v;c[p+8>>2]=w;c[p+12>>2]=x;c[p+16>>2]=f;sr(b,60787,p);break a}case 1:{w=c[o>>2]|0;x=c[o+4>>2]|0;f=(c[o+8>>2]|0)-w|0;c[v>>2]=g;c[v+4>>2]=w;c[v+8>>2]=x;c[v+12>>2]=f;sr(b,60808,v);break a}case 2:{c[q>>2]=g;sr(b,60828,q);m=0;while(1){if((m|0)>=(f|0))break;v=c[41901]|0;x=c[v+(m<<3)+4>>2]|0;c[w>>2]=c[v+(m<<3)>>2];c[w+4>>2]=x;sr(b,60836,w);m=m+1|0}mr(b,134901)|0;break a}default:ma(123205,60843,63,60863)}}if(e&(m|0)==1){if(!(a[g>>0]|0))break;if(!d){w=c[o+12>>2]|0;x=c[o+8>>2]|0;f=c[o+4>>2]|0;c[r>>2]=c[o>>2];c[r+4>>2]=w;c[r+8>>2]=x;c[r+12>>2]=f;c[r+16>>2]=g;c[r+20>>2]=i;sr(b,60880,r);break}else ma(123205,60843,75,60863)}if((m&-2|0)==2){switch(d|0){case 1:{mr(b,60913)|0;break}case 0:{mr(b,60934)|0;break}case 2:{mr(b,60953)|0;break}default:ma(123205,60843,91,60863)}if(k|0?a[k>>0]|0:0){mr(b,66433)|0;mr(b,uw(k)|0)|0;mr(b,83714)|0}if(e?a[g>>0]|0:0){mr(b,60972)|0;mr(b,uw(g)|0)|0;mr(b,83714)|0}if(j|0?a[j>>0]|0:0){mr(b,67392)|0;mr(b,rw(j)|0)|0;mr(b,83714)|0}if(i|0?a[i>>0]|0:0){mr(b,60980)|0;mr(b,rw(i)|0)|0;mr(b,83714)|0}mr(b,60989)|0;mr(b,60997)|0;b:do switch(d|0){case 1:{f=c[41901]|0;w=c[f>>2]|0;x=c[f+4>>2]|0;f=(c[f+8>>2]|0)-w|0;c[s>>2]=w;c[s+4>>2]=x;c[s+8>>2]=f;sr(b,61007,s);break}case 0:{v=c[41901]|0;w=c[v+12>>2]|0;x=c[v+8>>2]|0;f=c[v+4>>2]|0;c[t>>2]=c[v>>2];c[t+4>>2]=w;c[t+8>>2]=x;c[t+12>>2]=f;sr(b,61016,t);break}case 2:{w=c[41901]|0;m=c[w+4>>2]|0;c[u>>2]=c[w>>2];c[u+4>>2]=m;sr(b,61028,u);m=1;while(1){if((m|0)>=(f|0))break b;v=c[41901]|0;w=c[v+(m<<3)+4>>2]|0;c[x>>2]=c[v+(m<<3)>>2];c[x+4>>2]=w;sr(b,61034,x);m=m+1|0}}default:{}}while(0);if((c[n>>2]|0)==3){mr(b,66257)|0;break}else{mr(b,61041)|0;break}}}while(0);l=y;return}function Tc(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0;b=l;l=l+32|0;d=b+24|0;e=b+16|0;g=b;f=c[a+16>>2]|0;mr(a,61456)|0;j=c[c[a+12>>2]>>2]|0;i=c[j+4>>2]|0;h=c[j+8>>2]|0;c[g>>2]=c[j>>2];c[g+4>>2]=i;c[g+8>>2]=h;sr(a,61466,g);c[e>>2]=Dn(c[f+8>>2]|0)|0;sr(a,61501,e);c[d>>2]=O(c[a+168>>2]|0,c[a+164>>2]|0)|0;sr(a,61514,d);mr(a,61527)|0;mr(a,61537)|0;mr(a,61545)|0;mr(a,61553)|0;mr(a,61561)|0;mr(a,61569)|0;mr(a,61577)|0;mr(a,61581)|0;mr(a,61586)|0;l=b;return}function Uc(a){a=a|0;mr(a,61437)|0;return}function Vc(a){a=a|0;c[41902]=2;return}function Wc(a){a=a|0;c[41902]=1;return}function Xc(a){a=a|0;c[41902]=2;return}function Yc(a){a=a|0;c[41902]=0;return}function Zc(a){a=a|0;c[41902]=2;return}function _c(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0,k=0,m=0,n=0,o=0.0,p=0.0,q=0;n=l;l=l+80|0;m=n;j=c[(c[b+16>>2]|0)+16>>2]|0;k=c[41902]|0;f=c[e+4>>2]|0;g=+h[b+352>>3]*+h[f+16>>3];i=c[b+360>>2]|0?1.5707963267948966:0.0;f=c[f+8>>2]|0;if(!f)f=-1;else f=c[f+20>>2]|0;q=a[e+48>>0]|0;p=+h[d>>3];o=+h[d+8>>3];e=id(c[e>>2]|0)|0;c[m>>2]=4;c[m+4>>2]=q<<24>>24==108?0:q<<24>>24==114?2:1;c[m+8>>2]=j;c[m+12>>2]=k;c[m+16>>2]=0;c[m+20>>2]=f;h[m+24>>3]=g;h[m+32>>3]=i;c[m+40>>2]=4;h[m+48>>3]=0.0;h[m+56>>3]=0.0;c[m+64>>2]=~~(p+(p>=0.0?.5:-.5));c[m+68>>2]=~~(o+(o>=0.0?.5:-.5));c[m+72>>2]=e;sr(b,61382,m);l=n;return}function $c(b,e){b=b|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;n=l;l=l+32|0;j=n;i=n+20|0;m=e+32|0;a:do switch(c[m>>2]|0){case 5:{f=0;while(1){g=c[12652+(f<<2)>>2]|0;if((f|0)==8)break a;h=c[e>>2]|0;if((a[g>>0]|0)==(a[h>>0]|0)?(xJ(g,h)|0)==0:0){k=10;break a}f=f+1|0}}case 1:{g=e+1|0;h=e+2|0;f=(hd(i,d[e>>0]|0,d[g>>0]|0,d[h>>0]|0)|0)+32|0;if(!(c[i>>2]|0))k=10;else{o=d[e>>0]|0;i=d[g>>0]|0;k=d[h>>0]|0;c[j>>2]=0;c[j+4>>2]=f;c[j+8>>2]=o;c[j+12>>2]=i;c[j+16>>2]=k;sr(b,61325,j);k=10}break}case 0:{f=0;k=10;break}default:ma(123205,61346,168,61365)}while(0);if((k|0)==10)c[e>>2]=f;c[m>>2]=6;l=n;return}function ad(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0.0,j=0,k=0,m=0.0,n=0.0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0;e=l;l=l+112|0;f=e+8|0;u=e+104|0;t=e;k=c[a+16>>2]|0;s=~~+h[k+152>>3];r=c[k+16>>2]|0;q=c[k+56>>2]|0;p=c[41902]|0;fd(k,u,t);n=+h[b>>3];k=~~(n+(n>=0.0?.5:-.5));m=+h[b+8>>3];j=~~(m+(m>=0.0?.5:-.5));i=+h[b+16>>3];n=i-n;g=+h[b+24>>3];m=g-m;b=c[u>>2]|0;o=+h[t>>3];c[f>>2]=1;c[f+4>>2]=1;c[f+8>>2]=b;c[f+12>>2]=s;c[f+16>>2]=r;c[f+20>>2]=q;c[f+24>>2]=p;c[f+28>>2]=0;c[f+32>>2]=d|0?20:-1;h[f+40>>3]=o;c[f+48>>2]=0;h[f+56>>3]=0.0;c[f+64>>2]=k;c[f+68>>2]=j;c[f+72>>2]=~~(n+(n>=0.0?.5:-.5));c[f+76>>2]=~~(m+(m>=0.0?.5:-.5));c[f+80>>2]=k;c[f+84>>2]=j;c[f+88>>2]=~~(i+(i>=0.0?.5:-.5));c[f+92>>2]=~~(g+(g>=0.0?.5:-.5));sr(a,61260,f);l=e;return}function bd(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;f=l;l=l+96|0;g=f+8|0;o=f+80|0;p=f;q=c[a+16>>2]|0;n=~~+h[q+152>>3];m=c[q+16>>2]|0;k=c[q+56>>2]|0;j=c[41902]|0;fd(q,o,p);o=c[o>>2]|0;i=+h[p>>3];c[g>>2]=2;c[g+4>>2]=3;c[g+8>>2]=o;c[g+12>>2]=n;c[g+16>>2]=m;c[g+20>>2]=k;c[g+24>>2]=j;c[g+28>>2]=0;c[g+32>>2]=e|0?20:-1;h[g+40>>3]=i;c[g+48>>2]=0;c[g+52>>2]=0;c[g+56>>2]=0;c[g+60>>2]=0;c[g+64>>2]=0;c[g+68>>2]=d+1;sr(a,61164,g);gd(a,b,d,1);l=f;return}function cd(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0.0,E=0.0,F=0;C=l;l=l+192|0;B=C+176|0;z=C+168|0;A=C+104|0;y=C+96|0;f=C+88|0;u=C+180|0;v=C+80|0;w=C+16|0;x=C;e=a+16|0;p=c[e>>2]|0;q=~~+h[p+152>>3];r=c[p+16>>2]|0;s=c[41902]|0;t=ZI((d*140|0)+140|0)|0;fd(p,u,v);if(!g){o=4;j=0;k=-1}else{o=5;j=c[(c[e>>2]|0)+56>>2]|0;k=20}E=+h[b>>3];n=w+48|0;h[n>>3]=E;D=+h[b+8>>3];h[w+56>>3]=D;c[f>>2]=~~(E+(E>=0.0?.5:-.5));c[f+4>>2]=~~(D+(D>=0.0?.5:-.5));m=x+8|0;e=t+(pL(t,73932,f)|0)|0;p=1;g=0;while(1){i=g+3|0;if((i|0)>=(d|0))break;c[w>>2]=c[n>>2];c[w+4>>2]=c[n+4>>2];c[w+8>>2]=c[n+8>>2];c[w+12>>2]=c[n+12>>2];f=1;while(1){if((f|0)==4){f=1;break}F=f+g|0;h[w+(f<<4)>>3]=+h[b+(F<<4)>>3];h[w+(f<<4)+8>>3]=+h[b+(F<<4)+8>>3];f=f+1|0}while(1){if((f|0)==7)break;PA(x,w,3,+(f|0)*.16666666666666666,0,0);D=+h[x>>3];E=+h[m>>3];c[y>>2]=~~(D+(D>=0.0?.5:-.5));c[y+4>>2]=~~(E+(E>=0.0?.5:-.5));f=f+1|0;e=e+(pL(e,73932,y)|0)|0}p=p+6|0;g=i}f=c[u>>2]|0;E=+h[v>>3];c[A>>2]=3;c[A+4>>2]=o;c[A+8>>2]=f;c[A+12>>2]=q;c[A+16>>2]=r;c[A+20>>2]=j;c[A+24>>2]=s;c[A+28>>2]=0;c[A+32>>2]=k;h[A+40>>3]=E;c[A+48>>2]=0;c[A+52>>2]=0;c[A+56>>2]=0;c[A+60>>2]=p;sr(a,61215,A);c[z>>2]=t;sr(a,73939,z);_I(t);f=p+-1|0;e=0;while(1){if((e|0)>=(p|0))break;c[B>>2]=((e|0)%(f|0)|0|0)!=0&1;sr(a,73944,B);e=e+1|0}mr(a,134901)|0;l=C;return}function dd(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0,j=0,k=0,m=0,n=0,o=0;e=l;l=l+96|0;f=e+8|0;m=e+80|0;n=e;o=c[a+16>>2]|0;k=~~+h[o+152>>3];j=c[o+16>>2]|0;i=c[41902]|0;fd(o,m,n);m=c[m>>2]|0;g=+h[n>>3];c[f>>2]=2;c[f+4>>2]=1;c[f+8>>2]=m;c[f+12>>2]=k;c[f+16>>2]=j;c[f+20>>2]=0;c[f+24>>2]=i;c[f+28>>2]=0;c[f+32>>2]=0;h[f+40>>3]=g;c[f+48>>2]=0;c[f+52>>2]=0;c[f+56>>2]=0;c[f+60>>2]=0;c[f+64>>2]=0;c[f+68>>2]=d;sr(a,61164,f);gd(a,b,d,0);l=e;return}function ed(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=b;sr(a,61158,e);l=d;return}function fd(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0;switch(c[a+144>>2]|0){case 1:{e=10.0;a=1;break}case 2:{e=10.0;a=2;break}default:{e=0.0;a=0}}c[b>>2]=a;h[d>>3]=e;return}function gd(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0.0,m=0.0;j=l;l=l+16|0;i=j+8|0;g=j;f=0;while(1){if((f|0)>=(d|0))break;m=+h[b+(f<<4)>>3];k=+h[b+(f<<4)+8>>3];c[g>>2]=~~(m+(m>=0.0?.5:-.5));c[g+4>>2]=~~(k+(k>=0.0?.5:-.5));sr(a,73932,g);f=f+1|0}if(e|0){k=+h[b>>3];m=+h[b+8>>3];c[i>>2]=~~(k+(k>=0.0?.5:-.5));c[i+4>>2]=~~(m+(m>=0.0?.5:-.5));sr(a,73932,i)}mr(a,134901)|0;l=j;return}function hd(a,d,e,f){a=a|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0;c[a>>2]=0;k=c[41903]|0;h=195075;g=0;i=-1;while(1){if((g|0)>=(k|0)){l=6;break}m=(b[172340+(g<<1)>>1]|0)-d|0;n=(b[172852+(g<<1)>>1]|0)-e|0;j=(b[173364+(g<<1)>>1]|0)-f|0;j=(O(n,n)|0)+(O(m,m)|0)+(O(j,j)|0)|0;if((j|0)<(h|0))if(!j)break;else{h=j;i=g}g=g+1|0}if((l|0)==6){c[41903]=k+1;if((k|0)==256)g=i;else{b[172340+(g<<1)>>1]=d;b[172852+(g<<1)>>1]=e;b[173364+(g<<1)>>1]=f;c[a>>2]=1}}return g|0}function id(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;h=i;d=c[41904]|0;if(!d){c[41905]=64;d=ZI(64)|0;c[41904]=d;e=0}else e=0;while(1){g=b+1|0;f=a[b>>0]|0;if(!(f<<24>>24))break;b=c[41905]|0;if((e|0)>(b+-8|0)){d=b<<1;c[41905]=d;d=aJ(c[41904]|0,d)|0;c[41904]=d;d=d+e|0}if(f<<24>>24<=-1){a[d>>0]=92;c[h>>2]=f&255;pL(d+1|0,74057,h)|0;b=g;d=d+4|0;e=e+4|0;continue}if(f<<24>>24==92){a[d>>0]=92;e=e+1|0;d=d+1|0}a[d>>0]=f;b=g;d=d+1|0;e=e+1|0}a[d>>0]=0;l=i;return c[41904]|0}function jd(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;d=l;l=l+16|0;b=d;mr(a,66165)|0;if((c[a+64>>2]|0)==2)mr(a,66180)|0;else mr(a,134901)|0;g=c[c[a+12>>2]>>2]|0;f=c[g+4>>2]|0;e=c[g+8>>2]|0;c[b>>2]=c[g>>2];c[b+4>>2]=f;c[b+8>>2]=e;sr(a,66191,b);l=d;return}function kd(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;g=l;l=l+32|0;f=g+8|0;e=g;mr(a,66119)|0;d=a+64|0;b=a+12|0;if((c[d>>2]|0)!=2){c[e>>2]=c[(c[b>>2]|0)+28>>2];sr(a,66130,e)}if((c[(c[b>>2]|0)+20>>2]|0)==0?(c[d>>2]|0)!=2:0){b=c[a+476>>2]|0;d=c[a+480>>2]|0;e=c[a+484>>2]|0;c[f>>2]=c[a+472>>2];c[f+4>>2]=b;c[f+8>>2]=d;c[f+12>>2]=e;sr(a,62499,f)}mr(a,66145)|0;mr(a,66158)|0;l=g;return}function ld(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;k=l;l=l+32|0;j=k+24|0;f=k+8|0;i=k;g=c[b+16>>2]|0;a[173892]=0;e=b+12|0;h=g+8|0;if(!(c[(c[e>>2]|0)+28>>2]|0)){c[i>>2]=Dn(c[h>>2]|0)|0;sr(b,62430,i);d=b+64|0;if((c[d>>2]|0)==2)mr(b,62463)|0;else mr(b,62445)|0;do if(!(c[(c[e>>2]|0)+20>>2]|0))if((c[d>>2]|0)==2){n=c[b+460>>2]|0;m=c[b+464>>2]|0;d=c[b+468>>2]|0;c[f>>2]=c[b+456>>2];c[f+4>>2]=n;c[f+8>>2]=m;c[f+12>>2]=d;sr(b,62499,f);break}else{mr(b,62475)|0;break}while(0);mr(b,62529)|0;ey(b,c[(c[e>>2]|0)+24>>2]|0,12928);gy(b);d=c[(c[e>>2]|0)+20>>2]|0;if(d|0){c[i>>2]=c[d>>2];c[i+4>>2]=0;ey(b,0,i)}}c[41906]=(a[(c[(c[h>>2]|0)+16>>2]|0)+115>>0]|0)==1?1:-1;if(!(a[173892]|0)){mr(b,62549)|0;a[173892]=1}d=c[g+208>>2]|0;if(d|0){c[j>>2]=hy(d,c[41906]|0)|0;sr(b,62562,j)}l=k;return}function md(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;b=l;l=l+16|0;f=b;c[f>>2]=d;c[f+4>>2]=e;sr(a,62414,f);l=b;return}function nd(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0.0,v=0.0,w=0.0;s=l;l=l+144|0;r=s+128|0;q=s+112|0;p=s+72|0;o=s+56|0;n=s+40|0;m=s+32|0;e=s+24|0;b=s+8|0;d=s;f=c[a+456>>2]|0;j=c[a+460>>2]|0;g=c[a+464>>2]|0;i=c[a+468>>2]|0;k=a+12|0;t=(c[(c[k>>2]|0)+28>>2]|0)+1|0;c[d>>2]=t;c[d+4>>2]=t;sr(a,62041,d);if(!(c[(c[k>>2]|0)+20>>2]|0)){c[b>>2]=f;c[b+4>>2]=j;c[b+8>>2]=g;c[b+12>>2]=i;sr(a,62058,b)}d=a+360|0;c[e>>2]=c[d>>2]|0?62092:62102;sr(a,62111,e);b=a+64|0;if((c[b>>2]|0)==1){c[m>>2]=g;c[m+4>>2]=i;sr(a,62136,m)}m=c[a+200>>2]|0;t=c[a+204>>2]|0;c[n>>2]=c[a+196>>2];c[n+4>>2]=m;c[n+8>>2]=t;sr(a,62175,n);if(!(c[(c[k>>2]|0)+20>>2]|0)){c[o>>2]=f;c[o+4>>2]=j;c[o+8>>2]=g-f;c[o+12>>2]=i-j;sr(a,62195,o)}w=+h[a+496>>3];t=c[d>>2]|0;v=+h[a+504>>3];u=+h[a+512>>3];h[p>>3]=+h[a+488>>3];h[p+8>>3]=w;c[p+16>>2]=t;h[p+24>>3]=v;h[p+32>>3]=u;sr(a,62235,p);if((c[b>>2]|0)==1){if((g|0)>14399|(i|0)>14399){t=c[(c[k>>2]|0)+16>>2]|0;c[q>>2]=g;c[q+4>>2]=i;c[q+8>>2]=14400;hb[t&31](62278,q)}c[r>>2]=f;c[r+4>>2]=j;c[r+8>>2]=g;c[r+12>>2]=i;sr(a,62373,r)}l=s;return}function od(a){a=a|0;var b=0,d=0,e=0;e=l;l=l+16|0;d=e;b=a+12|0;if(c[(c[b>>2]|0)+20>>2]|0){mr(a,61965)|0;ey(a,0,(c[(c[b>>2]|0)+20>>2]|0)+4|0)}mr(a,61982)|0;mr(a,62009)|0;c[d>>2]=c[(c[b>>2]|0)+28>>2];sr(a,62024,d);l=e;return}function pd(a){a=a|0;var b=0,d=0;b=l;l=l+16|0;d=b;c[d>>2]=Dn(c[(c[a+16>>2]|0)+8>>2]|0)|0;sr(a,61958,d);mr(a,61951)|0;l=b;return}function qd(a){a=a|0;mr(a,77394)|0;return}function rd(a){a=a|0;mr(a,61951)|0;return}function sd(a){a=a|0;mr(a,77394)|0;return}function td(a){a=a|0;mr(a,61951)|0;return}function ud(a){a=a|0;mr(a,77394)|0;return}function vd(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0;e=l;l=l+16|0;d=e;if(b|0?(g=(c[a+16>>2]|0)+272|0,c[g>>2]|0):0){mr(a,61847)|0;wr(a,c[g>>2]|0,2);mr(a,61858)|0;c[d>>2]=hy(b,c[41906]|0)|0;sr(a,61862,d)}l=e;return}function wd(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0,j=0,k=0,m=0,n=0;m=l;l=l+32|0;j=m+8|0;k=m;f=c[b+16>>2]|0;if(!(+h[f+40>>3]<.5)){Dd(b,f+16|0);i=e+4|0;tr(b,+h[(c[i>>2]|0)+16>>3]);c[j>>2]=c[c[i>>2]>>2];sr(b,61806,j);i=hy(c[e>>2]|0,c[41906]|0)|0;switch(a[e+48>>0]|0){case 114:{n=e+32|0;f=n;g=+h[n>>3];break}case 108:{f=e+32|0;g=0.0;break}default:{n=e+32|0;f=n;g=+h[n>>3]*.5}}h[d>>3]=+h[d>>3]-g;n=d+8|0;h[n>>3]=+h[n>>3]+ +h[e+24>>3];c[j>>2]=c[d>>2];c[j+4>>2]=c[d+4>>2];c[j+8>>2]=c[d+8>>2];c[j+12>>2]=c[d+12>>2];vr(b,j);mr(b,61821)|0;tr(b,+h[f>>3]);c[k>>2]=i;sr(b,61830,k)}l=m;return}function xd(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;g=l;l=l+32|0;f=g;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];h[f+16>>3]=+h[b+16>>3]-+h[b>>3];h[f+24>>3]=+h[b+24>>3]-+h[b+8>>3];b=a+16|0;if(d|0?(e=c[b>>2]|0,+h[e+80>>3]>.5):0){Dd(a,e+56|0);wr(a,f,2);mr(a,61764)|0}if(+h[(c[b>>2]|0)+40>>3]>.5){Ed(a);Dd(a,(c[b>>2]|0)+16|0);wr(a,f,2);mr(a,61784)|0}l=g;return}function yd(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0;j=l;l=l+16|0;i=j;g=a+16|0;if(e|0?(f=c[g>>2]|0,+h[f+80>>3]>.5):0){Dd(a,f+56|0);mr(a,61685)|0;c[i>>2]=c[b>>2];c[i+4>>2]=c[b+4>>2];c[i+8>>2]=c[b+8>>2];c[i+12>>2]=c[b+12>>2];vr(a,i);mr(a,61694)|0;e=1;while(1){if((e|0)>=(d|0))break;f=b+(e<<4)|0;c[i>>2]=c[f>>2];c[i+4>>2]=c[f+4>>2];c[i+8>>2]=c[f+8>>2];c[i+12>>2]=c[f+12>>2];vr(a,i);mr(a,61703)|0;e=e+1|0}mr(a,61730)|0}if(+h[(c[g>>2]|0)+40>>3]>.5){Ed(a);Dd(a,(c[g>>2]|0)+16|0);mr(a,61685)|0;c[i>>2]=c[b>>2];c[i+4>>2]=c[b+4>>2];c[i+8>>2]=c[b+8>>2];c[i+12>>2]=c[b+12>>2];vr(a,i);mr(a,61694)|0;e=1;while(1){if((e|0)>=(d|0))break;g=b+(e<<4)|0;c[i>>2]=c[g>>2];c[i+4>>2]=c[g+4>>2];c[i+8>>2]=c[g+8>>2];c[i+12>>2]=c[g+12>>2];vr(a,i);mr(a,61703)|0;e=e+1|0}mr(a,61746)|0}l=j;return}function zd(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0;k=l;l=l+16|0;f=k;i=a+16|0;if(g|0?(j=c[i>>2]|0,+h[j+80>>3]>.5):0){Dd(a,j+56|0);mr(a,61685)|0;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];vr(a,f);mr(a,61694)|0;e=1;while(1){if((e|0)>=(d|0))break;wr(a,b+(e<<4)|0,3);mr(a,61720)|0;e=e+3|0}mr(a,61730)|0}if(+h[(c[i>>2]|0)+40>>3]>.5){Ed(a);Dd(a,(c[i>>2]|0)+16|0);mr(a,61685)|0;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];vr(a,f);mr(a,61694)|0;e=1;while(1){if((e|0)>=(d|0))break;wr(a,b+(e<<4)|0,3);mr(a,61720)|0;e=e+3|0}mr(a,61712)|0}l=k;return}function Ad(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0;g=l;l=l+16|0;f=g;e=a+16|0;if(+h[(c[e>>2]|0)+40>>3]>.5){Ed(a);Dd(a,(c[e>>2]|0)+16|0);mr(a,61685)|0;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];vr(a,f);mr(a,61694)|0;e=1;while(1){if((e|0)>=(d|0))break;i=b+(e<<4)|0;c[f>>2]=c[i>>2];c[f+4>>2]=c[i+4>>2];c[f+8>>2]=c[i+8>>2];c[f+12>>2]=c[i+12>>2];vr(a,f);mr(a,61703)|0;e=e+1|0}mr(a,61712)|0}l=g;return}function Bd(a,b){a=a|0;b=b|0;mr(a,61682)|0;mr(a,b)|0;mr(a,134901)|0;return}function Cd(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+32|0;g=n+16|0;m=n+8|0;k=n;i=a+16|0;if(f|0?(j=c[i>>2]|0,+h[j+80>>3]>.5):0){Dd(a,j+56|0);mr(a,77289)|0;wr(a,d,e);mr(a,87638)|0;c[g>>2]=c[d>>2];c[g+4>>2]=c[d+4>>2];c[g+8>>2]=c[d+8>>2];c[g+12>>2]=c[d+12>>2];vr(a,g);c[k>>2]=e;c[k+4>>2]=b;sr(a,61599,k)}if(+h[(c[i>>2]|0)+40>>3]>.5){Ed(a);Dd(a,(c[i>>2]|0)+16|0);mr(a,77289)|0;wr(a,d,e);mr(a,87638)|0;c[g>>2]=c[d>>2];c[g+4>>2]=c[d+4>>2];c[g+8>>2]=c[d+8>>2];c[g+12>>2]=c[d+12>>2];vr(a,g);c[m>>2]=e;c[m+4>>2]=b;sr(a,61615,m)}l=n;return}function Dd(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0.0,i=0.0;f=l;l=l+32|0;e=f;if(b|0){switch(c[(c[a+16>>2]|0)+4>>2]|0){case 1:case 0:{d=96286;break}case 2:{d=96273;break}case 3:{d=96237;break}default:d=61651}i=+h[b+8>>3];g=+h[b+16>>3];h[e>>3]=+h[b>>3];h[e+8>>3]=i;h[e+16>>3]=g;c[e+24>>2]=d;sr(a,61658,e)}l=f;return}function Ed(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0;m=l;l=l+16|0;k=m+8|0;j=m;g=b+16|0;i=c[g>>2]|0;d=c[i+160>>2]|0;tr(b,+h[i+152>>3]);mr(b,61632)|0;while(1){if(!d)break;i=d+4|0;f=c[d>>2]|0;if(!f)break;if(!(xJ(f,95910)|0)){d=i;continue}else e=f;while(1){d=e+1|0;if(!(a[e>>0]|0))break;else e=d}a:while(1){if(!(a[d>>0]|0))break;c[j>>2]=d;sr(b,61647,j);while(1){e=d+1|0;if(!(a[d>>0]|0)){d=e;continue a}else d=e}}if(!(xJ(f,119127)|0))h[(c[g>>2]|0)+152>>3]=0.0;c[k>>2]=f;sr(b,81633,k);d=i}l=m;return}function Fd(b){b=b|0;var d=0;mr(b,67671)|0;d=Im(c[(c[b>>2]|0)+168>>2]|0,67727)|0;if(d|0?a[d>>0]|0:0){mr(b,67738)|0;mr(b,d)|0;mr(b,67762)|0}mr(b,67783)|0;mr(b,67831)|0;mr(b,67885)|0;d=b+12|0;mr(b,rw(c[c[c[d>>2]>>2]>>2]|0)|0)|0;mr(b,71014)|0;mr(b,rw(c[(c[c[d>>2]>>2]|0)+4>>2]|0)|0)|0;mr(b,71024)|0;mr(b,rw(c[(c[c[d>>2]>>2]|0)+8>>2]|0)|0)|0;mr(b,68267)|0;mr(b,68291)|0;return}function Gd(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0.0,k=0.0,m=0.0;i=l;l=l+48|0;g=i+16|0;f=i+8|0;e=i;d=c[b+16>>2]|0;mr(b,67506)|0;d=d+8|0;if(a[(Dn(c[d>>2]|0)|0)>>0]|0){mr(b,68230)|0;mr(b,rw(Dn(c[d>>2]|0)|0)|0)|0}c[e>>2]=O(c[b+168>>2]|0,c[b+164>>2]|0)|0;sr(b,67511,e);e=c[b+452>>2]|0;c[f>>2]=c[b+448>>2];c[f+4>>2]=e;sr(b,67527,f);m=+h[b+392>>3];k=+h[b+400>>3];j=+h[b+408>>3];h[g>>3]=+h[b+384>>3];h[g+8>>3]=m;h[g+16>>3]=k;h[g+24>>3]=j;sr(b,67560,g);mr(b,67591)|0;mr(b,67627)|0;mr(b,69221)|0;l=i;return}function Hd(a){a=a|0;mr(a,67498)|0;return}function Id(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;de(a,b,0,86583,c[(c[a+16>>2]|0)+8>>2]|0);mr(a,69221)|0;return}function Jd(a){a=a|0;mr(a,67346)|0;return}function Kd(b){b=b|0;var d=0,e=0,f=0,g=0;e=l;l=l+16|0;f=e;g=c[b+16>>2]|0;d=g+8|0;de(b,c[g+212>>2]|0,0,96286,c[d>>2]|0);mr(b,67450)|0;tr(b,+h[b+488>>3]);mr(b,87638)|0;tr(b,+h[b+496>>3]);c[f>>2]=0-(c[b+360>>2]|0);sr(b,67469,f);tr(b,+h[b+504>>3]);mr(b,87638)|0;tr(b,-+h[b+512>>3]);mr(b,67493)|0;if(a[(Dn(c[d>>2]|0)|0)>>0]|0){mr(b,67402)|0;mr(b,rw(Dn(c[d>>2]|0)|0)|0)|0;mr(b,67410)|0}l=e;return}function Ld(a){a=a|0;mr(a,67346)|0;return}function Md(a){a=a|0;var b=0,d=0;d=c[a+16>>2]|0;b=d+8|0;de(a,c[d+212>>2]|0,0,93039,c[b>>2]|0);mr(a,69221)|0;mr(a,67402)|0;mr(a,rw(Dn(c[b>>2]|0)|0)|0)|0;mr(a,67410)|0;return}function Nd(a){a=a|0;mr(a,67346)|0;return}function Od(a){a=a|0;var b=0,d=0,e=0;d=c[a+16>>2]|0;b=c[a+160>>2]|0;if((b|0)>1)b=c[(c[(c[a>>2]|0)+308>>2]|0)+(b<<2)>>2]|0;else b=0;e=d+8|0;de(a,c[d+212>>2]|0,b,96273,c[e>>2]|0);mr(a,69221)|0;mr(a,67402)|0;mr(a,rw(Dn(c[e>>2]|0)|0)|0)|0;mr(a,67410)|0;return}function Pd(a){a=a|0;mr(a,67346)|0;return}function Qd(a){a=a|0;var b=0,d=0;d=c[a+16>>2]|0;b=d+8|0;de(a,c[d+212>>2]|0,0,96237,c[b>>2]|0);mr(a,69221)|0;mr(a,67402)|0;b=qw(87129,c[b>>2]|0)|0;mr(a,rw(b)|0)|0;_I(b);mr(a,67410)|0;return}function Rd(a){a=a|0;mr(a,67346)|0;return}function Sd(b,c,d,e,f){b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;mr(b,67352)|0;if(f|0){mr(b,67355)|0;mr(b,rw(f)|0)|0;mr(b,83714)|0}mr(b,67245)|0;mr(b,69182)|0;if(c|0?a[c>>0]|0:0){mr(b,67363)|0;mr(b,c)|0;mr(b,83714)|0}if(d|0?a[d>>0]|0:0){mr(b,67377)|0;mr(b,sw(d,1)|0)|0;mr(b,83714)|0}if(e|0?a[e>>0]|0:0){mr(b,67392)|0;mr(b,rw(e)|0)|0;mr(b,83714)|0}mr(b,69221)|0;return}function Td(a){a=a|0;mr(a,69176)|0;mr(a,67346)|0;return}function Ud(e,f,g){e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0.0,H=0,I=0,J=0,K=0,L=0,M=0;M=l;l=l+176|0;L=M+160|0;K=M+152|0;F=M+136|0;J=M+128|0;E=M+120|0;D=M+112|0;C=M+104|0;B=M+96|0;A=M+88|0;y=M+80|0;w=M+72|0;v=M+64|0;u=M+56|0;t=M+48|0;i=M+40|0;q=M+32|0;s=M+24|0;r=M+16|0;p=M+8|0;o=M;I=c[e+16>>2]|0;mr(e,66877)|0;switch(a[g+48>>0]|0){case 108:{mr(e,66883)|0;break}case 114:{mr(e,66904)|0;break}default:mr(e,66923)|0}H=f+8|0;G=+h[H>>3]+ +h[g+24>>3];h[H>>3]=G;H=I+260|0;if(!(b[H>>1]&512)){mr(e,66945)|0;tr(e,+h[f>>3]);mr(e,66950)|0;tr(e,-G);mr(e,83714)|0}x=g+4|0;f=c[x>>2]|0;n=c[f+8>>2]|0;if(n){switch(c[(c[(c[(c[e>>2]|0)+168>>2]|0)+16>>2]|0)+244>>2]|0){case 1:{m=n;f=n+16|0;i=n+8|0;break}case 2:{m=n+24|0;f=n+32|0;i=n+28|0;break}default:{m=n+4|0;f=n+16|0;i=n+8|0}}j=c[f>>2]|0;f=c[i>>2]|0;k=c[n+12>>2]|0;c[o>>2]=c[m>>2];sr(e,66956,o);i=c[n+24>>2]|0;if(i|0){c[p>>2]=i;sr(e,66973,p)}mr(e,83714)|0;if(f|0){c[r>>2]=f;sr(e,66977,r)}if(k|0){c[s>>2]=k;sr(e,66995,s)}if(!j)j=0;else{c[q>>2]=j;sr(e,67014,q)}}else{c[i>>2]=c[f>>2];sr(e,67031,i);j=0;f=0}i=c[x>>2]|0;if(i|0?(z=c[i+24>>2]|0,z&127|0):0){if(!((f|0)!=0|(z&1|0)==0))sr(e,67049,t);if(!((j|0)!=0|(z&2|0)==0))sr(e,67069,u);if(z&100|0){sr(e,67090,v);if(!(z&4))f=0;else{sr(e,91030,w);f=1}if(z&64){c[y>>2]=f|0?86030:174181;sr(e,67109,y);f=1}if(z&32|0){c[A>>2]=f|0?86030:174181;sr(e,67120,A)}sr(e,83714,B)}if(z&8|0)sr(e,67135,C);if(z&16|0)sr(e,67159,D)}h[E>>3]=+h[(c[x>>2]|0)+16>>3];sr(e,67181,E);f=I+16|0;switch(c[I+48>>2]|0){case 5:{f=c[f>>2]|0;if(iK(f,122106)|0){c[J>>2]=f;sr(e,67199,J)}break}case 1:{E=d[f+1>>0]|0;J=d[f+2>>0]|0;c[F>>2]=d[f>>0];c[F+4>>2]=E;c[F+8>>2]=J;sr(e,67210,F);break}default:ma(123205,66391,486,67232)}mr(e,67245)|0;if(b[H>>1]&512){c[K>>2]=rw(c[I+212>>2]|0)|0;sr(e,67247,K);mr(e,67296)|0;tr(e,-G);mr(e,67314)|0}mr(e,sw(c[g>>2]|0,1)|0)|0;if(b[H>>1]&512)sr(e,67317,L);mr(e,67337)|0;l=M;return}function Vd(a,b,c){a=a|0;b=b|0;c=c|0;var d=0;switch(c|0){case 2:{d=ae(a,b,2)|0;break}case 3:{d=be(a)|0;break}default:d=0}mr(a,66841)|0;_d(a,c,d);mr(a,66850)|0;tr(a,+h[b>>3]);mr(a,66856)|0;c=b+8|0;tr(a,-+h[c>>3]);mr(a,66863)|0;tr(a,+h[b+16>>3]-+h[b>>3]);mr(a,66870)|0;tr(a,+h[b+24>>3]-+h[c>>3]);mr(a,66257)|0;return}function Wd(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0;switch(d|0){case 2:{e=ae(a,b,c)|0;break}case 3:{e=be(a)|0;break}default:e=0}mr(a,66832)|0;_d(a,d,e);mr(a,66247)|0;e=0;while(1){if((e|0)>=(c|0))break;tr(a,+h[b+(e<<4)>>3]);mr(a,86030)|0;tr(a,-+h[b+(e<<4)+8>>3]);mr(a,87638)|0;e=e+1|0}tr(a,+h[b>>3]);mr(a,86030)|0;tr(a,-+h[b+8>>3]);mr(a,66257)|0;return}function Xd(a,d,e,f,g,h){a=a|0;d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;g=c[a+16>>2]|0;switch(h|0){case 2:{f=ae(a,d,e)|0;break}case 3:{f=be(a)|0;break}default:f=0}mr(a,66427)|0;if(b[g+260>>1]&512){mr(a,66433)|0;mr(a,rw(c[g+212>>2]|0)|0)|0;mr(a,66439)|0}_d(a,h,f);mr(a,66444)|0;ce(a,d,e);mr(a,66257)|0;return}function Yd(a,b,c){a=a|0;b=b|0;c=c|0;var d=0;mr(a,66237)|0;_d(a,0,0);mr(a,66247)|0;d=0;while(1){if((d|0)>=(c|0))break;tr(a,+h[b+(d<<4)>>3]);mr(a,86030)|0;tr(a,-+h[b+(d<<4)+8>>3]);mr(a,87638)|0;d=d+1|0}mr(a,66257)|0;return}function Zd(a,b){a=a|0;b=b|0;mr(a,66231)|0;mr(a,rw(b)|0)|0;mr(a,68291)|0;return}function _d(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;q=l;l=l+96|0;k=q+48|0;p=q+40|0;n=q+32|0;o=q+24|0;j=q+16|0;g=q+8|0;f=q;m=c[b+16>>2]|0;mr(b,66262)|0;a:do switch(d|0){case 2:{c[f>>2]=e;sr(b,66270,f);break}case 3:{c[g>>2]=e;sr(b,66281,g);break}case 0:{mr(b,120501)|0;break}default:{d=m+56|0;f=k;g=d;i=f+40|0;do{c[f>>2]=c[g>>2];f=f+4|0;g=g+4|0}while((f|0)<(i|0));$d(b,k);if((c[m+88>>2]|0)==1){d=a[d+3>>0]|0;switch(d<<24>>24){case -1:case 0:break a;default:{}}h[j>>3]=+(d&255)*.00392156862745098;sr(b,66292,j)}}}while(0);mr(b,66311)|0;e=m+16|0;f=k;g=e;i=f+40|0;do{c[f>>2]=c[g>>2];f=f+4|0;g=g+4|0}while((f|0)<(i|0));$d(b,k);d=m+152|0;if(+h[d>>3]!=1.0){mr(b,66322)|0;tr(b,+h[d>>3])}switch(c[m+144>>2]|0){case 1:{c[o>>2]=66362;sr(b,66339,o);break}case 2:{c[n>>2]=66366;sr(b,66339,n);break}default:{}}b:do if((c[m+48>>2]|0)==1){d=a[e+3>>0]|0;switch(d<<24>>24){case -1:case 0:break b;default:{}}h[p>>3]=+(d&255)*.00392156862745098;sr(b,66370,p)}while(0);mr(b,83714)|0;l=q;return}function $d(b,e){b=b|0;e=e|0;var f=0,g=0,h=0,i=0;g=l;l=l+16|0;f=g;a:do switch(c[e+32>>2]|0){case 5:{mr(b,c[e>>2]|0)|0;break}case 1:if(!(a[e+3>>0]|0)){mr(b,122171)|0;break a}else{i=d[e+1>>0]|0;h=d[e+2>>0]|0;c[f>>2]=d[e>>0];c[f+4>>2]=i;c[f+8>>2]=h;sr(b,68547,f);break a}default:ma(123205,66391,117,66411)}while(0);l=g;return}function ae(b,d,e){b=b|0;d=d|0;e=e|0;var f=0.0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;t=l;l=l+112|0;o=t+64|0;r=t+56|0;n=t+48|0;m=t+40|0;i=t+32|0;k=t;q=c[41908]|0;c[41908]=q+1;p=c[b+16>>2]|0;f=+(c[p+136>>2]|0)*.017453292519943295;c[k>>2]=0;c[k+4>>2]=0;c[k+8>>2]=0;c[k+12>>2]=0;c[k+16>>2]=0;c[k+20>>2]=0;c[k+24>>2]=0;c[k+28>>2]=0;JB(d,k,e,f,0);c[o>>2]=q;sr(b,66664,o);mr(b,66729)|0;tr(b,+h[k>>3]);mr(b,66734)|0;tr(b,+h[k+8>>3]);mr(b,66741)|0;tr(b,+h[k+16>>3]);mr(b,66748)|0;tr(b,+h[k+24>>3]);mr(b,66755)|0;k=p+140|0;f=+g[k>>2];if(f>0.0){h[i>>3]=f+-.001;sr(b,66760,i)}else mr(b,66536)|0;d=p+56|0;e=o;i=d;j=e+40|0;do{c[e>>2]=c[i>>2];e=e+4|0;i=i+4|0}while((e|0)<(j|0));$d(b,o);mr(b,66572)|0;a:do if((c[p+88>>2]|0)==1){d=a[d+3>>0]|0;switch(d<<24>>24){case -1:case 0:{s=7;break a}default:{}}h[m>>3]=+(d&255)*.00392156862745098;sr(b,84631,m)}else s=7;while(0);if((s|0)==7)mr(b,66587)|0;mr(b,66590)|0;f=+g[k>>2];if(f>0.0){h[n>>3]=f;sr(b,66760,n)}else mr(b,66596)|0;d=p+96|0;e=o;i=d;j=e+40|0;do{c[e>>2]=c[i>>2];e=e+4|0;i=i+4|0}while((e|0)<(j|0));$d(b,o);mr(b,66572)|0;b:do if((c[p+128>>2]|0)==1){d=a[d+3>>0]|0;switch(d<<24>>24){case -1:case 0:{s=14;break b}default:{}}h[r>>3]=+(d&255)*.00392156862745098;sr(b,84631,r)}else s=14;while(0);if((s|0)==14)mr(b,66587)|0;mr(b,66800)|0;l=t;return q|0}function be(b){b=b|0;var d=0,e=0.0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0;q=l;l=l+64|0;k=q+16|0;o=q+8|0;j=q;n=c[41907]|0;c[41907]=n+1;m=c[b+16>>2]|0;r=+(c[m+136>>2]|0)*.017453292519943295;e=r;if(r==0.0){f=50;d=50}else{f=~~((+E(+e)+1.0)*50.0);d=~~((1.0-+F(+e))*50.0)}c[k>>2]=n;c[k+4>>2]=f;c[k+8>>2]=d;sr(b,66452,k);mr(b,66536)|0;d=m+56|0;f=k;g=d;i=f+40|0;do{c[f>>2]=c[g>>2];f=f+4|0;g=g+4|0}while((f|0)<(i|0));$d(b,k);mr(b,66572)|0;a:do if((c[m+88>>2]|0)==1){d=a[d+3>>0]|0;switch(d<<24>>24){case -1:case 0:{p=6;break a}default:{}}h[j>>3]=+(d&255)*.00392156862745098;sr(b,84631,j)}else p=6;while(0);if((p|0)==6)mr(b,66587)|0;mr(b,66590)|0;mr(b,66596)|0;d=m+96|0;f=k;g=d;i=f+40|0;do{c[f>>2]=c[g>>2];f=f+4|0;g=g+4|0}while((f|0)<(i|0));$d(b,k);mr(b,66572)|0;b:do if((c[m+128>>2]|0)==1){d=a[d+3>>0]|0;switch(d<<24>>24){case -1:case 0:{p=10;break b}default:{}}h[o>>3]=+(d&255)*.00392156862745098;sr(b,84631,o)}else p=10;while(0);if((p|0)==10)mr(b,66587)|0;mr(b,66632)|0;l=q;return n|0}function ce(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0;i=l;l=l+16|0;g=i;e=77;f=0;while(1){if((f|0)>=(d|0))break;c[g>>2]=e;sr(a,66449,g);tr(a,+h[b+(f<<4)>>3]);mr(a,86030)|0;tr(a,-+h[b+(f<<4)+8>>3]);e=(f|0)==0?67:32;f=f+1|0}l=i;return}function de(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0;j=l;l=l+16|0;i=j+8|0;h=j;mr(b,67420)|0;mr(b,rw(d)|0)|0;if(e|0){c[h>>2]=rw(e)|0;sr(b,67428,h)}c[i>>2]=f;sr(b,67432,i);d=Im(g,67444)|0;if(d|0?a[d>>0]|0:0){mr(b,87638)|0;mr(b,rw(d)|0)|0}mr(b,83714)|0;l=j;return}function ee(a){a=a|0;var b=0;mr(a,68251)|0;b=a+12|0;mr(a,oe(c[c[c[b>>2]>>2]>>2]|0)|0)|0;mr(a,71014)|0;mr(a,oe(c[(c[c[b>>2]>>2]|0)+4>>2]|0)|0)|0;mr(a,71024)|0;mr(a,oe(c[(c[c[b>>2]>>2]|0)+8>>2]|0)|0)|0;mr(a,68267)|0;return}function fe(b){b=b|0;var d=0,e=0,f=0;f=l;l=l+16|0;e=f;d=c[b+16>>2]|0;mr(b,68228)|0;d=d+8|0;if(a[(Dn(c[d>>2]|0)|0)>>0]|0){mr(b,68230)|0;mr(b,oe(Dn(c[d>>2]|0)|0)|0)|0}c[e>>2]=O(c[b+168>>2]|0,c[b+164>>2]|0)|0;sr(b,68239,e);c[41909]=0;l=f;return}function ge(a){a=a|0;c[41909]=1;return}function he(a){a=a|0;c[41909]=-1;return}function ie(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+48|0;i=n+8|0;m=n;f=c[b+16>>2]|0;if(c[f+144>>2]|0?(k=e+4|0,j=~~(+h[b+352>>3]*+h[(c[k>>2]|0)+16>>3]),j|0):0){pe(b);mr(b,68167)|0;g=d+8|0;h[g>>3]=+h[g>>3]-+(j|0)*.55;c[i>>2]=c[d>>2];c[i+4>>2]=c[d+4>>2];c[i+8>>2]=c[d+8>>2];c[i+12>>2]=c[d+12>>2];vr(b,i);mr(b,68181)|0;mr(b,c[e>>2]|0)|0;mr(b,68190)|0;mr(b,67988)|0;g=i;d=f+16|0;f=g+40|0;do{c[g>>2]=c[d>>2];g=g+4|0;d=d+4|0}while((g|0)<(f|0));qe(b,i);mr(b,68192)|0;i=c[k>>2]|0;k=c[i+8>>2]|0;k=c[((k|0)==0?i:k+4|0)>>2]|0;mr(b,83714)|0;mr(b,k)|0;mr(b,83714)|0;c[m>>2]=j;sr(b,68201,m);switch(a[e+48>>0]|0){case 108:{mr(b,68206)|0;break}case 114:{mr(b,68217)|0;break}default:{}}re(b);mr(b,134901)|0}l=n;return}function je(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0.0,m=0.0,n=0.0;j=l;l=l+48|0;f=j;g=c[a+16>>2]|0;i=g+144|0;if(c[i>>2]|0){n=+h[b>>3];m=+h[b+24>>3];e=b+8|0;k=+h[e>>3];h[b>>3]=n-+h[b+16>>3]+n;h[e>>3]=k-m+k;pe(a);mr(a,68153)|0;wr(a,b,2);mr(a,67988)|0;do if(!d)if(!(c[41909]|0)){mr(a,82272)|0;break}else{mr(a,121990)|0;break}else{b=f;d=g+56|0;e=b+40|0;do{c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}while((b|0)<(e|0));qe(a,f)}while(0);if((c[41909]|0)==1)c[41909]=0;mr(a,68099)|0;tr(a,+h[g+152>>3]);mr(a,68142)|0;b=f;d=g+16|0;e=b+40|0;do{c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}while((b|0)<(e|0));qe(a,f);b=c[i>>2]|0;if((b|0)==1){mr(a,67996)|0;b=c[i>>2]|0}if((b|0)==2)mr(a,68005)|0;re(a);mr(a,134901)|0}l=j;return}function ke(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0;j=l;l=l+48|0;f=j;g=c[a+16>>2]|0;i=g+144|0;if(c[i>>2]|0){pe(a);mr(a,68125)|0;wr(a,b,d);mr(a,67988)|0;do if(!e)if(!(c[41909]|0)){mr(a,82272)|0;break}else{mr(a,121990)|0;break}else{b=f;d=g+56|0;e=b+40|0;do{c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}while((b|0)<(e|0));qe(a,f)}while(0);if((c[41909]|0)==1)c[41909]=0;mr(a,68099)|0;tr(a,+h[g+152>>3]);mr(a,68142)|0;b=f;d=g+16|0;e=b+40|0;do{c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}while((b|0)<(e|0));qe(a,f);b=c[i>>2]|0;if((b|0)==1){mr(a,67996)|0;b=c[i>>2]|0}if((b|0)==2)mr(a,68005)|0;re(a);mr(a,134901)|0}l=j;return}function le(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0;m=l;l=l+48|0;i=m;j=c[a+16>>2]|0;k=j+144|0;if(c[k>>2]|0){pe(a);mr(a,67974)|0;wr(a,b,d);mr(a,67988)|0;e=i;f=j+16|0;g=e+40|0;do{c[e>>2]=c[f>>2];e=e+4|0;f=f+4|0}while((e|0)<(g|0));qe(a,i);mr(a,68099)|0;tr(a,+h[j+152>>3]);e=c[k>>2]|0;if((e|0)==1){mr(a,67996)|0;e=c[k>>2]|0}if((e|0)==2)mr(a,68005)|0;mr(a,68108)|0;re(a);mr(a,134901)|0}l=m;return}function me(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;i=l;l=l+48|0;g=i;e=c[a+16>>2]|0;h=e+144|0;if(c[h>>2]|0){pe(a);mr(a,67974)|0;wr(a,b,d);mr(a,67988)|0;f=g;b=e+16|0;d=f+40|0;do{c[f>>2]=c[b>>2];f=f+4|0;b=b+4|0}while((f|0)<(d|0));qe(a,g);b=c[h>>2]|0;if((b|0)==1){mr(a,67996)|0;b=c[h>>2]|0}if((b|0)==2)mr(a,68005)|0;re(a);mr(a,134901)|0}l=i;return}function ne(a,b){a=a|0;b=b|0;mr(a,67971)|0;mr(a,oe(b)|0)|0;mr(a,134901)|0;return}function oe(a){a=a|0;return a|0}function pe(b){b=b|0;if(!(a[b+144>>0]|0))mr(b,68096)|0;else mr(b,c[b+148>>2]|0)|0;return}function qe(b,e){b=b|0;e=e|0;var f=0,g=0,h=0,i=0;g=l;l=l+16|0;f=g;a:do switch(c[e+32>>2]|0){case 5:{mr(b,c[e>>2]|0)|0;break}case 1:if(!(a[e+3>>0]|0)){mr(b,82272)|0;break a}else{i=d[e+1>>0]|0;h=d[e+2>>0]|0;c[f>>2]=d[e>>0];c[f+4>>2]=i;c[f+8>>2]=h;sr(b,68547,f);break a}default:ma(123205,68014,49,68078)}while(0);l=g;return}function re(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;h=l;l=l+16|0;g=h;f=c[a+16>>2]|0;switch(c[f+12>>2]|0){case 8:{b=1;d=96273;e=f+8|0;break}case 10:{b=0;d=96273;e=f+8|0;break}case 3:case 2:case 9:{b=1;d=96237;e=f+8|0;break}case 7:case 6:case 11:{b=0;d=96237;e=f+8|0;break}case 0:{b=1;d=96286;e=f+8|0;break}case 4:{b=0;d=68050;e=f+8|0;break}case 1:{b=1;d=96286;e=f+8|0;break}case 5:{b=0;d=96286;e=f+8|0;break}default:ma(123205,68014,106,68033)}f=c[(c[e>>2]|0)+8>>2]|0;c[g>>2]=b;c[g+4>>2]=d;c[g+8>>2]=f;sr(a,68062,g);l=h;return}function se(a){a=a|0;var b=0;mr(a,70986)|0;mr(a,70994)|0;b=a+12|0;mr(a,De(c[c[c[b>>2]>>2]>>2]|0)|0)|0;mr(a,71014)|0;mr(a,De(c[(c[c[b>>2]>>2]|0)+4>>2]|0)|0)|0;mr(a,71024)|0;mr(a,De(c[(c[c[b>>2]>>2]|0)+8>>2]|0)|0)|0;mr(a,71027)|0;return}function te(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0;j=l;l=l+32|0;i=j+24|0;g=j+16|0;f=j+8|0;e=j;d=c[b+16>>2]|0;c[41913]=~~(+h[b+232>>3]-+h[b+216>>3]);c[41912]=~~(+h[b+224>>3]-+h[b+208>>3]);mr(b,69673)|0;mr(b,69680)|0;d=Dn(c[d+8>>2]|0)|0;if(a[d>>0]|0){mr(b,69749)|0;mr(b,De(d)|0)|0;mr(b,69757)|0}c[e>>2]=O(c[b+168>>2]|0,c[b+164>>2]|0)|0;sr(b,69766,e);mr(b,69786)|0;mr(b,69821)|0;mr(b,69849)|0;mr(b,69855)|0;mr(b,69898)|0;mr(b,69939)|0;mr(b,69958)|0;mr(b,69975)|0;mr(b,70023)|0;mr(b,70076)|0;mr(b,70152)|0;mr(b,70228)|0;mr(b,70237)|0;mr(b,70260)|0;mr(b,70287)|0;mr(b,70340)|0;mr(b,70362)|0;mr(b,70407)|0;mr(b,70419)|0;mr(b,70429)|0;mr(b,70455)|0;mr(b,70340)|0;mr(b,70507)|0;mr(b,70407)|0;mr(b,70419)|0;mr(b,70551)|0;mr(b,70260)|0;mr(b,70287)|0;mr(b,70340)|0;mr(b,70507)|0;mr(b,70407)|0;mr(b,70419)|0;mr(b,70429)|0;mr(b,70455)|0;mr(b,70340)|0;mr(b,70362)|0;mr(b,70407)|0;mr(b,70419)|0;mr(b,70564)|0;mr(b,70572)|0;mr(b,70578)|0;mr(b,70592)|0;mr(b,70600)|0;mr(b,70633)|0;e=(c[41913]|0)+10|0;c[f>>2]=c[41912];c[f+4>>2]=e;sr(b,70710,f);mr(b,70740)|0;mr(b,70749)|0;mr(b,70807)|0;mr(b,70817)|0;mr(b,70882)|0;f=c[41913]|0;c[g>>2]=c[41912];c[g+4>>2]=f;sr(b,70919,g);g=c[41913]|0;c[i>>2]=c[41912];c[i+4>>2]=g;sr(b,70947,i);l=j;return}function ue(a){a=a|0;mr(a,69224)|0;mr(a,69236)|0;mr(a,69244)|0;mr(a,69307)|0;mr(a,69236)|0;mr(a,69352)|0;mr(a,69401)|0;mr(a,69455)|0;mr(a,69236)|0;mr(a,69555)|0;mr(a,69604)|0;mr(a,69236)|0;mr(a,69656)|0;return}function ve(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0;j=l;l=l+32|0;i=j+16|0;h=j+8|0;g=j;mr(b,69182)|0;if(d|0?a[d>>0]|0:0){c[g>>2]=De(d)|0;sr(b,69185,g)}if(e|0?a[e>>0]|0:0){c[h>>2]=De(e)|0;sr(b,69196,h)}if(f|0?a[f>>0]|0:0){c[i>>2]=De(f)|0;sr(b,69208,i)}mr(b,69221)|0;l=j;return}function we(a){a=a|0;mr(a,69176)|0;return}function xe(b,e,f){b=b|0;e=e|0;f=f|0;var g=0,i=0.0,j=0.0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0.0;A=l;l=l+112|0;y=A+96|0;z=A+88|0;w=A+80|0;q=A+72|0;v=A+64|0;t=A+56|0;s=A+48|0;r=A+40|0;p=A+24|0;o=A+8|0;n=A;x=c[b+16>>2]|0;switch(a[f+48>>0]|0){case 108:{j=+h[e>>3];m=+h[f+32>>3];break}case 114:{m=+h[f+32>>3];j=+h[e>>3]-m;break}default:{m=+h[f+32>>3];j=+h[e>>3]-m*.5}}g=f+40|0;i=+h[g>>3];u=f+4|0;k=+h[(c[u>>2]|0)+16>>3];if(i<k){i=k*1.1+1.0;h[g>>3]=i}B=j+-8.0;k=+((c[41913]|0)>>>0)-+h[e+8>>3]-i+k*.2+(k<12.0?1.4:2.0);sr(b,68838,n);h[o>>3]=B;h[o+8>>3]=k;sr(b,68775,o);h[p>>3]=j+8.0+m-B;h[p+8>>3]=i;sr(b,68799,p);mr(b,68873)|0;mr(b,68907)|0;g=c[u>>2]|0;e=c[g+8>>2]|0;if(e){c[r>>2]=c[e+4>>2];sr(b,68997,r);g=c[e+8>>2]|0;if(g|0){c[s>>2]=g;sr(b,69016,s)}g=c[e+12>>2]|0;if(g|0){c[t>>2]=g;sr(b,69033,t)}g=c[e+16>>2]|0;if(g|0){c[v>>2]=g;sr(b,69051,v)}}else{c[q>>2]=c[g>>2];sr(b,68997,q)}h[w>>3]=+h[(c[u>>2]|0)+16>>3];sr(b,69067,w);g=x+16|0;switch(c[x+48>>2]|0){case 5:{g=c[g>>2]|0;if(iK(g,122106)|0){c[z>>2]=g;sr(b,69087,z)}break}case 1:{x=d[g+1>>0]|0;z=d[g+2>>0]|0;c[y>>2]=d[g>>0];c[y+4>>2]=x;c[y+8>>2]=z;sr(b,69097,y);break}default:ma(123205,68561,438,69118)}mr(b,69131)|0;mr(b,De(c[f>>2]|0)|0)|0;mr(b,69142)|0;mr(b,69165)|0;l=A;return}function ye(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0.0,j=0,k=0.0,m=0.0;e=l;l=l+32|0;f=e+16|0;j=e;mr(a,68739)|0;m=+h[b>>3];i=+h[b+16>>3]-m;k=+h[b+24>>3];g=k-+h[b+8>>3];k=+((c[41913]|0)>>>0)-k;h[j>>3]=m-i;h[j+8>>3]=k;sr(a,68775,j);h[f>>3]=i*2.0;h[f+8>>3]=g*2.0;sr(a,68799,f);He(a,d);mr(a,68621)|0;Fe(a);mr(a,68827)|0;l=e;return}function ze(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0,i=0.0,j=0,k=0,m=0,n=0;m=l;l=l+48|0;k=m+24|0;j=m+8|0;g=m;mr(a,68344)|0;n=c[41913]|0;c[g>>2]=c[41912];c[g+4>>2]=n;sr(a,68597,g);He(a,e);mr(a,68621)|0;Fe(a);mr(a,68624)|0;g=d+-1|0;e=0;while(1){if((e|0)>=(d|0))break;i=+h[b+(e<<4)>>3];f=+((c[41913]|0)>>>0)-+h[b+(e<<4)+8>>3];if(!e){mr(a,68651)|0;h[j>>3]=i;h[j+8>>3]=f;sr(a,68717,j);mr(a,68728)|0}else{h[k>>3]=i;h[k+8>>3]=f;sr(a,68717,k)}if((e|0)==(g|0))mr(a,68731)|0;e=e+1|0}mr(a,68460)|0;l=m;return}function Ae(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0;f=l;l=l+16|0;e=f;mr(a,68344)|0;h=c[41913]|0;c[e>>2]=c[41912];c[e+4>>2]=h;sr(a,68597,e);He(a,g);mr(a,68621)|0;Fe(a);mr(a,68624)|0;Ie(a,b,d);mr(a,68637)|0;l=f;return}function Be(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0.0;k=l;l=l+48|0;j=k+24|0;i=k+8|0;f=k;mr(a,68344)|0;g=c[41913]|0;c[f>>2]=c[41912];c[f+4>>2]=g;sr(a,68381,f);mr(a,68421)|0;f=d+-1|0;g=b+8|0;e=0;while(1){if((e|0)>=(d|0))break;if(!e){mr(a,68433)|0;m=+((c[41913]|0)>>>0)-+h[g>>3];h[i>>3]=+h[b>>3];h[i+8>>3]=m;sr(a,68437,i);mr(a,68448)|0}else{m=+((c[41913]|0)>>>0)-+h[b+(e<<4)+8>>3];h[j>>3]=+h[b+(e<<4)>>3];h[j+8>>3]=m;sr(a,68437,j)}if((e|0)==(f|0))mr(a,68452)|0;e=e+1|0}mr(a,68456)|0;Fe(a);mr(a,68460)|0;l=k;return}function Ce(a,b){a=a|0;b=b|0;mr(a,68279)|0;mr(a,De(b)|0)|0;mr(a,68291)|0;return}function De(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+16|0;e=u;d=c[41910]|0;if(!d){c[41911]=64;d=ww(64)|0;c[41910]=d}s=e+15|0;r=e+14|0;g=0;q=0;o=0;e=0;f=0;a:while(1){n=(o|0)!=0;k=g;p=b;j=e;b:while(1){if(!p){t=32;break a}e=a[p>>0]|0;if(!(e<<24>>24)){t=32;break a}b=c[41911]|0;if((q|0)>(b+-8|0)){d=b<<1;c[41911]=d;d=yw(c[41910]|0,d)|0;c[41910]=d;d=d+q|0;e=a[p>>0]|0}switch(e<<24>>24){case 60:{e=4;b=87187;t=26;break b}case 62:{e=4;b=87170;t=27;break b}case 38:{t=10;break b}case 45:{e=5;b=87181;i=j;break b}default:{}}if(n&e<<24>>24==32){t=12;break}switch(e<<24>>24){case 34:{e=6;b=87150;t=26;break b}case 39:{e=5;b=87175;t=27;break b}default:{}}if(e<<24>>24<0){i=127;b=0}else{e=1;b=p;t=26;break}while(1){g=i&255;h=e&255;if(g>>>0>=h>>>0)break;e=i&h&255;i=g>>>1;b=b+1|0}if((b|0)<=1){g=ON(j|0,f|0,6)|0;g=HN(g|0,z|0,e&255|0,0)|0;f=z;m=k+-1|0;if((k|0)>1){b=m;e=g}else{t=21;break}}else{b=b+-1|0;e=e&255;f=0}k=b;p=p+1|0;j=e}if((t|0)==10){t=0;b=(Ee(p)|0)==0;e=b?5:1;b=b?87164:p;i=j}else if((t|0)==12){t=0;b=(a[o>>0]|0)==32;e=b?6:1;b=b?87157:p;i=j}else if((t|0)==21){t=0;a[s>>0]=59;e=3;h=r;i=g;j=f;while(1){b=MN(i|0,j|0,10,0)|0;g=h+-1|0;a[h>>0]=b|48;b=i;i=LN(i|0,j|0,10,0)|0;f=j;j=z;o=e;e=e+1|0;if((o|0)>11){t=23;break a}if(!(f>>>0>0|(f|0)==0&b>>>0>9))break;else h=g}b=h+-2|0;a[g>>0]=35;a[b>>0]=38;k=m;f=j}else if((t|0)==26){t=0;i=j}else if((t|0)==27){t=0;i=j}h=d+e|0;g=e;while(1){if(!g)break;a[d>>0]=a[b>>0]|0;g=g+-1|0;b=b+1|0;d=d+1|0}g=k;b=p+1|0;q=e+q|0;o=p;d=h;e=i}if((t|0)==23){XL(68297,46,1,c[13918]|0)|0;Ma(1)}else if((t|0)==32){a[d>>0]=0;l=u;return c[41910]|0}return 0}function Ee(b){b=b|0;var c=0,d=0;d=b+1|0;c=a[d>>0]|0;a:do if(c<<24>>24==35){d=b+2|0;c=a[d>>0]|0;switch(c<<24>>24){case 88:case 120:break;default:{b=d;while(1){d=b+1|0;if((c+-48&255)>=10)break a;b=d;c=a[d>>0]|0}}}d=b+3|0;while(1){c=a[d>>0]|0;if((c+-48&255)>=10)switch(c<<24>>24){case 65:case 66:case 67:case 68:case 69:case 70:case 97:case 98:case 99:case 100:case 101:case 102:break;default:break a}d=d+1|0}}else while(1){b=d+1|0;if(((c&-33)+-65&255)>=26)break a;d=b;c=a[b>>0]|0}while(0);return c<<24>>24==59|0}function Fe(a){a=a|0;var b=0.0,d=0,e=0,f=0,g=0,i=0,j=0,k=0;k=l;l=l+48|0;d=k+8|0;j=k;i=c[a+16>>2]|0;mr(a,68472)|0;e=d;f=i+16|0;g=e+40|0;do{c[e>>2]=c[f>>2];e=e+4|0;f=f+4|0}while((e|0)<(g|0));Ge(a,d);b=+h[i+152>>3];if(b!=1.0){h[j>>3]=b;sr(a,68490,j)}switch(c[i+144>>2]|0){case 1:{mr(a,68507)|0;break}case 2:{mr(a,68525)|0;break}default:{}}mr(a,68542)|0;l=k;return}function Ge(b,e){b=b|0;e=e|0;var f=0,g=0,h=0,i=0;g=l;l=l+16|0;f=g;a:do switch(c[e+32>>2]|0){case 5:{mr(b,c[e>>2]|0)|0;break}case 1:if(!(a[e+3>>0]|0)){mr(b,120501)|0;break a}else{i=d[e+1>>0]|0;h=d[e+2>>0]|0;c[f>>2]=d[e>>0];c[f+4>>2]=i;c[f+8>>2]=h;sr(b,68547,f);break a}default:ma(123205,68561,94,68581)}while(0);l=g;return}function He(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;g=l;l=l+48|0;f=g;if(!b)mr(a,68700)|0;else{d=c[a+16>>2]|0;mr(a,68670)|0;b=f;d=d+56|0;e=b+40|0;do{c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}while((b|0)<(e|0));Ge(a,f);mr(a,68697)|0}l=g;return}function Ie(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0.0,k=0.0;i=l;l=l+32|0;g=i;e=68651;f=0;while(1){if((f|0)>=(d|0))break;k=+h[b+(f<<4)>>3];j=+((c[41913]|0)>>>0)-+h[b+(f<<4)+8>>3];c[g>>2]=e;h[g+8>>3]=k;h[g+16>>3]=j;sr(a,68654,g);e=(f|0)==0?68667:174181;f=f+1|0}mr(a,83714)|0;l=i;return}function Je(a){a=a|0;var b=0,d=0,e=0;b=l;l=l+16|0;d=b+8|0;e=b;mr(a,73284)|0;mr(a,73299)|0;mr(a,73338)|0;mr(a,73387)|0;c[e>>2]=122106;c[e+4>>2]=73475;sr(a,73456,e);c[d>>2]=121990;c[d+4>>2]=73481;sr(a,73456,d);l=b;return}function Ke(a){a=a|0;var b=0,d=0,e=0.0,f=0.0,g=0.0,i=0.0,j=0;b=l;l=l+64|0;d=b+8|0;j=b;c[j>>2]=Dn(c[(c[a+16>>2]|0)+8>>2]|0)|0;sr(a,72237,j);i=+h[a+368>>3]*.5*+h[a+488>>3];g=+h[a+376>>3]*.5*+h[a+496>>3];f=+J(+(i*2.0000000949949026e-03))*180.0*.6366197723675814;e=+J(+(g*2.0000000949949026e-03))*180.0*.6366197723675814;h[d>>3]=i;h[d+8>>3]=g;h[d+16>>3]=-500.0;h[d+24>>3]=i;h[d+32>>3]=g;h[d+40>>3]=0.0;h[d+48>>3]=(f>e?f:e)*1.2;sr(a,72259,d);mr(a,72406)|0;mr(a,73236)|0;l=b;return}function Le(a){a=a|0;mr(a,72220)|0;return}function Me(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,h=0;f=l;l=l+16|0;h=f;c[h>>2]=b;c[h+4>>2]=d;c[h+8>>2]=e;sr(a,72190,h);g[41914]=+(O(d,-10)|0);l=f;return}function Ne(a){a=a|0;mr(a,72173)|0;return}function Oe(a){a=a|0;mr(a,72155)|0;return}function Pe(a){a=a|0;mr(a,72139)|0;return}function Qe(a){a=a|0;mr(a,72118)|0;g[41914]=+g[41914]+-2.0;return}function Re(a){a=a|0;mr(a,72099)|0;return}function Se(a){a=a|0;var b=0,d=0;b=l;l=l+16|0;d=b;c[d>>2]=Dn(c[(c[a+16>>2]|0)+8>>2]|0)|0;sr(a,72077,d);l=b;return}function Te(a){a=a|0;mr(a,72061)|0;return}function Ue(a){a=a|0;mr(a,72043)|0;g[41914]=+g[41914]+-5.0;return}function Ve(a){a=a|0;mr(a,72027)|0;g[41914]=+g[41914]+5.0;return}function We(b,d,e){b=b|0;d=d|0;e=e|0;var f=0.0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0.0,t=0.0,u=0.0;r=l;l=l+144|0;o=r+104|0;q=r+56|0;m=r+32|0;j=r+24|0;n=r;p=e+4|0;i=c[p>>2]|0;f=+h[i+16>>3];i=c[i>>2]|0;c[n>>2]=c[e>>2];h[n+8>>3]=f;c[n+16>>2]=i;sr(b,71873,n);g[41915]=+g[41914]+-9.0;switch(a[e+48>>0]|0){case 108:{f=+h[d>>3];break}case 114:{i=d;f=+h[d>>3]-+h[e+32>>3];k=5;break}default:{i=d;f=+h[d>>3]-+h[e+32>>3]*.5;k=5}}if((k|0)==5)h[i>>3]=f;u=+h[b+488>>3];t=(+h[b+504>>3]+f)*u;s=(+h[b+512>>3]+ +h[d+8>>3])*+h[b+496>>3];h[j>>3]=+h[(c[p>>2]|0)+16>>3]*u;n=af(b,71925,j)|0;f=+(c[b+360>>2]|0);h[m>>3]=0.0;h[m+8>>3]=0.0;h[m+16>>3]=f;i=af(b,71142,m)|0;f=+g[41915];h[o>>3]=t;h[o+8>>3]=s;h[o+16>>3]=f;d=af(b,71174,o)|0;j=o;k=(c[b+16>>2]|0)+16|0;m=j+40|0;do{c[j>>2]=c[k>>2];j=j+4|0;k=k+4|0}while((j|0)<(m|0));o=bf(b,o,0.0)|0;e=c[e>>2]|0;c[q>>2]=c[c[p>>2]>>2];h[q+8>>3]=.25;h[q+16>>3]=0.0;c[q+24>>2]=e;c[q+28>>2]=72012;c[q+32>>2]=n;c[q+36>>2]=i;c[q+40>>2]=d;c[q+44>>2]=o;q=af(b,71937,q)|0;mr(b,q)|0;_I(q);_I(i);_I(o);_I(d);_I(n);l=r;return}function Xe(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,i=0.0,j=0.0,k=0.0,m=0,n=0,o=0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0.0;z=l;l=l+240|0;x=z+192|0;y=z+152|0;t=z+128|0;r=z+104|0;o=z+80|0;n=z+48|0;e=z+24|0;m=z;mr(a,71750)|0;g[41915]=+g[41914]+-6.0;i=+h[b>>3];j=+h[a+488>>3];p=(+h[a+504>>3]+i)*j;A=+h[b+8>>3];k=+h[a+496>>3];q=(+h[a+512>>3]+A)*k;j=(+h[b+16>>3]-i)*j;k=(+h[b+24>>3]-A)*k;s=a+16|0;A=k+j;i=+h[(c[s>>2]|0)+152>>3]/A*2.5;h[m>>3]=j;h[m+8>>3]=A*.25;h[m+16>>3]=k;b=af(a,71110,m)|0;m=a+360|0;A=+(c[m>>2]|0);h[e>>3]=90.0;h[e+8>>3]=0.0;h[e+16>>3]=A;e=af(a,71142,e)|0;A=+g[41915];h[x>>3]=p;h[x+8>>3]=q;h[x+16>>3]=A;f=af(a,71174,x)|0;u=x;v=(c[s>>2]|0)+16|0;w=u+40|0;do{c[u>>2]=c[v>>2];u=u+4|0;v=v+4|0}while((u|0)<(w|0));v=bf(a,x,0.0)|0;h[n>>3]=1.0;h[n+8>>3]=i;c[n+16>>2]=b;c[n+20>>2]=e;c[n+24>>2]=f;c[n+28>>2]=v;w=af(a,71765,n)|0;mr(a,w)|0;_I(b);_I(e);_I(f);_I(v);_I(w);if(d|0){h[o>>3]=j;h[o+8>>3]=k;h[o+16>>3]=1.0;f=af(a,71110,o)|0;A=+(c[m>>2]|0);h[r>>3]=0.0;h[r+8>>3]=0.0;h[r+16>>3]=A;e=af(a,71142,r)|0;A=+g[41915];h[t>>3]=p;h[t+8>>3]=q;h[t+16>>3]=A;b=af(a,71174,t)|0;u=x;v=(c[s>>2]|0)+56|0;w=u+40|0;do{c[u>>2]=c[v>>2];u=u+4|0;v=v+4|0}while((u|0)<(w|0));x=bf(a,x,0.0)|0;h[y>>3]=0.0;h[y+8>>3]=0.0;h[y+16>>3]=0.0;c[y+24>>2]=f;c[y+28>>2]=e;c[y+32>>2]=b;c[y+36>>2]=x;y=af(a,71811,y)|0;mr(a,y)|0;_I(f);_I(e);_I(b);_I(x);_I(y)}l=z;return}function Ye(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0.0,M=0,N=0.0;K=l;l=l+336|0;B=K+296|0;J=K+288|0;I=K+272|0;H=K+264|0;G=K+240|0;D=K+232|0;A=K+208|0;z=K+184|0;w=K+160|0;v=K+152|0;u=K+136|0;t=K+128|0;s=K+96|0;r=K+88|0;q=K+56|0;f=K+48|0;m=K+24|0;k=K;mr(a,71615)|0;g[41915]=+g[41914]+-2.0;o=a+488|0;p=a+496|0;L=+h[p>>3];h[k>>3]=+h[o>>3];h[k+8>>3]=L;h[k+16>>3]=1.0;k=af(a,71110,k)|0;y=a+360|0;L=+(c[y>>2]|0);h[m>>3]=0.0;h[m+8>>3]=0.0;h[m+16>>3]=L;m=af(a,71142,m)|0;L=+g[41915]+-2.0;h[B>>3]=0.0;h[B+8>>3]=0.0;h[B+16>>3]=L;n=af(a,71174,B)|0;C=a+16|0;i=B;j=(c[C>>2]|0)+16|0;x=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(x|0));j=bf(a,B,0.0)|0;c[f>>2]=71237;c[f+4>>2]=d+1;E=a+504|0;F=a+512|0;i=0;f=af(a,71206,f)|0;while(1){if((i|0)>=(d|0))break;N=+h[F>>3]+ +h[b+(i<<4)+8>>3];L=+h[(c[C>>2]|0)+152>>3];h[q>>3]=+h[E>>3]+ +h[b+(i<<4)>>3];h[q+8>>3]=N;h[q+16>>3]=0.0;h[q+24>>3]=L;M=af(a,71251,q)|0;c[r>>2]=f;c[r+4>>2]=M;x=af(a,71280,r)|0;_I(M);_I(f);i=i+1|0;f=x}L=+h[F>>3]+ +h[b+8>>3];N=+h[(c[C>>2]|0)+152>>3];h[s>>3]=+h[E>>3]+ +h[b>>3];h[s+8>>3]=L;h[s+16>>3]=0.0;h[s+24>>3]=N;x=af(a,71251,s)|0;c[t>>2]=f;c[t+4>>2]=x;M=af(a,71280,t)|0;_I(x);_I(f);c[u>>2]=k;c[u+4>>2]=m;c[u+8>>2]=n;c[u+12>>2]=j;x=af(a,71630,u)|0;c[v>>2]=M;c[v+4>>2]=x;M=af(a,71335,v)|0;_I(x);mr(a,M)|0;_I(k);_I(m);_I(n);_I(j);_I(M);if(e|0){N=+h[p>>3];h[w>>3]=+h[o>>3];h[w+8>>3]=N;h[w+16>>3]=1.0;n=af(a,71110,w)|0;N=+(c[y>>2]|0);h[z>>3]=0.0;h[z+8>>3]=0.0;h[z+16>>3]=N;m=af(a,71142,z)|0;N=+g[41915]+-2.0;h[A>>3]=0.0;h[A+8>>3]=0.0;h[A+16>>3]=N;k=af(a,71174,A)|0;i=B;j=(c[C>>2]|0)+56|0;x=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(x|0));j=bf(a,B,.25)|0;c[D>>2]=d;i=0;f=af(a,71675,D)|0;while(1){if((i|0)>=(d|0))break;N=+h[F>>3]+ +h[b+(i<<4)+8>>3];h[G>>3]=+h[E>>3]+ +h[b+(i<<4)>>3];h[G+8>>3]=N;h[G+16>>3]=0.0;D=af(a,71690,G)|0;c[H>>2]=f;c[H+4>>2]=D;M=af(a,71712,H)|0;_I(D);_I(f);i=i+1|0;f=M}c[I>>2]=n;c[I+4>>2]=m;c[I+8>>2]=k;c[I+12>>2]=j;I=af(a,71722,I)|0;c[J>>2]=f;c[J+4>>2]=I;M=af(a,71335,J)|0;_I(I);mr(a,M)|0;_I(n);_I(m);_I(k);_I(j);_I(M)}l=K;return}function Ze(a,b,d,e,f,i){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0.0,D=0.0;B=l;l=l+208|0;e=B+160|0;A=B+152|0;z=B+136|0;y=B+128|0;x=B+96|0;w=B+88|0;v=B+56|0;k=B+48|0;s=B+24|0;r=B;mr(a,71542)|0;g[41915]=+g[41914]+-4.0;C=+h[a+496>>3];h[r>>3]=+h[a+488>>3];h[r+8>>3]=C;h[r+16>>3]=1.0;r=af(a,71110,r)|0;C=+(c[a+360>>2]|0);h[s>>3]=0.0;h[s+8>>3]=0.0;h[s+16>>3]=C;s=af(a,71142,s)|0;C=+g[41915]+-2.0;h[e>>3]=0.0;h[e+8>>3]=0.0;h[e+16>>3]=C;t=af(a,71174,e)|0;u=a+16|0;f=e;i=(c[u>>2]|0)+56|0;j=f+40|0;do{c[f>>2]=c[i>>2];f=f+4|0;i=i+4|0}while((f|0)<(j|0));n=bf(a,e,0.0)|0;c[k>>2]=71556;c[k+4>>2]=d+2;o=a+504|0;p=a+512|0;q=d+-1|0;m=0;e=af(a,71206,k)|0;while(1){if((m|0)>=(d|0))break;f=b+(m<<4)|0;i=b+(m<<4)+8|0;D=+h[p>>3]+ +h[i>>3];C=+h[(c[u>>2]|0)+152>>3];h[v>>3]=+h[o>>3]+ +h[f>>3];h[v+8>>3]=D;h[v+16>>3]=0.0;h[v+24>>3]=C;k=af(a,71251,v)|0;c[w>>2]=e;c[w+4>>2]=k;j=af(a,71280,w)|0;_I(k);_I(e);if((m|0)==0|(m|0)==(q|0)){C=+h[p>>3]+ +h[i>>3];D=+h[(c[u>>2]|0)+152>>3];h[x>>3]=+h[o>>3]+ +h[f>>3];h[x+8>>3]=C;h[x+16>>3]=0.0;h[x+24>>3]=D;k=af(a,71251,x)|0;c[y>>2]=j;c[y+4>>2]=k;e=af(a,71280,y)|0;_I(k);_I(j)}else e=j;m=m+1|0}c[z>>2]=r;c[z+4>>2]=s;c[z+8>>2]=t;c[z+12>>2]=n;b=af(a,71565,z)|0;c[A>>2]=e;c[A+4>>2]=b;d=af(a,71335,A)|0;_I(b);mr(a,d)|0;_I(r);_I(s);_I(t);_I(n);_I(d);l=B;return}function _e(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0.0,x=0,y=0.0;v=l;l=l+160|0;e=v+120|0;u=v+112|0;t=v+96|0;s=v+88|0;r=v+56|0;m=v+48|0;n=v+24|0;q=v;mr(a,71094)|0;g[41915]=+g[41914]+-6.0;w=+h[a+496>>3];h[q>>3]=+h[a+488>>3];h[q+8>>3]=w;h[q+16>>3]=1.0;q=af(a,71110,q)|0;w=+(c[a+360>>2]|0);h[n>>3]=0.0;h[n+8>>3]=0.0;h[n+16>>3]=w;n=af(a,71142,n)|0;w=+g[41915];h[e>>3]=0.0;h[e+8>>3]=0.0;h[e+16>>3]=w;o=af(a,71174,e)|0;p=a+16|0;f=e;i=(c[p>>2]|0)+16|0;j=f+40|0;do{c[f>>2]=c[i>>2];f=f+4|0;i=i+4|0}while((f|0)<(j|0));i=bf(a,e,0.0)|0;c[m>>2]=71237;c[m+4>>2]=d;j=a+504|0;k=a+512|0;f=0;e=af(a,71206,m)|0;while(1){if((f|0)>=(d|0))break;y=+h[k>>3]+ +h[b+(f<<4)+8>>3];w=+h[(c[p>>2]|0)+152>>3];h[r>>3]=+h[j>>3]+ +h[b+(f<<4)>>3];h[r+8>>3]=y;h[r+16>>3]=0.0;h[r+24>>3]=w;x=af(a,71251,r)|0;c[s>>2]=e;c[s+4>>2]=x;m=af(a,71280,s)|0;_I(x);_I(e);f=f+1|0;e=m}c[t>>2]=q;c[t+4>>2]=n;c[t+8>>2]=o;c[t+12>>2]=i;t=af(a,71289,t)|0;c[u>>2]=e;c[u+4>>2]=t;x=af(a,71335,u)|0;_I(t);mr(a,x)|0;_I(q);_I(n);_I(o);_I(i);_I(x);l=v;return}function $e(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=b;sr(a,71075,e);l=d;return}function af(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;i=l;l=l+1056|0;h=i;e=i+24|0;f=i+8|0;c[f>>2]=d;g=LK(e,1024,b,f)|0;do if((g|0)>=0)if((g|0)>1023){a=ZI(g+1|0)|0;c[f>>2]=d;qL(a,b,f)|0;break}else{a=GL(e)|0;break}else{a=c[(c[a+12>>2]|0)+16>>2]|0;c[h>>2]=yJ(c[(jJ()|0)>>2]|0)|0;hb[a&31](71520,h);a=GL(174181)|0}while(0);l=i;return a|0}function bf(a,b,e){a=a|0;b=b|0;e=+e;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0,s=0.0;q=l;l=l+112|0;o=q+104|0;j=q+96|0;i=q+64|0;n=q+48|0;p=q+32|0;m=q+16|0;k=q;g=c[b+32>>2]|0;a:do switch(g|0){case 5:{f=c[b>>2]|0;if(!(xJ(f,121094)|0)){c[k>>2]=71357;h[k+8>>3]=e;f=af(a,71340,k)|0;break a}if(!(xJ(f,118224)|0)){c[m>>2]=71361;h[m+8>>3]=e;f=af(a,71340,m)|0;break a}if(!(xJ(f,116223)|0)){c[p>>2]=71367;h[p+8>>3]=e;f=af(a,71340,p)|0;break a}else{c[n>>2]=f;h[n+8>>3]=e;f=af(a,71340,n)|0;break a}}case 1:{s=+(d[b+1>>0]|0)*.00390625;r=+(d[b+2>>0]|0)*.00390625;h[i>>3]=+(d[b>>0]|0)*.00390625;h[i+8>>3]=s;h[i+16>>3]=r;h[i+24>>3]=e;f=af(a,71372,i)|0;break}default:{p=c[13918]|0;n=c[b>>2]|0;c[j>>2]=g;c[j+4>>2]=n;zL(p,71411,j)|0;ma(123205,71461,436,71481)}}while(0);c[o>>2]=f;p=af(a,71498,o)|0;_I(f);l=q;return p|0}function cf(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0;b=l;l=l+32|0;d=b+24|0;e=b+16|0;g=b;f=c[a+16>>2]|0;h=c[c[a+12>>2]>>2]|0;j=c[h>>2]|0;i=c[h+4>>2]|0;h=c[h+8>>2]|0;c[g>>2]=73927;c[g+4>>2]=j;c[g+8>>2]=i;c[g+12>>2]=h;sr(a,76546,g);f=Dn(c[f+8>>2]|0)|0;c[e>>2]=73927;c[e+4>>2]=f;sr(a,76578,e);c[d>>2]=73927;sr(a,76592,d);l=b;return}function df(a){a=a|0;var b=0,d=0;b=l;l=l+16|0;d=b;c[d>>2]=73927;sr(a,76494,d);l=b;return}function ef(a){a=a|0;var b=0.0,d=0.0,e=0.0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0,T=0,U=0,V=0,W=0;W=l;l=l+304|0;V=W+296|0;U=W+288|0;T=W+272|0;R=W+264|0;Q=W+256|0;P=W+248|0;O=W+240|0;N=W+232|0;M=W+224|0;L=W+216|0;K=W+208|0;J=W+200|0;I=W+192|0;H=W+184|0;G=W+176|0;F=W+168|0;E=W+160|0;C=W+152|0;A=W+144|0;z=W+136|0;y=W+128|0;x=W+120|0;w=W+112|0;v=W+104|0;u=W+96|0;t=W+88|0;s=W+80|0;r=W+72|0;q=W+64|0;p=W+56|0;o=W+48|0;S=W+40|0;B=W+24|0;n=W+16|0;m=W;g=c[a+456>>2]|0;i=c[a+460>>2]|0;j=c[a+464>>2]|0;k=c[a+468>>2]|0;f=a+360|0;a:do if(c[4007]|0){switch(c[f>>2]|0){case 90:case 0:break a;default:{}}rf();c[4007]=0}while(0);e=(+(k|0)-+(i|0))*.013888888888888888;b=(+(j|0)-+(g|0))*.013888888888888888;k=(c[f>>2]|0)==90;d=k?e:b;e=k?b:e;h[m>>3]=d;h[m+8>>3]=e;sr(a,74114,m);c[n>>2]=73927;sr(a,74129,n);if(d>0.0){b=+FJ(d);h[16877]=b;b=b+3.0-+(~~b|0)}else b=3.0;b=+D(10.0,+b);h[16877]=b;h[B>>3]=b;h[B+8>>3]=b;sr(a,74298,B);c[S>>2]=73927;sr(a,74333,S);c[o>>2]=73927;sr(a,74391,o);c[p>>2]=73927;sr(a,74451,p);c[q>>2]=73927;sr(a,74500,q);c[r>>2]=73927;sr(a,74539,r);c[s>>2]=73927;sr(a,74590,s);c[t>>2]=73927;sr(a,74652,t);c[u>>2]=73927;sr(a,74762,u);c[v>>2]=73927;sr(a,74853,v);c[w>>2]=73927;sr(a,74907,w);c[x>>2]=73927;sr(a,74976,x);sr(a,75012,y);c[z>>2]=73927;sr(a,75137,z);c[A>>2]=73927;sr(a,75166,A);sr(a,75206,C);c[E>>2]=73927;sr(a,75299,E);c[F>>2]=73927;sr(a,75358,F);c[G>>2]=73927;sr(a,75439,G);sr(a,75509,H);c[I>>2]=73927;sr(a,75598,I);c[J>>2]=73927;sr(a,75703,J);c[K>>2]=73927;sr(a,75779,K);c[L>>2]=73927;sr(a,75818,L);c[M>>2]=73927;sr(a,75917,M);c[N>>2]=73927;sr(a,75963,N);sr(a,76052,O);c[P>>2]=73927;sr(a,76093,P);c[Q>>2]=73927;sr(a,76176,Q);c[R>>2]=73927;sr(a,76277,R);h[T>>3]=e;h[T+8>>3]=d;sr(a,76341,T);sr(a,76369,U);sr(a,76377,V);l=W;return}function ff(a){a=a|0;var b=0;b=l;l=l+16|0;sr(a,74107,b);l=b;return}function gf(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0.0,k=0,m=0,n=0.0,o=0,p=0,q=0,r=0;r=l;l=l+48|0;q=r+24|0;p=r+8|0;o=r;switch(a[e+48>>0]|0){case 108:{k=d;i=+h[e+32>>3];j=+h[d>>3];break}case 114:{i=+h[e+32>>3];g=i;f=5;break}default:{i=+h[e+32>>3];g=i*.5;f=5}}if((f|0)==5){j=+h[d>>3]-g;h[d>>3]=j;k=d}m=e+4|0;f=c[m>>2]|0;g=+h[f+16>>3];d=d+8|0;n=+h[d>>3]+g*.004629629629629629;h[d>>3]=n;i=j+i*.006944444444444444;h[k>>3]=i;f=c[f>>2]|0;do if(f){d=c[41916]|0;if(d|0?(xJ(d,f)|0)==0:0)break;c[o>>2]=pf(f)|0;sr(b,74006,o);o=c[m>>2]|0;c[41916]=c[o>>2];g=+h[o+16>>3]}while(0);f=~~g;f=(f|0)>1?f:1;if((f|0)!=(c[41917]|0)){j=+h[16877];c[p>>2]=f;h[p+8>>3]=j;sr(b,74014,p);c[41917]=f}c[q>>2]=qf(c[e>>2]|0)|0;h[q+8>>3]=i;h[q+16>>3]=n;sr(b,74035,q);l=r;return}function hf(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0.0,j=0.0,k=0.0;e=l;l=l+48|0;f=e;i=+h[b>>3];k=(+h[b+16>>3]-i)*.027777777777777776;g=+h[b+8>>3];j=(+h[b+24>>3]-g)*.027777777777777776;c[f>>2]=1;c[f+4>>2]=d|0?73948:174181;h[f+8>>3]=k;h[f+16>>3]=j;h[f+24>>3]=i*.013888888888888888;h[f+32>>3]=g*.013888888888888888;sr(a,73954,f);l=e;return}function jf(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;e=l;l=l+16|0;nf(c[a+16>>2]|0,e+8|0,e);of(a,b,d,1);l=e;return}function kf(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0.0,v=0.0,w=0;t=l;l=l+128|0;s=t+112|0;q=t+104|0;p=t+96|0;e=t+88|0;n=t+16|0;o=t;k=c[a+16>>2]|0;j=ZI((d*140|0)+140|0)|0;nf(k,t+116|0,t+80|0);v=+h[b>>3];k=n+48|0;h[k>>3]=v;u=+h[b+8>>3];h[n+56>>3]=u;c[e>>2]=~~(v+(v>=0.0?.5:-.5));c[e+4>>2]=~~(u+(u>=0.0?.5:-.5));i=o+8|0;e=j+(pL(j,73932,e)|0)|0;r=1;g=0;while(1){m=g+3|0;if((m|0)>=(d|0))break;c[n>>2]=c[k>>2];c[n+4>>2]=c[k+4>>2];c[n+8>>2]=c[k+8>>2];c[n+12>>2]=c[k+12>>2];f=1;while(1){if((f|0)==4){f=1;break}w=f+g|0;h[n+(f<<4)>>3]=+h[b+(w<<4)>>3];h[n+(f<<4)+8>>3]=+h[b+(w<<4)+8>>3];f=f+1|0}while(1){if((f|0)==7)break;PA(o,n,3,+(f|0)*.16666666666666666,0,0);u=+h[o>>3];v=+h[i>>3];c[p>>2]=~~(u+(u>=0.0?.5:-.5));c[p+4>>2]=~~(v+(v>=0.0?.5:-.5));f=f+1|0;e=e+(pL(e,73932,p)|0)|0}r=r+6|0;g=m}c[q>>2]=j;sr(a,73939,q);_I(j);f=r+-1|0;e=0;while(1){if((e|0)>=(r|0))break;c[s>>2]=((e|0)%(f|0)|0|0)!=0&1;sr(a,73944,s);e=e+1|0}mr(a,134901)|0;l=t;return}function lf(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=l;l=l+16|0;nf(c[a+16>>2]|0,e+8|0,e);of(a,b,d,0);l=e;return}function mf(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=73927;c[e+4>>2]=b;sr(a,73920,e);l=d;return}function nf(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0;switch(c[a+144>>2]|0){case 1:{e=10.0;a=1;break}case 2:{e=10.0;a=2;break}default:{e=0.0;a=0}}c[b>>2]=a;h[d>>3]=e;return}function of(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0.0,m=0.0;j=l;l=l+16|0;i=j+8|0;g=j;f=0;while(1){if((f|0)>=(d|0))break;m=+h[b+(f<<4)>>3];k=+h[b+(f<<4)+8>>3];c[g>>2]=~~(m+(m>=0.0?.5:-.5));c[g+4>>2]=~~(k+(k>=0.0?.5:-.5));sr(a,73932,g);f=f+1|0}if(e|0){k=+h[b>>3];m=+h[b+8>>3];c[i>>2]=~~(k+(k>=0.0?.5:-.5));c[i+4>>2]=~~(m+(m>=0.0?.5:-.5));sr(a,73932,i)}mr(a,134901)|0;l=j;return}function pf(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;h=l;l=l+16|0;f=h;a:while(1){d=15756;while(1){e=c[d+4>>2]|0;if(!e)break;if(!(xJ(e,b)|0)){g=6;break a}d=d+8|0}c[f>>2]=74088;c[f+4>>2]=b;_l(1,74062,f)|0;d=HL(b,45)|0;if(!d){d=74105;break}a[d>>0]=0}l=h;return d|0}function qf(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;h=i;d=c[41918]|0;if(!d){c[41919]=64;d=ZI(64)|0;c[41918]=d;e=0}else e=0;while(1){g=b+1|0;f=a[b>>0]|0;if(!(f<<24>>24))break;b=c[41919]|0;if((e|0)>(b+-8|0)){d=b<<1;c[41919]=d;d=aJ(c[41918]|0,d)|0;c[41918]=d;d=d+e|0}if(f<<24>>24<=-1){a[d>>0]=92;c[h>>2]=f&255;pL(d+1|0,74057,h)|0;b=g;d=d+4|0;e=e+4|0;continue}if(f<<24>>24==92){a[d>>0]=92;e=e+1|0;d=d+1|0}a[d>>0]=f;b=g;d=d+1|0;e=e+1|0}a[d>>0]=0;l=i;return c[41918]|0}function rf(){var a=0,b=0;a=l;l=l+16|0;b=a;c[b>>2]=74088;c[b+4>>2]=76485;_l(0,76467,b)|0;l=a;return}function sf(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0,k=0;e=l;l=l+32|0;f=e+8|0;j=e;b=b+8|0;k=c[b>>2]|0;c[j>>2]=k;c[j+4>>2]=k;sr(a,77065,j);i=(+h[d>>3]+ +h[d+16>>3])*.5;g=(+h[d+8>>3]+ +h[d+24>>3])*.5;c[f>>2]=c[b>>2];h[f+8>>3]=i;h[f+16>>3]=g;sr(a,77107,f);l=e;return}function tf(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0.0,k=0.0;e=l;l=l+48|0;f=e;i=+h[d>>3];k=+h[d+16>>3]-i;g=+h[d+24>>3];j=g-+h[d+8>>3];g=+(~~(+h[a+232>>3]-+h[a+216>>3])>>>0)-g;c[f>>2]=c[b+8>>2];h[f+8>>3]=k;h[f+16>>3]=j;h[f+24>>3]=i;h[f+32>>3]=g;sr(a,77152,f);mr(a,77244)|0;l=e;return}function uf(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;return}function vf(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0.0;t=l;l=l+160|0;s=t+152|0;r=t+136|0;q=t+120|0;k=t+112|0;n=t+104|0;m=t+88|0;j=t+72|0;i=t+64|0;o=t;if(!a)ma(96061,77249,212,77268);if(!b)ma(96091,77249,213,77268);p=b+8|0;if(!(c[p>>2]|0))ma(96094,77249,214,77268);if(c[b+52>>2]|0){c[o>>2]=c[d>>2];c[o+4>>2]=c[d+4>>2];c[o+8>>2]=c[d+8>>2];c[o+12>>2]=c[d+12>>2];b=o+32|0;d=d+16|0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];f=+h[o>>3];h[o+16>>3]=f;h[o+24>>3]=+h[o+40>>3];h[o+48>>3]=+h[b>>3];g=+h[o+8>>3];h[o+56>>3]=g;if(e<<24>>24){sr(a,77289,i);b=0;while(1){if((b|0)==4)break;u=+h[o+(b<<4)+8>>3];h[j>>3]=+h[o+(b<<4)>>3];h[j+8>>3]=u;sr(a,77292,j);b=b+1|0}h[m>>3]=f;h[m+8>>3]=g;sr(a,77292,m);m=c[p>>2]|0;c[n>>2]=4;c[n+4>>2]=m;sr(a,77299,n)}sr(a,77289,k);b=0;while(1){if((b|0)==4)break;u=+h[o+(b<<4)+8>>3];h[q>>3]=+h[o+(b<<4)>>3];h[q+8>>3]=u;sr(a,77292,q);b=b+1|0}h[r>>3]=f;h[r+8>>3]=g;sr(a,77292,r);r=c[p>>2]|0;c[s>>2]=4;c[s+4>>2]=r;sr(a,77314,s)}l=t;return}function wf(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0.0;o=l;l=l+112|0;n=o+24|0;m=o+16|0;k=o;i=o+28|0;if(!b)ma(96061,77249,153,77330);if(!d)ma(96091,77249,154,77330);if(!(c[d+8>>2]|0))ma(96094,77249,155,77330);j=d+52|0;if(c[j>>2]|0){f=d+60|0;g=c[f>>2]|0;if((g|0)==84)g=18;else{gb[g&127](d);c[j>>2]=0;c[f>>2]=0;c[d+56>>2]=0;g=10}}else g=10;do if((g|0)==10){if(!((Mr(d)|0)<<24>>24))break;f=zN(c[d+20>>2]|0)|0;if((c[d+24>>2]&-2|0)==6){_L(f,i)|0;i=c[i+36>>2]|0;c[d+56>>2]=i;f=pJ(0,i,1,1,f,0)|0;c[j>>2]=f;a[d+16>>0]=1}else f=c[j>>2]|0;if(f|0)c[d+60>>2]=84;Nr(d);if(c[j>>2]|0)g=18}while(0);if((g|0)==18){p=+h[e+8>>3]-+(c[d+36>>2]|0);h[k>>3]=+h[e>>3]-+(c[d+32>>2]|0);h[k+8>>3]=p;sr(b,77348,k);if(!(a[d+16>>0]|0)){c[m>>2]=c[d+12>>2];sr(b,77379,m)}else fy(b,d);sr(b,77394,n)}l=o;return}function xf(a){a=a|0;nJ(c[a+52>>2]|0,c[a+56>>2]|0)|0;return}function yf(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;g=l;l=l+80|0;f=g+48|0;if(!a)ma(96061,77249,121,77404);e=c[a+16>>2]|0;if(!e)ma(84921,77249,123,77404);if(!b)ma(96091,77249,124,77404);d=b+8|0;if(!(c[d>>2]|0))ma(96094,77249,125,77404);if(!(c[e+8>>2]|0))ma(123690,77249,128,77404);else{sr(a,77424,g);sr(a,77433,g+8|0);sr(a,77460,g+16|0);sr(a,77485,g+24|0);sr(a,77514,g+32|0);sr(a,77542,g+40|0);c[f>>2]=c[d>>2];sr(a,77549,f);sr(a,77588,g+56|0);sr(a,95830,g+64|0);l=g;return}}function zf(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0.0;i=l;l=l+128|0;g=i+80|0;f=i;if(!a)ma(96061,77249,97,77593);if(!b)ma(96091,77249,98,77593);e=c[b+8>>2]|0;if(!e)ma(96094,77249,99,77593);else{m=+h[d>>3];j=~~(m+(m>=0.0?.5:-.5));m=+h[d+8>>3];b=~~(m+(m>=0.0?.5:-.5));m=+h[d+16>>3];k=~~(m+(m>=0.0?.5:-.5));m=+h[d+24>>3];d=~~(m+(m>=0.0?.5:-.5));c[f>>2]=2;c[f+4>>2]=5;c[f+8>>2]=0;c[f+12>>2]=0;c[f+16>>2]=0;c[f+20>>2]=-1;c[f+24>>2]=1;c[f+28>>2]=-1;c[f+32>>2]=0;h[f+40>>3]=0.0;c[f+48>>2]=0;c[f+52>>2]=0;c[f+56>>2]=0;c[f+60>>2]=0;c[f+64>>2]=0;c[f+68>>2]=5;c[f+72>>2]=0;c[f+76>>2]=e;sr(a,77612,f);c[g>>2]=j;c[g+4>>2]=b;c[g+8>>2]=j;c[g+12>>2]=d;c[g+16>>2]=k;c[g+20>>2]=d;c[g+24>>2]=k;c[g+28>>2]=b;c[g+32>>2]=j;c[g+36>>2]=b;sr(a,77670,g);l=i;return}}function Af(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0.0,j=0.0,k=0,m=0,n=0,o=0;o=l;l=l+96|0;n=o+56|0;m=o+32|0;k=o;i=+h[d>>3];j=+h[d+16>>3]-i;f=+h[d+24>>3];g=f-+h[d+8>>3];if(!a)ma(96061,77249,53,77702);if(!b)ma(96091,77249,54,77702);e=b+8|0;if(!(c[e>>2]|0))ma(96094,77249,55,77702);mr(a,77721)|0;mr(a,c[e>>2]|0)|0;e=a+360|0;f=-f;if(!(c[e>>2]|0)){h[n>>3]=j;h[n+8>>3]=g;h[n+16>>3]=i;h[n+24>>3]=f;sr(a,77850,n)}else{h[k>>3]=g;h[k+8>>3]=j;h[k+16>>3]=i;h[k+24>>3]=f;sr(a,77741,k);c[m>>2]=c[e>>2];h[m+8>>3]=i;h[m+16>>3]=f;sr(a,77820,m)}mr(a,77929)|0;l=o;return}function Bf(a){a=a|0;var b=0,c=0;b=co(a)|0;while(1){if(!b)break;Cf(b);b=eo(a,b)|0}c=co(a)|0;while(1){if(!c)break;b=Pm(a,c)|0;while(1){if(!b)break;Df(b);b=Rm(a,b)|0}c=eo(a,c)|0}return}function Cf(a){a=a|0;var b=0,d=0;No(a,122241,304,1)|0;WA(a);KB(a,c[(c[(ro(a)|0)+16>>2]|0)+116>>2]&1);a=a+16|0;c[(c[a>>2]|0)+176>>2]=0;b=vw(20)|0;d=c[a>>2]|0;c[d+172>>2]=b;c[d+184>>2]=0;d=vw(20)|0;b=c[a>>2]|0;c[b+180>>2]=d;c[b+200>>2]=0;b=vw(12)|0;d=c[a>>2]|0;c[d+196>>2]=b;c[d+192>>2]=0;d=vw(12)|0;b=c[a>>2]|0;c[b+188>>2]=d;c[b+208>>2]=0;b=vw(12)|0;a=c[a>>2]|0;c[a+204>>2]=b;c[a+216>>2]=1;return}function Df(d){d=d|0;var e=0,f=0,g=0,h=0,i=0;No(d,122254,176,1)|0;XA(d)|0;h=DA(d,c[42218]|0,1,0)|0;g=d+16|0;c[(c[g>>2]|0)+156>>2]=h;h=FA(c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0,c[42212]|0,174181)|0;i=FA(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0,c[42212]|0,174181)|0;e=c[g>>2]|0;f=e+154|0;b[f>>1]=1;b[e+168>>1]=1;if((h|0)==(i|0)&(a[h>>0]|0)!=0){b[f>>1]=1e3;i=e+156|0;c[i>>2]=(c[i>>2]|0)*100}if(zk(d)|0){i=c[g>>2]|0;b[i+154>>1]=0;c[i+156>>2]=0}i=(DA(d,c[42231]|0,0,0)|0)&255;a[(c[g>>2]|0)+152>>0]=i;i=(DA(d,c[42219]|0,1,0)|0)&65535;b[(c[g>>2]|0)+170>>1]=i;return}function Ef(a){a=a|0;var b=0,d=0;Ff(c[(c[a+16>>2]|0)+192>>2]|0);d=co(a)|0;while(1){if(!d)break;b=Pm(a,d)|0;while(1){if(!b)break;rB(b);b=Rm(a,b)|0}Gf(d);d=eo(a,d)|0}Hf(a);return}function Ff(b){b=b|0;var d=0,e=0,f=0,g=0;while(1){if(!b)break;f=b+16|0;g=c[(c[f>>2]|0)+164>>2]|0;If(b);d=c[f>>2]|0;if((a[d+156>>0]|0)!=1){b=g;continue}e=c[d+180>>2]|0;if(e){_I(e);d=c[f>>2]|0}e=c[d+172>>2]|0;if(e){_I(e);d=c[f>>2]|0}_I(d);_I(b);b=g}return}function Gf(a){a=a|0;var b=0,d=0,e=0;e=a+16|0;b=c[e>>2]|0;d=c[b+172>>2]|0;if(d){_I(d);b=c[e>>2]|0}d=c[b+180>>2]|0;if(d){_I(d);b=c[e>>2]|0}d=c[b+188>>2]|0;if(d){_I(d);b=c[e>>2]|0}d=c[b+196>>2]|0;if(d){_I(d);b=c[e>>2]|0}d=c[b+204>>2]|0;if(d){_I(d);b=c[e>>2]|0}ow(c[b+104>>2]|0);ow(c[(c[e>>2]|0)+108>>2]|0);b=c[(c[e>>2]|0)+8>>2]|0;if(b|0)gb[c[(c[b+4>>2]|0)+4>>2]&127](a);Po(a,122241)|0;return}function Hf(a){a=a|0;var d=0,e=0,f=0;d=Jp(a)|0;while(1){if(!d)break;Hf(d);d=Kp(d)|0}if(No(a,122277,0,1)|0){f=a+16|0;d=c[f>>2]|0;e=c[d+184>>2]|0;if(e){_I(e);d=c[f>>2]|0}e=c[d+268>>2]|0;if(e){_I(e);d=c[f>>2]|0}e=c[d+216>>2]|0;if(e){_I(e);d=c[f>>2]|0}do if(c[d+196>>2]|0){e=b[d+236>>1]|0;while(1){if((e|0)>(b[d+238>>1]|0))break;_I(c[(c[d+196>>2]|0)+(e<<6)+12>>2]|0);e=e+1|0;d=c[f>>2]|0}e=c[d+196>>2]|0;if((b[d+236>>1]|0)==-1){_I(e+-64|0);break}else{_I(e);break}}while(0);if((so(a)|0)!=(a|0)){ow(c[(c[f>>2]|0)+12>>2]|0);Po(a,122277)|0}}return}function If(a){a=a|0;var b=0,d=0,e=0;e=a+16|0;d=c[e>>2]|0;b=c[d+176>>2]|0;while(1){a=b+-1|0;if((b|0)<=0)break;b=c[(c[d+172>>2]|0)+(a<<2)>>2]|0;Xg(b);_I(c[b+16>>2]|0);_I(b);b=a;d=c[e>>2]|0}b=c[d+184>>2]|0;while(1){a=b+-1|0;if((b|0)<=0)break;b=c[(c[(c[e>>2]|0)+180>>2]|0)+(a<<2)>>2]|0;Xg(b);_I(c[b+16>>2]|0);_I(b);b=a}return}function Jf(a){a=a|0;if(mn(a)|0)Kf(a);$x(a);return}function Kf(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;h=l;l=l+48|0;g=h+32|0;f=h;b=et(a,-1,8)|0;d=ft(a,0,f)|0;dt(a,2,8,f)|0;d=(d|0)==0;e=(b|0)<0;if(e&d)Lf(a);else{if(d)c[f+16>>2]=3;else b=e?8:b;c[f+8>>2]=b;c[f+20>>2]=0;e=Bs(a,g,0)|0;b=c[g>>2]|0;do if((b|0)==1){Lf(a);b=0}else{if(c[(c[(c[a+16>>2]|0)+8>>2]|0)+84>>2]|0){Lf(a);b=0;break}c[f+12>>2]=1;d=0;while(1){if((d|0)>=(b|0))break;b=c[e+(d<<2)>>2]|0;Mf(b,a);Lf(b);d=d+1|0;b=c[g>>2]|0}Nf(a);ct(c[g>>2]|0,e,a,f)|0;Of(a);Pf(c[g>>2]|0,e,a);b=0}while(0);while(1){if((b|0)>=(c[g>>2]|0))break;f=e+(b<<2)|0;_I(c[(c[(c[f>>2]|0)+16>>2]|0)+8>>2]|0);Hf(c[f>>2]|0);qo(a,c[f>>2]|0)|0;b=b+1|0}_I(e)}l=h;return}function Lf(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;m=l;l=l+48|0;k=m+40|0;e=m;i=DA(a,ym(a,0,77944,0)|0,-1,1)|0;IB(a,10);d=yk(a,e)|0;Rf(a,a);Bf(a);f=(i|0)==1;g=e+32|0;h=(i|0)==2;i=(i|0)==3;j=e+28|0;e=e+24|0;while(1){kj(a,d);if(f){d=3;break}if(c[g>>2]|0){_l(0,77950,k)|0;c[e>>2]=0;d=0}uh(a,(d|0)!=0&1);if(h){d=7;break}xi(a,d);if(i){d=9;break}n=(c[j>>2]|0)+-1|0;c[j>>2]=n;if(!((n|0)!=0&(c[e>>2]|0)!=0)){d=11;break}}if((d|0)==3)Sf(a,1);else if((d|0)==7)Sf(a,2);else if((d|0)==9)Sf(a,2);else if((d|0)==11){if(b[(c[a+16>>2]|0)+136>>1]&16)Tf(a);ek(a);Xf(a);if((IA(Im(a,78041)|0)|0)<<24>>24)_k(a)}l=m;return}function Mf(b,d){b=b|0;d=d|0;var e=0,f=0;No(b,122277,280,1)|0;e=vw(96)|0;b=c[b+16>>2]|0;c[b+8>>2]=e;d=c[d+16>>2]|0;f=c[d+8>>2]|0;h[e>>3]=+h[f>>3];h[e+24>>3]=+h[f+24>>3];c[b+144>>2]=c[d+144>>2];a[b+115>>0]=a[d+115>>0]|0;c[b+116>>2]=c[d+116>>2];c[b+248>>2]=c[d+248>>2];c[b+252>>2]=c[d+252>>2];c[b+244>>2]=c[d+244>>2];return}function Nf(a){a=a|0;var b=0,d=0,e=0;b=vw((mn(a)|0)<<4)|0;d=co(a)|0;while(1){if(!d)break;e=c[d+16>>2]|0;c[e+132>>2]=b;h[b>>3]=+h[e+16>>3]*.013888888888888888;h[b+8>>3]=+h[e+24>>3]*.013888888888888888;b=b+16|0;d=eo(a,d)|0}return}function Of(a){a=a|0;var b=0,d=0,e=0,f=0;e=c[(c[(co(a)|0)+16>>2]|0)+132>>2]|0;b=e;d=co(a)|0;while(1){if(!d)break;f=c[d+16>>2]|0;c[f+132>>2]=0;h[f+16>>3]=+h[b>>3]*72.0;h[f+24>>3]=+h[b+8>>3]*72.0;b=b+16|0;d=eo(a,d)|0}_I(e);return}function Pf(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;e=0;f=0;while(1){if((e|0)>=(a|0))break;i=(c[(c[(c[b+(e<<2)>>2]|0)+16>>2]|0)+180>>2]|0)+f|0;e=e+1|0;f=i}i=d+16|0;c[(c[i>>2]|0)+180>>2]=f;g=vw((f<<2)+4|0)|0;c[(c[i>>2]|0)+184>>2]=g;g=0;e=1;while(1){if((g|0)>=(a|0))break;h=(c[b+(g<<2)>>2]|0)+16|0;f=1;while(1){d=c[h>>2]|0;if((f|0)>(c[d+180>>2]|0))break;d=As(c[(c[d+184>>2]|0)+(f<<2)>>2]|0)|0;c[(c[(c[i>>2]|0)+184>>2]|0)+(e<<2)>>2]=d;Qf(c[(c[(c[h>>2]|0)+184>>2]|0)+(f<<2)>>2]|0,d);f=f+1|0;e=e+1|0}g=g+1|0}return}function Qf(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;No(d,122277,280,1)|0;g=d+16|0;d=(c[g>>2]|0)+16|0;f=b+16|0;b=(c[f>>2]|0)+16|0;c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];c[d+16>>2]=c[b+16>>2];c[d+20>>2]=c[b+20>>2];c[d+24>>2]=c[b+24>>2];c[d+28>>2]=c[b+28>>2];b=c[f>>2]|0;d=c[g>>2]|0;a[d+275>>0]=a[b+275>>0]|0;d=d+48|0;b=b+48|0;e=d+64|0;do{c[d>>2]=c[b>>2];d=d+4|0;b=b+4|0}while((d|0)<(e|0));b=c[(c[f>>2]|0)+180>>2]|0;c[(c[g>>2]|0)+180>>2]=b;d=vw((b<<2)+4|0)|0;c[(c[g>>2]|0)+184>>2]=d;d=1;while(1){e=c[f>>2]|0;if((d|0)>(b|0))break;e=As(c[(c[e+184>>2]|0)+(d<<2)>>2]|0)|0;c[(c[(c[g>>2]|0)+184>>2]|0)+(d<<2)>>2]=e;Qf(c[(c[(c[f>>2]|0)+184>>2]|0)+(d<<2)>>2]|0,e);d=d+1|0}f=e+12|0;c[(c[g>>2]|0)+12>>2]=c[f>>2];c[f>>2]=0;return}function Rf(a,b){a=a|0;b=b|0;if((so(a)|0)!=(a|0))No(a,122277,280,1)|0;if((a|0)==(b|0))c[(c[(so(a)|0)+16>>2]|0)+188>>2]=a;a=Jp(a)|0;while(1){if(!a)break;Rf(a,b);a=Kp(a)|0}return}function Sf(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+1040|0;k=m+8|0;j=m;e=m+16|0;f=ym(a,1,80018,174181)|0;g=ym(a,1,78084,174181)|0;h=(b|0)>0;d=(b|0)==1;b=co(a)|0;while(1){if(!b)break;if(h?(i=b+16|0,c[j>>2]=c[(c[i>>2]|0)+232>>2],pL(e,122187,j)|0,Cm(b,f,e)|0,!d):0){c[k>>2]=c[(c[i>>2]|0)+236>>2];pL(e,122187,k)|0;Cm(b,g,e)|0}b=eo(a,b)|0}l=m;return}function Tf(a){a=a|0;var b=0,c=0,d=0;c=Ip(a,79522,0)|0;if(c|0){b=co(c)|0;while(1){if(!b)break;d=eo(c,b)|0;dh(a,b);Uf(a,b);Gf(b);po(a,b)|0;b=d}Mp(a,c)|0}return}function Uf(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0;j=c[(c[b+16>>2]|0)+232>>2]|0;i=a+16|0;a=c[(c[i>>2]|0)+196>>2]|0;d=c[a+(j<<6)>>2]|0;h=a+(j<<6)+4|0;g=0;e=0;while(1){if((e|0)>=(d|0)){f=7;break}f=c[(c[h>>2]|0)+(e<<2)>>2]|0;e=e+1|0;if((f|0)==(b|0)){f=4;break}else g=f}if((f|0)==4){while(1){if((e|0)>=(d|0))break;f=c[a+(j<<6)+4>>2]|0;c[f+(e+-1<<2)>>2]=c[f+(e<<2)>>2];f=c[(c[i>>2]|0)+196>>2]|0;e=e+1|0;d=c[f+(j<<6)>>2]|0;a=f;f=4}c[a+(j<<6)>>2]=d+-1}else if((f|0)==7?(g|0)!=(b|0):0)ma(78050,78057,248,78067);return}function Vf(a){a=a|0;return c[(c[(so(a)|0)+16>>2]|0)+188>>2]|0}function Wf(b,c){b=b|0;c=c|0;var d=0;d=a[b+28>>0]|0;if(a[c+28>>0]|0)if(d<<24>>24){d=~~(+h[b>>3]-+h[c>>3]);if(!d)d=~~(+h[b+8>>3]-+h[c+8>>3])}else d=-1;else d=d<<24>>24!=0&1;return d|0}function Xf(a){a=a|0;Yf(a,1);return}function Yf(d,e){d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0.0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0,T=0,U=0,V=0,W=0,X=0,Y=0,Z=0,_=0.0;Z=l;l=l+656|0;O=Z+592|0;N=Z+552|0;f=Z+544|0;T=Z+96|0;U=Z;Y=Z+632|0;V=d+16|0;X=b[(c[V>>2]|0)+136>>1]&14;P=X&65535;Q=T+16|0;c[Q>>2]=Z+368;R=U+16|0;c[R>>2]=Z+192;do if(X<<16>>16){S=X<<16>>16==4;do if(S){Zf(d);if(!(a[(c[(c[d+60>>2]|0)+16>>2]|0)+113>>0]&1))A=9;else{_l(0,78090,f)|0;A=9}}else if(X<<16>>16==8){Zf(d);if(!(a[(c[(c[d+60>>2]|0)+16>>2]|0)+113>>0]&1)){LB(d,0);n=0;m=0;k=0;break}else{_f(d);LB(d,1);n=0;m=0;k=0;break}}else A=9;while(0);if((A|0)==9){Yk(d);if(ly()|0)break;W=vw(96)|0;K=c[(c[V>>2]|0)+248>>2]|0;c[Y+8>>2]=(K|0)/4|0;c[Y+12>>2]=K;k=vw(512)|0;F=Y+4|0;c[F>>2]=0;c[Y>>2]=0;j=c[V>>2]|0;C=b[j+236>>1]|0;D=0;L=0;M=k;E=k;m=k;n=k;o=k;H=0;I=0;a:while(1){if((C|0)>(b[j+238>>1]|0))break;p=c[j+196>>2]|0;i=c[p+(C<<6)>>2]|0;G=i+D|0;g=c[p+(C<<6)+4>>2]|0;f=c[g>>2]|0;if(!f)f=H;else{_=+(H|0);f=c[f+16>>2]|0;y=+h[f+16>>3]-+h[f+88>>3];f=~~(y>_?_:y)}if((i|0)!=0?(J=c[g+(i+-1<<2)>>2]|0,(J|0)!=0):0){y=+(I|0);g=c[J+16>>2]|0;_=+h[g+96>>3]+ +h[g+16>>3];g=~~(_<y?y:_)}else g=I;B=f+-16|0;z=g+16|0;x=0;t=L;r=M;q=j;u=E;v=m;g=k;f=p;while(1){if((x|0)>=(i|0))break;k=c[(c[f+(C<<6)+4>>2]|0)+(x<<2)>>2]|0;w=k+16|0;f=c[w>>2]|0;i=c[f+112>>2]|0;if(i){i=i+16|0;j=c[(c[i>>2]|0)+96>>2]|0;if(!j){A=21;break a}s=j+56|0;f=f+16|0;c[s>>2]=c[f>>2];c[s+4>>2]=c[f+4>>2];c[s+8>>2]=c[f+8>>2];c[s+12>>2]=c[f+12>>2];a[(c[(c[i>>2]|0)+96>>2]|0)+81>>0]=1;f=c[w>>2]|0}if((a[f+156>>0]|0)!=0?($a[c[17228>>2]&31](k)|0)<<24>>24==0:0){q=t;f=r;j=u;k=v;i=o}else{s=0;q=t;j=u;k=v;A=25}b:do if((A|0)==25){while(1){A=0;p=c[w>>2]|0;i=c[(c[p+180>>2]|0)+(s<<2)>>2]|0;if(!i)break;switch(a[(c[i+16>>2]|0)+112>>0]|0){case 6:case 4:{f=q;i=r;break}default:{$f(i,1,16,64);f=q+1|0;c[r+(q<<2)>>2]=i;if(!(f&127)){g=yw(g,(q<<2)+516|0)|0;i=g;j=g;k=g;n=g;o=g}else i=r}}s=s+1|0;q=f;r=i;A=25}f=c[p+188>>2]|0;c:do if(!f)i=o;else{s=0;i=o;while(1){f=c[f+(s<<2)>>2]|0;if(!f)break c;$f(f,2,0,128);o=q+1|0;c[r+(q<<2)>>2]=f;if(!(o&127)){g=yw(i,(q<<2)+516|0)|0;f=g;j=g;k=g;n=g;i=g}else f=r;p=c[w>>2]|0;s=s+1|0;q=o;r=f;f=c[p+188>>2]|0}}while(0);f=c[p+204>>2]|0;if(!f)f=r;else{if(!(a[p+156>>0]|0)){v=p+96|0;_=+h[v>>3];s=p+240|0;h[v>>3]=+h[s>>3];h[s>>3]=_;s=0;p=r}else{s=0;p=r}while(1){f=c[f+(s<<2)>>2]|0;if(!f){f=p;break b}$f(f,0,0,128);o=q+1|0;c[p+(q<<2)>>2]=f;if(!(o&127)){g=yw(n,(q<<2)+516|0)|0;f=g;j=g;k=g;n=g;i=g}else f=p;s=s+1|0;q=o;p=f;f=c[(c[w>>2]|0)+204>>2]|0}}}while(0);u=c[V>>2]|0;w=c[u+196>>2]|0;x=x+1|0;t=q;r=f;q=u;u=j;v=k;o=i;i=c[w+(C<<6)>>2]|0;f=w}C=C+1|0;D=G;L=t;M=r;E=u;j=q;m=v;k=g;H=B;I=z}if((A|0)==21)ma(78158,78171,313,78184);c[Y>>2]=H;c[F>>2]=I;rL(E,L,4,10);c[W+84>>2]=vw((D<<5)+11520|0)|0;c[Y+16>>2]=vw(C<<5)|0;d:do if(X<<16>>16==2){f=(c[V>>2]|0)+192|0;while(1){g=c[f>>2]|0;if(!g)break d;i=g+16|0;f=c[i>>2]|0;if((a[f+156>>0]|0)==1?(c[f+104>>2]|0)!=0:0){bg(g);f=c[i>>2]|0}f=f+164|0}}while(0);z=U+48|0;A=U+-48|0;B=T+48|0;C=T+-48|0;y=+(K|0);x=0;e:while(1){if((x|0)>=(L|0))break;v=M+(x<<2)|0;r=c[v>>2]|0;s=cg(r)|0;t=r+16|0;g=c[t>>2]|0;if(!(a[g+44>>0]|0)){g=(a[g+84>>0]|0)==0?s:r;f=g;g=c[g+16>>2]|0}else f=r;i=f+16|0;if(c[g+164>>2]&32){g=c[Q>>2]|0;TN(g|0,c[i>>2]|0,176)|0;n=T;o=f;p=n+48|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));c[Q>>2]=g;o=c[f>>2]&3;n=c[T>>2]&3;c[((n|0)==3?T:B)+40>>2]=c[((o|0)==2?f:f+-48|0)+40>>2];c[((n|0)==2?T:C)+40>>2]=c[((o|0)==3?f:f+48|0)+40>>2];n=g+16|0;o=(c[i>>2]|0)+56|0;p=n+40|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));n=g+56|0;o=(c[i>>2]|0)+16|0;p=n+40|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));a[g+112>>0]=1;c[g+116>>2]=f;f=T}q=f+16|0;w=1;f=x;while(1){u=f+1|0;if((u|0)>=(L|0))break;j=M+(u<<2)|0;f=c[j>>2]|0;if((s|0)!=(cg(f)|0))break;if(!(a[(c[t>>2]|0)+113>>0]|0)){k=f+16|0;g=c[k>>2]|0;if(!(a[g+44>>0]|0)){g=(a[g+84>>0]|0)==0?s:f;f=g;g=c[g+16>>2]|0}i=f+16|0;if(c[g+164>>2]&32){g=c[R>>2]|0;TN(g|0,c[i>>2]|0,176)|0;n=U;o=f;p=n+48|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));c[R>>2]=g;o=c[f>>2]&3;n=c[U>>2]&3;c[((n|0)==3?U:z)+40>>2]=c[((o|0)==2?f:f+-48|0)+40>>2];c[((n|0)==2?U:A)+40>>2]=c[((o|0)==3?f:f+48|0)+40>>2];n=g+16|0;o=(c[i>>2]|0)+56|0;p=n+40|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));n=g+56|0;o=(c[i>>2]|0)+16|0;p=n+40|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));a[g+112>>0]=1;c[g+116>>2]=f}i=c[q>>2]|0;f=g+16|0;n=N;o=i+16|0;p=n+40|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));n=O;o=f;p=n+40|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));if(Wf(N,O)|0)break;f=g+56|0;n=N;o=i+56|0;p=n+40|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));n=O;o=f;p=n+40|0;do{c[n>>2]=c[o>>2];n=n+4|0;o=o+4|0}while((n|0)<(p|0));if(Wf(N,O)|0)break;K=c[t>>2]|0;if((c[K+164>>2]&15|0)==2?(c[K+96>>2]|0)!=(c[(c[k>>2]|0)+96>>2]|0):0)break;if(c[(c[(c[j>>2]|0)+16>>2]|0)+164>>2]&64|0)break}w=w+1|0;f=u}if(S){if((w|0)==1)f=O;else f=vw(w<<2)|0;c[f>>2]=cg(c[v>>2]|0)|0;g=1;while(1){if((g|0)>=(w|0))break;c[f+(g<<2)>>2]=c[v+(g<<2)>>2];g=g+1|0}uy(d,f,w,P,17224);if((w|0)>1)_I(f);x=u;continue}f=c[r>>2]&3;K=c[((f|0)==3?r:r+48|0)+40>>2]|0;f=c[((f|0)==2?r:r+-48|0)+40>>2]|0;g=c[K+16>>2]|0;i=c[g+232>>2]|0;if((K|0)!=(f|0))if((i|0)==(c[(c[f+16>>2]|0)+232>>2]|0)){dg(d,Y,W,M,x,w,P);x=u;continue}else{eg(d,Y,W,M,x,w,P);x=u;continue}f=c[V>>2]|0;do if((i|0)==(b[f+238>>1]|0))if((i|0)>0){f=~~(+h[(c[(c[c[(c[f+196>>2]|0)+(i+-1<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]-+h[g+24>>3]);break}else{f=~~+h[g+80>>3];break}else if((i|0)==(b[f+236>>1]|0)){f=~~(+h[g+24>>3]-+h[(c[(c[c[(c[f+196>>2]|0)+(i+1<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]);break}else{f=c[f+196>>2]|0;_=+h[g+24>>3];K=~~(+h[(c[(c[c[f+(i+-1<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]-_);f=~~(_-+h[(c[(c[c[f+(i+1<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]);f=(K|0)<(f|0)?K:f;break}while(0);Rz(W,M,x,w,y,+((f|0)/2|0|0),17224);f=0;while(1){if((f|0)>=(w|0)){x=u;continue e}g=c[(c[(c[M+(f+x<<2)>>2]|0)+16>>2]|0)+96>>2]|0;if(g|0)bB(d,g);f=f+1|0}}f=(c[V>>2]|0)+192|0;while(1){g=c[f>>2]|0;if(!g)break;i=g+16|0;f=c[i>>2]|0;if((a[f+156>>0]|0)==1?(c[f+104>>2]|0)!=0:0){bg(g);bB(d,c[(c[i>>2]|0)+104>>2]|0);f=c[i>>2]|0}f=f+164|0}if(!e){n=W;k=W}else{fg(d);n=W;k=W}}f:do if((c[42241]|0)!=0|(c[42242]|0)!=0?(c[42247]|0)!=0|(c[42246]|0)!=0:0){j=co(d)|0;while(1){if(!j)break f;g:do if(c[42241]|0){f=Sm(d,j)|0;while(1){if(!f)break g;g=f+-48|0;i=(c[f>>2]&3|0)==2?f:g;if(c[(c[i+16>>2]|0)+100>>2]|0){Zz(i,1)|0;bB(d,c[(c[((c[f>>2]&3|0)==2?f:g)+16>>2]|0)+100>>2]|0)}f=Tm(d,f)|0}}while(0);h:do if(c[42242]|0){f=Pm(d,j)|0;while(1){if(!f)break h;g=f+16|0;if(c[(c[g>>2]|0)+104>>2]|0?Zz(f,0)|0:0)bB(d,c[(c[g>>2]|0)+104>>2]|0);f=Rm(d,f)|0}}while(0);j=eo(d,j)|0}}while(0);switch(X&15){case 4:case 8:break;default:{_I(m);_I(c[n+84>>2]|0);_I(k);_I(c[Y+16>>2]|0);my()}}c[42181]=1;c[42182]=1}while(0);l=Z;return}function Zf(a){a=a|0;var b=0,d=0,e=0.0,f=0;b=co(a)|0;while(1){if(!b)break;d=c[b+16>>2]|0;if(c[d+204>>2]|0){f=d+96|0;e=+h[f>>3];d=d+240|0;h[f>>3]=+h[d>>3];h[d>>3]=e}b=eo(a,b)|0}return}function _f(b){b=b|0;var d=0,e=0,f=0,g=0;d=(c[b+16>>2]|0)+192|0;a:while(1){f=c[d>>2]|0;if(!f){d=12;break}g=f+16|0;d=c[g>>2]|0;do if((a[d+156>>0]|0)==1){e=c[d+112>>2]|0;if(!e){e=c[d+104>>2]|0;if(!e)break;bg(f);d=e}else{e=c[(c[e+16>>2]|0)+96>>2]|0;if(!e){d=6;break a}f=e+56|0;d=d+16|0;c[f>>2]=c[d>>2];c[f+4>>2]=c[d+4>>2];c[f+8>>2]=c[d+8>>2];c[f+12>>2]=c[d+12>>2];a[e+81>>0]=1;d=e}bB(b,d);d=c[g>>2]|0}while(0);d=d+164|0}if((d|0)==6)ma(78358,78171,234,78377);else if((d|0)==12)return}function $f(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0;do if(!d){g=c[b>>2]&3;d=c[((g|0)==3?b:b+48|0)+40>>2]|0;g=c[((g|0)==2?b:b+-48|0)+40>>2]|0;if((d|0)!=(g|0)){d=(c[(c[d+16>>2]|0)+232>>2]|0)==(c[(c[g+16>>2]|0)+232>>2]|0)?2:1;break}d=c[b+16>>2]|0;if(!(a[d+44>>0]|0))d=(a[d+84>>0]|0)==0?8:4;else d=4}while(0);a:do if(!e)switch(d|0){case 1:{e=c[b>>2]&3;e=(c[(c[(c[((e|0)==3?b:b+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)<(c[(c[(c[((e|0)==2?b:b+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)?16:32;break a}case 2:{e=c[b>>2]&3;e=(c[(c[(c[((e|0)==3?b:b+48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)<(c[(c[(c[((e|0)==2?b:b+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)?16:32;break a}default:{e=16;break a}}while(0);c[(c[b+16>>2]|0)+164>>2]=d|f|e;return}function ag(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0;D=l;l=l+624|0;z=D+584|0;y=D+544|0;s=D+368|0;e=D+192|0;t=D+96|0;v=D;u=t+16|0;c[u>>2]=s;w=v+16|0;c[w>>2]=e;C=c[b>>2]|0;B=c[d>>2]|0;x=C+16|0;q=c[x>>2]|0;d=c[q+164>>2]|0;f=d&15;A=B+16|0;b=c[A>>2]|0;g=c[b+164>>2]&15;do if((g|0)==(f|0)){p=cg(C)|0;r=cg(B)|0;n=c[p>>2]|0;g=n&3;f=c[(c[((g|0)==3?p:p+48|0)+40>>2]|0)+16>>2]|0;g=c[(c[((g|0)==2?p:p+-48|0)+40>>2]|0)+16>>2]|0;i=(c[f+232>>2]|0)-(c[g+232>>2]|0)|0;o=c[r>>2]|0;m=o&3;k=c[(c[((m|0)==3?r:r+48|0)+40>>2]|0)+16>>2]|0;m=c[(c[((m|0)==2?r:r+-48|0)+40>>2]|0)+16>>2]|0;j=(c[k+232>>2]|0)-(c[m+232>>2]|0)|0;i=(i|0)>-1?i:0-i|0;j=(j|0)>-1?j:0-j|0;if((i|0)!=(j|0)){b=i-j|0;break}g=~~(+h[f+16>>3]-+h[g+16>>3]);g=(g|0)>-1?g:0-g|0;f=~~(+h[k+16>>3]-+h[m+16>>3]);f=(f|0)>-1?f:0-f|0;if((g|0)!=(f|0)){b=g-f|0;break}g=n>>>4;f=o>>>4;if((g|0)!=(f|0)){b=g-f|0;break}if(!(a[q+44>>0]|0)){d=(a[q+84>>0]|0)==0?p:C;g=d;d=c[(c[d+16>>2]|0)+164>>2]|0}else g=C;f=g+16|0;if(d&32){TN(s|0,c[f>>2]|0,176)|0;i=t;j=g;k=i+48|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));c[u>>2]=s;j=c[g>>2]&3;i=c[t>>2]&3;c[((i|0)==3?t:t+48|0)+40>>2]=c[((j|0)==2?g:g+-48|0)+40>>2];c[((i|0)==2?t:t+-48|0)+40>>2]=c[((j|0)==3?g:g+48|0)+40>>2];i=s+16|0;j=(c[f>>2]|0)+56|0;k=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));i=s+56|0;j=(c[f>>2]|0)+16|0;k=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));a[s+112>>0]=1;c[s+116>>2]=g;g=t;b=c[A>>2]|0}if(!(a[b+44>>0]|0)){b=(a[b+84>>0]|0)==0?r:B;f=b;b=c[b+16>>2]|0}else f=B;d=f+16|0;if(!(c[b+164>>2]&32))e=b;else{TN(e|0,c[d>>2]|0,176)|0;i=v;j=f;k=i+48|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));c[w>>2]=e;j=c[f>>2]&3;i=c[v>>2]&3;c[((i|0)==3?v:v+48|0)+40>>2]=c[((j|0)==2?f:f+-48|0)+40>>2];c[((i|0)==2?v:v+-48|0)+40>>2]=c[((j|0)==3?f:f+48|0)+40>>2];i=e+16|0;j=(c[d>>2]|0)+56|0;k=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));i=e+56|0;j=(c[d>>2]|0)+16|0;k=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));a[e+112>>0]=1;c[e+116>>2]=f}d=c[g+16>>2]|0;b=e+16|0;i=y;j=d+16|0;k=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));i=z;j=b;k=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));b=Wf(y,z)|0;if(!b){b=e+56|0;i=y;j=d+56|0;k=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));i=z;j=b;k=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(k|0));b=Wf(y,z)|0;if(!b){d=c[(c[x>>2]|0)+164>>2]&192;b=c[(c[A>>2]|0)+164>>2]&192;if((d|0)==(b|0)){b=((c[C>>2]|0)>>>4)-((c[B>>2]|0)>>>4)|0;break}else{b=d-b|0;break}}}}else b=g-f|0;while(0);l=D;return b|0}function bg(b){b=b|0;var d=0,e=0,f=0,g=0.0,i=0.0;f=b+16|0;d=c[f>>2]|0;if(c[d+176>>2]|0){d=c[d+180>>2]|0;while(1){d=(c[d>>2]|0)+16|0;e=c[d>>2]|0;if(!(a[e+112>>0]|0))break;else d=e+116|0}e=c[e+96>>2]|0;g=+h[e+24>>3];i=+h[e+32>>3];e=(c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&1|0)!=0;b=c[f>>2]|0;f=c[(c[d>>2]|0)+96>>2]|0;h[f+56>>3]=(e?i:g)*.5+ +h[b+16>>3];h[f+64>>3]=+h[b+24>>3];a[f+81>>0]=1}return}function cg(a){a=a|0;var b=0,d=0;while(1){b=c[a+16>>2]|0;d=c[b+172>>2]|0;if(!d)break;else a=d}while(1){b=c[b+116>>2]|0;if(!b)break;a=b;b=c[b+16>>2]|0}return a|0}function dg(b,d,e,f,g,i,j){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;j=j|0;var k=0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0.0,w=0,x=0,y=0,z=0,A=0,B=0,C=0.0,D=0.0,E=0.0,F=0.0,G=0.0;B=l;l=l+1712|0;x=B+1664|0;s=B+1488|0;t=B+1392|0;A=B+1696|0;y=B+696|0;z=B;p=t+16|0;c[p>>2]=s;q=c[f+(g<<2)>>2]|0;r=q+16|0;k=c[r>>2]|0;u=a[k+113>>0]|0;if(c[k+164>>2]&32){TN(s|0,k|0,176)|0;k=t;n=q;o=k+48|0;do{c[k>>2]=c[n>>2];k=k+4|0;n=n+4|0}while((k|0)<(o|0));c[p>>2]=s;k=c[t>>2]&3;c[((k|0)==3?t:t+48|0)+40>>2]=c[((c[q>>2]&3|0)==2?q:q+-48|0)+40>>2];c[((k|0)==2?t:t+-48|0)+40>>2]=c[((c[q>>2]&3|0)==3?q:q+48|0)+40>>2];k=s+16|0;n=(c[r>>2]|0)+56|0;o=k+40|0;do{c[k>>2]=c[n>>2];k=k+4|0;n=n+4|0}while((k|0)<(o|0));k=s+56|0;n=(c[r>>2]|0)+16|0;o=k+40|0;do{c[k>>2]=c[n>>2];k=k+4|0;n=n+4|0}while((k|0)<(o|0));a[s+112>>0]=1;c[s+116>>2]=q;q=t}k=1;while(1){if((k|0)>=(i|0)){w=6;break}if(!(a[(c[(c[f+(k+g<<2)>>2]|0)+16>>2]|0)+113>>0]|0))k=k+1|0;else{w=7;break}}a:do if((w|0)==6)if(!(u<<24>>24)){k=c[q+16>>2]|0;if(c[k+96>>2]|0){Dg(b,d,e,q,j);break}if((j|0)==2){A=c[q>>2]&3;Eg(c[((A|0)==3?q:q+48|0)+40>>2]|0,c[((A|0)==2?q:q+-48|0)+40>>2]|0,f,g,i,2);break}t=a[k+49>>0]|0;u=a[k+89>>0]|0;if(!(t<<24>>24==1&u<<24>>24!=4)?!(t<<24>>24!=4&u<<24>>24==1):0){p=c[q>>2]&3;o=c[((p|0)==3?q:q+48|0)+40>>2]|0;p=c[((p|0)==2?q:q+-48|0)+40>>2]|0;k=c[o+16>>2]|0;n=c[k+232>>2]|0;if((n|0)>0){u=c[(c[b+16>>2]|0)+196>>2]|0;t=n+~(a[(c[(c[b+60>>2]|0)+16>>2]|0)+113>>0]&1)|0;m=+h[(c[(c[c[u+(t<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]-+h[u+(t<<6)+16>>3]-+h[k+24>>3]-+h[u+(n<<6)+24>>3]}else m=+(c[(c[b+16>>2]|0)+252>>2]|0);C=+(i+1|0);v=+(c[d+12>>2]|0)/C;m=m/C;Gg(b,d,e,o,q,y,1);Gg(b,d,e,p,q,z,0);s=y+52|0;t=z+52|0;p=(j|0)==10;q=e+80|0;k=0;while(1){if((k|0)>=(i|0))break a;r=c[f+(k+g<<2)>>2]|0;o=c[s>>2]|0;n=o+-1|0;G=+h[y+56+(n<<5)>>3];F=+h[y+56+(n<<5)+16>>3];E=+h[y+56+(n<<5)+24>>3];h[16878]=G;h[16879]=E;k=k+1|0;C=+(k|0);D=v*C;h[16880]=F+D;C=E+m*C;h[16881]=C;h[16882]=G;h[16883]=C;n=(c[t>>2]|0)+-1|0;G=+h[z+56+(n<<5)+16>>3];h[16884]=G;h[16885]=C+m;E=+h[z+56+(n<<5)>>3];F=+h[z+56+(n<<5)+24>>3];h[16888]=G;h[16887]=F;h[16886]=E-D;h[16889]=C;n=0;while(1){if((n|0)>=(o|0)){n=0;break}o=y+56+(n<<5)|0;c[x>>2]=c[o>>2];c[x+4>>2]=c[o+4>>2];c[x+8>>2]=c[o+8>>2];c[x+12>>2]=c[o+12>>2];c[x+16>>2]=c[o+16>>2];c[x+20>>2]=c[o+20>>2];c[x+24>>2]=c[o+24>>2];c[x+28>>2]=c[o+28>>2];Lz(e,x);n=n+1|0;o=c[s>>2]|0}while(1){if((n|0)==3)break;j=135024+(n<<5)|0;c[x>>2]=c[j>>2];c[x+4>>2]=c[j+4>>2];c[x+8>>2]=c[j+8>>2];c[x+12>>2]=c[j+12>>2];c[x+16>>2]=c[j+16>>2];c[x+20>>2]=c[j+20>>2];c[x+24>>2]=c[j+24>>2];c[x+28>>2]=c[j+28>>2];Lz(e,x);n=n+1|0}o=c[t>>2]|0;while(1){n=o+-1|0;if((o|0)<=0)break;o=z+56+(n<<5)|0;c[x>>2]=c[o>>2];c[x+4>>2]=c[o+4>>2];c[x+8>>2]=c[o+8>>2];c[x+12>>2]=c[o+12>>2];c[x+16>>2]=c[o+16>>2];c[x+20>>2]=c[o+20>>2];c[x+24>>2]=c[o+24>>2];c[x+28>>2]=c[o+28>>2];Lz(e,x);o=n}if(p)n=ny(e,A)|0;else n=ty(e,A)|0;o=c[A>>2]|0;if(!o)break a;Jz(r,c[((c[r>>2]&3|0)==2?r:r+-48|0)+40>>2]|0,n,o,17224);c[q>>2]=0}}Fg(b,d,e,f,g,i,q,(j|0)==10&1)}else w=7;while(0);if((w|0)==7)Cg(b,f,g,i,q,j);l=B;return}function eg(b,d,e,f,g,i,j){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;j=j|0;var k=0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,P=0,Q=0,R=0,S=0,T=0,U=0,V=0,W=0,X=0,Y=0,Z=0,_=0,$=0,aa=0,ba=0,ca=0;ba=l;l=l+2576|0;S=ba+2528|0;_=ba+2568|0;k=ba+2352|0;n=ba+2176|0;t=ba+1904|0;Y=ba+1808|0;$=ba+1712|0;T=ba+1016|0;U=ba+320|0;V=ba+256|0;X=ba+2564|0;Z=ba+2560|0;z=ba+288|0;A=ba+224|0;L=ba+192|0;M=ba+160|0;N=ba+128|0;P=ba+96|0;Q=ba+64|0;R=ba+32|0;W=ba;s=t+16|0;c[s>>2]=k;o=Y+16|0;c[o>>2]=n;aa=$+16|0;c[aa>>2]=ba+2e3;if(!(c[41920]|0)){c[41920]=ww(32e3)|0;c[41921]=ww(32e3)|0;c[41922]=2e3;c[41923]=2e3}u=c[f+(g<<2)>>2]|0;K=c[u>>2]&3;p=u+48|0;q=u+-48|0;K=(c[(c[(c[((K|0)==3?u:p)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((K|0)==2?u:q)+40>>2]|0)+16>>2]|0)+232>>2]|0)|0;r=u+16|0;if((((K|0)>-1?K:0-K|0)|0)<=1){k=c[r>>2]|0;if(!(c[k+164>>2]&32)){K=u;n=0}else{n=c[s>>2]|0;TN(n|0,k|0,176)|0;w=t;x=u;y=w+48|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));c[s>>2]=n;w=c[t>>2]&3;c[((w|0)==3?t:t+48|0)+40>>2]=c[((c[u>>2]&3|0)==2?u:q)+40>>2];c[((w|0)==2?t:t+-48|0)+40>>2]=c[((c[u>>2]&3|0)==3?u:p)+40>>2];w=n+16|0;x=(c[r>>2]|0)+56|0;y=w+40|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));k=c[s>>2]|0;w=k+56|0;x=(c[r>>2]|0)+16|0;y=w+40|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));a[k+112>>0]=1;n=0;J=12}}else{TN(k|0,c[r>>2]|0,176)|0;w=t;x=u;y=w+48|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));w=t+48|0;x=p;y=w+48|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));c[s>>2]=k;k=c[r>>2]|0;if(!(c[k+164>>2]&32)){TN(n|0,k|0,176)|0;w=Y;x=u;y=w+48|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));c[o>>2]=n;o=c[t>>2]|0;c[((o&3|0)==3?t:t+48|0)+40>>2]=c[((c[u>>2]&3|0)==3?u:p)+40>>2];w=Y+48|0;x=p;y=w+48|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0))}else{n=c[o>>2]|0;TN(n|0,k|0,176)|0;w=Y;x=u;y=w+48|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));c[o>>2]=n;w=c[Y>>2]&3;c[((w|0)==3?Y:Y+48|0)+40>>2]=c[((c[u>>2]&3|0)==2?u:q)+40>>2];c[((w|0)==2?Y:Y+-48|0)+40>>2]=c[((c[u>>2]&3|0)==3?u:p)+40>>2];w=n+16|0;x=(c[r>>2]|0)+56|0;y=w+40|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));k=c[o>>2]|0;w=k+56|0;x=(c[r>>2]|0)+16|0;y=w+40|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));a[k+112>>0]=1;c[k+116>>2]=u;o=c[t>>2]|0;c[((o&3|0)==3?t:t+48|0)+40>>2]=c[((c[u>>2]&3|0)==2?u:q)+40>>2];w=(c[s>>2]|0)+16|0;x=(c[r>>2]|0)+56|0;y=w+40|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0))}k=cg(u)|0;while(1){n=c[(c[k+16>>2]|0)+172>>2]|0;if(!n)break;else k=n}c[((o&3|0)==2?t:t+-48|0)+40>>2]=c[((c[k>>2]&3|0)==2?k:k+-48|0)+40>>2];k=c[s>>2]|0;a[k+84>>0]=0;a[k+112>>0]=1;n=k+56|0;c[n>>2]=0;c[n+4>>2]=0;c[n+8>>2]=0;c[n+12>>2]=0;n=1;J=12}if((J|0)==12){c[k+116>>2]=u;K=t}H=(j|0)==2;if(H?(v=ig(b,K,c[41920]|0,_)|0,c[Z>>2]=v,(v|0)!=0):0)J=63;else J=15;a:do if((J|0)==15){G=(j|0)==10;c[Z>>2]=0;o=c[K>>2]&3;k=c[((o|0)==3?K:K+48|0)+40>>2]|0;o=c[((o|0)==2?K:K+-48|0)+40>>2]|0;c[_>>2]=o;jg(z,b,d,k,0,K);c[T>>2]=c[z>>2];c[T+4>>2]=c[z+4>>2];c[T+8>>2]=c[z+8>>2];c[T+12>>2]=c[z+12>>2];c[T+16>>2]=c[z+16>>2];c[T+20>>2]=c[z+20>>2];c[T+24>>2]=c[z+24>>2];c[T+28>>2]=c[z+28>>2];c[V>>2]=c[z>>2];c[V+4>>2]=c[z+4>>2];c[V+8>>2]=c[z+8>>2];c[V+12>>2]=c[z+12>>2];c[V+16>>2]=c[z+16>>2];c[V+20>>2]=c[z+20>>2];Mz(e,K,1,T,kg(k)|0);B=T+52|0;I=(c[B>>2]|0)+-1|0;D=V+24|0;h[D>>3]=+h[T+56+(I<<5)+24>>3];E=V+8|0;h[E>>3]=+h[T+56+(I<<5)+8>>3];I=c[k+16>>2]|0;F=b+16|0;m=+h[I+24>>3]-+h[(c[(c[F>>2]|0)+196>>2]|0)+(c[I+232>>2]<<6)+16>>3];c[S>>2]=c[V>>2];c[S+4>>2]=c[V+4>>2];c[S+8>>2]=c[V+8>>2];c[S+12>>2]=c[V+12>>2];c[S+16>>2]=c[V+16>>2];c[S+20>>2]=c[V+20>>2];c[S+24>>2]=c[V+24>>2];c[S+28>>2]=c[V+28>>2];lg(A,S,1,m);c[V>>2]=c[A>>2];c[V+4>>2]=c[A+4>>2];c[V+8>>2]=c[A+8>>2];c[V+12>>2]=c[A+12>>2];c[V+16>>2]=c[A+16>>2];c[V+20>>2]=c[A+20>>2];c[V+24>>2]=c[A+24>>2];c[V+28>>2]=c[A+28>>2];A=V+16|0;if(+h[V>>3]<+h[A>>3]?+h[E>>3]<+h[D>>3]:0){I=c[B>>2]|0;c[B>>2]=I+1;I=T+56+(I<<5)|0;c[I>>2]=c[V>>2];c[I+4>>2]=c[V+4>>2];c[I+8>>2]=c[V+8>>2];c[I+12>>2]=c[V+12>>2];c[I+16>>2]=c[V+16>>2];c[I+20>>2]=c[V+20>>2];c[I+24>>2]=c[V+24>>2];c[I+28>>2]=c[V+28>>2]}w=b+60|0;C=U+52|0;x=e+56|0;y=e+69|0;j=e+16|0;z=e+29|0;I=K;q=0;r=-1;b:while(1){s=k;t=0;k=0;u=I;while(1){p=o;v=o;if((a[(c[p+16>>2]|0)+156>>0]|0)!=1)break b;if(($a[c[17228>>2]&31](p)|0)<<24>>24)break b;o=t|1;ca=135024+(t<<5)|0;mg(L,d,b,c[(c[s+16>>2]|0)+232>>2]|0);c[ca>>2]=c[L>>2];c[ca+4>>2]=c[L+4>>2];c[ca+8>>2]=c[L+8>>2];c[ca+12>>2]=c[L+12>>2];c[ca+16>>2]=c[L+16>>2];c[ca+20>>2]=c[L+20>>2];c[ca+24>>2]=c[L+24>>2];c[ca+28>>2]=c[L+28>>2];if(!k){q=ng(p)|0;k=(q|0)<((a[(c[(c[w>>2]|0)+16>>2]|0)+113>>0]<<1&2)+3&255|0);q=k?q:q+-2|0;r=k?r:1;k=(k^1)&1}if(!((k|0)==0|(r|0)>0))break;ca=135024+(o<<5)|0;jg(M,b,d,p,u,c[c[(c[p+16>>2]|0)+180>>2]>>2]|0);c[ca>>2]=c[M>>2];c[ca+4>>2]=c[M+4>>2];c[ca+8>>2]=c[M+8>>2];c[ca+12>>2]=c[M+12>>2];c[ca+16>>2]=c[M+16>>2];c[ca+20>>2]=c[M+20>>2];c[ca+24>>2]=c[M+24>>2];c[ca+28>>2]=c[M+28>>2];ca=c[c[(c[v+16>>2]|0)+180>>2]>>2]|0;o=c[ca>>2]&3;s=c[((o|0)==3?ca:ca+48|0)+40>>2]|0;o=c[((o|0)==2?ca:ca+-48|0)+40>>2]|0;c[_>>2]=o;t=t+2|0;r=r+-1|0;u=ca}jg(N,b,d,p,u,c[c[(c[p+16>>2]|0)+180>>2]>>2]|0);c[U>>2]=c[N>>2];c[U+4>>2]=c[N+4>>2];c[U+8>>2]=c[N+8>>2];c[U+12>>2]=c[N+12>>2];c[U+16>>2]=c[N+16>>2];c[U+20>>2]=c[N+20>>2];c[U+24>>2]=c[N+24>>2];c[U+28>>2]=c[N+28>>2];Pz(e,u,1,U,kg(c[((c[u>>2]&3|0)==2?u:u+-48|0)+40>>2]|0)|0);ca=U+56+((c[C>>2]|0)+-1<<5)|0;t=c[v+16>>2]|0;m=+h[(c[(c[F>>2]|0)+196>>2]|0)+(c[t+232>>2]<<6)+24>>3]+ +h[t+24>>3];c[S>>2]=c[ca>>2];c[S+4>>2]=c[ca+4>>2];c[S+8>>2]=c[ca+8>>2];c[S+12>>2]=c[ca+12>>2];c[S+16>>2]=c[ca+16>>2];c[S+20>>2]=c[ca+20>>2];c[S+24>>2]=c[ca+24>>2];c[S+28>>2]=c[ca+28>>2];lg(V,S,4,m);if(+h[V>>3]<+h[A>>3]?+h[E>>3]<+h[D>>3]:0){ca=c[C>>2]|0;c[C>>2]=ca+1;ca=U+56+(ca<<5)|0;c[ca>>2]=c[V>>2];c[ca+4>>2]=c[V+4>>2];c[ca+8>>2]=c[V+8>>2];c[ca+12>>2]=c[V+12>>2];c[ca+16>>2]=c[V+16>>2];c[ca+20>>2]=c[V+20>>2];c[ca+24>>2]=c[V+24>>2];c[ca+28>>2]=c[V+28>>2]}h[x>>3]=1.5707963267948966;a[y>>0]=1;og(e,I,u,T,U,o);if(!G){k=ty(e,X)|0;o=c[X>>2]|0;if(H&(o|0)>4){ca=k+16|0;c[ca>>2]=c[k>>2];c[ca+4>>2]=c[k+4>>2];c[ca+8>>2]=c[k+8>>2];c[ca+12>>2]=c[k+12>>2];ca=k+32|0;o=k+(o+-1<<4)|0;c[ca>>2]=c[o>>2];c[ca+4>>2]=c[o+4>>2];c[ca+8>>2]=c[o+8>>2];c[ca+12>>2]=c[o+12>>2];UN(k+48|0,o|0,16)|0;c[X>>2]=4;o=4}else J=33}else{k=ny(e,X)|0;o=c[X>>2]|0;J=33}if((J|0)==33){J=0;if(!o)break a}u=c[Z>>2]|0;p=u+o|0;if((p|0)>(c[41922]|0)){c[41922]=p<<1;t=yw(c[41920]|0,p<<5)|0;c[41920]=t;o=c[X>>2]|0}else t=c[41920]|0;s=0;p=u;while(1){if((s|0)>=(o|0))break;ca=t+(p<<4)|0;u=k+(s<<4)|0;c[ca>>2]=c[u>>2];c[ca+4>>2]=c[u+4>>2];c[ca+8>>2]=c[u+8>>2];c[ca+12>>2]=c[u+12>>2];s=s+1|0;p=p+1|0}c[Z>>2]=p;o=pg(c[c[(c[v+16>>2]|0)+180>>2]>>2]|0,q,t,Z)|0;qg(I,e);p=c[o>>2]&3;k=c[((p|0)==3?o:o+48|0)+40>>2]|0;p=c[((p|0)==2?o:o+-48|0)+40>>2]|0;c[_>>2]=p;I=k+16|0;jg(P,b,d,k,c[c[(c[I>>2]|0)+172>>2]>>2]|0,o);c[T>>2]=c[P>>2];c[T+4>>2]=c[P+4>>2];c[T+8>>2]=c[P+8>>2];c[T+12>>2]=c[P+12>>2];c[T+16>>2]=c[P+16>>2];c[T+20>>2]=c[P+20>>2];c[T+24>>2]=c[P+24>>2];c[T+28>>2]=c[P+28>>2];Mz(e,o,1,T,kg(k)|0);ca=T+56+((c[B>>2]|0)+-1<<5)|0;I=c[I>>2]|0;m=+h[I+24>>3]-+h[(c[(c[F>>2]|0)+196>>2]|0)+(c[I+232>>2]<<6)+16>>3];c[S>>2]=c[ca>>2];c[S+4>>2]=c[ca+4>>2];c[S+8>>2]=c[ca+8>>2];c[S+12>>2]=c[ca+12>>2];c[S+16>>2]=c[ca+16>>2];c[S+20>>2]=c[ca+20>>2];c[S+24>>2]=c[ca+24>>2];c[S+28>>2]=c[ca+28>>2];lg(V,S,1,m);if(+h[V>>3]<+h[A>>3]?+h[E>>3]<+h[D>>3]:0){ca=c[B>>2]|0;c[B>>2]=ca+1;ca=T+56+(ca<<5)|0;c[ca>>2]=c[V>>2];c[ca+4>>2]=c[V+4>>2];c[ca+8>>2]=c[V+8>>2];c[ca+12>>2]=c[V+12>>2];c[ca+16>>2]=c[V+16>>2];c[ca+20>>2]=c[V+20>>2];c[ca+24>>2]=c[V+24>>2];c[ca+28>>2]=c[V+28>>2]}h[j>>3]=-1.5707963267948966;a[z>>0]=1;I=o;o=p}k=t|1;r=135024+(t<<5)|0;mg(Q,d,b,c[(c[s+16>>2]|0)+232>>2]|0);c[r>>2]=c[Q>>2];c[r+4>>2]=c[Q+4>>2];c[r+8>>2]=c[Q+8>>2];c[r+12>>2]=c[Q+12>>2];c[r+16>>2]=c[Q+16>>2];c[r+20>>2]=c[Q+20>>2];c[r+24>>2]=c[Q+24>>2];c[r+28>>2]=c[Q+28>>2];jg(R,b,d,p,u,0);c[U>>2]=c[R>>2];c[U+4>>2]=c[R+4>>2];c[U+8>>2]=c[R+8>>2];c[U+12>>2]=c[R+12>>2];c[U+16>>2]=c[R+16>>2];c[U+20>>2]=c[R+20>>2];c[U+24>>2]=c[R+24>>2];c[U+28>>2]=c[R+28>>2];c[V>>2]=c[R>>2];c[V+4>>2]=c[R+4>>2];c[V+8>>2]=c[R+8>>2];c[V+12>>2]=c[R+12>>2];c[V+16>>2]=c[R+16>>2];c[V+20>>2]=c[R+20>>2];c[V+24>>2]=c[R+24>>2];c[V+28>>2]=c[R+28>>2];r=(n|0)!=0;s=u+-48|0;Pz(e,r?Y:u,1,U,kg(c[((c[u>>2]&3|0)==2?u:s)+40>>2]|0)|0);ca=(c[C>>2]|0)+-1|0;h[D>>3]=+h[U+56+(ca<<5)+24>>3];h[E>>3]=+h[U+56+(ca<<5)+8>>3];ca=c[v+16>>2]|0;m=+h[(c[(c[F>>2]|0)+196>>2]|0)+(c[ca+232>>2]<<6)+24>>3]+ +h[ca+24>>3];c[S>>2]=c[V>>2];c[S+4>>2]=c[V+4>>2];c[S+8>>2]=c[V+8>>2];c[S+12>>2]=c[V+12>>2];c[S+16>>2]=c[V+16>>2];c[S+20>>2]=c[V+20>>2];c[S+24>>2]=c[V+24>>2];c[S+28>>2]=c[V+28>>2];lg(W,S,4,m);c[V>>2]=c[W>>2];c[V+4>>2]=c[W+4>>2];c[V+8>>2]=c[W+8>>2];c[V+12>>2]=c[W+12>>2];c[V+16>>2]=c[W+16>>2];c[V+20>>2]=c[W+20>>2];c[V+24>>2]=c[W+24>>2];c[V+28>>2]=c[W+28>>2];if(+h[V>>3]<+h[A>>3]?+h[E>>3]<+h[D>>3]:0){ca=c[C>>2]|0;c[C>>2]=ca+1;ca=U+56+(ca<<5)|0;c[ca>>2]=c[V>>2];c[ca+4>>2]=c[V+4>>2];c[ca+8>>2]=c[V+8>>2];c[ca+12>>2]=c[V+12>>2];c[ca+16>>2]=c[V+16>>2];c[ca+20>>2]=c[V+20>>2];c[ca+24>>2]=c[V+24>>2];c[ca+28>>2]=c[V+28>>2]}og(e,I,u,T,U,k);if(G)q=ny(e,X)|0;else q=ty(e,X)|0;k=c[X>>2]|0;if(!(H&(k|0)>4)){if(!k)break}else{ca=q+16|0;c[ca>>2]=c[q>>2];c[ca+4>>2]=c[q+4>>2];c[ca+8>>2]=c[q+8>>2];c[ca+12>>2]=c[q+12>>2];ca=q+32|0;k=q+(k+-1<<4)|0;c[ca>>2]=c[k>>2];c[ca+4>>2]=c[k+4>>2];c[ca+8>>2]=c[k+8>>2];c[ca+12>>2]=c[k+12>>2];UN(q+48|0,k|0,16)|0;c[X>>2]=4;k=4}o=c[Z>>2]|0;n=o+k|0;if((n|0)>(c[41922]|0)){c[41922]=n<<1;p=yw(c[41920]|0,n<<5)|0;c[41920]=p;k=c[X>>2]|0}else p=c[41920]|0;n=0;while(1){if((n|0)>=(k|0))break;ca=p+(o<<4)|0;X=q+(n<<4)|0;c[ca>>2]=c[X>>2];c[ca+4>>2]=c[X+4>>2];c[ca+8>>2]=c[X+8>>2];c[ca+12>>2]=c[X+12>>2];n=n+1|0;o=o+1|0}c[Z>>2]=o;qg(I,e);if(r)k=(c[Y>>2]&3|0)==2?Y:Y+-48|0;else k=(c[u>>2]&3|0)==2?u:s;c[_>>2]=c[k+40>>2];v=o;J=63}while(0);c:do if((J|0)==63){if((i|0)==1){Jz(K,c[_>>2]|0,c[41920]|0,v,17224);break}t=d+12|0;u=v+-1|0;m=+((O(c[t>>2]|0,i+-1|0)|0)/2|0|0);n=c[41920]|0;k=1;while(1){if((k|0)>=(u|0))break;ca=n+(k<<4)|0;h[ca>>3]=+h[ca>>3]-m;k=k+1|0}k=c[41922]|0;if((k|0)>(c[41923]|0)){c[41923]=k;o=yw(c[41921]|0,k<<4)|0;c[41921]=o;n=c[41920]|0}else o=c[41921]|0;k=0;while(1){if((k|0)>=(v|0))break;ca=o+(k<<4)|0;d=n+(k<<4)|0;c[ca>>2]=c[d>>2];c[ca+4>>2]=c[d+4>>2];c[ca+8>>2]=c[d+8>>2];c[ca+12>>2]=c[d+12>>2];k=k+1|0}Jz(K,c[_>>2]|0,o,v,17224);r=$+48|0;s=$+-48|0;q=1;while(1){if((q|0)>=(i|0))break c;o=c[f+(q+g<<2)>>2]|0;p=o+16|0;k=c[p>>2]|0;if(c[k+164>>2]&32){n=c[aa>>2]|0;TN(n|0,k|0,176)|0;w=$;x=o;y=w+48|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));c[aa>>2]=n;w=c[$>>2]&3;c[((w|0)==3?$:r)+40>>2]=c[((c[o>>2]&3|0)==2?o:o+-48|0)+40>>2];c[((w|0)==2?$:s)+40>>2]=c[((c[o>>2]&3|0)==3?o:o+48|0)+40>>2];w=n+16|0;x=(c[p>>2]|0)+56|0;y=w+40|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));k=c[aa>>2]|0;w=k+56|0;x=(c[p>>2]|0)+16|0;y=w+40|0;do{c[w>>2]=c[x>>2];w=w+4|0;x=x+4|0}while((w|0)<(y|0));a[k+112>>0]=1;c[k+116>>2]=o;o=$}p=c[41920]|0;k=1;while(1){if((k|0)>=(u|0))break;ca=p+(k<<4)|0;h[ca>>3]=+h[ca>>3]+ +(c[t>>2]|0);k=k+1|0}n=c[41921]|0;k=0;while(1){if((k|0)>=(v|0))break;ca=n+(k<<4)|0;_=p+(k<<4)|0;c[ca>>2]=c[_>>2];c[ca+4>>2]=c[_+4>>2];c[ca+8>>2]=c[_+8>>2];c[ca+12>>2]=c[_+12>>2];k=k+1|0}Jz(o,c[((c[o>>2]&3|0)==2?o:o+-48|0)+40>>2]|0,n,v,17224);q=q+1|0}}while(0);l=ba;return}function fg(a){a=a|0;var b=0,d=0,e=0;b=co(a)|0;while(1){if(!b)break;d=Pm(a,b)|0;while(1){if(!d)break;if(($a[c[4306]&31](d)|0)<<24>>24?(e=c[(c[d+16>>2]|0)+8>>2]|0,e|0):0)gg(e);d=Rm(a,d)|0}b=eo(a,b)|0}return}function gg(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;f=c[a+4>>2]|0;g=ww(f*48|0)|0;b=g;d=0;e=(c[a>>2]|0)+((f+-1|0)*48|0)|0;while(1){if((d|0)>=(f|0)){b=0;break}hg(e,b);b=b+48|0;d=d+1|0;e=e+-48|0}while(1){d=c[a>>2]|0;if((b|0)>=(f|0))break;_I(c[d+(b*48|0)>>2]|0);b=b+1|0}_I(d);c[a>>2]=g;return}function hg(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;g=c[a+4>>2]|0;h=ww(g<<4)|0;d=h;e=0;f=(c[a>>2]|0)+(g+-1<<4)|0;while(1){if((e|0)>=(g|0))break;c[d>>2]=c[f>>2];c[d+4>>2]=c[f+4>>2];c[d+8>>2]=c[f+8>>2];c[d+12>>2]=c[f+12>>2];d=d+16|0;e=e+1|0;f=f+-16|0}c[b>>2]=h;c[b+4>>2]=g;c[b+8>>2]=c[a+12>>2];c[b+12>>2]=c[a+8>>2];h=b+16|0;g=a+32|0;c[h>>2]=c[g>>2];c[h+4>>2]=c[g+4>>2];c[h+8>>2]=c[g+8>>2];c[h+12>>2]=c[g+12>>2];h=b+32|0;g=a+16|0;c[h>>2]=c[g>>2];c[h+4>>2]=c[g+4>>2];c[h+8>>2]=c[g+8>>2];c[h+12>>2]=c[g+12>>2];return}function ig(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0.0,j=0.0,k=0.0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0;x=l;l=l+96|0;q=x+80|0;s=x+64|0;r=x+48|0;u=x+32|0;v=x+16|0;w=x;m=d;while(1){t=m+16|0;g=c[t>>2]|0;if(!(a[g+112>>0]|0))break;m=c[g+116>>2]|0}g=c[m>>2]&3;o=c[((g|0)==2?m:m+-48|0)+40>>2]|0;g=c[((g|0)==3?m:m+48|0)+40>>2]|0;m=o+16|0;n=g+16|0;y=(c[(c[m>>2]|0)+232>>2]|0)-(c[(c[n>>2]|0)+232>>2]|0)|0;switch(((y|0)>-1?y:0-y|0)|0){case 1:{g=0;break}case 2:{if(!(a[(c[(c[b+60>>2]|0)+16>>2]|0)+113>>0]&1))p=6;else g=0;break}default:p=6}do if((p|0)==6){if((c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0)==(g|0)){c[f>>2]=o;y=(c[n>>2]|0)+16|0;p=(c[t>>2]|0)+16|0;c[s>>2]=c[y>>2];c[s+4>>2]=c[y+4>>2];c[s+8>>2]=c[y+8>>2];c[s+12>>2]=c[y+12>>2];c[q>>2]=c[p>>2];c[q+4>>2]=c[p+4>>2];c[q+8>>2]=c[p+8>>2];c[q+12>>2]=c[p+12>>2];Ag(u,s,q);p=(c[m>>2]|0)+16|0;y=(c[t>>2]|0)+56|0;c[s>>2]=c[p>>2];c[s+4>>2]=c[p+4>>2];c[s+8>>2]=c[p+8>>2];c[s+12>>2]=c[p+12>>2];c[q>>2]=c[y>>2];c[q+4>>2]=c[y+4>>2];c[q+8>>2]=c[y+8>>2];c[q+12>>2]=c[y+12>>2];Ag(v,s,q)}else{c[f>>2]=g;y=(c[m>>2]|0)+16|0;p=(c[t>>2]|0)+56|0;c[s>>2]=c[y>>2];c[s+4>>2]=c[y+4>>2];c[s+8>>2]=c[y+8>>2];c[s+12>>2]=c[y+12>>2];c[q>>2]=c[p>>2];c[q+4>>2]=c[p+4>>2];c[q+8>>2]=c[p+8>>2];c[q+12>>2]=c[p+12>>2];Ag(u,s,q);p=(c[n>>2]|0)+16|0;y=(c[t>>2]|0)+16|0;c[s>>2]=c[p>>2];c[s+4>>2]=c[p+4>>2];c[s+8>>2]=c[p+8>>2];c[s+12>>2]=c[p+12>>2];c[q>>2]=c[y>>2];c[q+4>>2]=c[y+4>>2];c[q+8>>2]=c[y+8>>2];c[q+12>>2]=c[y+12>>2];Ag(v,s,q)}g=c[(c[t>>2]|0)+96>>2]|0;if(!g){g=e+16|0;c[e>>2]=c[u>>2];c[e+4>>2]=c[u+4>>2];c[e+8>>2]=c[u+8>>2];c[e+12>>2]=c[u+12>>2];c[g>>2]=c[u>>2];c[g+4>>2]=c[u+4>>2];c[g+8>>2]=c[u+8>>2];c[g+12>>2]=c[u+12>>2];g=e+48|0;y=e+32|0;c[y>>2]=c[v>>2];c[y+4>>2]=c[v+4>>2];c[y+8>>2]=c[v+8>>2];c[y+12>>2]=c[v+12>>2];c[g>>2]=c[v>>2];c[g+4>>2]=c[v+4>>2];c[g+8>>2]=c[v+8>>2];c[g+12>>2]=c[v+12>>2];g=4;break}j=+h[g+24>>3];i=+h[g+32>>3];p=(c[(c[(ro(o)|0)+16>>2]|0)+116>>2]&1|0)==0;k=p?i:j;y=(c[(c[t>>2]|0)+96>>2]|0)+56|0;c[w>>2]=c[y>>2];c[w+4>>2]=c[y+4>>2];c[w+8>>2]=c[y+8>>2];c[w+12>>2]=c[y+12>>2];c[r>>2]=c[v>>2];c[r+4>>2]=c[v+4>>2];c[r+8>>2]=c[v+8>>2];c[r+12>>2]=c[v+12>>2];c[s>>2]=c[u>>2];c[s+4>>2]=c[u+4>>2];c[s+8>>2]=c[u+8>>2];c[s+12>>2]=c[u+12>>2];c[q>>2]=c[y>>2];c[q+4>>2]=c[y+4>>2];c[q+8>>2]=c[y+8>>2];c[q+12>>2]=c[y+12>>2];y=(Bg(r,s,q)|0)==0;i=(p?j:i)*.5;j=+h[w>>3];if(y){h[w>>3]=j-i;y=w+8|0;h[y>>3]=+h[y>>3]+k*.5}else{h[w>>3]=j+i;y=w+8|0;h[y>>3]=+h[y>>3]-k*.5}g=e+16|0;c[e>>2]=c[u>>2];c[e+4>>2]=c[u+4>>2];c[e+8>>2]=c[u+8>>2];c[e+12>>2]=c[u+12>>2];c[g>>2]=c[u>>2];c[g+4>>2]=c[u+4>>2];c[g+8>>2]=c[u+8>>2];c[g+12>>2]=c[u+12>>2];g=e+32|0;y=e+48|0;u=e+64|0;c[u>>2]=c[w>>2];c[u+4>>2]=c[w+4>>2];c[u+8>>2]=c[w+8>>2];c[u+12>>2]=c[w+12>>2];c[y>>2]=c[w>>2];c[y+4>>2]=c[w+4>>2];c[y+8>>2]=c[w+8>>2];c[y+12>>2]=c[w+12>>2];c[g>>2]=c[w>>2];c[g+4>>2]=c[w+4>>2];c[g+8>>2]=c[w+8>>2];c[g+12>>2]=c[w+12>>2];g=e+80|0;y=e+96|0;c[y>>2]=c[v>>2];c[y+4>>2]=c[v+4>>2];c[y+8>>2]=c[v+8>>2];c[y+12>>2]=c[v+12>>2];c[g>>2]=c[v>>2];c[g+4>>2]=c[v+4>>2];c[g+8>>2]=c[v+8>>2];c[g+12>>2]=c[v+12>>2];g=7}while(0);l=x;return g|0}function jg(b,d,e,f,g,i){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0.0,k=0,l=0,m=0.0,n=0,o=0.0,p=0.0,q=0;q=c[f+16>>2]|0;p=+h[q+16>>3];j=p-+h[q+88>>3];m=j+-4.0;l=wg(d,f,g,i,-1)|0;if(!l){n=~~(j+(m>=0.0?-3.5:-4.5));k=c[e>>2]|0;k=(k|0)>(n|0)?n:k}else{k=xg(d,f,l)|0;do if(!k){n=c[l+16>>2]|0;j=+h[n+240>>3]+ +h[n+16>>3];if(!(a[n+156>>0]|0)){j=+(c[(c[d+16>>2]|0)+248>>2]|0)*.5+j;break}else{j=j+ +(c[e+8>>2]|0);break}}else j=+h[(c[k+16>>2]|0)+32>>3]+ +(c[e+8>>2]|0);while(0);o=j<m?j:m;k=~~(o+(o>=0.0?.5:-.5))}o=+(k|0);n=(a[q+156>>0]|0)==1;if(n?(c[q+104>>2]|0)!=0:0)m=p+10.0;else m=p+4.0+ +h[q+96>>3];l=wg(d,f,g,i,1)|0;if(!l){f=~~(m+(m>=0.0?.5:-.5));k=c[e+4>>2]|0;k=(k|0)<(f|0)?f:k}else{k=xg(d,f,l)|0;do if(!k){f=c[l+16>>2]|0;j=+h[f+16>>3]-+h[f+88>>3];if(!(a[f+156>>0]|0)){j=j-+(c[(c[d+16>>2]|0)+248>>2]|0)*.5;break}else{j=j-+(c[e+8>>2]|0);break}}else j=+h[(c[k+16>>2]|0)+16>>3]-+(c[e+8>>2]|0);while(0);m=j>m?j:m;k=~~(m+(m>=0.0?.5:-.5))}j=+(k|0);if(n?(c[q+104>>2]|0)!=0:0){j=j-+h[q+96>>3];if(j<o)j=p}p=+h[q+24>>3];d=c[(c[d+16>>2]|0)+196>>2]|0;q=c[q+232>>2]|0;m=p-+h[d+(q<<6)+16>>3];p=+h[d+(q<<6)+24>>3]+p;h[b>>3]=o;h[b+8>>3]=m;h[b+16>>3]=j;h[b+24>>3]=p;return}function kg(b){b=b|0;b=c[b+16>>2]|0;if((a[b+156>>0]|0)==1)if((c[b+176>>2]|0)>1)b=1;else b=(c[b+184>>2]|0)>1&1;else b=0;return b|0}function lg(a,b,d,e){a=a|0;b=b|0;d=d|0;e=+e;var f=0,g=0;g=l;l=l+32|0;f=g;switch(d|0){case 1:{vg(f,+h[b>>3],e,+h[b+16>>3],+h[b+8>>3]);break}case 4:{vg(f,+h[b>>3],+h[b+24>>3],+h[b+16>>3],e);break}default:{}}c[a>>2]=c[f>>2];c[a+4>>2]=c[f+4>>2];c[a+8>>2]=c[f+8>>2];c[a+12>>2]=c[f+12>>2];c[a+16>>2]=c[f+16>>2];c[a+20>>2]=c[f+20>>2];c[a+24>>2]=c[f+24>>2];c[a+28>>2]=c[f+28>>2];l=g;return}function mg(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0.0,j=0.0,k=0,l=0,m=0,n=0,o=0;l=c[b+16>>2]|0;k=l+(e<<5)|0;j=+h[k>>3];m=l+(e<<5)+8|0;g=+h[m>>3];n=l+(e<<5)+16|0;f=+h[n>>3];l=l+(e<<5)+24|0;i=+h[l>>3];if(j==f){d=c[(c[d+16>>2]|0)+196>>2]|0;o=e+1|0;j=+(c[b>>2]|0);g=+h[d+(o<<6)+24>>3]+ +h[(c[(c[c[d+(o<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3];f=+(c[b+4>>2]|0);i=+h[(c[(c[c[d+(e<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]-+h[d+(e<<6)+16>>3];h[k>>3]=j;h[m>>3]=g;h[n>>3]=f;h[l>>3]=i}h[a>>3]=j;h[a+8>>3]=g;h[a+16>>3]=f;h[a+24>>3]=i;return}function ng(b){b=b|0;var d=0,e=0;b=c[b+16>>2]|0;e=b+16|0;d=0;while(1){b=c[c[b+180>>2]>>2]|0;b=c[(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)+16>>2]|0;if((a[b+156>>0]|0)!=1)break;if((c[b+184>>2]|0)!=1)break;if((c[b+176>>2]|0)!=1)break;if(+h[b+16>>3]!=+h[e>>3])break;d=d+1|0}return d|0}function og(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0;k=l;l=l+32|0;j=k;h=sg(b,-1)|0;b=sg(b,1)|0;if(!((h|0)!=0?!(_z(h)|0):0))i=3;do if((i|0)==3){if(b|0?(_z(b)|0)==0:0)break;h=tg(d,-1)|0;b=tg(d,1)|0;if(h|0?(_z(h)|0)==0:0)break;if(b|0?(_z(b)|0)==0:0)break;h=e+52|0;b=0;while(1){if((b|0)>=(c[h>>2]|0))break;d=e+56+(b<<5)|0;c[j>>2]=c[d>>2];c[j+4>>2]=c[d+4>>2];c[j+8>>2]=c[d+8>>2];c[j+12>>2]=c[d+12>>2];c[j+16>>2]=c[d+16>>2];c[j+20>>2]=c[d+20>>2];c[j+24>>2]=c[d+24>>2];c[j+28>>2]=c[d+28>>2];Lz(a,j);b=b+1|0}h=c[a+80>>2]|0;i=g+-3|0;b=0;while(1){if((b|0)>=(g|0))break;e=135024+(b<<5)|0;c[j>>2]=c[e>>2];c[j+4>>2]=c[e+4>>2];c[j+8>>2]=c[e+8>>2];c[j+12>>2]=c[e+12>>2];c[j+16>>2]=c[e+16>>2];c[j+20>>2]=c[e+20>>2];c[j+24>>2]=c[e+24>>2];c[j+28>>2]=c[e+28>>2];Lz(a,j);b=b+1|0}d=h+1|0;i=i+d|0;h=c[f+52>>2]|0;while(1){b=h+-1|0;if((h|0)<=0)break;h=f+56+(b<<5)|0;c[j>>2]=c[h>>2];c[j+4>>2]=c[h+4>>2];c[j+8>>2]=c[h+8>>2];c[j+12>>2]=c[h+12>>2];c[j+16>>2]=c[h+16>>2];c[j+20>>2]=c[h+20>>2];c[j+24>>2]=c[h+24>>2];c[j+28>>2]=c[h+28>>2];Lz(a,j);h=b}ug(a,d,i)}while(0);l=k;return}function pg(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;f=c[e>>2]|0;while(1){if(!b)break;a=c[c[(c[(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+180>>2]>>2]|0;b=b+-1|0}c[e>>2]=f+1;g=d+(f<<4)|0;b=d+(f+-1<<4)|0;c[g>>2]=c[b>>2];c[g+4>>2]=c[b+4>>2];c[g+8>>2]=c[b+8>>2];c[g+12>>2]=c[b+12>>2];f=c[e>>2]|0;c[e>>2]=f+1;f=d+(f<<4)|0;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];f=d+(c[e>>2]<<4)|0;e=(c[(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+16|0;c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];c[f+8>>2]=c[e+8>>2];c[f+12>>2]=c[e+12>>2];return a|0}function qg(b,d){b=b|0;d=d|0;var e=0,f=0.0,g=0.0,i=0,j=0,k=0,l=0,m=0;m=d+84|0;l=d+80|0;e=0;d=b;a:while(1){j=c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0;k=j+16|0;if((a[(c[k>>2]|0)+156>>0]|0)!=1)break;if(($a[c[17228>>2]&31](j)|0)<<24>>24)break;d=c[l>>2]|0;while(1){if((e|0)>=(d|0))break a;if(!(+h[(c[m>>2]|0)+(e<<5)+8>>3]>+h[(c[k>>2]|0)+24>>3]))break;e=e+1|0}d=c[m>>2]|0;b=c[k>>2]|0;do if(!(+h[d+(e<<5)+24>>3]<+h[b+24>>3])){g=+h[d+(e<<5)>>3];i=~~g;f=+h[d+(e<<5)+16>>3];if(!(c[b+104>>2]|0)){rg(j,i,~~((f+g)*.5),~~f);break}else{rg(j,i,~~f,~~(+h[b+96>>3]+f));break}}while(0);d=c[c[(c[k>>2]|0)+180>>2]>>2]|0}return}function rg(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;a=c[a+16>>2]|0;h[a+16>>3]=+(d|0);h[a+88>>3]=+(d-b|0);h[a+96>>3]=+(e-d|0);return}function sg(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;h=c[a>>2]&3;i=c[(c[(c[((h|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+180>>2]|0;h=((h|0)==2?a:a+-48|0)+40|0;g=0;a=0;while(1){e=c[i+(g<<2)>>2]|0;if(!e)break;f=c[(c[(c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;do if((O(f-(c[(c[(c[h>>2]|0)+16>>2]|0)+236>>2]|0)|0,b)|0)>=1){d=c[e+16>>2]|0;if(!(c[d+8>>2]|0)){d=c[d+116>>2]|0;if(!d)break;if(!(c[(c[d+16>>2]|0)+8>>2]|0))break}if(a|0?(O((c[(c[(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)-f|0,b)|0)<=0:0)break;a=e}while(0);g=g+1|0}return a|0}function tg(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;h=c[a>>2]&3;i=c[(c[(c[((h|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+172>>2]|0;h=((h|0)==3?a:a+48|0)+40|0;g=0;a=0;while(1){e=c[i+(g<<2)>>2]|0;if(!e)break;f=c[(c[(c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;do if((O(f-(c[(c[(c[h>>2]|0)+16>>2]|0)+236>>2]|0)|0,b)|0)>=1){d=c[e+16>>2]|0;if(!(c[d+8>>2]|0)){d=c[d+116>>2]|0;if(!d)break;if(!(c[(c[d+16>>2]|0)+8>>2]|0))break}if(a|0?(O((c[(c[(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)-f|0,b)|0)<=0:0)break;a=e}while(0);g=g+1|0}return a|0}function ug(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0,g=0,i=0,j=0,k=0,l=0,m=0.0;l=a+84|0;i=b+-1|0;while(1){if((i|0)>(d|0))break;f=c[l>>2]|0;j=f+(i<<5)|0;e=+h[j>>3];if(!(i-b&1)){f=f+(i<<5)+16|0;m=+h[f>>3];g=~~((m+e)*.5);if(e>=m){h[j>>3]=+(g+-8|0);h[f>>3]=+(g+8|0)}}else{f=f+(i<<5)+16|0;m=+h[f>>3];g=~~((m+e)*.5);if(e+16.0>m){h[j>>3]=+(g+-8|0);h[f>>3]=+(g+8|0)}}i=i+1|0}k=(c[a+80>>2]|0)+-1|0;g=0;while(1){if((g|0)>=(k|0))break;i=c[l>>2]|0;f=i+(g<<5)|0;j=g+1|0;a=i+(j<<5)|0;if(!((g|0)<(b|0)|(g|0)>(d|0))?(g-b&1|0)==0:0){e=+h[f>>3]+16.0;f=i+(j<<5)+16|0;if(e>+h[f>>3])h[f>>3]=e;e=+h[i+(g<<5)+16>>3]+-16.0;if(!(e<+h[a>>3])){g=j;continue}h[a>>3]=e;g=j;continue}if(!((g|0)<(d|0)&(j|0)>=(b|0))){g=j;continue}if(j-b&1|0){g=j;continue}e=+h[i+(j<<5)+16>>3];if(+h[f>>3]+16.0>e)h[f>>3]=e+-16.0;f=i+(g<<5)+16|0;e=+h[a>>3];if(!(+h[f>>3]+-16.0<e)){g=j;continue}h[f>>3]=e+16.0;g=j}return}function vg(a,b,c,d,e){a=a|0;b=+b;c=+c;d=+d;e=+e;h[a>>3]=b;h[a+8>>3]=c;h[a+16>>3]=d;h[a+24>>3]=e;return}function wg(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0;k=c[(c[b+16>>2]|0)+196>>2]|0;h=c[d+16>>2]|0;j=c[h+232>>2]|0;i=k+(j<<6)|0;j=k+(j<<6)+4|0;h=c[h+236>>2]|0;a:do{h=h+g|0;if((h|0)<=-1){b=0;break}if((h|0)>=(c[i>>2]|0)){b=0;break}b=c[(c[j>>2]|0)+(h<<2)>>2]|0;k=c[b+16>>2]|0;switch(a[k+156>>0]|0){case 0:break a;case 1:{if(c[k+104>>2]|0)break a;break}default:{}}}while((zg(b,d,e,f)|0)<<24>>24!=0);return b|0}function xg(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;d=c[d+16>>2]|0;if(!(a[d+156>>0]|0)){i=c[d+212>>2]|0;h=i}else{i=c[(c[(c[c[d+180>>2]>>2]|0)+16>>2]|0)+116>>2]|0;g=c[i>>2]&3;h=c[(c[(c[((g|0)==2?i:i+-48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0;i=c[(c[(c[((g|0)==3?i:i+48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0}d=c[e+16>>2]|0;if(!(a[d+156>>0]|0)){e=c[d+212>>2]|0;e=(e|0)==(b|0)?0:e;return ((e|0)==(h|0)|((e|0)==0|(e|0)==(i|0))?0:e)|0}f=c[(c[(c[c[d+180>>2]>>2]|0)+16>>2]|0)+116>>2]|0;g=c[f>>2]&3;d=c[(c[(c[((g|0)==3?f:f+48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0;d=(d|0)==(b|0)?0:d;if(!(!((d|0)==(h|0)|((d|0)==0|(d|0)==(i|0)))?(yg(d,e)|0)!=0:0)){d=c[(c[(c[((g|0)==2?f:f+-48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0;d=(d|0)==(b|0)?0:d;if((d|0)==(h|0)|((d|0)==0|(d|0)==(i|0)))d=0;else{e=(yg(d,e)|0)==0;return (e?0:d)|0}}return d|0}function yg(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0.0;d=c[a+16>>2]|0;a=c[b+16>>2]|0;f=+h[a+16>>3];if((+h[d+16>>3]<=f?f<=+h[d+32>>3]:0)?(e=+h[a+24>>3],+h[d+24>>3]<=e):0)a=e<=+h[d+40>>3]&1;else a=0;return a|0}function zg(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0;i=c[b+16>>2]|0;j=(c[i+236>>2]|0)>(c[(c[d+16>>2]|0)+236>>2]|0);a:do if((c[i+184>>2]|0)==1){b:do if(f|0){h=0;b=c[c[i+180>>2]>>2]|0;while(1){if((h|0)>=2)break b;b=c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0;d=c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0;if((b|0)==(d|0))break b;g=c[b+16>>2]|0;b=c[d+16>>2]|0;if(j^(c[g+236>>2]|0)>(c[b+236>>2]|0)){b=1;break a}if((c[g+184>>2]|0)!=1)break b;if(!(a[g+156>>0]|0))break b;if((c[b+184>>2]|0)!=1)break b;if(!(a[b+156>>0]|0))break b;h=h+1|0;f=c[c[b+180>>2]>>2]|0;b=c[c[g+180>>2]>>2]|0}}while(0);if(e|0?(c[i+176>>2]|0)==1:0){g=0;d=e;b=c[c[i+172>>2]>>2]|0;while(1){if((g|0)>=2){b=0;break a}b=c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0;d=c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0;if((b|0)==(d|0)){b=0;break a}f=c[b+16>>2]|0;b=c[d+16>>2]|0;if(j^(c[f+236>>2]|0)>(c[b+236>>2]|0)){b=1;break a}if((c[f+176>>2]|0)!=1){b=0;break a}if(!(a[f+156>>0]|0)){b=0;break a}if((c[b+176>>2]|0)!=1){b=0;break a}if(!(a[b+156>>0]|0)){b=0;break a}g=g+1|0;d=c[c[b+172>>2]>>2]|0;b=c[c[f+172>>2]>>2]|0}}else b=0}else b=0;while(0);return b|0}function Ag(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=+h[c+8>>3]+ +h[b+8>>3];h[a>>3]=+h[c>>3]+ +h[b>>3];h[a+8>>3]=d;return}function Bg(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0;d=+h[b+8>>3];e=+h[b>>3];return (~~((+h[c>>3]-e)*(+h[a+8>>3]-d)-(+h[a>>3]-e)*(+h[c+8>>3]-d))|0)>0|0}function Cg(b,d,e,f,g,i){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0.0,t=0,u=0,v=0.0,w=0.0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0,T=0;R=l;l=l+256|0;D=R+232|0;C=R+216|0;P=R+88|0;O=R+80|0;K=R+64|0;L=R+200|0;M=R+184|0;N=R;E=R+168|0;F=R+152|0;G=R+136|0;H=R+120|0;I=R+104|0;B=c[g>>2]&3;J=c[((B|0)==3?g:g+48|0)+40>>2]|0;B=c[((B|0)==2?g:g+-48|0)+40>>2]|0;do if((By(J)|0)!=2?(By(B)|0)!=2:0){g=0;j=0;k=0;while(1){if((k|0)>=(f|0))break;A=c[(c[d+(k+e<<2)>>2]|0)+16>>2]|0;g=g+((c[A+96>>2]|0)!=0&1)|0;if(!((a[A+44>>0]|0)==0?(a[A+84>>0]|0)==0:0))j=1;k=k+1|0}if(!j)if(!g){Eg(J,B,d,e,f,i);break}else{Jg(J,B,d,e,f,i,g);break}y=vw(156)|0;z=Kg(b,y)|0;t=Ip(z,78320,1)|0;No(t,122277,280,1)|0;Km(t,80018,80032)|0;m=+h[(c[B+16>>2]|0)+16>>3];s=+h[(c[J+16>>2]|0)+16>>3];A=b+16|0;q=(c[(c[A>>2]|0)+116>>2]&1|0)==0;r=q?B:J;q=q?J:B;t=Lg(t,q)|0;u=Lg(z,r)|0;g=0;p=0;while(1){if((p|0)>=(f|0))break;j=d+(p+e<<2)|0;while(1){o=c[j>>2]|0;n=o+16|0;j=c[n>>2]|0;if(!(a[j+112>>0]|0))break;else j=j+116|0}if((c[((c[o>>2]&3|0)==3?o:o+48|0)+40>>2]|0)==(q|0))k=Mg(z,t,u,o)|0;else k=Mg(z,u,t,o)|0;j=c[n>>2]|0;c[j+120>>2]=k;if(!g)if((a[j+44>>0]|0)==0?(a[j+84>>0]|0)==0:0){c[(c[k+16>>2]|0)+120>>2]=o;g=k}else g=0;p=p+1|0}if(!g)x=an(z,t,u,0,1)|0;else x=g;Cm(x,c[42218]|0,78324)|0;g=z+16|0;n=c[g>>2]|0;c[n+144>>2]=c[(c[A>>2]|0)+144>>2];c[n+188>>2]=z;IB(z,i);Bf(z);kj(z,0);uh(z,0);xi(z,0);q=q+16|0;i=c[q>>2]|0;n=c[r+16>>2]|0;r=t+16|0;o=c[r>>2]|0;p=o+16|0;v=+(~~m|0);w=+(~~((+h[(c[u+16>>2]|0)+16>>3]+ +h[p>>3])*.5)|0);m=+(~~s|0);s=+(~~((+h[i+16>>3]-+h[i+96>>3]+ +h[n+16>>3]+ +h[n+88>>3])*.5)|0);n=o+24|0;g=(c[g>>2]|0)+192|0;while(1){j=c[g>>2]|0;if(!j)break;do if((j|0)!=(t|0)){g=c[j+16>>2]|0;k=g+24|0;if((j|0)==(u|0)){h[k>>3]=m;h[g+16>>3]=w;break}else{h[k>>3]=s;break}}else{h[n>>3]=v;h[p>>3]=w;g=o}while(0);g=g+164|0}ek(z);Yf(z,0);$x(z);k=c[q>>2]|0;g=c[r>>2]|0;if(!(c[(c[A>>2]|0)+116>>2]&1)){j=g+16|0;m=+h[k+24>>3]-+h[g+24>>3]}else{j=g+24|0;m=+h[g+16>>3]+ +h[k+24>>3]}h[K>>3]=+h[k+16>>3]-+h[j>>3];h[K+8>>3]=m;i=N+16|0;t=N+32|0;u=N+48|0;r=0;while(1){if((r|0)>=(f|0))break;g=d+(r+e<<2)|0;while(1){j=c[g>>2]|0;q=j+16|0;g=c[q>>2]|0;if(!(a[g+112>>0]|0))break;else g=g+116|0}o=c[g+120>>2]|0;p=o+16|0;g=c[p>>2]|0;if(!((o|0)==(x|0)&(c[g+120>>2]|0)==0)){n=c[c[g+8>>2]>>2]|0;o=n+4|0;j=Iz(j,c[o>>2]|0)|0;c[j+8>>2]=c[n+8>>2];g=j+16|0;k=n+16|0;S=c[(c[A>>2]|0)+116>>2]&1;c[C>>2]=c[k>>2];c[C+4>>2]=c[k+4>>2];c[C+8>>2]=c[k+8>>2];c[C+12>>2]=c[k+12>>2];c[D>>2]=c[K>>2];c[D+4>>2]=c[K+4>>2];c[D+8>>2]=c[K+8>>2];c[D+12>>2]=c[K+12>>2];Ng(L,C,D,S);c[g>>2]=c[L>>2];c[g+4>>2]=c[L+4>>2];c[g+8>>2]=c[L+8>>2];c[g+12>>2]=c[L+12>>2];c[j+12>>2]=c[n+12>>2];g=j+32|0;S=n+32|0;k=c[(c[A>>2]|0)+116>>2]&1;c[C>>2]=c[S>>2];c[C+4>>2]=c[S+4>>2];c[C+8>>2]=c[S+8>>2];c[C+12>>2]=c[S+12>>2];c[D>>2]=c[K>>2];c[D+4>>2]=c[K+4>>2];c[D+8>>2]=c[K+8>>2];c[D+12>>2]=c[K+12>>2];Ng(M,C,D,k);c[g>>2]=c[M>>2];c[g+4>>2]=c[M+4>>2];c[g+8>>2]=c[M+8>>2];c[g+12>>2]=c[M+12>>2];g=0;while(1){if((g|0)>=(c[o>>2]|0))break;k=(c[j>>2]|0)+(g<<4)|0;T=(c[n>>2]|0)+(g<<4)|0;S=c[(c[A>>2]|0)+116>>2]&1;c[C>>2]=c[T>>2];c[C+4>>2]=c[T+4>>2];c[C+8>>2]=c[T+8>>2];c[C+12>>2]=c[T+12>>2];c[D>>2]=c[K>>2];c[D+4>>2]=c[K+4>>2];c[D+8>>2]=c[K+8>>2];c[D+12>>2]=c[K+12>>2];Ng(E,C,D,S);c[k>>2]=c[E>>2];c[k+4>>2]=c[E+4>>2];c[k+8>>2]=c[E+8>>2];c[k+12>>2]=c[E+12>>2];c[N>>2]=c[E>>2];c[N+4>>2]=c[E+4>>2];c[N+8>>2]=c[E+8>>2];c[N+12>>2]=c[E+12>>2];k=g+1|0;if((k|0)>=(c[o>>2]|0)){Q=48;break}S=(c[j>>2]|0)+(k<<4)|0;k=(c[n>>2]|0)+(k<<4)|0;T=c[(c[A>>2]|0)+116>>2]&1;c[C>>2]=c[k>>2];c[C+4>>2]=c[k+4>>2];c[C+8>>2]=c[k+8>>2];c[C+12>>2]=c[k+12>>2];c[D>>2]=c[K>>2];c[D+4>>2]=c[K+4>>2];c[D+8>>2]=c[K+8>>2];c[D+12>>2]=c[K+12>>2];Ng(F,C,D,T);c[S>>2]=c[F>>2];c[S+4>>2]=c[F+4>>2];c[S+8>>2]=c[F+8>>2];c[S+12>>2]=c[F+12>>2];c[i>>2]=c[F>>2];c[i+4>>2]=c[F+4>>2];c[i+8>>2]=c[F+8>>2];c[i+12>>2]=c[F+12>>2];S=g+2|0;T=(c[j>>2]|0)+(S<<4)|0;S=(c[n>>2]|0)+(S<<4)|0;k=c[(c[A>>2]|0)+116>>2]&1;c[C>>2]=c[S>>2];c[C+4>>2]=c[S+4>>2];c[C+8>>2]=c[S+8>>2];c[C+12>>2]=c[S+12>>2];c[D>>2]=c[K>>2];c[D+4>>2]=c[K+4>>2];c[D+8>>2]=c[K+8>>2];c[D+12>>2]=c[K+12>>2];Ng(G,C,D,k);c[T>>2]=c[G>>2];c[T+4>>2]=c[G+4>>2];c[T+8>>2]=c[G+8>>2];c[T+12>>2]=c[G+12>>2];c[t>>2]=c[G>>2];c[t+4>>2]=c[G+4>>2];c[t+8>>2]=c[G+8>>2];c[t+12>>2]=c[G+12>>2];T=g+3|0;k=(c[n>>2]|0)+(T<<4)|0;S=c[(c[A>>2]|0)+116>>2]&1;c[C>>2]=c[k>>2];c[C+4>>2]=c[k+4>>2];c[C+8>>2]=c[k+8>>2];c[C+12>>2]=c[k+12>>2];c[D>>2]=c[K>>2];c[D+4>>2]=c[K+4>>2];c[D+8>>2]=c[K+8>>2];c[D+12>>2]=c[K+12>>2];Ng(H,C,D,S);c[u>>2]=c[H>>2];c[u+4>>2]=c[H+4>>2];c[u+8>>2]=c[H+8>>2];c[u+12>>2]=c[H+12>>2];eu((c[A>>2]|0)+16|0,N);g=T}if((Q|0)==48)Q=0;g=c[(c[q>>2]|0)+96>>2]|0;if(g|0){T=g+56|0;p=(c[(c[p>>2]|0)+96>>2]|0)+56|0;S=c[(c[A>>2]|0)+116>>2]&1;c[C>>2]=c[p>>2];c[C+4>>2]=c[p+4>>2];c[C+8>>2]=c[p+8>>2];c[C+12>>2]=c[p+12>>2];c[D>>2]=c[K>>2];c[D+4>>2]=c[K+4>>2];c[D+8>>2]=c[K+8>>2];c[D+12>>2]=c[K+12>>2];Ng(I,C,D,S);c[T>>2]=c[I>>2];c[T+4>>2]=c[I+4>>2];c[T+8>>2]=c[I+8>>2];c[T+12>>2]=c[I+12>>2];T=c[(c[q>>2]|0)+96>>2]|0;a[T+81>>0]=1;bB(b,T)}}r=r+1|0}Og(z,y)}else Q=3;while(0);if((Q|0)==3?(c[41924]|0)==0:0){c[41924]=1;_l(0,78197,O)|0;Q=Dn(J)|0;S=(qn(b)|0)!=0;T=Dn(B)|0;c[P>>2]=Q;c[P+4>>2]=S?122546:122549;c[P+8>>2]=T;_l(3,78303,P)|0}l=R;return}function Dg(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0.0,B=0.0,C=0.0,D=0.0,E=0.0;z=l;l=l+1600|0;u=z+1552|0;n=z+1536|0;t=z+840|0;v=z+144|0;w=z+1584|0;j=z+32|0;s=z+16|0;o=z;q=c[f>>2]&3;p=c[((q|0)==3?f:f+48|0)+40>>2]|0;x=f+-48|0;q=c[((q|0)==2?f:x)+40>>2]|0;r=f+16|0;k=c[r>>2]|0;i=c[k+172>>2]|0;while(1){m=c[(c[i+16>>2]|0)+172>>2]|0;if(!m)break;else i=m}k=(c[k+96>>2]|0)+56|0;i=(c[((c[i>>2]&3|0)==3?i:i+48|0)+40>>2]|0)+16|0;m=(c[i>>2]|0)+16|0;c[k>>2]=c[m>>2];c[k+4>>2]=c[m+4>>2];c[k+8>>2]=c[m+8>>2];c[k+12>>2]=c[m+12>>2];k=c[r>>2]|0;a[(c[k+96>>2]|0)+81>>0]=1;if((g|0)!=2){k=c[i>>2]|0;C=+h[k+16>>3];E=C-+h[k+88>>3];C=+h[k+96>>3]+C;B=+h[k+24>>3];D=+h[k+80>>3]*.5+B;k=c[(c[b+16>>2]|0)+196>>2]|0;m=c[p+16>>2]|0;j=c[m+232>>2]|0;B=+(~~(+(~~(B-+h[k+(j<<6)+16>>3]-+h[m+24>>3]+ +h[k+(j<<6)+24>>3])|0)*.16666666666666666)|0);B=D-(B<5.0?5.0:B);Gg(b,d,e,p,f,t,1);Gg(b,d,e,q,f,v,0);j=t+52|0;k=c[j>>2]|0;m=k+-1|0;A=+h[t+56+(m<<5)>>3];h[16878]=A;h[16879]=+h[t+56+(m<<5)+24>>3];h[16880]=E;h[16881]=B;h[16882]=A;h[16883]=B;m=v+52|0;i=(c[m>>2]|0)+-1|0;A=+h[v+56+(i<<5)+16>>3];h[16884]=A;h[16885]=D;h[16886]=C;h[16889]=B;h[16887]=+h[v+56+(i<<5)+24>>3];h[16888]=A;i=0;while(1){if((i|0)>=(k|0)){i=0;break}k=t+56+(i<<5)|0;c[u>>2]=c[k>>2];c[u+4>>2]=c[k+4>>2];c[u+8>>2]=c[k+8>>2];c[u+12>>2]=c[k+12>>2];c[u+16>>2]=c[k+16>>2];c[u+20>>2]=c[k+20>>2];c[u+24>>2]=c[k+24>>2];c[u+28>>2]=c[k+28>>2];Lz(e,u);i=i+1|0;k=c[j>>2]|0}while(1){if((i|0)==3)break;t=135024+(i<<5)|0;c[u>>2]=c[t>>2];c[u+4>>2]=c[t+4>>2];c[u+8>>2]=c[t+8>>2];c[u+12>>2]=c[t+12>>2];c[u+16>>2]=c[t+16>>2];c[u+20>>2]=c[t+20>>2];c[u+24>>2]=c[t+24>>2];c[u+28>>2]=c[t+28>>2];Lz(e,u);i=i+1|0}j=c[m>>2]|0;while(1){i=j+-1|0;if((j|0)<=0)break;j=v+56+(i<<5)|0;c[u>>2]=c[j>>2];c[u+4>>2]=c[j+4>>2];c[u+8>>2]=c[j+8>>2];c[u+12>>2]=c[j+12>>2];c[u+16>>2]=c[j+16>>2];c[u+20>>2]=c[j+20>>2];c[u+24>>2]=c[j+24>>2];c[u+28>>2]=c[j+28>>2];Lz(e,u);j=i}if((g|0)==10)j=ny(e,w)|0;else j=ty(e,w)|0;i=c[w>>2]|0;if(i|0)y=17}else{i=(c[p+16>>2]|0)+16|0;v=k+16|0;c[n>>2]=c[i>>2];c[n+4>>2]=c[i+4>>2];c[n+8>>2]=c[i+8>>2];c[n+12>>2]=c[i+12>>2];c[u>>2]=c[v>>2];c[u+4>>2]=c[v+4>>2];c[u+8>>2]=c[v+8>>2];c[u+12>>2]=c[v+12>>2];Ag(s,n,u);v=(c[q+16>>2]|0)+16|0;i=(c[r>>2]|0)+56|0;c[n>>2]=c[v>>2];c[n+4>>2]=c[v+4>>2];c[n+8>>2]=c[v+8>>2];c[n+12>>2]=c[v+12>>2];c[u>>2]=c[i>>2];c[u+4>>2]=c[i+4>>2];c[u+8>>2]=c[i+8>>2];c[u+12>>2]=c[i+12>>2];Ag(o,n,u);i=c[(c[r>>2]|0)+96>>2]|0;D=+h[i+56>>3];E=+h[i+64>>3]-+h[i+32>>3]*.5;i=j+16|0;c[j>>2]=c[s>>2];c[j+4>>2]=c[s+4>>2];c[j+8>>2]=c[s+8>>2];c[j+12>>2]=c[s+12>>2];c[i>>2]=c[s>>2];c[i+4>>2]=c[s+4>>2];c[i+8>>2]=c[s+8>>2];c[i+12>>2]=c[s+12>>2];i=j+32|0;v=j+48|0;y=j+64|0;h[j+64>>3]=D;h[j+72>>3]=E;c[v>>2]=c[y>>2];c[v+4>>2]=c[y+4>>2];c[v+8>>2]=c[y+8>>2];c[v+12>>2]=c[y+12>>2];c[i>>2]=c[y>>2];c[i+4>>2]=c[y+4>>2];c[i+8>>2]=c[y+8>>2];c[i+12>>2]=c[y+12>>2];i=j+80|0;y=j+96|0;c[y>>2]=c[o>>2];c[y+4>>2]=c[o+4>>2];c[y+8>>2]=c[o+8>>2];c[y+12>>2]=c[o+12>>2];c[i>>2]=c[o>>2];c[i+4>>2]=c[o+4>>2];c[i+8>>2]=c[o+8>>2];c[i+12>>2]=c[o+12>>2];c[w>>2]=7;i=7;y=17}if((y|0)==17)Jz(f,c[((c[f>>2]&3|0)==2?f:x)+40>>2]|0,j,i,17224);l=z;return}function Eg(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0,s=0,t=0.0,u=0,v=0,w=0,x=0,y=0,z=0.0,A=0.0,B=0.0,C=0.0,D=0.0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0;N=l;l=l+352|0;x=N+336|0;w=N+320|0;L=N+128|0;u=N+304|0;y=N+288|0;M=N+112|0;E=N+96|0;F=N+80|0;G=N+64|0;H=N+48|0;I=N+32|0;J=N+16|0;K=N;a=a+16|0;q=(c[a>>2]|0)+16|0;v=(c[d+(e<<2)>>2]|0)+16|0;s=(c[v>>2]|0)+16|0;c[w>>2]=c[q>>2];c[w+4>>2]=c[q+4>>2];c[w+8>>2]=c[q+8>>2];c[w+12>>2]=c[q+12>>2];c[x>>2]=c[s>>2];c[x+4>>2]=c[s+4>>2];c[x+8>>2]=c[s+8>>2];c[x+12>>2]=c[s+12>>2];Ag(u,w,x);C=+h[u>>3];D=+h[u+8>>3];u=(c[b+16>>2]|0)+16|0;v=(c[v>>2]|0)+56|0;c[w>>2]=c[u>>2];c[w+4>>2]=c[u+4>>2];c[w+8>>2]=c[u+8>>2];c[w+12>>2]=c[u+12>>2];c[x>>2]=c[v>>2];c[x+4>>2]=c[v+4>>2];c[x+8>>2]=c[v+8>>2];c[x+12>>2]=c[v+12>>2];Ag(y,w,x);A=+h[y>>3];B=+h[y+8>>3];if((f|0)>1){z=+h[(c[a>>2]|0)+80>>3];i=z*.5;z=z/+(f+-1|0)}else{i=0.0;z=0.0}p=(g|8|0)==10;m=L+8|0;q=L+16|0;r=(A+C*2.0)*.3333333333333333;s=L+32|0;t=(A*2.0+C)*.3333333333333333;n=L+24|0;u=L+48|0;v=L+64|0;w=L+80|0;x=L+96|0;y=L+112|0;k=L+128|0;o=L+136|0;i=D-i;b=0;while(1){if((b|0)>=(f|0))break;j=c[d+(b+e<<2)>>2]|0;h[L>>3]=C;h[m>>3]=D;if(p){Ig(M,r,i);c[q>>2]=c[M>>2];c[q+4>>2]=c[M+4>>2];c[q+8>>2]=c[M+8>>2];c[q+12>>2]=c[M+12>>2];Ig(E,t,i);c[s>>2]=c[E>>2];c[s+4>>2]=c[E+4>>2];c[s+8>>2]=c[E+8>>2];c[s+12>>2]=c[E+12>>2];a=4;g=3}else{h[q>>3]=C;h[n>>3]=D;Ig(F,r,i);c[s>>2]=c[F>>2];c[s+4>>2]=c[F+4>>2];c[s+8>>2]=c[F+8>>2];c[s+12>>2]=c[F+12>>2];Ig(G,r,i);c[u>>2]=c[G>>2];c[u+4>>2]=c[G+4>>2];c[u+8>>2]=c[G+8>>2];c[u+12>>2]=c[G+12>>2];Ig(H,r,i);c[v>>2]=c[H>>2];c[v+4>>2]=c[H+4>>2];c[v+8>>2]=c[H+8>>2];c[v+12>>2]=c[H+12>>2];Ig(I,t,i);c[w>>2]=c[I>>2];c[w+4>>2]=c[I+4>>2];c[w+8>>2]=c[I+8>>2];c[w+12>>2]=c[I+12>>2];Ig(J,t,i);c[x>>2]=c[J>>2];c[x+4>>2]=c[J+4>>2];c[x+8>>2]=c[J+8>>2];c[x+12>>2]=c[J+12>>2];Ig(K,t,i);c[y>>2]=c[K>>2];c[y+4>>2]=c[K+4>>2];c[y+8>>2]=c[K+8>>2];c[y+12>>2]=c[K+12>>2];h[k>>3]=A;h[o>>3]=B;a=10;g=9}h[L+(g<<4)>>3]=A;h[L+(g<<4)+8>>3]=B;Jz(j,c[((c[j>>2]&3|0)==2?j:j+-48|0)+40>>2]|0,L,a,17224);i=i+z;b=b+1|0}l=N;return}function Fg(a,d,e,f,g,i,j,k){a=a|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;j=j|0;k=k|0;var m=0,n=0.0,o=0,p=0,q=0,r=0,s=0.0,t=0,u=0,v=0,w=0,x=0,y=0,z=0.0,A=0.0,B=0.0,C=0.0,D=0.0;x=l;l=l+1440|0;t=x+1392|0;v=x+1424|0;w=x+696|0;u=x;r=c[j>>2]&3;q=c[((r|0)==3?j:j+48|0)+40>>2]|0;r=c[((r|0)==2?j:j+-48|0)+40>>2]|0;m=c[q+16>>2]|0;o=c[m+232>>2]|0;p=c[a+16>>2]|0;if((o|0)<(b[p+238>>1]|0)){y=c[p+196>>2]|0;p=o+1|0;n=+h[m+24>>3]-+h[y+(o<<6)+32>>3]-+h[(c[(c[c[y+(p<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]-+h[y+(p<<6)+40>>3]}else n=+(c[p+252>>2]|0);z=+(i+1|0);s=+(c[d+12>>2]|0)/z;n=n/z;Hg(a,d,e,q,j,w,1);Hg(a,d,e,r,j,u,0);r=w+52|0;j=u+52|0;a=(k|0)==0;d=e+80|0;m=0;while(1){if((m|0)>=(i|0))break;q=c[f+(m+g<<2)>>2]|0;p=c[r>>2]|0;o=p+-1|0;D=+h[w+56+(o<<5)>>3];B=+h[w+56+(o<<5)+8>>3];C=+h[w+56+(o<<5)+16>>3];h[16878]=D;h[16881]=B;m=m+1|0;z=+(m|0);A=s*z;h[16880]=C+A;z=B-n*z;h[16879]=z;h[16882]=D;h[16885]=z;o=(c[j>>2]|0)+-1|0;D=+h[u+56+(o<<5)+16>>3];h[16884]=D;h[16883]=z-n;B=+h[u+56+(o<<5)>>3];C=+h[u+56+(o<<5)+8>>3];h[16888]=D;h[16889]=C;h[16886]=B-A;h[16887]=z;o=0;while(1){if((o|0)>=(p|0)){o=0;break}p=w+56+(o<<5)|0;c[t>>2]=c[p>>2];c[t+4>>2]=c[p+4>>2];c[t+8>>2]=c[p+8>>2];c[t+12>>2]=c[p+12>>2];c[t+16>>2]=c[p+16>>2];c[t+20>>2]=c[p+20>>2];c[t+24>>2]=c[p+24>>2];c[t+28>>2]=c[p+28>>2];Lz(e,t);o=o+1|0;p=c[r>>2]|0}while(1){if((o|0)==3)break;y=135024+(o<<5)|0;c[t>>2]=c[y>>2];c[t+4>>2]=c[y+4>>2];c[t+8>>2]=c[y+8>>2];c[t+12>>2]=c[y+12>>2];c[t+16>>2]=c[y+16>>2];c[t+20>>2]=c[y+20>>2];c[t+24>>2]=c[y+24>>2];c[t+28>>2]=c[y+28>>2];Lz(e,t);o=o+1|0}p=c[j>>2]|0;while(1){o=p+-1|0;if((p|0)<=0)break;p=u+56+(o<<5)|0;c[t>>2]=c[p>>2];c[t+4>>2]=c[p+4>>2];c[t+8>>2]=c[p+8>>2];c[t+12>>2]=c[p+12>>2];c[t+16>>2]=c[p+16>>2];c[t+20>>2]=c[p+20>>2];c[t+24>>2]=c[p+24>>2];c[t+28>>2]=c[p+28>>2];Lz(e,t);p=o}if(a)o=ty(e,v)|0;else o=ny(e,v)|0;p=c[v>>2]|0;if(!p)break;Jz(q,c[((c[q>>2]&3|0)==2?q:q+-48|0)+40>>2]|0,o,p,17224);c[d>>2]=0}l=x;return}function Gg(a,b,d,e,f,g,i){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0.0;n=l;l=l+128|0;j=n+96|0;k=n+64|0;o=n+32|0;m=n;jg(o,a,b,e,0,f);c[g>>2]=c[o>>2];c[g+4>>2]=c[o+4>>2];c[g+8>>2]=c[o+8>>2];c[g+12>>2]=c[o+12>>2];c[g+16>>2]=c[o+16>>2];c[g+20>>2]=c[o+20>>2];c[g+24>>2]=c[o+24>>2];c[g+28>>2]=c[o+28>>2];c[k>>2]=c[o>>2];c[k+4>>2]=c[o+4>>2];c[k+8>>2]=c[o+8>>2];c[k+12>>2]=c[o+12>>2];c[k+16>>2]=c[o+16>>2];c[k+20>>2]=c[o+20>>2];c[k+24>>2]=c[o+24>>2];c[k+28>>2]=c[o+28>>2];c[g+48>>2]=4;if(!(i<<24>>24))Pz(d,f,2,g,0);else Mz(d,f,2,g,0);b=g+52|0;f=(c[b>>2]|0)+-1|0;o=k+24|0;h[o>>3]=+h[g+56+(f<<5)+24>>3];i=k+8|0;h[i>>3]=+h[g+56+(f<<5)+8>>3];e=c[e+16>>2]|0;p=+h[(c[(c[a+16>>2]|0)+196>>2]|0)+(c[e+232>>2]<<6)+24>>3]+ +h[e+24>>3];c[j>>2]=c[k>>2];c[j+4>>2]=c[k+4>>2];c[j+8>>2]=c[k+8>>2];c[j+12>>2]=c[k+12>>2];c[j+16>>2]=c[k+16>>2];c[j+20>>2]=c[k+20>>2];c[j+24>>2]=c[k+24>>2];c[j+28>>2]=c[k+28>>2];lg(m,j,4,p);c[k>>2]=c[m>>2];c[k+4>>2]=c[m+4>>2];c[k+8>>2]=c[m+8>>2];c[k+12>>2]=c[m+12>>2];c[k+16>>2]=c[m+16>>2];c[k+20>>2]=c[m+20>>2];c[k+24>>2]=c[m+24>>2];c[k+28>>2]=c[m+28>>2];if(+h[k>>3]<+h[k+16>>3]?+h[i>>3]<+h[o>>3]:0){o=c[b>>2]|0;c[b>>2]=o+1;o=g+56+(o<<5)|0;c[o>>2]=c[k>>2];c[o+4>>2]=c[k+4>>2];c[o+8>>2]=c[k+8>>2];c[o+12>>2]=c[k+12>>2];c[o+16>>2]=c[k+16>>2];c[o+20>>2]=c[k+20>>2];c[o+24>>2]=c[k+24>>2];c[o+28>>2]=c[k+28>>2]}l=n;return}function Hg(a,b,d,e,f,g,i){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0.0;n=l;l=l+128|0;j=n+96|0;k=n+64|0;o=n+32|0;m=n;jg(o,a,b,e,0,f);c[g>>2]=c[o>>2];c[g+4>>2]=c[o+4>>2];c[g+8>>2]=c[o+8>>2];c[g+12>>2]=c[o+12>>2];c[g+16>>2]=c[o+16>>2];c[g+20>>2]=c[o+20>>2];c[g+24>>2]=c[o+24>>2];c[g+28>>2]=c[o+28>>2];c[k>>2]=c[o>>2];c[k+4>>2]=c[o+4>>2];c[k+8>>2]=c[o+8>>2];c[k+12>>2]=c[o+12>>2];c[k+16>>2]=c[o+16>>2];c[k+20>>2]=c[o+20>>2];c[k+24>>2]=c[o+24>>2];c[k+28>>2]=c[o+28>>2];c[g+48>>2]=1;if(!(i<<24>>24))Pz(d,f,2,g,0);else Mz(d,f,2,g,0);b=g+52|0;f=(c[b>>2]|0)+-1|0;o=k+24|0;h[o>>3]=+h[g+56+(f<<5)+24>>3];i=k+8|0;h[i>>3]=+h[g+56+(f<<5)+8>>3];e=c[e+16>>2]|0;p=+h[e+24>>3]-+h[(c[(c[a+16>>2]|0)+196>>2]|0)+(c[e+232>>2]<<6)+24>>3];c[j>>2]=c[k>>2];c[j+4>>2]=c[k+4>>2];c[j+8>>2]=c[k+8>>2];c[j+12>>2]=c[k+12>>2];c[j+16>>2]=c[k+16>>2];c[j+20>>2]=c[k+20>>2];c[j+24>>2]=c[k+24>>2];c[j+28>>2]=c[k+28>>2];lg(m,j,1,p);c[k>>2]=c[m>>2];c[k+4>>2]=c[m+4>>2];c[k+8>>2]=c[m+8>>2];c[k+12>>2]=c[m+12>>2];c[k+16>>2]=c[m+16>>2];c[k+20>>2]=c[m+20>>2];c[k+24>>2]=c[m+24>>2];c[k+28>>2]=c[m+28>>2];if(+h[k>>3]<+h[k+16>>3]?+h[i>>3]<+h[o>>3]:0){o=c[b>>2]|0;c[b>>2]=o+1;o=g+56+(o<<5)|0;c[o>>2]=c[k>>2];c[o+4>>2]=c[k+4>>2];c[o+8>>2]=c[k+8>>2];c[o+12>>2]=c[k+12>>2];c[o+16>>2]=c[k+16>>2];c[o+20>>2]=c[k+20>>2];c[o+24>>2]=c[k+24>>2];c[o+28>>2]=c[k+28>>2]}l=n;return}function Ig(a,b,c){a=a|0;b=+b;c=+c;h[a>>3]=b;h[a+8>>3]=c;return}function Jg(b,d,e,f,g,i,j){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;j=j|0;var k=0,m=0,n=0,o=0,p=0.0,q=0.0,r=0.0,s=0.0,t=0.0,u=0.0,v=0.0,w=0.0,x=0.0,y=0,z=0,A=0.0,B=0.0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0,T=0,U=0,V=0,W=0,X=0,Y=0,Z=0.0;Y=l;l=l+288|0;R=Y+256|0;Q=Y+240|0;P=Y+224|0;V=Y+280|0;W=Y+272|0;X=Y+32|0;S=Y+16|0;T=Y;m=Y+208|0;n=Y+192|0;o=c[e+(f<<2)>>2]|0;U=vw(g<<2)|0;k=0;while(1){if((k|0)>=(g|0))break;c[U+(k<<2)>>2]=c[e+(k+f<<2)>>2];k=k+1|0}rL(U,g,4,11);e=b+16|0;f=(c[e>>2]|0)+16|0;o=o+16|0;C=(c[o>>2]|0)+16|0;c[Q>>2]=c[f>>2];c[Q+4>>2]=c[f+4>>2];c[Q+8>>2]=c[f+8>>2];c[Q+12>>2]=c[f+12>>2];c[R>>2]=c[C>>2];c[R+4>>2]=c[C+4>>2];c[R+8>>2]=c[C+8>>2];c[R+12>>2]=c[C+12>>2];Ag(m,Q,R);c[S>>2]=c[m>>2];c[S+4>>2]=c[m+4>>2];c[S+8>>2]=c[m+8>>2];c[S+12>>2]=c[m+12>>2];C=d+16|0;f=(c[C>>2]|0)+16|0;o=(c[o>>2]|0)+56|0;c[Q>>2]=c[f>>2];c[Q+4>>2]=c[f+4>>2];c[Q+8>>2]=c[f+8>>2];c[Q+12>>2]=c[f+12>>2];c[R>>2]=c[o>>2];c[R+4>>2]=c[o+4>>2];c[R+8>>2]=c[o+8>>2];c[R+12>>2]=c[o+12>>2];Ag(n,Q,R);c[T>>2]=c[n>>2];c[T+4>>2]=c[n+4>>2];c[T+8>>2]=c[n+8>>2];c[T+12>>2]=c[n+12>>2];w=+h[(c[e>>2]|0)+96>>3]+ +h[S>>3];x=+h[T>>3]-+h[(c[C>>2]|0)+88>>3];u=x+w;v=u*.5;C=c[U>>2]|0;c[X>>2]=c[S>>2];c[X+4>>2]=c[S+4>>2];c[X+8>>2]=c[S+8>>2];c[X+12>>2]=c[S+12>>2];o=X+16|0;c[o>>2]=c[S>>2];c[o+4>>2]=c[S+4>>2];c[o+8>>2]=c[S+8>>2];c[o+12>>2]=c[S+12>>2];e=X+32|0;c[e>>2]=c[T>>2];c[e+4>>2]=c[T+4>>2];c[e+8>>2]=c[T+8>>2];c[e+12>>2]=c[T+12>>2];f=X+48|0;c[f>>2]=c[T>>2];c[f+4>>2]=c[T+4>>2];c[f+8>>2]=c[T+8>>2];c[f+12>>2]=c[T+12>>2];Jz(C,c[((c[C>>2]&3|0)==2?C:C+-48|0)+40>>2]|0,X,4,17224);C=c[(c[C+16>>2]|0)+96>>2]|0;h[C+56>>3]=v;z=S+8|0;r=+h[z>>3];s=+h[C+32>>3];h[C+64>>3]=(s+6.0)*.5+r;a[C+81>>0]=1;r=r+3.0;B=+h[C+24>>3];A=(u-B)*.5;B=(B+u)*.5;C=X+24|0;D=X+40|0;E=X+56|0;F=X+64|0;G=T+8|0;H=X+72|0;I=X+80|0;J=X+88|0;K=X+96|0;L=X+104|0;M=X+112|0;N=X+120|0;O=V+4|0;n=(i|0)==6&1;q=0.0;p=0.0;s=s+r;m=1;while(1){if((m|0)>=(j|0)){y=6;break}d=c[U+(m<<2)>>2]|0;if(!(m&1)){c[X>>2]=c[S>>2];c[X+4>>2]=c[S+4>>2];c[X+8>>2]=c[S+8>>2];c[X+12>>2]=c[S+12>>2];h[o>>3]=A;h[C>>3]=+h[z>>3];h[e>>3]=A;h[D>>3]=s;h[f>>3]=B;h[E>>3]=s;h[F>>3]=B;t=+h[G>>3];h[H>>3]=t;Z=+h[T>>3];h[I>>3]=Z;h[J>>3]=t;h[K>>3]=Z;Z=s+6.0;h[L>>3]=Z;h[M>>3]=+h[S>>3];h[N>>3]=Z;s=+h[(c[(c[d+16>>2]|0)+96>>2]|0)+32>>3];t=Z+s*.5;s=Z+s}else{k=d+16|0;b=c[(c[k>>2]|0)+96>>2]|0;if((m|0)==1){p=+h[b+24>>3];q=(p+u)*.5;p=(u-p)*.5}r=r+-6.0-+h[b+32>>3];c[X>>2]=c[S>>2];c[X+4>>2]=c[S+4>>2];c[X+8>>2]=c[S+8>>2];c[X+12>>2]=c[S+12>>2];h[o>>3]=+h[S>>3];t=r+-6.0;h[C>>3]=t;h[e>>3]=+h[T>>3];h[D>>3]=t;c[f>>2]=c[T>>2];c[f+4>>2]=c[T+4>>2];c[f+8>>2]=c[T+8>>2];c[f+12>>2]=c[T+12>>2];h[F>>3]=q;h[H>>3]=+h[G>>3];h[I>>3]=q;h[J>>3]=r;h[K>>3]=p;h[L>>3]=r;h[M>>3]=p;h[N>>3]=+h[z>>3];t=+h[(c[(c[k>>2]|0)+96>>2]|0)+32>>3]*.5+r}c[O>>2]=8;c[V>>2]=X;c[P>>2]=c[S>>2];c[P+4>>2]=c[S+4>>2];c[P+8>>2]=c[S+8>>2];c[P+12>>2]=c[S+12>>2];c[Q>>2]=c[T>>2];c[Q+4>>2]=c[T+4>>2];c[Q+8>>2]=c[T+8>>2];c[Q+12>>2]=c[T+12>>2];c[R>>2]=c[V>>2];c[R+4>>2]=c[V+4>>2];k=jy(P,Q,R,W,n)|0;b=c[W>>2]|0;if(!b)break;i=c[(c[d+16>>2]|0)+96>>2]|0;h[i+56>>3]=v;h[i+64>>3]=t;a[i+81>>0]=1;Jz(d,c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0,k,b,17224);m=m+1|0}a:do if((y|0)==6){v=(x+w*2.0)*.3333333333333333;u=(x*2.0+w)*.3333333333333333;while(1){if((m|0)>=(g|0))break;d=c[U+(m<<2)>>2]|0;if(!(m&1)){c[X>>2]=c[S>>2];c[X+4>>2]=c[S+4>>2];c[X+8>>2]=c[S+8>>2];c[X+12>>2]=c[S+12>>2];h[o>>3]=A;h[C>>3]=+h[z>>3];h[e>>3]=A;h[D>>3]=s;h[f>>3]=B;h[E>>3]=s;h[F>>3]=B;t=+h[G>>3];h[H>>3]=t;Z=+h[T>>3];h[I>>3]=Z;h[J>>3]=t;h[K>>3]=Z;Z=s+6.0;h[L>>3]=Z;h[M>>3]=+h[S>>3];s=Z;t=p;p=Z}else{y=(m|0)==1;t=y?v:p;q=y?u:q;p=r+-6.0;c[X>>2]=c[S>>2];c[X+4>>2]=c[S+4>>2];c[X+8>>2]=c[S+8>>2];c[X+12>>2]=c[S+12>>2];h[o>>3]=+h[S>>3];r=r+-12.0;h[C>>3]=r;h[e>>3]=+h[T>>3];h[D>>3]=r;c[f>>2]=c[T>>2];c[f+4>>2]=c[T+4>>2];c[f+8>>2]=c[T+8>>2];c[f+12>>2]=c[T+12>>2];h[F>>3]=q;h[H>>3]=+h[G>>3];h[I>>3]=q;h[J>>3]=p;h[K>>3]=t;h[L>>3]=p;h[M>>3]=t;r=p;p=+h[z>>3]}h[N>>3]=p;c[O>>2]=8;c[V>>2]=X;c[P>>2]=c[S>>2];c[P+4>>2]=c[S+4>>2];c[P+8>>2]=c[S+8>>2];c[P+12>>2]=c[S+12>>2];c[Q>>2]=c[T>>2];c[Q+4>>2]=c[T+4>>2];c[Q+8>>2]=c[T+8>>2];c[Q+12>>2]=c[T+12>>2];c[R>>2]=c[V>>2];c[R+4>>2]=c[V+4>>2];k=jy(P,Q,R,W,n)|0;b=c[W>>2]|0;if(!b)break a;Jz(d,c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0,k,b,17224);m=m+1|0;p=t}_I(U)}while(0);l=Y;return}function Kg(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0;g=l;l=l+16|0;f=g;j=(qn(b)|0)==0;j=j?17648:17640;a[f>>0]=a[j>>0]|0;a[f+1>>0]=a[j+1>>0]|0;a[f+2>>0]=a[j+2>>0]|0;a[f+3>>0]=a[j+3>>0]|0;f=gn(78335,f,0)|0;No(f,122277,280,1)|0;ym(f,0,80018,174181)|0;j=vw(96)|0;e=c[f+16>>2]|0;c[e+8>>2]=j;i=c[b+16>>2]|0;k=c[i+8>>2]|0;h[j>>3]=+h[k>>3];h[j+24>>3]=+h[k+24>>3];a[e+115>>0]=a[i+115>>0]|0;c[e+116>>2]=c[i+116>>2]&1^1;c[e+248>>2]=c[i+248>>2];c[e+252>>2]=c[i+252>>2];e=Dm(so(b)|0,1,0)|0;while(1){if(!e)break;ym(f,1,c[e+8>>2]|0,c[e+12>>2]|0)|0;e=Dm(so(b)|0,1,e)|0}e=Dm(so(b)|0,2,0)|0;while(1){if(!e)break;ym(f,2,c[e+8>>2]|0,c[e+12>>2]|0)|0;e=Dm(so(b)|0,2,e)|0}if(!(ym(f,2,96251,0)|0))ym(f,2,96251,174181)|0;if(!(ym(f,2,96242,0)|0))ym(f,2,96242,174181)|0;Pg(f,d);l=g;return f|0}function Lg(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;e=l;l=l+16|0;d=e;a=no(a,Dn(b)|0,1)|0;No(a,122241,304,1)|0;Mm(b,a)|0;if((By(b)|0)==2){f=b+16|0;b=ww((rJ(c[c[(c[f>>2]|0)+104>>2]>>2]|0)|0)+3|0)|0;c[d>>2]=c[c[(c[f>>2]|0)+104>>2]>>2];pL(b,78330,d)|0;Km(a,86240,b)|0}l=e;return a|0}function Mg(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;c=an(a,b,c,0,1)|0;No(c,122254,176,1)|0;Mm(d,c)|0;return c|0}function Ng(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0.0;i=l;l=l+32|0;g=i+16|0;f=i;if(e|0){j=+h[b>>3];e=b+8|0;h[b>>3]=+h[e>>3];h[e>>3]=-j};c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];c[g>>2]=c[d>>2];c[g+4>>2]=c[d+4>>2];c[g+8>>2]=c[d+8>>2];c[g+12>>2]=c[d+12>>2];Ag(a,f,g);l=i;return}function Og(a,b){a=a|0;b=b|0;c[42233]=c[b>>2];c[42237]=c[b+4>>2];c[42238]=c[b+8>>2];c[42218]=c[b+12>>2];c[42219]=c[b+16>>2];c[42225]=c[b+20>>2];c[42224]=c[b+24>>2];c[42223]=c[b+28>>2];c[42249]=c[b+32>>2];c[42241]=c[b+36>>2];c[42226]=c[b+40>>2];c[42236]=c[b+44>>2];c[42245]=c[b+48>>2];c[42244]=c[b+52>>2];c[42243]=c[b+56>>2];c[42248]=c[b+60>>2];c[42242]=c[b+64>>2];c[42227]=c[b+68>>2];c[42189]=c[b+72>>2];c[42190]=c[b+76>>2];c[42191]=c[b+80>>2];c[42201]=c[b+84>>2];c[42194]=c[b+88>>2];c[42195]=c[b+92>>2];c[42196]=c[b+96>>2];c[42198]=c[b+100>>2];c[42199]=c[b+104>>2];c[42202]=c[b+108>>2];c[42205]=c[b+112>>2];c[42203]=c[b+116>>2];c[42204]=c[b+120>>2];c[42207]=c[b+124>>2];c[42206]=c[b+128>>2];c[42208]=c[b+132>>2];c[42209]=c[b+136>>2];c[42200]=c[b+140>>2];c[42212]=c[b+144>>2];c[42184]=c[b+148>>2];c[42181]=c[b+152>>2];_I(b);Ef(a);ln(a)|0;return}function Pg(a,b){a=a|0;b=b|0;c[b>>2]=c[42233];c[b+4>>2]=c[42237];c[b+8>>2]=c[42238];c[b+12>>2]=c[42218];c[b+16>>2]=c[42219];c[b+20>>2]=c[42225];c[b+24>>2]=c[42224];c[b+28>>2]=c[42223];c[b+32>>2]=c[42249];c[b+36>>2]=c[42241];c[b+40>>2]=c[42226];c[b+44>>2]=c[42236];c[b+48>>2]=c[42245];c[b+52>>2]=c[42244];c[b+56>>2]=c[42243];c[b+60>>2]=c[42248];c[b+64>>2]=c[42242];c[b+68>>2]=c[42227];c[b+72>>2]=c[42189];c[b+76>>2]=c[42190];c[b+80>>2]=c[42191];c[b+84>>2]=c[42201];c[b+88>>2]=c[42194];c[b+92>>2]=c[42195];c[b+96>>2]=c[42196];c[b+100>>2]=c[42198];c[b+104>>2]=c[42199];c[b+108>>2]=c[42202];c[b+112>>2]=c[42205];c[b+116>>2]=c[42203];c[b+120>>2]=c[42204];c[b+124>>2]=c[42207];c[b+128>>2]=c[42206];c[b+132>>2]=c[42208];c[b+136>>2]=c[42209];c[b+140>>2]=c[42200];c[b+144>>2]=c[42212];c[b+152>>2]=c[42181];c[b+148>>2]=c[42184];c[42233]=0;c[42237]=ym(a,2,80259,0)|0;c[42238]=ym(a,2,80268,0)|0;b=ym(a,2,86614,0)|0;c[42218]=b;if(!b)c[42218]=ym(a,2,86614,174181)|0;c[42219]=0;c[42225]=0;c[42224]=ym(a,2,86494,0)|0;c[42223]=ym(a,2,86485,0)|0;c[42249]=ym(a,2,86790,0)|0;c[42241]=0;c[42226]=ym(a,2,86240,0)|0;c[42236]=ym(a,2,78340,0)|0;c[42245]=0;c[42244]=ym(a,2,86690,0)|0;c[42243]=ym(a,2,86676,0)|0;c[42248]=ym(a,2,86781,0)|0;c[42242]=0;c[42227]=0;c[42189]=ym(a,1,96049,0)|0;c[42190]=ym(a,1,96043,0)|0;c[42191]=ym(a,1,90671,0)|0;c[42201]=0;c[42194]=ym(a,1,86485,0)|0;c[42195]=ym(a,1,86494,0)|0;c[42196]=0;c[42198]=ym(a,1,86240,0)|0;c[42199]=0;c[42202]=0;c[42205]=ym(a,1,86446,0)|0;c[42203]=ym(a,1,86529,0)|0;c[42204]=ym(a,1,86535,0)|0;c[42207]=ym(a,1,86547,0)|0;c[42206]=ym(a,1,86385,0)|0;c[42208]=ym(a,1,86552,0)|0;c[42209]=ym(a,1,78352,0)|0;c[42200]=0;c[42212]=0;c[42184]=ym(a,0,86446,0)|0;return}function Qg(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0.0,g=0.0,i=0.0;d=c[(c[(c[a>>2]|0)+16>>2]|0)+96>>2]|0;a=c[(c[(c[b>>2]|0)+16>>2]|0)+96>>2]|0;b=(a|0)!=0;if(d)if(b?(f=+h[d+24>>3],i=+h[d+32>>3],e=+h[a+24>>3],g=+h[a+32>>3],!(f>e)):0)if(!(f<e))if(i>g)a=-1;else a=i<g&1;else a=1;else a=-1;else a=b&1;return a|0}function Rg(a){a=a|0;var b=0,d=0,e=0;while(1){b=c[(c[a+16>>2]|0)+116>>2]|0;if(!b)break;else a=b}b=c[a>>2]&3;d=c[(c[((b|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0;e=c[d+232>>2]|0;a=c[(c[((b|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0;b=c[a+232>>2]|0;if((e|0)<=(b|0))if((e|0)<(b|0))a=1;else a=(c[d+236>>2]|0)<(c[a+236>>2]|0)&1;else a=0;return a|0}function Sg(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;d=l;l=l+16|0;e=d+8|0;f=d;h=(c[a+16>>2]|0)+180|0;g=(c[b+16>>2]|0)+172|0;c[f>>2]=c[h>>2];c[f+4>>2]=c[h+4>>2];c[e>>2]=c[g>>2];c[e+4>>2]=c[g+4>>2];b=Tg(a,f,b,e)|0;l=d;return b|0}function Tg(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;f=c[b+4>>2]|0;a:do if((f|0)>0?(g=c[e+4>>2]|0,(g|0)>0):0)if((f|0)<(g|0)){f=c[b>>2]|0;e=0;while(1){b=c[f+(e<<2)>>2]|0;if(!b){b=0;break a}if((c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)==(d|0))break;else e=e+1|0}}else{f=c[e>>2]|0;e=0;while(1){b=c[f+(e<<2)>>2]|0;if(!b){b=0;break a}if((c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)==(a|0))break;else e=e+1|0}}else b=0;while(0);return b|0}function Ug(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;d=l;l=l+16|0;e=d+8|0;f=d;h=(c[a+16>>2]|0)+188|0;g=(c[b+16>>2]|0)+196|0;c[f>>2]=c[h>>2];c[f+4>>2]=c[h+4>>2];c[e>>2]=c[g>>2];c[e+4>>2]=c[g+4>>2];b=Tg(a,f,b,e)|0;l=d;return b|0}function Vg(a){a=a|0;var b=0,d=0,e=0,f=0;e=a+48|0;d=c[(c[((c[a>>2]&3|0)==3?a:e)+40>>2]|0)+16>>2]|0;b=c[d+180>>2]|0;if(!b)b=ww((c[d+184>>2]<<2)+8|0)|0;else b=yw(b,(c[d+184>>2]<<2)+8|0)|0;c[(c[(c[((c[a>>2]&3|0)==3?a:e)+40>>2]|0)+16>>2]|0)+180>>2]=b;f=c[(c[((c[a>>2]&3|0)==3?a:e)+40>>2]|0)+16>>2]|0;d=c[f+180>>2]|0;f=f+184|0;b=c[f>>2]|0;c[f>>2]=b+1;c[d+(b<<2)>>2]=a;e=c[(c[((c[a>>2]&3|0)==3?a:e)+40>>2]|0)+16>>2]|0;c[(c[e+180>>2]|0)+(c[e+184>>2]<<2)>>2]=0;e=a+-48|0;b=c[(c[((c[a>>2]&3|0)==2?a:e)+40>>2]|0)+16>>2]|0;d=c[b+172>>2]|0;if(!d)b=ww((c[b+176>>2]<<2)+8|0)|0;else b=yw(d,(c[b+176>>2]<<2)+8|0)|0;c[(c[(c[((c[a>>2]&3|0)==2?a:e)+40>>2]|0)+16>>2]|0)+172>>2]=b;b=c[(c[((c[a>>2]&3|0)==2?a:e)+40>>2]|0)+16>>2]|0;d=c[b+172>>2]|0;b=b+176|0;f=c[b>>2]|0;c[b>>2]=f+1;c[d+(f<<2)>>2]=a;f=c[(c[((c[a>>2]&3|0)==2?a:e)+40>>2]|0)+16>>2]|0;c[(c[f+172>>2]|0)+(c[f+176>>2]<<2)>>2]=0;return a|0}function Wg(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;e=a+4|0;f=c[e>>2]|0;d=0;while(1){if((d|0)>=(f|0))break;g=c[a>>2]|0;h=g+(d<<2)|0;if((c[h>>2]|0)==(b|0)){i=4;break}else d=d+1|0}if((i|0)==4){i=f+-1|0;c[e>>2]=i;c[h>>2]=c[g+(i<<2)>>2];c[(c[a>>2]|0)+(i<<2)>>2]=0}return}function Xg(a){a=a|0;if(!a)ma(78393,78403,117,78412);else{Wg((c[(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+180|0,a);Wg((c[(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+172|0,a);return}}function Yg(a){a=a|0;var b=0,d=0,e=0,f=0;e=a+48|0;d=c[(c[((c[a>>2]&3|0)==3?a:e)+40>>2]|0)+16>>2]|0;b=c[d+204>>2]|0;if(!b)b=ww((c[d+208>>2]<<2)+8|0)|0;else b=yw(b,(c[d+208>>2]<<2)+8|0)|0;c[(c[(c[((c[a>>2]&3|0)==3?a:e)+40>>2]|0)+16>>2]|0)+204>>2]=b;f=c[(c[((c[a>>2]&3|0)==3?a:e)+40>>2]|0)+16>>2]|0;b=c[f+204>>2]|0;f=f+208|0;d=c[f>>2]|0;c[f>>2]=d+1;c[b+(d<<2)>>2]=a;e=c[(c[((c[a>>2]&3|0)==3?a:e)+40>>2]|0)+16>>2]|0;c[(c[e+204>>2]|0)+(c[e+208>>2]<<2)>>2]=0;return}function Zg(a){a=a|0;_g(a,(c[(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+204|0);return}function _g(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;h=b+4|0;e=c[h>>2]|0;f=c[b>>2]|0;d=0;while(1){if((d|0)>=(e|0)){g=4;break}if((c[f+(d<<2)>>2]|0)==(a|0))break;else d=d+1|0}if((g|0)==4){if(!f)d=ww((e<<2)+8|0)|0;else d=yw(f,(e<<2)+8|0)|0;c[b>>2]=d;f=c[h>>2]|0;g=f+1|0;c[h>>2]=g;c[d+(f<<2)>>2]=a;c[(c[b>>2]|0)+(g<<2)>>2]=0}return}function $g(d,e,f){d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0;n=vw(96)|0;g=n+48|0;c[g>>2]=c[g>>2]|3;c[n>>2]=c[n>>2]&-4|2;h=vw(176)|0;m=n+16|0;c[m>>2]=h;c[((c[n>>2]&3|0)==3?n:g)+40>>2]=d;j=n+-48|0;c[((c[n>>2]&3|0)==2?n:j)+40>>2]=e;a[h+112>>0]=1;if(!f){c[h+156>>2]=1;b[h+154>>1]=1;b[h+168>>1]=1;b[h+170>>1]=1}else{c[n>>2]=c[n>>2]&15|c[f>>2]&-16;c[g>>2]=c[g>>2]&15|c[f>>2]&-16;l=f+16|0;i=c[l>>2]|0;b[h+168>>1]=b[i+168>>1]|0;b[h+154>>1]=b[i+154>>1]|0;c[h+156>>2]=c[i+156>>2];b[h+170>>1]=b[i+170>>1]|0;d=c[((c[n>>2]&3|0)==3?n:g)+40>>2]|0;e=c[f>>2]&3;k=f+48|0;if((d|0)!=(c[((e|0)==3?f:k)+40>>2]|0)){g=f+-48|0;if((d|0)==(c[((e|0)==2?f:g)+40>>2]|0)){h=h+16|0;d=i+56|0;e=h+40|0;do{c[h>>2]=c[d>>2];h=h+4|0;d=d+4|0}while((h|0)<(e|0))}}else{h=h+16|0;d=i+16|0;e=h+40|0;do{c[h>>2]=c[d>>2];h=h+4|0;d=d+4|0}while((h|0)<(e|0));g=f+-48|0}d=c[((c[n>>2]&3|0)==2?n:j)+40>>2]|0;e=c[f>>2]&3;if((d|0)!=(c[((e|0)==2?f:g)+40>>2]|0)){if((d|0)==(c[((e|0)==3?f:k)+40>>2]|0)){h=(c[m>>2]|0)+56|0;d=(c[l>>2]|0)+16|0;e=h+40|0;do{c[h>>2]=c[d>>2];h=h+4|0;d=d+4|0}while((h|0)<(e|0))}}else{h=(c[m>>2]|0)+56|0;d=(c[l>>2]|0)+56|0;e=h+40|0;do{c[h>>2]=c[d>>2];h=h+4|0;d=d+4|0}while((h|0)<(e|0))}d=(c[l>>2]|0)+172|0;if(!(c[d>>2]|0))c[d>>2]=n;c[(c[m>>2]|0)+116>>2]=f}return n|0}function ah(a,b,c){a=a|0;b=b|0;c=c|0;return Vg($g(a,b,c)|0)|0}function bh(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;a=(c[a+16>>2]|0)+192|0;f=c[a>>2]|0;d=c[b+16>>2]|0;c[d+164>>2]=f;e=f;if(f|0)c[(c[e+16>>2]|0)+168>>2]=b;c[a>>2]=b;c[d+168>>2]=0;if((e|0)==(b|0))ma(78429,78403,215,78445);else return}function ch(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;if((a|0)==(b|0))ma(78455,78403,220,78462);f=c[b+16>>2]|0;d=f+164|0;if(c[d>>2]|0)ma(78475,78403,221,78462);e=(c[a+16>>2]|0)+164|0;c[d>>2]=c[e>>2];d=c[e>>2]|0;if(d|0)c[(c[d+16>>2]|0)+168>>2]=b;c[f+168>>2]=a;c[e>>2]=b;return}function dh(a,b){a=a|0;b=b|0;var d=0,e=0;if(!(eh(a,b)|0))ma(78494,78403,231,78515);b=c[b+16>>2]|0;d=c[b+164>>2]|0;e=d;b=b+168|0;if(d|0)c[(c[d+16>>2]|0)+168>>2]=c[b>>2];b=c[b>>2]|0;if(!b)c[(c[a+16>>2]|0)+192>>2]=e;else c[(c[b+16>>2]|0)+164>>2]=e;return}function eh(a,b){a=a|0;b=b|0;a=(c[a+16>>2]|0)+192|0;while(1){a=c[a>>2]|0;if((a|0)==0|(a|0)==(b|0))break;a=(c[a+16>>2]|0)+164|0}return a|0}function fh(b){b=b|0;var d=0,e=0,f=0,g=0;d=vw(64)|0;c[d>>2]=c[d>>2]&-4|1;e=d+16|0;c[e>>2]=vw(304)|0;c[d+24>>2]=so(b)|0;g=c[e>>2]|0;a[g+156>>0]=1;h[g+96>>3]=1.0;h[g+88>>3]=1.0;h[g+80>>3]=1.0;c[g+216>>2]=1;c[g+176>>2]=0;g=vw(20)|0;f=c[e>>2]|0;c[f+172>>2]=g;c[f+184>>2]=0;f=vw(20)|0;c[(c[e>>2]|0)+180>>2]=f;bh(b,d);b=(c[b+16>>2]|0)+232|0;c[b>>2]=(c[b>>2]|0)+1;return d|0}function gh(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0;g=d+48|0;e=c[(c[((c[d>>2]&3|0)==3?d:g)+40>>2]|0)+16>>2]|0;f=c[e+188>>2]|0;if(!f)e=ww((c[e+192>>2]<<2)+8|0)|0;else e=yw(f,(c[e+192>>2]<<2)+8|0)|0;c[(c[(c[((c[d>>2]&3|0)==3?d:g)+40>>2]|0)+16>>2]|0)+188>>2]=e;h=c[(c[((c[d>>2]&3|0)==3?d:g)+40>>2]|0)+16>>2]|0;f=c[h+188>>2]|0;h=h+192|0;e=c[h>>2]|0;c[h>>2]=e+1;c[f+(e<<2)>>2]=d;g=c[(c[((c[d>>2]&3|0)==3?d:g)+40>>2]|0)+16>>2]|0;c[(c[g+188>>2]|0)+(c[g+192>>2]<<2)>>2]=0;g=d+-48|0;e=c[(c[((c[d>>2]&3|0)==2?d:g)+40>>2]|0)+16>>2]|0;f=c[e+196>>2]|0;if(!f)e=ww((c[e+200>>2]<<2)+8|0)|0;else e=yw(f,(c[e+200>>2]<<2)+8|0)|0;c[(c[(c[((c[d>>2]&3|0)==2?d:g)+40>>2]|0)+16>>2]|0)+196>>2]=e;e=c[(c[((c[d>>2]&3|0)==2?d:g)+40>>2]|0)+16>>2]|0;f=c[e+196>>2]|0;e=e+200|0;h=c[e>>2]|0;c[e>>2]=h+1;c[f+(h<<2)>>2]=d;h=c[(c[((c[d>>2]&3|0)==2?d:g)+40>>2]|0)+16>>2]|0;c[(c[h+196>>2]|0)+(c[h+200>>2]<<2)>>2]=0;a[(c[b+16>>2]|0)+240>>0]=1;a[(c[(Vf(b)|0)+16>>2]|0)+240>>0]=1;return}function hh(a){a=a|0;var b=0,d=0;if(!a)ma(78393,78403,269,78532);b=c[(c[a+16>>2]|0)+116>>2]|0;if(b|0?(d=(c[b+16>>2]|0)+172|0,(c[d>>2]|0)==(a|0)):0)c[d>>2]=0;Wg((c[(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+188|0,a);Wg((c[(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+196|0,a);return}function ih(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;f=l;l=l+16|0;d=(c[a+16>>2]|0)+172|0;e=c[d>>2]|0;do if((e|0)!=(b|0))if(!e){c[d>>2]=b;jh(a,b);break}else ma(80440,78403,340,78570);else _l(0,78549,f)|0;while(0);l=f;return}function jh(a,d){a=a|0;d=d|0;var f=0,g=0,h=0,i=0;f=(c[d+16>>2]|0)+170|0;i=c[a+16>>2]|0;a=b[i+170>>1]|0;if((e[f>>1]|0)<(a&65535))b[f>>1]=a;g=i+168|0;h=i+154|0;f=i+156|0;a=d;while(1){if(!a)break;d=c[a+16>>2]|0;i=d+168|0;b[i>>1]=(e[i>>1]|0)+(e[g>>1]|0);i=d+154|0;b[i>>1]=(e[i>>1]|0)+(e[h>>1]|0);i=d+156|0;c[i>>2]=(c[i>>2]|0)+(c[f>>2]|0);a=c[d+172>>2]|0}return}function kh(d){d=d|0;var e=0,f=0,g=0,h=0;f=d+16|0;e=c[(c[f>>2]|0)+172>>2]|0;a:while(1){if(!e)break;lh(e,d);h=c[e+16>>2]|0;g=c[h+172>>2]|0;if(!(b[h+168>>1]|0))mh(e);while(1){if((a[(c[e+16>>2]|0)+112>>0]|0)!=1){e=g;continue a}e=c[(c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0)+16>>2]|0;if((a[e+156>>0]|0)!=1){e=g;continue a}if((c[e+184>>2]|0)!=1){e=g;continue a}e=c[c[e+180>>2]>>2]|0;lh(e,d)}}c[(c[f>>2]|0)+172>>2]=0;return}function lh(a,d){a=a|0;d=d|0;var f=0;f=c[d+16>>2]|0;d=c[a+16>>2]|0;a=d+168|0;b[a>>1]=(e[a>>1]|0)-(e[f+168>>1]|0);a=d+154|0;b[a>>1]=(e[a>>1]|0)-(e[f+154>>1]|0);d=d+156|0;c[d>>2]=(c[d>>2]|0)-(c[f+156>>2]|0);return}function mh(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;if(!a)ma(78393,78403,128,78583);g=a+48|0;d=0;while(1){b=c[a>>2]|0;e=(c[(c[((b&3|0)==3?a:g)+40>>2]|0)+16>>2]|0)+180|0;f=c[(c[e>>2]|0)+(d<<2)>>2]|0;if(!f)break;if((f|0)==(a|0))Wg(e,a);d=d+1|0}g=a+-48|0;f=0;while(1){d=(c[(c[((b&3|0)==2?a:g)+40>>2]|0)+16>>2]|0)+172|0;e=c[(c[d>>2]|0)+(f<<2)>>2]|0;if(!e)break;if((e|0)==(a|0)){Wg(d,a);b=c[a>>2]|0}f=f+1|0}return}function nh(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;p=l;l=l+1040|0;n=p+1032|0;o=p;m=p+8|0;k=d+16|0;d=c[k>>2]|0;j=b[d+236>>1]|0;while(1){if((j|0)>(b[d+238>>1]|0))break;i=c[d+196>>2]|0;h=i+(j<<6)|0;i=i+(j<<6)+4|0;g=0;d=0;while(1){if((g|0)>=(c[h>>2]|0))break;e=c[(c[i>>2]|0)+(g<<2)>>2]|0;f=e+16|0;if(c[(c[f>>2]|0)+112>>2]|0){if(!d){a[n>>0]=a[17644]|0;a[n+1>>0]=a[17645]|0;a[n+2>>0]=a[17646]|0;a[n+3>>0]=a[17647]|0;d=gn(78605,n,0)|0}c[o>>2]=g;pL(m,122187,o)|0;t=no(d,m,1)|0;No(t,78608,24,1)|0;q=c[(c[f>>2]|0)+180>>2]|0;r=c[q>>2]|0;r=c[(c[(c[((c[r>>2]&3|0)==2?r:r+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;q=c[q+4>>2]|0;q=c[(c[(c[((c[q>>2]&3|0)==2?q:q+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;s=(r|0)>(q|0);f=c[t+16>>2]|0;c[f+12>>2]=s?q:r;c[f+16>>2]=s?r:q;c[f+20>>2]=e}g=g+1|0}if(d|0){if((mn(d)|0)>1)oh(d,h);ln(d)|0}j=j+1|0;d=c[k>>2]|0}l=p;return}function oh(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;d=0;h=co(a)|0;a:while(1){if(!h)break;i=eo(a,h)|0;j=h+16|0;g=i;while(1){if(!g){h=i;continue a}f=c[g+16>>2]|0;e=c[j>>2]|0;if((c[f+16>>2]|0)>(c[e+12>>2]|0)){if((c[e+16>>2]|0)<=(c[f+12>>2]|0))an(a,h,g,0,1)|0}else{an(a,g,h,0,1)|0;d=1}g=eo(a,g)|0}}do if(d|0){h=Ip(a,78613,1)|0;j=vw((mn(a)|0)<<2)|0;i=vw((mn(a)|0)<<2)|0;f=b+4|0;e=co(a)|0;b:while(1){if(!e){d=23;break}if((c[(c[e+16>>2]|0)+8>>2]|0)==0?on(a,e,1,1)|0:0){c:do if(ph(a,e,h,i)|0){g=mn(h)|0;if((qh(a,h,j)|0)!=(g|0)){d=17;break b}rL(i,g,4,12);d=0;while(1){if((d|0)>=(g|0))break c;b=i+(d<<2)|0;k=c[j+(d<<2)>>2]|0;c[(c[k+16>>2]|0)+236>>2]=c[b>>2];c[(c[f>>2]|0)+(c[b>>2]<<2)>>2]=k;d=d+1|0}}while(0);sh(h)}e=eo(a,e)|0}if((d|0)==17)ma(78618,78628,265,78639);else if((d|0)==23){_I(j);break}}while(0);return}function ph(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;h=c[b+16>>2]|0;c[h+8>>2]=1;h=c[(c[(c[h+20>>2]|0)+16>>2]|0)+236>>2]|0;c[e+((mn(d)|0)<<2)>>2]=h;io(d,b,1)|0;h=Pm(a,b)|0;f=0;while(1){if(!h)break;j=c[h>>2]&3;g=c[((j|0)==2?h:h+-48|0)+40>>2]|0;i=c[g+16>>2]|0;f=f+((c[(c[(c[i+20>>2]|0)+16>>2]|0)+236>>2]|0)>(c[(c[(c[(c[(c[((j|0)==3?h:h+48|0)+40>>2]|0)+16>>2]|0)+20>>2]|0)+16>>2]|0)+236>>2]|0)&1)|0;if(!(c[i+8>>2]|0))f=(ph(a,g,d,e)|0)+f|0;h=Rm(a,h)|0}h=Sm(a,b)|0;while(1){if(!h)break;i=c[h>>2]&3;g=c[((i|0)==3?h:h+48|0)+40>>2]|0;j=c[g+16>>2]|0;f=f+((c[(c[(c[(c[(c[((i|0)==2?h:h+-48|0)+40>>2]|0)+16>>2]|0)+20>>2]|0)+16>>2]|0)+236>>2]|0)>(c[(c[(c[j+20>>2]|0)+16>>2]|0)+236>>2]|0)&1)|0;if(!(c[j+8>>2]|0))f=(ph(a,g,d,e)|0)+f|0;h=Tm(a,h)|0}return f|0}function qh(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;f=0;while(1){e=th(a,b)|0;if(!e)break;c[d+(f<<2)>>2]=c[(c[e+16>>2]|0)+20>>2];po(b,e)|0;e=Pm(a,e)|0;while(1){if(!e)break;g=Rm(a,e)|0;dn(a,e)|0;e=g}f=f+1|0}return f|0}function rh(a,b){a=a|0;b=b|0;return (c[a>>2]|0)-(c[b>>2]|0)|0}function sh(a){a=a|0;var b=0,c=0;b=co(a)|0;while(1){if(!b)break;c=eo(a,b)|0;po(a,b)|0;b=c}return}function th(a,b){a=a|0;b=b|0;var c=0;c=co(b)|0;while(1){if(!c){c=0;break}if(!(on(a,c,1,0)|0))break;c=eo(b,c)|0}return c|0}function uh(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;vh(b);i=b+16|0;f=0;e=0;while(1){if((f|0)>=(c[(c[i>>2]|0)+220>>2]|0))break;wh(b,f);f=f+1|0;e=(xh(b,0,d)|0)+e|0}yh(b);h=1;while(1){f=c[i>>2]|0;g=c[f+180>>2]|0;if((h|0)>(g|0))break;g=(zh(c[(c[f+184>>2]|0)+(h<<2)>>2]|0,d)|0)+e|0;h=h+1|0;e=g}do if((g|0)>0){f=Im(b,78653)|0;if(f|0?(IA(f)|0)<<24>>24==0:0)break;Yk(b);a[173893]=1;e=xh(b,2,d)|0}while(0);Ah(b,e);return}function vh(d){d=d|0;var e=0;if(0)xA();a[173893]=0;c[41927]=d;e=((nn(Vf(d)|0)|0)<<2)+4|0;c[41926]=vw(e)|0;c[41925]=vw(e)|0;qi(d);e=d+16|0;if(b[(c[e>>2]|0)+136>>1]&16)ri(d);Fk(d);tl(d,1);si(d);Hh(d);e=c[e>>2]|0;c[41928]=b[e+236>>1];c[41929]=b[e+238>>1];return}function wh(a,d){a=a|0;d=d|0;var e=0,f=0,g=0;a=c[a+16>>2]|0;c[a+192>>2]=c[(c[a+216>>2]|0)+(d<<2)>>2];a:do if((d|0)>0){d=b[a+238>>1]|0;e=a+196|0;a=b[a+236>>1]|0;while(1){if((a|0)>(d|0))break a;f=c[e>>2]|0;g=f+(a<<6)+4|0;f=f+(a<<6)|0;c[g>>2]=(c[g>>2]|0)+(c[f>>2]<<2);c[f>>2]=0;a=a+1|0}}while(0);return}function xh(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+32|0;n=o;if((b|0)>1){e=Xh(0)|0;Yh(a)}else e=2147483647;m=c[13918]|0;k=b;f=0;b=e;while(1){if((k|0)>=3)break;f=c[42180]|0;if((k|0)==2)if((e|0)>(b|0)){_h(a);e=b}else e=b;else{e=(f|0)<4?f:4;if((Vf(a)|0)==(a|0))Zh(a,k);if(!k)Ih(a);Jh(a);g=Xh(0)|0;if((g|0)>(b|0)){f=e;e=g}else{Yh(a);f=e;e=g;b=g}}g=0;j=0;while(1){if((j|0)>=(f|0))break;if(0){c[n>>2]=k;c[n+4>>2]=j;c[n+8>>2]=g;c[n+12>>2]=e;c[n+16>>2]=b;zL(m,79046,n)|0}i=g+1|0;if((e|0)==0|(g|0)>=(c[41930]|0))break;$h(a,j);e=Xh(0)|0;if((e|0)>(b|0))g=i;else{Yh(a);g=+h[20878]*+(b|0)>+(e|0)?0:i;b=e}j=j+1|0}if(!e){e=0;break}else k=k+1|0}if((e|0)>(b|0))_h(a);if((b|0)>0){ai(a,0);e=Xh(0)|0}else e=b;a:do if(d|0){b=0;while(1){if((b|0)>=(f|0))break a;bi(a);b=b+1|0}}while(0);l=o;return e|0}function yh(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;p=l;l=l+16|0;n=p;Wh(a);k=a+16|0;d=c[k>>2]|0;m=c[13918]|0;j=b[d+236>>1]|0;while(1){if((j|0)>(b[d+238>>1]|0))break;e=c[d+196>>2]|0;f=c[e+(j<<6)+8>>2]|0;c[e+(j<<6)>>2]=f;g=c[e+(j<<6)+12>>2]|0;c[e+(j<<6)+4>>2]=g;i=0;while(1){if((i|0)>=(f|0))break;h=c[g+(i<<2)>>2]|0;if(!h){o=6;break}c[(c[h+16>>2]|0)+236>>2]=i;i=i+1|0}if((o|0)==6){o=0;if(0){e=Dn(a)|0;d=c[(c[(c[k>>2]|0)+196>>2]|0)+(j<<6)>>2]|0;c[n>>2]=e;c[n+4>>2]=j;c[n+8>>2]=i;c[n+12>>2]=d;zL(m,78996,n)|0;d=c[k>>2]|0;e=c[d+196>>2]|0}c[e+(j<<6)>>2]=i}j=j+1|0}l=p;return}function zh(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;Sk(a);Hh(a);Ih(a);Jh(a);f=a+16|0;d=xh(a,2,b)|0;e=1;while(1){g=c[f>>2]|0;if((e|0)>(c[g+180>>2]|0))break;d=(zh(c[(c[g+184>>2]|0)+(e<<2)>>2]|0,b)|0)+d|0;e=e+1|0}Kh(a);return d|0}function Ah(d,e){d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0;q=l;l=l+16|0;p=q;f=c[41925]|0;if(f|0){_I(f);c[41925]=0}f=c[41926]|0;if(f|0){_I(f);c[41926]=0}o=d+16|0;f=1;while(1){g=c[o>>2]|0;if((f|0)>(c[g+180>>2]|0))break;Bh(c[(c[g+184>>2]|0)+(f<<2)>>2]|0);f=f+1|0}n=b[g+236>>1]|0;f=g;while(1){if((n|0)>(b[f+238>>1]|0))break;else m=0;while(1){f=c[f+196>>2]|0;if((m|0)>=(c[f+(n<<6)>>2]|0))break;k=(c[(c[f+(n<<6)+4>>2]|0)+(m<<2)>>2]|0)+16|0;f=c[k>>2]|0;c[f+236>>2]=m;f=c[f+188>>2]|0;a:do if(f|0){g=0;while(1){i=c[f+(g<<2)>>2]|0;if(!i)break a;j=i+16|0;if((a[(c[j>>2]|0)+112>>0]|0)==4){hh(i);_I(c[j>>2]|0);_I(i);g=g+-1|0;f=c[(c[k>>2]|0)+188>>2]|0}g=g+1|0}}while(0);m=m+1|0;f=c[o>>2]|0}Ch(c[f+(n<<6)+56>>2]|0);n=n+1|0;f=c[o>>2]|0}if(0){o=c[13918]|0;d=Dn(d)|0;r=+yA();c[p>>2]=d;c[p+4>>2]=e;h[p+8>>3]=r;zL(o,78664,p)|0}l=q;return}function Bh(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;g=a+16|0;d=1;while(1){f=c[g>>2]|0;if((d|0)>(c[f+180>>2]|0))break;Bh(c[(c[f+184>>2]|0)+(d<<2)>>2]|0);d=d+1|0}a:do if(c[f+268>>2]|0){e=b[f+236>>1]|0;d=f;while(1){if((e|0)>(b[d+238>>1]|0))break a;j=c[(c[d+268>>2]|0)+(e<<2)>>2]|0;i=Dh(a,j,-1)|0;j=Dh(a,j,1)|0;c[(c[(c[g>>2]|0)+268>>2]|0)+(e<<2)>>2]=i;k=c[(c[(c[(Vf(a)|0)+16>>2]|0)+196>>2]|0)+(e<<6)+4>>2]|0;i=c[(c[i+16>>2]|0)+236>>2]|0;f=c[g>>2]|0;h=c[f+196>>2]|0;c[h+(e<<6)+4>>2]=k+(i<<2);c[h+(e<<6)>>2]=(c[(c[j+16>>2]|0)+236>>2]|0)+1-i;e=e+1|0;d=f}}while(0);return}function Ch(a){a=a|0;if(a|0){_I(c[a+8>>2]|0);_I(a)}return}function Dh(a,b,c){a=a|0;b=b|0;c=c|0;var d=0,e=0;d=b;while(1){b=Eh(b,c)|0;if(!b)break;if(Fh(a,b)|0){d=b;continue}e=(Gh(a,b)|0)==0;d=e?d:b}return d|0}function Eh(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;if(!a)ma(78703,78628,1023,78705);if((b|0)<0){a=c[a+16>>2]|0;e=c[a+236>>2]|0;if((e|0)>0){a=(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(c[a+232>>2]<<6)+4|0;d=e+-1|0;f=7}else g=0}else{a=c[a+16>>2]|0;e=c[a+236>>2]|0;a=(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(c[a+232>>2]<<6)+4|0;d=e+1|0;f=7}if((f|0)==7){a=c[(c[a>>2]|0)+(d<<2)>>2]|0;if(a)if((O((c[(c[a+16>>2]|0)+236>>2]|0)-e|0,b)|0)>0)g=a;else ma(78714,78628,1029,78705);else g=0}return g|0}function Fh(b,d){b=b|0;d=d|0;if(!(a[(c[d+16>>2]|0)+156>>0]|0))b=(Bo(b,d)|0)!=0&1;else b=0;return b|0}function Gh(b,d){b=b|0;d=d|0;var e=0,f=0;d=c[d+16>>2]|0;if(((a[d+156>>0]|0)==1?(c[d+176>>2]|0)==1:0)?(c[d+184>>2]|0)==1:0){d=c[d+180>>2]|0;while(1){d=c[d>>2]|0;e=c[d+16>>2]|0;if(!(a[e+112>>0]|0))break;else d=e+116|0}if(Bo(b,d)|0)d=1;else f=7}else f=7;if((f|0)==7)d=0;return d|0}function Hh(b){b=b|0;var d=0,e=0,f=0;f=l;l=l+16|0;e=f;d=c[42184]|0;a:do if((d|0)!=0|(c[42205]|0)!=0){d=FA(b,d,0)|0;if(d|0){switch(a[d>>0]|0){case 0:break a;case 111:{if(!(xJ(d,78916)|0)){Rh(b,1);break a}break}case 105:{if(!(xJ(d,83705)|0)){Rh(b,0);break a}break}default:{}}c[e>>2]=d;_l(1,78920,e)|0;break}d=Jp(b)|0;while(1){if(!d)break;if(!(Cj(d)|0))Hh(d);d=Kp(d)|0}if(c[42205]|0)Sh(b)}while(0);l=f;return}function Ih(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=d+16|0;e=c[k>>2]|0;j=b[e+236>>1]|0;while(1){if((j|0)>(b[e+238>>1]|0))break;else{f=0;i=0}while(1){g=c[e+196>>2]|0;h=c[g+(j<<6)>>2]|0;if((i|0)>=(h|0))break;g=c[(c[(c[g+(j<<6)+4>>2]|0)+(i<<2)>>2]|0)+16>>2]|0;a[g+158>>0]=0;a[g+157>>0]=0;c[g+284>>2]=i;if((f|0)==0&(c[g+192>>2]|0)>0){f=Ph(h,h)|0;e=c[k>>2]|0;c[(c[e+196>>2]|0)+(j<<6)+56>>2]=f;f=1}i=i+1|0}a:do if(f){i=0;f=h;while(1){if((i|0)>=(f|0))break a;h=c[(c[g+(j<<6)+4>>2]|0)+(i<<2)>>2]|0;if(!(a[(c[h+16>>2]|0)+157>>0]|0)){Qh(d,h);e=c[k>>2]|0;f=c[e+196>>2]|0;g=f;f=c[f+(j<<6)>>2]|0}i=i+1|0}}while(0);j=j+1|0}return}function Jh(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;s=d+16|0;e=c[s>>2]|0;if(a[e+240>>0]|0){h=0;r=b[e+236>>1]|0;q=0;i=0;a:while(1){if((r|0)>(b[e+238>>1]|0))break;f=c[e+196>>2]|0;g=c[f+(r<<6)>>2]|0;if(!g){g=q;f=i}else{f=c[f+(r<<6)+4>>2]|0;o=c[(c[(c[f>>2]|0)+16>>2]|0)+236>>2]|0;e=0;while(1){if((e|0)>=(g|0))break;a[(c[(c[f+(e<<2)>>2]|0)+16>>2]|0)+157>>0]=0;e=e+1|0}e=(e<<2)+4|0;if(!h)p=ww(e)|0;else p=yw(i,e)|0;m=0;n=0;while(1){e=c[s>>2]|0;f=c[e+196>>2]|0;g=c[f+(r<<6)>>2]|0;if((g|0)<=(n|0))break;j=c[(c[f+(r<<6)+4>>2]|0)+(((c[e+116>>2]&1|0)==0?g+~n|0:n)<<2)>>2]|0;l=j+16|0;e=0;k=0;while(1){i=c[l>>2]|0;if((e|0)>=(c[i+200>>2]|0)){f=0;g=0;e=i;break}i=k+((Lh(d,c[(c[i+196>>2]|0)+(e<<2)>>2]|0)|0)!=0&1)|0;e=e+1|0;k=i}while(1){if((g|0)>=(c[e+192>>2]|0))break;i=f+((Lh(d,c[(c[e+188>>2]|0)+(g<<2)>>2]|0)|0)!=0&1)|0;f=i;g=g+1|0;e=c[l>>2]|0}if(f|k)if((k|0)==0&(a[e+157>>0]|0)==0)e=(Mh(d,j,p+(m<<2)|0,r)|0)+m|0;else e=m;else{c[p+(m<<2)>>2]=j;e=m+1|0}m=e;n=n+1|0}b:do if(m){c:do if(!(c[e+116>>2]&1)){f=p;e=p+(m<<2)|0;while(1){e=e+-4|0;if(f>>>0>=e>>>0){g=0;break c}n=c[f>>2]|0;c[f>>2]=c[e>>2];c[e>>2]=n;f=f+4|0}}else g=0;while(0);while(1){e=c[s>>2]|0;i=c[e+196>>2]|0;f=c[i+(r<<6)>>2]|0;if((g|0)>=(f|0)){m=0;g=i;break}n=c[p+(g<<2)>>2]|0;c[(c[i+(r<<6)+4>>2]|0)+(g<<2)>>2]=n;c[(c[n+16>>2]|0)+236>>2]=g+o;g=g+1|0}while(1){if((m|0)>=(f|0))break b;l=(c[(c[g+(r<<6)+4>>2]|0)+(m<<2)>>2]|0)+16|0;i=c[(c[l>>2]|0)+188>>2]|0;if(i){k=0;f=i;while(1){g=c[f+(k<<2)>>2]|0;e=c[s>>2]|0;if(!g)break;j=c[g>>2]&3;i=c[(c[(c[((j|0)==2?g:g+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;j=c[(c[(c[((j|0)==3?g:g+48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;if(!(c[e+116>>2]&1))if((i|0)<(j|0))t=36;else e=k;else if((i|0)>(j|0))t=36;else e=k;if((t|0)==36){t=0;if(Lh(d,g)|0){t=37;break a}hh(g);Nh(d,g);e=k+-1|0;f=c[(c[l>>2]|0)+188>>2]|0}k=e+1|0}f=c[e+196>>2]|0;g=f;f=c[f+(r<<6)>>2]|0}m=m+1|0}}while(0);a[(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(r<<6)+49>>0]=0;h=p;g=p;f=p}r=r+1|0;q=g;i=f}if((t|0)==37)ma(78762,78628,1561,78801);if(h|0)_I(q)}return}function Kh(a){a=a|0;var d=0,e=0;e=a+16|0;a=c[e>>2]|0;a:do if(c[a+268>>2]|0){d=b[a+236>>1]|0;while(1){if((d|0)>(b[a+238>>1]|0))break a;c[(c[a+268>>2]|0)+(d<<2)>>2]=c[c[(c[a+196>>2]|0)+(d<<6)+4>>2]>>2];d=d+1|0;a=c[e>>2]|0}}while(0);return}function Lh(a,b){a=a|0;b=b|0;if((c[(c[b+16>>2]|0)+156>>2]|0)!=0?(Oh(a,c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)|0)!=0:0)a=(Oh(a,c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0)!=0&1;else a=0;return a|0}function Mh(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0;l=d+16|0;g=c[l>>2]|0;a[g+157>>0]=1;a:do if((c[g+192>>2]|0)>0){h=0;j=0;while(1){i=c[(c[g+188>>2]|0)+(j<<2)>>2]|0;if(!i)break a;if((Lh(b,i)|0)!=0?(k=c[((c[i>>2]&3|0)==2?i:i+-48|0)+40>>2]|0,(a[(c[k+16>>2]|0)+157>>0]|0)==0):0)h=(Mh(b,k,e+(h<<2)|0,f)|0)+h|0;j=j+1|0;g=c[l>>2]|0}}else h=0;while(0);if((c[g+232>>2]|0)==(f|0)){c[e+(h<<2)>>2]=d;return h+1|0}else ma(78814,78628,1490,78830);return 0}function Nh(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;i=c[d>>2]&3;j=c[((i|0)==2?d:d+-48|0)+40>>2]|0;f=c[(c[j+16>>2]|0)+188>>2]|0;a:do if(!f){e=d+48|0;m=15}else{l=d+48|0;g=((i|0)==3?d:l)+40|0;e=0;while(1){h=c[f+(e<<2)>>2]|0;if(!h){e=l;m=15;break a}if((c[((c[h>>2]&3|0)==2?h:h+-48|0)+40>>2]|0)==(c[g>>2]|0))break;else e=e+1|0}ih(d,h);e=(c[d+16>>2]|0)+172|0;if(!(c[e>>2]|0))c[e>>2]=h;e=c[h+16>>2]|0;if((a[e+112>>0]|0)==4?(k=e+116|0,(c[k>>2]|0)==0):0)c[k>>2]=d;e=c[(c[((c[d>>2]&3|0)==3?d:l)+40>>2]|0)+16>>2]|0;f=c[e+204>>2]|0;if(!f)e=ww((c[e+208>>2]<<2)+8|0)|0;else e=yw(f,(c[e+208>>2]<<2)+8|0)|0;c[(c[(c[((c[d>>2]&3|0)==3?d:l)+40>>2]|0)+16>>2]|0)+204>>2]=e;i=c[(c[((c[d>>2]&3|0)==3?d:l)+40>>2]|0)+16>>2]|0;j=c[i+204>>2]|0;i=i+208|0;k=c[i>>2]|0;c[i>>2]=k+1;c[j+(k<<2)>>2]=d;d=c[(c[((c[d>>2]&3|0)==3?d:l)+40>>2]|0)+16>>2]|0;c[(c[d+204>>2]|0)+(c[d+208>>2]<<2)>>2]=0}while(0);if((m|0)==15){m=$g(j,c[((i|0)==3?d:e)+40>>2]|0,d)|0;l=c[d+16>>2]|0;d=c[m+16>>2]|0;a[d+112>>0]=(a[l+112>>0]|0)==4?4:3;c[d+96>>2]=c[l+96>>2];gh(b,m)}return}function Oh(a,b){a=a|0;b=b|0;var c=0;c=Fh(a,b)|0;return Gh(a,b)|0|c|0}function Ph(a,b){a=a|0;b=b|0;var d=0;d=vw(12)|0;c[d>>2]=a;c[d+4>>2]=b;c[d+8>>2]=vw(O(b,a)|0)|0;return d|0}function Qh(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0;o=d+16|0;l=c[o>>2]|0;k=c[(c[(c[b+16>>2]|0)+196>>2]|0)+(c[l+232>>2]<<6)+56>>2]|0;a[l+157>>0]=1;a[l+158>>0]=1;l=(c[(c[(Vf(b)|0)+16>>2]|0)+180>>2]|0)>0;e=c[o>>2]|0;f=c[e+188>>2]|0;a:do if(f){m=k+4|0;n=k+8|0;d=0;b:while(1){j=c[f+(d<<2)>>2]|0;if(!j){p=e;break a}if(l){if((Bo(b,c[((c[j>>2]&3|0)==3?j:j+48|0)+40>>2]|0)|0)!=0?(Bo(b,c[((c[j>>2]&3|0)==2?j:j+-48|0)+40>>2]|0)|0)!=0:0)q=7}else q=7;do if((q|0)==7){q=0;h=j+16|0;if(c[(c[h>>2]|0)+156>>2]|0){e=c[j>>2]&3;g=j+-48|0;r=c[(c[((e|0)==2?j:g)+40>>2]|0)+16>>2]|0;i=c[r+284>>2]|0;f=(i|0)<(c[k>>2]|0);if((a[r+158>>0]|0)==1){if(!f){q=10;break b}e=c[(c[(c[((e|0)==3?j:j+48|0)+40>>2]|0)+16>>2]|0)+284>>2]|0;f=c[m>>2]|0;if((e|0)>=(f|0)){q=12;break b}a[(c[n>>2]|0)+((O(f,i)|0)+e)>>0]=1;hh(j);d=d+-1|0;if((a[(c[h>>2]|0)+112>>0]|0)==4)break;Nh(b,j);break}else{if(!f){q=16;break b}e=c[(c[(c[((e|0)==3?j:j+48|0)+40>>2]|0)+16>>2]|0)+284>>2]|0;f=c[m>>2]|0;if((e|0)>=(f|0)){q=18;break b}a[(c[n>>2]|0)+((O(f,e)|0)+i)>>0]=1;e=c[((c[j>>2]&3|0)==2?j:g)+40>>2]|0;if(a[(c[e+16>>2]|0)+157>>0]|0)break;Qh(b,e);break}}}while(0);f=c[o>>2]|0;d=d+1|0;e=f;f=c[f+188>>2]|0}if((q|0)==10)ma(78840,78628,1251,78872);else if((q|0)==12)ma(78884,78628,1252,78872);else if((q|0)==16)ma(78840,78628,1260,78872);else if((q|0)==18)ma(78884,78628,1261,78872)}else p=e;while(0);a[p+158>>0]=0;return}function Rh(a,b){a=a|0;b=b|0;var c=0;c=co(a)|0;while(1){if(!c)break;Th(a,c,b);c=eo(a,c)|0}return}function Sh(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;g=l;l=l+16|0;f=g;d=co(b)|0;while(1){if(!d)break;e=FA(d,c[42205]|0,0)|0;a:do if(e|0){switch(a[e>>0]|0){case 0:break a;case 111:{if(!(xJ(e,78916)|0)){Th(b,d,1);break a}break}case 105:{if(!(xJ(e,83705)|0)){Th(b,d,0);break a}break}default:{}}h=Dn(d)|0;c[f>>2]=e;c[f+4>>2]=h;_l(1,78951,f)|0}while(0);d=eo(b,d)|0}l=g;return}function Th(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;j=c[41926]|0;h=d+16|0;f=c[h>>2]|0;a:do if(!(c[f+212>>2]|0)){i=(e|0)!=0;b:do if(i){g=0;d=0;e=f;while(1){f=c[(c[e+180>>2]|0)+(g<<2)>>2]|0;if(!f)break b;if(!(Uh(f)|0)){c[j+(d<<2)>>2]=f;d=d+1|0;e=c[h>>2]|0}g=g+1|0}}else{g=0;d=0;e=f;while(1){f=c[(c[e+172>>2]|0)+(g<<2)>>2]|0;if(!f)break b;if(!(Uh(f)|0)){c[j+(d<<2)>>2]=f;d=d+1|0;e=c[h>>2]|0}g=g+1|0}}while(0);if((d|0)>=2){c[j+(d<<2)>>2]=0;rL(j,d,4,13);h=i?2:3;g=i?-1:1;f=1;while(1){d=c[j+(f<<2)>>2]|0;if(!d)break a;e=c[j+(f+-1<<2)>>2]|0;e=c[((c[e>>2]&3|0)==(h|0)?e:e+(g*48|0)|0)+40>>2]|0;d=c[((c[d>>2]&3|0)==(h|0)?d:d+(g*48|0)|0)+40>>2]|0;if(Ug(e,d)|0)break a;i=$g(e,d,0)|0;a[(c[i+16>>2]|0)+112>>0]=4;gh(b,i);f=f+1|0}}}while(0);return}function Uh(a){a=a|0;var b=0;while(1){b=c[(c[a+16>>2]|0)+116>>2]|0;if(!b)break;else a=b}b=c[a>>2]&3;return (c[(c[(c[((b|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0)!=(c[(c[(c[((b|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0)|0}function Vh(a,b){a=a|0;b=b|0;return ((c[c[a>>2]>>2]|0)>>>4)-((c[c[b>>2]>>2]|0)>>>4)|0}function Wh(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0;f=c[a+16>>2]|0;g=f+220|0;h=c[g>>2]|0;if((h|0)>=2){i=f+216|0;a=0;e=0;while(1){if((e|0)>=(h|0))break;d=c[(c[i>>2]|0)+(e<<2)>>2]|0;if(a|0)c[(c[a+16>>2]|0)+164>>2]=d;j=c[d+16>>2]|0;c[j+168>>2]=a;a=d;d=j;while(1){d=c[d+164>>2]|0;if(!d)break;a=d;d=c[d+16>>2]|0}e=e+1|0}c[g>>2]=1;c[f+192>>2]=c[c[f+216>>2]>>2];b[f+236>>1]=c[41928];b[f+238>>1]=c[41929]}return}function Xh(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0;i=c[41927]|0;j=i+16|0;f=c[j>>2]|0;g=0;h=b[f+236>>1]|0;while(1){if((h|0)>=(b[f+238>>1]|0))break;d=c[f+196>>2]|0;if(!(a[d+(h<<6)+49>>0]|0)){e=oi(i,h)|0;d=c[j>>2]|0;f=c[d+196>>2]|0;c[f+(h<<6)+52>>2]=e;a[f+(h<<6)+49>>0]=1}else{e=c[d+(h<<6)+52>>2]|0;d=f}g=e+g|0;h=h+1|0;f=d}return g|0}function Yh(a){a=a|0;var d=0,e=0,f=0,g=0,i=0,j=0;a=c[a+16>>2]|0;g=b[a+238>>1]|0;i=a+196|0;a=b[a+236>>1]|0;while(1){if((a|0)>(g|0))break;f=c[i>>2]|0;e=c[f+(a<<6)>>2]|0;f=f+(a<<6)+4|0;d=0;while(1){if((d|0)>=(e|0))break;j=c[(c[(c[f>>2]|0)+(d<<2)>>2]|0)+16>>2]|0;h[j+16>>3]=+(c[j+236>>2]|0);d=d+1|0}a=a+1|0}return}function Zh(d,e){d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0;r=l;l=l+16|0;m=r;n=d+16|0;o=zA(c[(c[n>>2]|0)+232>>2]|0)|0;j=c[n>>2]|0;f=j+192|0;g=f;while(1){g=c[g>>2]|0;if(!g)break;g=c[g+16>>2]|0;a[g+157>>0]=0;g=g+164|0}h=b[j+238>>1]|0;i=j+196|0;g=b[j+236>>1]|0;while(1){if((g|0)>(h|0))break;c[(c[i>>2]|0)+(g<<6)>>2]=0;g=g+1|0}i=(e|0)==0;while(1){g=c[f>>2]|0;if(!g)break;h=g+16|0;f=c[h>>2]|0;if((c[c[(i?f+172|0:f+180|0)>>2]>>2]|0)==0?(k=f+157|0,(a[k>>0]|0)==0):0){a[k>>0]=1;BA(o,g);while(1){f=CA(o)|0;if(!f)break;if((a[(c[f+16>>2]|0)+159>>0]|0)==7){Xk(d,f,e,o);continue}else{mi(d,f);ni(o,f,e);continue}}f=c[h>>2]|0}f=f+164|0}if(CA(o)|0)_l(1,79159,m)|0;f=c[n>>2]|0;j=b[f+236>>1]|0;while(1){if((j|0)>(b[f+238>>1]|0))break;a[(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(j<<6)+49>>0]=0;if((c[f+116>>2]&1|0)!=0?(p=c[f+196>>2]|0,q=c[p+(j<<6)>>2]|0,(q|0)>0):0){g=c[p+(j<<6)+4>>2]|0;h=q+-1|0;i=(h|0)/2|0;f=0;while(1){if((f|0)>(i|0))break;gi(c[g+(f<<2)>>2]|0,c[g+(h-f<<2)>>2]|0);f=f+1|0}f=c[n>>2]|0}j=j+1|0}if((Vf(d)|0)==(d|0)?(Xh(0)|0)>0:0)ai(d,0);AA(o);l=r;return}function _h(d){d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;n=d+16|0;d=c[n>>2]|0;f=b[d+236>>1]|0;e=b[d+238>>1]|0;l=e<<16>>16;m=d+196|0;g=f;while(1){if((g|0)>(l|0))break;k=c[m>>2]|0;j=c[k+(g<<6)>>2]|0;k=k+(g<<6)+4|0;i=0;while(1){if((i|0)>=(j|0))break;o=c[(c[(c[k>>2]|0)+(i<<2)>>2]|0)+16>>2]|0;c[o+236>>2]=~~+h[o+16>>3];i=i+1|0}g=g+1|0}while(1){if((f|0)>(e<<16>>16|0))break;a[(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(f<<6)+49>>0]=0;o=c[d+196>>2]|0;rL(c[o+(f<<6)+4>>2]|0,c[o+(f<<6)>>2]|0,4,14);o=c[n>>2]|0;f=f+1|0;e=b[o+238>>1]|0;d=o}return}function $h(a,d){a=a|0;d=d|0;var e=0,f=0,g=0;g=((d|0)%4|0|0)<2&1;e=c[a+16>>2]|0;if(!(d&1)){d=b[e+236>>1]|0;f=1;e=b[e+238>>1]|0;d=(d<<16>>16<=(b[(c[(c[41927]|0)+16>>2]|0)+236>>1]|0)&1)+(d<<16>>16)|0}else{d=b[e+238>>1]|0;f=-1;e=b[e+236>>1]|0;d=((d<<16>>16>=(b[(c[(c[41927]|0)+16>>2]|0)+238>>1]|0))<<31>>31)+(d<<16>>16)|0}e=f+e|0;while(1){if((d|0)==(e|0))break;ji(a,d,g,(ii(a,d,d-f|0)|0)&255);d=d+f|0}ai(a,g^1);return}function ai(d,e){d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;k=d+16|0;g=c[k>>2]|0;i=b[g+236>>1]|0;j=b[g+238>>1]|0;h=g+196|0;f=i<<16>>16;while(1){if((f|0)>(j|0)){h=i;break}a[(c[h>>2]|0)+(f<<6)+48>>0]=1;f=f+1|0}while(1){f=0;h=h<<16>>16;while(1){if((h|0)>(b[g+238>>1]|0))break;if(a[(c[g+196>>2]|0)+(h<<6)+48>>0]|0){f=(hi(d,h,e)|0)+f|0;g=c[k>>2]|0}h=h+1|0}if((f|0)<=0)break;h=b[g+236>>1]|0}return}function bi(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0;o=d+16|0;e=c[o>>2]|0;n=b[e+238>>1]|0;a:while(1){if((n|0)<(b[e+236>>1]|0)){e=16;break}f=c[e+196>>2]|0;a[f+(n<<6)+48>>0]=0;p=(n|0)>0;q=n+1|0;g=0;b:while(1){l=(c[f+(n<<6)>>2]|0)+-1|0;m=f+(n<<6)+4|0;k=f+(q<<6)|0;while(1){if((g|0)>=(l|0))break b;j=c[m>>2]|0;i=c[j+(g<<2)>>2]|0;g=g+1|0;j=c[j+(g<<2)>>2]|0;if((c[(c[i+16>>2]|0)+236>>2]|0)>=(c[(c[j+16>>2]|0)+236>>2]|0)){e=7;break a}if(ci(d,i,j)|0)continue;if(p){f=di(i,j)|0;h=di(j,i)|0}else{f=0;h=0}if((c[k>>2]|0)>0){f=(ei(i,j)|0)+f|0;h=(ei(j,i)|0)+h|0}if((h|0)<=(f|0))break}fi(d,n,i,j);e=c[o>>2]|0;f=c[e+196>>2]|0}n=n+-1|0}if((e|0)==7)ma(79110,78628,721,79136);else if((e|0)==16)return}function ci(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;j=c[d+16>>2]|0;i=c[j+212>>2]|0;f=c[e+16>>2]|0;g=c[f+212>>2]|0;h=(i|0)!=(g|0);do if(!(a[173893]|0))if((g|0)==0|((i|0)==0|h^1))k=9;else{if((a[j+159>>0]|0)==7?(a[j+156>>0]|0)==1:0){b=0;break}if((a[f+159>>0]|0)==7?(a[f+156>>0]|0)==1:0){b=0;break}b=1}else if(h)b=1;else k=9;while(0);if((k|0)==9){f=c[b+16>>2]|0;b=c[(c[f+196>>2]|0)+(c[j+232>>2]<<6)+56>>2]|0;if(!b)b=0;else{j=(c[f+116>>2]&1|0)==0;k=O(c[b+4>>2]|0,c[(c[(j?d:e)+16>>2]|0)+284>>2]|0)|0;b=a[(c[b+8>>2]|0)+((c[(c[(j?e:d)+16>>2]|0)+284>>2]|0)+k)>>0]|0}}return b|0}function di(a,d){a=a|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0;l=a+16|0;j=c[(c[d+16>>2]|0)+172>>2]|0;d=0;while(1){a=c[j>>2]|0;if(!a)break;i=c[a+16>>2]|0;k=b[i+154>>1]|0;g=c[(c[(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;i=i+16|0;f=c[(c[l>>2]|0)+172>>2]|0;a=d;while(1){d=c[f>>2]|0;if(!d)break;e=(c[(c[(c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)-g|0;if((e|0)<=0){if((e|0)==0?(m=c[d+16>>2]|0,+h[m+16>>3]>+h[i>>3]):0){d=m;n=9}}else{d=c[d+16>>2]|0;n=9}if((n|0)==9){n=0;a=(O(b[d+154>>1]|0,k)|0)+a|0}f=f+4|0}j=j+4|0;d=a}return d|0}function ei(a,d){a=a|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0;l=a+16|0;j=c[(c[d+16>>2]|0)+180>>2]|0;d=0;while(1){a=c[j>>2]|0;if(!a)break;i=c[a+16>>2]|0;k=b[i+154>>1]|0;g=c[(c[(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;i=i+56|0;f=c[(c[l>>2]|0)+180>>2]|0;a=d;while(1){d=c[f>>2]|0;if(!d)break;e=(c[(c[(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)-g|0;if((e|0)<=0){if((e|0)==0?(m=c[d+16>>2]|0,+h[m+56>>3]>+h[i>>3]):0){d=m;n=9}}else{d=c[d+16>>2]|0;n=9}if((n|0)==9){n=0;a=(O(b[d+154>>1]|0,k)|0)+a|0}f=f+4|0}j=j+4|0;d=a}return d|0}function fi(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;i=a[(c[e+16>>2]|0)+156>>0]|0;if(i<<24>>24!=(a[(c[f+16>>2]|0)+156>>0]|0)){j=b+16|0;l=c[(c[j>>2]|0)+196>>2]|0;k=c[l+(d<<6)>>2]|0;l=l+(d<<6)+4|0;b=0;g=0;h=0;while(1){if((b|0)>=(k|0))break;o=(a[(c[(c[(c[l>>2]|0)+(b<<2)>>2]|0)+16>>2]|0)+156>>0]|0)==0;b=b+1|0;g=g+(o&1)|0;h=h+((o^1)&1)|0}i=i<<24>>24==0;h=(g|0)<(h|0)?(i?e:f):i?f:e;i=0;b=0;while(1){if((b|0)>=(k|0))break;i=(c[(c[l>>2]|0)+(b<<2)>>2]|0)==(h|0)?b:i;b=b+1|0}o=(a[(c[h+16>>2]|0)+156>>0]|0)==0&1;n=0;g=i;while(1){b=g+-1|0;if((g|0)<=0){m=0;b=i;break}if((a[(c[(c[(c[l>>2]|0)+(b<<2)>>2]|0)+16>>2]|0)+156>>0]|0)!=(o|0)){m=0;b=i;break}n=n+1|0;g=b}while(1){b=b+1|0;if((b|0)>=(k|0))break;if((a[(c[(c[(c[l>>2]|0)+(b<<2)>>2]|0)+16>>2]|0)+156>>0]|0)!=(o|0))break;m=m+1|0}gi(e,f);j=c[(c[j>>2]|0)+196>>2]|0;k=c[j+(d<<6)>>2]|0;j=j+(d<<6)+4|0;b=0;while(1){if((b|0)>=(k|0)){h=0;g=i;break}i=(c[(c[j>>2]|0)+(b<<2)>>2]|0)==(h|0)?b:i;b=b+1|0}while(1){b=g+-1|0;if((g|0)<=0){g=0;b=i;break}if((a[(c[(c[(c[j>>2]|0)+(b<<2)>>2]|0)+16>>2]|0)+156>>0]|0)!=(o|0)){g=0;b=i;break}h=h+1|0;g=b}while(1){b=b+1|0;if((b|0)>=(k|0))break;if((a[(c[(c[(c[j>>2]|0)+(b<<2)>>2]|0)+16>>2]|0)+156>>0]|0)!=(o|0))break;g=g+1|0}d=h-g|0;o=n-m|0;if((((d|0)>-1?d:0-d|0)|0)>(((o|0)>-1?o:0-o|0)|0))gi(e,f)}return}function gi(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;f=c[a+16>>2]|0;e=c[f+232>>2]|0;f=f+236|0;d=c[f>>2]|0;g=b+16|0;h=c[(c[g>>2]|0)+236>>2]|0;c[f>>2]=h;f=(c[41927]|0)+16|0;c[(c[(c[(c[f>>2]|0)+196>>2]|0)+(e<<6)+4>>2]|0)+(h<<2)>>2]=a;c[(c[g>>2]|0)+236>>2]=d;c[(c[(c[(c[f>>2]|0)+196>>2]|0)+(e<<6)+4>>2]|0)+(d<<2)>>2]=b;return}function hi(d,e,f){d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;q=d+16|0;n=c[(c[q>>2]|0)+196>>2]|0;a[n+(e<<6)+48>>0]=0;r=(e|0)>0;s=e+1|0;o=(f|0)!=0;p=e+-1|0;g=0;i=0;f=n;a:while(1){l=(c[f+(e<<6)>>2]|0)+-1|0;m=f+(e<<6)+4|0;h=f+(s<<6)|0;n=g;while(1){if((n|0)>=(l|0)){f=17;break a}k=c[m>>2]|0;j=c[k+(n<<2)>>2]|0;n=n+1|0;k=c[k+(n<<2)>>2]|0;if((c[(c[j+16>>2]|0)+236>>2]|0)>=(c[(c[k+16>>2]|0)+236>>2]|0)){f=5;break a}if(ci(d,j,k)|0)continue;if(r){f=di(j,k)|0;g=di(k,j)|0}else{f=0;g=0}if((c[h>>2]|0)>0){f=(ei(j,k)|0)+f|0;g=(ei(k,j)|0)+g|0}if((f|0)>(g|0))break;if((f|0)==(g|0)&(o&(f|0)>0)){f=g;break}}gi(j,k);i=f-g+i|0;g=c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0;a[g+(e<<6)+49>>0]=0;h=c[q>>2]|0;f=c[h+196>>2]|0;a[f+(e<<6)+48>>0]=1;if((b[h+236>>1]|0)<(e|0)){a[g+(p<<6)+49>>0]=0;a[f+(p<<6)+48>>0]=1}if((b[h+238>>1]|0)<=(e|0)){g=n;continue}a[g+(s<<6)+49>>0]=0;a[f+(s<<6)+48>>0]=1;g=n}if((f|0)==5)ma(79110,78628,770,79144);else if((f|0)==17)return i|0;return 0}function ii(a,e,f){a=a|0;e=e|0;f=f|0;var g=0,i=0.0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0;p=c[41925]|0;q=a+16|0;a=c[(c[q>>2]|0)+196>>2]|0;r=c[a+(e<<6)+4>>2]|0;n=(f|0)>(e|0);o=p+4|0;m=0;while(1){f=c[a+(e<<6)>>2]|0;if((m|0)>=(f|0)){a=0;j=0;break}l=(c[r+(m<<2)>>2]|0)+16|0;a=c[l>>2]|0;a:do if(n){k=c[a+180>>2]|0;a=0;j=0;while(1){f=c[k+(j<<2)>>2]|0;if(!f)break a;g=c[f+16>>2]|0;if((b[g+154>>1]|0)>0){c[p+(a<<2)>>2]=c[(c[(c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]<<8|d[g+88>>0];a=a+1|0}j=j+1|0}}else{k=c[a+172>>2]|0;j=0;a=0;while(1){f=c[k+(j<<2)>>2]|0;if(!f)break a;g=c[f+16>>2]|0;if((b[g+154>>1]|0)>0){c[p+(a<<2)>>2]=c[(c[(c[((c[f>>2]&3|0)==3?f:f+48|0)+40>>2]|0)+16>>2]|0)+236>>2]<<8|d[g+48>>0];a=a+1|0}j=j+1|0}}while(0);b:do switch(a|0){case 0:{i=-1.0;break}case 1:{i=+(c[p>>2]|0);break}case 2:{i=+(((c[o>>2]|0)+(c[p>>2]|0)|0)/2|0|0);break}default:{rL(p,a,4,12);f=(a|0)/2|0;if(a&1|0){i=+(c[p+(f<<2)>>2]|0);break b}j=c[p+(f<<2)>>2]|0;g=(c[p+(a+-1<<2)>>2]|0)-j|0;a=c[p+(f+-1<<2)>>2]|0;f=a-(c[p>>2]|0)|0;if((f|0)==(g|0)){i=+((a+j|0)/2|0|0);break b}else{i=+(((O(f,j)|0)+(O(a,g)|0)|0)/(f+g|0)|0|0);break b}}}while(0);h[(c[l>>2]|0)+240>>3]=i;m=m+1|0;a=c[(c[q>>2]|0)+196>>2]|0}while(1){if((j|0)>=(f|0))break;g=c[r+(j<<2)>>2]|0;p=c[g+16>>2]|0;if((c[p+184>>2]|0)==0?(c[p+176>>2]|0)==0:0){a=(ki(g)|0|a&255)&255;f=c[(c[(c[q>>2]|0)+196>>2]|0)+(e<<6)>>2]|0}j=j+1|0}return a|0}function ji(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,l=0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0;o=c[(c[b+16>>2]|0)+196>>2]|0;s=c[o+(d<<6)+4>>2]|0;o=c[o+(d<<6)>>2]|0;q=(e|0)!=0;p=(f|e|0)==0;f=0;e=o;o=s+(o<<2)|0;while(1){n=e+-1|0;if((e|0)>0)e=s;else break;a:while(1){b:while(1){if(e>>>0>=o>>>0)break a;while(1){if(e>>>0>=o>>>0)break a;l=c[e>>2]|0;m=+h[(c[l+16>>2]|0)+240>>3];if(!(m<0.0))break;e=e+4|0}k=0;while(1){g=k<<24>>24==0;while(1){e=e+4|0;if(e>>>0>=o>>>0)break a;if(g){g=11;break}i=c[e>>2]|0;if(!(c[(c[i+16>>2]|0)+212>>2]|0)){g=13;break}}if((g|0)==11){i=c[e>>2]|0;j=i}else if((g|0)==13)j=i;if(ci(b,l,j)|0)continue b;g=c[i+16>>2]|0;if(+h[g+240>>3]>=0.0)break;k=(c[g+212>>2]|0)==0?k:1}g=~~m;k=~~+h[(c[i+16>>2]|0)+240>>3];if((g|0)>(k|0)|q&(g|0)==(k|0))break}gi(l,j);f=f+1|0}e=n;o=p?o+-4|0:o}if(f|0?(r=c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0,a[r+(d<<6)+49>>0]=0,(d|0)>0):0)a[r+(d+-1<<6)+49>>0]=0;return}function ki(a){a=a|0;var b=0.0,d=0,e=0,f=0,g=0;g=c[a+16>>2]|0;if((c[g+200>>2]|0)>0){f=c[g+196>>2]|0;a=c[f>>2]|0;a=c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0;d=1;while(1){e=c[f+(d<<2)>>2]|0;if(!e)break;e=c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0;a=(c[(c[e+16>>2]|0)+236>>2]|0)>(c[(c[a+16>>2]|0)+236>>2]|0)?e:a;d=d+1|0}b=+h[(c[a+16>>2]|0)+240>>3];if(!(b>=0.0))a=1;else{h[g+240>>3]=b+1.0;a=0}}else if((c[g+192>>2]|0)>0){e=c[g+188>>2]|0;d=c[e>>2]|0;a=1;d=c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0;while(1){f=c[e+(a<<2)>>2]|0;if(!f)break;f=c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0;a=a+1|0;d=(c[(c[f+16>>2]|0)+236>>2]|0)<(c[(c[d+16>>2]|0)+236>>2]|0)?f:d}b=+h[(c[d+16>>2]|0)+240>>3];if(b>0.0){h[g+240>>3]=b+-1.0;a=0}else a=1}else a=1;return a|0}function li(a,b){a=a|0;b=b|0;return (c[(c[(c[a>>2]|0)+16>>2]|0)+236>>2]|0)-(c[(c[(c[b>>2]|0)+16>>2]|0)+236>>2]|0)|0}function mi(a,d){a=a|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;p=l;l=l+96|0;o=p+64|0;n=p+48|0;h=p+24|0;f=p;j=d+16|0;k=c[(c[j>>2]|0)+232>>2]|0;m=a+16|0;e=c[(c[m>>2]|0)+196>>2]|0;i=c[e+(k<<6)>>2]|0;do if((c[e+(k<<6)+8>>2]|0)>=1){c[(c[e+(k<<6)+4>>2]|0)+(i<<2)>>2]=d;c[(c[j>>2]|0)+236>>2]=i;a=c[m>>2]|0;f=c[a+196>>2]|0;e=f+(k<<6)|0;g=c[e>>2]|0;c[e>>2]=g+1;if((g|0)>=(c[f+(k<<6)+8>>2]|0))ma(79224,78628,1346,79260);g=c[(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(k<<6)+8>>2]|0;if((i|0)>(g|0)){m=Dn(d)|0;n=c[(c[j>>2]|0)+236>>2]|0;o=c[(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(k<<6)+8>>2]|0;c[h>>2]=1359;c[h+4>>2]=m;c[h+8>>2]=n;c[h+12>>2]=k;c[h+16>>2]=o;_l(1,79276,h)|0;break}e=b[a+236>>1]|0;a=b[a+238>>1]|0;if((k|0)<(e|0)|(k|0)>(a<<16>>16|0)){c[n>>2]=1364;c[n+4>>2]=k;c[n+8>>2]=e;c[n+12>>2]=a<<16>>16;_l(1,79349,n)|0;break}if(((c[f+(k<<6)+4>>2]|0)+(i<<2)|0)>>>0>((c[f+(k<<6)+12>>2]|0)+(g<<2)|0)>>>0){i=Dn(d)|0;n=c[(c[m>>2]|0)+196>>2]|0;m=(c[n+(k<<6)+4>>2]|0)+(c[(c[j>>2]|0)+236>>2]<<2)|0;n=(c[n+(k<<6)+12>>2]|0)+(c[(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(k<<6)+8>>2]<<2)|0;c[o>>2]=1370;c[o+4>>2]=k;c[o+8>>2]=i;c[o+12>>2]=m;c[o+16>>2]=k;c[o+20>>2]=k;c[o+24>>2]=n;_l(1,79410,o)|0}}else{n=Dn(a)|0;o=Dn(d)|0;c[f>>2]=1339;c[f+4>>2]=n;c[f+8>>2]=o;c[f+12>>2]=k;c[f+16>>2]=i;_l(1,79169,f)|0}while(0);l=p;return}function ni(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;h=d+16|0;a:do if(!e){g=0;while(1){d=c[h>>2]|0;if((g|0)>=(c[d+184>>2]|0))break a;d=c[(c[d+180>>2]|0)+(g<<2)>>2]|0;e=d+-48|0;f=(c[(c[((c[d>>2]&3|0)==2?d:e)+40>>2]|0)+16>>2]|0)+157|0;if(!(a[f>>0]|0)){a[f>>0]=1;BA(b,c[((c[d>>2]&3|0)==2?d:e)+40>>2]|0)}g=g+1|0}}else{g=0;while(1){d=c[h>>2]|0;if((g|0)>=(c[d+176>>2]|0))break a;d=c[(c[d+172>>2]|0)+(g<<2)>>2]|0;e=d+48|0;f=(c[(c[((c[d>>2]&3|0)==3?d:e)+40>>2]|0)+16>>2]|0)+157|0;if(!(a[f>>0]|0)){a[f>>0]=1;BA(b,c[((c[d>>2]&3|0)==3?d:e)+40>>2]|0)}g=g+1|0}}while(0);return}function oi(d,e){d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0;v=l;l=l+16|0;u=v;g=d+16|0;f=c[(c[g>>2]|0)+196>>2]|0;s=c[f+(e<<6)+4>>2]|0;t=e+1|0;d=c[(c[(c[(c[41927]|0)+16>>2]|0)+196>>2]|0)+(t<<6)>>2]|0;if((c[41931]|0)>(d|0))q=c[41932]|0;else{d=d+1|0;c[41931]=d;f=c[41932]|0;if(!f)d=ww(d<<2)|0;else d=yw(f,d<<2)|0;c[41932]=d;f=c[(c[g>>2]|0)+196>>2]|0;q=d}r=f+(t<<6)|0;d=0;while(1){if((d|0)>=(c[r>>2]|0))break;c[q+(d<<2)>>2]=0;d=d+1|0}p=f+(e<<6)|0;o=0;h=0;d=0;j=q;while(1){k=c[p>>2]|0;if((o|0)>=(k|0))break;n=c[(c[(c[s+(o<<2)>>2]|0)+16>>2]|0)+180>>2]|0;a:do if((h|0)>0){m=0;while(1){g=c[n+(m<<2)>>2]|0;if(!g)break a;k=g+16|0;i=c[(c[(c[((c[g>>2]&3|0)==2?g:g+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;while(1){g=i+1|0;if((i|0)>=(h|0))break;i=g;d=(O(c[j+(g<<2)>>2]|0,b[(c[k>>2]|0)+154>>1]|0)|0)+d|0}m=m+1|0}}while(0);i=0;while(1){g=c[n+(i<<2)>>2]|0;if(!g)break;j=c[(c[(c[((c[g>>2]&3|0)==2?g:g+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;m=q+(j<<2)|0;c[m>>2]=(c[m>>2]|0)+(b[(c[g+16>>2]|0)+154>>1]|0);h=(j|0)>(h|0)?j:h;i=i+1|0;j=q}o=o+1|0}i=f+(e<<6)+4|0;h=0;while(1){if((h|0)>=(k|0))break;g=c[(c[(c[i>>2]|0)+(h<<2)>>2]|0)+16>>2]|0;if(a[g+145>>0]|0){e=g+180|0;c[u>>2]=c[e>>2];c[u+4>>2]=c[e+4>>2];d=(pi(u,1)|0)+d|0}h=h+1|0}i=c[r>>2]|0;h=f+(t<<6)+4|0;g=0;while(1){if((g|0)>=(i|0))break;f=c[(c[(c[h>>2]|0)+(g<<2)>>2]|0)+16>>2]|0;if(a[f+145>>0]|0){t=f+172|0;c[u>>2]=c[t>>2];c[u+4>>2]=c[t+4>>2];d=(pi(u,-1)|0)+d|0}g=g+1|0}l=v;return d|0}function pi(a,d){a=a|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0;n=(d|0)<1;l=c[a>>2]|0;d=0;a=0;a:while(1){m=c[l+(d<<2)>>2]|0;if(!m)break;d=d+1|0;if(n){j=m+48|0;k=m+16|0;i=d;while(1){e=c[l+(i<<2)>>2]|0;if(!e)continue a;f=c[e+16>>2]|0;g=c[k>>2]|0;if((+h[f+56>>3]-+h[g+56>>3])*+((c[(c[(c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)-(c[(c[(c[((c[m>>2]&3|0)==3?m:j)+40>>2]|0)+16>>2]|0)+236>>2]|0)|0)<0.0)a=(O(b[f+154>>1]|0,b[g+154>>1]|0)|0)+a|0;i=i+1|0}}else{j=m+-48|0;k=m+16|0;i=d;while(1){e=c[l+(i<<2)>>2]|0;if(!e)continue a;f=c[e+16>>2]|0;g=c[k>>2]|0;if((+h[f+16>>3]-+h[g+16>>3])*+((c[(c[(c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)-(c[(c[(c[((c[m>>2]&3|0)==2?m:j)+40>>2]|0)+16>>2]|0)+236>>2]|0)|0)<0.0)a=(O(b[f+154>>1]|0,b[g+154>>1]|0)|0)+a|0;i=i+1|0}}}return a|0}function qi(a){a=a|0;var b=0.0,d=0.0;c[41930]=8;c[42180]=24;h[20878]=.995;a=Im(a,79532)|0;if(a|0?(b=+sM(a),b>0.0):0){d=b*+(c[41930]|0);c[41930]=~~(d>1.0?d:1.0);b=b*+(c[42180]|0);c[42180]=~~(b>1.0?b:1.0)}return}function ri(a){a=a|0;var d=0,e=0;e=(b[(c[a+16>>2]|0)+238>>1]|0)+2|0;d=vw(e<<2)|0;ti(a,d,e,0)|0;_I(d);return}\nfunction Uq(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;g=(b|0)==2;d=(c[42039]|0)+24|0;while(1){d=c[d>>2]|0;if(!d)break;e=d+4|0;f=c[e>>2]|0;if(!((g?(a[f>>0]|0)==(a[83089]|0):0)?!(xJ(f,83089)|0):0)){h=ym(c[c[42039]>>2]|0,b,f,0)|0;c[e>>2]=h;if(!h)c[e>>2]=ym(c[c[42039]>>2]|0,b,f,174181)|0;c[d>>2]=266;bp(c[42038]|0,f)|0}d=d+12|0}return}function Vq(a){a=a|0;Wq(c[a>>2]|0);c[a+4>>2]=0;c[a>>2]=0;return}function Wq(a){a=a|0;var b=0;while(1){if(!a)break;b=c[a+12>>2]|0;switch(c[a>>2]|0){case 265:{Wq(c[a+4>>2]|0);break}case 266:case 267:{bp(c[42038]|0,c[a+8>>2]|0)|0;break}default:{}}Zn(c[42038]|0,a);a=b}return}function Xq(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;h=l;l=l+1040|0;f=h;g=h+8|0;d=rJ(a)|0;d=d+2+(rJ(b)|0)|0;if(d>>>0<1025)e=g;else e=ZI(d)|0;c[f>>2]=a;c[f+4>>2]=b;pL(e,83126,f)|0;d=$o(c[42038]|0,e)|0;bp(c[42038]|0,a)|0;bp(c[42038]|0,b)|0;if((e|0)!=(g|0))_I(e);l=h;return d|0}function Yq(a,b){a=a|0;b=b|0;return Sq(259,a,b)|0}function Zq(a){a=a|0;return Sq(265,a,0)|0}function _q(a){a=a|0;return Sq(262,a,0)|0}function $q(a){a=a|0;var b=0,d=0;b=(c[42039]|0)+24|0;while(1){b=c[b>>2]|0;if(!b)break;if((c[b>>2]|0)==266?(d=c[b+4>>2]|0,d|0):0)Cm(a,d,c[b+8>>2]|0)|0;b=b+12|0}return}function ar(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;f=d+4|0;a:do if((c[d>>2]|0)==262){d=c[f>>2]|0;f=co(d)|0;while(1){if(!f)break a;br(a,b,io(c[c[42039]>>2]|0,f,0)|0,0,e);f=eo(d,f)|0}}else while(1){f=c[f>>2]|0;if(!f)break a;d=io(c[c[42039]>>2]|0,c[f+4>>2]|0,0)|0;br(a,b,d,c[f+8>>2]|0,e);f=f+12|0}while(0);return}function br(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0;d=an(c[c[42039]>>2]|0,a,d,f,1)|0;if(d|0){g=c[d>>2]&3;f=c[((g|0)==2?d:d+-48|0)+40>>2]|0;a=(f|0)==(a|0)?(c[((g|0)==3?d:d+48|0)+40>>2]|0)!=(f|0):0;cr(d,96242,a?e:b);cr(d,96251,a?b:e);$q(d)}return}function cr(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;if(d|0){e=ym(c[c[42039]>>2]|0,2,b,0)|0;if(!e)e=ym(c[c[42039]>>2]|0,2,b,174181)|0;Cm(a,e,d)|0}return}function dr(a,b,d){a=a|0;b=b|0;d=d|0;c[42007]=b;c[42038]=a;c[41987]=0;a=d|0?d:17656;c[42041]=a;gp(a,b);Bq()|0;a=c[41987]|0;if(!a){Fp();a=c[41987]|0}return a|0}function er(a,b){a=a|0;b=b|0;return dr(0,a,b)|0}function fr(a,b){a=a|0;b=b|0;b=Jr(a,1,b)|0;if(!b)b=999;else{b=c[b+16>>2]|0;c[a+184>>2]=c[b+4>>2];c[a+172>>2]=c[b+12>>2];c[a+176>>2]=c[b>>2];c[a+180>>2]=c[b+16>>2];b=300}return b|0}function gr(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;f=i;No(b,122277,280,1)|0;g=b+16|0;c[(c[g>>2]|0)+144>>2]=a;if((so(b)|0)!=(b|0))c[(c[(so(b)|0)+16>>2]|0)+144>>2]=a;e=Im(b,83342)|0;d=a+172|0;if((e|0)!=0?(c[d>>2]=0,(fr(a,e)|0)==999):0){d=Kr(a,1,e)|0;c[f>>2]=e;c[f+4>>2]=d;_l(1,83869,f)|0;d=-1}else{e=c[d>>2]|0;if(!e)d=-1;else{Fv(1);dw(b,c[c[a+180>>2]>>2]&1);d=c[(c[g>>2]|0)+8>>2]|0;c[(c[(so(b)|0)+16>>2]|0)+8>>2]=d;Ez();d=c[e>>2]|0;if(d|0?(gb[d&127](b),h=c[e+4>>2]|0,h|0):0)c[(c[g>>2]|0)+148>>2]=h;Fv(0);d=0}}l=i;return d|0}function hr(a,b){a=a|0;b=b|0;var d=0,e=0;if(No(b,122277,0,1)|0){d=b+16|0;a=c[d>>2]|0;e=c[a+148>>2]|0;if(e){gb[e&127](b);a=c[d>>2]|0;c[a+148>>2]=0}if(c[a+8>>2]|0)iw(b)}return 0}function ir(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+16|0;j=k+8|0;i=k;d=c[b+76>>2]|0;f=c[b>>2]|0;if((d|0)!=0?(e=c[d>>2]|0,(e|0)!=0):0){gb[e&127](b);g=12}else g=4;do if((g|0)==4)if((c[b+40>>2]|0)==0?(h=b+36|0,(c[h>>2]|0)==0):0){if(a[f+13>>0]|0)jr(b);d=b+32|0;e=c[d>>2]|0;if(!e){c[h>>2]=c[13885];g=12;break}f=aM(e,91556)|0;c[h>>2]=f;if(!f){j=c[(c[b+12>>2]|0)+16>>2]|0;h=c[d>>2]|0;d=yJ(c[(jJ()|0)>>2]|0)|0;c[i>>2]=h;c[i+4>>2]=d;hb[j&31](83132,i);d=1}else g=12}else g=12;while(0);if((g|0)==12)if(!(c[b+152>>2]&1024))d=0;else{hb[c[(c[b+12>>2]|0)+16>>2]&31](83170,j);d=1}l=k;return d|0}function jr(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;h=l;l=l+112|0;e=h;g=h+4|0;d=c[b+24>>2]|0;if(!d)a[g>>0]=0;else{c[e>>2]=d+1;pL(g,83188,e)|0}e=c[b+20>>2]|0;e=e|0?e:83192;d=rJ(e)|0;i=rJ(g)|0;f=b+52|0;i=d+1+i+(rJ(c[f>>2]|0)|0)|0;d=i+11|0;if((c[42042]|0)>>>0<(i+1|0)>>>0){c[42042]=d;d=aJ(c[42043]|0,d)|0;c[42043]=d}else d=c[42043]|0;xK(d,e)|0;IL(c[42043]|0,g)|0;d=c[42043]|0;d=d+(rJ(d)|0)|0;a[d>>0]=46;a[d+1>>0]=0;d=GL(c[f>>2]|0)|0;f=c[42043]|0;while(1){e=HL(d,58)|0;if(!e)break;IL(f,e+1|0)|0;i=c[42043]|0;g=i+(rJ(i)|0)|0;a[g>>0]=46;a[g+1>>0]=0;a[e>>0]=0;f=i}IL(f,d)|0;_I(d);c[b+32>>2]=c[42043];l=h;return}function kr(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;h=l;l=l+16|0;g=h+8|0;f=h;if((b|0)!=0&(d|0)!=0){if(c[a+152>>2]&1024|0){hb[c[(c[a+12>>2]|0)+16>>2]&31](83170,f);Ma(1)}if((lr(a,b,d)|0)==(d|0))e=d;else{f=c[(c[a+12>>2]|0)+16>>2]|0;c[g>>2]=d;hb[f&31](83202,g);Ma(1)}}else e=0;l=h;return e|0}function lr(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;n=o;f=c[(c[b>>2]|0)+104>>2]|0;do if(!f){j=b+40|0;h=c[j>>2]|0;if(!h){e=XL(d,1,e,c[b+36>>2]|0)|0;break}f=b+44|0;i=b+48|0;g=c[i>>2]|0;do if(((c[f>>2]|0)+-1-g|0)>>>0<e>>>0){g=e+4096+g&-4096;c[f>>2]=g;f=aJ(h,g)|0;c[j>>2]=f;if(!f){hb[c[(c[b+12>>2]|0)+16>>2]&31](83227,n);Ma(1)}else{k=f;m=c[i>>2]|0;break}}else{k=h;m=g}while(0);TN(k+m|0,d|0,e|0)|0;n=(c[i>>2]|0)+e|0;c[i>>2]=n;a[(c[j>>2]|0)+n>>0]=0}else e=bb[f&31](b,d,e)|0;while(0);l=o;return e|0}function mr(a,b){a=a|0;b=b|0;var c=0;c=rJ(b)|0;b=(kr(a,b,c)|0)==(c|0);return (b?1:-1)|0}function nr(b,c){b=b|0;c=c|0;var d=0,e=0;d=l;l=l+16|0;e=d;a[e>>0]=c;b=(kr(b,e,1)|0)==1;l=d;return (b?c:-1)|0}function or(b){b=b|0;var d=0;d=c[b+36>>2]|0;if(((d|0)!=0?(a[b+144>>0]|0)==0:0)?(c[(c[b>>2]|0)+104>>2]|0)==0:0)b=PL(d)|0;else b=0;return b|0}function pr(a){a=a|0;var b=0,d=0;b=c[a+76>>2]|0;if(b|0?(d=c[b+4>>2]|0,d|0):0)gb[d&127](a);or(a)|0;return}function qr(a){a=a|0;var b=0,d=0,e=0;e=l;l=l+16|0;d=c[a+76>>2]|0;if(c[a+152>>2]&1024|0){hb[c[(c[a+12>>2]|0)+16>>2]&31](83254,e);Ma(1)}if((d|0)!=0?(b=c[d+8>>2]|0,(b|0)!=0):0)gb[b&127](a);else{or(a)|0;rr(a)}l=e;return}function rr(b){b=b|0;var d=0,e=0,f=0;d=b+32|0;if((c[d>>2]|0?(e=b+36|0,f=c[e>>2]|0,(f|0)!=(c[13885]|0)):0)?(a[b+144>>0]|0)==0:0){if(f|0){LL(f)|0;c[e>>2]=0}c[d>>2]=0}return}function sr(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;i=l;l=l+1056|0;f=i;h=i+24|0;g=i+8|0;c[g>>2]=d;e=LK(h,1024,b,g)|0;if((e|0)>=0){if((e|0)>1023){e=ww(e+1|0)|0;c[g>>2]=d;f=e;e=qL(e,b,g)|0}else f=h;kr(a,f,e)|0;if((f|0)!=(h|0))_I(f)}else{c[f>>2]=yJ(c[(jJ()|0)>>2]|0)|0;_l(1,83271,f)|0}l=i;return}function tr(a,b){a=a|0;b=+b;var d=0,e=0,f=0;d=l;l=l+16|0;e=d;f=ur(e,b)|0;kr(a,f,c[e>>2]|0)|0;l=d;return}function ur(b,d){b=b|0;d=+d;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0;if(!(d<-1.0e15))if(!(d>1.0e15)){d=d*1.0e4;f=~~((d<0.0?-.5:.5)+d);if(!f){f=123205;e=1}else{l=(f|0)<0;k=4;i=0;e=173948;f=l?0-f|0:f;while(1){if(!((f|0)!=0|(k|0)>0))break;g=(f|0)%10|0;j=(f|0)/10|0;h=e+-1|0;if((g|0)==0&i<<24>>24==0)f=0;else{a[h>>0]=g|48;f=1;e=h}if((k|0)==1)if(!(f<<24>>24))f=1;else{e=e+-1|0;a[e>>0]=46;f=1}k=k+-1|0;i=f;f=j}if(l){e=e+-1|0;a[e>>0]=45}f=e;e=173948-e|0}}else{f=83286;e=18}else{f=83285;e=19}c[b>>2]=e;return f|0}function vr(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=l;l=l+16|0;e=d;f=ur(e,+h[b>>3])|0;kr(a,f,c[e>>2]|0)|0;kr(a,87638,1)|0;b=ur(e,+h[b+8>>3])|0;kr(a,b,c[e>>2]|0)|0;l=d;return}function wr(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;g=l;l=l+16|0;f=g;e=0;while(1){h=b+(e<<4)|0;c[f>>2]=c[h>>2];c[f+4>>2]=c[h+4>>2];c[f+8>>2]=c[h+8>>2];c[f+12>>2]=c[h+12>>2];vr(a,f);e=e+1|0;if((e|0)>=(d|0))break;kr(a,87638,1)|0}l=g;return}function xr(a,b){a=a|0;b=b|0;var d=0;d=vw(392)|0;if(d|0){c[d>>2]=19212;c[d+16>>2]=22;c[d+32>>2]=a;c[d+36>>2]=b}return d|0}function yr(a){a=a|0;var b=0,d=0,e=0,f=0;b=vw(392)|0;d=b;e=a;f=d+40|0;do{c[d>>2]=c[e>>2];d=d+4|0;e=e+4|0}while((d|0)<(f|0));f=b+60|0;e=a+60|0;c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];c[f+8>>2]=c[e+8>>2];c[f+12>>2]=c[e+12>>2];c[f+16>>2]=c[e+16>>2];f=b+80|0;e=a+80|0;c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];c[f+8>>2]=c[e+8>>2];c[f+12>>2]=c[e+12>>2];c[f+16>>2]=c[e+16>>2];return b|0}function zr(a){a=a|0;Gr(a);_I(a);return}function Ar(a,b){a=a|0;b=b|0;var d=0,e=0;e=a+160|0;d=c[e>>2]|0;if(d){e=c[42044]|0;if(e){d=c[e+4>>2]|0;if(!d){d=vw(632)|0;c[(c[42044]|0)+4>>2]=d}}}else{d=vw(632)|0;c[e>>2]=d;c[a+164>>2]=d}c[42044]=d;c[d+32>>2]=b;c[d>>2]=a;return}function Br(a,b){a=a|0;b=b|0;var d=0,e=0;e=a+160|0;d=c[e>>2]|0;if(d){e=c[42045]|0;if(e){d=c[e+4>>2]|0;if(!d){d=vw(632)|0;c[(c[42045]|0)+4>>2]=d}}}else{d=vw(632)|0;c[e>>2]=d;c[a+164>>2]=d}c[42045]=d;c[d+52>>2]=b;c[d>>2]=a;return (Jr(a,3,b)|0)!=0|0}function Cr(a){a=a|0;var b=0;b=c[a+160>>2]|0;c[a+164>>2]=b;return b|0}function Dr(a){a=a|0;var b=0,d=0,e=0;a=a+164|0;b=c[a>>2]|0;d=c[b+4>>2]|0;if(d|0?(e=d+52|0,(c[e>>2]|0)==0):0)c[e>>2]=c[b+52>>2];c[a>>2]=d;return d|0}function Er(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=a+8|0;f=b+10|0;if((c[e>>2]|0)>(b|0))a=c[a>>2]|0;else{c[e>>2]=f;f=yw(c[a>>2]|0,f<<2)|0;c[a>>2]=f;a=f}c[a+(b<<2)>>2]=d;return}function Fr(a){a=a|0;var b=0;b=c[a>>2]|0;if(b|0)_I(b);c[a>>2]=0;c[a+8>>2]=0;c[a+4>>2]=0;return}function Gr(a){a=a|0;var b=0,d=0,e=0;d=a+160|0;b=c[d>>2]|0;while(1){if(!b)break;e=c[b+4>>2]|0;Fr(b+604|0);Fr(b+592|0);_I(c[b+584>>2]|0);_I(c[b+588>>2]|0);_I(b);b=e}c[42045]=0;c[42044]=0;c[a+192>>2]=0;c[a+164>>2]=0;c[d>>2]=0;c[a+28>>2]=0;return}function Hr(b,d,e,f,g,h){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;var i=0,j=0,k=0,m=0,n=0;n=l;l=l+128|0;k=n+64|0;m=n;mL(k,e,63)|0;i=WJ(k,58)|0;if(i|0)a[i>>0]=0;b=b+60+(d<<2)|0;while(1){d=c[b>>2]|0;if(!d){d=b;b=0;break}mL(m,c[d+4>>2]|0,63)|0;d=WJ(m,58)|0;if(d|0)a[d>>0]=0;if((xJ(k,m)|0)<1){j=9;break}b=c[b>>2]|0}while(1){if((j|0)==9){d=b;b=c[b>>2]|0}if(!b)break;mL(m,c[b+4>>2]|0,63)|0;b=WJ(m,58)|0;if(b|0)a[b>>0]=0;if(xJ(k,m)|0)break;b=c[d>>2]|0;if((c[b+8>>2]|0)<=(f|0))break;j=9}m=ww(20)|0;c[m>>2]=c[d>>2];c[d>>2]=m;c[m+4>>2]=e;c[m+8>>2]=f;c[m+12>>2]=g;c[m+16>>2]=h;l=n;return 1}function Ir(a,b){a=a|0;b=b|0;b=l;l=l+16|0;_l(1,83366,b)|0;l=b;return 0}function Jr(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;s=l;l=l+144|0;r=s;o=s+80|0;p=s+16|0;n=(d+-3|0)>>>0<2?0:d;mL(o,e,63)|0;e=WJ(o,58)|0;if(e){f=e+1|0;a[e>>0]=0;e=WJ(f,58)|0;if(!e)m=0;else{a[e>>0]=0;m=e+1|0}}else{m=0;f=0}i=(f|0)!=0;j=(m|0)==0;k=(n|0)==(d|0);h=b+60+(d<<2)|0;a:while(1){e=c[h>>2]|0;if(!e){e=0;break}mL(p,c[e+4>>2]|0,63)|0;e=WJ(p,58)|0;if(!e)e=0;else{a[e>>0]=0;e=e+1|0}do if(!(xJ(p,o)|0)){g=(e|0)!=0;if(i&g?xJ(e,f)|0:0)break;if(!j?xJ(m,c[(c[(c[h>>2]|0)+12>>2]|0)+8>>2]|0)|0:0)break;if(k|g^1){q=16;break a}if(Jr(b,n,e)|0){q=16;break a}}while(0);h=c[h>>2]|0}do if((q|0)==16){e=c[h>>2]|0;if(e){f=e+16|0;if((c[f>>2]|0)==0?(Ir(0,0)|0,(c[f>>2]|0)==0):0){e=0;break}if((c[b+8>>2]|0)>0){q=c[13918]|0;o=c[e+4>>2]|0;p=c[(c[e+12>>2]|0)+8>>2]|0;c[r>>2]=c[19224+(d<<2)>>2];c[r+4>>2]=o;c[r+8>>2]=p;zL(q,83397,r)|0}}else e=0}while(0);c[b+80+(d<<2)>>2]=e;l=s;return e|0}function Kr(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;do if(!e)e=0;else{if(c[4811]|0){cm(168184,0,0);c[4811]=0}h=GL(e)|0;e=WJ(h,58)|0;if(e){a[e>>0]=0;f=b+60+(d<<2)|0;e=1;g=f;while(1){b=c[g>>2]|0;if(!b)break;d=GL(c[b+4>>2]|0)|0;b=WJ(d,58)|0;if(b|0)a[b>>0]=0;if(!((a[h>>0]|0)!=0?(iK(h,d)|0)!=0:0)){e=c[42047]|0;if(e>>>0>=(c[42048]|0)>>>0){dm(168184,1)|0;e=c[42047]|0}c[42047]=e+1;a[e>>0]=32;fm(168184,c[(c[g>>2]|0)+4>>2]|0)|0;e=c[42047]|0;if(e>>>0>=(c[42048]|0)>>>0){dm(168184,1)|0;e=c[42047]|0}c[42047]=e+1;a[e>>0]=58;fm(168184,c[(c[(c[g>>2]|0)+12>>2]|0)+8>>2]|0)|0;e=0}_I(d);g=c[g>>2]|0}_I(h);if(e<<24>>24){g=0;i=19}}else{_I(h);g=0;f=b+60+(d<<2)|0;e=1;i=19}if((i|0)==19){while(1){b=c[f>>2]|0;if(!b)break;d=GL(c[b+4>>2]|0)|0;b=WJ(d,58)|0;if(b|0)a[b>>0]=0;if(!((g|0)!=0?(iK(g,d)|0)==0:0)){e=c[42047]|0;if(e>>>0>=(c[42048]|0)>>>0){dm(168184,1)|0;e=c[42047]|0}c[42047]=e+1;a[e>>0]=32;fm(168184,d)|0;e=0}g=d;f=c[f>>2]|0;i=19}if(e<<24>>24){e=174181;break}}e=c[42047]|0;if(e>>>0>=(c[42048]|0)>>>0){dm(168184,1)|0;e=c[42047]|0}a[e>>0]=0;e=c[42046]|0;c[42047]=e}while(0);return e|0}function Lr(b){b=b|0;var d=0;if(!b)ma(96030,83414,573,83428);if(!(a[b>>0]|0))ma(96035,83414,574,83428);d=c[42050]|0;if(!d)b=0;else b=bb[c[d>>2]&31](d,b,512)|0;return b|0}function Mr(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+16|0;j=k+8|0;i=k;if(!b)ma(96091,83414,589,83445);g=b+8|0;e=c[g>>2]|0;if(!e)ma(96094,83414,590,83445);if(!(a[e>>0]|0))ma(96103,83414,591,83445);h=b+20|0;f=c[h>>2]|0;do if(!f){d=RA(e)|0;if(!d){c[i>>2]=c[g>>2];_l(0,83469,i)|0;d=0;break}i=aM(d,123632)|0;c[h>>2]=i;if(!i){c[j>>2]=yJ(c[(jJ()|0)>>2]|0)|0;c[j+4>>2]=d;_l(0,83494,j)|0;d=0;break}d=c[42051]|0;if((d|0)>49){a[b+17>>0]=1;d=1;break}else{c[42051]=d+1;d=1;break}}else{oM(f,0,0)|0;if(!(c[h>>2]|0))ma(83515,83414,614,83445);else d=1}while(0);l=k;return d|0}function Nr(b){b=b|0;var d=0,e=0;if(a[b+17>>0]|0?(d=b+20|0,e=c[d>>2]|0,e|0):0){LL(e)|0;c[d>>2]=0}return}function Or(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0.0,g=0.0;if(!b){e=-1;d=-1}else{e=c[b+48>>2]|0;f=+(e|0);if(!e){g=+h[d>>3];f=+h[d+8>>3]}else{h[d+8>>3]=f;h[d>>3]=f;g=f}e=~~(+((c[b+40>>2]|0)*72|0)/g);d=~~(+((c[b+44>>2]|0)*72|0)/f)}c[a>>2]=e;c[a+4>>2]=d;return}function Pr(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0.0;m=l;l=l+48|0;f=m+16|0;j=m;k=m+32|0;if((e|0)!=0?(a[e>>0]|0)!=0:0){if((0==0?(g=c[42178]|0,(c[42052]|0)!=(g|0)):0)?(c[42052]=g,i=c[42050]|0,i|0):0){Kl(i)|0;c[42050]=0}n=+h[(c[(c[d+16>>2]|0)+8>>2]|0)+24>>3];n=!(n>=1.0)?96.0:n;h[j+8>>3]=n;h[j>>3]=n;d=Qr(e)|0;c[f>>2]=c[j>>2];c[f+4>>2]=c[j+4>>2];c[f+8>>2]=c[j+8>>2];c[f+12>>2]=c[j+12>>2];Or(k,d,f);d=c[k>>2]|0;f=c[k+4>>2]|0}else{d=-1;f=-1}c[b>>2]=d;c[b+4>>2]=f;l=m;return}function Qr(a){a=a|0;var b=0,d=0,e=0,f=0;f=l;l=l+16|0;e=f;if(!a)ma(96030,83414,638,83521);if(!(c[42050]|0))c[42050]=Ql(19248,c[4353]|0)|0;b=Lr(a)|0;a:do if(!b){b=vw(64)|0;if(!b)b=0;else{d=b+8|0;c[d>>2]=$o(0,a)|0;if(!((Mr(b)|0)<<24>>24)){Rr(b);b=0;break}if(!(c[b+20>>2]|0))ma(83515,83414,653,83521);do switch(Sr(b)|0){case 0:{a=Py(c[d>>2]|0)|0;c[b+52>>2]=a;if(!a){c[e>>2]=c[d>>2];_l(0,83538,e)|0;Rr(b);b=0;break a}break}case 2:{Tr(b);break}case 3:{Ur(b);break}case 1:{Vr(b);break}case 4:{Wr(b);break}case 6:{Xr(b);break}case 11:{Yr(b);break}case 8:{Zr(b);break}case 5:{_r(b);break}case 12:{$r(b);break}default:{}}while(0);Nr(b);e=c[42050]|0;bb[c[e>>2]&31](e,b,1)|0}}else Nr(b);while(0);l=f;return b|0}function Rr(a){a=a|0;var b=0;b=c[a+8>>2]|0;if(b|0)bp(0,b)|0;_I(a);return}function Sr(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0;j=l;l=l+224|0;f=j+200|0;g=j;h=a+20|0;b=c[h>>2]|0;a:do if((b|0)!=0?(wN(f,1,20,b)|0)==20:0){d=0;while(1){if(d>>>0>=10){i=13;break a}if(!(dL(f,c[19284+(d<<4)>>2]|0,c[19284+(d<<4)+4>>2]|0)|0))break;d=d+1|0}e=a+28|0;c[e>>2]=c[19284+(d<<4)+12>>2];b=c[19284+(d<<4)+8>>2]|0;a=a+24|0;c[a>>2]=b;switch(d|0){case 7:break;case 8:{if(dL(f+8|0,83754,4)|0)break a;c[e>>2]=83759;c[a>>2]=11;b=11;break a}default:break a}while(1){if(!(gL(g,200,c[h>>2]|0)|0)){i=11;break}if(!(dL(g,83749,4)|0)){i=8;break}}if((i|0)==8){c[e>>2]=86879;c[a>>2]=8;b=8;break}else if((i|0)==11){b=c[a>>2]|0;break}}else i=13;while(0);if((i|0)==13){c[a+28>>2]=83764;c[a+24>>2]=0;b=0}l=j;return b|0}function Tr(a){a=a|0;var b=0,d=0,e=0,f=0;f=l;l=l+16|0;b=f+4|0;d=f;c[a+48>>2]=0;e=a+20|0;oM(c[e>>2]|0,6,0)|0;if((is(c[e>>2]|0,2,b)|0)<<24>>24?(is(c[e>>2]|0,2,d)|0)<<24>>24:0){c[a+40>>2]=c[b>>2];c[a+44>>2]=c[d>>2]}l=f;return}function Ur(a){a=a|0;var b=0,d=0,e=0,f=0;f=l;l=l+16|0;b=f+4|0;d=f;c[a+48>>2]=0;e=a+20|0;oM(c[e>>2]|0,16,0)|0;if((as(c[e>>2]|0,4,b)|0)<<24>>24?(as(c[e>>2]|0,4,d)|0)<<24>>24:0){c[a+40>>2]=c[b>>2];c[a+44>>2]=c[d>>2]}l=f;return}function Vr(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;h=l;l=l+16|0;b=h+12|0;d=h+8|0;e=h+4|0;f=h;c[a+48>>2]=0;g=a+20|0;oM(c[g>>2]|0,16,0)|0;if((((is(c[g>>2]|0,2,b)|0)<<24>>24?(is(c[g>>2]|0,2,d)|0)<<24>>24:0)?(is(c[g>>2]|0,2,e)|0)<<24>>24:0)?(is(c[g>>2]|0,2,f)|0)<<24>>24:0){c[a+40>>2]=c[b>>2]<<16|c[d>>2];c[a+44>>2]=c[e>>2]<<16|c[f>>2]}l=h;return}function Wr(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+32|0;b=m+16|0;e=m+12|0;f=m+8|0;h=m+4|0;i=m;c[a+48>>2]=0;j=a+20|0;while(1){if(!((as(c[j>>2]|0,1,b)|0)<<24>>24))break;d=c[b>>2]|0;if((d|0)==255)continue;if(WJ(83737,d)|0)continue;if((d|0)==192){k=6;break}g=c[j>>2]|0;if((d|0)==194){k=11;break}if(!((as(g,2,e)|0)<<24>>24))break;oM(c[j>>2]|0,(c[e>>2]|0)+-2|0,1)|0}if((k|0)==6){if(((as(c[j>>2]|0,3,i)|0)<<24>>24?(as(c[j>>2]|0,2,f)|0)<<24>>24:0)?(as(c[j>>2]|0,2,h)|0)<<24>>24:0){c[a+44>>2]=c[f>>2];c[a+40>>2]=c[h>>2]}}else if((((k|0)==11?(as(g,3,i)|0)<<24>>24:0)?(as(c[j>>2]|0,2,f)|0)<<24>>24:0)?(as(c[j>>2]|0,2,h)|0)<<24>>24:0){c[a+44>>2]=c[f>>2];c[a+40>>2]=c[h>>2]}l=m;return}function Xr(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+1056|0;j=m;b=m+32|0;e=m+28|0;f=m+24|0;g=m+20|0;h=m+16|0;c[a+48>>2]=72;i=a+20|0;oM(c[i>>2]|0,0,0)|0;while(1){if(!(gL(b,1024,c[i>>2]|0)|0))break;d=hL(b,83722)|0;if(!d)continue;c[j>>2]=e;c[j+4>>2]=f;c[j+8>>2]=g;c[j+12>>2]=h;if((cM(d,89345,j)|0)==4){k=5;break}}if((k|0)==5){j=c[e>>2]|0;c[a+32>>2]=j;k=c[f>>2]|0;c[a+36>>2]=k;c[a+40>>2]=(c[g>>2]|0)-j;c[a+44>>2]=(c[h>>2]|0)-k}l=m;return}function Yr(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;g=l;l=l+16|0;b=g+4|0;d=g;c[a+48>>2]=0;e=a+20|0;oM(c[e>>2]|0,15,0)|0;h=(BN(c[e>>2]|0)|0)==88;f=c[e>>2]|0;if(h){oM(f,24,0)|0;if((is(c[e>>2]|0,4,b)|0)<<24>>24?(is(c[e>>2]|0,4,d)|0)<<24>>24:0){c[a+40>>2]=c[b>>2];c[a+44>>2]=c[d>>2]}}else{oM(f,26,0)|0;if((is(c[e>>2]|0,2,b)|0)<<24>>24?(is(c[e>>2]|0,2,d)|0)<<24>>24:0){c[a+40>>2]=c[b>>2];c[a+44>>2]=c[d>>2]}}l=g;return}function Zr(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0;F=l;l=l+352|0;C=F+80|0;B=F+72|0;E=F+64|0;D=F+56|0;A=F+48|0;d=F+40|0;s=F+32|0;t=F+24|0;u=F+16|0;v=F+8|0;w=F;x=F+328|0;y=F+128|0;z=F+96|0;if(!(c[42053]|0)){if(EM(168216,83607,1)|0){c[d>>2]=83607;_l(1,83634,d)|0}c[42053]=168216}m=b+20|0;oM(c[m>>2]|0,0,0)|0;n=z+12|0;o=z+20|0;p=z+8|0;q=z+16|0;r=z+4|0;d=0;g=0;f=0;e=0;a:while(1){if(!(gL(y,200,c[m>>2]|0)|0))break;if(g<<24>>24==0|d<<24>>24==0){i=y;k=e}else break;b:while(1){j=f;c:while(1){while(1){if(qN(168216,i,4,z,0)|0){f=j;e=k;continue a}a[i+(c[n>>2]|0)>>0]=0;a[i+(c[o>>2]|0)>>0]=0;e=i+(c[p>>2]|0)|0;f=i+(c[q>>2]|0)|0;i=i+((c[r>>2]|0)+1)|0;if(!(xJ(e,96043)|0))break;if(!(xJ(e,96049)|0))break c;if(xJ(e,83681)|0)continue;c[C>>2]=t;c[C+4>>2]=u;c[C+8>>2]=v;c[C+12>>2]=w;if((cM(f,83689,C)|0)==4)break b}c[A>>2]=s;c[A+4>>2]=x;if((cM(f,83671,A)|0)!=2){c[D>>2]=s;if((cM(f,86246,D)|0)==1){e=1;f=hs(+h[s>>3],83678)|0}else{e=g;f=j}}else{e=1;f=hs(+h[s>>3],x)|0}if(!(d<<24>>24)){d=0;g=e;j=f}else{g=e;e=k;continue a}}c[E>>2]=s;c[E+4>>2]=x;if((cM(f,83671,E)|0)!=2){c[B>>2]=s;if((cM(f,86246,B)|0)==1){d=1;e=hs(+h[s>>3],83678)|0}else e=k}else{d=1;e=hs(+h[s>>3],x)|0}if(!(g<<24>>24)){g=0;f=j;k=e}else{f=j;continue a}}d=1;g=1;f=~~(+h[v>>3]+1.0-+h[t>>3])>>>0;e=~~(+h[w>>3]+1.0-+h[u>>3])>>>0}c[b+48>>2]=0;c[b+40>>2]=f;c[b+44>>2]=e;l=F;return}function _r(a){a=a|0;var b=0,d=0,e=0,f=0.0,g=0.0;d=l;l=l+32|0;b=d;c[a+48>>2]=0;e=a+20|0;oM(c[e>>2]|0,0,0)|0;if(!(bs(c[e>>2]|0,b)|0)){g=+h[b>>3];c[a+32>>2]=~~g;f=+h[b+8>>3];c[a+36>>2]=~~f;c[a+40>>2]=~~(+h[b+16>>3]-g);c[a+44>>2]=~~(+h[b+24>>3]-f)}l=d;return}function $r(a){a=a|0;var b=0,d=0,e=0,f=0;f=l;l=l+16|0;b=f+4|0;d=f;c[a+48>>2]=0;e=a+20|0;oM(c[e>>2]|0,6,0)|0;if((as(c[e>>2]|0,1,b)|0)<<24>>24?(as(c[e>>2]|0,1,d)|0)<<24>>24:0){c[a+40>>2]=c[b>>2];c[a+44>>2]=c[d>>2]}l=f;return}function as(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;c[d>>2]=0;e=0;while(1){if(e>>>0>=b>>>0){e=1;break}f=BN(a)|0;if(KL(a)|0){e=0;break}c[d>>2]=c[d>>2]<<8|f;e=e+1|0}return e|0}function bs(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;h=l;l=l+1040|0;d=h;e=h+16|0;while(1){if(!(gL(e,1024,a)|0)){a=1;break}f=hL(e,83597)|0;if(f|0){g=4;break}}if((g|0)==4){c[d+4>>2]=e;c[d>>2]=f+9;c[d+8>>2]=a;a=cs(d,b)|0}l=h;return a|0}function cs(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;g=l;l=l+1024|0;f=g;ds(b);e=a[c[b>>2]>>0]|0;if(!(e<<24>>24))e=(es(b)|0)&255;else e=e<<24>>24;if((((e|0)==91?(c[b>>2]=(c[b>>2]|0)+1,fs(b,f),(gs(f,d)|0)==0):0)?(fs(b,f),(gs(f,d+8|0)|0)==0):0)?(fs(b,f),(gs(f,d+16|0)|0)==0):0){fs(b,f);e=(gs(f,d+24|0)|0)!=0&1}else e=1;l=g;return e|0}function ds(b){b=b|0;var d=0;d=c[b>>2]|0;while(1){d=a[d>>0]|0;if(!(d<<24>>24))d=(es(b)|0)&255;else d=d<<24>>24;if(!((d&255)<<24>>24))break;if(!(XJ(d&255)|0))break;d=(c[b>>2]|0)+1|0;c[b>>2]=d}return}function es(b){b=b|0;var d=0;d=b+4|0;if(!(gL(c[d>>2]|0,1024,c[b+8>>2]|0)|0))b=0;else{d=c[d>>2]|0;c[b>>2]=d;b=a[d>>0]|0}return b|0}function fs(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;ds(b);e=0;f=c[b>>2]|0;while(1){f=a[f>>0]|0;if(!(f<<24>>24))g=(es(b)|0)&255;else g=f<<24>>24;f=g<<24>>24;if(!f)break;if(!((f|0)==46|(f+-48|0)>>>0<10))break;a[d+e>>0]=g;e=e+1|0;f=(c[b>>2]|0)+1|0;c[b>>2]=f;if((e|0)==1023){e=1023;break}}a[d+e>>0]=0;return}function gs(a,b){a=a|0;b=b|0;var d=0.0,e=0,f=0;e=l;l=l+16|0;f=e;d=+tM(a,f);if((c[f>>2]|0)==(a|0))a=1;else{h[b>>3]=d;a=0}l=e;return a|0}function hs(a,b){a=+a;b=b|0;var c=0.0;do if(!(xJ(b,83705)|0)){a=a*72.0;c=a;a=a>=0.0?.5:-.5}else{if(!(xJ(b,83708)|0)){a=a*.75;c=a;a=a>=0.0?.5:-.5;break}if(!(xJ(b,83711)|0)){a=a*12.0;c=a;a=a>=0.0?.5:-.5;break}if(xJ(b,83678)|0?xJ(b,83714)|0:0)if(!(xJ(b,83716)|0)){a=a*28.346456664;c=a;a=a>=0.0?.5:-.5;break}else{b=(xJ(b,83719)|0)==0;c=a*2.8346456663999997;return (b?~~(c+(c>=0.0?.5:-.5)):0)|0}c=a>=0.0?.5:-.5}while(0);return ~~(a+c)|0}function is(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;c[d>>2]=0;e=0;while(1){if(e>>>0>=b>>>0){e=1;break}f=BN(a)|0;if(KL(a)|0){e=0;break}c[d>>2]=c[d>>2]|f<<(e<<3);e=e+1|0}return e|0}function js(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;a=c[b+20>>2]|0;if(a|0)LL(a)|0;if(c[b+52>>2]|0?(e=c[b+60>>2]|0,e|0):0)gb[e&127](b);_I(b);return}function ks(){var a=0;ym(0,1,86240,90527)|0;a=xr(0,1)|0;sE(a,0);return a|0}function ls(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0.0,n=0.0,o=0.0,p=0.0;k=l;l=l+304|0;j=k+24|0;i=k+8|0;f=k;g=k+40|0;if((fr(b,e)|0)!=999)if((gr(b,d)|0)==-1)b=-1;else{b=c[d+16>>2]|0;e=b+16|0;if(!(a[(c[b+8>>2]|0)+81>>0]|0)){p=+h[e>>3];o=+h[b+24>>3];n=+h[b+32>>3];m=+h[b+40>>3];c[j>>2]=~~(p+(p>=0.0?.5:-.5));c[j+4>>2]=~~(o+(o>=0.0?.5:-.5));c[j+8>>2]=~~(n+(n>=0.0?.5:-.5));c[j+12>>2]=~~(m+(m>=0.0?.5:-.5));pL(g,83918,j)|0}else{m=+h[b+24>>3];n=+h[e>>3];o=+h[b+40>>3];p=+h[b+32>>3];c[i>>2]=~~(m+(m>=0.0?.5:-.5));c[i+4>>2]=~~(n+(n>=0.0?.5:-.5));c[i+8>>2]=~~(o+(o>=0.0?.5:-.5));c[i+12>>2]=~~(p+(p>=0.0?.5:-.5));pL(g,83918,i)|0}Lm(d,87705,g,174181)|0;b=0}else{b=Kr(b,1,e)|0;c[f>>2]=e;c[f+4>>2]=b;_l(1,83869,f)|0;b=-1}l=k;return b|0}function ms(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;i=l;l=l+16|0;g=i;f=c[b+60>>2]|0;Br(a,d)|0;b=c[a+164>>2]|0;c[b+56>>2]=bD(b,c[b+52>>2]|0)|0;if((No(f,122277,0,1)|0)!=0?(c[(c[f+16>>2]|0)+8>>2]|0)!=0:0)h=5;else if(!(c[b+152>>2]&67108864)){bm(83930,g);b=-1}else h=5;if((h|0)==5){c[b+36>>2]=e;if(!e){h=b+152|0;c[h>>2]=c[h>>2]|134217728}h=Gv(a,f)|0;dD(b);Gr(a);b=h}l=i;return b|0}function ns(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;i=l;l=l+16|0;g=i;f=c[b+60>>2]|0;Br(a,d)|0;b=c[a+164>>2]|0;c[b+56>>2]=bD(b,c[b+52>>2]|0)|0;if((No(f,122277,0,1)|0)!=0?(c[(c[f+16>>2]|0)+8>>2]|0)!=0:0)h=5;else if(!(c[b+152>>2]&67108864)){bm(83930,g);b=-1}else h=5;if((h|0)==5){Ar(a,e);h=Gv(a,f)|0;dD(b);qr(b);Gr(a);b=h}l=i;return b|0}function os(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+16|0;h=m+8|0;g=m;b=c[b+60>>2]|0;Br(a,d)|0;j=c[a+164>>2]|0;c[j+56>>2]=bD(j,c[j+52>>2]|0)|0;if((No(b,122277,0,1)|0)!=0?(c[(c[b+16>>2]|0)+8>>2]|0)!=0:0)k=5;else if(!(c[j+152>>2]&67108864)){bm(83930,g);b=-1}else k=5;do if((k|0)==5){if(e|0?(i=ZI(4096)|0,c[e>>2]=i,i|0):0){g=j+40|0;c[g>>2]=i;c[j+44>>2]=4096;d=j+48|0;c[d>>2]=0;b=Gv(a,b)|0;dD(j);if(!b){c[e>>2]=c[g>>2];c[f>>2]=c[d>>2]}Gr(a);break}_l(1,83951,h)|0;b=-1}while(0);l=m;return b|0}function ps(a,b){a=a|0;b=b|0;qE(a,0,b);return}function qs(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;if(!((a|0)!=0?(ys(a)|0)!=0:0))a=84007;e=rJ(a)|0;if((e|0)>=104){d=ww(e+25|0)|0;if(!d)d=0;else f=6}else f=6;if((f|0)==6){xK(d,a)|0;c[b>>2]=e}return d|0}function rs(a,b){a=a|0;b=b|0;io(b,a,1)|0;return}function ss(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;c[b>>2]=d;c[b+4>>2]=d+4096;c[b+12>>2]=0;c[b+8>>2]=0;c[a>>2]=b;c[a+4>>2]=b;c[a+8>>2]=d;c[a+12>>2]=e;c[a+16>>2]=f;return}function ts(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;ws(e,b);i=e+12|0;j=e+16|0;b=0;a:while(1){k=xs(e)|0;if(!k)break;b=b+1|0;f=c[i>>2]|0;if(f|0)hb[f&31](k,d);h=Um(a,k)|0;while(1){if(!h)continue a;g=c[h>>2]&3;f=c[((g|0)==3?h:h+48|0)+40>>2]|0;if((f|0)==(k|0))f=c[((g|0)==2?h:h+-48|0)+40>>2]|0;if(!(ab[c[j>>2]&63](f,-1)|0))ws(e,f);h=Vm(a,h,k)|0}}return b|0}function us(a){a=a|0;var b=0;a=c[(c[a>>2]|0)+12>>2]|0;while(1){if(!a)break;b=c[a+12>>2]|0;vs(a);a=b}return}function vs(a){a=a|0;_I(c[a>>2]|0);_I(a);return}function ws(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+16|0;j=k+8|0;f=k;g=a+8|0;i=a+4|0;d=c[i>>2]|0;if((c[g>>2]|0)==(c[d+4>>2]|0)){d=c[d+12>>2]|0;do if(!d){e=ww(16)|0;if(!e){_l(1,83988,f)|0;Ua(168248,1)}c[e+8>>2]=c[i>>2];c[e+12>>2]=0;d=ww(4e6)|0;c[e>>2]=d;if(!d){_l(1,83988,j)|0;Ua(168248,1)}else{c[e+4>>2]=d+4e6;c[(c[i>>2]|0)+12>>2]=e;h=e;break}}else h=d;while(0);c[i>>2]=h;c[g>>2]=c[h>>2]}ab[c[a+16>>2]&63](b,1)|0;j=c[g>>2]|0;c[g>>2]=j+4;c[j>>2]=b;l=k;return}function xs(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;f=a+8|0;b=c[f>>2]|0;d=a+4|0;e=c[d>>2]|0;if((b|0)==(c[e>>2]|0))if((e|0)==(c[a>>2]|0))b=0;else{b=c[e+8>>2]|0;c[d>>2]=b;b=c[b+4>>2]|0;c[f>>2]=b;g=4}else g=4;if((g|0)==4){b=b+-4|0;c[f>>2]=b;b=c[b>>2]|0}return b|0}function ys(b){b=b|0;var c=0;a:while(1){c=b;b=b+1|0;c=a[c>>0]|0;switch(c<<24>>24){case 95:continue a;case 0:{b=1;break a}default:{}}if(!(gK(c&255)|0)){b=0;break}}return b|0}function zs(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=0;f=co(a)|0;while(1){if(!f)break;e=Pm(b,f)|0;while(1){if(!e)break;if(io(a,c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0,0)|0){en(a,e,1)|0;d=d+1|0}e=Rm(b,e)|0}f=eo(a,f)|0}return d|0}function As(a){a=a|0;a=Lo(a,84012,0)|0;if(!a)ma(84017,84020,529,84029);else return c[a+8>>2]|0;return 0}function Bs(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0;u=l;l=l+4320|0;s=u+24|0;r=u+8|0;q=u;t=u+4184|0;p=u+4160|0;f=u+40|0;if(mn(b)|0){So(b,0,84038,-12,0);So(b,1,84050,16,0);o=qs(e,f,t)|0;k=Cs(b)|0;m=ww((mn(k)|0)<<2)|0;ss(p,u+4144|0,u+48|0,23,22);h=co(k)|0;n=p+16|0;i=o+(c[f>>2]|0)|0;j=c[13918]|0;e=0;while(1){if(!h)break;if(!(ab[c[n>>2]&63](h,-1)|0)){c[q>>2]=e;pL(i,84952,q)|0;v=Ip(k,o,1)|0;w=Ip(b,o,1)|0;No(w,84038,12,0)|0;a[(Lo(w,84038,0)|0)+8>>0]=1;f=ts(k,h,v,p)|0;Es(v,w);g=Fs(w)|0;Gs(b,w);c[m+(e<<2)>>2]=w;qo(k,v)|0;if(0){c[r>>2]=e;c[r+4>>2]=f;c[r+8>>2]=g;zL(j,84062,r)|0}e=e+1|0}h=eo(k,h)|0}if(0){r=mn(b)|0;v=nn(b)|0;w=Dn(b)|0;c[s>>2]=r;c[s+4>>2]=v;c[s+8>>2]=e;c[s+12>>2]=w;zL(j,84092,s)|0}ln(k)|0;To(b,0,84038);To(b,1,84050);us(p);f=yw(m,e<<2)|0;if((o|0)!=(t|0))_I(o)}else{f=0;e=0}c[d>>2]=e;l=u;return f|0}function Cs(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;h=i;a[h>>0]=a[17652]|0;a[h+1>>0]=a[17653]|0;a[h+2>>0]=a[17654]|0;a[h+3>>0]=a[17655]|0;h=gn(84139,h,0)|0;Js(h,b);d=co(b)|0;while(1){if(!d)break;if(!(c[(Lo(d,84050,0)|0)+12>>2]|0)){g=no(h,Dn(d)|0,1)|0;No(g,84050,16,1)|0;c[(c[g+16>>2]|0)+12>>2]=d;c[(Lo(d,84050,0)|0)+12>>2]=g}d=eo(b,d)|0}e=co(b)|0;while(1){if(!e)break;f=c[(Lo(e,84050,0)|0)+12>>2]|0;d=Pm(b,e)|0;while(1){if(!d)break;g=c[(Lo(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0,84050,0)|0)+12>>2]|0;do if((g|0)!=(f|0))if(g>>>0>f>>>0){an(h,f,g,0,1)|0;break}else{an(h,g,f,0,1)|0;break}while(0);d=Rm(b,d)|0}e=eo(b,e)|0}l=i;return h|0}function Ds(b,d){b=b|0;d=d|0;var e=0;b=(c[b+16>>2]|0)+8|0;e=a[b>>0]|0;if((d|0)>=0)a[b>>0]=d;return e|0}function Es(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;e=co(a)|0;while(1){if(!e)break;f=c[(c[e+16>>2]|0)+12>>2]|0;a:do if((c[f>>2]&3|0)==1)io(b,f,1)|0;else{d=co(f)|0;while(1){if(!d)break a;io(b,d,1)|0;d=eo(f,d)|0}}while(0);e=eo(a,e)|0}return}function Fs(a){a=a|0;return zs(a,c[a+60>>2]|0)|0}function Gs(a,b){a=a|0;b=b|0;Hs(a,b,0);return}function Hs(b,c,d){b=b|0;c=c|0;d=d|0;var e=0,f=0,g=0;g=(d|0)==0;b=Jp(b)|0;while(1){if(!b)break;if((a[(Lo(b,84038,0)|0)+8>>0]|0)==0?(f=Is(b,c,d)|0,f|0):0){if(g)e=(VJ(Dn(b)|0,93039,7)|0)==0;else e=1;Hs(b,f,e&1)}b=Kp(b)|0}return}function Is(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;e=0;g=co(a)|0;while(1){if(!g)break;f=no(b,Dn(g)|0,0)|0;if(f){if(!e)e=Ip(b,Dn(a)|0,1)|0;io(e,f,1)|0}g=eo(a,g)|0}if((d|0)!=0&(e|0)==0)e=Ip(b,Dn(a)|0,1)|0;if(e|0?(zs(e,a)|0,Mm(a,e)|0,(VJ(Dn(e)|0,93039,7)|0)==0):0)c[(No(e,84012,12,0)|0)+8>>2]=a;return e|0}function Js(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;h=l;l=l+16|0;g=h;d=Jp(b)|0;e=c[13918]|0;while(1){if(!d)break;a:do if(!(VJ(Dn(d)|0,93039,7)|0)){f=no(a,Dn(d)|0,1)|0;No(f,84050,16,1)|0;c[(c[f+16>>2]|0)+12>>2]=d;b=co(d)|0;while(1){if(!b)break a;if(c[(Lo(b,84050,0)|0)+12>>2]|0){k=Dn(b)|0;j=Dn(d)|0;i=Dn(c[(Lo(b,84050,0)|0)+12>>2]|0)|0;c[g>>2]=k;c[g+4>>2]=j;c[g+8>>2]=i;zL(e,84142,g)|0}c[(Lo(b,84050,0)|0)+12>>2]=f;b=eo(d,b)|0}}else Js(a,d);while(0);d=Kp(d)|0}l=h;return}function Ks(a,b,c){a=a|0;b=b|0;c=c|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0.0;n=+h[a>>3];j=~~(n+(n>=0.0?.5:-.5));n=+h[a+8>>3];a=~~(n+(n>=0.0?.5:-.5));n=+h[b>>3];g=~~(n+(n>=0.0?.5:-.5));n=+h[b+8>>3];f=~~(n+(n>=0.0?.5:-.5));l=g-j|0;i=((l|0)>-1?l:0-l|0)<<1;l=l>>31|1;m=f-a|0;k=((m|0)>-1?m:0-m|0)<<1;m=m>>31|1;a:do if((i|0)>(k|0)){e=0-i|0;d=k-(i>>1)|0;b=j;while(1){Cx(c,b,a);if((b|0)==(g|0))break a;j=(d|0)>-1;d=d+k+(j?e:0)|0;b=b+l|0;a=(j?m:0)+a|0}}else{e=0-k|0;d=j;b=i-(k>>1)|0;while(1){Cx(c,d,a);if((a|0)==(f|0))break a;k=(b|0)>-1;d=(k?l:0)+d|0;b=b+i+(k?e:0)|0;a=a+m|0}}while(0);return}function Ls(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+16|0;k=n;j=n+4|0;do if((a|0)<1)d=0;else{f=e+16|0;if((c[f>>2]|0)>>>0<4){d=Ms(a,b,d,e)|0;break}m=ww(a<<5)|0;d=0;while(1){if((d|0)==(a|0))break;g=c[b+(d<<2)>>2]|0;dB(g);h=m+(d<<5)|0;g=(c[g+16>>2]|0)+16|0;c[h>>2]=c[g>>2];c[h+4>>2]=c[g+4>>2];c[h+8>>2]=c[g+8>>2];c[h+12>>2]=c[g+12>>2];c[h+16>>2]=c[g+16>>2];c[h+20>>2]=c[g+20>>2];c[h+24>>2]=c[g+24>>2];c[h+28>>2]=c[g+28>>2];d=d+1|0}if((c[f>>2]|0)==4){h=e+28|0;a:do if(c[h>>2]&2|0){f=e+24|0;c[f>>2]=vw(a<<2)|0;d=0;while(1){if((d|0)==(a|0))break a;g=Im(c[b+(d<<2)>>2]|0,84209)|0;if(g|0?(c[k>>2]=j,g=(cM(g,122187,k)|0)>0,i=c[j>>2]|0,g&(i|0)>-1):0)c[(c[f>>2]|0)+(d<<2)>>2]=i;d=d+1|0}}while(0);d=Ns(a,m,e)|0;if(c[h>>2]&2)_I(c[e+24>>2]|0)}else d=0;_I(m)}while(0);l=n;return d|0}function Ms(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0.0,I=0.0,J=0.0,K=0.0;G=l;l=l+144|0;B=G+136|0;A=G+64|0;F=G+48|0;v=G+40|0;u=G;t=G+120|0;x=G+104|0;C=G+96|0;D=c[f+20>>2]|0;c[x>>2]=0;c[x+4>>2]=0;c[x+8>>2]=0;c[x+12>>2]=0;a:do if((b|0)>=1){o=(D|0)==0;E=c[13918]|0;p=t+4|0;q=t+8|0;r=t+12|0;y=x+4|0;w=x+8|0;z=x+12|0;n=0;g=0;while(1){if((n|0)==(b|0))break;s=c[d+(n<<2)>>2]|0;dB(s);if(!o?(a[D+n>>0]|0)!=0:0){m=c[s+16>>2]|0;H=+h[m+16>>3];i=~~(H+(H>=0.0?.5:-.5));c[t>>2]=i;H=+h[m+24>>3];j=~~(H+(H>=0.0?.5:-.5));c[p>>2]=j;H=+h[m+32>>3];k=~~(H+(H>=0.0?.5:-.5));c[q>>2]=k;H=+h[m+40>>3];m=~~(H+(H>=0.0?.5:-.5));c[r>>2]=m;if(!g){c[x>>2]=c[t>>2];c[x+4>>2]=c[t+4>>2];c[x+8>>2]=c[t+8>>2];c[x+12>>2]=c[t+12>>2]}else{c[x>>2]=c[((c[x>>2]|0)>(i|0)?t:x)>>2];c[y>>2]=c[((c[y>>2]|0)>(j|0)?t:x)+4>>2];c[w>>2]=c[((c[w>>2]|0)<(k|0)?t:x)+8>>2];c[z>>2]=c[((c[z>>2]|0)<(m|0)?t:x)+12>>2]}g=g+1|0}if(0>2){m=Dn(s)|0;s=c[s+16>>2]|0;K=+h[s+16>>3];J=+h[s+24>>3];I=+h[s+32>>3];H=+h[s+40>>3];c[u>>2]=m;h[u+8>>3]=K;h[u+16>>3]=J;h[u+24>>3]=I;h[u+32>>3]=H;zL(E,84276,u)|0}n=n+1|0}q=ww(b<<5)|0;g=0;while(1){if((g|0)==(b|0))break;u=q+(g<<5)|0;t=(c[(c[d+(g<<2)>>2]|0)+16>>2]|0)+16|0;c[u>>2]=c[t>>2];c[u+4>>2]=c[t+4>>2];c[u+8>>2]=c[t+8>>2];c[u+12>>2]=c[t+12>>2];c[u+16>>2]=c[t+16>>2];c[u+20>>2]=c[t+20>>2];c[u+24>>2]=c[t+24>>2];c[u+28>>2]=c[t+28>>2];g=g+1|0}o=f+8|0;p=Qs(b,q,c[o>>2]|0)|0;if(0){c[v>>2]=p;zL(E,84304,v)|0}if((p|0)>=1){n=(D|0)!=0;if(n){i=((c[w>>2]|0)+(c[x>>2]|0)|0)/2|0;g=((c[z>>2]|0)+(c[y>>2]|0)|0)/2|0}else{i=0;g=0}c[C+4>>2]=g;c[C>>2]=i;m=vw(b<<4)|0;k=f+16|0;g=0;while(1){if((g|0)>=(b|0))break;i=c[d+(g<<2)>>2]|0;j=m+(g<<4)|0;c[m+(g<<4)+12>>2]=g;if((c[k>>2]|0)==3){x=(c[i+16>>2]|0)+16|0;y=c[o>>2]|0;z=Dn(i)|0;c[A>>2]=c[x>>2];c[A+4>>2]=c[x+4>>2];c[A+8>>2]=c[x+8>>2];c[A+12>>2]=c[x+12>>2];c[A+16>>2]=c[x+16>>2];c[A+20>>2]=c[x+20>>2];c[A+24>>2]=c[x+24>>2];c[A+28>>2]=c[x+28>>2];c[B>>2]=c[C>>2];c[B+4>>2]=c[C+4>>2];Rs(A,j,p,y,B,z)}else{c[B>>2]=c[C>>2];c[B+4>>2]=c[C+4>>2];Ss(e,i,j,p,f,B)}g=g+1|0}j=vw(b<<2)|0;g=0;while(1){if((g|0)>=(b|0))break;c[j+(g<<2)>>2]=m+(g<<4);g=g+1|0}rL(j,b,4,23);k=wx()|0;g=vw(b<<3)|0;b:do if(n){i=0;while(1){if((i|0)>=(b|0)){i=0;break}if(a[D+i>>0]|0){e=c[j+(i<<2)>>2]|0;f=g+(c[e+12>>2]<<3)|0;c[B>>2]=c[C>>2];c[B+4>>2]=c[C+4>>2];Us(e,k,f,B)}i=i+1|0}while(1){if((i|0)>=(b|0))break b;if(!(a[D+i>>0]|0)){C=c[j+(i<<2)>>2]|0;Vs(i,C,k,g+(c[C+12>>2]<<3)|0,p,c[o>>2]|0,q)}i=i+1|0}}else{i=0;while(1){if((i|0)>=(b|0))break b;D=c[j+(i<<2)>>2]|0;Vs(i,D,k,g+(c[D+12>>2]<<3)|0,p,c[o>>2]|0,q);i=i+1|0}}while(0);_I(j);i=0;while(1){if((i|0)>=(b|0))break;_I(c[m+(i<<4)+4>>2]|0);i=i+1|0}_I(m);zx(k);_I(q);if(0>1){i=0;while(1){if((i|0)>=(b|0))break a;C=c[g+(i<<3)>>2]|0;D=c[g+(i<<3)+4>>2]|0;c[F>>2]=i;c[F+4>>2]=C;c[F+8>>2]=D;zL(E,84320,F)|0;i=i+1|0}}}else g=0}else g=0;while(0);l=G;return g|0}function Ns(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0.0,j=0,k=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0;z=l;l=l+16|0;g=z;x=vw(a<<3)|0;f=c[d+4>>2]|0;y=d+28|0;e=(f|0)>0;do if(!(c[y>>2]&1))if(e){k=1;w=(a+-1+f|0)/(f|0)|0;break}else{f=~~+N(+(+C(+(+(a|0)))));k=1;w=(a+-1+f|0)/(f|0)|0;break}else if(e){k=0;w=f;f=(a+-1+f|0)/(f|0)|0;break}else{f=~~+N(+(+C(+(+(a|0)))));k=0;w=f;f=(a+-1+f|0)/(f|0)|0;break}while(0);if(0){v=c[13918]|0;c[g>>2]=k|0?84215:84225;c[g+4>>2]=w;c[g+8>>2]=f;zL(v,84238,g)|0}t=vw((f<<3)+8|0)|0;u=vw((w<<3)+8|0)|0;v=vw(a*24|0)|0;j=d+8|0;e=0;g=v;while(1){if((e|0)>=(a|0))break;p=+h[b+(e<<5)+8>>3];o=+h[b+(e<<5)+24>>3];q=+((c[j>>2]|0)>>>0);h[g>>3]=+h[b+(e<<5)+16>>3]-+h[b+(e<<5)>>3]+q;h[g+8>>3]=o-p+q;c[g+16>>2]=e;e=e+1|0;g=g+24|0}s=vw(a<<2)|0;e=0;while(1){if((e|0)>=(a|0))break;c[s+(e<<2)>>2]=v+(e*24|0);e=e+1|0}e=c[d+24>>2]|0;if(!e){if(!(c[y>>2]&64))rL(s,a,4,25)}else{c[42101]=e;rL(s,a,4,24)}r=(k|0)==0;e=0;g=0;j=0;while(1){if((j|0)>=(a|0)){i=0.0;e=0;break}k=c[s+(j<<2)>>2]|0;d=t+(g<<3)|0;q=+h[d>>3];p=+h[k>>3];h[d>>3]=q>p?q:p;d=u+(e<<3)|0;p=+h[d>>3];q=+h[k+8>>3];h[d>>3]=p>q?p:q;if(r){e=e+1|0;d=(e|0)==(w|0);e=d?0:e;g=g+(d&1)|0}else{g=g+1|0;d=(g|0)==(f|0);e=e+(d&1)|0;g=d?0:g}j=j+1|0}while(1){if((e|0)>(f|0)){i=0.0;e=w;break}d=t+(e<<3)|0;q=+h[d>>3];h[d>>3]=i;i=q+i;e=e+1|0}while(1){if((e|0)<=0)break;d=e+-1|0;q=+h[u+(d<<3)>>3];h[u+(e<<3)>>3]=i;i=q+i;e=d}h[u>>3]=i;e=0;g=0;d=0;while(1){if((d|0)>=(a|0))break;k=c[(c[s+(d<<2)>>2]|0)+16>>2]|0;i=+h[b+(k<<5)>>3];m=-i;p=+h[b+(k<<5)+8>>3];q=-p;n=+h[b+(k<<5)+16>>3];o=+h[b+(k<<5)+24>>3];j=c[y>>2]|0;do if(!(j&4))if(!(j&8)){i=(m-n+ +h[t+(g<<3)>>3]+ +h[t+(g+1<<3)>>3])*.5;break}else{i=i-n+ +h[t+(g+1<<3)>>3];break}else i=+h[t+(g<<3)>>3];while(0);c[x+(k<<3)>>2]=~~i;do if(!(j&16))if(!(j&32)){i=(q-o+ +h[u+(e<<3)>>3]+ +h[u+(e+1<<3)>>3])*.5;break}else{i=+h[u+(e+1<<3)>>3];break}else i=p-o+ +h[u+(e<<3)>>3];while(0);c[x+(k<<3)+4>>2]=~~i;if(r){e=e+1|0;k=(e|0)==(w|0);e=k?0:e;g=g+(k&1)|0}else{g=g+1|0;k=(g|0)==(f|0);e=e+(k&1)|0;g=k?0:g}d=d+1|0}_I(v);_I(s);_I(t);_I(u);l=z;return x|0}function Os(a,b){a=a|0;b=b|0;var d=0;d=c[42101]|0;a=c[d+(c[(c[a>>2]|0)+16>>2]<<2)>>2]|0;b=c[d+(c[(c[b>>2]|0)+16>>2]<<2)>>2]|0;return ((a|0)>(b|0)?1:((a|0)<(b|0))<<31>>31)|0}function Ps(a,b){a=a|0;b=b|0;var d=0.0,e=0.0;a=c[a>>2]|0;b=c[b>>2]|0;e=+h[a>>3]+ +h[a+8>>3];d=+h[b>>3]+ +h[b+8>>3];return (e<d?1:(e>d)<<31>>31)|0}function Qs(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0.0,g=0.0,i=0.0,j=0.0,k=0,m=0,n=0.0,o=0.0,p=0,q=0,r=0,s=0;s=l;l=l+96|0;q=s+80|0;r=s+48|0;p=s+8|0;m=s;k=(a*100|0)+-1|0;e=+(d<<1|0);n=0.0;o=0.0;d=0;while(1){if((d|0)>=(a|0))break;j=+h[b+(d<<5)+16>>3]-+h[b+(d<<5)>>3]+e;i=+h[b+(d<<5)+24>>3]-+h[b+(d<<5)+8>>3]+e;n=n-j-i;o=o-i*j;d=d+1|0}i=+(k|0);j=n*n-i*4.0*o;if(!(j<0.0)){e=+C(+j);g=i*2.0;f=(e-n)/g;g=(-n-e)/g;d=~~f;d=(d|0)==0?1:d;if(0>2){m=c[13918]|0;XL(84463,27,1,m)|0;h[p>>3]=i;h[p+8>>3]=n;h[p+16>>3]=o;h[p+24>>3]=j;h[p+32>>3]=e;zL(m,84491,p)|0;c[r>>2]=d;h[r+8>>3]=f;c[r+16>>2]=~~g;h[r+24>>3]=g;zL(m,84517,r)|0;h[q>>3]=(f*i+n)*f+o;h[q+8>>3]=(g*i+n)*g+o;zL(m,84539,q)|0}}else{h[m>>3]=j;_l(1,84436,m)|0;d=-1}l=s;return d|0}function Rs(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0.0,w=0.0;u=l;l=l+32|0;t=u+16|0;s=u;p=+h[a>>3];q=+h[a+8>>3];n=+h[a+16>>3];o=+h[a+24>>3];r=wx()|0;j=c[f>>2]|0;a=j-e|0;k=c[f+4>>2]|0;i=k-e|0;j=e-~~(p+(p>=0.0?.5:-.5))+j+~~(n+(n>=0.0?.5:-.5))|0;k=e-~~(q+(q>=0.0?.5:-.5))+k+~~(o+(o>=0.0?.5:-.5))|0;if((a|0)>-1)f=(a|0)/(d|0)|0;else f=((a+1|0)/(d|0)|0)+-1|0;if((i|0)>-1)m=(i|0)/(d|0)|0;else m=((i+1|0)/(d|0)|0)+-1|0;if((j|0)>-1)j=(j|0)/(d|0)|0;else j=((j+1|0)/(d|0)|0)+-1|0;if((k|0)>-1)i=(k|0)/(d|0)|0;else i=((k+1|0)/(d|0)|0)+-1|0;while(1){if((f|0)>(j|0))break;else a=m;while(1){if((a|0)>(i|0))break;Cx(r,f,a);a=a+1|0}f=f+1|0}k=b+4|0;c[k>>2]=Gx(r)|0;j=Fx(r)|0;m=b+8|0;c[m>>2]=j;w=+(e<<1|0);v=+(d|0);i=~~+N(+((n+w-p)/v));a=~~+N(+((o+w-q)/v));c[b>>2]=a+i;a:do if(0>2){f=c[13918]|0;c[s>>2]=g;c[s+4>>2]=j;c[s+8>>2]=i;c[s+12>>2]=a;zL(f,84395,s)|0;a=0;while(1){if((a|0)>=(c[m>>2]|0))break a;g=c[k>>2]|0;s=c[g+(a<<3)+4>>2]|0;c[t>>2]=c[g+(a<<3)>>2];c[t+4>>2]=s;zL(f,84422,t)|0;a=a+1|0}}while(0);zx(r);l=u;return}function Ss(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0.0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,O=0,P=0,Q=0.0,R=0.0;P=l;l=l+128|0;F=P+112|0;E=P+104|0;O=P+16|0;M=P;H=P+64|0;I=P+56|0;z=P+40|0;A=P+96|0;y=P+88|0;v=P+24|0;w=P+80|0;x=P+72|0;K=c[f+8>>2]|0;G=c[f+12>>2]|0;C=(a|0)==0?b:a;L=wx()|0;J=b+16|0;B=c[J>>2]|0;t=+h[B+16>>3];D=(c[g>>2]|0)-~~(t+(t>=0.0?.5:-.5))|0;t=+h[B+24>>3];B=(c[g+4>>2]|0)-~~(t+(t>=0.0?.5:-.5))|0;a:do if((c[f+16>>2]|0)==1){v=ww((mn(b)|0)<<2)|0;a=0;g=co(b)|0;while(1){if(!g)break;x=g+16|0;c[v+(a<<2)>>2]=c[(c[x>>2]|0)+112>>2];c[(c[x>>2]|0)+112>>2]=0;a=a+1|0;g=eo(b,g)|0}o=D-K|0;p=B-K|0;q=D+K|0;r=B+K|0;n=1;while(1){a=c[J>>2]|0;if((n|0)>(c[a+180>>2]|0))break;m=c[(c[a+184>>2]|0)+(n<<2)>>2]|0;i=c[m+16>>2]|0;t=+h[i+16>>3];a=~~(t+(t>=0.0?.5:-.5));t=+h[i+24>>3];g=~~(t+(t>=0.0?.5:-.5));t=+h[i+32>>3];f=~~(t+(t>=0.0?.5:-.5));t=+h[i+40>>3];i=~~(t+(t>=0.0?.5:-.5));b:do if((f|0)>(a|0)&(i|0)>(g|0)){a=o+a|0;j=p+g|0;f=q+f|0;k=r+i|0;if((a|0)>-1)g=(a|0)/(e|0)|0;else g=((a+1|0)/(e|0)|0)+-1|0;if((j|0)>-1)j=(j|0)/(e|0)|0;else j=((j+1|0)/(e|0)|0)+-1|0;if((f|0)>-1)i=(f|0)/(e|0)|0;else i=((f+1|0)/(e|0)|0)+-1|0;if((k|0)>-1)f=(k|0)/(e|0)|0;else f=((k+1|0)/(e|0)|0)+-1|0;while(1){if((g|0)>(i|0))break;else a=j;while(1){if((a|0)>(f|0))break;Cx(L,g,a);a=a+1|0}g=g+1|0}a=co(m)|0;while(1){if(!a)break b;c[(c[a+16>>2]|0)+212>>2]=m;a=eo(m,a)|0}}while(0);n=n+1|0}r=z+8|0;s=H+4|0;t=+(K|0);u=I+4|0;q=A+4|0;p=y+4|0;o=co(b)|0;while(1){if(!o)break;OA(z,o);R=+h[z>>3];Q=+h[r>>3];m=D+~~(R+(R>=0.0?.5:-.5))|0;c[H>>2]=m;n=B+~~(Q+(Q>=0.0?.5:-.5))|0;c[s>>2]=n;g=o+16|0;a=c[g>>2]|0;c:do if(!(c[a+212>>2]|0)){c[I>>2]=~~((+h[a+96>>3]+ +h[a+88>>3])*.5+t);c[u>>2]=~~(+h[a+80>>3]*.5+t);c[E>>2]=c[H>>2];c[E+4>>2]=c[H+4>>2];c[F>>2]=c[I>>2];c[F+4>>2]=c[I+4>>2];Xs(A,E,F);a=c[A>>2]|0;f=c[q>>2]|0;c[E>>2]=c[H>>2];c[E+4>>2]=c[H+4>>2];c[F>>2]=c[I>>2];c[F+4>>2]=c[I+4>>2];Ys(y,E,F);i=c[y>>2]|0;j=c[p>>2]|0;if((a|0)>-1)g=(a|0)/(e|0)|0;else g=((a+1|0)/(e|0)|0)+-1|0;if((f|0)>-1)k=(f|0)/(e|0)|0;else k=((f+1|0)/(e|0)|0)+-1|0;if((i|0)>-1)i=(i|0)/(e|0)|0;else i=((i+1|0)/(e|0)|0)+-1|0;if((j|0)>-1)f=(j|0)/(e|0)|0;else f=((j+1|0)/(e|0)|0)+-1|0;while(1){if((g|0)>(i|0))break;else a=k;while(1){if((a|0)>(f|0))break;Cx(L,g,a);a=a+1|0}g=g+1|0}if((m|0)>-1)a=(m|0)/(e|0)|0;else a=((m+1|0)/(e|0)|0)+-1|0;c[H>>2]=a;if((n|0)>-1)a=(n|0)/(e|0)|0;else a=((n+1|0)/(e|0)|0)+-1|0;c[s>>2]=a;a=Pm(C,o)|0;while(1){if(!a)break c;c[F>>2]=c[H>>2];c[F+4>>2]=c[H+4>>2];Zs(a,F,L,D,B,e,G);a=Rm(C,a)|0}}else{if((m|0)>-1)a=(m|0)/(e|0)|0;else a=((m+1|0)/(e|0)|0)+-1|0;c[H>>2]=a;if((n|0)>-1)a=(n|0)/(e|0)|0;else a=((n+1|0)/(e|0)|0)+-1|0;c[s>>2]=a;a=Pm(C,o)|0;while(1){if(!a)break c;if((c[(c[g>>2]|0)+212>>2]|0)!=(c[(c[(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0)){c[F>>2]=c[H>>2];c[F+4>>2]=c[H+4>>2];Zs(a,F,L,D,B,e,G)}a=Rm(C,a)|0}}while(0);o=eo(b,o)|0}a=0;g=co(b)|0;while(1){if(!g)break;c[(c[g+16>>2]|0)+112>>2]=c[v+(a<<2)>>2];a=a+1|0;g=eo(b,g)|0}_I(v)}else{r=v+8|0;s=H+4|0;t=+(K|0);u=I+4|0;q=w+4|0;p=x+4|0;o=co(b)|0;while(1){if(!o)break a;OA(v,o);Q=+h[v>>3];R=+h[r>>3];m=D+~~(Q+(Q>=0.0?.5:-.5))|0;c[H>>2]=m;n=B+~~(R+(R>=0.0?.5:-.5))|0;c[s>>2]=n;a=c[o+16>>2]|0;c[I>>2]=~~((+h[a+96>>3]+ +h[a+88>>3])*.5+t);c[u>>2]=~~(+h[a+80>>3]*.5+t);c[E>>2]=c[H>>2];c[E+4>>2]=c[H+4>>2];c[F>>2]=c[I>>2];c[F+4>>2]=c[I+4>>2];Xs(w,E,F);a=c[w>>2]|0;f=c[q>>2]|0;c[E>>2]=c[H>>2];c[E+4>>2]=c[H+4>>2];c[F>>2]=c[I>>2];c[F+4>>2]=c[I+4>>2];Ys(x,E,F);i=c[x>>2]|0;j=c[p>>2]|0;if((a|0)>-1)g=(a|0)/(e|0)|0;else g=((a+1|0)/(e|0)|0)+-1|0;if((f|0)>-1)k=(f|0)/(e|0)|0;else k=((f+1|0)/(e|0)|0)+-1|0;if((i|0)>-1)i=(i|0)/(e|0)|0;else i=((i+1|0)/(e|0)|0)+-1|0;if((j|0)>-1)f=(j|0)/(e|0)|0;else f=((j+1|0)/(e|0)|0)+-1|0;while(1){if((g|0)>(i|0))break;else a=k;while(1){if((a|0)>(f|0))break;Cx(L,g,a);a=a+1|0}g=g+1|0}if((m|0)>-1)a=(m|0)/(e|0)|0;else a=((m+1|0)/(e|0)|0)+-1|0;c[H>>2]=a;if((n|0)>-1)a=(n|0)/(e|0)|0;else a=((n+1|0)/(e|0)|0)+-1|0;c[s>>2]=a;a=Pm(C,o)|0;while(1){if(!a)break;c[F>>2]=c[H>>2];c[F+4>>2]=c[H+4>>2];Zs(a,F,L,D,B,e,G);a=Rm(C,a)|0}o=eo(b,o)|0}}while(0);i=d+4|0;c[i>>2]=Gx(L)|0;j=d+8|0;c[j>>2]=Fx(L)|0;g=c[J>>2]|0;Q=+(K<<1|0);R=+(e|0);a=~~+N(+((+h[g+32>>3]+Q-+h[g+16>>3])/R));g=~~+N(+((+h[g+40>>3]+Q-+h[g+24>>3])/R));c[d>>2]=g+a;d:do if(0>2){f=c[13918]|0;d=Dn(b)|0;b=c[j>>2]|0;c[M>>2]=d;c[M+4>>2]=b;c[M+8>>2]=a;c[M+12>>2]=g;zL(f,84395,M)|0;a=0;while(1){if((a|0)>=(c[j>>2]|0))break d;b=c[i>>2]|0;M=c[b+(a<<3)+4>>2]|0;c[O>>2]=c[b+(a<<3)>>2];c[O+4>>2]=M;zL(f,84422,O)|0;a=a+1|0}}while(0);zx(L);l=P;return}function Ts(a,b){a=a|0;b=b|0;return (c[c[b>>2]>>2]|0)-(c[c[a>>2]>>2]|0)|0}function Us(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;j=l;l=l+32|0;h=j+16|0;i=j;k=c[a+4>>2]|0;g=c[a+8>>2]|0;c[d>>2]=0-(c[e>>2]|0);f=d+4|0;c[f>>2]=0-(c[e+4>>2]|0);a=0;e=k;while(1){if((a|0)>=(g|0))break;c[h>>2]=c[e>>2];c[h+4>>2]=c[e+4>>2];Ax(b,h);a=a+1|0;e=e+8|0}if(0>1){k=c[13918]|0;b=c[d>>2]|0;d=c[f>>2]|0;c[i>>2]=g;c[i+4>>2]=b;c[i+8>>2]=d;zL(k,84369,i)|0}l=j;return}function Vs(a,b,d,e,f,g,i){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0,l=0.0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0;k=c[b+12>>2]|0;l=+h[i+(k<<5)>>3];m=+h[i+(k<<5)+8>>3];n=+h[i+(k<<5)+16>>3];o=+h[i+(k<<5)+24>>3];if(!((a|0)==0?(q=+(g<<1|0),p=+(f|0),(Ws((~~+N(+((q-l+n)/p))|0)/-2|0,(~~+N(+((q-m+o)/p))|0)/-2|0,b,d,e,f,i)|0)!=0):0))j=3;a:do if((j|0)==3?(Ws(0,0,b,d,e,f,i)|0)==0:0)if((~~+N(+(n-l))|0)<(~~+N(+(o-m))|0)){k=1;while(1){j=0-k|0;a=0;while(1){if((a|0)<=(j|0)){g=j;break}if(Ws(j,a,b,d,e,f,i)|0)break a;a=a+-1|0}while(1){if((g|0)>=(k|0))break;if(Ws(g,a,b,d,e,f,i)|0)break a;g=g+1|0}while(1){if((a|0)>=(k|0))break;if(Ws(g,a,b,d,e,f,i)|0)break a;a=a+1|0}while(1){if((g|0)<=(j|0))break;if(Ws(g,a,b,d,e,f,i)|0)break a;g=g+-1|0}while(1){if((a|0)<=0)break;if(!(Ws(g,a,b,d,e,f,i)|0))a=a+-1|0;else break a}k=k+1|0}}else{k=1;while(1){j=0-k|0;a=0;while(1){if((a|0)>=(k|0)){g=j;break}if(Ws(a,j,b,d,e,f,i)|0)break a;a=a+1|0}while(1){if((g|0)>=(k|0))break;if(Ws(a,g,b,d,e,f,i)|0)break a;g=g+1|0}while(1){if((a|0)<=(j|0))break;if(Ws(a,g,b,d,e,f,i)|0)break a;a=a+-1|0}while(1){if((g|0)<=(j|0))break;if(Ws(a,g,b,d,e,f,i)|0)break a;g=g+-1|0}while(1){if((a|0)>=0)break;if(!(Ws(a,g,b,d,e,f,i)|0))a=a+1|0;else break a}k=k+1|0}}while(0);return}function Ws(a,b,d,e,f,g,i){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0.0,x=0.0;t=l;l=l+48|0;r=t+32|0;s=t+8|0;q=t;m=d+4|0;o=c[d+8>>2]|0;p=q+4|0;j=c[m>>2]|0;k=0;while(1){if((k|0)>=(o|0)){n=5;break}v=j;u=c[v+4>>2]|0;c[q>>2]=(c[v>>2]|0)+a;c[p>>2]=u+b;c[r>>2]=c[q>>2];c[r+4>>2]=c[q+4>>2];if(Dx(e,r)|0){j=0;break}j=j+8|0;k=k+1|0}if((n|0)==5){d=c[d+12>>2]|0;x=+h[i+(d<<5)>>3];w=+h[i+(d<<5)+8>>3];c[f>>2]=(O(g,a)|0)-~~(x+(x>=0.0?.5:-.5));d=f+4|0;c[d>>2]=(O(g,b)|0)-~~(w+(w>=0.0?.5:-.5));j=c[m>>2]|0;k=0;while(1){if((k|0)>=(o|0))break;u=j;v=c[u+4>>2]|0;c[q>>2]=(c[u>>2]|0)+a;c[p>>2]=v+b;c[r>>2]=c[q>>2];c[r+4>>2]=c[q+4>>2];Ax(e,r);j=j+8|0;k=k+1|0}if(0>1){j=c[13918]|0;u=c[f>>2]|0;v=c[d>>2]|0;c[s>>2]=o;c[s+4>>2]=a;c[s+8>>2]=b;c[s+12>>2]=u;c[s+16>>2]=v;zL(j,84335,s)|0;j=1}else j=1}l=t;return j|0}function Xs(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=(c[b+4>>2]|0)-(c[d+4>>2]|0)|0;c[a>>2]=(c[b>>2]|0)-(c[d>>2]|0);c[a+4>>2]=e;return}function Ys(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=(c[d+4>>2]|0)+(c[b+4>>2]|0)|0;c[a>>2]=(c[d>>2]|0)+(c[b>>2]|0);c[a+4>>2]=e;return}function Zs(a,b,d,e,f,g,i){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0.0,k=0.0,m=0,n=0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0;A=l;l=l+112|0;x=A+96|0;w=A+80|0;r=A+48|0;s=A+32|0;y=A+16|0;z=A;n=A+64|0;h[y>>3]=+(c[b>>2]|0);t=y+8|0;h[t>>3]=+(c[b+4>>2]|0);a:do if((i|0)!=0?(u=a+16|0,m=c[(c[u>>2]|0)+8>>2]|0,(m|0)!=0):0){q=+(e|0);p=+(f|0);o=1.0/+(g|0);n=z+8|0;i=0;while(1){if((i|0)>=(c[m+4>>2]|0))break a;f=c[m>>2]|0;a=c[f+(i*48|0)>>2]|0;b=c[f+(i*48|0)+4>>2]|0;g=c[f+(i*48|0)+8>>2]|0;e=c[f+(i*48|0)+12>>2]|0;m=f+(i*48|0)+16|0;c[r>>2]=c[m>>2];c[r+4>>2]=c[m+4>>2];c[r+8>>2]=c[m+8>>2];c[r+12>>2]=c[m+12>>2];f=f+(i*48|0)+32|0;c[s>>2]=c[f>>2];c[s+4>>2]=c[f+4>>2];c[s+8>>2]=c[f+8>>2];c[s+12>>2]=c[f+12>>2];if(!g){c[y>>2]=c[a>>2];c[y+4>>2]=c[a+4>>2];c[y+8>>2]=c[a+8>>2];c[y+12>>2]=c[a+12>>2];m=a+16|0;c[z>>2]=c[m>>2];c[z+4>>2]=c[m+4>>2];c[z+8>>2]=c[m+8>>2];c[z+12>>2]=c[m+12>>2];m=2}else{c[y>>2]=c[r>>2];c[y+4>>2]=c[r+4>>2];c[y+8>>2]=c[r+8>>2];c[y+12>>2]=c[r+12>>2];c[z>>2]=c[a>>2];c[z+4>>2]=c[a+4>>2];c[z+8>>2]=c[a+8>>2];c[z+12>>2]=c[a+12>>2];m=1}j=+h[y>>3]+q;h[y>>3]=j;k=+h[t>>3]+p;h[t>>3]=k;if(!(j>=0.0))j=(j+1.0)*o+-1.0;else j=j*o;h[y>>3]=j;if(!(k>=0.0))j=(k+1.0)*o+-1.0;else j=k*o;h[t>>3]=j;j=+h[z>>3]+q;h[z>>3]=j;k=+h[n>>3]+p;h[n>>3]=k;if(!(j>=0.0))j=(j+1.0)*o+-1.0;else j=j*o;h[z>>3]=j;if(!(k>=0.0))j=(k+1.0)*o+-1.0;else j=k*o;h[n>>3]=j;c[w>>2]=c[y>>2];c[w+4>>2]=c[y+4>>2];c[w+8>>2]=c[y+8>>2];c[w+12>>2]=c[y+12>>2];c[x>>2]=c[z>>2];c[x+4>>2]=c[z+4>>2];c[x+8>>2]=c[z+8>>2];c[x+12>>2]=c[z+12>>2];Ks(w,x,d);while(1){if((m|0)>=(b|0))break;c[y>>2]=c[z>>2];c[y+4>>2]=c[z+4>>2];c[y+8>>2]=c[z+8>>2];c[y+12>>2]=c[z+12>>2];g=a+(m<<4)|0;c[z>>2]=c[g>>2];c[z+4>>2]=c[g+4>>2];c[z+8>>2]=c[g+8>>2];c[z+12>>2]=c[g+12>>2];j=+h[z>>3]+q;h[z>>3]=j;k=+h[n>>3]+p;h[n>>3]=k;if(!(j>=0.0))j=(j+1.0)*o+-1.0;else j=j*o;h[z>>3]=j;if(!(k>=0.0))j=(k+1.0)*o+-1.0;else j=k*o;h[n>>3]=j;c[w>>2]=c[y>>2];c[w+4>>2]=c[y+4>>2];c[w+8>>2]=c[y+8>>2];c[w+12>>2]=c[y+12>>2];c[x>>2]=c[z>>2];c[x+4>>2]=c[z+4>>2];c[x+8>>2]=c[z+8>>2];c[x+12>>2]=c[z+12>>2];Ks(w,x,d);m=m+1|0}if(e|0){c[y>>2]=c[z>>2];c[y+4>>2]=c[z+4>>2];c[y+8>>2]=c[z+8>>2];c[y+12>>2]=c[z+12>>2];c[z>>2]=c[s>>2];c[z+4>>2]=c[s+4>>2];c[z+8>>2]=c[s+8>>2];c[z+12>>2]=c[s+12>>2];j=+h[z>>3]+q;h[z>>3]=j;k=+h[n>>3]+p;h[n>>3]=k;if(!(j>=0.0))j=(j+1.0)*o+-1.0;else j=j*o;h[z>>3]=j;if(!(k>=0.0))j=(k+1.0)*o+-1.0;else j=k*o;h[n>>3]=j;c[w>>2]=c[y>>2];c[w+4>>2]=c[y+4>>2];c[w+8>>2]=c[y+8>>2];c[w+12>>2]=c[y+12>>2];c[x>>2]=c[z>>2];c[x+4>>2]=c[z+4>>2];c[x+8>>2]=c[z+8>>2];c[x+12>>2]=c[z+12>>2];Ks(w,x,d)}i=i+1|0;m=c[(c[u>>2]|0)+8>>2]|0}}else v=4;while(0);if((v|0)==4){OA(n,c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0);c[z>>2]=c[n>>2];c[z+4>>2]=c[n+4>>2];c[z+8>>2]=c[n+8>>2];c[z+12>>2]=c[n+12>>2];j=+h[z>>3]+ +(e|0);h[z>>3]=j;m=z+8|0;k=+h[m>>3]+ +(f|0);h[m>>3]=k;if(!(j>=0.0))j=(j+1.0)/+(g|0)+-1.0;else j=j/+(g|0);h[z>>3]=j;if(!(k>=0.0))j=(k+1.0)/+(g|0)+-1.0;else j=k/+(g|0);h[m>>3]=j;c[w>>2]=c[y>>2];c[w+4>>2]=c[y+4>>2];c[w+8>>2]=c[y+8>>2];c[w+12>>2]=c[y+12>>2];c[x>>2]=c[z>>2];c[x+4>>2]=c[z+4>>2];c[x+8>>2]=c[z+8>>2];c[x+12>>2]=c[z+12>>2];Ks(w,x,d)}l=A;return}function _s(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,l=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0,r=0,s=0,t=0;a:do if((a|0)<1)f=0-a|0;else{s=(e|0)==0;q=(f|0)==0;j=0;while(1){if((j|0)==(a|0)){f=0;break a}r=c[b+(j<<2)>>2]|0;g=s?r:e;k=c[d+(j<<3)>>2]|0;l=c[d+(j<<3)+4>>2]|0;m=+(k|0);n=m*.013888888888888888;o=+(l|0);p=o*.013888888888888888;i=co(r)|0;while(1){if(!i)break;f=c[i+16>>2]|0;t=c[f+132>>2]|0;h[t>>3]=+h[t>>3]+n;t=t+8|0;h[t>>3]=+h[t>>3]+p;t=f+16|0;h[t>>3]=+h[t>>3]+m;t=f+24|0;h[t>>3]=+h[t>>3]+o;f=c[f+108>>2]|0;if(f|0){t=f+56|0;h[t>>3]=+h[t>>3]+m;t=f+64|0;h[t>>3]=+h[t>>3]+o}b:do if(!q){f=Pm(g,i)|0;while(1){if(!f)break b;$s(f,k,l);f=Rm(g,f)|0}}while(0);i=eo(r,i)|0}at(r,k,l);j=j+1|0}}while(0);return f|0}function $s(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0.0,k=0,l=0.0,m=0,n=0;e=c[a+16>>2]|0;a=c[e+96>>2]|0;if(a|0){m=a+56|0;h[m>>3]=+h[m>>3]+ +(b|0);m=a+64|0;h[m>>3]=+h[m>>3]+ +(d|0)}a=c[e+108>>2]|0;if(a|0){m=a+56|0;h[m>>3]=+h[m>>3]+ +(b|0);m=a+64|0;h[m>>3]=+h[m>>3]+ +(d|0)}a=c[e+100>>2]|0;if(a|0){m=a+56|0;h[m>>3]=+h[m>>3]+ +(b|0);m=a+64|0;h[m>>3]=+h[m>>3]+ +(d|0)}a=c[e+104>>2]|0;if(a|0){m=a+56|0;h[m>>3]=+h[m>>3]+ +(b|0);m=a+64|0;h[m>>3]=+h[m>>3]+ +(d|0)}m=c[e+8>>2]|0;a:do if(m|0){l=+(b|0);j=+(d|0);b=c[m+4>>2]|0;a=0;while(1){if((a|0)>=(b|0))break a;k=c[m>>2]|0;d=c[k+(a*48|0)>>2]|0;f=c[k+(a*48|0)+4>>2]|0;g=c[k+(a*48|0)+8>>2]|0;i=c[k+(a*48|0)+12>>2]|0;e=0;while(1){if((e|0)>=(f|0))break;n=d+(e<<4)|0;h[n>>3]=+h[n>>3]+l;n=d+(e<<4)+8|0;h[n>>3]=+h[n>>3]+j;e=e+1|0}if(g|0){n=k+(a*48|0)+16|0;h[n>>3]=+h[n>>3]+l;n=k+(a*48|0)+24|0;h[n>>3]=+h[n>>3]+j}if(i|0){n=k+(a*48|0)+32|0;h[n>>3]=+h[n>>3]+l;n=k+(a*48|0)+40|0;h[n>>3]=+h[n>>3]+j}a=a+1|0}}while(0);return}function at(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0,k=0.0,l=0.0,m=0,n=0.0,o=0;j=b+16|0;b=c[j>>2]|0;o=b+16|0;m=b+24|0;f=b+32|0;b=b+40|0;g=+(d|0);l=+h[f>>3]+g;i=+(e|0);n=+h[m>>3]+i;k=+h[b>>3]+i;h[o>>3]=+h[o>>3]+g;h[m>>3]=n;h[f>>3]=l;h[b>>3]=k;b=c[j>>2]|0;f=c[b+12>>2]|0;if((f|0)!=0?(a[f+81>>0]|0)!=0:0){o=f+56|0;h[o>>3]=+h[o>>3]+g;f=f+64|0;h[f>>3]=+h[f>>3]+i;f=1}else f=1;while(1){if((f|0)>(c[b+180>>2]|0))break;at(c[(c[b+184>>2]|0)+(f<<2)>>2]|0,d,e);f=f+1|0;b=c[j>>2]|0}return}function bt(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;f=Ls(a,b,d,e)|0;if(!f)a=1;else{a=_s(a,b,f,d,c[e+12>>2]|0)|0;_I(f)}return a|0}function ct(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0;p=l;l=l+32|0;o=p;n=bt(a,b,d,e)|0;if(!n){dB(d);m=(c[d+16>>2]|0)+16|0;c[o>>2]=c[m>>2];c[o+4>>2]=c[m+4>>2];c[o+8>>2]=c[m+8>>2];c[o+12>>2]=c[m+12>>2];c[o+16>>2]=c[m+16>>2];c[o+20>>2]=c[m+20>>2];c[o+24>>2]=c[m+24>>2];c[o+28>>2]=c[m+28>>2];f=o+8|0;g=o+16|0;i=o+24|0;e=0;while(1){if((e|0)>=(a|0))break;k=c[(c[b+(e<<2)>>2]|0)+16>>2]|0;j=c[k+180>>2]|0;k=k+184|0;d=1;while(1){if((d|0)>(j|0))break;r=(c[(c[(c[k>>2]|0)+(d<<2)>>2]|0)+16>>2]|0)+16|0;h[o>>3]=+h[(+h[o>>3]<+h[r>>3]?o:r)>>3];r=c[(c[(c[k>>2]|0)+(d<<2)>>2]|0)+16>>2]|0;q=r+16|0;h[f>>3]=+h[(+h[f>>3]<+h[r+24>>3]?o:q)+8>>3];h[g>>3]=+h[(+h[g>>3]>+h[r+32>>3]?o:q)+16>>3];h[i>>3]=+h[(+h[i>>3]>+h[r+40>>3]?o:q)+24>>3];d=d+1|0}e=e+1|0}c[m>>2]=c[o>>2];c[m+4>>2]=c[o+4>>2];c[m+8>>2]=c[o+8>>2];c[m+12>>2]=c[o+12>>2];c[m+16>>2]=c[o+16>>2];c[m+20>>2]=c[o+20>>2];c[m+24>>2]=c[o+24>>2];c[m+28>>2]=c[o+28>>2]}l=p;return n|0}function dt(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;g=l;l=l+16|0;f=g;if(!e)ma(84553,84559,1400,84566);d=et(a,d,d)|0;c[e+8>>2]=d;if(0){h=c[13918]|0;c[f>>2]=d;zL(h,84578,f)|0}c[e+12>>2]=0;c[e+20>>2]=0;ft(a,b,e)|0;l=g;return c[e+16>>2]|0}function et(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;i=l;l=l+16|0;h=i;f=i+4|0;g=Im(b,84708)|0;a:do if(g){c[h>>2]=f;h=(cM(g,122187,h)|0)==1;b=c[f>>2]|0;if(h&(b|0)>-1)d=b;else{switch(a[g>>0]|0){case 84:case 116:break;default:break a}d=e}}while(0);l=i;return d|0}function ft(a,b,c){a=a|0;b=b|0;c=c|0;return gt(Im(a,84591)|0,b,c)|0}function gt(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0.0;u=l;l=l+64|0;r=u+40|0;q=u+32|0;t=u+24|0;s=u+16|0;m=u+8|0;k=u;i=u+48|0;j=u+44|0;if(!e)ma(84553,84559,1292,84600);o=e+28|0;c[o>>2]=0;p=e+16|0;c[p>>2]=d;n=e+4|0;c[n>>2]=0;c[e+24>>2]=0;a:do if(b|0?(f=a[b>>0]|0,f<<24>>24):0)switch(f<<24>>24|0){case 97:if(!(VJ(b,84618,5)|0)){c[p>>2]=4;m=ht(b+5|0,e)|0;c[k>>2]=j;m=(cM(m,122187,k)|0)>0;d=c[j>>2]|0;if(!(m&(d|0)>0))break a;c[n>>2]=d;break a}else{if(VJ(b,84624,6)|0)break a;c[p>>2]=5;c[m>>2]=i;m=(cM(b+5|0,84631,m)|0)>0;v=+g[i>>2];g[e>>2]=m&v>0.0?v:1.0;break a}case 99:{if(f<<24>>24!=99)break a;if(xJ(b,93039)|0)break a;c[p>>2]=1;break a}case 103:{if(f<<24>>24!=103)break a;if(xJ(b,96286)|0)break a;c[p>>2]=3;break a}case 110:{if(f<<24>>24!=110)break a;if(xJ(b,96273)|0)break a;c[p>>2]=2;break a}default:break a}while(0);if(0){d=c[13918]|0;XL(84634,11,1,d)|0;c[s>>2]=it(c[p>>2]|0)|0;zL(d,84646,s)|0;if((c[p>>2]|0)==5){h[t>>3]=+g[e>>2];zL(d,84659,t)|0}c[q>>2]=c[n>>2];zL(d,84672,q)|0;c[r>>2]=c[o>>2];zL(d,84685,r)|0}l=u;return c[p>>2]|0}function ht(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;a:do if((a[b>>0]|0)==95){f=d+28|0;e=1;while(1){b=b+1|0;b:while(1){if(!e)break a;d=a[b>>0]|0;if(!(d<<24>>24))break a;switch(d<<24>>24|0){case 99:{g=10;break b}case 105:{g=9;break b}case 117:{g=11;break b}case 116:{g=12;break b}case 98:{d=32;break b}case 108:{g=7;break b}case 114:{g=8;break b}default:e=0}}if((g|0)==7){g=0;d=4}else if((g|0)==8){g=0;d=8}else if((g|0)==9){g=0;d=64}else if((g|0)==10){g=0;d=1}else if((g|0)==11){g=0;d=2}else if((g|0)==12){g=0;d=16}c[f>>2]=c[f>>2]|d}}while(0);return b|0}function it(a){a=a|0;switch(a|0){case 1:{a=93039;break}case 2:{a=96273;break}case 3:{a=96286;break}case 4:{a=84618;break}case 5:{a=84624;break}default:a=84698}return a|0}function jt(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+96|0;k=n;m=n+80|0;do if(a){if(!e){e=$I(1,20)|0;c[e+4>>2]=d>>>0>80?d:80}d=c[e>>2]|0;j=c[e+4>>2]|0;if(!d){h=100;d=a;i=$I(100,j)|0}else{h=d+100|0;i=aJ(c[e+8>>2]|0,O(h,j)|0)|0;VN(i+(O(j,d)|0)|0,0,j*100|0)|0;d=a}while(1){d=kt(k,d,b,m)|0;if(!d)break;a=c[e>>2]|0;f=h<<1;g=O(h,j)|0;if((a|0)==(h|0)){i=aJ(i,O(f,j)|0)|0;VN(i+g|0,0,g|0)|0;a=c[e>>2]|0}else f=h;a=i+(O(a,j)|0)|0;g=k;h=a+80|0;do{c[a>>2]=c[g>>2];a=a+4|0;g=g+4|0}while((a|0)<(h|0));c[e>>2]=(c[e>>2]|0)+1;h=f}if(c[m>>2]|0){m=e+16|0;c[m>>2]=c[m>>2]|1}d=c[e>>2]|0;if(!d){_I(i);_I(e);e=0;break}else{c[e+8>>2]=aJ(i,O(d,j)|0)|0;break}}while(0);l=n;return e|0}function kt(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0;j=l;l=l+80|0;h=j+64|0;i=j;c[f>>2]=0;do{g=a[d>>0]|0;d=d+1|0}while((XJ(g)|0)!=0);a:do switch(g|0){case 69:{c[b>>2]=0;d=lt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e>>2];break}case 101:{c[b>>2]=1;d=lt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e>>2];break}case 80:{c[b>>2]=2;d=mt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+4>>2];break}case 112:{c[b>>2]=3;d=mt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+4>>2];break}case 98:{c[b>>2]=4;d=mt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+8>>2];break}case 66:{c[b>>2]=5;d=mt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+8>>2];break}case 99:{d=nt(d,h)|0;if(!d){c[f>>2]=1;d=0;break a}g=ot(c[h>>2]|0,i)|0;c[h>>2]=g;if(!g){c[f>>2]=1;d=0;break a}if(!(c[i>>2]|0)){c[b>>2]=9;c[b+8>>2]=c[i+8>>2];if(!e)break a;c[b+72>>2]=c[e+24>>2];break a}else{c[b>>2]=14;f=b+8|0;g=i;h=f+64|0;do{c[f>>2]=c[g>>2];f=f+4|0;g=g+4|0}while((f|0)<(h|0));if(!e)break a;c[b+72>>2]=c[e+40>>2];break a}}case 67:{d=nt(d,h)|0;if(!d){c[f>>2]=1;d=0;break a}g=ot(c[h>>2]|0,i)|0;c[h>>2]=g;if(!g){c[f>>2]=1;d=0;break a}if(!(c[i>>2]|0)){c[b>>2]=8;c[b+8>>2]=c[i+8>>2];if(!e)break a;c[b+72>>2]=c[e+20>>2];break a}else{c[b>>2]=13;f=b+8|0;g=i;h=f+64|0;do{c[f>>2]=c[g>>2];f=f+4|0;g=g+4|0}while((f|0)<(h|0));if(!e)break a;c[b+72>>2]=c[e+40>>2];break a}}case 76:{c[b>>2]=6;d=mt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+12>>2];break}case 84:{c[b>>2]=7;d=pt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}d=pt(d,b+16|0)|0;if(!d){c[f>>2]=1;d=0;break a}d=qt(d,b+24|0)|0;if(!d){c[f>>2]=1;d=0;break a}d=pt(d,b+32|0)|0;if(!d){c[f>>2]=1;d=0;break a}d=nt(d,b+40|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+16>>2];break}case 70:{c[b>>2]=10;d=pt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}d=nt(d,b+16|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+28>>2];break}case 83:{c[b>>2]=11;d=nt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+32>>2];break}case 73:{c[b>>2]=12;d=lt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}d=nt(d,b+40|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+36>>2];break}case 116:{c[b>>2]=15;d=rt(d,b+8|0)|0;if(!d){c[f>>2]=1;d=0;break a}if(e)c[b+72>>2]=c[e+44>>2];break}case 0:{d=0;break}default:{c[f>>2]=1;d=0}}while(0);l=j;return d|0}function lt(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0;i=l;l=l+16|0;e=i;h[b>>3]=+tM(a,e);f=c[e>>2]|0;if(((f|0)!=(a|0)?(h[b+8>>3]=+tM(f,e),g=c[e>>2]|0,(f|0)!=(g|0)):0)?(h[b+16>>3]=+tM(g,e),d=c[e>>2]|0,(g|0)!=(d|0)):0){h[b+24>>3]=+tM(d,e);a=c[e>>2]|0;a=(d|0)==(a|0)?0:a}else a=0;l=i;return a|0}function mt(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0;k=l;l=l+16|0;j=k+4|0;g=k;a=st(a,j)|0;do if(a){d=c[j>>2]|0;i=$I(d,24)|0;c[b>>2]=d;e=i;f=0;while(1){if((f|0)>=(d|0)){d=9;break}h[e>>3]=+tM(a,g);d=c[g>>2]|0;if((a|0)==(d|0)){d=5;break}h[e+8>>3]=+tM(d,g);a=c[g>>2]|0;if((d|0)==(a|0)){d=7;break}h[e+16>>3]=0.0;e=e+24|0;d=c[b>>2]|0;f=f+1|0}if((d|0)==5){c[j>>2]=f;_I(i);a=0;break}else if((d|0)==7){c[j>>2]=f;_I(i);a=0;break}else if((d|0)==9){c[j>>2]=f;c[b+4>>2]=i;break}}else a=0;while(0);l=k;return a|0}function nt(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0;j=l;l=l+16|0;i=j;b=st(b,i)|0;f=c[i>>2]|0;do if(!((b|0)==0|(f|0)<1)){while(1){h=a[b>>0]|0;e=h<<24>>24==0;if(e^h<<24>>24!=45)b=b+1|0;else break}if(!e){h=$I(f+1|0,1)|0;g=h;e=f;while(1){b=b+1|0;if((e|0)<=0){e=9;break}e=a[b>>0]|0;if(!(e<<24>>24)){e=8;break}a[g>>0]=e;e=(c[i>>2]|0)+-1|0;c[i>>2]=e;g=g+1|0}if((e|0)==8){_I(h);b=0;break}else if((e|0)==9){a[g>>0]=0;c[d>>2]=h;break}}else b=0}else b=0;while(0);l=j;return b|0}function ot(b,d){b=b|0;d=d|0;var e=0;e=a[b>>0]|0;switch(e|0){case 91:{b=tt(b+1|0,d)|0;break}case 40:{b=ut(b+1|0,d)|0;break}case 47:case 35:{c[d>>2]=0;c[d+8>>2]=b;break}default:if(!(gK(e)|0))b=0;else{c[d>>2]=0;c[d+8>>2]=b}}return b|0}function pt(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0;f=l;l=l+16|0;d=f;e=+tM(a,d);d=c[d>>2]|0;if((d|0)==(a|0))d=0;else h[b>>3]=e;l=f;return d|0}function qt(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;a=st(a,e)|0;e=c[e>>2]|0;c[b>>2]=(e|0)<0?0:e|0?2:1;l=d;return a|0}function rt(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[b>>2]=YJ(a,e,10)|0;b=c[e>>2]|0;l=d;return ((b|0)==(a|0)?0:b)|0}function st(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[b>>2]=BL(a,e,10)|0;b=c[e>>2]|0;l=d;return ((b|0)==(a|0)?0:b)|0}function tt(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;m=o;c[b>>2]=1;n=b+8|0;i=pt(a,n)|0;do if(((((i|0)!=0?(j=pt(i,b+16|0)|0,(j|0)!=0):0)?(e=pt(j,b+24|0)|0,(e|0)!=0):0)?(f=pt(e,b+32|0)|0,(f|0)!=0):0)?(k=b+40|0,d=st(f,k)|0,(d|0)!=0):0){b=c[k>>2]|0;f=$I(b,8)|0;e=0;while(1){if((e|0)>=(b|0)){d=13;break}d=pt(d,m)|0;if(!d){d=9;break}g[f+(e<<3)>>2]=+h[m>>3];d=nt(d,f+(e<<3)+4|0)|0;if(!d){d=12;break}e=e+1|0;b=c[k>>2]|0}if((d|0)==9){_I(f);a=0;break}else if((d|0)==12){_I(f);a=0;break}else if((d|0)==13){c[n+36>>2]=f;break}}else a=0;while(0);l=o;return a|0}function ut(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;p=l;l=l+16|0;n=p;c[b>>2]=2;k=pt(a,b+8|0)|0;do if(((((((k|0)!=0?(m=pt(k,b+16|0)|0,(m|0)!=0):0)?(e=pt(m,b+24|0)|0,(e|0)!=0):0)?(f=pt(e,b+32|0)|0,(f|0)!=0):0)?(i=pt(f,b+40|0)|0,(i|0)!=0):0)?(j=pt(i,b+48|0)|0,(j|0)!=0):0)?(o=b+56|0,d=st(j,o)|0,(d|0)!=0):0){e=c[o>>2]|0;i=$I(e,8)|0;f=0;while(1){if((f|0)>=(e|0)){d=15;break}d=pt(d,n)|0;if(!d){d=11;break}g[i+(f<<3)>>2]=+h[n>>3];d=nt(d,i+(f<<3)+4|0)|0;if(!d){d=14;break}f=f+1|0;e=c[o>>2]|0}if((d|0)==11){_I(i);a=0;break}else if((d|0)==14){_I(i);a=0;break}else if((d|0)==15){c[b+60>>2]=i;break}}else a=0;while(0);l=p;return a|0}function vt(a,b,c){a=a|0;b=b|0;c=c|0;return jt(a,b,c,0)|0}function wt(a){a=a|0;return vt(a,0,0)|0}function xt(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;e=c[a+12>>2]|0;if(a|0){f=c[a+8>>2]|0;g=a+4|0;h=(e|0)==0;b=0;while(1){if((b|0)>=(c[a>>2]|0))break;d=f+(O(c[g>>2]|0,b)|0)|0;if(!h)gb[e&127](d);yt(d);b=b+1|0}_I(f);_I(a)}return}function yt(a){a=a|0;switch(c[a>>2]|0){case 3:case 2:{_I(c[a+8+4>>2]|0);break}case 5:case 4:{_I(c[a+8+4>>2]|0);break}case 6:{_I(c[a+8+4>>2]|0);break}case 7:{_I(c[a+40>>2]|0);break}case 9:case 8:{_I(c[a+8>>2]|0);break}case 14:case 13:{zt(a+8|0);break}case 10:{_I(c[a+16>>2]|0);break}case 11:{_I(c[a+8>>2]|0);break}case 12:{_I(c[a+40>>2]|0);break}default:{}}return}function zt(a){a=a|0;var b=0,d=0,e=0;switch(c[a>>2]|0){case 1:{e=a+40|0;b=a+8+36|0;a=0;while(1){d=c[b>>2]|0;if((a|0)>=(c[e>>2]|0))break;_I(c[d+(a<<3)+4>>2]|0);a=a+1|0}_I(d);break}case 2:{e=a+56|0;d=a+60|0;a=0;while(1){b=c[d>>2]|0;if((a|0)>=(c[e>>2]|0))break;_I(c[b+(a<<3)+4>>2]|0);a=a+1|0}_I(b);break}default:{}}return}function At(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;k=o+4|0;n=o;c[d>>2]=0;c[e>>2]=(qn(ro(b)|0)|0)!=0&1;f=c[42228]|0;a:do if(f|0?(h=Jm(b,f)|0,i=a[h>>0]|0,i<<24>>24):0){f=19444;while(1){g=c[f>>2]|0;if(!g)break a;if(i<<24>>24==(a[g>>0]|0)?(xJ(h,g)|0)==0:0)break;f=f+12|0}c[d>>2]=c[f+4>>2];c[e>>2]=c[f+8>>2]}while(0);f=c[42239]|0;if((f|0?(c[e>>2]|0)==1:0)?(j=Jm(b,f)|0,a[j>>0]|0):0)Bt(j,e);f=c[42240]|0;if((f|0?(c[d>>2]|0)==1:0)?(m=Jm(b,f)|0,a[m>>0]|0):0)Bt(m,d);if(a[(c[b+16>>2]|0)+153>>0]|0){j=b+-48|0;i=ro(c[((c[b>>2]&3|0)==2?b:j)+40>>2]|0)|0;m=c[b>>2]&3;At(an(i,c[((m|0)==2?b:j)+40>>2]|0,c[((m|0)==3?b:b+48|0)+40>>2]|0,0,0)|0,k,n);c[e>>2]=c[k>>2]|c[e>>2];c[d>>2]=c[n>>2]|c[d>>2]}l=o;return}function Bt(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;m=o;k=o+4|0;j=0;e=0;a:while(1){c[d>>2]=e;g=(j|0)<4;h=(j|0)==3;i=(j|0)==0;while(1){if(!(g&(a[b>>0]|0)!=0))break a;c[k>>2]=0;f=Ct(b,k)|0;e=c[k>>2]|0;if(!e){n=5;break a}b=(e|0)==8;if(!(h&b)){if(!(i&b))break;if(a[f>>0]|0)break}c[k>>2]=0;b=f}e=c[d>>2]|e<<(j<<3);j=j+1|0;b=f}if((n|0)==5){c[m>>2]=b;_l(0,84713,m)|0}l=o;return}function Ct(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;f=l;l=l+16|0;e=f;c[e>>2]=0;d=Dt(a,19504,e)|0;if((d|0)==(a|0)){while(1){d=Dt(a,19520,e)|0;if((a|0)==(d|0))break;else a=d}d=Dt(a,19568,e)|0}a=c[e>>2]|0;if((a|0)!=0&(a&15|0)==0){a=a|1;c[e>>2]=a}c[b>>2]=c[b>>2]|a;l=f;return d|0}function Dt(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;while(1){e=c[b>>2]|0;if(!e)break;f=rJ(e)|0;if(!(VJ(a,e,f)|0)){g=4;break}b=b+8|0}if((g|0)==4){c[d>>2]=c[d>>2]|c[b+4>>2];a=a+f|0}return a|0}function Et(a,b){a=a|0;b=b|0;var d=0.0,e=0,f=0,g=0,i=0;g=0;d=0.0;while(1){if((g|0)==4)break;f=b>>(g<<3)&15;e=1336;while(1){if(!(c[e+16>>2]|0))break;if((f|0)==(c[e>>2]|0)){i=6;break}e=e+24|0}if((i|0)==6){i=0;d=+h[e+8>>3]+d}g=g+1|0}return +(d*10.0*+EA(a,c[42232]|0,1.0,0.0))}function Ft(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=+e;f=+f;g=g|0;var i=0.0,j=0.0,k=0.0,m=0,n=0.0,o=0,p=0;p=l;l=l+96|0;m=p+80|0;o=p;k=f>4.0?f*.0875:.35;i=+h[d+8>>3];n=i*k;j=+h[d>>3];k=j*k;e=+h[b>>3];j=e+j;h[m>>3]=j;f=+h[b+8>>3];i=i+f;h[m+8>>3]=i;d=o+64|0;if(!(g&32)){c[d>>2]=c[m>>2];c[d+4>>2]=c[m+4>>2];c[d+8>>2]=c[m+8>>2];c[d+12>>2]=c[m+12>>2];c[o>>2]=c[m>>2];c[o+4>>2]=c[m+4>>2];c[o+8>>2]=c[m+8>>2];c[o+12>>2]=c[m+12>>2];m=o+32|0;c[m>>2]=c[b>>2];c[m+4>>2]=c[b+4>>2];c[m+8>>2]=c[b+8>>2];c[m+12>>2]=c[b+12>>2];f=i;e=j}else{c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];c[o>>2]=c[b>>2];c[o+4>>2]=c[b+4>>2];c[o+8>>2]=c[b+8>>2];c[o+12>>2]=c[b+12>>2];b=o+32|0;c[b>>2]=c[m>>2];c[b+4>>2]=c[m+4>>2];c[b+8>>2]=c[m+8>>2];c[b+12>>2]=c[m+12>>2]}h[o+16>>3]=e+n;h[o+24>>3]=f-k;h[o+48>>3]=e-n;h[o+56>>3]=f+k;do if(!(g&64))if(!(g&128)){HD(a,o+16|0,3,g>>>4&1^1);break}else{HD(a,o+32|0,3,g>>>4&1^1);break}else HD(a,o,3,g>>>4&1^1);while(0);l=p;return}function Gt(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=+e;f=+f;g=g|0;var i=0.0,j=0.0,k=0.0,m=0.0,n=0,o=0.0,p=0.0,q=0.0,r=0.0,s=0.0,t=0.0,u=0.0,v=0.0,w=0,x=0,y=0;x=l;l=l+160|0;n=x+144|0;w=x;q=e*4.0;y=(g&32|0)==0;q=!(q<f)|y?.45:f/q*.45;s=!(f>1.0)|y?0.0:(f+-1.0)*.05/e;u=+h[d+8>>3];r=-u;v=q*r;t=+h[d>>3];q=t*q;r=s*r;s=t*s;p=+h[b>>3];e=p+t;h[n>>3]=e;o=+h[b+8>>3];f=u+o;h[n+8>>3]=f;t=t*.5+p;u=u*.5+o;d=w+128|0;if(y){c[d>>2]=c[n>>2];c[d+4>>2]=c[n+4>>2];c[d+8>>2]=c[n+8>>2];c[d+12>>2]=c[n+12>>2];c[w>>2]=c[n>>2];c[w+4>>2]=c[n+4>>2];c[w+8>>2]=c[n+8>>2];c[w+12>>2]=c[n+12>>2];y=w+64|0;c[y>>2]=c[b>>2];c[y+4>>2]=c[b+4>>2];c[y+8>>2]=c[b+8>>2];c[y+12>>2]=c[b+12>>2];i=o;j=p;k=o;m=p;f=o;e=p}else{c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];c[w>>2]=c[b>>2];c[w+4>>2]=c[b+4>>2];c[w+8>>2]=c[b+8>>2];c[w+12>>2]=c[b+12>>2];y=w+64|0;c[y>>2]=c[n>>2];c[y+4>>2]=c[n+4>>2];c[y+8>>2]=c[n+8>>2];c[y+12>>2]=c[n+12>>2];i=f+s;j=e+r;k=f-s;m=e-r}h[w+16>>3]=e-v;h[w+24>>3]=f-q;h[w+32>>3]=t-r;h[w+40>>3]=u-s;h[w+48>>3]=m;h[w+56>>3]=k;h[w+80>>3]=j;h[w+88>>3]=i;h[w+96>>3]=t+r;h[w+104>>3]=u+s;h[w+112>>3]=e+v;h[w+120>>3]=f+q;do if(!(g&64))if(!(g&128)){HD(a,w,9,1);break}else{HD(a,w+48|0,6,1);break}else HD(a,w,6,1);while(0);l=x;return}function Ht(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=+e;f=+f;g=g|0;var i=0.0,j=0.0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0.0,t=0.0;q=l;l=l+64|0;p=q;t=+h[d+8>>3];s=+h[d>>3];k=+h[b>>3];e=k+s;m=+h[b+8>>3];f=m+t;i=k+s*.2;j=m+t*.2;k=k+s*.6;m=m+t*.6;h[p>>3]=i-t;h[p+8>>3]=j+s;n=p+16|0;h[n>>3]=i+t;o=p+24|0;h[o>>3]=j-s;h[p+32>>3]=k+t;h[p+40>>3]=m-s;h[p+48>>3]=k-t;h[p+56>>3]=m+s;if(!(g&64)){if(g&128|0){d=2;g=1;r=3}}else{d=3;g=0;r=3}if((r|0)==3){h[p+(g<<4)>>3]=i;h[p+(g<<4)+8>>3]=j;h[p+(d<<4)>>3]=k;h[p+(d<<4)+8>>3]=m}HD(a,p,4,1);c[p>>2]=c[b>>2];c[p+4>>2]=c[b+4>>2];c[p+8>>2]=c[b+8>>2];c[p+12>>2]=c[b+12>>2];h[n>>3]=e;h[o>>3]=f;KD(a,p,2);l=q;return}function It(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=+e;f=+f;g=g|0;var i=0.0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0.0,r=0.0,s=0.0,t=0.0;o=l;l=l+64|0;n=o;j=+h[d+8>>3];r=j*-.4;i=+h[d>>3];q=i*.4;t=+h[b>>3];e=t+i*.8;s=+h[b+8>>3];f=s+j*.8;i=t+i;j=s+j;h[n>>3]=t+r;k=n+8|0;h[k>>3]=s+q;d=n+16|0;h[d>>3]=t-r;m=n+24|0;h[m>>3]=s-q;h[n+32>>3]=e-r;h[n+40>>3]=f-q;h[n+48>>3]=e+r;h[n+56>>3]=f+q;if(!(g&64)){if(g&128|0){c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];d=2;p=5}}else{c[n>>2]=c[b>>2];c[n+4>>2]=c[b+4>>2];c[n+8>>2]=c[b+8>>2];c[n+12>>2]=c[b+12>>2];d=3;p=5}if((p|0)==5){h[n+(d<<4)>>3]=e;h[n+(d<<4)+8>>3]=f}HD(a,n,4,g>>>4&1^1);h[n>>3]=e;h[k>>3]=f;h[n+16>>3]=i;h[m>>3]=j;KD(a,n,2);l=o;return}function Jt(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=+e;f=+f;g=g|0;var i=0,j=0,k=0.0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0;j=l;l=l+80|0;i=j;n=+h[d+8>>3];k=n*-.3333333333333333;p=+h[d>>3];f=p*.3333333333333333;q=+h[b>>3];m=q+p*.5;o=+h[b+8>>3];e=o+n*.5;d=i+64|0;h[i+64>>3]=q+p;h[i+72>>3]=o+n;c[i>>2]=c[d>>2];c[i+4>>2]=c[d+4>>2];c[i+8>>2]=c[d+8>>2];c[i+12>>2]=c[d+12>>2];h[i+16>>3]=m+k;h[i+24>>3]=e+f;d=i+32|0;c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];h[i+48>>3]=m-k;h[i+56>>3]=e-f;do if(!(g&64)){d=g>>>4&1^1;if(!(g&128)){HD(a,i,4,d);break}else{HD(a,i,3,d);break}}else HD(a,d,3,g>>>4&1^1);while(0);l=j;return}function Kt(a,b,c,d,e,f){a=a|0;b=b|0;c=c|0;d=+d;e=+e;f=f|0;var g=0,i=0,j=0.0,k=0.0,m=0.0;g=l;l=l+32|0;i=g;k=+h[c>>3];e=+h[c+8>>3];d=+C(+(e*e+k*k))*.5;m=+h[b>>3];k=k*.5;h[i>>3]=m+k-d;j=+h[b+8>>3];e=e*.5;h[i+8>>3]=j-d+e;h[i+16>>3]=m+d+k;h[i+24>>3]=j+d+e;GD(a,i,2,f>>>4&1^1);l=g;return}function Lt(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=+e;f=+f;g=g|0;var i=0.0,j=0.0,k=0.0,m=0.0,n=0.0,o=0.0,p=0.0,q=0,r=0,s=0,t=0;t=l;l=l+112|0;q=t+48|0;r=t+16|0;s=t;n=f>4.0?f*.125:.5;p=+h[b>>3];o=+h[d>>3];i=+h[b+8>>3];m=+h[d+8>>3];e=m*n;f=o*n;c[r>>2]=c[b>>2];c[r+4>>2]=c[b+4>>2];c[r+8>>2]=c[b+8>>2];c[r+12>>2]=c[b+12>>2];h[r+16>>3]=o+p;h[r+24>>3]=m+i;h[q>>3]=n*(o-m)+p;j=n*(m+o);k=j+i;h[q+8>>3]=k;h[q+48>>3]=j+p;i=n*(m-o)+i;h[q+56>>3]=i;o=e*-.95;m=o+f+p;n=f*1.3333333333333333;if(!(g&32)){e=e*1.3333333333333333;j=f*-.33333333333333326;i=i-e;f=k-e;e=m-n}else{e=e*1.3333333333333333;j=f*2.333333333333333;i=i+e;f=k+e;e=m+n}h[q+16>>3]=e;h[q+24>>3]=f;h[q+32>>3]=j-o+p;h[q+40>>3]=i;KD(a,r,2);if(!(g&64)){if(g&128|0)PA(s,q,3,.5,q,0)}else PA(s,q,3,.5,0,q);JD(a,q,4,0,0,0);l=t;return}function Mt(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=+e;f=+f;g=g|0;var i=0;g=l;l=l+32|0;i=g;e=+h[d>>3]+ +h[b>>3];f=+h[d+8>>3]+ +h[b+8>>3];c[i>>2]=c[b>>2];c[i+4>>2]=c[b+4>>2];c[i+8>>2]=c[b+8>>2];c[i+12>>2]=c[b+12>>2];h[i+16>>3]=e;h[i+24>>3]=f;KD(a,i,2);l=g;return}function Nt(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0.0,j=0,k=0,m=0,n=0,o=0.0,p=0.0,q=0,r=0,s=0;n=l;l=l+80|0;j=n+72|0;k=n+8|0;m=n;i=+Et(a,g);i=i*i;h[m>>3]=i;c[f+12>>2]=g;g=f+32|0;a=e+3|0;f=b+(a<<4)|0;c[g>>2]=c[f>>2];c[g+4>>2]=c[f+4>>2];c[g+8>>2]=c[f+8>>2];c[g+12>>2]=c[f+12>>2];if((e|0)>(d|0)?(o=+h[b+(e<<4)>>3]-+h[f>>3],p=+h[b+(e<<4)+8>>3]-+h[b+(a<<4)+8>>3],p*p+o*o<i):0)e=e+-3|0;s=k+48|0;r=b+(e<<4)|0;c[s>>2]=c[r>>2];c[s+4>>2]=c[r+4>>2];c[s+8>>2]=c[r+8>>2];c[s+12>>2]=c[r+12>>2];q=k+32|0;a=b+(e+1<<4)|0;c[q>>2]=c[a>>2];c[q+4>>2]=c[a+4>>2];c[q+8>>2]=c[a+8>>2];c[q+12>>2]=c[a+12>>2];f=k+16|0;d=b+(e+2<<4)|0;c[f>>2]=c[d>>2];c[f+4>>2]=c[d+4>>2];c[f+8>>2]=c[d+8>>2];c[f+12>>2]=c[d+12>>2];c[k>>2]=c[g>>2];c[k+4>>2]=c[g+4>>2];c[k+8>>2]=c[g+8>>2];c[k+12>>2]=c[g+12>>2];c[j>>2]=k;c[j+4>>2]=m;Fz(j,26,k,1);c[r>>2]=c[s>>2];c[r+4>>2]=c[s+4>>2];c[r+8>>2]=c[s+8>>2];c[r+12>>2]=c[s+12>>2];c[a>>2]=c[q>>2];c[a+4>>2]=c[q+4>>2];c[a+8>>2]=c[q+8>>2];c[a+12>>2]=c[q+12>>2];c[d>>2]=c[f>>2];c[d+4>>2]=c[f+4>>2];c[d+8>>2]=c[f+8>>2];c[d+12>>2]=c[f+12>>2];m=b+(e+3<<4)|0;c[m>>2]=c[k>>2];c[m+4>>2]=c[k+4>>2];c[m+8>>2]=c[k+8>>2];c[m+12>>2]=c[k+12>>2];l=n;return e|0}function Ot(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0;f=c[a>>2]|0;d=+h[b>>3]-+h[f>>3];e=+h[b+8>>3]-+h[f+8>>3];return e*e+d*d<=+h[c[a+4>>2]>>3]|0}function Pt(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0.0,k=0,m=0,n=0,o=0,p=0.0,q=0.0,r=0,s=0;o=l;l=l+80|0;k=o+72|0;m=o+8|0;n=o;j=+Et(a,g);j=j*j;h[n>>3]=j;c[f+8>>2]=g;f=f+16|0;a=b+(d<<4)|0;c[f>>2]=c[a>>2];c[f+4>>2]=c[a+4>>2];c[f+8>>2]=c[a+8>>2];c[f+12>>2]=c[a+12>>2];if(!((e|0)>(d|0)?(i=d+3|0,p=+h[a>>3]-+h[b+(i<<4)>>3],q=+h[b+(d<<4)+8>>3]-+h[b+(i<<4)+8>>3],q*q+p*p<j):0))i=d;e=b+(i+3<<4)|0;c[m>>2]=c[e>>2];c[m+4>>2]=c[e+4>>2];c[m+8>>2]=c[e+8>>2];c[m+12>>2]=c[e+12>>2];g=m+16|0;d=b+(i+2<<4)|0;c[g>>2]=c[d>>2];c[g+4>>2]=c[d+4>>2];c[g+8>>2]=c[d+8>>2];c[g+12>>2]=c[d+12>>2];r=m+32|0;a=b+(i+1<<4)|0;c[r>>2]=c[a>>2];c[r+4>>2]=c[a+4>>2];c[r+8>>2]=c[a+8>>2];c[r+12>>2]=c[a+12>>2];s=m+48|0;c[s>>2]=c[f>>2];c[s+4>>2]=c[f+4>>2];c[s+8>>2]=c[f+8>>2];c[s+12>>2]=c[f+12>>2];c[k>>2]=s;c[k+4>>2]=n;Fz(k,26,m,0);n=b+(i<<4)|0;c[n>>2]=c[s>>2];c[n+4>>2]=c[s+4>>2];c[n+8>>2]=c[s+8>>2];c[n+12>>2]=c[s+12>>2];c[a>>2]=c[r>>2];c[a+4>>2]=c[r+4>>2];c[a+8>>2]=c[r+8>>2];c[a+12>>2]=c[r+12>>2];c[d>>2]=c[g>>2];c[d+4>>2]=c[g+4>>2];c[d+8>>2]=c[g+8>>2];c[d+12>>2]=c[g+12>>2];c[e>>2]=c[m>>2];c[e+4>>2]=c[m+4>>2];c[e+8>>2]=c[m+8>>2];c[e+12>>2]=c[m+12>>2];l=o;return i|0}function Qt(a,b,d,e,f,g,i){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0.0,k=0.0,l=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0.0,t=0.0,u=0,v=0,w=0;u=(g|0)!=0;l=(i|0)!=0;if(!((e|0)==(d|0)&(u&l))){if(l){j=+Et(a,i);k=+h[b+(e<<4)>>3];p=+h[b+(e<<4)+8>>3];l=e+3|0;r=b+(l<<4)|0;n=+h[r>>3];l=b+(l<<4)+8|0;o=+h[l>>3];t=k-n;s=p-o;t=+C(+(s*s+t*t))*.9;j=j>=t?t:j;if(p==o){m=(k<n?-j:j)+n;j=p}else{m=k;j=(p<o?-j:j)+o}w=e+1|0;h[b+(w<<4)>>3]=k;h[b+(w<<4)+8>>3]=p;e=b+(e+2<<4)|0;h[r>>3]=m;h[l>>3]=j;c[e>>2]=c[r>>2];c[e+4>>2]=c[r+4>>2];c[e+8>>2]=c[r+8>>2];c[e+12>>2]=c[r+12>>2];c[f+12>>2]=i;h[f+32>>3]=n;h[f+40>>3]=o}if(u){m=+Et(a,g);l=b+(d<<4)|0;k=+h[l>>3];j=+h[b+(d<<4)+8>>3];w=d+3|0;o=+h[b+(w<<4)>>3];p=+h[b+(w<<4)+8>>3];t=k-o;s=j-p;t=+C(+(s*s+t*t))*.9;m=m>=t?t:m;if(j==p){n=(k<o?m:-m)+k;m=j}else{n=k;m=(j<p?m:-m)+j}w=d+1|0;v=b+(w<<4)|0;h[v>>3]=n;h[b+(w<<4)+8>>3]=m;c[l>>2]=c[v>>2];c[l+4>>2]=c[v+4>>2];c[l+8>>2]=c[v+8>>2];c[l+12>>2]=c[v+12>>2];v=d+2|0;h[b+(v<<4)>>3]=o;h[b+(v<<4)+8>>3]=p;v=16}}else{r=b+(e<<4)|0;s=+h[r>>3];t=+h[b+(e<<4)+8>>3];l=e+3|0;u=b+(l<<4)|0;k=+h[u>>3];l=b+(l<<4)+8|0;j=+h[l>>3];m=+Et(a,g);q=+Et(a,i);n=s-k;p=t-j;n=+C(+(p*p+n*n));w=!(q+m>=n);n=n*.3333333333333333;m=w?m:n;n=w?q:n;if(t==j){w=s<k;p=(w?-n:n)+k;q=(w?m:-m)+s;o=t;m=t}else{w=t<j;p=s;q=s;o=(w?m:-m)+t;m=(w?-n:n)+j}w=e+1|0;v=b+(w<<4)|0;h[v>>3]=q;h[b+(w<<4)+8>>3]=o;c[r>>2]=c[v>>2];c[r+4>>2]=c[v+4>>2];c[r+8>>2]=c[v+8>>2];c[r+12>>2]=c[v+12>>2];v=b+(e+2<<4)|0;h[u>>3]=p;h[l>>3]=m;c[v>>2]=c[u>>2];c[v+4>>2]=c[u+4>>2];c[v+8>>2]=c[u+8>>2];c[v+12>>2]=c[u+12>>2];c[f+12>>2]=i;h[f+32>>3]=s;h[f+40>>3]=t;v=16}if((v|0)==16){c[f+8>>2]=g;h[f+16>>3]=k;h[f+24>>3]=j}return}function Rt(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=+d;e=e|0;var f=0.0,g=0.0,i=0.0,j=0.0,k=0.0,l=0.0,m=0.0,n=0.0,o=0.0;n=+h[b>>3];k=+h[c>>3]-n;o=+h[b+8>>3];l=+h[c+8>>3]-o;j=d*10.0/(+C(+(k*k+l*l))+.0001);k=j*((k>=0.0?.0001:-.0001)+k);j=((l>=0.0?.0001:-.0001)+l)*j;l=k*.5;m=j*.5;i=n-m;f=o-l;n=m+n;l=o+l;o=i+k;m=f+j;k=n+k;j=l+j;g=o>k?o:k;g=n>g?n:g;d=m>j?m:j;d=l>d?l:d;k=o<k?o:k;k=n<k?n:k;j=m<j?m:j;j=l<j?l:j;h[a>>3]=i<k?i:k;h[a+8>>3]=f<j?f:j;h[a+16>>3]=i>g?i:g;h[a+24>>3]=f>d?f:d;return}function St(a,b,d,e,f,g,i){a=a|0;b=b|0;d=d|0;e=e|0;f=+f;g=+g;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0,s=0.0,t=0.0;q=l;l=l+48|0;m=q+32|0;k=q+16|0;p=q;n=(c[a+16>>2]|0)+12|0;o=c[n>>2]|0;c[n>>2]=b;FD(a,c[(c[a>>2]|0)+336>>2]|0);OD(a,g);t=+h[e>>3]-+h[d>>3];b=e+8|0;s=+h[b>>3]-+h[d+8>>3];r=10.0/(+C(+(t*t+s*s))+.0001);h[e>>3]=r*((t>=0.0?.0001:-.0001)+t);h[b>>3]=((s>=0.0?.0001:-.0001)+s)*r;b=0;while(1){if((b|0)>=4)break;j=i>>(b<<3)&255;if(!j)break;c[k>>2]=c[d>>2];c[k+4>>2]=c[d+4>>2];c[k+8>>2]=c[d+8>>2];c[k+12>>2]=c[d+12>>2];c[m>>2]=c[e>>2];c[m+4>>2]=c[e+4>>2];c[m+8>>2]=c[e+8>>2];c[m+12>>2]=c[e+12>>2];Tt(p,a,k,m,f,g,j);c[d>>2]=c[p>>2];c[d+4>>2]=c[p+4>>2];c[d+8>>2]=c[p+8>>2];c[d+12>>2]=c[p+12>>2];b=b+1|0}c[n>>2]=o;l=q;return}function Tt(a,b,d,e,f,g,i){a=a|0;b=b|0;d=d|0;e=e|0;f=+f;g=+g;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0;q=l;l=l+32|0;m=q+16|0;k=q;n=i&15;j=1336;while(1){o=c[j>>2]|0;if(!o)break;if((n|0)==(o|0)){p=4;break}j=j+24|0}if((p|0)==4){r=+h[j+8>>3]*f;h[e>>3]=r*+h[e>>3];o=e+8|0;h[o>>3]=r*+h[o>>3];p=c[j+16>>2]|0;c[k>>2]=c[d>>2];c[k+4>>2]=c[d+4>>2];c[k+8>>2]=c[d+8>>2];c[k+12>>2]=c[d+12>>2];c[m>>2]=c[e>>2];c[m+4>>2]=c[e+4>>2];c[m+8>>2]=c[e+8>>2];c[m+12>>2]=c[e+12>>2];jb[p&15](b,k,m,f,g,i);h[d>>3]=+h[e>>3]+ +h[d>>3];p=d+8|0;h[p>>3]=+h[o>>3]+ +h[p>>3]};c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];l=q;return}function Ut(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;g=i+8|0;f=i;d=Im(b,84815)|0;if((d|0)!=0?(a[d>>0]|0)!=0:0){e=d;h=5}else{d=Im(b,84827)|0;if((d|0)!=0?(a[d>>0]|0)!=0:0){e=d;h=5}else d=0}if((h|0)==5){d=vt(e,0,120)|0;if(!d){c[f>>2]=Dn(b)|0;_l(0,84834,f)|0;c[g>>2]=e;_l(3,84887,g)|0}}l=i;return d|0}function Vt(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;g=l;l=l+16|0;f=vw(304)|0;if(!f)_l(1,84895,g)|0;e=a+16|0;a=c[e>>2]|0;c[f>>2]=a;c[e>>2]=f;if(!a){c[f+144>>2]=3;c[f+148>>2]=0;h[f+152>>3]=1.0}else{b=f+16|0;d=a+16|0;e=b+40|0;do{c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}while((b|0)<(e|0));b=f+56|0;d=a+56|0;e=b+40|0;do{c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}while((b|0)<(e|0));c[f+144>>2]=c[a+144>>2];c[f+148>>2]=c[a+148>>2];h[f+152>>3]=+h[a+152>>3];c[f+136>>2]=c[a+136>>2];b=f+96|0;d=a+96|0;e=b+40|0;do{c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}while((b|0)<(e|0))}l=g;return f|0}function Wt(a){a=a|0;var b=0;a=a+16|0;b=c[a>>2]|0;if(!b)ma(84921,84925,117,84932);else{_I(c[b+212>>2]|0);_I(c[b+208>>2]|0);_I(c[b+216>>2]|0);_I(c[b+220>>2]|0);_I(c[b+224>>2]|0);_I(c[b+228>>2]|0);_I(c[b+232>>2]|0);_I(c[b+236>>2]|0);_I(c[b+240>>2]|0);_I(c[b+244>>2]|0);_I(c[b+248>>2]|0);_I(c[b+252>>2]|0);_I(c[b+256>>2]|0);_I(c[b+272>>2]|0);_I(c[b+284>>2]|0);_I(c[b+280>>2]|0);c[a>>2]=c[b>>2];_I(b);return}}function Xt(d,e,f,g,h,i,j){d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;i=i|0;j=j|0;var k=0,l=0;l=c[d+16>>2]|0;k=c[d+152>>2]|0;if((e|0)!=0&(k&32768|0)!=0)c[l+192>>2]=e;if(((k&65536|0)!=0?(c[l+212>>2]=qw(i,j)|0,(f|0)!=0):0)?(a[f>>0]|0)!=0:0){c[l+208>>2]=qw(f,j)|0;d=1}else d=0;do if(k&4194304){if(g|0?a[g>>0]|0:0){c[l+228>>2]=qw(g,j)|0;d=l+260|0;b[d>>1]=b[d>>1]|1;d=1;break}e=c[l+192>>2]|0;if(e){c[l+228>>2]=GL(e)|0;d=1}}while(0);if((h|0)!=0&(k&8388608|0)!=0?(a[h>>0]|0)!=0:0){c[l+244>>2]=qw(h,j)|0;d=1}return d|0}function Yt(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;j=l;l=l+80|0;i=j;h=j+8|0;g=c[(c[b>>2]|0)+168>>2]|0;f=c[(c[(c[g+16>>2]|0)+8>>2]|0)+92>>2]|0;Zt(b,e);b=Im(d,86799)|0;if((b|0)!=0?(a[b>>0]|0)!=0:0){fm(e,b)|0;f=e+4|0;b=c[f>>2]|0;if(b>>>0>=(c[e+8>>2]|0)>>>0){dm(e,1)|0;b=c[f>>2]|0}a[b>>0]=0;b=c[e>>2]|0;c[f>>2]=b}else{if((g|0)!=(d|0)&(f|0)!=0){fm(e,f)|0;f=e+4|0;b=c[f>>2]|0;if(b>>>0>=(c[e+8>>2]|0)>>>0){dm(e,1)|0;b=c[f>>2]|0}c[f>>2]=b+1;a[b>>0]=95}switch(Co(d)|0){case 0:{f=(g|0)==(d|0)?96286:84946;b=(c[d>>2]|0)>>>4;break}case 1:{f=96273;b=(c[d>>2]|0)>>>4;break}case 2:{f=96237;b=(c[d>>2]|0)>>>4;break}default:{f=0;b=0}}fm(e,f)|0;c[i>>2]=b;pL(h,84952,i)|0;fm(e,h)|0;f=e+4|0;b=c[f>>2]|0;if(b>>>0>=(c[e+8>>2]|0)>>>0){dm(e,1)|0;b=c[f>>2]|0}a[b>>0]=0;b=c[e>>2]|0;c[f>>2]=b}l=j;return b|0}function Zt(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;i=l;l=l+144|0;h=i;g=i+8|0;e=c[b+160>>2]|0;if((e|0)>1?c[b+152>>2]&64|0:0){fm(d,c[(c[(c[b>>2]|0)+308>>2]|0)+(e<<2)>>2]|0)|0;f=d+4|0;e=c[f>>2]|0;if(e>>>0>=(c[d+8>>2]|0)>>>0){dm(d,1)|0;e=c[f>>2]|0}c[f>>2]=e+1;a[e>>0]=95}f=c[b+196>>2]|0;e=c[b+200>>2]|0;if((f|0)>0|(e|0)>0){c[h>>2]=f;c[h+4>>2]=e;pL(g,84956,h)|0;fm(d,g)|0}l=i;return}function _t(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0,i=0.0,j=0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0.0,s=0;s=l;l=l+48|0;p=s+16|0;f=s+32|0;q=s;r=+h[(c[a+16>>2]|0)+152>>3];o=$t(d,0,f)|0;if((o+-1|0)>>>0>=2){e=+h[b+16>>3];k=(e+ +h[b>>3])*.5;h[q>>3]=k;i=+h[b+24>>3];m=(i+ +h[b+8>>3])*.5;h[q+8>>3]=m;k=e-k;m=i-m;n=r>.5;if(n)OD(a,.5);j=c[f>>2]|0;i=0.0;f=c[j+8>>2]|0;while(1){d=c[f>>2]|0;if(!d)break;b=f+4|0;if(+g[b>>2]==0.0)e=i;else{DD(a,d);if(!(c[f+12>>2]|0))e=6.283185307179586;else e=+g[b>>2]*6.283185307179586+i;c[p>>2]=c[q>>2];c[p+4>>2]=c[q+4>>2];c[p+8>>2]=c[q+8>>2];c[p+12>>2]=c[q+12>>2];b=_E(p,k,m,i,e)|0;JD(a,c[b>>2]|0,c[b+4>>2]|0,0,0,1);XI(b)}i=e;f=f+12|0}if(n)OD(a,r);au(j)}l=s;return o|0}function $t(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,h=0,i=0,j=0.0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0;r=l;l=l+16|0;o=r+8|0;n=r;q=vw(12)|0;i=GL(b)|0;a:do if(!d){d=1;f=i;while(1){switch(a[f>>0]|0){case 0:break a;case 58:{d=d+1|0;break}default:{}}f=f+1|0}}while(0);c[q+4>>2]=i;p=vw((d*12|0)+12|0)|0;c[q+8>>2]=p;m=1.0;h=0;d=0;f=i;while(1){f=DL(f,93017)|0;if(!f){f=20;break}j=+bu(f);if(!(j>=0.0)){f=17;break}k=j-m;if(k>0.0)if((c[4920]|0)!=0?!(k<1.0e-05&k>-1.0e-05):0){c[n>>2]=b;_l(0,84967,n)|0;c[4920]=0;j=m;d=3}else j=m;k=m-j;if(j>0.0)a[p+(h*12|0)+8>>0]=1;if(a[f>>0]|0)c[p+(h*12|0)>>2]=f;f=h+1|0;g[p+(h*12|0)+4>>2]=j;if(k<1.0e-05&k>-1.0e-05){h=f;f=30;break}else{m=k;h=f;f=0}}b:do if((f|0)==17){if(!(c[4920]|0))d=1;else{c[o>>2]=b;_l(1,85002,o)|0;c[4920]=0;d=2}au(q)}else if((f|0)==20)if(m>0.0){f=0;i=0;while(1){if((f|0)>=(h|0))break;o=i+(+g[p+(f*12|0)+4>>2]==0.0&1)|0;f=f+1|0;i=o}if((i|0)<=0){f=p+((h+-1|0)*12|0)+4|0;g[f>>2]=m+ +g[f>>2];f=30;break}j=m/+(i|0);f=0;while(1){if((f|0)>=(h|0)){f=30;break b}i=p+(f*12|0)+4|0;if(+g[i>>2]==0.0)g[i>>2]=j;f=f+1|0}}else f=30;while(0);if((f|0)==30){while(1){f=h+-1|0;if((h|0)<=0)break;if(+g[p+(f*12|0)+4>>2]>0.0)break;else h=f}c[p+(h*12|0)>>2]=0;c[q>>2]=h;c[e>>2]=q}l=r;return d|0}function au(a){a=a|0;_I(c[a+4>>2]|0);_I(c[a+8>>2]|0);_I(a);return}function bu(b){b=b|0;var d=0.0,e=0,f=0,g=0;f=l;l=l+16|0;e=f;b=WJ(b,59)|0;if(!b)d=0.0;else{g=b+1|0;a[b>>0]=0;d=+tM(g,e);d=(d>=0.0?(c[e>>2]|0)!=(g|0):0)?d:-1.0}l=f;return +d}function cu(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,i=0,j=0,k=0,m=0.0,n=0.0,o=0,p=0,q=0,r=0,s=0.0,t=0;t=l;l=l+80|0;i=t+64|0;r=t;s=+h[(c[a+16>>2]|0)+152>>3];q=$t(d,0,i)|0;if((q+-1|0)>>>0>=2){if(!e){c[r>>2]=c[b>>2];c[r+4>>2]=c[b+4>>2];c[r+8>>2]=c[b+8>>2];c[r+12>>2]=c[b+12>>2];p=r+16|0;o=b+16|0;c[p>>2]=c[o>>2];c[p+4>>2]=c[o+4>>2];c[p+8>>2]=c[o+8>>2];c[p+12>>2]=c[o+12>>2];p=r+32|0;o=b+32|0;c[p>>2]=c[o>>2];c[p+4>>2]=c[o+4>>2];c[p+8>>2]=c[o+8>>2];c[p+12>>2]=c[o+12>>2];p=r+48|0;o=b+48|0;c[p>>2]=c[o>>2];c[p+4>>2]=c[o+4>>2];c[p+8>>2]=c[o+8>>2];c[p+12>>2]=c[o+12>>2]}else{p=b+32|0;c[r>>2]=c[p>>2];c[r+4>>2]=c[p+4>>2];c[r+8>>2]=c[p+8>>2];c[r+12>>2]=c[p+12>>2];p=r+16|0;o=b+48|0;c[p>>2]=c[o>>2];c[p+4>>2]=c[o+4>>2];c[p+8>>2]=c[o+8>>2];c[p+12>>2]=c[o+12>>2];p=r+32|0;c[p>>2]=c[b>>2];c[p+4>>2]=c[b+4>>2];c[p+8>>2]=c[b+8>>2];c[p+12>>2]=c[b+12>>2];p=r+48|0;o=b+16|0;c[p>>2]=c[o>>2];c[p+4>>2]=c[o+4>>2];c[p+8>>2]=c[o+8>>2];c[p+12>>2]=c[o+12>>2]}k=r+16|0;m=+h[k>>3];f=+h[r>>3];n=m-f;o=r+32|0;h[o>>3]=f;h[k>>3]=f;p=s>.5;if(p)OD(a,.5);i=c[i>>2]|0;j=r+48|0;e=c[i+8>>2]|0;while(1){d=c[e>>2]|0;if(!d)break;b=e+4|0;if(!(+g[b>>2]==0.0)){DD(a,d);if(!(c[e+12>>2]|0))f=m;else f=n*+g[b>>2]+ +h[r>>3];h[o>>3]=f;h[k>>3]=f;HD(a,r,4,1);f=+h[k>>3];h[j>>3]=f;h[r>>3]=f}e=e+12|0}if(p)OD(a,s);au(i)}l=t;return q|0}function du(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;d=c[a+16>>2]|0;e=c[a+152>>2]|0;if(e&4259840|0){f=e&131072;g=f>>>16^2;c[d+264>>2]=g;h=d+268|0;c[h>>2]=g+2;g=d+272|0;_I(c[g>>2]|0);d=vw(c[h>>2]<<4)|0;c[g>>2]=d;c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];g=d+16|0;b=b+16|0;c[g>>2]=c[b>>2];c[g+4>>2]=c[b+4>>2];c[g+8>>2]=c[b+8>>2];c[g+12>>2]=c[b+12>>2];if(!(e&8192))fD(a,d,d,2)|0;if(!f)Zv(d)}return}function eu(a,b){a=a|0;b=b|0;var c=0,d=0.0,e=0,f=0,g=0,i=0.0,j=0.0,k=0.0,m=0.0,n=0.0,o=0,p=0,q=0;q=l;l=l+144|0;c=q+80|0;e=q+16|0;f=q;k=+h[b>>3];o=a+16|0;m=+h[o>>3];if(!(((((((((!(k>m)?(n=+h[a>>3],!(k<n)):0)?(d=+h[b+8>>3],i=+h[a+24>>3],!(d>i)):0)?(j=+h[a+8>>3],!(d<j)):0)?(k=+h[b+16>>3],!(k>m|k<n)):0)?(k=+h[b+24>>3],!(k>i|k<j)):0)?(k=+h[b+32>>3],!(k>m|k<n)):0)?(k=+h[b+40>>3],!(k>i|k<j)):0)?(k=+h[b+48>>3],!(k>m|k<n)):0)?(n=+h[b+56>>3],!(n>i|n<j)):0))p=11;a:do if((p|0)==11){if(!(fu(b)|0)){PA(f,b,3,.5,c,e);eu(a,c);eu(a,e);break}f=a+24|0;g=a+8|0;e=0;while(1){if((e|0)==4)break a;d=+h[b+(e<<4)>>3];if(!(d>+h[o>>3])){if(d<+h[a>>3]){c=a;p=16}}else{c=o;p=16}if((p|0)==16){p=0;h[c>>3]=d}d=+h[b+(e<<4)+8>>3];if(!(d>+h[f>>3])){if(d<+h[g>>3]){c=a;p=19}}else{c=o;p=19}if((p|0)==19){p=0;h[c+8>>3]=d}e=e+1|0}}while(0);l=q;return}function fu(a){a=a|0;var b=0,d=0,e=0,f=0,g=0.0,h=0,i=0;b=l;l=l+48|0;d=b+32|0;e=b+16|0;f=b;i=a+48|0;h=a+16|0;c[f>>2]=c[a>>2];c[f+4>>2]=c[a+4>>2];c[f+8>>2]=c[a+8>>2];c[f+12>>2]=c[a+12>>2];c[e>>2]=c[i>>2];c[e+4>>2]=c[i+4>>2];c[e+8>>2]=c[i+8>>2];c[e+12>>2]=c[i+12>>2];c[d>>2]=c[h>>2];c[d+4>>2]=c[h+4>>2];c[d+8>>2]=c[h+8>>2];c[d+12>>2]=c[h+12>>2];g=+cw(f,e,d);h=a+32|0;c[f>>2]=c[a>>2];c[f+4>>2]=c[a+4>>2];c[f+8>>2]=c[a+8>>2];c[f+12>>2]=c[a+12>>2];c[e>>2]=c[i>>2];c[e+4>>2]=c[i+4>>2];c[e+8>>2]=c[i+8>>2];c[e+12>>2]=c[i+12>>2];c[d>>2]=c[h>>2];c[d+4>>2]=c[h+4>>2];c[d+8>>2]=c[h+8>>2];c[d+12>>2]=c[h+12>>2];a=g<4.0&+cw(f,e,d)<4.0&1;l=b;return a|0}function gu(b,d){b=b|0;d=d|0;var e=0,f=0.0,g=0.0,i=0.0,j=0,k=0,m=0,n=0.0;m=l;l=l+16|0;k=m;j=c[b+152>>2]|0;n=+h[b+432>>3];i=+h[b+352>>3]*.013888888888888888;f=i*n;h[b+488>>3]=f;g=+h[b+440>>3];i=i*g;h[b+496>>3]=i;h[b+520>>3]=n*.013888888888888888;e=b+528|0;h[e>>3]=g*.013888888888888888;if(j&4096|c[42183]|0)h[e>>3]=g*-.013888888888888888;e=(c[b+360>>2]|0)==0;n=+((c[b+448>>2]|0)>>>0);g=+((c[b+452>>2]|0)>>>0);h[b+368>>3]=(e?n:g)/f;h[b+376>>3]=(e?g:n)/i;LD(b,FA(d,ym(d,0,86595,0)|0,174181)|0);c[b+160>>2]=0;hu(b,d);if(j&2|0)iu(b,d);e=co(d)|0;while(1){if(!e)break;a[(c[e+16>>2]|0)+116>>0]=0;e=eo(d,e)|0}ju(b,k);while(1){if(!((ku(b)|0)<<24>>24))break;if((lu(b)|0)>1)kD(b);mu(b);while(1){if(!((nu(b)|0)<<24>>24))break;ou(b,d);pu(b)}if((lu(b)|0)>1)lD(b);qu(b,k)}ru(b);l=m;return}function hu(a,b){a=a|0;b=b|0;var d=0;d=Vt(a)|0;c[d+4>>2]=0;c[d+8>>2]=b;c[d+12>>2]=0;qv(a,c[(c[b+16>>2]|0)+12>>2]|0,b);gD(a,b);return}function iu(b,c){b=b|0;c=c|0;var d=0,e=0,f=0,g=0;DD(b,119592);d=Im(c,85423)|0;if(d|0?a[d>>0]|0:0)DD(b,d);d=Im(c,86503)|0;if(d|0?a[d>>0]|0:0)BD(b,d);Cv(b,c);g=co(c)|0;while(1){if(!g)break;d=Im(g,122540)|0;if(d|0?a[d>>0]|0:0)BD(b,d);d=Im(g,122531)|0;if(d|0?a[d>>0]|0:0)DD(b,d);d=Im(g,86469)|0;do if(d|0?a[d>>0]|0:0){if(!(WJ(d,58)|0)){BD(b,d);break}e=GL(d)|0;d=e;while(1){d=DL(d,93017)|0;if(!d)break;if(!(a[d>>0]|0)){d=0;continue}BD(b,d);d=0}_I(e)}while(0);d=Im(g,86503)|0;if(d|0?a[d>>0]|0:0)BD(b,d);f=Pm(c,g)|0;while(1){if(!f)break;d=Im(f,122540)|0;do if(d|0?a[d>>0]|0:0){if(!(WJ(d,58)|0)){BD(b,d);break}e=GL(d)|0;d=e;while(1){d=DL(d,93017)|0;if(!d)break;if(!(a[d>>0]|0)){d=0;continue}BD(b,d);d=0}_I(e)}while(0);d=Im(f,86503)|0;if(d|0?a[d>>0]|0:0)BD(b,d);f=Rm(c,f)|0}g=eo(c,g)|0}return}function ju(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;e=i+8|0;g=i;h=c[a>>2]|0;d=c[h+312>>2]|0;f=a+156|0;c[f>>2]=d;h=c[h+316>>2]|0;if(!h)if((d|0)>1?(c[a+152>>2]&64|0)==0:0){c[e>>2]=c[a+52>>2];_l(0,85598,e)|0;c[f>>2]=1;e=1;d=0}else{e=1;d=0}else{d=h+4|0;if((c[h>>2]|0)>1?(c[a+152>>2]&64|0)==0:0){c[g>>2]=c[a+52>>2];_l(0,85598,g)|0;c[h+8>>2]=(c[f>>2]|0)+1}e=c[d>>2]|0;d=h+8|0}c[a+160>>2]=e;c[b>>2]=d;l=i;return}function ku(a){a=a|0;return (c[a+160>>2]|0)<=(c[a+156>>2]|0)|0}function lu(a){a=a|0;var b=0;b=c[(c[a>>2]|0)+316>>2]|0;return c[((b|0)==0?a+156|0:b)>>2]|0}function mu(a){a=a|0;var b=0,d=0;d=a+172|0;b=c[d+4>>2]|0;a=a+196|0;c[a>>2]=c[d>>2];c[a+4>>2]=b;return}function nu(a){a=a|0;var b=0,d=0;d=c[a+196>>2]|0;if(((d|0)>-1?(d|0)<(c[a+164>>2]|0):0)?(b=c[a+200>>2]|0,(b|0)>-1):0)a=(b|0)<(c[a+168>>2]|0)&1;else a=0;return a|0}function ou(d,e){d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;p=l;l=l+176|0;k=p;f=p+48|0;m=p+32|0;n=c[d+16>>2]|0;o=c[d+152>>2]|0;if((c[d+160>>2]|0)<=1?(c[d+196>>2]|0)<=0:0)h=0;else{cm(m,128,f);g=n+212|0;h=c[g>>2]|0;Zt(d,m);fm(m,h)|0;i=m+4|0;f=c[i>>2]|0;if(f>>>0>=(c[m+8>>2]|0)>>>0){dm(m,1)|0;f=c[i>>2]|0}a[f>>0]=0;f=c[m>>2]|0;c[i>>2]=f;c[g>>2]=f}ZE(Im(e,85048)|0);tu(d);iD(d);BD(d,122106);DD(d,119592);do if(o&4259840|0){if((c[n+208>>2]|0)==0?(b[n+260>>1]&1)==0:0)break;if(o&655360){i=o&131072;c[n+264>>2]=i>>>16^2;f=vw((i>>>12^32)+32|0)|0;g=d+288|0;c[f>>2]=c[g>>2];c[f+4>>2]=c[g+4>>2];c[f+8>>2]=c[g+8>>2];c[f+12>>2]=c[g+12>>2];g=f+16|0;q=d+304|0;c[g>>2]=c[q>>2];c[g+4>>2]=c[q+4>>2];c[g+8>>2]=c[q+8>>2];c[g+12>>2]=c[q+12>>2];if(!i){Zv(f);g=4}else g=2}else{f=0;g=0}if(!(o&8192))fD(d,f,f,g)|0;c[n+272>>2]=f;c[n+268>>2]=g}while(0);if(o&32768|0?(j=c[(c[e+16>>2]|0)+12>>2]|0,j|0):0)c[n+192>>2]=c[j>>2];g=(o&4|0)!=0;do if(!g){f=n+208|0;if((c[f>>2]|0)==0?(b[n+260>>1]&1)==0:0)break;q=d+256|0;c[k>>2]=c[q>>2];c[k+4>>2]=c[q+4>>2];c[k+8>>2]=c[q+8>>2];c[k+12>>2]=c[q+12>>2];c[k+16>>2]=c[q+16>>2];c[k+20>>2]=c[q+20>>2];c[k+24>>2]=c[q+24>>2];c[k+28>>2]=c[q+28>>2];du(d,k);wD(d,c[f>>2]|0,c[n+228>>2]|0,c[n+244>>2]|0,c[n+212>>2]|0)}while(0);uu(d,e);f=c[(c[e+16>>2]|0)+12>>2]|0;if(f|0)pw(d,4,f);do if(!g){if((c[n+208>>2]|0)==0?(b[n+260>>1]&1)==0:0)break;xD(d)}while(0);vu(d,e,o);jD(d);if(h|0){gm(m);c[n+212>>2]=h}l=p;return}function pu(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0;h=l;l=l+32|0;d=h+24|0;b=h+16|0;j=h+8|0;f=h;g=a+196|0;i=a+188|0;c[b>>2]=c[g>>2];c[b+4>>2]=c[g+4>>2];c[d>>2]=c[i>>2];c[d+4>>2]=c[i+4>>2];su(j,b,d);i=c[j+4>>2]|0;e=g;c[e>>2]=c[j>>2];c[e+4>>2]=i;if(!((nu(a)|0)<<24>>24)){e=a+180|0;if(!(c[a+184>>2]|0))c[a+200>>2]=c[a+176>>2];else c[g>>2]=c[a+172>>2];c[b>>2]=c[g>>2];c[b+4>>2]=c[g+4>>2];c[d>>2]=c[e>>2];c[d+4>>2]=c[e+4>>2];su(f,b,d);i=c[f+4>>2]|0;j=g;c[j>>2]=c[f>>2];c[j+4>>2]=i}l=h;return}function qu(a,b){a=a|0;b=b|0;var d=0;d=c[b>>2]|0;if(!d){d=a+160|0;c[d>>2]=(c[d>>2]|0)+1}else{c[a+160>>2]=c[d>>2];c[b>>2]=d+4}return}function ru(a){a=a|0;hD(a);Wt(a);return}function su(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=(c[d+4>>2]|0)+(c[b+4>>2]|0)|0;c[a>>2]=(c[d>>2]|0)+(c[b>>2]|0);c[a+4>>2]=e;return}function tu(a){a=a|0;var b=0.0,d=0.0,e=0.0,f=0,g=0.0,i=0,j=0,k=0,m=0,n=0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0.0;t=l;l=l+48|0;n=t+32|0;f=t+24|0;j=t+8|0;k=t+16|0;m=t;r=a+196|0;q=c[r>>2]|0;r=c[r+4>>2]|0;p=f;c[p>>2]=q;c[p+4>>2]=r;p=a+164|0;i=c[p>>2]|0;p=c[p+4>>2]|0;s=j;c[s>>2]=i;c[s+4>>2]=p;s=a+360|0;if(!(c[s>>2]|0)){k=q;j=r}else{c[n>>2]=c[f>>2];c[n+4>>2]=c[f+4>>2];Bv(k,n);r=k;k=c[r>>2]|0;r=c[r+4>>2]|0;p=f;c[p>>2]=k;c[p+4>>2]=r;c[n>>2]=c[j>>2];c[n+4>>2]=c[j+4>>2];Bv(m,n);p=m;i=c[p>>2]|0;p=c[p+4>>2]|0;c[j>>2]=i;c[j+4>>2]=p;j=r}d=+h[a+320>>3];g=d*+(k|0)-+h[a+240>>3];h[a+288>>3]=g;e=+h[a+328>>3];o=e*+(j|0)-+h[a+248>>3];h[a+296>>3]=o;h[a+304>>3]=d+g;h[a+312>>3]=e+o;f=a+472|0;if(!(c[(c[a+12>>2]|0)+28>>2]|0)){r=a+456|0;c[f>>2]=c[r>>2];c[f+4>>2]=c[r+4>>2];c[f+8>>2]=c[r+8>>2];c[f+12>>2]=c[r+12>>2]}else{q=a+456|0;c[f>>2]=c[((c[f>>2]|0)<(c[q>>2]|0)?f:q)>>2];r=a+476|0;c[r>>2]=c[((c[r>>2]|0)<(c[a+460>>2]|0)?f:q)+4>>2];r=a+480|0;c[r>>2]=c[((c[r>>2]|0)>(c[a+464>>2]|0)?f:q)+8>>2];r=a+484|0;c[r>>2]=c[((c[r>>2]|0)>(c[a+468>>2]|0)?f:q)+12>>2]}m=c[a+152>>2]|0;b=+h[a+336>>3];if(!(m&128)){b=(+(k|0)-+(i|0)*.5)*d+b;h[a+256>>3]=b;g=(+(j|0)-+(p|0)*.5)*e+ +h[a+344>>3];o=g;d=d+b;g=g+e}else{d=+h[a+368>>3]*.5;e=b-d;h[a+256>>3]=e;g=+h[a+344>>3];u=+h[a+376>>3]*.5;o=g-u;d=d+b;g=u+g;b=e}h[a+264>>3]=o;h[a+272>>3]=d;h[a+280>>3]=g;if(!(c[s>>2]|0)){e=+h[a+352>>3];h[a+504>>3]=+h[a+384>>3]/e-b;if(!(m&4096|c[42183])){d=+h[a+392>>3]/e;b=o}else{d=-g;b=+h[a+392>>3]/e}h[a+512>>3]=d-b}else{f=a+384|0;e=+h[a+352>>3];h[a+512>>3]=-g-+h[a+392>>3]/e;if(!(m&4096|c[42183]))d=+h[f>>3]/e;else{d=-d;b=+h[f>>3]/e}h[a+504>>3]=d-b}l=t;return}function uu(b,d){b=b|0;d=d|0;var e=0,f=0.0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;s=l;l=l+48|0;q=s;o=s+40|0;p=s+36|0;r=s+32|0;e=Im(d,85423)|0;if(!e){j=1;e=121990}else{i=(a[e>>0]|0)==0;j=i&1;e=i?121990:e}h=c[b+152>>2]|0;i=(a[e>>0]|0)==116;if(!(h&256))if(i){m=(xJ(e,122171)|0)==0;k=m?121990:e;m=m?1:j;n=8}else{k=e;m=j;n=8}else if(!(i?!(xJ(e,122171)|0):0)){k=e;m=j;n=8}if((n|0)==8?!((m|0)!=0&(h&33554432|0)!=0):0)if(!((xv(k,o,p)|0)<<24>>24)){DD(b,k);BD(b,122171);r=b+256|0;c[q>>2]=c[r>>2];c[q+4>>2]=c[r+4>>2];c[q+8>>2]=c[r+8>>2];c[q+12>>2]=c[r+12>>2];c[q+16>>2]=c[r+16>>2];c[q+20>>2]=c[r+20>>2];c[q+24>>2]=c[r+24>>2];c[q+28>>2]=c[r+28>>2];ID(b,q,1)}else{c[r>>2]=0;i=c[o>>2]|0;DD(b,i);BD(b,122171);wv(d,r)|0;e=c[o+4>>2]|0;h=DA(d,c[42187]|0,0,0)|0;f=+g[p>>2];if(!e)ED(b,122106,h,f);else ED(b,e,h,f);r=(c[r>>2]|0)>>>1&1|2;p=b+256|0;c[q>>2]=c[p>>2];c[q+4>>2]=c[p+4>>2];c[q+8>>2]=c[p+8>>2];c[q+12>>2]=c[p+12>>2];c[q+16>>2]=c[p+16>>2];c[q+20>>2]=c[p+20>>2];c[q+24>>2]=c[p+24>>2];c[q+28>>2]=c[p+28>>2];ID(b,q,r);_I(i)}e=c[(c[(c[d+16>>2]|0)+8>>2]|0)+88>>2]|0;if(e|0)zv(b,e);l=s;return}function vu(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;g=(c[a>>2]|0)+28|0;c[g>>2]=(c[g>>2]|0)+1;g=(d&4|0)!=0;if(!g)wu(a,b,d);a:do if(!(d&1)){if(d&16|0){qD(a);f=co(b)|0;while(1){if(!f)break;e=Pm(b,f)|0;while(1){if(!e)break;yu(a,e);e=Rm(b,e)|0}f=eo(b,f)|0}rD(a);oD(a);e=co(b)|0;while(1){if(!e)break;xu(a,e);e=eo(b,e)|0}pD(a);break}if(!(d&8)){f=co(b)|0;while(1){if(!f)break a;xu(a,f);e=Pm(b,f)|0;while(1){if(!e)break;xu(a,c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0);yu(a,e);e=Rm(b,e)|0}f=eo(b,f)|0}}oD(a);e=co(b)|0;while(1){if(!e)break;if((zu(b,e)|0)<<24>>24)xu(a,e);e=eo(b,e)|0}pD(a);qD(a);f=co(b)|0;while(1){if(!f)break;e=Pm(b,f)|0;while(1){if(!e)break;if((Au(b,e)|0)<<24>>24)yu(a,e);e=Rm(b,e)|0}f=eo(b,f)|0}rD(a)}else{oD(a);e=co(b)|0;while(1){if(!e)break;xu(a,e);e=eo(b,e)|0}pD(a);qD(a);f=co(b)|0;while(1){if(!f)break;e=Pm(b,f)|0;while(1){if(!e)break;yu(a,e);e=Rm(b,e)|0}f=eo(b,f)|0}rD(a)}while(0);if(g)wu(a,b,d);return}function wu(e,f,i){e=e|0;f=f|0;i=i|0;var j=0,k=0,m=0,n=0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0;P=l;l=l+128|0;w=P+72|0;N=P+64|0;H=P+112|0;I=P;J=P+104|0;K=f+16|0;L=(i&4|0)!=0;M=e+16|0;x=I+32|0;y=I+16|0;A=I+8|0;B=I+24|0;C=I+48|0;D=I+40|0;E=I+56|0;F=(i&8|0)==0;G=J+4|0;v=1;while(1){j=c[K>>2]|0;if((v|0)>(c[j+180>>2]|0))break;u=c[(c[j+184>>2]|0)+(v<<2)>>2]|0;if((uv(e,u)|0)<<24>>24){if(L)wu(e,u,i);vv(e,u);r=c[M>>2]|0;s=r+208|0;if(!(c[s>>2]|0))t=(b[r+260>>1]&1)!=0;else t=1;ZE(Im(u,85048)|0);if(!(L|t^1)){q=(c[u+16>>2]|0)+16|0;c[w>>2]=c[q>>2];c[w+4>>2]=c[q+4>>2];c[w+8>>2]=c[q+8>>2];c[w+12>>2]=c[q+12>>2];c[w+16>>2]=c[q+16>>2];c[w+20>>2]=c[q+20>>2];c[w+24>>2]=c[q+24>>2];c[w+28>>2]=c[q+28>>2];du(e,w);wD(e,c[s>>2]|0,c[r+228>>2]|0,c[r+244>>2]|0,c[r+212>>2]|0)}c[H>>2]=0;j=wv(u,H)|0;if(!j)p=0;else{FD(e,j);p=c[H>>2]&1}q=u+16|0;j=d[(c[q>>2]|0)+112>>0]|0;do if(!(j&1)){if(j&2|0){j=GA(u,0,91300)|0;k=GA(u,0,91308)|0;O=29;break}if(j&8|0){j=GA(u,0,91316)|0;k=GA(u,0,91324)|0;O=29;break}if(j&4|0){j=GA(u,0,91332)|0;k=GA(u,0,91340)|0;O=29;break}j=Im(u,122540)|0;if(!j)k=0;else k=(a[j>>0]|0)==0?0:j;j=Im(u,122531)|0;if(!j)j=k;else j=(a[j>>0]|0)==0?k:j;m=Im(u,86469)|0;if(m)k=(a[m>>0]|0)==0?k:m;if(!((p|0)!=0&(k|0)!=0)){m=Im(u,85423)|0;if(m|0?a[m>>0]|0:0){k=m;O=29;break}j=(j|0)==0?122106:j;n=(k|0)==0?119592:k;c[J>>2]=0;if(!p)k=0;else O=31}else O=29}else{j=GA(u,0,91284)|0;k=GA(u,0,91292)|0;O=29}while(0);if((O|0)==29){c[J>>2]=0;j=(j|0)==0?122106:j;n=(k|0)==0?119592:k;O=31}if((O|0)==31){O=0;if(!((xv(n,J,w)|0)<<24>>24)){DD(e,n);k=1}else{DD(e,c[J>>2]|0);k=c[G>>2]|0;m=DA(u,c[42187]|0,0,0)|0;o=+g[w>>2];if(!k)ED(e,122106,m,o);else ED(e,k,m,o);k=(c[H>>2]|0)>>>1&1|2}}m=c[42186]|0;if((m|0?(z=Jm(u,m)|0,z|0):0)?a[z>>0]|0:0)OD(e,+EA(u,c[42186]|0,1.0,0.0));p=c[H>>2]|0;do if(p&4){m=DA(u,c[42185]|0,1,0)|0;if(m|k|0){n=c[q>>2]|0;Q=n+16|0;c[I>>2]=c[Q>>2];c[I+4>>2]=c[Q+4>>2];c[I+8>>2]=c[Q+8>>2];c[I+12>>2]=c[Q+12>>2];n=n+32|0;c[x>>2]=c[n>>2];c[x+4>>2]=c[n+4>>2];c[x+8>>2]=c[n+8>>2];c[x+12>>2]=c[n+12>>2];h[y>>3]=+h[x>>3];h[B>>3]=+h[A>>3];h[C>>3]=+h[I>>3];h[E>>3]=+h[D>>3];if(!m)BD(e,122171);else BD(e,j);yy(e,I,4,p,k)}}else{if(!(p&64)){if(DA(u,c[42185]|0,1,0)|0){BD(e,j);Q=(c[q>>2]|0)+16|0;c[w>>2]=c[Q>>2];c[w+4>>2]=c[Q+4>>2];c[w+8>>2]=c[Q+8>>2];c[w+12>>2]=c[Q+12>>2];c[w+16>>2]=c[Q+16>>2];c[w+20>>2]=c[Q+20>>2];c[w+24>>2]=c[Q+24>>2];c[w+28>>2]=c[Q+28>>2];ID(e,w,k);break}if(!k)break;BD(e,122171);Q=(c[q>>2]|0)+16|0;c[w>>2]=c[Q>>2];c[w+4>>2]=c[Q+4>>2];c[w+8>>2]=c[Q+8>>2];c[w+12>>2]=c[Q+12>>2];c[w+16>>2]=c[Q+16>>2];c[w+20>>2]=c[Q+20>>2];c[w+24>>2]=c[Q+24>>2];c[w+28>>2]=c[Q+28>>2];ID(e,w,k);break}Q=c[q>>2]|0;p=Q+16|0;c[I>>2]=c[p>>2];c[I+4>>2]=c[p+4>>2];c[I+8>>2]=c[p+8>>2];c[I+12>>2]=c[p+12>>2];Q=Q+32|0;c[x>>2]=c[Q>>2];c[x+4>>2]=c[Q+4>>2];c[x+8>>2]=c[Q+8>>2];c[x+12>>2]=c[Q+12>>2];h[y>>3]=+h[x>>3];h[B>>3]=+h[A>>3];h[C>>3]=+h[I>>3];h[E>>3]=+h[D>>3];if(!(DA(u,c[42185]|0,1,0)|0))BD(e,122171);else BD(e,j);if((cu(e,I,n,0)|0)>1){c[N>>2]=Dn(u)|0;_l(3,85431,N)|0}Q=(c[q>>2]|0)+16|0;c[w>>2]=c[Q>>2];c[w+4>>2]=c[Q+4>>2];c[w+8>>2]=c[Q+8>>2];c[w+12>>2]=c[Q+12>>2];c[w+16>>2]=c[Q+16>>2];c[w+20>>2]=c[Q+20>>2];c[w+24>>2]=c[Q+24>>2];c[w+28>>2]=c[Q+28>>2];ID(e,w,0)}while(0);_I(c[J>>2]|0);j=c[(c[q>>2]|0)+12>>2]|0;if(j|0)pw(e,5,j);if(t){if(L){Q=(c[q>>2]|0)+16|0;c[w>>2]=c[Q>>2];c[w+4>>2]=c[Q+4>>2];c[w+8>>2]=c[Q+8>>2];c[w+12>>2]=c[Q+12>>2];c[w+16>>2]=c[Q+16>>2];c[w+20>>2]=c[Q+20>>2];c[w+24>>2]=c[Q+24>>2];c[w+28>>2]=c[Q+28>>2];du(e,w);wD(e,c[s>>2]|0,c[r+228>>2]|0,c[r+244>>2]|0,c[r+212>>2]|0)}xD(e)}a:do if(!F){k=co(u)|0;while(1){if(!k)break a;xu(e,k);j=Pm(u,k)|0;while(1){if(!j)break;yu(e,j);j=Rm(u,j)|0}k=eo(u,k)|0}}while(0);yv(e,f);if(!L)wu(e,u,i)}v=v+1|0}l=P;return}function xu(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;j=l;l=l+32|0;e=j;h=c[b>>2]|0;i=d+16|0;a:do if(((c[(c[i>>2]|0)+8>>2]|0?(mv(b,ro(d)|0,d)|0)<<24>>24:0)?(k=b+256|0,c[e>>2]=c[k>>2],c[e+4>>2]=c[k+4>>2],c[e+8>>2]=c[k+8>>2],c[e+12>>2]=c[k+12>>2],c[e+16>>2]=c[k+16>>2],c[e+20>>2]=c[k+20>>2],c[e+24>>2]=c[k+24>>2],c[e+28>>2]=c[k+28>>2],(nv(d,e)|0)<<24>>24):0)?(f=(c[i>>2]|0)+116|0,g=c[h+28>>2]|0,(g|0)!=(a[f>>0]|0)):0){a[f>>0]=g;LD(b,Dn(d)|0);e=FA(d,c[42213]|0,174181)|0;if(a[e>>0]|0)LD(b,e);e=FA(d,c[42201]|0,174181)|0;b:do if(a[e>>0]|0){Du(e)|0;e=168408;while(1){f=e;e=e+4|0;f=c[f>>2]|0;if(!f)break b;if((a[f>>0]|0)!=105)continue;if(!(xJ(f,119127)|0))break a}}while(0);ov(b,d);hb[c[(c[(c[(c[i>>2]|0)+8>>2]|0)+4>>2]|0)+20>>2]&31](b,d);e=c[(c[i>>2]|0)+108>>2]|0;if(e|0?a[e+81>>0]|0:0)pw(b,10,e);pv(b)}while(0);l=j;return}function yu(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;h=l;l=l+32|0;g=h;e=b+256|0;c[g>>2]=c[e>>2];c[g+4>>2]=c[e+4>>2];c[g+8>>2]=c[e+8>>2];c[g+12>>2]=c[e+12>>2];c[g+16>>2]=c[e+16>>2];c[g+20>>2]=c[e+20>>2];c[g+24>>2]=c[e+24>>2];c[g+28>>2]=c[e+28>>2];a:do if((Bu(d,g)|0)<<24>>24?(f=d+-48|0,(Cu(b,d)|0)<<24>>24):0){i=d+48|0;e=rJ(Dn(c[((c[d>>2]&3|0)==3?d:i)+40>>2]|0)|0)|0;e=ZI(e+3+(rJ(Dn(c[((c[d>>2]&3|0)==2?d:f)+40>>2]|0)|0)|0)|0)|0;xK(e,Dn(c[((c[d>>2]&3|0)==3?d:i)+40>>2]|0)|0)|0;i=(qn(ro(c[((c[d>>2]&3|0)==2?d:f)+40>>2]|0)|0)|0)==0;g=e+(rJ(e)|0)|0;if(i){a[g>>0]=a[122549]|0;a[g+1>>0]=a[122550]|0;a[g+2>>0]=a[122551]|0}else{a[g>>0]=a[122546]|0;a[g+1>>0]=a[122547]|0;a[g+2>>0]=a[122548]|0}IL(e,Dn(c[((c[d>>2]&3|0)==2?d:f)+40>>2]|0)|0)|0;LD(b,e);_I(e);e=FA(d,c[42235]|0,174181)|0;if(a[e>>0]|0)LD(b,e);e=FA(d,c[42229]|0,174181)|0;b:do if(!(a[e>>0]|0))e=0;else{Du(e)|0;e=168408;while(1){f=e;e=e+4|0;f=c[f>>2]|0;if(!f){e=168408;break b}if((a[f>>0]|0)!=105)continue;if(!(xJ(f,119127)|0))break a}}while(0);Eu(b,d,e);Fu(b,d,e);Gu(b)}while(0);l=h;return}function zu(a,b){a=a|0;b=b|0;var d=0,e=0;d=a+16|0;a=1;while(1){e=c[d>>2]|0;if((a|0)>(c[e+180>>2]|0)){a=1;break}if(!(Bo(c[(c[e+184>>2]|0)+(a<<2)>>2]|0,b)|0))a=a+1|0;else{a=0;break}}return a|0}function Au(a,b){a=a|0;b=b|0;var d=0,e=0;d=a+16|0;a=1;while(1){e=c[d>>2]|0;if((a|0)>(c[e+180>>2]|0)){a=1;break}if(!(Bo(c[(c[e+184>>2]|0)+(a<<2)>>2]|0,b)|0))a=a+1|0;else{a=0;break}}return a|0}function Bu(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0;j=l;l=l+64|0;i=j+32|0;f=j;g=b+16|0;b=c[g>>2]|0;e=c[b+8>>2]|0;if((e|0)!=0?(e=e+8|0,c[f>>2]=c[e>>2],c[f+4>>2]=c[e+4>>2],c[f+8>>2]=c[e+8>>2],c[f+12>>2]=c[e+12>>2],c[f+16>>2]=c[e+16>>2],c[f+20>>2]=c[e+20>>2],c[f+24>>2]=c[e+24>>2],c[f+28>>2]=c[e+28>>2],c[i>>2]=c[d>>2],c[i+4>>2]=c[d+4>>2],c[i+8>>2]=c[d+8>>2],c[i+12>>2]=c[d+12>>2],c[i+16>>2]=c[d+16>>2],c[i+20>>2]=c[d+20>>2],c[i+24>>2]=c[d+24>>2],c[i+28>>2]=c[d+28>>2],(lv(f,i)|0)!=0):0)b=1;else h=3;do if((h|0)==3){e=c[b+96>>2]|0;if(e){c[i>>2]=c[d>>2];c[i+4>>2]=c[d+4>>2];c[i+8>>2]=c[d+8>>2];c[i+12>>2]=c[d+12>>2];c[i+16>>2]=c[d+16>>2];c[i+20>>2]=c[d+20>>2];c[i+24>>2]=c[d+24>>2];c[i+28>>2]=c[d+28>>2];if((CB(e,i)|0)<<24>>24){b=1;break}b=c[g>>2]|0}b=c[b+108>>2]|0;if((b|0?a[b+81>>0]|0:0)?(c[i>>2]=c[d>>2],c[i+4>>2]=c[d+4>>2],c[i+8>>2]=c[d+8>>2],c[i+12>>2]=c[d+12>>2],c[i+16>>2]=c[d+16>>2],c[i+20>>2]=c[d+20>>2],c[i+24>>2]=c[d+24>>2],c[i+28>>2]=c[d+28>>2],(CB(b,i)|0)<<24>>24):0){b=1;break}b=0}while(0);l=j;return b|0}function Cu(b,d){b=b|0;d=d|0;var e=0,f=0;a:do if((c[b+156>>2]|0)>=2?(e=FA(d,c[42234]|0,174181)|0,(hv(b,e)|0)<<24>>24==0):0)if(!(a[e>>0]|0)){e=0;while(1){if((e|0)>=2){e=0;break a}f=(e|0)==1;f=FA(c[((c[d>>2]&3|0)==((f?2:3)|0)?d:d+((f?-1:1)*48|0)|0)+40>>2]|0,c[42211]|0,174181)|0;if(!(a[f>>0]|0)){e=1;break a}if(!((hv(b,f)|0)<<24>>24))e=e+1|0;else{e=1;break}}}else e=0;else e=1;while(0);return e|0}function Du(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;p=l;l=l+192|0;o=p+24|0;n=p+16|0;m=p+8|0;k=p;g=p+48|0;j=p+32|0;if(a[85305]|0){cm(168672,128,173948);a[85305]=0}cm(j,128,p+56|0);c[g>>2]=b;h=j+4|0;i=j+8|0;d=0;e=0;a:while(1){f=d;b:while(1)switch(fv(g,j)|0){case 0:{d=21;break a}case 40:if(!(f<<24>>24)){f=1;continue b}else{d=7;break a}case 41:if(!(f<<24>>24)){d=9;break a}else{f=0;continue b}default:break b}if(!(f<<24>>24)){if((e|0)==63){d=12;break}d=c[42169]|0;if(d>>>0>=(c[42170]|0)>>>0){dm(168672,1)|0;d=c[42169]|0}c[42169]=d+1;a[d>>0]=0;c[168408+(e<<2)>>2]=c[42169];e=e+1|0}d=c[h>>2]|0;if(d>>>0>=(c[i>>2]|0)>>>0){dm(j,1)|0;d=c[h>>2]|0}a[d>>0]=0;d=c[j>>2]|0;c[h>>2]=d;fm(168672,d)|0;d=c[42169]|0;if(d>>>0>=(c[42170]|0)>>>0){dm(168672,1)|0;d=c[42169]|0}c[42169]=d+1;a[d>>0]=0;d=f}do if((d|0)==7){c[k>>2]=b;_l(1,85306,k)|0;c[42102]=0;gm(j)}else if((d|0)==9){c[m>>2]=b;_l(1,85340,m)|0;c[42102]=0;gm(j)}else if((d|0)==12){c[n>>2]=b;_l(0,85368,n)|0;c[42165]=0;gm(j)}else if((d|0)==21){if(f<<24>>24){c[o>>2]=b;_l(1,85391,o)|0;c[42102]=0;gm(j);break}c[168408+(e<<2)>>2]=0;gm(j);d=c[42169]|0;if(d>>>0>=(c[42170]|0)>>>0){dm(168672,1)|0;d=c[42169]|0}a[d>>0]=0;c[42169]=c[42168]}while(0);l=p;return 168408}function Eu(d,f,g){d=d|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0;A=l;l=l+160|0;y=A+24|0;w=A+20|0;v=A+16|0;o=A;p=A+32|0;x=c[d+152>>2]|0;c[y>>2]=0;c[w>>2]=0;c[v>>2]=0;z=Vt(d)|0;c[z+4>>2]=3;c[z+8>>2]=f;c[z+12>>2]=9;t=f+16|0;n=c[(c[t>>2]|0)+96>>2]|0;if((n|0?(a[n+82>>0]|0)==0:0)?(JA(Im(f,85121)|0,0)|0)<<24>>24:0){n=z+260|0;b[n>>1]=b[n>>1]|512}if(g|0?c[(c[t>>2]|0)+8>>2]|0:0)FD(d,g);g=c[42250]|0;if((g|0?(i=Jm(f,g)|0,i|0):0)?a[i>>0]|0:0)OD(d,+EA(f,c[42250]|0,1.0,0.0));do if(x&16777216|0){g=f+48|0;if((e[(c[(ro(c[((c[f>>2]&3|0)==3?f:g)+40>>2]|0)|0)+16>>2]|0)+178>>1]|0)>2){m=+h[(c[(c[(c[((c[f>>2]&3|0)==3?f:g)+40>>2]|0)+16>>2]|0)+132>>2]|0)+16>>3]*72.0;h[z+176>>3]=+(~~(m+(m>=0.0?.5:-.5))|0);m=+h[(c[(c[(c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0)+16>>2]|0)+132>>2]|0)+16>>3]*72.0;h[z+184>>3]=+(~~(m+(m>=0.0?.5:-.5))|0);break}else{n=z+176|0;c[n>>2]=0;c[n+4>>2]=0;c[n+8>>2]=0;c[n+12>>2]=0;break}}while(0);if(x&32768|0){n=c[t>>2]|0;g=c[n+96>>2]|0;if(!g)g=c[z+192>>2]|0;else{g=c[g>>2]|0;c[z+192>>2]=g}i=z+196|0;c[i>>2]=g;k=z+204|0;c[k>>2]=g;j=z+200|0;c[j>>2]=g;g=c[n+108>>2]|0;if(g|0)c[i>>2]=c[g>>2];g=c[n+104>>2]|0;if(g|0)c[j>>2]=c[g>>2];g=c[n+100>>2]|0;if(g|0)c[k>>2]=c[g>>2]}if(!(x&65536))j=0;else{cm(o,128,p);c[z+212>>2]=qw(Yt(d,f,o)|0,f)|0;gm(o);g=Im(f,96264)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0)q=31;else{g=Im(f,96269)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0)q=31;else i=0}if((q|0)==31)i=qw(g,f)|0;g=Im(f,85134)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0)q=36;else q=34;do if((q|0)==34){g=Im(f,85143)|0;if(g|0?a[g>>0]|0:0){q=36;break}if(i|0){g=GL(i)|0;q=39}}while(0);if((q|0)==36){g=qw(g,f)|0;q=39}if((q|0)==39)c[z+208>>2]=g;g=Im(f,85151)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0)q=44;else q=42;do if((q|0)==42){g=Im(f,85161)|0;if(g|0?a[g>>0]|0:0){q=44;break}if(i|0){g=GL(i)|0;q=47}}while(0);if((q|0)==44){g=qw(g,f)|0;q=47}if((q|0)==47)c[z+216>>2]=g;g=Im(f,85170)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0)q=52;else q=50;do if((q|0)==50){g=Im(f,85179)|0;if(g|0?a[g>>0]|0:0){q=52;break}if(i|0)c[z+220>>2]=GL(i)|0}while(0);if((q|0)==52){c[z+220>>2]=qw(g,f)|0;q=z+260|0;b[q>>1]=b[q>>1]|128}g=Im(f,85187)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0)q=59;else q=57;do if((q|0)==57){g=Im(f,85196)|0;if(g|0?a[g>>0]|0:0){q=59;break}if(i|0)c[z+224>>2]=GL(i)|0}while(0);if((q|0)==59){c[z+224>>2]=qw(g,f)|0;q=z+260|0;b[q>>1]=b[q>>1]|256}j=i}do if(x&8388608){g=Im(f,85204)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0)i=qw(g,f)|0;else i=0;g=Im(f,85211)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0){q=z+260|0;b[q>>1]=b[q>>1]|64;g=qw(g,f)|0;q=72}else q=70;if((q|0)==70?i|0:0){g=GL(i)|0;q=72}if((q|0)==72)c[z+244>>2]=g;g=Im(f,85222)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0){g=qw(g,f)|0;q=78}else q=76;if((q|0)==76?i|0:0){g=GL(i)|0;q=78}if((q|0)==78)c[z+248>>2]=g;g=Im(f,85234)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0){c[z+252>>2]=qw(g,f)|0;p=z+260|0;b[p>>1]=b[p>>1]|16}else q=82;if((q|0)==82?i|0:0)c[z+252>>2]=GL(i)|0;g=Im(f,85245)|0;if(g|0?a[g>>0]|0:0){q=z+260|0;b[q>>1]=b[q>>1]|32;c[z+256>>2]=qw(g,f)|0;break}if(i)c[z+256>>2]=GL(i)|0;else i=0}else i=0;while(0);do if(x&4194304|0){g=Im(f,96229)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0)q=94;else q=92;do if((q|0)==92){g=Im(f,85256)|0;if(g|0?a[g>>0]|0:0){q=94;break}g=c[z+192>>2]|0;if(g|0)c[z+228>>2]=GL(g)|0}while(0);if((q|0)==94){p=Zu(g,f)|0;c[z+228>>2]=qw(p,f)|0;_I(p);p=z+260|0;b[p>>1]=b[p>>1]|1}g=Im(f,85268)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0){p=Zu(g,f)|0;c[z+232>>2]=qw(p,f)|0;_I(p);p=z+260|0;b[p>>1]=b[p>>1]|8}else q=100;if((q|0)==100?(r=c[z+192>>2]|0,r|0):0)c[z+232>>2]=GL(r)|0;g=Im(f,85281)|0;if((g|0)!=0?(a[g>>0]|0)!=0:0){r=Zu(g,f)|0;c[z+236>>2]=qw(r,f)|0;_I(r);r=z+260|0;b[r>>1]=b[r>>1]|2}else q=105;if((q|0)==105?(s=c[z+200>>2]|0,s|0):0)c[z+236>>2]=GL(s)|0;g=Im(f,85293)|0;if(g|0?a[g>>0]|0:0){s=Zu(g,f)|0;c[z+240>>2]=qw(s,f)|0;_I(s);s=z+260|0;b[s>>1]=b[s>>1]|4;break}g=c[z+204>>2]|0;if(g|0)c[z+240>>2]=GL(g)|0}while(0);_I(j);_I(i);do if(x&4259840|0?(u=c[(c[t>>2]|0)+8>>2]|0,u|0):0){if(!(c[z+208>>2]|0)){if((x&524288|0)==0|(c[z+228>>2]|0)==0)break}else if(!(x&524288))break;m=+h[(c[d+16>>2]|0)+152>>3]*.5;m=m>2.0?m:2.0;i=c[u+4>>2]|0;g=0;while(1){if((g|0)>=(i|0))break;_u(y,w,v,(c[u>>2]|0)+(g*48|0)|0,m);g=g+1|0}j=c[v>>2]|0;c[z+276>>2]=j;k=c[w>>2]|0;c[z+280>>2]=k;if(!(x&8192)){g=0;i=0;while(1){if((i|0)>=(j|0))break;g=(c[k+(i<<2)>>2]|0)+g|0;i=i+1|0}y=c[y>>2]|0;fD(d,y,y,g)|0;g=y}else g=c[y>>2]|0;c[z+284>>2]=g;c[z+264>>2]=2;c[z+272>>2]=g;c[z+268>>2]=c[k>>2]}while(0);uD(d,f);g=c[z+208>>2]|0;if(!((g|0)==0?!(b[z+260>>1]&1):0))wD(d,g,c[z+228>>2]|0,c[z+244>>2]|0,c[z+212>>2]|0);l=A;return}function Fu(b,e,f){b=b|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0.0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0.0,N=0.0,O=0,P=0,Q=0,R=0,S=0;P=l;l=l+240|0;L=P+224|0;K=P+208|0;x=P+128|0;w=P+112|0;O=P+64|0;C=P+48|0;D=P+32|0;E=P+16|0;F=P;G=P+192|0;H=P+176|0;y=P+160|0;B=P+144|0;c[E>>2]=0;c[E+4>>2]=0;c[E+8>>2]=0;c[E+12>>2]=0;M=+h[(c[b+16>>2]|0)+152>>3];ZE(Im(e,85048)|0);J=e+16|0;a:do if(c[(c[J>>2]|0)+8>>2]|0){N=+EA(e,c[42232]|0,1.0,0.0);k=FA(e,c[42220]|0,174181)|0;v=(f|0)!=0;b:do if(v){g=f;while(1){i=g;g=g+4|0;i=c[i>>2]|0;if(!i){o=0;break b}if((a[i>>0]|0)!=116)continue;if(!(xJ(i,95939)|0)){o=1;break}}}else o=0;while(0);j=k;q=0;i=0;c:while(1){switch(a[j>>0]|0){case 0:break c;case 58:{g=q+1|0;break}case 59:{g=q;i=i+1|0;break}default:g=q}j=j+1|0;q=g}n=(q|0)!=0;if((i|0)!=0&n)if(!(Nu(b,e,f,k,q+1|0,N,M)|0))break;else m=122106;else m=k;g=d[(c[J>>2]|0)+115>>0]|0;if(!(g&1))if(!(g&2))if(!(g&8))if(!(g&4)){i=m;j=GA(e,c[42221]|0,m)|0}else{j=91340;g=91332;k=168888;i=168888;p=18}else{j=91324;g=91316;k=168888;i=168888;p=18}else{j=91308;g=91300;k=168888;i=168888;p=18}else{j=91292;g=91284;k=168888;i=168888;p=18}if((p|0)==18){i=c[i>>2]|0;i=GA(e,i,Ou(m,g)|0)|0;g=GA(e,c[k>>2]|0,j)|0;if((i|0)==(m|0)){i=m;j=g}else{BD(b,i);j=g}}if((j|0)!=(m|0))DD(b,j);if(o<<24>>24){i=(a[i>>0]|0)==0?122106:i;g=(a[j>>0]|0)==0?122106:j;BD(b,122171);DD(b,i);u=O;r=c[c[(c[J>>2]|0)+8>>2]>>2]|0;s=u+48|0;do{c[u>>2]=c[r>>2];u=u+4|0;r=r+4|0}while((u|0)<(s|0));J=dA(O,Pu(e)|0,M,0,0)|0;HD(b,c[J+8>>2]|0,c[J>>2]|0,1);Qu(J);BD(b,i);if((g|0)!=(i|0))DD(b,g);g=c[O+8>>2]|0;if(g|0){I=O+16|0;J=c[O>>2]|0;c[K>>2]=c[I>>2];c[K+4>>2]=c[I+4>>2];c[K+8>>2]=c[I+8>>2];c[K+12>>2]=c[I+12>>2];c[L>>2]=c[J>>2];c[L+4>>2]=c[J+4>>2];c[L+8>>2]=c[J+8>>2];c[L+12>>2]=c[J+12>>2];St(b,2,K,L,N,M,g)}g=c[O+12>>2]|0;if(!g)break;J=O+32|0;O=(c[O>>2]|0)+((c[O+4>>2]|0)+-1<<4)|0;c[K>>2]=c[J>>2];c[K+4>>2]=c[J+4>>2];c[K+8>>2]=c[J+8>>2];c[K+12>>2]=c[J+12>>2];c[L>>2]=c[O>>2];c[L+4>>2]=c[O+4>>2];c[L+8>>2]=c[O+8>>2];c[L+12>>2]=c[O+12>>2];St(b,3,K,L,N,M,g);break}g=c[J>>2]|0;if(!n){do if(!(a[g+115>>0]&3)){if(a[i>>0]|0){BD(b,i);DD(b,j);break}BD(b,122106);if(!(a[j>>0]|0)){DD(b,122106);break}else{DD(b,j);break}}while(0);k=b+152|0;m=O+4|0;n=O+8|0;o=O+12|0;p=O+32|0;q=O+16|0;j=0;while(1){g=c[(c[J>>2]|0)+8>>2]|0;if((j|0)>=(c[g+4>>2]|0))break a;u=O;r=(c[g>>2]|0)+(j*48|0)|0;s=u+48|0;do{c[u>>2]=c[r>>2];u=u+4|0;r=r+4|0}while((u|0)<(s|0));g=c[O>>2]|0;i=c[m>>2]|0;do if(!(c[k>>2]&16384)){JD(b,g,i,0,0,0);g=c[n>>2]|0;if(g|0){I=c[O>>2]|0;c[K>>2]=c[q>>2];c[K+4>>2]=c[q+4>>2];c[K+8>>2]=c[q+8>>2];c[K+12>>2]=c[q+12>>2];c[L>>2]=c[I>>2];c[L+4>>2]=c[I+4>>2];c[L+8>>2]=c[I+8>>2];c[L+12>>2]=c[I+12>>2];St(b,2,K,L,N,M,g)}g=c[o>>2]|0;if(g|0){I=(c[O>>2]|0)+((c[m>>2]|0)+-1<<4)|0;c[K>>2]=c[p>>2];c[K+4>>2]=c[p+4>>2];c[K+8>>2]=c[p+8>>2];c[K+12>>2]=c[p+12>>2];c[L>>2]=c[I>>2];c[L+4>>2]=c[I+4>>2];c[L+8>>2]=c[I+8>>2];c[L+12>>2]=c[I+12>>2];St(b,3,K,L,N,M,g)}if((c[(c[(c[J>>2]|0)+8>>2]|0)+4>>2]|0)>1){if(!(c[n>>2]|0)){if(!(v&(c[o>>2]|0)!=0))break}else if(!v)break;FD(b,f)}}else JD(b,g,i,c[n>>2]|0,c[o>>2]|0,0);while(0);j=j+1|0}}I=c[(c[g+8>>2]|0)+4>>2]|0;A=I*48|0;z=ZI(A)|0;A=ZI(A)|0;t=+(q+2|0)*.5;v=O+4|0;p=C+8|0;q=D+8|0;e=E+8|0;f=F+8|0;o=0;while(1){if((o|0)>=(I|0))break;u=O;r=(c[c[(c[J>>2]|0)+8>>2]>>2]|0)+(o*48|0)|0;s=u+48|0;do{c[u>>2]=c[r>>2];u=u+4|0;r=r+4|0}while((u|0)<(s|0));g=c[v>>2]|0;c[z+(o*48|0)+4>>2]=g;c[A+(o*48|0)+4>>2]=g;n=g<<4;m=ZI(n)|0;c[z+(o*48|0)>>2]=m;n=ZI(n)|0;c[A+(o*48|0)>>2]=n;k=c[O>>2]|0;c[F>>2]=c[k>>2];c[F+4>>2]=c[k+4>>2];c[F+8>>2]=c[k+8>>2];c[F+12>>2]=c[k+12>>2];k=0;while(1){if((k|0)>=(g+-1|0))break;c[C>>2]=c[F>>2];c[C+4>>2]=c[F+4>>2];c[C+8>>2]=c[F+8>>2];c[C+12>>2]=c[F+12>>2];g=k+1|0;j=(c[O>>2]|0)+(g<<4)|0;c[D>>2]=c[j>>2];c[D+4>>2]=c[j+4>>2];c[D+8>>2]=c[j+8>>2];c[D+12>>2]=c[j+12>>2];j=m+(k<<4)|0;if(!k){c[K>>2]=c[C>>2];c[K+4>>2]=c[C+4>>2];c[K+8>>2]=c[C+8>>2];c[K+12>>2]=c[C+12>>2];c[L>>2]=c[D>>2];c[L+4>>2]=c[D+4>>2];c[L+8>>2]=c[D+8>>2];c[L+12>>2]=c[D+12>>2];Ru(G,K,L);c[j>>2]=c[G>>2];c[j+4>>2]=c[G+4>>2];c[j+8>>2]=c[G+8>>2];c[j+12>>2]=c[G+12>>2]}else{c[K>>2]=c[E>>2];c[K+4>>2]=c[E+4>>2];c[K+8>>2]=c[E+8>>2];c[K+12>>2]=c[E+12>>2];c[L>>2]=c[D>>2];c[L+4>>2]=c[D+4>>2];c[L+8>>2]=c[D+8>>2];c[L+12>>2]=c[D+12>>2];Ru(H,K,L);c[j>>2]=c[H>>2];c[j+4>>2]=c[H+4>>2];c[j+8>>2]=c[H+8>>2];c[j+12>>2]=c[H+12>>2]}R=c[O>>2]|0;s=k+2|0;S=R+(s<<4)|0;c[E>>2]=c[S>>2];c[E+4>>2]=c[S+4>>2];c[E+8>>2]=c[S+8>>2];c[E+12>>2]=c[S+12>>2];u=k+3|0;R=R+(u<<4)|0;c[F>>2]=c[R>>2];c[F+4>>2]=c[R+4>>2];c[F+8>>2]=c[R+8>>2];c[F+12>>2]=c[R+12>>2];Q=m+(g<<4)|0;r=m+(s<<4)|0;c[w>>2]=c[C>>2];c[w+4>>2]=c[C+4>>2];c[w+8>>2]=c[C+8>>2];c[w+12>>2]=c[C+12>>2];c[x>>2]=c[D>>2];c[x+4>>2]=c[D+4>>2];c[x+8>>2]=c[D+8>>2];c[x+12>>2]=c[D+12>>2];c[K>>2]=c[S>>2];c[K+4>>2]=c[S+4>>2];c[K+8>>2]=c[S+8>>2];c[K+12>>2]=c[S+12>>2];c[L>>2]=c[R>>2];c[L+4>>2]=c[R+4>>2];c[L+8>>2]=c[R+8>>2];c[L+12>>2]=c[R+12>>2];Su(y,w,x,K,L);c[r>>2]=c[y>>2];c[r+4>>2]=c[y+4>>2];c[r+8>>2]=c[y+8>>2];c[r+12>>2]=c[y+12>>2];c[Q>>2]=c[y>>2];c[Q+4>>2]=c[y+4>>2];c[Q+8>>2]=c[y+8>>2];c[Q+12>>2]=c[y+12>>2];h[n+(k<<4)>>3]=+h[C>>3]-+h[j>>3]*t;h[n+(k<<4)+8>>3]=+h[p>>3]-+h[m+(k<<4)+8>>3]*t;h[n+(g<<4)>>3]=+h[D>>3]-+h[Q>>3]*t;h[n+(g<<4)+8>>3]=+h[q>>3]-+h[m+(g<<4)+8>>3]*t;h[n+(s<<4)>>3]=+h[E>>3]-+h[r>>3]*t;h[n+(s<<4)+8>>3]=+h[e>>3]-+h[m+(s<<4)+8>>3]*t;k=u;g=c[v>>2]|0}S=m+(k<<4)|0;c[K>>2]=c[E>>2];c[K+4>>2]=c[E+4>>2];c[K+8>>2]=c[E+8>>2];c[K+12>>2]=c[E+12>>2];c[L>>2]=c[F>>2];c[L+4>>2]=c[F+4>>2];c[L+8>>2]=c[F+8>>2];c[L+12>>2]=c[F+12>>2];Ru(B,K,L);c[S>>2]=c[B>>2];c[S+4>>2]=c[B+4>>2];c[S+8>>2]=c[B+8>>2];c[S+12>>2]=c[B+12>>2];h[n+(k<<4)>>3]=+h[F>>3]-+h[S>>3]*t;h[n+(k<<4)+8>>3]=+h[f>>3]-+h[m+(k<<4)+8>>3]*t;o=o+1|0}s=GL(i)|0;f=0;r=i;g=i;j=i;i=s;while(1){i=DL(i,93017)|0;if(!i)break;e=(a[i>>0]|0)==0?122106:i;if((e|0)!=(j|0))if(!(a[(c[J>>2]|0)+115>>0]&3)){BD(b,e);DD(b,e);j=e}else j=e;m=(f|0)==0;n=f>>>0<2;i=0;while(1){if((i|0)>=(I|0))break;o=c[A+(i*48|0)>>2]|0;p=c[z+(i*48|0)>>2]|0;q=c[A+(i*48|0)+4>>2]|0;k=0;while(1){if((k|0)>=(q|0))break;S=o+(k<<4)|0;h[S>>3]=+h[S>>3]+ +h[p+(k<<4)>>3];S=o+(k<<4)+8|0;h[S>>3]=+h[S>>3]+ +h[p+(k<<4)+8>>3];k=k+1|0}JD(b,o,q,0,0,0);i=i+1|0}f=f+1|0;r=m?e:r;g=n?e:g;i=0}i=c[O+8>>2]|0;if(!i)i=0;else{if(g){if(!(a[(c[J>>2]|0)+115>>0]&3)){BD(b,g);DD(b,g)}}else g=0;R=O+16|0;S=c[O>>2]|0;c[K>>2]=c[R>>2];c[K+4>>2]=c[R+4>>2];c[K+8>>2]=c[R+8>>2];c[K+12>>2]=c[R+12>>2];c[L>>2]=c[S>>2];c[L+4>>2]=c[S+4>>2];c[L+8>>2]=c[S+8>>2];c[L+12>>2]=c[S+12>>2];St(b,2,K,L,N,M,i);i=g}j=O+12|0;g=c[j>>2]|0;if(g|0){if((i|0)!=(r|0)?(a[(c[J>>2]|0)+115>>0]&3)==0:0){BD(b,r);DD(b,r);g=c[j>>2]|0}R=O+32|0;S=(c[O>>2]|0)+((c[v>>2]|0)+-1<<4)|0;c[K>>2]=c[R>>2];c[K+4>>2]=c[R+4>>2];c[K+8>>2]=c[R+8>>2];c[K+12>>2]=c[R+12>>2];c[L>>2]=c[S>>2];c[L+4>>2]=c[S+4>>2];c[L+8>>2]=c[S+8>>2];c[L+12>>2]=c[S+12>>2];St(b,3,K,L,N,M,g)}_I(s);g=0;while(1){if((g|0)>=(I|0))break;_I(c[z+(g*48|0)>>2]|0);_I(c[A+(g*48|0)>>2]|0);g=g+1|0}_I(z);_I(A)}while(0);l=P;return}function Gu(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0;x=l;l=l+64|0;r=x+48|0;u=x+32|0;t=x+16|0;s=x;w=c[a+16>>2]|0;v=c[w+8>>2]|0;q=w+208|0;if(!((c[q>>2]|0)==0?!(b[w+260>>1]&1):0))d=3;a:do if((d|0)==3?(xD(a),p=w+276|0,e=c[p>>2]|0,e|0):0){h=w+280|0;d=c[h>>2]|0;i=w+268|0;j=w+284|0;k=w+272|0;m=w+228|0;n=w+244|0;o=w+212|0;f=c[d>>2]|0;g=1;while(1){if((g|0)>=(e|0))break a;c[i>>2]=c[d+(g<<2)>>2];c[k>>2]=(c[j>>2]|0)+(f<<4);wD(a,c[q>>2]|0,c[m>>2]|0,c[n>>2]|0,c[o>>2]|0);xD(a);y=c[h>>2]|0;f=(c[y+(g<<2)>>2]|0)+f|0;g=g+1|0;e=c[p>>2]|0;d=y}}while(0);c[w+268>>2]=0;c[w+272>>2]=0;q=v+16|0;d=c[q>>2]|0;e=c[d+8>>2]|0;if(!e)f=w+260|0;else{p=c[e>>2]|0;d=c[p>>2]|0;y=c[p+8>>2]|0;o=p+16|0;c[t>>2]=c[o>>2];c[t+4>>2]=c[o+4>>2];c[t+8>>2]=c[o+8>>2];c[t+12>>2]=c[o+12>>2];p=p+32|0;c[s>>2]=c[p>>2];c[s+4>>2]=c[p+4>>2];c[s+8>>2]=c[p+8>>2];c[s+12>>2]=c[p+12>>2];if(!y){c[u>>2]=c[d>>2];c[u+4>>2]=c[d+4>>2];c[u+8>>2]=c[d+8>>2];c[u+12>>2]=c[d+12>>2]}else{c[u>>2]=c[t>>2];c[u+4>>2]=c[t+4>>2];c[u+8>>2]=c[t+8>>2];c[u+12>>2]=c[t+12>>2]}f=w+260|0;p=b[f>>1]|0;o=c[w+220>>2]|0;c[r>>2]=c[u>>2];c[r+4>>2]=c[u+4>>2];c[r+8>>2]=c[u+8>>2];c[r+12>>2]=c[u+12>>2];Hu(a,r,(p<<8&65535)<<16>>16>>15&255,o,(p<<14&65535)<<16>>16>>15&255);p=c[(c[q>>2]|0)+8>>2]|0;o=c[p>>2]|0;p=(c[p+4>>2]|0)+-1|0;d=c[o+(p*48|0)>>2]|0;e=c[o+(p*48|0)+4>>2]|0;y=c[o+(p*48|0)+12>>2]|0;n=o+(p*48|0)+16|0;c[t>>2]=c[n>>2];c[t+4>>2]=c[n+4>>2];c[t+8>>2]=c[n+8>>2];c[t+12>>2]=c[n+12>>2];t=o+(p*48|0)+32|0;c[s>>2]=c[t>>2];c[s+4>>2]=c[t+4>>2];c[s+8>>2]=c[t+8>>2];c[s+12>>2]=c[t+12>>2];if(!y){y=d+(e+-1<<4)|0;c[u>>2]=c[y>>2];c[u+4>>2]=c[y+4>>2];c[u+8>>2]=c[y+8>>2];c[u+12>>2]=c[y+12>>2]}else{c[u>>2]=c[s>>2];c[u+4>>2]=c[s+4>>2];c[u+8>>2]=c[s+8>>2];c[u+12>>2]=c[s+12>>2]}d=b[f>>1]|0;y=c[w+224>>2]|0;c[r>>2]=c[u>>2];c[r+4>>2]=c[u+4>>2];c[r+8>>2]=c[u+8>>2];c[r+12>>2]=c[u+12>>2];Hu(a,r,(d<<7&65535)<<16>>16>>15&255,y,(d<<13&65535)<<16>>16>>15&255);d=c[q>>2]|0}e=c[d+96>>2]|0;g=(b[f>>1]<<12&65535)<<16>>16>>15<<16>>16;m=w+216|0;h=c[m>>2]|0;n=w+232|0;i=c[n>>2]|0;o=w+248|0;j=c[o>>2]|0;p=w+212|0;k=c[p>>2]|0;if(!((IA(FA(v,c[42230]|0,122100)|0)|0)<<24>>24))d=0;else d=c[(c[q>>2]|0)+8>>2]|0;Iu(a,e,11,g,h,i,j,k,d);j=c[(c[q>>2]|0)+108>>2]|0;k=(b[f>>1]<<12&65535)<<16>>16>>15<<16>>16;i=c[m>>2]|0;h=c[n>>2]|0;e=c[o>>2]|0;g=c[p>>2]|0;if(!((IA(FA(v,c[42230]|0,122100)|0)|0)<<24>>24))d=0;else d=c[(c[q>>2]|0)+8>>2]|0;Iu(a,j,11,k,i,h,e,g,d);Iu(a,c[(c[q>>2]|0)+100>>2]|0,7,(b[f>>1]<<13&65535)<<16>>16>>15<<16>>16,c[w+224>>2]|0,c[w+240>>2]|0,c[w+256>>2]|0,c[p>>2]|0,0);Iu(a,c[(c[q>>2]|0)+104>>2]|0,6,(b[f>>1]<<14&65535)<<16>>16>>15<<16>>16,c[w+220>>2]|0,c[w+236>>2]|0,c[w+252>>2]|0,c[p>>2]|0,0);vD(a);Wt(a);l=x;return}function Hu(a,d,e,f,g){a=a|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0;j=l;l=l+16|0;h=j;i=c[a+16>>2]|0;if(!(e<<24>>24))f=c[i+208>>2]|0;if(!(g<<24>>24==0?((f|0)==0?(b[i+260>>1]&1)==0:0):0)){c[h>>2]=c[d>>2];c[h+4>>2]=c[d+4>>2];c[h+8>>2]=c[d+8>>2];c[h+12>>2]=c[d+12>>2];Mu(a,h)}l=j;return}function Iu(b,d,e,f,g,h,i,j,k){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;i=i|0;j=j|0;k=k|0;var m=0,n=0,o=0,p=0,q=0,r=0;r=l;l=l+16|0;o=r;q=c[b+152>>2]|0;if(d|0?a[d+81>>0]|0:0){if(!j)n=0;else{n=vw((rJ(j)|0)+11|0)|0;switch(e|0){case 11:{m=86240;break}case 7:{m=86656;break}case 6:{m=86666;break}default:ma(123205,84925,2730,85060)}c[o>>2]=j;c[o+4>>2]=m;pL(n,85076,o)|0}o=b+16|0;j=(c[o>>2]|0)+12|0;p=c[j>>2]|0;c[j>>2]=e;j=(f|0)!=0|(g|0)!=0;m=(q&4|0)==0;if(j&m){Ju(b,d);wD(b,g,h,i,n)}pw(b,e,d);if(k|0)Ku(b,d,k);if(j){if(!m){Ju(b,d);wD(b,g,h,i,n)}xD(b)}_I(n);c[(c[o>>2]|0)+12>>2]=p}l=r;return}function Ju(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0;d=c[a+16>>2]|0;e=c[a+152>>2]|0;if(e&4259840|0){f=e&131072;i=f>>>16^2;c[d+264>>2]=i;j=d+268|0;c[j>>2]=i+2;i=d+272|0;_I(c[i>>2]|0);d=vw(c[j>>2]<<4)|0;c[i>>2]=d;i=b+56|0;j=b+24|0;h[d>>3]=+h[i>>3]-+h[j>>3]*.5;g=b+64|0;b=b+32|0;h[d+8>>3]=+h[g>>3]-+h[b>>3]*.5;h[d+16>>3]=+h[j>>3]*.5+ +h[i>>3];h[d+24>>3]=+h[b>>3]*.5+ +h[g>>3];if(!(e&8192))fD(a,d,d,2)|0;if(!f)Zv(d)}return}function Ku(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0.0;o=l;l=l+96|0;g=o+80|0;i=o+32|0;j=o+16|0;k=o;f=c[d>>2]|0;while(1){m=a[f>>0]|0;if(!(m<<24>>24))break;if(!(XJ(m&255)|0)){n=4;break}else f=f+1|0}if((n|0)==4){p=+h[d+24>>3];m=d+56|0;Lu(i,+h[m>>3]+p*.5,+h[d+64>>3]-+h[d+32>>3]*.5);n=i+16|0;Lu(j,+h[i>>3]-p,+h[i+8>>3]);c[n>>2]=c[j>>2];c[n+4>>2]=c[j+4>>2];c[n+8>>2]=c[j+8>>2];c[n+12>>2]=c[j+12>>2];n=i+32|0;c[g>>2]=c[m>>2];c[g+4>>2]=c[m+4>>2];c[g+8>>2]=c[m+8>>2];c[g+12>>2]=c[m+12>>2];VA(k,e,g);c[n>>2]=c[k>>2];c[n+4>>2]=c[k+4>>2];c[n+8>>2]=c[k+8>>2];c[n+12>>2]=c[k+12>>2];FD(b,c[(c[b>>2]|0)+336>>2]|0);BD(b,c[d+8>>2]|0);KD(b,i,3)}l=o;return}function Lu(a,b,c){a=a|0;b=+b;c=+c;h[a>>3]=b;h[a+8>>3]=c;return}function Mu(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0.0,i=0.0,j=0,k=0;d=c[a+16>>2]|0;e=c[a+152>>2]|0;if(e&4259840|0){f=e&131072;j=f>>>16^2;c[d+264>>2]=j;k=d+268|0;c[k>>2]=j+2;j=d+272|0;_I(c[j>>2]|0);d=vw(c[k>>2]<<4)|0;c[j>>2]=d;i=+h[b>>3];h[d>>3]=i+-3.0;g=+h[b+8>>3];h[d+8>>3]=g+-3.0;h[d+16>>3]=i+3.0;h[d+24>>3]=g+3.0;if(!(e&8192))fD(a,d,d,2)|0;if(!f)Zv(d)}return}function Nu(a,b,d,e,f,h,i){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;h=+h;i=+i;var j=0,k=0,m=0.0,n=0.0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0;J=l;l=l+256|0;D=J+224|0;C=J+208|0;j=J+192|0;F=J+144|0;G=J+96|0;H=J+48|0;E=J;k=J+240|0;e=$t(e,f,k)|0;if((e|0)>1){z=b+48|0;A=ro(c[((c[b>>2]&3|0)==3?b:z)+40>>2]|0)|0;z=Dn(c[((c[b>>2]&3|0)==3?b:z)+40>>2]|0)|0;A=(qn(A)|0)!=0;B=Dn(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0;c[j>>2]=z;c[j+4>>2]=A?85095:85100;c[j+8>>2]=B;_l(3,85105,j)|0;if((e|0)==2)e=1;else I=4}else if((e|0)==1)e=1;else I=4;if((I|0)==4){B=b+16|0;r=c[k>>2]|0;s=r+8|0;t=H+4|0;u=F+8|0;v=F+12|0;w=(d|0)!=0;q=(d|0)==0;x=F+32|0;y=F+4|0;z=F+16|0;A=E+4|0;e=0;p=0;while(1){f=c[(c[B>>2]|0)+8>>2]|0;if((p|0)>=(c[f+4>>2]|0))break;j=F;f=(c[f>>2]|0)+(p*48|0)|0;b=j+48|0;do{c[j>>2]=c[f>>2];j=j+4|0;f=f+4|0}while((j|0)<(b|0));b=1;m=1.0;o=c[s>>2]|0;a:while(1){f=c[o>>2]|0;if(!f)break;k=o+4|0;n=+g[k>>2];do if(n<1.0e-05&n>-1.0e-05)f=b;else{BD(a,f);n=+g[k>>2];m=m-n;e=c[o>>2]|0;if(b|0){Xu(F,n,H,E);k=c[H>>2]|0;JD(a,k,c[t>>2]|0,0,0,0);_I(k);if(m<1.0e-05&m>-1.0e-05){I=11;break a}else{f=0;break}}if(m<1.0e-05&m>-1.0e-05){I=13;break a}j=G;f=E;b=j+48|0;do{c[j>>2]=c[f>>2];j=j+4|0;f=f+4|0}while((j|0)<(b|0));n=+g[k>>2];Xu(G,n/(m+n),H,E);_I(c[G>>2]|0);f=c[H>>2]|0;JD(a,f,c[t>>2]|0,0,0,0);_I(f);f=0}while(0);b=f;o=o+12|0}if((I|0)==11){I=0;_I(c[E>>2]|0)}else if((I|0)==13){I=0;o=c[E>>2]|0;JD(a,o,c[A>>2]|0,0,0,0);_I(o)}if(c[u>>2]|0){BD(a,c[c[s>>2]>>2]|0);DD(a,c[c[s>>2]>>2]|0);k=c[F>>2]|0;o=c[u>>2]|0;c[C>>2]=c[z>>2];c[C+4>>2]=c[z+4>>2];c[C+8>>2]=c[z+8>>2];c[C+12>>2]=c[z+12>>2];c[D>>2]=c[k>>2];c[D+4>>2]=c[k+4>>2];c[D+8>>2]=c[k+8>>2];c[D+12>>2]=c[k+12>>2];St(a,2,C,D,h,i,o)}if(c[v>>2]|0){BD(a,e);DD(a,e);k=(c[F>>2]|0)+((c[y>>2]|0)+-1<<4)|0;o=c[v>>2]|0;c[C>>2]=c[x>>2];c[C+4>>2]=c[x+4>>2];c[C+8>>2]=c[x+8>>2];c[C+12>>2]=c[x+12>>2];c[D>>2]=c[k>>2];c[D+4>>2]=c[k+4>>2];c[D+8>>2]=c[k+8>>2];c[D+12>>2]=c[k+12>>2];St(a,3,C,D,h,i,o)}do if((c[(c[(c[B>>2]|0)+8>>2]|0)+4>>2]|0)>1){if(!(c[u>>2]|0)){if(!(w&(c[v>>2]|0)!=0))break}else if(q)break;FD(a,d)}while(0);p=p+1|0}au(r);e=0}l=J;return e|0}function Ou(b,d){b=b|0;d=d|0;var e=0,f=0;e=1;a:while(1){switch(a[b>>0]|0){case 0:break a;case 58:{e=e+1|0;break}default:{}}b=b+1|0}f=O((rJ(d)|0)+1|0,e)|0;b=f+10|0;if((c[42166]|0)<(f|0)){c[42166]=b;b=aJ(c[42167]|0,b)|0;c[42167]=b}else b=c[42167]|0;xK(b,d)|0;while(1){e=e+-1|0;b=c[42167]|0;if(!e)break;f=b+(rJ(b)|0)|0;a[f>>0]=58;a[f+1>>0]=0;IL(b,d)|0}return b|0}function Pu(b){b=b|0;var d=0,e=0;d=c[42228]|0;a:do if(!d)e=7;else{d=Jm(b,d)|0;switch(a[d>>0]|0){case 110:if(!(xJ(d,120501)|0)){d=1;break a}else{e=7;break a}case 102:if(!(xJ(d,85082)|0)){d=2;break a}else{e=7;break a}case 98:{if(!(xJ(d,85090)|0)){d=3;break a}if(!(xJ(d,96056)|0)){d=4;break a}else{e=7;break a}}default:{e=7;break a}}}while(0);if((e|0)==7){d=(qn(ro(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0)|0)!=0;d=d?2:1}return d|0}function Qu(a){a=a|0;if(a|0){_I(c[a+8>>2]|0);_I(a)}return}function Ru(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0,f=0.0;e=+h[b>>3]-+h[c>>3];f=+h[b+8>>3]-+h[c+8>>3];d=2.0/+C(+(e*e+.0001+f*f));h[a>>3]=d*f;h[a+8>>3]=-(e*d);return}function Su(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0.0,j=0.0;g=+h[c>>3]-+h[d>>3];i=+h[c+8>>3]-+h[d+8>>3];f=+C(+(i*i+g*g));if(f<.0001){j=+h[b>>3]-+h[e>>3];f=+h[b+8>>3]-+h[e+8>>3];i=f;g=j;f=+C(+(j*j+.0001+f*f))}j=2.0/f;h[a>>3]=i*j;h[a+8>>3]=-(j*g);return}function Tu(a,b,c){a=+a;b=+b;c=+c;return +(c*.5*(1.0-a/b))}function Uu(a,b,c){a=+a;b=+b;c=+c;return +(c*.5)}function Vu(a,b,c){a=+a;b=+b;c=+c;return +(c*.5*(a/b))}function Wu(a,b,c){a=+a;b=+b;c=+c;b=a/b;return +((!(b<=.5)?1.0-b:b)*c)}function Xu(a,b,d,e){a=a|0;b=+b;d=d|0;e=e|0;var f=0.0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0.0,r=0,s=0;p=l;l=l+16|0;o=p;n=c[a+4>>2]|0;j=(n+-1|0)/3|0;if((n+-4|0)>>>0<3){c[d+4>>2]=4;c[d>>2]=vw(64)|0;c[e+4>>2]=4;n=vw(64)|0;c[e>>2]=n;PA(o,c[a>>2]|0,3,b,c[d>>2]|0,n)}else{n=vw(j<<3)|0;g=0;i=c[a>>2]|0;f=0.0;while(1){if((g|0)>=(j|0))break;q=+Yu(i);h[n+(g<<3)>>3]=q;g=g+1|0;i=i+48|0;f=q+f}b=f*b;m=0;f=0.0;while(1){if((j|0)<=(m|0))break;f=+h[n+(m<<3)>>3]+f;if(f>=b)break;m=m+1|0}k=m*3|0;g=k+4|0;i=d+4|0;c[i>>2]=g;c[d>>2]=vw(g<<4)|0;g=((j-m|0)*3|0)+1|0;j=e+4|0;c[j>>2]=g;c[e>>2]=vw(g<<4)|0;g=0;while(1){if((g|0)>=(c[i>>2]|0))break;r=(c[d>>2]|0)+(g<<4)|0;s=(c[a>>2]|0)+(g<<4)|0;c[r>>2]=c[s>>2];c[r+4>>2]=c[s+4>>2];c[r+8>>2]=c[s+8>>2];c[r+12>>2]=c[s+12>>2];g=g+1|0}g=g+-4|0;i=0;while(1){if((i|0)>=(c[j>>2]|0))break;s=(c[e>>2]|0)+(i<<4)|0;r=(c[a>>2]|0)+(g<<4)|0;c[s>>2]=c[r>>2];c[s+4>>2]=c[r+4>>2];c[s+8>>2]=c[r+8>>2];c[s+12>>2]=c[r+12>>2];g=g+1|0;i=i+1|0}q=+h[n+(m<<3)>>3];PA(o,(c[a>>2]|0)+(k<<4)|0,3,(b-f+q)/q,(c[d>>2]|0)+(k<<4)|0,c[e>>2]|0);_I(n)}l=p;return}function Yu(a){a=a|0;var b=0.0,c=0.0,d=0.0,e=0.0,f=0.0;e=+h[a+16>>3];d=+h[a>>3]-e;f=+h[a+24>>3];b=+h[a+8>>3]-f;d=+C(+(b*b+d*d));b=+h[a+32>>3];e=e-b;c=+h[a+40>>3];f=f-c;d=+C(+(f*f+e*e))+d;b=b-+h[a+48>>3];c=c-+h[a+56>>3];return +(d+ +C(+(c*c+b*b)))}function Zu(b,d){b=b|0;d=d|0;d=so(d)|0;if((a[(c[d+16>>2]|0)+115>>0]|0)==1)d=yB(b)|0;else d=vB(b,d)|0;return ev(d)|0}function _u(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=+f;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;q=l;l=l+1664|0;m=q+1600|0;n=q+800|0;o=q;p=ww(24)|0;c[p+16>>2]=1;j=((c[e+4>>2]|0)+-1|0)/3|0;h=0;i=p;while(1){if((h|0)>=(j|0))break;k=h*3|0;g=0;while(1){if((g|0)==4)break;r=m+(g<<4)|0;s=(c[e>>2]|0)+(g+k<<4)|0;c[r>>2]=c[s>>2];c[r+4>>2]=c[s+4>>2];c[r+8>>2]=c[s+8>>2];c[r+12>>2]=c[s+12>>2];g=g+1|0}h=h+1|0;i=$u(m,i)|0}g=0;h=0;i=p;while(1){if(!i){h=p;g=p;break}j=c[i+16>>2]|0;k=n+(g<<4)|0;e=o+(g<<4)|0;av(h,i,j,k,e,f);g=g+1|0;if(!((g|0)==50|(j|0)==0)){h=i;i=j;continue}bv(a,b,d,g,n,o);c[n>>2]=c[k>>2];c[n+4>>2]=c[k+4>>2];c[n+8>>2]=c[k+8>>2];c[n+12>>2]=c[k+12>>2];c[o>>2]=c[e>>2];c[o+4>>2]=c[e+4>>2];c[o+8>>2]=c[e+8>>2];c[o+12>>2]=c[e+12>>2];h=i;g=1;i=j}while(1){if(!h)break;s=c[h+16>>2]|0;_I(g);h=s;g=s}l=q;return}function $u(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;g=l;l=l+144|0;f=g+128|0;d=g+64|0;e=g;if(!(fu(a)|0)){PA(f,a,3,.5,d,e);d=$u(e,$u(d,b)|0)|0}else{d=b+16|0;if((c[d>>2]|0)==1){c[d>>2]=0;c[b>>2]=c[a>>2];c[b+4>>2]=c[a+4>>2];c[b+8>>2]=c[a+8>>2];c[b+12>>2]=c[a+12>>2]}d=a+48|0;c[f>>2]=c[d>>2];c[f+4>>2]=c[d+4>>2];c[f+8>>2]=c[d+8>>2];c[f+12>>2]=c[d+12>>2];d=dv(f,b)|0}l=g;return d|0}function av(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=+g;var i=0.0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0.0,t=0.0;r=l;l=l+96|0;n=r+80|0;m=r+64|0;k=r+48|0;o=r+32|0;p=r+16|0;q=r;c[o>>2]=c[b>>2];c[o+4>>2]=c[b+4>>2];c[o+8>>2]=c[b+8>>2];c[o+12>>2]=c[b+12>>2];do if(a){c[p>>2]=c[a>>2];c[p+4>>2]=c[a+4>>2];c[p+8>>2]=c[a+8>>2];c[p+12>>2]=c[a+12>>2];if(!d){i=+h[o>>3];h[q>>3]=i*2.0-+h[p>>3];j=+h[o+8>>3];h[q+8>>3]=j*2.0-+h[p+8>>3];break}else{c[q>>2]=c[d>>2];c[q+4>>2]=c[d+4>>2];c[q+8>>2]=c[d+8>>2];c[q+12>>2]=c[d+12>>2];i=+h[o>>3];j=+h[o+8>>3];break}}else{c[q>>2]=c[d>>2];c[q+4>>2]=c[d+4>>2];c[q+8>>2]=c[d+8>>2];c[q+12>>2]=c[d+12>>2];i=+h[o>>3];h[p>>3]=i*2.0-+h[q>>3];j=+h[o+8>>3];h[p+8>>3]=j*2.0-+h[q+8>>3]}while(0);c[k>>2]=c[p>>2];c[k+4>>2]=c[p+4>>2];c[k+8>>2]=c[p+8>>2];c[k+12>>2]=c[p+12>>2];c[m>>2]=c[o>>2];c[m+4>>2]=c[o+4>>2];c[m+8>>2]=c[o+8>>2];c[m+12>>2]=c[o+12>>2];c[n>>2]=c[q>>2];c[n+4>>2]=c[q+4>>2];c[n+8>>2]=c[q+8>>2];c[n+12>>2]=c[q+12>>2];t=+cv(k,m,n);s=+E(+t)*g;g=+F(+t)*g;h[e>>3]=i+s;h[e+8>>3]=j+g;h[f>>3]=i-s;h[f+8>>3]=j-g;l=r;return}function bv(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,l=0;i=e<<1;j=c[d>>2]|0;h=0;k=0;while(1){if((h|0)>=(j|0))break;l=(c[(c[b>>2]|0)+(h<<2)>>2]|0)+k|0;h=h+1|0;k=l}l=j+1|0;c[d>>2]=l;l=yw(c[b>>2]|0,l<<2)|0;c[b>>2]=l;c[l+(h<<2)>>2]=i;c[a>>2]=yw(c[a>>2]|0,k+i<<4)|0;b=i+-1+k|0;h=0;while(1){if((h|0)>=(e|0))break;l=(c[a>>2]|0)+(h+k<<4)|0;j=f+(h<<4)|0;c[l>>2]=c[j>>2];c[l+4>>2]=c[j+4>>2];c[l+8>>2]=c[j+8>>2];c[l+12>>2]=c[j+12>>2];l=(c[a>>2]|0)+(b-h<<4)|0;j=g+(h<<4)|0;c[l>>2]=c[j>>2];c[l+4>>2]=c[j+4>>2];c[l+8>>2]=c[j+8>>2];c[l+12>>2]=c[j+12>>2];h=h+1|0}return}function cv(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0,f=0.0;f=+h[b+8>>3];d=+h[b>>3];e=+K(+(+h[c+8>>3]-f),+(+h[c>>3]-d));d=+K(+(+h[a+8>>3]-f),+(+h[a>>3]-d));e=e-d;return +((e>0.0?e+-6.283185307179586:e)*.5+d)}function dv(a,b){a=a|0;b=b|0;var d=0;d=ww(24)|0;c[d+16>>2]=0;c[d>>2]=c[a>>2];c[d+4>>2]=c[a+4>>2];c[d+8>>2]=c[a+8>>2];c[d+12>>2]=c[a+12>>2];c[b+16>>2]=d;return d|0}function ev(b){b=b|0;var c=0,d=0,e=0,f=0,g=0;c=b;f=b;a:while(1){e=0;while(1){d=c;c=c+1|0;d=a[d>>0]|0;if(!(d<<24>>24))break a;if(e<<24>>24){g=5;break}if(d<<24>>24!=92)break;else e=1}b:do if((g|0)==5){g=0;switch(d<<24>>24|0){case 114:{d=13;break b}case 108:case 110:{d=10;break b}default:break b}}while(0);a[f>>0]=d;f=f+1|0}a[f>>0]=0;return b|0}function fv(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;e=c[b>>2]|0;while(1){g=a[e>>0]|0;if(!(g<<24>>24)){f=0;break}f=g<<24>>24;if(!(g<<24>>24==44|(XJ(f)|0)!=0)){h=5;break}e=e+1|0}a:do if((h|0)==5){switch(f|0){case 0:{f=0;break a}case 41:case 40:{e=e+1|0;break a}default:{}}h=d+4|0;i=d+8|0;while(1){if((gv(g<<24>>24)|0)<<24>>24){f=1;break a}f=c[h>>2]|0;if(f>>>0>=(c[i>>2]|0)>>>0){dm(d,1)|0;f=c[h>>2]|0}c[h>>2]=f+1;a[f>>0]=g;f=e+1|0;e=f;g=a[f>>0]|0}}while(0);c[b>>2]=e;return f|0}function gv(a){a=a|0;switch(a|0){case 0:case 44:case 41:case 40:{a=1;break}default:a=0}return a|0}function hv(a,b){a=a|0;b=b|0;return iv(c[a>>2]|0,c[a+160>>2]|0,c[a+156>>2]|0,b)|0}function iv(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+160|0;k=o+20|0;m=o+16|0;n=o;c[k>>2]=0;c[m>>2]=0;cm(n,128,o+24|0);fm(n,f)|0;g=n+4|0;f=c[g>>2]|0;if(f>>>0>=(c[n+8>>2]|0)>>>0){dm(n,1)|0;f=c[g>>2]|0}a[f>>0]=0;h=c[n>>2]|0;c[g>>2]=h;i=b+300|0;j=b+296|0;f=0;g=h;a:while(1){if(f){f=1;break}f=FL(g,c[i>>2]|0,k)|0;if(!f){f=0;break}g=FL(f,c[j>>2]|0,m)|0;h=(g|0)!=0;if(h)f=FL(0,c[j>>2]|0,m)|0;else f=0;switch(((f|0)!=0&1)+(h&1)&3){case 2:{g=jv(b,g,0)|0;f=jv(b,f,e)|0;h=(g|0)>(f|0);f=(f&g|0)>-1&(((h?g:f)|0)>=(d|0)&((h?f:g)|0)<=(d|0));g=0;continue a}case 1:{f=(jv(b,g,d)|0)==(d|0);g=0;continue a}default:{f=0;g=0;continue a}}}gm(n);l=o;return f|0}function jv(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;h=a[d>>0]|0;if(!(h<<24>>24==97?(xJ(d,85419)|0)==0:0))f=3;a:do if((f|0)==3){if((kv(d)|0)<<24>>24){e=rM(d)|0;break}g=c[b+308>>2]|0;if(!g)e=-1;else{b=c[b+312>>2]|0;e=1;while(1){if((e|0)>(b|0)){e=-1;break a}f=c[g+(e<<2)>>2]|0;if(h<<24>>24==(a[f>>0]|0)?(xJ(d,f)|0)==0:0)break a;e=e+1|0}}}while(0);return e|0}function kv(b){b=b|0;var c=0;while(1){c=a[b>>0]|0;if(!(c<<24>>24)){b=1;break}if(((c&255)+-48|0)>>>0<10)b=b+1|0;else{b=0;break}}return b|0}function lv(a,b){a=a|0;b=b|0;if((+h[a+16>>3]>=+h[b>>3]?+h[b+16>>3]>=+h[a>>3]:0)?+h[a+24>>3]>=+h[b+8>>3]:0)a=+h[b+24>>3]>=+h[a+8>>3]&1;else a=0;return a|0}function mv(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0;a:do if((c[b+156>>2]|0)>=2?(f=FA(e,c[42211]|0,174181)|0,(hv(b,f)|0)<<24>>24==0):0)if(!(a[f>>0]|0))if(!(Um(d,e)|0))f=1;else{f=Um(d,e)|0;while(1){if(!f){f=0;break a}g=FA(f,c[42234]|0,174181)|0;if(!(a[g>>0]|0)){f=1;break a}if((hv(b,g)|0)<<24>>24){f=1;break a}f=Vm(d,f,e)|0}}else f=0;else f=1;while(0);return f|0}function nv(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=l;l=l+64|0;e=d+32|0;f=d;a=(c[a+16>>2]|0)+48|0;c[f>>2]=c[a>>2];c[f+4>>2]=c[a+4>>2];c[f+8>>2]=c[a+8>>2];c[f+12>>2]=c[a+12>>2];c[f+16>>2]=c[a+16>>2];c[f+20>>2]=c[a+20>>2];c[f+24>>2]=c[a+24>>2];c[f+28>>2]=c[a+28>>2];c[e>>2]=c[b>>2];c[e+4>>2]=c[b+4>>2];c[e+8>>2]=c[b+8>>2];c[e+12>>2]=c[b+12>>2];c[e+16>>2]=c[b+16>>2];c[e+20>>2]=c[b+20>>2];c[e+24>>2]=c[b+24>>2];c[e+28>>2]=c[b+28>>2];b=(lv(f,e)|0)&255;l=d;return b|0}function ov(a,d){a=a|0;d=d|0;var f=0.0,g=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0.0,r=0,s=0,t=0,u=0.0,v=0.0;r=c[a+152>>2]|0;s=Vt(a)|0;c[s+4>>2]=2;c[s+8>>2]=d;c[s+12>>2]=8;if(r&16777216|0){if((e[(c[(ro(d)|0)+16>>2]|0)+178>>1]|0)>2){f=+h[(c[(c[d+16>>2]|0)+132>>2]|0)+16>>3]*72.0;f=+(~~(f+(f>=0.0?.5:-.5))|0)}else f=0.0;h[s+168>>3]=f}k=d+16|0;qv(a,c[(c[k>>2]|0)+104>>2]|0,d);do if(r&4259840|0){if((c[s+208>>2]|0)==0?(b[s+260>>1]&1)==0:0)break;p=By(d)|0;l=c[k>>2]|0;f=+h[l+16>>3];q=+h[l+24>>3];l=rv(d)|0;a:do if((p|2|0)==3){n=c[(c[k>>2]|0)+12>>2]|0;if(!((sv(n)|0)<<24>>24))g=0;else g=(c[n+4>>2]|l|0)!=0;if(!((r&524288|0)==0|((n|0)==0|g))){i=n+8|0;o=c[i>>2]|0;o=(o|0)<3?1:o;j=n+4|0;m=c[j>>2]|0;m=(m|0)>1?m:1;p=c[n+44>>2]|0;g=Im(d,87739)|0;if(!g)g=0;else g=rM(g)|0;g=(g+-4|0)>>>0>56?20:g;if(!(c[j>>2]|l)){c[s+264>>2]=0;i=vw(32)|0;g=c[k>>2]|0;v=+h[g+88>>3];h[i>>3]=f-v;u=+h[g+80>>3]*.5;h[i+8>>3]=q-u;h[i+16>>3]=v+f;h[i+24>>3]=u+q;g=2;break}i=c[i>>2]|0;if(((i|0)<3?+h[n+32>>3]==0.0:0)?+h[n+24>>3]==0.0:0){i=s+264|0;if(c[n>>2]|0){c[i>>2]=1;i=vw(32)|0;h[i>>3]=f;h[i+8>>3]=q;g=(m<<1)+-1|0;h[i+16>>3]=+h[p+(g<<4)>>3]+f;h[i+24>>3]=+h[p+(g<<4)+8>>3]+q;g=2;break}c[i>>2]=2;i=(m<<1)+-1|0;i=tv(+h[p+(i<<4)>>3],+h[p+(i<<4)+8>>3],g)|0;j=0;while(1){if((j|0)>=(g|0))break a;p=i+(j<<4)|0;h[p>>3]=+h[p>>3]+f;p=i+(j<<4)+8|0;h[p>>3]=+h[p>>3]+q;j=j+1|0}}m=O(i,m+-1|0)|0;c[s+264>>2]=2;if((i|0)<(g|0)){i=vw(o<<4)|0;g=0;while(1){if((g|0)>=(o|0)){g=o;break a}n=g+m|0;h[i+(g<<4)>>3]=+h[p+(n<<4)>>3]+f;h[i+(g<<4)+8>>3]=+h[p+(n<<4)+8>>3]+q;g=g+1|0}}else{l=(i|0)/(g|0)|0;i=vw(g<<4)|0;j=0;k=0;while(1){if((j|0)>=(g|0))break a;o=k+m|0;h[i+(j<<4)>>3]=+h[p+(o<<4)>>3]+f;h[i+(j<<4)+8>>3]=+h[p+(o<<4)+8>>3]+q;j=j+1|0;k=k+l|0}}}else t=31}else t=31;while(0);if((t|0)==31){c[s+264>>2]=0;i=vw(32)|0;g=c[k>>2]|0;h[i>>3]=f-+h[g+88>>3];v=+h[g+80>>3]*.5;h[i+8>>3]=q-v;h[i+16>>3]=+h[g+96>>3]+f;h[i+24>>3]=v+q;g=2}if(!(r&8192))fD(a,i,i,g)|0;c[s+272>>2]=i;c[s+268>>2]=g}while(0);ZE(Im(d,85048)|0);sD(a,d);return}function pv(a){a=a|0;tD(a);Wt(a);return}function qv(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+144|0;j=m;f=Im(e,96264)|0;i=Im(e,96229)|0;k=Im(e,85204)|0;cm(j,128,m+16|0);if(!d)h=0;else h=c[d>>2]|0;if(!((f|0)!=0?(a[f>>0]|0)!=0:0))f=Im(e,96269)|0;g=Yt(b,e,j)|0;if(!i)d=0;else d=Zu(i,e)|0;Xt(b,h,f,d,k,g,e)|0;_I(d);gm(j);l=m;return}function rv(b){b=b|0;var d=0,e=0;b=GA(b,c[42201]|0,174181)|0;a:do if(!(a[b>>0]|0))b=0;else{Du(b)|0;b=0;d=168408;while(1){e=c[d>>2]|0;if(!e)break a;e=(xJ(e,95923)|0)==0;b=e?1:b;d=d+4|0}}while(0);return b|0}function sv(a){a=a|0;var b=0.0;if(((c[a+8>>2]|0)==4?(b=+h[a+16>>3],((~~(b+(b>=0.0?.5:-.5))|0)%90|0|0)==0):0)?+h[a+24>>3]==0.0:0)a=+h[a+32>>3]==0.0&1;else a=0;return a|0}function tv(a,b,c){a=+a;b=+b;c=c|0;var d=0.0,e=0,f=0.0,g=0;f=6.283185307179586/+(c|0);g=vw(c<<4)|0;d=0.0;e=0;while(1){if((e|0)>=(c|0))break;h[g+(e<<4)>>3]=+E(+d)*a;h[g+(e<<4)+8>>3]=+F(+d)*b;d=d+f;e=e+1|0}return g|0}function uv(b,d){b=b|0;d=d|0;var e=0;a:do if((c[b+156>>2]|0)>=2?(e=FA(d,ym(d,0,86583,0)|0,174181)|0,(hv(b,e)|0)<<24>>24==0):0)if(!(a[e>>0]|0)){e=co(d)|0;while(1){if(!e){e=0;break a}if((mv(b,d,e)|0)<<24>>24){e=1;break a}e=eo(d,e)|0}}else e=0;else e=1;while(0);return e|0}function vv(a,b){a=a|0;b=b|0;var d=0;d=Vt(a)|0;c[d+4>>2]=1;c[d+8>>2]=b;c[d+12>>2]=1;qv(a,c[(c[b+16>>2]|0)+12>>2]|0,b);mD(a,b);return}function wv(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0;b=Im(b,86479)|0;a:do if((b|0)!=0?(a[b>>0]|0)!=0:0){Du(b)|0;e=168408;b=0;while(1){while(1){f=c[e>>2]|0;if(!f){e=168408;break a}if(!(xJ(f,95923)|0)){g=10;break}if(!(xJ(f,91378)|0)){f=e;g=12;break}if(!(xJ(f,91385)|0)){f=e;g=14;break}if(!(xJ(f,91360)|0)){f=e;g=16;break}e=e+4|0}if((g|0)==10){e=e+4|0;b=b|1;continue}else if((g|0)==12){while(1){h=f;f=f+4|0;g=c[f>>2]|0;c[h>>2]=g;if(!g)break;else g=12}b=b|3;continue}else if((g|0)==14){while(1){g=f;f=f+4|0;h=c[f>>2]|0;c[g>>2]=h;if(!h)break;else g=14}b=b|64;continue}else if((g|0)==16){while(1){g=f;f=f+4|0;h=c[f>>2]|0;c[g>>2]=h;if(!h)break;else g=16}b=b|4;continue}}}else{e=0;b=0}while(0);c[d>>2]=b;return e|0}function xv(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,h=0,i=0,j=0,k=0,m=0;k=l;l=l+16|0;i=k;j=k+4|0;c[j>>2]=0;m=($t(b,0,j)|0)==0;j=c[j>>2]|0;if((m?(f=c[j>>2]|0,(f|0)>=2):0)?(h=j+8|0,(c[c[h>>2]>>2]|0)!=0):0){if((f|0)>2)_l(0,85446,i)|0;m=ww((rJ(b)|0)+1|0)|0;c[d>>2]=m;xK(m,c[c[h>>2]>>2]|0)|0;if(!(c[(c[h>>2]|0)+12>>2]|0))c[d+4>>2]=0;else{m=c[d>>2]|0;m=m+((rJ(m)|0)+1)|0;c[d+4>>2]=m;xK(m,c[(c[h>>2]|0)+12>>2]|0)|0}b=c[h>>2]|0;do if(!(a[b+8>>0]|0))if(!(a[b+20>>0]|0)){g[e>>2]=0.0;break}else{g[e>>2]=1.0-+g[b+16>>2];break}else c[e>>2]=c[b+4>>2];while(0);au(j);b=1}else{c[d>>2]=0;au(j);b=0}l=k;return b|0}function yv(a,b){a=a|0;b=b|0;nD(a,b);Wt(a);return}function zv(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,i=0,j=0,k=0.0,m=0.0,n=0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0;x=l;l=l+96|0;p=x+48|0;s=x+16|0;w=x+8|0;v=x;t=x+80|0;c[t>>2]=1e3;f=ww(16e3)|0;u=a+256|0;e=1;j=1;i=0;q=0;r=c[b+8>>2]|0;while(1){if((q|0)>=(c[b>>2]|0))break;d=c[r>>2]|0;a:do switch(d|0){case 1:case 0:{n=r+80|0;c[s>>2]=c[n>>2];c[s+4>>2]=c[n+4>>2];c[s+8>>2]=c[n+8>>2];c[s+12>>2]=c[n+12>>2];c[s+16>>2]=c[n+16>>2];c[s+20>>2]=c[n+20>>2];c[s+24>>2]=c[n+24>>2];c[s+28>>2]=c[n+28>>2];c[p>>2]=c[u>>2];c[p+4>>2]=c[u+4>>2];c[p+8>>2]=c[u+8>>2];c[p+12>>2]=c[u+12>>2];c[p+16>>2]=c[u+16>>2];c[p+20>>2]=c[u+20>>2];c[p+24>>2]=c[u+24>>2];c[p+28>>2]=c[u+28>>2];if(!(lv(s,p)|0))d=j;else{z=r+8|0;A=r+24|0;h[f>>3]=+h[z>>3]-+h[A>>3];n=r+16|0;y=r+32|0;h[f+8>>3]=+h[n>>3]-+h[y>>3];h[f+16>>3]=+h[A>>3]+ +h[z>>3];h[f+24>>3]=+h[y>>3]+ +h[n>>3];GD(a,f,2,(d|0)==0?j:0);d=j}break}case 3:case 2:{A=r+80|0;c[s>>2]=c[A>>2];c[s+4>>2]=c[A+4>>2];c[s+8>>2]=c[A+8>>2];c[s+12>>2]=c[A+12>>2];c[s+16>>2]=c[A+16>>2];c[s+20>>2]=c[A+20>>2];c[s+24>>2]=c[A+24>>2];c[s+28>>2]=c[A+28>>2];c[p>>2]=c[u>>2];c[p+4>>2]=c[u+4>>2];c[p+8>>2]=c[u+8>>2];c[p+12>>2]=c[u+12>>2];c[p+16>>2]=c[u+16>>2];c[p+20>>2]=c[u+20>>2];c[p+24>>2]=c[u+24>>2];c[p+28>>2]=c[u+28>>2];if(!(lv(s,p)|0))d=j;else{d=r+8|0;f=Av(f,t,c[d+4>>2]|0,c[d>>2]|0)|0;HD(a,f,c[d>>2]|0,(c[r>>2]|0)==2?j:0);d=j}break}case 5:case 4:{A=r+80|0;c[s>>2]=c[A>>2];c[s+4>>2]=c[A+4>>2];c[s+8>>2]=c[A+8>>2];c[s+12>>2]=c[A+12>>2];c[s+16>>2]=c[A+16>>2];c[s+20>>2]=c[A+20>>2];c[s+24>>2]=c[A+24>>2];c[s+28>>2]=c[A+28>>2];c[p>>2]=c[u>>2];c[p+4>>2]=c[u+4>>2];c[p+8>>2]=c[u+8>>2];c[p+12>>2]=c[u+12>>2];c[p+16>>2]=c[u+16>>2];c[p+20>>2]=c[u+20>>2];c[p+24>>2]=c[u+24>>2];c[p+28>>2]=c[u+28>>2];if(!(lv(s,p)|0))d=j;else{d=r+8|0;f=Av(f,t,c[d+4>>2]|0,c[d>>2]|0)|0;JD(a,f,c[d>>2]|0,0,0,(c[r>>2]|0)==4?j&255:0);d=j}break}case 6:{A=r+80|0;c[s>>2]=c[A>>2];c[s+4>>2]=c[A+4>>2];c[s+8>>2]=c[A+8>>2];c[s+12>>2]=c[A+12>>2];c[s+16>>2]=c[A+16>>2];c[s+20>>2]=c[A+20>>2];c[s+24>>2]=c[A+24>>2];c[s+28>>2]=c[A+28>>2];c[p>>2]=c[u>>2];c[p+4>>2]=c[u+4>>2];c[p+8>>2]=c[u+8>>2];c[p+12>>2]=c[u+12>>2];c[p+16>>2]=c[u+16>>2];c[p+20>>2]=c[u+20>>2];c[p+24>>2]=c[u+24>>2];c[p+28>>2]=c[u+28>>2];if(!(lv(s,p)|0))d=j;else{d=r+8|0;f=Av(f,t,c[d+4>>2]|0,c[d>>2]|0)|0;KD(a,f,c[d>>2]|0);d=j}break}case 7:{A=r+80|0;c[s>>2]=c[A>>2];c[s+4>>2]=c[A+4>>2];c[s+8>>2]=c[A+8>>2];c[s+12>>2]=c[A+12>>2];c[s+16>>2]=c[A+16>>2];c[s+20>>2]=c[A+20>>2];c[s+24>>2]=c[A+24>>2];c[s+28>>2]=c[A+28>>2];c[p>>2]=c[u>>2];c[p+4>>2]=c[u+4>>2];c[p+8>>2]=c[u+8>>2];c[p+12>>2]=c[u+12>>2];c[p+16>>2]=c[u+16>>2];c[p+20>>2]=c[u+20>>2];c[p+24>>2]=c[u+24>>2];c[p+28>>2]=c[u+28>>2];if(!(lv(s,p)|0))d=j;else{h[f>>3]=+h[r+8>>3];h[f+8>>3]=+h[r+16>>3];d=c[r+112>>2]|0;c[p>>2]=c[f>>2];c[p+4>>2]=c[f+4>>2];c[p+8>>2]=c[f+8>>2];c[p+12>>2]=c[f+12>>2];AD(a,p,d);d=j}break}case 8:{DD(a,c[r+8>>2]|0);d=1;break}case 9:{BD(a,c[r+8>>2]|0);d=1;break}case 13:{if((c[r+8>>2]|0)!=2){d=r+16|0;z=c[d+36>>2]|0;A=c[z+12>>2]|0;o=+g[z+8>>2];d=~~(+K(+(+h[r+40>>3]-+h[r+24>>3]),+(+h[r+32>>3]-+h[d>>3]))*57.29577951308232);DD(a,c[z+4>>2]|0);ED(a,A,d,o);d=2;break a}A=c[r+68>>2]|0;j=c[A+4>>2]|0;n=c[A+12>>2]|0;o=+g[A+8>>2];k=+h[r+40>>3];m=+h[r+16>>3];if(k==m?+h[r+48>>3]==+h[r+24>>3]:0)d=0;else d=~~(+H(+((m-k)/+h[r+32>>3]))*57.29577951308232);DD(a,j);ED(a,n,d,o);d=3;break}case 14:{_l(0,85512,v)|0;d=j;break}case 12:{if(!e){e=0;d=j}else{_l(0,85552,w)|0;e=0;d=j}break}case 11:{Du(c[r+8>>2]|0)|0;FD(a,168408);i=168408;d=j;break}default:d=j}while(0);j=d;q=q+1|0;r=r+120|0}if(i|0)FD(a,c[(c[a>>2]|0)+336>>2]|0);_I(f);l=x;return}function Av(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;g=c[b>>2]|0;f=g<<1;f=(f|0)>(e|0)?f:e;if((g|0)<(e|0)){a=yw(a,f<<4)|0;c[b>>2]=f}b=0;while(1){if((b|0)>=(e|0))break;h[a+(b<<4)>>3]=+h[d+(b*24|0)>>3];h[a+(b<<4)+8>>3]=+h[d+(b*24|0)+8>>3];b=b+1|0}return a|0}function Bv(a,b){a=a|0;b=b|0;var d=0;d=c[b>>2]|0;c[a>>2]=c[b+4>>2];c[a+4>>2]=d;return}function Cv(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;g=d+16|0;f=1;while(1){d=c[g>>2]|0;if((f|0)>(c[d+180>>2]|0))break;e=c[(c[d+184>>2]|0)+(f<<2)>>2]|0;Cv(b,e);d=Im(e,122540)|0;if(d|0?a[d>>0]|0:0)BD(b,d);d=Im(e,122531)|0;if(d|0?a[d>>0]|0:0)BD(b,d);d=Im(e,85423)|0;if(d|0?a[d>>0]|0:0)BD(b,d);d=Im(e,86469)|0;if(d|0?a[d>>0]|0:0)DD(b,d);d=Im(e,86503)|0;if(d|0?a[d>>0]|0:0)BD(b,d);f=f+1|0}return}function Dv(a){a=a|0;var b=0,d=0,e=0;b=c[42172]|0;if(!b){b=Ql(19684,c[4345]|0)|0;c[42172]=b}if(!(bb[c[b>>2]&31](b,a,4)|0)){d=c[42172]|0;e=c[d>>2]|0;b=GL(a)|0;bb[e&31](d,b,1)|0;b=1}else b=0;return b|0}function Ev(a,b,c){a=a|0;b=b|0;c=c|0;_I(b);return}function Fv(a){a=a|0;var b=0;b=c[42173]|0;if(!a){if((b|0)>0?(b=b+-1|0,c[42173]=b,(b|0)==0):0){bL(1,c[42174]|0)|0;_I(c[42174]|0)}}else{c[42173]=b+1;if(!b){c[42174]=GL(bL(1,0)|0)|0;bL(1,134865)|0}}return}function Gv(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0.0;u=l;l=l+96|0;r=u+72|0;q=u+56|0;p=u+48|0;t=u+32|0;s=u+24|0;e=u+8|0;d=u;if(0)xA();do if((No(b,122277,0,1)|0)!=0?(o=b+16|0,(c[(c[o>>2]|0)+8>>2]|0)!=0):0){Hv(b);Iv(a,b);Jv(a,b);Fv(1);j=a+56|0;k=a+184|0;m=a+192|0;n=a+28|0;i=Cr(a)|0;a:while(1){if(!i){g=33;break}d=c[j>>2]|0;if(!d){c[i+20>>2]=0;d=0}else{c[i+20>>2]=c[d+8>>2];d=c[d+12>>2]|0}c[i+24>>2]=d;c[i+12>>2]=a;c[i+28>>2]=c[k>>2];c[i+620>>2]=24748;c[i+624>>2]=14;if(!(c[(c[o>>2]|0)+8>>2]|0)){g=13;break}e=i+52|0;g=bD(i,c[e>>2]|0)|0;c[i+56>>2]=g;switch(g|0){case 999:{g=16;break a}case 21:{d=1;break}case 24:{d=520;break}default:d=Kv(b)|0}f=i+152|0;c[f>>2]=c[f>>2]|d;d=c[m>>2]|0;do if(!d)g=24;else{if(c[d+152>>2]&32|0?(xJ(c[e>>2]|0,c[d+52>>2]|0)|0)==0:0){d=c[42175]|0;if(!d){g=27;break}c[d+8>>2]=i;c[i+36>>2]=c[d+36>>2];g=29;break}dD(d);c[m>>2]=0;c[n>>2]=0;g=24}while(0);if((g|0)==24){c[42175]=0;g=27}if((g|0)==27?(g=0,(cD(i)|0)==0):0){c[m>>2]=i;g=29}if((g|0)==29){c[i+8>>2]=0;c[i+104>>2]=24860;Lv(i);Mv(i);Nv(i,b);Ov(i,b);Pv(i,b);if(!(c[f>>2]&128))gu(i,b);c[42175]=i}i=Dr(a)|0}if((g|0)==13){_l(1,85710,s)|0;Fv(0);if(!0){d=-1;break}d=c[13918]|0;s=Dn(b)|0;v=+yA();c[t>>2]=s;h[t+8>>3]=v;zL(d,85681,t)|0;d=-1;break}else if((g|0)==16){c[p>>2]=c[e>>2];_l(1,85731,p)|0;Fv(0);if(!0){d=-1;break}d=c[13918]|0;t=Dn(b)|0;v=+yA();c[q>>2]=t;h[q+8>>3]=v;zL(d,85681,q)|0;d=-1;break}else if((g|0)==33){Fv(0);if(!0){d=0;break}d=c[13918]|0;t=Dn(b)|0;v=+yA();c[r>>2]=t;h[r+8>>3]=v;zL(d,85681,r)|0;d=0;break}}else g=5;while(0);if((g|0)==5){_l(1,85633,d)|0;if(!0)d=-1;else{d=c[13918]|0;t=Dn(b)|0;v=+yA();c[e>>2]=t;h[e+8>>3]=v;zL(d,85681,e)|0;d=-1}}l=u;return d|0}function Hv(a){a=a|0;var b=0;b=co(a)|0;while(1){if(!b)break;Uv(a,b);b=eo(a,b)|0}return}function Iv(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0.0;o=l;l=l+32|0;k=o+24|0;f=o+16|0;j=o+8|0;n=o;c[b+168>>2]=d;g=b+293|0;a[g>>0]=0;e=Im(d,90530)|0;if(e|0?(c[f>>2]=j,c[f+4>>2]=n,i=cM(e,90537,f)|0,(i|0)>0):0){p=+h[j>>3]*72.0;e=b+208|0;h[e>>3]=p;h[b+200>>3]=p;if((i|0)!=1)h[e>>3]=+h[n>>3]*72.0;a[g>>0]=1}f=b+292|0;a[f>>0]=0;e=Im(d,86133)|0;if(e|0?(c[k>>2]=j,c[k+4>>2]=n,m=cM(e,90537,k)|0,(m|0)>0):0){p=+h[j>>3]*72.0;e=b+224|0;h[e>>3]=p;h[b+216>>3]=p;if((m|0)!=1)h[e>>3]=+h[n>>3]*72.0;a[f>>0]=1}e=b+294|0;a[e>>0]=0;f=b+232|0;g=d+16|0;n=(c[(c[g>>2]|0)+8>>2]|0)+48|0;c[f>>2]=c[n>>2];c[f+4>>2]=c[n+4>>2];c[f+8>>2]=c[n+8>>2];c[f+12>>2]=c[n+12>>2];f=c[(c[g>>2]|0)+8>>2]|0;if(+h[f+48>>3]>.001?+h[f+56>>3]>.001:0)a[e>>0]=1;c[b+288>>2]=a[f+81>>0]|0?90:0;e=b+196|0;c[e>>2]=86137;f=Im(d,86140)|0;if(f|0?a[f>>0]|0:0)c[e>>2]=f;n=b+256|0;m=(c[g>>2]|0)+16|0;c[n>>2]=c[m>>2];c[n+4>>2]=c[m+4>>2];c[n+8>>2]=c[m+8>>2];c[n+12>>2]=c[m+12>>2];c[n+16>>2]=c[m+16>>2];c[n+20>>2]=c[m+20>>2];c[n+24>>2]=c[m+24>>2];c[n+28>>2]=c[m+28>>2];c[42185]=ym(d,0,86535,0)|0;c[42186]=ym(d,0,86520,0)|0;c[b+320>>2]=GA(0,c[42195]|0,93027)|0;h[b+328>>3]=+EA(0,c[42194]|0,14.0,1.0);c[b+336>>2]=19720;c[b+188>>2]=Dn(d)|0;l=o;return}function Jv(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;e=b+304|0;f=c[e>>2]|0;if(f|0){_I(f);c[e>>2]=0}f=b+308|0;e=c[f>>2]|0;if(e|0){_I(e);c[f>>2]=0}g=b+316|0;e=c[g>>2]|0;if(e|0){_I(e);c[g>>2]=0}e=Im(d,85884)|0;if(e){c[b+312>>2]=Sv(b,d,e)|0;e=Im(d,85891)|0;if(e|0?a[e>>0]|0:0)c[g>>2]=Tv(b,e)|0}else{c[f>>2]=0;c[b+312>>2]=1}return}function Kv(b){b=b|0;b=Im(b,85852)|0;a:do if(!b)b=0;else switch(a[b>>0]|0){case 110:{if(!(xJ(b+1|0,85864)|0))b=1;else{b=0;break a}break}case 101:{if(!(xJ(b+1|0,85874)|0))b=16;else{b=0;break a}break}default:{b=0;break a}}while(0);return b|0}function Lv(b){b=b|0;var d=0.0,e=0;e=c[b>>2]|0;if(!(a[e+292>>0]|0)){if((c[b+56>>2]|0)==300)d=+h[(c[b+68>>2]|0)+8>>3];else d=4.0;h[b+248>>3]=d;h[b+240>>3]=d}else{b=b+240|0;e=e+216|0;c[b>>2]=c[e>>2];c[b+4>>2]=c[e+4>>2];c[b+8>>2]=c[e+8>>2];c[b+12>>2]=c[e+12>>2]}return}function Mv(b){b=b|0;var d=0;d=c[b>>2]|0;a:do if(!(a[d+293>>0]|0))switch(c[b+56>>2]|0){case 300:{d=b+416|0;b=(c[b+84>>2]|0)+8|0;c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];break a}case 30:case 21:case 22:case 4:case 3:case 2:{h[b+424>>3]=36.0;h[b+416>>3]=36.0;break a}default:{d=b+416|0;c[d>>2]=0;c[d+4>>2]=0;c[d+8>>2]=0;c[d+12>>2]=0;break a}}else{b=b+416|0;d=d+200|0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2]}while(0);return}function Nv(b,d){b=b|0;d=d|0;var e=0.0,f=0;f=c[(c[b>>2]|0)+192>>2]|0;e=+h[(c[(c[d+16>>2]|0)+8>>2]|0)+24>>3];do if(!(e!=0.0)){if(f|0?a[f+128>>0]|0:0){b=b+432|0;f=f+112|0;c[b>>2]=c[f>>2];c[b+4>>2]=c[f+4>>2];c[b+8>>2]=c[f+8>>2];c[b+12>>2]=c[f+12>>2];break}d=b+432|0;if((c[b+56>>2]|0)==300){b=(c[b+84>>2]|0)+40|0;c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];break}else{h[b+440>>3]=96.0;h[d>>3]=96.0;break}}else{h[b+440>>3]=e;h[b+432>>3]=e}while(0);return}function Ov(b,d){b=b|0;d=d|0;var e=0.0,f=0.0,g=0,i=0.0,j=0.0,k=0.0,m=0,n=0,o=0.0,p=0.0,q=0.0,r=0.0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0;A=l;l=l+112|0;t=A+80|0;u=A+56|0;s=A+40|0;v=A+32|0;w=A+24|0;x=A+16|0;y=A+8|0;z=A;m=c[b>>2]|0;o=+h[m+272>>3];q=+h[m+280>>3];p=+h[m+256>>3];r=+h[m+264>>3];f=+h[b+240>>3];e=p-f;h[b+208>>3]=e;i=+h[b+248>>3];j=r-i;h[b+216>>3]=j;f=f+o;h[b+224>>3]=f;i=i+q;h[b+232>>3]=i;e=f-e;j=i-j;h[x>>3]=1.0;g=c[(c[d+16>>2]|0)+8>>2]|0;i=+h[g+64>>3];do if(i>.001?(k=+h[g+72>>3],k>.001):0){e=e==0.0?i:e;f=j==0.0?k:j;if(!(i<e|k<f)?!(k>f&(i>e&(a[g+80>>0]|0)!=0)):0){k=e;j=f;i=1.0;break}n=i/e<k/f;i=(n?i:k)/(n?e:f);h[x>>3]=i;k=e;j=f}else{k=e;i=1.0}while(0);f=(p+o)*.5;h[y>>3]=f;e=(r+q)*.5;h[z>>3]=e;c[b+360>>2]=c[m+288>>2];k=i*k;h[v>>3]=k;j=i*j;h[w>>3]=j;g=Im(d,85783)|0;if(g){m=ZI((rJ(g)|0)+1|0)|0;n=ZI((rJ(g)|0)+1|0)|0;c[s>>2]=v;c[s+4>>2]=w;c[s+8>>2]=x;c[s+12>>2]=m;do if((cM(g,85792,s)|0)==4){g=no(c[d+60>>2]|0,m,0)|0;if(g|0){u=c[g+16>>2]|0;h[y>>3]=+h[u+16>>3];h[z>>3]=+h[u+24>>3]}}else{c[u>>2]=v;c[u+4>>2]=w;c[u+8>>2]=x;c[u+12>>2]=m;c[u+16>>2]=n;if((cM(g,85812,u)|0)!=4){c[t>>2]=v;c[t+4>>2]=w;c[t+8>>2]=x;c[t+12>>2]=y;c[t+16>>2]=z;cM(g,85832,t)|0;break}g=no(c[d+60>>2]|0,m,0)|0;if(g|0){u=c[g+16>>2]|0;h[y>>3]=+h[u+16>>3];h[z>>3]=+h[u+24>>3]}}while(0);_I(m);_I(n);k=+h[v>>3];j=+h[w>>3];i=+h[x>>3];f=+h[y>>3];e=+h[z>>3]}h[b+368>>3]=k;h[b+376>>3]=j;h[b+352>>3]=i;h[b+336>>3]=f;h[b+344>>3]=e;l=A;return}function Pv(b,d){b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0.0,j=0,k=0.0,m=0.0,n=0.0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0.0,P=0.0,Q=0.0;M=l;l=l+224|0;J=M+200|0;z=M+168|0;E=M+144|0;I=M+120|0;F=M+96|0;G=M+64|0;e=M+184|0;v=M+176|0;w=M+160|0;y=M+136|0;x=M+112|0;A=M+80|0;B=M+48|0;C=M+32|0;D=M+16|0;K=M+8|0;L=M;u=c[b>>2]|0;c[G>>2]=0;c[G+4>>2]=0;c[G+8>>2]=0;c[G+12>>2]=0;H=b+368|0;c[I>>2]=c[H>>2];c[I+4>>2]=c[H+4>>2];c[I+8>>2]=c[H+8>>2];c[I+12>>2]=c[H+12>>2];H=b+360|0;if(c[H>>2]|0){c[J>>2]=c[I>>2];c[J+4>>2]=c[I+4>>2];c[J+8>>2]=c[I+8>>2];c[J+12>>2]=c[I+12>>2];Qv(e,J);c[I>>2]=c[e>>2];c[I+4>>2]=c[e+4>>2];c[I+8>>2]=c[e+8>>2];c[I+12>>2]=c[e+12>>2]}t=b+416|0;c[F>>2]=c[t>>2];c[F+4>>2]=c[t+4>>2];c[F+8>>2]=c[t+8>>2];c[F+12>>2]=c[t+12>>2];if((a[u+294>>0]|0)!=0?(c[b+152>>2]&32|0)!=0:0){i=+h[u+232>>3]-+h[F>>3]*2.0;h[E>>3]=i;k=+h[u+240>>3]-+h[F+8>>3]*2.0;p=E+8|0;h[p>>3]=k;if(!(i<.0001)){o=+h[I>>3];e=~~(o/i);f=b+164|0;c[f>>2]=e;if(o-i*+(e|0)>.0001){e=e+1|0;c[f>>2]=e}}else{c[b+164>>2]=1;e=1}if(!(k<.0001)){g=+h[I+8>>3];f=~~(g/k);j=b+168|0;c[j>>2]=f;if(g-k*+(f|0)>.0001){f=f+1|0;c[j>>2]=f}}else{c[b+168>>2]=1;f=1;g=+h[I+8>>3]}c[b+204>>2]=O(f,e)|0;o=+h[(+h[I>>3]<i?I:E)>>3];h[I>>3]=o;e=p;f=I;m=+h[(g<k?I:E)+8>>3];g=o;j=21}else{if(c[b+68>>2]|0){e=c[b+84>>2]|0;i=+h[e+24>>3]-+h[F>>3]*2.0;i=i<0.0?0.0:i;h[E>>3]=i;o=+h[e+32>>3]-+h[F+8>>3]*2.0;e=E+8|0;h[e>>3]=o;if(o<0.0){f=E;j=17}else e=E}else{h[E+8>>3]=0.0;f=E;e=E;j=17}if((j|0)==17){h[e>>3]=0.0;e=f;i=+h[f>>3]}c[b+204>>2]=1;c[b+168>>2]=1;c[b+164>>2]=1;g=+h[I>>3];if(i<g){h[e>>3]=g;i=g}e=E+8|0;k=+h[e>>3];m=+h[I+8>>3];if(k<m){f=E;j=21}else{r=e;m=k}}if((j|0)==21){h[f+8>>3]=m;r=e;m=+h[e>>3]}n=+h[F>>3];s=b+432|0;k=+h[s>>3]*.013888888888888888*(n*2.0+i);c[b+448>>2]=~~(k+(k>=0.0?.5:-.5));q=F+8|0;k=+h[q>>3];t=b+440|0;o=+h[t>>3]*.013888888888888888*(k*2.0+m);c[b+452>>2]=~~(o+(o>=0.0?.5:-.5));j=b+188|0;p=b+180|0;e=b+172|0;f=u+196|0;c[e>>2]=0;c[e+4>>2]=0;c[e+8>>2]=0;c[e+12>>2]=0;c[e+16>>2]=0;c[e+20>>2]=0;Rv(v,b,a[c[f>>2]>>0]|0);u=v;v=c[u+4>>2]|0;e=p;c[e>>2]=c[u>>2];c[e+4>>2]=v;Rv(w,b,a[(c[f>>2]|0)+1>>0]|0);e=w;w=c[e>>2]|0;e=c[e+4>>2]|0;v=j;c[v>>2]=w;c[v+4>>2]=e;w=(c[p>>2]|0)+w|0;if(!((((w|0)>-1?w:0-w|0)|0)==1?(w=(c[b+184>>2]|0)+e|0,(((w|0)>-1?w:0-w|0)|0)==1):0)){Rv(y,b,66);v=y;y=c[v+4>>2]|0;w=p;c[w>>2]=c[v>>2];c[w+4>>2]=y;Rv(x,b,76);w=x;x=c[w+4>>2]|0;y=j;c[y>>2]=c[w>>2];c[y+4>>2]=x;c[z>>2]=c[f>>2];_l(0,85763,z)|0}if(a[(c[(c[d+16>>2]|0)+8>>2]|0)+82>>0]|0){if(i>g){m=(i-g)*.5;h[G>>3]=m}else m=0.0;i=+h[r>>3];o=+h[I+8>>3];if(i>o){i=(i-o)*.5;h[G+8>>3]=i}else i=0.0}else{i=0.0;m=0.0}if(!(c[H>>2]|0))j=1;else{c[J>>2]=c[I>>2];c[J+4>>2]=c[I+4>>2];c[J+8>>2]=c[I+8>>2];c[J+12>>2]=c[I+12>>2];Qv(A,J);c[I>>2]=c[A>>2];c[I+4>>2]=c[A+4>>2];c[I+8>>2]=c[A+8>>2];c[I+12>>2]=c[A+12>>2];c[J>>2]=c[E>>2];c[J+4>>2]=c[E+4>>2];c[J+8>>2]=c[E+8>>2];c[J+12>>2]=c[E+12>>2];Qv(B,J);c[E>>2]=c[B>>2];c[E+4>>2]=c[B+4>>2];c[E+8>>2]=c[B+8>>2];c[E+12>>2]=c[B+12>>2];c[J>>2]=c[F>>2];c[J+4>>2]=c[F+4>>2];c[J+8>>2]=c[F+8>>2];c[J+12>>2]=c[F+12>>2];Qv(C,J);c[F>>2]=c[C>>2];c[F+4>>2]=c[C+4>>2];c[F+8>>2]=c[C+8>>2];c[F+12>>2]=c[C+12>>2];c[J>>2]=c[G>>2];c[J+4>>2]=c[G+4>>2];c[J+8>>2]=c[G+8>>2];c[J+12>>2]=c[G+12>>2];Qv(D,J);c[G>>2]=c[D>>2];c[G+4>>2]=c[D+4>>2];c[G+8>>2]=c[D+8>>2];c[G+12>>2]=c[D+12>>2];n=+h[F>>3];m=+h[G>>3];k=+h[q>>3];i=+h[G+8>>3];g=+h[I>>3];j=(c[H>>2]|0)==0}o=m+n;h[b+384>>3]=o;P=i+k;h[b+392>>3]=P;N=m+n+g;h[b+400>>3]=N;Q=+h[I+8>>3];n=i+k+Q;h[b+408>>3]=n;m=+h[b+352>>3];h[b+320>>3]=g/m;h[b+328>>3]=Q/m;m=+h[s>>3];o=o*.013888888888888888*m;f=b+456|0;c[f>>2]=~~(o+(o>=0.0?.5:-.5));o=+h[t>>3];k=P*.013888888888888888*o;c[b+460>>2]=~~(k+(k>=0.0?.5:-.5));m=N*.013888888888888888*m;e=b+464|0;c[e>>2]=~~(m+(m>=0.0?.5:-.5));o=n*.013888888888888888*o;c[b+468>>2]=~~(o+(o>=0.0?.5:-.5));if(!j){c[J>>2]=c[f>>2];c[J+4>>2]=c[f+4>>2];Bv(K,J);I=K;K=c[I+4>>2]|0;b=f;c[b>>2]=c[I>>2];c[b+4>>2]=K;c[J>>2]=c[e>>2];c[J+4>>2]=c[e+4>>2];Bv(L,J);b=L;K=c[b+4>>2]|0;L=e;c[L>>2]=c[b>>2];c[L+4>>2]=K}l=M;return}function Qv(a,b){a=a|0;b=b|0;var c=0.0;c=+h[b>>3];h[a>>3]=+h[b+8>>3];h[a+8>>3]=c;return}function Rv(a,b,d){a=a|0;b=b|0;d=d|0;d=(d<<24>>24)+-66|0;switch(d>>>1|d<<31|0){case 9:{c[b+176>>2]=(c[b+168>>2]|0)+-1;b=0;d=-1;break}case 0:{b=0;d=1;break}case 5:{b=1;d=0;break}case 8:{c[b+172>>2]=(c[b+164>>2]|0)+-1;b=-1;d=0;break}default:{b=0;d=0}}c[a>>2]=b;c[a+4>>2]=d;return}function Sv(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;j=l;l=l+16|0;g=j;f=Im(d,86004)|0;i=b+296|0;c[i>>2]=(f|0)==0?86013:f;d=Im(d,86017)|0;f=b+300|0;d=(d|0)==0?86030:d;c[f>>2]=d;d=JL(c[i>>2]|0,d)|0;if(d|0){c[g>>2]=a[d>>0];_l(0,86032,g)|0;c[f>>2]=174181}d=GL(e)|0;c[b+304>>2]=d;h=b+308|0;f=0;b=0;while(1){e=DL(d,c[i>>2]|0)|0;if(!e)break;g=b+1|0;if((b|0)<(f|0))d=c[h>>2]|0;else{f=f+128|0;d=c[h>>2]|0;if(!d)d=ww(f<<2)|0;else d=yw(d,f<<2)|0;c[h>>2]=d}c[d+(g<<2)>>2]=e;b=g;d=0}if(b|0){i=yw(c[h>>2]|0,(b<<2)+8|0)|0;c[h>>2]=i;c[i>>2]=0;c[(c[h>>2]|0)+(b+1<<2)>>2]=0}l=j;return b|0}function Tv(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+16|0;j=k;i=a+312|0;d=ww((c[i>>2]<<2)+8|0)|0;e=0;h=1;while(1){g=c[i>>2]|0;if((h|0)>(g|0))break;f=e+1|0;if((iv(a,h,g,b)|0)<<24>>24){c[d+(f<<2)>>2]=h;e=f}h=h+1|0}if(!e){c[j>>2]=b;_l(0,85903,j)|0;_I(d);d=0}else{c[d>>2]=e;c[d+(e+1<<2)>>2]=(c[i>>2]|0)+1}l=k;return d|0}function Uv(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0.0,g=0.0;d=c[b+16>>2]|0;g=+h[d+16>>3];h[d+48>>3]=g-+h[d+88>>3];e=+h[d+24>>3];f=+h[d+80>>3]*.5;h[d+56>>3]=e-f;h[d+64>>3]=+h[d+96>>3]+g;h[d+72>>3]=f+e;b=Pm(a,b)|0;while(1){if(!b)break;Vv(b);b=Rm(a,b)|0}return}function Vv(a){a=a|0;a=c[(c[a+16>>2]|0)+8>>2]|0;if(a|0)Wv(a);return}function Wv(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0;C=l;l=l+240|0;v=C+192|0;u=C+176|0;w=C+64|0;x=C+32|0;y=C;z=C+144|0;A=C+112|0;B=a+4|0;if((c[B>>2]|0)<=0)ma(86171,84925,3994,86185);b=c[a>>2]|0;d=w;e=b;f=d+48|0;do{c[d>>2]=c[e>>2];d=d+4|0;e=e+4|0}while((d|0)<(f|0));d=v;e=b;f=d+48|0;do{c[d>>2]=c[e>>2];d=d+4|0;e=e+4|0}while((d|0)<(f|0));Xv(x,v);i=x+8|0;j=y+8|0;k=x+16|0;m=y+16|0;n=x+24|0;o=y+24|0;p=w+8|0;q=w+12|0;r=w+32|0;s=w+4|0;t=w+16|0;g=0;while(1){if((g|0)>=(c[B>>2]|0))break;if((g|0)>0){b=(c[a>>2]|0)+(g*48|0)|0;d=w;e=b;f=d+48|0;do{c[d>>2]=c[e>>2];d=d+4|0;e=e+4|0}while((d|0)<(f|0));d=v;e=b;f=d+48|0;do{c[d>>2]=c[e>>2];d=d+4|0;e=e+4|0}while((d|0)<(f|0));Xv(y,v);h[x>>3]=+h[(+h[x>>3]<+h[y>>3]?x:y)>>3];h[i>>3]=+h[(+h[i>>3]<+h[j>>3]?x:y)+8>>3];h[k>>3]=+h[(+h[k>>3]>+h[m>>3]?x:y)+16>>3];h[n>>3]=+h[(+h[n>>3]>+h[o>>3]?x:y)+24>>3]}b=c[p>>2]|0;if(b|0){f=c[w>>2]|0;c[u>>2]=c[t>>2];c[u+4>>2]=c[t+4>>2];c[u+8>>2]=c[t+8>>2];c[u+12>>2]=c[t+12>>2];c[v>>2]=c[f>>2];c[v+4>>2]=c[f+4>>2];c[v+8>>2]=c[f+8>>2];c[v+12>>2]=c[f+12>>2];Rt(z,u,v,1.0,b);c[y>>2]=c[z>>2];c[y+4>>2]=c[z+4>>2];c[y+8>>2]=c[z+8>>2];c[y+12>>2]=c[z+12>>2];c[y+16>>2]=c[z+16>>2];c[y+20>>2]=c[z+20>>2];c[y+24>>2]=c[z+24>>2];c[y+28>>2]=c[z+28>>2];h[x>>3]=+h[(+h[x>>3]<+h[y>>3]?x:y)>>3];h[i>>3]=+h[(+h[i>>3]<+h[j>>3]?x:y)+8>>3];h[k>>3]=+h[(+h[k>>3]>+h[m>>3]?x:y)+16>>3];h[n>>3]=+h[(+h[n>>3]>+h[o>>3]?x:y)+24>>3]}b=c[q>>2]|0;if(b|0){f=(c[w>>2]|0)+((c[s>>2]|0)+-1<<4)|0;c[u>>2]=c[r>>2];c[u+4>>2]=c[r+4>>2];c[u+8>>2]=c[r+8>>2];c[u+12>>2]=c[r+12>>2];c[v>>2]=c[f>>2];c[v+4>>2]=c[f+4>>2];c[v+8>>2]=c[f+8>>2];c[v+12>>2]=c[f+12>>2];Rt(A,u,v,1.0,b);c[y>>2]=c[A>>2];c[y+4>>2]=c[A+4>>2];c[y+8>>2]=c[A+8>>2];c[y+12>>2]=c[A+12>>2];c[y+16>>2]=c[A+16>>2];c[y+20>>2]=c[A+20>>2];c[y+24>>2]=c[A+24>>2];c[y+28>>2]=c[A+28>>2];h[x>>3]=+h[(+h[x>>3]<+h[y>>3]?x:y)>>3];h[i>>3]=+h[(+h[i>>3]<+h[j>>3]?x:y)+8>>3];h[k>>3]=+h[(+h[k>>3]>+h[m>>3]?x:y)+16>>3];h[n>>3]=+h[(+h[n>>3]>+h[o>>3]?x:y)+24>>3]}g=g+1|0}B=a+8|0;c[B>>2]=c[x>>2];c[B+4>>2]=c[x+4>>2];c[B+8>>2]=c[x+8>>2];c[B+12>>2]=c[x+12>>2];c[B+16>>2]=c[x+16>>2];c[B+20>>2]=c[x+20>>2];c[B+24>>2]=c[x+24>>2];c[B+28>>2]=c[x+28>>2];l=C;return}function Xv(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0.0,p=0.0,q=0.0,r=0.0,s=0.0,t=0;n=l;l=l+48|0;i=n+32|0;j=n;k=c[b+4>>2]|0;if((k|0)<=0)ma(86201,84925,3968,86213);if(((k>>>0)%3|0|0)!=1)ma(86223,84925,3969,86213);m=j+16|0;d=c[b>>2]|0;c[m>>2]=c[d>>2];c[m+4>>2]=c[d+4>>2];c[m+8>>2]=c[d+8>>2];c[m+12>>2]=c[d+12>>2];c[j>>2]=c[d>>2];c[j+4>>2]=c[d+4>>2];c[j+8>>2]=c[d+8>>2];c[j+12>>2]=c[d+12>>2];e=i+8|0;f=j+8|0;g=j+24|0;b=1;while(1){if((b|0)>=(k|0))break;p=+h[d+(b<<4)+8>>3];t=b+1|0;o=+h[d+(t<<4)+8>>3];r=(+h[d+(t<<4)>>3]+ +h[d+(b<<4)>>3])*.5;h[i>>3]=r;p=(o+p)*.5;h[e>>3]=p;o=+h[(+h[j>>3]<r?j:i)>>3];h[j>>3]=o;s=+h[(+h[f>>3]<p?j:i)+8>>3];h[f>>3]=s;r=+h[(+h[m>>3]>r?m:i)>>3];h[m>>3]=r;p=+h[(+h[g>>3]>p?m:i)+8>>3];h[g>>3]=p;t=d+(b+2<<4)|0;c[i>>2]=c[t>>2];c[i+4>>2]=c[t+4>>2];c[i+8>>2]=c[t+8>>2];c[i+12>>2]=c[t+12>>2];q=+h[i>>3];h[j>>3]=+h[(o<q?j:i)>>3];o=+h[e>>3];h[f>>3]=+h[(s<o?j:i)+8>>3];h[m>>3]=+h[(r>q?m:i)>>3];h[g>>3]=+h[(p>o?m:i)+8>>3];b=b+3|0}c[a>>2]=c[j>>2];c[a+4>>2]=c[j+4>>2];c[a+8>>2]=c[j+8>>2];c[a+12>>2]=c[j+12>>2];c[a+16>>2]=c[j+16>>2];c[a+20>>2]=c[j+20>>2];c[a+24>>2]=c[j+24>>2];c[a+28>>2]=c[j+28>>2];l=n;return}function Yv(a,b,c){a=a|0;b=b|0;c=c|0;var d=0,e=0.0,f=0.0,g=0.0,i=0,j=0.0,k=0,l=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0,r=0.0;q=+h[a>>3];r=+h[c>>3];k=!(q>=r);if((!k?q<=+h[c+16>>3]:0)?(e=+h[a+8>>3],e>=+h[c+8>>3]):0)i=e<=+h[c+24>>3];else i=0;e=+h[b>>3];if((e>=r?e<=+h[c+16>>3]:0)?(f=+h[b+8>>3],f>=+h[c+8>>3]):0){d=f<=+h[c+24>>3];if(!(i^d))if(i&d)d=1;else l=11;else d=0}else if(i)d=0;else l=11;a:do if((l|0)==11){p=+h[a+8>>3];do if(q==e){r=+h[c+8>>3];if(!(k|p>=r^+h[b+8>>3]>=r^1)?q<=+h[c+16>>3]:0){d=0;break a}}else{j=+h[b+8>>3];if(p==j){if(!(q>=r^e>=r))break;if(!(p>=+h[c+8>>3]))break;if(!(p<=+h[c+24>>3]))break;else{d=0;break a}}o=(j-p)/(e-q);l=q<e;g=l?q:e;e=l?e:q;f=(r-q)*o+p;m=+h[c+8>>3];if(!(!(r>=g)|!(r<=e)|!(f>=m))?f<=+h[c+24>>3]:0){d=0;break a}n=+h[c+16>>3];f=(n-r)*o+f;if(f>=m?!(!(n<=e)|(n>=g?!(f<=+h[c+24>>3]):1)):0){d=0;break a}l=p<j;g=l?p:j;f=l?j:p;e=(m-p)/o+q;if(e>=r?!(!(m<=f)|(!(m>=g)|!(e<=n))):0){d=0;break a}p=+h[c+24>>3];q=(p-m)/o+e;if(q>=r?!(!(p<=f)|(!(p>=g)|!(q<=n))):0){d=0;break a}}while(0);d=-1}while(0);return d|0}function Zv(a){a=a|0;var b=0,c=0.0;b=a+16|0;c=+h[b>>3];h[a+32>>3]=c;h[a+48>>3]=c;h[a+40>>3]=+h[a+24>>3];h[a+56>>3]=+h[a+8>>3];h[b>>3]=+h[a>>3];return}function _v(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0.0,g=0.0,i=0.0;if((c[42176]|0)!=(d|0)){SJ(+(d|0)*.15915494309189535,167112,167120);c[42176]=d}g=+h[b>>3];e=+h[20890];f=+h[b+8>>3];i=+h[20889];h[a>>3]=e*g-i*f;h[a+8>>3]=i*g+f*e;return}function $v(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0,g=0.0,i=0,j=0,k=0;k=l;l=l+16|0;f=k;e=+h[b>>3];i=b+8|0;g=+h[i>>3];a:do switch(d|0){case 0:{j=11;break}case 90:{h[b>>3]=g;e=-e;j=10;break}case 180:{e=-g;j=10;break}case 270:{h[b>>3]=g;j=10;break}default:{if((d|0)<0){c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];aw(a,f,0-d|0);break a}if((d|0)>360){c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];$v(a,f,(d>>>0)%360|0);break a}else{c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];_v(a,f,d);break a}}}while(0);if((j|0)==10){h[i>>3]=e;j=11}if((j|0)==11){c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2]}l=k;return}function aw(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0,g=0.0,i=0,j=0,k=0;k=l;l=l+16|0;f=k;e=+h[b>>3];i=b+8|0;g=+h[i>>3];a:do switch(d|0){case 0:{j=11;break}case 90:{h[b>>3]=-g;j=10;break}case 180:{e=-g;j=10;break}case 270:{h[b>>3]=g;j=10;break}default:{if((d|0)<0){c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];$v(a,f,0-d|0);break a}if((d|0)>360){c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];aw(a,f,(d>>>0)%360|0);break a}else{c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];_v(a,f,360-d|0);break a}}}while(0);if((j|0)==10){h[i>>3]=e;j=11}if((j|0)==11){c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2]}l=k;return}function bw(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0,f=0.0,g=0.0;g=+h[c>>3];d=+h[c+8>>3];f=d+ +h[b>>3];e=g+ +h[b+24>>3];d=d+ +h[b+16>>3];h[a>>3]=g+ +h[b+8>>3];h[a+8>>3]=f;h[a+16>>3]=e;h[a+24>>3]=d;return}function cw(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0,f=0.0,g=0.0;f=+h[a>>3];d=+h[b>>3]-f;g=+h[a+8>>3];e=+h[b+8>>3]-g;f=(+h[c+8>>3]-g)*d-(+h[c>>3]-f)*e;f=f*f;return +(f<1.0e-10?0.0:f/(e*e+d*d))}function dw(b,d){b=b|0;d=d|0;var e=0,f=0.0,g=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+16|0;g=n+8|0;i=n;e=vw(96)|0;m=b+16|0;c[(c[m>>2]|0)+8>>2]=e;e=Im(b,86250)|0;if(!e){e=Na(86259)|0;if(e|0)k=3}else k=3;if((k|0)==3)Va(86271,e|0,1)|0;e=(ew(b)|0)&255;a[(c[m>>2]|0)+115>>0]=e;if(0==0?(e=Im(b,86282)|0,c[42178]=e,(e|0)==0):0)c[42178]=c[42177];f=+EA(b,ym(b,0,86292,0)|0,0.0,0.0);h[c[(c[m>>2]|0)+8>>2]>>3]=f;e=Im(b,86300)|0;a:do if(!e)e=0;else{switch(a[e>>0]|0){case 76:{if(!(xJ(e,86308)|0)){e=1;break a}break}case 66:{if(!(xJ(e,86311)|0)){e=2;break a}break}case 82:{e=(xJ(e,86314)|0)==0;e=e?3:0;break a}default:{e=0;break a}}e=0}while(0);c[(c[m>>2]|0)+116>>2]=e<<2|(d<<24>>24==0?0:e);f=+EA(b,ym(b,0,86317,0)|0,.25,.02);h[i>>3]=f;f=f*72.0;c[(c[m>>2]|0)+248>>2]=~~(f+(f>=0.0?.5:-.5));e=FA(b,ym(b,0,86325,0)|0,0)|0;if(e){c[g>>2]=i;if(cM(e,86246,g)|0){f=+h[i>>3];if(f<.02){h[i>>3]=.02;f=.02}}else{h[i>>3]=.5;f=.5}if(hL(e,86333)|0)a[(c[m>>2]|0)+276>>0]=1}else{h[i>>3]=.5;f=.5}f=f*72.0;c[(c[m>>2]|0)+252>>2]=~~(f+(f>=0.0?.5:-.5));i=(DA(b,ym(b,0,86341,0)|0,0,0)|0)&255;a[(c[m>>2]|0)+243>>0]=i;i=UA(FA(b,ym(b,0,86351,0)|0,0)|0,19732,19748)|0;c[(c[m>>2]|0)+244>>2]=i;fw(b);i=gw(b,86361,(c[(c[m>>2]|0)+8>>2]|0)+64|0)|0;e=c[(c[m>>2]|0)+8>>2]|0;a[e+80>>0]=i;gw(b,86366,e+48|0)|0;e=IA(Im(b,86371)|0)|0;a[(c[(c[m>>2]|0)+8>>2]|0)+82>>0]=e;e=Im(b,86378)|0;do if(!e){e=Im(b,86385)|0;if(e|0){e=(a[e>>0]|32)<<24>>24==108&1;k=27;break}e=Im(b,86397)|0;if(e|0){e=IA(e)|0;k=27}}else{e=(rM(e)|0)==90&1;k=27}while(0);if((k|0)==27)a[(c[(c[m>>2]|0)+8>>2]|0)+81>>0]=e;c[42179]=UA(Im(b,86407)|0,19764,19780)|0;a[174076]=IA(Im(b,86419)|0)|0;c[42181]=0;c[42182]=0;h[(c[(c[m>>2]|0)+8>>2]|0)+24>>3]=0.0;e=Im(b,86431)|0;if((e|0)!=0?(a[e>>0]|0)!=0:0)k=32;else k=30;if(((k|0)==30?(j=Im(b,86435)|0,j|0):0)?a[j>>0]|0:0){e=j;k=32}if((k|0)==32){f=+sM(e);h[(c[(c[m>>2]|0)+8>>2]|0)+24>>3]=f}hw(b);c[42184]=ym(b,0,86446,0)|0;c[42187]=ym(b,0,86455,0)|0;c[42188]=ym(b,0,90530,0)|0;c[42189]=ym(b,1,96049,0)|0;c[42190]=ym(b,1,96043,0)|0;c[42191]=ym(b,1,90671,0)|0;c[42192]=ym(b,1,122540,0)|0;c[42193]=ym(b,1,86469,0)|0;c[42201]=ym(b,1,86479,0)|0;c[42194]=ym(b,1,86485,0)|0;c[42195]=ym(b,1,86494,0)|0;c[42196]=ym(b,1,86503,0)|0;k=ym(b,1,86240,0)|0;c[42198]=k;if(!k)c[42198]=ym(b,1,86240,90527)|0;c[42199]=ym(b,1,86513,0)|0;c[42202]=ym(b,1,86341,0)|0;c[42216]=ym(b,1,86520,0)|0;c[42205]=ym(b,1,86446,0)|0;c[42197]=ym(b,1,90530,0)|0;c[42203]=ym(b,1,86529,0)|0;c[42204]=ym(b,1,86535,0)|0;c[42207]=ym(b,1,86547,0)|0;c[42206]=ym(b,1,86385,0)|0;c[42208]=ym(b,1,86552,0)|0;c[42209]=ym(b,1,86563,0)|0;c[42210]=ym(b,1,122089,0)|0;c[42200]=ym(b,1,86573,0)|0;c[42211]=ym(b,1,86583,0)|0;c[42212]=ym(b,1,86589,0)|0;c[42213]=ym(b,1,86595,0)|0;c[42214]=ym(b,1,86603,0)|0;c[42215]=ym(b,1,86612,0)|0;c[42217]=ym(b,1,86455,0)|0;c[42218]=ym(b,2,86614,0)|0;c[42220]=ym(b,2,122540,0)|0;c[42221]=ym(b,2,86469,0)|0;c[42223]=ym(b,2,86485,0)|0;c[42224]=ym(b,2,86494,0)|0;c[42225]=ym(b,2,86503,0)|0;c[42226]=ym(b,2,86240,0)|0;c[42227]=ym(b,2,86513,0)|0;c[42236]=ym(b,2,86621,0)|0;c[42228]=ym(b,2,86632,0)|0;c[42239]=ym(b,2,86636,0)|0;c[42240]=ym(b,2,86646,0)|0;c[42241]=ym(b,2,86656,0)|0;c[42242]=ym(b,2,86666,0)|0;c[42243]=ym(b,2,86676,0)|0;c[42244]=ym(b,2,86690,0)|0;c[42245]=ym(b,2,86704,0)|0;c[42246]=ym(b,2,86719,0)|0;c[42247]=ym(b,2,86733,0)|0;c[42219]=ym(b,2,86744,0)|0;c[42231]=ym(b,2,86341,0)|0;c[42229]=ym(b,2,86479,0)|0;c[42230]=ym(b,2,86751,0)|0;c[42232]=ym(b,2,86760,0)|0;c[42233]=ym(b,2,86770,0)|0;c[42234]=ym(b,2,86583,0)|0;c[42235]=ym(b,2,86595,0)|0;c[42248]=ym(b,2,86781,0)|0;c[42249]=ym(b,2,86790,0)|0;c[42250]=ym(b,2,86520,0)|0;e=Ut(b)|0;c[(c[(c[m>>2]|0)+8>>2]|0)+88>>2]=e;e=Im(b,86799)|0;if(e|0?a[e>>0]|0:0){b=qw(e,b)|0;c[(c[(c[m>>2]|0)+8>>2]|0)+92>>2]=b}l=n;return}function ew(a){a=a|0;var b=0,d=0;d=l;l=l+16|0;b=d;a=GA(a,ym(a,0,86883,0)|0,86891)|0;if(((((((iK(a,86897)|0)!=0?(iK(a,86905)|0)!=0:0)?(iK(a,86912)|0)!=0:0)?(iK(a,86915)|0)!=0:0)?(iK(a,86926)|0)!=0:0)?(iK(a,86937)|0)!=0:0)?(iK(a,86947)|0)!=0:0)if((iK(a,86958)|0)!=0?(iK(a,86964)|0)!=0:0)if((iK(a,86891)|0)!=0?(iK(a,86969)|0)!=0:0){c[b>>2]=a;_l(0,86974,b)|0;a=0}else a=0;else a=2;else a=1;l=d;return a|0}function fw(b){b=b|0;var d=0.0,e=0,f=0;e=Im(b,86841)|0;a:do if(e|0?(f=a[e>>0]|0,f<<24>>24):0)switch(f<<24>>24|0){case 97:{if(f<<24>>24!=97)break a;if(xJ(e,86847)|0)break a;c[(c[(c[b+16>>2]|0)+8>>2]|0)+84>>2]=4;break a}case 99:{if(f<<24>>24!=99)break a;if(xJ(e,86852)|0)break a;c[(c[(c[b+16>>2]|0)+8>>2]|0)+84>>2]=3;break a}case 101:{if(f<<24>>24!=101)break a;if(xJ(e,86861)|0)break a;c[(c[(c[b+16>>2]|0)+8>>2]|0)+84>>2]=5;break a}case 102:{if(f<<24>>24!=102)break a;if(xJ(e,86868)|0)break a;c[(c[(c[b+16>>2]|0)+8>>2]|0)+84>>2]=2;break a}default:{d=+sM(e);if(!(d>0.0))break a;b=c[(c[b+16>>2]|0)+8>>2]|0;c[b+84>>2]=1;h[b+16>>3]=d;break a}}while(0);return}function gw(b,d,e){b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+48|0;m=o+32|0;i=o+16|0;k=o+8|0;j=o;n=o+40|0;a[n>>0]=0;b=Im(b,d)|0;do if(b){c[i>>2]=k;c[i+4>>2]=j;c[i+8>>2]=n;i=(cM(b,86825,i)|0)>1;g=+h[k>>3];f=+h[j>>3];if(i&g>0.0&f>0.0){g=g*72.0;h[e>>3]=+(~~(g+(g>=0.0?.5:-.5))|0);g=f*72.0;h[e+8>>3]=+(~~(g+(g>=0.0?.5:-.5))|0);b=(a[n>>0]|0)==33;break}a[n>>0]=0;c[m>>2]=k;c[m+4>>2]=n;m=(cM(b,86835,m)|0)>0;f=+h[k>>3];if(m&f>0.0){g=f*72.0;g=+(~~(g+(g>=0.0?.5:-.5))|0);h[e>>3]=g;h[e+8>>3]=g;b=(a[n>>0]|0)==33}else b=0}else b=0;while(0);l=o;return b&1|0}function hw(b){b=b|0;var d=0,e=0,f=0.0,g=0.0,i=0;d=Im(b,86240)|0;do if(d|0?a[d>>0]|0:0){e=(c[(c[b+60>>2]|0)+16>>2]|0)+113|0;a[e>>0]=a[e>>0]|8;e=(cp(d)|0)!=0;g=+EA(b,ym(b,0,86485,0)|0,14.0,1.0);i=GA(b,ym(b,0,86494,0)|0,93027)|0;d=lw(b,d,e?2:0,g,i,GA(b,ym(b,0,86503,0)|0,122106)|0)|0;i=b+16|0;c[(c[i>>2]|0)+12>>2]=d;d=Im(b,90662)|0;e=(d|0)!=0;do if((so(b)|0)==(b|0)){if(e?(a[d>>0]|0)==116:0){d=1;break}d=0}else{if(e?(a[d>>0]|0)==98:0){d=0;break}d=1}while(0);e=Im(b,86802)|0;a:do if(e)switch(a[e>>0]|0){case 108:{d=d|2;break a}case 114:{d=d|4;break a}default:break a}while(0);a[(c[i>>2]|0)+275>>0]=d;if((so(b)|0)!=(b|0)){d=c[(c[i>>2]|0)+12>>2]|0;f=+h[d+24>>3]+16.0;g=+h[d+32>>3]+8.0;b=(c[(c[(so(b)|0)+16>>2]|0)+116>>2]&1|0)==0;d=c[i>>2]|0;e=a[d+275>>0]<<1&2;if(b){b=e&255;h[d+48+(b<<4)>>3]=f;h[d+48+(b<<4)+8>>3]=g;break}else{b=(e^3)&255;h[d+48+(b<<4)>>3]=g;h[d+48+(b<<4)+8>>3]=f;break}}}while(0);return}function iw(a){a=a|0;var b=0,d=0,e=0;e=a+16|0;d=c[e>>2]|0;b=c[d+8>>2]|0;do if(!b)b=d;else{d=c[b+88>>2]|0;if(d){xt(d);d=c[e>>2]|0;b=c[d+8>>2]|0;if(!b){b=d;break}}_I(c[b+92>>2]|0);b=c[e>>2]|0}while(0);_I(c[b+8>>2]|0);e=c[e>>2]|0;c[e+8>>2]=0;ow(c[e+12>>2]|0);To(a,0,122277);return}function jw(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0;f=c[d>>2]|0;l=d+24|0;c[l>>2]=0;c[l+4>>2]=0;c[l+8>>2]=0;c[l+12>>2]=0;if(a[f>>0]|0){i=ww((rJ(f)|0)+1|0)|0;a[i>>0]=0;j=d+12|0;e=i;a:while(1){b:while(1){h=f+1|0;g=a[f>>0]|0;if(!(g<<24>>24))break a;if(!(g<<24>>24==-1|((g&255)<161|(c[j>>2]|0)!=2))){a[e>>0]=g;h=a[h>>0]|0;g=e+2|0;a[e+1>>0]=h;if(!(h<<24>>24)){e=g;break a}else{e=g;f=f+2|0;continue}}switch(g<<24>>24){case 92:break b;case 10:{k=12;break b}default:{}}a[e>>0]=g;e=e+1|0;f=h}if((k|0)==12){k=0;f=e+1|0;a[e>>0]=0;kw(b,d,i,110);e=f;i=f;f=h;continue}g=a[h>>0]|0;switch(g<<24>>24|0){case 114:case 108:case 110:{g=e+1|0;a[e>>0]=0;kw(b,d,i,a[h>>0]|0);e=g;break}default:{a[e>>0]=g;e=e+1|0;g=i}}i=g;f=(a[h>>0]|0)==0?h:f+2|0}if((i|0)!=(e|0)){a[e>>0]=0;kw(b,d,i,110)}d=d+40|0;c[d>>2]=c[l>>2];c[d+4>>2]=c[l+4>>2];c[d+8>>2]=c[l+8>>2];c[d+12>>2]=c[l+12>>2]}return}function kw(d,e,f,g){d=d|0;e=e|0;f=f|0;g=g|0;var i=0.0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;s=l;l=l+32|0;q=s+16|0;p=s;r=e+76|0;k=b[r>>1]|0;o=e+72|0;m=c[o>>2]|0;if(!m)n=vw((k*56|0)+112|0)|0;else n=xw(m,k+2|0,56,k+1|0)|0;c[o>>2]=n;k=b[r>>1]|0;m=n+(k*56|0)|0;c[m>>2]=f;a[n+(k*56|0)+48>>0]=g;if((f|0)!=0?(a[f>>0]|0)!=0:0){c[41782]=c[e+4>>2];h[20893]=+h[e+16>>3];g=c[d+144>>2]|0;c[n+(k*56|0)+4>>2]=bb[c[g>>2]&31](g,167128,1)|0;pA(p,d,m);j=+h[p>>3];h[q>>3]=j;i=+h[p+8>>3]}else{h[q>>3]=0.0;i=+(~~(+h[e+16>>3]*1.2)|0);h[n+(k*56|0)+40>>3]=i;j=0.0}b[r>>1]=(b[r>>1]|0)+1<<16>>16;r=e+24|0;h[r>>3]=+h[(+h[r>>3]>j?r:q)>>3];r=e+32|0;h[r>>3]=+h[r>>3]+i;l=s;return}function lw(b,e,f,g,i,j){b=b|0;e=e|0;f=f|0;g=+g;i=i|0;j=j|0;var k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+32|0;r=u+16|0;q=u+8|0;p=u;t=vw(88)|0;switch(Co(b)|0){case 0:{m=0;s=c[b+60>>2]|0;n=b;o=0;break}case 1:{m=0;s=so(ro(b)|0)|0;n=0;o=b;break}case 2:{m=b;s=so(ro(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0)|0;n=0;o=0;break}default:{m=0;s=0;n=0;o=0}}c[t+4>>2]=i;c[t+8>>2]=j;h[t+16>>3]=g;k=s+16|0;j=t+12|0;c[j>>2]=d[(c[k>>2]|0)+115>>0];a:do if(f&4){c[t>>2]=GL(e)|0;if(f&2|0)a[t+82>>0]=1}else switch(f|0){case 2:{c[t>>2]=GL(e)|0;a[t+82>>0]=1;if(!(TF(b,t)|0))break a;switch(Co(b)|0){case 0:{c[p>>2]=Dn(n)|0;_l(3,87017,p)|0;break a}case 1:{c[q>>2]=Dn(o)|0;_l(3,87039,q)|0;break a}case 2:{p=Dn(c[((c[m>>2]&3|0)==3?m:m+48|0)+40>>2]|0)|0;q=(qn(s)|0)!=0;s=Dn(c[((c[m>>2]&3|0)==2?m:m+-48|0)+40>>2]|0)|0;c[r>>2]=p;c[r+4>>2]=q?122546:122549;c[r+8>>2]=s;_l(3,87060,r)|0;break a}default:break a}}case 0:{i=mw(e,b,0)|0;c[t>>2]=i;if((c[j>>2]|0)==1)i=yB(i)|0;else i=vB(i,s)|0;_I(c[t>>2]|0);c[t>>2]=i;jw(c[(c[k>>2]|0)+144>>2]|0,t);break a}default:ma(87087,87103,166,87112)}while(0);l=u;return t|0}function mw(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0;switch(Co(d)|0){case 0:{i=Dn(d)|0;g=rJ(i)|0;f=c[(c[d+16>>2]|0)+12>>2]|0;if(f){f=c[f>>2]|0;if(!b){v=0;t=2;u=2;s=2;h=2;y=87135;m=87132;j=90527;o=174181;q=174181;p=0;r=0;n=2;w=f;x=87129}else{v=0;t=2;u=2;s=2;h=2;y=87135;m=87132;j=90527;o=174181;q=174181;p=0;r=0;n=rJ(f)|0;w=f;x=87129}}else{v=0;t=2;u=2;s=2;h=2;y=87135;m=87132;j=90527;o=174181;q=174181;p=0;r=0;n=2;w=87123;x=87129}break}case 1:{i=Dn(ro(d)|0)|0;g=rJ(i)|0;j=Dn(d)|0;h=rJ(j)|0;f=c[(c[d+16>>2]|0)+104>>2]|0;if(f){f=c[f>>2]|0;if(!b){v=0;t=2;u=2;s=2;y=87135;m=87132;o=174181;q=174181;p=0;r=0;n=2;w=f;x=87129}else{v=0;t=2;u=2;s=2;y=87135;m=87132;o=174181;q=174181;p=0;r=0;n=rJ(f)|0;w=f;x=87129}}else{v=0;t=2;u=2;s=2;y=87135;m=87132;o=174181;q=174181;p=0;r=0;n=2;w=87123;x=87129}break}case 2:{h=d+48|0;i=Dn(so(ro(c[((c[d>>2]&3|0)==3?d:h)+40>>2]|0)|0)|0)|0;g=rJ(i)|0;l=Dn(c[((c[d>>2]&3|0)==3?d:h)+40>>2]|0)|0;k=rJ(l)|0;f=d+16|0;q=c[(c[f>>2]|0)+52>>2]|0;if(!q)r=0;else r=rJ(q)|0;m=Dn(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)|0;f=c[f>>2]|0;o=c[f+92>>2]|0;if(!o)p=0;else p=rJ(o)|0;j=rJ(m)|0;f=c[f+96>>2]|0;if(f){f=c[f>>2]|0;if(!b)n=2;else n=rJ(f)|0}else{n=2;f=87123}x=(qn(so(ro(c[((c[d>>2]&3|0)==3?d:h)+40>>2]|0)|0)|0)|0)==0;v=1;t=k;u=j;s=k+2+(r|0?r+1|0:0)+j+(p|0?p+1|0:0)|0;h=2;y=l;j=90527;w=f;x=x?122549:122546;break}default:{v=0;t=2;u=2;s=2;h=2;g=2;y=87135;m=87132;j=90527;i=87126;o=174181;q=174181;p=0;r=0;n=2;w=87123;x=87129}}e=(e|0)==0;l=0;f=b;a:while(1){d=f+1|0;b:do switch(a[f>>0]|0){case 0:break a;case 92:{f=f+2|0;switch(a[d>>0]|0){case 78:{k=h;break b}case 71:{k=g;break b}case 69:{k=s;break b}case 72:{k=u;break b}case 84:{k=t;break b}case 76:{k=n;break b}case 92:{if(!e){k=1;break b}break}default:{}}k=2;break}default:{k=1;f=d}}while(0);l=l+k|0}s=ww(l+1|0)|0;n=(v|0)==0;l=(r|0)==0;d=(p|0)==0;f=s;g=b;c:while(1){k=g+1|0;h=a[g>>0]|0;switch(h<<24>>24){case 0:break c;case 92:break;default:{a[f>>0]=h;f=f+1|0;g=k;continue c}}h=g+2|0;g=a[k>>0]|0;switch(g<<24>>24|0){case 71:{g=i;while(1){b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24)){g=h;continue c}g=g+1|0;f=f+1|0}}case 78:{g=j;while(1){b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24)){g=h;continue c}g=g+1|0;f=f+1|0}}case 69:{if(n){g=h;continue c}else g=y;while(1){b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24))break;g=g+1|0;f=f+1|0}if(l)g=x;else{a[f>>0]=58;g=q;while(1){f=f+1|0;b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24)){g=x;break}else g=g+1|0}}while(1){b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24)){g=m;break}g=g+1|0;f=f+1|0}while(1){b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24))break;g=g+1|0;f=f+1|0}if(d){g=h;continue c}a[f>>0]=58;g=o;while(1){f=f+1|0;b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24)){g=h;continue c}else g=g+1|0}}case 84:{g=y;while(1){b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24)){g=h;continue c}g=g+1|0;f=f+1|0}}case 72:{g=m;while(1){b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24)){g=h;continue c}f=f+1|0;g=g+1|0}}case 76:{g=w;while(1){b=a[g>>0]|0;a[f>>0]=b;if(!(b<<24>>24)){g=h;continue c}f=f+1|0;g=g+1|0}}case 92:{if(!e){a[f>>0]=92;f=f+1|0;g=h;continue c}break}default:{}}a[f>>0]=92;a[f+1>>0]=g;f=f+2|0;g=h}a[f>>0]=0;return s|0}function nw(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;if(a|0){d=a;e=0;while(1){if((e|0)>=(b|0))break;if(!e)_I(c[d>>2]|0);g=c[d+8>>2]|0;if(g|0?(f=c[d+12>>2]|0,f|0):0)gb[f&127](g);d=d+56|0;e=e+1|0}_I(a)}return}function ow(d){d=d|0;var e=0;if(d|0){_I(c[d>>2]|0);e=d+72|0;if(a[d+82>>0]|0){e=c[e>>2]|0;if(e|0)EF(e,1)}else nw(c[e>>2]|0,b[d+76>>1]|0);_I(d)}return}function pw(d,e,f){d=d|0;e=e|0;f=f|0;var g=0.0,i=0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+32|0;q=u+16|0;r=u;k=c[d+16>>2]|0;s=k+12|0;t=c[s>>2]|0;c[s>>2]=e;if(!(a[f+82>>0]|0)){p=f+76|0;if((b[p>>1]|0)>=1){yD(d,0);BD(d,c[f+8>>2]|0);switch(a[f+80>>0]|0){case 116:{j=+h[f+64>>3];g=+h[f+48>>3]*.5+j;break}case 98:{j=+h[f+64>>3];g=+h[f+48>>3]*-.5+j+ +h[f+32>>3];break}default:{j=+h[f+64>>3];g=+h[f+32>>3]*.5+j}}g=g-+h[f+16>>3];o=r+8|0;h[o>>3]=g;if(b[k+260>>1]&512)h[o>>3]=g-j;m=f+72|0;n=f+56|0;i=f+40|0;e=0;while(1){if((e|0)>=(b[p>>1]|0))break;k=c[m>>2]|0;switch(a[k+(e*56|0)+48>>0]|0){case 108:{g=+h[n>>3]-+h[i>>3]*.5;break}case 114:{g=+h[i>>3]*.5+ +h[n>>3];break}default:g=+h[n>>3]}h[r>>3]=g;c[q>>2]=c[r>>2];c[q+4>>2]=c[r+4>>2];c[q+8>>2]=c[r+8>>2];c[q+12>>2]=c[r+12>>2];AD(d,q,k+(e*56|0)|0);h[o>>3]=+h[o>>3]-+h[(c[m>>2]|0)+(e*56|0)+40>>3];e=e+1|0}zD(d);i=18}}else{jF(d,c[f+72>>2]|0,f);i=18}if((i|0)==18)c[s>>2]=t;l=u;return}function qw(a,b){a=a|0;b=b|0;return mw(a,b,1)|0}function rw(a){a=a|0;return sw(a,0)|0}function sw(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;e=c[42251]|0;if(!e){c[42252]=64;e=ww(64)|0;c[42251]=e}j=d<<24>>24==0;i=0;f=0;h=b;while(1){if(!h)break;d=a[h>>0]|0;if(!(d<<24>>24))break;b=c[42252]|0;if((i|0)>(b+-8|0)){e=b<<1;c[42252]=e;e=yw(c[42251]|0,e)|0;c[42251]=e;e=e+i|0;d=a[h>>0]|0}a:do switch(d<<24>>24){case 38:{if(j?(tw(h)|0)!=0:0)k=18;else{f=5;d=87164}break}case 60:{f=4;d=87187;break}case 62:{f=4;d=87170;break}case 45:{f=5;d=87181;break}default:{if((f|0)!=0&d<<24>>24==32)if((a[f>>0]|0)==32){f=6;d=87157;break a}else{k=18;break a}switch(d<<24>>24){case 34:{f=6;d=87150;break a}case 39:{f=5;d=87175;break a}case 10:if(j){k=18;break a}else{f=5;d=87144;break a}default:{k=18;break a}}}}while(0);if((k|0)==18){k=0;d=j|d<<24>>24!=13;f=d?1:5;d=d?h:87138}g=e+f|0;b=f;while(1){if(!b)break;a[e>>0]=a[d>>0]|0;b=b+-1|0;d=d+1|0;e=e+1|0}b=h;i=f+i|0;e=g;h=h+1|0;f=b}a[e>>0]=0;return c[42251]|0}function tw(b){b=b|0;var c=0,d=0;d=b+1|0;c=a[d>>0]|0;a:do if(c<<24>>24==35){d=b+2|0;c=a[d>>0]|0;switch(c<<24>>24){case 88:case 120:break;default:{b=d;while(1){d=b+1|0;if((c+-48&255)>=10)break a;b=d;c=a[d>>0]|0}}}d=b+3|0;while(1){c=a[d>>0]|0;if((c+-48&255)>=10)switch(c<<24>>24){case 65:case 66:case 67:case 68:case 69:case 70:case 97:case 98:case 99:case 100:case 101:case 102:break;default:break a}d=d+1|0}}else while(1){b=d+1|0;if(((c&-33)+-65&255)>=26)break a;d=b;c=a[b>>0]|0}while(0);return c<<24>>24==59|0}function uw(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0;d=c[42253]|0;if(!d){c[42254]=64;d=ww(64)|0;c[42253]=d;i=0}else i=0;while(1){if(!b)break;e=a[b>>0]|0;if(!(e<<24>>24))break;f=c[42254]|0;if((i|0)>(f+-8|0)){d=f<<1;c[42254]=d;d=yw(c[42253]|0,d)|0;c[42253]=d;d=d+i|0;e=a[b>>0]|0}switch(e<<24>>24){case 38:{if(!(tw(b)|0)){g=5;e=87164}else j=12;break}case 60:{g=4;e=87187;break}case 62:{g=4;e=87170;break}case 34:{g=6;e=87150;break}case 39:{g=5;e=87175;break}default:j=12}if((j|0)==12){j=0;g=1;e=b}h=d+g|0;f=g;while(1){if(!f)break;a[d>>0]=a[e>>0]|0;f=f+-1|0;e=e+1|0;d=d+1|0}i=g+i|0;d=h;b=b+1|0}a[d>>0]=0;return c[42253]|0}function vw(a){a=a|0;var b=0;if(!a)a=0;else{b=ww(a)|0;VN(b|0,0,a|0)|0;a=b}return a|0}function ww(a){a=a|0;if(a){a=ZI(a)|0;if(!a){XL(96532,14,1,c[13918]|0)|0;a=0}}else a=0;return a|0}function xw(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;a=aJ(a,O(d,b)|0)|0;if(!((b|0)!=0&(a|0)==0)){if(b>>>0>e>>>0)VN(a+(O(e,d)|0)|0,0,O(b-e|0,d)|0)|0}else XL(96532,14,1,c[13918]|0)|0;return a|0}function yw(a,b){a=a|0;b=b|0;a=aJ(a,b)|0;if((b|0)!=0&(a|0)==0)XL(96532,14,1,c[13918]|0)|0;return a|0}function zw(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0.0,m=0,n=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+80|0;r=u+40|0;q=u+32|0;n=u+24|0;m=u;s=4;t=ZI(40)|0;c[t>>2]=0;f=u+68|0;g=u+64|0;if(0){o=0;ha(57,a|0,f|0,g|0);i=o;o=0;if((i|0)!=0&(p|0)!=0){j=SN(c[i>>2]|0,t|0,s|0)|0;if(!j)Ua(i|0,p|0);z=p}else j=-1;if((j|0)!=1){j=c[13918]|0;i=c[f>>2]|0;f=c[g>>2]|0;o=0;c[m>>2]=87236;c[m+4>>2]=i;c[m+8>>2]=f;c[m+12>>2]=d;c[m+16>>2]=b;aa(13,j|0,87192,m|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)!=1){o=0;ea(1);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)!=1)j=6;else{f=z;j=15}}else{f=z;j=15}}else{f=z;j=15}}else j=6;do if((j|0)==6){o=0;f=_(20,a|0)|0;g=o;o=0;if((g|0)!=0&(p|0)!=0){i=SN(c[g>>2]|0,t|0,s|0)|0;if(!i)Ua(g|0,p|0);z=p}else i=-1;if((i|0)!=1){if(!f){o=0;ea(2);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;break}}if((d|0)<1){o=0;ea(3);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;break}f=0;break}else{c[42255]=(e|0)>-1?e:30;t=RN(169024,1,t|0,s|0)|0;s=z;o=0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;break}f=0;j=15;break}}else{f=z;j=15}}while(0);a:do if((j|0)==15){b:while(1){if(f|0){f=2;break a}o=0;ea(4);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue}a=c[13918]|0;m=0;while(1){o=0;j=Z(1)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}if(!j)break;o=0;f=_(21,j|0)|0;g=o;o=0;if((g|0)!=0&(p|0)!=0){i=SN(c[g>>2]|0,t|0,s|0)|0;if(!i)Ua(g|0,p|0);z=p}else i=-1;if((i|0)==1){f=z;j=15;continue b}o=0;ga(24,j|0,f|0);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}m=m+1|0;do if(((m|0)%100|0|0)==0&0!=0){f=(m|0)%1e3|0;if((f|0)==100){o=0;$(27,87236,a|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}o=0;c[n>>2]=m;aa(13,a|0,87254,n|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}break}o=0;c[q>>2]=m;aa(13,a|0,87254,q|0)|0;g=o;o=0;if((g|0)!=0&(p|0)!=0){i=SN(c[g>>2]|0,t|0,s|0)|0;if(!i)Ua(g|0,p|0);z=p}else i=-1;if((i|0)==1){f=z;j=15;continue b}if(!f){o=0;$(28,10,a|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}}}while(0);if((m|0)>=(d|0))break}switch(b|0){case 1:{o=0;ea(5);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}break}case 2:{o=0;ea(6);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}break}default:{o=0;ea(7);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}o=0;ea(3);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue b}}}if(!0){f=0;break a}if((m|0)>99){o=0;$(28,10,a|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15;continue}}f=c[42295]|0;g=c[42296]|0;o=0;k=+X(1);i=o;o=0;if((i|0)!=0&(p|0)!=0){j=SN(c[i>>2]|0,t|0,s|0)|0;if(!j)Ua(i|0,p|0);z=p}else j=-1;if((j|0)==1){f=z;j=15;continue}o=0;c[r>>2]=87236;c[r+4>>2]=f;c[r+8>>2]=g;c[r+12>>2]=m;h[r+16>>3]=k;aa(13,a|0,87258,r|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,s|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){f=z;j=15}else break}f=0}while(0);_I(t|0);l=u;return f|0}function Aw(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;a=(c[a+16>>2]|0)+192|0;e=0;h=0;while(1){a=c[a>>2]|0;if(!a)break;g=c[a+16>>2]|0;f=c[g+180>>2]|0;a=0;while(1){if(!(c[f+(a<<2)>>2]|0))break;a=a+1|0;e=e+1|0}a=g+164|0;h=h+1|0}c[b>>2]=h;c[d>>2]=e;return}function Bw(b){b=b|0;var d=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0;c[42298]=b;c[42305]=0;c[42296]=0;c[42295]=0;i=b+16|0;b=(c[i>>2]|0)+192|0;h=0;f=0;while(1){b=c[b>>2]|0;if(!b)break;g=c[b+16>>2]|0;a[g+157>>0]=0;h=h+1|0;c[42295]=h;d=c[g+180>>2]|0;b=0;while(1){if(!(c[d+(b<<2)>>2]|0))break;k=f+1|0;c[42296]=k;b=b+1|0;f=k}b=g+164|0}b=c[42306]|0;if(!b)b=ww(h<<2)|0;else b=yw(b,h<<2)|0;c[42306]=b;c[42307]=0;b=c[42300]|0;if(!b)b=ww(c[42295]<<2)|0;else b=yw(b,c[42295]<<2)|0;c[42300]=b;c[42299]=0;d=1;b=(c[i>>2]|0)+192|0;while(1){b=c[b>>2]|0;if(!b)break;k=b+16|0;i=c[k>>2]|0;j=i+292|0;c[j>>2]=0;i=c[i+172>>2]|0;h=d;g=0;b=0;while(1){d=c[i+(g<<2)>>2]|0;if(!d)break;f=b+1|0;c[j>>2]=f;b=c[d+16>>2]|0;c[b+160>>2]=0;c[b+164>>2]=-1;if(!h)b=0;else{l=c[d>>2]&3;b=((c[(c[(c[((l|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((l|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)|0)<(e[b+170>>1]|0|0)?0:h}h=b;g=g+1|0;b=f}b=vw((g<<2)+4|0)|0;d=c[k>>2]|0;c[d+264>>2]=b;c[d+268>>2]=0;d=c[d+180>>2]|0;b=0;do{l=b;b=b+1|0}while((c[d+(l<<2)>>2]|0)!=0);d=vw(b<<2)|0;b=c[k>>2]|0;c[b+272>>2]=d;c[b+276>>2]=0;d=h;b=b+164|0}return d|0}function Cw(){var a=0,b=0,d=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;n=o+8|0;k=o;m=zA(c[42295]|0)|0;a=(c[(c[42298]|0)+16>>2]|0)+192|0;while(1){b=c[a>>2]|0;if(!b){j=0;break}d=b+16|0;a=c[d>>2]|0;if(!(c[a+292>>2]|0)){BA(m,b);a=c[d>>2]|0}a=a+164|0}while(1){a=CA(m)|0;if(!a)break;i=a+16|0;a=c[i>>2]|0;f=a+232|0;c[f>>2]=0;d=c[a+172>>2]|0;b=0;h=0;while(1){g=c[d+(b<<2)>>2]|0;if(!g){f=0;break}g=(c[(c[(c[((c[g>>2]&3|0)==3?g:g+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)+(e[(c[g+16>>2]|0)+170>>1]|0)|0;g=(h|0)>(g|0)?h:g;c[f>>2]=g;b=b+1|0;h=g}while(1){b=c[(c[a+180>>2]|0)+(f<<2)>>2]|0;if(!b)break;d=b+-48|0;g=(c[(c[((c[b>>2]&3|0)==2?b:d)+40>>2]|0)+16>>2]|0)+292|0;h=c[g>>2]|0;c[g>>2]=h+-1;if((h|0)<2){BA(m,c[((c[b>>2]&3|0)==2?b:d)+40>>2]|0);a=c[i>>2]|0}f=f+1|0}j=j+1|0}a:do if((j|0)!=(c[42295]|0)){_l(1,87590,k)|0;a=(c[(c[42298]|0)+16>>2]|0)+192|0;while(1){b=c[a>>2]|0;if(!b)break a;d=b+16|0;a=c[d>>2]|0;if(c[a+292>>2]|0){k=Dn(b)|0;a=c[(c[d>>2]|0)+292>>2]|0;c[n>>2]=k;c[n+4>>2]=a;_l(3,87612,n)|0;a=c[d>>2]|0}a=a+164|0}}while(0);AA(m);l=o;return}function Dw(){var b=0,d=0,e=0;b=(c[(c[42298]|0)+16>>2]|0)+192|0;while(1){b=c[b>>2]|0;if(!b)break;e=b+16|0;b=c[e>>2]|0;d=c[b+264>>2]|0;if(d){_I(d);b=c[e>>2]|0}d=c[b+272>>2]|0;if(d){_I(d);b=c[e>>2]|0}a[b+157>>0]=0;b=b+164|0}return}function Ew(){var a=0,b=0,d=0,e=0,f=0;a=(c[(c[42298]|0)+16>>2]|0)+192|0;while(1){a=c[a>>2]|0;if(!a)break;a=c[a+16>>2]|0;c[a+280>>2]=0;a=a+164|0}f=vw(c[42295]<<2)|0;e=0;a=(c[(c[42298]|0)+16>>2]|0)+192|0;while(1){b=c[a>>2]|0;if(!b)break;d=b+16|0;a=c[d>>2]|0;if(!(c[a+280>>2]|0)){c[f+(e<<2)>>2]=Rw(b)|0;b=e+1|0;a=c[d>>2]|0}else b=e;e=b;a=a+164|0}a=Sw(f,e)|0;while(1){if((Tw(a)|0)<=1)break;Xw(a,c[(Ww(Vw(Uw(a)|0)|0)|0)+8>>2]|0)}_I(a);a=0;while(1){if((a|0)>=(e|0))break;_I(c[f+(a<<2)>>2]|0);a=a+1|0}_I(f);if((c[42299]|0)==((c[42295]|0)+-1|0)){Yw();return}else ma(87335,87365,523,87370)}function Fw(){var a=0,b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;i=c[42305]|0;f=c[42299]|0;j=c[42300]|0;k=c[42255]|0;b=0;a=0;g=i;while(1){if((g|0)>=(f|0)){h=8;break}e=c[j+(g<<2)>>2]|0;d=c[(c[e+16>>2]|0)+160>>2]|0;if((d|0)<0){if(!a)a=e;else a=(c[(c[a+16>>2]|0)+160>>2]|0)>(d|0)?e:a;b=b+1|0;if((b|0)>=(k|0))break}e=g+1|0;c[42305]=e;g=e}if((h|0)==8)if((i|0)>0){f=0;while(1){if((f|0)>=(i|0))break;d=c[j+(f<<2)>>2]|0;e=c[(c[d+16>>2]|0)+160>>2]|0;if((e|0)<0){if(!a)a=d;else a=(c[(c[a+16>>2]|0)+160>>2]|0)>(e|0)?d:a;b=b+1|0;if((b|0)>=(k|0))break}f=f+1|0}c[42305]=f}return a|0}function Gw(a){a=a|0;var b=0,d=0;b=c[a>>2]&3;d=c[((b|0)==3?a:a+48|0)+40>>2]|0;a=c[((b|0)==2?a:a+-48|0)+40>>2]|0;b=(c[(c[d+16>>2]|0)+288>>2]|0)<(c[(c[a+16>>2]|0)+288>>2]|0);a=b?d:a;c[42301]=0;c[42302]=2147483647;d=c[a+16>>2]|0;c[42303]=c[d+284>>2];c[42304]=c[d+288>>2];if(b)Qw(a);else Pw(a);return c[42301]|0}function Hw(a,b){a=a|0;b=b|0;var d=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;n=o;g=c[b>>2]&3;m=b+-48|0;j=b+48|0;k=b+16|0;g=(c[(c[(c[((g|0)==2?b:m)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((g|0)==3?b:j)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[(c[k>>2]|0)+170>>1]|0)|0;do if((g|0)>0){d=c[a>>2]&3;h=c[((d|0)==3?a:a+48|0)+40>>2]|0;i=c[h+16>>2]|0;if(((c[i+276>>2]|0)+(c[i+268>>2]|0)|0)==1){Lw(h,g);break}d=c[((d|0)==2?a:a+-48|0)+40>>2]|0;f=c[d+16>>2]|0;if(((c[f+276>>2]|0)+(c[f+268>>2]|0)|0)==1){Lw(d,0-g|0);break}if((c[i+288>>2]|0)<(c[f+288>>2]|0)){Lw(h,g);break}else{Lw(d,0-g|0);break}}while(0);d=a+16|0;f=c[(c[d>>2]|0)+160>>2]|0;g=c[b>>2]&3;g=Mw(c[((g|0)==3?b:j)+40>>2]|0,c[((g|0)==2?b:m)+40>>2]|0,f,1)|0;i=c[b>>2]&3;if((Mw(c[((i|0)==2?b:m)+40>>2]|0,c[((i|0)==3?b:j)+40>>2]|0,f,0)|0)==(g|0)){c[(c[k>>2]|0)+160>>2]=0-f;c[(c[d>>2]|0)+160>>2]=0;Nw(a,b);n=c[g+16>>2]|0;Ow(g,c[n+280>>2]|0,c[n+284>>2]|0)|0;l=o;return}else{_l(1,87296,n)|0;Ua(169024,1)}}function Iw(){var b=0,d=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;Kw();m=vw((c[42297]<<2)+4|0)|0;d=c[42297]|0;b=0;while(1){if((b|0)>(d|0))break;c[m+(b<<2)>>2]=0;b=b+1|0}b=(c[(c[42298]|0)+16>>2]|0)+192|0;d=b;while(1){d=c[d>>2]|0;if(!d)break;d=c[d+16>>2]|0;if(!(a[d+156>>0]|0)){l=m+(c[d+232>>2]<<2)|0;c[l>>2]=(c[l>>2]|0)+1}d=d+164|0}while(1){b=c[b>>2]|0;if(!b)break;l=b+16|0;b=c[l>>2]|0;if(!(a[b+156>>0]|0)){h=c[42297]|0;f=c[b+172>>2]|0;k=0;j=0;d=0;while(1){g=c[f+(d<<2)>>2]|0;if(!g)break;n=c[g+16>>2]|0;i=(c[(c[(c[((c[g>>2]&3|0)==3?g:g+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)+(e[n+170>>1]|0)|0;k=(c[n+156>>2]|0)+k|0;j=(j|0)>(i|0)?j:i;d=d+1|0}g=c[b+180>>2]|0;i=0;d=0;while(1){f=c[g+(d<<2)>>2]|0;if(!f)break;o=c[f+16>>2]|0;n=(c[(c[(c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[o+170>>1]|0)|0;i=(c[o+156>>2]|0)+i|0;h=(h|0)<(n|0)?h:n;d=d+1|0}d=(j|0)>0?j:0;if((k|0)==(i|0)){g=d;f=d;while(1){d=f+1|0;if((f|0)>=(h|0))break;g=(c[m+(d<<2)>>2]|0)<(c[m+(g<<2)>>2]|0)?d:g;f=d}o=b+232|0;n=m+(c[o>>2]<<2)|0;c[n>>2]=(c[n>>2]|0)+-1;n=m+(g<<2)|0;c[n>>2]=(c[n>>2]|0)+1;c[o>>2]=g}d=c[b+264>>2]|0;if(d){_I(d);b=c[l>>2]|0}d=c[b+272>>2]|0;if(d){_I(d);b=c[l>>2]|0}a[b+157>>0]=0}b=b+164|0}_I(m);return}function Jw(){var a=0,b=0,d=0,f=0,g=0,h=0;b=0;while(1){if((b|0)>=(c[42299]|0))break;a=c[(c[42300]|0)+(b<<2)>>2]|0;do if(((c[(c[a+16>>2]|0)+160>>2]|0)==0?(d=Gw(a)|0,d|0):0)?(f=c[d>>2]&3,f=(c[(c[(c[((f|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((f|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[(c[d+16>>2]|0)+170>>1]|0)|0,(f|0)>=2):0){h=c[a>>2]&3;g=c[((h|0)==3?a:a+48|0)+40>>2]|0;a=c[((h|0)==2?a:a+-48|0)+40>>2]|0;if((c[(c[g+16>>2]|0)+288>>2]|0)<(c[(c[a+16>>2]|0)+288>>2]|0)){Lw(g,f>>>1);break}else{Lw(a,(f|0)/-2|0);break}}while(0);b=b+1|0}Dw();return}function Kw(){var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0;i=l;l=l+16|0;h=i;c[h>>2]=0;c[h>>2]=2147483647;c[42297]=-2147483647;b=(c[(c[42298]|0)+16>>2]|0)+192|0;e=b;g=2147483647;f=-2147483647;while(1){d=c[e>>2]|0;if(!d)break;e=c[d+16>>2]|0;if(!(a[e+156>>0]|0)){j=c[e+232>>2]|0;d=(g|0)<(j|0)?g:j;c[h>>2]=d;f=(f|0)>(j|0)?f:j;c[42297]=f}else d=g;e=e+164|0;g=d}if(g|0){while(1){b=c[b>>2]|0;if(!b)break;b=c[b+16>>2]|0;j=b+232|0;c[j>>2]=(c[j>>2]|0)-g;b=b+164|0}c[42297]=f-g;c[h>>2]=0}l=i;return}function Lw(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;f=a+16|0;a=c[f>>2]|0;e=a+232|0;c[e>>2]=(c[e>>2]|0)-b;e=0;while(1){d=c[(c[a+272>>2]|0)+(e<<2)>>2]|0;if(!d){e=0;break}if((d|0)!=(c[a+280>>2]|0)){Lw(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0,b);a=c[f>>2]|0}e=e+1|0}while(1){d=c[(c[a+264>>2]|0)+(e<<2)>>2]|0;if(!d)break;if((d|0)!=(c[a+280>>2]|0)){Lw(c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0,b);a=c[f>>2]|0}e=e+1|0}return}function Mw(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;g=(e|0)==0&1;h=0-d|0;f=c[(c[b+16>>2]|0)+288>>2]|0;b=a;while(1){a=c[b+16>>2]|0;if((c[a+284>>2]|0)<=(f|0)?(f|0)<=(c[a+288>>2]|0):0)break;a=c[a+280>>2]|0;i=a+48|0;j=(c[a+16>>2]|0)+160|0;c[j>>2]=(((b|0)==(c[((c[a>>2]&3|0)==3?a:i)+40>>2]|0)?e:g)|0?d:h)+(c[j>>2]|0);j=c[a>>2]&3;i=c[((j|0)==3?a:i)+40>>2]|0;a=c[((j|0)==2?a:a+-48|0)+40>>2]|0;b=(c[(c[i+16>>2]|0)+288>>2]|0)>(c[(c[a+16>>2]|0)+288>>2]|0)?i:a}return b|0}function Nw(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;i=a+16|0;e=(c[i>>2]|0)+164|0;c[(c[b+16>>2]|0)+164>>2]=c[e>>2];c[(c[42300]|0)+(c[e>>2]<<2)>>2]=b;c[(c[i>>2]|0)+164>>2]=-1;i=(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)+16|0;e=c[i>>2]|0;g=e+276|0;f=c[g>>2]|0;j=f+-1|0;c[g>>2]=j;g=e+272|0;h=0;while(1){if((h|0)>=(f|0)){k=3;break}d=c[g>>2]|0;if((c[d+(h<<2)>>2]|0)==(a|0))break;h=h+1|0}if((k|0)==3)d=c[e+272>>2]|0;c[d+(h<<2)>>2]=c[d+(j<<2)>>2];c[(c[(c[i>>2]|0)+272>>2]|0)+(j<<2)>>2]=0;i=(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0)+16|0;e=c[i>>2]|0;g=e+268|0;f=c[g>>2]|0;j=f+-1|0;c[g>>2]=j;g=e+264|0;h=0;while(1){if((h|0)>=(f|0)){k=8;break}d=c[g>>2]|0;if((c[d+(h<<2)>>2]|0)==(a|0))break;h=h+1|0}if((k|0)==8)d=c[e+264>>2]|0;c[d+(h<<2)>>2]=c[d+(j<<2)>>2];c[(c[(c[i>>2]|0)+264>>2]|0)+(j<<2)>>2]=0;k=(c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)+16|0;a=c[k>>2]|0;j=c[a+272>>2]|0;a=a+276|0;i=c[a>>2]|0;c[a>>2]=i+1;c[j+(i<<2)>>2]=b;k=c[k>>2]|0;c[(c[k+272>>2]|0)+(c[k+276>>2]<<2)>>2]=0;k=(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)+16|0;i=c[k>>2]|0;j=c[i+264>>2]|0;i=i+268|0;a=c[i>>2]|0;c[i>>2]=a+1;c[j+(a<<2)>>2]=b;k=c[k>>2]|0;c[(c[k+264>>2]|0)+(c[k+268>>2]<<2)>>2]=0;return}function Ow(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;g=a+16|0;a=c[g>>2]|0;c[a+280>>2]=b;c[a+284>>2]=d;f=0;while(1){e=c[(c[a+272>>2]|0)+(f<<2)>>2]|0;if(!e){f=0;break}if((e|0)!=(b|0)){d=Ow(c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0,e,d)|0;a=c[g>>2]|0}f=f+1|0}while(1){e=c[(c[a+264>>2]|0)+(f<<2)>>2]|0;if(!e)break;if((e|0)!=(b|0)){d=Ow(c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0,e,d)|0;a=c[g>>2]|0}f=f+1|0}c[a+288>>2]=d;return d+1|0}function Pw(a){a=a|0;var b=0,d=0,f=0,g=0,h=0,i=0,j=0;i=a+16|0;g=0;while(1){a=c[i>>2]|0;d=c[(c[a+180>>2]|0)+(g<<2)>>2]|0;if(!d){d=0;break}f=c[d+16>>2]|0;if((c[f+164>>2]|0)<0){a=c[d>>2]&3;b=c[(c[((a|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0;j=c[b+288>>2]|0;if((c[42303]|0)>(j|0)|(j|0)>(c[42304]|0)?(h=(c[b+232>>2]|0)-(c[(c[(c[((a|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[f+170>>1]|0)|0,(h|0)<(c[42302]|0)|(c[42301]|0)==0):0){c[42301]=d;c[42302]=h}}else{b=c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0;if((c[(c[b+16>>2]|0)+288>>2]|0)<(c[a+288>>2]|0))Pw(b)}g=g+1|0}while(1){b=c[(c[a+264>>2]|0)+(d<<2)>>2]|0;if(!((b|0)!=0&(c[42302]|0)>0))break;b=c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0;if((c[(c[b+16>>2]|0)+288>>2]|0)<(c[a+288>>2]|0)){Pw(b);a=c[i>>2]|0}d=d+1|0}return}function Qw(a){a=a|0;var b=0,d=0,f=0,g=0,h=0,i=0,j=0;i=a+16|0;g=0;while(1){a=c[i>>2]|0;d=c[(c[a+172>>2]|0)+(g<<2)>>2]|0;if(!d){d=0;break}f=c[d+16>>2]|0;if((c[f+164>>2]|0)<0){a=c[d>>2]&3;b=c[(c[((a|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0;j=c[b+288>>2]|0;if((c[42303]|0)>(j|0)|(j|0)>(c[42304]|0)?(h=(c[(c[(c[((a|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[b+232>>2]|0)-(e[f+170>>1]|0)|0,(h|0)<(c[42302]|0)|(c[42301]|0)==0):0){c[42301]=d;c[42302]=h}}else{b=c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0;if((c[(c[b+16>>2]|0)+288>>2]|0)<(c[a+288>>2]|0))Qw(b)}g=g+1|0}while(1){b=c[(c[a+272>>2]|0)+(d<<2)>>2]|0;if(!((b|0)!=0&(c[42302]|0)>0))break;b=c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0;if((c[(c[b+16>>2]|0)+288>>2]|0)<(c[a+288>>2]|0)){Qw(b);a=c[i>>2]|0}d=d+1|0}return}function Rw(a){a=a|0;var b=0;b=vw(16)|0;c[b>>2]=a;c[b+4>>2]=fx(a,b)|0;c[b+12>>2]=b;return b|0}function Sw(a,b){a=a|0;b=b|0;var d=0,e=0;e=vw(8)|0;c[e>>2]=a;c[e+4>>2]=b;d=0;while(1){if((d|0)>=(b|0))break;c[(c[a+(d<<2)>>2]|0)+8>>2]=d;d=d+1|0}d=(b|0)/2|0;while(1){if((d|0)<=-1)break;Xw(e,d);d=d+-1|0}return e|0}function Tw(a){a=a|0;return c[a+4>>2]|0}function Uw(a){a=a|0;var b=0,d=0,e=0,f=0;f=c[a>>2]|0;b=c[f>>2]|0;c[b+8>>2]=-1;d=a+4|0;e=(c[d>>2]|0)+-1|0;c[f>>2]=c[f+(e<<2)>>2];f=c[a>>2]|0;c[(c[f>>2]|0)+8>>2]=0;c[f+(e<<2)>>2]=b;c[d>>2]=e;Xw(a,0);return b|0}function Vw(a){a=a|0;return ex(c[a>>2]|0,0,0)|0}function Ww(a){a=a|0;var b=0,d=0,f=0,g=0,h=0,i=0;b=a+16|0;if((c[(c[b>>2]|0)+164>>2]|0)>-1)ma(87384,87365,463,87398);g=a+48|0;d=ax(c[((c[a>>2]&3|0)==3?a:g)+40>>2]|0)|0;i=a+-48|0;f=ax(c[((c[a>>2]&3|0)==2?a:i)+40>>2]|0)|0;h=c[a>>2]&3;b=(c[(c[(c[((h|0)==2?a:i)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((h|0)==3?a:g)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[(c[b>>2]|0)+170>>1]|0)|0;if((c[d+8>>2]|0)==-1)bx(c[d>>2]|0,0,b);else bx(c[f>>2]|0,0,0-b|0);cx(a);return dx(d,f)|0}function Xw(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;h=c[a>>2]|0;g=c[a+4>>2]|0;while(1){a=b<<1;f=a+2|0;a=a|1;if(!((a|0)<(g|0)?(c[(c[h+(a<<2)>>2]|0)+4>>2]|0)<(c[(c[h+(b<<2)>>2]|0)+4>>2]|0):0))a=b;if((f|0)>=(g|0))break;d=h+(f<<2)|0;e=c[d>>2]|0;if((f|0)==(b|0)?1:(c[e+4>>2]|0)>=(c[(c[h+(a<<2)>>2]|0)+4>>2]|0))break;i=h+(b<<2)|0;a=c[i>>2]|0;c[i>>2]=e;c[d>>2]=a;c[(c[i>>2]|0)+8>>2]=b;c[a+8>>2]=f;b=f}return}function Yw(){Ow(c[(c[(c[42298]|0)+16>>2]|0)+192>>2]|0,0,1)|0;Zw(c[(c[(c[42298]|0)+16>>2]|0)+192>>2]|0,0);return}function Zw(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;f=a+16|0;d=0;while(1){a=c[f>>2]|0;e=c[(c[a+272>>2]|0)+(d<<2)>>2]|0;if(!e){e=0;break}if((e|0)!=(b|0))Zw(c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0,e);d=d+1|0}while(1){d=c[(c[a+264>>2]|0)+(e<<2)>>2]|0;if(!d)break;if((d|0)!=(b|0)){Zw(c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0,d);a=c[f>>2]|0}e=e+1|0}if(b|0)_w(b);return}function _w(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0;b=c[a>>2]&3;d=c[((b|0)==3?a:a+48|0)+40>>2]|0;e=c[d+16>>2]|0;if((c[e+280>>2]|0)==(a|0))i=1;else{e=c[((b|0)==2?a:a+-48|0)+40>>2]|0;i=-1;d=e;e=c[e+16>>2]|0}g=c[e+180>>2]|0;b=0;f=0;while(1){h=c[g+(f<<2)>>2]|0;if(!h)break;b=($w(h,d,i)|0)+b|0;f=f+1|0}g=c[e+172>>2]|0;e=0;while(1){f=c[g+(e<<2)>>2]|0;if(!f)break;b=($w(f,d,i)|0)+b|0;e=e+1|0}c[(c[a+16>>2]|0)+160>>2]=b;return}function $w(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;h=c[a>>2]&3;i=(h|0)==3?a:a+48|0;e=c[i+40>>2]|0;if((e|0)==(b|0))e=c[((h|0)==2?a:a+-48|0)+40>>2]|0;g=c[b+16>>2]|0;f=c[(c[e+16>>2]|0)+288>>2]|0;if((c[g+284>>2]|0)<=(f|0)?(f|0)<=(c[g+288>>2]|0):0){f=c[a+16>>2]|0;if((c[f+164>>2]|0)>-1)e=c[f+160>>2]|0;else e=0;g=1;e=e-(c[f+156>>2]|0)|0}else{g=0;e=c[(c[a+16>>2]|0)+156>>2]|0}i=(c[((d|0)>0?((h|0)==2?a:a+-48|0):i)+40>>2]|0)==(b|0)?1:-1;return (((g?i:0-i|0)|0)<0?0-e|0:e)|0}function ax(a){a=a|0;var b=0,d=0;a=c[(c[a+16>>2]|0)+280>>2]|0;while(1){b=a+12|0;d=c[b>>2]|0;if(!((d|0)!=(a|0)&(d|0)!=0))break;a=c[d+12>>2]|0;if(!a){a=d;continue}c[b>>2]=a}return a|0}function bx(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;h=a+16|0;e=c[h>>2]|0;g=e+232|0;c[g>>2]=(c[g>>2]|0)+d;g=0;while(1){f=c[(c[e+264>>2]|0)+(g<<2)>>2]|0;if(!f){g=0;break}f=c[((c[f>>2]&3|0)==3?f:f+48|0)+40>>2]|0;if((f|0)!=(b|0)){bx(f,a,d);e=c[h>>2]|0}g=g+1|0}while(1){f=c[(c[e+272>>2]|0)+(g<<2)>>2]|0;if(!f)break;f=c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0;if((f|0)!=(b|0)){bx(f,a,d);e=c[h>>2]|0}g=g+1|0}return}function cx(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;h=l;l=l+32|0;d=(c[b+16>>2]|0)+164|0;if((c[d>>2]|0)>-1){_l(1,87487,h)|0;Ua(169024,1)}g=c[42299]|0;c[d>>2]=g;d=c[42300]|0;c[42299]=g+1;c[d+(g<<2)>>2]=b;d=c[b>>2]|0;g=b+48|0;e=c[((d&3|0)==3?b:g)+40>>2]|0;if(!(a[(c[e+16>>2]|0)+157>>0]|0)){f=c[42306]|0;d=c[42307]|0;c[42307]=d+1;c[f+(d<<2)>>2]=e;d=c[b>>2]|0}f=b+-48|0;e=c[((d&3|0)==2?b:f)+40>>2]|0;if(!(a[(c[e+16>>2]|0)+157>>0]|0)){i=c[42306]|0;d=c[42307]|0;c[42307]=d+1;c[i+(d<<2)>>2]=e;d=c[b>>2]|0}i=(c[((d&3|0)==3?b:g)+40>>2]|0)+16|0;d=c[i>>2]|0;a[d+157>>0]=1;e=c[d+272>>2]|0;d=d+276|0;g=c[d>>2]|0;c[d>>2]=g+1;c[e+(g<<2)>>2]=b;g=c[i>>2]|0;c[(c[g+272>>2]|0)+(c[g+276>>2]<<2)>>2]=0;i=c[i>>2]|0;if(!(c[(c[i+180>>2]|0)+((c[i+276>>2]|0)+-1<<2)>>2]|0)){_l(1,87521,h+8|0)|0;Ua(169024,1)}i=(c[((c[b>>2]&3|0)==2?b:f)+40>>2]|0)+16|0;e=c[i>>2]|0;a[e+157>>0]=1;f=c[e+264>>2]|0;e=e+268|0;g=c[e>>2]|0;c[e>>2]=g+1;c[f+(g<<2)>>2]=b;b=c[i>>2]|0;c[(c[b+264>>2]|0)+(c[b+268>>2]<<2)>>2]=0;i=c[i>>2]|0;if(!(c[(c[i+172>>2]|0)+((c[i+268>>2]|0)+-1<<2)>>2]|0)){_l(1,87556,h+16|0)|0;Ua(169024,1)}else{l=h;return}}function dx(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0;while(1){g=a+12|0;d=c[g>>2]|0;if((d|0)==0|(d|0)==(a|0))break;else a=d}while(1){f=b+12|0;d=c[f>>2]|0;if((d|0)==0|(d|0)==(b|0))break;else b=d}if((a|0)!=(b|0)){e=c[a+8>>2]|0;d=c[b+8>>2]|0;do if((e|0)>-1)if((d|0)==-1)h=a;else j=10;else if((d|0)>-1)if((e|0)==-1){h=b;break}else{j=10;break}else ma(87410,87365,327,87457);while(0);if((j|0)==10)h=(c[b+4>>2]|0)<(c[a+4>>2]|0)?a:b;c[f>>2]=h;c[g>>2]=h;c[h+4>>2]=(c[b+4>>2]|0)+(c[a+4>>2]|0);if((c[h+8>>2]|0)>-1)i=h;else ma(87468,87365,335,87457)}else i=a;return i|0}function ex(a,b,d){a=a|0;b=b|0;d=d|0;var f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;l=ax(a)|0;if(d){k=c[d>>2]&3;if(((c[(c[(c[((k|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((k|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)|0)!=(e[(c[d+16>>2]|0)+170>>1]|0|0))f=3}else{d=0;f=3}a:do if((f|0)==3){k=a+16|0;j=0;while(1){f=c[k>>2]|0;i=c[(c[f+180>>2]|0)+(j<<2)>>2]|0;if(!i){j=0;break}f=i+16|0;g=i+-48|0;h=c[((c[i>>2]&3|0)==2?i:g)+40>>2]|0;do if((c[(c[f>>2]|0)+164>>2]|0)>-1){if((h|0)!=(b|0))d=ex(h,a,d)|0}else if((ax(h)|0)!=(l|0)){if(d|0?(m=c[i>>2]&3,h=c[d>>2]&3,((c[(c[(c[((m|0)==2?i:g)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((m|0)==3?i:i+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[(c[f>>2]|0)+170>>1]|0)|0)>=((c[(c[(c[((h|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((h|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[(c[d+16>>2]|0)+170>>1]|0)|0)):0)break;d=i}while(0);j=j+1|0}while(1){f=c[(c[f+172>>2]|0)+(j<<2)>>2]|0;if(!f)break a;g=f+16|0;h=f+48|0;i=c[((c[f>>2]&3|0)==3?f:h)+40>>2]|0;do if((c[(c[g>>2]|0)+164>>2]|0)>-1){if((i|0)!=(b|0))d=ex(i,a,d)|0}else if((ax(i)|0)!=(l|0)){if(d|0?(i=c[f>>2]&3,m=c[d>>2]&3,((c[(c[(c[((i|0)==2?f:f+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((i|0)==3?f:h)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[(c[g>>2]|0)+170>>1]|0)|0)>=((c[(c[(c[((m|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((m|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(e[(c[d+16>>2]|0)+170>>1]|0)|0)):0)break;d=f}while(0);j=j+1|0;f=c[k>>2]|0}}while(0);return d|0}function fx(a,b){a=a|0;b=b|0;var d=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;l=a+16|0;d=c[l>>2]|0;c[d+280>>2]=b;a=1;h=0;while(1){g=c[(c[d+172>>2]|0)+(h<<2)>>2]|0;if(!g){h=0;break}f=c[g+16>>2]|0;if(((c[f+164>>2]|0)<=-1?(i=c[g>>2]&3,j=g+48|0,k=c[(c[((i|0)==3?g:j)+40>>2]|0)+16>>2]|0,(c[k+280>>2]|0)==0):0)?((c[(c[(c[((i|0)==2?g:g+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[k+232>>2]|0)|0)==(e[f+170>>1]|0|0):0){cx(g);a=(fx(c[((c[g>>2]&3|0)==3?g:j)+40>>2]|0,b)|0)+a|0;d=c[l>>2]|0}h=h+1|0}while(1){f=c[(c[d+180>>2]|0)+(h<<2)>>2]|0;if(!f)break;g=c[f+16>>2]|0;if(((c[g+164>>2]|0)<=-1?(m=c[f>>2]&3,n=f+-48|0,o=c[(c[((m|0)==2?f:n)+40>>2]|0)+16>>2]|0,(c[o+280>>2]|0)==0):0)?((c[o+232>>2]|0)-(c[(c[(c[((m|0)==3?f:f+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)|0)==(e[g+170>>1]|0|0):0){cx(f);a=(fx(c[((c[f>>2]&3|0)==2?f:n)+40>>2]|0,b)|0)+a|0;d=c[l>>2]|0}h=h+1|0}return a|0}function gx(a,b,c){a=a|0;b=b|0;c=c|0;var d=0;d=Im(a,87620)|0;if(!d)d=30;else d=rM(d)|0;return zw(a,b,c,d)|0}function hx(a){a=+a;return +((c[42183]|0)==0?a:+h[20895]-a)}function ix(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0.0,t=0.0,u=0;r=l;l=l+16|0;q=r;c[42308]=c[(c[(c[d+64>>2]|0)+8>>2]|0)+4>>2];jx(d);i=c[d+16>>2]|0;t=+h[i+32>>3];s=+h[i+40>>3];kx(e,87631,+h[b+352>>3]);kx(e,87638,t*.013888888888888888);kx(e,87638,s*.013888888888888888);lx(e);i=co(d)|0;while(1){if(!i)break;g=i+16|0;if(!(a[(c[g>>2]|0)+118>>0]|0)){mx(e,87640,Wp(Dn(i)|0)|0);p=(c[g>>2]|0)+16|0;c[q>>2]=c[p>>2];c[q+4>>2]=c[p+4>>2];c[q+8>>2]=c[p+8>>2];c[q+12>>2]=c[p+12>>2];nx(e,q);if(!(a[(c[(c[g>>2]|0)+104>>2]|0)+82>>0]|0)){b=ro(i)|0;b=ox(b,c[c[(c[g>>2]|0)+104>>2]>>2]|0)|0}else b=Wp(Jm(i,c[42198]|0)|0)|0;kx(e,87638,+h[(c[g>>2]|0)+32>>3]);kx(e,87638,+h[(c[g>>2]|0)+40>>3]);mx(e,87638,b);mx(e,87638,GA(i,c[42201]|0,95889)|0);mx(e,87638,c[c[(c[g>>2]|0)+8>>2]>>2]|0);mx(e,87638,GA(i,c[42192]|0,122106)|0);b=GA(i,c[42193]|0,174181)|0;if(!(a[b>>0]|0))b=GA(i,c[42192]|0,119592)|0;mx(e,87638,b);lx(e)}i=eo(d,i)|0}o=f<<24>>24==0;n=co(d)|0;while(1){if(!n)break;m=Pm(d,n)|0;while(1){if(!m)break;if(o){f=174181;j=174181}else{j=Im(m,96242)|0;f=Im(m,96251)|0;f=f|0?f:174181;j=j|0?j:174181}p=m+16|0;b=c[p>>2]|0;k=c[b+8>>2]|0;a:do if(k){i=c[k+4>>2]|0;b=0;g=0;while(1){if((b|0)>=(i|0))break;u=(c[(c[k>>2]|0)+(b*48|0)+4>>2]|0)+g|0;b=b+1|0;g=u}mx(e,0,96237);px(e,c[((c[m>>2]&3|0)==3?m:m+48|0)+40>>2]|0,j);px(e,c[((c[m>>2]&3|0)==2?m:m+-48|0)+40>>2]|0,f);qx(e,g);f=0;while(1){b=c[p>>2]|0;g=c[b+8>>2]|0;if((f|0)>=(c[g+4>>2]|0))break a;i=c[g>>2]|0;g=c[i+(f*48|0)>>2]|0;i=c[i+(f*48|0)+4>>2]|0;b=0;while(1){if((b|0)>=(i|0))break;u=g+(b<<4)|0;c[q>>2]=c[u>>2];c[q+4>>2]=c[u+4>>2];c[q+8>>2]=c[u+8>>2];c[q+12>>2]=c[u+12>>2];nx(e,q);b=b+1|0}f=f+1|0}}while(0);if(c[b+96>>2]|0){u=ro(c[((c[m>>2]&3|0)==3?m:m+48|0)+40>>2]|0)|0;mx(e,87638,ox(u,c[c[(c[p>>2]|0)+96>>2]>>2]|0)|0);u=(c[(c[p>>2]|0)+96>>2]|0)+56|0;c[q>>2]=c[u>>2];c[q+4>>2]=c[u+4>>2];c[q+8>>2]=c[u+8>>2];c[q+12>>2]=c[u+12>>2];nx(e,q)}mx(e,87638,GA(m,c[42229]|0,95889)|0);mx(e,87638,GA(m,c[42220]|0,122106)|0);lx(e);m=Rm(d,m)|0}n=eo(d,n)|0}rx(87646,e);l=r;return}function jx(a){a=a|0;var b=0.0;if(c[42183]|0){a=c[a+16>>2]|0;b=+h[a+24>>3]+ +h[a+40>>3];h[20895]=b;h[20896]=b*.013888888888888888}return}function kx(a,b,c){a=a|0;b=b|0;c=+c;var d=0,e=0,f=0;f=l;l=l+1040|0;e=f;d=f+8|0;if(b|0)rx(b,a);h[e>>3]=c;pL(d,87652,e)|0;rx(d,a);l=f;return}function lx(b){b=b|0;a[174077]=10;ab[c[42308]&63](b,174077)|0;return}function mx(a,b,c){a=a|0;b=b|0;c=c|0;if(b|0)rx(b,a);rx(c,a);return}function nx(a,b){a=a|0;b=b|0;var d=0.0;kx(a,87638,+h[b>>3]*.013888888888888888);if(!(c[42183]|0))d=+h[b+8>>3];else d=+h[20895]-+h[b+8>>3];kx(a,87638,d*.013888888888888888);return}function ox(a,b){a=a|0;b=b|0;var c=0;c=$o(a,b)|0;b=Wp(c)|0;bp(a,c)|0;return b|0}function px(b,d,e){b=b|0;d=d|0;e=e|0;var f=0;if(!(a[(c[d+16>>2]|0)+118>>0]|0))d=Wp(Dn(d)|0)|0;else{f=ro(d)|0;d=ox(f,(WJ(Dn(d)|0,58)|0)+1|0)|0}mx(b,87638,d);if(e|0?a[e>>0]|0:0)mx(b,93017,Wp(e)|0);return}function qx(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=l;l=l+1040|0;f=d;e=d+8|0;rx(87638,a);c[f>>2]=b;pL(e,122187,f)|0;rx(e,a);l=d;return}function rx(a,b){a=a|0;b=b|0;ab[c[42308]&63](b,a)|0;return}\nfunction EB(a,b){a=a|0;b=b|0;if((+h[a+16>>3]>=+h[b>>3]?+h[b+16>>3]>=+h[a>>3]:0)?+h[a+24>>3]>=+h[b+8>>3]:0)a=+h[b+24>>3]>=+h[a+8>>3]&1;else a=0;return a|0}function FB(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+96|0;k=n+64|0;j=n+48|0;i=n+32|0;f=n+16|0;g=n;m=a+4|0;d=c[m>>2]|0;if(!d)ma(94759,92694,1637,94767);e=c[a>>2]|0;c[g>>2]=c[e>>2];c[g+4>>2]=c[e+4>>2];c[g+8>>2]=c[e+8>>2];c[g+12>>2]=c[e+12>>2];e=1;while(1){if((e|0)>=(d|0)){h=7;break}d=(c[a>>2]|0)+(e<<4)|0;c[f>>2]=c[d>>2];c[f+4>>2]=c[d+4>>2];c[f+8>>2]=c[d+8>>2];c[f+12>>2]=c[d+12>>2];c[i>>2]=c[d>>2];c[i+4>>2]=c[d+4>>2];c[i+8>>2]=c[d+8>>2];c[i+12>>2]=c[d+12>>2];c[j>>2]=c[g>>2];c[j+4>>2]=c[g+4>>2];c[j+8>>2]=c[g+8>>2];c[j+12>>2]=c[g+12>>2];c[k>>2]=c[b>>2];c[k+4>>2]=c[b+4>>2];c[k+8>>2]=c[b+8>>2];c[k+12>>2]=c[b+12>>2];c[k+16>>2]=c[b+16>>2];c[k+20>>2]=c[b+20>>2];c[k+24>>2]=c[b+24>>2];c[k+28>>2]=c[b+28>>2];if((Yv(i,j,k)|0)!=-1){d=1;break};c[g>>2]=c[f>>2];c[g+4>>2]=c[f+4>>2];c[g+8>>2]=c[f+8>>2];c[g+12>>2]=c[f+12>>2];e=e+1|0;d=c[m>>2]|0}do if((h|0)==7){d=c[a+8>>2]|0;if(d|0?(g=a+16|0,h=c[a>>2]|0,c[i>>2]=c[g>>2],c[i+4>>2]=c[g+4>>2],c[i+8>>2]=c[g+8>>2],c[i+12>>2]=c[g+12>>2],c[j>>2]=c[h>>2],c[j+4>>2]=c[h+4>>2],c[j+8>>2]=c[h+8>>2],c[j+12>>2]=c[h+12>>2],c[k>>2]=c[b>>2],c[k+4>>2]=c[b+4>>2],c[k+8>>2]=c[b+8>>2],c[k+12>>2]=c[b+12>>2],c[k+16>>2]=c[b+16>>2],c[k+20>>2]=c[b+20>>2],c[k+24>>2]=c[b+24>>2],c[k+28>>2]=c[b+28>>2],(GB(i,j,d,k)|0)<<24>>24):0){d=1;break}d=c[a+12>>2]|0;if(d|0?(h=a+32|0,m=(c[a>>2]|0)+((c[m>>2]|0)+-1<<4)|0,c[i>>2]=c[h>>2],c[i+4>>2]=c[h+4>>2],c[i+8>>2]=c[h+8>>2],c[i+12>>2]=c[h+12>>2],c[j>>2]=c[m>>2],c[j+4>>2]=c[m+4>>2],c[j+8>>2]=c[m+8>>2],c[j+12>>2]=c[m+12>>2],c[k>>2]=c[b>>2],c[k+4>>2]=c[b+4>>2],c[k+8>>2]=c[b+8>>2],c[k+12>>2]=c[b+12>>2],c[k+16>>2]=c[b+16>>2],c[k+20>>2]=c[b+20>>2],c[k+24>>2]=c[b+24>>2],c[k+28>>2]=c[b+28>>2],(GB(i,j,d,k)|0)<<24>>24):0){d=1;break}d=0}while(0);l=n;return d|0}function GB(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0.0;m=l;l=l+160|0;g=m+144|0;f=m+128|0;n=m+96|0;i=m+64|0;j=m+32|0;k=m;o=+h[e+16>>3];c[f>>2]=c[a>>2];c[f+4>>2]=c[a+4>>2];c[f+8>>2]=c[a+8>>2];c[f+12>>2]=c[a+12>>2];c[g>>2]=c[b>>2];c[g+4>>2]=c[b+4>>2];c[g+8>>2]=c[b+8>>2];c[g+12>>2]=c[b+12>>2];Rt(n,f,g,1.0,d);if(((o>=+h[n>>3]?(c[f>>2]=c[a>>2],c[f+4>>2]=c[a+4>>2],c[f+8>>2]=c[a+8>>2],c[f+12>>2]=c[a+12>>2],c[g>>2]=c[b>>2],c[g+4>>2]=c[b+4>>2],c[g+8>>2]=c[b+8>>2],c[g+12>>2]=c[b+12>>2],Rt(i,f,g,1.0,d),+h[i+16>>3]>=+h[e>>3]):0)?(o=+h[e+24>>3],c[f>>2]=c[a>>2],c[f+4>>2]=c[a+4>>2],c[f+8>>2]=c[a+8>>2],c[f+12>>2]=c[a+12>>2],c[g>>2]=c[b>>2],c[g+4>>2]=c[b+4>>2],c[g+8>>2]=c[b+8>>2],c[g+12>>2]=c[b+12>>2],Rt(j,f,g,1.0,d),o>=+h[j+8>>3]):0)?(c[f>>2]=c[a>>2],c[f+4>>2]=c[a+4>>2],c[f+8>>2]=c[a+8>>2],c[f+12>>2]=c[a+12>>2],c[g>>2]=c[b>>2],c[g+4>>2]=c[b+4>>2],c[g+8>>2]=c[b+8>>2],c[g+12>>2]=c[b+12>>2],Rt(k,f,g,1.0,d),+h[k+24>>3]>=+h[e+8>>3]):0)f=1;else f=0;l=m;return f|0}function HB(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;g=l;l=l+16|0;f=g;a:do if((b|0)!=0?(e=a[b>>0]|0,e<<24>>24!=0):0){do switch(e<<24>>24|0){case 48:{d=2;break a}case 57:case 56:case 55:case 54:case 53:case 52:case 51:case 50:case 49:{d=10;break a}case 67:case 99:{e=b+1|0;if(!(iK(e,94782)|0)){d=4;break a}if(!(iK(e,94788)|0)){d=12;break a}break}case 70:case 102:{if(!(iK(b+1|0,94796)|0)){d=2;break a}break}case 76:case 108:{if(!(iK(b+1|0,94801)|0)){d=2;break a}break}case 78:case 110:{e=b+1|0;if(!(iK(e,94805)|0)){d=0;break a}if(!(iK(e,94809)|0)){d=2;break a}break}case 79:case 111:{if(!(iK(b+1|0,94811)|0)){d=8;break a}break}case 80:case 112:{if(!(iK(b+1|0,94816)|0)){d=6;break a}break}case 83:case 115:{if(!(iK(b+1|0,94824)|0)){d=10;break a}break}case 84:case 116:{if(!(iK(b+1|0,94830)|0)){d=10;break a}break}case 89:case 121:{if(!(iK(b+1|0,94834)|0)){d=10;break a}break}default:{}}while(0);c[f>>2]=b;_l(0,94837,f)|0}while(0);l=g;return d|0}function IB(d,f){d=d|0;f=f|0;var g=0;g=Im(d,94878)|0;if(g)if(!(a[g>>0]|0))f=0;else f=HB(g,f)|0;d=(c[d+16>>2]|0)+136|0;b[d>>1]=f|e[d>>1];return}function JB(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=+d;e=e|0;var f=0.0,g=0.0,i=0.0,j=0.0,k=0.0,m=0,n=0,o=0.0,p=0,q=0.0,r=0,s=0.0,t=0,u=0,v=0,w=0;v=l;l=l+32|0;p=v+16|0;r=v;t=e&1;u=e&2;a:do if((c|0)==2){s=+h[a+16>>3];f=+h[a>>3];j=+h[a+24>>3];i=+h[a+8>>3];f=f-(s-f);h[p>>3]=f;h[r>>3]=s;i=i-(j-i);h[p+8>>3]=i;h[r+8>>3]=j}else{g=+h[a>>3];h[r>>3]=g;h[p>>3]=g;j=+h[a+8>>3];m=r+8|0;h[m>>3]=j;n=p+8|0;h[n>>3]=j;e=0;f=g;i=j;while(1){if((e|0)>=(c|0)){s=g;break a}w=a+(e<<4)|0;q=+h[w>>3];k=+h[(q<f?w:p)>>3];h[p>>3]=k;s=+h[a+(e<<4)+8>>3];o=+h[(s<i?w:p)+8>>3];h[n>>3]=o;q=+h[(q>g?w:r)>>3];h[r>>3]=q;s=+h[(s>j?w:r)+8>>3];h[m>>3]=s;e=e+1|0;f=k;i=o;g=q;j=s}}while(0);g=(s-f)*.5;q=g+f;o=(j-i)*.5;k=o+i;if(!t){f=j-k;j=d;i=+F(+j);j=+E(+j);if(!u){g=i*f-k;f=-k-o*i}else{f=i*f;g=k-f;f=f+k}h[b+8>>3]=g;h[b+24>>3]=f;d=j*(s-q);h[b>>3]=q-d;h[b+16>>3]=d+q}else{d=+C(+(o*o+g*g));h[b+8>>3]=u|0?k:-k;h[b>>3]=q;h[b+16>>3]=d*.25;h[b+24>>3]=d}l=v;return}function KB(a,b){a=a|0;b=b|0;var d=0.0,e=0,f=0;e=a+16|0;f=c[e>>2]|0;if(!(b<<24>>24)){d=+h[f+32>>3]*36.0;h[f+88>>3]=d;a=f+40|0}else{d=+h[f+40>>3]*36.0;h[f+88>>3]=d;a=f+32|0}h[f+96>>3]=d;h[(c[e>>2]|0)+80>>3]=+h[a>>3]*72.0;return}function LB(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,A=0;y=l;l=l+16|0;j=y+8|0;x=4;w=ZI(40)|0;c[w>>2]=0;s=y;o=0;e=_(22,b|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,w|0,x|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;a:do if((g|0)!=1){o=0;v=_(23,e<<3|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){e=SN(c[f>>2]|0,w|0,x|0)|0;if(!e)Ua(f|0,p|0);z=p}else e=-1;if((e|0)!=1){if(!(a[174076]|0))t=0;else{o=0;e=Z(2)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,w|0,x|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){n=0;k=0;m=0;j=0;i=0;d=v;h=v;e=z;g=0;u=74;break}t=e}o=0;e=$(31,b|0,94886)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,w|0,x|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)!=1){c[42366]=0;b:do if(e|0?(i=a[e>>0]|0,i<<24>>24):0){h=e;f=i;g=0;while(1){i=h+1|0;if(!(f<<24>>24))break b;switch(f<<24>>24|0){case 99:{e=8;u=16;break}case 105:{e=18;u=16;break}case 109:{e=1;u=16;break}case 114:{e=4;u=16;break}case 115:{e=2;u=16;break}default:e=g}if((u|0)==16){u=0;e=g|e;c[42366]=e}h=i;f=a[i>>0]|0;g=e}}while(0);if(d|0){o=0;aa(11,0,94890,j|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){n=0;k=t;m=0;j=0;i=0;d=v;h=v;e=z;g=0;u=74;break}}o=0;r=$(32,b|0,0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)!=1){m=c[r+16>>2]|0;if(c[42366]&2|0){o=0;ga(25,c[13918]|0,m|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){n=0;k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break}}o=0;g=_(24,b|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)!=1){n=0;while(1){if(!g)break;o=0;e=$(33,b|0,g|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){h=SN(c[f>>2]|0,w|0,x|0)|0;if(!h)Ua(f|0,p|0);z=p}else h=-1;if((h|0)==1){k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break a}i=n;while(1){if(!e)break;if(!(0==2?(c[(c[e+16>>2]|0)+8>>2]|0)!=0:0))u=32;c:do if((u|0)==32){u=0;do if(a[174076]|0){k=c[e>>2]&3;j=(c[c[((k|0)==3?e:e+48|0)+40>>2]>>2]|0)>>>4;k=(c[c[((k|0)==2?e:e+-48|0)+40>>2]>>2]|0)>>>4;if(j>>>0>k>>>0){o=0;f=aa(15,t|0,k|0,j|0)|0;h=o;o=0;if((h|0)!=0&(p|0)!=0){d=SN(c[h>>2]|0,w|0,x|0)|0;if(!d)Ua(h|0,p|0);z=p}else d=-1;if((d|0)==1){k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break a}if(f|0)break c;o=0;ha(59,t|0,k|0,j|0);f=o;o=0;if((f|0)!=0&(p|0)!=0){h=SN(c[f>>2]|0,w|0,x|0)|0;if(!h)Ua(f|0,p|0);z=p}else h=-1;if((h|0)==1){k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break a}break}else{o=0;f=aa(15,t|0,j|0,k|0)|0;h=o;o=0;if((h|0)!=0&(p|0)!=0){d=SN(c[h>>2]|0,w|0,x|0)|0;if(!d)Ua(h|0,p|0);z=p}else d=-1;if((d|0)==1){k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break a}if(f|0)break c;o=0;ha(59,t|0,j|0,k|0);f=o;o=0;if((f|0)!=0&(p|0)!=0){h=SN(c[f>>2]|0,w|0,x|0)|0;if(!h)Ua(f|0,p|0);z=p}else h=-1;if((h|0)==1){k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break a}break}}while(0);c[v+(i<<3)+4>>2]=e;o=0;h=_(25,e|0)|0;d=o;o=0;if((d|0)!=0&(p|0)!=0){f=SN(c[d>>2]|0,w|0,x|0)|0;if(!f)Ua(d|0,p|0);z=p}else f=-1;if((f|0)==1){k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break a}c[v+(i<<3)>>2]=h;i=i+1|0}while(0);o=0;e=$(34,b|0,e|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){h=SN(c[f>>2]|0,w|0,x|0)|0;if(!h)Ua(f|0,p|0);z=p}else h=-1;if((h|0)==1){k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break a}}o=0;g=$(35,b|0,g|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74;break a}n=i}o=0;j=_(26,n<<3|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)!=1){o=0;ja(25,v|0,n|0,8,36);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)!=1){g=c[m>>2]|0;o=0;fa(87,g+2|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)!=1){i=c[m+16>>2]|0;d=i+(g*40|0)|0;i=i+((g+1|0)*40|0)|0;q=c[13918]|0;h=0;while(1){if((h|0)>=(n|0))break;if((h|0)>0?c[42366]&16|0:0){o=0;ga(25,q|0,m|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74;break a}}e=c[v+(h<<3)+4>>2]|0;k=c[e>>2]&3;g=c[(c[(c[((k|0)==3?e:e+48|0)+40>>2]|0)+16>>2]|0)+112>>2]|0;e=c[(c[(c[((k|0)==2?e:e+-48|0)+40>>2]|0)+16>>2]|0)+112>>2]|0;if((g|0)==(e|0)){o=0;ja(26,m|0,g|0,i|0,d|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74;break a}}else{o=0;ha(60,m|0,e|0,i|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74;break a}o=0;ha(60,m|0,g|0,d|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74;break a}}o=0;e=aa(16,m|0,i|0,d|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,w|0,x|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74;break a}if(e|0){k=t;m=j;i=r;d=v;h=v;break a}e=j+(h<<3)|0;o=0;ja(27,s|0,m|0,d|0,i|0);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,w|0,x|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74;break a}g=s;k=c[g+4>>2]|0;c[e>>2]=c[g>>2];c[e+4>>2]=k;o=0;fa(88,m|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74;break a}h=h+1|0}o=0;ea(8);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)!=1){o=0;e=_(27,r|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,w|0,x|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)!=1){c[r+20>>2]=e;o=0;e=_(28,r|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,w|0,x|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)!=1){c[r+24>>2]=e;o=0;ha(61,n|0,j|0,r|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)!=1){w=RN(169468,1,w|0,x|0)|0;x=z;o=0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)!=1){k=t;m=j;i=r;d=v;h=v;e=0;g=q;u=74}else{k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74}}else{k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74}}else{k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74}}else{k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74}}else{k=t;m=j;i=r;d=v;h=v;e=z;g=q;u=74}}else{k=t;m=j;i=r;d=v;h=v;e=z;g=0;u=74}}else{k=t;m=j;i=r;d=v;h=v;e=z;g=0;u=74}}else{k=t;m=0;i=r;d=v;h=v;e=z;g=0;u=74}}else{n=0;k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74}}else{n=0;k=t;m=0;j=0;i=r;d=v;h=v;e=z;g=0;u=74}}else{n=0;k=t;m=0;j=0;i=0;d=v;h=v;e=z;g=0;u=74}}else{n=0;k=0;m=0;j=0;i=0;d=0;h=v;e=z;g=0;u=74}}else{n=0;k=0;m=0;j=0;i=0;d=0;h=0;e=z;g=0;u=74}while(0);d:while(1){if((u|0)==74){u=0;if(e|0){q=g;continue}o=0;fa(89,i|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){A=g;f=h;q=d;r=i;s=j;t=m;v=k;u=n;e=z;g=A;h=f;d=q;i=r;j=s;m=t;k=v;n=u;u=74;continue}if(c[42366]&4|0){o=0;ka(7,g|0,i|0,n|0,m|0,d|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){f=g;q=h;r=d;s=i;t=j;v=m;A=k;u=n;e=z;g=f;h=q;d=r;i=s;j=t;m=v;k=A;n=u;u=74;continue}}o=0;la(10,b|0,i|0,n|0,m|0,d|0,0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){f=g;q=h;r=d;s=i;t=j;v=m;A=k;u=n;e=z;g=f;h=q;d=r;i=s;j=t;m=v;k=A;n=u;u=74;continue}q=g}if(!(a[174076]|0))e=0;else{o=0;fa(90,k|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;g=q;u=74;continue}e=0}while(1){if((e|0)>=(n|0))break;o=0;fa(91,c[m+(e<<3)+4>>2]|0);f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,w|0,x|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;g=q;u=74;continue d}e=e+1|0}o=0;fa(91,j|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;g=q;u=74;continue}o=0;fa(92,i|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;g=q;u=74;continue}o=0;fa(91,h|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,w|0,x|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;g=q;u=74}else break}_I(w|0);l=y;return}function MB(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0;q=l;l=l+64|0;p=q+32|0;o=q+16|0;j=q;k=q+48|0;WL(95757,a)|0;WL(95768,a)|0;m=b+16|0;n=j+8|0;i=k+4|0;g=0;while(1){if((g|0)>=(c[b>>2]|0))break;d=c[m>>2]|0;e=c[d+(g*40|0)+20>>2]|0;f=c[d+(g*40|0)+24>>2]|0;if((e|0)==(f|0)){FC(j,e);d=~~+h[j>>3];e=~~+h[n>>3]}else{HC(k,(c[e>>2]&1|0)==0?e:f,d+(g*40|0)|0);d=c[k>>2]|0;e=c[i>>2]|0}c[o>>2]=g;c[o+4>>2]=d;c[o+8>>2]=e;zL(a,95788,o)|0;g=g+1|0}f=b+4|0;e=b+20|0;d=0;while(1){if((d|0)>=(c[f>>2]|0))break;o=c[e>>2]|0;b=c[o+(d*24|0)+16>>2]|0;r=+h[o+(d*24|0)>>3];c[p>>2]=c[o+(d*24|0)+12>>2];c[p+4>>2]=b;h[p+8>>3]=r;zL(a,95808,p)|0;d=d+1|0}WL(95830,a)|0;l=q;return}function NB(a){a=a|0;var b=0.0,d=0.0,e=0,f=0;f=c[a>>2]&3;e=c[(c[((f|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0;a=c[(c[((f|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0;b=+h[e+16>>3]-+h[a+16>>3];d=+h[e+24>>3]-+h[a+24>>3];return ~~(d*d+b*b)|0}function OB(a,b){a=a|0;b=b|0;return (c[a>>2]|0)-(c[b>>2]|0)|0}function PB(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+32|0;j=n;FC(n+16|0,d);k=d+32|0;m=d+36|0;g=0;while(1){if((g|0)>=(c[k>>2]|0))break;h=c[(c[m>>2]|0)+(g<<2)>>2]|0;do if(!(a[h+36>>0]|0)){i=c[h+20>>2]|0;if((i|0)==(d|0)){DC(j,h,c[h+24>>2]|0);YC(b,f,h,0.0)|0;break}else{DC(j,h,i);YC(b,e,h,0.0)|0;break}}while(0);g=g+1|0}c[b>>2]=(c[b>>2]|0)+2;l=n;return}function QB(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+32|0;h=k;FC(k+16|0,b);i=b+32|0;j=b+36|0;f=0;while(1){if((f|0)>=(c[i>>2]|0))break;g=c[(c[j>>2]|0)+(f<<2)>>2]|0;e=c[g+20>>2]|0;if((e|0)==(b|0))e=c[g+24>>2]|0;DC(h,g,e);YC(a,d,g,0.0)|0;f=f+1|0}c[a>>2]=(c[a>>2]|0)+1;c[d+24>>2]=b;c[d+20>>2]=b;l=k;return}function RB(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0.0,m=0.0,n=0,o=0.0,p=0.0,q=0,r=0,s=0,t=0,u=0,v=0,w=0.0,x=0.0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0;H=l;l=l+128|0;C=H+64|0;n=H+48|0;D=H+32|0;E=H+16|0;F=H;g=0;i=e;while(1){if(!i)break;g=g+1|0;i=c[i+8>>2]|0}B=vw((g*56|0)+-112|0)|0;c[C+52>>2]=0;c[C+48>>2]=0;A=e+8|0;e=c[A>>2]|0;i=c[e+8>>2]|0;g=c[e+20>>2]|0;if(c[g>>2]&1)g=c[e+24>>2]|0;DC(n,e,g);j=e;q=e;p=0.0;o=+h[n>>3];z=0;m=0.0;x=+h[n+8>>3];while(1){y=i+8|0;if(!(c[y>>2]|0))break;v=EC(j,i)|0;uG(d,v,c[q+12>>2]|0);t=q+36|0;u=i+36|0;if((a[t>>0]|0)==(a[u>>0]|0))if((c[y>>2]|0)==(f|0)){DC(E,i,v);e=E;G=12}else{j=q;e=z;k=x}else{FC(D,v);e=D;G=12}if((G|0)==12){G=0;w=+h[e>>3];k=+h[e+8>>3];e=a[t>>0]|0;s=e<<24>>24==0;r=(q|0)==(c[A>>2]|0);if(s){if(!(a[u>>0]|0))e=0;else e=(c[i+20>>2]|0)==(v|0)?4:2;n=v+48|0;q=g+48|0;j=g+40|0;g=r?0:p>o?4:2}else{if(e<<24>>24==(a[u>>0]|0))e=0;else e=(c[i+20>>2]|0)==(v|0)?1:3;n=v+40|0;q=g+40|0;j=g+48|0;g=r?0:m>x?1:3}GC(C,s&1,+h[j>>3],+h[q>>3],+h[n>>3],g,e);q=z+1|0;g=B+(z*56|0)|0;e=C;j=g+56|0;do{c[g>>2]=c[e>>2];g=g+4|0;e=e+4|0}while((g|0)<(j|0));if((a[t>>0]|0)!=(a[u>>0]|0)?(c[y>>2]|0)==(f|0):0){DC(F,i,v);n=(a[u>>0]|0)==0;e=v+40|0;g=v+48|0;p=+h[(n?g:e)>>3];GC(C,n&1,+h[(n?e:g)>>3],p,p,n?(o>w?4:2):x>k?1:3,0);n=z+2|0;g=B+(q*56|0)|0;e=C;j=g+56|0;do{c[g>>2]=c[e>>2];g=g+4|0;e=e+4|0}while((g|0)<(j|0));g=v;j=i;p=o;o=w;e=n;m=x}else{g=v;j=i;p=o;o=w;e=q;m=x}}v=i;i=c[y>>2]|0;q=j;z=e;x=k;j=v}i=aJ(B,z*56|0)|0;e=z+-1|0;g=0;while(1){if((g|0)>=(z|0))break;if((g|0)>0)c[i+(g*56|0)+48>>2]=i+((g+-1|0)*56|0);if((g|0)<(e|0)){G=g+1|0;c[i+(g*56|0)+52>>2]=i+(G*56|0);g=G;continue}else{g=g+1|0;continue}}c[b>>2]=z;c[b+4>>2]=i;l=H;return}function SB(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0,j=0,k=0;j=Ql(24676,c[4345]|0)|0;k=a+8|0;i=0;while(1){if((i|0)>=(c[a>>2]|0))break;b=(c[k>>2]|0)+(i*72|0)|0;if(!(c[b>>2]&4)){while(1){d=c[(c[b+36>>2]|0)+8>>2]|0;if(!d)break;d=c[d+20>>2]|0;if(!d)break;if(!(c[d>>2]&1))b=d;else break}g=vw(40)|0;c[g+36>>2]=b;h[g+8>>3]=+h[b+40>>3];f=b;d=c[b>>2]|0;while(1){c[f>>2]=d|4;d=c[c[f+36>>2]>>2]|0;if(!d)break;e=c[d+24>>2]|0;if(!e)break;d=c[e>>2]|0;if(d&1|0)break;else f=e}h[g+16>>3]=+h[f+56>>3];yC(j,g,+h[b+48>>3])}i=i+1|0}return j|0}function TB(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0,j=0,k=0;j=Ql(24676,c[4345]|0)|0;k=a+8|0;i=0;while(1){if((i|0)>=(c[a>>2]|0))break;b=(c[k>>2]|0)+(i*72|0)|0;if(!(c[b>>2]&2)){while(1){d=c[(c[b+36>>2]|0)+12>>2]|0;if(!d)break;d=c[d+20>>2]|0;if(!d)break;if(!(c[d>>2]&1))b=d;else break}g=vw(40)|0;c[g+36>>2]=b;h[g+8>>3]=+h[b+48>>3];f=b;d=c[b>>2]|0;while(1){c[f>>2]=d|2;d=c[(c[f+36>>2]|0)+4>>2]|0;if(!d)break;e=c[d+24>>2]|0;if(!e)break;d=c[e>>2]|0;if(d&1|0)break;else f=e}h[g+16>>3]=+h[f+64>>3];yC(j,g,+h[b+40>>3])}i=i+1|0}return j|0}function UB(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;j=e+20|0;i=e+24|0;e=0;while(1){if((e|0)>=(b|0))break;g=c[d+(e<<3)>>2]|0;h=c[d+(e<<3)+4>>2]|0;f=0;while(1){if((f|0)>=(g|0))break;k=h+(f*56|0)|0;xC(bC(c[((a[k>>0]|0)==0?j:i)>>2]|0,k)|0,k);f=f+1|0}e=e+1|0}return}function VB(a){a=a|0;var b=0,d=0;d=a+20|0;dC(c[d>>2]|0);b=a+24|0;dC(c[b>>2]|0);eC(c[d>>2]|0);eC(c[b>>2]|0);fC(c[d>>2]|0,a);fC(c[b>>2]|0,a);gC(c[d>>2]|0);gC(c[b>>2]|0);return}function WB(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0.0,B=0.0,C=0.0,D=0,E=0.0;z=l;l=l+224|0;n=z+176|0;m=z+208|0;x=z+160|0;y=z+128|0;k=z+96|0;t=z+64|0;u=z;o=z+32|0;v=u+8|0;h[v>>3]=1797693134862315708145274.0e284;h[u>>3]=1797693134862315708145274.0e284;w=u+24|0;h[w>>3]=-1797693134862315708145274.0e284;p=u+16|0;h[p>>3]=-1797693134862315708145274.0e284;WL(95005,a)|0;c[n>>2]=10;c[n+4>>2]=10;zL(a,95411,n)|0;WL(123076,a)|0;i=b+4|0;j=b+12|0;q=t+8|0;r=t+16|0;s=t+24|0;g=0;while(1){if((g|0)>=(c[i>>2]|0))break;D=(c[j>>2]|0)+(g*72|0)+40|0;c[t>>2]=c[D>>2];c[t+4>>2]=c[D+4>>2];c[t+8>>2]=c[D+8>>2];c[t+12>>2]=c[D+12>>2];c[t+16>>2]=c[D+16>>2];c[t+20>>2]=c[D+20>>2];c[t+24>>2]=c[D+24>>2];c[t+28>>2]=c[D+28>>2];C=+h[q>>3];B=+h[r>>3];A=+h[s>>3];h[k>>3]=+h[t>>3];h[k+8>>3]=C;h[k+16>>3]=B;h[k+24>>3]=A;zL(a,123095,k)|0;g=g+1|0}g=0;while(1){if((g|0)>=(d|0))break;D=c[f+(g<<3)+4>>2]|0;k=e+(g<<3)|0;c[m>>2]=c[k>>2];c[m+4>>2]=c[k+4>>2];c[n>>2]=c[u>>2];c[n+4>>2]=c[u+4>>2];c[n+8>>2]=c[u+8>>2];c[n+12>>2]=c[u+12>>2];c[n+16>>2]=c[u+16>>2];c[n+20>>2]=c[u+20>>2];c[n+24>>2]=c[u+24>>2];c[n+28>>2]=c[u+28>>2];cC(o,a,D,m,b,n);c[u>>2]=c[o>>2];c[u+4>>2]=c[o+4>>2];c[u+8>>2]=c[o+8>>2];c[u+12>>2]=c[o+12>>2];c[u+16>>2]=c[o+16>>2];c[u+20>>2]=c[o+20>>2];c[u+24>>2]=c[o+24>>2];c[u+28>>2]=c[o+28>>2];g=g+1|0}WL(95428,a)|0;i=b+8|0;g=0;while(1){if((g|0)>=(c[b>>2]|0))break;D=(c[i>>2]|0)+(g*72|0)+40|0;c[t>>2]=c[D>>2];c[t+4>>2]=c[D+4>>2];c[t+8>>2]=c[D+8>>2];c[t+12>>2]=c[D+12>>2];c[t+16>>2]=c[D+16>>2];c[t+20>>2]=c[D+20>>2];c[t+24>>2]=c[D+24>>2];c[t+28>>2]=c[D+28>>2];E=+h[t>>3];A=+h[q>>3];B=+h[r>>3];C=+h[s>>3];h[y>>3]=E;h[y+8>>3]=A;h[y+16>>3]=B;h[y+24>>3]=C;zL(a,123132,y)|0;h[u>>3]=+h[(+h[u>>3]<E?u:t)>>3];h[v>>3]=+h[(+h[v>>3]<A?u:t)+8>>3];h[p>>3]=+h[(+h[p>>3]>B?u:t)+16>>3];h[w>>3]=+h[(+h[w>>3]>C?u:t)+24>>3];g=g+1|0}v=~~(+h[v>>3]+10.0);y=~~(+h[p>>3]+10.0);D=~~(+h[w>>3]+10.0);c[x>>2]=~~(+h[u>>3]+10.0);c[x+4>>2]=v;c[x+8>>2]=y;c[x+12>>2]=D;zL(a,95453,x)|0;l=z;return}function XB(b,d,e,f,g,i){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0.0,k=0.0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0;N=l;l=l+112|0;F=N+88|0;E=N+72|0;M=N+32|0;I=N+16|0;J=N;K=N+56|0;L=N+40|0;G=c[13918]|0;w=(i|0)==0;x=J+8|0;y=I+8|0;v=0;m=0;n=0;o=0;p=0;i=0;while(1){if((v|0)>=(e|0))break;z=c[g+(v<<3)+4>>2]|0;A=z+48|0;u=(c[(c[((c[z>>2]&3|0)==3?z:A)+40>>2]|0)+16>>2]|0)+16|0;B=z+16|0;C=(c[B>>2]|0)+16|0;c[E>>2]=c[u>>2];c[E+4>>2]=c[u+4>>2];c[E+8>>2]=c[u+8>>2];c[E+12>>2]=c[u+12>>2];c[F>>2]=c[C>>2];c[F+4>>2]=c[C+4>>2];c[F+8>>2]=c[C+8>>2];c[F+12>>2]=c[C+12>>2];YB(K,E,F);c[I>>2]=c[K>>2];c[I+4>>2]=c[K+4>>2];c[I+8>>2]=c[K+8>>2];c[I+12>>2]=c[K+12>>2];C=z+-48|0;u=(c[(c[((c[z>>2]&3|0)==2?z:C)+40>>2]|0)+16>>2]|0)+16|0;t=(c[B>>2]|0)+56|0;c[E>>2]=c[u>>2];c[E+4>>2]=c[u+4>>2];c[E+8>>2]=c[u+8>>2];c[E+12>>2]=c[u+12>>2];c[F>>2]=c[t>>2];c[F+4>>2]=c[t+4>>2];c[F+8>>2]=c[t+8>>2];c[F+12>>2]=c[t+12>>2];YB(L,E,F);c[J>>2]=c[L>>2];c[J+4>>2]=c[L+4>>2];c[J+8>>2]=c[L+8>>2];c[J+12>>2]=c[L+12>>2];t=c[f+(v<<3)>>2]|0;u=c[f+(v<<3)+4>>2]|0;s=t*3|0;D=s+1|0;if((s|0)>=(n|0)){if(m|0)_I(i);p=ww(D<<4)|0;m=p;n=D;o=p;i=p}if(!(a[u>>0]|0)){k=+(_B(u,d)|0);j=+h[I>>3]}else{j=+ZB(u,d);k=+h[y>>3]}r=m+16|0;h[m+16>>3]=j;h[m+24>>3]=k;c[p>>2]=c[r>>2];c[p+4>>2]=c[r+4>>2];c[p+8>>2]=c[r+8>>2];c[p+12>>2]=c[r+12>>2];r=1;q=u;s=2;while(1){if((r|0)>=(t|0))break;q=u+(r*56|0)|0;if(!(a[q>>0]|0))k=+(_B(q,d)|0);else j=+ZB(q,d);O=m+(s+2<<4)|0;Q=m+(s+1<<4)|0;P=m+(s<<4)|0;h[P>>3]=j;h[m+(s<<4)+8>>3]=k;c[Q>>2]=c[P>>2];c[Q+4>>2]=c[P+4>>2];c[Q+8>>2]=c[P+8>>2];c[Q+12>>2]=c[P+12>>2];c[O>>2]=c[P>>2];c[O+4>>2]=c[P+4>>2];c[O+8>>2]=c[P+8>>2];c[O+12>>2]=c[P+12>>2];r=r+1|0;s=s+3|0}if(!(a[q>>0]|0)){k=+(_B(q,d)|0);j=+h[J>>3]}else{j=+ZB(q,d);k=+h[x>>3]}Q=m+(s<<4)|0;O=s+1|0;P=m+(O<<4)|0;h[P>>3]=j;h[m+(O<<4)+8>>3]=k;c[Q>>2]=c[P>>2];c[Q+4>>2]=c[P+4>>2];c[Q+8>>2]=c[P+8>>2];c[Q+12>>2]=c[P+12>>2];if(0>1){P=Dn(c[((c[z>>2]&3|0)==3?z:A)+40>>2]|0)|0;Q=Dn(c[((c[z>>2]&3|0)==2?z:C)+40>>2]|0)|0;c[M>>2]=P;c[M+4>>2]=Q;zL(G,94964,M)|0}Jz(z,c[((c[z>>2]&3|0)==2?z:C)+40>>2]|0,m,D,24664);if((!w?(H=c[(c[B>>2]|0)+96>>2]|0,H|0):0)?(a[H+81>>0]|0)==0:0){c[E>>2]=c[I>>2];c[E+4>>2]=c[I+4>>2];c[E+8>>2]=c[I+8>>2];c[E+12>>2]=c[I+12>>2];c[F>>2]=c[J>>2];c[F+4>>2]=c[J+4>>2];c[F+8>>2]=c[J+8>>2];c[F+12>>2]=c[J+12>>2];cA(b,z,E,F)}v=v+1|0}_I(o);l=N;return}function YB(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;h[b>>3]=+h[b>>3]+ +h[d>>3];e=b+8|0;h[e>>3]=+h[e>>3]+ +h[d+8>>3];c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];return}function ZB(a,b){a=a|0;b=b|0;var d=0.0,e=0;b=bC(c[b+24>>2]|0,a)|0;e=c[b+36>>2]|0;d=+h[e+40>>3];return +((+h[e+56>>3]-d)*(+(c[a+44>>2]|0)/+((c[b+24>>2]|0)+1|0))+d)}function _B(a,b){a=a|0;b=b|0;var d=0.0,e=0;e=bC(c[b+20>>2]|0,a)|0;b=c[e+36>>2]|0;d=+h[b+48>>3];return ~~((1.0-+(c[a+44>>2]|0)/+((c[e+24>>2]|0)+1|0))*(+h[b+64>>3]-d)+d)|0}function $B(a){a=a|0;return 0}function aC(a){a=a|0;return 0}function bC(a,b){a=a|0;b=b|0;a=bb[c[a>>2]&31](a,b+8|0,512)|0;if(!a)ma(94977,94983,423,94991);a=c[a+16>>2]|0;a=bb[c[a>>2]&31](a,b+16|0,512)|0;if(!a)ma(95002,94983,425,94991);else return a|0;return 0}function cC(b,d,e,f,g,i){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0.0,m=0,n=0,o=0,p=0.0,q=0.0,r=0.0,s=0.0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0.0,C=0.0,D=0.0;z=l;l=l+32|0;y=z+16|0;u=z+8|0;m=z;j=c[(c[(c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0)+16>>2]|0)+112>>2]|0;t=c[f+4>>2]|0;if(!(a[t>>0]|0)){k=+h[j+56>>3];s=+h[j+40>>3];j=_B(t,g)|0;k=(s+k)*.5}else{k=+h[j+64>>3];s=+h[j+48>>3];j=~~((s+k)*.5);k=+ZB(t,g)}A=~~k;p=+h[i>>3];r=+(A|0);p=p<r?p:r;h[i>>3]=p;v=i+8|0;q=+h[v>>3];s=+(j|0);q=q<s?q:s;h[v>>3]=q;w=i+16|0;k=+h[w>>3];r=k>r?k:r;h[w>>3]=r;x=i+24|0;k=+h[x>>3];s=k>s?k:s;h[x>>3]=s;c[m>>2]=A;c[m+4>>2]=j;zL(d,95504,m)|0;o=c[f>>2]|0;m=t;n=1;f=A;while(1){if((n|0)>=(o|0))break;m=t+(n*56|0)|0;if(!(a[m>>0]|0))j=_B(m,g)|0;else f=~~+ZB(m,g);B=+(f|0);D=p<B?p:B;h[i>>3]=D;k=+(j|0);C=q<k?q:k;h[v>>3]=C;B=r>B?r:B;h[w>>3]=B;k=s>k?s:k;h[x>>3]=k;c[u>>2]=f;c[u+4>>2]=j;zL(d,95526,u)|0;n=n+1|0;p=D;q=C;r=B;s=k}j=c[(c[(c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0)+16>>2]|0)+112>>2]|0;if(!(a[m>>0]|0)){k=+h[j+56>>3];D=+h[j+40>>3];j=_B(m,g)|0;k=(D+k)*.5}else{k=+h[j+64>>3];D=+h[j+48>>3];j=~~((D+k)*.5);k=+ZB(m,g)}A=~~k;C=+(A|0);h[i>>3]=p<C?p:C;D=+(j|0);h[v>>3]=q<D?q:D;h[w>>3]=r>C?r:C;h[x>>3]=s>D?s:D;c[y>>2]=A;c[y+4>>2]=j;zL(d,95540,y)|0;c[b>>2]=c[i>>2];c[b+4>>2]=c[i+4>>2];c[b+8>>2]=c[i+8>>2];c[b+12>>2]=c[i+12>>2];c[b+16>>2]=c[i+16>>2];c[b+20>>2]=c[i+20>>2];c[b+24>>2]=c[i+24>>2];c[b+28>>2]=c[i+28>>2];l=z;return}function dC(a){a=a|0;var b=0;a=Ol(a)|0;while(1){if(!a)break;b=Ol(c[a+16>>2]|0)|0;while(1){if(!b)break;c[b+32>>2]=IC(c[b+24>>2]|0)|0;b=c[b>>2]|0}a=c[a>>2]|0}return}function eC(a){a=a|0;var b=0;a=Ol(a)|0;while(1){if(!a)break;b=Ol(c[a+16>>2]|0)|0;while(1){if(!b)break;if(c[b+24>>2]|0)wC(b);b=c[b>>2]|0}a=c[a>>2]|0}return}function fC(a,b){a=a|0;b=b|0;var d=0;d=Ol(a)|0;while(1){if(!d)break;a=Ol(c[d+16>>2]|0)|0;while(1){if(!a)break;kC(a,b);a=c[a>>2]|0}d=c[d>>2]|0}return}function gC(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0;e=Ol(a)|0;while(1){if(!e)break;i=e+8|0;f=Ol(c[e+16>>2]|0)|0;while(1){if(!f)break;a=f+24|0;a:do if(c[a>>2]|0){if(c[42366]&8|0)hC(f,~~+h[i>>3]);g=f+32|0;NC(c[g>>2]|0);b=c[a>>2]|0;d=f+28|0;a=0;while(1){if((a|0)>=(b|0))break a;c[(c[(c[d>>2]|0)+(a<<2)>>2]|0)+44>>2]=(c[(c[(c[g>>2]|0)+4>>2]|0)+(a*12|0)+4>>2]|0)+1;a=a+1|0}}while(0);f=c[f>>2]|0}e=c[e>>2]|0}return}function hC(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0.0,m=0.0;j=l;l=l+32|0;d=j;g=a+24|0;a:do if((c[g>>2]|0)>=2){i=c[13918]|0;m=+h[a+8>>3];k=+h[a+16>>3];c[d>>2]=b;h[d+8>>3]=m;h[d+16>>3]=k;zL(i,95561,d)|0;f=a+32|0;a=a+28|0;b=0;while(1){if((b|0)>=(c[g>>2]|0))break a;e=c[(c[(c[f>>2]|0)+4>>2]|0)+(b*12|0)+8>>2]|0;b:do if(Sl(e)|0){iC(i,c[(c[a>>2]|0)+(b<<2)>>2]|0);WL(95581,i)|0;d=bb[c[e>>2]&31](e,0,128)|0;while(1){if(!d)break b;WL(95586,i)|0;iC(i,c[(c[a>>2]|0)+(c[d>>2]<<2)>>2]|0);WL(134901,i)|0;d=bb[c[e>>2]&31](e,d,8)|0}}while(0);b=b+1|0}}while(0);l=j;return}function iC(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0.0,k=0.0,m=0.0;g=l;l=l+80|0;f=g+40|0;e=g;if(!(a[d>>0]|0)){m=+h[d+16>>3];j=+h[d+8>>3];k=+h[d+24>>3];i=jC(c[d+32>>2]|0)|0;e=jC(c[d+36>>2]|0)|0;h[f>>3]=m;h[f+8>>3]=j;h[f+16>>3]=k;h[f+24>>3]=j;c[f+32>>2]=i;c[f+36>>2]=e;zL(b,95592,f)|0}else{k=+h[d+8>>3];j=+h[d+16>>3];m=+h[d+24>>3];f=jC(c[d+32>>2]|0)|0;i=jC(c[d+36>>2]|0)|0;h[e>>3]=k;h[e+8>>3]=j;h[e+16>>3]=k;h[e+24>>3]=m;c[e+32>>2]=f;c[e+36>>2]=i;zL(b,95592,e)|0}l=g;return}function jC(a){a=a|0;switch(a|0){case 0:{a=95643;break}case 1:{a=95638;break}case 2:{a=95631;break}case 3:{a=95624;break}case 4:{a=95616;break}default:a=0}return a|0}function kC(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0;w=l;l=l+16|0;r=w+8|0;t=w;u=c[a+32>>2]|0;v=c[a+28>>2]|0;p=a+24|0;m=r+4|0;n=t+4|0;j=0;a=c[p>>2]|0;a:while(1){q=j+1|0;if((q|0)>=(a|0))break;o=v+(j<<2)|0;k=q;while(1){if((k|0)>=(a|0)){j=q;continue a}b:do if(((MC(u,j,k)|0)==0?(MC(u,k,j)|0)==0:0)?(s=v+(k<<2)|0,lC(c[o>>2]|0,c[s>>2]|0)|0):0){f=c[o>>2]|0;a=c[f+48>>2]|0;i=c[s>>2]|0;d=c[i+48>>2]|0;e=(d|0)==0;if(a)if(e)a=1;else a=+h[a+8>>3]!=+h[d+8>>3];else a=e^1;g=a&1;mC(r,f,i,0,g);a=c[r>>2]|0;i=c[m>>2]|0;f=g^1;mC(t,c[o>>2]|0,c[s>>2]|0,1,f);d=c[t>>2]|0;e=c[n>>2]|0;switch(i|0){case -1:{nC(c[s>>2]|0,c[o>>2]|0,g,0,a,b);nC(c[s>>2]|0,c[o>>2]|0,f,1,d,b);if((e|0)!=1)break b;oC(c[o>>2]|0,c[s>>2]|0,f,b);break b}case 0:switch(e|0){case -1:{nC(c[s>>2]|0,c[o>>2]|0,g,0,a,b);nC(c[s>>2]|0,c[o>>2]|0,f,1,d,b);break b}case 0:{nC(c[o>>2]|0,c[s>>2]|0,0,g,a,b);nC(c[o>>2]|0,c[s>>2]|0,1,f,d,b);break b}case 1:{nC(c[o>>2]|0,c[s>>2]|0,0,g,a,b);nC(c[o>>2]|0,c[s>>2]|0,1,f,d,b);break b}default:break b}case 1:{nC(c[o>>2]|0,c[s>>2]|0,0,g,a,b);nC(c[o>>2]|0,c[s>>2]|0,1,f,d,b);if((e|0)!=-1)break b;oC(c[o>>2]|0,c[s>>2]|0,f,b);break b}default:break b}}while(0);k=k+1|0;a=c[p>>2]|0}}l=w;return}function lC(a,b){a=a|0;b=b|0;if(!(+h[a+8>>3]==+h[b+8>>3]))ma(95714,94983,843,95745);if((+h[a+16>>3]==+h[b+16>>3]?+h[a+24>>3]==+h[b+24>>3]:0)?(c[a+32>>2]|0)==(c[b+32>>2]|0):0)a=(c[a+36>>2]|0)==(c[b+36>>2]|0)&1;else a=0;return a|0}function mC(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0;g=0;while(1){b=pC(b,e)|0;if(!b){h=0;break}d=pC(d,f)|0;if(!d){i=6;break}if(!(lC(b,d)|0)){i=7;break}g=g+1|0}if((i|0)==6)ma(123205,94983,871,95663);else if((i|0)==7)h=rC(b,qC(b,d)|0,g+1|0,1-e|0)|0;c[a>>2]=g;c[a+4>>2]=h;return}function nC(b,d,e,f,g,i){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0,l=0,m=0,n=0,o=0,p=0;o=i+20|0;n=i+24|0;i=bC(c[((a[b>>0]|0)==0?o:n)>>2]|0,b)|0;KC(c[i+32>>2]|0,c[b+40>>2]|0,c[d+40>>2]|0);k=1;while(1){if((k|0)>(g|0))break;l=pC(b,e)|0;m=pC(d,f)|0;do if(!(a[b>>0]|0)){j=bC(c[n>>2]|0,l)|0;if(+h[l+8>>3]==+h[b+16>>3]){p=(c[b+32>>2]|0)==1;i=(MC(c[i+32>>2]|0,c[b+40>>2]|0,c[d+40>>2]|0)|0)!=0;b=c[j+32>>2]|0;if(p)if(i){KC(b,c[m+40>>2]|0,c[l+40>>2]|0);i=j;break}else{KC(b,c[l+40>>2]|0,c[m+40>>2]|0);i=j;break}else if(i){KC(b,c[l+40>>2]|0,c[m+40>>2]|0);i=j;break}else{KC(b,c[m+40>>2]|0,c[l+40>>2]|0);i=j;break}}else{p=(c[b+36>>2]|0)==1;i=(MC(c[i+32>>2]|0,c[b+40>>2]|0,c[d+40>>2]|0)|0)!=0;b=c[j+32>>2]|0;if(p)if(i){KC(b,c[l+40>>2]|0,c[m+40>>2]|0);i=j;break}else{KC(b,c[m+40>>2]|0,c[l+40>>2]|0);i=j;break}else if(i){KC(b,c[m+40>>2]|0,c[l+40>>2]|0);i=j;break}else{KC(b,c[l+40>>2]|0,c[m+40>>2]|0);i=j;break}}}else{j=bC(c[o>>2]|0,l)|0;if(+h[l+8>>3]==+h[b+16>>3]){p=(c[b+32>>2]|0)==2;i=(MC(c[i+32>>2]|0,c[b+40>>2]|0,c[d+40>>2]|0)|0)!=0;b=c[j+32>>2]|0;if(p)if(i){KC(b,c[l+40>>2]|0,c[m+40>>2]|0);i=j;break}else{KC(b,c[m+40>>2]|0,c[l+40>>2]|0);i=j;break}else if(i){KC(b,c[m+40>>2]|0,c[l+40>>2]|0);i=j;break}else{KC(b,c[l+40>>2]|0,c[m+40>>2]|0);i=j;break}}else{p=(c[b+36>>2]|0)==2;i=(MC(c[i+32>>2]|0,c[b+40>>2]|0,c[d+40>>2]|0)|0)!=0;b=c[j+32>>2]|0;if(p)if(i){KC(b,c[m+40>>2]|0,c[l+40>>2]|0);i=j;break}else{KC(b,c[l+40>>2]|0,c[m+40>>2]|0);i=j;break}else if(i){KC(b,c[l+40>>2]|0,c[m+40>>2]|0);i=j;break}else{KC(b,c[m+40>>2]|0,c[l+40>>2]|0);i=j;break}}}while(0);b=l;d=m;k=k+1|0}return}function oC(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0;while(1){if(!(lC(b,d)|0))break;g=pC(b,1)|0;d=pC(d,e)|0;b=g}g=c[(bC(c[((a[b>>0]|0)==0?f+20|0:f+24|0)>>2]|0,b)|0)+32>>2]|0;LC(g,c[b+40>>2]|0,c[d+40>>2]|0);return}function pC(a,b){a=a|0;b=b|0;if(!a)ma(95650,94983,798,95654);else return c[((b|0)==0?a+48|0:a+52|0)>>2]|0;return 0}function qC(b,c){b=b|0;c=c|0;var d=0,e=0,f=0;f=l;l=l+16|0;e=f;d=a[b>>0]|0;if(d<<24>>24==(a[c>>0]|0)?!(+h[b+8>>3]!=+h[c+8>>3]):0){if(!(d<<24>>24))b=sC(b,c,3,1)|0;else b=sC(b,c,4,2)|0;l=f;return b|0}_l(1,95676,e)|0;Ua(169468,1);return 0}function rC(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0;j=1;while(1){if((j|0)>(e|0))break;i=pC(b,f)|0;g=+h[i+8>>3]==+h[b+16>>3];do if(!(a[b>>0]|0))if(g){g=(c[b+32>>2]|0)==1;break}else{g=(c[b+36>>2]|0)==3;break}else if(g){g=(c[b+32>>2]|0)==4;break}else{g=(c[b+36>>2]|0)==2;break}while(0);b=i;j=j+1|0;d=g?0-d|0:d}return d|0}function sC(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0.0,k=0.0,l=0,m=0,n=0,o=0;j=+h[a+24>>3];k=+h[b+16>>3];do if(!(j<k)?(g=+h[a+16>>3],i=+h[b+24>>3],!(g>i)):0){if(k<j&g<k){b=tC(a,b,d,e)|0;break}if(k<g&g<i){b=0-(tC(b,a,d,e)|0)|0;break}if(!(g==k))if(j==k){d=c[a+36>>2]|0;return ((d|0)==(c[b+32>>2]|0)?0:(d|0)==(e|0)?1:-1)|0}else{d=c[a+32>>2]|0;b=(d|0)==(c[b+36>>2]|0)?0:(d|0)==(e|0)?1:-1;break}if(!(j==i))if(j<i){o=(c[a+36>>2]|0)==(d|0);d=vC(c[b+32>>2]|0,c[a+32>>2]|0,d,e)|0;return (o?d:0-d|0)|0}else{o=(c[b+36>>2]|0)==(e|0);b=vC(c[a+32>>2]|0,c[b+32>>2]|0,d,e)|0;b=o?b:0-b|0;break}o=c[a+32>>2]|0;n=c[b+32>>2]|0;if((o|0)==(n|0)){b=c[b+36>>2]|0;if((c[a+36>>2]|0)==(b|0)){b=0;break}}else b=c[b+36>>2]|0;m=(n|0)==(d|0);if((n|0)==(b|0)){if(m){b=1;break}if((n|0)==(e|0)){b=-1;break}if((o|0)!=(d|0)?(c[a+36>>2]|0)!=(d|0):0){b=1;break}if((o|0)!=(e|0)?(c[a+36>>2]|0)!=(e|0):0){b=-1;break}b=0;break}f=(b|0)==(e|0);if(m&f){b=(c[a+36>>2]|0)==(e|0);if((o|0)==(d|0)){if(!b){b=-1;break}}else if(b){b=1;break}b=0;break}l=(b|0)==(d|0);if((n|0)==(e|0)&l){b=(o|0)==(e|0);if((c[a+36>>2]|0)==(d|0)){if(!b){b=-1;break}}else if(b){b=1;break}b=0;break}if(!n){if(l){b=uC(o,c[a+36>>2]|0,d)|0;break}if(f){b=0-(uC(o,c[a+36>>2]|0,e)|0)|0;break}}f=c[a+36>>2]|0;if(m&(b|0)==0){b=uC(f,o,d)|0;break}else{b=0-(uC(f,o,e)|0)|0;break}}else b=0;while(0);return b|0}function tC(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0.0,j=0.0;i=+h[a+24>>3];j=+h[b+24>>3];do if(i<j){a=c[a+36>>2]|0;if((a|0)==(d|0)?(c[b+32>>2]|0)==(e|0):0){a=-1;break}if((a|0)==(e|0)?(c[b+32>>2]|0)==(d|0):0){a=1;break}a=0}else{f=c[b+32>>2]|0;g=(f|0)==(e|0);if(i==j)if(g){a=vC(c[a+36>>2]|0,c[b+36>>2]|0,d,e)|0;break}else{a=0-(vC(c[b+36>>2]|0,c[a+36>>2]|0,d,e)|0)|0;break}if(g?(c[b+36>>2]|0)==(e|0):0){a=-1;break}if((f|0)==(d|0)?(c[b+36>>2]|0)==(d|0):0){a=1;break}a=0}while(0);return a|0}function uC(a,b,c){a=a|0;b=b|0;c=c|0;return ((a|0)==(c|0)?((b|0)==(c|0))<<31>>31:1)|0}function vC(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;if((a|0)==(d|0)){b=(a|0)==0;if(b)return 0;else b=b&1}return ((a|0)!=0|(b|0)!=(c|0))<<31>>31|0}function wC(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;g=c[a+28>>2]|0;h=c[a+24>>2]|0;d=c[a+32>>2]|0;a=0;a:while(1){e=a+1|0;if((e|0)>=(h|0))break;f=g+(a<<2)|0;b=e;while(1){if((b|0)==(h|0)){a=e;continue a}switch(qC(c[f>>2]|0,c[g+(b<<2)>>2]|0)|0){case 1:{KC(d,a,b);break}case -1:{KC(d,b,a);break}default:{}}b=b+1|0}}return}function xC(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;f=a+24|0;e=c[f>>2]|0;d=e+1|0;c[f>>2]=d;c[b+40>>2]=e;e=a+28|0;a=c[e>>2]|0;if(!a)a=ww(d<<2)|0;else a=yw(a,d<<2)|0;c[e>>2]=a;c[a+((c[f>>2]|0)+-1<<2)>>2]=b;return}function yC(a,b,d){a=a|0;b=b|0;d=+d;var e=0,f=0,g=0;g=l;l=l+16|0;f=g;h[f>>3]=d;e=bb[c[a>>2]&31](a,f,512)|0;if(!e){e=vw(24)|0;h[e+8>>3]=+h[f>>3];c[e+16>>2]=Ql(24712,c[4345]|0)|0;bb[c[a>>2]&31](a,e,1)|0}f=c[e+16>>2]|0;bb[c[f>>2]&31](f,b,1)|0;l=g;return}function zC(a,b,d){a=a|0;b=b|0;d=d|0;JC(c[b+32>>2]|0);_I(c[b+28>>2]|0);_I(b);return}function AC(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0.0,f=0.0;e=+h[b>>3];f=+h[c>>3];if(!(e>f))if(e<f)a=!(+h[b+8>>3]>=+h[c+8>>3])<<31>>31;else a=0;else a=!(+h[b+8>>3]<=+h[c+8>>3])&1;return a|0}function BC(a,b,d){a=a|0;b=b|0;d=d|0;Kl(c[b+16>>2]|0)|0;_I(b);return}function CC(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0.0,f=0.0;f=+h[b>>3];e=+h[c>>3];return (f>e?1:(f<e)<<31>>31)|0}function DC(b,d,e){b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0,j=0;i=(a[d+36>>0]|0)!=0;j=e+40|0;do if((c[d+24>>2]|0)==(e|0)){f=+h[j>>3];if(i){g=(+h[e+64>>3]+ +h[e+48>>3])*.5;break}else{g=+h[e+48>>3];f=(+h[e+56>>3]+f)*.5;break}}else if(i){g=(+h[e+64>>3]+ +h[e+48>>3])*.5;f=+h[e+56>>3];break}else{g=+h[e+64>>3];f=(+h[e+56>>3]+ +h[j>>3])*.5;break}while(0);h[b>>3]=f;h[b+8>>3]=g;return}function EC(a,b){a=a|0;b=b|0;var d=0;d=c[a+20>>2]|0;if((d|0)!=(c[b+20>>2]|0)?(d|0)!=(c[b+24>>2]|0):0)d=c[a+24>>2]|0;return d|0}function FC(a,b){a=a|0;b=b|0;var c=0.0;c=(+h[b+64>>3]+ +h[b+48>>3])*.5;h[a>>3]=(+h[b+56>>3]+ +h[b+40>>3])*.5;h[a+8>>3]=c;return}function GC(b,d,e,f,g,i,j){b=b|0;d=d|0;e=+e;f=+f;g=+g;i=i|0;j=j|0;var k=0,l=0;a[b>>0]=d;h[b+8>>3]=e;if(f<g){k=0;l=i;d=j;e=f;f=g}else{k=1;l=j;d=i;e=g}h[b+24>>3]=f;h[b+16>>3]=e;c[b+36>>2]=d;c[b+32>>2]=l;a[b+1>>0]=k;return}function HC(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=c[b+36>>2]|0;do if((c[e+4>>2]|0)!=(d|0)){if((c[e+12>>2]|0)==(d|0)){e=~~((+h[b+56>>3]+ +h[b+40>>3])*.5);d=~~+h[b+48>>3];break}if((c[e+8>>2]|0)==(d|0)){e=~~+h[b+40>>3];d=~~((+h[b+64>>3]+ +h[b+48>>3])*.5);break}if((c[e>>2]|0)==(d|0)){e=~~+h[b+56>>3];d=~~((+h[b+64>>3]+ +h[b+48>>3])*.5)}else{e=0;d=0}}else{e=~~((+h[b+56>>3]+ +h[b+40>>3])*.5);d=~~+h[b+64>>3]}while(0);c[a>>2]=e;c[a+4>>2]=d;return}function IC(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;d=vw(8)|0;c[d>>2]=a;e=d+4|0;c[e>>2]=vw(a*12|0)|0;b=0;while(1){if((b|0)>=(a|0))break;g=fG()|0;f=c[e>>2]|0;c[f+(b*12|0)+8>>2]=g;c[f+(b*12|0)>>2]=0;b=b+1|0}return d|0}function JC(a){a=a|0;var b=0,d=0,e=0;d=a+4|0;b=0;while(1){e=c[d>>2]|0;if((b|0)>=(c[a>>2]|0))break;Kl(c[e+(b*12|0)+8>>2]|0)|0;b=b+1|0}_I(e);_I(a);return}function KC(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=l;l=l+16|0;f=e;c[f>>2]=d;d=c[(c[a+4>>2]|0)+(b*12|0)+8>>2]|0;bb[c[d>>2]&31](d,f,1)|0;l=e;return}function LC(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;e=l;l=l+16|0;f=e;c[f>>2]=d;a=a+4|0;g=c[(c[a>>2]|0)+(b*12|0)+8>>2]|0;bb[c[g>>2]&31](g,f,2)|0;c[f>>2]=b;d=c[(c[a>>2]|0)+(d*12|0)+8>>2]|0;bb[c[d>>2]&31](d,f,2)|0;l=e;return}function MC(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=l;l=l+16|0;f=e;c[f>>2]=d;d=c[(c[a+4>>2]|0)+(b*12|0)+8>>2]|0;d=(bb[c[d>>2]&31](d,f,512)|0)!=0&1;l=e;return d|0}function NC(a){a=a|0;var b=0,d=0,e=0,f=0;b=c[a>>2]|0;switch(b|0){case 0:break;case 1:{c[(c[a+4>>2]|0)+4>>2]=0;break}default:{e=OC(b)|0;f=a+4|0;d=0;b=0;while(1){if((d|0)>=(c[a>>2]|0)){b=0;break}if(!(c[(c[f>>2]|0)+(d*12|0)>>2]|0))b=PC(a,d,b,e)|0;d=d+1|0}while(1){d=QC(e)|0;if((d|0)<=-1)break;c[(c[f>>2]|0)+(d*12|0)+4>>2]=b;b=b+1|0}RC(e)}}return}function OC(a){a=a|0;var b=0;b=vw(8)|0;c[b+4>>2]=vw(a<<2)|0;c[b>>2]=-1;return b|0}function PC(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;i=a+4|0;g=c[i>>2]|0;j=g+(b*12|0)|0;c[j>>2]=1;g=c[g+(b*12|0)+8>>2]|0;h=g+4|0;d=d+1|0;g=Ol(g)|0;while(1){if(!g)break;f=c[(c[h>>2]|0)+8>>2]|0;if((f|0)<0)f=c[g+8>>2]|0;else f=g+(0-f)|0;f=c[f>>2]|0;if(!(c[(c[i>>2]|0)+(f*12|0)>>2]|0))d=PC(a,f,d,e)|0;g=c[g>>2]|0}c[j>>2]=2;SC(e,b);return d+1|0}function QC(a){a=a|0;var b=0,d=0;b=c[a>>2]|0;if((b|0)==-1)a=-1;else{d=c[(c[a+4>>2]|0)+(b<<2)>>2]|0;c[a>>2]=b+-1;a=d}return a|0}function RC(a){a=a|0;_I(c[a+4>>2]|0);_I(a);return}function SC(a,b){a=a|0;b=b|0;var d=0;d=(c[a>>2]|0)+1|0;c[a>>2]=d;c[(c[a+4>>2]|0)+(d<<2)>>2]=b;return}function TC(a){a=a|0;var d=0,e=0,f=0;e=c[a>>2]|0;c[a+8>>2]=e;c[a+12>>2]=c[a+4>>2];d=a+16|0;a=0;while(1){if((a|0)>=(e|0))break;f=c[d>>2]|0;b[f+(a*40|0)+18>>1]=b[f+(a*40|0)+16>>1]|0;a=a+1|0}return}function UC(a){a=a|0;var d=0,e=0,f=0;d=c[a+8>>2]|0;c[a>>2]=d;c[a+4>>2]=c[a+12>>2];e=a+16|0;a=0;while(1){if((a|0)>=(d|0))break;f=c[e>>2]|0;b[f+(a*40|0)+16>>1]=b[f+(a*40|0)+18>>1]|0;a=a+1|0}d=d+2|0;while(1){if((a|0)>=(d|0))break;b[(c[e>>2]|0)+(a*40|0)+16>>1]=0;a=a+1|0}return}function VC(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=vw(((c[a>>2]|0)*6|0)+(b<<1)<<2)|0;c[a+20>>2]=vw((((c[a>>2]|0)*3|0)+b|0)*24|0)|0;e=c[a>>2]|0;f=a+16|0;a=0;while(1){if((a|0)>=(e|0))break;c[(c[f>>2]|0)+(a*40|0)+28>>2]=d;d=d+24|0;a=a+1|0}e=e+2|0;while(1){if((a|0)>=(e|0))break;c[(c[f>>2]|0)+(a*40|0)+28>>2]=d;d=d+(b<<2)|0;a=a+1|0}return}function WC(a){a=a|0;var b=0;b=vw(24)|0;c[b>>2]=0;c[b+16>>2]=vw(a*40|0)|0;return b|0}function XC(a){a=a|0;var b=0,d=0;d=c[a+16>>2]|0;b=c[a>>2]|0;c[d+(b*40|0)+32>>2]=b;c[a>>2]=b+1;return d+(b*40|0)|0}function YC(a,b,d,e){a=a|0;b=b|0;d=d|0;e=+e;var f=0,g=0;g=a+4|0;f=c[g>>2]|0;c[g>>2]=f+1;g=c[a+20>>2]|0;a=g+(f*24|0)|0;c[g+(f*24|0)+12>>2]=c[b+32>>2];c[g+(f*24|0)+16>>2]=c[d+32>>2];h[a>>3]=e;c[g+(f*24|0)+8>>2]=0;ZC(b,f);ZC(d,f);return a|0}function ZC(a,d){a=a|0;d=d|0;var e=0,f=0;e=a+16|0;f=b[e>>1]|0;c[(c[a+28>>2]|0)+(f<<16>>16<<2)>>2]=d;b[e>>1]=f+1<<16>>16;return}function _C(a){a=a|0;var b=0;b=a+16|0;_I(c[(c[b>>2]|0)+28>>2]|0);_I(c[b>>2]|0);_I(c[a+20>>2]|0);_I(a);return}function $C(a,d,e){a=a|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0;g=c[a>>2]|0;i=a+16|0;f=0;while(1){if((f|0)>=(g|0))break;c[(c[i>>2]|0)+(f*40|0)>>2]=-2147483648;f=f+1|0}nG();a:do if(!(qG(d)|0)){c[d+8>>2]=0;c[d>>2]=0;d=a+20|0;b:while(1){g=sG()|0;if(!g){f=0;break a}c[g>>2]=0-(c[g>>2]|0);if((g|0)==(e|0)){f=0;break a}i=g+16|0;j=g+28|0;f=0;while(1){if((f|0)>=(b[i>>1]|0))continue b;k=(c[d>>2]|0)+((c[(c[j>>2]|0)+(f<<2)>>2]|0)*24|0)|0;l=aD(a,k,g)|0;m=c[l>>2]|0;do if((m|0)<0){n=~~-(+h[k>>3]+ +(c[g>>2]|0));if((m|0)==-2147483648){c[l>>2]=n;if(qG(l)|0){f=1;break a}c[l+8>>2]=g;c[l+12>>2]=k;break}else{if((m|0)>=(n|0))break;tG(l,n);c[l+8>>2]=g;c[l+12>>2]=k;break}}while(0);f=f+1|0}}}else f=1;while(0);return f|0}function aD(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=c[b+12>>2]|0;if((e|0)==(c[d+32>>2]|0))e=c[b+16>>2]|0;return (c[a+16>>2]|0)+(e*40|0)|0}function bD(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;g=c[a>>2]|0;Jr(g,3,b)|0;b=c[g+92>>2]|0;do if(b){d=c[b+16>>2]|0;h=c[d+12>>2]|0;c[a+76>>2]=h;e=c[d+16>>2]|0;c[a+84>>2]=e;f=a+80|0;c[f>>2]=c[d>>2];c[a+88>>2]=c[b+4>>2];d=a+152|0;e=c[d>>2]|c[e>>2];c[d>>2]=e;b=c[g+80>>2]|0;if(!b){c[a+60>>2]=0;b=999;break}else{g=c[b+16>>2]|0;c[a+60>>2]=c[g+12>>2];i=c[g+16>>2]|0;c[a+68>>2]=i;c[a+72>>2]=c[b+4>>2];c[d>>2]=e|c[i>>2];c[a+64>>2]=c[((h|0)==0?f:g)>>2];b=300;break}}else b=999;while(0);return b|0}function cD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(!(ir(a)|0))if((b|0)!=0?(d=c[b>>2]|0,(d|0)!=0):0){gb[d&127](a);a=0}else a=0;else a=1;return a|0}function dD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+4>>2]|0,d|0):0)gb[d&127](a);c[(c[a>>2]|0)+24>>2]=0;qr(a);return}function eD(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0.0,g=0.0,i=0.0;e=+h[b+504>>3];f=+h[b+512>>3];i=+h[b+352>>3];if(!(c[b+360>>2]|0)){g=+h[d>>3]+e;d=d+8|0;e=f}else g=-(f+ +h[d+8>>3]);f=+h[b+528>>3]*i*(+h[d>>3]+e);h[a>>3]=+h[b+520>>3]*i*g;h[a+8>>3]=f;return}function fD(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0.0,j=0.0,k=0.0;f=+h[a+504>>3];g=+h[a+512>>3];i=+h[a+352>>3];j=+h[a+520>>3]*i;i=+h[a+528>>3]*i;a:do if(!(c[a+360>>2]|0)){a=0;while(1){if((a|0)>=(e|0))break a;h[d+(a<<4)>>3]=(+h[b+(a<<4)>>3]+f)*j;h[d+(a<<4)+8>>3]=(+h[b+(a<<4)+8>>3]+g)*i;a=a+1|0}}else{a=0;while(1){if((a|0)>=(e|0))break a;k=-(j*(+h[b+(a<<4)+8>>3]+g));h[d+(a<<4)+8>>3]=(+h[b+(a<<4)>>3]+f)*i;h[d+(a<<4)>>3]=k;a=a+1|0}}while(0);return d|0}function gD(a,b){a=a|0;b=b|0;var d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+8>>2]|0,d|0):0)gb[d&127](a);return}function hD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+12>>2]|0,d|0):0)gb[d&127](a);pr(a);return}function iD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+24>>2]|0,d|0):0)gb[d&127](a);return}function jD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+28>>2]|0,d|0):0)gb[d&127](a);return}function kD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+16>>2]|0,d|0):0){b=c[a+160>>2]|0;kb[d&31](a,c[(c[(c[a>>2]|0)+308>>2]|0)+(b<<2)>>2]|0,b,c[a+156>>2]|0)}return}function lD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+20>>2]|0,d|0):0)gb[d&127](a);return}function mD(a,b){a=a|0;b=b|0;var d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+32>>2]|0,d|0):0)gb[d&127](a);return}function nD(a,b){a=a|0;b=b|0;var d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+36>>2]|0,d|0):0)gb[d&127](a);return}function oD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+40>>2]|0,d|0):0)gb[d&127](a);return}function pD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+44>>2]|0,d|0):0)gb[d&127](a);return}function qD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+48>>2]|0,d|0):0)gb[d&127](a);return}function rD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+52>>2]|0,d|0):0)gb[d&127](a);return}function sD(a,b){a=a|0;b=b|0;var d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+56>>2]|0,d|0):0)gb[d&127](a);return}function tD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+60>>2]|0,d|0):0)gb[d&127](a);return}function uD(a,b){a=a|0;b=b|0;var d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+64>>2]|0,d|0):0)gb[d&127](a);return}function vD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+68>>2]|0,d|0):0)gb[d&127](a);return}function wD(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0;g=c[a+60>>2]|0;if(g|0?(h=c[g+72>>2]|0,h|0):0)lb[h&7](a,b,d,e,f);return}function xD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+76>>2]|0,d|0):0)gb[d&127](a);return}function yD(a,b){a=a|0;b=b|0;var d=0,e=0;d=c[a+60>>2]|0;if(d|0?(e=c[d+80>>2]|0,e|0):0)hb[e&31](a,b);return}function zD(a){a=a|0;var b=0,d=0;b=c[a+60>>2]|0;if(b|0?(d=c[b+84>>2]|0,d|0):0)gb[d&127](a);return}function AD(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0;k=l;l=l+48|0;f=k+32|0;h=k;i=k+16|0;j=c[b+60>>2]|0;m=c[e>>2]|0;do if(m|0?a[m>>0]|0:0){m=c[b+16>>2]|0;if(m|0?(c[m+144>>2]|0)==0:0)break;if(!(c[b+152>>2]&8192)){c[f>>2]=c[d>>2];c[f+4>>2]=c[d+4>>2];c[f+8>>2]=c[d+8>>2];c[f+12>>2]=c[d+12>>2];eD(i,b,f);c[h>>2]=c[i>>2];c[h+4>>2]=c[i+4>>2];c[h+8>>2]=c[i+8>>2];c[h+12>>2]=c[i+12>>2]}else{c[h>>2]=c[d>>2];c[h+4>>2]=c[d+4>>2];c[h+8>>2]=c[d+8>>2];c[h+12>>2]=c[d+12>>2]}if(j|0?(g=c[j+88>>2]|0,g|0):0){c[f>>2]=c[h>>2];c[f+4>>2]=c[h+4>>2];c[f+8>>2]=c[h+8>>2];c[f+12>>2]=c[h+12>>2];ib[g&127](b,f,e)}}while(0);l=k;return}function BD(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;f=c[b+60>>2]|0;g=(c[b+16>>2]|0)+16|0;i=WJ(d,58)|0;h=(i|0)!=0;if(h)a[i>>0]=0;if(f|0?(CD(c[b+68>>2]|0,d,g),e=c[f+92>>2]|0,e|0):0)hb[e&31](b,g);if(h)a[i>>0]=58;return}function CD(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+32|0;g=k+16|0;j=k+8|0;i=k;c[d>>2]=b;c[d+32>>2]=5;e=RE(b)|0;f=c[a+16>>2]|0;if(!((f|0)!=0?(vM(e,f,c[a+20>>2]|0,4,37)|0)!=0:0))h=3;a:do if((h|0)==3){switch(SE(b,d,c[a+24>>2]|0)|0){case 0:break a;case 1:break;default:{_l(1,95868,g)|0;break a}}a=ww((rJ(b)|0)+16|0)|0;c[i>>2]=b;pL(a,95833,i)|0;if(Dv(a)|0){c[j>>2]=b;_l(0,95842,j)|0}_I(a)}while(0);l=k;return}function DD(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;f=c[b+60>>2]|0;g=(c[b+16>>2]|0)+56|0;i=WJ(d,58)|0;h=(i|0)!=0;if(h)a[i>>0]=0;if(f|0?(CD(c[b+68>>2]|0,d,g),e=c[f+92>>2]|0,e|0):0)hb[e&31](b,g);if(h)a[i>>0]=58;return}function ED(a,b,d,e){a=a|0;b=b|0;d=d|0;e=+e;var f=0,h=0,i=0,j=0;h=c[a+60>>2]|0;i=a+16|0;j=(c[i>>2]|0)+96|0;if(h|0?(CD(c[a+68>>2]|0,b,j),f=c[h+92>>2]|0,f|0):0)hb[f&31](a,j);j=c[i>>2]|0;c[j+136>>2]=d;g[j+140>>2]=e;return}function FD(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0;m=l;l=l+16|0;k=m;j=c[b+60>>2]|0;b=c[b+16>>2]|0;c[b+160>>2]=d;a:do if((d|0)!=0&(j|0)!=0){j=b+144|0;i=b+152|0;g=b+148|0;b=d;b:while(1){f=b+4|0;b=c[b>>2]|0;if(!b)break a;c:do switch(a[b>>0]|0){case 115:{if(!(xJ(b,95889)|0)){c[j>>2]=3;b=f;continue b}if(!(xJ(b,95910)|0)){e=115;while(1){d=b+1|0;if(!(e<<24>>24))break;b=d;e=a[d>>0]|0}h[i>>3]=+sM(d);b=f;continue b}break}case 100:{if(!(xJ(b,122119)|0)){c[j>>2]=1;b=f;continue b}if(!(xJ(b,122112)|0)){c[j>>2]=2;b=f;continue b}break}case 105:{if(xJ(b,119127)|0?xJ(b,95895)|0:0)break c;c[j>>2]=0;b=f;continue b}case 98:{if(!(xJ(b,95905)|0)){h[i>>3]=2.0;b=f;continue b}break}case 102:{if(!(xJ(b,95923)|0)){c[g>>2]=1;b=f;continue b}break}case 117:{if(!(xJ(b,95930)|0)){c[g>>2]=0;b=f;continue b}break}case 116:{if(!(xJ(b,95939)|0)){b=f;continue b}break}default:{}}while(0);c[k>>2]=b;_l(0,95947,k)|0;b=f}}while(0);l=m;return}function GD(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0;j=l;l=l+32|0;g=j;d=c[a+60>>2]|0;if((d|0?(i=d+96|0,f=c[i>>2]|0,f|0):0)?c[(c[a+16>>2]|0)+144>>2]|0:0){d=b+16|0;h[g>>3]=(+h[d>>3]+ +h[b>>3])*.5;h[g+8>>3]=(+h[b+24>>3]+ +h[b+8>>3])*.5;b=g+16|0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];if(!(c[a+152>>2]&8192)){fD(a,g,g,2)|0;f=c[i>>2]|0}ib[f&127](a,g,e)}l=j;return}function HD(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+48|0;m=o;f=c[a+60>>2]|0;if((f|0?(n=f+100|0,c[n>>2]|0):0)?(k=a+16|0,j=c[k>>2]|0,c[j+144>>2]|0):0){if(!(e&4)){f=e;g=0}else{f=e&-5;e=j+16|0;g=m;h=e;i=g+40|0;do{c[g>>2]=c[h>>2];g=g+4|0;h=h+4|0}while((g|0)<(i|0));g=e;h=j+56|0;i=g+40|0;do{c[g>>2]=c[h>>2];g=g+4|0;h=h+4|0}while((g|0)<(i|0));g=1}if(!(c[a+152>>2]&8192)){e=d+10|0;if((c[42406]|0)<(d|0)){c[42406]=e;e=yw(c[42407]|0,e<<4)|0;c[42407]=e}else e=c[42407]|0;fD(a,b,e,d)|0;kb[c[n>>2]&31](a,e,d,f)}else kb[c[n>>2]&31](a,b,d,f);if(g|0){g=(c[k>>2]|0)+16|0;h=m;i=g+40|0;do{c[g>>2]=c[h>>2];g=g+4|0;h=h+4|0}while((g|0)<(i|0))}}l=o;return}function ID(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;e=l;l=l+64|0;f=e;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];g=f+32|0;b=b+16|0;c[g>>2]=c[b>>2];c[g+4>>2]=c[b+4>>2];c[g+8>>2]=c[b+8>>2];c[g+12>>2]=c[b+12>>2];h[f+16>>3]=+h[f>>3];h[f+24>>3]=+h[f+40>>3];h[f+48>>3]=+h[g>>3];h[f+56>>3]=+h[f+8>>3];HD(a,f,4,d);l=e;return}function JD(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0;i=c[a+60>>2]|0;do if((i|0?(j=i+104|0,h=c[j>>2]|0,h|0):0)?c[(c[a+16>>2]|0)+144>>2]|0:0){if(c[a+152>>2]&8192|0){mb[h&15](a,b,d,e,f,g&255);break}h=d+10|0;if((c[42406]|0)<(d|0)){c[42406]=h;h=yw(c[42407]|0,h<<4)|0;c[42407]=h}else h=c[42407]|0;fD(a,b,h,d)|0;mb[c[j>>2]&15](a,h,d,e,f,g&255)}while(0);return}function KD(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;e=c[a+60>>2]|0;do if((e|0?(g=e+108|0,f=c[g>>2]|0,f|0):0)?c[(c[a+16>>2]|0)+144>>2]|0:0){if(c[a+152>>2]&8192|0){ib[f&127](a,b,d);break}e=d+10|0;if((c[42406]|0)<(d|0)){c[42406]=e;e=yw(c[42407]|0,e<<4)|0;c[42407]=e}else e=c[42407]|0;fD(a,b,e,d)|0;ib[c[g>>2]&127](a,e,d)}while(0);return}function LD(b,d){b=b|0;d=d|0;var e=0,f=0;e=c[b+60>>2]|0;if((d|0?!((e|0)==0|(a[d>>0]|0)==0):0)?(f=c[e+112>>2]|0,f|0):0)hb[f&31](b,d);return}function MD(b,d,e,f,g,i){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0.0,k=0.0,m=0,n=0,o=0.0,p=0.0,q=0.0,r=0.0,s=0,t=0.0,u=0.0,v=0.0,w=0.0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0;F=l;l=l+112|0;B=F+64|0;E=F;n=F+96|0;x=F+48|0;y=F+32|0;C=c[b+60>>2]|0;if(!b)ma(96061,96e3,691,96011);if(!d)ma(96030,96e3,692,96011);if(!(a[d>>0]|0))ma(96035,96e3,693,96011);D=Lr(d)|0;if(!D){if((C|0)!=0&(Py(d)|0)!=0?(m=c[C+116>>2]|0,m|0):0)lb[m&7](b,d,e,f,g&255)}else{s=b+432|0;c[B>>2]=c[s>>2];c[B+4>>2]=c[s+4>>2];c[B+8>>2]=c[s+8>>2];c[B+12>>2]=c[s+12>>2];Or(n,D,B);s=c[n>>2]|0;m=c[n+4>>2]|0;if(!((s|0)<1&(m|0)<1)){n=E+16|0;c[n>>2]=c[e>>2];c[n+4>>2]=c[e+4>>2];c[n+8>>2]=c[e+8>>2];c[n+12>>2]=c[e+12>>2];c[E>>2]=c[e>>2];c[E+4>>2]=c[e+4>>2];c[E+8>>2]=c[e+8>>2];c[E+12>>2]=c[e+12>>2];z=E+8|0;A=E+24|0;d=1;while(1){if((d|0)>=(f|0))break;G=e+(d<<4)|0;v=+h[G>>3];h[E>>3]=+h[(+h[E>>3]<v?E:G)>>3];w=+h[e+(d<<4)+8>>3];h[z>>3]=+h[(+h[z>>3]<w?E:G)+8>>3];h[n>>3]=+h[(+h[n>>3]>v?n:G)>>3];h[A>>3]=+h[(+h[A>>3]>w?n:G)+8>>3];d=d+1|0}k=+h[n>>3];j=+h[E>>3];t=k-j;u=+h[A>>3];v=+h[z>>3];w=u-v;o=+(m|0);p=+(s|0);q=t/p;r=w/o;a:do switch(ND(i)|0){case 1:if(q<r){p=q*p;o=q*o;break a}else{p=r*p;o=r*o;break a}case 2:{p=q*p;break}case 3:{o=r*o;break}case 4:{p=q*p;o=r*o;break}default:{}}while(0);if(p<t){t=(t-p)*.5;j=j+t;h[E>>3]=j;k=k-t;h[n>>3]=k}if(o<w){w=(w-o)*.5;h[z>>3]=v+w;h[A>>3]=u-w}if(!(c[b+152>>2]&8192)){c[B>>2]=c[E>>2];c[B+4>>2]=c[E+4>>2];c[B+8>>2]=c[E+8>>2];c[B+12>>2]=c[E+12>>2];eD(x,b,B);c[E>>2]=c[x>>2];c[E+4>>2]=c[x+4>>2];c[E+8>>2]=c[x+8>>2];c[E+12>>2]=c[x+12>>2];c[B>>2]=c[n>>2];c[B+4>>2]=c[n+4>>2];c[B+8>>2]=c[n+8>>2];c[B+12>>2]=c[n+12>>2];eD(y,b,B);c[n>>2]=c[y>>2];c[n+4>>2]=c[y+4>>2];c[n+8>>2]=c[y+8>>2];c[n+12>>2]=c[y+12>>2];k=+h[n>>3];j=+h[E>>3]}if(j>k){h[E>>3]=k;h[n>>3]=j}j=+h[z>>3];k=+h[A>>3];if(j>k){h[z>>3]=k;h[A>>3]=j}if(C|0){G=c[b+72>>2]|0;c[B>>2]=c[E>>2];c[B+4>>2]=c[E+4>>2];c[B+8>>2]=c[E+8>>2];c[B+12>>2]=c[E+12>>2];c[B+16>>2]=c[E+16>>2];c[B+20>>2]=c[E+20>>2];c[B+24>>2]=c[E+24>>2];c[B+28>>2]=c[E+28>>2];PD(b,D,B,g,G)}}}l=F;return}function ND(b){b=b|0;if(a[b>>0]|0)if(iK(b,96043)|0)if(iK(b,96049)|0)if(!(iK(b,96056)|0))b=4;else b=(IA(b)|0)<<24>>24!=0&1;else b=3;else b=2;else b=0;return b|0}function OD(a,b){a=a|0;b=+b;if(c[a+60>>2]|0)h[(c[a+16>>2]|0)+152>>3]=b;return}function PD(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+176|0;k=n+8|0;j=n;h=n+40|0;if(!b)ma(96061,96065,52,96079);if(!d)ma(96091,96065,53,96079);i=c[d+8>>2]|0;if(!i)ma(96094,96065,54,96079);if(!(a[i>>0]|0))ma(96103,96065,55,96079);xK(h,c[d+28>>2]|0)|0;i=h+(rJ(h)|0)|0;a[i>>0]=58;a[i+1>>0]=0;IL(h,g)|0;if((QD(b,h)|0)==999){c[j>>2]=h;_l(0,96115,j)|0}g=c[b+92>>2]|0;if(g|0?(m=c[g>>2]|0,m|0):0){c[k>>2]=c[e>>2];c[k+4>>2]=c[e+4>>2];c[k+8>>2]=c[e+8>>2];c[k+12>>2]=c[e+12>>2];c[k+16>>2]=c[e+16>>2];c[k+20>>2]=c[e+20>>2];c[k+24>>2]=c[e+24>>2];c[k+28>>2]=c[e+28>>2];kb[m&31](b,d,k,f)}l=n;return}function QD(a,b){a=a|0;b=b|0;b=Jr(c[a>>2]|0,4,b)|0;if(!b)b=999;else{b=c[b+16>>2]|0;c[a+92>>2]=c[b+12>>2];c[a+96>>2]=c[b>>2];b=300}return b|0}function RD(a){a=a|0;return 1}function SD(b){b=b|0;var c=0;a[b+536>>0]=0;c=b+336|0;h[c>>3]=+h[c>>3]+10.0/+h[b+352>>3];a[b+537>>0]=1;return 0}function TD(b){b=b|0;var c=0;a[b+536>>0]=0;c=b+336|0;h[c>>3]=+h[c>>3]-10.0/+h[b+352>>3];a[b+537>>0]=1;return 0}function UD(b){b=b|0;var c=0;a[b+536>>0]=0;c=b+344|0;h[c>>3]=+h[c>>3]-10.0/+h[b+352>>3];a[b+537>>0]=1;return 0}function VD(b){b=b|0;var c=0;a[b+536>>0]=0;c=b+344|0;h[c>>3]=+h[c>>3]+10.0/+h[b+352>>3];a[b+537>>0]=1;return 0}function WD(b){b=b|0;var c=0;a[b+536>>0]=0;c=b+352|0;h[c>>3]=+h[c>>3]*1.1;a[b+537>>0]=1;return 0}function XD(b){b=b|0;var c=0;a[b+536>>0]=0;c=b+352|0;h[c>>3]=+h[c>>3]*.9090909090909091;a[b+537>>0]=1;return 0}function YD(b){b=b|0;var d=0,e=0,f=0,g=0.0,i=0.0;e=b+536|0;d=(a[e>>0]|0)==0;a[e>>0]=d&1;if(d){d=c[b+448>>2]|0;e=c[b+452>>2]|0;i=+(d>>>0);g=+(e>>>0);f=i/+(d|0)<g/+(e|0);h[b+352>>3]=(f?i:g)/+((f?d:e)|0);e=b+336|0;c[e>>2]=0;c[e+4>>2]=0;c[e+8>>2]=0;c[e+12>>2]=0;a[b+537>>0]=1}return 0}function ZD(b){b=b|0;var d=0,e=0;d=c[(c[b>>2]|0)+168>>2]|0;e=b+580|0;if(!(c[e>>2]|0)){c[e>>2]=d;e=(c[d+16>>2]|0)+112|0;a[e>>0]=a[e>>0]|2;nE(b,d)}gu(b,d);a[b+540>>0]=1;return}function _D(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0,k=0;k=l;l=l+16|0;f=k;switch(d|0){case 1:{c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];c[f+8>>2]=c[e+8>>2];c[f+12>>2]=c[e+12>>2];gE(b,f);mE(b);a[b+538>>0]=1;a[b+541>>0]=1;j=13;break}case 2:{a[b+538>>0]=1;a[b+541>>0]=2;j=13;break}case 3:{c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];c[f+8>>2]=c[e+8>>2];c[f+12>>2]=c[e+12>>2];gE(b,f);a[b+538>>0]=1;a[b+541>>0]=3;j=13;break}case 4:{a[b+536>>0]=0;if(!(c[b+360>>2]|0)){f=b+352|0;i=+h[f>>3];d=b+336|0;h[d>>3]=(+h[e>>3]-+((c[b+448>>2]|0)>>>0)*.5)*.10000000000000009/(+h[b+520>>3]*i)+ +h[d>>3];g=+h[e+8>>3]-+((c[b+452>>2]|0)>>>0)*.5;d=b+528|0}else{f=b+352|0;i=+h[f>>3];d=b+336|0;h[d>>3]=+h[d>>3]-(+h[e+8>>3]-+((c[b+452>>2]|0)>>>0)*.5)*.10000000000000009/(+h[b+528>>3]*i);g=+h[e>>3]-+((c[b+448>>2]|0)>>>0)*.5;d=b+520|0}j=b+344|0;h[j>>3]=g*.10000000000000009/(+h[d>>3]*i)+ +h[j>>3];h[f>>3]=i*1.1;j=13;break}case 5:{a[b+536>>0]=0;j=b+352|0;i=+h[j>>3]*.9090909090909091;h[j>>3]=i;if(!(c[b+360>>2]|0)){f=b+336|0;h[f>>3]=+h[f>>3]-(+h[e>>3]-+((c[b+448>>2]|0)>>>0)*.5)*.10000000000000009/(+h[b+520>>3]*i);g=+h[e+8>>3]-+((c[b+452>>2]|0)>>>0)*.5;f=b+528|0}else{f=b+336|0;h[f>>3]=(+h[e+8>>3]-+((c[b+452>>2]|0)>>>0)*.5)*.10000000000000009/(+h[b+528>>3]*i)+ +h[f>>3];g=+h[e>>3]-+((c[b+448>>2]|0)>>>0)*.5;f=b+520|0}j=b+344|0;h[j>>3]=+h[j>>3]-g*.10000000000000009/(+h[f>>3]*i);j=13;break}default:{}}if((j|0)==13)a[b+537>>0]=1;b=b+560|0;c[b>>2]=c[e>>2];c[b+4>>2]=c[e+4>>2];c[b+8>>2]=c[e+8>>2];c[b+12>>2]=c[e+12>>2];l=k;return}function $D(b,c,d){b=b|0;c=c|0;d=d|0;a[b+538>>0]=0;a[b+541>>0]=0;return}function aE(b,d){b=b|0;d=d|0;var e=0,f=0.0,g=0.0,i=0,j=0.0,k=0;k=l;l=l+16|0;e=k;i=b+560|0;j=(+h[d>>3]-+h[i>>3])/+h[b+520>>3];g=(+h[d+8>>3]-+h[b+568>>3])/+h[b+528>>3];if(!(+B(+j)<.0001&+B(+g)<.0001)){switch(a[b+541>>0]|0){case 0:{c[e>>2]=c[d>>2];c[e+4>>2]=c[d+4>>2];c[e+8>>2]=c[d+8>>2];c[e+12>>2]=c[d+12>>2];gE(b,e);break}case 2:{f=+h[b+352>>3];if(!(c[b+360>>2]|0)){e=b+336|0;h[e>>3]=+h[e>>3]-j/f;e=b+344|0;h[e>>3]=+h[e>>3]-g/f}else{e=b+336|0;h[e>>3]=+h[e>>3]-g/f;e=b+344|0;h[e>>3]=+h[e>>3]+j/f}a[b+537>>0]=1;break}default:{}}c[i>>2]=c[d>>2];c[i+4>>2]=c[d+4>>2];c[i+8>>2]=c[d+8>>2];c[i+12>>2]=c[d+12>>2]}l=k;return}function bE(a,b,c){a=a|0;b=b|0;c=c|0;return}function cE(a){a=a|0;return}function dE(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;j=c[b>>2]|0;if(d){d=aM(d,123632)|0;if(d|0){i=er(d,0)|0;LL(d)|0;f=5}}else{i=er(c[13853]|0,0)|0;f=5}if((f|0)==5?i|0:0){g=j+168|0;d=c[g>>2]|0;if(d|0){f=c[j+172>>2]|0;if((f|0)!=0?(h=c[f+4>>2]|0,(h|0)!=0):0){gb[h&127](d);d=c[g>>2]|0}iw(d);ln(c[g>>2]|0)|0}So(i,0,122277,280,1);So(i,1,122241,304,1);So(i,2,122254,176,1);c[g>>2]=i;c[(c[i+16>>2]|0)+144>>2]=j;if((ls(j,i,e)|0)!=-1){c[b+580>>2]=0;c[b+576>>2]=0;a[b+537>>0]=1}}return}function eE(a,b){a=a|0;b=b|0;a=c[a>>2]|0;ls(a,c[a+168>>2]|0,b)|0;return}function fE(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;g=c[a>>2]|0;f=g+160|0;e=c[f>>2]|0;if((e|0)!=0?(c[g+164>>2]|0)==0:0){i=g+192|0;h=c[i>>2]|0;c[f>>2]=0;c[i>>2]=0;f=h}else{f=0;e=0}ns(g,c[g+168>>2]|0,b,d)|0;if(e|0){i=c[a>>2]|0;c[i+160>>2]=e;c[i+192>>2]=f}return}function gE(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,i=0.0,j=0.0,k=0.0,m=0;f=l;l=l+80|0;e=f+48|0;g=f;m=f+32|0;c[e>>2]=c[d>>2];c[e+4>>2]=c[d+4>>2];c[e+8>>2]=c[d+8>>2];c[e+12>>2]=c[d+12>>2];hE(m,b,e);k=+h[m>>3];j=+h[m+8>>3];i=1.0/+h[b+352>>3];h[g+16>>3]=i+k;h[g+24>>3]=i+j;h[g>>3]=k-i;h[g+8>>3]=j-i;d=c[(c[b>>2]|0)+168>>2]|0;c[e>>2]=c[g>>2];c[e+4>>2]=c[g+4>>2];c[e+8>>2]=c[g+8>>2];c[e+12>>2]=c[g+12>>2];c[e+16>>2]=c[g+16>>2];c[e+20>>2]=c[g+20>>2];c[e+24>>2]=c[g+24>>2];c[e+28>>2]=c[g+28>>2];d=iE(d,e)|0;e=b+576|0;if((d|0)!=(c[e>>2]|0)){jE(b);c[e>>2]=d;kE(b);a[b+537>>0]=1}l=f;return}function hE(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0.0,g=0.0,i=0;if(!(c[b+360>>2]|0)){e=+h[b+352>>3];f=+h[d+8>>3];g=e;i=b+528|0;e=+h[d>>3]/(+h[b+520>>3]*e)-+h[b+504>>3]}else{e=+h[b+352>>3];f=-+h[d>>3];g=e;i=b+520|0;e=+h[d+8>>3]/(+h[b+528>>3]*e)-+h[b+504>>3]}g=f/(+h[i>>3]*g)-+h[b+512>>3];h[a>>3]=e;h[a+8>>3]=g;return}function iE(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;g=l;l=l+32|0;f=g;e=co(a)|0;a:while(1){if(!e){e=9;break}d=Pm(a,e)|0;while(1){if(!d)break;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];c[f+16>>2]=c[b+16>>2];c[f+20>>2]=c[b+20>>2];c[f+24>>2]=c[b+24>>2];c[f+28>>2]=c[b+28>>2];if((DB(d,f)|0)<<24>>24){e=6;break a}d=Rm(a,d)|0}e=eo(a,e)|0}do if((e|0)!=6)if((e|0)==9){d=fo(a)|0;while(1){if(!d)break;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];c[f+16>>2]=c[b+16>>2];c[f+20>>2]=c[b+20>>2];c[f+24>>2]=c[b+24>>2];c[f+28>>2]=c[b+28>>2];if((AB(d,f)|0)<<24>>24){e=12;break}d=go(a,d)|0}if((e|0)==12)break;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];c[f+16>>2]=c[b+16>>2];c[f+20>>2]=c[b+20>>2];c[f+24>>2]=c[b+24>>2];c[f+28>>2]=c[b+28>>2];d=lE(a,f)|0;if(!d){d=a;break}else break}while(0);l=g;return d|0}function jE(b){b=b|0;var d=0;d=c[b+576>>2]|0;a:do if(d|0)switch(Co(d)|0){case 0:{d=(c[d+16>>2]|0)+112|0;a[d>>0]=a[d>>0]&-2;break a}case 1:{d=(c[d+16>>2]|0)+117|0;a[d>>0]=a[d>>0]&-2;break a}case 2:{d=(c[d+16>>2]|0)+115|0;a[d>>0]=a[d>>0]&-2;break a}default:break a}while(0);c[b+584>>2]=0;return}function kE(b){b=b|0;var d=0,e=0;e=b+584|0;d=c[e>>2]|0;if(d|0){_I(d);c[e>>2]=0}d=c[b+576>>2]|0;a:do if(d|0)switch(Co(d)|0){case 0:{b=(c[d+16>>2]|0)+112|0;a[b>>0]=a[b>>0]|1;b=ym(d,0,96229,0)|0;if(!b)break a;c[e>>2]=qw(Jm(d,b)|0,d)|0;break a}case 1:{b=(c[d+16>>2]|0)+117|0;a[b>>0]=a[b>>0]|1;b=ym(ro(d)|0,1,96229,0)|0;if(!b)break a;c[e>>2]=qw(Jm(d,b)|0,d)|0;break a}case 2:{b=(c[d+16>>2]|0)+115|0;a[b>>0]=a[b>>0]|1;b=ym(ro(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)|0,2,96229,0)|0;if(!b)break a;c[e>>2]=qw(Jm(d,b)|0,d)|0;break a}default:break a}while(0);return}function lE(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0.0,o=0.0;m=l;l=l+32|0;e=m;g=c[a+16>>2]|0;i=c[g+180>>2]|0;j=g+184|0;d=1;while(1){if((d|0)>(i|0)){k=4;break}f=c[(c[j>>2]|0)+(d<<2)>>2]|0;c[e>>2]=c[b>>2];c[e+4>>2]=c[b+4>>2];c[e+8>>2]=c[b+8>>2];c[e+12>>2]=c[b+12>>2];c[e+16>>2]=c[b+16>>2];c[e+20>>2]=c[b+20>>2];c[e+24>>2]=c[b+24>>2];c[e+28>>2]=c[b+28>>2];f=lE(f,e)|0;if(!f)d=d+1|0;else{a=f;break}}do if((k|0)==4){o=+h[g+24>>3];n=+h[g+40>>3];if(((+h[b+16>>3]>=+h[g+16>>3]?+h[g+32>>3]>=+h[b>>3]:0)?+h[b+24>>3]>=o:0)?n>=+h[b+8>>3]:0)break;a=0}while(0);l=m;return a|0}function mE(b){b=b|0;var d=0,e=0,f=0;f=b+580|0;d=c[f>>2]|0;a:do if(d|0)switch(Co(d)|0){case 0:{e=(c[d+16>>2]|0)+112|0;a[e>>0]=a[e>>0]&-7|4;break a}case 1:{e=(c[d+16>>2]|0)+117|0;a[e>>0]=a[e>>0]&-7|4;break a}case 2:{e=(c[d+16>>2]|0)+115|0;a[e>>0]=a[e>>0]&-7|4;break a}default:break a}while(0);d=b+588|0;e=c[d>>2]|0;if(e|0){_I(e);c[d>>2]=0}d=c[b+576>>2]|0;c[f>>2]=d;b:do if(d|0)switch(Co(d)|0){case 0:{f=(c[d+16>>2]|0)+112|0;a[f>>0]=a[f>>0]|2;nE(b,d);break b}case 1:{f=(c[d+16>>2]|0)+117|0;a[f>>0]=a[f>>0]|2;oE(b,d);break b}case 2:{f=(c[d+16>>2]|0)+115|0;a[f>>0]=a[f>>0]|2;pE(b,d);break b}default:break b}while(0);return}function nE(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;d=a+592|0;do if((so(b)|0)==(b|0))if(!(qn(b)|0)){Er(d,0,96286);break}else{Er(d,0,96278);break}else Er(d,0,96292);while(0);Er(d,1,Dn(b)|0);c[a+596>>2]=2;f=a+604|0;d=0;e=2;while(1){d=Dm(b,0,d)|0;if(!d)break;Er(f,e,c[d+8>>2]|0);Er(f,e+1|0,Jm(b,d)|0);Er(f,e+2|0,0);e=e+3|0}c[a+608>>2]=e;d=ym(b,0,96264,0)|0;if(!d){d=ym(b,0,96269,0)|0;if(d|0)g=11}else g=11;if((g|0)==11)c[a+588>>2]=qw(Jm(b,d)|0,b)|0;return}function oE(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;f=a+592|0;Er(f,0,96273);Er(f,1,Dn(b)|0);c[a+596>>2]=2;f=a+604|0;g=so(ro(b)|0)|0;e=2;d=0;while(1){d=Dm(g,1,d)|0;if(!d)break;Er(f,e,c[d+8>>2]|0);Er(f,e|1,Jm(b,d)|0);e=e+2|0}c[a+608>>2]=e;d=ym(ro(b)|0,1,96264,0)|0;if(!d){d=ym(ro(b)|0,1,96269,0)|0;if(d|0)h=6}else h=6;if((h|0)==6)c[a+588>>2]=qw(Jm(b,d)|0,b)|0;return}function pE(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0;h=a+592|0;Er(h,0,96237);k=b+48|0;Er(h,1,Dn(c[((c[b>>2]&3|0)==3?b:k)+40>>2]|0)|0);k=(qn(ro(c[((c[b>>2]&3|0)==3?b:k)+40>>2]|0)|0)|0)!=0;Er(h,3,k?122546:122549);k=b+-48|0;Er(h,4,Dn(c[((c[b>>2]&3|0)==2?b:k)+40>>2]|0)|0);c[a+596>>2]=7;i=a+604|0;j=so(ro(c[((c[b>>2]&3|0)==2?b:k)+40>>2]|0)|0)|0;g=7;d=0;a:while(1){while(1){d=Dm(j,2,d)|0;if(!d)break a;e=d+8|0;f=c[e>>2]|0;if(!(xJ(f,96242)|0)){l=5;break}if(!(xJ(f,96251)|0)){l=7;break}if(xJ(f,96260)|0)break;Er(h,6,Jm(b,d)|0)}if((l|0)==5){l=0;Er(h,2,Jm(b,d)|0)}else if((l|0)==7){l=0;Er(h,5,Jm(b,d)|0)}Er(i,g,c[e>>2]|0);Er(i,g+1|0,Jm(b,d)|0);g=g+2|0}c[a+608>>2]=g;d=ym(ro(c[((c[b>>2]&3|0)==2?b:k)+40>>2]|0)|0,2,96264,0)|0;if(!d){d=ym(ro(c[((c[b>>2]&3|0)==2?b:k)+40>>2]|0)|0,2,96269,0)|0;if(d|0)l=13}else l=13;if((l|0)==13)c[a+588>>2]=qw(Jm(b,d)|0,b)|0;return}function qE(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;g=rE(a,b,c[d>>2]|0)|0;d=c[d+4>>2]|0;while(1){f=c[d+4>>2]|0;if(!f)break;b=0;while(1){e=c[f+(b*20|0)+4>>2]|0;if(!e)break;Hr(a,c[d>>2]|0,e,c[f+(b*20|0)+8>>2]|0,g,f+(b*20|0)|0)|0;b=b+1|0}d=d+8|0}return}function rE(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=ww(12)|0;if(!b)b=0;else b=GL(b)|0;c[e+4>>2]=b;c[e+8>>2]=GL(d)|0;d=a+100|0;c[e>>2]=c[d>>2];c[d>>2]=e;return e|0}function sE(b,c){b=b|0;c=c|0;tE(b);a[b+44>>0]=0;uE(b)|0;tA(b)|0;return}function tE(b){b=b|0;var d=0,e=0;d=c[b+32>>2]|0;a:do if(d|0)while(1){e=c[d>>2]|0;if(!e)break a;if((a[e>>0]|0)==103?hL(e,96301)|0:0)qE(b,0,c[d+4>>2]|0);d=d+8|0}while(0);return}function uE(a){a=a|0;var b=0;b=Jr(a,2,96314)|0;if(!b)a=999;else{c[a+148>>2]=c[(c[b+16>>2]|0)+12>>2];a=300}return a|0}function vE(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;a=c[a+148>>2]|0;if((a|0)!=0?(e=c[a>>2]|0,(e|0)!=0):0)a=ab[e&63](b,d)|0;else a=0;return a|0}function wE(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;return (c[b>>2]|0)-(c[d>>2]|0)|0}function xE(a){a=a|0;var b=0.0,d=0.0;a=c[a+16>>2]|0;d=+h[a+16>>3];b=+h[a+24>>3];return (yE(~~(d>b?d:b)>>>0)|0)+1|0}function yE(a){a=a|0;var b=0,c=0;if(!a)a=-1;else{c=a>>>0>65535;a=c?a>>>16:a;c=c?16:0;b=a>>>0>255;a=b?a>>>8:a;c=b?c|8:c;b=a>>>0>15;a=b?a>>>4:a;c=b?c|4:c;b=a>>>0>3;a=(b?c|2:c)+((b?a>>>2:a)>>>0>1&1)|0}return a|0}function zE(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0.0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0;r=l;l=l+32|0;q=r;p=AE(b,d,e,f,g)|0;e=BE(p)|0;if((e|0)>=0){n=q+16|0;o=q+24|0;m=q+8|0;k=g+32|0;e=0;g=0;while(1){if((g|0)>=(d|0))break;f=b+(g*40|0)+32|0;do if(c[f>>2]|0){CE(q,p,b+(g*40|0)|0);i=+h[n>>3];j=+h[o>>3];if(!(c[q>>2]|0)){a[(c[f>>2]|0)+36>>0]=1;break}if(+h[m>>3]==0.0){f=c[f>>2]|0;h[f+16>>3]=i;h[f+24>>3]=j;a[f+36>>0]=1;break}if((a[k>>0]|0)==1){f=c[f>>2]|0;h[f+16>>3]=i;h[f+24>>3]=j;a[f+36>>0]=1}else e=1}while(0);g=g+1|0}DE(p)}l=r;return e|0}function AE(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0;g=vw(28)|0;j=Ql(24896,c[4348]|0)|0;h=g+20|0;c[h>>2]=j;do if(j){j=jH()|0;c[g+24>>2]=j;if(!j){XL(96532,14,1,c[13918]|0)|0;i=6;break}else{c[g>>2]=a;c[g+4>>2]=b;c[g+8>>2]=d;c[g+12>>2]=e;c[g+16>>2]=f;break}}else{XL(96532,14,1,c[13918]|0)|0;i=6}while(0);if((i|0)==6){a=c[h>>2]|0;if(a|0)Kl(a)|0;a=c[g+24>>2]|0;if(a|0)lH(a)|0;_I(g);g=0}return g|0}function BE(a){a=a|0;var b=0;b=ME(a)|0;if((b|0)>=0){NE(a);OE(a);b=Kl(c[a+20>>2]|0)|0}return b|0}function CE(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0,g=0,i=0.0,j=0,k=0.0,m=0,n=0,o=0,p=0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0.0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0.0,L=0,M=0;M=l;l=l+464|0;J=M+416|0;L=M+400|0;G=M+384|0;m=M+352|0;n=M+320|0;o=M+288|0;p=M+256|0;r=M+224|0;s=M+192|0;t=M+160|0;u=M+128|0;v=M+96|0;x=M+64|0;y=M+32|0;H=M;z=c[d+32>>2]|0;e=+h[z>>3];C=d+16|0;A=(e*2.0+ +h[C>>3])*.125;D=z+8|0;I=d+24|0;i=+h[I>>3];K=(+h[D>>3]*2.0+i)*.5;if(!z)ma(96325,96335,445,96345);f=J;g=f+36|0;do{c[f>>2]=0;f=f+4|0}while((f|0)<(g|0));B=z+16|0;h[B>>3]=+h[d>>3]-e;E=d+8|0;F=z+24|0;h[F>>3]=i+ +h[E>>3];EE(m,b,d,J);j=c[m>>2]|0;f=c[m+4>>2]|0;e=+h[m+8>>3];m=m+16|0;c[L>>2]=c[m>>2];c[L+4>>2]=c[m+4>>2];c[L+8>>2]=c[m+8>>2];c[L+12>>2]=c[m+12>>2];a:do if(!j){c[a>>2]=0;c[a+4>>2]=f;h[a+8>>3]=e;a=a+16|0;c[a>>2]=c[L>>2];c[a+4>>2]=c[L+4>>2];c[a+8>>2]=c[L+8>>2];c[a+12>>2]=c[L+12>>2]}else{h[F>>3]=+h[E>>3];EE(n,b,d,J);g=c[n>>2]|0;m=c[n+4>>2]|0;i=+h[n+8>>3];n=n+16|0;c[G>>2]=c[n>>2];c[G+4>>2]=c[n+4>>2];c[G+8>>2]=c[n+8>>2];c[G+12>>2]=c[n+12>>2];if(!g){c[a>>2]=0;c[a+4>>2]=m;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break}if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];f=m;e=i}else g=j;h[F>>3]=+h[E>>3]-+h[D>>3];EE(o,b,d,J);m=c[o>>2]|0;j=c[o+4>>2]|0;i=+h[o+8>>3];o=o+16|0;c[G>>2]=c[o>>2];c[G+4>>2]=c[o+4>>2];c[G+8>>2]=c[o+8>>2];c[G+12>>2]=c[o+12>>2];if(!m){c[a>>2]=0;c[a+4>>2]=j;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break}if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];f=j;e=i}else m=g;h[B>>3]=+h[d>>3];h[F>>3]=+h[I>>3]+ +h[E>>3];EE(p,b,d,J);g=c[p>>2]|0;j=c[p+4>>2]|0;i=+h[p+8>>3];p=p+16|0;c[G>>2]=c[p>>2];c[G+4>>2]=c[p+4>>2];c[G+8>>2]=c[p+8>>2];c[G+12>>2]=c[p+12>>2];if(!g){c[a>>2]=0;c[a+4>>2]=j;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break}if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];m=g;f=j;e=i}h[F>>3]=+h[E>>3]-+h[D>>3];EE(r,b,d,J);g=c[r>>2]|0;j=c[r+4>>2]|0;i=+h[r+8>>3];r=r+16|0;c[G>>2]=c[r>>2];c[G+4>>2]=c[r+4>>2];c[G+8>>2]=c[r+8>>2];c[G+12>>2]=c[r+12>>2];if(!g){c[a>>2]=0;c[a+4>>2]=j;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break}if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];m=g;f=j;e=i}h[B>>3]=+h[C>>3]+ +h[d>>3];h[F>>3]=+h[I>>3]+ +h[E>>3];EE(s,b,d,J);g=c[s>>2]|0;j=c[s+4>>2]|0;i=+h[s+8>>3];s=s+16|0;c[G>>2]=c[s>>2];c[G+4>>2]=c[s+4>>2];c[G+8>>2]=c[s+8>>2];c[G+12>>2]=c[s+12>>2];if(!g){c[a>>2]=0;c[a+4>>2]=j;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break}if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];m=g;f=j;e=i}h[F>>3]=+h[E>>3];EE(t,b,d,J);g=c[t>>2]|0;j=c[t+4>>2]|0;i=+h[t+8>>3];t=t+16|0;c[G>>2]=c[t>>2];c[G+4>>2]=c[t+4>>2];c[G+8>>2]=c[t+8>>2];c[G+12>>2]=c[t+12>>2];if(!g){c[a>>2]=0;c[a+4>>2]=j;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break}if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];m=g;f=j;e=i}h[F>>3]=+h[E>>3]-+h[D>>3];EE(u,b,d,J);g=c[u>>2]|0;j=c[u+4>>2]|0;i=+h[u+8>>3];u=u+16|0;c[G>>2]=c[u>>2];c[G+4>>2]=c[u+4>>2];c[G+8>>2]=c[u+8>>2];c[G+12>>2]=c[u+12>>2];if(!g){c[a>>2]=0;c[a+4>>2]=j;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break}if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];f=j;e=i}else g=m;j=(c[J+28>>2]|0)==0;do if(!(c[J+24>>2]|0))if(j){if(c[J+32>>2]|0){w=38;break}if(!((c[J+12>>2]|0)==0&(c[J>>2]|0)==0))w=38}else w=46;else if(j)w=38;else w=46;while(0);b:do if((w|0)==38)if(!(c[J+32>>2]|0)){h[B>>3]=+h[d>>3]-+h[z>>3];p=v+4|0;r=v+8|0;s=v+16|0;m=F;j=E;i=+h[I>>3];c:while(1){while(1){h[m>>3]=+h[j>>3]+i;if(!(+h[B>>3]<=+h[C>>3]+ +h[d>>3])){w=46;break b}EE(v,b,d,J);n=c[v>>2]|0;o=c[p>>2]|0;k=+h[r>>3];c[G>>2]=c[s>>2];c[G+4>>2]=c[s+4>>2];c[G+8>>2]=c[s+8>>2];c[G+12>>2]=c[s+12>>2];if(!n)break c;if(k<e)break;else{m=B;j=B;i=A}}c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];m=B;j=B;i=A;g=n;f=o;e=k}c[a>>2]=0;c[a+4>>2]=o;h[a+8>>3]=k;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break a}else w=46;while(0);d:do if((w|0)==46)if((c[J+12>>2]|0)==0&(c[J>>2]|0)==0){h[B>>3]=+h[d>>3]-+h[z>>3];k=+h[E>>3];n=x+4|0;o=x+8|0;p=x+16|0;i=k;k=+h[I>>3]+k;while(1){h[F>>3]=k;if(!(k>=i-+h[D>>3]))break d;EE(x,b,d,J);j=c[x>>2]|0;m=c[n>>2]|0;i=+h[o>>3];c[G>>2]=c[p>>2];c[G+4>>2]=c[p+4>>2];c[G+8>>2]=c[p+8>>2];c[G+12>>2]=c[p+12>>2];if(!j)break;if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];g=j;f=m;e=i}i=+h[E>>3];k=+h[F>>3]-K}c[a>>2]=0;c[a+4>>2]=m;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break a}while(0);i=+h[d>>3];k=+h[C>>3]+i;h[B>>3]=k;q=+h[D>>3];h[F>>3]=+h[E>>3]-q;j=c[J+4>>2]|0;do if(!(c[J+8>>2]|0)){m=c[J>>2]|0;if(!((j|0)==0&(m|0)==0)){w=59;break}if(c[J+20>>2]|0){j=0;m=0;w=59;break}if(c[J+32>>2]|0){j=0;m=0;w=59}}else{m=c[J>>2]|0;w=59}while(0);e:do if((w|0)==59){f:do if((j|0)==0&(m|0)==0){h[B>>3]=k;p=y+4|0;r=y+8|0;s=y+16|0;m=F;j=E;i=q;g:while(1){while(1){h[m>>3]=+h[j>>3]-i;i=+h[d>>3];if(!(+h[B>>3]>=i-+h[z>>3]))break f;EE(y,b,d,J);n=c[y>>2]|0;o=c[p>>2]|0;k=+h[r>>3];c[G>>2]=c[s>>2];c[G+4>>2]=c[s+4>>2];c[G+8>>2]=c[s+8>>2];c[G+12>>2]=c[s+12>>2];if(!n)break g;if(k<e)break;else{m=B;j=B;i=A}}c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];m=B;j=B;i=A;g=n;f=o;e=k}c[a>>2]=0;c[a+4>>2]=o;h[a+8>>3]=k;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break a}while(0);if(c[J+20>>2]|0)break;if(c[J+32>>2]|0)break;h[B>>3]=+h[C>>3]+i;i=+h[E>>3];n=H+4|0;o=H+8|0;p=H+16|0;k=i;i=i-+h[D>>3];while(1){h[F>>3]=i;if(!(i<=+h[I>>3]+k))break e;EE(H,b,d,J);j=c[H>>2]|0;m=c[n>>2]|0;i=+h[o>>3];c[G>>2]=c[p>>2];c[G+4>>2]=c[p+4>>2];c[G+8>>2]=c[p+8>>2];c[G+12>>2]=c[p+12>>2];if(!j)break;if(i<e){c[L>>2]=c[G>>2];c[L+4>>2]=c[G+4>>2];c[L+8>>2]=c[G+8>>2];c[L+12>>2]=c[G+12>>2];g=j;f=m;e=i}k=+h[E>>3];i=+h[F>>3]+K}c[a>>2]=0;c[a+4>>2]=m;h[a+8>>3]=i;a=a+16|0;c[a>>2]=c[G>>2];c[a+4>>2]=c[G+4>>2];c[a+8>>2]=c[G+8>>2];c[a+12>>2]=c[G+12>>2];break a}while(0);c[a>>2]=g;c[a+4>>2]=f;h[a+8>>3]=e;a=a+16|0;c[a>>2]=c[L>>2];c[a+4>>2]=c[L+4>>2];c[a+8>>2]=c[L+8>>2];c[a+12>>2]=c[L+12>>2]}while(0);l=M;return}function DE(a){a=a|0;lH(c[a+24>>2]|0)|0;_I(a);return}function EE(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0.0,j=0,k=0,m=0,n=0.0,o=0,p=0,q=0,r=0.0,s=0,t=0;t=l;l=l+48|0;q=t+32|0;s=t+16|0;p=t;g=c[e+32>>2]|0;if(!g)ma(96325,96335,382,96354);o=g+16|0;c[p>>2]=c[o>>2];c[p+4>>2]=c[o+4>>2];c[p+8>>2]=c[o+8>>2];c[p+12>>2]=c[o+12>>2];o=d+4|0;m=0;g=0;while(1){if((m|0)>=(c[o>>2]|0))break;j=c[d>>2]|0;k=j+(m*40|0)|0;do if((k|0)!=(e|0)){if(+h[j+(m*40|0)+16>>3]>0.0?+h[j+(m*40|0)+24>>3]>0.0:0)break;g=g+((FE(e,k)|0)!=0&1)|0}while(0);m=m+1|0}GE(e,q);m=c[d+24>>2]|0;m=nH(m,c[m>>2]|0,q)|0;if(!m){c[b>>2]=g;h[b+8>>3]=0.0;s=b+16|0;c[s>>2]=c[p>>2];c[s+4>>2]=c[p+4>>2];c[s+8>>2]=c[p+8>>2];c[s+12>>2]=c[p+12>>2]}else{k=m;i=0.0;while(1){if(!k)break;j=c[(c[k+4>>2]|0)+16>>2]|0;if((j|0)!=(e|0)){HE(j,s);n=+IE(q,s);if(n>0.0){g=g+1|0;i=+JE(e,j,q,n,f)+i}d=c[j+32>>2]|0;if(((d|0)!=0?(a[d+36>>0]|0)!=0:0)?(GE(j,s),r=+IE(q,s),r>0.0):0){g=g+1|0;i=+KE(e,j,q,r,f)+i}}k=c[k>>2]|0}iH(m);c[b>>2]=g;h[b+8>>3]=i;s=b+16|0;c[s>>2]=c[p>>2];c[s+4>>2]=c[p+4>>2];c[s+8>>2]=c[p+8>>2];c[s+12>>2]=c[p+12>>2]}l=t;return}function FE(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0.0,g=0.0;a=c[a+32>>2]|0;if(+h[b+16>>3]==0.0?+h[b+24>>3]==0.0:0){if((((a|0)!=0?(d=+h[b>>3],e=+h[a+16>>3],d>e):0)?d<+h[a>>3]+e:0)?(f=+h[b+8>>3],g=+h[a+24>>3],f>g):0)a=f<+h[a+8>>3]+g&1;else a=0;return a|0}ma(96391,96335,219,96428);return 0}function GE(a,b){a=a|0;b=b|0;var d=0.0,e=0.0;a=c[a+32>>2]|0;e=+h[a+16>>3];c[b>>2]=~~e;d=+h[a+24>>3];c[b+4>>2]=~~d;c[b+8>>2]=~~(+h[a>>3]+e);c[b+12>>2]=~~(+h[a+8>>3]+d);return}function HE(a,b){a=a|0;b=b|0;var d=0.0,e=0.0;e=+h[a>>3];c[b>>2]=~~e;d=+h[a+8>>3];c[b+4>>2]=~~d;c[b+8>>2]=~~(+h[a+16>>3]+e);c[b+12>>2]=~~(+h[a+24>>3]+d);return}function IE(a,b){a=a|0;b=b|0;var d=0.0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0;i=c[a+8>>2]|0;j=c[b>>2]|0;if((((i|0)>=(j|0)?(k=c[a>>2]|0,l=c[b+8>>2]|0,(k|0)<=(l|0)):0)?(e=c[a+12>>2]|0,f=c[b+4>>2]|0,(e|0)>=(f|0)):0)?(g=c[a+4>>2]|0,h=c[b+12>>2]|0,(g|0)<=(h|0)):0)d=(+(c[((e|0)<(h|0)?a:b)+12>>2]|0)-+(c[((g|0)>(f|0)?a:b)+4>>2]|0))*(+(c[((i|0)<(l|0)?a:b)+8>>2]|0)-+(c[((k|0)>(j|0)?a:b)>>2]|0));else d=0.0;return +d}function JE(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=+e;f=f|0;var g=0.0,h=0.0,i=0,j=0;j=l;l=l+16|0;i=j;a=LE(a,b)|0;f=f+(((a|0)<0?5:a)<<2)|0;a=c[f>>2]|0;if(!a){c[f>>2]=b;g=e}else{HE(a,i);g=+IE(d,i);g=g>e?g:0.0;a=c[f>>2]|0;if((c[a+32>>2]|0)!=0?(GE(a,i),h=+IE(d,i),h>e):0)g=h>g?h:g;if(!(g>0.0)){c[f>>2]=b;g=e}}l=j;return +g}function KE(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=+e;f=f|0;var g=0.0,h=0.0,i=0,j=0;j=l;l=l+16|0;i=j;a=LE(a,b)|0;f=f+(((a|0)<0?5:a)<<2)|0;a=c[f>>2]|0;if(!a){c[f>>2]=b;g=e}else{HE(a,i);g=+IE(d,i);g=g>e?g:0.0;a=c[f>>2]|0;if((c[a+32>>2]|0)!=0?(GE(a,i),h=+IE(d,i),h>e):0)g=h>g?h:g;if(!(g>0.0)){c[f>>2]=b;g=e}}l=j;return +g}function LE(b,d){b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0.0,j=0.0,k=0.0;e=c[b+32>>2]|0;f=c[d+32>>2]|0;if((e|0)==(f|0))ma(96370,96335,276,96380);do if((a[e+36>>0]|0)!=0?(a[f+36>>0]|0)!=0:0){j=+h[b>>3];if(j==0.0?+h[b+8>>3]==0.0:0){e=-1;break}k=+h[d>>3];i=+h[d+8>>3];if(!(k==0.0&i==0.0)){g=+h[b+8>>3];if(i<g){if(k<j){e=0;break}e=k>j?2:1;break}e=k<j;if(i>g){if(e){e=6;break}e=k>j?8:7;break}if(!e)if(k>j)e=5;else e=-1;else e=3}else e=-1}else e=-1;while(0);return e|0}function ME(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;k=l;l=l+32|0;d=k+24|0;e=k+16|0;f=k;g=xE(a)|0;h=a+4|0;i=e+4|0;j=a+20|0;b=0;while(1){if((b|0)>=(c[h>>2]|0)){b=0;break}m=vw(32)|0;o=(c[a>>2]|0)+(b*40|0)|0;n=m+12|0;c[m+28>>2]=o;PE(f,o);c[n>>2]=c[f>>2];c[n+4>>2]=c[f+4>>2];c[n+8>>2]=c[f+8>>2];c[n+12>>2]=c[f+12>>2];n=c[n>>2]|0;c[e>>2]=(((c[m+20>>2]|0)-n|0)/2|0)+n;n=c[m+16>>2]|0;c[i>>2]=(((c[m+24>>2]|0)-n|0)/2|0)+n;c[d>>2]=c[e>>2];c[d+4>>2]=c[e+4>>2];c[m+8>>2]=QE(d,g)|0;n=c[j>>2]|0;if(!(bb[c[n>>2]&31](n,m,1)|0)){b=-1;break}else b=b+1|0}l=k;return b|0}function NE(a){a=a|0;var b=0,d=0,e=0;d=a+20|0;e=c[d>>2]|0;b=a+24|0;a=bb[c[e>>2]&31](e,0,128)|0;while(1){if(!a)break;e=c[b>>2]|0;oH(e,a+12|0,c[a+28>>2]|0,e,0)|0;e=c[d>>2]|0;a=bb[c[e>>2]&31](e,a,8)|0}return}function OE(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;e=a+20|0;f=Sl(c[e>>2]|0)|0;d=0;while(1){if(!(Sl(c[e>>2]|0)|0))break;g=c[e>>2]|0;a=c[(c[g+8>>2]|0)+4>>2]|0;if(!a){h=8;break}b=c[(c[g+4>>2]|0)+8>>2]|0;if((b|0)<0)a=c[a+8>>2]|0;else a=a+(0-b)|0;if(!a){h=8;break}bb[c[g>>2]&31](g,a,4096)|0;_I(a);d=d+1|0}if((h|0)==8)ma(96441,96335,616,96444);if((f|0)==(d|0))return;else ma(96456,96335,623,96444)}function PE(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0.0,g=0.0,i=0,j=0,k=0,l=0.0;d=c[b+32>>2]|0;if(!d){e=0.0;f=0.0}else{e=+h[d>>3];f=+h[d+8>>3]}l=+h[b>>3];k=~~+A(+(l-e));g=+h[b+8>>3];j=~~+A(+(g-f));i=~~+N(+(l+e+ +h[b+16>>3]));if((i|0)==2147483647)ma(96468,96335,264,96495);d=~~+N(+(g+f+ +h[b+24>>3]));if((d|0)==2147483647)ma(96505,96335,266,96495);else{c[a>>2]=k;c[a+4>>2]=j;c[a+8>>2]=i;c[a+12>>2]=d;return}}function QE(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;f=0;e=c[a>>2]|0;d=c[a+4>>2]|0;while(1){a=b+-1|0;if((b|0)<=0)break;i=e>>>a&1;b=d>>>a&1;g=b+-1|0;h=g&(e^d);g=g&0-i;f=i<<1|f<<2|i^b;b=a;e=h^e^g;d=h^d^g}return f|0}function RE(b){b=b|0;var d=0,e=0,f=0,g=0;d=rJ(b)|0;if(d>>>0>=(c[42408]|0)>>>0){d=d+11|0;c[42408]=d;d=yw(c[42409]|0,d)|0;c[42409]=d;if(!d)d=0;else e=4}else{d=c[42409]|0;e=4}if((e|0)==4){g=d;while(1){e=a[b>>0]|0;if(!(e<<24>>24))break;f=e&255;if(kK(f)|0)e=(jK(f)|0)&255;a[g>>0]=e;g=g+1|0;b=b+1|0}a[g>>0]=0}return d|0}function SE(b,e,f){b=b|0;e=e|0;f=f|0;var g=0.0,i=0,j=0.0,k=0.0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0.0;F=l;l=l+144|0;s=F+96|0;p=F+80|0;v=F+124|0;t=F+72|0;w=F+64|0;x=F+56|0;C=F+48|0;D=F+40|0;E=F+32|0;y=F+24|0;z=F+16|0;A=F+8|0;B=F;i=F+120|0;m=F+116|0;n=F+112|0;o=F+108|0;c[e+32>>2]=f;r=b;while(1)if((a[r>>0]|0)==32)r=r+1|0;else break;c[o>>2]=255;b=a[r>>0]|0;a:do if(b<<24>>24==35){c[p>>2]=i;c[p+4>>2]=m;c[p+8>>2]=n;c[p+12>>2]=o;if((cM(r,96547,p)|0)<=2){b=a[r>>0]|0;q=12;break}switch(f|0){case 0:{G=+((c[i>>2]|0)>>>0)*.00392156862745098;h[C>>3]=G;g=+((c[m>>2]|0)>>>0)*.00392156862745098;h[D>>3]=g;j=+((c[n>>2]|0)>>>0)*.00392156862745098;h[E>>3]=j;k=+((c[o>>2]|0)>>>0)*.00392156862745098;TE(G,g,j,t,w,x);h[e>>3]=+h[t>>3];h[e+8>>3]=+h[w>>3];h[e+16>>3]=+h[x>>3];h[e+24>>3]=k;b=0;break a}case 1:{a[e>>0]=c[i>>2];a[e+1>>0]=c[m>>2];a[e+2>>0]=c[n>>2];a[e+3>>0]=c[o>>2];b=0;break a}case 3:{j=+((c[i>>2]|0)>>>0)*.00392156862745098;h[C>>3]=j;k=+((c[m>>2]|0)>>>0)*.00392156862745098;h[D>>3]=k;G=+((c[n>>2]|0)>>>0)*.00392156862745098;h[E>>3]=G;UE(j,k,G,y,z,A,B);a[e>>0]=~~+h[y>>3]*255;a[e+1>>0]=~~+h[z>>3]*255;a[e+2>>0]=~~+h[A>>3]*255;a[e+3>>0]=~~+h[B>>3]*255;b=0;break a}case 2:{c[e>>2]=(((c[i>>2]|0)*65535|0)>>>0)/255|0;c[e+4>>2]=(((c[m>>2]|0)*65535|0)>>>0)/255|0;c[e+8>>2]=(((c[n>>2]|0)*65535|0)>>>0)/255|0;c[e+12>>2]=(((c[o>>2]|0)*65535|0)>>>0)/255|0;b=0;break a}case 4:{h[e>>3]=+((c[i>>2]|0)>>>0)*.00392156862745098;h[e+8>>3]=+((c[m>>2]|0)>>>0)*.00392156862745098;h[e+16>>3]=+((c[n>>2]|0)>>>0)*.00392156862745098;h[e+24>>3]=+((c[o>>2]|0)>>>0)*.00392156862745098;b=0;break a}default:{b=0;break a}}}else q=12;while(0);b:do if((q|0)==12){if(!(b<<24>>24!=46?((b&255)+-48|0)>>>0>=10:0)){b=rJ(r)|0;if(b>>>0>=(c[42410]|0)>>>0){b=b+11|0;c[42410]=b;b=yw(c[42411]|0,b)|0;c[42411]=b;if(!b){b=-1;break}}else b=c[42411]|0;m=b;i=r;c:while(1){n=i+1|0;i=a[i>>0]|0;switch(i<<24>>24){case 0:break c;case 44:{i=32;break}default:{}}a[m>>0]=i;m=m+1|0;i=n}a[m>>0]=0;c[s>>2]=t;c[s+4>>2]=w;c[s+8>>2]=x;if((cM(b,96561,s)|0)==3){k=+h[t>>3];k=k<1.0?k:1.0;k=k>0.0?k:0.0;h[t>>3]=k;j=+h[w>>3];j=j<1.0?j:1.0;j=j>0.0?j:0.0;h[w>>3]=j;g=+h[x>>3];g=g<1.0?g:1.0;g=g>0.0?g:0.0;h[x>>3]=g;switch(f|0){case 0:{h[e>>3]=k;h[e+8>>3]=j;h[e+16>>3]=g;h[e+24>>3]=1.0;b=0;break b}case 1:{VE(k,j,g,C,D,E);a[e>>0]=~~(+h[C>>3]*255.0);a[e+1>>0]=~~(+h[D>>3]*255.0);a[e+2>>0]=~~(+h[E>>3]*255.0);a[e+3>>0]=-1;b=0;break b}case 3:{VE(k,j,g,C,D,E);UE(+h[C>>3],+h[D>>3],+h[E>>3],y,z,A,B);a[e>>0]=~~+h[y>>3]*255;a[e+1>>0]=~~+h[z>>3]*255;a[e+2>>0]=~~+h[A>>3]*255;a[e+3>>0]=~~+h[B>>3]*255;b=0;break b}case 2:{VE(k,j,g,C,D,E);c[e>>2]=~~(+h[C>>3]*65535.0);c[e+4>>2]=~~(+h[D>>3]*65535.0);c[e+8>>2]=~~(+h[E>>3]*65535.0);c[e+12>>2]=65535;b=0;break b}case 4:{VE(k,j,g,C,D,E);h[e>>3]=+h[C>>3];h[e+8>>3]=+h[D>>3];h[e+16>>3]=+h[E>>3];h[e+24>>3]=1.0;b=0;break b}default:{b=0;break b}}}}i=WE(r)|0;c[v>>2]=i;if(!i)b=-1;else{b=c[42412]|0;if(!(((b|0)!=0?(u=c[b>>2]|0,(a[u>>0]|0)==(a[i>>0]|0)):0)?(xJ(u,i)|0)==0:0)){b=vM(v,24932,2491,12,38)|0;c[42412]=b;if(!b)switch(f|0){case 0:{c[e>>2]=0;c[e+4>>2]=0;c[e+8>>2]=0;c[e+12>>2]=0;c[e+16>>2]=0;c[e+20>>2]=0;h[e+24>>3]=1.0;b=1;break b}case 1:{a[e+2>>0]=0;a[e+1>>0]=0;a[e>>0]=0;a[e+3>>0]=-1;b=1;break b}case 3:{c[e>>2]=0;b=1;break b}case 2:{c[e+8>>2]=0;c[e+4>>2]=0;c[e>>2]=0;c[e+12>>2]=65535;b=1;break b}case 4:{c[e>>2]=0;c[e+4>>2]=0;c[e+8>>2]=0;c[e+12>>2]=0;c[e+16>>2]=0;c[e+20>>2]=0;h[e+24>>3]=1.0;b=1;break b}default:{b=1;break b}}}switch(f|0){case 0:{h[e>>3]=+(d[b+4>>0]|0)*.00392156862745098;h[e+8>>3]=+(d[b+5>>0]|0)*.00392156862745098;h[e+16>>3]=+(d[b+6>>0]|0)*.00392156862745098;h[e+24>>3]=+(d[b+10>>0]|0)*.00392156862745098;b=0;break b}case 1:{a[e>>0]=a[b+7>>0]|0;a[e+1>>0]=a[b+8>>0]|0;a[e+2>>0]=a[b+9>>0]|0;a[e+3>>0]=a[b+10>>0]|0;b=0;break b}case 3:{j=+(d[b+7>>0]|0)*.00392156862745098;h[C>>3]=j;k=+(d[b+8>>0]|0)*.00392156862745098;h[D>>3]=k;G=+(d[b+9>>0]|0)*.00392156862745098;h[E>>3]=G;UE(j,k,G,y,z,A,B);a[e>>0]=~~+h[y>>3]*255;a[e+1>>0]=~~+h[z>>3]*255;a[e+2>>0]=~~+h[A>>3]*255;a[e+3>>0]=~~+h[B>>3]*255;b=0;break b}case 2:{c[e>>2]=(d[b+7>>0]|0)*257;c[e+4>>2]=(d[b+8>>0]|0)*257;c[e+8>>2]=(d[b+9>>0]|0)*257;c[e+12>>2]=(d[b+10>>0]|0)*257;b=0;break b}case 4:{h[e>>3]=+(d[b+7>>0]|0)*.00392156862745098;h[e+8>>3]=+(d[b+8>>0]|0)*.00392156862745098;h[e+16>>3]=+(d[b+9>>0]|0)*.00392156862745098;h[e+24>>3]=+(d[b+10>>0]|0)*.00392156862745098;b=0;break b}default:{b=0;break b}}}}while(0);l=F;return b|0}function TE(a,b,c,d,e,f){a=+a;b=+b;c=+c;d=d|0;e=e|0;f=f|0;var g=0.0,i=0.0,j=0.0,k=0.0,l=0.0,m=0.0;i=b<c?b:c;m=b>c?b:c;m=m<a?a:m;i=m-(i>a?a:i);g=i/m;if(m>0.0)if(g>0.0){j=(m-a)/i;k=(m-b)/i;l=(m-c)/i;do if(!(m==a)){if(m==b){a=j+2.0-l;break}if(m==c)a=k+4.0-j;else a=0.0}else a=(b-c)/i;while(0);a=a*60.0;if(a<0.0)a=a+360.0}else a=0.0;else{g=0.0;a=0.0}h[d>>3]=a*.002777777777777778;h[f>>3]=m;h[e>>3]=g;return}function UE(a,b,c,d,e,f,g){a=+a;b=+b;c=+c;d=d|0;e=e|0;f=f|0;g=g|0;h[d>>3]=1.0-a;h[e>>3]=1.0-b;h[f>>3]=1.0-c;b=+h[d>>3];c=+h[e>>3];c=b<c?b:c;h[g>>3]=c;b=+h[f>>3];c=b<c?b:c;h[g>>3]=c;h[d>>3]=+h[d>>3]-c;h[e>>3]=+h[e>>3]-+h[g>>3];h[f>>3]=+h[f>>3]-+h[g>>3];return}function VE(a,b,c,d,e,f){a=+a;b=+b;c=+c;d=d|0;e=e|0;f=f|0;var g=0.0,i=0.0,j=0.0,k=0,l=0;a:do if(!(b<=0.0)){i=!(a>=1.0)?a*6.0:0.0;l=~~i;i=i-+(l|0);a=(1.0-b)*c;j=(1.0-i*b)*c;b=(1.0-(1.0-i)*b)*c;switch(l|0){case 0:{g=a;i=b;a=c;k=8;break a}case 1:{g=a;i=c;a=j;k=8;break a}case 2:{g=b;i=c;k=8;break a}case 3:{g=c;i=j;k=8;break a}case 4:{g=c;i=a;a=b;k=8;break a}case 5:{g=j;i=a;a=c;k=8;break a}default:break a}}else{g=c;i=c;a=c;k=8}while(0);if((k|0)==8){h[d>>3]=a;h[e>>3]=i;h[f>>3]=g}return}function WE(b){b=b|0;var d=0,e=0;d=a[b>>0]|0;if(((d<<24>>24!=98?(e=b+1|0,!(d<<24>>24==119|(VJ(e,122058,4)|0)==0)):0)?!(d<<24>>24==108|(VJ(e,122063,4)|0)==0):0)?(VJ(e,122068,8)|0)!=0:0){do if(d<<24>>24==47){d=WJ(e,47)|0;if(!d)b=e;else{if((a[e>>0]|0)!=47){e=(pK(122077,e,4)|0)==0;b=e?d+1|0:b;break}d=c[42413]|0;if((d|0?a[d>>0]|0:0)?pK(122077,d,3)|0:0){b=YE(d,b+2|0)|0;break}b=b+2|0}}else{d=c[42413]|0;if(((d|0)!=0?(a[d>>0]|0)!=0:0)?(pK(122077,d,3)|0)!=0:0)b=YE(d,b)|0}while(0);b=RE(b)|0}return b|0}function XE(a,b){a=a|0;b=b|0;return iK(c[a>>2]|0,c[b>>2]|0)|0}function YE(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;f=l;l=l+16|0;e=f;g=rJ(a)|0;g=(rJ(b)|0)+g|0;d=g+13|0;if((g+3|0)>>>0<(c[42414]|0)>>>0)d=c[42415]|0;else{c[42414]=d;d=yw(c[42415]|0,d)|0;c[42415]=d}c[e>>2]=a;c[e+4>>2]=b;pL(d,122082,e)|0;l=f;return c[42415]|0}function ZE(a){a=a|0;c[42413]=a;return}function _E(a,b,c,d,e){a=a|0;b=+b;c=+c;d=+d;e=+e;var f=0,g=0;f=l;l=l+208|0;g=f;$E(g,+h[a>>3],+h[a+8>>3],b,c,d,e);a=aF(g)|0;l=f;return a|0}function $E(a,b,c,d,e,f,g){a=a|0;b=+b;c=+c;d=+d;e=+e;f=+f;g=+g;var i=0,j=0;h[a>>3]=b;h[a+8>>3]=c;j=a+16|0;h[j>>3]=d;i=a+24|0;h[i>>3]=e;h[a+32>>3]=0.0;c=+K(+(+F(+f)/e),+(+E(+f)/d));h[a+56>>3]=c;e=+K(+(+F(+g)/e),+(+E(+g)/d));h[a+40>>3]=1.0;h[a+48>>3]=0.0;e=e-+A(+((e-c)*.15915494309189535))*6.283185307179586;h[a+64>>3]=g-f>3.141592653589793&e-c<3.141592653589793?e+6.283185307179586:e;gF(a);hF(a);iF(a);g=+h[j>>3];g=(g-+h[i>>3])/g;h[a+168>>3]=g;h[a+176>>3]=(2.0-g)*g;g=1.0-g;h[a+184>>3]=g;h[a+192>>3]=g*g;return}function aF(a){a=a|0;var b=0,c=0.0,d=0,e=0.0,f=0.0,g=0.0,i=0.0,j=0,k=0,l=0,m=0,n=0.0,o=0.0,p=0,q=0,r=0.0,s=0.0,t=0.0,u=0.0,v=0.0,w=0.0,x=0.0,y=0.0,z=0.0;q=vw(8)|0;f=+h[a+56>>3];e=+h[a+64>>3]-f;p=1;b=0;while(1){o=e/+(p|0);if(!(b<<24>>24==0&(p|0)<1024))break;a:do if(!(o<=1.5707963267948966))b=0;else{c=f;d=0;b=1;while(1){if(!(b<<24>>24!=0&(d|0)<(p|0)))break a;n=c+o;b=+bF(a,c,n)<=1.0e-05&1;c=n;d=d+1|0}}while(0);p=p<<1}i=+E(+f);u=+F(+f);d=a+16|0;s=+h[d>>3];v=s*i;j=a+24|0;c=+h[j>>3];g=c*u;i=c*i;c=+h[a>>3];k=a+40|0;t=+h[k>>3];l=a+48|0;r=+h[l>>3];e=t*v+c-r*g;m=a+8|0;n=+h[m>>3];g=r*v+t*g+n;s=-(u*s);cF(q,c,n);dF(q,e,g);n=+G(+(o*.5));n=+F(+o)*.3333333333333333*(+C(+(n*n*3.0+4.0))+-1.0);c=f;f=g;g=r*s+t*i;i=t*s-r*i;b=0;while(1){if((b|0)>=(p|0))break;r=c+o;u=+E(+r);v=+F(+r);x=+h[d>>3];z=x*u;w=+h[j>>3];t=w*v;u=w*u;w=+h[k>>3];y=+h[l>>3];s=w*z+ +h[a>>3]-y*t;t=y*z+w*t+ +h[m>>3];x=-(v*x);v=w*x-y*u;u=y*x+w*u;eF(q,e+i*n,f+g*n,s-v*n,t-u*n,s,t);c=r;e=s;f=t;g=u;i=v;b=b+1|0}fF(q);return q|0}function bF(a,b,c){a=a|0;b=+b;c=+c;var d=0.0,e=0.0,f=0.0,g=0.0,i=0.0;d=c+b;i=+h[a+16>>3];e=+h[a+24>>3]/i;g=+E(+d);f=+E(+(d*2.0));d=+E(+(d*3.0));a=e<.25?10328:10584;return +(((e*.001+4.98)*e+.207)/(e+.0067)*i*+L(+(((+h[a+32>>3]*e+ +h[a+40>>3])*e+ +h[a+48>>3])/(+h[a+56>>3]+e)*g+((+h[a>>3]*e+ +h[a+8>>3])*e+ +h[a+16>>3])/(+h[a+24>>3]+e)+((+h[a+64>>3]*e+ +h[a+72>>3])*e+ +h[a+80>>3])/(+h[a+88>>3]+e)*f+((+h[a+96>>3]*e+ +h[a+104>>3])*e+ +h[a+112>>3])/(+h[a+120>>3]+e)*d+(((+h[a+160>>3]*e+ +h[a+168>>3])*e+ +h[a+176>>3])/(+h[a+184>>3]+e)*g+((+h[a+128>>3]*e+ +h[a+136>>3])*e+ +h[a+144>>3])/(+h[a+152>>3]+e)+((+h[a+192>>3]*e+ +h[a+200>>3])*e+ +h[a+208>>3])/(+h[a+216>>3]+e)*f+((+h[a+224>>3]*e+ +h[a+232>>3])*e+ +h[a+240>>3])/(+h[a+248>>3]+e)*d)*(c-b))))}function cF(a,b,d){a=a|0;b=+b;d=+d;var e=0;c[42416]=100;e=vw(1600)|0;c[a>>2]=e;h[e>>3]=b;h[e+8>>3]=d;c[a+4>>2]=1;return}function dF(a,b,d){a=a|0;b=+b;d=+d;var e=0,f=0;f=c[a>>2]|0;e=(c[a+4>>2]|0)+-1|0;eF(a,+h[f+(e<<4)>>3],+h[f+(e<<4)+8>>3],b,d,b,d);return}function eF(a,b,d,e,f,g,i){a=a|0;b=+b;d=+d;e=+e;f=+f;g=+g;i=+i;var j=0,k=0,l=0,m=0;l=a+4|0;j=c[l>>2]|0;k=c[42416]|0;if((j+3|0)<(k|0))a=c[a>>2]|0;else{c[42416]=k<<1;j=aJ(c[a>>2]|0,k<<5)|0;c[a>>2]=j;a=j;j=c[l>>2]|0}h[a+(j<<4)>>3]=b;m=j+1|0;h[a+(j<<4)+8>>3]=d;h[a+(m<<4)>>3]=e;k=j+2|0;h[a+(m<<4)+8>>3]=f;h[a+(k<<4)>>3]=g;c[l>>2]=j+3;h[a+(k<<4)+8>>3]=i;return}function fF(a){a=a|0;var b=0;b=c[a>>2]|0;dF(a,+h[b>>3],+h[b+8>>3]);c[a>>2]=aJ(c[a>>2]|0,c[a+4>>2]<<4)|0;c[42416]=0;return}function gF(a){a=a|0;var b=0.0,c=0.0,d=0.0,e=0.0;d=+h[a+16>>3];b=+h[a+24>>3];b=+C(+(d*d-b*b));d=b*+h[a+40>>3];b=b*+h[a+48>>3];e=+h[a>>3];h[a+104>>3]=e-d;c=+h[a+8>>3];h[a+112>>3]=c-b;h[a+120>>3]=e+d;h[a+128>>3]=c+b;return}function hF(a){a=a|0;var b=0.0,c=0.0,d=0.0,e=0.0,f=0.0,g=0.0,i=0.0,j=0.0;d=+h[a+16>>3];i=+h[a+56>>3];j=+E(+i)*d;b=+h[a+24>>3];i=+F(+i)*b;g=+h[a+64>>3];d=+E(+g)*d;b=+F(+g)*b;g=+h[a>>3];c=+h[a+40>>3];e=+h[a+48>>3];h[a+72>>3]=c*j+g-e*i;f=+h[a+8>>3];h[a+80>>3]=e*j+f+c*i;h[a+88>>3]=g+c*d-e*b;h[a+96>>3]=f+e*d+c*b;return}function iF(a){a=a|0;var b=0.0,c=0.0,d=0.0,e=0.0,f=0.0,g=0.0,i=0.0,j=0.0,k=0.0,l=0.0,m=0.0,n=0;k=+h[a+24>>3];l=+h[a+16>>3];e=k/l;m=+h[a+48>>3];n=+B(+m)<.1;j=+h[a+40>>3];do if(n){b=m/j;c=+J(+(b*e));d=-c;if(j<0.0){b=+J(+(b/e));e=d;d=3.141592653589793-c;c=4.71238898038469-b;b=1.5707963267948966-b;break}else{b=+J(+(b/e));e=-3.141592653589793-c;c=1.5707963267948966-b;b=-1.5707963267948966-b;break}}else{b=j/m;c=+J(+(b/e));d=c+1.5707963267948966;if(m<0.0){b=+J(+(b*e));e=c+-1.5707963267948966;c=b+3.141592653589793;break}else{b=+J(+(b*e));e=d;d=c+4.71238898038469;c=b;b=b+-3.141592653589793;break}}while(0);g=+h[a+56>>3];e=e-+A(+((e-g)*.15915494309189535))*6.283185307179586;b=b-+A(+((b-g)*.15915494309189535))*6.283185307179586;f=d-+A(+((d-g)*.15915494309189535))*6.283185307179586;g=c-+A(+((c-g)*.15915494309189535))*6.283185307179586;i=+h[a+64>>3];if(!(e<=i)){e=+h[a+72>>3];c=+h[a+88>>3];c=e<c?e:c}else c=+E(+e)*l*j+ +h[a>>3]-k*+F(+e)*m;h[a+136>>3]=c;if(!(b<=i)){e=+h[a+80>>3];d=+h[a+96>>3];d=e<d?e:d}else d=+E(+b)*l*m+ +h[a+8>>3]+ +F(+b)*k*j;h[a+144>>3]=d;if(!(f<=i)){f=+h[a+72>>3];b=+h[a+88>>3];b=f>b?f:b}else b=+E(+f)*l*j+ +h[a>>3]-k*+F(+f)*m;h[a+152>>3]=b-c;if(!(g<=i)){m=+h[a+80>>3];b=+h[a+96>>3];b=m>b?m:b}else b=+E(+g)*l*m+ +h[a+8>>3]+ +F(+g)*k*j;h[a+160>>3]=b-d;return}function jF(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0,j=0,k=0.0,m=0,n=0;n=l;l=l+80|0;m=n;kF(b);k=+h[e+56>>3];g=+h[e+64>>3];switch(a[e+80>>0]|0){case 116:{g=(+h[e+48>>3]-+lF(d))*.5+g;f=4;break}case 98:{g=g-(+h[e+48>>3]-+lF(d))*.5;f=4;break}default:{}}if((f|0)==4)g=g+-1.0;h[m>>3]=k;h[m+8>>3]=g;c[m+20>>2]=c[e+8>>2];c[m+16>>2]=c[e+4>>2];h[m+32>>3]=+h[e+16>>3];j=b+16|0;f=Im(c[(c[j>>2]|0)+8>>2]|0,122089)|0;e=m+56|0;c[e>>2]=f;i=m+60|0;c[i>>2]=c[(c[j>>2]|0)+212>>2];j=m+64|0;a[j>>0]=0;if(!((f|0)!=0?(a[f>>0]|0)!=0:0))c[e>>2]=122100;if((a[d+4>>0]|0)==1){e=c[d>>2]|0;FD(b,c[(c[b>>2]|0)+336>>2]|0);f=c[e+24>>2]|0;if(!f)BD(b,122106);else BD(b,f);nF(b,e,m);if(a[j>>0]|0)_I(c[i>>2]|0)}else mF(b,c[d>>2]|0,m);oF(b);l=n;return}function kF(a){a=a|0;var d=0,e=0,f=0;d=Vt(a)|0;e=c[d>>2]|0;a=c[e+4>>2]|0;c[d+4>>2]=a;c[d+12>>2]=c[e+12>>2];switch(a|0){case 2:{a=e+8|0;f=6;break}case 0:{a=e+8|0;f=6;break}case 1:{a=e+8|0;f=6;break}case 3:{a=e+8|0;f=6;break}default:{}}if((f|0)==6)c[d+8>>2]=c[a>>2];c[d+208>>2]=c[e+208>>2];c[d+228>>2]=c[e+228>>2];c[d+244>>2]=c[e+244>>2];f=d+260|0;b[f>>1]=b[f>>1]&-2|b[e+260>>1]&1;return}function lF(b){b=b|0;var d=0.0,e=0,f=0;switch(a[b+4>>0]|0){case 1:{e=c[b>>2]|0;b=e+72|0;e=e+56|0;f=5;break}case 3:{e=c[b>>2]|0;b=e+24|0;e=e+8|0;f=5;break}case 2:{e=c[b>>2]|0;b=e+32|0;e=e+16|0;f=5;break}default:d=0.0}if((f|0)==5)d=+h[b>>3]-+h[e>>3];return +d}function mF(d,e,f){d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0.0,p=0.0,q=0,r=0,s=0;n=l;l=l+96|0;j=n+64|0;i=n+32|0;g=n+16|0;k=n;m=b[e+4>>1]|0;if(m<<16>>16>=1){r=e+8|0;p=+h[e+24>>3];o=+h[r>>3];h[k>>3]=(o+p)*.5+ +h[f>>3];h[k+8>>3]=(+h[e+16>>3]+ +h[e+32>>3])*.5+ +h[f+8>>3];q=c[e>>2]|0;s=f+16|0;f=a[e+6>>0]|0;c[g>>2]=c[k>>2];c[g+4>>2]=c[k+4>>2];c[g+8>>2]=c[k+8>>2];c[g+12>>2]=c[k+12>>2];c[i>>2]=c[s>>2];c[i+4>>2]=c[s+4>>2];c[i+8>>2]=c[s+8>>2];c[i+12>>2]=c[s+12>>2];c[i+16>>2]=c[s+16>>2];c[i+20>>2]=c[s+20>>2];c[i+24>>2]=c[s+24>>2];c[i+28>>2]=c[s+28>>2];c[j>>2]=c[r>>2];c[j+4>>2]=c[r+4>>2];c[j+8>>2]=c[r+8>>2];c[j+12>>2]=c[r+12>>2];c[j+16>>2]=c[r+16>>2];c[j+20>>2]=c[r+20>>2];c[j+24>>2]=c[r+24>>2];c[j+28>>2]=c[r+28>>2];AF(d,m<<16>>16,q,g,(p-o)*.5,i,j,f)}l=n;return}function nF(e,f,g){e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0.0,n=0.0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0;y=l;l=l+176|0;t=y+96|0;v=y+64|0;w=y+136|0;p=y;q=y+128|0;r=f+48|0;c[v>>2]=c[r>>2];c[v+4>>2]=c[r+4>>2];c[v+8>>2]=c[r+8>>2];c[v+12>>2]=c[r+12>>2];c[v+16>>2]=c[r+16>>2];c[v+20>>2]=c[r+20>>2];c[v+24>>2]=c[r+24>>2];c[v+28>>2]=c[r+28>>2];m=+h[g>>3];n=+h[g+8>>3];r=f+84|0;i=c[r>>2]|0;if(!(c[f>>2]|0))x=(c[f+8>>2]|0)!=0;else x=1;u=f+108|0;j=c[u>>2]|0;if(j|0)pF(g,j,167296);h[v>>3]=+h[v>>3]+m;s=v+16|0;h[s>>3]=+h[s>>3]+m;s=v+8|0;h[s>>3]=+h[s>>3]+n;s=v+24|0;h[s>>3]=+h[s>>3]+n;if(x?(c[e+152>>2]&4|0)==0:0){c[t>>2]=c[v>>2];c[t+4>>2]=c[v+4>>2];c[t+8>>2]=c[v+8>>2];c[t+12>>2]=c[v+12>>2];c[t+16>>2]=c[v+16>>2];c[t+20>>2]=c[v+20>>2];c[t+24>>2]=c[v+24>>2];c[t+28>>2]=c[v+28>>2];s=qF(e,g,f,t,w)|0}else s=0;o=f+42|0;j=b[o>>1]|0;if(!(j&32)){k=c[f+20>>2]|0;if(k){j=rF(e,k,c[f+28>>2]|0,j&65535,q)|0;if(!(b[o>>1]&4)){c[t>>2]=c[v>>2];c[t+4>>2]=c[v+4>>2];c[t+8>>2]=c[v+8>>2];c[t+12>>2]=c[v+12>>2];c[t+16>>2]=c[v+16>>2];c[t+20>>2]=c[v+20>>2];c[t+24>>2]=c[v+24>>2];c[t+28>>2]=c[v+28>>2];ID(e,t,j)}else{o=d[f+33>>0]|0;c[t>>2]=c[v>>2];c[t+4>>2]=c[v+4>>2];c[t+8>>2]=c[v+8>>2];c[t+12>>2]=c[v+12>>2];c[t+16>>2]=c[v+16>>2];c[t+20>>2]=c[v+20>>2];c[t+24>>2]=c[v+24>>2];c[t+28>>2]=c[v+28>>2];yy(e,sF(p,t,o)|0,4,4,j)}_I(c[q>>2]|0)}while(1){j=c[i>>2]|0;if(!j)break;tF(e,j,g);i=i+4|0}i=c[r>>2]|0;OD(e,1.0);j=f+24|0;while(1){k=i+4|0;i=c[i>>2]|0;if(!i)break;if(!(a[i+100>>0]|0)){i=k;continue}uF(e,i,g,c[j>>2]|0,c[k>>2]|0);i=k}if(a[f+33>>0]|0){c[t>>2]=c[v>>2];c[t+4>>2]=c[v+4>>2];c[t+8>>2]=c[v+8>>2];c[t+12>>2]=c[v+12>>2];c[t+16>>2]=c[v+16>>2];c[t+20>>2]=c[v+20>>2];c[t+24>>2]=c[v+24>>2];c[t+28>>2]=c[v+28>>2];vF(e,f,t)}}if(s|0)wF(e,w);if((x?c[e+152>>2]&4|0:0)?(c[t>>2]=c[v>>2],c[t+4>>2]=c[v+4>>2],c[t+8>>2]=c[v+8>>2],c[t+12>>2]=c[v+12>>2],c[t+16>>2]=c[v+16>>2],c[t+20>>2]=c[v+20>>2],c[t+24>>2]=c[v+24>>2],c[t+28>>2]=c[v+28>>2],qF(e,g,f,t,w)|0):0)wF(e,w);if(c[u>>2]|0)xF(g,167296);l=y;return}function oF(a){a=a|0;var b=0;b=c[a+16>>2]|0;c[b+208>>2]=0;c[b+228>>2]=0;c[b+244>>2]=0;c[b+212>>2]=0;Wt(a);return}function pF(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0,g=0,i=0;i=a+16|0;f=c[i>>2]|0;if(f|0){if(!(c[b>>2]|0)){f=0;g=d}else{c[d>>2]=f;f=c[b>>2]|0;g=i}c[g>>2]=f}f=c[a+20>>2]|0;if(f|0){g=b+4|0;if(!(c[g>>2]|0)){f=0;g=d}else{c[d+4>>2]=f;f=c[g>>2]|0;g=i}c[g+4>>2]=f}e=+h[a+32>>3];if(e>=0.0){f=b+16|0;if(!(+h[f>>3]>=0.0))e=-1.0;else{h[d+16>>3]=e;e=+h[f>>3];d=i}h[d+16>>3]=e}return}function qF(d,e,f,g,h){d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;var i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+224|0;n=u+8|0;k=u;t=u+40|0;j=u+184|0;i=u+56|0;m=c[d+16>>2]|0;o=m+208|0;c[h>>2]=c[o>>2];p=m+228|0;c[h+4>>2]=c[p>>2];q=m+244|0;c[h+8>>2]=c[q>>2];r=m+212|0;c[h+12>>2]=c[r>>2];s=m+260|0;a[h+16>>0]=(b[s>>1]<<15&65535)<<16>>16>>15;h=c[f+16>>2]|0;if((h|0)!=0?(a[h>>0]|0)!=0:0)i=0;else{cm(t,128,i);i=e+60|0;h=c[i>>2]|0;if(!h){h=GL(Yt(d,c[m+8>>2]|0,t)|0)|0;c[i>>2]=h;a[e+64>>0]=1}fm(t,h)|0;i=c[42417]|0;c[42417]=i+1;c[k>>2]=i;pL(j,122183,k)|0;fm(t,j)|0;i=t+4|0;h=c[i>>2]|0;if(h>>>0>=(c[t+8>>2]|0)>>>0){dm(t,1)|0;h=c[i>>2]|0}a[h>>0]=0;h=c[t>>2]|0;c[i>>2]=h;i=1}h=Xt(d,0,c[f>>2]|0,c[f+12>>2]|0,c[f+8>>2]|0,h,c[m+8>>2]|0)|0;if(i)gm(t);do if(h|0){if((c[o>>2]|0)==0?(b[s>>1]&1)==0:0)break;c[n>>2]=c[g>>2];c[n+4>>2]=c[g+4>>2];c[n+8>>2]=c[g+8>>2];c[n+12>>2]=c[g+12>>2];c[n+16>>2]=c[g+16>>2];c[n+20>>2]=c[g+20>>2];c[n+24>>2]=c[g+24>>2];c[n+28>>2]=c[g+28>>2];du(d,n);wD(d,c[o>>2]|0,c[p>>2]|0,c[q>>2]|0,c[r>>2]|0)}while(0);l=u;return h|0}function rF(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var h=0.0,i=0,j=0;j=l;l=l+16|0;i=j;if(!((xv(b,f,i)|0)<<24>>24)){DD(a,b);b=1}else{DD(a,c[f>>2]|0);b=c[f+4>>2]|0;h=+g[i>>2];if(!b)ED(a,122106,d,h);else ED(a,b,d,h);b=e>>>1&1|2}BD(a,122171);l=j;return b|0}function sF(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0.0,g=0.0,i=0.0,j=0.0;c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];e=a+32|0;b=b+16|0;c[e>>2]=c[b>>2];c[e+4>>2]=c[b+4>>2];c[e+8>>2]=c[b+8>>2];c[e+12>>2]=c[b+12>>2];if((d|0)>1){j=+(d|0)*.5;i=+h[a>>3]+j;h[a>>3]=i;d=a+8|0;g=+h[d>>3]+j;h[d>>3]=g;f=+h[e>>3]-j;h[e>>3]=f;e=a+40|0;j=+h[e>>3]-j;h[e>>3]=j}else{f=+h[e>>3];g=+h[a+8>>3];i=+h[a>>3];j=+h[a+40>>3]}h[a+16>>3]=f;h[a+24>>3]=g;h[a+48>>3]=i;h[a+56>>3]=j;return a|0}function tF(e,f,g){e=e|0;f=f|0;g=g|0;var i=0,j=0.0,k=0.0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0;v=l;l=l+176|0;r=v+96|0;s=v+136|0;t=v+64|0;p=v;q=v+128|0;u=f+48|0;c[t>>2]=c[u>>2];c[t+4>>2]=c[u+4>>2];c[t+8>>2]=c[u+8>>2];c[t+12>>2]=c[u+12>>2];c[t+16>>2]=c[u+16>>2];c[t+20>>2]=c[u+20>>2];c[t+24>>2]=c[u+24>>2];c[t+28>>2]=c[u+28>>2];j=+h[g>>3];k=+h[g+8>>3];if(!(c[f>>2]|0))u=(c[f+8>>2]|0)!=0;else u=1;h[t>>3]=+h[t>>3]+j;o=t+16|0;h[o>>3]=+h[o>>3]+j;o=t+8|0;h[o>>3]=+h[o>>3]+k;o=t+24|0;h[o>>3]=+h[o>>3]+k;if(u?(c[e+152>>2]&4|0)==0:0){c[r>>2]=c[t>>2];c[r+4>>2]=c[t+4>>2];c[r+8>>2]=c[t+8>>2];c[r+12>>2]=c[t+12>>2];c[r+16>>2]=c[t+16>>2];c[r+20>>2]=c[t+20>>2];c[r+24>>2]=c[t+24>>2];c[r+28>>2]=c[t+28>>2];o=qF(e,g,f,r,s)|0}else o=0;n=f+42|0;i=b[n>>1]|0;a:do if(!(i&32)){m=c[f+20>>2]|0;if(m|0){i=rF(e,m,c[f+28>>2]|0,i&65535,q)|0;if(!(b[n>>1]&4)){c[r>>2]=c[t>>2];c[r+4>>2]=c[t+4>>2];c[r+8>>2]=c[t+8>>2];c[r+12>>2]=c[t+12>>2];c[r+16>>2]=c[t+16>>2];c[r+20>>2]=c[t+20>>2];c[r+24>>2]=c[t+24>>2];c[r+28>>2]=c[t+28>>2];ID(e,r,i)}else{n=d[f+33>>0]|0;c[r>>2]=c[t>>2];c[r+4>>2]=c[t+4>>2];c[r+8>>2]=c[t+8>>2];c[r+12>>2]=c[t+12>>2];c[r+16>>2]=c[t+16>>2];c[r+20>>2]=c[t+20>>2];c[r+24>>2]=c[t+24>>2];c[r+28>>2]=c[t+28>>2];yy(e,sF(p,r,n)|0,4,4,i)}_I(c[q>>2]|0)}if(a[f+33>>0]|0){c[r>>2]=c[t>>2];c[r+4>>2]=c[t+4>>2];c[r+8>>2]=c[t+8>>2];c[r+12>>2]=c[t+12>>2];c[r+16>>2]=c[t+16>>2];c[r+20>>2]=c[t+20>>2];c[r+24>>2]=c[t+24>>2];c[r+28>>2]=c[t+28>>2];vF(e,f,r)}i=f+88|0;switch(a[f+92>>0]|0){case 1:{nF(e,c[i>>2]|0,g);break a}case 3:{zF(e,c[i>>2]|0,g);break a}default:{mF(e,c[i>>2]|0,g);break a}}}while(0);if(o|0)wF(e,s);if((u?c[e+152>>2]&4|0:0)?(c[r>>2]=c[t>>2],c[r+4>>2]=c[t+4>>2],c[r+8>>2]=c[t+8>>2],c[r+12>>2]=c[t+12>>2],c[r+16>>2]=c[t+16>>2],c[r+20>>2]=c[t+20>>2],c[r+24>>2]=c[t+24>>2],c[r+28>>2]=c[t+28>>2],qF(e,g,f,r,s)|0):0)wF(e,s);l=v;return}function uF(f,g,i,j,k){f=f|0;g=g|0;i=i|0;j=j|0;k=k|0;var m=0.0,n=0,o=0.0,p=0.0,q=0,r=0.0,s=0.0,t=0.0,u=0.0,v=0,w=0,x=0.0,y=0,z=0,A=0,B=0,C=0;A=l;l=l+32|0;y=A+16|0;z=A;r=+h[i>>3];x=+h[i+8>>3];q=(j|0)==0?122106:j;DD(f,q);BD(f,q);t=+h[g+48>>3];o=+h[g+56>>3];u=+h[g+64>>3];p=+h[g+72>>3];s=t+r;r=u+r;x=o+x;q=g+100|0;i=a[q>>0]|0;if((i&1)!=0?(n=c[g+96>>2]|0,((e[g+80>>1]|0)+(e[g+84>>1]|0)|0)<(c[n+104>>2]|0)):0){i=b[g+86>>1]|0;do if(i<<16>>16)if(((e[g+82>>1]|0)+(i&65535)|0)==(c[n+100>>2]|0)){B=a[n+32>>0]|0;C=(B<<24>>24)/2|0;j=(C<<24>>24)+(d[n+33>>0]|0)|0;i=j;j=j&255;m=x-+(C<<24>>24);n=B;break}else{n=a[n+32>>0]|0;i=0;j=((n<<24>>24)/2|0)<<24>>24;m=x;break}else{C=a[n+32>>0]|0;j=((C<<24>>24)/2|0)<<24>>24;i=j+(d[n+33>>0]|0)|0;m=x;n=C}while(0);h[z+8>>3]=m-+(j|0);h[z>>3]=r+ +(((n<<24>>24)/2|0)<<24>>24);c[y>>2]=c[z>>2];c[y+4>>2]=c[z+4>>2];c[y+8>>2]=c[z+8>>2];c[y+12>>2]=c[z+12>>2];yF(f,y,0.0,p-o+ +(i&255|0)+ +(n<<24>>24));i=a[q>>0]|0}if(i&2?(v=b[g+86>>1]|0,w=c[g+96>>2]|0,((e[g+82>>1]|0)+(v&65535)|0)<(c[w+100>>2]|0)):0){i=b[g+84>>1]|0;do if(!(i<<16>>16)){i=a[w+32>>0]|0;C=(i<<24>>24)/2|0;n=(C<<24>>24)+(d[w+33>>0]|0)|0;j=n&255;n=n&255;m=+(C<<24>>24);h[z>>3]=s-m-+(n|0);if((c[w+104>>2]|0)==(e[g+80>>1]|0)){j=n<<1&255;break}if((k|0)!=0?(b[k+86>>1]|0)!=v<<16>>16:0)j=~~(+(j&255)-u+ +h[w+64>>3]-m)&255}else{if(((e[g+80>>1]|0)+(i&65535)|0)==(c[w+104>>2]|0)){i=a[w+32>>0]|0;C=(i<<24>>24)/2|0;j=(C&255)+(d[w+33>>0]|0)&255;h[z>>3]=s-+(C<<24>>24);break}i=a[w+32>>0]|0;m=+(((i<<24>>24)/2|0)<<24>>24);h[z>>3]=s-m;if((k|0)!=0?(b[k+86>>1]|0)!=v<<16>>16:0)j=~~(+h[w+64>>3]-u-m)&255;else j=0}while(0);h[z+8>>3]=x-+(((i<<24>>24)/2|0)<<24>>24);c[y>>2]=c[z>>2];c[y+4>>2]=c[z+4>>2];c[y+8>>2]=c[z+8>>2];c[y+12>>2]=c[z+12>>2];yF(f,y,u-t+ +(j&255)+ +(i<<24>>24),0.0)}l=A;return}function vF(e,f,g){e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0.0;p=l;l=l+160|0;o=p+112|0;n=p;j=p+144|0;m=c[f+24>>2]|0;BD(e,(m|0)==0?122106:m);m=f+42|0;i=b[m>>1]|0;if(!(i&384))FD(e,c[(c[e>>2]|0)+336>>2]|0);else{c[j+4>>2]=0;c[j>>2]=0;i=i&65535;if(!(i&256)){if(i&128|0){i=122112;k=4}}else{i=122119;k=4}if((k|0)==4)c[j>>2]=i;FD(e,j)}k=f+33|0;OD(e,+(d[k>>0]|0));a:do if(!(b[m>>1]&4)){i=b[f+36>>1]&15360;if(!(i<<16>>16)){i=a[k>>0]|0;if((i&255)>1){q=+(i&255)*.5;h[g>>3]=+h[g>>3]+q;n=g+8|0;h[n>>3]=+h[n>>3]+q;n=g+16|0;h[n>>3]=+h[n>>3]-q;n=g+24|0;h[n>>3]=+h[n>>3]-q};c[o>>2]=c[g>>2];c[o+4>>2]=c[g+4>>2];c[o+8>>2]=c[g+8>>2];c[o+12>>2]=c[g+12>>2];c[o+16>>2]=c[g+16>>2];c[o+20>>2]=c[g+20>>2];c[o+24>>2]=c[g+24>>2];c[o+28>>2]=c[g+28>>2];ID(e,o,0);break}j=n+16|0;m=d[k>>0]|0;c[o>>2]=c[g>>2];c[o+4>>2]=c[g+4>>2];c[o+8>>2]=c[g+8>>2];c[o+12>>2]=c[g+12>>2];c[o+16>>2]=c[g+16>>2];c[o+20>>2]=c[g+20>>2];c[o+24>>2]=c[g+24>>2];c[o+28>>2]=c[g+28>>2];sF(j,o,m)|0;do switch(((i&65535)+-1024|0)>>>10&4194303|0){case 7:{KD(e,j,2);break a}case 3:{KD(e,n+32|0,2);break a}case 1:{KD(e,n+48|0,2);break a}case 0:{g=n+64|0;c[n>>2]=c[g>>2];c[n+4>>2]=c[g+4>>2];c[n+8>>2]=c[g+8>>2];c[n+12>>2]=c[g+12>>2];KD(e,n,2);break a}case 11:{KD(e,j,3);break a}case 5:{KD(e,n+32|0,3);break a}case 2:{g=n+80|0;c[g>>2]=c[j>>2];c[g+4>>2]=c[j+4>>2];c[g+8>>2]=c[j+8>>2];c[g+12>>2]=c[j+12>>2];KD(e,n+48|0,3);break a}case 8:{g=n+64|0;c[n>>2]=c[g>>2];c[n+4>>2]=c[g+4>>2];c[n+8>>2]=c[g+8>>2];c[n+12>>2]=c[g+12>>2];KD(e,n,3);break a}case 13:{KD(e,j,4);break a}case 6:{g=n+80|0;c[g>>2]=c[j>>2];c[g+4>>2]=c[j+4>>2];c[g+8>>2]=c[j+8>>2];c[g+12>>2]=c[j+12>>2];KD(e,n+32|0,4);break a}case 10:{g=n+80|0;c[g>>2]=c[j>>2];c[g+4>>2]=c[j+4>>2];c[g+8>>2]=c[j+8>>2];c[g+12>>2]=c[j+12>>2];g=n+96|0;o=n+32|0;c[g>>2]=c[o>>2];c[g+4>>2]=c[o+4>>2];c[g+8>>2]=c[o+8>>2];c[g+12>>2]=c[o+12>>2];KD(e,n+48|0,4);break a}case 12:{g=n+64|0;c[n>>2]=c[g>>2];c[n+4>>2]=c[g+4>>2];c[n+8>>2]=c[g+8>>2];c[n+12>>2]=c[g+12>>2];KD(e,n,4);break a}case 9:{KD(e,j,2);KD(e,n+48|0,2);break a}case 4:{g=n+64|0;c[n>>2]=c[g>>2];c[n+4>>2]=c[g+4>>2];c[n+8>>2]=c[g+8>>2];c[n+12>>2]=c[g+12>>2];KD(e,n,2);KD(e,n+32|0,2);break a}default:break a}while(0)}else{m=d[k>>0]|0;c[o>>2]=c[g>>2];c[o+4>>2]=c[g+4>>2];c[o+8>>2]=c[g+8>>2];c[o+12>>2]=c[g+12>>2];c[o+16>>2]=c[g+16>>2];c[o+20>>2]=c[g+20>>2];c[o+24>>2]=c[g+24>>2];c[o+28>>2]=c[g+28>>2];yy(e,sF(n,o,m)|0,4,4,0)}while(0);l=p;return}function wF(d,e){d=d|0;e=e|0;var f=0,g=0,h=0;h=c[d+16>>2]|0;f=h+208|0;if((c[f>>2]|0)==0?(b[h+260>>1]&1)==0:0)d=0;else{xD(d);d=c[f>>2]|0}if((d|0)!=(c[e>>2]|0)){_I(d);c[f>>2]=c[e>>2]}d=h+228|0;f=c[d>>2]|0;g=e+4|0;if((f|0)!=(c[g>>2]|0)){_I(f);c[d>>2]=c[g>>2]}d=h+244|0;f=c[d>>2]|0;g=e+8|0;if((f|0)!=(c[g>>2]|0)){_I(f);c[d>>2]=c[g>>2]}d=h+212|0;f=c[d>>2]|0;g=e+12|0;if((f|0)!=(c[g>>2]|0)){_I(f);c[d>>2]=c[g>>2]}h=h+260|0;b[h>>1]=b[h>>1]&-2|a[e+16>>0]&1;return}function xF(a,b){a=a|0;b=b|0;var d=0.0,e=0;e=c[b>>2]|0;if(e|0)c[a+16>>2]=e;e=c[b+4>>2]|0;if(e|0)c[a+20>>2]=e;d=+h[b+16>>3];if(d>=0.0)h[a+32>>3]=d;return}function yF(a,b,d,e){a=a|0;b=b|0;d=+d;e=+e;var f=0,g=0,i=0;f=l;l=l+64|0;g=f+32|0;i=f;c[i>>2]=c[b>>2];c[i+4>>2]=c[b+4>>2];c[i+8>>2]=c[b+8>>2];c[i+12>>2]=c[b+12>>2];h[i+16>>3]=+h[b>>3]+d;h[i+24>>3]=+h[b+8>>3]+e;c[g>>2]=c[i>>2];c[g+4>>2]=c[i+4>>2];c[g+8>>2]=c[i+8>>2];c[g+12>>2]=c[i+12>>2];c[g+16>>2]=c[i+16>>2];c[g+20>>2]=c[i+20>>2];c[g+24>>2]=c[i+24>>2];c[g+28>>2]=c[i+28>>2];ID(a,g,1);l=f;return}function zF(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0.0,k=0.0,m=0.0,n=0.0;i=l;l=l+64|0;g=i;k=+h[e>>3];n=k+ +h[d>>3];m=+h[e+8>>3];j=m+ +h[d+8>>3];k=k+ +h[d+16>>3];m=m+ +h[d+24>>3];h[g>>3]=k;h[g+8>>3]=m;h[g+32>>3]=n;h[g+40>>3]=j;h[g+16>>3]=n;h[g+24>>3]=m;h[g+48>>3]=k;h[g+56>>3]=j;f=c[d+36>>2]|0;if(!f)f=c[e+56>>2]|0;e=c[d+32>>2]|0;if(!e)ma(122126,122134,623,122146);if(!(a[e>>0]|0))ma(122160,122134,624,122146);else{MD(b,e,g,4,1,f);l=i;return}}function AF(d,e,f,g,i,j,k,m){d=d|0;e=e|0;f=f|0;g=g|0;i=+i;j=j|0;k=k|0;m=m|0;var n=0.0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0.0,J=0,K=0,L=0,M=0.0,N=0.0,O=0,P=0,Q=0,R=0;R=l;l=l+128|0;K=R+104|0;O=R+48|0;P=R+16|0;L=R;J=L;c[J>>2]=0;c[J+4>>2]=0;M=+h[g>>3];N=M-i;I=M+i;J=L+8|0;h[J>>3]=(+h[k+24>>3]-+h[k+8>>3])*.5+ +h[g+8>>3];yD(d,1);D=P+16|0;E=P+4|0;F=P+24|0;G=O+4|0;H=O+16|0;s=(m|0)==0;t=O+24|0;u=O+8|0;v=O+32|0;w=O+40|0;x=O+48|0;y=j+16|0;z=j+4|0;A=P+8|0;q=0;while(1){if((q|0)>=(e|0))break;switch(a[f+(q*24|0)+6>>0]|0){case 108:{i=N;break}case 114:{i=I-+h[f+(q*24|0)+8>>3];break}default:i=M-+h[f+(q*24|0)+8>>3]*.5}h[g>>3]=i;B=f+(q*24|0)+16|0;h[J>>3]=+h[J>>3]-+h[B>>3];C=f+(q*24|0)+4|0;p=c[f+(q*24|0)>>2]|0;r=0;while(1){if((r|0)>=(b[C>>1]|0))break;o=p+4|0;m=c[o>>2]|0;if(m){h[D>>3]=+h[(+h[m+16>>3]>0.0?m:j)+16>>3];c[P>>2]=c[((c[m>>2]|0)==0?j:m)>>2];k=c[((c[m+4>>2]|0)==0?j:m)+4>>2]|0;c[E>>2]=k;m=c[m+24>>2]&127;if(!m)Q=12;else m=c[F>>2]&-128|m}else{h[D>>3]=+h[y>>3];c[P>>2]=c[j>>2];k=c[z>>2]|0;c[E>>2]=k;Q=12}if((Q|0)==12){Q=0;m=c[F>>2]&-128}c[F>>2]=m;BD(d,k);c[O>>2]=c[p>>2];c[G>>2]=P;h[H>>3]=+h[p+16>>3];if(s)n=1.0;else n=+h[p+24>>3];h[t>>3]=n;c[A>>2]=c[(c[o>>2]|0)+8>>2];c[u>>2]=c[p+8>>2];o=p+32|0;h[v>>3]=+h[o>>3];h[w>>3]=+h[B>>3];a[x>>0]=108;h[L>>3]=i;c[K>>2]=c[L>>2];c[K+4>>2]=c[L+4>>2];c[K+8>>2]=c[L+8>>2];c[K+12>>2]=c[L+12>>2];AD(d,K,O);n=+h[o>>3]+i;h[g>>3]=n;p=p+56|0;r=r+1|0;i=n}q=q+1|0}zD(d);l=R;return}function BF(a){a=a|0;_I(c[a>>2]|0);_I(c[a+4>>2]|0);_I(c[a+8>>2]|0);_I(c[a+16>>2]|0);_I(c[a+12>>2]|0);_I(c[a+20>>2]|0);_I(c[a+24>>2]|0);return}function CF(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;if(a|0){j=a+4|0;e=0;g=c[a>>2]|0;while(1){if((e|0)>=(b[j>>1]|0))break;k=g+4|0;d=0;f=c[g>>2]|0;while(1){if((d|0)>=(b[k>>1]|0))break;_I(c[f>>2]|0);h=c[f+8>>2]|0;if(h|0?(i=c[f+12>>2]|0,i|0):0)gb[i&127](h);d=d+1|0;f=f+56|0}e=e+1|0;g=g+24|0}d=c[a>>2]|0;if(d|0)_I(d);_I(a)}return}function DF(a){a=a|0;_I(c[a+32>>2]|0);_I(a);return}function EF(b,d){b=b|0;d=d|0;switch(a[b+4>>0]|0){case 1:{FF(c[b>>2]|0);break}case 3:{DF(c[b>>2]|0);break}default:CF(c[b>>2]|0)}if(d|0)_I(b);return}function FF(a){a=a|0;var b=0,d=0,e=0;e=a+84|0;if((c[a+100>>2]|0)==-1)Kl(c[e>>2]|0)|0;else{b=c[e>>2]|0;_I(c[a+92>>2]|0);_I(c[a+96>>2]|0);while(1){d=c[b>>2]|0;if(!d)break;GF(d);b=b+4|0}_I(c[e>>2]|0)}BF(a);_I(a);return}function GF(a){a=a|0;EF(a+88|0,0);BF(a);_I(a);return}function HF(b,e,f){b=b|0;e=e|0;f=f|0;var g=0;b=c[(c[(c[b+16>>2]|0)+104>>2]|0)+72>>2]|0;if((a[b+4>>0]|0)!=2?(g=IF(c[b>>2]|0,e)|0,(g|0)!=0):0){c[f>>2]=d[g+35>>0];b=g+48|0}else b=0;return b|0}function IF(a,b){a=a|0;b=b|0;var d=0,e=0;d=c[a+4>>2]|0;if(!((d|0)!=0?(iK(d,b)|0)==0:0))e=3;a:do if((e|0)==3){d=c[a+84>>2]|0;while(1){a=c[d>>2]|0;if(!a){a=0;break a}a=JF(a,b)|0;if(!a)d=d+4|0;else break}}while(0);return a|0}function JF(b,d){b=b|0;d=d|0;var e=0;e=c[b+4>>2]|0;if(!((e|0)!=0?(iK(e,d)|0)==0:0))if((a[b+92>>0]|0)==1)b=IF(c[b+88>>2]|0,d)|0;else b=0;return b|0}function KF(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;return 0}function LF(d){d=d|0;var f=0.0,g=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0;p=d+92|0;c[p>>2]=vw((c[d+100>>2]<<2)+4|0)|0;n=vw((c[d+104>>2]<<2)+4|0)|0;c[d+96>>2]=n;o=d+32|0;m=c[d+84>>2]|0;while(1){l=c[m>>2]|0;if(!l)break;d=b[l+82>>1]|0;f=+h[l+72>>3];if(d<<16>>16==1)i=~~f;else{i=~~((f-+(O((a[o>>0]|0)+-1|0,(d&65535)+-1|0)|0))/+(d&65535));i=(i|0)>1?i:1}j=b[l+80>>1]|0;f=+h[l+64>>3];if(j<<16>>16==1)k=~~f;else{k=~~((f-+(O((a[o>>0]|0)+-1|0,(j&65535)+-1|0)|0))/+(j&65535));k=(k|0)>1?k:1}q=e[l+86>>1]|0;g=(d&65535)+q|0;d=q;while(1){if((d|0)>=(g|0))break;q=(c[p>>2]|0)+(d<<2)|0;r=c[q>>2]|0;c[q>>2]=(r|0)>(i|0)?r:i;d=d+1|0}d=e[l+84>>1]|0;g=(j&65535)+d|0;while(1){if((d|0)>=(g|0))break;r=n+(d<<2)|0;q=c[r>>2]|0;c[r>>2]=(q|0)>(k|0)?q:k;d=d+1|0}m=m+4|0}return}function MF(a){a=a|0;var b=0,d=0;d=l;l=l+16|0;b=d;if(a>>>0<21)a=c[54824+(a<<2)>>2]|0;else{c[b>>2]=a;pL(174081,122187,b)|0;a=174081}l=d;return a|0}function NF(a,b,d){a=a|0;b=b|0;d=d|0;var f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;k=a+104|0;l=a+100|0;j=d+16|0;f=0;g=0;while(1){if((f|0)>(c[k>>2]|0))break;i=no(d,MF(f)|0,1)|0;No(i,122241,304,1)|0;m=i+16|0;c[(c[m>>2]|0)+176>>2]=0;o=vw((c[l>>2]<<2)+4|0)|0;n=c[m>>2]|0;c[n+172>>2]=o;c[n+184>>2]=0;n=vw((c[l>>2]<<2)+4|0)|0;c[(c[m>>2]|0)+180>>2]=n;if(!g)c[(c[j>>2]|0)+192>>2]=i;else c[(c[g+16>>2]|0)+164>>2]=i;f=f+1|0;g=i}j=b+16|0;f=0;g=0;while(1){if((f|0)>(c[l>>2]|0))break;i=no(b,MF(f)|0,1)|0;No(i,122241,304,1)|0;o=i+16|0;c[(c[o>>2]|0)+176>>2]=0;m=vw((c[k>>2]<<2)+4|0)|0;n=c[o>>2]|0;c[n+172>>2]=m;c[n+184>>2]=0;n=vw((c[k>>2]<<2)+4|0)|0;c[(c[o>>2]|0)+180>>2]=n;if(!g)c[(c[j>>2]|0)+192>>2]=i;else c[(c[g+16>>2]|0)+164>>2]=i;f=f+1|0;g=i}f=c[a+84>>2]|0;while(1){g=c[f>>2]|0;if(!g)break;o=g+84|0;n=no(d,MF(e[o>>1]|0)|0,0)|0;o=no(d,MF((e[g+80>>1]|0)+(e[o>>1]|0)|0)|0,0)|0;OF(d,n,o,~~+h[g+64>>3]);o=g+86|0;n=no(b,MF(e[o>>1]|0)|0,0)|0;o=no(b,MF((e[g+82>>1]|0)+(e[o>>1]|0)|0)|0,0)|0;OF(b,n,o,~~+h[g+72>>3]);f=f+4|0}PF(d);PF(b);return}function OF(a,d,f,g){a=a|0;d=d|0;f=f|0;g=g|0;var h=0,i=0;h=an(a,d,f,0,0)|0;if(!h){i=an(a,d,f,0,1)|0;No(i,122254,176,1)|0;b[(c[i+16>>2]|0)+170>>1]=g;d=d+16|0;a=c[d>>2]|0;h=c[a+180>>2]|0;if(!h)a=ww((c[a+184>>2]<<2)+8|0)|0;else a=yw(h,(c[a+184>>2]<<2)+8|0)|0;g=c[d>>2]|0;c[g+180>>2]=a;g=g+184|0;h=c[g>>2]|0;c[g>>2]=h+1;c[a+(h<<2)>>2]=i;d=c[d>>2]|0;c[(c[d+180>>2]|0)+(c[d+184>>2]<<2)>>2]=0;d=f+16|0;a=c[d>>2]|0;h=c[a+172>>2]|0;if(!h)a=ww((c[a+176>>2]<<2)+8|0)|0;else a=yw(h,(c[a+176>>2]<<2)+8|0)|0;g=c[d>>2]|0;c[g+172>>2]=a;g=g+176|0;f=c[g>>2]|0;c[g>>2]=f+1;c[a+(f<<2)>>2]=i;i=c[d>>2]|0;c[(c[i+172>>2]|0)+(c[i+176>>2]<<2)>>2]=0}else{i=(c[h+16>>2]|0)+170|0;f=e[i>>1]|0;b[i>>1]=(f|0)>(g|0)?f:g}return}function PF(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0;d=c[(c[a+16>>2]|0)+192>>2]|0;while(1){f=d+16|0;h=c[(c[f>>2]|0)+164>>2]|0;if(!h)break;if(an(a,d,h,0,0)|0){d=h;continue}g=an(a,d,h,0,1)|0;No(g,122254,176,1)|0;b[(c[g+16>>2]|0)+170>>1]=0;d=c[f>>2]|0;e=c[d+180>>2]|0;if(!e)d=ww((c[d+184>>2]<<2)+8|0)|0;else d=yw(e,(c[d+184>>2]<<2)+8|0)|0;i=c[f>>2]|0;c[i+180>>2]=d;i=i+184|0;e=c[i>>2]|0;c[i>>2]=e+1;c[d+(e<<2)>>2]=g;f=c[f>>2]|0;c[(c[f+180>>2]|0)+(c[f+184>>2]<<2)>>2]=0;f=h+16|0;d=c[f>>2]|0;e=c[d+172>>2]|0;if(!e)d=ww((c[d+176>>2]<<2)+8|0)|0;else d=yw(e,(c[d+176>>2]<<2)+8|0)|0;e=c[f>>2]|0;c[e+172>>2]=d;e=e+176|0;i=c[e>>2]|0;c[e>>2]=i+1;c[d+(i<<2)>>2]=g;d=c[f>>2]|0;c[(c[d+172>>2]|0)+(c[d+176>>2]<<2)>>2]=0;d=h}return}function QF(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;g=a+92|0;e=0;f=0;b=c[(c[(c[b+16>>2]|0)+192>>2]|0)+16>>2]|0;while(1){b=c[b+164>>2]|0;if(!b)break;b=c[b+16>>2]|0;h=b+232|0;c[(c[g>>2]|0)+(f<<2)>>2]=(c[h>>2]|0)-e;e=c[h>>2]|0;f=f+1|0}a=a+96|0;e=0;f=0;b=c[(c[(c[d+16>>2]|0)+192>>2]|0)+16>>2]|0;while(1){b=c[b+164>>2]|0;if(!b)break;b=c[b+16>>2]|0;h=b+232|0;c[(c[a>>2]|0)+(f<<2)>>2]=(c[h>>2]|0)-e;e=c[h>>2]|0;f=f+1|0}return}function RF(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;h=l;l=l+16|0;g=h+4|0;d=h;c[d>>2]=c[4411];e=c[b+100>>2]|0;if((e|0)!=1?(f=b+104|0,(c[f>>2]|0)!=1):0){c[b+92>>2]=vw((e<<2)+4|0)|0;c[b+96>>2]=vw((c[f>>2]<<2)+4|0)|0;a[g>>0]=a[d>>0]|0;a[g+1>>0]=a[d+1>>0]|0;a[g+2>>0]=a[d+2>>0]|0;a[g+3>>0]=a[d+3>>0]|0;f=gn(122267,g,0)|0;a[g>>0]=a[d>>0]|0;a[g+1>>0]=a[d+1>>0]|0;a[g+2>>0]=a[d+2>>0]|0;a[g+3>>0]=a[d+3>>0]|0;g=gn(122272,g,0)|0;No(f,122277,280,1)|0;No(g,122277,280,1)|0;NF(b,f,g);gx(f,2,2147483647)|0;gx(g,2,2147483647)|0;QF(b,f,g);SF(f,g)}else LF(b);l=h;return}function SF(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=(c[b+16>>2]|0)+192|0;while(1){d=c[d>>2]|0;if(!d)break;f=d+16|0;d=c[f>>2]|0;e=c[d+172>>2]|0;if(e){_I(e);d=c[f>>2]|0}e=c[d+180>>2]|0;if(e){_I(e);d=c[f>>2]|0}d=d+164|0}ln(a)|0;ln(b)|0;return}function TF(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0.0,r=0.0;p=l;l=l+272|0;n=p+104|0;o=p+136|0;j=p+72|0;k=p;g=p+144|0;c[k+48>>2]=b;switch(Co(b)|0){case 0:{e=c[b+60>>2]|0;break}case 1:{e=ro(b)|0;break}case 2:{e=ro(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0;break}default:{}}i=k+52|0;c[i>>2]=e;m=c[e+60>>2]|0;h[k+32>>3]=+h[d+16>>3];c[k+16>>2]=c[d+4>>2];c[k+20>>2]=c[d+8>>2];c[k+40>>2]=0;f=bI(c[d>>2]|0,o,k)|0;if(!f){cm(n,128,g);a[d+82>>0]=0;e=GL(UF(b,n)|0)|0;c[d>>2]=e;if((c[d+12>>2]|0)==1)e=yB(e)|0;else e=vB(e,c[i>>2]|0)|0;_I(c[d>>2]|0);c[d>>2]=e;jw(c[(c[m+16>>2]|0)+144>>2]|0,d);gm(n);e=c[o>>2]|0}else{e=f+4|0;if((a[e>>0]|0)==1){if((c[(c[f>>2]|0)+24>>2]|0)==0?VF(b)|0:0){i=GL(VF(b)|0)|0;c[(c[f>>2]|0)+24>>2]=i}m=WF(m,c[f>>2]|0,0,k)|0;c[o>>2]=c[o>>2]|m;m=c[f>>2]|0;r=+h[m+64>>3]*.5;q=+h[m+72>>3]*.5;XF(j,-r,-q,r,q);m=c[f>>2]|0;c[n>>2]=c[j>>2];c[n+4>>2]=c[j+4>>2];c[n+8>>2]=c[j+8>>2];c[n+12>>2]=c[j+12>>2];c[n+16>>2]=c[j+16>>2];c[n+20>>2]=c[j+20>>2];c[n+24>>2]=c[j+24>>2];c[n+28>>2]=c[j+28>>2];YF(m,n,15)}else{ZF(c[(c[m+16>>2]|0)+144>>2]|0,c[f>>2]|0,k);n=c[f>>2]|0;q=+h[n+24>>3]*.5;r=+h[n+32>>3]*.5;XF(j,-q,-r,q,r);n=(c[f>>2]|0)+8|0;c[n>>2]=c[j>>2];c[n+4>>2]=c[j+4>>2];c[n+8>>2]=c[j+8>>2];c[n+12>>2]=c[j+12>>2];c[n+16>>2]=c[j+16>>2];c[n+20>>2]=c[j+20>>2];c[n+24>>2]=c[j+24>>2];c[n+28>>2]=c[j+28>>2]}h[d+24>>3]=+h[j+16>>3]-+h[j>>3];h[d+32>>3]=+h[j+24>>3]-+h[j+8>>3];c[d+72>>2]=f;if((a[e>>0]|0)==1){_I(c[d>>2]|0);c[d>>2]=GL(122290)|0}e=c[o>>2]|0}l=p;return e|0}function UF(b,d){b=b|0;d=d|0;var e=0;a:do switch(Co(b)|0){case 0:{fm(d,Dn(b)|0)|0;break}case 1:{fm(d,Dn(b)|0)|0;break}case 2:{fm(d,Dn(c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)|0)|0;e=b+-48|0;fm(d,Dn(c[((c[b>>2]&3|0)==2?b:e)+40>>2]|0)|0)|0;if(!(qn(ro(c[((c[b>>2]&3|0)==2?b:e)+40>>2]|0)|0)|0)){fm(d,122549)|0;break a}else{fm(d,122546)|0;break a}}default:{}}while(0);e=d+4|0;b=c[e>>2]|0;if(b>>>0>=(c[d+8>>2]|0)>>>0){dm(d,1)|0;b=c[e>>2]|0}a[b>>0]=0;d=c[d>>2]|0;c[e>>2]=d;return d|0}function VF(b){b=b|0;var c=0,d=0;c=Im(b,122531)|0;if(!((c|0)!=0?(a[c>>0]|0)!=0:0))d=3;do if((d|0)==3){c=Im(b,122540)|0;if(c|0?a[c>>0]|0:0)break;c=0}while(0);return c|0}function WF(f,g,i,j){f=f|0;g=g|0;i=i|0;j=j|0;var k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0;w=l;l=l+16|0;u=w+8|0;t=w;v=g+108|0;k=c[v>>2]|0;if(k|0)pF(j,k,167328);c[g+80>>2]=i;k=bG(f,g,j)|0;r=g+36|0;f=b[r>>1]|0;if(!(f&128))a[g+32>>0]=2;i=g+33|0;if(!(f&32))a[i>>0]=1;RF(g);n=c[g+104>>2]|0;p=a[g+32>>0]|0;f=O(n+1|0,p)|0;o=d[i>>0]<<1;q=c[g+100>>2]|0;p=O(q+1|0,p)|0;m=g+96|0;f=o+f|0;i=0;while(1){if((i|0)>=(n|0))break;f=(c[(c[m>>2]|0)+(i<<2)>>2]|0)+f|0;i=i+1|0}n=g+92|0;i=p+o|0;m=0;while(1){if((m|0)>=(q|0))break;i=(c[(c[n>>2]|0)+(m<<2)>>2]|0)+i|0;m=m+1|0}n=g+38|0;do if(b[r>>1]&1){r=b[n>>1]|0;m=r&65535;if(r<<16>>16?(s=b[g+40>>1]|0,s<<16>>16):0){if(!((f|0)>(m|0)|(i|0)>(s&65535|0))){i=0;f=0;break}_l(0,122331,t)|0;k=1;i=0;f=0;break}_l(0,122365,u)|0;k=1}while(0);u=e[n>>1]|0;h[g+64>>3]=+(((f|0)>(u|0)?f:u)|0);u=e[g+40>>1]|0;h[g+72>>3]=+(((i|0)>(u|0)?i:u)|0);if(c[v>>2]|0)xF(j,167328);l=w;return k|0}function XF(a,b,c,d,e){a=a|0;b=+b;c=+c;d=+d;e=+e;h[a>>3]=b;h[a+8>>3]=c;h[a+16>>3]=d;h[a+24>>3]=e;return}function YF(e,f,g){e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0.0,n=0.0,o=0,p=0,q=0.0,r=0.0,s=0,t=0,u=0,v=0,w=0,x=0,y=0.0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0.0,K=0;I=l;l=l+64|0;G=I+32|0;H=I;E=c[e+84>>2]|0;k=c[e+80>>2]|0;if((k|0?(i=c[k+24>>2]|0,i|0):0)?(j=e+24|0,(c[j>>2]|0)==0):0)c[j>>2]=GL(i)|0;F=e+48|0;i=f+16|0;n=+h[i>>3];m=+h[f>>3];k=~~(n-m-+(~~+h[e+64>>3]|0));if((k|0)<=-1)ma(122298,122134,1761,122308);o=f+24|0;y=+h[o>>3];p=f+8|0;q=+h[p>>3];r=+(~~+h[e+72>>3]|0);s=~~(y-q-r);if((s|0)<=-1)ma(122321,122134,1764,122308);t=b[e+36>>1]|0;j=t&65535;a:do if(j&1){b:do if((k|0)>0)switch(j&6){case 4:{h[i>>3]=m+r;break b}case 2:{J=+(k|0);h[i>>3]=n+J;m=m+J;h[f>>3]=m;break b}default:{J=+(k>>>1|0);m=m+J;h[f>>3]=m;h[i>>3]=n-J;break b}}while(0);if((s|0)>0)switch(t&24){case 16:{y=q+r;h[o>>3]=y;s=0;i=0;break a}case 8:{J=+(s|0);y=y+J;h[o>>3]=y;h[p>>3]=q+J;s=0;i=0;break a}default:{J=+(s>>>1|0);h[p>>3]=q+J;y=y-J;h[o>>3]=y;s=0;i=0;break a}}else{s=0;i=0}}else i=k;while(0);n=+(d[e+33>>0]|0);C=e+32|0;u=a[C>>0]|0;q=+(u<<24>>24);D=e+104|0;k=c[D>>2]|0;t=(i|0)/(k|0)|0;o=i-(O(t,k)|0)|0;o=~~(((o|0)>-1?.5:-.5)+ +(o|0));B=e+96|0;p=u<<24>>24;i=~~(m+n+q);j=0;while(1){if((j|0)>(k|0))break;A=(c[B>>2]|0)+(j<<2)|0;k=c[A>>2]|0;c[A>>2]=i;i=i+t+((j|0)<(o|0)&1)+k+p|0;j=j+1|0;k=c[D>>2]|0}A=e+100|0;k=c[A>>2]|0;t=(s|0)/(k|0)|0;p=s-(O(t,k)|0)|0;p=~~(((p|0)>-1?.5:-.5)+ +(p|0));z=e+92|0;o=u<<24>>24;i=~~(y-n-q);j=0;while(1){if((j|0)>(k|0))break;x=(c[z>>2]|0)+(j<<2)|0;k=c[x>>2]|0;c[x>>2]=i;i=i-t+(((j|0)<(p|0))<<31>>31)-k-o|0;j=j+1|0;k=c[A>>2]|0}u=(g|0)==0;v=H+16|0;w=H+24|0;x=H+8|0;i=E;while(1){o=c[i>>2]|0;if(!o)break;k=b[o+84>>1]|0;if(u){j=0;p=b[o+80>>1]|0;s=b[o+86>>1]|0;t=b[o+82>>1]|0}else{j=k<<16>>16==0?8:0;s=b[o+86>>1]|0;j=s<<16>>16==0?j|4:j;p=b[o+80>>1]|0;t=b[o+82>>1]|0;j=(((p&65535)+(k&65535)|0)==(c[D>>2]|0)?j|2:j)|((t&65535)+(s&65535)|0)==(c[A>>2]|0)}K=c[B>>2]|0;k=k&65535;h[H>>3]=+(c[K+(k<<2)>>2]|0);E=a[C>>0]|0;h[v>>3]=+((c[K+((p&65535)+k<<2)>>2]|0)-E|0);p=c[z>>2]|0;h[w>>3]=+(c[p+((s&65535)<<2)>>2]|0);h[x>>3]=+((c[p+((t&65535)+(s&65535)<<2)>>2]|0)+E|0);c[G>>2]=c[H>>2];c[G+4>>2]=c[H+4>>2];c[G+8>>2]=c[H+8>>2];c[G+12>>2]=c[H+12>>2];c[G+16>>2]=c[H+16>>2];c[G+20>>2]=c[H+20>>2];c[G+24>>2]=c[H+24>>2];c[G+28>>2]=c[H+28>>2];_F(o,G,j&g);i=i+4|0}a[e+35>>0]=g;c[F>>2]=c[f>>2];c[F+4>>2]=c[f+4>>2];c[F+8>>2]=c[f+8>>2];c[F+12>>2]=c[f+12>>2];c[F+16>>2]=c[f+16>>2];c[F+20>>2]=c[f+20>>2];c[F+24>>2]=c[f+24>>2];c[F+28>>2]=c[f+28>>2];l=I;return}function ZF(d,e,f){d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0.0,k=0.0,m=0,n=0,o=0.0,p=0.0,q=0.0,r=0,s=0.0,t=0.0,u=0.0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0.0,Q=0.0,R=0.0;O=l;l=l+112|0;H=O+48|0;I=O+16|0;J=O;c[I>>2]=0;c[I+4>>2]=0;c[I+8>>2]=0;c[I+12>>2]=0;c[I+16>>2]=0;c[I+20>>2]=0;c[I+24>>2]=0;c[I+28>>2]=0;K=e+4|0;L=f+16|0;M=f+32|0;N=I+16|0;r=b[K>>1]|0;n=r<<16>>16;g=0;j=-1.0;m=0;while(1){if((m|0)>=(n|0)){g=1;break}i=c[e>>2]|0;if((b[i+(m*24|0)+4>>1]|0)>1){g=0;break}i=c[(c[i+(m*24|0)>>2]|0)+4>>2]|0;if(!i){k=+h[M>>3];h[N>>3]=k;i=L}else{if(c[i+24>>2]&127|0){g=0;break}k=+h[(+h[i+16>>3]>0.0?i:L)+16>>3];h[N>>3]=k;i=(c[i>>2]|0)==0?L:i}i=c[i>>2]|0;c[I>>2]=i;if(!(j==-1.0)){if(k!=j){g=0;break}}else j=k;if(g){if(xJ(i,g)|0){g=0;break}}else g=i;m=m+1|0}a[e+6>>0]=g;E=f+48|0;F=f+20|0;G=I+4|0;w=f+40|0;x=I+24|0;y=d+144|0;z=H+4|0;v=J+8|0;A=H+16|0;B=H+24|0;C=H+8|0;D=H+12|0;f=(g|0)==0;j=0.0;s=0.0;t=0.0;u=0.0;n=0;g=r;while(1){if((n|0)>=(g<<16>>16|0))break;k=0.0;q=0.0;m=0;p=0.0;j=0.0;i=c[e>>2]|0;while(1){if((m|0)>=(b[i+(n*24|0)+4>>1]|0))break;c[H>>2]=qw(c[(c[i+(n*24|0)>>2]|0)+(m*56|0)>>2]|0,c[E>>2]|0)|0;i=(c[e>>2]|0)+(n*24|0)|0;g=c[(c[i>>2]|0)+(m*56|0)+4>>2]|0;if(!g){h[N>>3]=+h[M>>3];c[I>>2]=c[L>>2];c[G>>2]=c[F>>2];c[x>>2]=c[x>>2]&-128|c[w>>2]&127}else{g=c[g+24>>2]&127;if(!g)g=c[w>>2]&127;c[x>>2]=c[x>>2]&-128|g;r=c[(c[i>>2]|0)+(m*56|0)+4>>2]|0;h[N>>3]=+h[(+h[r+16>>3]>0.0?r:L)+16>>3];c[I>>2]=c[((c[r>>2]|0)==0?L:r)>>2];c[G>>2]=c[((c[r+4>>2]|0)==0?L:r)+4>>2]}i=c[y>>2]|0;c[z>>2]=bb[c[i>>2]&31](i,I,1)|0;pA(J,d,H);Q=+h[J>>3];o=+h[v>>3];_I(c[(c[(c[e>>2]|0)+(n*24|0)>>2]|0)+(m*56|0)>>2]|0);i=c[e>>2]|0;r=c[i+(n*24|0)>>2]|0;c[r+(m*56|0)>>2]=c[H>>2];h[r+(m*56|0)+32>>3]=Q;h[r+(m*56|0)+16>>3]=+h[A>>3];h[r+(m*56|0)+24>>3]=+h[B>>3];c[r+(m*56|0)+4>>2]=c[z>>2];c[r+(m*56|0)+8>>2]=c[C>>2];c[r+(m*56|0)+12>>2]=c[D>>2];P=+h[N>>3];R=+h[B>>3];k=R>k?R:k;q=Q+q;m=m+1|0;p=P>p?P:p;j=o>j?o:j}h[i+(n*24|0)+8>>3]=q;g=(n|0)==0;do if(f)if(g){o=p;k=p-k;g=i;break}else{o=p;k=t-u+p-k;g=i+(n*24|0)|0;break}else{o=j;k=g?p:j;g=i+(n*24|0)|0}while(0);h[g+16>>3]=k;s=q>s?q:s;t=o+t;u=+h[i+(n*24|0)+16>>3]+u;n=n+1|0;g=b[K>>1]|0}h[e+24>>3]=s;h[e+32>>3]=g<<16>>16==1?j:t;l=O;return}function _F(e,f,g){e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0.0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0.0,A=0.0;y=l;l=l+64|0;v=y+32|0;x=y;j=e+24|0;if((c[j>>2]|0)==0?(i=c[(c[e+96>>2]|0)+24>>2]|0,i|0):0)c[j>>2]=GL(i)|0;t=e+36|0;w=b[t>>1]|0;i=w&65535;a:do if(i&1){k=+h[e+64>>3];q=+h[e+72>>3];j=f+16|0;m=+h[j>>3];o=+h[f>>3];n=m-o-k;b:do if(n>0.0)switch(i&6){case 4:{m=o+k;h[j>>3]=m;k=o;break b}case 2:{m=n+m;h[j>>3]=m;k=o+n;h[f>>3]=k;break b}default:{p=n*.5;k=p+o;h[f>>3]=k;m=m-p;h[j>>3]=m;break b}}else k=o;while(0);i=f+24|0;p=+h[i>>3];j=f+8|0;n=+h[j>>3];o=p-n-q;if(o>0.0)switch(w&24){case 16:{o=n+q;h[i>>3]=o;break a}case 8:{q=o+p;h[i>>3]=q;n=n+o;h[j>>3]=n;o=q;break a}default:{o=o*.5;n=o+n;h[j>>3]=n;o=p-o;h[i>>3]=o;break a}}else o=p}else{k=+h[f>>3];n=+h[f+8>>3];m=+h[f+16>>3];o=+h[f+24>>3]}while(0);s=e+48|0;c[s>>2]=c[f>>2];c[s+4>>2]=c[f+4>>2];c[s+8>>2]=c[f+8>>2];c[s+12>>2]=c[f+12>>2];c[s+16>>2]=c[f+16>>2];c[s+20>>2]=c[f+20>>2];c[s+24>>2]=c[f+24>>2];c[s+28>>2]=c[f+28>>2];a[e+35>>0]=g;A=+(d[e+33>>0]|0);z=+(d[e+34>>0]|0);p=k+A+z;h[x>>3]=p;q=n+A+z;s=x+8|0;h[s>>3]=q;n=m-A-z;f=x+16|0;h[f>>3]=n;o=o-A-z;r=x+24|0;h[r>>3]=o;j=e+88|0;switch(a[e+92>>0]|0){case 1:{w=c[j>>2]|0;c[v>>2]=c[x>>2];c[v+4>>2]=c[x+4>>2];c[v+8>>2]=c[x+8>>2];c[v+12>>2]=c[x+12>>2];c[v+16>>2]=c[x+16>>2];c[v+20>>2]=c[x+20>>2];c[v+24>>2]=c[x+24>>2];c[v+28>>2]=c[x+28>>2];YF(w,v,g);break}case 3:{i=c[j>>2]|0;k=+h[i+24>>3];m=n-p-+h[i+16>>3];c:do if(m>0.0)switch(w&6){case 4:{h[f>>3]=n-m;break c}case 2:{h[x>>3]=m+p;break c}default:break c}while(0);k=o-q-k;d:do if(k>0.0)switch(w&24){case 16:{h[r>>3]=o-k;break d}case 8:{h[s>>3]=k+q;break d}default:break d}while(0);c[v>>2]=c[x>>2];c[v+4>>2]=c[x+4>>2];c[v+8>>2]=c[x+8>>2];c[v+12>>2]=c[x+12>>2];c[v+16>>2]=c[x+16>>2];c[v+20>>2]=c[x+20>>2];c[v+24>>2]=c[x+24>>2];c[v+28>>2]=c[x+28>>2];$F(i,v);break}default:{i=c[j>>2]|0;k=+h[i+32>>3];m=n-p-+h[i+24>>3];e:do if(m>0.0?(u=w&6,u<<16>>16!=6):0)switch(u&7){case 4:{h[f>>3]=n-m;break e}case 2:{h[x>>3]=m+p;break e}default:{A=m*.5;h[x>>3]=A+p;h[f>>3]=n-A;break e}}while(0);k=o-q-k;f:do if(k>0.0)switch(w&24){case 16:{h[r>>3]=o-k;break f}case 8:{h[s>>3]=k+q;break f}default:{A=k*.5;h[s>>3]=A+q;h[r>>3]=o-A;break f}}while(0);w=i+8|0;c[w>>2]=c[x>>2];c[w+4>>2]=c[x+4>>2];c[w+8>>2]=c[x+8>>2];c[w+12>>2]=c[x+12>>2];c[w+16>>2]=c[x+16>>2];c[w+20>>2]=c[x+20>>2];c[w+24>>2]=c[x+24>>2];c[w+28>>2]=c[x+28>>2];x=b[t>>1]&768;aG(c[j>>2]|0,(x&1023)==512?108:(x&1023)==256?114:110)}}l=y;return}function $F(a,b){a=a|0;b=b|0;c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];c[a+16>>2]=c[b+16>>2];c[a+20>>2]=c[b+20>>2];c[a+24>>2]=c[b+24>>2];c[a+28>>2]=c[b+28>>2];return}function aG(d,e){d=d|0;e=e|0;var f=0,g=0,h=0;g=b[d+4>>1]|0;f=0;while(1){if((f|0)>=(g|0))break;h=(c[d>>2]|0)+(f*24|0)+6|0;if(!(a[h>>0]|0))a[h>>0]=e;f=f+1|0}return}function bG(d,f,g){d=d|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0;l=f+84|0;t=c[l>>2]|0;u=wx()|0;v=fG()|0;i=0;h=0;k=Ol(t)|0;while(1){if(!k)break;j=Ol(c[k+8>>2]|0)|0;while(1){if(!j)break;j=c[j>>2]|0;i=i+1|0}h=h+1|0;if(a[k+12>>0]|0)jG(v,h);k=c[k>>2]|0}h=vw((i<<2)+4|0)|0;c[l>>2]=h;i=0;j=0;k=0;q=0;r=Ol(t)|0;while(1){if(!r)break;s=q&65535;p=0;o=Ol(c[r+8>>2]|0)|0;while(1){if(!o)break;n=c[o+8>>2]|0;c[h>>2]=n;k=cG(d,n,f,g)|0|k;l=dG(u,q,p,n)|0;b[n+86>>1]=s;b[n+84>>1]=l;l=l+(e[n+80>>1]|0)|0;m=q+(e[n+82>>1]|0)|0;if(kG(v,m)|0){p=n+100|0;a[p>>0]=a[p>>0]|2}p=l;h=h+4|0;o=c[o>>2]|0;i=(l|0)>(i|0)?l:i;j=(m|0)>(j|0)?m:j}q=q+1|0;r=c[r>>2]|0}c[f+100>>2]=j;c[f+104>>2]=i;Kl(t)|0;Kl(v)|0;zx(u);return k|0}function cG(f,g,i,j){f=f|0;g=g|0;i=i|0;j=j|0;var k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0.0;u=l;l=l+16|0;t=u+8|0;s=u;c[g+96>>2]=i;q=g+36|0;o=b[q>>1]|0;if(!(o&64)){if(!(b[i+36>>1]&64))n=2;else n=a[i+34>>0]|0;a[g+34>>0]=n}if(!(o&32)){n=a[i+88>>0]|0;if(n<<24>>24<=-1)if(!(b[i+36>>1]&32))n=1;else n=a[i+33>>0]|0;a[g+33>>0]=n}n=g+88|0;p=g+92|0;switch(a[p>>0]|0){case 1:{o=WF(f,c[n>>2]|0,g,j)|0;i=c[n>>2]|0;n=o;o=i+64|0;i=i+72|0;break}case 3:{o=eG(c[n>>2]|0,j)|0;i=c[n>>2]|0;n=o;o=i+16|0;i=i+24|0;break}default:{ZF(c[(c[f+16>>2]|0)+144>>2]|0,c[n>>2]|0,j);i=c[n>>2]|0;n=0;o=i+24|0;i=i+32|0}}k=+((d[g+33>>0]|0)+(d[g+34>>0]|0)<<1|0);m=+h[o>>3]+k;k=+h[i>>3]+k;i=g+38|0;do if(b[q>>1]&1){o=b[i>>1]|0;if(o<<16>>16?(r=b[g+40>>1]|0,r<<16>>16):0){if(!(m>+(o&65535)|k>+(r&65535))){m=0.0;k=0.0;break}if((a[p>>0]|0)==3){m=0.0;k=0.0;break}_l(0,122416,s)|0;n=1;m=0.0;k=0.0;break}_l(0,122449,t)|0;n=1}while(0);v=+(e[i>>1]|0);h[g+64>>3]=m>v?m:v;m=+(e[g+40>>1]|0);h[g+72>>3]=k>m?k:m;l=u;return n|0}function dG(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var f=0,g=0,h=0,i=0,j=0;j=d+80|0;i=(e[j>>1]|0)+-1|0;h=0;a:while(1){f=c;while(1){if(h)break a;g=i+f|0;while(1){if((g|0)<(f|0)){c=f;h=1;continue a}if(Ex(a,g,b)|0)break;g=g+-1|0}f=g+1|0}}h=d+82|0;f=c;while(1){if((f|0)<(c+(e[j>>1]|0)|0))g=b;else break;while(1){if((g|0)>=((e[h>>1]|0)+b|0))break;Cx(a,f,g);g=g+1|0}f=f+1|0}return c|0}function eG(b,d){b=b|0;d=d|0;var e=0.0,f=0.0,g=0,i=0,j=0,k=0,m=0;m=l;l=l+16|0;j=m;i=m+8|0;d=d+52|0;g=b+32|0;Pr(i,c[d>>2]|0,c[g>>2]|0);k=c[i>>2]|0;i=c[i+4>>2]|0;if((i&k|0)==-1){c[j>>2]=c[g>>2];_l(1,122499,j)|0;d=1;f=0.0;e=0.0}else{a[(c[(c[d>>2]|0)+16>>2]|0)+114>>0]=1;d=0;f=+(i|0);e=+(k|0)}c[b>>2]=0;c[b+4>>2]=0;c[b+8>>2]=0;c[b+12>>2]=0;h[b+16>>3]=e;h[b+24>>3]=f;l=m;return d|0}function fG(){return Ql(54908,c[4345]|0)|0}function gG(a,b,d){a=a|0;b=b|0;d=d|0;d=vw(12)|0;c[d>>2]=c[b>>2];return d|0}function hG(a,b,c){a=a|0;b=b|0;c=c|0;_I(b);return}function iG(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;b=c[b>>2]|0;e=c[d>>2]|0;return ((b|0)>(e|0)?1:((b|0)<(e|0))<<31>>31)|0}function jG(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=b;bb[c[a>>2]&31](a,e,1)|0;l=d;return}function kG(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=b;b=(bb[c[a>>2]&31](a,e,512)|0)!=0&1;l=d;return b|0}function lG(a){a=a|0;var b=0;if(!(c[42418]|0)){b=vw((a<<2)+4|0)|0;c[42418]=b;c[b>>2]=169676;c[42429]=a}c[42430]=0;return}function mG(){_I(c[42418]|0);c[42418]=0;c[42430]=0;return}function nG(){c[42430]=0;return}function oG(){var a=0,b=0,d=0;b=c[42430]|0;d=c[42418]|0;a=1;while(1){if((a|0)>(b|0)){a=5;break}if((c[(c[d+(a<<2)>>2]|0)+4>>2]|0)==(a|0))a=a+1|0;else{a=4;break}}if((a|0)==4)ma(123205,122552,59,122558);else if((a|0)==5)return}function pG(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;f=c[42418]|0;g=c[f+(a<<2)>>2]|0;h=c[g>>2]|0;while(1){b=(a|0)/2|0;d=c[f+(b<<2)>>2]|0;e=f+(a<<2)|0;if((c[d>>2]|0)>=(h|0))break;c[e>>2]=d;c[d+4>>2]=a;a=b}c[e>>2]=g;c[g+4>>2]=a;return}function qG(a){a=a|0;var b=0,d=0;d=l;l=l+16|0;b=c[42430]|0;if((b|0)==(c[42429]|0)){_l(1,122566,d)|0;a=1}else{b=b+1|0;c[42430]=b;c[(c[42418]|0)+(b<<2)>>2]=a;pG(b);oG();a=0}l=d;return a|0}function rG(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0;e=c[42418]|0;f=c[e+(a<<2)>>2]|0;g=c[f>>2]|0;h=c[42430]|0;i=(h|0)/2|0;while(1){if((a|0)>(i|0))break;d=a<<1;b=c[e+(d<<2)>>2]|0;if((d|0)<(h|0)){l=d|1;j=c[e+(l<<2)>>2]|0;k=(c[b>>2]|0)<(c[j>>2]|0);d=k?l:d;b=k?j:b}if((g|0)>=(c[b>>2]|0))break;c[e+(a<<2)>>2]=b;c[b+4>>2]=a;a=d}c[e+(a<<2)>>2]=f;c[f+4>>2]=a;return}function sG(){var a=0,b=0,d=0,e=0;b=c[42430]|0;if(!b)a=0;else{e=c[42418]|0;d=e+4|0;a=c[d>>2]|0;c[d>>2]=c[e+(b<<2)>>2];b=b+-1|0;c[42430]=b;if(b|0)rG(1);oG()}return a|0}function tG(a,b){a=a|0;b=b|0;c[a>>2]=b;pG(c[a+4>>2]|0);oG();return}function uG(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;m=b+16|0;j=c[m>>2]|0;j=(a[j+((c[e+12>>2]|0)*40|0)+36>>0]|0)!=(a[j+((c[e+16>>2]|0)*40|0)+36>>0]|0);k=~~((+h[d+64>>3]+-3.0-+h[d+48>>3])*.5);l=~~((+h[d+56>>3]+-3.0-+h[d+40>>3])*.5);g=(k|0)<(l|0)?k:l;n=d+4|0;f=0;while(1){b=c[n>>2]|0;if((f|0)>=(b|0)){g=f;break}i=c[d+8+(f<<2)>>2]|0;o=c[m>>2]|0;if((a[o+((c[i+12>>2]|0)*40|0)+36>>0]|0)==(a[o+((c[i+16>>2]|0)*40|0)+36>>0]|0)){g=f;break}vG(i,g);f=f+1|0}while(1){if((g|0)>=(b|0))break;f=c[d+8+(g<<2)>>2]|0;if(j|(f|0)==(e|0)){vG(f,a[(c[m>>2]|0)+((c[f+12>>2]|0)*40|0)+36>>0]|0?k:l);b=c[n>>2]|0}g=g+1|0}return}function vG(a,b){a=a|0;b=b|0;var d=0,e=0;d=a+8|0;e=c[d>>2]|0;c[d>>2]=e+1;if((e|0)>=(b|0)){c[d>>2]=0;h[a>>3]=+h[a>>3]+16384.0}return}function wG(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0.0,z=0.0,A=0.0,B=0.0,C=0,D=0,E=0.0;x=l;l=l+112|0;u=x+64|0;t=x+96|0;m=x+32|0;v=x;w=vw(28)|0;b=mn(a)|0;s=w+4|0;c[s>>2]=b;b=vw(b*72|0)|0;r=w+12|0;c[r>>2]=b;e=v+8|0;h[e>>3]=1797693134862315708145274.0e284;h[v>>3]=1797693134862315708145274.0e284;f=v+24|0;h[f>>3]=-1797693134862315708145274.0e284;g=v+16|0;h[g>>3]=-1797693134862315708145274.0e284;i=m+16|0;j=m+8|0;k=m+24|0;d=co(a)|0;n=1797693134862315708145274.0e284;o=1797693134862315708145274.0e284;p=-1797693134862315708145274.0e284;q=-1797693134862315708145274.0e284;while(1){if(!d)break;C=d+16|0;D=c[C>>2]|0;z=(+h[D+96>>3]+ +h[D+88>>3])*.5;z=z<1.0?1.0:z;y=+h[D+80>>3]*.5;y=y<1.0?1.0:y;E=+h[D+16>>3];B=E-z;h[m>>3]=B;z=E+z;h[i>>3]=z;E=+h[D+24>>3];A=E-y;h[j>>3]=A;y=E+y;h[k>>3]=y;B=+h[(n<B?v:m)>>3];h[v>>3]=B;A=+h[(o<A?v:m)+8>>3];h[e>>3]=A;z=+h[(p>z?v:m)+16>>3];h[g>>3]=z;y=+h[(q>y?v:m)+24>>3];h[f>>3]=y;D=b+40|0;c[D>>2]=c[m>>2];c[D+4>>2]=c[m+4>>2];c[D+8>>2]=c[m+8>>2];c[D+12>>2]=c[m+12>>2];c[D+16>>2]=c[m+16>>2];c[D+20>>2]=c[m+20>>2];c[D+24>>2]=c[m+24>>2];c[D+28>>2]=c[m+28>>2];c[b>>2]=c[b>>2]|1;c[(c[C>>2]|0)+112>>2]=b;b=b+72|0;d=eo(a,d)|0;n=B;o=A;p=z;q=y}h[v>>3]=n+-36.0;h[e>>3]=o+-36.0;h[g>>3]=p+36.0;h[f>>3]=q+36.0;D=c[r>>2]|0;f=c[s>>2]|0;c[u>>2]=c[v>>2];c[u+4>>2]=c[v+4>>2];c[u+8>>2]=c[v+8>>2];c[u+12>>2]=c[v+12>>2];c[u+16>>2]=c[v+16>>2];c[u+20>>2]=c[v+20>>2];c[u+24>>2]=c[v+24>>2];c[u+28>>2]=c[v+28>>2];f=GG(D,f,t,u)|0;if(c[42366]&1|0){r=c[r>>2]|0;C=c[s>>2]|0;D=c[t>>2]|0;c[u>>2]=c[v>>2];c[u+4>>2]=c[v+4>>2];c[u+8>>2]=c[v+8>>2];c[u+12>>2]=c[v+12>>2];c[u+16>>2]=c[v+16>>2];c[u+20>>2]=c[v+20>>2];c[u+24>>2]=c[v+24>>2];c[u+28>>2]=c[v+28>>2];xG(r,C,u,f,D)}e=w+8|0;c[e>>2]=vw((c[t>>2]|0)*72|0)|0;c[w>>2]=c[t>>2];d=c[t>>2]|0;b=0;while(1){if((b|0)>=(d|0))break;D=(c[e>>2]|0)+(b*72|0)+40|0;C=f+(b<<5)|0;c[D>>2]=c[C>>2];c[D+4>>2]=c[C+4>>2];c[D+8>>2]=c[C+8>>2];c[D+12>>2]=c[C+12>>2];c[D+16>>2]=c[C+16>>2];c[D+20>>2]=c[C+20>>2];c[D+24>>2]=c[C+24>>2];c[D+28>>2]=c[C+28>>2];b=b+1|0}_I(f);c[u>>2]=c[v>>2];c[u+4>>2]=c[v+4>>2];c[u+8>>2]=c[v+8>>2];c[u+12>>2]=c[v+12>>2];c[u+16>>2]=c[v+16>>2];c[u+20>>2]=c[v+20>>2];c[u+24>>2]=c[v+24>>2];c[u+28>>2]=c[v+28>>2];c[w+16>>2]=yG(w,u)|0;l=x;return w|0}function xG(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0.0,i=0,j=0,k=0.0,m=0.0,n=0.0,o=0,p=0,q=0,r=0,s=0,t=0.0,u=0.0,v=0.0;q=l;l=l+128|0;p=q+96|0;o=q+64|0;j=q+32|0;r=q+16|0;s=q;m=+h[d+16>>3];n=+h[d>>3];k=+h[d+24>>3];g=+h[d+8>>3];i=c[13918]|0;WL(122581,i)|0;c[s>>2]=10;c[s+4>>2]=10;c[s+8>>2]=~~(m+10.0-n);c[s+12>>2]=~~(k+10.0-g);zL(i,123011,s)|0;h[r>>3]=10.0-n;h[r+8>>3]=10.0-g;zL(i,123059,r)|0;WL(123076,i)|0;d=0;while(1){if((d|0)>=(b|0))break;v=+h[a+(d*72|0)+48>>3];u=+h[a+(d*72|0)+56>>3];t=+h[a+(d*72|0)+64>>3];h[j>>3]=+h[a+(d*72|0)+40>>3];h[j+8>>3]=v;h[j+16>>3]=u;h[j+24>>3]=t;zL(i,123095,j)|0;d=d+1|0}WL(123113,i)|0;d=0;while(1){if((d|0)>=(f|0))break;t=+h[e+(d<<5)+8>>3];u=+h[e+(d<<5)+16>>3];v=+h[e+(d<<5)+24>>3];h[o>>3]=+h[e+(d<<5)>>3];h[o+8>>3]=t;h[o+16>>3]=u;h[o+24>>3]=v;zL(i,123132,o)|0;d=d+1|0}WL(123150,i)|0;h[p>>3]=n;h[p+8>>3]=g;h[p+16>>3]=m;h[p+24>>3]=k;zL(i,123132,p)|0;WL(122897,i)|0;l=q;return}function yG(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0;A=l;l=l+32|0;t=A+16|0;k=A;w=c[a>>2]|0;y=WC(w<<2|2)|0;z=Ql(54944,c[4345]|0)|0;v=Ql(54980,c[4345]|0)|0;w=vw(w<<7)|0;f=vw(c[a>>2]<<4)|0;x=a+8|0;g=b+16|0;i=k+8|0;j=b+24|0;m=b+8|0;d=0;while(1){if((d|0)>=(c[a>>2]|0))break;n=c[x>>2]|0;o=n+(d*72|0)|0;c[n+(d*72|0)+32>>2]=4;p=n+(d*72|0)+36|0;c[p>>2]=f+(d<<2<<2);q=n+(d*72|0)+40|0;e=+h[n+(d*72|0)+56>>3];if(e<+h[g>>3]){h[k>>3]=e;h[i>>3]=+h[n+(d*72|0)+48>>3];c[t>>2]=c[k>>2];c[t+4>>2]=c[k+4>>2];c[t+8>>2]=c[k+8>>2];c[t+12>>2]=c[k+12>>2];s=zG(y,z,t,w,1)|0;c[s+20>>2]=o;c[c[p>>2]>>2]=s}e=+h[n+(d*72|0)+64>>3];if(e<+h[j>>3]){h[k>>3]=+h[q>>3];h[i>>3]=e;c[t>>2]=c[k>>2];c[t+4>>2]=c[k+4>>2];c[t+8>>2]=c[k+8>>2];c[t+12>>2]=c[k+12>>2];s=zG(y,v,t,w,0)|0;c[s+20>>2]=o;c[(c[p>>2]|0)+4>>2]=s}if(+h[q>>3]>+h[b>>3]){c[t>>2]=c[q>>2];c[t+4>>2]=c[q+4>>2];c[t+8>>2]=c[q+8>>2];c[t+12>>2]=c[q+12>>2];s=zG(y,z,t,w,1)|0;c[s+24>>2]=o;c[(c[p>>2]|0)+8>>2]=s}if(+h[n+(d*72|0)+48>>3]>+h[m>>3]){c[t>>2]=c[q>>2];c[t+4>>2]=c[q+4>>2];c[t+8>>2]=c[q+8>>2];c[t+12>>2]=c[q+12>>2];s=zG(y,v,t,w,0)|0;c[s+24>>2]=o;c[(c[p>>2]|0)+12>>2]=s}d=d+1|0}o=vw(c[y>>2]<<2)|0;r=a+4|0;s=a+12|0;p=t+8|0;m=0;q=0;n=0;while(1){d=c[r>>2]|0;if((n|0)>=(d|0)){b=0;break}g=c[s>>2]|0;i=g+(n*72|0)|0;j=g+(n*72|0)+36|0;c[j>>2]=o+(m<<2);b=g+(n*72|0)+40|0;c[t>>2]=c[b>>2];c[t+4>>2]=c[b+4>>2];c[t+8>>2]=c[b+8>>2];c[t+12>>2]=c[b+12>>2];b=g+(n*72|0)+56|0;k=g+(n*72|0)+32|0;d=bb[c[v>>2]&31](v,t,512)|0;while(1){if(!d)break;if(!(+h[d+8>>3]<+h[b>>3]))break;C=c[d>>2]|0;B=c[j>>2]|0;f=c[k>>2]|0;c[k>>2]=f+1;c[B+(f<<2)>>2]=C;c[(c[d>>2]|0)+24>>2]=i;d=bb[c[v>>2]&31](v,d,8)|0}f=g+(n*72|0)+64|0;d=bb[c[z>>2]&31](z,t,512)|0;while(1){if(!d){u=20;break}e=+h[f>>3];if(!(+h[d+16>>3]<e))break;b=c[d>>2]|0;B=c[j>>2]|0;C=c[k>>2]|0;c[k>>2]=C+1;c[B+(C<<2)>>2]=b;c[(c[d>>2]|0)+24>>2]=i;d=bb[c[z>>2]&31](z,d,8)|0}if((u|0)==20){u=0;e=+h[f>>3]}h[p>>3]=e;b=g+(n*72|0)+56|0;d=bb[c[v>>2]&31](v,t,512)|0;while(1){if(!d){u=25;break}e=+h[b>>3];if(!(+h[d+8>>3]<e))break;D=c[d>>2]|0;B=c[j>>2]|0;C=c[k>>2]|0;c[k>>2]=C+1;c[B+(C<<2)>>2]=D;c[(c[d>>2]|0)+20>>2]=i;d=bb[c[v>>2]&31](v,d,8)|0}if((u|0)==25){u=0;e=+h[b>>3]}h[t>>3]=e;h[p>>3]=+h[g+(n*72|0)+48>>3];d=bb[c[z>>2]&31](z,t,512)|0;while(1){if(!d)break;if(!(+h[d+16>>3]<+h[f>>3]))break;B=c[d>>2]|0;C=c[j>>2]|0;D=c[k>>2]|0;c[k>>2]=D+1;c[C+(D<<2)>>2]=B;c[(c[d>>2]|0)+20>>2]=i;d=bb[c[z>>2]&31](z,d,8)|0}D=c[k>>2]|0;m=D+m|0;q=(D|0)>(q|0)?D:q;n=n+1|0}while(1){if((b|0)>=(d|0))break;AG((c[s>>2]|0)+(b*72|0)|0);b=b+1|0;d=c[r>>2]|0}d=c[y>>2]|0;D=c[y+16>>2]|0;c[D+(d*40|0)+32>>2]=d;d=d+1|0;c[D+(d*40|0)+32>>2]=d;VC(y,q);d=0;while(1){if((d|0)>=(c[a>>2]|0))break;BG((c[x>>2]|0)+(d*72|0)|0,y);d=d+1|0}Kl(z)|0;Kl(v)|0;_I(w);CG(y);TC(y);l=A;return y|0}function zG(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0;h=bb[c[d>>2]&31](d,e,512)|0;do if(!h){b=XC(b)|0;if(!f)ma(122994,122942,291,123001);else{h=c[b+32>>2]|0;i=f+(h<<5)|0;f=f+(h<<5)+8|0;c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];c[f+8>>2]=c[e+8>>2];c[f+12>>2]=c[e+12>>2];c[i>>2]=b;a[b+36>>0]=g;bb[c[d>>2]&31](d,i,1)|0;break}}else i=h;while(0);return c[i>>2]|0}function AG(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0;a:do if((+h[b+64>>3]+-3.0-+h[b+48>>3])*.5<2.0){i=c[b+32>>2]|0;j=b+36|0;g=0;while(1){if((g|0)>=(i|0))break a;d=c[(c[j>>2]|0)+(g<<2)>>2]|0;b:do if(a[d+36>>0]|0){f=c[d+20>>2]|0;if((f|0)==(b|0)){e=c[d+24>>2]|0;d=e;e=c[e>>2]|0;do{c[d>>2]=e|8;d=c[c[d+36>>2]>>2]|0;if(!d)break b;d=c[d+24>>2]|0;e=c[d>>2]|0}while(!(e&1|0))}else{e=f;d=c[f>>2]|0;do{c[e>>2]=d|8;d=c[(c[e+36>>2]|0)+8>>2]|0;if(!d)break b;e=c[d+20>>2]|0;d=c[e>>2]|0}while(!(d&1|0))}}while(0);g=g+1|0}}while(0);c:do if((+h[b+56>>3]+-3.0-+h[b+40>>3])*.5<2.0){i=c[b+32>>2]|0;j=b+36|0;g=0;while(1){if((g|0)>=(i|0))break c;d=c[(c[j>>2]|0)+(g<<2)>>2]|0;d:do if(!(a[d+36>>0]|0)){f=c[d+20>>2]|0;if((f|0)==(b|0)){e=c[d+24>>2]|0;d=e;e=c[e>>2]|0;do{c[d>>2]=e|16;d=c[(c[d+36>>2]|0)+4>>2]|0;if(!d)break d;d=c[d+24>>2]|0;e=c[d>>2]|0}while(!(e&1|0))}else{e=f;d=c[f>>2]|0;do{c[e>>2]=d|16;d=c[(c[e+36>>2]|0)+12>>2]|0;if(!d)break d;e=c[d+20>>2]|0;d=c[e>>2]|0}while(!(d&1|0))}}while(0);g=g+1|0}}while(0);return}function BG(a,b){a=a|0;b=b|0;var d=0,e=0,f=0.0,g=0.0,i=0.0,j=0,k=0,l=0,m=0,n=0,o=0,p=0.0,q=0;g=+h[a+56>>3]-+h[a+40>>3];i=+h[a+64>>3]-+h[a+48>>3];f=(i+g)*.5+500.0;if((i+-3.0)*.5<2.0){l=(c[a>>2]&8|0)==0;f=l?16384.0:f;p=l?16384.0:g}else p=g;if((g+-3.0)*.5<2.0){l=(c[a>>2]&16|0)==0;i=l?16384.0:i;f=l?16384.0:f}l=a+36|0;d=c[l>>2]|0;e=c[d+8>>2]|0;if((e|0)!=0?(j=c[d+4>>2]|0,(j|0)!=0):0){j=YC(b,e,j,f)|0;e=a+4|0;d=c[e>>2]|0;c[e>>2]=d+1;c[a+8+(d<<2)>>2]=j;d=c[l>>2]|0}e=c[d+4>>2]|0;if((e|0)!=0?(k=c[d>>2]|0,(k|0)!=0):0){k=YC(b,e,k,f)|0;j=a+4|0;d=c[j>>2]|0;c[j>>2]=d+1;c[a+8+(d<<2)>>2]=k;d=c[l>>2]|0}e=c[d+8>>2]|0;if((e|0)!=0?(m=c[d+12>>2]|0,(m|0)!=0):0){m=YC(b,e,m,f)|0;k=a+4|0;d=c[k>>2]|0;c[k>>2]=d+1;c[a+8+(d<<2)>>2]=m;d=c[l>>2]|0}e=c[d+12>>2]|0;if((e|0)!=0?(n=c[d>>2]|0,(n|0)!=0):0){n=YC(b,e,n,f)|0;m=a+4|0;d=c[m>>2]|0;c[m>>2]=d+1;c[a+8+(d<<2)>>2]=n;d=c[l>>2]|0}e=c[d+4>>2]|0;if((e|0)!=0?(o=c[d+12>>2]|0,(o|0)!=0):0){o=YC(b,e,o,i)|0;n=a+4|0;d=c[n>>2]|0;c[n>>2]=d+1;c[a+8+(d<<2)>>2]=o;d=c[l>>2]|0}e=c[d+8>>2]|0;if(e|0?(q=c[d>>2]|0,q|0):0){b=YC(b,e,q,p)|0;o=a+4|0;q=c[o>>2]|0;c[o>>2]=q+1;c[a+8+(q<<2)>>2]=b}return}function CG(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0;j=l;l=l+16|0;i=j+8|0;h=j;f=a+16|0;g=c[13918]|0;e=0;while(1){if((e|0)>=(c[a>>2]|0)){b=10;break}b=c[f>>2]|0;d=b+(e*40|0)+20|0;if((c[d>>2]|0)==0?(c[h>>2]=e,zL(g,122907,h)|0,(c[d>>2]|0)==0):0){b=5;break}b=b+(e*40|0)+24|0;if((c[b>>2]|0)==0?(c[i>>2]=e,zL(g,122959,i)|0,(c[b>>2]|0)==0):0){b=8;break}e=e+1|0}if((b|0)==5)ma(122929,122942,311,122949);else if((b|0)==8)ma(122981,122942,313,122949);else if((b|0)==10){l=j;return}}function DG(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0.0,f=0.0;e=+h[b+8>>3];f=+h[c+8>>3];if(!(e>f))if(!(e<f)){f=+h[b>>3];e=+h[c>>3];if(f>e)a=1;else a=(f<e)<<31>>31}else a=-1;else a=1;return a|0}function EG(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0.0,f=0.0;e=+h[b>>3];f=+h[c>>3];if(!(e>f))if(!(e<f)){f=+h[b+8>>3];e=+h[c+8>>3];if(f>e)a=1;else a=(f<e)<<31>>31}else a=-1;else a=1;return a|0}function FG(a){a=a|0;var b=0,d=0;d=a+8|0;_I(c[(c[d>>2]|0)+36>>2]|0);b=a+12|0;_I(c[(c[b>>2]|0)+36>>2]|0);_I(c[d>>2]|0);_I(c[b>>2]|0);_C(c[a+16>>2]|0);Kl(c[a+20>>2]|0)|0;Kl(c[a+24>>2]|0)|0;_I(a);return}function GG(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;p=l;l=l+32|0;h=p;i=b<<2;f=i+4|0;i=i+5|0;o=ww(i*56|0)|0;i=vw(i<<2)|0;g=f*5|1;j=ww(g*72|0)|0;m=g<<5;k=vw(m)|0;m=vw(m)|0;c[h>>2]=c[e>>2];c[h+4>>2]=c[e+4>>2];c[h+8>>2]=c[e+8>>2];c[h+12>>2]=c[e+12>>2];c[h+16>>2]=c[e+16>>2];c[h+20>>2]=c[e+20>>2];c[h+24>>2]=c[e+24>>2];c[h+28>>2]=c[e+28>>2];HG(a,b,h,o,0);yM(173);IG(f,i);SG(f,o,i,g,j)|0;n=JG(f,o,j,0,k)|0;c[h>>2]=c[e>>2];c[h+4>>2]=c[e+4>>2];c[h+8>>2]=c[e+8>>2];c[h+12>>2]=c[e+12>>2];c[h+16>>2]=c[e+16>>2];c[h+20>>2]=c[e+20>>2];c[h+24>>2]=c[e+24>>2];c[h+28>>2]=c[e+28>>2];HG(a,b,h,o,1);IG(f,i);SG(f,o,i,g,j)|0;f=JG(f,o,j,1,m)|0;g=vw(O(n<<5,f)|0)|0;b=0;a=0;while(1){if((b|0)>=(f|0))break;h=m+(b<<5)|0;e=0;while(1){if((e|0)>=(n|0))break;q=a+((KG(g+(a<<5)|0,h,k+(e<<5)|0)|0)!=0&1)|0;e=e+1|0;a=q}b=b+1|0}q=yw(g,a<<5)|0;_I(o);_I(i);_I(j);_I(k);_I(m);c[d>>2]=a;l=p;return q|0}function HG(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0;j=l;l=l+96|0;h=j+64|0;i=j;c[h>>2]=c[d>>2];c[h+4>>2]=c[d+4>>2];c[h+8>>2]=c[d+8>>2];c[h+12>>2]=c[d+12>>2];c[h+16>>2]=c[d+16>>2];c[h+20>>2]=c[d+20>>2];c[h+24>>2]=c[d+24>>2];c[h+28>>2]=c[d+28>>2];QG(h,f,1,i);d=RG(e,1,i)|0;g=0;while(1){if((g|0)>=(b|0))break;k=a+(g*72|0)+40|0;c[h>>2]=c[k>>2];c[h+4>>2]=c[k+4>>2];c[h+8>>2]=c[k+8>>2];c[h+12>>2]=c[k+12>>2];c[h+16>>2]=c[k+16>>2];c[h+20>>2]=c[k+20>>2];c[h+24>>2]=c[k+24>>2];c[h+28>>2]=c[k+28>>2];QG(h,f,0,i);d=RG(e,d,i)|0;g=g+1|0}l=j;return}function IG(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;d=0;while(1){if((d|0)>(a|0))break;c[b+(d<<2)>>2]=d;d=d+1|0}g=a+1|0;d=1;while(1){if((d|0)>(a|0))break;h=~~(+AM()*+(g-d|0)+ +(d|0));e=b+(d<<2)|0;f=b+(h<<2)|0;if((d|0)!=(h|0)){h=c[e>>2]|0;c[e>>2]=c[f>>2];c[f>>2]=h}d=d+1|0}return}function JG(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;g=a*5|0;j=g+1|0;l=vw(j<<2)|0;c[42431]=vw(j<<4)|0;c[42432]=vw((a*56|0)+56|0)|0;j=vw(a<<2)|0;c[42433]=j;k=0;while(1){if((k|0)>(g|0))break;if(LG(d+(k*72|0)|0,b)|0)break;k=k+1|0}h=c[42431]|0;i=c[42432]|0;g=1;while(1){if((g|0)>(a|0))break;c[h+(g<<4)+8>>2]=c[b+(g*56|0)+48>>2];m=b+(g*56|0)+44|0;c[h+(g<<4)+4>>2]=c[m>>2];c[h+(g<<4)>>2]=g;n=i+(g*56|0)|0;o=b+(g*56|0)|0;c[n>>2]=c[o>>2];c[n+4>>2]=c[o+4>>2];c[n+8>>2]=c[o+8>>2];c[n+12>>2]=c[o+12>>2];c[i+(g*56|0)+16>>2]=c[m>>2];c[i+(g*56|0)+32>>2]=g;c[i+(g*56|0)+48>>2]=1;g=g+1|0}c[42434]=a;c[42435]=0;c[j>>2]=1;g=c[d+(k*72|0)+40>>2]|0;if((g|0)<=0){g=c[d+(k*72|0)+48>>2]|0;if((g|0)>0)g=MG(l,f,0,b,d,0,k,g,e,2)|0;else g=0}else g=MG(l,f,0,b,d,0,k,g,e,1)|0;_I(l);_I(c[42431]|0);_I(c[42432]|0);_I(c[42433]|0);return g|0}function KG(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0,f=0.0,g=0.0;g=+h[(+h[b>>3]>+h[c>>3]?b:c)>>3];f=+h[(+h[b+16>>3]<+h[c+16>>3]?b:c)+16>>3];h[a+16>>3]=f;h[a>>3]=g;e=+h[(+h[b+8>>3]>+h[c+8>>3]?b:c)+8>>3];d=+h[(+h[b+24>>3]<+h[c+24>>3]?b:c)+24>>3];h[a+24>>3]=d;h[a+8>>3]=e;return !(g>=f)&!(e>=d)&1|0}function LG(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0;f=c[a+4>>2]|0;do if((c[a+68>>2]|0)!=2?!((f|0)<1|(c[a>>2]|0)<1):0){if(!((c[a+40>>2]|0)<1?(c[a+44>>2]|0)<1:0)){if((c[a+48>>2]|0)>=1){a=0;break}if((c[a+52>>2]|0)>=1){a=0;break}}d=+h[b+(f*56|0)+24>>3];e=+h[b+(f*56|0)+8>>3];if(!(d>e+1.0e-07))if(d<e+-1.0e-07)a=0;else a=+h[b+(f*56|0)+16>>3]>+h[b+(f*56|0)>>3]&1;else a=1}else a=0;while(0);return a|0}function MG(a,b,d,e,f,g,i,j,k,l){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;j=j|0;k=k|0;l=l|0;var m=0,n=0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0.0,J=0,K=0.0,L=0,M=0,N=0,O=0,P=0;D=(k|0)==0;C=i;a:while(1){y=f+(C*72|0)|0;if((C|0)<1)break;i=a+(C<<2)|0;if(c[i>>2]|0)break;c[i>>2]=1;v=f+(C*72|0)+8|0;t=f+(C*72|0)+16|0;p=+h[t>>3];w=f+(C*72|0)+24|0;x=f+(C*72|0)+32|0;o=+h[x>>3];if((p>o?(A=c[y>>2]|0,I=+h[e+(A*56|0)>>3],I==+h[e+(A*56|0)+16>>3]):0)?(A=c[f+(C*72|0)+4>>2]|0,K=+h[e+(A*56|0)>>3],K==+h[e+(A*56|0)+16>>3]):0){i=b+(d<<5)|0;if(D){h[i>>3]=I;q=p;p=K}else{h[i>>3]=o;q=-I;o=-K}h[b+(d<<5)+8>>3]=o;h[b+(d<<5)+16>>3]=p;h[b+(d<<5)+24>>3]=q;d=d+1|0}i=f+(C*72|0)+40|0;z=c[i>>2]|0;do if((z|0)<1?(L=f+(C*72|0)+44|0,(c[L>>2]|0)<1):0){i=f+(C*72|0)+48|0;n=f+(C*72|0)+52|0;if((c[i>>2]|0)>0?(M=c[n>>2]|0,(M|0)>0):0){m=c[f+(M*72|0)>>2]|0;l=c[y>>2]|0;if((M|0)==(j|0)){l=NG(g,l,m)|0;d=MG(a,b,d,e,f,g,c[n>>2]|0,C,k,1)|0;g=l;l=1;break}else{l=NG(g,m,l)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,1)|0;g=l;i=n;l=1;break}}d=MG(a,b,d,e,f,g,z,C,k,2)|0;d=MG(a,b,d,e,f,g,c[L>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,1)|0;i=n;l=1}else P=19;while(0);do if((P|0)==19){P=0;A=f+(C*72|0)+48|0;r=c[A>>2]|0;if((r|0)<1?(N=f+(C*72|0)+52|0,(c[N>>2]|0)<1):0){n=f+(C*72|0)+44|0;if((z|0)>0?(O=c[n>>2]|0,(O|0)>0):0){m=c[f+(C*72|0)+4>>2]|0;l=c[f+(z*72|0)+4>>2]|0;if((O|0)==(j|0)){l=NG(g,l,m)|0;d=MG(a,b,d,e,f,g,c[n>>2]|0,C,k,2)|0;g=l;l=2;break}else{l=NG(g,m,l)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,2)|0;g=l;i=n;l=2;break}}d=MG(a,b,d,e,f,g,z,C,k,2)|0;d=MG(a,b,d,e,f,g,c[n>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;i=N;l=1;break}u=f+(C*72|0)+44|0;s=c[u>>2]|0;m=(s|0)>0;if((z|0)>0){if(m){if((r|0)>0?(E=f+(C*72|0)+52|0,F=c[E>>2]|0,(F|0)>0):0){n=c[f+(F*72|0)>>2]|0;m=c[f+(z*72|0)+4>>2]|0;if(!((l|0)==2&(F|0)==(j|0))?!((l|0)==1&(s|0)==(j|0)):0){l=NG(g,n,m)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,l,c[u>>2]|0,C,k,2)|0;g=l;i=E;l=1;break}l=NG(g,m,n)|0;d=MG(a,b,d,e,f,g,c[u>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[E>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,l,c[i>>2]|0,C,k,2)|0;g=l;i=A;l=1;break}m=c[y>>2]|0;if(+B(+(+h[x>>3]-+h[e+(m*56|0)+24>>3]))<=1.0e-07?+B(+(+h[w>>3]-+h[e+(m*56|0)+16>>3]))<=1.0e-07:0){n=c[f+(z*72|0)+4>>2]|0;m=c[e+(m*56|0)+44>>2]|0;if((l|0)==1&(z|0)==(j|0)){l=NG(g,m,n)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,l,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,l,c[u>>2]|0,C,k,2)|0;g=l;i=f+(C*72|0)+52|0;l=1;break}else{l=NG(g,n,m)|0;d=MG(a,b,d,e,f,g,c[u>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+52>>2]|0,C,k,1)|0;g=l;l=2;break}}n=c[f+(C*72|0)+4>>2]|0;m=c[f+(z*72|0)+4>>2]|0;if((l|0)==1&(s|0)==(j|0)){l=NG(g,m,n)|0;d=MG(a,b,d,e,f,g,c[u>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,l,c[f+(C*72|0)+52>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,l,c[A>>2]|0,C,k,1)|0;g=l;l=2;break}else{l=NG(g,n,m)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+52>>2]|0,C,k,1)|0;g=l;i=u;l=2;break}}}else if(!m)break a;if((r|0)>0?(G=f+(C*72|0)+52|0,H=c[G>>2]|0,(H|0)>0):0){n=c[y>>2]|0;if(+B(+(+h[t>>3]-+h[e+(n*56|0)+8>>3]))<=1.0e-07?+B(+(+h[v>>3]-+h[e+(n*56|0)>>3]))<=1.0e-07:0){m=c[f+(H*72|0)>>2]|0;if((l|0)==2&(r|0)==(j|0)){l=NG(g,m,n)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,l,c[i>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,l,c[f+(C*72|0)+44>>2]|0,C,k,2)|0;g=l;i=G;l=1;break}else{l=NG(g,n,m)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+44>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[G>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,2)|0;g=l;i=A;l=1;break}}m=c[f+(H*72|0)>>2]|0;n=c[e+((c[f+(C*72|0)+4>>2]|0)*56|0)+44>>2]|0;if((l|0)==2&(H|0)==(j|0)){l=NG(g,n,m)|0;d=MG(a,b,d,e,f,g,c[G>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,l,c[f+(C*72|0)+44>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,l,c[i>>2]|0,C,k,2)|0;g=l;i=A;l=1;break}else{l=NG(g,m,n)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+44>>2]|0,C,k,2)|0;g=l;i=G;l=1;break}}o=+h[t>>3];n=c[y>>2]|0;if(((+B(+(o-+h[e+(n*56|0)+8>>3]))<=1.0e-07?+B(+(+h[v>>3]-+h[e+(n*56|0)>>3]))<=1.0e-07:0)?(J=c[f+(C*72|0)+4>>2]|0,+B(+(+h[x>>3]-+h[e+(J*56|0)+8>>3]))<=1.0e-07):0)?+B(+(+h[w>>3]-+h[e+(J*56|0)>>3]))<=1.0e-07:0)if((l|0)==1){l=NG(g,n,J)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+44>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,l,c[f+(C*72|0)+52>>2]|0,C,k,1)|0;g=l;i=A;l=1;break}else{l=NG(g,J,n)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+52>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,l,c[i>>2]|0,C,k,2)|0;g=l;i=f+(C*72|0)+44|0;l=2;break}j=c[f+(C*72|0)+4>>2]|0;if(((+B(+(o-+h[e+(j*56|0)+24>>3]))<=1.0e-07?+B(+(+h[v>>3]-+h[e+(j*56|0)+16>>3]))<=1.0e-07:0)?+B(+(+h[x>>3]-+h[e+(n*56|0)+24>>3]))<=1.0e-07:0)?+B(+(+h[w>>3]-+h[e+(n*56|0)+16>>3]))<=1.0e-07:0){m=c[e+(j*56|0)+44>>2]|0;j=c[e+(n*56|0)+44>>2]|0;if((l|0)==1){l=NG(g,j,m)|0;d=MG(a,b,d,e,f,g,c[i>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+44>>2]|0,C,k,2)|0;d=MG(a,b,d,e,f,l,c[f+(C*72|0)+52>>2]|0,C,k,1)|0;g=l;i=A;l=1;break}else{l=NG(g,m,j)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+52>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,l,c[i>>2]|0,C,k,2)|0;g=l;i=f+(C*72|0)+44|0;l=2;break}}d=MG(a,b,d,e,f,g,z,C,k,2)|0;d=MG(a,b,d,e,f,g,c[A>>2]|0,C,k,1)|0;d=MG(a,b,d,e,f,g,c[f+(C*72|0)+44>>2]|0,C,k,2)|0;i=f+(C*72|0)+52|0;l=1}while(0);j=C;C=c[i>>2]|0}return d|0}function NG(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0;f=l;l=l+16|0;r=f+4|0;i=f;e=(c[42435]|0)+1|0;c[42435]=e;m=c[42432]|0;OG(b,d,r,i);r=c[r>>2]|0;h=c[m+(b*56|0)+32+(r<<2)>>2]|0;i=c[m+(d*56|0)+32+(c[i>>2]<<2)>>2]|0;n=c[42434]|0;g=n+1|0;n=n+2|0;c[42434]=n;q=c[42431]|0;c[q+(g<<4)>>2]=b;c[q+(n<<4)>>2]=d;o=q+(h<<4)+4|0;p=q+(g<<4)+4|0;c[p>>2]=c[o>>2];c[q+(c[o>>2]<<4)+8>>2]=g;c[q+(g<<4)+8>>2]=n;c[q+(n<<4)+4>>2]=g;j=q+(i<<4)+8|0;c[q+(n<<4)+8>>2]=c[j>>2];c[q+(c[j>>2]<<4)+4>>2]=n;c[o>>2]=i;c[j>>2]=h;j=m+(b*56|0)+48|0;o=c[j>>2]|0;i=m+(d*56|0)+48|0;k=c[i>>2]|0;c[m+(b*56|0)+16+(r<<2)>>2]=d;c[m+(b*56|0)+32+(o<<2)>>2]=g;c[m+(b*56|0)+16+(o<<2)>>2]=c[q+(c[p>>2]<<4)>>2];c[m+(d*56|0)+32+(k<<2)>>2]=n;c[m+(d*56|0)+16+(k<<2)>>2]=b;c[j>>2]=(c[j>>2]|0)+1;c[i>>2]=(c[i>>2]|0)+1;d=c[42433]|0;c[d+(a<<2)>>2]=h;c[d+(e<<2)>>2]=g;l=f;return e|0}function OG(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0.0,h=0,i=0,j=0.0,k=0.0,l=0,m=0,n=0;l=c[42432]|0;m=l+(a*56|0)|0;n=l+(b*56|0)|0;f=0;g=-4.0;i=0;while(1){if((i|0)==4)break;h=c[l+(a*56|0)+16+(i<<2)>>2]|0;if((h|0)>=1?(j=+PG(m,l+(h*56|0)|0,n),j>g):0){f=i;g=j}i=i+1|0}c[d>>2]=f;f=0;i=0;g=-4.0;while(1){if((i|0)==4)break;h=c[l+(b*56|0)+16+(i<<2)>>2]|0;if((h|0)>=1?(k=+PG(n,l+(h*56|0)|0,m),k>g):0){f=i;g=k}i=i+1|0}c[e>>2]=f;return}function PG(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0,f=0.0,g=0.0,i=0.0;g=+h[a>>3];i=+h[b>>3]-g;d=+h[a+8>>3];f=+h[b+8>>3]-d;g=+h[c>>3]-g;d=+h[c+8>>3]-d;e=d*f+g*i;if(!(d*i-g*f>=0.0))d=-e/(+C(+(d*d+g*g))*+C(+(f*f+i*i)))+-2.0;else d=e/(+C(+(d*d+g*g))*+C(+(f*f+i*i)));return +d}function QG(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0.0,l=0.0;c[e>>2]=c[a>>2];c[e+4>>2]=c[a+4>>2];c[e+8>>2]=c[a+8>>2];c[e+12>>2]=c[a+12>>2];i=e+32|0;j=a+16|0;c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];c[i+8>>2]=c[j+8>>2];c[i+12>>2]=c[j+12>>2];if(!d){f=a+8|0;g=j;i=a+24|0;d=a}else{f=a+24|0;g=a;i=a+8|0;d=j}k=+h[g>>3];l=+h[i>>3];h[e+16>>3]=+h[d>>3];h[e+24>>3]=l;h[e+48>>3]=k;h[e+56>>3]=+h[f>>3];a:do if(b|0){d=0;while(1){if((d|0)==4)break a;j=e+(d<<4)+8|0;l=+h[j>>3];b=e+(d<<4)|0;h[j>>3]=+h[b>>3];h[b>>3]=-l;d=d+1|0}}while(0);return}function RG(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0;h=b+3|0;i=b+1|0;j=b+2|0;k=a+(b*56|0)+44|0;l=a+(h*56|0)+44|0;e=0;f=b;while(1){if((f|0)>(h|0))break;do if((f|0)!=(b|0))if((f|0)==(h|0)){c[l>>2]=b;g=j;break}else{c[a+(f*56|0)+44>>2]=f+1;g=f+-1|0;break}else{c[k>>2]=i;g=h}while(0);c[a+(f*56|0)+48>>2]=g;c[a+(f*56|0)+32>>2]=0;n=a+(f*56|0)|0;m=d+(e<<4)|0;c[n>>2]=c[m>>2];c[n+4>>2]=c[m+4>>2];c[n+8>>2]=c[m+8>>2];c[n+12>>2]=c[m+12>>2];UN(a+(g*56|0)+16|0,m|0,16)|0;e=e+1|0;f=f+1|0}return b+4|0}function SG(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0;c[42436]=e<<1;c[42437]=e;k=vw(e*80|0)|0;c[42438]=1;c[42439]=1;VN(f|0,0,e*72|0)|0;g=TG(c[d+4>>2]|0,b,f,k)|0;e=1;while(1){if((e|0)>(a|0))break;c[b+(e*56|0)+40>>2]=g;c[b+(e*56|0)+36>>2]=g;e=e+1|0}j=UG(a)|0;g=2;i=1;while(1){if((i|0)>(j|0))break;e=VG(a,i+-1|0)|0;h=VG(a,i)|0;while(1){if((e|0)>=(h|0)){e=1;break}WG(c[d+(g<<2)>>2]|0,b,f,k);e=e+1|0;g=g+1|0}while(1){if((e|0)>(a|0))break;XG(e,b,f,k);e=e+1|0}i=i+1|0}e=VG(a,j)|0;while(1){if((e|0)>=(a|0))break;WG(c[d+(g<<2)>>2]|0,b,f,k);g=g+1|0;e=e+1|0}_I(k);return c[42438]|0}function TG(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;f=aH()|0;c[e+(f*40|0)>>2]=2;s=e+(f*40|0)+8|0;k=b+(a*56|0)|0;l=b+(a*56|0)+16|0;eH(s,k,l);n=aH()|0;c[e+(f*40|0)+36>>2]=n;c[e+(n*40|0)>>2]=3;c[e+(n*40|0)+28>>2]=f;j=aH()|0;c[e+(f*40|0)+32>>2]=j;c[e+(j*40|0)>>2]=2;r=e+(j*40|0)+8|0;fH(r,k,l);c[e+(j*40|0)+28>>2]=f;l=aH()|0;c[e+(j*40|0)+32>>2]=l;c[e+(l*40|0)>>2]=3;c[e+(l*40|0)+28>>2]=j;k=aH()|0;c[e+(j*40|0)+36>>2]=k;c[e+(k*40|0)>>2]=1;c[e+(k*40|0)+4>>2]=a;c[e+(k*40|0)+28>>2]=j;j=aH()|0;c[e+(k*40|0)+32>>2]=j;c[e+(j*40|0)>>2]=3;c[e+(j*40|0)+28>>2]=k;g=aH()|0;c[e+(k*40|0)+36>>2]=g;c[e+(g*40|0)>>2]=3;c[e+(g*40|0)+28>>2]=k;k=$G(d)|0;i=$G(d)|0;m=$G(d)|0;o=$G(d)|0;p=d+(k*72|0)+8|0;q=d+(i*72|0)+8|0;t=d+(o*72|0)+24|0;c[t>>2]=c[s>>2];c[t+4>>2]=c[s+4>>2];c[t+8>>2]=c[s+8>>2];c[t+12>>2]=c[s+12>>2];UN(q|0,s|0,16)|0;c[p>>2]=c[q>>2];c[p+4>>2]=c[q+4>>2];c[p+8>>2]=c[q+8>>2];c[p+12>>2]=c[q+12>>2];p=d+(k*72|0)+24|0;q=d+(i*72|0)+24|0;s=d+(m*72|0)+8|0;c[s>>2]=c[r>>2];c[s+4>>2]=c[r+4>>2];c[s+8>>2]=c[r+8>>2];c[s+12>>2]=c[r+12>>2];UN(q|0,r|0,16)|0;c[p>>2]=c[q>>2];c[p+4>>2]=c[q+4>>2];c[p+8>>2]=c[q+8>>2];c[p+12>>2]=c[q+12>>2];h[d+(o*72|0)+16>>3]=1073741824.0;h[d+(o*72|0)+8>>3]=1073741824.0;h[d+(m*72|0)+32>>3]=-1073741824.0;h[d+(m*72|0)+24>>3]=-1073741824.0;c[d+(i*72|0)>>2]=a;c[d+(k*72|0)+4>>2]=a;c[d+(i*72|0)+40>>2]=o;c[d+(k*72|0)+40>>2]=o;c[d+(i*72|0)+48>>2]=m;c[d+(k*72|0)+48>>2]=m;c[d+(m*72|0)+40>>2]=k;c[d+(o*72|0)+48>>2]=k;c[d+(m*72|0)+44>>2]=i;c[d+(o*72|0)+52>>2]=i;c[d+(k*72|0)+56>>2]=j;c[d+(i*72|0)+56>>2]=g;c[d+(m*72|0)+56>>2]=l;c[d+(o*72|0)+56>>2]=n;c[d+(i*72|0)+68>>2]=1;c[d+(k*72|0)+68>>2]=1;c[d+(o*72|0)+68>>2]=1;c[d+(m*72|0)+68>>2]=1;c[e+(n*40|0)+24>>2]=o;c[e+(l*40|0)+24>>2]=m;c[e+(j*40|0)+24>>2]=k;c[e+(g*40|0)+24>>2]=i;c[b+(a*56|0)+32>>2]=1;return f|0}function UG(a){a=a|0;var b=0.0;b=+(a|0);a=0;while(1){if(!(b>=1.0))break;b=+CJ(b);a=a+1|0}return a+-1|0}function VG(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;d=+(a|0);c=d;a=0;while(1){if((a|0)>=(b|0))break;c=+CJ(c);a=a+1|0}return ~~+N(+(d/c))|0}function WG(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0.0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0,T=0,U=0,V=0,W=0,X=0;W=l;l=l+96|0;S=W+32|0;f=W+16|0;T=W;s=S;k=b+(a*56|0)|0;r=s+56|0;do{c[s>>2]=c[k>>2];s=s+4|0;k=k+4|0}while((s|0)<(r|0));U=S+16|0;V=S+24|0;i=+h[V>>3];H=S+8|0;j=+h[H>>3];do if(!(i>j+1.0e-07)){if(!(i<j+-1.0e-07)?+h[U>>3]>+h[S>>3]:0){G=4;break}G=(_G(a,b,1)|0)==0;f=c[S+36>>2]|0;if(G){n=0;G=7}else{f=YG(S,U,f,b,e)|0;G=20}}else G=4;while(0);if((G|0)==4){c[f>>2]=c[S>>2];c[f+4>>2]=c[S+4>>2];c[f+8>>2]=c[S+8>>2];c[f+12>>2]=c[S+12>>2];c[S>>2]=c[U>>2];c[S+4>>2]=c[U+4>>2];c[S+8>>2]=c[U+8>>2];c[S+12>>2]=c[U+12>>2];c[U>>2]=c[f>>2];c[U+4>>2]=c[f+4>>2];c[U+8>>2]=c[f+8>>2];c[U+12>>2]=c[f+12>>2];E=S+36|0;F=c[E>>2]|0;G=S+40|0;f=c[G>>2]|0;c[E>>2]=f;c[G>>2]=F;if(!(_G(a,b,2)|0)){n=1;G=7}else{f=YG(S,U,f,b,e)|0;G=19}}if((G|0)==7){m=YG(S,U,f,b,e)|0;f=$G(d)|0;c[d+(f*72|0)+68>>2]=1;s=d+(f*72|0)|0;k=d+(m*72|0)|0;r=s+72|0;do{c[s>>2]=c[k>>2];s=s+4|0;k=k+4|0}while((s|0)<(r|0));q=+h[H>>3];h[d+(f*72|0)+16>>3]=q;h[d+(m*72|0)+32>>3]=q;q=+h[S>>3];h[d+(f*72|0)+8>>3]=q;h[d+(m*72|0)+24>>3]=q;c[d+(m*72|0)+48>>2]=f;c[d+(m*72|0)+52>>2]=0;c[d+(f*72|0)+40>>2]=m;c[d+(f*72|0)+44>>2]=0;g=c[d+(f*72|0)+48>>2]|0;if((g|0)>0){k=d+(g*72|0)+40|0;if((c[k>>2]|0)==(m|0))c[k>>2]=f;g=d+(g*72|0)+44|0;if((c[g>>2]|0)==(m|0))c[g>>2]=f}g=c[d+(f*72|0)+52>>2]|0;if((g|0)>0){k=d+(g*72|0)+40|0;if((c[k>>2]|0)==(m|0))c[k>>2]=f;g=d+(g*72|0)+44|0;if((c[g>>2]|0)==(m|0))c[g>>2]=f}E=aH()|0;G=aH()|0;F=d+(m*72|0)+56|0;D=c[F>>2]|0;c[e+(D*40|0)>>2]=2;C=e+(D*40|0)+8|0;c[C>>2]=c[S>>2];c[C+4>>2]=c[S+4>>2];c[C+8>>2]=c[S+8>>2];c[C+12>>2]=c[S+12>>2];c[e+(D*40|0)+4>>2]=a;c[e+(D*40|0)+32>>2]=G;c[e+(D*40|0)+36>>2]=E;c[e+(E*40|0)>>2]=3;c[e+(E*40|0)+24>>2]=m;c[e+(E*40|0)+28>>2]=D;c[e+(G*40|0)>>2]=3;c[e+(G*40|0)+24>>2]=f;c[e+(G*40|0)+28>>2]=D;c[F>>2]=E;c[d+(f*72|0)+56>>2]=G;if(n)G=19;else G=20}if((G|0)==19)if(!(_G(a,b,1)|0)){g=1;G=21}else{g=1;G=32}else if((G|0)==20)if(!(_G(a,b,2)|0)){g=0;G=21}else{g=0;G=32}if((G|0)==21){o=YG(U,S,c[S+40>>2]|0,b,e)|0;n=$G(d)|0;c[d+(n*72|0)+68>>2]=1;s=d+(n*72|0)|0;k=d+(o*72|0)|0;r=s+72|0;do{c[s>>2]=c[k>>2];s=s+4|0;k=k+4|0}while((s|0)<(r|0));q=+h[V>>3];h[d+(n*72|0)+16>>3]=q;h[d+(o*72|0)+32>>3]=q;q=+h[U>>3];h[d+(n*72|0)+8>>3]=q;h[d+(o*72|0)+24>>3]=q;c[d+(o*72|0)+48>>2]=n;c[d+(o*72|0)+52>>2]=0;c[d+(n*72|0)+40>>2]=o;c[d+(n*72|0)+44>>2]=0;k=c[d+(n*72|0)+48>>2]|0;if((k|0)>0){m=d+(k*72|0)+40|0;if((c[m>>2]|0)==(o|0))c[m>>2]=n;k=d+(k*72|0)+44|0;if((c[k>>2]|0)==(o|0))c[k>>2]=n}k=c[d+(n*72|0)+52>>2]|0;if((k|0)>0){m=d+(k*72|0)+40|0;if((c[m>>2]|0)==(o|0))c[m>>2]=n;k=d+(k*72|0)+44|0;if((c[k>>2]|0)==(o|0))c[k>>2]=n}D=aH()|0;F=aH()|0;E=d+(o*72|0)+56|0;C=c[E>>2]|0;c[e+(C*40|0)>>2]=2;A=e+(C*40|0)+8|0;c[A>>2]=c[U>>2];c[A+4>>2]=c[U+4>>2];c[A+8>>2]=c[U+8>>2];c[A+12>>2]=c[U+12>>2];c[e+(C*40|0)+4>>2]=a;c[e+(C*40|0)+32>>2]=F;c[e+(C*40|0)+36>>2]=D;c[e+(D*40|0)>>2]=3;c[e+(D*40|0)+24>>2]=o;c[e+(D*40|0)+28>>2]=C;c[e+(F*40|0)>>2]=3;c[e+(F*40|0)+24>>2]=n;c[e+(F*40|0)+28>>2]=C;c[E>>2]=D;c[d+(n*72|0)+56>>2]=F;F=f;f=0}else if((G|0)==32){F=f;o=YG(U,S,c[S+40>>2]|0,b,e)|0;f=1}a:do if((F|0)>0){D=d+(o*72|0)+24|0;E=d+(o*72|0)+32|0;C=(f|0)!=0;y=g?b+(a*56|0)+48|0:b+(a*56|0)+44|0;z=T+8|0;g=0;f=0;x=F;b:while(1){k=d+(x*72|0)|0;v=d+(x*72|0)+24|0;if(!(bH(v,D)|0))break a;m=d+(x*72|0)+56|0;u=c[m>>2]|0;n=aH()|0;p=aH()|0;c[e+(u*40|0)>>2]=1;c[e+(u*40|0)+4>>2]=a;c[e+(u*40|0)+32>>2]=n;c[e+(u*40|0)+36>>2]=p;c[e+(n*40|0)>>2]=3;c[e+(n*40|0)+24>>2]=x;c[e+(n*40|0)+28>>2]=u;c[e+(p*40|0)>>2]=3;w=$G(d)|0;c[e+(p*40|0)+24>>2]=w;A=d+(w*72|0)|0;c[d+(w*72|0)+68>>2]=1;c[e+(p*40|0)+28>>2]=u;g=(x|0)==(F|0)?w:g;u=d+(x*72|0)+32|0;if(+B(+(+h[u>>3]-+h[E>>3]))<=1.0e-07?+B(+(+h[v>>3]-+h[D>>3]))<=1.0e-07:0)f=w;s=A;r=s+72|0;do{c[s>>2]=c[k>>2];s=s+4|0;k=k+4|0}while((s|0)<(r|0));c[m>>2]=n;c[d+(w*72|0)+56>>2]=p;t=d+(x*72|0)+48|0;m=d+(x*72|0)+52|0;k=(c[m>>2]|0)<1;do if((c[t>>2]|0)<1){if(k)break b;s=d+(x*72|0)+40|0;k=c[s>>2]|0;do if((k|0)>0?(M=d+(x*72|0)+44|0,N=c[M>>2]|0,(N|0)>0):0){r=d+(x*72|0)+60|0;k=c[r>>2]|0;if((k|0)<=0){c[d+(w*72|0)+40>>2]=N;c[d+(w*72|0)+44>>2]=-1;c[M>>2]=-1;c[d+(N*72|0)+48>>2]=w;break}if((c[d+(x*72|0)+64>>2]|0)==1){c[d+(w*72|0)+40>>2]=N;c[M>>2]=-1;c[d+(w*72|0)+44>>2]=k;c[d+((c[s>>2]|0)*72|0)+48>>2]=x;p=w;n=N}else{c[d+(w*72|0)+44>>2]=-1;t=d+(w*72|0)+40|0;c[t>>2]=c[M>>2];n=c[s>>2]|0;c[M>>2]=n;c[s>>2]=k;c[d+(k*72|0)+48>>2]=x;p=x;k=c[t>>2]|0}c[d+(n*72|0)+48>>2]=p;c[d+(k*72|0)+48>>2]=w;c[d+(w*72|0)+60>>2]=0;c[r>>2]=0}else G=77;while(0);do if((G|0)==77){G=0;n=d+(k*72|0)+48|0;p=c[n>>2]|0;k=d+(k*72|0)+52|0;if((p|0)>0?(c[k>>2]|0)>0:0){k=c[d+(p*72|0)+4>>2]|0;if((k|0)>0?(ZG(k,b,U)|0)==0:0){c[d+(w*72|0)+44>>2]=-1;c[d+(x*72|0)+44>>2]=-1;c[s>>2]=-1;c[d+((c[d+(w*72|0)+40>>2]|0)*72|0)+52>>2]=w;break}c[d+(x*72|0)+44>>2]=-1;c[d+(w*72|0)+44>>2]=-1;c[d+(w*72|0)+40>>2]=-1;c[d+((c[s>>2]|0)*72|0)+48>>2]=x;break}c[n>>2]=x;c[k>>2]=w}while(0);if(+B(+(+h[u>>3]-+h[E>>3]))<=1.0e-07?C&+B(+(+h[v>>3]-+h[D>>3]))<=1.0e-07:0){k=c[y>>2]|0;if((k|0)>0?(ZG(k,b,S)|0)!=0:0){c[d+((c[m>>2]|0)*72|0)+40>>2]=x;n=d+(w*72|0)+52|0;k=w}else{c[d+((c[d+(w*72|0)+52>>2]|0)*72|0)+44>>2]=w;n=m;k=x}c[n>>2]=-1;c[d+(k*72|0)+48>>2]=-1;k=c[m>>2]|0;break}k=c[m>>2]|0;m=d+(k*72|0)+40|0;n=c[m>>2]|0;p=d+(k*72|0)+44|0;if((n|0)>0?(O=c[p>>2]|0,P=(n|0)==(x|0),(O|0)>0):0){c[d+(k*72|0)+60>>2]=P?O:n;c[d+(k*72|0)+64>>2]=P?1:2}c[m>>2]=x;c[p>>2]=w}else{if(!k){i=+h[u>>3];j=+h[H>>3];q=i-j;if(!(+B(+q)<=1.0e-07)){h[z>>3]=i;i=+h[S>>3];h[T>>3]=(+h[U>>3]-i)*(q/(+h[V>>3]-j))+i;s=(cH(T,v)|0)!=0}else s=+h[v>>3]>+h[S>>3];r=d+(x*72|0)+40|0;k=c[r>>2]|0;do if((k|0)>0?(Q=d+(x*72|0)+44|0,R=c[Q>>2]|0,(R|0)>0):0){p=d+(x*72|0)+60|0;k=c[p>>2]|0;if((k|0)<=0){c[d+(w*72|0)+40>>2]=R;c[d+(w*72|0)+44>>2]=-1;c[Q>>2]=-1;c[d+(R*72|0)+48>>2]=w;break}if((c[d+(x*72|0)+64>>2]|0)==1){c[d+(w*72|0)+40>>2]=R;c[Q>>2]=-1;c[d+(w*72|0)+44>>2]=k;c[d+((c[r>>2]|0)*72|0)+48>>2]=x;n=w;m=R}else{c[d+(w*72|0)+44>>2]=-1;X=d+(w*72|0)+40|0;c[X>>2]=c[Q>>2];m=c[r>>2]|0;c[Q>>2]=m;c[r>>2]=k;c[d+(k*72|0)+48>>2]=x;n=x;k=c[X>>2]|0}c[d+(m*72|0)+48>>2]=n;c[d+(k*72|0)+48>>2]=w;c[d+(w*72|0)+60>>2]=0;c[p>>2]=0}else G=106;while(0);do if((G|0)==106){G=0;m=d+(k*72|0)+48|0;n=c[m>>2]|0;k=d+(k*72|0)+52|0;if((n|0)>0?(c[k>>2]|0)>0:0){k=c[d+(n*72|0)+4>>2]|0;if((k|0)>0?(ZG(k,b,U)|0)==0:0){c[d+(w*72|0)+44>>2]=-1;c[d+(x*72|0)+44>>2]=-1;c[r>>2]=-1;c[d+((c[d+(w*72|0)+40>>2]|0)*72|0)+52>>2]=w;break}c[d+(x*72|0)+44>>2]=-1;c[d+(w*72|0)+44>>2]=-1;c[d+(w*72|0)+40>>2]=-1;c[d+((c[r>>2]|0)*72|0)+48>>2]=x;break}c[m>>2]=x;c[k>>2]=w}while(0);if(+B(+(+h[u>>3]-+h[E>>3]))<=1.0e-07?C&+B(+(+h[v>>3]-+h[D>>3]))<=1.0e-07:0){k=c[t>>2]|0;c[d+(k*72|0)+40>>2]=x;c[d+(k*72|0)+44>>2]=-1;k=d+(x*72|0)+52|0;X=c[k>>2]|0;c[d+(X*72|0)+40>>2]=w;c[d+(X*72|0)+44>>2]=-1;c[d+(w*72|0)+48>>2]=X;c[d+(w*72|0)+52>>2]=-1;c[k>>2]=-1;k=-1}else G=116;do if((G|0)==116){G=0;k=c[t>>2]|0;c[d+(k*72|0)+40>>2]=x;m=d+(k*72|0)+44|0;if(s){c[m>>2]=w;X=d+(x*72|0)+52|0;v=c[X>>2]|0;c[d+(v*72|0)+40>>2]=w;c[d+(v*72|0)+44>>2]=-1;c[X>>2]=-1;break}else{c[m>>2]=-1;k=d+(x*72|0)+52|0;X=c[k>>2]|0;c[d+(X*72|0)+40>>2]=x;c[d+(X*72|0)+44>>2]=w;c[d+(w*72|0)+48>>2]=X;c[d+(w*72|0)+52>>2]=-1;k=c[k>>2]|0;break}}while(0);break}s=d+(x*72|0)+40|0;k=c[s>>2]|0;do if((k|0)>0?(I=d+(x*72|0)+44|0,J=c[I>>2]|0,(J|0)>0):0){r=d+(x*72|0)+60|0;k=c[r>>2]|0;if((k|0)<=0){c[d+(w*72|0)+40>>2]=J;c[d+(w*72|0)+44>>2]=-1;c[I>>2]=-1;c[d+(J*72|0)+48>>2]=w;break}if((c[d+(x*72|0)+64>>2]|0)==1){c[d+(w*72|0)+40>>2]=J;c[I>>2]=-1;c[d+(w*72|0)+44>>2]=k;c[d+((c[s>>2]|0)*72|0)+48>>2]=x;p=w;n=J}else{c[d+(w*72|0)+44>>2]=-1;X=d+(w*72|0)+40|0;c[X>>2]=c[I>>2];n=c[s>>2]|0;c[I>>2]=n;c[s>>2]=k;c[d+(k*72|0)+48>>2]=x;p=x;k=c[X>>2]|0}c[d+(n*72|0)+48>>2]=p;c[d+(k*72|0)+48>>2]=w;c[d+(w*72|0)+60>>2]=0;c[r>>2]=0}else G=51;while(0);do if((G|0)==51){G=0;n=d+(k*72|0)+48|0;p=c[n>>2]|0;k=d+(k*72|0)+52|0;if((p|0)>0?(c[k>>2]|0)>0:0){k=c[d+(p*72|0)+4>>2]|0;if((k|0)>0?(ZG(k,b,U)|0)==0:0){c[d+(w*72|0)+44>>2]=-1;c[d+(x*72|0)+44>>2]=-1;c[s>>2]=-1;c[d+((c[d+(w*72|0)+40>>2]|0)*72|0)+52>>2]=w;break}c[d+(x*72|0)+44>>2]=-1;c[d+(w*72|0)+44>>2]=-1;c[d+(w*72|0)+40>>2]=-1;c[d+((c[s>>2]|0)*72|0)+48>>2]=x;break}c[n>>2]=x;c[k>>2]=w}while(0);if(+B(+(+h[u>>3]-+h[E>>3]))<=1.0e-07?C&+B(+(+h[v>>3]-+h[D>>3]))<=1.0e-07:0){k=c[y>>2]|0;if((k|0)>0?(ZG(k,b,S)|0)!=0:0){c[d+((c[t>>2]|0)*72|0)+40>>2]=x;m=d+(w*72|0)+52|0;k=w}else{c[d+((c[d+(w*72|0)+48>>2]|0)*72|0)+44>>2]=w;k=x}c[m>>2]=-1;c[d+(k*72|0)+48>>2]=-1;k=c[t>>2]|0;break}k=c[t>>2]|0;m=d+(k*72|0)+40|0;n=c[m>>2]|0;p=d+(k*72|0)+44|0;if((n|0)>0?(K=c[p>>2]|0,L=(n|0)==(x|0),(K|0)>0):0){c[d+(k*72|0)+60>>2]=L?K:n;c[d+(k*72|0)+64>>2]=L?1:2}c[m>>2]=x;c[p>>2]=w}while(0);c[A>>2]=a;c[d+(x*72|0)+4>>2]=a;if((k|0)>0)x=k;else break a}XL(123235,19,1,c[13918]|0)|0}else{g=0;f=0}while(0);dH(a,F,o,1,d,e);dH(a,g,f,2,d,e);c[b+(a*56|0)+32>>2]=1;l=W;return}function XG(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;if(!(c[b+(a*56|0)+32>>2]|0)){f=b+(a*56|0)|0;g=b+(a*56|0)+16|0;h=b+(a*56|0)+36|0;c[h>>2]=c[d+((YG(f,g,c[h>>2]|0,b,e)|0)*72|0)+56>>2];a=b+(a*56|0)+40|0;c[a>>2]=c[d+((YG(g,f,c[a>>2]|0,b,e)|0)*72|0)+56>>2]}return}function YG(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0.0,i=0,j=0.0,k=0.0,l=0.0,m=0.0,n=0.0,o=0,p=0.0,q=0,r=0;o=a+8|0;q=b+8|0;a:while(1){b:do switch(c[f+(d*40|0)>>2]|0){case 3:{r=3;break a}case 2:{g=+h[o>>3];i=f+(d*40|0)+8|0;j=+h[f+(d*40|0)+16>>3];k=j+1.0e-07;do if(!(g>k)){l=j+-1.0e-07;if(!(g<l)?+h[a>>3]>+h[i>>3]:0)break;if(+B(+(g-j))<=1.0e-07?(m=+h[i>>3],+B(+(+h[a>>3]-m))<=1.0e-07):0){g=+h[q>>3];do if(!(g>k)){if(!(g<l)?+h[b>>3]>m:0)break;d=f+(d*40|0)+32|0;break b}while(0);d=f+(d*40|0)+36|0;break b}d=f+(d*40|0)+32|0;break b}while(0);d=f+(d*40|0)+36|0;break}case 1:{g=+h[o>>3];i=c[f+(d*40|0)+4>>2]|0;if(+B(+(g-+h[e+(i*56|0)+8>>3]))<=1.0e-07?(n=+h[a>>3],+B(+(n-+h[e+(i*56|0)>>3]))<=1.0e-07):0)j=n;else r=19;do if((r|0)==19){r=0;if(+B(+(g-+h[e+(i*56|0)+24>>3]))<=1.0e-07?(p=+h[a>>3],+B(+(p-+h[e+(i*56|0)+16>>3]))<=1.0e-07):0){j=p;break}if(!(ZG(i,e,a)|0)){d=f+(d*40|0)+36|0;break b}else{d=f+(d*40|0)+32|0;break b}}while(0);if(!(+B(+(g-+h[q>>3]))<=1.0e-07))if(!(ZG(i,e,b)|0)){d=f+(d*40|0)+36|0;break b}else{d=f+(d*40|0)+32|0;break b}else if(+h[b>>3]<j){d=f+(d*40|0)+32|0;break b}else{d=f+(d*40|0)+36|0;break b}}default:{r=31;break a}}while(0);d=c[d>>2]|0}if((r|0)==3)return c[f+(d*40|0)+24>>2]|0;else if((r|0)==31){XL(123169,35,1,c[13918]|0)|0;ma(123205,123207,349,123219)}return 0}function ZG(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0,f=0,g=0.0,i=0,j=0,k=0.0;f=b+(a*56|0)+16|0;g=+h[b+(a*56|0)+24>>3];i=b+(a*56|0)|0;e=+h[b+(a*56|0)+8>>3];do if(!(g>e+1.0e-07)){if(!(g<e+-1.0e-07)?+h[f>>3]>+h[i>>3]:0){j=4;break}d=+h[c+8>>3];if(+B(+(g-d))<=1.0e-07){d=+h[c>>3]<+h[f>>3]?1.0:-1.0;break}if(!(+B(+(e-d))<=1.0e-07)){k=+h[f>>3];d=(+h[i>>3]-k)*(d-g)-(+h[c>>3]-k)*(e-g);break}else{d=+h[c>>3]<+h[i>>3]?1.0:-1.0;break}}else j=4;while(0);do if((j|0)==4){d=+h[c+8>>3];if(+B(+(g-d))<=1.0e-07){d=+h[c>>3]<+h[f>>3]?1.0:-1.0;break}if(!(+B(+(e-d))<=1.0e-07)){k=+h[i>>3];d=(+h[f>>3]-k)*(d-e)-(+h[c>>3]-k)*(g-e);break}else{d=+h[c>>3]<+h[i>>3]?1.0:-1.0;break}}while(0);return d>0.0|0}function _G(a,b,d){a=a|0;b=b|0;d=d|0;return c[b+((c[((d|0)==1?b+(a*56|0)+48|0:b+(a*56|0)+44|0)>>2]|0)*56|0)+32>>2]|0}function $G(a){a=a|0;var b=0,d=0,e=0;e=l;l=l+16|0;d=e;b=c[42438]|0;if((b|0)<(c[42437]|0)){c[a+(b*72|0)>>2]=-1;c[a+(b*72|0)+4>>2]=-1;c[a+(b*72|0)+68>>2]=1;c[42438]=b+1;l=e;return b|0}else{e=c[13918]|0;c[d>>2]=b;zL(e,123294,d)|0;ma(123205,123207,88,123332)}return 0}function aH(){var a=0;a=c[42439]|0;if((a|0)<(c[42436]|0)){c[42439]=a+1;return a|0}else{XL(123255,30,1,c[13918]|0)|0;ma(123205,123207,72,123286)}return 0}function bH(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;c=+h[a+8>>3];d=+h[b+8>>3];if(!(c>d+1.0e-07))if(c<d+-1.0e-07)a=0;else a=+h[a>>3]>=+h[b>>3]&1;else a=1;return a|0}function cH(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;c=+h[a+8>>3];d=+h[b+8>>3];if(!(c<d+-1.0e-07))if(c>d+1.0e-07)a=0;else a=+h[a>>3]<+h[b>>3]&1;else a=1;return a|0}function dH(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0;q=f+(d*72|0)+24|0;p=(e|0)==1;a:while(1){o=f+(b*72|0)+24|0;j=f+(b*72|0)+48|0;k=f+(b*72|0)+52|0;l=f+(b*72|0)|0;m=f+(b*72|0)+4|0;n=f+(b*72|0)+56|0;if((b|0)<=0)break;while(1){if(!(bH(o,q)|0))break a;d=c[j>>2]|0;e=(d|0)>0;do if(p){if(e?(c[f+(d*72|0)+4>>2]|0)==(a|0):0)break;d=c[k>>2]|0;if((d|0)<=0){b=d;continue a}if((c[f+(d*72|0)+4>>2]|0)!=(a|0)){b=d;continue a}}else{if(e?(c[f+(d*72|0)>>2]|0)==(a|0):0)break;d=c[k>>2]|0;if((d|0)<=0){b=d;continue a}if((c[f+(d*72|0)>>2]|0)!=(a|0)){b=d;continue a}}while(0);if((c[l>>2]|0)!=(c[f+(d*72|0)>>2]|0)){b=d;continue a}if((c[m>>2]|0)!=(c[f+(d*72|0)+4>>2]|0)){b=d;continue a}r=c[f+(d*72|0)+56>>2]|0;e=c[g+(r*40|0)+28>>2]|0;h=g+(e*40|0)+32|0;i=c[n>>2]|0;if((c[h>>2]|0)==(r|0))c[h>>2]=i;else c[g+(e*40|0)+36>>2]=i;e=c[f+(d*72|0)+48>>2]|0;c[j>>2]=e;do if((e|0)>0){h=f+(e*72|0)+40|0;if((c[h>>2]|0)==(d|0)){c[h>>2]=b;break}e=f+(e*72|0)+44|0;if((c[e>>2]|0)==(d|0))c[e>>2]=b}while(0);e=c[f+(d*72|0)+52>>2]|0;c[k>>2]=e;do if((e|0)>0){h=f+(e*72|0)+40|0;if((c[h>>2]|0)==(d|0)){c[h>>2]=b;break}e=f+(e*72|0)+44|0;if((c[e>>2]|0)==(d|0))c[e>>2]=b}while(0);r=f+(d*72|0)+24|0;c[o>>2]=c[r>>2];c[o+4>>2]=c[r+4>>2];c[o+8>>2]=c[r+8>>2];c[o+12>>2]=c[r+12>>2];c[f+(d*72|0)+68>>2]=2}}return}function eH(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0.0;e=+h[b+8>>3];f=+h[d+8>>3];do if(!(e>f+1.0e-07)){if(!(+B(+(e-f))<=1.0e-07)){c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];break}if(+h[b>>3]>+h[d>>3]+1.0e-07){c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];break}else{c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];break}}else{c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2]}while(0);return}function fH(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0.0;e=+h[b+8>>3];f=+h[d+8>>3];do if(!(e<f+-1.0e-07)){if(!(+B(+(e-f))<=1.0e-07)){c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];break}if(+h[b>>3]<+h[d>>3]){c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];break}else{c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];break}}else{c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2]}while(0);return}function gH(a){a=a|0;var b=0;b=vw(8)|0;if(b|0){c[b+4>>2]=a;c[b>>2]=0}return b|0}function hH(a,b){a=a|0;b=b|0;if(b){b=gH(b)|0;c[b>>2]=a;a=b}return a|0}function iH(a){a=a|0;var b=0;do{b=a;a=c[a>>2]|0;_I(b)}while((a|0)!=0);return}function jH(){var a=0;a=vw(1992)|0;if(a|0)c[a>>2]=kH(a)|0;return a|0}function kH(a){a=a|0;var b=0;b=qH(a)|0;c[b+4>>2]=0;a=a+1972|0;c[a>>2]=(c[a>>2]|0)+1;return b|0}function lH(a){a=a|0;mH(a,c[a>>2]|0);_I(c[a>>2]|0);_I(a);return 0}function mH(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;g=a+1980|0;h=a+1912|0;i=a+1936|0;a:do if((c[b+4>>2]|0)>0){d=0;while(1){if((d|0)==64)break a;e=b+8+(d*20|0)+16|0;f=c[e>>2]|0;if(f|0?(mH(a,f),_I(c[e>>2]|0),wH(b,d),c[g>>2]=(c[g>>2]|0)+-1,c[h>>2]|0):0)c[i>>2]=(c[i>>2]|0)+1;d=d+1|0}}else{d=0;while(1){if((d|0)==64)break a;if(c[b+8+(d*20|0)+16>>2]|0?(wH(b,d),c[g>>2]=(c[g>>2]|0)+-1,c[h>>2]|0):0)c[i>>2]=(c[i>>2]|0)+1;d=d+1|0}}while(0);return}function nH(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;if(!b)ma(123690,123340,194,123348);e=c[b+4>>2]|0;if((e|0)<=-1)ma(123360,123340,195,123348);if(!d)ma(123632,123340,196,123348);i=a+1952|0;c[i>>2]=(c[i>>2]|0)+1;a:do if((e|0)>0){i=0;e=0;while(1){if((i|0)==64)break a;f=b+8+(i*20|0)+16|0;if((c[f>>2]|0)!=0?(BH(d,b+8+(i*20|0)|0)|0)!=0:0){g=nH(a,c[f>>2]|0,d)|0;if(!e)e=g;else{f=e;while(1){h=c[f>>2]|0;if(!h)break;else f=h}c[f>>2]=g}}i=i+1|0}}else{g=0;e=0;while(1){if((g|0)==64)break a;f=b+8+(g*20|0)|0;if((c[b+8+(g*20|0)+16>>2]|0)!=0?(BH(d,f)|0)!=0:0)e=hH(e,f)|0;g=g+1|0}}while(0);return e|0}function oH(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;p=l;l=l+64|0;k=p+52|0;m=p+32|0;n=p+16|0;o=p;c[k>>2]=0;if(!((b|0)!=0&(e|0)!=0))ma(123546,123340,247,123374);if((f|0)>-1?(j=c[e>>2]|0,(c[j+4>>2]|0)>=(f|0)):0){g=0;while(1){if((g|0)>=2)break;if((c[b+(g<<2)>>2]|0)>(c[b+(g+2<<2)>>2]|0)){h=8;break}else g=g+1|0}if((h|0)==8)ma(123421,123340,250,123374);i=a+1912|0;g=a+1908|0;h=c[g>>2]|0;if(c[i>>2]|0){q=h|0?a+1924|0:a+1916|0;c[q>>2]=(c[q>>2]|0)+1}if(!h){q=a+1964|0;c[q>>2]=(c[q>>2]|0)+1}if(!(pH(a,b,d,j,k,f)|0))g=0;else{if(c[i>>2]|0){q=c[g>>2]|0?a+1948|0:a+1944|0;c[q>>2]=(c[q>>2]|0)+1}g=qH(a)|0;q=a+1976|0;c[q>>2]=(c[q>>2]|0)+1;q=c[e>>2]|0;c[g+4>>2]=(c[q+4>>2]|0)+1;tH(n,q);c[m>>2]=c[n>>2];c[m+4>>2]=c[n+4>>2];c[m+8>>2]=c[n+8>>2];c[m+12>>2]=c[n+12>>2];q=m+16|0;c[q>>2]=c[e>>2];vH(a,m,g,0)|0;tH(o,c[k>>2]|0);c[m>>2]=c[o>>2];c[m+4>>2]=c[o+4>>2];c[m+8>>2]=c[o+8>>2];c[m+12>>2]=c[o+12>>2];c[q>>2]=c[k>>2];vH(a,m,g,0)|0;c[e>>2]=g;g=a+1980|0;c[g>>2]=(c[g>>2]|0)+2;g=1}l=p;return g|0}ma(123386,123340,248,123374);return 0}function pH(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;q=l;l=l+80|0;m=q+52|0;n=q+48|0;o=q+32|0;p=q+16|0;k=q;c[n>>2]=0;if(!((b|0)!=0&(e|0)!=0&(f|0)!=0))ma(123464,123340,311,123478);if((g|0)>-1?(i=e+4|0,h=c[i>>2]|0,(h|0)>=(g|0)):0){if(c[a+1912>>2]|0){h=c[a+1908>>2]|0?a+1948|0:a+1944|0;c[h>>2]=(c[h>>2]|0)+1;h=c[i>>2]|0}do if((h|0)>(g|0)){i=uH(b,e)|0;h=e+8+(i*20|0)+16|0;i=e+8+(i*20|0)|0;if(!(pH(a,b,d,c[h>>2]|0,n,g)|0)){AH(o,b,i);c[i>>2]=c[o>>2];c[i+4>>2]=c[o+4>>2];c[i+8>>2]=c[o+8>>2];c[i+12>>2]=c[o+12>>2];j=0;break}else{tH(p,c[h>>2]|0);c[i>>2]=c[p>>2];c[i+4>>2]=c[p+4>>2];c[i+8>>2]=c[p+8>>2];c[i+12>>2]=c[p+12>>2];j=c[n>>2]|0;c[m+16>>2]=j;tH(k,j);c[m>>2]=c[k>>2];c[m+4>>2]=c[k+4>>2];c[m+8>>2]=c[k+8>>2];c[m+12>>2]=c[k+12>>2];j=a+1980|0;c[j>>2]=(c[j>>2]|0)+1;j=vH(a,m,e,f)|0;break}}else if((h|0)==(g|0)){c[m>>2]=c[b>>2];c[m+4>>2]=c[b+4>>2];c[m+8>>2]=c[b+8>>2];c[m+12>>2]=c[b+12>>2];c[m+16>>2]=d;j=a+1980|0;c[j>>2]=(c[j>>2]|0)+1;j=vH(a,m,e,f)|0;break}else ma(123523,123340,341,123478);while(0);l=q;return j|0}ma(123491,123340,312,123478);return 0}function qH(a){a=a|0;a=a+1968|0;c[a>>2]=(c[a>>2]|0)+1;a=ZI(1288)|0;rH(a);return a|0}function rH(a){a=a|0;var b=0;c[a>>2]=0;c[a+4>>2]=-1;b=0;while(1){if((b|0)==64)break;sH(a+8+(b*20|0)|0);b=b+1|0}return}function sH(a){a=a|0;xH(a);c[a+16>>2]=0;return}function tH(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+32|0;g=i+16|0;h=i;if(!b)ma(123690,123529,99,123536);xH(g);d=1;f=0;while(1){if((f|0)==64)break;do if(c[b+8+(f*20|0)+16>>2]|0){e=b+8+(f*20|0)|0;if(!d){AH(h,g,e);c[g>>2]=c[h>>2];c[g+4>>2]=c[h+4>>2];c[g+8>>2]=c[h+8>>2];c[g+12>>2]=c[h+12>>2];d=0;break}else{c[g>>2]=c[e>>2];c[g+4>>2]=c[e+4>>2];c[g+8>>2]=c[e+8>>2];c[g+12>>2]=c[e+12>>2];d=0;break}}while(0);f=f+1|0}c[a>>2]=c[g>>2];c[a+4>>2]=c[g+4>>2];c[a+8>>2]=c[g+8>>2];c[a+12>>2]=c[g+12>>2];l=i;return}function uH(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;k=l;l=l+32|0;i=k+16|0;j=k;if(!((a|0)!=0&(b|0)!=0))ma(123546,123529,125,123553);d=0;e=0;f=0;g=1;h=0;while(1){if((h|0)==64)break;if(c[b+8+(h*20|0)+16>>2]|0){n=b+8+(h*20|0)|0;p=zH(n)|0;AH(j,a,n);c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];c[i+8>>2]=c[j+8>>2];c[i+12>>2]=c[j+12>>2];n=(zH(i)|0)-p|0;m=(g|0)!=0|(n|0)<(f|0);o=m|(p|0)<(e|0)&(n|0)==(f|0);d=o?h:d;e=o?p:e;f=o?n:f;g=m?0:g}h=h+1|0}l=k;return d|0}function vH(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;if(!b)ma(123712,123529,167,123564);if(!d)ma(123690,123529,168,123564);do if((c[d>>2]|0)<64){a=0;while(1){if((a|0)>=64){e=10;break}if(!(c[d+8+(a*20|0)+16>>2]|0)){e=8;break}a=a+1|0}if((e|0)==8){f=d+8+(a*20|0)|0;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];c[f+16>>2]=c[b+16>>2];f=0;g=d;break}else if((e|0)==10)ma(123574,123529,178,123564)}else{if(c[a+1912>>2]|0){h=c[a+1908>>2]|0?a+1948|0:a+1944|0;c[h>>2]=(c[h>>2]|0)+1}if(!e)ma(123587,123529,187,123564);else{CH(a,d,b,e);f=1;g=(c[d+4>>2]|0)==0?a+1972|0:a+1976|0;break}}while(0);c[g>>2]=(c[g>>2]|0)+1;return f|0}function wH(a,b){a=a|0;b=b|0;if(!((a|0)!=0&b>>>0<64))ma(123591,123529,201,123619);if(!(c[a+8+(b*20|0)+16>>2]|0))ma(124113,123529,202,123619);else{sH(a+8+(b*20|0)|0);c[a>>2]=(c[a>>2]|0)+-1;return}}function xH(a){a=a|0;var b=0;b=0;while(1){if((b|0)==4)break;c[a+(b<<2)>>2]=0;b=b+1|0}return}function yH(a){a=a|0;var b=0,d=0,e=0;e=l;l=l+16|0;d=e;c[d>>2]=1;c[d+8>>2]=-1;b=1;while(1){if((b|0)==2)break;c[d+(b+2<<2)>>2]=0;c[d+(b<<2)>>2]=0;b=b+1|0}c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];l=e;return}function zH(a){a=a|0;var b=0,d=0,e=0;if(!a)ma(123632,123634,128,123646);a:do if((c[a>>2]|0)>(c[a+8>>2]|0))b=0;else{b=1;d=0;while(1){if((d|0)==2)break a;e=O(c[a+(d+2<<2)>>2]|0,b)|0;b=e-(c[a+(d<<2)>>2]|0)|0;d=d+1|0}}while(0);return b|0}function AH(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0;g=l;l=l+16|0;f=g;if(!((b|0)!=0&(d|0)!=0))ma(123655,123634,195,123663);do if((c[b>>2]|0)>(c[b+8>>2]|0)){c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2]}else{if((c[d>>2]|0)>(c[d+8>>2]|0)){c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];break}else e=0;while(1){if((e|0)==2)break;j=c[b+(e<<2)>>2]|0;h=c[d+(e<<2)>>2]|0;c[f+(e<<2)>>2]=(j|0)<(h|0)?j:h;h=e+2|0;j=c[b+(h<<2)>>2]|0;i=c[d+(h<<2)>>2]|0;c[f+(h<<2)>>2]=(j|0)>(i|0)?j:i;e=e+1|0}c[a>>2]=c[f>>2];c[a+4>>2]=c[f+4>>2];c[a+8>>2]=c[f+8>>2];c[a+12>>2]=c[f+12>>2]}while(0);l=g;return}function BH(a,b){a=a|0;b=b|0;var d=0,e=0;if((a|0)!=0&(b|0)!=0)d=0;else ma(123675,123634,216,123682);while(1){if((d|0)>=2){d=1;break}e=d+2|0;if((c[a+(d<<2)>>2]|0)>(c[b+(e<<2)>>2]|0)){d=0;break}if((c[b+(d<<2)>>2]|0)>(c[a+(e<<2)>>2]|0)){d=0;break}else d=d+1|0}return d|0}function CH(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,h=0,i=0,j=0;if(!b)ma(123690,123692,40,123702);if(!d)ma(123712,123692,41,123702);j=a+1912|0;if(c[j>>2]|0){i=c[a+1908>>2]|0?a+1932|0:a+1928|0;c[i>>2]=(c[i>>2]|0)+1}h=b+4|0;i=c[h>>2]|0;DH(a,b,d);d=a+1324|0;EH(a);f=zH(a+1852|0)|0;f=(zH(a+1868|0)|0)+f|0;if(c[j>>2]|0?(f|0)!=0&(c[a+1908>>2]|0)==0:0){j=a+1960|0;g[j>>2]=+((c[a+1320>>2]|0)>>>0)/+(f|0)+ +g[j>>2]}j=qH(a)|0;c[e>>2]=j;c[h>>2]=i;c[j+4>>2]=i;FH(a,b,j,d);if(((c[c[e>>2]>>2]|0)+(c[b>>2]|0)|0)==65)return;else ma(123714,123692,86,123702)}function DH(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0;h=l;l=l+16|0;g=h;if(!b)ma(123690,123692,106,124101);if(!d)ma(123712,123692,107,124101);else e=0;while(1){if((e|0)>=64)break;if(!(c[b+8+(e*20|0)+16>>2]|0)){f=7;break}j=b+8+(e*20|0)|0;i=a+4+(e*20|0)|0;c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];c[i+8>>2]=c[j+8>>2];c[i+12>>2]=c[j+12>>2];c[i+16>>2]=c[j+16>>2];e=e+1|0}if((f|0)==7)ma(124113,123692,111,124101);e=a+4|0;j=a+1284|0;c[j>>2]=c[d>>2];c[j+4>>2]=c[d+4>>2];c[j+8>>2]=c[d+8>>2];c[j+12>>2]=c[d+12>>2];c[j+16>>2]=c[d+16>>2];d=a+1304|0;c[d>>2]=c[e>>2];c[d+4>>2]=c[e+4>>2];c[d+8>>2]=c[e+8>>2];c[d+12>>2]=c[e+12>>2];e=1;while(1){if((e|0)==65)break;AH(g,d,a+4+(e*20|0)|0);c[d>>2]=c[g>>2];c[d+4>>2]=c[g+4>>2];c[d+8>>2]=c[g+8>>2];c[d+12>>2]=c[g+12>>2];e=e+1|0}c[a+1320>>2]=zH(d)|0;rH(b);l=h;return}function EH(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0;u=l;l=l+48|0;i=u+32|0;k=u+16|0;m=u;GH(a);HH(a);q=a+1844|0;s=a+1848|0;t=a+1892|0;n=a+1852|0;o=a+1884|0;p=a+1868|0;j=a+1888|0;f=0;e=0;while(1){d=c[q>>2]|0;b=c[s>>2]|0;if((b+d|0)>=65)break;h=65-(c[t>>2]|0)|0;if((d|0)<(h|0)&(b|0)<(h|0)){g=-1;h=0}else{r=12;break}while(1){if((h|0)==65)break;if(!(c[a+1584+(h<<2)>>2]|0)){v=a+4+(h*20|0)|0;AH(k,v,n);c[i>>2]=c[k>>2];c[i+4>>2]=c[k+4>>2];c[i+8>>2]=c[k+8>>2];c[i+12>>2]=c[k+12>>2];b=zH(i)|0;d=c[o>>2]|0;AH(m,v,p);c[i>>2]=c[m>>2];c[i+4>>2]=c[m+4>>2];c[i+8>>2]=c[m+8>>2];c[i+12>>2]=c[m+12>>2];v=zH(i)|0;b=v-(c[j>>2]|0)+(d-b)|0;d=(b|0)>-1;b=d?b:0-b|0;d=(d^1)&1;if((b|0)<=(g|0))if((b|0)==(g|0)){v=(c[a+1844+(d<<2)>>2]|0)<(c[a+1844+(f<<2)>>2]|0);b=g;d=v?d:f;e=v?h:e}else{b=g;d=f}else e=h}else{b=g;d=f}g=b;h=h+1|0;f=d}IH(a,e,f)}if((r|0)==12){b=(d|0)>=(65-(c[t>>2]|0)|0)&1;d=0;while(1){if((d|0)==65)break;if(!(c[a+1584+(d<<2)>>2]|0))IH(a,d,b);d=d+1|0}d=c[q>>2]|0;b=c[s>>2]|0}if((b+d|0)!=65)ma(123857,123692,210,123943);v=c[t>>2]|0;if((d|0)<(v|0)|(b|0)<(v|0))ma(123954,123692,212,123943);else{l=u;return}}function FH(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;if(!b)ma(123690,123692,297,123754);if(!d)ma(123764,123692,298,123754);if(!e)ma(123766,123692,299,123754);else f=0;while(1){if((f|0)>=65){e=14;break}e=c[a+1324+(f<<2)>>2]|0;if(e>>>0>=2){e=9;break}switch(e|0){case 0:{vH(a,a+4+(f*20|0)|0,b,0)|0;break}case 1:{vH(a,a+4+(f*20|0)|0,d,0)|0;break}default:{}}f=f+1|0}if((e|0)==9)ma(123768,123692,303,123754);else if((e|0)==14)return}function GH(a){a=a|0;var b=0,d=0,e=0,f=0;d=l;l=l+16|0;e=d;c[a+1848>>2]=0;c[a+1844>>2]=0;b=a+1852|0;f=a+1868|0;yH(e);c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];c[f+8>>2]=c[e+8>>2];c[f+12>>2]=c[e+12>>2];c[b>>2]=c[e>>2];c[b+4>>2]=c[e+4>>2];c[b+8>>2]=c[e+8>>2];c[b+12>>2]=c[e+12>>2];c[a+1888>>2]=0;c[a+1884>>2]=0;b=0;while(1){if((b|0)==65)break;c[a+1584+(b<<2)>>2]=0;c[a+1324+(b<<2)>>2]=-1;b=b+1|0}l=d;return}function HH(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0;o=l;l=l+304|0;k=o+32|0;m=o+16|0;n=o;b=0;while(1){if((b|0)==65)break;c[k+(b<<2)>>2]=zH(a+4+(b*20|0)|0)|0;b=b+1|0}b=0;d=0;e=0;g=0;a:while(1){if((g|0)==64)break;i=g+1|0;j=a+4+(g*20|0)|0;h=k+(g<<2)|0;f=i;while(1){if((f|0)==65){g=i;continue a}AH(n,j,a+4+(f*20|0)|0);c[m>>2]=c[n>>2];c[m+4>>2]=c[n+4>>2];c[m+8>>2]=c[n+8>>2];c[m+12>>2]=c[n+12>>2];p=zH(m)|0;p=p-(c[h>>2]|0)-(c[k+(f<<2)>>2]|0)|0;q=p>>>0>e>>>0;r=q?f:b;f=f+1|0;b=r;d=q?g:d;e=q?p:e}}IH(a,d,0);IH(a,b,1);l=o;return}function IH(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;h=i;e=a+1584+(b<<2)|0;if(c[e>>2]|0)ma(124057,123692,257,124092);c[a+1324+(b<<2)>>2]=d;c[e>>2]=1;g=a+1844+(d<<2)|0;f=a+1852+(d<<4)|0;e=a+4+(b*20|0)|0;if(!(c[g>>2]|0)){c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];c[f+8>>2]=c[e+8>>2];c[f+12>>2]=c[e+12>>2]}else{AH(h,e,f);c[f>>2]=c[h>>2];c[f+4>>2]=c[h+4>>2];c[f+8>>2]=c[h+8>>2];c[f+12>>2]=c[h+12>>2]}c[a+1884+(d<<2)>>2]=zH(f)|0;c[g>>2]=(c[g>>2]|0)+1;l=i;return}function JH(){var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;t=l;l=l+1200|0;r=t+800|0;g=t;c[42440]=0;c[42441]=-2;f=r;i=200;n=g;p=0;q=0;o=r;a:while(1){b[o>>1]=p;if((f+(i<<1)+-2|0)>>>0>o>>>0)k=i;else{m=o-f>>1;e=m+1|0;if(i>>>0>9999){s=95;break}k=i<<1;k=k>>>0<1e4?k:1e4;h=ZI(k*6|3)|0;if(h){TN(h|0,f|0,e<<1|0)|0;i=h+(k>>>1<<2)|0;TN(i|0,n|0,e<<2|0)|0;if((f|0)==(r|0)){e=0;f=h}else{_I(f);e=0;f=h}}else{e=4;i=n}j=(e|0)==0;h=f+(m<<1)|0;switch((j?((f+(k<<1)+-2|0)>>>0>h>>>0?0:9):e)&15){case 9:{e=1;s=96;break a}case 4:{s=95;break a}case 0:{g=j?i+(m<<2)|0:g;n=i;o=j?h:o;break}default:{e=0;break a}}}if((p|0)==31){e=0;s=96;break}e=b[58358+(p<<1)>>1]|0;j=e<<16>>16;do if(e<<16>>16!=-82){h=c[42441]|0;if((h|0)==-2){h=gI()|0;c[42441]=h}if((h|0)>=1)if(h>>>0<296)i=d[124132+h>>0]|0;else i=2;else{c[42441]=0;i=0}h=i+j|0;if(h>>>0<=271?(i|0)==(a[124428+h>>0]|0):0){p=a[124700+h>>0]|0;e=p<<24>>24;if(p<<24>>24<1){h=0-e|0;s=23;break}else{c[42441]=-2;g=g+4|0;c[g>>2]=0;j=(q|0)==0?0:q+-1|0;h=o;break}}else s=22}else s=22;while(0);if((s|0)==22){s=0;p=a[124972+p>>0]|0;h=p&255;if(!(p<<24>>24)){h=c[42441]|0;b:do switch(q|0){case 0:{c[42440]=(c[42440]|0)+1;cI(125369);h=o;break}case 3:if((h|0)<1)if(!h){e=1;s=96;break a}else{h=o;break b}else{c[42441]=-2;h=o;break b}default:h=o}while(0);while(1){if(e<<16>>16==8)break;if((h|0)==(f|0)){e=1;s=96;break a}e=h+-2|0;g=g+-4|0;h=e;e=b[58358+(b[e>>1]<<1)>>1]|0}g=g+4|0;c[g>>2]=0;e=1;j=3}else s=23}do if((s|0)==23){s=0;j=d[125088+h>>0]|0;e=c[g+(1-j<<2)>>2]|0;do switch(h|0){case 4:{s=26;break a}case 2:{c[42442]=KH(c[g+-4>>2]|0,2)|0;break}case 3:{c[42442]=KH(c[g+-4>>2]|0,1)|0;break}case 5:{e=MH()|0;break}case 8:{NH(c[42443]|0);break}case 9:{OH(c[g>>2]|0);break}case 18:{PH(c[g>>2]|0);break}case 19:{QH();break}case 20:{PH(c[g>>2]|0);break}case 21:{QH();break}case 22:{PH(c[g>>2]|0);break}case 23:{QH();break}case 24:{PH(c[g>>2]|0);break}case 25:{QH();break}case 26:{PH(c[g>>2]|0);break}case 27:{QH();break}case 28:{PH(c[g>>2]|0);break}case 29:{QH();break}case 30:{PH(c[g>>2]|0);break}case 31:{QH();break}case 32:{PH(c[g>>2]|0);break}case 33:{QH();break}case 34:{e=c[g+-4>>2]|0;break}case 35:{e=c[g>>2]|0;break}case 38:{e=c[42443]|0;i=c[e+4>>2]|0;if(i>>>0>=(c[e+8>>2]|0)>>>0){dm(e,1)|0;i=c[42443]|0;e=i;i=c[i+4>>2]|0}a[i>>0]=0;p=c[e>>2]|0;c[e+4>>2]=p;if(RH(p)|0){s=51;break a}c[(c[g>>2]|0)+80>>2]=c[42444];e=Ql(55016,c[4344]|0)|0;c[(c[g>>2]|0)+84>>2]=e;c[42444]=c[g>>2];c[(c[g>>2]|0)+108>>2]=c[c[42445]>>2];e=c[g>>2]|0;break}case 39:{e=c[42443]|0;i=c[e+4>>2]|0;if(i>>>0>=(c[e+8>>2]|0)>>>0){dm(e,1)|0;i=c[42443]|0;e=i;i=c[i+4>>2]|0}a[i>>0]=0;p=c[e>>2]|0;c[e+4>>2]=p;if(RH(p)|0){s=56;break a}e=c[42444]|0;c[42444]=c[e+80>>2];break}case 40:{e=c[g>>2]|0;break}case 41:{e=c[g+-4>>2]|0;break}case 42:{e=c[g+-4>>2]|0;break}case 43:{e=c[g+-4>>2]|0;break}case 44:{e=c[g+-4>>2]|0;break}case 45:{e=c[g+-4>>2]|0;break}case 48:{e=c[g>>2]|0;break}case 49:{e=c[g>>2]|0;break}case 50:{a[(c[g+-8>>2]|0)+12>>0]=1;e=c[g>>2]|0;break}case 51:{SH();break}case 52:{e=TH()|0;break}case 53:{e=c[g>>2]|0;break}case 54:{e=c[g>>2]|0;break}case 55:{e=(c[g+-8>>2]|0)+100|0;a[e>>0]=a[e>>0]|1;e=c[g>>2]|0;break}case 56:{UH(c[g+-4>>2]|0,c[g>>2]|0,1);break}case 57:{e=c[g+-12>>2]|0;break}case 58:{UH(c[g+-4>>2]|0,c[g>>2]|0,2);break}case 59:{e=c[g+-12>>2]|0;break}case 60:{UH(c[g+-4>>2]|0,c[g>>2]|0,3);break}case 61:{e=c[g+-12>>2]|0;break}case 62:{UH(c[g>>2]|0,MH()|0,2);break}case 63:{e=c[g+-8>>2]|0;break}case 64:{e=c[g+-4>>2]|0;break}case 65:{e=c[g>>2]|0;break}default:{}}while(0);i=0-j|0;p=g+(i<<2)|0;i=o+(i<<1)|0;g=p+4|0;c[p+4>>2]=e;e=(d[125260+h>>0]|0)+-41|0;p=b[i>>1]|0;h=p+(b[58590+(e<<1)>>1]|0)|0;if(h>>>0<272?(a[124428+h>>0]|0)==(p|0):0){e=a[124700+h>>0]|0;j=q;h=i;break}e=a[125330+e>>0]|0;j=q;h=i}while(0);i=k;p=e;q=j;o=h+2|0}if((s|0)==26){LH();e=1;s=96}else if((s|0)==51){cI(125158);LH();e=1;s=96}else if((s|0)==56){cI(125209);LH();e=1;s=96}else if((s|0)==95){cI(125382);e=2;s=96}if((s|0)==96)if((f|0)!=(r|0))_I(f);l=t;return e|0}function KH(b,d){b=b|0;d=d|0;var e=0;e=vw(8)|0;a[e+4>>0]=d;c[e>>2]=b;return e|0}function LH(){var a=0,b=0;a=c[42444]|0;b=c[42442]|0;if(b|0){EF(b,1);c[42442]=0}c[13767]=62;while(1){if(!a)break;b=c[a+80>>2]|0;YH(a);a=b}c[13767]=51;c[13776]=63;b=c[42447]|0;bb[c[b>>2]&31](b,0,64)|0;c[13776]=51;c[13785]=64;b=c[42448]|0;bb[c[b>>2]&31](b,0,64)|0;c[13785]=51;$H();return}function MH(){var a=0,d=0,e=0,f=0,g=0,h=0;e=c[42448]|0;f=vw(40)|0;if(Sl(c[42447]|0)|0)OH(0);a=Sl(e)|0;b[f+4>>1]=a;a:do if(!a)a=e;else{c[f>>2]=vw(a*24|0)|0;a=0;d=bb[c[e>>2]&31](e,0,128)|0;while(1){if(!d){a=e;break a}g=(c[f>>2]|0)+(a*24|0)|0;h=d+8|0;c[g>>2]=c[h>>2];c[g+4>>2]=c[h+4>>2];c[g+8>>2]=c[h+8>>2];c[g+12>>2]=c[h+12>>2];c[g+16>>2]=c[h+16>>2];c[g+20>>2]=c[h+20>>2];a=a+1|0;d=bb[c[e>>2]&31](e,d,8)|0}}while(0);bb[c[a>>2]&31](e,0,64)|0;return f|0}function NH(b){b=b|0;var d=0,e=0,f=0;e=vw(64)|0;f=b+4|0;d=c[f>>2]|0;if(d>>>0>=(c[b+8>>2]|0)>>>0){dm(b,1)|0;d=c[f>>2]|0}a[d>>0]=0;b=c[b>>2]|0;c[f>>2]=b;c[e+8>>2]=GL(b)|0;c[e+12>>2]=c[c[42445]>>2];f=c[42447]|0;bb[c[f>>2]&31](f,e,1)|0;return}function OH(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;i=vw(32)|0;j=c[42447]|0;e=Sl(j)|0;k=i+8|0;a[i+14>>0]=d;a:do if(!e){c[k>>2]=vw(56)|0;b[i+12>>1]=1;h=GL(174181)|0;k=c[k>>2]|0;c[k>>2]=h;c[k+4>>2]=c[c[42445]>>2]}else{b[i+12>>1]=e;c[k>>2]=vw(e*56|0)|0;d=0;e=Ol(j)|0;while(1){if(!e)break a;f=(c[k>>2]|0)+(d*56|0)|0;g=e+8|0;h=f+56|0;do{c[f>>2]=c[g>>2];f=f+4|0;g=g+4|0}while((f|0)<(h|0));d=d+1|0;e=c[e>>2]|0}}while(0);bb[c[j>>2]&31](j,0,64)|0;k=c[42448]|0;bb[c[k>>2]&31](k,i,1)|0;return}function PH(a){a=a|0;var b=0,d=0.0,e=0,f=0,g=0,i=0,j=0;j=l;l=l+32|0;g=j;i=vw(8)|0;f=c[c[42445]>>2]|0;c[g>>2]=c[a>>2];c[g+4>>2]=c[a+4>>2];c[g+8>>2]=c[a+8>>2];c[g+12>>2]=c[a+12>>2];c[g+16>>2]=c[a+16>>2];c[g+20>>2]=c[a+20>>2];c[g+24>>2]=c[a+24>>2];c[g+28>>2]=c[a+28>>2];if(f|0){a=g+4|0;if((c[a>>2]|0)==0?(b=c[f+4>>2]|0,b|0):0)c[a>>2]=b;a=g+16|0;if(+h[a>>3]<0.0?(d=+h[f+16>>3],d>=0.0):0)h[a>>3]=d;if((c[g>>2]|0)==0?(e=c[f>>2]|0,e|0):0)c[g>>2]=e;a=c[f+24>>2]&127;if(a|0){f=g+24|0;e=c[f>>2]|0;c[f>>2]=e&127|a|e&-128}}f=c[(c[42446]|0)+144>>2]|0;c[i>>2]=bb[c[f>>2]&31](f,g,1)|0;c[i+4>>2]=c[42445];c[42445]=i;l=j;return}function QH(){var a=0,b=0;b=c[42445]|0;a=c[b+4>>2]|0;_I(b);c[42445]=a;return}function RH(b){b=b|0;var c=0;while(1){c=a[b>>0]|0;if(!(c<<24>>24)){b=0;break}if(c<<24>>24==32)b=b+1|0;else{b=1;break}}return b|0}function SH(){var b=0,d=0,e=0;e=Ql(55052,c[4344]|0)|0;b=c[42444]|0;d=vw(16)|0;c[d+8>>2]=e;if(a[b+112>>0]&2)a[d+12>>0]=1;e=c[b+84>>2]|0;bb[c[e>>2]&31](e,d,1)|0;return}function TH(){var a=0;a=c[(c[42444]|0)+84>>2]|0;return bb[c[a>>2]&31](a,0,256)|0}function UH(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;g=vw(16)|0;f=c[42444]|0;h=c[f+84>>2]|0;h=c[(bb[c[h>>2]&31](h,0,256)|0)+8>>2]|0;c[g+8>>2]=b;bb[c[h>>2]&31](h,g,1)|0;a[b+92>>0]=e;if(a[f+112>>0]&1)a[b+100>>0]=1;c[b+88>>2]=d;return}function VH(a,b,c){a=a|0;b=b|0;c=c|0;_I(b);return}function WH(a,b,d){a=a|0;b=b|0;d=d|0;Kl(c[b+8>>2]|0)|0;_I(b);return}function XH(a,b,d){a=a|0;b=b|0;d=d|0;aI(c[b+8>>2]|0);_I(b);return}function YH(a){a=a|0;Kl(c[a+84>>2]|0)|0;BF(a);_I(a);return}function ZH(a,b,d){a=a|0;b=b|0;d=d|0;_I(c[b+8>>2]|0);_I(b);return}function _H(a,d,e){a=a|0;d=d|0;e=e|0;var f=0,g=0,h=0;g=d+12|0;a=b[g>>1]|0;if(a<<16>>16){h=d+8|0;e=0;f=c[h>>2]|0;while(1){if((e|0)>=(a<<16>>16|0))break;_I(c[f>>2]|0);e=e+1|0;f=f+56|0;a=b[g>>1]|0}_I(c[h>>2]|0)}_I(d);return}function $H(){var a=0,b=0;a=c[42445]|0;while(1){b=c[a+4>>2]|0;if(!b)break;_I(a);a=b}return}function aI(b){b=b|0;var d=0;d=b+88|0;switch(a[b+92>>0]|0){case 1:{YH(c[d>>2]|0);break}case 2:{CF(c[d>>2]|0);break}default:{}}BF(b);_I(b);return}function bI(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;f=l;l=l+160|0;e=f+8|0;g=f;c[g>>2]=0;c[g+4>>2]=0;c[42445]=g;c[42444]=0;c[42442]=0;c[42446]=c[(c[(c[d+52>>2]|0)+16>>2]|0)+144>>2];c[42447]=Ql(55088,c[4344]|0)|0;c[42448]=Ql(55124,c[4344]|0)|0;cm(e,128,f+24|0);c[42443]=e;if(!(eI(a,e,d)|0)){JH()|0;c[b>>2]=fI()|0;a=c[42442]|0}else{c[b>>2]=2;a=0}Kl(c[42447]|0)|0;Kl(c[42448]|0)|0;c[42447]=0;c[42448]=0;c[42445]=0;gm(e);l=f;return a|0}function cI(b){b=b|0;var d=0,e=0;e=l;l=l+16|0;d=e;if(!(a[169796]|0)){a[169796]=1;c[d>>2]=b;c[d+4>>2]=0;_l(1,125399,d)|0;dI()}else{l=e;return}}function dI(){Ta()}function eI(a,b,d){a=a|0;b=b|0;d=d|0;a=l;l=l+16|0;if(!(c[42450]|0)){_l(0,125415,a)|0;c[42450]=(c[42450]|0)+1}l=a;return 1}function fI(){return 1}function gI(){return -1}function hI(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+64|0;m=u+48|0;k=u+32|0;s=4;j=ZI(40)|0;c[j>>2]=0;n=u+16|0;q=u;r=c[d>>2]|0;i=c[d+4>>2]|0;s=RN(169804,1,j|0,s|0)|0;j=z;o=0;d=o;o=0;if((d|0)!=0&(p|0)!=0){g=SN(c[d>>2]|0,s|0,j|0)|0;if(!g)Ua(d|0,p|0);z=p}else g=-1;if((g|0)==1)d=z;else d=0;while(1){if(d|0){d=-1;break}o=0;c[m>>2]=c[e>>2];c[m+4>>2]=c[e+4>>2];c[m+8>>2]=c[e+8>>2];c[m+12>>2]=c[e+12>>2];ga(26,n|0,m|0);d=o;o=0;if((d|0)!=0&(p|0)!=0){g=SN(c[d>>2]|0,s|0,j|0)|0;if(!g)Ua(d|0,p|0);z=p}else g=-1;if((g|0)==1){d=z;continue};c[e>>2]=c[n>>2];c[e+4>>2]=c[n+4>>2];c[e+8>>2]=c[n+8>>2];c[e+12>>2]=c[n+12>>2];h=e+16|0;o=0;c[m>>2]=c[h>>2];c[m+4>>2]=c[h+4>>2];c[m+8>>2]=c[h+8>>2];c[m+12>>2]=c[h+12>>2];ga(26,q|0,m|0);d=o;o=0;if((d|0)!=0&(p|0)!=0){g=SN(c[d>>2]|0,s|0,j|0)|0;if(!g)Ua(d|0,p|0);z=p}else g=-1;if((g|0)==1){d=z;continue};c[h>>2]=c[q>>2];c[h+4>>2]=c[q+4>>2];c[h+8>>2]=c[q+8>>2];c[h+12>>2]=c[q+12>>2];c[42490]=0;o=0;fa(93,4);d=o;o=0;if((d|0)!=0&(p|0)!=0){g=SN(c[d>>2]|0,s|0,j|0)|0;if(!g)Ua(d|0,p|0);z=p}else g=-1;if((g|0)==1){d=z;continue}g=c[42491]|0;d=c[42490]|0;c[42490]=d+1;d=g+(d<<4)|0;c[d>>2]=c[r>>2];c[d+4>>2]=c[r+4>>2];c[d+8>>2]=c[r+8>>2];c[d+12>>2]=c[r+12>>2];o=0;c[k>>2]=c[e>>2];c[k+4>>2]=c[e+4>>2];c[k+8>>2]=c[e+8>>2];c[k+12>>2]=c[e+12>>2];c[m>>2]=c[h>>2];c[m+4>>2]=c[h+4>>2];c[m+8>>2]=c[h+8>>2];c[m+12>>2]=c[h+12>>2];d=da(1,a|0,b|0,r|0,i|0,k|0,m|0)|0;g=o;o=0;if((g|0)!=0&(p|0)!=0){h=SN(c[g>>2]|0,s|0,j|0)|0;if(!h)Ua(g|0,p|0);z=p}else h=-1;if((h|0)==1)d=z;else{t=8;break}}if((t|0)==8)if((d|0)==-1)d=-1;else{c[f+4>>2]=c[42490];c[f>>2]=c[42491];d=0}_I(s|0);l=u;return d|0}function iI(a,b){a=a|0;b=b|0;var d=0.0,e=0,f=0.0,g=0.0,i=0.0;d=+h[b>>3];e=b+8|0;f=+h[e>>3];i=f*f+d*d;g=+C(+i);if(i>1.0e-06){h[b>>3]=d/g;h[e>>3]=f/g};c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];return}function jI(a){a=a|0;var b=0,d=0,e=0,f=0;f=l;l=l+32|0;e=f+16|0;d=f;if((c[42494]|0)<(a|0)){b=c[42491]|0;if(!b){e=ZI(a<<4)|0;c[42491]=e;if(!e){e=c[13918]|0;c[d>>2]=125476;c[d+4>>2]=531;c[d+8>>2]=125611;zL(e,125484,d)|0;Ua(169804,1)}}else{d=aJ(b,a<<4)|0;c[42491]=d;if(!d){d=c[13918]|0;c[e>>2]=125476;c[e+4>>2]=537;c[e+8>>2]=125629;zL(d,125484,e)|0;Ua(169804,1)}}c[42494]=a}l=f;return}function kI(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0.0,k=0,m=0.0,n=0,o=0.0,p=0.0,q=0,r=0.0,s=0.0,t=0.0,u=0.0,v=0.0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0,T=0.0,U=0.0,V=0.0,W=0.0;R=l;l=l+336|0;J=R+320|0;I=R+304|0;w=R+144|0;q=R+128|0;G=R+112|0;H=R+96|0;Q=R+80|0;A=R+64|0;C=R+48|0;K=R+32|0;L=R+16|0;M=R;x=R+288|0;y=R+272|0;z=R+256|0;B=R+240|0;D=R+224|0;E=R+208|0;N=R+192|0;O=R+176|0;P=R+160|0;i=c[42493]|0;do if((c[42492]|0)<(e|0)){if(!i){i=ZI(e*40|0)|0;c[42493]=i;if(!i){i=-1;break}}else{i=aJ(i,e*40|0)|0;c[42493]=i;if(!i){i=-1;break}}c[42492]=e;k=6}else k=6;while(0);if((k|0)==6){h[i>>3]=0.0;k=1;j=0.0;while(1){if((k|0)>=(e|0))break;n=d+(k<<4)|0;F=d+(k+-1<<4)|0;c[I>>2]=c[n>>2];c[I+4>>2]=c[n+4>>2];c[I+8>>2]=c[n+8>>2];c[I+12>>2]=c[n+12>>2];c[J>>2]=c[F>>2];c[J+4>>2]=c[F+4>>2];c[J+8>>2]=c[F+8>>2];c[J+12>>2]=c[F+12>>2];v=+lI(I,J)+j;h[i+(k*40|0)>>3]=v;k=k+1|0;j=v}F=e+-1|0;n=i+(F*40|0)|0;k=1;while(1){if((k|0)>=(e|0))break;S=i+(k*40|0)|0;h[S>>3]=+h[S>>3]/+h[n>>3];k=k+1|0}k=0;while(1){if((k|0)>=(e|0))break;S=i+(k*40|0)+8|0;n=i+(k*40|0)|0;v=+mI(+h[n>>3]);c[J>>2]=c[f>>2];c[J+4>>2]=c[f+4>>2];c[J+8>>2]=c[f+8>>2];c[J+12>>2]=c[f+12>>2];nI(x,J,v);c[S>>2]=c[x>>2];c[S+4>>2]=c[x+4>>2];c[S+8>>2]=c[x+8>>2];c[S+12>>2]=c[x+12>>2];S=i+(k*40|0)+24|0;v=+oI(+h[n>>3]);c[J>>2]=c[g>>2];c[J+4>>2]=c[g+4>>2];c[J+8>>2]=c[g+8>>2];c[J+12>>2]=c[g+12>>2];nI(y,J,v);c[S>>2]=c[y>>2];c[S+4>>2]=c[y+4>>2];c[S+8>>2]=c[y+8>>2];c[S+12>>2]=c[y+12>>2];k=k+1|0}c[I>>2]=c[f>>2];c[I+4>>2]=c[f+4>>2];c[I+8>>2]=c[f+8>>2];c[I+12>>2]=c[f+12>>2];c[J>>2]=c[g>>2];c[J+4>>2]=c[g+4>>2];c[J+8>>2]=c[g+8>>2];c[J+12>>2]=c[g+12>>2];pI(d,e,i,I,J,G,A,H,C);c[q>>2]=c[G>>2];c[q+4>>2]=c[G+4>>2];c[q+8>>2]=c[G+8>>2];c[q+12>>2]=c[G+12>>2];c[w>>2]=c[A>>2];c[w+4>>2]=c[A+4>>2];c[w+8>>2]=c[A+8>>2];c[w+12>>2]=c[A+12>>2];c[I>>2]=c[H>>2];c[I+4>>2]=c[H+4>>2];c[I+8>>2]=c[H+8>>2];c[I+12>>2]=c[H+12>>2];c[J>>2]=c[C>>2];c[J+4>>2]=c[C+4>>2];c[J+8>>2]=c[C+8>>2];c[J+12>>2]=c[C+12>>2];if(!(qI(a,b,q,w,I,J,d,e)|0)){c[J>>2]=c[A>>2];c[J+4>>2]=c[A+4>>2];c[J+8>>2]=c[A+8>>2];c[J+12>>2]=c[A+12>>2];nI(z,J,.3333333333333333);c[I>>2]=c[G>>2];c[I+4>>2]=c[G+4>>2];c[I+8>>2]=c[G+8>>2];c[I+12>>2]=c[G+12>>2];c[J>>2]=c[z>>2];c[J+4>>2]=c[z+4>>2];c[J+8>>2]=c[z+8>>2];c[J+12>>2]=c[z+12>>2];rI(B,I,J);v=+h[B>>3];u=+h[B+8>>3];c[J>>2]=c[C>>2];c[J+4>>2]=c[C+4>>2];c[J+8>>2]=c[C+8>>2];c[J+12>>2]=c[C+12>>2];nI(D,J,.3333333333333333);c[I>>2]=c[H>>2];c[I+4>>2]=c[H+4>>2];c[I+8>>2]=c[H+8>>2];c[I+12>>2]=c[H+12>>2];c[J>>2]=c[D>>2];c[J+4>>2]=c[D+4>>2];c[J+8>>2]=c[D+8>>2];c[J+12>>2]=c[D+12>>2];sI(E,I,J);t=+h[E>>3];p=+h[E+8>>3];q=c[42493]|0;r=+h[G>>3];s=+h[H>>3];o=+h[G+8>>3];m=+h[H+8>>3];n=Q+8|0;i=-1;j=-1.0;k=1;while(1){if((k|0)>=(F|0))break;T=+h[q+(k*40|0)>>3];U=+tI(T);V=+mI(T);W=+oI(T);T=+uI(T);h[Q>>3]=V*v+r*U+W*t+s*T;h[n>>3]=W*p+V*u+o*U+m*T;S=d+(k<<4)|0;c[I>>2]=c[Q>>2];c[I+4>>2]=c[Q+4>>2];c[I+8>>2]=c[Q+8>>2];c[I+12>>2]=c[Q+12>>2];c[J>>2]=c[S>>2];c[J+4>>2]=c[S+4>>2];c[J+8>>2]=c[S+8>>2];c[J+12>>2]=c[S+12>>2];T=+lI(I,J);S=T>j;i=S?k:i;j=S?T:j;k=k+1|0}S=d+(i<<4)|0;Q=d+(i+-1<<4)|0;c[I>>2]=c[S>>2];c[I+4>>2]=c[S+4>>2];c[I+8>>2]=c[S+8>>2];c[I+12>>2]=c[S+12>>2];c[J>>2]=c[Q>>2];c[J+4>>2]=c[Q+4>>2];c[J+8>>2]=c[Q+8>>2];c[J+12>>2]=c[Q+12>>2];sI(N,I,J);c[J>>2]=c[N>>2];c[J+4>>2]=c[N+4>>2];c[J+8>>2]=c[N+8>>2];c[J+12>>2]=c[N+12>>2];iI(L,J);Q=i+1|0;N=d+(Q<<4)|0;c[I>>2]=c[N>>2];c[I+4>>2]=c[N+4>>2];c[I+8>>2]=c[N+8>>2];c[I+12>>2]=c[N+12>>2];c[J>>2]=c[S>>2];c[J+4>>2]=c[S+4>>2];c[J+8>>2]=c[S+8>>2];c[J+12>>2]=c[S+12>>2];sI(O,I,J);c[J>>2]=c[O>>2];c[J+4>>2]=c[O+4>>2];c[J+8>>2]=c[O+8>>2];c[J+12>>2]=c[O+12>>2];iI(M,J);c[I>>2]=c[L>>2];c[I+4>>2]=c[L+4>>2];c[I+8>>2]=c[L+8>>2];c[I+12>>2]=c[L+12>>2];c[J>>2]=c[M>>2];c[J+4>>2]=c[M+4>>2];c[J+8>>2]=c[M+8>>2];c[J+12>>2]=c[M+12>>2];rI(P,I,J);c[J>>2]=c[P>>2];c[J+4>>2]=c[P+4>>2];c[J+8>>2]=c[P+8>>2];c[J+12>>2]=c[P+12>>2];iI(K,J);c[I>>2]=c[f>>2];c[I+4>>2]=c[f+4>>2];c[I+8>>2]=c[f+8>>2];c[I+12>>2]=c[f+12>>2];c[J>>2]=c[K>>2];c[J+4>>2]=c[K+4>>2];c[J+8>>2]=c[K+8>>2];c[J+12>>2]=c[K+12>>2];kI(a,b,d,Q,I,J)|0;c[I>>2]=c[K>>2];c[I+4>>2]=c[K+4>>2];c[I+8>>2]=c[K+8>>2];c[I+12>>2]=c[K+12>>2];c[J>>2]=c[g>>2];c[J+4>>2]=c[g+4>>2];c[J+8>>2]=c[g+8>>2];c[J+12>>2]=c[g+12>>2];kI(a,b,S,e-i|0,I,J)|0;i=0}else i=0}l=R;return i|0}function lI(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;c=+h[b>>3]-+h[a>>3];d=+h[b+8>>3]-+h[a+8>>3];return +(+C(+(d*d+c*c)))}function mI(a){a=+a;var b=0.0;b=1.0-a;return +(b*b*(a*3.0))}function nI(a,b,d){a=a|0;b=b|0;d=+d;var e=0;h[b>>3]=+h[b>>3]*d;e=b+8|0;h[e>>3]=+h[e>>3]*d;c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];return}function oI(a){a=+a;return +(a*a*3.0*(1.0-a))}function pI(a,b,d,e,f,g,i,j,k){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;j=j|0;k=k|0;var m=0.0,n=0.0,o=0.0,p=0.0,q=0,r=0,s=0,t=0,u=0,v=0,w=0.0,x=0.0,y=0.0,z=0.0,A=0.0,B=0,C=0,D=0,E=0,F=0,G=0,H=0.0,I=0.0,J=0,K=0,L=0,M=0;G=l;l=l+128|0;B=G+112|0;v=G+80|0;u=G;r=G+96|0;s=G+64|0;t=G+48|0;C=G+32|0;D=G+16|0;E=a+(b+-1<<4)|0;q=0;w=0.0;x=0.0;y=0.0;z=0.0;A=0.0;while(1){if((q|0)>=(b|0))break;K=d+(q*40|0)+8|0;c[v>>2]=c[K>>2];c[v+4>>2]=c[K+4>>2];c[v+8>>2]=c[K+8>>2];c[v+12>>2]=c[K+12>>2];c[B>>2]=c[K>>2];c[B+4>>2]=c[K+4>>2];c[B+8>>2]=c[K+8>>2];c[B+12>>2]=c[K+12>>2];H=+AI(v,B)+x;J=d+(q*40|0)+24|0;c[v>>2]=c[K>>2];c[v+4>>2]=c[K+4>>2];c[v+8>>2]=c[K+8>>2];c[v+12>>2]=c[K+12>>2];c[B>>2]=c[J>>2];c[B+4>>2]=c[J+4>>2];c[B+8>>2]=c[J+8>>2];c[B+12>>2]=c[J+12>>2];p=+AI(v,B)+A;c[v>>2]=c[J>>2];c[v+4>>2]=c[J+4>>2];c[v+8>>2]=c[J+8>>2];c[v+12>>2]=c[J+12>>2];c[B>>2]=c[J>>2];c[B+4>>2]=c[J+4>>2];c[B+8>>2]=c[J+8>>2];c[B+12>>2]=c[J+12>>2];o=+AI(v,B)+y;L=a+(q<<4)|0;M=d+(q*40|0)|0;I=+BI(+h[M>>3]);c[B>>2]=c[a>>2];c[B+4>>2]=c[a+4>>2];c[B+8>>2]=c[a+8>>2];c[B+12>>2]=c[a+12>>2];nI(s,B,I);I=+CI(+h[M>>3]);c[B>>2]=c[E>>2];c[B+4>>2]=c[E+4>>2];c[B+8>>2]=c[E+8>>2];c[B+12>>2]=c[E+12>>2];nI(t,B,I);c[v>>2]=c[s>>2];c[v+4>>2]=c[s+4>>2];c[v+8>>2]=c[s+8>>2];c[v+12>>2]=c[s+12>>2];c[B>>2]=c[t>>2];c[B+4>>2]=c[t+4>>2];c[B+8>>2]=c[t+8>>2];c[B+12>>2]=c[t+12>>2];rI(r,v,B);c[v>>2]=c[L>>2];c[v+4>>2]=c[L+4>>2];c[v+8>>2]=c[L+8>>2];c[v+12>>2]=c[L+12>>2];c[B>>2]=c[r>>2];c[B+4>>2]=c[r+4>>2];c[B+8>>2]=c[r+8>>2];c[B+12>>2]=c[r+12>>2];sI(u,v,B);c[v>>2]=c[K>>2];c[v+4>>2]=c[K+4>>2];c[v+8>>2]=c[K+8>>2];c[v+12>>2]=c[K+12>>2];c[B>>2]=c[u>>2];c[B+4>>2]=c[u+4>>2];c[B+8>>2]=c[u+8>>2];c[B+12>>2]=c[u+12>>2];I=+AI(v,B)+w;c[v>>2]=c[J>>2];c[v+4>>2]=c[J+4>>2];c[v+8>>2]=c[J+8>>2];c[v+12>>2]=c[J+12>>2];c[B>>2]=c[u>>2];c[B+4>>2]=c[u+4>>2];c[B+8>>2]=c[u+8>>2];c[B+12>>2]=c[u+12>>2];q=q+1|0;w=I;x=H;y=o;z=+AI(v,B)+z;A=p}o=y*x-A*A;p=o>=0.0?o:-o;if(!(p>=1.0e-06?(m=(y*w-A*z)/o,n=(x*z-A*w)/o,!(p<1.0e-06|m<=0.0|n<=0.0)):0))F=6;if((F|0)==6){c[v>>2]=c[a>>2];c[v+4>>2]=c[a+4>>2];c[v+8>>2]=c[a+8>>2];c[v+12>>2]=c[a+12>>2];c[B>>2]=c[E>>2];c[B+4>>2]=c[E+4>>2];c[B+8>>2]=c[E+8>>2];c[B+12>>2]=c[E+12>>2];m=+lI(v,B)*.3333333333333333;n=m};c[g>>2]=c[a>>2];c[g+4>>2]=c[a+4>>2];c[g+8>>2]=c[a+8>>2];c[g+12>>2]=c[a+12>>2];c[B>>2]=c[e>>2];c[B+4>>2]=c[e+4>>2];c[B+8>>2]=c[e+8>>2];c[B+12>>2]=c[e+12>>2];nI(C,B,m);c[i>>2]=c[C>>2];c[i+4>>2]=c[C+4>>2];c[i+8>>2]=c[C+8>>2];c[i+12>>2]=c[C+12>>2];c[j>>2]=c[E>>2];c[j+4>>2]=c[E+4>>2];c[j+8>>2]=c[E+8>>2];c[j+12>>2]=c[E+12>>2];c[B>>2]=c[f>>2];c[B+4>>2]=c[f+4>>2];c[B+8>>2]=c[f+8>>2];c[B+12>>2]=c[f+12>>2];nI(D,B,n);c[k>>2]=c[D>>2];c[k+4>>2]=c[D+4>>2];c[k+8>>2]=c[D+8>>2];c[k+12>>2]=c[D+12>>2];l=G;return}function qI(a,b,d,e,f,g,i,j){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;j=j|0;var k=0.0,m=0.0,n=0.0,o=0.0,p=0.0,q=0,r=0.0,s=0.0,t=0,u=0.0,v=0,w=0.0,x=0,y=0.0,z=0,A=0,B=0,C=0,D=0.0,E=0;C=l;l=l+64|0;B=C;z=(j|0)==2;y=+h[d>>3];u=+h[d+8>>3];v=B+8|0;w=+h[e>>3];x=B+16|0;p=+h[e+8>>3];q=B+24|0;r=+h[f>>3];s=+h[g>>3];t=B+32|0;o=+h[f+8>>3];n=+h[g+8>>3];e=B+40|0;f=B+48|0;g=B+56|0;d=1;k=4.0;m=4.0;while(1){h[B>>3]=y;h[v>>3]=u;D=m*.3333333333333333;h[x>>3]=D*w+y;h[q>>3]=D*p+u;D=k*.3333333333333333;h[t>>3]=r-D*s;h[e>>3]=o-D*n;h[f>>3]=r;h[g>>3]=o;if(d?(D=+vI(B,4),D<+vI(i,j)+-.001):0){d=0;break}if(wI(a,b,B)|0){A=5;break}if(m==0.0&k==0.0){A=9;break}E=m>.01;d=0;k=E?k*.5:0.0;m=E?m*.5:0.0}a:do if((A|0)==5){jI((c[42490]|0)+4|0);e=c[42491]|0;d=1;while(1){if((d|0)==4){d=1;break a}E=c[42490]|0;h[e+(E<<4)>>3]=+h[B+(d<<4)>>3];D=+h[B+(d<<4)+8>>3];c[42490]=E+1;h[e+(E<<4)+8>>3]=D;d=d+1|0}}else if((A|0)==9)if(z){jI((c[42490]|0)+4|0);e=c[42491]|0;d=1;while(1){if((d|0)==4){d=1;break a}E=c[42490]|0;h[e+(E<<4)>>3]=+h[B+(d<<4)>>3];D=+h[B+(d<<4)+8>>3];c[42490]=E+1;h[e+(E<<4)+8>>3]=D;d=d+1|0}}else d=0;while(0);l=C;return d|0}function rI(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;h[b>>3]=+h[b>>3]+ +h[d>>3];e=b+8|0;h[e>>3]=+h[e>>3]+ +h[d+8>>3];c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];return}function sI(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;h[b>>3]=+h[b>>3]-+h[d>>3];e=b+8|0;h[e>>3]=+h[e>>3]-+h[d+8>>3];c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];return}function tI(a){a=+a;a=1.0-a;return +(a*a*a)}function uI(a){a=+a;return +(a*a*a)}function vI(a,b){a=a|0;b=b|0;var c=0.0,d=0,e=0.0,f=0.0,g=0;c=0.0;d=1;while(1){if((d|0)>=(b|0))break;g=d+-1|0;e=+h[a+(d<<4)>>3]-+h[a+(g<<4)>>3];f=+h[a+(d<<4)+8>>3]-+h[a+(g<<4)+8>>3];c=+C(+(f*f+e*e))+c;d=d+1|0}return +c}function wI(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0.0,p=0.0,q=0.0,r=0.0,s=0.0,t=0,u=0,v=0.0,w=0,x=0.0,y=0,z=0,A=0,B=0,C=0,D=0.0,E=0.0;C=l;l=l+64|0;t=C+32|0;u=C;w=u+16|0;y=d+16|0;z=d+32|0;A=d+48|0;B=d+8|0;g=d+24|0;i=d+40|0;j=d+56|0;k=u+8|0;m=u+24|0;f=0;a:while(1){if((f|0)>=(b|0)){e=1;break}n=a+(f<<5)|0;c[u>>2]=c[n>>2];c[u+4>>2]=c[n+4>>2];c[u+8>>2]=c[n+8>>2];c[u+12>>2]=c[n+12>>2];n=a+(f<<5)+16|0;c[w>>2]=c[n>>2];c[w+4>>2]=c[n+4>>2];c[w+8>>2]=c[n+8>>2];c[w+12>>2]=c[n+12>>2];n=xI(d,u,t)|0;b:do if((n|0)!=4){o=+h[u>>3];p=+h[k>>3];q=+h[w>>3];r=+h[m>>3];e=0;while(1){if((e|0)>=(n|0))break b;s=+h[t+(e<<3)>>3];if((!(s<1.0e-06|s>.999999)?(x=s*s*s,E=s*3.0,D=1.0-s,s=E*s*D,v=D*D,E=v*E,D=v*D,v=+h[y>>3]*E+ +h[d>>3]*D+ +h[z>>3]*s+ +h[A>>3]*x,x=+h[g>>3]*E+ +h[B>>3]*D+ +h[i>>3]*s+ +h[j>>3]*x,s=v-o,D=x-p,!(D*D+s*s<.001)):0)?(E=v-q,D=x-r,!(D*D+E*E<.001)):0){e=0;break a}e=e+1|0}}while(0);f=f+1|0}l=C;return e|0}function xI(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0,j=0.0,k=0,m=0,n=0,o=0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0;v=l;l=l+96|0;s=v+48|0;t=v+24|0;k=v;u=v+80|0;p=+h[b>>3];g=+h[b+16>>3]-p;q=+h[b+8>>3];j=+h[b+24>>3]-q;c[u>>2]=0;a:do if(!(g==0.0)){j=j/g;m=a+16|0;n=a+32|0;o=a+48|0;yI(+h[a+8>>3]-+h[a>>3]*j,+h[a+24>>3]-+h[m>>3]*j,+h[a+40>>3]-+h[n>>3]*j,+h[a+56>>3]-+h[o>>3]*j,s);h[s>>3]=j*p-q+ +h[s>>3];e=UI(s,t)|0;if((e|0)==4)b=4;else{f=s+8|0;i=s+16|0;k=s+24|0;g=1.0/g;b=0;while(1){if((b|0)>=(e|0))break;j=+h[t+(b<<3)>>3];if(j>=0.0&j<=1.0?(yI(+h[a>>3],+h[m>>3],+h[n>>3],+h[o>>3],s),q=(+h[s>>3]-p+((+h[k>>3]*j+ +h[i>>3])*j+ +h[f>>3])*j)*g,q>=0.0&q<=1.0):0)zI(j,d,u);b=b+1|0}b=c[u>>2]|0}}else{yI(+h[a>>3],+h[a+16>>3],+h[a+32>>3],+h[a+48>>3],s);h[s>>3]=+h[s>>3]-p;r=UI(s,t)|0;if(!(j==0.0)){if((r|0)==4){b=4;break}m=a+8|0;n=a+24|0;o=a+40|0;e=a+56|0;f=s+8|0;i=s+16|0;k=s+24|0;g=1.0/j;b=0;while(1){if((b|0)>=(r|0))break;j=+h[t+(b<<3)>>3];if(j>=0.0&j<=1.0?(yI(+h[m>>3],+h[n>>3],+h[o>>3],+h[e>>3],s),p=(+h[s>>3]-q+((+h[k>>3]*j+ +h[i>>3])*j+ +h[f>>3])*j)*g,p>=0.0&p<=1.0):0)zI(j,d,u);b=b+1|0}b=c[u>>2]|0;break}yI(+h[a+8>>3],+h[a+24>>3],+h[a+40>>3],+h[a+56>>3],s);h[s>>3]=+h[s>>3]-q;i=UI(s,k)|0;b=(i|0)==4;b:do if((r|0)==4){if(b){b=4;break a}else b=0;while(1){if((b|0)>=(i|0))break b;zI(+h[k+(b<<3)>>3],d,u);b=b+1|0}}else{if(b){b=0;while(1){if((b|0)>=(r|0))break b;zI(+h[t+(b<<3)>>3],d,u);b=b+1|0}}else e=0;while(1){if((e|0)>=(r|0))break b;f=t+(e<<3)|0;b=0;while(1){if((b|0)>=(i|0))break;g=+h[f>>3];if(g==+h[k+(b<<3)>>3])zI(g,d,u);b=b+1|0}e=e+1|0}}while(0);b=c[u>>2]|0}while(0);l=v;return b|0}function yI(a,b,c,d,e){a=+a;b=+b;c=+c;d=+d;e=e|0;h[e+24>>3]=d-a+(b-c)*3.0;h[e+16>>3]=(c+a)*3.0-b*6.0;h[e+8>>3]=(b-a)*3.0;h[e>>3]=a;return}function zI(a,b,d){a=+a;b=b|0;d=d|0;var e=0;if(a>=0.0&a<=1.0){e=c[d>>2]|0;h[b+(e<<3)>>3]=a;c[d>>2]=e+1}return}function AI(a,b){a=a|0;b=b|0;return +(+h[b+8>>3]*+h[a+8>>3]+ +h[b>>3]*+h[a>>3])}function BI(a){a=+a;var b=0.0;b=1.0-a;return +(b*b*(b+a*3.0))}function CI(a){a=+a;return +(a*a*((1.0-a)*3.0+a))}\nfunction sx(d,f,g){d=d|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0.0,n=0,o=0.0,p=0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0,T=0,U=0,V=0,W=0,X=0,Y=0;Y=l;l=l+2288|0;W=Y+208|0;V=Y+192|0;U=Y+176|0;T=Y+160|0;S=Y+144|0;R=Y+128|0;P=Y+112|0;O=Y+96|0;N=Y+80|0;M=Y+64|0;L=Y+56|0;K=Y+48|0;X=Y+32|0;Q=Y+24|0;J=Y;G=Y+1264|0;H=Y+224|0;I=d+16|0;C=(e[(c[I>>2]|0)+178>>1]|0)>2;Fv(1);jx(d);cm(H,1024,Y+240|0);tB(d,1,87657,174181)|0;tB(d,1,87661,174181)|0;c[42190]=tB(d,1,96043,174181)|0;c[42189]=tB(d,1,96049,174181)|0;tB(d,2,87657,174181)|0;i=a[(c[I>>2]|0)+113>>0]|0;if(i&16){tB(d,1,87667,174181)|0;i=a[(c[I>>2]|0)+113>>0]|0}if(i&1){tB(d,2,87671,174181)|0;i=a[(c[I>>2]|0)+113>>0]|0}if(i&32){tB(d,2,87667,174181)|0;i=a[(c[I>>2]|0)+113>>0]|0}if(i&2){tB(d,2,87674,174181)|0;i=a[(c[I>>2]|0)+113>>0]|0}if(i&4){tB(d,2,87682,174181)|0;i=a[(c[I>>2]|0)+113>>0]|0}if(!(i&8)){v=0;w=0;x=0}else{x=tB(d,0,87671,174181)|0;w=tB(d,0,87690,174181)|0;v=tB(d,0,87697,174181)|0}z=tB(d,0,87705,174181)|0;A=H+4|0;B=H+8|0;u=0;i=0;y=co(d)|0;while(1){if(!y)break;t=y+16|0;k=c[t>>2]|0;o=+h[k+16>>3];j=(c[42183]|0)==0;if(C){if(j)m=+h[k+24>>3];else m=+h[20895]-+h[k+24>>3];q=+h[(c[k+132>>2]|0)+16>>3]*72.0;h[J>>3]=o;h[J+8>>3]=m;h[J+16>>3]=q;pL(G,87708,J)|0;fm(H,G)|0;j=3;while(1){if((j|0)>=(e[(c[I>>2]|0)+178>>1]|0))break;h[Q>>3]=+h[(c[(c[t>>2]|0)+132>>2]|0)+(j<<3)>>3]*72.0;pL(G,87723,Q)|0;fm(H,G)|0;j=j+1|0}j=c[A>>2]|0;if(j>>>0>=(c[B>>2]|0)>>>0){dm(H,1)|0;j=c[A>>2]|0}a[j>>0]=0;s=c[H>>2]|0;c[A>>2]=s;Km(y,87657,s)|0;s=y}else{if(j)m=+h[k+24>>3];else m=+h[20895]-+h[k+24>>3];h[X>>3]=o;h[X+8>>3]=m;pL(G,87729,X)|0;Km(y,87657,G)|0;s=y}h[K>>3]=+h[(c[t>>2]|0)+80>>3]*.013888888888888888;pL(G,87652,K)|0;Cm(s,c[42189]|0,G)|0;j=c[t>>2]|0;h[L>>3]=(+h[j+96>>3]+ +h[j+88>>3])*.013888888888888888;pL(G,87652,L)|0;Cm(s,c[42190]|0,G)|0;j=c[t>>2]|0;k=c[j+108>>2]|0;if((k|0)!=0?(a[k+81>>0]|0)!=0:0){q=+h[k+64>>3];q=(c[42183]|0)==0?q:+h[20895]-q;h[M>>3]=+h[k+56>>3];h[M+8>>3]=q;pL(G,87729,M)|0;Km(s,87667,G)|0;j=c[t>>2]|0}if(xJ(c[c[j+8>>2]>>2]|0,91264)|0){if(c[42214]|0?(Oy(y)|0)<<24>>24:0){k=c[(c[t>>2]|0)+12>>2]|0;r=k+8|0;j=c[r>>2]|0;if((j|0)<3){j=Im(s,87739)|0;if(!j)j=8;else j=rM(j)|0;j=(j|0)<3?8:j}p=k+44|0;q=1.0/+(j|0);n=0;while(1){if((n|0)>=(j|0))break;if((n|0)>0){k=c[A>>2]|0;if(k>>>0>=(c[B>>2]|0)>>>0){dm(H,1)|0;k=c[A>>2]|0}c[A>>2]=k+1;a[k>>0]=32}if((c[r>>2]|0)>2){k=c[p>>2]|0;if(!(c[42183]|0))m=+h[k+(n<<4)+8>>3]*.013888888888888888;else m=+h[20896]-+h[k+(n<<4)+8>>3]*.013888888888888888;h[N>>3]=+h[k+(n<<4)>>3]*.013888888888888888;h[N+8>>3]=m;pL(G,87752,N)|0}else{k=c[t>>2]|0;m=q*+(n|0)*6.283185307179586;o=+h[k+32>>3]*.5*+E(+m);if(!(c[42183]|0))m=+h[k+40>>3]*.5*+F(+m);else m=+h[20896]-+h[k+40>>3]*.5*+F(+m);h[O>>3]=o;h[O+8>>3]=m;pL(G,87752,O)|0}fm(H,G)|0;n=n+1|0}k=c[42214]|0;j=c[A>>2]|0;if(j>>>0>=(c[B>>2]|0)>>>0){dm(H,1)|0;j=c[A>>2]|0}a[j>>0]=0;t=c[H>>2]|0;c[A>>2]=t;Cm(s,k,t)|0}}else{tx(y,c[j+12>>2]|0,H);hm(H)|0;j=c[A>>2]|0;if(j>>>0>=(c[B>>2]|0)>>>0){dm(H,1)|0;j=c[A>>2]|0}a[j>>0]=0;t=c[H>>2]|0;c[A>>2]=t;Km(s,87661,t)|0}a:do if((c[42181]|0)>0){t=Pm(d,y)|0;j=u;while(1){if(!t)break a;s=t+16|0;k=c[s>>2]|0;do if((a[k+112>>0]|0)!=6?(D=c[k+8>>2]|0,(D|0)!=0):0){r=0;k=D;while(1){if((r|0)>=(c[k+4>>2]|0))break;if((r|0)>0){k=c[A>>2]|0;if(k>>>0>=(c[B>>2]|0)>>>0){dm(H,1)|0;k=c[A>>2]|0}c[A>>2]=k+1;a[k>>0]=59;k=c[(c[s>>2]|0)+8>>2]|0}k=c[k>>2]|0;if(c[k+(r*48|0)+8>>2]|0){if(!(c[42183]|0))m=+h[k+(r*48|0)+24>>3];else m=+h[20895]-+h[k+(r*48|0)+24>>3];h[P>>3]=+h[k+(r*48|0)+16>>3];h[P+8>>3]=m;pL(G,87762,P)|0;fm(H,G)|0;i=1;k=c[c[(c[s>>2]|0)+8>>2]>>2]|0}if(c[k+(r*48|0)+12>>2]|0){if(!(c[42183]|0))m=+h[k+(r*48|0)+40>>3];else m=+h[20895]-+h[k+(r*48|0)+40>>3];h[R>>3]=+h[k+(r*48|0)+32>>3];h[R+8>>3]=m;pL(G,87775,R)|0;fm(H,G)|0;j=1}p=0;while(1){k=c[(c[s>>2]|0)+8>>2]|0;n=c[k>>2]|0;if((p|0)>=(c[n+(r*48|0)+4>>2]|0))break;if((p|0)>0){k=c[A>>2]|0;if(k>>>0>=(c[B>>2]|0)>>>0){dm(H,1)|0;k=c[A>>2]|0}c[A>>2]=k+1;a[k>>0]=32;k=c[c[(c[s>>2]|0)+8>>2]>>2]|0}else k=n;u=c[k+(r*48|0)>>2]|0;q=+h[u+(p<<4)+8>>3];q=(c[42183]|0)==0?q:+h[20895]-q;h[S>>3]=+h[u+(p<<4)>>3];h[S+8>>3]=q;pL(G,87729,S)|0;fm(H,G)|0;p=p+1|0}r=r+1|0}k=c[A>>2]|0;if(k>>>0>=(c[B>>2]|0)>>>0){dm(H,1)|0;k=c[A>>2]|0}a[k>>0]=0;k=c[H>>2]|0;c[A>>2]=k;Km(t,87657,k)|0;k=c[s>>2]|0;n=c[k+96>>2]|0;if(n){q=+h[n+64>>3];q=(c[42183]|0)==0?q:+h[20895]-q;h[T>>3]=+h[n+56>>3];h[T+8>>3]=q;pL(G,87729,T)|0;Km(t,87671,G)|0;k=c[s>>2]|0}n=c[k+108>>2]|0;do if(n){if(!(a[n+81>>0]|0))break;q=+h[n+64>>3];q=(c[42183]|0)==0?q:+h[20895]-q;h[U>>3]=+h[n+56>>3];h[U+8>>3]=q;pL(G,87729,U)|0;Km(t,87667,G)|0;k=c[s>>2]|0}while(0);n=c[k+100>>2]|0;if(n){q=+h[n+64>>3];q=(c[42183]|0)==0?q:+h[20895]-q;h[V>>3]=+h[n+56>>3];h[V+8>>3]=q;pL(G,87729,V)|0;Km(t,87674,G)|0;k=c[s>>2]|0}k=c[k+104>>2]|0;if(!k)break;q=+h[k+64>>3];q=(c[42183]|0)==0?q:+h[20895]-q;h[W>>3]=+h[k+56>>3];h[W+8>>3]=q;pL(G,87729,W)|0;Km(t,87682,G)|0}while(0);t=Rm(d,t)|0}}else j=u;while(0);u=j;y=eo(d,y)|0}ux(d,z,x,w,v);gm(H);if(b[(c[I>>2]|0)+136>>1]&1)nB(d);c[f>>2]=i;c[g>>2]=u;Fv(0);l=Y;return}function tx(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0.0,g=0.0,i=0.0,j=0,k=0,m=0,n=0,o=0.0;n=l;l=l+1056|0;k=n;j=n+32|0;m=b+48|0;if(!(c[m>>2]|0)){e=c[a+16>>2]|0;i=+h[e+16>>3];if(!(c[42183]|0)){g=+h[e+24>>3];f=g+ +h[b+24>>3];g=g+ +h[b+40>>3]}else{g=+h[e+24>>3];f=+h[20895]-+h[b+24>>3]-g;g=+h[20895]-+h[b+40>>3]-g}o=i+ +h[b+32>>3];h[k>>3]=i+ +h[b+16>>3];h[k+8>>3]=f;h[k+16>>3]=o;h[k+24>>3]=g;pL(j,87813,k)|0;fm(d,j)|0}b=b+56|0;e=0;while(1){if((e|0)>=(c[m>>2]|0))break;tx(a,c[(c[b>>2]|0)+(e<<2)>>2]|0,d);e=e+1|0}l=n;return}function ux(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0.0;s=l;l=l+1088|0;o=s+56|0;q=s+48|0;p=s+32|0;j=s;n=s+64|0;r=b+16|0;i=c[r>>2]|0;if(!(c[42183]|0)){k=+h[i+24>>3];m=+h[i+40>>3]}else{m=+h[20895];k=m-+h[i+24>>3];m=m-+h[i+40>>3]}t=+h[i+32>>3];h[j>>3]=+h[i+16>>3];h[j+8>>3]=k;h[j+16>>3]=t;h[j+24>>3]=m;pL(n,87788,j)|0;Cm(b,d,n)|0;i=c[(c[r>>2]|0)+12>>2]|0;if((i|0)!=0?(a[c[i>>2]>>0]|0)!=0:0){t=+h[i+64>>3];t=(c[42183]|0)==0?t:+h[20895]-t;h[p>>3]=+h[i+56>>3];h[p+8>>3]=t;pL(n,87729,p)|0;Cm(b,e,n)|0;i=c[(c[r>>2]|0)+12>>2]|0;t=+h[i+32>>3];h[q>>3]=+h[i+24>>3]*.013888888888888888;pL(n,87808,q)|0;Cm(b,f,n)|0;h[o>>3]=t*.013888888888888888;pL(n,87808,o)|0;Cm(b,g,n)|0;i=1}else i=1;while(1){j=c[r>>2]|0;if((i|0)>(c[j+180>>2]|0))break;ux(c[(c[j+184>>2]|0)+(i<<2)>>2]|0,d,e,f,g);i=i+1|0}l=s;return}function vx(a){a=a|0;var b=0;b=l;l=l+16|0;sx(a,b,b+4|0);l=b;return}function wx(){return Ql(19796,c[4345]|0)|0}function xx(a,b,c){a=a|0;b=b|0;c=c|0;_I(b);return}function yx(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;a=c[b>>2]|0;e=c[d>>2]|0;if((a|0)<=(e|0))if((a|0)<(e|0))a=-1;else{b=c[b+4>>2]|0;d=c[d+4>>2]|0;return ((b|0)>(d|0)?1:((b|0)<(d|0))<<31>>31)|0}else a=1;return a|0}function zx(a){a=a|0;Kl(a)|0;return}function Ax(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=c[b>>2];c[e+4>>2]=c[b+4>>2];b=Bx(e)|0;if((bb[c[a>>2]&31](a,b,1)|0)!=(b|0))_I(b);l=d;return}function Bx(a){a=a|0;var b=0,d=0,e=0;b=vw(16)|0;e=a;d=c[e+4>>2]|0;a=b+8|0;c[a>>2]=c[e>>2];c[a+4>>2]=d;return b|0}function Cx(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;e=l;l=l+16|0;f=e+8|0;g=e;c[g>>2]=b;c[g+4>>2]=d;c[f>>2]=c[g>>2];c[f+4>>2]=c[g+4>>2];b=Bx(f)|0;if((bb[c[a>>2]&31](a,b,1)|0)!=(b|0))_I(b);l=e;return}function Dx(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;d=l;l=l+16|0;e=d;g=b;f=c[g+4>>2]|0;b=e+8|0;c[b>>2]=c[g>>2];c[b+4>>2]=f;b=(bb[c[a>>2]&31](a,e,4)|0)!=0&1;l=d;return b|0}function Ex(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=l;l=l+16|0;f=e;c[f+8>>2]=b;c[f+12>>2]=d;d=(bb[c[a>>2]&31](a,f,4)|0)!=0&1;l=e;return d|0}function Fx(a){a=a|0;return Sl(a)|0}function Gx(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;d=vw((Sl(a)|0)<<3)|0;b=d;a=Ol(a)|0;while(1){if(!a)break;g=a+8|0;f=c[g+4>>2]|0;e=b;c[e>>2]=c[g>>2];c[e+4>>2]=f;b=b+8|0;a=c[a>>2]|0}return d|0}function Hx(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0.0,g=0.0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;t=l;l=l+160|0;q=t+144|0;d=t+48|0;j=t+128|0;k=t+112|0;m=t+96|0;n=t+80|0;o=t+32|0;p=t+16|0;r=t;s=a+16|0;a=c[s>>2]|0;e=+h[a+16>>3];f=+h[a+24>>3];g=+h[a+32>>3];i=+h[a+40>>3];if((b+-1|0)>>>0<2){Ix(j,e,i);c[q>>2]=c[j>>2];c[q+4>>2]=c[j+4>>2];c[q+8>>2]=c[j+8>>2];c[q+12>>2]=c[j+12>>2];Jx(d,q);p=d+16|0;Ix(k,g,f);c[q>>2]=c[k>>2];c[q+4>>2]=c[k+4>>2];c[q+8>>2]=c[k+8>>2];c[q+12>>2]=c[k+12>>2];Jx(m,q);c[p>>2]=c[m>>2];c[p+4>>2]=c[m+4>>2];c[p+8>>2]=c[m+8>>2];c[p+12>>2]=c[m+12>>2]}else{Ix(n,e,f);c[q>>2]=c[n>>2];c[q+4>>2]=c[n+4>>2];c[q+8>>2]=c[n+8>>2];c[q+12>>2]=c[n+12>>2];Jx(d,q);n=d+16|0;Ix(o,g,i);c[q>>2]=c[o>>2];c[q+4>>2]=c[o+4>>2];c[q+8>>2]=c[o+8>>2];c[q+12>>2]=c[o+12>>2];Jx(p,q);c[n>>2]=c[p>>2];c[n+4>>2]=c[p+4>>2];c[n+8>>2]=c[p+8>>2];c[n+12>>2]=c[p+12>>2]}a=(c[s>>2]|0)+16|0;c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];c[a+16>>2]=c[d+16>>2];c[a+20>>2]=c[d+20>>2];c[a+24>>2]=c[d+24>>2];c[a+28>>2]=c[d+28>>2];a=c[(c[s>>2]|0)+12>>2]|0;if(!a)a=1;else{a=a+56|0;c[q>>2]=c[a>>2];c[q+4>>2]=c[a+4>>2];c[q+8>>2]=c[a+8>>2];c[q+12>>2]=c[a+12>>2];Jx(r,q);c[a>>2]=c[r>>2];c[a+4>>2]=c[r+4>>2];c[a+8>>2]=c[r+8>>2];c[a+12>>2]=c[r+12>>2];a=1}while(1){d=c[s>>2]|0;if((a|0)>(c[d+180>>2]|0))break;Hx(c[(c[d+184>>2]|0)+(a<<2)>>2]|0,b);a=a+1|0}l=t;return}function Ix(a,b,c){a=a|0;b=+b;c=+c;h[a>>3]=b;h[a+8>>3]=c;return}function Jx(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;d=l;l=l+32|0;g=d+16|0;e=d;f=(c[42309]|0)*90|0;c[g>>2]=c[b>>2];c[g+4>>2]=c[b+4>>2];c[g+8>>2]=c[b+8>>2];c[g+12>>2]=c[b+12>>2];aw(e,g,f);c[b>>2]=c[e>>2];c[b+4>>2]=c[e+4>>2];c[b+8>>2]=c[e+8>>2];c[b+12>>2]=c[e+12>>2];h[b>>3]=+h[b>>3]-+h[20897];e=b+8|0;h[e>>3]=+h[e>>3]-+h[20898];c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];l=d;return}function Kx(b,d){b=b|0;d=d|0;var e=0,f=0.0,g=0,i=0,j=0.0,k=0.0,m=0,n=0.0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0;w=l;l=l+1168|0;s=w+144|0;v=w+96|0;u=w+64|0;t=w+48|0;o=w+32|0;p=w+16|0;q=w;c[t>>2]=0;c[t+4>>2]=0;c[t+8>>2]=0;c[t+12>>2]=0;r=b+16|0;m=c[(c[r>>2]|0)+116>>2]|0;c[42309]=m&3;m=m&1;a[174079]=m;if(!(m<<24>>24))Mx(b);else Lx(b);Nx(b);m=c[r>>2]|0;e=c[m+12>>2]|0;do if(e|0?(a[e+81>>0]|0)==0:0){g=e+24|0;c[t>>2]=c[g>>2];c[t+4>>2]=c[g+4>>2];c[t+8>>2]=c[g+8>>2];c[t+12>>2]=c[g+12>>2];n=+h[t>>3]+16.0;h[t>>3]=n;g=t+8|0;f=+h[g>>3]+8.0;h[g>>3]=f;g=(a[m+275>>0]&1)!=0;if(a[174079]|0){if(g){i=m+32|0;h[i>>3]=+h[i>>3]+f}else{i=m+16|0;h[i>>3]=+h[i>>3]-f}g=m+40|0;f=+h[g>>3];i=m+24|0;j=+h[i>>3];k=f-j;if(!(n>k))break;n=(n-k)*.5;h[i>>3]=j-n;h[g>>3]=f+n;break}i=(c[42309]|0)==0;do if(g)if(i){i=m+40|0;h[i>>3]=+h[i>>3]+f;break}else{i=m+24|0;h[i>>3]=+h[i>>3]-f;break}else if(i){i=m+24|0;h[i>>3]=+h[i>>3]-f;break}else{i=m+40|0;h[i>>3]=+h[i>>3]+f;break}while(0);g=m+32|0;f=+h[g>>3];i=m+16|0;j=+h[i>>3];k=f-j;if(n>k){n=(n-k)*.5;h[i>>3]=j-n;h[g>>3]=f+n}}while(0);if(d){switch(c[42309]|0){case 0:{q=m+16|0;c[41794]=c[q>>2];c[41795]=c[q+4>>2];c[41796]=c[q+8>>2];c[41797]=c[q+12>>2];break}case 1:{Ix(o,-+h[m+40>>3],+h[m+16>>3]);c[41794]=c[o>>2];c[41795]=c[o+4>>2];c[41796]=c[o+8>>2];c[41797]=c[o+12>>2];break}case 2:{Ix(p,+h[m+16>>3],-+h[m+40>>3]);c[41794]=c[p>>2];c[41795]=c[p+4>>2];c[41796]=c[p+8>>2];c[41797]=c[p+12>>2];break}case 3:{Ix(q,+h[m+24>>3],+h[m+16>>3]);c[41794]=c[q>>2];c[41795]=c[q+4>>2];c[41796]=c[q+8>>2];c[41797]=c[q+12>>2];break}default:{}}Ox(b);e=c[(c[r>>2]|0)+12>>2]|0}if(e|0?(a[e+81>>0]|0)==0:0){c[s>>2]=c[t>>2];c[s+4>>2]=c[t+4>>2];c[s+8>>2]=c[t+8>>2];c[s+12>>2]=c[t+12>>2];Px(b,s)}if(!0){l=w;return}if(!(a[174079]|0)){n=+h[20898];k=+h[20897];h[v>>3]=n;h[v+8>>3]=k;h[v+16>>3]=n;h[v+24>>3]=k;h[v+32>>3]=-k;h[v+40>>3]=-n;pL(s,88049,v)|0}else{k=+h[20897];n=+h[20898];h[u>>3]=k;h[u+8>>3]=n;h[u+16>>3]=k;h[u+24>>3]=n;pL(s,87834,u)|0}GL(s)|0;Ta()}function Lx(b){b=b|0;var d=0,e=0.0,f=0.0,g=0,i=0,j=0;j=b+16|0;if(((so(b)|0)!=(b|0)?(g=c[j>>2]|0,i=c[g+12>>2]|0,(i|0)!=0):0)?(a[i+81>>0]|0)==0:0){d=a[g+275>>0]|0;if(!(d&1)){f=+h[g+16>>3]+ +h[g+96>>3]*.5;b=g+104|0}else{f=+h[g+32>>3]-+h[g+64>>3]*.5;b=g+72|0}e=+h[b>>3];b=d<<24>>24;do if(!(b&4))if(!(b&2)){e=(+h[g+40>>3]+ +h[g+24>>3])*.5;break}else{e=+h[g+40>>3]-e*.5;break}else e=+h[g+24>>3]+e*.5;while(0);h[i+56>>3]=f;h[i+64>>3]=e;a[(c[(c[j>>2]|0)+12>>2]|0)+81>>0]=1;b=1}else b=1;while(1){d=c[j>>2]|0;if((b|0)>(c[d+180>>2]|0))break;Lx(c[(c[d+184>>2]|0)+(b<<2)>>2]|0);b=b+1|0}return}function Mx(b){b=b|0;var d=0,e=0.0,f=0.0,g=0.0,i=0,j=0,k=0;k=b+16|0;if(((so(b)|0)!=(b|0)?(i=c[k>>2]|0,j=c[i+12>>2]|0,(j|0)!=0):0)?(a[j+81>>0]|0)==0:0){d=a[i+275>>0]|0;if(!(d&1)){g=+h[i+24>>3]+ +h[i+56>>3]*.5;b=i+48|0}else{g=+h[i+40>>3]-+h[i+88>>3]*.5;b=i+80|0}f=+h[b>>3];b=d<<24>>24;do if(!(b&4)){e=+h[i+16>>3];if(!(b&2)){e=(+h[i+32>>3]+e)*.5;break}else{e=e+f*.5;break}}else e=+h[i+32>>3]-f*.5;while(0);h[j+56>>3]=e;h[j+64>>3]=g;a[(c[(c[k>>2]|0)+12>>2]|0)+81>>0]=1;b=1}else b=1;while(1){d=c[k>>2]|0;if((b|0)>(c[d+180>>2]|0))break;Mx(c[(c[d+184>>2]|0)+(b<<2)>>2]|0);b=b+1|0}return}function Nx(e){e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0;S=l;l=l+544|0;L=S+504|0;R=S+416|0;Q=S+376|0;K=S+352|0;J=S+312|0;I=S+288|0;H=S+248|0;M=S+200|0;B=S+152|0;O=S+96|0;p=S+488|0;C=S+456|0;D=S+424|0;E=S+384|0;F=S+360|0;G=S+320|0;w=S+296|0;x=S+256|0;y=S+232|0;z=S+168|0;A=S+136|0;f=S+56|0;N=S+16|0;P=S;o=e+16|0;u=c[o>>2]|0;g=b[u+136>>1]&14;u=d[u+113>>0]|0;if(!((u&54|0)==0?(u&1|0)==0|(c[42182]|0)!=0:0)){u=g<<16>>16==0;n=co(e)|0;h=0;j=0;i=0;while(1){if(!n)break;g=c[(c[n+16>>2]|0)+108>>2]|0;do if(g)if(!(a[g+81>>0]|0)){i=i+1|0;break}else{h=h+1|0;break}while(0);m=Pm(e,n)|0;g=j;while(1){if(!m)break;k=c[m+16>>2]|0;j=c[k+108>>2]|0;do if(j){if(a[j+81>>0]|0){h=h+1|0;break}if(!u)g=g+((c[k+8>>2]|0)!=0&1)|0}while(0);j=c[k+100>>2]|0;do if(j){if(a[j+81>>0]|0){h=h+1|0;break}if(!u)g=g+((c[k+8>>2]|0)!=0&1)|0}while(0);j=c[k+104>>2]|0;do if(j){if(a[j+81>>0]|0){h=h+1|0;break}if(!u)g=g+((c[k+8>>2]|0)!=0&1)|0}while(0);j=c[k+96>>2]|0;do if(j){if(a[j+81>>0]|0){h=h+1|0;break}if(!u)g=g+((c[k+8>>2]|0)!=0&1)|0}while(0);m=Rm(e,m)|0}n=eo(e,n)|0;j=g}if(!(a[(c[o>>2]|0)+113>>0]&8))o=0;else o=Rx(e)|0;t=j+i|0;if(t|0){q=h+j+o+(mn(e)|0)|0;r=vw(q*40|0)|0;s=vw(t*40|0)|0;Ix(M,2147483647.0,2147483647.0);g=M+16|0;Ix(p,-2147483647.0,-2147483647.0);c[g>>2]=c[p>>2];c[g+4>>2]=c[p+4>>2];c[g+8>>2]=c[p+8>>2];c[g+12>>2]=c[p+12>>2];g=s;i=r;n=co(e)|0;while(1){if(!n)break;c[L>>2]=c[M>>2];c[L+4>>2]=c[M+4>>2];c[L+8>>2]=c[M+8>>2];c[L+12>>2]=c[M+12>>2];c[L+16>>2]=c[M+16>>2];c[L+20>>2]=c[M+20>>2];c[L+24>>2]=c[M+24>>2];c[L+28>>2]=c[M+28>>2];Sx(C,n,i,L);c[M>>2]=c[C>>2];c[M+4>>2]=c[C+4>>2];c[M+8>>2]=c[C+8>>2];c[M+12>>2]=c[C+12>>2];c[M+16>>2]=c[C+16>>2];c[M+20>>2]=c[C+20>>2];c[M+24>>2]=c[C+24>>2];c[M+28>>2]=c[C+28>>2];h=c[(c[n+16>>2]|0)+108>>2]|0;do if(h)if(!(a[h+81>>0]|0)){c[L>>2]=c[B>>2];c[L+4>>2]=c[B+4>>2];c[L+8>>2]=c[B+8>>2];c[L+12>>2]=c[B+12>>2];Ux(h,i,g,0,L);g=g+40|0;break}else{i=i+40|0;c[L>>2]=c[M>>2];c[L+4>>2]=c[M+4>>2];c[L+8>>2]=c[M+8>>2];c[L+12>>2]=c[M+12>>2];c[L+16>>2]=c[M+16>>2];c[L+20>>2]=c[M+20>>2];c[L+24>>2]=c[M+24>>2];c[L+28>>2]=c[M+28>>2];Tx(D,h,i,L);c[M>>2]=c[D>>2];c[M+4>>2]=c[D+4>>2];c[M+8>>2]=c[D+8>>2];c[M+12>>2]=c[D+12>>2];c[M+16>>2]=c[D+16>>2];c[M+20>>2]=c[D+20>>2];c[M+24>>2]=c[D+24>>2];c[M+28>>2]=c[D+28>>2];break}while(0);m=Pm(e,n)|0;i=i+40|0;while(1){if(!m)break;k=m+16|0;h=c[k>>2]|0;j=c[h+96>>2]|0;a:do if(!j)v=52;else{do if(!(a[j+81>>0]|0)){if(!u?c[h+8>>2]|0:0){$z(F,e,m);c[L>>2]=c[F>>2];c[L+4>>2]=c[F+4>>2];c[L+8>>2]=c[F+8>>2];c[L+12>>2]=c[F+12>>2];Ux(j,i,g,1,L);g=g+40|0;break}c[H>>2]=c[j>>2];_l(0,88861,H)|0;break a}else{c[L>>2]=c[M>>2];c[L+4>>2]=c[M+4>>2];c[L+8>>2]=c[M+8>>2];c[L+12>>2]=c[M+12>>2];c[L+16>>2]=c[M+16>>2];c[L+20>>2]=c[M+20>>2];c[L+24>>2]=c[M+24>>2];c[L+28>>2]=c[M+28>>2];Tx(E,j,i,L);c[M>>2]=c[E>>2];c[M+4>>2]=c[E+4>>2];c[M+8>>2]=c[E+8>>2];c[M+12>>2]=c[E+12>>2];c[M+16>>2]=c[E+16>>2];c[M+20>>2]=c[E+20>>2];c[M+24>>2]=c[E+24>>2];c[M+28>>2]=c[E+28>>2]}while(0);i=i+40|0;h=c[k>>2]|0;v=52}while(0);b:do if((v|0)==52){v=0;j=c[h+104>>2]|0;if(j){do if(!(a[j+81>>0]|0)){if(!u?c[h+8>>2]|0:0){Vx(w,m);c[L>>2]=c[w>>2];c[L+4>>2]=c[w+4>>2];c[L+8>>2]=c[w+8>>2];c[L+12>>2]=c[w+12>>2];Ux(j,i,g,1,L);g=g+40|0;break}c[I>>2]=c[j>>2];_l(0,88896,I)|0;break b}else{c[L>>2]=c[M>>2];c[L+4>>2]=c[M+4>>2];c[L+8>>2]=c[M+8>>2];c[L+12>>2]=c[M+12>>2];c[L+16>>2]=c[M+16>>2];c[L+20>>2]=c[M+20>>2];c[L+24>>2]=c[M+24>>2];c[L+28>>2]=c[M+28>>2];Tx(G,j,i,L);c[M>>2]=c[G>>2];c[M+4>>2]=c[G+4>>2];c[M+8>>2]=c[G+8>>2];c[M+12>>2]=c[G+12>>2];c[M+16>>2]=c[G+16>>2];c[M+20>>2]=c[G+20>>2];c[M+24>>2]=c[G+24>>2];c[M+28>>2]=c[G+28>>2]}while(0);i=i+40|0;h=c[k>>2]|0}j=c[h+100>>2]|0;if(j){do if(!(a[j+81>>0]|0)){if(!u?c[h+8>>2]|0:0){Wx(y,m);c[L>>2]=c[y>>2];c[L+4>>2]=c[y+4>>2];c[L+8>>2]=c[y+8>>2];c[L+12>>2]=c[y+12>>2];Ux(j,i,g,1,L);g=g+40|0;break}c[J>>2]=c[j>>2];_l(0,88936,J)|0;break b}else{c[L>>2]=c[M>>2];c[L+4>>2]=c[M+4>>2];c[L+8>>2]=c[M+8>>2];c[L+12>>2]=c[M+12>>2];c[L+16>>2]=c[M+16>>2];c[L+20>>2]=c[M+20>>2];c[L+24>>2]=c[M+24>>2];c[L+28>>2]=c[M+28>>2];Tx(x,j,i,L);c[M>>2]=c[x>>2];c[M+4>>2]=c[x+4>>2];c[M+8>>2]=c[x+8>>2];c[M+12>>2]=c[x+12>>2];c[M+16>>2]=c[x+16>>2];c[M+20>>2]=c[x+20>>2];c[M+24>>2]=c[x+24>>2];c[M+28>>2]=c[x+28>>2]}while(0);i=i+40|0;h=c[k>>2]|0}j=c[h+108>>2]|0;if(j){do if(!(a[j+81>>0]|0)){if(!u?c[h+8>>2]|0:0){$z(A,e,m);c[L>>2]=c[A>>2];c[L+4>>2]=c[A+4>>2];c[L+8>>2]=c[A+8>>2];c[L+12>>2]=c[A+12>>2];Ux(j,i,g,1,L);g=g+40|0;break}c[K>>2]=c[j>>2];_l(0,88976,K)|0;break b}else{c[L>>2]=c[M>>2];c[L+4>>2]=c[M+4>>2];c[L+8>>2]=c[M+8>>2];c[L+12>>2]=c[M+12>>2];c[L+16>>2]=c[M+16>>2];c[L+20>>2]=c[M+20>>2];c[L+24>>2]=c[M+24>>2];c[L+28>>2]=c[M+28>>2];Tx(z,j,i,L);c[M>>2]=c[z>>2];c[M+4>>2]=c[z+4>>2];c[M+8>>2]=c[z+8>>2];c[M+12>>2]=c[z+12>>2];c[M+16>>2]=c[z+16>>2];c[M+20>>2]=c[z+20>>2];c[M+24>>2]=c[z+24>>2];c[M+28>>2]=c[z+28>>2]}while(0);i=i+40|0}}while(0);m=Rm(e,m)|0}n=eo(e,n)|0}if(o|0){c[f>>2]=c[M>>2];c[f+4>>2]=c[M+4>>2];c[f+8>>2]=c[M+8>>2];c[f+12>>2]=c[M+12>>2];c[f+16>>2]=c[M+16>>2];c[f+20>>2]=c[M+20>>2];c[f+24>>2]=c[M+24>>2];c[f+28>>2]=c[M+28>>2];c[f+32>>2]=i;h=L;g=h+40|0;do{c[h>>2]=c[f>>2];h=h+4|0;f=f+4|0}while((h|0)<(g|0));Xx(N,e,L);c[M>>2]=c[N>>2];c[M+4>>2]=c[N+4>>2];c[M+8>>2]=c[N+8>>2];c[M+12>>2]=c[N+12>>2];c[M+16>>2]=c[N+16>>2];c[M+20>>2]=c[N+20>>2];c[M+24>>2]=c[N+24>>2];c[M+28>>2]=c[N+28>>2]}a[O+32>>0]=HA(e,ym(e,0,89012,0)|0,1)|0;c[O>>2]=c[M>>2];c[O+4>>2]=c[M+4>>2];c[O+8>>2]=c[M+8>>2];c[O+12>>2]=c[M+12>>2];c[O+16>>2]=c[M+16>>2];c[O+20>>2]=c[M+20>>2];c[O+24>>2]=c[M+24>>2];c[O+28>>2]=c[M+28>>2];zE(r,q,s,t,O)|0;if(0)Yx(r,q,s,t,O);f=0;g=0;h=s;while(1){if((g|0)>=(t|0))break;if(a[h+36>>0]|0){O=c[h+32>>2]|0;a[O+81>>0]=1;N=O+56|0;Zx(P,h);c[N>>2]=c[P>>2];c[N+4>>2]=c[P+4>>2];c[N+8>>2]=c[P+8>>2];c[N+12>>2]=c[P+12>>2];bB(e,O);f=f+1|0}g=g+1|0;h=h+40|0}if(!0){if((f|0)!=(t|0)){c[R>>2]=f;c[R+4>>2]=t;_l(0,89057,R)|0}}else{R=c[13918]|0;c[Q>>2]=f;c[Q+4>>2]=t;zL(R,89024,Q)|0}_I(r);_I(s)}}l=S;return}function Ox(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0,j=0;i=l;l=l+48|0;e=i+32|0;f=i+16|0;g=i;if(+h[20897]!=0.0|+h[20898]!=0.0|(c[42309]|0)!=0){d=co(a)|0;while(1){if(!d)break;if(c[42309]|0)KB(d,0);b=d+16|0;j=(c[b>>2]|0)+16|0;c[e>>2]=c[j>>2];c[e+4>>2]=c[j+4>>2];c[e+8>>2]=c[j+8>>2];c[e+12>>2]=c[j+12>>2];Jx(f,e);c[j>>2]=c[f>>2];c[j+4>>2]=c[f+4>>2];c[j+8>>2]=c[f+8>>2];c[j+12>>2]=c[f+12>>2];b=c[(c[b>>2]|0)+108>>2]|0;if(b|0){j=b+56|0;c[e>>2]=c[j>>2];c[e+4>>2]=c[j+4>>2];c[e+8>>2]=c[j+8>>2];c[e+12>>2]=c[j+12>>2];Jx(g,e);c[j>>2]=c[g>>2];c[j+4>>2]=c[g+4>>2];c[j+8>>2]=c[g+8>>2];c[j+12>>2]=c[g+12>>2]}a:do if((c[42181]|0)==1){b=Pm(a,d)|0;while(1){if(!b)break a;Qx(b);b=Rm(a,b)|0}}while(0);d=eo(a,d)|0}Hx(a,c[(c[a+16>>2]|0)+116>>2]&3)}l=i;return}function Px(b,d){b=b|0;d=d|0;var e=0.0,f=0.0,g=0,i=0,j=0;i=b+16|0;j=c[i>>2]|0;g=a[j+275>>0]|0;b=g<<24>>24;do if(!(b&4)){e=+h[j+16>>3];if(!(b&2)){f=(+h[j+32>>3]+e)*.5;break}else{f=+h[d>>3]*.5+e;break}}else f=+h[j+32>>3]-+h[d>>3]*.5;while(0);if(!(g&1))e=+h[d+8>>3]*.5+ +h[j+24>>3];else e=+h[j+40>>3]-+h[d+8>>3]*.5;j=c[j+12>>2]|0;h[j+56>>3]=f;h[j+64>>3]=e;a[(c[(c[i>>2]|0)+12>>2]|0)+81>>0]=1;return}function Qx(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;s=l;l=l+144|0;q=s+120|0;e=s+16|0;i=s+104|0;j=s+88|0;k=s+72|0;m=s+56|0;n=s+40|0;o=s+24|0;r=s;p=b+16|0;d=c[p>>2]|0;f=c[d+8>>2]|0;if(!f){if((a[174076]|0)==0?(a[d+112>>0]|0)!=6:0){q=Dn(c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)|0;r=Dn(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0;c[e>>2]=q;c[e+4>>2]=r;_l(1,88844,e)|0}}else{h=0;b=f;while(1){if((h|0)>=(c[b+4>>2]|0))break;g=c[b>>2]|0;b=c[g+(h*48|0)>>2]|0;e=c[g+(h*48|0)+4>>2]|0;f=c[g+(h*48|0)+8>>2]|0;g=c[g+(h*48|0)+12>>2]|0;d=0;while(1){if((d|0)>=(e|0))break;t=b+(d<<4)|0;c[q>>2]=c[t>>2];c[q+4>>2]=c[t+4>>2];c[q+8>>2]=c[t+8>>2];c[q+12>>2]=c[t+12>>2];Jx(i,q);c[t>>2]=c[i>>2];c[t+4>>2]=c[i+4>>2];c[t+8>>2]=c[i+8>>2];c[t+12>>2]=c[i+12>>2];d=d+1|0}if(f|0){t=(c[c[(c[p>>2]|0)+8>>2]>>2]|0)+(h*48|0)+16|0;c[q>>2]=c[t>>2];c[q+4>>2]=c[t+4>>2];c[q+8>>2]=c[t+8>>2];c[q+12>>2]=c[t+12>>2];Jx(j,q);c[t>>2]=c[j>>2];c[t+4>>2]=c[j+4>>2];c[t+8>>2]=c[j+8>>2];c[t+12>>2]=c[j+12>>2]}if(g|0){t=(c[c[(c[p>>2]|0)+8>>2]>>2]|0)+(h*48|0)+32|0;c[q>>2]=c[t>>2];c[q+4>>2]=c[t+4>>2];c[q+8>>2]=c[t+8>>2];c[q+12>>2]=c[t+12>>2];Jx(k,q);c[t>>2]=c[k>>2];c[t+4>>2]=c[k+4>>2];c[t+8>>2]=c[k+8>>2];c[t+12>>2]=c[k+12>>2]}d=c[p>>2]|0;h=h+1|0;b=c[d+8>>2]|0}b=c[d+96>>2]|0;if(b){d=b+56|0;c[q>>2]=c[d>>2];c[q+4>>2]=c[d+4>>2];c[q+8>>2]=c[d+8>>2];c[q+12>>2]=c[d+12>>2];Jx(m,q);c[d>>2]=c[m>>2];c[d+4>>2]=c[m+4>>2];c[d+8>>2]=c[m+8>>2];c[d+12>>2]=c[m+12>>2];d=c[p>>2]|0}b=c[d+108>>2]|0;if(b){d=b+56|0;c[q>>2]=c[d>>2];c[q+4>>2]=c[d+4>>2];c[q+8>>2]=c[d+8>>2];c[q+12>>2]=c[d+12>>2];Jx(n,q);c[d>>2]=c[n>>2];c[d+4>>2]=c[n+4>>2];c[d+8>>2]=c[n+8>>2];c[d+12>>2]=c[n+12>>2];d=c[p>>2]|0}b=c[d+100>>2]|0;if(b){d=b+56|0;c[q>>2]=c[d>>2];c[q+4>>2]=c[d+4>>2];c[q+8>>2]=c[d+8>>2];c[q+12>>2]=c[d+12>>2];Jx(o,q);c[d>>2]=c[o>>2];c[d+4>>2]=c[o+4>>2];c[d+8>>2]=c[o+8>>2];c[d+12>>2]=c[o+12>>2];d=c[p>>2]|0}d=c[d+104>>2]|0;if(d|0){t=d+56|0;c[q>>2]=c[t>>2];c[q+4>>2]=c[t+4>>2];c[q+8>>2]=c[t+8>>2];c[q+12>>2]=c[t+12>>2];Jx(r,q);c[t>>2]=c[r>>2];c[t+4>>2]=c[r+4>>2];c[t+8>>2]=c[r+8>>2];c[t+12>>2]=c[r+12>>2]}}l=s;return}function Rx(b){b=b|0;var d=0,e=0,f=0;f=b+16|0;if((so(b)|0)!=(b|0)?(d=c[(c[f>>2]|0)+12>>2]|0,(d|0)!=0):0){e=1;b=(a[d+81>>0]|0)!=0&1}else{e=1;b=0}while(1){d=c[f>>2]|0;if((e|0)>(c[d+180>>2]|0))break;d=(Rx(c[(c[d+184>>2]|0)+(e<<2)>>2]|0)|0)+b|0;e=e+1|0;b=d}return b|0}function Sx(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0.0,k=0.0,m=0,n=0;g=l;l=l+32|0;i=g;n=(a[174079]|0)==0;d=d+16|0;m=c[d>>2]|0;k=+h[(n?m+32|0:m+40|0)>>3];h[e+16>>3]=k*72.0;j=+h[(n?m+40|0:m+32|0)>>3];h[e+24>>3]=j*72.0;d=(c[d>>2]|0)+16|0;c[e>>2]=c[d>>2];c[e+4>>2]=c[d+4>>2];c[e+8>>2]=c[d+8>>2];c[e+12>>2]=c[d+12>>2];h[e>>3]=+h[e>>3]-k*36.0;d=e+8|0;h[d>>3]=+h[d>>3]-j*36.0;c[i>>2]=c[f>>2];c[i+4>>2]=c[f+4>>2];c[i+8>>2]=c[f+8>>2];c[i+12>>2]=c[f+12>>2];c[i+16>>2]=c[f+16>>2];c[i+20>>2]=c[f+20>>2];c[i+24>>2]=c[f+24>>2];c[i+28>>2]=c[f+28>>2];_x(b,e,i);l=g;return}function Tx(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0.0,k=0.0,m=0,n=0;g=l;l=l+32|0;i=g;n=(a[174079]|0)==0;m=d+24|0;k=+h[(n?m:d+32|0)>>3];h[e+16>>3]=k;j=+h[(n?d+32|0:m)>>3];h[e+24>>3]=j;d=d+56|0;c[e>>2]=c[d>>2];c[e+4>>2]=c[d+4>>2];c[e+8>>2]=c[d+8>>2];c[e+12>>2]=c[d+12>>2];h[e>>3]=+h[e>>3]-k*.5;d=e+8|0;h[d>>3]=+h[d>>3]-j*.5;c[i>>2]=c[f>>2];c[i+4>>2]=c[f+4>>2];c[i+8>>2]=c[f+8>>2];c[i+12>>2]=c[f+12>>2];c[i+16>>2]=c[f+16>>2];c[i+20>>2]=c[f+20>>2];c[i+24>>2]=c[f+24>>2];c[i+28>>2]=c[f+28>>2];_x(b,e,i);l=g;return}function Ux(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;if(f|0){f=d+16|0;c[f>>2]=0;c[f+4>>2]=0;c[f+8>>2]=0;c[f+12>>2]=0;c[d>>2]=c[g>>2];c[d+4>>2]=c[g+4>>2];c[d+8>>2]=c[g+8>>2];c[d+12>>2]=c[g+12>>2]}if(!(a[174079]|0)){g=b+24|0;c[e>>2]=c[g>>2];c[e+4>>2]=c[g+4>>2];c[e+8>>2]=c[g+8>>2];c[e+12>>2]=c[g+12>>2]}else{h[e>>3]=+h[b+32>>3];h[e+8>>3]=+h[b+24>>3]}c[e+32>>2]=b;a[e+36>>0]=0;c[d+32>>2]=e;return}function Vx(a,b){a=a|0;b=b|0;b=_z(b)|0;do if(b){b=c[b>>2]|0;if(!(c[b+8>>2]|0)){b=c[b>>2]|0;c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];break}else{b=b+16|0;c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];break}}else{c[a>>2]=0;c[a+4>>2]=0;c[a+8>>2]=0;c[a+12>>2]=0}while(0);return}function Wx(a,b){a=a|0;b=b|0;var d=0;b=_z(b)|0;do if(b){d=c[b>>2]|0;b=(c[b+4>>2]|0)+-1|0;if(!(c[d+(b*48|0)+12>>2]|0)){d=(c[d+(b*48|0)>>2]|0)+((c[d+(b*48|0)+4>>2]|0)+-1<<4)|0;c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];break}else{d=d+(b*48|0)+32|0;c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];break}}else{c[a>>2]=0;c[a+4>>2]=0;c[a+8>>2]=0;c[a+12>>2]=0}while(0);return}function Xx(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;q=l;l=l+112|0;k=q+72|0;n=q+32|0;o=q;p=d+16|0;j=1;while(1){f=c[p>>2]|0;if((j|0)>(c[f+180>>2]|0))break;f=c[(c[f+184>>2]|0)+(j<<2)>>2]|0;g=k;h=e;i=g+40|0;do{c[g>>2]=c[h>>2];g=g+4|0;h=h+4|0}while((g|0)<(i|0));Xx(n,f,k);g=e;h=n;i=g+40|0;do{c[g>>2]=c[h>>2];g=g+4|0;h=h+4|0}while((g|0)<(i|0));j=j+1|0}if(((so(d)|0)!=(d|0)?(m=c[(c[p>>2]|0)+12>>2]|0,m|0):0)?a[m+81>>0]|0:0){p=e+32|0;n=c[p>>2]|0;c[k>>2]=c[e>>2];c[k+4>>2]=c[e+4>>2];c[k+8>>2]=c[e+8>>2];c[k+12>>2]=c[e+12>>2];c[k+16>>2]=c[e+16>>2];c[k+20>>2]=c[e+20>>2];c[k+24>>2]=c[e+24>>2];c[k+28>>2]=c[e+28>>2];Tx(o,m,n,k);c[e>>2]=c[o>>2];c[e+4>>2]=c[o+4>>2];c[e+8>>2]=c[o+8>>2];c[e+12>>2]=c[o+12>>2];c[e+16>>2]=c[o+16>>2];c[e+20>>2]=c[o+20>>2];c[e+24>>2]=c[o+24>>2];c[e+28>>2]=c[o+28>>2];c[p>>2]=(c[p>>2]|0)+40}g=b;h=e;i=g+40|0;do{c[g>>2]=c[h>>2];g=g+4|0;h=h+4|0}while((g|0)<(i|0));l=q;return}function Yx(a,b,e,f,g){a=a|0;b=b|0;e=e|0;f=f|0;g=g|0;var i=0.0,j=0.0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0;s=l;l=l+160|0;r=s+96|0;p=s+48|0;o=s;q=c[13918]|0;n=d[g+32>>0]|0;i=+h[g>>3];j=+h[g+8>>3];k=+h[g+16>>3];m=+h[g+24>>3];c[o>>2]=b;c[o+4>>2]=f;c[o+8>>2]=n;h[o+16>>3]=i;h[o+24>>3]=j;h[o+32>>3]=k;h[o+40>>3]=m;zL(q,89099,o)|0;a:do if(0>=2){XL(89159,8,1,q)|0;o=0;while(1){if((o|0)>=(b|0))break;g=c[a+32>>2]|0;i=+h[a>>3];j=+h[a+8>>3];k=+h[a+16>>3];m=+h[a+24>>3];if(!g)n=174181;else n=c[c[g+32>>2]>>2]|0;c[p>>2]=o;h[p+8>>3]=i;h[p+16>>3]=j;h[p+24>>3]=k;h[p+32>>3]=m;c[p+40>>2]=g;c[p+44>>2]=n;zL(q,89168,p)|0;o=o+1|0;a=a+40|0}XL(89211,8,1,q)|0;g=0;while(1){if((g|0)>=(f|0))break a;b=d[e+36>>0]|0;i=+h[e+16>>3];j=+h[e+24>>3];k=+h[e>>3];m=+h[e+8>>3];p=c[c[e+32>>2]>>2]|0;c[r>>2]=g;c[r+4>>2]=e;c[r+8>>2]=b;h[r+16>>3]=i;h[r+24>>3]=j;h[r+32>>3]=k;h[r+40>>3]=m;c[r+48>>2]=p;zL(q,89220,r)|0;e=e+40|0;g=g+1|0}}while(0);l=s;return}function Zx(a,b){a=a|0;b=b|0;var c=0.0;c=+h[b+8>>3]*.5+ +h[b+24>>3];h[a>>3]=+h[b>>3]*.5+ +h[b+16>>3];h[a+8>>3]=c;return}function _x(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0.0,j=0.0;e=l;l=l+16|0;f=e;j=+h[b>>3];h[d>>3]=+h[(+h[d>>3]<j?d:b)>>3];g=d+8|0;i=+h[b+8>>3];h[g>>3]=+h[(+h[g>>3]<i?d:b)+8>>3];j=+h[b+16>>3]+j;h[f>>3]=j;i=+h[b+24>>3]+i;h[f+8>>3]=i;g=d+16|0;h[g>>3]=+h[(+h[g>>3]>j?g:f)>>3];b=d+24|0;h[b>>3]=+h[(+h[b>>3]>i?g:f)+8>>3];c[a>>2]=c[d>>2];c[a+4>>2]=c[d+4>>2];c[a+8>>2]=c[d+8>>2];c[a+12>>2]=c[d+12>>2];c[a+16>>2]=c[d+16>>2];c[a+20>>2]=c[d+20>>2];c[a+24>>2]=c[d+24>>2];c[a+28>>2]=c[d+28>>2];l=e;return}function $x(a){a=a|0;Kx(a,1);return}function ay(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;e=l;l=l+16|0;d=e;b=RA(Im(a,90560)|0)|0;if(b){b=by(b)|0;if(b|0){f=c[b+40>>2]|0;d=c[b+44>>2]|0;g=a+16|0;a=c[g>>2]|0;h[a+32>>3]=+(f|0)*.013888888888888888;h[a+40>>3]=+(d|0)*.013888888888888888;a=vw(12)|0;c[(c[g>>2]|0)+12>>2]=a;c[a>>2]=c[b+12>>2];c[a+4>>2]=((f|0)/-2|0)-(c[b+32>>2]|0);c[a+8>>2]=((d|0)/-2|0)-(c[b+36>>2]|0)}}else{c[d>>2]=Dn(a)|0;_l(0,89268,d)|0}l=e;return}function by(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;p=l;l=l+1152|0;i=p+24|0;h=p+8|0;e=p;f=p+120|0;j=p+44|0;k=p+40|0;m=p+36|0;n=p+32|0;o=p+28|0;d=c[42310]|0;if(!d){d=Ql(19832,c[4345]|0)|0;c[42310]=d}d=bb[c[d>>2]&31](d,b,512)|0;do if(!d){g=aM(b,123632)|0;if(!g){c[e>>2]=b;_l(0,89317,e)|0;d=0;break}else{d=0;e=0}while(1){if(!(gL(f,1024,g)|0)){f=11;break}c[h>>2]=k;c[h+4>>2]=m;c[h+8>>2]=n;c[h+12>>2]=o;q=(cM(f,89345,h)|0)==4;e=q?1:e;if((a[f>>0]|0)!=37){q=(hL(f,89374)|0)==0;d=q?d:1}if((e|0)!=0&(d|0)!=0){f=12;break}}if((f|0)==11)if(!e){c[i>>2]=b;_l(0,89379,i)|0;d=0}else f=12;if((f|0)==12){q=ww(64)|0;k=c[k>>2]|0;c[q+32>>2]=k;m=c[m>>2]|0;c[q+40>>2]=(c[n>>2]|0)-k;c[q+36>>2]=(c[o>>2]|0)-m;c[q+8>>2]=b;o=c[42311]|0;c[42311]=o+1;c[q+12>>2]=o;_L(zN(g)|0,j)|0;o=c[j+36>>2]|0;n=ww(o+1|0)|0;c[q+52>>2]=n;oM(g,0,0)|0;wN(n,o,1,g)|0;a[n+o>>0]=0;o=c[42310]|0;bb[c[o>>2]&31](o,q,1)|0;a[q+16>>0]=d;d=q}LL(g)|0}while(0);l=p;return d|0}function cy(a,b,d){a=a|0;b=b|0;d=d|0;_I(c[b+52>>2]|0);return}function dy(a){a=a|0;_I(c[(c[a+16>>2]|0)+12>>2]|0);return}function ey(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+16|0;m=n+8|0;k=n;j=(d|0)!=0;a:do if(j){h=0;f=0;b:while(1)while(1){if(h)break a;g=c[d+(f<<2)>>2]|0;if(!g){i=6;break a}f=f+1|0;if(!(a[g>>0]|0)){h=1;continue b}}}else i=6;while(0);c:do if((i|0)==6)while(1){f=c[e>>2]|0;if(!f)break c;mr(b,f)|0;mr(b,134901)|0;e=e+4|0;i=6}while(0);d:do if(j){h=0;while(1){f=c[d+(h<<2)>>2]|0;if(!f)break d;do if(a[f>>0]|0){e=RA(f)|0;if(!e){c[k>>2]=f;_l(0,89418,k)|0;break}g=aM(e,123632)|0;if(!g){c[m>>2]=e;_l(0,89446,m)|0;break}while(1){f=QA(g)|0;if(!f)break;mr(b,f)|0}mr(b,134901)|0;LL(g)|0}while(0);h=h+1|0}}while(0);l=n;return}function fy(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;d=c[d+52>>2]|0;a:while(1){e=a[d>>0]|0;b:do switch(e<<24>>24){case 0:break a;case 37:{if((a[d+1>>0]|0)==37){e=d+2|0;if((((pK(e,89474,3)|0)!=0?(pK(e,89478,5)|0)!=0:0)?(pK(e,89484,3)|0)!=0:0)?(pK(e,89488,7)|0)!=0:0){e=37;break b}else g=37;c:while(1){switch(g<<24>>24){case 13:{f=10;break c}case 10:case 0:{f=12;break c}default:{}}g=d+1|0;d=g;g=a[g>>0]|0}if((f|0)==10){e=d+1|0;if((a[e>>0]|0)==10){d=d+2|0;continue a}}else if((f|0)==12)e=d+1|0;d=g<<24>>24==0?d:e;continue a}else e=37;break}default:{}}while(0);d:while(1){switch(e<<24>>24){case 10:case 13:case 0:break d;default:{}}nr(b,e<<24>>24)|0;g=d+1|0;d=g;e=a[g>>0]|0}f=d+1|0;if(e<<24>>24==13?(a[f>>0]|0)==10:0)d=d+2|0;else d=e<<24>>24==0?d:f;nr(b,10)|0}return}function gy(b){b=b|0;var d=0,e=0,f=0,g=0;f=l;l=l+16|0;e=f;d=c[42310]|0;a:do if(d|0){d=bb[c[d>>2]&31](d,0,128)|0;while(1){if(!d)break a;if(!(a[d+16>>0]|0)){c[e>>2]=c[d+12>>2];sr(b,89496,e);mr(b,89514)|0;fy(b,d);mr(b,89532)|0;mr(b,89547)|0}g=c[42310]|0;d=bb[c[g>>2]&31](g,d,8)|0}}while(0);l=f;return}function hy(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0;g=l;l=l+16|0;e=g;a:do switch(d|0){case 0:{f=b;break}case 1:{f=zB(b)|0;break}default:{switch(iy(b)|0){case 2:break;case 1:{f=zB(b)|0;break a}default:{f=b;break a}}if(!(c[42312]|0)){_l(0,89559,e)|0;c[42312]=1;f=b}else f=b}}while(0);if(!(c[42313]|0))cm(169252,0,0);d=c[42314]|0;if(d>>>0>=(c[42315]|0)>>>0){dm(169252,1)|0;d=c[42314]|0}c[42314]=d+1;a[d>>0]=40;e=f;b:while(1){switch(a[e>>0]|0){case 0:break b;case 92:case 41:case 40:{d=c[42314]|0;if(d>>>0>=(c[42315]|0)>>>0){dm(169252,1)|0;d=c[42314]|0}c[42314]=d+1;a[d>>0]=92;break}default:{}}d=c[42314]|0;if(d>>>0>=(c[42315]|0)>>>0){dm(169252,1)|0;d=c[42314]|0}h=a[e>>0]|0;c[42314]=d+1;a[d>>0]=h;e=e+1|0}d=c[42314]|0;if(d>>>0>=(c[42315]|0)>>>0){dm(169252,1)|0;d=c[42314]|0}c[42314]=d+1;a[d>>0]=41;if((f|0)!=(b|0))_I(f);d=c[42314]|0;if(d>>>0>=(c[42315]|0)>>>0){dm(169252,1)|0;d=c[42314]|0}a[d>>0]=0;h=c[42313]|0;c[42314]=h;l=g;return h|0}function iy(b){b=b|0;var c=0,d=0;c=0;a:while(1){while(1){d=a[b>>0]|0;if(!(d<<24>>24))break a;if((d&255)<127)b=b+1|0;else break}if((d&-4)<<24>>24==-64){c=1;b=b+2|0}else{c=2;break}}return c|0}function jy(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;n=l;l=l+96|0;i=n+80|0;j=n+72|0;m=n+64|0;g=n+32|0;k=n;h[g>>3]=+h[a>>3];h[g+8>>3]=+h[a+8>>3];h[g+16>>3]=+h[b>>3];h[g+24>>3]=+h[b+8>>3];do if((DI(d,g,j)|0)>=0){if(!f){b=d+4|0;a=c[b>>2]|0;f=c[42318]|0;if((a|0)>(c[42317]|0)){if(!f)a=ww(a<<5)|0;else a=yw(f,a<<5)|0;c[42318]=a;g=c[b>>2]|0;c[42317]=g;f=a}else g=a;b=c[d>>2]|0;a=0;while(1){if((a|0)>=(g|0))break;o=f+(a<<5)|0;d=b+(a<<4)|0;c[o>>2]=c[d>>2];c[o+4>>2]=c[d+4>>2];c[o+8>>2]=c[d+8>>2];c[o+12>>2]=c[d+12>>2];o=f+(a<<5)+16|0;d=a+1|0;p=b+(((d|0)%(g|0)|0)<<4)|0;c[o>>2]=c[p>>2];c[o+4>>2]=c[p+4>>2];c[o+8>>2]=c[p+8>>2];c[o+12>>2]=c[p+12>>2];a=d}c[k>>2]=0;c[k+4>>2]=0;c[k+8>>2]=0;c[k+12>>2]=0;c[k+16>>2]=0;c[k+20>>2]=0;c[k+24>>2]=0;c[k+28>>2]=0;c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];if((hI(f,g,i,k,m)|0)<0){a=0;break}}else{c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];YI(i,m)}a=m+4|0;if(!(ky(c[a>>2]|0)|0)){g=c[a>>2]|0;a=c[42319]|0;f=c[m>>2]|0;b=0;while(1){if((b|0)>=(g|0))break;p=a+(b<<4)|0;o=f+(b<<4)|0;c[p>>2]=c[o>>2];c[p+4>>2]=c[o+4>>2];c[p+8>>2]=c[o+8>>2];c[p+12>>2]=c[o+12>>2];b=b+1|0}c[e>>2]=g}else a=0}else a=0;while(0);l=n;return a|0}function ky(a){a=a|0;var b=0,d=0,e=0;e=l;l=l+16|0;d=e;b=c[42320]|0;do if((b|0)<(a|0)){a=a+300-((a|0)%300|0)+b|0;b=yw(c[42319]|0,a<<4)|0;c[42319]=b;if(!b){_l(1,89649,d)|0;a=1;break}else{c[42320]=a;a=0;break}}else a=0;while(0);l=e;return a|0}function ly(){var a=0,b=0,d=0;b=l;l=l+16|0;a=b;d=c[42321]|0;c[42321]=d+1;do if((d|0)<=0){d=ww(4800)|0;c[42319]=d;if(!d){_l(1,89672,a)|0;a=1;break}c[42320]=300;c[42322]=0;c[42323]=0;if(0){xA();a=0}else a=0}else a=0;while(0);l=b;return a|0}function my(){var a=0,b=0,d=0,e=0.0,f=0,g=0;b=l;l=l+16|0;a=b;d=c[42321]|0;c[42321]=d+-1;if((d|0)<=1?(_I(c[42319]|0),0):0){d=c[13918]|0;g=c[42322]|0;f=c[42323]|0;e=+yA();c[a>>2]=g;c[a+4>>2]=f;h[a+8>>3]=e;zL(d,89710,a)|0}l=b;return}function ny(a,b){a=a|0;b=b|0;return oy(a,b,0)|0}function oy(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0;L=l;l=l+176|0;G=L+168|0;K=L+128|0;x=L+120|0;v=L+112|0;i=L+104|0;s=L+88|0;n=L+72|0;g=L+64|0;t=L+160|0;I=L+152|0;y=L+144|0;u=L+32|0;w=L;J=L+136|0;c[42322]=(c[42322]|0)+1;H=c[b+80>>2]|0;c[42323]=(c[42323]|0)+H;f=b+88|0;while(1){C=c[f>>2]|0;if(!C){D=4;break}f=c[C+16>>2]|0;if(!(a[f+112>>0]|0)){D=5;break}else f=f+116|0}do if((D|0)==4){_l(1,89753,g)|0;f=0}else if((D|0)==5){B=c[b+84>>2]|0;if(!(py(H,B,b)|0)){g=H<<3;if((g|0)>(c[42324]|0)){f=c[42325]|0;if(!f)f=ww(H<<7)|0;else f=yw(f,H<<7)|0;c[42325]=f;c[42324]=g}a:do if((H|0)>1?+h[B+8>>3]>+h[B+40>>3]:0){f=0;while(1){if((f|0)==(H|0)){p=1;break a}z=B+(f<<5)+24|0;m=+h[z>>3];A=B+(f<<5)+8|0;h[z>>3]=-+h[A>>3];h[A>>3]=-m;f=f+1|0}}else p=0;while(0);r=c[C>>2]&3;z=C+48|0;f=c[((r|0)==3?C:z)+40>>2]|0;A=C+-48|0;if((f|0)==(c[((r|0)==2?C:A)+40>>2]|0)){c[i>>2]=Dn(f)|0;_l(1,89860,i)|0;f=0;break}o=H+-1|0;q=c[42325]|0;r=q;f=0;j=0;b:while(1){if((j|0)>=(H|0)){j=o;n=f;break}if((j|0)>0)g=+h[B+(j<<5)+8>>3]>+h[B+(j+-1<<5)+8>>3]?-1:1;else g=0;if((j|0)<(o|0))i=+h[B+(j+1<<5)+8>>3]>+h[B+(j<<5)+8>>3]?1:-1;else i=0;c:do if((g|0)!=(i|0))if((g|0)==1|(i|0)==-1){g=B+(j<<5)|0;h[q+(f<<4)>>3]=+h[g>>3];i=f+1|0;h[q+(f<<4)+8>>3]=+h[B+(j<<5)+24>>3];h[q+(i<<4)>>3]=+h[g>>3];g=B+(j<<5)+8|0;D=29;break}else{g=B+(j<<5)+16|0;h[q+(f<<4)>>3]=+h[g>>3];i=f+1|0;h[q+(f<<4)+8>>3]=+h[B+(j<<5)+8>>3];h[q+(i<<4)>>3]=+h[g>>3];g=B+(j<<5)+24|0;D=29;break}else{switch(g|0){case -1:break c;case 0:break;default:{D=28;break b}}g=B+(j<<5)|0;h[q+(f<<4)>>3]=+h[g>>3];i=f+1|0;h[q+(f<<4)+8>>3]=+h[B+(j<<5)+24>>3];h[q+(i<<4)>>3]=+h[g>>3];g=B+(j<<5)+8|0;D=29}while(0);if((D|0)==29){D=0;h[q+(i<<4)+8>>3]=+h[g>>3];f=f+2|0}j=j+1|0}if((D|0)==28){c[n>>2]=g;c[n+4>>2]=g;c[n+8>>2]=480;_l(1,89795,n)|0;f=0;break}d:while(1){if((j|0)<=-1)break;if((j|0)<(o|0))f=+h[B+(j<<5)+8>>3]>+h[B+(j+1<<5)+8>>3]?-1:1;else f=0;if((j|0)>0)g=+h[B+(j+-1<<5)+8>>3]>+h[B+(j<<5)+8>>3]?1:-1;else g=0;e:do if((f|0)!=(g|0))if((f|0)==1|(g|0)==-1){f=B+(j<<5)|0;h[q+(n<<4)>>3]=+h[f>>3];g=n+1|0;h[q+(n<<4)+8>>3]=+h[B+(j<<5)+24>>3];h[q+(g<<4)>>3]=+h[f>>3];f=B+(j<<5)+8|0;i=2;break}else{f=B+(j<<5)+16|0;h[q+(n<<4)>>3]=+h[f>>3];g=n+1|0;h[q+(n<<4)+8>>3]=+h[B+(j<<5)+8>>3];h[q+(g<<4)>>3]=+h[f>>3];f=B+(j<<5)+24|0;i=2;break}else switch(f|0){case 0:{f=B+(j<<5)+16|0;h[q+(n<<4)>>3]=+h[f>>3];g=n+1|0;h[q+(n<<4)+8>>3]=+h[B+(j<<5)+8>>3];h[q+(g<<4)>>3]=+h[f>>3];f=B+(j<<5)+24|0;i=2;break e}case -1:{N=B+(j<<5)+16|0;h[q+(n<<4)>>3]=+h[N>>3];f=B+(j<<5)+8|0;i=n+1|0;h[q+(n<<4)+8>>3]=+h[f>>3];h[q+(i<<4)>>3]=+h[N>>3];N=B+(j<<5)+24|0;M=n+2|0;h[q+(i<<4)+8>>3]=+h[N>>3];i=B+(j<<5)|0;h[q+(M<<4)>>3]=+h[i>>3];g=n+3|0;h[q+(M<<4)+8>>3]=+h[N>>3];h[q+(g<<4)>>3]=+h[i>>3];i=4;break e}default:{D=42;break d}}while(0);h[q+(g<<4)+8>>3]=+h[f>>3];j=j+-1|0;n=n+i|0}if((D|0)==42){c[s>>2]=f;c[s+4>>2]=f;c[s+8>>2]=513;_l(1,89795,s)|0;f=0;break}f:do if(!p)f=0;else{f=0;while(1){if((f|0)>=(H|0)){f=0;break}M=B+(f<<5)+24|0;m=+h[M>>3];N=B+(f<<5)+8|0;h[M>>3]=-+h[N>>3];h[N>>3]=-m;f=f+1|0}while(1){if((f|0)>=(n|0)){f=0;break f}N=q+(f<<4)+8|0;h[N>>3]=-+h[N>>3];f=f+1|0}}while(0);while(1){if((f|0)>=(H|0))break;h[B+(f<<5)>>3]=2147483647.0;h[B+(f<<5)+16>>3]=-2147483648.0;f=f+1|0}c[t>>2]=r;i=t+4|0;c[i>>2]=n;h[u>>3]=+h[b>>3];h[u+8>>3]=+h[b+8>>3];h[u+16>>3]=+h[b+40>>3];h[u+24>>3]=+h[b+48>>3];if((DI(t,u,I)|0)<0){_l(1,89899,v)|0;f=0;break}if(!e){g=c[i>>2]|0;f=c[42318]|0;if((g|0)>(c[42317]|0)){if(!f)f=ww(g<<5)|0;else f=yw(f,g<<5)|0;c[42318]=f;g=c[i>>2]|0;c[42317]=g}j=c[42325]|0;i=0;while(1){if((i|0)>=(g|0))break;M=f+(i<<5)|0;N=j+(i<<4)|0;c[M>>2]=c[N>>2];c[M+4>>2]=c[N+4>>2];c[M+8>>2]=c[N+8>>2];c[M+12>>2]=c[N+12>>2];M=f+(i<<5)+16|0;N=i+1|0;v=j+(((N|0)%(g|0)|0)<<4)|0;c[M>>2]=c[v>>2];c[M+4>>2]=c[v+4>>2];c[M+8>>2]=c[v+8>>2];c[M+12>>2]=c[v+12>>2];i=N}if(!(a[b+29>>0]|0)){k=0.0;m=0.0}else{m=+h[b+16>>3];k=+E(+m);m=+F(+m)}h[w+8>>3]=m;h[w>>3]=k;if(!(a[b+69>>0]|0)){k=0.0;m=0.0}else{m=+h[b+56>>3];k=-+E(+m);m=-+F(+m)}h[w+24>>3]=m;h[w+16>>3]=k;c[G>>2]=c[I>>2];c[G+4>>2]=c[I+4>>2];if((hI(f,g,G,w,y)|0)<0){_l(1,89938,x)|0;f=0;break}}else{c[G>>2]=c[I>>2];c[G+4>>2]=c[I+4>>2];YI(G,y)}n=y+4|0;if(!(ky(c[n>>2]|0)|0)){f=0;while(1){if((f|0)>=(H|0))break;h[B+(f<<5)>>3]=2147483647.0;h[B+(f<<5)+16>>3]=-2147483648.0;f=f+1|0}i=c[n>>2]|0;j=c[42319]|0;g=c[y>>2]|0;f=0;while(1){if((f|0)>=(i|0)){i=1;f=10;g=0;break}N=j+(f<<4)|0;M=g+(f<<4)|0;c[N>>2]=c[M>>2];c[N+4>>2]=c[M+4>>2];c[N+8>>2]=c[M+8>>2];c[N+12>>2]=c[M+12>>2];f=f+1|0}while(1){if(!((g|0)<15&i<<24>>24!=0))break;qy(B,H,c[42319]|0,c[n>>2]|0,f);j=0;while(1){if((j|0)>=(H|0))break;if(+h[B+(j<<5)>>3]==2147483647.0){D=82;break}if(+h[B+(j<<5)+16>>3]==-2147483648.0){D=82;break}j=j+1|0}if((D|0)==82){D=0;N=f<<1;f=N;g=(N|0)>(2147483647/(H|0)|0|0)?15:g}i=(j|0)==(H|0)?0:i;g=g+1|0}if(i<<24>>24){M=Dn(c[((c[C>>2]&3|0)==3?C:z)+40>>2]|0)|0;N=Dn(c[((c[C>>2]&3|0)==2?C:A)+40>>2]|0)|0;c[K>>2]=M;c[K+4>>2]=N;_l(0,89976,K)|0;c[G>>2]=c[I>>2];c[G+4>>2]=c[I+4>>2];YI(G,J);qy(B,H,c[J>>2]|0,c[J+4>>2]|0,10);_I(c[J>>2]|0)}c[d>>2]=c[n>>2];f=c[42319]|0}else f=0}else f=0}while(0);l=L;return f|0}function py(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0.0,g=0.0,i=0,j=0,k=0,m=0.0,n=0.0,o=0,p=0.0,q=0.0,r=0.0,s=0.0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0.0,L=0,M=0,N=0,O=0.0,P=0,Q=0,R=0;R=l;l=l+32|0;I=R+16|0;H=R+8|0;k=R;e=0;j=0;while(1){if((j|0)>=(a|0))break;i=b+(j<<5)|0;s=+h[b+(j<<5)+8>>3]-+h[b+(j<<5)+24>>3];if(!((s>=0.0?s:-s)<.01)?(s=+h[i>>3]-+h[b+(j<<5)+16>>3],!((s>=0.0?s:-s)<.01)):0){if((e|0)!=(j|0)){P=b+(e<<5)|0;c[P>>2]=c[i>>2];c[P+4>>2]=c[i+4>>2];c[P+8>>2]=c[i+8>>2];c[P+12>>2]=c[i+12>>2];c[P+16>>2]=c[i+16>>2];c[P+20>>2]=c[i+20>>2];c[P+24>>2]=c[i+24>>2];c[P+28>>2]=c[i+28>>2]}e=e+1|0}j=j+1|0}J=b+16|0;do if(!(+h[b>>3]>+h[J>>3])?(L=b+8|0,N=b+24|0,!(+h[L>>3]>+h[N>>3])):0){P=e+-1|0;M=c[13918]|0;w=0;while(1){if((w|0)>=(P|0))break;D=w+1|0;E=b+(D<<5)|0;f=+h[E>>3];F=b+(D<<5)+16|0;g=+h[F>>3];if(f>g){Q=16;break}A=b+(D<<5)+8|0;m=+h[A>>3];B=b+(D<<5)+24|0;n=+h[B>>3];if(m>n){Q=16;break}G=b+(w<<5)+16|0;v=+h[G>>3]<f;e=v&1;C=b+(w<<5)|0;u=+h[C>>3]>g;a=u&1;z=b+(w<<5)+24|0;t=+h[z>>3]<m;j=t&1;y=b+(w<<5)+8|0;k=+h[y>>3]>n;i=k&1;x=a+e+j+i|0;o=(x|0)!=0;if(!(0==0|o^1)){c[I>>2]=w;c[I+4>>2]=D;zL(M,90176,I)|0;ry(d)}a:do if(o){if(!v)if(!u)if(!t){if(k){k=0;o=e;e=B;i=y;Q=24}}else{k=i;j=0;o=e;e=A;i=z;Q=24}else{k=i;a=0;o=e;e=F;i=C;Q=24}else{k=i;o=0;e=E;i=G;Q=24}if((Q|0)==24){Q=0;w=~~+h[i>>3];h[i>>3]=+h[e>>3];h[e>>3]=+(w|0);i=k;e=o}o=x+-1|0;k=0;while(1){if((k|0)>=(o|0))break a;do if((e|0)!=1){if((a|0)==1){s=+(~~((+h[F>>3]+ +h[C>>3])*.5+.5)|0);h[F>>3]=s;h[C>>3]=s;a=0;break}if((j|0)==1){s=+(~~((+h[A>>3]+ +h[z>>3])*.5+.5)|0);h[A>>3]=s;h[z>>3]=s;j=0;break}if((i|0)==1){s=+(~~((+h[B>>3]+ +h[y>>3])*.5+.5)|0);h[B>>3]=s;h[y>>3]=s;i=0}}else{s=+(~~((+h[E>>3]+ +h[G>>3])*.5+.5)|0);h[E>>3]=s;h[G>>3]=s;e=0}while(0);k=k+1|0}}while(0);p=+h[C>>3];q=+h[G>>3];r=+h[E>>3];s=+h[F>>3];i=sy(~~p,~~q,~~r,~~s)|0;n=+h[y>>3];m=+h[z>>3];g=+h[A>>3];f=+h[B>>3];e=sy(~~n,~~m,~~g,~~f)|0;if(!((i|0)!=0&(e|0)!=0)){w=D;continue}if((i|0)<(e|0)){B=q-p>s-r;w=q<s;h[(B?(w?G:C):w?E:F)>>3]=B?(w?r:s):w?q:p;w=D;continue}else{B=m-n>f-g;w=m<f;h[(B?(w?G:C):w?E:F)+8>>3]=B?(w?g:f):w?m:n;w=D;continue}}if((Q|0)==16){c[H>>2]=D;_l(1,90130,H)|0;ry(d);e=1;break}f=+h[d>>3];g=+h[b>>3];if(!(((!(f<g)?!(f>+h[J>>3]):0)?(K=+h[d+8>>3],!(K<+h[L>>3])):0)?!(K>+h[N>>3]):0)){if(0){XL(90219,42,1,M)|0;ry(d);g=+h[b>>3];f=+h[d>>3]}if(f<g)h[d>>3]=g;else g=f;f=+h[J>>3];if(g>f)h[d>>3]=f;e=d+8|0;g=+h[e>>3];f=+h[L>>3];if(g<f){h[e>>3]=f;g=f}f=+h[N>>3];if(g>f)h[e>>3]=f}i=d+40|0;f=+h[i>>3];e=b+(P<<5)|0;g=+h[e>>3];if(((!(f<g)?!(f>+h[b+(P<<5)+16>>3]):0)?(O=+h[d+48>>3],!(O<+h[b+(P<<5)+8>>3])):0)?!(O>+h[b+(P<<5)+24>>3]):0){e=0;break}if(0){XL(90262,39,1,M)|0;ry(d);g=+h[e>>3];f=+h[i>>3]}if(f<g){h[i>>3]=g;f=g}g=+h[b+(P<<5)+16>>3];if(f>g)h[i>>3]=g;e=d+48|0;f=+h[e>>3];g=+h[b+(P<<5)+8>>3];if(f<g)h[e>>3]=g;else g=f;f=+h[b+(P<<5)+24>>3];if(g>f){h[e>>3]=f;e=0}else e=0}else Q=12;while(0);if((Q|0)==12){_l(1,90085,k)|0;ry(d);e=1}l=R;return e|0}function qy(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,l=0,m=0.0,n=0.0,o=0,p=0,q=0,r=0,s=0,t=0.0,u=0,v=0.0,w=0.0,x=0.0,y=0.0,z=0.0;s=O(e,b)|0;t=1.0/+(s|0);e=0;a:while(1){u=e+3|0;if((u|0)>=(d|0))break;o=c+(e<<4)|0;p=c+(e<<4)+8|0;r=e+1|0;q=c+(r<<4)|0;r=c+(r<<4)+8|0;j=e+2|0;i=c+(j<<4)|0;j=c+(j<<4)+8|0;k=c+(u<<4)|0;l=c+(u<<4)+8|0;g=0;while(1){if((g|0)>(s|0)){e=u;continue a}v=t*+(g|0);m=+h[o>>3];n=+h[p>>3];y=+h[q>>3];w=+h[r>>3];z=+h[i>>3];x=+h[j>>3];m=(y-m)*v+m;n=(w-n)*v+n;y=(z-y)*v+y;w=(x-w)*v+w;m=(y-m)*v+m;n=(w-n)*v+n;m=((z-y+(+h[k>>3]-z)*v)*v+y-m)*v+m;n=((x-w+(+h[l>>3]-x)*v)*v+w-n)*v+n;f=0;while(1){if((f|0)>=(b|0))break;if(n<=+h[a+(f<<5)+24>>3]+.0001?n>=+h[a+(f<<5)+8>>3]+-.0001:0){e=a+(f<<5)|0;if(+h[e>>3]>m)h[e>>3]=m;e=a+(f<<5)+16|0;if(+h[e>>3]<m)h[e>>3]=m}f=f+1|0}g=g+1|0}}return}function ry(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0.0,o=0.0,p=0.0,q=0.0,r=0;m=l;l=l+112|0;j=m+80|0;k=m+48|0;i=m+8|0;g=m;e=c[13918]|0;f=b+80|0;c[g>>2]=c[f>>2];zL(e,90302,g)|0;g=b+84|0;d=0;while(1){if((d|0)>=(c[f>>2]|0))break;r=c[g>>2]|0;q=+h[r+(d<<5)>>3];p=+h[r+(d<<5)+8>>3];o=+h[r+(d<<5)+16>>3];n=+h[r+(d<<5)+24>>3];c[i>>2]=d;h[i+8>>3]=q;h[i+16>>3]=p;h[i+24>>3]=o;h[i+32>>3]=n;zL(e,90313,i)|0;d=d+1|0}q=+h[b+8>>3];p=+h[b+16>>3];r=a[b+29>>0]|0?90344:90356;h[k>>3]=+h[b>>3];h[k+8>>3]=q;h[k+16>>3]=p;c[k+24>>2]=r;zL(e,90372,k)|0;p=+h[b+48>>3];q=+h[b+56>>3];r=a[b+69>>0]|0?90344:90356;h[j>>3]=+h[b+40>>3];h[j+8>>3]=p;h[j+16>>3]=q;c[j+24>>2]=r;zL(e,90423,j)|0;l=m;return}function sy(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;do if((b|0)>(c|0)&(d|0)>(a|0)){if(!((c|0)>(a|0)|(d|0)<(a|0))){a=d-a|0;break}if((b|0)<(c|0)|(b|0)>(d|0)){b=b-a|0;a=d-c|0;a=(b|0)<(a|0)?b:a;break}else{a=b-c|0;break}}else a=0;while(0);return a|0}function ty(a,b){a=a|0;b=b|0;return oy(a,b,1)|0}function uy(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0.0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0.0,M=0.0,N=0.0,P=0,Q=0;K=l;l=l+304|0;A=K+272|0;z=K+208|0;G=K+96|0;H=K+32|0;I=K+16|0;J=K;r=K+192|0;y=K+176|0;i=K+160|0;B=K+296|0;D=K+288|0;j=c[d>>2]|0;w=c[j>>2]&3;k=j+-48|0;E=c[((w|0)==2?j:k)+40>>2]|0;t=G+16|0;w=(c[(c[((w|0)==3?j:j+48|0)+40>>2]|0)+16>>2]|0)+16|0;x=j+16|0;F=(c[x>>2]|0)+16|0;c[z>>2]=c[w>>2];c[z+4>>2]=c[w+4>>2];c[z+8>>2]=c[w+8>>2];c[z+12>>2]=c[w+12>>2];c[A>>2]=c[F>>2];c[A+4>>2]=c[F+4>>2];c[A+8>>2]=c[F+8>>2];c[A+12>>2]=c[F+12>>2];vy(r,z,A);c[G>>2]=c[r>>2];c[G+4>>2]=c[r+4>>2];c[G+8>>2]=c[r+8>>2];c[G+12>>2]=c[r+12>>2];c[t>>2]=c[r>>2];c[t+4>>2]=c[r+4>>2];c[t+8>>2]=c[r+8>>2];c[t+12>>2]=c[r+12>>2];c[I>>2]=c[r>>2];c[I+4>>2]=c[r+4>>2];c[I+8>>2]=c[r+8>>2];c[I+12>>2]=c[r+12>>2];r=G+32|0;F=G+48|0;w=(c[E+16>>2]|0)+16|0;x=(c[x>>2]|0)+56|0;c[z>>2]=c[w>>2];c[z+4>>2]=c[w+4>>2];c[z+8>>2]=c[w+8>>2];c[z+12>>2]=c[w+12>>2];c[A>>2]=c[x>>2];c[A+4>>2]=c[x+4>>2];c[A+8>>2]=c[x+8>>2];c[A+12>>2]=c[x+12>>2];vy(y,z,A);c[F>>2]=c[y>>2];c[F+4>>2]=c[y+4>>2];c[F+8>>2]=c[y+8>>2];c[F+12>>2]=c[y+12>>2];c[r>>2]=c[y>>2];c[r+4>>2]=c[y+4>>2];c[r+8>>2]=c[y+8>>2];c[r+12>>2]=c[y+12>>2];c[J>>2]=c[y>>2];c[J+4>>2]=c[y+4>>2];c[J+8>>2]=c[y+8>>2];c[J+12>>2]=c[y+12>>2];a:do if((e|0)!=1&(a[174076]|0)==0){m=+h[G>>3];n=+h[F>>3];L=m-n;o=+h[G+8>>3];p=+h[G+56>>3];s=o-p;q=s*s;if(q+L*L<1.0e-06){c[t>>2]=c[G>>2];c[t+4>>2]=c[G+4>>2];c[t+8>>2]=c[G+8>>2];c[t+12>>2]=c[G+12>>2];c[r>>2]=c[F>>2];c[r+4>>2]=c[F+4>>2];c[r+8>>2]=c[F+8>>2];c[r+12>>2]=c[F+12>>2];y=G+24|0;x=G+40|0;n=0.0;m=0.0}else{M=n-m;L=+C(+(q+M*M));w=c[(c[(c[b+60>>2]|0)+16>>2]|0)+248>>2]|0;N=+((O(w,e+-1|0)|0)/2|0|0);q=s*N/L;h[t>>3]=q+m;m=M*N/L;y=G+24|0;h[y>>3]=m+o;h[r>>3]=q+n;x=G+40|0;h[x>>3]=p+m;m=+(0-w|0);n=M*m/L;m=s*m/L}f=(f|0)==6;u=D+4|0;v=B+4|0;j=0;while(1){if((j|0)>=(e|0))break a;w=c[d+(j<<2)>>2]|0;k=w+-48|0;b:do if((c[((c[w>>2]&3|0)==2?w:k)+40>>2]|0)==(E|0)){c[I>>2]=c[G>>2];c[I+4>>2]=c[G+4>>2];c[I+8>>2]=c[G+8>>2];c[I+12>>2]=c[G+12>>2];c[J>>2]=c[F>>2];c[J+4>>2]=c[F+4>>2];c[J+8>>2]=c[F+8>>2];c[J+12>>2]=c[F+12>>2];i=0;while(1){if((i|0)==4)break b;P=H+(i<<4)|0;Q=G+(i<<4)|0;c[P>>2]=c[Q>>2];c[P+4>>2]=c[Q+4>>2];c[P+8>>2]=c[Q+8>>2];c[P+12>>2]=c[Q+12>>2];i=i+1|0}}else{c[I>>2]=c[F>>2];c[I+4>>2]=c[F+4>>2];c[I+8>>2]=c[F+8>>2];c[I+12>>2]=c[F+12>>2];c[J>>2]=c[G>>2];c[J+4>>2]=c[G+4>>2];c[J+8>>2]=c[G+8>>2];c[J+12>>2]=c[G+12>>2];i=0;while(1){if((i|0)==4)break b;Q=H+(3-i<<4)|0;P=G+(i<<4)|0;c[Q>>2]=c[P>>2];c[Q+4>>2]=c[P+4>>2];c[Q+8>>2]=c[P+8>>2];c[Q+12>>2]=c[P+12>>2];i=i+1|0}}while(0);if(f){c[u>>2]=4;c[D>>2]=z;i=0;while(1){if((i|0)==4)break;Q=z+(i<<4)|0;P=H+(i<<4)|0;c[Q>>2]=c[P>>2];c[Q+4>>2]=c[P+4>>2];c[Q+8>>2]=c[P+8>>2];c[Q+12>>2]=c[P+12>>2];i=i+1|0}c[A>>2]=c[D>>2];c[A+4>>2]=c[D+4>>2];YI(A,B);Jz(w,c[((c[w>>2]&3|0)==2?w:k)+40>>2]|0,c[B>>2]|0,c[v>>2]|0,g)}else Jz(w,c[((c[w>>2]&3|0)==2?w:k)+40>>2]|0,H,4,g);c[z>>2]=c[I>>2];c[z+4>>2]=c[I+4>>2];c[z+8>>2]=c[I+8>>2];c[z+12>>2]=c[I+12>>2];c[A>>2]=c[J>>2];c[A+4>>2]=c[J+4>>2];c[A+8>>2]=c[J+8>>2];c[A+12>>2]=c[J+12>>2];cA(b,w,z,A);h[t>>3]=+h[t>>3]+m;h[y>>3]=+h[y>>3]+n;h[r>>3]=+h[r>>3]+m;h[x>>3]=+h[x>>3]+n;j=j+1|0}}else{if((f|0)==4){wy(i,b);c[A>>2]=c[i>>2];c[A+4>>2]=c[i+4>>2];c[A+8>>2]=c[i+8>>2];c[A+12>>2]=c[i+12>>2];xy(G,A)}Jz(j,c[((c[j>>2]&3|0)==2?j:k)+40>>2]|0,G,4,g);c[z>>2]=c[I>>2];c[z+4>>2]=c[I+4>>2];c[z+8>>2]=c[I+8>>2];c[z+12>>2]=c[I+12>>2];c[A>>2]=c[J>>2];c[A+4>>2]=c[J+4>>2];c[A+8>>2]=c[J+8>>2];c[A+12>>2]=c[J+12>>2];cA(b,j,z,A)}while(0);l=K;return}function vy(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=+h[c+8>>3]+ +h[b+8>>3];h[a>>3]=+h[c>>3]+ +h[b>>3];h[a+8>>3]=d;return}function wy(a,b){a=a|0;b=b|0;b=c[b+16>>2]|0;h[20899]=(+h[b+32>>3]+ +h[b+16>>3])*.5;h[20900]=(+h[b+40>>3]+ +h[b+24>>3])*.5;c[a>>2]=c[41798];c[a+4>>2]=c[41799];c[a+8>>2]=c[41800];c[a+12>>2]=c[41801];return}function xy(a,b){a=a|0;b=b|0;var c=0.0,d=0.0,e=0.0,f=0.0,g=0.0,i=0.0;f=+h[a>>3];d=+h[a+48>>3];i=(d+f)*.5;g=+h[a+8>>3];c=+h[a+56>>3];e=(c+g)*.5;f=d-f;g=c-g;f=+C(+(g*g+f*f))*.2;g=+h[b>>3]-i;c=+h[b+8>>3]-e;d=+C(+(c*c+g*g));if(!(d==0.0)){g=i-g/d*f;i=e-c/d*f;h[a+32>>3]=g;h[a+16>>3]=g;h[a+40>>3]=i;h[a+24>>3]=i}return}function yy(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0.0,n=0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,D=0,E=0,F=0.0,G=0,H=0.0,I=0.0,J=0.0;E=l;l=l+208|0;t=E+192|0;s=E+176|0;B=E+32|0;w=E+16|0;x=E;y=E+160|0;z=E+144|0;u=E+128|0;v=E+112|0;g=e&2130706432;A=(e&8|0)==0?((g|0)==0?4:g):8;if((A|0)==436207616)zy(a,b,d,f);else{D=vw((d<<6)+64|0)|0;p=d+-1|0;q=x+8|0;r=w+8|0;o=12.0;e=0;while(1){if((e|0)>=(d|0))break;n=b+(e<<4)|0;c[w>>2]=c[n>>2];c[w+4>>2]=c[n+4>>2];c[w+8>>2]=c[n+8>>2];c[w+12>>2]=c[n+12>>2];if((e|0)<(p|0)){e=e+1|0;n=b+(e<<4)|0;c[x>>2]=c[n>>2];c[x+4>>2]=c[n+4>>2];c[x+8>>2]=c[n+8>>2];c[x+12>>2]=c[n+12>>2]}else{c[x>>2]=c[b>>2];c[x+4>>2]=c[b+4>>2];c[x+8>>2]=c[b+8>>2];c[x+12>>2]=c[b+12>>2];e=e+1|0}m=+h[x>>3]-+h[w>>3];F=+h[q>>3]-+h[r>>3];m=+C(+(F*F+m*m))*.3333333333333333;o=o<m?o:m}k=(g|16777216|0)==83886080;n=(A|0)==4;j=(g|0)==16777216;e=0;i=0;while(1){if((i|0)>=(d|0))break;g=b+(i<<4)|0;c[w>>2]=c[g>>2];c[w+4>>2]=c[g+4>>2];c[w+8>>2]=c[g+8>>2];c[w+12>>2]=c[g+12>>2];if((i|0)<(p|0)){g=b+(i+1<<4)|0;c[x>>2]=c[g>>2];c[x+4>>2]=c[g+4>>2];c[x+8>>2]=c[g+8>>2];c[x+12>>2]=c[g+12>>2]}else{c[x>>2]=c[b>>2];c[x+4>>2]=c[b+4>>2];c[x+8>>2]=c[b+8>>2];c[x+12>>2]=c[b+12>>2]}m=+h[x>>3]-+h[w>>3];F=+h[q>>3]-+h[r>>3];m=o/+C(+(F*F+m*m));m=k?m*.3333333333333333:j?m*.5:m;g=D+(e<<4)|0;if(n){c[s>>2]=c[w>>2];c[s+4>>2]=c[w+4>>2];c[s+8>>2]=c[w+8>>2];c[s+12>>2]=c[w+12>>2];c[t>>2]=c[x>>2];c[t+4>>2]=c[x+4>>2];c[t+8>>2]=c[x+8>>2];c[t+12>>2]=c[x+12>>2];Ay(y,m*.5,s,t);c[g>>2]=c[y>>2];c[g+4>>2]=c[y+4>>2];c[g+8>>2]=c[y+8>>2];c[g+12>>2]=c[y+12>>2]}else{c[g>>2]=c[w>>2];c[g+4>>2]=c[w+4>>2];c[g+8>>2]=c[w+8>>2];c[g+12>>2]=c[w+12>>2]}g=D+(e+1<<4)|0;c[s>>2]=c[w>>2];c[s+4>>2]=c[w+4>>2];c[s+8>>2]=c[w+8>>2];c[s+12>>2]=c[w+12>>2];c[t>>2]=c[x>>2];c[t+4>>2]=c[x+4>>2];c[t+8>>2]=c[x+8>>2];c[t+12>>2]=c[x+12>>2];Ay(z,m,s,t);c[g>>2]=c[z>>2];c[g+4>>2]=c[z+4>>2];c[g+8>>2]=c[z+8>>2];c[g+12>>2]=c[z+12>>2];g=e+3|0;G=D+(e+2<<4)|0;c[s>>2]=c[w>>2];c[s+4>>2]=c[w+4>>2];c[s+8>>2]=c[w+8>>2];c[s+12>>2]=c[w+12>>2];c[t>>2]=c[x>>2];c[t+4>>2]=c[x+4>>2];c[t+8>>2]=c[x+8>>2];c[t+12>>2]=c[x+12>>2];Ay(u,1.0-m,s,t);c[G>>2]=c[u>>2];c[G+4>>2]=c[u+4>>2];c[G+8>>2]=c[u+8>>2];c[G+12>>2]=c[u+12>>2];if(n){G=D+(g<<4)|0;c[s>>2]=c[w>>2];c[s+4>>2]=c[w+4>>2];c[s+8>>2]=c[w+8>>2];c[s+12>>2]=c[w+12>>2];c[t>>2]=c[x>>2];c[t+4>>2]=c[x+4>>2];c[t+8>>2]=c[x+8>>2];c[t+12>>2]=c[x+12>>2];Ay(v,1.0-m*.5,s,t);c[G>>2]=c[v>>2];c[G+4>>2]=c[v+4>>2];c[G+8>>2]=c[v+8>>2];c[G+12>>2]=c[v+12>>2];e=e+4|0}else e=g;i=i+1|0}k=D+(e<<4)|0;c[k>>2]=c[D>>2];c[k+4>>2]=c[D+4>>2];c[k+8>>2]=c[D+8>>2];c[k+12>>2]=c[D+12>>2];k=D+(e+1<<4)|0;j=D+16|0;c[k>>2]=c[j>>2];c[k+4>>2]=c[j+4>>2];c[k+8>>2]=c[j+8>>2];c[k+12>>2]=c[j+12>>2];e=D+(e+2<<4)|0;k=D+32|0;c[e>>2]=c[k>>2];c[e+4>>2]=c[k+4>>2];c[e+8>>2]=c[k+8>>2];c[e+12>>2]=c[k+12>>2];e=A&2147483647;a:do if((e|0)<201326592){if((e|0)>=83886080){if((e|0)<134217728){if((e|0)<100663296){switch(e|0){case 83886080:break;default:break a}if((d|0)==4){G=vw(192)|0;c[G>>2]=c[b>>2];c[G+4>>2]=c[b+4>>2];c[G+8>>2]=c[b+8>>2];c[G+12>>2]=c[b+12>>2];p=G+16|0;t=b+16|0;c[p>>2]=c[t>>2];c[p+4>>2]=c[t+4>>2];c[p+8>>2]=c[t+8>>2];c[p+12>>2]=c[t+12>>2];p=D+48|0;t=D+64|0;o=+h[t>>3];n=G+32|0;h[n>>3]=o;q=D+56|0;r=D+72|0;H=+h[r>>3];z=G+40|0;h[z>>3]=H;F=+h[p>>3]+o-+h[k>>3];u=G+48|0;h[u>>3]=F;J=+h[q>>3]+H-+h[D+40>>3];x=G+56|0;h[x>>3]=J;I=+h[t>>3]+F-+h[p>>3];p=G+64|0;h[p>>3]=I;m=+h[r>>3]+J-+h[q>>3];q=G+72|0;h[q>>3]=m;r=G+80|0;h[r>>3]=o+I-F;h[G+88>>3]=H+m-J;t=D+96|0;v=D+80|0;J=+h[v>>3];d=G+144|0;h[d>>3]=J;w=D+104|0;s=D+88|0;m=+h[s>>3];h[G+152>>3]=m;H=+h[t>>3]+J-+h[D+112>>3];y=G+128|0;h[y>>3]=H;F=+h[w>>3]+m-+h[D+120>>3];A=G+136|0;h[A>>3]=F;I=+h[v>>3]+H-+h[t>>3];t=G+112|0;h[t>>3]=I;o=+h[s>>3]+F-+h[w>>3];w=G+120|0;h[w>>3]=o;s=G+96|0;h[s>>3]=J+I-H;v=G+104|0;h[v>>3]=m+o-F;k=G+160|0;j=b+32|0;c[k>>2]=c[j>>2];c[k+4>>2]=c[j+4>>2];c[k+8>>2]=c[j+8>>2];c[k+12>>2]=c[j+12>>2];k=G+176|0;b=b+48|0;c[k>>2]=c[b>>2];c[k+4>>2]=c[b+4>>2];c[k+8>>2]=c[b+8>>2];c[k+12>>2]=c[b+12>>2];HD(a,G,12,f);c[B>>2]=c[n>>2];c[B+4>>2]=c[n+4>>2];c[B+8>>2]=c[n+8>>2];c[B+12>>2]=c[n+12>>2];F=+h[n>>3];o=+h[u>>3];F=F+F-o;u=B+16|0;h[u>>3]=F;m=+h[z>>3];H=+h[x>>3];m=m+m-H;x=B+24|0;h[x>>3]=m;z=B+32|0;h[z>>3]=+h[p>>3]+F-o;b=B+40|0;h[b>>3]=+h[q>>3]+m-H;f=B+48|0;c[f>>2]=c[r>>2];c[f+4>>2]=c[r+4>>2];c[f+8>>2]=c[r+8>>2];c[f+12>>2]=c[r+12>>2];KD(a,B,4);c[B>>2]=c[s>>2];c[B+4>>2]=c[s+4>>2];c[B+8>>2]=c[s+8>>2];c[B+12>>2]=c[s+12>>2];H=+h[s>>3];m=+h[t>>3];H=H-(m-H);h[u>>3]=H;o=+h[v>>3];F=+h[w>>3];o=o-(F-o);h[x>>3]=o;h[z>>3]=+h[y>>3]+H-m;h[b>>3]=+h[A>>3]+o-F;c[f>>2]=c[d>>2];c[f+4>>2]=c[d+4>>2];c[f+8>>2]=c[d+8>>2];c[f+12>>2]=c[d+12>>2];KD(a,B,4);_I(G);break}else ma(90472,90483,737,90492)}if((e|0)<117440512){switch(e|0){case 100663296:break;default:break a}y=d+5|0;G=vw(y<<4)|0;z=b+16|0;H=+h[z>>3];H=(+h[b>>3]-H)*.625+H;h[G>>3]=H;A=b+40|0;J=+h[A>>3];d=b+24|0;v=D+48|0;w=D+56|0;x=D+72|0;J=(+h[d>>3]-J)*.5+J+(+h[w>>3]-+h[x>>3])*1.5;h[G+8>>3]=J;I=+h[z>>3];I=(+h[b>>3]-I)*.25+I;h[G+16>>3]=I;h[G+24>>3]=J;h[G+32>>3]=I;F=+h[A>>3];h[G+40>>3]=(+h[d>>3]-F)*.5+F;I=(+h[k>>3]-+h[v>>3])*.5+I;h[G+48>>3]=I;F=+h[A>>3];h[G+56>>3]=(+h[d>>3]-F)*.5+F;h[G+64>>3]=I;I=+h[A>>3];I=(+h[d>>3]-I)*.5+I+(+h[w>>3]-+h[x>>3]);h[G+72>>3]=I;h[G+80>>3]=H;h[G+88>>3]=I;h[G+96>>3]=H;I=I-(+h[w>>3]-+h[x>>3])*.25;h[G+104>>3]=I;h[G+112>>3]=+h[k>>3]+H-+h[v>>3];h[G+120>>3]=(+h[w>>3]-+h[x>>3])*.5+I;h[G+128>>3]=+h[G>>3];h[G+136>>3]=(+h[w>>3]-+h[x>>3])*.25+J;HD(a,G,y,f);h[B>>3]=+h[z>>3];J=+h[A>>3];h[B+8>>3]=(+h[d>>3]-J)*.5+J;h[B+16>>3]=+h[b>>3];h[B+24>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}else{switch(e|0){case 117440512:break;default:break a}d=d+1|0;G=vw(d<<4)|0;h[G>>3]=+h[j>>3];z=D+56|0;A=D+72|0;h[G+8>>3]=+h[D+24>>3]-(+h[z>>3]-+h[A>>3])*.5;h[G+16>>3]=+h[D+48>>3];J=+h[z>>3];h[G+24>>3]=J-(J-+h[A>>3])*.5;h[G+32>>3]=+h[b+32>>3];B=b+40|0;h[G+40>>3]=(+h[z>>3]-+h[A>>3])*.5+ +h[B>>3];h[G+48>>3]=+h[j>>3];h[G+56>>3]=(+h[z>>3]-+h[A>>3])*.5+ +h[B>>3];J=+h[b+8>>3];h[G+72>>3]=J-(J-+h[b+56>>3])*.5;h[G+64>>3]=+h[b>>3];HD(a,G,d,f);_I(G);break}}if((e|0)<167772160)if((e|0)<150994944){switch(e|0){case 134217728:break;default:break a}y=d+4|0;G=vw(y<<4)|0;z=b+16|0;F=+h[z>>3];x=D+48|0;F=(+h[b>>3]-F)*.5+F+(+h[k>>3]-+h[x>>3])*.25;h[G>>3]=F;A=b+40|0;J=+h[A>>3];d=b+24|0;J=(+h[d>>3]-J)*.5+J;h[G+8>>3]=J;h[G+16>>3]=F;v=D+56|0;w=D+72|0;H=(+h[v>>3]-+h[w>>3])*.5+J;h[G+24>>3]=H;F=(+h[k>>3]-+h[x>>3])*.5+F;h[G+32>>3]=F;h[G+40>>3]=H;h[G+48>>3]=F;F=(+h[v>>3]-+h[w>>3])*.5+H;h[G+56>>3]=F;I=+h[z>>3];I=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[x>>3])*-.75;h[G+64>>3]=I;h[G+72>>3]=F;h[G+80>>3]=I;h[G+88>>3]=H;I=+h[z>>3];I=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[x>>3])*-.25;h[G+96>>3]=I;h[G+104>>3]=H;h[G+112>>3]=I;h[G+120>>3]=J;HD(a,G,y,f);h[B>>3]=+h[z>>3];J=+h[A>>3];h[B+8>>3]=(+h[d>>3]-J)*.5+J;h[B+16>>3]=+h[b>>3];h[B+24>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}else{switch(e|0){case 150994944:break;default:break a}y=d+2|0;G=vw(y<<4)|0;z=b+16|0;H=+h[z>>3];x=D+48|0;H=(+h[b>>3]-H)*.5+H+(+h[k>>3]-+h[x>>3])*.75;h[G>>3]=H;A=b+40|0;J=+h[A>>3];d=b+24|0;J=(+h[d>>3]-J)*.5+J;h[G+8>>3]=J;h[G+16>>3]=H;v=D+56|0;w=D+72|0;H=(+h[v>>3]-+h[w>>3])*.25+J;h[G+24>>3]=H;I=+h[z>>3];h[G+32>>3]=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[x>>3])*.25;I=(+h[v>>3]-+h[w>>3])*.5+H;h[G+40>>3]=I;F=+h[z>>3];h[G+48>>3]=(+h[b>>3]-F)*.5+F+(+h[k>>3]-+h[x>>3])*-.25;h[G+56>>3]=I;I=+h[z>>3];I=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[x>>3])*-.75;h[G+64>>3]=I;h[G+72>>3]=H;h[G+80>>3]=I;h[G+88>>3]=J;HD(a,G,y,f);h[B>>3]=+h[z>>3];J=+h[A>>3];h[B+8>>3]=(+h[d>>3]-J)*.5+J;h[B+16>>3]=+h[b>>3];h[B+24>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}else if((e|0)<184549376){switch(e|0){case 167772160:break;default:break a}y=d+1|0;G=vw(y<<4)|0;z=b+16|0;H=+h[z>>3];v=D+48|0;H=+h[k>>3]+H+(+h[b>>3]-H)*.5-+h[v>>3];h[G>>3]=H;A=b+40|0;J=+h[A>>3];d=b+24|0;w=D+56|0;x=D+72|0;J=(+h[d>>3]-J)*.5+J+(+h[w>>3]-+h[x>>3])*.25;h[G+8>>3]=J;H=H-+h[k>>3]+ +h[v>>3];h[G+16>>3]=H;h[G+24>>3]=+h[w>>3]+J-+h[x>>3];h[G+32>>3]=H;H=(+h[w>>3]-+h[x>>3])*.5+J;h[G+40>>3]=H;I=+h[z>>3];I=(+h[b>>3]-I)*.25+I;h[G+48>>3]=I;h[G+56>>3]=H;h[G+64>>3]=I;h[G+72>>3]=J;HD(a,G,y,f);h[B>>3]=+h[z>>3];J=+h[A>>3];h[B+8>>3]=(+h[d>>3]-J)*.5+J;h[B+16>>3]=+h[b>>3];h[B+24>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}else{switch(e|0){case 184549376:break;default:break a}z=d+4|0;G=vw(z<<4)|0;y=b+16|0;H=+h[y>>3];I=+h[b>>3]-H;u=D+48|0;I=I*.125+H+(+h[k>>3]-+h[u>>3]+I)*.5;h[G>>3]=I;w=b+40|0;H=+h[w>>3];x=b+24|0;d=D+56|0;v=D+72|0;H=(+h[x>>3]-H)*.5+H+(+h[d>>3]-+h[v>>3])*.25;h[G+8>>3]=H;J=+h[y>>3];J=(+h[b>>3]-J)*.375+J;h[G+16>>3]=J;h[G+24>>3]=H;h[G+32>>3]=J;H=(+h[d>>3]-+h[v>>3])*.5+H;h[G+40>>3]=H;J=J-(+h[k>>3]-+h[u>>3])*.5;h[G+48>>3]=J;h[G+56>>3]=H;A=G+64|0;h[A>>3]=J;J=+h[w>>3];J=(+h[x>>3]-J)*.5+J+(+h[d>>3]-+h[v>>3])*-.25;h[G+72>>3]=J;H=I-(+h[k>>3]-+h[u>>3])*.5;h[G+80>>3]=H;h[G+88>>3]=J;h[G+96>>3]=H;J=J-(+h[d>>3]-+h[v>>3])*.5;h[G+104>>3]=J;v=G+112|0;h[v>>3]=I;h[G+120>>3]=J;HD(a,G,z,f);h[B>>3]=+h[y>>3];J=+h[w>>3];y=B+8|0;h[y>>3]=(+h[x>>3]-J)*.5+J;z=B+16|0;h[z>>3]=+h[A>>3];A=b+8|0;d=b+56|0;f=B+24|0;h[f>>3]=(+h[A>>3]-+h[d>>3])*.5+J;KD(a,B,2);h[B>>3]=+h[v>>3];J=+h[w>>3];h[y>>3]=(+h[x>>3]-J)*.5+J;h[z>>3]=+h[b>>3];h[f>>3]=(+h[A>>3]-+h[d>>3])*.5+J;KD(a,B,2);_I(G);break}}if((e|0)<33554432){if((e|0)<8){switch(e|0){case 4:break;default:break a}i=ww((d*96|0)+32|0)|0;e=0;g=0;while(1){j=g|1;k=i+(g<<4)|0;if((e|0)>=(d|0))break;b=e<<2;G=D+(b<<4)|0;c[k>>2]=c[G>>2];c[k+4>>2]=c[G+4>>2];c[k+8>>2]=c[G+8>>2];c[k+12>>2]=c[G+12>>2];G=i+(j<<4)|0;B=D+((b|1)<<4)|0;c[G>>2]=c[B>>2];c[G+4>>2]=c[B+4>>2];c[G+8>>2]=c[B+8>>2];c[G+12>>2]=c[B+12>>2];G=i+(g+2<<4)|0;c[G>>2]=c[B>>2];c[G+4>>2]=c[B+4>>2];c[G+8>>2]=c[B+8>>2];c[G+12>>2]=c[B+12>>2];G=i+(g+3<<4)|0;B=D+((b|2)<<4)|0;c[G>>2]=c[B>>2];c[G+4>>2]=c[B+4>>2];c[G+8>>2]=c[B+8>>2];c[G+12>>2]=c[B+12>>2];G=i+(g+4<<4)|0;c[G>>2]=c[B>>2];c[G+4>>2]=c[B+4>>2];c[G+8>>2]=c[B+8>>2];c[G+12>>2]=c[B+12>>2];G=i+(g+5<<4)|0;b=D+((b|3)<<4)|0;c[G>>2]=c[b>>2];c[G+4>>2]=c[b+4>>2];c[G+8>>2]=c[b+8>>2];c[G+12>>2]=c[b+12>>2];e=e+1|0;g=g+6|0}c[k>>2]=c[i>>2];c[k+4>>2]=c[i+4>>2];c[k+8>>2]=c[i+8>>2];c[k+12>>2]=c[i+12>>2];d=i+(j<<4)|0;G=i+16|0;c[d>>2]=c[G>>2];c[d+4>>2]=c[G+4>>2];c[d+8>>2]=c[G+8>>2];c[d+12>>2]=c[G+12>>2];JD(a,G,j,0,0,f&255);_I(i);break}if((e|0)<16777216){switch(e|0){case 8:break;default:break a}HD(a,b,d,f);g=B+16|0;e=0;while(1){if((e|0)>=(d|0))break a;G=e*3|0;f=D+(G+2<<4)|0;c[B>>2]=c[f>>2];c[B+4>>2]=c[f+4>>2];c[B+8>>2]=c[f+8>>2];c[B+12>>2]=c[f+12>>2];G=D+(G+4<<4)|0;c[g>>2]=c[G>>2];c[g+4>>2]=c[G+4>>2];c[g+8>>2]=c[G+8>>2];c[g+12>>2]=c[G+12>>2];KD(a,B,2);e=e+1|0}}switch(e|0){case 16777216:break;default:break a}g=d+1|0;i=vw(g<<4)|0;e=1;while(1){if((e|0)>=(d|0))break;G=i+(e<<4)|0;A=b+(e<<4)|0;c[G>>2]=c[A>>2];c[G+4>>2]=c[A+4>>2];c[G+8>>2]=c[A+8>>2];c[G+12>>2]=c[A+12>>2];e=e+1|0}b=d*3|0;A=D+(b+1<<4)|0;c[i>>2]=c[A>>2];c[i+4>>2]=c[A+4>>2];c[i+8>>2]=c[A+8>>2];c[i+12>>2]=c[A+12>>2];d=i+(d<<4)|0;G=D+(b+-1<<4)|0;c[d>>2]=c[G>>2];c[d+4>>2]=c[G+4>>2];c[d+8>>2]=c[G+8>>2];c[d+12>>2]=c[G+12>>2];HD(a,i,g,f);_I(i);c[B>>2]=c[G>>2];c[B+4>>2]=c[G+4>>2];c[B+8>>2]=c[G+8>>2];c[B+12>>2]=c[G+12>>2];G=B+16|0;c[G>>2]=c[A>>2];c[G+4>>2]=c[A+4>>2];c[G+8>>2]=c[A+8>>2];c[G+12>>2]=c[A+12>>2];f=B+32|0;h[f>>3]=+h[B>>3]+ +h[G>>3]-+h[D+(b<<4)>>3];h[B+40>>3]=+h[B+8>>3]+ +h[B+24>>3]-+h[D+(b<<4)+8>>3];KD(a,G,2);c[G>>2]=c[f>>2];c[G+4>>2]=c[f+4>>2];c[G+8>>2]=c[f+8>>2];c[G+12>>2]=c[f+12>>2];KD(a,B,2);break}else{if((e|0)<50331648){switch(e|0){case 33554432:break;default:break a}g=d+2|0;i=vw(g<<4)|0;c[i>>2]=c[b>>2];c[i+4>>2]=c[b+4>>2];c[i+8>>2]=c[b+8>>2];c[i+12>>2]=c[b+12>>2];j=i+16|0;c[j>>2]=c[k>>2];c[j+4>>2]=c[k+4>>2];c[j+8>>2]=c[k+8>>2];c[j+12>>2]=c[k+12>>2];j=D+48|0;d=D+64|0;h[i+32>>3]=(+h[j>>3]-+h[d>>3])*.3333333333333333+ +h[k>>3];G=D+56|0;e=D+72|0;h[i+40>>3]=(+h[G>>3]-+h[e>>3])*.3333333333333333+ +h[D+40>>3];J=+h[j>>3];h[i+48>>3]=(J-+h[d>>3])*.3333333333333333+J;J=+h[G>>3];h[i+56>>3]=(J-+h[e>>3])*.3333333333333333+J;e=4;while(1){if((e|0)>=(g|0))break;G=i+(e<<4)|0;d=b+(e+-2<<4)|0;c[G>>2]=c[d>>2];c[G+4>>2]=c[d+4>>2];c[G+8>>2]=c[d+8>>2];c[G+12>>2]=c[d+12>>2];e=e+1|0}HD(a,i,g,f);_I(i);c[B>>2]=c[j>>2];c[B+4>>2]=c[j+4>>2];c[B+8>>2]=c[j+8>>2];c[B+12>>2]=c[j+12>>2];G=B+16|0;c[G>>2]=c[k>>2];c[G+4>>2]=c[k+4>>2];c[G+8>>2]=c[k+8>>2];c[G+12>>2]=c[k+12>>2];KD(a,B,2);break}if((e|0)>=67108864){switch(e|0){case 67108864:break;default:break a}if((d|0)==4){G=vw(96)|0;c[G>>2]=c[b>>2];c[G+4>>2]=c[b+4>>2];c[G+8>>2]=c[b+8>>2];c[G+12>>2]=c[b+12>>2];d=G+16|0;c[d>>2]=c[k>>2];c[d+4>>2]=c[k+4>>2];c[d+8>>2]=c[k+8>>2];c[d+12>>2]=c[k+12>>2];d=G+32|0;A=D+64|0;c[d>>2]=c[A>>2];c[d+4>>2]=c[A+4>>2];c[d+8>>2]=c[A+8>>2];c[d+12>>2]=c[A+12>>2];d=G+48|0;b=b+32|0;c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];b=G+64|0;d=D+128|0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];b=G+80|0;z=D+160|0;c[b>>2]=c[z>>2];c[b+4>>2]=c[z+4>>2];c[b+8>>2]=c[z+8>>2];c[b+12>>2]=c[z+12>>2];HD(a,G,6,f);_I(G);h[B>>3]=+h[D+176>>3]+ +h[j>>3]-+h[D>>3];h[B+8>>3]=+h[D+184>>3]+ +h[D+24>>3]-+h[D+8>>3];G=B+16|0;c[G>>2]=c[A>>2];c[G+4>>2]=c[A+4>>2];c[G+8>>2]=c[A+8>>2];c[G+12>>2]=c[A+12>>2];KD(a,B,2);c[G>>2]=c[d>>2];c[G+4>>2]=c[d+4>>2];c[G+8>>2]=c[d+8>>2];c[G+12>>2]=c[d+12>>2];KD(a,B,2);c[G>>2]=c[D>>2];c[G+4>>2]=c[D+4>>2];c[G+8>>2]=c[D+8>>2];c[G+12>>2]=c[D+12>>2];KD(a,B,2);break}else ma(90472,90483,714,90492)}switch(e|0){case 50331648:break;default:break a}g=d+3|0;i=vw(g<<4)|0;c[i>>2]=c[b>>2];c[i+4>>2]=c[b+4>>2];c[i+8>>2]=c[b+8>>2];c[i+12>>2]=c[b+12>>2];J=+h[b>>3];h[i+16>>3]=J-(J-+h[j>>3])*.25;e=D+56|0;J=(+h[e>>3]-+h[D+72>>3])*.3333333333333333+ +h[b+8>>3];h[i+24>>3]=J;I=+h[b>>3];h[i+32>>3]=I-(I-+h[j>>3])*2.0;h[i+40>>3]=J;J=+h[b>>3];h[i+48>>3]=J-(J-+h[j>>3])*2.25;h[i+56>>3]=+h[e>>3];h[i+64>>3]=+h[D+48>>3];h[i+72>>3]=+h[e>>3];e=4;while(1){if((e|0)>=(g|0))break;G=i+(e<<4)|0;d=b+(e+-3<<4)|0;c[G>>2]=c[d>>2];c[G+4>>2]=c[d+4>>2];c[G+8>>2]=c[d+8>>2];c[G+12>>2]=c[d+12>>2];e=e+1|0}HD(a,i,g,f);_I(i);break}}else if((e|0)<318767104){if((e|0)<251658240){if((e|0)<218103808){switch(e|0){case 201326592:break;default:break a}G=d<<4;u=vw(G)|0;v=b+16|0;J=+h[v>>3];h[u>>3]=J;z=b+40|0;I=+h[z>>3];A=b+24|0;y=D+48|0;w=D+56|0;x=D+72|0;I=(+h[A>>3]-I)*.5+I+(+h[w>>3]-+h[x>>3])*.125;h[u+8>>3]=I;H=(+h[k>>3]-+h[y>>3])*2.0+J;h[u+16>>3]=H;h[u+24>>3]=I;h[u+32>>3]=H;I=(+h[w>>3]-+h[x>>3])*.5+I;h[u+40>>3]=I;h[u+48>>3]=J;h[u+56>>3]=I;HD(a,u,d,f);_I(u);G=vw(G)|0;I=+h[k>>3]+ +h[v>>3]-+h[y>>3];h[G>>3]=I;J=+h[z>>3];J=(+h[A>>3]-J)*.5+J+(+h[w>>3]-+h[x>>3])*-.625;h[G+8>>3]=J;H=+h[k>>3]-+h[y>>3]+I;y=G+16|0;h[y>>3]=H;h[G+24>>3]=J;h[G+32>>3]=H;J=(+h[w>>3]-+h[x>>3])*.5+J;h[G+40>>3]=J;h[G+48>>3]=I;h[G+56>>3]=J;HD(a,G,d,f);h[B>>3]=+h[y>>3];J=+h[z>>3];h[B+8>>3]=(+h[A>>3]-J)*.5+J;h[B+16>>3]=+h[b>>3];h[B+24>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}if((e|0)<234881024){switch(e|0){case 218103808:break;default:break a}G=d<<4;w=vw(G)|0;J=+h[b>>3];h[w>>3]=J;y=b+40|0;I=+h[y>>3];z=b+24|0;x=D+56|0;A=D+72|0;I=(+h[z>>3]-I)*.5+I+(+h[x>>3]-+h[A>>3])*.125;h[w+8>>3]=I;h[w+16>>3]=J;H=(+h[x>>3]-+h[A>>3])*.5+I;h[w+24>>3]=H;J=J-(+h[x>>3]-+h[A>>3])*2.0;h[w+32>>3]=J;h[w+40>>3]=H;h[w+48>>3]=J;h[w+56>>3]=I;HD(a,w,d,f);_I(w);G=vw(G)|0;I=+h[b>>3]-+h[k>>3]+ +h[D+48>>3];h[G>>3]=I;J=+h[y>>3];J=(+h[z>>3]-J)*.5+J+(+h[x>>3]-+h[A>>3])*-.625;h[G+8>>3]=J;h[G+16>>3]=I;H=(+h[x>>3]-+h[A>>3])*.5+J;h[G+24>>3]=H;I=I-(+h[x>>3]-+h[A>>3]);h[G+32>>3]=I;h[G+40>>3]=H;A=G+48|0;h[A>>3]=I;h[G+56>>3]=J;HD(a,G,d,f);h[B>>3]=+h[b+16>>3];J=+h[y>>3];h[B+8>>3]=(+h[z>>3]-J)*.5+J;h[B+16>>3]=+h[A>>3];h[B+24>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}else{switch(e|0){case 234881024:break;default:break a}G=d<<4;y=vw(G)|0;u=b+16|0;I=+h[u>>3];v=D+48|0;I=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[v>>3])*-1.125;h[y>>3]=I;w=b+40|0;J=+h[w>>3];x=b+24|0;A=D+56|0;z=D+72|0;J=(+h[x>>3]-J)*.5+J+(+h[A>>3]-+h[z>>3])*.125;h[y+8>>3]=J;H=+h[k>>3]-+h[v>>3]+I;h[y+16>>3]=H;h[y+24>>3]=J;h[y+32>>3]=H;J=(+h[A>>3]-+h[z>>3])*.5+J;h[y+40>>3]=J;h[y+48>>3]=I;h[y+56>>3]=J;HD(a,y,d,f);_I(y);y=vw(G)|0;J=+h[u>>3];J=(+h[b>>3]-J)*.5+J+(+h[k>>3]-+h[v>>3])*-1.125;h[y>>3]=J;I=+h[w>>3];I=(+h[x>>3]-I)*.5+I+(+h[A>>3]-+h[z>>3])*-.625;h[y+8>>3]=I;H=+h[k>>3]-+h[v>>3]+J;h[y+16>>3]=H;h[y+24>>3]=I;h[y+32>>3]=H;I=(+h[A>>3]-+h[z>>3])*.5+I;h[y+40>>3]=I;h[y+48>>3]=J;h[y+56>>3]=I;HD(a,y,d,f);_I(y);y=vw(G)|0;I=+h[u>>3];I=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[v>>3])*.125;h[y>>3]=I;J=+h[w>>3];J=(+h[x>>3]-J)*.5+J+(+h[A>>3]-+h[z>>3])*-.625;h[y+8>>3]=J;H=+h[k>>3]-+h[v>>3]+I;h[y+16>>3]=H;h[y+24>>3]=J;h[y+32>>3]=H;J=(+h[A>>3]-+h[z>>3])*.5+J;h[y+40>>3]=J;h[y+48>>3]=I;h[y+56>>3]=J;HD(a,y,d,f);_I(y);G=vw(G)|0;J=+h[u>>3];J=(+h[b>>3]-J)*.5+J+(+h[k>>3]-+h[v>>3])*.125;h[G>>3]=J;I=+h[w>>3];I=(+h[x>>3]-I)*.5+I+(+h[A>>3]-+h[z>>3])*.125;h[G+8>>3]=I;H=+h[k>>3]-+h[v>>3]+J;y=G+16|0;h[y>>3]=H;h[G+24>>3]=I;h[G+32>>3]=H;I=(+h[A>>3]-+h[z>>3])*.5+I;h[G+40>>3]=I;h[G+48>>3]=J;h[G+56>>3]=I;HD(a,G,d,f);h[B>>3]=+h[y>>3];I=+h[w>>3];y=B+8|0;h[y>>3]=(+h[x>>3]-I)*.5+I;z=B+16|0;h[z>>3]=+h[b>>3];A=b+8|0;d=b+56|0;f=B+24|0;h[f>>3]=(+h[A>>3]-+h[d>>3])*.5+I;KD(a,B,2);I=+h[u>>3];h[B>>3]=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[v>>3])*-1.125;J=+h[w>>3];h[y>>3]=(+h[x>>3]-J)*.5+J;h[z>>3]=I;h[f>>3]=(+h[A>>3]-+h[d>>3])*.5+J;KD(a,B,2);_I(G);break}}if((e|0)<285212672)if((e|0)<268435456){switch(e|0){case 251658240:break;default:break a}G=d<<4;u=vw(G)|0;v=b+16|0;J=+h[v>>3];y=D+48|0;J=J-+h[k>>3]+(+h[b>>3]-J)*.5+ +h[y>>3];h[u>>3]=J;w=b+40|0;I=+h[w>>3];x=b+24|0;A=D+56|0;z=D+72|0;I=(+h[x>>3]-I)*.5+I+(+h[A>>3]-+h[z>>3])*.125;h[u+8>>3]=I;H=(+h[k>>3]-+h[y>>3])*2.0+J;h[u+16>>3]=H;h[u+24>>3]=I;h[u+32>>3]=H;I=(+h[A>>3]-+h[z>>3])*.5+I;h[u+40>>3]=I;h[u+48>>3]=J;h[u+56>>3]=I;HD(a,u,d,f);_I(u);G=vw(G)|0;I=+h[v>>3];I=I-+h[k>>3]+(+h[b>>3]-I)*.5+ +h[y>>3];h[G>>3]=I;J=+h[w>>3];J=(+h[x>>3]-J)*.5+J+(+h[A>>3]-+h[z>>3])*-.625;h[G+8>>3]=J;H=(+h[k>>3]-+h[y>>3])*2.0+I;y=G+16|0;h[y>>3]=H;h[G+24>>3]=J;h[G+32>>3]=H;J=(+h[A>>3]-+h[z>>3])*.5+J;h[G+40>>3]=J;h[G+48>>3]=I;h[G+56>>3]=J;HD(a,G,d,f);h[B>>3]=+h[y>>3];J=+h[w>>3];y=B+8|0;h[y>>3]=(+h[x>>3]-J)*.5+J;z=B+16|0;h[z>>3]=+h[b>>3];A=b+8|0;d=b+56|0;f=B+24|0;h[f>>3]=(+h[A>>3]-+h[d>>3])*.5+J;KD(a,B,2);h[B>>3]=+h[v>>3];J=+h[w>>3];h[y>>3]=(+h[x>>3]-J)*.5+J;h[z>>3]=+h[G>>3];h[f>>3]=(+h[A>>3]-+h[d>>3])*.5+J;KD(a,B,2);_I(G);break}else{switch(e|0){case 268435456:break;default:break a}G=vw(d<<4)|0;h[G>>3]=+h[b>>3];v=D+48|0;x=D+56|0;y=D+72|0;h[G+8>>3]=+h[D+24>>3]-(+h[x>>3]-+h[y>>3])*.5;h[G+16>>3]=+h[v>>3];J=+h[x>>3];h[G+24>>3]=J-(J-+h[y>>3])*.5;h[G+32>>3]=+h[b+32>>3];z=b+40|0;h[G+40>>3]=(+h[x>>3]-+h[y>>3])*.5+ +h[z>>3];h[G+48>>3]=+h[b>>3];h[G+56>>3]=(+h[x>>3]-+h[y>>3])*.5+ +h[z>>3];HD(a,G,d,f);w=b+16|0;J=(+h[k>>3]-+h[v>>3])*.25;I=J+ +h[w>>3];h[B>>3]=I;H=+h[z>>3];u=b+24|0;F=+h[x>>3]-+h[y>>3];H=(+h[u>>3]-H)*.5+H+F*.125;A=B+8|0;h[A>>3]=H;d=B+16|0;h[d>>3]=J+I;f=B+24|0;h[f>>3]=H-F*.25;KD(a,B,2);F=(+h[k>>3]-+h[v>>3])*.25;H=F+ +h[w>>3];h[B>>3]=H;I=+h[z>>3];J=+h[x>>3]-+h[y>>3];I=(+h[u>>3]-I)*.5+I+J*-.125;h[A>>3]=I;h[d>>3]=F+H;h[f>>3]=J*.25+I;KD(a,B,2);I=(+h[k>>3]-+h[v>>3])*.25;h[B>>3]=I+ +h[w>>3];J=(+h[x>>3]-+h[y>>3])*.75+ +h[z>>3];h[A>>3]=J;h[d>>3]=+h[b>>3]-I;h[f>>3]=J;KD(a,B,2);_I(G);break}else if((e|0)<301989888){switch(e|0){case 285212672:break;default:break a}y=vw(d<<4)|0;v=b+16|0;I=+h[v>>3];z=D+48|0;I=(+h[k>>3]-+h[z>>3]+(+h[b>>3]-I))*.5+I;h[y>>3]=I;w=b+40|0;F=+h[w>>3];x=b+24|0;F=(+h[k>>3]-+h[z>>3]+(+h[x>>3]-F))*.5+F;h[y+8>>3]=F;h[y+16>>3]=I;I=+h[w>>3];o=+h[k>>3]-+h[z>>3];I=(+h[x>>3]-I-o)*.5+I;h[y+24>>3]=I;J=+h[v>>3];J=(+h[b>>3]-J-o)*.5+J;h[y+32>>3]=J;h[y+40>>3]=I;h[y+48>>3]=J;h[y+56>>3]=F;HD(a,y,d,f);_I(y);F=+h[v>>3];F=(+h[b>>3]-F)*.5+F;J=+h[k>>3]-+h[z>>3];I=J*.75;o=F+I;h[B>>3]=o;H=+h[w>>3];H=(+h[x>>3]-H)*.5+H;I=H+I;y=B+8|0;h[y>>3]=I;A=B+16|0;h[A>>3]=o;J=J*-.75;H=H+J;G=B+24|0;h[G>>3]=H;J=F+J;h[B+32>>3]=J;h[B+40>>3]=H;h[B+48>>3]=J;h[B+56>>3]=I;d=B+64|0;c[d>>2]=c[B>>2];c[d+4>>2]=c[B+4>>2];c[d+8>>2]=c[B+8>>2];c[d+12>>2]=c[B+12>>2];KD(a,B,5);I=+h[v>>3];J=+h[b>>3];h[B>>3]=(J-I)*.5+I+(+h[k>>3]-+h[z>>3])*.75;I=+h[w>>3];h[y>>3]=(+h[x>>3]-I)*.5+I;h[A>>3]=J;d=b+8|0;f=b+56|0;h[G>>3]=(+h[d>>3]-+h[f>>3])*.5+I;KD(a,B,2);I=+h[v>>3];h[B>>3]=I;J=+h[w>>3];h[y>>3]=(+h[x>>3]-J)*.5+J;h[A>>3]=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[z>>3])*-.75;h[G>>3]=(+h[d>>3]-+h[f>>3])*.5+J;KD(a,B,2);break}else{switch(e|0){case 301989888:break;default:break a}A=d+12|0;G=vw(A<<4)|0;x=b+16|0;m=+h[x>>3];s=D+48|0;m=(+h[b>>3]-m)*.5+m+(+h[k>>3]-+h[s>>3])*.25;h[G>>3]=m;y=b+40|0;F=+h[y>>3];z=b+24|0;v=D+56|0;w=D+72|0;F=(+h[v>>3]-+h[w>>3]+(+h[z>>3]-F))*.5+F;u=G+8|0;h[u>>3]=F;h[G+16>>3]=m;F=(+h[v>>3]-+h[w>>3])*.125+F;t=G+24|0;h[t>>3]=F;H=m-(+h[k>>3]-+h[s>>3])*.125;d=G+32|0;h[d>>3]=H;o=(+h[v>>3]-+h[w>>3])*.125+F;h[G+40>>3]=o;h[G+48>>3]=m;I=(+h[v>>3]-+h[w>>3])*.125+o;h[G+56>>3]=I;h[G+64>>3]=m;m=(+h[v>>3]-+h[w>>3])*.125+I;h[G+72>>3]=m;h[G+80>>3]=H;h[G+88>>3]=m;H=+h[x>>3];H=(+h[b>>3]-H)*.5+H;h[G+96>>3]=H;h[G+104>>3]=I;J=H-(+h[k>>3]-+h[s>>3])*.125;h[G+112>>3]=J;h[G+120>>3]=m;J=J-(+h[k>>3]-+h[s>>3])*.125;h[G+128>>3]=J;h[G+136>>3]=m;h[G+144>>3]=J;h[G+152>>3]=I;I=(+h[k>>3]-+h[s>>3])*.125+J;h[G+160>>3]=I;h[G+168>>3]=o;h[G+176>>3]=J;h[G+184>>3]=F;h[G+192>>3]=J;J=+h[u>>3];h[G+200>>3]=J;h[G+208>>3]=I;h[G+216>>3]=J;u=G+224|0;h[u>>3]=H;h[G+232>>3]=+h[t>>3];h[G+240>>3]=+h[d>>3];h[G+248>>3]=J;HD(a,G,A,f);J=+h[u>>3];h[B>>3]=J;H=+h[y>>3];H=(+h[z>>3]-H)*.5+H;A=B+8|0;h[A>>3]=H;d=B+16|0;h[d>>3]=J;f=B+24|0;h[f>>3]=(+h[v>>3]-+h[w>>3])*.125+H;KD(a,B,2);H=+h[u>>3];h[B>>3]=H;J=+h[y>>3];I=+h[v>>3]-+h[w>>3];J=(+h[z>>3]-J)*.5+J+I*.25;h[A>>3]=J;h[d>>3]=H;h[f>>3]=I*.125+J;KD(a,B,2);h[B>>3]=+h[x>>3];J=+h[y>>3];h[A>>3]=(+h[z>>3]-J)*.5+J;h[d>>3]=+h[b>>3];h[f>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}}else{if((e|0)<369098752){if((e|0)<335544320){switch(e|0){case 318767104:break;default:break a}A=d+4|0;G=vw(A<<4)|0;x=b+16|0;H=+h[x>>3];d=D+48|0;H=(+h[b>>3]-H)*.5+H+(+h[k>>3]-+h[d>>3])*.125;h[G>>3]=H;y=b+40|0;J=+h[y>>3];z=b+24|0;v=D+56|0;w=D+72|0;J=(+h[v>>3]-+h[w>>3]+(+h[z>>3]-J))*.5+J;h[G+8>>3]=J;o=(+h[k>>3]-+h[d>>3])*.125+H;h[G+16>>3]=o;I=(+h[v>>3]-+h[w>>3])*.125+J;h[G+24>>3]=I;h[G+32>>3]=o;o=(+h[v>>3]-+h[w>>3])*.25+I;h[G+40>>3]=o;h[G+48>>3]=H;F=(+h[v>>3]-+h[w>>3])*.125+o;h[G+56>>3]=F;H=H-(+h[k>>3]-+h[d>>3])*.25;h[G+64>>3]=H;h[G+72>>3]=F;F=H-(+h[k>>3]-+h[d>>3])*.125;h[G+80>>3]=F;h[G+88>>3]=o;h[G+96>>3]=F;h[G+104>>3]=I;h[G+112>>3]=H;h[G+120>>3]=J;HD(a,G,A,f);J=+h[x>>3];J=(+h[b>>3]-J)*.5+J;h[B>>3]=J;H=+h[y>>3];H=(+h[z>>3]-H)*.5+H;A=B+8|0;h[A>>3]=H;d=B+16|0;h[d>>3]=J;f=B+24|0;h[f>>3]=(+h[v>>3]-+h[w>>3])*.125+H;KD(a,B,2);H=+h[x>>3];H=(+h[b>>3]-H)*.5+H;h[B>>3]=H;J=+h[y>>3];I=+h[v>>3]-+h[w>>3];J=(+h[z>>3]-J)*.5+J+I*.25;h[A>>3]=J;h[d>>3]=H;h[f>>3]=I*.125+J;KD(a,B,2);h[B>>3]=+h[x>>3];J=+h[y>>3];h[A>>3]=(+h[z>>3]-J)*.5+J;h[d>>3]=+h[b>>3];h[f>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}if((e|0)<352321536){switch(e|0){case 335544320:break;default:break a}x=d+12|0;G=vw(x<<4)|0;y=b+16|0;m=+h[y>>3];u=D+48|0;m=(+h[b>>3]-m)*.5+m+(+h[k>>3]-+h[u>>3])*.25;h[G>>3]=m;z=b+40|0;F=+h[z>>3];A=b+24|0;s=D+56|0;t=D+72|0;F=(+h[s>>3]-+h[t>>3]+(+h[A>>3]-F))*.5+F;d=G+8|0;h[d>>3]=F;h[G+16>>3]=m;F=(+h[s>>3]-+h[t>>3])*.125+F;v=G+24|0;h[v>>3]=F;I=m-(+h[k>>3]-+h[u>>3])*.125;w=G+32|0;h[w>>3]=I;o=(+h[s>>3]-+h[t>>3])*.125+F;h[G+40>>3]=o;h[G+48>>3]=m;H=(+h[s>>3]-+h[t>>3])*.125+o;h[G+56>>3]=H;h[G+64>>3]=m;m=(+h[s>>3]-+h[t>>3])*.125+H;h[G+72>>3]=m;h[G+80>>3]=I;h[G+88>>3]=m;I=+h[y>>3];I=(+h[b>>3]-I)*.5+I;h[G+96>>3]=I;h[G+104>>3]=H;J=I-(+h[k>>3]-+h[u>>3])*.125;h[G+112>>3]=J;h[G+120>>3]=m;J=J-(+h[k>>3]-+h[u>>3])*.125;h[G+128>>3]=J;h[G+136>>3]=m;h[G+144>>3]=J;h[G+152>>3]=H;H=(+h[k>>3]-+h[u>>3])*.125+J;h[G+160>>3]=H;h[G+168>>3]=o;h[G+176>>3]=J;h[G+184>>3]=F;h[G+192>>3]=J;J=+h[d>>3];h[G+200>>3]=J;h[G+208>>3]=H;h[G+216>>3]=J;d=G+224|0;h[d>>3]=I;h[G+232>>3]=+h[v>>3];h[G+240>>3]=+h[w>>3];h[G+248>>3]=J;HD(a,G,x,f);c[B>>2]=c[d>>2];c[B+4>>2]=c[d+4>>2];c[B+8>>2]=c[d+8>>2];c[B+12>>2]=c[d+12>>2];d=B+16|0;h[d>>3]=+h[B>>3];J=+h[z>>3];f=B+24|0;h[f>>3]=(+h[A>>3]-J)*.5+J;KD(a,B,2);h[B>>3]=+h[y>>3];J=+h[z>>3];h[B+8>>3]=(+h[A>>3]-J)*.5+J;h[d>>3]=+h[b>>3];h[f>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}else{switch(e|0){case 352321536:break;default:break a}A=d+4|0;G=vw(A<<4)|0;x=b+16|0;I=+h[x>>3];w=D+48|0;I=(+h[b>>3]-I)*.5+I+(+h[k>>3]-+h[w>>3])*.125;h[G>>3]=I;y=b+40|0;J=+h[y>>3];z=b+24|0;u=D+56|0;v=D+72|0;J=(+h[u>>3]-+h[v>>3]+(+h[z>>3]-J))*.5+J;d=G+8|0;h[d>>3]=J;o=(+h[k>>3]-+h[w>>3])*.125+I;h[G+16>>3]=o;H=(+h[u>>3]-+h[v>>3])*.125+J;h[G+24>>3]=H;h[G+32>>3]=o;o=(+h[u>>3]-+h[v>>3])*.25+H;h[G+40>>3]=o;h[G+48>>3]=I;F=(+h[u>>3]-+h[v>>3])*.125+o;h[G+56>>3]=F;I=I-(+h[k>>3]-+h[w>>3])*.25;h[G+64>>3]=I;h[G+72>>3]=F;F=I-(+h[k>>3]-+h[w>>3])*.125;h[G+80>>3]=F;h[G+88>>3]=o;h[G+96>>3]=F;h[G+104>>3]=H;h[G+112>>3]=I;h[G+120>>3]=J;HD(a,G,A,f);J=+h[x>>3];J=(+h[b>>3]-J)*.5+J;h[B>>3]=J;A=B+8|0;h[A>>3]=+h[d>>3];d=B+16|0;h[d>>3]=J;J=+h[y>>3];f=B+24|0;h[f>>3]=(+h[z>>3]-J)*.5+J;KD(a,B,2);h[B>>3]=+h[x>>3];J=+h[y>>3];h[A>>3]=(+h[z>>3]-J)*.5+J;h[d>>3]=+h[b>>3];h[f>>3]=(+h[b+8>>3]-+h[b+56>>3])*.5+J;KD(a,B,2);_I(G);break}}if((e|0)<402653184)if((e|0)<385875968){switch(e|0){case 369098752:break;default:break a}d=d+5|0;G=vw(d<<4)|0;B=D+48|0;h[G>>3]=+h[j>>3]-(+h[k>>3]-+h[B>>3])*.5;y=D+56|0;A=D+72|0;h[G+8>>3]=+h[D+24>>3]-(+h[y>>3]-+h[A>>3])*.5;h[G+16>>3]=+h[B>>3];J=+h[y>>3];h[G+24>>3]=J-(J-+h[A>>3])*.5;h[G+32>>3]=+h[b+32>>3];z=b+40|0;h[G+40>>3]=+h[z>>3];J=+h[k>>3];h[G+48>>3]=(J-+h[B>>3])*.5+J;h[G+56>>3]=+h[z>>3];J=+h[k>>3];h[G+64>>3]=(J-+h[B>>3])*.5+J;h[G+72>>3]=(+h[y>>3]-+h[A>>3])*.5+ +h[z>>3];h[G+80>>3]=+h[j>>3]-(+h[k>>3]-+h[B>>3])*.5;h[G+88>>3]=(+h[y>>3]-+h[A>>3])*.5+ +h[z>>3];h[G+96>>3]=+h[j>>3]-(+h[k>>3]-+h[B>>3])*.5;z=b+56|0;h[G+104>>3]=+h[z>>3];A=b+8|0;J=+h[A>>3];h[G+120>>3]=J-(J-+h[z>>3])*.5;h[G+112>>3]=+h[b>>3];h[G+136>>3]=+h[A>>3];h[G+128>>3]=+h[j>>3]-(+h[k>>3]-+h[B>>3])*.5;HD(a,G,d,f);_I(G);break}else{switch(e|0){case 385875968:break;default:break a}d=d+3|0;G=vw(d<<4)|0;B=D+48|0;h[G>>3]=+h[j>>3]-(+h[k>>3]-+h[B>>3])*.5;y=D+56|0;A=D+72|0;h[G+8>>3]=+h[D+24>>3]-(+h[y>>3]-+h[A>>3])*.5;h[G+16>>3]=+h[B>>3];J=+h[y>>3];h[G+24>>3]=J-(J-+h[A>>3])*.5;h[G+32>>3]=+h[b+32>>3];z=b+40|0;h[G+40>>3]=(+h[y>>3]-+h[A>>3])*.5+ +h[z>>3];h[G+48>>3]=+h[j>>3]-(+h[k>>3]-+h[B>>3])*.5;h[G+56>>3]=(+h[y>>3]-+h[A>>3])*.5+ +h[z>>3];h[G+64>>3]=+h[j>>3]-(+h[k>>3]-+h[B>>3])*.5;z=b+56|0;h[G+72>>3]=+h[z>>3];A=b+8|0;J=+h[A>>3];h[G+88>>3]=J-(J-+h[z>>3])*.5;h[G+80>>3]=+h[b>>3];h[G+104>>3]=+h[A>>3];h[G+96>>3]=+h[j>>3]-(+h[k>>3]-+h[B>>3])*.5;HD(a,G,d,f);_I(G);break}else if((e|0)<419430400){switch(e|0){case 402653184:break;default:break a}d=d+3|0;G=vw(d<<4)|0;h[G>>3]=+h[b>>3];y=b+8|0;z=D+48|0;A=D+56|0;B=D+72|0;h[G+8>>3]=+h[y>>3]-(+h[A>>3]-+h[B>>3])*.5;J=+h[k>>3];h[G+16>>3]=(J-+h[z>>3])*.5+J;h[G+24>>3]=+h[y>>3]-(+h[A>>3]-+h[B>>3])*.5;J=+h[k>>3];h[G+32>>3]=(J-+h[z>>3])*.5+J;h[G+40>>3]=+h[D+40>>3];h[G+48>>3]=+h[b+16>>3];J=+h[b+24>>3];y=b+40|0;h[G+56>>3]=J-(J-+h[y>>3])*.5;J=+h[k>>3];h[G+64>>3]=(J-+h[z>>3])*.5+J;h[G+72>>3]=+h[y>>3];h[G+88>>3]=(+h[A>>3]-+h[B>>3])*.5+ +h[y>>3];J=+h[k>>3];h[G+80>>3]=(J-+h[z>>3])*.5+J;h[G+104>>3]=(+h[A>>3]-+h[B>>3])*.5+ +h[b+56>>3];h[G+96>>3]=+h[b>>3];HD(a,G,d,f);_I(G);break}else{switch(e|0){case 419430400:break;default:break a}d=d+5|0;G=vw(d<<4)|0;h[G>>3]=+h[b>>3];B=b+8|0;A=D+48|0;y=D+56|0;z=D+72|0;h[G+8>>3]=+h[B>>3]-(+h[y>>3]-+h[z>>3])*.5;J=+h[k>>3];h[G+16>>3]=(J-+h[A>>3])*.5+J;h[G+24>>3]=+h[B>>3]-(+h[y>>3]-+h[z>>3])*.5;J=+h[k>>3];h[G+32>>3]=(J-+h[A>>3])*.5+J;h[G+40>>3]=+h[D+40>>3];h[G+48>>3]=+h[b+16>>3];J=+h[b+24>>3];B=b+40|0;h[G+56>>3]=J-(J-+h[B>>3])*.5;J=+h[k>>3];h[G+64>>3]=(J-+h[A>>3])*.5+J;h[G+72>>3]=+h[B>>3];h[G+88>>3]=(+h[y>>3]-+h[z>>3])*.5+ +h[B>>3];J=+h[k>>3];h[G+80>>3]=(J-+h[A>>3])*.5+J;B=b+56|0;h[G+104>>3]=(+h[y>>3]-+h[z>>3])*.5+ +h[B>>3];h[G+96>>3]=+h[j>>3]-(+h[k>>3]-+h[A>>3])*.5;h[G+112>>3]=+h[j>>3]-(+h[k>>3]-+h[A>>3])*.5;h[G+120>>3]=+h[B>>3];h[G+128>>3]=+h[b+48>>3];h[G+136>>3]=+h[B>>3];HD(a,G,d,f);_I(G);break}}while(0);_I(D)}l=E;return}function zy(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0.0;f=l;l=l+112|0;g=f;k=+h[b+8>>3]*2.0;c[g>>2]=c[b>>2];c[g+4>>2]=c[b+4>>2];c[g+8>>2]=c[b+8>>2];c[g+12>>2]=c[b+12>>2];h[g+16>>3]=+h[b+16>>3];h[g+24>>3]=k-+h[b+24>>3];h[g+32>>3]=+h[b+32>>3];h[g+40>>3]=k-+h[b+40>>3];h[g+48>>3]=+h[b+48>>3];h[g+56>>3]=k-+h[b+56>>3];h[g+64>>3]=+h[b+64>>3];h[g+72>>3]=k-+h[b+72>>3];h[g+80>>3]=+h[b+80>>3];h[g+88>>3]=k-+h[b+88>>3];i=g+96|0;j=b+96|0;c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];c[i+8>>2]=c[j+8>>2];c[i+12>>2]=c[j+12>>2];JD(a,b,d,0,0,e&255);JD(a,g,7,0,0,0);l=f;return}function Ay(a,b,c,d){a=a|0;b=+b;c=c|0;d=d|0;var e=0.0,f=0.0;f=+h[c>>3];e=+h[c+8>>3];e=(+h[d+8>>3]-e)*b+e;h[a>>3]=(+h[d>>3]-f)*b+f;h[a+8>>3]=e;return}function By(a){a=a|0;a=c[(c[a+16>>2]|0)+8>>2]|0;if(a){a=c[c[a+4>>2]>>2]|0;if((a|0)!=75)if((a|0)==78)a=2;else return ((a|0)==77?3:(a|0)==80?4:0)|0;else a=1}else a=0;return a|0}function Cy(b){b=b|0;var d=0,e=0,f=0.0,g=0,i=0,j=0,k=0.0,m=0.0,n=0.0,o=0.0,p=0,q=0.0,r=0.0,s=0.0,t=0.0,u=0.0,v=0.0,w=0.0,x=0.0,y=0.0,z=0.0,A=0,D=0,G=0,H=0,I=0,J=0,L=0,M=0,N=0,P=0.0,Q=0.0,R=0,S=0,T=0.0,U=0.0,V=0.0,W=0,X=0,Y=0,Z=0,_=0,$=0,aa=0,ba=0.0;aa=l;l=l+144|0;J=aa+112|0;N=aa+104|0;G=aa+96|0;H=aa+88|0;i=aa+80|0;Y=aa+64|0;_=aa+48|0;R=aa+40|0;S=aa+32|0;j=aa+24|0;p=aa+16|0;D=aa+136|0;A=aa+128|0;L=aa;$=vw(48)|0;Z=b+16|0;W=c[(c[(c[Z>>2]|0)+8>>2]|0)+8>>2]|0;g=(W|0)==1552;X=c[W>>2]|0;d=c[W+4>>2]|0;e=c[W+8>>2]|0;m=+h[W+16>>3];n=+h[W+32>>3];o=+h[W+24>>3];X=X|(IA(Im(b,90545)|0)|0)&255;do if(!g){if(!X){W=c[Z>>2]|0;k=+h[W+32>>3]*72.0;f=+h[W+40>>3]*72.0;f=+(~~(f+(f>=0.0?.5:-.5))|0);k=+(~~(k+(k>=0.0?.5:-.5))|0);break}k=+My(b);if(k>0.0)f=k;else{W=c[Z>>2]|0;f=+h[W+32>>3];k=+h[W+40>>3];k=(f<k?f:k)*72.0;k=+(~~(k+(k>=0.0?.5:-.5))|0);f=k}}else{f=0.0;k=0.0}while(0);W=DA(b,c[42204]|0,d,0)|0;V=+EA(b,c[42206]|0,0.0,-360.0)+m;if(!e){U=+EA(b,c[42207]|0,0.0,-100.0);I=DA(b,c[42203]|0,4,0)|0;T=+EA(b,c[42208]|0,0.0,-100.0)}else{I=e;U=n;T=o}d=c[(c[Z>>2]|0)+104>>2]|0;e=d+24|0;c[Y>>2]=c[e>>2];c[Y+4>>2]=c[e+4>>2];c[Y+8>>2]=c[e+8>>2];c[Y+12>>2]=c[e+12>>2];q=+h[Y>>3];if(q>0.0){if(!g)M=11}else if(!(g|!(+h[Y+8>>3]>0.0)))M=11;if((M|0)==11){d=Im(b,90530)|0;do if(d){h[p>>3]=0.0;h[j>>3]=0.0;c[i>>2]=j;c[i+4>>2]=p;d=cM(d,90537,i)|0;m=+h[j>>3];if(m<0.0){h[j>>3]=0.0;m=0.0}n=+h[p>>3];if(n<0.0){h[p>>3]=0.0;o=0.0}else o=n;if((d|0)<=0){n=q+16.0;h[Y>>3]=n;m=8.0;break}m=m*72.0;m=+(~~(m+(m>=0.0?.5:-.5))<<1|0);n=q+m;h[Y>>3]=n;if((d|0)!=1){m=o*72.0;m=+(~~(m+(m>=0.0?.5:-.5))<<1|0)}}else{n=q+16.0;h[Y>>3]=n;m=8.0}while(0);d=Y+8|0;h[d>>3]=+h[d>>3]+m;d=c[(c[Z>>2]|0)+104>>2]|0;q=n}s=+h[d+24>>3];m=+h[c[(c[(ro(b)|0)+16>>2]|0)+8>>2]>>3];if(m>0.0){P=m*72.0;P=+(~~(P+(P>=0.0?.5:-.5))|0);Q=+Ny(q,P);h[Y>>3]=Q;p=Y+8|0;h[p>>3]=+Ny(+h[p>>3],P)}else Q=q;d=c[(c[Z>>2]|0)+8>>2]|0;do if(!(a[d+12>>0]|0)){e=Im(b,93847)|0;if((e|0)!=0?(a[e>>0]|0)!=0:0){Pr(A,ro(b)|0,e);d=c[A>>2]|0;g=c[A+4>>2]|0;if((g&d|0)==-1){d=Dn(b)|0;c[G>>2]=e;c[G+4>>2]=d;_l(0,90621,G)|0;e=0;d=0;break}else{a[(c[(ro(b)|0)+16>>2]|0)+114>>0]=1;e=d+2|0;d=g+2|0;break}}else{e=0;d=0}}else{d=c[d>>2]|0;if((a[d>>0]|0)==99?(xJ(d,90553)|0)==0:0){e=Im(b,90560)|0;Pr(D,ro(b)|0,e);d=c[D>>2]|0;g=c[D+4>>2]|0;if((g&d|0)==-1){d=Dn(b)|0;c[H>>2]=e|0?e:90570;c[H+4>>2]=d;_l(0,90576,H)|0;e=0;d=0;break}else{a[(c[(ro(b)|0)+16>>2]|0)+114>>0]=1;e=d+2|0;d=g+2|0;break}}else{e=0;d=0}}while(0);P=+(e|0);h[_>>3]=Q>P?Q:P;P=+h[Y+8>>3];r=+(d|0);d=_+8|0;h[d>>3]=P>r?P:r;e=(I|0)<3&(T!=0.0|U!=0.0)?120:I;g=Im(b,90662)|0;if(!g)i=99;else{i=a[g>>0]|0;i=i<<24>>24==116?116:i<<24>>24==98?98:99}g=c[Z>>2]|0;a[(c[g+104>>2]|0)+80>>0]=i;if((e|0)==4?(T==0.0?((~~(V+(V>=0.0?.5:-.5))|0)%90|0|0)==0:0)&U==0.0:0)p=1;else M=39;do if((M|0)==39){g=c[(c[(c[g+8>>2]|0)+8>>2]|0)+44>>2]|0;if(g|0){p=c[g>>2]|0;c[J>>2]=c[_>>2];c[J+4>>2]=c[_+4>>2];c[J+8>>2]=c[_+8>>2];c[J+12>>2]=c[_+12>>2];hb[p&31](L,J);c[_>>2]=c[L>>2];c[_+4>>2]=c[L+4>>2];c[_+8>>2]=c[L+8>>2];c[_+12>>2]=c[L+12>>2];p=0;break}m=+h[d>>3];n=m*1.4142135623730951;if(f>n&i<<24>>24==99){o=m/f;o=+C(+(1.0/(1.0-o*o)));o=+h[_>>3]*o;h[_>>3]=o}else{o=+h[_>>3]*1.4142135623730951;h[_>>3]=o;h[d>>3]=n;m=n}if((e|0)>2){z=+E(+(3.141592653589793/+(e|0)));h[_>>3]=o/z;h[d>>3]=m/z;p=0}else p=0}while(0);m=+h[d>>3];g=FA(b,c[42209]|0,122100)|0;if((a[g>>0]|0)==115?(xJ(g,90671)|0)==0:0){h[_>>3]=k;h[d>>3]=f;N=$+40|0;c[N>>2]=c[N>>2]|2048}else{if(!((IA(g)|0)<<24>>24)){z=+h[_>>3];k=k>z?k:z;h[_>>3]=k;z=+h[d>>3];f=f>z?f:z}else{M=c[(c[Z>>2]|0)+104>>2]|0;if(!(!(k<+h[M+24>>3])?!(f<+h[M+32>>3]):0)){L=Dn(b)|0;M=Dn(ro(b)|0)|0;c[N>>2]=L;c[N+4>>2]=M;_l(0,90677,N)|0}h[_>>3]=k}h[d>>3]=f}if(!X){z=f;y=k}else{y=k>f?k:f;h[d>>3]=y;h[_>>3]=y;z=y}do if(!((IA(FA(b,c[42200]|0,122100)|0)|0)<<24>>24)){if(p){f=+h[(Q>+h[_>>3]?Y:_)>>3];break}f=+h[d>>3];if(P<f){f=+h[_>>3]*+C(+(1.0-P*P/(f*f)));f=Q>f?Q:f}else f=Q}else f=Q;while(0);g=c[(c[Z>>2]|0)+104>>2]|0;h[g+40>>3]=s-q+f;A=$+40|0;if(!(c[A>>2]&2048)){x=+h[d>>3]-m;h[g+48>>3]=(P<r?r-P+x:x)+P}j=(W|0)>1;g=j?W:1;a:do if((e|0)<3){g=vw(g<<5)|0;k=+h[_>>3]*.5;f=+h[d>>3]*.5;h[g>>3]=-k;h[g+8>>3]=-f;h[g+16>>3]=k;h[g+24>>3]=f;if(j){e=1;i=2;while(1){if((e|0)==(W|0))break;y=k+4.0;z=f+4.0;h[g+(i<<4)>>3]=-y;h[g+(i<<4)+8>>3]=-z;S=i|1;h[g+(S<<4)>>3]=y;h[g+(S<<4)+8>>3]=z;e=e+1|0;i=i+2|0;k=y;f=z}h[_>>3]=k*2.0;h[d>>3]=f*2.0;e=2}else e=2}else{g=vw(O(g<<4,e)|0)|0;i=c[(c[(c[(c[Z>>2]|0)+8>>2]|0)+8>>2]|0)+44>>2]|0;b:do if(!i){q=6.283185307179586/+(e|0);t=q*.5;r=+F(+t);s=+QJ(+B(+U)+ +B(+T),1.0);t=T*1.4142135623730951/+E(+t);u=U*.5;SJ((q+-3.141592653589793)*.5,R,S);v=V*.017453292519943295;k=0.0;f=0.0;m=0.0;i=0;n=+h[S>>3]*.5;o=+h[R>>3]*.5;while(1){if((i|0)>=(e|0))break b;m=m+q;SJ(m,R,S);n=+h[S>>3]*r+n;o=+h[R>>3]*r+o;x=(o*t+s)*n+u*o;SJ(+K(+o,+x)+v,R,S);x=+QJ(x,o);w=+h[S>>3]*x*+h[_>>3];x=+h[R>>3]*x*+h[d>>3];ba=+B(+w);f=ba>f?ba:f;ba=+B(+x);k=ba>k?ba:k;h[g+(i<<4)>>3]=w;h[g+(i<<4)+8>>3]=x;if(p)break;else i=i+1|0}ba=-w;h[g+16>>3]=ba;h[g+24>>3]=x;h[g+32>>3]=ba;ba=-x;h[g+40>>3]=ba;h[g+48>>3]=w;h[g+56>>3]=ba}else{hb[c[i+4>>2]&31](g,_);k=+h[d>>3]*.5;f=+h[_>>3]*.5}while(0);f=f*2.0;k=k*2.0;y=y>f?y:f;h[_>>3]=y;ba=z>k?z:k;h[d>>3]=ba;f=y/f;k=ba/k;i=0;while(1){if((i|0)>=(e|0))break;N=g+(i<<4)|0;b=g+(i<<4)+8|0;ba=+h[b>>3]*k;h[N>>3]=+h[N>>3]*f;h[b>>3]=ba;i=i+1|0}if(j){j=e+-1|0;k=+h[g>>3];m=+h[g+8>>3];f=+K(+(m-+h[g+(j<<4)+8>>3]),+(k-+h[g+(j<<4)>>3]));j=0;c:while(1){if((j|0)>=(e|0))break;p=j+1|0;i=(p|0)%(e|0)|0;n=+h[g+(i<<4)>>3];o=+h[g+(i<<4)+8>>3];q=+K(+(o-m),+(n-k));z=(f+3.141592653589793-q)*.5;ba=4.0/+F(+z);SJ(f-z,R,S);h[R>>3]=+h[R>>3]*ba;h[S>>3]=+h[S>>3]*ba;i=1;f=m;while(1){if((i|0)==(W|0)){f=q;j=p;k=n;m=o;continue c}z=+h[S>>3]+k;ba=+h[R>>3]+f;b=(O(i,e)|0)+j|0;h[g+(b<<4)>>3]=z;h[g+(b<<4)+8>>3]=ba;i=i+1|0;k=z;f=ba}}j=O(e,W+-1|0)|0;i=0;while(1){if((i|0)>=(e|0))break a;S=i+j|0;z=+h[g+(S<<4)+8>>3];y=+B(+(+h[g+(S<<4)>>3]))*2.0;ba=+h[_>>3];h[_>>3]=y>ba?y:ba;z=+B(+z)*2.0;ba=+h[d>>3];h[d>>3]=z>ba?z:ba;i=i+1|0}}}while(0);c[$>>2]=X;c[$+4>>2]=W;c[$+8>>2]=e;h[$+16>>3]=V;h[$+32>>3]=U;h[$+24>>3]=T;c[$+44>>2]=g;f=+h[_>>3];if(!(c[A>>2]&2048)){e=c[Z>>2]|0;h[e+32>>3]=f*.013888888888888888}else{e=c[Z>>2]|0;h[e+32>>3]=+h[(Q>f?Y:_)>>3]*.013888888888888888;d=(P>+h[d>>3]?Y:_)+8|0}h[e+40>>3]=+h[d>>3]*.013888888888888888;c[e+12>>2]=$;l=aa;return}function Dy(a){a=a|0;var b=0,d=0,e=0,f=0,g=0.0,i=0.0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+64|0;j=o+40|0;e=o+32|0;k=o+16|0;n=o;d=(c[(c[(ro(a)|0)+16>>2]|0)+116>>2]|0)>>>2&1^1;m=a+16|0;f=c[c[(c[m>>2]|0)+104>>2]>>2]|0;c[42326]=f;f=rJ(f)|0;f=vw(((f|0)>1?f:1)+1|0)|0;b=Fy(a,d,1,f)|0;if(!b){c[e>>2]=c[c[(c[m>>2]|0)+104>>2]>>2];_l(1,90506,e)|0;c[42326]=90527;b=Fy(a,d,1,f)|0}_I(f);Gy(j,a,b);d=c[m>>2]|0;i=+h[d+32>>3]*72.0;i=+(~~(i+(i>=0.0?.5:-.5))|0);h[n>>3]=i;g=+h[d+40>>3]*72.0;g=+(~~(g+(g>=0.0?.5:-.5))|0);d=n+8|0;h[d>>3]=g;if(!((IA(FA(a,c[42209]|0,122100)|0)|0)<<24>>24)){i=+h[(+h[b>>3]>i?b:n)>>3];h[n>>3]=i;e=b+8|0;g=+h[(+h[e>>3]>g?b:n)+8>>3];h[d>>3]=g;d=e;e=b}else{d=b+8|0;e=b}a=(IA(FA(a,c[42200]|0,122100)|0)|0)&255;c[j>>2]=c[n>>2];c[j+4>>2]=c[n+4>>2];c[j+8>>2]=c[n+8>>2];c[j+12>>2]=c[n+12>>2];Hy(b,j,a);Iy(k,i*-.5,g*.5);c[j>>2]=c[k>>2];c[j+4>>2]=c[k+4>>2];c[j+8>>2]=c[k+8>>2];c[j+12>>2]=c[k+12>>2];Jy(b,j,15);n=c[m>>2]|0;h[n+32>>3]=+h[e>>3]*.013888888888888888;h[n+40>>3]=(+h[d>>3]+1.0)*.013888888888888888;c[n+12>>2]=b;l=o;return}function Ey(a){a=a|0;var b=0.0,d=0,e=0.0,f=0.0,g=0,i=0,j=0,k=0,l=0.0,m=0;j=vw(48)|0;k=a+16|0;g=c[(c[(c[(c[k>>2]|0)+8>>2]|0)+8>>2]|0)+4>>2]|0;f=+EA(a,c[42190]|0,1797693134862315708145274.0e284,0.0);b=+EA(a,c[42189]|0,1797693134862315708145274.0e284,0.0);f=f<b?f:b;f=b==1797693134862315708145274.0e284&f==1797693134862315708145274.0e284?.05:f>0.0?(f>.0003?f:.0003):f;i=c[k>>2]|0;h[i+40>>3]=f;h[i+32>>3]=f;b=f*72.0;g=DA(a,c[42204]|0,g,0)|0;i=vw((g|0)<1?32:g<<5)|0;f=f*36.0;e=-f;h[i>>3]=e;h[i+8>>3]=e;h[i+16>>3]=f;h[i+24>>3]=f;if((g|0)>1){a=1;d=2;e=f;b=f;while(1){if((a|0)==(g|0))break;l=e+4.0;f=b+4.0;h[i+(d<<4)>>3]=-l;h[i+(d<<4)+8>>3]=-f;m=d|1;h[i+(m<<4)>>3]=l;h[i+(m<<4)+8>>3]=f;a=a+1|0;d=d+2|0;e=l;b=f}b=e*2.0}c[j>>2]=1;c[j+4>>2]=g;c[j+8>>2]=2;m=j+16|0;c[m>>2]=0;c[m+4>>2]=0;c[m+8>>2]=0;c[m+12>>2]=0;c[m+16>>2]=0;c[m+20>>2]=0;c[j+44>>2]=i;l=b*.013888888888888888;m=c[k>>2]|0;h[m+32>>3]=l;h[m+40>>3]=l;c[m+12>>2]=j;return}function Fy(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0;g=vw(72)|0;n=c[(c[b+16>>2]|0)+104>>2]|0;m=0;i=1;j=c[42326]|0;a:while(1){k=a[j>>0]|0;switch(k<<24>>24){case 0:break a;case 92:{j=j+1|0;k=a[j>>0]|0;switch(k<<24>>24){case 124:case 125:case 123:case 92:{l=m;break}default:E=4}break}default:E=4}if((E|0)==4){E=0;switch(k<<24>>24){case 123:{l=m+1|0;break}case 125:{l=m+-1|0;break}default:{l=m;i=i+((m|0)==0&k<<24>>24==124&1)|0}}if((l|0)<0)break}m=l;j=j+1|0}B=g+56|0;c[B>>2]=vw(i<<2)|0;a[g+64>>0]=d;y=(d|0)==0&1;z=n+82|0;A=f+1|0;v=(e|0)!=0;w=n+16|0;x=n+4|0;u=n+8|0;k=0;m=0;d=0;t=0;l=0;e=0;n=f;i=0;j=0;b:while(1){p=k;k=0;c:while(1){d:while(1){s=e;e:while(1){r=k;o=i;f:while(1){q=m;g:while(1){while(1){if(t){E=78;break b}m=c[42326]|0;i=a[m>>0]|0;if((i+-1&255)>=31)break;c[42326]=m+1}switch(i<<24>>24|0){case 92:{E=53;break d}case 0:case 124:case 125:break e;case 60:break f;case 62:break g;case 123:break;default:{k=d;i=m;break d}}i=m+1|0;c[42326]=i;if(l|0){E=34;break b}if(!(a[i>>0]|0)){E=34;break b}e=Fy(b,y,0,f)|0;c[(c[B>>2]|0)+(q<<2)>>2]=e;if(!e){E=36;break b}else{q=q+1|0;l=4}}if(a[z>>0]|0){k=d;i=m;break d}if(!(l&16)){E=27;break b}if(o>>>0>A>>>0?(C=o+-1|0,(C|0)!=(s|0)):0)i=(a[C>>0]|0)==32?C:o;else i=o;a[i>>0]=0;r=GL(f)|0;c[42326]=(c[42326]|0)+1;m=q;l=l&-17;o=i}if(l&6|0){E=22;break b}if(a[z>>0]|0){k=d;i=m;break d}c[42326]=m+1;m=q;l=l|18;k=r;s=f;i=f}if(!((l&16|0)==0&(v|i<<24>>24!=0))){E=38;break b}if(!(l&4)){k=vw(72)|0;c[(c[B>>2]|0)+(q<<2)>>2]=k;m=q+1|0}else{k=p;m=q}if(r|0)c[k+60>>2]=r;if(!(l&5)){a[f+j>>0]=32;l=l|1;j=j+1|0}i=f+j|0;if(l&1){if((j|0)>1?(D=i+-1|0,(D|0)!=(n|0)):0)i=(a[D>>0]|0)==32?D:i;a[i>>0]=0;n=GL(f)|0;c[k+52>>2]=lw(b,n,a[z>>0]|0?2:0,+h[w>>3],c[x>>2]|0,c[u>>2]|0)|0;a[k+64>>0]=1;n=f;j=0}i=c[42326]|0;switch(a[i>>0]|0){case 0:{t=1;e=s;i=o;continue b}case 125:{E=51;break b}default:{}}c[42326]=i+1;p=k;l=0;k=0;e=s;i=o}h:do if((E|0)==53){E=0;k=f+j|0;i=m+1|0;switch(a[i>>0]|0){case 0:{k=d;i=m;break h}case 62:case 60:case 124:case 125:case 123:{k=d;break}case 32:{if(!(a[z>>0]|0))k=1;else E=55;break}default:E=55}if((E|0)==55){E=0;a[k>>0]=92;k=d;l=l|9;j=j+1|0}c[42326]=i}while(0);d=f+j|0;if(l&4|0?(a[i>>0]|0)!=32:0){E=59;break b}if(!(l&24))l=(a[i>>0]|0)==32?l:l|9;if(!(l&8))if(!(l&16))e=s;else{m=a[i>>0]|0;d=(k|0)!=0;if(!(d|m<<24>>24!=32))if((o|0)!=(f|0))if((a[o+-1>>0]|0)==32)m=o;else E=73;else m=f;else E=73;if((E|0)==73){E=0;a[o>>0]=m;m=o+1|0;i=c[42326]|0}e=d?m+-1|0:s;o=m}else{m=a[i>>0]|0;e=(k|0)!=0;if(!((!(e|m<<24>>24!=32)?(a[d+-1>>0]|0)==32:0)?(a[z>>0]|0)==0:0)){a[d>>0]=m;j=j+1|0}if(e){e=s;n=f+j+-1|0}else e=s}i=i+1|0;c[42326]=i;while(1){if((a[i>>0]|0)>=0){m=q;d=k;k=r;i=o;continue c}s=i+1|0;c[42326]=s;a[f+j>>0]=a[i>>0]|0;j=j+1|0;i=s}}}if((E|0)==22){Ky(g,r);g=0}else if((E|0)==27){Ky(g,r);g=0}else if((E|0)==34){Ky(g,r);g=0}else if((E|0)==36){Ky(g,r);g=0}else if((E|0)==38){Ky(g,r);g=0}else if((E|0)==51){c[42326]=i+1;c[g+48>>2]=m}else if((E|0)==59){Ky(g,r);g=0}else if((E|0)==78)c[g+48>>2]=q;return g|0}function Gy(b,d,e){b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+64|0;k=u+48|0;m=u+40|0;n=u+32|0;t=u+16|0;s=u;j=c[e+52>>2]|0;a:do if(!j){n=t+8|0;o=e+48|0;p=e+56|0;q=e+64|0;r=s+8|0;c[t>>2]=0;c[t+4>>2]=0;c[t+8>>2]=0;c[t+12>>2]=0;j=0;while(1){if((j|0)>=(c[o>>2]|0))break a;Gy(s,d,c[(c[p>>2]|0)+(j<<2)>>2]|0);if(!(a[q>>0]|0)){h[n>>3]=+h[n>>3]+ +h[r>>3];k=t;m=+h[t>>3]>+h[s>>3]?t:s}else{h[t>>3]=+h[t>>3]+ +h[s>>3];k=n;m=(+h[n>>3]>+h[r>>3]?t:s)+8|0}h[k>>3]=+h[m>>3];j=j+1|0}}else{g=+h[j+24>>3];f=+h[j+32>>3];if(g>0.0|f>0.0){j=Im(d,90530)|0;do if(j){c[k>>2]=m;c[k+4>>2]=n;j=cM(j,90537,k)|0;if((j|0)<=0){i=8.0;g=g+16.0;break}i=+h[m>>3]*72.0;i=+(~~(i+(i>=0.0?.5:-.5))<<1|0);g=g+i;if((j|0)!=1){i=+h[n>>3]*72.0;i=+(~~(i+(i>=0.0?.5:-.5))<<1|0)}}else{i=8.0;g=g+16.0}while(0);f=i+f}h[t>>3]=g;h[t+8>>3]=f}while(0);c[e>>2]=c[t>>2];c[e+4>>2]=c[t+4>>2];c[e+8>>2]=c[t+8>>2];c[e+12>>2]=c[t+12>>2];c[b>>2]=c[t>>2];c[b+4>>2]=c[t+4>>2];c[b+8>>2]=c[t+8>>2];c[b+12>>2]=c[t+12>>2];l=u;return}function Hy(b,d,e){b=b|0;d=d|0;e=e|0;var f=0.0,g=0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0.0,r=0.0,s=0;s=l;l=l+32|0;o=s+16|0;p=s;q=+h[d>>3];i=q-+h[b>>3];r=+h[d+8>>3];f=r-+h[b+8>>3];c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];d=c[b+52>>2]|0;if(!((e|0)!=0|(d|0)==0)){n=d+40|0;h[n>>3]=+h[n>>3]+i;n=d+48|0;h[n>>3]=+h[n>>3]+f}m=b+48|0;d=c[m>>2]|0;a:do if(d|0){n=b+64|0;f=((a[n>>0]|0)==0?f:i)/+(d|0);k=b+56|0;j=0;while(1){if((j|0)>=(d|0))break a;b=c[(c[k>>2]|0)+(j<<2)>>2]|0;g=j+1|0;d=~~(f*+(g|0))-~~(f*+(j|0))|0;if(!(a[n>>0]|0))Iy(p,q,+h[b+8>>3]+ +(d|0));else Iy(p,+h[b>>3]+ +(d|0),r);c[o>>2]=c[p>>2];c[o+4>>2]=c[p+4>>2];c[o+8>>2]=c[p+8>>2];c[o+12>>2]=c[p+12>>2];Hy(b,o,e);j=g;d=c[m>>2]|0}}while(0);l=s;return}function Iy(a,b,c){a=a|0;b=+b;c=+c;h[a>>3]=b;h[a+8>>3]=c;return}function Jy(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0,s=0.0;q=l;l=l+48|0;j=q+32|0;n=q+16|0;m=q;a[b+65>>0]=e;k=b+16|0;s=+h[d>>3];p=d+8|0;r=+h[p>>3];Iy(n,s,r-+h[b+8>>3]);c[k>>2]=c[n>>2];c[k+4>>2]=c[n+4>>2];c[k+8>>2]=c[n+8>>2];c[k+12>>2]=c[n+12>>2];k=b+32|0;Iy(m,+h[b>>3]+s,r);c[k>>2]=c[m>>2];c[k+4>>2]=c[m+4>>2];c[k+8>>2]=c[m+8>>2];c[k+12>>2]=c[m+12>>2];k=c[b+48>>2]|0;m=k+-1|0;n=(e|0)==0;o=b+56|0;i=b+64|0;g=0;while(1){if((g|0)>=(k|0))break;do if(!n){b=(g|0)==0;f=(g|0)==(m|0);if(!(a[i>>0]|0))if(b){b=f?15:14;break}else{b=f?11:10;break}else if(b){b=f?15:13;break}else{b=f?7:5;break}}else b=0;while(0);f=c[(c[o>>2]|0)+(g<<2)>>2]|0;c[j>>2]=c[d>>2];c[j+4>>2]=c[d+4>>2];c[j+8>>2]=c[d+8>>2];c[j+12>>2]=c[d+12>>2];Jy(f,j,b&e);if(!(a[i>>0]|0))h[p>>3]=+h[p>>3]-+h[(c[(c[o>>2]|0)+(g<<2)>>2]|0)+8>>3];else h[d>>3]=+h[c[(c[o>>2]|0)+(g<<2)>>2]>>3]+ +h[d>>3];g=g+1|0}l=q;return}function Ky(a,b){a=a|0;b=b|0;Ly(a);_I(b);return}function Ly(a){a=a|0;var b=0,d=0,e=0;d=a+48|0;e=a+56|0;b=0;while(1){if((b|0)>=(c[d>>2]|0))break;Ly(c[(c[e>>2]|0)+(b<<2)>>2]|0);b=b+1|0}_I(c[a+60>>2]|0);ow(c[a+52>>2]|0);_I(c[e>>2]|0);_I(a);return}function My(a){a=a|0;var b=0.0,d=0.0;d=+EA(a,c[42190]|0,0.0,.01);b=+EA(a,c[42189]|0,0.0,.02);b=(d>b?d:b)*72.0;return +(+(~~(b+(b>=0.0?.5:-.5))|0))}function Ny(a,b){a=+a;b=+b;var c=0;c=~~(a/b);return +(+((+(c|0)*b+1.0e-05<a&1)+c|0)*b)}function Oy(a){a=a|0;a=c[(c[a+16>>2]|0)+8>>2]|0;if(!a)a=0;else a=(c[c[a+4>>2]>>2]|0)==75&1;return a|0}function Py(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;f=c[42327]|0;a:do if(!f)d=0;else{g=c[42328]|0;e=0;while(1){if((e|0)>=(g|0)){d=0;break a}d=c[f+(e<<2)>>2]|0;h=c[d>>2]|0;if((a[h>>0]|0)==(a[b>>0]|0)?(xJ(h,b)|0)==0:0)break a;e=e+1|0}}while(0);return d|0}function Qy(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;if(RA(Im(d,90560)|0)|0)if((a[b>>0]|0)==101?(xJ(b,90725)|0)==0:0){d=101;g=6}else{b=90553;g=4}else g=4;if((g|0)==4){d=a[b>>0]|0;if(d<<24>>24==99)if(!(xJ(b,90553)|0))g=11;else{d=99;g=6}else g=6}a:do if((g|0)==6){e=19868;while(1){f=c[e>>2]|0;if(!f){g=11;break a}if((a[f>>0]|0)==d<<24>>24?(xJ(f,b)|0)==0:0){b=e;break a}e=e+16|0}}while(0);if((g|0)==11)b=Ry(b)|0;return b|0}function Ry(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;h=l;l=l+16|0;g=h;d=Py(b)|0;if(!d){f=c[42328]|0;d=f+1|0;c[42328]=d;e=c[42327]|0;if(!e)d=ww(d<<2)|0;else d=yw(e,d<<2)|0;c[42327]=d;d=vw(16)|0;c[(c[42327]|0)+(f<<2)>>2]=d;c[d>>2]=c[4967];c[d+4>>2]=c[4968];c[d+8>>2]=c[4969];c[d+12>>2]=c[4970];e=GL(b)|0;c[d>>2]=e;do if(!0){if((a[b>>0]|0)==99?(xJ(b,90553)|0)==0:0){e=1;break}c[g>>2]=c[4967];c[g+4>>2]=e;_l(0,90730,g)|0;e=0}else e=1;while(0);a[d+12>>0]=e}l=h;return d|0}function Sy(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;d=+h[b>>3]*.5257311121191336;c=+h[b+8>>3]*.8944271909999159;c=d>c?d:c;h[a>>3]=c*4.97979656976556;h[a+8>>3]=c*4.73606797749979;return}function Ty(a,b){a=a|0;b=b|0;var c=0.0,d=0.0,e=0.0,f=0,g=0.0,i=0.0,j=0.0,k=0,l=0,m=0.0;d=+h[b>>3];k=b+8|0;e=+h[k>>3];c=e/d;if(!(c>.9510565162951536))if(c<.9510565162951536){j=d;e=d*.9510565162951536}else j=d;else j=e*1.0514622242382672;d=j*.5257311121191336;g=j*.20081141588622725;i=j*.05020285397155681;c=.3141592653589793;f=0;while(1){if((f|0)>=10)break;h[a+(f<<4)>>3]=+E(+c)*d;h[a+(f<<4)+8>>3]=+F(+c)*d-i;m=c+.6283185307179586;l=f|1;h[a+(l<<4)>>3]=+E(+m)*g;h[a+(l<<4)+8>>3]=+F(+m)*g-i;c=c+1.2566370614359172;f=f+2|0}h[b>>3]=j;h[k>>3]=e;return}function Uy(a){a=a|0;a=c[(c[a+16>>2]|0)+12>>2]|0;if(a|0){_I(c[a+44>>2]|0);_I(a)}return}function Vy(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+80|0;k=o+40|0;g=o;n=o+64|0;h=o+56|0;if(!(a[e>>0]|0)){g=4144;h=b+40|0;do{c[b>>2]=c[g>>2];b=b+4|0;g=g+4|0}while((b|0)<(h|0))}else{i=(f|0)==0?91400:f;c[n>>2]=15;j=d+16|0;f=c[j>>2]|0;do if(a[(c[f+104>>2]|0)+82>>0]|0){f=HF(d,e,n)|0;if(!f){f=c[j>>2]|0;m=8;break}if(hz(d,f,g,i,c[n>>2]|0,0)|0){c[k>>2]=Dn(d)|0;c[k+4>>2]=e;c[k+8>>2]=i;_l(0,91402,k)|0}}else m=8;while(0);if((m|0)==8){if((c[(c[f+8>>2]|0)+8>>2]|0)==1600)h=0;else{c[h>>2]=d;c[h+4>>2]=0}if(hz(d,0,g,e,c[n>>2]|0,h)|0)iz(d,e)}c[g+36>>2]=0;h=b+40|0;do{c[b>>2]=c[g>>2];b=b+4|0;g=g+4|0}while((b|0)<(h|0))}l=o;return}function Wy(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0,g=0,i=0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0.0,t=0;r=l;l=l+112|0;n=r+96|0;m=r+80|0;p=r+64|0;k=r+48|0;q=r+32|0;o=r;f=r+16|0;if(!a){c[42331]=0;a=0}else{g=c[a+4>>2]|0;a=c[a>>2]|0;i=(c[(c[(ro(a)|0)+16>>2]|0)+116>>2]&3)*90|0;c[n>>2]=c[b>>2];c[n+4>>2]=c[b+4>>2];c[n+8>>2]=c[b+8>>2];c[n+12>>2]=c[b+12>>2];aw(f,n,i);c[q>>2]=c[f>>2];c[q+4>>2]=c[f+4>>2];c[q+8>>2]=c[f+8>>2];c[q+12>>2]=c[f+12>>2];a:do if(g){d=+h[g+8>>3];e=+h[g+24>>3];s=+h[q>>3];if((+h[g>>3]<=s?s<=+h[g+16>>3]:0)?(j=+h[q+8>>3],d<=j):0)a=j<=e&1;else a=0}else{if((a|0)==(c[42331]|0)){f=c[42332]|0;g=c[42334]|0;i=c[42333]|0}else{g=c[(c[a+16>>2]|0)+12>>2]|0;c[42335]=g;i=c[g+44>>2]|0;c[42333]=i;f=c[g+8>>2]|0;c[42332]=f;g=O((c[g+4>>2]|0)+-1|0,f)|0;g=(g|0)>0?g:0;c[42334]=g;c[42331]=a}a=0;b=0;while(1){if((a|0)>=(f|0)){a=1;break a}t=i+(g+a<<4)|0;c[o>>2]=c[t>>2];c[o+4>>2]=c[t+4>>2];c[o+8>>2]=c[t+8>>2];c[o+12>>2]=c[t+12>>2];t=i+(g+((a+4|0)%(f|0)|0)<<4)|0;c[k>>2]=c[q>>2];c[k+4>>2]=c[q+4>>2];c[k+8>>2]=c[q+8>>2];c[k+12>>2]=c[q+12>>2];c[p>>2]=c[41802];c[p+4>>2]=c[41803];c[p+8>>2]=c[41804];c[p+12>>2]=c[41805];c[m>>2]=c[o>>2];c[m+4>>2]=c[o+4>>2];c[m+8>>2]=c[o+8>>2];c[m+12>>2]=c[o+12>>2];c[n>>2]=c[t>>2];c[n+4>>2]=c[t+4>>2];c[n+8>>2]=c[t+8>>2];c[n+12>>2]=c[t+12>>2];b=b+((gz(k,p,m,n)|0)==0&1)|0;if((b|0)==2){a=0;break}else a=a+2|0}}while(0)}l=r;return a|0}function Xy(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;e=c[b+16>>2]|0;if((a[(c[e+104>>2]|0)+82>>0]|0)!=0?(a[e+145>>0]|0)!=0:0)b=KF(b,d,0,f,g)|0;else b=0;return b|0}function Yy(e,f){e=e|0;f=f|0;var i=0,j=0,k=0.0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0.0,C=0.0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,P=0,Q=0,R=0;P=l;l=l+48|0;H=P+24|0;G=P+16|0;A=P+8|0;z=P;L=P+32|0;n=P+28|0;M=c[e+16>>2]|0;N=M+208|0;i=c[N>>2]|0;if((i|0)==0?(b[M+260>>1]&1)==0:0)J=0;else E=4;if((E|0)==4)if(!(c[e+152>>2]&4)){wD(e,i,c[M+228>>2]|0,c[M+244>>2]|0,c[M+212>>2]|0);J=1}else J=1;I=f+16|0;i=c[I>>2]|0;r=c[i+12>>2]|0;F=c[r+44>>2]|0;K=c[r+8>>2]|0;r=c[r+4>>2]|0;if((c[42329]|0)<(K|0)){i=K+5|0;c[42329]=i;j=c[42330]|0;if(!j)i=ww(i<<4)|0;else i=yw(j,i<<4)|0;c[42330]=i;i=c[I>>2]|0}D=(c[i+104>>2]|0)+56|0;i=i+16|0;c[D>>2]=c[i>>2];c[D+4>>2]=c[i+4>>2];c[D+8>>2]=c[i+8>>2];c[D+12>>2]=c[i+12>>2];D=c[I>>2]|0;B=+h[D+32>>3]*72.0;B=(+h[D+96>>3]+ +h[D+88>>3])/+(~~(B+(B>=0.0?.5:-.5))|0);C=+h[D+40>>3]*72.0;C=+h[D+80>>3]/+(~~(C+(C>=0.0?.5:-.5))|0);D=Zy(e,f)|0;c[L>>2]=0;i=d[(c[I>>2]|0)+117>>0]|0;do if(!(i&1)){if(i&2|0){s=GA(f,0,91300)|0;BD(e,s);DD(e,GA(f,0,91308)|0);j=0;i=1;break}if(i&8|0){s=GA(f,0,91316)|0;BD(e,s);DD(e,GA(f,0,91324)|0);j=0;i=1;break}if(i&4|0){s=GA(f,0,91332)|0;BD(e,s);DD(e,GA(f,0,91340)|0);j=0;i=1;break}if(!(D&1))if(!(D&576)){j=0;i=0}else{j=_y(f)|0;i=1}else{j=_y(f)|0;if(!((xv(j,L,n)|0)<<24>>24)){DD(e,j);i=1}else{DD(e,c[L>>2]|0);i=c[L+4>>2]|0;m=DA(f,c[42217]|0,0,0)|0;k=+g[n>>2];if(!i)ED(e,122106,m,k);else ED(e,i,m,k);i=(D&2)>>>1|2}}s=$y(e,f)|0}else{s=GA(f,0,91284)|0;BD(e,s);DD(e,GA(f,0,91292)|0);j=0;i=1}while(0);m=c[(c[I>>2]|0)+8>>2]|0;if(a[m+12>>0]|0){m=c[m>>2]|0;if((a[m>>0]|0)==99){m=(xJ(m,90553)|0)==0;E=33}else u=1}else{m=1;E=33}if((E|0)==33){m=m^1;if((r|0)!=0|i<<24>>24==0|m)u=m;else{BD(e,122171);r=1;u=0}}v=(K|0)<3;w=(D&512|0)!=0;y=(D&8|0)==0;x=(D&64|0)==0;p=(D&1024|0)==0;q=(D&2130706444|0)==0;t=0;while(1){if((t|0)>=(r|0))break;n=O(t,K)|0;o=c[42330]|0;m=0;while(1){if((m|0)>=(K|0))break;R=m+n|0;k=+h[F+(R<<4)+8>>3];Q=c[I>>2]|0;h[o+(m<<4)>>3]=+h[Q+16>>3]+ +h[F+(R<<4)>>3]*B;h[o+(m<<4)+8>>3]=+h[Q+24>>3]+k*C;m=m+1|0}do if(v){if(w&(t|0)==0?(WJ(j,58)|0)!=0:0)if((_t(e,o,j)|0)>1){c[z>>2]=Dn(f)|0;_l(3,91348,z)|0;i=0}else i=0;GD(e,c[42330]|0,K,i&255);if(!y)az(e,f)}else{if(!x){if((t|0)==0?(cu(e,o,j,1)|0)>1:0){c[A>>2]=Dn(f)|0;_l(3,91348,A)|0}HD(e,c[42330]|0,K,0);break}if(!p){BD(e,122171);HD(e,c[42330]|0,K,i&255);BD(e,s);KD(e,(c[42330]|0)+32|0,2);break}i=i&255;if(q){HD(e,o,K,i);break}else{yy(e,o,K,D,i);break}}while(0);t=t+1|0;i=0}m=c[(c[I>>2]|0)+8>>2]|0;if(!(a[m+12>>0]|0)){m=Im(f,93847)|0;if(m|0?a[m>>0]|0:0){o=m;E=65}}else{m=c[m>>2]|0;if((a[m>>0]|0)==99?(xJ(m,90553)|0)==0:0){m=Im(f,90560)|0;if(m|0?a[m>>0]|0:0){o=m;E=65}}else{o=m;E=65}}if((E|0)==65){n=c[42330]|0;m=0;while(1){if((m|0)>=(K|0))break;k=+h[F+(m<<4)+8>>3];R=c[I>>2]|0;h[n+(m<<4)>>3]=+h[R+16>>3]+ +h[F+(m<<4)>>3]*B;h[n+(m<<4)+8>>3]=+h[R+24>>3]+k*C;m=m+1|0}m=i&255;do if(!(u|i<<24>>24==0)){if(v){if(w&(t|0)==0?(WJ(j,58)|0)!=0:0)if((_t(e,n,j)|0)>1){c[G>>2]=Dn(f)|0;_l(3,91348,G)|0;i=0}else i=0;GD(e,c[42330]|0,K,i&255);if(y)break;az(e,f);break}if(x)if(!(D&12)){HD(e,n,K,m);break}else{yy(e,n,K,D,m);break}else{if((cu(e,n,j,1)|0)>1){c[H>>2]=Dn(f)|0;_l(3,91348,H)|0}HD(e,c[42330]|0,K,0);break}}while(0);R=c[42330]|0;MD(e,o,R,K,i,FA(f,c[42210]|0,122100)|0)}_I(c[L>>2]|0);pw(e,10,c[(c[I>>2]|0)+104>>2]|0);if(J){if(c[e+152>>2]&4|0)wD(e,c[N>>2]|0,c[M+228>>2]|0,c[M+244>>2]|0,c[M+212>>2]|0);xD(e)}l=P;return}function Zy(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0;h=l;l=l+16|0;f=h;e=dz(d,f)|0;if(e|0)FD(b,e);e=c[42216]|0;if((e|0?(g=Jm(d,e)|0,g|0):0)?a[g>>0]|0:0)OD(b,+EA(d,c[42216]|0,1.0,0.0));l=h;return c[f>>2]|0}function _y(a){a=a|0;return cz(a,119592)|0}function $y(b,d){b=b|0;d=d|0;d=GA(d,c[42192]|0,174181)|0;d=a[d>>0]|0?d:122106;BD(b,d);return d|0}function az(a,b){a=a|0;b=b|0;var d=0,e=0,f=0.0,g=0,i=0.0,j=0,k=0,m=0;d=l;l=l+96|0;j=d+80|0;k=d+64|0;e=d+32|0;m=d+16|0;g=d;b=c[b+16>>2]|0;f=+h[b+80>>3];h[m+8>>3]=f*.375;i=+h[b+96>>3];h[m>>3]=i*.6614;b=b+16|0;c[k>>2]=c[m>>2];c[k+4>>2]=c[m+4>>2];c[k+8>>2]=c[m+8>>2];c[k+12>>2]=c[m+12>>2];c[j>>2]=c[b>>2];c[j+4>>2]=c[b+4>>2];c[j+8>>2]=c[b+8>>2];c[j+12>>2]=c[b+12>>2];bz(g,k,j);c[e>>2]=c[g>>2];c[e+4>>2]=c[g+4>>2];c[e+8>>2]=c[g+8>>2];c[e+12>>2]=c[g+12>>2];g=e+8|0;b=e+24|0;h[b>>3]=+h[g>>3];h[e+16>>3]=+h[e>>3]-i*1.3228;KD(a,e,2);f=+h[g>>3]-f*.75;h[g>>3]=f;h[b>>3]=f;KD(a,e,2);l=d;return}function bz(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=+h[c+8>>3]+ +h[b+8>>3];h[a>>3]=+h[c>>3]+ +h[b>>3];h[a+8>>3]=d;return}function cz(b,d){b=b|0;d=d|0;var e=0;e=GA(b,c[42193]|0,174181)|0;if(!(a[e>>0]|0)){e=GA(b,c[42192]|0,174181)|0;return ((a[e>>0]|0)==0?d:e)|0}else return e|0;return 0}function dz(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0;e=GA(b,c[42201]|0,174181)|0;a:do if(!(a[e>>0]|0)){g=0;e=0}else{g=Du(e)|0;h=g;e=0;b:while(1){f=c[h>>2]|0;if(!f)break a;switch(a[f>>0]|0){case 102:{if(!(xJ(f,95923)|0)){h=h+4|0;e=e|1;continue b}break}case 114:{if(!(xJ(f,91360)|0)){f=h;do{j=f;f=f+4|0;i=c[f>>2]|0;c[j>>2]=i}while((i|0)!=0);j=h;e=e|4;h=j;continue b}if(!(xJ(f,91378)|0)){f=h;do{i=f;f=f+4|0;j=c[f>>2]|0;c[i>>2]=j}while((j|0)!=0);j=h;e=e|3;h=j;continue b}break}case 100:{if(!(xJ(f,91368)|0)){f=h;do{i=f;f=f+4|0;j=c[f>>2]|0;c[i>>2]=j}while((j|0)!=0);j=h;e=e|8;h=j;continue b}break}case 105:{if(!(xJ(f,119127)|0)){h=h+4|0;e=e|32;continue b}break}case 115:{if((xJ(f,91385)|0)==0?ez(b)|0:0){f=h;do{i=f;f=f+4|0;j=c[f>>2]|0;c[i>>2]=j}while((j|0)!=0);j=h;e=e|64;h=j;continue b}break}case 119:{if((xJ(f,91393)|0)==0?fz(b)|0:0){f=h;do{i=f;f=f+4|0;j=c[f>>2]|0;c[i>>2]=j}while((j|0)!=0);j=h;e=e|512;h=j;continue b}break}default:{}}h=h+4|0}}while(0);f=c[(c[(c[b+16>>2]|0)+8>>2]|0)+8>>2]|0;if(f)e=c[f+40>>2]|e;c[d>>2]=e;return g|0}function ez(a){a=a|0;var b=0.0;a=c[(c[(c[a+16>>2]|0)+8>>2]|0)+8>>2]|0;if((((a|0)!=0?(c[a+8>>2]|0)==4:0)?(b=+h[a+16>>3],((~~(b+(b>=0.0?.5:-.5))|0)%90|0|0)==0):0)?+h[a+24>>3]==0.0:0)a=+h[a+32>>3]==0.0&1;else a=0;return a|0}function fz(a){a=a|0;a=c[(c[(c[a+16>>2]|0)+8>>2]|0)+8>>2]|0;if(!a)a=0;else a=(c[a+8>>2]|0)<3&1;return a|0}function gz(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0.0,f=0.0,g=0.0,i=0.0;i=+h[c+8>>3];g=-(+h[d+8>>3]-i);f=+h[c>>3];e=+h[d>>3]-f;f=e*i+f*g;return (+h[a+8>>3]*e+ +h[a>>3]*g-f>=0.0^+h[b>>3]*g-f+ +h[b+8>>3]*e>=0.0^1)&1|0}function hz(b,d,e,f,g,i){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0.0,k=0.0,m=0,n=0,o=0,p=0,q=0.0,r=0.0,s=0.0,t=0.0,u=0.0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0;G=l;l=l+192|0;B=G+176|0;E=G+160|0;m=G+144|0;z=G+128|0;A=G+112|0;n=G+96|0;o=G+80|0;p=G+64|0;v=G+48|0;w=G+32|0;x=G+16|0;D=G;if(!d){c[E>>2]=0;c[E+4>>2]=0;c[E+8>>2]=0;c[E+12>>2]=0;m=(c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&1|0)==0;C=c[b+16>>2]|0;q=+h[C+80>>3]*.5;j=+h[C+88>>3];t=m?q:j;q=m?j:q;m=0;C=E;j=0.0;k=-q;r=t;F=E+8|0;s=0.0;t=-t}else{k=+h[d>>3];t=+h[d+8>>3];q=+h[d+16>>3];r=+h[d+24>>3];Iy(m,(q+k)*.5,(r+t)*.5);c[E>>2]=c[m>>2];c[E+4>>2]=c[m+4>>2];c[E+8>>2]=c[m+8>>2];c[E+12>>2]=c[m+12>>2];H=E+8|0;m=1;C=E;j=+h[E>>3];F=H;s=+h[H>>3]}u=(q>r?q:r)*4.0;a:do if((f|0)!=0?(y=a[f>>0]|0,y<<24>>24!=0):0){f=f+1|0;switch(y<<24>>24|0){case 99:{p=1;g=0;f=0;n=0;j=0.0;o=0;break a}case 101:{if(a[f>>0]|0){p=1;g=0;f=0;n=0;j=0.0;o=1;break a}if(!i)h[C>>3]=q;else{jz(z,i,s,u);c[E>>2]=c[z>>2];c[E+4>>2]=c[z+4>>2];c[E+8>>2]=c[z+8>>2];c[E+12>>2]=c[z+12>>2]}p=0;g=g&2;f=0;n=1;j=0.0;o=0;m=1;break a}case 115:{h[F>>3]=t;switch(a[f>>0]|0){case 0:{if(!i)h[C>>3]=j;else{jz(A,i,-u,j);c[E>>2]=c[A>>2];c[E+4>>2]=c[A+4>>2];c[E+8>>2]=c[A+8>>2];c[E+12>>2]=c[A+12>>2]}p=0;g=g&1;f=0;n=1;j=-1.5707963267948966;o=0;m=1;break a}case 101:{if(!i)h[C>>3]=q;else{jz(n,i,-u,u);c[E>>2]=c[n>>2];c[E+4>>2]=c[n+4>>2];c[E+8>>2]=c[n+8>>2];c[E+12>>2]=c[n+12>>2]}p=0;g=g&3;f=0;n=1;j=-.7853981633974483;o=0;m=1;break a}case 119:{if(!i)h[C>>3]=k;else{u=-u;jz(o,i,u,u);c[E>>2]=c[o>>2];c[E+4>>2]=c[o+4>>2];c[E+8>>2]=c[o+8>>2];c[E+12>>2]=c[o+12>>2]}p=0;g=g&9;f=0;n=1;j=-2.356194490192345;o=0;m=1;break a}default:{h[F>>3]=s;p=1;g=0;f=0;n=0;j=0.0;o=1;break a}}}case 119:{if(a[f>>0]|0){p=1;g=0;f=0;n=0;j=0.0;o=1;break a}if(!i)h[C>>3]=k;else{jz(p,i,s,-u);c[E>>2]=c[p>>2];c[E+4>>2]=c[p+4>>2];c[E+8>>2]=c[p+8>>2];c[E+12>>2]=c[p+12>>2]}p=0;g=g&8;f=0;n=1;j=3.141592653589793;o=0;m=1;break a}case 110:{h[F>>3]=r;switch(a[f>>0]|0){case 0:{if(!i)h[C>>3]=j;else{jz(v,i,u,j);c[E>>2]=c[v>>2];c[E+4>>2]=c[v+4>>2];c[E+8>>2]=c[v+8>>2];c[E+12>>2]=c[v+12>>2]}p=0;g=g&4;f=0;n=1;j=1.5707963267948966;o=0;m=1;break a}case 101:{if(!i)h[C>>3]=q;else{jz(w,i,u,u);c[E>>2]=c[w>>2];c[E+4>>2]=c[w+4>>2];c[E+8>>2]=c[w+8>>2];c[E+12>>2]=c[w+12>>2]}p=0;g=g&6;f=0;n=1;j=.7853981633974483;o=0;m=1;break a}case 119:{if(!i)h[C>>3]=k;else{jz(x,i,u,-u);c[E>>2]=c[x>>2];c[E+4>>2]=c[x+4>>2];c[E+8>>2]=c[x+8>>2];c[E+12>>2]=c[x+12>>2]}p=0;g=g&12;f=0;n=1;j=2.356194490192345;o=0;m=1;break a}default:{h[F>>3]=s;p=1;g=0;f=0;n=0;j=0.0;o=1;break a}}}case 95:{p=1;f=1;n=0;j=0.0;o=0;break a}default:{p=1;g=0;f=0;n=0;j=0.0;o=1;break a}}}else{p=1;g=0;f=0;n=0;j=0.0;o=0}while(0);H=(c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&3)*90|0;c[B>>2]=c[E>>2];c[B+4>>2]=c[E+4>>2];c[B+8>>2]=c[E+8>>2];c[B+12>>2]=c[E+12>>2];$v(D,B,H);c[E>>2]=c[D>>2];c[E+4>>2]=c[D+4>>2];c[E+8>>2]=c[D+8>>2];c[E+12>>2]=c[D+12>>2];if(!(f<<24>>24))g=kz(g,c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&3)|0;a[e+33>>0]=g;c[e+24>>2]=d;k=+h[C>>3];h[e>>3]=+(~~(k+(k>=0.0?.5:-.5))|0);k=+h[F>>3];h[e+8>>3]=+(~~(k+(k>=0.0?.5:-.5))|0);h[e+16>>3]=+lz(j,c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&3);k=+h[C>>3];j=+h[F>>3];if(k==0.0&j==0.0)g=-128;else{u=+K(+j,+k);t=u+4.71238898038469;g=~~((!(t>=6.283185307179586)?t:u+-1.5707963267948966)*40.74366543152521)&255}a[e+32>>0]=g;a[e+29>>0]=n;a[e+28>>0]=m;a[e+30>>0]=p;a[e+31>>0]=f;l=G;return o|0}function iz(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=Dn(a)|0;c[e+4>>2]=b;_l(0,91463,e)|0;l=d;return}function jz(a,b,d,e){a=a|0;b=b|0;d=+d;e=+e;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;p=l;l=l+128|0;g=p+112|0;j=p+48|0;k=p+16|0;m=p+32|0;n=p;o=c[b>>2]|0;i=c[(c[(ro(o)|0)+16>>2]|0)+116>>2]&3;h[k>>3]=e;h[k+8>>3]=d;f=(i|0)!=0;if(f){c[g>>2]=c[k>>2];c[g+4>>2]=c[k+4>>2];c[g+8>>2]=c[k+8>>2];c[g+12>>2]=c[k+12>>2];$v(m,g,i*90|0);c[k>>2]=c[m>>2];c[k+4>>2]=c[m+4>>2];c[k+8>>2]=c[m+8>>2];c[k+12>>2]=c[m+12>>2]}m=j+48|0;q=j+32|0;c[j>>2]=0;c[j+4>>2]=0;c[j+8>>2]=0;c[j+12>>2]=0;c[j+16>>2]=0;c[j+20>>2]=0;c[j+24>>2]=0;c[j+28>>2]=0;c[q>>2]=c[k>>2];c[q+4>>2]=c[k+4>>2];c[q+8>>2]=c[k+8>>2];c[q+12>>2]=c[k+12>>2];c[m>>2]=c[k>>2];c[m+4>>2]=c[k+4>>2];c[m+8>>2]=c[k+8>>2];c[m+12>>2]=c[k+12>>2];Fz(b,c[(c[(c[(c[o+16>>2]|0)+8>>2]|0)+4>>2]|0)+12>>2]|0,j,1);if(f){c[g>>2]=c[j>>2];c[g+4>>2]=c[j+4>>2];c[g+8>>2]=c[j+8>>2];c[g+12>>2]=c[j+12>>2];aw(n,g,i*90|0);c[j>>2]=c[n>>2];c[j+4>>2]=c[n+4>>2];c[j+8>>2]=c[n+8>>2];c[j+12>>2]=c[n+12>>2]};c[a>>2]=c[j>>2];c[a+4>>2]=c[j+4>>2];c[a+8>>2]=c[j+8>>2];c[a+12>>2]=c[j+12>>2];l=p;return}function kz(a,b){a=a|0;b=b|0;a:do switch(b|0){case 3:switch(a|0){case 4:{a=2;break a}case 1:{a=8;break a}case 8:{a=1;break a}case 2:{a=4;break a}default:break a}case 2:switch(a|0){case 4:{a=1;break a}case 1:{a=4;break a}default:break a}case 1:switch(a|0){case 4:{a=2;break a}case 1:{a=8;break a}case 8:{a=4;break a}case 2:{a=1;break a}default:break a}default:{}}while(0);return a|0}function lz(a,b){a=+a;b=b|0;switch(b|0){case 3:{if(!(a==3.141592653589793))if(!(a==2.356194490192345))if(!(a==1.5707963267948966))if(!(a==0.0))if(!(a==-.7853981633974483)){if(a==-1.5707963267948966)a=3.141592653589793}else a=2.356194490192345;else a=1.5707963267948966;else a=0.0;else a=-.7853981633974483;else a=-1.5707963267948966;break}case 2:{a=-a;break}case 1:{a=a+-1.5707963267948966;break}default:{}}return +a}function mz(a,b){a=a|0;b=b|0;var d=0.0,e=0,f=0.0,g=0.0,i=0,j=0,k=0;e=l;l=l+32|0;k=e+16|0;i=e;a=c[a>>2]|0;j=(c[(c[(ro(a)|0)+16>>2]|0)+116>>2]&3)*90|0;c[k>>2]=c[b>>2];c[k+4>>2]=c[b+4>>2];c[k+8>>2]=c[b+8>>2];c[k+12>>2]=c[b+12>>2];aw(i,k,j);d=+h[i>>3];g=+h[i+8>>3];a=c[a+16>>2]|0;f=+h[a+80>>3]*.5;if(!(!(g>=-f)|!(g<=f))?d>=-+h[a+88>>3]:0)a=d<=+h[a+96>>3]&1;else a=0;l=e;return a|0}function nz(a,d){a=a|0;d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0.0;n=l;l=l+32|0;m=n;i=c[a+16>>2]|0;j=i+208|0;g=c[j>>2]|0;if(!g)k=(b[i+260>>1]&1)!=0;else k=1;e=d+16|0;d=c[e>>2]|0;f=c[d+12>>2]|0;if(f|0){if(k?(c[a+152>>2]&4|0)==0:0){wD(a,g,c[i+228>>2]|0,c[i+244>>2]|0,c[i+212>>2]|0);d=c[e>>2]|0}g=c[a+36>>2]|0;p=+h[d+24>>3]+ +(c[f+8>>2]|0);o=c[f>>2]|0;h[m>>3]=+h[d+16>>3]+ +(c[f+4>>2]|0);h[m+8>>3]=p;c[m+16>>2]=o;zL(g,91494,m)|0;g=c[e>>2]|0;m=(c[g+104>>2]|0)+56|0;g=g+16|0;c[m>>2]=c[g>>2];c[m+4>>2]=c[g+4>>2];c[m+8>>2]=c[g+8>>2];c[m+12>>2]=c[g+12>>2];pw(a,10,c[(c[e>>2]|0)+104>>2]|0);if(k){if(c[a+152>>2]&4|0)wD(a,c[j>>2]|0,c[i+228>>2]|0,c[i+244>>2]|0,c[i+212>>2]|0);xD(a)}}l=n;return}function oz(a){a=a|0;Ly(c[(c[a+16>>2]|0)+12>>2]|0);return}function pz(b,e,f,g){b=b|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,m=0;m=l;l=l+64|0;k=m+40|0;h=m;if(!(a[f>>0]|0)){h=4144;g=b+40|0;do{c[b>>2]=c[h>>2];b=b+4|0;h=h+4|0}while((b|0)<(g|0))}else{g=(g|0)==0?91400:g;i=c[(c[e+16>>2]|0)+12>>2]|0;j=vz(i,f)|0;if(!j){if(hz(e,i+16|0,h,f,15,0)|0)iz(e,f)}else if(hz(e,j+16|0,h,g,d[j+65>>0]|0,0)|0){c[k>>2]=Dn(e)|0;c[k+4>>2]=f;c[k+8>>2]=g;_l(0,91402,k)|0}g=b+40|0;do{c[b>>2]=c[h>>2];b=b+4|0;h=h+4|0}while((b|0)<(g|0))}l=m;return}function qz(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0,g=0,i=0,j=0.0,k=0,m=0,n=0.0;k=l;l=l+32|0;m=k+16|0;i=k;f=c[a+4>>2]|0;a=c[a>>2]|0;g=(c[(c[(ro(a)|0)+16>>2]|0)+116>>2]&3)*90|0;c[m>>2]=c[b>>2];c[m+4>>2]=c[b+4>>2];c[m+8>>2]=c[b+8>>2];c[m+12>>2]=c[b+12>>2];aw(i,m,g);c[b>>2]=c[i>>2];c[b+4>>2]=c[i+4>>2];c[b+8>>2]=c[i+8>>2];c[b+12>>2]=c[i+12>>2];if(!f){f=c[(c[a+16>>2]|0)+12>>2]|0;g=f+16|0;a=f+24|0;i=f+32|0;f=f+40|0}else{g=f;a=f+8|0;i=f+16|0;f=f+24|0}e=+h[a>>3];d=+h[f>>3];n=+h[b>>3];if((+h[g>>3]<=n?n<=+h[i>>3]:0)?(j=+h[b+8>>3],e<=j):0)a=j<=d&1;else a=0;l=k;return a|0}function rz(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0.0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0.0,t=0,u=0,v=0.0;u=l;l=l+80|0;r=u+64|0;q=u+32|0;t=u;a:do if(!(a[d+28>>0]|0))e=0;else{i=+h[d>>3];p=b+16|0;m=c[(c[p>>2]|0)+12>>2]|0;k=m+48|0;m=m+56|0;d=0;while(1){if((d|0)>=(c[k>>2]|0))break a;n=(c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&1|0)==0;o=c[(c[m>>2]|0)+(d<<2)>>2]|0;j=+(~~+h[(n?o+16|0:o+24|0)>>3]|0);if(i>=j?(s=+(~~+h[(n?o+32|0:o+40|0)>>3]|0),i<=s):0)break;d=d+1|0}if(!(c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&1)){t=c[p>>2]|0;v=+h[t+16>>3];h[f>>3]=v+j;j=+h[t+24>>3];i=+h[t+80>>3];h[f+8>>3]=j-i*.5;h[f+16>>3]=v+s}else{o=(c[(c[m>>2]|0)+(d<<2)>>2]|0)+16|0;b=(c[p>>2]|0)+16|0;c[q>>2]=c[o>>2];c[q+4>>2]=c[o+4>>2];c[q+8>>2]=c[o+8>>2];c[q+12>>2]=c[o+12>>2];c[q+16>>2]=c[o+16>>2];c[q+20>>2]=c[o+20>>2];c[q+24>>2]=c[o+24>>2];c[q+28>>2]=c[o+28>>2];c[r>>2]=c[b>>2];c[r+4>>2]=c[b+4>>2];c[r+8>>2]=c[b+8>>2];c[r+12>>2]=c[b+12>>2];bw(t,q,r);c[f>>2]=c[t>>2];c[f+4>>2]=c[t+4>>2];c[f+8>>2]=c[t+8>>2];c[f+12>>2]=c[t+12>>2];c[f+16>>2]=c[t+16>>2];c[f+20>>2]=c[t+20>>2];c[f+24>>2]=c[t+24>>2];c[f+28>>2]=c[t+28>>2];t=c[p>>2]|0;i=+h[t+80>>3];j=+h[t+24>>3]}h[f+24>>3]=i*.5+j;c[g>>2]=1}while(0);l=u;return e|0}function sz(d,e){d=d|0;e=e|0;var f=0,i=0,j=0,k=0.0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0.0;w=l;l=l+144|0;n=w+96|0;p=w+64|0;r=w;s=w+128|0;t=c[d+16>>2]|0;u=t+208|0;f=c[u>>2]|0;if(!f)v=(b[t+260>>1]&1)!=0;else v=1;m=e+16|0;q=c[m>>2]|0;o=c[q+12>>2]|0;j=o+16|0;c[p>>2]=c[j>>2];c[p+4>>2]=c[j+4>>2];c[p+8>>2]=c[j+8>>2];c[p+12>>2]=c[j+12>>2];c[p+16>>2]=c[j+16>>2];c[p+20>>2]=c[j+20>>2];c[p+24>>2]=c[j+24>>2];c[p+28>>2]=c[j+28>>2];x=+h[q+16>>3];h[p>>3]=+h[p>>3]+x;k=+h[q+24>>3];q=p+8|0;h[q>>3]=+h[q>>3]+k;q=p+16|0;h[q>>3]=+h[q>>3]+x;j=p+24|0;h[j>>3]=+h[j>>3]+k;if(v?(c[d+152>>2]&4|0)==0:0)wD(d,f,c[t+228>>2]|0,c[t+244>>2]|0,c[t+212>>2]|0);f=Zy(d,e)|0;$y(d,e)|0;c[s>>2]=0;if(!(f&1))i=0;else{i=_y(e)|0;if(!((xv(i,s,n)|0)<<24>>24)){DD(d,i);i=1}else{DD(d,c[s>>2]|0);i=c[s+4>>2]|0;j=DA(e,c[42217]|0,0,0)|0;k=+g[n>>2];if(!i)ED(d,122106,j,k);else ED(d,i,j,k);i=f>>>1&1|2}}j=c[c[(c[m>>2]|0)+8>>2]>>2]|0;if((a[j>>0]|0)==77){m=(xJ(j,91271)|0)==0;f=m?f|4:f}if(!(f&2130706444)){c[n>>2]=c[p>>2];c[n+4>>2]=c[p+4>>2];c[n+8>>2]=c[p+8>>2];c[n+12>>2]=c[p+12>>2];c[n+16>>2]=c[p+16>>2];c[n+20>>2]=c[p+20>>2];c[n+24>>2]=c[p+24>>2];c[n+28>>2]=c[p+28>>2];ID(d,n,i)}else{c[r>>2]=c[p>>2];c[r+4>>2]=c[p+4>>2];c[r+8>>2]=c[p+8>>2];c[r+12>>2]=c[p+12>>2];p=r+32|0;c[p>>2]=c[q>>2];c[p+4>>2]=c[q+4>>2];c[p+8>>2]=c[q+8>>2];c[p+12>>2]=c[q+12>>2];h[r+16>>3]=+h[p>>3];h[r+24>>3]=+h[r+8>>3];h[r+48>>3]=+h[r>>3];h[r+56>>3]=+h[r+40>>3];yy(d,r,4,f,i)}tz(d,e,o);_I(c[s>>2]|0);if(v){if(c[d+152>>2]&4|0)wD(d,c[u>>2]|0,c[t+228>>2]|0,c[t+244>>2]|0,c[t+212>>2]|0);xD(d)}l=w;return}function tz(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+144|0;p=u+128|0;o=u+112|0;q=u+16|0;r=u;g=u+96|0;i=u+80|0;s=u+64|0;t=u+48|0;j=e+52|0;f=c[j>>2]|0;if(!f)f=d+16|0;else{n=f+56|0;m=e+16|0;f=e+32|0;c[o>>2]=c[m>>2];c[o+4>>2]=c[m+4>>2];c[o+8>>2]=c[m+8>>2];c[o+12>>2]=c[m+12>>2];c[p>>2]=c[f>>2];c[p+4>>2]=c[f+4>>2];c[p+8>>2]=c[f+8>>2];c[p+12>>2]=c[f+12>>2];uz(g,o,p);f=d+16|0;m=(c[f>>2]|0)+16|0;c[o>>2]=c[g>>2];c[o+4>>2]=c[g+4>>2];c[o+8>>2]=c[g+8>>2];c[o+12>>2]=c[g+12>>2];c[p>>2]=c[m>>2];c[p+4>>2]=c[m+4>>2];c[p+8>>2]=c[m+8>>2];c[p+12>>2]=c[m+12>>2];bz(i,o,p);c[n>>2]=c[i>>2];c[n+4>>2]=c[i+4>>2];c[n+8>>2]=c[i+8>>2];c[n+12>>2]=c[i+12>>2];pw(b,10,c[j>>2]|0);$y(b,d)|0}k=(c[f>>2]|0)+16|0;c[r>>2]=c[k>>2];c[r+4>>2]=c[k+4>>2];c[r+8>>2]=c[k+8>>2];c[r+12>>2]=c[k+12>>2];k=e+48|0;m=e+64|0;n=q+16|0;j=e+56|0;e=q+16|0;i=0;while(1){if((i|0)>=(c[k>>2]|0))break;if((i|0)>0){f=(c[j>>2]|0)+(i<<2)|0;g=c[f>>2]|0;if(!(a[m>>0]|0)){g=g+32|0;c[n>>2]=c[g>>2];c[n+4>>2]=c[g+4>>2];c[n+8>>2]=c[g+8>>2];c[n+12>>2]=c[g+12>>2];h[q>>3]=+h[(c[f>>2]|0)+16>>3];f=n;g=0}else{g=g+16|0;c[q>>2]=c[g>>2];c[q+4>>2]=c[g+4>>2];c[q+8>>2]=c[g+8>>2];c[q+12>>2]=c[g+12>>2];h[e>>3]=+h[q>>3];f=(c[f>>2]|0)+32|0;g=1}h[q+(g<<4)+8>>3]=+h[f+8>>3];c[o>>2]=c[q>>2];c[o+4>>2]=c[q+4>>2];c[o+8>>2]=c[q+8>>2];c[o+12>>2]=c[q+12>>2];c[p>>2]=c[r>>2];c[p+4>>2]=c[r+4>>2];c[p+8>>2]=c[r+8>>2];c[p+12>>2]=c[r+12>>2];bz(s,o,p);c[q>>2]=c[s>>2];c[q+4>>2]=c[s+4>>2];c[q+8>>2]=c[s+8>>2];c[q+12>>2]=c[s+12>>2];c[o>>2]=c[n>>2];c[o+4>>2]=c[n+4>>2];c[o+8>>2]=c[n+8>>2];c[o+12>>2]=c[n+12>>2];c[p>>2]=c[r>>2];c[p+4>>2]=c[r+4>>2];c[p+8>>2]=c[r+8>>2];c[p+12>>2]=c[r+12>>2];bz(t,o,p);c[n>>2]=c[t>>2];c[n+4>>2]=c[t+4>>2];c[n+8>>2]=c[t+8>>2];c[n+12>>2]=c[t+12>>2];KD(b,q,2)}tz(b,d,c[(c[j>>2]|0)+(i<<2)>>2]|0);i=i+1|0}l=u;return}function uz(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=(+h[c+8>>3]+ +h[b+8>>3])*.5;h[a>>3]=(+h[c>>3]+ +h[b>>3])*.5;h[a+8>>3]=d;return}function vz(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;e=c[b+60>>2]|0;if(!(((e|0)!=0?(a[e>>0]|0)==(a[d>>0]|0):0)?(xJ(e,d)|0)==0:0))f=4;a:do if((f|0)==4){g=b+56|0;f=c[b+48>>2]|0;e=0;while(1){if((e|0)>=(f|0)){b=0;break a}b=vz(c[(c[g>>2]|0)+(e<<2)>>2]|0,d)|0;if(!b)e=e+1|0;else break}}while(0);return b|0}function wz(a,b){a=a|0;b=b|0;var d=0;d=b+8|0;h[d>>3]=+h[d>>3]*1.375;c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];return}function xz(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0.0,g=0.0,i=0.0,j=0.0,k=0.0,l=0.0,m=0.0;k=+h[b>>3];f=k*.5;m=+h[b+8>>3];i=m*.5;h[a>>3]=f;e=m*.40909090909090906;h[a+8>>3]=e;h[a+16>>3]=f;g=m*.4592530909090909;h[a+24>>3]=g;j=k*.275892;h[a+32>>3]=j;h[a+40>>3]=i;h[a+48>>3]=0.0;h[a+56>>3]=i;k=k*-.275892;h[a+64>>3]=k;h[a+72>>3]=i;l=-f;h[a+80>>3]=l;h[a+88>>3]=g;d=a+96|0;h[d>>3]=l;h[a+104>>3]=e;b=a+112|0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];b=a+128|0;h[b>>3]=l;h[a+136>>3]=m*-.40909090909090906;d=a+144|0;c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];h[a+160>>3]=l;g=-g;h[a+168>>3]=g;h[a+176>>3]=k;i=-i;h[a+184>>3]=i;h[a+192>>3]=0.0;h[a+200>>3]=i;h[a+208>>3]=j;h[a+216>>3]=i;h[a+224>>3]=f;h[a+232>>3]=g;d=a+240|0;h[d>>3]=f;h[a+248>>3]=-e;b=a+256|0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];b=a+288|0;d=a+272|0;c[d>>2]=c[a>>2];c[d+4>>2]=c[a+4>>2];c[d+8>>2]=c[a+8>>2];c[d+12>>2]=c[a+12>>2];c[b>>2]=c[a>>2];c[b+4>>2]=c[a+4>>2];c[b+8>>2]=c[a+8>>2];c[b+12>>2]=c[a+12>>2];return}function yz(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0.0,g=0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0.0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0;x=l;l=l+144|0;u=x+112|0;t=x+96|0;v=x+80|0;s=x+64|0;w=x+32|0;q=x+16|0;r=x;g=x+48|0;do if(a){j=c[a+4>>2]|0;k=c[a>>2]|0;o=(c[(c[(ro(k)|0)+16>>2]|0)+116>>2]&3)*90|0;c[u>>2]=c[b>>2];c[u+4>>2]=c[b+4>>2];c[u+8>>2]=c[b+8>>2];c[u+12>>2]=c[b+12>>2];aw(g,u,o);c[w>>2]=c[g>>2];c[w+4>>2]=c[g+4>>2];c[w+8>>2]=c[g+8>>2];c[w+12>>2]=c[g+12>>2];if(j|0){d=+h[w>>3];if(!(+h[j>>3]<=d)){a=0;break}if(!(d<=+h[j+16>>3])){a=0;break}d=+h[w+8>>3];if(!(+h[j+8>>3]<=d)){a=0;break}a=d<=+h[j+24>>3];break}if((k|0)==(c[42336]|0)){d=+h[20903];e=+h[20904];i=+h[20905]}else{a=k+16|0;b=c[(c[a>>2]|0)+12>>2]|0;c[42337]=b;c[42338]=c[b+44>>2];c[42339]=c[b+8>>2];if(!(c[b+40>>2]&2048)){n=(c[(c[(ro(k)|0)+16>>2]|0)+116>>2]&1|0)==0;o=c[a>>2]|0;h[(n?167248:167256)>>3]=+h[o+96>>3]+ +h[o+88>>3];h[(n?167256:167248)>>3]=+h[o+80>>3];i=+h[o+32>>3]*72.0;f=+h[o+40>>3]*72.0;f=+(~~(f+(f>=0.0?.5:-.5))|0);i=+(~~(i+(i>=0.0?.5:-.5))|0)}else{aB(u,b);i=+h[u+16>>3]-+h[u>>3];f=+h[u+24>>3]-+h[u+8>>3];o=(c[(c[(ro(k)|0)+16>>2]|0)+116>>2]&1|0)==0;h[(o?167248:167256)>>3]=i;h[(o?167256:167248)>>3]=f}d=+h[20906];if(d==0.0){h[20906]=1.0;d=1.0}e=+h[20907];if(e==0.0){h[20907]=1.0;e=1.0}d=i/d;h[20903]=d;e=f/e;h[20904]=e;i=i*.5;h[20905]=i;h[20908]=f*.5;o=O((c[(c[42337]|0)+4>>2]|0)+-1|0,c[42339]|0)|0;c[42340]=(o|0)>0?o:0;c[42336]=k}f=+h[w>>3]*d;h[w>>3]=f;o=w+8|0;d=+h[o>>3]*e;h[o>>3]=d;if(!(+B(+f)>i)?(e=+B(+d),p=+h[20908],!(e>p)):0){o=c[42339]|0;if((o|0)<3){a=+QJ(f/i,d/p)<1.0;break}b=(c[42341]|0)%(o|0)|0;a=(b+1|0)%(o|0)|0;k=c[42338]|0;m=c[42340]|0;n=k+(m+b<<4)|0;c[q>>2]=c[n>>2];c[q+4>>2]=c[n+4>>2];c[q+8>>2]=c[n+8>>2];c[q+12>>2]=c[n+12>>2];n=k+(m+a<<4)|0;c[r>>2]=c[n>>2];c[r+4>>2]=c[n+4>>2];c[r+8>>2]=c[n+8>>2];c[r+12>>2]=c[n+12>>2];c[s>>2]=c[w>>2];c[s+4>>2]=c[w+4>>2];c[s+8>>2]=c[w+8>>2];c[s+12>>2]=c[w+12>>2];c[v>>2]=c[41818];c[v+4>>2]=c[41819];c[v+8>>2]=c[41820];c[v+12>>2]=c[41821];c[t>>2]=c[q>>2];c[t+4>>2]=c[q+4>>2];c[t+8>>2]=c[q+8>>2];c[t+12>>2]=c[q+12>>2];c[u>>2]=c[n>>2];c[u+4>>2]=c[n+4>>2];c[u+8>>2]=c[n+8>>2];c[u+12>>2]=c[n+12>>2];if(gz(s,v,t,u)|0){c[s>>2]=c[w>>2];c[s+4>>2]=c[w+4>>2];c[s+8>>2]=c[w+8>>2];c[s+12>>2]=c[w+12>>2];c[v>>2]=c[q>>2];c[v+4>>2]=c[q+4>>2];c[v+8>>2]=c[q+8>>2];c[v+12>>2]=c[q+12>>2];c[t>>2]=c[r>>2];c[t+4>>2]=c[r+4>>2];c[t+8>>2]=c[r+8>>2];c[t+12>>2]=c[r+12>>2];c[u>>2]=c[41818];c[u+4>>2]=c[41819];c[u+8>>2]=c[41820];c[u+12>>2]=c[41821];n=(gz(s,v,t,u)|0)!=0;if(n?(c[s>>2]=c[w>>2],c[s+4>>2]=c[w+4>>2],c[s+8>>2]=c[w+8>>2],c[s+12>>2]=c[w+12>>2],c[v>>2]=c[r>>2],c[v+4>>2]=c[r+4>>2],c[v+8>>2]=c[r+8>>2],c[v+12>>2]=c[r+12>>2],c[t>>2]=c[41818],c[t+4>>2]=c[41819],c[t+8>>2]=c[41820],c[t+12>>2]=c[41821],c[u>>2]=c[q>>2],c[u+4>>2]=c[q+4>>2],c[u+8>>2]=c[q+8>>2],c[u+12>>2]=c[q+12>>2],(gz(s,v,t,u)|0)!=0):0){a=1;break}else{j=b;b=1}while(1){if((b|0)>=(o|0)){b=31;break}if(n){g=a;a=(a+1|0)%(o|0)|0}else{g=(j+-1+o|0)%(o|0)|0;a=j}q=k+(m+g<<4)|0;r=k+(m+a<<4)|0;c[s>>2]=c[w>>2];c[s+4>>2]=c[w+4>>2];c[s+8>>2]=c[w+8>>2];c[s+12>>2]=c[w+12>>2];c[v>>2]=c[41818];c[v+4>>2]=c[41819];c[v+8>>2]=c[41820];c[v+12>>2]=c[41821];c[t>>2]=c[q>>2];c[t+4>>2]=c[q+4>>2];c[t+8>>2]=c[q+8>>2];c[t+12>>2]=c[q+12>>2];c[u>>2]=c[r>>2];c[u+4>>2]=c[r+4>>2];c[u+8>>2]=c[r+8>>2];c[u+12>>2]=c[r+12>>2];if(!(gz(s,v,t,u)|0)){b=30;break}else{j=g;b=b+1|0}}if((b|0)==30){c[42341]=g;a=0;break}else if((b|0)==31){c[42341]=j;a=1;break}}else a=0}else a=0}else{c[42336]=0;a=0}while(0);l=x;return a&1|0}function zz(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0,g=0.0,i=0,j=0,k=0;j=l;l=l+32|0;f=j+16|0;i=j;if(a){a=c[a>>2]|0;k=(c[(c[(ro(a)|0)+16>>2]|0)+116>>2]&3)*90|0;c[f>>2]=c[b>>2];c[f+4>>2]=c[b+4>>2];c[f+8>>2]=c[b+8>>2];c[f+12>>2]=c[b+12>>2];aw(i,f,k);g=+h[i>>3];e=+h[i+8>>3];if((a|0)==(c[42344]|0))d=+h[20911];else{i=c[(c[a+16>>2]|0)+12>>2]|0;k=(c[i+4>>2]<<1)+-2|0;d=+h[(c[i+44>>2]|0)+((((k|0)>0?k:0)|1)<<4)>>3];h[20911]=d;c[42344]=a}if(+B(+g)>d|+B(+e)>d)a=0;else a=+QJ(g,e)<=d&1}else{c[42344]=0;a=0}l=j;return a|0}function Az(e,f){e=e|0;f=f|0;var g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0.0,v=0,w=0;t=l;l=l+16|0;j=t;r=c[e+16>>2]|0;s=r+208|0;g=c[s>>2]|0;if((g|0)==0?(b[r+260>>1]&1)==0:0)q=0;else if(!(c[e+152>>2]&4)){wD(e,g,c[r+228>>2]|0,c[r+244>>2]|0,c[r+212>>2]|0);q=1}else q=1;n=f+16|0;k=c[(c[n>>2]|0)+12>>2]|0;o=c[k+44>>2]|0;p=c[k+8>>2]|0;k=c[k+4>>2]|0;if((c[42342]|0)<(p|0)){g=p+2|0;c[42342]=g;i=c[42343]|0;if(!i)g=ww(g<<4)|0;else g=yw(i,g<<4)|0;c[42343]=g}dz(f,j)|0;if(!(c[j>>2]&32))FD(e,21040);else FD(e,21036);g=c[42216]|0;if(g|0)OD(e,+EA(f,g,1.0,0.0));g=d[(c[n>>2]|0)+117>>0]|0;do if(!(g&1)){if(g&2|0){BD(e,GA(f,0,91300)|0);g=GA(f,0,91308)|0;DD(e,g);break}if(g&8|0){BD(e,GA(f,0,91316)|0);g=GA(f,0,91324)|0;DD(e,g);break}if(!(g&4)){g=cz(f,122106)|0;DD(e,g);$y(e,f)|0;break}else{BD(e,GA(f,0,91332)|0);g=GA(f,0,91340)|0;DD(e,g);break}}else{BD(e,GA(f,0,91284)|0);g=GA(f,0,91292)|0;DD(e,g)}while(0);if(!k)if(!(a[g>>0]|0))i=1;else{BD(e,g);i=1}else i=k;j=1;f=0;while(1){if((f|0)>=(i|0))break;k=O(f,p)|0;m=c[42343]|0;g=0;while(1){if((g|0)>=(p|0))break;w=g+k|0;u=+h[o+(w<<4)+8>>3];v=c[n>>2]|0;h[m+(g<<4)>>3]=+h[v+16>>3]+ +h[o+(w<<4)>>3];h[m+(g<<4)+8>>3]=+h[v+24>>3]+u;g=g+1|0}GD(e,m,p,j);j=0;f=f+1|0}if(q){if(c[e+152>>2]&4|0)wD(e,c[s>>2]|0,c[r+228>>2]|0,c[r+244>>2]|0,c[r+212>>2]|0);xD(e)}l=t;return}function Bz(a,b,e,f){a=a|0;b=b|0;e=e|0;f=f|0;var g=0,h=0;g=l;l=l+48|0;h=g;e=Cz(b,e,f)|0;c[h+36>>2]=c[f+36>>2];hz(b,c[f+24>>2]|0,h,e,d[f+33>>0]|0,0)|0;b=h;e=a+40|0;do{c[a>>2]=c[b>>2];a=a+4|0;b=b+4|0}while((a|0)<(e|0));l=g;return}function Cz(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0.0,j=0.0,k=0,m=0.0,n=0.0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0.0,B=0.0,C=0;z=l;l=l+32|0;y=z;g=z+24|0;k=z+16|0;x=c[(c[(c[(ro(b)|0)+60>>2]|0)+16>>2]|0)+116>>2]&3;f=b+16|0;w=(c[f>>2]|0)+16|0;c[y>>2]=c[w>>2];c[y+4>>2]=c[w+4>>2];c[y+8>>2]=c[w+8>>2];c[y+12>>2]=c[w+12>>2];Dz(g,y,x);w=(c[d+16>>2]|0)+16|0;c[y>>2]=c[w>>2];c[y+4>>2]=c[w+4>>2];c[y+8>>2]=c[w+8>>2];c[y+12>>2]=c[w+12>>2];Dz(k,y,x);x=a[e+33>>0]|0;y=x&255;a:do switch(x<<24>>24){case 0:case 15:{d=0;break}default:{d=c[e+24>>2]|0;if(!d){x=(c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&1|0)==0;w=c[f>>2]|0;B=+h[w+80>>3]*.5;A=-B;m=+h[w+88>>3];j=-m;n=x?j:A;i=x?m:B;m=x?B:m;j=x?A:j}else{n=+h[d>>3];i=+h[d+16>>3];m=+h[d+24>>3];j=+h[d+8>>3]}x=c[g>>2]|0;v=c[g+4>>2]|0;w=c[k>>2]|0;s=c[k+4>>2]|0;t=~~j;u=~~((i+n)*.5);r=~~i;q=~~((m+j)*.5);p=~~m;o=~~n;g=0;k=0;d=0;e=0;b=0;while(1){if((k|0)==4)break a;if(1<<k&y){switch(k|0){case 0:{e=u;b=t;break}case 1:{e=r;b=q;break}case 2:{e=u;b=p;break}case 3:{e=o;b=q;break}default:{}}e=x+e|0;b=v+b|0;f=e-w|0;C=b-s|0;f=(O(C,C)|0)+(O(f,f)|0)|0;if((d|0)==0|(f|0)<(g|0))d=c[21048+(k<<2)>>2]|0;else f=g}else f=g;g=f;k=k+1|0}}}while(0);l=z;return d|0}function Dz(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0.0;switch(d|0){case 0:{f=+h[b>>3];e=+h[b+8>>3];break}case 2:{f=+h[b>>3];e=-+h[b+8>>3];break}case 1:{f=-+h[b+8>>3];e=+h[b>>3];break}case 3:{f=+h[b+8>>3];e=+h[b>>3];break}default:{f=0.0;e=0.0}}c[a>>2]=~~(f+(f>=0.0?.5:-.5));c[a+4>>2]=~~(e+(e>=0.0?.5:-.5));return}function Ez(){var a=0,b=0,d=0;a=l;l=l+32|0;b=a+16|0;d=a;c[d>>2]=0;c[d+4>>2]=0;c[d+8>>2]=0;c[d+12>>2]=0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];yz(0,b)|0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];zz(0,b)|0;c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];Wy(0,b)|0;l=a;return}function Fz(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0.0,q=0,r=0.0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0;z=l;l=l+192|0;s=z+176|0;x=z+112|0;y=z+48|0;t=z+32|0;u=z+24|0;v=z+16|0;w=z;if(!(e<<24>>24)){k=d+48|0;c[t>>2]=c[k>>2];c[t+4>>2]=c[k+4>>2];c[t+8>>2]=c[k+8>>2];c[t+12>>2]=c[k+12>>2];k=u;m=v;n=x;o=0}else{c[t>>2]=c[d>>2];c[t+4>>2]=c[d+4>>2];c[t+8>>2]=c[d+8>>2];c[t+12>>2]=c[d+12>>2];k=v;m=u;n=0;o=x}h[u>>3]=0.0;h[v>>3]=1.0;q=t+8|0;f=0.0;g=1.0;j=0;p=+h[t>>3];while(1){r=+h[q>>3];f=(f+g)*.5;PA(w,d,3,f,n,o);c[t>>2]=c[w>>2];c[t+4>>2]=c[w+4>>2];c[t+8>>2]=c[w+8>>2];c[t+12>>2]=c[w+12>>2];c[s>>2]=c[w>>2];c[s+4>>2]=c[w+4>>2];c[s+8>>2]=c[w+8>>2];c[s+12>>2]=c[w+12>>2];a:do if(!((ab[b&63](a,s)|0)<<24>>24)){e=0;while(1){if((e|0)==4){e=k;j=1;break a}j=y+(e<<4)|0;A=x+(e<<4)|0;c[j>>2]=c[A>>2];c[j+4>>2]=c[A+4>>2];c[j+8>>2]=c[A+8>>2];c[j+12>>2]=c[A+12>>2];e=e+1|0}}else e=m;while(0);h[e>>3]=f;i=+h[t>>3];p=p-i;if(!((p>=0.0?p:-p)>.5)?(r=r-+h[q>>3],!((r>=0.0?r:-r)>.5)):0)break;f=+h[u>>3];g=+h[v>>3];p=i}b:do if(!(j<<24>>24)){e=0;while(1){if((e|0)==4)break b;A=d+(e<<4)|0;y=x+(e<<4)|0;c[A>>2]=c[y>>2];c[A+4>>2]=c[y+4>>2];c[A+8>>2]=c[y+8>>2];c[A+12>>2]=c[y+12>>2];e=e+1|0}}else{e=0;while(1){if((e|0)==4)break b;A=d+(e<<4)|0;x=y+(e<<4)|0;c[A>>2]=c[x>>2];c[A+4>>2]=c[x+4>>2];c[A+8>>2]=c[x+8>>2];c[A+12>>2]=c[x+12>>2];e=e+1|0}}while(0);l=z;return}function Gz(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0.0;m=l;l=l+48|0;d=m+16|0;e=m;f=m+32|0;g=a+16|0;i=c[g>>2]|0;j=c[i+8>>2]|0;if(j|0?(k=j+4|0,c[(c[k>>2]|0)+12>>2]|0):0){c[f>>2]=a;c[f+4>>2]=0;n=+h[i+96>>3];h[e>>3]=+h[b>>3]-+h[i+16>>3];h[e+8>>3]=+h[b+8>>3]-+h[i+24>>3];k=c[(c[k>>2]|0)+12>>2]|0;c[d>>2]=c[e>>2];c[d+4>>2]=c[e+4>>2];c[d+8>>2]=c[e+8>>2];c[d+12>>2]=c[e+12>>2];k=ab[k&63](f,d)|0;h[(c[g>>2]|0)+96>>3]=n;Hz(f,a,b,k)}l=m;return}function Hz(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,i=0,j=0,k=0.0,m=0,n=0;n=l;l=l+64|0;m=n;j=b+16|0;g=c[j>>2]|0;k=+h[g+96>>3];i=g+16|0;f=g+24|0;b=0;while(1){if((b|0)==4)break;h[m+(b<<4)>>3]=+h[d+(b<<4)>>3]-+h[i>>3];h[m+(b<<4)+8>>3]=+h[d+(b<<4)+8>>3]-+h[f>>3];b=b+1|0}Fz(a,c[(c[(c[g+8>>2]|0)+4>>2]|0)+12>>2]|0,m,e);b=0;while(1){if((b|0)==4)break;e=c[j>>2]|0;h[d+(b<<4)>>3]=+h[e+16>>3]+ +h[m+(b<<4)>>3];h[d+(b<<4)+8>>3]=+h[e+24>>3]+ +h[m+(b<<4)+8>>3];b=b+1|0}h[(c[j>>2]|0)+96>>3]=k;l=n;return}function Iz(b,d){b=b|0;d=d|0;var e=0,f=0;while(1){f=b+16|0;b=c[f>>2]|0;if(!(a[b+112>>0]|0))break;b=c[b+116>>2]|0}b=c[b+8>>2]|0;if(!b){b=vw(40)|0;c[(c[f>>2]|0)+8>>2]=b}e=c[b>>2]|0;if(!e)b=ww(((c[b+4>>2]|0)*48|0)+48|0)|0;else b=yw(e,((c[b+4>>2]|0)*48|0)+48|0)|0;f=c[(c[f>>2]|0)+8>>2]|0;c[f>>2]=b;f=f+4|0;e=c[f>>2]|0;c[f>>2]=e+1;f=b+(e*48|0)|0;c[f>>2]=vw(d<<4)|0;c[b+(e*48|0)+4>>2]=d;b=b+(e*48|0)+8|0;e=b+40|0;do{c[b>>2]=0;b=b+4|0}while((b|0)<(e|0));return f|0}function Jz(b,e,f,g,i){b=b|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0.0,F=0.0;D=l;l=l+96|0;A=D+16|0;u=D;x=D+92|0;y=D+88|0;v=D+80|0;m=c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0;z=ro(m)|0;B=Iz(b,g)|0;n=b;while(1){o=c[n+16>>2]|0;if(!(a[o+112>>0]|0))break;n=c[o+116>>2]|0}if((a[i+8>>0]|0)==0?(j=c[m+16>>2]|0,k=c[e+16>>2]|0,(c[j+232>>2]|0)==(c[k+232>>2]|0)):0){p=(c[j+236>>2]|0)>(c[k+236>>2]|0);w=p?m:e;m=p?e:m}else w=e;if((m|0)==(c[((c[n>>2]&3|0)==3?n:n+48|0)+40>>2]|0)){j=o+80|0;k=o+40|0;p=d[o+86>>0]|0;e=d[o+46>>0]|0}else{j=o+40|0;k=o+80|0;p=d[o+46>>0]|0;e=d[o+86>>0]|0}o=c[j>>2]|0;j=c[k>>2]|0;if(((e|0)!=0?(r=m+16|0,q=c[(c[r>>2]|0)+8>>2]|0,(q|0)!=0):0)?(c[(c[q+4>>2]|0)+12>>2]|0)!=0:0){c[v>>2]=m;c[v+4>>2]=j;j=g+-4|0;e=u+8|0;k=0;while(1){if((k|0)>=(j|0))break;n=k+3|0;q=c[r>>2]|0;h[u>>3]=+h[f+(n<<4)>>3]-+h[q+16>>3];h[e>>3]=+h[f+(n<<4)+8>>3]-+h[q+24>>3];q=c[(c[(c[q+8>>2]|0)+4>>2]|0)+12>>2]|0;c[A>>2]=c[u>>2];c[A+4>>2]=c[u+4>>2];c[A+8>>2]=c[u+8>>2];c[A+12>>2]=c[u+12>>2];if(!((ab[q&63](v,A)|0)<<24>>24))break;else k=n}c[x>>2]=k;Hz(v,m,f+(k<<4)|0,1)}else{c[x>>2]=0;k=0}if(((p|0)!=0?(t=w+16|0,s=c[(c[t>>2]|0)+8>>2]|0,(s|0)!=0):0)?(c[(c[s+4>>2]|0)+12>>2]|0)!=0:0){c[v>>2]=w;c[v+4>>2]=o;m=g+-4|0;e=u+8|0;j=m;while(1){if((j|0)<=0)break;g=c[t>>2]|0;h[u>>3]=+h[f+(j<<4)>>3]-+h[g+16>>3];h[e>>3]=+h[f+(j<<4)+8>>3]-+h[g+24>>3];g=c[(c[(c[g+8>>2]|0)+4>>2]|0)+12>>2]|0;c[A>>2]=c[u>>2];c[A+4>>2]=c[u+4>>2];c[A+8>>2]=c[u+8>>2];c[A+12>>2]=c[u+12>>2];if(!((ab[g&63](v,A)|0)<<24>>24))break;j=j+-3|0}c[y>>2]=j;Hz(v,w,f+(j<<4)|0,0)}else{m=g+-4|0;c[y>>2]=m;j=m}while(1){if((k|0)>=(m|0))break;e=k+3|0;E=+h[f+(k<<4)>>3]-+h[f+(e<<4)>>3];F=+h[f+(k<<4)+8>>3]-+h[f+(e<<4)+8>>3];if(F*F+E*E<1.0e-06)k=e;else break}c[x>>2]=k;while(1){if((j|0)<=0)break;v=j+3|0;F=+h[f+(j<<4)>>3]-+h[f+(v<<4)>>3];E=+h[f+(j<<4)+8>>3]-+h[f+(v<<4)+8>>3];if(!(E*E+F*F<1.0e-06))break;j=j+-3|0}c[y>>2]=j;Kz(b,w,f,x,y,B,i);r=c[x>>2]|0;n=c[y>>2]|0;m=n+4|0;n=n+3|0;o=A+16|0;p=A+32|0;q=A+48|0;k=z+16|0;j=r;while(1){if((j|0)>=(m|0))break;z=(c[B>>2]|0)+(j-r<<4)|0;e=f+(j<<4)|0;c[z>>2]=c[e>>2];c[z+4>>2]=c[e+4>>2];c[z+8>>2]=c[e+8>>2];c[z+12>>2]=c[e+12>>2];c[A>>2]=c[e>>2];c[A+4>>2]=c[e+4>>2];c[A+8>>2]=c[e+8>>2];c[A+12>>2]=c[e+12>>2];e=j+1|0;if((j|0)>=(n|0)){C=38;break}y=(c[B>>2]|0)+(e-r<<4)|0;z=f+(e<<4)|0;c[y>>2]=c[z>>2];c[y+4>>2]=c[z+4>>2];c[y+8>>2]=c[z+8>>2];c[y+12>>2]=c[z+12>>2];c[o>>2]=c[z>>2];c[o+4>>2]=c[z+4>>2];c[o+8>>2]=c[z+8>>2];c[o+12>>2]=c[z+12>>2];z=j+2|0;y=(c[B>>2]|0)+(z-r<<4)|0;z=f+(z<<4)|0;c[y>>2]=c[z>>2];c[y+4>>2]=c[z+4>>2];c[y+8>>2]=c[z+8>>2];c[y+12>>2]=c[z+12>>2];c[p>>2]=c[z>>2];c[p+4>>2]=c[z+4>>2];c[p+8>>2]=c[z+8>>2];c[p+12>>2]=c[z+12>>2];z=j+3|0;y=f+(z<<4)|0;c[q>>2]=c[y>>2];c[q+4>>2]=c[y+4>>2];c[q+8>>2]=c[y+8>>2];c[q+12>>2]=c[y+12>>2];eu((c[k>>2]|0)+16|0,A);j=z}c[B+4>>2]=m-r;l=D;return}function Kz(b,d,e,f,g,h,i){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0;p=l;l=l+16|0;m=p+4|0;n=p;o=b;while(1){j=c[(c[o+16>>2]|0)+116>>2]|0;if(!j)break;else o=j}if(!(a[i+8>>0]|0))j=($a[c[i>>2]&31](o)|0)&255;else j=0;At(o,m,n);k=i+4|0;if(($a[c[k>>2]&31](d)|0)<<24>>24)c[n>>2]=0;if(($a[c[k>>2]&31](c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)|0)<<24>>24)c[m>>2]=0;if(j|0){d=c[m>>2]|0;c[m>>2]=c[n>>2];c[n>>2]=d}if(!(a[i+9>>0]|0)){j=c[m>>2]|0;if(j|0)c[f>>2]=Pt(o,e,c[f>>2]|0,c[g>>2]|0,h,j)|0;j=c[n>>2]|0;if(j|0)c[g>>2]=Nt(o,e,c[f>>2]|0,c[g>>2]|0,h,j)|0}else{k=c[n>>2]|0;j=c[m>>2]|0;if(j|k|0)Qt(o,e,c[f>>2]|0,c[g>>2]|0,h,j,k)}l=p;return}function Lz(a,b){a=a|0;b=b|0;var d=0,e=0;if(+h[b>>3]<+h[b+16>>3]?+h[b+8>>3]<+h[b+24>>3]:0){d=c[a+84>>2]|0;e=a+80|0;a=c[e>>2]|0;c[e>>2]=a+1;a=d+(a<<5)|0;c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];c[a+16>>2]=c[b+16>>2];c[a+20>>2]=c[b+20>>2];c[a+24>>2]=c[b+24>>2];c[a+28>>2]=c[b+28>>2]}return}function Mz(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0.0,z=0.0;x=l;l=l+112|0;u=x+72|0;o=x+56|0;n=x+16|0;q=x;j=c[d>>2]&3;p=d+48|0;w=c[((j|0)==3?d:p)+40>>2]|0;t=d+16|0;r=c[t>>2]|0;i=r+16|0;if(a[r+47>>0]|0){Bz(n,w,c[((j|0)==2?d:d+-48|0)+40>>2]|0,i);j=n;n=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(n|0))}r=w+16|0;j=c[r>>2]|0;i=c[j+8>>2]|0;if(!i)n=0;else n=c[(c[i+4>>2]|0)+16>>2]|0;i=j+16|0;j=(c[t>>2]|0)+16|0;c[o>>2]=c[i>>2];c[o+4>>2]=c[i+4>>2];c[o+8>>2]=c[i+8>>2];c[o+12>>2]=c[i+12>>2];c[u>>2]=c[j>>2];c[u+4>>2]=c[j+4>>2];c[u+8>>2]=c[j+8>>2];c[u+12>>2]=c[j+12>>2];Nz(q,o,u);c[b>>2]=c[q>>2];c[b+4>>2]=c[q+4>>2];c[b+8>>2]=c[q+8>>2];c[b+12>>2]=c[q+12>>2];if(!(g<<24>>24)){i=c[t>>2]|0;if(!(a[i+45>>0]|0))i=0;else{k=+h[i+32>>3];v=9}}else{k=+Oz(c[((c[d>>2]&3|0)==3?d:p)+40>>2]|0);v=9}if((v|0)==9){h[b+16>>3]=k;i=1}a[b+29>>0]=i;c[b+80>>2]=0;c[b+88>>2]=d;q=f+32|0;c[q>>2]=c[b>>2];c[q+4>>2]=c[b+4>>2];c[q+8>>2]=c[b+8>>2];c[q+12>>2]=c[b+12>>2];switch(e|0){case 1:{j=c[r>>2]|0;if((a[j+156>>0]|0)==0?(q=a[(c[t>>2]|0)+49>>0]|0,s=q&255,q<<24>>24!=0):0){c[u>>2]=c[f>>2];c[u+4>>2]=c[f+4>>2];c[u+8>>2]=c[f+8>>2];c[u+12>>2]=c[f+12>>2];c[u+16>>2]=c[f+16>>2];c[u+20>>2]=c[f+20>>2];c[u+24>>2]=c[f+24>>2];c[u+28>>2]=c[f+28>>2];do if(!(s&4)){if(s&1|0){c[f+48>>2]=1;i=u+24|0;h[i>>3]=+h[(+h[i>>3]>+h[b+8>>3]?u+16|0:b)+8>>3];i=f+56|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=1;break}i=f+48|0;if(!(s&8)){c[i>>2]=2;h[u>>3]=+h[b>>3];h[u+8>>3]=+h[j+24>>3]-+h[j+80>>3]*.5;h[u+24>>3]=+h[b+8>>3];i=f+56|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=1;break}else{c[i>>2]=8;h[u+16>>3]=+h[b>>3];h[u+8>>3]=+h[j+24>>3]-+h[j+80>>3]*.5;h[u+24>>3]=+h[b+8>>3];i=f+56|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=1;break}}else{c[f+48>>2]=4;k=+h[u>>3];if(+h[b>>3]<+h[j+16>>3]){z=k+-1.0;y=+h[b+8>>3];b=u+16|0;k=+h[b>>3];m=+h[j+80>>3]*.5+ +h[j+24>>3];m=m+ +((c[(c[(ro(w)|0)+16>>2]|0)+252>>2]|0)/2|0|0);i=c[r>>2]|0;h[b>>3]=+h[i+16>>3]-+h[i+88>>3];h[u+24>>3]=y;h[u+8>>3]=+h[i+24>>3]-+h[i+80>>3]*.5;h[u>>3]=z;h[f+56>>3]=z;h[f+64>>3]=y;h[f+72>>3]=k;h[f+80>>3]=m;i=f+88|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=2;break}else{m=+h[b+8>>3];i=u+16|0;y=+h[i>>3]+1.0;z=+h[j+80>>3]*.5+ +h[j+24>>3];z=z+ +((c[(c[(ro(w)|0)+16>>2]|0)+252>>2]|0)/2|0|0);b=c[r>>2]|0;h[u>>3]=+h[b+96>>3]+ +h[b+16>>3];h[u+24>>3]=m;h[u+8>>3]=+h[b+24>>3]-+h[b+80>>3]*.5;h[i>>3]=y;h[f+56>>3]=k;h[f+64>>3]=m;h[f+72>>3]=y;h[f+80>>3]=z;i=f+88|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=2;break}}while(0);c[f+52>>2]=i;while(1){i=c[d+16>>2]|0;if(!(a[i+112>>0]|0))break;d=c[i+116>>2]|0}a[((w|0)==(c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0)?i+16|0:i+56|0)+30>>0]=0}else{j=1;v=47}break}case 2:{s=a[(c[t>>2]|0)+49>>0]|0;j=s&255;if(!(s<<24>>24))v=46;else{c[u>>2]=c[f>>2];c[u+4>>2]=c[f+4>>2];c[u+8>>2]=c[f+8>>2];c[u+12>>2]=c[f+12>>2];c[u+16>>2]=c[f+16>>2];c[u+20>>2]=c[f+20>>2];c[u+24>>2]=c[f+24>>2];c[u+28>>2]=c[f+28>>2];do if(!(j&4)){if(j&1|0)if((c[f+48>>2]|0)==4){i=c[r>>2]|0;z=+h[i+24>>3]-+h[i+80>>3]*.5;i=u+16|0;y=+h[i>>3]+1.0;k=+h[b>>3];m=z-+((c[(c[(ro(w)|0)+16>>2]|0)+252>>2]|0)/2|0|0);b=c[r>>2]|0;h[u>>3]=+h[b+96>>3]+ +h[b+16>>3];h[u+8>>3]=z;h[u+24>>3]=+h[b+80>>3]*.5+ +h[b+24>>3];h[i>>3]=y;h[f+56>>3]=k;h[f+64>>3]=m;h[f+72>>3]=y;h[f+80>>3]=z;i=f+88|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=2;break}else{i=u+24|0;h[i>>3]=+h[(+h[i>>3]>+h[b+8>>3]?u+16|0:b)+8>>3];i=f+56|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=1;break}k=+h[b>>3];if(!(j&8)){h[u>>3]=k;e=c[r>>2]|0;k=+h[e+24>>3];m=+h[e+80>>3]*.5;if((c[f+48>>2]|0)==4){h[u+24>>3]=m+k;k=+h[b+8>>3];i=u}else{h[u+8>>3]=k-m;k=+h[b+8>>3]+1.0;i=u+16|0}h[i+8>>3]=k;i=f+56|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=1;break}else{i=u+16|0;h[i>>3]=k+1.0;e=c[r>>2]|0;k=+h[e+24>>3];m=+h[e+80>>3]*.5;if((c[f+48>>2]|0)==4){h[u+24>>3]=m+k;k=+h[b+8>>3]+-1.0;i=u}else{h[u+8>>3]=k-m;k=+h[b+8>>3]+1.0}h[i+8>>3]=k;i=f+56|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=1;break}}else{i=u+8|0;h[i>>3]=+h[(+h[i>>3]<+h[b+8>>3]?u:b)+8>>3];i=f+56|0;c[i>>2]=c[u>>2];c[i+4>>2]=c[u+4>>2];c[i+8>>2]=c[u+8>>2];c[i+12>>2]=c[u+12>>2];c[i+16>>2]=c[u+16>>2];c[i+20>>2]=c[u+20>>2];c[i+24>>2]=c[u+24>>2];c[i+28>>2]=c[u+28>>2];i=1}while(0);c[f+52>>2]=i;while(1){i=c[d+16>>2]|0;if(!(a[i+112>>0]|0))break;d=c[i+116>>2]|0}a[((w|0)==(c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0)?i+16|0:i+56|0)+30>>0]=0;c[f+48>>2]=j}break}default:v=46}if((v|0)==46){j=c[f+48>>2]|0;v=47}a:do if((v|0)==47){if(n){d=f+56|0;i=f+52|0;j=db[n&3](w,(c[t>>2]|0)+16|0,j,d,i)|0;if(j){c[f+48>>2]=j;break}}else{i=f+52|0;d=f+56|0};c[d>>2]=c[f>>2];c[d+4>>2]=c[f+4>>2];c[d+8>>2]=c[f+8>>2];c[d+12>>2]=c[f+12>>2];c[d+16>>2]=c[f+16>>2];c[d+20>>2]=c[f+20>>2];c[d+24>>2]=c[f+24>>2];c[d+28>>2]=c[f+28>>2];c[i>>2]=1;switch(e|0){case 8:{ma(123205,91558,569,91568);break}case 2:{h[((c[f+48>>2]|0)==4?f+56|0:f+72|0)+8>>3]=+h[b+8>>3];break a}case 1:{h[f+80>>3]=+h[b+8>>3];c[f+48>>2]=1;break a}default:break a}}while(0);l=x;return}function Nz(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=+h[c+8>>3]+ +h[b+8>>3];h[a>>3]=+h[c>>3]+ +h[b>>3];h[a+8>>3]=d;return}function Oz(a){a=a|0;var b=0.0,d=0,e=0,f=0.0,g=0,i=0,j=0,k=0.0,l=0.0;i=c[a+16>>2]|0;j=c[i+172>>2]|0;f=0.0;g=0;while(1){a=c[j+(g<<2)>>2]|0;if(!a)break;f=+h[(c[(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+16>>3]+f;g=g+1|0}e=c[i+180>>2]|0;b=0.0;a=0;while(1){d=c[e+(a<<2)>>2]|0;if(!d)break;b=+h[(c[(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+16>>3]+b;a=a+1|0}k=+h[i+16>>3];l=+h[i+24>>3];j=c[j>>2]|0;f=+K(+(l-+h[(c[(c[((c[j>>2]&3|0)==3?j:j+48|0)+40>>2]|0)+16>>2]|0)+24>>3]),+(k-f/+(g|0)));j=c[e>>2]|0;return +((+K(+(+h[(c[(c[((c[j>>2]&3|0)==2?j:j+-48|0)+40>>2]|0)+16>>2]|0)+24>>3]-l),+(b/+(a|0)-k))+f)*.5)}function Pz(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0,j=0,k=0.0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0.0,B=0.0;z=l;l=l+112|0;w=z+72|0;p=z+56|0;n=z+16|0;t=z;j=c[d>>2]&3;r=d+-48|0;y=c[((j|0)==2?d:r)+40>>2]|0;u=d+16|0;s=c[u>>2]|0;i=s+56|0;if(a[s+87>>0]|0){Bz(n,y,c[((j|0)==3?d:d+48|0)+40>>2]|0,i);j=n;n=i+40|0;do{c[i>>2]=c[j>>2];i=i+4|0;j=j+4|0}while((i|0)<(n|0))}s=y+16|0;j=c[s>>2]|0;i=c[j+8>>2]|0;if(!i)o=0;else o=c[(c[i+4>>2]|0)+16>>2]|0;n=b+40|0;i=j+16|0;j=(c[u>>2]|0)+56|0;c[p>>2]=c[i>>2];c[p+4>>2]=c[i+4>>2];c[p+8>>2]=c[i+8>>2];c[p+12>>2]=c[i+12>>2];c[w>>2]=c[j>>2];c[w+4>>2]=c[j+4>>2];c[w+8>>2]=c[j+8>>2];c[w+12>>2]=c[j+12>>2];Nz(t,p,w);c[n>>2]=c[t>>2];c[n+4>>2]=c[t+4>>2];c[n+8>>2]=c[t+8>>2];c[n+12>>2]=c[t+12>>2];if(!(g<<24>>24)){i=c[u>>2]|0;if(!(a[i+85>>0]|0))q=0;else{h[b+56>>3]=+h[i+72>>3];q=1}}else{m=+Oz(c[((c[d>>2]&3|0)==2?d:r)+40>>2]|0)+3.141592653589793;h[b+56>>3]=m;if(m<6.283185307179586)q=1;else ma(91578,91558,606,91602)}a[b+69>>0]=q;t=f+32|0;c[t>>2]=c[n>>2];c[t+4>>2]=c[n+4>>2];c[t+8>>2]=c[n+8>>2];c[t+12>>2]=c[n+12>>2];switch(e|0){case 1:{j=c[s>>2]|0;if((a[j+156>>0]|0)==0?(t=a[(c[u>>2]|0)+89>>0]|0,v=t&255,t<<24>>24!=0):0){c[w>>2]=c[f>>2];c[w+4>>2]=c[f+4>>2];c[w+8>>2]=c[f+8>>2];c[w+12>>2]=c[f+12>>2];c[w+16>>2]=c[f+16>>2];c[w+20>>2]=c[f+20>>2];c[w+24>>2]=c[f+24>>2];c[w+28>>2]=c[f+28>>2];do if(!(v&4))if(!(v&1)){i=f+48|0;if(!(v&8)){c[i>>2]=2;h[w>>3]=+h[n>>3];h[w+24>>3]=+h[j+80>>3]*.5+ +h[j+24>>3];h[w+8>>3]=+h[b+48>>3];i=f+56|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=1;break}else{c[i>>2]=8;h[w+16>>3]=+h[n>>3];h[w+24>>3]=+h[j+80>>3]*.5+ +h[j+24>>3];h[w+8>>3]=+h[b+48>>3];i=f+56|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=1;break}}else{c[f+48>>2]=1;k=+h[w>>3];if(+h[n>>3]<+h[j+16>>3]){B=k+-1.0;m=+h[b+48>>3];b=w+16|0;k=+h[b>>3];A=+h[j+80>>3]*-.5+ +h[j+24>>3];A=A-+((c[(c[(ro(y)|0)+16>>2]|0)+252>>2]|0)/2|0|0);i=c[s>>2]|0;h[b>>3]=+h[i+16>>3]-+h[i+88>>3];h[w+8>>3]=m;h[w+24>>3]=+h[i+80>>3]*.5+ +h[i+24>>3];h[w>>3]=B;h[f+56>>3]=B;h[f+64>>3]=A;h[f+72>>3]=k;h[f+80>>3]=m;i=f+88|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=2;break}else{B=+h[b+48>>3];i=w+16|0;A=+h[i>>3]+1.0;m=+h[j+80>>3]*-.5+ +h[j+24>>3];m=m-+((c[(c[(ro(y)|0)+16>>2]|0)+252>>2]|0)/2|0|0);b=c[s>>2]|0;h[w>>3]=+h[b+96>>3]+ +h[b+16>>3];h[w+8>>3]=B;h[w+24>>3]=+h[b+80>>3]*.5+ +h[b+24>>3];h[i>>3]=A;h[f+56>>3]=k;h[f+64>>3]=m;h[f+72>>3]=A;h[f+80>>3]=B;i=f+88|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=2;break}}else{c[f+48>>2]=4;i=w+8|0;h[i>>3]=+h[(+h[i>>3]<+h[b+48>>3]?w:n)+8>>3];i=f+56|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=1}while(0);c[f+52>>2]=i;while(1){i=c[d+16>>2]|0;if(!(a[i+112>>0]|0))break;d=c[i+116>>2]|0}a[((y|0)==(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)?i+56|0:i+16|0)+30>>0]=0;c[f+48>>2]=v}else{j=4;x=47}break}case 2:{v=a[(c[u>>2]|0)+89>>0]|0;j=v&255;if(!(v<<24>>24))x=46;else{c[w>>2]=c[f>>2];c[w+4>>2]=c[f+4>>2];c[w+8>>2]=c[f+8>>2];c[w+12>>2]=c[f+12>>2];c[w+16>>2]=c[f+16>>2];c[w+20>>2]=c[f+20>>2];c[w+24>>2]=c[f+24>>2];c[w+28>>2]=c[f+28>>2];do if(!(j&4)){if(j&1|0)if((c[f+48>>2]|0)==4){k=+h[w>>3]+-1.0;i=c[s>>2]|0;B=+h[i+24>>3]-+h[i+80>>3]*.5;A=+h[n>>3];m=B-+((c[(c[(ro(y)|0)+16>>2]|0)+252>>2]|0)/2|0|0);i=c[s>>2]|0;h[w+16>>3]=+h[i+16>>3]+-2.0-+h[i+88>>3];h[w+8>>3]=B;h[w+24>>3]=+h[i+80>>3]*.5+ +h[i+24>>3];h[w>>3]=k;h[f+56>>3]=k;h[f+64>>3]=m;h[f+72>>3]=A;h[f+80>>3]=B;i=f+88|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=2;break}else{i=w+24|0;h[i>>3]=+h[(+h[i>>3]>+h[b+8>>3]?w+16|0:b)+8>>3];i=f+56|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=1;break}k=+h[n>>3];if(!(j&8)){h[w>>3]=k+-1.0;e=c[s>>2]|0;k=+h[e+24>>3];m=+h[e+80>>3]*.5;if((c[f+48>>2]|0)==4){h[w+24>>3]=m+k;k=+h[b+48>>3]+-1.0;i=w}else{h[w+8>>3]=k-m;k=+h[b+48>>3];i=w+16|0}h[i+8>>3]=k;i=f+56|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=1;break}else{i=w+16|0;h[i>>3]=k+1.0;e=c[s>>2]|0;k=+h[e+24>>3];m=+h[e+80>>3]*.5;if((c[f+48>>2]|0)==4){h[w+24>>3]=m+k;k=+h[b+48>>3]+-1.0;i=w}else{h[w+8>>3]=k-m;k=+h[b+48>>3]+1.0}h[i+8>>3]=k;i=f+56|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=1;break}}else{i=w+8|0;h[i>>3]=+h[(+h[i>>3]<+h[b+48>>3]?w:n)+8>>3];i=f+56|0;c[i>>2]=c[w>>2];c[i+4>>2]=c[w+4>>2];c[i+8>>2]=c[w+8>>2];c[i+12>>2]=c[w+12>>2];c[i+16>>2]=c[w+16>>2];c[i+20>>2]=c[w+20>>2];c[i+24>>2]=c[w+24>>2];c[i+28>>2]=c[w+28>>2];i=1}while(0);c[f+52>>2]=i;while(1){i=c[d+16>>2]|0;if(!(a[i+112>>0]|0))break;d=c[i+116>>2]|0}a[((y|0)==(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)?i+56|0:i+16|0)+30>>0]=0;c[f+48>>2]=j}break}default:x=46}if((x|0)==46){j=c[f+48>>2]|0;x=47}a:do if((x|0)==47){if(o){d=f+56|0;i=f+52|0;j=db[o&3](y,(c[u>>2]|0)+56|0,j,d,i)|0;if(j){c[f+48>>2]=j;break}}else{i=f+52|0;d=f+56|0};c[d>>2]=c[f>>2];c[d+4>>2]=c[f+4>>2];c[d+8>>2]=c[f+8>>2];c[d+12>>2]=c[f+12>>2];c[d+16>>2]=c[f+16>>2];c[d+20>>2]=c[f+20>>2];c[d+24>>2]=c[f+24>>2];c[d+28>>2]=c[f+28>>2];c[i>>2]=1;switch(e|0){case 8:{ma(123205,91558,765,91602);break}case 2:{h[((c[f+48>>2]|0)==4?f+56|0:f+72|0)+8>>3]=+h[b+48>>3];break a}case 1:{h[f+64>>3]=+h[b+48>>3];c[f+48>>2]=4;break a}default:break a}}while(0);l=z;return}function Qz(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0;g=c[b+16>>2]|0;i=c[g+96>>2]|0;if((a[g+44>>0]|0)==0?(a[g+84>>0]|0)==0:0)j=6;else{d=a[g+49>>0]|0;e=d&255;if(((e&8|0)==0?(f=a[g+89>>0]|0,(f&8)==0):0)?((e&5|0)==0?1:d<<24>>24!=f<<24>>24):0)j=6;else b=0}if((j|0)==6)if(!i)b=18;else{b=(c[(c[(ro(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0)+16>>2]|0)+116>>2]&1|0)!=0;b=~~(+h[(b?i+32|0:i+24|0)>>3]+18.0)}return b|0}function Rz(b,d,e,f,g,h,i){b=b|0;d=d|0;e=e|0;f=f|0;g=+g;h=+h;i=i|0;var j=0,k=0,l=0,m=0;b=c[(c[d+(e<<2)>>2]|0)+16>>2]|0;if((a[b+44>>0]|0)==0?(a[b+84>>0]|0)==0:0)l=6;else l=3;do if((l|0)==3){j=a[b+49>>0]|0;k=j&255;if(!(k&8)){m=a[b+89>>0]|0;if((m&8)==0?((k&5|0)==0?1:j<<24>>24!=m<<24>>24):0){l=6;break}if(!(a[b+89>>0]&8)){if(k&4|0){Tz(d,e,f,g,h,i);break}if(!(k&1))ma(123205,91558,1231,91610);else{Vz(d,e,f,g,h,i);break}}}if((j&2)==0?(a[b+89>>0]&2)==0:0){Uz(d,e,f,g,h,i);break}Tz(d,e,f,g,h,i)}while(0);if((l|0)==6)Sz(d,e,f,g,h,i);return}function Sz(b,e,f,g,i,j){b=b|0;e=e|0;f=f|0;g=+g;i=+i;j=j|0;var k=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0,r=0,s=0,t=0,u=0,v=0.0,w=0,x=0,y=0,z=0.0,A=0,B=0,C=0.0,D=0,E=0.0,F=0.0,G=0.0,H=0.0,I=0.0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0.0,R=0.0,S=0;P=l;l=l+16080|0;L=P+80|0;M=P+64|0;N=P+48|0;O=P+32|0;J=P+16|0;K=P;B=c[b+(e<<2)>>2]|0;n=i*.5/+(f|0);n=n>2.0?n:2.0;D=(c[((c[B>>2]&3|0)==3?B:B+48|0)+40>>2]|0)+16|0;A=c[D>>2]|0;C=+h[A+16>>3];H=+h[A+24>>3];B=c[B+16>>2]|0;m=+h[B+16>>3];E=m+C;F=+h[B+24>>3]+H;i=+h[B+56>>3];G=i+C;H=+h[B+64>>3]+H;k=!(F>=H)?-1:1;p=+h[A+96>>3];switch(Wz(d[B+49>>0]|0,d[B+89>>0]|0)|0){case 65:case 32:{if(F==H)k=0-k|0;break}default:{}}Q=(p-m)*3.0;m=(p-i)*3.0;v=n*+(k|0);u=L+8|0;w=L+16|0;x=L+32|0;y=L+48|0;z=(H+F)*.5;A=L+64|0;B=L+80|0;s=L+96|0;t=L+104|0;r=0;o=0.0;i=p;n=p<Q?p:Q;m=p<m?p:m;while(1){if((r|0)>=(f|0))break;q=e+1|0;e=c[b+(e<<2)>>2]|0;p=i+g;n=n+g;m=m+g;o=o+v;h[L>>3]=E;h[u>>3]=F;Q=o+F;Xz(M,n*.3333333333333333+E,Q);c[w>>2]=c[M>>2];c[w+4>>2]=c[M+4>>2];c[w+8>>2]=c[M+8>>2];c[w+12>>2]=c[M+12>>2];R=p+C;Xz(N,R,Q);c[x>>2]=c[N>>2];c[x+4>>2]=c[N+4>>2];c[x+8>>2]=c[N+8>>2];c[x+12>>2]=c[N+12>>2];Xz(O,R,z);c[y>>2]=c[O>>2];c[y+4>>2]=c[O+4>>2];c[y+8>>2]=c[O+8>>2];c[y+12>>2]=c[O+12>>2];Q=H-o;Xz(J,R,Q);c[A>>2]=c[J>>2];c[A+4>>2]=c[J+4>>2];c[A+8>>2]=c[J+8>>2];c[A+12>>2]=c[J+12>>2];Xz(K,m*.3333333333333333+G,Q);c[B>>2]=c[K>>2];c[B+4>>2]=c[K+4>>2];c[B+8>>2]=c[K+8>>2];c[B+12>>2]=c[K+12>>2];h[s>>3]=G;h[t>>3]=H;k=e+16|0;if((c[(c[k>>2]|0)+96>>2]|0)!=0?(S=(c[(c[(ro(c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0)|0)+16>>2]|0)+116>>2]&1|0)==0,k=c[(c[k>>2]|0)+96>>2]|0,I=+h[(S?k+24|0:k+32|0)>>3],S=c[D>>2]|0,h[k+56>>3]=I*.5+p+ +h[S+16>>3],h[k+64>>3]=+h[S+24>>3],a[k+81>>0]=1,I>g):0)i=I+i;else i=p;Jz(e,c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0,L,7,j);e=q;r=r+1|0}l=P;return}function Tz(b,e,f,g,i,j){b=b|0;e=e|0;f=f|0;g=+g;i=+i;j=j|0;var k=0.0,m=0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0.0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0.0,B=0,C=0,D=0.0,E=0,F=0.0,G=0.0,H=0.0,I=0.0,J=0.0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0.0,S=0;Q=l;l=l+16080|0;M=Q+80|0;N=Q+64|0;O=Q+48|0;P=Q+32|0;K=Q+16|0;L=Q;C=c[b+(e<<2)>>2]|0;q=g*.5/+(f|0);q=q>2.0?q:2.0;E=(c[((c[C>>2]&3|0)==3?C:C+48|0)+40>>2]|0)+16|0;m=c[E>>2]|0;H=+h[m+16>>3];D=+h[m+24>>3];C=c[C+16>>2]|0;k=+h[C+16>>3];p=+h[C+24>>3];F=k+H;G=p+D;g=+h[C+56>>3];o=+h[C+64>>3];H=g+H;I=o+D;n=!(F>=H)?-1.0:1.0;s=+h[m+80>>3]*.5;switch(Wz(d[C+49>>0]|0,d[C+89>>0]|0)|0){case 15:{k=(q-g+ +h[m+96>>3])*n;break}case 38:{k=(g+q+ +h[m+88>>3])*n;break}case 41:{k=(q-k+ +h[m+96>>3])*n;break}case 48:{k=(q-k+ +h[m+96>>3])*n;break}case 58:case 57:case 51:case 47:case 37:case 14:{k=n*.3333333333333333*(k-g+ +h[m+88>>3]+ +h[m+96>>3]);break}case 73:{k=(k+q+ +h[m+88>>3])*n;break}case 83:{k=(+h[m+88>>3]+k)*n;break}case 84:{k=((k-g+ +h[m+88>>3]+ +h[m+96>>3])*.5+q)*n;break}case 85:case 75:case 74:{k=((k-g+ +h[m+88>>3]+ +h[m+96>>3])*.5+q*2.0)*n;break}default:k=0.0}p=(s-p)*3.0;o=(s-o)*3.0;q=n*q;w=M+8|0;x=M+16|0;y=M+32|0;z=M+48|0;A=(H+F)*.5;B=M+64|0;C=M+80|0;u=M+96|0;v=M+104|0;t=0;g=s;p=s<p?s:p;n=s<o?s:o;while(1){if((t|0)>=(f|0))break;r=e+1|0;e=c[b+(e<<2)>>2]|0;o=g+i;p=p+i;n=n+i;k=k+q;h[M>>3]=F;h[w>>3]=G;s=k+F;Xz(N,s,p*.3333333333333333+G);c[x>>2]=c[N>>2];c[x+4>>2]=c[N+4>>2];c[x+8>>2]=c[N+8>>2];c[x+12>>2]=c[N+12>>2];R=o+D;Xz(O,s,R);c[y>>2]=c[O>>2];c[y+4>>2]=c[O+4>>2];c[y+8>>2]=c[O+8>>2];c[y+12>>2]=c[O+12>>2];Xz(P,A,R);c[z>>2]=c[P>>2];c[z+4>>2]=c[P+4>>2];c[z+8>>2]=c[P+8>>2];c[z+12>>2]=c[P+12>>2];s=H-k;Xz(K,s,R);c[B>>2]=c[K>>2];c[B+4>>2]=c[K+4>>2];c[B+8>>2]=c[K+8>>2];c[B+12>>2]=c[K+12>>2];Xz(L,s,n*.3333333333333333+I);c[C>>2]=c[L>>2];c[C+4>>2]=c[L+4>>2];c[C+8>>2]=c[L+8>>2];c[C+12>>2]=c[L+12>>2];h[u>>3]=H;h[v>>3]=I;m=e+16|0;if((c[(c[m>>2]|0)+96>>2]|0)!=0?(S=(c[(c[(ro(c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0)|0)+16>>2]|0)+116>>2]&1|0)==0,m=c[(c[m>>2]|0)+96>>2]|0,J=+h[(S?m+32|0:m+24|0)>>3],S=c[E>>2]|0,h[m+64>>3]=J*.5+o+ +h[S+24>>3],h[m+56>>3]=+h[S+16>>3],a[m+81>>0]=1,J>i):0)g=J+g;else g=o;Jz(e,c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0,M,7,j);e=r;t=t+1|0}l=Q;return}function Uz(b,e,f,g,i,j){b=b|0;e=e|0;f=f|0;g=+g;i=+i;j=j|0;var k=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0,r=0,s=0,t=0,u=0,v=0.0,w=0,x=0,y=0,z=0.0,A=0,B=0,C=0.0,D=0,E=0.0,F=0.0,G=0.0,H=0.0,I=0.0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0.0,R=0.0,S=0;P=l;l=l+16080|0;L=P+80|0;M=P+64|0;N=P+48|0;O=P+32|0;J=P+16|0;K=P;B=c[b+(e<<2)>>2]|0;n=i*.5/+(f|0);n=n>2.0?n:2.0;D=(c[((c[B>>2]&3|0)==3?B:B+48|0)+40>>2]|0)+16|0;A=c[D>>2]|0;C=+h[A+16>>3];H=+h[A+24>>3];B=c[B+16>>2]|0;m=+h[B+16>>3];E=m+C;F=+h[B+24>>3]+H;i=+h[B+56>>3];G=i+C;H=+h[B+64>>3]+H;k=!(F>=H)?-1:1;p=+h[A+88>>3];switch(Wz(d[B+49>>0]|0,d[B+89>>0]|0)|0){case 67:case 12:{if(F==H)k=0-k|0;break}default:{}}Q=(m+p)*3.0;m=(i+p)*3.0;v=n*+(k|0);u=L+8|0;w=L+16|0;x=L+32|0;y=L+48|0;z=(H+F)*.5;A=L+64|0;B=L+80|0;s=L+96|0;t=L+104|0;r=0;o=0.0;i=p;n=p<Q?p:Q;m=p<m?p:m;while(1){if((r|0)>=(f|0))break;q=e+1|0;e=c[b+(e<<2)>>2]|0;p=i+g;n=n+g;m=m+g;o=o+v;h[L>>3]=E;h[u>>3]=F;Q=o+F;Xz(M,E-n*.3333333333333333,Q);c[w>>2]=c[M>>2];c[w+4>>2]=c[M+4>>2];c[w+8>>2]=c[M+8>>2];c[w+12>>2]=c[M+12>>2];R=C-p;Xz(N,R,Q);c[x>>2]=c[N>>2];c[x+4>>2]=c[N+4>>2];c[x+8>>2]=c[N+8>>2];c[x+12>>2]=c[N+12>>2];Xz(O,R,z);c[y>>2]=c[O>>2];c[y+4>>2]=c[O+4>>2];c[y+8>>2]=c[O+8>>2];c[y+12>>2]=c[O+12>>2];Q=H-o;Xz(J,R,Q);c[A>>2]=c[J>>2];c[A+4>>2]=c[J+4>>2];c[A+8>>2]=c[J+8>>2];c[A+12>>2]=c[J+12>>2];Xz(K,G-m*.3333333333333333,Q);c[B>>2]=c[K>>2];c[B+4>>2]=c[K+4>>2];c[B+8>>2]=c[K+8>>2];c[B+12>>2]=c[K+12>>2];h[s>>3]=G;h[t>>3]=H;k=e+16|0;if((c[(c[k>>2]|0)+96>>2]|0)!=0?(S=(c[(c[(ro(c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0)|0)+16>>2]|0)+116>>2]&1|0)==0,k=c[(c[k>>2]|0)+96>>2]|0,I=+h[(S?k+24|0:k+32|0)>>3],S=c[D>>2]|0,h[k+56>>3]=I*-.5-p+ +h[S+16>>3],h[k+64>>3]=+h[S+24>>3],a[k+81>>0]=1,I>g):0)i=I+i;else i=p;Jz(e,c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0,L,7,j);e=q;r=r+1|0}l=P;return}function Vz(b,e,f,g,i,j){b=b|0;e=e|0;f=f|0;g=+g;i=+i;j=j|0;var k=0.0,m=0.0,n=0.0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0,v=0.0,w=0,x=0.0,y=0.0,z=0.0,A=0.0,B=0.0,C=0,D=0,E=0,F=0.0,G=0,H=0,I=0.0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0.0,R=0.0,S=0;P=l;l=l+16080|0;L=P+80|0;M=P+64|0;N=P+48|0;O=P+32|0;J=P+16|0;K=P;C=c[b+(e<<2)>>2]|0;B=g*.5/+(f|0);w=(c[((c[C>>2]&3|0)==3?C:C+48|0)+40>>2]|0)+16|0;D=c[w>>2]|0;z=+h[D+16>>3];v=+h[D+24>>3];C=c[C+16>>2]|0;m=+h[C+24>>3];x=+h[C+16>>3]+z;y=m+v;n=+h[C+64>>3];z=+h[C+56>>3]+z;A=n+v;u=!(x>=z)?-1:1;o=+h[D+80>>3]*.5;C=(Wz(d[C+49>>0]|0,d[C+89>>0]|0)|0)==67;m=(m+o)*3.0;n=(n+o)*3.0;B=(B>2.0?B:2.0)*+((C?0-u|0:u)|0);u=L+8|0;C=L+16|0;D=L+32|0;E=L+48|0;F=(z+x)*.5;G=L+64|0;H=L+80|0;s=L+96|0;t=L+104|0;g=o;k=0.0;m=o<m?o:m;n=o<n?o:n;q=0;while(1){if((q|0)>=(f|0))break;r=e+1|0;p=c[b+(e<<2)>>2]|0;o=g+i;m=m+i;n=n+i;k=k+B;h[L>>3]=x;h[u>>3]=y;Q=k+x;Xz(M,Q,y-m*.3333333333333333);c[C>>2]=c[M>>2];c[C+4>>2]=c[M+4>>2];c[C+8>>2]=c[M+8>>2];c[C+12>>2]=c[M+12>>2];R=v-o;Xz(N,Q,R);c[D>>2]=c[N>>2];c[D+4>>2]=c[N+4>>2];c[D+8>>2]=c[N+8>>2];c[D+12>>2]=c[N+12>>2];Xz(O,F,R);c[E>>2]=c[O>>2];c[E+4>>2]=c[O+4>>2];c[E+8>>2]=c[O+8>>2];c[E+12>>2]=c[O+12>>2];Q=z-k;Xz(J,Q,R);c[G>>2]=c[J>>2];c[G+4>>2]=c[J+4>>2];c[G+8>>2]=c[J+8>>2];c[G+12>>2]=c[J+12>>2];Xz(K,Q,A-n*.3333333333333333);c[H>>2]=c[K>>2];c[H+4>>2]=c[K+4>>2];c[H+8>>2]=c[K+8>>2];c[H+12>>2]=c[K+12>>2];h[s>>3]=z;h[t>>3]=A;e=p+16|0;if((c[(c[e>>2]|0)+96>>2]|0)!=0?(S=(c[(c[(ro(c[((c[p>>2]&3|0)==3?p:p+48|0)+40>>2]|0)|0)+16>>2]|0)+116>>2]&1|0)==0,e=c[(c[e>>2]|0)+96>>2]|0,I=+h[(S?e+32|0:e+24|0)>>3],S=c[w>>2]|0,h[e+64>>3]=I*-.5-o+ +h[S+24>>3],h[e+56>>3]=+h[S+16>>3],a[e+81>>0]=1,I>i):0)g=I+g;else g=o;Jz(p,c[((c[p>>2]&3|0)==2?p:p+-48|0)+40>>2]|0,L,7,j);e=r;q=q+1|0}l=P;return}function Wz(a,b){a=a|0;b=b|0;var d=0;d=0;while(1){if((d|0)>=8){b=-1;break}if((c[21064+(d<<2)>>2]|0)==(b|0)){b=d;break}d=d+1|0}d=0;while(1){if((d|0)>=8){d=-1;break}if((c[21064+(d<<2)>>2]|0)==(a|0))break;d=d+1|0}if((d|b|0)<0)d=0;else d=c[21096+(d<<5)+(b<<2)>>2]|0;return d|0}function Xz(a,b,c){a=a|0;b=+b;c=+c;h[a>>3]=b;h[a+8>>3]=c;return}function Yz(b){b=b|0;var d=0,e=0;if((c[42247]|0)!=0|(c[42246]|0)!=0){d=b+16|0;e=c[(c[d>>2]|0)+100>>2]|0;if((e|0?(a[e+81>>0]|0)==0:0)?Zz(b,1)|0:0){e=ro(c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)|0;bB(e,c[(c[d>>2]|0)+100>>2]|0)}e=c[(c[d>>2]|0)+104>>2]|0;if((e|0?(a[e+81>>0]|0)==0:0)?Zz(b,0)|0:0){e=ro(c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)|0;bB(e,c[(c[d>>2]|0)+104>>2]|0)}}return}function Zz(b,d){b=b|0;d=d|0;var e=0,f=0.0,g=0.0,i=0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0;q=l;l=l+96|0;o=q+32|0;m=q+16|0;n=q;i=b+16|0;do if((a[(c[i>>2]|0)+112>>0]|0)!=6){e=c[42247]|0;if(!((e|0)!=0?(a[(Jm(b,e)|0)>>0]|0)!=0:0)){e=c[42246]|0;if(!e){e=0;break}if(!(a[(Jm(b,e)|0)>>0]|0)){e=0;break}}d=d<<24>>24==0;p=c[i>>2]|0;p=c[(d?p+104|0:p+100|0)>>2]|0;e=_z(b)|0;if(e){k=c[e>>2]|0;do if(d){if(c[k+8>>2]|0){e=c[k>>2]|0;j=+h[e>>3];g=+h[k+16>>3];e=e+8|0;f=+h[k+24>>3];break}e=c[k>>2]|0;g=+h[e>>3];f=+h[e+8>>3];e=0;while(1){if((e|0)==4)break;n=o+(e<<4)|0;i=(c[k>>2]|0)+(e<<4)|0;c[n>>2]=c[i>>2];c[n+4>>2]=c[i+4>>2];c[n+8>>2]=c[i+8>>2];c[n+12>>2]=c[i+12>>2];e=e+1|0}PA(m,o,3,.1,0,0);j=+h[m>>3];e=m+8|0}else{d=(c[e+4>>2]|0)+-1|0;i=k+(d*48|0)|0;if(c[k+(d*48|0)+12>>2]|0){o=c[i>>2]|0;e=(c[k+(d*48|0)+4>>2]|0)+-1|0;j=+h[o+(e<<4)>>3];g=+h[k+(d*48|0)+32>>3];e=o+(e<<4)+8|0;f=+h[k+(d*48|0)+40>>3];break}m=c[i>>2]|0;d=k+(d*48|0)+4|0;e=(c[d>>2]|0)+-1|0;g=+h[m+(e<<4)>>3];f=+h[m+(e<<4)+8>>3];e=0;while(1){if((e|0)==4)break;m=o+(e<<4)|0;k=(c[i>>2]|0)+(e+-4+(c[d>>2]|0)<<4)|0;c[m>>2]=c[k>>2];c[m+4>>2]=c[k+4>>2];c[m+8>>2]=c[k+8>>2];c[m+12>>2]=c[k+12>>2];e=e+1|0}PA(n,o,3,.9,0,0);j=+h[n>>3];e=n+8|0}while(0);r=+K(+(+h[e>>3]-f),+(j-g));r=+EA(b,c[42247]|0,-25.0,-180.0)*.017453292519943295+r;j=+EA(b,c[42246]|0,1.0,0.0)*10.0;h[p+56>>3]=j*+E(+r)+g;h[p+64>>3]=+F(+r)*j+f;a[p+81>>0]=1;e=1}else e=0}else e=0;while(0);l=q;return e|0}function _z(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;h=l;l=l+16|0;f=h;d=b;while(1){e=c[d+16>>2]|0;d=c[e+8>>2]|0;if(d|0)break;if(!(a[e+112>>0]|0)){g=5;break}d=c[e+116>>2]|0}if((g|0)==5){g=Dn(c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)|0;d=Dn(c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0;c[f>>2]=g;c[f+4>>2]=d;_l(1,91623,f)|0;d=0}l=h;return d|0}function $z(a,d,e){a=a|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0.0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0.0,u=0.0;s=l;l=l+96|0;m=s+80|0;n=s+64|0;o=s+48|0;p=s+32|0;q=s+16|0;r=s;k=b[(c[d+16>>2]|0)+136>>1]|0;d=e+16|0;aA(c[(c[d>>2]|0)+8>>2]|0,p,q);f=+h[p>>3];g=+h[q>>3];t=f-g;i=+h[p+8>>3];j=+h[q+8>>3];u=i-j;a:do if(u*u+t*t<1.0e-06){c[o>>2]=c[p>>2];c[o+4>>2]=c[p+4>>2];c[o+8>>2]=c[p+8>>2];c[o+12>>2]=c[p+12>>2]}else switch(k&14){case 4:case 10:{h[n>>3]=(g+f)*.5;h[n+8>>3]=(j+i)*.5;q=c[(c[d>>2]|0)+8>>2]|0;c[m>>2]=c[n>>2];c[m+4>>2]=c[n+4>>2];c[m+8>>2]=c[n+8>>2];c[m+12>>2]=c[n+12>>2];VA(r,q,m);c[o>>2]=c[r>>2];c[o+4>>2]=c[r+4>>2];c[o+8>>2]=c[r+8>>2];c[o+12>>2]=c[r+12>>2];break a}default:{bA(o,c[(c[d>>2]|0)+8>>2]|0,p,q);break a}}while(0);c[a>>2]=c[o>>2];c[a+4>>2]=c[o+4>>2];c[a+8>>2]=c[o+8>>2];c[a+12>>2]=c[o+12>>2];l=s;return}function aA(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;h=l;l=l+32|0;g=h+16|0;f=h;j=c[a>>2]|0;e=c[j>>2]|0;i=c[j+8>>2]|0;k=j+16|0;c[g>>2]=c[k>>2];c[g+4>>2]=c[k+4>>2];c[g+8>>2]=c[k+8>>2];c[g+12>>2]=c[k+12>>2];j=j+32|0;c[f>>2]=c[j>>2];c[f+4>>2]=c[j+4>>2];c[f+8>>2]=c[j+8>>2];c[f+12>>2]=c[j+12>>2];if(!i){c[b>>2]=c[e>>2];c[b+4>>2]=c[e+4>>2];c[b+8>>2]=c[e+8>>2];c[b+12>>2]=c[e+12>>2]}else{c[b>>2]=c[g>>2];c[b+4>>2]=c[g+4>>2];c[b+8>>2]=c[g+8>>2];c[b+12>>2]=c[g+12>>2]}i=c[a>>2]|0;j=(c[a+4>>2]|0)+-1|0;e=c[i+(j*48|0)>>2]|0;a=c[i+(j*48|0)+4>>2]|0;k=c[i+(j*48|0)+12>>2]|0;b=i+(j*48|0)+16|0;c[g>>2]=c[b>>2];c[g+4>>2]=c[b+4>>2];c[g+8>>2]=c[b+8>>2];c[g+12>>2]=c[b+12>>2];j=i+(j*48|0)+32|0;c[f>>2]=c[j>>2];c[f+4>>2]=c[j+4>>2];c[f+8>>2]=c[j+8>>2];c[f+12>>2]=c[j+12>>2];if(!k){k=e+(a+-1<<4)|0;c[d>>2]=c[k>>2];c[d+4>>2]=c[k+4>>2];c[d+8>>2]=c[k+8>>2];c[d+12>>2]=c[k+12>>2]}else{c[d>>2]=c[f>>2];c[d+4>>2]=c[f+4>>2];c[d+8>>2]=c[f+8>>2];c[d+12>>2]=c[f+12>>2]}l=h;return}function bA(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0.0,i=0,j=0,k=0,l=0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0.0;r=c[b+4>>2]|0;g=0.0;f=0;while(1){if((f|0)>=(r|0))break;l=c[b>>2]|0;k=c[l+(f*48|0)>>2]|0;l=c[l+(f*48|0)+4>>2]|0;i=3;j=0;while(1){if((i|0)>=(l|0))break;q=+h[k+(j<<4)>>3]-+h[k+(i<<4)>>3];p=+h[k+(j<<4)+8>>3]-+h[k+(i<<4)+8>>3];i=i+3|0;j=j+3|0;g=+C(+(p*p+q*q))+g}f=f+1|0}l=0;g=g*.5;a:while(1){if((l|0)>=(r|0)){f=15;break}k=c[b>>2]|0;j=c[k+(l*48|0)>>2]|0;k=c[k+(l*48|0)+4>>2]|0;f=3;i=0;while(1){if((f|0)>=(k|0))break;m=+h[j+(i<<4)>>3];p=+h[j+(i<<4)+8>>3];n=+h[j+(f<<4)>>3];o=+h[j+(f<<4)+8>>3];q=m-n;s=p-o;q=+C(+(s*s+q*q));if(q>=g){f=12;break a}f=f+3|0;i=i+3|0;g=g-q}l=l+1|0}if((f|0)==12){h[d>>3]=m;h[d+8>>3]=p;h[e>>3]=n;h[e+8>>3]=o;s=q-g;h[a>>3]=(s*m+n*g)/q;h[a+8>>3]=(s*p+o*g)/q;return}else if((f|0)==15)ma(123523,91558,1316,91685)}function cA(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;Yz(b);return}function dA(b,d,e,f,g){b=b|0;d=d|0;e=+e;f=f|0;g=g|0;var i=0.0,j=0.0,k=0.0,l=0.0,m=0.0,n=0,o=0,p=0.0,q=0.0,r=0.0,s=0,t=0.0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0.0,C=0.0,D=0,G=0,H=0,I=0,J=0,K=0,L=0;J=eA(b)|0;I=c[J+4>>2]|0;K=c[J>>2]|0;H=I+-1|0;B=+h[K+(H<<6)+16>>3];C=+(I|0);D=(g|0)==2;G=(f|0)!=0;n=0;j=0.0;i=0.0;l=0.0;m=0.0;while(1){if((n|0)>=(I|0))break;b=~~+fA(+(n+-1|0),C);A=n+1|0;L=~~+fA(+(A|0),C);o=K+(n<<6)|0;m=+h[o>>3];z=K+(n<<6)+8|0;l=+h[z>>3];s=K+(n<<6)+16|0;t=+h[s>>3];u=K+(n<<6)+24|0;v=K+(n<<6)+32|0;w=K+(n<<6)+40|0;x=K+(n<<6)+48|0;y=K+(n<<6)+56|0;k=+gA(+h[K+(L<<6)+8>>3]-l,+h[K+(L<<6)>>3]-m);q=+gA(+h[K+(b<<6)+8>>3]-l,+h[K+(b<<6)>>3]-m);r=+Za[d&7](t,B,e);b=(n|0)==0;do if(b|(n|0)==(H|0))if(b){i=k+1.5707963267948966;if(!D){b=0;p=i;j=r;break}b=0;p=i;j=r;l=l-+F(+k)*r;m=m-+E(+k)*r;break}else{i=q+-1.5707963267948966;if(!D){b=0;p=i;j=r;break}b=0;p=i;j=r;l=l-+F(+q)*r;m=m-+E(+q)*r;break}else{p=k-q;p=1.5707963267948966-(p<0.0?p+6.283185307179586:p)*.5;j=+E(+p);j=j==0.0?0.0:r/j;i=k+1.5707963267948966;k=p+i;if(G|j>r*10.0){q=+fA(q+-1.5707963267948966,6.283185307179586);b=1;p=+fA(i,6.283185307179586);j=r;i=q}else{b=0;p=k;i=k}}while(0);h[o>>3]=m;h[z>>3]=l;h[s>>3]=t;a[u>>0]=108;h[v>>3]=i;h[w>>3]=j;c[x>>2]=b;h[y>>3]=p;n=A}o=vw(12)|0;b=0;while(1){if((b|0)>=(I|0))break;m=+h[K+(b<<6)>>3];l=+h[K+(b<<6)+8>>3];i=+h[K+(b<<6)+32>>3];j=+h[K+(b<<6)+40>>3];L=c[K+(b<<6)+48>>2]|0;k=+h[K+(b<<6)+56>>3];hA(o,+E(+i)*j+m,+F(+i)*j+l);if(L|0)iA(m,l,j,1,i,k,f,o);b=b+1|0}n=(g|0)==1;k=i+3.141592653589793;if(n)jA(o,m,l,j,i,k);else{hA(o,+E(+k)*j+m,+F(+k)*j+l);i=k}b=I+-2|0;k=m;while(1){if((b|0)<=-1)break;m=+h[K+(b<<6)>>3];l=+h[K+(b<<6)+8>>3];j=+h[K+(b<<6)+40>>3];L=c[K+(b<<6)+48>>2]|0;i=+h[K+(b<<6)+32>>3]+3.141592653589793;k=+h[K+(b<<6)+56>>3]+3.141592653589793;hA(o,+E(+k)*j+m,+F(+k)*j+l);if(L|0)iA(m,l,j,0,i,k,f,o);b=b+-1|0;k=m}if(n)jA(o,k,l,j,i,i+3.141592653589793);kA(J);return o|0}function eA(a){a=a|0;var b=0.0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0.0;q=l;l=l+144|0;i=q+128|0;h=q+112|0;j=q+96|0;k=q+64|0;m=q;n=q+80|0;o=lA()|0;p=c[a+4>>2]|0;f=c[a>>2]|0;c[i>>2]=c[f>>2];c[i+4>>2]=c[f+4>>2];c[i+8>>2]=c[f+8>>2];c[i+12>>2]=c[f+12>>2];mA(o,i,0.0);g=m+48|0;c[g>>2]=c[f>>2];c[g+4>>2]=c[f+4>>2];c[g+8>>2]=c[f+8>>2];c[g+12>>2]=c[f+12>>2];d=0;b=0.0;a:while(1){e=d+3|0;if((e|0)>=(p|0))break;c[m>>2]=c[g>>2];c[m+4>>2]=c[g+4>>2];c[m+8>>2]=c[g+8>>2];c[m+12>>2]=c[g+12>>2];a=1;while(1){if((a|0)==4)break;r=m+(a<<4)|0;s=f+(a+d<<4)|0;c[r>>2]=c[s>>2];c[r+4>>2]=c[s+4>>2];c[r+8>>2]=c[s+8>>2];c[r+12>>2]=c[s+12>>2];a=a+1|0}c[j>>2]=c[m>>2];c[j+4>>2]=c[m+4>>2];c[j+8>>2]=c[m+8>>2];c[j+12>>2]=c[m+12>>2];a=1;while(1){if((a|0)==21){d=e;continue a}PA(n,m,3,+(a|0)*.05,0,0);c[k>>2]=c[n>>2];c[k+4>>2]=c[n+4>>2];c[k+8>>2]=c[n+8>>2];c[k+12>>2]=c[n+12>>2];c[h>>2]=c[j>>2];c[h+4>>2]=c[j+4>>2];c[h+8>>2]=c[j+8>>2];c[h+12>>2]=c[j+12>>2];c[i>>2]=c[n>>2];c[i+4>>2]=c[n+4>>2];c[i+8>>2]=c[n+8>>2];c[i+12>>2]=c[n+12>>2];t=+nA(h,i)+b;c[i>>2]=c[k>>2];c[i+4>>2]=c[k+4>>2];c[i+8>>2]=c[k+8>>2];c[i+12>>2]=c[k+12>>2];mA(o,i,t);c[j>>2]=c[k>>2];c[j+4>>2]=c[k+4>>2];c[j+8>>2]=c[k+8>>2];c[j+12>>2]=c[k+12>>2];a=a+1|0;b=t}}oA(o);l=q;return o|0}function fA(a,b){a=+a;b=+b;var c=0.0;c=a-+A(+(a/b))*b;return +(!(a<0.0)&!(a>=b)?a:c)}function gA(a,b){a=+a;b=+b;if(!(a==0.0&b==0.0)){a=+K(+a,+b);if(!(a>=0.0))a=a+6.283185307179586}else a=0.0;return +a}function hA(a,b,d){a=a|0;b=+b;d=+d;var e=0,f=0;e=c[a>>2]|0;f=a+4|0;if((e|0)<(c[f>>2]|0))f=c[a+8>>2]|0;else{c[f>>2]=2e3;e=a+8|0;f=yw(c[e>>2]|0,32e3)|0;c[e>>2]=f;e=c[a>>2]|0}c[a>>2]=e+1;h[f+(e<<4)>>3]=b;h[f+(e<<4)+8>>3]=d;return}function iA(a,b,c,d,e,f,g,h){a=+a;b=+b;c=+c;d=d|0;e=+e;f=+f;g=g|0;h=h|0;var i=0.0;d=(d|0)==0;i=d?e:f;do if((g|0)==1){e=(d?f:e)-i;e=!(e<=1.7453292519943296e-03)?e:e+6.283185307179586;if(e<3.141592653589793){jA(h,a,b,c,e+i,i);break}else{hA(h,+E(+i)*c+a,+F(+i)*c+a);break}}else hA(h,+E(+i)*c+a,+F(+i)*c+a);while(0);return}function jA(a,b,c,d,e,f){a=a|0;b=+b;c=+c;d=+d;e=+e;f=+f;var g=0,h=0.0;hA(a,+E(+e)*d+b,+F(+e)*d+c);a:do if(!(d==0.0)){while(1){if(!(f>e))break;f=f+-6.283185307179586}f=e-f;while(1){if(!(f>6.283185307179586))break;f=f+-6.283185307179586}f=f*.05263157894736842;g=1;while(1){if((g|0)==20)break a;h=e-f*+(g|0);hA(a,+E(+h)*d+b,+F(+h)*d+c);g=g+1|0}}while(0);return}function kA(a){a=a|0;_I(c[a>>2]|0);_I(a);return}function lA(){var a=0;a=vw(12)|0;c[a+4>>2]=0;c[a+8>>2]=2e3;c[a>>2]=vw(128e3)|0;return a|0}function mA(a,b,d){a=a|0;b=b|0;d=+d;var e=0,f=0,g=0,i=0;i=a+4|0;e=c[i>>2]|0;f=a+8|0;g=c[f>>2]|0;if((e|0)<(g|0))a=c[a>>2]|0;else{c[f>>2]=g<<1;e=yw(c[a>>2]|0,g<<7)|0;c[a>>2]=e;a=e;e=c[i>>2]|0}h[a+(e<<6)>>3]=+h[b>>3];h[a+(e<<6)+8>>3]=+h[b+8>>3];c[i>>2]=e+1;h[a+(e<<6)+16>>3]=d;return}function nA(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;c=+h[a>>3]-+h[b>>3];d=+h[a+8>>3]-+h[b+8>>3];return +(+C(+(d*d+c*c)))}function oA(a){a=a|0;var b=0;b=c[a+4>>2]|0;if((c[a+8>>2]|0)>(b|0))c[a>>2]=yw(c[a>>2]|0,b<<6)|0;return}function pA(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+16|0;j=k+8|0;i=k;g=k+12|0;c[g>>2]=0;h=c[d+4>>2]|0;if(!h)ma(91702,91713,203,91724);e=c[h>>2]|0;if(!e)ma(91738,91713,206,91724);f=h+8|0;if(!(c[f>>2]|0))c[f>>2]=qA(e)|0;if(!0)e=0;else{e=(Dv(c[h>>2]|0)|0)==0;e=e?0:g}if(!((vE(b,d,e)|0)<<24>>24))rA(d,e);do if(e|0){f=c[g>>2]|0;b=c[13918]|0;e=c[h>>2]|0;if(!f){c[j>>2]=e;zL(b,91781,j)|0;break}else{c[i>>2]=e;c[i+4>>2]=f;zL(b,91749,i)|0;break}}while(0);j=d+32|0;c[a>>2]=c[j>>2];c[a+4>>2]=c[j+4>>2];c[a+8>>2]=c[j+8>>2];c[a+12>>2]=c[j+12>>2];l=k;return}function qA(a){a=a|0;var b=0;b=c[42345]|0;if((b|0)!=0?(iK(b,a)|0)==0:0)a=c[42354]|0;else{_I(b);c[42345]=GL(a)|0;a=vM(169380,21352,35,36,29)|0;c[42354]=a}return a|0}function rA(b,d){b=b|0;d=d|0;var e=0,f=0.0,g=0,i=0.0,j=0,k=0.0;j=c[b+4>>2]|0;e=c[j>>2]|0;i=+h[j+16>>3];j=b+32|0;h[j>>3]=0.0;h[b+40>>3]=i*1.2;h[b+16>>3]=0.0;h[b+24>>3]=i*.1;c[b+8>>2]=0;c[b+12>>2]=0;if(pK(e,91815,4)|0)if((pK(e,91820,5)|0)!=0?(pK(e,91826,9)|0)!=0:0){g=4184;e=91836}else{g=8280;e=91872}else{g=6232;e=91853}if(d|0)c[d>>2]=e;e=c[b>>2]|0;if(e|0){f=0.0;while(1){b=a[e>>0]|0;if(!(b<<24>>24))break;k=f+ +h[g+((b&255)<<3)>>3];h[j>>3]=k;e=e+1|0;f=k}h[j>>3]=f*i}return}function sA(a,b){a=a|0;b=b|0;return iK(c[a>>2]|0,c[b>>2]|0)|0}function tA(a){a=a|0;var b=0;b=a+108|0;c[b>>2]=0;c[a+112>>2]=32;c[a+116>>2]=-1;c[a+120>>2]=14;c[a+124>>2]=58;c[a+128>>2]=20;c[a+132>>2]=0;c[a+136>>2]=0;c[a+140>>2]=0;b=Ql(b,c[4345]|0)|0;c[a+144>>2]=b;return b|0}function uA(a,b,d){a=a|0;b=b|0;d=d|0;d=$I(1,32)|0;a=c[b>>2]|0;if(a|0)c[d>>2]=GL(a)|0;a=c[b+4>>2]|0;if(a|0)c[d+4>>2]=GL(a)|0;c[d+24>>2]=c[b+24>>2]&127;h[d+16>>3]=+h[b+16>>3];c[d+8>>2]=c[b+8>>2];return d|0}function vA(a,b,d){a=a|0;b=b|0;d=d|0;_I(c[b>>2]|0);_I(c[b+4>>2]|0);_I(b);return}function wA(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0,j=0;a=c[b>>2]|0;e=c[d>>2]|0;i=(e|0)==0;if(!a)if(i)j=5;else a=-1;else if(!i){a=xJ(a,e)|0;if(!a)j=5}else a=1;do if((j|0)==5){a=c[b+4>>2]|0;e=c[d+4>>2]|0;i=(e|0)==0;if(!a){if(!i){a=-1;break}}else{if(i){a=1;break}a=xJ(a,e)|0;if(a|0)break}a=(c[b+24>>2]&127)-(c[d+24>>2]&127)|0;if(!a){g=+h[b+16>>3];f=+h[d+16>>3];if(g<f)a=-1;else a=g>f&1}}while(0);return a|0}function xA(){Wa(169420)|0;return}function yA(){var a=0,b=0;b=l;l=l+16|0;a=b;Wa(a|0)|0;l=b;return +(+((c[a+4>>2]|0)+(c[a>>2]|0)-(c[42355]|0)-(c[42356]|0)|0)*.016666666666666666)}function zA(a){a=a|0;var b=0,d=0;b=vw(16)|0;a=(a|0)>2?a:2;d=vw(a<<2)|0;c[b>>2]=d;c[b+12>>2]=d;c[b+8>>2]=d;c[b+4>>2]=d+(a<<2);return b|0}function AA(a){a=a|0;_I(c[a>>2]|0);_I(a);return}function BA(a,b){a=a|0;b=b|0;var d=0,e=0;d=a+12|0;e=c[d>>2]|0;c[d>>2]=e+4;c[e>>2]=b;if((c[d>>2]|0)>>>0>=(c[a+4>>2]|0)>>>0)c[d>>2]=c[a>>2];return}function CA(a){a=a|0;var b=0,d=0,e=0;d=a+8|0;b=c[d>>2]|0;if((b|0)!=(c[a+12>>2]|0)){e=b+4|0;c[d>>2]=e;b=c[b>>2]|0;if(e>>>0>=(c[a+4>>2]|0)>>>0)c[d>>2]=c[a>>2]}else b=0;return b|0}function DA(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0;i=l;l=l+16|0;g=i;if(((d|0)!=0?(h=Jm(b,d)|0,(h|0)!=0):0)?(a[h>>0]|0)!=0:0){d=BL(h,g,10)|0;e=(h|0)==(c[g>>2]|0)?e:(d|0)<(f|0)?f:d}l=i;return e|0}function EA(b,d,e,f){b=b|0;d=d|0;e=+e;f=+f;var g=0,h=0,i=0,j=0.0;i=l;l=l+16|0;g=i;if(((b|0)!=0&(d|0)!=0?(h=Jm(b,d)|0,(h|0)!=0):0)?(a[h>>0]|0)!=0:0){j=+tM(h,g);e=(h|0)==(c[g>>2]|0)?e:j<f?f:j}l=i;return +e}function FA(a,b,c){a=a|0;b=b|0;c=c|0;if((a|0)!=0&(b|0)!=0)c=Jm(a,b)|0;return c|0}function GA(b,c,d){b=b|0;c=c|0;d=d|0;b=FA(b,c,d)|0;if((b|0)!=0?(a[b>>0]|0)!=0:0)d=b;return d|0}function HA(a,b,c){a=a|0;b=b|0;c=c|0;if(!b)a=c&255;else a=IA(Jm(a,b)|0)|0;return a|0}function IA(a){a=a|0;return JA(a,0)|0}function JA(b,c){b=b|0;c=c|0;var d=0;if((b|0)!=0?(d=a[b>>0]|0,d<<24>>24!=0):0)if((iK(b,122100)|0)!=0?(iK(b,92682)|0)!=0:0)if((iK(b,92685)|0)!=0?(iK(b,92690)|0)!=0:0){if(((d<<24>>24)+-48|0)>>>0<10)c=(rM(b)|0)&255}else c=1;else c=0;return c|0}function KA(a){a=a|0;var b=0,d=0;while(1){b=(c[a+16>>2]|0)+220|0;d=c[b>>2]|0;if(!((d|0)!=(a|0)&(d|0)!=0))break;a=c[(c[d+16>>2]|0)+220>>2]|0;if(!a){a=d;continue}c[b>>2]=a}return a|0}function LA(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;if((a|0)!=(b|0)){d=c[a+16>>2]|0;e=d+220|0;if(!(c[e>>2]|0)){c[e>>2]=a;c[d+216>>2]=1}else a=KA(a)|0;d=c[b+16>>2]|0;e=d+220|0;if(!(c[e>>2]|0)){c[e>>2]=b;c[d+216>>2]=1}else{d=KA(b)|0;b=d;d=c[d+16>>2]|0}g=a+16|0;e=c[g>>2]|0;f=b+16|0;h=(c[e+120>>2]|0)>(c[d+120>>2]|0);a=h?b:a;c[(h?e:d)+220>>2]=a;e=(c[(h?f:g)>>2]|0)+216|0;c[e>>2]=(c[e>>2]|0)+(c[(c[(h?g:f)>>2]|0)+216>>2]|0)}return a|0}function MA(b){b=b|0;b=c[b+16>>2]|0;c[b+216>>2]=1;c[b+220>>2]=0;a[b+159>>0]=0;return}function NA(a,b){a=a|0;b=b|0;if((KA(a)|0)==(a|0)){a=c[a+16>>2]|0;c[a+220>>2]=b;b=(c[b+16>>2]|0)+216|0;c[b>>2]=(c[b>>2]|0)+(c[a+216>>2]|0);return}else ma(92702,92694,194,92718)}function OA(a,b){a=a|0;b=b|0;var d=0.0;b=c[(c[b+16>>2]|0)+132>>2]|0;d=+h[b+8>>3]*72.0;h[a>>3]=+h[b>>3]*72.0;h[a+8>>3]=d;return}function PA(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=+e;f=f|0;g=g|0;var i=0,j=0,k=0,m=0.0,n=0,o=0,p=0;o=l;l=l+576|0;n=o;i=0;while(1){if((i|0)>(d|0))break;k=n+(i<<4)|0;j=b+(i<<4)|0;c[k>>2]=c[j>>2];c[k+4>>2]=c[j+4>>2];c[k+8>>2]=c[j+8>>2];c[k+12>>2]=c[j+12>>2];i=i+1|0}m=1.0-e;i=1;while(1){if((i|0)>(d|0))break;j=d-i|0;k=i+-1|0;b=0;while(1){if((b|0)>(j|0))break;p=b+1|0;h[n+(i*96|0)+(b<<4)>>3]=+h[n+(k*96|0)+(p<<4)>>3]*e+ +h[n+(k*96|0)+(b<<4)>>3]*m;h[n+(i*96|0)+(b<<4)+8>>3]=+h[n+(k*96|0)+(p<<4)+8>>3]*e+ +h[n+(k*96|0)+(b<<4)+8>>3]*m;b=p}i=i+1|0}a:do if(f|0){i=0;while(1){if((i|0)>(d|0))break a;p=f+(i<<4)|0;k=n+(i*96|0)|0;c[p>>2]=c[k>>2];c[p+4>>2]=c[k+4>>2];c[p+8>>2]=c[k+8>>2];c[p+12>>2]=c[k+12>>2];i=i+1|0}}while(0);b:do if(g|0){i=0;while(1){if((i|0)>(d|0))break b;p=g+(i<<4)|0;f=n+((d-i|0)*96|0)+(i<<4)|0;c[p>>2]=c[f>>2];c[p+4>>2]=c[f+4>>2];c[p+8>>2]=c[f+8>>2];c[p+12>>2]=c[f+12>>2];i=i+1|0}}while(0);p=n+(d*96|0)|0;c[a>>2]=c[p>>2];c[a+4>>2]=c[p+4>>2];c[a+8>>2]=c[p+8>>2];c[a+12>>2]=c[p+12>>2];l=o;return}function QA(b){b=b|0;var d=0,e=0,f=0,g=0;e=0;do{d=c[42359]|0;f=d+1024|0;if((d-e|0)<1024){c[42359]=f;f=yw(c[42360]|0,f)|0;c[42360]=f;d=c[42359]|0}else f=c[42360]|0;d=gL(f+e|0,d-e|0,b)|0;if(!d){g=6;break}e=(rJ(d)|0)+e|0;d=c[42360]|0}while((a[d+(e+-1)>>0]|0)!=10);if((g|0)==6)d=c[42360]|0;return ((e|0)>0?d:0)|0}function RA(b){b=b|0;var d=0,e=0,f=0;f=l;l=l+16|0;do if((b|0)!=0?(a[b>>0]|0)!=0:0)if(!0){d=c[42178]|0;e=c[42362]|0;if((c[42361]|0)==(d|0))d=e;else{if(e){_I(c[e>>2]|0);_I(c[42362]|0);c[42362]=0;d=c[42178]|0}c[42361]=d;if(!d)break;if(!(a[d>>0]|0))break;d=SA(d)|0;c[42362]=d}if(!((a[b>>0]|0)!=47&(d|0)!=0))break;b=TA(d,c[42363]|0,b)|0;break}else S();else b=0;while(0);l=f;return b|0}function SA(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;e=0;f=0;g=0;b=GL(a)|0;d=0;while(1){b=DL(b,93017)|0;if(!b)break;a=(g<<2)+8|0;if(!f)a=ww(a)|0;else a=yw(d,a)|0;c[a+(g<<2)>>2]=b;f=rJ(b)|0;e=e>>>0>f>>>0?e:f;f=a;g=g+1|0;b=0;d=a}c[f+(g<<2)>>2]=0;c[42363]=e;return f|0}function TA(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;g=l;l=l+16|0;e=g;h=c[42364]|0;c[42364]=aJ(h,b+2+(rJ(d)|0)|0)|0;while(1){b=c[a>>2]|0;if(!b){a=0;break}h=c[42364]|0;c[e>>2]=b;c[e+4>>2]=93015;c[e+8>>2]=d;pL(h,93008,e)|0;if(!($L(c[42364]|0,4)|0)){f=4;break}else a=a+4|0}if((f|0)==4)a=c[42364]|0;l=g;return a|0}function UA(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;g=(b|0)==0;f=0;while(1){h=c[d+(f<<2)>>2]|0;if(!h)break;if((!g?(a[b>>0]|0)==(a[h>>0]|0):0)?(xJ(b,h)|0)==0:0)break;f=f+1|0}return c[e+(f<<2)>>2]|0}function VA(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0.0,i=0.0,j=0.0,k=0.0,m=0.0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,C=0;z=l;l=l+80|0;x=z+16|0;y=z;u=c[b+4>>2]|0;v=c[b>>2]|0;w=d+8|0;f=0;e=-1;g=1.e+38;b=-1;while(1){if((f|0)>=(u|0))break;s=c[v+(f*48|0)>>2]|0;t=c[v+(f*48|0)+4>>2]|0;r=0;while(1){if((r|0)>=(t|0))break;q=+h[s+(r<<4)>>3]-+h[d>>3];p=+h[s+(r<<4)+8>>3]-+h[w>>3];q=p*p+q*q;A=(e|0)==-1|q<g;C=A?r:e;r=r+1|0;b=A?f:b;e=C;g=A?q:g}f=f+1|0}f=c[v+(b*48|0)>>2]|0;e=e+(((e|0)==((c[v+(b*48|0)+4>>2]|0)+-1|0))<<31>>31)|0;e=e-((e|0)%3|0)|0;b=0;while(1){if((b|0)==4)break;C=b+e|0;h[x+(b<<4)>>3]=+h[f+(C<<4)>>3];h[x+(b<<4)+8>>3]=+h[f+(C<<4)+8>>3];b=b+1|0}q=+h[d>>3];k=+h[x>>3]-q;o=+h[w>>3];p=+h[x+8>>3]-o;j=+h[x+48>>3]-q;n=+h[x+56>>3]-o;b=y+8|0;g=1.0;i=0.0;j=n*n+j*j;k=p*p+k*k;while(1){p=(g+i)*.5;PA(y,x,3,p,0,0);m=+h[y>>3];n=+h[b>>3];if(+B(+(k-j))<1.0)break;if(+B(+(g-i))<1.0e-05)break;C=k<j;m=m-q;n=n-o;n=n*n+m*m;g=C?p:g;i=C?i:p;j=C?n:j;k=C?k:n}h[a>>3]=m;h[a+8>>3]=n;l=z;return}function WA(b){b=b|0;var d=0.0,e=0,f=0,g=0,i=0,j=0,k=0,l=0;d=+EA(b,c[42190]|0,.75,.01);g=b+16|0;h[(c[g>>2]|0)+32>>3]=d;d=+EA(b,c[42189]|0,.5,.02);h[(c[g>>2]|0)+40>>3]=d;l=Qy(GA(b,c[42191]|0,93019)|0,b)|0;c[(c[g>>2]|0)+8>>2]=l;l=Jm(b,c[42198]|0)|0;d=+EA(b,c[42194]|0,14.0,1.0);e=GA(b,c[42195]|0,93027)|0;f=GA(b,c[42196]|0,122106)|0;i=(cp(l)|0)!=0;k=(By(b)|0)==2;i=lw(b,l,(k?4:0)|(i?2:0),d,e,f)|0;c[(c[g>>2]|0)+104>>2]=i;i=c[42199]|0;if((i|0?(j=Jm(b,i)|0,j|0):0)?a[j>>0]|0:0){l=(cp(j)|0)!=0;l=lw(b,j,l?2:0,d,e,f)|0;c[(c[g>>2]|0)+108>>2]=l;l=(c[(ro(b)|0)+16>>2]|0)+113|0;a[l>>0]=a[l>>0]|16}k=(DA(b,c[42202]|0,0,0)|0)&255;l=c[g>>2]|0;a[l+144>>0]=k;gb[c[c[(c[l+8>>2]|0)+4>>2]>>2]&127](b);return}function XA(b){b=b|0;var d=0,e=0,f=0,g=0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0;v=l;l=l+112|0;m=v+96|0;n=v+80|0;s=v+40|0;u=v;r=b+48|0;p=ro(c[((c[b>>2]&3|0)==3?b:r)+40>>2]|0)|0;g=m+8|0;c[g>>2]=0;o=n+8|0;c[o>>2]=0;d=c[42226]|0;if(((d|0)!=0?(e=Jm(b,d)|0,(e|0)!=0):0)?(a[e>>0]|0)!=0:0){YA(b,m);t=(cp(e)|0)!=0;i=+h[m>>3];f=c[g>>2]|0;d=c[m+12>>2]|0;e=lw(b,e,t?2:0,i,f,d)|0;t=b+16|0;c[(c[t>>2]|0)+96>>2]=e;e=(c[p+16>>2]|0)+113|0;a[e>>0]=a[e>>0]|1;e=IA(FA(b,c[42236]|0,122100)|0)|0;a[(c[t>>2]|0)+114>>0]=e;t=1;e=f}else{t=0;d=0;i=0.0;e=0}f=c[42227]|0;if((f|0?(j=Jm(b,f)|0,j|0):0)?a[j>>0]|0:0){if(!e){YA(b,m);i=+h[m>>3];e=c[g>>2]|0;d=c[m+12>>2]|0}g=(cp(j)|0)!=0;j=lw(b,j,g?2:0,i,e,d)|0;c[(c[b+16>>2]|0)+108>>2]=j;j=(c[p+16>>2]|0)+113|0;a[j>>0]=a[j>>0]|32}d=c[42241]|0;if(((d|0)!=0?(k=Jm(b,d)|0,(k|0)!=0):0)?(a[k>>0]|0)!=0:0){ZA(b,m,n);j=(cp(k)|0)!=0;i=+h[n>>3];d=c[o>>2]|0;e=c[n+12>>2]|0;k=lw(b,k,j?2:0,i,d,e)|0;c[(c[b+16>>2]|0)+100>>2]=k;k=(c[p+16>>2]|0)+113|0;a[k>>0]=a[k>>0]|2}else{e=0;i=0.0;d=0}f=c[42242]|0;if((f|0?(q=Jm(b,f)|0,q|0):0)?a[q>>0]|0:0){if(!d){ZA(b,m,n);e=c[n+12>>2]|0;i=+h[n>>3];d=c[o>>2]|0}o=(cp(q)|0)!=0;q=lw(b,q,o?2:0,i,d,e)|0;c[(c[b+16>>2]|0)+104>>2]=q;q=(c[p+16>>2]|0)+113|0;a[q>>0]=a[q>>0]|4}d=Im(b,96242)|0;d=d|0?d:174181;if(a[d>>0]|0)a[(c[(c[((c[b>>2]&3|0)==3?b:r)+40>>2]|0)+16>>2]|0)+145>>0]=1;g=b+16|0;f=(c[g>>2]|0)+16|0;e=c[((c[b>>2]&3|0)==3?b:r)+40>>2]|0;_A(s,c[(c[(c[(c[e+16>>2]|0)+8>>2]|0)+4>>2]|0)+8>>2]|0,e,d);d=s;e=f+40|0;do{c[f>>2]=c[d>>2];f=f+4|0;d=d+4|0}while((f|0)<(e|0));if(($A(b,c[42248]|0)|0)<<24>>24)a[(c[g>>2]|0)+46>>0]=0;d=Im(b,96251)|0;d=d|0?d:174181;if(!(a[d>>0]|0))e=b+-48|0;else{e=b+-48|0;a[(c[(c[((c[b>>2]&3|0)==2?b:e)+40>>2]|0)+16>>2]|0)+145>>0]=1}f=(c[g>>2]|0)+56|0;e=c[((c[b>>2]&3|0)==2?b:e)+40>>2]|0;_A(u,c[(c[(c[(c[e+16>>2]|0)+8>>2]|0)+4>>2]|0)+8>>2]|0,e,d);d=u;e=f+40|0;do{c[f>>2]=c[d>>2];f=f+4|0;d=d+4|0}while((f|0)<(e|0));if(($A(b,c[42249]|0)|0)<<24>>24)a[(c[g>>2]|0)+86>>0]=0;l=v;return t|0}function YA(a,b){a=a|0;b=b|0;h[b>>3]=+EA(a,c[42223]|0,14.0,1.0);c[b+8>>2]=GA(a,c[42224]|0,93027)|0;c[b+12>>2]=GA(a,c[42225]|0,122106)|0;return}function ZA(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=b+8|0;if(!(c[e>>2]|0))YA(a,b);h[d>>3]=+EA(a,c[42243]|0,+h[b>>3],1.0);c[d+8>>2]=GA(a,c[42244]|0,c[e>>2]|0)|0;c[d+12>>2]=GA(a,c[42245]|0,c[b+12>>2]|0)|0;return}function _A(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+128|0;k=m+80|0;h=m+40|0;g=m;if((f|0)!=0?(j=WJ(f,58)|0,(j|0)!=0):0){a[j>>0]=0;i=j+1|0;kb[d&31](h,e,f,i);e=k;g=h;d=e+36|0;do{c[e>>2]=c[g>>2];e=e+4|0;g=g+4|0}while((e|0)<(d|0));a[j>>0]=58;f=i}else{kb[d&31](g,e,f,0);e=k;d=e+36|0;do{c[e>>2]=c[g>>2];e=e+4|0;g=g+4|0}while((e|0)<(d|0))}e=b;g=k;d=e+36|0;do{c[e>>2]=c[g>>2];e=e+4|0;g=g+4|0}while((e|0)<(d|0));c[b+36>>2]=f;l=m;return}function $A(b,c){b=b|0;c=c|0;var d=0;if(((c|0)!=0?(d=Jm(b,c)|0,(d|0)!=0):0)?(a[d>>0]|0)!=0:0)b=(IA(d)|0)<<24>>24==0&1;else b=0;return b|0}function aB(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0.0,o=0.0;k=l;l=l+32|0;i=k;j=c[b+8>>2]|0;d=c[b+4>>2]|0;d=(c[b+44>>2]|0)+((O((d|0)>1?d+-1|0:0,j)|0)<<4)|0;e=i+16|0;c[e>>2]=c[d>>2];c[e+4>>2]=c[d+4>>2];c[e+8>>2]=c[d+8>>2];c[e+12>>2]=c[d+12>>2];c[i>>2]=c[d>>2];c[i+4>>2]=c[d+4>>2];c[i+8>>2]=c[d+8>>2];c[i+12>>2]=c[d+12>>2];f=i+8|0;g=i+24|0;b=1;while(1){if((b|0)>=(j|0))break;m=d+(b<<4)|0;o=+h[m>>3];h[i>>3]=+h[(+h[i>>3]<o?i:m)>>3];n=+h[m+8>>3];h[f>>3]=+h[(+h[f>>3]<n?i:m)+8>>3];h[e>>3]=+h[(+h[e>>3]>o?e:m)>>3];h[g>>3]=+h[(+h[g>>3]>n?e:m)+8>>3];b=b+1|0}c[a>>2]=c[i>>2];c[a+4>>2]=c[i+4>>2];c[a+8>>2]=c[i+8>>2];c[a+12>>2]=c[i+12>>2];c[a+16>>2]=c[i+16>>2];c[a+20>>2]=c[i+20>>2];c[a+24>>2]=c[i+24>>2];c[a+28>>2]=c[i+28>>2];l=k;return}function bB(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;d=l;l=l+64|0;g=d+32|0;e=d;f=c[a+16>>2]|0;a=f+16|0;f=c[f+116>>2]&1;c[g>>2]=c[a>>2];c[g+4>>2]=c[a+4>>2];c[g+8>>2]=c[a+8>>2];c[g+12>>2]=c[a+12>>2];c[g+16>>2]=c[a+16>>2];c[g+20>>2]=c[a+20>>2];c[g+24>>2]=c[a+24>>2];c[g+28>>2]=c[a+28>>2];cB(e,g,b,f);c[a>>2]=c[e>>2];c[a+4>>2]=c[e+4>>2];c[a+8>>2]=c[e+8>>2];c[a+12>>2]=c[e+12>>2];c[a+16>>2]=c[e+16>>2];c[a+20>>2]=c[e+20>>2];c[a+24>>2]=c[e+24>>2];c[a+28>>2]=c[e+28>>2];l=d;return}function cB(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0.0,j=0,k=0.0,l=0.0,m=0.0;g=+h[d+56>>3];l=+h[d+64>>3];j=e<<24>>24==0;k=+h[d+24>>3];i=+h[d+32>>3];m=(j?k:i)*.5;f=g-m;g=m+g;if(f<+h[b>>3])h[b>>3]=f;e=b+16|0;if(g>+h[e>>3])h[e>>3]=g;g=(j?i:k)*.5;f=l-g;g=g+l;e=b+8|0;if(f<+h[e>>3])h[e>>3]=f;e=b+24|0;if(g>+h[e>>3])h[e>>3]=g;c[a>>2]=c[b>>2];c[a+4>>2]=c[b+4>>2];c[a+8>>2]=c[b+8>>2];c[a+12>>2]=c[b+12>>2];c[a+16>>2]=c[b+16>>2];c[a+20>>2]=c[b+20>>2];c[a+24>>2]=c[b+24>>2];c[a+28>>2]=c[b+28>>2];return}function dB(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0.0,N=0.0,O=0.0,P=0.0;L=l;l=l+448|0;H=L+416|0;t=L+384|0;u=L+304|0;K=L+256|0;G=L+192|0;B=L+144|0;C=L+96|0;d=L+400|0;e=L+368|0;f=L+352|0;g=L+336|0;v=L+288|0;w=L+224|0;x=L+160|0;y=L+112|0;z=L+64|0;A=L+32|0;I=L;J=b+16|0;if((mn(b)|0)==0?(c[(c[J>>2]|0)+180>>2]|0)==0:0){eB(d,0.0,0.0);c[K>>2]=c[d>>2];c[K+4>>2]=c[d+4>>2];c[K+8>>2]=c[d+8>>2];c[K+12>>2]=c[d+12>>2];K=K+16|0;eB(e,0.0,0.0);c[K>>2]=c[e>>2];c[K+4>>2]=c[e+4>>2];c[K+8>>2]=c[e+8>>2];c[K+12>>2]=c[e+12>>2]}else{eB(f,2147483647.0,2147483647.0);c[K>>2]=c[f>>2];c[K+4>>2]=c[f+4>>2];c[K+8>>2]=c[f+8>>2];c[K+12>>2]=c[f+12>>2];F=K+16|0;eB(g,-2147483647.0,-2147483647.0);c[F>>2]=c[g>>2];c[F+4>>2]=c[g+4>>2];c[F+8>>2]=c[g+8>>2];c[F+12>>2]=c[g+12>>2];o=C+8|0;p=u+16|0;D=K+8|0;q=u+8|0;E=K+24|0;r=u+24|0;s=B+8|0;n=co(b)|0;while(1){if(!n)break;OA(B,n);d=n+16|0;m=c[d>>2]|0;h[C>>3]=(+h[m+96>>3]+ +h[m+88>>3])*.5;h[o>>3]=+h[m+80>>3]*.5;c[t>>2]=c[B>>2];c[t+4>>2]=c[B+4>>2];c[t+8>>2]=c[B+8>>2];c[t+12>>2]=c[B+12>>2];c[H>>2]=c[C>>2];c[H+4>>2]=c[C+4>>2];c[H+8>>2]=c[C+8>>2];c[H+12>>2]=c[C+12>>2];fB(u,t,H);c[t>>2]=c[B>>2];c[t+4>>2]=c[B+4>>2];c[t+8>>2]=c[B+8>>2];c[t+12>>2]=c[B+12>>2];c[H>>2]=c[C>>2];c[H+4>>2]=c[C+4>>2];c[H+8>>2]=c[C+8>>2];c[H+12>>2]=c[C+12>>2];gB(v,t,H);c[p>>2]=c[v>>2];c[p+4>>2]=c[v+4>>2];c[p+8>>2]=c[v+8>>2];c[p+12>>2]=c[v+12>>2];h[K>>3]=+h[(+h[K>>3]<+h[u>>3]?K:u)>>3];h[D>>3]=+h[(+h[D>>3]<+h[q>>3]?K:u)+8>>3];h[F>>3]=+h[(+h[F>>3]>+h[p>>3]?K:u)+16>>3];h[E>>3]=+h[(+h[E>>3]>+h[r>>3]?K:u)+24>>3];d=c[(c[d>>2]|0)+108>>2]|0;if(d|0?a[d+81>>0]|0:0){m=c[(c[J>>2]|0)+116>>2]&1;c[H>>2]=c[K>>2];c[H+4>>2]=c[K+4>>2];c[H+8>>2]=c[K+8>>2];c[H+12>>2]=c[K+12>>2];c[H+16>>2]=c[K+16>>2];c[H+20>>2]=c[K+20>>2];c[H+24>>2]=c[K+24>>2];c[H+28>>2]=c[K+28>>2];cB(w,H,d,m);c[K>>2]=c[w>>2];c[K+4>>2]=c[w+4>>2];c[K+8>>2]=c[w+8>>2];c[K+12>>2]=c[w+12>>2];c[K+16>>2]=c[w+16>>2];c[K+20>>2]=c[w+20>>2];c[K+24>>2]=c[w+24>>2];c[K+28>>2]=c[w+28>>2]}m=Pm(b,n)|0;while(1){if(!m)break;k=m+16|0;d=c[k>>2]|0;j=d+8|0;e=c[j>>2]|0;if(e|0){i=0;while(1){if((i|0)<(c[e+4>>2]|0))g=0;else break;while(1){f=c[e>>2]|0;if((g|0)>=(c[f+(i*48|0)+4>>2]|0))break;e=(c[f+(i*48|0)>>2]|0)+(g<<4)|0;c[B>>2]=c[e>>2];c[B+4>>2]=c[e+4>>2];c[B+8>>2]=c[e+8>>2];c[B+12>>2]=c[e+12>>2];N=+h[B>>3];h[K>>3]=+h[(+h[K>>3]<N?K:B)>>3];M=+h[s>>3];h[D>>3]=+h[(+h[D>>3]<M?K:B)+8>>3];h[F>>3]=+h[(+h[F>>3]>N?F:B)>>3];h[E>>3]=+h[(+h[E>>3]>M?F:B)+8>>3];g=g+1|0;e=c[j>>2]|0}i=i+1|0}e=c[d+96>>2]|0;if((e|0)!=0?(a[e+81>>0]|0)!=0:0){d=c[(c[J>>2]|0)+116>>2]&1;c[H>>2]=c[K>>2];c[H+4>>2]=c[K+4>>2];c[H+8>>2]=c[K+8>>2];c[H+12>>2]=c[K+12>>2];c[H+16>>2]=c[K+16>>2];c[H+20>>2]=c[K+20>>2];c[H+24>>2]=c[K+24>>2];c[H+28>>2]=c[K+28>>2];cB(x,H,e,d);c[K>>2]=c[x>>2];c[K+4>>2]=c[x+4>>2];c[K+8>>2]=c[x+8>>2];c[K+12>>2]=c[x+12>>2];c[K+16>>2]=c[x+16>>2];c[K+20>>2]=c[x+20>>2];c[K+24>>2]=c[x+24>>2];c[K+28>>2]=c[x+28>>2];d=c[k>>2]|0}e=c[d+100>>2]|0;if((e|0)!=0?(a[e+81>>0]|0)!=0:0){d=c[(c[J>>2]|0)+116>>2]&1;c[H>>2]=c[K>>2];c[H+4>>2]=c[K+4>>2];c[H+8>>2]=c[K+8>>2];c[H+12>>2]=c[K+12>>2];c[H+16>>2]=c[K+16>>2];c[H+20>>2]=c[K+20>>2];c[H+24>>2]=c[K+24>>2];c[H+28>>2]=c[K+28>>2];cB(y,H,e,d);c[K>>2]=c[y>>2];c[K+4>>2]=c[y+4>>2];c[K+8>>2]=c[y+8>>2];c[K+12>>2]=c[y+12>>2];c[K+16>>2]=c[y+16>>2];c[K+20>>2]=c[y+20>>2];c[K+24>>2]=c[y+24>>2];c[K+28>>2]=c[y+28>>2];d=c[k>>2]|0}e=c[d+104>>2]|0;if((e|0)!=0?(a[e+81>>0]|0)!=0:0){d=c[(c[J>>2]|0)+116>>2]&1;c[H>>2]=c[K>>2];c[H+4>>2]=c[K+4>>2];c[H+8>>2]=c[K+8>>2];c[H+12>>2]=c[K+12>>2];c[H+16>>2]=c[K+16>>2];c[H+20>>2]=c[K+20>>2];c[H+24>>2]=c[K+24>>2];c[H+28>>2]=c[K+28>>2];cB(z,H,e,d);c[K>>2]=c[z>>2];c[K+4>>2]=c[z+4>>2];c[K+8>>2]=c[z+8>>2];c[K+12>>2]=c[z+12>>2];c[K+16>>2]=c[z+16>>2];c[K+20>>2]=c[z+20>>2];c[K+24>>2]=c[z+24>>2];c[K+28>>2]=c[z+28>>2];d=c[k>>2]|0}d=c[d+108>>2]|0;if(d|0?a[d+81>>0]|0:0){k=c[(c[J>>2]|0)+116>>2]&1;c[H>>2]=c[K>>2];c[H+4>>2]=c[K+4>>2];c[H+8>>2]=c[K+8>>2];c[H+12>>2]=c[K+12>>2];c[H+16>>2]=c[K+16>>2];c[H+20>>2]=c[K+20>>2];c[H+24>>2]=c[K+24>>2];c[H+28>>2]=c[K+28>>2];cB(A,H,d,k);c[K>>2]=c[A>>2];c[K+4>>2]=c[A+4>>2];c[K+8>>2]=c[A+8>>2];c[K+12>>2]=c[A+12>>2];c[K+16>>2]=c[A+16>>2];c[K+20>>2]=c[A+20>>2];c[K+24>>2]=c[A+24>>2];c[K+28>>2]=c[A+28>>2]}}m=Rm(b,m)|0}n=eo(b,n)|0}d=c[J>>2]|0;f=c[d+180>>2]|0;g=d+184|0;i=G+8|0;j=G+16|0;k=G+24|0;e=1;while(1){if((e|0)>(f|0))break;P=+h[(c[(c[(c[g>>2]|0)+(e<<2)>>2]|0)+16>>2]|0)+16>>3];h[G>>3]=P;C=c[(c[(c[g>>2]|0)+(e<<2)>>2]|0)+16>>2]|0;O=+h[C+24>>3];h[i>>3]=O;M=+h[C+32>>3];h[j>>3]=M;N=+h[C+40>>3];h[k>>3]=N;h[K>>3]=+h[(+h[K>>3]<P?K:G)>>3];h[D>>3]=+h[(+h[D>>3]<O?K:G)+8>>3];h[F>>3]=+h[(+h[F>>3]>M?K:G)+16>>3];h[E>>3]=+h[(+h[E>>3]>N?K:G)+24>>3];e=e+1|0}e=c[d+12>>2]|0;if((e|0)!=0?(a[e+81>>0]|0)!=0:0){d=c[d+116>>2]&1;c[H>>2]=c[K>>2];c[H+4>>2]=c[K+4>>2];c[H+8>>2]=c[K+8>>2];c[H+12>>2]=c[K+12>>2];c[H+16>>2]=c[K+16>>2];c[H+20>>2]=c[K+20>>2];c[H+24>>2]=c[K+24>>2];c[H+28>>2]=c[K+28>>2];cB(I,H,e,d);c[K>>2]=c[I>>2];c[K+4>>2]=c[I+4>>2];c[K+8>>2]=c[I+8>>2];c[K+12>>2]=c[I+12>>2];c[K+16>>2]=c[I+16>>2];c[K+20>>2]=c[I+20>>2];c[K+24>>2]=c[I+24>>2];c[K+28>>2]=c[I+28>>2];d=c[J>>2]|0}J=d+16|0;c[J>>2]=c[K>>2];c[J+4>>2]=c[K+4>>2];c[J+8>>2]=c[K+8>>2];c[J+12>>2]=c[K+12>>2];c[J+16>>2]=c[K+16>>2];c[J+20>>2]=c[K+20>>2];c[J+24>>2]=c[K+24>>2];c[J+28>>2]=c[K+28>>2]}l=L;return}function eB(a,b,c){a=a|0;b=+b;c=+c;h[a>>3]=b;h[a+8>>3]=c;return}function fB(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=+h[b+8>>3]-+h[c+8>>3];h[a>>3]=+h[b>>3]-+h[c>>3];h[a+8>>3]=d;return}function gB(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=+h[c+8>>3]+ +h[b+8>>3];h[a>>3]=+h[c>>3]+ +h[b>>3];h[a+8>>3]=d;return}function hB(a){a=a|0;if((c[a+60>>2]|0)==(a|0))a=1;else a=(pK(Dn(a)|0,93039,7)|0)==0&1;return a|0}function iB(a){a=a|0;var b=0;b=Ql(22612,c[4345]|0)|0;lB(a,b);return b|0}function jB(a,b){a=a|0;b=b|0;a=bb[c[a>>2]&31](a,b,512)|0;if(!a)a=0;else a=c[a+12>>2]|0;return a|0}function kB(a,b,c){a=a|0;b=b|0;c=c|0;c=an(ro(b)|0,b,c,0,1)|0;No(c,122254,176,1)|0;Mm(a,c)|0;return c|0}function lB(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;h=l;l=l+16|0;g=h;f=a+16|0;e=1;while(1){a=c[f>>2]|0;if((e|0)>(c[a+180>>2]|0))break;a=c[(c[a+184>>2]|0)+(e<<2)>>2]|0;d=Dn(a)|0;if(!(bb[c[b>>2]&31](b,d,512)|0)){i=vw(16)|0;c[i+8>>2]=d;c[i+12>>2]=a;bb[c[b>>2]&31](b,i,1)|0}else{c[g>>2]=d;_l(0,93062,g)|0}lB(a,b);e=e+1|0}l=h;return}function mB(a,b,c){a=a|0;b=b|0;c=c|0;_I(b);return}function nB(a){a=a|0;var b=0,c=0,d=0;d=Ip(a,93047,1)|0;No(d,122277,280,1)|0;b=co(a)|0;while(1){if(!b)break;c=Pm(a,b)|0;while(1){if(!c)break;oB(c,d);c=Rm(a,c)|0}b=eo(a,b)|0}b=co(d)|0;while(1){if(!b)break;c=eo(d,b)|0;pB(b);qo(a,b)|0;b=c}ln(d)|0;return}function oB(b,d){b=b|0;d=d|0;var e=0,f=0;e=c[b>>2]&3;f=c[((e|0)==3?b:b+48|0)+40>>2]|0;e=c[((e|0)==2?b:b+-48|0)+40>>2]|0;if(!((a[(c[f+16>>2]|0)+118>>0]|0)==0?!(a[(c[e+16>>2]|0)+118>>0]|0):0)){f=qB(f,d)|0;e=kB(b,f,qB(e,d)|0)|0;f=c[b+16>>2]|0;d=f+8|0;e=c[e+16>>2]|0;c[e+8>>2]=c[d>>2];c[d>>2]=0;d=f+96|0;c[e+96>>2]=c[d>>2];c[d>>2]=0;d=f+108|0;c[e+108>>2]=c[d>>2];c[d>>2]=0;d=f+100|0;c[e+100>>2]=c[d>>2];c[d>>2]=0;f=f+104|0;c[e+104>>2]=c[f>>2];c[f>>2]=0;rB(b)}return}function pB(a){a=a|0;var b=0,d=0,e=0;e=a+16|0;b=c[e>>2]|0;d=c[b+132>>2]|0;if(d){_I(d);b=c[e>>2]|0}d=c[b+8>>2]|0;if(d){gb[c[(c[d+4>>2]|0)+4>>2]&127](a);b=c[e>>2]|0}ow(c[b+104>>2]|0);ow(c[(c[e>>2]|0)+108>>2]|0);Po(a,122241)|0;return}function qB(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;f=ro(b)|0;a:do if(a[(c[b+16>>2]|0)+118>>0]|0){io(d,b,1)|0;b=WJ(Dn(b)|0,58)|0;if(!b)ma(96030,92694,1225,93114);d=b+1|0;b=no(f,d,0)|0;if(!b){b=no(f,d,1)|0;No(b,122241,304,1)|0;d=Dm(f,1,0)|0;while(1){if(!d)break a;g=Jm(b,d)|0;e=c[d+12>>2]|0;if((g|0)!=(e|0))Cm(b,d,e)|0;d=Dm(f,1,d)|0}}}while(0);return b|0}function rB(a){a=a|0;var b=0;b=a+16|0;_I(c[(c[b>>2]|0)+144>>2]|0);sB(a);ow(c[(c[b>>2]|0)+96>>2]|0);ow(c[(c[b>>2]|0)+108>>2]|0);ow(c[(c[b>>2]|0)+100>>2]|0);ow(c[(c[b>>2]|0)+104>>2]|0);Po(a,122254)|0;return}function sB(a){a=a|0;var b=0,d=0,e=0;e=a+16|0;a=c[e>>2]|0;b=c[a+8>>2]|0;if(b){d=0;while(1){a=c[b>>2]|0;if((d|0)>=(c[b+4>>2]|0))break;_I(c[a+(d*48|0)>>2]|0);d=d+1|0;b=c[(c[e>>2]|0)+8>>2]|0}_I(a);_I(c[(c[e>>2]|0)+8>>2]|0);a=c[e>>2]|0}c[a+8>>2]=0;return}function tB(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0;e=ym(a,b,c,0)|0;if(!e)e=ym(a,b,c,d)|0;return e|0}function uB(a,b){a=a|0;b=b|0;return xJ(c[a>>2]|0,c[b>>2]|0)|0}function vB(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;q=l;l=l+1072|0;k=q+8|0;j=q;i=q+16|0;o=q+24|0;c[i>>2]=b;if((c[42365]|0)!=(d|0)){c[42365]=d;a[174080]=0}cm(o,1024,q+40|0);p=o+4|0;n=o+8|0;while(1){f=b+1|0;c[i>>2]=f;e=a[b>>0]|0;if(!(e<<24>>24))break;do if((e&255)<192)if(e<<24>>24==38){f=xB(i)|0;if(!f)e=38;else{if(f>>>0<127){e=f&255;break}b=c[p>>2]|0;e=b>>>0>=(c[n>>2]|0)>>>0;if(f>>>0<2047){if(e){dm(o,1)|0;b=c[p>>2]|0}c[p>>2]=b+1;a[b>>0]=f>>>6|192;e=(f&63|128)&255;break}if(e){dm(o,1)|0;b=c[p>>2]|0}c[p>>2]=b+1;a[b>>0]=f>>>12|224;b=c[p>>2]|0;if(b>>>0>=(c[n>>2]|0)>>>0){dm(o,1)|0;b=c[p>>2]|0}c[p>>2]=b+1;a[b>>0]=f>>>6&63|128;e=(f&63|128)&255}}else{h=0;m=9}else if((e&255)>=224)if((e&255)>=240)if((e&255)<248){h=3;m=9}else{if(!(a[174080]|0)){c[j>>2]=Dn(d)|0;_l(0,94529,j)|0;a[174080]=1}h=-1;e=wB(e,o)|0;m=9}else{h=2;m=9}else{h=1;m=9}while(0);do if((m|0)==9){m=0;g=0;while(1){if((g|0)>=(h|0)){m=34;break}if((a[f>>0]&-64)<<24>>24!=-128)break;b=c[p>>2]|0;if(b>>>0>=(c[n>>2]|0)>>>0){dm(o,1)|0;b=c[p>>2]|0}c[p>>2]=b+1;a[b>>0]=e;g=g+1|0;e=a[f>>0]|0;f=f+1|0}if((m|0)==34){m=0;c[i>>2]=f;break}c[i>>2]=f;if(!(a[174080]|0)){g=Dn(d)|0;c[k>>2]=h+1;c[k+4>>2]=g;_l(0,94650,k)|0;a[174080]=1}e=wB(e,o)|0}while(0);b=c[p>>2]|0;if(b>>>0>=(c[n>>2]|0)>>>0){dm(o,1)|0;b=c[p>>2]|0}c[p>>2]=b+1;a[b>>0]=e;b=c[i>>2]|0}b=c[p>>2]|0;if(b>>>0>=(c[n>>2]|0)>>>0){dm(o,1)|0;b=c[p>>2]|0}a[b>>0]=0;n=c[o>>2]|0;c[p>>2]=n;p=GL(n)|0;gm(o);l=q;return p|0}function wB(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;j=l;l=l+16|0;g=j;a[g>>0]=b;a[g+1>>0]=0;g=yB(g)|0;h=d+4|0;i=d+8|0;e=rJ(g)|0;f=g;while(1){if((e|0)<=1)break;b=c[h>>2]|0;if(b>>>0>=(c[i>>2]|0)>>>0){dm(d,1)|0;b=c[h>>2]|0}k=a[f>>0]|0;c[h>>2]=b+1;a[b>>0]=k;e=e+-1|0;f=f+1|0}k=a[f>>0]|0;_I(g);l=j;return k|0}function xB(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+32|0;h=i;d=i+8|0;e=c[b>>2]|0;a:do if((a[e>>0]|0)!=35){c[h>>2]=d;g=0;b:while(1){if((g|0)>=8){d=0;break a}f=a[e+g>>0]|0;switch(f<<24>>24){case 0:{d=0;break a}case 59:break b;default:{}}a[d>>0]=f;d=d+1|0;g=g+1|0}a[d>>0]=0;d=vM(h,22648,252,8,30)|0;if(!d)d=0;else{e=e+(g+1)|0;d=c[d+4>>2]|0}}else{h=a[e+1>>0]|0;d=h&255;c:do if((h|32)<<24>>24==120){h=0;g=2;while(1){if((g|0)>=8){f=h;break c}f=a[e+g>>0]|0;d=f&255;if((f+-65&255)>=6)if((f+-97&255)>=6)if((f+-48&255)<10)f=-48;else{f=h;break c}else f=-87;else f=-55;d=f+d|0;h=d+(h<<4)|0;g=g+1|0}}else{f=0;g=1;while(1){if((g|0)>=8)break c;h=a[e+g>>0]|0;d=h&255;if((h+-48&255)>=10)break c;f=(f*10|0)+-48+d|0;g=g+1|0}}while(0);d=(d|0)==59;e=d?e+(g+1)|0:e;d=d?f:0}while(0);c[b>>2]=e;l=i;return d|0}function yB(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+1056|0;g=k;i=k+8|0;c[g>>2]=b;cm(i,1024,k+24|0);j=i+4|0;h=i+8|0;while(1){c[g>>2]=b+1;d=a[b>>0]|0;if(!(d<<24>>24))break;b=d&255;if(d<<24>>24==38){b=xB(g)|0;if(!b){b=38;f=6}else f=5}else f=5;do if((f|0)==5){f=0;if(b>>>0<127)f=6;else{d=c[j>>2]|0;e=d>>>0>=(c[h>>2]|0)>>>0;if(b>>>0<2047){if(e){dm(i,1)|0;d=c[j>>2]|0}c[j>>2]=d+1;a[d>>0]=b>>>6|192;d=c[j>>2]|0;if(d>>>0>=(c[h>>2]|0)>>>0){dm(i,1)|0;d=c[j>>2]|0}b=b&63|128;break}if(e){dm(i,1)|0;d=c[j>>2]|0}c[j>>2]=d+1;a[d>>0]=b>>>12|224;d=c[j>>2]|0;if(d>>>0>=(c[h>>2]|0)>>>0){dm(i,1)|0;d=c[j>>2]|0}c[j>>2]=d+1;a[d>>0]=b>>>6&63|128;d=c[j>>2]|0;if(d>>>0>=(c[h>>2]|0)>>>0){dm(i,1)|0;d=c[j>>2]|0}b=b&63|128}}while(0);if((f|0)==6){d=c[j>>2]|0;if(d>>>0>=(c[h>>2]|0)>>>0){dm(i,1)|0;d=c[j>>2]|0}}c[j>>2]=d+1;a[d>>0]=b;b=c[g>>2]|0}b=c[j>>2]|0;if(b>>>0>=(c[h>>2]|0)>>>0){dm(i,1)|0;b=c[j>>2]|0}a[b>>0]=0;h=c[i>>2]|0;c[j>>2]=h;j=GL(h)|0;gm(i);l=k;return j|0}function zB(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+1040|0;g=i;cm(g,1024,i+16|0);h=g+4|0;f=g+8|0;while(1){d=b+1|0;e=a[b>>0]|0;if(!(e<<24>>24))break;if((e&255)<127){b=c[h>>2]|0;if(b>>>0>=(c[f>>2]|0)>>>0){dm(g,1)|0;b=c[h>>2]|0}c[h>>2]=b+1;a[b>>0]=e;b=d;continue}else{e=a[d>>0]&63|e<<6&255;d=c[h>>2]|0;if(d>>>0>=(c[f>>2]|0)>>>0){dm(g,1)|0;d=c[h>>2]|0}c[h>>2]=d+1;a[d>>0]=e;b=b+2|0;continue}}b=c[h>>2]|0;if(b>>>0>=(c[f>>2]|0)>>>0){dm(g,1)|0;b=c[h>>2]|0}a[b>>0]=0;f=c[g>>2]|0;c[h>>2]=f;h=GL(f)|0;gm(g);l=i;return h|0}function AB(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+80|0;e=n+48|0;d=n+32|0;f=n+64|0;g=n+16|0;i=n;j=b+16|0;k=a+16|0;m=c[k>>2]|0;if(((+h[j>>3]>=+h[m+48>>3]?+h[m+64>>3]>=+h[b>>3]:0)?+h[b+24>>3]>=+h[m+56>>3]:0)?+h[m+72>>3]>=+h[b+8>>3]:0){m=m+16|0;c[d>>2]=c[j>>2];c[d+4>>2]=c[j+4>>2];c[d+8>>2]=c[j+8>>2];c[d+12>>2]=c[j+12>>2];c[e>>2]=c[b>>2];c[e+4>>2]=c[b+4>>2];c[e+8>>2]=c[b+8>>2];c[e+12>>2]=c[b+12>>2];BB(g,d,e);c[d>>2]=c[m>>2];c[d+4>>2]=c[m+4>>2];c[d+8>>2]=c[m+8>>2];c[d+12>>2]=c[m+12>>2];c[e>>2]=c[g>>2];c[e+4>>2]=c[g+4>>2];c[e+8>>2]=c[g+8>>2];c[e+12>>2]=c[g+12>>2];fB(i,d,e);c[f>>2]=a;c[f+4>>2]=0;d=c[(c[(c[(c[k>>2]|0)+8>>2]|0)+4>>2]|0)+12>>2]|0;c[e>>2]=c[i>>2];c[e+4>>2]=c[i+4>>2];c[e+8>>2]=c[i+8>>2];c[e+12>>2]=c[i+12>>2];d=ab[d&63](f,e)|0}else d=0;l=n;return d|0}function BB(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=(+h[c+8>>3]+ +h[b+8>>3])*.5;h[a>>3]=(+h[c>>3]+ +h[b>>3])*.5;h[a+8>>3]=d;return}function CB(a,b){a=a|0;b=b|0;var d=0.0,e=0,f=0.0,g=0,i=0.0,j=0,k=0,m=0,n=0;e=l;l=l+80|0;j=e+64|0;k=e+48|0;m=e;n=e+32|0;g=e+16|0;h[m>>3]=+h[a+24>>3]*.5;h[m+8>>3]=+h[a+32>>3]*.5;a=a+56|0;c[k>>2]=c[a>>2];c[k+4>>2]=c[a+4>>2];c[k+8>>2]=c[a+8>>2];c[k+12>>2]=c[a+12>>2];c[j>>2]=c[m>>2];c[j+4>>2]=c[m+4>>2];c[j+8>>2]=c[m+8>>2];c[j+12>>2]=c[m+12>>2];fB(n,k,j);i=+h[n>>3];f=+h[n+8>>3];c[k>>2]=c[a>>2];c[k+4>>2]=c[a+4>>2];c[k+8>>2]=c[a+8>>2];c[k+12>>2]=c[a+12>>2];c[j>>2]=c[m>>2];c[j+4>>2]=c[m+4>>2];c[j+8>>2]=c[m+8>>2];c[j+12>>2]=c[m+12>>2];gB(g,k,j);d=+h[g+8>>3];if((+h[b+16>>3]>=i?+h[g>>3]>=+h[b>>3]:0)?+h[b+24>>3]>=f:0)a=d>=+h[b+8>>3]&1;else a=0;l=e;return a|0}function DB(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+80|0;k=n+48|0;j=n;h=a+16|0;a=c[h>>2]|0;i=c[a+8>>2]|0;a:do if((i|0)!=0?(g=i+8|0,c[j>>2]=c[g>>2],c[j+4>>2]=c[g+4>>2],c[j+8>>2]=c[g+8>>2],c[j+12>>2]=c[g+12>>2],c[j+16>>2]=c[g+16>>2],c[j+20>>2]=c[g+20>>2],c[j+24>>2]=c[g+24>>2],c[j+28>>2]=c[g+28>>2],c[k>>2]=c[b>>2],c[k+4>>2]=c[b+4>>2],c[k+8>>2]=c[b+8>>2],c[k+12>>2]=c[b+12>>2],c[k+16>>2]=c[b+16>>2],c[k+20>>2]=c[b+20>>2],c[k+24>>2]=c[b+24>>2],c[k+28>>2]=c[b+28>>2],(EB(j,k)|0)!=0):0){d=i+4|0;a=0;while(1){if((a|0)>=(c[d>>2]|0))break;e=j;f=(c[i>>2]|0)+(a*48|0)|0;g=e+48|0;do{c[e>>2]=c[f>>2];e=e+4|0;f=f+4|0}while((e|0)<(g|0));c[k>>2]=c[b>>2];c[k+4>>2]=c[b+4>>2];c[k+8>>2]=c[b+8>>2];c[k+12>>2]=c[b+12>>2];c[k+16>>2]=c[b+16>>2];c[k+20>>2]=c[b+20>>2];c[k+24>>2]=c[b+24>>2];c[k+28>>2]=c[b+28>>2];if(!((FB(j,k)|0)<<24>>24))a=a+1|0;else{a=1;break a}}a=c[h>>2]|0;m=7}else m=7;while(0);do if((m|0)==7){a=c[a+96>>2]|0;if(a|0?(c[k>>2]=c[b>>2],c[k+4>>2]=c[b+4>>2],c[k+8>>2]=c[b+8>>2],c[k+12>>2]=c[b+12>>2],c[k+16>>2]=c[b+16>>2],c[k+20>>2]=c[b+20>>2],c[k+24>>2]=c[b+24>>2],c[k+28>>2]=c[b+28>>2],(CB(a,k)|0)<<24>>24):0){a=1;break}a=0}while(0);l=n;return a|0}\nfunction si(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;h=a+16|0;i=vw((b[(c[h>>2]|0)+238>>1]<<2)+8|0)|0;g=co(a)|0;while(1){if(!g)break;f=i+(c[(c[g+16>>2]|0)+232>>2]<<2)|0;c[f>>2]=(c[f>>2]|0)+1;f=Pm(a,g)|0;while(1){if(!f)break;j=c[f>>2]&3;d=c[(c[(c[((j|0)==3?f:f+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0;j=c[(c[(c[((j|0)==2?f:f+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0;k=(d|0)>(j|0);e=k?d:j;d=k?j:d;while(1){d=d+1|0;if((d|0)>=(e|0))break;k=i+(d<<2)|0;c[k>>2]=(c[k>>2]|0)+1}f=Rm(a,f)|0}g=eo(a,g)|0}f=vw((b[(c[h>>2]|0)+238>>1]<<6)+128|0)|0;e=c[h>>2]|0;c[e+196>>2]=f;d=b[e+236>>1]|0;while(1){if((d|0)>(b[e+238>>1]|0))break;j=i+(d<<2)|0;e=c[j>>2]|0;c[f+(d<<6)>>2]=e;c[f+(d<<6)+8>>2]=e;j=vw((c[j>>2]<<2)+4|0)|0;e=c[h>>2]|0;k=c[e+196>>2]|0;c[k+(d<<6)+4>>2]=j;c[k+(d<<6)+12>>2]=j;d=d+1|0;f=k}_I(i);return}function ti(a,d,e,f){a=a|0;d=d|0;e=e|0;f=f|0;var g=0,i=0,j=0,k=0,l=0,m=0;m=a+16|0;i=1;while(1){g=c[m>>2]|0;if((i|0)>(c[g+180>>2]|0))break;l=ti(c[(c[g+184>>2]|0)+(i<<2)>>2]|0,d,e,f)|0;i=i+1|0;f=l}a:do if((Vf(a)|0)!=(a|0)){VN(d|0,0,e<<2|0)|0;g=co(a)|0;while(1){if(!g)break;k=g+16|0;c[d+(c[(c[k>>2]|0)+232>>2]<<2)>>2]=1;i=Pm(a,g)|0;while(1){if(!i)break;l=i+-48|0;j=c[(c[k>>2]|0)+232>>2]|0;while(1){e=j+1|0;if((j|0)>=(c[(c[(c[((c[i>>2]&3|0)==2?i:l)+40>>2]|0)+16>>2]|0)+232>>2]|0))break;c[d+(e<<2)>>2]=1;j=e}i=Rm(a,i)|0}g=eo(a,g)|0}g=c[m>>2]|0;i=b[g+236>>1]|0;while(1){if((i|0)>(b[g+238>>1]|0))break a;if(!(c[d+(i<<2)>>2]|0)){if(!f)f=Ip(Vf(a)|0,79522,1)|0;g=no(f,0,1)|0;No(g,122241,304,1)|0;l=g+16|0;j=c[l>>2]|0;c[j+232>>2]=i;h[j+96>>3]=.5;h[j+88>>3]=.5;h[j+80>>3]=1.0;c[j+216>>2]=1;c[j+176>>2]=0;j=vw(20)|0;k=c[l>>2]|0;c[k+172>>2]=j;c[k+184>>2]=0;k=vw(20)|0;c[(c[l>>2]|0)+180>>2]=k;io(a,g,1)|0;g=c[m>>2]|0}i=i+1|0}}while(0);return f|0}function ui(a){a=a|0;var b=0,d=0;Kh(a);b=a+16|0;a=1;while(1){d=c[b>>2]|0;if((a|0)>(c[d+180>>2]|0))break;ui(c[(c[d+184>>2]|0)+(a<<2)>>2]|0);a=a+1|0}return}function vi(a){a=a|0;var b=0,d=0;b=c[a>>2]&3;d=wi(c[((b|0)==3?a:a+48|0)+40>>2]|0)|0;b=c[17236+(d*12|0)+((wi(c[((b|0)==2?a:a+-48|0)+40>>2]|0)|0)<<2)>>2]|0;a=(c[a+16>>2]|0)+156|0;c[a>>2]=O(c[a>>2]|0,b)|0;return}function wi(b){b=b|0;b=c[b+16>>2]|0;if((a[b+156>>0]|0)==1)b=2;else b=(a[b+160>>0]|0)<2&1;return b|0}function xi(b,d){b=b|0;d=d|0;if(c[(c[b+16>>2]|0)+192>>2]|0){Yk(b);yi(b);if(a[174076]|0)kl(b);zi(b);if(Cl(b)|0)yi(b);Ai(b);if(gx(b,2,Bi(b)|0)|0?(Ci(b),gx(b,2,Bi(b)|0)|0):0)ma(79540,79568,134,79579);Di(b);Ei(b,d);Fi(b)}return}function yi(d){d=d|0;var e=0,f=0,g=0,i=0,j=0.0,k=0.0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0.0,z=0.0;v=d+16|0;e=c[v>>2]|0;w=c[e+196>>2]|0;t=b[e+236>>1]|0;while(1){if((t|0)>(b[e+238>>1]|0))break;n=w+(t<<6)|0;o=w+(t<<6)+4|0;p=w+(t<<6)+40|0;q=w+(t<<6)+24|0;r=w+(t<<6)+32|0;s=w+(t<<6)+16|0;m=0;while(1){if((m|0)>=(c[n>>2]|0))break;l=(c[(c[o>>2]|0)+(m<<2)>>2]|0)+16|0;e=c[l>>2]|0;j=+h[e+80>>3]*.5;i=c[e+204>>2]|0;a:do if(i){g=0;while(1){f=c[i+(g<<2)>>2]|0;if(!f)break a;x=c[f>>2]&3;if((c[((x|0)==3?f:f+48|0)+40>>2]|0)==(c[((x|0)==2?f:f+-48|0)+40>>2]|0)?(u=c[(c[f+16>>2]|0)+96>>2]|0,(u|0)!=0):0){k=+h[u+32>>3]*.5;j=j>k?j:k}g=g+1|0}}while(0);if(+h[p>>3]<j){h[q>>3]=j;h[p>>3]=j}if(+h[r>>3]<j){h[s>>3]=j;h[r>>3]=j}f=c[e+212>>2]|0;if(f|0){if((f|0)==(d|0))g=0;else{g=DA(f,c[42188]|0,8,0)|0;e=c[l>>2]|0}i=c[e+232>>2]|0;f=c[f+16>>2]|0;e=f+128|0;j=j+ +(g|0);if((i|0)==(b[f+236>>1]|0)){k=+h[e>>3];h[e>>3]=k>j?k:j}e=f+120|0;if((i|0)==(b[f+238>>1]|0)){k=+h[e>>3];h[e>>3]=k>j?k:j}}m=m+1|0}t=t+1|0;e=c[v>>2]|0}m=ej(d)|0;g=c[v>>2]|0;e=b[g+238>>1]|0;h[(c[(c[c[w+(e<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]=+h[w+(e<<6)+16>>3];f=b[g+236>>1]|0;i=g+252|0;k=0.0;while(1){l=e+-1|0;if((e|0)<=(f|0))break;y=+h[w+(l<<6)+32>>3]+ +h[w+(e<<6)+40>>3]+ +(c[i>>2]|0);j=+h[w+(e<<6)+24>>3]+8.0+ +h[w+(l<<6)+16>>3];j=y>j?y:j;if((c[w+(l<<6)>>2]|0)>0)h[(c[(c[c[w+(l<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]=+h[(c[(c[c[w+(e<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]+j;k=k>j?k:j;e=l}b:do if((m|0)!=0?(c[g+116>>2]&1|0)!=0:0){fj(d,0);g=c[v>>2]|0;if(a[g+276>>0]|0){e=b[g+238>>1]|0;f=b[g+236>>1]|0;j=+h[(c[(c[c[w+(e<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3];k=0.0;while(1){i=e+-1|0;if((e|0)<=(f|0))break b;z=+h[(c[(c[c[w+(i<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3];y=z-j;j=z;k=k>y?k:y;e=i}}}while(0);c:do if(a[g+276>>0]|0){i=b[g+236>>1]|0;f=b[g+238>>1]|0;while(1){e=f+-1|0;if((f|0)<=(i|0))break c;if((c[w+(e<<6)>>2]|0)<=0){f=e;continue}h[(c[(c[c[w+(e<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]=+h[(c[(c[c[w+(f<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]+k;f=e}}while(0);e=g+192|0;while(1){e=c[e>>2]|0;if(!e)break;e=c[e+16>>2]|0;h[e+24>>3]=+h[(c[(c[c[w+(c[e+232>>2]<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3];e=e+164|0}return}function zi(a){a=a|0;var b=0,d=0,e=0;aj(a);b=(c[a+16>>2]|0)+192|0;while(1){b=c[b>>2]|0;if(!b)break;e=b+16|0;b=c[e>>2]|0;d=c[b+224>>2]|0;if(d){bj(a,d);b=c[e>>2]|0}d=c[b+228>>2]|0;if(!d)d=b;else{bj(a,d);d=c[e>>2]|0}e=c[d+204>>2]|0;if(e|0){b=0;while(1)if(!(c[e+(b<<2)>>2]|0))break;else b=b+1|0}b=d+164|0}return}function Ai(a){a=a|0;Oi(a);Pi(a);Qi(a);Ri(a);Si(a);return}function Bi(a){a=a|0;var b=0,c=0.0;b=Im(a,79768)|0;if(!b)a=2147483647;else{c=+sM(b);a=~~(c*+(mn(a)|0))}return a|0}function Ci(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;r=d+16|0;e=c[r>>2]|0;q=b[e+236>>1]|0;while(1){p=b[e+238>>1]|0;if((q|0)>(p|0)){s=19;break}n=c[e+196>>2]|0;o=n+(q<<6)|0;m=c[o>>2]|0;n=n+(q<<6)+4|0;l=0;f=0;a:while(1){if((l|0)>=(m|0)){s=14;break}f=c[(c[n>>2]|0)+(l<<2)>>2]|0;h=c[f+16>>2]|0;i=c[h+256>>2]|0;b:do if(i|0){g=0;while(1){j=c[i+(g<<2)>>2]|0;if(!j)break b;k=c[j>>2]&3;if((c[(c[(c[((k|0)==2?j:j+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)>(q|0))break a;if((c[(c[(c[((k|0)==3?j:j+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)>(q|0))break a;else g=g+1|0}}while(0);h=c[h+248>>2]|0;c:do if(h|0){g=0;while(1){i=c[h+(g<<2)>>2]|0;if(!i)break c;j=c[i>>2]&3;if((c[(c[(c[((j|0)==3?i:i+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)>(q|0))break a;if((c[(c[(c[((j|0)==2?i:i+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)>(q|0))break a;else g=g+1|0}}while(0);l=l+1|0}if((s|0)==14){s=0;if(f){f=c[c[n>>2]>>2]|0;e=c[c[o+(((q|0)<(p|0)?1:-1)<<6)+4>>2]>>2]|0;if(!e){s=16;break}o=fh(d)|0;p=o+16|0;a[(c[p>>2]|0)+156>>0]=2;Mi(o,f,0.0,0)|0;Mi(o,e,0.0,0)|0;c[(c[p>>2]|0)+232>>2]=c[(c[((c[(c[f+16>>2]|0)+232>>2]|0)<(c[(c[e+16>>2]|0)+232>>2]|0)?f:e)+16>>2]|0)+232>>2];e=c[r>>2]|0}}q=q+1|0}if((s|0)==16)ma(79676,79568,111,79679);else if((s|0)==19)return}function Di(a){a=a|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0;a=c[a+16>>2]|0;i=c[a+196>>2]|0;e=b[a+238>>1]|0;a=b[a+236>>1]|0;while(1){if((a|0)>(e|0))break;f=c[i+(a<<6)>>2]|0;g=i+(a<<6)+4|0;d=0;while(1){if((d|0)>=(f|0))break;k=c[(c[(c[g>>2]|0)+(d<<2)>>2]|0)+16>>2]|0;j=k+232|0;h[k+16>>3]=+(c[j>>2]|0);c[j>>2]=a;d=d+1|0}a=a+1|0}return}function Ei(a,d){a=a|0;d=d|0;var e=0,f=0.0,g=0,i=0.0,j=0,k=0,l=0.0,m=0,n=0,o=0,p=0;Gi(a,a);g=a+16|0;k=c[g>>2]|0;a:do if((b[k+238>>1]|0)>0?(j=c[k+8>>2]|0,e=c[j+84>>2]|0,e|0):0){o=~~(+h[k+32>>3]-+h[k+16>>3]);m=~~(+h[k+40>>3]-+h[k+24>>3]);p=(c[k+116>>2]&1|0)==0;n=p?m:o;m=p?o:m;if((e|0)==4){e=Hi(a)|0;k=c[g>>2]|0;j=c[k+8>>2]|0}else e=(e|0)==2&1;b:do if(!(e<<24>>24)){switch(c[j+84>>2]|0){case 5:{f=+h[j+64>>3];if(f<=0.0)break a;i=f/+h[k+32>>3];l=+h[j+72>>3]/+h[k+40>>3];f=i<l?i:l;if(i>1.0&l>1.0){l=f;break b}else break a}case 1:break;default:break a}i=+h[j+16>>3];f=+(n|0)/+(m|0);if(f<i){l=1.0;f=i/f;break}else{l=f/i;f=1.0;break}}else{f=+h[j+64>>3];if(f<=0.0)break a;i=f/+(m|0);f=+h[j+72>>3]/+(n|0);if(i<1.0|f<1.0)if(i<f){l=1.0;f=f/i;break}else{l=i/f;f=1.0;break}else l=i}while(0);e=(c[k+116>>2]&1|0)==0;i=e?f:l;f=e?l:f;e=k+192|0;while(1){e=c[e>>2]|0;if(!e)break;e=c[e+16>>2]|0;p=e+16|0;l=+h[p>>3]*f;h[p>>3]=+(~~(l+(l>=0.0?.5:-.5))|0);p=e+24|0;l=+h[p>>3]*i;h[p>>3]=+(~~(l+(l>=0.0?.5:-.5))|0);e=e+164|0}Ii(a,f,i)}while(0);if(d|0)Ji(a,d);return}function Fi(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;h=b+16|0;b=(c[h>>2]|0)+192|0;while(1){b=c[b>>2]|0;if(!b)break;g=b+16|0;d=0;while(1){b=c[g>>2]|0;f=c[b+180>>2]|0;e=c[f+(d<<2)>>2]|0;if(!e)break;_I(c[e+16>>2]|0);_I(e);d=d+1|0}if(f){_I(f);b=c[g>>2]|0}d=c[b+172>>2]|0;if(d){_I(d);b=c[g>>2]|0}f=b+256|0;e=c[f+4>>2]|0;b=b+180|0;c[b>>2]=c[f>>2];c[b+4>>2]=e;b=c[g>>2]|0;e=b+248|0;f=c[e+4>>2]|0;b=b+172|0;c[b>>2]=c[e>>2];c[b+4>>2]=f;b=(c[g>>2]|0)+164|0}b=0;d=c[(c[h>>2]|0)+192>>2]|0;a:while(1){g=(b|0)==0;f=b+16|0;b=d;while(1){if(!b)break a;e=c[b+16>>2]|0;d=c[e+164>>2]|0;if((a[e+156>>0]|0)!=2)continue a;if(g)c[(c[h>>2]|0)+192>>2]=d;else c[(c[f>>2]|0)+164>>2]=d;_I(e);_I(b);b=d}}c[(c[(c[(c[h>>2]|0)+192>>2]|0)+16>>2]|0)+168>>2]=0;return}function Gi(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;e=a+16|0;d=1;while(1){f=c[e>>2]|0;if((d|0)>(c[f+180>>2]|0))break;Gi(c[(c[f+184>>2]|0)+(d<<2)>>2]|0,b);d=d+1|0}Li(a,b);return}function Hi(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0,j=0.0,k=0.0,m=0,n=0.0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0;s=l;l=l+80|0;e=s+64|0;d=s+48|0;f=s+16|0;m=s;r=s+32|0;a=a+16|0;b=c[(c[a>>2]|0)+8>>2]|0;t=b+48|0;c[f>>2]=c[t>>2];c[f+4>>2]=c[t+4>>2];c[f+8>>2]=c[t+8>>2];c[f+12>>2]=c[t+12>>2];if((!(+h[f>>3]<.001)?(g=f+8|0,!(+h[g>>3]<.001)):0)?(i=b+32|0,c[m>>2]=c[i>>2],c[m+4>>2]=c[i+4>>2],c[m+8>>2]=c[i+8>>2],c[m+12>>2]=c[i+12>>2],c[d>>2]=c[f>>2],c[d+4>>2]=c[f+4>>2],c[d+8>>2]=c[f+8>>2],c[d+12>>2]=c[f+12>>2],c[e>>2]=c[i>>2],c[e+4>>2]=c[i+4>>2],c[e+8>>2]=c[i+8>>2],c[e+12>>2]=c[i+12>>2],Ki(r,d,e),c[f>>2]=c[r>>2],c[f+4>>2]=c[r+4>>2],c[f+8>>2]=c[r+8>>2],c[f+12>>2]=c[r+12>>2],c[d>>2]=c[r>>2],c[d+4>>2]=c[r+4>>2],c[d+8>>2]=c[r+8>>2],c[d+12>>2]=c[r+12>>2],c[e>>2]=c[m>>2],c[e+4>>2]=c[m+4>>2],c[e+8>>2]=c[m+8>>2],c[e+12>>2]=c[m+12>>2],Ki(f,d,e),i=c[a>>2]|0,j=+h[i+32>>3],k=+h[i+40>>3],n=+h[f>>3],o=n/j,p=+h[g>>3],q=p/k,!(o>=1.0&q>=1.0)):0){o=o<q?o:q;o=o>.5?o:.5;q=+N(+(o*k/p))*p/k;p=+N(+(o*j/n))*n/j*j;a=c[i+8>>2]|0;h[a+64>>3]=p;h[a+72>>3]=q*k;a=1}else a=0;l=s;return a|0}function Ii(a,b,d){a=a|0;b=+b;d=+d;var e=0,f=0;e=a+16|0;a=1;while(1){f=c[e>>2]|0;if((a|0)>(c[f+180>>2]|0))break;Ii(c[(c[f+184>>2]|0)+(a<<2)>>2]|0,b,d);a=a+1|0}e=f+16|0;h[e>>3]=+h[e>>3]*b;e=f+24|0;h[e>>3]=+h[e>>3]*d;e=f+32|0;h[e>>3]=+h[e>>3]*b;f=f+40|0;h[f>>3]=+h[f>>3]*d;return}function Ji(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0,g=0,i=0.0,j=0,k=0,m=0,n=0;m=l;l=l+32|0;j=m+24|0;g=m+16|0;f=m;n=c[a+16>>2]|0;e=+h[n+32>>3]-+h[n+16>>3];d=+h[n+40>>3]-+h[n+24>>3];i=e/d;if(0){n=c[13918]|0;h[f>>3]=i;h[f+8>>3]=e*.0001*d;zL(n,79592,f)|0;c[g>>2]=kk(a)|0;zL(n,79617,g)|0}d=+h[b>>3];do if(!(i>d*1.1)){a=b+24|0;if(!(i<=d*.8)){c[a>>2]=0;k=9;break}c[a>>2]=-1;if(0){XL(79627,34,1,c[13918]|0)|0;k=9}}else{c[b+24>>2]=~~(d*+((c[b+20>>2]|0)-(c[b+16>>2]|0)|0)/i);k=9}while(0);if((k|0)==9?0:0){n=c[13918]|0;c[j>>2]=c[b+24>>2];zL(n,79662,j)|0}l=m;return}function Ki(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=+h[b+8>>3]-+h[c+8>>3];h[a>>3]=+h[b>>3]-+h[c>>3];h[a+8>>3]=d;return}function Li(d,e){d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0,k=0,l=0,m=0.0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0.0;s=(Vf(d)|0)==(d|0);v=d+16|0;w=c[v>>2]|0;a:do if(s){f=b[w+236>>1]|0;d=b[w+238>>1]|0;q=d<<16>>16;r=w+196|0;s=w+196|0;p=f<<16>>16;i=-2147483647.0;g=2147483647.0;while(1){if((p|0)>(q|0))break;j=c[r>>2]|0;o=c[j+(p<<6)>>2]|0;if((o|0)!=0?(t=c[j+(p<<6)+4>>2]|0,u=c[t>>2]|0,(u|0)!=0):0){l=1;j=u;while(1){j=c[j+16>>2]|0;k=a[j+156>>0]|0;if(!((l|0)<(o|0)&k<<24>>24!=0))break;j=c[t+(l<<2)>>2]|0;l=l+1|0}if(!(k<<24>>24)){m=+h[j+16>>3]-+h[j+88>>3];n=g<m;l=c[(c[s>>2]|0)+(p<<6)+4>>2]|0;k=o+-2|0;j=o+-1|0;while(1){j=c[(c[l+(j<<2)>>2]|0)+16>>2]|0;if(!(a[j+156>>0]|0))break;else{j=k;k=k+-1|0}}x=+h[j+96>>3]+ +h[j+16>>3];i=i>x?i:x;g=n?g:m}}p=p+1|0}k=c[w+180>>2]|0;l=w+184|0;j=1;while(1){if((j|0)>(k|0))break a;u=c[(c[(c[l>>2]|0)+(j<<2)>>2]|0)+16>>2]|0;x=+h[u+16>>3]+-8.0;m=+h[u+32>>3]+8.0;j=j+1|0;i=i>m?i:m;g=g<x?g:x}}else{i=+(c[(c[(c[w+260>>2]|0)+16>>2]|0)+232>>2]|0);g=+(c[(c[(c[w+256>>2]|0)+16>>2]|0)+232>>2]|0);f=b[w+236>>1]|0;d=b[w+238>>1]|0}while(0);e=c[(c[e+16>>2]|0)+196>>2]|0;m=+h[(c[(c[c[e+(d<<16>>16<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]-+h[w+120>>3];x=+h[w+128>>3]+ +h[(c[(c[c[e+(f<<16>>16<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3];h[w+16>>3]=g;h[w+24>>3]=m;e=c[v>>2]|0;h[e+32>>3]=i;h[e+40>>3]=x;return}function Mi(a,d,e,f){a=a|0;d=d|0;e=+e;f=f|0;var g=0,h=0,i=0,j=0;i=vw(96)|0;j=i+48|0;c[j>>2]=c[j>>2]|3;c[i>>2]=c[i>>2]&-4|2;g=vw(176)|0;h=i+16|0;c[h>>2]=g;c[((c[i>>2]&3|0)==3?i:j)+40>>2]=a;c[((c[i>>2]&3|0)==2?i:i+-48|0)+40>>2]=d;if(e>65535.0){Ni(e);e=65535.0;g=c[h>>2]|0}b[g+170>>1]=~~(e+(e>=0.0?.5:-.5));c[g+156>>2]=f;Vg(i)|0;return i|0}function Ni(a){a=+a;var b=0,d=0;b=l;l=l+16|0;d=b;h[d>>3]=a;c[d+8>>2]=65535;_l(1,79692,d)|0;l=b;return}function Oi(a){a=a|0;var b=0,d=0,e=0,f=0;a=(c[a+16>>2]|0)+192|0;while(1){a=c[a>>2]|0;if(!a)break;f=a+16|0;e=c[f>>2]|0;a=e+172|0;d=c[a+4>>2]|0;e=e+248|0;c[e>>2]=c[a>>2];c[e+4>>2]=d;e=c[f>>2]|0;d=e+180|0;a=c[d+4>>2]|0;e=e+256|0;c[e>>2]=c[d>>2];c[e+4>>2]=a;e=c[f>>2]|0;a=c[e+180>>2]|0;d=0;while(1)if(!(c[a+(d<<2)>>2]|0))break;else d=d+1|0;b=c[e+172>>2]|0;a=0;while(1)if(!(c[b+(a<<2)>>2]|0))break;else a=a+1|0;c[e+176>>2]=0;a=vw((a+d<<2)+16|0)|0;e=c[f>>2]|0;c[e+172>>2]=a;c[e+184>>2]=0;e=vw(16)|0;a=c[f>>2]|0;c[a+180>>2]=e;a=a+164|0}return}function Pi(d){d=d|0;var f=0,g=0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0.0,q=0,r=0,s=0,t=0.0,u=0,v=0,w=0,x=0,y=0,z=0,A=0.0,B=0.0;z=l;l=l+16|0;w=z;x=d+16|0;u=c[x>>2]|0;y=c[u+196>>2]|0;d=(a[(c[(c[d+60>>2]|0)+16>>2]|0)+113>>0]&1)!=0;v=c[u+248>>2]|0;c[w>>2]=v;c[w+4>>2]=d?5:v;v=b[u+236>>1]|0;d=u;while(1){if((v|0)>(b[d+238>>1]|0))break;r=y+(v<<6)+4|0;c[(c[(c[c[r>>2]>>2]|0)+16>>2]|0)+232>>2]=0;s=y+(v<<6)|0;t=+(c[w+((v&1)<<2)>>2]|0);p=0.0;k=0;a:while(1){if((k|0)>=(c[s>>2]|0))break;f=c[r>>2]|0;m=c[f+(k<<2)>>2]|0;u=m+16|0;d=c[u>>2]|0;i=+h[d+96>>3];h[d+240>>3]=i;if((c[d+208>>2]|0)>0){j=0;f=0;while(1){g=c[(c[d+204>>2]|0)+(j<<2)>>2]|0;if(!g)break;q=c[g>>2]&3;if((c[((q|0)==3?g:g+48|0)+40>>2]|0)==(c[((q|0)==2?g:g+-48|0)+40>>2]|0)){f=(Qz(g)|0)+f|0;d=c[u>>2]|0}j=j+1|0}q=d+96|0;i=+h[q>>3]+ +(f|0);h[q>>3]=i;f=c[r>>2]|0}q=k+1|0;f=c[f+(q<<2)>>2]|0;if(f){o=f+16|0;i=i+t+ +h[(c[o>>2]|0)+88>>3];Mi(m,f,i,0)|0;d=~~(i+p);c[(c[o>>2]|0)+232>>2]=d;p=+(d|0);d=c[u>>2]|0}f=c[d+112>>2]|0;if(f){j=c[d+256>>2]|0;k=c[j>>2]|0;j=c[j+4>>2]|0;d=(c[(c[(c[((c[k>>2]&3|0)==2?k:k+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0)>(c[(c[(c[((c[j>>2]&3|0)==2?j:j+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0);g=d?j:k;j=d?k:j;k=f+16|0;d=c[k>>2]|0;i=+((O(c[(c[x>>2]|0)+248>>2]|0,e[d+170>>1]|0)|0)/2|0|0);o=c[g>>2]&3;f=c[((o|0)==2?g:g+-48|0)+40>>2]|0;g=c[((o|0)==3?g:g+48|0)+40>>2]|0;if(!(_i(g,f)|0))Mi(f,g,+(~~(+h[(c[f+16>>2]|0)+96>>3]+i+ +h[(c[g+16>>2]|0)+88>>3])|0),c[d+156>>2]|0)|0;d=c[j>>2]&3;f=c[((d|0)==3?j:j+48|0)+40>>2]|0;d=c[((d|0)==2?j:j+-48|0)+40>>2]|0;if(!(_i(d,f)|0)){Mi(f,d,+(~~(+h[(c[f+16>>2]|0)+96>>3]+i+ +h[(c[d+16>>2]|0)+88>>3])|0),c[(c[k>>2]|0)+156>>2]|0)|0;o=0}else o=0}else o=0;while(1){d=c[u>>2]|0;if((o|0)>=(c[d+192>>2]|0)){k=q;continue a}m=c[(c[d+188>>2]|0)+(o<<2)>>2]|0;k=c[m>>2]&3;g=c[((k|0)==3?m:m+48|0)+40>>2]|0;k=c[((k|0)==2?m:m+-48|0)+40>>2]|0;j=(c[(c[g+16>>2]|0)+236>>2]|0)<(c[(c[k+16>>2]|0)+236>>2]|0);f=j?g:k;g=j?k:g;i=+h[(c[g+16>>2]|0)+88>>3]+ +h[(c[f+16>>2]|0)+96>>3];k=m+16|0;j=~~(i+ +(O(c[(c[x>>2]|0)+248>>2]|0,e[(c[k>>2]|0)+170>>1]|0)|0));n=Sg(f,g)|0;if(!n){d=c[k>>2]|0;if(!(c[d+96>>2]|0))Mi(f,g,+(j|0),c[d+156>>2]|0)|0}else{A=+(j|0);d=c[k>>2]|0;B=+h[d+136>>3];i=i+ +(c[(c[x>>2]|0)+248>>2]|0)+ +(~~(B+(B>=0.0?.5:-.5))|0);f=~~(i<A?A:i);if((f|0)>65535){Ni(+(f|0));f=65535;d=c[k>>2]|0}k=c[n+16>>2]|0;j=k+170|0;g=e[j>>1]|0;b[j>>1]=(f|0)<(g|0)?g:f;k=k+156|0;c[k>>2]=c[(c[((c[k>>2]|0)>(c[d+156>>2]|0)?n:m)+16>>2]|0)+156>>2]}o=o+1|0}}v=v+1|0;d=c[x>>2]|0}l=z;return}function Qi(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0;d=(c[b+16>>2]|0)+192|0;while(1){d=c[d>>2]|0;if(!d)break;g=d+16|0;d=c[g>>2]|0;e=c[d+256>>2]|0;a:do if(e){f=0;while(1){e=c[e+(f<<2)>>2]|0;if(!e)break a;n=fh(b)|0;d=n+16|0;a[(c[d>>2]|0)+156>>0]=2;l=e+16|0;k=c[l>>2]|0;i=~~(+h[k+56>>3]-+h[k+16>>3]);m=(i|0)>0;j=m?0:0-i|0;i=m?i:0;m=e+48|0;Mi(n,c[((c[e>>2]&3|0)==3?e:m)+40>>2]|0,+(i+1|0),c[k+156>>2]|0)|0;k=e+-48|0;Mi(n,c[((c[e>>2]&3|0)==2?e:k)+40>>2]|0,+(j+1|0),c[(c[l>>2]|0)+156>>2]|0)|0;l=c[e>>2]&3;i=(c[(c[(c[((l|0)==3?e:m)+40>>2]|0)+16>>2]|0)+232>>2]|0)-i|0;e=(c[(c[(c[((l|0)==2?e:k)+40>>2]|0)+16>>2]|0)+232>>2]|0)-j|0;c[(c[d>>2]|0)+232>>2]=((i|0)<(e|0)?i:e)+-1;d=c[g>>2]|0;f=f+1|0;e=c[d+256>>2]|0}}while(0);d=d+164|0}return}function Ri(a){a=a|0;if((c[(c[a+16>>2]|0)+180>>2]|0)>0){Vi(a);Wi(a);Xi(a);Yi(a)}return}function Si(a){a=a|0;var b=0.0,d=0.0,e=0,f=0;e=a+16|0;f=c[(c[e>>2]|0)+8>>2]|0;if((c[f+84>>2]|0)==3?(b=+h[f+64>>3],d=+h[f+72>>3],!(d*b<=1.0)):0){Ti(a);f=c[e>>2]|0;d=(c[f+116>>2]&1|0)==0?b:d;Mi(c[f+256>>2]|0,c[f+260>>2]|0,d<65535.0?d:65535.0,1e3)|0}return}function Ti(a){a=a|0;var d=0,e=0,f=0.0,g=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+16|0;m=n;e=DA(a,c[42188]|0,8,0)|0;Ui(a);i=a+16|0;g=c[i>>2]|0;j=c[g+256>>2]|0;k=c[g+260>>2]|0;f=+(e|0);e=b[g+236>>1]|0;while(1){if((e|0)>(b[g+238>>1]|0))break;d=c[g+196>>2]|0;do if(c[d+(e<<6)>>2]|0){d=c[c[d+(e<<6)+4>>2]>>2]|0;if(!d){c[m>>2]=Dn(a)|0;c[m+4>>2]=e;_l(1,79776,m)|0;break}else{Mi(j,d,+h[(c[d+16>>2]|0)+88>>3]+f+ +h[g+96>>3],0)|0;g=c[i>>2]|0;d=c[g+196>>2]|0;d=c[(c[d+(e<<6)+4>>2]|0)+((c[d+(e<<6)>>2]|0)+-1<<2)>>2]|0;Mi(d,k,+h[(c[d+16>>2]|0)+96>>3]+f+ +h[g+64>>3],0)|0;break}}while(0);e=e+1|0;g=c[i>>2]|0}l=n;return}function Ui(b){b=b|0;var d=0,e=0,f=0;d=b+16|0;if(!(c[(c[d>>2]|0)+256>>2]|0)){f=fh(Vf(b)|0)|0;a[(c[f+16>>2]|0)+156>>0]=2;e=fh(Vf(b)|0)|0;a[(c[e+16>>2]|0)+156>>0]=2;if((c[(c[d>>2]|0)+12>>2]|0?(Vf(b)|0)!=(b|0):0)?(c[(c[(so(b)|0)+16>>2]|0)+116>>2]&1|0)==0:0){b=c[d>>2]|0;Mi(f,e,+(~~+h[b+48+((+h[b+48>>3]>+h[b+80>>3]?0:2)<<4)>>3]|0),0)|0}d=c[d>>2]|0;c[d+256>>2]=f;c[d+260>>2]=e}return}function Vi(a){a=a|0;var b=0,d=0;do if((Vf(a)|0)!=(a|0)){Ti(a);a=a+16|0;b=c[a>>2]|0;b=Sg(c[b+256>>2]|0,c[b+260>>2]|0)|0;if(!b){d=c[a>>2]|0;Mi(c[d+256>>2]|0,c[d+260>>2]|0,1.0,128)|0;break}else{d=(c[b+16>>2]|0)+156|0;c[d>>2]=(c[d>>2]|0)+128;break}}else a=a+16|0;while(0);b=1;while(1){d=c[a>>2]|0;if((b|0)>(c[d+180>>2]|0))break;Vi(c[(c[d+184>>2]|0)+(b<<2)>>2]|0);b=b+1|0}return}function Wi(d){d=d|0;var e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0.0,n=0,o=0;k=DA(d,c[42188]|0,8,0)|0;o=d+16|0;e=c[o>>2]|0;m=+(k|0);k=b[e+236>>1]|0;while(1){if((k|0)>(b[e+238>>1]|0)){f=1;break}e=c[e+196>>2]|0;a:do if(c[e+(k<<6)>>2]|0?(l=c[c[e+(k<<6)+4>>2]>>2]|0,l|0):0){i=l+16|0;f=c[(c[i>>2]|0)+236>>2]|0;while(1){if((f|0)<=0)break;f=f+-1|0;j=c[(c[(c[(c[(Vf(d)|0)+16>>2]|0)+196>>2]|0)+(k<<6)+4>>2]|0)+(f<<2)>>2]|0;g=j+16|0;e=c[g>>2]|0;if(!(a[e+156>>0]|0)){n=10;break}if(Zi(d,j)|0){n=9;break}}if((n|0)==9){e=c[g>>2]|0;n=10}if((n|0)==10){n=0;Mi(j,c[(c[o>>2]|0)+256>>2]|0,+h[e+96>>3]+m,0)|0}f=(c[(c[(c[o>>2]|0)+196>>2]|0)+(k<<6)>>2]|0)+(c[(c[i>>2]|0)+236>>2]|0)|0;while(1){if((f|0)>=(c[(c[(c[(Vf(d)|0)+16>>2]|0)+196>>2]|0)+(k<<6)>>2]|0))break a;i=c[(c[(c[(c[(Vf(d)|0)+16>>2]|0)+196>>2]|0)+(k<<6)+4>>2]|0)+(f<<2)>>2]|0;g=i+16|0;e=c[g>>2]|0;if(!(a[e+156>>0]|0))break;if(!(Zi(d,i)|0))f=f+1|0;else{n=15;break}}if((n|0)==15){n=0;e=c[g>>2]|0}Mi(c[(c[o>>2]|0)+260>>2]|0,i,+h[e+88>>3]+m,0)|0}while(0);k=k+1|0;e=c[o>>2]|0}while(1){if((f|0)>(c[e+180>>2]|0))break;Wi(c[(c[e+184>>2]|0)+(f<<2)>>2]|0);f=f+1|0;e=c[o>>2]|0}return}function Xi(a){a=a|0;var b=0,d=0.0,e=0,f=0,g=0;e=DA(a,c[42188]|0,8,0)|0;Ui(a);b=a+16|0;d=+(e|0);a=1;while(1){e=c[b>>2]|0;if((a|0)>(c[e+180>>2]|0))break;e=c[(c[e+184>>2]|0)+(a<<2)>>2]|0;Ui(e);f=c[b>>2]|0;g=e+16|0;Mi(c[f+256>>2]|0,c[(c[g>>2]|0)+256>>2]|0,+h[f+96>>3]+d,0)|0;f=c[b>>2]|0;Mi(c[(c[g>>2]|0)+260>>2]|0,c[f+260>>2]|0,+h[f+64>>3]+d,0)|0;Xi(e);a=a+1|0}return}function Yi(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0.0,n=0,o=0;d=DA(a,c[42188]|0,8,0)|0;n=a+16|0;a=1;while(1){f=c[n>>2]|0;e=c[f+180>>2]|0;if((a|0)>(e|0))break;Ui(c[(c[f+184>>2]|0)+(a<<2)>>2]|0);a=a+1|0}m=+(d|0);l=1;a=e;d=f;while(1){if((l|0)>(a|0))break;k=l+1|0;j=k;while(1){e=c[d+184>>2]|0;f=c[e+(l<<2)>>2]|0;if((j|0)>(a|0))break;e=c[e+(j<<2)>>2]|0;g=(b[(c[f+16>>2]|0)+236>>1]|0)>(b[(c[e+16>>2]|0)+236>>1]|0);i=g?e:f;e=g?f:e;f=c[i+16>>2]|0;g=c[e+16>>2]|0;o=b[g+236>>1]|0;h=o<<16>>16;if((b[f+238>>1]|0)>=o<<16>>16){a=(c[(c[(c[c[(c[f+196>>2]|0)+(h<<6)+4>>2]>>2]|0)+16>>2]|0)+236>>2]|0)<(c[(c[(c[c[(c[g+196>>2]|0)+(h<<6)+4>>2]>>2]|0)+16>>2]|0)+236>>2]|0);Mi(c[(c[(a?i:e)+16>>2]|0)+260>>2]|0,c[(c[(a?e:i)+16>>2]|0)+256>>2]|0,m,0)|0;a=c[n>>2]|0;d=a;a=c[a+180>>2]|0}j=j+1|0}Yi(f);d=c[n>>2]|0;l=k;a=c[d+180>>2]|0}return}function Zi(b,d){b=b|0;d=d|0;var e=0;d=c[d+16>>2]|0;if((a[d+156>>0]|0)==1){d=c[c[d+256>>2]>>2]|0;while(1){e=c[(c[d+16>>2]|0)+116>>2]|0;if(!e)break;else d=e}if(!(Bo(b,c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0)|0))d=(Bo(b,c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)|0)==0&1;else d=0}else d=0;return d|0}function _i(a,b){a=a|0;b=b|0;return $i(a,b)|0}function $i(a,b){a=a|0;b=b|0;var d=0,e=0;a:do if((a|0)==(b|0))a=1;else{d=c[(c[a+16>>2]|0)+180>>2]|0;a=0;while(1){e=c[d+(a<<2)>>2]|0;if(!e){a=0;break a}if(!($i(c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0,b)|0))a=a+1|0;else{a=1;break}}}while(0);return a|0}function aj(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=d+16|0;d=c[k>>2]|0;j=b[d+236>>1]|0;while(1){if((j|0)>(b[d+238>>1]|0))break;h=c[d+196>>2]|0;g=c[h+(j<<6)>>2]|0;h=h+(j<<6)+4|0;i=0;f=0;while(1){if((f|0)>=(g|0))break;e=c[(c[(c[h>>2]|0)+(f<<2)>>2]|0)+16>>2]|0;c[e+236>>2]=i;if((a[e+159>>0]|0)==6)e=c[e+216>>2]|0;else e=1;i=e+i|0;f=f+1|0}if((i|0)>(g|0)){d=c[h>>2]|0;if(!d)d=ww((i<<2)+4|0)|0;else d=yw(d,(i<<2)+4|0)|0;f=c[(c[k>>2]|0)+196>>2]|0;c[f+(j<<6)+4>>2]=d;e=c[f+(j<<6)>>2]|0;while(1){d=e+-1|0;if((e|0)<=0)break;h=c[f+(j<<6)+4>>2]|0;e=c[h+(d<<2)>>2]|0;c[h+(c[(c[e+16>>2]|0)+236>>2]<<2)>>2]=e;e=d;f=c[(c[k>>2]|0)+196>>2]|0}c[f+(j<<6)>>2]=i;c[(c[f+(j<<6)+4>>2]|0)+(i<<2)>>2]=0;d=c[k>>2]|0}j=j+1|0}return}function bj(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;o=l;l=l+48|0;n=o+32|0;m=o+8|0;d=o+24|0;k=o+16|0;j=o;e=b+16|0;f=c[e>>2]|0;a:do if((c[f+216>>2]|0)>=2){c[m>>2]=~~(+h[f+16>>3]-+h[f+88>>3]);c[m+4>>2]=~~+h[f+24>>3];c[n>>2]=c[m>>2];c[n+4>>2]=c[m+4>>2];cj(d,b,n);g=d;i=c[g+4>>2]|0;d=m;c[d>>2]=c[g>>2];c[d+4>>2]=i;d=c[e>>2]|0;if((c[d+184>>2]|0)>0){j=c[c[d+180>>2]>>2]|0;d=(c[d+236>>2]|0)+1|0;j=Sm(a,c[((c[j>>2]&3|0)==2?j:j+-48|0)+40>>2]|0)|0;while(1){if(!j)break a;i=(c[j>>2]&3|0)==2?j:j+-48|0;e=i+48|0;f=c[((c[i>>2]&3|0)==3?i:e)+40>>2]|0;if((f|0)!=(b|0)?(KA(f)|0)==(b|0):0){f=c[((c[i>>2]&3|0)==3?i:e)+40>>2]|0;c[n>>2]=c[m>>2];c[n+4>>2]=c[m+4>>2];dj(k,a,f,n,d);f=k;e=c[f+4>>2]|0;g=m;c[g>>2]=c[f>>2];c[g+4>>2]=e;kh(i);g=i+-48|0;e=c[(c[((c[i>>2]&3|0)==2?i:g)+40>>2]|0)+16>>2]|0;f=c[e+172>>2]|0;if(!f)e=ww((c[e+176>>2]<<2)+8|0)|0;else e=yw(f,(c[e+176>>2]<<2)+8|0)|0;c[(c[(c[((c[i>>2]&3|0)==2?i:g)+40>>2]|0)+16>>2]|0)+172>>2]=e;p=c[(c[((c[i>>2]&3|0)==2?i:g)+40>>2]|0)+16>>2]|0;e=c[p+172>>2]|0;p=p+176|0;f=c[p>>2]|0;c[p>>2]=f+1;c[e+(f<<2)>>2]=i;i=c[(c[((c[i>>2]&3|0)==2?i:g)+40>>2]|0)+16>>2]|0;c[(c[i+172>>2]|0)+(c[i+176>>2]<<2)>>2]=0;d=d+1|0}j=Tm(a,j)|0}}else{i=c[c[d+172>>2]>>2]|0;d=(c[d+236>>2]|0)+1|0;i=Pm(a,c[((c[i>>2]&3|0)==3?i:i+48|0)+40>>2]|0)|0;while(1){if(!i)break a;e=i+-48|0;f=c[((c[i>>2]&3|0)==2?i:e)+40>>2]|0;if((f|0)!=(b|0)?(KA(f)|0)==(b|0):0){f=c[((c[i>>2]&3|0)==2?i:e)+40>>2]|0;c[n>>2]=c[m>>2];c[n+4>>2]=c[m+4>>2];dj(j,a,f,n,d);f=j;e=c[f+4>>2]|0;g=m;c[g>>2]=c[f>>2];c[g+4>>2]=e;kh(i);g=i+48|0;e=c[(c[((c[i>>2]&3|0)==3?i:g)+40>>2]|0)+16>>2]|0;f=c[e+180>>2]|0;if(!f)e=ww((c[e+184>>2]<<2)+8|0)|0;else e=yw(f,(c[e+184>>2]<<2)+8|0)|0;c[(c[(c[((c[i>>2]&3|0)==3?i:g)+40>>2]|0)+16>>2]|0)+180>>2]=e;f=c[(c[((c[i>>2]&3|0)==3?i:g)+40>>2]|0)+16>>2]|0;k=c[f+180>>2]|0;f=f+184|0;p=c[f>>2]|0;c[f>>2]=p+1;c[k+(p<<2)>>2]=i;p=c[(c[((c[i>>2]&3|0)==3?i:g)+40>>2]|0)+16>>2]|0;c[(c[p+180>>2]|0)+(c[p+184>>2]<<2)>>2]=0;d=d+1|0}i=Rm(a,i)|0}}}while(0);l=o;return}function cj(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0.0;KB(b,c[(c[(ro(b)|0)+16>>2]|0)+116>>2]&1);e=c[b+16>>2]|0;h[e+24>>3]=+(c[d+4>>2]|0);f=+h[e+88>>3]+ +(c[d>>2]|0);h[e+16>>3]=f;f=f+ +h[e+96>>3];c[d>>2]=~~(f+ +(c[(c[(ro(b)|0)+16>>2]|0)+248>>2]|0));e=d;b=c[e+4>>2]|0;d=a;c[d>>2]=c[e>>2];c[d+4>>2]=b;return}function dj(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0;i=l;l=l+16|0;h=i;b=Vf(b)|0;g=KA(d)|0;if((g|0)!=(d|0))ch(g,d);j=c[d+16>>2]|0;c[j+236>>2]=f;g=c[(c[g+16>>2]|0)+232>>2]|0;c[j+232>>2]=g;c[(c[(c[(c[b+16>>2]|0)+196>>2]|0)+(g<<6)+4>>2]|0)+(f<<2)>>2]=d;c[h>>2]=c[e>>2];c[h+4>>2]=c[e+4>>2];cj(a,d,h);l=i;return}function ej(a){a=a|0;var d=0.0,e=0.0,f=0,g=0,i=0,j=0.0,k=0,l=0,m=0,n=0.0;m=c[(c[(Vf(a)|0)+16>>2]|0)+196>>2]|0;if((Vf(a)|0)==(a|0))j=8.0;else j=+(DA(a,c[42188]|0,8,0)|0);l=a+16|0;g=c[l>>2]|0;f=0;k=1;e=+h[g+120>>3];d=+h[g+128>>3];while(1){if((k|0)>(c[g+180>>2]|0))break;i=c[(c[g+184>>2]|0)+(k<<2)>>2]|0;f=ej(i)|0|f;i=c[i+16>>2]|0;g=c[l>>2]|0;if((b[i+238>>1]|0)==(b[g+238>>1]|0)){n=+h[i+120>>3]+j;e=e>n?e:n}if((b[i+236>>1]|0)==(b[g+236>>1]|0)){n=+h[i+128>>3]+j;d=d>n?d:n}k=k+1|0}if((Vf(a)|0)!=(a|0)?(c[(c[l>>2]|0)+12>>2]|0)!=0:0)if(!(c[(c[(so(a)|0)+16>>2]|0)+116>>2]&1)){k=c[l>>2]|0;f=1;e=+h[k+56>>3]+e;d=+h[k+88>>3]+d}else f=1;k=c[l>>2]|0;h[k+120>>3]=e;h[k+128>>3]=d;if((Vf(a)|0)!=(a|0)){l=c[l>>2]|0;a=m+(b[l+236>>1]<<6)+24|0;n=+h[a>>3];h[a>>3]=n>d?n:d;m=m+(b[l+238>>1]<<6)+16|0;n=+h[m>>3];h[m>>3]=n>e?n:e}return f|0}function fj(a,d){a=a|0;d=d|0;var e=0,f=0.0,g=0.0,i=0,j=0,k=0.0,l=0,m=0,n=0,o=0,p=0.0,q=0.0;o=c[(c[(Vf(a)|0)+16>>2]|0)+196>>2]|0;if((Vf(a)|0)==(a|0))e=0;else e=DA(a,c[42188]|0,8,0)|0;l=a+16|0;i=c[l>>2]|0;m=e+d|0;k=+(e|0);j=1;f=+h[i+128>>3];g=+h[i+120>>3];e=i;while(1){if((j|0)>(c[e+180>>2]|0))break;i=c[(c[e+184>>2]|0)+(j<<2)>>2]|0;fj(i,m);i=c[i+16>>2]|0;e=c[l>>2]|0;if((b[i+238>>1]|0)==(b[e+238>>1]|0)){q=+h[i+120>>3]+k;g=g>q?g:q}if((b[i+236>>1]|0)==(b[e+236>>1]|0)){q=+h[i+128>>3]+k;f=f>q?f:q}j=j+1|0}h[e+120>>3]=g;h[e+128>>3]=f;if(((Vf(a)|0)!=(a|0)?(n=c[l>>2]|0,c[n+12>>2]|0):0)?(p=-g-f+ +h[n+48+((+h[n+104>>3]>+h[n+72>>3]?3:1)<<4)+8>>3]-+h[(c[(c[c[o+(b[n+236>>1]<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]+ +h[(c[(c[c[o+(b[n+238>>1]<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3],p>0.0):0)gj(a,~~p,d);if((Vf(a)|0)!=(a|0)){n=c[l>>2]|0;m=o+(b[n+236>>1]<<6)+24|0;q=+h[m>>3];p=+h[n+128>>3];h[m>>3]=q>p?q:p;o=o+(b[n+238>>1]<<6)+16|0;p=+h[o>>3];q=+h[n+120>>3];h[o>>3]=p>q?p:q}return}function gj(a,d,e){a=a|0;d=d|0;e=e|0;var f=0,g=0.0,i=0.0,j=0.0,k=0,l=0,m=0,n=0.0,o=0.0,p=0,q=0,r=0;k=c[(Vf(a)|0)+16>>2]|0;q=c[k+196>>2]|0;p=c[a+16>>2]|0;a=b[p+238>>1]|0;f=b[p+236>>1]|0;l=(d+1|0)/2|0;m=p+120|0;n=+h[m>>3];o=+(l|0);i=+(e|0);e=~~(o+i+n-+h[q+(a<<6)+16>>3]);if((e|0)>0){g=+(e|0);while(1){if((a|0)<(f|0))break;if((c[q+(a<<6)>>2]|0)>0){r=(c[(c[c[q+(a<<6)+4>>2]>>2]|0)+16>>2]|0)+24|0;h[r>>3]=+h[r>>3]+g}a=a+-1|0}j=+h[p+128>>3];a=e;g=j+ +(d-l|0)}else{j=+h[p+128>>3];a=d-l|0;g=j}a=~~(+(a|0)+i+g-+h[q+(f<<6)+24>>3]);a:do if((a|0)>0){e=b[k+236>>1]|0;g=+(a|0);while(1){a=f+-1|0;if((f|0)<=(e|0))break a;if((c[q+(a<<6)>>2]|0)<=0){f=a;continue}f=(c[(c[c[q+(a<<6)+4>>2]>>2]|0)+16>>2]|0)+24|0;h[f>>3]=+h[f>>3]+g;f=a}}while(0);h[p+128>>3]=j+ +(d-l|0);h[m>>3]=n+o;return}function hj(b,d){b=b|0;d=d|0;var e=0,f=0;e=c[b+16>>2]|0;f=a[e+84>>0]|0;b=c[d+16>>2]|0;do if(f<<24>>24==(a[b+84>>0]|0)){if(+h[e+56>>3]==+h[b+56>>3]){if(!(f<<24>>24==0?1:+h[e+64>>3]==+h[b+64>>3])){b=0;break}}else if(f<<24>>24){b=0;break}if(+h[e+16>>3]==+h[b+16>>3]?+h[e+24>>3]==+h[b+24>>3]:0){b=1;break}b=(a[e+44>>0]|0)==0&1}else b=0;while(0);return b|0}function ij(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=a+16|0;d=c[i>>2]|0;b[d+236>>1]=32767;b[d+238>>1]=-1;d=0;h=co(a)|0;while(1){e=c[i>>2]|0;if(!h)break;f=e+238|0;g=c[(c[h+16>>2]|0)+232>>2]|0;if((g|0)>(b[f>>1]|0))b[f>>1]=g;e=e+236|0;if((g|0)<(b[e>>1]|0))b[e>>1]=g;if(!d)d=h;else d=(g|0)<(c[(c[d+16>>2]|0)+232>>2]|0)?h:d;h=eo(a,h)|0}c[e+264>>2]=d;return}function jj(a){a=a|0;var b=0,d=0,e=0,f=0,g=0.0;b=Im(a,79821)|0;if(!b)b=2147483647;else{g=+sM(b);b=~~(g*+(mn(a)|0))}e=a+16|0;d=0;while(1){f=c[e>>2]|0;if((d|0)>=(c[f+220>>2]|0))break;c[f+192>>2]=c[(c[f+216>>2]|0)+(d<<2)>>2];gx(a,(c[f+180>>2]|0)==0&1,b)|0;d=d+1|0}return}function kj(a,d){a=a|0;d=d|0;var e=0,f=0,g=0;f=l;l=l+16|0;e=f;if(!(Im(a,79830)|0))mj(a,d);else{g=(c[a+16>>2]|0)+136|0;b[g>>1]=b[g>>1]|16;lj(a,d)}if(0){g=c[13918]|0;a=c[a+16>>2]|0;d=b[a+236>>1]|0;c[e>>2]=b[a+238>>1];c[e+4>>2]=d;zL(g,79838,e)|0}l=f;return}function lj(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0.0;i=l;l=l+16|0;h=i;c[41933]=0;a[h>>0]=a[17644]|0;a[h+1>>0]=a[17645]|0;a[h+2>>0]=a[17646]|0;a[h+3>>0]=a[17647]|0;h=gn(80048,h,0)|0;No(h,80077,280,1)|0;zo(h,17332,17272);nj(b);e=Im(b,79821)|0;if(!e)f=2147483647;else{j=+sM(e);f=~~(j*+(mn(b)|0))}Dj(b,0);Ej(b,h);Fj(b,h);Gj(b,h,0,0);Hj(h);g=Ij(h)|0;Jj(h);if(d|0){xk(h);lk(h)}e=Im(b,87620)|0;if(!e)e=-1;else e=rM(e)|0;zw(h,1,f,e)|0;Kj(b,h,g);ln(h)|0;l=i;return}function mj(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;g=l;l=l+32|0;f=g+16|0;e=g+8|0;d=g;nj(a);do if(!b){oj(a,a);Ak(a);pj(d,a);h=d;d=c[h+4>>2]|0;b=e;c[b>>2]=c[h>>2];c[b+4>>2]=d;tl(a,0);b=0}else{xk(a);lk(a);oj(a,a);Ak(a);pj(d,a);i=d;d=c[i+4>>2]|0;h=e;c[h>>2]=c[i>>2];c[h+4>>2]=d;tl(a,0);h=c[a+16>>2]|0;if((c[h+220>>2]|0)<=1?(c[h+180>>2]|0)<=0:0)break;c[b+32>>2]=1;b=0}while(0);ik(a);c[f>>2]=c[e>>2];c[f+4>>2]=c[e+4>>2];if(qj(a,f)|0)tl(a,0);if(!b)jj(a);else mk(a,b);rj(a,b);sj(a);l=g;return}function nj(d){d=d|0;var f=0,g=0,h=0;if(a[(c[(c[d+60>>2]|0)+16>>2]|0)+113>>0]&1){g=co(d)|0;while(1){if(!g)break;f=Pm(d,g)|0;while(1){if(!f)break;h=(c[f+16>>2]|0)+170|0;b[h>>1]=(e[h>>1]|0)<<1;f=Rm(d,f)|0}g=eo(d,g)|0}h=(c[d+16>>2]|0)+252|0;c[h>>2]=((c[h>>2]|0)+1|0)/2|0}return}function oj(a,b){a=a|0;b=b|0;var d=0;b=Jp(b)|0;while(1){if(!b)break;d=Aj(b)|0;do if(d)if((d|0)==7&(c[42179]|0)==100){wj(a,b);break}else{Bj(a,b,d);break}else oj(a,b);while(0);b=Kp(b)|0}return}function pj(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;i=d+16|0;e=c[i>>2]|0;d=c[e+228>>2]|0;e=c[e+224>>2]|0;f=(e|0)==0;if(!d)if(f){j=0;k=0}else g=4;else if(f)g=5;else g=4;if((g|0)==4){d=KA(e)|0;e=c[i>>2]|0;c[e+224>>2]=d;d=c[e+228>>2]|0;if(!d){h=0;d=e;g=12}else g=5}do if((g|0)==5){d=KA(d)|0;e=c[i>>2]|0;c[e+228>>2]=d;if(d){e=d+16|0;d=c[e>>2]|0;f=(a[d+159>>0]|0)==5&1;while(1){d=c[c[d+180>>2]>>2]|0;if(!d){g=11;break}h=c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0;if((h|0)!=(KA(h)|0)){g=9;break}hk(d);d=c[e>>2]|0}if((g|0)==9)ma(79941,79881,346,79973);else if((g|0)==11){h=f;d=c[i>>2]|0;g=12;break}}else{h=0;d=e;g=12}}while(0);a:do if((g|0)==12){d=c[d+224>>2]|0;if(!d){j=0;k=h}else{e=d+16|0;d=c[e>>2]|0;f=(a[d+159>>0]|0)==3&1;while(1){d=c[c[d+172>>2]>>2]|0;if(!d){j=f;k=h;break a}i=c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0;if((i|0)!=(KA(i)|0))break;hk(d);d=c[e>>2]|0}ma(79986,79881,353,79973)}}while(0);c[b>>2]=j;c[b+4>>2]=k;return}function qj(a,d){a=a|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0;j=a+16|0;i=c[j>>2]|0;if((c[i+228>>2]|0)==0?(c[i+224>>2]|0)==0:0)d=0;else e=3;a:do if((e|0)==3){g=co(a)|0;i=d+4|0;h=c[d>>2]&65535;d=0;while(1){if(!g)break a;if((g|0)==(KA(g)|0)){f=g+16|0;e=c[f>>2]|0;if((c[e+184>>2]|0)==0?(k=c[(c[j>>2]|0)+228>>2]|0,!((k|0)==0|(g|0)==(k|0))):0){d=ah(g,k,0)|0;e=c[d+16>>2]|0;b[e+170>>1]=c[i>>2];c[e+156>>2]=0;e=c[f>>2]|0}if((c[e+176>>2]|0)==0?(l=c[(c[j>>2]|0)+224>>2]|0,!((l|0)==0|(g|0)==(l|0))):0){d=ah(l,g,0)|0;f=c[d+16>>2]|0;b[f+170>>1]=h;c[f+156>>2]=0}}g=eo(a,g)|0}}while(0);return (d|0)!=0|0}function rj(d,e){d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;g=co(d)|0;k=d+16|0;f=c[k>>2]|0;a:do if(g){b[f+236>>1]=32767;b[f+238>>1]=-1;j=(e|0)==0;while(1){if(!g)break;f=KA(g)|0;i=c[g+16>>2]|0;e=c[i+232>>2]|0;do if((f|0)!=(g|0)){if(!j)if(!e)e=0;else break;e=e+(c[(c[f+16>>2]|0)+232>>2]|0)|0;c[i+232>>2]=e}while(0);f=c[k>>2]|0;h=f+238|0;if((e|0)>(b[h>>1]|0))b[h>>1]=e;f=f+236|0;if((e|0)<(b[f>>1]|0))b[f>>1]=e;switch(a[i+159>>0]|0){case 6:case 0:break;default:MA(g)}g=eo(d,g)|0}if((Vf(d)|0)==(d|0)){if((c[42179]|0)==100)e=1;else{vj(d);break}while(1){f=c[k>>2]|0;if((e|0)>(c[f+180>>2]|0))break a;uj(c[(c[f+184>>2]|0)+(e<<2)>>2]|0);e=e+1|0}}}else{b[f+238>>1]=0;b[f+236>>1]=0}while(0);return}function sj(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;j=b+16|0;e=0;while(1){d=c[j>>2]|0;if((e|0)>=(c[d+220>>2]|0))break;i=c[(c[d+216>>2]|0)+(e<<2)>>2]|0;c[d+192>>2]=i;d=i;while(1){if(!d)break;i=d+16|0;tj((c[i>>2]|0)+172|0);tj((c[i>>2]|0)+180|0);i=c[i>>2]|0;a[i+157>>0]=0;d=c[i+164>>2]|0}e=e+1|0}i=co(b)|0;while(1){if(!i)break;h=Pm(b,i)|0;while(1){if(!h)break;f=h+16|0;d=c[f>>2]|0;g=c[d+172>>2]|0;if((g|0)!=0?(k=g+16|0,(h|0)==(c[(c[k>>2]|0)+116>>2]|0)):0){d=co(b)|0;while(1){if(!d)break;e=Pm(b,d)|0;while(1){if(!e)break;if((h|0)!=(e|0)?(l=(c[e+16>>2]|0)+172|0,m=c[l>>2]|0,(m|0)!=0&(g|0)==(m|0)):0)c[l>>2]=0;e=Rm(b,e)|0}d=eo(b,d)|0}_I(c[k>>2]|0);_I(g);d=c[f>>2]|0}c[d+172>>2]=0;h=Rm(b,h)|0}i=eo(b,i)|0}_I(c[(c[j>>2]|0)+216>>2]|0);m=c[j>>2]|0;c[m+216>>2]=0;c[m+220>>2]=0;return}function tj(a){a=a|0;var b=0,d=0;d=a+4|0;b=c[d>>2]|0;while(1){if((b|0)<=-1)break;c[(c[a>>2]|0)+(b<<2)>>2]=0;b=b+-1|0}c[d>>2]=0;return}function uj(a){a=a|0;var d=0,f=0,g=0;d=a+16|0;f=c[d>>2]|0;g=c[(c[(c[f+264>>2]|0)+16>>2]|0)+232>>2]|0;a=f+236|0;b[a>>1]=g+(e[a>>1]|0);a=f+238|0;b[a>>1]=g+(e[a>>1]|0);a=1;while(1){if((a|0)>(c[f+180>>2]|0))break;uj(c[(c[f+184>>2]|0)+(a<<2)>>2]|0);a=a+1|0;f=c[d>>2]|0}return}function vj(b){b=b|0;var d=0;d=Jp(Vf(b)|0)|0;while(1){if(!d)break;if((a[(c[d+16>>2]|0)+274>>0]|0)==7)wj(b,d);d=Kp(d)|0}return}function wj(a,b){a=a|0;b=b|0;var d=0;d=(c[b+16>>2]|0)+200|0;do if((c[d>>2]|0)==0?(c[d>>2]=a,xj(a,b),co(b)|0):0){yj(a,b);if((c[42179]|0)==100){mj(b,0);zj(b);break}else{ij(b);break}}while(0);return}function xj(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;h=b+16|0;g=co(d)|0;while(1){if(!g)break;i=eo(d,g)|0;j=g+16|0;if(!(a[(c[j>>2]|0)+159>>0]|0))f=1;else{qo(d,g)|0;g=i;continue}while(1){e=c[h>>2]|0;b=c[e+180>>2]|0;if((f|0)>=(b|0))break;if(Bo(c[(c[e+184>>2]|0)+(f<<2)>>2]|0,g)|0){k=7;break}f=f+1|0}if((k|0)==7){k=0;b=c[(c[h>>2]|0)+180>>2]|0}if((f|0)<(b|0))qo(d,g)|0;c[(c[j>>2]|0)+212>>2]=0;g=i}e=co(d)|0;while(1){if(!e)break;b=Pm(Vf(d)|0,e)|0;while(1){if(!b)break;if(Bo(d,c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0)en(d,b,1)|0;b=Rm(Vf(d)|0,b)|0}e=eo(d,e)|0}return}function yj(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;e=a+16|0;d=c[e>>2]|0;g=d+180|0;a=c[g>>2]|0;f=a+1|0;c[g>>2]=f;d=c[d+184>>2]|0;if(!d)a=vw((a<<2)+8|0)|0;else a=xw(d,a+2|0,4,f)|0;c[(c[e>>2]|0)+184>>2]=a;c[a+(f<<2)>>2]=b;hw(b);return}function zj(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;g=c[b+16>>2]|0;d=g+192|0;h=0;while(1){d=c[d>>2]|0;if(!d)break;f=c[d+16>>2]|0;if(!(c[f+232>>2]|0))e=(a[f+156>>0]|0)==0?d:h;else e=h;d=f+164|0;h=e}if(!h)ma(79866,79881,238,79888);c[g+264>>2]=h;d=co(b)|0;while(1){if(!d){d=13;break}e=d+16|0;if(!((d|0)==(h|0)?1:(c[(c[e>>2]|0)+216>>2]|0)<2)){d=11;break}LA(d,h)|0;a[(c[e>>2]|0)+159>>0]=7;d=eo(b,d)|0}if((d|0)==11)ma(79903,79881,242,79888);else if((d|0)==13)return}function Aj(b){b=b|0;var d=0;if(!(Cj(b)|0)){d=UA(Im(b,80018)|0,17284,17308)|0;a[(c[b+16>>2]|0)+274>>0]=d;b=d}else b=7;return b|0}function Bj(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;g=co(d)|0;a:do if(g|0){j=e&255;i=g+16|0;f=g;h=j;while(1){a[(c[f+16>>2]|0)+159>>0]=h;f=eo(d,f)|0;if(!f)break;LA(g,f)|0;h=a[(c[i>>2]|0)+159>>0]|0}switch(e|0){case 3:case 2:{b=b+16|0;f=c[b>>2]|0;h=c[f+224>>2]|0;if(h){g=LA(h,g)|0;f=c[b>>2]|0}c[f+224>>2]=g;break}case 5:case 4:{b=b+16|0;f=c[b>>2]|0;h=c[f+228>>2]|0;if(h){g=LA(h,g)|0;f=c[b>>2]|0}c[f+228>>2]=g;break}default:break a}switch(e|0){case 3:{f=f+224|0;break}case 5:{f=f+228|0;break}default:break a}a[(c[(c[f>>2]|0)+16>>2]|0)+159>>0]=j}while(0);return}function Cj(a){a=a|0;return (VJ(Dn(a)|0,93039,7)|0)==0|0}function Dj(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+16|0;g=m;if(!(Yj(b)|0)){do if(hB(b)|0)if(!d){c[(c[b+16>>2]|0)+204>>2]=0;d=b;break}else{c[(c[b+16>>2]|0)+204>>2]=(c[(c[d+16>>2]|0)+204>>2]|0)+1;Zj(b,d);d=b;break}while(0);e=Jp(b)|0;while(1){if(!e)break;Dj(e,d);e=Kp(e)|0}a:do if(hB(b)|0){e=co(b)|0;while(1){if(!e)break a;f=(c[e+16>>2]|0)+212|0;if(!(c[f>>2]|0))c[f>>2]=b;e=eo(b,e)|0}}while(0);switch(_j(b)|0){case 3:{d=d+16|0;a[(c[d>>2]|0)+241>>0]=1;k=19;break}case 2:{d=d+16|0;k=19;break}case 5:{d=d+16|0;a[(c[d>>2]|0)+242>>0]=1;k=21;break}case 4:{d=d+16|0;k=21;break}case 1:{$j(b)|0;break}case 6:break;default:{e=Dn(b)|0;f=Im(b,80018)|0;c[g>>2]=e;c[g+4>>2]=f;_l(0,80201,g)|0}}if((k|0)==19){k=$j(b)|0;k=ak(k,c[(c[d>>2]|0)+208>>2]|0)|0;c[(c[d>>2]|0)+208>>2]=k}else if((k|0)==21){k=$j(b)|0;k=ak(k,c[(c[d>>2]|0)+212>>2]|0)|0;c[(c[d>>2]|0)+212>>2]=k}if((hB(b)|0?(h=b+16|0,i=c[h>>2]|0,j=c[i+208>>2]|0,j|0):0)?(j|0)==(c[i+212>>2]|0):0){j=$j(b)|0;k=c[h>>2]|0;c[k+208>>2]=j;c[k+212>>2]=j}}l=m;return}function Ej(a,b){a=a|0;b=b|0;var d=0,e=0;c[41933]=0;d=co(a)|0;while(1){if(!d)break;if((Lj(d)|0)==(d|0)){e=Oj(b,Dn(d)|0)|0;c[(c[d+16>>2]|0)+148>>2]=e}d=eo(a,d)|0}d=co(a)|0;while(1){if(!d)break;b=d+16|0;if(!(c[(c[b>>2]|0)+148>>2]|0)){e=c[(c[(Lj(d)|0)+16>>2]|0)+148>>2]|0;c[(c[b>>2]|0)+148>>2]=e}d=eo(a,d)|0}return}function Fj(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;h=co(a)|0;while(1){if(!h)break;d=c[(c[h+16>>2]|0)+148>>2]|0;i=Pm(a,h)|0;while(1){if(!i)break;do if((Tj(i)|0)==0?(j=i+-48|0,k=c[(c[(Lj(c[((c[i>>2]&3|0)==2?i:j)+40>>2]|0)|0)+16>>2]|0)+148>>2]|0,(d|0)!=(k|0)):0){f=c[i>>2]&3;g=i+48|0;e=((f|0)==3?i:g)+40|0;f=c[(c[(c[((f|0)==2?i:j)+40>>2]|0)+16>>2]|0)+212>>2]|0;if(!(Uj(i)|0)){if((Sj(c[(c[(c[e>>2]|0)+16>>2]|0)+212>>2]|0)|0)==0?(Sj(f)|0)==0:0){Vj(b,d,k,i);break}Wj(b,d,k,i);break}else{f=Lj(c[e>>2]|0)|0;e=c[i>>2]&3;if((f|0)!=(c[(c[(c[(c[(c[((e|0)==3?i:g)+40>>2]|0)+16>>2]|0)+212>>2]|0)+16>>2]|0)+212>>2]|0)?(g=Lj(c[((e|0)==2?i:j)+40>>2]|0)|0,(g|0)!=(c[(c[(c[(c[(c[((c[i>>2]&3|0)==2?i:j)+40>>2]|0)+16>>2]|0)+212>>2]|0)+16>>2]|0)+208>>2]|0)):0)e=k;else{e=d;d=k}Vj(b,d,e,i);break}}while(0);i=Rm(a,i)|0}h=eo(a,h)|0}return}function Gj(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;if((hB(a)|0)!=0?(Sj(a)|0)!=0:0){g=co(a)|0;while(1){if(!g)break;if(!(Sm(a,g)|0)){f=c[(c[(Lj(g)|0)+16>>2]|0)+148>>2]|0;if(!d)d=Oj(b,80099)|0;an(b,d,f,0,1)|0}if(!(Pm(a,g)|0)){f=c[(c[(Lj(g)|0)+16>>2]|0)+148>>2]|0;if(!e)e=Oj(b,80104)|0;an(b,f,e,0,1)|0}g=eo(a,g)|0}if((e|0)!=0&(d|0)!=0){Rj(an(b,d,e,0,1)|0,0,1e3);f=d}else f=d}else f=d;d=Jp(a)|0;while(1){if(!d)break;Gj(d,b,f,e);d=Kp(d)|0}return}function Hj(b){b=b|0;var d=0,e=0;d=co(b)|0;while(1){if(!d)break;e=c[d+16>>2]|0;a[e+158>>0]=0;a[e+157>>0]=0;d=eo(b,d)|0}d=co(b)|0;while(1){if(!d)break;Pj(b,d);d=eo(b,d)|0}return}function Ij(a){a=a|0;var b=0,d=0,e=0,f=0;b=co(a)|0;while(1){if(!b)break;c[(c[b+16>>2]|0)+128>>2]=0;b=eo(a,b)|0}b=0;e=co(a)|0;while(1){if(!e)break;d=b+1|0;if(!(c[(c[e+16>>2]|0)+128>>2]|0)){Nj(a,e,d);b=d}e=eo(a,e)|0}a:do if((b|0)>1){f=Oj(a,80093)|0;d=1;e=co(a)|0;while(1){if(!e)break a;if((c[(c[e+16>>2]|0)+128>>2]|0)==(d|0)){an(a,f,e,0,1)|0;d=d+1|0}e=eo(a,e)|0}}while(0);return b|0}function Jj(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0;g=co(a)|0;while(1){if(!g)break;h=g+16|0;f=Pm(a,g)|0;while(1){if(!f)break;b=c[h>>2]|0;d=c[b+180>>2]|0;if(!d)b=ww((c[b+184>>2]<<2)+8|0)|0;else b=yw(d,(c[b+184>>2]<<2)+8|0)|0;d=c[h>>2]|0;c[d+180>>2]=b;d=d+184|0;e=c[d>>2]|0;c[d>>2]=e+1;c[b+(e<<2)>>2]=f;e=c[h>>2]|0;c[(c[e+180>>2]|0)+(c[e+184>>2]<<2)>>2]=0;e=f+-48|0;b=c[(c[((c[f>>2]&3|0)==2?f:e)+40>>2]|0)+16>>2]|0;d=c[b+172>>2]|0;if(!d)b=ww((c[b+176>>2]<<2)+8|0)|0;else b=yw(d,(c[b+176>>2]<<2)+8|0)|0;c[(c[(c[((c[f>>2]&3|0)==2?f:e)+40>>2]|0)+16>>2]|0)+172>>2]=b;i=c[(c[((c[f>>2]&3|0)==2?f:e)+40>>2]|0)+16>>2]|0;b=c[i+172>>2]|0;i=i+176|0;d=c[i>>2]|0;c[i>>2]=d+1;c[b+(d<<2)>>2]=f;e=c[(c[((c[f>>2]&3|0)==2?f:e)+40>>2]|0)+16>>2]|0;c[(c[e+172>>2]|0)+(c[e+176>>2]<<2)>>2]=0;f=Rm(a,f)|0}g=eo(a,g)|0}return}function Kj(a,d,f){a=a|0;d=d|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;n=a+16|0;o=c[n>>2]|0;b[o+236>>1]=32767;b[o+238>>1]=-1;a:do if((f|0)>1){h=vw((f<<2)+4|0)|0;g=f+1|0;f=1;while(1){if((f|0)==(g|0)){m=h;o=h;break a}c[h+(f<<2)>>2]=32767;f=f+1|0}}else{m=0;o=0}while(0);i=(m|0)==0;h=co(a)|0;while(1){if(!h)break;j=c[(c[(c[(Lj(h)|0)+16>>2]|0)+148>>2]|0)+16>>2]|0;k=c[j+232>>2]|0;l=c[h+16>>2]|0;c[l+232>>2]=k;f=c[n>>2]|0;g=f+238|0;if((k|0)>(b[g>>1]|0))b[g>>1]=k;f=f+236|0;if((k|0)<(b[f>>1]|0))b[f>>1]=k;if(!i){j=c[j+128>>2]|0;c[l+128>>2]=j;l=m+(j<<2)|0;j=c[l>>2]|0;c[l>>2]=(j|0)<(k|0)?j:k}h=eo(a,h)|0}j=(m|0)!=0;b:do if(!j){m=b[(c[n>>2]|0)+236>>1]|0;g=m<<16>>16;if(m<<16>>16>0){f=co(a)|0;while(1){if(!f)break;m=(c[f+16>>2]|0)+232|0;c[m>>2]=(c[m>>2]|0)-g;f=eo(a,f)|0}f=c[n>>2]|0;n=f+236|0;b[n>>1]=(e[n>>1]|0)-g;f=f+238|0;b[f>>1]=(e[f>>1]|0)-g;f=0}else f=0}else{f=co(a)|0;while(1){if(!f){f=1;break b}l=c[f+16>>2]|0;n=l+232|0;c[n>>2]=(c[n>>2]|0)-(c[m+(c[l+128>>2]<<2)>>2]|0);f=eo(a,f)|0}}while(0);Mj(a,f);i=co(d)|0;while(1){if(!i)break;g=i+16|0;f=c[g>>2]|0;h=c[f+172>>2]|0;if(h){_I(h);f=c[g>>2]|0}f=c[f+180>>2]|0;if(f|0)_I(f);i=eo(d,i)|0}_I(c[(c[(co(a)|0)+16>>2]|0)+112>>2]|0);f=co(a)|0;while(1){if(!f)break;c[(c[f+16>>2]|0)+112>>2]=0;f=eo(a,f)|0}if(j)_I(o);return}function Lj(a){a=a|0;var b=0,d=0,e=0;b=a+16|0;d=(c[b>>2]|0)+152|0;e=c[d>>2]|0;if(e){if((e|0)!=(a|0)){e=Lj(e)|0;c[(c[b>>2]|0)+152>>2]=e;return e|0}}else c[d>>2]=a;return a|0}function Mj(a,d){a=a|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;i=a+16|0;e=1;while(1){f=c[i>>2]|0;if((e|0)>(c[f+180>>2]|0))break;Mj(c[(c[f+184>>2]|0)+(e<<2)>>2]|0,0);e=e+1|0}if((d|0)!=0|(c[f+200>>2]|0)!=0){b[f+236>>1]=32767;b[f+238>>1]=-1;e=0;h=co(a)|0;while(1){if(!h)break;g=c[(c[h+16>>2]|0)+232>>2]|0;d=c[i>>2]|0;f=d+238|0;if((g|0)>(b[f>>1]|0))b[f>>1]=g;d=d+236|0;if((g|0)<(b[d>>1]|0)){b[d>>1]=g;e=h}h=eo(a,h)|0}c[(c[i>>2]|0)+264>>2]=e}return}function Nj(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=(c[b+16>>2]|0)+128|0;a:do if(!(c[e>>2]|0)){c[e>>2]=d;e=Pm(a,b)|0;while(1){if(!e)break;Nj(a,c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0,d);e=Rm(a,e)|0}e=Sm(a,b)|0;while(1){if(!e)break a;Nj(a,c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0,d);e=Tm(a,e)|0}}while(0);return}function Oj(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;f=no(a,b,1)|0;b=f+16|0;c[(c[b>>2]|0)+176>>2]=0;e=vw(20)|0;d=c[b>>2]|0;c[d+172>>2]=e;c[d+184>>2]=0;d=vw(20)|0;b=c[b>>2]|0;c[b+180>>2]=d;d=c[41933]|0;e=b+168|0;if(!d){c[e>>2]=0;c[(c[a+16>>2]|0)+192>>2]=f}else{c[e>>2]=d;c[(c[d+16>>2]|0)+164>>2]=f}c[41933]=f;c[b+164>>2]=0;return f|0}function Pj(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0;h=d+16|0;e=c[h>>2]|0;f=e+157|0;if(!(a[f>>0]|0)){a[f>>0]=1;a[e+158>>0]=1;d=Pm(b,d)|0;while(1){if(!d)break;e=Rm(b,d)|0;f=c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0;g=c[f+16>>2]|0;if(a[g+158>>0]|0){Qj(b,d);d=e;continue}if(a[g+157>>0]|0){d=e;continue}Pj(b,f);d=e}a[(c[h>>2]|0)+158>>0]=0}return}function Qj(a,b){a=a|0;b=b|0;var d=0,f=0,g=0;d=c[b>>2]&3;g=b+-48|0;f=b+48|0;d=an(a,c[((d|0)==2?b:g)+40>>2]|0,c[((d|0)==3?b:f)+40>>2]|0,0,0)|0;if(!d){d=c[b>>2]&3;d=an(a,c[((d|0)==2?b:g)+40>>2]|0,c[((d|0)==3?b:f)+40>>2]|0,0,1)|0}g=c[b+16>>2]|0;Rj(d,e[g+170>>1]|0,c[g+156>>2]|0);qo(a,b)|0;return}function Rj(a,d,f){a=a|0;d=d|0;f=f|0;var g=0,h=0;a=c[a+16>>2]|0;g=a+170|0;h=e[g>>1]|0;b[g>>1]=(h|0)>(d|0)?h:d;d=a+156|0;c[d>>2]=(c[d>>2]|0)+f;return}function Sj(a){a=a|0;return (JA(Im(a,80109)|0,0)|0)&255|0}function Tj(b){b=b|0;var d=0,e=0;d=c[42233]|0;if((((d|0)!=0?(e=Jm(b,d)|0,(e|0)!=0):0)?(a[e>>0]|0)!=0:0)?(IA(e)|0)<<24>>24==0:0)b=1;else b=0;return b|0}function Uj(a){a=a|0;var b=0,d=0;d=c[a>>2]&3;b=c[(c[(c[((d|0)==3?a:a+48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0;a=c[(c[(c[((d|0)==2?a:a+-48|0)+40>>2]|0)+16>>2]|0)+212>>2]|0;if((b|0)==(a|0))return 1;else{d=Xj(b,a)|0;return ((d|0)==(b|0)|(d|0)==(a|0))&1|0}return 0}function Vj(a,b,d,f){a=a|0;b=b|0;d=d|0;f=f|0;var g=0,h=0,i=0,j=0;j=l;l=l+16|0;h=j;g=an(a,b,d,0,0)|0;if(!g){g=an(a,d,b,0,0)|0;if(!g){g=an(a,b,d,0,1)|0;if(!g){b=Dn(b)|0;f=Dn(d)|0;c[h>>2]=b;c[h+4>>2]=f;_l(1,80126,h)|0}else i=4}else i=4}else i=4;if((i|0)==4){i=c[f+16>>2]|0;Rj(g,e[i+170>>1]|0,c[i+156>>2]|0)}l=j;return}function Wj(a,d,f,g){a=a|0;d=d|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,m=0,n=0;m=l;l=l+112|0;j=m;i=m+4|0;h=Sm(a,d)|0;while(1){if(!h){k=6;break}n=Pm(a,c[((c[h>>2]&3|0)==3?h:h+48|0)+40>>2]|0)|0;if(n|0?(c[((c[n>>2]&3|0)==2?n:n+-48|0)+40>>2]|0)==(f|0):0)break;h=Tm(a,h)|0}if((k|0)==6){n=c[41934]|0;c[41934]=n+1;c[j>>2]=n;pL(i,80117,j)|0;i=Oj(a,i)|0;n=an(a,i,d,0,1)|0;i=an(a,i,f,0,1)|0;f=c[g+16>>2]|0;k=f+156|0;n=(c[n+16>>2]|0)+156|0;c[n>>2]=(c[n>>2]|0)+((c[k>>2]|0)*1e3|0);n=c[i+16>>2]|0;j=n+170|0;b[j>>1]=b[(c[((e[j>>1]|0)>(e[f+170>>1]|0)?i:g)+16>>2]|0)+170>>1]|0;n=n+156|0;c[n>>2]=(c[n>>2]|0)+(c[k>>2]|0)}l=m;return}function Xj(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;a:while(1){e=a+16|0;while(1){if((a|0)==(b|0))break a;f=c[e>>2]|0;d=c[b+16>>2]|0;if((c[f+204>>2]|0)>=(c[d+204>>2]|0))break;b=c[d+200>>2]|0}a=c[f+200>>2]|0}return a|0}function Yj(a){a=a|0;return (co(a)|0)==0|0}function Zj(a,b){a=a|0;b=b|0;c[(c[a+16>>2]|0)+200>>2]=b;yj(b,a);xj(b,a);return}function _j(b){b=b|0;var c=0;b=Im(b,80018)|0;if((b|0)!=0?(a[b>>0]|0)!=0:0)if(xJ(b,80028)|0)if(xJ(b,80032)|0)if(xJ(b,80039)|0)if(xJ(b,80043)|0)if(!(xJ(b,80023)|0))b=1;else c=8;else b=5;else b=4;else b=3;else b=2;else c=8;if((c|0)==8)b=6;return b|0}function $j(a){a=a|0;var b=0,c=0;c=co(a)|0;a:do if(!c)b=0;else{b=Lj(c)|0;while(1){c=eo(a,c)|0;if(!c)break a;ak(b,c)|0}}while(0);return b|0}function ak(a,b){a=a|0;b=b|0;if(b){a=Lj(a)|0;c[(c[(Lj(b)|0)+16>>2]|0)+152>>2]=a}return a|0}function bk(a,b,d){a=a|0;b=b|0;d=d|0;No(b,80077,c[d>>2]|0,1)|0;return}function ck(a,b,d){a=a|0;b=b|0;d=d|0;No(b,80244,c[d+4>>2]|0,1)|0;return}function dk(a,b,d){a=a|0;b=b|0;d=d|0;No(b,80229,c[d+8>>2]|0,1)|0;return}function ek(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;p=l;l=l+240|0;m=p+120|0;n=p;c[42237]=ym(b,2,80259,0)|0;k=ym(b,2,80268,0)|0;c[42238]=k;a:do if((k|0)!=0|(c[42237]|0)!=0){k=co(b)|0;while(1){if(!k)break a;j=0;d=0;i=Um(b,k)|0;while(1){if(!i){f=0;break}e=c[i>>2]|0;g=e&3;f=c[((g|0)==2?i:i+-48|0)+40>>2]|0;h=i+48|0;b:do if((f|0)!=(c[((g|0)==3?i:h)+40>>2]|0)){g=c[42237]|0;do if((f|0)==(k|0)&(g|0)!=0){f=Jm(i,g)|0;if(!(a[f>>0]|0)){e=c[i>>2]|0;break}else{e=j;d=fk(m,d,k,i,f)|0;break b}}while(0);f=c[42238]|0;if((f|0?(c[((e&3|0)==3?i:h)+40>>2]|0)==(k|0):0)?(o=Jm(i,f)|0,(a[o>>0]|0)!=0):0)e=fk(n,j,k,i,o)|0;else e=j}else e=j;while(0);j=e;i=Vm(b,i,k)|0}while(1){if((f|0)>=(d|0)){e=0;break}e=m+(f*24|0)+4|0;if((c[m+(f*24|0)+8>>2]|0)>1)gk(k,e);e=c[e>>2]|0;if(e|0)_I(e);f=f+1|0}while(1){if((e|0)>=(j|0))break;d=n+(e*24|0)+4|0;if((c[n+(e*24|0)+8>>2]|0)>1)gk(k,d);d=c[d>>2]|0;if(d|0)_I(d);e=e+1|0}k=eo(b,k)|0}}while(0);l=p;return}function fk(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;p=l;l=l+16|0;k=p;m=p+12|0;n=p+8|0;o=0;while(1){if((o|0)>=(d|0)){j=10;break}j=c[b+(o*24|0)>>2]|0;if((a[j>>0]|0)==(a[g>>0]|0)?(xJ(j,g)|0)==0:0){j=5;break}o=o+1|0}do if((j|0)==5){k=b+(o*24|0)+4|0;j=c[k>>2]|0;if(!j){j=b+(o*24|0)+8|0;g=j;j=ww((c[j>>2]<<2)+8|0)|0}else{q=b+(o*24|0)+8|0;g=q;j=yw(j,(c[q>>2]<<2)+8|0)|0}c[k>>2]=j;r=c[g>>2]|0;q=r+1|0;c[g>>2]=q;c[j+(r<<2)>>2]=f;c[(c[k>>2]|0)+(q<<2)>>2]=0;j=13}else if((j|0)==10)if((d|0)>4){r=Dn(e)|0;c[k>>2]=5;c[k+4>>2]=r;_l(1,80277,k)|0;break}else{s=b+(o*24|0)+8|0;c[s>>2]=0;k=vw(8)|0;r=b+(o*24|0)+4|0;c[r>>2]=k;q=c[s>>2]|0;j=q+1|0;c[s>>2]=j;c[k+(q<<2)>>2]=f;c[(c[r>>2]|0)+(j<<2)>>2]=0;c[b+(o*24|0)>>2]=g;c[b+(o*24|0)+12>>2]=0;h[b+(o*24|0)+16>>3]=0.0;d=d+1|0;j=13;break}while(0);if((j|0)==13){At(f,m,n);j=(c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0)==(e|0)?c[n>>2]|0:c[m>>2]|0;if(j){r=b+(o*24|0)+12|0;s=c[r>>2]|0;c[r>>2]=s+1;if(!s)i=+Et(f,j);else i=0.0;h[b+(o*24|0)+16>>3]=i}}l=p;return d|0}function gk(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,i=0,j=0.0,k=0.0,m=0.0,n=0,o=0.0,p=0.0,q=0.0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0.0;x=l;l=l+80|0;t=x+68|0;u=x+64|0;r=x;v=d+4|0;n=c[v>>2]|0;w=b+16|0;i=0;p=0.0;q=0.0;while(1){if((i|0)>=(n|0))break;f=c[(c[d>>2]|0)+(i<<2)>>2]|0;g=c[f>>2]&3;e=c[((g|0)==2?f:f+-48|0)+40>>2]|0;if((e|0)==(b|0))e=c[((g|0)==3?f:f+48|0)+40>>2]|0;g=c[e+16>>2]|0;s=c[w>>2]|0;k=+h[g+16>>3]-+h[s+16>>3];m=+h[g+24>>3]-+h[s+24>>3];o=+QJ(k,m);i=i+1|0;p=k/o+p;q=m/o+q}j=+QJ(p,q);s=c[w>>2]|0;k=+h[s+16>>3];m=+h[s+24>>3];y=+h[s+96>>3]+ +h[s+88>>3];o=+h[s+80>>3];s=y>o+ +(c[(c[(ro(b)|0)+16>>2]|0)+252>>2]|0);e=c[w>>2]|0;if(s)o=+h[e+96>>3]+ +h[e+88>>3];else{o=+h[e+80>>3];o=o+ +(c[(c[(ro(b)|0)+16>>2]|0)+252>>2]|0);e=c[w>>2]|0}y=+h[e+16>>3]+o*(p/j);j=+h[e+24>>3]+o*(q/j);h[r>>3]=k;n=r+8|0;h[n>>3]=m;h[r+16>>3]=(y+k*2.0)*.3333333333333333;h[r+24>>3]=(j+m*2.0)*.3333333333333333;h[r+32>>3]=(y*2.0+k)*.3333333333333333;h[r+40>>3]=(j*2.0+m)*.3333333333333333;h[r+48>>3]=y;h[r+56>>3]=j;Gz(b,r);s=c[w>>2]|0;j=+h[r>>3]-+h[s+16>>3];k=+h[n>>3]-+h[s+24>>3];j=+(~~(j+(j>=0.0?.5:-.5))|0);k=+(~~(k+(k>=0.0?.5:-.5))|0);y=+h[s+88>>3];s=~~((y+j)*256.0/(+h[s+96>>3]+y))&255;r=0;while(1){if((r|0)>=(c[v>>2]|0))break;n=c[(c[d>>2]|0)+(r<<2)>>2]|0;At(n,t,u);while(1){if(!n)break;else g=n;while(1){if(!g){i=n;break}e=c[g>>2]|0;i=g+-48|0;if((c[((e&3|0)==2?g:i)+40>>2]|0)==(b|0)){e=c[g+16>>2]|0;h[e+56>>3]=j;h[e+64>>3]=k;h[e+72>>3]=0.0;c[e+80>>2]=0;a[e+84>>0]=1;a[e+85>>0]=0;a[e+86>>0]=0;a[e+87>>0]=0;a[e+88>>0]=s;a[e+89>>0]=0;c[e+92>>2]=0;e=c[g>>2]|0}f=g+16|0;if((c[((e&3|0)==3?g:g+48|0)+40>>2]|0)==(b|0)){e=c[f>>2]|0;h[e+16>>3]=j;h[e+24>>3]=k;h[e+32>>3]=0.0;c[e+40>>2]=0;a[e+44>>0]=1;a[e+45>>0]=0;a[e+46>>0]=0;a[e+47>>0]=0;a[e+48>>0]=s;a[e+49>>0]=0;c[e+52>>2]=0}if((a[(c[f>>2]|0)+112>>0]|0)!=1){g=0;continue}e=c[(c[((c[g>>2]&3|0)==2?g:i)+40>>2]|0)+16>>2]|0;if((a[e+156>>0]|0)!=1){g=0;continue}if((c[e+184>>2]|0)!=1){g=0;continue}g=c[c[e+180>>2]>>2]|0}while(1){if(!i)break;e=c[i>>2]|0;if((c[((e&3|0)==2?i:i+-48|0)+40>>2]|0)==(b|0)){e=c[i+16>>2]|0;h[e+56>>3]=j;h[e+64>>3]=k;h[e+72>>3]=0.0;c[e+80>>2]=0;a[e+84>>0]=1;a[e+85>>0]=0;a[e+86>>0]=0;a[e+87>>0]=0;a[e+88>>0]=s;a[e+89>>0]=0;c[e+92>>2]=0;e=c[i>>2]|0}f=i+48|0;g=i+16|0;if((c[((e&3|0)==3?i:f)+40>>2]|0)==(b|0)){e=c[g>>2]|0;h[e+16>>3]=j;h[e+24>>3]=k;h[e+32>>3]=0.0;c[e+40>>2]=0;a[e+44>>0]=1;a[e+45>>0]=0;a[e+46>>0]=0;a[e+47>>0]=0;a[e+48>>0]=s;a[e+49>>0]=0;c[e+52>>2]=0}if((a[(c[g>>2]|0)+112>>0]|0)!=1){i=0;continue}e=c[(c[((c[i>>2]&3|0)==3?i:f)+40>>2]|0)+16>>2]|0;if((a[e+156>>0]|0)!=1){i=0;continue}if((c[e+176>>2]|0)!=1){i=0;continue}i=c[c[e+172>>2]>>2]|0}n=c[(c[n+16>>2]|0)+172>>2]|0}r=r+1|0}a[(c[w>>2]|0)+145>>0]=1;l=x;return}function hk(a){a=a|0;var b=0,d=0,e=0;Xg(a);b=c[a>>2]&3;d=a+-48|0;e=a+48|0;b=Sg(c[((b|0)==2?a:d)+40>>2]|0,c[((b|0)==3?a:e)+40>>2]|0)|0;if(!b){b=c[a>>2]&3;ah(c[((b|0)==2?a:d)+40>>2]|0,c[((b|0)==3?a:e)+40>>2]|0,a)|0}else ih(a,b);return}function ik(b){b=b|0;var d=0,e=0,f=0,g=0;f=b+16|0;e=0;while(1){b=c[f>>2]|0;if((e|0)>=(c[b+220>>2]|0))break;d=c[(c[b+216>>2]|0)+(e<<2)>>2]|0;c[b+192>>2]=d;b=d;d=b;while(1){if(!d)break;g=c[d+16>>2]|0;a[g+157>>0]=0;d=c[g+164>>2]|0}while(1){if(!b)break;jk(b);b=c[(c[b+16>>2]|0)+164>>2]|0}e=e+1|0}return}function jk(b){b=b|0;var d=0,e=0,f=0,g=0;g=b+16|0;d=c[g>>2]|0;b=d+157|0;if(!(a[b>>0]|0)){a[b>>0]=1;a[d+158>>0]=1;b=0;while(1){f=c[(c[d+180>>2]|0)+(b<<2)>>2]|0;if(!f)break;d=c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0;e=c[d+16>>2]|0;if(!(a[e+158>>0]|0)){if(!(a[e+157>>0]|0))jk(d)}else{hk(f);b=b+-1|0}b=b+1|0;d=c[g>>2]|0}a[d+158>>0]=0}return}function kk(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;e=co(a)|0;b=0;while(1){if(!e)break;d=Pm(a,e)|0;while(1){if(!d)break;g=c[d>>2]&3;h=c[(c[(c[((g|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0;g=c[(c[(c[((g|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0;f=h-g|0;d=Rm(a,d)|0;b=((h|0)==(g|0)?0:((f|0)>-1?f:0-f|0)+-1|0)+b|0}e=eo(a,e)|0}return b|0}function lk(b){b=b|0;var d=0,e=0,f=0,g=0;e=co(b)|0;while(1){if(!e)break;g=c[e+16>>2]|0;f=c[g+176>>2]|0;g=g+172|0;d=0;while(1){if((d|0)>=(f|0))break;a[(c[(c[(c[g>>2]|0)+(d<<2)>>2]|0)+16>>2]|0)+112>>0]=0;d=d+1|0}e=eo(b,e)|0}return}function mk(a,b){a=a|0;b=b|0;var d=0,e=0.0,f=0.0,g=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;q=l;l=l+16|0;o=q;j=c[b+24>>2]|0;nk(a);k=(j|0)==-1;m=b+8|0;i=k^1;n=c[13918]|0;f=1797693134862315708145274.0e284;g=0;while(1){if(!(k|(g|0)<(j|0)))break;d=co(a)|0;while(1){if(!d)break;c[(c[d+16>>2]|0)+232>>2]=0;d=eo(a,d)|0}jj(a);e=+ok(a);h[m>>3]=e;if(0){h[o>>3]=e;zL(n,80329,o)|0;e=+h[m>>3]}if(!(!(e<=+h[b>>3])&(!(f<=e)|i))){p=9;break}pk(a);f=e;g=g+1|0}if((p|0)==9){p=b+20|0;c[b+16>>2]=c[p>>2];c[p>>2]=g}jj(a);qk(a);rk();h[m>>3]=+ok(a);l=q;return}function nk(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0,j=0,k=0,l=0.0,m=0.0,n=0;c[41938]=ww((mn(a)|0)*24|0)|0;c[41937]=0;b=co(a)|0;while(1){if(!b)break;c[(c[b+16>>2]|0)+120>>2]=-1;b=eo(a,b)|0}i=co(a)|0;while(1){if(!i)break;j=i+16|0;do if(!(c[(c[j>>2]|0)+216>>2]|0)){f=vw(4)|0;g=c[41938]|0;k=c[41937]|0;c[g+(k*24|0)>>2]=f;c[f>>2]=i;c[g+(k*24|0)+4>>2]=1;j=c[j>>2]|0;h[g+(k*24|0)+8>>3]=+h[j+32>>3];h[g+(k*24|0)+16>>3]=+h[j+40>>3];c[j+120>>2]=k;c[41937]=k+1}else{g=KA(i)|0;k=g+16|0;b=c[k>>2]|0;d=c[b+120>>2]|0;if((d|0)>-1){g=c[41938]|0;f=c[g+(d*24|0)>>2]|0;e=g+(d*24|0)+4|0;k=c[e>>2]|0;c[e>>2]=k+1;c[f+(k<<2)>>2]=i;k=c[j>>2]|0;j=g+(d*24|0)+8|0;h[j>>3]=+h[j>>3]+ +h[k+32>>3];j=g+(d*24|0)+16|0;l=+h[j>>3];m=+h[k+40>>3];h[j>>3]=l<m?m:l;c[k+120>>2]=d;break}d=vw(c[b+216>>2]<<2)|0;e=c[41938]|0;f=c[41937]|0;b=e+(f*24|0)|0;c[b>>2]=d;c[d>>2]=g;if((g|0)==(i|0)){h[e+(f*24|0)+8>>3]=+h[(c[k>>2]|0)+32>>3];d=1;b=i}else{c[(c[b>>2]|0)+4>>2]=i;n=c[k>>2]|0;b=c[j>>2]|0;h[e+(f*24|0)+8>>3]=+h[b+32>>3]+ +h[n+32>>3];d=2;b=+h[n+40>>3]<+h[b+40>>3]?i:g}c[e+(f*24|0)+4>>2]=d;h[e+(f*24|0)+16>>3]=+h[(c[b+16>>2]|0)+40>>3];c[(c[k>>2]|0)+120>>2]=f;c[(c[j>>2]|0)+120>>2]=f;c[41937]=f+1}while(0);i=eo(a,i)|0}return}function ok(a){a=a|0;var b=0.0,d=0.0,e=0,f=0,g=0,i=0.0,j=0.0;qk(a);g=c[41935]|0;e=c[a+16>>2]|0;b=+(O(c[e+252>>2]|0,g+-1|0)|0);f=c[41936]|0;e=e+248|0;a=0;d=0.0;while(1){if((a|0)>=(g|0))break;i=+h[f+(a*40|0)+24>>3]+ +(O(c[e>>2]|0,c[f+(a*40|0)+16>>2]|0)|0);j=+h[f+(a*40|0)+32>>3]+b;a=a+1|0;b=j;d=d<i?i:d}return +(d/b)}function pk(a){a=a|0;var b=0;c[41939]=vw((mn(a)|0)<<2)|0;b=0;while(1){if((b|0)>=(mn(a)|0))break;c[(c[41939]|0)+(b<<2)>>2]=b;b=b+1|0}qk(a);sk(a);tk(a);return}function qk(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,i=0,j=0.0,k=0,l=0;c[41935]=0;b=c[41936]|0;if(b|0){e=0;while(1){if((e|0)>=(c[41937]|0))break;d=c[b+(e*40|0)+4>>2]|0;if(d){_I(d);b=c[41936]|0}d=c[b+(e*40|0)+8>>2]|0;if(d){_I(d);b=c[41936]|0}e=e+1|0}_I(b)}c[41936]=vw((c[41937]|0)*40|0)|0;b=0;while(1){d=c[41937]|0;if((b|0)>=(d|0))break;k=vw(d<<2)|0;c[(c[41936]|0)+(b*40|0)+4>>2]=k;k=vw(c[41937]<<2)|0;l=c[41936]|0;c[l+(b*40|0)+8>>2]=k;c[l+(b*40|0)>>2]=b;c[l+(b*40|0)+12>>2]=0;c[l+(b*40|0)+16>>2]=0;l=l+(b*40|0)+24|0;c[l>>2]=0;c[l+4>>2]=0;c[l+8>>2]=0;c[l+12>>2]=0;b=b+1|0}e=co(a)|0;while(1){if(!e)break;d=Pm(a,e)|0;while(1){if(!d)break;i=c[d>>2]|0;f=d+-48|0;g=c[41936]|0;b=c[(c[(c[((i&3|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0;while(1){b=b+1|0;if((b|0)>=(c[(c[(c[((i&3|0)==2?d:f)+40>>2]|0)+16>>2]|0)+232>>2]|0))break;i=g+(b*40|0)+16|0;c[i>>2]=(c[i>>2]|0)+1;i=c[d>>2]|0}d=Rm(a,d)|0}e=eo(a,e)|0}i=c[41937]|0;k=c[41938]|0;l=c[41936]|0;d=a+16|0;b=0;while(1){if((b|0)>=(i|0))break;e=(c[c[k+(b*24|0)>>2]>>2]|0)+16|0;f=c[(c[e>>2]|0)+232>>2]|0;if((f|0)>=(c[41935]|0))c[41935]=f+1;g=l+(f*40|0)+24|0;j=+h[g>>3];h[g>>3]=j+ +h[k+(b*24|0)+8>>3]*72.0+(j>0.0?+(c[(c[d>>2]|0)+248>>2]|0):0.0);g=l+(f*40|0)+32|0;j=+h[k+(b*24|0)+16>>3]*72.0;if(+h[g>>3]<j)h[g>>3]=j;c[(c[l+(f*40|0)+4>>2]|0)+(c[l+(f*40|0)+12>>2]<<2)>>2]=k+(b*24|0);a=l+((c[(c[e>>2]|0)+232>>2]|0)*40|0)+12|0;c[a>>2]=(c[a>>2]|0)+1;b=b+1|0}return}function rk(){var a=0,b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;k=c[41935]|0;l=c[41936]|0;j=0;b=0;a=0;while(1){if((j|0)>=(k|0))break;d=l+(j*40|0)|0;i=c[l+(j*40|0)+12>>2]|0;e=(b|0)==0;a:do if(i)if(!e){if((c[d>>2]|0)>(a|0)){f=l+(j*40|0)+4|0;d=0;while(1){if((d|0)>=(i|0))break a;g=c[(c[f>>2]|0)+(d<<2)>>2]|0;h=c[g+4>>2]|0;e=0;while(1){if((e|0)>=(h|0))break;m=(c[(c[(c[g>>2]|0)+(e<<2)>>2]|0)+16>>2]|0)+232|0;c[m>>2]=(c[m>>2]|0)-b;e=e+1|0}d=d+1|0}}}else b=0;else{if(e)a=c[d>>2]|0;b=b+1|0}while(0);j=j+1|0}return}function sk(a){a=a|0;var b=0;b=c[41939]|0;rL(b,mn(a)|0,4,15);return}function tk(b){b=b|0;var d=0.0,e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0.0,n=0,o=0,p=0,q=0,r=0.0,s=0;j=c[41935]|0;k=c[41936]|0;g=c[41939]|0;i=0;while(1){if((i|0)>=(j|0)){e=0;d=0.0;break}e=c[g+(i<<2)>>2]|0;f=i+1|0;if((c[k+(e*40|0)+12>>2]|0)<2)i=f;else{l=4;break}}if((l|0)==4)if((j|0)>(f|0))d=+h[k+((c[g+(f<<2)>>2]|0)*40|0)+24>>3];else d=0.0;a:do if((i|0)!=(j|0)){rL(c[k+(e*40|0)+4>>2]|0,c[k+(e*40|0)+12>>2]|0,4,16);g=c[41936]|0;r=+h[g+(e*40|0)+24>>3];r=!(d<=r*.25)&!(d>=r*.75)?d:r*.5;s=c[g+(e*40|0)+12>>2]|0;q=b+16|0;n=0;o=0;d=0.0;f=0;p=0;while(1){if((p|0)>=(f+s|0))break a;do if(!(c[(c[g+(e*40|0)+8>>2]|0)+(p<<2)>>2]|0)){l=c[(c[g+(e*40|0)+4>>2]|0)+(p<<2)>>2]|0;b=l+8|0;m=+h[b>>3]*72.0+d+(d>0.0?+(c[(c[q>>2]|0)+248>>2]|0):0.0);i=(o|0)!=0;if(!(i&!(m<=r))){j=i?n:l;i=i?o:1;d=m;break}j=n+4|0;k=l+4|0;i=0;while(1){if((i|0)<(c[j>>2]|0))g=0;else break;while(1){if((g|0)>=(c[k>>2]|0))break;a[(c[(ah(c[(c[n>>2]|0)+(i<<2)>>2]|0,c[(c[l>>2]|0)+(g<<2)>>2]|0,0)|0)+16>>2]|0)+112>>0]=1;g=g+1|0}i=i+1|0}g=c[41936]|0;c[(c[g+(e*40|0)+8>>2]|0)+(p<<2)>>2]=1;j=g+(e*40|0)+12|0;c[j>>2]=(c[j>>2]|0)+-1;j=g+(e*40|0)+16|0;c[j>>2]=(c[j>>2]|0)+1;j=g+(e*40|0)+24|0;h[j>>3]=+h[b>>3]*-72.0-+(c[(c[q>>2]|0)+248>>2]|0)+ +h[j>>3];j=n;i=o}else{j=n;i=o;f=f+1|0}while(0);n=j;o=i;p=p+1|0}}while(0);return}function uk(a,b){a=a|0;b=b|0;a=vk(c[a>>2]|0)|0;b=vk(c[b>>2]|0)|0;return ((b|0)<(a|0)&1)-((b|0)>(a|0)&1)|0}function vk(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;f=a+4|0;d=0;b=0;while(1){if((d|0)>=(c[f>>2]|0))break;e=c[(c[a>>2]|0)+(d<<2)>>2]|0;g=ro(e)|0;e=Pm(g,e)|0;while(1){if(!e)break;e=Rm(g,e)|0;b=b+1|0}d=d+1|0}return b|0}function wk(a,b){a=a|0;b=b|0;var d=0.0,e=0.0,f=0;f=c[41936]|0;e=+h[f+((c[b>>2]|0)*40|0)+24>>3];d=+h[f+((c[a>>2]|0)*40|0)+24>>3];return (e>d&1)-(e<d&1)|0}function xk(a){a=a|0;var b=0;b=co(a)|0;while(1){if(!b)break;c[(c[b+16>>2]|0)+216>>2]=0;b=eo(a,b)|0}return}function yk(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;g=l;l=l+32|0;f=g+16|0;e=g+8|0;d=g+20|0;c[d>>2]=5;a=Im(a,84624)|0;if(a|0?(c[e>>2]=g,c[e+4>>2]=d,(cM(a,80344,e)|0)>=1):0)_l(0,80351,f)|0;c[b+24>>2]=0;c[b+32>>2]=0;l=g;return 0}function zk(b){b=b|0;var d=0,e=0;d=c[42233]|0;if((((d|0)!=0?(e=Jm(b,d)|0,(e|0)!=0):0)?(a[e>>0]|0)!=0:0)?(IA(e)|0)<<24>>24==0:0)b=1;else b=0;return b|0}function Ak(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0;Vk(a);b=co(a)|0;while(1){if(!b)break;d=Pm(a,b)|0;while(1){if(!d)break;do if(((c[(c[d+16>>2]|0)+172>>2]|0)==0?(zk(d)|0)==0:0)?(e=d+48|0,f=KA(c[((c[d>>2]&3|0)==3?d:e)+40>>2]|0)|0,g=d+-48|0,h=KA(c[((c[d>>2]&3|0)==2?d:g)+40>>2]|0)|0,(f|0)!=(h|0)):0){if((c[(c[f+16>>2]|0)+212>>2]|0)==0?(c[(c[h+16>>2]|0)+212>>2]|0)==0:0){i=Sg(f,h)|0;if(!i){ah(f,h,d)|0;break}else{ih(d,i);break}}i=c[d>>2]&3;Bk(a,c[((i|0)==3?d:e)+40>>2]|0,c[((i|0)==2?d:g)+40>>2]|0,d)}while(0);d=Rm(a,d)|0}b=eo(a,b)|0}return}function Bk(b,d,f,g){b=b|0;d=d|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0;j=c[g>>2]&3;h=c[(c[((j|0)==3?g:g+48|0)+40>>2]|0)+16>>2]|0;i=c[h+212>>2]|0;if(!i)k=0;else k=(c[h+232>>2]|0)-(c[(c[(c[(c[i+16>>2]|0)+264>>2]|0)+16>>2]|0)+232>>2]|0)|0;h=c[(c[((j|0)==2?g:g+-48|0)+40>>2]|0)+16>>2]|0;i=c[h+212>>2]|0;if(!i)h=0;else h=(c[(c[(c[(c[i+16>>2]|0)+264>>2]|0)+16>>2]|0)+232>>2]|0)-(c[h+232>>2]|0)|0;j=g+16|0;k=h+k+(e[(c[j>>2]|0)+170>>1]|0)|0;b=fh(b)|0;a[(c[b+16>>2]|0)+156>>0]=2;i=KA(d)|0;d=KA(f)|0;f=Mi(b,i,(k|0)>0?0.0:+(0-k|0),(c[(c[j>>2]|0)+156>>2]|0)*10|0)|0;c[(c[(Mi(b,d,+(((k|0)>0?k:0)|0),c[(c[j>>2]|0)+156>>2]|0)|0)+16>>2]|0)+116>>2]=g;c[(c[f+16>>2]|0)+116>>2]=g;return}function Ck(a,d,f,g){a=a|0;d=d|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0;j=c[d>>2]&3;i=(j|0)==3?d:d+48|0;j=(j|0)==2?d:d+-48|0;j=c[(c[(c[((c[(c[(c[i+40>>2]|0)+16>>2]|0)+232>>2]|0)>(c[(c[(c[j+40>>2]|0)+16>>2]|0)+232>>2]|0)?i:j)+40>>2]|0)+16>>2]|0)+232>>2]|0;i=d+16|0;d=(c[i>>2]|0)+172|0;if(c[d>>2]|0)ma(80440,80462,148,80471);c[d>>2]=f;h=(g|0)==0;do{d=c[i>>2]|0;if(h)g=c[f+16>>2]|0;else{g=c[f+16>>2]|0;k=g+168|0;b[k>>1]=(e[k>>1]|0)+(e[d+168>>1]|0)}k=g+154|0;b[k>>1]=(e[k>>1]|0)+(e[d+154>>1]|0);g=g+156|0;c[g>>2]=(c[g>>2]|0)+(c[d+156>>2]|0);d=f+-48|0;g=c[((c[f>>2]&3|0)==2?f:d)+40>>2]|0;if((c[(c[g+16>>2]|0)+232>>2]|0)==(j|0))break;Dk(a,g);f=c[c[(c[(c[((c[f>>2]&3|0)==2?f:d)+40>>2]|0)+16>>2]|0)+180>>2]>>2]|0}while((f|0)!=0);return}function Dk(a,b){a=a|0;b=b|0;var d=0.0;d=+((c[(c[a+16>>2]|0)+248>>2]|0)/2|0|0);b=c[b+16>>2]|0;a=b+88|0;h[a>>3]=+h[a>>3]+d;b=b+96|0;h[b>>3]=+h[b>>3]+d;return}function Ek(a,b){a=a|0;b=b|0;var d=0,e=0;if(((((a|0)!=0&(b|0)!=0?(e=c[a>>2]&3,d=c[b>>2]&3,(c[((e|0)==3?a:a+48|0)+40>>2]|0)==(c[((d|0)==3?b:b+48|0)+40>>2]|0)):0)?(c[((e|0)==2?a:a+-48|0)+40>>2]|0)==(c[((d|0)==2?b:b+-48|0)+40>>2]|0):0)?(c[(c[a+16>>2]|0)+96>>2]|0)==(c[(c[b+16>>2]|0)+96>>2]|0):0)?(hj(a,b)|0)!=0:0)a=1;else a=0;return a|0}function Fk(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0;r=b+16|0;d=c[r>>2]|0;c[d+192>>2]=0;c[d+232>>2]=0;Vk(b);d=1;while(1){e=c[r>>2]|0;if((d|0)>(c[e+180>>2]|0))break;Wk(b,c[(c[e+184>>2]|0)+(d<<2)>>2]|0);d=d+1|0}h=co(b)|0;while(1){if(!h)break;g=Pm(b,h)|0;while(1){if(!g)break;d=c[g>>2]|0;e=(c[(c[((d&3|0)==2?g:g+-48|0)+40>>2]|0)+16>>2]|0)+160|0;f=a[e>>0]|0;if(f<<24>>24<3){a[e>>0]=f+1<<24>>24;d=c[g>>2]|0}d=(c[(c[((d&3|0)==3?g:g+48|0)+40>>2]|0)+16>>2]|0)+160|0;e=a[d>>0]|0;if(e<<24>>24<3)a[d>>0]=e+1<<24>>24;g=Rm(b,g)|0}h=eo(b,h)|0}m=co(b)|0;while(1){if(!m)break;if((c[(c[m+16>>2]|0)+212>>2]|0)==0?(m|0)==(KA(m)|0):0){bh(b,m);l=(c[r>>2]|0)+232|0;c[l>>2]=(c[l>>2]|0)+1}d=0;l=Pm(b,m)|0;while(1){if(!l)break;k=l+16|0;h=c[k>>2]|0;a:do if(!(c[h+172>>2]|0)){if(Gk(l)|0){if(!(Ek(d,l)|0)){Hk(b,l);d=l;break}e=c[(c[d+16>>2]|0)+172>>2]|0;if(e|0){Ck(b,l,e,0);Yg(l);break}k=c[l>>2]&3;if((c[(c[(c[((k|0)==3?l:l+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)!=(c[(c[(c[((k|0)==2?l:l+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0))break;ih(l,d);Yg(l);break}if(d){i=c[l>>2]&3;e=l+48|0;f=c[((i|0)==3?l:e)+40>>2]|0;g=c[d>>2]&3;if((f|0)==(c[((g|0)==3?d:d+48|0)+40>>2]|0)?(n=c[((i|0)==2?l:l+-48|0)+40>>2]|0,(n|0)==(c[((g|0)==2?d:d+-48|0)+40>>2]|0)):0){if((c[(c[f+16>>2]|0)+232>>2]|0)==(c[(c[n+16>>2]|0)+232>>2]|0)){ih(l,d);Yg(l);break}if(((c[h+96>>2]|0)==0?(o=d+16|0,(c[(c[o>>2]|0)+96>>2]|0)==0):0)?(hj(l,d)|0)!=0:0)if(!(a[174076]|0)){Ck(b,l,c[(c[o>>2]|0)+172>>2]|0,1);Yg(l);break}else{a[(c[k>>2]|0)+112>>0]=6;break}else i=e}else i=e}else i=l+48|0;h=c[l>>2]&3;e=c[((h|0)==3?l:i)+40>>2]|0;j=l+-48|0;if((e|0)==(c[((h|0)==2?l:j)+40>>2]|0)){Yg(l);d=l;break}e=KA(e)|0;f=KA(c[((c[l>>2]&3|0)==2?l:j)+40>>2]|0)|0;h=c[l>>2]&3;if((c[((h|0)==3?l:i)+40>>2]|0)==(e|0)?(c[((h|0)==2?l:j)+40>>2]|0)==(f|0):0){g=c[(c[e+16>>2]|0)+232>>2]|0;h=c[(c[f+16>>2]|0)+232>>2]|0;if((g|0)==(h|0)){gh(b,l);d=l;break}if((h|0)>(g|0)){Ik(b,e,f,l);d=l;break}e=an(b,f,e,0,0)|0;do if(e|0?(p=c[e>>2]&3,q=c[((p|0)==2?e:e+-48|0)+40>>2]|0,(q|0)!=(c[((c[l>>2]&3|0)==2?l:j)+40>>2]|0)):0){f=e+16|0;if(!(c[(c[f>>2]|0)+172>>2]|0))Ik(b,c[((p|0)==3?e:e+48|0)+40>>2]|0,q,e);if((c[(c[k>>2]|0)+96>>2]|0)==0?(c[(c[f>>2]|0)+96>>2]|0)==0:0){if(!(hj(l,e)|0))break;if(!(a[174076]|0)){Yg(l);Ck(b,l,c[(c[f>>2]|0)+172>>2]|0,1);break a}else{a[(c[k>>2]|0)+112>>0]=6;a[(c[f>>2]|0)+153>>0]=1;break a}}}while(0);d=c[l>>2]&3;Ik(b,c[((d|0)==2?l:j)+40>>2]|0,c[((d|0)==3?l:i)+40>>2]|0,l);d=l}}else d=l;while(0);l=Rm(b,l)|0}m=eo(b,m)|0}if((Vf(b)|0)!=(b|0)){d=c[(c[r>>2]|0)+216>>2]|0;if(!d)d=ww(4)|0;else d=yw(d,4)|0;r=c[r>>2]|0;c[r+216>>2]=d;c[d>>2]=c[r+192>>2]}return}function Gk(b){b=b|0;var d=0;d=c[b>>2]&3;if((a[(c[(c[((d|0)==3?b:b+48|0)+40>>2]|0)+16>>2]|0)+159>>0]|0)==7)b=1;else b=(a[(c[(c[((d|0)==2?b:b+-48|0)+40>>2]|0)+16>>2]|0)+159>>0]|0)==7&1;return b|0}function Hk(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;f=Lk(c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0)|0;g=Lk(c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)|0;i=(c[(c[f+16>>2]|0)+232>>2]|0)>(c[(c[g+16>>2]|0)+232>>2]|0);e=i?f:g;f=i?g:f;g=f+16|0;i=e+16|0;a:do if((c[(c[g>>2]|0)+212>>2]|0)!=(c[(c[i>>2]|0)+212>>2]|0)){h=Sg(f,e)|0;if(h|0){Ck(b,d,h,1);break}if((c[(c[g>>2]|0)+232>>2]|0)!=(c[(c[i>>2]|0)+232>>2]|0)){Ik(b,f,e,d);e=(c[d+16>>2]|0)+172|0;while(1){e=c[e>>2]|0;if(!e)break a;f=e+-48|0;if((c[(c[(c[((c[e>>2]&3|0)==2?e:f)+40>>2]|0)+16>>2]|0)+232>>2]|0)>(c[(c[i>>2]|0)+232>>2]|0))break a;a[(c[e+16>>2]|0)+112>>0]=5;e=c[(c[(c[((c[e>>2]&3|0)==2?e:f)+40>>2]|0)+16>>2]|0)+180>>2]|0}}}while(0);return}function Ik(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;k=e+16|0;f=c[k>>2]|0;if(!(c[f+96>>2]|0))j=-1;else j=((c[(c[d+16>>2]|0)+232>>2]|0)+(c[(c[b+16>>2]|0)+232>>2]|0)|0)/2|0;if(c[f+172>>2]|0)ma(80483,80462,89,80508);i=d+16|0;h=c[(c[b+16>>2]|0)+232>>2]|0;while(1){g=h+1|0;f=c[(c[i>>2]|0)+232>>2]|0;if((h|0)>=(f|0))break;if((g|0)<(f|0)){if((g|0)==(j|0))f=Jk(a,e)|0;else f=Kk(a)|0;c[(c[f+16>>2]|0)+232>>2]=g}else f=d;vi(ah(b,f,e)|0);h=g;b=f}if(!(c[(c[k>>2]|0)+172>>2]|0))ma(80519,80462,103,80508);else return}function Jk(b,d){b=b|0;d=d|0;var e=0.0,f=0.0,g=0,i=0,j=0.0;i=d+16|0;g=c[(c[i>>2]|0)+96>>2]|0;e=+h[g+24>>3];f=+h[g+32>>3];g=fh(b)|0;d=g+16|0;c[(c[d>>2]|0)+104>>2]=c[(c[i>>2]|0)+96>>2];j=+(c[(c[(so(g)|0)+16>>2]|0)+248>>2]|0);h[(c[d>>2]|0)+88>>3]=j;if(!(a[(c[i>>2]|0)+114>>0]|0)){b=(c[(c[(so(b)|0)+16>>2]|0)+116>>2]&1|0)==0;i=c[d>>2]|0;h[i+80>>3]=b?f:e;h[i+96>>3]=b?e:f}return g|0}function Kk(a){a=a|0;var b=0;b=fh(a)|0;Dk(a,b);return b|0}function Lk(b){b=b|0;var d=0;d=c[b+16>>2]|0;if((a[d+159>>0]|0)==7)b=c[(c[(c[(c[d+212>>2]|0)+16>>2]|0)+268>>2]|0)+(c[d+232>>2]<<2)>>2]|0;else b=KA(b)|0;return b|0}function Mk(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;j=Vf(a)|0;h=co(a)|0;while(1){if(!h)break;b=Um(j,h)|0;i=0;while(1){if(!b)break;l=Vm(j,b,h)|0;if(Bo(a,b)|0){k=i;b=l;i=k;continue}k=(c[b>>2]&3|0)==2?b:b+-48|0;m=(Ek(i,k)|0)==0;e=c[k>>2]&3;b=c[((e|0)==3?k:k+48|0)+40>>2]|0;d=c[(c[b+16>>2]|0)+232>>2]|0;e=c[((e|0)==2?k:k+-48|0)+40>>2]|0;f=c[(c[e+16>>2]|0)+232>>2]|0;g=(d|0)==(f|0);if(!m){c[(c[k+16>>2]|0)+172>>2]=g?i:0;b=c[(c[i+16>>2]|0)+172>>2]|0;if(!b){m=i;b=l;i=m;continue}Ck(a,k,b,0);Zg(k);m=i;b=l;i=m;continue}if(!g)if((f|0)>(d|0)){Nk(b,e,k);b=l;i=k;continue}else{Nk(e,b,k);b=l;i=k;continue}b=Ug(b,e)|0;if(!b){gh(j,k);b=l;i=k;continue}if((k|0)==(b|0)){m=i;b=l;i=m;continue}Zg(k);if(c[(c[k+16>>2]|0)+172>>2]|0){m=i;b=l;i=m;continue}ih(k,b);m=i;b=l;i=m}h=eo(a,h)|0}return}function Nk(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;f=Ok(a)|0;e=Ok(b)|0;Pk(f,e,d,c[(c[d+16>>2]|0)+172>>2]|0,(f|0)==(a|0)&(e|0)==(b|0)?1:5);return}function Ok(b){b=b|0;var d=0,e=0,f=0;d=c[b+16>>2]|0;e=c[d+212>>2]|0;if((e|0)!=0?(f=c[e+16>>2]|0,(a[f+272>>0]|0)==0):0)b=c[(c[f+268>>2]|0)+(c[d+232>>2]<<2)>>2]|0;return b|0}function Pk(d,e,f,g,h){d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;var i=0,j=0,k=0,l=0,m=0,n=0,o=0;n=d+16|0;k=c[(c[n>>2]|0)+232>>2]|0;o=e+16|0;i=c[(c[o>>2]|0)+232>>2]|0;if((i|0)<=(k|0))ma(80544,80572,81,80582);m=c[g>>2]&3;if(!((c[((m|0)==3?g:g+48|0)+40>>2]|0)==(d|0)?(c[((m|0)==2?g:g+-48|0)+40>>2]|0)==(e|0):0))l=5;a:do if((l|0)==5){if((b[(c[g+16>>2]|0)+168>>1]|0)>1){c[(c[f+16>>2]|0)+172>>2]=0;if(((i-k|0)==1?(j=Sg(d,e)|0,j|0):0)?hj(f,j)|0:0){ih(f,j);if(a[(c[n>>2]|0)+156>>0]|0)break;if(a[(c[o>>2]|0)+156>>0]|0)break;Yg(f);break}m=h&255;h=d;l=c[(c[n>>2]|0)+232>>2]|0;while(1){i=c[(c[o>>2]|0)+232>>2]|0;if((l|0)>=(i|0))break a;if((l|0)<(i+-1|0)){i=Vf(d)|0;j=g+-48|0;i=Qk(i,c[((c[g>>2]&3|0)==2?g:j)+40>>2]|0)|0;k=g}else{i=e;j=g+-48|0;k=g}a[(c[(ah(h,i,f)|0)+16>>2]|0)+112>>0]=m;n=(c[g+16>>2]|0)+168|0;b[n>>1]=(b[n>>1]|0)+-1<<16>>16;h=i;l=l+1|0;g=c[c[(c[(c[((c[k>>2]&3|0)==2?g:j)+40>>2]|0)+16>>2]|0)+180>>2]>>2]|0}}do if((i-k|0)==1){g=Sg(d,e)|0;if(g|0?hj(f,g)|0:0){c[(c[f+16>>2]|0)+172>>2]=g;m=c[g+16>>2]|0;a[m+112>>0]=h;m=m+168|0;b[m>>1]=(b[m>>1]|0)+1<<16>>16;if(a[(c[n>>2]|0)+156>>0]|0)break;if(a[(c[o>>2]|0)+156>>0]|0)break;Yg(f);break}c[(c[f+16>>2]|0)+172>>2]=0;g=ah(d,e,f)|0;a[(c[g+16>>2]|0)+112>>0]=h}while(0);i=c[(c[o>>2]|0)+232>>2]|0;if((i-(c[(c[n>>2]|0)+232>>2]|0)|0)>1){if((c[((c[g>>2]&3|0)==3?g:g+48|0)+40>>2]|0)==(d|0))l=i;else{n=f+16|0;c[(c[n>>2]|0)+172>>2]=0;l=ah(d,c[((c[g>>2]&3|0)==2?g:g+-48|0)+40>>2]|0,f)|0;c[(c[n>>2]|0)+172>>2]=l;Xg(g);g=l;l=c[(c[o>>2]|0)+232>>2]|0}while(1){i=c[g>>2]&3;j=c[((i|0)==2?g:g+-48|0)+40>>2]|0;k=c[j+16>>2]|0;if((c[k+232>>2]|0)==(l|0))break;g=c[c[k+180>>2]>>2]|0}if((j|0)!=(e|0)){a[(c[(ah(c[((i|0)==3?g:g+48|0)+40>>2]|0,e,f)|0)+16>>2]|0)+112>>0]=h;Xg(g)}}}while(0);return}function Qk(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=b+16|0;b=c[d>>2]|0;e=c[b+232>>2]|0;Rk(a,e,c[b+236>>2]|0,2);b=fh(a)|0;d=c[d>>2]|0;f=c[b+16>>2]|0;h[f+88>>3]=+h[d+88>>3];h[f+96>>3]=+h[d+96>>3];c[f+232>>2]=c[d+232>>2];d=(c[d+236>>2]|0)+1|0;c[f+236>>2]=d;c[(c[(c[(c[a+16>>2]|0)+196>>2]|0)+(e<<6)+4>>2]|0)+(d<<2)>>2]=b;return b|0}function Rk(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0;h=a+16|0;f=c[(c[h>>2]|0)+196>>2]|0;i=c[f+(b<<6)+4>>2]|0;a:do if((e|0)<1){d=d-e|0;while(1){g=d+1|0;a=c[f+(b<<6)>>2]|0;if((g|0)>=(a|0))break;a=c[i+(g<<2)>>2]|0;f=d+e|0;c[(c[a+16>>2]|0)+236>>2]=f;c[i+(f<<2)>>2]=a;d=g;f=c[(c[h>>2]|0)+196>>2]|0}g=e+-1|0;d=g+a|0;while(1){if((d|0)>=(a|0))break a;c[i+(d<<2)>>2]=0;f=c[(c[h>>2]|0)+196>>2]|0;d=d+1|0;a=c[f+(b<<6)>>2]|0}}else{g=e+-1|0;a=c[f+(b<<6)>>2]|0;while(1){a=a+-1|0;if((a|0)<=(d|0))break;j=c[i+(a<<2)>>2]|0;f=g+a|0;c[(c[j+16>>2]|0)+236>>2]=f;c[i+(f<<2)>>2]=j}f=e+d|0;a=d;while(1){a=a+1|0;if((a|0)>=(f|0))break;c[i+(a<<2)>>2]=0}a=c[(c[h>>2]|0)+196>>2]|0;f=a;a=c[a+(b<<6)>>2]|0}while(0);c[f+(b<<6)>>2]=g+a;return}function Sk(a){a=a|0;var b=0;Fk(a);b=c[a+16>>2]|0;c[b+220>>2]=1;c[c[b+216>>2]>>2]=c[b+192>>2];si(a);Zh(a,0);Tk(a);Mk(a);Uk(a);return}function Tk(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;k=Vf(d)|0;l=d+16|0;f=c[l>>2]|0;j=b[f+236>>1]|0;e=j<<16>>16;m=k+16|0;if(j<<16>>16>0)a[(c[(c[m>>2]|0)+196>>2]|0)+(e+-1<<6)+49>>0]=0;j=e;while(1){if((j|0)>(b[f+238>>1]|0))break;i=c[(c[(c[(c[f+268>>2]|0)+(j<<2)>>2]|0)+16>>2]|0)+236>>2]|0;Rk(k,j,i,c[(c[f+196>>2]|0)+(j<<6)>>2]|0);g=0;h=i;while(1){f=c[l>>2]|0;e=c[f+196>>2]|0;if((g|0)>=(c[e+(j<<6)>>2]|0))break;e=c[(c[e+(j<<6)+4>>2]|0)+(g<<2)>>2]|0;c[(c[(c[(c[m>>2]|0)+196>>2]|0)+(j<<6)+4>>2]|0)+(h<<2)>>2]=e;f=c[e+16>>2]|0;c[f+236>>2]=h;if((a[f+156>>0]|0)==1)c[e+24>>2]=so(k)|0;dh(d,e);bh(k,e);f=(c[m>>2]|0)+232|0;c[f>>2]=(c[f>>2]|0)+1;g=g+1|0;h=h+1|0}h=c[(c[m>>2]|0)+196>>2]|0;c[e+(j<<6)+4>>2]=(c[h+(j<<6)+4>>2]|0)+(i<<2);a[h+(j<<6)+49>>0]=0;j=j+1|0}e=c[m>>2]|0;if((j|0)<(b[e+238>>1]|0))a[(c[e+196>>2]|0)+(j<<6)+49>>0]=0;a[f+272>>0]=1;return}function Uk(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=a+16|0;d=c[i>>2]|0;h=b[d+236>>1]|0;while(1){if((h|0)>(b[d+238>>1]|0))break;f=c[(c[d+268>>2]|0)+(h<<2)>>2]|0;g=f+16|0;while(1){d=c[g>>2]|0;e=c[c[d+180>>2]>>2]|0;if(!e)break;Xg(e)}while(1){d=c[c[d+172>>2]>>2]|0;if(!d)break;Xg(d);d=c[g>>2]|0}dh(Vf(a)|0,f);c[(c[(c[i>>2]|0)+268>>2]|0)+(h<<2)>>2]=0;h=h+1|0;d=c[i>>2]|0}return}function Vk(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;n=o;f=co(b)|0;while(1){if(!f)break;e=f+16|0;d=c[e>>2]|0;if((a[d+159>>0]|0)==7){MA(f);d=c[e>>2]|0}c[d+212>>2]=0;f=eo(b,f)|0}m=b+16|0;k=1;while(1){d=c[m>>2]|0;if((k|0)>(c[d+180>>2]|0))break;h=c[(c[d+184>>2]|0)+(k<<2)>>2]|0;i=h+16|0;d=co(h)|0;a:while(1){if(!d)break;j=eo(h,d)|0;e=d+16|0;if(a[(c[e>>2]|0)+159>>0]|0){f=Dn(d)|0;g=Dn(b)|0;c[n>>2]=f;c[n+4>>2]=g;_l(0,80591,n)|0;qo(h,d)|0;d=j;continue}NA(d,c[(c[i>>2]|0)+264>>2]|0);g=c[e>>2]|0;c[g+212>>2]=h;a[g+159>>0]=7;g=Pm(h,d)|0;while(1){if(!g){d=j;continue a}d=c[(c[g+16>>2]|0)+172>>2]|0;b:do if(d|0)do{e=d+-48|0;f=c[(c[((c[d>>2]&3|0)==2?d:e)+40>>2]|0)+16>>2]|0;if((a[f+156>>0]|0)!=1)break b;c[f+212>>2]=h;d=c[c[(c[(c[((c[d>>2]&3|0)==2?d:e)+40>>2]|0)+16>>2]|0)+180>>2]>>2]|0}while((d|0)!=0);while(0);g=Rm(h,g)|0}}k=k+1|0}l=o;return}function Wk(d,e){d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;k=e+16|0;g=vw((b[(c[k>>2]|0)+238>>1]<<2)+8|0)|0;f=c[k>>2]|0;c[f+268>>2]=g;g=0;h=b[f+236>>1]|0;while(1){if((h|0)>(b[f+238>>1]|0))break;f=fh(d)|0;c[(c[(c[k>>2]|0)+268>>2]|0)+(h<<2)>>2]=f;j=c[f+16>>2]|0;c[j+232>>2]=h;a[j+159>>0]=7;c[j+212>>2]=e;if(g|0){j=(c[(ah(g,f,0)|0)+16>>2]|0)+154|0;b[j>>1]=(b[j>>1]|0)*1e3}g=f;h=h+1|0;f=c[k>>2]|0}j=co(e)|0;while(1){f=c[k>>2]|0;if(!j)break;h=(c[(c[f+268>>2]|0)+(c[(c[j+16>>2]|0)+232>>2]<<2)>>2]|0)+16|0;f=(c[h>>2]|0)+216|0;c[f>>2]=(c[f>>2]|0)+1;f=Pm(e,j)|0;while(1){if(!f)break;i=c[f>>2]|0;d=f+-48|0;g=c[(c[(c[((i&3|0)==3?f:f+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0;while(1){if((g|0)>=(c[(c[(c[((i&3|0)==2?f:d)+40>>2]|0)+16>>2]|0)+232>>2]|0))break;i=(c[(c[c[(c[h>>2]|0)+180>>2]>>2]|0)+16>>2]|0)+168|0;b[i>>1]=(b[i>>1]|0)+1<<16>>16;g=g+1|0;i=c[f>>2]|0}f=Rm(e,f)|0}j=eo(e,j)|0}d=b[f+238>>1]|0;i=f+268|0;f=b[f+236>>1]|0;while(1){if((f|0)>(d|0))break;g=(c[(c[(c[i>>2]|0)+(f<<2)>>2]|0)+16>>2]|0)+216|0;h=c[g>>2]|0;if((h|0)>1)c[g>>2]=h+-1;f=f+1|0}return}function Xk(d,e,f,g){d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0;k=(c[(c[e+16>>2]|0)+212>>2]|0)+16|0;e=c[k>>2]|0;j=f+1|0;if((j|0)!=(a[e+273>>0]|0)){i=b[e+236>>1]|0;while(1){h=b[e+238>>1]|0;if((i|0)>(h<<16>>16|0))break;mi(d,c[(c[e+268>>2]|0)+(i<<2)>>2]|0);i=i+1|0;e=c[k>>2]|0}i=b[e+236>>1]|0;while(1){if((i|0)>(h<<16>>16|0))break;ni(g,c[(c[e+268>>2]|0)+(i<<2)>>2]|0,f);d=c[k>>2]|0;i=i+1|0;h=b[d+238>>1]|0;e=d}a[e+273>>0]=j}return}function Yk(b){b=b|0;var d=0,e=0,f=0,g=0,h=0;h=co(b)|0;while(1){if(!h)break;c[(c[h+16>>2]|0)+212>>2]=0;g=Pm(b,h)|0;while(1){if(!g)break;d=c[(c[g+16>>2]|0)+172>>2]|0;a:do if(d|0)do{e=d+-48|0;f=c[(c[((c[d>>2]&3|0)==2?d:e)+40>>2]|0)+16>>2]|0;if((a[f+156>>0]|0)!=1)break a;c[f+212>>2]=0;d=c[c[(c[(c[((c[d>>2]&3|0)==2?d:e)+40>>2]|0)+16>>2]|0)+180>>2]>>2]|0}while((d|0)!=0);while(0);g=Rm(b,g)|0}h=eo(b,h)|0}Zk(b);return}function Zk(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;e=b+16|0;d=1;while(1){f=c[e>>2]|0;if((d|0)>(c[f+180>>2]|0))break;Zk(c[(c[f+184>>2]|0)+(d<<2)>>2]|0);d=d+1|0}i=co(b)|0;while(1){if(!i)break;d=(c[i+16>>2]|0)+212|0;if(!(c[d>>2]|0))c[d>>2]=b;h=Pm(b,i)|0;while(1){if(!h)break;d=c[(c[h+16>>2]|0)+172>>2]|0;a:do if(d|0)do{e=c[d>>2]|0;g=d+-48|0;f=c[(c[((e&3|0)==2?d:g)+40>>2]|0)+16>>2]|0;if((a[f+156>>0]|0)!=1)break a;f=f+212|0;if(!(c[f>>2]|0)){c[f>>2]=b;e=c[d>>2]|0}d=c[c[(c[(c[((e&3|0)==2?d:g)+40>>2]|0)+16>>2]|0)+180>>2]>>2]|0}while((d|0)!=0);while(0);h=Rm(b,h)|0}i=eo(b,i)|0}return}function _k(a){a=a|0;var b=0,c=0,d=0;d=iB(a)|0;c=co(a)|0;while(1){if(!c)break;b=Pm(a,c)|0;while(1){if(!b)break;$k(b,d);b=Rm(a,b)|0}c=eo(a,c)|0}Kl(d)|0;return}function $k(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0;M=l;l=l+320|0;H=M+296|0;G=M+280|0;x=M+136|0;w=M+120|0;n=M+104|0;i=M+88|0;f=M+80|0;E=M+16|0;z=M;j=M+264|0;k=M+248|0;m=M+232|0;o=M+216|0;A=M+200|0;B=M+184|0;y=M+168|0;D=M+152|0;g=al(Im(a,80645)|0,b)|0;q=al(Im(a,80651)|0,b)|0;r=(q|0)!=0;b=(g|0)!=0;do if(b|r?(L=a+16|0,e=c[(c[L>>2]|0)+8>>2]|0,e|0):0){if((c[e+4>>2]|0)>1){K=Dn(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0)|0;L=Dn(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0)|0;c[f>>2]=K;c[f+4>>2]=L;_l(0,80657,f)|0;break}I=c[e>>2]|0;e=c[I+4>>2]|0;p=c[a>>2]&3;s=a+-48|0;t=c[((p|0)==2?a:s)+40>>2]|0;u=a+48|0;p=c[((p|0)==3?a:u)+40>>2]|0;J=ww(48)|0;v=I+12|0;c[J+12>>2]=c[v>>2];C=I+8|0;c[J+8>>2]=c[C>>2];do if(b){h=(c[g+16>>2]|0)+16|0;g=(c[t+16>>2]|0)+16|0;c[H>>2]=c[g>>2];c[H+4>>2]=c[g+4>>2];c[H+8>>2]=c[g+8>>2];c[H+12>>2]=c[g+12>>2];if(!(bl(H,h)|0)){o=Dn(c[((c[a>>2]&3|0)==3?a:u)+40>>2]|0)|0;F=Dn(c[((c[a>>2]&3|0)==2?a:s)+40>>2]|0)|0;K=Im(a,80645)|0;c[i>>2]=o;c[i+4>>2]=F;c[i+8>>2]=K;_l(0,80698,i)|0;K=26;break}b=c[I>>2]|0;c[H>>2]=c[b>>2];c[H+4>>2]=c[b+4>>2];c[H+8>>2]=c[b+8>>2];c[H+12>>2]=c[b+12>>2];if(bl(H,h)|0){F=(c[p+16>>2]|0)+16|0;c[H>>2]=c[F>>2];c[H+4>>2]=c[F+4>>2];c[H+8>>2]=c[F+8>>2];c[H+12>>2]=c[F+12>>2];if(bl(H,h)|0){o=Dn(c[((c[a>>2]&3|0)==3?a:u)+40>>2]|0)|0;F=Dn(c[((c[a>>2]&3|0)==2?a:s)+40>>2]|0)|0;K=Im(a,80645)|0;c[n>>2]=o;c[n+4>>2]=F;c[n+8>>2]=K;_l(0,80741,n)|0;K=26;break}if(!(c[C>>2]|0))ma(80783,80794,369,80805);o=I+16|0;c[G>>2]=c[b>>2];c[G+4>>2]=c[b+4>>2];c[G+8>>2]=c[b+8>>2];c[G+12>>2]=c[b+12>>2];c[H>>2]=c[o>>2];c[H+4>>2]=c[o+4>>2];c[H+8>>2]=c[o+8>>2];c[H+12>>2]=c[o+12>>2];cl(z,G,H,h);F=(c[I>>2]|0)+48|0;c[F>>2]=c[z>>2];c[F+4>>2]=c[z+4>>2];c[F+8>>2]=c[z+8>>2];c[F+12>>2]=c[z+12>>2];F=(c[I>>2]|0)+16|0;c[G>>2]=c[z>>2];c[G+4>>2]=c[z+4>>2];c[G+8>>2]=c[z+8>>2];c[G+12>>2]=c[z+12>>2];c[H>>2]=c[o>>2];c[H+4>>2]=c[o+4>>2];c[H+8>>2]=c[o+8>>2];c[H+12>>2]=c[o+12>>2];dl(j,G,H);c[F>>2]=c[j>>2];c[F+4>>2]=c[j+4>>2];c[F+8>>2]=c[j+8>>2];c[F+12>>2]=c[j+12>>2];F=c[I>>2]|0;b=F+16|0;c[G>>2]=c[b>>2];c[G+4>>2]=c[b+4>>2];c[G+8>>2]=c[b+8>>2];c[G+12>>2]=c[b+12>>2];c[H>>2]=c[o>>2];c[H+4>>2]=c[o+4>>2];c[H+8>>2]=c[o+8>>2];c[H+12>>2]=c[o+12>>2];dl(k,G,H);c[F>>2]=c[k>>2];c[F+4>>2]=c[k+4>>2];c[F+8>>2]=c[k+8>>2];c[F+12>>2]=c[k+12>>2];F=c[I>>2]|0;b=F+32|0;F=F+16|0;c[G>>2]=c[F>>2];c[G+4>>2]=c[F+4>>2];c[G+8>>2]=c[F+8>>2];c[G+12>>2]=c[F+12>>2];c[H>>2]=c[z>>2];c[H+4>>2]=c[z+4>>2];c[H+8>>2]=c[z+8>>2];c[H+12>>2]=c[z+12>>2];dl(m,G,H);c[b>>2]=c[m>>2];c[b+4>>2]=c[m+4>>2];c[b+8>>2]=c[m+8>>2];c[b+12>>2]=c[m+12>>2];b=c[v>>2]|0;if(!b){F=3;break}F=(Nt(a,c[I>>2]|0,0,0,J,b)|0)+3|0;break}g=e+-1|0;b=0;while(1){if((b|0)>=(g|0))break;if(el((c[I>>2]|0)+(b<<4)|0,h)|0)break;b=b+3|0}e=c[v>>2]|0;f=(e|0)!=0;if((b|0)==(g|0))if(f){F=J+32|0;m=I+32|0;n=(c[I>>2]|0)+(g<<4)|0;c[G>>2]=c[m>>2];c[G+4>>2]=c[m+4>>2];c[G+8>>2]=c[m+8>>2];c[G+12>>2]=c[m+12>>2];c[H>>2]=c[n>>2];c[H+4>>2]=c[n+4>>2];c[H+8>>2]=c[n+8>>2];c[H+12>>2]=c[n+12>>2];cl(o,G,H,h);c[F>>2]=c[o>>2];c[F+4>>2]=c[o+4>>2];c[F+8>>2]=c[o+8>>2];c[F+12>>2]=c[o+12>>2];F=g;break}else ma(80822,80794,387,80805);else{if(f)b=Nt(a,c[I>>2]|0,0,b,J,e)|0;F=b+3|0;break}}else K=26;while(0);if((K|0)==26){b=e+-1|0;if(!(c[v>>2]|0))F=b;else{F=J+32|0;o=I+32|0;c[F>>2]=c[o>>2];c[F+4>>2]=c[o+4>>2];c[F+8>>2]=c[o+8>>2];c[F+12>>2]=c[o+12>>2];F=b}}do if(r){f=(c[q+16>>2]|0)+16|0;r=(c[p+16>>2]|0)+16|0;c[H>>2]=c[r>>2];c[H+4>>2]=c[r+4>>2];c[H+8>>2]=c[r+8>>2];c[H+12>>2]=c[r+12>>2];if(!(bl(H,f)|0)){G=Dn(c[((c[a>>2]&3|0)==3?a:u)+40>>2]|0)|0;H=Dn(c[((c[a>>2]&3|0)==2?a:s)+40>>2]|0)|0;K=Im(a,80651)|0;c[w>>2]=G;c[w+4>>2]=H;c[w+8>>2]=K;_l(0,80833,w)|0;K=52;break}b=(c[I>>2]|0)+(F<<4)|0;c[H>>2]=c[b>>2];c[H+4>>2]=c[b+4>>2];c[H+8>>2]=c[b+8>>2];c[H+12>>2]=c[b+12>>2];if(bl(H,f)|0){E=(c[t+16>>2]|0)+16|0;c[H>>2]=c[E>>2];c[H+4>>2]=c[E+4>>2];c[H+8>>2]=c[E+8>>2];c[H+12>>2]=c[E+12>>2];if(bl(H,f)|0){G=Dn(c[((c[a>>2]&3|0)==3?a:u)+40>>2]|0)|0;H=Dn(c[((c[a>>2]&3|0)==2?a:s)+40>>2]|0)|0;K=Im(a,80651)|0;c[x>>2]=G;c[x+4>>2]=H;c[x+8>>2]=K;_l(0,80876,x)|0;K=52;break}if(!(c[v>>2]|0))ma(80822,80794,429,80805);x=J+32|0;c[G>>2]=c[b>>2];c[G+4>>2]=c[b+4>>2];c[G+8>>2]=c[b+8>>2];c[G+12>>2]=c[b+12>>2];c[H>>2]=c[x>>2];c[H+4>>2]=c[x+4>>2];c[H+8>>2]=c[x+8>>2];c[H+12>>2]=c[x+12>>2];cl(z,G,H,f);d=F+-3|0;E=(c[I>>2]|0)+(d<<4)|0;c[E>>2]=c[z>>2];c[E+4>>2]=c[z+4>>2];c[E+8>>2]=c[z+8>>2];c[E+12>>2]=c[z+12>>2];E=F+-1|0;b=(c[I>>2]|0)+(E<<4)|0;c[G>>2]=c[z>>2];c[G+4>>2]=c[z+4>>2];c[G+8>>2]=c[z+8>>2];c[G+12>>2]=c[z+12>>2];c[H>>2]=c[x>>2];c[H+4>>2]=c[x+4>>2];c[H+8>>2]=c[x+8>>2];c[H+12>>2]=c[x+12>>2];dl(A,G,H);c[b>>2]=c[A>>2];c[b+4>>2]=c[A+4>>2];c[b+8>>2]=c[A+8>>2];c[b+12>>2]=c[A+12>>2];b=c[I>>2]|0;D=b+(F<<4)|0;b=b+(E<<4)|0;c[G>>2]=c[b>>2];c[G+4>>2]=c[b+4>>2];c[G+8>>2]=c[b+8>>2];c[G+12>>2]=c[b+12>>2];c[H>>2]=c[x>>2];c[H+4>>2]=c[x+4>>2];c[H+8>>2]=c[x+8>>2];c[H+12>>2]=c[x+12>>2];dl(B,G,H);c[D>>2]=c[B>>2];c[D+4>>2]=c[B+4>>2];c[D+8>>2]=c[B+8>>2];c[D+12>>2]=c[B+12>>2];D=c[I>>2]|0;b=D+(F+-2<<4)|0;E=D+(E<<4)|0;c[G>>2]=c[E>>2];c[G+4>>2]=c[E+4>>2];c[G+8>>2]=c[E+8>>2];c[G+12>>2]=c[E+12>>2];c[H>>2]=c[z>>2];c[H+4>>2]=c[z+4>>2];c[H+8>>2]=c[z+8>>2];c[H+12>>2]=c[z+12>>2];dl(y,G,H);c[b>>2]=c[y>>2];c[b+4>>2]=c[y+4>>2];c[b+8>>2]=c[y+8>>2];c[b+12>>2]=c[y+12>>2];b=c[C>>2]|0;if(!b)break;d=Pt(a,c[I>>2]|0,d,d,J,b)|0;break}e=F;while(1){if((e|0)>0)b=0;else break;while(1){if((b|0)==4)break;B=E+(b<<4)|0;A=(c[I>>2]|0)+(e-b<<4)|0;c[B>>2]=c[A>>2];c[B+4>>2]=c[A+4>>2];c[B+8>>2]=c[A+8>>2];c[B+12>>2]=c[A+12>>2];b=b+1|0}if(el(E,f)|0){b=0;K=43;break}e=e+-3|0}a:do if((K|0)==43)while(1){K=0;if((b|0)==4)break a;K=(c[I>>2]|0)+(e-b<<4)|0;B=E+(b<<4)|0;c[K>>2]=c[B>>2];c[K+4>>2]=c[B+4>>2];c[K+8>>2]=c[B+8>>2];c[K+12>>2]=c[B+12>>2];b=b+1|0;K=43}while(0);if(e|0){d=e+-3|0;b=c[C>>2]|0;if(!b)break;d=Pt(a,c[I>>2]|0,d,F+-3|0,J,b)|0;break}if(!(c[C>>2]|0))ma(80783,80794,452,80805);else{d=J+16|0;E=I+16|0;a=c[I>>2]|0;c[G>>2]=c[E>>2];c[G+4>>2]=c[E+4>>2];c[G+8>>2]=c[E+8>>2];c[G+12>>2]=c[E+12>>2];c[H>>2]=c[a>>2];c[H+4>>2]=c[a+4>>2];c[H+8>>2]=c[a+8>>2];c[H+12>>2]=c[a+12>>2];cl(D,G,H,f);c[d>>2]=c[D>>2];c[d+4>>2]=c[D+4>>2];c[d+8>>2]=c[D+8>>2];c[d+12>>2]=c[D+12>>2];d=0;break}}else K=52;while(0);if((K|0)==52)if(!(c[C>>2]|0))d=0;else{d=J+16|0;K=I+16|0;c[d>>2]=c[K>>2];c[d+4>>2]=c[K+4>>2];c[d+8>>2]=c[K+8>>2];c[d+12>>2]=c[K+12>>2];d=0}b=F-d+1|0;e=J+4|0;c[e>>2]=b;c[J>>2]=ww(b<<4)|0;b=0;while(1){if((b|0)>=(c[e>>2]|0))break;K=(c[J>>2]|0)+(b<<4)|0;a=(c[I>>2]|0)+(d<<4)|0;c[K>>2]=c[a>>2];c[K+4>>2]=c[a+4>>2];c[K+8>>2]=c[a+8>>2];c[K+12>>2]=c[a+12>>2];d=d+1|0;b=b+1|0}_I(c[I>>2]|0);_I(I);c[c[(c[L>>2]|0)+8>>2]>>2]=J}while(0);l=M;return}function al(b,d){b=b|0;d=d|0;var e=0,f=0;f=l;l=l+16|0;e=f;if((b|0)!=0?(a[b>>0]|0)!=0:0){d=jB(d,b)|0;if(!d){c[e>>2]=b;_l(0,80996,e)|0;d=0}}else d=0;l=f;return d|0}function bl(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;d=+h[a>>3];if((+h[b>>3]<=d?d<=+h[b+16>>3]:0)?(c=+h[a+8>>3],+h[b+8>>3]<=c):0)a=c<=+h[b+24>>3]&1;else a=0;return a|0}function cl(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0.0,g=0.0,i=0,j=0.0,k=0.0,m=0.0,n=0,o=0.0,p=0.0,q=0.0,r=0.0,s=0.0,t=0.0,u=0,v=0,w=0,x=0,y=0.0,z=0,A=0,B=0,C=0;C=l;l=l+464|0;n=C+48|0;B=C+32|0;u=C+16|0;v=C;w=C+364|0;x=C+264|0;z=C+164|0;A=C+64|0;q=+h[b>>3];r=+h[b+8>>3];s=+h[d>>3];t=+h[d+8>>3];c[u>>2]=c[e>>2];c[u+4>>2]=c[e+4>>2];c[u+8>>2]=c[e+8>>2];c[u+12>>2]=c[e+12>>2];e=e+16|0;c[v>>2]=c[e>>2];c[v+4>>2]=c[e+4>>2];c[v+8>>2]=c[e+8>>2];c[v+12>>2]=c[e+12>>2];k=+h[u>>3];if((s<k?(f=r+ +(~~((k-q)*(r-t)/(q-s))|0),f>=+h[u+8>>3]):0)?f<=+h[v+8>>3]:0){o=f;p=k}else i=4;do if((i|0)==4){j=+h[v>>3];if(s>j){g=r+ +(~~((j-q)*(r-t)/(q-s))|0);f=+h[u+8>>3];if(g>=f?g<=+h[v+8>>3]:0){o=g;p=j;break}}else f=+h[u+8>>3];if(t<f?(m=q+ +(~~((f-r)*(q-s)/(r-t))|0),!(!(m>=k)|!(m<=j))):0){o=f;p=m;break}f=+h[v+8>>3];if(t>f?(y=q+ +(~~((f-r)*(q-s)/(r-t))|0),!(!(y>=k)|!(y<=j))):0){o=f;p=y;break};c[n>>2]=c[b>>2];c[n+4>>2]=c[b+4>>2];c[n+8>>2]=c[b+8>>2];c[n+12>>2]=c[b+12>>2];w=jl(n,w)|0;c[n>>2]=c[d>>2];c[n+4>>2]=c[d+4>>2];c[n+8>>2]=c[d+8>>2];c[n+12>>2]=c[d+12>>2];x=jl(n,x)|0;c[n>>2]=c[u>>2];c[n+4>>2]=c[u+4>>2];c[n+8>>2]=c[u+8>>2];c[n+12>>2]=c[u+12>>2];z=jl(n,z)|0;c[n>>2]=c[v>>2];c[n+4>>2]=c[v+4>>2];c[n+8>>2]=c[v+8>>2];c[n+12>>2]=c[v+12>>2];A=jl(n,A)|0;c[B>>2]=w;c[B+4>>2]=x;c[B+8>>2]=z;c[B+12>>2]=A;_l(1,80918,B)|0;ma(123205,80794,78,80970)}while(0);h[a>>3]=p;h[a+8>>3]=o;l=C;return}function dl(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0;d=(+h[c+8>>3]+ +h[b+8>>3])*.5;h[a>>3]=(+h[c>>3]+ +h[b>>3])*.5;h[a+8>>3]=d;return}function el(a,b){a=a|0;b=b|0;var d=0.0,e=0,f=0.0,g=0,i=0,j=0,k=0,m=0;m=l;l=l+80|0;j=m+16|0;k=m;e=0;while(1){if((e|0)==4)break;i=j+(e<<4)|0;g=a+(e<<4)|0;c[i>>2]=c[g>>2];c[i+4>>2]=c[g+4>>2];c[i+8>>2]=c[g+8>>2];c[i+12>>2]=c[g+12>>2];e=e+1|0}e=b+8|0;i=b+24|0;d=+fl(a,0.0,1.0,+h[b>>3],+h[e>>3],+h[i>>3]);if(d>=0.0&d<2.0)PA(k,j,3,d,a,0);else d=2.0;g=b+16|0;f=+fl(a,0.0,d>1.0?1.0:d,+h[g>>3],+h[e>>3],+h[i>>3]);if(f>=0.0&f<d){PA(k,j,3,f,a,0);d=f}f=+gl(a,0.0,d>1.0?1.0:d,+h[e>>3],+h[b>>3],+h[g>>3]);if(f>=0.0&f<d){PA(k,j,3,f,a,0);d=f}f=+gl(a,0.0,d>1.0?1.0:d,+h[i>>3],+h[b>>3],+h[g>>3]);if(f>=0.0&f<d){PA(k,j,3,f,a,0);d=f}l=m;return d<2.0|0}function fl(a,b,c,d,e,f){a=a|0;b=+b;c=+c;d=+d;e=+e;f=+f;var g=0.0,i=0,j=0,k=0,m=0;m=l;l=l+144|0;j=m+80|0;k=m+16|0;i=m;a:do if(!(b==c)){switch(il(a,d)|0){case 0:{b=-1.0;break a}case 1:{if(+B(+(+h[a+48>>3]-d))<=.005){b=+h[a+56>>3];b=!(b>=e)|!(b<=f)?-1.0:c;break a}break}default:{}}PA(i,a,3,.5,j,k);g=(c+b)*.5;b=+fl(j,b,g,d,e,f);if(!(b>=0.0))b=+fl(k,g,c,d,e,f)}while(0);l=m;return +b}function gl(a,b,c,d,e,f){a=a|0;b=+b;c=+c;d=+d;e=+e;f=+f;var g=0.0,i=0,j=0,k=0,m=0;m=l;l=l+144|0;j=m+80|0;k=m+16|0;i=m;a:do if(!(b==c)){switch(hl(a,d)|0){case 0:{b=-1.0;break a}case 1:{if(+B(+(+h[a+56>>3]-d))<=.005){b=+h[a+48>>3];b=!(b>=e)|!(b<=f)?-1.0:c;break a}break}default:{}}PA(i,a,3,.5,j,k);g=(c+b)*.5;b=+gl(j,b,g,d,e,f);if(!(b>=0.0))b=+gl(k,g,c,d,e,f)}while(0);l=m;return +b}function hl(a,b){a=a|0;b=+b;var c=0,d=0,e=0,f=0.0,g=0,i=0;f=+h[a+8>>3];e=f<b?-1:f>b&1;c=1;d=e;e=(e|0)==0&1;while(1){if((c|0)==4)break;f=+h[a+(c<<4)+8>>3];i=f<b?-1:f>b&1;g=e+((d|0)!=0&(i|0)!=(d|0)&1)|0;c=c+1|0;d=i;e=g}return e|0}function il(a,b){a=a|0;b=+b;var c=0,d=0,e=0,f=0.0,g=0,i=0;f=+h[a>>3];e=f<b?-1:f>b&1;c=1;d=e;e=(e|0)==0&1;while(1){if((c|0)==4)break;f=+h[a+(c<<4)>>3];i=f<b?-1:f>b&1;g=e+((d|0)!=0&(i|0)!=(d|0)&1)|0;c=c+1|0;d=i;e=g}return e|0}function jl(a,b){a=a|0;b=b|0;var c=0,d=0,e=0.0;c=l;l=l+16|0;d=c;e=+h[a+8>>3];h[d>>3]=+h[a>>3];h[d+8>>3]=e;pL(b,80984,d)|0;l=c;return b|0}function kl(a){a=a|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,q=0,r=0,s=0,t=0,u=0,v=0;v=l;l=l+16|0;s=v;u=4;t=ZI(40)|0;c[t>>2]=0;r=a+16|0;e=c[r>>2]|0;a:do if(((b[e+238>>1]|0)-(b[e+236>>1]|0)|0)>=2){m=1;d=e;e=c[e+196>>2]|0;b:while(1){n=m+1|0;if(!(c[e+(n<<6)>>2]|0)){q=15;break}else k=0;while(1){h=c[e+(m<<6)>>2]|0;if((k|0)>=(h|0)){m=n;continue b}j=c[(c[e+(m<<6)+4>>2]|0)+(k<<2)>>2]|0;o=0;d=_(18,j|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,u|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){d=z;break b}if(d<<24>>24){i=k;d=h;while(1){g=i+1|0;if((g|0)>=(d|0))break;o=0;d=$(17,j|0,c[(c[e+(m<<6)+4>>2]|0)+(g<<2)>>2]|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,t|0,u|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){d=z;break b}if(!(d<<24>>24))break;d=c[(c[r>>2]|0)+196>>2]|0;i=g;e=d;d=c[d+(m<<6)>>2]|0}if((g-k|0)>1){o=0;ka(6,a|0,m|0,k|0,i|0,1);d=o;o=0;if((d|0)!=0&(p|0)!=0){e=SN(c[d>>2]|0,t|0,u|0)|0;if(!e)Ua(d|0,p|0);z=p}else e=-1;if((e|0)==1){d=z;break b}}}e=c[r>>2]|0;k=k+1|0;d=e;e=c[e+196>>2]|0}}c:do if((q|0)==15){while(1){if((m|0)>0)k=0;else break;while(1){e=c[d+196>>2]|0;h=c[e+(m<<6)>>2]|0;if((k|0)>=(h|0))break;j=c[(c[e+(m<<6)+4>>2]|0)+(k<<2)>>2]|0;o=0;d=_(19,j|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,t|0,u|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){d=z;break c}if(d<<24>>24){i=k;d=h;while(1){g=i+1|0;if((g|0)>=(d|0))break;o=0;d=$(18,j|0,c[(c[e+(m<<6)+4>>2]|0)+(g<<2)>>2]|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,t|0,u|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){d=z;break c}if(!(d<<24>>24))break;d=c[(c[r>>2]|0)+196>>2]|0;i=g;e=d;d=c[d+(m<<6)>>2]|0}if((g-k|0)>1){o=0;ka(6,a|0,m|0,k|0,i|0,0);d=o;o=0;if((d|0)!=0&(p|0)!=0){e=SN(c[d>>2]|0,t|0,u|0)|0;if(!e)Ua(d|0,p|0);z=p}else e=-1;if((e|0)==1){d=z;break c}}}k=k+1|0;d=c[r>>2]|0}m=m+-1|0;q=15}t=RN(167760,1,t|0,u|0)|0;u=z;o=0;d=o;o=0;if((d|0)!=0&(p|0)!=0){e=SN(c[d>>2]|0,t|0,u|0)|0;if(!e)Ua(d|0,p|0);z=p}else e=-1;if((e|0)==1)d=z;else d=0}while(0);d:while(1){if(d){o=0;aa(11,3,81024,s|0)|0;d=o;o=0;if((d|0)!=0&(p|0)!=0){e=SN(c[d>>2]|0,t|0,u|0)|0;if(!e)Ua(d|0,p|0);z=p}else e=-1;if((e|0)==1){d=z;continue}else break}else f=1;while(1){d=c[r>>2]|0;if((f|0)>(c[d+180>>2]|0))break a;o=0;fa(85,c[(c[d+184>>2]|0)+(f<<2)>>2]|0);d=o;o=0;if((d|0)!=0&(p|0)!=0){e=SN(c[d>>2]|0,t|0,u|0)|0;if(!e)Ua(d|0,p|0);z=p}else e=-1;if((e|0)==1){d=z;continue d}f=f+1|0}}}while(0);_I(t|0);l=v;return}function ll(b){b=b|0;b=c[b+16>>2]|0;if(((a[b+156>>0]|0)==1?(c[b+176>>2]|0)==1:0)?(c[b+184>>2]|0)==1:0)b=(c[b+104>>2]|0)==0&1;else b=0;return b|0}function ml(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+80|0;h=i+40|0;g=i;e=c[c[(c[a+16>>2]|0)+172>>2]>>2]|0;a=c[c[(c[b+16>>2]|0)+172>>2]>>2]|0;if(((ll(b)|0)<<24>>24!=0?(c[((c[e>>2]&3|0)==3?e:e+48|0)+40>>2]|0)==(c[((c[a>>2]&3|0)==3?a:a+48|0)+40>>2]|0):0)?(sl(e,a)|0)<<24>>24!=0:0){d=(c[a+16>>2]|0)+16|0;f=g;a=(c[e+16>>2]|0)+16|0;b=f+40|0;do{c[f>>2]=c[a>>2];f=f+4|0;a=a+4|0}while((f|0)<(b|0));f=h;a=d;b=f+40|0;do{c[f>>2]=c[a>>2];f=f+4|0;a=a+4|0}while((f|0)<(b|0));a=(Wf(g,h)|0)==0&1}else a=0;l=i;return a|0}function nl(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;t=a+16|0;q=c[(c[(c[(c[t>>2]|0)+196>>2]|0)+(b<<6)+4>>2]|0)+(d<<2)>>2]|0;p=d+1|0;m=(f|0)==1;n=q+16|0;l=p;while(1){if((l|0)>(e|0)){g=e;s=p;break}o=c[(c[(c[(c[t>>2]|0)+196>>2]|0)+(b<<6)+4>>2]|0)+(l<<2)>>2]|0;k=o+16|0;a:do if(m)while(1){d=c[k>>2]|0;j=c[c[d+180>>2]>>2]|0;if(!j)break a;h=c[(c[n>>2]|0)+180>>2]|0;i=j+-48|0;f=0;while(1){d=c[h+(f<<2)>>2]|0;if(!d){r=8;break}if((c[((c[d>>2]&3|0)==2?d:d+-48|0)+40>>2]|0)==(c[((c[j>>2]&3|0)==2?j:i)+40>>2]|0))break;else f=f+1|0}if((r|0)==8){r=0;d=ah(q,c[((c[j>>2]&3|0)==2?j:i)+40>>2]|0,j)|0}while(1){f=c[c[(c[k>>2]|0)+172>>2]>>2]|0;if(!f)break;ih(f,d);Xg(f)}Xg(j)}else while(1){d=c[k>>2]|0;j=c[c[d+172>>2]>>2]|0;if(!j)break a;h=c[(c[n>>2]|0)+172>>2]|0;i=j+48|0;f=0;while(1){d=c[h+(f<<2)>>2]|0;if(!d){r=17;break}if((c[((c[d>>2]&3|0)==3?d:d+48|0)+40>>2]|0)==(c[((c[j>>2]&3|0)==3?j:i)+40>>2]|0))break;else f=f+1|0}if((r|0)==17){r=0;d=ah(c[((c[j>>2]&3|0)==3?j:i)+40>>2]|0,q,j)|0}while(1){f=c[c[(c[k>>2]|0)+180>>2]>>2]|0;if(!f)break;ih(f,d);Xg(f)}Xg(j)}while(0);if((c[d+176>>2]|0)!=(0-(c[d+184>>2]|0)|0)){r=23;break}dh(a,o);l=l+1|0}if((r|0)==23)ma(81160,81204,115,81211);while(1){g=g+1|0;d=c[(c[t>>2]|0)+196>>2]|0;f=d+(b<<6)|0;if((g|0)>=(c[f>>2]|0))break;e=c[d+(b<<6)+4>>2]|0;r=c[e+(g<<2)>>2]|0;c[e+(s<<2)>>2]=r;c[(c[r+16>>2]|0)+236>>2]=s;s=s+1|0}c[f>>2]=s;c[(c[d+(b<<6)+4>>2]|0)+(s<<2)>>2]=0;return}function ol(b){b=b|0;b=c[b+16>>2]|0;if(((a[b+156>>0]|0)==1?(c[b+184>>2]|0)==1:0)?(c[b+176>>2]|0)==1:0)b=(c[b+104>>2]|0)==0&1;else b=0;return b|0}function pl(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+80|0;h=i+40|0;g=i;e=c[c[(c[a+16>>2]|0)+180>>2]>>2]|0;a=c[c[(c[b+16>>2]|0)+180>>2]>>2]|0;if(((ol(b)|0)<<24>>24!=0?(c[((c[e>>2]&3|0)==2?e:e+-48|0)+40>>2]|0)==(c[((c[a>>2]&3|0)==2?a:a+-48|0)+40>>2]|0):0)?(sl(e,a)|0)<<24>>24!=0:0){d=(c[a+16>>2]|0)+56|0;f=g;a=(c[e+16>>2]|0)+56|0;b=f+40|0;do{c[f>>2]=c[a>>2];f=f+4|0;a=a+4|0}while((f|0)<(b|0));f=h;a=d;b=f+40|0;do{c[f>>2]=c[a>>2];f=f+4|0;a=a+4|0}while((f|0)<(b|0));a=(Wf(g,h)|0)==0&1}else a=0;l=i;return a|0}function ql(d){d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0;r=l;l=l+32|0;p=r+16|0;o=r;m=d+16|0;f=c[m>>2]|0;e=b[f+236>>1]|0;while(1){if((e|0)>(b[f+238>>1]|0))break;c[(c[f+268>>2]|0)+(e<<2)>>2]=0;e=e+1|0;f=c[m>>2]|0}ij(d);j=co(d)|0;while(1){if(!j)break;rl(d,j);i=Pm(d,j)|0;while(1){if(!i)break;else f=i;while(1){e=c[(c[f+16>>2]|0)+172>>2]|0;if(!e)break;else f=e}h=i+-48|0;while(1){e=f+-48|0;g=c[((c[f>>2]&3|0)==2?f:e)+40>>2]|0;if((c[(c[g+16>>2]|0)+232>>2]|0)>=(c[(c[(c[((c[i>>2]&3|0)==2?i:h)+40>>2]|0)+16>>2]|0)+232>>2]|0))break;rl(d,g);f=c[c[(c[(c[((c[f>>2]&3|0)==2?f:e)+40>>2]|0)+16>>2]|0)+180>>2]>>2]|0}i=Rm(d,i)|0}j=eo(d,j)|0}e=c[m>>2]|0;i=b[e+236>>1]|0;while(1){if((i|0)>(b[e+238>>1]|0)){k=1;n=e;break}e=c[(c[e+268>>2]|0)+(i<<2)>>2]|0;j=c[(c[(c[(Vf(d)|0)+16>>2]|0)+196>>2]|0)+(i<<6)+4>>2]|0;f=e+16|0;if((c[j+(c[(c[f>>2]|0)+236>>2]<<2)>>2]|0)!=(e|0)){q=17;break}h=c[(c[(c[(Vf(d)|0)+16>>2]|0)+196>>2]|0)+(i<<6)+4>>2]|0;e=c[m>>2]|0;f=c[e+196>>2]|0;c[f+(i<<6)+4>>2]=h+(c[(c[(c[(c[e+268>>2]|0)+(i<<2)>>2]|0)+16>>2]|0)+236>>2]<<2);e=-1;h=0;a:while(1){if((h|0)>=(c[f+(i<<6)>>2]|0))break;f=c[(c[f+(i<<6)+4>>2]|0)+(h<<2)>>2]|0;if(!f)break;g=c[f+16>>2]|0;b:do if(!(a[g+156>>0]|0))if(!(Bo(d,f)|0))break a;else e=h;else{f=c[c[g+172>>2]>>2]|0;while(1){if(!f)break b;g=c[(c[f+16>>2]|0)+116>>2]|0;if(!g)break;else f=g}if(Bo(d,c[((c[f>>2]&3|0)==3?f:f+48|0)+40>>2]|0)|0){j=(Bo(d,c[((c[f>>2]&3|0)==2?f:f+-48|0)+40>>2]|0)|0)==0;e=j?e:h}}while(0);h=h+1|0;f=c[(c[m>>2]|0)+196>>2]|0}if((e|0)==-1){c[p>>2]=Dn(d)|0;c[p+4>>2]=i;_l(0,81124,p)|0}j=c[m>>2]|0;c[(c[j+196>>2]|0)+(i<<6)>>2]=e+1;i=i+1|0;e=j}if((q|0)==17){p=Dn(e)|0;q=c[(c[f>>2]|0)+236>>2]|0;c[o>>2]=p;c[o+4>>2]=q;c[o+8>>2]=i;_l(1,81066,o)|0;Ua(167760,1)}while(1){if((k|0)>(c[n+180>>2]|0))break;ql(c[(c[n+184>>2]|0)+(k<<2)>>2]|0);k=k+1|0;n=c[m>>2]|0}l=r;return}function rl(a,b){a=a|0;b=b|0;var d=0,e=0;d=c[b+16>>2]|0;a=(c[(c[a+16>>2]|0)+268>>2]|0)+(c[d+232>>2]<<2)|0;e=c[a>>2]|0;if(!((e|0)!=0?(c[(c[e+16>>2]|0)+236>>2]|0)<=(c[d+236>>2]|0):0))c[a>>2]=b;return}function sl(b,d){b=b|0;d=d|0;var e=0,f=0;while(1){f=c[b+16>>2]|0;if(!(a[f+112>>0]|0))break;b=c[f+116>>2]|0}while(1){e=c[d+16>>2]|0;if(!(a[e+112>>0]|0))break;d=c[e+116>>2]|0}if((a[f+153>>0]|0)==0?(a[e+153>>0]|0)==0:0){f=c[d>>2]&3;e=c[b>>2]&3;b=(O((c[(c[(c[((e|0)==3?b:b+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((e|0)==2?b:b+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)|0,(c[(c[(c[((f|0)==3?d:d+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)-(c[(c[(c[((f|0)==2?d:d+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)|0)|0)>0&1}else b=0;return b|0}function tl(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+544|0;j=k+528|0;ul(j,k+512|0,k);e=(a[173894]|0)+1<<24>>24;a[173894]=e<<24>>24==0?1:e;e=c[b+16>>2]|0;c[e+220>>2]=0;c[e+232>>2]=0;e=(d|0)>0;d=co(b)|0;while(1){if(!d)break;if(e?(h=c[d+16>>2]|0,i=c[h+212>>2]|0,(i|0)!=0):0){g=c[(c[(c[i+16>>2]|0)+268>>2]|0)+(c[h+232>>2]<<2)>>2]|0;f=7}else f=6;if((f|0)==6?(f=0,(d|0)==(KA(d)|0)):0){g=d;f=7}if((f|0)==7?(0,(a[(c[g+16>>2]|0)+157>>0]|0)!=(a[173894]|0)):0){vl(b);wl(j,b,g);xl(b)}d=eo(b,d)|0}yl(j);l=k;return}function ul(a,b,d){a=a|0;b=b|0;d=d|0;c[b>>2]=d;c[b+4>>2]=d+512;c[b+12>>2]=0;c[b+8>>2]=0;c[a>>2]=b;c[a+4>>2]=b;c[a+8>>2]=d;return}function vl(a){a=a|0;c[(c[a+16>>2]|0)+192>>2]=0;c[41979]=0;return}function wl(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0;q=l;l=l+32|0;p=q;zl(b,e);k=p+8|0;m=p+16|0;n=p+24|0;a:while(1){o=Al(b)|0;if(!o)break;e=o+16|0;if((a[(c[e>>2]|0)+157>>0]|0)==(a[173894]|0))continue;Bl(d,o);h=c[e>>2]|0;g=h+180|0;j=c[g+4>>2]|0;i=p;c[i>>2]=c[g>>2];c[i+4>>2]=j;i=h+172|0;j=c[i+4>>2]|0;g=k;c[g>>2]=c[i>>2];c[g+4>>2]=j;g=h+188|0;j=c[g+4>>2]|0;i=m;c[i>>2]=c[g>>2];c[i+4>>2]=j;h=h+196|0;i=c[h+4>>2]|0;j=n;c[j>>2]=c[h>>2];c[j+4>>2]=i;j=3;while(1){if((j|0)<=-1)continue a;e=c[p+(j<<3)>>2]|0;b:do if(e|0){i=(c[p+(j<<3)+4>>2]|0)+-1|0;h=e+(i<<2)|0;while(1){if((i|0)<=-1)break b;f=c[h>>2]|0;g=c[f>>2]&3;e=c[((g|0)==2?f:f+-48|0)+40>>2]|0;if((e|0)==(o|0))e=c[((g|0)==3?f:f+48|0)+40>>2]|0;if((a[(c[e+16>>2]|0)+157>>0]|0)!=(a[173894]|0)?(e|0)==(KA(e)|0):0)zl(b,e);h=h+-4|0;i=i+-1|0}}while(0);j=j+-1|0}}l=q;return}function xl(a){a=a|0;var b=0,d=0,e=0,f=0;d=a+16|0;b=c[d>>2]|0;f=b+220|0;e=c[f>>2]|0;a=e+1|0;c[f>>2]=a;b=c[b+216>>2]|0;if(!b)a=ww(a<<2)|0;else a=yw(b,a<<2)|0;f=c[d>>2]|0;c[f+216>>2]=a;c[a+(e<<2)>>2]=c[f+192>>2];return}function yl(a){a=a|0;var b=0;a=c[(c[a>>2]|0)+12>>2]|0;while(1){if(!a)break;b=c[a+12>>2]|0;_I(c[a>>2]|0);_I(a);a=b}return}function zl(b,e){b=b|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+16|0;h=k+8|0;g=k;j=b+8|0;f=c[j>>2]|0;i=b+4|0;b=c[i>>2]|0;if((f|0)==(c[b+4>>2]|0)){f=c[b+12>>2]|0;if(!f){f=vw(16)|0;if(!f)_l(1,83988,g)|0;c[f+8>>2]=c[i>>2];c[f+12>>2]=0;b=vw(4e6)|0;c[f>>2]=b;if(!b){_l(1,81224,h)|0;b=c[f>>2]|0}c[f+4>>2]=b+4e6;c[(c[i>>2]|0)+12>>2]=f}c[i>>2]=f;f=c[f>>2]|0;c[j>>2]=f}a[(c[e+16>>2]|0)+157>>0]=(d[173894]|0)+1;c[j>>2]=f+4;c[f>>2]=e;l=k;return}function Al(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;f=a+8|0;b=c[f>>2]|0;d=a+4|0;e=c[d>>2]|0;if((b|0)==(c[e>>2]|0))if((e|0)==(c[a>>2]|0))b=0;else{b=c[e+8>>2]|0;c[d>>2]=b;b=c[b+4>>2]|0;c[f>>2]=b;g=4}else g=4;if((g|0)==4){b=b+-4|0;c[f>>2]=b;b=c[b>>2]|0}return b|0}function Bl(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;f=c[b+16>>2]|0;g=f+232|0;c[g>>2]=(c[g>>2]|0)+1;g=c[d+16>>2]|0;a[g+157>>0]=a[173894]|0;b=c[41979]|0;e=g+168|0;if(!b){c[e>>2]=0;c[f+192>>2]=d}else{c[e>>2]=b;c[(c[b+16>>2]|0)+164>>2]=d}c[41979]=d;c[g+164>>2]=0;return}function Cl(b){b=b|0;var d=0,e=0,f=0,g=0,i=0,j=0,k=0,l=0,m=0,n=0.0,o=0.0;m=b+16|0;d=(c[m>>2]|0)+192|0;while(1){d=c[d>>2]|0;if(!d)break;g=d+16|0;d=c[g>>2]|0;e=c[d+188>>2]|0;a:do if(!e)f=0;else{f=0;while(1){e=c[e+(f<<2)>>2]|0;if(!e){f=0;break a}Dl(e);d=c[g>>2]|0;f=f+1|0;e=c[d+188>>2]|0}}while(0);while(1){if((f|0)>=(c[d+208>>2]|0))break;e=c[(c[d+204>>2]|0)+(f<<2)>>2]|0;l=c[e>>2]&3;if((c[(c[(c[((l|0)==2?e:e+-48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)==(c[(c[(c[((l|0)==3?e:e+48|0)+40>>2]|0)+16>>2]|0)+232>>2]|0)){Dl(e);d=c[g>>2]|0}f=f+1|0}d=d+164|0}l=c[m>>2]|0;d=c[l+196>>2]|0;if(!((c[d+56>>2]|0)==0?(c[l+180>>2]|0)<=0:0))i=13;b:do if((i|0)==13){i=c[d+4>>2]|0;g=0;c:while(1){d=c[i+(g<<2)>>2]|0;if(!d)break b;e=c[(c[d+16>>2]|0)+196>>2]|0;d=0;while(1){f=c[e+(d<<2)>>2]|0;if(!f)break;l=c[f+16>>2]|0;if(c[l+96>>2]|0?(a[l+113>>0]|0)==0:0)break c;d=d+1|0}g=g+1|0}El(b)}while(0);ui(b);e=0;d=(c[m>>2]|0)+192|0;while(1){d=c[d>>2]|0;if(!d)break;l=d+16|0;d=c[l>>2]|0;f=c[d+188>>2]|0;d:do if(f){k=0;while(1){g=c[f+(k<<2)>>2]|0;if(!g){k=0;break}i=c[g+16>>2]|0;j=c[i+96>>2]|0;do if(j)if(!(a[i+113>>0]|0)){Fl(g);f=c[l>>2]|0;e=1;d=f;f=c[f+188>>2]|0;break}else{h[i+136>>3]=+h[((c[(c[m>>2]|0)+116>>2]&1|0)==0?j+24|0:j+32|0)>>3];break}while(0);k=k+1|0}while(1){if((k|0)>=(c[d+208>>2]|0))break d;i=c[(c[d+204>>2]|0)+(k<<2)>>2]|0;j=c[i>>2]&3;g=c[((j|0)==3?i:i+48|0)+40>>2]|0;j=c[((j|0)==2?i:i+-48|0)+40>>2]|0;do if(!((g|0)==(j|0)?1:(c[(c[g+16>>2]|0)+232>>2]|0)!=(c[(c[j+16>>2]|0)+232>>2]|0))){f=i;do{j=c[f+16>>2]|0;f=c[j+172>>2]|0}while((f|0)!=0);f=a[j+113>>0]|0;g=c[i+16>>2]|0;a[g+113>>0]=f;g=c[g+96>>2]|0;if(g)if(!(f<<24>>24)){Fl(i);e=1;d=c[l>>2]|0;break}else{o=+h[((c[(c[m>>2]|0)+116>>2]&1|0)==0?g+24|0:g+32|0)>>3];j=j+136|0;n=+h[j>>3];h[j>>3]=o>n?o:n;break}}while(0);k=k+1|0}}while(0);d=d+164|0}if(e|0){nh(b);Bh(b)}return e|0}function Dl(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;d=c[b>>2]&3;i=c[((d|0)==3?b:b+48|0)+40>>2]|0;f=i+16|0;g=c[(c[f>>2]|0)+236>>2]|0;d=c[(c[(c[((d|0)==2?b:b+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;h=(g|0)<(d|0);e=h?d:g;i=c[(c[(Vf(i)|0)+16>>2]|0)+196>>2]|0;f=i+(c[(c[f>>2]|0)+232>>2]<<6)+4|0;d=h?g:d;a:while(1){d=d+1|0;if((d|0)>=(e|0))break;g=c[(c[(c[f>>2]|0)+(d<<2)>>2]|0)+16>>2]|0;switch(a[g+156>>0]|0){case 0:break a;case 1:break;default:continue a}if(c[g+104>>2]|0)break}if((d|0)==(e|0))do{i=c[b+16>>2]|0;a[i+113>>0]=1;b=c[i+172>>2]|0}while((b|0)!=0);return}function El(a){a=a|0;var d=0,e=0,f=0,g=0;g=a+16|0;a=c[g>>2]|0;if(b[a+236>>1]|0)ma(81281,81264,190,81300);d=(b[a+238>>1]|0)+3|0;a=c[a+196>>2]|0;if(!a)a=ww(d<<6)|0;else a=yw(a,d<<6)|0;d=a+64|0;a=c[g>>2]|0;c[a+196>>2]=d;a=b[a+238>>1]|0;while(1){if((a|0)<=-1)break;f=a+-1|0;e=d+(a<<6)|0;a=d+(f<<6)|0;d=e+64|0;do{c[e>>2]=c[a>>2];e=e+4|0;a=a+4|0}while((e|0)<(d|0));a=f;d=c[(c[g>>2]|0)+196>>2]|0}c[d+(a<<6)+8>>2]=0;c[d+(a<<6)>>2]=0;e=vw(8)|0;g=c[g>>2]|0;f=c[g+196>>2]|0;c[f+(a<<6)+12>>2]=e;c[f+(a<<6)+4>>2]=e;c[f+(a<<6)+56>>2]=0;h[f+(a<<6)+24>>3]=1.0;h[f+(a<<6)+16>>3]=1.0;h[f+(a<<6)+40>>3]=1.0;h[f+(a<<6)+32>>3]=1.0;g=g+236|0;b[g>>1]=(b[g>>1]|0)+-1<<16>>16;return}function Fl(b){b=b|0;var d=0,e=0,f=0.0,g=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0.0,q=0.0,r=0.0;j=b+16|0;if(c[(c[j>>2]|0)+96>>2]|0){m=b+48|0;k=Vf(c[((c[b>>2]&3|0)==3?b:m)+40>>2]|0)|0;d=c[(c[(c[((c[b>>2]&3|0)==3?b:m)+40>>2]|0)+16>>2]|0)+232>>2]|0;l=Gl(k,b)|0;n=k+16|0;e=c[n>>2]|0;g=c[e+196>>2]|0;o=d+-1|0;i=c[c[g+(o<<6)+4>>2]>>2]|0;if(!i)f=+h[g+(d<<6)+24>>3]+ +h[(c[(c[c[g+(d<<6)+4>>2]>>2]|0)+16>>2]|0)+24>>3]+ +(c[e+252>>2]|0);else f=+h[(c[i+16>>2]|0)+24>>3]-+h[g+(o<<6)+16>>3];d=Hl(k,o,l)|0;k=c[(c[j>>2]|0)+96>>2]|0;q=+h[k+24>>3];p=+h[k+32>>3];j=(c[(c[n>>2]|0)+116>>2]&1|0)==0;r=j?p:q;g=d+16|0;e=c[g>>2]|0;h[e+80>>3]=r;l=~~(r*.5);p=(j?q:p)*.5;h[e+96>>3]=p;h[e+88>>3]=p;c[e+104>>2]=k;h[e+24>>3]=+(l+~~f|0);e=ah(d,c[((c[b>>2]&3|0)==3?b:m)+40>>2]|0,b)|0;e=c[e+16>>2]|0;h[e+16>>3]=-+h[(c[g>>2]|0)+88>>3];h[e+56>>3]=+h[(c[(c[((c[b>>2]&3|0)==3?b:m)+40>>2]|0)+16>>2]|0)+96>>3];a[e+112>>0]=4;e=b+-48|0;d=ah(d,c[((c[b>>2]&3|0)==2?b:e)+40>>2]|0,b)|0;g=c[g>>2]|0;d=c[d+16>>2]|0;h[d+16>>3]=+h[g+96>>3];h[d+56>>3]=+h[(c[(c[((c[b>>2]&3|0)==2?b:e)+40>>2]|0)+16>>2]|0)+88>>3];a[d+112>>0]=4;d=c[(c[n>>2]|0)+196>>2]|0;e=d+(o<<6)+16|0;f=+(l|0);if(+h[e>>3]<f)h[e>>3]=f;d=d+(o<<6)+24|0;if(+h[d>>3]<f)h[d>>3]=f;c[g+112>>2]=b}return}function Gl(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+32|0;j=n+8|0;f=n+4|0;g=n;d=c[b>>2]&3;e=c[((d|0)==3?b:b+48|0)+40>>2]|0;k=(c[(c[e+16>>2]|0)+232>>2]|0)+-1|0;a=c[(c[a+16>>2]|0)+196>>2]|0;h=c[a+(k<<6)+4>>2]|0;a=c[a+(k<<6)>>2]|0;k=j+8|0;c[k>>2]=-1;c[j>>2]=-1;m=j+12|0;c[m>>2]=a;i=j+4|0;c[i>>2]=a;Il(e,c[((d|0)==2?b:b+-48|0)+40>>2]|0,f,g);f=c[f>>2]|0;g=c[g>>2]|0;d=0;e=a;b=-1;while(1){if((d|0)>=(e|0))break;e=e+-1|0;Jl(c[h+(d<<2)>>2]|0,j,f,g);if((d|0)!=(e|0))Jl(c[h+(e<<2)>>2]|0,j,f,g);a=c[i>>2]|0;b=c[j>>2]|0;if((a-b|0)<2)break;else d=d+1|0}if((b|0)>(a|0))a=(c[m>>2]|0)+(c[k>>2]|0)|0;else a=a+b|0;l=n;return (a+1|0)/2|0|0}function Hl(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;g=a+16|0;f=c[(c[g>>2]|0)+196>>2]|0;e=f+(b<<6)|0;f=c[f+(b<<6)+4>>2]|0;if(!f)f=ww((c[e>>2]<<2)+8|0)|0;else f=yw(f,(c[e>>2]<<2)+8|0)|0;e=c[(c[g>>2]|0)+196>>2]|0;c[e+(b<<6)+4>>2]=f;e=c[e+(b<<6)>>2]|0;while(1){if((e|0)<=(d|0))break;h=e+-1|0;i=c[f+(h<<2)>>2]|0;c[f+(e<<2)>>2]=i;i=(c[i+16>>2]|0)+236|0;c[i>>2]=(c[i>>2]|0)+1;e=h}h=fh(a)|0;i=f+(d<<2)|0;c[i>>2]=h;h=c[h+16>>2]|0;c[h+236>>2]=d;c[h+232>>2]=b;g=(c[(c[g>>2]|0)+196>>2]|0)+(b<<6)|0;h=(c[g>>2]|0)+1|0;c[g>>2]=h;c[f+(h<<2)>>2]=0;return c[i>>2]|0}function Il(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;a=c[(c[a+16>>2]|0)+236>>2]|0;b=c[(c[b+16>>2]|0)+236>>2]|0;f=(a|0)>(b|0);c[d>>2]=f?b:a;c[e>>2]=f?a:b;return}function Jl(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0;m=l;l=l+16|0;h=m+4|0;g=m;b=c[b+16>>2]|0;do if((a[b+156>>0]|0)==1){k=c[b+236>>2]|0;if(c[b+176>>2]|0){i=c[b+180>>2]|0;b=0;g=0;h=0;while(1){j=c[i+(h<<2)>>2]|0;if(!j)break;n=c[(c[(c[((c[j>>2]&3|0)==2?j:j+-48|0)+40>>2]|0)+16>>2]|0)+236>>2]|0;j=(n|0)>(e|0);b=j?((n|0)<(f|0)?b:1):b;g=j?g:1;h=h+1|0}if(g<<24>>24!=0&b<<24>>24==0){c[d>>2]=k+1;break}if(!(g<<24>>24==0&b<<24>>24!=0))break;c[d+4>>2]=k+-1;break}if((c[b+184>>2]|0)!=2)ma(81244,81264,63,81271);i=c[b+180>>2]|0;n=c[i>>2]|0;i=c[i+4>>2]|0;Il(c[((c[n>>2]&3|0)==2?n:n+-48|0)+40>>2]|0,c[((c[i>>2]&3|0)==2?i:i+-48|0)+40>>2]|0,h,g);i=c[g>>2]|0;if((i|0)<=(e|0)){c[d>>2]=k;c[d+8>>2]=k;break}b=c[h>>2]|0;if((b|0)>=(f|0)){c[d+4>>2]=k;c[d+12>>2]=k;break}g=(b|0)<(e|0);h=(i|0)>(f|0);if(!(h&g)){if(!(!g?!((i|0)<(f|0)&(b|0)==(e|0)):0))c[d+8>>2]=k;if(!h?!((i|0)==(f|0)&(b|0)>(e|0)):0)break;c[d+12>>2]=k}}while(0);l=m;return}function Kl(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;do if((a|0)!=0?(c[a+24>>2]|0)<=0:0){h=c[a+4>>2]|0;g=h+32|0;b=c[g>>2]|0;if(b){b=cb[b&31](a,2,0,h)|0;if((b|0)<0){b=-1;break}}else b=0;if(c[a+28>>2]|0)Wl(a,0)|0;f=(b|0)==0;if(f){bb[c[c[a+16>>2]>>2]&31](a,0,64)|0;if((Sl(a)|0)>0){b=-1;break}d=a+8|0;b=c[d>>2]|0;if((c[b+12>>2]|0)>0){e=a+12|0;cb[c[e>>2]&31](a,c[b+8>>2]|0,0,h)|0;b=c[d>>2]|0}else e=a+12|0;cb[c[e>>2]&31](a,b,0,h)|0}b=c[a+20>>2]|0;if(b){if(f&(b|0)==1)cb[c[a+12>>2]&31](a,a,0,h)|0}else _I(a);b=c[g>>2]|0;if(!b)b=0;else{cb[b&31](a,6,0,h)|0;b=0}}else b=-1;while(0);return b|0}function Ll(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0;f=a+4|0;n=c[f>>2]|0;a:do if(n)if(b){m=c[c[a+16>>2]>>2]|0;g=a+8|0;if(c[c[g>>2]>>2]&4096|0)Rl(a,0)|0;e=c[n+32>>2]|0;if(e|0?(cb[e&31](a,3,b,n)|0)<0:0){b=0;break}c[f>>2]=b;e=c[b+28>>2]|0;c[a+12>>2]=(e|0)==0?19:e;e=c[c[g>>2]>>2]|0;if(!(e&112)){do if(!(e&2))if(!(e&3))if(!(d&1))break;else{b=n;break a}else if((d&3|0)==3){b=n;break a}else break;else if(d&2|0){b=n;break a}while(0);h=Ol(a)|0;e=c[g>>2]|0;l=c[e>>2]|0;c[e>>2]=l&-4097;c[e+4>>2]=0;c[e+16>>2]=0;b:do if(l&3|0){l=c[e+8>>2]|0;f=l+(c[e+12>>2]<<2)|0;e=l;while(1){if(e>>>0>=f>>>0)break b;c[e>>2]=0;e=e+4|0}}while(0);i=(d&2|0)==0;j=b+8|0;k=b+4|0;l=b+24|0;while(1){if(!h){b=n;break a}d=c[h>>2]|0;if(i){e=c[j>>2]|0;if((e|0)<0)e=c[h+8>>2]|0;else e=h+(0-e)|0;g=c[k>>2]|0;e=e+(c[b>>2]|0)|0;if((g|0)<0)e=c[e>>2]|0;f=c[l>>2]|0;if(!f)e=Ul(0,e,g)|0;else e=bb[f&31](a,e,b)|0;c[h+4>>2]=e}bb[m&31](a,h,32)|0;h=d}}else b=n}else b=n;else{c[f>>2]=b;n=c[b+28>>2]|0;c[a+12>>2]=(n|0)==0?19:n}while(0);return b|0}function Ml(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;a=(c|0)==0;do if(!b)if(a)a=0;else a=ZI(c)|0;else if(a){_I(b);a=0;break}else{a=aJ(b,c)|0;break}while(0);return a|0}function Nl(a){a=a|0;var b=0,d=0,e=0;e=a+8|0;b=c[e>>2]|0;d=c[b>>2]|0;a:do if(!(d&12)){if(!(d&3)){d=b+8|0;a=c[d>>2]|0;c[d>>2]=0;break}a=Ol(a)|0;d=c[e>>2]|0;b=c[d+8>>2]|0;d=b+(c[d+12>>2]<<2)|0;while(1){if(b>>>0>=d>>>0)break a;c[b>>2]=0;b=b+4|0}}else a=c[b+4>>2]|0;while(0);e=c[e>>2]|0;c[e>>2]=c[e>>2]&-4097;c[e+16>>2]=0;c[e+4>>2]=0;return a|0}function Ol(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;g=a+8|0;a=c[g>>2]|0;b=c[a>>2]|0;if(!(b&4096)){a:do if(!(b&3)){if(b&112|0){a=c[a+8>>2]|0;break}a=c[a+4>>2]|0;if(!a)a=0;else{while(1){b=a+4|0;d=c[b>>2]|0;if(!d){e=a;break}c[b>>2]=c[d>>2];c[d>>2]=a;a=d}while(1){b=c[e>>2]|0;if(!b)break a;d=c[b+4>>2]|0;if(!d){e=b;continue}while(1){c[b+4>>2]=c[d>>2];c[d>>2]=b;b=c[d+4>>2]|0;if(!b)break;else{f=d;d=b;b=f}}c[e>>2]=d;e=d}}}else{e=c[a+8>>2]|0;f=e+(c[a+12>>2]<<2)|0;b=0;a=0;while(1){if(e>>>0>=f>>>0)break a;d=c[e>>2]|0;if(d){if(!b){b=d;a=d}else c[b>>2]=d;while(1){d=c[b>>2]|0;if(!d)break;else b=d}c[e>>2]=b}e=e+4|0}}while(0);g=c[g>>2]|0;c[g+4>>2]=a;c[g>>2]=c[g>>2]|4096}else a=c[a+4>>2]|0;return a|0}function Pl(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0;s=a+8|0;if(c[c[s>>2]>>2]&4096|0)Rl(a,0)|0;r=c[a+4>>2]|0;m=c[r>>2]|0;n=c[r+4>>2]|0;q=r+8|0;u=c[q>>2]|0;o=c[r+20>>2]|0;p=a+20|0;f=c[p>>2]&-32769;c[p>>2]=f;a:do if(!b){if(d&384|0){f=c[s>>2]|0;e=c[f+8>>2]|0;if(!e){e=0;break}if(d&256){e=c[e+4>>2]|0;c[f+4>>2]=e;if(!e){e=0;break}}else c[f+4>>2]=e;if((u|0)<0){e=c[e+8>>2]|0;break}else{e=e+(0-u)|0;break}}if(d&4098|0){e=c[s>>2]|0;if(c[e>>2]&144|0){e=0;break}e=c[e+8>>2]|0;if(!e){e=0;break}else{h=e;t=84;break}}if(!(d&64))e=0;else{i=r+16|0;b:do if((c[i>>2]|0)!=0|(u|0)<0){j=a+12|0;k=(u|0)<0;f=0-u|0;e=c[(c[s>>2]|0)+8>>2]|0;while(1){if(!e)break b;g=c[e>>2]|0;h=c[i>>2]|0;if(h|0){if(k)b=c[e+8>>2]|0;else b=e+f|0;ib[h&127](a,b,r)}if((c[q>>2]|0)>=0){e=g;continue}cb[c[j>>2]&31](a,e,0,r)|0;e=g}}while(0);e=c[s>>2]|0;c[e+4>>2]=0;c[e+8>>2]=0;c[(c[s>>2]|0)+16>>2]=0;e=0}}else{if(d&2049|0){g=r+12|0;e=c[g>>2]|0;h=(d&1|0)==0;if(!(h|(e|0)==0)){e=bb[e&31](a,b,r)|0;if(!e){e=0;break}else f=e}else f=b;do if((u|0)>-1)h=f+u|0;else{e=cb[c[a+12>>2]&31](a,0,12,r)|0;if(e|0){c[e+8>>2]=f;h=e;break}if(!(c[g>>2]|0)){e=0;break a}e=c[r+16>>2]|0;if(h|(e|0)==0){e=0;break a}ib[e&127](a,f,r);e=0;break a}while(0);g=c[s>>2]|0;e=c[g>>2]|0;do if(!(e&128)){if(!(e&16))if(!(e&32)){t=51;break}else{t=48;break}f=c[g+4>>2]|0;e=(f|0)!=0;if(!(d&8192)){if(!e){t=48;break}if((f|0)==(c[g+8>>2]|0)){t=48;break}r=f+4|0;a=c[r>>2]|0;c[h+4>>2]=a;c[a>>2]=h;c[h>>2]=f;c[r>>2]=h;break}else{if(!e){t=51;break}e=c[f>>2]|0;if(!e){t=51;break}c[h>>2]=e;c[e+4>>2]=h;c[h+4>>2]=f;c[f>>2]=h;break}}else if(!(d&8192))t=48;else t=51;while(0);if((t|0)==48){e=c[g+8>>2]|0;c[h>>2]=e;if(!e)e=h;else c[h+4>>2]=c[e+4>>2];c[e+4>>2]=h;c[(c[s>>2]|0)+8>>2]=h}else if((t|0)==51){f=g+8|0;e=c[f>>2]|0;if(!e){c[f>>2]=h;e=h}else{r=e+4|0;c[c[r>>2]>>2]=h;c[h+4>>2]=c[r>>2]}c[e+4>>2]=h;c[h>>2]=0}e=c[s>>2]|0;f=e+16|0;g=c[f>>2]|0;if((g|0)>-1)c[f>>2]=g+1;c[e+4>>2]=h;if((u|0)<0){e=c[h+8>>2]|0;break}else{e=h+(0-u)|0;break}}h=c[s>>2]|0;do if(!(d&512)){e=c[h+4>>2]|0;if(e|0){if((u|0)<0)g=c[e+8>>2]|0;else g=e+(0-u)|0;if((g|0)==(b|0))break}e=b+m|0;if((n|0)<0){b=c[e>>2]|0;t=68}else{b=e;t=68}}else t=68;while(0);if((t|0)==68){g=(u|0)<0;i=(n|0)<0;j=(o|0)==0;k=(n|0)<1;l=0-u|0;e=h+8|0;do{e=c[e>>2]|0;if(!e){e=0;break a}if(g)f=c[e+8>>2]|0;else f=e+l|0;f=f+m|0;if(i)f=c[f>>2]|0;do if(j)if(k){f=xJ(b,f)|0;break}else{f=dL(b,f,n)|0;break}else f=cb[o&31](a,b,f,r)|0;while(0)}while((f|0)!=0);f=c[p>>2]|0}c[p>>2]=f|32768;if(!(d&4098)){do if(!(d&8)){f=c[s>>2]|0;if(!(d&16)){c[f+4>>2]=e;break}if((e|0)==(c[f+8>>2]|0)){c[f+4>>2]=0;e=0;break a}else{e=e+4|0;t=108;break}}else{f=c[s>>2]|0;t=108}while(0);if((t|0)==108){e=c[e>>2]|0;c[f+4>>2]=e;if(!e){e=0;break}}if((u|0)<0){e=c[e+8>>2]|0;break}else{e=e+(0-u)|0;break}}else{h=e;t=84}}while(0);if((t|0)==84){e=c[h>>2]|0;if(e){c[e+4>>2]=c[h+4>>2];e=c[h>>2]|0}f=(c[s>>2]|0)+8|0;g=c[f>>2]|0;if((h|0)==(g|0)){c[f>>2]=e;e=c[(c[s>>2]|0)+8>>2]|0;if(e|0)c[e+4>>2]=c[h+4>>2]}else{f=h+4|0;c[c[f>>2]>>2]=e;e=g+4|0;if((h|0)==(c[e>>2]|0))c[e>>2]=c[f>>2]}e=c[s>>2]|0;f=e+4|0;if((h|0)==(c[f>>2]|0))g=c[h>>2]|0;else g=0;c[f>>2]=g;t=e+16|0;c[t>>2]=(c[t>>2]|0)+-1;if((u|0)<0)e=c[h+8>>2]|0;else e=h+(0-u)|0;f=c[r+16>>2]|0;if(!((d&2|0)==0|(f|0)==0))ib[f&127](a,e,r);if((c[q>>2]|0)<0)cb[c[a+12>>2]&31](a,h,0,r)|0}return e|0}function Ql(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0;j=l;l=l+16|0;g=j;a:do if((a|0)!=0&(b|0)!=0?(f=ZI(40)|0,(f|0)!=0):0){c[f>>2]=0;c[f+16>>2]=0;c[f+4>>2]=0;Ll(f,a,0)|0;d=f+20|0;i=a+32|0;c[d>>2]=0;c[d+4>>2]=0;c[d+8>>2]=0;c[d+12>>2]=0;c[d+16>>2]=0;d=c[i>>2]|0;do if(d){c[g>>2]=0;d=cb[d&31](f,1,g,a)|0;if((d|0)>=0)if(d){e=c[g>>2]|0;if(e|0)if(!(c[b+4>>2]&c[e>>2])){d=f;h=12;break}else{d=f;break}d=a+28|0;if(!(c[d>>2]|0)){d=f;h=12}else{_I(f);e=cb[c[d>>2]&31](0,0,40,a)|0;if(!e){d=0;break a}c[e>>2]=0;c[e+16>>2]=0;c[e+4>>2]=0;Ll(e,a,0)|0;c[e+20>>2]=1;c[e+24>>2]=0;c[e+32>>2]=0;c[e+28>>2]=0;d=e;f=e;h=11}}else{d=f;h=11}else{d=f;h=12}}else{d=f;h=11}while(0);if((h|0)==11){e=cb[c[d+12>>2]&31](d,0,28,a)|0;c[g>>2]=e;if(!e){d=f;h=12}else{c[e>>2]=c[b+4>>2];g=e+4|0;c[g>>2]=0;c[g+4>>2]=0;c[g+8>>2]=0;c[g+12>>2]=0;c[g+16>>2]=0;c[g+20>>2]=0}}if((h|0)==12){_I(d);d=0;break}c[d+8>>2]=e;c[d>>2]=c[b>>2];c[d+16>>2]=b;e=c[i>>2]|0;if(e)cb[e&31](d,5,f,a)|0}else d=0;while(0);l=j;return d|0}function Rl(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0;f=c[c[a+16>>2]>>2]|0;j=a+8|0;g=c[j>>2]|0;h=c[g>>2]|0;d=h&4096;if(!b)if(!d)b=-1;else{e=d;b=c[g+4>>2]|0;i=5}else if(!(c[g+16>>2]|0)){e=0;i=5}else b=-1;a:do if((i|0)==5){c[g>>2]=h&-4097;if(!(h&3)){d=g+4|0;if(!(h&12)){c[d>>2]=0;d=g+8|0}c[d>>2]=b;if(e|0){b=0;break}c[(c[j>>2]|0)+16>>2]=-1;b=0;break}c[g+4>>2]=0;if(!e){c[g+16>>2]=0;while(1){if(!b){b=0;break a}j=c[b>>2]|0;bb[f&31](a,b,32)|0;b=j}}e=c[g+8>>2]|0;a=e+(c[g+12>>2]<<2)|0;while(1){if(e>>>0>=a>>>0){b=0;break a}d=c[e>>2]|0;if(d){c[e>>2]=b;b=c[d>>2]|0;c[d>>2]=0}e=e+4|0}}while(0);return b|0}function Sl(a){a=a|0;var b=0,d=0,e=0;b=a+8|0;d=c[b>>2]|0;if(c[d>>2]&4096){Rl(a,0)|0;d=c[b>>2]|0}e=d+16|0;a=c[e>>2]|0;do if((a|0)<0){b=c[d>>2]|0;if(b&12|0){a=Tl(c[d+4>>2]|0)|0;c[e>>2]=a;break}if(b&112){a=0;b=d+8|0;while(1){b=c[b>>2]|0;if(!b)break;a=a+1|0}c[e>>2]=a}}while(0);return a|0}function Tl(a){a=a|0;var b=0;if(!a)return 0;else{b=Tl(c[a+4>>2]|0)|0;return b+1+(Tl(c[a>>2]|0)|0)|0}return 0}function Ul(b,c,e){b=b|0;c=c|0;e=e|0;var f=0,g=0,h=0;g=c;if((e|0)>=1){h=c+e+-1|0;g=(h>>>0<c>>>0?c:h)+(1-g)&-2;f=c;while(1){if(f>>>0>=h>>>0)break;b=O(((d[f>>0]|0)<<8)+b+(d[f+1>>0]|0)|0,17109811)|0;f=f+2|0}f=c+g|0;if(f>>>0>h>>>0)c=e;else{c=e;b=O(((d[f>>0]|0)<<8)+b|0,17109811)|0}}else{while(1){f=a[c>>0]|0;if(!(f<<24>>24))break;h=a[c+1>>0]|0;e=O(((f&255)<<8)+b+(h&255)|0,17109811)|0;b=e;c=c+(h<<24>>24?2:1)|0}c=c-g|0}return O(b+c|0,17109811)|0}function Vl(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0;G=l;l=l+128|0;z=G+120|0;r=G;F=a+8|0;e=c[F>>2]|0;if(c[e>>2]&4096){Rl(a,0)|0;e=c[F>>2]|0}E=c[a+4>>2]|0;A=c[E>>2]|0;B=c[E+4>>2]|0;x=E+8|0;D=c[x>>2]|0;C=c[E+20>>2]|0;t=a+20|0;c[t>>2]=c[t>>2]&-32769;h=c[e+4>>2]|0;a:do if(!b)if((d&448|0)==0|(h|0)==0)e=0;else{if(!(d&64)){b:do if(!(d&256)){e=h;while(1){f=e+4|0;g=c[f>>2]|0;if(!g)break b;c[f>>2]=c[g>>2];c[g>>2]=e;e=g}}else{e=h;while(1){f=c[e>>2]|0;if(!f)break b;a=f+4|0;c[e>>2]=c[a>>2];c[a>>2]=e;e=f}}while(0);c[(c[F>>2]|0)+4>>2]=e;if((D|0)<0){e=c[e+8>>2]|0;break}else{e=e+(0-D)|0;break}}b=E+16|0;if((c[b>>2]|0)!=0|(D|0)<0){j=a+12|0;k=(D|0)<0;i=0-D|0;e=h;do{h=e;while(1){e=h+4|0;f=c[e>>2]|0;if(!f)break;c[e>>2]=c[f>>2];c[f>>2]=h;h=f}e=c[h>>2]|0;f=c[b>>2]|0;if(f|0){if(k)g=c[h+8>>2]|0;else g=h+i|0;ib[f&127](a,g,E)}if((c[x>>2]|0)<0)cb[c[j>>2]&31](a,h,0,E)|0}while((e|0)!=0);e=c[F>>2]|0}c[e+16>>2]=0;c[e+4>>2]=0;e=0}else{y=a+16|0;u=(d&4098|0)==0;c:do if(u|(c[(c[y>>2]|0)+4>>2]|0)!=8)v=45;else{k=(B|0)<0;e=b+A|0;if(k)e=c[e>>2]|0;i=(C|0)==0;j=(B|0)<1;g=bb[c[a>>2]&31](a,b,4)|0;while(1){if(!g){v=45;break c}f=g+A|0;if(k)f=c[f>>2]|0;do if(i)if(j){f=xJ(e,f)|0;break}else{f=dL(e,f,B)|0;break}else f=cb[C&31](a,e,f,E)|0;while(0);if(f|0){v=45;break c}if((g|0)==(b|0))break;g=bb[c[a>>2]&31](a,g,8)|0}h=c[(c[F>>2]|0)+4>>2]|0;c[z>>2]=c[h+4>>2];c[z+4>>2]=c[h>>2];e=z;v=180}while(0);d:do if((v|0)==45){do if(!(d&2565)){if(d&32|0){if((D|0)<0)g=c[b+8>>2]|0;else g=b+(0-D)|0;e=g+A|0;if((B|0)<0)f=c[e>>2]|0;else f=e;if(!h){e=b;f=z;h=z;v=198;break}else{e=b;s=f;j=b;v=64;break}}if(h){if((D|0)<0)e=c[h+8>>2]|0;else e=h+(0-D)|0;if((e|0)!=(b|0)){f=b+A|0;if((B|0)<0){g=b;e=0;s=c[f>>2]|0;j=0;v=64}else{g=b;e=0;s=f;j=0;v=64}}else{e=0;g=b;f=z;k=z;j=0;v=141}}else{e=0;g=b;f=z;h=z;v=198}}else{if(!(d&512)){e=b+A|0;if((B|0)<0)f=c[e>>2]|0;else f=e}else f=b;if(!h){e=0;g=b;f=z;h=z;v=198}else{g=b;e=0;s=f;j=0;v=64}}while(0);e:do if((v|0)==64){f:do if((c[(c[y>>2]|0)+4>>2]|0)==4?(q=c[(c[F>>2]|0)+24>>2]|0,!((d&516|0)==0|(q|0)==0)):0){b=(D|0)<0;m=(B|0)<0;n=(C|0)==0;o=(B|0)<1;p=0-D|0;k=0;f=h;while(1){if((k|0)>=(q|0)){f=z;k=z;m=0;break}if(b)i=c[f+8>>2]|0;else i=f+p|0;i=i+A|0;if(m)i=c[i>>2]|0;do if(n)if(o){i=xJ(s,i)|0;break}else{i=dL(s,i,B)|0;break}else i=cb[C&31](a,s,i,E)|0;while(0);if(!i){v=80;break}c[r+(k<<2)>>2]=i;f=c[((i|0)<0?f+4|0:f)>>2]|0;if(!f){e=0;break a}else k=k+1|0}if((v|0)==80)if(b){e=c[f+8>>2]|0;break a}else{e=f+p|0;break a}while(1){if((m|0)>=(q|0))break f;do if((c[r+(m<<2)>>2]|0)<0){i=h+4|0;b=c[i>>2]|0;if((c[r+((m|1)<<2)>>2]|0)<0){c[i>>2]=c[b>>2];c[b>>2]=h;c[f+4>>2]=b;f=b;h=k;i=b+4|0;break}else{c[k>>2]=b;c[f+4>>2]=h;f=h;h=b;i=b;break}}else{i=c[h>>2]|0;if((c[r+((m|1)<<2)>>2]|0)>0){p=i+4|0;c[h>>2]=c[p>>2];c[p>>2]=h;c[k>>2]=i;h=i;break}else{c[f+4>>2]=i;c[k>>2]=h;f=i;i=i+4|0;break}}while(0);k=h;m=m+2|0;h=c[i>>2]|0}}else{f=z;k=z}while(0);n=(D|0)<0;o=(B|0)<0;p=(C|0)!=0;q=(B|0)<1;r=0-D|0;i=h;g:while(1){h=i;while(1){if(n)i=c[h+8>>2]|0;else i=h+r|0;i=i+A|0;if(o)i=c[i>>2]|0;do if(!p)if(q){i=xJ(s,i)|0;break}else{i=dL(s,i,B)|0;break}else i=cb[C&31](a,s,i,E)|0;while(0);if(!i){v=140;break g}if((i|0)>=0)break;b=h+4|0;m=c[b>>2]|0;if(!m){v=121;break g}if(n)i=c[m+8>>2]|0;else i=m+r|0;i=i+A|0;if(o)i=c[i>>2]|0;do if(!p)if(q){i=xJ(s,i)|0;break}else{i=dL(s,i,B)|0;break}else i=cb[C&31](a,s,i,E)|0;while(0);if((i|0)>=0){v=118;break}c[b>>2]=c[m>>2];c[m>>2]=h;c[f+4>>2]=m;h=c[m+4>>2]|0;if(!h){f=m;h=k;v=198;break e}else f=m}if((v|0)==118){v=0;if(!i){v=119;break}c[k>>2]=m;c[f+4>>2]=h;i=c[m>>2]|0;if(!i){f=h;h=m;v=198;break e}else{f=h;k=m;continue}}b=c[h>>2]|0;if(!b){v=139;break}if(n)i=c[b+8>>2]|0;else i=b+r|0;i=i+A|0;if(o)i=c[i>>2]|0;do if(!p)if(q){i=xJ(s,i)|0;break}else{i=dL(s,i,B)|0;break}else i=cb[C&31](a,s,i,E)|0;while(0);if((i|0)>0){i=b+4|0;c[h>>2]=c[i>>2];c[i>>2]=h;c[k>>2]=b;i=c[b>>2]|0;if(!i){h=b;v=198;break e}else{k=b;continue}}if(!i){v=137;break}c[f+4>>2]=b;c[k>>2]=h;i=c[b+4>>2]|0;if(!i){f=b;v=198;break e}else{f=b;k=h}}if((v|0)==119){c[f+4>>2]=h;f=h;h=m;v=141;break}else if((v|0)==121){c[f+4>>2]=h;f=h;h=k;v=198;break}else if((v|0)==137){c[k>>2]=h;k=h;h=b;v=141;break}else if((v|0)==139){c[k>>2]=h;v=198;break}else if((v|0)==140)if(!h){h=k;v=198;break}else{v=141;break}}while(0);do if((v|0)==141){c[t>>2]=c[t>>2]|32768;i=h+4|0;c[k>>2]=c[i>>2];c[f+4>>2]=c[h>>2];if(!(d&516)){if(d&8|0){c[i>>2]=c[z>>2];c[h>>2]=0;c[z>>2]=h;v=169;break}if(d&16|0){v=z+4|0;c[h>>2]=c[v>>2];c[i>>2]=0;c[v>>2]=h;v=175;break}if(!u){e=f;v=180;break d}if(d&2049|0){if(c[(c[y>>2]|0)+4>>2]&4|0){e=h;break}c[i>>2]=0;e=z+4|0;c[h>>2]=c[e>>2];c[e>>2]=h;e=h;v=205;break}if(!(d&32)){e=0;break a}if(!(c[(c[y>>2]|0)+4>>2]&4)){c[e+4>>2]=0;x=z+4|0;c[e>>2]=c[x>>2];c[x>>2]=j;e=(c[F>>2]|0)+16|0;c[e>>2]=(c[e>>2]|0)+1;e=h;break}e=c[E+16>>2]|0;if(e|0)ib[e&127](a,g,E);if((c[x>>2]|0)<0){cb[c[a+12>>2]&31](a,j,0,E)|0;e=h}else e=h}else e=h}else if((v|0)==198){c[f+4>>2]=0;c[h>>2]=0;if(!(d&8))if(!(d&16)){if(d&516|0){e=f;break d}if(!(d&2049)){if(!(d&32)){g=0;e=f;break d}x=(c[F>>2]|0)+16|0;c[x>>2]=(c[x>>2]|0)+1}else{e=0;v=205}}else v=175;else v=169}while(0);if((v|0)==169){h=z+4|0;e=c[h>>2]|0;if(!e){e=f;break}while(1){f=e+4|0;g=c[f>>2]|0;if(!g)break;c[f>>2]=c[g>>2];c[g>>2]=e;e=g}c[h>>2]=c[e>>2]}else if((v|0)==175){e=c[z>>2]|0;if(!e){e=f;break}while(1){f=c[e>>2]|0;if(!f)break;x=f+4|0;c[e>>2]=c[x>>2];c[x>>2]=e;e=f}c[z>>2]=c[e+4>>2]}else if((v|0)==205){i=E+12|0;h=c[i>>2]|0;j=(d&1|0)==0;if(!(j|(h|0)==0))g=bb[h&31](a,g,E)|0;do if(g){if((D|0)>-1){e=g+D|0;v=215;break}e=cb[c[a+12>>2]&31](a,0,12,E)|0;if(e|0){c[e+8>>2]=g;break}if((c[i>>2]|0)!=0?(w=c[E+16>>2]|0,!(j|(w|0)==0)):0){ib[w&127](a,g,E);v=215}else v=215}else v=215;while(0);if((v|0)==215)if(!e){e=f;break}f=(c[F>>2]|0)+16|0;g=c[f>>2]|0;if((g|0)>-1)c[f>>2]=g+1}c[e+4>>2]=c[z>>2];c[e>>2]=c[z+4>>2];h:do if(!((d&516|0)==0?1:(c[(c[y>>2]|0)+4>>2]&8|0)==0)){m=(D|0)<0;if(m)f=c[e+8>>2]|0;else f=e+(0-D)|0;n=(B|0)<0;f=f+A|0;if(n)f=c[f>>2]|0;j=(C|0)==0;k=(B|0)<1;b=0-D|0;while(1){i=e+4|0;g=c[i>>2]|0;if(!g)break h;while(1){h=c[g>>2]|0;if(!h)break;z=h+4|0;c[g>>2]=c[z>>2];c[z>>2]=g;g=h}c[i>>2]=g;if(m)h=c[g+8>>2]|0;else h=g+b|0;h=h+A|0;if(n)h=c[h>>2]|0;do if(j)if(k){h=xJ(f,h)|0;break}else{h=dL(f,h,B)|0;break}else h=cb[C&31](a,f,h,E)|0;while(0);if(h|0)break h;c[i>>2]=c[g>>2];c[g>>2]=e;e=g}}while(0);c[(c[F>>2]|0)+4>>2]=e;if((D|0)<0){e=c[e+8>>2]|0;break a}else{e=e+(0-D)|0;break a}}while(0);if((v|0)==180){if((D|0)<0)g=c[h+8>>2]|0;else g=h+(0-D)|0;f=c[E+16>>2]|0;if(!((d&2|0)==0|(f|0)==0))ib[f&127](a,g,E);if((c[x>>2]|0)<0)cb[c[a+12>>2]&31](a,h,0,E)|0;a=(c[F>>2]|0)+16|0;E=c[a>>2]|0;c[a>>2]=(E|0)<1?-1:E+-1|0}do{f=e+4|0;e=c[f>>2]|0}while((e|0)!=0);c[f>>2]=c[z>>2];c[(c[F>>2]|0)+4>>2]=c[z+4>>2];e=d&2|0?g:0}while(0);l=G;return e|0}function Wl(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;if(c[c[a+8>>2]>>2]&4096|0)Rl(a,0)|0;f=(b|0)!=0;if(f){if(c[c[b+8>>2]>>2]&4096|0)Rl(b,0)|0;if((c[b+16>>2]|0)==(c[a+16>>2]|0)){d=b;e=7}else b=0}else{d=0;e=7}a:do if((e|0)==7){while(1){if(!d)break;if((d|0)==(a|0)){b=0;break a}d=c[d+28>>2]|0;e=7}d=a+28|0;e=c[d>>2]|0;if(e|0){g=e+24|0;c[g>>2]=(c[g>>2]|0)+-1}c[a+32>>2]=0;c[d>>2]=0;if(f){c[d>>2]=b;c[a>>2]=12;g=b+24|0;c[g>>2]=(c[g>>2]|0)+1;break}else{c[a>>2]=c[c[a+16>>2]>>2];b=e;break}}while(0);return b|0}function Xl(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0;a:do if(!(d&99)){if((d&516|0)==0?(e=c[(c[a+16>>2]|0)+4>>2]|0,!((d&384|0)!=0&(e&12|0)==0)):0){if(e&12|0){if(!(d&408)){e=0;break}o=(d&136|0)!=0;p=(d&272|0)!=0;l=0;f=0;e=0;n=a;while(1){if(!n)break;m=bb[c[c[n+16>>2]>>2]&31](n,b,d)|0;do if(!m)g=l;else{h=c[n+4>>2]|0;i=c[h+4>>2]|0;j=c[h+20>>2]|0;g=m+(c[h>>2]|0)|0;if((i|0)<0)k=c[g>>2]|0;else k=g;if(e|0){do if(!j)if((i|0)<1){g=xJ(k,f)|0;break}else{g=dL(k,f,i)|0;break}else g=cb[j&31](n,k,f,h)|0;while(0);if(!(o&(g|0)<0|p&(g|0)>0)){g=l;break}}g=n;f=k;e=m}while(0);l=g;n=c[n+28>>2]|0}c[a+32>>2]=l;break}if(!(d&24)){e=0;break}j=a+32|0;f=c[j>>2]|0;if(f){e=c[(c[f+4>>2]|0)+8>>2]|0;g=c[(c[f+8>>2]|0)+4>>2]|0;if((e|0)<0)e=c[g+8>>2]|0;else e=g+(0-e)|0;if((e|0)==(b|0))e=b;else{f=a;h=32}}else{f=a;h=32}do if((h|0)==32){while(1){if(!f){h=33;break}e=bb[c[c[f+16>>2]>>2]&31](f,b,4)|0;if(e|0){h=36;break}f=c[f+28>>2]|0;h=32}if((h|0)==33){c[j>>2]=0;e=0;break a}else if((h|0)==36){c[j>>2]=f;break}}while(0);i=(d<<4&128^128)+128|0;e=bb[c[c[f+16>>2]>>2]&31](f,e,d)|0;while(1){h=f+16|0;while(1){if(!e)break;else g=a;while(1){if((g|0)==(f|0))break a;if(bb[c[c[g+16>>2]>>2]&31](g,e,4)|0)break;g=c[g+28>>2]|0}e=bb[c[c[h>>2]>>2]&31](f,e,d)|0}f=c[f+28>>2]|0;c[j>>2]=f;if(!f){e=0;break a}e=bb[c[c[f+16>>2]>>2]&31](f,0,i)|0}}else f=a;while(1){if(!f){f=0;e=0;break}e=bb[c[c[f+16>>2]>>2]&31](f,b,d)|0;if(e|0)break;f=c[f+28>>2]|0}c[a+32>>2]=f}else e=bb[c[c[a+16>>2]>>2]&31](a,b,d)|0;while(0);return e|0}function Yl(a){a=a|0;var b=0;b=c[41980]|0;c[41980]=a;return b|0}function Zl(a){a=a|0;var b=0;b=c[41981]|0;c[41981]=a;return b|0}function _l(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=l;l=l+16|0;f=e;c[f>>2]=d;d=$l(a,b,f)|0;l=e;return d|0}function $l(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;g=l;l=l+16|0;e=g;f=(a|0)==3;h=f?c[41983]|0:(a|0)==2?1:a;c[41983]=h;i=c[41984]|0;c[41984]=i>>>0>h>>>0?i:h;do if(h>>>0<(c[41981]|0)>>>0){a=c[41982]|0;if(!a){a=AN()|0;c[41982]=a;if(!a){a=1;break}}if(!f){DN(a)|0;a=c[41982]|0}MK(a,b,d)|0;a=0}else{if(c[41980]|0){am(a,b,d);a=0;break}if(f)a=c[13918]|0;else{i=c[13918]|0;c[e>>2]=(a|0)==1?81312:81318;zL(i,81326,e)|0;a=i}MK(a,b,d)|0;a=0}while(0);l=g;return a|0}function am(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;if((c[41985]|0)==0?(f=ZI(c[4354]|0)|0,c[41985]=f,(f|0)==0):0)WL(81331,c[13918]|0)|0;else e=4;do if((e|0)==4){if((a|0)!=3){$a[c[41980]&31]((a|0)==1?81312:81318)|0;$a[c[41980]&31](81990)|0}while(1){a=LK(c[41985]|0,c[4354]|0,b,d)|0;e=c[4354]|0;if((a|0)>-1&(a|0)<(e|0)){e=7;break}e=e<<1;f=a+1|0;f=(e|0)>(f|0)?e:f;c[4354]=f;if(!(aJ(c[41985]|0,f)|0)){e=9;break}}if((e|0)==7){$a[c[41980]&31](c[41985]|0)|0;break}else if((e|0)==9){WL(81331,c[13918]|0)|0;break}}while(0);return}function bm(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=b;$l(1,a,e)|0;l=d;return}function cm(b,d,e){b=b|0;d=d|0;e=e|0;var f=0;if(!e){e=(d|0)==0?1024:d;d=e;e=ZI(e)|0;f=1}else f=0;c[b+12>>2]=f;c[b>>2]=e;c[b+8>>2]=e+d;c[b+4>>2]=e;a[e>>0]=0;return}function dm(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;h=a+8|0;f=c[a>>2]|0;g=(c[h>>2]|0)-f|0;e=g<<1;g=g+b|0;e=g>>>0>e>>>0?g:e;g=a+4|0;b=f;f=(c[g>>2]|0)-f|0;d=a+12|0;if(!(c[d>>2]|0)){i=ZI(e)|0;TN(i|0,b|0,f|0)|0;c[d>>2]=1;b=i}else b=aJ(b,e)|0;c[a>>2]=b;c[g>>2]=b+f;c[h>>2]=b+e;return 0}function em(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;f=a+4|0;e=c[f>>2]|0;if((e+d|0)>>>0>(c[a+8>>2]|0)>>>0){dm(a,d)|0;e=c[f>>2]|0}TN(e|0,b|0,d|0)|0;c[f>>2]=(c[f>>2]|0)+d;return d|0}function fm(a,b){a=a|0;b=b|0;return em(a,b,rJ(b)|0)|0}function gm(a){a=a|0;if(c[a+12>>2]|0)_I(c[a>>2]|0);return}function hm(a){a=a|0;var b=0,e=0;b=a+4|0;e=c[b>>2]|0;if(e>>>0>(c[a>>2]|0)>>>0){c[b>>2]=e+-1;a=d[e>>0]|0}else a=-1;return a|0}function im(a,b,d){a=a|0;b=b|0;d=d|0;bp(c[41987]|0,c[b+8>>2]|0)|0;bp(c[41987]|0,c[b+12>>2]|0)|0;Zn(c[41987]|0,b);return}function jm(a,b){a=a|0;b=b|0;var c=0;c=Lo(a,81379,0)|0;if((b|0)!=0&(c|0)==0){km(a);c=Lo(a,81379,0)|0}return c|0}function km(a){a=a|0;var b=0,c=0,d=0;d=so(a)|0;wq(d,d,86,0,1)|0;c=co(d)|0;while(1){if(!c)break;mm(a,c);b=Pm(d,c)|0;while(1){if(!b)break;nm(a,b);b=Rm(d,b)|0}c=eo(d,c)|0}return}function lm(b){b=b|0;var c=0;c=b+24|0;a[c>>0]=a[c>>0]|64;sm(b);c=Lp(b)|0;pm((c|0)==0?b:c,b);return}function mm(a,b){a=a|0;b=b|0;var d=0;d=om(b)|0;if(!((d|0)!=0?(c[d+8>>2]|0)!=0:0))pm(a,b);return}function nm(a,b){a=a|0;b=b|0;var d=0;d=om(b)|0;if(!((d|0)!=0?(c[d+8>>2]|0)!=0:0))pm(a,b);return}function om(a){a=a|0;return Lo(a,81367,0)|0}function pm(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=No(b,81367,16,0)|0;f=qm(a,c[b>>2]&3)|0;e=d+8|0;a:do if(!(c[e>>2]|0)){a=so(a)|0;c[e>>2]=qm(a,c[b>>2]&3)|0;a=rm(b)|0;d=d+12|0;c[d>>2]=Yn(ro(b)|0,((a|0)>4?a:4)<<2)|0;a=bb[c[f>>2]&31](f,0,128)|0;while(1){if(!a)break a;e=ro(b)|0;e=$o(e,c[a+12>>2]|0)|0;c[(c[d>>2]|0)+(c[a+16>>2]<<2)>>2]=e;a=bb[c[f>>2]&31](f,a,8)|0}}while(0);return}function qm(a,b){a=a|0;b=b|0;var d=0,e=0;e=l;l=l+16|0;d=e;a=jm(a,0)|0;a:do if(!a)a=0;else switch(b|0){case 0:{a=c[a+16>>2]|0;break a}case 1:{a=c[a+8>>2]|0;break a}case 2:case 3:{a=c[a+12>>2]|0;break a}default:{c[d>>2]=b;_l(1,81392,d)|0;a=0;break a}}while(0);l=e;return a|0}function rm(a){a=a|0;var b=0;b=so(ro(a)|0)|0;a=qm(b,c[a>>2]&3)|0;if(!a)a=0;else a=Sl(a)|0;return a|0}function sm(a){a=a|0;var b=0,d=0,e=0,f=0;d=No(a,81379,20,0)|0;e=d+8|0;c[e>>2]=Pp(a,17420,c[4353]|0)|0;f=d+12|0;c[f>>2]=Pp(a,17420,c[4353]|0)|0;d=d+16|0;c[d>>2]=Pp(a,17420,c[4353]|0)|0;b=Lp(a)|0;if(!b){b=c[41986]|0;if(!((b|0)==0|(b|0)==(a|0))){b=jm(b,0)|0;tm(c[b+8>>2]|0,c[e>>2]|0,a,1);tm(c[b+12>>2]|0,c[f>>2]|0,a,2);tm(c[b+16>>2]|0,c[d>>2]|0,a,0)}}else{a=jm(b,0)|0;Wl(c[e>>2]|0,c[a+8>>2]|0)|0;Wl(c[f>>2]|0,c[a+12>>2]|0)|0;Wl(c[d>>2]|0,c[a+16>>2]|0)|0}return}function tm(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0;g=bb[c[b>>2]&31](b,0,128)|0;while(1){if(!g)break;h=um(e,c[g+8>>2]|0,c[g+12>>2]|0,c[g+16>>2]|0,f)|0;a[h+22>>0]=a[g+22>>0]|0;a[h+21>>0]=a[g+21>>0]|0;bb[c[d>>2]&31](d,h,1)|0;g=bb[c[b>>2]&31](b,g,8)|0}return}function um(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0;h=Yn(b,24)|0;a[h+20>>0]=g;c[h+8>>2]=$o(b,d)|0;c[h+12>>2]=$o(b,e)|0;c[h+16>>2]=f;return h|0}function vm(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+32|0;e=d;c[e+8>>2]=b;b=bb[c[a>>2]&31](a,e,4)|0;l=d;return b|0}function wm(a,b){a=a|0;b=b|0;var c=0;c=Wl(a,0)|0;b=vm(a,b)|0;Wl(a,c)|0;return b|0}function xm(a,b){a=a|0;b=b|0;a=om(a)|0;if(!a)a=0;else a=vm(c[a+8>>2]|0,b)|0;return a|0}function ym(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0;h=l;l=l+16|0;g=h;if(!b){b=c[41986]|0;if(!b){a[g>>0]=a[17456]|0;a[g+1>>0]=a[17457]|0;a[g+2>>0]=a[17458]|0;a[g+3>>0]=a[17459]|0;b=gn(0,g,0)|0;c[41986]=b}}if(!f)b=Am(b,d,e)|0;else b=zm(b,d,e,f)|0;l=h;return b|0}function zm(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;i=so(a)|0;jm(a,1)|0;g=qm(a,b)|0;f=wm(g,d)|0;a:do if(!f){f=vm(g,d)|0;if(f|0){f=um(a,d,e,c[f+16>>2]|0,b)|0;bb[c[g>>2]&31](g,f,1)|0;h=16;break}g=qm(i,b)|0;f=um(a,d,e,Sl(g)|0,b)|0;bb[c[g>>2]&31](g,f,1)|0;switch(b|0){case 0:{wq(i,i,52,f,1)|0;h=16;break a}case 1:{d=co(i)|0;while(1){if(!d){h=16;break a}Bm(a,d,f);d=eo(i,d)|0}}case 2:case 3:{g=co(i)|0;while(1){if(!g){h=16;break a}d=Pm(i,g)|0;while(1){if(!d)break;Bm(a,d,f);d=Rm(i,d)|0}g=eo(i,g)|0}}default:break a}}else{h=f+12|0;bp(a,c[h>>2]|0)|0;c[h>>2]=$o(a,e)|0;h=16}while(0);if((h|0)==16)if((b|0)==0&(f|0)!=0)Cm(a,f,e)|0;vo(a,a,f);return f|0}function Am(a,b,c){a=a|0;b=b|0;c=c|0;a=qm(a,b)|0;if(!a)a=0;else a=vm(a,c)|0;return a|0}function Bm(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;b=om(b)|0;f=d+16|0;e=c[f>>2]|0;if((e|0)>3){g=c[a+64>>2]|0;b=b+12|0;e=e<<2;c[b>>2]=cb[c[(c[g>>2]|0)+8>>2]&31](c[g+12>>2]|0,c[b>>2]|0,e,e+4|0)|0}else b=b+12|0;g=$o(a,c[d+12>>2]|0)|0;c[(c[b>>2]|0)+(c[f>>2]<<2)>>2]=g;return}function Cm(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;h=ro(a)|0;g=(om(a)|0)+12|0;i=b+16|0;bp(h,c[(c[g>>2]|0)+(c[i>>2]<<2)>>2]|0)|0;f=$o(h,d)|0;c[(c[g>>2]|0)+(c[i>>2]<<2)>>2]=f;do if(!(c[a>>2]&3)){e=c[(jm(h,0)|0)+16>>2]|0;f=b+8|0;g=wm(e,c[f>>2]|0)|0;if(!g){i=um(h,c[f>>2]|0,d,c[i>>2]|0,c[a>>2]&3)|0;bb[c[e>>2]&31](e,i,1)|0;break}else{i=g+12|0;bp(h,c[i>>2]|0)|0;c[i>>2]=$o(h,d)|0;break}}while(0);vo(h,a,b);return 0}function Dm(a,b,d){a=a|0;b=b|0;d=d|0;a=qm(a,b)|0;do if(a){b=c[a>>2]|0;if(!d){a=bb[b&31](a,0,128)|0;break}else{a=bb[b&31](a,d,8)|0;break}}else a=0;while(0);return a|0}function Em(a){a=a|0;var b=0;c[41987]=a;b=om(a)|0;if(b|0){Fm(a,b);Po(a,c[b>>2]|0)|0}b=jm(a,0)|0;if(b)if(((Rp(a,c[b+8>>2]|0)|0)==0?(Rp(a,c[b+12>>2]|0)|0)==0:0)?(Rp(a,c[b+16>>2]|0)|0)==0:0){Po(a,c[b>>2]|0)|0;b=0}else b=1;else b=0;return b|0}function Fm(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;f=ro(a)|0;e=rm(a)|0;b=b+12|0;a=0;while(1){d=c[b>>2]|0;if((a|0)>=(e|0))break;bp(f,c[d+(a<<2)>>2]|0)|0;a=a+1|0}Zn(f,d);return}function Gm(a){a=a|0;var b=0;b=om(a)|0;if(b|0){Fm(a,b);Po(a,81367)|0}return}function Hm(a){a=a|0;var b=0;b=om(a)|0;if(b|0){Fm(a,b);Po(a,81367)|0}return}function Im(a,b){a=a|0;b=b|0;b=xm(a,b)|0;if(!b)b=0;else{a=c[(om(a)|0)+12>>2]|0;b=c[a+(c[b+16>>2]<<2)>>2]|0}return b|0}function Jm(a,b){a=a|0;b=b|0;a=c[(om(a)|0)+12>>2]|0;return c[a+(c[b+16>>2]<<2)>>2]|0}function Km(a,b,c){a=a|0;b=b|0;c=c|0;b=xm(a,b)|0;if(!b)b=-1;else{Cm(a,b,c)|0;b=0}return b|0}function Lm(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;f=ro(a)|0;f=ym(f,c[a>>2]&3,b,0)|0;if(!f){f=ro(a)|0;f=ym(f,c[a>>2]&3,b,e)|0}Cm(a,f,d)|0;return 0}function Mm(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;g=ro(a)|0;f=c[a>>2]|0;a:do if(!((c[b>>2]^f)&3)){d=1;e=0;while(1){e=Dm(g,f&3,e)|0;if(!e)break a;d=xm(b,c[e+8>>2]|0)|0;if(!d){d=1;break a}f=Jm(a,e)|0;Cm(b,d,f)|0;if(cp(f)|0)dp(Jm(b,d)|0);d=0;f=c[a>>2]|0}}else d=1;while(0);return d|0}function Nm(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;a=c[b+40>>2]|0;f=c[d+40>>2]|0;if((a|0)==(f|0)){e=(c[b>>2]|0)>>>4;a=(c[d>>2]|0)>>>4;if(e>>>0>=a>>>0)if(e>>>0>a>>>0)a=1;else g=6;else a=-1}else{e=(c[a>>2]|0)>>>4;a=(c[f>>2]|0)>>>4;if(e>>>0>=a>>>0)if(e>>>0>a>>>0)a=1;else g=6;else a=-1}if((g|0)==6)a=0;return a|0}function Om(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;a=(c[b+40>>2]|0)+8|0;g=c[a>>2]|0;a=c[a+4>>2]|0;f=(c[d+40>>2]|0)+8|0;e=c[f>>2]|0;f=c[f+4>>2]|0;do if(!(a>>>0<f>>>0|(a|0)==(f|0)&g>>>0<e>>>0))if(a>>>0>f>>>0|(a|0)==(f|0)&g>>>0>e>>>0)a=1;else{e=b+8|0;a=c[e>>2]|0;e=c[e+4>>2]|0;if(!((a|0)==0&(e|0)==0)?(i=d+8|0,h=c[i>>2]|0,i=c[i+4>>2]|0,!((h|0)==0&(i|0)==0)):0){if(e>>>0<i>>>0|(e|0)==(i|0)&a>>>0<h>>>0){a=-1;break}if(e>>>0>i>>>0|(e|0)==(i|0)&a>>>0>h>>>0){a=1;break}}a=0}else a=-1;while(0);return a|0}function Pm(a,b){a=a|0;b=b|0;var d=0;b=Qm(a,b)|0;if(!b)b=0;else{d=a+44|0;a=b+32|0;Rl(c[d>>2]|0,c[a>>2]|0)|0;b=c[d>>2]|0;b=bb[c[b>>2]&31](b,0,128)|0;c[a>>2]=Nl(c[d>>2]|0)|0}return b|0}function Qm(a,b){a=a|0;b=b|0;var d=0,e=0;e=l;l=l+48|0;d=e;if((c[b+24>>2]|0)==(a|0))a=b+28|0;else{c[d+16>>2]=b;a=c[a+40>>2]|0;a=bb[c[a>>2]&31](a,d,4)|0}l=e;return a|0}function Rm(a,b){a=a|0;b=b|0;var d=0,e=0;d=Qm(a,c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0)|0;if(!d)a=0;else{e=a+44|0;d=d+32|0;Rl(c[e>>2]|0,c[d>>2]|0)|0;a=c[e>>2]|0;a=bb[c[a>>2]&31](a,b,8)|0;c[d>>2]=Nl(c[e>>2]|0)|0}return a|0}function Sm(a,b){a=a|0;b=b|0;var d=0;b=Qm(a,b)|0;if(!b)b=0;else{d=a+44|0;a=b+28|0;Rl(c[d>>2]|0,c[a>>2]|0)|0;b=c[d>>2]|0;b=bb[c[b>>2]&31](b,0,128)|0;c[a>>2]=Nl(c[d>>2]|0)|0}return b|0}function Tm(a,b){a=a|0;b=b|0;var d=0,e=0;d=Qm(a,c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0)|0;if(!d)a=0;else{e=a+44|0;d=d+28|0;Rl(c[e>>2]|0,c[d>>2]|0)|0;a=c[e>>2]|0;a=bb[c[a>>2]&31](a,b,8)|0;c[d>>2]=Nl(c[e>>2]|0)|0}return a|0}function Um(a,b){a=a|0;b=b|0;var c=0;c=Pm(a,b)|0;if(!c)c=Sm(a,b)|0;return c|0}function Vm(a,b,d){a=a|0;b=b|0;d=d|0;a:do if((c[b>>2]&3|0)==2){b=Rm(a,b)|0;if(!b){b=0;do{if(!b)b=Sm(a,d)|0;else b=Tm(a,b)|0;if(!b){b=0;break a}}while((c[b+40>>2]|0)==(d|0))}}else do{b=Tm(a,b)|0;if(!b){b=0;break a}}while((c[b+40>>2]|0)==(d|0));while(0);return b|0}function Wm(a,b,e){a=a|0;b=b|0;e=e|0;var f=0,g=0,h=0;h=l;l=l+32|0;f=h+16|0;g=h;if((sn(a)|0)!=0?(c[g>>2]=0,c[g+4>>2]=0,c[g+8>>2]=0,c[g+12>>2]=0,c[f>>2]=c[g>>2],c[f+4>>2]=c[g+4>>2],c[f+8>>2]=c[g+8>>2],c[f+12>>2]=c[g+12>>2],(_m(a,b,e,f)|0)!=0):0)f=0;else f=((d[a+24>>0]|0)>>>2&1^1)&255|(b|0)!=(e|0);l=h;return f|0}function Xm(a,b){a=a|0;b=b|0;Zm(a,b);return}function Ym(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,l=0,m=0;io(b,d,1)|0;io(b,e,1)|0;h=Yn(b,96)|0;i=h+48|0;l=kn(b,2)|0;j=c[i>>2]|0;k=c[h>>2]|0;m=h+8|0;c[m>>2]=f;c[m+4>>2]=g;m=h+56|0;c[m>>2]=f;c[m+4>>2]=g;g=l<<4;c[h>>2]=k&12|g|2;c[i>>2]=j&12|g|3;c[h+88>>2]=d;c[h+40>>2]=e;Zm(b,h);if(a[b+24>>0]&64){No(h,81367,16,0)|0;nm(b,h)}to(b,h);return h|0}function Zm(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0;i=l;l=l+16|0;d=i;h=c[b>>2]&3;g=(h|0)==2?b:b+-48|0;h=(h|0)==3?b:b+48|0;e=c[h+40>>2]|0;f=c[g+40>>2]|0;while(1){if(!a)break;c[d>>2]=c[b>>2];c[d+4>>2]=c[b+4>>2];c[d+8>>2]=c[b+8>>2];c[d+12>>2]=c[b+12>>2];if(_m(a,e,f,d)|0)break;j=Qm(a,e)|0;m=a+44|0;$m(c[m>>2]|0,j+32|0,g);k=a+48|0;$m(c[k>>2]|0,j+24|0,g);j=Qm(a,f)|0;$m(c[m>>2]|0,j+28|0,h);$m(c[k>>2]|0,j+20|0,h);a=Lp(a)|0}l=i;return}function _m(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;h=l;l=l+48|0;f=h;if(!((b|0)==0|(d|0)==0)?(c[f>>2]=c[e>>2],c[f+4>>2]=c[e+4>>2],c[f+8>>2]=c[e+8>>2],c[f+12>>2]=c[e+12>>2],c[f+40>>2]=b,g=Qm(a,d)|0,(g|0)!=0):0){e=a+48|0;g=g+20|0;Rl(c[e>>2]|0,c[g>>2]|0)|0;a=c[e>>2]|0;a=bb[c[a>>2]&31](a,f,4)|0;c[g>>2]=Nl(c[e>>2]|0)|0}else a=0;l=h;return a|0}function $m(a,b,d){a=a|0;b=b|0;d=d|0;Rl(a,c[b>>2]|0)|0;bb[c[a>>2]&31](a,d,1)|0;c[b>>2]=Nl(a)|0;return}function an(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;n=l;l=l+48|0;i=n+24|0;k=n+16|0;j=n;do if(!(An(a,2,e,k,0)|0))if(!e){if(f|0?(sn(a)|0)==0:0){m=18;break};c[j>>2]=0;c[j+4>>2]=0;c[j+8>>2]=0;c[j+12>>2]=0;m=7}else m=17;else{o=j;c[o>>2]=0;c[o+4>>2]=0;o=k;g=c[o+4>>2]|0;m=j+8|0;c[m>>2]=c[o>>2];c[m+4>>2]=g;c[j>>2]=2;m=7}while(0);a:do if((m|0)==7){c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];c[i+8>>2]=c[j+8>>2];c[i+12>>2]=c[j+12>>2];g=_m(a,b,d,i)|0;b:do if(!g){if(rn(a)|0?(c[i>>2]=c[j>>2],c[i+4>>2]=c[j+4>>2],c[i+8>>2]=c[j+8>>2],c[i+12>>2]=c[j+12>>2],h=_m(a,d,b,i)|0,h|0):0){g=h;break}do if(f|0){g=so(a)|0;c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];c[i+8>>2]=c[j+8>>2];c[i+12>>2]=c[j+12>>2];g=_m(g,b,d,i)|0;if(!g){if(!(rn(a)|0))break;g=so(a)|0;c[i>>2]=c[j>>2];c[i+4>>2]=c[j+4>>2];c[i+8>>2]=c[j+8>>2];c[i+12>>2]=c[j+12>>2];g=_m(g,d,b,i)|0;if(!g)break}Xm(a,g);break b}while(0);m=17;break a}while(0)}while(0);if((m|0)==17)if(!f)g=0;else m=18;if((m|0)==18)if((Wm(a,b,d)|0)!=0?(An(a,2,e,k,1)|0)!=0:0){g=k;g=Ym(a,b,d,c[g>>2]|0,c[g+4>>2]|0)|0;En(a,2,g)}else g=0;l=n;return g|0}function bn(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;d=(c[b>>2]&3|0)==3;g=d?b+-48|0:b;d=d?b:b+48|0;b=c[g+40>>2]|0;h=Qm(a,c[d+40>>2]|0)|0;f=a+44|0;cn(c[f>>2]|0,h+32|0,g);e=a+48|0;cn(c[e>>2]|0,h+24|0,g);b=Qm(a,b)|0;cn(c[f>>2]|0,b+28|0,d);cn(c[e>>2]|0,b+20|0,d);return}function cn(a,b,d){a=a|0;b=b|0;d=d|0;Rl(a,c[b>>2]|0)|0;bb[c[a>>2]&31](a,d,2)|0;c[b>>2]=Nl(a)|0;return}function dn(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0;e=l;l=l+16|0;f=e;d=(c[d>>2]&3|0)==2?d:d+-48|0;g=c[d>>2]&3;h=c[((g|0)==3?d:d+48|0)+40>>2]|0;g=c[((g|0)==2?d:d+-48|0)+40>>2]|0;c[f>>2]=c[d>>2];c[f+4>>2]=c[d+4>>2];c[f+8>>2]=c[d+8>>2];c[f+12>>2]=c[d+12>>2];if(_m(b,h,g,f)|0){if((so(b)|0)==(b|0)){if(a[b+24>>0]&64)Hm(d);xo(b,d);Vo(d);h=d+8|0;Cn(b,2,c[h>>2]|0,c[h+4>>2]|0)}if(!(wq(b,d,53,0,0)|0))if((so(b)|0)==(b|0)){Zn(b,d);d=0}else d=0;else d=-1}else d=-1;l=e;return d|0}function en(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;h=l;l=l+16|0;e=h;f=io(a,c[((c[b>>2]&3|0)==3?b:b+48|0)+40>>2]|0,d)|0;g=io(a,c[((c[b>>2]&3|0)==2?b:b+-48|0)+40>>2]|0,d)|0;do if((f|0)!=0&(g|0)!=0){c[e>>2]=c[b>>2];c[e+4>>2]=c[b+4>>2];c[e+8>>2]=c[b+8>>2];c[e+12>>2]=c[b+12>>2];e=_m(a,f,g,e)|0;f=(e|0)==0;if(!((d|0)!=0&f)){if(f)break}else{Zm(a,b);e=b}d=c[e>>2]&3;l=h;return ((d|0)==(c[b>>2]&3|0)?e:e+(((d|0)==3?-1:1)*48|0)|0)|0}while(0);l=h;return 0}function fn(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;b=b+8|0;e=d+8|0;e=IN(c[b>>2]|0,c[b+4>>2]|0,c[e>>2]|0,c[e+4>>2]|0)|0;return ((e|0)==0?0:e>>31|1)|0}function gn(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;h=l;l=l+16|0;g=h;j=hn(e)|0;f=ab[c[(c[j>>2]|0)+4>>2]&63](c[j+12>>2]|0,72)|0;c[f>>2]=c[f>>2]&-4;i=f+64|0;c[i>>2]=j;k=f+24|0;d=c[d>>2]|0;c[k>>2]=d;a[k>>0]=d&255|8;c[f+60>>2]=f;e=ab[c[c[j+4>>2]>>2]&63](f,e)|0;c[(c[i>>2]|0)+16>>2]=e;if(An(f,0,b,g,1)|0){i=g;j=c[i+4>>2]|0;k=f+8|0;c[k>>2]=c[i>>2];c[k+4>>2]=j}k=jn(f)|0;En(k,0,f);l=h;return k|0}function hn(b){b=b|0;var d=0,e=0,f=0,g=0;d=(b|0)!=0;if(d){e=c[b>>2]|0;e=(e|0)==0?17792:e}else e=17792;g=$a[c[e>>2]&31](b)|0;f=ab[c[e+4>>2]&63](g,80)|0;c[f>>2]=e;c[f+12>>2]=g;if(d){g=c[b+4>>2]|0;c[f+4>>2]=(g|0)==0?17668:g;b=c[b+8>>2]|0;b=(b|0)==0?17768:b}else{c[f+4>>2]=17668;b=17768}c[f+8>>2]=b;a[f+52>>0]=1;return f|0}function jn(b){b=b|0;var d=0,e=0;c[b+36>>2]=Pp(b,17848,c[4353]|0)|0;c[b+40>>2]=Pp(b,17812,c[4353]|0)|0;d=(so(b)|0)==(b|0);c[b+44>>2]=Pp(b,d?17460:17496,c[4353]|0)|0;d=(so(b)|0)==(b|0);c[b+48>>2]=Pp(b,d?17532:17568,c[4353]|0)|0;c[b+52>>2]=Pp(b,17604,c[4353]|0)|0;d=Lp(b)|0;if(!((d|0)!=0?(e=kn(d,0)|0,c[b>>2]=c[b>>2]&15|e<<4,e=c[d+52>>2]|0,bb[c[e>>2]&31](e,b,1)|0,!(a[d+24>>0]&64)):0))lm(b);to(b,b);return b|0}function kn(a,b){a=a|0;b=b|0;var d=0;d=(c[a+64>>2]|0)+24+(b<<3)|0;b=d;b=HN(c[b>>2]|0,c[b+4>>2]|0,1,0)|0;a=z;c[d>>2]=b;c[d+4>>2]=a;z=a;return b|0}function ln(b){b=b|0;var d=0,e=0,f=0,g=0;f=Lp(b)|0;g=(f|0)==0;if(g?(d=b+64|0,(c[(c[c[d>>2]>>2]|0)+16>>2]|0)!=0):0){xo(b,b);g=b+8|0;Cn(b,0,c[g>>2]|0,c[g+4>>2]|0);d=c[d>>2]|0;gb[c[(c[d>>2]|0)+16>>2]&127](c[d+12>>2]|0);d=0}else e=4;do if((e|0)==4){d=Jp(b)|0;while(1){if(!d)break;e=Kp(d)|0;ln(d)|0;d=e}d=co(b)|0;while(1){if(!d)break;e=eo(b,d)|0;po(b,d)|0;d=e}Nn(b);xo(b,b);if(((((Rp(b,c[b+40>>2]|0)|0)==0?(Rp(b,c[b+36>>2]|0)|0)==0:0)?(Rp(b,c[b+48>>2]|0)|0)==0:0)?(Rp(b,c[b+44>>2]|0)|0)==0:0)?(Rp(b,c[b+52>>2]|0)|0)==0:0){if(a[b+24>>0]&64?Em(b)|0:0){d=-1;break}Vo(b);e=b+8|0;Cn(b,0,c[e>>2]|0,c[e+4>>2]|0);if(!g){Mp(f,b)|0;Zn(f,b);d=0;break}d=b+64|0;while(1){e=c[d>>2]|0;f=c[e+48>>2]|0;if(!f)break;Ao(b,c[f>>2]|0)|0}gb[c[(c[e+4>>2]|0)+20>>2]&127](c[e+16>>2]|0);if(!(Wo(b)|0)){d=c[d>>2]|0;g=c[d+12>>2]|0;f=(c[d>>2]|0)+12|0;hb[c[f>>2]&31](g,b);hb[c[f>>2]&31](g,d);d=0}else d=-1}else d=-1}while(0);return d|0}function mn(a){a=a|0;return Sl(c[a+40>>2]|0)|0}function nn(a){a=a|0;var b=0,c=0,d=0;b=0;c=co(a)|0;while(1){if(!c)break;d=(on(a,c,0,1)|0)+b|0;b=d;c=eo(a,c)|0}return b|0}function on(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;f=Qm(a,b)|0;if(f){if(!e)b=0;else b=pn(c[a+44>>2]|0,f+32|0)|0;if(d)b=(pn(c[a+44>>2]|0,f+28|0)|0)+b|0}else b=0;return b|0}function pn(a,b){a=a|0;b=b|0;var d=0;Rl(a,c[b>>2]|0)|0;d=Sl(a)|0;c[b>>2]=Nl(a)|0;return d|0}function qn(b){b=b|0;return a[b+24>>0]&1|0}function rn(a){a=a|0;return (qn(a)|0)==0|0}function sn(a){a=a|0;return (d[a+24>>0]|0)>>>1&1|0}function tn(a,b){a=a|0;b=b|0;return a|0}function un(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;if(!d){f=1328;d=c[f>>2]|0;f=c[f+4>>2]|0;c[e>>2]=d;c[e+4>>2]=f;f=HN(d|0,f|0,2,0)|0;e=1328;c[e>>2]=f;c[e+4>>2]=z}else{if(!f)a=Yo(a,d)|0;else a=$o(a,d)|0;c[e>>2]=a;c[e+4>>2]=0}return 1}function vn(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;return 0}function wn(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;if((c&1|0)==0&0==0)bp(a,c)|0;return}function xn(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;return ((c&1|0)==0&0==0?c:0)|0}function yn(a){a=a|0;return}function zn(a,b,c){a=a|0;b=b|0;c=c|0;return}function An(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0;i=(e|0)!=0;do if(i){if((a[e>>0]|0)!=37?(h=c[b+64>>2]|0,h=db[c[(c[h+4>>2]|0)+4>>2]&3](c[h+16>>2]|0,d,e,f,g)|0,h|0):0)break;h=Fn(b,d,e,f)|0;if(!h)j=5}else j=5;while(0);if((j|0)==5)if(g){h=c[b+64>>2]|0;h=db[c[(c[h+4>>2]|0)+4>>2]&3](c[h+16>>2]|0,d,0,f,g)|0;if(i&(h|0)!=0){j=f;Gn(b,d,e,c[j>>2]|0,c[j+4>>2]|0)}}else h=0;return h|0}function Bn(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;a=c[a+64>>2]|0;return cb[c[(c[a+4>>2]|0)+8>>2]&31](c[a+16>>2]|0,b,d,e)|0}function Cn(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;Ln(a,b,d,e)|0;a=c[a+64>>2]|0;kb[c[(c[a+4>>2]|0)+12>>2]&31](c[a+16>>2]|0,b,d,e);return}function Dn(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;h=l;l=l+16|0;g=h;d=ro(a)|0;f=a+8|0;b=f;b=Jn(d,c[a>>2]&3,c[b>>2]|0,c[b+4>>2]|0)|0;do 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po(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;f=d+8|0;e=f;if(bo(b,c[e>>2]|0,c[e+4>>2]|0)|0){if((so(b)|0)==(b|0)){e=Um(b,d)|0;while(1){if(!e)break;g=Vm(b,e,d)|0;dn(b,e)|0;e=g}if(a[b+24>>0]&64)Gm(d);xo(b,d);Vo(d);g=f;Cn(b,1,c[g>>2]|0,c[g+4>>2]|0)}if(!(wq(b,d,54,0,0)|0))if((so(b)|0)==(b|0)){Zn(b,d);e=0}else e=0;else e=-1}else e=-1;return e|0}function qo(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0;h=l;l=l+16|0;e=h;d=c[b>>2]|0;do if(!(d&3))if((Lp(b)|0)==(a|0)){d=c[b>>2]|0;g=5;break}else{_l(1,81451,e)|0;f=-1;break}else g=5;while(0);a:do if((g|0)==5)switch(d&3){case 1:{f=po(a,b)|0;break a}case 2:case 3:{f=dn(a,b)|0;break a}case 0:{f=ln(b)|0;break a}default:{}}while(0);l=h;return f|0}function ro(a){a=a|0;var b=0;switch(c[a>>2]&3){case 2:case 3:{b=c[(c[a+40>>2]|0)+24>>2]|0;break}case 1:{b=c[a+24>>2]|0;break}case 0:{b=a;break}default:{}}return b|0}function so(a){a=a|0;var b=0;switch(c[a>>2]&3){case 2:case 3:{b=(c[a+40>>2]|0)+24|0;break}case 1:{b=a+24|0;break}case 0:{b=a+60|0;break}default:{}}return 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if(d|0){yo(a,b,c[d+8>>2]|0);switch(c[b>>2]&3){case 0:{e=(c[d>>2]|0)+8|0;break}case 1:{e=(c[d>>2]|0)+20|0;break}case 2:{e=(c[d>>2]|0)+32|0;break}default:break a}e=c[e>>2]|0;if(e|0)ib[e&127](a,b,c[d+4>>2]|0)}while(0);return}function zo(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=Yn(a,12)|0;c[e>>2]=b;c[e+4>>2]=d;d=(c[a+64>>2]|0)+48|0;c[e+8>>2]=c[d>>2];c[d>>2]=e;return}function Ao(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;e=(c[a+64>>2]|0)+48|0;d=c[e>>2]|0;a:do if(!d)d=-1;else{if((c[d>>2]|0)!=(b|0)){while(1){if(!d){d=-1;break a}e=d+8|0;f=c[e>>2]|0;if((c[f>>2]|0)==(b|0))break;else d=f}if(f)c[e>>2]=c[f+8>>2]}else c[e>>2]=c[d+8>>2];Zn(a,d);d=0}while(0);return d|0}function Bo(a,b){a=a|0;b=b|0;var d=0;d=so(a)|0;a:do if((d|0)==(so(b)|0))switch(c[b>>2]&3){case 0:{while(1){if((b|0)==(a|0)){b=1;break a}b=Lp(b)|0;if(!b){b=0;break}}break}case 1:{b=b+8|0;b=(ho(a,c[b>>2]|0,c[b+4>>2]|0,0)|0)!=0;break a}default:{b=(en(a,b,0)|0)!=0;break a}}else b=0;while(0);return b&1|0}function Co(a){a=a|0;return c[a>>2]&3|0}function Do(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0,f=0,g=0,h=0;h=l;l=l+16|0;g=h;f=No(a,81475,44,0)|0;switch(c|0){case 100:{e=Eo(f,b,100)|0;if(!(Fo(e,b)|0))Go(e,a,b,d)|0;break}case 101:{if(((Fo(Eo(f,b,100)|0,b)|0)==0?(Fo(Eo(f,b,102)|0,b)|0)==0:0)?(e=Eo(f,b,101)|0,(Fo(e,b)|0)==0):0)Go(e,a,b,d)|0;break}case 102:{Ho(Eo(f,b,100)|0,b);Ho(Eo(f,b,101)|0,b);e=Eo(f,b,102)|0;if(!(Fo(e,b)|0))Go(e,a,b,d)|0;break}default:_l(1,81487,g)|0}l=h;return}function Eo(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;g=l;l=l+16|0;e=g;a:do switch(c[b>>2]&3){case 0:switch(d|0){case 100:{d=a+8|0;break a}case 101:{d=a+20|0;break a}case 102:{d=a+32|0;break a}default:{f=14;break a}}case 1:switch(d|0){case 100:{d=a+12|0;break a}case 101:{d=a+24|0;break a}case 102:{d=a+36|0;break a}default:{f=14;break a}}case 2:switch(d|0){case 100:{d=a+16|0;break a}case 101:{d=a+28|0;break a}case 102:{d=a+40|0;break a}default:{f=14;break a}}default:f=14}while(0);if((f|0)==14){_l(1,81521,e)|0;d=0}a=c[d>>2]|0;if(!a){a=ro(b)|0;a=Pp(a,17884,c[4353]|0)|0;c[d>>2]=a}l=g;return a|0}function Fo(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=l;l=l+32|0;e=d;f=Io(b)|0;b=e+8|0;c[b>>2]=f;c[b+4>>2]=z;b=bb[c[a>>2]&31](a,e,4)|0;l=d;return b|0}function Go(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;f=Yn(ro(d)|0,32)|0;c[f+20>>2]=d;g=Io(d)|0;d=f+8|0;c[d>>2]=g;c[d+4>>2]=z;c[f+16>>2]=b;if(e|0){g=Yn(b,8)|0;c[f+24>>2]=g;c[g>>2]=e}bb[c[a>>2]&31](a,f,1)|0;return f|0}function Ho(a,b){a=a|0;b=b|0;b=Fo(a,b)|0;if(b|0)bb[c[a>>2]&31](a,b,2)|0;return}function Io(a){a=a|0;a=a+8|0;z=c[a+4>>2]|0;return c[a>>2]|0}function Jo(a,b,d){a=a|0;b=b|0;d=d|0;Ko(b);Zn(c[b+16>>2]|0,b);return}function Ko(a){a=a|0;var b=0,d=0;b=a+16|0;a=c[a+24>>2]|0;while(1){if(!a)break;d=c[a+4>>2]|0;Zn(c[b>>2]|0,a);a=d}return}function Lo(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+16|0;i=k;h=c[b+16>>2]|0;f=h;while(1){if(!f){f=0;break}g=c[f>>2]|0;if((g|0)==(d|0)){j=7;break}if((a[d>>0]|0)==(a[g>>0]|0)?(xJ(d,g)|0)==0:0){j=7;break}f=c[f+4>>2]|0;if((f|0)==(h|0)){f=0;break}}do if((j|0)==7){if(!(c[b>>2]&4)){if((f|0)==(h|0)&(e|0)==0){f=h;break}Mo(b,f,e);break}if(e)if((h|0)==(f|0))f=h;else _l(1,81546,i)|0}while(0);l=k;return f|0}function Mo(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;c[a+16>>2]=b;e=c[a>>2]|0;d=d<<2&4;c[a>>2]=e&-5|d;if(e&2|0){e=(e&3|0)==3?-1:1;c[a+(e*48|0)+16>>2]=b;e=a+(e*48|0)|0;c[e>>2]=c[e>>2]&-5|d}return}function No(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;h=ro(a)|0;f=Lo(a,b,0)|0;a:do if((d|0)!=0&(f|0)==0){d=Yn(h,d)|0;c[d>>2]=$o(h,b)|0;switch(c[a>>2]&3){case 0:{Oo(a,d);g=d;break a}case 1:{Oo(a,d);g=d;break a}case 2:case 3:{Oo(a,d);g=d;break a}default:{}}}else g=f;while(0);if(e|0)Lo(a,b,1)|0;return g|0}function Oo(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=c[a+16>>2]|0;do if(d){e=d+4|0;f=c[e>>2]|0;if((f|0)==(d|0)){c[e>>2]=b;e=d;d=b;break}else{c[b+4>>2]=f;e=b;break}}else{e=b;d=b}while(0);c[d+4>>2]=e;if(!(c[a>>2]&4))Mo(a,b,0);return}function Po(a,b){a=a|0;b=b|0;var d=0,e=0;e=ro(a)|0;d=Lo(a,b,0)|0;if(!d)b=-1;else{Qo(a,d);if(!(c[a>>2]&3)){Ro(e,a,d);b=d}else{wq(so(e)|0,a,55,d,0)|0;b=d}bp(e,c[d>>2]|0)|0;Zn(e,b);b=0}return b|0}function Qo(a,b){a=a|0;b=b|0;var d=0;a=c[a+16>>2]|0;do{d=a+4|0;a=c[d>>2]|0}while((a|0)!=(b|0));c[d>>2]=c[b+4>>2];return}function Ro(a,b,d){a=a|0;b=b|0;d=d|0;if((c[b+16>>2]|0)==(d|0)){a=c[d+4>>2]|0;Mo(b,(a|0)==(d|0)?0:a,0)}return}function So(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;var f=0,g=0;f=(d|0)>-1;g=f?d:0-d|0;a:do switch(b|0){case 0:{No(a,c,g,e)|0;if(!f){b=Jp(a)|0;while(1){if(!b)break a;So(b,0,c,d,e);b=Kp(b)|0}}break}case 3:case 2:case 1:{d=(b|0)==1;b=co(a)|0;while(1){if(!b)break a;b:do if(d)No(b,c,g,e)|0;else{f=Pm(a,b)|0;while(1){if(!f)break b;No(f,c,g,e)|0;f=Rm(a,f)|0}}while(0);b=eo(a,b)|0}}default:{}}while(0);return}function To(a,b,c){a=a|0;b=b|0;c=c|0;var d=0,e=0;a:do switch(b|0){case 0:{wq(a,a,56,c,1)|0;break}case 3:case 2:case 1:{e=(b|0)==1;d=co(a)|0;while(1){if(!d)break a;b:do if(e)Po(d,c)|0;else{b=Pm(a,d)|0;while(1){if(!b)break b;Po(b,c)|0;b=Rm(a,b)|0}}while(0);d=eo(a,d)|0}}default:{}}while(0);return}function Uo(a,b,c){a=a|0;b=b|0;c=c|0;Po(b,c)|0;return}function Vo(a){a=a|0;var b=0,d=0,e=0;d=ro(a)|0;b=a+16|0;a=c[b>>2]|0;if(a|0)do{e=a;a=c[a+4>>2]|0;bp(d,c[e>>2]|0)|0;Zn(d,e)}while((a|0)!=(c[b>>2]|0));c[b>>2]=0;return}function Wo(a){a=a|0;return Rp(a,Xo(a)|0)|0}function Xo(a){a=a|0;var b=0,d=0;if(!a)d=168024;else d=(c[a+64>>2]|0)+20|0;b=c[d>>2]|0;if(!b){b=Pp(a,17920,c[4353]|0)|0;c[d>>2]=b;a=167096;c[a>>2]=-2147483648;c[a+4>>2]=0;a=167104;c[a>>2]=2147483647;c[a+4>>2]=-1}return b|0}function Yo(a,b){a=a|0;b=b|0;return Zo(Xo(a)|0,b)|0}function Zo(a,b){a=a|0;b=b|0;a=_o(a,b)|0;if(!a)a=0;else a=c[a+16>>2]|0;return a|0}function _o(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+32|0;e=d;c[e+16>>2]=b;b=bb[c[a>>2]&31](a,e,4)|0;l=d;return b|0}function $o(a,b){a=a|0;b=b|0;var d=0,e=0;if(!b)d=0;else{e=Xo(a)|0;d=_o(e,b)|0;if(!d){d=(rJ(b)|0)+24|0;if(!a)d=ZI(d)|0;else d=Yn(a,d)|0;a=d+8|0;c[a>>2]=1;c[a+4>>2]=0;a=d+20|0;xK(a,b)|0;c[d+16>>2]=a;bb[c[e>>2]&31](e,d,1)|0}else{e=d+8|0;b=e;b=HN(c[b>>2]|0,c[b+4>>2]|0,1,0)|0;c[e>>2]=b;c[e+4>>2]=z}d=c[d+16>>2]|0}return d|0}function ap(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;if(!b)d=0;else{e=Xo(a)|0;d=_o(e,b)|0;if(!d){d=(rJ(b)|0)+24|0;if(!a)d=ZI(d)|0;else d=Yn(a,d)|0;g=167096;f=c[g+4>>2]|0;a=d+8|0;c[a>>2]=c[g>>2]|1;c[a+4>>2]=f;a=d+20|0;xK(a,b)|0;c[d+16>>2]=a;bb[c[e>>2]&31](e,d,1)|0}else{g=d+8|0;f=g;f=HN(c[f>>2]|0,c[f+4>>2]|0,1,0)|0;c[g>>2]=f;c[g+4>>2]=z}d=c[d+16>>2]|0}return d|0}function bp(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;if((b|0)!=0?(d=Xo(a)|0,e=_o(d,b)|0,(e|0)!=0):0)if((c[e+16>>2]|0)==(b|0)?(b=e+8|0,g=b,g=HN(c[g>>2]|0,c[g+4>>2]|0,-1,-1)|0,f=z,b,c[b>>2]=g,c[b+4>>2]=f,b=167104,(g|0)==0&(f|0)==0|(c[b>>2]|0)==0&(c[b+4>>2]|0)==0):0){Qp(a,d,e)|0;a=0}else a=0;else a=-1;return a|0}function cp(a){a=a|0;var b=0;if(!a)a=0;else{a=a+-12|0;b=167096;a=c[b>>2]&c[a>>2]}return a|0}function dp(a){a=a|0;var b=0,d=0,e=0;if(a|0){d=167096;a=a+-12|0;e=a;b=c[e+4>>2]|c[d+4>>2];c[a>>2]=c[e>>2]|c[d>>2];c[a+4>>2]=b}return}function ep(a){a=a|0;c[4489]=a;return}function fp(a){a=a|0;c[42011]=a;c[4489]=1;return}function gp(a,b){a=a|0;b=b|0;c[42012]=a;c[42013]=b;c[42014]=0;return}function hp(){var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0;if(!(c[42015]|0)){c[42015]=1;if(!(c[42016]|0))c[42016]=1;if(!(c[42007]|0))c[42007]=c[13853];if(!(c[42008]|0))c[42008]=c[13885];k=c[42017]|0;if(!((k|0)!=0?(c[k>>2]|0)!=0:0)){ip();k=jp(c[42007]|0,16384)|0;c[c[42017]>>2]=k}kp()}a:while(1){j=c[42018]|0;a[j>>0]=a[173927]|0;e=(c[(c[c[42017]>>2]|0)+28>>2]|0)+(c[42016]|0)|0;f=j;b:while(1){h=f;while(1){f=c[17960+(d[h>>0]<<2)>>2]|0;if(b[56680+(e<<1)>>1]|0){c[42019]=e;c[42020]=h}c:while(1){g=f&255;do{f=g+(b[56866+(e<<1)>>1]|0)|0;if((e|0)==(b[57076+(f<<1)>>1]|0))break c;k=b[57612+(e<<1)>>1]|0;e=k<<16>>16}while(k<<16>>16<=92);f=c[18984+(g<<2)>>2]|0}e=b[57822+(f<<1)>>1]|0;f=h+1|0;if((b[56866+(e<<1)>>1]|0)==219)break;else h=f}d:while(1){k=j;e:while(1){e=b[56680+(e<<1)>>1]|0;if(!(e<<16>>16)){e=b[56680+(c[42019]<<1)>>1]|0;f=c[42020]|0}else e=e<<16>>16;c[42009]=j;i=f;c[42010]=i-k;a[173927]=a[f>>0]|0;a[f>>0]=0;c[42018]=f;f:while(1){switch(e|0){case 1:{m=27;break a}case 12:{m=53;break a}case 13:{m=55;break a}case 14:{m=57;break a}case 15:{m=61;break a}case 16:{m=65;break a}case 17:{m=67;break a}case 18:{m=69;break a}case 19:{m=72;break a}case 20:{m=75;break a}case 21:{m=78;break a}case 23:{m=86;break a}case 33:{m=118;break a}case 39:case 38:case 37:case 36:{l=0;break a}case 2:{m=29;break b}case 3:{m=32;break b}case 4:{m=35;break b}case 5:{m=37;break b}case 6:{m=39;break b}case 7:{m=42;break b}case 8:{m=44;break b}case 9:{m=47;break b}case 10:{m=49;break b}case 11:{m=51;break b}case 22:{m=83;break b}case 24:{m=89;break b}case 25:{m=92;break b}case 26:{m=95;break b}case 27:{m=98;break b}case 28:{m=101;break b}case 29:{m=104;break b}case 30:{m=109;break b}case 31:{m=112;break b}case 32:{m=115;break b}case 34:{m=121;break b}case 0:break f;case 35:break;default:{m=134;break a}}h=c[42009]|0;a[f>>0]=a[173927]|0;e=c[42017]|0;g=c[e>>2]|0;if(!(c[g+44>>2]|0)){n=c[g+16>>2]|0;c[42022]=n;c[g>>2]=c[42007];g=c[e>>2]|0;c[g+44>>2]=1;e=n}else e=c[42022]|0;if((c[42018]|0)>>>0<=((c[g+4>>2]|0)+e|0)>>>0){m=128;break e}switch(tp()|0){case 0:{m=132;break d}case 2:{m=133;break e}case 1:break;default:continue a}c[42018]=c[42009];e=(((c[42016]|0)+-1|0)/2|0)+36|0}a[f>>0]=a[173927]|0;f=c[42020]|0;e=c[42019]|0}if((m|0)==128){m=0;g=i-h|0;h=c[42009]|0;f=h+(g+-1)|0;c[42018]=f;e=rp()|0;i=sp(e)|0;j=c[42009]|0;if(!i)continue;else{m=129;break}}else if((m|0)==133){m=0;f=(c[(c[c[42017]>>2]|0)+4>>2]|0)+(c[42022]|0)|0;c[42018]=f;e=rp()|0;j=c[42009]|0;continue}}if((m|0)==129){m=0;f=h+g|0;c[42018]=f;e=i;continue}else if((m|0)==132){m=0;f=(c[42009]|0)+(i-h+-1)|0;c[42018]=f;e=rp()|0;j=c[42009]|0;continue}}switch(m|0){case 29:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;c[4489]=(c[4489]|0)+1;continue a}case 32:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;c[42016]=3;continue a}case 35:{m=0;e=c[42010]|0;if(!e)continue a;c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;continue a}case 37:{m=0;e=c[42010]|0;if(!e)continue a;c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;continue a}case 39:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;c[42016]=1;continue a}case 42:{m=0;e=c[42010]|0;if(!e)continue a;c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;continue a}case 44:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;lp();continue a}case 47:{m=0;e=c[42010]|0;if(!e)continue a;c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;continue a}case 49:{m=0;e=c[42010]|0;if(!e)continue a;c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;continue a}case 51:{m=0;e=c[42010]|0;if(!e)continue a;c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;continue a}case 83:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;c[42016]=5;np();continue a}case 89:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;pp(83714);continue a}case 92:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;pp(81579);continue a}case 95:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;c[4489]=(c[4489]|0)+1;continue a}case 98:{m=0;f=c[42010]|0;e=c[42009]|0;if(f|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[e+(f+-1)>>0]|0)==10&1;pp(e);continue a}case 101:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;c[42016]=7;c[42021]=1;np();continue a}case 104:{m=0;e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;n=(c[42021]|0)+-1|0;c[42021]=n;if(!n){m=108;break a}pp(c[42009]|0);continue a}case 109:{m=0;f=c[42010]|0;e=c[42009]|0;if(f|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[e+(f+-1)>>0]|0)==10&1;c[42021]=(c[42021]|0)+1;pp(e);continue a}case 112:{m=0;f=c[42010]|0;e=c[42009]|0;if(f|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[e+(f+-1)>>0]|0)==10&1;pp(e);c[4489]=(c[4489]|0)+1;continue a}case 115:{m=0;f=c[42010]|0;e=c[42009]|0;if(f|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[e+(f+-1)>>0]|0)==10&1;pp(e);continue a}case 121:{m=0;f=c[42010]|0;e=c[42009]|0;if(f|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[e+(f+-1)>>0]|0)==10&1;XL(e,f,1,c[42008]|0)|0;continue a}}}switch(m|0){case 27:{e=c[42010]|0;if(!e)l=-1;else{c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;l=-1}break}case 53:{e=c[42010]|0;if(!e)l=259;else{c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;l=259}break}case 55:{e=c[42010]|0;if(!e)l=260;else{c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;l=260}break}case 57:{e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;if(!(c[42014]|0)){c[42014]=258;l=258}else l=258;break}case 61:{e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;if(!(c[42014]|0)){c[42014]=261;l=261}else l=261;break}case 65:{e=c[42010]|0;if(!e)l=263;else{c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;l=263}break}case 67:{e=c[42010]|0;if(!e)l=262;else{c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;l=262}break}case 69:{e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;l=(c[42014]|0)==261?264:45;break}case 72:{e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;l=(c[42014]|0)==258?264:45;break}case 75:{f=c[42010]|0;e=c[42009]|0;if(f|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[e+(f+-1)>>0]|0)==10&1;c[42037]=$o(c[41987]|0,e)|0;l=267;break}case 78:{e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;if(mp()|0){m=(c[42010]|0)+-1|0;a[f>>0]=a[173927]|0;n=j+m|0;c[42018]=n;c[42009]=j;c[42010]=m;a[173927]=a[n>>0]|0;a[n>>0]=0;c[42018]=n}c[42037]=$o(c[41987]|0,c[42009]|0)|0;l=267;break}case 86:{e=c[42010]|0;if(e|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[(c[42009]|0)+(e+-1)>>0]|0)==10&1;c[42016]=1;op();l=268;break}case 108:{c[42016]=1;qp();l=268;break}case 118:{f=c[42010]|0;e=c[42009]|0;if(f|0)c[(c[c[42017]>>2]|0)+28>>2]=(a[e+(f+-1)>>0]|0)==10&1;l=a[e>>0]|0;break}case 134:{up(81582);break}}return l|0}function ip(){var a=0,b=0,d=0;b=c[42017]|0;do if(!b){a=Bp(4)|0;c[42017]=a;if(!a)up(81940);else{c[a>>2]=0;a=1;d=9;break}}else{a=c[42028]|0;if(0>=(a+-1|0)>>>0){a=a+8|0;b=vp(b,a<<2)|0;c[42017]=b;if(!b)up(81940);else{d=b+(c[42028]<<2)|0;c[d>>2]=0;c[d+4>>2]=0;c[d+8>>2]=0;c[d+12>>2]=0;c[d+16>>2]=0;c[d+20>>2]=0;c[d+24>>2]=0;c[d+28>>2]=0;d=9;break}}}while(0);if((d|0)==9)c[42028]=a;return}function jp(a,b){a=a|0;b=b|0;var d=0;d=Bp(48)|0;if(!d)up(81895);c[d+12>>2]=b;b=Bp(b+2|0)|0;c[d+4>>2]=b;if(!b)up(81895);else{c[d+20>>2]=1;xp(d,a);return d|0}return 0}function kp(){var b=0,d=0;d=c[42017]|0;b=c[d>>2]|0;c[42022]=c[b+16>>2];b=c[b+8>>2]|0;c[42018]=b;c[42009]=b;c[42007]=c[c[d>>2]>>2];a[173927]=a[b>>0]|0;return}function lp(){var b=0,d=0,e=0,f=0,g=0,h=0,i=0;g=l;l=l+32|0;f=g;d=g+16|0;e=g+12|0;h=c[42009]|0;b=h+1|0;i=(VJ(b,81879,4)|0)==0;b=i?h+5|0:b;c[f>>2]=e;c[f+4>>2]=g+20;c[f+8>>2]=d;f=cM(b,81884,f)|0;if((f|0)>0?(c[4489]=(c[e>>2]|0)+-1,(f|0)!=1):0){d=b+(c[d>>2]|0)|0;b=d;a:while(1){e=a[b>>0]|0;switch(e<<24>>24){case 0:case 34:break a;default:{}}b=b+1|0}if((b|0)!=(d|0)&e<<24>>24==34){a[b>>0]=0;Ap(d,b-d|0)}}l=g;return}function mp(){var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;j=l;l=l+2080|0;i=j+8|0;f=j;b=j+1056|0;d=j+32|0;h=j+16|0;k=a[(c[42009]|0)+((c[42010]|0)+-1)>>0]|0;e=k<<24>>24==46;if(e|((k&255)+-48|0)>>>0<10)if(e?(zp()|0)!=0:0)g=4;else b=0;else g=4;if((g|0)==4){k=c[42011]|0;cm(h,1024,b);fm(h,81790)|0;fm(h,c[42009]|0)|0;c[f>>2]=c[4489];pL(d,81834,f)|0;fm(h,d)|0;fm(h,(k|0)==0?81784:k)|0;fm(h,81851)|0;d=h+4|0;b=c[d>>2]|0;if(b>>>0>=(c[h+8>>2]|0)>>>0){dm(h,1)|0;b=c[d>>2]|0}a[b>>0]=0;b=c[h>>2]|0;c[d>>2]=b;c[i>>2]=b;_l(0,81876,i)|0;gm(h);b=1}l=j;return b|0}function np(){var b=0;b=c[42023]|0;if(!b){b=ZI(1024)|0;c[42023]=b;c[42025]=b+1024}c[42024]=b;a[b>>0]=0;return}function op(){c[42037]=$o(c[41987]|0,c[42023]|0)|0;a[c[42023]>>0]=0;return}function pp(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;e=c[42024]|0;d=c[42023]|0;if(e>>>0>d>>>0){e=e+-1|0;f=3}a:while(1){if((f|0)==3)c[42024]=e;f=c[42025]|0;g=f;do{h=b;b=b+1|0;h=a[h>>0]|0;i=e;e=e+1|0;a[i>>0]=h;if(!(h<<24>>24))break a}while(e>>>0<f>>>0);c[42024]=e;f=d;i=g-f<<1;d=aJ(d,i)|0;c[42023]=d;c[42025]=d+i;e=d+(e-f)|0;f=3}c[42024]=e;return}function qp(){c[42037]=ap(c[41987]|0,c[42023]|0)|0;a[c[42023]>>0]=0;return}function rp(){var d=0,e=0,f=0,g=0,h=0;h=c[42018]|0;g=c[42009]|0;e=(c[(c[c[42017]>>2]|0)+28>>2]|0)+(c[42016]|0)|0;while(1){if(g>>>0>=h>>>0)break;d=a[g>>0]|0;if(!(d<<24>>24))d=1;else d=c[17960+((d&255)<<2)>>2]|0;if(b[56680+(e<<1)>>1]|0){c[42019]=e;c[42020]=g}a:while(1){f=d&255;do{d=f+(b[56866+(e<<1)>>1]|0)|0;if((e|0)==(b[57076+(d<<1)>>1]|0))break a;d=b[57612+(e<<1)>>1]|0;e=d<<16>>16}while(d<<16>>16<=92);d=c[18984+(f<<2)>>2]|0}g=g+1|0;e=b[57822+(d<<1)>>1]|0}return e|0}function sp(a){a=a|0;var d=0;if(b[56680+(a<<1)>>1]|0){d=c[42018]|0;c[42019]=a;c[42020]=d}while(1){d=(b[56866+(a<<1)>>1]|0)+1|0;if((a|0)==(b[57076+(d<<1)>>1]|0))break;a=b[57612+(a<<1)>>1]|0}d=b[57822+(d<<1)>>1]|0;return (d<<16>>16==92?0:d<<16>>16)|0}function tp(){var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;j=c[42017]|0;g=c[j>>2]|0;i=c[g+4>>2]|0;f=c[42009]|0;l=c[42018]|0;k=l;if(l>>>0>(i+((c[42022]|0)+1)|0)>>>0)up(81637);h=k-f|0;if(!(c[g+40>>2]|0))b=(h|0)==1?1:2;else{l=h+-1|0;h=i;g=0;while(1){if((g|0)>=(l|0))break;a[h>>0]=a[f>>0]|0;h=h+1|0;f=f+1|0;g=g+1|0}f=c[j>>2]|0;do if((c[f+44>>2]|0)==2){c[42022]=0;c[f+16>>2]=0;e=f;m=17}else{while(1){i=f+12|0;h=c[i>>2]|0;g=h-l+-1|0;if(g|0){m=16;break}g=f+4|0;j=c[g>>2]|0;if(!(c[f+20>>2]|0)){m=12;break}f=h<<1;f=(f|0)==0?(h>>>3)+h|0:f;c[i>>2]=f;f=vp(j,f+2|0)|0;c[g>>2]=f;if(!f)break;j=f+(k-j)|0;c[42018]=j;f=c[c[42017]>>2]|0;k=j}if((m|0)==12)c[g>>2]=0;else if((m|0)==16){d=bb[c[c[(c[42012]|0)+8>>2]>>2]&31](c[42013]|0,(c[f+4>>2]|0)+l|0,g>>>0<8192?g:8192)|0;e=c[c[42017]>>2]|0;c[42022]=d;c[e+16>>2]=d;if(!d){m=17;break}else{b=0;break}}up(81693)}while(0);do if((m|0)==17)if(!l){wp(c[42007]|0);b=1;d=c[42022]|0;e=c[c[42017]>>2]|0;break}else{c[e+44>>2]=2;b=2;d=0;break}while(0);f=d+l|0;do if(f>>>0>(c[e+12>>2]|0)>>>0){m=vp(c[e+4>>2]|0,f+(d>>>1)|0)|0;d=c[42017]|0;c[(c[d>>2]|0)+4>>2]=m;d=c[(c[d>>2]|0)+4>>2]|0;if(!d)up(81737);else{n=c[42022]|0;o=d;break}}else{n=d;o=c[e+4>>2]|0}while(0);n=n+l|0;c[42022]=n;a[o+n>>0]=0;o=c[42017]|0;a[(c[(c[o>>2]|0)+4>>2]|0)+((c[42022]|0)+1)>>0]=0;c[42009]=c[(c[o>>2]|0)+4>>2]}return b|0}function up(a){a=a|0;var b=0,d=0;b=l;l=l+16|0;d=c[13918]|0;c[b>>2]=a;zL(d,81633,b)|0;Ma(2)}function vp(a,b){a=a|0;b=b|0;return aJ(a,b)|0}function wp(a){a=a|0;var b=0,d=0,e=0;d=c[42017]|0;if((d|0)!=0?(b=c[d>>2]|0,(b|0)!=0):0)e=4;else{ip();b=jp(c[42007]|0,16384)|0;d=c[42017]|0;c[d>>2]=b;if(!d)b=0;else e=4}xp(b,a);kp();return}function xp(a,b){a=a|0;b=b|0;var d=0;d=c[(jJ()|0)>>2]|0;yp(a);c[a>>2]=b;c[a+40>>2]=1;b=c[42017]|0;if(!b)b=0;else b=c[b>>2]|0;if((b|0)!=(a|0)){c[a+32>>2]=1;c[a+36>>2]=0}c[a+24>>2]=0;c[(jJ()|0)>>2]=d;return}function yp(b){b=b|0;var d=0;if(b|0){c[b+16>>2]=0;d=b+4|0;a[c[d>>2]>>0]=0;a[(c[d>>2]|0)+1>>0]=0;c[b+8>>2]=c[d>>2];c[b+28>>2]=1;c[b+44>>2]=0;d=c[42017]|0;if(!d)d=0;else d=c[d>>2]|0;if((d|0)==(b|0))kp()}return}function zp(){var b=0,d=0;d=c[42009]|0;b=(c[42010]|0)+-2|0;while(1){if((b|0)<=-1){b=0;break}if((a[d+b>>0]|0)==46){b=1;break}else b=b+-1|0}return b|0}function Ap(a,b){a=a|0;b=b|0;var d=0;d=c[42026]|0;if((d|0)<(b|0)){if(!d)d=ZI(b+1|0)|0;else d=aJ(c[42027]|0,b+1|0)|0;c[42027]=d;c[42026]=b}else d=c[42027]|0;xK(d,a)|0;c[42011]=c[42027];return}function Bp(a){a=a|0;return ZI(a)|0}function Cp(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+2112|0;k=m+32|0;i=m+24|0;h=m+16|0;g=m+8|0;f=m;d=m+56|0;j=m+40|0;cm(j,1024,m+1080|0);e=c[42011]|0;if(e|0){fm(j,e)|0;fm(j,81990)|0}fm(j,b)|0;c[f>>2]=c[4489];pL(d,81993,f)|0;fm(j,d)|0;a:do if(!(a[c[42009]>>0]|0))switch(((c[42016]|0)+-1|0)/2|0|0){case 2:{c[g>>2]=16384;pL(d,82013,g)|0;fm(j,d)|0;b=c[42023]|0;if(!(a[b>>0]|0))break a;i=rJ(b)|0;fm(j,82075)|0;b=c[42023]|0;if((i|0)>80)a[b+80>>0]=0;fm(j,b)|0;break a}case 3:{c[h>>2]=16384;pL(d,82094,h)|0;fm(j,d)|0;b=c[42023]|0;if(!(a[b>>0]|0))break a;i=rJ(b)|0;fm(j,82162)|0;b=c[42023]|0;if((i|0)>80)a[b+80>>0]=0;fm(j,b)|0;break a}case 1:{c[i>>2]=16384;pL(d,82181,i)|0;fm(j,d)|0;break a}default:break a}else{fm(j,82005)|0;fm(j,c[42009]|0)|0;d=j+4|0;b=c[d>>2]|0;if(b>>>0>=(c[j+8>>2]|0)>>>0){dm(j,1)|0;b=c[d>>2]|0}c[d>>2]=b+1;a[b>>0]=39}while(0);e=j+4|0;b=c[e>>2]|0;d=j+8|0;if(b>>>0>=(c[d>>2]|0)>>>0){dm(j,1)|0;b=c[e>>2]|0}c[e>>2]=b+1;a[b>>0]=10;b=c[e>>2]|0;if(b>>>0>=(c[d>>2]|0)>>>0){dm(j,1)|0;b=c[e>>2]|0}a[b>>0]=0;i=c[j>>2]|0;c[e>>2]=i;c[k>>2]=i;_l(1,81876,k)|0;gm(j);l=m;return}function Dp(){Ep(c[42009]|0);return}function Ep(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;j=c[42018]|0;a[j>>0]=a[173927]|0;i=c[42017]|0;e=c[i>>2]|0;d=c[e+4>>2]|0;if(j>>>0<(d+2|0)>>>0){f=d+((c[42022]|0)+2)|0;g=d+((c[e+12>>2]|0)+2)|0;k=d;h=e;while(1){if(f>>>0<=k>>>0)break;e=f+-1|0;k=g+-1|0;a[k>>0]=a[e>>0]|0;h=c[i>>2]|0;f=e;g=k;k=c[h+4>>2]|0}e=g-f|0;d=j+e|0;j=c[h+12>>2]|0;c[42022]=j;c[h+16>>2]=j;if(d>>>0<(k+2|0)>>>0)up(82240);else{l=b+e|0;m=d}}else{l=b;m=j}b=m+-1|0;a[b>>0]=64;c[42009]=l;a[173927]=a[b>>0]|0;c[42018]=b;return}function Fp(){var a=0;a=c[42017]|0;if(!a)a=0;else a=c[a>>2]|0;yp(a);return}function Gp(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;e=l;l=l+80|0;f=e;g=a+52|0;Sp(a,c[g>>2]|0,17604);a=f+8|0;c[a>>2]=b;c[a+4>>2]=d;d=c[g>>2]|0;d=bb[c[d>>2]&31](d,f,4)|0;l=e;return d|0}function Hp(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;f=Gp(b,d,e)|0;if(!f){f=Yn(b,72)|0;c[f+64>>2]=c[b+64>>2];g=f+24|0;h=c[b+24>>2]|0;c[g>>2]=h;a[g>>0]=h&255&-9;c[f+56>>2]=b;c[f+60>>2]=c[b+60>>2];b=f+8|0;c[b>>2]=d;c[b+4>>2]=e;jn(f)|0}return f|0}function Ip(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;g=l;l=l+16|0;f=g;if(!(((b|0)!=0?(An(a,0,b,f,0)|0)!=0:0)?(e=f,e=Gp(a,c[e>>2]|0,c[e+4>>2]|0)|0,(e|0)!=0):0))if((d|0)!=0?(An(a,0,b,f,1)|0)!=0:0){e=f;e=Hp(a,c[e>>2]|0,c[e+4>>2]|0)|0;En(a,0,e)}else e=0;l=g;return e|0}function Jp(a){a=a|0;a=c[a+52>>2]|0;return bb[c[a>>2]&31](a,0,128)|0}function Kp(a){a=a|0;var b=0;b=Lp(a)|0;if(!b)a=0;else{b=c[b+52>>2]|0;a=bb[c[b>>2]&31](b,a,8)|0}return a|0}function Lp(a){a=a|0;return c[a+56>>2]|0}function Mp(a,b){a=a|0;b=b|0;a=c[a+52>>2]|0;return bb[c[a>>2]&31](a,b,2)|0}function Np(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;a=c[42029]|0;e=(b|0)!=0;do if(!a)if(e){_I(b);a=0;break}else{a=ZI(d)|0;break}else if(e){Zn(a,b);a=0;break}else{a=Yn(a,d)|0;break}while(0);return a|0}function Op(a,b,d){a=a|0;b=b|0;d=d|0;a=c[42029]|0;if(!a)_I(b);else Zn(a,b);return}function Pp(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=b+28|0;f=c[e>>2]|0;c[e>>2]=2;c[42029]=a;d=Ql(b,d)|0;c[e>>2]=f;c[42029]=0;return d|0}function Qp(a,b,d){a=a|0;b=b|0;d=d|0;c[42029]=a;return bb[c[b>>2]&31](b,d,2)|0}function Rp(a,b){a=a|0;b=b|0;var d=0,e=0;d=(Ll(b,0,0)|0)+28|0;e=c[d>>2]|0;c[d>>2]=2;c[42029]=a;if(!(Kl(b)|0)){c[d>>2]=e;c[42029]=0;a=0}else a=1;return a|0}function Sp(a,b,c){a=a|0;b=b|0;c=c|0;if(c|0?(Ll(b,0,0)|0)!=(c|0):0)Ll(b,c,0)|0;return}function Tp(a,b){a=a|0;b=b|0;if(!(cp(a)|0))b=Vp(a,b)|0;else Up(a,b)|0;return b|0}function Up(b,c){b=b|0;c=c|0;var d=0,e=0,f=0;a[c>>0]=60;e=c;while(1){d=e+1|0;f=a[b>>0]|0;if(!(f<<24>>24))break;a[d>>0]=f;b=b+1|0;e=d}a[d>>0]=62;a[e+2>>0]=0;return c|0}function Vp(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0;a:do if((b|0)!=0?(a[b>>0]|0)!=0:0){a[d>>0]=34;l=a[b>>0]|0;q=0;g=((l+-45&255)<2|((l&255)+-48|0)>>>0<10)&1;h=0;i=0;j=0;e=d+1|0;f=b+1|0;b:while(1){k=e;while(1){if(!(l<<24>>24))break b;e=l&255;c:do if(l<<24>>24==34){a[k>>0]=92;m=g;n=1;k=k+1|0}else{if(!g){n=l<<24>>24>-1&(l<<24>>24!=95&(gK(e)|0)==0);m=0;n=n?1:h;break}switch(l<<24>>24){case 45:{n=(j|0)==0;m=n?g:0;n=n?h:1;break c}case 46:{n=(i|0)==0;m=n?g:0;n=n?h:1;i=i+1|0;break c}default:{n=(e+-48|0)>>>0<10;m=n?g:0;n=n?h:1;break c}}}while(0);e=k+1|0;a[k>>0]=l;p=f+1|0;o=a[f>>0]|0;j=j+1|0;f=c[4795]|0;if(!f){g=m;h=n;k=e;f=p;l=o;continue}g=o&255;h=o<<24>>24!=0;if((q&h?!(l<<24>>24==92|l<<24>>24>-1&((l+-45&255)>1&(gK(l<<24>>24)|0)==0)^1):0)?!(o<<24>>24>-1&((o+-45&255)>1&(gK(g)|0)==0)):0)break;if((j|0)<(f|0)|h^1){g=m;h=n;k=e;f=p;l=o;continue}if(l<<24>>24==92|l<<24>>24>-1&((gK(l<<24>>24)|0)==0&(l+-45&255)>1)^1){q=1;g=m;h=n;l=o;f=p;continue b}if(o<<24>>24>-1&((o+-45&255)>1&(gK(g)|0)==0)){q=1;g=m;h=n;l=o;f=p;continue b}a[e>>0]=92;a[k+2>>0]=10;g=m;h=1;j=0;k=k+3|0;f=p;l=o}a[e>>0]=92;a[k+2>>0]=10;q=0;g=m;h=1;j=0;l=o;e=k+3|0;f=p}a[k>>0]=34;a[k+1>>0]=0;if(!h){if((j|0)==1?((a[b>>0]|0)+-45&255)<2:0){b=d;break}else e=19184;while(1){f=c[e>>2]|0;if(!f)break a;if(!(iK(f,b)|0)){b=d;break}else e=e+4|0}}else b=d}else b=82272;while(0);return b|0}function Wp(a){a=a|0;return Tp(a,Xp(a)|0)|0}function Xp(a){a=a|0;var b=0;b=((rJ(a)|0)<<1)+2|0;b=b>>>0>1024?b:1024;a=c[42031]|0;if(b>>>0>(c[42030]|0)>>>0){if(!a)a=ZI(b)|0;else a=aJ(a,b)|0;c[42031]=a;c[42030]=b}return a|0}function Yp(a,b){a=a|0;b=b|0;a=Jp(a)|0;while(1){if(!a){a=0;break}if((Zp(a)|0)==0?io(a,b,0)|0:0){a=1;break}a=Kp(a)|0}return a|0}function Zp(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;h=Dn(b)|0;if((h|0)!=0?(a[h>>0]|0)!=37:0)d=0;else e=3;a:do if((e|0)==3){d=om(b)|0;b:do if(d|0?(f=om(Lp(b)|0)|0,f|0):0){h=Sl(c[(om(so(b)|0)|0)+8>>2]|0)|0;g=d+12|0;e=f+12|0;d=0;while(1){if((d|0)>=(h|0))break b;f=c[(c[g>>2]|0)+(d<<2)>>2]|0;if((f|0?(i=c[(c[e>>2]|0)+(d<<2)>>2]|0,i|0):0)?xJ(f,i)|0:0){d=0;break a}d=d+1|0}}while(0);d=jm(b,0)|0;if(d)if((Sl(c[d+8>>2]|0)|0)>0)d=0;else return (Sl(c[d+12>>2]|0)|0)<1|0;else d=1}while(0);return d|0}function _p(b,d){b=b|0;d=d|0;var e=0,f=0;c[42032]=0;e=Im(b,82282)|0;if((e|0?((a[e>>0]|0)+-48|0)>>>0<10:0)?(f=BL(e,0,10)|0,(f|0)==0|(f|0)>59):0)c[4795]=f;$p(b,1);if(((aq(b,d,1)|0)!=-1?(bq(b,d)|0)!=-1:0)?(cq(b,d)|0)!=-1:0){c[4795]=128;b=$a[c[(c[(c[b+64>>2]|0)+8>>2]|0)+8>>2]&31](d)|0}else b=-1;return b|0}function $p(a,b){a=a|0;b=b|0;var d=0;c[a>>2]=c[a>>2]&-9;d=Jp(a)|0;while(1){if(!d)break;$p(d,0);d=Kp(d)|0}a:do if(b|0){b=co(a)|0;while(1){if(!b)break a;c[b>>2]=c[b>>2]&-9;d=Pm(a,b)|0;while(1){if(!d)break;c[d>>2]=c[d>>2]&-9;d=Rm(a,d)|0}b=eo(a,b)|0}}while(0);return}function aq(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;if((e|0)==0?(Lp(b)|0)!=0:0){i=0;g=174181;k=94336}else{k=(a[b+24>>0]&1)==0?174181:82326;g=(sn(b)|0)==0;c[42033]=ym(b,2,96242,0)|0;c[42034]=ym(b,2,96251,0)|0;i=1;g=g?174181:82329}f=Dn(b)|0;if((f|0)!=0?(a[f>>0]|0)!=37:0){h=1;j=87638}else{h=0;j=174181;f=174181}do if((dq(b,d)|0)!=-1?(eq(b,d,g)|0)!=-1:0){g=(h|0)==0;if(h|i|0){if((eq(b,d,k)|0)==-1){f=-1;break}if((eq(b,d,87631)|0)==-1){f=-1;break}}if(!g?(pq(b,d,f)|0)==-1:0){f=-1;break}if(((eq(b,d,j)|0)!=-1?(eq(b,d,82337)|0)!=-1:0)?(c[42032]=(c[42032]|0)+1,(uq(b,d,e)|0)!=-1):0){c[b>>2]=c[b>>2]|8;f=0}else f=-1}else f=-1;while(0);return f|0}function bq(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;a:do if((fq(a,b)|0)==-1)d=-1;else{k=jm(so(a)|0,0)|0;i=(k|0)==0;j=k+12|0;k=k+8|0;h=co(a)|0;while(1){if(!h){d=0;break a}if(gq(a,h,(c[h>>2]|0)>>>4,0)|0){if(i)d=0;else d=c[k>>2]|0;if((hq(h,b,d)|0)==-1){d=-1;break a}}g=Pm(a,h)|0;d=h;while(1){if(!g)break;f=g+-48|0;e=c[((c[g>>2]&3|0)==2?g:f)+40>>2]|0;if((d|0)!=(e|0)?(gq(a,e,(c[h>>2]|0)>>>4,0)|0)!=0:0){if(i)d=0;else d=c[k>>2]|0;if((hq(c[((c[g>>2]&3|0)==2?g:f)+40>>2]|0,b,d)|0)==-1){d=-1;break a}d=c[((c[g>>2]&3|0)==2?g:f)+40>>2]|0}if(iq(a,g)|0){if(i)e=0;else e=c[j>>2]|0;if((jq(g,b,e)|0)==-1){d=-1;break a}}g=Rm(a,g)|0}h=eo(a,h)|0}}while(0);return d|0}function cq(a,b){a=a|0;b=b|0;c[42032]=(c[42032]|0)+-1;if((dq(a,b)|0)==-1)a=-1;else a=((eq(a,b,95830)|0)==-1)<<31>>31;return a|0}function dq(a,b){a=a|0;b=b|0;var d=0;d=c[42032]|0;while(1){if((d|0)<=0){d=0;break}if((eq(a,b,134899)|0)==-1){d=-1;break}else d=d+-1|0}return d|0}function eq(a,b,d){a=a|0;b=b|0;d=d|0;return ab[c[(c[(c[a+64>>2]|0)+8>>2]|0)+4>>2]&63](b,d)|0}function fq(a,b){a=a|0;b=b|0;a=Jp(a)|0;while(1){if(!a){a=0;break}if(!(Zp(a)|0)){if((aq(a,b,0)|0)==-1){a=-1;break}if((bq(a,b)|0)==-1){a=-1;break}if((cq(a,b)|0)==-1){a=-1;break}}else fq(a,b)|0;a=Kp(a)|0}return a|0}function gq(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0;if((Yp(a,b)|0)==0?(rq(a,b,c,d)|0)!=0:0)if((sq(a,b)|0)==0?(tq(b)|0)==0:0)e=5;else a=1;else e=5;if((e|0)==5)a=0;return a|0}function hq(a,b,c){a=a|0;b=b|0;c=c|0;var d=0;d=ro(a)|0;do if((dq(d,b)|0)!=-1?(kq(a,b)|0)!=-1:0){if((mq(a)|0)==0?(nq(a,b,c)|0)==-1:0){a=-1;break}a=eq(d,b,82293)|0}else a=-1;while(0);return a|0}function iq(a,b){a=a|0;b=b|0;a=Jp(a)|0;while(1){if(!a){a=1;break}if((Zp(a)|0)==0?en(a,b,0)|0:0){a=0;break}a=Kp(a)|0}return a|0}function jq(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;e=c[a>>2]&3;g=c[((e|0)==3?a:a+48|0)+40>>2]|0;e=c[((e|0)==2?a:a+-48|0)+40>>2]|0;f=ro(g)|0;do if((((((dq(f,b)|0)!=-1?(kq(g,b)|0)!=-1:0)?(lq(a,b,c[42033]|0)|0)!=-1:0)?(g=(qn(ro(g)|0)|0)!=0,(eq(f,b,g?85095:85100)|0)!=-1):0)?(kq(e,b)|0)!=-1:0)?(lq(a,b,c[42034]|0)|0)!=-1:0){if(!(mq(a)|0)){if((nq(a,b,d)|0)==-1){a=-1;break}}else if((oq(a,b,1)|0)==-1){a=-1;break}a=eq(f,b,82293)|0}else a=-1;while(0);return a|0}function kq(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0;i=l;l=l+32|0;g=i;d=i+8|0;e=Dn(a)|0;f=ro(a)|0;if(!e){j=a+8|0;a=c[j+4>>2]|0;e=g;c[e>>2]=c[j>>2];c[e+4>>2]=a;pL(d,82313,g)|0;if((eq(f,b,d)|0)==-1)a=-1;else h=4}else if((pq(f,b,e)|0)==-1)a=-1;else h=4;if((h|0)==4)a=0;l=i;return a|0}function lq(b,c,d){b=b|0;c=c|0;d=d|0;var e=0,f=0;a:do if((d|0)!=0?(e=ro(b)|0,f=Jm(b,d)|0,(a[f>>0]|0)!=0):0)if((eq(e,c,93017)|0)==-1)b=-1;else{do if(cp(f)|0){if((pq(e,c,f)|0)==-1){b=-1;break a}}else{b=WJ(f,58)|0;if(!b)if((qq(e,c,f,0)|0)==-1){b=-1;break a}else break;a[b>>0]=0;if((qq(e,c,f,0)|0)==-1){b=-1;break a}if((eq(e,c,93017)|0)==-1){b=-1;break a}if((qq(e,c,b+1|0,0)|0)==-1){b=-1;break a}a[b>>0]=58}while(0);b=0}else b=0;while(0);return b|0}function mq(a){a=a|0;return (c[a>>2]|0)>>>3&1|0}function nq(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;a:do if(!(c[a>>2]&2)){e=0;k=4}else{switch(oq(a,b,0)|0){case -1:{e=-1;break a}case 0:{e=0;k=4;break a}default:{}}e=1;k=4}while(0);b:do if((k|0)==4){f=om(a)|0;j=ro(a)|0;c:do if(f){i=f+12|0;h=bb[c[d>>2]&31](d,0,128)|0;while(1){if(!h)break c;do if(c[a>>2]&2){g=c[42033]|0;if(g|0?(c[h+16>>2]|0)==(c[g+16>>2]|0):0)break;g=c[42034]|0;if(!((g|0)!=0?(c[h+16>>2]|0)==(c[g+16>>2]|0):0))k=12}else k=12;while(0);if((k|0)==12){k=0;f=h+16|0;if((c[(c[i>>2]|0)+(c[f>>2]<<2)>>2]|0)!=(c[h+12>>2]|0)){g=e+1|0;if(e){if((eq(j,b,82308)|0)==-1){e=-1;break b}if((dq(j,b)|0)==-1){e=-1;break b}}else{if((dq(j,b)|0)==-1){e=-1;break b}if((eq(j,b,82305)|0)==-1){e=-1;break b}c[42032]=(c[42032]|0)+1}if((pq(j,b,c[h+8>>2]|0)|0)==-1){e=-1;break b}if((eq(j,b,82311)|0)==-1){e=-1;break b}if((pq(j,b,c[(c[i>>2]|0)+(c[f>>2]<<2)>>2]|0)|0)==-1){e=-1;break b}else e=g}}h=bb[c[d>>2]&31](d,h,8)|0}}while(0);if((e|0)>0){if((eq(j,b,82303)|0)==-1){e=-1;break}c[42032]=(c[42032]|0)+-1}c[a>>2]=c[a>>2]|8;e=0}while(0);return e|0}function oq(b,c,d){b=b|0;c=c|0;d=d|0;var e=0,f=0;e=Dn(b)|0;b=ro(b)|0;if((e|0)!=0?(a[e>>0]|0)!=0:0)if((eq(b,c,82296)|0)!=-1?(pq(b,c,e)|0)!=-1:0)if((d|0)!=0?(eq(b,c,82303)|0)==-1:0)b=-1;else{b=1;f=7}else b=-1;else{b=0;f=7}return b|0}function pq(a,b,c){a=a|0;b=b|0;c=c|0;return qq(a,b,c,1)|0}function qq(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;if(!d)c=Vp(c,Xp(c)|0)|0;else c=Wp(c)|0;return eq(a,b,c)|0}function rq(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;a:do if(0<e>>>0|(0==(e|0)?(c[b>>2]|0)>>>4>>>0<d>>>0:0))b=0;else{b=Sm(a,b)|0;while(1){if(!b){b=1;break a}if(0<e>>>0|(0==(e|0)?(c[c[b+40>>2]>>2]|0)>>>4>>>0<d>>>0:0)){b=0;break a}b=Tm(a,b)|0}}while(0);return b|0}function sq(a,b){a=a|0;b=b|0;if(!(Sm(a,b)|0))a=(Pm(a,b)|0)==0&1;else a=0;return a|0}function tq(a){a=a|0;var b=0,d=0,e=0;a=om(a)|0;a:do if(!a)a=0;else{d=a+8|0;e=c[d>>2]|0;b=a+12|0;a=bb[c[e>>2]&31](e,0,128)|0;while(1){if(!a){a=0;break a}if((c[(c[b>>2]|0)+(c[a+16>>2]<<2)>>2]|0)!=(c[a+12>>2]|0)){a=1;break a}e=c[d>>2]|0;a=bb[c[e>>2]&31](e,a,8)|0}}while(0);return a|0}function uq(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=jm(a,0)|0;if(e)if(((vq(a,b,96286,c[e+16>>2]|0,d)|0)!=-1?(vq(a,b,96273,c[e+8>>2]|0,d)|0)!=-1:0)?(vq(a,b,96237,c[e+12>>2]|0,d)|0)!=-1:0)f=5;else a=-1;else f=5;if((f|0)==5)a=0;return a|0}function vq(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;m=(g|0)!=0;if(m)l=0;else l=Wl(f,0)|0;k=(l|0)==0;j=bb[c[f>>2]&31](f,0,128)|0;g=0;while(1){if(!j){n=23;break}i=j+12|0;n=c[i>>2]|0;if((n|0)!=0?(a[n>>0]|0)!=0:0)n=12;else n=7;do if((n|0)==7){n=0;if(!(a[j+22>>0]|0)){if(!k){h=bb[c[l>>2]&31](l,j,4)|0;o=c[h+12>>2]|0;if(o|0?a[o>>0]|0:0){n=12;break}if(!(a[h+22>>0]|0))n=12}}else n=12}while(0);if((n|0)==12){n=0;h=g+1|0;if(g){if((eq(b,d,82308)|0)==-1){g=-1;break}if((dq(b,d)|0)==-1){g=-1;break}}else{if((dq(b,d)|0)==-1){g=-1;break}if((eq(b,d,e)|0)==-1){g=-1;break}if((eq(b,d,82305)|0)==-1){g=-1;break}c[42032]=(c[42032]|0)+1}if((pq(b,d,c[j+8>>2]|0)|0)==-1){g=-1;break}if((eq(b,d,82311)|0)==-1){g=-1;break}if((pq(b,d,c[i>>2]|0)|0)==-1){g=-1;break}else g=h}j=bb[c[f>>2]&31](f,j,8)|0}do if((n|0)==23){if((g|0)>0){c[42032]=(c[42032]|0)+-1;if((g|0)!=1){if((eq(b,d,134901)|0)==-1){g=-1;break}if((dq(b,d)|0)==-1){g=-1;break}}g=(eq(b,d,82340)|0)==-1;if(m|g){g=g<<31>>31;break}}else if(m){g=0;break}Wl(f,l)|0;g=0}while(0);return g|0}function wq(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0;switch(c[b>>2]&3){case 0:{g=19;break}case 1:{g=20;break}case 3:case 2:{g=21;break}default:{}}b=ab[g&63](a,b)|0;if(!b)b=-1;else{Aq(a,b,d,e,g,f);b=0}return b|0}function xq(a,b){a=a|0;b=b|0;if((ro(b)|0)!=(a|0))b=en(a,b,0)|0;return b|0}function yq(a,b){a=a|0;b=b|0;if((ro(b)|0)!=(a|0))b=io(a,b,0)|0;return b|0}function zq(a,b){a=a|0;b=b|0;return a|0}function Aq(a,b,c,d,e,f){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0;h=(f|0)!=0;if(h)ib[c&127](a,b,d);g=Jp(a)|0;while(1){if(!g)break;i=ab[e&63](g,b)|0;if(i|0)Aq(g,i,c,d,e,f);g=Kp(g)|0}if(!h)ib[c&127](a,b,d);return}function Bq(){var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;t=l;l=l+1200|0;r=t+800|0;g=t;c[42035]=0;c[42036]=-2;f=r;i=200;n=g;p=0;q=0;o=r;a:while(1){b[o>>1]=p;if((f+(i<<1)+-2|0)>>>0>o>>>0)k=i;else{m=o-f>>1;e=m+1|0;if(i>>>0>9999){s=75;break}k=i<<1;k=k>>>0<1e4?k:1e4;h=ZI(k*6|3)|0;if(h){TN(h|0,f|0,e<<1|0)|0;i=h+(k>>>1<<2)|0;TN(i|0,n|0,e<<2|0)|0;if((f|0)==(r|0)){e=0;f=h}else{_I(f);e=0;f=h}}else{e=4;i=n}j=(e|0)==0;h=f+(m<<1)|0;switch((j?((f+(k<<1)+-2|0)>>>0>h>>>0?0:9):e)&15){case 9:{e=1;s=76;break a}case 4:{s=75;break a}case 0:{g=j?i+(m<<2)|0:g;n=i;o=j?h:o;break}default:{e=0;break a}}}if((p|0)==6){e=0;s=76;break}e=a[82344+p>>0]|0;j=e<<24>>24;do if(e<<24>>24!=-18){h=c[42036]|0;if((h|0)==-2){h=hp()|0;c[42036]=h}if((h|0)>=1)if(h>>>0<269)i=d[82424+h>>0]|0;else i=2;else{c[42036]=0;i=0}h=i+j|0;if(h>>>0<=59?(i|0)==(d[82693+h>>0]|0):0){p=a[82753+h>>0]|0;e=p<<24>>24;if(p<<24>>24<1){h=0-e|0;s=23;break}else{c[42036]=-2;g=g+4|0;c[g>>2]=c[42037];j=(q|0)==0?0:q+-1|0;h=o;break}}else s=22}else s=22;while(0);if((s|0)==22){s=0;p=a[82813+p>>0]|0;h=p&255;if(!(p<<24>>24)){h=c[42036]|0;b:do switch(q|0){case 0:{c[42035]=(c[42035]|0)+1;Cp(125369);h=o;break}case 3:if((h|0)<1)if(!h){e=1;s=76;break a}else{h=o;break b}else{c[42036]=-2;h=o;break b}default:h=o}while(0);while(1){if(e<<24>>24==18)break;if((h|0)==(f|0)){e=1;s=76;break a}e=h+-2|0;g=g+-4|0;h=e;e=a[82344+(b[e>>1]|0)>>0]|0}g=g+4|0;c[g>>2]=c[42037];e=1;j=3}else s=23}do if((s|0)==23){s=0;i=d[82893+h>>0]|0;e=c[g+(1-i<<2)>>2]|0;c:do switch(h|0){case 2:{Cq();Dq();break}case 3:{if(c[42038]|0){Cq();Dq();ln(c[42038]|0)|0;c[41987]=0;c[42038]=0}break}case 6:{Eq(c[g>>2]|0,c[g+-4>>2]|0,c[g+-8>>2]|0);break}case 7:{e=c[g>>2]|0;break}case 8:{e=0;break}case 9:{e=1;break}case 10:{e=0;break}case 11:{e=0;break}case 12:{e=1;break}case 21:if(!(c[g+-4>>2]|0)){Gq();break c}else{Fq();break c}case 24:{Hq();break}case 25:{Hq();break}case 26:{e=1;break}case 27:{e=0;break}case 30:{Iq(c[g>>2]|0,0,0);break}case 31:{Iq(c[g+-8>>2]|0,c[g>>2]|0,0);break}case 32:{Iq(c[g+-16>>2]|0,c[g+-8>>2]|0,c[g>>2]|0);break}case 33:{Jq(c[g+-8>>2]|0,c[g+-4>>2]|0);break}case 34:{Jq(258,0);break}case 35:{e=258;break}case 36:{e=259;break}case 37:{e=260;break}case 38:{e=c[g+-4>>2]|0;break}case 39:{e=0;break}case 48:{Kq(c[g+-8>>2]|0,c[g>>2]|0);break}case 49:{Kq(c[g>>2]|0,0);break}case 51:{Lq(c[g>>2]|0);break}case 52:{Mq();break}case 53:{e=c[g>>2]|0;break}case 54:{e=0;break}case 55:{e=0;break}case 59:{e=c[g>>2]|0;break}case 60:{e=c[g>>2]|0;break}case 61:{e=c[g>>2]|0;break}case 62:{e=Nq(c[g+-8>>2]|0,c[g>>2]|0)|0;break}default:{}}while(0);i=0-i|0;p=g+(i<<2)|0;i=o+(i<<1)|0;g=p+4|0;c[p+4>>2]=e;e=(d[82956+h>>0]|0)+-24|0;p=b[i>>1]|0;h=p+(a[83019+e>>0]|0)|0;if(h>>>0<60?(d[82693+h>>0]|0)==(p|0):0){e=a[82753+h>>0]|0;j=q;h=i;break}e=a[83054+e>>0]|0;j=q;h=i}while(0);i=k;p=e;q=j;o=h+2|0}if((s|0)==75){Cp(125382);e=2;s=76}if((s|0)==76)if((f|0)!=(r|0))_I(f);l=t;return e|0}function Cq(){var a=0,b=0;a=c[42039]|0;while(1){if(!a)break;Vq(a+8|0);Vq((c[42039]|0)+24|0);Vq((c[42039]|0)+16|0);b=Oq(c[42039]|0)|0;c[42039]=b;a=b}return}function Dq(){Dp();Mn(c[42038]|0);return}function Eq(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;h=l;l=l+16|0;g=h;f=c[42038]|0;if(!f){a[168160]=d&1|(e&255)<<1&2|a[168160]&-12|8;f=c[42041]|0;a[g>>0]=a[168160]|0;a[g+1>>0]=a[168161]|0;a[g+2>>0]=a[168162]|0;a[g+3>>0]=a[168163]|0;f=gn(b,g,f)|0;c[42038]=f}c[41987]=f;c[42039]=Pq(c[42039]|0,f)|0;bp(0,b)|0;l=h;return}function Fq(){var b=0,d=0,e=0,f=0,g=0,h=0;Uq(2);e=c[42039]|0;f=a[83089]|0;h=0;b=e+24|0;while(1){d=c[b>>2]|0;if(!d)break;if(((c[d>>2]|0)==267?(g=c[d+4>>2]|0,(a[g>>0]|0)==f<<24>>24):0)?(xJ(g,83089)|0)==0:0)b=c[d+8>>2]|0;else b=h;h=b;b=d+12|0}b=e+16|0;a:while(1){e=c[b>>2]|0;b=e+12|0;if(!(c[b>>2]|0))break;d=e+4|0;if((c[e>>2]|0)==262){e=c[d>>2]|0;d=co(e)|0;while(1){if(!d)continue a;g=io(c[c[42039]>>2]|0,d,0)|0;ar(g,0,c[b>>2]|0,h);d=eo(e,d)|0}}else while(1){d=c[d>>2]|0;if(!d)continue a;ar(c[d+4>>2]|0,c[d+8>>2]|0,c[b>>2]|0,h);d=d+12|0}}Vq((c[42039]|0)+8|0);Vq((c[42039]|0)+16|0);Vq((c[42039]|0)+24|0);c[(c[42039]|0)+4>>2]=0;return}function Gq(){var a=0;Uq(1);a=(c[42039]|0)+8|0;while(1){a=c[a>>2]|0;if(!a)break;$q(c[a+4>>2]|0);a=a+12|0}Vq((c[42039]|0)+8|0);Vq((c[42039]|0)+24|0);Vq((c[42039]|0)+16|0);c[(c[42039]|0)+4>>2]=0;return}function Hq(){var a=0,b=0;a=c[42039]|0;b=c[a+8>>2]|0;if(!b){b=c[a+4>>2]|0;if(!b)b=0;else{b=_q(b)|0;a=c[42039]|0}c[a+4>>2]=0}else{b=Zq(b)|0;a=c[42039]|0;c[a+12>>2]=0;c[a+8>>2]=0}if(b|0)Rq(a+16|0,b);return}function Iq(a,b,d){a=a|0;b=b|0;d=d|0;if(d)b=Xq(b,d)|0;d=Yq(no(c[c[42039]>>2]|0,a,1)|0,b)|0;Rq((c[42039]|0)+8|0,d);bp(c[42038]|0,a)|0;return}function Jq(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;if(d|0)Tq();d=(c[42039]|0)+24|0;while(1){d=c[d>>2]|0;if(!d)break;if(!(c[d+8>>2]|0))Tq();d=d+12|0}g=(b|0)==260?2:(b|0)==259&1;Uq(g);b=c[42039]|0;d=b+24|0;while(1){f=c[d>>2]|0;if(!f)break;do if((c[f>>2]|0)!=267){d=c[f+4>>2]|0;e=c[b>>2]|0;if(!((a[d+21>>0]|0)!=0&(e|0)==(c[42038]|0))){d=ym(e,g,c[d+8>>2]|0,c[f+8>>2]|0)|0;b=c[42039]|0;if((c[b>>2]|0)!=(c[42038]|0))break}a[d+22>>0]=1}while(0);d=f+12|0}Vq(b+24|0);return}function Kq(a,b){a=a|0;b=b|0;b=Qq(a,b)|0;Rq((c[42039]|0)+24|0,b);return}function Lq(a){a=a|0;var b=0;b=c[42039]|0;c[42039]=Pq(b,Ip(c[b>>2]|0,a,1)|0)|0;bp(c[42038]|0,a)|0;return}function Mq(){var a=0,b=0;a=c[42039]|0;b=c[a>>2]|0;a=Oq(a)|0;c[42039]=a;c[a+4>>2]=b;return}function Nq(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;g=l;l=l+1024|0;f=g;d=rJ(a)|0;d=d+1+(rJ(b)|0)|0;if(d>>>0<1025)d=f;else d=ZI(d)|0;xK(d,a)|0;IL(d,b)|0;e=$o(c[42038]|0,d)|0;bp(c[42038]|0,a)|0;bp(c[42038]|0,b)|0;if((d|0)!=(f|0))_I(d);l=g;return e|0}function Oq(a){a=a|0;var b=0;b=c[(c[42039]|0)+32>>2]|0;Zn(c[42038]|0,a);return b|0}function Pq(a,b){a=a|0;b=b|0;var d=0;d=Yn(c[42038]|0,36)|0;c[d+32>>2]=a;c[d>>2]=b;return d|0}function Qq(a,b){a=a|0;b=b|0;return Sq(267,a,b)|0}function Rq(a,b){a=a|0;b=b|0;var d=0,e=0;d=a+4|0;e=c[d>>2]|0;if(e|0)c[e+12>>2]=b;c[d>>2]=b;if(!(c[a>>2]|0))c[a>>2]=b;return}function Sq(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;e=Yn(c[42038]|0,16)|0;c[e>>2]=a;c[e+4>>2]=b;c[e+8>>2]=d;return e|0}function Tq(){var a=0;a=l;l=l+16|0;_l(0,83093,a)|0;l=a;return}\nfunction DI(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,i=0.0,j=0,k=0,m=0,n=0,q=0,r=0,s=0,u=0,v=0,w=0,x=0,y=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0.0;H=l;l=l+112|0;E=H+80|0;D=H+64|0;C=H+48|0;G=4;F=ZI(40)|0;c[F>>2]=0;w=H+32|0;x=H+16|0;y=H;A=H+96|0;G=RN(169980,1,F|0,G|0)|0;F=z;o=0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1)e=z;else e=0;a:while(1){if(e|0){e=-2;break}g=a+4|0;o=0;fa(94,c[g>>2]|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue}c[42534]=0;c[42535]=0;o=0;fa(95,c[g>>2]<<1|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue}m=(c[42537]|0)/2|0;c[42538]=m;c[42539]=m+-1;m=c[g>>2]|0;g=c[a>>2]|0;e=0;f=-1;i=t;while(1){if((e|0)>=(m|0))break;I=+h[g+(e<<4)>>3];v=i>I;u=v?e:f;e=e+1|0;f=u;i=v?I:i}v=g+(f<<4)|0;c[x>>2]=c[v>>2];c[x+4>>2]=c[v+4>>2];c[x+8>>2]=c[v+8>>2];c[x+12>>2]=c[v+12>>2];v=g+(((f|0)==0?m:f)+-1<<4)|0;c[w>>2]=c[v>>2];c[w+4>>2]=c[v+4>>2];c[w+8>>2]=c[v+8>>2];c[w+12>>2]=c[v+12>>2];v=g+(((f|0)==(m+-1|0)?0:f+1|0)<<4)|0;c[y>>2]=c[v>>2];c[y+4>>2]=c[v+4>>2];c[y+8>>2]=c[v+8>>2];c[y+12>>2]=c[v+12>>2];I=+h[x>>3];if((+h[w>>3]==I?I==+h[y>>3]:0)?+h[y+8>>3]>+h[x+8>>3]:0)v=15;else v=12;b:do if((v|0)==12){v=0;o=0;e=aa(17,w|0,x|0,y|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,G|0,F|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}if((e|0)==1){g=c[42541]|0;e=c[42542]|0;f=0;while(1){if((f|0)>=(m|0))break b;j=c[a>>2]|0;if(!(((f|0)>0?(B=f+-1|0,+h[j+(f<<4)>>3]==+h[j+(B<<4)>>3]):0)?+h[j+(f<<4)+8>>3]==+h[j+(B<<4)+8>>3]:0)){u=c[42534]|0;c[g+(u<<3)>>2]=j+(f<<4);c[g+(u<<3)+4>>2]=g+(((u|0)%(m|0)|0)<<3);c[e+(u<<2)>>2]=g+(u<<3);c[42534]=u+1}f=f+1|0}}else v=15}while(0);c:do if((v|0)==15){v=0;j=c[42541]|0;e=c[42542]|0;g=m;while(1){f=g+-1|0;if((g|0)<=0)break c;k=c[a>>2]|0;if(((g|0)<(m|0)?+h[k+(f<<4)>>3]==+h[k+(g<<4)>>3]:0)?+h[k+(f<<4)+8>>3]==+h[k+(g<<4)+8>>3]:0){g=f;continue}g=c[42534]|0;c[j+(g<<3)>>2]=k+(f<<4);c[j+(g<<3)+4>>2]=j+(((g|0)%(m|0)|0)<<3);c[e+(g<<2)>>2]=j+(g<<3);c[42534]=g+1;g=f}}while(0);o=0;ga(27,e|0,c[42534]|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue}j=0;e=c[42535]|0;d:while(1){if((j|0)>=(e|0)){s=0;break}k=j+1|0;g=k;while(1){if((g|0)>=(e|0)){j=k;continue d}o=0;ga(28,j|0,g|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue a}g=g+1|0;e=c[42535]|0}}while(1){if((s|0)>=(e|0))break;o=0;f=$(39,s|0,b|0)|0;g=o;o=0;if((g|0)!=0&(p|0)!=0){j=SN(c[g>>2]|0,G|0,F|0)|0;if(!j)Ua(g|0,p|0);z=p}else j=-1;if((j|0)==1){e=z;continue a}if(f|0)break;s=s+1|0}if((s|0)==(e|0)){e=c[13918]|0;o=0;c[C>>2]=125503;c[C+4>>2]=192;c[C+8>>2]=125514;aa(13,e|0,125484,C|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue}else{v=41;break}}u=b+16|0;k=0;while(1){if((k|0)>=(e|0))break;o=0;f=$(39,k|0,u|0)|0;g=o;o=0;if((g|0)!=0&(p|0)!=0){j=SN(c[g>>2]|0,G|0,F|0)|0;if(!j)Ua(g|0,p|0);z=p}else j=-1;if((j|0)==1){e=z;continue a}if(f|0)break;k=k+1|0}if((k|0)==(e|0)){e=c[13918]|0;o=0;c[D>>2]=125503;c[D+4>>2]=200;c[D+8>>2]=125547;aa(13,e|0,125484,D|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue}else{v=48;break}}o=0;e=$(40,s|0,k|0)|0;f=o;o=0;if((f|0)!=0&(p|0)!=0){g=SN(c[f>>2]|0,G|0,F|0)|0;if(!g)Ua(f|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue}if(!e){e=c[13918]|0;o=0;c[E>>2]=125503;c[E+4>>2]=207;c[E+8>>2]=125585;aa(13,e|0,125484,E|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue}o=0;fa(96,2);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue}else{v=53;break}}if((s|0)==(k|0)){o=0;fa(96,2);e=o;o=0;if((e|0)!=0&(p|0)!=0){f=SN(c[e>>2]|0,G|0,F|0)|0;if(!f)Ua(e|0,p|0);z=p}else f=-1;if((f|0)==1){e=z;continue}else{v=56;break}}c[A>>2]=b;c[A+4>>2]=0;f=A+8|0;c[f>>2]=u;c[A+12>>2]=0;o=0;ga(29,1,A|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue}c[42540]=c[42538];q=s;e:while(1){if((q|0)==-1){g=f;e=0;break}r=c[42544]|0;c[r+(q*52|0)>>2]=2;e=0;while(1){if((e|0)>=3){v=65;break}v=c[r+(q*52|0)+4+(e<<4)+12>>2]|0;if(v|0?(c[v>>2]|0)==1:0){v=68;break}e=e+1|0}if((v|0)==65){v=0;if((e|0)==3){e=c[42536]|0;k=c[e+(c[42539]<<2)>>2]|0;o=0;e=aa(17,u|0,c[c[e+(c[42538]<<2)>>2]>>2]|0,c[k>>2]|0)|0;g=o;o=0;if((g|0)!=0&(p|0)!=0){j=SN(c[g>>2]|0,G|0,F|0)|0;if(!j)Ua(g|0,p|0);z=p}else j=-1;if((j|0)==1){e=z;continue a}j=(e|0)==1;n=j?f:k;j=j?k:f}else v=68}if((v|0)==68){v=0;k=c[r+(q*52|0)+4+(e<<4)>>2]|0;m=c[r+(q*52|0)+4+(e<<4)+4>>2]|0;o=0;e=aa(17,c[k>>2]|0,c[c[r+(q*52|0)+4+(((e+1|0)%3|0)<<4)+4>>2]>>2]|0,c[m>>2]|0)|0;g=o;o=0;if((g|0)!=0&(p|0)!=0){j=SN(c[g>>2]|0,G|0,F|0)|0;if(!j)Ua(g|0,p|0);z=p}else j=-1;if((j|0)==1){e=z;continue a}j=(e|0)==1;n=j?k:m;j=j?m:k}do if((q|0)==(s|0)){o=0;ga(29,2,j|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}o=0;ga(29,1,n|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}e=0}else{m=c[42536]|0;if((c[m+(c[42538]<<2)>>2]|0)!=(n|0)?(c[m+(c[42539]<<2)>>2]|0)!=(n|0):0){o=0;j=_(29,n|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}o=0;ga(30,2,j|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}o=0;ga(29,1,n|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}if((j|0)<=(c[42540]|0)){e=0;break}c[42540]=j;e=0;break}o=0;k=_(29,j|0)|0;e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}o=0;ga(30,1,k|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}o=0;ga(29,2,j|0);e=o;o=0;if((e|0)!=0&(p|0)!=0){g=SN(c[e>>2]|0,G|0,F|0)|0;if(!g)Ua(e|0,p|0);z=p}else g=-1;if((g|0)==1){e=z;continue a}if((k|0)>=(c[42540]|0)){e=0;break}c[42540]=k;e=0}while(0);while(1){if((e|0)>=3){q=-1;continue e}g=c[r+(q*52|0)+4+(e<<4)+12>>2]|0;if(g|0?(c[g>>2]|0)==1:0)break;e=e+1|0}q=(g-(c[42544]|0)|0)/52|0}while(1){if(!g)break;g=c[g+4>>2]|0;e=e+1|0}o=0;fa(96,e|0);g=o;o=0;if((g|0)!=0&(p|0)!=0){j=SN(c[g>>2]|0,G|0,F|0)|0;if(!j)Ua(g|0,p|0);z=p}else j=-1;if((j|0)==1)e=z;else{v=94;break}}if((v|0)==41)e=-1;else if((v|0)==48)e=-1;else if((v|0)==53){c[d+4>>2]=2;e=c[42543]|0;c[e>>2]=c[b>>2];c[e+4>>2]=c[b+4>>2];c[e+8>>2]=c[b+8>>2];c[e+12>>2]=c[b+12>>2];F=e+16|0;c[F>>2]=c[u>>2];c[F+4>>2]=c[u+4>>2];c[F+8>>2]=c[u+8>>2];c[F+12>>2]=c[u+12>>2];c[d>>2]=e;e=0}else if((v|0)==56){c[d+4>>2]=2;e=c[42543]|0;c[e>>2]=c[b>>2];c[e+4>>2]=c[b+4>>2];c[e+8>>2]=c[b+8>>2];c[e+12>>2]=c[b+12>>2];F=e+16|0;c[F>>2]=c[u>>2];c[F+4>>2]=c[u+4>>2];c[F+8>>2]=c[u+8>>2];c[F+12>>2]=c[u+12>>2];c[d>>2]=e;e=0}else if((v|0)==94){c[d+4>>2]=e;g=c[42543]|0;while(1){e=e+-1|0;if(!f)break;F=g+(e<<4)|0;E=c[f>>2]|0;c[F>>2]=c[E>>2];c[F+4>>2]=c[E+4>>2];c[F+8>>2]=c[E+8>>2];c[F+12>>2]=c[E+12>>2];f=c[f+4>>2]|0}c[d>>2]=g;e=0}_I(G|0);l=H;return e|0}function EI(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;h=l;l=l+64|0;e=h+48|0;g=h+32|0;f=h+16|0;d=h;if((c[42547]|0)<(a|0)){b=c[42541]|0;if(!b){g=ZI(a<<3)|0;c[42541]=g;if(!g){g=c[13918]|0;c[d>>2]=125503;c[d+4>>2]=523;c[d+8>>2]=125753;zL(g,125484,d)|0;Ua(169980,1)}g=ZI(a<<2)|0;c[42542]=g;if(!g){g=c[13918]|0;c[f>>2]=125503;c[f+4>>2]=527;c[f+8>>2]=125772;zL(g,125484,f)|0;Ua(169980,1)}}else{f=aJ(b,a<<3)|0;c[42541]=f;if(!f){f=c[13918]|0;c[g>>2]=125503;c[g+4>>2]=533;c[g+8>>2]=125792;zL(f,125484,g)|0;Ua(169980,1)}g=aJ(c[42542]|0,a<<2)|0;c[42542]=g;if(!g){g=c[13918]|0;c[e>>2]=125503;c[e+4>>2]=539;c[e+8>>2]=125812;zL(g,125484,e)|0;Ua(169980,1)}}c[42547]=a}l=h;return}function FI(a){a=a|0;var b=0,d=0,e=0,f=0;f=l;l=l+32|0;e=f+16|0;d=f;if((c[42537]|0)<(a|0)){b=c[42536]|0;if(!b){e=ZI(a<<2)|0;c[42536]=e;if(!e){e=c[13918]|0;c[d>>2]=125503;c[d+4>>2]=573;c[d+8>>2]=125708;zL(e,125484,d)|0;Ua(169980,1)}}else{d=aJ(b,a<<2)|0;c[42536]=d;if(!d){d=c[13918]|0;c[e>>2]=125503;c[e+4>>2]=580;c[e+8>>2]=125730;zL(d,125484,e)|0;Ua(169980,1)}}c[42537]=a}l=f;return}function GI(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0;d=+h[b+8>>3];e=+h[b>>3];d=(+h[c>>3]-e)*(+h[a+8>>3]-d)-(+h[a>>3]-e)*(+h[c+8>>3]-d);return (d>0.0?1:d<0.0?2:3)|0}function HI(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=l;l=l+16|0;h=i;a:while(1){if((b|0)>3)e=0;else{b=9;break}while(1){if((e|0)>=(b|0)){b=8;break a}f=e+1|0;d=(f|0)%(b|0)|0;g=(e+2|0)%(b|0)|0;if(!(PI(e,g,a,b)|0))e=f;else break}QI(c[a+(e<<2)>>2]|0,c[a+(d<<2)>>2]|0,c[a+(g<<2)>>2]|0);b=b+-1|0;while(1){if((d|0)>=(b|0))continue a;g=d+1|0;c[a+(d<<2)>>2]=c[a+(g<<2)>>2];d=g}}if((b|0)==8){a=c[13918]|0;c[h>>2]=125503;c[h+4>>2]=324;c[h+8>>2]=125648;zL(a,125484,h)|0}else if((b|0)==9)QI(c[a>>2]|0,c[a+4>>2]|0,c[a+8>>2]|0);l=i;return}function II(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;i=c[42544]|0;j=i+(a*52|0)|0;k=i+(b*52|0)|0;g=0;while(1){if((g|0)==3)break;l=i+(a*52|0)+4+(g<<4)|0;m=i+(a*52|0)+4+(g<<4)+4|0;n=i+(a*52|0)+4+(g<<4)+12|0;f=0;while(1){if((f|0)==3)break;o=c[c[l>>2]>>2]|0;h=c[c[i+(b*52|0)+4+(f<<4)>>2]>>2]|0;if((o|0)==(h|0)){d=c[c[i+(b*52|0)+4+(f<<4)+4>>2]>>2]|0;if((c[c[m>>2]>>2]|0)==(d|0))e=10;else e=8}else{d=c[c[i+(b*52|0)+4+(f<<4)+4>>2]>>2]|0;e=8}if(((e|0)==8?(e=0,(o|0)==(d|0)):0)?(c[c[m>>2]>>2]|0)==(h|0):0)e=10;if((e|0)==10){c[n>>2]=k;c[i+(b*52|0)+4+(f<<4)+12>>2]=j}f=f+1|0}g=g+1|0}return}function JI(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;f=c[42544]|0;d=0;e=0;while(1){if((e|0)==3)break;d=d+((GI(c[c[f+(a*52|0)+4+(e<<4)>>2]>>2]|0,c[c[f+(a*52|0)+4+(e<<4)+4>>2]>>2]|0,b)|0)!=2&1)|0;e=e+1|0}return ((d|0)==3|(d|0)==0)&1|0}function KI(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=c[42544]|0;e=d+(a*52|0)|0;a:do if(!(c[e>>2]|0)){c[e>>2]=1;if((a|0)==(b|0))d=1;else{f=0;while(1){if((f|0)>=3)break;e=c[d+(a*52|0)+4+(f<<4)+12>>2]|0;if(e){if(KI((e-d|0)/52|0,b)|0){d=1;break a}d=c[42544]|0}f=f+1|0}c[d+(a*52|0)>>2]=0;d=0}}else d=0;while(0);return d|0}function LI(a){a=a|0;var b=0,d=0,e=0,f=0;f=l;l=l+32|0;e=f+16|0;d=f;if((c[42545]|0)<(a|0)){b=c[42543]|0;if(!b){e=ZI(a<<4)|0;c[42543]=e;if(!e){e=c[13918]|0;c[d>>2]=125503;c[d+4>>2]=593;c[d+8>>2]=125611;zL(e,125484,d)|0;Ua(169980,1)}}else{d=aJ(b,a<<4)|0;c[42543]=d;if(!d){d=c[13918]|0;c[e>>2]=125503;c[e+4>>2]=599;c[e+8>>2]=125629;zL(d,125484,e)|0;Ua(169980,1)}}c[42545]=a}l=f;return}function MI(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=c[42539]|0;e=c[42538]|0;f=(d|0)>=(e|0);if((a|0)==1)if(f){c[b+4>>2]=c[(c[42536]|0)+(e<<2)>>2];a=170152;d=-1}else{a=170152;d=-1}else if(f){c[b+4>>2]=c[(c[42536]|0)+(d<<2)>>2];a=170156;d=1}else{a=170156;d=1}f=(c[a>>2]|0)+d|0;c[a>>2]=f;c[(c[42536]|0)+(f<<2)>>2]=b;return}function NI(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;f=c[42540]|0;g=c[42536]|0;b=c[42538]|0;while(1){if((b|0)>=(f|0)){e=4;break}d=b+1|0;if((GI(c[c[g+(d<<2)>>2]>>2]|0,c[c[g+(b<<2)>>2]>>2]|0,c[a>>2]|0)|0)==1)break;else b=d}a:do if((e|0)==4){b=c[42539]|0;while(1){if((b|0)<=(f|0)){b=f;break a}d=b+-1|0;if((GI(c[c[g+(d<<2)>>2]>>2]|0,c[c[g+(b<<2)>>2]>>2]|0,c[a>>2]|0)|0)==2)break;else b=d}}while(0);return b|0}function OI(a,b){a=a|0;b=b|0;c[((a|0)==1?170156:170152)>>2]=b;return}function PI(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0;f=c[c[d+(((a+-1+e|0)%(e|0)|0)<<2)>>2]>>2]|0;i=c[c[d+(a<<2)>>2]>>2]|0;g=c[c[d+(((a+1|0)%(e|0)|0)<<2)>>2]>>2]|0;k=(GI(f,i,g)|0)==1;j=c[c[d+(b<<2)>>2]>>2]|0;if(k)if((GI(i,j,f)|0)==1){f=GI(j,i,g)|0;g=1;h=5}else f=0;else{f=GI(i,j,g)|0;g=2;h=5}a:do if((h|0)==5)if((f|0)==(g|0)){f=0;while(1){if((f|0)>=(e|0)){f=1;break a}g=f;f=f+1|0;h=(f|0)%(e|0)|0;if((h|0)==(b|0)|((g|0)==(b|0)|((g|0)==(a|0)|(h|0)==(a|0))))continue;if(SI(i,j,c[c[d+(g<<2)>>2]>>2]|0,c[c[d+(h<<2)>>2]>>2]|0)|0){f=0;break}}}else f=0;while(0);return f|0}function QI(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;e=c[42535]|0;f=c[42546]|0;if((e|0)<(f|0))h=e;else{RI(f+20|0);h=c[42535]|0}g=c[42544]|0;c[42535]=h+1;f=g+(h*52|0)|0;c[f>>2]=0;c[g+(h*52|0)+4>>2]=a;c[g+(h*52|0)+8>>2]=b;c[g+(h*52|0)+16>>2]=0;c[g+(h*52|0)+20>>2]=b;c[g+(h*52|0)+24>>2]=d;c[g+(h*52|0)+32>>2]=0;c[g+(h*52|0)+36>>2]=d;c[g+(h*52|0)+40>>2]=a;c[g+(h*52|0)+48>>2]=0;e=0;while(1){if((e|0)==3)break;c[g+(h*52|0)+4+(e<<4)+8>>2]=f;e=e+1|0}return}function RI(a){a=a|0;var b=0,d=0,e=0,f=0;f=l;l=l+32|0;e=f+16|0;d=f;if((c[42546]|0)<(a|0)){b=c[42544]|0;if(!b){e=ZI(a*52|0)|0;c[42544]=e;if(!e){e=c[13918]|0;c[d>>2]=125503;c[d+4>>2]=552;c[d+8>>2]=125669;zL(e,125484,d)|0;Ua(169980,1)}}else{d=aJ(b,a*52|0)|0;c[42544]=d;if(!d){d=c[13918]|0;c[e>>2]=125503;c[e+4>>2]=558;c[e+8>>2]=125688;zL(d,125484,e)|0;Ua(169980,1)}}c[42546]=a}l=f;return}function SI(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0,f=0,g=0,h=0;f=GI(a,b,c)|0;if((((f|0)!=3?(g=GI(a,b,d)|0,(g|0)!=3):0)?(h=GI(c,d,a)|0,(h|0)!=3):0)?(e=GI(c,d,b)|0,(e|0)!=3):0)return ((f|0)==1^(g|0)==1)&((h|0)==1^(e|0)==1)&1|0;if(((TI(a,b,c)|0)==0?(TI(a,b,d)|0)==0:0)?(TI(c,d,a)|0)==0:0)return (TI(c,d,b)|0)!=0|0;return 1}function TI(a,b,c){a=a|0;b=b|0;c=c|0;var d=0.0,e=0.0,f=0.0,g=0.0;e=+h[a>>3];g=+h[b>>3]-e;f=+h[a+8>>3];d=+h[b+8>>3]-f;e=+h[c>>3]-e;f=+h[c+8>>3]-f;if((GI(a,b,c)|0)==3?f*d+e*g>=0.0:0)a=f*f+e*e<=d*d+g*g&1;else a=0;return a|0}function UI(a,b){a=a|0;b=b|0;var c=0,d=0.0,e=0.0,f=0.0,g=0.0,i=0.0,j=0;d=+h[a+24>>3];a:do if(d<1.0e-07&d>-1.0e-07)a=VI(a,b)|0;else{g=+h[a+16>>3]/(d*3.0);f=+h[a+8>>3]/d;e=g*g;d=g*2.0*e-g*f+ +h[a>>3]/d;e=f*.3333333333333333-e;e=e*e*4.0*e;f=d*d+e;if(!(f<0.0)){i=(+C(+f)-d)*.5;e=+JJ(i);d=+JJ(-d-i)+e;h[b>>3]=d;if(f>0.0)a=1;else{d=d*-.5;h[b+16>>3]=d;a=1;c=7}}else{i=+K(+(+C(+-f)),+-d);d=+JJ(+C(+-e)*.5)*2.0;h[b>>3]=d*+E(+(i*.3333333333333333));h[b+8>>3]=+E(+((i+6.283185307179586)*.3333333333333333))*d;d=+E(+((i+-6.283185307179586)*.3333333333333333))*d;a=2;c=7}if((c|0)==7){h[b+(a<<3)>>3]=d;a=3}c=0;while(1){if((c|0)>=(a|0))break a;j=b+(c<<3)|0;h[j>>3]=+h[j>>3]-g;c=c+1|0}}while(0);return a|0}function VI(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;c=+h[a+16>>3];do if(!(c<1.0e-07&c>-1.0e-07)){d=+h[a+8>>3]/(c*2.0);c=d*d-+h[a>>3]/c;if(!(c<0.0))if(c==0.0){h[b>>3]=-d;a=1;break}else{c=+C(+c)-d;h[b>>3]=c;h[b+8>>3]=d*-2.0-c;a=2;break}else a=0}else a=WI(a,b)|0;while(0);return a|0}function WI(a,b){a=a|0;b=b|0;var c=0.0,d=0.0;d=+h[a+8>>3];c=+h[a>>3];if(d<1.0e-07&d>-1.0e-07)a=c<1.0e-07&c>-1.0e-07?4:0;else{h[b>>3]=-c/d;a=1}return a|0}function XI(a){a=a|0;_I(c[a>>2]|0);_I(a);return}function YI(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;e=c[a+4>>2]|0;i=(e*3|0)+-2|0;d=c[42549]|0;if((i|0)>(c[42548]|0)){if(!d)d=ZI(i<<4)|0;else d=aJ(d,i<<4)|0;c[42549]=d;c[42548]=i;h=d;g=d}else{h=d;g=d}f=c[a>>2]|0;c[h>>2]=c[f>>2];c[h+4>>2]=c[f+4>>2];c[h+8>>2]=c[f+8>>2];c[h+12>>2]=c[f+12>>2];UN(h+16|0,f|0,16)|0;e=e+-1|0;d=1;a=2;while(1){if((d|0)>=(e|0))break;j=h+(a+2<<4)|0;k=h+(a+1<<4)|0;m=h+(a<<4)|0;l=f+(d<<4)|0;c[m>>2]=c[l>>2];c[m+4>>2]=c[l+4>>2];c[m+8>>2]=c[l+8>>2];c[m+12>>2]=c[l+12>>2];UN(k|0,l|0,16)|0;c[j>>2]=c[k>>2];c[j+4>>2]=c[k+4>>2];c[j+8>>2]=c[k+8>>2];c[j+12>>2]=c[k+12>>2];d=d+1|0;a=a+3|0}l=h+(a<<4)|0;m=f+(d<<4)|0;c[l>>2]=c[m>>2];c[l+4>>2]=c[m+4>>2];c[l+8>>2]=c[m+8>>2];c[l+12>>2]=c[m+12>>2];UN(h+(a+1<<4)|0,m|0,16)|0;c[b+4>>2]=i;c[b>>2]=g;return}function ZI(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0;x=l;l=l+16|0;p=x;do if(a>>>0<245){m=a>>>0<11?16:a+11&-8;a=m>>>3;o=c[42550]|0;d=o>>>a;if(d&3|0){b=(d&1^1)+a|0;a=170240+(b<<1<<2)|0;d=a+8|0;e=c[d>>2]|0;f=e+8|0;g=c[f>>2]|0;if((g|0)==(a|0))c[42550]=o&~(1<<b);else{c[g+12>>2]=a;c[d>>2]=g}w=b<<3;c[e+4>>2]=w|3;w=e+w+4|0;c[w>>2]=c[w>>2]|1;w=f;l=x;return w|0}n=c[42552]|0;if(m>>>0>n>>>0){if(d|0){b=2<<a;b=d<<a&(b|0-b);b=(b&0-b)+-1|0;i=b>>>12&16;b=b>>>i;d=b>>>5&8;b=b>>>d;g=b>>>2&4;b=b>>>g;a=b>>>1&2;b=b>>>a;e=b>>>1&1;e=(d|i|g|a|e)+(b>>>e)|0;b=170240+(e<<1<<2)|0;a=b+8|0;g=c[a>>2]|0;i=g+8|0;d=c[i>>2]|0;if((d|0)==(b|0)){a=o&~(1<<e);c[42550]=a}else{c[d+12>>2]=b;c[a>>2]=d;a=o}w=e<<3;h=w-m|0;c[g+4>>2]=m|3;f=g+m|0;c[f+4>>2]=h|1;c[g+w>>2]=h;if(n|0){e=c[42555]|0;b=n>>>3;d=170240+(b<<1<<2)|0;b=1<<b;if(!(a&b)){c[42550]=a|b;b=d;a=d+8|0}else{a=d+8|0;b=c[a>>2]|0}c[a>>2]=e;c[b+12>>2]=e;c[e+8>>2]=b;c[e+12>>2]=d}c[42552]=h;c[42555]=f;w=i;l=x;return w|0}j=c[42551]|0;if(j){d=(j&0-j)+-1|0;i=d>>>12&16;d=d>>>i;h=d>>>5&8;d=d>>>h;k=d>>>2&4;d=d>>>k;e=d>>>1&2;d=d>>>e;a=d>>>1&1;a=c[170504+((h|i|k|e|a)+(d>>>a)<<2)>>2]|0;d=(c[a+4>>2]&-8)-m|0;e=c[a+16+(((c[a+16>>2]|0)==0&1)<<2)>>2]|0;if(!e){k=a;h=d}else{do{i=(c[e+4>>2]&-8)-m|0;k=i>>>0<d>>>0;d=k?i:d;a=k?e:a;e=c[e+16+(((c[e+16>>2]|0)==0&1)<<2)>>2]|0}while((e|0)!=0);k=a;h=d}i=k+m|0;if(i>>>0>k>>>0){f=c[k+24>>2]|0;b=c[k+12>>2]|0;do if((b|0)==(k|0)){a=k+20|0;b=c[a>>2]|0;if(!b){a=k+16|0;b=c[a>>2]|0;if(!b){d=0;break}}while(1){d=b+20|0;e=c[d>>2]|0;if(e|0){b=e;a=d;continue}d=b+16|0;e=c[d>>2]|0;if(!e)break;else{b=e;a=d}}c[a>>2]=0;d=b}else{d=c[k+8>>2]|0;c[d+12>>2]=b;c[b+8>>2]=d;d=b}while(0);do if(f|0){b=c[k+28>>2]|0;a=170504+(b<<2)|0;if((k|0)==(c[a>>2]|0)){c[a>>2]=d;if(!d){c[42551]=j&~(1<<b);break}}else{c[f+16+(((c[f+16>>2]|0)!=(k|0)&1)<<2)>>2]=d;if(!d)break}c[d+24>>2]=f;b=c[k+16>>2]|0;if(b|0){c[d+16>>2]=b;c[b+24>>2]=d}b=c[k+20>>2]|0;if(b|0){c[d+20>>2]=b;c[b+24>>2]=d}}while(0);if(h>>>0<16){w=h+m|0;c[k+4>>2]=w|3;w=k+w+4|0;c[w>>2]=c[w>>2]|1}else{c[k+4>>2]=m|3;c[i+4>>2]=h|1;c[i+h>>2]=h;if(n|0){e=c[42555]|0;b=n>>>3;d=170240+(b<<1<<2)|0;b=1<<b;if(!(o&b)){c[42550]=o|b;b=d;a=d+8|0}else{a=d+8|0;b=c[a>>2]|0}c[a>>2]=e;c[b+12>>2]=e;c[e+8>>2]=b;c[e+12>>2]=d}c[42552]=h;c[42555]=i}w=k+8|0;l=x;return w|0}else n=m}else n=m}else n=m}else if(a>>>0<=4294967231){a=a+11|0;m=a&-8;k=c[42551]|0;if(k){e=0-m|0;a=a>>>8;if(a)if(m>>>0>16777215)j=31;else{o=(a+1048320|0)>>>16&8;v=a<<o;n=(v+520192|0)>>>16&4;v=v<<n;j=(v+245760|0)>>>16&2;j=14-(n|o|j)+(v<<j>>>15)|0;j=m>>>(j+7|0)&1|j<<1}else j=0;d=c[170504+(j<<2)>>2]|0;a:do if(!d){d=0;a=0;v=57}else{a=0;i=d;h=m<<((j|0)==31?0:25-(j>>>1)|0);d=0;while(1){f=(c[i+4>>2]&-8)-m|0;if(f>>>0<e>>>0)if(!f){e=0;d=i;a=i;v=61;break a}else{a=i;e=f}f=c[i+20>>2]|0;i=c[i+16+(h>>>31<<2)>>2]|0;d=(f|0)==0|(f|0)==(i|0)?d:f;f=(i|0)==0;if(f){v=57;break}else h=h<<((f^1)&1)}}while(0);if((v|0)==57){if((d|0)==0&(a|0)==0){a=2<<j;a=k&(a|0-a);if(!a){n=m;break}o=(a&0-a)+-1|0;i=o>>>12&16;o=o>>>i;h=o>>>5&8;o=o>>>h;j=o>>>2&4;o=o>>>j;n=o>>>1&2;o=o>>>n;d=o>>>1&1;a=0;d=c[170504+((h|i|j|n|d)+(o>>>d)<<2)>>2]|0}if(!d){i=a;h=e}else v=61}if((v|0)==61)while(1){v=0;n=(c[d+4>>2]&-8)-m|0;o=n>>>0<e>>>0;e=o?n:e;a=o?d:a;d=c[d+16+(((c[d+16>>2]|0)==0&1)<<2)>>2]|0;if(!d){i=a;h=e;break}else v=61}if((i|0)!=0?h>>>0<((c[42552]|0)-m|0)>>>0:0){g=i+m|0;if(g>>>0<=i>>>0){w=0;l=x;return w|0}f=c[i+24>>2]|0;b=c[i+12>>2]|0;do if((b|0)==(i|0)){a=i+20|0;b=c[a>>2]|0;if(!b){a=i+16|0;b=c[a>>2]|0;if(!b){b=0;break}}while(1){d=b+20|0;e=c[d>>2]|0;if(e|0){b=e;a=d;continue}d=b+16|0;e=c[d>>2]|0;if(!e)break;else{b=e;a=d}}c[a>>2]=0}else{w=c[i+8>>2]|0;c[w+12>>2]=b;c[b+8>>2]=w}while(0);do if(f){a=c[i+28>>2]|0;d=170504+(a<<2)|0;if((i|0)==(c[d>>2]|0)){c[d>>2]=b;if(!b){e=k&~(1<<a);c[42551]=e;break}}else{c[f+16+(((c[f+16>>2]|0)!=(i|0)&1)<<2)>>2]=b;if(!b){e=k;break}}c[b+24>>2]=f;a=c[i+16>>2]|0;if(a|0){c[b+16>>2]=a;c[a+24>>2]=b}a=c[i+20>>2]|0;if(a){c[b+20>>2]=a;c[a+24>>2]=b;e=k}else e=k}else e=k;while(0);do if(h>>>0>=16){c[i+4>>2]=m|3;c[g+4>>2]=h|1;c[g+h>>2]=h;b=h>>>3;if(h>>>0<256){d=170240+(b<<1<<2)|0;a=c[42550]|0;b=1<<b;if(!(a&b)){c[42550]=a|b;b=d;a=d+8|0}else{a=d+8|0;b=c[a>>2]|0}c[a>>2]=g;c[b+12>>2]=g;c[g+8>>2]=b;c[g+12>>2]=d;break}b=h>>>8;if(b)if(h>>>0>16777215)b=31;else{v=(b+1048320|0)>>>16&8;w=b<<v;u=(w+520192|0)>>>16&4;w=w<<u;b=(w+245760|0)>>>16&2;b=14-(u|v|b)+(w<<b>>>15)|0;b=h>>>(b+7|0)&1|b<<1}else b=0;d=170504+(b<<2)|0;c[g+28>>2]=b;a=g+16|0;c[a+4>>2]=0;c[a>>2]=0;a=1<<b;if(!(e&a)){c[42551]=e|a;c[d>>2]=g;c[g+24>>2]=d;c[g+12>>2]=g;c[g+8>>2]=g;break}a=h<<((b|0)==31?0:25-(b>>>1)|0);d=c[d>>2]|0;while(1){if((c[d+4>>2]&-8|0)==(h|0)){v=97;break}e=d+16+(a>>>31<<2)|0;b=c[e>>2]|0;if(!b){v=96;break}else{a=a<<1;d=b}}if((v|0)==96){c[e>>2]=g;c[g+24>>2]=d;c[g+12>>2]=g;c[g+8>>2]=g;break}else if((v|0)==97){v=d+8|0;w=c[v>>2]|0;c[w+12>>2]=g;c[v>>2]=g;c[g+8>>2]=w;c[g+12>>2]=d;c[g+24>>2]=0;break}}else{w=h+m|0;c[i+4>>2]=w|3;w=i+w+4|0;c[w>>2]=c[w>>2]|1}while(0);w=i+8|0;l=x;return w|0}else n=m}else n=m}else n=-1;while(0);d=c[42552]|0;if(d>>>0>=n>>>0){b=d-n|0;a=c[42555]|0;if(b>>>0>15){w=a+n|0;c[42555]=w;c[42552]=b;c[w+4>>2]=b|1;c[a+d>>2]=b;c[a+4>>2]=n|3}else{c[42552]=0;c[42555]=0;c[a+4>>2]=d|3;w=a+d+4|0;c[w>>2]=c[w>>2]|1}w=a+8|0;l=x;return w|0}i=c[42553]|0;if(i>>>0>n>>>0){u=i-n|0;c[42553]=u;w=c[42556]|0;v=w+n|0;c[42556]=v;c[v+4>>2]=u|1;c[w+4>>2]=n|3;w=w+8|0;l=x;return w|0}if(!(c[42668]|0)){c[42670]=4096;c[42669]=4096;c[42671]=-1;c[42672]=-1;c[42673]=0;c[42661]=0;c[42668]=p&-16^1431655768;a=4096}else a=c[42670]|0;j=n+48|0;k=n+47|0;h=a+k|0;f=0-a|0;m=h&f;if(m>>>0<=n>>>0){w=0;l=x;return w|0}a=c[42660]|0;if(a|0?(o=c[42658]|0,p=o+m|0,p>>>0<=o>>>0|p>>>0>a>>>0):0){w=0;l=x;return w|0}b:do if(!(c[42661]&4)){d=c[42556]|0;c:do if(d){e=170648;while(1){a=c[e>>2]|0;if(a>>>0<=d>>>0?(s=e+4|0,(a+(c[s>>2]|0)|0)>>>0>d>>>0):0)break;a=c[e+8>>2]|0;if(!a){v=118;break c}else e=a}b=h-i&f;if(b>>>0<2147483647){a=WN(b|0)|0;if((a|0)==((c[e>>2]|0)+(c[s>>2]|0)|0)){if((a|0)!=(-1|0)){h=b;g=a;v=135;break b}}else{e=a;v=126}}else b=0}else v=118;while(0);do if((v|0)==118){d=WN(0)|0;if((d|0)!=(-1|0)?(b=d,q=c[42669]|0,r=q+-1|0,b=((r&b|0)==0?0:(r+b&0-q)-b|0)+m|0,q=c[42658]|0,r=b+q|0,b>>>0>n>>>0&b>>>0<2147483647):0){s=c[42660]|0;if(s|0?r>>>0<=q>>>0|r>>>0>s>>>0:0){b=0;break}a=WN(b|0)|0;if((a|0)==(d|0)){h=b;g=d;v=135;break b}else{e=a;v=126}}else b=0}while(0);do if((v|0)==126){d=0-b|0;if(!(j>>>0>b>>>0&(b>>>0<2147483647&(e|0)!=(-1|0))))if((e|0)==(-1|0)){b=0;break}else{h=b;g=e;v=135;break b}a=c[42670]|0;a=k-b+a&0-a;if(a>>>0>=2147483647){h=b;g=e;v=135;break b}if((WN(a|0)|0)==(-1|0)){WN(d|0)|0;b=0;break}else{h=a+b|0;g=e;v=135;break b}}while(0);c[42661]=c[42661]|4;v=133}else{b=0;v=133}while(0);if(((v|0)==133?m>>>0<2147483647:0)?(g=WN(m|0)|0,s=WN(0)|0,t=s-g|0,u=t>>>0>(n+40|0)>>>0,!((g|0)==(-1|0)|u^1|g>>>0<s>>>0&((g|0)!=(-1|0)&(s|0)!=(-1|0))^1)):0){h=u?t:b;v=135}if((v|0)==135){b=(c[42658]|0)+h|0;c[42658]=b;if(b>>>0>(c[42659]|0)>>>0)c[42659]=b;j=c[42556]|0;do if(j){b=170648;while(1){a=c[b>>2]|0;d=b+4|0;e=c[d>>2]|0;if((g|0)==(a+e|0)){v=143;break}f=c[b+8>>2]|0;if(!f)break;else b=f}if(((v|0)==143?(c[b+12>>2]&8|0)==0:0)?g>>>0>j>>>0&a>>>0<=j>>>0:0){c[d>>2]=e+h;w=(c[42553]|0)+h|0;u=j+8|0;u=(u&7|0)==0?0:0-u&7;v=j+u|0;u=w-u|0;c[42556]=v;c[42553]=u;c[v+4>>2]=u|1;c[j+w+4>>2]=40;c[42557]=c[42672];break}if(g>>>0<(c[42554]|0)>>>0)c[42554]=g;a=g+h|0;b=170648;while(1){if((c[b>>2]|0)==(a|0)){v=151;break}b=c[b+8>>2]|0;if(!b){a=170648;break}}if((v|0)==151)if(!(c[b+12>>2]&8)){c[b>>2]=g;m=b+4|0;c[m>>2]=(c[m>>2]|0)+h;m=g+8|0;m=g+((m&7|0)==0?0:0-m&7)|0;b=a+8|0;b=a+((b&7|0)==0?0:0-b&7)|0;k=m+n|0;i=b-m-n|0;c[m+4>>2]=n|3;do if((j|0)!=(b|0)){if((c[42555]|0)==(b|0)){w=(c[42552]|0)+i|0;c[42552]=w;c[42555]=k;c[k+4>>2]=w|1;c[k+w>>2]=w;break}a=c[b+4>>2]|0;if((a&3|0)==1){h=a&-8;e=a>>>3;d:do if(a>>>0<256){a=c[b+8>>2]|0;d=c[b+12>>2]|0;if((d|0)==(a|0)){c[42550]=c[42550]&~(1<<e);break}else{c[a+12>>2]=d;c[d+8>>2]=a;break}}else{g=c[b+24>>2]|0;a=c[b+12>>2]|0;do if((a|0)==(b|0)){e=b+16|0;d=e+4|0;a=c[d>>2]|0;if(!a){a=c[e>>2]|0;if(!a){a=0;break}else d=e}while(1){e=a+20|0;f=c[e>>2]|0;if(f|0){a=f;d=e;continue}e=a+16|0;f=c[e>>2]|0;if(!f)break;else{a=f;d=e}}c[d>>2]=0}else{w=c[b+8>>2]|0;c[w+12>>2]=a;c[a+8>>2]=w}while(0);if(!g)break;d=c[b+28>>2]|0;e=170504+(d<<2)|0;do if((c[e>>2]|0)!=(b|0)){c[g+16+(((c[g+16>>2]|0)!=(b|0)&1)<<2)>>2]=a;if(!a)break d}else{c[e>>2]=a;if(a|0)break;c[42551]=c[42551]&~(1<<d);break d}while(0);c[a+24>>2]=g;d=b+16|0;e=c[d>>2]|0;if(e|0){c[a+16>>2]=e;c[e+24>>2]=a}d=c[d+4>>2]|0;if(!d)break;c[a+20>>2]=d;c[d+24>>2]=a}while(0);b=b+h|0;f=h+i|0}else f=i;b=b+4|0;c[b>>2]=c[b>>2]&-2;c[k+4>>2]=f|1;c[k+f>>2]=f;b=f>>>3;if(f>>>0<256){d=170240+(b<<1<<2)|0;a=c[42550]|0;b=1<<b;if(!(a&b)){c[42550]=a|b;b=d;a=d+8|0}else{a=d+8|0;b=c[a>>2]|0}c[a>>2]=k;c[b+12>>2]=k;c[k+8>>2]=b;c[k+12>>2]=d;break}b=f>>>8;do if(!b)b=0;else{if(f>>>0>16777215){b=31;break}v=(b+1048320|0)>>>16&8;w=b<<v;u=(w+520192|0)>>>16&4;w=w<<u;b=(w+245760|0)>>>16&2;b=14-(u|v|b)+(w<<b>>>15)|0;b=f>>>(b+7|0)&1|b<<1}while(0);e=170504+(b<<2)|0;c[k+28>>2]=b;a=k+16|0;c[a+4>>2]=0;c[a>>2]=0;a=c[42551]|0;d=1<<b;if(!(a&d)){c[42551]=a|d;c[e>>2]=k;c[k+24>>2]=e;c[k+12>>2]=k;c[k+8>>2]=k;break}a=f<<((b|0)==31?0:25-(b>>>1)|0);d=c[e>>2]|0;while(1){if((c[d+4>>2]&-8|0)==(f|0)){v=192;break}e=d+16+(a>>>31<<2)|0;b=c[e>>2]|0;if(!b){v=191;break}else{a=a<<1;d=b}}if((v|0)==191){c[e>>2]=k;c[k+24>>2]=d;c[k+12>>2]=k;c[k+8>>2]=k;break}else if((v|0)==192){v=d+8|0;w=c[v>>2]|0;c[w+12>>2]=k;c[v>>2]=k;c[k+8>>2]=w;c[k+12>>2]=d;c[k+24>>2]=0;break}}else{w=(c[42553]|0)+i|0;c[42553]=w;c[42556]=k;c[k+4>>2]=w|1}while(0);w=m+8|0;l=x;return w|0}else a=170648;while(1){b=c[a>>2]|0;if(b>>>0<=j>>>0?(w=b+(c[a+4>>2]|0)|0,w>>>0>j>>>0):0)break;a=c[a+8>>2]|0}f=w+-47|0;a=f+8|0;a=f+((a&7|0)==0?0:0-a&7)|0;f=j+16|0;a=a>>>0<f>>>0?j:a;b=a+8|0;d=h+-40|0;u=g+8|0;u=(u&7|0)==0?0:0-u&7;v=g+u|0;u=d-u|0;c[42556]=v;c[42553]=u;c[v+4>>2]=u|1;c[g+d+4>>2]=40;c[42557]=c[42672];d=a+4|0;c[d>>2]=27;c[b>>2]=c[42662];c[b+4>>2]=c[42663];c[b+8>>2]=c[42664];c[b+12>>2]=c[42665];c[42662]=g;c[42663]=h;c[42665]=0;c[42664]=b;b=a+24|0;do{v=b;b=b+4|0;c[b>>2]=7}while((v+8|0)>>>0<w>>>0);if((a|0)!=(j|0)){g=a-j|0;c[d>>2]=c[d>>2]&-2;c[j+4>>2]=g|1;c[a>>2]=g;b=g>>>3;if(g>>>0<256){d=170240+(b<<1<<2)|0;a=c[42550]|0;b=1<<b;if(!(a&b)){c[42550]=a|b;b=d;a=d+8|0}else{a=d+8|0;b=c[a>>2]|0}c[a>>2]=j;c[b+12>>2]=j;c[j+8>>2]=b;c[j+12>>2]=d;break}b=g>>>8;if(b)if(g>>>0>16777215)d=31;else{v=(b+1048320|0)>>>16&8;w=b<<v;u=(w+520192|0)>>>16&4;w=w<<u;d=(w+245760|0)>>>16&2;d=14-(u|v|d)+(w<<d>>>15)|0;d=g>>>(d+7|0)&1|d<<1}else d=0;e=170504+(d<<2)|0;c[j+28>>2]=d;c[j+20>>2]=0;c[f>>2]=0;b=c[42551]|0;a=1<<d;if(!(b&a)){c[42551]=b|a;c[e>>2]=j;c[j+24>>2]=e;c[j+12>>2]=j;c[j+8>>2]=j;break}a=g<<((d|0)==31?0:25-(d>>>1)|0);d=c[e>>2]|0;while(1){if((c[d+4>>2]&-8|0)==(g|0)){v=213;break}e=d+16+(a>>>31<<2)|0;b=c[e>>2]|0;if(!b){v=212;break}else{a=a<<1;d=b}}if((v|0)==212){c[e>>2]=j;c[j+24>>2]=d;c[j+12>>2]=j;c[j+8>>2]=j;break}else if((v|0)==213){v=d+8|0;w=c[v>>2]|0;c[w+12>>2]=j;c[v>>2]=j;c[j+8>>2]=w;c[j+12>>2]=d;c[j+24>>2]=0;break}}}else{w=c[42554]|0;if((w|0)==0|g>>>0<w>>>0)c[42554]=g;c[42662]=g;c[42663]=h;c[42665]=0;c[42559]=c[42668];c[42558]=-1;c[42563]=170240;c[42562]=170240;c[42565]=170248;c[42564]=170248;c[42567]=170256;c[42566]=170256;c[42569]=170264;c[42568]=170264;c[42571]=170272;c[42570]=170272;c[42573]=170280;c[42572]=170280;c[42575]=170288;c[42574]=170288;c[42577]=170296;c[42576]=170296;c[42579]=170304;c[42578]=170304;c[42581]=170312;c[42580]=170312;c[42583]=170320;c[42582]=170320;c[42585]=170328;c[42584]=170328;c[42587]=170336;c[42586]=170336;c[42589]=170344;c[42588]=170344;c[42591]=170352;c[42590]=170352;c[42593]=170360;c[42592]=170360;c[42595]=170368;c[42594]=170368;c[42597]=170376;c[42596]=170376;c[42599]=170384;c[42598]=170384;c[42601]=170392;c[42600]=170392;c[42603]=170400;c[42602]=170400;c[42605]=170408;c[42604]=170408;c[42607]=170416;c[42606]=170416;c[42609]=170424;c[42608]=170424;c[42611]=170432;c[42610]=170432;c[42613]=170440;c[42612]=170440;c[42615]=170448;c[42614]=170448;c[42617]=170456;c[42616]=170456;c[42619]=170464;c[42618]=170464;c[42621]=170472;c[42620]=170472;c[42623]=170480;c[42622]=170480;c[42625]=170488;c[42624]=170488;w=h+-40|0;u=g+8|0;u=(u&7|0)==0?0:0-u&7;v=g+u|0;u=w-u|0;c[42556]=v;c[42553]=u;c[v+4>>2]=u|1;c[g+w+4>>2]=40;c[42557]=c[42672]}while(0);b=c[42553]|0;if(b>>>0>n>>>0){u=b-n|0;c[42553]=u;w=c[42556]|0;v=w+n|0;c[42556]=v;c[v+4>>2]=u|1;c[w+4>>2]=n|3;w=w+8|0;l=x;return w|0}}c[(jJ()|0)>>2]=12;w=0;l=x;return w|0}function _I(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0;if(!a)return;d=a+-8|0;f=c[42554]|0;a=c[a+-4>>2]|0;b=a&-8;j=d+b|0;do if(!(a&1)){e=c[d>>2]|0;if(!(a&3))return;h=d+(0-e)|0;g=e+b|0;if(h>>>0<f>>>0)return;if((c[42555]|0)==(h|0)){a=j+4|0;b=c[a>>2]|0;if((b&3|0)!=3){i=h;b=g;break}c[42552]=g;c[a>>2]=b&-2;c[h+4>>2]=g|1;c[h+g>>2]=g;return}d=e>>>3;if(e>>>0<256){a=c[h+8>>2]|0;b=c[h+12>>2]|0;if((b|0)==(a|0)){c[42550]=c[42550]&~(1<<d);i=h;b=g;break}else{c[a+12>>2]=b;c[b+8>>2]=a;i=h;b=g;break}}f=c[h+24>>2]|0;a=c[h+12>>2]|0;do if((a|0)==(h|0)){d=h+16|0;b=d+4|0;a=c[b>>2]|0;if(!a){a=c[d>>2]|0;if(!a){a=0;break}else b=d}while(1){d=a+20|0;e=c[d>>2]|0;if(e|0){a=e;b=d;continue}d=a+16|0;e=c[d>>2]|0;if(!e)break;else{a=e;b=d}}c[b>>2]=0}else{i=c[h+8>>2]|0;c[i+12>>2]=a;c[a+8>>2]=i}while(0);if(f){b=c[h+28>>2]|0;d=170504+(b<<2)|0;if((c[d>>2]|0)==(h|0)){c[d>>2]=a;if(!a){c[42551]=c[42551]&~(1<<b);i=h;b=g;break}}else{c[f+16+(((c[f+16>>2]|0)!=(h|0)&1)<<2)>>2]=a;if(!a){i=h;b=g;break}}c[a+24>>2]=f;b=h+16|0;d=c[b>>2]|0;if(d|0){c[a+16>>2]=d;c[d+24>>2]=a}b=c[b+4>>2]|0;if(b){c[a+20>>2]=b;c[b+24>>2]=a;i=h;b=g}else{i=h;b=g}}else{i=h;b=g}}else{i=d;h=d}while(0);if(h>>>0>=j>>>0)return;a=j+4|0;e=c[a>>2]|0;if(!(e&1))return;if(!(e&2)){if((c[42556]|0)==(j|0)){j=(c[42553]|0)+b|0;c[42553]=j;c[42556]=i;c[i+4>>2]=j|1;if((i|0)!=(c[42555]|0))return;c[42555]=0;c[42552]=0;return}if((c[42555]|0)==(j|0)){j=(c[42552]|0)+b|0;c[42552]=j;c[42555]=h;c[i+4>>2]=j|1;c[h+j>>2]=j;return}f=(e&-8)+b|0;d=e>>>3;do if(e>>>0<256){b=c[j+8>>2]|0;a=c[j+12>>2]|0;if((a|0)==(b|0)){c[42550]=c[42550]&~(1<<d);break}else{c[b+12>>2]=a;c[a+8>>2]=b;break}}else{g=c[j+24>>2]|0;a=c[j+12>>2]|0;do if((a|0)==(j|0)){d=j+16|0;b=d+4|0;a=c[b>>2]|0;if(!a){a=c[d>>2]|0;if(!a){d=0;break}else b=d}while(1){d=a+20|0;e=c[d>>2]|0;if(e|0){a=e;b=d;continue}d=a+16|0;e=c[d>>2]|0;if(!e)break;else{a=e;b=d}}c[b>>2]=0;d=a}else{d=c[j+8>>2]|0;c[d+12>>2]=a;c[a+8>>2]=d;d=a}while(0);if(g|0){a=c[j+28>>2]|0;b=170504+(a<<2)|0;if((c[b>>2]|0)==(j|0)){c[b>>2]=d;if(!d){c[42551]=c[42551]&~(1<<a);break}}else{c[g+16+(((c[g+16>>2]|0)!=(j|0)&1)<<2)>>2]=d;if(!d)break}c[d+24>>2]=g;a=j+16|0;b=c[a>>2]|0;if(b|0){c[d+16>>2]=b;c[b+24>>2]=d}a=c[a+4>>2]|0;if(a|0){c[d+20>>2]=a;c[a+24>>2]=d}}}while(0);c[i+4>>2]=f|1;c[h+f>>2]=f;if((i|0)==(c[42555]|0)){c[42552]=f;return}}else{c[a>>2]=e&-2;c[i+4>>2]=b|1;c[h+b>>2]=b;f=b}a=f>>>3;if(f>>>0<256){d=170240+(a<<1<<2)|0;b=c[42550]|0;a=1<<a;if(!(b&a)){c[42550]=b|a;a=d;b=d+8|0}else{b=d+8|0;a=c[b>>2]|0}c[b>>2]=i;c[a+12>>2]=i;c[i+8>>2]=a;c[i+12>>2]=d;return}a=f>>>8;if(a)if(f>>>0>16777215)a=31;else{h=(a+1048320|0)>>>16&8;j=a<<h;g=(j+520192|0)>>>16&4;j=j<<g;a=(j+245760|0)>>>16&2;a=14-(g|h|a)+(j<<a>>>15)|0;a=f>>>(a+7|0)&1|a<<1}else a=0;e=170504+(a<<2)|0;c[i+28>>2]=a;c[i+20>>2]=0;c[i+16>>2]=0;b=c[42551]|0;d=1<<a;do if(b&d){b=f<<((a|0)==31?0:25-(a>>>1)|0);d=c[e>>2]|0;while(1){if((c[d+4>>2]&-8|0)==(f|0)){a=73;break}e=d+16+(b>>>31<<2)|0;a=c[e>>2]|0;if(!a){a=72;break}else{b=b<<1;d=a}}if((a|0)==72){c[e>>2]=i;c[i+24>>2]=d;c[i+12>>2]=i;c[i+8>>2]=i;break}else if((a|0)==73){h=d+8|0;j=c[h>>2]|0;c[j+12>>2]=i;c[h>>2]=i;c[i+8>>2]=j;c[i+12>>2]=d;c[i+24>>2]=0;break}}else{c[42551]=b|d;c[e>>2]=i;c[i+24>>2]=e;c[i+12>>2]=i;c[i+8>>2]=i}while(0);j=(c[42558]|0)+-1|0;c[42558]=j;if(!j)a=170656;else return;while(1){a=c[a>>2]|0;if(!a)break;else a=a+8|0}c[42558]=-1;return}function $I(a,b){a=a|0;b=b|0;var d=0;if(a){d=O(b,a)|0;if((b|a)>>>0>65535)d=((d>>>0)/(a>>>0)|0|0)==(b|0)?d:-1}else d=0;a=ZI(d)|0;if(!a)return a|0;if(!(c[a+-4>>2]&3))return a|0;VN(a|0,0,d|0)|0;return a|0}function aJ(a,b){a=a|0;b=b|0;var d=0,e=0;if(!a){b=ZI(b)|0;return b|0}if(b>>>0>4294967231){c[(jJ()|0)>>2]=12;b=0;return b|0}d=bJ(a+-8|0,b>>>0<11?16:b+11&-8)|0;if(d|0){b=d+8|0;return b|0}d=ZI(b)|0;if(!d){b=0;return b|0}e=c[a+-4>>2]|0;e=(e&-8)-((e&3|0)==0?8:4)|0;TN(d|0,a|0,(e>>>0<b>>>0?e:b)|0)|0;_I(a);b=d;return b|0}function bJ(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0;l=a+4|0;m=c[l>>2]|0;d=m&-8;i=a+d|0;if(!(m&3)){if(b>>>0<256){a=0;return a|0}if(d>>>0>=(b+4|0)>>>0?(d-b|0)>>>0<=c[42670]<<1>>>0:0)return a|0;a=0;return a|0}if(d>>>0>=b>>>0){d=d-b|0;if(d>>>0<=15)return a|0;k=a+b|0;c[l>>2]=m&1|b|2;c[k+4>>2]=d|3;m=i+4|0;c[m>>2]=c[m>>2]|1;cJ(k,d);return a|0}if((c[42556]|0)==(i|0)){k=(c[42553]|0)+d|0;d=k-b|0;e=a+b|0;if(k>>>0<=b>>>0){a=0;return a|0}c[l>>2]=m&1|b|2;c[e+4>>2]=d|1;c[42556]=e;c[42553]=d;return a|0}if((c[42555]|0)==(i|0)){e=(c[42552]|0)+d|0;if(e>>>0<b>>>0){a=0;return a|0}d=e-b|0;if(d>>>0>15){k=a+b|0;e=a+e|0;c[l>>2]=m&1|b|2;c[k+4>>2]=d|1;c[e>>2]=d;e=e+4|0;c[e>>2]=c[e>>2]&-2;e=k}else{c[l>>2]=m&1|e|2;e=a+e+4|0;c[e>>2]=c[e>>2]|1;e=0;d=0}c[42552]=d;c[42555]=e;return a|0}e=c[i+4>>2]|0;if(e&2|0){a=0;return a|0}j=(e&-8)+d|0;if(j>>>0<b>>>0){a=0;return a|0}k=j-b|0;f=e>>>3;do if(e>>>0<256){e=c[i+8>>2]|0;d=c[i+12>>2]|0;if((d|0)==(e|0)){c[42550]=c[42550]&~(1<<f);break}else{c[e+12>>2]=d;c[d+8>>2]=e;break}}else{h=c[i+24>>2]|0;d=c[i+12>>2]|0;do if((d|0)==(i|0)){f=i+16|0;e=f+4|0;d=c[e>>2]|0;if(!d){d=c[f>>2]|0;if(!d){f=0;break}else g=f}else g=e;while(1){f=d+20|0;e=c[f>>2]|0;if(e|0){d=e;g=f;continue}e=d+16|0;f=c[e>>2]|0;if(!f)break;else{d=f;g=e}}c[g>>2]=0;f=d}else{f=c[i+8>>2]|0;c[f+12>>2]=d;c[d+8>>2]=f;f=d}while(0);if(h|0){d=c[i+28>>2]|0;e=170504+(d<<2)|0;if((c[e>>2]|0)==(i|0)){c[e>>2]=f;if(!f){c[42551]=c[42551]&~(1<<d);break}}else{c[h+16+(((c[h+16>>2]|0)!=(i|0)&1)<<2)>>2]=f;if(!f)break}c[f+24>>2]=h;d=i+16|0;e=c[d>>2]|0;if(e|0){c[f+16>>2]=e;c[e+24>>2]=f}d=c[d+4>>2]|0;if(d|0){c[f+20>>2]=d;c[d+24>>2]=f}}}while(0);if(k>>>0<16){c[l>>2]=j|m&1|2;m=a+j+4|0;c[m>>2]=c[m>>2]|1;return a|0}else{i=a+b|0;c[l>>2]=m&1|b|2;c[i+4>>2]=k|3;m=a+j+4|0;c[m>>2]=c[m>>2]|1;cJ(i,k);return a|0}return 0}function cJ(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;i=a+b|0;d=c[a+4>>2]|0;do if(!(d&1)){f=c[a>>2]|0;if(!(d&3))return;h=a+(0-f)|0;b=f+b|0;if((c[42555]|0)==(h|0)){a=i+4|0;d=c[a>>2]|0;if((d&3|0)!=3)break;c[42552]=b;c[a>>2]=d&-2;c[h+4>>2]=b|1;c[i>>2]=b;return}e=f>>>3;if(f>>>0<256){a=c[h+8>>2]|0;d=c[h+12>>2]|0;if((d|0)==(a|0)){c[42550]=c[42550]&~(1<<e);break}else{c[a+12>>2]=d;c[d+8>>2]=a;break}}g=c[h+24>>2]|0;a=c[h+12>>2]|0;do if((a|0)==(h|0)){e=h+16|0;d=e+4|0;a=c[d>>2]|0;if(!a){a=c[e>>2]|0;if(!a){a=0;break}else d=e}while(1){e=a+20|0;f=c[e>>2]|0;if(f|0){a=f;d=e;continue}e=a+16|0;f=c[e>>2]|0;if(!f)break;else{a=f;d=e}}c[d>>2]=0}else{f=c[h+8>>2]|0;c[f+12>>2]=a;c[a+8>>2]=f}while(0);if(g){d=c[h+28>>2]|0;e=170504+(d<<2)|0;if((c[e>>2]|0)==(h|0)){c[e>>2]=a;if(!a){c[42551]=c[42551]&~(1<<d);break}}else{c[g+16+(((c[g+16>>2]|0)!=(h|0)&1)<<2)>>2]=a;if(!a)break}c[a+24>>2]=g;d=h+16|0;e=c[d>>2]|0;if(e|0){c[a+16>>2]=e;c[e+24>>2]=a}d=c[d+4>>2]|0;if(d){c[a+20>>2]=d;c[d+24>>2]=a}}}else h=a;while(0);a=i+4|0;e=c[a>>2]|0;if(!(e&2)){if((c[42556]|0)==(i|0)){i=(c[42553]|0)+b|0;c[42553]=i;c[42556]=h;c[h+4>>2]=i|1;if((h|0)!=(c[42555]|0))return;c[42555]=0;c[42552]=0;return}if((c[42555]|0)==(i|0)){i=(c[42552]|0)+b|0;c[42552]=i;c[42555]=h;c[h+4>>2]=i|1;c[h+i>>2]=i;return}f=(e&-8)+b|0;d=e>>>3;do if(e>>>0<256){a=c[i+8>>2]|0;b=c[i+12>>2]|0;if((b|0)==(a|0)){c[42550]=c[42550]&~(1<<d);break}else{c[a+12>>2]=b;c[b+8>>2]=a;break}}else{g=c[i+24>>2]|0;b=c[i+12>>2]|0;do if((b|0)==(i|0)){d=i+16|0;a=d+4|0;b=c[a>>2]|0;if(!b){b=c[d>>2]|0;if(!b){d=0;break}else a=d}while(1){d=b+20|0;e=c[d>>2]|0;if(e|0){b=e;a=d;continue}d=b+16|0;e=c[d>>2]|0;if(!e)break;else{b=e;a=d}}c[a>>2]=0;d=b}else{d=c[i+8>>2]|0;c[d+12>>2]=b;c[b+8>>2]=d;d=b}while(0);if(g|0){b=c[i+28>>2]|0;a=170504+(b<<2)|0;if((c[a>>2]|0)==(i|0)){c[a>>2]=d;if(!d){c[42551]=c[42551]&~(1<<b);break}}else{c[g+16+(((c[g+16>>2]|0)!=(i|0)&1)<<2)>>2]=d;if(!d)break}c[d+24>>2]=g;b=i+16|0;a=c[b>>2]|0;if(a|0){c[d+16>>2]=a;c[a+24>>2]=d}b=c[b+4>>2]|0;if(b|0){c[d+20>>2]=b;c[b+24>>2]=d}}}while(0);c[h+4>>2]=f|1;c[h+f>>2]=f;if((h|0)==(c[42555]|0)){c[42552]=f;return}}else{c[a>>2]=e&-2;c[h+4>>2]=b|1;c[h+b>>2]=b;f=b}b=f>>>3;if(f>>>0<256){d=170240+(b<<1<<2)|0;a=c[42550]|0;b=1<<b;if(!(a&b)){c[42550]=a|b;b=d;a=d+8|0}else{a=d+8|0;b=c[a>>2]|0}c[a>>2]=h;c[b+12>>2]=h;c[h+8>>2]=b;c[h+12>>2]=d;return}b=f>>>8;if(b)if(f>>>0>16777215)b=31;else{g=(b+1048320|0)>>>16&8;i=b<<g;e=(i+520192|0)>>>16&4;i=i<<e;b=(i+245760|0)>>>16&2;b=14-(e|g|b)+(i<<b>>>15)|0;b=f>>>(b+7|0)&1|b<<1}else b=0;e=170504+(b<<2)|0;c[h+28>>2]=b;c[h+20>>2]=0;c[h+16>>2]=0;a=c[42551]|0;d=1<<b;if(!(a&d)){c[42551]=a|d;c[e>>2]=h;c[h+24>>2]=e;c[h+12>>2]=h;c[h+8>>2]=h;return}a=f<<((b|0)==31?0:25-(b>>>1)|0);d=c[e>>2]|0;while(1){if((c[d+4>>2]&-8|0)==(f|0)){b=69;break}e=d+16+(a>>>31<<2)|0;b=c[e>>2]|0;if(!b){b=68;break}else{a=a<<1;d=b}}if((b|0)==68){c[e>>2]=h;c[h+24>>2]=d;c[h+12>>2]=h;c[h+8>>2]=h;return}else if((b|0)==69){g=d+8|0;i=c[g>>2]|0;c[i+12>>2]=h;c[g>>2]=h;c[h+8>>2]=i;c[h+12>>2]=d;c[h+24>>2]=0;return}}function dJ(a,b){a=a|0;b=b|0;if(a>>>0<9){b=ZI(b)|0;return b|0}else{b=eJ(a,b)|0;return b|0}return 0}function eJ(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0;a=a>>>0>16?a:16;if(a+-1&a){d=16;while(1)if(d>>>0<a>>>0)d=d<<1;else{a=d;break}}if((-64-a|0)>>>0<=b>>>0){c[(jJ()|0)>>2]=12;h=0;return h|0}g=b>>>0<11?16:b+11&-8;d=ZI(g+12+a|0)|0;if(!d){h=0;return h|0}f=d+-8|0;do if(a+-1&d){e=(d+a+-1&0-a)+-8|0;b=f;e=(e-b|0)>>>0>15?e:e+a|0;b=e-b|0;a=d+-4|0;i=c[a>>2]|0;d=(i&-8)-b|0;if(!(i&3)){c[e>>2]=(c[f>>2]|0)+b;c[e+4>>2]=d;a=e;b=e;break}else{i=e+4|0;c[i>>2]=d|c[i>>2]&1|2;d=e+d+4|0;c[d>>2]=c[d>>2]|1;c[a>>2]=b|c[a>>2]&1|2;c[i>>2]=c[i>>2]|1;cJ(f,b);a=e;b=e;break}}else{a=f;b=f}while(0);a=a+4|0;d=c[a>>2]|0;if(d&3|0?(h=d&-8,h>>>0>(g+16|0)>>>0):0){i=h-g|0;f=b+g|0;c[a>>2]=g|d&1|2;c[f+4>>2]=i|3;h=b+h+4|0;c[h>>2]=c[h>>2]|1;cJ(f,i)}i=b+8|0;return i|0}function fJ(a){a=a|0;var b=0,d=0;b=l;l=l+16|0;d=b;c[d>>2]=kJ(c[a+60>>2]|0)|0;a=iJ(Da(6,d|0)|0)|0;l=b;return a|0}function gJ(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0;k=l;l=l+32|0;f=k;i=k+16|0;c[i>>2]=d;g=i+4|0;j=b+48|0;m=c[j>>2]|0;c[g>>2]=e-((m|0)!=0&1);h=b+44|0;c[i+8>>2]=c[h>>2];c[i+12>>2]=m;c[f>>2]=c[b+60>>2];c[f+4>>2]=i;c[f+8>>2]=2;f=iJ(ua(145,f|0)|0)|0;if((f|0)>=1){i=c[g>>2]|0;if(f>>>0>i>>>0){g=c[h>>2]|0;h=b+4|0;c[h>>2]=g;c[b+8>>2]=g+(f-i);if(!(c[j>>2]|0))f=e;else{c[h>>2]=g+1;a[d+(e+-1)>>0]=a[g>>0]|0;f=e}}}else c[b>>2]=c[b>>2]|f&48^16;l=k;return f|0}function hJ(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;f=l;l=l+32|0;g=f;e=f+20|0;c[g>>2]=c[a+60>>2];c[g+4>>2]=0;c[g+8>>2]=b;c[g+12>>2]=e;c[g+16>>2]=d;if((iJ(ta(140,g|0)|0)|0)<0){c[e>>2]=-1;a=-1}else a=c[e>>2]|0;l=f;return a|0}function iJ(a){a=a|0;if(a>>>0>4294963200){c[(jJ()|0)>>2]=0-a;a=-1}return a|0}function jJ(){return 170696}function kJ(a){a=a|0;return a|0}function lJ(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0;g=l;l=l+32|0;f=g;c[b+36>>2]=9;if((c[b>>2]&64|0)==0?(c[f>>2]=c[b+60>>2],c[f+4>>2]=21523,c[f+8>>2]=g+16,Ca(54,f|0)|0):0)a[b+75>>0]=-1;f=mJ(b,d,e)|0;l=g;return f|0}function mJ(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;n=l;l=l+48|0;k=n+16|0;g=n;f=n+32|0;i=a+28|0;e=c[i>>2]|0;c[f>>2]=e;j=a+20|0;e=(c[j>>2]|0)-e|0;c[f+4>>2]=e;c[f+8>>2]=b;c[f+12>>2]=d;e=e+d|0;h=a+60|0;c[g>>2]=c[h>>2];c[g+4>>2]=f;c[g+8>>2]=2;g=iJ(va(146,g|0)|0)|0;a:do if((e|0)!=(g|0)){b=2;while(1){if((g|0)<0)break;e=e-g|0;p=c[f+4>>2]|0;o=g>>>0>p>>>0;f=o?f+8|0:f;b=b+(o<<31>>31)|0;p=g-(o?p:0)|0;c[f>>2]=(c[f>>2]|0)+p;o=f+4|0;c[o>>2]=(c[o>>2]|0)-p;c[k>>2]=c[h>>2];c[k+4>>2]=f;c[k+8>>2]=b;g=iJ(va(146,k|0)|0)|0;if((e|0)==(g|0)){m=3;break a}}c[a+16>>2]=0;c[i>>2]=0;c[j>>2]=0;c[a>>2]=c[a>>2]|32;if((b|0)==2)d=0;else d=d-(c[f+4>>2]|0)|0}else m=3;while(0);if((m|0)==3){p=c[a+44>>2]|0;c[a+16>>2]=p+(c[a+48>>2]|0);c[i>>2]=p;c[j>>2]=p}l=n;return d|0}function nJ(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=a;c[e+4>>2]=b;b=iJ(Ea(91,e|0)|0)|0;l=d;return b|0}function oJ(){return}function pJ(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0;i=l;l=l+32|0;h=i;do if((g&4095|0)==0&(((g|0)<0)<<31>>31&-4096|0)==0){if(b>>>0>2147483646){c[(jJ()|0)>>2]=12;a=-1;break}c[h>>2]=a;c[h+4>>2]=b;c[h+8>>2]=d;c[h+12>>2]=e;c[h+16>>2]=f;c[h+20>>2]=g>>12;a=iJ(wa(192,h|0)|0)|0}else{c[(jJ()|0)>>2]=22;a=-1}while(0);l=i;return a|0}function qJ(b,d){b=b|0;d=d|0;var e=0,f=0,g=0;f=d&255;a:do if(!f)b=b+(rJ(b)|0)|0;else{if(b&3){e=d&255;do{g=a[b>>0]|0;if(g<<24>>24==0?1:g<<24>>24==e<<24>>24)break a;b=b+1|0}while((b&3|0)!=0)}f=O(f,16843009)|0;e=c[b>>2]|0;b:do if(!((e&-2139062144^-2139062144)&e+-16843009))do{g=e^f;if((g&-2139062144^-2139062144)&g+-16843009|0)break b;b=b+4|0;e=c[b>>2]|0}while(!((e&-2139062144^-2139062144)&e+-16843009|0));while(0);e=d&255;while(1){g=a[b>>0]|0;if(g<<24>>24==0?1:g<<24>>24==e<<24>>24)break;else b=b+1|0}}while(0);return b|0}function rJ(b){b=b|0;var d=0,e=0,f=0;f=b;a:do if(!(f&3))e=4;else{d=f;while(1){if(!(a[b>>0]|0)){b=d;break a}b=b+1|0;d=b;if(!(d&3)){e=4;break}}}while(0);if((e|0)==4){while(1){d=c[b>>2]|0;if(!((d&-2139062144^-2139062144)&d+-16843009))b=b+4|0;else break}if((d&255)<<24>>24)do b=b+1|0;while((a[b>>0]|0)!=0)}return b-f|0}function sJ(b,e){b=b|0;e=e|0;var f=0,g=0;g=0;while(1){if((d[125833+g>>0]|0)==(b|0)){b=2;break}f=g+1|0;if((f|0)==87){f=125921;g=87;b=5;break}else g=f}if((b|0)==2)if(!g)f=125921;else{f=125921;b=5}if((b|0)==5)while(1){do{b=f;f=f+1|0}while((a[b>>0]|0)!=0);g=g+-1|0;if(!g)break;else b=5}return tJ(f,c[e+20>>2]|0)|0}function tJ(a,b){a=a|0;b=b|0;return uJ(a,b)|0}function uJ(a,b){a=a|0;b=b|0;if(!b)b=0;else b=vJ(c[b>>2]|0,c[b+4>>2]|0,a)|0;return (b|0?b:a)|0}function vJ(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;o=(c[b>>2]|0)+1794895138|0;h=wJ(c[b+8>>2]|0,o)|0;f=wJ(c[b+12>>2]|0,o)|0;g=wJ(c[b+16>>2]|0,o)|0;a:do if((h>>>0<d>>>2>>>0?(n=d-(h<<2)|0,f>>>0<n>>>0&g>>>0<n>>>0):0)?((g|f)&3|0)==0:0){n=f>>>2;m=g>>>2;l=0;while(1){j=h>>>1;k=l+j|0;i=k<<1;g=i+n|0;f=wJ(c[b+(g<<2)>>2]|0,o)|0;g=wJ(c[b+(g+1<<2)>>2]|0,o)|0;if(!(g>>>0<d>>>0&f>>>0<(d-g|0)>>>0)){f=0;break a}if(a[b+(g+f)>>0]|0){f=0;break a}f=xJ(e,b+g|0)|0;if(!f)break;f=(f|0)<0;if((h|0)==1){f=0;break a}else{l=f?l:k;h=f?j:h-j|0}}f=i+m|0;g=wJ(c[b+(f<<2)>>2]|0,o)|0;f=wJ(c[b+(f+1<<2)>>2]|0,o)|0;if(f>>>0<d>>>0&g>>>0<(d-f|0)>>>0)f=(a[b+(f+g)>>0]|0)==0?b+f|0:0;else f=0}else f=0;while(0);return f|0}function wJ(a,b){a=a|0;b=b|0;var c=0;c=QN(a|0)|0;return ((b|0)==0?a:c)|0}function xJ(b,c){b=b|0;c=c|0;var d=0,e=0;d=a[b>>0]|0;e=a[c>>0]|0;if(d<<24>>24==0?1:d<<24>>24!=e<<24>>24)b=e;else{do{b=b+1|0;c=c+1|0;d=a[b>>0]|0;e=a[c>>0]|0}while(!(d<<24>>24==0?1:d<<24>>24!=e<<24>>24));b=e}return (d&255)-(b&255)|0}function yJ(a){a=a|0;return sJ(a,c[(zJ()|0)+188>>2]|0)|0}function zJ(){return AJ()|0}function AJ(){return 55800}function BJ(a,b,c){a=+a;b=+b;c=c|0;var d=0.0,e=0.0,f=0.0;f=a*a;d=f*(f*f)*(f*1.58969099521155e-10+-2.5050760253406863e-08)+(f*(f*2.7557313707070068e-06+-1.984126982985795e-04)+.00833333333332249);e=f*a;if(!c)a=e*(f*d+-.16666666666666632)+a;else a=a-(e*.16666666666666632+(f*(b*.5-e*d)-b));return +a}function CJ(a){a=+a;var b=0,d=0,e=0,f=0,g=0.0,i=0.0,k=0.0,l=0.0,m=0.0;h[j>>3]=a;b=c[j>>2]|0;d=c[j+4>>2]|0;e=(d|0)<0;do if(e|d>>>0<1048576){if((b|0)==0&(d&2147483647|0)==0){a=-1.0/(a*a);break}if(e){a=(a-a)/0.0;break}else{h[j>>3]=a*18014398509481984.0;d=c[j+4>>2]|0;e=-1077;b=c[j>>2]|0;f=9;break}}else if(d>>>0<=2146435071)if((b|0)==0&0==0&(d|0)==1072693248)a=0.0;else{e=-1023;f=9}while(0);if((f|0)==9){f=d+614242|0;c[j>>2]=b;c[j+4>>2]=(f&1048575)+1072079006;m=+h[j>>3]+-1.0;k=m*(m*.5);i=m/(m+2.0);l=i*i;g=l*l;h[j>>3]=m-k;d=c[j+4>>2]|0;c[j>>2]=0;c[j+4>>2]=d;a=+h[j>>3];g=m-a-k+i*(k+(g*(g*(g*.15313837699209373+.22222198432149784)+.3999999999940942)+l*(g*(g*(g*.14798198605116586+.1818357216161805)+.2857142874366239)+.6666666666666735)));l=a*1.4426950407214463;k=+(e+(f>>>20)|0);i=l+k;a=i+(l+(k-i)+(g*1.4426950407214463+(g+a)*1.6751713164886512e-10))}return +a}function DJ(a,b){a=+a;b=b|0;var d=0,e=0,f=0;h[j>>3]=a;d=c[j>>2]|0;e=c[j+4>>2]|0;f=NN(d|0,e|0,52)|0;switch(f&2047){case 0:{if(a!=0.0){a=+DJ(a*18446744073709551616.0,b);d=(c[b>>2]|0)+-64|0}else d=0;c[b>>2]=d;break}case 2047:break;default:{c[b>>2]=(f&2047)+-1022;c[j>>2]=d;c[j+4>>2]=e&-2146435073|1071644672;a=+h[j>>3]}}return +a}function EJ(a,b){a=+a;b=+b;var c=0.0,d=0.0,e=0.0,f=0.0;c=a*a;d=c*c;e=c*.5;f=1.0-e;return +(f+(1.0-f-e+(c*(c*(c*(c*2.480158728947673e-05+-.001388888888887411)+.0416666666666666)+d*d*(c*(2.087572321298175e-09-c*1.1359647557788195e-11)+-2.7557314351390663e-07))-a*b)))}function FJ(a){a=+a;var b=0,d=0,e=0,f=0,g=0.0,i=0.0,k=0.0,l=0.0,m=0.0;h[j>>3]=a;b=c[j>>2]|0;d=c[j+4>>2]|0;e=(d|0)<0;do if(e|d>>>0<1048576){if((b|0)==0&(d&2147483647|0)==0){a=-1.0/(a*a);break}if(e){a=(a-a)/0.0;break}else{h[j>>3]=a*18014398509481984.0;d=c[j+4>>2]|0;e=-1077;b=c[j>>2]|0;f=9;break}}else if(d>>>0<=2146435071)if((b|0)==0&0==0&(d|0)==1072693248)a=0.0;else{e=-1023;f=9}while(0);if((f|0)==9){f=d+614242|0;c[j>>2]=b;c[j+4>>2]=(f&1048575)+1072079006;k=+h[j>>3]+-1.0;i=k*(k*.5);l=k/(k+2.0);m=l*l;g=m*m;h[j>>3]=k-i;d=c[j+4>>2]|0;c[j>>2]=0;c[j+4>>2]=d;a=+h[j>>3];g=k-a-i+l*(i+(g*(g*(g*.15313837699209373+.22222198432149784)+.3999999999940942)+m*(g*(g*(g*.14798198605116586+.1818357216161805)+.2857142874366239)+.6666666666666735)));m=a*.4342944818781689;i=+(e+(f>>>20)|0);l=i*.30102999566361177;k=l+m;a=k+(m+(l-k)+(g*.4342944818781689+(i*3.694239077158931e-13+(g+a)*2.5082946711645275e-11)))}return +a}function GJ(a,b){a=+a;b=b|0;var d=0,e=0.0,f=0.0,g=0.0,i=0,k=0.0,m=0,n=0,o=0,p=0,q=0,r=0,s=0.0;r=l;l=l+48|0;m=r+16|0;n=r;h[j>>3]=a;d=c[j>>2]|0;i=c[j+4>>2]|0;o=NN(d|0,i|0,63)|0;q=i&2147483647;do if(q>>>0<1074752123)if((i&1048575|0)!=598523){d=(o|0)!=0;if(q>>>0<1073928573)if(d){g=a+1.5707963267341256;k=g+6.077100506506192e-11;h[b>>3]=k;h[b+8>>3]=g-k+6.077100506506192e-11;d=-1;break}else{g=a+-1.5707963267341256;k=g+-6.077100506506192e-11;h[b>>3]=k;h[b+8>>3]=g-k+-6.077100506506192e-11;d=1;break}else if(d){g=a+3.1415926534682512;k=g+1.2154201013012384e-10;h[b>>3]=k;h[b+8>>3]=g-k+1.2154201013012384e-10;d=-2;break}else{g=a+-3.1415926534682512;k=g+-1.2154201013012384e-10;h[b>>3]=k;h[b+8>>3]=g-k+-1.2154201013012384e-10;d=2;break}}else p=21;else{if(q>>>0<1075594812)if(q>>>0<1075183037){if((q|0)==1074977148){p=21;break}if(!o){g=a+-4.712388980202377;k=g+-1.8231301519518578e-10;h[b>>3]=k;h[b+8>>3]=g-k+-1.8231301519518578e-10;d=3;break}else{g=a+4.712388980202377;k=g+1.8231301519518578e-10;h[b>>3]=k;h[b+8>>3]=g-k+1.8231301519518578e-10;d=-3;break}}else{if((q|0)==1075388923){p=21;break}if(!o){g=a+-6.2831853069365025;k=g+-2.430840202602477e-10;h[b>>3]=k;h[b+8>>3]=g-k+-2.430840202602477e-10;d=4;break}else{g=a+6.2831853069365025;k=g+2.430840202602477e-10;h[b>>3]=k;h[b+8>>3]=g-k+2.430840202602477e-10;d=-4;break}}if(q>>>0>=1094263291){if(q>>>0>2146435071){k=a-a;h[b+8>>3]=k;h[b>>3]=k;d=0;break}c[j>>2]=d;c[j+4>>2]=i&1048575|1096810496;a=+h[j>>3];d=0;do{k=+(~~a|0);h[m+(d<<3)>>3]=k;a=(a-k)*16777216.0;d=d+1|0}while((d|0)!=2);h[m+16>>3]=a;if(a==0.0){d=1;while(1)if(+h[m+(d<<3)>>3]==0.0)d=d+-1|0;else break}else d=2;d=HJ(m,n,(q>>>20)+-1046|0,d+1|0,1)|0;a=+h[n>>3];if(!o){h[b>>3]=a;h[b+8>>3]=+h[n+8>>3];break}else{h[b>>3]=-a;h[b+8>>3]=-+h[n+8>>3];d=0-d|0;break}}else p=21}while(0);if((p|0)==21){g=a*.6366197723675814+6755399441055744.0+-6755399441055744.0;d=~~g;e=a-g*1.5707963267341256;f=g*6.077100506506192e-11;a=e-f;h[b>>3]=a;h[j>>3]=a;p=NN(c[j>>2]|0,c[j+4>>2]|0,52)|0;i=q>>>20;if((i-(p&2047)|0)>16){f=g*6.077100506303966e-11;k=e-f;f=g*2.0222662487959506e-21-(e-k-f);a=k-f;h[b>>3]=a;h[j>>3]=a;q=NN(c[j>>2]|0,c[j+4>>2]|0,52)|0;s=g*2.0222662487111665e-21;e=k-s;g=g*8.4784276603689e-32-(k-e-s);if((i-(q&2047)|0)>49){a=e-g;h[b>>3]=a;f=g}else e=k}h[b+8>>3]=e-a-f}l=r;return d|0}function HJ(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0.0,i=0.0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0.0;H=l;l=l+560|0;C=H+480|0;z=H+320|0;G=H+160|0;E=H;D=c[56044+(f<<2)>>2]|0;p=e+-1|0;y=(d+-3|0)/24|0;y=(y|0)>0?y:0;B=O(y,-24)|0;j=d+-24+B|0;if((D+p|0)>=0){n=D+e|0;k=y-p|0;m=0;while(1){if((k|0)<0)g=0.0;else g=+(c[56060+(k<<2)>>2]|0);h[z+(m<<3)>>3]=g;m=m+1|0;if((m|0)==(n|0))break;else k=k+1|0}}o=(e|0)>0;n=0;while(1){if(o){m=n+p|0;g=0.0;k=0;do{g=g+ +h[a+(k<<3)>>3]*+h[z+(m-k<<3)>>3];k=k+1|0}while((k|0)!=(e|0))}else g=0.0;h[E+(n<<3)>>3]=g;if((n|0)<(D|0))n=n+1|0;else break}t=(j|0)>0;u=24-j|0;v=23-j|0;w=(e|0)>0;x=(j|0)==0;k=D;a:while(1){g=+h[E+(k<<3)>>3];o=(k|0)>0;if(o){m=k;n=0;while(1){i=+(~~(g*5.9604644775390625e-08)|0);c[C+(n<<2)>>2]=~~(g-i*16777216.0);s=m;m=m+-1|0;g=+h[E+(m<<3)>>3]+i;if((s|0)<=1)break;else n=n+1|0}}g=+IJ(g,j);g=g-+A(+(g*.125))*8.0;m=~~g;g=g-+(m|0);do if(!t)if(!x)if(!(g>=.5)){p=0;s=m;break}else{n=2;F=20;break}else{n=c[C+(k+-1<<2)>>2]>>23;F=19;break}else{s=C+(k+-1<<2)|0;n=c[s>>2]|0;F=n>>u;n=n-(F<<u)|0;c[s>>2]=n;n=n>>v;m=F+m|0;F=19}while(0);if((F|0)==19){F=0;if((n|0)>0)F=20;else{p=n;s=m}}if((F|0)==20){F=0;s=m+1|0;if(o){m=0;r=0;do{p=C+(r<<2)|0;q=c[p>>2]|0;if(!m)if(!q)m=0;else{m=1;o=16777216;F=23}else{o=16777215;F=23}if((F|0)==23){F=0;c[p>>2]=o-q}r=r+1|0}while((r|0)!=(k|0))}else m=0;b:do if(t){switch(j|0){case 1:{o=8388607;break}case 2:{o=4194303;break}default:break b}r=C+(k+-1<<2)|0;c[r>>2]=c[r>>2]&o}while(0);if((n|0)==2){g=1.0-g;if(!m)p=2;else{p=2;g=g-+IJ(1.0,j)}}else p=n}if(!(g==0.0)){F=42;break}if((k|0)>(D|0)){m=0;n=k;do{n=n+-1|0;m=c[C+(n<<2)>>2]|m}while((n|0)>(D|0));if(m){F=41;break}else m=1}else m=1;while(1)if(!(c[C+(D-m<<2)>>2]|0))m=m+1|0;else break;o=m+k|0;if((m|0)<=0){k=o;continue}while(1){n=k+1|0;m=k+e|0;h[z+(m<<3)>>3]=+(c[56060+(n+y<<2)>>2]|0);if(w){g=0.0;k=0;do{g=g+ +h[a+(k<<3)>>3]*+h[z+(m-k<<3)>>3];k=k+1|0}while((k|0)!=(e|0))}else g=0.0;h[E+(n<<3)>>3]=g;if((n|0)<(o|0))k=n;else{k=o;continue a}}}if((F|0)==41)while(1){F=0;j=j+-24|0;k=k+-1|0;if(!(c[C+(k<<2)>>2]|0))F=41;else{o=k;break}}else if((F|0)==42){g=+IJ(g,0-j|0);if(g>=16777216.0){i=+(~~(g*5.9604644775390625e-08)|0);c[C+(k<<2)>>2]=~~(g-i*16777216.0);j=B+d|0;k=k+1|0;g=i}c[C+(k<<2)>>2]=~~g;o=k}g=+IJ(1.0,j);n=(o|0)>-1;if(n){j=o;while(1){h[E+(j<<3)>>3]=g*+(c[C+(j<<2)>>2]|0);if((j|0)>0){g=g*5.9604644775390625e-08;j=j+-1|0}else break}if(n){k=o;while(1){m=o-k|0;j=0;g=0.0;while(1){g=g+ +h[10840+(j<<3)>>3]*+h[E+(j+k<<3)>>3];if((j|0)>=(D|0)|(j|0)>=(m|0))break;else j=j+1|0}h[G+(m<<3)>>3]=g;if((k|0)>0)k=k+-1|0;else break}}}switch(f|0){case 0:{if(n){g=0.0;j=o;while(1){g=g+ +h[G+(j<<3)>>3];if((j|0)>0)j=j+-1|0;else break}}else g=0.0;i=(p|0)==0?g:-g;F=72;break}case 2:case 1:{if(n){g=0.0;j=o;while(1){g=g+ +h[G+(j<<3)>>3];if((j|0)>0)j=j+-1|0;else break}}else g=0.0;k=(p|0)==0;h[b>>3]=k?g:-g;g=+h[G>>3]-g;if((o|0)>=1){j=1;while(1){g=g+ +h[G+(j<<3)>>3];if((j|0)==(o|0))break;else j=j+1|0}}i=k?g:-g;b=b+8|0;F=72;break}case 3:{if((o|0)>0){j=o;g=+h[G+(o<<3)>>3];do{F=j;j=j+-1|0;E=G+(j<<3)|0;i=+h[E>>3];I=g;g=i+g;h[G+(F<<3)>>3]=I+(i-g);h[E>>3]=g}while((F|0)>1);k=(o|0)>1;if(k){j=o;g=+h[G+(o<<3)>>3];do{F=j;j=j+-1|0;E=G+(j<<3)|0;I=+h[E>>3];i=g;g=I+g;h[G+(F<<3)>>3]=i+(I-g);h[E>>3]=g}while((F|0)>2);if(k){j=o;i=0.0;while(1){i=i+ +h[G+(j<<3)>>3];if((j|0)>2)j=j+-1|0;else break}}else i=0.0}else i=0.0}else i=0.0;g=+h[G>>3];if(!p){h[b>>3]=g;g=+h[G+8>>3]}else{h[b>>3]=-g;i=-i;g=-+h[G+8>>3]}h[b+8>>3]=g;b=b+16|0;F=72;break}default:{}}if((F|0)==72)h[b>>3]=i;l=H;return s&7|0}function IJ(a,b){a=+a;b=b|0;var d=0,e=0;if((b|0)<=1023){if((b|0)<-1022){a=a*2.2250738585072014e-308;e=(b|0)<-2044;d=b+2044|0;a=e?a*2.2250738585072014e-308:a;b=e?((d|0)>-1022?d:-1022):b+1022|0}}else{a=a*8988465674311579538646525.0e283;d=(b|0)>2046;e=b+-2046|0;a=d?a*8988465674311579538646525.0e283:a;b=d?((e|0)<1023?e:1023):b+-1023|0}d=ON(b+1023|0,0,52)|0;e=z;c[j>>2]=d;c[j+4>>2]=e;return +(a*+h[j>>3])}function JJ(a){a=+a;var b=0,d=0,e=0,f=0.0,g=0.0;h[j>>3]=a;d=c[j+4>>2]|0;b=d&2147483647;do if(b>>>0>2146435071)a=a+a;else{if(b>>>0<1048576){h[j>>3]=a*18014398509481984.0;d=c[j+4>>2]|0;b=d&2147483647;if(!b)break;else e=696219795}else e=715094163;c[j>>2]=0;c[j+4>>2]=((b>>>0)/3|0)+e|d&-2147483648;f=+h[j>>3];g=f*f*(f/a);h[j>>3]=(g*(g*g)*(g*.14599619288661245+-.758397934778766)+(g*(g*1.6214297201053545+-1.8849797954337717)+1.87595182427177))*f;d=HN(c[j>>2]|0,c[j+4>>2]|0,-2147483648,0)|0;e=z;c[j>>2]=d&-1073741824;c[j+4>>2]=e;f=+h[j>>3];a=a/(f*f);a=(a-f)/(f+f+a)*f+f}while(0);return +a}function KJ(a,b){a=+a;b=+b;var d=0,e=0;h[j>>3]=a;e=c[j>>2]|0;d=c[j+4>>2]|0;h[j>>3]=b;d=c[j+4>>2]&-2147483648|d&2147483647;c[j>>2]=e;c[j+4>>2]=d;return +(+h[j>>3])}function LJ(a,b){a=+a;b=+b;return +(+KJ(a,b))}function MJ(a,b){a=+a;b=b|0;return +(+IJ(a,b))}function NJ(a,b){a=+a;b=+b;return +(+OJ(a,b))}function OJ(a,b){a=+a;b=+b;var d=0,e=0,f=0,g=0,i=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0;h[j>>3]=a;i=c[j>>2]|0;l=c[j+4>>2]|0;h[j>>3]=b;n=c[j>>2]|0;o=c[j+4>>2]|0;e=NN(i|0,l|0,52)|0;e=e&2047;m=NN(n|0,o|0,52)|0;m=m&2047;p=l&-2147483648;g=ON(n|0,o|0,1)|0;k=z;a:do if(!((g|0)==0&(k|0)==0)?(f=PJ(b)|0,d=z&2147483647,!((e|0)==2047|(d>>>0>2146435072|(d|0)==2146435072&f>>>0>0))):0){d=ON(i|0,l|0,1)|0;f=z;if(!(f>>>0>k>>>0|(f|0)==(k|0)&d>>>0>g>>>0))return +((d|0)==(g|0)&(f|0)==(k|0)?a*0.0:a);if(!e){d=ON(i|0,l|0,12)|0;f=z;if((f|0)>-1|(f|0)==-1&d>>>0>4294967295){e=0;do{e=e+-1|0;d=ON(d|0,f|0,1)|0;f=z}while((f|0)>-1|(f|0)==-1&d>>>0>4294967295)}else e=0;i=ON(i|0,l|0,1-e|0)|0;g=z}else 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a=-1;l=e;return a|0}function eK(b){b=b|0;var d=0,e=0;d=b+74|0;e=a[d>>0]|0;a[d>>0]=e+255|e;d=b+20|0;e=b+28|0;if((c[d>>2]|0)>>>0>(c[e>>2]|0)>>>0)bb[c[b+36>>2]&31](b,0,0)|0;c[b+16>>2]=0;c[e>>2]=0;c[d>>2]=0;d=c[b>>2]|0;if(!(d&4)){e=(c[b+44>>2]|0)+(c[b+48>>2]|0)|0;c[b+8>>2]=e;c[b+4>>2]=e;d=d<<27>>31}else{c[b>>2]=d|32;d=-1}return d|0}function fK(a){a=a|0;return (a+-48|0)>>>0<10|0}function gK(a){a=a|0;if(!(hK(a)|0))a=(_J(a)|0)!=0&1;else a=1;return a|0}function hK(a){a=a|0;return ((a|32)+-97|0)>>>0<26|0}function iK(b,c){b=b|0;c=c|0;var e=0,f=0,g=0;e=a[b>>0]|0;a:do if(!(e<<24>>24))b=0;else{g=b;b=e;f=e&255;while(1){e=a[c>>0]|0;if(!(e<<24>>24))break a;if(b<<24>>24!=e<<24>>24?(f=jK(f)|0,(f|0)!=(jK(d[c>>0]|0)|0)):0)break;b=g+1|0;c=c+1|0;e=a[b>>0]|0;if(!(e<<24>>24)){b=0;break a}else{g=b;b=e;f=e&255}}b=a[g>>0]|0}while(0);g=jK(b&255)|0;return g-(jK(d[c>>0]|0)|0)|0}function jK(a){a=a|0;var b=0;b=(kK(a)|0)==0;return (b?a:a|32)|0}function kK(a){a=a|0;return (a+-65|0)>>>0<26|0}function lK(a){a=a|0;return mK(a,0)|0}function mK(c,f){c=c|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0;k=(f<<1)+-1|0;l=f+-1|0;a:do if(!((c+-43008|0)>>>0<22272|((c+-11776|0)>>>0<30784|((c+-1536|0)>>>0<2560|(nK(c)|0)==0)))){g=(f|0)!=0;if(g&(c+-4256|0)>>>0<46){if((c|0)>4293)switch(c|0){case 4295:case 4301:break;default:break a}c=c+7264|0;break}if((c+-11520|0)>>>0<38&(g^1)){c=c+-7264|0;break}else g=0;do{i=a[59170+(g<<2)+2>>0]|0;j=i<<24>>24;h=c-(e[59170+(g<<2)>>1]|0)|0;if((h-(l&j)|0)>>>0<(d[59170+(g<<2)+3>>0]|0)>>>0){m=11;break}g=g+1|0}while((g|0)!=61);if((m|0)==11)if(i<<24>>24==1){c=f+c-(h&1)|0;break}else{c=(O(k,j)|0)+c|0;break}i=1-f|0;g=b[58682+(i<<1)>>1]|0;b:do if(g<<16>>16){h=0;while(1){if((g&65535|0)==(c|0))break;h=h+1|0;g=b[58682+(h<<2)+(i<<1)>>1]|0;if(!(g<<16>>16))break b}c=e[58682+(h<<2)+(f<<1)>>1]|0;break a}while(0);return ((c+-66600+(f*40|0)|0)>>>0<40?c+-40+(f*80|0)|0:c)|0}while(0);return c|0}function nK(a){a=a|0;if(a>>>0<131072)a=(d[131159+((d[131159+(a>>>8)>>0]|0)<<5|a>>>3&31)>>0]|0)>>>(a&7)&1;else a=a>>>0<196606&1;return a|0}function oK(a){a=a|0;var b=0;b=a;while(1)if(!(c[b>>2]|0))break;else b=b+4|0;return b-a>>2|0}function pK(b,c,e){b=b|0;c=c|0;e=e|0;var f=0,g=0,h=0;if(!e)b=0;else{f=a[b>>0]|0;a:do if(!(f<<24>>24))b=0;else{h=b;b=f;f=f&255;while(1){e=e+-1|0;g=a[c>>0]|0;if(!((e|0)!=0&g<<24>>24!=0))break a;if(b<<24>>24!=g<<24>>24?(g=jK(f)|0,(g|0)!=(jK(d[c>>0]|0)|0)):0)break;b=h+1|0;c=c+1|0;f=a[b>>0]|0;if(!(f<<24>>24)){b=0;break a}else{h=b;b=f;f=f&255}}b=a[h>>0]|0}while(0);b=jK(b&255)|0;b=b-(jK(d[c>>0]|0)|0)|0}return b|0}function qK(a){a=a|0;if(a>>>0>=255)if((a+-57344|0)>>>0<8185|(a>>>0<8232|(a+-8234|0)>>>0<47062))a=1;else return (a&65534|0)!=65534&(a+-65532|0)>>>0<1048580&1|0;else a=(a+1&127)>>>0>32&1;return a|0}function rK(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0;k=l;l=l+16|0;g=k;i=(f|0)==0?170764:f;f=c[i>>2]|0;a:do if(!d)if(!f)f=0;else j=17;else{h=(b|0)==0?g:b;if(!e)f=-2;else{if(!f){f=a[d>>0]|0;if(f<<24>>24>-1){c[h>>2]=f&255;f=f<<24>>24!=0&1;break}g=(c[c[(vK()|0)+188>>2]>>2]|0)==0;f=a[d>>0]|0;if(g){c[h>>2]=f<<24>>24&57343;f=1;break}f=(f&255)+-194|0;if(f>>>0>50){j=17;break}f=c[55208+(f<<2)>>2]|0;g=e+-1|0;if(g){d=d+1|0;j=11}}else{g=e;j=11}b:do if((j|0)==11){b=a[d>>0]|0;m=(b&255)>>>3;if((m+-16|m+(f>>26))>>>0>7){j=17;break a}while(1){d=d+1|0;f=(b&255)+-128|f<<6;g=g+-1|0;if((f|0)>=0)break;if(!g)break b;b=a[d>>0]|0;if((b&-64)<<24>>24!=-128){j=17;break a}}c[i>>2]=0;c[h>>2]=f;f=e-g|0;break a}while(0);c[i>>2]=f;f=-2}}while(0);if((j|0)==17){c[i>>2]=0;c[(jJ()|0)>>2]=84;f=-1}l=k;return f|0}function sK(a,b){a=a|0;b=b|0;if(!a)a=0;else a=tK(a,b,0)|0;return a|0}function tK(b,d,e){b=b|0;d=d|0;e=e|0;do if(b){if(d>>>0<128){a[b>>0]=d;b=1;break}if(!(c[c[(uK()|0)+188>>2]>>2]|0))if((d&-128|0)==57216){a[b>>0]=d;b=1;break}else{c[(jJ()|0)>>2]=84;b=-1;break}if(d>>>0<2048){a[b>>0]=d>>>6|192;a[b+1>>0]=d&63|128;b=2;break}if(d>>>0<55296|(d&-8192|0)==57344){a[b>>0]=d>>>12|224;a[b+1>>0]=d>>>6&63|128;a[b+2>>0]=d&63|128;b=3;break}if((d+-65536|0)>>>0<1048576){a[b>>0]=d>>>18|240;a[b+1>>0]=d>>>12&63|128;a[b+2>>0]=d>>>6&63|128;a[b+3>>0]=d&63|128;b=4;break}else{c[(jJ()|0)>>2]=84;b=-1;break}}else b=1;while(0);return b|0}function uK(){return AJ()|0}function vK(){return AJ()|0}function wK(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0;p=l;l=l+272|0;n=p+8|0;o=p;do if(!(a[d>>0]|0)){d=Na(134135)|0;if(d|0?a[d>>0]|0:0)break;d=Na(134142+(b*12|0)|0)|0;if(d|0?a[d>>0]|0:0)break;d=Na(134214)|0;if(d|0?a[d>>0]|0:0)break;d=134219}while(0);e=0;a:do{switch(a[d+e>>0]|0){case 47:case 0:break a;default:{}}e=e+1|0}while(e>>>0<15);f=a[d>>0]|0;if(f<<24>>24!=46?(a[d+e>>0]|0)==0:0)if(f<<24>>24==67)m=15;else{k=d;m=16}else{d=134219;m=15}if((m|0)==15)if(!(a[d+1>>0]|0))m=18;else{k=d;m=16}b:do if((m|0)==16)if((xJ(k,134219)|0)!=0?(xJ(k,134227)|0)!=0:0){d=c[42692]|0;if(d|0)do{if(!(xJ(k,d+8|0)|0))break b;d=c[d+24>>2]|0}while((d|0)!=0);pa(170772);d=c[42692]|0;c:do if(d|0){while(1){if(!(xJ(k,d+8|0)|0))break;d=c[d+24>>2]|0;if(!d)break c}Fa(170772);break b}while(0);d:do if(((c[42677]|0)==0?(g=Na(134233)|0,(g|0)!=0):0)?(a[g>>0]|0)!=0:0){i=254-e|0;j=e+1|0;f=g;while(1){h=qJ(f,58)|0;d=a[h>>0]|0;g=h-f+((d<<24>>24!=0)<<31>>31)|0;if(g>>>0<i>>>0){TN(n|0,f|0,g|0)|0;f=n+g|0;a[f>>0]=47;TN(f+1|0,k|0,e|0)|0;a[n+(j+g)>>0]=0;f=qa(n|0,o|0)|0;if(f|0)break;d=a[h>>0]|0}f=h+(d<<24>>24!=0&1)|0;if(!(a[f>>0]|0)){m=41;break d}}d=ZI(28)|0;if(!d){nJ(f,c[o>>2]|0)|0;m=41;break}else{c[d>>2]=f;c[d+4>>2]=c[o>>2];o=d+8|0;TN(o|0,k|0,e|0)|0;a[o+e>>0]=0;c[d+24>>2]=c[42692];c[42692]=d;break}}else m=41;while(0);if((m|0)==41){d=ZI(28)|0;if(d){c[d>>2]=c[13790];c[d+4>>2]=c[13791];o=d+8|0;TN(o|0,k|0,e|0)|0;a[o+e>>0]=0;c[d+24>>2]=c[42692];c[42692]=d}}Fa(170772);d=(b|0)==0&(d|0)==0?55160:d}else{d=k;m=18}while(0);do if((m|0)==18){if((b|0)==0?(a[d+1>>0]|0)==46:0){d=55160;break}d=0}while(0);l=p;return d|0}function xK(a,b){a=a|0;b=b|0;yK(a,b)|0;return a|0}function yK(b,d){b=b|0;d=d|0;var e=0,f=0;e=d;a:do if(!((e^b)&3)){if(e&3)do{e=a[d>>0]|0;a[b>>0]=e;if(!(e<<24>>24))break a;d=d+1|0;b=b+1|0}while((d&3|0)!=0);e=c[d>>2]|0;if(!((e&-2139062144^-2139062144)&e+-16843009)){f=b;while(1){d=d+4|0;b=f+4|0;c[f>>2]=e;e=c[d>>2]|0;if((e&-2139062144^-2139062144)&e+-16843009|0)break;else f=b}}f=8}else f=8;while(0);if((f|0)==8){f=a[d>>0]|0;a[b>>0]=f;if(f<<24>>24)do{d=d+1|0;b=b+1|0;f=a[d>>0]|0;a[b>>0]=f}while(f<<24>>24!=0)}return b|0}function zK(a){a=a|0;return ((a|0)==32|(a|0)==9)&1|0}function AK(a){a=a|0;if(!a)a=0;else a=(BK(56324,a)|0)!=0&1;return a|0}function BK(a,b){a=a|0;b=b|0;var d=0;if(!b)a=a+((oK(a)|0)<<2)|0;else{while(1){d=c[a>>2]|0;if((d|0)==0|(d|0)==(b|0))break;else a=a+4|0}a=d|0?a:0}return a|0}function CK(a,b){a=a|0;b=b|0;do switch(b|0){case 1:{a=DK(a)|0;break}case 2:{a=nK(a)|0;break}case 3:{a=EK(a)|0;break}case 4:{a=FK(a)|0;break}case 5:{a=fK(a)|0;break}case 6:{a=GK(a)|0;break}case 7:{a=HK(a)|0;break}case 8:{a=qK(a)|0;break}case 9:{a=UJ(a)|0;break}case 10:{a=AK(a)|0;break}case 11:{a=IK(a)|0;break}case 12:{a=JK(a)|0;break}default:a=0}while(0);return a|0}function DK(a){a=a|0;if(!(fK(a)|0))a=(nK(a)|0)!=0&1;else a=1;return a|0}function EK(a){a=a|0;return zK(a)|0}function FK(a){a=a|0;return ((a+-65529|0)>>>0<3|((a&-2|0)==8232|(a>>>0<32|(a+-127|0)>>>0<33)))&1|0}function GK(a){a=a|0;if(!(AK(a)|0))a=(qK(a)|0)!=0&1;else a=0;return a|0}function HK(a){a=a|0;return (lK(a)|0)!=(a|0)|0}function IK(a){a=a|0;return (KK(a)|0)!=(a|0)|0}function JK(a){a=a|0;return ((a+-48|0)>>>0<10|((a|32)+-97|0)>>>0<6)&1|0}function KK(a){a=a|0;return mK(a,1)|0}function LK(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+128|0;g=n+124|0;m=n;h=m;i=56412;j=h+124|0;do{c[h>>2]=c[i>>2];h=h+4|0;i=i+4|0}while((h|0)<(j|0));if((d+-1|0)>>>0>2147483646)if(!d){b=g;d=1;k=4}else{c[(jJ()|0)>>2]=75;d=-1}else k=4;if((k|0)==4){k=-2-b|0;k=d>>>0>k>>>0?k:d;c[m+48>>2]=k;g=m+20|0;c[g>>2]=b;c[m+44>>2]=b;d=b+k|0;b=m+16|0;c[b>>2]=d;c[m+28>>2]=d;d=MK(m,e,f)|0;if(k){m=c[g>>2]|0;a[m+(((m|0)==(c[b>>2]|0))<<31>>31)>>0]=0}}l=n;return d|0}function MK(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;s=l;l=l+224|0;n=s+120|0;p=s+80|0;q=s;r=s+136|0;f=p;g=f+40|0;do{c[f>>2]=0;f=f+4|0}while((f|0)<(g|0));c[n>>2]=c[e>>2];if((NK(0,d,n,q,p)|0)<0)e=-1;else{if((c[b+76>>2]|0)>-1)o=OK(b)|0;else o=0;e=c[b>>2]|0;m=e&32;if((a[b+74>>0]|0)<1)c[b>>2]=e&-33;f=b+48|0;if(!(c[f>>2]|0)){g=b+44|0;h=c[g>>2]|0;c[g>>2]=r;i=b+28|0;c[i>>2]=r;j=b+20|0;c[j>>2]=r;c[f>>2]=80;k=b+16|0;c[k>>2]=r+80;e=NK(b,d,n,q,p)|0;if(h){bb[c[b+36>>2]&31](b,0,0)|0;e=(c[j>>2]|0)==0?-1:e;c[g>>2]=h;c[f>>2]=0;c[k>>2]=0;c[i>>2]=0;c[j>>2]=0}}else e=NK(b,d,n,q,p)|0;f=c[b>>2]|0;c[b>>2]=f|m;if(o|0)PK(b);e=(f&32|0)==0?e:-1}l=s;return e|0}function NK(d,e,f,g,i){d=d|0;e=e|0;f=f|0;g=g|0;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0;I=l;l=l+64|0;D=I+16|0;E=I;A=I+24|0;G=I+8|0;H=I+20|0;c[D>>2]=e;w=(d|0)!=0;x=A+40|0;y=x;A=A+39|0;B=G+4|0;j=0;e=0;m=0;a:while(1){do if((e|0)>-1)if((j|0)>(2147483647-e|0)){c[(jJ()|0)>>2]=75;e=-1;break}else{e=j+e|0;break}while(0);r=c[D>>2]|0;j=a[r>>0]|0;if(!(j<<24>>24)){v=88;break}else k=r;b:while(1){switch(j<<24>>24){case 37:{j=k;v=9;break b}case 0:{j=k;break b}default:{}}u=k+1|0;c[D>>2]=u;j=a[u>>0]|0;k=u}c:do if((v|0)==9)while(1){v=0;if((a[k+1>>0]|0)!=37)break c;j=j+1|0;k=k+2|0;c[D>>2]=k;if((a[k>>0]|0)!=37)break;else v=9}while(0);j=j-r|0;if(w)QK(d,r,j);if(j|0)continue;u=(_J(a[(c[D>>2]|0)+1>>0]|0)|0)==0;k=c[D>>2]|0;if(!u?(a[k+2>>0]|0)==36:0){s=(a[k+1>>0]|0)+-48|0;n=1;j=3}else{s=-1;n=m;j=1}j=k+j|0;c[D>>2]=j;k=a[j>>0]|0;u=(k<<24>>24)+-32|0;if(u>>>0>31|(1<<u&75913|0)==0)m=0;else{m=0;do{m=1<<(k<<24>>24)+-32|m;j=j+1|0;c[D>>2]=j;k=a[j>>0]|0;u=(k<<24>>24)+-32|0}while(!(u>>>0>31|(1<<u&75913|0)==0))}if(k<<24>>24==42){if((_J(a[j+1>>0]|0)|0)!=0?(F=c[D>>2]|0,(a[F+2>>0]|0)==36):0){j=F+1|0;c[i+((a[j>>0]|0)+-48<<2)>>2]=10;j=c[g+((a[j>>0]|0)+-48<<3)>>2]|0;k=1;n=F+3|0}else{if(n|0){e=-1;break}if(w){u=(c[f>>2]|0)+(4-1)&~(4-1);j=c[u>>2]|0;c[f>>2]=u+4}else j=0;k=0;n=(c[D>>2]|0)+1|0}c[D>>2]=n;t=(j|0)<0;u=t?0-j|0:j;m=t?m|8192:m;t=k;j=n}else{j=RK(D)|0;if((j|0)<0){e=-1;break}u=j;t=n;j=c[D>>2]|0}do if((a[j>>0]|0)==46){if((a[j+1>>0]|0)!=42){c[D>>2]=j+1;p=RK(D)|0;j=c[D>>2]|0;break}if(_J(a[j+2>>0]|0)|0?(C=c[D>>2]|0,(a[C+3>>0]|0)==36):0){p=C+2|0;c[i+((a[p>>0]|0)+-48<<2)>>2]=10;p=c[g+((a[p>>0]|0)+-48<<3)>>2]|0;j=C+4|0;c[D>>2]=j;break}if(t|0){e=-1;break a}if(w){q=(c[f>>2]|0)+(4-1)&~(4-1);j=c[q>>2]|0;c[f>>2]=q+4}else j=0;q=(c[D>>2]|0)+2|0;c[D>>2]=q;p=j;j=q}else p=-1;while(0);q=0;while(1){if(((a[j>>0]|0)+-65|0)>>>0>57){e=-1;break a}k=j;j=j+1|0;c[D>>2]=j;k=a[(a[k>>0]|0)+-65+(134246+(q*58|0))>>0]|0;n=k&255;if((n+-1|0)>>>0>=8)break;else q=n}if(!(k<<24>>24)){e=-1;break}o=(s|0)>-1;do if(k<<24>>24==19)if(o){e=-1;break a}else v=50;else{if(o){c[i+(s<<2)>>2]=n;o=g+(s<<3)|0;s=c[o+4>>2]|0;v=E;c[v>>2]=c[o>>2];c[v+4>>2]=s;v=50;break}if(!w){e=0;break a}SK(E,n,f);j=c[D>>2]|0}while(0);if((v|0)==50){v=0;if(!w){j=0;m=t;continue}}k=a[j+-1>>0]|0;k=(q|0)!=0&(k&15|0)==3?k&-33:k;j=m&-65537;s=(m&8192|0)==0?m:j;d:do switch(k|0){case 110:switch((q&255)<<24>>24){case 0:{c[c[E>>2]>>2]=e;j=0;m=t;continue a}case 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67:{c[G>>2]=c[E>>2];c[B>>2]=0;c[E>>2]=G;p=-1;m=G;v=76;break}case 83:{j=c[E>>2]|0;if(!p){WK(d,32,u,0,s);j=0;v=85}else{m=j;v=76}break}case 65:case 71:case 70:case 69:case 97:case 103:case 102:case 101:{j=XK(d,+h[E>>3],u,p,s,k)|0;m=t;continue a}default:{q=0;n=134710;o=x;k=p;j=s}}while(0);e:do if((v|0)==62){s=E;r=c[s>>2]|0;s=c[s+4>>2]|0;o=TK(r,s,x,k&32)|0;n=(m&8|0)==0|(r|0)==0&(s|0)==0;q=n?0:2;n=n?134710:134710+(k>>4)|0;p=j;j=r;k=s;v=68}else if((v|0)==67){o=VK(j,k,x)|0;q=m;m=s;v=68}else if((v|0)==72){v=0;s=ZJ(k,0,p)|0;m=(s|0)==0;r=k;q=0;n=134710;o=m?k+p|0:s;k=m?p:s-k|0}else if((v|0)==76){v=0;o=m;j=0;k=0;while(1){n=c[o>>2]|0;if(!n)break;k=sK(H,n)|0;if((k|0)<0|k>>>0>(p-j|0)>>>0)break;j=k+j|0;if(p>>>0>j>>>0)o=o+4|0;else break}if((k|0)<0){e=-1;break a}WK(d,32,u,j,s);if(!j){j=0;v=85}else{n=0;while(1){k=c[m>>2]|0;if(!k){v=85;break e}k=sK(H,k)|0;n=k+n|0;if((n|0)>(j|0)){v=85;break e}QK(d,H,k);if(n>>>0>=j>>>0){v=85;break}else 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if(b>>>0<=20)do switch(b|0){case 9:{e=(c[d>>2]|0)+(4-1)&~(4-1);b=c[e>>2]|0;c[d>>2]=e+4;c[a>>2]=b;break a}case 10:{e=(c[d>>2]|0)+(4-1)&~(4-1);b=c[e>>2]|0;c[d>>2]=e+4;e=a;c[e>>2]=b;c[e+4>>2]=((b|0)<0)<<31>>31;break a}case 11:{e=(c[d>>2]|0)+(4-1)&~(4-1);b=c[e>>2]|0;c[d>>2]=e+4;e=a;c[e>>2]=b;c[e+4>>2]=0;break a}case 12:{e=(c[d>>2]|0)+(8-1)&~(8-1);b=e;f=c[b>>2]|0;b=c[b+4>>2]|0;c[d>>2]=e+8;e=a;c[e>>2]=f;c[e+4>>2]=b;break a}case 13:{f=(c[d>>2]|0)+(4-1)&~(4-1);e=c[f>>2]|0;c[d>>2]=f+4;e=(e&65535)<<16>>16;f=a;c[f>>2]=e;c[f+4>>2]=((e|0)<0)<<31>>31;break a}case 14:{f=(c[d>>2]|0)+(4-1)&~(4-1);e=c[f>>2]|0;c[d>>2]=f+4;f=a;c[f>>2]=e&65535;c[f+4>>2]=0;break a}case 15:{f=(c[d>>2]|0)+(4-1)&~(4-1);e=c[f>>2]|0;c[d>>2]=f+4;e=(e&255)<<24>>24;f=a;c[f>>2]=e;c[f+4>>2]=((e|0)<0)<<31>>31;break a}case 16:{f=(c[d>>2]|0)+(4-1)&~(4-1);e=c[f>>2]|0;c[d>>2]=f+4;f=a;c[f>>2]=e&255;c[f+4>>2]=0;break a}case 17:{f=(c[d>>2]|0)+(8-1)&~(8-1);g=+h[f>>3];c[d>>2]=f+8;h[a>>3]=g;break a}case 18:{f=(c[d>>2]|0)+(8-1)&~(8-1);g=+h[f>>3];c[d>>2]=f+8;h[a>>3]=g;break a}default:break a}while(0);while(0);return}function TK(b,c,e,f){b=b|0;c=c|0;e=e|0;f=f|0;if(!((b|0)==0&(c|0)==0))do{e=e+-1|0;a[e>>0]=d[134758+(b&15)>>0]|0|f;b=NN(b|0,c|0,4)|0;c=z}while(!((b|0)==0&(c|0)==0));return e|0}function UK(b,c,d){b=b|0;c=c|0;d=d|0;if(!((b|0)==0&(c|0)==0))do{d=d+-1|0;a[d>>0]=b&7|48;b=NN(b|0,c|0,3)|0;c=z}while(!((b|0)==0&(c|0)==0));return d|0}function VK(b,c,d){b=b|0;c=c|0;d=d|0;var e=0;if(c>>>0>0|(c|0)==0&b>>>0>4294967295){while(1){e=MN(b|0,c|0,10,0)|0;d=d+-1|0;a[d>>0]=e&255|48;e=b;b=LN(b|0,c|0,10,0)|0;if(!(c>>>0>9|(c|0)==9&e>>>0>4294967295))break;else c=z}c=b}else c=b;if(c)while(1){d=d+-1|0;a[d>>0]=(c>>>0)%10|0|48;if(c>>>0<10)break;else c=(c>>>0)/10|0}return d|0}function WK(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;var f=0,g=0;g=l;l=l+256|0;f=g;if((c|0)>(d|0)&(e&73728|0)==0){e=c-d|0;VN(f|0,b<<24>>24|0,(e>>>0<256?e:256)|0)|0;if(e>>>0>255){b=c-d|0;do{QK(a,f,256);e=e+-256|0}while(e>>>0>255);e=b&255}QK(a,f,e)}l=g;return}function XK(b,e,f,g,h,i){b=b|0;e=+e;f=f|0;g=g|0;h=h|0;i=i|0;var j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0;H=l;l=l+560|0;m=H+8|0;u=H;G=H+524|0;F=G;n=H+512|0;c[u>>2]=0;E=n+12|0;YK(e)|0;if((z|0)<0){e=-e;C=1;B=134727}else{C=(h&2049|0)!=0&1;B=(h&2048|0)==0?((h&1|0)==0?134728:134733):134730}YK(e)|0;do if(0==0&(z&2146435072|0)==2146435072){G=(i&32|0)!=0;j=C+3|0;WK(b,32,f,j,h&-65537);QK(b,B,C);QK(b,e!=e|0.0!=0.0?(G?134895:134754):G?134746:134750,3);WK(b,32,f,j,h^8192)}else{r=+TJ(e,u)*2.0;j=r!=0.0;if(j)c[u>>2]=(c[u>>2]|0)+-1;w=i|32;if((w|0)==97){p=i&32;s=(p|0)==0?B:B+9|0;q=C|2;j=12-g|0;do if(!(g>>>0>11|(j|0)==0)){e=8.0;do{j=j+-1|0;e=e*16.0}while((j|0)!=0);if((a[s>>0]|0)==45){e=-(e+(-r-e));break}else{e=r+e-e;break}}else 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if((d|0)>=2?(g=b+(d<<2)|0,c[g>>2]=e,a|0):0)while(1){f=a>>>0<256?a:256;TN(e|0,c[b>>2]|0,f|0)|0;e=0;do{i=b+(e<<2)|0;e=e+1|0;TN(c[i>>2]|0,c[b+(e<<2)>>2]|0,f|0)|0;c[i>>2]=(c[i>>2]|0)+f}while((e|0)!=(d|0));a=a-f|0;if(!a)break a;e=c[g>>2]|0}while(0);l=h;return}function zL(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=l;l=l+16|0;f=e;c[f>>2]=d;d=MK(a,b,f)|0;l=e;return d|0}function AL(b){b=b|0;var d=0,e=0,f=0;f=l;l=l+16|0;e=f;oa(0,e|0)|0;d=0;e=(c[e+4>>2]|0)*65537^(e>>>4)+b;while(1){a[b+d>>0]=(e&15)+65|e<<1&32;d=d+1|0;if((d|0)==6)break;else e=e>>>5}l=f;return b|0}function BL(a,b,c){a=a|0;b=b|0;c=c|0;c=$J(a,b,c,-2147483648,0)|0;return c|0}function CL(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;h=l;l=l+32|0;f=h;e=a[d>>0]|0;a:do if(e<<24>>24!=0?(a[d+1>>0]|0)!=0:0){VN(f|0,0,32)|0;e=a[d>>0]|0;if(e<<24>>24)do{i=f+(((e&255)>>>5&255)<<2)|0;c[i>>2]=c[i>>2]|1<<(e&31);d=d+1|0;e=a[d>>0]|0}while(e<<24>>24!=0);d=a[b>>0]|0;if(!(d<<24>>24))e=b;else{e=b;do{if(c[f+(((d&255)>>>5&255)<<2)>>2]&1<<(d&31)|0)break a;e=e+1|0;d=a[e>>0]|0}while(d<<24>>24!=0)}}else g=3;while(0);if((g|0)==3)e=qJ(b,e<<24>>24)|0;l=h;return e-b|0}function DL(b,d){b=b|0;d=d|0;var e=0;if(!b){b=c[42697]|0;if(!b)b=0;else e=3}else e=3;do if((e|0)==3){b=b+(oL(b,d)|0)|0;if(!(a[b>>0]|0)){c[42697]=0;b=0;break}d=b+(CL(b,d)|0)|0;c[42697]=d;if(!(a[d>>0]|0)){c[42697]=0;break}else{c[42697]=d+1;a[d>>0]=0;break}}while(0);return b|0}function EL(b,c,d){b=b|0;c=c|0;d=d|0;var e=0;e=c&255;do{if(!d){c=0;break}d=d+-1|0;c=b+d|0}while((a[c>>0]|0)!=e<<24>>24);return c|0}function FL(b,d,e){b=b|0;d=d|0;e=e|0;var f=0;if(!b){b=c[e>>2]|0;if(!b)b=0;else f=3}else f=3;do if((f|0)==3){b=b+(oL(b,d)|0)|0;if(!(a[b>>0]|0)){c[e>>2]=0;b=0;break}d=b+(CL(b,d)|0)|0;c[e>>2]=d;if(!(a[d>>0]|0)){c[e>>2]=0;break}else{c[e>>2]=d+1;a[d>>0]=0;break}}while(0);return b|0}function GL(a){a=a|0;var b=0,c=0;b=(rJ(a)|0)+1|0;c=ZI(b)|0;if(!c)a=0;else a=TN(c|0,a|0,b|0)|0;return a|0}function HL(a,b){a=a|0;b=b|0;return EL(a,b,(rJ(a)|0)+1|0)|0}function IL(a,b){a=a|0;b=b|0;xK(a+(rJ(a)|0)|0,b)|0;return a|0}function JL(b,c){b=b|0;c=c|0;c=b+(CL(b,c)|0)|0;return (a[c>>0]|0?c:0)|0}function KL(a){a=a|0;var b=0;if((c[a+76>>2]|0)>-1){b=(OK(a)|0)==0;a=(c[a>>2]|0)>>>4&1}else a=(c[a>>2]|0)>>>4&1;return a|0}function LL(a){a=a|0;var b=0,d=0,e=0,f=0,g=0;if((c[a+76>>2]|0)>-1)f=OK(a)|0;else f=0;ML(a);g=(c[a>>2]&1|0)!=0;if(!g){e=NL()|0;d=c[a+52>>2]|0;b=a+56|0;if(d|0)c[d+56>>2]=c[b>>2];b=c[b>>2]|0;if(b|0)c[b+52>>2]=d;if((c[e>>2]|0)==(a|0))c[e>>2]=b;OL()}b=PL(a)|0;b=$a[c[a+12>>2]&31](a)|0|b;d=c[a+92>>2]|0;if(d|0)_I(d);if(g){if(f|0)PK(a)}else _I(a);return b|0}function ML(a){a=a|0;var b=0;if(c[a+68>>2]|0){b=c[a+116>>2]|0;a=a+112|0;if(b|0)c[b+112>>2]=c[a>>2];a=c[a>>2]|0;if(!a)a=(RL()|0)+232|0;else a=a+116|0;c[a>>2]=b}return}function NL(){pa(170792);return 170800}function OL(){Fa(170792);return}function PL(a){a=a|0;var b=0,d=0;do if(a){if((c[a+76>>2]|0)<=-1){b=QL(a)|0;break}d=(OK(a)|0)==0;b=QL(a)|0;if(!d)PK(a)}else{if(!(c[13917]|0))b=0;else b=PL(c[13917]|0)|0;a=c[(NL()|0)>>2]|0;if(a)do{if((c[a+76>>2]|0)>-1)d=OK(a)|0;else d=0;if((c[a+20>>2]|0)>>>0>(c[a+28>>2]|0)>>>0)b=QL(a)|0|b;if(d|0)PK(a);a=c[a+56>>2]|0}while((a|0)!=0);OL()}while(0);return b|0}function QL(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;b=a+20|0;h=a+28|0;if((c[b>>2]|0)>>>0>(c[h>>2]|0)>>>0?(bb[c[a+36>>2]&31](a,0,0)|0,(c[b>>2]|0)==0):0)a=-1;else{d=a+4|0;e=c[d>>2]|0;f=a+8|0;g=c[f>>2]|0;if(e>>>0<g>>>0)bb[c[a+40>>2]&31](a,e-g|0,1)|0;c[a+16>>2]=0;c[h>>2]=0;c[b>>2]=0;c[f>>2]=0;c[d>>2]=0;a=0}return a|0}function RL(){return AJ()|0}function SL(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+64|0;j=k+40|0;h=k+24|0;g=k+16|0;f=k;i=k+56|0;if(WJ(134882,a[d>>0]|0)|0){e=ZI(1156)|0;if(!e)e=0;else{VN(e|0,0,124)|0;if(!(WJ(d,43)|0))c[e>>2]=(a[d>>0]|0)==114?8:4;if(WJ(d,101)|0){c[f>>2]=b;c[f+4>>2]=2;c[f+8>>2]=1;za(221,f|0)|0}if((a[d>>0]|0)==97){c[g>>2]=b;c[g+4>>2]=3;d=za(221,g|0)|0;if(!(d&1024)){c[h>>2]=b;c[h+4>>2]=4;c[h+8>>2]=d|1024;za(221,h|0)|0}f=c[e>>2]|128;c[e>>2]=f}else f=c[e>>2]|0;c[e+60>>2]=b;c[e+44>>2]=e+132;c[e+48>>2]=1024;d=e+75|0;a[d>>0]=-1;if((f&8|0)==0?(c[j>>2]=b,c[j+4>>2]=21523,c[j+8>>2]=i,(Ca(54,j|0)|0)==0):0)a[d>>0]=10;c[e+32>>2]=6;c[e+36>>2]=9;c[e+40>>2]=7;c[e+12>>2]=15;if(!(c[42676]|0))c[e+76>>2]=-1;TL(e)|0}}else{c[(jJ()|0)>>2]=22;e=0}l=k;return e|0}function TL(a){a=a|0;var b=0,d=0;b=NL()|0;c[a+56>>2]=c[b>>2];d=c[b>>2]|0;if(d|0)c[d+52>>2]=a;c[b>>2]=a;OL();return a|0}function UL(b,e,f){b=b|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0;j=l;l=l+16|0;g=j;a:do if(!e)b=0;else{do if(f|0){i=(b|0)==0?g:b;b=a[e>>0]|0;if(b<<24>>24>-1){c[i>>2]=b&255;b=b<<24>>24!=0&1;break a}h=(c[c[(VL()|0)+188>>2]>>2]|0)==0;b=a[e>>0]|0;if(h){c[i>>2]=b<<24>>24&57343;b=1;break a}b=(b&255)+-194|0;if(b>>>0<=50){g=e+1|0;h=c[55208+(b<<2)>>2]|0;if(f>>>0<4?h&-2147483648>>>((f*6|0)+-6|0)|0:0)break;b=d[g>>0]|0;f=b>>>3;if((f+-16|f+(h>>26))>>>0<=7){b=b+-128|h<<6;if((b|0)>=0){c[i>>2]=b;b=2;break a}g=(d[e+2>>0]|0)+-128|0;if(g>>>0<=63){g=g|b<<6;if((g|0)>=0){c[i>>2]=g;b=3;break a}b=(d[e+3>>0]|0)+-128|0;if(b>>>0<=63){c[i>>2]=b|g<<6;b=4;break a}}}}}while(0);c[(jJ()|0)>>2]=84;b=-1}while(0);l=j;return b|0}function VL(){return AJ()|0}function WL(a,b){a=a|0;b=b|0;var c=0;c=rJ(a)|0;return ((XL(a,1,c,b)|0)!=(c|0))<<31>>31|0}function XL(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;f=O(d,b)|0;d=(b|0)==0?0:d;if((c[e+76>>2]|0)>-1){g=(OK(e)|0)==0;a=ZK(a,f,e)|0;if(!g)PK(e)}else a=ZK(a,f,e)|0;if((a|0)!=(f|0))d=(a>>>0)/(b>>>0)|0;return d|0}function YL(b,e){b=b|0;e=e|0;var f=0,g=0,h=0,i=0,j=0,k=0,m=0;m=l;l=l+16|0;j=m;k=e&255;a[j>>0]=k;g=b+16|0;h=c[g>>2]|0;if(!h)if(!(_K(b)|0)){h=c[g>>2]|0;i=4}else f=-1;else i=4;do if((i|0)==4){i=b+20|0;g=c[i>>2]|0;if(g>>>0<h>>>0?(f=e&255,(f|0)!=(a[b+75>>0]|0)):0){c[i>>2]=g+1;a[g>>0]=k;break}if((bb[c[b+36>>2]&31](b,j,1)|0)==1)f=d[j>>0]|0;else f=-1}while(0);l=m;return f|0}function ZL(b,c){b=b|0;c=c|0;var d=0,e=0,f=0;d=b;e=134867;f=d+15|0;do{a[d>>0]=a[e>>0]|0;d=d+1|0;e=e+1|0}while((d|0)<(f|0));if(!c){a[b+14>>0]=48;a[b+15>>0]=0}else{e=c;d=14;while(1){d=d+1|0;if(e>>>0<10)break;else e=(e>>>0)/10|0}a[b+d>>0]=0;while(1){d=d+-1|0;a[b+d>>0]=(c>>>0)%10|0|48;if(c>>>0<10)break;else c=(c>>>0)/10|0}}return}function _L(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0;g=l;l=l+48|0;f=g+40|0;e=g+8|0;d=g;c[d>>2]=a;c[d+4>>2]=b;d=ya(197,d|0)|0;if((d|0)==-9?(c[e>>2]=a,c[e+4>>2]=1,(za(221,e|0)|0)>=0):0){ZL(e,a);c[f>>2]=e;c[f+4>>2]=b;b=iJ(xa(195,f|0)|0)|0}else b=iJ(d)|0;l=g;return b|0}function $L(a,b){a=a|0;b=b|0;var d=0,e=0;d=l;l=l+16|0;e=d;c[e>>2]=a;c[e+4>>2]=b;b=iJ(Aa(33,e|0)|0)|0;l=d;return b|0}function aM(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0;i=l;l=l+48|0;h=i+32|0;g=i+16|0;e=i;if(WJ(134882,a[d>>0]|0)|0){f=bM(d)|0;c[e>>2]=b;c[e+4>>2]=f|32768;c[e+8>>2]=438;e=iJ(Ba(5,e|0)|0)|0;if((e|0)>=0){if(f&524288|0){c[g>>2]=e;c[g+4>>2]=2;c[g+8>>2]=1;za(221,g|0)|0}b=SL(e,d)|0;if(!b){c[h>>2]=e;Da(6,h|0)|0;b=0}}else b=0}else{c[(jJ()|0)>>2]=22;b=0}l=i;return b|0}function bM(b){b=b|0;var c=0,d=0,e=0;d=(WJ(b,43)|0)==0;c=a[b>>0]|0;d=d?c<<24>>24!=114&1:2;e=(WJ(b,120)|0)==0;d=e?d:d|128;b=(WJ(b,101)|0)==0;b=b?d:d|524288;b=c<<24>>24==114?b:b|64;b=c<<24>>24==119?b|512:b;return (c<<24>>24==97?b|1024:b)|0}function cM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=l;l=l+16|0;f=e;c[f>>2]=d;d=dM(a,b,f)|0;l=e;return d|0}function dM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;g=l;l=l+128|0;e=g;f=e;h=f+124|0;do{c[f>>2]=0;f=f+4|0}while((f|0)<(h|0));c[e+32>>2]=18;c[e+44>>2]=a;c[e+76>>2]=-1;c[e+84>>2]=a;h=fM(e,b,d)|0;l=g;return h|0}function eM(a,b,c){a=a|0;b=b|0;c=c|0;return nM(a,b,c)|0}function fM(b,e,f){b=b|0;e=e|0;f=f|0;var i=0,j=0,k=0,m=0,n=0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0;L=l;l=l+288|0;F=L+8|0;G=L+17|0;H=L;I=L+16|0;if((c[b+76>>2]|0)>-1)K=OK(b)|0;else K=0;i=a[e>>0]|0;a:do if(i<<24>>24){y=b+4|0;A=b+100|0;B=b+108|0;C=b+8|0;D=G+10|0;E=G+33|0;x=F+4|0;p=e;u=0;e=0;j=0;k=i;i=0;b:while(1){c:do if(!(XJ(k&255)|0)){k=(a[p>>0]|0)==37;d:do if(k){m=p+1|0;n=a[m>>0]|0;e:do switch(n<<24>>24){case 37:break d;case 42:{w=0;m=p+2|0;break}default:{if(_J(n&255)|0?(a[p+2>>0]|0)==36:0){w=gM(f,(d[m>>0]|0)+-48|0)|0;m=p+3|0;break e}v=(c[f>>2]|0)+(4-1)&~(4-1);w=c[v>>2]|0;c[f>>2]=v+4}}while(0);if(!(_J(d[m>>0]|0)|0))s=0;else{k=0;do{k=(k*10|0)+-48+(d[m>>0]|0)|0;m=m+1|0}while((_J(d[m>>0]|0)|0)!=0);s=k}p=a[m>>0]|0;n=m+1|0;if(p<<24>>24==109){k=(w|0)!=0&1;j=0;m=n;p=a[n>>0]|0;i=0}else k=0;n=m+1|0;switch(p<<24>>24){case 104:{v=(a[n>>0]|0)==104;p=v?-2:-1;m=v?m+2|0:n;break}case 108:{v=(a[n>>0]|0)==108;p=v?3:1;m=v?m+2|0:n;break}case 106:{p=3;m=n;break}case 116:case 122:{p=1;m=n;break}case 76:{p=2;m=n;break}case 110:case 112:case 67:case 83:case 91:case 99:case 115:case 88:case 71:case 70:case 69:case 65:case 103:case 102:case 101:case 97:case 120:case 117:case 111:case 105:case 100:{p=0;break}default:{J=136;break b}}r=d[m>>0]|0;t=(r&47|0)==3;r=t?r|32:r;t=t?1:p;q=r&255;switch(q<<24>>24){case 99:{s=(s|0)>1?s:1;break}case 91:break;case 110:{hM(w,t,u,((u|0)<0)<<31>>31);n=u;break c}default:{aK(b,0);do{n=c[y>>2]|0;if(n>>>0<(c[A>>2]|0)>>>0){c[y>>2]=n+1;n=d[n>>0]|0}else n=cK(b)|0}while((XJ(n)|0)!=0);if(!(c[A>>2]|0))n=c[y>>2]|0;else{n=(c[y>>2]|0)+-1|0;c[y>>2]=n}u=(c[B>>2]|0)+u+n-(c[C>>2]|0)|0}}aK(b,s);p=c[y>>2]|0;n=c[A>>2]|0;if(p>>>0<n>>>0)c[y>>2]=p+1;else{if((cK(b)|0)<0){J=136;break b}n=c[A>>2]|0}if(n|0)c[y>>2]=(c[y>>2]|0)+-1;f:do switch(q<<24>>24){case 91:case 99:case 115:{v=(r|0)==99;g:do if((r|16|0)==115){VN(G|0,-1,257)|0;a[G>>0]=0;if((r|0)==115){a[E>>0]=0;a[D>>0]=0;a[D+1>>0]=0;a[D+2>>0]=0;a[D+3>>0]=0;a[D+4>>0]=0}}else{n=m+1|0;q=(a[n>>0]|0)==94;r=q&1;m=q?m+2|0:n;VN(G|0,r|0,257)|0;a[G>>0]=0;n=a[m>>0]|0;switch(n<<24>>24){case 45:{n=46;J=65;break}case 93:{n=94;J=65;break}default:{}}while(1){if((J|0)==65){J=0;a[G+n>>0]=r^1;n=m+1|0;m=n;n=a[n>>0]|0}h:do switch(n<<24>>24){case 0:{J=136;break b}case 93:break g;case 45:{q=m+1|0;n=a[q>>0]|0;switch(n<<24>>24){case 93:case 0:{n=45;break h}default:{}}m=a[m+-1>>0]|0;if((m&255)<(n&255)){p=(r^1)&255;m=m&255;do{m=m+1|0;a[G+m>>0]=p;n=a[q>>0]|0}while((m|0)<(n&255|0));m=q}else m=q;break}default:{}}while(0);n=(n&255)+1|0;J=65}}while(0);n=v?s+1|0:31;r=(t|0)==1;t=(k|0)!=0;i:do if(r){if(t){i=ZI(n<<2)|0;if(!i){j=0;i=0;J=136;break b}}else i=w;c[F>>2]=0;c[x>>2]=0;q=n;j=0;j:while(1){p=(i|0)==0;do{k:while(1){n=c[y>>2]|0;if(n>>>0<(c[A>>2]|0)>>>0){c[y>>2]=n+1;n=d[n>>0]|0}else n=cK(b)|0;if(!(a[G+(n+1)>>0]|0))break j;a[I>>0]=n;switch(rK(H,I,1,F)|0){case -1:{j=0;J=136;break b}case -2:break;default:break k}}if(!p){c[i+(j<<2)>>2]=c[H>>2];j=j+1|0}}while(!(t&(j|0)==(q|0)));j=q<<1|1;n=aJ(i,j<<2)|0;if(!n){j=0;J=136;break b}else{p=q;q=j;i=n;j=p}}if(!(iM(F)|0)){j=0;J=136;break b}else{q=j;j=0;p=i}}else{if(t){j=ZI(n)|0;if(!j){j=0;i=0;J=136;break b}else{p=n;i=0}while(1){do{n=c[y>>2]|0;if(n>>>0<(c[A>>2]|0)>>>0){c[y>>2]=n+1;n=d[n>>0]|0}else n=cK(b)|0;if(!(a[G+(n+1)>>0]|0)){q=i;p=0;i=0;break i}a[j+i>>0]=n;i=i+1|0}while((i|0)!=(p|0));i=p<<1|1;n=aJ(j,i)|0;if(!n){i=0;J=136;break b}else{q=p;p=i;j=n;i=q}}}if(!w)while(1){i=c[y>>2]|0;if(i>>>0<(c[A>>2]|0)>>>0){c[y>>2]=i+1;i=d[i>>0]|0}else i=cK(b)|0;if(!(a[G+(i+1)>>0]|0)){q=0;j=0;p=0;i=0;break i}}else j=0;while(1){i=c[y>>2]|0;if(i>>>0<(c[A>>2]|0)>>>0){c[y>>2]=i+1;i=d[i>>0]|0}else i=cK(b)|0;if(!(a[G+(i+1)>>0]|0)){q=j;j=w;p=0;i=0;break i}a[w+j>>0]=i;j=j+1|0}}while(0);if(!(c[A>>2]|0))n=c[y>>2]|0;else{n=(c[y>>2]|0)+-1|0;c[y>>2]=n}n=n-(c[C>>2]|0)+(c[B>>2]|0)|0;if(!n)break b;if(!((n|0)==(s|0)|v^1))break b;do if(t)if(r){c[w>>2]=p;break}else{c[w>>2]=j;break}while(0);if(!v){if(p|0)c[p+(q<<2)>>2]=0;if(!j){j=0;break f}a[j+q>>0]=0}break}case 120:case 88:case 112:{n=16;J=124;break}case 111:{n=8;J=124;break}case 117:case 100:{n=10;J=124;break}case 105:{n=0;J=124;break}case 71:case 103:case 70:case 102:case 69:case 101:case 65:case 97:{o=+jM(b,t,0);if((c[B>>2]|0)==((c[C>>2]|0)-(c[y>>2]|0)|0))break b;if(w)switch(t|0){case 0:{g[w>>2]=o;break f}case 1:{h[w>>3]=o;break f}case 2:{h[w>>3]=o;break f}default:break f}break}default:{}}while(0);do if((J|0)==124){J=0;n=bK(b,n,0,-1,-1)|0;if((c[B>>2]|0)==((c[C>>2]|0)-(c[y>>2]|0)|0))break b;if((w|0)!=0&(r|0)==112){c[w>>2]=n;break}else{hM(w,t,n,z);break}}while(0);e=e+((w|0)!=0&1)|0;n=(c[B>>2]|0)+u+(c[y>>2]|0)-(c[C>>2]|0)|0;break c}while(0);m=p+(k&1)|0;aK(b,0);k=c[y>>2]|0;if(k>>>0<(c[A>>2]|0)>>>0){c[y>>2]=k+1;k=d[k>>0]|0}else k=cK(b)|0;if((k|0)!=(d[m>>0]|0)){J=22;break b}n=u+1|0}else{m=p;while(1){k=m+1|0;if(!(XJ(d[k>>0]|0)|0))break;else m=k}aK(b,0);do{k=c[y>>2]|0;if(k>>>0<(c[A>>2]|0)>>>0){c[y>>2]=k+1;k=d[k>>0]|0}else k=cK(b)|0}while((XJ(k)|0)!=0);if(!(c[A>>2]|0))k=c[y>>2]|0;else{k=(c[y>>2]|0)+-1|0;c[y>>2]=k}n=(c[B>>2]|0)+u+k-(c[C>>2]|0)|0}while(0);p=m+1|0;k=a[p>>0]|0;if(!(k<<24>>24))break a;else u=n}if((J|0)==22){if(c[A>>2]|0)c[y>>2]=(c[y>>2]|0)+-1;if((e|0)!=0|(k|0)>-1)break;else{e=0;J=137}}else if((J|0)==136)if(!e){e=k;J=137}if((J|0)==137){k=e;e=-1}if(k){_I(j);_I(i)}}else e=0;while(0);if(K|0)PK(b);l=L;return e|0}function gM(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;e=l;l=l+16|0;d=e;c[d>>2]=c[a>>2];while(1){f=(c[d>>2]|0)+(4-1)&~(4-1);a=c[f>>2]|0;c[d>>2]=f+4;if(b>>>0>1)b=b+-1|0;else break}l=e;return a|0}function hM(d,e,f,g){d=d|0;e=e|0;f=f|0;g=g|0;a:do if(d|0)switch(e|0){case -2:{a[d>>0]=f;break a}case -1:{b[d>>1]=f;break a}case 0:{c[d>>2]=f;break a}case 1:{c[d>>2]=f;break a}case 3:{e=d;c[e>>2]=f;c[e+4>>2]=g;break a}default:break a}while(0);return}function iM(a){a=a|0;if(!a)a=1;else a=(c[a>>2]|0)==0&1;return a|0}function jM(b,e,f){b=b|0;e=e|0;f=f|0;var g=0.0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;switch(e|0){case 0:{l=-149;m=24;j=4;break}case 1:{l=-1074;m=53;j=4;break}case 2:{l=-1074;m=53;j=4;break}default:g=0.0}a:do if((j|0)==4){o=b+4|0;n=b+100|0;do{e=c[o>>2]|0;if(e>>>0<(c[n>>2]|0)>>>0){c[o>>2]=e+1;e=d[e>>0]|0}else e=cK(b)|0}while((XJ(e)|0)!=0);b:do switch(e|0){case 43:case 45:{i=1-(((e|0)==45&1)<<1)|0;e=c[o>>2]|0;if(e>>>0<(c[n>>2]|0)>>>0){c[o>>2]=e+1;h=d[e>>0]|0;break b}else{h=cK(b)|0;break b}}default:{h=e;i=1}}while(0);e=0;do{if((h|32|0)!=(a[134886+e>>0]|0))break;do if(e>>>0<7){h=c[o>>2]|0;if(h>>>0<(c[n>>2]|0)>>>0){c[o>>2]=h+1;h=d[h>>0]|0;break}else{h=cK(b)|0;break}}while(0);e=e+1|0}while(e>>>0<8);c:do switch(e|0){case 8:break;case 3:{j=23;break}default:{k=(f|0)!=0;if(k&e>>>0>3)if((e|0)==8)break c;else{j=23;break c}d:do if(!e){e=0;do{if((h|32|0)!=(a[134895+e>>0]|0))break d;do if(e>>>0<2){h=c[o>>2]|0;if(h>>>0<(c[n>>2]|0)>>>0){c[o>>2]=h+1;h=d[h>>0]|0;break}else{h=cK(b)|0;break}}while(0);e=e+1|0}while(e>>>0<3)}while(0);switch(e|0){case 3:{e=c[o>>2]|0;if(e>>>0<(c[n>>2]|0)>>>0){c[o>>2]=e+1;e=d[e>>0]|0}else e=cK(b)|0;if((e|0)==40)e=1;else{if(!(c[n>>2]|0)){g=s;break a}c[o>>2]=(c[o>>2]|0)+-1;g=s;break a}while(1){h=c[o>>2]|0;if(h>>>0<(c[n>>2]|0)>>>0){c[o>>2]=h+1;h=d[h>>0]|0}else h=cK(b)|0;if(!((h+-48|0)>>>0<10|(h+-65|0)>>>0<26)?!((h|0)==95|(h+-97|0)>>>0<26):0)break;e=e+1|0}if((h|0)==41){g=s;break a}h=(c[n>>2]|0)==0;if(!h)c[o>>2]=(c[o>>2]|0)+-1;if(!k){c[(jJ()|0)>>2]=22;aK(b,0);g=0.0;break a}if(!e){g=s;break a}while(1){e=e+-1|0;if(!h)c[o>>2]=(c[o>>2]|0)+-1;if(!e){g=s;break a}}}case 0:{if((h|0)==48){e=c[o>>2]|0;if(e>>>0<(c[n>>2]|0)>>>0){c[o>>2]=e+1;e=d[e>>0]|0}else e=cK(b)|0;if((e|32|0)==120){g=+kM(b,m,l,i,f);break a}if(!(c[n>>2]|0))e=48;else{c[o>>2]=(c[o>>2]|0)+-1;e=48}}else e=h;g=+lM(b,e,m,l,i,f);break a}default:{if(c[n>>2]|0)c[o>>2]=(c[o>>2]|0)+-1;c[(jJ()|0)>>2]=22;aK(b,0);g=0.0;break a}}}}while(0);if((j|0)==23){h=(c[n>>2]|0)==0;if(!h)c[o>>2]=(c[o>>2]|0)+-1;if((f|0)!=0&e>>>0>3)do{if(!h)c[o>>2]=(c[o>>2]|0)+-1;e=e+-1|0}while(e>>>0>3)}g=+(i|0)*t}while(0);return +g}function kM(a,b,e,f,g){a=a|0;b=b|0;e=e|0;f=f|0;g=g|0;var h=0.0,i=0,j=0,k=0.0,l=0,m=0,n=0,o=0.0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0;y=a+4|0;i=c[y>>2]|0;x=a+100|0;if(i>>>0<(c[x>>2]|0)>>>0){c[y>>2]=i+1;j=d[i>>0]|0;l=0}else{j=cK(a)|0;l=0}a:while(1){switch(j|0){case 46:{w=8;break a}case 48:break;default:{s=0;n=0;o=1.0;h=0.0;i=0;m=j;t=l;v=0;u=0;l=0;j=0;break a}}i=c[y>>2]|0;if(i>>>0<(c[x>>2]|0)>>>0){c[y>>2]=i+1;j=d[i>>0]|0;l=1;continue}else{j=cK(a)|0;l=1;continue}}if((w|0)==8){i=c[y>>2]|0;if(i>>>0<(c[x>>2]|0)>>>0){c[y>>2]=i+1;j=d[i>>0]|0}else j=cK(a)|0;if((j|0)==48){l=0;j=0;do{i=c[y>>2]|0;if(i>>>0<(c[x>>2]|0)>>>0){c[y>>2]=i+1;m=d[i>>0]|0}else m=cK(a)|0;l=HN(l|0,j|0,-1,-1)|0;j=z}while((m|0)==48);s=1;n=0;o=1.0;h=0.0;i=0;t=1;v=0;u=0}else{s=1;n=0;o=1.0;h=0.0;i=0;m=j;t=l;v=0;u=0;l=0;j=0}}while(1){q=m+-48|0;p=m|32;if(q>>>0>=10){r=(m|0)==46;if(!(r|(p+-97|0)>>>0<6))break;if(r)if(!s){s=1;k=o;r=t;l=u;j=v;q=u;p=v}else{m=46;break}else w=20}else w=20;if((w|0)==20){w=0;m=(m|0)>57?p+-87|0:q;do if(!((v|0)<0|(v|0)==0&u>>>0<8))if((v|0)<0|(v|0)==0&u>>>0<14){o=o*.0625;k=o;h=h+o*+(m|0);break}else{t=(n|0)!=0|(m|0)==0;n=t?n:1;k=o;h=t?h:h+o*.5;break}else{k=o;i=m+(i<<4)|0}while(0);q=HN(u|0,v|0,1,0)|0;r=1;p=z}m=c[y>>2]|0;if(m>>>0<(c[x>>2]|0)>>>0){c[y>>2]=m+1;o=k;m=d[m>>0]|0;t=r;v=p;u=q;continue}else{o=k;m=cK(a)|0;t=r;v=p;u=q;continue}}do if(!t){i=(c[x>>2]|0)==0;if(!i)c[y>>2]=(c[y>>2]|0)+-1;if(g){if(!i)c[y>>2]=(c[y>>2]|0)+-1;if(!((s|0)==0|i))c[y>>2]=(c[y>>2]|0)+-1}else aK(a,0);h=+(f|0)*0.0}else{p=(s|0)==0;q=p?u:l;p=p?v:j;if((v|0)<0|(v|0)==0&u>>>0<8){l=u;j=v;while(1){i=i<<4;w=l;l=HN(l|0,j|0,1,0)|0;if(!((j|0)<0|(j|0)==0&w>>>0<7)){n=i;break}else j=z}}else n=i;if((m|32|0)==112){j=mM(a,g)|0;i=z;if((j|0)==0&(i|0)==-2147483648){if(!g){aK(a,0);h=0.0;break}if(!(c[x>>2]|0)){j=0;i=0}else{c[y>>2]=(c[y>>2]|0)+-1;j=0;i=0}}}else if(!(c[x>>2]|0)){j=0;i=0}else{c[y>>2]=(c[y>>2]|0)+-1;j=0;i=0}l=ON(q|0,p|0,2)|0;l=HN(l|0,z|0,-32,-1)|0;l=HN(l|0,z|0,j|0,i|0)|0;i=z;if(!n){h=+(f|0)*0.0;break}y=0-e|0;g=((y|0)<0)<<31>>31;if((i|0)>(g|0)|(i|0)==(g|0)&l>>>0>y>>>0){c[(jJ()|0)>>2]=34;h=+(f|0)*1797693134862315708145274.0e284*1797693134862315708145274.0e284;break}y=e+-106|0;g=((y|0)<0)<<31>>31;if((i|0)<(g|0)|(i|0)==(g|0)&l>>>0<y>>>0){c[(jJ()|0)>>2]=34;h=+(f|0)*2.2250738585072014e-308*2.2250738585072014e-308;break}if((n|0)>-1){j=n;do{y=!(h>=.5);j=j<<1|(y^1)&1;h=h+(y?h:h+-1.0);l=HN(l|0,i|0,-1,-1)|0;i=z}while((j|0)>-1);o=h;m=j}else{o=h;m=n}y=((b|0)<0)<<31>>31;e=IN(32,0,e|0,((e|0)<0)<<31>>31|0)|0;i=HN(e|0,z|0,l|0,i|0)|0;e=z;if((e|0)<(y|0)|(e|0)==(y|0)&i>>>0<b>>>0)if((i|0)>0)w=59;else{j=0;i=84;w=61}else{i=b;w=59}if((w|0)==59)if((i|0)<53){j=i;i=84-i|0;w=61}else{k=0.0;h=+(f|0)}if((w|0)==61){h=+(f|0);k=+LJ(+IJ(1.0,i),h);i=j}f=(m&1|0)==0&(o!=0.0&(i|0)<32);h=(f?0.0:o)*h+(k+h*+((m+(f&1)|0)>>>0))-k;if(!(h!=0.0))c[(jJ()|0)>>2]=34;h=+MJ(h,l)}while(0);return +h}function lM(a,b,e,f,g,h){a=a|0;b=b|0;e=e|0;f=f|0;g=g|0;h=h|0;var i=0.0,j=0.0,k=0,m=0,n=0,o=0,p=0,q=0,r=0.0,s=0.0,t=0.0,u=0,v=0,w=0,x=0,y=0,A=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0.0;J=l;l=l+512|0;G=J;H=f+e|0;I=0-H|0;D=a+4|0;E=a+100|0;k=0;a:while(1){switch(b|0){case 46:{A=6;break a}case 48:break;default:{v=0;p=k;q=0;o=0;break a}}b=c[D>>2]|0;if(b>>>0<(c[E>>2]|0)>>>0){c[D>>2]=b+1;b=d[b>>0]|0;k=1;continue}else{b=cK(a)|0;k=1;continue}}if((A|0)==6){b=c[D>>2]|0;if(b>>>0<(c[E>>2]|0)>>>0){c[D>>2]=b+1;b=d[b>>0]|0}else b=cK(a)|0;if((b|0)==48){k=0;b=0;while(1){k=HN(k|0,b|0,-1,-1)|0;o=z;b=c[D>>2]|0;if(b>>>0<(c[E>>2]|0)>>>0){c[D>>2]=b+1;b=d[b>>0]|0}else b=cK(a)|0;if((b|0)==48)b=o;else{v=1;p=1;q=k;break}}}else{v=1;p=k;q=0;o=0}}c[G>>2]=0;n=b+-48|0;m=(b|0)==46;b:do if(m|n>>>0<10){C=G+496|0;w=0;k=0;u=0;x=v;y=p;A=n;p=0;n=0;c:while(1){do if(m)if(!x){x=1;q=p;o=n}else break c;else{p=HN(p|0,n|0,1,0)|0;n=z;v=(b|0)!=48;if((k|0)>=125){if(!v)break;c[C>>2]=c[C>>2]|1;break}m=G+(k<<2)|0;if(!w)b=A;else b=b+-48+((c[m>>2]|0)*10|0)|0;c[m>>2]=b;w=w+1|0;y=(w|0)==9;w=y?0:w;k=k+(y&1)|0;u=v?p:u;y=1}while(0);b=c[D>>2]|0;if(b>>>0<(c[E>>2]|0)>>>0){c[D>>2]=b+1;b=d[b>>0]|0}else b=cK(a)|0;A=b+-48|0;m=(b|0)==46;if(!(m|A>>>0<10)){v=x;m=y;A=29;break b}}b=w;m=(y|0)!=0;A=37}else{w=0;k=0;u=0;m=p;p=0;n=0;A=29}while(0);do if((A|0)==29){C=(v|0)==0;q=C?p:q;o=C?n:o;m=(m|0)!=0;if(!(m&(b|32|0)==101))if((b|0)>-1){b=w;A=37;break}else{b=w;A=39;break}m=mM(a,h)|0;b=z;if((m|0)==0&(b|0)==-2147483648){if(!h){aK(a,0);i=0.0;break}if(!(c[E>>2]|0)){m=0;b=0}else{c[D>>2]=(c[D>>2]|0)+-1;m=0;b=0}}y=HN(m|0,b|0,q|0,o|0)|0;b=w;o=z;A=41}while(0);if((A|0)==37)if(c[E>>2]|0){c[D>>2]=(c[D>>2]|0)+-1;if(m){y=q;A=41}else A=40}else A=39;if((A|0)==39)if(m){y=q;A=41}else A=40;do if((A|0)==40){c[(jJ()|0)>>2]=22;aK(a,0);i=0.0}else if((A|0)==41){m=c[G>>2]|0;if(!m){i=+(g|0)*0.0;break}if(((n|0)<0|(n|0)==0&p>>>0<10)&((y|0)==(p|0)&(o|0)==(n|0))?(e|0)>30|(m>>>e|0)==0:0){i=+(g|0)*+(m>>>0);break}a=(f|0)/-2|0;E=((a|0)<0)<<31>>31;if((o|0)>(E|0)|(o|0)==(E|0)&y>>>0>a>>>0){c[(jJ()|0)>>2]=34;i=+(g|0)*1797693134862315708145274.0e284*1797693134862315708145274.0e284;break}a=f+-106|0;E=((a|0)<0)<<31>>31;if((o|0)<(E|0)|(o|0)==(E|0)&y>>>0<a>>>0){c[(jJ()|0)>>2]=34;i=+(g|0)*2.2250738585072014e-308*2.2250738585072014e-308;break}if(b){if((b|0)<9){n=G+(k<<2)|0;m=c[n>>2]|0;while(1){m=m*10|0;if((b|0)>=8)break;else b=b+1|0}c[n>>2]=m}k=k+1|0}if((u|0)<9?(u|0)<=(y|0)&(y|0)<18:0){if((y|0)==9){i=+(g|0)*+((c[G>>2]|0)>>>0);break}if((y|0)<9){i=+(g|0)*+((c[G>>2]|0)>>>0)/+(c[56536+(8-y<<2)>>2]|0);break}a=e+27+(O(y,-3)|0)|0;b=c[G>>2]|0;if((a|0)>30|(b>>>a|0)==0){i=+(g|0)*+(b>>>0)*+(c[56536+(y+-10<<2)>>2]|0);break}}b=(y|0)%9|0;if(!b){b=0;n=0}else{u=(y|0)>-1?b:b+9|0;p=c[56536+(8-u<<2)>>2]|0;if(k){q=1e9/(p|0)|0;n=0;o=0;m=y;b=0;do{D=G+(b<<2)|0;E=c[D>>2]|0;a=((E>>>0)/(p>>>0)|0)+n|0;c[D>>2]=a;n=O(q,(E>>>0)%(p>>>0)|0)|0;a=(b|0)==(o|0)&(a|0)==0;m=a?m+-9|0:m;o=a?o+1&127:o;b=b+1|0}while((b|0)!=(k|0));if(!n)n=o;else{c[G+(k<<2)>>2]=n;n=o;k=k+1|0}}else{n=0;k=0;m=y}b=0;y=9-u+m|0}d:while(1){u=(y|0)<18;v=(y|0)==18;w=G+(n<<2)|0;while(1){if(!u){if(!v){m=y;break d}if((c[w>>2]|0)>>>0>=9007199){m=18;break d}}m=0;x=k;k=k+127|0;while(1){o=k&127;p=G+(o<<2)|0;k=ON(c[p>>2]|0,0,29)|0;k=HN(k|0,z|0,m|0,0)|0;m=z;if(m>>>0>0|(m|0)==0&k>>>0>1e9){q=LN(k|0,m|0,1e9,0)|0;k=MN(k|0,m|0,1e9,0)|0}else q=0;c[p>>2]=k;a=(o|0)==(n|0);x=(k|0)==0&(((o|0)!=(x+127&127|0)|a)^1)?o:x;if(a)break;else{m=q;k=o+-1|0}}b=b+-29|0;if(q|0)break;else k=x}n=n+127&127;k=x+127&127;m=G+((x+126&127)<<2)|0;if((n|0)==(x|0))c[m>>2]=c[m>>2]|c[G+(k<<2)>>2];else k=x;c[G+(n<<2)>>2]=q;y=y+9|0}e:while(1){w=k+1&127;x=G+((k+127&127)<<2)|0;while(1){q=(m|0)==18;v=(m|0)>27?9:1;y=n;while(1){p=0;while(1){n=p+y&127;if((n|0)==(k|0)){F=2;A=88;break}n=c[G+(n<<2)>>2]|0;o=c[56568+(p<<2)>>2]|0;if(n>>>0<o>>>0){F=2;A=88;break}if(n>>>0>o>>>0)break;n=p+1|0;if((p|0)<1)p=n;else{F=n;A=88;break}}if((A|0)==88?(A=0,q&(F|0)==2):0){i=0.0;o=0;break e}b=v+b|0;if((y|0)==(k|0))y=k;else break}q=(1<<v)+-1|0;u=1e9>>>v;p=0;n=y;o=y;do{D=G+(o<<2)|0;E=c[D>>2]|0;a=(E>>>v)+p|0;c[D>>2]=a;p=O(E&q,u)|0;a=(o|0)==(n|0)&(a|0)==0;m=a?m+-9|0:m;n=a?n+1&127:n;o=o+1&127}while((o|0)!=(k|0));if(!p)continue;if((w|0)!=(n|0))break;c[x>>2]=c[x>>2]|1}c[G+(k<<2)>>2]=p;k=w}do{n=o+y&127;m=k+1&127;if((n|0)==(k|0)){c[G+(m+-1<<2)>>2]=0;k=m}i=i*1.0e9+ +((c[G+(n<<2)>>2]|0)>>>0);o=o+1|0}while((o|0)!=2);t=+(g|0);j=i*t;o=b+53|0;p=o-f|0;q=(p|0)<(e|0);n=q?((p|0)>0?p:0):e;if((n|0)<53){K=+LJ(+IJ(1.0,105-n|0),j);r=+NJ(j,+IJ(1.0,53-n|0));s=K;i=r;r=K+(j-r)}else{s=0.0;i=0.0;r=j}m=y+2&127;if((m|0)!=(k|0)){m=c[G+(m<<2)>>2]|0;do if(m>>>0>=5e8){if((m|0)!=5e8){i=t*.75+i;break}if((y+3&127|0)==(k|0)){i=t*.5+i;break}else{i=t*.75+i;break}}else{if((m|0)==0?(y+3&127|0)==(k|0):0)break;i=t*.25+i}while(0);if((53-n|0)>1?!(+NJ(i,1.0)!=0.0):0)j=i+1.0;else j=i}else j=i;i=r+j-s;do if((o&2147483647|0)>(-2-H|0)){H=!(+B(+i)>=9007199254740992.0);b=b+((H^1)&1)|0;i=H?i:i*.5;if((b+50|0)<=(I|0)?!(j!=0.0&(q&((n|0)!=(p|0)|H))):0)break;c[(jJ()|0)>>2]=34}while(0);i=+MJ(i,b)}while(0);l=J;return +i}function mM(a,b){a=a|0;b=b|0;var e=0,f=0,g=0,h=0,i=0;h=a+4|0;e=c[h>>2]|0;i=a+100|0;if(e>>>0<(c[i>>2]|0)>>>0){c[h>>2]=e+1;e=d[e>>0]|0}else e=cK(a)|0;switch(e|0){case 43:case 45:{f=(e|0)==45&1;e=c[h>>2]|0;if(e>>>0<(c[i>>2]|0)>>>0){c[h>>2]=e+1;e=d[e>>0]|0}else e=cK(a)|0;if((b|0)!=0&(e+-48|0)>>>0>9?(c[i>>2]|0)!=0:0)c[h>>2]=(c[h>>2]|0)+-1;break}default:f=0}if((e+-48|0)>>>0>9)if(!(c[i>>2]|0)){f=-2147483648;e=0}else{c[h>>2]=(c[h>>2]|0)+-1;f=-2147483648;e=0}else{g=0;do{g=e+-48+(g*10|0)|0;e=c[h>>2]|0;if(e>>>0<(c[i>>2]|0)>>>0){c[h>>2]=e+1;e=d[e>>0]|0}else e=cK(a)|0}while((e+-48|0)>>>0<10&(g|0)<214748364);b=((g|0)<0)<<31>>31;if((e+-48|0)>>>0<10)do{b=GN(g|0,b|0,10,0)|0;g=z;e=HN(e|0,((e|0)<0)<<31>>31|0,-48,-1)|0;g=HN(e|0,z|0,b|0,g|0)|0;b=z;e=c[h>>2]|0;if(e>>>0<(c[i>>2]|0)>>>0){c[h>>2]=e+1;e=d[e>>0]|0}else e=cK(a)|0}while((e+-48|0)>>>0<10&((b|0)<21474836|(b|0)==21474836&g>>>0<2061584302));if((e+-48|0)>>>0<10)do{e=c[h>>2]|0;if(e>>>0<(c[i>>2]|0)>>>0){c[h>>2]=e+1;e=d[e>>0]|0}else e=cK(a)|0}while((e+-48|0)>>>0<10);if(c[i>>2]|0)c[h>>2]=(c[h>>2]|0)+-1;i=(f|0)!=0;e=IN(0,0,g|0,b|0)|0;f=i?z:b;e=i?e:g}z=f;return e|0}function nM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;e=a+84|0;g=c[e>>2]|0;h=d+256|0;f=ZJ(g,0,h)|0;f=(f|0)==0?h:f-g|0;d=f>>>0<d>>>0?f:d;TN(b|0,g|0,d|0)|0;c[a+4>>2]=g+d;b=g+f|0;c[a+8>>2]=b;c[e>>2]=b;return d|0}function oM(a,b,c){a=a|0;b=b|0;c=c|0;return pM(a,b,c)|0}function pM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;if((c[a+76>>2]|0)>-1){e=(OK(a)|0)==0;b=qM(a,b,d)|0;if(!e)PK(a)}else b=qM(a,b,d)|0;return b|0}function qM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;if((d|0)==1)b=b-(c[a+8>>2]|0)+(c[a+4>>2]|0)|0;e=a+20|0;f=a+28|0;if((c[e>>2]|0)>>>0>(c[f>>2]|0)>>>0?(bb[c[a+36>>2]&31](a,0,0)|0,(c[e>>2]|0)==0):0)b=-1;else{c[a+16>>2]=0;c[f>>2]=0;c[e>>2]=0;if((bb[c[a+40>>2]&31](a,b,d)|0)<0)b=-1;else{c[a+8>>2]=0;c[a+4>>2]=0;c[a>>2]=c[a>>2]&-17;b=0}}return b|0}function rM(b){b=b|0;var c=0,d=0,e=0,f=0,g=0;while(1){e=b+1|0;if(!(XJ(a[b>>0]|0)|0))break;else b=e}d=a[b>>0]|0;switch(d<<24>>24|0){case 45:{b=1;f=5;break}case 43:{b=0;f=5;break}default:{g=0;c=b;b=d}}if((f|0)==5){g=b;c=e;b=a[e>>0]|0}if(!(_J(b<<24>>24)|0))b=0;else{b=0;do{b=(b*10|0)+48-(a[c>>0]|0)|0;c=c+1|0}while((_J(a[c>>0]|0)|0)!=0)}return (g|0?b:0-b|0)|0}function sM(a){a=a|0;return +(+tM(a,0))}function tM(a,b){a=a|0;b=b|0;return +(+uM(a,b,1))}function uM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0.0,f=0,g=0,h=0,i=0;i=l;l=l+128|0;h=i;f=h;g=f+124|0;do{c[f>>2]=0;f=f+4|0}while((f|0)<(g|0));f=h+4|0;c[f>>2]=a;g=h+8|0;c[g>>2]=-1;c[h+44>>2]=a;c[h+76>>2]=-1;aK(h,0);e=+jM(h,d,1);d=(c[f>>2]|0)-(c[g>>2]|0)+(c[h+108>>2]|0)|0;if(b|0)c[b>>2]=d|0?a+d|0:a;l=i;return +e}function vM(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;var f=0,g=0,h=0;a:do if(!c)b=0;else{h=b;while(1){g=c>>>1;b=h+(O(g,d)|0)|0;f=ab[e&63](a,b)|0;if(!f)break a;if((c|0)==1){b=0;break a}f=(f|0)<0;c=f?g:c-g|0;if(!c){b=0;break}else h=f?h:b}}while(0);return b|0}function wM(a,c){a=a|0;c=c|0;var d=0,f=0,g=0;g=a+2|0;f=a+4|0;d=GN((e[c+2>>1]|0)<<16|(e[c>>1]|0)|0,e[c+4>>1]|0|0,(e[g>>1]|0)<<16|(e[a>>1]|0)|0,e[f>>1]|0|0)|0;c=HN(d|0,z|0,e[c+6>>1]|0|0,0)|0;d=z;b[a>>1]=c;a=NN(c|0,d|0,16)|0;b[g>>1]=a;b[f>>1]=d;z=d&65535;return c|0}function xM(a){a=a|0;TN(173876,58668,6)|0;TN(58668,a|0,6)|0;return 173876}function yM(a){a=a|0;var c=0,d=0;c=l;l=l+16|0;d=c;b[d>>1]=13070;b[d+2>>1]=a;b[d+4>>1]=a>>>16;xM(d)|0;l=c;return}function zM(a){a=a|0;var b=0;b=wM(a,58674)|0;b=ON(b|0,z|0,4)|0;a=z|1072693248;c[j>>2]=b;c[j+4>>2]=a;return +(+h[j>>3]+-1.0)}function AM(){return +(+zM(58668))}function BM(a,b){a=a|0;b=b|0;if(!a)b=$I(1,24)|0;else VN(b|0,0,24)|0;return b|0}function CM(a){a=a|0;var b=0,d=0;b=c[a>>2]|0;if(b|0)do{_I(c[b>>2]|0);d=b;b=c[b+4>>2]|0;_I(d)}while((b|0)!=0);_I(a);return}function DM(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0;h=a+16|0;a:do if(!(c[h>>2]|0)){k=a+12|0;g=c[k>>2]|0;if(g>>>0<f>>>0){do if(b)if(!d){c[h>>2]=1;b=0;break a}else{h=a+8|0;c[h>>2]=d;g=1024;b=d;break}else{g=f<<3;g=g>>>0>1024?g:1024;j=ZI(8)|0;if(!j){c[h>>2]=1;b=0;break a}b=ZI(g)|0;c[j>>2]=b;d=b;if(!b){_I(j);c[h>>2]=1;b=0;break a}c[j+4>>2]=0;h=a+4|0;i=c[h>>2]|0;if(i|0)c[i+4>>2]=j;if(!(c[a>>2]|0))c[a>>2]=j;c[h>>2]=j;h=a+8|0;c[h>>2]=d}while(0);c[k>>2]=g}else{h=a+8|0;b=c[h>>2]|0;d=b}d=d+f&3;d=((d|0)==0?0:4-d|0)+f|0;c[h>>2]=b+d;c[k>>2]=g-d;if(e)VN(b|0,0,d|0)|0}else b=0;while(0);return b|0}function EM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0;v=l;l=l+48|0;h=v;t=FM()|0;a:do if(!t)b=12;else{u=BM(0,0)|0;if(!u){GM(t);b=12;break}VN(h|0,0,36)|0;c[h>>2]=u;c[h+4>>2]=t;c[h+16>>2]=b;c[h+32>>2]=d;e=h+28|0;c[e>>2]=-1;b=HM(h)|0;b:do if(!b){g=h+20|0;r=c[g>>2]|0;c[a>>2]=r+-1;i=c[h+8>>2]|0;if((c[e>>2]|0)<(r|0)){r=$I(1,68)|0;if(r){q=(c[e>>2]|0)>>>31^1;c[r+60>>2]=q;c[r+64>>2]=0;c[r+28>>2]=c[g>>2];if((d&8|0)==0|(q|0)!=0){b=IM(0,t,i,r)|0;if(b|0){g=r;h=0;i=0;f=0;e=0;break}e=r+40|0;b=c[e>>2]|0;if((b|0)>0){b=ZI((b<<2)+4|0)|0;if(!b){g=r;h=0;i=0;b=12;f=0;e=0;break}c[r+32>>2]=b;VN(b|0,-1,(c[e>>2]<<2)+4|0)|0;f=b;b=c[e>>2]|0}else f=0;q=$I(b<<1|1,4)|0;c[r+36>>2]=q;if(!q){g=r;h=0;i=0;b=12;f=0;e=0;break}b=$I(c[g>>2]|0,12)|0;if(!b){g=r;h=0;i=0;b=12;f=0;e=0;break}c[r+16>>2]=b;b=IM(u,t,i,r)|0;if(!b)b=f;else{g=r;h=0;i=0;f=0;e=0;break}}else b=0;p=h+24|0;b=JM(u,t,i,p,b)|0;if(!b){b=c[p>>2]|0;c[p>>2]=b+1;b=KM(u,0,0,b)|0;if((b|0)!=0?(s=LM(u,i,b)|0,(s|0)!=0):0){b=MM(u,t,s)|0;if(!b){o=ZI(c[p>>2]<<2)|0;if(o){q=ZI(c[p>>2]<<2)|0;if(q){b=c[p>>2]|0;if((b|0)>0)VN(o|0,0,b<<2|0)|0;NM(s,0,o,0)|0;f=c[p>>2]|0;if((f|0)>0){b=0;e=0;do{c[q+(e<<2)>>2]=b;n=o+(e<<2)|0;b=b+1+(c[n>>2]|0)|0;c[n>>2]=0;e=e+1|0}while((e|0)<(f|0));k=b}else k=0;m=$I(k+1|0,32)|0;if(m){c[r>>2]=m;n=r+4|0;c[n>>2]=k;b=NM(s,m,o,q)|0;if(!b){c[r+20>>2]=0;f=s+24|0;b=c[f>>2]|0;e=0;while(1){e=e+1|0;if((c[b>>2]|0)<=-1)break;else b=b+32|0}j=$I(e,32)|0;if(!j){g=r;h=o;i=q;b=12;f=o;e=q}else{c[r+8>>2]=j;f=c[f>>2]|0;e=c[f>>2]|0;if((e|0)>-1){b=0;do{c[j+(b<<5)+8>>2]=m+(c[q+(e<<2)>>2]<<5);c[j+(b<<5)+12>>2]=e;h=j+(b<<5)+16|0;c[h>>2]=0;i=f+12|0;g=c[i>>2]|0;if(g|0){e=0;do{w=e;e=e+1|0}while((c[g+(w<<2)>>2]|0)>-1);e=e<<2;g=ZI(e)|0;c[h>>2]=g;if(!g){g=r;h=o;i=q;b=12;f=o;e=q;break b}TN(g|0,c[i>>2]|0,e|0)|0}c[j+(b<<5)+20>>2]=c[f+16>>2];b=b+1|0;f=f+32|0;e=c[f>>2]|0}while((e|0)>-1)}else b=0;c[j+(b<<5)+8>>2]=0;c[n>>2]=k;c[r+12>>2]=m+(c[q+(c[c[s+28>>2]>>2]<<2)>>2]<<5);c[r+52>>2]=c[p>>2];c[r+56>>2]=d;CM(u);GM(t);_I(o);_I(q);c[a+4>>2]=r;b=0;break a}}else{g=r;h=o;i=q;f=o;e=q}}else{g=r;h=o;i=q;b=12;f=o;e=q}}else{g=r;h=o;i=q;b=12;f=o;e=0}}else{g=r;h=o;i=0;b=12;f=0;e=0}}else{g=r;h=0;i=0;f=0;e=0}}else{g=r;h=0;i=0;b=12;f=0;e=0}}else{g=r;h=0;i=0;f=0;e=0}}else{g=r;h=0;i=0;b=12;f=0;e=0}}else{g=0;h=0;i=0;b=6;f=0;e=0}}else{g=0;h=0;i=0;f=0;e=0}while(0);CM(u);GM(t);if(h|0)_I(f);if(i|0)_I(e);c[a+4>>2]=g;OM(a)}while(0);l=v;return b|0}function FM(){var a=0,b=0;a=ZI(20)|0;do if(a){b=ZI(2048)|0;c[a+16>>2]=b;if(!b){_I(a);a=0;break}else{c[a>>2]=512;c[a+4>>2]=1024e3;c[a+8>>2]=128;c[a+12>>2]=0;break}}while(0);return a|0}function GM(a){a=a|0;_I(c[a+16>>2]|0);_I(a);return}function HM(b){b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0;u=l;l=l+16|0;p=u+4|0;q=u;r=c[b+32>>2]&1;s=b+16|0;e=c[s>>2]|0;t=c[b+4>>2]|0;d=SM(t,0)|0;a:do if(!d){m=(r|0)!=0;n=b+8|0;o=b+12|0;d=0;k=1;b:while(1){g=0;h=d;f=0;c:while(1){d=a[e>>0]|0;if(m){if(d<<24>>24==40)break;if((h|0)!=0&d<<24>>24==41)j=13;else j=14}else if(d<<24>>24==92)switch(a[e+1>>0]|0){case 40:break c;case 41:{j=13;break}default:j=14}else j=14;if((j|0)==13){j=0;i=KM(c[b>>2]|0,-1,-1,-1)|0;c[n>>2]=i;if(!i){d=12;break a}else i=f}else if((j|0)==14){j=0;d=fN(b,e)|0;if(d|0)break a;i=f;e=c[o>>2]|0}d:while(1){e:while(1){d=a[e>>0]|0;switch(d<<24>>24){case 42:case 92:break;default:{if(!m)break e;switch(d<<24>>24){case 123:case 63:case 43:break;default:break e}}}d=d<<24>>24==92;if(m&d)break;f=e+1|0;if(d)switch(a[f>>0]|0){case 123:case 63:case 43:break;default:break e}e=d?f:e;if((!m?(e|0)==((c[s>>2]|0)+1|0):0)?(a[e+-1>>0]|0)==94:0)break;if((a[e>>0]|0)==123){e=gN(e+1|0,r,p,q)|0;if(!e){j=28;break b}d=c[q>>2]|0;f=c[b>>2]|0;if(!d)d=KM(f,-1,-1,-1)|0;else j=36}else{c[p>>2]=0;c[q>>2]=-1;d=a[e>>0]|0;if(d<<24>>24==43){c[p>>2]=1;d=a[e>>0]|0}if(d<<24>>24==63){c[q>>2]=1;d=1}else d=-1;e=e+1|0;f=c[b>>2]|0;j=36}if((j|0)==36){j=0;d=aN(f,c[n>>2]|0,c[p>>2]|0,d,0)|0}c[n>>2]=d;if(!d){d=12;break a}}d=LM(c[b>>2]|0,g,c[n>>2]|0)|0;f=a[e>>0]|0;f:do if(m){if(f<<24>>24==124){j=40;break d}if((h|0)!=0&f<<24>>24==41|f<<24>>24==0)j=47;else{g=d;f=i;continue c}}else{switch(f<<24>>24){case 0:{j=47;break f}case 92:break;default:{g=d;f=i;continue c}}switch(a[e+1>>0]|0){case 124:case 41:break;default:{g=d;f=i;continue c}}d=bN(c[b>>2]|0,i,d)|0;if((a[e+1>>0]|0)==124){f=2;break d}if(!h){d=8;break a}e=e+2|0;f=92}while(0);if((j|0)==47){j=0;d=bN(c[b>>2]|0,i,d)|0;e=f<<24>>24==41?e+1|0:e}d=hN(b,d,TM(t)|0)|0;if(d|0)break a;d=f<<24>>24==0;f=(h|0)<1;if(f&d){j=50;break b}if(f|d){d=8;break a}g=UM(t)|0;h=h+-1|0;i=UM(t)|0}if((j|0)==40){f=1;d=bN(c[b>>2]|0,i,d)|0}g=0;e=e+f|0;f=d}d=RM(t,f)|0;if(d|0)break a;d=RM(t,g)|0;if(d|0)break a;d=SM(t,k)|0;if(d|0)break a;d=h+1|0;k=k+1|0;e=m?e+1|0:e+2|0}if((j|0)==28){d=10;break}else if((j|0)==50){c[b+20>>2]=k;d=0;break}}while(0);l=u;return d|0}function IM(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0;x=QM(d)|0;y=(b|0)==0|(f|0)==0;if(!y){c[f+48>>2]=0;c[c[f+36>>2]>>2]=-1}g=f+28|0;z=ZI((c[g>>2]<<3)+8|0)|0;do if(!z)g=12;else{c[z>>2]=-1;A=ZI((c[g>>2]<<2)+4|0)|0;if(!A){_I(z);g=12;break}c[A>>2]=-1;B=ZI((c[g>>2]<<3)+8|0)|0;if(!B){_I(z);_I(A);g=12;break}h=c[g>>2]|0;g=0;do{c[B+(g<<3)>>2]=-1;g=g+1|0}while(g>>>0<=h>>>0);RM(d,e)|0;g=SM(d,0)|0;a:do if((g|0)!=0|(QM(d)|0)<=(x|0)){e=z;n=0;h=0;m=0;l=-1}else{u=f+32|0;v=f+36|0;w=f+16|0;e=z;n=0;h=0;m=0;t=1;l=-1;s=0;while(1){b:do switch(TM(d)|0){case 6:{i=TM(d)|0;g=0;do{j=e+(g<<2)|0;g=g+1|0}while((c[j>>2]|0)>-1);c[j>>2]=i<<1|1;c[e+(g<<2)>>2]=-1;g=0;while(1)if((c[A+(g<<2)>>2]|0)>-1)g=g+1|0;else break;c[A+(g+-1<<2)>>2]=-1;g=0;j=t;i=s;break}case 0:{q=UM(d)|0;r=q+12|0;j=c[r>>2]|0;if((j|0)>-1){g=0;do{i=e+(g<<2)|0;g=g+1|0}while((c[i>>2]|0)>-1);c[i>>2]=j<<1;c[e+(g<<2)>>2]=-1;if(!y){g=0;while(1)if((c[A+(g<<2)>>2]|0)>-1)g=g+1|0;else break;c[(c[w>>2]|0)+(j*12|0)+8>>2]=0;if((g|0)>0){g=ZI((g<<2)+4|0)|0;if(!g){g=12;j=t;i=s;break b}c[(c[w>>2]|0)+(j*12|0)+8>>2]=g;i=c[A>>2]|0;if((i|0)>-1){k=0;j=g;do{c[j>>2]=i;k=k+1|0;i=c[A+(k<<2)>>2]|0;j=g+(k<<2)|0}while((i|0)>-1);g=j}c[g>>2]=-1}}g=SM(d,c[r>>2]|0)|0;if(g|0){j=t;i=s;break b}g=SM(d,6)|0;if(g|0){j=t;i=s;break b}}c:do switch(c[q>>2]|0){case 0:{p=c[c[q+4>>2]>>2]|0;if((p|0)>-1|(p|0)==-4?(c[e>>2]|0)>-1:0){if(y){c[q+20>>2]=1;g=0}else{g=cN(b,q,m)|0;c[(c[u>>2]|0)+(m<<2)>>2]=s;if((l|0)>-1){j=c[v>>2]|0;i=0;while(1){k=j+(i<<2)|0;o=i+1|0;if((c[k>>2]|0)>-1)i=o;else break}c[k>>2]=m;c[j+(o<<2)>>2]=l;c[j+(i+2<<2)>>2]=-1;h=h+1|0;l=-1}dN(e,f,m)}c[e>>2]=-1;p=t+1|0;o=s;n=n+1|0;m=t}else{p=t;g=0;o=s}break}case 1:{j=c[q+4>>2]|0;k=c[j>>2]|0;j=c[j+4>>2]|0;g=RM(d,q)|0;if(!g){g=SM(d,5)|0;if(!g){g=RM(d,j)|0;if(!g){g=SM(d,0)|0;if(!g){i=k+20|0;g=SM(d,(c[i>>2]|0)+t|0)|0;if(!g){if((c[i>>2]|0)>0){i=(c[j+20>>2]|0)>0;g=i?t:-1;i=t+(i&1)|0}else{g=-1;i=t}g=SM(d,g)|0;if(!g){g=SM(d,4)|0;if(!g){g=RM(d,k)|0;if(!g){p=i;g=SM(d,0)|0;o=s}else{p=i;o=s}}else{p=i;o=s}}else{p=i;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}break}case 2:{i=c[q+4>>2]|0;if(y){if((c[e>>2]|0)>-1)g=1;else g=(a[i+12>>0]&1)!=0;g=SM(d,g&1)|0;if(g|0){p=t;o=s;break c}}else{g=SM(d,m)|0;if(g|0){p=t;o=s;break c}g=SM(d,a[i+12>>0]&1)|0;if(g|0){p=t;o=s;break c}}g=RM(d,q)|0;if(!g){g=SM(d,1)|0;if(!g){g=RM(d,c[i>>2]|0)|0;if(!g){g=SM(d,0)|0;if(!g){if((c[e>>2]|0)<=-1?(a[i+12>>0]&1)==0:0){p=t;g=0;o=0;break c}if(y)g=0;else{g=cN(b,q,m)|0;c[(c[u>>2]|0)+(m<<2)>>2]=(a[i+12>>0]&1)==0?s:1;if((l|0)>-1){j=c[v>>2]|0;i=0;while(1){k=j+(i<<2)|0;o=i+1|0;if((c[k>>2]|0)>-1)i=o;else break}c[k>>2]=m;c[j+(o<<2)>>2]=l;c[j+(i+2<<2)>>2]=-1;h=h+1|0;l=-1}dN(e,f,m)}c[e>>2]=-1;p=t+1|0;o=0;n=n+1|0;m=t}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}break}case 3:{j=c[q+4>>2]|0;k=c[j>>2]|0;j=c[j+4>>2]|0;i=(c[e>>2]|0)>-1;p=t+1|0;g=SM(d,i?p:t)|0;if(!g){g=SM(d,i?t:m)|0;if(!g){g=RM(d,e)|0;if(!g){g=SM(d,(c[e>>2]|0)>>>31^1)|0;if(!g){g=RM(d,q)|0;if(!g){g=RM(d,j)|0;if(!g){g=RM(d,k)|0;if(!g){g=SM(d,3)|0;if(!g){g=RM(d,j)|0;if(!g){g=SM(d,0)|0;if(g|0){p=t;o=s;break c}g=SM(d,2)|0;if(g|0){p=t;o=s;break c}g=RM(d,k)|0;if(g|0){p=t;o=s;break c}g=SM(d,0)|0;if(g|0){p=t;o=s;break c}if((c[e>>2]|0)>-1){if(y)g=0;else{g=cN(b,q,m)|0;c[(c[u>>2]|0)+(m<<2)>>2]=s;if((l|0)>-1){j=c[v>>2]|0;i=0;while(1){k=j+(i<<2)|0;o=i+1|0;if((c[k>>2]|0)>-1)i=o;else break}c[k>>2]=m;c[j+(o<<2)>>2]=l;c[j+(i+2<<2)>>2]=-1;h=h+1|0;l=-1}dN(e,f,m)}c[e>>2]=-1;n=n+1|0;m=t;i=p}else{g=0;i=t}t=(c[q+16>>2]|0)>0;p=t?i+2|0:i;o=s;m=t?i+1|0:m}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}}else{p=t;o=s}break}default:{p=t;g=0;o=s}}while(0);j=c[r>>2]|0;if((j|0)>-1){i=0;do{k=A+(i<<2)|0;i=i+1|0}while((c[k>>2]|0)>-1);c[k>>2]=j;c[A+(i<<2)>>2]=-1;j=p;i=o}else{j=p;i=o}break}case 1:{g=UM(d)|0;if(y){i=c[(c[c[g+4>>2]>>2]|0)+20>>2]|0;c[g+20>>2]=(TM(d)|0)+i;i=0;l=-1}else{q=TM(d)|0;r=TM(d)|0;i=q;l=(q|0)==0?l:r}g=0;j=t;i=y?s:(i|0)==0&1;break}case 4:{i=TM(d)|0;j=TM(d)|0;g=0;m=(i|0)>-1?i:m;i=s;break}case 5:{g=UM(d)|0;if(y){j=c[g+4>>2]|0;c[g+20>>2]=(c[(c[j+4>>2]|0)+20>>2]|0)+(c[(c[j>>2]|0)+20>>2]|0);g=0;j=t;i=s}else{g=0;j=t;i=s}break}case 2:{while(1)if((c[e>>2]|0)>-1)e=e+4|0;else{g=0;j=t;i=s;break}break}case 3:{j=UM(d)|0;o=UM(d)|0;g=UM(d)|0;e=TM(d)|0;if(y){r=c[g+4>>2]|0;s=g+16|0;c[g+20>>2]=(c[(c[r>>2]|0)+20>>2]|0)+e+(c[(c[r+4>>2]|0)+20>>2]|0)+((c[s>>2]|0)>0?2:0);g=s}else g=g+16|0;e=UM(d)|0;i=TM(d)|0;k=TM(d)|0;if((c[g>>2]|0)>0){if(y)g=0;else{g=eN(b,j,i)|0;c[(c[u>>2]|0)+(i<<2)>>2]=1;if(!g)g=eN(b,o,k)|0;c[(c[u>>2]|0)+(k<<2)>>2]=1}n=n+2|0;j=t;i=1}else{g=0;j=t;i=1}break}default:{g=0;j=t;i=s}}while(0);if((g|0)!=0|(QM(d)|0)<=(x|0))break a;else{t=j;s=i}}}while(0);if(!y?(dN(e,f,m),(l|0)>-1):0){i=c[f+36>>2]|0;e=0;while(1){j=i+(e<<2)|0;k=e+1|0;if((c[j>>2]|0)>-1)e=k;else break}c[j>>2]=m;c[i+(k<<2)>>2]=l;c[i+(e+2<<2)>>2]=-1;h=h+1|0}c[f+48>>2]=n;c[f+40>>2]=n;c[f+44>>2]=h;_I(z);_I(A);_I(B)}while(0);return g|0}function JM(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0;y=l;l=l+16|0;t=y+12|0;x=y+8|0;u=y+4|0;v=y;w=QM(b)|0;c[t>>2]=0;c[x>>2]=0;d=RM(b,d)|0;a:do if(!d){d=SM(b,0)|0;if(!d){b:do if((QM(b)|0)>(w|0)){g=0;i=0;j=0;c:while(1){q=TM(b)|0;r=UM(b)|0;d:do switch(q|0){case 0:{switch(c[r>>2]|0){case 0:{d=c[r+4>>2]|0;r=c[d>>2]|0;if(!((r|0)>-1|(r|0)==-4)){d=j;break d}r=d+8|0;d=(c[r>>2]|0)+j|0;c[r>>2]=d;if((d|0)<=(c[x>>2]|0)){d=j;break d}c[x>>2]=d;d=j;break d}case 3:{h=c[r+4>>2]|0;d=RM(b,c[h+4>>2]|0)|0;if(d|0)break b;d=SM(b,0)|0;if(d|0)break b;d=RM(b,c[h>>2]|0)|0;if(d|0)break b;break}case 1:{h=c[r+4>>2]|0;d=RM(b,c[h+4>>2]|0)|0;if(d|0)break b;d=SM(b,0)|0;if(d|0)break b;d=RM(b,c[h>>2]|0)|0;if(d|0)break b;break}case 2:{h=c[r+4>>2]|0;d=SM(b,j)|0;if(d|0)break b;d=RM(b,r)|0;if(d|0)break b;d=SM(b,1)|0;if(d|0)break b;d=RM(b,c[h>>2]|0)|0;if(d|0)break b;d=SM(b,0)|0;if(d|0)break b;if((c[h+4>>2]|0)<=1?(c[h+8>>2]|0)<=1:0)d=j;else{c[t>>2]=0;d=0}i=i+1|0;break d}default:{d=j;break d}}d=SM(b,0)|0;if(!d)d=j;else break b;break}case 1:{p=r+4|0;o=c[p>>2]|0;q=TM(b)|0;c[t>>2]=q;n=o+4|0;j=c[n>>2]|0;if((j|0)<=1)if((c[o+8>>2]|0)>1){c[u>>2]=0;if((j|0)>0)s=30;else{d=q;h=0;s=37}}else d=q;else{c[u>>2]=0;s=30}e:do if((s|0)==30){d=$M(a,b,c[o>>2]|0,(j|0)>1?1:2,t,f,v,x)|0;if(!d){h=0;k=q;m=1}else{s=34;break c}while(1){d=c[v>>2]|0;if(!h)h=d;else h=LM(a,h,d)|0;if(!h){d=12;s=34;break c}j=c[n>>2]|0;if((m|0)>=(j|0)){d=k;s=37;break e}k=c[t>>2]|0;m=m+1|0;d=$M(a,b,c[o>>2]|0,(m|0)<(j|0)?1:2,t,f,v,x)|0;if(d|0){s=34;break c}}}while(0);if((s|0)==37){s=0;n=o+8|0;k=c[n>>2]|0;if((k|0)==-1){k=c[t>>2]|0;d=$M(a,b,c[o>>2]|0,0,t,0,u,x)|0;if(d|0)break c;j=aN(a,c[u>>2]|0,0,-1,0)|0;c[u>>2]=j;if(!j){d=12;break c}else d=k}else if((j|0)<(k|0)){k=j;j=0;while(1){m=c[t>>2]|0;d=$M(a,b,c[o>>2]|0,0,t,0,v,x)|0;if(d|0){s=49;break c}if(!j){d=c[v>>2]|0;c[u>>2]=d}else{d=LM(a,c[v>>2]|0,j)|0;c[u>>2]=d}if(!d){d=12;s=49;break c}j=KM(a,-1,-1,-1)|0;if(!j){d=12;s=49;break c}j=bN(a,j,d)|0;c[u>>2]=j;if(!j){d=12;s=49;break c}k=k+1|0;if((k|0)>=(c[n>>2]|0)){d=m;break}}}else j=0;c[t>>2]=d;if(h){if(j){h=LM(a,h,j)|0;s=54}}else{h=j;s=54}if((s|0)==54){s=0;if(!h){d=12;break c}}c[p>>2]=c[h+4>>2];c[r>>2]=c[h>>2]}i=i+-1|0;h=d-q+g|0;if(!i){c[t>>2]=h;g=h;i=0;d=h}else g=h;break}default:d=j}while(0);if((QM(b)|0)>(w|0))j=d;else{d=0;break b}}break a}else{d=0;g=0}while(0);w=(c[e>>2]|0)+g|0;x=c[x>>2]|0;c[e>>2]=(x|0)>(w|0)?x:w}}while(0);l=y;return d|0}function KM(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;f=DM(a,0,0,1,20)|0;a=_M(a,0,f)|0;if(!a)a=0;else{c[f>>2]=b;c[f+4>>2]=d;c[f+8>>2]=e}return a|0}function LM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;if(b){e=DM(a,0,0,1,8)|0;a=_M(a,1,e)|0;if(!a)d=0;else{c[e>>2]=b;c[e+4>>2]=d;c[a+16>>2]=(c[d+16>>2]|0)+(c[b+16>>2]|0);d=a}}return d|0}function MM(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0;o=l;l=l+16|0;j=o+4|0;k=o;m=QM(b)|0;d=RM(b,d)|0;a:do if(!d){d=SM(b,0)|0;if(!d)if((QM(b)|0)>(m|0)){b:while(1){h=TM(b)|0;i=UM(b)|0;c:do switch(h|0){case 0:switch(c[i>>2]|0){case 0:{g=c[i+4>>2]|0;f=c[g>>2]|0;if((f|0)==-4){c[i+8>>2]=0;d=g+8|0;h=VM(a,c[d>>2]|0,0,1114111,0,0,-1)|0;c[i+24>>2]=h;if(!h){d=12;break a}h=VM(a,c[d>>2]|0,0,1114111,0,0,c[g+4>>2]|0)|0;c[i+28>>2]=h;if(!h){d=12;break a}else break c}d=i+8|0;if((f|0)<0){c[d>>2]=1;h=WM(a)|0;c[i+24>>2]=h;if(!h){d=12;break a}h=WM(a)|0;c[i+28>>2]=h;if(!h){d=12;break a}else break c}else{c[d>>2]=0;d=g+8|0;e=g+4|0;h=VM(a,c[d>>2]|0,f,c[e>>2]|0,0,0,-1)|0;c[i+24>>2]=h;if(!h){d=12;break a}h=VM(a,c[d>>2]|0,c[g>>2]|0,c[e>>2]|0,c[g+12>>2]|0,c[g+16>>2]|0,-1)|0;c[i+28>>2]=h;if(!h){d=12;break a}else break c}}case 3:{d=RM(b,i)|0;if(d|0)break a;d=SM(b,1)|0;if(d|0)break a;e=i+4|0;d=RM(b,c[(c[e>>2]|0)+4>>2]|0)|0;if(d|0)break a;d=SM(b,0)|0;if(d|0)break a;d=RM(b,c[c[e>>2]>>2]|0)|0;if(d|0)break a;d=SM(b,0)|0;if(!d)break c;else break a}case 1:{d=RM(b,i)|0;if(d|0)break a;d=SM(b,2)|0;if(d|0)break a;e=i+4|0;d=RM(b,c[(c[e>>2]|0)+4>>2]|0)|0;if(d|0)break a;d=SM(b,0)|0;if(d|0)break a;d=RM(b,c[c[e>>2]>>2]|0)|0;if(d|0)break a;d=SM(b,0)|0;if(!d)break c;else break a}case 2:{d=RM(b,i)|0;if(d|0)break a;d=SM(b,3)|0;if(d|0)break a;d=RM(b,c[c[i+4>>2]>>2]|0)|0;if(d|0)break a;d=SM(b,0)|0;if(!d)break c;else break a}default:break c}case 1:{d=c[i+4>>2]|0;e=c[d>>2]|0;f=d+4|0;g=c[f>>2]|0;if(!(c[e+8>>2]|0))h=(c[g+8>>2]|0)!=0;else h=1;c[i+8>>2]=h&1;h=XM(a,c[e+24>>2]|0,c[g+24>>2]|0,0,0)|0;c[i+24>>2]=h;if(!h){d=12;break a}h=XM(a,c[(c[d>>2]|0)+28>>2]|0,c[(c[f>>2]|0)+28>>2]|0,0,0)|0;c[i+28>>2]=h;if(!h){d=12;break a}break}case 3:{h=c[i+4>>2]|0;d=c[h>>2]|0;if(!(c[h+4>>2]|0))e=1;else e=(c[d+8>>2]|0)!=0&1;c[i+8>>2]=e;c[i+24>>2]=c[d+24>>2];c[i+28>>2]=c[d+28>>2];break}case 2:{g=c[i+4>>2]|0;d=c[g>>2]|0;e=d+8|0;if(!(c[e>>2]|0))f=0;else f=(c[(c[g+4>>2]|0)+8>>2]|0)!=0;c[i+8>>2]=f&1;if(c[e>>2]|0){d=YM(b,d,0,0,j)|0;if(d|0)break b;e=ZI((c[j>>2]<<2)+4|0)|0;if(!e){d=12;break b}c[e>>2]=-1;c[k>>2]=0;d=YM(b,c[g>>2]|0,e,k,0)|0;if(d|0){n=45;break b}d=g+4|0;h=i+24|0;c[h>>2]=XM(a,c[(c[d>>2]|0)+24>>2]|0,c[(c[g>>2]|0)+24>>2]|0,e,c[k>>2]|0)|0;_I(e);if(!(c[h>>2]|0)){d=12;break b}else f=d}else{c[i+24>>2]=c[d+24>>2];f=g+4|0}d=c[f>>2]|0;if(c[d+8>>2]|0){d=YM(b,d,0,0,j)|0;if(d|0)break b;e=ZI((c[j>>2]<<2)+4|0)|0;if(!e){d=12;break b}c[e>>2]=-1;c[k>>2]=0;d=YM(b,c[f>>2]|0,e,k,0)|0;if(d|0){n=52;break b}i=i+28|0;c[i>>2]=XM(a,c[(c[g>>2]|0)+28>>2]|0,c[(c[f>>2]|0)+28>>2]|0,e,c[k>>2]|0)|0;_I(e);if(!(c[i>>2]|0)){d=12;break b}}else c[i+28>>2]=c[d+28>>2];break}default:{}}while(0);if((QM(b)|0)<=(m|0)){d=0;break a}}if((n|0)==45)_I(e);else if((n|0)==52)_I(e)}else d=0}while(0);l=o;return d|0}function NM(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;a:while(1){switch(c[a>>2]|0){case 2:{a=c[a+4>>2]|0;if((c[a+8>>2]|0)==-1?(h=c[a>>2]|0,h=PM(c[h+28>>2]|0,c[h+24>>2]|0,b,d,e)|0,(h|0)!=0):0){a=h;break a}break}case 3:{f=c[a+4>>2]|0;a=NM(c[f>>2]|0,b,d,e)|0;if(a|0)break a;a=f+4|0;break}case 1:{f=c[a+4>>2]|0;g=f+4|0;a=PM(c[(c[f>>2]|0)+28>>2]|0,c[(c[g>>2]|0)+24>>2]|0,b,d,e)|0;if(a|0)break a;a=NM(c[f>>2]|0,b,d,e)|0;if(!a)a=g;else break a;break}default:{a=0;break a}}a=c[a>>2]|0}return a|0}function OM(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0;h=c[a+4>>2]|0;if(h|0){e=h+4|0;a=c[h>>2]|0;if(c[e>>2]|0){d=0;do{if(c[a+(d<<5)+8>>2]|0){b=c[a+(d<<5)+16>>2]|0;if(b){_I(b);a=c[h>>2]|0}b=c[a+(d<<5)+28>>2]|0;if(b){_I(b);a=c[h>>2]|0}}d=d+1|0}while(d>>>0<(c[e>>2]|0)>>>0)}if(a|0)_I(a);d=h+8|0;a=c[d>>2]|0;if(a|0){if(c[a+8>>2]|0){while(1){b=c[a+16>>2]|0;if(b|0)_I(b);if(!(c[a+40>>2]|0))break;else a=a+32|0}a=c[d>>2]|0}_I(a)}f=h+16|0;a=c[f>>2]|0;if(a|0){g=h+28|0;b=c[g>>2]|0;if(b){e=0;do{d=c[a+(e*12|0)+8>>2]|0;if(d){_I(d);b=c[g>>2]|0;a=c[f>>2]|0}e=e+1|0}while(e>>>0<b>>>0)}_I(a)}a=c[h+32>>2]|0;if(a|0)_I(a);a=c[h+20>>2]|0;if(a|0)_I(a);a=c[h+36>>2]|0;if(a|0)_I(a);_I(h)}return}function PM(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0;g=c[a>>2]|0;h=(g|0)>-1;a:do if(!d)if(h){h=b+32|0;do{if((c[b>>2]|0)>-1?(y=e+(g<<2)|0,c[y>>2]=(c[y>>2]|0)+1,(c[h>>2]|0)>-1):0){g=h;do{y=e+(c[a>>2]<<2)|0;c[y>>2]=(c[y>>2]|0)+1;g=g+32|0}while((c[g>>2]|0)>-1)}a=a+32|0;g=c[a>>2]|0}while((g|0)>-1);g=0}else g=0;else if(h)while(1){h=c[b>>2]|0;b:do if((h|0)>-1){p=a+4|0;q=a+8|0;r=a+16|0;s=a+20|0;t=a+24|0;u=a+28|0;v=a+12|0;e=-1;g=b;while(1){o=h;while(1){if((o|0)!=(e|0))break;g=g+32|0;h=c[g>>2]|0;if((h|0)>-1)o=h;else break b}l=d+(c[f+(c[a>>2]<<2)>>2]<<5)|0;while(1){h=l+8|0;if(!(c[h>>2]|0))break;else l=l+32|0}c[l+40>>2]=0;c[l>>2]=c[p>>2];c[l+4>>2]=c[q>>2];c[h>>2]=d+(c[f+(o<<2)>>2]<<5);c[l+12>>2]=o;h=c[s>>2]|0;e=c[g+16>>2]|c[r>>2]|(h|0?4:0)|(c[t>>2]|0?8:0);i=l+20|0;c[i>>2]=e;j=c[u>>2]|0;if((j|0)>-1){c[i>>2]=e|256;h=j}c[l+24>>2]=h;e=c[t>>2]|0;if(!e)c[l+28>>2]=0;else{h=0;do{n=h;h=h+1|0}while((c[e+(n<<2)>>2]|0)!=0);h=ZI(h<<2)|0;c[l+28>>2]=h;if(!h){g=12;break a}k=c[t>>2]|0;e=c[k>>2]|0;if(e){j=0;i=h;do{c[i>>2]=e;j=j+1|0;e=c[k+(j<<2)>>2]|0;i=h+(j<<2)|0}while((e|0)!=0);h=i}c[h>>2]=0}e=c[v>>2]|0;if(!e)h=0;else{h=0;while(1)if((c[e+(h<<2)>>2]|0)>-1)h=h+1|0;else break}k=g+12|0;i=c[k>>2]|0;if(!i)e=0;else{e=0;while(1)if((c[i+(e<<2)>>2]|0)>-1)e=e+1|0;else break}j=l+16|0;i=c[j>>2]|0;if(i|0)_I(i);c[j>>2]=0;h=e+h|0;if((h|0)>0){n=ZI((h<<2)+4|0)|0;c[j>>2]=n;if(!n){g=12;break a}e=c[v>>2]|0;if((e|0)!=0?(w=c[e>>2]|0,(w|0)>-1):0){h=0;i=w;do{c[n+(h<<2)>>2]=i;h=h+1|0;i=c[e+(h<<2)>>2]|0}while((i|0)>-1);m=h}else m=0;j=c[k>>2]|0;if((j|0)!=0?(x=c[j>>2]|0,(x|0)>-1):0){k=(m|0)>0;h=m;i=0;l=x;do{c:do if(k){e=0;while(1){if((c[n+(e<<2)>>2]|0)==(l|0))break c;e=e+1|0;if((e|0)>=(m|0)){y=39;break}}}else y=39;while(0);if((y|0)==39){y=0;c[n+(h<<2)>>2]=l;h=h+1|0}i=i+1|0;l=c[j+(i<<2)>>2]|0}while((l|0)>-1)}else h=m;c[n+(h<<2)>>2]=-1}g=g+32|0;h=c[g>>2]|0;if((h|0)<=-1)break;else e=o}}while(0);a=a+32|0;if((c[a>>2]|0)<=-1){g=0;break}}else g=0;while(0);return g|0}function QM(a){a=a|0;return c[a+12>>2]|0}function RM(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=l;l=l+16|0;e=d+4|0;f=d;c[f>>2]=b;c[e>>2]=c[f>>2];b=ZM(a,e)|0;l=d;return b|0}function SM(a,b){a=a|0;b=b|0;var d=0,e=0,f=0;d=l;l=l+16|0;e=d+4|0;f=d;c[f>>2]=b;c[e>>2]=c[f>>2];b=ZM(a,e)|0;l=d;return b|0}function TM(a){a=a|0;var b=0,d=0;b=c[a+16>>2]|0;d=a+12|0;a=(c[d>>2]|0)+-1|0;c[d>>2]=a;return c[b+(a<<2)>>2]|0}function UM(a){a=a|0;var b=0,d=0;b=c[a+16>>2]|0;d=a+12|0;a=(c[d>>2]|0)+-1|0;c[d>>2]=a;return c[b+(a<<2)>>2]|0}function VM(a,b,d,e,f,g,h){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;a=DM(a,0,0,1,64)|0;if(!a)a=0;else{c[a>>2]=b;c[a+4>>2]=d;c[a+8>>2]=e;c[a+20>>2]=f;c[a+24>>2]=g;c[a+28>>2]=h;c[a+32>>2]=-1;c[a+36>>2]=-1;c[a+40>>2]=-1}return a|0}function WM(a){a=a|0;a=DM(a,0,0,1,32)|0;if(!a)a=0;else{c[a>>2]=-1;c[a+4>>2]=-1;c[a+8>>2]=-1}return a|0}function XM(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;o=(e|0)==0;if(o)n=0;else{g=0;while(1)if((c[e+(g<<2)>>2]|0)>-1)g=g+1|0;else{n=g;break}}h=0;while(1)if((c[b+(h<<5)>>2]|0)>-1)h=h+1|0;else{g=0;break}while(1)if((c[d+(g<<5)>>2]|0)>-1)g=g+1|0;else break;g=DM(a,0,0,1,(g+h<<5)+32|0)|0;a:do if(!g)g=0;else{h=c[b>>2]|0;if((h|0)>-1){m=(n|0)>0;i=0;while(1){c[g+(i<<5)>>2]=h;c[g+(i<<5)+4>>2]=c[b+(i<<5)+4>>2];c[g+(i<<5)+8>>2]=c[b+(i<<5)+8>>2];c[g+(i<<5)+16>>2]=c[b+(i<<5)+16>>2]|f;c[g+(i<<5)+20>>2]=c[b+(i<<5)+20>>2];c[g+(i<<5)+24>>2]=c[b+(i<<5)+24>>2];c[g+(i<<5)+28>>2]=c[b+(i<<5)+28>>2];l=b+(i<<5)+12|0;j=c[l>>2]|0;h=(j|0)==0;if(o&h)h=0;else{if(h)k=0;else{h=0;while(1)if((c[j+(h<<2)>>2]|0)>-1)h=h+1|0;else{k=h;break}}h=DM(a,0,0,0,(k+n<<2)+4|0)|0;if(!h){g=0;break a}if((k|0)>0){l=c[l>>2]|0;j=0;do{c[h+(j<<2)>>2]=c[l+(j<<2)>>2];j=j+1|0}while((j|0)!=(k|0))}else k=0;if(m){j=0;do{c[h+(j+k<<2)>>2]=c[e+(j<<2)>>2];j=j+1|0}while((j|0)!=(n|0));j=n}else j=0;c[h+(j+k<<2)>>2]=-1}c[g+(i<<5)+12>>2]=h;i=i+1|0;h=c[b+(i<<5)>>2]|0;if((h|0)<=-1){n=i;break}}}else n=0;i=c[d>>2]|0;h=g+(n<<5)|0;if((i|0)>-1){m=0;l=n;do{c[h>>2]=i;c[g+(l<<5)+4>>2]=c[d+(m<<5)+4>>2];c[g+(l<<5)+8>>2]=c[d+(m<<5)+8>>2];c[g+(l<<5)+16>>2]=c[d+(m<<5)+16>>2];c[g+(l<<5)+20>>2]=c[d+(m<<5)+20>>2];c[g+(l<<5)+24>>2]=c[d+(m<<5)+24>>2];c[g+(l<<5)+28>>2]=c[d+(m<<5)+28>>2];j=d+(m<<5)+12|0;h=c[j>>2]|0;if(!h)h=0;else{i=0;while(1)if((c[h+(i<<2)>>2]|0)>-1)i=i+1|0;else break;h=DM(a,0,0,0,(i<<2)+4|0)|0;if(!h){g=0;break a}if((i|0)>0){k=c[j>>2]|0;j=0;do{c[h+(j<<2)>>2]=c[k+(j<<2)>>2];j=j+1|0}while((j|0)!=(i|0))}else i=0;c[h+(i<<2)>>2]=-1}c[g+(l<<5)+12>>2]=h;m=m+1|0;i=c[d+(m<<5)>>2]|0;l=m+n|0;h=g+(l<<5)|0}while((i|0)>-1)}c[h>>2]=-1}while(0);return g|0}function YM(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0;o=QM(a)|0;p=(f|0)!=0;if(p)c[f>>2]=0;b=RM(a,b)|0;a:do if(!b){m=(d|0)==0;l=(e|0)==0;if((QM(a)|0)>(o|0))while(1){b=UM(a)|0;b:do switch(c[b>>2]|0){case 0:{b=c[b+4>>2]|0;switch(c[b>>2]|0){case -3:break;case -2:{if(l)break b;c[e>>2]=c[e>>2]|c[b+4>>2];break b}default:break b}h=c[b+4>>2]|0;if((h|0)>-1){c:do if(!m){b=0;while(1){i=d+(b<<2)|0;j=c[i>>2]|0;if((j|0)<=-1)break;if((j|0)==(h|0))break c;else b=b+1|0}c[i>>2]=h;c[d+(b+1<<2)>>2]=-1}while(0);if(p)c[f>>2]=(c[f>>2]|0)+1}break}case 3:{b=c[b+4>>2]|0;h=c[b>>2]|0;if(c[h+8>>2]|0){k=h;n=6;break b}b=c[b+4>>2]|0;if(c[b+8>>2]|0){k=b;n=6}break}case 1:{b=c[b+4>>2]|0;h=RM(a,c[b>>2]|0)|0;if(h|0){g=h;break a}k=c[b+4>>2]|0;n=6;break}case 2:{b=c[c[b+4>>2]>>2]|0;if(c[b+8>>2]|0){k=b;n=6}break}default:{}}while(0);if((n|0)==6?(n=0,g=RM(a,k)|0,g|0):0)break a;if((QM(a)|0)<=(o|0)){g=0;break a}}else g=0}else g=b;while(0);return g|0}function ZM(a,b){a=a|0;b=b|0;var d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+16|0;g=k;d=a+12|0;e=c[d>>2]|0;j=c[a>>2]|0;if((e|0)>=(j|0)){d=c[a+4>>2]|0;if((j|0)<(d|0)?(f=(c[a+8>>2]|0)+j|0,f=(f|0)>(d|0)?d:f,h=a+16|0,i=aJ(c[h>>2]|0,f<<2)|0,(i|0)!=0):0){c[a>>2]=f;c[h>>2]=i;c[g>>2]=c[b>>2];ZM(a,g)|0;d=0}else d=12}else{c[(c[a+16>>2]|0)+(e<<2)>>2]=c[b>>2];c[d>>2]=(c[d>>2]|0)+1;d=0}l=k;return d|0}function _M(a,b,d){a=a|0;b=b|0;d=d|0;a=DM(a,0,0,1,32)|0;if((d|0)!=0&(a|0)!=0){c[a+4>>2]=d;c[a>>2]=b;c[a+8>>2]=-1;c[a+12>>2]=-1}else a=0;return a|0}function $M(b,d,e,f,g,h,i,j){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;h=h|0;i=i|0;j=j|0;var k=0,l=0,m=0,n=0,o=0,p=0,q=0,r=0;r=QM(d)|0;RM(d,e)|0;e=SM(d,0)|0;a:do if(!e){q=(f&1|0)==0;p=(f&2|0)!=0;o=0;l=1;e=i;while(1){if((QM(d)|0)>(r|0))n=e;else{f=o;e=0;break a}b:while(1){c:while(1){switch(TM(d)|0){case 1:{i=7;break c}case 0:{e=UM(d)|0;switch(c[e>>2]|0){case 0:{i=9;break b}case 3:{i=19;break b}case 1:{i=26;break b}case 2:{i=33;break c}default:{}}break}default:{}}if((QM(d)|0)<=(r|0)){f=o;e=0;break a}}if((i|0)==7)e=UM(d)|0;else if((i|0)==33){f=c[e+4>>2]|0;e=RM(d,c[f>>2]|0)|0;if(e|0){f=o;break a}e=SM(d,0)|0;if(e|0){f=o;break a}e=aN(b,c[f>>2]|0,c[f+4>>2]|0,c[f+8>>2]|0,a[f+12>>0]&1)|0;c[n>>2]=e;if(!e){f=o;e=12;break a}e=c[e+4>>2]|0}if((QM(d)|0)>(r|0))n=e;else{f=o;e=0;break a}}if((i|0)==9){m=c[e+4>>2]|0;i=c[m+8>>2]|0;f=c[m>>2]|0;e=c[m+4>>2]|0;if(!((f|0)>-1|(f|0)==-4))if(q|(f|0)!=-3)if((f|0)==-3)if(p&(l|0)!=0){c[h+(e<<2)>>2]=1;f=-3;k=o;l=0}else{f=-3;k=o}else k=o;else{e=-1;f=-1;i=-1;k=o}else{i=(c[g>>2]|0)+i|0;k=o+1|0}e=KM(b,f,e,i)|0;c[n>>2]=e;if(!e)e=12;else{e=c[e+4>>2]|0;c[e+12>>2]=c[m+12>>2];c[e+16>>2]=c[m+16>>2];e=0}if((i|0)>(c[j>>2]|0)){c[j>>2]=i;f=n}else f=n}else if((i|0)==19){i=c[e+4>>2]|0;f=i+4|0;e=bN(b,c[i>>2]|0,c[f>>2]|0)|0;c[n>>2]=e;if(!e){f=o;e=12;break a}m=c[e+4>>2]|0;e=RM(d,c[f>>2]|0)|0;if(e|0){f=o;break a}e=SM(d,0)|0;if(e|0){f=o;break a}e=RM(d,m+4|0)|0;if(e|0){f=o;break a}e=SM(d,1)|0;if(e|0){f=o;break a}e=RM(d,c[i>>2]|0)|0;if(e|0){f=o;break a}k=o;f=m;e=SM(d,0)|0}else if((i|0)==26){m=c[e+4>>2]|0;i=m+4|0;e=LM(b,c[m>>2]|0,c[i>>2]|0)|0;c[n>>2]=e;if(!e){f=o;e=12;break a}f=c[e+4>>2]|0;c[f>>2]=0;k=f+4|0;c[k>>2]=0;e=RM(d,c[i>>2]|0)|0;if(e|0){f=o;break a}e=SM(d,0)|0;if(e|0){f=o;break a}e=RM(d,k)|0;if(e|0){f=o;break a}e=SM(d,1)|0;if(e|0){f=o;break a}e=RM(d,c[m>>2]|0)|0;if(e|0){f=o;break a}k=o;e=SM(d,0)|0}if(!e){o=k;e=f}else{f=k;break}}}else f=0;while(0);c[g>>2]=(c[g>>2]|0)+f;return e|0}function aN(b,d,e,f,g){b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0;h=DM(b,0,0,1,16)|0;b=_M(b,2,h)|0;if(!b)b=0;else{c[h>>2]=d;c[h+4>>2]=e;c[h+8>>2]=f;h=h+12|0;a[h>>0]=a[h>>0]&-2|g&1;c[b+16>>2]=c[d+16>>2]}return b|0}function bN(a,b,d){a=a|0;b=b|0;d=d|0;var e=0;if(b){e=DM(a,0,0,1,8)|0;a=_M(a,3,e)|0;if((d|0)!=0&(a|0)!=0){c[e>>2]=b;c[e+4>>2]=d;c[a+16>>2]=(c[d+16>>2]|0)+(c[b+16>>2]|0);d=a}else d=0}return d|0}function cN(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=DM(a,0,0,0,8)|0;if(((e|0)!=0?(d=KM(a,-3,d,-1)|0,c[e>>2]=d,(d|0)!=0):0)?(f=DM(a,0,0,0,32)|0,c[e+4>>2]=f,(f|0)!=0):0){a=b+4|0;c[f+4>>2]=c[a>>2];c[f>>2]=c[b>>2];c[f+8>>2]=-1;c[f+12>>2]=-1;f=f+16|0;c[f>>2]=0;c[f+4>>2]=0;c[f+8>>2]=0;c[f+12>>2]=0;c[a>>2]=e;c[b>>2]=1;a=0}else a=12;return a|0}function dN(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;f=c[a>>2]|0;if((f|0)>-1){g=c[b+16>>2]|0;e=0;b=f;do{f=b>>>1;c[((b&1|0)==0?g+(f*12|0)|0:g+(f*12|0)+4|0)>>2]=d;e=e+1|0;b=c[a+(e<<2)>>2]|0}while((b|0)>-1)}c[a>>2]=-1;return}function eN(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=DM(a,0,0,0,8)|0;if(((e|0)!=0?(d=KM(a,-3,d,-1)|0,c[e+4>>2]=d,(d|0)!=0):0)?(f=DM(a,0,0,0,32)|0,c[e>>2]=f,(f|0)!=0):0){a=b+4|0;c[f+4>>2]=c[a>>2];c[f>>2]=c[b>>2];c[f+8>>2]=-1;c[f+12>>2]=-1;f=f+16|0;c[f>>2]=0;c[f+4>>2]=0;c[f+8>>2]=0;c[f+12>>2]=0;c[a>>2]=e;c[b>>2]=1;a=0}else a=12;return a|0}function fN(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0;m=l;l=l+16|0;j=m;i=b+32|0;h=c[i>>2]|0;g=h&1;a:do switch(a[d>>0]|0){case 91:{e=jN(b,d+1|0)|0;break}case 92:{e=d+1|0;f=kN(e)|0;if(f|0){e=fN(b,f)|0;c[b+12>>2]=d+2;break a}f=a[e>>0]|0;switch(f|0){case 0:{e=5;break a}case 98:{f=KM(c[b>>2]|0,-2,64,-1)|0;break}case 66:{f=KM(c[b>>2]|0,-2,128,-1)|0;break}case 60:{f=KM(c[b>>2]|0,-2,16,-1)|0;break}case 62:{f=KM(c[b>>2]|0,-2,32,-1)|0;break}case 120:{h=d+2|0;i=(a[h>>0]|0)==123;g=i?8:2;h=i?d+3|0:h;e=0;f=0;do{d=lN(a[h+e>>0]|0)|0;if((d|0)<0)break;f=d+(f<<4)|0;e=e+1|0}while((f|0)<1114112&(e|0)<(g|0));e=h+e|0;if(i){if((a[e>>0]|0)!=125){e=9;break a}e=e+1|0}j=c[b>>2]|0;i=b+24|0;k=c[i>>2]|0;c[i>>2]=k+1;f=KM(j,f,f,k)|0;e=e+-1|0;break}case 63:case 43:case 123:if(!g){e=13;break a}else{k=37;break a}case 124:{if(g|0){k=37;break a}e=KM(c[b>>2]|0,-1,-1,-1)|0;k=45;break a}default:{if(!((g|0)==0&(f+-49|0)>>>0<9)){k=37;break a}j=f+-48|0;k=c[b>>2]|0;i=b+24|0;f=c[i>>2]|0;c[i>>2]=f+1;f=KM(k,-4,j,f)|0;k=b+28|0;i=c[k>>2]|0;c[k>>2]=(j|0)<(i|0)?i:j}}d=e+1|0;e=f;k=45;break}case 46:{e=c[b>>2]|0;g=b+24|0;f=c[g>>2]|0;c[g>>2]=f+1;if(h&4){f=KM(e,0,9,f)|0;k=c[b>>2]|0;e=c[g>>2]|0;c[g>>2]=e+1;e=KM(k,11,1114111,e)|0;if((f|0)!=0&(e|0)!=0)e=bN(c[b>>2]|0,f,e)|0;else e=0}else e=KM(e,0,1114111,f)|0;d=d+1|0;k=45;break}case 94:{if((g|0)==0?(c[b+16>>2]|0)!=(d|0):0){e=d;k=37;break a}d=d+1|0;e=KM(c[b>>2]|0,-2,1,-1)|0;k=45;break}case 36:{e=d+1|0;if((g|0)==0?a[e>>0]|0:0){e=d;k=37;break a}d=e;e=KM(c[b>>2]|0,-2,2,-1)|0;k=45;break}case 63:case 43:case 123:case 42:{if(!g){e=d;k=37}else e=13;break}case 124:{if(!g){e=d;k=37}else k=36;break}case 0:{k=36;break}default:{e=d;k=37}}while(0);if((k|0)==36){e=KM(c[b>>2]|0,-1,-1,-1)|0;k=45}else if((k|0)==37){h=UL(j,e,-1)|0;if((h|0)<0)e=2;else{do if(c[i>>2]&2){if((IK(c[j>>2]|0)|0)==0?(HK(c[j>>2]|0)|0)==0:0){k=43;break}i=c[b>>2]|0;n=lK(c[j>>2]|0)|0;g=lK(c[j>>2]|0)|0;f=b+24|0;g=KM(i,n,g,c[f>>2]|0)|0;n=c[b>>2]|0;i=KK(c[j>>2]|0)|0;d=KK(c[j>>2]|0)|0;d=KM(n,i,d,c[f>>2]|0)|0;if((g|0)!=0&(d|0)!=0)g=bN(c[b>>2]|0,g,d)|0;else g=0}else k=43;while(0);if((k|0)==43){g=c[j>>2]|0;f=b+24|0;g=KM(c[b>>2]|0,g,g,c[f>>2]|0)|0}c[f>>2]=(c[f>>2]|0)+1;d=e+h|0;e=g;k=45}}if((k|0)==45)if(!e)e=12;else{c[b+8>>2]=e;c[b+12>>2]=d;e=0}l=m;return e|0}function gN(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0;j=l;l=l+16|0;i=j+4|0;g=j;b=iN(b,i)|0;if((a[b>>0]|0)==44){b=iN(b+1|0,g)|0;h=c[g>>2]|0;g=c[i>>2]|0}else{i=c[i>>2]|0;c[g>>2]=i;h=i;g=i}do if(!(g>>>0>255|((h|0)>255|(h|0)>-1&(h|0)<(g|0)))){if(!d)if((a[b>>0]|0)==92)b=b+1|0;else{b=0;break}if((a[b>>0]|0)==125){c[e>>2]=g;c[f>>2]=h;b=b+1|0}else b=0}else b=0;while(0);l=j;return b|0}function hN(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0;if((c[b+12>>2]|0)>-1){e=KM(c[a>>2]|0,-1,-1,-1)|0;if((e|0)!=0?(f=LM(c[a>>2]|0,e,b)|0,(f|0)!=0):0){e=c[b+16>>2]|0;c[f+16>>2]=e;g=6}else e=12}else{f=b;e=c[b+16>>2]|0;g=6}if((g|0)==6){c[f+12>>2]=d;c[f+16>>2]=e+1;c[a+8>>2]=f;e=0}return e|0}function iN(b,d){b=b|0;d=d|0;var e=0;c[d>>2]=-1;a:do if(_J(a[b>>0]|0)|0){c[d>>2]=0;e=0;do{c[d>>2]=(e*10|0)+-48+(a[b>>0]|0);b=b+1|0;if(!(_J(a[b>>0]|0)|0))break a;e=c[d>>2]|0}while((e|0)<=255)}while(0);return b|0}function jN(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0;s=l;l=l+288|0;e=s+264|0;g=s;c[e>>2]=c[b>>2];h=e+8|0;c[h>>2]=0;c[e+12>>2]=32;p=ZI(128)|0;r=e+4|0;c[r>>2]=p;if(!p)d=12;else{f=g+4|0;c[f>>2]=0;p=(a[d>>0]|0)==94;c[g>>2]=p&1;d=mN(b,p?d+1|0:d,e,g)|0;a:do if(!d){p=(c[g>>2]|0)==0;if(!p){rL(c[r>>2]|0,c[h>>2]|0,4,41);d=oN(e)|0;if(!d){d=12;e=0;break}c[d>>2]=1114112;c[d+4>>2]=1114112;c[d+8>>2]=-1;d=c[f>>2]|0;if(d){e=d<<2;f=DM(c[b>>2]|0,0,0,0,e+4|0)|0;if(!f){d=12;e=0;break}TN(f|0,g+8|0,e|0)|0;c[f+(d<<2)>>2]=0}else f=0}else f=0;m=c[h>>2]|0;if((m|0)>0){n=c[r>>2]|0;o=b+24|0;e=0;d=0;k=0;while(1){j=c[n+(k<<2)>>2]|0;g=c[j>>2]|0;h=j+4|0;i=c[h>>2]|0;do if(!p)if((g|0)>(d|0)){c[j>>2]=d;c[h>>2]=g+-1;d=i+1|0;q=14;break}else{j=i+1|0;d=(j|0)>=(d|0)?j:d;break}else q=14;while(0);if((q|0)==14){q=0;c[j+8>>2]=c[o>>2];c[j+16>>2]=f;j=_M(c[b>>2]|0,0,j)|0;e=bN(c[b>>2]|0,e,j)|0;if(!e){d=12;e=0;break a}}k=k+1|0;if((k|0)>=(m|0)){d=0;break}}}else{d=0;e=0}}else e=0;while(0);_I(c[r>>2]|0);r=b+24|0;c[r>>2]=(c[r>>2]|0)+1;c[b+8>>2]=e}l=s;return d|0}function kN(b){b=b|0;var d=0;d=a[b>>0]|0;b=0;while(1){if((a[56576+(b<<3)>>0]|0)==d<<24>>24)break;b=b+1|0;if((b|0)==12){b=12;break}}return c[56576+(b<<3)+4>>2]|0}function lN(a){a=a|0;var b=0;b=a+-48|0;if(b>>>0<10)return b|0;else{b=a|32;return ((b+-97|0)>>>0<6?b+-87|0:-1)|0}return 0}function mN(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0;t=l;l=l+32|0;o=t;q=t+4|0;i=UL(o,d,-1)|0;g=a[d>>0]|0;a:do if((i|0)>=1){r=f+4|0;n=b+32|0;h=d;j=i;b:while(1){i=(h|0)==(d|0);if(!(i|g<<24>>24!=93)){s=5;break}c:do if(!(i|g<<24>>24!=45)){switch(a[h+1>>0]|0){case 93:break c;case 45:break;default:{g=11;break a}}if((a[h+2>>0]|0)==93){g=11;break a}}while(0);d:do if(g<<24>>24==91){switch(a[h+1>>0]|0){case 61:case 46:{g=3;break a}case 58:break;default:{s=17;break d}}i=h+2|0;g=0;e:while(1){switch(a[i+g>>0]|0){case 0:{s=16;break b}case 58:break e;default:{}}if((g|0)<13)g=g+1|0;else{s=16;break b}}TN(q|0,i|0,g|0)|0;a[q+g>>0]=0;j=aL(q)|0;if(!j){s=16;break b}h=i+(g+2)|0;if((a[i+(g+1)>>0]|0)!=93){s=16;break b}if(!(c[f>>2]|0)){g=1114111;m=0;k=1;s=25}else{g=c[r>>2]|0;if((g|0)>63){g=12;break a}c[r>>2]=g+1;c[f+8+(g<<2)>>2]=j}}else s=17;while(0);if((s|0)==17){s=0;i=c[o>>2]|0;h=h+j|0;if((a[h>>0]|0)==45?(p=h+1|0,(a[p>>0]|0)!=93):0){h=UL(o,p,-1)|0;g=c[o>>2]|0;if((h|0)<1|(i|0)>(g|0)){g=11;break a}j=0;m=i;h=p+h|0;k=0;s=25}else{j=0;g=i;m=i;k=0;s=25}}if((s|0)==25){s=0;i=oN(e)|0;if(!i){g=12;break a}c[i>>2]=m;c[i+4>>2]=g;c[i+12>>2]=j;c[i+8>>2]=-1;if(!(k|(c[n>>2]&2|0)==0)?(pN(e,m,g)|0)!=0:0){g=12;break a}}j=UL(o,h,-1)|0;g=a[h>>0]|0;if((j|0)<1){s=3;break a}}if((s|0)==5){c[b+12>>2]=h+1;g=0;break}else if((s|0)==16){g=4;break}}else s=3;while(0);if((s|0)==3)g=g<<24>>24?2:7;l=t;return g|0}function nN(a,b){a=a|0;b=b|0;return (c[c[a>>2]>>2]|0)-(c[c[b>>2]>>2]|0)|0}function oN(a){a=a|0;var b=0,d=0,e=0,f=0,g=0,h=0,i=0;h=a+8|0;d=c[h>>2]|0;e=a+12|0;f=c[e>>2]|0;if((d|0)>=(f|0))if((f|0)<=32767?(c[e>>2]=f<<1,g=a+4|0,b=aJ(c[g>>2]|0,f<<3)|0,(b|0)!=0):0){c[g>>2]=b;d=c[h>>2]|0;i=6}else b=0;else{b=c[a+4>>2]|0;i=6}if((i|0)==6){c[h>>2]=d+1;i=DM(c[a>>2]|0,0,0,1,20)|0;c[b+(d<<2)>>2]=i;b=i}return b|0}function pN(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0,g=0,h=0;a:do if((b|0)>(d|0))b=0;else while(1){b:do if(!(HK(b)|0)){if(!(IK(b)|0)){b=b+1|0;break}f=KK(b)|0;e=f;while(1){g=b+1|0;e=e+1|0;if((b|0)>=(d|0)){h=f;b=g;g=12;break b}if((KK(g)|0)==(e|0))b=g;else{h=f;b=g;g=12;break}}}else{f=lK(b)|0;e=f;while(1){g=b+1|0;e=e+1|0;if((b|0)>=(d|0)){h=f;b=g;g=12;break b}if((lK(g)|0)==(e|0))b=g;else{h=f;b=g;g=12;break}}}while(0);if((g|0)==12){g=0;f=oN(a)|0;if(!f){b=-1;break a}c[f>>2]=h;c[f+4>>2]=e+-1;c[f+8>>2]=-1}if((b|0)>(d|0)){b=0;break}}while(0);return b|0}function qN(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0;n=l;l=l+16|0;k=n;i=c[a+4>>2]|0;j=i+56|0;h=(c[j>>2]&8|0)==0?d:0;a=c[i+40>>2]|0;if((a|0)>0&(h|0)!=0){a=ZI(a<<2)|0;if(!a)a=12;else{g=a;d=a;m=3}}else{g=0;d=0;m=3}if((m|0)==3){if(!(c[i+60>>2]|0))a=sN(i,b,g,f,k)|0;else a=rN(i,b,g,f,k)|0;if(!a)tN(h,e,c[j>>2]|0,i,g,c[k>>2]|0);if(g)_I(d)}l=n;return a|0}function rN(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,O=0,P=0,Q=0,R=0,S=0,T=0,U=0,V=0;V=l;l=l+16|0;T=V;c[T>>2]=0;o=e&1;R=e&2;S=a+56|0;n=c[S>>2]&4;U=BM(0,0)|0;a:do if(U){p=DM(U,0,0,0,32)|0;if(!p){CM(U);e=12;break}c[p+24>>2]=0;c[p+28>>2]=0;Q=a+40|0;e=c[Q>>2]|0;if(e){e=ZI(e<<2)|0;if(!e){m=0;k=0;j=e;e=12;i=0;h=0;g=0}else{j=e;i=e;C=6}}else{j=0;i=0;C=6}b:do if((C|0)==6){e=c[a+28>>2]|0;if(e){e=ZI(e<<3)|0;if(!e){m=e;k=0;e=12;h=0;g=0;break}else{m=e;h=e}}else{m=0;h=0}P=a+52|0;e=c[P>>2]|0;if(e){e=ZI(e<<2)|0;if(!e){k=e;e=12;g=0;break}else{k=e;g=e}}else{k=0;g=0}K=a+8|0;L=a+12|0;M=(d|0)==0;N=(d|0)!=0;O=a+32|0;J=(n|0)!=0;I=(o|0)==0;r=b;e=1;q=-1;v=-1;B=0;c:while(1){n=c[Q>>2]|0;if((n|0)>0){o=0;do{c[j+(o<<2)>>2]=-1;if(!M){c[d+(o<<2)>>2]=-1;n=c[Q>>2]|0}o=o+1|0}while((o|0)<(n|0))}n=c[P>>2]|0;if((n|0)>0)VN(g|0,0,n<<2|0)|0;G=e+q|0;e=UL(T,r,4)|0;if((e|0)<1)if((e|0)<0){e=1;break b}else e=1;F=r+e|0;H=c[T>>2]|0;n=c[K>>2]|0;o=n+8|0;if(c[o>>2]|0){w=(G|0)!=0;x=(B|0)==95;y=(G|0)==0;A=J&(B|0)==10;z=(G|0)<1&I;u=n;n=0;t=0;s=o;while(1){r=u+20|0;o=c[r>>2]|0;d:do if(o)if((o&1|0)==0|z|A){if(o&2|0?(E=c[T>>2]|0,!((E|R|0)==0|J&(E|0)==10)):0){q=t;break}do if(o&16|0){if(x){q=t;break d}if(DK(B)|0){q=t;break d}o=c[T>>2]|0;if((o|0)==95)break;if(!(DK(o)|0)){q=t;break d}}while(0);o=c[r>>2]|0;if(o&32){if(x){o=c[T>>2]|0;if((o|0)==95){q=t;break}}else{E=(DK(B)|0)==0;o=c[T>>2]|0;if(E|(o|0)==95){q=t;break}}if(DK(o)|0){q=t;break}o=c[r>>2]|0}q=c[T>>2]|0;do if((q|0)!=0&(w&(o&64|0)!=0)){if(x)o=1;else{o=(DK(B)|0)!=0;q=c[T>>2]|0}if((q|0)==95)if(o){q=t;break d}else break;else if(o^(DK(q)|0)!=0)break;else{q=t;break d}}while(0);if(!(c[r>>2]&128)){C=49;break}o=c[T>>2]|0;if(y|(o|0)==0){q=t;break}if(x)q=1;else{q=(DK(B)|0)!=0;o=c[T>>2]|0}if((o|0)==95)if(q){C=49;break}else{q=t;break}else if(q^(DK(o)|0)!=0){q=t;break}else{C=49;break}}else q=t;else C=49;while(0);do if((C|0)==49){C=0;if(!t){n=c[u+16>>2]|0;q=c[s>>2]|0;break}q=p+28|0;o=c[q>>2]|0;if(!o){o=DM(U,0,0,0,32)|0;if(!o){C=53;break c}c[o+24>>2]=p;c[o+28>>2]=0;E=DM(U,0,0,0,c[Q>>2]<<2)|0;c[o+20>>2]=E;if(!E){C=60;break c}c[q>>2]=o;p=o}else p=o;c[p>>2]=G;c[p+4>>2]=F;c[p+8>>2]=c[s>>2];c[p+12>>2]=c[u+12>>2];c[p+16>>2]=c[T>>2];if((c[Q>>2]|0)>0){q=c[p+20>>2]|0;o=0;do{c[q+(o<<2)>>2]=c[j+(o<<2)>>2];o=o+1|0}while((o|0)<(c[Q>>2]|0))}o=c[u+16>>2]|0;if(!o)q=t;else{q=c[o>>2]|0;if((q|0)<=-1){q=t;break}r=c[p+20>>2]|0;do{o=o+4|0;c[r+(q<<2)>>2]=G;q=c[o>>2]|0}while((q|0)>-1);q=t}}while(0);s=u+40|0;if(!(c[s>>2]|0))break;else{u=u+32|0;t=q}}if(n){o=c[n>>2]|0;if((o|0)>-1)do{c[j+(o<<2)>>2]=G;n=n+4|0;o=c[n>>2]|0}while((o|0)>-1)}else n=0;if(!q)C=171;else{s=G;r=F;w=q;x=n;C=79}}else{n=0;C=171}e:while(1){if((C|0)==79){if((w|0)==(c[L>>2]|0)){if((v|0)>=(s|0)){if(!(N&(v|0)==(s|0))){n=x;C=171;continue}n=c[Q>>2]|0;if(!(vN(n,c[O>>2]|0,j,d)|0)){n=x;C=171;continue}}else{if(M){v=s;n=x;C=171;continue}n=c[Q>>2]|0}if((n|0)>0)n=0;else{v=s;n=x;C=171;continue}while(1){c[d+(n<<2)>>2]=c[j+(n<<2)>>2];n=n+1|0;if((n|0)>=(c[Q>>2]|0)){v=s;n=x;C=171;continue e}}}u=w+8|0;if((c[u>>2]|0)!=0?(c[w+20>>2]&256|0)!=0:0){o=c[w+24>>2]|0;tN(o+1|0,m,c[S>>2]&-9,a,j,s);E=c[m+(o<<3)>>2]|0;o=(c[m+(o<<3)+4>>2]|0)-E|0;if(VJ(b+E|0,r+-1|0,o)|0){n=x;C=171;continue}E=(o|0)==0;n=E&1;q=c[w+12>>2]|0;if(E?c[k+(q<<2)>>2]|0:0){n=x;C=171;continue}c[k+(q<<2)>>2]=n;o=o+-1|0;r=r+o|0;o=o+s|0;q=c[T>>2]|0;n=UL(T,r,4)|0;if((n|0)<1)if((n|0)<0){e=1;break b}else n=1;D=r+n|0;E=n}else{q=c[T>>2]|0;if(!q){n=x;C=171;continue}n=UL(T,r,4)|0;if((n|0)<1)if((n|0)<0){e=1;break b}else n=1;o=s;D=r+n|0;E=n}s=o+e|0;if(!(c[u>>2]|0)){e=E;n=x;C=171;continue}y=(s|0)!=0;z=(q|0)==95;A=(s|0)==0;C=J&(q|0)==10;B=(s|0)<1&I;t=0;n=x;while(1){f:do if((c[w>>2]|0)>>>0<=q>>>0){if((c[w+4>>2]|0)>>>0<q>>>0)break;r=w+20|0;e=c[r>>2]|0;do if(e|0){if(!((e&1|0)==0|B|C))break f;if(e&2|0?(x=c[T>>2]|0,!((x|R|0)==0|J&(x|0)==10)):0)break f;do if(e&16|0){if(z)break f;if(DK(q)|0)break f;e=c[T>>2]|0;if((e|0)==95)break;if(!(DK(e)|0))break f}while(0);e=c[r>>2]|0;if(e&32){if(z){e=c[T>>2]|0;if((e|0)==95)break f}else{x=(DK(q)|0)==0;e=c[T>>2]|0;if(x|(e|0)==95)break f}if(DK(e)|0)break f;e=c[r>>2]|0}o=c[T>>2]|0;do if((o|0)!=0&(y&(e&64|0)!=0)){if(z)e=1;else{e=(DK(q)|0)!=0;o=c[T>>2]|0}if((o|0)==95)if(e)break f;else break;else if(e^(DK(o)|0)!=0)break;else break f}while(0);do if(c[r>>2]&128|0){e=c[T>>2]|0;if(A|(e|0)==0)break f;if(z)o=1;else{o=(DK(q)|0)!=0;e=c[T>>2]|0}if((e|0)==95)if(o)break;else break f;else if(o^(DK(e)|0)!=0)break f;else break}while(0);e=c[r>>2]|0;do if(e&4){if(c[S>>2]&2|0)break;if(!(CK(q,c[w+24>>2]|0)|0))break f;e=c[r>>2]|0}while(0);do if(e&4|0){if(!(c[S>>2]&2))break;x=KK(q)|0;e=w+24|0;if(CK(x,c[e>>2]|0)|0)break;x=lK(q)|0;if(!(CK(x,c[e>>2]|0)|0))break f}while(0);if(!(c[r>>2]&8))break;if(uN(c[w+28>>2]|0,q,c[S>>2]&2)|0)break f}while(0);if(!t){t=c[u>>2]|0;n=c[w+16>>2]|0;break}o=p+28|0;e=c[o>>2]|0;if(!e){e=DM(U,0,0,0,32)|0;if(!e){C=145;break c}c[e+24>>2]=p;c[e+28>>2]=0;x=DM(U,0,0,0,c[Q>>2]<<2)|0;c[e+20>>2]=x;if(!x){C=152;break c}c[o>>2]=e;p=e}else p=e;c[p>>2]=s;c[p+4>>2]=D;c[p+8>>2]=c[u>>2];c[p+12>>2]=c[w+12>>2];c[p+16>>2]=c[T>>2];if((c[Q>>2]|0)>0){o=c[p+20>>2]|0;e=0;do{c[o+(e<<2)>>2]=c[j+(e<<2)>>2];e=e+1|0}while((e|0)<(c[Q>>2]|0))}e=c[w+16>>2]|0;if(!e)break;o=c[e>>2]|0;if((o|0)<=-1)break;r=c[p+20>>2]|0;do{c[r+(o<<2)>>2]=s;e=e+4|0;o=c[e>>2]|0}while((o|0)>-1)}while(0);u=w+40|0;if(!(c[u>>2]|0))break;else w=w+32|0}if(!t){e=E;C=171;continue}if(n){e=c[n>>2]|0;if((e|0)>-1){do{n=n+4|0;c[j+(e<<2)>>2]=s;e=c[n>>2]|0}while((e|0)>-1);q=v;o=D;e=E}else{q=v;o=D;e=E}}else{q=v;o=D;e=E;n=0}}else if((C|0)==171){C=0;r=c[p+24>>2]|0;if(!r)break;t=c[p+8>>2]|0;if(c[t+20>>2]&256|0)c[k+(c[p+12>>2]<<2)>>2]=0;s=c[p>>2]|0;u=c[p+4>>2]|0;c[T>>2]=c[p+16>>2];q=c[Q>>2]|0;if((q|0)>0){p=c[p+20>>2]|0;o=0;do{c[j+(o<<2)>>2]=c[p+(o<<2)>>2];o=o+1|0}while((o|0)<(q|0));p=r;q=v;o=u}else{p=r;q=v;o=u}}r=o;v=q;w=t;x=n;C=79}n=(v|0)>-1;if(n|(c[T>>2]|0)==0){C=180;break}c[T>>2]=H;r=F;q=G;B=H}if((C|0)==53){CM(U);if(j|0)_I(i);if(m|0)_I(h);if(!k){e=12;break a}_I(g);e=12;break a}else if((C|0)==60){CM(U);if(j|0)_I(i);if(m|0)_I(h);if(!k){e=12;break a}_I(g);e=12;break a}else if((C|0)==145){CM(U);if(j|0)_I(i);if(m|0)_I(h);if(!k){e=12;break a}_I(g);e=12;break a}else if((C|0)==152){CM(U);if(j|0)_I(i);if(m|0)_I(h);if(!k){e=12;break a}_I(g);e=12;break a}else if((C|0)==180){c[f>>2]=v;e=(n^1)&1;break}}while(0);CM(U);if(j|0)_I(i);if(m|0)_I(h);if(k)_I(g)}else e=12;while(0);l=V;return e|0}\nfunction sN(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,m=0,n=0,o=0,p=0,q=0,r=0,s=0,t=0,u=0,v=0,w=0,x=0,y=0,z=0,A=0,B=0,C=0,D=0,E=0,F=0,G=0,H=0,I=0,J=0,K=0,L=0,M=0,N=0,P=0,Q=0,R=0,S=0,T=0,U=0,V=0,W=0;W=l;l=l+16|0;T=W;c[T>>2]=0;k=e&1;Q=e&2;R=a+56|0;j=c[R>>2]&4;if(!d)N=0;else N=c[a+40>>2]|0;P=N<<2;i=a+52|0;e=c[i>>2]|0;h=e<<3;g=h+8|0;e=P+12+h+(g+(O(P,e)|0)<<1)|0;U=ZI(e)|0;if(!U)e=12;else{VN(U|0,0,e|0)|0;e=U+P|0;m=e&3;m=e+((m|0)==0?0:4-m|0)|0;e=m+g|0;n=e&3;n=e+((n|0)==0?0:4-n|0)|0;e=n+g|0;M=e&3;M=e+((M|0)==0?0:4-M|0)|0;e=M+h|0;g=e&3;i=c[i>>2]|0;h=(i|0)>0;if(h){e=e+((g|0)==0?0:4-g|0)|0;g=0;while(1){c[n+(g<<3)+4>>2]=e;e=e+P|0;c[m+(g<<3)+4>>2]=e;g=g+1|0;if((g|0)>=(i|0))break;else e=e+P|0}if(h){e=0;do{c[M+(e<<3)>>2]=-1;e=e+1|0}while((e|0)<(i|0))}}e=UL(T,b,4)|0;if((e|0)<1)if((e|0)<0)e=1;else{i=1;V=11}else{i=e;V=11}a:do if((V|0)==11){L=a+8|0;K=(j|0)!=0;E=(k|0)==0;F=(N|0)>0;G=a+12|0;H=(N|0)<1;I=a+44|0;J=a+32|0;C=a+36|0;D=(N|0)==0;h=0;v=b+i|0;u=0;j=0;e=-1;g=m;A=U;x=m;w=n;while(1){if((e|0)<0){a=c[L>>2]|0;k=a+8|0;b:do if(c[k>>2]|0){p=(u|0)!=0;q=(h|0)==95;r=(u|0)==0;t=K&(h|0)==10;s=(u|0)<1&E;while(1){c:while(1){o=a+12|0;if((c[M+(c[o>>2]<<3)>>2]|0)>=(u|0))break;n=a+20|0;b=c[n>>2]|0;if(!b){V=46;break}d:do if((b&1|0)==0|s|t){if(b&2|0?(B=c[T>>2]|0,!((B|Q|0)==0|K&(B|0)==10)):0)break;do if(b&16|0){if(q)break d;if(DK(h)|0)break d;b=c[T>>2]|0;if((b|0)==95)break;if(!(DK(b)|0))break d}while(0);b=c[n>>2]|0;if(b&32){if(q){b=c[T>>2]|0;if((b|0)==95)break}else{B=(DK(h)|0)==0;b=c[T>>2]|0;if(B|(b|0)==95)break}if(DK(b)|0)break;b=c[n>>2]|0}m=c[T>>2]|0;do if((m|0)!=0&(p&(b&64|0)!=0)){if(q)b=1;else{b=(DK(h)|0)!=0;m=c[T>>2]|0}if((m|0)==95)if(b)break d;else break;else if(b^(DK(m)|0)!=0)break;else break d}while(0);if(!(c[n>>2]&128)){V=46;break c}b=c[T>>2]|0;if(r|(b|0)==0)break;if(q)m=1;else{m=(DK(h)|0)!=0;b=c[T>>2]|0}if((b|0)==95)if(m){V=46;break c}else break;else if(m^(DK(b)|0)!=0)break;else{V=46;break c}}while(0);k=a+40|0;if(!(c[k>>2]|0))break b;else a=a+32|0}if((V|0)==46){V=0;c[g>>2]=c[k>>2];if(F)VN(c[g+4>>2]|0,-1,P|0)|0;k=c[a+16>>2]|0;if(k|0?(S=c[k>>2]|0,(S|0)>-1):0){m=g+4|0;b=S;do{if((b|0)<(N|0))c[(c[m>>2]|0)+(b<<2)>>2]=u;k=k+4|0;b=c[k>>2]|0}while((b|0)>-1)}k=(c[g>>2]|0)!=(c[G>>2]|0);if(k|H){j=k?j:1;e=k?e:u;k=g+4|0}else{k=g+4|0;j=c[k>>2]|0;e=0;do{c[d+(e<<2)>>2]=c[j+(e<<2)>>2];e=e+1|0}while((e|0)!=(N|0));j=1;e=u}B=c[o>>2]|0;c[M+(B<<3)>>2]=u;c[M+(B<<3)+4>>2]=k;g=g+8|0}k=a+40|0;if(!(c[k>>2]|0))break;else a=a+32|0}}while(0);c[g>>2]=0;g=c[T>>2]|0;if(!g)break;else h=g}else{if(D)break;h=c[T>>2]|0;if(!((g|0)!=(x|0)&(h|0)!=0))break}B=u+i|0;g=UL(T,v,4)|0;if((g|0)<1)if((g|0)<0){e=1;break a}else i=1;else i=g;z=v+i|0;if((j|0)!=0&(c[I>>2]|0)!=0){if(!(c[x>>2]|0))g=w;else{o=c[C>>2]|0;p=c[o>>2]|0;q=(p|0)>-1;n=x;g=w;do{m=n+4|0;e:do if(q){k=0;b=p;do{a=c[o+((k|1)<<2)>>2]|0;if((b|0)>=(N|0))break e;j=c[m>>2]|0;if((c[j+(a<<2)>>2]|0)==(c[d+(a<<2)>>2]|0)?(c[j+(b<<2)>>2]|0)<(c[d+(b<<2)>>2]|0):0)break e;k=k+2|0;b=c[o+(k<<2)>>2]|0}while((b|0)>-1);k=m;V=75}else{k=m;j=c[m>>2]|0;V=75}while(0);if((V|0)==75){V=0;c[g>>2]=c[n>>2];v=g+4|0;y=c[v>>2]|0;c[v>>2]=j;c[k>>2]=y;g=g+8|0}n=n+8|0}while((c[n>>2]|0)!=0)}c[g>>2]=0;y=x;j=0}else{y=w;w=x}k=c[w>>2]|0;if(!k){k=A;g=y}else{r=(B|0)!=0;s=(h|0)==95;t=(B|0)==0;v=K&(h|0)==10;u=(B|0)<1&E;q=w;a=A;g=y;while(1){b=k+8|0;if(c[b>>2]|0){p=q+4|0;o=a;n=b;while(1){f:do if((c[k>>2]|0)>>>0<=h>>>0?(c[k+4>>2]|0)>>>0>=h>>>0:0){m=k+20|0;a=c[m>>2]|0;do if(a|0){if(!((a&1|0)==0|u|v)){a=o;break f}if(a&2|0?(A=c[T>>2]|0,!((A|Q|0)==0|K&(A|0)==10)):0){a=o;break f}do if(a&16|0){if(s){a=o;break f}if(DK(h)|0){a=o;break f}a=c[T>>2]|0;if((a|0)==95)break;if(!(DK(a)|0)){a=o;break f}}while(0);a=c[m>>2]|0;if(a&32){if(s){a=c[T>>2]|0;if((a|0)==95){a=o;break f}}else{A=(DK(h)|0)==0;a=c[T>>2]|0;if(A|(a|0)==95){a=o;break f}}if(DK(a)|0){a=o;break f}a=c[m>>2]|0}b=c[T>>2]|0;do if((b|0)!=0&(r&(a&64|0)!=0)){if(s)a=1;else{a=(DK(h)|0)!=0;b=c[T>>2]|0}if((b|0)==95)if(a){a=o;break f}else break;else if(a^(DK(b)|0)!=0)break;else{a=o;break f}}while(0);do if(c[m>>2]&128|0){a=c[T>>2]|0;if(t|(a|0)==0){a=o;break f}if(s)b=1;else{b=(DK(h)|0)!=0;a=c[T>>2]|0}if((a|0)==95)if(b)break;else{a=o;break f}else if(b^(DK(a)|0)!=0){a=o;break f}else break}while(0);a=c[m>>2]|0;do if(a&4){if(c[R>>2]&2|0)break;if(!(CK(h,c[k+24>>2]|0)|0)){a=o;break f}a=c[m>>2]|0}while(0);do if(a&4|0){if(!(c[R>>2]&2))break;A=KK(h)|0;a=k+24|0;if(CK(A,c[a>>2]|0)|0)break;A=lK(h)|0;if(!(CK(A,c[a>>2]|0)|0)){a=o;break f}}while(0);if(!(c[m>>2]&8))break;if(uN(c[k+28>>2]|0,h,c[R>>2]&2)|0){a=o;break f}}while(0);if(F){b=c[p>>2]|0;a=0;do{c[o+(a<<2)>>2]=c[b+(a<<2)>>2];a=a+1|0}while((a|0)!=(N|0))}a=c[k+16>>2]|0;do if(a|0){b=c[a>>2]|0;if((b|0)<=-1)break;do{if((b|0)<(N|0))c[o+(b<<2)>>2]=B;a=a+4|0;b=c[a>>2]|0}while((b|0)>-1)}while(0);a=c[k+12>>2]|0;b=M+(a<<3)|0;if((c[b>>2]|0)>=(B|0)){a=c[M+(a<<3)+4>>2]|0;b=c[a>>2]|0;if(!(vN(N,c[J>>2]|0,o,b)|0)){a=o;break}c[a>>2]=o;if((c[n>>2]|0)!=(c[G>>2]|0)){a=b;break}if(F)e=0;else{j=1;a=b;e=B;break}while(1){c[d+(e<<2)>>2]=c[o+(e<<2)>>2];e=e+1|0;if((e|0)==(N|0)){j=1;a=b;e=B;break f}}}A=c[n>>2]|0;c[g>>2]=A;x=g+4|0;m=c[x>>2]|0;c[x>>2]=o;c[b>>2]=B;c[M+(a<<3)+4>>2]=x;do if((c[G>>2]|0)==(A|0)){if((e|0)==-1)if(F)e=0;else{e=B;j=1;break}else{if(!F)break;if((c[o>>2]|0)>(c[d>>2]|0))break;else e=0}do{c[d+(e<<2)>>2]=c[o+(e<<2)>>2];e=e+1|0}while((e|0)<(N|0));e=B;j=1}while(0);a=m;g=g+8|0}else a=o;while(0);n=k+40|0;if(!(c[n>>2]|0))break;else{k=k+32|0;o=a}}}q=q+8|0;k=c[q>>2]|0;if(!k){k=a;break}}}c[g>>2]=0;v=z;u=B;A=k;x=y}c[f>>2]=e;e=e>>>31}while(0);_I(U)}l=W;return e|0}function tN(a,b,d,e,f,g){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;g=g|0;var h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0;if((d&8|0)==0&(g|0)>-1?(m=c[e+16>>2]|0,n=c[e+28>>2]|0,l=(a|0)!=0&(n|0)!=0,l):0){k=c[e+48>>2]|0;j=0;do{d=c[m+(j*12|0)>>2]|0;if((d|0)==(k|0))i=g;else i=c[f+(d<<2)>>2]|0;h=b+(j<<3)|0;c[h>>2]=i;d=c[m+(j*12|0)+4>>2]|0;if((d|0)==(k|0))d=g;else d=c[f+(d<<2)>>2]|0;e=b+(j<<3)+4|0;c[e>>2]=d;if((d|0)==-1|(i|0)==-1){c[e>>2]=-1;c[h>>2]=-1}j=j+1|0}while(j>>>0<a>>>0&j>>>0<n>>>0);if(l){d=0;do{i=b+(d<<3)+4|0;j=c[m+(d*12|0)+8>>2]|0;if(j|0?(o=c[j>>2]|0,(o|0)>-1):0){k=b+(d<<3)|0;h=0;f=o;e=c[k>>2]|0;do{if(!((e|0)>=(c[b+(f<<3)>>2]|0)?(c[i>>2]|0)<=(c[b+(f<<3)+4>>2]|0):0)){c[i>>2]=-1;c[k>>2]=-1;e=-1}h=h+1|0;f=c[j+(h<<2)>>2]|0}while((f|0)>-1)}d=d+1|0}while(d>>>0<a>>>0&d>>>0<n>>>0)}else d=0}else d=0;if(d>>>0<a>>>0)VN(b+(d<<3)|0,-1,a-d<<3|0)|0;return}function uN(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;e=c[a>>2]|0;a:do if(!e)d=0;else{f=(d|0)==0;d=e;while(1){if(f){if(CK(b,d)|0){d=1;break a}}else{e=lK(b)|0;if(CK(e,c[a>>2]|0)|0){d=1;break a}e=KK(b)|0;if(CK(e,c[a>>2]|0)|0){d=1;break a}}a=a+4|0;d=c[a>>2]|0;if(!d){d=0;break}}}while(0);return d|0}function vN(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;a:do if((a|0)>0){f=0;while(1){h=c[d+(f<<2)>>2]|0;g=c[e+(f<<2)>>2]|0;if(!(c[b+(f<<2)>>2]|0)){if((h|0)<(g|0)){f=1;break a}if((h|0)>(g|0)){f=0;break a}}else{if((h|0)>(g|0)){f=1;break a}if((h|0)<(g|0)){f=0;break a}}f=f+1|0;if((f|0)>=(a|0)){f=0;break}}}else f=0;while(0);return f|0}function wN(b,d,e,f){b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0;k=O(e,d)|0;e=(d|0)==0?0:e;if((c[f+76>>2]|0)>-1)j=OK(f)|0;else j=0;g=f+74|0;h=a[g>>0]|0;a[g>>0]=h+255|h;g=f+4|0;h=c[g>>2]|0;i=(c[f+8>>2]|0)-h|0;if((i|0)>0){i=i>>>0<k>>>0?i:k;TN(b|0,h|0,i|0)|0;c[g>>2]=(c[g>>2]|0)+i;g=k-i|0;b=b+i|0}else g=k;a:do if(!g)l=13;else{i=f+32|0;while(1){if(eK(f)|0)break;h=bb[c[i>>2]&31](f,b,g)|0;if((h+1|0)>>>0<2)break;g=g-h|0;if(!g){l=13;break a}else b=b+h|0}if(j|0)PK(f);e=((k-g|0)>>>0)/(d>>>0)|0}while(0);if((l|0)==13)if(j)PK(f);return e|0}function xN(a){a=a|0;var b=0;if((c[a+76>>2]|0)>-1){b=(OK(a)|0)==0;a=yN(a)|0}else a=yN(a)|0;return a|0}function yN(a){a=a|0;var b=0;if(!(c[a>>2]&128))b=1;else b=(c[a+20>>2]|0)>>>0>(c[a+28>>2]|0)>>>0?2:1;b=bb[c[a+40>>2]&31](a,0,b)|0;if((b|0)>=0)b=b-(c[a+8>>2]|0)+(c[a+4>>2]|0)+(c[a+20>>2]|0)-(c[a+28>>2]|0)|0;return b|0}function zN(a){a=a|0;(c[a+76>>2]|0)>-1?OK(a)|0:0;return c[a+60>>2]|0}function AN(){var b=0,d=0,e=0,f=0,g=0,h=0,i=0,j=0,k=0;k=l;l=l+48|0;i=k+24|0;h=k+16|0;g=k;d=k+28|0;b=d;e=134988;f=b+20|0;do{a[b>>0]=a[e>>0]|0;b=b+1|0;e=e+1|0}while((b|0)<(f|0));e=d+13|0;b=0;while(1){AL(e)|0;c[g>>2]=d;c[g+4>>2]=32962;c[g+8>>2]=384;f=iJ(Ba(5,g|0)|0)|0;if((f|0)>-1){j=4;break}if((b|0)<99)b=b+1|0;else{b=0;break}}if((j|0)==4){c[h>>2]=d;sa(10,h|0)|0;b=SL(f,135008)|0;if(!b){c[i>>2]=f;Da(6,i|0)|0;b=0}}l=k;return b|0}function BN(a){a=a|0;var b=0,e=0,f=0;if((c[a+76>>2]|0)>=0?(OK(a)|0)!=0:0){b=a+4|0;e=c[b>>2]|0;if(e>>>0<(c[a+8>>2]|0)>>>0){c[b>>2]=e+1;b=d[e>>0]|0}else b=dK(a)|0}else f=3;do if((f|0)==3){b=a+4|0;e=c[b>>2]|0;if(e>>>0<(c[a+8>>2]|0)>>>0){c[b>>2]=e+1;b=d[e>>0]|0;break}else{b=dK(a)|0;break}}while(0);return b|0}function CN(b,d){b=b|0;d=d|0;var e=0,f=0,g=0,h=0,i=0,j=0,k=0;if((c[d+76>>2]|0)>=0?(OK(d)|0)!=0:0){f=b&255;e=b&255;if((e|0)!=(a[d+75>>0]|0)?(i=d+20|0,j=c[i>>2]|0,j>>>0<(c[d+16>>2]|0)>>>0):0){c[i>>2]=j+1;a[j>>0]=f}else e=YL(d,b)|0;PK(d)}else k=3;do if((k|0)==3){f=b&255;e=b&255;if((e|0)!=(a[d+75>>0]|0)?(g=d+20|0,h=c[g>>2]|0,h>>>0<(c[d+16>>2]|0)>>>0):0){c[g>>2]=h+1;a[h>>0]=f;break}e=YL(d,b)|0}while(0);return e|0}function DN(a){a=a|0;return xN(a)|0}function EN(){}function FN(a,b){a=a|0;b=b|0;var c=0,d=0,e=0,f=0;f=a&65535;e=b&65535;c=O(e,f)|0;d=a>>>16;a=(c>>>16)+(O(e,d)|0)|0;e=b>>>16;b=O(e,f)|0;return (z=(a>>>16)+(O(e,d)|0)+(((a&65535)+b|0)>>>16)|0,a+b<<16|c&65535|0)|0}function GN(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;var e=0,f=0;e=a;f=c;c=FN(e,f)|0;a=z;return (z=(O(b,f)|0)+(O(d,e)|0)+a|a&0,c|0|0)|0}function HN(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;c=a+c>>>0;return (z=b+d+(c>>>0<a>>>0|0)>>>0,c|0)|0}function IN(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;d=b-d-(c>>>0>a>>>0|0)>>>0;return (z=d,a-c>>>0|0)|0}function JN(b){b=b|0;var c=0;c=a[n+(b&255)>>0]|0;if((c|0)<8)return c|0;c=a[n+(b>>8&255)>>0]|0;if((c|0)<8)return c+8|0;c=a[n+(b>>16&255)>>0]|0;if((c|0)<8)return c+16|0;return (a[n+(b>>>24)>>0]|0)+24|0}function KN(a,b,d,e,f){a=a|0;b=b|0;d=d|0;e=e|0;f=f|0;var g=0,h=0,i=0,j=0,k=0,l=0,m=0,n=0,o=0,p=0;l=a;j=b;k=j;h=d;n=e;i=n;if(!k){g=(f|0)!=0;if(!i){if(g){c[f>>2]=(l>>>0)%(h>>>0);c[f+4>>2]=0}n=0;f=(l>>>0)/(h>>>0)>>>0;return (z=n,f)|0}else{if(!g){n=0;f=0;return (z=n,f)|0}c[f>>2]=a|0;c[f+4>>2]=b&0;n=0;f=0;return (z=n,f)|0}}g=(i|0)==0;do if(h){if(!g){g=(R(i|0)|0)-(R(k|0)|0)|0;if(g>>>0<=31){m=g+1|0;i=31-g|0;b=g-31>>31;h=m;a=l>>>(m>>>0)&b|k<<i;b=k>>>(m>>>0)&b;g=0;i=l<<i;break}if(!f){n=0;f=0;return (z=n,f)|0}c[f>>2]=a|0;c[f+4>>2]=j|b&0;n=0;f=0;return (z=n,f)|0}g=h-1|0;if(g&h|0){i=(R(h|0)|0)+33-(R(k|0)|0)|0;p=64-i|0;m=32-i|0;j=m>>31;o=i-32|0;b=o>>31;h=i;a=m-1>>31&k>>>(o>>>0)|(k<<m|l>>>(i>>>0))&b;b=b&k>>>(i>>>0);g=l<<p&j;i=(k<<p|l>>>(o>>>0))&j|l<<m&i-33>>31;break}if(f|0){c[f>>2]=g&l;c[f+4>>2]=0}if((h|0)==1){o=j|b&0;p=a|0|0;return (z=o,p)|0}else{p=JN(h|0)|0;o=k>>>(p>>>0)|0;p=k<<32-p|l>>>(p>>>0)|0;return (z=o,p)|0}}else{if(g){if(f|0){c[f>>2]=(k>>>0)%(h>>>0);c[f+4>>2]=0}o=0;p=(k>>>0)/(h>>>0)>>>0;return (z=o,p)|0}if(!l){if(f|0){c[f>>2]=0;c[f+4>>2]=(k>>>0)%(i>>>0)}o=0;p=(k>>>0)/(i>>>0)>>>0;return (z=o,p)|0}g=i-1|0;if(!(g&i)){if(f|0){c[f>>2]=a|0;c[f+4>>2]=g&k|b&0}o=0;p=k>>>((JN(i|0)|0)>>>0);return (z=o,p)|0}g=(R(i|0)|0)-(R(k|0)|0)|0;if(g>>>0<=30){b=g+1|0;i=31-g|0;h=b;a=k<<i|l>>>(b>>>0);b=k>>>(b>>>0);g=0;i=l<<i;break}if(!f){o=0;p=0;return (z=o,p)|0}c[f>>2]=a|0;c[f+4>>2]=j|b&0;o=0;p=0;return (z=o,p)|0}while(0);if(!h){k=i;j=0;i=0}else{m=d|0|0;l=n|e&0;k=HN(m|0,l|0,-1,-1)|0;d=z;j=i;i=0;do{e=j;j=g>>>31|j<<1;g=i|g<<1;e=a<<1|e>>>31|0;n=a>>>31|b<<1|0;IN(k|0,d|0,e|0,n|0)|0;p=z;o=p>>31|((p|0)<0?-1:0)<<1;i=o&1;a=IN(e|0,n|0,o&m|0,(((p|0)<0?-1:0)>>31|((p|0)<0?-1:0)<<1)&l|0)|0;b=z;h=h-1|0}while((h|0)!=0);k=j;j=0}h=0;if(f|0){c[f>>2]=a;c[f+4>>2]=b}o=(g|0)>>>31|(k|h)<<1|(h<<1|g>>>31)&0|j;p=(g<<1|0>>>31)&-2|i;return (z=o,p)|0}function LN(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;return KN(a,b,c,d,0)|0}function MN(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0,g=0;g=l;l=l+16|0;f=g|0;KN(a,b,d,e,f)|0;l=g;return (z=c[f+4>>2]|0,c[f>>2]|0)|0}function NN(a,b,c){a=a|0;b=b|0;c=c|0;if((c|0)<32){z=b>>>c;return a>>>c|(b&(1<<c)-1)<<32-c}z=0;return b>>>c-32|0}function ON(a,b,c){a=a|0;b=b|0;c=c|0;if((c|0)<32){z=b<<c|(a&(1<<c)-1<<32-c)>>>32-c;return a<<c}z=a<<c-32;return 0}function PN(a){a=a|0;return (a&255)<<8|a>>8&255|0}function QN(a){a=a|0;return (a&255)<<24|(a>>8&255)<<16|(a>>16&255)<<8|a>>>24|0}function RN(a,b,d,e){a=a|0;b=b|0;d=d|0;e=e|0;var f=0;q=q+1|0;c[a>>2]=q;while((f|0)<(e|0)){if(!(c[d+(f<<3)>>2]|0)){c[d+(f<<3)>>2]=q;c[d+((f<<3)+4)>>2]=b;c[d+((f<<3)+8)>>2]=0;z=e;return d|0}f=f+1|0}e=e*2|0;d=aJ(d|0,8*(e+1|0)|0)|0;d=RN(a|0,b|0,d|0,e|0)|0;z=e;return d|0}function SN(a,b,d){a=a|0;b=b|0;d=d|0;var e=0,f=0;while((f|0)<(d|0)){e=c[b+(f<<3)>>2]|0;if(!e)break;if((e|0)==(a|0))return c[b+((f<<3)+4)>>2]|0;f=f+1|0}return 0}function TN(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0;if((e|0)>=8192)return La(b|0,d|0,e|0)|0;h=b|0;g=b+e|0;if((b&3)==(d&3)){while(b&3){if(!e)return h|0;a[b>>0]=a[d>>0]|0;b=b+1|0;d=d+1|0;e=e-1|0}e=g&-4|0;f=e-64|0;while((b|0)<=(f|0)){c[b>>2]=c[d>>2];c[b+4>>2]=c[d+4>>2];c[b+8>>2]=c[d+8>>2];c[b+12>>2]=c[d+12>>2];c[b+16>>2]=c[d+16>>2];c[b+20>>2]=c[d+20>>2];c[b+24>>2]=c[d+24>>2];c[b+28>>2]=c[d+28>>2];c[b+32>>2]=c[d+32>>2];c[b+36>>2]=c[d+36>>2];c[b+40>>2]=c[d+40>>2];c[b+44>>2]=c[d+44>>2];c[b+48>>2]=c[d+48>>2];c[b+52>>2]=c[d+52>>2];c[b+56>>2]=c[d+56>>2];c[b+60>>2]=c[d+60>>2];b=b+64|0;d=d+64|0}while((b|0)<(e|0)){c[b>>2]=c[d>>2];b=b+4|0;d=d+4|0}}else{e=g-4|0;while((b|0)<(e|0)){a[b>>0]=a[d>>0]|0;a[b+1>>0]=a[d+1>>0]|0;a[b+2>>0]=a[d+2>>0]|0;a[b+3>>0]=a[d+3>>0]|0;b=b+4|0;d=d+4|0}}while((b|0)<(g|0)){a[b>>0]=a[d>>0]|0;b=b+1|0;d=d+1|0}return h|0}function UN(b,c,d){b=b|0;c=c|0;d=d|0;var e=0;if((c|0)<(b|0)&(b|0)<(c+d|0)){e=b;c=c+d|0;b=b+d|0;while((d|0)>0){b=b-1|0;c=c-1|0;d=d-1|0;a[b>>0]=a[c>>0]|0}b=e}else TN(b,c,d)|0;return b|0}function VN(b,d,e){b=b|0;d=d|0;e=e|0;var f=0,g=0,h=0,i=0;h=b+e|0;d=d&255;if((e|0)>=67){while(b&3){a[b>>0]=d;b=b+1|0}f=h&-4|0;g=f-64|0;i=d|d<<8|d<<16|d<<24;while((b|0)<=(g|0)){c[b>>2]=i;c[b+4>>2]=i;c[b+8>>2]=i;c[b+12>>2]=i;c[b+16>>2]=i;c[b+20>>2]=i;c[b+24>>2]=i;c[b+28>>2]=i;c[b+32>>2]=i;c[b+36>>2]=i;c[b+40>>2]=i;c[b+44>>2]=i;c[b+48>>2]=i;c[b+52>>2]=i;c[b+56>>2]=i;c[b+60>>2]=i;b=b+64|0}while((b|0)<(f|0)){c[b>>2]=i;b=b+4|0}}while((b|0)<(h|0)){a[b>>0]=d;b=b+1|0}return h-e|0}function WN(a){a=a|0;var b=0,d=0;d=c[i>>2]|0;b=d+a|0;if((a|0)>0&(b|0)<(d|0)|(b|0)<0){W()|0;ra(12);return -1}c[i>>2]=b;if((b|0)>(V()|0)?(U()|0)==0:0){c[i>>2]=d;ra(12);return -1}return d|0}function XN(a){a=a|0;return +Ya[a&1]()}function YN(a,b,c,d){a=a|0;b=+b;c=+c;d=+d;return +Za[a&7](+b,+c,+d)}function ZN(a){a=a|0;return _a[a&3]()|0}function _N(a,b){a=a|0;b=b|0;return $a[a&31](b|0)|0}function $N(a,b,c){a=a|0;b=b|0;c=c|0;return ab[a&63](b|0,c|0)|0}function aO(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;return bb[a&31](b|0,c|0,d|0)|0}function bO(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;return cb[a&31](b|0,c|0,d|0,e|0)|0}function cO(a,b,c,d,e,f){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;return db[a&3](b|0,c|0,d|0,e|0,f|0)|0}function dO(a,b,c,d,e,f,g){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;g=g|0;return eb[a&1](b|0,c|0,d|0,e|0,f|0,g|0)|0}function eO(a){a=a|0;fb[a&15]()}function fO(a,b){a=a|0;b=b|0;gb[a&127](b|0)}function gO(a,b,c){a=a|0;b=b|0;c=c|0;hb[a&31](b|0,c|0)}function hO(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;ib[a&127](b|0,c|0,d|0)}function iO(a,b,c,d,e,f,g){a=a|0;b=b|0;c=c|0;d=d|0;e=+e;f=+f;g=g|0;jb[a&15](b|0,c|0,d|0,+e,+f,g|0)}function jO(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;kb[a&31](b|0,c|0,d|0,e|0)}function kO(a,b,c,d,e,f){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;lb[a&7](b|0,c|0,d|0,e|0,f|0)}function lO(a,b,c,d,e,f,g){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;g=g|0;mb[a&15](b|0,c|0,d|0,e|0,f|0,g|0)}function mO(){S(0);return 0.0}function nO(a,b,c){a=+a;b=+b;c=+c;S(1);return 0.0}function oO(){S(2);return 0}function pO(a){a=a|0;S(3);return 0}function qO(a,b){a=a|0;b=b|0;S(4);return 0}function rO(a,b,c){a=a|0;b=b|0;c=c|0;S(5);return 0}function sO(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;S(6);return 0}function tO(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;S(7);return 0}function uO(a,b,c,d,e,f){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;S(8);return 0}function vO(){S(9)}function wO(a){a=a|0;S(10)}function xO(a,b){a=a|0;b=b|0;S(11)}function yO(a,b,c){a=a|0;b=b|0;c=c|0;S(12)}function zO(a,b,c,d,e,f){a=a|0;b=b|0;c=c|0;d=+d;e=+e;f=f|0;S(13)}function AO(a,b,c,d){a=a|0;b=b|0;c=c|0;d=d|0;S(14)}function BO(a,b,c,d,e){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;S(15)}function CO(a,b,c,d,e,f){a=a|0;b=b|0;c=c|0;d=d|0;e=e|0;f=f|0;S(16)}\n\n// EMSCRIPTEN_END_FUNCS\nvar Ya=[mO,yA];var Za=[nO,Uu,Tu,Vu,Wu,nO,nO,nO];var _a=[oO,Fw,wx,oO];var $a=[pO,Rg,kg,Rn,Un,$B,aC,RD,SD,TD,UD,VD,WD,XD,YD,fJ,ub,or,ll,ol,Bw,Gw,nn,ww,co,NB,vw,SB,TB,NI,pO,pO];var ab=[qO,tn,Qn,Vn,yz,zz,qz,mz,Wy,mr,ag,Qg,rh,Vh,li,wk,uk,ml,pl,zq,yq,xq,Ds,Ts,Os,Ps,Ot,WL,CN,sA,uB,Im,wG,Pm,Rm,eo,OB,xJ,XE,JI,KI,nN,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO,qO];var bb=[rO,Pl,Vl,Pn,Tn,gG,gJ,hJ,lJ,mJ,$K,_l,Xl,zL,uA,Ex,$C,GI,eM,rO,rO,rO,rO,rO,rO,rO,rO,rO,rO,rO,rO,rO];var cb=[sO,Nm,Np,Om,fn,vn,xn,In,Hn,Wn,_n,ao,yx,CC,AC,wE,iG,EG,DG,Ml,wA,sO,sO,sO,sO,sO,sO,sO,sO,sO,sO,sO];var db=[tO,un,Xy,rz];var eb=[uO,kI];var fb=[vO,xA,Cw,Dw,Ew,Iw,Jw,Kw,mG,vO,vO,vO,vO,vO,vO,vO];var gb=[wO,zb,Ab,Eb,Fb,Gb,_b,$b,xc,yc,zc,Ac,Bc,Cc,Dc,Pc,Qc,Tc,Uc,Vc,Wc,Xc,Yc,Zc,jd,kd,ld,nd,od,pd,qd,rd,sd,td,ud,Fd,Gd,Hd,Jd,Kd,Ld,Md,Nd,Od,Pd,Qd,Rd,Td,ee,fe,ge,he,se,te,ue,we,Je,Ke,Le,Ne,Oe,Pe,Qe,Re,Se,Te,Ue,Ve,cf,df,ef,ff,Jf,Ef,yn,Cy,Uy,Ey,Dy,oz,ay,dy,ZD,cE,xf,ql,lm,lG,UC,VB,zx,_I,FG,jI,EI,FI,LI,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO,wO];var hb=[xO,Fc,Kc,$c,ed,Bd,Zd,ne,Ce,$e,mf,Xn,Yy,Az,sz,nz,Sy,Ty,wz,xz,aE,eE,bm,rs,Hw,MB,iI,HI,II,MI,OI,xO];var ib=[yO,Hb,Ib,Lb,wc,Ec,Gc,Jc,_c,ad,dd,wd,xd,Ad,Ud,Vd,Yd,ie,je,me,xe,ye,Be,We,Xe,_e,gf,hf,lf,bk,ck,dk,im,zn,$n,Jo,Op,js,Ev,xx,cy,mB,BC,zC,_D,$D,bE,dE,fE,hG,WH,VH,Bm,bn,oo,Ro,Uo,Aw,vA,Cx,QB,UB,XH,ZH,_H,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO,yO];var jb=[zO,Ft,Gt,Ht,It,Jt,Kt,Lt,Mt,zO,zO,zO,zO,zO,zO,zO];var kb=[AO,Jb,Hc,bd,md,yd,Id,Wd,ke,ze,Me,Ye,jf,Af,zf,yf,wf,vf,uf,Zb,tf,sf,wn,Vy,pz,rL,PB,RB,AO,AO,AO,AO];var lb=[BO,Rc,vd,Cd,Sd,ve,nl,WB];var mb=[CO,Kb,Ic,cd,zd,Xd,le,Ae,Ze,kf,XB,CO,CO,CO,CO,CO];return{___errno_location:jJ,___muldi3:GN,___udivdi3:LN,___uremdi3:MN,_bitshift64Lshr:NN,_bitshift64Shl:ON,_dtdisc:Ll,_dtextract:Nl,_dtopen:Ql,_free:_I,_htons:eL,_i64Add:HN,_i64Subtract:IN,_llvm_bswap_i16:PN,_llvm_bswap_i32:QN,_malloc:ZI,_memalign:dJ,_memcpy:TN,_memmove:UN,_memset:VN,_realloc:aJ,_saveSetjmp:RN,_sbrk:WN,_testSetjmp:SN,_vizCreateFile:wb,_vizLastErrorMessage:vb,_vizRenderFromString:yb,_vizSetY_invert:xb,dynCall_d:XN,dynCall_dddd:YN,dynCall_i:ZN,dynCall_ii:_N,dynCall_iii:$N,dynCall_iiii:aO,dynCall_iiiii:bO,dynCall_iiiiii:cO,dynCall_iiiiiii:dO,dynCall_v:eO,dynCall_vi:fO,dynCall_vii:gO,dynCall_viii:hO,dynCall_viiiddi:iO,dynCall_viiii:jO,dynCall_viiiii:kO,dynCall_viiiiii:lO,establishStackSpace:qb,getTempRet0:tb,runPostSets:EN,setTempRet0:sb,setThrew:rb,stackAlloc:nb,stackRestore:pb,stackSave:ob}})\n\n\n// EMSCRIPTEN_END_ASM\n(Module.asmGlobalArg,Module.asmLibraryArg,buffer);var ___errno_location=Module[\"___errno_location\"]=asm[\"___errno_location\"];var ___muldi3=Module[\"___muldi3\"]=asm[\"___muldi3\"];var ___udivdi3=Module[\"___udivdi3\"]=asm[\"___udivdi3\"];var ___uremdi3=Module[\"___uremdi3\"]=asm[\"___uremdi3\"];var _bitshift64Lshr=Module[\"_bitshift64Lshr\"]=asm[\"_bitshift64Lshr\"];var _bitshift64Shl=Module[\"_bitshift64Shl\"]=asm[\"_bitshift64Shl\"];var _dtdisc=Module[\"_dtdisc\"]=asm[\"_dtdisc\"];var _dtextract=Module[\"_dtextract\"]=asm[\"_dtextract\"];var _dtopen=Module[\"_dtopen\"]=asm[\"_dtopen\"];var _free=Module[\"_free\"]=asm[\"_free\"];var _htons=Module[\"_htons\"]=asm[\"_htons\"];var _i64Add=Module[\"_i64Add\"]=asm[\"_i64Add\"];var _i64Subtract=Module[\"_i64Subtract\"]=asm[\"_i64Subtract\"];var _llvm_bswap_i16=Module[\"_llvm_bswap_i16\"]=asm[\"_llvm_bswap_i16\"];var _llvm_bswap_i32=Module[\"_llvm_bswap_i32\"]=asm[\"_llvm_bswap_i32\"];var _malloc=Module[\"_malloc\"]=asm[\"_malloc\"];var _memalign=Module[\"_memalign\"]=asm[\"_memalign\"];var _memcpy=Module[\"_memcpy\"]=asm[\"_memcpy\"];var _memmove=Module[\"_memmove\"]=asm[\"_memmove\"];var _memset=Module[\"_memset\"]=asm[\"_memset\"];var _realloc=Module[\"_realloc\"]=asm[\"_realloc\"];var _saveSetjmp=Module[\"_saveSetjmp\"]=asm[\"_saveSetjmp\"];var _sbrk=Module[\"_sbrk\"]=asm[\"_sbrk\"];var _testSetjmp=Module[\"_testSetjmp\"]=asm[\"_testSetjmp\"];var _vizCreateFile=Module[\"_vizCreateFile\"]=asm[\"_vizCreateFile\"];var _vizLastErrorMessage=Module[\"_vizLastErrorMessage\"]=asm[\"_vizLastErrorMessage\"];var _vizRenderFromString=Module[\"_vizRenderFromString\"]=asm[\"_vizRenderFromString\"];var _vizSetY_invert=Module[\"_vizSetY_invert\"]=asm[\"_vizSetY_invert\"];var establishStackSpace=Module[\"establishStackSpace\"]=asm[\"establishStackSpace\"];var getTempRet0=Module[\"getTempRet0\"]=asm[\"getTempRet0\"];var runPostSets=Module[\"runPostSets\"]=asm[\"runPostSets\"];var setTempRet0=Module[\"setTempRet0\"]=asm[\"setTempRet0\"];var setThrew=Module[\"setThrew\"]=asm[\"setThrew\"];var stackAlloc=Module[\"stackAlloc\"]=asm[\"stackAlloc\"];var stackRestore=Module[\"stackRestore\"]=asm[\"stackRestore\"];var stackSave=Module[\"stackSave\"]=asm[\"stackSave\"];var dynCall_d=Module[\"dynCall_d\"]=asm[\"dynCall_d\"];var dynCall_dddd=Module[\"dynCall_dddd\"]=asm[\"dynCall_dddd\"];var dynCall_i=Module[\"dynCall_i\"]=asm[\"dynCall_i\"];var dynCall_ii=Module[\"dynCall_ii\"]=asm[\"dynCall_ii\"];var dynCall_iii=Module[\"dynCall_iii\"]=asm[\"dynCall_iii\"];var dynCall_iiii=Module[\"dynCall_iiii\"]=asm[\"dynCall_iiii\"];var dynCall_iiiii=Module[\"dynCall_iiiii\"]=asm[\"dynCall_iiiii\"];var dynCall_iiiiii=Module[\"dynCall_iiiiii\"]=asm[\"dynCall_iiiiii\"];var dynCall_iiiiiii=Module[\"dynCall_iiiiiii\"]=asm[\"dynCall_iiiiiii\"];var dynCall_v=Module[\"dynCall_v\"]=asm[\"dynCall_v\"];var dynCall_vi=Module[\"dynCall_vi\"]=asm[\"dynCall_vi\"];var dynCall_vii=Module[\"dynCall_vii\"]=asm[\"dynCall_vii\"];var dynCall_viii=Module[\"dynCall_viii\"]=asm[\"dynCall_viii\"];var dynCall_viiiddi=Module[\"dynCall_viiiddi\"]=asm[\"dynCall_viiiddi\"];var dynCall_viiii=Module[\"dynCall_viiii\"]=asm[\"dynCall_viiii\"];var dynCall_viiiii=Module[\"dynCall_viiiii\"]=asm[\"dynCall_viiiii\"];var dynCall_viiiiii=Module[\"dynCall_viiiiii\"]=asm[\"dynCall_viiiiii\"];Module[\"asm\"]=asm;Module[\"ccall\"]=ccall;Module[\"Pointer_stringify\"]=Pointer_stringify;Module[\"UTF8ToString\"]=UTF8ToString;if(memoryInitializer){if(!isDataURI(memoryInitializer)){if(typeof Module[\"locateFile\"]===\"function\"){memoryInitializer=Module[\"locateFile\"](memoryInitializer)}else if(Module[\"memoryInitializerPrefixURL\"]){memoryInitializer=Module[\"memoryInitializerPrefixURL\"]+memoryInitializer}}if(ENVIRONMENT_IS_NODE||ENVIRONMENT_IS_SHELL){var data=Module[\"readBinary\"](memoryInitializer);HEAPU8.set(data,GLOBAL_BASE)}else{addRunDependency(\"memory initializer\");var applyMemoryInitializer=(function(data){if(data.byteLength)data=new Uint8Array(data);HEAPU8.set(data,GLOBAL_BASE);if(Module[\"memoryInitializerRequest\"])delete Module[\"memoryInitializerRequest\"].response;removeRunDependency(\"memory initializer\")});function doBrowserLoad(){Module[\"readAsync\"](memoryInitializer,applyMemoryInitializer,(function(){throw\"could not load memory initializer \"+memoryInitializer}))}var memoryInitializerBytes=tryParseAsDataURI(memoryInitializer);if(memoryInitializerBytes){applyMemoryInitializer(memoryInitializerBytes.buffer)}else if(Module[\"memoryInitializerRequest\"]){function useRequest(){var request=Module[\"memoryInitializerRequest\"];var response=request.response;if(request.status!==200&&request.status!==0){var data=tryParseAsDataURI(Module[\"memoryInitializerRequestURL\"]);if(data){response=data.buffer}else{console.warn(\"a problem seems to have happened with Module.memoryInitializerRequest, status: \"+request.status+\", retrying \"+memoryInitializer);doBrowserLoad();return}}applyMemoryInitializer(response)}if(Module[\"memoryInitializerRequest\"].response){setTimeout(useRequest,0)}else{Module[\"memoryInitializerRequest\"].addEventListener(\"load\",useRequest)}}else{doBrowserLoad()}}}function ExitStatus(status){this.name=\"ExitStatus\";this.message=\"Program terminated with exit(\"+status+\")\";this.status=status}ExitStatus.prototype=new Error;ExitStatus.prototype.constructor=ExitStatus;var initialStackTop;dependenciesFulfilled=function runCaller(){if(!Module[\"calledRun\"])run();if(!Module[\"calledRun\"])dependenciesFulfilled=runCaller};function run(args){args=args||Module[\"arguments\"];if(runDependencies>0){return}preRun();if(runDependencies>0)return;if(Module[\"calledRun\"])return;function doRun(){if(Module[\"calledRun\"])return;Module[\"calledRun\"]=true;if(ABORT)return;ensureInitRuntime();preMain();if(Module[\"onRuntimeInitialized\"])Module[\"onRuntimeInitialized\"]();postRun()}if(Module[\"setStatus\"]){Module[\"setStatus\"](\"Running...\");setTimeout((function(){setTimeout((function(){Module[\"setStatus\"](\"\")}),1);doRun()}),1)}else{doRun()}}Module[\"run\"]=run;function exit(status,implicit){if(implicit&&Module[\"noExitRuntime\"]&&status===0){return}if(Module[\"noExitRuntime\"]){}else{ABORT=true;EXITSTATUS=status;STACKTOP=initialStackTop;exitRuntime();if(Module[\"onExit\"])Module[\"onExit\"](status)}if(ENVIRONMENT_IS_NODE){process[\"exit\"](status)}Module[\"quit\"](status,new ExitStatus(status))}Module[\"exit\"]=exit;function abort(what){if(Module[\"onAbort\"]){Module[\"onAbort\"](what)}if(what!==undefined){Module.print(what);Module.printErr(what);what=JSON.stringify(what)}else{what=\"\"}ABORT=true;EXITSTATUS=1;throw\"abort(\"+what+\"). Build with -s ASSERTIONS=1 for more info.\"}Module[\"abort\"]=abort;if(Module[\"preInit\"]){if(typeof Module[\"preInit\"]==\"function\")Module[\"preInit\"]=[Module[\"preInit\"]];while(Module[\"preInit\"].length>0){Module[\"preInit\"].pop()()}}Module[\"noExitRuntime\"]=true;run()\n\n\n\n\n  return Module;\n};\n\nfunction render(instance, src, options) {\n  var i;\n  for (i = 0; i < options.files.length; i++) {\n    instance['ccall']('vizCreateFile', 'number', ['string', 'string'], [options.files[i].path, options.files[i].data]);\n  }\n\n  instance['ccall']('vizSetY_invert', 'number', ['number'], [options.yInvert ? 1 : 0]);\n  \n  var resultPointer = instance['ccall']('vizRenderFromString', 'number', ['string', 'string', 'string'], [src, options.format, options.engine]);\n  var resultString = instance['Pointer_stringify'](resultPointer);\n  instance['ccall']('free', 'number', ['number'], [resultPointer]);\n\n  var errorMessagePointer = instance['ccall']('vizLastErrorMessage', 'number', [], []);\n  var errorMessageString = instance['Pointer_stringify'](errorMessagePointer);\n  instance['ccall']('free', 'number', ['number'], [errorMessagePointer]);\n\n  if (errorMessageString != '') {\n    throw new Error(errorMessageString);\n  }\n  \n  return resultString;\n}\n\nif (typeof importScripts === \"function\") {\n  var instance = Module();\n  \n  onmessage = function(event) {\n    var id = event.data.id;\n    var src = event.data.src;\n    var options = event.data.options;\n  \n    try {\n      var result = render(instance, src, options);\n      postMessage({ id: id, result: result });\n    } catch (error) {\n      postMessage({ id: id, error: { message: error.message, fileName: error.fileName, lineNumber: error.lineNumber } });\n    }\n  }\n}\n\nif (typeof exports === 'object' && typeof module !== 'undefined') {\n  module.exports = { render: render, Module: Module };\n} else if (typeof define === 'function' && define.amd) {\n  define(function() { return { render: render, Module: Module }; });\n}\n\nif (typeof global.Viz !== 'undefined') {\n  global.Viz.render = render;\n  global.Viz.Module = Module;\n}\n\n})(typeof self !== 'undefined' ? self : this);\n",
            "type": "application/javascript",
            "title": "$:/plugins/chanilino/viz/lite.render.js",
            "module-type": "library",
            "modifier": "chan",
            "modified": "20180705095419090",
            "creator": "chan",
            "created": "20180705095327496"
        }
    }
}

.matched {background-color:#ffc;}
.tw-context {
  border:0px solid #eee;background-color:#eee;
  word-break: break-all; word-wrap: break-word;}

{
    "tiddlers": {
        "$:/plugins/danielo515/ContextPlugin/widgets/context.js": {
            "created": "20140418153435777",
            "creator": "danielo",
            "modified": "20140530231943517",
            "modifier": "danielo",
            "module-type": "widget",
            "title": "$:/plugins/danielo515/ContextPlugin/widgets/context.js",
            "type": "application/javascript",
            "text": "/*\\\\\ntitle: $:/core/modules/widgets/danielo/context-widget.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-text widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar contextWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\ncontextWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\ncontextWidget.prototype.render = function(parent,nextSibling) {\n   // Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n    \n  if(this.term && this.term.length>3){\n     \n      this.createRegexp();\n      var matches = this.executeRegexp();\n\t  if(matches.length > 0){ \n        this.domNode = this.document.createElement(this.element);\n        this.domNode.className=\"tw-context\";\n        this.composeResults( matches ); //this appends to domNode        \n      \t// Insert element\n      \tparent.insertBefore(this.domNode,nextSibling);\n      \tthis.renderChildren(this.domNode,null);\n\t  \tthis.domNodes.push(this.domNode);\n      }\n  }\n\t\n};\n\n/*\nCompute the internal state of the widget\n*/\ncontextWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n    this.matchedClass = this.getAttribute(\"matchClass\",\"matched\");\n\tthis.tiddler = this.getAttribute( \"tiddler\",this.getVariable(\"currentTiddler\") );\n    this.term =  this.getAttribute(\"term\",this.getAttribute(\"searchTerm\"));\n\tthis.contextLength = this.getAttribute(\"length\",50);\n    this.before = this.getAttribute(\"before\",this.contextLength);\n    this.after = this.getAttribute(\"after\",this.contextLength);\n    this.maxMatches = this.getAttribute(\"maxMatches\",10);\n    this.element = this.getAttribute(\"element\",\"pre\");\n\tthis.makeChildWidgets();\n};\n\n  /*Create the regular expression*/\ncontextWidget.prototype.createRegexp = function()\n{\n  var regString = \"(\\\\w+[\\\\s\\\\S]{0,#before#})?(#term#)([\\\\s\\\\S]{0,#after#}\\\\w+)?\";\n\n  var regString = regString.replace(\"#before#\",this.before).replace(\"#term#\", $tw.utils.escapeRegExp(this.term) ) .replace(\"#after#\",this.after);\n  this.regexp = new RegExp(regString,\"ig\");\n  //console.log(regString);\n};\n/*\nexecute the regular expresion\n*/\ncontextWidget.prototype.executeRegexp = function()\n{\n  var text = this.wiki.getTiddlerText(this.tiddler), match,results = new Array();\n  while( (match = this.regexp.exec( text ) ) && (results.length < this.maxMatches) )\n      { results.push(match) }\n  //console.log(\"matches\",results);\n  return results;\n};\n\n/*\ncompose the results\nmatches : array of match objects from regular expression execute\n*/\ncontextWidget.prototype.composeResults = function(matches){\n var result=[], self=this, node = this.domNode,\n dots = textNode(\"...\\n\"),\n span = matchedNode( this.term );\n\n  for(var i=0; i < matches.length; i++){\n   processMatch( matches[i] );\n }\n  \n  function processMatch(match){\n    if( match.index !== 0) node.appendChild( dots.cloneNode(true) );\n    for( var i=1;i<match.length;i++ ) {//match[0] full matched text (all groups together)\n      if( match[i] ) {\n        if ( match[i].toLowerCase() == self.term.toLowerCase() ) \n          node.appendChild( match[i] == self.term ? span.cloneNode(true) : matchedNode( match[i] ) )\n          else\n            node.appendChild( textNode( match[i]) )\n      }\n    }\n    if( match.index + match[0].length < match.input.length) node.appendChild( dots.cloneNode(true) );\n  }\n  \n  function textNode(text){ return self.document.createTextNode(text) }\n  function matchedNode(text) { \n    var node = self.document.createElement(\"span\"); node.appendChild( textNode(text) );  node.className = self.matchedClass;\n    return node }\n  \n};\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\ncontextWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.term || changedAttributes.length || changedAttributes.matchedClass) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n    return this.refreshChildren(changedTiddlers);\n};\n\nexports.context = contextWidget;\n\n})();"
        },
        "$:/plugins/danielo515/ContextPlugin/visualizer": {
            "title": "$:/plugins/danielo515/ContextPlugin/visualizer",
            "tags": "$:/tags/SearchResults",
            "caption": "Context",
            "text": "<$list filter=\"[!is[system]search{$:/temp/search}sort[title]limit[250]]\">\r\n  {{!!title||$:/core/ui/ListItemTemplate}}\r\n  <$context term={{$:/temp/search}} />\r\n</$list>\r\n"
        },
        "$:/plugins/danielo515/ContextPlugin/Stylesheet/results": {
            "created": "20140529162823729",
            "tags": "$:/tags/Stylesheet contextPlugin",
            "title": "$:/plugins/danielo515/ContextPlugin/Stylesheet/results",
            "type": "text/css",
            "text": ".matched{background-color:yellow}\n.tw-context {/*border:1px solid;\n  /*word-break: break-all; word-wrap: break-word*/}"
        },
        "$:/plugins/danielo515/ContextPlugin/Caption": {
            "created": "20140530174219263",
            "tags": "contextPlugin",
            "title": "$:/plugins/danielo515/ContextPlugin/Caption",
            "type": "text/vnd.tiddlywiki",
            "text": "Context search"
        },
        "Context Search": {
            "caption": "{{$:/plugins/danielo515/ContextPlugin/Caption}}",
            "created": "20140530173407542",
            "tags": "$:/tags/AdvancedSearch",
            "title": "Context Search",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo Standard/Hint>>\n\n<div class=\"tw-search\"><$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\"/><$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\"> <$link to=\"\" class=\"btn-invisible\">{{$:/core/images/close-button}}</$link></$reveal></div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<div class=\"tw-search-results\">\n\n<<lingo Standard/Matches>>\n\n<$list filter=\"[!is[system]search{$:/temp/advancedsearch}sort[title]limit[250]]\">\n{{!!title||$:/core/ui/ListItemTemplate}}\n<$context term={{$:/temp/advancedsearch}}/>\n</$list>\n\n</div>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
        },
        "$:/plugins/danielo515/ContextPlugin/readme": {
            "title": "$:/plugins/danielo515/ContextPlugin/readme",
            "text": "!Usage\n\nAfter installing the plugin you will have a new tab in [[$:/AdvancedSearch]] called [[Context Search]]. If you want this functionality in other places you will have to edit the desired tiddler yourself adding the ''context widget''. For more details about using the widget see the section below.\n\n!!Using the widget\n\nThe very basic usage of the widget is the following:\n\n```\r\n<$context term=\"lorem\"/>\r\n```\r\nWhich will render as:\r\n<$context term=\"lorem\"/>\n\nThe widgets will search inside the current tiddler by default. Because that you see the same content twice here. This example is not very useful. Other more meaningful would be:\n\n```\r\n<$list filter=\"[search{$:/temp/advancedsearch}sort[title]limit[250]]\">\r\n{{!!title||$:/core/ui/ListItemTemplate}}\r\n<$context term={{$:/temp/advancedsearch}}/>\r\n</$list>\r\n```\n\nThat will search for tiddlers containing the text specified in [[$:/temp/advancedsearch]] and will display a link to the matching tiddlers plus a preview of the matching content. Something very similar is used in [[Context Search]]. Below you can find a complete list of parameters and their default values.\n\n|! parameter |! description | !default |\r\n| term | The term you want to search ||\r\n| searchTerm | An alias for the previous one ||\r\n| tiddler | The tiddler's name to look into | current tiddler |\r\n| length | Number of context characters to show | 50 |\r\n| before | Number of characters before the matched term to show | the value of the length parameter |\r\n| after | Number of characters after the matched term to show | the value of the length parameter |\r\n| maxMatches | maximun number of matched elements to show. Incrementing this can cause several performance issues | 10 |\r\n| element | Node element to create. This element will contain the results of the search. If you want to style it its class is `tw-context` | `<pre>` |\r\n| matchClass | The css class to assign to the matched terms in the results. This is used to highlight the results | matched |\n\n!Customizing the output\r\nThere are not many ways to customize the output of this widget. You can specify ''what type of node you want to create'' to wrap the results (div,span...). The default is `<pre>`. This container is created with the class `tw-context` so you can easily apply styles to it. Something similar happens to the ''highlighted'' words. You can specify the name of the class to assign to it and also you can apply styles to that class.\n\nA very basic example of customization could be:\n\n# Create a tiddler, for example [[$/plugins/danielo515/context/css]]\r\n# Paste the following text or any css rule you want: \"\"\"\n\n<pre>\r\n.matched{background-color:yellow}\r\n.tw-context {\r\n  border:1px solid blue;\r\n  word-break: break-all; word-wrap: break-word;}\r\n</pre>\r\n\"\"\"\r\n# Tag it with `$:/tags/stylesheet`\r\n# Save the tiddler"
        }
    }
}

Context search

/*\\
title: $:/core/modules/widgets/danielo/context-widget.js
type: application/javascript
module-type: widget

Edit-text widget

\*/
(function(){

/*jslint node: true, browser: true */
/*global $tc: false */
"use strict";

var Widget = require("$:/core/modules/widgets/widget.js").widget;
var contextWidget = function(parseTreeNode,options) {
	this.initialise(parseTreeNode,options);
};

/*
Inherit from the base widget class
*/
contextWidget.prototype = new Widget();

/*
Render this widget into the DOM
*/
contextWidget.prototype.render = function(parent,nextSibling) {
   // Save the parent dom node
	this.parentDomNode = parent;
	// Compute our attributes
	this.computeAttributes();
	// Execute our logic
	this.execute();
    
  if(this.term && this.term.length>3){
     
      this.createRegexp();
      var matches = this.executeRegexp();
	  if(matches.length > 0){ 
        this.domNode = this.document.createElement(this.element);
        this.domNode.className="tw-context";
        this.composeResults( matches ); //this appends to domNode        
      	// Insert element
      	parent.insertBefore(this.domNode,nextSibling);
      	this.renderChildren(this.domNode,null);
	  	this.domNodes.push(this.domNode);
      }
  }
	
};

/*
Compute the internal state of the widget
*/
contextWidget.prototype.execute = function() {
	// Get the parameters from the attributes
    this.matchedClass = this.getAttribute("matchClass","matched");
	this.tiddler = this.getAttribute( "tiddler",this.getVariable("currentTiddler") );
    this.term =  this.getAttribute("term",this.getAttribute("searchTerm"));
	this.contextLength = this.getAttribute("length",50);
    this.before = this.getAttribute("before",this.contextLength);
    this.after = this.getAttribute("after",this.contextLength);
    this.maxMatches = this.getAttribute("maxMatches",10);
    this.element = this.getAttribute("element","pre");
	this.makeChildWidgets();
};

  /*Create the regular expression*/
contextWidget.prototype.createRegexp = function()
{
  var regString = "(\\w+[\\s\\S]{0,#before#})?(#term#)([\\s\\S]{0,#after#}\\w+)?";

  var regString = regString.replace("#before#",this.before).replace("#term#", $tw.utils.escapeRegExp(this.term) ) .replace("#after#",this.after);
  this.regexp = new RegExp(regString,"ig");
  //console.log(regString);
};
/*
execute the regular expresion
*/
contextWidget.prototype.executeRegexp = function()
{
  var text = this.wiki.getTiddlerText(this.tiddler), match,results = new Array();
  while( (match = this.regexp.exec( text ) ) && (results.length < this.maxMatches) )
      { results.push(match) }
  //console.log("matches",results);
  return results;
};

/*
compose the results
matches : array of match objects from regular expression execute
*/
contextWidget.prototype.composeResults = function(matches){
 var result=[], self=this, node = this.domNode,
 dots = textNode("...\n"),
 span = matchedNode( this.term );

  for(var i=0; i < matches.length; i++){
   processMatch( matches[i] );
 }
  
  function processMatch(match){
    if( match.index !== 0) node.appendChild( dots.cloneNode(true) );
    for( var i=1;i<match.length;i++ ) {//match[0] full matched text (all groups together)
      if( match[i] ) {
        if ( match[i].toLowerCase() == self.term.toLowerCase() ) 
          node.appendChild( match[i] == self.term ? span.cloneNode(true) : matchedNode( match[i] ) )
          else
            node.appendChild( textNode( match[i]) )
      }
    }
    if( match.index + match[0].length < match.input.length) node.appendChild( dots.cloneNode(true) );
  }
  
  function textNode(text){ return self.document.createTextNode(text) }
  function matchedNode(text) { 
    var node = self.document.createElement("span"); node.appendChild( textNode(text) );  node.className = self.matchedClass;
    return node }
  
};
/*
Selectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering
*/
contextWidget.prototype.refresh = function(changedTiddlers) {
	var changedAttributes = this.computeAttributes();
	if(changedAttributes.tiddler || changedAttributes.term || changedAttributes.length || changedAttributes.matchedClass) {
		this.refreshSelf();
		return true;
	}
    return this.refreshChildren(changedTiddlers);
};

exports.context = contextWidget;

})();

{
    "tiddlers": {
        "$:/plugins/felixhayashi/hotzone/config.js": {
            "title": "$:/plugins/felixhayashi/hotzone/config.js",
            "text": "/*\\\n\ntitle: $:/plugins/felixhayashi/hotzone/config.js\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n(function(){\"use strict\";exports.config={classNames:{storyRiver:\"tc-story-river\",tiddlerFrame:\"tc-tiddler-frame\",tiddlerTitle:\"tc-title\"},references:{userConfig:\"$:/config/hotzone/focusOffset\",focussedTiddlerStore:\"$:/temp/focussedTiddler\"},checkbackTime:$tw.utils.getAnimationDuration()}})();",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/hotzone/hotzone.js": {
            "title": "$:/plugins/felixhayashi/hotzone/hotzone.js",
            "text": "/*\\\n\ntitle: $:/plugins/felixhayashi/hotzone/hotzone.js\ntype: application/javascript\nmodule-type: startup\n\n@preserve\n\n\\*/\n(function(){\"use strict\";exports.name=\"hotzone\";exports.platforms=[\"browser\"];exports.after=[\"story\"];exports.synchronous=true;exports.startup=function(){var t=require(\"$:/plugins/felixhayashi/hotzone/config.js\").config;var e=null;var i=false;var r=document.getElementsByClassName(t.classNames.storyRiver)[0];var s=$tw.wiki.getTiddlerData(t.references.userConfig,{});var a=isNaN(parseInt(s.focusOffset))?150:parseInt(s.focusOffset);var n=function(e,i,r){if(!(e instanceof Element))return;if(!$tw.utils.hasClass(e,t.classNames.tiddlerFrame))return;var s=e.getElementsByClassName(t.classNames.tiddlerTitle)[0];if(s){var a=s.innerText||s.textContent;return a.trim()}};var o=function(t){if(!i){i=true;window.setTimeout(f,t||0)}};var l=function(e,i){$tw.wiki.addTiddler(new $tw.Tiddler({title:t.references.focussedTiddlerStore,text:e},$tw.wiki.getModificationFields()));if(i){var r=document.getElementsByClassName(\"hzone-focus\")[0];if(r){$tw.utils.removeClass(r,\"hzone-focus\")}$tw.utils.addClass(i,\"hzone-focus\")}};var f=function(){i=false;var s=$tw.wiki.getTiddler(\"$:/StoryList\");if(s&&s.fields.list.length){var o=null;var f=Number.MAX_VALUE;var d=r.children;var u=t.classNames.tiddlerFrame;for(var c=d.length;c--;){if($tw.utils.hasClass(d[c],u)){var v=d[c].getBoundingClientRect();var w=Math.min(Math.abs(a-v.top),Math.abs(a-v.bottom));if(w<f){o=d[c];f=w}}}var m=n(o);if(m!==e&&$tw.wiki.getTiddler(m)){e=m;l(e,o);return}}else if(e){e=\"\";l(e)}};var d=function(t){if(t[\"$:/HistoryList\"]){if(!$tw.wiki.tiddlerExists(\"$:/HistoryList\"))return;var e=$tw.wiki.getTiddler(\"$:/HistoryList\").fields[\"current-tiddler\"];var i=$tw.wiki.getTiddlerList(\"$:/StoryList\");var r=i.indexOf(e)>=0;if(!r)return;o($tw.utils.getAnimationDuration()+100)}else if(t[\"$:/StoryList\"]){o($tw.utils.getAnimationDuration()+100)}};var u=function(t){o(250)};$tw.wiki.addEventListener(\"change\",d);window.addEventListener(\"scroll\",u,false);u()}})();",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/plugins/felixhayashi/hotzone/Configuration": {
            "title": "$:/plugins/felixhayashi/hotzone/Configuration",
            "text": "Please see the [[GitHub page|https://github.com/felixhayashi/TW5-HotZone]] for more information on the options.\n\nSave and reload the wiki to activate changes.\n\n<table>\n  <tr>\n    <th align=\"left\">Focus offset:</th>\n    <td><$edit-text tiddler=\"$:/config/hotzone/focusOffset\" tag=\"input\" default=\"71px\" /></td>\n  </tr>\n</table>"
        },
        "$:/temp/focussedTiddler": {
            "title": "$:/temp/focussedTiddler"
        },
        "$:/plugins/felixhayashi/hotzone/License": {
            "title": "$:/plugins/felixhayashi/hotzone/License",
            "text": "This code is released under the BSD license. For the exact terms visit:\n\nhttps://github.com/felixhayashi/TW5-HotZone/blob/master/LICENSE"
        },
        "$:/plugins/felixhayashi/hotzone/Readme": {
            "title": "$:/plugins/felixhayashi/hotzone/Readme",
            "text": "Please visit the [[GitHub page|https://github.com/felixhayashi/TW5-HotZone]] for more information."
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/felixhayashi/tiddlymap/layout": {
            "text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline \n\nbody .tc-page-container-wrapper.tc-modal-displayed{-webkit-filter:inherit;-moz-filter:inherit;filter:inherit}body .tc-modal-wrapper{z-index:1010}body .tc-modal-wrapper .tc-modal-header svg{vertical-align:sub}body .tc-modal-wrapper .tc-modal-header h3{line-height:10px}body .tc-modal-wrapper .tc-modal-body{min-height:250px;max-height:70vh;padding-top:0px;padding-bottom:0px;overflow:auto}body .tc-modal-wrapper .tc-modal-footer{padding:8px}body .tc-modal-wrapper .tc-modal-footer .tmap-dialog-button{font-weight:bold}body .tc-modal-wrapper .tc-modal-footer .tmap-hidden-close-button{display:none}table.tmap-table tr:nth-child(odd),.tc-modal-body table.tmap-config-table tr:nth-child(odd){background-color:#F0F0F0}table.tmap-table tr:nth-child(even),.tc-modal-body table.tmap-config-table tr:nth-child(even){background-color:#FFFFFF}.tmap-save-canvas-preview{text-align:center;background:lightgray}.tmap-save-canvas-preview img{background-color:white;max-width:100%;max-height:100px;border:1px solid red}.tmap-list-separator{display:block;background-color:#efefef;margin:10px 0 5px 0;cursor:default;border-bottom:1px dotted gray;font-weight:bold;font-size:0.8em}.tmap-unicode-icon{width:1em;display:inline-block;text-align:center;color:black}html .tmap-link{color:#5778D8}html .tmap-link:hover{color:white;background:#5778D8}html .tmap-small-list,html .tmap-smaller-list,html .tmap-very-small-list{overflow:auto;min-height:2em;max-height:9em;display:block}html .tmap-smaller-list{max-height:7em}html .tmap-very-small-list{max-height:5empx}html .tc-tiddler-controls button.tmap-active-button svg{fill:#888888}html #tmap-node-filter-dialog #tmap-filter-tips{font-size:0.8em}html #tmap-node-filter-dialog textarea{height:100px;max-height:300px;overflow:auto;width:100%;font-size:11px;font-family:\"Courier New\", Courier, monospace}@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}){.tc-sidebar-scrollable .tmap-desktop-editor .tmap-widget:not(.tmap-fullscreen){display:none}}@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}){.tc-sidebar-scrollable .tmap-mobile-editor{display:none}.tc-modal-wrapper{z-index:1010}.tc-modal-wrapper .tc-modal{boder:1px solid #999999;left:calc(50% - 400px);width:802px}.tc-modal-wrapper .tc-modal-body{left:calc(50% - 400px);width:800px}}@-o-keyframes fadein-keyframes{0%{opacity:0}100%{opacity:1}}@-moz-keyframes fadein-keyframes{0%{opacity:0}100%{opacity:1}}@-webkit-keyframes fadein-keyframes{0%{opacity:0}100%{opacity:1}}@keyframes flash fadein-keyframes{0%{opacity:0}100%{opacity:1}}@-o-keyframes fadeout-keyframes{0%{opacity:1}100%{opacity:0}}@-moz-keyframes fadeout-keyframes{0%{opacity:1}100%{opacity:0}}@-webkit-keyframes fadeout-keyframes{0%{opacity:1}100%{opacity:0}}@keyframes flash fadeout-keyframes{0%{opacity:1}100%{opacity:0}}.tmap-config-widget{background:#F0F0F0;padding:5px;margin:5px 0;box-sizing:border-box;display:block}.tmap-config-widget .vis-network{display:none}.tmap-config-widget .vis-configuration-wrapper{width:100%}.tmap-config-widget .vis-configuration-wrapper .vis-config-rangeinput{height:inherit;margin-left:4px}.tmap-config-widget .vis-configuration-wrapper .vis-configuration.vis-config-item{width:100%;height:inherit;background:none;padding-left:0px;left:0}.tmap-config-widget .vis-configuration-wrapper .vis-configuration.vis-config-item.tmap-vis-config-item-active .vis-config-label::after{content:\"(inherited)\";position:absolute;display:inline-block;margin-left:10px;-o-animation:fadein-keyframes 1s;-moz-animation:fadein-keyframes 1s;-webkit-animation:fadein-keyframes 1s;animation:fadein-keyframes 1s;content:\"✔\";color:green;font-weight:bold;font-size:15px}.tmap-config-widget .vis-configuration-wrapper .vis-configuration.vis-config-item button.tmap-config-item-reset{vertical-align:top;margin-left:5px}.tmap-config-widget .vis-configuration-wrapper .vis-configuration.vis-config-item .vis-config-range{width:150px}.tmap-config-widget .vis-configuration-wrapper .vis-configuration.vis-config-item .vis-config-range::-moz-range-track{width:150px !important}.tmap-config-widget .vis-configuration-wrapper .vis-configuration.vis-config-item .vis-config-label{width:150px}.tmap-config-widget::after{clear:both;content:\"\";display:block}.tmap-flash-message{border:1px solid lightgray;padding:5px;margin:6px 0;display:block;color:#333333}.tmap-flash-message.tmap-info,.tmap-flash-message.tmap-plain,.tmap-flash-message.tmap-neutral{background:#F0F0F0}.tmap-flash-message.tmap-info::before,.tmap-flash-message.tmap-plain::before,.tmap-flash-message.tmap-neutral::before{content:\"i\";display:inline-block;border-radius:50%;width:0.8em;border:2px solid;font-family:serif;text-align:center;height:0.8em;font-weight:bold;line-height:0.8em;vertical-align:text-top;margin-right:2px}.tmap-flash-message.tmap-valid,.tmap-flash-message.tmap-success{background:#D1EED4}.tmap-flash-message.tmap-valid::before,.tmap-flash-message.tmap-success::before{content:\"i\";display:inline-block;border-radius:50%;width:0.8em;border:2px solid;font-family:serif;text-align:center;height:0.8em;font-weight:bold;line-height:0.8em;vertical-align:text-top;margin-right:2px}.tmap-flash-message.tmap-warning{background:#FFF6D1}.tmap-flash-message.tmap-warning::before{content:\"\";display:inline-block;background:url(<<tmap \"datauri\" \"$:/core/images/warning\" \"\">>);display:inline-block;width:1em;height:1em;background-size:100% 100%;vertical-align:text-top;margin-right:2px}.tmap-flash-message.tmap-malformed,.tmap-flash-message.tmap-invalid,.tmap-flash-message.tmap-danger{background:#EED5D1}.tmap-flash-message.tmap-malformed::before,.tmap-flash-message.tmap-invalid::before,.tmap-flash-message.tmap-danger::before{content:\"\";display:inline-block;background:url(<<tmap \"datauri\" \"$:/core/images/warning\" \"\">>);display:inline-block;width:1em;height:1em;background-size:100% 100%;vertical-align:text-top;margin-right:2px}.tmap-widget{background:#FFFFFF;width:auto;position:relative;border:1px dotted lightgray;padding:2px;color:#666;display:block}.tmap-widget.tmap-click-to-use:not(.tmap-fullscreen) .vis-network:not(.vis-active){cursor:pointer}.tmap-widget.tmap-click-to-use:not(.tmap-fullscreen) .vis-network:not(.vis-active) .vis-navigation{display:none}.tmap-widget.tmap-click-to-use:not(.tmap-fullscreen) .vis-network:not(.vis-active):hover:before{color:gray;background:white;content:\"Click to use\";font-size:14px;font-weight:bold;right:calc(50% - 65px - 5px);position:absolute;text-align:center;top:calc(50% - 14px - 5px);width:130px;z-index:2000;padding:5px;pointer-events:none;background-color:rgba(255,255,255,0.3)}.tmap-widget .tmap-loading-bar{display:none;position:absolute;text-align:center;font-size:2em;padding:10px;top:50%;background:rgba(245,245,245,0.5);z-index:1;width:250px;margin:auto;left:0px;right:0px}.tmap-widget .tmap-vis-graph{height:calc(100% - 35px)}.tmap-widget.tmap-no-buttons .vis-navigation{display:none}.tmap-widget.tmap-advanced-editor .tmap-topbar{background:#d6d9d8}.tmap-widget.tmap-advanced-editor .tmap-topbar .tmap-active-button{color:#488DCD}.tmap-widget.tmap-advanced-editor .tmap-topbar .tmap-active-button svg{fill:#488DCD}.tmap-widget.tmap-advanced-editor .tmap-topbar .tmap-unicode-button{font-size:1.5em;vertical-align:bottom;height:28px;fill:#555555}.tmap-widget.tmap-advanced-editor .tmap-topbar .tmap-unicode-button svg{vertical-align:baseline}.tmap-widget .tmap-menu-bar{width:100%}.tmap-widget .tmap-topbar{background:#F5F5F5;border-bottom:1px solid lightgray;padding:3px 5px;height:35px;position:relative}.tmap-widget .tmap-topbar .tmap-view-label{width:100%;text-align:center;font-weight:bold;padding-top:3px}.tmap-widget .tmap-topbar .tmap-focus-button{position:absolute;right:10px;top:6px}.tmap-widget .tmap-topbar .tmap-focus-button input{width:140px}.tmap-widget .tmap-topbar .tmap-search-dropdown{position:relative}.tmap-widget .tmap-topbar .tmap-search-dropdown .tc-drop-down{position:absolute;z-index:999;right:0px}.tmap-widget .tmap-topbar [hidden]{display:none}.tmap-widget .tmap-topbar select{width:30%;max-width:200px;word-wrap:initial;padding:0px;height:28px}.tmap-widget .tmap-topbar button{line-height:inherit;color:#666}.tmap-widget .tmap-topbar>*{display:inline-block}.tmap-widget .tmap-topbar .tmap-separator:after{color:#bdbdbd;margin:3px;content:\" | \"}.tmap-widget .tmap-topbar .tc-edit-add-tag .tc-add-tag-name input{width:70%}.tmap-widget .tmap-topbar .tc-sidebar-header{text-shadow:none}.tmap-widget .tmap-topbar .tc-edit-tags{border:none;padding:inherit;box-shadow:none}.tmap-widget.tmap-static-mode .tmap-topbar{height:initial}.tmap-widget.tmap-static-mode .tmap-vis-graph{text-align:center;cursor:not-allowed}.tmap-widget.tmap-static-mode .tmap-vis-graph:not(.tmap-graph-placeholder):hover::before{box-shadow:10px 10px 5px lightgray;color:gray;background:white;content:\"Static\";font-size:18px;font-weight:bold;left:50%;margin-left:-100px;position:absolute;text-align:center;top:50px;width:200px;z-index:2000;padding:5px;pointer-events:none}.tmap-widget.tmap-static-mode .tmap-vis-graph.tmap-graph-placeholder::before{content:\"No Preview\";display:block;text-align:center;padding:20px}.tmap-widget .tc-drop-down{min-width:170px;padding:5px;margin:5px 0}.tmap-widget .tc-drop-down button,.tmap-widget .tc-drop-down a{padding:0 2px;text-decoration:none}.tmap-widget .tc-drop-down button:hover,.tmap-widget .tc-drop-down a:hover{color:#ffffff}.tmap-widget .tc-drop-down button svg,.tmap-widget .tc-drop-down a svg{vertical-align:middle}.tmap-widget .tc-block-dropdown{width:370px;min-width:370px;padding:5px;margin:15px 0 0 -370px}.tmap-widget .tc-block-dropdown a{display:inline;padding:0px}.tmap-widget.tmap-plain-design{border:none;padding:0px}.tmap-widget.tmap-plain-design .tmap-topbar{display:none}.tc-sidebar-scrollable .tmap-widget{position:absolute;min-height:350px}.tmap-widget div.vis-network .vis-edit-mode{height:26px}.tmap-widget div.vis-network .vis-manipulation{height:34px;border-top:1px solid #d6d9d8;background:rgba(245,245,245,0.7)}.tmap-widget div.vis-network .vis-navigation .vis-button.tmap-button-enabled{right:15px}.tmap-widget div.vis-network .vis-navigation .vis-button.tmap-button-enabled.tmap-fullscreen-button{bottom:90px;background-image:url(<<tmap \"datauri\" \"$:/plugins/felixhayashi/tiddlymap/media/fullscreen.png\" \"\">>)}.tmap-widget div.vis-network .vis-navigation .vis-button.tmap-button-enabled.tmap-halfscreen-button{bottom:130px;background-image:url(<<tmap \"datauri\" \"$:/plugins/felixhayashi/tiddlymap/media/halfscreen.png\" \"\">>)}.tmap-widget div.vis-network .vis-navigation .vis-button:hover{box-shadow:0 0 3px 3px rgba(75,75,75,0.3)}.tmap-widget div.vis-network .vis-navigation .vis-button:hover:before{background:beige;display:block;color:black;padding:3px;position:relative;border:1px solid lightgray;width:80px;left:-100px;top:-50px;z-index:1000;text-align:center}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.vis-up:before{left:30px;content:\"Scroll up\"}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.vis-down:before{left:30px;content:\"Scroll down\"}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.vis-right:before{left:30px;content:\"Scroll right\"}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.vis-left:before{left:30px;content:\"Scroll left\"}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.vis-zoomOut:before{content:\"Zoom out\"}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.vis-zoomIn:before{content:\"Zoom in\"}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.vis-zoomExtends:before{content:\"Fit whole graph\"}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.tmap-fullscreen-button:before{content:\"Toggle Fullscreen\"}.tmap-widget div.vis-network .vis-navigation .vis-button:hover.tmap-halfscreen-button:before{content:\"Toggle Halfscreen\"}.tc-dropzone>.tc-story-river .tmap-widget .vis-navigation .tmap-halfscreen-button{display:none}.tc-dropzone>.tc-story-river .tmap-widget:not(.tmap-fullscreen) .vis-navigation .vis-button{display:none}.tc-dropzone>.tc-story-river .tmap-widget:hover .vis-navigation .vis-button.tmap-fullscreen-button{display:block}.tc-dropzone>.tc-story-river .tmap-widget:hover .vis-navigation .vis-button.vis-zoomExtends{display:block}body.tmap-has-fullscreen-widget{overflow:hidden}body.tmap-has-fullscreen-widget .tmap-widget.tmap-fullscreen{background:white !important;height:100% !important;width:100% !important;position:fixed !important;top:0 !important;right:0 !important;bottom:0 !important;left:0 !important;z-index:999 !important;border:none !important;margin:0 !important}body.tmap-has-fullscreen-widget .tc-dropzone>*.tmap-has-fullscreen-widget{background:white !important;height:100% !important;width:100% !important;position:fixed !important;top:0 !important;right:0 !important;bottom:0 !important;left:0 !important;z-index:999 !important;border:none !important;margin:0 !important}body.tmap-has-fullscreen-widget .tc-dropzone>*:not(.tmap-has-fullscreen-widget){display:none}body.tmap-has-halfscreen-widget .tmap-widget.tmap-halfscreen{background:white !important;height:100% !important;width:100% !important;position:fixed !important;top:0 !important;right:0 !important;bottom:0 !important;left:0 !important;z-index:999 !important;border:none !important;margin:0 !important;position:absolute !important;border-left:1px solid lightgray !important}.tc-modal-footer .tmap-hidden-close-button{display:none}.tmap-modal-content{position:relative;padding:1em 0;padding-top:0}.tmap-modal-content table tr td{vertical-align:top}.tmap-modal-content :not(pre)>code{padding:1px;font-size:0.9em;position:relative;top:-1px}.tmap-modal-content :not(pre)>code{color:#666}.tmap-modal-content .tc-tab-set .tc-tab-content{margin-top:0.5em}.tmap-modal-content .tc-image-button{font-size:14px}.tmap-modal-content fieldset{margin:0px}.tmap-modal-content fieldset legend{font-weight:bold}.tc-modal-body .tmap-modal-editor>p{margin:0px}.tc-modal-body .tmap-modal-editor .tmap-template-select select{width:50%}.tc-modal-body .tmap-modal-editor .tc-tiddler-frame{margin:auto;width:auto}.tc-modal-body .tmap-modal-editor .tc-tiddler-frame .tc-tiddler-controls{display:none}.tc-modal-body .tmap-modal-editor .tc-tiddler-frame .tc-tiddler-title{display:none}.tc-modal-body table{margin:6px 0;border:none;width:100%}.tc-modal-body table td,.tc-modal-body table th{border:1px solid lightgray}.tc-modal-body table.tmap-key-value-table th{width:30%;background-color:#F0F0F0}.tc-modal-body table.tmap-config-table.tmap-large-input tr td:last-child{width:20%}.tc-modal-body table.tmap-config-table.tmap-small-input tr td:last-child{width:60%}.tc-modal-body table.tmap-config-table tr td{border:none;vertical-align:top;padding:5px}.tc-modal-body table.tmap-config-table tr td:first-child{width:15%}.tc-modal-body table.tmap-config-table tr td:last-child{width:40%}.tc-modal-body table.tmap-config-table tr td input:not([type=radio]),.tc-modal-body table.tmap-config-table tr td textarea,.tc-modal-body table.tmap-config-table tr td select{width:100%;word-wrap:normal}.tc-modal-body table.tmap-config-table tr td textarea{height:100%}.tc-modal-body table.tmap-config-table tr td .tmap-no-stretch input,.tc-modal-body table.tmap-config-table tr td .tmap-no-stretch textarea,.tc-modal-body table.tmap-config-table tr td .tmap-no-stretch select{width:auto}.tc-modal-body table.tmap-config-table tr td div.tmap-button-wrapper{text-align:center}.tc-modal-body table.tmap-config-table tr td .tmap-note{margin-top:0.5em}.tc-modal-body table.tmap-config-table tr td .tmap-description{font-style:italic}#tmap-element-type-manager>div:first-child{height:50vh;float:left;width:21%;background:linear-gradient(90deg, #f5f5f5 0%, #fff 50%)}#tmap-element-type-manager>div:first-child .tmap-searchbar{padding:1em 0 0 0}#tmap-element-type-manager>div:first-child .tmap-searchbar input{width:calc(100% - 36px)}#tmap-element-type-manager>div:first-child .tmap-searchbar button{width:30px;float:right}#tmap-element-type-manager>div:first-child ul{height:calc(100% - 65px);overflow:auto;margin-top:1em;padding:0}#tmap-element-type-manager>div:first-child ul.no-bullets li{list-style:none}#tmap-element-type-manager>div:first-child ul li{white-space:nowrap}#tmap-element-type-manager>div:first-child ul li .tmap-ranking{width:30px;display:inline-block}#tmap-element-type-manager>div:last-child{height:100%;width:calc(79% - 15px);float:right}#tmap-element-type-manager>div:last-child .tc-tab-set .tc-tab-content{overflow:auto;height:50vh}.tmap-manage-node-types .tmap-edge-type-specific{display:none !important}.tmap-manage-edge-types .tmap-node-type-specific{display:none !important}.tmap-modal-fullscreen-editor .tc-tab-content p{margin:1em 0}.tmap-has-pending-template{background-color:#C1EDC4}#tmap-search-table td{border:none;padding-left:0px}#tmap-search-table td:first-child{width:30px}#tmap-search-table b{display:inline-block;width:40px;text-align:right}#tmap-search-table ul{padding-left:20px;margin:1em 0 0 0}#tmap-search-table ul 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            "title": "$:/plugins/felixhayashi/tiddlymap/layout",
            "type": "text/vnd.tiddlywiki",
            "tags": [
                "$:/tags/Stylesheet"
            ]
        },
        "$:/plugins/felixhayashi/tiddlymap/js/AbstractEdgeTypeSubscriber": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/AbstractEdgeTypeSubscriber",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function e(e,r){for(var t=0;t<r.length;t++){var i=r[t];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(r,t,i){if(t)e(r.prototype,t);if(i)e(r,i);return r}}();/* @preserve TW-Guard */ /* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/AbstractEdgeTypeSubscriber\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */\n/* @preserve TW-Guard */var _EdgeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeType\");var _EdgeType2=_interopRequireDefault(_EdgeType);var _exception=require(\"$:/plugins/felixhayashi/tiddlymap/js/exception\");function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,r){if(!(e instanceof r)){throw new TypeError(\"Cannot call a class as a function\")}}var AbstractEdgeTypeSubscriber=function(){function e(r){var t=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{},i=t.priority,n=i===undefined?0:i,a=t.skipOthers,s=a===undefined?true:a,u=t.ignore,l=u===undefined?false:u;_classCallCheck(this,e);this.allEdgeTypes=r;this.priority=n;this.skipOthers=s;this.ignore=l}_createClass(e,[{key:\"setTracker\",value:function e(r){this.tracker=r}},{key:\"loadEdges\",value:function e(r,t,i){throw new _exception.MissingOverrideError(this,\"loadEdges\")}},{key:\"canHandle\",value:function e(r){throw new _exception.MissingOverrideError(this,\"canHandle\")}},{key:\"insertEdge\",value:function e(r,t,i){}},{key:\"deleteEdge\",value:function e(r,t,i){}}]);return e}();exports.default=AbstractEdgeTypeSubscriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/AbstractEdgeTypeSubscriber.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/AbstractMagicEdgeTypeSubscriber": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/AbstractMagicEdgeTypeSubscriber",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function e(e,r){for(var t=0;t<r.length;t++){var i=r[t];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(r,t,i){if(t)e(r.prototype,t);if(i)e(r,i);return r}}();var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _Edge=require(\"$:/plugins/felixhayashi/tiddlymap/js/Edge\");var _Edge2=_interopRequireDefault(_Edge);var _exception=require(\"$:/plugins/felixhayashi/tiddlymap/js/exception\");var _AbstractRefEdgeTypeSubscriber=require(\"$:/plugins/felixhayashi/tiddlymap/js/AbstractRefEdgeTypeSubscriber\");var _AbstractRefEdgeTypeSubscriber2=_interopRequireDefault(_AbstractRefEdgeTypeSubscriber);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,r){if(!(e instanceof r)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,r){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return r&&(typeof r===\"object\"||typeof r===\"function\")?r:e}function _inherits(e,r){if(typeof r!==\"function\"&&r!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof r)}e.prototype=Object.create(r&&r.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(r)Object.setPrototypeOf?Object.setPrototypeOf(e,r):e.__proto__=r}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/AbstractMagicEdgeTypeSubscriber\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var AbstractMagicEdgeTypeSubscriber=function(e){_inherits(r,e);function r(e,t){_classCallCheck(this,r);var i=_possibleConstructorReturn(this,(r.__proto__||Object.getPrototypeOf(r)).call(this,e,t));i.edgeTypesByFieldName=_utils2.default.makeHashMap();for(var a in e){var n=e[a];if(i.canHandle(n)){i.edgeTypesByFieldName[n.name]=n}}return i}_createClass(r,[{key:\"getReferencesFromField\",value:function e(r,t,i){throw new _exception.MissingOverrideError(this,\"getReferencesFromField\")}},{key:\"getReferences\",value:function e(r,t,i){var a=_utils2.default.makeHashMap();var n=r.fields;for(var s in n){var u=this.edgeTypesByFieldName[s];if(!u||i&&!i[u.id])continue;var o=this.getReferencesFromField(r,s,t);if(o&&o.length){a[u.id]=o}}return a}}]);return r}(_AbstractRefEdgeTypeSubscriber2.default);exports.default=AbstractMagicEdgeTypeSubscriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/AbstractMagicEdgeTypeSubscriber.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/AbstractRefEdgeTypeSubscriber": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/AbstractRefEdgeTypeSubscriber",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var i=t[r];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(t,r,i){if(r)e(t.prototype,r);if(i)e(t,i);return t}}();var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _Edge=require(\"$:/plugins/felixhayashi/tiddlymap/js/Edge\");var _Edge2=_interopRequireDefault(_Edge);var _exception=require(\"$:/plugins/felixhayashi/tiddlymap/js/exception\");var _AbstractEdgeTypeSubscriber=require(\"$:/plugins/felixhayashi/tiddlymap/js/AbstractEdgeTypeSubscriber\");var _AbstractEdgeTypeSubscriber2=_interopRequireDefault(_AbstractEdgeTypeSubscriber);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/AbstractRefEdgeTypeSubscriber\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var AbstractRefEdgeTypeSubscriber=function(e){_inherits(t,e);function t(){_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).apply(this,arguments))}_createClass(t,[{key:\"loadEdges\",value:function e(t,r,i){var a=this.getReferences(t,r,i);if(!a||!_utils2.default.hasElements(a))return;var s=t.fields[\"tmap.id\"];var n=$tm.tracker.getIdsByTiddlers();var u=this.allEdgeTypes;var l=_utils2.default.getTiddlerRef(t);var o=_utils2.default.makeHashMap();for(var f in a){var c=a[f];if(!c){continue}var p=u[f];for(var d=c.length;d--;){var _=c[d];if(!_||!$tw.wiki.tiddlerExists(_)||_utils2.default.isSystemOrDraft(_)||r&&!r[_]){continue}var b=p.id+$tw.utils.hashString(l+_);o[b]=new _Edge2.default(s,n[_],p.id,b)}}return o}},{key:\"getReferences\",value:function e(t,r,i){throw new _exception.MissingOverrideError(this,\"getReferences\")}}]);return t}(_AbstractEdgeTypeSubscriber2.default);exports.default=AbstractRefEdgeTypeSubscriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/AbstractRefEdgeTypeSubscriber.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/EdgeTypeSubscriberRegistry": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/EdgeTypeSubscriberRegistry",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function e(e,r){for(var t=0;t<r.length;t++){var s=r[t];s.enumerable=s.enumerable||false;s.configurable=true;if(\"value\"in s)s.writable=true;Object.defineProperty(e,s.key,s)}}return function(r,t,s){if(t)e(r.prototype,t);if(s)e(r,s);return r}}();function _classCallCheck(e,r){if(!(e instanceof r)){throw new TypeError(\"Cannot call a class as a function\")}}\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/EdgeTypeSubscriberRegistry\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var EdgeTypeSubscriberRegistry=function(){function e(r,t,s){_classCallCheck(this,e);this.subscriberClasses=r;this.tracker=s;this.updateIndex(t)}_createClass(e,[{key:\"getAllForType\",value:function e(r){var t=this.allSubscribers;var s=[];for(var i=0,a=t.length;i<a;i++){if(t[i].canHandle(r)){s.push(t[i]);if(t[i].skipOthers){break}}}return s}},{key:\"getAll\",value:function e(){return this.allSubscribers}},{key:\"updateIndex\",value:function e(r){var t=[];var s=this.subscriberClasses;for(var i in s){var a=new s[i](r);a.setTracker(this.tracker);if(a.ignore===true){continue}t.push(a)}t.sort(function(e,r){return r.priority-e.priority});this.allSubscribers=t}}]);return e}();exports.default=EdgeTypeSubscriberRegistry;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/EdgeTypeSubscriberRegistry.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/tmap": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/tmap",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.TmapEdgeTypeSubscriber=undefined;var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var r=arguments[t];for(var i in r){if(Object.prototype.hasOwnProperty.call(r,i)){e[i]=r[i]}}}return e};var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var i=t[r];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(t,r,i){if(r)e(t.prototype,r);if(i)e(t,i);return t}}();var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _Edge=require(\"$:/plugins/felixhayashi/tiddlymap/js/Edge\");var _Edge2=_interopRequireDefault(_Edge);var _AbstractEdgeTypeSubscriber=require(\"$:/plugins/felixhayashi/tiddlymap/js/AbstractEdgeTypeSubscriber\");var _AbstractEdgeTypeSubscriber2=_interopRequireDefault(_AbstractEdgeTypeSubscriber);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/tmap\ntype: application/javascript\nmodule-type: tmap.edgetypehandler\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var TmapEdgeTypeSubscriber=function(e){_inherits(t,e);function t(e){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,_extends({priority:0},r)))}_createClass(t,[{key:\"loadEdges\",value:function e(t,r,i){var a=_utils2.default.parseFieldData(t,\"tmap.edges\");if(!a){return}var n=this.tracker.getTiddlersByIds();var u=t.fields[\"tmap.id\"];var s=_utils2.default.makeHashMap();for(var l in a){var o=a[l];var d=n[o.to];if(d&&(!r||r[d])&&(!i||i[o.type])){s[l]=new _Edge2.default(u,o.to,o.type,l)}}return s}},{key:\"insertEdge\",value:function e(t,r,i){var a=_utils2.default.parseFieldData(t,\"tmap.edges\",{});r.id=r.id||_utils2.default.genUUID();a[r.id]={to:r.to,type:i.id};_utils2.default.writeFieldData(t,\"tmap.edges\",a,$tm.config.sys.jsonIndentation);return r}},{key:\"deleteEdge\",value:function e(t,r,i){if(!r.id)return;var a=_utils2.default.parseFieldData(t,\"tmap.edges\",{});delete a[r.id];_utils2.default.writeFieldData(t,\"tmap.edges\",a,$tm.config.sys.jsonIndentation);return r}},{key:\"canHandle\",value:function e(t){return true}}]);return t}(_AbstractEdgeTypeSubscriber2.default);exports.TmapEdgeTypeSubscriber=TmapEdgeTypeSubscriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/TmapEdgeTypeSubscriber.js.map\n",
            "type": "application/javascript",
            "module-type": "tmap.edgetypehandler"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/field": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/field",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.FieldEdgeTypeSubscriber=undefined;var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var r=arguments[t];for(var i in r){if(Object.prototype.hasOwnProperty.call(r,i)){e[i]=r[i]}}}return e};var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var i=t[r];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(t,r,i){if(r)e(t.prototype,r);if(i)e(t,i);return t}}();var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _AbstractMagicEdgeTypeSubscriber=require(\"$:/plugins/felixhayashi/tiddlymap/js/AbstractMagicEdgeTypeSubscriber\");var _AbstractMagicEdgeTypeSubscriber2=_interopRequireDefault(_AbstractMagicEdgeTypeSubscriber);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/field\ntype: application/javascript\nmodule-type: tmap.edgetypehandler\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var FieldEdgeTypeSubscriber=function(e){_inherits(t,e);function t(e){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,_extends({priority:10},r)))}_createClass(t,[{key:\"canHandle\",value:function e(t){return t.namespace===\"tw-field\"}},{key:\"getReferencesFromField\",value:function e(t,r,i){return[t.fields[r]]}},{key:\"insertEdge\",value:function e(t,r,i){var n=this.tracker.getTiddlerById(r.to);if(n==null){return}_utils2.default.setField(t,i.name,n);return r}},{key:\"deleteEdge\",value:function e(t,r,i){var n=this.tracker.getTiddlerById(r.to);if(n==null){return}_utils2.default.setField(t,i.name,undefined);return r}}]);return t}(_AbstractMagicEdgeTypeSubscriber2.default);exports.FieldEdgeTypeSubscriber=FieldEdgeTypeSubscriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/magicEdgeTypeSubscriber/FieldEdgeTypeSubscriber.js.map\n",
            "type": "application/javascript",
            "module-type": "tmap.edgetypehandler"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/filter": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/filter",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.FilterEdgeTypeSubstriber=undefined;var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var r=arguments[t];for(var i in r){if(Object.prototype.hasOwnProperty.call(r,i)){e[i]=r[i]}}}return e};var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var i=t[r];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(t,r,i){if(r)e(t.prototype,r);if(i)e(t,i);return t}}();var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _AbstractMagicEdgeTypeSubscriber=require(\"$:/plugins/felixhayashi/tiddlymap/js/AbstractMagicEdgeTypeSubscriber\");var _AbstractMagicEdgeTypeSubscriber2=_interopRequireDefault(_AbstractMagicEdgeTypeSubscriber);var _widget=require(\"$:/core/modules/widgets/widget.js\");var _widget2=_interopRequireDefault(_widget);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/filter\ntype: application/javascript\nmodule-type: tmap.edgetypehandler\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var FilterEdgeTypeSubstriber=function(e){_inherits(t,e);function t(e){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,_extends({priority:10},r)))}_createClass(t,[{key:\"canHandle\",value:function e(t){return t.namespace===\"tw-filter\"}},{key:\"getReferencesFromField\",value:function e(t,r,i){var n=t.fields[r];var a=new _widget2.default.widget({});a.setVariable(\"currentTiddler\",t.fields.title);var u=new _widget2.default.widget({},{parentWidget:a});var s=_utils2.default.getMatches(n,i,u);return s}},{key:\"insertEdge\",value:function e(t,r,i){if(!r.to){return}var n=i.name;var a=t.fields[n]||\"\";var u=this.tracker.getTiddlerById(r.to);var s=$tw.utils.stringifyList([u]);if(a.length>0){s=\" \"+s}_utils2.default.setField(t,n,a+s);return r}}]);return t}(_AbstractMagicEdgeTypeSubscriber2.default);exports.FilterEdgeTypeSubstriber=FilterEdgeTypeSubstriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/magicEdgeTypeSubscriber/FilterEdgeTypeSubscriber.js.map\n",
            "type": "application/javascript",
            "module-type": "tmap.edgetypehandler"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/list": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/list",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.ListEdgeTypeSubscriber=undefined;var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var r=arguments[t];for(var i in r){if(Object.prototype.hasOwnProperty.call(r,i)){e[i]=r[i]}}}return e};var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var i=t[r];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(t,r,i){if(r)e(t.prototype,r);if(i)e(t,i);return t}}();var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _AbstractMagicEdgeTypeSubscriber=require(\"$:/plugins/felixhayashi/tiddlymap/js/AbstractMagicEdgeTypeSubscriber\");var _AbstractMagicEdgeTypeSubscriber2=_interopRequireDefault(_AbstractMagicEdgeTypeSubscriber);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/list\ntype: application/javascript\nmodule-type: tmap.edgetypehandler\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var ListEdgeTypeSubscriber=function(e){_inherits(t,e);function t(e){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,_extends({priority:10},r)))}_createClass(t,[{key:\"canHandle\",value:function e(t){return t.namespace===\"tw-list\"}},{key:\"getReferencesFromField\",value:function e(t,r,i){return $tw.utils.parseStringArray(t.fields[r])}},{key:\"insertEdge\",value:function e(t,r,i){if(!r.to){return}var n=i.name;var s=$tw.utils.parseStringArray(t.fields[n]);s=(s||[]).slice();var a=this.tracker.getTiddlerById(r.to);s.push(a);_utils2.default.setField(t,n,$tw.utils.stringifyList(s));return r}},{key:\"deleteEdge\",value:function e(t,r,i){var n=$tw.utils.parseStringArray(t.fields[i.name]);n=(n||[]).slice();var s=this.tracker.getTiddlerById(r.to);var a=n.indexOf(s);if(a>-1){n.splice(a,1)}var u=void 0;if(n.length>0){u=$tw.utils.stringifyList(n)}_utils2.default.setField(t,i.name,u);return r}}]);return t}(_AbstractMagicEdgeTypeSubscriber2.default);exports.ListEdgeTypeSubscriber=ListEdgeTypeSubscriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/magicEdgeTypeSubscriber/ListEdgeTypeSubscriber.js.map\n",
            "type": "application/javascript",
            "module-type": "tmap.edgetypehandler"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/body/link": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/body/link",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.LinkEdgeTypeSubscriber=undefined;var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var r=arguments[t];for(var n in r){if(Object.prototype.hasOwnProperty.call(r,n)){e[n]=r[n]}}}return e};var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var n=t[r];n.enumerable=n.enumerable||false;n.configurable=true;if(\"value\"in n)n.writable=true;Object.defineProperty(e,n.key,n)}}return function(t,r,n){if(r)e(t.prototype,r);if(n)e(t,n);return t}}();var _AbstractRefEdgeTypeSubscriber=require(\"$:/plugins/felixhayashi/tiddlymap/js/AbstractRefEdgeTypeSubscriber\");var _AbstractRefEdgeTypeSubscriber2=_interopRequireDefault(_AbstractRefEdgeTypeSubscriber);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/body/link\ntype: application/javascript\nmodule-type: tmap.edgetypehandler\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var LinkEdgeTypeSubscriber=function(e){_inherits(t,e);function t(e){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,_extends({priority:20},r)))}_createClass(t,[{key:\"canHandle\",value:function e(t){return t.id===\"tw-body:link\"}},{key:\"getReferences\",value:function e(t,r,n){if(n&&!n[\"tw-body:link\"]){return}var i=$tw.wiki.getTiddlerLinks(t.fields.title);if(!i||!i.length){return}return{\"tw-body:link\":i}}}]);return t}(_AbstractRefEdgeTypeSubscriber2.default);exports.LinkEdgeTypeSubscriber=LinkEdgeTypeSubscriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/refEdgeTypeSubscriber/LinkEdgeTypeSubscriber.js.map\n",
            "type": "application/javascript",
            "module-type": "tmap.edgetypehandler"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/body/transclude": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/body/transclude",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.TranscludeEdgeTypeSubscriber=undefined;var _extends=Object.assign||function(e){for(var r=1;r<arguments.length;r++){var t=arguments[r];for(var n in t){if(Object.prototype.hasOwnProperty.call(t,n)){e[n]=t[n]}}}return e};var _createClass=function(){function e(e,r){for(var t=0;t<r.length;t++){var n=r[t];n.enumerable=n.enumerable||false;n.configurable=true;if(\"value\"in n)n.writable=true;Object.defineProperty(e,n.key,n)}}return function(r,t,n){if(t)e(r.prototype,t);if(n)e(r,n);return r}}();var _AbstractRefEdgeTypeSubscriber=require(\"$:/plugins/felixhayashi/tiddlymap/js/AbstractRefEdgeTypeSubscriber\");var _AbstractRefEdgeTypeSubscriber2=_interopRequireDefault(_AbstractRefEdgeTypeSubscriber);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,r){if(!(e instanceof r)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,r){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return r&&(typeof r===\"object\"||typeof r===\"function\")?r:e}function _inherits(e,r){if(typeof r!==\"function\"&&r!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof r)}e.prototype=Object.create(r&&r.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(r)Object.setPrototypeOf?Object.setPrototypeOf(e,r):e.__proto__=r}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/modules/edge-type-handler/body/transclude\ntype: application/javascript\nmodule-type: tmap.edgetypehandler\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var TranscludeEdgeTypeSubscriber=function(e){_inherits(r,e);function r(e){var t=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};_classCallCheck(this,r);return _possibleConstructorReturn(this,(r.__proto__||Object.getPrototypeOf(r)).call(this,e,_extends({priority:20,ignore:typeof $tw.wiki.getTiddlerTranscludes!==\"function\"},t)))}_createClass(r,[{key:\"canHandle\",value:function e(r){return r.id===\"tw-body:transclude\"}},{key:\"getReferences\",value:function e(r,t,n){if(n&&!n[\"tw-body:transclude\"]){return}var i=$tw.wiki.getTiddlerTranscludes(r.fields.title);if(!i||!i.length){return}return{\"tw-body:transclude\":i}}}]);return r}(_AbstractRefEdgeTypeSubscriber2.default);exports.TranscludeEdgeTypeSubscriber=TranscludeEdgeTypeSubscriber;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/edgeTypeSubscriber/refEdgeTypeSubscriber/TranscludeEdgeTypeSubscriber.js.map\n",
            "type": "application/javascript",
            "module-type": "tmap.edgetypehandler"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/Edge": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/Edge",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/Edge\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var Edge=function e(t,i,s,l){_classCallCheck(this,e);this.from=t;this.to=i;this.type=s;this.id=l||_utils2.default.genUUID()};exports.default=Edge;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/graph/Edge.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/EdgeType": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/EdgeType",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var r=arguments[t];for(var n in r){if(Object.prototype.hasOwnProperty.call(r,n)){e[n]=r[n]}}}return e};var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var n=t[r];n.enumerable=n.enumerable||false;n.configurable=true;if(\"value\"in n)n.writable=true;Object.defineProperty(e,n.key,n)}}return function(t,r,n){if(r)e(t.prototype,r);if(n)e(t,n);return t}}();var _MapElementType2=require(\"$:/plugins/felixhayashi/tiddlymap/js/MapElementType\");var _MapElementType3=_interopRequireDefault(_MapElementType2);var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _environment=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/environment\");var env=_interopRequireWildcard(_environment);function _interopRequireWildcard(e){if(e&&e.__esModule){return e}else{var t={};if(e!=null){for(var r in e){if(Object.prototype.hasOwnProperty.call(e,r))t[r]=e[r]}}t.default=e;return t}}function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/EdgeType\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var EdgeType=function(e){_inherits(t,e);function t(e,r){_classCallCheck(this,t);var n=t.getIdParts(e),o=n.marker,a=n.namespace,i=n.name;e=t.getId(o,a,i);var l=_possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,env.path.edgeTypes,t.fieldMeta,r));l.id=e;l.marker=o;l.name=i;l.namespace=a;var u=(l.style||{}).arrows;if(u){l.invertedArrow=isArrowEnabled(u,\"from\");l.toArrow=isArrowEnabled(u,\"to\")||isArrowEnabled(u,\"middle\");l.biArrow=l.invertedArrow===l.toArrow;if(l.biArrow){l.toArrow=true;l.invertedArrow=true}}else{l.toArrow=true}Object.freeze(l);return l}_createClass(t,[{key:\"getLabel\",value:function e(){return this.label||this.name}}],[{key:\"getIdParts\",value:function e(){var t=arguments.length>0&&arguments[0]!==undefined?arguments[0]:\"\";t=_utils2.default.getWithoutPrefix(t,env.path.edgeTypes+\"/\");var r=t.match(edgeTypeRegex)||[];return{marker:r[1]||\"\",namespace:r[3]&&r[2]||\"\",name:r[3]||r[2]||\"\"}}},{key:\"getId\",value:function e(){var t=arguments.length>0&&arguments[0]!==undefined?arguments[0]:\"\";var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:\"\";var n=arguments[2];return n?t+(r&&r+\":\")+n:\"tmap:unknown\"}}]);return t}(_MapElementType3.default);EdgeType.getInstance=function(e){return e instanceof EdgeType?e:new EdgeType(e)};EdgeType.fieldMeta=_extends({},_MapElementType3.default.fieldMeta,{label:{},\"show-label\":{}});var isArrowEnabled=function e(t,r){var n=t[r];if(n==null&&r===\"to\"){return true}return(typeof n===\"undefined\"?\"undefined\":_typeof(n))===\"object\"?n.enabled!==false:n===true};var edgeTypeRegex=new RegExp(\"^(_?)([^:_][^:]*):?([^:]*)\");exports.default=EdgeType;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/graph/EdgeType.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/MapElementType": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/MapElementType",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(t){return typeof t}:function(t){return t&&typeof Symbol===\"function\"&&t.constructor===Symbol&&t!==Symbol.prototype?\"symbol\":typeof t};var _createClass=function(){function t(t,e){for(var i=0;i<e.length;i++){var l=e[i];l.enumerable=l.enumerable||false;l.configurable=true;if(\"value\"in l)l.writable=true;Object.defineProperty(t,l.key,l)}}return function(e,i,l){if(i)t(e.prototype,i);if(l)t(e,l);return e}}();/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/MapElementType\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(t){return t&&t.__esModule?t:{default:t}}function _classCallCheck(t,e){if(!(t instanceof e)){throw new TypeError(\"Cannot call a class as a function\")}}var MapElementType=function(){function t(e,i,l,s){_classCallCheck(this,t);this.id=e;this.root=i;this._fieldMeta=l;this.fullPath=this.root+\"/\"+this.id;this.isShipped=$tw.wiki.getSubTiddler($tm.path.pluginRoot,this.fullPath);this._load(s||this.fullPath)}_createClass(t,[{key:\"_load\",value:function t(e){if(!e){return}if(typeof e===\"string\"){var i=_utils2.default.startsWith(e,this.root);var l=i?e:this.root+\"/\"+e;this._loadFromTiddler(l)}else if(e instanceof $tw.Tiddler){this._loadFromTiddler(e)}else if((typeof e===\"undefined\"?\"undefined\":_typeof(e))===\"object\"){for(var s in this._fieldMeta){this[s]=e[s]}}}},{key:\"_loadFromTiddler\",value:function t(e){var i=_utils2.default.getTiddler(e);if(!i){return}var l=$tw.wiki.getSubTiddler($tm.path.pluginRoot,this.fullPath)||{};var s=$tw.utils.extend({},l.fields,i.fields);for(var r in this._fieldMeta){var a=this._fieldMeta[r].parse;var f=s[r];this[r]=a?a.call(this,f):f}}},{key:\"exists\",value:function t(){return _utils2.default.tiddlerExists(this.fullPath)}},{key:\"setStyle\",value:function t(e,i){if(typeof e===\"string\"){e=_utils2.default.parseJSON(e)}if((typeof e===\"undefined\"?\"undefined\":_typeof(e))===\"object\"){if(i){_utils2.default.merge(this.style,e)}else{this.style=e}}}},{key:\"save\",value:function t(e,i){if(!e){e=this.fullPath}else if(typeof e!==\"string\"){return}var l={title:e,text:\"\"};if(!_utils2.default.startsWith(e,this.root)){l.id=this.id}for(var s in this._fieldMeta){var r=this._fieldMeta[s].stringify;l[s]=r?r.call(this,this[s]):this[s]}if(!this.exists()){Object.assign(l,$tw.wiki.getCreationFields())}if(i!==true){Object.assign(l,$tw.wiki.getModificationFields())}$tw.wiki.addTiddler(new $tw.Tiddler(l))}}]);return t}();MapElementType.fieldMeta={description:{},style:{parse:_utils2.default.parseJSON,stringify:JSON.stringify},modified:{},created:{}};exports.default=MapElementType;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/graph/MapElementType.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/NodeType": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/NodeType",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var r=arguments[t];for(var n in r){if(Object.prototype.hasOwnProperty.call(r,n)){e[n]=r[n]}}}return e};var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var n=t[r];n.enumerable=n.enumerable||false;n.configurable=true;if(\"value\"in n)n.writable=true;Object.defineProperty(e,n.key,n)}}return function(t,r,n){if(r)e(t.prototype,r);if(n)e(t,n);return t}}();var _MapElementType2=require(\"$:/plugins/felixhayashi/tiddlymap/js/MapElementType\");var _MapElementType3=_interopRequireDefault(_MapElementType2);var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/NodeType\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var NodeType=function(e){_inherits(t,e);function t(e,r){_classCallCheck(this,t);e=typeof e===\"string\"?_utils2.default.getWithoutPrefix(e,$tm.path.nodeTypes+\"/\"):\"tmap:unknown\";var n=_possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,$tm.path.nodeTypes,t.fieldMeta,r));Object.freeze(n);return n}_createClass(t,[{key:\"getInheritors\",value:function e(t){return this.scope?_utils2.default.getMatches(this.scope,t||$tw.wiki.allTitles()):[]}}]);return t}(_MapElementType3.default);NodeType.getInstance=function(e){return e instanceof NodeType?e:new NodeType(e)};NodeType.fieldMeta=_extends({},_MapElementType3.default.fieldMeta,{view:{},priority:{parse:function e(t){return isNaN(t)?1:parseInt(t)},stringify:function e(t){return _utils2.default.isInteger(t)?t.toString():\"1\"}},scope:{stringify:_utils2.default.getWithoutNewLines},\"fa-icon\":{},\"tw-icon\":{}});exports.default=NodeType;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/graph/NodeType.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/ViewAbstraction": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/ViewAbstraction",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var i=arguments[t];for(var r in i){if(Object.prototype.hasOwnProperty.call(i,r)){e[r]=i[r]}}}return e};var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};var _createClass=function(){function e(e,t){for(var i=0;i<t.length;i++){var r=t[i];r.enumerable=r.enumerable||false;r.configurable=true;if(\"value\"in r)r.writable=true;Object.defineProperty(e,r.key,r)}}return function(t,i,r){if(i)e(t.prototype,i);if(r)e(t,r);return t}}();/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/ViewAbstraction\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _EdgeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeType\");var _EdgeType2=_interopRequireDefault(_EdgeType);var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _environment=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/environment\");var env=_interopRequireWildcard(_environment);var _exception=require(\"$:/plugins/felixhayashi/tiddlymap/js/exception\");function _interopRequireWildcard(e){if(e&&e.__esModule){return e}else{var t={};if(e!=null){for(var i in e){if(Object.prototype.hasOwnProperty.call(e,i))t[i]=e[i]}}t.default=e;return t}}function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}var ViewAbstraction=function(){function e(t){var i=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};_classCallCheck(this,e);if(t instanceof e){return t}this._registerPaths(t);if(i.isCreate){if(!this.configTRef){var r=_utils2.default.getRandomLabel({plural:true});this.configTRef=$tw.wiki.generateNewTitle($tm.path.views+\"/\"+r)}this._createView(i)}else if(!e.exists(this.getRoot())){throw new ResourceNotFoundException(\"ViewAbstraction\",t)}}_createClass(e,[{key:\"isLocked\",value:function e(){return $tw.wiki.isShadowTiddler(this.configTRef)}},{key:\"update\",value:function e(t){var i=t.changedTiddlers;if(t[env.path.edgeTypes]||_utils2.default.hasKeyWithPrefix(i,this.getRoot())){this._clearCaches();return true}return false}},{key:\"addPlaceholder\",value:function e(t){_utils2.default.cp(_utils2.default.getTiddlerRef(t),this.snapshotTRef,true)}},{key:\"exists\",value:function t(){return e.exists(this)}},{key:\"getRoot\",value:function e(){return this.configTRef}},{key:\"getCreationDate\",value:function e(t){var i=$tw.wiki.getTiddler(this.configTRef).fields[\"created\"];if(t){return i instanceof Date?$tw.utils.formatDateString(i,\"DDth MMM YYYY\"):\"\"}return i}},{key:\"getLabel\",value:function e(){return _utils2.default.getBasename(this.configTRef)}},{key:\"destroy\",value:function e(){_utils2.default.deleteTiddlers(_utils2.default.getMatches(\"[prefix[\"+this.configTRef+\"]]\"))}},{key:\"getOccurrences\",value:function e(){var t=\"[regexp:text[<\\\\$(tiddlymap|tmap).*?view=.\"+this.getLabel()+\"..*?>]]\";return _utils2.default.getMatches(t)}},{key:\"rename\",value:function t(i){if(typeof i!==\"string\"){return false}if(_utils2.default.inArray(\"/\",i)){$tm.notify('A view name must not contain any \"/\"');return false}var r=this.getLabel();var a=env.path.views+\"/\"+i;var n=this.getRoot();_utils2.default.mv(n,a,true);if($tm.config.sys.defaultView===r){_utils2.default.setEntry($tm.ref.sysUserConf,\"defaultView\",i)}if($tm.config.sys.liveTab.fallbackView===r){_utils2.default.setEntry($tm.ref.sysUserConf,\"liveTab.fallbackView\",i)}$tw.wiki.each(function(t,a){if(t.fields[\"tmap.open-view\"]===r){_utils2.default.setField(a,\"tmap.open-view\",i);return}if(e.exists(a)){var n=new e(a);var l=n.getNodeData();for(var s in l){if(l[s][\"open-view\"]===r){l[s][\"open-view\"]=i}}n.saveNodeData(l)}});this._clearCaches();this._registerPaths(i)}},{key:\"isEnabled\",value:function e(t){return _utils2.default.isTrue(this.getConfig(t),false)}},{key:\"getConfig\",value:function e(t){var i=this;var r=$tw.wiki.getCacheForTiddler(this.configTRef,\"tmap-config\",function(){var e=_utils2.default.getTiddler(i.configTRef).fields;return _utils2.default.getPropertiesByPrefix(e,\"config.\")});var a=t&&_utils2.default.startsWith(t,\"config.\")?t:\"config.\"+t;return t?r[a]:r}},{key:\"setConfig\",value:function e(){for(var t=arguments.length,i=Array(t),r=0;r<t;r++){i[r]=arguments[r]}if(i[0]==null){return}if(i.length===1&&_typeof(i[0])===\"object\"){for(var a in i[0]){this.setConfig(a,i[0][a])}}else if(i.length===2&&typeof i[0]===\"string\"){var n=_utils2.default.getWithoutPrefix(i[0],\"config.\");var l=i[1];if(l===undefined){return}var s=this.getConfig();if(l===null){$tm.logger(\"debug\",\"Removing config\",n);delete s[\"config.\"+n]}else{if(n===\"edge_type_namespace\"){var o=l.match(/[^:]+/);l=o?o[0]:\"\"}}$tm.logger(\"log\",\"Setting config\",n,l);s[\"config.\"+n]=l;$tw.wiki.addTiddler(new $tw.Tiddler(_utils2.default.getTiddler(this.configTRef),s))}else{throw new(Function.prototype.bind.apply(_exception.InvalidArgumentException,[null].concat(i)))}}},{key:\"isLiveView\",value:function e(){return this.getLabel()===$tm.misc.liveViewLabel}},{key:\"isNodeIncludedById\",value:function t(i){var r=$tw.utils.escapeRegExp(e._getNodeIdFilterPart(i));return this.getNodeFilter(\"raw\").match(r)}},{key:\"setNodeFilter\",value:function e(t,i){t=t.replace(/[\\n\\r]/g,\" \");if(this.getNodeFilter(\"raw\")===t){return}_utils2.default.setField(this.nodeFilterTRef,\"filter\",t);$tm.logger(\"debug\",\"Node filter set to\",t)}},{key:\"setEdgeTypeFilter\",value:function e(t){t=t.replace(/[\\n\\r]/g,\" \");if(this.getEdgeTypeFilter(\"raw\")===t){return}_utils2.default.setField(this.edgeTypeFilterTRef,\"filter\",t);$tm.logger(\"debug\",\"Edge filter set to\",t)}},{key:\"addNode\",value:function t(i){if(!this.isNodeIncludedById(i)){if(_utils2.default.isTrue($tm.config.sys.alwaysAddNodeIdToViewFilter)||!_utils2.default.isMatch(i.tRef,this.getNodeFilter(\"compiled\"))){var r=e._getNodeIdFilterPart(i);var a=\" \";this.setNodeFilter(this.getNodeFilter(\"raw\")+a+r)}this.saveNodePosition(i)}}},{key:\"removeNode\",value:function t(i){if(!this.isNodeIncludedById(i)){return false}var r=e._getNodeIdFilterPart(i);var a=this.getNodeFilter(\"raw\").replace(r,\"\");this.setNodeFilter(a);return true}},{key:\"getEdgeTypeFilter\",value:function e(t){var i=this;var r=$tw.wiki.getCacheForTiddler(this.edgeTypeFilterTRef,\"tmap-edgeTypeFilter\",function(){var e=$tm.indeces.allETy;var t=Object.keys(e);var r=$tw.wiki.getTiddler(i.edgeTypeFilterTRef);var a={};a.raw=r&&r.fields.filter||\"\";a.pretty=_utils2.default.getPrettyFilter(a.raw);a.matches=_utils2.default.getEdgeTypeMatches(a.raw,e);a.whitelist=_utils2.default.getLookupTable(a.matches);return a});return t?r[t]:r}},{key:\"isEdgeTypeVisible\",value:function e(t){return _utils2.default.isEdgeTypeMatch(_EdgeType2.default.getInstance(t).id,this.getEdgeTypeFilter(\"raw\"))}},{key:\"getNodeFilter\",value:function e(t){var i=this;var r=$tw.wiki.getCacheForTiddler(this.nodeFilterTRef,\"tmap-nodeFilter\",function(){var e=_utils2.default.makeHashMap();var t=$tw.wiki.getTiddler(i.nodeFilterTRef);e.raw=t&&t.fields.filter||\"\";e.pretty=_utils2.default.getPrettyFilter(e.raw);e.compiled=$tw.wiki.compileFilter(e.raw);return e});return t?r[t]:r}},{key:\"getNodeData\",value:function e(t){var i=this;var r=$tw.wiki.getCacheForTiddler(this.mapTRef,\"tmap-map\",function(){return _utils2.default.parseFieldData(i.mapTRef,\"text\",{})});return t?r[t]:r}},{key:\"equals\",value:function t(i){return i===this||e.exists(i)&&new e(i).getRoot()===this.getRoot()}},{key:\"saveNodeData\",value:function e(){var t=this.getNodeData();for(var i=arguments.length,r=Array(i),a=0;a<i;a++){r[a]=arguments[a]}if(r.length===2){if(_typeof(r[1])===\"object\"){if(r[1]===null){delete t[r[0]]}else{t[r[0]]=Object.assign(t[r[0]]||{},r[1])}}}else if(r.length===1&&_typeof(r[0])===\"object\"){$tm.logger(\"log\",\"Storing data in\",this.mapTRef);Object.assign(t,r[0])}else{throw new(Function.prototype.bind.apply(_exception.InvalidArgumentException,[null].concat(r)))}_utils2.default.writeFieldData(this.mapTRef,\"text\",t,$tm.config.sys.jsonIndentation)}},{key:\"saveNodePosition\",value:function e(t){if(t.id&&t.x!=null&&t.y!=null){this.saveNodeData(t.id,{x:t.x,y:t.y})}}},{key:\"saveNodePositions\",value:function e(t){var i=this.getNodeData();for(var r in t){i[r]=i[r]||{};i[r].x=t[r].x;i[r].y=t[r].y}this.saveNodeData(i)}},{key:\"setCentralTopic\",value:function e(t){this.setConfig(\"central-topic\",t)}},{key:\"saveNodeStyle\",value:function e(t,i){var r=this.getNodeData(t)||{};var a={x:r.x,y:r.y};for(var n in r){delete r[n]}this.saveNodeData(t,_extends({},i,a))}},{key:\"_registerPaths\",value:function t(i,r){this.configTRef=e._getRootPath(i);this.mapTRef=this.configTRef+\"/map\";this.nodeFilterTRef=this.configTRef+\"/filter/nodes\";this.edgeTypeFilterTRef=this.configTRef+\"/filter/edges\";this.snapshotTRef=this.getRoot()+\"/snapshot\"}},{key:\"_clearCaches\",value:function e(){_utils2.default.getMatches(\"[prefix[\"+this.getRoot()+\"]]\").forEach(function(e){$tw.wiki.clearCache(e)})}},{key:\"_createView\",value:function t(){var i=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{},r=i.isForce,a=i.protoView,n=i.isHidden;if(e.exists(this)){if(!r){return}this.destroy()}if(e.exists(a)){_utils2.default.cp(new e(a).getRoot(),this.configTRef,true)}var l={title:this.configTRef,id:_utils2.default.genUUID()};if(!n){l[$tm.field.viewMarker]=true}$tw.wiki.addTiddler(new $tw.Tiddler(_utils2.default.getTiddler(this.configTRef),l));this.setEdgeTypeFilter(env.filter.defaultEdgeTypeFilter)}}],[{key:\"_getNodeIdFilterPart\",value:function e(t){var i=(typeof t===\"undefined\"?\"undefined\":_typeof(t))===\"object\"?t.id:t;return\"[field:tmap.id[\"+i+\"]]\"}},{key:\"_getRootPath\",value:function t(i){if(i instanceof e){return i.configTRef}if(i instanceof $tw.Tiddler){i=i.fields.title}if(typeof i===\"string\"){var r=_utils2.default.getWithoutPrefix(i,$tm.path.views+\"/\");if(r&&!_utils2.default.hasSubString(r,\"/\")){return $tm.path.views+\"/\"+r}}}},{key:\"exists\",value:function t(i){if(!i){return false}if(i instanceof e){i=i.configTRef}else{i=e._getRootPath(i)}return _utils2.default.tiddlerExists(i)}}]);return e}();exports.default=ViewAbstraction;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/graph/ViewAbstraction.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/Popup": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/Popup",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function Popup(e,t){t=t||{};this._parentDomNode=e;this._domNode=document.createElement(\"div\");this._domNode.style.display=\"none\";this._domNode.className=\"tmap-popup\";this._parentDomNode.appendChild(this._domNode);$tw.utils.addClass(this._domNode,t.className);this._isEnabled=true;this._isPreventShowOrHide=false;this._isHideOnClick=!!t.hideOnClick;this._timeoutShow=null;this._timeoutHide=null;this._isDisplayNoneAfterAnimation=true;var i=parseInt(t.leavingDelay);this._hideDelayLeavingPopup=_utils2.default.isInteger(i)?i:200;i=parseInt(t.hideDelay);this._hideDelay=_utils2.default.isInteger(i)?i:200;i=parseInt(t.showDelay);this._showDelay=_utils2.default.isInteger(i)?i:200;_utils2.default.bindTo(this,[\"_show\",\"_hide\",\"_handleEnter\",\"_handleLeave\",\"_handleAnimationEnd\",\"_handleClick\"]);this._listeners={mouseenter:this._handleEnter,mouseleave:this._handleLeave,click:[this._handleClick,true]};var s=this._handleAnimationEnd;this._listeners[$tw.utils.convertEventName(\"animationEnd\")]=s;this._listeners[$tw.utils.convertEventName(\"transitionEnd\")]=s;_utils2.default.setDomListeners(\"add\",this._domNode,this._listeners,false)}\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/Popup\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */Popup.prototype._handleEnter=function(e){this._isPreventShowOrHide=true};Popup.prototype._handleLeave=function(e){this._isPreventShowOrHide=false;this.hide(this._hideDelayLeavingPopup)};Popup.prototype._handleClick=function(e){if(this._isHideOnClick){this._hide(true)}};Popup.prototype._handleAnimationEnd=function(){if(this._isDisplayNoneAfterAnimation){this._domNode.style.display=\"none\"}};Popup.prototype._hide=function(e){if(!e&&this._isPreventShowOrHide)return;this._isDisplayNoneAfterAnimation=true;this._isPreventShowOrHide=false;$tw.utils.removeClass(this._domNode,\"tmap-popup-active\")};Popup.prototype._show=function(e,t){if(this._isPreventShowOrHide||$tm.mouse.ctrlKey||!this._isEnabled){return}this._domNode.style.display=\"none\";$tw.utils.removeClass(this._domNode,\"tmap-popup-active\");this._domNode.removeAttribute(\"style\");_utils2.default.removeDOMChildNodes(this._domNode);var i=this._domNode.appendChild(document.createElement(\"div\"));if(typeof t===\"function\"){t(e,i)}else{i.innerHTML=t}if(!i.childNodes.length)return;var s=this._parentDomNode.getBoundingClientRect();var o=$tm.mouse.clientX;var n=$tm.mouse.clientY;this._domNode.style.display=\"block\";var d=this._domNode.getBoundingClientRect();var l=s.right-(o+d.width);var h=o-d.width-s.left;var a=l>h;var u=s.bottom-(n+d.height);var r=n-d.height-s.top;var p=u>r;var _=a?-15:d.width+15;var m=p?-15:d.height+15;this._domNode.style.left=o-s.left-_+\"px\";this._domNode.style.top=n-s.top-m+\"px\";this._isDisplayNoneAfterAnimation=false;$tw.utils.addClass(this._domNode,\"tmap-popup-active\")};Popup.prototype.show=function(e,t,i){this._clearTimeouts();i=_utils2.default.isInteger(i)?i:this._showDelay;this._timeoutShow=setTimeout(this._show,i,e,t)};Popup.prototype.hide=function(e,t){this._clearTimeouts();e=_utils2.default.isInteger(e)?e:this._hideDelay;if(t||e===0){this._hide(t)}else{this._timeoutHide=setTimeout(this._hide,e,t)}};Popup.prototype.setEnabled=function(e){this._isEnabled=e};Popup.prototype.isShown=function(){return this._domNode.style.display===\"block\"};Popup.prototype._clearTimeouts=function(){clearTimeout(this._timeoutShow);clearTimeout(this._timeoutHide);this._timeoutShow=undefined;this._timeoutHide=undefined};exports.default=Popup;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/Popup.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/lib/SelectionRectangle": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/lib/SelectionRectangle",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function t(t,e){for(var i=0;i<e.length;i++){var n=e[i];n.enumerable=n.enumerable||false;n.configurable=true;if(\"value\"in n)n.writable=true;Object.defineProperty(t,n.key,n)}}return function(e,i,n){if(i)t(e.prototype,i);if(n)t(e,n);return e}}();function _classCallCheck(t,e){if(!(t instanceof e)){throw new TypeError(\"Cannot call a class as a function\")}}\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/lib/SelectionRectangle\ntype: application/SelectionRectangle\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var SelectionRectangle=function(){function t(e,i){_classCallCheck(this,t);this.x1=e;this.x2=e;this.y1=i;this.y2=i}_createClass(t,[{key:\"span\",value:function t(e,i){this.x2=e;this.y2=i}},{key:\"getWidth\",value:function t(){return this.x2-this.x1}},{key:\"getHeight\",value:function t(){return this.y2-this.y1}},{key:\"getRect\",value:function t(){return[this.x1,this.y1,this.getWidth(),this.getHeight()]}},{key:\"isPointWithin\",value:function t(e){var i=e.x,n=e.y;var a=this.x1,r=this.x2,s=this.y1,u=this.y2;var h=Math.min(a,r);var c=Math.max(a,r);var l=Math.min(s,u);var o=Math.max(s,u);return h<i&&i<c&&l<n&&n<o}}]);return t}();exports.default=SelectionRectangle;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/SelectionRectangle.js.map\n",
            "type": "application/SelectionRectangle",
            "module-type": "library"
        },
        "/home/felo/projects/Tiddlywiki/TiddlyWiki5/plugins/felixhayashi/tiddlymap/js/lib/TypeDefs.js": {
            "title": "/home/felo/projects/Tiddlywiki/TiddlyWiki5/plugins/felixhayashi/tiddlymap/js/lib/TypeDefs.js",
            "text": "\"use strict\";\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/TypeDefs.js.map\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/config/vis": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/config/vis",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/config/vis\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var visConfig={locale:\"en_EN\",clickToUse:false,autoResize:false,height:\"100%\",width:\"100%\",configure:{enabled:false},interaction:{dragNodes:true,dragView:true,hideEdgesOnDrag:false,hideNodesOnDrag:false,hover:true,navigationButtons:true,multiselect:true,selectable:true,selectConnectedEdges:true,tooltipDelay:600,zoomView:false,keyboard:{enabled:false,speed:{x:10,y:10,zoom:.02},bindToWindow:false}},manipulation:{initiallyActive:true},nodes:{shape:\"box\",widthConstraint:{maximum:160},heightConstraint:{valign:\"center\"},shadow:{enabled:false},color:{border:\"#2B7CE9\",background:\"#97C2FC\"}},edges:{smooth:{enabled:true},color:{color:\"#848484\",inherit:false},arrows:{to:{enabled:true}}},layout:{hierarchical:{enabled:false,levelSeparation:200,nodeSpacing:170,treeSpacing:230,sortMethod:\"directed\",parentCentralization:true,edgeMinimization:true,blockShifting:true,direction:\"UD\"}},physics:{forceAtlas2Based:{gravitationalConstant:-300,springLength:0,springConstant:.2,centralGravity:.015,damping:.4},hierarchicalRepulsion:{nodeDistance:120,centralGravity:0,springLength:100,springConstant:.01,damping:.09},solver:\"forceAtlas2Based\",stabilization:{enabled:true,iterations:1e3,updateInterval:10,onlyDynamicEdges:false,fit:false}}};exports.default=visConfig;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/VisConfig.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/lib/environment": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/lib/environment",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _extends=Object.assign||function(e){for(var i=1;i<arguments.length;i++){var a=arguments[i];for(var l in a){if(Object.prototype.hasOwnProperty.call(a,l)){e[l]=a[l]}}}return e};\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/lib/environment\ntype: application/javascript\n module-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var path=exports.path={pluginRoot:\"$:/plugins/felixhayashi/tiddlymap\",edgeTypes:\"$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes\",nodeTypes:\"$:/plugins/felixhayashi/tiddlymap/graph/nodeTypes\",views:\"$:/plugins/felixhayashi/tiddlymap/graph/views\",options:\"$:/plugins/felixhayashi/tiddlymap/config\",dialogs:\"$:/plugins/felixhayashi/tiddlymap/dialog\",footers:\"$:/plugins/felixhayashi/tiddlymap/dialogFooter\",tempRoot:\"$:/temp/tmap\",tempStates:\"$:/temp/tmap/state\",tempPopups:\"$:/temp/tmap/state/popup\",localHolders:\"$:/temp/tmap/holders\"};var ref=exports.ref={defaultViewHolder:\"$:/plugins/felixhayashi/tiddlymap/misc/defaultViewHolder\",graphBar:\"$:/plugins/felixhayashi/tiddlymap/misc/advancedEditorBar\",sysUserConf:\"$:/plugins/felixhayashi/tiddlymap/config/sys/user\",visUserConf:\"$:/plugins/felixhayashi/tiddlymap/config/vis/user\",welcomeFlag:\"$:/plugins/felixhayashi/tiddlymap/flag/welcome\",focusButton:\"$:/plugins/felixhayashi/tiddlymap/misc/focusButton\",sysMeta:\"$:/plugins/felixhayashi/tiddlymap/misc/meta\",liveTab:\"$:/plugins/felixhayashi/tiddlymap/hook/liveTab\",mainEditor:\"$:/plugins/felixhayashi/tiddlymap/hook/editor\",sidebarBreakpoint:\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\"};var misc=exports.misc={unknownEdgeLabel:\"tmap:undefined\",liveViewLabel:\"Live View\",defaultViewLabel:\"Default\",mainEditorId:\"main_editor\",arrows:{in:\"⇦\",out:\"➡\",bi:\"⇄\"}};var config=exports.config={sys:{field:{nodeLabel:\"caption\",nodeIcon:\"icon\",nodeInfo:\"description\",viewMarker:\"isview\"},liveTab:{fallbackView:misc.liveViewLabel},suppressedDialogs:{},edgeClickBehaviour:\"manager\",debug:\"false\",notifications:\"true\",popups:{enabled:\"true\",delay:\"600\",width:\"240px\",height:\"140px\"},jsonIndentation:\"1\",alwaysAddNodeIdToViewFilter:\"true\",editNodeOnCreate:\"false\",singleClickMode:\"false\",nodeFilterNeighbours:\"false\",editorMenuBar:{showNeighScopeButton:\"true\",showRasterMenuButton:\"true\",showScreenshotButton:\"true\"}}};var filter=exports.filter={nodeTypes:\"[prefix[\"+path.nodeTypes+\"]]\",edgeTypes:\"[prefix[\"+path.edgeTypes+\"]]\",views:\"[\"+config.sys.field.viewMarker+\"[true]]\",defaultEdgeTypeFilter:\"-[prefix[_]] -[[tw-body:link]] -[[tw-list:tags]] -[[tw-list:list]]\"};var allSelector=\"[all[tiddlers+shadows]!has[draft.of]]\";var s={allEdgeTypes:allSelector+\" +\"+filter.edgeTypes,allNodeTypes:allSelector+\" +\"+filter.nodeTypes,allViews:allSelector+\" +\"+filter.views,allPotentialNodes:\"[all[tiddlers]!is[system]!has[draft.of]]\"};var selector=exports.selector=_extends({},s,{allEdgeTypesById:s.allEdgeTypes+\" +[removeprefix[\"+path.edgeTypes+\"/]]\",allNodeTypesById:s.allNodeTypes+\" +[removeprefix[\"+path.nodeTypes+\"/]]\",allViewsByLabel:s.allViews+\" +[removeprefix[\"+path.views+\"/]]\"});\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/environment.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/exception": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/exception",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function r(r,t){for(var e=0;e<t.length;e++){var o=t[e];o.enumerable=o.enumerable||false;o.configurable=true;if(\"value\"in o)o.writable=true;Object.defineProperty(r,o.key,o)}}return function(t,e,o){if(e)r(t.prototype,e);if(o)r(t,o);return t}}();function _classCallCheck(r,t){if(!(r instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(r,t){if(!r){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:r}function _inherits(r,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}r.prototype=Object.create(t&&t.prototype,{constructor:{value:r,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(r,t):r.__proto__=t}\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/exception\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var TiddlyMapError=function(r){_inherits(t,r);function t(r,e){_classCallCheck(this,t);var o=_possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,r));o.payload=e;return o}_createClass(t,[{key:\"getPayload\",value:function r(){return this.payload}}]);return t}(Error);var EnvironmentError=exports.EnvironmentError=function(r){_inherits(t,r);function t(r){_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,\"Critical parts of the underlying system changed: \"+r))}return t}(TiddlyMapError);var DependencyError=exports.DependencyError=function(r){_inherits(t,r);function t(r){_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,\"TiddlyMap cannot run without: : \"+r))}return t}(TiddlyMapError);var MissingOverrideError=exports.MissingOverrideError=function(r){_inherits(t,r);function t(r,e){_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,r.constructor.name+' does not override method \"'+e+'\"'))}return t}(TiddlyMapError);var ResourceNotFoundException=exports.ResourceNotFoundException=function(r){_inherits(t,r);function t(r){_classCallCheck(this,t);for(var e=arguments.length,o=Array(e>1?e-1:0),n=1;n<e;n++){o[n-1]=arguments[n]}return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,\"Cannot resolve \"+r,o))}return t}(TiddlyMapError);var InvalidArgumentException=exports.InvalidArgumentException=function(r){_inherits(t,r);function t(){_classCallCheck(this,t);for(var r=arguments.length,e=Array(r),o=0;o<r;o++){e[o]=arguments[o]}return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,\"Invalid or missing argument provided\",e))}return t}(TiddlyMapError);\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/exceptions.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/URL": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/URL",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/URL\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */\n/**\n * <<<\n * Lightweight URL manipulation with JavaScript. This library is\n * independent of any other libraries and has pretty simple interface\n * and lightweight code-base. Some ideas of query string parsing\n * had been taken from Jan Wolter.\"\n *\n * @see http://unixpapa.com/js/querystring.html\n * @license MIT\n * @author Mykhailo Stadnyk <mikhus@gmail.com>\n * <<< https://github.com/Mikhus/jsurl\n *\n * @class\n * @param {string} url\n */function Url(t){this.paths=function(t){var e=\"\",r=0,o;if(t&&t.length&&t+\"\"!==t){if(this.isAbsolute()){e=\"/\"}for(o=t.length;r<o;r++){t[r]=encode(t[r])}this.path=e+t.join(\"/\")}t=(this.path.charAt(0)===\"/\"?this.path.slice(1):this.path).split(\"/\");for(r=0,o=t.length;r<o;r++){t[r]=decode(t[r])}return t};this.encode=encode;this.decode=decode;this.isAbsolute=function(){return this.protocol||this.path.charAt(0)===\"/\"};this.toString=function(){return(this.protocol&&this.protocol+\"://\")+(this.user&&encode(this.user)+(this.pass&&\":\"+encode(this.pass))+\"@\")+(this.host&&this.host)+(this.port&&\":\"+this.port)+(this.path&&this.path)+(this.query.toString()&&\"?\"+this.query)+(this.hash&&\"#\"+encode(this.hash))};parse(this,t)}var map={protocol:\"protocol\",host:\"hostname\",port:\"port\",path:\"pathname\",query:\"search\",hash:\"hash\"},defaultPorts={ftp:21,gopher:70,http:80,https:443,ws:80,wss:443},parse=function t(e,r){var o=document,s=o.createElement(\"a\"),r=r||o.location.href,i=r.match(/\\/\\/(.*?)(?::(.*?))?@/)||[],n;s.href=r;for(n in map){e[n]=s[map[n]]||\"\"}e.protocol=e.protocol.replace(/:$/,\"\");e.query=e.query.replace(/^\\?/,\"\");e.hash=decode(e.hash.replace(/^#/,\"\"));e.user=decode(i[1]||\"\");e.pass=decode(i[2]||\"\");e.port=defaultPorts[e.protocol]==e.port||e.port==0?\"\":e.port;if(!e.protocol&&!/^([a-z]+:)?\\/\\//.test(r)){var h=new Url(o.location.href.match(/(.*\\/)/)[0]),a=h.path.split(\"/\"),p=e.path.split(\"/\"),c=[\"protocol\",\"user\",\"pass\",\"host\",\"port\"],f=c.length;a.pop();for(n=0;n<f;n++){e[c[n]]=h[c[n]]}while(p[0]==\"..\"){a.pop();p.shift()}e.path=(r.charAt(0)!=\"/\"?a.join(\"/\"):\"\")+\"/\"+p.join(\"/\")}else{e.path=e.path.replace(/^\\/?/,\"/\")}e.paths((e.path.charAt(0)==\"/\"?e.path.slice(1):e.path).split(\"/\"));parseQs(e)},encode=function t(e){return encodeURIComponent(e).replace(/'/g,\"%27\")},decode=function t(e){e=e.replace(/\\+/g,\" \");e=e.replace(/%([ef][0-9a-f])%([89ab][0-9a-f])%([89ab][0-9a-f])/gi,function(t,e,r,o){var s=parseInt(e,16)-224,i=parseInt(r,16)-128;if(s==0&&i<32){return t}var n=parseInt(o,16)-128,h=(s<<12)+(i<<6)+n;if(h>65535){return t}return String.fromCharCode(h)});e=e.replace(/%([cd][0-9a-f])%([89ab][0-9a-f])/gi,function(t,e,r){var o=parseInt(e,16)-192;if(o<2){return t}var s=parseInt(r,16)-128;return String.fromCharCode((o<<6)+s)});e=e.replace(/%([0-7][0-9a-f])/gi,function(t,e){return String.fromCharCode(parseInt(e,16))});return e},parseQs=function t(e){var r=e.query;e.query=new function(t){var e=/([^=&]+)(=([^&]*))?/g,r;while(r=e.exec(t)){var o=decodeURIComponent(r[1].replace(/\\+/g,\" \")),s=r[3]?decode(r[3]):\"\";if(this[o]!=null){if(!(this[o]instanceof Array)){this[o]=[this[o]]}this[o].push(s)}else{this[o]=s}}this.clear=function(){for(var t in this){if(!(this[t]instanceof Function)){delete this[t]}}};this.count=function(){var t=0,e;for(e in this){if(!(this[e]instanceof Function)){t++}}return t};this.isEmpty=function(){return this.count()===0};this.toString=function(){var t=\"\",e=encode,r,o;for(r in this){if(this[r]instanceof Function){continue}if(this[r]instanceof Array){var s=this[r].length;if(s){for(o=0;o<s;o++){t+=t?\"&\":\"\";t+=e(r)+\"=\"+e(this[r][o])}}else{t+=(t?\"&\":\"\")+e(r)+\"=\"}}else{t+=t?\"&\":\"\";t+=e(r)+\"=\"+e(this[r])}}return t}}(r)};exports.default=Url;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/url.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/lib/utils/basic": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/lib/utils/basic",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.bindTo=exports.getNearestRasterPosition=exports.mod=exports.removeDOMChildNodes=exports.setDomListeners=exports.merge=exports.getRandomLabel=exports.getFirstElementByClassName=exports.pickRandom=exports.hasKeyWithPrefix=exports.getWithoutPrefix=exports.getPropertiesByPrefix=exports.removeArrayElement=exports.isTrue=exports.replaceAll=exports.isInteger=exports.findAndRemoveClassNames=exports.getAncestorWithClass=exports.makeHashMap=exports.getWithoutNewLines=exports.joinAndWrap=exports.parseJSON=exports.hasSubString=exports.inArray=exports.getRandomInt=exports.isEqual=exports.identity=exports.base64=exports.startsWith=exports.getBasename=exports.escapeRegex=exports.hasElements=exports.ucFirst=undefined;var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/lib/utils/basic\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _exception=require(\"$:/plugins/felixhayashi/tiddlymap/js/exception\");var ucFirst=exports.ucFirst=function e(t){return t&&t[0].toUpperCase()+t.slice(1)};var hasElements=exports.hasElements=function e(t){return Object.keys(t).length>0};var escapeRegex=exports.escapeRegex=function e(t){return t.replace(/[-$^?.+*[\\]\\\\(){}|]/g,\"\\\\$&\")};var getBasename=exports.getBasename=function e(t){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:\"/\";return t.substring(t.lastIndexOf(r)+1)};var startsWith=exports.startsWith=function e(t,r){return t.substring(0,r.length)===r};var base64=exports.base64=typeof window===\"undefined\"?function(e){return new Buffer(e).toString(\"base64\")}:window.btoa.bind(window);var identity=exports.identity=function e(t){return(typeof t===\"undefined\"?\"undefined\":_typeof(t))===\"object\"&&t!==null?JSON.stringify(Object.keys(t).sort().map(function(e){return[e,t[e]]})):null};var isEqual=exports.isEqual=function e(t,r){return identity(t)===identity(r)};var getRandomInt=exports.getRandomInt=function e(t,r){return Math.floor(Math.random()*(r-t)+t)};var inArray=exports.inArray=function e(t,r){return r.indexOf(t)!==-1};var hasSubString=exports.hasSubString=function e(t,r){return t.indexOf(r)!==-1};var parseJSON=exports.parseJSON=function e(t,r){try{return JSON.parse(t)}catch(e){return r}};var joinAndWrap=exports.joinAndWrap=function e(t,r,n){var o=arguments.length>3&&arguments[3]!==undefined?arguments[3]:\" \";return r+t.join(n+o+r)+n};var getWithoutNewLines=exports.getWithoutNewLines=function e(t){return typeof t===\"string\"?t.replace(/[\\n\\r]/g,\" \"):t};var makeHashMap=exports.makeHashMap=function e(t){var r=Object.create(null);Object.defineProperty(r,\"hasOwnProperty\",{enumerable:false,configurable:false,writable:false,value:Object.prototype.hasOwnProperty.bind(r)});if(t){for(var n in t){if(t.hasOwnProperty(n)){r[n]=t[n]}}}return r};var getAncestorWithClass=exports.getAncestorWithClass=function e(t,r){if((typeof t===\"undefined\"?\"undefined\":_typeof(t))!==\"object\"||typeof r!==\"string\"){return}while(t.parentNode&&t.parentNode!==document){t=t.parentNode;if(t.classList.contains(r)){return t}}};var findAndRemoveClassNames=exports.findAndRemoveClassNames=function e(t){for(var r=t.length;r--;){var n=document.getElementsByClassName(t[r]);for(var o=n.length;o--;){n[o].classList.remove(t[r])}}};var isInteger=exports.isInteger=Number.isInteger||function(e){return typeof e===\"number\"&&isFinite(e)&&Math.floor(e)===e};var replaceAll=exports.replaceAll=function e(t){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:\"\";var n=arguments[2];for(var o=n.length;o--;){var s=n[o];var i=r;if(Array.isArray(s)){i=s[1];s=s[0]}t=t.replace(s,i)}return t};var isTrue=exports.isTrue=function e(t,r){if(t==null){return!!r}else if(typeof t===\"string\"){var n=parseInt(t);return isNaN(n)?t===\"true\":n!==0}else if(typeof t===\"boolean\"){return t}else if(typeof t===\"number\"){return n!==0}return false};var removeArrayElement=exports.removeArrayElement=function e(t,r){var n=t.indexOf(r);if(n>-1){return t.splice(n,1)[0]}};var getPropertiesByPrefix=exports.getPropertiesByPrefix=function e(t,r,n){var o=makeHashMap();for(var s in t){if(startsWith(s,r)){o[n?s.substr(r.length):s]=t[s]}}return o};var getWithoutPrefix=exports.getWithoutPrefix=function e(t,r){return startsWith(t,r)?t.substr(r.length):t};var hasKeyWithPrefix=exports.hasKeyWithPrefix=function e(t,r){for(var n in t){if(startsWith(n,r)){return true}}return false};var pickRandom=exports.pickRandom=function e(t){return t[getRandomInt(0,t.length-1)]};var getFirstElementByClassName=exports.getFirstElementByClassName=function e(t,r,n){var o=(r||document).getElementsByClassName(t)[0];if(!o&&(typeof n===\"boolean\"?n:true)){var s='Missing element with class \"'+t+'\" inside '+r;throw new _exception.EnvironmentError(s)}return o};var getRandomLabel=exports.getRandomLabel=function e(){var t=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{};var r=pickRandom([\"exciting\",\"notable\",\"epic\",\"new\",\"fancy\",\"great\",\"cool\",\"fresh\",\"funky\",\"clever\"]);var n=(t.object||pickRandom([\"concept\",\"idea\",\"thought\",\"topic\",\"subject\"]))+(t.plural?\"s\":\"\");return\"My \"+r+\" \"+n};var _merge=function e(t,r){if((typeof t===\"undefined\"?\"undefined\":_typeof(t))!==\"object\"){t={}}for(var n in r){if(r.hasOwnProperty(n)){if(r[n]!=null){t[n]=_typeof(r[n])===\"object\"?e(t[n],r[n]):r[n]}}}return t};var merge=exports.merge=function e(t){for(var r=arguments.length,n=Array(r>1?r-1:0),o=1;o<r;o++){n[o-1]=arguments[o]}for(var s=0,i=n.length;s<i;s++){var a=n[s];if(a!=null&&(typeof a===\"undefined\"?\"undefined\":_typeof(a))===\"object\"){t=_merge(t,a)}}return t};var setDomListeners=exports.setDomListeners=function e(t,r,n,o){o=typeof o===\"boolean\"?o:false;t=t+\"EventListener\";for(var s in n){var i=n[s];if(typeof i===\"function\"){r[t](s,i,o)}else{r[t](s,i[0],typeof i[1]===\"boolean\"?i[1]:o)}}};var removeDOMChildNodes=exports.removeDOMChildNodes=function e(t){for(var r=t.childNodes.length;r--;){t.removeChild(t.childNodes[r])}};var mod=exports.mod=function e(t,r){var n=t%r;return Math.floor(n>=0?n:n+r)};var getNearestRasterPosition=exports.getNearestRasterPosition=function e(t,r){var n=t.x,o=t.y;var s=r/2;var i=mod(n,r);var a=mod(o,r);return{x:i<s?n-i:n-i+r,y:a<s?o-a:o-a+r}};var bindTo=exports.bindTo=function e(t,r){for(var n=r.length;n--;){var o=t[r[n]];t[r[n]]=o.bind(t)}};\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/utils/basic.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/lib/utils/thirdParty": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/lib/utils/thirdParty",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/lib/utils/thirdParty\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var generateDraftTitle=exports.generateDraftTitle=function e(n){var r=0,t=void 0;do{t=\"Draft \"+(r?r+1+\" \":\"\")+\"of '\"+n+\"'\";r++}while($tw.wiki.tiddlerExists(t));return t};var makeDraftTiddler=exports.makeDraftTiddler=function e(n){var r=$tw.wiki.findDraft(n);if(r){return $tw.wiki.getTiddler(r)}var t=$tw.wiki.getTiddler(n);r=generateDraftTitle(n);var l=new $tw.Tiddler(t,{title:r,\"draft.title\":n,\"draft.of\":n},$tw.wiki.getModificationFields());$tw.wiki.addTiddler(l);return l};var getFullScreenApis=exports.getFullScreenApis=function e(){var n=document,r=n.body,t={_requestFullscreen:r.webkitRequestFullscreen!==undefined?\"webkitRequestFullscreen\":r.mozRequestFullScreen!==undefined?\"mozRequestFullScreen\":r.msRequestFullscreen!==undefined?\"msRequestFullscreen\":r.requestFullscreen!==undefined?\"requestFullscreen\":\"\",_exitFullscreen:n.webkitExitFullscreen!==undefined?\"webkitExitFullscreen\":n.mozCancelFullScreen!==undefined?\"mozCancelFullScreen\":n.msExitFullscreen!==undefined?\"msExitFullscreen\":n.exitFullscreen!==undefined?\"exitFullscreen\":\"\",_fullscreenElement:n.webkitFullscreenElement!==undefined?\"webkitFullscreenElement\":n.mozFullScreenElement!==undefined?\"mozFullScreenElement\":n.msFullscreenElement!==undefined?\"msFullscreenElement\":n.fullscreenElement!==undefined?\"fullscreenElement\":\"\",_fullscreenChange:n.webkitFullscreenElement!==undefined?\"webkitfullscreenchange\":n.mozFullScreenElement!==undefined?\"mozfullscreenchange\":n.msFullscreenElement!==undefined?\"MSFullscreenChange\":n.fullscreenElement!==undefined?\"fullscreenchange\":\"\"};if(!t._requestFullscreen||!t._exitFullscreen||!t._fullscreenElement){return null}else{return t}};var flatten=exports.flatten=function e(n){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};var t=r.delimiter||\".\";var l=r.prefix||\"\";var i={};function u(e,n){Object.keys(e).forEach(function(f){var s=e[f];var c=r.safe&&Array.isArray(s);var a=Object.prototype.toString.call(s);var d=a===\"[object Object]\"||a===\"[object Array]\";var o=n?n+t+f:l+f;if(!c&&d){return u(s,o)}i[o]=s})}u(n);return i};var unflatten=exports.unflatten=function e(n){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};var t=r.delimiter||\".\";var l={};if(Object.prototype.toString.call(n)!==\"[object Object]\"){return n}function i(e){var n=Number(e);return isNaN(n)||e.indexOf(\".\")!==-1?e:n}Object.keys(n).forEach(function(u){var f=u.split(t);var s=i(f.shift());var c=i(f[0]);var a=l;while(c!==undefined){if(a[s]===undefined){a[s]=typeof c===\"number\"&&!r.object?[]:{}}a=a[s];if(f.length>0){s=i(f.shift());c=i(f[0])}}a[s]=e(n[u],r)});return l};var genUUID=exports.genUUID=function(){var e=\"0123456789abcdefghijklmnopqrstuvwxyz\".split(\"\");return function(){var n=e,r=new Array(36);var t=0,l;for(var i=0;i<36;i++){if(i==8||i==13||i==18||i==23){r[i]=\"-\"}else if(i==14){r[i]=\"4\"}else{if(t<=2)t=33554432+Math.random()*16777216|0;l=t&15;t=t>>4;r[i]=n[i==19?l&3|8:l]}}return r.join(\"\")}}();\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/utils/thirdParty.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/lib/utils/tmap": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/lib/utils/tmap",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.getArrayValuesAsHashmapKeys=exports.getLookupTable=exports.keyOfItemWithProperty=exports.keysOfItemsWithProperty=exports.getDublicates=exports.getId=exports.refreshDataSet=exports.drawRaster=exports.getPrettyFilter=exports.groupByProperty=exports.isEdgeTypeMatch=exports.getEdgeTypeMatches=exports.getDataUri=exports.convert=exports.getValues=exports.getIterableCollection=exports.getLabel=undefined;var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/lib/utils/tmap\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _vis=require(\"$:/plugins/felixhayashi/vis/vis.js\");var _vis2=_interopRequireDefault(_vis);var _exception=require(\"$:/plugins/felixhayashi/tiddlymap/js/exception\");var _basic=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/basic\");var basicUtils=_interopRequireWildcard(_basic);var _wiki=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/wiki\");var wikiUtils=_interopRequireWildcard(_wiki);function _interopRequireWildcard(e){if(e&&e.__esModule){return e}else{var t={};if(e!=null){for(var r in e){if(Object.prototype.hasOwnProperty.call(e,r))t[r]=e[r]}}t.default=e;return t}}function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}var getLabel=exports.getLabel=function e(t,r){var i=wikiUtils.getTiddler(t);return(i&&i.fields[r]?i.fields[r]:i.fields.title).replace(\"\\\\n\",\"\\n\")};var getIterableCollection=exports.getIterableCollection=function e(t){return t instanceof _vis2.default.DataSet?t.get():t};var getValues=exports.getValues=function e(t){if(Array.isArray(t)){return t}else if(t instanceof _vis2.default.DataSet){return t.get({returnType:\"Array\"})}var r=[];var i=Object.keys(t);for(var a=i.length;a--;){r.push(t[i[a]])}return r};var convert=exports.convert=function e(t,r){if((typeof t===\"undefined\"?\"undefined\":_typeof(t))!==\"object\"){throw new _exception.InvalidArgumentException(t,r)}if(r===\"object\"){r=\"hashmap\"}var i={array:function e(t){return getValues(t)},hashmap:function e(t){return t instanceof _vis2.default.DataSet?t.get({returnType:\"Object\"}):t},dataset:function e(t){return t instanceof _vis2.default.DataSet?t:!Array.isArray(t)?getValues(t):new _vis2.default.DataSet(t)}};return i[r](t)};var getDataUri=exports.getDataUri=function e(t,r,i){var a=wikiUtils.getTiddler(t);r=r||a.fields.type||\"image/svg+xml\";var s=a.fields.text;var o=$tw.config.contentTypeInfo[r].encoding;if(r===\"image/svg+xml\"){s=s.replace(/\\r?\\n|\\r/g,\" \");if(!basicUtils.hasSubString(\"xmlns\",s)){s=s.replace(/<svg/,'<svg xmlns=\"http://www.w3.org/2000/svg\"')}}if(i&&o!==\"base64\"){o=\"base64\";s=basicUtils.base64(s)}return\"data:\"+r+\";\"+o+\",\"+s};var eTyFiltAutoPrefix=\"[all[]] \";var getEdgeTypeMatches=exports.getEdgeTypeMatches=function e(){var t=arguments.length>0&&arguments[0]!==undefined?arguments[0]:\"\";var r=arguments[1];if(!r){r=wikiUtils.getTiddlersByPrefix($tm.path.edgeTypes+\"/\",{iterator:\"eachTiddlerPlusShadows\",removePrefix:true})}if(r!=null&&!Array.isArray(r)){r=Object.keys(r)}return wikiUtils.getMatches(eTyFiltAutoPrefix+t,r)};var isEdgeTypeMatch=exports.isEdgeTypeMatch=function e(t){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:\"\";return wikiUtils.isMatch(t,eTyFiltAutoPrefix+r)};var groupByProperty=exports.groupByProperty=function e(t,r){t=getIterableCollection(t);var i=basicUtils.makeHashMap();var a=Object.keys(t);for(var s in a){var o=t[a[s]];var n=o[r];if(n==null){throw\"Cannot group by property \"+r}else{if(!Array.isArray(i[n])){i[n]=[]}i[n].push(o)}}return i};var getPrettyFilter=exports.getPrettyFilter=function e(t){t=t.trim().replace(\"][\",\"] [\");var r=/[+-]?\\[.+?[\\]\\}\\>]\\]/g;var i=t.match(r);t=t.replace(r,\" [] \").trim();var a=t.split(/\\s+/);var s=0;var o=[];for(var n=0,l=a.length;n<l;n++){o[n]=a[n]===\"[]\"?i[s++]:a[n]}return o.join(\"\\n\")};var drawRaster=exports.drawRaster=function e(t,r,i,a){var s=arguments.length>4&&arguments[4]!==undefined?arguments[4]:\"#D9D9D9\";var o=basicUtils.getNearestRasterPosition(i,a),n=o.x,l=o.y;var u=t.canvas.width/r;var p=t.canvas.height/r;var f=a*2;var v=Math.ceil(u/a/2)*a+f;var c=Math.ceil(p/a/2)*a+f;var y=n-v;var d=n+v;var g=l-c;var h=l+c;t.beginPath();for(var b=y;b<d;b+=a){t.moveTo(b,g);t.lineTo(b,h)}for(var x=g;x<=h;x+=a){t.moveTo(y,x);t.lineTo(d,x)}t.strokeStyle=s;t.fillStyle=s;t.stroke()};var refreshDataSet=exports.refreshDataSet=function e(t,r){var i=t.get({returnType:\"Object\"});var a=[];var s=[];var o=[];var n=[];for(var l in r){if(i[l]){if(basicUtils.isEqual(i[l],r[l])){continue}s.push(l);t.remove(l)}else{a.push(l)}if(r[l].x===undefined){o.push(l)}t.add(r[l])}for(var u in i){if(!r[u]){n.push(u);t.remove(u)}}return{withoutPosition:o,inserted:a,updated:s,removed:n}};var getId=exports.getId=function e(t){return wikiUtils.getTiddler(t).fields[\"tmap.id\"]};var getDublicates=exports.getDublicates=function e(t){var r=getId(t);if(!r){return[]}var i=wikiUtils.getTiddlersWithField(\"tmap.id\",r,{limit:2});delete i[wikiUtils.getTiddlerRef(t)];return Object.keys(i)};var keysOfItemsWithProperty=exports.keysOfItemsWithProperty=function e(t,r,i,a){t=getIterableCollection(t);var s=Object.keys(t);var o=[];a=typeof a===\"number\"?a:s.length;for(var n=0,l=s.length;n<l;n++){var u=s[n];if(_typeof(t[u])===\"object\"&&t[u][r]){if(!i||t[u][r]===i){o.push(u);if(o.length===a){break}}}}return o};var keyOfItemWithProperty=exports.keyOfItemWithProperty=function e(t,r,i){return keysOfItemsWithProperty(t,r,i,1)[0]};var getLookupTable=exports.getLookupTable=function e(t,r){t=getIterableCollection(t);var i=basicUtils.makeHashMap();var a=Object.keys(t);for(var s=0,o=a.length;s<o;s++){var n=a[s];var l=r?t[n][r]:t[n];var u=typeof l===\"undefined\"?\"undefined\":_typeof(l);if(u===\"string\"&&l!==\"\"||u===\"number\"){if(!i[l]){i[l]=r?t[n]:true;continue}}if(r){throw new Error('Cannot use \"'+l+'\" as lookup table index')}}return i};var getArrayValuesAsHashmapKeys=exports.getArrayValuesAsHashmapKeys=getLookupTable;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/utils/tmap.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/utils": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/utils",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.utils=undefined;var _extends=Object.assign||function(i){for(var r=1;r<arguments.length;r++){var t=arguments[r];for(var e in t){if(Object.prototype.hasOwnProperty.call(t,e)){i[e]=t[e]}}}return i};/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/utils\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _basic=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/basic\");var basicUtils=_interopRequireWildcard(_basic);var _thirdParty=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/thirdParty\");var thirdPartyUtils=_interopRequireWildcard(_thirdParty);var _wiki=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/wiki\");var wikiUtils=_interopRequireWildcard(_wiki);var _tmap=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/tmap\");var tMapUtils=_interopRequireWildcard(_tmap);function _interopRequireWildcard(i){if(i&&i.__esModule){return i}else{var r={};if(i!=null){for(var t in i){if(Object.prototype.hasOwnProperty.call(i,t))r[t]=i[t]}}r.default=i;return r}}var utils=exports.utils=_extends({},basicUtils,thirdPartyUtils,wikiUtils,tMapUtils);exports.default=utils;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/utils/utils.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/lib/utils/wiki": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/lib/utils/wiki",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.touch=exports.addTiddler=exports.getTiddlersByPrefix=exports.getTiddlerWithField=exports.getTiddlersWithField=exports.deleteByPrefix=exports.cp=exports.mv=exports.addTWlisteners=exports.getChildWidgetByProperty=exports.getMergedTiddlers=exports.isSystemOrDraft=exports.isDraft=exports.setText=exports.getText=exports.isLeftVersionGreater=exports.getEntry=exports.setEntry=exports.clone=exports.writeFieldData=exports.parseFieldData=exports.isPreviewed=exports.notify=exports.registerTransclude=exports.getElementNode=exports.getTiddlerNode=exports.getTranscludeNode=exports.isMatch=exports.getMatches=exports.moveFieldValues=exports.deleteTiddlers=exports.setField=exports.setSidebarTab=exports.tiddlerExists=exports.getField=exports.getTiddler=exports.getTiddlerRef=undefined;var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};var _exception=require(\"$:/plugins/felixhayashi/tiddlymap/js/exception\");var _basic=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/utils/basic\");var basicUtils=_interopRequireWildcard(_basic);function _interopRequireWildcard(e){if(e&&e.__esModule){return e}else{var t={};if(e!=null){for(var r in e){if(Object.prototype.hasOwnProperty.call(e,r))t[r]=e[r]}}t.default=e;return t}}function _defineProperty(e,t,r){if(t in e){Object.defineProperty(e,t,{value:r,enumerable:true,configurable:true,writable:true})}else{e[t]=r}return e}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/lib/utils/wiki\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var getTiddlerRef=exports.getTiddlerRef=function e(t){if(t instanceof $tw.Tiddler){return t.fields.title}else if(typeof t===\"string\"){return t}else{throw new _exception.InvalidArgumentException(t)}};var getTiddler=exports.getTiddler=function e(t){return $tw.wiki.getTiddler(t instanceof $tw.Tiddler?t.fields.title:t)};var getField=exports.getField=function e(t,r){var i=arguments.length>2&&arguments[2]!==undefined?arguments[2]:\"\";var d=getTiddler(t);return!d?i:d.fields[r]||i};var tiddlerExists=exports.tiddlerExists=function e(t){if(!t){return false}var r=getTiddlerRef(t);return Boolean(r&&($tw.wiki.tiddlerExists(r)||$tw.wiki.isShadowTiddler(r)))};var setSidebarTab=exports.setSidebarTab=function e(t){setText(getTiddlersByPrefix(\"$:/state/tab/sidebar-\")[0],t)};var setField=exports.setField=function e(t,r,i){if(!t||!r){return}var d=getTiddlerRef(t);var s=_defineProperty({title:d},r,i);var n=$tw.wiki.getTiddler(d,true);if(r!==\"text\"&&n&&!n.fields.text){s.text=\"\"}n=new $tw.Tiddler(n,s);$tw.wiki.addTiddler(n);return n};var deleteTiddlers=exports.deleteTiddlers=function e(t){var r=Object.keys(t);var i=$tw.wiki.getTiddlerList(\"$:/StoryList\");for(var d=r.length;d--;){var s=getTiddlerRef(t[r[d]]);if(!$tw.wiki.tiddlerExists(t[r[d]])){continue}var n=i.indexOf(s);if(n!==-1){i.splice(n,1);setField(\"$:/StoryList\",\"list\",i)}$tw.wiki.deleteTiddler(s)}};var moveFieldValues=exports.moveFieldValues=function e(t,r,i,d,s){if(t===r)return;var n=s||$tw.wiki.allTitles();for(var l=n.length;l--;){var a=getTiddler(n[l]);if(a.isDraft()||!a.fields[t]){continue}if(!d&&$tw.wiki.isSystemTiddler(n[l])){continue}var o=_defineProperty({},r,a.fields[t]);if(i){o[t]=undefined}$tw.wiki.addTiddler(new $tw.Tiddler(a,o))}};var getMatches=exports.getMatches=function e(t,r,i){var d=undefined;var s=$tw.wiki;if(typeof t===\"string\"){t=s.compileFilter(t)}if(r!=null&&(typeof r===\"undefined\"?\"undefined\":_typeof(r))===\"object\"){if(!Array.isArray(r)){r=Object.keys(r)}d=function e(t){for(var i=r.length;i--;){var d=s.getTiddler(r[i]);t(d,r[i])}}}return t.call(s,d,i)};var isMatch=exports.isMatch=function e(t,r){return getTiddlerRef(t)===getMatches(r,[getTiddlerRef(t)])[0]};var getTranscludeNode=exports.getTranscludeNode=function e(t,r){return{type:\"transclude\",attributes:{tiddler:{type:\"string\",value:getTiddlerRef(t)}},children:[],isBlock:!!r}};var getTiddlerNode=exports.getTiddlerNode=function e(t){return{type:\"tiddler\",attributes:{tiddler:{type:\"string\",value:getTiddlerRef(t)}},children:[]}};var getElementNode=exports.getElementNode=function e(t,r,i){return{type:\"element\",tag:t,attributes:{class:{type:\"string\",value:r}},children:i?[{type:\"text\",text:i}]:[]}};var registerTransclude=exports.registerTransclude=function e(t,r,i){basicUtils.removeArrayElement(t.children,t[r]);t[r]=t.makeChildWidget(getTranscludeNode(i,true));t.children.push(t[r]);return t[r]};var notify=exports.notify=function e(t){var r=\"$:/temp/tiddlymap/notify\";$tw.wiki.addTiddler(new $tw.Tiddler({title:r,text:t}));$tw.notifier.display(r)};var isPreviewed=exports.isPreviewed=function e(t){if(!t){return false}if(t.domNode.isTiddlyWikiFakeDom){return true}if(t.getVariable(\"tv-tiddler-preview\")){return true}else{var r=\"tc-tiddler-preview-preview\";return!!basicUtils.getAncestorWithClass(t.parentDomNode,r)}};var parseFieldData=exports.parseFieldData=function e(t){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:\"text\";var i=arguments[2];var d=getTiddler(t);if(!d){return i}return basicUtils.parseJSON(d.fields[r],i)};var writeFieldData=exports.writeFieldData=function e(t,r,i,d){if((typeof i===\"undefined\"?\"undefined\":_typeof(i))!==\"object\"){return}d=parseInt(d);d=d>0&&r===\"text\"?d:0;setField(t,r,JSON.stringify(i,null,d))};var clone=exports.clone=function e(t,r){setField(t,\"title\",r)};var setEntry=exports.setEntry=function e(t,r,i){$tw.wiki.setText(getTiddlerRef(t),null,r,i)};var getEntry=exports.getEntry=function e(t,r,i){var d=$tw.wiki.getTiddlerData(getTiddlerRef(t),{});return d[r]==null?i:d[r]};var isLeftVersionGreater=exports.isLeftVersionGreater=function e(t,r){return t!==r&&$tw.utils.checkVersions(t,r)};var getText=exports.getText=function e(t,r){return getField(t,\"text\",r)};var setText=exports.setText=function e(t,r){setField(t,\"text\",r)};var isDraft=exports.isDraft=function e(t){var r=getTiddler(t);return r&&r.isDraft()};var isSystemOrDraft=exports.isSystemOrDraft=function e(t){return $tw.wiki.isSystemTiddler(getTiddlerRef(t))||isDraft(t)};var getMergedTiddlers=exports.getMergedTiddlers=function e(t,r){if(!Array.isArray(t)){return}for(var i=t.length;i--;){t[i]=getTiddler(t[i])}if(!t.length){return}t.push({title:r||t[0].fields.title},$tw.wiki.getModificationFields(),$tw.wiki.getCreationFields());t.unshift(null);return new(Function.prototype.bind.apply($tw.Tiddler,t))};var getChildWidgetByProperty=exports.getChildWidgetByProperty=function e(t,r,i){var d=t.children;for(var s=d.length;s--;){var n=d[s];if(n[r]===i){return n}else{n=e(n,r,i);if(n){return n}}}};var addTWlisteners=exports.addTWlisteners=function e(t,r,i){for(var d in t){r.addEventListener(d,t[d].bind(i))}};var mv=exports.mv=function e(t,r,i,d){if(t===r||!t||!r){return}i=typeof i===\"boolean\"?i:false;d=typeof d===\"boolean\"?d:true;var s=getTiddlersByPrefix(t);var n=basicUtils.makeHashMap();for(var l=s.length;l--;){var a=s[l];var o=a.replace(t,r);if($tw.wiki.tiddlerExists(o)&&!i){return}n[a]=o}for(var f in n){setField(f,\"title\",n[f]);if(d){$tw.wiki.deleteTiddler(f)}}return n};var cp=exports.cp=function e(t,r,i){return mv(t,r,i,false)};var deleteByPrefix=exports.deleteByPrefix=function e(t,r){if(!t){return}r=r||$tw.wiki.allTitles();var i=[];for(var d=r.length;d--;){if(basicUtils.startsWith(r[d],t)){$tw.wiki.deleteTiddler(r[d]);i.push(i[d])}}return i};var getTiddlersWithField=exports.getTiddlersWithField=function e(t,r){var i=arguments.length>2&&arguments[2]!==undefined?arguments[2]:{};var d=i.tiddlers||$tw.wiki.allTitles();var s=i.isIncludeDrafts===true;var n=basicUtils.makeHashMap();var l=Object.keys(d);var a=$tw.utils.hop;var o=i.limit||0;for(var f=l.length;f--;){var u=getTiddler(d[l[f]]);var p=u.fields;if(a(p,t)&&(!a(p,\"draft.of\")||s)){if(!r||p[t]===r){n[p.title]=u;if(--o===0){break}}}}return n};var getTiddlerWithField=exports.getTiddlerWithField=function e(t,r){return Object.keys(getTiddlersWithField(t,r,{limit:1}))[0]};var getTiddlersByPrefix=exports.getTiddlersByPrefix=function e(t){var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};var i=r.removePrefix===true;var d=[];var s=$tw.wiki[r.iterator||\"each\"];s(function(e,r){if(basicUtils.startsWith(r,t)){d.push(i?basicUtils.getWithoutPrefix(r,t):r)}});return d};var addTiddler=exports.addTiddler=function e(t,r){var i=getTiddler(t);if(!r&&i){return i}i=new $tw.Tiddler({title:t,text:\"\"},$tw.wiki.getModificationFields(),$tw.wiki.getCreationFields());$tw.wiki.addTiddler(i);return i};var touch=exports.touch=function e(t){if(!t){return}var r=new $tw.Tiddler(getTiddler(t),$tw.wiki.getModificationFields());$tw.wiki.addTiddler(r)};\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/lib/utils/wiki.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/macro/tmap": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/macro/tmap",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.params=exports.name=exports.run=undefined;var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};/* @preserve TW-Guard */\n/*\\\ntitle: $:/plugins/felixhayashi/tiddlymap/js/macro/tmap\ntype: application/javascript\nmodule-type: macro\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _EdgeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeType\");var _EdgeType2=_interopRequireDefault(_EdgeType);var _ViewAbstraction=require(\"$:/plugins/felixhayashi/tiddlymap/js/ViewAbstraction\");var _ViewAbstraction2=_interopRequireDefault(_ViewAbstraction);var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}var name=\"tmap\";var params=getParamSlots(5);function run(){this.substVarRefs=this.substituteVariableReferences;var e=command[arguments[0]];var t=null;if(typeof e===\"function\"){var r=Array.prototype.slice.call(arguments,1);t=e.apply(this,r)}return typeof t===\"string\"?t:\"\"}function getParamSlots(e){var t=[];for(var r=0;r<e;r++){t.push({name:\"arg\"+r})}return t}var command=_utils2.default.makeHashMap();command.basename=function(e){var t=this.getVariable(\"currentTiddler\");return _utils2.default.getBasename(t,e)};command.datauri=function(e,t){return _utils2.default.getDataUri(e,t,true)};command.testJSON=function(e){var t=$tw.wiki.getTiddler(this.getVariable(\"currentTiddler\"));try{JSON.parse(t.fields[e]);return\"valid\"}catch(e){return\"malformed\"}};command.splitAndSelect=function(e,t){var r=this.getVariable(\"currentTiddler\");var a=r.split(e)[t];return a!=null?a:r};command.concat=function(){var e=\"\";for(var t=1,r=arguments.length;t<r;t++){e+=arguments[t]}return e};command.uuid=function(){return _utils2.default.genUUID()};command.regRepl=function(){var e=this.substVarRefs(arguments[0]);var t=arguments[1];var r=this.substVarRefs(arguments[2]);var a=this.substVarRefs(arguments[4]);return e.replace(new RegExp(t,a),r)};command.halfOfString=function(){var e=this.substVarRefs(arguments[0]);if(!e){return\"\"}return e.substr(0,Math.ceil(e.length/2))};command.isETyVisible=function(e,t){e=new _ViewAbstraction2.default(e);var r=command.getETyId.call(this,e,t);return\"\"+e.isEdgeTypeVisible(r)};command.getETyId=function(e,t){e=new _ViewAbstraction2.default(e);var r=_EdgeType2.default.getInstance(t||this.getVariable(\"currentTiddler\"));if(!r.namespace){var a=_EdgeType2.default.getIdParts(r.id),n=a.marker,i=a.name;var u=e.getConfig(\"edge_type_namespace\");r=_EdgeType2.default.getInstance(_EdgeType2.default.getId(n,u,i))}return r.id};command.scale=function(){var e=\"\";for(var t=1,r=parseInt(arguments[0]);t<r;t++){e+=\"[[\"+t+\"]]\"}return e};command.mergeFields=function(){var e=_utils2.default.getTiddler(arguments[0]);var t=arguments[1];var r=arguments[2]||\" \";if(!e)return;var a=_utils2.default.getPropertiesByPrefix(e.fields,t);var n=\"\";for(var i in a){if(typeof a[i]===\"string\"){n+=a[i]+r}}return n};command.option=function(e,t){if(typeof $tm==\"undefined\"){return\"\"}var r=$tm;var a=e.split(\".\");for(var n=0;n<a.length;n++){if((typeof r===\"undefined\"?\"undefined\":_typeof(r))==\"object\"&&r[a[n]]){r=r[a[n]]}}if(t&&typeof r===\"string\"&&_utils2.default.hasSubString(t)&&r.lastIndexOf(t)+t.length===r.length){r=r+t}return r};exports.run=run;exports.name=name;exports.params=params;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/macro/MapMacro.js.map\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/Adapter": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/Adapter",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};var _createClass=function(){function e(e,t){for(var i=0;i<t.length;i++){var r=t[i];r.enumerable=r.enumerable||false;r.configurable=true;if(\"value\"in r)r.writable=true;Object.defineProperty(e,r.key,r)}}return function(t,i,r){if(i)e(t.prototype,i);if(r)e(t,r);return t}}();/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/Adapter\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _ViewAbstraction=require(\"$:/plugins/felixhayashi/tiddlymap/js/ViewAbstraction\");var _ViewAbstraction2=_interopRequireDefault(_ViewAbstraction);var _EdgeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeType\");var _EdgeType2=_interopRequireDefault(_EdgeType);var _NodeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/NodeType\");var _NodeType2=_interopRequireDefault(_NodeType);var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _Edge=require(\"$:/plugins/felixhayashi/tiddlymap/js/Edge\");var _Edge2=_interopRequireDefault(_Edge);var _vis=require(\"$:/plugins/felixhayashi/vis/vis.js\");var _vis2=_interopRequireDefault(_vis);var _environment=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/environment\");var env=_interopRequireWildcard(_environment);var _contrastcolour=require(\"$:/core/modules/macros/contrastcolour.js\");function _interopRequireWildcard(e){if(e&&e.__esModule){return e}else{var t={};if(e!=null){for(var i in e){if(Object.prototype.hasOwnProperty.call(e,i))t[i]=e[i]}}t.default=e;return t}}function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _defineProperty(e,t,i){if(t in e){Object.defineProperty(e,t,{value:i,enumerable:true,configurable:true,writable:true})}else{e[t]=i}return e}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}var Adapter=function(){function e(t,i){_classCallCheck(this,e);this.getTiddlerById=t.getTiddlerById.bind(t);this.getId=t.getIdByTiddler.bind(t);this.assignId=t.assignId.bind(t);this.edgeTypeSubscriberRegistry=i;this.indeces=$tm.indeces;this.wiki=$tw.wiki;this.visShapesWithTextInside=_utils2.default.getLookupTable([\"ellipse\",\"circle\",\"database\",\"box\",\"text\"])}_createClass(e,[{key:\"deleteEdge\",value:function e(t){return this._processEdge(t,\"delete\")}},{key:\"insertEdge\",value:function e(t){return this._processEdge(t,\"insert\")}},{key:\"deleteEdges\",value:function e(t){t=_utils2.default.convert(t,\"array\");for(var i=t.length;i--;){this.deleteEdge(t[i])}}},{key:\"_processEdge\",value:function e(t,i){$tm.logger(\"debug\",\"Edge\",i,t);var r=this.getTiddlerById(t.from);if(!r||!_utils2.default.tiddlerExists(r)){return}var a=_utils2.default.getTiddler(r);var s=this.indeces.allETy[t.type]||_EdgeType2.default.getInstance(t.type);var l=this.edgeTypeSubscriberRegistry.getAllForType(s);var n=i+\"Edge\";for(var d=l.length;d--;){l[d][n](a,t,s)}if(i===\"insert\"&&!s.exists()){s.save()}return t}},{key:\"getAdjacencyList\",value:function e(t){var i=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};$tm.start(\"Creating adjacency list\");if(!i.edges){var r=_utils2.default.getMatches(env.selector.allPotentialNodes);i.edges=this.getEdgesForSet(r,i.toWL,i.typeWL)}var a=_utils2.default.groupByProperty(i.edges,t||\"to\");$tm.stop(\"Creating adjacency list\");return a}},{key:\"getNeighbours\",value:function e(t){var i=this;var r=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};$tm.start(\"Get neighbours\");var a=r.addProperties,s=r.toWL,l=r.typeWL,n=r.steps;var d=this.indeces.allETy;var o=_utils2.default.getArrayValuesAsHashmapKeys(t);var u=_ViewAbstraction2.default.exists(r.view)?new _ViewAbstraction2.default(r.view):null;var f=_utils2.default.makeHashMap();var g=_utils2.default.makeHashMap();var c=parseInt(n)>0?n:1;var v=r.direction||u&&u.getConfig(\"neighbourhood_directions\");var y=!v||v===\"both\";var h=y||v===\"in\";var p=y||v===\"out\";var _=u&&\"[all[]] \"+u.getNodeFilter(\"raw\");var b=this.getAdjacencyList(\"to\",r);var m=function e(t,r,s){f[t.id]=t;var l=i.getTiddlerById(t[r]);if(u&&_utils2.default.isTrue($tm.config.sys.nodeFilterNeighbours)&&!_utils2.default.isMatch(l,_)){return}if(!o[l]){o[l]=true;var n=i.makeNode(l,a);if(n){g[n.id]=n;s.push(l)}}};var w=void 0;for(w=0;w<c&&t.length;w++){var T=[];for(var k=t.length;k--;){if(_utils2.default.isSystemOrDraft(t[k])){continue}var E=this.getEdges(t[k],s,l);for(var N in E){var A=d[E[N].type];if(y||p&&A.toArrow||h&&A.invertedArrow){m(E[N],\"to\",T)}}var I=b[this.getId(t[k])];if(!I){continue}for(var x=I.length;x--;){var j=d[I[x].type];if(y||h&&j.toArrow||p&&j.invertedArrow){m(I[x],\"from\",T)}}}t=T}var S={nodes:g,edges:f};$tm.logger(\"debug\",\"Retrieved neighbourhood\",S,\"steps\",w);$tm.stop(\"Get neighbours\");return S}},{key:\"getGraph\",value:function e(t){var i=t.view,r=t.matches,a=t.includeNeighboursOf;$tm.start(\"Assembling Graph\");i=new _ViewAbstraction2.default(i);r=r||_utils2.default.getMatches(i.getNodeFilter(\"compiled\"));var s=parseInt(i.getConfig(\"neighbourhood_scope\"));var l=i.getEdgeTypeFilter(\"whitelist\");var n=_utils2.default.getArrayValuesAsHashmapKeys(r);var d={edges:this.getEdgesForSet(r,n,l),nodes:this.selectNodesByReferences(r,{view:i,outputType:\"hashmap\"})};if(s){var o=a?r.filter(a):r;var u=this.getNeighbours(o,{steps:s,view:i,typeWL:l,addProperties:{type:\"tmap:neighbour\"}});Object.assign(d.nodes,u.nodes);Object.assign(d.edges,u.edges);if(i&&i.isEnabled(\"show_inter_neighbour_edges\")){var f=this.getTiddlersByIds(u.nodes);var g=_utils2.default.getArrayValuesAsHashmapKeys(f);Object.assign(d.edges,this.getEdgesForSet(f,g))}}this.attachStylesToNodes(d.nodes,i);$tm.stop(\"Assembling Graph\");$tm.logger(\"debug\",\"Assembled graph:\",d);return d}},{key:\"getEdges\",value:function e(t,i,r){var a=_utils2.default.getTiddler(t);if(!a||_utils2.default.isSystemOrDraft(a)){return}var s=this.indeces.allETy;var l=_utils2.default.makeHashMap();var n=this.edgeTypeSubscriberRegistry.getAll();for(var d=0,o=n.length;d<o;d++){Object.assign(l,n[d].loadEdges(a,i,r))}for(var u in l){var f=l[u];if(!f.from||!f.to){continue}var g=s[f.type]||_EdgeType2.default.getInstance(f.type);addStyleToEdge(l[u],g);l[u]=f}return l}},{key:\"getEdgesForSet\",value:function e(t,i,r){var a=_utils2.default.makeHashMap();for(var s=t.length;s--;){Object.assign(a,this.getEdges(t[s],i,r))}return a}},{key:\"selectEdgesByType\",value:function e(t){var i=_utils2.default.makeHashMap(_defineProperty({},_EdgeType2.default.getInstance(t).id,true));return this.getEdgesForSet(this.getAllPotentialNodes(),null,i)}},{key:\"getAllPotentialNodes\",value:function e(){return _utils2.default.getMatches($tm.selector.allPotentialNodes)}},{key:\"_processEdgesWithType\",value:function e(t,i){var r=i.action,a=i.newName;t=_EdgeType2.default.getInstance(t);$tm.logger(\"debug\",\"Processing edges\",t,r);var s=this.selectEdgesByType(t);if(r===\"rename\"){new _EdgeType2.default(a,t).save()}for(var l in s){this._processEdge(s[l],\"delete\");if(r===\"rename\"){s[l].type=a;this._processEdge(s[l],\"insert\")}}this.wiki.deleteTiddler(t.fullPath)}},{key:\"selectNodesByReferences\",value:function e(t){var i=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{},r=i.addProperties,a=i.outputType;var s=_utils2.default.makeHashMap();var l=Object.keys(t);for(var n=l.length;n--;){var d=this.makeNode(t[l[n]],r);if(d){s[d.id]=d}}return _utils2.default.convert(s,a)}},{key:\"selectNodesByIds\",value:function e(t,i){var r=this.getTiddlersByIds(t);return this.selectNodesByReferences(r,i)}},{key:\"selectNodeById\",value:function e(t,i){i=Object.assign({},i,{outputType:\"hashmap\"});var r=this.selectNodesByIds([t],i);return r[t]}},{key:\"removeNodeType\",value:function e(t){t=_NodeType2.default.getInstance(t);this.wiki.deleteTiddler(t.fullPath)}},{key:\"makeNode\",value:function e(t,i){var r=_utils2.default.getTiddler(t);if(!r||_utils2.default.isSystemOrDraft(r))return;var a=_utils2.default.merge({},i);a.id=this.assignId(r);a.tRef=r.fields.title;var s=r.fields[$tm.field.nodeLabel];a.label=(s&&$tm.field.nodeLabel!==\"title\"?this.wiki.renderText(\"text/plain\",\"text/vnd-tiddlywiki\",s):r.fields.title).replace(\"\\\\n\",\"\\n\");return a}},{key:\"getInheritedNodeStyles\",value:function e(t){var i=this.getTiddlersByIds(t);var r={};var a=this.indeces.glNTy;for(var s=a.length;s--;){var l=a[s];var n=[];if(l.id===\"tmap:neighbour\"){for(var d in t){if(t[d].type===\"tmap:neighbour\"){n.push(this.getTiddlerById(d))}}}else{n=l.getInheritors(i)}for(var o=n.length;o--;){var u=n[o];var f=r[u]=r[u]||{};f.style=_utils2.default.merge(f.style||{},l.style);if(l[\"fa-icon\"]){f[\"fa-icon\"]=l[\"fa-icon\"]}else if(l[\"tw-icon\"]){f[\"tw-icon\"]=l[\"tw-icon\"]}}}return r}},{key:\"attachStylesToNodes\",value:function e(t,i){i=_ViewAbstraction2.default.exists(i)?new _ViewAbstraction2.default(i):null;var r=this.getInheritedNodeStyles(t);var a=i?i.getNodeData():_utils2.default.makeHashMap();var s=i&&!i.isEnabled(\"physics_mode\");for(var l in t){var n=this.getTiddlerById(l);var d=this.wiki.getTiddler(n);var o=d.fields;var u=t[l];var f=void 0;var g=r[n];if(g){_utils2.default.merge(u,g.style);f=getIcon(g[\"fa-icon\"],g[\"tw-icon\"])}if(o.color){u.color=o.color}if(o[\"tmap.style\"]){_utils2.default.merge(u,_utils2.default.parseJSON(o[\"tmap.style\"]))}f=getIcon(o[\"tmap.fa-icon\"],o[\"icon\"])||f;var c=a[l];if(c){_utils2.default.merge(u,c);if(s){u.fixed={x:u.x!=null,y:u.y!=null}}f=getIcon(c[\"fa-icon\"],c[\"tw-icon\"])||f}var v=u.color!==null&&_typeof(u.color)===\"object\";var y=v?u.color.background:u.color;u.color={background:y,border:v?u.color.border:undefined};addNodeIcon(u,f);u.font=u.font||{};if(u.shape&&!this.visShapesWithTextInside[u.shape]){u.font.color=\"black\"}else if(!u.font.color&&y){u.font.color=(0,_contrastcolour.run)(y,y,\"black\",\"white\")}if(u.shape===\"icon\"){u.label=\"\\n\"+u.label;if(_typeof(u.icon)===\"object\"){u.icon.color=y}}}if(i){var h=t[i.getConfig(\"central-topic\")];if(h){_utils2.default.merge(h,this.indeces.glNTyById[\"tmap:central-topic\"].style)}}}},{key:\"deleteNode\",value:function e(t){if(!t){return}var i=(typeof t===\"undefined\"?\"undefined\":_typeof(t))===\"object\"?t.id:t;var r=this.getTiddlerById(i);if(r){_utils2.default.deleteTiddlers([r])}var a=_utils2.default.getMatches(env.selector.allViews);for(var s=a.length;s--;){var l=new _ViewAbstraction2.default(a[s]);l.removeNode(i)}var n=this.getNeighbours([r]);this.deleteEdges(n.edges)}},{key:\"deleteNodes\",value:function e(t){for(var i=t.length;i--;){this.deleteNode(t[i])}}},{key:\"insertNode\",value:function e(){var t=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{};var i=arguments[1];var r=arguments[2];t.label=this.wiki.generateNewTitle(t.label||_utils2.default.getRandomLabel());var a=new $tw.Tiddler({text:\"\"},r,{title:t.label,\"tmap.id\":null},this.wiki.getModificationFields(),this.wiki.getCreationFields());this.wiki.addTiddler(a);t=this.makeNode(a,t);if(_ViewAbstraction2.default.exists(i)){new _ViewAbstraction2.default(i).addNode(t)}return t}},{key:\"getTiddlersByIds\",value:function e(t){if(Array.isArray(t)){t=_utils2.default.getArrayValuesAsHashmapKeys(t)}else if(t instanceof _vis2.default.DataSet){t=_utils2.default.getLookupTable(t,\"id\")}var i=[];for(var r in t){var a=this.getTiddlerById(r);if(a){i.push(a)}}return i}}]);return e}();var getFAdigits=function e(t){return t.length===4?t:t.substr(3,4)};var addNodeIcon=function e(t,i){if(!i){return}if(i.fa){t.shape=\"icon\";t.icon={shape:\"icon\",face:\"FontAwesome\",color:t.color,code:String.fromCharCode(\"0x\"+getFAdigits(i.fa))};if(t.size){t.icon.size=t.size}return}if(i.tw){var r=_utils2.default.getTiddler(i.tw);if(!r){return}if(r.fields[\"_canonical_uri\"]){t.image=r.fields[\"_canonical_uri\"];t.shape=\"image\"}else if(r.fields.text){t.image=_utils2.default.getDataUri(r);t.shape=\"image\"}}};var removeObsoleteViewData=function e(t,i){if(!_ViewAbstraction2.default.exists(i)||!t){return}i=new _ViewAbstraction2.default(i);var r=i.getNodeData();var a=0;for(var s in r){if(t[s]===undefined&&r[s]!=null){r[s]=undefined;a++}}if(a){$tm.logger(\"debug\",\"[Cleanup]\",\"Removed obsolete node data:\",i.getLabel(),a);i.saveNodeData(r)}};var addStyleToEdge=function e(t,i){t=Object.assign(t,i.style);if(_utils2.default.isTrue(i[\"show-label\"],true)){t.label=i.getLabel()}};var getIcon=function e(t,i){return t&&{fa:t}||i&&{tw:i}};exports.default=Adapter;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/services/Adapter.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/CallbackManager": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/CallbackManager",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function e(e,t){for(var a=0;a<t.length;a++){var l=t[a];l.enumerable=l.enumerable||false;l.configurable=true;if(\"value\"in l)l.writable=true;Object.defineProperty(e,l.key,l)}}return function(t,a,l){if(a)e(t.prototype,a);if(l)e(t,l);return t}}();/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/CallbackManager\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}var CallbackManager=function(){function e(){_classCallCheck(this,e);this.callbacks=_utils2.default.makeHashMap();this.logger=$tm.logger;this.wiki=$tw.wiki}_createClass(e,[{key:\"add\",value:function e(t,a){var l=arguments.length>2&&arguments[2]!==undefined?arguments[2]:true;this.logger(\"debug\",'A callback was registered for changes of \"'+t+'\"');this.callbacks[t]={execute:a,isDeleteOnCall:l}}},{key:\"remove\",value:function e(t){if(!t){return}if(typeof t===\"string\"){t=[t]}for(var a=t.length;a--;){var l=t[a];if(this.callbacks[l]){this.logger(\"debug\",'Deleting callback for \"'+l+'\"');delete this.callbacks[l]}}}},{key:\"refresh\",value:function e(t){if(this.callbacks.length==0){return}for(var a in t){if(!this.callbacks[a]){continue}if(this.wiki.getTiddler(a)){this.logger(\"debug\",\"Executing a callback for: \"+a);this.callbacks[a].execute(a);if(!this.callbacks.isDeleteOnCall){continue}}this.remove(a)}}}]);return e}();exports.default=CallbackManager;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/services/CallbackManager.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/startup/caretaker": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/startup/caretaker",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.startup=exports.synchronous=exports.before=exports.after=exports.platforms=exports.name=undefined;var _rebuilders;var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var r=arguments[t];for(var i in r){if(Object.prototype.hasOwnProperty.call(r,i)){e[i]=r[i]}}}return e};/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/startup/caretaker\ntype: application/javascript\nmodule-type: startup\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _vis=require(\"$:/plugins/felixhayashi/tiddlymap/js/config/vis\");var _vis2=_interopRequireDefault(_vis);var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _Fixer=require(\"$:/plugins/felixhayashi/tiddlymap/js/Fixer\");var _Fixer2=_interopRequireDefault(_Fixer);var _Adapter=require(\"$:/plugins/felixhayashi/tiddlymap/js/Adapter\");var _Adapter2=_interopRequireDefault(_Adapter);var _tracker=require(\"$:/plugins/felixhayashi/tiddlymap/js/services/tracker\");var _tracker2=_interopRequireDefault(_tracker);var _EdgeTypeSubscriberRegistry=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeTypeSubscriberRegistry\");var _EdgeTypeSubscriberRegistry2=_interopRequireDefault(_EdgeTypeSubscriberRegistry);var _DialogManager=require(\"$:/plugins/felixhayashi/tiddlymap/js/DialogManager\");var _DialogManager2=_interopRequireDefault(_DialogManager);var _CallbackManager=require(\"$:/plugins/felixhayashi/tiddlymap/js/CallbackManager\");var _CallbackManager2=_interopRequireDefault(_CallbackManager);var _ViewAbstraction=require(\"$:/plugins/felixhayashi/tiddlymap/js/ViewAbstraction\");var _ViewAbstraction2=_interopRequireDefault(_ViewAbstraction);var _EdgeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeType\");var _EdgeType2=_interopRequireDefault(_EdgeType);var _NodeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/NodeType\");var _NodeType2=_interopRequireDefault(_NodeType);var _vis3=require(\"$:/plugins/felixhayashi/vis/vis.js\");var _vis4=_interopRequireDefault(_vis3);var _environment=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/environment\");var env=_interopRequireWildcard(_environment);var _URL=require(\"$:/plugins/felixhayashi/tiddlymap/js/URL\");var _URL2=_interopRequireDefault(_URL);function _interopRequireWildcard(e){if(e&&e.__esModule){return e}else{var t={};if(e!=null){for(var r in e){if(Object.prototype.hasOwnProperty.call(e,r))t[r]=e[r]}}t.default=e;return t}}function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _defineProperty(e,t,r){if(t in e){Object.defineProperty(e,t,{value:r,enumerable:true,configurable:true,writable:true})}else{e[t]=r}return e}var init=function e(){window.$tm=_extends({},env,{utils:_utils2.default,url:new _URL2.default(window.location.href)});cleanup();registerPublicClasses($tm);updateGlobals($tm);createMetaFile($tm.logger);var t=attachIndeces($tm);var r=getInitializedServices(t);Object.assign($tm,r);loadDefaultView($tm.config.sys.defaultView);r.fixer.fix();$tm.registry=[];setInterval(routineCheck,5e3);registerChangeListener($tm.callbackManager);registerMousemoveListener();registerClickListener();if($tm.url.query[\"tmap-enlarged\"]){prepareFullscreenStart($tm.url)}$tm.logger(\"warn\",\"TiddlyMap's caretaker successfully started\")};var getInitializedServices=function e(t){var r=new _tracker2.default(d);var i=$tw.modules.applyMethods(\"tmap.edgetypehandler\");var a=new _EdgeTypeSubscriberRegistry2.default(i,t.allETy,r);var s=new _Adapter2.default(r,a);var l=new _CallbackManager2.default;var n=new _DialogManager2.default(l);var d=new _Fixer2.default(s,$tm.logger,t.glNTy);return{edgeTypeSubscriberRegistry:a,tracker:r,adapter:s,callbackManager:l,dialogManager:n,fixer:d}};var registerPublicClasses=function e(t){t.keycharm=_vis4.default.keycharm;t.NodeType=_NodeType2.default;t.EdgeType=_EdgeType2.default;t.ViewAbstraction=_ViewAbstraction2.default};var attachOptions=function e(t){var r=t;if(!r.config)r.config=_utils2.default.makeHashMap();r.config.sys=_utils2.default.merge(r.config.sys,_utils2.default.unflatten($tw.wiki.getTiddlerData(env.ref.sysUserConf)));r.config.vis=_utils2.default.merge({},_vis2.default,_utils2.default.parseFieldData(env.ref.visUserConf));if(!r.field)r.field=_utils2.default.makeHashMap();$tw.utils.extend(r.field,r.config.sys.field)};var attachIndeces=function e(t){$tm.start(\"Attaching Indeces\");t.indeces=t.indeces||{};updateNodeTypesIndeces(t.indeces);updateEdgeTypesIndeces(t.indeces);$tm.stop(\"Attaching Indeces\");return t.indeces};var updateNodeTypesIndeces=function e(t){t=t||$tm.indeces;var r=$tm.path.nodeTypes;var i=t.glNTy=[];var a=t.glNTyById=_utils2.default.makeHashMap();$tw.wiki.eachTiddlerPlusShadows(function(e,t){if(_utils2.default.startsWith(t,r)){var s=_NodeType2.default.getInstance(t);a[s.id]=s;i.push(s)}});i.sort(function(e,t){return e.priority-t.priority})};var updateEdgeTypesIndeces=function e(t){t=t||$tm.indeces;var r=$tm.path.edgeTypes;var i=t.allETy=_utils2.default.makeHashMap();$tw.wiki.eachTiddlerPlusShadows(function(e,t){if(_utils2.default.startsWith(t,r)){var a=_EdgeType2.default.getInstance(t);i[a.id]=a}});if($tm.edgeTypeSubscriberRegistry){$tm.edgeTypeSubscriberRegistry.updateIndex(i)}};var attachFunctions=function e(t){var r=t;var i=function e(){};if(_utils2.default.isTrue($tm.config.sys.debug,false)&&console){r.logger=function(){if(arguments.length<2)return;var e=Array.prototype.slice.call(arguments);var t=e.shift(e);var r=console.hasOwnProperty(t)?t:\"debug\";console[r].apply(console,e)};r.start=function(e){console.time(\"[timer] \"+e)};r.stop=function(e){console.timeEnd(\"[timer] \"+e)}}else{r.logger=r.start=r.stop=i}r.notify=_utils2.default.isTrue($tm.config.sys.notifications)?_utils2.default.notify:i};var routineCheck=function e(){for(var t=$tm.registry.length;t--;){var r=$tm.registry[t];if(!r.destruct||!r.isZombieWidget)return;if(r.isZombieWidget()){$tm.logger(\"warn\",\"a widget will be removed\");$tm.registry.splice(t,1);r.destruct()}}};var dispatchUpdates=function e(t){var r=$tm.registry;for(var i=r.length;i--;){var a=r[i];if(a.update&&a.isZombieWidget&&!a.isZombieWidget()){a.update(t)}}};var checkForClone=function e(t){var r=_utils2.default.getDublicates(t);if(!r.length){return}_utils2.default.setField(t,\"tmap.edges\",undefined);$tm.tracker.assignId(t,true);$tm.dialogManager.open(\"dublicateIdInfo\",{param:{changedTiddler:t.fields.title,filter:_utils2.default.joinAndWrap(r,\"[[\",\"]]\"),id:_utils2.default.getId(t)}})};var updateGlobals=function e(t){attachOptions($tm);attachFunctions($tm);$tm.logger(\"warn\",\"Rebuilt globals\")};var lastCurrentTiddler=null;var updateLiveViewTrigger=function e(t){if(t[\"$:/HistoryList\"]){var r=_utils2.default.getField(\"$:/HistoryList\",\"current-tiddler\")}else if(t[\"$:/temp/focussedTiddler\"]){var r=_utils2.default.getField(\"$:/temp/focussedTiddler\",\"text\")}if(r!=null&&lastCurrentTiddler!==r){lastCurrentTiddler=r;_utils2.default.setField(\"$:/temp/tmap/currentTiddler\",\"text\",r)}};var printChanges=function e(t,r){if(!_utils2.default.isTrue($tm.config.sys.debug,false))return;$tm.logger(\"warn\",\"=== Refresh \"+r+\" ===\");for(var i in t){var a=t[i].deleted?\"[Deleted]\":\"[Modified]\";$tm.logger(\"warn\",a,i,$tw.wiki.getTiddler(i))}};var registerMousemoveListener=function e(){$tm.mouse={};var t=function e(t){$tm.mouse=t};window.addEventListener(\"mousemove\",t,false)};var registerClickListener=function e(){var t=$tm.path.tempPopups;window.addEventListener(\"click\",function(e){var r=_utils2.default.getTiddlersByPrefix(t);for(var i=r.length;i--;){if(_utils2.default.getText(r[i]))break}if(i===-1)return;if(!$tw.utils.hasClass(e.target,\"tc-drop-down\")&&!_utils2.default.getAncestorWithClass(e.target,\"tc-drop-down\")){for(var i=r.length;i--;){_utils2.default.setText(r[i],\"\")}}},false)};var registerChangeListener=function e(t){var r=0;$tw.wiki.addEventListener(\"change\",function(e){$tm.start(\"Caretaker handling changes\");printChanges(e,r++);t.refresh(e);var i={changedTiddlers:{}};for(var a in e){var s=_utils2.default.getTiddler(a);if(s&&s.isDraft()){continue}var l=handleTiddlerChange(a,s,i);if(l){i.changedTiddlers[a]=e[a]}}dispatchUpdates(i);updateLiveViewTrigger(e);$tm.stop(\"Caretaker handling changes\")})};var rebuilders=(_rebuilders={},_defineProperty(_rebuilders,env.path.options,updateGlobals),_defineProperty(_rebuilders,env.path.nodeTypes,updateNodeTypesIndeces),_defineProperty(_rebuilders,env.path.edgeTypes,updateEdgeTypesIndeces),_rebuilders);var handleTiddlerChange=function e(t,r,i){if($tw.wiki.isSystemTiddler(t)){for(var a in rebuilders){if(_utils2.default.startsWith(t,a)&&!i[a]){$tm.logger(\"warn\",\"[System change]\",a);rebuilders[a]();i[a]=true}}}else if(r){if(r.fields.text===undefined){$tw.wiki.dispatchEvent(\"lazyLoad\",t);return false}checkForClone(r);$tm.tracker.assignId(r)}else{var s=$tm.tracker.getIdByTiddler(t);if(!s){return false}var l=_utils2.default.getTiddlerWithField(\"tmap.id\",s);if(l){$tm.logger(\"warn\",\"[Renamed]\",t,\"into\",l)}else{$tm.adapter.deleteNode(s)}}return true};var cleanup=function e(){_utils2.default.deleteByPrefix(\"$:/temp/felixhayashi\");_utils2.default.deleteByPrefix(\"$:/temp/tiddlymap\");_utils2.default.deleteByPrefix(\"$:/temp/tmap\")};var loadDefaultView=function e(t){if(!t){return}var r=_utils2.default.getTiddler(env.ref.defaultViewHolder);if(r.fields.text===$tm.config.sys.defaultView){return}_utils2.default.setText(env.ref.defaultViewHolder,$tm.config.sys.defaultView)};var prepareFullscreenStart=function e(t){var r=env.ref,i=r.mainEditor,a=r.defaultViewHolder;_utils2.default.setSidebarTab(i);if(_ViewAbstraction2.default.exists(t)){t=new _ViewAbstraction2.default(t);_utils2.default.setField(a,\"text\",t.getLabel())}};var createMetaFile=function e(t){if(_utils2.default.tiddlerExists(env.ref.sysMeta)){return}t(\"warn\",\"Creating meta file\");var r=$tw.wiki.getTiddler(env.path.pluginRoot);$tw.wiki.setTiddlerData(env.ref.sysMeta,{originalVersion:r.fields.version,dataStructureState:\"0.6.9\",showWelcomeMessage:true})};var name=exports.name=\"tmap.caretaker\";var platforms=exports.platforms=[\"browser\"];var after=exports.after=[\"startup\"];var before=exports.before=[\"rootwidget\"];var synchronous=exports.synchronous=true;var startup=exports.startup=init;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/services/Caretaker.js.map\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/DialogManager": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/DialogManager",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function e(e,t){for(var a=0;a<t.length;a++){var l=t[a];l.enumerable=l.enumerable||false;l.configurable=true;if(\"value\"in l)l.writable=true;Object.defineProperty(e,l.key,l)}}return function(t,a,l){if(a)e(t.prototype,a);if(l)e(t,l);return t}}();/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/DialogManager\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _CallbackManager=require(\"$:/plugins/felixhayashi/tiddlymap/js/CallbackManager\");var _CallbackManager2=_interopRequireDefault(_CallbackManager);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}var DialogManager=function(){function e(t,a){_classCallCheck(this,e);this.callbackManager=t;this.context=a}_createClass(e,[{key:\"open\",value:function t(a){var l=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};var i=arguments[2];if(_utils2.default.isTrue($tm.config.sys.suppressedDialogs[a],false)){$tm.logger(\"warning\",\"Suppressed dialog\",a);return}$tm.logger(\"debug\",\"Dialog param object\",l);if(typeof i===\"function\"&&this.context){i=i.bind(this.context)}var r=$tm.path.tempRoot+\"/dialog-\"+_utils2.default.genUUID();var n=_utils2.default.getTiddler($tm.path.dialogs+\"/\"+a);var u={title:r,buttons:n.fields[\"buttons\"]||\"ok_cancel\",classes:\"tmap-modal-content \"+n.fields[\"classes\"],output:r+\"/output\",result:r+\"/result\",temp:r+\"/temp\",template:n.fields.title,templateId:a,currentTiddler:r+\"/output\",text:_utils2.default.getText($tm.path.dialogs)};_utils2.default.touch(u.output);if(l.dialog){if(l.dialog.preselects){$tw.wiki.addTiddler(new $tw.Tiddler({title:u.output},_utils2.default.flatten(l.dialog.preselects)));delete l.dialog.preselects}_utils2.default.merge(u,l.dialog)}u.footer=_utils2.default.getText($tm.path.footers);u=_utils2.default.flatten(u);l=_utils2.default.flatten(l);var s=function t(a){e.getElement(\"hidden-close-button\").click();var l=$tw.wiki.getTiddler(a);var n=l.fields.text;var s=null;if(n){s=$tw.wiki.getTiddler(u.output)}else{$tm.notify(\"operation cancelled\")}if(typeof i===\"function\"){i(n,s)}_utils2.default.deleteByPrefix(r)};this.callbackManager.add(u.result,s,true);var o=new $tw.Tiddler(n,l,u);$tw.wiki.addTiddler(o);$tm.logger(\"debug\",\"Opening dialog\",o);$tw.rootWidget.dispatchEvent({type:\"tm-modal\",param:o.fields.title,paramObject:o.fields});e.addKeyBindings();return o}}],[{key:\"getElement\",value:function e(t){return _utils2.default.getFirstElementByClassName(\"tmap-\"+t)}},{key:\"addKeyBindings\",value:function t(){var a=$tm.keycharm({container:_utils2.default.getFirstElementByClassName(\"tc-modal\")});var l=/tmap-triggers-(.+?)-on-(.+?)(?:\\s|$)/;var i=document.getElementsByClassName(\"tmap-trigger-field\");var r=function t(r){var n=i[r].className.split(\" \");var u=function t(i){var r=n[i].match(l);if(!r){return\"continue\"}var u=r[1];var s=r[2];var o=e.getElement(u);if(!o){return\"continue\"}a.bind(s,function(){if(document.getElementsByClassName(n[i]).length){o.click()}})};for(var s=n.length;s--;){var o=u(s);if(o===\"continue\")continue}};for(var n=i.length;n--;){r(n)}}}]);return e}();exports.default=DialogManager;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/services/DialogManager.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/Fixer": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/Fixer",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};var _createClass=function(){function e(e,t){for(var i=0;i<t.length;i++){var r=t[i];r.enumerable=r.enumerable||false;r.configurable=true;if(\"value\"in r)r.writable=true;Object.defineProperty(e,r.key,r)}}return function(t,i,r){if(i)e(t.prototype,i);if(r)e(t,r);return t}}();/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/Fixer\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _ViewAbstraction=require(\"$:/plugins/felixhayashi/tiddlymap/js/ViewAbstraction\");var _ViewAbstraction2=_interopRequireDefault(_ViewAbstraction);var _EdgeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeType\");var _EdgeType2=_interopRequireDefault(_EdgeType);var _NodeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/NodeType\");var _NodeType2=_interopRequireDefault(_NodeType);var _environment=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/environment\");var env=_interopRequireWildcard(_environment);function _interopRequireWildcard(e){if(e&&e.__esModule){return e}else{var t={};if(e!=null){for(var i in e){if(Object.prototype.hasOwnProperty.call(e,i))t[i]=e[i]}}t.default=e;return t}}function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}var Fixer=function(){function e(t,i,r){_classCallCheck(this,e);this.adapter=t;this.logger=i;this.wiki=$tw.wiki;this.glNTy=r}_createClass(e,[{key:\"moveEdges\",value:function e(t,i){var r=_utils2.default.getTiddlersByPrefix(t);for(var a=0;a<r.length;a++){var u=_utils2.default.getBasename(r[a]);if(u===\"__noname__\"){u=\"tmap:unknown\"}u=_EdgeType2.default.getInstance(u);if(!u.exists()){u.save()}var n=this.wiki.getTiddlerData(r[a]);for(var s=0;s<n.length;s++){n[s].type=(i?i+\":\":\"\")+u.id;this.adapter.insertEdge(n[s])}this.wiki.deleteTiddler(r[a])}}},{key:\"executeUpgrade\",value:function e(t,i,r){if(!_utils2.default.isLeftVersionGreater(t,i)){return}this.logger(\"debug\",\"Upgrading data structure to \"+t);var a=r();_utils2.default.setEntry(env.ref.sysMeta,\"dataStructureState\",t);return a}},{key:\"fixId\",value:function e(){var t=this.wiki.getTiddlerData(env.ref.sysMeta,{});this.executeUpgrade(\"0.9.2\",t.dataStructureState,function(){if(_utils2.default.isLeftVersionGreater(\"0.9.2\",t.originalVersion)){var e=\"$:/plugins/felixhayashi/tiddlymap/config/sys/user\";var i=_utils2.default.getEntry(e,\"field.nodeId\",\"tmap.id\");_utils2.default.moveFieldValues(i,\"tmap.id\",true,false)}})}},{key:\"fix\",value:function e(){var t=this;var i=this.wiki.getTiddlerData(env.ref.sysMeta,{});this.logger(\"debug\",\"Fixer is started\");this.logger(\"debug\",\"Data-structure currently in use: \",i.dataStructureState);this.executeUpgrade(\"0.7.0\",i.dataStructureState,function(){t.moveEdges(\"$:/plugins/felixhayashi/tiddlymap/graph/edges\",null);var e=env.selector.allViews;var i=_utils2.default.getMatches(e);for(var r=0;r<i.length;r++){var a=new _ViewAbstraction2.default(i[r]);t.moveEdges(a.getRoot()+\"/graph/edges\",a)}});this.executeUpgrade(\"0.7.32\",i.dataStructureState,function(){if(!_ViewAbstraction2.default.exists(\"Live View\")){return}var e=new _ViewAbstraction2.default(\"Live View\");e.setNodeFilter(\"[field:title{$:/temp/tmap/currentTiddler}]\",true);e.setConfig({\"refresh-trigger\":null,\"refresh-triggers\":$tw.utils.stringifyList([\"$:/temp/tmap/currentTiddler\"])})});this.executeUpgrade(\"0.9.0\",i.dataStructureState,function(){var e=env.ref.visUserConf;var i=_utils2.default.unflatten(t.wiki.getTiddlerData(e,{}));if(_typeof(i.groups)===\"object\"){var r=_NodeType2.default.getInstance(\"tmap:neighbour\");r.setStyle(i.groups[\"neighbours\"]);r.save();delete i.groups;t.wiki.setTiddlerData(e,i)}});this.fixId();this.executeUpgrade(\"0.9.16\",i.dataStructureState,function(){for(var e=t.glNTy.length;e--;){t.glNTy[e].save(null,true)}});this.executeUpgrade(\"0.10.3\",i.dataStructureState,function(){var e=env.ref.liveTab;if(_utils2.default.getTiddler(e).hasTag(\"$:/tags/SideBar\")){this.wiki.deleteTiddler(e);_utils2.default.setField(e,\"tags\",\"$:/tags/SideBar\")}});this.executeUpgrade(\"0.11.0\",i.dataStructureState,function(){var e=_utils2.default.getMatches(env.selector.allViews);for(var t=e.length;t--;){var i=new _ViewAbstraction2.default(e[t]);var r=i.getEdgeTypeFilter(\"raw\");var a=\"edge_type_namespace\";i.setConfig(a,i.getConfig(a));var u=env.filter.defaultEdgeTypeFilter;if(r){var n=env.path.edgeTypes;r=_utils2.default.replaceAll(r,\"\",[n,n+\"/\",\"[prefix[\"+n+\"]]\",\"[prefix[\"+n+\"/]]\",[\"[suffix[tw-body:link]]\",\"[[tw-body:link]]\"],[\"[suffix[tw-list:tags]]\",\"[[tw-list:tags]]\"],[\"[suffix[tw-list:list]]\",\"[[tw-body:list]]\"],[\"[suffix[tmap:unknown]]\",\"[[tmap:unknown]]\"],[\"[suffix[unknown]]\",\"[[tmap:unknown]]\"]]);u=\"-[prefix[_]] \"+r}i.setEdgeTypeFilter(u)}})}}]);return e}();exports.default=Fixer;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/services/Fixer.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/startup/listener": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/startup/listener",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.startup=exports.synchronous=exports.before=exports.after=exports.platforms=exports.name=undefined;var _NodeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/NodeType\");var _NodeType2=_interopRequireDefault(_NodeType);var _EdgeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeType\");var _EdgeType2=_interopRequireDefault(_EdgeType);var _Edge=require(\"$:/plugins/felixhayashi/tiddlymap/js/Edge\");var _Edge2=_interopRequireDefault(_Edge);var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _vis=require(\"$:/plugins/felixhayashi/tiddlymap/js/config/vis\");var _vis2=_interopRequireDefault(_vis);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}var handleCancelDialog=function e(t){var a=t.param;_utils2.default.setField(a,\"text\",\"\")};\n/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/startup/listener\ntype: application/javascript\nmodule-type: startup\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var handleClearTiddler=function e(){var t=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{},a=t.paramObject;var r=a.title,d=a.keep;if(!r)return;var i=_utils2.default.getTiddler(r);var l=i?i.fields:{};var s=d?d.split():[];var n={title:r,text:\"\"};for(var p=s.length;p--;){var o=s[p];n[o]=l[o]}$tw.wiki.deleteTiddler(r);$tw.wiki.addTiddler(new $tw.Tiddler(n))};var handleMixTiddlers=function e(t){var a=t.paramObject,r=a===undefined?{}:a;var d=r.tiddlers,i=r.output;if(!d||!i)return;var l=$tw.utils.parseStringArray(d);var s=_utils2.default.getMergedTiddlers(l,i);$tw.wiki.addTiddler(s)};var handleConfirmDialog=function e(t){var a=t.param;_utils2.default.setField(a,\"text\",\"1\")};var handleSuppressDialog=function e(t){var a=t.paramObject;var r=a.dialog,d=a.suppress;if(_utils2.default.isTrue(d,false)){_utils2.default.setEntry($tm.ref.sysUserConf,\"suppressedDialogs.\"+r,true)}};var handleDownloadGraph=function e(t){var a=t.paramObject;var r=a.view;var d=$tm.adapter.getGraph({view:r});d.nodes=_utils2.default.convert(d.nodes,\"array\");d.edges=_utils2.default.convert(d.edges,\"array\");var i=\"$:/temp/tmap/export\";_utils2.default.setField(i,\"text\",JSON.stringify(d,null,2));$tw.rootWidget.dispatchEvent({type:\"tm-download-file\",param:i,paramObject:{filename:r+\".json\"}})};var handleConfigureSystem=function e(){var t=_utils2.default.getMatches($tm.selector.allPotentialNodes);var a=$tm.adapter.getEdgesForSet(t);var r=$tw.wiki.getTiddler($tm.path.pluginRoot).fields;var d=$tw.wiki.getTiddlerData($tm.ref.sysMeta);var i=_utils2.default.getTiddler($tm.ref.liveTab).hasTag(\"$:/tags/SideBar\");var l={numberOfNodes:\"\"+t.length,numberOfEdges:\"\"+Object.keys(a).length,pluginVersion:\"v\"+r.version,dataStructureVersion:\"v\"+d.dataStructureState,dialog:{preselects:{liveTab:\"\"+i,\"inherited-style\":JSON.stringify(_vis2.default),\"config.vis\":_utils2.default.getText($tm.ref.visUserConf),\"config.sys\":$tm.config.sys}}};$tm.dialogManager.open(\"globalConfig\",l,function(e,t){if(!e)return;var a=_utils2.default.getPropertiesByPrefix(t.fields,\"config.sys.\",true);$tw.wiki.setTiddlerData($tm.ref.sysUserConf,a);if(_utils2.default.isTrue(t.fields.liveTab,false)){_utils2.default.setField($tm.ref.liveTab,\"tags\",\"$:/tags/SideBar\")}else{$tw.wiki.deleteTiddler($tm.ref.liveTab)}_utils2.default.setField($tm.ref.visUserConf,\"text\",t.fields[\"config.vis\"])})};var handleGenerateWidget=function e(t){var a=t.paramObject,r=a===undefined?{}:a;var d={dialog:{preselects:{\"var.view\":r.view||$tm.misc.defaultViewLabel}}};$tm.dialogManager.open(\"widgetCodeGenerator\",d)};var handleRemoveEdge=function e(t){var a=t.paramObject;$tm.adapter.deleteEdge(a)};var handleCreateEdge=function e(t){var a=t.paramObject;var r=a.from,d=a.to,i=a.force;if(!r||!d)return;if(_utils2.default.tiddlerExists(r)&&_utils2.default.tiddlerExists(d)||i){_utils2.default.addTiddler(d);_utils2.default.addTiddler(r);var l=new _Edge2.default($tm.adapter.makeNode(r).id,$tm.adapter.makeNode(d).id,a.label,a.id);$tm.adapter.insertEdge(l);$tm.notify(\"Edge inserted\")}};var handleOpenTypeManager=function e(t){var a=t.type,r=t.paramObject,d=r===undefined?{}:r;var i=a.match(/tmap:tm-(.*)/)[1];if(i===\"manage-edge-types\"){var l=\"Edge-Type Manager\";var s=$tm.selector.allEdgeTypes;var n=$tm.path.edgeTypes}else{var l=\"Node-Type Manager\";var s=$tm.selector.allNodeTypes;var n=$tm.path.nodeTypes}var p={mode:i,topic:l,searchSelector:s,typeRootPath:n};var o=$tm.dialogManager.open(\"MapElementTypeManager\",p);if(d.type){handleLoadTypeForm({paramObject:{mode:i,id:d.type,output:o.fields[\"output\"]}})}};var handleLoadTypeForm=function e(t){var a=t.paramObject,r=a.mode,d=a.id,i=a.output;var l=i;var s=r===\"manage-edge-types\"?_EdgeType2.default.getInstance(d):_NodeType2.default.getInstance(d);s.save(l,true);if(r===\"manage-edge-types\"){var n=$tm.adapter.selectEdgesByType(s);var p=Object.keys(n).length;_utils2.default.setField(l,\"temp.usageCount\",p)}$tw.wiki.addTiddler(new $tw.Tiddler(_utils2.default.getTiddler(l),{typeTRef:s.fullPath,\"temp.idImmutable\":s.isShipped?\"true\":\"\",\"temp.newId\":s.id,\"inherited-style\":JSON.stringify((r===\"manage-edge-types\"?$tm.config.vis.edges:$tm.config.vis.nodes)||{})}));_utils2.default.deleteByPrefix(\"$:/state/tabs/MapElementTypeManager\")};var handleSaveTypeForm=function e(t){var a=t.paramObject;var r=_utils2.default.getTiddler(a.output);if(!r)return;var d=r.fields.id;var i=a.mode;if(_utils2.default.isTrue(r.fields[\"temp.deleteType\"],false)){deleteType(i,d,r)}else{saveType(i,d,r)}};var deleteType=function e(t,a,r){var d=t===\"manage-edge-types\"?_EdgeType2.default.getInstance(a):_NodeType2.default.getInstance(a);$tm.logger(\"debug\",\"Deleting type\",d);if(t===\"manage-edge-types\"){$tm.adapter._processEdgesWithType(d,{action:\"delete\"})}else{$tm.adapter.removeNodeType(d)}$tw.wiki.addTiddler(new $tw.Tiddler({title:_utils2.default.getTiddlerRef(r)}));$tm.notify(\"Deleted type\")};var saveType=function e(t,a,r){var d=_utils2.default.getTiddler(r);var i=t===\"manage-edge-types\"?_EdgeType2.default:_NodeType2.default;var l=new i(a,d);l.save();var s=d.fields[\"temp.newId\"];if(s&&s!==d.fields[\"id\"]){if(t===\"manage-edge-types\"){$tm.adapter._processEdgesWithType(l,{action:\"rename\",newName:s})}else{new _NodeType2.default(s,l).save();$tw.wiki.deleteTiddler(l.fullPath)}_utils2.default.setField(d,\"id\",s)}$tm.notify(\"Saved type data\")};var handleCreateType=function e(t){var a=t.paramObject,r=a.mode,d=a.id,i=d===undefined?\"New type\":d,l=a.output;var s=r===\"manage-edge-types\"?new _EdgeType2.default(i):new _NodeType2.default(i);s.save();handleLoadTypeForm({paramObject:{id:s.id,mode:r,output:l}})};var name=exports.name=\"tmap.listener\";var platforms=exports.platforms=[\"browser\"];var after=exports.after=[\"rootwidget\",\"tmap.caretaker\"];var before=exports.before=[\"story\"];var synchronous=exports.synchronous=true;var startup=exports.startup=function e(){_utils2.default.addTWlisteners({\"tmap:tm-remove-edge\":handleRemoveEdge,\"tmap:tm-load-type-form\":handleLoadTypeForm,\"tmap:tm-save-type-form\":handleSaveTypeForm,\"tmap:tm-create-type\":handleCreateType,\"tmap:tm-create-edge\":handleCreateEdge,\"tmap:tm-suppress-dialog\":handleSuppressDialog,\"tmap:tm-generate-widget\":handleGenerateWidget,\"tmap:tm-download-graph\":handleDownloadGraph,\"tmap:tm-configure-system\":handleConfigureSystem,\"tmap:tm-manage-edge-types\":handleOpenTypeManager,\"tmap:tm-manage-node-types\":handleOpenTypeManager,\"tmap:tm-cancel-dialog\":handleCancelDialog,\"tmap:tm-clear-tiddler\":handleClearTiddler,\"tmap:tm-merge-tiddlers\":handleMixTiddlers,\"tmap:tm-confirm-dialog\":handleConfirmDialog},$tw.rootWidget,undefined)};\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/services/Listener.js.map\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/services/tracker": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/services/tracker",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _createClass=function(){function e(e,t){for(var i=0;i<t.length;i++){var r=t[i];r.enumerable=r.enumerable||false;r.configurable=true;if(\"value\"in r)r.writable=true;Object.defineProperty(e,r.key,r)}}return function(t,i,r){if(i)e(t.prototype,i);if(r)e(t,r);return t}}();/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/services/tracker\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}var Tracker=function(){function e(t){_classCallCheck(this,e);this.wiki=$tw.wiki;this.logger=$tm.logger;this._createIndex()}_createClass(e,[{key:\"_createIndex\",value:function e(){var t=this.tById={};var i=this.idByT={};this.wiki.each(function(e,r){if(_utils2.default.isSystemOrDraft(e)){return}var l=e.fields[\"tmap.id\"];if(!l){l=_utils2.default.genUUID();_utils2.default.setField(e,\"tmap.id\",l)}t[l]=r;i[r]=l})}},{key:\"assignId\",value:function e(t,i){var r=_utils2.default.getTiddler(t);if(!r){throw new ResourceNotFoundException(t)}var l=r.fields[\"tmap.id\"];if(!l||i){l=_utils2.default.genUUID();_utils2.default.setField(r,\"tmap.id\",l);this.logger(\"info\",\"Assigning new id to\",r.fields.title)}this.tById[l]=r.fields.title;this.idByT[r.fields.title]=l;return l}},{key:\"getIdByTiddler\",value:function e(t){return this.idByT[_utils2.default.getTiddlerRef(t)]}},{key:\"getIdsByTiddlers\",value:function e(){return this.idByT}},{key:\"getTiddlersByIds\",value:function e(){return this.tById}},{key:\"getTiddlerById\",value:function e(t){return this.tById[t]}}]);return e}();exports.default=Tracker;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/services/Tracker.js.map\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/widget/MapConfigWidget": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/widget/MapConfigWidget",
            "text": "\"use strict\";var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(e){return typeof e}:function(e){return e&&typeof Symbol===\"function\"&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e};/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/widget/MapConfigWidget\ntype: application/javascript\nmodule-type: widget\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _vis=require(\"$:/plugins/felixhayashi/vis/vis.js\");var _vis2=_interopRequireDefault(_vis);var _widget=require(\"$:/core/modules/widgets/widget.js\");function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function MapConfigWidget(e,t){_widget.widget.call(this);this.initialise(e,t);this.computeAttributes()}MapConfigWidget.prototype=Object.create(_widget.widget.prototype);MapConfigWidget.prototype.render=function(e,t){this.parentDomNode=e;if(!this.domNode){this.domNode=this.document.createElement(\"div\");$tw.utils.addClass(this.domNode,\"tmap-config-widget\");e.insertBefore(this.domNode,t)}if(this.network){this.network.destroy()}this.networkContainer=document.createElement(\"div\");this.domNode.appendChild(this.networkContainer);this.refreshTrigger=this.getAttribute(\"refresh-trigger\");this.pipeTRef=this.getVariable(\"currentTiddler\");this.inheritedFields=$tw.utils.parseStringArray(this.getAttribute(\"inherited\"));this.extensionTField=this.getAttribute(\"extension\");this.mode=this.getAttribute(\"mode\");for(var i=0;i<this.inheritedFields.length;i++){var s=this.inheritedFields[i];var n=_utils2.default.parseFieldData(this.pipeTRef,s,{});if(this.mode===\"manage-edge-types\"){n={edges:n}}else if(this.mode===\"manage-node-types\"){n={nodes:n}}this.inherited=_utils2.default.merge(this.inherited,n)}this.extension=_utils2.default.parseFieldData(this.pipeTRef,this.extensionTField,{});if(this.mode===\"manage-edge-types\"){if(!this.extension.edges){this.extension={edges:this.extension}}}else if(this.mode===\"manage-node-types\"){if(!this.extension.nodes){this.extension={nodes:this.extension}}}var r=_utils2.default.isTrue(this.getAttribute(\"save-only-changes\"));this.changes=r?{}:this.extension;var o={nodes:[],edges:[]};var a=_utils2.default.merge({},this.inherited,this.extension);$tw.utils.extend(a,{configure:{enabled:true,showButton:false,filter:this.getOptionFilter(this.mode)}});this.network=new _vis2.default.Network(this.networkContainer,o,a);this.network.on(\"configChange\",this.handleConfigChange.bind(this));var l=this.parentDomNode.getBoundingClientRect().height;this.parentDomNode.style[\"height\"]=l+\"px\";var h=this.handleResetEvent.bind(this);this.networkContainer.addEventListener(\"reset\",h,false);$tm.registry.push(this);this.enhanceConfigurator()};MapConfigWidget.prototype.handleResetEvent=function(e){var t={};t[e.detail.trigger.path]=null;this.handleConfigChange(t)};MapConfigWidget.prototype.handleConfigChange=function(e){var t=_utils2.default.flatten(this.changes);var i=_utils2.default.flatten(e);var s=Object.keys(_utils2.default.flatten(e))[0];var n=i[s]===null;if(n){t[s]=undefined;this.changes=_utils2.default.unflatten(t)}else{this.changes=_utils2.default.merge(this.changes,e)}var r=_utils2.default.merge({},this.changes);if(this.mode===\"manage-node-types\"){r=r[\"nodes\"]}if(this.mode===\"manage-edge-types\"){r=r[\"edges\"]}_utils2.default.writeFieldData(this.pipeTRef,this.extensionTField,r,$tm.config.sys.jsonIndentation);var o=\"vis-configuration-wrapper\";var a=this.networkContainer.getElementsByClassName(o)[0];a.style.height=a.getBoundingClientRect().height+\"px\";if(n){window.setTimeout(this.refresh.bind(this),0)}else{window.setTimeout(this.enhanceConfigurator.bind(this),50)}};MapConfigWidget.prototype.enhanceConfigurator=function(){var e=\"vis-configuration-wrapper\";var t=this.networkContainer.getElementsByClassName(e)[0].children;var i=[];var s=_utils2.default.flatten(this.changes);for(var n=0;n<t.length;n++){if(!t[n].classList.contains(\"vis-config-item\"))continue;var r=new VisConfElement(t[n],i,n);i.push(r);if(r.level===0)continue;r.setActive(!!s[r.path])}};function VisConfElement(e,t,i){var s=\"getElementsByClassName\";this.el=e;this.labelEl=e[s](\"vis-config-label\")[0]||e[s](\"vis-config-header\")[0]||e;var n=this.labelEl.innerText||this.labelEl.textContent;this.label=n&&n.match(/([a-zA-Z0-9]+)/)[1];this.level=parseInt(e.className.match(/.*vis-config-s(.).*/)[1])||0;this.path=this.label;if(this.level>0){for(var r=i;r--;){var o=t[r];if(o.level<this.level){this.path=o.path+\".\"+this.path;break}}}}VisConfElement.prototype.setActive=function(e){if(!e)return;var t=\"tmap-vis-config-item-\"+(e?\"active\":\"inactive\");$tw.utils.addClass(this.el,t);if(e){var i=document.createElement(\"button\");i.innerHTML=\"reset\";i.className=\"tmap-config-item-reset\";var s=this;i.addEventListener(\"click\",function(e){e.currentTarget.dispatchEvent(new CustomEvent(\"reset\",{detail:{trigger:s},bubbles:true,cancelable:true}))},false);this.el.appendChild(i)}};MapConfigWidget.prototype.getOptionFilter=function(e){var t={nodes:{borderWidth:true,borderWidthSelected:true,widthConstraint:true,heightConstraint:true,color:{background:true,border:true},font:{color:true,size:true},icon:true,labelHighlightBold:false,shadow:true,shape:true,shapeProperties:{borderDashes:true},size:true},edges:{arrows:true,color:true,dashes:true,font:true,labelHighlightBold:false,length:true,selfReferenceSize:false,shadow:true,smooth:true,width:true},interaction:{hideEdgesOnDrag:true,hideNodesOnDrag:true,tooltipDelay:true},layout:{hierarchical:true},manipulation:{initiallyActive:true},physics:{forceAtlas2Based:{gravitationalConstant:true,springLength:true,springConstant:true,damping:true,centralGravity:true}}};if(e===\"manage-edge-types\"){t={edges:t.edges}}else if(e===\"manage-node-types\"){t={nodes:t.nodes}}else{t.edges.arrows=false}return function(e,i){i=i.concat([e]);var s=t;for(var n=0,r=i.length;n<r;n++){if(s[i[n]]===true){return true}else if(s[i[n]]==null){return false}s=s[i[n]]}return false}};MapConfigWidget.prototype.isZombieWidget=function(){return!document.body.contains(this.parentDomNode)};MapConfigWidget.prototype.destruct=function(){if(this.network){this.network.destroy()}};MapConfigWidget.prototype.refresh=function(e){if(this.isZombieWidget()||!this.network)return;if(!e||e[this.refreshTrigger]){this.refreshSelf();return true}};MapConfigWidget.prototype.setNull=function(e){for(var t in e){if(_typeof(e[t])==\"object\"){this.setNull(e[t])}else{e[t]=undefined}}};exports[\"tmap-config\"]=MapConfigWidget;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/widget/ConfigurationWidget.js.map\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/widget/EdgeListWidgetItem": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/widget/EdgeListWidgetItem",
            "text": "\"use strict\";var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var i=t[r];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(t,r,i){if(r)e(t.prototype,r);if(i)e(t,i);return t}}();var _widget=require(\"$:/core/modules/widgets/widget.js\");var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/widget/EdgeListWidgetItem\ntype: application/javascript\nmodule-type: widget\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var EdgeListItemWidget=function(e){_inherits(t,e);function t(e,r){_classCallCheck(this,t);var i=_possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,r));i.arrows=$tm.misc.arrows;return i}_createClass(t,[{key:\"execute\",value:function e(){var t=this.parseTreeNode;var r=$tm.tracker.getTiddlerById(t.neighbour.id);var i=_utils2.default.flatten(t.edge);for(var o in i){if(typeof i[o]===\"string\"){this.setVariable(\"edge.\"+o,i[o])}}this.setVariable(\"currentTiddler\",r);this.setVariable(\"neighbour\",r);var n=$tm.indeces.allETy[i.type];var s=i.to===t.neighbour.id?\"to\":\"from\";var a=s;if(n.biArrow){a=\"bi\"}else{if(s===\"to\"&&n.invertedArrow){a=\"from\"}else if(s===\"from\"&&n.invertedArrow){a=\"to\"}}this.setVariable(\"direction\",a);this.setVariable(\"directionSymbol\",a===\"bi\"?this.arrows.bi:a===\"from\"?this.arrows.in:this.arrows.out);this.makeChildWidgets()}},{key:\"refresh\",value:function e(t){return this.refreshChildren(t)}}]);return t}(_widget.widget);exports[\"tmap-edgelistitem\"]=EdgeListItemWidget;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/widget/EdgeListItemWidget.js.map\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/widget/EdgeListWidget": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/widget/EdgeListWidget",
            "text": "\"use strict\";var _createClass=function(){function e(e,t){for(var r=0;r<t.length;r++){var i=t[r];i.enumerable=i.enumerable||false;i.configurable=true;if(\"value\"in i)i.writable=true;Object.defineProperty(e,i.key,i)}}return function(t,r,i){if(r)e(t.prototype,r);if(i)e(t,i);return t}}();var _widget=require(\"$:/core/modules/widgets/widget.js\");var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/widget/EdgeListWidget\ntype: application/javascript\nmodule-type: widget\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var EdgeListWidget=function(e){_inherits(t,e);function t(e,r){_classCallCheck(this,t);return _possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,r))}_createClass(t,[{key:\"render\",value:function e(t,r){this.parentDomNode=t;this.computeAttributes();this.execute();this.renderChildren(t,r)}},{key:\"execute\",value:function e(){var t=[this.getVariable(\"currentTiddler\")];var r=this.getAttribute(\"filter\",\"\");var i=this.getAttribute(\"direction\",\"both\");var s=$tm.indeces.allETy;var n=_utils2.default.getEdgeTypeMatches(r,s);var u={typeWL:_utils2.default.getLookupTable(n),direction:i};var o=$tm.adapter.getNeighbours(t,u),a=o.nodes,l=o.edges;var f=[];for(var c in l){var h=l[c];var p=a[h.to]||a[h.from];if(!p){continue}f.push({type:\"tmap-edgelistitem\",edge:h,typeWL:u.typeWL,neighbour:p,children:this.parseTreeNode.children})}if(!f.length){this.wasEmpty=true;f=this.getEmptyMessage()}else if(this.wasEmpty){this.removeChildDomNodes()}this.makeChildWidgets(f)}},{key:\"getEmptyMessage\",value:function e(){var t=this.wiki.parseText(\"text/vnd.tiddlywiki\",this.getAttribute(\"emptyMessage\",\"\"),{parseAsInline:true});return t?t.tree:[]}},{key:\"refresh\",value:function e(t){var r=this.computeAttributes();if(_utils2.default.hasElements(r)){this.refreshSelf();return true}for(var i in t){if(!_utils2.default.isSystemOrDraft(i)){this.refreshSelf();return true}}return this.refreshChildren(t)}}]);return t}(_widget.widget);exports[\"tmap-connections\"]=EdgeListWidget;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/widget/EdgeListWidget.js.map\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/plugins/felixhayashi/tiddlymap/js/widget/MapWidget": {
            "title": "$:/plugins/felixhayashi/tiddlymap/js/widget/MapWidget",
            "text": "\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.tiddlymap=exports.tmap=undefined;var _extends=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var i=arguments[t];for(var a in i){if(Object.prototype.hasOwnProperty.call(i,a)){e[a]=i[a]}}}return e};var _createClass=function(){function e(e,t){for(var i=0;i<t.length;i++){var a=t[i];a.enumerable=a.enumerable||false;a.configurable=true;if(\"value\"in a)a.writable=true;Object.defineProperty(e,a.key,a)}}return function(t,i,a){if(i)e(t.prototype,i);if(a)e(t,a);return t}}();var _CallbackManager=require(\"$:/plugins/felixhayashi/tiddlymap/js/CallbackManager\");var _CallbackManager2=_interopRequireDefault(_CallbackManager);var _ViewAbstraction=require(\"$:/plugins/felixhayashi/tiddlymap/js/ViewAbstraction\");var _ViewAbstraction2=_interopRequireDefault(_ViewAbstraction);var _EdgeType=require(\"$:/plugins/felixhayashi/tiddlymap/js/EdgeType\");var _EdgeType2=_interopRequireDefault(_EdgeType);var _Popup=require(\"$:/plugins/felixhayashi/tiddlymap/js/Popup\");var _Popup2=_interopRequireDefault(_Popup);var _vis=require(\"$:/plugins/felixhayashi/vis/vis.js\");var _vis2=_interopRequireDefault(_vis);var _widget=require(\"$:/core/modules/widgets/widget.js\");var _utils=require(\"$:/plugins/felixhayashi/tiddlymap/js/utils\");var _utils2=_interopRequireDefault(_utils);var _SelectionRectangle=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/SelectionRectangle\");var _SelectionRectangle2=_interopRequireDefault(_SelectionRectangle);var _environment=require(\"$:/plugins/felixhayashi/tiddlymap/js/lib/environment\");var env=_interopRequireWildcard(_environment);function _interopRequireWildcard(e){if(e&&e.__esModule){return e}else{var t={};if(e!=null){for(var i in e){if(Object.prototype.hasOwnProperty.call(e,i))t[i]=e[i]}}t.default=e;return t}}function _interopRequireDefault(e){return e&&e.__esModule?e:{default:e}}function _defineProperty(e,t,i){if(t in e){Object.defineProperty(e,t,{value:i,enumerable:true,configurable:true,writable:true})}else{e[t]=i}return e}function _toConsumableArray(e){if(Array.isArray(e)){for(var t=0,i=Array(e.length);t<e.length;t++){i[t]=e[t]}return i}else{return Array.from(e)}}function _classCallCheck(e,t){if(!(e instanceof t)){throw new TypeError(\"Cannot call a class as a function\")}}function _possibleConstructorReturn(e,t){if(!e){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return t&&(typeof t===\"object\"||typeof t===\"function\")?t:e}function _inherits(e,t){if(typeof t!==\"function\"&&t!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+typeof t)}e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:false,writable:true,configurable:true}});if(t)Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t}/* @preserve TW-Guard */\n/*\\\n\ntitle: $:/plugins/felixhayashi/tiddlymap/js/widget/MapWidget\ntype: application/javascript\nmodule-type: widget\n\n@preserve\n\n\\*/\n/* @preserve TW-Guard */var MapWidget=function(e){_inherits(t,e);function t(e,i){_classCallCheck(this,t);var a=_possibleConstructorReturn(this,(t.__proto__||Object.getPrototypeOf(t)).call(this,e,i));a.getAttr=a.getAttribute;a.isDebug=_utils2.default.isTrue($tm.config.sys.debug,false);_utils2.default.bindTo(a,[\"constructTooltip\",\"handleResizeEvent\",\"handleClickEvent\",\"handleCanvasKeyup\",\"handleCanvasKeydown\",\"handleCanvasScroll\",\"handleCanvasMouseMove\",\"handleWidgetKeyup\",\"handleWidgetKeydown\",\"handleTriggeredRefresh\",\"handleContextMenu\"]);a.callbackManager=new _CallbackManager2.default;a.computeAttributes();a.editorMode=a.getAttr(\"editor\");a.clickToUse=_utils2.default.isTrue(a.getAttr(\"click-to-use\"),false);a.id=a.getAttr(\"object-id\")||a.getStateQualifier();a.widgetPopupsPath=$tm.path.tempPopups+\"/\"+a.id;if(a.editorMode){_utils2.default.addTWlisteners({\"tmap:tm-create-view\":a.handleCreateView,\"tmap:tm-rename-view\":a.handleRenameView,\"tmap:tm-delete-view\":a.handleDeleteView,\"tmap:tm-delete-element\":a.handleDeleteElement,\"tmap:tm-edit-view\":a.handleEditView,\"tmap:tm-generate-widget\":a.handleGenerateWidget,\"tmap:tm-toggle-central-topic\":a.handleSetCentralTopic,\"tmap:tm-save-canvas\":a.handleSaveCanvas},a,a)}_utils2.default.addTWlisteners({\"tmap:tm-focus-node\":a.handleFocusNode,\"tmap:tm-reset-focus\":a.repaintGraph,\"tmap:tm-neighbourhood-reset-trace\":function e(){a.initAndRenderGraph(a.graphDomNode)}},a,a);a.visListeners={click:a.handleVisSingleClickEvent,doubleClick:a.handleVisDoubleClickEvent,stabilized:a.handleVisStabilizedEvent,selectNode:a.handleVisSelectNode,deselectNode:a.handleVisDeselectNode,dragStart:a.handleVisDragStart,dragEnd:a.handleVisDragEnd,hoverNode:a.handleVisHoverElement,hoverEdge:a.handleVisHoverElement,blurNode:a.handleVisBlurElement,blurEdge:a.handleVisBlurElement,beforeDrawing:a.handleVisBeforeDrawing,afterDrawing:a.handleVisAfterDrawing,stabilizationProgress:a.handleVisLoading,stabilizationIterationsDone:a.handleVisLoadingDone};a.windowDomListeners={resize:[a.handleResizeEvent,false],click:[a.handleClickEvent,false],mousemove:[a.handleCanvasMouseMove,true]};a.canvasDomListeners={keyup:[a.handleCanvasKeyup,true],keydown:[a.handleCanvasKeydown,true],mousewheel:[a.handleCanvasScroll,true],DOMMouseScroll:[a.handleCanvasScroll,true],contextmenu:[a.handleContextMenu,true],MozMousePixelScroll:[a.handleExtraCanvasScroll,true]};a.widgetDomListeners={keyup:[a.handleWidgetKeyup,true],keydown:[a.handleWidgetKeydown,true]};a.conVector={from:null,to:null};return a}_createClass(t,[{key:\"handleConnectionEvent\",value:function e(t,i){var a=this;var s=this.view.getEdgeTypeFilter();var r={fromLabel:$tm.adapter.selectNodeById(t.from).label,toLabel:$tm.adapter.selectNodeById(t.to).label,view:this.view.getLabel(),eTyFilter:s.raw};$tm.dialogManager.open(\"getEdgeType\",r,function(e,r){if(e){var n=_utils2.default.getText(r);var o=_EdgeType2.default.getInstance(n);if(!o.namespace){var l=_EdgeType2.default.getIdParts(o.id),d=l.marker,h=l.name;var u=a.view.getConfig(\"edge_type_namespace\");o=_EdgeType2.default.getInstance(_EdgeType2.default.getId(d,u,h))}if(!o.exists()){o.save()}t.type=o.id;$tm.adapter.insertEdge(t);a.isPreventZoomOnNextUpdate=true;if(!a.view.isEdgeTypeVisible(o)){$tm.dialogManager.open(\"edgeNotVisible\",{type:o.id,view:a.view.getLabel(),eTyFilter:s.pretty})}}if(typeof i===\"function\"){i(e)}})}},{key:\"checkForFreshInstall\",value:function e(){if(!_utils2.default.getEntry($tm.ref.sysMeta,\"showWelcomeMessage\",true)){return}_utils2.default.setEntry($tm.ref.sysMeta,\"showWelcomeMessage\",false);var t={dialog:{preselects:{\"config.storyview\":\"true\",\"config.navigation\":\"true\",\"config.sidebar\":\"true\",\"config.demo\":\"true\"}}};$tm.dialogManager.open(\"welcome\",t,function(e,t){var i=_utils2.default.getPropertiesByPrefix(t.fields,\"config.\",true);if(i[\"storyview\"]&&_utils2.default.tiddlerExists(\"$:/plugins/felixhayashi/topstoryview\")){_utils2.default.setText(\"$:/view\",\"top\")}if(i[\"navigation\"]){_utils2.default.setText(\"$:/config/Navigation/openLinkFromInsideRiver\",\"above\");_utils2.default.setText(\"$:/config/Navigation/openLinkFromOutsideRiver\",\"top\")}if(i[\"sidebar\"]){_utils2.default.setText(\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\",\"fixed-fluid\")}if(i[\"demo\"]){var a=$tm.misc.defaultViewLabel;var s=$tm.adapter.insertNode({label:\"Have fun with\",x:0,y:0},a);var r=$tm.adapter.insertNode({label:\"TiddlyMap!!\",x:100,y:100},a);$tm.adapter.insertEdge({from:s.id,to:r.id})}if(Object.keys(i).length){_utils2.default.touch(\"$:/plugins/felixhayashi/tiddlymap\")}})}},{key:\"openStandardConfirmDialog\",value:function e(t,i){var a={message:i};$tm.dialogManager.open(\"getConfirmation\",a,t)}},{key:\"logger\",value:function e(t,i){if(this.isDebug){var a=Array.prototype.slice.call(arguments,1);a.unshift(\"@\"+this.id);a.unshift(t);$tm.logger.apply(this,a)}}},{key:\"render\",value:function e(t,i){this.parentDomNode=t;this.domNode=this.document.createElement(\"div\");t.insertBefore(this.domNode,i);this.registerClassNames(this.domNode);this.viewHolderRef=this.getViewHolderRef();this.view=this.getView();this.graphBarDomNode=this.document.createElement(\"div\");$tw.utils.addClass(this.graphBarDomNode,\"tmap-topbar\");this.domNode.appendChild(this.graphBarDomNode);this.graphDomNode=this.document.createElement(\"div\");this.domNode.appendChild(this.graphDomNode);$tw.utils.addClass(this.graphDomNode,\"tmap-vis-graph\");if(_utils2.default.isPreviewed(this)){$tw.utils.addClass(this.domNode,\"tmap-static-mode\");this.renderPreview(this.graphBarDomNode,this.graphDomNode)}else{this.renderFullWidget(this.domNode,this.graphBarDomNode,this.graphDomNode);var a=this.document.createElement(\"canvas\");$tw.utils.addClass(a,\"tmap-download-canvas\");this.domNode.appendChild(a)}}},{key:\"renderPreview\",value:function e(t,i){var a=this.view.snapshotTRef;var s=_utils2.default.getTiddler(a);var r=this.document.createElement(\"span\");r.innerHTML=this.view.getLabel();r.className=\"tmap-view-label\";t.appendChild(r);if(s){var n=_utils2.default.getTiddlerNode(this.view.getRoot());n.children.push(_utils2.default.getTranscludeNode(a));this.makeChildWidgets([n]);this.renderChildren(i,i.firstChild)}else{$tw.utils.addClass(i,\"tmap-graph-placeholder\")}}},{key:\"renderFullWidget\",value:function e(t,i,a){_utils2.default.setDomListeners(\"add\",window,this.windowDomListeners);_utils2.default.setDomListeners(\"add\",t,this.widgetDomListeners);this.addLoadingBar(this.domNode);this.tooltip=new _Popup2.default(this.domNode,{className:\"tmap-tooltip\",showDelay:$tm.config.sys.popups.delay});this.contextMenu=new _Popup2.default(this.domNode,{className:\"tmap-context-menu\",showDelay:0,hideOnClick:true,leavingDelay:999999});this.sidebar=_utils2.default.getFirstElementByClassName(\"tc-sidebar-scrollable\");this.isInSidebar=this.sidebar&&!this.domNode.isTiddlyWikiFakeDom&&this.sidebar.contains(this.domNode);this.rebuildEditorBar(i);this.reloadRefreshTriggers();this.initAndRenderGraph(a);$tm.registry.push(this);this.checkForFreshInstall();if(this.id===$tm.misc.mainEditorId){var s=$tm.url;if(s&&s.query[\"tmap-enlarged\"]){this.toggleEnlargedMode(s.query[\"tmap-enlarged\"]);this.setView(s.query[\"tmap-view\"])}}}},{key:\"registerClassNames\",value:function e(t){var i=$tw.utils.addClass;i(t,\"tmap-widget\");if(this.clickToUse){i(t,\"tmap-click-to-use\")}if(this.getAttr(\"editor\")===\"advanced\"){i(t,\"tmap-advanced-editor\")}if(this.getAttr(\"design\")===\"plain\"){i(t,\"tmap-plain-design\")}if(!_utils2.default.isTrue(this.getAttr(\"show-buttons\"),true)){i(t,\"tmap-no-buttons\")}if(this.getAttr(\"class\")){i(t,this.getAttr(\"class\"))}}},{key:\"addLoadingBar\",value:function e(t){this.graphLoadingBarDomNode=this.document.createElement(\"progress\");$tw.utils.addClass(this.graphLoadingBarDomNode,\"tmap-loading-bar\");t.appendChild(this.graphLoadingBarDomNode)}},{key:\"rebuildEditorBar\",value:function e(){this.removeChildDomNodes();var t=this.view;var i=\"tmap-unicode-button\";var a=i+\" tmap-active-button\";var s={widgetQualifier:this.getStateQualifier(),widgetTempPath:this.widgetTempPath,widgetPopupsPath:this.widgetPopupsPath,isViewBound:String(this.isViewBound()),viewRoot:t.getRoot(),viewLabel:t.getLabel(),viewHolder:this.getViewHolderRef(),edgeTypeFilter:t.edgeTypeFilterTRef,allEdgesFilter:$tm.selector.allEdgeTypes,isShowNeighbourhood:String(t.isEnabled(\"neighbourhood_scope\")),tracingBtnClass:t.isEnabled(\"neighbourhood_trace_clicks\")?a:i,neighScopeBtnClass:t.isEnabled(\"neighbourhood_scope\")?a:i,rasterMenuBtnClass:t.isEnabled(\"raster\")?a:i};for(var r in s){this.setVariable(r,s[r])}var n=_utils2.default.getTiddlerNode(t.getRoot());if(this.editorMode===\"advanced\"){n.children.push(_utils2.default.getTranscludeNode($tm.ref.graphBar))}else{var o=_utils2.default.getElementNode(\"span\",\"tmap-view-label\",t.getLabel());n.children.push(o)}n.children.push(_utils2.default.getTranscludeNode($tm.ref.focusButton));this.makeChildWidgets([n]);this.renderChildren(this.graphBarDomNode,this.graphBarDomNode.firstChild)}},{key:\"refresh\",value:function e(t){return false}},{key:\"update\",value:function e(t){if(!this.network||this.isZombieWidget()||_utils2.default.isPreviewed(this)){return}var i=t.changedTiddlers;this.callbackManager.refresh(i);if(this.isViewSwitched(i)||this.hasChangedAttributes()||t[env.path.options]||i[this.view.getRoot()]){this.logger(\"warn\",\"View switched or config changed\");this.isPreventZoomOnNextUpdate=false;this.view=this.getView(true);this.reloadRefreshTriggers();this.trace=_utils2.default.makeHashMap();this.rebuildEditorBar();this.reloadBackgroundImage();this.initAndRenderGraph(this.graphDomNode)}else{var a=this.view.update(t);if(a){this.logger(\"warn\",\"View components modified\");this.rebuildGraph({resetFocus:{delay:1e3,duration:1e3}})}else{if(t[env.path.nodeTypes]||this.hasChangedElements(i)){this.rebuildGraph()}this.refreshChildren(i)}}}},{key:\"hidePopups\",value:function e(t,i){this.tooltip.hide(t,i);this.contextMenu.hide(0,true)}},{key:\"reloadRefreshTriggers\",value:function e(){this.callbackManager.remove(this.refreshTriggers);var t=this.getAttr(\"refresh-triggers\")||this.view.getConfig(\"refresh-triggers\");this.refreshTriggers=$tw.utils.parseStringArray(t)||[];this.logger(\"debug\",\"Registering refresh trigger\",this.refreshTriggers);for(var i=this.refreshTriggers.length;i--;){this.callbackManager.add(this.refreshTriggers[i],this.handleTriggeredRefresh,false)}}},{key:\"rebuildGraph\",value:function e(){var t=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{},i=t.resetFocus;if(_utils2.default.isPreviewed(this)){return}this.logger(\"debug\",\"Rebuilding graph\");this.hidePopups(0,true);this.hasNetworkStabilized=false;var a=this.rebuildGraphData();if(a.changedNodes.withoutPosition.length){i=i||{delay:1e3,duration:1e3};if(!this.view.isEnabled(\"physics_mode\")){var s=this.visOptions.physics;s[s.solver].centralGravity=.25;this.network.setOptions(this.visOptions)}}if(!_utils2.default.hasElements(this.graphData.nodesById)){return}if(i){var r=this.isPreventZoomOnNextUpdate==null?false:typeof this.isPreventZoomOnNextUpdate===\"number\"?this.isPreventZoomOnNextUpdate>Date.now():this.isPreventZoomOnNextUpdate;if(!r){this.network.stabilize();this.resetFocus=i}if(typeof this.isPreventZoomOnNextUpdate!==\"number\"){this.isPreventZoomOnNextUpdate=false}}}},{key:\"getContainer\",value:function e(){return this.domNode}},{key:\"rebuildGraphData\",value:function e(){var t=this;$tm.start(\"Reloading Network\");var i={view:this.view};if(this.view.isEnabled(\"neighbourhood_trace_clicks\")){var a=_utils2.default.getMatches(this.view.getNodeFilter(\"compiled\"));var s=Object.keys(this.trace);var r=[].concat(_toConsumableArray(a.filter(function(e){return!t.trace[e]})),_toConsumableArray(s));i.matches=r;i.includeNeighboursOf=this.view.isEnabled(\"neighbourhood_include_traced_node_neighbours\")?function(e){return r.includes(e)}:function(e){return a.includes(e)}}var n=$tm.adapter.getGraph(i);var o=_utils2.default.refreshDataSet(this.graphData.nodes,n.nodes);var l=_utils2.default.refreshDataSet(this.graphData.edges,n.edges);this.graphData.nodesById=n.nodes;this.graphData.edgesById=n.edges;_utils2.default.setField(\"$:/temp/tmap/nodes/\"+this.view.getLabel(),\"list\",$tm.adapter.getTiddlersByIds(n.nodes));$tm.stop(\"Reloading Network\");return{changedEdges:l,changedNodes:o}}},{key:\"isViewBound\",value:function e(){return _utils2.default.startsWith(this.getViewHolderRef(),$tm.path.localHolders)}},{key:\"isViewSwitched\",value:function e(t){return!_ViewAbstraction2.default.exists(this.view)||t[this.getViewHolderRef()]}},{key:\"hasChangedAttributes\",value:function e(){return Object.keys(this.computeAttributes()).length}},{key:\"hasChangedElements\",value:function e(t){var i=[];var a=this.graphData.nodesById;var s=this.view.isEnabled(\"neighbourhood_scope\");for(var r in t){if(_utils2.default.isSystemOrDraft(r)){continue}if(a[$tm.adapter.getId(r)]||s){return true}if(t[r].modified){i.push(r)}}if(i.length){var n=this.view.getNodeFilter(\"compiled\");var o=_utils2.default.getMatches(n,i);return!!o.length}}},{key:\"initAndRenderGraph\",value:function e(t){var i=this;if(this.network){this._destructVis()}this.logger(\"info\",\"Initializing and rendering the graph\");if(!this.isInSidebar){this.callbackManager.add(\"$:/state/sidebar\",this.handleResizeEvent)}this.visOptions=this.getVisOptions();this.graphData={nodes:new _vis2.default.DataSet,edges:new _vis2.default.DataSet,nodesById:_utils2.default.makeHashMap(),edgesById:_utils2.default.makeHashMap()};this.tooltip.setEnabled(_utils2.default.isTrue($tm.config.sys.popups.enabled,true));this.trace=_utils2.default.makeHashMap();this.network=new _vis2.default.Network(t,this.graphData,this.visOptions);this.canvas=t.getElementsByTagName(\"canvas\")[0];this.networkDomNode=_utils2.default.getFirstElementByClassName(\"vis-network\",t,true);this.canvas.tabIndex=0;for(var a in this.visListeners){this.network.on(a,this.visListeners[a].bind(this))}this.addGraphButtons({\"fullscreen-button\":function e(){i.toggleEnlargedMode(\"fullscreen\")},\"halfscreen-button\":function e(){i.toggleEnlargedMode(\"halfscreen\")}});_utils2.default.setDomListeners(\"add\",this.canvas,this.canvasDomListeners);this.reloadBackgroundImage();this.rebuildGraph({resetFocus:{delay:0,duration:0}});this.handleResizeEvent();this.canvas.focus();if(this.view.isLiveView()&&this.view.isEnabled(\"neighbourhood_trace_clicks\")){this.trace[_utils2.default.getText(this.refreshTriggers[0])]=true}}},{key:\"handleCanvasKeyup\",value:function e(t){var i=this;var a=this.network.getSelectedNodes();if(t.ctrlKey){t.preventDefault();if(t.keyCode===88){if(this.editorMode){this.handleAddNodesToClipboard(\"move\")}else{$tm.notify(\"Map is read only!\")}}else if(t.keyCode===67){this.handleAddNodesToClipboard(\"copy\")}else if(t.keyCode===86){this.handlePasteNodesFromClipboard()}else if(t.keyCode===65){var s=Object.keys(this.graphData.nodesById);this.network.selectNodes(s)}else if(t.keyCode===49||t.keyCode===50){if(a.length!==1)return;var r=t.keyCode===49?\"from\":\"to\";$tm.notify(_utils2.default.ucFirst(r)+\"-part selected\");this.conVector[r]=a[0];if(this.conVector.from&&this.conVector.to){this.handleConnectionEvent(this.conVector,function(){i.conVector={from:null,to:null}})}}}else{if(t.keyCode===13){if(a.length!==1)return;this.openTiddlerWithId(a[0])}}}},{key:\"handleCanvasKeydown\",value:function e(t){if(t.altKey||t.metaKey){t.preventDefault();if(t.keyCode>=48&&t.keyCode<=57){var i=String.fromCharCode(t.keyCode);this.view.setConfig(\"neighbourhood_scope\",i)}}else{if(t.keyCode===46){t.preventDefault();this.handleRemoveElements(this.network.getSelection())}}}},{key:\"handleDeleteElement\",value:function e(t){var i=t.paramObject.id;var a=i?[i]:this.network.getSelectedNodes();this.handleRemoveElements({nodes:a})}},{key:\"handleCanvasMouseMove\",value:function e(t){var i=this.network;if(!(t.ctrlKey&&t.buttons)){if(this.selectRect){this.selectRect=null;var a=i.getSelectedNodes();$tm.notify(a.length+\" nodes selected\");i.redraw()}return}t.preventDefault();t.stopPropagation();if(!this.domNode.contains(t.target)){return}var s=i.DOMtoCanvas({x:t.offsetX,y:t.offsetY});if(!this.selectRect){this.selectRect=new _SelectionRectangle2.default(s.x,s.y)}this.selectRect.span(s.x,s.y);var r=i.getPositions();var n=i.getSelectedNodes();for(var o in r){if(this.selectRect.isPointWithin(r[o])&&!_utils2.default.inArray(o,n)){n.push(o)}}i.selectNodes(n);this.assignActiveStyle(n);i.redraw()}},{key:\"handleCanvasScroll\",value:function e(t){var i=!!(this.isInSidebar||t.ctrlKey||this.enlargedMode||this.clickToUse&&this.networkDomNode.classList.contains(\"vis-active\"));var a=this.visOptions.interaction;var s=i===a.zoomView;if(i||!s){t.preventDefault()}if(!s){t.stopPropagation();a.zoomView=i;this.network.setOptions({interaction:{zoomView:i}});return false}}},{key:\"handleExtraCanvasScroll\",value:function e(t){t.preventDefault()}},{key:\"handleContextMenu\",value:function e(t){var i=this;t.preventDefault();var a=this.network;this.hidePopups(0,true);var s=a.getNodeAt({x:t.offsetX,y:t.offsetY});if(!s)return;var r=a.getSelectedNodes();if(!_utils2.default.inArray(s,r)){r=[s];a.selectNodes(r)}this.contextMenu.show(r,function(e,t){var a=e.length>1?\"multi\":\"single\";var s=\"$:/plugins/felixhayashi/tiddlymap/editor/contextMenu/node\";_utils2.default.registerTransclude(i,\"contextMenuWidget\",s);i.contextMenuWidget.setVariable(\"mode\",a);i.contextMenuWidget.render(t)})}},{key:\"handleWidgetKeyup\",value:function e(t){}},{key:\"handleWidgetKeydown\",value:function e(t){if(t.ctrlKey){t.preventDefault();if(t.keyCode===70){t.preventDefault();var i=this.widgetPopupsPath+\"/focus\";_utils2.default.setText(i,_utils2.default.getText(i)?\"\":\"1\")}else{return}}else if(t.keyCode===120){t.preventDefault();this.toggleEnlargedMode(\"halfscreen\")}else if(t.keyCode===121){t.preventDefault();this.toggleEnlargedMode(\"fullscreen\")}else if(t.keyCode===27){t.preventDefault();_utils2.default.deleteByPrefix(this.widgetPopupsPath)}else{return}this.canvas.focus()}},{key:\"handlePasteNodesFromClipboard\",value:function e(){if(!this.editorMode){$tm.notify(\"Map is read only!\");return}if(!$tm.clipBoard||$tm.clipBoard.type!==\"nodes\"){$tm.notify(\"TiddlyMap clipboad is empty!\")}var t=$tm.clipBoard.nodes;var i=Object.keys(t);for(var a=i.length;a--;){var s=i[a];if(this.graphData.nodesById[s]){continue}this.view.addNode(t[s]);this.graphData.nodes.update({id:s})}this.network.selectNodes(i);this.rebuildGraph({resetFocus:{delay:0,duration:0}});$tm.notify(\"pasted \"+i.length+\" nodes into map.\")}},{key:\"handleAddNodesToClipboard\",value:function e(t){var i=this.network.getSelectedNodes();if(!i.length){return}$tm.clipBoard={type:\"nodes\",nodes:this.graphData.nodes.get(i,{returnType:\"Object\"})};$tm.notify(\"Copied \"+i.length+\" nodes to clipboard\");if(t===\"move\"){for(var a=i.length;a--;){this.view.removeNode(i[a])}}this.isPreventZoomOnNextUpdate=true}},{key:\"getVisOptions\",value:function e(){var t=this;var i=$tm.config.vis;var a=_utils2.default.parseJSON(this.view.getConfig(\"vis\"))||{};var s=a.layout||{},r=s.hierarchical;var n={layout:{hierarchical:{enabled:r===undefined||r===null?false:typeof r===\"boolean\"?r:r.enabled!==false}}};var o=_utils2.default.merge({},i,_utils2.default.merge(a,n));o.clickToUse=this.clickToUse;o.manipulation.enabled=!!this.editorMode;o.manipulation.deleteNode=function(e,i){t.handleRemoveElements(e);t.resetVisManipulationBar(i)};o.manipulation.deleteEdge=function(e,i){t.handleRemoveElements(e);t.resetVisManipulationBar(i)};o.manipulation.addEdge=function(e,i){t.handleConnectionEvent(e);t.resetVisManipulationBar(i)};o.manipulation.addNode=function(e,i){t.handleInsertNode(e);t.resetVisManipulationBar(i)};o.manipulation.editNode=function(e,i){t.handleEditNode(e);t.resetVisManipulationBar(i)};o.interaction.zoomView=!!(this.isInSidebar||this.enlargedMode);o.manipulation.editEdge=false;var l=o.physics;l[l.solver]=l[l.solver]||{};l.stabilization.iterations=1e3;this.logger(\"debug\",\"Loaded graph options\",o);return o}},{key:\"resetVisManipulationBar\",value:function e(t){if(t){t(null)}this.network.disableEditMode();this.network.enableEditMode()}},{key:\"isVisInEditMode\",value:function e(){return this.graphDomNode.getElementsByClassName(\"vis-button vis-back\").length>0}},{key:\"handleCreateView\",value:function e(){var t=this;var i={view:this.view.getLabel()};$tm.dialogManager.open(\"createView\",i,function(e,i){if(!e)return;var a=_utils2.default.getField(i,\"name\");var s=_utils2.default.getField(i,\"clone\",false);if(_ViewAbstraction2.default.exists(a)){$tm.notify(\"Forbidden! View already exists!\");return}if(s&&t.view.isLiveView()){$tm.notify(\"Forbidden to clone the live view!\");return}var r=new _ViewAbstraction2.default(a,{isCreate:true,protoView:s?t.view:null});t.setView(r)})}},{key:\"handleRenameView\",value:function e(){var t=this;if(this.view.isLocked()){$tm.notify(\"Forbidden!\");return}var i=this.view.getOccurrences();var a={count:i.length.toString(),refFilter:_utils2.default.joinAndWrap(i,\"[[\",\"]]\")};$tm.dialogManager.open(\"renameView\",a,function(e,i){if(!e){return}var a=_utils2.default.getText(i);if(!a){$tm.notify(\"Invalid name!\")}else if(_ViewAbstraction2.default.exists(a)){$tm.notify(\"Forbidden! View already exists!\")}else{t.view.rename(a);t.setView(t.view)}})}},{key:\"handleEditView\",value:function e(){var t=this;var i=JSON.stringify($tm.config.vis);var a=this.graphData;var s=this.view.getConfig();var r={\"filter.prettyNodeFltr\":this.view.getNodeFilter(\"pretty\"),\"filter.prettyEdgeFltr\":this.view.getEdgeTypeFilter(\"pretty\"),\"inherited-style\":i};var n={view:this.view.getLabel(),createdOn:this.view.getCreationDate(true),numberOfNodes:Object.keys(a.nodesById).length.toString(),numberOfEdges:Object.keys(a.edgesById).length.toString(),dialog:{preselects:$tw.utils.extend({},s,r)}};$tm.dialogManager.open(\"configureView\",n,function(e,i){if(!e){return}var a=_utils2.default.getPropertiesByPrefix(i.fields,\"config.\",true);var s=t.view.getConfig(\"background_image\");t.view.setConfig(a);if(a[\"physics_mode\"]&&!t.view.isEnabled(\"physics_mode\")){t.view.saveNodePositions(t.network.getPositions())}var r=t.view.getConfig(\"background_image\");if(r&&r!==s){$tm.notify(\"Background changed! You may need to zoom out a bit.\")}var n=_utils2.default.getField(i,\"filter.prettyNodeFltr\",\"\");var o=_utils2.default.getField(i,\"filter.prettyEdgeFltr\",\"\");t.view.setNodeFilter(n);t.view.setEdgeTypeFilter(o)})}},{key:\"handleSaveCanvas\",value:function e(){var t=this;var i=\"$:/temp/tmap/snapshot\";this.createAndSaveSnapshot(100,100,i);var a=this.view.getLabel()+\".png\";var s={dialog:{snapshot:i,view:this.view.getLabel(),preselects:{width:this.canvas.width.toString(),height:this.canvas.height.toString(),name:a,action:\"download\"}}};$tm.dialogManager.open(\"saveCanvas\",s,function(e,a){if(!e)return;var r=a.fields.width||s.dialog.preselects.width;var n=a.fields.height||s.dialog.preselects.height;t.createAndSaveSnapshot(r,n,i);var o=a.fields.name||s.dialog.preselects.imageName;var l=a.fields.action;if(l===\"download\"){t.handleDownloadSnapshot(r,n,o)}else if(l===\"wiki\"){_utils2.default.cp(i,o,true);t.dispatchEvent({type:\"tm-navigate\",navigateTo:o})}else if(l===\"placeholder\"){t.view.addPlaceholder(i)}$tw.wiki.deleteTiddler(\"$:/temp/tmap/snapshot\")})}},{key:\"handleDownloadSnapshot\",value:function e(t,i,a){var s=this.document.createElement(\"a\");var r=this.view.getLabel();s.download=a;s.href=this.getCanvasAsBase64({size:{width:t,height:i}});var n=new MouseEvent(\"click\");s.dispatchEvent(n)}},{key:\"createAndSaveSnapshot\",value:function e(t,i,a,s){$tw.wiki.addTiddler(new $tw.Tiddler({title:s||a,type:\"image/png\",text:this.getCanvasAsBase64({size:{width:t,height:i},withoutPreamble:true})},$tw.wiki.getCreationFields(),$tw.wiki.getModificationFields()));return a}},{key:\"getCanvasAsBase64\",value:function e(){var t=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{},i=t.withoutPreamble,a=t.size;var s=this.graphDomNode.style.width;var r=this.graphDomNode.style.height;if(a){this.graphDomNode.style.width=a.width+\"px\";this.graphDomNode.style.height=a.height+\"px\";this.network.redraw()}var n=this.canvas.toDataURL(\"image/png\");if(a){this.graphDomNode.style.width=s;this.graphDomNode.style.height=r;this.network.redraw()}return i?_utils2.default.getWithoutPrefix(n,\"data:image/png;base64,\"):n}},{key:\"handleDeleteView\",value:function e(){var t=this;var i=this.view.getLabel();if(this.view.isLocked()){$tm.notify(\"Forbidden!\");return}var a=this.view.getOccurrences();if(a.length){var s={count:a.length.toString(),refFilter:_utils2.default.joinAndWrap(a,\"[[\",\"]]\")};$tm.dialogManager.open(\"cannotDeleteViewDialog\",s);return}var r=\"\\n        You are about to delete the view ''\"+i+\"''\\n        (no tiddler currently references this view).\\n     \";this.openStandardConfirmDialog(function(e){if(!e){return}t.view.destroy();t.setView($tm.misc.defaultViewLabel);var a='view \"'+i+\"' deleted\";t.logger(\"debug\",a);$tm.notify(a)},r)}},{key:\"handleTriggeredRefresh\",value:function e(t){this.logger(\"log\",t,\"Triggered a refresh\");var i=_utils2.default.getTiddler(_utils2.default.getText(t));if(this.view.isLiveView()){if(i){if(this.view.isEnabled(\"neighbourhood_trace_clicks\")){this.trace[i.fields.title]=true}var a=i.fields[\"tmap.open-view\"]||$tm.config.sys.liveTab.fallbackView;if(a&&a!==this.view.getLabel()){this.setView(a);return}}}this.rebuildGraph({resetFocus:{delay:1e3,duration:1e3}})}},{key:\"handleRemoveElements\",value:function e(t){var i=t.nodes,a=t.edges;if(i.length){this.handleRemoveNodes(i)}else if(a.length){this.handleRemoveEdges(a)}this.resetVisManipulationBar()}},{key:\"handleRemoveEdges\",value:function e(t){$tm.adapter.deleteEdges(this.graphData.edges.get(t));$tm.notify(\"edge\"+(t.length>1?\"s\":\"\")+\" removed\")}},{key:\"handleRemoveNodes\",value:function e(t){var i=this;var a=$tm.adapter.getTiddlersByIds(t);var s={count:t.length.toString(),tiddlers:$tw.utils.stringifyList(a),dialog:{preselects:{\"delete-from\":\"filter\"}}};$tm.dialogManager.open(\"deleteNodeDialog\",s,function(e,a){if(!e)return;var s=0;for(var r=t.length;r--;){var n=i.view.removeNode(t[r]);if(n){s++}}if(a.fields[\"delete-from\"]===\"system\"){$tm.adapter.deleteNodes(t);s=t.length}i.isPreventZoomOnNextUpdate=true;$tm.notify(\"\\n        Removed \"+s+\"\\n        of \"+t.length+\"\\n        from \"+a.fields[\"delete-from\"]+\"\\n      \")})}},{key:\"toggleEnlargedMode\",value:function e(t){if(!this.isInSidebar&&t===\"halfscreen\"){return}this.logger(\"log\",\"Toggled graph enlargement\");var i=this.enlargedMode;if(i){this.network.setOptions({clickToUse:this.clickToUse});_utils2.default.findAndRemoveClassNames([\"tmap-has-\"+i+\"-widget\",\"tmap-\"+i]);this.enlargedMode=null;document.body.scrollTop=this.scrollTop}if(!i||i!==t&&(t===\"fullscreen\"||t===\"halfscreen\"&&!this.isInSidebar)){this.scrollTop=document.body.scrollTop;this.enlargedMode=t;var a=this.isInSidebar?this.sidebar:_utils2.default.getFirstElementByClassName(\"tc-story-river\");$tw.utils.addClass(this.document.body,\"tmap-has-\"+t+\"-widget\");$tw.utils.addClass(a,\"tmap-has-\"+t+\"-widget\");$tw.utils.addClass(this.domNode,\"tmap-\"+t);this.network.setOptions({clickToUse:false});$tm.notify(\"Toggled \"+t+\" mode\")}this.handleResizeEvent()}},{key:\"handleGenerateWidget\",value:function e(t){$tw.rootWidget.dispatchEvent({type:\"tmap:tm-generate-widget\",paramObject:{view:this.view.getLabel()}})}},{key:\"handleSetCentralTopic\",value:function e(t){var i=t.paramObject;var a=i.id||this.network.getSelectedNodes()[0];if(a===this.view.getConfig(\"central-topic\")){a=\"\"}this.view.setCentralTopic(a)}},{key:\"handleVisStabilizedEvent\",value:function e(t){if(this.hasNetworkStabilized){return}this.hasNetworkStabilized=true;this.logger(\"log\",\"Network stabilized after\",t.iterations,\"iterations\");if(!this.view.isEnabled(\"physics_mode\")){var i=this.graphData.nodesById;var a=[];for(var s in i){if(i[s].x===undefined){a.push(s)}}if(a.length){this.setNodesMoveable(a,false);$tm.notify(a.length+\" nodes were added to the graph\")}var r=this.visOptions.physics;r[r.solver].centralGravity=0;this.network.setOptions(this.visOptions)}if(this.resetFocus){this.fitGraph(this.resetFocus.delay,this.resetFocus.duration);this.resetFocus=null}}},{key:\"handleFocusNode\",value:function e(t){var i=t.param;this.network.focus($tm.adapter.getId(i),{scale:1.5,animation:true})}},{key:\"isZombieWidget\",value:function e(){return this.domNode.isTiddlyWikiFakeDom===true||!this.document.body.contains(this.getContainer())}},{key:\"fitGraph\",value:function e(){var t=this;var i=arguments.length>0&&arguments[0]!==undefined?arguments[0]:0;var a=arguments.length>1&&arguments[1]!==undefined?arguments[1]:0;clearTimeout(this.activeFitTimeout);var s=function e(){if(t.isZombieWidget()){return}t.network.redraw();t.network.fit({animation:{duration:a,easingFunction:\"easeOutQuart\"}})};this.activeFitTimeout=setTimeout(s,i)}},{key:\"handleInsertNode\",value:function e(t){var i=this;$tm.dialogManager.open(\"addNodeToMap\",{},function(e,a){if(!e){return}var s=_utils2.default.getField(a,\"draft.title\").trim();if(_utils2.default.tiddlerExists(s)){if(_utils2.default.isMatch(s,i.view.getNodeFilter(\"compiled\"))){$tm.notify(\"Node already exists\");return}else{t=$tm.adapter.makeNode(s,t);i.view.addNode(t)}}else{var r=new $tw.Tiddler(a,{\"draft.title\":null});t.label=s;$tm.adapter.insertNode(t,i.view,r)}i.isPreventZoomOnNextUpdate=true})}},{key:\"handleEditNode\",value:function e(t){var i=this;var a=$tm.tracker.getTiddlerById(t.id);var s=_utils2.default.getTiddler(a);var r=$tm.config.vis.nodes;var n=_utils2.default.parseJSON(this.view.getConfig(\"vis\"),{}).nodes;var o={};o[t.id]=t;var l=$tm.adapter.getInheritedNodeStyles(o);var d=l[a];var h=_utils2.default.merge({},{color:s.fields[\"color\"]},_utils2.default.parseJSON(s.fields[\"tmap.style\"]));var u=this.view.getLabel();var g=_extends({},this.view.getNodeData(t.id));delete g.x;delete g.y;var f={view:u,tiddler:s.fields.title,tidColor:s.fields[\"color\"],tidIcon:s.fields[$tm.field.nodeIcon]||s.fields[\"tmap.fa-icon\"],tidLabelField:\"global.\"+$tm.field.nodeLabel,tidIconField:\"global.\"+$tm.field.nodeIcon,dialog:{preselects:{\"inherited-global-default-style\":JSON.stringify(r),\"inherited-local-default-style\":JSON.stringify(n),\"inherited-group-styles\":JSON.stringify(d),\"global.tmap.style\":JSON.stringify(h),\"local-individual-node-style\":JSON.stringify(g)}}};var v=function e(t,i,a){for(var s=a.length;s--;){f.dialog.preselects[t+\".\"+a[s]]=i[a[s]]||\"\"}};v(\"local\",g,[\"label\",\"tw-icon\",\"fa-icon\",\"open-view\"]);v(\"global\",s.fields,[$tm.field.nodeLabel,$tm.field.nodeIcon,\"tmap.fa-icon\",\"tmap.open-view\"]);$tm.dialogManager.open(\"editNode\",f,function(e,s){if(!e)return;var r=s.fields;var n=_utils2.default.getPropertiesByPrefix(r,\"global.\",true);for(var o in n){_utils2.default.setField(a,o,n[o]||undefined)}var l=_utils2.default.getPropertiesByPrefix(r,\"local.\",true);var d=_utils2.default.parseJSON(r[\"local-individual-node-style\"],{});for(var h in l){d[h]=l[h]||undefined}i.view.saveNodeStyle(t.id,d);i.isPreventZoomOnNextUpdate=true})}},{key:\"handleVisSingleClickEvent\",value:function e(t){var i=_utils2.default.isTrue($tm.config.sys.singleClickMode);if(i&&!this.editorMode){this.handleOpenMapElementEvent(t)}}},{key:\"handleVisDoubleClickEvent\",value:function e(t){if(t.nodes.length||t.edges.length){if(this.editorMode||!_utils2.default.isTrue($tm.config.sys.singleClickMode)){this.handleOpenMapElementEvent(t)}}else{if(this.editorMode){this.handleInsertNode(t.pointer.canvas)}}}},{key:\"handleOpenMapElementEvent\",value:function e(t){var i=this;var a=t.nodes,s=t.edges;if(a.length){var r=this.graphData.nodesById[a[0]];if(this.view.isEnabled(\"neighbourhood_trace_clicks\")){this.trace[$tm.adapter.getTiddlerById(r.id)]=true;this.isPreventZoomOnNextUpdate=Date.now()+500;this.rebuildGraph();if(this.view.isEnabled(\"neighbourhood_focus_newly_traced_node\")){setTimeout(function(){i.network.focus(r.id,{scale:1,animation:true})},1500)}}if(r[\"open-view\"]){$tm.notify(\"Switching view\");this.setView(r[\"open-view\"])}else{this.openTiddlerWithId(a[0])}}else if(s.length){this.logger(\"debug\",\"Clicked on an Edge\");var n=this.graphData.edgesById[s[0]].type;this.handleEditEdgeType(n)}else{return}this.hidePopups(0,true)}},{key:\"handleEditEdgeType\",value:function e(t){if(!this.editorMode)return;var i=$tm.config.sys.edgeClickBehaviour;if(i!==\"manager\")return;$tw.rootWidget.dispatchEvent({type:\"tmap:tm-manage-edge-types\",paramObject:{type:t}})}},{key:\"handleResizeEvent\",value:function e(t){if(this.isZombieWidget())return;var i=this.getAttr(\"height\");var a=this.getAttr(\"width\");if(this.isInSidebar){var s=this.domNode.getBoundingClientRect();var r=15;a=document.body.clientWidth-s.left-r+\"px\";var n=parseInt(this.getAttr(\"bottom-spacing\"))||15;var o=window.innerHeight-s.top;i=o-n+\"px\"}this.domNode.style.height=i||\"300px\";this.domNode.style.width=a;this.repaintGraph()}},{key:\"handleClickEvent\",value:function e(t){if(this.isZombieWidget()||!this.network)return;if(!this.graphDomNode.contains(t.target)){var i=this.network.getSelection();if(i.nodes.length||i.edges.length){this.logger(\"debug\",\"Clicked outside; deselecting nodes/edges\");this.network.selectNodes([]);this.resetVisManipulationBar()}}else{this.canvas.focus()}if(t.button!==2){this.contextMenu.hide(0,true)}}},{key:\"handleVisSelectNode\",value:function e(t){var i=t.nodes;if(!this.isDraggingAllowed(i)){return}this.assignActiveStyle(i)}},{key:\"isDraggingAllowed\",value:function e(t){var i=t.nodes;return this.editorMode||this.view.isEnabled(\"physics_mode\")}},{key:\"assignActiveStyle\",value:function e(t){if(!Array.isArray(t))t=[t];var i=this.visOptions.nodes.color;for(var a=t.length;a--;){var s=t[a];var r=this.graphData.nodesById[s];var n=_utils2.default.merge({},i,r.color);this.graphData.nodes.update({id:s,color:{highlight:n,hover:n}})}}},{key:\"handleVisDeselectNode\",value:function e(t){}},{key:\"handleVisDragEnd\",value:function e(t){var i=t.nodes;if(!i.length){return}if(i.length===1&&this.view.isEnabled(\"raster\")){var a=this.network.getPositions()[i[0]];this.graphData.nodes.update(_extends({id:i[0]},_utils2.default.getNearestRasterPosition(a,parseInt(this.view.getConfig(\"raster\")))))}this.draggedNode=null;this.setNodesMoveable(i,false)}},{key:\"handleVisBeforeDrawing\",value:function e(t){var i=this.view,a=this.network,s=this.backgroundImage;if(s){t.drawImage(s,0,0)}if(i.isEnabled(\"raster\")){_utils2.default.drawRaster(t,a.getScale(),a.getViewPosition(),parseInt(i.getConfig(\"raster\")))}}},{key:\"handleVisAfterDrawing\",value:function e(t){if(this.selectRect){var i=this.selectRect.getRect();t.beginPath();t.globalAlpha=.5;t.fillStyle=\"#EAFFEF\";t.fillRect.apply(t,_toConsumableArray(i));t.beginPath();t.globalAlpha=1;t.strokeStyle=\"#B4D9BD\";t.strokeRect.apply(t,_toConsumableArray(i))}if(this.draggedNode&&this.view.isEnabled(\"raster\")){var a=this.network.getPositions()[this.draggedNode];var s=_utils2.default.getNearestRasterPosition(a,parseInt(this.view.getConfig(\"raster\")));t.strokeStyle=\"green\";t.fillStyle=\"green\";t.beginPath();t.moveTo(a.x,a.y);t.lineTo(s.x,s.y);t.stroke();t.beginPath();t.arc(s.x,s.y,5,0,Math.PI*2);t.fill()}}},{key:\"constructTooltip\",value:function e(t,i){var a=_utils2.default.parseJSON(t);var s=a.node||a.edge;var r=null;var n=\"text/html\";var o=\"text/vnd-tiddlywiki\";if(a.node){var l=$tm.tracker.getTiddlerById(s);var d=_utils2.default.getTiddler(l);var h=d.fields[$tm.field.nodeInfo];if(h){i.innerHTML=$tw.wiki.renderText(n,o,h)}else if(d.fields.text){_utils2.default.registerTransclude(this,\"tooltipWidget\",l);this.tooltipWidget.setVariable(\"tv-tiddler-preview\",\"yes\");this.tooltipWidget.render(i)}else{i.innerHTML=l}}else{var u=this.graphData.edgesById[s];var g=$tm.indeces.allETy[u.type];if(g.description){r=$tw.wiki.renderText(n,o,g.description)}i.innerHTML=r||g.label||g.id}}},{key:\"handleVisHoverElement\",value:function e(t){if($tm.mouse.buttons)return;var i=t.node||t.edge;var a=JSON.stringify(t);if(t.node){this.assignActiveStyle(i)}if(!this.isVisInEditMode()&&!this.contextMenu.isShown()){var s=this.constructTooltip;this.tooltip.show(a,s)}}},{key:\"handleVisBlurElement\",value:function e(t){this.tooltip.hide()}},{key:\"handleVisLoading\",value:function e(t){var i=t.total,a=t.iterations;this.graphLoadingBarDomNode.style.display=\"block\";this.graphLoadingBarDomNode.setAttribute(\"max\",i);this.graphLoadingBarDomNode.setAttribute(\"value\",a)}},{key:\"handleVisLoadingDone\",value:function e(t){this.graphLoadingBarDomNode.style.display=\"none\"}},{key:\"handleVisDragStart\",value:function e(t){var i=t.nodes;if(!i.length||!this.isDraggingAllowed(i)){return}this.hidePopups(0,true);this.assignActiveStyle(i);this.setNodesMoveable(i,true);if(i.length===1){this.draggedNode=i[0]}}},{key:\"destruct\",value:function e(){_utils2.default.setDomListeners(\"remove\",window,this.windowDomListeners);_utils2.default.setDomListeners(\"remove\",this.domNode,this.widgetDomListeners);this._destructVis()}},{key:\"_destructVis\",value:function e(){if(!this.network)return;_utils2.default.setDomListeners(\"remove\",this.canvas,this.canvasDomListeners);this.network.destroy();this.network=null}},{key:\"openTiddlerWithId\",value:function e(t){var i=this;var a=$tm.tracker.getTiddlerById(t);this.logger(\"debug\",\"Opening tiddler\",a,\"with id\",t);if(this.enlargedMode===\"fullscreen\"){var s=$tw.wiki.findDraft(a);var r=!!s;if(!r){var n=\"tm-edit-tiddler\";this.dispatchEvent({type:n,tiddlerTitle:a});s=$tw.wiki.findDraft(a)}var o={draftTRef:s,originalTRef:a};$tm.dialogManager.open(\"fullscreenTiddlerEditor\",o,function(e,t){if(e){var n=\"tm-save-tiddler\";i.dispatchEvent({type:n,tiddlerTitle:s})}else if(!r){_utils2.default.deleteTiddlers([s])}var o=\"tm-close-tiddler\";i.dispatchEvent({type:o,tiddlerTitle:a})})}else{var l=this.domNode.getBoundingClientRect();this.dispatchEvent({type:\"tm-navigate\",navigateTo:a,navigateFromTitle:this.getVariable(\"storyTiddler\"),navigateFromNode:this,navigateFromClientRect:{top:l.top,left:l.left,width:l.width,right:l.right,bottom:l.bottom,height:l.height}})}}},{key:\"getViewHolderRef\",value:function e(){if(this.viewHolderRef){return this.viewHolderRef}this.logger(\"info\",\"Retrieving or generating the view holder reference\");var t=this.getAttr(\"view\");var i=null;if(t){this.logger(\"log\",'User wants to bind view \"'+t+\"' to graph\");var a=$tm.path.views+\"/\"+t;if($tw.wiki.getTiddler(a)){i=$tm.path.localHolders+\"/\"+_utils2.default.genUUID();this.logger(\"log\",'Created an independent temporary view holder \"'+i+'\"');_utils2.default.setText(i,a);this.logger(\"log\",'View \"'+a+\"' inserted into independend holder\")}else{this.logger(\"log\",'View \"'+t+'\" does not exist')}}if(!i){this.logger(\"log\",\"Using default (global) view holder\");i=$tm.ref.defaultViewHolder}return i}},{key:\"setView\",value:function e(t,i){if(!_ViewAbstraction2.default.exists(t)){return}t=new _ViewAbstraction2.default(t);var a=t.getLabel();i=i||this.viewHolderRef;this.logger(\"info\",'Inserting view \"'+a+'\" into holder \"'+i+'\"');$tw.wiki.addTiddler(new $tw.Tiddler({title:i,text:a}));this.update({changedTiddlers:_defineProperty({},i,true)})}},{key:\"getView\",value:function e(t){if(!t&&this.view){return this.view}var i=this.getViewHolderRef();var a=_utils2.default.getText(i);this.logger(\"debug\",\"Retrieved view from holder\");var s=void 0;if(_ViewAbstraction2.default.exists(a)){s=new _ViewAbstraction2.default(a)}else{this.logger(\"debug\",'Warning: View \"'+a+\"\\\" doesn't exist. Default is used instead.\");s=new _ViewAbstraction2.default(\"Default\")}return s}},{key:\"reloadBackgroundImage\",value:function e(t){var i=this;this.backgroundImage=null;var a=this.view.getConfig(\"background_image\");var s=_utils2.default.getTiddler(a);if(!s&&!a)return;var r=new Image;r.onload=function(){i.backgroundImage=r;i.repaintGraph()};if(s){var n=s.fields[\"_canonical_uri\"];if(n){r.src=n}else if(s.fields.text){r.src=$tw.utils.makeDataUri(s.fields.text,s.fields.type)}}else if(a){r.src=a}}},{key:\"repaintGraph\",value:function e(){var t=$tw.utils.hasClass(this.document.body,\"tmap-has-fullscreen-widget\");if(this.network&&(!t||t&&this.enlargedMode)){this.logger(\"info\",\"Repainting the whole graph\");this.network.redraw();this.fitGraph(0,1e3)}}},{key:\"setGraphButtonEnabled\",value:function e(t,i){var a=\"vis-button tmap-\"+t;var s=_utils2.default.getFirstElementByClassName(a,this.domNode);$tw.utils.toggleClass(s,\"tmap-button-enabled\",i)}},{key:\"setNodesMoveable\",value:function e(t,i){if(!t||!t.length||this.view.isEnabled(\"physics_mode\")){return}var a=[];var s=!i;for(var r=t.length;r--;){a.push({id:t[r],fixed:{x:s,y:s}})}this.graphData.nodes.update(a);if(s){this.logger(\"debug\",\"Fixing\",a.length,\"nodes\");this.view.saveNodePositions(this.network.getPositions());this.isPreventZoomOnNextUpdate=true}}},{key:\"addGraphButtons\",value:function e(t){var i=_utils2.default.getFirstElementByClassName(\"vis-navigation\",this.domNode);for(var a in t){var s=this.document.createElement(\"div\");s.className=\"vis-button tmap-\"+a;s.addEventListener(\"click\",t[a].bind(this),false);i.appendChild(s);this.setGraphButtonEnabled(a,true)}}}]);return t}(_widget.widget);exports.tmap=MapWidget;exports.tiddlymap=MapWidget;\n//# sourceMappingURL=./maps/felixhayashi/tiddlymap/js/widget/MapWidget.js.map\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/plugins/felixhayashi/tiddlymap/license": {
            "title": "$:/plugins/felixhayashi/tiddlymap/license",
            "subtitle": "License",
            "caption": "License",
            "text": "\\rules except wikilink\n\n!! TiddlyMap\n\nCopyright (c) 2014, Felix Küppers\nAll rights reserved.\n\nTiddlyMap is licensed under the [[BSD 2-Clause License|http://opensource.org/licenses/BSD-2-Clause]]. For the exact license terms, please visit [[https://github.com/felixhayashi/TW5-TiddlyMap/blob/master/LICENSE]]. \n\n!! TiddlyWiki\n\nCreated by Jeremy Ruston, (jeremy [at] jermolene [dot] com)\n\nCopyright © Jeremy Ruston 2004-2007 Copyright © UnaMesa Association 2007-2014\n\nPublished under the following [licenses](https://github.com/Jermolene/TiddlyWiki5/tree/master/licenses):\n\n# BSD 3-clause \"New\" or \"Revised\" License (including any right to adopt any future version of a license if permitted)\n# Creative Commons Attribution 3.0 (including any right to adopt any future version of a license if permitted)\n\n!! Vis.js\n\nCopyright (c) 2014 [Almende B.V.](https://github.com/almende/vis)\n\nPublished under the following licenses:\n\n# Apache License Version 2.0, January 2004 http://www.apache.org/licenses/\n# MIT License (MIT)\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/readme": {
            "title": "$:/plugins/felixhayashi/tiddlymap/readme",
            "text": "* Please refer to the project-readme hosted at [[https://github.com/felixhayashi/TW5-TiddlyMap]].\n* A demo with several examples and explanations can be found at [[http://tiddlymap.org]]."
        },
        "$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes/tmap:unknown": {
            "title": "$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes/tmap:unknown",
            "description": "Automatically assigned to an edge that does not have a type assigned",
            "style": "{\"color\":\"gray\"}",
            "show-label": "false"
        },
        "$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes/tw-body:link": {
            "title": "$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes/tw-body:link",
            "description": "A link that is contained in the tiddler's body pointing to another resource.",
            "style": "{\"color\":\"orange\", \"dashes\":true}",
            "label": "links to",
            "text": ""
        },
        "$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes/tw-list:list": {
            "title": "$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes/tw-list:list",
            "description": "Contained in a list of this tiddler",
            "style": "{ \"color\": \"red\", \"dashes\":true}",
            "label": "listed in",
            "text": ""
        },
        "$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes/tw-list:tags": {
            "title": "$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes/tw-list:tags",
            "description": "A tag that refers to a tiddler of the same name.",
            "style": "{ \"color\": \"darkslategray\", \"dashes\":true}",
            "label": "tagged with"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/default": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/default",
            "caption": "Overview",
            "text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-plain\">\n  Please visit the [[online docs|http://tiddlymap.org/Documentation]]\n  for more information about the available global options.\n</div>\n<table class=\"tmap-key-value-table\">\n  <tr>\n    <th align=\"left\">Plugin version</th>\n    <td><<pluginVersion>></td>\n  </tr>\n<!--\n  <tr>\n    <th align=\"left\">Datastructure version</th>\n    <td><<dataStructureVersion>></td>\n  </tr>\n-->\n  <tr>\n    <th align=\"left\">Nodes in system</th>\n    <td><<numberOfNodes>></td>\n  </tr>\n  <tr>\n    <th align=\"left\">Edges in system</th>\n    <td><<numberOfEdges>></td>\n  </tr>\n</table>"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/editor": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/editor",
            "caption": "Editor",
            "text": "\\rules except wikilink\n\n<table class=\"tmap-config-table\">\n  <<tmap-row type:\"input-checkbox\"\n      title:\"Show Neighbour&shy;hood menu\"\n      field:\"config.sys.editorMenuBar.showNeighScopeButton\"\n      descr:\"Show or hide the neighbourhood menu button.\">>\n  <<tmap-row type:\"input-checkbox\"\n      title:\"Show Screen&shy;shot menu\"\n      field:\"config.sys.editorMenuBar.showScreenshotButton\"\n      descr:\"Show or hide the screenshot menu button.\">>\n  <<tmap-row type:\"input-checkbox\"\n      title:\"Show Raster&shy; menu\"\n      field:\"config.sys.editorMenuBar.showRasterMenuButton\"\n      descr:\"Show or hide the raster menu button.\">>\n</table>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/fields": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/fields",
            "caption": "Field settings",
            "text": "\\rules except wikilink\n\n<table class=\"tmap-config-table\">\n  <<tmap-row type:\"input-text\"\n      title:\"Node-icon field\"\n      field:\"config.sys.field.nodeIcon\" \n      descr:\"Local image used as node image in the graphs.\">>\n  <<tmap-row type:\"input-text\"\n      title:\"Node-label field\"\n      field:\"config.sys.field.nodeLabel\" \n      descr:\"Alternative node label to use instead of the title.\">>\n  <<tmap-row type:\"input-text\"\n      title:\"Node-info field\"\n      field:\"config.sys.field.nodeInfo\" \n      descr:\"Field used as tooltip when hovering over a node in a graph.\"\n      note:\"It is prohibited to use the text field here.\">>\n</table>   \n\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/interaction": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/interaction",
            "caption": "Interaction & behaviour",
            "text": "\\rules except wikilink\n\n<table class=\"tmap-config-table\">\n  <$macrocall type=\"input-select\"\n        $name=\"tmap-row\"\n        title=\"Default startup view\"\n        field=\"config.sys.defaultView\"\n        nochoice=\"Last view used at startup\"\n        selectFilter=<<tmap \"option\" \"selector.allViewsByLabel\">>\n        descr=\"The view to display at startup\" />\n  <<tmap-row type:\"input-checkbox\"\n      title:\"Show popups\"\n      field:\"config.sys.popups.enabled\"\n      descr:\"Set this to true if you want to see automatic\n             popups in the map.\">>\n  <$list filter=\"[config.sys.popups.enabled[true]]\">\n  <<tmap-row type:\"input-text\"\n      title:\"Popup delay\"\n      field:\"config.sys.popups.delay\"\n      descr:\"The time in miliseconds that needs to pass after\n             a tooltip is triggered.\">>\n  <<tmap-row type:\"input-text\"\n      title:\"Popup width\"\n      field:\"config.sys.popups.width\"\n      descr:\"The default max-width of the popup.\"\n      note:\"Make sure you added the desired unit (e.g. `px`).\n            Requires a wiki refresh.\">>\n  <<tmap-row type:\"input-text\"\n      title:\"Popup height\"\n      field:\"config.sys.popups.height\"\n      descr:\"The default max-height of the popup.\"\n      note:\"Make sure you added desired the unit (e.g.  `px`).\n            Requires a wiki refresh.\">>\n  </$list>\n  <<tmap-row type:\"input-checkbox\"\n      title:\"Allow single click mode\"\n      field:\"config.sys.singleClickMode\"\n      descr:\"A single click on a node is sufficient to open the\n             corresponding tiddler.\"\n      note:\"Drag and drop will still work and does not cause a\n            tiddler to be opened. Single click is never active in\n            the map editor.\">>\n  <<tmap-row type:\"input-select\"\n      title:\"Edge click behaviour\"\n      field:\"config.sys.edgeClickBehaviour\"\n      selectFilter:\"[[nothing|Nothing]]\n                    [[manager|Open edge-type manager]]\"\n      descr:\"What should happen when you click on an edge?\">>\n  <<tmap-row type:\"input-select\" title:\"Raster size\" field:\"config.sys.raster\"\n      selectFilter:\"[[|disabled]] [[5|5px]] [[10|10px]] [[15|15px]] [[20|20px]] [[30|30px]] [[40|40px]]\"\n      descr:\"Snap nodes to an invisible raster of the given size after drag'n'drop.\"\n      note:\"Only works when the view is not in floating mode\">>\n  <<tmap-row type:\"input-checkbox\"\n      title:\"Apply node-filter to neighbours\"\n      field:\"config.sys.nodeFilterNeighbours\"\n      descr:\"If checked, neighbours displayed in the map will be filtered\n      by the view's node-filter. Otherwise the node-filter will only be used\n      to filter the original set of nodes in the map\">>\n</table>\n\n!! Suppressed dialogs\n\n<div class=\"tmap-flash-message tmap-plain\">\n  Dialogs that you decided to suppress in the past are listed here.\n  Remove the checkmark to enable dialogs again.\n</div>\n\n<table class=\"tmap-config-table\">\n  <$list\n      filter=\"[<output>fields[]prefix[config.sys.suppressedDialogs]]\"\n      emptyMessage=\"–\">\n      <$set name=\"dialogName\" value=<<tmap basename \".\">>>\n      <$macrocall $name=\"tmap-row\"\n            type=\"input-checkbox\"\n            title=\"Suppress '$(dialogName)$' dialog\"\n            field=<<currentTiddler>> />\n      </$set>\n    <br />\n  </$list>\n</table>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/liveTab": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/liveTab",
            "caption": "Live tab",
            "text": "\\rules except wikilink\n\n<table class=\"tmap-config-table\">\n  <<tmap-row type:\"input-checkbox\"\n      title:\"Show Live tab\"\n      field:\"liveTab\" \n      descr:\"Show or hide the live tab in the sidebar.\">>\n  <$macrocall type=\"input-select\"\n      $name=\"tmap-row\"\n      title=\"Fallback view\"\n      field=\"config.sys.liveTab.fallbackView\" \n      selectFilter=<<tmap \"option\" \"selector.allViewsByLabel\">>\n      descr=\"The view to display in the sidebar's live tab in\n             case the current tiddler did not specify a view\n             to open.\" />\n</table>"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig",
            "subtitle": "{{$:/core/images/options-button}} Global configuration of TiddlyMap",
            "classes": "tmap-remove-top-space",
            "text": "\\rules except wikilink\n\n<$macrocall $name=\"tabs\"\n  default=<<concat \"$(template)$/default\">>\n  tabsList=\"[all[shadows]prefix<template>] -[<template>]\"\n/>"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/verbosity": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/verbosity",
            "caption": "Verbosity",
            "text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-plain\">\n  Here you can restrict the system's talkativeness.\n</div>\n\n<table class=\"tmap-config-table\">\n  <<tmap-row type:\"input-checkbox\"\n      title:\"Debug output\"\n      field:\"config.sys.debug\" \n      descr:\"Set this to true if you want debug information to be\n             displayed in the browser console.\">>\n  <<tmap-row type:\"input-checkbox\"\n      title:\"Show notifications\"\n      field:\"config.sys.notifications\" \n      descr:\"Set this to true if you want to receive fade-out\n             notifications for important events.\">>\n</table> "
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/vis": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/globalConfig/vis",
            "classes": "tmap-remove-top-space",
            "caption": "Graph",
            "text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-info\">\n  The global vis configurations will affect all views and their\n  elements (nodes and edges) unless they are overridden on a lower\n  level. All options below are documented at\n  [[vis.js.org|http://visjs.org/docs/network]].\n</div>\n<div class=\"tmap-flash-message tmap-info\">\n  Only config items that you actually changed have an effect on\n  the graph. Other options are visible, yet, inactive.\n</div>\n<$tmap-config\n    mode=\"manage-config\"\n    inherited=\"inherited-style\"\n    extension=\"config.vis\" />\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/configureView/default": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/configureView/default",
            "caption": "Overview",
            "text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-info\">\n   All configurations __only__ affect this view.\n</div>\n\n<table class=\"tmap-key-value-table\">\n  <tr>\n    <th align=\"left\">Created on</th>\n    <td><<createdOn>></td>\n  </tr>\n  <tr>\n    <th align=\"left\">Nodes contained in graph</th>\n    <td><<numberOfNodes>></td>\n  </tr>\n  <tr>\n    <th align=\"left\">Edges contained in graph</th>\n    <td><<numberOfEdges>></td>\n  </tr>\n</table>"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/configureView/editFilters": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/configureView/editFilters",
            "caption": "Edit filters",
            "text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-info\">\n  Completely new to filters? Please read\n  [[Introduction to filter notation|http://tiddlywiki.com/#Introduction%20to%20filter%20notation]]\n  first.\n</div>\n\n<fieldset>\n  <legend>Filters <sup>[1]</sup></legend>\n  <table class=\"tmap-config-table tmap-large-input\">\n    <<tmap-row type:\"input-textarea\"\n        title:\"Node filter\"\n        field:\"filter.prettyNodeFltr\"\n        descr:\"In the map, only those tiddlers that match this filter\n               are shown. Drafts and system tiddlers are automatically\n               excluded.\">>\n    <<tmap-row type:\"input-textarea\"\n        title:\"Edge-type filter\"\n        field:\"filter.prettyEdgeFltr\" \n        descr:\"Only edges with a type that matches the filter are shown.\">>\n  </table>   \n</fieldset>\n\n---\n\n<sup>[1]</sup> In the editors above, a new line is equivalent to a space symbol.<br />\n<sup>[2]</sup> It is suggested to read\n[[Node and edge-type filters|http://tiddlymap.org#Node%20and%20edge-type%20filters]]\nand [[Edge-type namespaces|http://tiddlymap.org#Node%20and%20edge-type%20filters]]\nbefore using Tiddlymap's filter editor."
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/configureView/layout": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/configureView/layout",
            "caption": "Layout",
            "text": "\\rules except wikilink\n\n<table class=\"tmap-config-table\">\n  <<tmap-row type:\"input-checkbox\"\n      title:\"Floating nodes\"\n      field:\"config.physics_mode\"\n      descr:\"Set this to true if you want your nodes to freely\n             swirl around.\">>\n  <<tmap-row type:\"input-text\"\n      title:\"Background image\"\n      field:\"config.background_image\"\n      descr:\"The title of an image tiddler to be used as background\n             in the view.\"\n      note:\"You can also use an image url directly, however, the\n            image needs be stored under the same domain as your wiki.\n            Otherwise, it won't be displayed!\">>\n</table>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/configureView/namespace": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/configureView/namespace",
            "caption": "Namespace",
            "text": "\\rules except wikilink\n\n<table class=\"tmap-config-table tmap-small-input\">\n  <<tmap-row type:\"input-text\"\n      title:\"Edge-type namespace\"\n      field:\"config.edge_type_namespace\" \n      descr:\"A namespace (like `foaf` in `foaf:knows`) that will be\n             automatically added to all edge types you create in\n             this view. The namespace is only added if the types\n             do not exist yet and do not have a namespace assigned yet.\n             Namespaces are always hidden in the graph.\"\n      note:\"Most likely, you don't want the edges created with this\n            namespace to leak into other views, moreover, you don't\n            want edges that do not possess the namespace ever to be\n            shown here. In this case, use a private marker (`_`)\n            in front of your namespace, e.g. `_mynamespace` and use\n            an appropriate edge type filter, i.e. `+[prefix[_mynamespace]]`\n            For further information see:\n            \n            * [[Edge-type namespaces|http://tiddlymap.org/#Edge-type%20namespaces]]\n            * [[Private edge types|http://tiddlymap.org/#Private%20edge%20types]]\n            \">>\n</table>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/configureView": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/configureView",
            "subtitle": "{{$:/core/images/options-button}} View configuration -- <<view>>",
            "text": "\\rules except wikilink\n\n\\define privateEdgeTypes() [[private edge-types|http://tiddlymap.org/#Private%20edge%20types]]\n\n<$macrocall $name=\"tabs\"\n  default=<<concat \"$(template)$/default\">>\n  tabsList=\"[all[shadows]prefix<template>] -[<template>]\"\n/>"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/configureView/vis": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/configureView/vis",
            "caption": "Graph",
            "text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-info\">\n   The local vis configurations will affect all\n   elements (nodes and edges) of this view, unless they are\n   overridden on a lower level. All options below are documented at\n   [[vis.js.org|http://visjs.org/docs/network]].\n</div>\n<div class=\"tmap-flash-message tmap-info\">\n  Only config items that you actually changed have an effect on the\n  graph. Other options are visible, yet, inactive.\n</div>\n<$tmap-config\n    mode=\"manage-config\"\n    inherited=\"inherited-style\"\n    extension=\"config.vis\" />\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/getEdgeType": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/getEdgeType",
            "subtitle": "{{$:/plugins/felixhayashi/tiddlymap/icon}} Edge type specification",
            "text": "\\rules except wikilink\n\\rules except underscore\n\n\\define filter() $(allEdgeTypes)$ +[search:title[$(term)$]]\n\n\\define badge(color, label, tooltip)\n<span style=\"background: $color$\" title=\"$tooltip$\">$label$</span>\n\\end\n\n\\define badges()\n<$tiddler tiddler={{!!text}}>\n<$set name=\"id\" value=<<tmap \"getETyId\" \"$(view)$\">>>\n<$set name=\"isVisible\" value=<<tmap \"isETyVisible\" \"$(view)$\">>>\n<div class=\"tmap-badges\">\n  <span\n      style=\"background: darkslategray\"\n      title=\"Your input translates into this id.\">\n  <<id>>\n  </span>\n  <$list filter=\"[<isVisible>regexp[true]]\">\n    <<badge \"green\" \"visible\" \"Matches your view's filter\">>\n  </$list>\n  <$list filter=\"[<isVisible>regexp[false]]\">\n    <<badge \"red\" \"not visible\" \"Doesn't match your view's filter\">>\n  </$list>\n  <$list filter=\"[<id>!regexp[^tmap:unknown$]]\" variable=\"item\">\n    <$list filter=\"[<id>regexp[^_]]\">\n      <<badge \"purple\" \"private\" \"Not shown in other views per default\">>\n    </$list>\n    <$list filter=\"[<id>regexp[.+:.+]]\">\n      <<badge \"orange\" \"namespace\" \"This type is prefixed with a proper namespace\">>\n    </$list>\n  </$list>\n</div>\n</$set>\n</$set>\n</$tiddler>\n\\end\n\n\\define search()\n<p>\n  You are about to connect \"<$text text=\"$(fromLabel)$\" />\"\n  with \"<$text text=\"$(toLabel)$\" />\". Please specify a type.\n</p>\n<table id=\"tmap-search-table\">\n  <tr>\n    <td><b>Type:</b></td>\n    <td>\n      <$edit-text\n          focus=\"true\"\n          field=\"text\"\n          type=\"text\"\n          tag=\"input\"\n          default=\"\"\n          class=\"tmap-trigger-field\n                 tmap-triggers-ok-button-on-enter\n                 tmap-triggers-cancel-button-on-esc\" />\n      <<badges>>\n    </td>\n  </tr>\n  <tr>\n    <td></td>\n    <td>\n      <$set name=\"term\" value={{!!text}}>\n      <$set name=\"allEdgeTypes\" value=<<tmap \"option\" \"selector.allEdgeTypesById\">>>\n      <ul class=\"tmap-small-list\">\n        <$list filter=<<filter>>>\n        <li>\n          <$button class=\"tc-btn-invisible tmap-link\">\n            <$view field=\"title\" />\n            <$action-setfield $tiddler=<<output>> text={{!!title}} />\n          </$button>\n        </li>\n        </$list>\n      </ul>\n      </$set>\n      </$set>\n    </td>\n  </tr>\n</table>\n\\end\n\n<$list filter=\"[<temp>!has[more]]\" variable=\"item\"><<search>></$list>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/addNodeToMap": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/addNodeToMap",
            "subtitle": "{{$:/core/images/tag-button}} Add node",
            "classes": "tmap-modal-add-node",
            "text": "\\rules except wikilink\n\n\\define backButtonText() back to list\n\\define outputAndTemplate() [[$(output)$]] [[$(template)$]]\n\n\\define editor()\n  <$button class=\"tmap-go-back tc-btn-invisible\">\n    {{$:/core/images/chevron-left}} <<backButtonText>>\n    <$action-deletefield $tiddler=<<temp>> more template />\n    <$action-sendmessage\n        $message=\"tmap:tm-clear-tiddler\"\n        keep=\"draft.title\"\n        title=<<output>> />\n  </$button>\n\n  <$list filter=\"[<output>get[draft.title]is[tiddler]]\">\n  <div class=\"tmap-flash-message tmap-warning\">\n   Tiddler already exists! Use another title or click\n   \"<<backButtonText>>\" to cancel your edit.\n  </div>\n  </$list>\n\n  <div class=\"tmap-modal-editor\">\n    <table class=\"tmap-config-table\">\n      <tr class=\"tmap-template-select\">\n        <td>Template</td>\n        <td>\n          <$select\n              tiddler=<<temp>>\n              field=\"template\">\n            <option value=\"\"></option>\n            <$list filter=<<tmap \"option\" \"selector.allPotentialNodes\">>>\n            <option><$view field=\"title\" /></option>\n            </$list>\n          </$select>\n          <$button>Load\n            <$action-sendmessage\n                $message=\"tmap:tm-clear-tiddler\"\n                keep=\"draft.title\"\n                title=<<output>> />\n            <$list filter=\"[<temp>get[template]]\" variable=\"template\">\n            <$action-sendmessage\n                $message=\"tmap:tm-merge-tiddlers\"\n                tiddlers=<<outputAndTemplate>>\n                output=<<output>> />\n            <$action-deletefield $tiddler=<<output>> tmap.id tmap.edges />\n            </$list>\n          </$button>\n       </td>\n       <td>Press the \"load\" button to activate the template.</td>\n      </tr>\n    </table>\n    <$importvariables filter=\"[all[tiddlers+shadows]prefix[$:/core/macros/]]\">\n      <$set name=\"currentTiddler\" value=<<output>>>\n        <$transclude tiddler=\"$:/core/ui/EditTemplate\" mode=\"block\" />\n      </$set>\n    </$importvariables>\n  </div>\n\\end\n\n\\define search()\n<p>Add an existing tiddler to the map or create a new one.</p>\n<table id=\"tmap-search-table\">\n  <tr>\n    <td><b>Title:</b></td>\n    <td>\n      <$edit-text\n          tiddler=<<output>>\n          field=\"draft.title\"\n          focus=\"true\"\n          type=\"text\"\n          tag=\"input\"\n          default=\"\"\n          class=\"tmap-trigger-field\n                 tmap-triggers-ok-button-on-enter\n                 tmap-triggers-cancel-button-on-esc\" />\n      <$list filter=\"[<output>get[draft.title]!is[tiddler]]\">\n      <$button\n          tooltip=\"The tiddler does not exist yet and you may edit it\n                   before it is added to the map\">\n        {{$:/core/images/edit-button}}\n        <$action-setfield $tiddler=<<temp>> more=\"true\" />\n      </$button> <sup>[1]</sup>\n      </$list>\n    </td>\n  </tr>\n  <tr>\n    <td></td>\n    <td>\n      <$set name=\"term\" value={{!!draft.title}}>\n      <ul class=\"tmap-small-list\">\n        <$list filter=\"[search:title<term>!is[system]!has[draft.of]]\">\n        <li>\n          <$button class=\"tc-btn-invisible tmap-link\">\n            <$view field=\"title\" />\n            <$action-setfield $tiddler=<<output>> draft.title={{!!title}} />\n          </$button>\n        </li>\n        </$list>\n      </ul>\n      </$set>\n    </td>\n  </tr>\n</table>\n\n<$list filter=\"[<output>get[draft.title]!is[tiddler]]\">\n<hr />\n<sup>[1]</sup>\n<small>\n  The tiddler does not exist yet and you may edit it\n  before it is added to the map\n</small>\n</$list>\n\\end\n\n<$list filter=\"[<temp>!has[more]]\" variable=\"item\"><<search>></$list>\n<$list filter=\"[<temp>has[more]]\" variable=\"item\"><<editor>></$list>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/cannotDeleteViewDialog": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/cannotDeleteViewDialog",
            "subtitle": "{{$:/core/images/locked-padlock}} You cannot delete this view!",
            "buttons": "ok",
            "text": "\\rules except wikilink\n\nIt is not possible to delete the current view as ''<<count>>'' tiddlers\nare referencing it. To delete the view you must first remove the tiddlymap\nwidgets in the tiddlers listed below or change their view attributes.\n\n''References''\n\n<ul>\n<$list filter=<<refFilter>> variable=\"item\">\n  <li><$link><<item>></$link></li>\n</$list>\n</ul>\n\nAfter the references are removed, you may delete the view.\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/getConfirmation": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/getConfirmation",
            "subtitle": "{{$:/core/images/import-button}} You must confirm in order to proceed!",
            "text": "\\rules except wikilink\n\n<<message>>\n\n''Are you really sure you want to do this?''"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/createView": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/createView",
            "subtitle": "{{$:/core/images/new-button}} Creating a new view",
            "text": "\\rules except wikilink\n\n<table class=\"tmap-config-table\">\n  <<tmap-row type:\"input-text\"\n      title:\"View name\"\n      field:\"name\"\n      focus:\"true\"\n      class:\"tmap-trigger-field\n             tmap-triggers-ok-button-on-enter\n             tmap-triggers-cancel-button-on-esc\"\n      descr:\"The name for the new view. If no name is entered,\n             the program will invent one for you.\"\n      note:\"You cannot override an existing view. In this case,\n            you need to delete the old view first! You must no use\n            slashes (`/`) in the name.\">>\n  <<tmap-row type:\"input-checkbox\"\n      title:\"Clone view\"\n      field:\"clone\"\n      descr:\"Use the view that is currently displayed in the\n             editor as blueprint. The view will be an __exact__\n             clone of the current one, only with a different\n             name.\">>\n</table>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/deleteNodeDialog": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/deleteNodeDialog",
            "subtitle": "{{$:/core/images/delete-button}} You are about to delete <<count>> nodes",
            "text": "\\rules except wikilink\n\n''Please choose an option or abort:''\n\n<$radio tiddler=<<output>> field=\"delete-from\" value=\"system\">\n  Delete nodes from system <sup>[1]</sup>\n</$radio><br />\n<$radio tiddler=<<output>> field=\"delete-from\" value=\"filter\">\n  Delete nodes from graph's filter <sup>[2]</sup>\n</$radio>\n\nThe following nodes will be deleted:\n\n<ul>\n<$list filter=<<tiddlers>>>\n  <li><$view tiddler={{!!title}} field=\"title\" /></li>\n</$list>\n</ul>\n\n---\n\n<sup>[1]</sup>\n<small>This will delete all nodes, their corresponding tiddlers and all connected edges.</small><br/>\n<sup>[2]</sup>\n<small>''Important:'' Removing a node from the graph's filter only works, if the node has been added in the map editor per double click or via \"Add Node\". If the node hasn't been added as mentioned above, you need to change the underlying tiddler in a way that it doesn't match your filter anymore, if you don't want it to be displayed in the graph.</small>"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/dublicateIdInfo": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/dublicateIdInfo",
            "subtitle": "{{$:/core/images/info-button}} Dublicate id detected",
            "buttons": "ok_suppress",
            "text": "\\rules except wikilink\n\nTiddlyMap requires the value of the id field (\"tmap.id\") to be\nunique in order to correctly identify nodes and tiddlers.\n\nThe id of the \"<<param.changedTiddler>>\" already exists for these tiddlers:\n\n<ul>\n<$list filter=<<param.filter>> variable=\"item\">\n  <li><$link><<item>></$link></li>\n</$list>\n</ul>\n\nTherefore TiddlyMap\n\n* assigned a new id to tiddler \"<<param.changedTiddler>>\"\n* removed all edges from \"<<param.changedTiddler>>\"\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/edgeNotVisible": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/edgeNotVisible",
            "subtitle": "{{$:/core/images/info-button}} Edge will not be visible in view \"<<view>>\"",
            "buttons": "ok_suppress",
            "text": "\\rules except wikilink\n\nYou just created an edge of type\n<code><$text text=<<type>> /></code> that will not be\nvisible in this view because it doesn't match your\nedge-type filter settings.\n\nThe current edge-type filter of view \"<<view>>\" looks like this:\n\n<pre><code><$text text=<<eTyFilter>> /></code></pre>\n\nTo have the newly added type displayed in your view, adjust your\nedge-type filter accordingly. \n\nSome suggestions:\n\n<ul>\n  <li>\n    Explicitly add the type to the filter:\n    <code><$text text=\"[[\" /><$text text=<<type>> /><$text text=\"]]\" /></code>\n  </li>\n  <li>\n  <$set\n      filter=\"[<type>regexp[:]splitbefore[:]]\"\n      name=\"prefix\"\n      emptyValue=<<tmap halfOfString \"$(type)$\">>>\n  Add a filter rule (e.g. a prefix filter) that will match\n  your type: <code>[prefix[<<prefix>>]]</code>\n  </$set>\n  </li>\n  <li>Make your current view-filter less restrictive.</li>\n</ul>\n\nFor further information, please see:\n[[Node and edge-type filters|http://tiddlymap.org#Node%20and%20edge-type%20filters]]."
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/editNode/default": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/editNode/default",
            "caption": "Global node style",
            "classes": "tmap-remove-top-space",
            "text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-info\">\n  A node's ''global configuration''\n  (also referred to as //global individual config//) defines its\n  individual appearance and behaviour in all views.\n</div>\n<<maybeShowTidColorWarning>>\n\n<$macrocall $name=\"sharedSettings\"\n    twIconField=<<tidIconField>>\n    faIconField=\"global.tmap.fa-icon\"\n    labelField=<<tidLabelField>> />\n\n<$macrocall $name=\"visConfiguration\"\n    mode=\"manage-node-types\"\n    extensionField=\"global.tmap.style\"\n    styleName=\"node's global style\"\n    inheritedList=\"[[inherited-global-default-style]]\n                   [[inherited-local-default-style]]\n                   [[inherited-group-styles]]\" />\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/editNode/local": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/editNode/local",
            "caption": "Local node style",
            "classes": "tmap-remove-top-space",
            "text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-info\">\n  The ''local node configuration''\n  (also referred to as //view-specific node configuration//)\n  overrides the //global individual configuration// and only affects\n  the node's appearance and behaviour in the current view.\n</div>\n<<maybeShowTidColorWarning>>\n\n<fieldset>\n  <legend>Behaviour</legend>\n  <table class=\"tmap-config-table\">\n    <$macrocall type=\"input-select\"\n        $name=\"tmap-row\"\n        title=\"Open view\"\n        field=\"local.open-view\"\n        nochoice=\"Disabled\"\n        selectFilter=<<tmap \"option\" \"selector.allViewsByLabel\">>\n        descr=\"Clicking on this node will open the specified\n               view instead of the tiddler represented by this node.\" />\n  </table>\n</fieldset>\n\n<$macrocall $name=\"sharedSettings\"\n    twIconField=\"local.tw-icon\"\n    faIconField=\"local.fa-icon\"\n    labelField=\"local.label\" />\n\n<$macrocall $name=\"visConfiguration\"\n    mode=\"manage-node-types\"\n    extensionField=\"local-individual-node-style\"\n    styleName=\"node's local style\"\n    inheritedList=\"[[inherited-global-default-style]]\n                   [[inherited-local-default-style]]\n                   [[inherited-group-styles]]\n                   [[global.tmap.style]]\" />\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/editNode": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/editNode",
            "subtitle": "{{$:/core/images/edit-button}} Editing style of node \"<<tiddler>>\"",
            "classes": "tmap-remove-top-space",
            "text": "\\rules except wikilink\n\n\\define maybeShowTidColorWarning()\n  <$list filter=\"[<tidColor>regexp[.+]]\">\n  <div class=\"tmap-flash-message tmap-warning\">\n    You have set the tiddler's color\n    field to \"<<tidColor>>\". This value will be completely ignored\n    when you change node's color properties in the vis editor below.\n  </div>\n  </$list>\n\\end\n\n\\define iconSettings(twIconField, faIconField)\n  <fieldset>\n    <legend>Icon Settings</legend>\n    <table class=\"tmap-config-table\">\n      <<tmap-row type:\"input-text\"\n          title:\"TW-icon\"\n          field:\"$twIconField$\"\n          descr:\"A tiddlywiki image reference.\n                 For example '$:/core/icon' for Movotun Jack.\">>\n      <<tmap-row type:\"input-text\"\n          title:\"FA-icon\"\n          field:\"$faIconField$\"\n          descr:\"A Font Awesome icon code.\n                 For example 'f206' for the bicycle symbol.\">>\n    </table>\n  </fieldset>\n\\end\n\n\\define sharedSettings(twIconField, faIconField, labelField)\n  <fieldset>\n    <legend>General Settings</legend>\n    <table class=\"tmap-config-table\">\n      <<tmap-row type:\"input-text\"\n          title:\"Label\"\n          field:\"$labelField$\"\n          descr:\"Use this value as node label.\">>\n    </table>\n  </fieldset>\n  <!-- display icon fieldset -->\n  <<iconSettings \"$twIconField$\" \"$faIconField$\">>  \n\\end\n\n<$macrocall\n  $name=\"tabs\"\n  default=<<concat \"$(template)$/default\">>\n  tabsList=\"[all[shadows]prefix<template>] -[<template>]\"\n/>"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenTiddlerEditor/draft": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenTiddlerEditor/draft",
            "caption": "Draft",
            "text": "\\rules except wikilink\n\n<div class=\"tmap-modal-editor\">\n  <$importvariables filter=\"[all[tiddlers+shadows]prefix[$:/core/macros/]]\">\n    <$set name=\"currentTiddler\" value=<<draftTRef>> >\n      <$transclude tiddler=\"$:/core/ui/EditTemplate\" field=\"text\" mode=\"block\" />\n    </$set>\n  </$importvariables>\n</div>"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenTiddlerEditor/original": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenTiddlerEditor/original",
            "caption": "Current Version",
            "text": "\\rules except wikilink\n\n<div class=\"tmap-modal-editor\">\n  <$importvariables filter=\"[all[tiddlers+shadows]prefix[$:/core/macros/]]\">\n    <$set name=\"currentTiddler\" value=<<originalTRef>> >\n      <$transclude tiddler=\"$:/core/ui/ViewTemplate\" field=\"text\" mode=\"block\" />\n    </$set>\n  </$importvariables>\n</div>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenTiddlerEditor": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenTiddlerEditor",
            "subtitle": "{{$:/core/images/edit-button}} <<originalTRef>>",
            "classes": "tmap-modal-fullscreen-editor tmap-remove-top-space",
            "text": "\\rules except wikilink\n\n\\define defaultTab() $:/plugins/felixhayashi/tiddlymap/dialog/fullscreenTiddlerEditor/original\n\n<$macrocall $name=\"tabs\"\n    default=<<defaultTab>>\n    tabsList=\"[all[shadows]prefix[$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenTiddlerEditor/]]\" />"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/fieldChanged": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/fieldChanged",
            "subtitle": "{{$:/core/images/info-button}} The field \"<<name>>\" changed",
            "text": "\\rules except wikilink\n\nYou changed the field \"<<name>>\" from \"<<oldValue>>\" to \"<<newValue>>\".\n\nIt is recommended to let TiddlyMap copy all values from the former field \"<<oldValue>>\" to the new field \"<<newValue>>\" so the data stored in \"<<oldValue>>\" is not lost. This operation has to be done now or never.\n\nDo you want to move each tiddler's existing \"<<oldValue>>\" value to \"<<newValue>>\"? Please note that any value currently stored in \"<<newValue>>\" would consequently be overridden and the old field \"<<oldValue>>\" would be eventually removed!"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenNotSupported": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/fullscreenNotSupported",
            "subtitle": "{{$:/core/images/info-button}} Your machine does not support fullscreen",
            "buttons": "ok_suppress",
            "text": "\\rules except wikilink\n\nPlease have a look [[here|http://caniuse.com/#feat=fullscreen]] to see a list of supported devices/browsers.\n\nSorry for this :("
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/renameView": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/renameView",
            "subtitle": "{{$:/core/images/tag-button}} Please specify a view name",
            "text": "\\rules except wikilink\n\n''Name:''\n<$edit-text focus=\"true\" tiddler=<<output>> field=\"text\" type=\"text\" tag=\"input\" default=\"\"\n            class=\"tmap-trigger-field tmap-triggers-ok-button-on-enter\" />\n\nNote that ''<<count>>'' tiddlers are referencing this view.\n\n<$reveal type=\"nomatch\" text=\"0\" default=<<count>>>\n\nRenaming the view will cause the reference to be invalid.\nIt is recommended to first remove the tiddlymap widgets in\nthe tiddlers listed below or change their view attributes\naccordingly.\n\n''References''\n\n<ul>\n<$list filter=<<refFilter>> variable=\"item\">\n  <li><$text text=<<item>> /></li>\n</$list>\n</ul>\n\n</$reveal>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/saveCanvas": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/saveCanvas",
            "subtitle": "{{$:/core/images/options-button}} Save a snapshot image of view \"<<view>>\"",
            "text": "\\rules except wikilink\n\n\\define preview()\n<div class=\"tmap-save-canvas-preview\">\n  <$transclude tiddler=<<snapshot>> /><br />\n</div>\n\\end\n\n<table class=\"tmap-config-table\">\n  <$macrocall $name=\"tmap-row\"\n    type=\"input-text\"\n    title=\"Name\"\n    field=\"name\"\n    descr=<<preview>> />\n  <<tmap-row type:\"input-text\"\n      title:\"Width\"\n      field:\"width\"\n      descr:\"Scales the image to match this new width (unit: px)\">>\n  <<tmap-row type:\"input-text\"\n      title:\"height\"\n      field:\"height\"\n      descr:\"Scales the image to match this new height (unit: px)\">>\n  <<tmap-row type:\"input-radio\"\n      title:\"Action\"\n      field:\"action\"\n      selectFilter:\"[[download|Download]]\n                    [[wiki|Save in wiki]]\n                    [[placeholder|Use as placeholder for this view]]\"\n      descr:\"Save the image by downloading it to your computer or\n              save it as a tiddler in your wiki.<br /><br />\n              A third option is to make TiddlyMap use this image as\n              placeholder for the current view. Placeholders are useful\n              when the wiki is exported as static html\n              or when editing a tiddler while having the preview\n              shown. In this case the title input is ignored.\">>\n</table>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog",
            "text": "\\rules except wikilink\n\n<div class=<<classes>>>\n<$importvariables\n    filter=\"[[$:/plugins/felixhayashi/tiddlymap/misc/macros]]\n            [[$:/core/macros/tabs]]\">\n<$transclude tiddler=<<template>> mode=\"block\" />\n</$importvariables>\n</div>"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/welcome": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/welcome",
            "subtitle": "{{$:/core/images/info-button }} Welcome",
            "buttons": "ok",
            "text": "\\rules except wikilink\n\nIt seems that you freshly installed TiddlyMap.\n\n* In case you need any help, please consult the [[online docs|http://tiddlymap.org#Documentation]] first.\n* You are welcome to create an [[issue|https://github.com/felixhayashi/TW5-TiddlyMap/issues]] at GitHub for any bug you discover.\n* Make sure to revisit the [[demo site|http://tiddlymap.org]] to see whether your version is up-to-date.\n* If you like TiddlyMap, please give it a star at [[GitHub|https://github.com/felixhayashi/TW5-TiddlyMap]] or tell your friends about it :)\n* ''Please note:'' TiddlyMap is distributed under the [[BSD 2-Clause License|http://opensource.org/licenses/BSD-2-Clause]], which belongs to the same license family, as the license used by TiddlyWiki. By using this plugin you agree to the product's [[License Terms|https://github.com/felixhayashi/TW5-TiddlyMap/blob/master/LICENSE]].\n\nEnjoy!\n\n---\n\nTiddlyMap will configure your wiki for optimal use. Everything can be changed back later by you, via the TiddlyWiki configurations panel, so no worries. If you checked some of the options below, please save &amp; restart after closing this dialog.\n\n<table class=\"tmap-config-table\">\n  <<tmap-row type:\"input-checkbox\"\n      title:\"Optimize storyview\"\n      field:\"config.storyview\"\n      descr:\"Sets the storyview to 'top' for optimal scrolling.\">>\n  <<tmap-row type:\"input-checkbox\"\n      title:\"Optimize sidebar\"\n      field:\"config.sidebar\"\n      descr:\"Sets sidebar layout to 'fixed-fluid' for larger editor.\">>\n  <<tmap-row type:\"input-checkbox\"\n      title:\"Optimize navigation\"\n      field:\"config.navigation\"\n      descr:\"Sets navigation style to open tiddlers at top for better map navigation.\">>\n  <<tmap-row type:\"input-checkbox\"\n      title:\"Create demo welcome map\"\n      field:\"config.demo\"\n      descr:\"Creates a little hello world welcome map for you.\">>\n</table>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/widgetCodeGenerator": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/widgetCodeGenerator",
            "subtitle": "{{$:/core/images/permalink-button}} Widget Code Generator",
            "buttons": "close",
            "text": "\\rules except wikilink\n\n<div class=\"tmap-flash-message tmap-info\">\n  Use the code below to embed a view in a tiddler.\n</div>\n\n<pre style=\"white-space: normal;\">\n&lt;$tmap\n\n<$list filter=\"[<output>has[var.view]]\">\n  view=\"<$view field='var.view' />\"</$list>\n<$list filter=\"[<output>field:var.click-to-use[true]]\">\n  click-to-use=\"true\"</$list>\n<$list filter=\"[<output>has[var.editor]]\">\n  editor=\"<$view field='var.editor' />\"</$list>\n<$list filter=\"[<output>has[var.width]]\">\n  width=\"<$view field='var.width' />\"</$list>\n<$list filter=\"[<output>has[var.height]]\">\n  height=\"<$view field='var.height' />\"</$list>\n<$list filter=\"[<output>has[var.class]]\">\n  class=\"<$view field='var.class' />\"</$list>\n<$list filter=\"[<output>field:var.show-buttons[false]]\">\n  show-buttons=\"false\"</$list>\n<$list filter=\"[<output>has[var.design]]\">\n  design=\"<$view field='var.design' />\"</$list>&gt;&lt;/$tmap&gt;\n</pre>\n\n<fieldset>\n  <legend>Parameters</legend> \n  <table class=\"tmap-config-table\">\n      <$macrocall type=\"input-select\"\n          $name=\"tmap-row\"\n          title=\"View\"\n          field=\"var.view\"\n          nochoice=\" \"\n          selectFilter=<<tmap \"option\" \"selector.allViewsByLabel\">>\n          descr=\"The view to bind the wiedget to\" />\n      <<tmap-row type:\"input-select\"\n          title:\"Editor bar\"\n          field:\"var.editor\"\n          selectFilter:\"[[|Hidden]]\n                        [[vis|Simple]]\n                        [[advanced|Advanced]]\"\n          descr:\"Whether the widget should act as an editor or not.\">>\n      <<tmap-row type:\"input-select\"\n          title:\"Design\"\n          field:\"var.design\"\n          selectFilter:\"[[|Normal]]\n                        [[plain|Plain]]\"\n          descr:\"Usually a header is displayed and borders. Plain\n                 design will only show the mere graph.\">>\n      <<tmap-row type:\"input-text\"\n          title:\"Height\"\n          field:\"var.height\"\n          descr:\"Graph's height in css units. Defaults to '300px'.\">>\n      <<tmap-row type:\"input-text\"\n          title:\"Width\"\n          field:\"var.width\"\n          descr:\"Graph's width in css units. Defaults to '100%'.\">>\n      <<tmap-row type:\"input-text\"\n          title:\"Class\"\n          field:\"var.class\"\n          descr:\"A custom class to apply your own css.\">>\n      <<tmap-row type:\"input-checkbox\"\n          title:\"Click to use\"\n          field:\"var.click-to-use\"\n          default:\"false\"\n          descr:\"A click is needed to enable the graph.\">>\n      <<tmap-row type:\"input-checkbox\"\n          title:\"Show buttons\"\n          field:\"var.show-buttons\"\n          default:\"true\"\n          descr:\"Show or hide the graph's navigation buttons.\">>\n  </table>\n</fieldset>"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialogFooter/close": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialogFooter/close",
            "text": "\\rules except wikilink\n\n<$button class=\"tmap-dialog-button tmap-close-button\" tooltip=\"Close this dialog\">Close\n\n  <!-- trigger dialog callback -->\n  <$action-setfield $tiddler=<<result>> text=\"1\" />\n                       \n</$button>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialogFooter/ok": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialogFooter/ok",
            "text": "\\rules except wikilink\n\n<$button class=\"tmap-dialog-button tmap-ok-button\" tooltip=\"Confirm dialog\">OK\n\n  <!-- trigger dialog callback -->\n  <$action-setfield $tiddler=<<result>> text=\"1\" />\n                       \n</$button>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialogFooter/ok_cancel": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialogFooter/ok_cancel",
            "text": "\\rules except wikilink\n\n<$transclude tiddler=\"$:/plugins/felixhayashi/tiddlymap/dialogFooter/ok\" mode=\"inline\" />\n<$button class=\"tmap-dialog-button tmap-cancel-button\" tooltip=\"Close dialog without saving\">Cancel\n  <!-- trigger dialog callback -->\n  <$action-setfield $tiddler=<<result>> text=\"\" />\n</$button>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialogFooter/ok_suppress": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialogFooter/ok_suppress",
            "text": "\\rules except wikilink\n\n<$set name=\"currentTiddler\" value=<<title>> >\n\n<$checkbox field=\"suppress\" checked=\"1\" unchecked=\"0\" default=\"0\"> Do not show this dialog again</$checkbox>\n<$button class=\"tmap-dialog-button tmap-ok-button\" tooltip=\"Confirm this dialog\">OK\n\n  <!-- trigger dialog callback -->\n  <$action-setfield $tiddler=<<result>> text=\"1\" />\n  \n  <!-- suppress dialog in the future -->\n  <$action-sendmessage $message=\"tmap:tm-suppress-dialog\"\n                       dialog=<<templateId>>\n                       suppress={{!!suppress}} />\n                       \n</$button>\n\n</$set>"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialogFooter": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialogFooter",
            "text": "\\rules except wikilink\n\n\\define footer() $:/plugins/felixhayashi/tiddlymap/dialogFooter/$(buttons)$\n\n<$transclude tiddler=<<footer>> />\n\n<!-- we need this button to be able to close a tiddler from outside programmatically -->\n<$button class=\"tmap-hidden-close-button\" message=\"tm-close-tiddler\" />"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialogFooter/element_type_manager": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialogFooter/element_type_manager",
            "text": "\\rules except wikilink\n\n<$button\n    class=\"tmap-dialog-button tmap-save-button\"\n    tooltip=\"Save the current changes\">Save\n  <$action-sendmessage\n      $message=\"tmap:tm-save-type-form\"\n      mode=<<mode>>\n      output=<<output>> />\n</$button>\n<$button\n    class=\"tmap-dialog-button tmap-cancel-button\"\n    tooltip=\"Cancel the most resent changes and exit\">Quit\n  <$action-setfield $tiddler=<<result>> text=\"1\" />\n</$button>"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/deleteType": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/deleteType",
            "caption": "Removal",
            "text": "\\rules except wikilink\n\n\\define manage-edge-types()\n  <$macrocall $name=\"tmap-row\"\n      type=\"input-checkbox\"\n      title=\"Delete type\"\n      field=\"temp.deleteType\"\n      default={{!id}}\n      readonly={{!!temp.idImmutable}}\n      descr=\"If you want to delete this type, set this to true\n             and click the save button afterwards. Predefined system\n             types cannot be deleted.\" note=\"Consequently, all edges\n             of this type will be deleted.\" />\n\\end\n\n\\define manage-node-types()\n  <$macrocall $name=\"tmap-row\"\n      type=\"input-checkbox\"\n      title=\"Delete type\"\n      field=\"temp.deleteType\"\n      default={{!id}}\n      readonly={{!!temp.idImmutable}}\n      descr=\"If you want to delete this type, set this to true and\n             click the save button afterwards. Predefined system\n             types cannot be deleted.\" />\n\\end\n\n<table class=\"tmap-config-table\"><$macrocall $name=<<mode>> /></table>"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/description": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/description",
            "caption": "Description",
            "text": "\\rules except wikilink\n\n\\define manage-edge-types()\n  <<tmap-row type:\"input-textarea\"\n      title:\"Description\"\n      field:\"description\"\n      descr:\"An optional description for this type. The\n             description will be displayed as tooltip when\n             moving the mouse over an edge of this type.\">>\n\\end\n\n\\define manage-node-types()\n  <<tmap-row type:\"input-textarea\"\n      title:\"Description\"\n      field:\"description\" \n      descr:\"An optional description for this type.\">>\n\\end\n\n<table class=\"tmap-config-table\">\n  <$macrocall $name=<<mode>> />\n</table>\n\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/generalSettings": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/generalSettings",
            "caption": "General",
            "text": "\\rules except wikilink\n\n\\define manage-edge-types()\n  <<tmap-row type:\"input-text\"\n      title:\"Label\"\n      field:\"label\"\n      descr:\"An optional alias used as edge-label.\">>\n  <<tmap-row type:\"input-checkbox\"\n      title:\"Show label\"\n      field:\"show-label\"\n      default:\"true\"\n      descr:\"If unchecked, no edge label will be displayed.\">>\n\\end\n\\define manage-node-types()\n  <$list filter=\"[<currentTiddler>!regexp:id[tmap:]]\">\n  <<tmap-row type:\"input-textarea\"\n      title:\"Scope\"\n      field:\"scope\"\n      descr:\"A filter expression that defines, which nodes inherit\n             this node-type and its style.\">>\n  </$list>\n  <$macrocall type=\"input-select\"\n      $name=\"tmap-row\"\n      title=\"Priority\"\n      field=\"priority\"\n      selectFilter=<<tmap \"scale\" \"100\">>\n      descr=\"When a type has a a higher priority than another type,\n             its style will override the other style\" />\n\\end\n\n<table class=\"tmap-config-table\">\n  <$macrocall\n    $name=\"tmap-row\"\n    title=\"Identifier\"\n    field=\"temp.newId\"\n    type=\"input-text\"\n    default={{!!id}}\n    readonly={{!!temp.idImmutable}}\n    descr=\"A unique identifier\"\n  />\n  <$macrocall $name=<<mode>> />\n</table>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/overview": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/overview",
            "caption": "Overview",
            "text": "\\rules except wikilink\n\n\\define date(f) <$view field=$f$ format=\"date\" template=\"DDth mmm hh:mm:ss\"/>\n\n! <$link to={{!!typeTRef}}><$view field=\"id\" /></$link>\n\n<table class=\"tmap-key-value-table\">\n  <tr>\n    <th align=\"left\">Created on</th>\n    <td>\n      <<date \"created\">>\n    </td>\n  </tr>\n  <tr>\n    <th align=\"left\">Modified on</th>\n    <td><<date \"modified\">></td>\n  </tr>\n  <tr>\n    <th align=\"left\">Usage count</th>\n    <td>\n      <span class=\"tmap-edge-type-specific\">\n        <$view field=\"temp.usageCount\" />\n      </span>\n      <span class=\"tmap-node-type-specific\">\n        <$count filter={{!!scope}}>0</$count>\n      </span>\n    </td>\n  </tr>\n</table>\n\n<$view field=\"description\">//No description available//</$view>"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/styling": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/styling",
            "caption": "Styling",
            "text": "\\rules except wikilink\n\n\\define url()\n  <$set\n      filter=\"[<mode>prefix[manage-edge-types]]\"\n      name=\"module\"\n      value=\"edges\"\n      emptyValue=\"nodes\">\n    [[visjs.org|http://visjs.org/docs/network/$(module)$]]\n  </$set>\n\\end\n\n<fieldset class=\"tmap-node-type-specific\">\n  <legend>Icon Settings</legend>\n  <table class=\"tmap-config-table\">\n    <<tmap-row type:\"input-text\"\n        title:\"TW-icon\"\n        field:\"tw-icon\"\n        descr:\"A tiddlywiki image reference.\n               For example '$:/core/icon' for Movotun Jack.\">>\n    <<tmap-row type:\"input-text\"\n        title:\"FA-icon\"\n        field:\"fa-icon\"\n        descr:\"A Font Awesome icon code.\n               For example 'f206' for the bicycle symbol.\">>\n  </table>\n</fieldset>\n\n<fieldset><legend>Visjs styles</legend>\n  <div class=\"tmap-flash-message tmap-info\">\n     All visjs options below are documented at <<url>>.\n  </div>\n  <div class=\"tmap-flash-message tmap-info\">\n     Only config items that you actually changed have an effect on\n     the graph. Other options are visible, yet, inactive.\n  </div>\n  <$tmap-config\n      mode=<<mode>>\n      inherited=\"inherited-style\"\n      extension=\"style\" />\n</fieldset>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager": {
            "title": "$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager",
            "subtitle": "{{$:/core/images/tag-button}} <<topic>>",
            "buttons": "element_type_manager",
            "classes": "tmap-remove-top-space",
            "text": "\\rules except wikilink\n\n\\define defaultTab()\n$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/overview\n\\end\n\n\\define settingsTab()\n$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/generalSettings\n\\end\n\n\\define tabsFilter()\n[all[shadows]prefix[$:/plugins/felixhayashi/tiddlymap/dialog/MapElementTypeManager/]]\n\\end\n\n\\define searchFilter()\n$(searchSelector)$\n+[sort[title]nsort[priority]]\n+[removeprefix<typeRootPath>removeprefix[/]]\n+[search:title{$:/temp/tmap/MapElementTypeSearch}]\n\\end\n\n\\define managerClass() tmap-$(mode)$\n\n\\define typePath() $(typeRootPath)$/$(id)$\n\n<div id=\"tmap-element-type-manager\" class=<<managerClass>>>\n  <div>\n    <div class=\"tmap-searchbar\">\n      <$edit-text\n          focus=\"true\"\n          tiddler=\"$:/temp/tmap/MapElementTypeSearch\"\n          type=\"text\"\n          tag=\"input\"\n          default=\"\" />\n      <$list filter=\"[{$:/temp/tmap/MapElementTypeSearch}regexp[.+]]\n                     +[addprefix[/]]\n                     +[addprefix<typeRootPath>]\n                     +[!is[tiddler]!is[shadow]]\">\n      <$button tooltip=\"Create a new type of this name\">\n      {{$:/core/images/new-button}}\n        <$action-sendmessage\n            $message=\"tmap:tm-create-type\"\n            mode=<<mode>>\n            id={{$:/temp/tmap/MapElementTypeSearch}}\n            output=<<output>> />\n        <$action-setfield $tiddler=\"$:/temp/tmap/MapElementTypeSearch\" text=\"\" />\n      </$button>\n      </$list>\n\n    </div>\n    <ul>\n      <$list\n          filter=<<searchFilter>>\n          emptyMessage=<<noTypeFound>>\n          variable=\"id\">\n      <li>\n        <span class=\"tmap-ranking tmap-node-type-specific\">\n          # <$view tiddler=<<typePath>> field=\"priority\">1</$view>\n        </span>\n        <$button class=\"tc-btn-invisible tmap-link\"><<id>>\n          <$action-setfield\n              $tiddler=<<qualify \"$:/state/tabs/MapElementTypeManager\">>\n              text=<<defaultTab>> />\n          <$action-sendmessage\n              $message=\"tmap:tm-load-type-form\"\n              id=<<id>>\n              mode=<<mode>>\n              output=<<output>> />\n        </$button>\n      </li>\n      </$list>\n    </ul>\n  </div>\n  <div>\n    <$reveal type=\"nomatch\" text=\"\" default={{!!id}} >\n      <$macrocall\n          $name=\"tabs\"\n          default=<<defaultTab>>\n          state=\"$:/state/tabs/MapElementTypeManager\"\n          tabsList=<<tabsFilter>> />\n    </$reveal>\n    <$reveal type=\"match\" text=\"\" default={{!!id}} >\n      <div class=\"tmap-flash-message tmap-info\">\n        Please select a type from the list or create a new one by\n        entering the type name in the search field on the left.\n      </div>\n      <div class=\"tmap-flash-message tmap-info tmap-node-type-specific\">\n        The number next to the node-type label represents it's priority.\n      </div>\n    </$reveal>\n  </div>\n</div>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/editor/contextMenu/node": {
            "title": "$:/plugins/felixhayashi/tiddlymap/editor/contextMenu/node",
            "text": "\\define single()\n  <$list filter=\"\n      [[tmap:tm-toggle-central-topic, $:/core/images/star-filled, Toggle central topic]]\n      [[tmap:tm-delete-element, $:/core/images/delete-button, Delete node]]\">\n    <$button class=\"tc-btn-invisible\">\n      <$action-sendmessage $message=<<tmap \"splitAndSelect\" \", \" \"0\">> />\n      <$transclude tiddler=<<tmap \"splitAndSelect\" \", \" \"1\">> />\n      <<tmap \"splitAndSelect\" \", \" \"2\">>\n    </$button>\n  </$list>\n\\end\n\n\\define multi()\n  <$list filter=\"\n      [[tmap:tm-delete-element, $:/core/images/delete-button, Delete selected nodes]]\">\n    <$button class=\"tc-btn-invisible\">\n      <$action-sendmessage $message=<<tmap \"splitAndSelect\" \", \" \"0\">> />\n      <$transclude tiddler=<<tmap \"splitAndSelect\" \", \" \"1\">> />\n      <<tmap \"splitAndSelect\" \", \" \"2\">>\n    </$button>\n  </$list>\n\\end\n\n<div class=\"tc-drop-down\">\n  <$macrocall $name=<<mode>> />\n</div>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/misc/advancedEditorBar": {
            "title": "$:/plugins/felixhayashi/tiddlymap/misc/advancedEditorBar",
            "text": "\\rules except wikilink\n\\define showEdgeField() show-$(curEdgeId)$\n\n<!-- === View Switcher ========================================== -->\n\n<div class=\"tmap-menu-bar\">\n  View:\n  <$reveal type=\"match\" text=\"false\" default=<<isViewBound>> >\n    <$select\n        tiddler=<<viewHolder>>\n        field=\"text\"\n        default=<<viewLabel>> >\n      <$list filter=<<tmap \"option\" \"selector.allViewsByLabel\">> >\n        <option value={{!!title}}>\n          <$view tiddler={{!!title}} field=\"title\" />\n        </option>\n      </$list>\n    </$select>\n  </$reveal>\n  <$reveal type=\"match\" text=\"true\" default=<<isViewBound>> >\n    <b><<viewLabel>></b>\n  </$reveal>\n\n<!-- === Menu =================================================== -->\n\n  <$button\n      popup=<<qualify \"$:/temp/menu\">>\n      class=\"tmap-unicode-button\"\n      tooltip=\"Open the Menu\">{{$:/core/images/menu-button}}\n  </$button>\n\n  <$reveal type=\"popup\" position=\"below\" state=<<qualify \"$:/temp/menu\">> >\n    <div class=\"tc-drop-down\">\n      <a href=\"http://tiddlymap.org#Documentation\" target=\"_blank\">\n        {{$:/core/images/info-button}} Open online help\n      </a>\n      <$button class=\"tc-btn-invisible\" message=\"tmap:tm-create-view\">\n        {{$:/core/images/new-button}} Create new view\n      </$button>\n      <$button class=\"tc-btn-invisible\" message=\"tmap:tm-generate-widget\">\n        {{$:/core/images/permalink-button}} Grab widget code\n      </$button>\n      <div class=\"tmap-list-separator\">Global configurations:</div>\n      <$button class=\"tc-btn-invisible\" message=\"tmap:tm-configure-system\">\n        {{$:/core/images/options-button}} Configure TiddlyMap\n      </$button>\n      <$button class=\"tc-btn-invisible\" message=\"tmap:tm-manage-edge-types\">\n        <span class=\"tmap-unicode-icon\">◭</span> Manage edge-types\n      </$button>\n      <$button class=\"tc-btn-invisible\" message=\"tmap:tm-manage-node-types\">\n        <span class=\"tmap-unicode-icon\">▢</span> Manage node-types\n      </$button>\n      <div class=\"tmap-view-actions\">\n        <div class=\"tmap-list-separator\">Actions for this view:</div>\n        <$button class=\"tc-btn-invisible\" message=\"tmap:tm-edit-view\">\n          {{$:/core/images/options-button}} Configure view\n        </$button>\n        <$button class=\"tc-btn-invisible\" message=\"tmap:tm-rename-view\">\n          {{$:/core/images/tag-button}} Rename view\n        </$button>\n        <$button class=\"tc-btn-invisible\" message=\"tmap:tm-delete-view\">\n          {{$:/core/images/delete-button}} Delete view\n        </$button>\n      </div>\n    </div>\n  </$reveal>\n\n<!-- === Neighbourhood menu ===================================== -->\n\n  <$reveal\n      type=\"match\"\n      text=\"true\"\n      default=<<tmap \"option\"\n                     \"config.sys.editorMenuBar.showNeighScopeButton\">>>\n    <$button\n        class=<<neighScopeBtnClass>>\n        tooltip=\"Change the neighbourhood scope\"\n        popup=<<qualify \"$:/temp/neighScope\">>>\n      {{$:/core/images/preview-open}}\n    </$button>\n  </$reveal>\n\n  <$reveal type=\"popup\" position=\"below\" state=<<qualify \"$:/temp/neighScope\">> >\n    <div class=\"tc-drop-down\">\n      <div class=\"tmap-list-separator\">Neighbourhood scope</div>\n      <$button class=\"tc-btn-invisible\">None\n        <$action-setfield\n            $tiddler=<<viewRoot>>\n            config.neighbourhood_scope=\"\" />\n      </$button>\n      <$list filter=\"[[1|1 step distance]]\n                     [[2|2 step distance]]\n                     [[3|3 step distance]]\n                     [[4|4 step distance]]\n                     [[5|5 step distance]]\">\n        <$button class=\"tc-btn-invisible\">\n          <<tmap \"splitAndSelect\" \"|\" \"1\">>\n          <$action-setfield\n              $tiddler=<<viewRoot>>\n              config.neighbourhood_scope=<<tmap \"splitAndSelect\" \"|\" \"0\">> />\n        </$button>\n      </$list>\n      <$button class=\"tc-btn-invisible\">No limit\n        <$action-setfield\n            $tiddler=<<viewRoot>>\n            config.neighbourhood_scope=\"100\" />\n      </$button>\n\n      <div class=\"tmap-list-separator\">Neighbourhood traversal</div>\n\n      <$radio field=\"config.neighbourhood_directions\" value=\"in\"> Incoming</$radio><br />\n      <$radio field=\"config.neighbourhood_directions\" value=\"out\"> Outgoing</$radio><br />\n      <$radio field=\"config.neighbourhood_directions\" value=\"\"> Both</$radio>\n\n      <div class=\"tmap-list-separator\">Other</div>\n\n      <$checkbox field=\"config.show_inter_neighbour_edges\"\n          checked=\"true\" unchecked=\"false\"> Inter-neighbour edges</$checkbox>\n\n    </div>\n  </$reveal>\n\n<!-- === Tracing ===================================== -->\n\n  <$reveal\n      type=\"match\"\n      text=\"true\"\n      default=<<isShowNeighbourhood>>>\n    <$button\n        class=<<tracingBtnClass>>\n        tooltip=\"Trace your clicks on neighbouring nodes.\"\n        popup=<<qualify \"$:/temp/tmap-tracing\">>>\n      {{$:/core/images/timestamp-on}}\n    </$button>\n  </$reveal>\n\n  <$reveal type=\"popup\" position=\"below\" state=<<qualify \"$:/temp/tmap-tracing\">> >\n    <div class=\"tc-drop-down\">\n      <$button message=\"tmap:tm-neighbourhood-reset-trace\">\n        {{$:/core/images/erase}} Restart\n      </$button>\n      <span\n        title=\"\n          Enable this option to trace your clicks on neighbouring nodes.\n          Traced neighbours are temporarily added to the map (until the map is closed)\n          as if they where regular nodes of the map\"\n      >\n        <$checkbox\n          field=\"config.neighbourhood_trace_clicks\"\n          checked=\"true\"\n          unchecked=\"false\"\n        >\n          Trace clicked nodes\n        </$checkbox>\n      </span>\n      <br />\n      <span title=\"Will focus an zoom on the latest traced node\">\n        <$checkbox\n          field=\"config.neighbourhood_focus_newly_traced_node\"\n          checked=\"true\"\n          unchecked=\"false\"\n        >\n          Focus traced nodes\n        </$checkbox>\n      </span>\n      <br />\n      <span title=\"Per default, only neighbours of nodes matching the node filter are displayed. Enable this option to also show neighbours of traced nodes.\">\n        <$checkbox field=\"config.neighbourhood_include_traced_node_neighbours\"\n            checked=\"true\" unchecked=\"false\"> Show neighbours of all traced nodes</$checkbox>\n      </span>\n    </div>\n  </$reveal>\n\n<!-- === Export menu ============================================ -->\n\n  <$reveal\n      type=\"match\"\n      text=\"true\"\n      default=<<tmap \"option\" \"config.sys.editorMenuBar.showScreenshotButton\">>>\n    <$button class=\"tmap-unicode-button\" tooltip=\"Open the map-export menu\" popup=<<qualify \"$:/temp/mapExport\">>>\n      {{$:/core/images/download-button}}\n    </$button>\n  </$reveal>\n\n  <$reveal type=\"popup\" position=\"below\" state=<<qualify \"$:/temp/mapExport\">>>\n    <div class=\"tc-drop-down\">\n    <$button\n        class=\"tc-btn-invisible\"\n        tooltip=\"Export the graph and all its elements\n                 in form of a JSON file\">\n        {{$:/core/images/permalink-button}} Save as JSON file\n      <$action-sendmessage\n          $message=\"tmap:tm-download-graph\"\n          view=<<viewLabel>> />\n    </$button>\n    <$button\n        class=\"tc-btn-invisible\"\n        tooltip=\"Create a png image to download or save it\n                 as image or view-placeholder in your wiki\">\n        {{$:/core/images/palette}} Save as png image\n      <$action-sendmessage $message=\"tmap:tm-save-canvas\" />\n    </$button>\n    </div>\n  </$reveal>\n\n<!-- === Raster menu ============================================ -->\n\n  <$reveal\n      type=\"match\"\n      text=\"true\"\n      default=<<tmap \"option\" \"config.sys.editorMenuBar.showRasterMenuButton\">>>\n    <$button\n      tooltip=\"Change the raster of your map\"\n      class=\"tmap-unicode-button\"\n      popup=<<qualify \"$:/temp/rasterMenu\">>>\n      {{$:/core/images/line-width}}\n    </$button>\n  </$reveal>\n\n  <$reveal type=\"popup\" position=\"below\" state=<<qualify \"$:/temp/rasterMenu\">>>\n    <div class=\"tc-drop-down\">\n    <$button class=\"tc-btn-invisible\">Disable raster\n      <$action-setfield\n          $tiddler=<<viewRoot>>\n          config.raster=\"\" />\n    </$button>\n    <div class=\"tmap-list-separator\">Raster sizes</div>\n    <$list filter=\"[[50|50px]]\n                   [[75|75px]]\n                   [[100|100px]]\n                   [[150|150px]]\">\n      <$button class=\"tc-btn-invisible\">\n        <<tmap \"splitAndSelect\" \"|\" \"1\">>\n        <$action-setfield\n            $tiddler=<<viewRoot>>\n            config.raster=<<tmap \"splitAndSelect\" \"|\" \"0\">> />\n      </$button>\n    </$list>\n    </div>\n  </$reveal>\n\n</div>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/misc/focusButton": {
            "title": "$:/plugins/felixhayashi/tiddlymap/misc/focusButton",
            "text": "\\define filter() [list[$:/temp/tmap/nodes/$(viewLabel)$]search:title{$:/temp/tmap/bar/search}]\n\\define concat(str) $str$\n\n\\define state() $(widgetPopupsPath)$/focus\n\n<div class=\"tmap-focus-button\">\n  <$reveal type=\"match\" state=<<state>> text=\"\">\n    <$button\n        tooltip=\"Zoom on a specific node\"\n        class=<<tv-config-toolbar-class>>>{{$:/core/images/advanced-search-button}}\n     <$action-setfield $tiddler=\"$:/temp/tmap/bar/search\" text=\"\" />\n     <$action-setfield $tiddler=<<state>> text=\"1\" />\n    </$button>\n  </$reveal>\n  <$reveal type=\"nomatch\" state=<<state>> text=\"\">\n    <$button\n        tooltip=\"Close zoom popup\"\n        class=<<tv-config-toolbar-class>>>{{$:/core/images/advanced-search-button}}\n     <$action-setfield $tiddler=<<state>> text=\"\" />\n    </$button>\n    <div class=\"tmap-search-dropdown\">\n      <div class=\"tc-drop-down\">\n        <$edit-text\n            focus=\"true\"\n            tiddler=\"$:/temp/tmap/bar/search\"\n            field=\"text\"\n            type=\"text\"\n            tag=\"input\"\n            default=\"\" />\n        <small><$count filter=<<filter>> /> results</small>\n        <hr />\n        <div class=\"tmap-very-small-list\">\n          <$list filter=<<filter>>\n              variable=\"item\"\n              emptyMessage=\"//No results//\">\n            <$button\n                class=\"tc-btn-invisible\"\n                message=\"tmap:tm-focus-node\"\n                param=<<item>>>\n              <$view tiddler=<<item>> field=\"title\" />\n            </$button>\n          </$list>\n        </div>\n      </div>\n    </div>\n  </$reveal>\n</div>"
        },
        "$:/plugins/felixhayashi/tiddlymap/hook/editor": {
            "title": "$:/plugins/felixhayashi/tiddlymap/hook/editor",
            "caption": "Map",
            "tags": "$:/tags/SideBar",
            "text": "\\define width() calc(100% - 15px)\n\n<div class=\"tmap-mobile-editor\">\n  <div class=\"tmap-flash-message tmap-warning\">\n    The editor is not displayed in mobile mode.\n  </div>\n</div>\n<div class=\"tmap-desktop-editor\">\n  <$tiddlymap\n    class=\"tmap-sidebar-map-editor\"\n    editor=\"advanced\"\n    object-id=\"main_editor\"\n    click-to-use=\"false\">\n  </$tiddlymap>\n</div>"
        },
        "$:/plugins/felixhayashi/tiddlymap/hook/liveTab": {
            "title": "$:/plugins/felixhayashi/tiddlymap/hook/liveTab",
            "caption": "Live",
            "text": "\\define width() calc(100% - 15px)\n\n<div class=\"tmap-mobile-editor\">\n  <div class=\"tmap-flash-message tmap-warning\">\n    The live tab is not displayed in mobile mode.\n  </div>\n</div>\n<div class=\"tmap-desktop-editor\">\n  <$set name=\"view\"\n      filter=\"[{$:/temp/tmap/currentTiddler}get[tmap.open-view]]\"\n      emptyValue=<<tmap \"option\" \"config.sys.liveTab.fallbackView\">>>\n  <div>\n    <$tiddlymap\n        view=<<view>>\n        click-to-use=\"false\"\n        refresh-triggers=\"$:/temp/tmap/currentTiddler\"\n        object-id=\"live_tab\">\n    </$tiddlymap>\n  </div>\n  </$set> \n</div>"
        },
        "$:/plugins/felixhayashi/tiddlymap/misc/quickConnectButton": {
            "title": "$:/plugins/felixhayashi/tiddlymap/misc/quickConnectButton",
            "tags": "$:/tags/ViewToolbar",
            "description": "{{$:/language/Buttons/TiddlyMap/Hint}}",
            "caption": "{{$:/plugins/felixhayashi/tiddlymap/icon}} {{$:/language/Buttons/TiddlyMap/Caption}}",
            "text": "\\define buttonClass() $(tv-config-toolbar-class)$ $(additional-classes)$\n\n\\define nonExistentItem()\n<<item>> <span style=\"color: #9E9E9E\">(will be created)</span>\n\\end\n\n\\define noConnectionsMsg()\n<tr><td colspan=\"4\">//No connections found!//</td></tr>\n\\end\n\n\\define normalSearchFilter()\n[!is[system]!has[draft.of]search:title{$:/temp/quickConnectSearch}sortcs[title]limit[50]]\n\\end\n\n\\define regexSearchFilter()\n[!is[system]!has[draft.of]regexp{$:/temp/quickConnectSearch}sortcs[title]limit[50]]\n\\end\n\n\\define showButton(state)\n<$button set=\"$:/temp/tmap/state/popup/quickConnect\"\n         setTo=\"$state$\" tooltip={{$:/language/Buttons/TiddlyMap/Hint}} \n         aria-label={{$:/language/Buttons/TiddlyMap/Caption}}\n         class=<<buttonClass>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">{{$:/plugins/felixhayashi/tiddlymap/icon}}</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/TiddlyMap/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n\\define searchResults()\n<td>\n  <$button tooltip=\"Create incoming edge\">\n    <<tmap \"option\" \"misc.arrows.in\">>\n    <$action-sendmessage $message=\"tmap:tm-create-edge\"\n                         from=<<item>>\n                         to=<<currentTiddler>>\n                         force=\"true\"\n                         label={{$:/temp/quickConnectSearch/type}}\n                         view={{$:/temp/quickConnectSearch/view}} />\n  </$button>\n</td>\n<td>\n  <$button tooltip=\"Create outgoing edge\">\n    <<tmap \"option\" \"misc.arrows.out\">>\n    <$action-sendmessage $message=\"tmap:tm-create-edge\"\n                         from=<<currentTiddler>>\n                         to=<<item>>\n                         force=\"true\"\n                         label={{$:/temp/quickConnectSearch/type}}\n                         view={{$:/temp/quickConnectSearch/view}} />\n  </$button>\n</td>\n<td>\n  <$list\n      filter=\"[<item>is[tiddler]]\"\n      emptyMessage=<<nonExistentItem>>>\n    <$view tiddler=<<item>> field=\"title\" />\n  </$list>\n</td>\n\\end\n\n\\define hidePopup()\n<$macrocall $name=\"showButton\" state=<<qualify>> />\n\\end\n\n\\define showPopup()\n<$set name=\"additional-classes\" value=\"tmap-active-button\">\n  <$macrocall $name=\"showButton\" state=\"\" />\n</$set>\n<$set\n    name=\"searchFilter\"\n    filter=\"[field:title[$:/state/tmap/tid-toolbar]has[re-filter]]\"\n    value=<<regexSearchFilter>>\n    emptyValue=<<normalSearchFilter>>>\n<div class=\"tmap-quick-connect tc-reveal tc-popup\">\n  <div class=\"tc-drop-down\">\n    <div class=\"title\">Create connection</div>\n    <table class=\"tmap-quick-connect-search-bar\">\n      <tr>\n        <td>Type:</td>\n        <td>\n          <$edit-text\n              tiddler=\"$:/temp/quickConnectSearch/type\"\n              field=\"text\"\n              type=\"text\"\n              tag=\"input\"\n              default=\"\" />\n          <$select tiddler=\"$:/temp/quickConnectSearch/type\" default=\"\">\n            <option></option>\n            <$list filter=<<tmap \"option\" \"selector.allEdgeTypesById\">>>\n              <option>{{!!title}}</option>\n            </$list>\n          </$select>\n        </td>\n      </tr>\n      <tr>\n        <td>Search:</td>\n        <td>\n          <$edit-text tiddler=\"$:/temp/quickConnectSearch\" type=\"text\" tag=\"input\" default=\"\"></$edit-text>\n          <$checkbox\n              tiddler=\"$:/state/tmap/tid-toolbar\"\n              field=\"re-filter\"\n              checked=\"1\"\n              unchecked=\"\"\n              default=\"\"> regexp\n          </$checkbox>\n<!--\n          <small>(<$count filter=<<searchFilter>> /> results)</small>\n-->\n        </td>\n      </tr>\n      </table>\n      <table class=\"tmap-create-connection-table\">\n      <tr>\n        <td colspan=\"2\">\n          <table class=\"tmap-very-small-list\">\n            <$list\n                filter=<<searchFilter>>\n                variable=\"item\">\n            <tr><<searchResults>></tr>\n            </$list>\n            <tr>\n            <$list filter=\"[{$:/temp/quickConnectSearch}regexp[.+]] -[is[tiddler]]\" variable=\"item\">\n              <<searchResults>>\n            </$list>\n            </tr>\n          </table>\n        </td>\n      </tr>\n    </table>\n    <div class=\"title\">Existing Connections</div>\n    <div class=\"tmap-quick-connect-existing-bar\">\n      <$select\n          tiddler=\"$:/state/tmap/tid-toolbar\"\n          field=\"direction\"\n          default=\"both\">\n          <option value=\"both\">both</option>\n          <option value=\"in\">incoming</option>\n          <option value=\"out\">outgoing</option>\n      </$select>\n      <$checkbox\n          tiddler=\"$:/state/tmap/tid-toolbar\"\n          field=\"filter.links\"\n          checked=\"-[[tw-body:link]]\"\n          unchecked=\"\"\n          default=\"\"> hide links\n      </$checkbox>\n    </div>\n    <table class=\"tmap-connection-table\">\n<!--\n    <tr>\n      <th></th>\n      <th>Tiddler</th>\n      <th>Type</th>\n      <th></th>\n    </tr>\n-->\n    \n    <$tmap-connections\n        filter=<<tmap mergeFields \"$:/state/tmap/tid-toolbar\" \"filter.\">>\n        direction={{$:/state/tmap/tid-toolbar!!direction}}\n        emptyMessage=<<noConnectionsMsg>>>\n      <tr>\n        <td title=<<direction>>><<directionSymbol>></td>\n        <td><$link to=<<neighbour>>><$view field=\"title\" /></$link></td>\n        <td><<edge.type>></td>\n        <td>\n          <$button\n              tooltip=\"Delete this connection\"\n              class=\"tc-btn-invisible\">{{$:/core/images/close-button}}\n            <$action-sendmessage $message=\"tmap:tm-remove-edge\"\n                id=<<edge.id>>\n                from=<<edge.from>>\n                to=<<edge.to>>\n                type=<<edge.type>> />\n          </$button>\n        </td>\n      </tr>\n    </$tmap-connections>\n    </table>   \n  </div>\n</div>\n</$set>\n\\end\n\n<$list filter=\"[all[current]is[tiddler]]\"><$list filter=\"[{$:/temp/tmap/state/popup/quickConnect}prefix<qualify>]\" variable=\"item\" emptyMessage=<<hidePopup>>><<showPopup>></$list></$list>"
        },
        "$:/plugins/felixhayashi/tiddlymap/media/fullscreen.png": {
            "title": "$:/plugins/felixhayashi/tiddlymap/media/fullscreen.png",
            "type": "image/png",
            "text": 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8Pl/BDX13d/enAL4zLA4WiyWlaVpi8+bNaVVVF8rKyjJ5G5yZmXknkUhYdF1/b25uTs2fOkge6uzsPL/iI4zf75fHjx93KoryjclkgtGfgSQMI0B+YovvSXbV19efdrvdKz/CvDyBbDbbTPITkjtFRBOR54ZPclJEbgL4weFw/LYcMK9/AFcdm7xTEIntAAAAAElFTkSuQmCC"
        },
        "$:/plugins/felixhayashi/tiddlymap/media/halfscreen.png": {
            "title": "$:/plugins/felixhayashi/tiddlymap/media/halfscreen.png",
            "type": "image/png",
            "text": 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        },
        "$:/plugins/felixhayashi/tiddlymap/icon": {
            "title": "$:/plugins/felixhayashi/tiddlymap/icon",
            "tags": "$:/tags/Image",
            "text": "<svg\n   xmlns:dc=\"http://purl.org/dc/elements/1.1/\"\n   xmlns:cc=\"http://creativecommons.org/ns#\"\n   xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\"\n   xmlns:svg=\"http://www.w3.org/2000/svg\"\n   xmlns=\"http://www.w3.org/2000/svg\"\n   xmlns:inkscape=\"http://www.inkscape.org/namespaces/inkscape\"\n   class=\"tc-image-tiddlymap-button tc-image-button\"\n   version=\"1.1\"\n   width=\"22pt\"\n   height=\"22pt\"\n   viewBox=\"0 0 128 128\">\n  <defs\n     id=\"defs4\">\n    <marker\n       refX=\"0\"\n       refY=\"0\"\n       orient=\"auto\"\n       id=\"Arrow1Lend\"\n       style=\"overflow:visible\">\n      <path\n         d=\"M 0,0 5,-5 -12.5,0 5,5 0,0 z\"\n         transform=\"matrix(-0.8,0,0,-0.8,-10,0)\"\n         id=\"path3850\"\n         style=\"fill-rule:evenodd;stroke:#000000;stroke-width:1pt\" />\n    </marker>\n    <marker\n       refX=\"0\"\n       refY=\"0\"\n       orient=\"auto\"\n       id=\"Arrow1Lstart\"\n       style=\"overflow:visible\">\n      <path\n         d=\"M 0,0 5,-5 -12.5,0 5,5 0,0 z\"\n         transform=\"matrix(0.8,0,0,0.8,10,0)\"\n         id=\"path3847\"\n         style=\"fill-rule:evenodd;stroke:#000000;stroke-width:1pt\" />\n    </marker>\n    <inkscape:path-effect\n       effect=\"skeletal\"\n       id=\"path-effect4329\" />\n    <inkscape:path-effect\n       effect=\"skeletal\"\n       id=\"path-effect4321\" />\n    <inkscape:path-effect\n       effect=\"skeletal\"\n       id=\"path-effect4315\" />\n    <inkscape:path-effect\n       effect=\"skeletal\"\n       id=\"path-effect4307\" />\n    <inkscape:path-effect\n       effect=\"skeletal\"\n       id=\"path-effect4299\" />\n    <inkscape:path-effect\n       effect=\"skeletal\"\n       id=\"path-effect4293\" />\n  </defs>\n  <g\n     transform=\"translate(0,-1024.5289)\"\n     id=\"layer1\">\n    <path\n       d=\"m 17.867073,4.5821643 a 3.7249374,3.7249374 0 1 1 -7.449875,0 3.7249374,3.7249374 0 1 1 7.449875,0 z\"\n       transform=\"matrix(-6.3328802,0,0,6.2775831,193.9581,1100.3667)\"\n       id=\"path4139-1-14\"\n       style=\"fill-opacity:1;fill-rule:nonzero\" />\n    <path\n       d=\"M 77.450496,1064.5069 C 58.849552,1025.9634 15.704158,1023.3858 2.8821873e-7,1034.558 L 0.02388589,1035.2674 C 24.502636,1022.2072 44.810725,1042.1507 60.163934,1074.112 z\"\n       id=\"path4337\"\n       style=\"fill-opacity:1;stroke-width:0.58181816;stroke-miterlimit:4;stroke-dasharray:none;marker-start:none;marker-end:none\" />\n    <path\n       d=\"m 12.878637,11.280739 4.75937,-2.7478243 4.759371,-2.7478236 0,5.4956479 0,5.495648 -4.759371,-2.747824 z\"\n       transform=\"matrix(4.6545455,0,0,4.6545455,-13.580429,1027.7638)\"\n       id=\"path3004\"\n       style=\"fill-opacity:1;fill-rule:nonzero\" />\n  </g>\n  <metadata\n     id=\"metadata3772\">\n    <rdf:RDF>\n      <cc:Work\n         rdf:about=\"\">\n        <dc:title></dc:title>\n        <dc:format>image/svg+xml</dc:format>\n        <dc:type\n           rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\" />\n      </cc:Work>\n    </rdf:RDF>\n  </metadata>\n</svg>\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/media/surface.png": {
            "title": "$:/plugins/felixhayashi/tiddlymap/media/surface.png",
            "type": "image/png",
            "text": 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"
        },
        "$:/config/EditTemplateFields/Visibility/tmap.id": {
            "title": "$:/config/EditTemplateFields/Visibility/tmap.id",
            "text": "hide"
        },
        "$:/language/Buttons/TiddlyMap/Caption": {
            "title": "$:/language/Buttons/TiddlyMap/Caption",
            "text": "tiddlymap"
        },
        "$:/language/Buttons/TiddlyMap/Hint": {
            "title": "$:/language/Buttons/TiddlyMap/Hint",
            "text": "Toggle TiddlyMap actions"
        },
        "$:/plugins/felixhayashi/tiddlymap/misc/macros": {
            "title": "$:/plugins/felixhayashi/tiddlymap/misc/macros",
            "text": "\\define concat(str) $str$\n\n\\define input-text(field, index, default, readonly, class, focus)\n  <$reveal type=\"match\" text=\"\" default=\"$readonly$\">\n    <$edit-text\n        tiddler=<<output>>\n        field=\"$field$\"\n        index=\"$index$\"\n        type=\"text\"\n        tag=\"input\"\n        default=\"$default$\"\n        focus=\"$focus$\"\n        class=\"$class$\" />\n  </$reveal>\n  <$reveal type=\"nomatch\" text=\"\" default=\"$readonly$\">\n    <input type=\"text\" value=\"$default$\" readonly=\"true\" disabled=\"true\" />\n  </$reveal>\n\\end\n\n\\define input-button(field, index, default, default, label:\"Proceed\")\n  <div class=\"tmap-button-wrapper\">\n  <$button>$label$\n    <$action-setfield $tiddler=<<output>> $field=\"$field$\" index=\"$index$\" $value=\"$default$\" />\n  </$button>\n  </div>\n\\end\n\n\\define input-textarea(field, index, default, default, class, focus)\n  <$edit-text\n      tiddler=<<output>>\n      field=\"$field$\"\n      index=\"$index$\"\n      autoHeight=\"no\"\n      type=\"text\"\n      tag=\"textarea\"\n      default=\"$default$\"\n      class=\"$class$\"\n      focus=\"$focus$\" />\n\\end\n\n\\define input-checkbox(field, index, readonly, default)\n  <$reveal type=\"match\" text=\"\" default=\"$readonly$\">\n    <$checkbox\n        tiddler=<<output>>\n        field=\"$field$\"\n        index=\"$index$\"\n        checked=\"true\"\n        unchecked=\"false\"\n        default=\"$default$\" />\n  </$reveal>\n  <$reveal type=\"nomatch\" text=\"\" default=\"$readonly$\">\n    <input type=\"checkbox\" value=\"$default$\" readonly=\"true\" disabled=\"true\" />\n  </$reveal>\n\\end\n\n\\define input-multi-checkbox(selectFilter, invert:\"no\", default)\n  <div class=\"tmap-no-stretch\">\n  <$list\n      filter=\"$selectFilter$\"\n      emptyMessage=\"– This list contains no items –\">\n    <$checkbox\n        tiddler=<<output>>\n        tag=<<tmap \"splitAndSelect\" \"|\" \"0\">>>\n      <$view\n          tiddler=<<tmap \"splitAndSelect\" \"|\" \"1\">>\n          field=\"title\" />\n    </$checkbox><br />\n  </$list>\n  </div>\n\\end\n\n\\define input-select(field, index, selectFilter, default, nochoice)\n  <$select\n      tiddler=<<output>>\n      field=\"$field$\"\n      index=\"$index$\"\n      default=\"$default$\">\n    <$set name=\"nochoice\" value=\"$nochoice$\">\n      <$list filter=\"[<nochoice>regexp[.+]]\">\n        <option value=\"\"><b><<nochoice>></b></option>\n      </$list>\n    </$set>\n    <$list filter=\"$selectFilter$\">\n      <option value=<<tmap \"splitAndSelect\" \"|\" \"0\">> >\n        <$view tiddler=<<tmap \"splitAndSelect\" \"|\" \"1\">> field=\"title\" />\n      </option>\n    </$list>\n  </$select>\n\\end\n\n\\define input-radio(field, index, selectFilter, default)\n  <$list filter=\"$selectFilter$\">\n    <$radio\n        tiddler=<<output>>\n        field=\"$field$\"\n        index=\"$index$\"\n        value=<<tmap \"splitAndSelect\" \"|\" \"0\">>>\n      <<tmap \"splitAndSelect\" \"|\" \"1\">>\n    </$radio><br />\n  </$list>\n\\end\n\n\\define tmap-row(title, field, index, type, descr, note, label, default, readonly, reset, selectFilter, nochoice, invert, class, focus)\n  <tr>\n    <td class=\"tmap-title\">$title$:</td>\n    <td>\n        <<$type$\n          field:\"$field$\"\n          index:\"$index$\"\n          readonly:\"$readonly$\"\n          default:\"$default$\"\n          label:\"$label$\"\n          invert:\"$invert$\"\n          selectFilter:\"$selectFilter$\"\n          nochoice:\"$nochoice$\"\n          focus:\"$focus$\"\n          class:\"$class$\">>\n        <$reveal type=\"match\" text=\"true\" default=\"$reset$\">\n          <$button>reset\n            <$action-setfield $tiddler=<<output>> $field=\"$field$\" $index=\"$index$\" $value=\"$default$\" />\n          </$button>\n        </$reveal>\n    </td>\n    <td>\n      <span class=\"tmap-description\">$descr$</span>\n      <$reveal type=\"nomatch\" text=\"\" default=\"$note$\">\n        <div class=\"tmap-note\">''Note:'' $note$</div>\n      </$reveal>\n    </td>\n  </tr>\n\\end\n\n\\define visConfiguration(inheritedList, extensionField, styleName:\"style\")\n  <fieldset><legend>Visjs configurations ($styleName$)</legend>\n    <div class=\"tmap-flash-message tmap-info\">\n      Only config items that you actually changed have an effect on\n      the graph. Other options are visible, yet, inactive.\n    </div>\n    <$tmap-config\n        mode=\"manage-node-types\"\n        inherited=\"$inheritedList$\"\n        extension=\"$extensionField$\" />\n  </fieldset>\n\\end\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/misc/defaultViewHolder": {
            "title": "$:/plugins/felixhayashi/tiddlymap/misc/defaultViewHolder",
            "text": "Default"
        },
        "$:/plugins/felixhayashi/tiddlymap/graph/nodeTypes/tmap:central-topic": {
            "title": "$:/plugins/felixhayashi/tiddlymap/graph/nodeTypes/tmap:central-topic",
            "description": "The style is applied to the node that you marked as central topic in a map.",
            "style": "{\"font\":{\"size\":22,\"color\":\"rgba(0,0,0,1)\"},\"shape\":\"star\"}"
        },
        "$:/plugins/felixhayashi/tiddlymap/graph/nodeTypes/tmap:neighbour": {
            "title": "$:/plugins/felixhayashi/tiddlymap/graph/nodeTypes/tmap:neighbour",
            "description": "Neighbours are all nodes that are not part of the original set of nodes (\"matches\") but are connected (either outgoing or incoming) to a node of the original set.",
            "style": "{\"color\":\"#565656\"}"
        },
        "$:/plugins/felixhayashi/tiddlymap/graph/views/Default/filter/edges": {
            "title": "$:/plugins/felixhayashi/tiddlymap/graph/views/Default/filter/edges"
        },
        "$:/plugins/felixhayashi/tiddlymap/graph/views/Default/filter/nodes": {
            "title": "$:/plugins/felixhayashi/tiddlymap/graph/views/Default/filter/nodes"
        },
        "$:/plugins/felixhayashi/tiddlymap/graph/views/Default": {
            "title": "$:/plugins/felixhayashi/tiddlymap/graph/views/Default",
            "config.physics_mode": "false",
            "isview": "true"
        },
        "$:/plugins/felixhayashi/tiddlymap/graph/views/Live View/filter/edges": {
            "title": "$:/plugins/felixhayashi/tiddlymap/graph/views/Live View/filter/edges",
            "filter": "[prefix[$:/plugins/felixhayashi/tiddlymap/graph/edgeTypes]]",
            "text": "\n\n"
        },
        "$:/plugins/felixhayashi/tiddlymap/graph/views/Live View/filter/nodes": {
            "title": "$:/plugins/felixhayashi/tiddlymap/graph/views/Live View/filter/nodes",
            "filter": "[field:title{$:/temp/tmap/currentTiddler}]"
        },
        "$:/plugins/felixhayashi/tiddlymap/graph/views/Live View": {
            "title": "$:/plugins/felixhayashi/tiddlymap/graph/views/Live View",
            "config.refresh-triggers": "$:/temp/tmap/currentTiddler",
            "config.physics_mode": "true",
            "config.vis": "{\"physics\":{\"forceAtlas2Based\":{\"springConstant\":0.09}}}",
            "config.neighbourhood_scope": "1",
            "created": "20150331114808577",
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OntoRisk Project

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        "$:/plugins/felixhayashi/vis/img/network/addNodeIcon.png": {
            "title": "$:/plugins/felixhayashi/vis/img/network/addNodeIcon.png",
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        "$:/plugins/felixhayashi/vis/img/network/backIcon.png": {
            "title": "$:/plugins/felixhayashi/vis/img/network/backIcon.png",
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        "$:/plugins/felixhayashi/vis/img/network/connectIcon.png": {
            "title": "$:/plugins/felixhayashi/vis/img/network/connectIcon.png",
            "type": "image/png",
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        "$:/plugins/felixhayashi/vis/img/network/cross.png": {
            "title": "$:/plugins/felixhayashi/vis/img/network/cross.png",
            "type": "image/png",
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        },
        "$:/plugins/felixhayashi/vis/img/network/cross2.png": {
            "title": "$:/plugins/felixhayashi/vis/img/network/cross2.png",
            "type": "image/png",
            "text": 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        "$:/plugins/felixhayashi/vis/img/network/deleteIcon.png": {
            "title": "$:/plugins/felixhayashi/vis/img/network/deleteIcon.png",
            "type": "image/png",
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            "title": "$:/plugins/felixhayashi/vis/img/network/downArrow.png",
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        "$:/plugins/felixhayashi/vis/img/network/leftArrow.png": {
            "title": "$:/plugins/felixhayashi/vis/img/network/leftArrow.png",
            "type": "image/png",
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            "title": "$:/plugins/felixhayashi/vis/img/network/rightArrow.png",
            "type": "image/png",
            "text": 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"
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        "$:/plugins/felixhayashi/vis/img/network/upArrow.png": {
            "title": "$:/plugins/felixhayashi/vis/img/network/upArrow.png",
            "type": "image/png",
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        "$:/plugins/felixhayashi/vis/img/timeline/delete.png": {
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            "type": "image/png",
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        },
        "$:/plugins/felixhayashi/vis/readme": {
            "title": "$:/plugins/felixhayashi/vis/readme",
            "text": "! TW5-Vis.js\n\nA tiddlywiki plugin for the vis.js library.\n\n---\n\n! Notes on Copyright\n\n!! TiddlyWiki\n\nCreated by Jeremy Ruston, (jeremy [at] jermolene [dot] com)\n\nCopyright © Jeremy Ruston 2004-2007 Copyright © UnaMesa Association 2007-2014\n\nPublished under the following [licenses](https://github.com/Jermolene/TiddlyWiki5/tree/master/licenses):\n\n1. BSD 3-clause \"New\" or \"Revised\" License (including any right to adopt any future version of a license if permitted)\n2. Creative Commons Attribution 3.0 (including any right to adopt any future version of a license if permitted)\n\n!! The **vis.js** library\n\nCopyright (c) 2014 [Almende B.V.](https://github.com/almende/vis)\n\nPublished under the following licenses:\n\n1. Apache License Version 2.0, January 2004 http://www.apache.org/licenses/\n2. MIT License (MIT)\n"
        },
        "$:/plugins/felixhayashi/vis/vis.css": {
            "title": "$:/plugins/felixhayashi/vis/vis.css",
            "type": "text/vnd.tiddlywiki",
            "tags": "$:/tags/Stylesheet",
            "text": "\\rules except list\n\n\\define datauri(title)\n<$macrocall $name=\"makedatauri\" type={{$title$!!type}} text={{$title$}}/>\n\\end\n\n.vis .overlay{position:absolute;top:0;left:0;width:100%;height:100%;z-index:10}.vis-active{box-shadow:0 0 10px #86d5f8}.vis [class*=\"span\"]{min-height:0;width:auto}div.vis-configuration{position:relative;display:block;float:left;font-size:12px}div.vis-configuration-wrapper{display:block;width:700px}div.vis-configuration-wrapper::after{clear:both;content:\"\";display:block}div.vis-configuration.vis-config-option-container{display:block;width:495px;background-color:#fff;border:2px solid #f7f8fa;border-radius:4px;margin-top:20px;left:10px;padding-left:5px}div.vis-configuration.vis-config-button{display:block;width:495px;height:25px;vertical-align:middle;line-height:25px;background-color:#f7f8fa;border:2px solid #ceced0;border-radius:4px;margin-top:20px;left:10px;padding-left:5px;cursor:pointer;margin-bottom:30px}div.vis-configuration.vis-config-button.hover{background-color:#4588e6;border:2px solid #214373;color:#fff}div.vis-configuration.vis-config-item{display:block;float:left;width:495px;height:25px;vertical-align:middle;line-height:25px}div.vis-configuration.vis-config-item.vis-config-s2{left:10px;background-color:#f7f8fa;padding-left:5px;border-radius:3px}div.vis-configuration.vis-config-item.vis-config-s3{left:20px;background-color:#e4e9f0;padding-left:5px;border-radius:3px}div.vis-configuration.vis-config-item.vis-config-s4{left:30px;background-color:#cfd8e6;padding-left:5px;border-radius:3px}div.vis-configuration.vis-config-header{font-size:18px;font-weight:bold}div.vis-configuration.vis-config-label{width:120px;height:25px;line-height:25px}div.vis-configuration.vis-config-label.vis-config-s3{width:110px}div.vis-configuration.vis-config-label.vis-config-s4{width:100px}div.vis-configuration.vis-config-colorBlock{top:1px;width:30px;height:19px;border:1px solid #444;border-radius:2px;padding:0;margin:0;cursor:pointer}input.vis-configuration.vis-config-checkbox{left:-5px}input.vis-configuration.vis-config-rangeinput{position:relative;top:-5px;width:60px;padding:1px;margin:0;pointer-events:none}input.vis-configuration.vis-config-range{-webkit-appearance:none;border:0 solid white;background-color:rgba(0,0,0,0);width:300px;height:20px}input.vis-configuration.vis-config-range::-webkit-slider-runnable-track{width:300px;height:5px;background:#dedede;background:-moz-linear-gradient(top,#dedede 0,#c8c8c8 99%);background:-webkit-gradient(linear,left top,left bottom,color-stop(0,#dedede),color-stop(99%,#c8c8c8));background:-webkit-linear-gradient(top,#dedede 0,#c8c8c8 99%);background:-o-linear-gradient(top,#dedede 0,#c8c8c8 99%);background:-ms-linear-gradient(top,#dedede 0,#c8c8c8 99%);background:linear-gradient(to bottom,#dedede 0,#c8c8c8 99%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#dedede',endColorstr='#c8c8c8',GradientType=0);border:1px solid #999;box-shadow:#aaa 0 0 3px 0;border-radius:3px}input.vis-configuration.vis-config-range::-webkit-slider-thumb{-webkit-appearance:none;border:1px solid #14334b;height:17px;width:17px;border-radius:50%;background:#3876c2;background:-moz-linear-gradient(top,#3876c2 0,#385380 100%);background:-webkit-gradient(linear,left top,left bottom,color-stop(0,#3876c2),color-stop(100%,#385380));background:-webkit-linear-gradient(top,#3876c2 0,#385380 100%);background:-o-linear-gradient(top,#3876c2 0,#385380 100%);background:-ms-linear-gradient(top,#3876c2 0,#385380 100%);background:linear-gradient(to bottom,#3876c2 0,#385380 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#3876c2',endColorstr='#385380',GradientType=0);box-shadow:#111927 0 0 1px 0;margin-top:-7px}input.vis-configuration.vis-config-range:focus{outline:0}input.vis-configuration.vis-config-range:focus::-webkit-slider-runnable-track{background:#9d9d9d;background:-moz-linear-gradient(top,#9d9d9d 0,#c8c8c8 99%);background:-webkit-gradient(linear,left top,left bottom,color-stop(0,#9d9d9d),color-stop(99%,#c8c8c8));background:-webkit-linear-gradient(top,#9d9d9d 0,#c8c8c8 99%);background:-o-linear-gradient(top,#9d9d9d 0,#c8c8c8 99%);background:-ms-linear-gradient(top,#9d9d9d 0,#c8c8c8 99%);background:linear-gradient(to bottom,#9d9d9d 0,#c8c8c8 99%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#9d9d9d',endColorstr='#c8c8c8',GradientType=0)}input.vis-configuration.vis-config-range::-moz-range-track{width:300px;height:10px;background:#dedede;background:-moz-linear-gradient(top,#dedede 0,#c8c8c8 99%);background:-webkit-gradient(linear,left top,left bottom,color-stop(0,#dedede),color-stop(99%,#c8c8c8));background:-webkit-linear-gradient(top,#dedede 0,#c8c8c8 99%);background:-o-linear-gradient(top,#dedede 0,#c8c8c8 99%);background:-ms-linear-gradient(top,#dedede 0,#c8c8c8 99%);background:linear-gradient(to bottom,#dedede 0,#c8c8c8 99%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#dedede',endColorstr='#c8c8c8',GradientType=0);border:1px solid #999;box-shadow:#aaa 0 0 3px 0;border-radius:3px}input.vis-configuration.vis-config-range::-moz-range-thumb{border:0;height:16px;width:16px;border-radius:50%;background:#385380}input.vis-configuration.vis-config-range:-moz-focusring{outline:1px solid white;outline-offset:-1px}input.vis-configuration.vis-config-range::-ms-track{width:300px;height:5px;background:transparent;border-color:transparent;border-width:6px 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            "text": "/*\\\ntitle: $:/plugins/felixhayashi/vis/vis.js\ntype: application/javascript\nmodule-type: library\n\n@preserve\n\\*/\n\n/*** TO AVOID STRANGE LIB ERRORS FROM BUBBLING UP *****************/\n\nif($tw.boot.tasks.trapErrors) {\n\n  var defaultHandler = window.onerror;\n  window.onerror = function(errorMsg, url, lineNumber) {\n    \n    if(errorMsg.indexOf(\"NS_ERROR_NOT_AVAILABLE\") !== -1\n       && url == \"$:/plugins/felixhayashi/vis/vis.js\") {\n         \n      var text = \"Strange firefox related vis.js error (see #125)\";\n      console.error(text, arguments);\n      \n    } else if(errorMsg.indexOf(\"Permission denied to access property\") !== -1) {\n      \n      var text = \"Strange firefox related vis.js error (see #163)\";\n      console.error(text, arguments);\n      \n    } else if(defaultHandler) {\n      \n      defaultHandler.apply(this, arguments);\n      \n    }\n    \n  }\n  \n}\n\n/******************************************************************/\n\n/**\n * vis.js\n * https://github.com/almende/vis\n *\n * A dynamic, browser-based visualization library.\n *\n * @version 4.21.0\n * @date    2017-10-12\n *\n * @license\n * Copyright (C) 2011-2017 Almende B.V, http://almende.com\n *\n * Vis.js is dual licensed under both\n *\n * * The Apache 2.0 License\n *   http://www.apache.org/licenses/LICENSE-2.0\n *\n * and\n *\n * * The MIT License\n *   http://opensource.org/licenses/MIT\n *\n * Vis.js may be distributed under either license.\n */\n\"use strict\";(function webpackUniversalModuleDefinition(root,factory){if(typeof exports===\"object\"&&typeof module===\"object\")module.exports=factory();else if(typeof define===\"function\"&&define.amd)define([],factory);else if(typeof exports===\"object\")exports[\"vis\"]=factory();else root[\"vis\"]=factory()})(this,function(){return function(modules){var installedModules={};function __webpack_require__(moduleId){if(installedModules[moduleId]){return installedModules[moduleId].exports}var module=installedModules[moduleId]={i:moduleId,l:false,exports:{}};modules[moduleId].call(module.exports,module,module.exports,__webpack_require__);module.l=true;return module.exports}__webpack_require__.m=modules;__webpack_require__.c=installedModules;__webpack_require__.d=function(exports,name,getter){if(!__webpack_require__.o(exports,name)){Object.defineProperty(exports,name,{configurable:false,enumerable:true,get:getter})}};__webpack_require__.n=function(module){var getter=module&&module.__esModule?function getDefault(){return module[\"default\"]}:function getModuleExports(){return module};__webpack_require__.d(getter,\"a\",getter);return getter};__webpack_require__.o=function(object,property){return Object.prototype.hasOwnProperty.call(object,property)};__webpack_require__.p=\"\";return __webpack_require__(__webpack_require__.s=123)}([function(module,exports,__webpack_require__){\"use strict\";exports.__esModule=true;exports.default=function(instance,Constructor){if(!(instance instanceof Constructor)){throw new TypeError(\"Cannot call a class as a function\")}}},function(module,exports,__webpack_require__){\"use strict\";exports.__esModule=true;var _defineProperty=__webpack_require__(169);var _defineProperty2=_interopRequireDefault(_defineProperty);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}exports.default=function(){function defineProperties(target,props){for(var i=0;i<props.length;i++){var descriptor=props[i];descriptor.enumerable=descriptor.enumerable||false;descriptor.configurable=true;if(\"value\"in descriptor)descriptor.writable=true;(0,_defineProperty2.default)(target,descriptor.key,descriptor)}}return function(Constructor,protoProps,staticProps){if(protoProps)defineProperties(Constructor.prototype,protoProps);if(staticProps)defineProperties(Constructor,staticProps);return Constructor}}()},function(module,exports,__webpack_require__){\"use strict\";var _getIterator2=__webpack_require__(77);var _getIterator3=_interopRequireDefault(_getIterator2);var _create=__webpack_require__(29);var _create2=_interopRequireDefault(_create);var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var moment=__webpack_require__(9);var uuid=__webpack_require__(157);exports.isNumber=function(object){return object instanceof Number||typeof object==\"number\"};exports.recursiveDOMDelete=function(DOMobject){if(DOMobject){while(DOMobject.hasChildNodes()===true){exports.recursiveDOMDelete(DOMobject.firstChild);DOMobject.removeChild(DOMobject.firstChild)}}};exports.giveRange=function(min,max,total,value){if(max==min){return.5}else{var scale=1/(max-min);return Math.max(0,(value-min)*scale)}};exports.isString=function(object){return object instanceof String||typeof object==\"string\"};exports.isDate=function(object){if(object instanceof Date){return true}else if(exports.isString(object)){var match=ASPDateRegex.exec(object);if(match){return true}else if(!isNaN(Date.parse(object))){return true}}return false};exports.randomUUID=function(){return uuid.v4()};exports.assignAllKeys=function(obj,value){for(var prop in obj){if(obj.hasOwnProperty(prop)){if((0,_typeof3[\"default\"])(obj[prop])!==\"object\"){obj[prop]=value}}}};function copyOrDelete(a,b,prop,allowDeletion){var doDeletion=false;if(allowDeletion===true){doDeletion=b[prop]===null&&a[prop]!==undefined}if(doDeletion){delete a[prop]}else{a[prop]=b[prop]}}exports.fillIfDefined=function(a,b){var allowDeletion=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;for(var prop in a){if(b[prop]!==undefined){if(b[prop]===null||(0,_typeof3[\"default\"])(b[prop])!==\"object\"){copyOrDelete(a,b,prop,allowDeletion)}else{if((0,_typeof3[\"default\"])(a[prop])===\"object\"){exports.fillIfDefined(a[prop],b[prop],allowDeletion)}}}}};exports.extend=function(a,b){for(var i=1;i<arguments.length;i++){var other=arguments[i];for(var prop in other){if(other.hasOwnProperty(prop)){a[prop]=other[prop]}}}return a};exports.selectiveExtend=function(props,a,b){if(!Array.isArray(props)){throw new Error(\"Array with property names expected as first argument\")}for(var i=2;i<arguments.length;i++){var other=arguments[i];for(var p=0;p<props.length;p++){var prop=props[p];if(other&&other.hasOwnProperty(prop)){a[prop]=other[prop]}}}return a};exports.selectiveDeepExtend=function(props,a,b){var allowDeletion=arguments.length>3&&arguments[3]!==undefined?arguments[3]:false;if(Array.isArray(b)){throw new TypeError(\"Arrays are not supported by deepExtend\")}for(var p=0;p<props.length;p++){var prop=props[p];if(b.hasOwnProperty(prop)){if(b[prop]&&b[prop].constructor===Object){if(a[prop]===undefined){a[prop]={}}if(a[prop].constructor===Object){exports.deepExtend(a[prop],b[prop],false,allowDeletion)}else{copyOrDelete(a,b,prop,allowDeletion)}}else if(Array.isArray(b[prop])){throw new TypeError(\"Arrays are not supported by deepExtend\")}else{copyOrDelete(a,b,prop,allowDeletion)}}}return a};exports.selectiveNotDeepExtend=function(propsToExclude,a,b){var allowDeletion=arguments.length>3&&arguments[3]!==undefined?arguments[3]:false;if(Array.isArray(b)){throw new TypeError(\"Arrays are not supported by deepExtend\")}for(var prop in b){if(!b.hasOwnProperty(prop))continue;if(propsToExclude.indexOf(prop)!==-1)continue;if(b[prop]&&b[prop].constructor===Object){if(a[prop]===undefined){a[prop]={}}if(a[prop].constructor===Object){exports.deepExtend(a[prop],b[prop])}else{copyOrDelete(a,b,prop,allowDeletion)}}else if(Array.isArray(b[prop])){a[prop]=[];for(var i=0;i<b[prop].length;i++){a[prop].push(b[prop][i])}}else{copyOrDelete(a,b,prop,allowDeletion)}}return a};exports.deepExtend=function(a,b){var protoExtend=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;var allowDeletion=arguments.length>3&&arguments[3]!==undefined?arguments[3]:false;for(var prop in b){if(b.hasOwnProperty(prop)||protoExtend===true){if(b[prop]&&b[prop].constructor===Object){if(a[prop]===undefined){a[prop]={}}if(a[prop].constructor===Object){exports.deepExtend(a[prop],b[prop],protoExtend)}else{copyOrDelete(a,b,prop,allowDeletion)}}else if(Array.isArray(b[prop])){a[prop]=[];for(var i=0;i<b[prop].length;i++){a[prop].push(b[prop][i])}}else{copyOrDelete(a,b,prop,allowDeletion)}}}return a};exports.equalArray=function(a,b){if(a.length!=b.length)return false;for(var i=0,len=a.length;i<len;i++){if(a[i]!=b[i])return false}return true};exports.convert=function(object,type){var match;if(object===undefined){return undefined}if(object===null){return null}if(!type){return object}if(!(typeof type===\"string\")&&!(type instanceof String)){throw new Error(\"Type must be a string\")}switch(type){case\"boolean\":case\"Boolean\":return Boolean(object);case\"number\":case\"Number\":if(exports.isString(object)&&!isNaN(Date.parse(object))){return moment(object).valueOf()}else{return Number(object.valueOf())}case\"string\":case\"String\":return String(object);case\"Date\":if(exports.isNumber(object)){return new Date(object)}if(object instanceof Date){return new Date(object.valueOf())}else if(moment.isMoment(object)){return new Date(object.valueOf())}if(exports.isString(object)){match=ASPDateRegex.exec(object);if(match){return new Date(Number(match[1]))}else{return moment(new Date(object)).toDate()}}else{throw new Error(\"Cannot convert object of type \"+exports.getType(object)+\" to type Date\")}case\"Moment\":if(exports.isNumber(object)){return moment(object)}if(object instanceof Date){return moment(object.valueOf())}else if(moment.isMoment(object)){return moment(object)}if(exports.isString(object)){match=ASPDateRegex.exec(object);if(match){return moment(Number(match[1]))}else{return moment(object)}}else{throw new Error(\"Cannot convert object of type \"+exports.getType(object)+\" to type Date\")}case\"ISODate\":if(exports.isNumber(object)){return new Date(object)}else if(object instanceof Date){return object.toISOString()}else if(moment.isMoment(object)){return object.toDate().toISOString()}else if(exports.isString(object)){match=ASPDateRegex.exec(object);if(match){return new Date(Number(match[1])).toISOString()}else{return moment(object).format()}}else{throw new Error(\"Cannot convert object of type \"+exports.getType(object)+\" to type ISODate\")}case\"ASPDate\":if(exports.isNumber(object)){return\"/Date(\"+object+\")/\"}else if(object instanceof Date){return\"/Date(\"+object.valueOf()+\")/\"}else if(exports.isString(object)){match=ASPDateRegex.exec(object);var value;if(match){value=new Date(Number(match[1])).valueOf()}else{value=new Date(object).valueOf()}return\"/Date(\"+value+\")/\"}else{throw new Error(\"Cannot convert object of type \"+exports.getType(object)+\" to type ASPDate\")}default:throw new Error('Unknown type \"'+type+'\"')}};var ASPDateRegex=/^\\/?Date\\((\\-?\\d+)/i;exports.getType=function(object){var type=typeof object===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(object);if(type==\"object\"){if(object===null){return\"null\"}if(object instanceof Boolean){return\"Boolean\"}if(object instanceof Number){return\"Number\"}if(object instanceof String){return\"String\"}if(Array.isArray(object)){return\"Array\"}if(object instanceof Date){return\"Date\"}return\"Object\"}else if(type==\"number\"){return\"Number\"}else if(type==\"boolean\"){return\"Boolean\"}else if(type==\"string\"){return\"String\"}else if(type===undefined){return\"undefined\"}return type};exports.copyAndExtendArray=function(arr,newValue){var newArr=[];for(var i=0;i<arr.length;i++){newArr.push(arr[i])}newArr.push(newValue);return newArr};exports.copyArray=function(arr){var newArr=[];for(var i=0;i<arr.length;i++){newArr.push(arr[i])}return newArr};exports.getAbsoluteLeft=function(elem){return elem.getBoundingClientRect().left};exports.getAbsoluteRight=function(elem){return elem.getBoundingClientRect().right};exports.getAbsoluteTop=function(elem){return elem.getBoundingClientRect().top};exports.addClassName=function(elem,classNames){var classes=elem.className.split(\" \");var newClasses=classNames.split(\" \");classes=classes.concat(newClasses.filter(function(className){return classes.indexOf(className)<0}));elem.className=classes.join(\" \")};exports.removeClassName=function(elem,classNames){var classes=elem.className.split(\" \");var oldClasses=classNames.split(\" \");classes=classes.filter(function(className){return oldClasses.indexOf(className)<0});elem.className=classes.join(\" \")};exports.forEach=function(object,callback){var i,len;if(Array.isArray(object)){for(i=0,len=object.length;i<len;i++){callback(object[i],i,object)}}else{for(i in object){if(object.hasOwnProperty(i)){callback(object[i],i,object)}}}};exports.toArray=function(object){var array=[];for(var prop in object){if(object.hasOwnProperty(prop))array.push(object[prop])}return array};exports.updateProperty=function(object,key,value){if(object[key]!==value){object[key]=value;return true}else{return false}};exports.throttle=function(fn){var scheduled=false;return function throttled(){if(!scheduled){scheduled=true;requestAnimationFrame(function(){scheduled=false;fn()})}}};exports.addEventListener=function(element,action,listener,useCapture){if(element.addEventListener){if(useCapture===undefined)useCapture=false;if(action===\"mousewheel\"&&navigator.userAgent.indexOf(\"Firefox\")>=0){action=\"DOMMouseScroll\"}element.addEventListener(action,listener,useCapture)}else{element.attachEvent(\"on\"+action,listener)}};exports.removeEventListener=function(element,action,listener,useCapture){if(element.removeEventListener){if(useCapture===undefined)useCapture=false;if(action===\"mousewheel\"&&navigator.userAgent.indexOf(\"Firefox\")>=0){action=\"DOMMouseScroll\"}element.removeEventListener(action,listener,useCapture)}else{element.detachEvent(\"on\"+action,listener)}};exports.preventDefault=function(event){if(!event)event=window.event;if(event.preventDefault){event.preventDefault()}else{event.returnValue=false}};exports.getTarget=function(event){if(!event){event=window.event}var target;if(event.target){target=event.target}else if(event.srcElement){target=event.srcElement}if(target.nodeType!=undefined&&target.nodeType==3){target=target.parentNode}return target};exports.hasParent=function(element,parent){var e=element;while(e){if(e===parent){return true}e=e.parentNode}return false};exports.option={};exports.option.asBoolean=function(value,defaultValue){if(typeof value==\"function\"){value=value()}if(value!=null){return value!=false}return defaultValue||null};exports.option.asNumber=function(value,defaultValue){if(typeof value==\"function\"){value=value()}if(value!=null){return Number(value)||defaultValue||null}return defaultValue||null};exports.option.asString=function(value,defaultValue){if(typeof value==\"function\"){value=value()}if(value!=null){return String(value)}return defaultValue||null};exports.option.asSize=function(value,defaultValue){if(typeof value==\"function\"){value=value()}if(exports.isString(value)){return value}else if(exports.isNumber(value)){return value+\"px\"}else{return defaultValue||null}};exports.option.asElement=function(value,defaultValue){if(typeof value==\"function\"){value=value()}return value||defaultValue||null};exports.hexToRGB=function(hex){var shorthandRegex=/^#?([a-f\\d])([a-f\\d])([a-f\\d])$/i;hex=hex.replace(shorthandRegex,function(m,r,g,b){return r+r+g+g+b+b});var result=/^#?([a-f\\d]{2})([a-f\\d]{2})([a-f\\d]{2})$/i.exec(hex);return result?{r:parseInt(result[1],16),g:parseInt(result[2],16),b:parseInt(result[3],16)}:null};exports.overrideOpacity=function(color,opacity){var rgb;if(color.indexOf(\"rgba\")!=-1){return color}else if(color.indexOf(\"rgb\")!=-1){rgb=color.substr(color.indexOf(\"(\")+1).replace(\")\",\"\").split(\",\");return\"rgba(\"+rgb[0]+\",\"+rgb[1]+\",\"+rgb[2]+\",\"+opacity+\")\"}else{rgb=exports.hexToRGB(color);if(rgb==null){return color}else{return\"rgba(\"+rgb.r+\",\"+rgb.g+\",\"+rgb.b+\",\"+opacity+\")\"}}};exports.RGBToHex=function(red,green,blue){return\"#\"+((1<<24)+(red<<16)+(green<<8)+blue).toString(16).slice(1)};exports.parseColor=function(color){var c;if(exports.isString(color)===true){if(exports.isValidRGB(color)===true){var rgb=color.substr(4).substr(0,color.length-5).split(\",\").map(function(value){return parseInt(value)});color=exports.RGBToHex(rgb[0],rgb[1],rgb[2])}if(exports.isValidHex(color)===true){var hsv=exports.hexToHSV(color);var lighterColorHSV={h:hsv.h,s:hsv.s*.8,v:Math.min(1,hsv.v*1.02)};var darkerColorHSV={h:hsv.h,s:Math.min(1,hsv.s*1.25),v:hsv.v*.8};var darkerColorHex=exports.HSVToHex(darkerColorHSV.h,darkerColorHSV.s,darkerColorHSV.v);var lighterColorHex=exports.HSVToHex(lighterColorHSV.h,lighterColorHSV.s,lighterColorHSV.v);c={background:color,border:darkerColorHex,highlight:{background:lighterColorHex,border:darkerColorHex},hover:{background:lighterColorHex,border:darkerColorHex}}}else{c={background:color,border:color,highlight:{background:color,border:color},hover:{background:color,border:color}}}}else{c={};c.background=color.background||undefined;c.border=color.border||undefined;if(exports.isString(color.highlight)){c.highlight={border:color.highlight,background:color.highlight}}else{c.highlight={};c.highlight.background=color.highlight&&color.highlight.background||undefined;c.highlight.border=color.highlight&&color.highlight.border||undefined}if(exports.isString(color.hover)){c.hover={border:color.hover,background:color.hover}}else{c.hover={};c.hover.background=color.hover&&color.hover.background||undefined;c.hover.border=color.hover&&color.hover.border||undefined}}return c};exports.RGBToHSV=function(red,green,blue){red=red/255;green=green/255;blue=blue/255;var minRGB=Math.min(red,Math.min(green,blue));var maxRGB=Math.max(red,Math.max(green,blue));if(minRGB==maxRGB){return{h:0,s:0,v:minRGB}}var d=red==minRGB?green-blue:blue==minRGB?red-green:blue-red;var h=red==minRGB?3:blue==minRGB?1:5;var hue=60*(h-d/(maxRGB-minRGB))/360;var saturation=(maxRGB-minRGB)/maxRGB;var value=maxRGB;return{h:hue,s:saturation,v:value}};var cssUtil={split:function split(cssText){var styles={};cssText.split(\";\").forEach(function(style){if(style.trim()!=\"\"){var parts=style.split(\":\");var key=parts[0].trim();var value=parts[1].trim();styles[key]=value}});return styles},join:function join(styles){return(0,_keys2[\"default\"])(styles).map(function(key){return key+\": \"+styles[key]}).join(\"; \")}};exports.addCssText=function(element,cssText){var currentStyles=cssUtil.split(element.style.cssText);var newStyles=cssUtil.split(cssText);var styles=exports.extend(currentStyles,newStyles);element.style.cssText=cssUtil.join(styles)};exports.removeCssText=function(element,cssText){var styles=cssUtil.split(element.style.cssText);var removeStyles=cssUtil.split(cssText);for(var key in removeStyles){if(removeStyles.hasOwnProperty(key)){delete styles[key]}}element.style.cssText=cssUtil.join(styles)};exports.HSVToRGB=function(h,s,v){var r,g,b;var i=Math.floor(h*6);var f=h*6-i;var p=v*(1-s);var q=v*(1-f*s);var t=v*(1-(1-f)*s);switch(i%6){case 0:r=v,g=t,b=p;break;case 1:r=q,g=v,b=p;break;case 2:r=p,g=v,b=t;break;case 3:r=p,g=q,b=v;break;case 4:r=t,g=p,b=v;break;case 5:r=v,g=p,b=q;break}return{r:Math.floor(r*255),g:Math.floor(g*255),b:Math.floor(b*255)}};exports.HSVToHex=function(h,s,v){var rgb=exports.HSVToRGB(h,s,v);return exports.RGBToHex(rgb.r,rgb.g,rgb.b)};exports.hexToHSV=function(hex){var rgb=exports.hexToRGB(hex);return exports.RGBToHSV(rgb.r,rgb.g,rgb.b)};exports.isValidHex=function(hex){var isOk=/(^#[0-9A-F]{6}$)|(^#[0-9A-F]{3}$)/i.test(hex);return isOk};exports.isValidRGB=function(rgb){rgb=rgb.replace(\" \",\"\");var isOk=/rgb\\((\\d{1,3}),(\\d{1,3}),(\\d{1,3})\\)/i.test(rgb);return isOk};exports.isValidRGBA=function(rgba){rgba=rgba.replace(\" \",\"\");var isOk=/rgba\\((\\d{1,3}),(\\d{1,3}),(\\d{1,3}),(.{1,3})\\)/i.test(rgba);return isOk};exports.selectiveBridgeObject=function(fields,referenceObject){if(referenceObject!==null&&(typeof referenceObject===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(referenceObject))===\"object\"){var objectTo=(0,_create2[\"default\"])(referenceObject);for(var i=0;i<fields.length;i++){if(referenceObject.hasOwnProperty(fields[i])){if((0,_typeof3[\"default\"])(referenceObject[fields[i]])==\"object\"){objectTo[fields[i]]=exports.bridgeObject(referenceObject[fields[i]])}}}return objectTo}else{return null}};exports.bridgeObject=function(referenceObject){if(referenceObject!==null&&(typeof referenceObject===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(referenceObject))===\"object\"){var objectTo=(0,_create2[\"default\"])(referenceObject);if(referenceObject instanceof Element){objectTo=referenceObject}else{objectTo=(0,_create2[\"default\"])(referenceObject);for(var i in referenceObject){if(referenceObject.hasOwnProperty(i)){if((0,_typeof3[\"default\"])(referenceObject[i])==\"object\"){objectTo[i]=exports.bridgeObject(referenceObject[i])}}}}return objectTo}else{return null}};exports.insertSort=function(a,compare){for(var i=0;i<a.length;i++){var k=a[i];for(var j=i;j>0&&compare(k,a[j-1])<0;j--){a[j]=a[j-1]}a[j]=k}return a};exports.mergeOptions=function(mergeTarget,options,option){var globalOptions=arguments.length>3&&arguments[3]!==undefined?arguments[3]:{};var isPresent=function isPresent(obj){return obj!==null&&obj!==undefined};var isObject=function isObject(obj){return obj!==null&&(typeof obj===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(obj))===\"object\"};var isEmpty=function isEmpty(obj){for(var x in obj){if(obj.hasOwnProperty(x))return false}return true};if(!isObject(mergeTarget)){throw new Error(\"Parameter mergeTarget must be an object\")}if(!isObject(options)){throw new Error(\"Parameter options must be an object\")}if(!isPresent(option)){throw new Error(\"Parameter option must have a value\")}if(!isObject(globalOptions)){throw new Error(\"Parameter globalOptions must be an object\")}var doMerge=function doMerge(target,options,option){if(!isObject(target[option])){target[option]={}}var src=options[option];var dst=target[option];for(var prop in src){if(src.hasOwnProperty(prop)){dst[prop]=src[prop]}}};var srcOption=options[option];var globalPassed=isObject(globalOptions)&&!isEmpty(globalOptions);var globalOption=globalPassed?globalOptions[option]:undefined;var globalEnabled=globalOption?globalOption.enabled:undefined;if(srcOption===undefined){return}if(typeof srcOption===\"boolean\"){if(!isObject(mergeTarget[option])){mergeTarget[option]={}}mergeTarget[option].enabled=srcOption;return}if(srcOption===null&&!isObject(mergeTarget[option])){if(isPresent(globalOption)){mergeTarget[option]=(0,_create2[\"default\"])(globalOption)}else{return}}if(!isObject(srcOption)){return}var enabled=true;if(srcOption.enabled!==undefined){enabled=srcOption.enabled}else{if(globalEnabled!==undefined){enabled=globalOption.enabled}}doMerge(mergeTarget,options,option);mergeTarget[option].enabled=enabled};exports.binarySearchCustom=function(orderedItems,comparator,field,field2){var maxIterations=1e4;var iteration=0;var low=0;var high=orderedItems.length-1;while(low<=high&&iteration<maxIterations){var middle=Math.floor((low+high)/2);var item=orderedItems[middle];var value=field2===undefined?item[field]:item[field][field2];var searchResult=comparator(value);if(searchResult==0){return middle}else if(searchResult==-1){low=middle+1}else{high=middle-1}iteration++}return-1};exports.binarySearchValue=function(orderedItems,target,field,sidePreference,comparator){var maxIterations=1e4;var iteration=0;var low=0;var high=orderedItems.length-1;var prevValue,value,nextValue,middle;comparator=comparator!=undefined?comparator:function(a,b){return a==b?0:a<b?-1:1};while(low<=high&&iteration<maxIterations){middle=Math.floor(.5*(high+low));prevValue=orderedItems[Math.max(0,middle-1)][field];value=orderedItems[middle][field];nextValue=orderedItems[Math.min(orderedItems.length-1,middle+1)][field];if(comparator(value,target)==0){return middle}else if(comparator(prevValue,target)<0&&comparator(value,target)>0){return sidePreference==\"before\"?Math.max(0,middle-1):middle}else if(comparator(value,target)<0&&comparator(nextValue,target)>0){return sidePreference==\"before\"?middle:Math.min(orderedItems.length-1,middle+1)}else{if(comparator(value,target)<0){low=middle+1}else{high=middle-1}}iteration++}return-1};exports.easingFunctions={linear:function linear(t){return t},easeInQuad:function easeInQuad(t){return t*t},easeOutQuad:function easeOutQuad(t){return t*(2-t)},easeInOutQuad:function easeInOutQuad(t){return t<.5?2*t*t:-1+(4-2*t)*t},easeInCubic:function easeInCubic(t){return t*t*t},easeOutCubic:function easeOutCubic(t){return--t*t*t+1},easeInOutCubic:function easeInOutCubic(t){return t<.5?4*t*t*t:(t-1)*(2*t-2)*(2*t-2)+1},easeInQuart:function easeInQuart(t){return t*t*t*t},easeOutQuart:function easeOutQuart(t){return 1- --t*t*t*t},easeInOutQuart:function easeInOutQuart(t){return t<.5?8*t*t*t*t:1-8*--t*t*t*t},easeInQuint:function easeInQuint(t){return t*t*t*t*t},easeOutQuint:function easeOutQuint(t){return 1+--t*t*t*t*t},easeInOutQuint:function easeInOutQuint(t){return t<.5?16*t*t*t*t*t:1+16*--t*t*t*t*t}};exports.getScrollBarWidth=function(){var inner=document.createElement(\"p\");inner.style.width=\"100%\";inner.style.height=\"200px\";var outer=document.createElement(\"div\");outer.style.position=\"absolute\";outer.style.top=\"0px\";outer.style.left=\"0px\";outer.style.visibility=\"hidden\";outer.style.width=\"200px\";outer.style.height=\"150px\";outer.style.overflow=\"hidden\";outer.appendChild(inner);document.body.appendChild(outer);var w1=inner.offsetWidth;outer.style.overflow=\"scroll\";var w2=inner.offsetWidth;if(w1==w2)w2=outer.clientWidth;document.body.removeChild(outer);return w1-w2};exports.topMost=function(pile,accessors){var candidate=void 0;if(!Array.isArray(accessors)){accessors=[accessors]}var _iteratorNormalCompletion=true;var _didIteratorError=false;var _iteratorError=undefined;try{for(var _iterator=(0,_getIterator3[\"default\"])(pile),_step;!(_iteratorNormalCompletion=(_step=_iterator.next()).done);_iteratorNormalCompletion=true){var member=_step.value;if(member){candidate=member[accessors[0]];for(var i=1;i<accessors.length;i++){if(candidate){candidate=candidate[accessors[i]]}else{continue}}if(typeof candidate!=\"undefined\"){break}}}}catch(err){_didIteratorError=true;_iteratorError=err}finally{try{if(!_iteratorNormalCompletion&&_iterator[\"return\"]){_iterator[\"return\"]()}}finally{if(_didIteratorError){throw _iteratorError}}}return candidate}},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(194),__esModule:true}},function(module,exports,__webpack_require__){\"use strict\";exports.__esModule=true;var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}exports.default=function(self,call){if(!self){throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\")}return call&&((typeof call===\"undefined\"?\"undefined\":(0,_typeof3.default)(call))===\"object\"||typeof call===\"function\")?call:self}},function(module,exports,__webpack_require__){\"use strict\";exports.__esModule=true;var _setPrototypeOf=__webpack_require__(196);var _setPrototypeOf2=_interopRequireDefault(_setPrototypeOf);var _create=__webpack_require__(29);var _create2=_interopRequireDefault(_create);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}exports.default=function(subClass,superClass){if(typeof superClass!==\"function\"&&superClass!==null){throw new TypeError(\"Super expression must either be null or a function, not \"+(typeof superClass===\"undefined\"?\"undefined\":(0,_typeof3.default)(superClass)))}subClass.prototype=(0,_create2.default)(superClass&&superClass.prototype,{constructor:{value:subClass,enumerable:false,writable:true,configurable:true}});if(superClass)_setPrototypeOf2.default?(0,_setPrototypeOf2.default)(subClass,superClass):subClass.__proto__=superClass}},function(module,exports,__webpack_require__){\"use strict\";exports.__esModule=true;var _iterator=__webpack_require__(142);var _iterator2=_interopRequireDefault(_iterator);var _symbol=__webpack_require__(144);var _symbol2=_interopRequireDefault(_symbol);var _typeof=typeof _symbol2.default===\"function\"&&typeof _iterator2.default===\"symbol\"?function(obj){return typeof obj}:function(obj){return obj&&typeof _symbol2.default===\"function\"&&obj.constructor===_symbol2.default&&obj!==_symbol2.default.prototype?\"symbol\":typeof obj};function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}exports.default=typeof _symbol2.default===\"function\"&&_typeof(_iterator2.default)===\"symbol\"?function(obj){return typeof obj===\"undefined\"?\"undefined\":_typeof(obj)}:function(obj){return obj&&typeof _symbol2.default===\"function\"&&obj.constructor===_symbol2.default&&obj!==_symbol2.default.prototype?\"symbol\":typeof obj===\"undefined\"?\"undefined\":_typeof(obj)}},function(module,exports){var core=module.exports={version:\"2.5.1\"};if(typeof __e==\"number\")__e=core},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(140),__esModule:true}},function(module,exports,__webpack_require__){\"use strict\";module.exports=typeof window!==\"undefined\"&&window[\"moment\"]||__webpack_require__(154)},function(module,exports,__webpack_require__){\"use strict\";function hammerMock(){var noop=function noop(){};return{on:noop,off:noop,destroy:noop,emit:noop,get:function get(m){return{set:noop}}}}if(typeof window!==\"undefined\"){var propagating=__webpack_require__(175);var Hammer=window[\"Hammer\"]||__webpack_require__(176);module.exports=propagating(Hammer,{preventDefault:\"mouse\"})}else{module.exports=function(){return hammerMock()}}},function(module,exports,__webpack_require__){\"use strict\";var _stringify=__webpack_require__(19);var _stringify2=_interopRequireDefault(_stringify);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Queue=__webpack_require__(43);function DataSet(data,options){if(data&&!Array.isArray(data)){options=data;data=null}this._options=options||{};this._data={};this.length=0;this._fieldId=this._options.fieldId||\"id\";this._type={};if(this._options.type){var fields=(0,_keys2[\"default\"])(this._options.type);for(var i=0,len=fields.length;i<len;i++){var field=fields[i];var value=this._options.type[field];if(value==\"Date\"||value==\"ISODate\"||value==\"ASPDate\"){this._type[field]=\"Date\"}else{this._type[field]=value}}}this._subscribers={};if(data){this.add(data)}this.setOptions(options)}DataSet.prototype.setOptions=function(options){if(options&&options.queue!==undefined){if(options.queue===false){if(this._queue){this._queue.destroy();delete this._queue}}else{if(!this._queue){this._queue=Queue.extend(this,{replace:[\"add\",\"update\",\"remove\"]})}if((0,_typeof3[\"default\"])(options.queue)===\"object\"){this._queue.setOptions(options.queue)}}}};DataSet.prototype.on=function(event,callback){var subscribers=this._subscribers[event];if(!subscribers){subscribers=[];this._subscribers[event]=subscribers}subscribers.push({callback:callback})};DataSet.prototype.off=function(event,callback){var subscribers=this._subscribers[event];if(subscribers){this._subscribers[event]=subscribers.filter(function(listener){return listener.callback!=callback})}};DataSet.prototype._trigger=function(event,params,senderId){if(event==\"*\"){throw new Error(\"Cannot trigger event *\")}var subscribers=[];if(event in this._subscribers){subscribers=subscribers.concat(this._subscribers[event])}if(\"*\"in this._subscribers){subscribers=subscribers.concat(this._subscribers[\"*\"])}for(var i=0,len=subscribers.length;i<len;i++){var subscriber=subscribers[i];if(subscriber.callback){subscriber.callback(event,params,senderId||null)}}};DataSet.prototype.add=function(data,senderId){var addedIds=[],id,me=this;if(Array.isArray(data)){for(var i=0,len=data.length;i<len;i++){id=me._addItem(data[i]);addedIds.push(id)}}else if(data&&(typeof data===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(data))===\"object\"){id=me._addItem(data);addedIds.push(id)}else{throw new Error(\"Unknown dataType\")}if(addedIds.length){this._trigger(\"add\",{items:addedIds},senderId)}return addedIds};DataSet.prototype.update=function(data,senderId){var addedIds=[];var updatedIds=[];var oldData=[];var updatedData=[];var me=this;var fieldId=me._fieldId;var addOrUpdate=function addOrUpdate(item){var id=item[fieldId];if(me._data[id]){var oldItem=util.extend({},me._data[id]);id=me._updateItem(item);updatedIds.push(id);updatedData.push(item);oldData.push(oldItem)}else{id=me._addItem(item);addedIds.push(id)}};if(Array.isArray(data)){for(var i=0,len=data.length;i<len;i++){if(data[i]&&(0,_typeof3[\"default\"])(data[i])===\"object\"){addOrUpdate(data[i])}else{console.warn(\"Ignoring input item, which is not an object at index \"+i)}}}else if(data&&(typeof data===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(data))===\"object\"){addOrUpdate(data)}else{throw new Error(\"Unknown dataType\")}if(addedIds.length){this._trigger(\"add\",{items:addedIds},senderId)}if(updatedIds.length){var props={items:updatedIds,oldData:oldData,data:updatedData};this._trigger(\"update\",props,senderId)}return addedIds.concat(updatedIds)};DataSet.prototype.get=function(args){var me=this;var id,ids,options;var firstType=util.getType(arguments[0]);if(firstType==\"String\"||firstType==\"Number\"){id=arguments[0];options=arguments[1]}else if(firstType==\"Array\"){\nids=arguments[0];options=arguments[1]}else{options=arguments[0]}var returnType;if(options&&options.returnType){var allowedValues=[\"Array\",\"Object\"];returnType=allowedValues.indexOf(options.returnType)==-1?\"Array\":options.returnType}else{returnType=\"Array\"}var type=options&&options.type||this._options.type;var filter=options&&options.filter;var items=[],item,itemIds,itemId,i,len;if(id!=undefined){item=me._getItem(id,type);if(item&&filter&&!filter(item)){item=null}}else if(ids!=undefined){for(i=0,len=ids.length;i<len;i++){item=me._getItem(ids[i],type);if(!filter||filter(item)){items.push(item)}}}else{itemIds=(0,_keys2[\"default\"])(this._data);for(i=0,len=itemIds.length;i<len;i++){itemId=itemIds[i];item=me._getItem(itemId,type);if(!filter||filter(item)){items.push(item)}}}if(options&&options.order&&id==undefined){this._sort(items,options.order)}if(options&&options.fields){var fields=options.fields;if(id!=undefined){item=this._filterFields(item,fields)}else{for(i=0,len=items.length;i<len;i++){items[i]=this._filterFields(items[i],fields)}}}if(returnType==\"Object\"){var result={},resultant;for(i=0,len=items.length;i<len;i++){resultant=items[i];result[resultant.id]=resultant}return result}else{if(id!=undefined){return item}else{return items}}};DataSet.prototype.getIds=function(options){var data=this._data,filter=options&&options.filter,order=options&&options.order,type=options&&options.type||this._options.type,itemIds=(0,_keys2[\"default\"])(data),i,len,id,item,items,ids=[];if(filter){if(order){items=[];for(i=0,len=itemIds.length;i<len;i++){id=itemIds[i];item=this._getItem(id,type);if(filter(item)){items.push(item)}}this._sort(items,order);for(i=0,len=items.length;i<len;i++){ids.push(items[i][this._fieldId])}}else{for(i=0,len=itemIds.length;i<len;i++){id=itemIds[i];item=this._getItem(id,type);if(filter(item)){ids.push(item[this._fieldId])}}}}else{if(order){items=[];for(i=0,len=itemIds.length;i<len;i++){id=itemIds[i];items.push(data[id])}this._sort(items,order);for(i=0,len=items.length;i<len;i++){ids.push(items[i][this._fieldId])}}else{for(i=0,len=itemIds.length;i<len;i++){id=itemIds[i];item=data[id];ids.push(item[this._fieldId])}}}return ids};DataSet.prototype.getDataSet=function(){return this};DataSet.prototype.forEach=function(callback,options){var filter=options&&options.filter,type=options&&options.type||this._options.type,data=this._data,itemIds=(0,_keys2[\"default\"])(data),i,len,item,id;if(options&&options.order){var items=this.get(options);for(i=0,len=items.length;i<len;i++){item=items[i];id=item[this._fieldId];callback(item,id)}}else{for(i=0,len=itemIds.length;i<len;i++){id=itemIds[i];item=this._getItem(id,type);if(!filter||filter(item)){callback(item,id)}}}};DataSet.prototype.map=function(callback,options){var filter=options&&options.filter,type=options&&options.type||this._options.type,mappedItems=[],data=this._data,itemIds=(0,_keys2[\"default\"])(data),i,len,id,item;for(i=0,len=itemIds.length;i<len;i++){id=itemIds[i];item=this._getItem(id,type);if(!filter||filter(item)){mappedItems.push(callback(item,id))}}if(options&&options.order){this._sort(mappedItems,options.order)}return mappedItems};DataSet.prototype._filterFields=function(item,fields){if(!item){return item}var filteredItem={},itemFields=(0,_keys2[\"default\"])(item),len=itemFields.length,i,field;if(Array.isArray(fields)){for(i=0;i<len;i++){field=itemFields[i];if(fields.indexOf(field)!=-1){filteredItem[field]=item[field]}}}else{for(i=0;i<len;i++){field=itemFields[i];if(fields.hasOwnProperty(field)){filteredItem[fields[field]]=item[field]}}}return filteredItem};DataSet.prototype._sort=function(items,order){if(util.isString(order)){var name=order;items.sort(function(a,b){var av=a[name];var bv=b[name];return av>bv?1:av<bv?-1:0})}else if(typeof order===\"function\"){items.sort(order)}else{throw new TypeError(\"Order must be a function or a string\")}};DataSet.prototype.remove=function(id,senderId){var removedIds=[],removedItems=[],ids=[],i,len,itemId,item;ids=Array.isArray(id)?id:[id];for(i=0,len=ids.length;i<len;i++){item=this._remove(ids[i]);if(item){itemId=item[this._fieldId];if(itemId!=undefined){removedIds.push(itemId);removedItems.push(item)}}}if(removedIds.length){this._trigger(\"remove\",{items:removedIds,oldData:removedItems},senderId)}return removedIds};DataSet.prototype._remove=function(id){var item,ident;if(util.isNumber(id)||util.isString(id)){ident=id}else if(id&&(typeof id===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(id))===\"object\"){ident=id[this._fieldId]}if(ident!==undefined&&this._data[ident]){item=this._data[ident];delete this._data[ident];this.length--;return item}return null};DataSet.prototype.clear=function(senderId){var i,len;var ids=(0,_keys2[\"default\"])(this._data);var items=[];for(i=0,len=ids.length;i<len;i++){items.push(this._data[ids[i]])}this._data={};this.length=0;this._trigger(\"remove\",{items:ids,oldData:items},senderId);return ids};DataSet.prototype.max=function(field){var data=this._data,itemIds=(0,_keys2[\"default\"])(data),max=null,maxField=null,i,len;for(i=0,len=itemIds.length;i<len;i++){var id=itemIds[i];var item=data[id];var itemField=item[field];if(itemField!=null&&(!max||itemField>maxField)){max=item;maxField=itemField}}return max};DataSet.prototype.min=function(field){var data=this._data,itemIds=(0,_keys2[\"default\"])(data),min=null,minField=null,i,len;for(i=0,len=itemIds.length;i<len;i++){var id=itemIds[i];var item=data[id];var itemField=item[field];if(itemField!=null&&(!min||itemField<minField)){min=item;minField=itemField}}return min};DataSet.prototype.distinct=function(field){var data=this._data;var itemIds=(0,_keys2[\"default\"])(data);var values=[];var fieldType=this._options.type&&this._options.type[field]||null;var count=0;var i,j,len;for(i=0,len=itemIds.length;i<len;i++){var id=itemIds[i];var item=data[id];var value=item[field];var exists=false;for(j=0;j<count;j++){if(values[j]==value){exists=true;break}}if(!exists&&value!==undefined){values[count]=value;count++}}if(fieldType){for(i=0,len=values.length;i<len;i++){values[i]=util.convert(values[i],fieldType)}}return values};DataSet.prototype._addItem=function(item){var id=item[this._fieldId];if(id!=undefined){if(this._data[id]){throw new Error(\"Cannot add item: item with id \"+id+\" already exists\")}}else{id=util.randomUUID();item[this._fieldId]=id}var d={},fields=(0,_keys2[\"default\"])(item),i,len;for(i=0,len=fields.length;i<len;i++){var field=fields[i];var fieldType=this._type[field];d[field]=util.convert(item[field],fieldType)}this._data[id]=d;this.length++;return id};DataSet.prototype._getItem=function(id,types){var field,value,i,len;var raw=this._data[id];if(!raw){return null}var converted={},fields=(0,_keys2[\"default\"])(raw);if(types){for(i=0,len=fields.length;i<len;i++){field=fields[i];value=raw[field];converted[field]=util.convert(value,types[field])}}else{for(i=0,len=fields.length;i<len;i++){field=fields[i];value=raw[field];converted[field]=value}}if(!converted[this._fieldId]){converted[this._fieldId]=raw.id}return converted};DataSet.prototype._updateItem=function(item){var id=item[this._fieldId];if(id==undefined){throw new Error(\"Cannot update item: item has no id (item: \"+(0,_stringify2[\"default\"])(item)+\")\")}var d=this._data[id];if(!d){throw new Error(\"Cannot update item: no item with id \"+id+\" found\")}var fields=(0,_keys2[\"default\"])(item);for(var i=0,len=fields.length;i<len;i++){var field=fields[i];var fieldType=this._type[field];d[field]=util.convert(item[field],fieldType)}return id};module.exports=DataSet},function(module,exports,__webpack_require__){\"use strict\";var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var DataSet=__webpack_require__(11);function DataView(data,options){this._data=null;this._ids={};this.length=0;this._options=options||{};this._fieldId=\"id\";this._subscribers={};var me=this;this.listener=function(){me._onEvent.apply(me,arguments)};this.setData(data)}DataView.prototype.setData=function(data){var ids,id,i,len,items;if(this._data){if(this._data.off){this._data.off(\"*\",this.listener)}ids=this._data.getIds({filter:this._options&&this._options.filter});items=[];for(i=0,len=ids.length;i<len;i++){items.push(this._data._data[ids[i]])}this._ids={};this.length=0;this._trigger(\"remove\",{items:ids,oldData:items})}this._data=data;if(this._data){this._fieldId=this._options.fieldId||this._data&&this._data.options&&this._data.options.fieldId||\"id\";ids=this._data.getIds({filter:this._options&&this._options.filter});for(i=0,len=ids.length;i<len;i++){id=ids[i];this._ids[id]=true}this.length=ids.length;this._trigger(\"add\",{items:ids});if(this._data.on){this._data.on(\"*\",this.listener)}}};DataView.prototype.refresh=function(){var id,i,len;var ids=this._data.getIds({filter:this._options&&this._options.filter}),oldIds=(0,_keys2[\"default\"])(this._ids),newIds={},addedIds=[],removedIds=[],removedItems=[];for(i=0,len=ids.length;i<len;i++){id=ids[i];newIds[id]=true;if(!this._ids[id]){addedIds.push(id);this._ids[id]=true}}for(i=0,len=oldIds.length;i<len;i++){id=oldIds[i];if(!newIds[id]){removedIds.push(id);removedItems.push(this._data._data[id]);delete this._ids[id]}}this.length+=addedIds.length-removedIds.length;if(addedIds.length){this._trigger(\"add\",{items:addedIds})}if(removedIds.length){this._trigger(\"remove\",{items:removedIds,oldData:removedItems})}};DataView.prototype.get=function(args){var me=this;var ids,options,data;var firstType=util.getType(arguments[0]);if(firstType==\"String\"||firstType==\"Number\"||firstType==\"Array\"){ids=arguments[0];options=arguments[1];data=arguments[2]}else{options=arguments[0];data=arguments[1]}var viewOptions=util.extend({},this._options,options);if(this._options.filter&&options&&options.filter){viewOptions.filter=function(item){return me._options.filter(item)&&options.filter(item)}}var getArguments=[];if(ids!=undefined){getArguments.push(ids)}getArguments.push(viewOptions);getArguments.push(data);return this._data&&this._data.get.apply(this._data,getArguments)};DataView.prototype.getIds=function(options){var ids;if(this._data){var defaultFilter=this._options.filter;var filter;if(options&&options.filter){if(defaultFilter){filter=function filter(item){return defaultFilter(item)&&options.filter(item)}}else{filter=options.filter}}else{filter=defaultFilter}ids=this._data.getIds({filter:filter,order:options&&options.order})}else{ids=[]}return ids};DataView.prototype.map=function(callback,options){var mappedItems=[];if(this._data){var defaultFilter=this._options.filter;var filter;if(options&&options.filter){if(defaultFilter){filter=function filter(item){return defaultFilter(item)&&options.filter(item)}}else{filter=options.filter}}else{filter=defaultFilter}mappedItems=this._data.map(callback,{filter:filter,order:options&&options.order})}else{mappedItems=[]}return mappedItems};DataView.prototype.getDataSet=function(){var dataSet=this;while(dataSet instanceof DataView){dataSet=dataSet._data}return dataSet||null};DataView.prototype._onEvent=function(event,params,senderId){var i,len,id,item;var ids=params&&params.items;var addedIds=[],updatedIds=[],removedIds=[],oldItems=[],updatedItems=[],removedItems=[];if(ids&&this._data){switch(event){case\"add\":for(i=0,len=ids.length;i<len;i++){id=ids[i];item=this.get(id);if(item){this._ids[id]=true;addedIds.push(id)}}break;case\"update\":for(i=0,len=ids.length;i<len;i++){id=ids[i];item=this.get(id);if(item){if(this._ids[id]){updatedIds.push(id);updatedItems.push(params.data[i]);oldItems.push(params.oldData[i])}else{this._ids[id]=true;addedIds.push(id)}}else{if(this._ids[id]){delete this._ids[id];removedIds.push(id);removedItems.push(params.oldData[i])}else{}}}break;case\"remove\":for(i=0,len=ids.length;i<len;i++){id=ids[i];if(this._ids[id]){delete this._ids[id];removedIds.push(id);removedItems.push(params.oldData[i])}}break}this.length+=addedIds.length-removedIds.length;if(addedIds.length){this._trigger(\"add\",{items:addedIds},senderId)}if(updatedIds.length){this._trigger(\"update\",{items:updatedIds,oldData:oldItems,data:updatedItems},senderId)}if(removedIds.length){this._trigger(\"remove\",{items:removedIds,oldData:removedItems},senderId)}}};DataView.prototype.on=DataSet.prototype.on;DataView.prototype.off=DataSet.prototype.off;DataView.prototype._trigger=DataSet.prototype._trigger;DataView.prototype.subscribe=DataView.prototype.on;DataView.prototype.unsubscribe=DataView.prototype.off;module.exports=DataView},function(module,exports,__webpack_require__){var store=__webpack_require__(57)(\"wks\");var uid=__webpack_require__(40);var Symbol=__webpack_require__(18).Symbol;var USE_SYMBOL=typeof Symbol==\"function\";var $exports=module.exports=function(name){return store[name]||(store[name]=USE_SYMBOL&&Symbol[name]||(USE_SYMBOL?Symbol:uid)(\"Symbol.\"+name))};$exports.store=store},function(module,exports,__webpack_require__){\"use strict\";exports.prepareElements=function(JSONcontainer){for(var elementType in JSONcontainer){if(JSONcontainer.hasOwnProperty(elementType)){JSONcontainer[elementType].redundant=JSONcontainer[elementType].used;JSONcontainer[elementType].used=[]}}};exports.cleanupElements=function(JSONcontainer){for(var elementType in JSONcontainer){if(JSONcontainer.hasOwnProperty(elementType)){if(JSONcontainer[elementType].redundant){for(var i=0;i<JSONcontainer[elementType].redundant.length;i++){JSONcontainer[elementType].redundant[i].parentNode.removeChild(JSONcontainer[elementType].redundant[i])}JSONcontainer[elementType].redundant=[]}}}};exports.resetElements=function(JSONcontainer){exports.prepareElements(JSONcontainer);exports.cleanupElements(JSONcontainer);exports.prepareElements(JSONcontainer)};exports.getSVGElement=function(elementType,JSONcontainer,svgContainer){var element;if(JSONcontainer.hasOwnProperty(elementType)){if(JSONcontainer[elementType].redundant.length>0){element=JSONcontainer[elementType].redundant[0];JSONcontainer[elementType].redundant.shift()}else{element=document.createElementNS(\"http://www.w3.org/2000/svg\",elementType);svgContainer.appendChild(element)}}else{element=document.createElementNS(\"http://www.w3.org/2000/svg\",elementType);JSONcontainer[elementType]={used:[],redundant:[]};svgContainer.appendChild(element)}JSONcontainer[elementType].used.push(element);return element};exports.getDOMElement=function(elementType,JSONcontainer,DOMContainer,insertBefore){var element;if(JSONcontainer.hasOwnProperty(elementType)){if(JSONcontainer[elementType].redundant.length>0){element=JSONcontainer[elementType].redundant[0];JSONcontainer[elementType].redundant.shift()}else{element=document.createElement(elementType);if(insertBefore!==undefined){DOMContainer.insertBefore(element,insertBefore)}else{DOMContainer.appendChild(element)}}}else{element=document.createElement(elementType);JSONcontainer[elementType]={used:[],redundant:[]};if(insertBefore!==undefined){DOMContainer.insertBefore(element,insertBefore)}else{DOMContainer.appendChild(element)}}JSONcontainer[elementType].used.push(element);return element};exports.drawPoint=function(x,y,groupTemplate,JSONcontainer,svgContainer,labelObj){var point;if(groupTemplate.style==\"circle\"){point=exports.getSVGElement(\"circle\",JSONcontainer,svgContainer);point.setAttributeNS(null,\"cx\",x);point.setAttributeNS(null,\"cy\",y);point.setAttributeNS(null,\"r\",.5*groupTemplate.size)}else{point=exports.getSVGElement(\"rect\",JSONcontainer,svgContainer);point.setAttributeNS(null,\"x\",x-.5*groupTemplate.size);point.setAttributeNS(null,\"y\",y-.5*groupTemplate.size);point.setAttributeNS(null,\"width\",groupTemplate.size);point.setAttributeNS(null,\"height\",groupTemplate.size)}if(groupTemplate.styles!==undefined){point.setAttributeNS(null,\"style\",groupTemplate.styles)}point.setAttributeNS(null,\"class\",groupTemplate.className+\" vis-point\");if(labelObj){var label=exports.getSVGElement(\"text\",JSONcontainer,svgContainer);if(labelObj.xOffset){x=x+labelObj.xOffset}if(labelObj.yOffset){y=y+labelObj.yOffset}if(labelObj.content){label.textContent=labelObj.content}if(labelObj.className){label.setAttributeNS(null,\"class\",labelObj.className+\" vis-label\")}label.setAttributeNS(null,\"x\",x);label.setAttributeNS(null,\"y\",y)}return point};exports.drawBar=function(x,y,width,height,className,JSONcontainer,svgContainer,style){if(height!=0){if(height<0){height*=-1;y-=height}var rect=exports.getSVGElement(\"rect\",JSONcontainer,svgContainer);rect.setAttributeNS(null,\"x\",x-.5*width);rect.setAttributeNS(null,\"y\",y);rect.setAttributeNS(null,\"width\",width);rect.setAttributeNS(null,\"height\",height);rect.setAttributeNS(null,\"class\",className);if(style){rect.setAttributeNS(null,\"style\",style)}}}},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.printStyle=undefined;var _stringify=__webpack_require__(19);var _stringify2=_interopRequireDefault(_stringify);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var errorFound=false;var allOptions=void 0;var printStyle=\"background: #FFeeee; color: #dd0000\";var Validator=function(){function Validator(){(0,_classCallCheck3[\"default\"])(this,Validator)}(0,_createClass3[\"default\"])(Validator,null,[{key:\"validate\",value:function validate(options,referenceOptions,subObject){errorFound=false;allOptions=referenceOptions;var usedOptions=referenceOptions;if(subObject!==undefined){usedOptions=referenceOptions[subObject]}Validator.parse(options,usedOptions,[]);return errorFound}},{key:\"parse\",value:function parse(options,referenceOptions,path){for(var option in options){if(options.hasOwnProperty(option)){Validator.check(option,options,referenceOptions,path)}}}},{key:\"check\",value:function check(option,options,referenceOptions,path){if(referenceOptions[option]===undefined&&referenceOptions.__any__===undefined){Validator.getSuggestion(option,referenceOptions,path);return}var referenceOption=option;var is_object=true;if(referenceOptions[option]===undefined&&referenceOptions.__any__!==undefined){referenceOption=\"__any__\";is_object=Validator.getType(options[option])===\"object\"}else{}var refOptionObj=referenceOptions[referenceOption];if(is_object&&refOptionObj.__type__!==undefined){refOptionObj=refOptionObj.__type__}Validator.checkFields(option,options,referenceOptions,referenceOption,refOptionObj,path)}},{key:\"checkFields\",value:function checkFields(option,options,referenceOptions,referenceOption,refOptionObj,path){var log=function log(message){console.log(\"%c\"+message+Validator.printLocation(path,option),printStyle)};var optionType=Validator.getType(options[option]);var refOptionType=refOptionObj[optionType];if(refOptionType!==undefined){if(Validator.getType(refOptionType)===\"array\"&&refOptionType.indexOf(options[option])===-1){log('Invalid option detected in \"'+option+'\".'+\" Allowed values are:\"+Validator.print(refOptionType)+' not \"'+options[option]+'\". ');errorFound=true}else if(optionType===\"object\"&&referenceOption!==\"__any__\"){path=util.copyAndExtendArray(path,option);Validator.parse(options[option],referenceOptions[referenceOption],path)}}else if(refOptionObj[\"any\"]===undefined){log('Invalid type received for \"'+option+'\". Expected: '+Validator.print((0,_keys2[\"default\"])(refOptionObj))+\". Received [\"+optionType+'] \"'+options[option]+'\"');errorFound=true}}},{key:\"getType\",value:function getType(object){var type=typeof object===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(object);if(type===\"object\"){if(object===null){return\"null\"}if(object instanceof Boolean){return\"boolean\"}if(object instanceof Number){return\"number\"}if(object instanceof String){return\"string\"}if(Array.isArray(object)){return\"array\"}if(object instanceof Date){return\"date\"}if(object.nodeType!==undefined){return\"dom\"}if(object._isAMomentObject===true){return\"moment\"}return\"object\"}else if(type===\"number\"){return\"number\"}else if(type===\"boolean\"){return\"boolean\"}else if(type===\"string\"){return\"string\"}else if(type===undefined){return\"undefined\"}return type}},{key:\"getSuggestion\",value:function getSuggestion(option,options,path){var localSearch=Validator.findInOptions(option,options,path,false);var globalSearch=Validator.findInOptions(option,allOptions,[],true);var localSearchThreshold=8;var globalSearchThreshold=4;var msg=void 0;if(localSearch.indexMatch!==undefined){msg=\" in \"+Validator.printLocation(localSearch.path,option,\"\")+'Perhaps it was incomplete? Did you mean: \"'+localSearch.indexMatch+'\"?\\n\\n'}else if(globalSearch.distance<=globalSearchThreshold&&localSearch.distance>globalSearch.distance){msg=\" in \"+Validator.printLocation(localSearch.path,option,\"\")+\"Perhaps it was misplaced? Matching option found at: \"+Validator.printLocation(globalSearch.path,globalSearch.closestMatch,\"\")}else if(localSearch.distance<=localSearchThreshold){msg='. Did you mean \"'+localSearch.closestMatch+'\"?'+Validator.printLocation(localSearch.path,option)}else{msg=\". Did you mean one of these: \"+Validator.print((0,_keys2[\"default\"])(options))+Validator.printLocation(path,option)}console.log('%cUnknown option detected: \"'+option+'\"'+msg,printStyle);errorFound=true}},{key:\"findInOptions\",value:function findInOptions(option,options,path){var recursive=arguments.length>3&&arguments[3]!==undefined?arguments[3]:false;var min=1e9;var closestMatch=\"\";var closestMatchPath=[];var lowerCaseOption=option.toLowerCase();var indexMatch=undefined;for(var op in options){var distance=void 0;if(options[op].__type__!==undefined&&recursive===true){var result=Validator.findInOptions(option,options[op],util.copyAndExtendArray(path,op));if(min>result.distance){closestMatch=result.closestMatch;closestMatchPath=result.path;min=result.distance;indexMatch=result.indexMatch}}else{if(op.toLowerCase().indexOf(lowerCaseOption)!==-1){indexMatch=op}distance=Validator.levenshteinDistance(option,op);if(min>distance){closestMatch=op;closestMatchPath=util.copyArray(path);min=distance}}}return{closestMatch:closestMatch,path:closestMatchPath,distance:min,indexMatch:indexMatch}}},{key:\"printLocation\",value:function printLocation(path,option){var prefix=arguments.length>2&&arguments[2]!==undefined?arguments[2]:\"Problem value found at: \\n\";var str=\"\\n\\n\"+prefix+\"options = {\\n\";for(var i=0;i<path.length;i++){for(var j=0;j<i+1;j++){str+=\"  \"}str+=path[i]+\": {\\n\"}for(var _j=0;_j<path.length+1;_j++){str+=\"  \"}str+=option+\"\\n\";for(var _i=0;_i<path.length+1;_i++){for(var _j2=0;_j2<path.length-_i;_j2++){str+=\"  \"}str+=\"}\\n\"}return str+\"\\n\\n\"}},{key:\"print\",value:function print(options){return(0,_stringify2[\"default\"])(options).replace(/(\\\")|(\\[)|(\\])|(,\"__type__\")/g,\"\").replace(/(\\,)/g,\", \")}},{key:\"levenshteinDistance\",value:function levenshteinDistance(a,b){if(a.length===0)return b.length;if(b.length===0)return a.length;var matrix=[];var i;for(i=0;i<=b.length;i++){matrix[i]=[i]}var j;for(j=0;j<=a.length;j++){matrix[0][j]=j}for(i=1;i<=b.length;i++){for(j=1;j<=a.length;j++){if(b.charAt(i-1)==a.charAt(j-1)){matrix[i][j]=matrix[i-1][j-1]}else{matrix[i][j]=Math.min(matrix[i-1][j-1]+1,Math.min(matrix[i][j-1]+1,matrix[i-1][j]+1))}}}return matrix[b.length][a.length]}}]);return Validator}();exports[\"default\"]=Validator;exports.printStyle=printStyle},function(module,exports,__webpack_require__){\"use strict\";var util=__webpack_require__(2);function Component(body,options){this.options=null;this.props=null}Component.prototype.setOptions=function(options){if(options){util.extend(this.options,options)}};Component.prototype.redraw=function(){return false};Component.prototype.destroy=function(){};Component.prototype._isResized=function(){var resized=this.props._previousWidth!==this.props.width||this.props._previousHeight!==this.props.height;this.props._previousWidth=this.props.width;this.props._previousHeight=this.props.height;return resized};module.exports=Component},function(module,exports,__webpack_require__){var global=__webpack_require__(18);var core=__webpack_require__(7);var ctx=__webpack_require__(80);var hide=__webpack_require__(26);var PROTOTYPE=\"prototype\";var $export=function(type,name,source){var IS_FORCED=type&$export.F;var IS_GLOBAL=type&$export.G;var IS_STATIC=type&$export.S;var IS_PROTO=type&$export.P;var IS_BIND=type&$export.B;var IS_WRAP=type&$export.W;var exports=IS_GLOBAL?core:core[name]||(core[name]={});var expProto=exports[PROTOTYPE];var target=IS_GLOBAL?global:IS_STATIC?global[name]:(global[name]||{})[PROTOTYPE];var key,own,out;if(IS_GLOBAL)source=name;for(key in source){own=!IS_FORCED&&target&&target[key]!==undefined;if(own&&key in exports)continue;out=own?target[key]:source[key];exports[key]=IS_GLOBAL&&typeof target[key]!=\"function\"?source[key]:IS_BIND&&own?ctx(out,global):IS_WRAP&&target[key]==out?function(C){var F=function(a,b,c){if(this instanceof C){switch(arguments.length){case 0:return new C;case 1:return new C(a);case 2:return new C(a,b)}return new C(a,b,c)}return C.apply(this,arguments)};F[PROTOTYPE]=C[PROTOTYPE];return F}(out):IS_PROTO&&typeof out==\"function\"?ctx(Function.call,out):out;if(IS_PROTO){(exports.virtual||(exports.virtual={}))[key]=out;if(type&$export.R&&expProto&&!expProto[key])hide(expProto,key,out)}}};$export.F=1;$export.G=2;$export.S=4;$export.P=8;$export.B=16;$export.W=32;$export.U=64;$export.R=128;module.exports=$export},function(module,exports){var global=module.exports=typeof window!=\"undefined\"&&window.Math==Math?window:typeof self!=\"undefined\"&&self.Math==Math?self:Function(\"return this\")();if(typeof __g==\"number\")__g=global},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(160),__esModule:true}},function(module,exports,__webpack_require__){var anObject=__webpack_require__(27);var IE8_DOM_DEFINE=__webpack_require__(81);var toPrimitive=__webpack_require__(53);var dP=Object.defineProperty;exports.f=__webpack_require__(21)?Object.defineProperty:function defineProperty(O,P,Attributes){anObject(O);P=toPrimitive(P,true);anObject(Attributes);if(IE8_DOM_DEFINE)try{return dP(O,P,Attributes)}catch(e){}if(\"get\"in Attributes||\"set\"in Attributes)throw TypeError(\"Accessors not supported!\");if(\"value\"in Attributes)O[P]=Attributes.value;return O}},function(module,exports,__webpack_require__){module.exports=!__webpack_require__(28)(function(){return Object.defineProperty({},\"a\",{get:function(){return 7}}).a!=7})},function(module,exports){var hasOwnProperty={}.hasOwnProperty;module.exports=function(it,key){return hasOwnProperty.call(it,key)}},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var NodeBase=function(){function NodeBase(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,NodeBase);this.body=body;this.labelModule=labelModule;this.setOptions(options);this.top=undefined;this.left=undefined;this.height=undefined;this.width=undefined;this.radius=undefined;this.margin=undefined;this.refreshNeeded=true;this.boundingBox={top:0,left:0,right:0,bottom:0}}(0,_createClass3[\"default\"])(NodeBase,[{key:\"setOptions\",value:function setOptions(options){this.options=options}},{key:\"_setMargins\",value:function _setMargins(labelModule){this.margin={};if(this.options.margin){if((0,_typeof3[\"default\"])(this.options.margin)==\"object\"){this.margin.top=this.options.margin.top;this.margin.right=this.options.margin.right;this.margin.bottom=this.options.margin.bottom;this.margin.left=this.options.margin.left}else{this.margin.top=this.options.margin;this.margin.right=this.options.margin;this.margin.bottom=this.options.margin;this.margin.left=this.options.margin}}labelModule.adjustSizes(this.margin)}},{key:\"_distanceToBorder\",value:function _distanceToBorder(ctx,angle){var borderWidth=this.options.borderWidth;this.resize(ctx);return Math.min(Math.abs(this.width/2/Math.cos(angle)),Math.abs(this.height/2/Math.sin(angle)))+borderWidth}},{key:\"enableShadow\",value:function enableShadow(ctx,values){if(values.shadow){ctx.shadowColor=values.shadowColor;ctx.shadowBlur=values.shadowSize;ctx.shadowOffsetX=values.shadowX;ctx.shadowOffsetY=values.shadowY}}},{key:\"disableShadow\",value:function disableShadow(ctx,values){if(values.shadow){ctx.shadowColor=\"rgba(0,0,0,0)\";ctx.shadowBlur=0;ctx.shadowOffsetX=0;ctx.shadowOffsetY=0}}},{key:\"enableBorderDashes\",value:function enableBorderDashes(ctx,values){if(values.borderDashes!==false){if(ctx.setLineDash!==undefined){var dashes=values.borderDashes;if(dashes===true){dashes=[5,15]}ctx.setLineDash(dashes)}else{console.warn(\"setLineDash is not supported in this browser. The dashed borders cannot be used.\");this.options.shapeProperties.borderDashes=false;values.borderDashes=false}}}},{key:\"disableBorderDashes\",value:function disableBorderDashes(ctx,values){if(values.borderDashes!==false){if(ctx.setLineDash!==undefined){ctx.setLineDash([0])}else{console.warn(\"setLineDash is not supported in this browser. The dashed borders cannot be used.\");this.options.shapeProperties.borderDashes=false;values.borderDashes=false}}}},{key:\"needsRefresh\",value:function needsRefresh(selected,hover){if(this.refreshNeeded===true){this.refreshNeeded=false;return true}return this.width===undefined||this.labelModule.differentState(selected,hover)}},{key:\"initContextForDraw\",value:function initContextForDraw(ctx,values){var borderWidth=values.borderWidth/this.body.view.scale;ctx.lineWidth=Math.min(this.width,borderWidth);ctx.strokeStyle=values.borderColor;ctx.fillStyle=values.color}},{key:\"performStroke\",value:function performStroke(ctx,values){var borderWidth=values.borderWidth/this.body.view.scale;ctx.save();if(borderWidth>0){this.enableBorderDashes(ctx,values);ctx.stroke();this.disableBorderDashes(ctx,values)}ctx.restore()}},{key:\"performFill\",value:function performFill(ctx,values){this.enableShadow(ctx,values);ctx.fill();this.disableShadow(ctx,values);this.performStroke(ctx,values)}},{key:\"_addBoundingBoxMargin\",value:function _addBoundingBoxMargin(margin){this.boundingBox.left-=margin;this.boundingBox.top-=margin;this.boundingBox.bottom+=margin;this.boundingBox.right+=margin}},{key:\"_updateBoundingBox\",value:function _updateBoundingBox(x,y,ctx,selected,hover){if(ctx!==undefined){this.resize(ctx,selected,hover)}this.left=x-this.width/2;this.top=y-this.height/2;this.boundingBox.left=this.left;this.boundingBox.top=this.top;this.boundingBox.bottom=this.top+this.height;this.boundingBox.right=this.left+this.width}},{key:\"updateBoundingBox\",value:function updateBoundingBox(x,y,ctx,selected,hover){this._updateBoundingBox(x,y,ctx,selected,hover)}},{key:\"getDimensionsFromLabel\",value:function getDimensionsFromLabel(ctx,selected,hover){this.textSize=this.labelModule.getTextSize(ctx,selected,hover);var width=this.textSize.width;var height=this.textSize.height;var DEFAULT_SIZE=14;if(width===0){width=DEFAULT_SIZE;height=DEFAULT_SIZE}return{width:width,height:height}}}]);return NodeBase}();exports[\"default\"]=NodeBase},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2)\n;var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _NodeBase2=__webpack_require__(23);var _NodeBase3=_interopRequireDefault(_NodeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var ShapeBase=function(_NodeBase){(0,_inherits3[\"default\"])(ShapeBase,_NodeBase);function ShapeBase(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,ShapeBase);return(0,_possibleConstructorReturn3[\"default\"])(this,(ShapeBase.__proto__||(0,_getPrototypeOf2[\"default\"])(ShapeBase)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(ShapeBase,[{key:\"resize\",value:function resize(ctx){var selected=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.selected;var hover=arguments.length>2&&arguments[2]!==undefined?arguments[2]:this.hover;var values=arguments.length>3&&arguments[3]!==undefined?arguments[3]:{size:this.options.size};if(this.needsRefresh(selected,hover)){this.labelModule.getTextSize(ctx,selected,hover);var size=2*values.size;this.width=size;this.height=size;this.radius=.5*this.width}}},{key:\"_drawShape\",value:function _drawShape(ctx,shape,sizeMultiplier,x,y,selected,hover,values){this.resize(ctx,selected,hover,values);this.left=x-this.width/2;this.top=y-this.height/2;this.initContextForDraw(ctx,values);ctx[shape](x,y,values.size);this.performFill(ctx,values);if(this.options.label!==undefined){this.labelModule.calculateLabelSize(ctx,selected,hover,x,y,\"hanging\");var yLabel=y+.5*this.height+.5*this.labelModule.size.height;this.labelModule.draw(ctx,x,yLabel,selected,hover,\"hanging\")}this.updateBoundingBox(x,y)}},{key:\"updateBoundingBox\",value:function updateBoundingBox(x,y){this.boundingBox.top=y-this.options.size;this.boundingBox.left=x-this.options.size;this.boundingBox.right=x+this.options.size;this.boundingBox.bottom=y+this.options.size;if(this.options.label!==undefined&&this.labelModule.size.width>0){this.boundingBox.left=Math.min(this.boundingBox.left,this.labelModule.size.left);this.boundingBox.right=Math.max(this.boundingBox.right,this.labelModule.size.left+this.labelModule.size.width);this.boundingBox.bottom=Math.max(this.boundingBox.bottom,this.boundingBox.bottom+this.labelModule.size.height)}}}]);return ShapeBase}(_NodeBase3[\"default\"]);exports[\"default\"]=ShapeBase},function(module,exports,__webpack_require__){var IObject=__webpack_require__(78);var defined=__webpack_require__(51);module.exports=function(it){return IObject(defined(it))}},function(module,exports,__webpack_require__){var dP=__webpack_require__(20);var createDesc=__webpack_require__(39);module.exports=__webpack_require__(21)?function(object,key,value){return dP.f(object,key,createDesc(1,value))}:function(object,key,value){object[key]=value;return object}},function(module,exports,__webpack_require__){var isObject=__webpack_require__(32);module.exports=function(it){if(!isObject(it))throw TypeError(it+\" is not an object!\");return it}},function(module,exports){module.exports=function(exec){try{return!!exec()}catch(e){return true}}},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(138),__esModule:true}},function(module,exports,__webpack_require__){\"use strict\";exports.__esModule=true;var _isIterable2=__webpack_require__(188);var _isIterable3=_interopRequireDefault(_isIterable2);var _getIterator2=__webpack_require__(77);var _getIterator3=_interopRequireDefault(_getIterator2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}exports.default=function(){function sliceIterator(arr,i){var _arr=[];var _n=true;var _d=false;var _e=undefined;try{for(var _i=(0,_getIterator3.default)(arr),_s;!(_n=(_s=_i.next()).done);_n=true){_arr.push(_s.value);if(i&&_arr.length===i)break}}catch(err){_d=true;_e=err}finally{try{if(!_n&&_i[\"return\"])_i[\"return\"]()}finally{if(_d)throw _e}}return _arr}return function(arr,i){if(Array.isArray(arr)){return arr}else if((0,_isIterable3.default)(Object(arr))){return sliceIterator(arr,i)}else{throw new TypeError(\"Invalid attempt to destructure non-iterable instance\")}}}()},function(module,exports){module.exports={}},function(module,exports){module.exports=function(it){return typeof it===\"object\"?it!==null:typeof it===\"function\"}},function(module,exports,__webpack_require__){var $keys=__webpack_require__(84);var enumBugKeys=__webpack_require__(58);module.exports=Object.keys||function keys(O){return $keys(O,enumBugKeys)}},function(module,exports,__webpack_require__){\"use strict\";function Point3d(x,y,z){this.x=x!==undefined?x:0;this.y=y!==undefined?y:0;this.z=z!==undefined?z:0}Point3d.subtract=function(a,b){var sub=new Point3d;sub.x=a.x-b.x;sub.y=a.y-b.y;sub.z=a.z-b.z;return sub};Point3d.add=function(a,b){var sum=new Point3d;sum.x=a.x+b.x;sum.y=a.y+b.y;sum.z=a.z+b.z;return sum};Point3d.avg=function(a,b){return new Point3d((a.x+b.x)/2,(a.y+b.y)/2,(a.z+b.z)/2)};Point3d.crossProduct=function(a,b){var crossproduct=new Point3d;crossproduct.x=a.y*b.z-a.z*b.y;crossproduct.y=a.z*b.x-a.x*b.z;crossproduct.z=a.x*b.y-a.y*b.x;return crossproduct};Point3d.prototype.length=function(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z)};module.exports=Point3d},function(module,exports,__webpack_require__){\"use strict\";var __WEBPACK_AMD_DEFINE_FACTORY__,__WEBPACK_AMD_DEFINE_ARRAY__,__WEBPACK_AMD_DEFINE_RESULT__;(function(root,factory){if(true){!(__WEBPACK_AMD_DEFINE_ARRAY__=[],__WEBPACK_AMD_DEFINE_FACTORY__=factory,__WEBPACK_AMD_DEFINE_RESULT__=typeof __WEBPACK_AMD_DEFINE_FACTORY__===\"function\"?__WEBPACK_AMD_DEFINE_FACTORY__.apply(exports,__WEBPACK_AMD_DEFINE_ARRAY__):__WEBPACK_AMD_DEFINE_FACTORY__,__WEBPACK_AMD_DEFINE_RESULT__!==undefined&&(module.exports=__WEBPACK_AMD_DEFINE_RESULT__))}else if(typeof exports===\"object\"){module.exports=factory()}else{root.keycharm=factory()}})(this,function(){function keycharm(options){var preventDefault=options&&options.preventDefault||false;var container=options&&options.container||window;var _exportFunctions={};var _bound={keydown:{},keyup:{}};var _keys={};var i;for(i=97;i<=122;i++){_keys[String.fromCharCode(i)]={code:65+(i-97),shift:false}}for(i=65;i<=90;i++){_keys[String.fromCharCode(i)]={code:i,shift:true}}for(i=0;i<=9;i++){_keys[\"\"+i]={code:48+i,shift:false}}for(i=1;i<=12;i++){_keys[\"F\"+i]={code:111+i,shift:false}}for(i=0;i<=9;i++){_keys[\"num\"+i]={code:96+i,shift:false}}_keys[\"num*\"]={code:106,shift:false};_keys[\"num+\"]={code:107,shift:false};_keys[\"num-\"]={code:109,shift:false};_keys[\"num/\"]={code:111,shift:false};_keys[\"num.\"]={code:110,shift:false};_keys[\"left\"]={code:37,shift:false};_keys[\"up\"]={code:38,shift:false};_keys[\"right\"]={code:39,shift:false};_keys[\"down\"]={code:40,shift:false};_keys[\"space\"]={code:32,shift:false};_keys[\"enter\"]={code:13,shift:false};_keys[\"shift\"]={code:16,shift:undefined};_keys[\"esc\"]={code:27,shift:false};_keys[\"backspace\"]={code:8,shift:false};_keys[\"tab\"]={code:9,shift:false};_keys[\"ctrl\"]={code:17,shift:false};_keys[\"alt\"]={code:18,shift:false};_keys[\"delete\"]={code:46,shift:false};_keys[\"pageup\"]={code:33,shift:false};_keys[\"pagedown\"]={code:34,shift:false};_keys[\"=\"]={code:187,shift:false};_keys[\"-\"]={code:189,shift:false};_keys[\"]\"]={code:221,shift:false};_keys[\"[\"]={code:219,shift:false};var down=function(event){handleEvent(event,\"keydown\")};var up=function(event){handleEvent(event,\"keyup\")};var handleEvent=function(event,type){if(_bound[type][event.keyCode]!==undefined){var bound=_bound[type][event.keyCode];for(var i=0;i<bound.length;i++){if(bound[i].shift===undefined){bound[i].fn(event)}else if(bound[i].shift==true&&event.shiftKey==true){bound[i].fn(event)}else if(bound[i].shift==false&&event.shiftKey==false){bound[i].fn(event)}}if(preventDefault==true){event.preventDefault()}}};_exportFunctions.bind=function(key,callback,type){if(type===undefined){type=\"keydown\"}if(_keys[key]===undefined){throw new Error(\"unsupported key: \"+key)}if(_bound[type][_keys[key].code]===undefined){_bound[type][_keys[key].code]=[]}_bound[type][_keys[key].code].push({fn:callback,shift:_keys[key].shift})};_exportFunctions.bindAll=function(callback,type){if(type===undefined){type=\"keydown\"}for(var key in _keys){if(_keys.hasOwnProperty(key)){_exportFunctions.bind(key,callback,type)}}};_exportFunctions.getKey=function(event){for(var key in _keys){if(_keys.hasOwnProperty(key)){if(event.shiftKey==true&&_keys[key].shift==true&&event.keyCode==_keys[key].code){return key}else if(event.shiftKey==false&&_keys[key].shift==false&&event.keyCode==_keys[key].code){return key}else if(event.keyCode==_keys[key].code&&key==\"shift\"){return key}}}return\"unknown key, currently not supported\"};_exportFunctions.unbind=function(key,callback,type){if(type===undefined){type=\"keydown\"}if(_keys[key]===undefined){throw new Error(\"unsupported key: \"+key)}if(callback!==undefined){var newBindings=[];var bound=_bound[type][_keys[key].code];if(bound!==undefined){for(var i=0;i<bound.length;i++){if(!(bound[i].fn==callback&&bound[i].shift==_keys[key].shift)){newBindings.push(_bound[type][_keys[key].code][i])}}}_bound[type][_keys[key].code]=newBindings}else{_bound[type][_keys[key].code]=[]}};_exportFunctions.reset=function(){_bound={keydown:{},keyup:{}}};_exportFunctions.destroy=function(){_bound={keydown:{},keyup:{}};container.removeEventListener(\"keydown\",down,true);container.removeEventListener(\"keyup\",up,true)};container.addEventListener(\"keydown\",down,true);container.addEventListener(\"keyup\",up,true);return _exportFunctions}return keycharm})},function(module,exports,__webpack_require__){\"use strict\";exports.convertHiddenOptions=function(moment,body,hiddenDates){if(hiddenDates&&!Array.isArray(hiddenDates)){return exports.convertHiddenOptions(moment,body,[hiddenDates])}body.hiddenDates=[];if(hiddenDates){if(Array.isArray(hiddenDates)==true){for(var i=0;i<hiddenDates.length;i++){if(hiddenDates[i].repeat===undefined){var dateItem={};dateItem.start=moment(hiddenDates[i].start).toDate().valueOf();dateItem.end=moment(hiddenDates[i].end).toDate().valueOf();body.hiddenDates.push(dateItem)}}body.hiddenDates.sort(function(a,b){return a.start-b.start})}}};exports.updateHiddenDates=function(moment,body,hiddenDates){if(hiddenDates&&!Array.isArray(hiddenDates)){return exports.updateHiddenDates(moment,body,[hiddenDates])}if(hiddenDates&&body.domProps.centerContainer.width!==undefined){exports.convertHiddenOptions(moment,body,hiddenDates);var start=moment(body.range.start);var end=moment(body.range.end);var totalRange=body.range.end-body.range.start;var pixelTime=totalRange/body.domProps.centerContainer.width;for(var i=0;i<hiddenDates.length;i++){if(hiddenDates[i].repeat!==undefined){var startDate=moment(hiddenDates[i].start);var endDate=moment(hiddenDates[i].end);if(startDate._d==\"Invalid Date\"){throw new Error(\"Supplied start date is not valid: \"+hiddenDates[i].start)}if(endDate._d==\"Invalid Date\"){throw new Error(\"Supplied end date is not valid: \"+hiddenDates[i].end)}var duration=endDate-startDate;if(duration>=4*pixelTime){var offset=0;var runUntil=end.clone();switch(hiddenDates[i].repeat){case\"daily\":if(startDate.day()!=endDate.day()){offset=1}startDate.dayOfYear(start.dayOfYear());startDate.year(start.year());startDate.subtract(7,\"days\");endDate.dayOfYear(start.dayOfYear());endDate.year(start.year());endDate.subtract(7-offset,\"days\");runUntil.add(1,\"weeks\");break;case\"weekly\":var dayOffset=endDate.diff(startDate,\"days\");var day=startDate.day();startDate.date(start.date());startDate.month(start.month());startDate.year(start.year());endDate=startDate.clone();startDate.day(day);endDate.day(day);endDate.add(dayOffset,\"days\");startDate.subtract(1,\"weeks\");endDate.subtract(1,\"weeks\");runUntil.add(1,\"weeks\");break;case\"monthly\":if(startDate.month()!=endDate.month()){offset=1}startDate.month(start.month());startDate.year(start.year());startDate.subtract(1,\"months\");endDate.month(start.month());endDate.year(start.year());endDate.subtract(1,\"months\");endDate.add(offset,\"months\");runUntil.add(1,\"months\");break;case\"yearly\":if(startDate.year()!=endDate.year()){offset=1}startDate.year(start.year());startDate.subtract(1,\"years\");endDate.year(start.year());endDate.subtract(1,\"years\");endDate.add(offset,\"years\");runUntil.add(1,\"years\");break;default:console.log(\"Wrong repeat format, allowed are: daily, weekly, monthly, yearly. Given:\",hiddenDates[i].repeat);return}while(startDate<runUntil){body.hiddenDates.push({start:startDate.valueOf(),end:endDate.valueOf()});switch(hiddenDates[i].repeat){case\"daily\":startDate.add(1,\"days\");endDate.add(1,\"days\");break;case\"weekly\":startDate.add(1,\"weeks\");endDate.add(1,\"weeks\");break;case\"monthly\":startDate.add(1,\"months\");endDate.add(1,\"months\");break;case\"yearly\":startDate.add(1,\"y\");endDate.add(1,\"y\");break;default:console.log(\"Wrong repeat format, allowed are: daily, weekly, monthly, yearly. Given:\",hiddenDates[i].repeat);return}}body.hiddenDates.push({start:startDate.valueOf(),end:endDate.valueOf()})}}}exports.removeDuplicates(body);var startHidden=exports.isHidden(body.range.start,body.hiddenDates);var endHidden=exports.isHidden(body.range.end,body.hiddenDates);var rangeStart=body.range.start;var rangeEnd=body.range.end;if(startHidden.hidden==true){rangeStart=body.range.startToFront==true?startHidden.startDate-1:startHidden.endDate+1}if(endHidden.hidden==true){rangeEnd=body.range.endToFront==true?endHidden.startDate-1:endHidden.endDate+1}if(startHidden.hidden==true||endHidden.hidden==true){body.range._applyRange(rangeStart,rangeEnd)}}};exports.removeDuplicates=function(body){var hiddenDates=body.hiddenDates;var safeDates=[];for(var i=0;i<hiddenDates.length;i++){for(var j=0;j<hiddenDates.length;j++){if(i!=j&&hiddenDates[j].remove!=true&&hiddenDates[i].remove!=true){if(hiddenDates[j].start>=hiddenDates[i].start&&hiddenDates[j].end<=hiddenDates[i].end){hiddenDates[j].remove=true}else if(hiddenDates[j].start>=hiddenDates[i].start&&hiddenDates[j].start<=hiddenDates[i].end){hiddenDates[i].end=hiddenDates[j].end;hiddenDates[j].remove=true}else if(hiddenDates[j].end>=hiddenDates[i].start&&hiddenDates[j].end<=hiddenDates[i].end){hiddenDates[i].start=hiddenDates[j].start;hiddenDates[j].remove=true}}}}for(i=0;i<hiddenDates.length;i++){if(hiddenDates[i].remove!==true){safeDates.push(hiddenDates[i])}}body.hiddenDates=safeDates;body.hiddenDates.sort(function(a,b){return a.start-b.start})};exports.printDates=function(dates){for(var i=0;i<dates.length;i++){console.log(i,new Date(dates[i].start),new Date(dates[i].end),dates[i].start,dates[i].end,dates[i].remove)}};exports.stepOverHiddenDates=function(moment,timeStep,previousTime){var stepInHidden=false;var currentValue=timeStep.current.valueOf();for(var i=0;i<timeStep.hiddenDates.length;i++){var startDate=timeStep.hiddenDates[i].start;var endDate=timeStep.hiddenDates[i].end;if(currentValue>=startDate&&currentValue<endDate){stepInHidden=true;break}}if(stepInHidden==true&&currentValue<timeStep._end.valueOf()&&currentValue!=previousTime){var prevValue=moment(previousTime);var newValue=moment(endDate);if(prevValue.year()!=newValue.year()){timeStep.switchedYear=true}else if(prevValue.month()!=newValue.month()){timeStep.switchedMonth=true}else if(prevValue.dayOfYear()!=newValue.dayOfYear()){timeStep.switchedDay=true}timeStep.current=newValue}};exports.toScreen=function(Core,time,width){var conversion;if(Core.body.hiddenDates.length==0){conversion=Core.range.conversion(width);return(time.valueOf()-conversion.offset)*conversion.scale}else{var hidden=exports.isHidden(time,Core.body.hiddenDates);if(hidden.hidden==true){time=hidden.startDate}var duration=exports.getHiddenDurationBetween(Core.body.hiddenDates,Core.range.start,Core.range.end);if(time<Core.range.start){conversion=Core.range.conversion(width,duration);var hiddenBeforeStart=exports.getHiddenDurationBeforeStart(Core.body.hiddenDates,time,conversion.offset);time=Core.options.moment(time).toDate().valueOf();time=time+hiddenBeforeStart;return-(conversion.offset-time.valueOf())*conversion.scale}else if(time>Core.range.end){var rangeAfterEnd={start:Core.range.start,end:time};time=exports.correctTimeForHidden(Core.options.moment,Core.body.hiddenDates,rangeAfterEnd,time);conversion=Core.range.conversion(width,duration);return(time.valueOf()-conversion.offset)*conversion.scale}else{time=exports.correctTimeForHidden(Core.options.moment,Core.body.hiddenDates,Core.range,time);conversion=Core.range.conversion(width,duration);return(time.valueOf()-conversion.offset)*conversion.scale}}};exports.toTime=function(Core,x,width){if(Core.body.hiddenDates.length==0){var conversion=Core.range.conversion(width);return new Date(x/conversion.scale+conversion.offset)}else{var hiddenDuration=exports.getHiddenDurationBetween(Core.body.hiddenDates,Core.range.start,Core.range.end);var totalDuration=Core.range.end-Core.range.start-hiddenDuration;var partialDuration=totalDuration*x/width;var accumulatedHiddenDuration=exports.getAccumulatedHiddenDuration(Core.body.hiddenDates,Core.range,partialDuration);return new Date(accumulatedHiddenDuration+partialDuration+Core.range.start)}};exports.getHiddenDurationBetween=function(hiddenDates,start,end){var duration=0;for(var i=0;i<hiddenDates.length;i++){var startDate=hiddenDates[i].start;var endDate=hiddenDates[i].end;if(startDate>=start&&endDate<end){duration+=endDate-startDate}}return duration};exports.getHiddenDurationBeforeStart=function(hiddenDates,start,end){var duration=0;for(var i=0;i<hiddenDates.length;i++){var startDate=hiddenDates[i].start;var endDate=hiddenDates[i].end;if(startDate>=start&&endDate<=end){duration+=endDate-startDate}}return duration};exports.correctTimeForHidden=function(moment,hiddenDates,range,time){time=moment(time).toDate().valueOf();time-=exports.getHiddenDurationBefore(moment,hiddenDates,range,time);return time};exports.getHiddenDurationBefore=function(moment,hiddenDates,range,time){var timeOffset=0;time=moment(time).toDate().valueOf();for(var i=0;i<hiddenDates.length;i++){var startDate=hiddenDates[i].start;var endDate=hiddenDates[i].end;if(startDate>=range.start&&endDate<range.end){if(time>=endDate){timeOffset+=endDate-startDate}}}return timeOffset};exports.getAccumulatedHiddenDuration=function(hiddenDates,range,requiredDuration){var hiddenDuration=0;var duration=0;var previousPoint=range.start;for(var i=0;i<hiddenDates.length;i++){var startDate=hiddenDates[i].start;var endDate=hiddenDates[i].end;if(startDate>=range.start&&endDate<range.end){duration+=startDate-previousPoint;previousPoint=endDate;if(duration>=requiredDuration){break}else{hiddenDuration+=endDate-startDate}}}return hiddenDuration};exports.snapAwayFromHidden=function(hiddenDates,time,direction,correctionEnabled){var isHidden=exports.isHidden(time,hiddenDates);if(isHidden.hidden==true){if(direction<0){if(correctionEnabled==true){return isHidden.startDate-(isHidden.endDate-time)-1}else{return isHidden.startDate-1}}else{if(correctionEnabled==true){return isHidden.endDate+(time-isHidden.startDate)+1}else{return isHidden.endDate+1}}}else{return time}};exports.isHidden=function(time,hiddenDates){for(var i=0;i<hiddenDates.length;i++){var startDate=hiddenDates[i].start;var endDate=hiddenDates[i].end;if(time>=startDate&&time<endDate){return{hidden:true,startDate:startDate,endDate:endDate}}}return{hidden:false,startDate:startDate,endDate:endDate}}},function(module,exports,__webpack_require__){\"use strict\";exports.onTouch=function(hammer,callback){callback.inputHandler=function(event){if(event.isFirst){callback(event)}};hammer.on(\"hammer.input\",callback.inputHandler)};exports.onRelease=function(hammer,callback){callback.inputHandler=function(event){if(event.isFinal){callback(event)}};return hammer.on(\"hammer.input\",callback.inputHandler)};exports.offTouch=function(hammer,callback){hammer.off(\"hammer.input\",callback.inputHandler)};exports.offRelease=exports.offTouch;exports.disablePreventDefaultVertically=function(pinchRecognizer){var TOUCH_ACTION_PAN_Y=\"pan-y\";pinchRecognizer.getTouchAction=function(){return[TOUCH_ACTION_PAN_Y]};return pinchRecognizer}},function(module,exports,__webpack_require__){\"use strict\";var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Hammer=__webpack_require__(10);var util=__webpack_require__(2);var moment=__webpack_require__(9);function Item(data,conversion,options){this.id=null;this.parent=null;this.data=data;this.dom=null;this.conversion=conversion||{};this.options=options||{};this.selected=false;this.displayed=false;this.groupShowing=true;this.dirty=true;this.top=null;this.right=null;this.left=null;this.width=null;this.height=null;this.editable=null;this._updateEditStatus()}Item.prototype.stack=true;Item.prototype.select=function(){this.selected=true;this.dirty=true;if(this.displayed)this.redraw()};Item.prototype.unselect=function(){this.selected=false;this.dirty=true;if(this.displayed)this.redraw()};Item.prototype.setData=function(data){var groupChanged=data.group!=undefined&&this.data.group!=data.group;if(groupChanged&&this.parent!=null){this.parent.itemSet._moveToGroup(this,data.group)}if(this.parent){this.parent.stackDirty=true}var subGroupChanged=data.subgroup!=undefined&&this.data.subgroup!=data.subgroup;if(subGroupChanged&&this.parent!=null){this.parent.changeSubgroup(this,this.data.subgroup,data.subgroup)}this.data=data;this._updateEditStatus();this.dirty=true;if(this.displayed)this.redraw()};Item.prototype.setParent=function(parent){if(this.displayed){this.hide();this.parent=parent;if(this.parent){this.show()}}else{this.parent=parent}};Item.prototype.isVisible=function(range){return false};Item.prototype.show=function(){return false};Item.prototype.hide=function(){return false};Item.prototype.redraw=function(){};Item.prototype.repositionX=function(){};Item.prototype.repositionY=function(){};Item.prototype._repaintDragCenter=function(){if(this.selected&&this.options.editable.updateTime&&!this.dom.dragCenter){var me=this;var dragCenter=document.createElement(\"div\");dragCenter.className=\"vis-drag-center\";dragCenter.dragCenterItem=this;var hammer=new Hammer(dragCenter);hammer.on(\"tap\",function(event){me.parent.itemSet.body.emitter.emit(\"click\",{event:event,item:me.id})});hammer.on(\"doubletap\",function(event){event.stopPropagation();me.parent.itemSet._onUpdateItem(me);me.parent.itemSet.body.emitter.emit(\"doubleClick\",{event:event,item:me.id})});if(this.dom.box){if(this.dom.dragLeft){this.dom.box.insertBefore(dragCenter,this.dom.dragLeft)}else{this.dom.box.appendChild(dragCenter)}}else if(this.dom.point){this.dom.point.appendChild(dragCenter)}this.dom.dragCenter=dragCenter}else if(!this.selected&&this.dom.dragCenter){if(this.dom.dragCenter.parentNode){this.dom.dragCenter.parentNode.removeChild(this.dom.dragCenter)}this.dom.dragCenter=null}};Item.prototype._repaintDeleteButton=function(anchor){var editable=(this.options.editable.overrideItems||this.editable==null)&&this.options.editable.remove||!this.options.editable.overrideItems&&this.editable!=null&&this.editable.remove;if(this.selected&&editable&&!this.dom.deleteButton){var me=this;var deleteButton=document.createElement(\"div\");if(this.options.rtl){deleteButton.className=\"vis-delete-rtl\"}else{deleteButton.className=\"vis-delete\"}deleteButton.title=\"Delete this item\";new Hammer(deleteButton).on(\"tap\",function(event){event.stopPropagation();me.parent.removeFromDataSet(me)});anchor.appendChild(deleteButton);this.dom.deleteButton=deleteButton}else if(!this.selected&&this.dom.deleteButton){if(this.dom.deleteButton.parentNode){this.dom.deleteButton.parentNode.removeChild(this.dom.deleteButton)}this.dom.deleteButton=null}};Item.prototype._repaintOnItemUpdateTimeTooltip=function(anchor){if(!this.options.tooltipOnItemUpdateTime)return;var editable=(this.options.editable.updateTime||this.data.editable===true)&&this.data.editable!==false;if(this.selected&&editable&&!this.dom.onItemUpdateTimeTooltip){var onItemUpdateTimeTooltip=document.createElement(\"div\");onItemUpdateTimeTooltip.className=\"vis-onUpdateTime-tooltip\";anchor.appendChild(onItemUpdateTimeTooltip);this.dom.onItemUpdateTimeTooltip=onItemUpdateTimeTooltip}else if(!this.selected&&this.dom.onItemUpdateTimeTooltip){if(this.dom.onItemUpdateTimeTooltip.parentNode){this.dom.onItemUpdateTimeTooltip.parentNode.removeChild(this.dom.onItemUpdateTimeTooltip)}this.dom.onItemUpdateTimeTooltip=null}if(this.dom.onItemUpdateTimeTooltip){this.dom.onItemUpdateTimeTooltip.style.visibility=this.parent.itemSet.touchParams.itemIsDragging?\"visible\":\"hidden\";if(this.options.rtl){this.dom.onItemUpdateTimeTooltip.style.right=this.dom.content.style.right}else{this.dom.onItemUpdateTimeTooltip.style.left=this.dom.content.style.left}var tooltipOffset=50;var scrollTop=this.parent.itemSet.body.domProps.scrollTop;var itemDistanceFromTop;if(this.options.orientation.item==\"top\"){itemDistanceFromTop=this.top}else{itemDistanceFromTop=this.parent.height-this.top-this.height}var isCloseToTop=itemDistanceFromTop+this.parent.top-tooltipOffset<-scrollTop;if(isCloseToTop){this.dom.onItemUpdateTimeTooltip.style.bottom=\"\";this.dom.onItemUpdateTimeTooltip.style.top=this.height+2+\"px\"}else{this.dom.onItemUpdateTimeTooltip.style.top=\"\";this.dom.onItemUpdateTimeTooltip.style.bottom=this.height+2+\"px\"}var content;var templateFunction;if(this.options.tooltipOnItemUpdateTime&&this.options.tooltipOnItemUpdateTime.template){templateFunction=this.options.tooltipOnItemUpdateTime.template.bind(this);content=templateFunction(this.data)}else{content=\"start: \"+moment(this.data.start).format(\"MM/DD/YYYY hh:mm\");if(this.data.end){content+=\"<br> end: \"+moment(this.data.end).format(\"MM/DD/YYYY hh:mm\")}}this.dom.onItemUpdateTimeTooltip.innerHTML=content}};Item.prototype._updateContents=function(element){var content;var changed;var templateFunction;var itemVisibleFrameContent;var visibleFrameTemplateFunction;var itemData=this.parent.itemSet.itemsData.get(this.id);var frameElement=this.dom.box||this.dom.point;var itemVisibleFrameContentElement=frameElement.getElementsByClassName(\"vis-item-visible-frame\")[0];if(this.options.visibleFrameTemplate){visibleFrameTemplateFunction=this.options.visibleFrameTemplate.bind(this);itemVisibleFrameContent=visibleFrameTemplateFunction(itemData,frameElement)}else{itemVisibleFrameContent=\"\"}if(itemVisibleFrameContentElement){if(itemVisibleFrameContent instanceof Object&&!(itemVisibleFrameContent instanceof Element)){visibleFrameTemplateFunction(itemData,itemVisibleFrameContentElement)}else{changed=this._contentToString(this.itemVisibleFrameContent)!==this._contentToString(itemVisibleFrameContent);if(changed){if(itemVisibleFrameContent instanceof Element){itemVisibleFrameContentElement.innerHTML=\"\";itemVisibleFrameContentElement.appendChild(itemVisibleFrameContent)}else if(itemVisibleFrameContent!=undefined){itemVisibleFrameContentElement.innerHTML=itemVisibleFrameContent}else{if(!(this.data.type==\"background\"&&this.data.content===undefined)){throw new Error('Property \"content\" missing in item '+this.id)}}this.itemVisibleFrameContent=itemVisibleFrameContent}}}if(this.options.template){templateFunction=this.options.template.bind(this);content=templateFunction(itemData,element,this.data)}else{content=this.data.content}if(content instanceof Object&&!(content instanceof Element)){templateFunction(itemData,element)}else{changed=this._contentToString(this.content)!==this._contentToString(content);if(changed){if(content instanceof Element){element.innerHTML=\"\";element.appendChild(content)}else if(content!=undefined){element.innerHTML=content}else{if(!(this.data.type==\"background\"&&this.data.content===undefined)){throw new Error('Property \"content\" missing in item '+this.id)}}this.content=content}}};Item.prototype._updateDataAttributes=function(element){if(this.options.dataAttributes&&this.options.dataAttributes.length>0){var attributes=[];if(Array.isArray(this.options.dataAttributes)){attributes=this.options.dataAttributes}else if(this.options.dataAttributes==\"all\"){attributes=(0,_keys2[\"default\"])(this.data)}else{return}for(var i=0;i<attributes.length;i++){var name=attributes[i];var value=this.data[name];if(value!=null){element.setAttribute(\"data-\"+name,value)}else{element.removeAttribute(\"data-\"+name)}}}};Item.prototype._updateStyle=function(element){if(this.style){util.removeCssText(element,this.style);this.style=null}if(this.data.style){util.addCssText(element,this.data.style);this.style=this.data.style}};Item.prototype._contentToString=function(content){if(typeof content===\"string\")return content;if(content&&\"outerHTML\"in content)return content.outerHTML;return content};Item.prototype._updateEditStatus=function(){if(this.options){if(typeof this.options.editable===\"boolean\"){this.editable={updateTime:this.options.editable,updateGroup:this.options.editable,remove:this.options.editable}}else if((0,_typeof3[\"default\"])(this.options.editable)===\"object\"){this.editable={};util.selectiveExtend([\"updateTime\",\"updateGroup\",\"remove\"],this.editable,this.options.editable)}}if(!this.options||!this.options.editable||this.options.editable.overrideItems!==true){if(this.data){if(typeof this.data.editable===\"boolean\"){this.editable={updateTime:this.data.editable,updateGroup:this.data.editable,remove:this.data.editable}}else if((0,_typeof3[\"default\"])(this.data.editable)===\"object\"){this.editable={};util.selectiveExtend([\"updateTime\",\"updateGroup\",\"remove\"],this.editable,this.data.editable)}}}};Item.prototype.getWidthLeft=function(){return 0};Item.prototype.getWidthRight=function(){return 0};Item.prototype.getTitle=function(){return this.data.title};module.exports=Item},function(module,exports){module.exports=function(bitmap,value){return{enumerable:!(bitmap&1),configurable:!(bitmap&2),writable:!(bitmap&4),value:value}}},function(module,exports){var id=0;var px=Math.random();module.exports=function(key){return\"Symbol(\".concat(key===undefined?\"\":key,\")_\",(++id+px).toString(36))}},function(module,exports,__webpack_require__){var defined=__webpack_require__(51);module.exports=function(it){return Object(defined(it))}},function(module,exports){exports.f={}.propertyIsEnumerable},function(module,exports,__webpack_require__){\"use strict\";function Queue(options){this.delay=null;this.max=Infinity;this._queue=[];this._timeout=null;this._extended=null;this.setOptions(options)}Queue.prototype.setOptions=function(options){if(options&&typeof options.delay!==\"undefined\"){this.delay=options.delay}if(options&&typeof options.max!==\"undefined\"){this.max=options.max}this._flushIfNeeded()};Queue.extend=function(object,options){var queue=new Queue(options);if(object.flush!==undefined){throw new Error(\"Target object already has a property flush\")}object.flush=function(){queue.flush()};var methods=[{name:\"flush\",original:undefined}];if(options&&options.replace){for(var i=0;i<options.replace.length;i++){var name=options.replace[i];methods.push({name:name,original:object[name]});queue.replace(object,name)}}queue._extended={object:object,methods:methods};return queue};Queue.prototype.destroy=function(){this.flush();if(this._extended){var object=this._extended.object;var methods=this._extended.methods;for(var i=0;i<methods.length;i++){var method=methods[i];if(method.original){object[method.name]=method.original}else{delete object[method.name]}}this._extended=null}};Queue.prototype.replace=function(object,method){var me=this;var original=object[method];if(!original){throw new Error(\"Method \"+method+\" undefined\")}object[method]=function(){var args=[];for(var i=0;i<arguments.length;i++){args[i]=arguments[i]}me.queue({args:args,fn:original,context:this})}};Queue.prototype.queue=function(entry){if(typeof entry===\"function\"){this._queue.push({fn:entry})}else{this._queue.push(entry)}this._flushIfNeeded()};Queue.prototype._flushIfNeeded=function(){\nif(this._queue.length>this.max){this.flush()}clearTimeout(this._timeout);if(this.queue.length>0&&typeof this.delay===\"number\"){var me=this;this._timeout=setTimeout(function(){me.flush()},this.delay)}};Queue.prototype.flush=function(){while(this._queue.length>0){var entry=this._queue.shift();entry.fn.apply(entry.context||entry.fn,entry.args||[])}};module.exports=Queue},function(module,exports){module.exports=Emitter;function Emitter(obj){if(obj)return mixin(obj)}function mixin(obj){for(var key in Emitter.prototype){obj[key]=Emitter.prototype[key]}return obj}Emitter.prototype.on=Emitter.prototype.addEventListener=function(event,fn){this._callbacks=this._callbacks||{};(this._callbacks[event]=this._callbacks[event]||[]).push(fn);return this};Emitter.prototype.once=function(event,fn){var self=this;this._callbacks=this._callbacks||{};function on(){self.off(event,on);fn.apply(this,arguments)}on.fn=fn;this.on(event,on);return this};Emitter.prototype.off=Emitter.prototype.removeListener=Emitter.prototype.removeAllListeners=Emitter.prototype.removeEventListener=function(event,fn){this._callbacks=this._callbacks||{};if(0==arguments.length){this._callbacks={};return this}var callbacks=this._callbacks[event];if(!callbacks)return this;if(1==arguments.length){delete this._callbacks[event];return this}var cb;for(var i=0;i<callbacks.length;i++){cb=callbacks[i];if(cb===fn||cb.fn===fn){callbacks.splice(i,1);break}}return this};Emitter.prototype.emit=function(event){this._callbacks=this._callbacks||{};var args=[].slice.call(arguments,1),callbacks=this._callbacks[event];if(callbacks){callbacks=callbacks.slice(0);for(var i=0,len=callbacks.length;i<len;++i){callbacks[i].apply(this,args)}}return this};Emitter.prototype.listeners=function(event){this._callbacks=this._callbacks||{};return this._callbacks[event]||[]};Emitter.prototype.hasListeners=function(event){return!!this.listeners(event).length}},function(module,exports,__webpack_require__){\"use strict\";var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Component=__webpack_require__(16);var TimeStep=__webpack_require__(66);var DateUtil=__webpack_require__(36);var moment=__webpack_require__(9);function TimeAxis(body,options){this.dom={foreground:null,lines:[],majorTexts:[],minorTexts:[],redundant:{lines:[],majorTexts:[],minorTexts:[]}};this.props={range:{start:0,end:0,minimumStep:0},lineTop:0};this.defaultOptions={orientation:{axis:\"bottom\"},showMinorLabels:true,showMajorLabels:true,maxMinorChars:7,format:TimeStep.FORMAT,moment:moment,timeAxis:null};this.options=util.extend({},this.defaultOptions);this.body=body;this._create();this.setOptions(options)}TimeAxis.prototype=new Component;TimeAxis.prototype.setOptions=function(options){if(options){util.selectiveExtend([\"showMinorLabels\",\"showMajorLabels\",\"maxMinorChars\",\"hiddenDates\",\"timeAxis\",\"moment\",\"rtl\"],this.options,options);util.selectiveDeepExtend([\"format\"],this.options,options);if(\"orientation\"in options){if(typeof options.orientation===\"string\"){this.options.orientation.axis=options.orientation}else if((0,_typeof3[\"default\"])(options.orientation)===\"object\"&&\"axis\"in options.orientation){this.options.orientation.axis=options.orientation.axis}}if(\"locale\"in options){if(typeof moment.locale===\"function\"){moment.locale(options.locale)}else{moment.lang(options.locale)}}}};TimeAxis.prototype._create=function(){this.dom.foreground=document.createElement(\"div\");this.dom.background=document.createElement(\"div\");this.dom.foreground.className=\"vis-time-axis vis-foreground\";this.dom.background.className=\"vis-time-axis vis-background\"};TimeAxis.prototype.destroy=function(){if(this.dom.foreground.parentNode){this.dom.foreground.parentNode.removeChild(this.dom.foreground)}if(this.dom.background.parentNode){this.dom.background.parentNode.removeChild(this.dom.background)}this.body=null};TimeAxis.prototype.redraw=function(){var props=this.props;var foreground=this.dom.foreground;var background=this.dom.background;var parent=this.options.orientation.axis==\"top\"?this.body.dom.top:this.body.dom.bottom;var parentChanged=foreground.parentNode!==parent;this._calculateCharSize();var showMinorLabels=this.options.showMinorLabels&&this.options.orientation.axis!==\"none\";var showMajorLabels=this.options.showMajorLabels&&this.options.orientation.axis!==\"none\";props.minorLabelHeight=showMinorLabels?props.minorCharHeight:0;props.majorLabelHeight=showMajorLabels?props.majorCharHeight:0;props.height=props.minorLabelHeight+props.majorLabelHeight;props.width=foreground.offsetWidth;props.minorLineHeight=this.body.domProps.root.height-props.majorLabelHeight-(this.options.orientation.axis==\"top\"?this.body.domProps.bottom.height:this.body.domProps.top.height);props.minorLineWidth=1;props.majorLineHeight=props.minorLineHeight+props.majorLabelHeight;props.majorLineWidth=1;var foregroundNextSibling=foreground.nextSibling;var backgroundNextSibling=background.nextSibling;foreground.parentNode&&foreground.parentNode.removeChild(foreground);background.parentNode&&background.parentNode.removeChild(background);foreground.style.height=this.props.height+\"px\";this._repaintLabels();if(foregroundNextSibling){parent.insertBefore(foreground,foregroundNextSibling)}else{parent.appendChild(foreground)}if(backgroundNextSibling){this.body.dom.backgroundVertical.insertBefore(background,backgroundNextSibling)}else{this.body.dom.backgroundVertical.appendChild(background)}return this._isResized()||parentChanged};TimeAxis.prototype._repaintLabels=function(){var orientation=this.options.orientation.axis;var start=util.convert(this.body.range.start,\"Number\");var end=util.convert(this.body.range.end,\"Number\");var timeLabelsize=this.body.util.toTime((this.props.minorCharWidth||10)*this.options.maxMinorChars).valueOf();var minimumStep=timeLabelsize-DateUtil.getHiddenDurationBefore(this.options.moment,this.body.hiddenDates,this.body.range,timeLabelsize);minimumStep-=this.body.util.toTime(0).valueOf();var step=new TimeStep(new Date(start),new Date(end),minimumStep,this.body.hiddenDates,this.options);step.setMoment(this.options.moment);if(this.options.format){step.setFormat(this.options.format)}if(this.options.timeAxis){step.setScale(this.options.timeAxis)}this.step=step;var dom=this.dom;dom.redundant.lines=dom.lines;dom.redundant.majorTexts=dom.majorTexts;dom.redundant.minorTexts=dom.minorTexts;dom.lines=[];dom.majorTexts=[];dom.minorTexts=[];var current;var next;var x;var xNext;var isMajor;var nextIsMajor;var showMinorGrid;var width=0,prevWidth;var line;var labelMinor;var xFirstMajorLabel=undefined;var count=0;var MAX=1e3;var className;step.start();next=step.getCurrent();xNext=this.body.util.toScreen(next);while(step.hasNext()&&count<MAX){count++;isMajor=step.isMajor();className=step.getClassName();labelMinor=step.getLabelMinor();current=next;x=xNext;step.next();next=step.getCurrent();nextIsMajor=step.isMajor();xNext=this.body.util.toScreen(next);prevWidth=width;width=xNext-x;switch(step.scale){case\"week\":showMinorGrid=true;break;default:showMinorGrid=width>=prevWidth*.4;break}if(this.options.showMinorLabels&&showMinorGrid){var label=this._repaintMinorText(x,labelMinor,orientation,className);label.style.width=width+\"px\"}if(isMajor&&this.options.showMajorLabels){if(x>0){if(xFirstMajorLabel==undefined){xFirstMajorLabel=x}label=this._repaintMajorText(x,step.getLabelMajor(),orientation,className)}line=this._repaintMajorLine(x,width,orientation,className)}else{if(showMinorGrid){line=this._repaintMinorLine(x,width,orientation,className)}else{if(line){line.style.width=parseInt(line.style.width)+width+\"px\"}}}}if(count===MAX&&!warnedForOverflow){console.warn(\"Something is wrong with the Timeline scale. Limited drawing of grid lines to \"+MAX+\" lines.\");warnedForOverflow=true}if(this.options.showMajorLabels){var leftTime=this.body.util.toTime(0),leftText=step.getLabelMajor(leftTime),widthText=leftText.length*(this.props.majorCharWidth||10)+10;if(xFirstMajorLabel==undefined||widthText<xFirstMajorLabel){this._repaintMajorText(0,leftText,orientation,className)}}util.forEach(this.dom.redundant,function(arr){while(arr.length){var elem=arr.pop();if(elem&&elem.parentNode){elem.parentNode.removeChild(elem)}}})};TimeAxis.prototype._repaintMinorText=function(x,text,orientation,className){var label=this.dom.redundant.minorTexts.shift();if(!label){var content=document.createTextNode(\"\");label=document.createElement(\"div\");label.appendChild(content);this.dom.foreground.appendChild(label)}this.dom.minorTexts.push(label);label.innerHTML=text;label.style.top=orientation==\"top\"?this.props.majorLabelHeight+\"px\":\"0\";if(this.options.rtl){label.style.left=\"\";label.style.right=x+\"px\"}else{label.style.left=x+\"px\"}label.className=\"vis-text vis-minor \"+className;return label};TimeAxis.prototype._repaintMajorText=function(x,text,orientation,className){var label=this.dom.redundant.majorTexts.shift();if(!label){var content=document.createElement(\"div\");label=document.createElement(\"div\");label.appendChild(content);this.dom.foreground.appendChild(label)}label.childNodes[0].innerHTML=text;label.className=\"vis-text vis-major \"+className;label.style.top=orientation==\"top\"?\"0\":this.props.minorLabelHeight+\"px\";if(this.options.rtl){label.style.left=\"\";label.style.right=x+\"px\"}else{label.style.left=x+\"px\"}this.dom.majorTexts.push(label);return label};TimeAxis.prototype._repaintMinorLine=function(x,width,orientation,className){var line=this.dom.redundant.lines.shift();if(!line){line=document.createElement(\"div\");this.dom.background.appendChild(line)}this.dom.lines.push(line);var props=this.props;if(orientation==\"top\"){line.style.top=props.majorLabelHeight+\"px\"}else{line.style.top=this.body.domProps.top.height+\"px\"}line.style.height=props.minorLineHeight+\"px\";if(this.options.rtl){line.style.left=\"\";line.style.right=x-props.minorLineWidth/2+\"px\";line.className=\"vis-grid vis-vertical-rtl vis-minor \"+className}else{line.style.left=x-props.minorLineWidth/2+\"px\";line.className=\"vis-grid vis-vertical vis-minor \"+className}line.style.width=width+\"px\";return line};TimeAxis.prototype._repaintMajorLine=function(x,width,orientation,className){var line=this.dom.redundant.lines.shift();if(!line){line=document.createElement(\"div\");this.dom.background.appendChild(line)}this.dom.lines.push(line);var props=this.props;if(orientation==\"top\"){line.style.top=\"0\"}else{line.style.top=this.body.domProps.top.height+\"px\"}if(this.options.rtl){line.style.left=\"\";line.style.right=x-props.majorLineWidth/2+\"px\";line.className=\"vis-grid vis-vertical-rtl vis-major \"+className}else{line.style.left=x-props.majorLineWidth/2+\"px\";line.className=\"vis-grid vis-vertical vis-major \"+className}line.style.height=props.majorLineHeight+\"px\";line.style.width=width+\"px\";return line};TimeAxis.prototype._calculateCharSize=function(){if(!this.dom.measureCharMinor){this.dom.measureCharMinor=document.createElement(\"DIV\");this.dom.measureCharMinor.className=\"vis-text vis-minor vis-measure\";this.dom.measureCharMinor.style.position=\"absolute\";this.dom.measureCharMinor.appendChild(document.createTextNode(\"0\"));this.dom.foreground.appendChild(this.dom.measureCharMinor)}this.props.minorCharHeight=this.dom.measureCharMinor.clientHeight;this.props.minorCharWidth=this.dom.measureCharMinor.clientWidth;if(!this.dom.measureCharMajor){this.dom.measureCharMajor=document.createElement(\"DIV\");this.dom.measureCharMajor.className=\"vis-text vis-major vis-measure\";this.dom.measureCharMajor.style.position=\"absolute\";this.dom.measureCharMajor.appendChild(document.createTextNode(\"0\"));this.dom.foreground.appendChild(this.dom.measureCharMajor)}this.props.majorCharHeight=this.dom.measureCharMajor.clientHeight;this.props.majorCharWidth=this.dom.measureCharMajor.clientWidth};var warnedForOverflow=false;module.exports=TimeAxis},function(module,exports,__webpack_require__){\"use strict\";var Hammer=__webpack_require__(10);var util=__webpack_require__(2);var Component=__webpack_require__(16);var moment=__webpack_require__(9);var locales=__webpack_require__(98);function CustomTime(body,options){this.body=body;this.defaultOptions={moment:moment,locales:locales,locale:\"en\",id:undefined,title:undefined};this.options=util.extend({},this.defaultOptions);if(options&&options.time){this.customTime=options.time}else{this.customTime=new Date}this.eventParams={};this.setOptions(options);this._create()}CustomTime.prototype=new Component;CustomTime.prototype.setOptions=function(options){if(options){util.selectiveExtend([\"moment\",\"locale\",\"locales\",\"id\"],this.options,options)}};CustomTime.prototype._create=function(){var bar=document.createElement(\"div\");bar[\"custom-time\"]=this;bar.className=\"vis-custom-time \"+(this.options.id||\"\");bar.style.position=\"absolute\";bar.style.top=\"0px\";bar.style.height=\"100%\";this.bar=bar;var drag=document.createElement(\"div\");drag.style.position=\"relative\";drag.style.top=\"0px\";drag.style.left=\"-10px\";drag.style.height=\"100%\";drag.style.width=\"20px\";function onMouseWheel(e){this.body.range._onMouseWheel(e)}if(drag.addEventListener){drag.addEventListener(\"mousewheel\",onMouseWheel.bind(this),false);drag.addEventListener(\"DOMMouseScroll\",onMouseWheel.bind(this),false)}else{drag.attachEvent(\"onmousewheel\",onMouseWheel.bind(this))}bar.appendChild(drag);this.hammer=new Hammer(drag);this.hammer.on(\"panstart\",this._onDragStart.bind(this));this.hammer.on(\"panmove\",this._onDrag.bind(this));this.hammer.on(\"panend\",this._onDragEnd.bind(this));this.hammer.get(\"pan\").set({threshold:5,direction:Hammer.DIRECTION_HORIZONTAL})};CustomTime.prototype.destroy=function(){this.hide();this.hammer.destroy();this.hammer=null;this.body=null};CustomTime.prototype.redraw=function(){var parent=this.body.dom.backgroundVertical;if(this.bar.parentNode!=parent){if(this.bar.parentNode){this.bar.parentNode.removeChild(this.bar)}parent.appendChild(this.bar)}var x=this.body.util.toScreen(this.customTime);var locale=this.options.locales[this.options.locale];if(!locale){if(!this.warned){console.log(\"WARNING: options.locales['\"+this.options.locale+\"'] not found. See http://visjs.org/docs/timeline/#Localization\");this.warned=true}locale=this.options.locales[\"en\"]}var title=this.options.title;if(title===undefined){title=locale.time+\": \"+this.options.moment(this.customTime).format(\"dddd, MMMM Do YYYY, H:mm:ss\");title=title.charAt(0).toUpperCase()+title.substring(1)}else if(typeof title===\"function\"){title=title.call(this.customTime)}this.bar.style.left=x+\"px\";this.bar.title=title;return false};CustomTime.prototype.hide=function(){if(this.bar.parentNode){this.bar.parentNode.removeChild(this.bar)}};CustomTime.prototype.setCustomTime=function(time){this.customTime=util.convert(time,\"Date\");this.redraw()};CustomTime.prototype.getCustomTime=function(){return new Date(this.customTime.valueOf())};CustomTime.prototype.setCustomTitle=function(title){this.options.title=title};CustomTime.prototype._onDragStart=function(event){this.eventParams.dragging=true;this.eventParams.customTime=this.customTime;event.stopPropagation()};CustomTime.prototype._onDrag=function(event){if(!this.eventParams.dragging)return;var x=this.body.util.toScreen(this.eventParams.customTime)+event.deltaX;var time=this.body.util.toTime(x);this.setCustomTime(time);this.body.emitter.emit(\"timechange\",{id:this.options.id,time:new Date(this.customTime.valueOf()),event:event});event.stopPropagation()};CustomTime.prototype._onDragEnd=function(event){if(!this.eventParams.dragging)return;this.body.emitter.emit(\"timechanged\",{id:this.options.id,time:new Date(this.customTime.valueOf()),event:event});event.stopPropagation()};CustomTime.customTimeFromTarget=function(event){var target=event.target;while(target){if(target.hasOwnProperty(\"custom-time\")){return target[\"custom-time\"]}target=target.parentNode}return null};module.exports=CustomTime},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Label=__webpack_require__(117)[\"default\"];var ComponentUtil=__webpack_require__(48)[\"default\"];var Box=__webpack_require__(193)[\"default\"];var Circle=__webpack_require__(200)[\"default\"];var CircularImage=__webpack_require__(201)[\"default\"];var Database=__webpack_require__(202)[\"default\"];var Diamond=__webpack_require__(203)[\"default\"];var Dot=__webpack_require__(204)[\"default\"];var Ellipse=__webpack_require__(205)[\"default\"];var Icon=__webpack_require__(206)[\"default\"];var Image=__webpack_require__(207)[\"default\"];var Square=__webpack_require__(208)[\"default\"];var Hexagon=__webpack_require__(209)[\"default\"];var Star=__webpack_require__(210)[\"default\"];var Text=__webpack_require__(211)[\"default\"];var Triangle=__webpack_require__(212)[\"default\"];var TriangleDown=__webpack_require__(213)[\"default\"];var _require=__webpack_require__(15),printStyle=_require.printStyle;var Node=function(){function Node(options,body,imagelist,grouplist,globalOptions,defaultOptions){(0,_classCallCheck3[\"default\"])(this,Node);this.options=util.bridgeObject(globalOptions);this.globalOptions=globalOptions;this.defaultOptions=defaultOptions;this.body=body;this.edges=[];this.id=undefined;this.imagelist=imagelist;this.grouplist=grouplist;this.x=undefined;this.y=undefined;this.baseSize=this.options.size;this.baseFontSize=this.options.font.size;this.predefinedPosition=false;this.selected=false;this.hover=false;this.labelModule=new Label(this.body,this.options,false);this.setOptions(options)}(0,_createClass3[\"default\"])(Node,[{key:\"attachEdge\",value:function attachEdge(edge){if(this.edges.indexOf(edge)===-1){this.edges.push(edge)}}},{key:\"detachEdge\",value:function detachEdge(edge){var index=this.edges.indexOf(edge);if(index!=-1){this.edges.splice(index,1)}}},{key:\"setOptions\",value:function setOptions(options){var currentShape=this.options.shape;if(!options){return}if(options.id!==undefined){this.id=options.id}if(this.id===undefined){throw new Error(\"Node must have an id\")}Node.checkMass(options,this.id);if(options.x!==undefined){if(options.x===null){this.x=undefined;this.predefinedPosition=false}else{this.x=parseInt(options.x);this.predefinedPosition=true}}if(options.y!==undefined){if(options.y===null){this.y=undefined;this.predefinedPosition=false}else{this.y=parseInt(options.y);this.predefinedPosition=true}}if(options.size!==undefined){this.baseSize=options.size}if(options.value!==undefined){options.value=parseFloat(options.value)}Node.parseOptions(this.options,options,true,this.globalOptions,this.grouplist);var pile=[options,this.options,this.defaultOptions];this.chooser=ComponentUtil.choosify(\"node\",pile);this._load_images();this.updateLabelModule(options);this.updateShape(currentShape);return options.hidden!==undefined||options.physics!==undefined}},{key:\"_load_images\",value:function _load_images(){if(this.options.shape!==\"circularImage\"&&this.options.shape!==\"image\"){return}if(this.options.image===undefined){throw new Error(\"Option image must be defined for node type '\"+this.options.shape+\"'\")}if(this.imagelist===undefined){throw new Error(\"Internal Error: No images provided\")}if(typeof this.options.image===\"string\"){this.imageObj=this.imagelist.load(this.options.image,this.options.brokenImage,this.id)}else{if(this.options.image.unselected===undefined){throw new Error(\"No unselected image provided\")}this.imageObj=this.imagelist.load(this.options.image.unselected,this.options.brokenImage,this.id);if(this.options.image.selected!==undefined){this.imageObjAlt=this.imagelist.load(this.options.image.selected,this.options.brokenImage,this.id)}else{this.imageObjAlt=undefined}}}},{key:\"getFormattingValues\",value:function getFormattingValues(){var values={color:this.options.color.background,borderWidth:this.options.borderWidth,borderColor:this.options.color.border,size:this.options.size,borderDashes:this.options.shapeProperties.borderDashes,borderRadius:this.options.shapeProperties.borderRadius,shadow:this.options.shadow.enabled,shadowColor:this.options.shadow.color,shadowSize:this.options.shadow.size,shadowX:this.options.shadow.x,shadowY:this.options.shadow.y};if(this.selected||this.hover){if(this.chooser===true){if(this.selected){values.borderWidth*=2;values.color=this.options.color.highlight.background;values.borderColor=this.options.color.highlight.border;values.shadow=this.options.shadow.enabled}else if(this.hover){values.color=this.options.color.hover.background;values.borderColor=this.options.color.hover.border;values.shadow=this.options.shadow.enabled}}else if(typeof this.chooser===\"function\"){this.chooser(values,this.options.id,this.selected,this.hover);if(values.shadow===false){if(values.shadowColor!==this.options.shadow.color||values.shadowSize!==this.options.shadow.size||values.shadowX!==this.options.shadow.x||values.shadowY!==this.options.shadow.y){values.shadow=true}}}}else{values.shadow=this.options.shadow.enabled}return values}},{key:\"updateLabelModule\",value:function updateLabelModule(options){if(this.options.label===undefined||this.options.label===null){this.options.label=\"\"}Node.updateGroupOptions(this.options,options,this.grouplist);var currentGroup=this.grouplist.get(this.options.group,false);var pile=[options,this.options,currentGroup,this.globalOptions,this.defaultOptions];this.labelModule.update(this.options,pile);if(this.labelModule.baseSize!==undefined){this.baseFontSize=this.labelModule.baseSize}}},{key:\"updateShape\",value:function updateShape(currentShape){if(currentShape===this.options.shape&&this.shape){this.shape.setOptions(this.options,this.imageObj,this.imageObjAlt)}else{switch(this.options.shape){case\"box\":this.shape=new Box(this.options,this.body,this.labelModule);break;case\"circle\":this.shape=new Circle(this.options,this.body,this.labelModule);break;case\"circularImage\":this.shape=new CircularImage(this.options,this.body,this.labelModule,this.imageObj,this.imageObjAlt);break;case\"database\":this.shape=new Database(this.options,this.body,this.labelModule);break;case\"diamond\":this.shape=new Diamond(this.options,this.body,this.labelModule);break;case\"dot\":this.shape=new Dot(this.options,this.body,this.labelModule);break;case\"ellipse\":this.shape=new Ellipse(this.options,this.body,this.labelModule);break;case\"icon\":this.shape=new Icon(this.options,this.body,this.labelModule);break;case\"image\":this.shape=new Image(this.options,this.body,this.labelModule,this.imageObj,this.imageObjAlt);break;case\"square\":this.shape=new Square(this.options,this.body,this.labelModule);break;case\"hexagon\":this.shape=new Hexagon(this.options,this.body,this.labelModule);break;case\"star\":this.shape=new Star(this.options,this.body,this.labelModule);break;case\"text\":this.shape=new Text(this.options,this.body,this.labelModule);break;case\"triangle\":this.shape=new Triangle(this.options,this.body,this.labelModule);break;case\"triangleDown\":this.shape=new TriangleDown(this.options,this.body,this.labelModule);break;default:this.shape=new Ellipse(this.options,this.body,this.labelModule);break}}this.needsRefresh()}},{key:\"select\",value:function select(){this.selected=true;this.needsRefresh()}},{key:\"unselect\",value:function unselect(){this.selected=false;this.needsRefresh()}},{key:\"needsRefresh\",value:function needsRefresh(){this.shape.refreshNeeded=true}},{key:\"getTitle\",value:function getTitle(){return this.options.title}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this.shape.distanceToBorder(ctx,angle)}},{key:\"isFixed\",value:function isFixed(){return this.options.fixed.x&&this.options.fixed.y}},{key:\"isSelected\",value:function isSelected(){return this.selected}},{key:\"getValue\",value:function getValue(){return this.options.value}},{key:\"getLabelSize\",value:function getLabelSize(){return this.labelModule.size()}},{key:\"setValueRange\",value:function setValueRange(min,max,total){if(this.options.value!==undefined){var scale=this.options.scaling.customScalingFunction(min,max,total,this.options.value);var sizeDiff=this.options.scaling.max-this.options.scaling.min;if(this.options.scaling.label.enabled===true){var fontDiff=this.options.scaling.label.max-this.options.scaling.label.min;this.options.font.size=this.options.scaling.label.min+scale*fontDiff}this.options.size=this.options.scaling.min+scale*sizeDiff}else{this.options.size=this.baseSize;this.options.font.size=this.baseFontSize}this.updateLabelModule()}},{key:\"draw\",value:function draw(ctx){var values=this.getFormattingValues();this.shape.draw(ctx,this.x,this.y,this.selected,this.hover,values)}},{key:\"updateBoundingBox\",value:function updateBoundingBox(ctx){this.shape.updateBoundingBox(this.x,this.y,ctx)}},{key:\"resize\",value:function resize(ctx){var values=this.getFormattingValues();this.shape.resize(ctx,this.selected,this.hover,values)}},{key:\"getItemsOnPoint\",value:function getItemsOnPoint(point){var ret=[];if(this.labelModule.visible()){if(ComponentUtil.pointInRect(this.labelModule.getSize(),point)){ret.push({nodeId:this.id,labelId:0})}}if(ComponentUtil.pointInRect(this.shape.boundingBox,point)){ret.push({nodeId:this.id})}return ret}},{key:\"isOverlappingWith\",value:function isOverlappingWith(obj){return this.shape.left<obj.right&&this.shape.left+this.shape.width>obj.left&&this.shape.top<obj.bottom&&this.shape.top+this.shape.height>obj.top}},{key:\"isBoundingBoxOverlappingWith\",value:function isBoundingBoxOverlappingWith(obj){return this.shape.boundingBox.left<obj.right&&this.shape.boundingBox.right>obj.left&&this.shape.boundingBox.top<obj.bottom&&this.shape.boundingBox.bottom>obj.top}}],[{key:\"updateGroupOptions\",value:function updateGroupOptions(parentOptions,newOptions,groupList){if(groupList===undefined)return;var group=parentOptions.group;if(newOptions!==undefined&&newOptions.group!==undefined&&group!==newOptions.group){throw new Error(\"updateGroupOptions: group values in options don't match.\")}var hasGroup=typeof group===\"number\"||typeof group===\"string\"&&group!=\"\";if(!hasGroup)return;var groupObj=groupList.get(group);util.selectiveNotDeepExtend([\"font\"],parentOptions,groupObj);parentOptions.color=util.parseColor(parentOptions.color)}},{key:\"parseOptions\",value:function parseOptions(parentOptions,newOptions){var allowDeletion=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;var globalOptions=arguments.length>3&&arguments[3]!==undefined?arguments[3]:{};var groupList=arguments[4];var fields=[\"color\",\"fixed\",\"shadow\"];util.selectiveNotDeepExtend(fields,parentOptions,newOptions,allowDeletion);Node.checkMass(newOptions);util.mergeOptions(parentOptions,newOptions,\"shadow\",globalOptions);if(newOptions.color!==undefined&&newOptions.color!==null){var parsedColor=util.parseColor(newOptions.color);util.fillIfDefined(parentOptions.color,parsedColor)}else if(allowDeletion===true&&newOptions.color===null){parentOptions.color=util.bridgeObject(globalOptions.color)}if(newOptions.fixed!==undefined&&newOptions.fixed!==null){if(typeof newOptions.fixed===\"boolean\"){parentOptions.fixed.x=newOptions.fixed;parentOptions.fixed.y=newOptions.fixed}else{if(newOptions.fixed.x!==undefined&&typeof newOptions.fixed.x===\"boolean\"){parentOptions.fixed.x=newOptions.fixed.x}if(newOptions.fixed.y!==undefined&&typeof newOptions.fixed.y===\"boolean\"){parentOptions.fixed.y=newOptions.fixed.y}}}if(allowDeletion===true&&newOptions.font===null){parentOptions.font=util.bridgeObject(globalOptions.font)}Node.updateGroupOptions(parentOptions,newOptions,groupList);if(newOptions.scaling!==undefined){util.mergeOptions(parentOptions.scaling,newOptions.scaling,\"label\",globalOptions.scaling)}}},{key:\"checkMass\",value:function checkMass(options,id){if(options.mass!==undefined&&options.mass<=0){var strId=\"\";if(id!==undefined){strId=\" in node id: \"+id}console.log(\"%cNegative or zero mass disallowed\"+strId+\", setting mass to 1.\",printStyle);options.mass=1}}}]);return Node}();exports[\"default\"]=Node},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var ComponentUtil=function(){function ComponentUtil(){(0,_classCallCheck3[\"default\"])(this,ComponentUtil)}(0,_createClass3[\"default\"])(ComponentUtil,null,[{key:\"choosify\",value:function choosify(subOption,pile){var allowed=[\"node\",\"edge\",\"label\"];var value=true;var chosen=util.topMost(pile,\"chosen\");if(typeof chosen===\"boolean\"){value=chosen}else if((typeof chosen===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(chosen))===\"object\"){if(allowed.indexOf(subOption)===-1){throw new Error(\"choosify: subOption '\"+subOption+\"' should be one of \"+\"'\"+allowed.join(\"', '\")+\"'\")}var chosenEdge=util.topMost(pile,[\"chosen\",subOption]);if(typeof chosenEdge===\"boolean\"||typeof chosenEdge===\"function\"){value=chosenEdge}}return value}},{key:\"pointInRect\",value:function pointInRect(rect,point,rotationPoint){if(rect.width<=0||rect.height<=0){return false}if(rotationPoint!==undefined){var tmp={x:point.x-rotationPoint.x,y:point.y-rotationPoint.y};if(rotationPoint.angle!==0){var angle=-rotationPoint.angle;var tmp2={x:Math.cos(angle)*tmp.x-Math.sin(angle)*tmp.y,y:Math.sin(angle)*tmp.x+Math.cos(angle)*tmp.y};point=tmp2}else{point=tmp}}var right=rect.x+rect.width;var bottom=rect.y+rect.width;return rect.left<point.x&&right>point.x&&rect.top<point.y&&bottom>point.y}},{key:\"isValidLabel\",value:function isValidLabel(text){return typeof text===\"string\"&&text!==\"\"}}]);return ComponentUtil}();exports[\"default\"]=ComponentUtil},function(module,exports,__webpack_require__){__webpack_require__(125);var global=__webpack_require__(18);var hide=__webpack_require__(26);var Iterators=__webpack_require__(31);var TO_STRING_TAG=__webpack_require__(13)(\"toStringTag\");var DOMIterables=(\"CSSRuleList,CSSStyleDeclaration,CSSValueList,ClientRectList,DOMRectList,DOMStringList,\"+\"DOMTokenList,DataTransferItemList,FileList,HTMLAllCollection,HTMLCollection,HTMLFormElement,HTMLSelectElement,\"+\"MediaList,MimeTypeArray,NamedNodeMap,NodeList,PaintRequestList,Plugin,PluginArray,SVGLengthList,SVGNumberList,\"+\"SVGPathSegList,SVGPointList,SVGStringList,SVGTransformList,SourceBufferList,StyleSheetList,TextTrackCueList,\"+\"TextTrackList,TouchList\").split(\",\");for(var i=0;i<DOMIterables.length;i++){var NAME=DOMIterables[i];var Collection=global[NAME];var proto=Collection&&Collection.prototype;if(proto&&!proto[TO_STRING_TAG])hide(proto,TO_STRING_TAG,NAME);Iterators[NAME]=Iterators.Array}},function(module,exports){var toString={}.toString;module.exports=function(it){return toString.call(it).slice(8,-1)}},function(module,exports){module.exports=function(it){if(it==undefined)throw TypeError(\"Can't call method on  \"+it);return it}},function(module,exports){module.exports=true},function(module,exports,__webpack_require__){var isObject=__webpack_require__(32);module.exports=function(it,S){if(!isObject(it))return it;var fn,val;if(S&&typeof(fn=it.toString)==\"function\"&&!isObject(val=fn.call(it)))return val;if(typeof(fn=it.valueOf)==\"function\"&&!isObject(val=fn.call(it)))return val;if(!S&&typeof(fn=it.toString)==\"function\"&&!isObject(val=fn.call(it)))return val;throw TypeError(\"Can't convert object to primitive value\")}},function(module,exports,__webpack_require__){var anObject=__webpack_require__(27);var dPs=__webpack_require__(130);var enumBugKeys=__webpack_require__(58);var IE_PROTO=__webpack_require__(56)(\"IE_PROTO\")\n;var Empty=function(){};var PROTOTYPE=\"prototype\";var createDict=function(){var iframe=__webpack_require__(82)(\"iframe\");var i=enumBugKeys.length;var lt=\"<\";var gt=\">\";var iframeDocument;iframe.style.display=\"none\";__webpack_require__(134).appendChild(iframe);iframe.src=\"javascript:\";iframeDocument=iframe.contentWindow.document;iframeDocument.open();iframeDocument.write(lt+\"script\"+gt+\"document.F=Object\"+lt+\"/script\"+gt);iframeDocument.close();createDict=iframeDocument.F;while(i--)delete createDict[PROTOTYPE][enumBugKeys[i]];return createDict()};module.exports=Object.create||function create(O,Properties){var result;if(O!==null){Empty[PROTOTYPE]=anObject(O);result=new Empty;Empty[PROTOTYPE]=null;result[IE_PROTO]=O}else result=createDict();return Properties===undefined?result:dPs(result,Properties)}},function(module,exports){var ceil=Math.ceil;var floor=Math.floor;module.exports=function(it){return isNaN(it=+it)?0:(it>0?floor:ceil)(it)}},function(module,exports,__webpack_require__){var shared=__webpack_require__(57)(\"keys\");var uid=__webpack_require__(40);module.exports=function(key){return shared[key]||(shared[key]=uid(key))}},function(module,exports,__webpack_require__){var global=__webpack_require__(18);var SHARED=\"__core-js_shared__\";var store=global[SHARED]||(global[SHARED]={});module.exports=function(key){return store[key]||(store[key]={})}},function(module,exports){module.exports=\"constructor,hasOwnProperty,isPrototypeOf,propertyIsEnumerable,toLocaleString,toString,valueOf\".split(\",\")},function(module,exports,__webpack_require__){var def=__webpack_require__(20).f;var has=__webpack_require__(22);var TAG=__webpack_require__(13)(\"toStringTag\");module.exports=function(it,tag,stat){if(it&&!has(it=stat?it:it.prototype,TAG))def(it,TAG,{configurable:true,value:tag})}},function(module,exports,__webpack_require__){\"use strict\";var $at=__webpack_require__(135)(true);__webpack_require__(79)(String,\"String\",function(iterated){this._t=String(iterated);this._i=0},function(){var O=this._t;var index=this._i;var point;if(index>=O.length)return{value:undefined,done:true};point=$at(O,index);this._i+=point.length;return{value:point,done:false}})},function(module,exports,__webpack_require__){exports.f=__webpack_require__(13)},function(module,exports,__webpack_require__){var global=__webpack_require__(18);var core=__webpack_require__(7);var LIBRARY=__webpack_require__(52);var wksExt=__webpack_require__(61);var defineProperty=__webpack_require__(20).f;module.exports=function(name){var $Symbol=core.Symbol||(core.Symbol=LIBRARY?{}:global.Symbol||{});if(name.charAt(0)!=\"_\"&&!(name in $Symbol))defineProperty($Symbol,name,{value:wksExt.f(name)})}},function(module,exports){exports.f=Object.getOwnPropertySymbols},function(module,exports,__webpack_require__){\"use strict\";var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);var _stringify=__webpack_require__(19);var _stringify2=_interopRequireDefault(_stringify);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var moment=__webpack_require__(9);var Component=__webpack_require__(16);var DateUtil=__webpack_require__(36);function Range(body,options){var now=moment().hours(0).minutes(0).seconds(0).milliseconds(0);var start=now.clone().add(-3,\"days\").valueOf();var end=now.clone().add(3,\"days\").valueOf();this.millisecondsPerPixelCache=undefined;if(options===undefined){this.start=start;this.end=end}else{this.start=options.start||start;this.end=options.end||end}this.rolling=false;this.body=body;this.deltaDifference=0;this.scaleOffset=0;this.startToFront=false;this.endToFront=true;this.defaultOptions={rtl:false,start:null,end:null,moment:moment,direction:\"horizontal\",moveable:true,zoomable:true,min:null,max:null,zoomMin:10,zoomMax:1e3*60*60*24*365*1e4,rollingMode:{follow:false,offset:.5}};this.options=util.extend({},this.defaultOptions);this.props={touch:{}};this.animationTimer=null;this.body.emitter.on(\"panstart\",this._onDragStart.bind(this));this.body.emitter.on(\"panmove\",this._onDrag.bind(this));this.body.emitter.on(\"panend\",this._onDragEnd.bind(this));this.body.emitter.on(\"mousewheel\",this._onMouseWheel.bind(this));this.body.emitter.on(\"touch\",this._onTouch.bind(this));this.body.emitter.on(\"pinch\",this._onPinch.bind(this));this.body.dom.rollingModeBtn.addEventListener(\"click\",this.startRolling.bind(this));this.setOptions(options)}Range.prototype=new Component;Range.prototype.setOptions=function(options){if(options){var fields=[\"animation\",\"direction\",\"min\",\"max\",\"zoomMin\",\"zoomMax\",\"moveable\",\"zoomable\",\"moment\",\"activate\",\"hiddenDates\",\"zoomKey\",\"rtl\",\"showCurrentTime\",\"rollingMode\",\"horizontalScroll\"];util.selectiveExtend(fields,this.options,options);if(options.rollingMode&&options.rollingMode.follow){this.startRolling()}if(\"start\"in options||\"end\"in options){this.setRange(options.start,options.end)}}};function validateDirection(direction){if(direction!=\"horizontal\"&&direction!=\"vertical\"){throw new TypeError('Unknown direction \"'+direction+'\". '+'Choose \"horizontal\" or \"vertical\".')}}Range.prototype.startRolling=function(){var me=this;function update(){me.stopRolling();me.rolling=true;var interval=me.end-me.start;var t=util.convert(new Date,\"Date\").valueOf();var start=t-interval*me.options.rollingMode.offset;var end=t+interval*(1-me.options.rollingMode.offset);var options={animation:false};me.setRange(start,end,options);var scale=me.conversion(me.body.domProps.center.width).scale;interval=1/scale/10;if(interval<30)interval=30;if(interval>1e3)interval=1e3;me.body.dom.rollingModeBtn.style.visibility=\"hidden\";me.currentTimeTimer=setTimeout(update,interval)}update()};Range.prototype.stopRolling=function(){if(this.currentTimeTimer!==undefined){clearTimeout(this.currentTimeTimer);this.rolling=false;this.body.dom.rollingModeBtn.style.visibility=\"visible\"}};Range.prototype.setRange=function(start,end,options,callback,frameCallback){if(!options){options={}}if(options.byUser!==true){options.byUser=false}var me=this;var finalStart=start!=undefined?util.convert(start,\"Date\").valueOf():null;var finalEnd=end!=undefined?util.convert(end,\"Date\").valueOf():null;this._cancelAnimation();this.millisecondsPerPixelCache=undefined;if(options.animation){var initStart=this.start;var initEnd=this.end;var duration=(0,_typeof3[\"default\"])(options.animation)===\"object\"&&\"duration\"in options.animation?options.animation.duration:500;var easingName=(0,_typeof3[\"default\"])(options.animation)===\"object\"&&\"easingFunction\"in options.animation?options.animation.easingFunction:\"easeInOutQuad\";var easingFunction=util.easingFunctions[easingName];if(!easingFunction){throw new Error(\"Unknown easing function \"+(0,_stringify2[\"default\"])(easingName)+\". \"+\"Choose from: \"+(0,_keys2[\"default\"])(util.easingFunctions).join(\", \"))}var initTime=(new Date).valueOf();var anyChanged=false;var next=function next(){if(!me.props.touch.dragging){var now=(new Date).valueOf();var time=now-initTime;var ease=easingFunction(time/duration);var done=time>duration;var s=done||finalStart===null?finalStart:initStart+(finalStart-initStart)*ease;var e=done||finalEnd===null?finalEnd:initEnd+(finalEnd-initEnd)*ease;changed=me._applyRange(s,e);DateUtil.updateHiddenDates(me.options.moment,me.body,me.options.hiddenDates);anyChanged=anyChanged||changed;var params={start:new Date(me.start),end:new Date(me.end),byUser:options.byUser,event:options.event};if(frameCallback){frameCallback(ease,changed,done)}if(changed){me.body.emitter.emit(\"rangechange\",params)}if(done){if(anyChanged){me.body.emitter.emit(\"rangechanged\",params);if(callback){return callback()}}}else{me.animationTimer=setTimeout(next,20)}}};return next()}else{var changed=this._applyRange(finalStart,finalEnd);DateUtil.updateHiddenDates(this.options.moment,this.body,this.options.hiddenDates);if(changed){var params={start:new Date(this.start),end:new Date(this.end),byUser:options.byUser,event:options.event};this.body.emitter.emit(\"rangechange\",params);clearTimeout(me.timeoutID);me.timeoutID=setTimeout(function(){me.body.emitter.emit(\"rangechanged\",params)},200);if(callback){return callback()}}}};Range.prototype.getMillisecondsPerPixel=function(){if(this.millisecondsPerPixelCache===undefined){this.millisecondsPerPixelCache=(this.end-this.start)/this.body.dom.center.clientWidth}return this.millisecondsPerPixelCache};Range.prototype._cancelAnimation=function(){if(this.animationTimer){clearTimeout(this.animationTimer);this.animationTimer=null}};Range.prototype._applyRange=function(start,end){var newStart=start!=null?util.convert(start,\"Date\").valueOf():this.start,newEnd=end!=null?util.convert(end,\"Date\").valueOf():this.end,max=this.options.max!=null?util.convert(this.options.max,\"Date\").valueOf():null,min=this.options.min!=null?util.convert(this.options.min,\"Date\").valueOf():null,diff;if(isNaN(newStart)||newStart===null){throw new Error('Invalid start \"'+start+'\"')}if(isNaN(newEnd)||newEnd===null){throw new Error('Invalid end \"'+end+'\"')}if(newEnd<newStart){newEnd=newStart}if(min!==null){if(newStart<min){diff=min-newStart;newStart+=diff;newEnd+=diff;if(max!=null){if(newEnd>max){newEnd=max}}}}if(max!==null){if(newEnd>max){diff=newEnd-max;newStart-=diff;newEnd-=diff;if(min!=null){if(newStart<min){newStart=min}}}}if(this.options.zoomMin!==null){var zoomMin=parseFloat(this.options.zoomMin);if(zoomMin<0){zoomMin=0}if(newEnd-newStart<zoomMin){var compensation=.5;if(this.end-this.start===zoomMin&&newStart>=this.start-compensation&&newEnd<=this.end){newStart=this.start;newEnd=this.end}else{diff=zoomMin-(newEnd-newStart);newStart-=diff/2;newEnd+=diff/2}}}if(this.options.zoomMax!==null){var zoomMax=parseFloat(this.options.zoomMax);if(zoomMax<0){zoomMax=0}if(newEnd-newStart>zoomMax){if(this.end-this.start===zoomMax&&newStart<this.start&&newEnd>this.end){newStart=this.start;newEnd=this.end}else{diff=newEnd-newStart-zoomMax;newStart+=diff/2;newEnd-=diff/2}}}var changed=this.start!=newStart||this.end!=newEnd;if(!(newStart>=this.start&&newStart<=this.end||newEnd>=this.start&&newEnd<=this.end)&&!(this.start>=newStart&&this.start<=newEnd||this.end>=newStart&&this.end<=newEnd)){this.body.emitter.emit(\"checkRangedItems\")}this.start=newStart;this.end=newEnd;return changed};Range.prototype.getRange=function(){return{start:this.start,end:this.end}};Range.prototype.conversion=function(width,totalHidden){return Range.conversion(this.start,this.end,width,totalHidden)};Range.conversion=function(start,end,width,totalHidden){if(totalHidden===undefined){totalHidden=0}if(width!=0&&end-start!=0){return{offset:start,scale:width/(end-start-totalHidden)}}else{return{offset:0,scale:1}}};Range.prototype._onDragStart=function(event){this.deltaDifference=0;this.previousDelta=0;if(!this.options.moveable)return;if(!this._isInsideRange(event))return;if(!this.props.touch.allowDragging)return;this.stopRolling();this.props.touch.start=this.start;this.props.touch.end=this.end;this.props.touch.dragging=true;if(this.body.dom.root){this.body.dom.root.style.cursor=\"move\"}};Range.prototype._onDrag=function(event){if(!event)return;if(!this.props.touch.dragging)return;if(!this.options.moveable)return;if(!this.props.touch.allowDragging)return;var direction=this.options.direction;validateDirection(direction);var delta=direction==\"horizontal\"?event.deltaX:event.deltaY;delta-=this.deltaDifference;var interval=this.props.touch.end-this.props.touch.start;var duration=DateUtil.getHiddenDurationBetween(this.body.hiddenDates,this.start,this.end);interval-=duration;var width=direction==\"horizontal\"?this.body.domProps.center.width:this.body.domProps.center.height;var diffRange;if(this.options.rtl){diffRange=delta/width*interval}else{diffRange=-delta/width*interval}var newStart=this.props.touch.start+diffRange;var newEnd=this.props.touch.end+diffRange;var safeStart=DateUtil.snapAwayFromHidden(this.body.hiddenDates,newStart,this.previousDelta-delta,true);var safeEnd=DateUtil.snapAwayFromHidden(this.body.hiddenDates,newEnd,this.previousDelta-delta,true);if(safeStart!=newStart||safeEnd!=newEnd){this.deltaDifference+=delta;this.props.touch.start=safeStart;this.props.touch.end=safeEnd;this._onDrag(event);return}this.previousDelta=delta;this._applyRange(newStart,newEnd);var startDate=new Date(this.start);var endDate=new Date(this.end);this.body.emitter.emit(\"rangechange\",{start:startDate,end:endDate,byUser:true,event:event});this.body.emitter.emit(\"panmove\")};Range.prototype._onDragEnd=function(event){if(!this.props.touch.dragging)return;if(!this.options.moveable)return;if(!this.props.touch.allowDragging)return;this.props.touch.dragging=false;if(this.body.dom.root){this.body.dom.root.style.cursor=\"auto\"}this.body.emitter.emit(\"rangechanged\",{start:new Date(this.start),end:new Date(this.end),byUser:true,event:event})};Range.prototype._onMouseWheel=function(event){var delta=0;if(event.wheelDelta){delta=event.wheelDelta/120}else if(event.detail){delta=-event.detail/3}if(this.options.zoomKey&&!event[this.options.zoomKey]&&this.options.zoomable||!this.options.zoomable&&this.options.moveable){return}if(!(this.options.zoomable&&this.options.moveable))return;if(!this._isInsideRange(event))return;if(delta){var scale;if(delta<0){scale=1-delta/5}else{scale=1/(1+delta/5)}var pointerDate;if(this.rolling){pointerDate=this.start+(this.end-this.start)*this.options.rollingMode.offset}else{var pointer=this.getPointer({x:event.clientX,y:event.clientY},this.body.dom.center);pointerDate=this._pointerToDate(pointer)}this.zoom(scale,pointerDate,delta,event);event.preventDefault()}};Range.prototype._onTouch=function(event){this.props.touch.start=this.start;this.props.touch.end=this.end;this.props.touch.allowDragging=true;this.props.touch.center=null;this.scaleOffset=0;this.deltaDifference=0;util.preventDefault(event)};Range.prototype._onPinch=function(event){if(!(this.options.zoomable&&this.options.moveable))return;util.preventDefault(event);this.props.touch.allowDragging=false;if(!this.props.touch.center){this.props.touch.center=this.getPointer(event.center,this.body.dom.center)}this.stopRolling();var scale=1/(event.scale+this.scaleOffset);var centerDate=this._pointerToDate(this.props.touch.center);var hiddenDuration=DateUtil.getHiddenDurationBetween(this.body.hiddenDates,this.start,this.end);var hiddenDurationBefore=DateUtil.getHiddenDurationBefore(this.options.moment,this.body.hiddenDates,this,centerDate);var hiddenDurationAfter=hiddenDuration-hiddenDurationBefore;var newStart=centerDate-hiddenDurationBefore+(this.props.touch.start-(centerDate-hiddenDurationBefore))*scale;var newEnd=centerDate+hiddenDurationAfter+(this.props.touch.end-(centerDate+hiddenDurationAfter))*scale;this.startToFront=1-scale<=0;this.endToFront=scale-1<=0;var safeStart=DateUtil.snapAwayFromHidden(this.body.hiddenDates,newStart,1-scale,true);var safeEnd=DateUtil.snapAwayFromHidden(this.body.hiddenDates,newEnd,scale-1,true);if(safeStart!=newStart||safeEnd!=newEnd){this.props.touch.start=safeStart;this.props.touch.end=safeEnd;this.scaleOffset=1-event.scale;newStart=safeStart;newEnd=safeEnd}var options={animation:false,byUser:true,event:event};this.setRange(newStart,newEnd,options);this.startToFront=false;this.endToFront=true};Range.prototype._isInsideRange=function(event){var clientX=event.center?event.center.x:event.clientX;var x;if(this.options.rtl){x=clientX-util.getAbsoluteLeft(this.body.dom.centerContainer)}else{x=util.getAbsoluteRight(this.body.dom.centerContainer)-clientX}var time=this.body.util.toTime(x);return time>=this.start&&time<=this.end};Range.prototype._pointerToDate=function(pointer){var conversion;var direction=this.options.direction;validateDirection(direction);if(direction==\"horizontal\"){return this.body.util.toTime(pointer.x).valueOf()}else{var height=this.body.domProps.center.height;conversion=this.conversion(height);return pointer.y/conversion.scale+conversion.offset}};Range.prototype.getPointer=function(touch,element){if(this.options.rtl){return{x:util.getAbsoluteRight(element)-touch.x,y:touch.y-util.getAbsoluteTop(element)}}else{return{x:touch.x-util.getAbsoluteLeft(element),y:touch.y-util.getAbsoluteTop(element)}}};Range.prototype.zoom=function(scale,center,delta,event){if(center==null){center=(this.start+this.end)/2}var hiddenDuration=DateUtil.getHiddenDurationBetween(this.body.hiddenDates,this.start,this.end);var hiddenDurationBefore=DateUtil.getHiddenDurationBefore(this.options.moment,this.body.hiddenDates,this,center);var hiddenDurationAfter=hiddenDuration-hiddenDurationBefore;var newStart=center-hiddenDurationBefore+(this.start-(center-hiddenDurationBefore))*scale;var newEnd=center+hiddenDurationAfter+(this.end-(center+hiddenDurationAfter))*scale;this.startToFront=delta>0?false:true;this.endToFront=-delta>0?false:true;var safeStart=DateUtil.snapAwayFromHidden(this.body.hiddenDates,newStart,delta,true);var safeEnd=DateUtil.snapAwayFromHidden(this.body.hiddenDates,newEnd,-delta,true);if(safeStart!=newStart||safeEnd!=newEnd){newStart=safeStart;newEnd=safeEnd}var options={animation:false,byUser:true,event:event};this.setRange(newStart,newEnd,options);this.startToFront=false;this.endToFront=true};Range.prototype.move=function(delta){var diff=this.end-this.start;var newStart=this.start+diff*delta;var newEnd=this.end+diff*delta;this.start=newStart;this.end=newEnd};Range.prototype.moveTo=function(moveTo){var center=(this.start+this.end)/2;var diff=center-moveTo;var newStart=this.start-diff;var newEnd=this.end-diff;var options={animation:false,byUser:true,event:null};this.setRange(newStart,newEnd,options)};module.exports=Range},function(module,exports,__webpack_require__){\"use strict\";var _stringify=__webpack_require__(19);var _stringify2=_interopRequireDefault(_stringify);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Emitter=__webpack_require__(44);var Hammer=__webpack_require__(10);var hammerUtil=__webpack_require__(37);var util=__webpack_require__(2);var TimeAxis=__webpack_require__(45);var Activator=__webpack_require__(97);var DateUtil=__webpack_require__(36);var CustomTime=__webpack_require__(46);function Core(){}Emitter(Core.prototype);Core.prototype._create=function(container){this.dom={};this.dom.container=container;this.dom.root=document.createElement(\"div\");this.dom.background=document.createElement(\"div\");this.dom.backgroundVertical=document.createElement(\"div\");this.dom.backgroundHorizontal=document.createElement(\"div\");this.dom.centerContainer=document.createElement(\"div\");this.dom.leftContainer=document.createElement(\"div\");this.dom.rightContainer=document.createElement(\"div\");this.dom.center=document.createElement(\"div\");this.dom.left=document.createElement(\"div\");this.dom.right=document.createElement(\"div\");this.dom.top=document.createElement(\"div\");this.dom.bottom=document.createElement(\"div\");this.dom.shadowTop=document.createElement(\"div\");this.dom.shadowBottom=document.createElement(\"div\");this.dom.shadowTopLeft=document.createElement(\"div\");this.dom.shadowBottomLeft=document.createElement(\"div\");this.dom.shadowTopRight=document.createElement(\"div\");this.dom.shadowBottomRight=document.createElement(\"div\");this.dom.rollingModeBtn=document.createElement(\"div\");this.dom.root.className=\"vis-timeline\";this.dom.background.className=\"vis-panel vis-background\";this.dom.backgroundVertical.className=\"vis-panel vis-background vis-vertical\";this.dom.backgroundHorizontal.className=\"vis-panel vis-background vis-horizontal\";this.dom.centerContainer.className=\"vis-panel vis-center\";this.dom.leftContainer.className=\"vis-panel vis-left\";this.dom.rightContainer.className=\"vis-panel vis-right\";this.dom.top.className=\"vis-panel vis-top\";this.dom.bottom.className=\"vis-panel vis-bottom\";this.dom.left.className=\"vis-content\";this.dom.center.className=\"vis-content\";this.dom.right.className=\"vis-content\";this.dom.shadowTop.className=\"vis-shadow vis-top\";this.dom.shadowBottom.className=\"vis-shadow vis-bottom\";this.dom.shadowTopLeft.className=\"vis-shadow vis-top\";this.dom.shadowBottomLeft.className=\"vis-shadow vis-bottom\";this.dom.shadowTopRight.className=\"vis-shadow vis-top\";this.dom.shadowBottomRight.className=\"vis-shadow vis-bottom\";this.dom.rollingModeBtn.className=\"vis-rolling-mode-btn\";this.dom.root.appendChild(this.dom.background);this.dom.root.appendChild(this.dom.backgroundVertical);this.dom.root.appendChild(this.dom.backgroundHorizontal);this.dom.root.appendChild(this.dom.centerContainer);this.dom.root.appendChild(this.dom.leftContainer);this.dom.root.appendChild(this.dom.rightContainer);this.dom.root.appendChild(this.dom.top);this.dom.root.appendChild(this.dom.bottom);this.dom.root.appendChild(this.dom.bottom);this.dom.root.appendChild(this.dom.rollingModeBtn);this.dom.centerContainer.appendChild(this.dom.center);this.dom.leftContainer.appendChild(this.dom.left);this.dom.rightContainer.appendChild(this.dom.right);this.dom.centerContainer.appendChild(this.dom.shadowTop);this.dom.centerContainer.appendChild(this.dom.shadowBottom);this.dom.leftContainer.appendChild(this.dom.shadowTopLeft);this.dom.leftContainer.appendChild(this.dom.shadowBottomLeft);this.dom.rightContainer.appendChild(this.dom.shadowTopRight);this.dom.rightContainer.appendChild(this.dom.shadowBottomRight);this.props={root:{},background:{},centerContainer:{},leftContainer:{},rightContainer:{},center:{},left:{},right:{},top:{},bottom:{},border:{},scrollTop:0,scrollTopMin:0};this.on(\"rangechange\",function(){if(this.initialDrawDone===true){this._redraw()}}.bind(this));this.on(\"rangechanged\",function(){if(!this.initialRangeChangeDone){this.initialRangeChangeDone=true}}.bind(this));this.on(\"touch\",this._onTouch.bind(this));this.on(\"panmove\",this._onDrag.bind(this));var me=this;this._origRedraw=this._redraw.bind(this);this._redraw=util.throttle(this._origRedraw);this.on(\"_change\",function(properties){if(me.itemSet&&me.itemSet.initialItemSetDrawn&&properties&&properties.queue==true){me._redraw()}else{me._origRedraw()}});this.hammer=new Hammer(this.dom.root);var pinchRecognizer=this.hammer.get(\"pinch\").set({enable:true});hammerUtil.disablePreventDefaultVertically(pinchRecognizer);this.hammer.get(\"pan\").set({threshold:5,direction:Hammer.DIRECTION_HORIZONTAL});this.listeners={};var events=[\"tap\",\"doubletap\",\"press\",\"pinch\",\"pan\",\"panstart\",\"panmove\",\"panend\"];events.forEach(function(type){var listener=function listener(event){if(me.isActive()){me.emit(type,event)}};me.hammer.on(type,listener);me.listeners[type]=listener});hammerUtil.onTouch(this.hammer,function(event){me.emit(\"touch\",event)}.bind(this));hammerUtil.onRelease(this.hammer,function(event){me.emit(\"release\",event)}.bind(this));function onMouseWheel(event){if(this.isActive()){this.emit(\"mousewheel\",event)}var deltaX=0;var deltaY=0;if(\"detail\"in event){deltaY=event.detail*-1}if(\"wheelDelta\"in event){deltaY=event.wheelDelta}if(\"wheelDeltaY\"in event){deltaY=event.wheelDeltaY}if(\"wheelDeltaX\"in event){deltaX=event.wheelDeltaX*-1}if(\"axis\"in event&&event.axis===event.HORIZONTAL_AXIS){deltaX=deltaY*-1;deltaY=0}if(\"deltaY\"in event){deltaY=event.deltaY*-1}if(\"deltaX\"in event){deltaX=event.deltaX}if(!this.options.zoomKey||event[this.options.zoomKey])return;event.preventDefault();if(this.options.verticalScroll&&Math.abs(deltaY)>=Math.abs(deltaX)){var current=this.props.scrollTop;var adjusted=current+deltaY;if(this.isActive()){this._setScrollTop(adjusted);this._redraw();this.emit(\"scroll\",event)}}else if(this.options.horizontalScroll){var delta=Math.abs(deltaX)>=Math.abs(deltaY)?deltaX:deltaY;var diff=delta/120*(this.range.end-this.range.start)/20;var newStart=this.range.start+diff;var newEnd=this.range.end+diff;var options={animation:false,byUser:true,event:event};this.range.setRange(newStart,newEnd,options)}}if(this.dom.centerContainer.addEventListener){this.dom.centerContainer.addEventListener(\"mousewheel\",onMouseWheel.bind(this),false);this.dom.centerContainer.addEventListener(\"DOMMouseScroll\",onMouseWheel.bind(this),false)}else{this.dom.centerContainer.attachEvent(\"onmousewheel\",onMouseWheel.bind(this))}function onMouseScrollSide(event){if(!me.options.verticalScroll)return;event.preventDefault();if(me.isActive()){var adjusted=-event.target.scrollTop;me._setScrollTop(adjusted);me._redraw();me.emit(\"scrollSide\",event)}}this.dom.left.parentNode.addEventListener(\"scroll\",onMouseScrollSide.bind(this));this.dom.right.parentNode.addEventListener(\"scroll\",onMouseScrollSide.bind(this));var itemAddedToTimeline=false;function handleDragOver(event){if(event.preventDefault){event.preventDefault()}if(!event.target.className.indexOf(\"vis\")>-1)return;if(itemAddedToTimeline)return;event.dataTransfer.dropEffect=\"move\";itemAddedToTimeline=true;return false}function handleDrop(event){if(event.preventDefault){event.preventDefault()}if(event.stopPropagation){event.stopPropagation()}try{var itemData=JSON.parse(event.dataTransfer.getData(\"text\"));if(!itemData||!itemData.content)return}catch(err){return false}itemAddedToTimeline=false;event.center={x:event.clientX,y:event.clientY};if(itemData.target!==\"item\"){me.itemSet._onAddItem(event)}else{me.itemSet._onDropObjectOnItem(event)}me.emit(\"drop\",me.getEventProperties(event));return false}this.dom.center.addEventListener(\"dragover\",handleDragOver.bind(this),false);this.dom.center.addEventListener(\"drop\",handleDrop.bind(this),false);this.customTimes=[];this.touch={};this.redrawCount=0;this.initialDrawDone=false;this.initialRangeChangeDone=false;if(!container)throw new Error(\"No container provided\");container.appendChild(this.dom.root)};Core.prototype.setOptions=function(options){if(options){var fields=[\"width\",\"height\",\"minHeight\",\"maxHeight\",\"autoResize\",\"start\",\"end\",\"clickToUse\",\"dataAttributes\",\"hiddenDates\",\"locale\",\"locales\",\"moment\",\"rtl\",\"zoomKey\",\"horizontalScroll\",\"verticalScroll\"];util.selectiveExtend(fields,this.options,options);this.dom.rollingModeBtn.style.visibility=\"hidden\";if(this.options.rtl){this.dom.container.style.direction=\"rtl\";this.dom.backgroundVertical.className=\"vis-panel vis-background vis-vertical-rtl\"}if(this.options.verticalScroll){if(this.options.rtl){this.dom.rightContainer.className=\"vis-panel vis-right vis-vertical-scroll\"}else{this.dom.leftContainer.className=\"vis-panel vis-left vis-vertical-scroll\"}}if((0,_typeof3[\"default\"])(this.options.orientation)!==\"object\"){this.options.orientation={item:undefined,axis:undefined}}if(\"orientation\"in options){if(typeof options.orientation===\"string\"){this.options.orientation={item:options.orientation,axis:options.orientation}}else if((0,_typeof3[\"default\"])(options.orientation)===\"object\"){if(\"item\"in options.orientation){this.options.orientation.item=options.orientation.item}if(\"axis\"in options.orientation){this.options.orientation.axis=options.orientation.axis}}}if(this.options.orientation.axis===\"both\"){if(!this.timeAxis2){var timeAxis2=this.timeAxis2=new TimeAxis(this.body);timeAxis2.setOptions=function(options){var _options=options?util.extend({},options):{};_options.orientation=\"top\";TimeAxis.prototype.setOptions.call(timeAxis2,_options)};this.components.push(timeAxis2)}}else{if(this.timeAxis2){var index=this.components.indexOf(this.timeAxis2);if(index!==-1){this.components.splice(index,1)}this.timeAxis2.destroy();this.timeAxis2=null}}if(typeof options.drawPoints==\"function\"){options.drawPoints={onRender:options.drawPoints}}if(\"hiddenDates\"in this.options){DateUtil.convertHiddenOptions(this.options.moment,this.body,this.options.hiddenDates)}if(\"clickToUse\"in options){if(options.clickToUse){if(!this.activator){this.activator=new Activator(this.dom.root)}}else{if(this.activator){this.activator.destroy();delete this.activator}}}if(\"showCustomTime\"in options){throw new Error(\"Option `showCustomTime` is deprecated. Create a custom time bar via timeline.addCustomTime(time [, id])\")}this._initAutoResize()}this.components.forEach(function(component){return component.setOptions(options)});if(\"configure\"in options){if(!this.configurator){this.configurator=this._createConfigurator()}this.configurator.setOptions(options.configure);var appliedOptions=util.deepExtend({},this.options);this.components.forEach(function(component){util.deepExtend(appliedOptions,component.options)});this.configurator.setModuleOptions({global:appliedOptions})}this._redraw()};Core.prototype.isActive=function(){return!this.activator||this.activator.active};Core.prototype.destroy=function(){this.setItems(null);this.setGroups(null);this.off();this._stopAutoResize();if(this.dom.root.parentNode){this.dom.root.parentNode.removeChild(this.dom.root)}this.dom=null;if(this.activator){this.activator.destroy();delete this.activator}for(var event in this.listeners){if(this.listeners.hasOwnProperty(event)){delete this.listeners[event]}}this.listeners=null;this.hammer=null;this.components.forEach(function(component){return component.destroy()});this.body=null};Core.prototype.setCustomTime=function(time,id){var customTimes=this.customTimes.filter(function(component){return id===component.options.id});if(customTimes.length===0){throw new Error(\"No custom time bar found with id \"+(0,_stringify2[\"default\"])(id))}if(customTimes.length>0){customTimes[0].setCustomTime(time)}};Core.prototype.getCustomTime=function(id){var customTimes=this.customTimes.filter(function(component){return component.options.id===id});if(customTimes.length===0){throw new Error(\"No custom time bar found with id \"+(0,_stringify2[\"default\"])(id))}return customTimes[0].getCustomTime()};Core.prototype.setCustomTimeTitle=function(title,id){var customTimes=this.customTimes.filter(function(component){return component.options.id===id});if(customTimes.length===0){throw new Error(\"No custom time bar found with id \"+(0,_stringify2[\"default\"])(id))}if(customTimes.length>0){return customTimes[0].setCustomTitle(title)}};Core.prototype.getEventProperties=function(event){return{event:event}};Core.prototype.addCustomTime=function(time,id){var timestamp=time!==undefined?util.convert(time,\"Date\").valueOf():new Date;var exists=this.customTimes.some(function(customTime){return customTime.options.id===id});if(exists){throw new Error(\"A custom time with id \"+(0,_stringify2[\"default\"])(id)+\" already exists\")}var customTime=new CustomTime(this.body,util.extend({},this.options,{time:timestamp,id:id}));this.customTimes.push(customTime);this.components.push(customTime);this._redraw();return id};Core.prototype.removeCustomTime=function(id){var customTimes=this.customTimes.filter(function(bar){return bar.options.id===id});if(customTimes.length===0){throw new Error(\"No custom time bar found with id \"+(0,_stringify2[\"default\"])(id))}customTimes.forEach(function(customTime){this.customTimes.splice(this.customTimes.indexOf(customTime),1);this.components.splice(this.components.indexOf(customTime),1);customTime.destroy()}.bind(this))};Core.prototype.getVisibleItems=function(){return this.itemSet&&this.itemSet.getVisibleItems()||[]};Core.prototype.fit=function(options,callback){var range=this.getDataRange();if(range.min===null&&range.max===null){return}var interval=range.max-range.min;var min=new Date(range.min.valueOf()-interval*.01);var max=new Date(range.max.valueOf()+interval*.01);var animation=options&&options.animation!==undefined?options.animation:true;this.range.setRange(min,max,{animation:animation},callback)};Core.prototype.getDataRange=function(){throw new Error(\"Cannot invoke abstract method getDataRange\")};Core.prototype.setWindow=function(start,end,options,callback){if(typeof arguments[2]==\"function\"){callback=arguments[2];options={}}var animation;var range;if(arguments.length==1){range=arguments[0];animation=range.animation!==undefined?range.animation:true;this.range.setRange(range.start,range.end,{animation:animation})}else if(arguments.length==2&&typeof arguments[1]==\"function\"){range=arguments[0];callback=arguments[1];animation=range.animation!==undefined?range.animation:true\n;this.range.setRange(range.start,range.end,{animation:animation},callback)}else{animation=options&&options.animation!==undefined?options.animation:true;this.range.setRange(start,end,{animation:animation},callback)}};Core.prototype.moveTo=function(time,options,callback){if(typeof arguments[1]==\"function\"){callback=arguments[1];options={}}var interval=this.range.end-this.range.start;var t=util.convert(time,\"Date\").valueOf();var start=t-interval/2;var end=t+interval/2;var animation=options&&options.animation!==undefined?options.animation:true;this.range.setRange(start,end,{animation:animation},callback)};Core.prototype.getWindow=function(){var range=this.range.getRange();return{start:new Date(range.start),end:new Date(range.end)}};Core.prototype.zoomIn=function(percentage,options,callback){if(!percentage||percentage<0||percentage>1)return;if(typeof arguments[1]==\"function\"){callback=arguments[1];options={}}var range=this.getWindow();var start=range.start.valueOf();var end=range.end.valueOf();var interval=end-start;var newInterval=interval/(1+percentage);var distance=(interval-newInterval)/2;var newStart=start+distance;var newEnd=end-distance;this.setWindow(newStart,newEnd,options,callback)};Core.prototype.zoomOut=function(percentage,options,callback){if(!percentage||percentage<0||percentage>1)return;if(typeof arguments[1]==\"function\"){callback=arguments[1];options={}}var range=this.getWindow();var start=range.start.valueOf();var end=range.end.valueOf();var interval=end-start;var newStart=start-interval*percentage/2;var newEnd=end+interval*percentage/2;this.setWindow(newStart,newEnd,options,callback)};Core.prototype.redraw=function(){this._redraw()};Core.prototype._redraw=function(){this.redrawCount++;var resized=false;var options=this.options;var props=this.props;var dom=this.dom;if(!dom||!dom.container||dom.root.offsetWidth==0)return;DateUtil.updateHiddenDates(this.options.moment,this.body,this.options.hiddenDates);if(options.orientation==\"top\"){util.addClassName(dom.root,\"vis-top\");util.removeClassName(dom.root,\"vis-bottom\")}else{util.removeClassName(dom.root,\"vis-top\");util.addClassName(dom.root,\"vis-bottom\")}dom.root.style.maxHeight=util.option.asSize(options.maxHeight,\"\");dom.root.style.minHeight=util.option.asSize(options.minHeight,\"\");dom.root.style.width=util.option.asSize(options.width,\"\");props.border.left=(dom.centerContainer.offsetWidth-dom.centerContainer.clientWidth)/2;props.border.right=props.border.left;props.border.top=(dom.centerContainer.offsetHeight-dom.centerContainer.clientHeight)/2;props.border.bottom=props.border.top;props.borderRootHeight=dom.root.offsetHeight-dom.root.clientHeight;props.borderRootWidth=dom.root.offsetWidth-dom.root.clientWidth;if(dom.centerContainer.clientHeight===0){props.border.left=props.border.top;props.border.right=props.border.left}if(dom.root.clientHeight===0){props.borderRootWidth=props.borderRootHeight}props.center.height=dom.center.offsetHeight;props.left.height=dom.left.offsetHeight;props.right.height=dom.right.offsetHeight;props.top.height=dom.top.clientHeight||-props.border.top;props.bottom.height=dom.bottom.clientHeight||-props.border.bottom;var contentHeight=Math.max(props.left.height,props.center.height,props.right.height);var autoHeight=props.top.height+contentHeight+props.bottom.height+props.borderRootHeight+props.border.top+props.border.bottom;dom.root.style.height=util.option.asSize(options.height,autoHeight+\"px\");props.root.height=dom.root.offsetHeight;props.background.height=props.root.height-props.borderRootHeight;var containerHeight=props.root.height-props.top.height-props.bottom.height-props.borderRootHeight;props.centerContainer.height=containerHeight;props.leftContainer.height=containerHeight;props.rightContainer.height=props.leftContainer.height;props.root.width=dom.root.offsetWidth;props.background.width=props.root.width-props.borderRootWidth;if(!this.initialDrawDone){props.scrollbarWidth=util.getScrollBarWidth()}if(options.verticalScroll){if(options.rtl){props.left.width=dom.leftContainer.clientWidth||-props.border.left;props.right.width=dom.rightContainer.clientWidth+props.scrollbarWidth||-props.border.right}else{props.left.width=dom.leftContainer.clientWidth+props.scrollbarWidth||-props.border.left;props.right.width=dom.rightContainer.clientWidth||-props.border.right}}else{props.left.width=dom.leftContainer.clientWidth||-props.border.left;props.right.width=dom.rightContainer.clientWidth||-props.border.right}this._setDOM();var offset=this._updateScrollTop();if(options.orientation.item!=\"top\"){offset+=Math.max(props.centerContainer.height-props.center.height-props.border.top-props.border.bottom,0)}dom.center.style.top=offset+\"px\";var visibilityTop=props.scrollTop==0?\"hidden\":\"\";var visibilityBottom=props.scrollTop==props.scrollTopMin?\"hidden\":\"\";dom.shadowTop.style.visibility=visibilityTop;dom.shadowBottom.style.visibility=visibilityBottom;dom.shadowTopLeft.style.visibility=visibilityTop;dom.shadowBottomLeft.style.visibility=visibilityBottom;dom.shadowTopRight.style.visibility=visibilityTop;dom.shadowBottomRight.style.visibility=visibilityBottom;if(options.verticalScroll){dom.rightContainer.className=\"vis-panel vis-right vis-vertical-scroll\";dom.leftContainer.className=\"vis-panel vis-left vis-vertical-scroll\";dom.shadowTopRight.style.visibility=\"hidden\";dom.shadowBottomRight.style.visibility=\"hidden\";dom.shadowTopLeft.style.visibility=\"hidden\";dom.shadowBottomLeft.style.visibility=\"hidden\";dom.left.style.top=\"0px\";dom.right.style.top=\"0px\"}if(!options.verticalScroll||props.center.height<props.centerContainer.height){dom.left.style.top=offset+\"px\";dom.right.style.top=offset+\"px\";dom.rightContainer.className=dom.rightContainer.className.replace(new RegExp(\"(?:^|\\\\s)\"+\"vis-vertical-scroll\"+\"(?:\\\\s|$)\"),\" \");dom.leftContainer.className=dom.leftContainer.className.replace(new RegExp(\"(?:^|\\\\s)\"+\"vis-vertical-scroll\"+\"(?:\\\\s|$)\"),\" \");props.left.width=dom.leftContainer.clientWidth||-props.border.left;props.right.width=dom.rightContainer.clientWidth||-props.border.right;this._setDOM()}var contentsOverflow=props.center.height>props.centerContainer.height;this.hammer.get(\"pan\").set({direction:contentsOverflow?Hammer.DIRECTION_ALL:Hammer.DIRECTION_HORIZONTAL});this.components.forEach(function(component){resized=component.redraw()||resized});var MAX_REDRAW=5;if(resized){if(this.redrawCount<MAX_REDRAW){this.body.emitter.emit(\"_change\");return}else{console.log(\"WARNING: infinite loop in redraw?\")}}else{this.redrawCount=0}this.body.emitter.emit(\"changed\")};Core.prototype._setDOM=function(){var props=this.props;var dom=this.dom;props.leftContainer.width=props.left.width;props.rightContainer.width=props.right.width;var centerWidth=props.root.width-props.left.width-props.right.width-props.borderRootWidth;props.center.width=centerWidth;props.centerContainer.width=centerWidth;props.top.width=centerWidth;props.bottom.width=centerWidth;dom.background.style.height=props.background.height+\"px\";dom.backgroundVertical.style.height=props.background.height+\"px\";dom.backgroundHorizontal.style.height=props.centerContainer.height+\"px\";dom.centerContainer.style.height=props.centerContainer.height+\"px\";dom.leftContainer.style.height=props.leftContainer.height+\"px\";dom.rightContainer.style.height=props.rightContainer.height+\"px\";dom.background.style.width=props.background.width+\"px\";dom.backgroundVertical.style.width=props.centerContainer.width+\"px\";dom.backgroundHorizontal.style.width=props.background.width+\"px\";dom.centerContainer.style.width=props.center.width+\"px\";dom.top.style.width=props.top.width+\"px\";dom.bottom.style.width=props.bottom.width+\"px\";dom.background.style.left=\"0\";dom.background.style.top=\"0\";dom.backgroundVertical.style.left=props.left.width+props.border.left+\"px\";dom.backgroundVertical.style.top=\"0\";dom.backgroundHorizontal.style.left=\"0\";dom.backgroundHorizontal.style.top=props.top.height+\"px\";dom.centerContainer.style.left=props.left.width+\"px\";dom.centerContainer.style.top=props.top.height+\"px\";dom.leftContainer.style.left=\"0\";dom.leftContainer.style.top=props.top.height+\"px\";dom.rightContainer.style.left=props.left.width+props.center.width+\"px\";dom.rightContainer.style.top=props.top.height+\"px\";dom.top.style.left=props.left.width+\"px\";dom.top.style.top=\"0\";dom.bottom.style.left=props.left.width+\"px\";dom.bottom.style.top=props.top.height+props.centerContainer.height+\"px\";dom.center.style.left=\"0\";dom.left.style.left=\"0\";dom.right.style.left=\"0\"};Core.prototype.repaint=function(){throw new Error(\"Function repaint is deprecated. Use redraw instead.\")};Core.prototype.setCurrentTime=function(time){if(!this.currentTime){throw new Error(\"Option showCurrentTime must be true\")}this.currentTime.setCurrentTime(time)};Core.prototype.getCurrentTime=function(){if(!this.currentTime){throw new Error(\"Option showCurrentTime must be true\")}return this.currentTime.getCurrentTime()};Core.prototype._toTime=function(x){return DateUtil.toTime(this,x,this.props.center.width)};Core.prototype._toGlobalTime=function(x){return DateUtil.toTime(this,x,this.props.root.width)};Core.prototype._toScreen=function(time){return DateUtil.toScreen(this,time,this.props.center.width)};Core.prototype._toGlobalScreen=function(time){return DateUtil.toScreen(this,time,this.props.root.width)};Core.prototype._initAutoResize=function(){if(this.options.autoResize==true){this._startAutoResize()}else{this._stopAutoResize()}};Core.prototype._startAutoResize=function(){var me=this;this._stopAutoResize();this._onResize=function(){if(me.options.autoResize!=true){me._stopAutoResize();return}if(me.dom.root){if(me.dom.root.offsetWidth!=me.props.lastWidth||me.dom.root.offsetHeight!=me.props.lastHeight){me.props.lastWidth=me.dom.root.offsetWidth;me.props.lastHeight=me.dom.root.offsetHeight;me.props.scrollbarWidth=util.getScrollBarWidth();me.body.emitter.emit(\"_change\")}}};util.addEventListener(window,\"resize\",this._onResize);if(me.dom.root){me.props.lastWidth=me.dom.root.offsetWidth;me.props.lastHeight=me.dom.root.offsetHeight}this.watchTimer=setInterval(this._onResize,1e3)};Core.prototype._stopAutoResize=function(){if(this.watchTimer){clearInterval(this.watchTimer);this.watchTimer=undefined}if(this._onResize){util.removeEventListener(window,\"resize\",this._onResize);this._onResize=null}};Core.prototype._onTouch=function(event){this.touch.allowDragging=true;this.touch.initialScrollTop=this.props.scrollTop};Core.prototype._onPinch=function(event){this.touch.allowDragging=false};Core.prototype._onDrag=function(event){if(!event)return;if(!this.touch.allowDragging)return;var delta=event.deltaY;var oldScrollTop=this._getScrollTop();var newScrollTop=this._setScrollTop(this.touch.initialScrollTop+delta);if(this.options.verticalScroll){this.dom.left.parentNode.scrollTop=-this.props.scrollTop;this.dom.right.parentNode.scrollTop=-this.props.scrollTop}if(newScrollTop!=oldScrollTop){this.emit(\"verticalDrag\")}};Core.prototype._setScrollTop=function(scrollTop){this.props.scrollTop=scrollTop;this._updateScrollTop();return this.props.scrollTop};Core.prototype._updateScrollTop=function(){var scrollTopMin=Math.min(this.props.centerContainer.height-this.props.center.height,0);if(scrollTopMin!=this.props.scrollTopMin){if(this.options.orientation.item!=\"top\"){this.props.scrollTop+=scrollTopMin-this.props.scrollTopMin}this.props.scrollTopMin=scrollTopMin}if(this.props.scrollTop>0)this.props.scrollTop=0;if(this.props.scrollTop<scrollTopMin)this.props.scrollTop=scrollTopMin;if(this.options.verticalScroll){this.dom.left.parentNode.scrollTop=-this.props.scrollTop;this.dom.right.parentNode.scrollTop=-this.props.scrollTop}return this.props.scrollTop};Core.prototype._getScrollTop=function(){return this.props.scrollTop};Core.prototype._createConfigurator=function(){throw new Error(\"Cannot invoke abstract method _createConfigurator\")};module.exports=Core},function(module,exports,__webpack_require__){\"use strict\";var moment=__webpack_require__(9);var DateUtil=__webpack_require__(36);var util=__webpack_require__(2);function TimeStep(start,end,minimumStep,hiddenDates,options){this.moment=moment;this.current=this.moment();this._start=this.moment();this._end=this.moment();this.autoScale=true;this.scale=\"day\";this.step=1;this.setRange(start,end,minimumStep);this.switchedDay=false;this.switchedMonth=false;this.switchedYear=false;if(Array.isArray(hiddenDates)){this.hiddenDates=hiddenDates}else if(hiddenDates!=undefined){this.hiddenDates=[hiddenDates]}else{this.hiddenDates=[]}this.format=TimeStep.FORMAT;this.options=options?options:{}}TimeStep.FORMAT={minorLabels:{millisecond:\"SSS\",second:\"s\",minute:\"HH:mm\",hour:\"HH:mm\",weekday:\"ddd D\",day:\"D\",week:\"w\",month:\"MMM\",year:\"YYYY\"},majorLabels:{millisecond:\"HH:mm:ss\",second:\"D MMMM HH:mm\",minute:\"ddd D MMMM\",hour:\"ddd D MMMM\",weekday:\"MMMM YYYY\",day:\"MMMM YYYY\",week:\"MMMM YYYY\",month:\"YYYY\",year:\"\"}};TimeStep.prototype.setMoment=function(moment){this.moment=moment;this.current=this.moment(this.current.valueOf());this._start=this.moment(this._start.valueOf());this._end=this.moment(this._end.valueOf())};TimeStep.prototype.setFormat=function(format){var defaultFormat=util.deepExtend({},TimeStep.FORMAT);this.format=util.deepExtend(defaultFormat,format)};TimeStep.prototype.setRange=function(start,end,minimumStep){if(!(start instanceof Date)||!(end instanceof Date)){throw\"No legal start or end date in method setRange\"}this._start=start!=undefined?this.moment(start.valueOf()):new Date;this._end=end!=undefined?this.moment(end.valueOf()):new Date;if(this.autoScale){this.setMinimumStep(minimumStep)}};TimeStep.prototype.start=function(){this.current=this._start.clone();this.roundToMinor()};TimeStep.prototype.roundToMinor=function(){if(this.scale==\"week\"){this.current.weekday(0)}switch(this.scale){case\"year\":this.current.year(this.step*Math.floor(this.current.year()/this.step));this.current.month(0);case\"month\":this.current.date(1);case\"week\":case\"day\":case\"weekday\":this.current.hours(0);case\"hour\":this.current.minutes(0);case\"minute\":this.current.seconds(0);case\"second\":this.current.milliseconds(0)}if(this.step!=1){switch(this.scale){case\"millisecond\":this.current.subtract(this.current.milliseconds()%this.step,\"milliseconds\");break;case\"second\":this.current.subtract(this.current.seconds()%this.step,\"seconds\");break;case\"minute\":this.current.subtract(this.current.minutes()%this.step,\"minutes\");break;case\"hour\":this.current.subtract(this.current.hours()%this.step,\"hours\");break;case\"weekday\":case\"day\":this.current.subtract((this.current.date()-1)%this.step,\"day\");break;case\"week\":this.current.subtract(this.current.week()%this.step,\"week\");break;case\"month\":this.current.subtract(this.current.month()%this.step,\"month\");break;case\"year\":this.current.subtract(this.current.year()%this.step,\"year\");break;default:break}}};TimeStep.prototype.hasNext=function(){return this.current.valueOf()<=this._end.valueOf()};TimeStep.prototype.next=function(){var prev=this.current.valueOf();switch(this.scale){case\"millisecond\":this.current.add(this.step,\"millisecond\");break;case\"second\":this.current.add(this.step,\"second\");break;case\"minute\":this.current.add(this.step,\"minute\");break;case\"hour\":this.current.add(this.step,\"hour\");if(this.current.month()<6){this.current.subtract(this.current.hours()%this.step,\"hour\")}else{if(this.current.hours()%this.step!==0){this.current.add(this.step-this.current.hours()%this.step,\"hour\")}}break;case\"weekday\":case\"day\":this.current.add(this.step,\"day\");break;case\"week\":if(this.current.weekday()!==0){this.current.weekday(0);this.current.add(this.step,\"week\")}else if(this.options.showMajorLabels===false){this.current.add(this.step,\"week\")}else{var nextWeek=this.current.clone();nextWeek.add(1,\"week\");if(nextWeek.isSame(this.current,\"month\")){this.current.add(this.step,\"week\")}else{this.current.add(this.step,\"week\");this.current.date(1)}}break;case\"month\":this.current.add(this.step,\"month\");break;case\"year\":this.current.add(this.step,\"year\");break;default:break}if(this.step!=1){switch(this.scale){case\"millisecond\":if(this.current.milliseconds()>0&&this.current.milliseconds()<this.step)this.current.milliseconds(0);break;case\"second\":if(this.current.seconds()>0&&this.current.seconds()<this.step)this.current.seconds(0);break;case\"minute\":if(this.current.minutes()>0&&this.current.minutes()<this.step)this.current.minutes(0);break;case\"hour\":if(this.current.hours()>0&&this.current.hours()<this.step)this.current.hours(0);break;case\"weekday\":case\"day\":if(this.current.date()<this.step+1)this.current.date(1);break;case\"week\":if(this.current.week()<this.step)this.current.week(1);break;case\"month\":if(this.current.month()<this.step)this.current.month(0);break;case\"year\":break;default:break}}if(this.current.valueOf()==prev){this.current=this._end.clone()}this.switchedDay=false;this.switchedMonth=false;this.switchedYear=false;DateUtil.stepOverHiddenDates(this.moment,this,prev)};TimeStep.prototype.getCurrent=function(){return this.current};TimeStep.prototype.setScale=function(params){if(params&&typeof params.scale==\"string\"){this.scale=params.scale;this.step=params.step>0?params.step:1;this.autoScale=false}};TimeStep.prototype.setAutoScale=function(enable){this.autoScale=enable};TimeStep.prototype.setMinimumStep=function(minimumStep){if(minimumStep==undefined){return}var stepYear=1e3*60*60*24*30*12;var stepMonth=1e3*60*60*24*30;var stepDay=1e3*60*60*24;var stepHour=1e3*60*60;var stepMinute=1e3*60;var stepSecond=1e3;var stepMillisecond=1;if(stepYear*1e3>minimumStep){this.scale=\"year\";this.step=1e3}if(stepYear*500>minimumStep){this.scale=\"year\";this.step=500}if(stepYear*100>minimumStep){this.scale=\"year\";this.step=100}if(stepYear*50>minimumStep){this.scale=\"year\";this.step=50}if(stepYear*10>minimumStep){this.scale=\"year\";this.step=10}if(stepYear*5>minimumStep){this.scale=\"year\";this.step=5}if(stepYear>minimumStep){this.scale=\"year\";this.step=1}if(stepMonth*3>minimumStep){this.scale=\"month\";this.step=3}if(stepMonth>minimumStep){this.scale=\"month\";this.step=1}if(stepDay*5>minimumStep){this.scale=\"day\";this.step=5}if(stepDay*2>minimumStep){this.scale=\"day\";this.step=2}if(stepDay>minimumStep){this.scale=\"day\";this.step=1}if(stepDay/2>minimumStep){this.scale=\"weekday\";this.step=1}if(stepHour*4>minimumStep){this.scale=\"hour\";this.step=4}if(stepHour>minimumStep){this.scale=\"hour\";this.step=1}if(stepMinute*15>minimumStep){this.scale=\"minute\";this.step=15}if(stepMinute*10>minimumStep){this.scale=\"minute\";this.step=10}if(stepMinute*5>minimumStep){this.scale=\"minute\";this.step=5}if(stepMinute>minimumStep){this.scale=\"minute\";this.step=1}if(stepSecond*15>minimumStep){this.scale=\"second\";this.step=15}if(stepSecond*10>minimumStep){this.scale=\"second\";this.step=10}if(stepSecond*5>minimumStep){this.scale=\"second\";this.step=5}if(stepSecond>minimumStep){this.scale=\"second\";this.step=1}if(stepMillisecond*200>minimumStep){this.scale=\"millisecond\";this.step=200}if(stepMillisecond*100>minimumStep){this.scale=\"millisecond\";this.step=100}if(stepMillisecond*50>minimumStep){this.scale=\"millisecond\";this.step=50}if(stepMillisecond*10>minimumStep){this.scale=\"millisecond\";this.step=10}if(stepMillisecond*5>minimumStep){this.scale=\"millisecond\";this.step=5}if(stepMillisecond>minimumStep){this.scale=\"millisecond\";this.step=1}};TimeStep.snap=function(date,scale,step){var clone=moment(date);if(scale==\"year\"){var year=clone.year()+Math.round(clone.month()/12);clone.year(Math.round(year/step)*step);clone.month(0);clone.date(0);clone.hours(0);clone.minutes(0);clone.seconds(0);clone.milliseconds(0)}else if(scale==\"month\"){if(clone.date()>15){clone.date(1);clone.add(1,\"month\")}else{clone.date(1)}clone.hours(0);clone.minutes(0);clone.seconds(0);clone.milliseconds(0)}else if(scale==\"week\"){if(clone.weekday()>2){clone.weekday(0);clone.add(1,\"week\")}else{clone.weekday(0)}clone.hours(0);clone.minutes(0);clone.seconds(0);clone.milliseconds(0)}else if(scale==\"day\"){switch(step){case 5:case 2:clone.hours(Math.round(clone.hours()/24)*24);break;default:clone.hours(Math.round(clone.hours()/12)*12);break}clone.minutes(0);clone.seconds(0);clone.milliseconds(0)}else if(scale==\"weekday\"){switch(step){case 5:case 2:clone.hours(Math.round(clone.hours()/12)*12);break;default:clone.hours(Math.round(clone.hours()/6)*6);break}clone.minutes(0);clone.seconds(0);clone.milliseconds(0)}else if(scale==\"hour\"){switch(step){case 4:clone.minutes(Math.round(clone.minutes()/60)*60);break;default:clone.minutes(Math.round(clone.minutes()/30)*30);break}clone.seconds(0);clone.milliseconds(0)}else if(scale==\"minute\"){switch(step){case 15:case 10:clone.minutes(Math.round(clone.minutes()/5)*5);clone.seconds(0);break;case 5:clone.seconds(Math.round(clone.seconds()/60)*60);break;default:clone.seconds(Math.round(clone.seconds()/30)*30);break}clone.milliseconds(0)}else if(scale==\"second\"){switch(step){case 15:case 10:clone.seconds(Math.round(clone.seconds()/5)*5);clone.milliseconds(0);break;case 5:clone.milliseconds(Math.round(clone.milliseconds()/1e3)*1e3);break;default:clone.milliseconds(Math.round(clone.milliseconds()/500)*500);break}}else if(scale==\"millisecond\"){var _step=step>5?step/2:1;clone.milliseconds(Math.round(clone.milliseconds()/_step)*_step)}return clone};TimeStep.prototype.isMajor=function(){if(this.switchedYear==true){switch(this.scale){case\"year\":case\"month\":case\"week\":case\"weekday\":case\"day\":case\"hour\":case\"minute\":case\"second\":case\"millisecond\":return true;default:return false}}else if(this.switchedMonth==true){switch(this.scale){case\"week\":case\"weekday\":case\"day\":case\"hour\":case\"minute\":case\"second\":case\"millisecond\":return true;default:return false}}else if(this.switchedDay==true){switch(this.scale){case\"millisecond\":case\"second\":case\"minute\":case\"hour\":return true;default:return false}}var date=this.moment(this.current);switch(this.scale){case\"millisecond\":return date.milliseconds()==0;case\"second\":return date.seconds()==0;case\"minute\":return date.hours()==0&&date.minutes()==0;case\"hour\":return date.hours()==0;case\"weekday\":case\"day\":return date.date()==1;case\"week\":return date.date()==1;case\"month\":return date.month()==0;case\"year\":return false;default:return false}};TimeStep.prototype.getLabelMinor=function(date){if(date==undefined){date=this.current}if(date instanceof Date){date=this.moment(date)}if(typeof this.format.minorLabels===\"function\"){return this.format.minorLabels(date,this.scale,this.step)}var format=this.format.minorLabels[this.scale];switch(this.scale){case\"week\":if(this.isMajor()&&date.weekday()!==0){return\"\"}default:return format&&format.length>0?this.moment(date).format(format):\"\"}};TimeStep.prototype.getLabelMajor=function(date){if(date==undefined){date=this.current}if(date instanceof Date){date=this.moment(date)}if(typeof this.format.majorLabels===\"function\"){return this.format.majorLabels(date,this.scale,this.step)}var format=this.format.majorLabels[this.scale];return format&&format.length>0?this.moment(date).format(format):\"\"};TimeStep.prototype.getClassName=function(){var _moment=this.moment;var m=this.moment(this.current);var current=m.locale?m.locale(\"en\"):m.lang(\"en\");var step=this.step;var classNames=[];function even(value){return value/step%2==0?\" vis-even\":\" vis-odd\"}function today(date){if(date.isSame(new Date,\"day\")){return\" vis-today\"}if(date.isSame(_moment().add(1,\"day\"),\"day\")){return\" vis-tomorrow\"}if(date.isSame(_moment().add(-1,\"day\"),\"day\")){return\" vis-yesterday\"}return\"\"}function currentWeek(date){return date.isSame(new Date,\"week\")?\" vis-current-week\":\"\"}function currentMonth(date){return date.isSame(new Date,\"month\")?\" vis-current-month\":\"\"}function currentYear(date){return date.isSame(new Date,\"year\")?\" vis-current-year\":\"\"}switch(this.scale){case\"millisecond\":classNames.push(today(current));classNames.push(even(current.milliseconds()));break;case\"second\":classNames.push(today(current));classNames.push(even(current.seconds()));break;case\"minute\":classNames.push(today(current));classNames.push(even(current.minutes()));break;case\"hour\":classNames.push(\"vis-h\"+current.hours()+(this.step==4?\"-h\"+(current.hours()+4):\"\"));classNames.push(today(current));classNames.push(even(current.hours()));break;case\"weekday\":classNames.push(\"vis-\"+current.format(\"dddd\").toLowerCase());classNames.push(today(current));classNames.push(currentWeek(current));classNames.push(even(current.date()));break;case\"day\":classNames.push(\"vis-day\"+current.date());classNames.push(\"vis-\"+current.format(\"MMMM\").toLowerCase());classNames.push(today(current));classNames.push(currentMonth(current));classNames.push(this.step<=2?today(current):\"\");classNames.push(this.step<=2?\"vis-\"+current.format(\"dddd\").toLowerCase():\"\");classNames.push(even(current.date()-1));break;case\"week\":classNames.push(\"vis-week\"+current.format(\"w\"));classNames.push(currentWeek(current));classNames.push(even(current.week()));break;case\"month\":classNames.push(\"vis-\"+current.format(\"MMMM\").toLowerCase());classNames.push(currentMonth(current));classNames.push(even(current.month()));break;case\"year\":classNames.push(\"vis-year\"+current.year());classNames.push(currentYear(current));classNames.push(even(current.year()));break}return classNames.filter(String).join(\" \")};module.exports=TimeStep},function(module,exports,__webpack_require__){\"use strict\";var util=__webpack_require__(2);var Component=__webpack_require__(16);var moment=__webpack_require__(9);var locales=__webpack_require__(98);function CurrentTime(body,options){this.body=body;this.defaultOptions={rtl:false,showCurrentTime:true,moment:moment,locales:locales,locale:\"en\"};this.options=util.extend({},this.defaultOptions);this.offset=0;this._create();this.setOptions(options)}CurrentTime.prototype=new Component;CurrentTime.prototype._create=function(){var bar=document.createElement(\"div\");bar.className=\"vis-current-time\";bar.style.position=\"absolute\";bar.style.top=\"0px\";bar.style.height=\"100%\";this.bar=bar};CurrentTime.prototype.destroy=function(){this.options.showCurrentTime=false;this.redraw();this.body=null};CurrentTime.prototype.setOptions=function(options){if(options){util.selectiveExtend([\"rtl\",\"showCurrentTime\",\"moment\",\"locale\",\"locales\"],this.options,options)}};CurrentTime.prototype.redraw=function(){if(this.options.showCurrentTime){var parent=this.body.dom.backgroundVertical;if(this.bar.parentNode!=parent){if(this.bar.parentNode){this.bar.parentNode.removeChild(this.bar)}parent.appendChild(this.bar);this.start()}var now=this.options.moment((new Date).valueOf()+this.offset);var x=this.body.util.toScreen(now);var locale=this.options.locales[this.options.locale];if(!locale){if(!this.warned){console.log(\"WARNING: options.locales['\"+this.options.locale+\"'] not found. See http://visjs.org/docs/timeline/#Localization\");this.warned=true}locale=this.options.locales[\"en\"]}var title=locale.current+\" \"+locale.time+\": \"+now.format(\"dddd, MMMM Do YYYY, H:mm:ss\");title=title.charAt(0).toUpperCase()+title.substring(1);if(this.options.rtl){this.bar.style.right=x+\"px\"}else{this.bar.style.left=x+\"px\"}this.bar.title=title}else{if(this.bar.parentNode){this.bar.parentNode.removeChild(this.bar)}this.stop()}return false};CurrentTime.prototype.start=function(){var me=this;function update(){me.stop();var scale=me.body.range.conversion(me.body.domProps.center.width).scale;var interval=1/scale/10;if(interval<30)interval=30;if(interval>1e3)interval=1e3;me.redraw();me.body.emitter.emit(\"currentTimeTick\");me.currentTimeTimer=setTimeout(update,interval)}update()};CurrentTime.prototype.stop=function(){if(this.currentTimeTimer!==undefined){clearTimeout(this.currentTimeTimer);delete this.currentTimeTimer}};CurrentTime.prototype.setCurrentTime=function(time){var t=util.convert(time,\"Date\").valueOf();var now=(new Date).valueOf();this.offset=t-now;this.redraw()};CurrentTime.prototype.getCurrentTime=function(){return new Date((new Date).valueOf()+this.offset)};module.exports=CurrentTime},function(module,exports,__webpack_require__){\"use strict\";var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var stack=__webpack_require__(100);function Group(groupId,data,itemSet){this.groupId=groupId;this.subgroups={};this.subgroupStack={};this.subgroupStackAll=false;this.doInnerStack=false;this.subgroupIndex=0;this.subgroupOrderer=data&&data.subgroupOrder;this.itemSet=itemSet;this.isVisible=null;this.stackDirty=true;if(data&&data.nestedGroups){this.nestedGroups=data.nestedGroups;if(data.showNested==false){this.showNested=false}else{this.showNested=true}}if(data&&data.subgroupStack){if(typeof data.subgroupStack===\"boolean\"){this.doInnerStack=data.subgroupStack;this.subgroupStackAll=data.subgroupStack}else{for(var key in data.subgroupStack){this.subgroupStack[key]=data.subgroupStack[key];this.doInnerStack=this.doInnerStack||data.subgroupStack[key]}}}this.nestedInGroup=null;this.dom={};this.props={label:{width:0,height:0}};this.className=null;this.items={};this.visibleItems=[];this.itemsInRange=[];this.orderedItems={byStart:[],byEnd:[]};this.checkRangedItems=false;var me=this;this.itemSet.body.emitter.on(\"checkRangedItems\",function(){me.checkRangedItems=true});this._create();this.setData(data)}Group.prototype._create=function(){var label=document.createElement(\"div\");if(this.itemSet.options.groupEditable.order){label.className=\"vis-label draggable\"}else{label.className=\"vis-label\"}this.dom.label=label;var inner=document.createElement(\"div\");inner.className=\"vis-inner\";label.appendChild(inner);this.dom.inner=inner;var foreground=document.createElement(\"div\");foreground.className=\"vis-group\";foreground[\"timeline-group\"]=this;this.dom.foreground=foreground;this.dom.background=document.createElement(\"div\");this.dom.background.className=\"vis-group\";this.dom.axis=document.createElement(\"div\");this.dom.axis.className=\"vis-group\";this.dom.marker=document.createElement(\"div\");this.dom.marker.style.visibility=\"hidden\";this.dom.marker.style.position=\"absolute\";this.dom.marker.innerHTML=\"\";this.dom.background.appendChild(this.dom.marker)};Group.prototype.setData=function(data){var content;var templateFunction;if(this.itemSet.options&&this.itemSet.options.groupTemplate){templateFunction=this.itemSet.options.groupTemplate.bind(this);content=templateFunction(data,this.dom.inner)}else{content=data&&data.content}if(content instanceof Element){this.dom.inner.appendChild(content);while(this.dom.inner.firstChild){this.dom.inner.removeChild(this.dom.inner.firstChild)}this.dom.inner.appendChild(content)}else if(content instanceof Object){templateFunction(data,this.dom.inner)}else if(content!==undefined&&content!==null){this.dom.inner.innerHTML=content}else{this.dom.inner.innerHTML=this.groupId||\"\"}this.dom.label.title=data&&data.title||\"\";if(!this.dom.inner.firstChild){util.addClassName(this.dom.inner,\"vis-hidden\")}else{util.removeClassName(this.dom.inner,\"vis-hidden\")}if(data&&data.nestedGroups){if(!this.nestedGroups||this.nestedGroups!=data.nestedGroups){this.nestedGroups=data.nestedGroups}if(data.showNested!==undefined||this.showNested===undefined){if(data.showNested==false){this.showNested=false}else{this.showNested=true}}util.addClassName(this.dom.label,\"vis-nesting-group\");var collapsedDirClassName=this.itemSet.options.rtl?\"collapsed-rtl\":\"collapsed\";if(this.showNested){util.removeClassName(this.dom.label,collapsedDirClassName);util.addClassName(this.dom.label,\"expanded\")}else{util.removeClassName(this.dom.label,\"expanded\");util.addClassName(this.dom.label,collapsedDirClassName)}}else if(this.nestedGroups){this.nestedGroups=null;collapsedDirClassName=this.itemSet.options.rtl?\"collapsed-rtl\":\"collapsed\";util.removeClassName(this.dom.label,collapsedDirClassName);util.removeClassName(this.dom.label,\"expanded\");util.removeClassName(this.dom.label,\"vis-nesting-group\")}if(data&&data.nestedInGroup){util.addClassName(this.dom.label,\"vis-nested-group\");if(this.itemSet.options&&this.itemSet.options.rtl){this.dom.inner.style.paddingRight=\"30px\"}else{\nthis.dom.inner.style.paddingLeft=\"30px\"}}var className=data&&data.className||null;if(className!=this.className){if(this.className){util.removeClassName(this.dom.label,this.className);util.removeClassName(this.dom.foreground,this.className);util.removeClassName(this.dom.background,this.className);util.removeClassName(this.dom.axis,this.className)}util.addClassName(this.dom.label,className);util.addClassName(this.dom.foreground,className);util.addClassName(this.dom.background,className);util.addClassName(this.dom.axis,className);this.className=className}if(this.style){util.removeCssText(this.dom.label,this.style);this.style=null}if(data&&data.style){util.addCssText(this.dom.label,data.style);this.style=data.style}};Group.prototype.getLabelWidth=function(){return this.props.label.width};Group.prototype._didMarkerHeightChange=function(){var markerHeight=this.dom.marker.clientHeight;if(markerHeight!=this.lastMarkerHeight){this.lastMarkerHeight=markerHeight;var redrawQueue={};var redrawQueueLength=0;util.forEach(this.items,function(item,key){item.dirty=true;if(item.displayed){var returnQueue=true;redrawQueue[key]=item.redraw(returnQueue);redrawQueueLength=redrawQueue[key].length}});var needRedraw=redrawQueueLength>0;if(needRedraw){for(var i=0;i<redrawQueueLength;i++){util.forEach(redrawQueue,function(fns){fns[i]()})}}return true}};Group.prototype._calculateGroupSizeAndPosition=function(){var offsetTop=this.dom.foreground.offsetTop;var offsetLeft=this.dom.foreground.offsetLeft;var offsetWidth=this.dom.foreground.offsetWidth;this.top=offsetTop;this.right=offsetLeft;this.width=offsetWidth};Group.prototype._redrawItems=function(forceRestack,lastIsVisible,margin,range){var restack=forceRestack||this.stackDirty||this.isVisible&&!lastIsVisible;if(restack){var visibleSubgroups={};var subgroup=null;if(typeof this.itemSet.options.order===\"function\"){var me=this;var limitSize=false;var redrawQueue={};var redrawQueueLength=0;util.forEach(this.items,function(item,key){if(!item.displayed){var returnQueue=true;redrawQueue[key]=item.redraw(returnQueue);redrawQueueLength=redrawQueue[key].length;me.visibleItems.push(item)}});var needRedraw=redrawQueueLength>0;if(needRedraw){for(var i=0;i<redrawQueueLength;i++){util.forEach(redrawQueue,function(fns){fns[i]()})}}util.forEach(this.items,function(item){item.repositionX(limitSize)});if(this.doInnerStack&&this.itemSet.options.stackSubgroups){for(subgroup in this.subgroups){visibleSubgroups[subgroup]=this.subgroups[subgroup].items.slice().sort(function(a,b){return me.itemSet.options.order(a.data,b.data)})}stack.stackSubgroupsWithInnerStack(visibleSubgroups,margin,this.subgroups)}else{var customOrderedItems=this.orderedItems.byStart.slice().sort(function(a,b){return me.itemSet.options.order(a.data,b.data)});stack.stack(customOrderedItems,margin,true)}this.visibleItems=this._updateItemsInRange(this.orderedItems,this.visibleItems,range)}else{this.visibleItems=this._updateItemsInRange(this.orderedItems,this.visibleItems,range);if(this.itemSet.options.stack){if(this.doInnerStack&&this.itemSet.options.stackSubgroups){for(subgroup in this.subgroups){visibleSubgroups[subgroup]=this.subgroups[subgroup].items}stack.stackSubgroupsWithInnerStack(visibleSubgroups,margin,this.subgroups)}else{stack.stack(this.visibleItems,margin,true)}}else{stack.nostack(this.visibleItems,margin,this.subgroups,this.itemSet.options.stackSubgroups)}}this.stackDirty=false}};Group.prototype._didResize=function(resized,height){resized=util.updateProperty(this,\"height\",height)||resized;var labelWidth=this.dom.inner.clientWidth;var labelHeight=this.dom.inner.clientHeight;resized=util.updateProperty(this.props.label,\"width\",labelWidth)||resized;resized=util.updateProperty(this.props.label,\"height\",labelHeight)||resized;return resized};Group.prototype._applyGroupHeight=function(height){this.dom.background.style.height=height+\"px\";this.dom.foreground.style.height=height+\"px\";this.dom.label.style.height=height+\"px\"};Group.prototype._updateItemsVerticalPosition=function(margin){for(var i=0,ii=this.visibleItems.length;i<ii;i++){var item=this.visibleItems[i];item.repositionY(margin);if(!this.isVisible&&this.groupId!=\"__background__\"){if(item.displayed)item.hide()}}};Group.prototype.redraw=function(range,margin,forceRestack,returnQueue){var resized=false;var lastIsVisible=this.isVisible;var height;var queue=[function(){forceRestack=this._didMarkerHeightChange.bind(this)}.bind(this),this._updateSubGroupHeights.bind(this,margin),this._calculateGroupSizeAndPosition.bind(this),function(){this.isVisible=this._isGroupVisible.bind(this)(range,margin)}.bind(this),function(){this._redrawItems.bind(this)(forceRestack,lastIsVisible,margin,range)}.bind(this),this._updateSubgroupsSizes.bind(this),function(){height=this._calculateHeight.bind(this)(margin)}.bind(this),this._calculateGroupSizeAndPosition.bind(this),function(){resized=this._didResize.bind(this)(resized,height)}.bind(this),function(){this._applyGroupHeight.bind(this)(height)}.bind(this),function(){this._updateItemsVerticalPosition.bind(this)(margin)}.bind(this),function(){if(!this.isVisible&&this.height){resized=false}return resized}];if(returnQueue){return queue}else{var result;queue.forEach(function(fn){result=fn()});return result}};Group.prototype._updateSubGroupHeights=function(margin){if((0,_keys2[\"default\"])(this.subgroups).length>0){var me=this;this.resetSubgroups();util.forEach(this.visibleItems,function(item){if(item.data.subgroup!==undefined){me.subgroups[item.data.subgroup].height=Math.max(me.subgroups[item.data.subgroup].height,item.height+margin.item.vertical);me.subgroups[item.data.subgroup].visible=true}})}};Group.prototype._isGroupVisible=function(range,margin){return this.top<=range.body.domProps.centerContainer.height-range.body.domProps.scrollTop+margin.axis&&this.top+this.height+margin.axis>=-range.body.domProps.scrollTop};Group.prototype._calculateHeight=function(margin){var height;var itemsInRange=this.visibleItems;if(itemsInRange.length>0){var min=itemsInRange[0].top;var max=itemsInRange[0].top+itemsInRange[0].height;util.forEach(itemsInRange,function(item){min=Math.min(min,item.top);max=Math.max(max,item.top+item.height)});if(min>margin.axis){var offset=min-margin.axis;max-=offset;util.forEach(itemsInRange,function(item){item.top-=offset})}height=max+margin.item.vertical/2}else{height=0}height=Math.max(height,this.props.label.height);return height};Group.prototype.show=function(){if(!this.dom.label.parentNode){this.itemSet.dom.labelSet.appendChild(this.dom.label)}if(!this.dom.foreground.parentNode){this.itemSet.dom.foreground.appendChild(this.dom.foreground)}if(!this.dom.background.parentNode){this.itemSet.dom.background.appendChild(this.dom.background)}if(!this.dom.axis.parentNode){this.itemSet.dom.axis.appendChild(this.dom.axis)}};Group.prototype.hide=function(){var label=this.dom.label;if(label.parentNode){label.parentNode.removeChild(label)}var foreground=this.dom.foreground;if(foreground.parentNode){foreground.parentNode.removeChild(foreground)}var background=this.dom.background;if(background.parentNode){background.parentNode.removeChild(background)}var axis=this.dom.axis;if(axis.parentNode){axis.parentNode.removeChild(axis)}};Group.prototype.add=function(item){this.items[item.id]=item;item.setParent(this);this.stackDirty=true;if(item.data.subgroup!==undefined){this._addToSubgroup(item);this.orderSubgroups()}if(this.visibleItems.indexOf(item)==-1){var range=this.itemSet.body.range;this._checkIfVisible(item,this.visibleItems,range)}};Group.prototype._addToSubgroup=function(item,subgroupId){subgroupId=subgroupId||item.data.subgroup;if(subgroupId!=undefined&&this.subgroups[subgroupId]===undefined){this.subgroups[subgroupId]={height:0,top:0,start:item.data.start,end:item.data.end||item.data.start,visible:false,index:this.subgroupIndex,items:[],stack:this.subgroupStackAll||this.subgroupStack[subgroupId]||false};this.subgroupIndex++}if(new Date(item.data.start)<new Date(this.subgroups[subgroupId].start)){this.subgroups[subgroupId].start=item.data.start}var itemEnd=item.data.end||item.data.start;if(new Date(itemEnd)>new Date(this.subgroups[subgroupId].end)){this.subgroups[subgroupId].end=itemEnd}this.subgroups[subgroupId].items.push(item)};Group.prototype._updateSubgroupsSizes=function(){var me=this;if(me.subgroups){for(var subgroup in me.subgroups){var initialEnd=me.subgroups[subgroup].items[0].data.end||me.subgroups[subgroup].items[0].data.start;var newStart=me.subgroups[subgroup].items[0].data.start;var newEnd=initialEnd-1;me.subgroups[subgroup].items.forEach(function(item){if(new Date(item.data.start)<new Date(newStart)){newStart=item.data.start}var itemEnd=item.data.end||item.data.start;if(new Date(itemEnd)>new Date(newEnd)){newEnd=itemEnd}});me.subgroups[subgroup].start=newStart;me.subgroups[subgroup].end=new Date(newEnd-1)}}};Group.prototype.orderSubgroups=function(){if(this.subgroupOrderer!==undefined){var sortArray=[];var subgroup;if(typeof this.subgroupOrderer==\"string\"){for(subgroup in this.subgroups){sortArray.push({subgroup:subgroup,sortField:this.subgroups[subgroup].items[0].data[this.subgroupOrderer]})}sortArray.sort(function(a,b){return a.sortField-b.sortField})}else if(typeof this.subgroupOrderer==\"function\"){for(subgroup in this.subgroups){sortArray.push(this.subgroups[subgroup].items[0].data)}sortArray.sort(this.subgroupOrderer)}if(sortArray.length>0){for(var i=0;i<sortArray.length;i++){this.subgroups[sortArray[i].subgroup].index=i}}}};Group.prototype.resetSubgroups=function(){for(var subgroup in this.subgroups){if(this.subgroups.hasOwnProperty(subgroup)){this.subgroups[subgroup].visible=false;this.subgroups[subgroup].height=0}}};Group.prototype.remove=function(item){delete this.items[item.id];item.setParent(null);this.stackDirty=true;var index=this.visibleItems.indexOf(item);if(index!=-1)this.visibleItems.splice(index,1);if(item.data.subgroup!==undefined){this._removeFromSubgroup(item);this.orderSubgroups()}};Group.prototype._removeFromSubgroup=function(item,subgroupId){subgroupId=subgroupId||item.data.subgroup;if(subgroupId!=undefined){var subgroup=this.subgroups[subgroupId];if(subgroup){var itemIndex=subgroup.items.indexOf(item);if(itemIndex>=0){subgroup.items.splice(itemIndex,1);if(!subgroup.items.length){delete this.subgroups[subgroupId]}else{this._updateSubgroupsSizes()}}}}};Group.prototype.removeFromDataSet=function(item){this.itemSet.removeItem(item.id)};Group.prototype.order=function(){var array=util.toArray(this.items);var startArray=[];var endArray=[];for(var i=0;i<array.length;i++){if(array[i].data.end!==undefined){endArray.push(array[i])}startArray.push(array[i])}this.orderedItems={byStart:startArray,byEnd:endArray};stack.orderByStart(this.orderedItems.byStart);stack.orderByEnd(this.orderedItems.byEnd)};Group.prototype._updateItemsInRange=function(orderedItems,oldVisibleItems,range){var visibleItems=[];var visibleItemsLookup={};var interval=(range.end-range.start)/4;var lowerBound=range.start-interval;var upperBound=range.end+interval;var searchFunction=function searchFunction(value){if(value<lowerBound){return-1}else if(value<=upperBound){return 0}else{return 1}};if(oldVisibleItems.length>0){for(var i=0;i<oldVisibleItems.length;i++){this._checkIfVisibleWithReference(oldVisibleItems[i],visibleItems,visibleItemsLookup,range)}}var initialPosByStart=util.binarySearchCustom(orderedItems.byStart,searchFunction,\"data\",\"start\");this._traceVisible(initialPosByStart,orderedItems.byStart,visibleItems,visibleItemsLookup,function(item){return item.data.start<lowerBound||item.data.start>upperBound});if(this.checkRangedItems==true){this.checkRangedItems=false;for(i=0;i<orderedItems.byEnd.length;i++){this._checkIfVisibleWithReference(orderedItems.byEnd[i],visibleItems,visibleItemsLookup,range)}}else{var initialPosByEnd=util.binarySearchCustom(orderedItems.byEnd,searchFunction,\"data\",\"end\");this._traceVisible(initialPosByEnd,orderedItems.byEnd,visibleItems,visibleItemsLookup,function(item){return item.data.end<lowerBound||item.data.end>upperBound})}var redrawQueue={};var redrawQueueLength=0;for(i=0;i<visibleItems.length;i++){var item=visibleItems[i];if(!item.displayed){var returnQueue=true;redrawQueue[i]=item.redraw(returnQueue);redrawQueueLength=redrawQueue[i].length}}var needRedraw=redrawQueueLength>0;if(needRedraw){for(var j=0;j<redrawQueueLength;j++){util.forEach(redrawQueue,function(fns){fns[j]()})}}for(i=0;i<visibleItems.length;i++){visibleItems[i].repositionX()}return visibleItems};Group.prototype._traceVisible=function(initialPos,items,visibleItems,visibleItemsLookup,breakCondition){if(initialPos!=-1){var i,item;for(i=initialPos;i>=0;i--){item=items[i];if(breakCondition(item)){break}else{if(visibleItemsLookup[item.id]===undefined){visibleItemsLookup[item.id]=true;visibleItems.push(item)}}}for(i=initialPos+1;i<items.length;i++){item=items[i];if(breakCondition(item)){break}else{if(visibleItemsLookup[item.id]===undefined){visibleItemsLookup[item.id]=true;visibleItems.push(item)}}}}};Group.prototype._checkIfVisible=function(item,visibleItems,range){if(item.isVisible(range)){if(!item.displayed)item.show();item.repositionX();visibleItems.push(item)}else{if(item.displayed)item.hide()}};Group.prototype._checkIfVisibleWithReference=function(item,visibleItems,visibleItemsLookup,range){if(item.isVisible(range)){if(visibleItemsLookup[item.id]===undefined){visibleItemsLookup[item.id]=true;visibleItems.push(item)}}else{if(item.displayed)item.hide()}};Group.prototype.changeSubgroup=function(item,oldSubgroup,newSubgroup){this._removeFromSubgroup(item,oldSubgroup);this._addToSubgroup(item,newSubgroup);this.orderSubgroups()};module.exports=Group},function(module,exports,__webpack_require__){\"use strict\";var _create=__webpack_require__(29);var _create2=_interopRequireDefault(_create);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Group=__webpack_require__(68);function BackgroundGroup(groupId,data,itemSet){Group.call(this,groupId,data,itemSet);this.width=0;this.height=0;this.top=0;this.left=0}BackgroundGroup.prototype=(0,_create2[\"default\"])(Group.prototype);BackgroundGroup.prototype.redraw=function(range,margin,forceRestack){var resized=false;this.visibleItems=this._updateItemsInRange(this.orderedItems,this.visibleItems,range);this.width=this.dom.background.offsetWidth;this.dom.background.style.height=\"0\";for(var i=0,ii=this.visibleItems.length;i<ii;i++){var item=this.visibleItems[i];item.repositionY(margin)}return resized};BackgroundGroup.prototype.show=function(){if(!this.dom.background.parentNode){this.itemSet.dom.background.appendChild(this.dom.background)}};module.exports=BackgroundGroup},function(module,exports,__webpack_require__){\"use strict\";var Item=__webpack_require__(38);function RangeItem(data,conversion,options){this.props={content:{width:0}};this.overflow=false;this.options=options;if(data){if(data.start==undefined){throw new Error('Property \"start\" missing in item '+data.id)}if(data.end==undefined){throw new Error('Property \"end\" missing in item '+data.id)}}Item.call(this,data,conversion,options)}RangeItem.prototype=new Item(null,null,null);RangeItem.prototype.baseClassName=\"vis-item vis-range\";RangeItem.prototype.isVisible=function(range){return this.data.start<range.end&&this.data.end>range.start};RangeItem.prototype._createDomElement=function(){if(!this.dom){this.dom={};this.dom.box=document.createElement(\"div\");this.dom.frame=document.createElement(\"div\");this.dom.frame.className=\"vis-item-overflow\";this.dom.box.appendChild(this.dom.frame);this.dom.visibleFrame=document.createElement(\"div\");this.dom.visibleFrame.className=\"vis-item-visible-frame\";this.dom.box.appendChild(this.dom.visibleFrame);this.dom.content=document.createElement(\"div\");this.dom.content.className=\"vis-item-content\";this.dom.frame.appendChild(this.dom.content);this.dom.box[\"timeline-item\"]=this;this.dirty=true}};RangeItem.prototype._appendDomElement=function(){if(!this.parent){throw new Error(\"Cannot redraw item: no parent attached\")}if(!this.dom.box.parentNode){var foreground=this.parent.dom.foreground;if(!foreground){throw new Error(\"Cannot redraw item: parent has no foreground container element\")}foreground.appendChild(this.dom.box)}this.displayed=true};RangeItem.prototype._updateDirtyDomComponents=function(){if(this.dirty){this._updateContents(this.dom.content);this._updateDataAttributes(this.dom.box);this._updateStyle(this.dom.box);var editable=this.editable.updateTime||this.editable.updateGroup;var className=(this.data.className?\" \"+this.data.className:\"\")+(this.selected?\" vis-selected\":\"\")+(editable?\" vis-editable\":\" vis-readonly\");this.dom.box.className=this.baseClassName+className;this.dom.content.style.maxWidth=\"none\"}};RangeItem.prototype._getDomComponentsSizes=function(){this.overflow=window.getComputedStyle(this.dom.frame).overflow!==\"hidden\";return{content:{width:this.dom.content.offsetWidth},box:{height:this.dom.box.offsetHeight}}};RangeItem.prototype._updateDomComponentsSizes=function(sizes){this.props.content.width=sizes.content.width;this.height=sizes.box.height;this.dom.content.style.maxWidth=\"\";this.dirty=false};RangeItem.prototype._repaintDomAdditionals=function(){this._repaintOnItemUpdateTimeTooltip(this.dom.box);this._repaintDeleteButton(this.dom.box);this._repaintDragCenter();this._repaintDragLeft();this._repaintDragRight()};RangeItem.prototype.redraw=function(returnQueue){var sizes;var queue=[this._createDomElement.bind(this),this._appendDomElement.bind(this),this._updateDirtyDomComponents.bind(this),function(){if(this.dirty){sizes=this._getDomComponentsSizes.bind(this)()}}.bind(this),function(){if(this.dirty){this._updateDomComponentsSizes.bind(this)(sizes)}}.bind(this),this._repaintDomAdditionals.bind(this)];if(returnQueue){return queue}else{var result;queue.forEach(function(fn){result=fn()});return result}};RangeItem.prototype.show=function(){if(!this.displayed){this.redraw()}};RangeItem.prototype.hide=function(){if(this.displayed){var box=this.dom.box;if(box.parentNode){box.parentNode.removeChild(box)}this.displayed=false}};RangeItem.prototype.repositionX=function(limitSize){var parentWidth=this.parent.width;var start=this.conversion.toScreen(this.data.start);var end=this.conversion.toScreen(this.data.end);var align=this.data.align===undefined?this.options.align:this.data.align;var contentStartPosition;var contentWidth;if(this.data.limitSize!==false&&(limitSize===undefined||limitSize===true)){if(start<-parentWidth){start=-parentWidth}if(end>2*parentWidth){end=2*parentWidth}}var boxWidth=Math.max(end-start+.5,1);if(this.overflow){if(this.options.rtl){this.right=start}else{this.left=start}this.width=boxWidth+this.props.content.width;contentWidth=this.props.content.width}else{if(this.options.rtl){this.right=start}else{this.left=start}this.width=boxWidth;contentWidth=Math.min(end-start,this.props.content.width)}if(this.options.rtl){this.dom.box.style.right=this.right+\"px\"}else{this.dom.box.style.left=this.left+\"px\"}this.dom.box.style.width=boxWidth+\"px\";switch(align){case\"left\":if(this.options.rtl){this.dom.content.style.right=\"0\"}else{this.dom.content.style.left=\"0\"}break;case\"right\":if(this.options.rtl){this.dom.content.style.right=Math.max(boxWidth-contentWidth,0)+\"px\"}else{this.dom.content.style.left=Math.max(boxWidth-contentWidth,0)+\"px\"}break;case\"center\":if(this.options.rtl){this.dom.content.style.right=Math.max((boxWidth-contentWidth)/2,0)+\"px\"}else{this.dom.content.style.left=Math.max((boxWidth-contentWidth)/2,0)+\"px\"}break;default:if(this.overflow){if(end>0){contentStartPosition=Math.max(-start,0)}else{contentStartPosition=-contentWidth}}else{if(start<0){contentStartPosition=-start}else{contentStartPosition=0}}if(this.options.rtl){this.dom.content.style.right=contentStartPosition+\"px\"}else{this.dom.content.style.left=contentStartPosition+\"px\";this.dom.content.style.width=\"calc(100% - \"+contentStartPosition+\"px)\"}}};RangeItem.prototype.repositionY=function(){var orientation=this.options.orientation.item;var box=this.dom.box;if(orientation==\"top\"){box.style.top=this.top+\"px\"}else{box.style.top=this.parent.height-this.top-this.height+\"px\"}};RangeItem.prototype._repaintDragLeft=function(){if((this.selected||this.options.itemsAlwaysDraggable.range)&&this.options.editable.updateTime&&!this.dom.dragLeft){var dragLeft=document.createElement(\"div\");dragLeft.className=\"vis-drag-left\";dragLeft.dragLeftItem=this;this.dom.box.appendChild(dragLeft);this.dom.dragLeft=dragLeft}else if(!this.selected&&!this.options.itemsAlwaysDraggable.range&&this.dom.dragLeft){if(this.dom.dragLeft.parentNode){this.dom.dragLeft.parentNode.removeChild(this.dom.dragLeft)}this.dom.dragLeft=null}};RangeItem.prototype._repaintDragRight=function(){if((this.selected||this.options.itemsAlwaysDraggable.range)&&this.options.editable.updateTime&&!this.dom.dragRight){var dragRight=document.createElement(\"div\");dragRight.className=\"vis-drag-right\";dragRight.dragRightItem=this;this.dom.box.appendChild(dragRight);this.dom.dragRight=dragRight}else if(!this.selected&&!this.options.itemsAlwaysDraggable.range&&this.dom.dragRight){if(this.dom.dragRight.parentNode){this.dom.dragRight.parentNode.removeChild(this.dom.dragRight)}this.dom.dragRight=null}};module.exports=RangeItem},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _stringify=__webpack_require__(19);var _stringify2=_interopRequireDefault(_stringify);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var ColorPicker=__webpack_require__(179)[\"default\"];var Configurator=function(){function Configurator(parentModule,defaultContainer,configureOptions){var pixelRatio=arguments.length>3&&arguments[3]!==undefined?arguments[3]:1;(0,_classCallCheck3[\"default\"])(this,Configurator);this.parent=parentModule;this.changedOptions=[];this.container=defaultContainer;this.allowCreation=false;this.options={};this.initialized=false;this.popupCounter=0;this.defaultOptions={enabled:false,filter:true,container:undefined,showButton:true};util.extend(this.options,this.defaultOptions);this.configureOptions=configureOptions;this.moduleOptions={};this.domElements=[];this.popupDiv={};this.popupLimit=5;this.popupHistory={};this.colorPicker=new ColorPicker(pixelRatio);this.wrapper=undefined}(0,_createClass3[\"default\"])(Configurator,[{key:\"setOptions\",value:function setOptions(options){if(options!==undefined){this.popupHistory={};this._removePopup();var enabled=true;if(typeof options===\"string\"){this.options.filter=options}else if(options instanceof Array){this.options.filter=options.join()}else if((typeof options===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(options))===\"object\"){if(options.container!==undefined){this.options.container=options.container}if(options.filter!==undefined){this.options.filter=options.filter}if(options.showButton!==undefined){this.options.showButton=options.showButton}if(options.enabled!==undefined){enabled=options.enabled}}else if(typeof options===\"boolean\"){this.options.filter=true;enabled=options}else if(typeof options===\"function\"){this.options.filter=options;enabled=true}if(this.options.filter===false){enabled=false}this.options.enabled=enabled}this._clean()}},{key:\"setModuleOptions\",value:function setModuleOptions(moduleOptions){this.moduleOptions=moduleOptions;if(this.options.enabled===true){this._clean();if(this.options.container!==undefined){this.container=this.options.container}this._create()}}},{key:\"_create\",value:function _create(){var _this=this;this._clean();this.changedOptions=[];var filter=this.options.filter;var counter=0;var show=false;for(var option in this.configureOptions){if(this.configureOptions.hasOwnProperty(option)){this.allowCreation=false;show=false;if(typeof filter===\"function\"){show=filter(option,[]);show=show||this._handleObject(this.configureOptions[option],[option],true)}else if(filter===true||filter.indexOf(option)!==-1){show=true}if(show!==false){this.allowCreation=true;if(counter>0){this._makeItem([])}this._makeHeader(option);this._handleObject(this.configureOptions[option],[option])}counter++}}if(this.options.showButton===true){var generateButton=document.createElement(\"div\");generateButton.className=\"vis-configuration vis-config-button\";generateButton.innerHTML=\"generate options\";generateButton.onclick=function(){_this._printOptions()};generateButton.onmouseover=function(){generateButton.className=\"vis-configuration vis-config-button hover\"};generateButton.onmouseout=function(){generateButton.className=\"vis-configuration vis-config-button\"};this.optionsContainer=document.createElement(\"div\");this.optionsContainer.className=\"vis-configuration vis-config-option-container\";this.domElements.push(this.optionsContainer);this.domElements.push(generateButton)}this._push()}},{key:\"_push\",value:function _push(){this.wrapper=document.createElement(\"div\");this.wrapper.className=\"vis-configuration-wrapper\";this.container.appendChild(this.wrapper);for(var i=0;i<this.domElements.length;i++){this.wrapper.appendChild(this.domElements[i])}this._showPopupIfNeeded()}},{key:\"_clean\",value:function _clean(){for(var i=0;i<this.domElements.length;i++){this.wrapper.removeChild(this.domElements[i])}if(this.wrapper!==undefined){this.container.removeChild(this.wrapper);this.wrapper=undefined}this.domElements=[];this._removePopup()}},{key:\"_getValue\",value:function _getValue(path){var base=this.moduleOptions;for(var i=0;i<path.length;i++){if(base[path[i]]!==undefined){base=base[path[i]]}else{base=undefined;break}}return base}},{key:\"_makeItem\",value:function _makeItem(path){if(this.allowCreation===true){var item=document.createElement(\"div\");item.className=\"vis-configuration vis-config-item vis-config-s\"+path.length;for(var _len=arguments.length,domElements=Array(_len>1?_len-1:0),_key=1;_key<_len;_key++){domElements[_key-1]=arguments[_key]}domElements.forEach(function(element){item.appendChild(element)});this.domElements.push(item);return this.domElements.length}return 0}},{key:\"_makeHeader\",value:function _makeHeader(name){var div=document.createElement(\"div\");div.className=\"vis-configuration vis-config-header\";div.innerHTML=name;this._makeItem([],div)}},{key:\"_makeLabel\",value:function _makeLabel(name,path){var objectLabel=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;var div=document.createElement(\"div\");div.className=\"vis-configuration vis-config-label vis-config-s\"+path.length;if(objectLabel===true){div.innerHTML=\"<i><b>\"+name+\":</b></i>\"}else{div.innerHTML=name+\":\"}return div}},{key:\"_makeDropdown\",value:function _makeDropdown(arr,value,path){var select=document.createElement(\"select\");select.className=\"vis-configuration vis-config-select\";var selectedValue=0;if(value!==undefined){if(arr.indexOf(value)!==-1){selectedValue=arr.indexOf(value)}}for(var i=0;i<arr.length;i++){var option=document.createElement(\"option\");option.value=arr[i];if(i===selectedValue){option.selected=\"selected\"}option.innerHTML=arr[i];select.appendChild(option)}var me=this;select.onchange=function(){me._update(this.value,path)};var label=this._makeLabel(path[path.length-1],path);this._makeItem(path,label,select)}},{key:\"_makeRange\",value:function _makeRange(arr,value,path){var defaultValue=arr[0];var min=arr[1];var max=arr[2];var step=arr[3];var range=document.createElement(\"input\");range.className=\"vis-configuration vis-config-range\";try{range.type=\"range\";range.min=min;range.max=max}catch(err){}range.step=step;var popupString=\"\";var popupValue=0;if(value!==undefined){var factor=1.2;if(value<0&&value*factor<min){range.min=Math.ceil(value*factor);popupValue=range.min;popupString=\"range increased\"}else if(value/factor<min){range.min=Math.ceil(value/factor);popupValue=range.min;popupString=\"range increased\"}if(value*factor>max&&max!==1){range.max=Math.ceil(value*factor);popupValue=range.max;popupString=\"range increased\"}range.value=value}else{range.value=defaultValue}var input=document.createElement(\"input\");input.className=\"vis-configuration vis-config-rangeinput\";input.value=range.value;var me=this;range.onchange=function(){input.value=this.value;me._update(Number(this.value),path)};range.oninput=function(){input.value=this.value};var label=this._makeLabel(path[path.length-1],path);var itemIndex=this._makeItem(path,label,range,input);if(popupString!==\"\"&&this.popupHistory[itemIndex]!==popupValue){this.popupHistory[itemIndex]=popupValue;this._setupPopup(popupString,itemIndex)}}},{key:\"_setupPopup\",value:function _setupPopup(string,index){var _this2=this;if(this.initialized===true&&this.allowCreation===true&&this.popupCounter<this.popupLimit){var div=document.createElement(\"div\");div.id=\"vis-configuration-popup\";div.className=\"vis-configuration-popup\";div.innerHTML=string;div.onclick=function(){_this2._removePopup()};this.popupCounter+=1;this.popupDiv={html:div,index:index}}}},{key:\"_removePopup\",value:function _removePopup(){if(this.popupDiv.html!==undefined){this.popupDiv.html.parentNode.removeChild(this.popupDiv.html);clearTimeout(this.popupDiv.hideTimeout);clearTimeout(this.popupDiv.deleteTimeout);this.popupDiv={}}}},{key:\"_showPopupIfNeeded\",value:function _showPopupIfNeeded(){var _this3=this;if(this.popupDiv.html!==undefined){var correspondingElement=this.domElements[this.popupDiv.index];var rect=correspondingElement.getBoundingClientRect();this.popupDiv.html.style.left=rect.left+\"px\";this.popupDiv.html.style.top=rect.top-30+\"px\";document.body.appendChild(this.popupDiv.html);this.popupDiv.hideTimeout=setTimeout(function(){_this3.popupDiv.html.style.opacity=0},1500);this.popupDiv.deleteTimeout=setTimeout(function(){_this3._removePopup()},1800)}}},{key:\"_makeCheckbox\",value:function _makeCheckbox(defaultValue,value,path){var checkbox=document.createElement(\"input\");checkbox.type=\"checkbox\";checkbox.className=\"vis-configuration vis-config-checkbox\";checkbox.checked=defaultValue;if(value!==undefined){checkbox.checked=value;if(value!==defaultValue){if((typeof defaultValue===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(defaultValue))===\"object\"){if(value!==defaultValue.enabled){this.changedOptions.push({path:path,value:value})}}else{this.changedOptions.push({path:path,value:value})}}}var me=this;checkbox.onchange=function(){me._update(this.checked,path)};var label=this._makeLabel(path[path.length-1],path);this._makeItem(path,label,checkbox)}},{key:\"_makeTextInput\",value:function _makeTextInput(defaultValue,value,path){var checkbox=document.createElement(\"input\");checkbox.type=\"text\";checkbox.className=\"vis-configuration vis-config-text\";checkbox.value=value;if(value!==defaultValue){this.changedOptions.push({path:path,value:value})}var me=this;checkbox.onchange=function(){me._update(this.value,path)};var label=this._makeLabel(path[path.length-1],path);this._makeItem(path,label,checkbox)}},{key:\"_makeColorField\",value:function _makeColorField(arr,value,path){var _this4=this;var defaultColor=arr[1];var div=document.createElement(\"div\");value=value===undefined?defaultColor:value;if(value!==\"none\"){div.className=\"vis-configuration vis-config-colorBlock\";div.style.backgroundColor=value}else{div.className=\"vis-configuration vis-config-colorBlock none\"}value=value===undefined?defaultColor:value;div.onclick=function(){_this4._showColorPicker(value,div,path)};var label=this._makeLabel(path[path.length-1],path);this._makeItem(path,label,div)}},{key:\"_showColorPicker\",value:function _showColorPicker(value,div,path){var _this5=this;div.onclick=function(){};this.colorPicker.insertTo(div);this.colorPicker.show();this.colorPicker.setColor(value);this.colorPicker.setUpdateCallback(function(color){\nvar colorString=\"rgba(\"+color.r+\",\"+color.g+\",\"+color.b+\",\"+color.a+\")\";div.style.backgroundColor=colorString;_this5._update(colorString,path)});this.colorPicker.setCloseCallback(function(){div.onclick=function(){_this5._showColorPicker(value,div,path)}})}},{key:\"_handleObject\",value:function _handleObject(obj){var path=arguments.length>1&&arguments[1]!==undefined?arguments[1]:[];var checkOnly=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;var show=false;var filter=this.options.filter;var visibleInSet=false;for(var subObj in obj){if(obj.hasOwnProperty(subObj)){show=true;var item=obj[subObj];var newPath=util.copyAndExtendArray(path,subObj);if(typeof filter===\"function\"){show=filter(subObj,path);if(show===false){if(!(item instanceof Array)&&typeof item!==\"string\"&&typeof item!==\"boolean\"&&item instanceof Object){this.allowCreation=false;show=this._handleObject(item,newPath,true);this.allowCreation=checkOnly===false}}}if(show!==false){visibleInSet=true;var value=this._getValue(newPath);if(item instanceof Array){this._handleArray(item,value,newPath)}else if(typeof item===\"string\"){this._makeTextInput(item,value,newPath)}else if(typeof item===\"boolean\"){this._makeCheckbox(item,value,newPath)}else if(item instanceof Object){var draw=true;if(path.indexOf(\"physics\")!==-1){if(this.moduleOptions.physics.solver!==subObj){draw=false}}if(draw===true){if(item.enabled!==undefined){var enabledPath=util.copyAndExtendArray(newPath,\"enabled\");var enabledValue=this._getValue(enabledPath);if(enabledValue===true){var label=this._makeLabel(subObj,newPath,true);this._makeItem(newPath,label);visibleInSet=this._handleObject(item,newPath)||visibleInSet}else{this._makeCheckbox(item,enabledValue,newPath)}}else{var _label=this._makeLabel(subObj,newPath,true);this._makeItem(newPath,_label);visibleInSet=this._handleObject(item,newPath)||visibleInSet}}}else{console.error(\"dont know how to handle\",item,subObj,newPath)}}}}return visibleInSet}},{key:\"_handleArray\",value:function _handleArray(arr,value,path){if(typeof arr[0]===\"string\"&&arr[0]===\"color\"){this._makeColorField(arr,value,path);if(arr[1]!==value){this.changedOptions.push({path:path,value:value})}}else if(typeof arr[0]===\"string\"){this._makeDropdown(arr,value,path);if(arr[0]!==value){this.changedOptions.push({path:path,value:value})}}else if(typeof arr[0]===\"number\"){this._makeRange(arr,value,path);if(arr[0]!==value){this.changedOptions.push({path:path,value:Number(value)})}}}},{key:\"_update\",value:function _update(value,path){var options=this._constructOptions(value,path);if(this.parent.body&&this.parent.body.emitter&&this.parent.body.emitter.emit){this.parent.body.emitter.emit(\"configChange\",options)}this.initialized=true;this.parent.setOptions(options)}},{key:\"_constructOptions\",value:function _constructOptions(value,path){var optionsObj=arguments.length>2&&arguments[2]!==undefined?arguments[2]:{};var pointer=optionsObj;value=value===\"true\"?true:value;value=value===\"false\"?false:value;for(var i=0;i<path.length;i++){if(path[i]!==\"global\"){if(pointer[path[i]]===undefined){pointer[path[i]]={}}if(i!==path.length-1){pointer=pointer[path[i]]}else{pointer[path[i]]=value}}}return optionsObj}},{key:\"_printOptions\",value:function _printOptions(){var options=this.getOptions();this.optionsContainer.innerHTML=\"<pre>var options = \"+(0,_stringify2[\"default\"])(options,null,2)+\"</pre>\"}},{key:\"getOptions\",value:function getOptions(){var options={};for(var i=0;i<this.changedOptions.length;i++){this._constructOptions(this.changedOptions[i].value,this.changedOptions[i].path,options)}return options}}]);return Configurator}();exports[\"default\"]=Configurator},function(module,exports,__webpack_require__){\"use strict\";var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var DOMutil=__webpack_require__(14);function Points(groupId,options){}Points.draw=function(dataset,group,framework,offset){offset=offset||0;var callback=getCallback(framework,group);for(var i=0;i<dataset.length;i++){if(!callback){DOMutil.drawPoint(dataset[i].screen_x+offset,dataset[i].screen_y,getGroupTemplate(group),framework.svgElements,framework.svg,dataset[i].label)}else{var callbackResult=callback(dataset[i],group);if(callbackResult===true||(typeof callbackResult===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(callbackResult))===\"object\"){DOMutil.drawPoint(dataset[i].screen_x+offset,dataset[i].screen_y,getGroupTemplate(group,callbackResult),framework.svgElements,framework.svg,dataset[i].label)}}}};Points.drawIcon=function(group,x,y,iconWidth,iconHeight,framework){var fillHeight=iconHeight*.5;var outline=DOMutil.getSVGElement(\"rect\",framework.svgElements,framework.svg);outline.setAttributeNS(null,\"x\",x);outline.setAttributeNS(null,\"y\",y-fillHeight);outline.setAttributeNS(null,\"width\",iconWidth);outline.setAttributeNS(null,\"height\",2*fillHeight);outline.setAttributeNS(null,\"class\",\"vis-outline\");DOMutil.drawPoint(x+.5*iconWidth,y,getGroupTemplate(group),framework.svgElements,framework.svg)};function getGroupTemplate(group,callbackResult){callbackResult=typeof callbackResult===\"undefined\"?{}:callbackResult;return{style:callbackResult.style||group.options.drawPoints.style,styles:callbackResult.styles||group.options.drawPoints.styles,size:callbackResult.size||group.options.drawPoints.size,className:callbackResult.className||group.className}}function getCallback(framework,group){var callback=undefined;if(framework.options&&framework.options.drawPoints&&framework.options.drawPoints.onRender&&typeof framework.options.drawPoints.onRender==\"function\"){callback=framework.options.drawPoints.onRender}if(group.group.options&&group.group.options.drawPoints&&group.group.options.drawPoints.onRender&&typeof group.group.options.drawPoints.onRender==\"function\"){callback=group.group.options.drawPoints.onRender}return callback}module.exports=Points},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _NodeBase2=__webpack_require__(23);var _NodeBase3=_interopRequireDefault(_NodeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var CircleImageBase=function(_NodeBase){(0,_inherits3[\"default\"])(CircleImageBase,_NodeBase);function CircleImageBase(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,CircleImageBase);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(CircleImageBase.__proto__||(0,_getPrototypeOf2[\"default\"])(CircleImageBase)).call(this,options,body,labelModule));_this.labelOffset=0;_this.selected=false;return _this}(0,_createClass3[\"default\"])(CircleImageBase,[{key:\"setOptions\",value:function setOptions(options,imageObj,imageObjAlt){this.options=options;if(!(imageObj===undefined&&imageObjAlt===undefined)){this.setImages(imageObj,imageObjAlt)}}},{key:\"setImages\",value:function setImages(imageObj,imageObjAlt){if(imageObjAlt&&this.selected){this.imageObj=imageObjAlt;this.imageObjAlt=imageObj}else{this.imageObj=imageObj;this.imageObjAlt=imageObjAlt}}},{key:\"switchImages\",value:function switchImages(selected){var selection_changed=selected&&!this.selected||!selected&&this.selected;this.selected=selected;if(this.imageObjAlt!==undefined&&selection_changed){var imageTmp=this.imageObj;this.imageObj=this.imageObjAlt;this.imageObjAlt=imageTmp}}},{key:\"_resizeImage\",value:function _resizeImage(){var width,height;if(this.options.shapeProperties.useImageSize===false){var ratio_width=1;var ratio_height=1;if(this.imageObj.width&&this.imageObj.height){if(this.imageObj.width>this.imageObj.height){ratio_width=this.imageObj.width/this.imageObj.height}else{ratio_height=this.imageObj.height/this.imageObj.width}}width=this.options.size*2*ratio_width;height=this.options.size*2*ratio_height}else{width=this.imageObj.width;height=this.imageObj.height}this.width=width;this.height=height;this.radius=.5*this.width}},{key:\"_drawRawCircle\",value:function _drawRawCircle(ctx,x,y,values){this.initContextForDraw(ctx,values);ctx.circle(x,y,values.size);this.performFill(ctx,values)}},{key:\"_drawImageAtPosition\",value:function _drawImageAtPosition(ctx,values){if(this.imageObj.width!=0){ctx.globalAlpha=1;this.enableShadow(ctx,values);var factor=1;if(this.options.shapeProperties.interpolation===true){factor=this.imageObj.width/this.width/this.body.view.scale}this.imageObj.drawImageAtPosition(ctx,factor,this.left,this.top,this.width,this.height);this.disableShadow(ctx,values)}}},{key:\"_drawImageLabel\",value:function _drawImageLabel(ctx,x,y,selected,hover){var yLabel;var offset=0;if(this.height!==undefined){offset=this.height*.5;var labelDimensions=this.labelModule.getTextSize(ctx,selected,hover);if(labelDimensions.lineCount>=1){offset+=labelDimensions.height/2}}yLabel=y+offset;if(this.options.label){this.labelOffset=offset}this.labelModule.draw(ctx,x,yLabel,selected,hover,\"hanging\")}}]);return CircleImageBase}(_NodeBase3[\"default\"]);exports[\"default\"]=CircleImageBase},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _stringify=__webpack_require__(19);var _stringify2=_interopRequireDefault(_stringify);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _create=__webpack_require__(29);var _create2=_interopRequireDefault(_create);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Label=__webpack_require__(117)[\"default\"];var ComponentUtil=__webpack_require__(48)[\"default\"];var CubicBezierEdge=__webpack_require__(215)[\"default\"];var BezierEdgeDynamic=__webpack_require__(217)[\"default\"];var BezierEdgeStatic=__webpack_require__(218)[\"default\"];var StraightEdge=__webpack_require__(219)[\"default\"];var Edge=function(){function Edge(options,body,globalOptions,defaultOptions){(0,_classCallCheck3[\"default\"])(this,Edge);if(body===undefined){throw new Error(\"No body provided\")}this.options=util.bridgeObject(globalOptions);this.globalOptions=globalOptions;this.defaultOptions=defaultOptions;this.body=body;this.id=undefined;this.fromId=undefined;this.toId=undefined;this.selected=false;this.hover=false;this.labelDirty=true;this.baseWidth=this.options.width;this.baseFontSize=this.options.font.size;this.from=undefined;this.to=undefined;this.edgeType=undefined;this.connected=false;this.labelModule=new Label(this.body,this.options,true);this.setOptions(options)}(0,_createClass3[\"default\"])(Edge,[{key:\"setOptions\",value:function setOptions(options){if(!options){return}Edge.parseOptions(this.options,options,true,this.globalOptions);if(options.id!==undefined){this.id=options.id}if(options.from!==undefined){this.fromId=options.from}if(options.to!==undefined){this.toId=options.to}if(options.title!==undefined){this.title=options.title}if(options.value!==undefined){options.value=parseFloat(options.value)}var pile=[options,this.options,this.defaultOptions];this.chooser=ComponentUtil.choosify(\"edge\",pile);this.updateLabelModule(options);var dataChanged=this.updateEdgeType();this._setInteractionWidths();this.connect();if(options.hidden!==undefined||options.physics!==undefined){dataChanged=true}return dataChanged}},{key:\"getFormattingValues\",value:function getFormattingValues(){var toArrow=this.options.arrows.to===true||this.options.arrows.to.enabled===true;var fromArrow=this.options.arrows.from===true||this.options.arrows.from.enabled===true;var middleArrow=this.options.arrows.middle===true||this.options.arrows.middle.enabled===true;var inheritsColor=this.options.color.inherit;var values={toArrow:toArrow,toArrowScale:this.options.arrows.to.scaleFactor,toArrowType:this.options.arrows.to.type,middleArrow:middleArrow,middleArrowScale:this.options.arrows.middle.scaleFactor,middleArrowType:this.options.arrows.middle.type,fromArrow:fromArrow,fromArrowScale:this.options.arrows.from.scaleFactor,fromArrowType:this.options.arrows.from.type,arrowStrikethrough:this.options.arrowStrikethrough,color:inheritsColor?undefined:this.options.color.color,inheritsColor:inheritsColor,opacity:this.options.color.opacity,hidden:this.options.hidden,length:this.options.length,shadow:this.options.shadow.enabled,shadowColor:this.options.shadow.color,shadowSize:this.options.shadow.size,shadowX:this.options.shadow.x,shadowY:this.options.shadow.y,dashes:this.options.dashes,width:this.options.width};if(this.selected||this.hover){if(this.chooser===true){if(this.selected){var selectedWidth=this.options.selectionWidth;if(typeof selectedWidth===\"function\"){values.width=selectedWidth(values.width)}else if(typeof selectedWidth===\"number\"){values.width+=selectedWidth}values.width=Math.max(values.width,.3/this.body.view.scale);values.color=this.options.color.highlight;values.shadow=this.options.shadow.enabled}else if(this.hover){var hoverWidth=this.options.hoverWidth;if(typeof hoverWidth===\"function\"){values.width=hoverWidth(values.width)}else if(typeof hoverWidth===\"number\"){values.width+=hoverWidth}values.width=Math.max(values.width,.3/this.body.view.scale);values.color=this.options.color.hover;values.shadow=this.options.shadow.enabled}}else if(typeof this.chooser===\"function\"){this.chooser(values,this.options.id,this.selected,this.hover);if(values.color!==undefined){values.inheritsColor=false}if(values.shadow===false){if(values.shadowColor!==this.options.shadow.color||values.shadowSize!==this.options.shadow.size||values.shadowX!==this.options.shadow.x||values.shadowY!==this.options.shadow.y){values.shadow=true}}}}else{values.shadow=this.options.shadow.enabled;values.width=Math.max(values.width,.3/this.body.view.scale)}return values}},{key:\"updateLabelModule\",value:function updateLabelModule(options){var pile=[options,this.options,this.globalOptions,this.defaultOptions];this.labelModule.update(this.options,pile);if(this.labelModule.baseSize!==undefined){this.baseFontSize=this.labelModule.baseSize}}},{key:\"updateEdgeType\",value:function updateEdgeType(){var smooth=this.options.smooth;var dataChanged=false;var changeInType=true;if(this.edgeType!==undefined){if(this.edgeType instanceof BezierEdgeDynamic&&smooth.enabled===true&&smooth.type===\"dynamic\"||this.edgeType instanceof CubicBezierEdge&&smooth.enabled===true&&smooth.type===\"cubicBezier\"||this.edgeType instanceof BezierEdgeStatic&&smooth.enabled===true&&smooth.type!==\"dynamic\"&&smooth.type!==\"cubicBezier\"||this.edgeType instanceof StraightEdge&&smooth.type.enabled===false){changeInType=false}if(changeInType===true){dataChanged=this.cleanup()}}if(changeInType===true){if(smooth.enabled===true){if(smooth.type===\"dynamic\"){dataChanged=true;this.edgeType=new BezierEdgeDynamic(this.options,this.body,this.labelModule)}else if(smooth.type===\"cubicBezier\"){this.edgeType=new CubicBezierEdge(this.options,this.body,this.labelModule)}else{this.edgeType=new BezierEdgeStatic(this.options,this.body,this.labelModule)}}else{this.edgeType=new StraightEdge(this.options,this.body,this.labelModule)}}else{this.edgeType.setOptions(this.options)}return dataChanged}},{key:\"connect\",value:function connect(){this.disconnect();this.from=this.body.nodes[this.fromId]||undefined;this.to=this.body.nodes[this.toId]||undefined;this.connected=this.from!==undefined&&this.to!==undefined;if(this.connected===true){this.from.attachEdge(this);this.to.attachEdge(this)}else{if(this.from){this.from.detachEdge(this)}if(this.to){this.to.detachEdge(this)}}this.edgeType.connect()}},{key:\"disconnect\",value:function disconnect(){if(this.from){this.from.detachEdge(this);this.from=undefined}if(this.to){this.to.detachEdge(this);this.to=undefined}this.connected=false}},{key:\"getTitle\",value:function getTitle(){return this.title}},{key:\"isSelected\",value:function isSelected(){return this.selected}},{key:\"getValue\",value:function getValue(){return this.options.value}},{key:\"setValueRange\",value:function setValueRange(min,max,total){if(this.options.value!==undefined){var scale=this.options.scaling.customScalingFunction(min,max,total,this.options.value);var widthDiff=this.options.scaling.max-this.options.scaling.min;if(this.options.scaling.label.enabled===true){var fontDiff=this.options.scaling.label.max-this.options.scaling.label.min;this.options.font.size=this.options.scaling.label.min+scale*fontDiff}this.options.width=this.options.scaling.min+scale*widthDiff}else{this.options.width=this.baseWidth;this.options.font.size=this.baseFontSize}this._setInteractionWidths();this.updateLabelModule()}},{key:\"_setInteractionWidths\",value:function _setInteractionWidths(){if(typeof this.options.hoverWidth===\"function\"){this.edgeType.hoverWidth=this.options.hoverWidth(this.options.width)}else{this.edgeType.hoverWidth=this.options.hoverWidth+this.options.width}if(typeof this.options.selectionWidth===\"function\"){this.edgeType.selectionWidth=this.options.selectionWidth(this.options.width)}else{this.edgeType.selectionWidth=this.options.selectionWidth+this.options.width}}},{key:\"draw\",value:function draw(ctx){var values=this.getFormattingValues();if(values.hidden){return}var viaNode=this.edgeType.getViaNode();var arrowData={};this.edgeType.fromPoint=this.edgeType.from;this.edgeType.toPoint=this.edgeType.to;if(values.fromArrow){arrowData.from=this.edgeType.getArrowData(ctx,\"from\",viaNode,this.selected,this.hover,values);if(values.arrowStrikethrough===false)this.edgeType.fromPoint=arrowData.from.core}if(values.toArrow){arrowData.to=this.edgeType.getArrowData(ctx,\"to\",viaNode,this.selected,this.hover,values);if(values.arrowStrikethrough===false)this.edgeType.toPoint=arrowData.to.core}if(values.middleArrow){arrowData.middle=this.edgeType.getArrowData(ctx,\"middle\",viaNode,this.selected,this.hover,values)}this.edgeType.drawLine(ctx,values,this.selected,this.hover,viaNode);this.drawArrows(ctx,arrowData,values);this.drawLabel(ctx,viaNode)}},{key:\"drawArrows\",value:function drawArrows(ctx,arrowData,values){if(values.fromArrow){this.edgeType.drawArrowHead(ctx,values,this.selected,this.hover,arrowData.from)}if(values.middleArrow){this.edgeType.drawArrowHead(ctx,values,this.selected,this.hover,arrowData.middle)}if(values.toArrow){this.edgeType.drawArrowHead(ctx,values,this.selected,this.hover,arrowData.to)}}},{key:\"drawLabel\",value:function drawLabel(ctx,viaNode){if(this.options.label!==undefined){var node1=this.from;var node2=this.to;if(this.labelModule.differentState(this.selected,this.hover)){this.labelModule.getTextSize(ctx,this.selected,this.hover)}if(node1.id!=node2.id){this.labelModule.pointToSelf=false;var point=this.edgeType.getPoint(.5,viaNode);ctx.save();var rotationPoint=this._getRotation(ctx);if(rotationPoint.angle!=0){ctx.translate(rotationPoint.x,rotationPoint.y);ctx.rotate(rotationPoint.angle)}this.labelModule.draw(ctx,point.x,point.y,this.selected,this.hover);ctx.restore()}else{this.labelModule.pointToSelf=true;var x,y;var radius=this.options.selfReferenceSize;if(node1.shape.width>node1.shape.height){x=node1.x+node1.shape.width*.5;y=node1.y-radius}else{x=node1.x+radius;y=node1.y-node1.shape.height*.5}point=this._pointOnCircle(x,y,radius,.125);this.labelModule.draw(ctx,point.x,point.y,this.selected,this.hover)}}}},{key:\"getItemsOnPoint\",value:function getItemsOnPoint(point){var ret=[];if(this.labelModule.visible()){var rotationPoint=this._getRotation();if(ComponentUtil.pointInRect(this.labelModule.getSize(),point,rotationPoint)){ret.push({edgeId:this.id,labelId:0})}}var obj={left:point.x,top:point.y};if(this.isOverlappingWith(obj)){ret.push({edgeId:this.id})}return ret}},{key:\"isOverlappingWith\",value:function isOverlappingWith(obj){if(this.connected){var distMax=10;var xFrom=this.from.x;var yFrom=this.from.y;var xTo=this.to.x;var yTo=this.to.y;var xObj=obj.left;var yObj=obj.top;var dist=this.edgeType.getDistanceToEdge(xFrom,yFrom,xTo,yTo,xObj,yObj);return dist<distMax}else{return false}}},{key:\"_getRotation\",value:function _getRotation(ctx){var viaNode=this.edgeType.getViaNode();var point=this.edgeType.getPoint(.5,viaNode);if(ctx!==undefined){this.labelModule.calculateLabelSize(ctx,this.selected,this.hover,point.x,point.y)}var ret={x:point.x,y:this.labelModule.size.yLine,angle:0};if(!this.labelModule.visible()){return ret}if(this.options.font.align===\"horizontal\"){return ret}var dy=this.from.y-this.to.y;var dx=this.from.x-this.to.x;var angle=Math.atan2(dy,dx);if(angle<-1&&dx<0||angle>0&&dx<0){angle+=Math.PI}ret.angle=angle;return ret}},{key:\"_pointOnCircle\",value:function _pointOnCircle(x,y,radius,percentage){var angle=percentage*2*Math.PI;return{x:x+radius*Math.cos(angle),y:y-radius*Math.sin(angle)}}},{key:\"select\",value:function select(){this.selected=true}},{key:\"unselect\",value:function unselect(){this.selected=false}},{key:\"cleanup\",value:function cleanup(){return this.edgeType.cleanup()}},{key:\"remove\",value:function remove(){this.cleanup();this.disconnect();delete this.body.edges[this.id]}},{key:\"endPointsValid\",value:function endPointsValid(){return this.body.nodes[this.fromId]!==undefined&&this.body.nodes[this.toId]!==undefined}}],[{key:\"parseOptions\",value:function parseOptions(parentOptions,newOptions){var allowDeletion=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;var globalOptions=arguments.length>3&&arguments[3]!==undefined?arguments[3]:{};var copyFromGlobals=arguments.length>4&&arguments[4]!==undefined?arguments[4]:false;var fields=[\"arrowStrikethrough\",\"id\",\"from\",\"hidden\",\"hoverWidth\",\"labelHighlightBold\",\"length\",\"line\",\"opacity\",\"physics\",\"scaling\",\"selectionWidth\",\"selfReferenceSize\",\"to\",\"title\",\"value\",\"width\",\"font\",\"chosen\",\"widthConstraint\"];util.selectiveDeepExtend(fields,parentOptions,newOptions,allowDeletion);if(ComponentUtil.isValidLabel(newOptions.label)){parentOptions.label=newOptions.label}else{parentOptions.label=undefined}util.mergeOptions(parentOptions,newOptions,\"smooth\",globalOptions);util.mergeOptions(parentOptions,newOptions,\"shadow\",globalOptions);if(newOptions.dashes!==undefined&&newOptions.dashes!==null){parentOptions.dashes=newOptions.dashes}else if(allowDeletion===true&&newOptions.dashes===null){parentOptions.dashes=(0,_create2[\"default\"])(globalOptions.dashes)}if(newOptions.scaling!==undefined&&newOptions.scaling!==null){if(newOptions.scaling.min!==undefined){parentOptions.scaling.min=newOptions.scaling.min}if(newOptions.scaling.max!==undefined){parentOptions.scaling.max=newOptions.scaling.max}util.mergeOptions(parentOptions.scaling,newOptions.scaling,\"label\",globalOptions.scaling)}else if(allowDeletion===true&&newOptions.scaling===null){parentOptions.scaling=(0,_create2[\"default\"])(globalOptions.scaling)}if(newOptions.arrows!==undefined&&newOptions.arrows!==null){if(typeof newOptions.arrows===\"string\"){var arrows=newOptions.arrows.toLowerCase();parentOptions.arrows.to.enabled=arrows.indexOf(\"to\")!=-1;parentOptions.arrows.middle.enabled=arrows.indexOf(\"middle\")!=-1;parentOptions.arrows.from.enabled=arrows.indexOf(\"from\")!=-1}else if((0,_typeof3[\"default\"])(newOptions.arrows)===\"object\"){util.mergeOptions(parentOptions.arrows,newOptions.arrows,\"to\",globalOptions.arrows);util.mergeOptions(parentOptions.arrows,newOptions.arrows,\"middle\",globalOptions.arrows);util.mergeOptions(parentOptions.arrows,newOptions.arrows,\"from\",globalOptions.arrows)}else{throw new Error(\"The arrow newOptions can only be an object or a string. Refer to the documentation. You used:\"+(0,_stringify2[\"default\"])(newOptions.arrows))}}else if(allowDeletion===true&&newOptions.arrows===null){parentOptions.arrows=(0,_create2[\"default\"])(globalOptions.arrows)}if(newOptions.color!==undefined&&newOptions.color!==null){var fromColor=newOptions.color;var toColor=parentOptions.color;if(copyFromGlobals){util.deepExtend(toColor,globalOptions.color,false,allowDeletion)}else{for(var i in toColor){if(toColor.hasOwnProperty(i)){delete toColor[i]}}}if(util.isString(toColor)){toColor.color=toColor;toColor.highlight=toColor;toColor.hover=toColor;toColor.inherit=false;if(fromColor.opacity===undefined){toColor.opacity=1}}else{var colorsDefined=false;if(fromColor.color!==undefined){toColor.color=fromColor.color;colorsDefined=true}if(fromColor.highlight!==undefined){toColor.highlight=fromColor.highlight;colorsDefined=true}if(fromColor.hover!==undefined){toColor.hover=fromColor.hover;colorsDefined=true}if(fromColor.inherit!==undefined){toColor.inherit=fromColor.inherit}if(fromColor.opacity!==undefined){toColor.opacity=Math.min(1,Math.max(0,fromColor.opacity))}if(colorsDefined===true){toColor.inherit=false}else{if(toColor.inherit===undefined){toColor.inherit=\"from\"}}}}else if(allowDeletion===true&&newOptions.color===null){parentOptions.color=util.bridgeObject(globalOptions.color)}if(allowDeletion===true&&newOptions.font===null){parentOptions.font=util.bridgeObject(globalOptions.font)}}}]);return Edge}();exports[\"default\"]=Edge},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _EdgeBase2=__webpack_require__(118);var _EdgeBase3=_interopRequireDefault(_EdgeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var BezierEdgeBase=function(_EdgeBase){(0,_inherits3[\"default\"])(BezierEdgeBase,_EdgeBase);function BezierEdgeBase(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,BezierEdgeBase);return(0,_possibleConstructorReturn3[\"default\"])(this,(BezierEdgeBase.__proto__||(0,_getPrototypeOf2[\"default\"])(BezierEdgeBase)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(BezierEdgeBase,[{key:\"_findBorderPositionBezier\",value:function _findBorderPositionBezier(nearNode,ctx){var viaNode=arguments.length>2&&arguments[2]!==undefined?arguments[2]:this._getViaCoordinates();var maxIterations=10;var iteration=0;var low=0;var high=1;var pos,angle,distanceToBorder,distanceToPoint,difference;var threshold=.2;var node=this.to;var from=false;if(nearNode.id===this.from.id){node=this.from;from=true}while(low<=high&&iteration<maxIterations){var middle=(low+high)*.5;pos=this.getPoint(middle,viaNode);angle=Math.atan2(node.y-pos.y,node.x-pos.x);distanceToBorder=node.distanceToBorder(ctx,angle);distanceToPoint=Math.sqrt(Math.pow(pos.x-node.x,2)+Math.pow(pos.y-node.y,2));difference=distanceToBorder-distanceToPoint;if(Math.abs(difference)<threshold){break}else if(difference<0){if(from===false){low=middle}else{high=middle}}else{if(from===false){high=middle}else{low=middle}}iteration++}pos.t=middle;return pos}},{key:\"_getDistanceToBezierEdge\",value:function _getDistanceToBezierEdge(x1,y1,x2,y2,x3,y3,via){var minDistance=1e9;var distance=void 0;var i=void 0,t=void 0,x=void 0,y=void 0;var lastX=x1;var lastY=y1;for(i=1;i<10;i++){t=.1*i;x=Math.pow(1-t,2)*x1+2*t*(1-t)*via.x+Math.pow(t,2)*x2;y=Math.pow(1-t,2)*y1+2*t*(1-t)*via.y+Math.pow(t,2)*y2;if(i>0){distance=this._getDistanceToLine(lastX,lastY,x,y,x3,y3);minDistance=distance<minDistance?distance:minDistance}lastX=x;lastY=y}return minDistance}},{key:\"_bezierCurve\",value:function _bezierCurve(ctx,values,viaNode1,viaNode2){var hasNode1=viaNode1!==undefined&&viaNode1.x!==undefined;var hasNode2=viaNode2!==undefined&&viaNode2.x!==undefined;ctx.beginPath();ctx.moveTo(this.fromPoint.x,this.fromPoint.y);if(hasNode1&&hasNode2){ctx.bezierCurveTo(viaNode1.x,viaNode1.y,viaNode2.x,viaNode2.y,this.toPoint.x,this.toPoint.y)}else if(hasNode1){ctx.quadraticCurveTo(viaNode1.x,viaNode1.y,this.toPoint.x,this.toPoint.y)}else{ctx.lineTo(this.toPoint.x,this.toPoint.y)}this.enableShadow(ctx,values);ctx.stroke();this.disableShadow(ctx,values)}},{key:\"getViaNode\",value:function getViaNode(){return this._getViaCoordinates()}}]);return BezierEdgeBase}(_EdgeBase3[\"default\"]);exports[\"default\"]=BezierEdgeBase},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var NetworkUtil=function(){function NetworkUtil(){(0,_classCallCheck3[\"default\"])(this,NetworkUtil)}(0,_createClass3[\"default\"])(NetworkUtil,null,[{key:\"getRange\",value:function getRange(allNodes){var specificNodes=arguments.length>1&&arguments[1]!==undefined?arguments[1]:[];var minY=1e9,maxY=-1e9,minX=1e9,maxX=-1e9,node;if(specificNodes.length>0){for(var i=0;i<specificNodes.length;i++){node=allNodes[specificNodes[i]];if(minX>node.shape.boundingBox.left){minX=node.shape.boundingBox.left}if(maxX<node.shape.boundingBox.right){maxX=node.shape.boundingBox.right}if(minY>node.shape.boundingBox.top){minY=node.shape.boundingBox.top}if(maxY<node.shape.boundingBox.bottom){maxY=node.shape.boundingBox.bottom}}}if(minX===1e9&&maxX===-1e9&&minY===1e9&&maxY===-1e9){minY=0,maxY=0,minX=0,maxX=0}return{minX:minX,maxX:maxX,minY:minY,maxY:maxY}}},{key:\"getRangeCore\",value:function getRangeCore(allNodes){var specificNodes=arguments.length>1&&arguments[1]!==undefined?arguments[1]:[];var minY=1e9,maxY=-1e9,minX=1e9,maxX=-1e9,node;if(specificNodes.length>0){for(var i=0;i<specificNodes.length;i++){node=allNodes[specificNodes[i]];if(minX>node.x){minX=node.x}if(maxX<node.x){maxX=node.x}if(minY>node.y){minY=node.y}if(maxY<node.y){maxY=node.y}}}if(minX===1e9&&maxX===-1e9&&minY===1e9&&maxY===-1e9){minY=0,maxY=0,minX=0,maxX=0}return{minX:minX,maxX:maxX,minY:minY,maxY:maxY}}},{key:\"findCenter\",value:function findCenter(range){return{x:.5*(range.maxX+range.minX),y:.5*(range.maxY+range.minY)}}},{key:\"cloneOptions\",value:function cloneOptions(item,type){var clonedOptions={};if(type===undefined||type===\"node\"){util.deepExtend(clonedOptions,item.options,true);clonedOptions.x=item.x;clonedOptions.y=item.y;clonedOptions.amountOfConnections=item.edges.length}else{util.deepExtend(clonedOptions,item.options,true)}return clonedOptions}}]);return NetworkUtil}();exports[\"default\"]=NetworkUtil},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(124),__esModule:true}},function(module,exports,__webpack_require__){var cof=__webpack_require__(50);module.exports=Object(\"z\").propertyIsEnumerable(0)?Object:function(it){return cof(it)==\"String\"?it.split(\"\"):Object(it)}},function(module,exports,__webpack_require__){\"use strict\";var LIBRARY=__webpack_require__(52);var $export=__webpack_require__(17);var redefine=__webpack_require__(83);var hide=__webpack_require__(26);var has=__webpack_require__(22);var Iterators=__webpack_require__(31);var $iterCreate=__webpack_require__(129);var setToStringTag=__webpack_require__(59);var getPrototypeOf=__webpack_require__(85);var ITERATOR=__webpack_require__(13)(\"iterator\");var BUGGY=!([].keys&&\"next\"in[].keys())\n;var FF_ITERATOR=\"@@iterator\";var KEYS=\"keys\";var VALUES=\"values\";var returnThis=function(){return this};module.exports=function(Base,NAME,Constructor,next,DEFAULT,IS_SET,FORCED){$iterCreate(Constructor,NAME,next);var getMethod=function(kind){if(!BUGGY&&kind in proto)return proto[kind];switch(kind){case KEYS:return function keys(){return new Constructor(this,kind)};case VALUES:return function values(){return new Constructor(this,kind)}}return function entries(){return new Constructor(this,kind)}};var TAG=NAME+\" Iterator\";var DEF_VALUES=DEFAULT==VALUES;var VALUES_BUG=false;var proto=Base.prototype;var $native=proto[ITERATOR]||proto[FF_ITERATOR]||DEFAULT&&proto[DEFAULT];var $default=$native||getMethod(DEFAULT);var $entries=DEFAULT?!DEF_VALUES?$default:getMethod(\"entries\"):undefined;var $anyNative=NAME==\"Array\"?proto.entries||$native:$native;var methods,key,IteratorPrototype;if($anyNative){IteratorPrototype=getPrototypeOf($anyNative.call(new Base));if(IteratorPrototype!==Object.prototype&&IteratorPrototype.next){setToStringTag(IteratorPrototype,TAG,true);if(!LIBRARY&&!has(IteratorPrototype,ITERATOR))hide(IteratorPrototype,ITERATOR,returnThis)}}if(DEF_VALUES&&$native&&$native.name!==VALUES){VALUES_BUG=true;$default=function values(){return $native.call(this)}}if((!LIBRARY||FORCED)&&(BUGGY||VALUES_BUG||!proto[ITERATOR])){hide(proto,ITERATOR,$default)}Iterators[NAME]=$default;Iterators[TAG]=returnThis;if(DEFAULT){methods={values:DEF_VALUES?$default:getMethod(VALUES),keys:IS_SET?$default:getMethod(KEYS),entries:$entries};if(FORCED)for(key in methods){if(!(key in proto))redefine(proto,key,methods[key])}else $export($export.P+$export.F*(BUGGY||VALUES_BUG),NAME,methods)}return methods}},function(module,exports,__webpack_require__){var aFunction=__webpack_require__(128);module.exports=function(fn,that,length){aFunction(fn);if(that===undefined)return fn;switch(length){case 1:return function(a){return fn.call(that,a)};case 2:return function(a,b){return fn.call(that,a,b)};case 3:return function(a,b,c){return fn.call(that,a,b,c)}}return function(){return fn.apply(that,arguments)}}},function(module,exports,__webpack_require__){module.exports=!__webpack_require__(21)&&!__webpack_require__(28)(function(){return Object.defineProperty(__webpack_require__(82)(\"div\"),\"a\",{get:function(){return 7}}).a!=7})},function(module,exports,__webpack_require__){var isObject=__webpack_require__(32);var document=__webpack_require__(18).document;var is=isObject(document)&&isObject(document.createElement);module.exports=function(it){return is?document.createElement(it):{}}},function(module,exports,__webpack_require__){module.exports=__webpack_require__(26)},function(module,exports,__webpack_require__){var has=__webpack_require__(22);var toIObject=__webpack_require__(25);var arrayIndexOf=__webpack_require__(131)(false);var IE_PROTO=__webpack_require__(56)(\"IE_PROTO\");module.exports=function(object,names){var O=toIObject(object);var i=0;var result=[];var key;for(key in O)if(key!=IE_PROTO)has(O,key)&&result.push(key);while(names.length>i)if(has(O,key=names[i++])){~arrayIndexOf(result,key)||result.push(key)}return result}},function(module,exports,__webpack_require__){var has=__webpack_require__(22);var toObject=__webpack_require__(41);var IE_PROTO=__webpack_require__(56)(\"IE_PROTO\");var ObjectProto=Object.prototype;module.exports=Object.getPrototypeOf||function(O){O=toObject(O);if(has(O,IE_PROTO))return O[IE_PROTO];if(typeof O.constructor==\"function\"&&O instanceof O.constructor){return O.constructor.prototype}return O instanceof Object?ObjectProto:null}},function(module,exports,__webpack_require__){var cof=__webpack_require__(50);var TAG=__webpack_require__(13)(\"toStringTag\");var ARG=cof(function(){return arguments}())==\"Arguments\";var tryGet=function(it,key){try{return it[key]}catch(e){}};module.exports=function(it){var O,T,B;return it===undefined?\"Undefined\":it===null?\"Null\":typeof(T=tryGet(O=Object(it),TAG))==\"string\"?T:ARG?cof(O):(B=cof(O))==\"Object\"&&typeof O.callee==\"function\"?\"Arguments\":B}},function(module,exports,__webpack_require__){var $export=__webpack_require__(17);var core=__webpack_require__(7);var fails=__webpack_require__(28);module.exports=function(KEY,exec){var fn=(core.Object||{})[KEY]||Object[KEY];var exp={};exp[KEY]=exec(fn);$export($export.S+$export.F*fails(function(){fn(1)}),\"Object\",exp)}},function(module,exports,__webpack_require__){var $keys=__webpack_require__(84);var hiddenKeys=__webpack_require__(58).concat(\"length\",\"prototype\");exports.f=Object.getOwnPropertyNames||function getOwnPropertyNames(O){return $keys(O,hiddenKeys)}},function(module,exports,__webpack_require__){var pIE=__webpack_require__(42);var createDesc=__webpack_require__(39);var toIObject=__webpack_require__(25);var toPrimitive=__webpack_require__(53);var has=__webpack_require__(22);var IE8_DOM_DEFINE=__webpack_require__(81);var gOPD=Object.getOwnPropertyDescriptor;exports.f=__webpack_require__(21)?gOPD:function getOwnPropertyDescriptor(O,P){O=toIObject(O);P=toPrimitive(P,true);if(IE8_DOM_DEFINE)try{return gOPD(O,P)}catch(e){}if(has(O,P))return createDesc(!pIE.f.call(O,P),O[P])}},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(162),__esModule:true}},function(module,exports,__webpack_require__){\"use strict\";function Point2d(x,y){this.x=x!==undefined?x:0;this.y=y!==undefined?y:0}module.exports=Point2d},function(module,exports,__webpack_require__){\"use strict\";var util=__webpack_require__(2);function Slider(container,options){if(container===undefined){throw new Error(\"No container element defined\")}this.container=container;this.visible=options&&options.visible!=undefined?options.visible:true;if(this.visible){this.frame=document.createElement(\"DIV\");this.frame.style.width=\"100%\";this.frame.style.position=\"relative\";this.container.appendChild(this.frame);this.frame.prev=document.createElement(\"INPUT\");this.frame.prev.type=\"BUTTON\";this.frame.prev.value=\"Prev\";this.frame.appendChild(this.frame.prev);this.frame.play=document.createElement(\"INPUT\");this.frame.play.type=\"BUTTON\";this.frame.play.value=\"Play\";this.frame.appendChild(this.frame.play);this.frame.next=document.createElement(\"INPUT\");this.frame.next.type=\"BUTTON\";this.frame.next.value=\"Next\";this.frame.appendChild(this.frame.next);this.frame.bar=document.createElement(\"INPUT\");this.frame.bar.type=\"BUTTON\";this.frame.bar.style.position=\"absolute\";this.frame.bar.style.border=\"1px solid red\";this.frame.bar.style.width=\"100px\";this.frame.bar.style.height=\"6px\";this.frame.bar.style.borderRadius=\"2px\";this.frame.bar.style.MozBorderRadius=\"2px\";this.frame.bar.style.border=\"1px solid #7F7F7F\";this.frame.bar.style.backgroundColor=\"#E5E5E5\";this.frame.appendChild(this.frame.bar);this.frame.slide=document.createElement(\"INPUT\");this.frame.slide.type=\"BUTTON\";this.frame.slide.style.margin=\"0px\";this.frame.slide.value=\" \";this.frame.slide.style.position=\"relative\";this.frame.slide.style.left=\"-100px\";this.frame.appendChild(this.frame.slide);var me=this;this.frame.slide.onmousedown=function(event){me._onMouseDown(event)};this.frame.prev.onclick=function(event){me.prev(event)};this.frame.play.onclick=function(event){me.togglePlay(event)};this.frame.next.onclick=function(event){me.next(event)}}this.onChangeCallback=undefined;this.values=[];this.index=undefined;this.playTimeout=undefined;this.playInterval=1e3;this.playLoop=true}Slider.prototype.prev=function(){var index=this.getIndex();if(index>0){index--;this.setIndex(index)}};Slider.prototype.next=function(){var index=this.getIndex();if(index<this.values.length-1){index++;this.setIndex(index)}};Slider.prototype.playNext=function(){var start=new Date;var index=this.getIndex();if(index<this.values.length-1){index++;this.setIndex(index)}else if(this.playLoop){index=0;this.setIndex(index)}var end=new Date;var diff=end-start;var interval=Math.max(this.playInterval-diff,0);var me=this;this.playTimeout=setTimeout(function(){me.playNext()},interval)};Slider.prototype.togglePlay=function(){if(this.playTimeout===undefined){this.play()}else{this.stop()}};Slider.prototype.play=function(){if(this.playTimeout)return;this.playNext();if(this.frame){this.frame.play.value=\"Stop\"}};Slider.prototype.stop=function(){clearInterval(this.playTimeout);this.playTimeout=undefined;if(this.frame){this.frame.play.value=\"Play\"}};Slider.prototype.setOnChangeCallback=function(callback){this.onChangeCallback=callback};Slider.prototype.setPlayInterval=function(interval){this.playInterval=interval};Slider.prototype.getPlayInterval=function(){return this.playInterval};Slider.prototype.setPlayLoop=function(doLoop){this.playLoop=doLoop};Slider.prototype.onChange=function(){if(this.onChangeCallback!==undefined){this.onChangeCallback()}};Slider.prototype.redraw=function(){if(this.frame){this.frame.bar.style.top=this.frame.clientHeight/2-this.frame.bar.offsetHeight/2+\"px\";this.frame.bar.style.width=this.frame.clientWidth-this.frame.prev.clientWidth-this.frame.play.clientWidth-this.frame.next.clientWidth-30+\"px\";var left=this.indexToLeft(this.index);this.frame.slide.style.left=left+\"px\"}};Slider.prototype.setValues=function(values){this.values=values;if(this.values.length>0)this.setIndex(0);else this.index=undefined};Slider.prototype.setIndex=function(index){if(index<this.values.length){this.index=index;this.redraw();this.onChange()}else{throw new Error(\"Index out of range\")}};Slider.prototype.getIndex=function(){return this.index};Slider.prototype.get=function(){return this.values[this.index]};Slider.prototype._onMouseDown=function(event){var leftButtonDown=event.which?event.which===1:event.button===1;if(!leftButtonDown)return;this.startClientX=event.clientX;this.startSlideX=parseFloat(this.frame.slide.style.left);this.frame.style.cursor=\"move\";var me=this;this.onmousemove=function(event){me._onMouseMove(event)};this.onmouseup=function(event){me._onMouseUp(event)};util.addEventListener(document,\"mousemove\",this.onmousemove);util.addEventListener(document,\"mouseup\",this.onmouseup);util.preventDefault(event)};Slider.prototype.leftToIndex=function(left){var width=parseFloat(this.frame.bar.style.width)-this.frame.slide.clientWidth-10;var x=left-3;var index=Math.round(x/width*(this.values.length-1));if(index<0)index=0;if(index>this.values.length-1)index=this.values.length-1;return index};Slider.prototype.indexToLeft=function(index){var width=parseFloat(this.frame.bar.style.width)-this.frame.slide.clientWidth-10;var x=index/(this.values.length-1)*width;var left=x+3;return left};Slider.prototype._onMouseMove=function(event){var diff=event.clientX-this.startClientX;var x=this.startSlideX+diff;var index=this.leftToIndex(x);this.setIndex(index);util.preventDefault()};Slider.prototype._onMouseUp=function(event){this.frame.style.cursor=\"auto\";util.removeEventListener(document,\"mousemove\",this.onmousemove);util.removeEventListener(document,\"mouseup\",this.onmouseup);util.preventDefault()};module.exports=Slider},function(module,exports,__webpack_require__){\"use strict\";function StepNumber(start,end,step,prettyStep){this._start=0;this._end=0;this._step=1;this.prettyStep=true;this.precision=5;this._current=0;this.setRange(start,end,step,prettyStep)}StepNumber.prototype.isNumeric=function(n){return!isNaN(parseFloat(n))&&isFinite(n)};StepNumber.prototype.setRange=function(start,end,step,prettyStep){if(!this.isNumeric(start)){throw new Error(\"Parameter 'start' is not numeric; value: \"+start)}if(!this.isNumeric(end)){throw new Error(\"Parameter 'end' is not numeric; value: \"+start)}if(!this.isNumeric(step)){throw new Error(\"Parameter 'step' is not numeric; value: \"+start)}this._start=start?start:0;this._end=end?end:0;this.setStep(step,prettyStep)};StepNumber.prototype.setStep=function(step,prettyStep){if(step===undefined||step<=0)return;if(prettyStep!==undefined)this.prettyStep=prettyStep;if(this.prettyStep===true)this._step=StepNumber.calculatePrettyStep(step);else this._step=step};StepNumber.calculatePrettyStep=function(step){var log10=function log10(x){return Math.log(x)/Math.LN10};var step1=Math.pow(10,Math.round(log10(step))),step2=2*Math.pow(10,Math.round(log10(step/2))),step5=5*Math.pow(10,Math.round(log10(step/5)));var prettyStep=step1;if(Math.abs(step2-step)<=Math.abs(prettyStep-step))prettyStep=step2;if(Math.abs(step5-step)<=Math.abs(prettyStep-step))prettyStep=step5;if(prettyStep<=0){prettyStep=1}return prettyStep};StepNumber.prototype.getCurrent=function(){return parseFloat(this._current.toPrecision(this.precision))};StepNumber.prototype.getStep=function(){return this._step};StepNumber.prototype.start=function(checkFirst){if(checkFirst===undefined){checkFirst=false}this._current=this._start-this._start%this._step;if(checkFirst){if(this.getCurrent()<this._start){this.next()}}};StepNumber.prototype.next=function(){this._current+=this._step};StepNumber.prototype.end=function(){return this._current>this._end};module.exports=StepNumber},function(module,exports,__webpack_require__){\"use strict\";var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Camera=__webpack_require__(95);var Point3d=__webpack_require__(34);var STYLE={BAR:0,BARCOLOR:1,BARSIZE:2,DOT:3,DOTLINE:4,DOTCOLOR:5,DOTSIZE:6,GRID:7,LINE:8,SURFACE:9};var STYLENAME={dot:STYLE.DOT,\"dot-line\":STYLE.DOTLINE,\"dot-color\":STYLE.DOTCOLOR,\"dot-size\":STYLE.DOTSIZE,line:STYLE.LINE,grid:STYLE.GRID,surface:STYLE.SURFACE,bar:STYLE.BAR,\"bar-color\":STYLE.BARCOLOR,\"bar-size\":STYLE.BARSIZE};var OPTIONKEYS=[\"width\",\"height\",\"filterLabel\",\"legendLabel\",\"xLabel\",\"yLabel\",\"zLabel\",\"xValueLabel\",\"yValueLabel\",\"zValueLabel\",\"showXAxis\",\"showYAxis\",\"showZAxis\",\"showGrid\",\"showPerspective\",\"showShadow\",\"keepAspectRatio\",\"verticalRatio\",\"dotSizeRatio\",\"dotSizeMinFraction\",\"dotSizeMaxFraction\",\"showAnimationControls\",\"animationInterval\",\"animationPreload\",\"animationAutoStart\",\"axisColor\",\"gridColor\",\"xCenter\",\"yCenter\"];var PREFIXEDOPTIONKEYS=[\"xBarWidth\",\"yBarWidth\",\"valueMin\",\"valueMax\",\"xMin\",\"xMax\",\"xStep\",\"yMin\",\"yMax\",\"yStep\",\"zMin\",\"zMax\",\"zStep\"];var DEFAULTS=undefined;function isEmpty(obj){for(var prop in obj){if(obj.hasOwnProperty(prop))return false}return true}function capitalize(str){if(str===undefined||str===\"\"||typeof str!=\"string\"){return str}return str.charAt(0).toUpperCase()+str.slice(1)}function prefixFieldName(prefix,fieldName){if(prefix===undefined||prefix===\"\"){return fieldName}return prefix+capitalize(fieldName)}function forceCopy(src,dst,fields,prefix){var srcKey;var dstKey;for(var i=0;i<fields.length;++i){srcKey=fields[i];dstKey=prefixFieldName(prefix,srcKey);dst[dstKey]=src[srcKey]}}function safeCopy(src,dst,fields,prefix){var srcKey;var dstKey;for(var i=0;i<fields.length;++i){srcKey=fields[i];if(src[srcKey]===undefined)continue;dstKey=prefixFieldName(prefix,srcKey);dst[dstKey]=src[srcKey]}}function setDefaults(src,dst){if(src===undefined||isEmpty(src)){throw new Error(\"No DEFAULTS passed\")}if(dst===undefined){throw new Error(\"No dst passed\")}DEFAULTS=src;forceCopy(src,dst,OPTIONKEYS);forceCopy(src,dst,PREFIXEDOPTIONKEYS,\"default\");setSpecialSettings(src,dst);dst.margin=10;dst.showGrayBottom=false;dst.showTooltip=false;dst.onclick_callback=null;dst.eye=new Point3d(0,0,-1)}function setOptions(options,dst){if(options===undefined){return}if(dst===undefined){throw new Error(\"No dst passed\")}if(DEFAULTS===undefined||isEmpty(DEFAULTS)){throw new Error(\"DEFAULTS not set for module Settings\")}safeCopy(options,dst,OPTIONKEYS);safeCopy(options,dst,PREFIXEDOPTIONKEYS,\"default\");setSpecialSettings(options,dst)}function setSpecialSettings(src,dst){if(src.backgroundColor!==undefined){setBackgroundColor(src.backgroundColor,dst)}setDataColor(src.dataColor,dst);setStyle(src.style,dst);setShowLegend(src.showLegend,dst);setCameraPosition(src.cameraPosition,dst);if(src.tooltip!==undefined){dst.showTooltip=src.tooltip}if(src.onclick!=undefined){dst.onclick_callback=src.onclick}if(src.tooltipStyle!==undefined){util.selectiveDeepExtend([\"tooltipStyle\"],dst,src)}}function setShowLegend(showLegend,dst){if(showLegend===undefined){var isAutoByDefault=DEFAULTS.showLegend===undefined;if(isAutoByDefault){var isLegendGraphStyle=dst.style===STYLE.DOTCOLOR||dst.style===STYLE.DOTSIZE;dst.showLegend=isLegendGraphStyle}else{}}else{dst.showLegend=showLegend}}function getStyleNumberByName(styleName){var number=STYLENAME[styleName];if(number===undefined){return-1}return number}function checkStyleNumber(style){var valid=false;for(var n in STYLE){if(STYLE[n]===style){valid=true;break}}return valid}function setStyle(style,dst){if(style===undefined){return}var styleNumber;if(typeof style===\"string\"){styleNumber=getStyleNumberByName(style);if(styleNumber===-1){throw new Error(\"Style '\"+style+\"' is invalid\")}}else{if(!checkStyleNumber(style)){throw new Error(\"Style '\"+style+\"' is invalid\")}styleNumber=style}dst.style=styleNumber}function setBackgroundColor(backgroundColor,dst){var fill=\"white\";var stroke=\"gray\";var strokeWidth=1;if(typeof backgroundColor===\"string\"){fill=backgroundColor;stroke=\"none\";strokeWidth=0}else if((typeof backgroundColor===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(backgroundColor))===\"object\"){if(backgroundColor.fill!==undefined)fill=backgroundColor.fill;if(backgroundColor.stroke!==undefined)stroke=backgroundColor.stroke;if(backgroundColor.strokeWidth!==undefined)strokeWidth=backgroundColor.strokeWidth}else{throw new Error(\"Unsupported type of backgroundColor\")}dst.frame.style.backgroundColor=fill;dst.frame.style.borderColor=stroke;dst.frame.style.borderWidth=strokeWidth+\"px\";dst.frame.style.borderStyle=\"solid\"}function setDataColor(dataColor,dst){if(dataColor===undefined){return}if(dst.dataColor===undefined){dst.dataColor={}}if(typeof dataColor===\"string\"){dst.dataColor.fill=dataColor;dst.dataColor.stroke=dataColor}else{if(dataColor.fill){dst.dataColor.fill=dataColor.fill}if(dataColor.stroke){dst.dataColor.stroke=dataColor.stroke}if(dataColor.strokeWidth!==undefined){dst.dataColor.strokeWidth=dataColor.strokeWidth}}}function setCameraPosition(cameraPosition,dst){var camPos=cameraPosition;if(camPos===undefined){return}if(dst.camera===undefined){dst.camera=new Camera}dst.camera.setArmRotation(camPos.horizontal,camPos.vertical);dst.camera.setArmLength(camPos.distance)}module.exports.STYLE=STYLE;module.exports.setDefaults=setDefaults;module.exports.setOptions=setOptions;module.exports.setCameraPosition=setCameraPosition},function(module,exports,__webpack_require__){\"use strict\";var _sign=__webpack_require__(165);var _sign2=_interopRequireDefault(_sign);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Point3d=__webpack_require__(34);function Camera(){this.armLocation=new Point3d;this.armRotation={};this.armRotation.horizontal=0;this.armRotation.vertical=0;this.armLength=1.7;this.cameraOffset=new Point3d;this.offsetMultiplier=.6;this.cameraLocation=new Point3d;this.cameraRotation=new Point3d(.5*Math.PI,0,0);this.calculateCameraOrientation()}Camera.prototype.setOffset=function(x,y){var abs=Math.abs,sign=_sign2[\"default\"],mul=this.offsetMultiplier,border=this.armLength*mul;if(abs(x)>border){x=sign(x)*border}if(abs(y)>border){y=sign(y)*border}this.cameraOffset.x=x;this.cameraOffset.y=y;this.calculateCameraOrientation()};Camera.prototype.getOffset=function(){return this.cameraOffset};Camera.prototype.setArmLocation=function(x,y,z){this.armLocation.x=x;this.armLocation.y=y;this.armLocation.z=z;this.calculateCameraOrientation()};Camera.prototype.setArmRotation=function(horizontal,vertical){if(horizontal!==undefined){this.armRotation.horizontal=horizontal}if(vertical!==undefined){this.armRotation.vertical=vertical;if(this.armRotation.vertical<0)this.armRotation.vertical=0;if(this.armRotation.vertical>.5*Math.PI)this.armRotation.vertical=.5*Math.PI}if(horizontal!==undefined||vertical!==undefined){this.calculateCameraOrientation()}};Camera.prototype.getArmRotation=function(){var rot={};rot.horizontal=this.armRotation.horizontal;rot.vertical=this.armRotation.vertical;return rot};Camera.prototype.setArmLength=function(length){if(length===undefined)return;this.armLength=length;if(this.armLength<.71)this.armLength=.71;if(this.armLength>5)this.armLength=5;this.setOffset(this.cameraOffset.x,this.cameraOffset.y);this.calculateCameraOrientation()};Camera.prototype.getArmLength=function(){return this.armLength};Camera.prototype.getCameraLocation=function(){return this.cameraLocation};Camera.prototype.getCameraRotation=function(){return this.cameraRotation};Camera.prototype.calculateCameraOrientation=function(){this.cameraLocation.x=this.armLocation.x-this.armLength*Math.sin(this.armRotation.horizontal)*Math.cos(this.armRotation.vertical);this.cameraLocation.y=this.armLocation.y-this.armLength*Math.cos(this.armRotation.horizontal)*Math.cos(this.armRotation.vertical);this.cameraLocation.z=this.armLocation.z+this.armLength*Math.sin(this.armRotation.vertical);this.cameraRotation.x=Math.PI/2-this.armRotation.vertical;this.cameraRotation.y=0;this.cameraRotation.z=-this.armRotation.horizontal;var xa=this.cameraRotation.x;var za=this.cameraRotation.z;var dx=this.cameraOffset.x;var dy=this.cameraOffset.y;var sin=Math.sin,cos=Math.cos;this.cameraLocation.x=this.cameraLocation.x+dx*cos(za)+dy*-sin(za)*cos(xa);this.cameraLocation.y=this.cameraLocation.y+dx*sin(za)+dy*cos(za)*cos(xa);this.cameraLocation.z=this.cameraLocation.z+dy*sin(xa)};module.exports=Camera},function(module,exports,__webpack_require__){\"use strict\";var DataView=__webpack_require__(12);function Filter(dataGroup,column,graph){this.dataGroup=dataGroup;this.column=column;this.graph=graph;this.index=undefined;this.value=undefined;this.values=dataGroup.getDistinctValues(this.column);if(this.values.length>0){this.selectValue(0)}this.dataPoints=[];this.loaded=false;this.onLoadCallback=undefined;if(graph.animationPreload){this.loaded=false;this.loadInBackground()}else{this.loaded=true}}Filter.prototype.isLoaded=function(){return this.loaded};Filter.prototype.getLoadedProgress=function(){var len=this.values.length;var i=0;while(this.dataPoints[i]){i++}return Math.round(i/len*100)};Filter.prototype.getLabel=function(){return this.graph.filterLabel};Filter.prototype.getColumn=function(){return this.column};Filter.prototype.getSelectedValue=function(){if(this.index===undefined)return undefined;return this.values[this.index]};Filter.prototype.getValues=function(){return this.values};Filter.prototype.getValue=function(index){if(index>=this.values.length)throw new Error(\"Index out of range\");return this.values[index]};Filter.prototype._getDataPoints=function(index){if(index===undefined)index=this.index;if(index===undefined)return[];var dataPoints;if(this.dataPoints[index]){dataPoints=this.dataPoints[index]}else{var f={};f.column=this.column;f.value=this.values[index];var dataView=new DataView(this.dataGroup.getDataSet(),{filter:function filter(item){return item[f.column]==f.value}}).get();dataPoints=this.dataGroup._getDataPoints(dataView);this.dataPoints[index]=dataPoints}return dataPoints};Filter.prototype.setOnLoadCallback=function(callback){this.onLoadCallback=callback};Filter.prototype.selectValue=function(index){if(index>=this.values.length)throw new Error(\"Index out of range\");this.index=index;this.value=this.values[index]};Filter.prototype.loadInBackground=function(index){if(index===undefined)index=0;var frame=this.graph.frame;if(index<this.values.length){if(frame.progress===undefined){frame.progress=document.createElement(\"DIV\");frame.progress.style.position=\"absolute\";frame.progress.style.color=\"gray\";frame.appendChild(frame.progress)}var progress=this.getLoadedProgress();frame.progress.innerHTML=\"Loading animation... \"+progress+\"%\";frame.progress.style.bottom=60+\"px\";frame.progress.style.left=10+\"px\";var me=this;setTimeout(function(){me.loadInBackground(index+1)},10);this.loaded=false}else{this.loaded=true;if(frame.progress!==undefined){frame.removeChild(frame.progress);frame.progress=undefined}if(this.onLoadCallback)this.onLoadCallback()}};module.exports=Filter},function(module,exports,__webpack_require__){\"use strict\";var keycharm=__webpack_require__(35);var Emitter=__webpack_require__(44);var Hammer=__webpack_require__(10);var util=__webpack_require__(2);function Activator(container){this.active=false;this.dom={container:container};this.dom.overlay=document.createElement(\"div\");this.dom.overlay.className=\"vis-overlay\";this.dom.container.appendChild(this.dom.overlay);this.hammer=Hammer(this.dom.overlay);this.hammer.on(\"tap\",this._onTapOverlay.bind(this));var me=this;var events=[\"tap\",\"doubletap\",\"press\",\"pinch\",\"pan\",\"panstart\",\"panmove\",\"panend\"];events.forEach(function(event){me.hammer.on(event,function(event){event.stopPropagation()})});if(document&&document.body){this.onClick=function(event){if(!_hasParent(event.target,container)){me.deactivate()}};document.body.addEventListener(\"click\",this.onClick)}if(this.keycharm!==undefined){this.keycharm.destroy()}this.keycharm=keycharm();this.escListener=this.deactivate.bind(this)}Emitter(Activator.prototype);Activator.current=null;Activator.prototype.destroy=function(){this.deactivate();this.dom.overlay.parentNode.removeChild(this.dom.overlay);if(this.onClick){document.body.removeEventListener(\"click\",this.onClick)}this.hammer.destroy();this.hammer=null};Activator.prototype.activate=function(){if(Activator.current){Activator.current.deactivate()}Activator.current=this;this.active=true;this.dom.overlay.style.display=\"none\";util.addClassName(this.dom.container,\"vis-active\");this.emit(\"change\");this.emit(\"activate\");this.keycharm.bind(\"esc\",this.escListener)};Activator.prototype.deactivate=function(){this.active=false;this.dom.overlay.style.display=\"\";util.removeClassName(this.dom.container,\"vis-active\");this.keycharm.unbind(\"esc\",this.escListener);this.emit(\"change\");this.emit(\"deactivate\")};Activator.prototype._onTapOverlay=function(event){this.activate();event.stopPropagation()};function _hasParent(element,parent){while(element){if(element===parent){return true}element=element.parentNode}return false}module.exports=Activator},function(module,exports,__webpack_require__){\"use strict\";exports[\"en\"]={current:\"current\",time:\"time\"};exports[\"en_EN\"]=exports[\"en\"];exports[\"en_US\"]=exports[\"en\"];exports[\"it\"]={current:\"attuale\",time:\"tempo\"};exports[\"it_IT\"]=exports[\"it\"];exports[\"it_CH\"]=exports[\"it\"];exports[\"nl\"]={current:\"huidige\",time:\"tijd\"};exports[\"nl_NL\"]=exports[\"nl\"];exports[\"nl_BE\"]=exports[\"nl\"];exports[\"de\"]={current:\"Aktuelle\",time:\"Zeit\"};exports[\"de_DE\"]=exports[\"de\"];exports[\"fr\"]={current:\"actuel\",time:\"heure\"};exports[\"fr_FR\"]=exports[\"fr\"];exports[\"fr_CA\"]=exports[\"fr\"];exports[\"fr_BE\"]=exports[\"fr\"];exports[\"es\"]={current:\"corriente\",time:\"hora\"};exports[\"es_ES\"]=exports[\"es\"]},function(module,exports,__webpack_require__){\"use strict\";var _create=__webpack_require__(29);var _create2=_interopRequireDefault(_create);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Hammer=__webpack_require__(10);var util=__webpack_require__(2);var DataSet=__webpack_require__(11);var DataView=__webpack_require__(12);var TimeStep=__webpack_require__(66);var Component=__webpack_require__(16);var Group=__webpack_require__(68);var BackgroundGroup=__webpack_require__(69);var BoxItem=__webpack_require__(101);var PointItem=__webpack_require__(102);var RangeItem=__webpack_require__(70);var BackgroundItem=__webpack_require__(103);var Popup=__webpack_require__(104)[\"default\"];var UNGROUPED=\"__ungrouped__\";var BACKGROUND=\"__background__\";function ItemSet(body,options){this.body=body;this.defaultOptions={type:null,orientation:{item:\"bottom\"},align:\"auto\",stack:true,stackSubgroups:true,groupOrderSwap:function groupOrderSwap(fromGroup,toGroup,groups){var targetOrder=toGroup.order;toGroup.order=fromGroup.order;fromGroup.order=targetOrder},groupOrder:\"order\",selectable:true,multiselect:false,itemsAlwaysDraggable:{item:false,range:false},editable:{updateTime:false,updateGroup:false,add:false,remove:false,overrideItems:false},groupEditable:{order:false,add:false,remove:false},snap:TimeStep.snap,onDropObjectOnItem:function onDropObjectOnItem(objectData,item,callback){callback(item)},onAdd:function onAdd(item,callback){callback(item)},onUpdate:function onUpdate(item,callback){callback(item)},onMove:function onMove(item,callback){callback(item)},onRemove:function onRemove(item,callback){callback(item)},onMoving:function onMoving(item,callback){callback(item)},onAddGroup:function onAddGroup(item,callback){callback(item)},onMoveGroup:function onMoveGroup(item,callback){callback(item)},onRemoveGroup:function onRemoveGroup(item,callback){callback(item)},margin:{item:{horizontal:10,vertical:10},axis:20},showTooltips:true,tooltip:{followMouse:false,overflowMethod:\"flip\"},tooltipOnItemUpdateTime:false};this.options=util.extend({},this.defaultOptions);this.options.rtl=options.rtl;this.itemOptions={type:{start:\"Date\",end:\"Date\"}};this.conversion={toScreen:body.util.toScreen,toTime:body.util.toTime};this.dom={};this.props={};this.hammer=null;var me=this;this.itemsData=null;this.groupsData=null;this.itemListeners={add:function add(event,params,senderId){me._onAdd(params.items)},update:function update(event,params,senderId){me._onUpdate(params.items)},remove:function remove(event,params,senderId){me._onRemove(params.items)}};this.groupListeners={add:function add(event,params,senderId){me._onAddGroups(params.items);if(me.groupsData&&me.groupsData.length>0){var groupsData=me.groupsData.getDataSet();groupsData.get().forEach(function(groupData){if(groupData.nestedGroups){if(groupData.showNested!=false){groupData.showNested=true}var updatedGroups=[];groupData.nestedGroups.forEach(function(nestedGroupId){var updatedNestedGroup=groupsData.get(nestedGroupId);if(!updatedNestedGroup){return}updatedNestedGroup.nestedInGroup=groupData.id;if(groupData.showNested==false){updatedNestedGroup.visible=false}updatedGroups=updatedGroups.concat(updatedNestedGroup)});groupsData.update(updatedGroups,senderId)}})}},update:function update(event,params,senderId){me._onUpdateGroups(params.items)},remove:function remove(event,params,senderId){me._onRemoveGroups(params.items)}};this.items={};this.groups={};this.groupIds=[];this.selection=[];this.popup=null;this.touchParams={};this.groupTouchParams={};this._create();this.setOptions(options)}ItemSet.prototype=new Component;ItemSet.types={background:BackgroundItem,box:BoxItem,range:RangeItem,point:PointItem};ItemSet.prototype._create=function(){var frame=document.createElement(\"div\");frame.className=\"vis-itemset\";frame[\"timeline-itemset\"]=this;this.dom.frame=frame;var background=document.createElement(\"div\");background.className=\"vis-background\";frame.appendChild(background);this.dom.background=background;var foreground=document.createElement(\"div\");foreground.className=\"vis-foreground\";frame.appendChild(foreground);this.dom.foreground=foreground;var axis=document.createElement(\"div\");axis.className=\"vis-axis\";this.dom.axis=axis;var labelSet=document.createElement(\"div\");labelSet.className=\"vis-labelset\";this.dom.labelSet=labelSet;this._updateUngrouped();var backgroundGroup=new BackgroundGroup(BACKGROUND,null,this);backgroundGroup.show();this.groups[BACKGROUND]=backgroundGroup;this.hammer=new Hammer(this.body.dom.centerContainer);this.hammer.on(\"hammer.input\",function(event){if(event.isFirst){this._onTouch(event)}}.bind(this));this.hammer.on(\"panstart\",this._onDragStart.bind(this));this.hammer.on(\"panmove\",this._onDrag.bind(this));this.hammer.on(\"panend\",this._onDragEnd.bind(this));this.hammer.get(\"pan\").set({threshold:5,direction:Hammer.DIRECTION_HORIZONTAL});this.hammer.on(\"tap\",this._onSelectItem.bind(this));this.hammer.on(\"press\",this._onMultiSelectItem.bind(this));this.hammer.on(\"doubletap\",this._onAddItem.bind(this));if(this.options.rtl){\nthis.groupHammer=new Hammer(this.body.dom.rightContainer)}else{this.groupHammer=new Hammer(this.body.dom.leftContainer)}this.groupHammer.on(\"tap\",this._onGroupClick.bind(this));this.groupHammer.on(\"panstart\",this._onGroupDragStart.bind(this));this.groupHammer.on(\"panmove\",this._onGroupDrag.bind(this));this.groupHammer.on(\"panend\",this._onGroupDragEnd.bind(this));this.groupHammer.get(\"pan\").set({threshold:5,direction:Hammer.DIRECTION_VERTICAL});this.body.dom.centerContainer.addEventListener(\"mouseover\",this._onMouseOver.bind(this));this.body.dom.centerContainer.addEventListener(\"mouseout\",this._onMouseOut.bind(this));this.body.dom.centerContainer.addEventListener(\"mousemove\",this._onMouseMove.bind(this));this.body.dom.centerContainer.addEventListener(\"contextmenu\",this._onDragEnd.bind(this));this.body.dom.centerContainer.addEventListener(\"mousewheel\",this._onMouseWheel.bind(this));this.show()};ItemSet.prototype.setOptions=function(options){if(options){var fields=[\"type\",\"rtl\",\"align\",\"order\",\"stack\",\"stackSubgroups\",\"selectable\",\"multiselect\",\"multiselectPerGroup\",\"groupOrder\",\"dataAttributes\",\"template\",\"groupTemplate\",\"visibleFrameTemplate\",\"hide\",\"snap\",\"groupOrderSwap\",\"showTooltips\",\"tooltip\",\"tooltipOnItemUpdateTime\"];util.selectiveExtend(fields,this.options,options);if(\"itemsAlwaysDraggable\"in options){if(typeof options.itemsAlwaysDraggable===\"boolean\"){this.options.itemsAlwaysDraggable.item=options.itemsAlwaysDraggable;this.options.itemsAlwaysDraggable.range=false}else if((0,_typeof3[\"default\"])(options.itemsAlwaysDraggable)===\"object\"){util.selectiveExtend([\"item\",\"range\"],this.options.itemsAlwaysDraggable,options.itemsAlwaysDraggable);if(!this.options.itemsAlwaysDraggable.item){this.options.itemsAlwaysDraggable.range=false}}}if(\"orientation\"in options){if(typeof options.orientation===\"string\"){this.options.orientation.item=options.orientation===\"top\"?\"top\":\"bottom\"}else if((0,_typeof3[\"default\"])(options.orientation)===\"object\"&&\"item\"in options.orientation){this.options.orientation.item=options.orientation.item}}if(\"margin\"in options){if(typeof options.margin===\"number\"){this.options.margin.axis=options.margin;this.options.margin.item.horizontal=options.margin;this.options.margin.item.vertical=options.margin}else if((0,_typeof3[\"default\"])(options.margin)===\"object\"){util.selectiveExtend([\"axis\"],this.options.margin,options.margin);if(\"item\"in options.margin){if(typeof options.margin.item===\"number\"){this.options.margin.item.horizontal=options.margin.item;this.options.margin.item.vertical=options.margin.item}else if((0,_typeof3[\"default\"])(options.margin.item)===\"object\"){util.selectiveExtend([\"horizontal\",\"vertical\"],this.options.margin.item,options.margin.item)}}}}if(\"editable\"in options){if(typeof options.editable===\"boolean\"){this.options.editable.updateTime=options.editable;this.options.editable.updateGroup=options.editable;this.options.editable.add=options.editable;this.options.editable.remove=options.editable;this.options.editable.overrideItems=false}else if((0,_typeof3[\"default\"])(options.editable)===\"object\"){util.selectiveExtend([\"updateTime\",\"updateGroup\",\"add\",\"remove\",\"overrideItems\"],this.options.editable,options.editable)}}if(\"groupEditable\"in options){if(typeof options.groupEditable===\"boolean\"){this.options.groupEditable.order=options.groupEditable;this.options.groupEditable.add=options.groupEditable;this.options.groupEditable.remove=options.groupEditable}else if((0,_typeof3[\"default\"])(options.groupEditable)===\"object\"){util.selectiveExtend([\"order\",\"add\",\"remove\"],this.options.groupEditable,options.groupEditable)}}var addCallback=function(name){var fn=options[name];if(fn){if(!(fn instanceof Function)){throw new Error(\"option \"+name+\" must be a function \"+name+\"(item, callback)\")}this.options[name]=fn}}.bind(this);[\"onDropObjectOnItem\",\"onAdd\",\"onUpdate\",\"onRemove\",\"onMove\",\"onMoving\",\"onAddGroup\",\"onMoveGroup\",\"onRemoveGroup\"].forEach(addCallback);this.markDirty()}};ItemSet.prototype.markDirty=function(options){this.groupIds=[];if(options&&options.refreshItems){util.forEach(this.items,function(item){item.dirty=true;if(item.displayed)item.redraw()})}};ItemSet.prototype.destroy=function(){this.hide();this.setItems(null);this.setGroups(null);this.hammer=null;this.body=null;this.conversion=null};ItemSet.prototype.hide=function(){if(this.dom.frame.parentNode){this.dom.frame.parentNode.removeChild(this.dom.frame)}if(this.dom.axis.parentNode){this.dom.axis.parentNode.removeChild(this.dom.axis)}if(this.dom.labelSet.parentNode){this.dom.labelSet.parentNode.removeChild(this.dom.labelSet)}};ItemSet.prototype.show=function(){if(!this.dom.frame.parentNode){this.body.dom.center.appendChild(this.dom.frame)}if(!this.dom.axis.parentNode){this.body.dom.backgroundVertical.appendChild(this.dom.axis)}if(!this.dom.labelSet.parentNode){if(this.options.rtl){this.body.dom.right.appendChild(this.dom.labelSet)}else{this.body.dom.left.appendChild(this.dom.labelSet)}}};ItemSet.prototype.setSelection=function(ids){var i,ii,id,item;if(ids==undefined)ids=[];if(!Array.isArray(ids))ids=[ids];for(i=0,ii=this.selection.length;i<ii;i++){id=this.selection[i];item=this.items[id];if(item)item.unselect()}this.selection=[];for(i=0,ii=ids.length;i<ii;i++){id=ids[i];item=this.items[id];if(item){this.selection.push(id);item.select()}}};ItemSet.prototype.getSelection=function(){return this.selection.concat([])};ItemSet.prototype.getVisibleItems=function(){var range=this.body.range.getRange();var right,left;if(this.options.rtl){right=this.body.util.toScreen(range.start);left=this.body.util.toScreen(range.end)}else{left=this.body.util.toScreen(range.start);right=this.body.util.toScreen(range.end)}var ids=[];for(var groupId in this.groups){if(this.groups.hasOwnProperty(groupId)){var group=this.groups[groupId];var rawVisibleItems=group.isVisible?group.visibleItems:[];for(var i=0;i<rawVisibleItems.length;i++){var item=rawVisibleItems[i];if(this.options.rtl){if(item.right<left&&item.right+item.width>right){ids.push(item.id)}}else{if(item.left<right&&item.left+item.width>left){ids.push(item.id)}}}}}return ids};ItemSet.prototype._deselect=function(id){var selection=this.selection;for(var i=0,ii=selection.length;i<ii;i++){if(selection[i]==id){selection.splice(i,1);break}}};ItemSet.prototype.redraw=function(){var margin=this.options.margin,range=this.body.range,asSize=util.option.asSize,options=this.options,orientation=options.orientation.item,resized=false,frame=this.dom.frame;this.props.top=this.body.domProps.top.height+this.body.domProps.border.top;if(this.options.rtl){this.props.right=this.body.domProps.right.width+this.body.domProps.border.right}else{this.props.left=this.body.domProps.left.width+this.body.domProps.border.left}frame.className=\"vis-itemset\";resized=this._orderGroups()||resized;var visibleInterval=range.end-range.start;var zoomed=visibleInterval!=this.lastVisibleInterval||this.props.width!=this.props.lastWidth;var scrolled=range.start!=this.lastRangeStart;var changedStackOption=options.stack!=this.lastStack;var changedStackSubgroupsOption=options.stackSubgroups!=this.lastStackSubgroups;var forceRestack=zoomed||scrolled||changedStackOption||changedStackSubgroupsOption;this.lastVisibleInterval=visibleInterval;this.lastRangeStart=range.start;this.lastStack=options.stack;this.lastStackSubgroups=options.stackSubgroups;this.props.lastWidth=this.props.width;var firstGroup=this._firstGroup();var firstMargin={item:margin.item,axis:margin.axis};var nonFirstMargin={item:margin.item,axis:margin.item.vertical/2};var height=0;var minHeight=margin.axis+margin.item.vertical;this.groups[BACKGROUND].redraw(range,nonFirstMargin,forceRestack);var redrawQueue={};var redrawQueueLength=0;util.forEach(this.groups,function(group,key){if(key===BACKGROUND)return;var groupMargin=group==firstGroup?firstMargin:nonFirstMargin;var returnQueue=true;redrawQueue[key]=group.redraw(range,groupMargin,forceRestack,returnQueue);redrawQueueLength=redrawQueue[key].length});var needRedraw=redrawQueueLength>0;if(needRedraw){var redrawResults={};for(var i=0;i<redrawQueueLength;i++){util.forEach(redrawQueue,function(fns,key){redrawResults[key]=fns[i]()})}util.forEach(this.groups,function(group,key){if(key===BACKGROUND)return;var groupResized=redrawResults[key];resized=groupResized||resized;height+=group.height});height=Math.max(height,minHeight)}height=Math.max(height,minHeight);frame.style.height=asSize(height);this.props.width=frame.offsetWidth;this.props.height=height;this.dom.axis.style.top=asSize(orientation==\"top\"?this.body.domProps.top.height+this.body.domProps.border.top:this.body.domProps.top.height+this.body.domProps.centerContainer.height);if(this.options.rtl){this.dom.axis.style.right=\"0\"}else{this.dom.axis.style.left=\"0\"}this.initialItemSetDrawn=true;resized=this._isResized()||resized;return resized};ItemSet.prototype._firstGroup=function(){var firstGroupIndex=this.options.orientation.item==\"top\"?0:this.groupIds.length-1;var firstGroupId=this.groupIds[firstGroupIndex];var firstGroup=this.groups[firstGroupId]||this.groups[UNGROUPED];return firstGroup||null};ItemSet.prototype._updateUngrouped=function(){var ungrouped=this.groups[UNGROUPED];var item,itemId;if(this.groupsData){if(ungrouped){ungrouped.hide();delete this.groups[UNGROUPED];for(itemId in this.items){if(this.items.hasOwnProperty(itemId)){item=this.items[itemId];item.parent&&item.parent.remove(item);var groupId=this._getGroupId(item.data);var group=this.groups[groupId];group&&group.add(item)||item.hide()}}}}else{if(!ungrouped){var id=null;var data=null;ungrouped=new Group(id,data,this);this.groups[UNGROUPED]=ungrouped;for(itemId in this.items){if(this.items.hasOwnProperty(itemId)){item=this.items[itemId];ungrouped.add(item)}}ungrouped.show()}}};ItemSet.prototype.getLabelSet=function(){return this.dom.labelSet};ItemSet.prototype.setItems=function(items){var me=this,ids,oldItemsData=this.itemsData;if(!items){this.itemsData=null}else if(items instanceof DataSet||items instanceof DataView){this.itemsData=items}else{throw new TypeError(\"Data must be an instance of DataSet or DataView\")}if(oldItemsData){util.forEach(this.itemListeners,function(callback,event){oldItemsData.off(event,callback)});ids=oldItemsData.getIds();this._onRemove(ids)}if(this.itemsData){var id=this.id;util.forEach(this.itemListeners,function(callback,event){me.itemsData.on(event,callback,id)});ids=this.itemsData.getIds();this._onAdd(ids);this._updateUngrouped()}this.body.emitter.emit(\"_change\",{queue:true})};ItemSet.prototype.getItems=function(){return this.itemsData};ItemSet.prototype.setGroups=function(groups){var me=this,ids;if(this.groupsData){util.forEach(this.groupListeners,function(callback,event){me.groupsData.off(event,callback)});ids=this.groupsData.getIds();this.groupsData=null;this._onRemoveGroups(ids)}if(!groups){this.groupsData=null}else if(groups instanceof DataSet||groups instanceof DataView){this.groupsData=groups}else{throw new TypeError(\"Data must be an instance of DataSet or DataView\")}if(this.groupsData){var groupsData=this.groupsData;if(this.groupsData instanceof DataView){groupsData=this.groupsData.getDataSet()}groupsData.get().forEach(function(group){if(group.nestedGroups){group.nestedGroups.forEach(function(nestedGroupId){var updatedNestedGroup=groupsData.get(nestedGroupId);updatedNestedGroup.nestedInGroup=group.id;if(group.showNested==false){updatedNestedGroup.visible=false}groupsData.update(updatedNestedGroup)})}});var id=this.id;util.forEach(this.groupListeners,function(callback,event){me.groupsData.on(event,callback,id)});ids=this.groupsData.getIds();this._onAddGroups(ids)}this._updateUngrouped();this._order();this.body.emitter.emit(\"_change\",{queue:true})};ItemSet.prototype.getGroups=function(){return this.groupsData};ItemSet.prototype.removeItem=function(id){var item=this.itemsData.get(id),dataset=this.itemsData.getDataSet();if(item){this.options.onRemove(item,function(item){if(item){dataset.remove(id)}})}};ItemSet.prototype._getType=function(itemData){return itemData.type||this.options.type||(itemData.end?\"range\":\"box\")};ItemSet.prototype._getGroupId=function(itemData){var type=this._getType(itemData);if(type==\"background\"&&itemData.group==undefined){return BACKGROUND}else{return this.groupsData?itemData.group:UNGROUPED}};ItemSet.prototype._onUpdate=function(ids){var me=this;ids.forEach(function(id){var itemData=me.itemsData.get(id,me.itemOptions);var item=me.items[id];var type=itemData?me._getType(itemData):null;var constructor=ItemSet.types[type];var selected;if(item){if(!constructor||!(item instanceof constructor)){selected=item.selected;me._removeItem(item);item=null}else{me._updateItem(item,itemData)}}if(!item&&itemData){if(constructor){item=new constructor(itemData,me.conversion,me.options);item.id=id;me._addItem(item);if(selected){this.selection.push(id);item.select()}}else if(type==\"rangeoverflow\"){throw new TypeError('Item type \"rangeoverflow\" is deprecated. Use css styling instead: '+\".vis-item.vis-range .vis-item-content {overflow: visible;}\")}else{throw new TypeError('Unknown item type \"'+type+'\"')}}}.bind(this));this._order();this.body.emitter.emit(\"_change\",{queue:true})};ItemSet.prototype._onAdd=ItemSet.prototype._onUpdate;ItemSet.prototype._onRemove=function(ids){var count=0;var me=this;ids.forEach(function(id){var item=me.items[id];if(item){count++;me._removeItem(item)}});if(count){this._order();this.body.emitter.emit(\"_change\",{queue:true})}};ItemSet.prototype._order=function(){util.forEach(this.groups,function(group){group.order()})};ItemSet.prototype._onUpdateGroups=function(ids){this._onAddGroups(ids)};ItemSet.prototype._onAddGroups=function(ids){var me=this;ids.forEach(function(id){var groupData=me.groupsData.get(id);var group=me.groups[id];if(!group){if(id==UNGROUPED||id==BACKGROUND){throw new Error(\"Illegal group id. \"+id+\" is a reserved id.\")}var groupOptions=(0,_create2[\"default\"])(me.options);util.extend(groupOptions,{height:null});group=new Group(id,groupData,me);me.groups[id]=group;for(var itemId in me.items){if(me.items.hasOwnProperty(itemId)){var item=me.items[itemId];if(item.data.group==id){group.add(item)}}}group.order();group.show()}else{group.setData(groupData)}});this.body.emitter.emit(\"_change\",{queue:true})};ItemSet.prototype._onRemoveGroups=function(ids){var groups=this.groups;ids.forEach(function(id){var group=groups[id];if(group){group.hide();delete groups[id]}});this.markDirty();this.body.emitter.emit(\"_change\",{queue:true})};ItemSet.prototype._orderGroups=function(){if(this.groupsData){var groupIds=this.groupsData.getIds({order:this.options.groupOrder});groupIds=this._orderNestedGroups(groupIds);var changed=!util.equalArray(groupIds,this.groupIds);if(changed){var groups=this.groups;groupIds.forEach(function(groupId){groups[groupId].hide()});groupIds.forEach(function(groupId){groups[groupId].show()});this.groupIds=groupIds}return changed}else{return false}};ItemSet.prototype._orderNestedGroups=function(groupIds){var newGroupIdsOrder=[];groupIds.forEach(function(groupId){var groupData=this.groupsData.get(groupId);if(!groupData.nestedInGroup){newGroupIdsOrder.push(groupId)}if(groupData.nestedGroups){var nestedGroups=this.groupsData.get({filter:function filter(nestedGroup){return nestedGroup.nestedInGroup==groupId},order:this.options.groupOrder});var nestedGroupIds=nestedGroups.map(function(nestedGroup){return nestedGroup.id});newGroupIdsOrder=newGroupIdsOrder.concat(nestedGroupIds)}},this);return newGroupIdsOrder};ItemSet.prototype._addItem=function(item){this.items[item.id]=item;var groupId=this._getGroupId(item.data);var group=this.groups[groupId];if(!group){item.groupShowing=false}else if(group&&group.data&&group.data.showNested){item.groupShowing=true}if(group)group.add(item)};ItemSet.prototype._updateItem=function(item,itemData){item.setData(itemData);var groupId=this._getGroupId(item.data);var group=this.groups[groupId];if(!group){item.groupShowing=false}else if(group&&group.data&&group.data.showNested){item.groupShowing=true}};ItemSet.prototype._removeItem=function(item){item.hide();delete this.items[item.id];var index=this.selection.indexOf(item.id);if(index!=-1)this.selection.splice(index,1);item.parent&&item.parent.remove(item)};ItemSet.prototype._constructByEndArray=function(array){var endArray=[];for(var i=0;i<array.length;i++){if(array[i]instanceof RangeItem){endArray.push(array[i])}}return endArray};ItemSet.prototype._onTouch=function(event){this.touchParams.item=this.itemFromTarget(event);this.touchParams.dragLeftItem=event.target.dragLeftItem||false;this.touchParams.dragRightItem=event.target.dragRightItem||false;this.touchParams.itemProps=null};ItemSet.prototype._getGroupIndex=function(groupId){for(var i=0;i<this.groupIds.length;i++){if(groupId==this.groupIds[i])return i}};ItemSet.prototype._onDragStart=function(event){if(this.touchParams.itemIsDragging){return}var item=this.touchParams.item||null;var me=this;var props;if(item&&(item.selected||this.options.itemsAlwaysDraggable.item)){if(this.options.editable.overrideItems&&!this.options.editable.updateTime&&!this.options.editable.updateGroup){return}if(item.editable!=null&&!item.editable.updateTime&&!item.editable.updateGroup&&!this.options.editable.overrideItems){return}var dragLeftItem=this.touchParams.dragLeftItem;var dragRightItem=this.touchParams.dragRightItem;this.touchParams.itemIsDragging=true;this.touchParams.selectedItem=item;if(dragLeftItem){props={item:dragLeftItem,initialX:event.center.x,dragLeft:true,data:this._cloneItemData(item.data)};this.touchParams.itemProps=[props]}else if(dragRightItem){props={item:dragRightItem,initialX:event.center.x,dragRight:true,data:this._cloneItemData(item.data)};this.touchParams.itemProps=[props]}else if(this.options.editable.add&&(event.srcEvent.ctrlKey||event.srcEvent.metaKey)){this._onDragStartAddItem(event)}else{if(this.groupIds.length<1){this.redraw()}var baseGroupIndex=this._getGroupIndex(item.data.group);var itemsToDrag=this.options.itemsAlwaysDraggable.item&&!item.selected?[item.id]:this.getSelection();this.touchParams.itemProps=itemsToDrag.map(function(id){var item=me.items[id];var groupIndex=me._getGroupIndex(item.data.group);return{item:item,initialX:event.center.x,groupOffset:baseGroupIndex-groupIndex,data:this._cloneItemData(item.data)}}.bind(this))}event.stopPropagation()}else if(this.options.editable.add&&(event.srcEvent.ctrlKey||event.srcEvent.metaKey)){this._onDragStartAddItem(event)}};ItemSet.prototype._onDragStartAddItem=function(event){var xAbs;var x;var snap=this.options.snap||null;if(this.options.rtl){xAbs=util.getAbsoluteRight(this.dom.frame);x=xAbs-event.center.x+10}else{xAbs=util.getAbsoluteLeft(this.dom.frame);x=event.center.x-xAbs-10}var time=this.body.util.toTime(x);var scale=this.body.util.getScale();var step=this.body.util.getStep();var start=snap?snap(time,scale,step):time;var end=start;var itemData={type:\"range\",start:start,end:end,content:\"new item\"};var id=util.randomUUID();itemData[this.itemsData._fieldId]=id;var group=this.groupFromTarget(event);if(group){itemData.group=group.groupId}var newItem=new RangeItem(itemData,this.conversion,this.options);newItem.id=id;newItem.data=this._cloneItemData(itemData);this._addItem(newItem);this.touchParams.selectedItem=newItem;var props={item:newItem,initialX:event.center.x,data:newItem.data};if(this.options.rtl){props.dragLeft=true}else{props.dragRight=true}this.touchParams.itemProps=[props];event.stopPropagation()};ItemSet.prototype._onDrag=function(event){if(this.touchParams.itemProps){event.stopPropagation();var me=this;var snap=this.options.snap||null;var xOffset;if(this.options.rtl){xOffset=this.body.dom.root.offsetLeft+this.body.domProps.right.width}else{xOffset=this.body.dom.root.offsetLeft+this.body.domProps.left.width}var scale=this.body.util.getScale();var step=this.body.util.getStep();var selectedItem=this.touchParams.selectedItem;var updateGroupAllowed=(this.options.editable.overrideItems||selectedItem.editable==null)&&this.options.editable.updateGroup||!this.options.editable.overrideItems&&selectedItem.editable!=null&&selectedItem.editable.updateGroup;var newGroupBase=null;if(updateGroupAllowed&&selectedItem){if(selectedItem.data.group!=undefined){var group=me.groupFromTarget(event);if(group){newGroupBase=this._getGroupIndex(group.groupId)}}}this.touchParams.itemProps.forEach(function(props){var current=me.body.util.toTime(event.center.x-xOffset);var initial=me.body.util.toTime(props.initialX-xOffset);var offset;var initialStart;var initialEnd;var start;var end;if(this.options.rtl){offset=-(current-initial)}else{offset=current-initial}var itemData=this._cloneItemData(props.item.data);if(props.item.editable!=null&&!props.item.editable.updateTime&&!props.item.editable.updateGroup&&!me.options.editable.overrideItems){return}var updateTimeAllowed=(this.options.editable.overrideItems||selectedItem.editable==null)&&this.options.editable.updateTime||!this.options.editable.overrideItems&&selectedItem.editable!=null&&selectedItem.editable.updateTime;if(updateTimeAllowed){if(props.dragLeft){if(this.options.rtl){if(itemData.end!=undefined){initialEnd=util.convert(props.data.end,\"Date\");end=new Date(initialEnd.valueOf()+offset);itemData.end=snap?snap(end,scale,step):end}}else{if(itemData.start!=undefined){initialStart=util.convert(props.data.start,\"Date\");start=new Date(initialStart.valueOf()+offset);itemData.start=snap?snap(start,scale,step):start}}}else if(props.dragRight){if(this.options.rtl){if(itemData.start!=undefined){initialStart=util.convert(props.data.start,\"Date\");start=new Date(initialStart.valueOf()+offset);itemData.start=snap?snap(start,scale,step):start}}else{if(itemData.end!=undefined){initialEnd=util.convert(props.data.end,\"Date\");end=new Date(initialEnd.valueOf()+offset);itemData.end=snap?snap(end,scale,step):end}}}else{if(itemData.start!=undefined){initialStart=util.convert(props.data.start,\"Date\").valueOf();start=new Date(initialStart+offset);if(itemData.end!=undefined){initialEnd=util.convert(props.data.end,\"Date\");var duration=initialEnd.valueOf()-initialStart.valueOf();itemData.start=snap?snap(start,scale,step):start;itemData.end=new Date(itemData.start.valueOf()+duration)}else{itemData.start=snap?snap(start,scale,step):start}}}}if(updateGroupAllowed&&!props.dragLeft&&!props.dragRight&&newGroupBase!=null){if(itemData.group!=undefined){var newOffset=newGroupBase-props.groupOffset;newOffset=Math.max(0,newOffset);newOffset=Math.min(me.groupIds.length-1,newOffset);itemData.group=me.groupIds[newOffset]}}itemData=this._cloneItemData(itemData);me.options.onMoving(itemData,function(itemData){if(itemData){props.item.setData(this._cloneItemData(itemData,\"Date\"))}}.bind(this))}.bind(this));this.body.emitter.emit(\"_change\")}};ItemSet.prototype._moveToGroup=function(item,groupId){var group=this.groups[groupId];if(group&&group.groupId!=item.data.group){var oldGroup=item.parent;oldGroup.remove(item);oldGroup.order();item.data.group=group.groupId;group.add(item);group.order()}};ItemSet.prototype._onDragEnd=function(event){this.touchParams.itemIsDragging=false;if(this.touchParams.itemProps){event.stopPropagation();var me=this;var dataset=this.itemsData.getDataSet();var itemProps=this.touchParams.itemProps;this.touchParams.itemProps=null;itemProps.forEach(function(props){var id=props.item.id;var exists=me.itemsData.get(id,me.itemOptions)!=null;if(!exists){me.options.onAdd(props.item.data,function(itemData){me._removeItem(props.item);if(itemData){me.itemsData.getDataSet().add(itemData)}me.body.emitter.emit(\"_change\")})}else{var itemData=this._cloneItemData(props.item.data);me.options.onMove(itemData,function(itemData){if(itemData){itemData[dataset._fieldId]=id;dataset.update(itemData)}else{props.item.setData(props.data);me.body.emitter.emit(\"_change\")}})}}.bind(this))}};ItemSet.prototype._onGroupClick=function(event){var group=this.groupFromTarget(event);if(!group||!group.nestedGroups)return;var groupsData=this.groupsData.getDataSet();var nestingGroup=groupsData.get(group.groupId);if(nestingGroup.showNested==undefined){nestingGroup.showNested=true}nestingGroup.showNested=!nestingGroup.showNested;var nestedGroups=groupsData.get(group.nestedGroups).map(function(nestedGroup){nestedGroup.visible=nestingGroup.showNested;return nestedGroup});groupsData.update(nestedGroups.concat(nestingGroup));if(nestingGroup.showNested){util.removeClassName(group.dom.label,\"collapsed\");util.addClassName(group.dom.label,\"expanded\")}else{util.removeClassName(group.dom.label,\"expanded\");var collapsedDirClassName=this.options.rtl?\"collapsed-rtl\":\"collapsed\";util.addClassName(group.dom.label,collapsedDirClassName)}};ItemSet.prototype._onGroupDragStart=function(event){if(this.options.groupEditable.order){this.groupTouchParams.group=this.groupFromTarget(event);if(this.groupTouchParams.group){event.stopPropagation();this.groupTouchParams.originalOrder=this.groupsData.getIds({order:this.options.groupOrder})}}};ItemSet.prototype._onGroupDrag=function(event){if(this.options.groupEditable.order&&this.groupTouchParams.group){event.stopPropagation();var groupsData=this.groupsData;if(this.groupsData instanceof DataView){groupsData=this.groupsData.getDataSet()}var group=this.groupFromTarget(event);if(group&&group.height!=this.groupTouchParams.group.height){var movingUp=group.top<this.groupTouchParams.group.top;var clientY=event.center?event.center.y:event.clientY;var targetGroupTop=util.getAbsoluteTop(group.dom.foreground);var draggedGroupHeight=this.groupTouchParams.group.height;if(movingUp){if(targetGroupTop+draggedGroupHeight<clientY){return}}else{var targetGroupHeight=group.height;if(targetGroupTop+targetGroupHeight-draggedGroupHeight>clientY){return}}}if(group&&group!=this.groupTouchParams.group){var targetGroup=groupsData.get(group.groupId);var draggedGroup=groupsData.get(this.groupTouchParams.group.groupId);if(draggedGroup&&targetGroup){this.options.groupOrderSwap(draggedGroup,targetGroup,groupsData);groupsData.update(draggedGroup);groupsData.update(targetGroup)}var newOrder=groupsData.getIds({order:this.options.groupOrder});if(!util.equalArray(newOrder,this.groupTouchParams.originalOrder)){var origOrder=this.groupTouchParams.originalOrder;var draggedId=this.groupTouchParams.group.groupId;var numGroups=Math.min(origOrder.length,newOrder.length);var curPos=0;var newOffset=0;var orgOffset=0;while(curPos<numGroups){while(curPos+newOffset<numGroups&&curPos+orgOffset<numGroups&&newOrder[curPos+newOffset]==origOrder[curPos+orgOffset]){curPos++}if(curPos+newOffset>=numGroups){break}if(newOrder[curPos+newOffset]==draggedId){newOffset=1}else if(origOrder[curPos+orgOffset]==draggedId){orgOffset=1}else{var slippedPosition=newOrder.indexOf(origOrder[curPos+orgOffset]);var switchGroup=groupsData.get(newOrder[curPos+newOffset]);var shouldBeGroup=groupsData.get(origOrder[curPos+orgOffset]);this.options.groupOrderSwap(switchGroup,shouldBeGroup,groupsData);groupsData.update(switchGroup);groupsData.update(shouldBeGroup);var switchGroupId=newOrder[curPos+newOffset];newOrder[curPos+newOffset]=origOrder[curPos+orgOffset];newOrder[slippedPosition]=switchGroupId;curPos++}}}}}};ItemSet.prototype._onGroupDragEnd=function(event){if(this.options.groupEditable.order&&this.groupTouchParams.group){event.stopPropagation();var me=this;var id=me.groupTouchParams.group.groupId;var dataset=me.groupsData.getDataSet();var groupData=util.extend({},dataset.get(id));me.options.onMoveGroup(groupData,function(groupData){if(groupData){groupData[dataset._fieldId]=id;dataset.update(groupData)}else{var newOrder=dataset.getIds({order:me.options.groupOrder});if(!util.equalArray(newOrder,me.groupTouchParams.originalOrder)){var origOrder=me.groupTouchParams.originalOrder;var numGroups=Math.min(origOrder.length,newOrder.length);var curPos=0;while(curPos<numGroups){while(curPos<numGroups&&newOrder[curPos]==origOrder[curPos]){curPos++}if(curPos>=numGroups){break}var slippedPosition=newOrder.indexOf(origOrder[curPos]);var switchGroup=dataset.get(newOrder[curPos]);var shouldBeGroup=dataset.get(origOrder[curPos]);me.options.groupOrderSwap(switchGroup,shouldBeGroup,dataset);dataset.update(switchGroup);dataset.update(shouldBeGroup);var switchGroupId=newOrder[curPos];newOrder[curPos]=origOrder[curPos];newOrder[slippedPosition]=switchGroupId;curPos++}}}});me.body.emitter.emit(\"groupDragged\",{groupId:id})}};ItemSet.prototype._onSelectItem=function(event){if(!this.options.selectable)return;var ctrlKey=event.srcEvent&&(event.srcEvent.ctrlKey||event.srcEvent.metaKey);var shiftKey=event.srcEvent&&event.srcEvent.shiftKey;if(ctrlKey||shiftKey){this._onMultiSelectItem(event);return}var oldSelection=this.getSelection();var item=this.itemFromTarget(event);var selection=item?[item.id]:[];this.setSelection(selection);var newSelection=this.getSelection();if(newSelection.length>0||oldSelection.length>0){this.body.emitter.emit(\"select\",{items:newSelection,event:event})}};ItemSet.prototype._onMouseOver=function(event){var item=this.itemFromTarget(event);if(!item)return;var related=this.itemFromRelatedTarget(event);if(item===related){return}var title=item.getTitle();if(this.options.showTooltips&&title){if(this.popup==null){this.popup=new Popup(this.body.dom.root,this.options.tooltip.overflowMethod||\"flip\")}this.popup.setText(title);var container=this.body.dom.centerContainer;this.popup.setPosition(event.clientX-util.getAbsoluteLeft(container)+container.offsetLeft,event.clientY-util.getAbsoluteTop(container)+container.offsetTop);this.popup.show()}else{if(this.popup!=null){this.popup.hide()}}this.body.emitter.emit(\"itemover\",{item:item.id,event:event})};ItemSet.prototype._onMouseOut=function(event){var item=this.itemFromTarget(event);if(!item)return;var related=this.itemFromRelatedTarget(event);if(item===related){return}if(this.popup!=null){this.popup.hide()}this.body.emitter.emit(\"itemout\",{item:item.id,event:event})};ItemSet.prototype._onMouseMove=function(event){var item=this.itemFromTarget(event);if(!item)return;if(this.options.showTooltips&&this.options.tooltip.followMouse){if(this.popup){if(!this.popup.hidden){var container=this.body.dom.centerContainer;this.popup.setPosition(event.clientX-util.getAbsoluteLeft(container)+container.offsetLeft,event.clientY-util.getAbsoluteTop(container)+container.offsetTop);this.popup.show()}}}};ItemSet.prototype._onMouseWheel=function(event){if(this.touchParams.itemIsDragging){this._onDragEnd(event)}};ItemSet.prototype._onUpdateItem=function(item){if(!this.options.selectable)return;if(!this.options.editable.add)return;var me=this;if(item){var itemData=me.itemsData.get(item.id);this.options.onUpdate(itemData,function(itemData){if(itemData){me.itemsData.getDataSet().update(itemData)}})}};ItemSet.prototype._onDropObjectOnItem=function(event){var item=this.itemFromTarget(event);var objectData=JSON.parse(event.dataTransfer.getData(\"text\"));this.options.onDropObjectOnItem(objectData,item)};ItemSet.prototype._onAddItem=function(event){if(!this.options.selectable)return;if(!this.options.editable.add)return;var me=this;var snap=this.options.snap||null;var xAbs;var x;if(this.options.rtl){xAbs=util.getAbsoluteRight(this.dom.frame);x=xAbs-event.center.x}else{xAbs=util.getAbsoluteLeft(this.dom.frame);x=event.center.x-xAbs}var start=this.body.util.toTime(x);var scale=this.body.util.getScale();var step=this.body.util.getStep();var end;var newItemData;if(event.type==\"drop\"){newItemData=JSON.parse(event.dataTransfer.getData(\"text\"));newItemData.content=newItemData.content?newItemData.content:\"new item\";newItemData.start=newItemData.start?newItemData.start:snap?snap(start,scale,step):start;newItemData.type=newItemData.type||\"box\";newItemData[this.itemsData._fieldId]=newItemData.id||util.randomUUID();if(newItemData.type==\"range\"&&!newItemData.end){end=this.body.util.toTime(x+this.props.width/5);newItemData.end=snap?snap(end,scale,step):end}}else{newItemData={start:snap?snap(start,scale,step):start,content:\"new item\"};newItemData[this.itemsData._fieldId]=util.randomUUID();if(this.options.type===\"range\"){\nend=this.body.util.toTime(x+this.props.width/5);newItemData.end=snap?snap(end,scale,step):end}}var group=this.groupFromTarget(event);if(group){newItemData.group=group.groupId}newItemData=this._cloneItemData(newItemData);this.options.onAdd(newItemData,function(item){if(item){me.itemsData.getDataSet().add(item);if(event.type==\"drop\"){me.setSelection([item.id])}}})};ItemSet.prototype._onMultiSelectItem=function(event){if(!this.options.selectable)return;var item=this.itemFromTarget(event);if(item){var selection=this.options.multiselect?this.getSelection():[];var shiftKey=event.srcEvent&&event.srcEvent.shiftKey||false;if(shiftKey&&this.options.multiselect){var itemGroup=this.itemsData.get(item.id).group;var lastSelectedGroup=undefined;if(this.options.multiselectPerGroup){if(selection.length>0){lastSelectedGroup=this.itemsData.get(selection[0]).group}}if(!this.options.multiselectPerGroup||lastSelectedGroup==undefined||lastSelectedGroup==itemGroup){selection.push(item.id)}var range=ItemSet._getItemRange(this.itemsData.get(selection,this.itemOptions));if(!this.options.multiselectPerGroup||lastSelectedGroup==itemGroup){selection=[];for(var id in this.items){if(this.items.hasOwnProperty(id)){var _item=this.items[id];var start=_item.data.start;var end=_item.data.end!==undefined?_item.data.end:start;if(start>=range.min&&end<=range.max&&(!this.options.multiselectPerGroup||lastSelectedGroup==this.itemsData.get(_item.id).group)&&!(_item instanceof BackgroundItem)){selection.push(_item.id)}}}}}else{var index=selection.indexOf(item.id);if(index==-1){selection.push(item.id)}else{selection.splice(index,1)}}this.setSelection(selection);this.body.emitter.emit(\"select\",{items:this.getSelection(),event:event})}};ItemSet._getItemRange=function(itemsData){var max=null;var min=null;itemsData.forEach(function(data){if(min==null||data.start<min){min=data.start}if(data.end!=undefined){if(max==null||data.end>max){max=data.end}}else{if(max==null||data.start>max){max=data.start}}});return{min:min,max:max}};ItemSet.prototype.itemFromElement=function(element){var cur=element;while(cur){if(cur.hasOwnProperty(\"timeline-item\")){return cur[\"timeline-item\"]}cur=cur.parentNode}return null};ItemSet.prototype.itemFromTarget=function(event){return this.itemFromElement(event.target)};ItemSet.prototype.itemFromRelatedTarget=function(event){return this.itemFromElement(event.relatedTarget)};ItemSet.prototype.groupFromTarget=function(event){var clientY=event.center?event.center.y:event.clientY;var groupIds=this.groupIds;if(groupIds.length<=0&&this.groupsData){groupIds=this.groupsData.getIds({order:this.options.groupOrder})}for(var i=0;i<groupIds.length;i++){var groupId=groupIds[i];var group=this.groups[groupId];var foreground=group.dom.foreground;var top=util.getAbsoluteTop(foreground);if(clientY>top&&clientY<top+foreground.offsetHeight){return group}if(this.options.orientation.item===\"top\"){if(i===this.groupIds.length-1&&clientY>top){return group}}else{if(i===0&&clientY<top+foreground.offset){return group}}}return null};ItemSet.itemSetFromTarget=function(event){var target=event.target;while(target){if(target.hasOwnProperty(\"timeline-itemset\")){return target[\"timeline-itemset\"]}target=target.parentNode}return null};ItemSet.prototype._cloneItemData=function(itemData,type){var clone=util.extend({},itemData);if(!type){type=this.itemsData.getDataSet()._options.type}if(clone.start!=undefined){clone.start=util.convert(clone.start,type&&type.start||\"Date\")}if(clone.end!=undefined){clone.end=util.convert(clone.end,type&&type.end||\"Date\")}return clone};module.exports=ItemSet},function(module,exports,__webpack_require__){\"use strict\";var EPSILON=.001;exports.orderByStart=function(items){items.sort(function(a,b){return a.data.start-b.data.start})};exports.orderByEnd=function(items){items.sort(function(a,b){var aTime=\"end\"in a.data?a.data.end:a.data.start,bTime=\"end\"in b.data?b.data.end:b.data.start;return aTime-bTime})};exports.stack=function(items,margin,force){if(force){for(var i=0;i<items.length;i++){items[i].top=null}}for(var i=0;i<items.length;i++){var item=items[i];if(item.stack&&item.top===null){item.top=margin.axis;do{var collidingItem=null;for(var j=0,jj=items.length;j<jj;j++){var other=items[j];if(other.top!==null&&other!==item&&other.stack&&exports.collision(item,other,margin.item,other.options.rtl)){collidingItem=other;break}}if(collidingItem!=null){item.top=collidingItem.top+collidingItem.height+margin.item.vertical}}while(collidingItem)}}};exports.substack=function(items,margin,subgroup){for(var i=0;i<items.length;i++){items[i].top=null}var subgroupHeight=subgroup.height;for(i=0;i<items.length;i++){var item=items[i];if(item.stack&&item.top===null){item.top=item.baseTop;do{var collidingItem=null;for(var j=0,jj=items.length;j<jj;j++){var other=items[j];if(other.top!==null&&other!==item&&exports.collision(item,other,margin.item,other.options.rtl)){collidingItem=other;break}}if(collidingItem!=null){item.top=collidingItem.top+collidingItem.height+margin.item.vertical}if(item.top+item.height>subgroupHeight){subgroupHeight=item.top+item.height}}while(collidingItem)}}subgroup.height=subgroupHeight-subgroup.top+.5*margin.item.vertical};exports.nostack=function(items,margin,subgroups,stackSubgroups){for(var i=0;i<items.length;i++){if(items[i].data.subgroup==undefined){items[i].top=margin.item.vertical}else if(items[i].data.subgroup!==undefined&&stackSubgroups){var newTop=0;for(var subgroup in subgroups){if(subgroups.hasOwnProperty(subgroup)){if(subgroups[subgroup].visible==true&&subgroups[subgroup].index<subgroups[items[i].data.subgroup].index){newTop+=subgroups[subgroup].height;subgroups[items[i].data.subgroup].top=newTop}}}items[i].top=newTop+.5*margin.item.vertical}}if(!stackSubgroups){exports.stackSubgroups(items,margin,subgroups)}};exports.stackSubgroups=function(items,margin,subgroups){for(var subgroup in subgroups){if(subgroups.hasOwnProperty(subgroup)){subgroups[subgroup].top=0;do{var collidingItem=null;for(var otherSubgroup in subgroups){if(subgroups[otherSubgroup].top!==null&&otherSubgroup!==subgroup&&subgroups[subgroup].index>subgroups[otherSubgroup].index&&exports.collisionByTimes(subgroups[subgroup],subgroups[otherSubgroup])){collidingItem=subgroups[otherSubgroup];break}}if(collidingItem!=null){subgroups[subgroup].top=collidingItem.top+collidingItem.height}}while(collidingItem)}}for(var i=0;i<items.length;i++){if(items[i].data.subgroup!==undefined){items[i].top=subgroups[items[i].data.subgroup].top+.5*margin.item.vertical}}};exports.stackSubgroupsWithInnerStack=function(subgroupItems,margin,subgroups){var doSubStack=false;var subgroupOrder=[];for(var subgroup in subgroups){if(subgroups[subgroup].hasOwnProperty(\"index\")){subgroupOrder[subgroups[subgroup].index]=subgroup}else{subgroupOrder.push(subgroup)}}for(var j=0;j<subgroupOrder.length;j++){subgroup=subgroupOrder[j];if(subgroups.hasOwnProperty(subgroup)){doSubStack=doSubStack||subgroups[subgroup].stack;subgroups[subgroup].top=0;for(var otherSubgroup in subgroups){if(subgroups[otherSubgroup].visible&&subgroups[subgroup].index>subgroups[otherSubgroup].index){subgroups[subgroup].top+=subgroups[otherSubgroup].height}}var items=subgroupItems[subgroup];for(var i=0;i<items.length;i++){if(items[i].data.subgroup!==undefined){items[i].top=subgroups[items[i].data.subgroup].top+.5*margin.item.vertical;if(subgroups[subgroup].stack){items[i].baseTop=items[i].top}}}if(doSubStack&&subgroups[subgroup].stack){exports.substack(subgroupItems[subgroup],margin,subgroups[subgroup])}}}};exports.collision=function(a,b,margin,rtl){if(rtl){return a.right-margin.horizontal+EPSILON<b.right+b.width&&a.right+a.width+margin.horizontal-EPSILON>b.right&&a.top-margin.vertical+EPSILON<b.top+b.height&&a.top+a.height+margin.vertical-EPSILON>b.top}else{return a.left-margin.horizontal+EPSILON<b.left+b.width&&a.left+a.width+margin.horizontal-EPSILON>b.left&&a.top-margin.vertical+EPSILON<b.top+b.height&&a.top+a.height+margin.vertical-EPSILON>b.top}};exports.collisionByTimes=function(a,b){return a.start<=b.start&&a.end>=b.start&&a.top<b.top+b.height&&a.top+a.height>b.top||b.start<=a.start&&b.end>=a.start&&b.top<a.top+a.height&&b.top+b.height>a.top}},function(module,exports,__webpack_require__){\"use strict\";var Item=__webpack_require__(38);function BoxItem(data,conversion,options){this.props={dot:{width:0,height:0},line:{width:0,height:0}};this.options=options;if(data){if(data.start==undefined){throw new Error('Property \"start\" missing in item '+data)}}Item.call(this,data,conversion,options)}BoxItem.prototype=new Item(null,null,null);BoxItem.prototype.isVisible=function(range){var isVisible;var align=this.options.align;var widthInMs=this.width*range.getMillisecondsPerPixel();if(align==\"right\"){isVisible=this.data.start.getTime()>range.start&&this.data.start.getTime()-widthInMs<range.end}else if(align==\"left\"){isVisible=this.data.start.getTime()+widthInMs>range.start&&this.data.start.getTime()<range.end}else{isVisible=this.data.start.getTime()+widthInMs/2>range.start&&this.data.start.getTime()-widthInMs/2<range.end}return isVisible};BoxItem.prototype._createDomElement=function(){if(!this.dom){this.dom={};this.dom.box=document.createElement(\"DIV\");this.dom.content=document.createElement(\"DIV\");this.dom.content.className=\"vis-item-content\";this.dom.box.appendChild(this.dom.content);this.dom.line=document.createElement(\"DIV\");this.dom.line.className=\"vis-line\";this.dom.dot=document.createElement(\"DIV\");this.dom.dot.className=\"vis-dot\";this.dom.box[\"timeline-item\"]=this;this.dirty=true}};BoxItem.prototype._appendDomElement=function(){if(!this.parent){throw new Error(\"Cannot redraw item: no parent attached\")}if(!this.dom.box.parentNode){var foreground=this.parent.dom.foreground;if(!foreground)throw new Error(\"Cannot redraw item: parent has no foreground container element\");foreground.appendChild(this.dom.box)}if(!this.dom.line.parentNode){var background=this.parent.dom.background;if(!background)throw new Error(\"Cannot redraw item: parent has no background container element\");background.appendChild(this.dom.line)}if(!this.dom.dot.parentNode){var axis=this.parent.dom.axis;if(!background)throw new Error(\"Cannot redraw item: parent has no axis container element\");axis.appendChild(this.dom.dot)}this.displayed=true};BoxItem.prototype._updateDirtyDomComponents=function(){if(this.dirty){this._updateContents(this.dom.content);this._updateDataAttributes(this.dom.box);this._updateStyle(this.dom.box);var editable=this.editable.updateTime||this.editable.updateGroup;var className=(this.data.className?\" \"+this.data.className:\"\")+(this.selected?\" vis-selected\":\"\")+(editable?\" vis-editable\":\" vis-readonly\");this.dom.box.className=\"vis-item vis-box\"+className;this.dom.line.className=\"vis-item vis-line\"+className;this.dom.dot.className=\"vis-item vis-dot\"+className}};BoxItem.prototype._getDomComponentsSizes=function(){return{previous:{right:this.dom.box.style.right,left:this.dom.box.style.left},dot:{height:this.dom.dot.offsetHeight,width:this.dom.dot.offsetWidth},line:{width:this.dom.line.offsetWidth},box:{width:this.dom.box.offsetWidth,height:this.dom.box.offsetHeight}}};BoxItem.prototype._updateDomComponentsSizes=function(sizes){if(this.options.rtl){this.dom.box.style.right=\"0px\"}else{this.dom.box.style.left=\"0px\"}this.props.dot.height=sizes.dot.height;this.props.dot.width=sizes.dot.width;this.props.line.width=sizes.line.width;this.width=sizes.box.width;this.height=sizes.box.height;if(this.options.rtl){this.dom.box.style.right=sizes.previous.right}else{this.dom.box.style.left=sizes.previous.left}this.dirty=false};BoxItem.prototype._repaintDomAdditionals=function(){this._repaintOnItemUpdateTimeTooltip(this.dom.box);this._repaintDragCenter();this._repaintDeleteButton(this.dom.box)};BoxItem.prototype.redraw=function(returnQueue){var sizes;var queue=[this._createDomElement.bind(this),this._appendDomElement.bind(this),this._updateDirtyDomComponents.bind(this),function(){if(this.dirty){sizes=this._getDomComponentsSizes()}}.bind(this),function(){if(this.dirty){this._updateDomComponentsSizes.bind(this)(sizes)}}.bind(this),this._repaintDomAdditionals.bind(this)];if(returnQueue){return queue}else{var result;queue.forEach(function(fn){result=fn()});return result}};BoxItem.prototype.show=function(){if(!this.displayed){this.redraw()}};BoxItem.prototype.hide=function(){if(this.displayed){var dom=this.dom;if(dom.box.parentNode)dom.box.parentNode.removeChild(dom.box);if(dom.line.parentNode)dom.line.parentNode.removeChild(dom.line);if(dom.dot.parentNode)dom.dot.parentNode.removeChild(dom.dot);this.displayed=false}};BoxItem.prototype.repositionX=function(){var start=this.conversion.toScreen(this.data.start);var align=this.options.align;if(align==\"right\"){if(this.options.rtl){this.right=start-this.width;this.dom.box.style.right=this.right+\"px\";this.dom.line.style.right=start-this.props.line.width+\"px\";this.dom.dot.style.right=start-this.props.line.width/2-this.props.dot.width/2+\"px\"}else{this.left=start-this.width;this.dom.box.style.left=this.left+\"px\";this.dom.line.style.left=start-this.props.line.width+\"px\";this.dom.dot.style.left=start-this.props.line.width/2-this.props.dot.width/2+\"px\"}}else if(align==\"left\"){if(this.options.rtl){this.right=start;this.dom.box.style.right=this.right+\"px\";this.dom.line.style.right=start+\"px\";this.dom.dot.style.right=start+this.props.line.width/2-this.props.dot.width/2+\"px\"}else{this.left=start;this.dom.box.style.left=this.left+\"px\";this.dom.line.style.left=start+\"px\";this.dom.dot.style.left=start+this.props.line.width/2-this.props.dot.width/2+\"px\"}}else{if(this.options.rtl){this.right=start-this.width/2;this.dom.box.style.right=this.right+\"px\";this.dom.line.style.right=start-this.props.line.width+\"px\";this.dom.dot.style.right=start-this.props.dot.width/2+\"px\"}else{this.left=start-this.width/2;this.dom.box.style.left=this.left+\"px\";this.dom.line.style.left=start-this.props.line.width/2+\"px\";this.dom.dot.style.left=start-this.props.dot.width/2+\"px\"}}};BoxItem.prototype.repositionY=function(){var orientation=this.options.orientation.item;var box=this.dom.box;var line=this.dom.line;var dot=this.dom.dot;if(orientation==\"top\"){box.style.top=(this.top||0)+\"px\";line.style.top=\"0\";line.style.height=this.parent.top+this.top+1+\"px\";line.style.bottom=\"\"}else{var itemSetHeight=this.parent.itemSet.props.height;var lineHeight=itemSetHeight-this.parent.top-this.parent.height+this.top;box.style.top=(this.parent.height-this.top-this.height||0)+\"px\";line.style.top=itemSetHeight-lineHeight+\"px\";line.style.bottom=\"0\"}dot.style.top=-this.props.dot.height/2+\"px\"};BoxItem.prototype.getWidthLeft=function(){return this.width/2};BoxItem.prototype.getWidthRight=function(){return this.width/2};module.exports=BoxItem},function(module,exports,__webpack_require__){\"use strict\";var Item=__webpack_require__(38);function PointItem(data,conversion,options){this.props={dot:{top:0,width:0,height:0},content:{height:0,marginLeft:0,marginRight:0}};this.options=options;if(data){if(data.start==undefined){throw new Error('Property \"start\" missing in item '+data)}}Item.call(this,data,conversion,options)}PointItem.prototype=new Item(null,null,null);PointItem.prototype.isVisible=function(range){var widthInMs=this.width*range.getMillisecondsPerPixel();return this.data.start.getTime()+widthInMs>range.start&&this.data.start<range.end};PointItem.prototype._createDomElement=function(){if(!this.dom){this.dom={};this.dom.point=document.createElement(\"div\");this.dom.content=document.createElement(\"div\");this.dom.content.className=\"vis-item-content\";this.dom.point.appendChild(this.dom.content);this.dom.dot=document.createElement(\"div\");this.dom.point.appendChild(this.dom.dot);this.dom.point[\"timeline-item\"]=this;this.dirty=true}};PointItem.prototype._appendDomElement=function(){if(!this.parent){throw new Error(\"Cannot redraw item: no parent attached\")}if(!this.dom.point.parentNode){var foreground=this.parent.dom.foreground;if(!foreground){throw new Error(\"Cannot redraw item: parent has no foreground container element\")}foreground.appendChild(this.dom.point)}this.displayed=true};PointItem.prototype._updateDirtyDomComponents=function(){if(this.dirty){this._updateContents(this.dom.content);this._updateDataAttributes(this.dom.point);this._updateStyle(this.dom.point);var editable=this.editable.updateTime||this.editable.updateGroup;var className=(this.data.className?\" \"+this.data.className:\"\")+(this.selected?\" vis-selected\":\"\")+(editable?\" vis-editable\":\" vis-readonly\");this.dom.point.className=\"vis-item vis-point\"+className;this.dom.dot.className=\"vis-item vis-dot\"+className}};PointItem.prototype._getDomComponentsSizes=function(){return{dot:{width:this.dom.dot.offsetWidth,height:this.dom.dot.offsetHeight},content:{width:this.dom.content.offsetWidth,height:this.dom.content.offsetHeight},point:{width:this.dom.point.offsetWidth,height:this.dom.point.offsetHeight}}};PointItem.prototype._updateDomComponentsSizes=function(sizes){this.props.dot.width=sizes.dot.width;this.props.dot.height=sizes.dot.height;this.props.content.height=sizes.content.height;if(this.options.rtl){this.dom.content.style.marginRight=2*this.props.dot.width+\"px\"}else{this.dom.content.style.marginLeft=2*this.props.dot.width+\"px\"}this.width=sizes.point.width;this.height=sizes.point.height;this.dom.dot.style.top=(this.height-this.props.dot.height)/2+\"px\";if(this.options.rtl){this.dom.dot.style.right=this.props.dot.width/2+\"px\"}else{this.dom.dot.style.left=this.props.dot.width/2+\"px\"}this.dirty=false};PointItem.prototype._repaintDomAdditionals=function(){this._repaintOnItemUpdateTimeTooltip(this.dom.point);this._repaintDragCenter();this._repaintDeleteButton(this.dom.point)};PointItem.prototype.redraw=function(returnQueue){var sizes;var queue=[this._createDomElement.bind(this),this._appendDomElement.bind(this),this._updateDirtyDomComponents.bind(this),function(){if(this.dirty){sizes=this._getDomComponentsSizes()}}.bind(this),function(){if(this.dirty){this._updateDomComponentsSizes.bind(this)(sizes)}}.bind(this),this._repaintDomAdditionals.bind(this)];if(returnQueue){return queue}else{var result;queue.forEach(function(fn){result=fn()});return result}};PointItem.prototype.show=function(){if(!this.displayed){this.redraw()}};PointItem.prototype.hide=function(){if(this.displayed){if(this.dom.point.parentNode){this.dom.point.parentNode.removeChild(this.dom.point)}this.displayed=false}};PointItem.prototype.repositionX=function(){var start=this.conversion.toScreen(this.data.start);if(this.options.rtl){this.right=start-this.props.dot.width;this.dom.point.style.right=this.right+\"px\"}else{this.left=start-this.props.dot.width;this.dom.point.style.left=this.left+\"px\"}};PointItem.prototype.repositionY=function(){var orientation=this.options.orientation.item;var point=this.dom.point;if(orientation==\"top\"){point.style.top=this.top+\"px\"}else{point.style.top=this.parent.height-this.top-this.height+\"px\"}};PointItem.prototype.getWidthLeft=function(){return this.props.dot.width};PointItem.prototype.getWidthRight=function(){return this.props.dot.width};module.exports=PointItem},function(module,exports,__webpack_require__){\"use strict\";var Item=__webpack_require__(38);var BackgroundGroup=__webpack_require__(69);var RangeItem=__webpack_require__(70);function BackgroundItem(data,conversion,options){this.props={content:{width:0}};this.overflow=false;if(data){if(data.start==undefined){throw new Error('Property \"start\" missing in item '+data.id)}if(data.end==undefined){throw new Error('Property \"end\" missing in item '+data.id)}}Item.call(this,data,conversion,options)}BackgroundItem.prototype=new Item(null,null,null);BackgroundItem.prototype.baseClassName=\"vis-item vis-background\";BackgroundItem.prototype.stack=false;BackgroundItem.prototype.isVisible=function(range){return this.data.start<range.end&&this.data.end>range.start};BackgroundItem.prototype._createDomElement=function(){if(!this.dom){this.dom={};this.dom.box=document.createElement(\"div\");this.dom.frame=document.createElement(\"div\");this.dom.frame.className=\"vis-item-overflow\";this.dom.box.appendChild(this.dom.frame);this.dom.content=document.createElement(\"div\");this.dom.content.className=\"vis-item-content\";this.dom.frame.appendChild(this.dom.content);this.dirty=true}};BackgroundItem.prototype._appendDomElement=function(){if(!this.parent){throw new Error(\"Cannot redraw item: no parent attached\")}if(!this.dom.box.parentNode){var background=this.parent.dom.background;if(!background){throw new Error(\"Cannot redraw item: parent has no background container element\")}background.appendChild(this.dom.box)}this.displayed=true};BackgroundItem.prototype._updateDirtyDomComponents=function(){if(this.dirty){this._updateContents(this.dom.content);this._updateDataAttributes(this.dom.content);this._updateStyle(this.dom.box);var className=(this.data.className?\" \"+this.data.className:\"\")+(this.selected?\" vis-selected\":\"\");this.dom.box.className=this.baseClassName+className}};BackgroundItem.prototype._getDomComponentsSizes=function(){this.overflow=window.getComputedStyle(this.dom.content).overflow!==\"hidden\";return{content:{width:this.dom.content.offsetWidth}}};BackgroundItem.prototype._updateDomComponentsSizes=function(sizes){this.props.content.width=sizes.content.width;this.height=0;this.dirty=false};BackgroundItem.prototype._repaintDomAdditionals=function(){};BackgroundItem.prototype.redraw=function(returnQueue){var sizes;var queue=[this._createDomElement.bind(this),this._appendDomElement.bind(this),this._updateDirtyDomComponents.bind(this),function(){if(this.dirty){sizes=this._getDomComponentsSizes.bind(this)()}}.bind(this),function(){if(this.dirty){this._updateDomComponentsSizes.bind(this)(sizes)}}.bind(this),this._repaintDomAdditionals.bind(this)];if(returnQueue){return queue}else{var result;queue.forEach(function(fn){result=fn()});return result}};BackgroundItem.prototype.show=RangeItem.prototype.show;BackgroundItem.prototype.hide=RangeItem.prototype.hide;BackgroundItem.prototype.repositionX=RangeItem.prototype.repositionX;BackgroundItem.prototype.repositionY=function(margin){var height;var orientation=this.options.orientation.item;if(this.data.subgroup!==undefined){var itemSubgroup=this.data.subgroup;this.dom.box.style.height=this.parent.subgroups[itemSubgroup].height+\"px\";if(orientation==\"top\"){this.dom.box.style.top=this.parent.top+this.parent.subgroups[itemSubgroup].top+\"px\"}else{this.dom.box.style.top=this.parent.top+this.parent.height-this.parent.subgroups[itemSubgroup].top-this.parent.subgroups[itemSubgroup].height+\"px\"}this.dom.box.style.bottom=\"\"}else{if(this.parent instanceof BackgroundGroup){height=Math.max(this.parent.height,this.parent.itemSet.body.domProps.center.height,this.parent.itemSet.body.domProps.centerContainer.height);this.dom.box.style.bottom=orientation==\"bottom\"?\"0\":\"\";this.dom.box.style.top=orientation==\"top\"?\"0\":\"\"}else{height=this.parent.height;this.dom.box.style.top=this.parent.top+\"px\";this.dom.box.style.bottom=\"\"}}this.dom.box.style.height=height+\"px\"};module.exports=BackgroundItem},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Popup=function(){function Popup(container,overflowMethod){(0,_classCallCheck3[\"default\"])(this,Popup);this.container=container;this.overflowMethod=overflowMethod||\"cap\";this.x=0;this.y=0;this.padding=5;this.hidden=false;this.frame=document.createElement(\"div\");this.frame.className=\"vis-tooltip\";this.container.appendChild(this.frame)}(0,_createClass3[\"default\"])(Popup,[{key:\"setPosition\",value:function setPosition(x,y){this.x=parseInt(x);this.y=parseInt(y)}},{key:\"setText\",value:function setText(content){if(content instanceof Element){this.frame.innerHTML=\"\";this.frame.appendChild(content)}else{this.frame.innerHTML=content}}},{key:\"show\",value:function show(doShow){if(doShow===undefined){doShow=true}if(doShow===true){var height=this.frame.clientHeight;var width=this.frame.clientWidth;var maxHeight=this.frame.parentNode.clientHeight;var maxWidth=this.frame.parentNode.clientWidth;var left=0,top=0;if(this.overflowMethod==\"flip\"){var isLeft=false,isTop=true;if(this.y-height<this.padding){isTop=false}if(this.x+width>maxWidth-this.padding){isLeft=true}if(isLeft){left=this.x-width}else{left=this.x}if(isTop){top=this.y-height}else{top=this.y}}else{top=this.y-height;if(top+height+this.padding>maxHeight){top=maxHeight-height-this.padding}if(top<this.padding){top=this.padding}left=this.x;if(left+width+this.padding>maxWidth){left=maxWidth-width-this.padding}if(left<this.padding){left=this.padding}}this.frame.style.left=left+\"px\";this.frame.style.top=top+\"px\";this.frame.style.visibility=\"visible\";this.hidden=false}else{this.hide()}}},{key:\"hide\",value:function hide(){this.hidden=true;this.frame.style.left=\"0\";this.frame.style.top=\"0\";this.frame.style.visibility=\"hidden\"}},{key:\"destroy\",value:function destroy(){this.frame.parentNode.removeChild(this.frame)}}]);return Popup}();exports[\"default\"]=Popup},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var string=\"string\";var bool=\"boolean\";var number=\"number\";var array=\"array\";var date=\"date\";var object=\"object\";var dom=\"dom\";var moment=\"moment\";var any=\"any\";var allOptions={configure:{enabled:{boolean:bool},filter:{boolean:bool,function:\"function\"},container:{dom:dom},__type__:{object:object,boolean:bool,function:\"function\"}},align:{string:string},rtl:{boolean:bool,undefined:\"undefined\"},rollingMode:{follow:{boolean:bool},offset:{number:number,undefined:\"undefined\"},__type__:{object:object}},verticalScroll:{boolean:bool,undefined:\"undefined\"},horizontalScroll:{boolean:bool,undefined:\"undefined\"},autoResize:{boolean:bool},throttleRedraw:{number:number},clickToUse:{boolean:bool},dataAttributes:{string:string,array:array},editable:{add:{boolean:bool,undefined:\"undefined\"},remove:{boolean:bool,undefined:\"undefined\"},updateGroup:{boolean:bool,undefined:\"undefined\"},updateTime:{boolean:bool,undefined:\"undefined\"},overrideItems:{boolean:bool,undefined:\"undefined\"},__type__:{boolean:bool,object:object}},end:{number:number,date:date,string:string,moment:moment},format:{minorLabels:{millisecond:{string:string,undefined:\"undefined\"},second:{string:string,undefined:\"undefined\"},minute:{string:string,undefined:\"undefined\"},hour:{string:string,undefined:\"undefined\"},weekday:{string:string,undefined:\"undefined\"},day:{string:string,undefined:\"undefined\"},week:{string:string,undefined:\"undefined\"},month:{string:string,undefined:\"undefined\"},year:{string:string,undefined:\"undefined\"},__type__:{object:object,function:\"function\"}},majorLabels:{millisecond:{string:string,undefined:\"undefined\"},second:{string:string,undefined:\"undefined\"},minute:{string:string,undefined:\"undefined\"},hour:{string:string,undefined:\"undefined\"},weekday:{string:string,undefined:\"undefined\"},day:{string:string,undefined:\"undefined\"},week:{string:string,undefined:\"undefined\"},month:{string:string,undefined:\"undefined\"},year:{string:string,undefined:\"undefined\"},__type__:{object:object,function:\"function\"}},__type__:{object:object}},moment:{function:\"function\"},groupOrder:{string:string,function:\"function\"},groupEditable:{add:{boolean:bool,undefined:\"undefined\"},remove:{boolean:bool,undefined:\"undefined\"},order:{boolean:bool,undefined:\"undefined\"},__type__:{boolean:bool,object:object}},groupOrderSwap:{function:\"function\"},height:{string:string,number:number},hiddenDates:{start:{date:date,number:number,string:string,moment:moment},end:{date:date,number:number,string:string,moment:moment},repeat:{string:string},__type__:{object:object,array:array}},itemsAlwaysDraggable:{item:{boolean:bool,undefined:\"undefined\"},range:{boolean:bool,undefined:\"undefined\"},__type__:{boolean:bool,object:object}},limitSize:{boolean:bool},locale:{string:string},locales:{__any__:{any:any},__type__:{object:object}},margin:{axis:{number:number},item:{horizontal:{number:number,undefined:\"undefined\"},vertical:{number:number,undefined:\"undefined\"},__type__:{object:object,number:number}},__type__:{object:object,number:number}},max:{date:date,number:number,string:string,moment:moment},maxHeight:{number:number,string:string},maxMinorChars:{number:number},min:{date:date,number:number,string:string,moment:moment},minHeight:{number:number,string:string},moveable:{boolean:bool},multiselect:{boolean:bool},multiselectPerGroup:{boolean:bool},onAdd:{function:\"function\"},onDropObjectOnItem:{function:\"function\"},onUpdate:{function:\"function\"},onMove:{function:\"function\"},onMoving:{function:\"function\"},onRemove:{function:\"function\"},onAddGroup:{function:\"function\"},onMoveGroup:{function:\"function\"},onRemoveGroup:{function:\"function\"},onInitialDrawComplete:{function:\"function\"},order:{function:\"function\"},orientation:{axis:{string:string,undefined:\"undefined\"},item:{string:string,undefined:\"undefined\"},__type__:{string:string,object:object}},selectable:{boolean:bool},showCurrentTime:{boolean:bool},showMajorLabels:{boolean:bool},showMinorLabels:{boolean:bool},stack:{boolean:bool},stackSubgroups:{boolean:bool},snap:{function:\"function\",null:\"null\"},start:{date:date,number:number,string:string,moment:moment},template:{function:\"function\"},groupTemplate:{function:\"function\"},visibleFrameTemplate:{string:string,function:\"function\"},showTooltips:{boolean:bool},tooltip:{followMouse:{boolean:bool},overflowMethod:{string:[\"cap\",\"flip\"]},__type__:{object:object}},tooltipOnItemUpdateTime:{template:{function:\"function\"},__type__:{boolean:bool,object:object}},timeAxis:{scale:{string:string,undefined:\"undefined\"},step:{number:number,undefined:\"undefined\"},__type__:{object:object}},type:{string:string},width:{string:string,number:number},zoomable:{boolean:bool},zoomKey:{string:[\"ctrlKey\",\"altKey\",\"metaKey\",\"\"]},zoomMax:{number:number},zoomMin:{number:number},__type__:{object:object}};var configureOptions={global:{align:[\"center\",\"left\",\"right\"],direction:false,autoResize:true,clickToUse:false,editable:{add:false,remove:false,updateGroup:false,updateTime:false},end:\"\",format:{minorLabels:{millisecond:\"SSS\",second:\"s\",minute:\"HH:mm\",hour:\"HH:mm\",weekday:\"ddd D\",day:\"D\",week:\"w\",month:\"MMM\",year:\"YYYY\"},majorLabels:{millisecond:\"HH:mm:ss\",second:\"D MMMM HH:mm\",minute:\"ddd D MMMM\",hour:\"ddd D MMMM\",weekday:\"MMMM YYYY\",day:\"MMMM YYYY\",week:\"MMMM YYYY\",month:\"YYYY\",year:\"\"}},groupsDraggable:false,height:\"\",locale:\"\",margin:{axis:[20,0,100,1],item:{horizontal:[10,0,100,1],vertical:[10,0,100,1]}},max:\"\",maxHeight:\"\",maxMinorChars:[7,0,20,1],min:\"\",minHeight:\"\",moveable:false,multiselect:false,multiselectPerGroup:false,orientation:{axis:[\"both\",\"bottom\",\"top\"],item:[\"bottom\",\"top\"]},selectable:true,showCurrentTime:false,showMajorLabels:true,showMinorLabels:true,stack:true,stackSubgroups:true,start:\"\",showTooltips:true,tooltip:{followMouse:false,overflowMethod:\"flip\"},tooltipOnItemUpdateTime:false,type:[\"box\",\"point\",\"range\",\"background\"],width:\"100%\",zoomable:true,zoomKey:[\"ctrlKey\",\"altKey\",\"metaKey\",\"\"],zoomMax:[31536e10,10,31536e10,1],zoomMin:[10,10,31536e10,1]}};exports.allOptions=allOptions;exports.configureOptions=configureOptions},function(module,exports,__webpack_require__){\"use strict\";var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var DOMutil=__webpack_require__(14);var DataSet=__webpack_require__(11);var DataView=__webpack_require__(12);var Component=__webpack_require__(16);var DataAxis=__webpack_require__(107);var GraphGroup=__webpack_require__(109);var Legend=__webpack_require__(112);var Bars=__webpack_require__(110)\n;var Lines=__webpack_require__(111);var Points=__webpack_require__(72);var UNGROUPED=\"__ungrouped__\";function LineGraph(body,options){this.id=util.randomUUID();this.body=body;this.defaultOptions={yAxisOrientation:\"left\",defaultGroup:\"default\",sort:true,sampling:true,stack:false,graphHeight:\"400px\",shaded:{enabled:false,orientation:\"bottom\"},style:\"line\",barChart:{width:50,sideBySide:false,align:\"center\"},interpolation:{enabled:true,parametrization:\"centripetal\",alpha:.5},drawPoints:{enabled:true,size:6,style:\"square\"},dataAxis:{},legend:{},groups:{visibility:{}}};this.options=util.extend({},this.defaultOptions);this.dom={};this.props={};this.hammer=null;this.groups={};this.abortedGraphUpdate=false;this.updateSVGheight=false;this.updateSVGheightOnResize=false;this.forceGraphUpdate=true;var me=this;this.itemsData=null;this.groupsData=null;this.itemListeners={add:function add(event,params,senderId){me._onAdd(params.items)},update:function update(event,params,senderId){me._onUpdate(params.items)},remove:function remove(event,params,senderId){me._onRemove(params.items)}};this.groupListeners={add:function add(event,params,senderId){me._onAddGroups(params.items)},update:function update(event,params,senderId){me._onUpdateGroups(params.items)},remove:function remove(event,params,senderId){me._onRemoveGroups(params.items)}};this.items={};this.selection=[];this.lastStart=this.body.range.start;this.touchParams={};this.svgElements={};this.setOptions(options);this.groupsUsingDefaultStyles=[0];this.body.emitter.on(\"rangechanged\",function(){me.lastStart=me.body.range.start;me.svg.style.left=util.option.asSize(-me.props.width);me.forceGraphUpdate=true;me.redraw.call(me)});this._create();this.framework={svg:this.svg,svgElements:this.svgElements,options:this.options,groups:this.groups}}LineGraph.prototype=new Component;LineGraph.prototype._create=function(){var frame=document.createElement(\"div\");frame.className=\"vis-line-graph\";this.dom.frame=frame;this.svg=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");this.svg.style.position=\"relative\";this.svg.style.height=(\"\"+this.options.graphHeight).replace(\"px\",\"\")+\"px\";this.svg.style.display=\"block\";frame.appendChild(this.svg);this.options.dataAxis.orientation=\"left\";this.yAxisLeft=new DataAxis(this.body,this.options.dataAxis,this.svg,this.options.groups);this.options.dataAxis.orientation=\"right\";this.yAxisRight=new DataAxis(this.body,this.options.dataAxis,this.svg,this.options.groups);delete this.options.dataAxis.orientation;this.legendLeft=new Legend(this.body,this.options.legend,\"left\",this.options.groups);this.legendRight=new Legend(this.body,this.options.legend,\"right\",this.options.groups);this.show()};LineGraph.prototype.setOptions=function(options){if(options){var fields=[\"sampling\",\"defaultGroup\",\"stack\",\"height\",\"graphHeight\",\"yAxisOrientation\",\"style\",\"barChart\",\"dataAxis\",\"sort\",\"groups\"];if(options.graphHeight===undefined&&options.height!==undefined){this.updateSVGheight=true;this.updateSVGheightOnResize=true}else if(this.body.domProps.centerContainer.height!==undefined&&options.graphHeight!==undefined){if(parseInt((options.graphHeight+\"\").replace(\"px\",\"\"))<this.body.domProps.centerContainer.height){this.updateSVGheight=true}}util.selectiveDeepExtend(fields,this.options,options);util.mergeOptions(this.options,options,\"interpolation\");util.mergeOptions(this.options,options,\"drawPoints\");util.mergeOptions(this.options,options,\"shaded\");util.mergeOptions(this.options,options,\"legend\");if(options.interpolation){if((0,_typeof3[\"default\"])(options.interpolation)==\"object\"){if(options.interpolation.parametrization){if(options.interpolation.parametrization==\"uniform\"){this.options.interpolation.alpha=0}else if(options.interpolation.parametrization==\"chordal\"){this.options.interpolation.alpha=1}else{this.options.interpolation.parametrization=\"centripetal\";this.options.interpolation.alpha=.5}}}}if(this.yAxisLeft){if(options.dataAxis!==undefined){this.yAxisLeft.setOptions(this.options.dataAxis);this.yAxisRight.setOptions(this.options.dataAxis)}}if(this.legendLeft){if(options.legend!==undefined){this.legendLeft.setOptions(this.options.legend);this.legendRight.setOptions(this.options.legend)}}if(this.groups.hasOwnProperty(UNGROUPED)){this.groups[UNGROUPED].setOptions(options)}}if(this.dom.frame){this.forceGraphUpdate=true;this.body.emitter.emit(\"_change\",{queue:true})}};LineGraph.prototype.hide=function(){if(this.dom.frame.parentNode){this.dom.frame.parentNode.removeChild(this.dom.frame)}};LineGraph.prototype.show=function(){if(!this.dom.frame.parentNode){this.body.dom.center.appendChild(this.dom.frame)}};LineGraph.prototype.setItems=function(items){var me=this,ids,oldItemsData=this.itemsData;if(!items){this.itemsData=null}else if(items instanceof DataSet||items instanceof DataView){this.itemsData=items}else{throw new TypeError(\"Data must be an instance of DataSet or DataView\")}if(oldItemsData){util.forEach(this.itemListeners,function(callback,event){oldItemsData.off(event,callback)});ids=oldItemsData.getIds();this._onRemove(ids)}if(this.itemsData){var id=this.id;util.forEach(this.itemListeners,function(callback,event){me.itemsData.on(event,callback,id)});ids=this.itemsData.getIds();this._onAdd(ids)}};LineGraph.prototype.setGroups=function(groups){var me=this;var ids;if(this.groupsData){util.forEach(this.groupListeners,function(callback,event){me.groupsData.off(event,callback)});ids=this.groupsData.getIds();this.groupsData=null;for(var i=0;i<ids.length;i++){this._removeGroup(ids[i])}}if(!groups){this.groupsData=null}else if(groups instanceof DataSet||groups instanceof DataView){this.groupsData=groups}else{throw new TypeError(\"Data must be an instance of DataSet or DataView\")}if(this.groupsData){var id=this.id;util.forEach(this.groupListeners,function(callback,event){me.groupsData.on(event,callback,id)});ids=this.groupsData.getIds();this._onAddGroups(ids)}};LineGraph.prototype._onUpdate=function(ids){this._updateAllGroupData(ids)};LineGraph.prototype._onAdd=function(ids){this._onUpdate(ids)};LineGraph.prototype._onRemove=function(ids){this._onUpdate(ids)};LineGraph.prototype._onUpdateGroups=function(groupIds){this._updateAllGroupData(null,groupIds)};LineGraph.prototype._onAddGroups=function(groupIds){this._onUpdateGroups(groupIds)};LineGraph.prototype._onRemoveGroups=function(groupIds){for(var i=0;i<groupIds.length;i++){this._removeGroup(groupIds[i])}this.forceGraphUpdate=true;this.body.emitter.emit(\"_change\",{queue:true})};LineGraph.prototype._removeGroup=function(groupId){if(this.groups.hasOwnProperty(groupId)){if(this.groups[groupId].options.yAxisOrientation==\"right\"){this.yAxisRight.removeGroup(groupId);this.legendRight.removeGroup(groupId);this.legendRight.redraw()}else{this.yAxisLeft.removeGroup(groupId);this.legendLeft.removeGroup(groupId);this.legendLeft.redraw()}delete this.groups[groupId]}};LineGraph.prototype._updateGroup=function(group,groupId){if(!this.groups.hasOwnProperty(groupId)){this.groups[groupId]=new GraphGroup(group,groupId,this.options,this.groupsUsingDefaultStyles);if(this.groups[groupId].options.yAxisOrientation==\"right\"){this.yAxisRight.addGroup(groupId,this.groups[groupId]);this.legendRight.addGroup(groupId,this.groups[groupId])}else{this.yAxisLeft.addGroup(groupId,this.groups[groupId]);this.legendLeft.addGroup(groupId,this.groups[groupId])}}else{this.groups[groupId].update(group);if(this.groups[groupId].options.yAxisOrientation==\"right\"){this.yAxisRight.updateGroup(groupId,this.groups[groupId]);this.legendRight.updateGroup(groupId,this.groups[groupId]);this.yAxisLeft.removeGroup(groupId);this.legendLeft.removeGroup(groupId)}else{this.yAxisLeft.updateGroup(groupId,this.groups[groupId]);this.legendLeft.updateGroup(groupId,this.groups[groupId]);this.yAxisRight.removeGroup(groupId);this.legendRight.removeGroup(groupId)}}this.legendLeft.redraw();this.legendRight.redraw()};LineGraph.prototype._updateAllGroupData=function(ids,groupIds){if(this.itemsData!=null){var groupsContent={};var items=this.itemsData.get();var fieldId=this.itemsData._fieldId;var idMap={};if(ids){ids.map(function(id){idMap[id]=id})}var groupCounts={};for(var i=0;i<items.length;i++){var item=items[i];var groupId=item.group;if(groupId===null||groupId===undefined){groupId=UNGROUPED}groupCounts.hasOwnProperty(groupId)?groupCounts[groupId]++:groupCounts[groupId]=1}var existingItemsMap={};if(!groupIds&&ids){for(groupId in this.groups){if(this.groups.hasOwnProperty(groupId)){group=this.groups[groupId];var existing_items=group.getItems();groupsContent[groupId]=existing_items.filter(function(item){existingItemsMap[item[fieldId]]=item[fieldId];return item[fieldId]!==idMap[item[fieldId]]});var newLength=groupCounts[groupId];groupCounts[groupId]-=groupsContent[groupId].length;if(groupsContent[groupId].length<newLength){groupsContent[groupId][newLength-1]={}}}}}for(i=0;i<items.length;i++){item=items[i];groupId=item.group;if(groupId===null||groupId===undefined){groupId=UNGROUPED}if(!groupIds&&ids&&item[fieldId]!==idMap[item[fieldId]]&&existingItemsMap.hasOwnProperty(item[fieldId])){continue}if(!groupsContent.hasOwnProperty(groupId)){groupsContent[groupId]=new Array(groupCounts[groupId])}var extended=util.bridgeObject(item);extended.x=util.convert(item.x,\"Date\");extended.end=util.convert(item.end,\"Date\");extended.orginalY=item.y;extended.y=Number(item.y);extended[fieldId]=item[fieldId];var index=groupsContent[groupId].length-groupCounts[groupId]--;groupsContent[groupId][index]=extended}for(groupId in this.groups){if(this.groups.hasOwnProperty(groupId)){if(!groupsContent.hasOwnProperty(groupId)){groupsContent[groupId]=new Array(0)}}}for(groupId in groupsContent){if(groupsContent.hasOwnProperty(groupId)){if(groupsContent[groupId].length==0){if(this.groups.hasOwnProperty(groupId)){this._removeGroup(groupId)}}else{var group=undefined;if(this.groupsData!=undefined){group=this.groupsData.get(groupId)}if(group==undefined){group={id:groupId,content:this.options.defaultGroup+groupId}}this._updateGroup(group,groupId);this.groups[groupId].setItems(groupsContent[groupId])}}}this.forceGraphUpdate=true;this.body.emitter.emit(\"_change\",{queue:true})}};LineGraph.prototype.redraw=function(){var resized=false;this.props.width=this.dom.frame.offsetWidth;this.props.height=this.body.domProps.centerContainer.height-this.body.domProps.border.top-this.body.domProps.border.bottom;resized=this._isResized()||resized;var visibleInterval=this.body.range.end-this.body.range.start;var zoomed=visibleInterval!=this.lastVisibleInterval;this.lastVisibleInterval=visibleInterval;if(resized==true){this.svg.style.width=util.option.asSize(3*this.props.width);this.svg.style.left=util.option.asSize(-this.props.width);if((this.options.height+\"\").indexOf(\"%\")!=-1||this.updateSVGheightOnResize==true){this.updateSVGheight=true}}if(this.updateSVGheight==true){if(this.options.graphHeight!=this.props.height+\"px\"){this.options.graphHeight=this.props.height+\"px\";this.svg.style.height=this.props.height+\"px\"}this.updateSVGheight=false}else{this.svg.style.height=(\"\"+this.options.graphHeight).replace(\"px\",\"\")+\"px\"}if(resized==true||zoomed==true||this.abortedGraphUpdate==true||this.forceGraphUpdate==true){resized=this._updateGraph()||resized;this.forceGraphUpdate=false}else{if(this.lastStart!=0){var offset=this.body.range.start-this.lastStart;var range=this.body.range.end-this.body.range.start;if(this.props.width!=0){var rangePerPixelInv=this.props.width/range;var xOffset=offset*rangePerPixelInv;this.svg.style.left=-this.props.width-xOffset+\"px\"}}}this.legendLeft.redraw();this.legendRight.redraw();return resized};LineGraph.prototype._getSortedGroupIds=function(){var grouplist=[];for(var groupId in this.groups){if(this.groups.hasOwnProperty(groupId)){var group=this.groups[groupId];if(group.visible==true&&(this.options.groups.visibility[groupId]===undefined||this.options.groups.visibility[groupId]==true)){grouplist.push({id:groupId,zIndex:group.options.zIndex})}}}util.insertSort(grouplist,function(a,b){var az=a.zIndex;var bz=b.zIndex;if(az===undefined)az=0;if(bz===undefined)bz=0;return az==bz?0:az<bz?-1:1});var groupIds=new Array(grouplist.length);for(var i=0;i<grouplist.length;i++){groupIds[i]=grouplist[i].id}return groupIds};LineGraph.prototype._updateGraph=function(){DOMutil.prepareElements(this.svgElements);if(this.props.width!=0&&this.itemsData!=null){var group,i;var groupRanges={};var changeCalled=false;var minDate=this.body.util.toGlobalTime(-this.body.domProps.root.width);var maxDate=this.body.util.toGlobalTime(2*this.body.domProps.root.width);var groupIds=this._getSortedGroupIds();if(groupIds.length>0){var groupsData={};this._getRelevantData(groupIds,groupsData,minDate,maxDate);this._applySampling(groupIds,groupsData);for(i=0;i<groupIds.length;i++){this._convertXcoordinates(groupsData[groupIds[i]])}this._getYRanges(groupIds,groupsData,groupRanges);changeCalled=this._updateYAxis(groupIds,groupRanges);if(changeCalled==true){DOMutil.cleanupElements(this.svgElements);this.abortedGraphUpdate=true;return true}this.abortedGraphUpdate=false;var below=undefined;for(i=0;i<groupIds.length;i++){group=this.groups[groupIds[i]];if(this.options.stack===true&&this.options.style===\"line\"){if(group.options.excludeFromStacking==undefined||!group.options.excludeFromStacking){if(below!=undefined){this._stack(groupsData[group.id],groupsData[below.id]);if(group.options.shaded.enabled==true&&group.options.shaded.orientation!==\"group\"){if(group.options.shaded.orientation==\"top\"&&below.options.shaded.orientation!==\"group\"){below.options.shaded.orientation=\"group\";below.options.shaded.groupId=group.id}else{group.options.shaded.orientation=\"group\";group.options.shaded.groupId=below.id}}}below=group}}this._convertYcoordinates(groupsData[groupIds[i]],group)}var paths={};for(i=0;i<groupIds.length;i++){group=this.groups[groupIds[i]];if(group.options.style===\"line\"&&group.options.shaded.enabled==true){var dataset=groupsData[groupIds[i]];if(dataset==null||dataset.length==0){continue}if(!paths.hasOwnProperty(groupIds[i])){paths[groupIds[i]]=Lines.calcPath(dataset,group)}if(group.options.shaded.orientation===\"group\"){var subGroupId=group.options.shaded.groupId;if(groupIds.indexOf(subGroupId)===-1){console.log(group.id+\": Unknown shading group target given:\"+subGroupId);continue}if(!paths.hasOwnProperty(subGroupId)){paths[subGroupId]=Lines.calcPath(groupsData[subGroupId],this.groups[subGroupId])}Lines.drawShading(paths[groupIds[i]],group,paths[subGroupId],this.framework)}else{Lines.drawShading(paths[groupIds[i]],group,undefined,this.framework)}}}Bars.draw(groupIds,groupsData,this.framework);for(i=0;i<groupIds.length;i++){group=this.groups[groupIds[i]];if(groupsData[groupIds[i]].length>0){switch(group.options.style){case\"line\":if(!paths.hasOwnProperty(groupIds[i])){paths[groupIds[i]]=Lines.calcPath(groupsData[groupIds[i]],group)}Lines.draw(paths[groupIds[i]],group,this.framework);case\"point\":case\"points\":if(group.options.style==\"point\"||group.options.style==\"points\"||group.options.drawPoints.enabled==true){Points.draw(groupsData[groupIds[i]],group,this.framework)}break;case\"bar\":default:}}}}}DOMutil.cleanupElements(this.svgElements);return false};LineGraph.prototype._stack=function(data,subData){var index,dx,dy,subPrevPoint,subNextPoint;index=0;for(var j=0;j<data.length;j++){subPrevPoint=undefined;subNextPoint=undefined;for(var k=index;k<subData.length;k++){if(subData[k].x===data[j].x){subPrevPoint=subData[k];subNextPoint=subData[k];index=k;break}else if(subData[k].x>data[j].x){subNextPoint=subData[k];if(k==0){subPrevPoint=subNextPoint}else{subPrevPoint=subData[k-1]}index=k;break}}if(subNextPoint===undefined){subPrevPoint=subData[subData.length-1];subNextPoint=subData[subData.length-1]}dx=subNextPoint.x-subPrevPoint.x;dy=subNextPoint.y-subPrevPoint.y;if(dx==0){data[j].y=data[j].orginalY+subNextPoint.y}else{data[j].y=data[j].orginalY+dy/dx*(data[j].x-subPrevPoint.x)+subPrevPoint.y}}};LineGraph.prototype._getRelevantData=function(groupIds,groupsData,minDate,maxDate){var group,i,j,item;if(groupIds.length>0){for(i=0;i<groupIds.length;i++){group=this.groups[groupIds[i]];var itemsData=group.getItems();if(group.options.sort==true){var dateComparator=function dateComparator(a,b){return a.getTime()==b.getTime()?0:a<b?-1:1};var first=Math.max(0,util.binarySearchValue(itemsData,minDate,\"x\",\"before\",dateComparator));var last=Math.min(itemsData.length,util.binarySearchValue(itemsData,maxDate,\"x\",\"after\",dateComparator)+1);if(last<=0){last=itemsData.length}var dataContainer=new Array(last-first);for(j=first;j<last;j++){item=group.itemsData[j];dataContainer[j-first]=item}groupsData[groupIds[i]]=dataContainer}else{groupsData[groupIds[i]]=group.itemsData}}}};LineGraph.prototype._applySampling=function(groupIds,groupsData){var group;if(groupIds.length>0){for(var i=0;i<groupIds.length;i++){group=this.groups[groupIds[i]];if(group.options.sampling==true){var dataContainer=groupsData[groupIds[i]];if(dataContainer.length>0){var increment=1;var amountOfPoints=dataContainer.length;var xDistance=this.body.util.toGlobalScreen(dataContainer[dataContainer.length-1].x)-this.body.util.toGlobalScreen(dataContainer[0].x);var pointsPerPixel=amountOfPoints/xDistance;increment=Math.min(Math.ceil(.2*amountOfPoints),Math.max(1,Math.round(pointsPerPixel)));var sampledData=new Array(amountOfPoints);for(var j=0;j<amountOfPoints;j+=increment){var idx=Math.round(j/increment);sampledData[idx]=dataContainer[j]}groupsData[groupIds[i]]=sampledData.splice(0,Math.round(amountOfPoints/increment))}}}}};LineGraph.prototype._getYRanges=function(groupIds,groupsData,groupRanges){var groupData,group,i;var combinedDataLeft=[];var combinedDataRight=[];var options;if(groupIds.length>0){for(i=0;i<groupIds.length;i++){groupData=groupsData[groupIds[i]];options=this.groups[groupIds[i]].options;if(groupData.length>0){group=this.groups[groupIds[i]];if(options.stack===true&&options.style===\"bar\"){if(options.yAxisOrientation===\"left\"){combinedDataLeft=combinedDataLeft.concat(groupData)}else{combinedDataRight=combinedDataRight.concat(groupData)}}else{groupRanges[groupIds[i]]=group.getYRange(groupData,groupIds[i])}}}Bars.getStackedYRange(combinedDataLeft,groupRanges,groupIds,\"__barStackLeft\",\"left\");Bars.getStackedYRange(combinedDataRight,groupRanges,groupIds,\"__barStackRight\",\"right\")}};LineGraph.prototype._updateYAxis=function(groupIds,groupRanges){var resized=false;var yAxisLeftUsed=false;var yAxisRightUsed=false;var minLeft=1e9,minRight=1e9,maxLeft=-1e9,maxRight=-1e9,minVal,maxVal;if(groupIds.length>0){for(var i=0;i<groupIds.length;i++){var group=this.groups[groupIds[i]];if(group&&group.options.yAxisOrientation!=\"right\"){yAxisLeftUsed=true;minLeft=1e9;maxLeft=-1e9}else if(group&&group.options.yAxisOrientation){yAxisRightUsed=true;minRight=1e9;maxRight=-1e9}}for(i=0;i<groupIds.length;i++){if(groupRanges.hasOwnProperty(groupIds[i])){if(groupRanges[groupIds[i]].ignore!==true){minVal=groupRanges[groupIds[i]].min;maxVal=groupRanges[groupIds[i]].max;if(groupRanges[groupIds[i]].yAxisOrientation!=\"right\"){yAxisLeftUsed=true;minLeft=minLeft>minVal?minVal:minLeft;maxLeft=maxLeft<maxVal?maxVal:maxLeft}else{yAxisRightUsed=true;minRight=minRight>minVal?minVal:minRight;maxRight=maxRight<maxVal?maxVal:maxRight}}}}if(yAxisLeftUsed==true){this.yAxisLeft.setRange(minLeft,maxLeft)}if(yAxisRightUsed==true){this.yAxisRight.setRange(minRight,maxRight)}}resized=this._toggleAxisVisiblity(yAxisLeftUsed,this.yAxisLeft)||resized;resized=this._toggleAxisVisiblity(yAxisRightUsed,this.yAxisRight)||resized;if(yAxisRightUsed==true&&yAxisLeftUsed==true){this.yAxisLeft.drawIcons=true;this.yAxisRight.drawIcons=true}else{this.yAxisLeft.drawIcons=false;this.yAxisRight.drawIcons=false}this.yAxisRight.master=!yAxisLeftUsed;this.yAxisRight.masterAxis=this.yAxisLeft;if(this.yAxisRight.master==false){if(yAxisRightUsed==true){this.yAxisLeft.lineOffset=this.yAxisRight.width}else{this.yAxisLeft.lineOffset=0}resized=this.yAxisLeft.redraw()||resized;resized=this.yAxisRight.redraw()||resized}else{resized=this.yAxisRight.redraw()||resized}var tempGroups=[\"__barStackLeft\",\"__barStackRight\",\"__lineStackLeft\",\"__lineStackRight\"];for(i=0;i<tempGroups.length;i++){if(groupIds.indexOf(tempGroups[i])!=-1){groupIds.splice(groupIds.indexOf(tempGroups[i]),1)}}return resized};LineGraph.prototype._toggleAxisVisiblity=function(axisUsed,axis){var changed=false;if(axisUsed==false){if(axis.dom.frame.parentNode&&axis.hidden==false){axis.hide();changed=true}}else{if(!axis.dom.frame.parentNode&&axis.hidden==true){axis.show();changed=true}}return changed};LineGraph.prototype._convertXcoordinates=function(datapoints){var toScreen=this.body.util.toScreen;for(var i=0;i<datapoints.length;i++){datapoints[i].screen_x=toScreen(datapoints[i].x)+this.props.width;datapoints[i].screen_y=datapoints[i].y;if(datapoints[i].end!=undefined){datapoints[i].screen_end=toScreen(datapoints[i].end)+this.props.width}else{datapoints[i].screen_end=undefined}}};LineGraph.prototype._convertYcoordinates=function(datapoints,group){var axis=this.yAxisLeft;var svgHeight=Number(this.svg.style.height.replace(\"px\",\"\"));if(group.options.yAxisOrientation==\"right\"){axis=this.yAxisRight}for(var i=0;i<datapoints.length;i++){datapoints[i].screen_y=Math.round(axis.convertValue(datapoints[i].y))}group.setZeroPosition(Math.min(svgHeight,axis.convertValue(0)))};module.exports=LineGraph},function(module,exports,__webpack_require__){\"use strict\";var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var DOMutil=__webpack_require__(14);var Component=__webpack_require__(16);var DataScale=__webpack_require__(108);function DataAxis(body,options,svg,linegraphOptions){this.id=util.randomUUID();this.body=body;this.defaultOptions={orientation:\"left\",showMinorLabels:true,showMajorLabels:true,icons:false,majorLinesOffset:7,minorLinesOffset:4,labelOffsetX:10,labelOffsetY:2,iconWidth:20,width:\"40px\",visible:true,alignZeros:true,left:{range:{min:undefined,max:undefined},format:function format(value){return\"\"+parseFloat(value.toPrecision(3))},title:{text:undefined,style:undefined}},right:{range:{min:undefined,max:undefined},format:function format(value){return\"\"+parseFloat(value.toPrecision(3))},title:{text:undefined,style:undefined}}};this.linegraphOptions=linegraphOptions;this.linegraphSVG=svg;this.props={};this.DOMelements={lines:{},labels:{},title:{}};this.dom={};this.scale=undefined;this.range={start:0,end:0};this.options=util.extend({},this.defaultOptions);this.conversionFactor=1;this.setOptions(options);this.width=Number((\"\"+this.options.width).replace(\"px\",\"\"));this.minWidth=this.width;this.height=this.linegraphSVG.getBoundingClientRect().height;this.hidden=false;this.stepPixels=25;this.zeroCrossing=-1;this.amountOfSteps=-1;this.lineOffset=0;this.master=true;this.masterAxis=null;this.svgElements={};this.iconsRemoved=false;this.groups={};this.amountOfGroups=0;this._create();this.framework={svg:this.svg,svgElements:this.svgElements,options:this.options,groups:this.groups};var me=this;this.body.emitter.on(\"verticalDrag\",function(){me.dom.lineContainer.style.top=me.body.domProps.scrollTop+\"px\"})}DataAxis.prototype=new Component;DataAxis.prototype.addGroup=function(label,graphOptions){if(!this.groups.hasOwnProperty(label)){this.groups[label]=graphOptions}this.amountOfGroups+=1};DataAxis.prototype.updateGroup=function(label,graphOptions){if(!this.groups.hasOwnProperty(label)){this.amountOfGroups+=1}this.groups[label]=graphOptions};DataAxis.prototype.removeGroup=function(label){if(this.groups.hasOwnProperty(label)){delete this.groups[label];this.amountOfGroups-=1}};DataAxis.prototype.setOptions=function(options){if(options){var redraw=false;if(this.options.orientation!=options.orientation&&options.orientation!==undefined){redraw=true}var fields=[\"orientation\",\"showMinorLabels\",\"showMajorLabels\",\"icons\",\"majorLinesOffset\",\"minorLinesOffset\",\"labelOffsetX\",\"labelOffsetY\",\"iconWidth\",\"width\",\"visible\",\"left\",\"right\",\"alignZeros\"];util.selectiveDeepExtend(fields,this.options,options);this.minWidth=Number((\"\"+this.options.width).replace(\"px\",\"\"));if(redraw===true&&this.dom.frame){this.hide();this.show()}}};DataAxis.prototype._create=function(){this.dom.frame=document.createElement(\"div\");this.dom.frame.style.width=this.options.width;this.dom.frame.style.height=this.height;this.dom.lineContainer=document.createElement(\"div\");this.dom.lineContainer.style.width=\"100%\";this.dom.lineContainer.style.height=this.height;this.dom.lineContainer.style.position=\"relative\";this.svg=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");this.svg.style.position=\"absolute\";this.svg.style.top=\"0px\";this.svg.style.height=\"100%\";this.svg.style.width=\"100%\";this.svg.style.display=\"block\";this.dom.frame.appendChild(this.svg)};DataAxis.prototype._redrawGroupIcons=function(){DOMutil.prepareElements(this.svgElements);var x;var iconWidth=this.options.iconWidth;var iconHeight=15;var iconOffset=4;var y=iconOffset+.5*iconHeight;if(this.options.orientation===\"left\"){x=iconOffset}else{x=this.width-iconWidth-iconOffset}var groupArray=(0,_keys2[\"default\"])(this.groups);groupArray.sort(function(a,b){return a<b?-1:1});for(var i=0;i<groupArray.length;i++){var groupId=groupArray[i];if(this.groups[groupId].visible===true&&(this.linegraphOptions.visibility[groupId]===undefined||this.linegraphOptions.visibility[groupId]===true)){this.groups[groupId].getLegend(iconWidth,iconHeight,this.framework,x,y);y+=iconHeight+iconOffset}}DOMutil.cleanupElements(this.svgElements);this.iconsRemoved=false};DataAxis.prototype._cleanupIcons=function(){if(this.iconsRemoved===false){DOMutil.prepareElements(this.svgElements);DOMutil.cleanupElements(this.svgElements);this.iconsRemoved=true}};DataAxis.prototype.show=function(){this.hidden=false;if(!this.dom.frame.parentNode){if(this.options.orientation===\"left\"){this.body.dom.left.appendChild(this.dom.frame)}else{this.body.dom.right.appendChild(this.dom.frame)}}if(!this.dom.lineContainer.parentNode){this.body.dom.backgroundHorizontal.appendChild(this.dom.lineContainer)}};DataAxis.prototype.hide=function(){this.hidden=true;if(this.dom.frame.parentNode){this.dom.frame.parentNode.removeChild(this.dom.frame)}if(this.dom.lineContainer.parentNode){this.dom.lineContainer.parentNode.removeChild(this.dom.lineContainer)}};DataAxis.prototype.setRange=function(start,end){this.range.start=start;this.range.end=end};DataAxis.prototype.redraw=function(){var resized=false;var activeGroups=0;this.dom.lineContainer.style.top=this.body.domProps.scrollTop+\"px\";for(var groupId in this.groups){if(this.groups.hasOwnProperty(groupId)){if(this.groups[groupId].visible===true&&(this.linegraphOptions.visibility[groupId]===undefined||this.linegraphOptions.visibility[groupId]===true)){activeGroups++}}}if(this.amountOfGroups===0||activeGroups===0){this.hide()}else{this.show();this.height=Number(this.linegraphSVG.style.height.replace(\"px\",\"\"));this.dom.lineContainer.style.height=this.height+\"px\";this.width=this.options.visible===true?Number((\"\"+this.options.width).replace(\"px\",\"\")):0;var props=this.props;var frame=this.dom.frame;frame.className=\"vis-data-axis\";this._calculateCharSize();var orientation=this.options.orientation;var showMinorLabels=this.options.showMinorLabels;var showMajorLabels=this.options.showMajorLabels;props.minorLabelHeight=showMinorLabels?props.minorCharHeight:0;props.majorLabelHeight=showMajorLabels?props.majorCharHeight:0;props.minorLineWidth=this.body.dom.backgroundHorizontal.offsetWidth-this.lineOffset-this.width+2*this.options.minorLinesOffset;props.minorLineHeight=1;props.majorLineWidth=this.body.dom.backgroundHorizontal.offsetWidth-this.lineOffset-this.width+2*this.options.majorLinesOffset;props.majorLineHeight=1;if(orientation===\"left\"){frame.style.top=\"0\";frame.style.left=\"0\";frame.style.bottom=\"\";frame.style.width=this.width+\"px\";frame.style.height=this.height+\"px\";this.props.width=this.body.domProps.left.width;this.props.height=this.body.domProps.left.height}else{frame.style.top=\"\";frame.style.bottom=\"0\";frame.style.left=\"0\";frame.style.width=this.width+\"px\";frame.style.height=this.height+\"px\";this.props.width=this.body.domProps.right.width;this.props.height=this.body.domProps.right.height}resized=this._redrawLabels();resized=this._isResized()||resized;if(this.options.icons===true){this._redrawGroupIcons()}else{this._cleanupIcons()}this._redrawTitle(orientation)}return resized};DataAxis.prototype._redrawLabels=function(){var _this=this;var resized=false;DOMutil.prepareElements(this.DOMelements.lines);DOMutil.prepareElements(this.DOMelements.labels);var orientation=this.options[\"orientation\"];var customRange=this.options[orientation].range!=undefined?this.options[orientation].range:{};var autoScaleEnd=true;if(customRange.max!=undefined){this.range.end=customRange.max;autoScaleEnd=false}var autoScaleStart=true;if(customRange.min!=undefined){this.range.start=customRange.min;autoScaleStart=false}this.scale=new DataScale(this.range.start,this.range.end,autoScaleStart,autoScaleEnd,this.dom.frame.offsetHeight,this.props.majorCharHeight,this.options.alignZeros,this.options[orientation].format);if(this.master===false&&this.masterAxis!=undefined){this.scale.followScale(this.masterAxis.scale)}this.maxLabelSize=0;var lines=this.scale.getLines();lines.forEach(function(line){var y=line.y;var isMajor=line.major;if(_this.options[\"showMinorLabels\"]&&isMajor===false){_this._redrawLabel(y-2,line.val,orientation,\"vis-y-axis vis-minor\",_this.props.minorCharHeight)}if(isMajor){if(y>=0){_this._redrawLabel(y-2,line.val,orientation,\"vis-y-axis vis-major\",_this.props.majorCharHeight)}}if(_this.master===true){if(isMajor){_this._redrawLine(y,orientation,\"vis-grid vis-horizontal vis-major\",_this.options.majorLinesOffset,_this.props.majorLineWidth)}else{_this._redrawLine(y,orientation,\"vis-grid vis-horizontal vis-minor\",_this.options.minorLinesOffset,_this.props.minorLineWidth)}}});var titleWidth=0;if(this.options[orientation].title!==undefined&&this.options[orientation].title.text!==undefined){titleWidth=this.props.titleCharHeight}var offset=this.options.icons===true?Math.max(this.options.iconWidth,titleWidth)+this.options.labelOffsetX+15:titleWidth+this.options.labelOffsetX+15;if(this.maxLabelSize>this.width-offset&&this.options.visible===true){this.width=this.maxLabelSize+offset;this.options.width=this.width+\"px\";DOMutil.cleanupElements(this.DOMelements.lines);DOMutil.cleanupElements(this.DOMelements.labels);this.redraw();resized=true}else if(this.maxLabelSize<this.width-offset&&this.options.visible===true&&this.width>this.minWidth){this.width=Math.max(this.minWidth,this.maxLabelSize+offset);this.options.width=this.width+\"px\";DOMutil.cleanupElements(this.DOMelements.lines);DOMutil.cleanupElements(this.DOMelements.labels);this.redraw();resized=true}else{DOMutil.cleanupElements(this.DOMelements.lines);DOMutil.cleanupElements(this.DOMelements.labels);resized=false}return resized};DataAxis.prototype.convertValue=function(value){return this.scale.convertValue(value)};DataAxis.prototype.screenToValue=function(x){return this.scale.screenToValue(x)};DataAxis.prototype._redrawLabel=function(y,text,orientation,className,characterHeight){var label=DOMutil.getDOMElement(\"div\",this.DOMelements.labels,this.dom.frame);label.className=className;label.innerHTML=text;if(orientation===\"left\"){label.style.left=\"-\"+this.options.labelOffsetX+\"px\";label.style.textAlign=\"right\"}else{label.style.right=\"-\"+this.options.labelOffsetX+\"px\";label.style.textAlign=\"left\"}label.style.top=y-.5*characterHeight+this.options.labelOffsetY+\"px\";text+=\"\";var largestWidth=Math.max(this.props.majorCharWidth,this.props.minorCharWidth);if(this.maxLabelSize<text.length*largestWidth){this.maxLabelSize=text.length*largestWidth}};DataAxis.prototype._redrawLine=function(y,orientation,className,offset,width){if(this.master===true){\nvar line=DOMutil.getDOMElement(\"div\",this.DOMelements.lines,this.dom.lineContainer);line.className=className;line.innerHTML=\"\";if(orientation===\"left\"){line.style.left=this.width-offset+\"px\"}else{line.style.right=this.width-offset+\"px\"}line.style.width=width+\"px\";line.style.top=y+\"px\"}};DataAxis.prototype._redrawTitle=function(orientation){DOMutil.prepareElements(this.DOMelements.title);if(this.options[orientation].title!==undefined&&this.options[orientation].title.text!==undefined){var title=DOMutil.getDOMElement(\"div\",this.DOMelements.title,this.dom.frame);title.className=\"vis-y-axis vis-title vis-\"+orientation;title.innerHTML=this.options[orientation].title.text;if(this.options[orientation].title.style!==undefined){util.addCssText(title,this.options[orientation].title.style)}if(orientation===\"left\"){title.style.left=this.props.titleCharHeight+\"px\"}else{title.style.right=this.props.titleCharHeight+\"px\"}title.style.width=this.height+\"px\"}DOMutil.cleanupElements(this.DOMelements.title)};DataAxis.prototype._calculateCharSize=function(){if(!(\"minorCharHeight\"in this.props)){var textMinor=document.createTextNode(\"0\");var measureCharMinor=document.createElement(\"div\");measureCharMinor.className=\"vis-y-axis vis-minor vis-measure\";measureCharMinor.appendChild(textMinor);this.dom.frame.appendChild(measureCharMinor);this.props.minorCharHeight=measureCharMinor.clientHeight;this.props.minorCharWidth=measureCharMinor.clientWidth;this.dom.frame.removeChild(measureCharMinor)}if(!(\"majorCharHeight\"in this.props)){var textMajor=document.createTextNode(\"0\");var measureCharMajor=document.createElement(\"div\");measureCharMajor.className=\"vis-y-axis vis-major vis-measure\";measureCharMajor.appendChild(textMajor);this.dom.frame.appendChild(measureCharMajor);this.props.majorCharHeight=measureCharMajor.clientHeight;this.props.majorCharWidth=measureCharMajor.clientWidth;this.dom.frame.removeChild(measureCharMajor)}if(!(\"titleCharHeight\"in this.props)){var textTitle=document.createTextNode(\"0\");var measureCharTitle=document.createElement(\"div\");measureCharTitle.className=\"vis-y-axis vis-title vis-measure\";measureCharTitle.appendChild(textTitle);this.dom.frame.appendChild(measureCharTitle);this.props.titleCharHeight=measureCharTitle.clientHeight;this.props.titleCharWidth=measureCharTitle.clientWidth;this.dom.frame.removeChild(measureCharTitle)}};module.exports=DataAxis},function(module,exports,__webpack_require__){\"use strict\";function DataScale(start,end,autoScaleStart,autoScaleEnd,containerHeight,majorCharHeight){var zeroAlign=arguments.length>6&&arguments[6]!==undefined?arguments[6]:false;var formattingFunction=arguments.length>7&&arguments[7]!==undefined?arguments[7]:false;this.majorSteps=[1,2,5,10];this.minorSteps=[.25,.5,1,2];this.customLines=null;this.containerHeight=containerHeight;this.majorCharHeight=majorCharHeight;this._start=start;this._end=end;this.scale=1;this.minorStepIdx=-1;this.magnitudefactor=1;this.determineScale();this.zeroAlign=zeroAlign;this.autoScaleStart=autoScaleStart;this.autoScaleEnd=autoScaleEnd;this.formattingFunction=formattingFunction;if(autoScaleStart||autoScaleEnd){var me=this;var roundToMinor=function roundToMinor(value){var rounded=value-value%(me.magnitudefactor*me.minorSteps[me.minorStepIdx]);if(value%(me.magnitudefactor*me.minorSteps[me.minorStepIdx])>.5*(me.magnitudefactor*me.minorSteps[me.minorStepIdx])){return rounded+me.magnitudefactor*me.minorSteps[me.minorStepIdx]}else{return rounded}};if(autoScaleStart){this._start-=this.magnitudefactor*2*this.minorSteps[this.minorStepIdx];this._start=roundToMinor(this._start)}if(autoScaleEnd){this._end+=this.magnitudefactor*this.minorSteps[this.minorStepIdx];this._end=roundToMinor(this._end)}this.determineScale()}}DataScale.prototype.setCharHeight=function(majorCharHeight){this.majorCharHeight=majorCharHeight};DataScale.prototype.setHeight=function(containerHeight){this.containerHeight=containerHeight};DataScale.prototype.determineScale=function(){var range=this._end-this._start;this.scale=this.containerHeight/range;var minimumStepValue=this.majorCharHeight/this.scale;var orderOfMagnitude=range>0?Math.round(Math.log(range)/Math.LN10):0;this.minorStepIdx=-1;this.magnitudefactor=Math.pow(10,orderOfMagnitude);var start=0;if(orderOfMagnitude<0){start=orderOfMagnitude}var solutionFound=false;for(var l=start;Math.abs(l)<=Math.abs(orderOfMagnitude);l++){this.magnitudefactor=Math.pow(10,l);for(var j=0;j<this.minorSteps.length;j++){var stepSize=this.magnitudefactor*this.minorSteps[j];if(stepSize>=minimumStepValue){solutionFound=true;this.minorStepIdx=j;break}}if(solutionFound===true){break}}};DataScale.prototype.is_major=function(value){return value%(this.magnitudefactor*this.majorSteps[this.minorStepIdx])===0};DataScale.prototype.getStep=function(){return this.magnitudefactor*this.minorSteps[this.minorStepIdx]};DataScale.prototype.getFirstMajor=function(){var majorStep=this.magnitudefactor*this.majorSteps[this.minorStepIdx];return this.convertValue(this._start+(majorStep-this._start%majorStep)%majorStep)};DataScale.prototype.formatValue=function(current){var returnValue=current.toPrecision(5);if(typeof this.formattingFunction===\"function\"){returnValue=this.formattingFunction(current)}if(typeof returnValue===\"number\"){return\"\"+returnValue}else if(typeof returnValue===\"string\"){return returnValue}else{return current.toPrecision(5)}};DataScale.prototype.getLines=function(){var lines=[];var step=this.getStep();var bottomOffset=(step-this._start%step)%step;for(var i=this._start+bottomOffset;this._end-i>1e-5;i+=step){if(i!=this._start){lines.push({major:this.is_major(i),y:this.convertValue(i),val:this.formatValue(i)})}}return lines};DataScale.prototype.followScale=function(other){var oldStepIdx=this.minorStepIdx;var oldStart=this._start;var oldEnd=this._end;var me=this;var increaseMagnitude=function increaseMagnitude(){me.magnitudefactor*=2};var decreaseMagnitude=function decreaseMagnitude(){me.magnitudefactor/=2};if(other.minorStepIdx<=1&&this.minorStepIdx<=1||other.minorStepIdx>1&&this.minorStepIdx>1){}else if(other.minorStepIdx<this.minorStepIdx){this.minorStepIdx=1;if(oldStepIdx==2){increaseMagnitude()}else{increaseMagnitude();increaseMagnitude()}}else{this.minorStepIdx=2;if(oldStepIdx==1){decreaseMagnitude()}else{decreaseMagnitude();decreaseMagnitude()}}var otherZero=other.convertValue(0);var otherStep=other.getStep()*other.scale;var done=false;var count=0;while(!done&&count++<5){this.scale=otherStep/(this.minorSteps[this.minorStepIdx]*this.magnitudefactor);var newRange=this.containerHeight/this.scale;this._start=oldStart;this._end=this._start+newRange;var myOriginalZero=this._end*this.scale;var majorStep=this.magnitudefactor*this.majorSteps[this.minorStepIdx];var majorOffset=this.getFirstMajor()-other.getFirstMajor();if(this.zeroAlign){var zeroOffset=otherZero-myOriginalZero;this._end+=zeroOffset/this.scale;this._start=this._end-newRange}else{if(!this.autoScaleStart){this._start+=majorStep-majorOffset/this.scale;this._end=this._start+newRange}else{this._start-=majorOffset/this.scale;this._end=this._start+newRange}}if(!this.autoScaleEnd&&this._end>oldEnd+1e-5){decreaseMagnitude();done=false;continue}if(!this.autoScaleStart&&this._start<oldStart-1e-5){if(this.zeroAlign&&oldStart>=0){console.warn(\"Can't adhere to given 'min' range, due to zeroalign\")}else{decreaseMagnitude();done=false;continue}}if(this.autoScaleStart&&this.autoScaleEnd&&newRange<oldEnd-oldStart){increaseMagnitude();done=false;continue}done=true}};DataScale.prototype.convertValue=function(value){return this.containerHeight-(value-this._start)*this.scale};DataScale.prototype.screenToValue=function(pixels){return(this.containerHeight-pixels)/this.scale+this._start};module.exports=DataScale},function(module,exports,__webpack_require__){\"use strict\";var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Bars=__webpack_require__(110);var Lines=__webpack_require__(111);var Points=__webpack_require__(72);function GraphGroup(group,groupId,options,groupsUsingDefaultStyles){this.id=groupId;var fields=[\"sampling\",\"style\",\"sort\",\"yAxisOrientation\",\"barChart\",\"drawPoints\",\"shaded\",\"interpolation\",\"zIndex\",\"excludeFromStacking\",\"excludeFromLegend\"];this.options=util.selectiveBridgeObject(fields,options);this.usingDefaultStyle=group.className===undefined;this.groupsUsingDefaultStyles=groupsUsingDefaultStyles;this.zeroPosition=0;this.update(group);if(this.usingDefaultStyle==true){this.groupsUsingDefaultStyles[0]+=1}this.itemsData=[];this.visible=group.visible===undefined?true:group.visible}GraphGroup.prototype.setItems=function(items){if(items!=null){this.itemsData=items;if(this.options.sort==true){util.insertSort(this.itemsData,function(a,b){return a.x>b.x?1:-1})}}else{this.itemsData=[]}};GraphGroup.prototype.getItems=function(){return this.itemsData};GraphGroup.prototype.setZeroPosition=function(pos){this.zeroPosition=pos};GraphGroup.prototype.setOptions=function(options){if(options!==undefined){var fields=[\"sampling\",\"style\",\"sort\",\"yAxisOrientation\",\"barChart\",\"zIndex\",\"excludeFromStacking\",\"excludeFromLegend\"];util.selectiveDeepExtend(fields,this.options,options);if(typeof options.drawPoints==\"function\"){options.drawPoints={onRender:options.drawPoints}}util.mergeOptions(this.options,options,\"interpolation\");util.mergeOptions(this.options,options,\"drawPoints\");util.mergeOptions(this.options,options,\"shaded\");if(options.interpolation){if((0,_typeof3[\"default\"])(options.interpolation)==\"object\"){if(options.interpolation.parametrization){if(options.interpolation.parametrization==\"uniform\"){this.options.interpolation.alpha=0}else if(options.interpolation.parametrization==\"chordal\"){this.options.interpolation.alpha=1}else{this.options.interpolation.parametrization=\"centripetal\";this.options.interpolation.alpha=.5}}}}}};GraphGroup.prototype.update=function(group){this.group=group;this.content=group.content||\"graph\";this.className=group.className||this.className||\"vis-graph-group\"+this.groupsUsingDefaultStyles[0]%10;this.visible=group.visible===undefined?true:group.visible;this.style=group.style;this.setOptions(group.options)};GraphGroup.prototype.getLegend=function(iconWidth,iconHeight,framework,x,y){if(framework==undefined||framework==null){var svg=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");framework={svg:svg,svgElements:{},options:this.options,groups:[this]}}if(x==undefined||x==null){x=0}if(y==undefined||y==null){y=.5*iconHeight}switch(this.options.style){case\"line\":Lines.drawIcon(this,x,y,iconWidth,iconHeight,framework);break;case\"points\":case\"point\":Points.drawIcon(this,x,y,iconWidth,iconHeight,framework);break;case\"bar\":Bars.drawIcon(this,x,y,iconWidth,iconHeight,framework);break}return{icon:framework.svg,label:this.content,orientation:this.options.yAxisOrientation}};GraphGroup.prototype.getYRange=function(groupData){var yMin=groupData[0].y;var yMax=groupData[0].y;for(var j=0;j<groupData.length;j++){yMin=yMin>groupData[j].y?groupData[j].y:yMin;yMax=yMax<groupData[j].y?groupData[j].y:yMax}return{min:yMin,max:yMax,yAxisOrientation:this.options.yAxisOrientation}};module.exports=GraphGroup},function(module,exports,__webpack_require__){\"use strict\";var DOMutil=__webpack_require__(14);var Points=__webpack_require__(72);function Bargraph(groupId,options){}Bargraph.drawIcon=function(group,x,y,iconWidth,iconHeight,framework){var fillHeight=iconHeight*.5;var outline=DOMutil.getSVGElement(\"rect\",framework.svgElements,framework.svg);outline.setAttributeNS(null,\"x\",x);outline.setAttributeNS(null,\"y\",y-fillHeight);outline.setAttributeNS(null,\"width\",iconWidth);outline.setAttributeNS(null,\"height\",2*fillHeight);outline.setAttributeNS(null,\"class\",\"vis-outline\");var barWidth=Math.round(.3*iconWidth);var originalWidth=group.options.barChart.width;var scale=originalWidth/barWidth;var bar1Height=Math.round(.4*iconHeight);var bar2Height=Math.round(.75*iconHeight);var offset=Math.round((iconWidth-2*barWidth)/3);DOMutil.drawBar(x+.5*barWidth+offset,y+fillHeight-bar1Height-1,barWidth,bar1Height,group.className+\" vis-bar\",framework.svgElements,framework.svg,group.style);DOMutil.drawBar(x+1.5*barWidth+offset+2,y+fillHeight-bar2Height-1,barWidth,bar2Height,group.className+\" vis-bar\",framework.svgElements,framework.svg,group.style);if(group.options.drawPoints.enabled==true){var groupTemplate={style:group.options.drawPoints.style,styles:group.options.drawPoints.styles,size:group.options.drawPoints.size/scale,className:group.className};DOMutil.drawPoint(x+.5*barWidth+offset,y+fillHeight-bar1Height-1,groupTemplate,framework.svgElements,framework.svg);DOMutil.drawPoint(x+1.5*barWidth+offset+2,y+fillHeight-bar2Height-1,groupTemplate,framework.svgElements,framework.svg)}};Bargraph.draw=function(groupIds,processedGroupData,framework){var combinedData=[];var intersections={};var coreDistance;var key,drawData;var group;var i,j;var barPoints=0;for(i=0;i<groupIds.length;i++){group=framework.groups[groupIds[i]];if(group.options.style===\"bar\"){if(group.visible===true&&(framework.options.groups.visibility[groupIds[i]]===undefined||framework.options.groups.visibility[groupIds[i]]===true)){for(j=0;j<processedGroupData[groupIds[i]].length;j++){combinedData.push({screen_x:processedGroupData[groupIds[i]][j].screen_x,screen_end:processedGroupData[groupIds[i]][j].screen_end,screen_y:processedGroupData[groupIds[i]][j].screen_y,x:processedGroupData[groupIds[i]][j].x,end:processedGroupData[groupIds[i]][j].end,y:processedGroupData[groupIds[i]][j].y,groupId:groupIds[i],label:processedGroupData[groupIds[i]][j].label});barPoints+=1}}}}if(barPoints===0){return}combinedData.sort(function(a,b){if(a.screen_x===b.screen_x){return a.groupId<b.groupId?-1:1}else{return a.screen_x-b.screen_x}});Bargraph._getDataIntersections(intersections,combinedData);for(i=0;i<combinedData.length;i++){group=framework.groups[combinedData[i].groupId];var minWidth=group.options.barChart.minWidth!=undefined?group.options.barChart.minWidth:.1*group.options.barChart.width;key=combinedData[i].screen_x;var heightOffset=0;if(intersections[key]===undefined){if(i+1<combinedData.length){coreDistance=Math.abs(combinedData[i+1].screen_x-key)}drawData=Bargraph._getSafeDrawData(coreDistance,group,minWidth)}else{var nextKey=i+(intersections[key].amount-intersections[key].resolved);if(nextKey<combinedData.length){coreDistance=Math.abs(combinedData[nextKey].screen_x-key)}drawData=Bargraph._getSafeDrawData(coreDistance,group,minWidth);intersections[key].resolved+=1;if(group.options.stack===true&&group.options.excludeFromStacking!==true){if(combinedData[i].screen_y<group.zeroPosition){heightOffset=intersections[key].accumulatedNegative;intersections[key].accumulatedNegative+=group.zeroPosition-combinedData[i].screen_y}else{heightOffset=intersections[key].accumulatedPositive;intersections[key].accumulatedPositive+=group.zeroPosition-combinedData[i].screen_y}}else if(group.options.barChart.sideBySide===true){drawData.width=drawData.width/intersections[key].amount;drawData.offset+=intersections[key].resolved*drawData.width-.5*drawData.width*(intersections[key].amount+1)}}var dataWidth=drawData.width;var start=combinedData[i].screen_x;if(combinedData[i].screen_end!=undefined){dataWidth=combinedData[i].screen_end-combinedData[i].screen_x;start+=dataWidth*.5}else{start+=drawData.offset}DOMutil.drawBar(start,combinedData[i].screen_y-heightOffset,dataWidth,group.zeroPosition-combinedData[i].screen_y,group.className+\" vis-bar\",framework.svgElements,framework.svg,group.style);if(group.options.drawPoints.enabled===true){var pointData={screen_x:combinedData[i].screen_x,screen_y:combinedData[i].screen_y-heightOffset,x:combinedData[i].x,y:combinedData[i].y,groupId:combinedData[i].groupId,label:combinedData[i].label};Points.draw([pointData],group,framework,drawData.offset)}}};Bargraph._getDataIntersections=function(intersections,combinedData){var coreDistance;for(var i=0;i<combinedData.length;i++){if(i+1<combinedData.length){coreDistance=Math.abs(combinedData[i+1].screen_x-combinedData[i].screen_x)}if(i>0){coreDistance=Math.min(coreDistance,Math.abs(combinedData[i-1].screen_x-combinedData[i].screen_x))}if(coreDistance===0){if(intersections[combinedData[i].screen_x]===undefined){intersections[combinedData[i].screen_x]={amount:0,resolved:0,accumulatedPositive:0,accumulatedNegative:0}}intersections[combinedData[i].screen_x].amount+=1}}};Bargraph._getSafeDrawData=function(coreDistance,group,minWidth){var width,offset;if(coreDistance<group.options.barChart.width&&coreDistance>0){width=coreDistance<minWidth?minWidth:coreDistance;offset=0;if(group.options.barChart.align===\"left\"){offset-=.5*coreDistance}else if(group.options.barChart.align===\"right\"){offset+=.5*coreDistance}}else{width=group.options.barChart.width;offset=0;if(group.options.barChart.align===\"left\"){offset-=.5*group.options.barChart.width}else if(group.options.barChart.align===\"right\"){offset+=.5*group.options.barChart.width}}return{width:width,offset:offset}};Bargraph.getStackedYRange=function(combinedData,groupRanges,groupIds,groupLabel,orientation){if(combinedData.length>0){combinedData.sort(function(a,b){if(a.screen_x===b.screen_x){return a.groupId<b.groupId?-1:1}else{return a.screen_x-b.screen_x}});var intersections={};Bargraph._getDataIntersections(intersections,combinedData);groupRanges[groupLabel]=Bargraph._getStackedYRange(intersections,combinedData);groupRanges[groupLabel].yAxisOrientation=orientation;groupIds.push(groupLabel)}};Bargraph._getStackedYRange=function(intersections,combinedData){var key;var yMin=combinedData[0].screen_y;var yMax=combinedData[0].screen_y;for(var i=0;i<combinedData.length;i++){key=combinedData[i].screen_x;if(intersections[key]===undefined){yMin=yMin>combinedData[i].screen_y?combinedData[i].screen_y:yMin;yMax=yMax<combinedData[i].screen_y?combinedData[i].screen_y:yMax}else{if(combinedData[i].screen_y<0){intersections[key].accumulatedNegative+=combinedData[i].screen_y}else{intersections[key].accumulatedPositive+=combinedData[i].screen_y}}}for(var xpos in intersections){if(intersections.hasOwnProperty(xpos)){yMin=yMin>intersections[xpos].accumulatedNegative?intersections[xpos].accumulatedNegative:yMin;yMin=yMin>intersections[xpos].accumulatedPositive?intersections[xpos].accumulatedPositive:yMin;yMax=yMax<intersections[xpos].accumulatedNegative?intersections[xpos].accumulatedNegative:yMax;yMax=yMax<intersections[xpos].accumulatedPositive?intersections[xpos].accumulatedPositive:yMax}}return{min:yMin,max:yMax}};module.exports=Bargraph},function(module,exports,__webpack_require__){\"use strict\";var DOMutil=__webpack_require__(14);function Line(groupId,options){}Line.calcPath=function(dataset,group){if(dataset!=null){if(dataset.length>0){var d=[];if(group.options.interpolation.enabled==true){d=Line._catmullRom(dataset,group)}else{d=Line._linear(dataset)}return d}}};Line.drawIcon=function(group,x,y,iconWidth,iconHeight,framework){var fillHeight=iconHeight*.5;var path,fillPath;var outline=DOMutil.getSVGElement(\"rect\",framework.svgElements,framework.svg);outline.setAttributeNS(null,\"x\",x);outline.setAttributeNS(null,\"y\",y-fillHeight);outline.setAttributeNS(null,\"width\",iconWidth);outline.setAttributeNS(null,\"height\",2*fillHeight);outline.setAttributeNS(null,\"class\",\"vis-outline\");path=DOMutil.getSVGElement(\"path\",framework.svgElements,framework.svg);path.setAttributeNS(null,\"class\",group.className);if(group.style!==undefined){path.setAttributeNS(null,\"style\",group.style)}path.setAttributeNS(null,\"d\",\"M\"+x+\",\"+y+\" L\"+(x+iconWidth)+\",\"+y+\"\");if(group.options.shaded.enabled==true){fillPath=DOMutil.getSVGElement(\"path\",framework.svgElements,framework.svg);if(group.options.shaded.orientation==\"top\"){fillPath.setAttributeNS(null,\"d\",\"M\"+x+\", \"+(y-fillHeight)+\"L\"+x+\",\"+y+\" L\"+(x+iconWidth)+\",\"+y+\" L\"+(x+iconWidth)+\",\"+(y-fillHeight))}else{fillPath.setAttributeNS(null,\"d\",\"M\"+x+\",\"+y+\" \"+\"L\"+x+\",\"+(y+fillHeight)+\" \"+\"L\"+(x+iconWidth)+\",\"+(y+fillHeight)+\"L\"+(x+iconWidth)+\",\"+y)}fillPath.setAttributeNS(null,\"class\",group.className+\" vis-icon-fill\");if(group.options.shaded.style!==undefined&&group.options.shaded.style!==\"\"){fillPath.setAttributeNS(null,\"style\",group.options.shaded.style)}}if(group.options.drawPoints.enabled==true){var groupTemplate={style:group.options.drawPoints.style,styles:group.options.drawPoints.styles,size:group.options.drawPoints.size,className:group.className};DOMutil.drawPoint(x+.5*iconWidth,y,groupTemplate,framework.svgElements,framework.svg)}};Line.drawShading=function(pathArray,group,subPathArray,framework){if(group.options.shaded.enabled==true){var svgHeight=Number(framework.svg.style.height.replace(\"px\",\"\"));var fillPath=DOMutil.getSVGElement(\"path\",framework.svgElements,framework.svg);var type=\"L\";if(group.options.interpolation.enabled==true){type=\"C\"}var dFill;var zero=0;if(group.options.shaded.orientation==\"top\"){zero=0}else if(group.options.shaded.orientation==\"bottom\"){zero=svgHeight}else{zero=Math.min(Math.max(0,group.zeroPosition),svgHeight)}if(group.options.shaded.orientation==\"group\"&&subPathArray!=null&&subPathArray!=undefined){dFill=\"M\"+pathArray[0][0]+\",\"+pathArray[0][1]+\" \"+this.serializePath(pathArray,type,false)+\" L\"+subPathArray[subPathArray.length-1][0]+\",\"+subPathArray[subPathArray.length-1][1]+\" \"+this.serializePath(subPathArray,type,true)+subPathArray[0][0]+\",\"+subPathArray[0][1]+\" Z\"}else{dFill=\"M\"+pathArray[0][0]+\",\"+pathArray[0][1]+\" \"+this.serializePath(pathArray,type,false)+\" V\"+zero+\" H\"+pathArray[0][0]+\" Z\"}fillPath.setAttributeNS(null,\"class\",group.className+\" vis-fill\");if(group.options.shaded.style!==undefined){fillPath.setAttributeNS(null,\"style\",group.options.shaded.style)}fillPath.setAttributeNS(null,\"d\",dFill)}};Line.draw=function(pathArray,group,framework){if(pathArray!=null&&pathArray!=undefined){var path=DOMutil.getSVGElement(\"path\",framework.svgElements,framework.svg);path.setAttributeNS(null,\"class\",group.className);if(group.style!==undefined){path.setAttributeNS(null,\"style\",group.style)}var type=\"L\";if(group.options.interpolation.enabled==true){type=\"C\"}path.setAttributeNS(null,\"d\",\"M\"+pathArray[0][0]+\",\"+pathArray[0][1]+\" \"+this.serializePath(pathArray,type,false))}};Line.serializePath=function(pathArray,type,inverse){if(pathArray.length<2){return\"\"}var d=type;var i;if(inverse){for(i=pathArray.length-2;i>0;i--){d+=pathArray[i][0]+\",\"+pathArray[i][1]+\" \"}}else{for(i=1;i<pathArray.length;i++){d+=pathArray[i][0]+\",\"+pathArray[i][1]+\" \"}}return d};Line._catmullRomUniform=function(data){var p0,p1,p2,p3,bp1,bp2;var d=[];d.push([Math.round(data[0].screen_x),Math.round(data[0].screen_y)]);var normalization=1/6;var length=data.length;for(var i=0;i<length-1;i++){p0=i==0?data[0]:data[i-1];p1=data[i];p2=data[i+1];p3=i+2<length?data[i+2]:p2;bp1={screen_x:(-p0.screen_x+6*p1.screen_x+p2.screen_x)*normalization,screen_y:(-p0.screen_y+6*p1.screen_y+p2.screen_y)*normalization};bp2={screen_x:(p1.screen_x+6*p2.screen_x-p3.screen_x)*normalization,screen_y:(p1.screen_y+6*p2.screen_y-p3.screen_y)*normalization};d.push([bp1.screen_x,bp1.screen_y]);d.push([bp2.screen_x,bp2.screen_y]);d.push([p2.screen_x,p2.screen_y])}return d};Line._catmullRom=function(data,group){var alpha=group.options.interpolation.alpha;if(alpha==0||alpha===undefined){return this._catmullRomUniform(data)}else{var p0,p1,p2,p3,bp1,bp2,d1,d2,d3,A,B,N,M;var d3powA,d2powA,d3pow2A,d2pow2A,d1pow2A,d1powA;var d=[];d.push([Math.round(data[0].screen_x),Math.round(data[0].screen_y)]);var length=data.length;for(var i=0;i<length-1;i++){p0=i==0?data[0]:data[i-1];p1=data[i];p2=data[i+1];p3=i+2<length?data[i+2]:p2;d1=Math.sqrt(Math.pow(p0.screen_x-p1.screen_x,2)+Math.pow(p0.screen_y-p1.screen_y,2));d2=Math.sqrt(Math.pow(p1.screen_x-p2.screen_x,2)+Math.pow(p1.screen_y-p2.screen_y,2));d3=Math.sqrt(Math.pow(p2.screen_x-p3.screen_x,2)+Math.pow(p2.screen_y-p3.screen_y,2));d3powA=Math.pow(d3,alpha);d3pow2A=Math.pow(d3,2*alpha);d2powA=Math.pow(d2,alpha);d2pow2A=Math.pow(d2,2*alpha);d1powA=Math.pow(d1,alpha);d1pow2A=Math.pow(d1,2*alpha);A=2*d1pow2A+3*d1powA*d2powA+d2pow2A;B=2*d3pow2A+3*d3powA*d2powA+d2pow2A;N=3*d1powA*(d1powA+d2powA);if(N>0){N=1/N}M=3*d3powA*(d3powA+d2powA);if(M>0){M=1/M}bp1={screen_x:(-d2pow2A*p0.screen_x+A*p1.screen_x+d1pow2A*p2.screen_x)*N,screen_y:(-d2pow2A*p0.screen_y+A*p1.screen_y+d1pow2A*p2.screen_y)*N};bp2={screen_x:(d3pow2A*p1.screen_x+B*p2.screen_x-d2pow2A*p3.screen_x)*M,screen_y:(d3pow2A*p1.screen_y+B*p2.screen_y-d2pow2A*p3.screen_y)*M};if(bp1.screen_x==0&&bp1.screen_y==0){bp1=p1}if(bp2.screen_x==0&&bp2.screen_y==0){bp2=p2}d.push([bp1.screen_x,bp1.screen_y]);d.push([bp2.screen_x,bp2.screen_y]);d.push([p2.screen_x,p2.screen_y])}return d}};Line._linear=function(data){var d=[];for(var i=0;i<data.length;i++){d.push([data[i].screen_x,data[i].screen_y])}return d};module.exports=Line},function(module,exports,__webpack_require__){\"use strict\";var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var DOMutil=__webpack_require__(14);var Component=__webpack_require__(16);function Legend(body,options,side,linegraphOptions){this.body=body;this.defaultOptions={enabled:false,icons:true,iconSize:20,iconSpacing:6,left:{visible:true,position:\"top-left\"},right:{visible:true,position:\"top-right\"}};this.side=side;this.options=util.extend({},this.defaultOptions);this.linegraphOptions=linegraphOptions;this.svgElements={};this.dom={};this.groups={};this.amountOfGroups=0;this._create();this.framework={svg:this.svg,svgElements:this.svgElements,options:this.options,groups:this.groups};this.setOptions(options)}Legend.prototype=new Component;Legend.prototype.clear=function(){this.groups={};this.amountOfGroups=0};Legend.prototype.addGroup=function(label,graphOptions){if(graphOptions.options.excludeFromLegend!=true){if(!this.groups.hasOwnProperty(label)){this.groups[label]=graphOptions}this.amountOfGroups+=1}};Legend.prototype.updateGroup=function(label,graphOptions){this.groups[label]=graphOptions};Legend.prototype.removeGroup=function(label){if(this.groups.hasOwnProperty(label)){delete this.groups[label];this.amountOfGroups-=1}};Legend.prototype._create=function(){this.dom.frame=document.createElement(\"div\");this.dom.frame.className=\"vis-legend\";this.dom.frame.style.position=\"absolute\";this.dom.frame.style.top=\"10px\";this.dom.frame.style.display=\"block\";this.dom.textArea=document.createElement(\"div\");this.dom.textArea.className=\"vis-legend-text\";this.dom.textArea.style.position=\"relative\";this.dom.textArea.style.top=\"0px\";this.svg=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");this.svg.style.position=\"absolute\";this.svg.style.top=0+\"px\";this.svg.style.width=this.options.iconSize+5+\"px\";this.svg.style.height=\"100%\";this.dom.frame.appendChild(this.svg);this.dom.frame.appendChild(this.dom.textArea)};Legend.prototype.hide=function(){if(this.dom.frame.parentNode){this.dom.frame.parentNode.removeChild(this.dom.frame)}};Legend.prototype.show=function(){if(!this.dom.frame.parentNode){this.body.dom.center.appendChild(this.dom.frame)}};Legend.prototype.setOptions=function(options){var fields=[\"enabled\",\"orientation\",\"icons\",\"left\",\"right\"];util.selectiveDeepExtend(fields,this.options,options)};Legend.prototype.redraw=function(){var activeGroups=0;var groupArray=(0,_keys2[\"default\"])(this.groups);groupArray.sort(function(a,b){return a<b?-1:1});for(var i=0;i<groupArray.length;i++){var groupId=groupArray[i];if(this.groups[groupId].visible==true&&(this.linegraphOptions.visibility[groupId]===undefined||this.linegraphOptions.visibility[groupId]==true)){activeGroups++}}if(this.options[this.side].visible==false||this.amountOfGroups==0||this.options.enabled==false||activeGroups==0){this.hide()}else{this.show();if(this.options[this.side].position==\"top-left\"||this.options[this.side].position==\"bottom-left\"){this.dom.frame.style.left=\"4px\";this.dom.frame.style.textAlign=\"left\";this.dom.textArea.style.textAlign=\"left\";this.dom.textArea.style.left=this.options.iconSize+15+\"px\";this.dom.textArea.style.right=\"\";this.svg.style.left=0+\"px\";this.svg.style.right=\"\"}else{this.dom.frame.style.right=\"4px\";this.dom.frame.style.textAlign=\"right\";this.dom.textArea.style.textAlign=\"right\";this.dom.textArea.style.right=this.options.iconSize+15+\"px\";this.dom.textArea.style.left=\"\";this.svg.style.right=0+\"px\";this.svg.style.left=\"\"}if(this.options[this.side].position==\"top-left\"||this.options[this.side].position==\"top-right\"){this.dom.frame.style.top=4-Number(this.body.dom.center.style.top.replace(\"px\",\"\"))+\"px\";this.dom.frame.style.bottom=\"\"}else{var scrollableHeight=this.body.domProps.center.height-this.body.domProps.centerContainer.height;this.dom.frame.style.bottom=4+scrollableHeight+Number(this.body.dom.center.style.top.replace(\"px\",\"\"))+\"px\";this.dom.frame.style.top=\"\"}if(this.options.icons==false){this.dom.frame.style.width=this.dom.textArea.offsetWidth+10+\"px\";this.dom.textArea.style.right=\"\";this.dom.textArea.style.left=\"\";this.svg.style.width=\"0px\"}else{this.dom.frame.style.width=this.options.iconSize+15+this.dom.textArea.offsetWidth+10+\"px\";this.drawLegendIcons()}var content=\"\";for(i=0;i<groupArray.length;i++){groupId=groupArray[i];if(this.groups[groupId].visible==true&&(this.linegraphOptions.visibility[groupId]===undefined||this.linegraphOptions.visibility[groupId]==true)){content+=this.groups[groupId].content+\"<br />\"}}this.dom.textArea.innerHTML=content;this.dom.textArea.style.lineHeight=.75*this.options.iconSize+this.options.iconSpacing+\"px\"}};Legend.prototype.drawLegendIcons=function(){if(this.dom.frame.parentNode){var groupArray=(0,_keys2[\"default\"])(this.groups);groupArray.sort(function(a,b){return a<b?-1:1});DOMutil.resetElements(this.svgElements);var padding=window.getComputedStyle(this.dom.frame).paddingTop;var iconOffset=Number(padding.replace(\"px\",\"\"));var x=iconOffset;var iconWidth=this.options.iconSize;var iconHeight=.75*this.options.iconSize;var y=iconOffset+.5*iconHeight+3;this.svg.style.width=iconWidth+5+iconOffset+\"px\";for(var i=0;i<groupArray.length;i++){var groupId=groupArray[i];if(this.groups[groupId].visible==true&&(this.linegraphOptions.visibility[groupId]===undefined||this.linegraphOptions.visibility[groupId]==true)){this.groups[groupId].getLegend(iconWidth,iconHeight,this.framework,x,y);y+=iconHeight+this.options.iconSpacing}}}};module.exports=Legend},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var string=\"string\";var bool=\"boolean\";var number=\"number\";var array=\"array\";var date=\"date\";var object=\"object\";var dom=\"dom\";var moment=\"moment\";var any=\"any\";var allOptions={configure:{enabled:{boolean:bool},filter:{boolean:bool,function:\"function\"},container:{dom:dom},__type__:{object:object,boolean:bool,function:\"function\"}},yAxisOrientation:{string:[\"left\",\"right\"]},defaultGroup:{string:string},sort:{boolean:bool},sampling:{boolean:bool},stack:{boolean:bool},graphHeight:{string:string,number:number},shaded:{enabled:{boolean:bool},orientation:{string:[\"bottom\",\"top\",\"zero\",\"group\"]},groupId:{object:object},__type__:{boolean:bool,object:object}},style:{string:[\"line\",\"bar\",\"points\"]},barChart:{width:{number:number},minWidth:{number:number},sideBySide:{boolean:bool},align:{string:[\"left\",\"center\",\"right\"]},__type__:{object:object}},interpolation:{enabled:{boolean:bool},parametrization:{string:[\"centripetal\",\"chordal\",\"uniform\"]},alpha:{number:number},__type__:{object:object,boolean:bool}},drawPoints:{enabled:{boolean:bool},onRender:{function:\"function\"},size:{number:number},style:{string:[\"square\",\"circle\"]},__type__:{object:object,boolean:bool,function:\"function\"}},dataAxis:{showMinorLabels:{boolean:bool},showMajorLabels:{boolean:bool},icons:{boolean:bool},width:{string:string,number:number},visible:{boolean:bool},alignZeros:{boolean:bool},left:{range:{min:{\nnumber:number,undefined:\"undefined\"},max:{number:number,undefined:\"undefined\"},__type__:{object:object}},format:{function:\"function\"},title:{text:{string:string,number:number,undefined:\"undefined\"},style:{string:string,undefined:\"undefined\"},__type__:{object:object}},__type__:{object:object}},right:{range:{min:{number:number,undefined:\"undefined\"},max:{number:number,undefined:\"undefined\"},__type__:{object:object}},format:{function:\"function\"},title:{text:{string:string,number:number,undefined:\"undefined\"},style:{string:string,undefined:\"undefined\"},__type__:{object:object}},__type__:{object:object}},__type__:{object:object}},legend:{enabled:{boolean:bool},icons:{boolean:bool},left:{visible:{boolean:bool},position:{string:[\"top-right\",\"bottom-right\",\"top-left\",\"bottom-left\"]},__type__:{object:object}},right:{visible:{boolean:bool},position:{string:[\"top-right\",\"bottom-right\",\"top-left\",\"bottom-left\"]},__type__:{object:object}},__type__:{object:object,boolean:bool}},groups:{visibility:{any:any},__type__:{object:object}},autoResize:{boolean:bool},throttleRedraw:{number:number},clickToUse:{boolean:bool},end:{number:number,date:date,string:string,moment:moment},format:{minorLabels:{millisecond:{string:string,undefined:\"undefined\"},second:{string:string,undefined:\"undefined\"},minute:{string:string,undefined:\"undefined\"},hour:{string:string,undefined:\"undefined\"},weekday:{string:string,undefined:\"undefined\"},day:{string:string,undefined:\"undefined\"},month:{string:string,undefined:\"undefined\"},year:{string:string,undefined:\"undefined\"},__type__:{object:object}},majorLabels:{millisecond:{string:string,undefined:\"undefined\"},second:{string:string,undefined:\"undefined\"},minute:{string:string,undefined:\"undefined\"},hour:{string:string,undefined:\"undefined\"},weekday:{string:string,undefined:\"undefined\"},day:{string:string,undefined:\"undefined\"},month:{string:string,undefined:\"undefined\"},year:{string:string,undefined:\"undefined\"},__type__:{object:object}},__type__:{object:object}},moment:{function:\"function\"},height:{string:string,number:number},hiddenDates:{start:{date:date,number:number,string:string,moment:moment},end:{date:date,number:number,string:string,moment:moment},repeat:{string:string},__type__:{object:object,array:array}},locale:{string:string},locales:{__any__:{any:any},__type__:{object:object}},max:{date:date,number:number,string:string,moment:moment},maxHeight:{number:number,string:string},maxMinorChars:{number:number},min:{date:date,number:number,string:string,moment:moment},minHeight:{number:number,string:string},moveable:{boolean:bool},multiselect:{boolean:bool},orientation:{string:string},showCurrentTime:{boolean:bool},showMajorLabels:{boolean:bool},showMinorLabels:{boolean:bool},start:{date:date,number:number,string:string,moment:moment},timeAxis:{scale:{string:string,undefined:\"undefined\"},step:{number:number,undefined:\"undefined\"},__type__:{object:object}},width:{string:string,number:number},zoomable:{boolean:bool},zoomKey:{string:[\"ctrlKey\",\"altKey\",\"metaKey\",\"\"]},zoomMax:{number:number},zoomMin:{number:number},zIndex:{number:number},__type__:{object:object}};var configureOptions={global:{sort:true,sampling:true,stack:false,shaded:{enabled:false,orientation:[\"zero\",\"top\",\"bottom\",\"group\"]},style:[\"line\",\"bar\",\"points\"],barChart:{width:[50,5,100,5],minWidth:[50,5,100,5],sideBySide:false,align:[\"left\",\"center\",\"right\"]},interpolation:{enabled:true,parametrization:[\"centripetal\",\"chordal\",\"uniform\"]},drawPoints:{enabled:true,size:[6,2,30,1],style:[\"square\",\"circle\"]},dataAxis:{showMinorLabels:true,showMajorLabels:true,icons:false,width:[40,0,200,1],visible:true,alignZeros:true,left:{title:{text:\"\",style:\"\"}},right:{title:{text:\"\",style:\"\"}}},legend:{enabled:false,icons:true,left:{visible:true,position:[\"top-right\",\"bottom-right\",\"top-left\",\"bottom-left\"]},right:{visible:true,position:[\"top-right\",\"bottom-right\",\"top-left\",\"bottom-left\"]}},autoResize:true,clickToUse:false,end:\"\",format:{minorLabels:{millisecond:\"SSS\",second:\"s\",minute:\"HH:mm\",hour:\"HH:mm\",weekday:\"ddd D\",day:\"D\",month:\"MMM\",year:\"YYYY\"},majorLabels:{millisecond:\"HH:mm:ss\",second:\"D MMMM HH:mm\",minute:\"ddd D MMMM\",hour:\"ddd D MMMM\",weekday:\"MMMM YYYY\",day:\"MMMM YYYY\",month:\"YYYY\",year:\"\"}},height:\"\",locale:\"\",max:\"\",maxHeight:\"\",maxMinorChars:[7,0,20,1],min:\"\",minHeight:\"\",moveable:true,orientation:[\"both\",\"bottom\",\"top\"],showCurrentTime:false,showMajorLabels:true,showMinorLabels:true,start:\"\",width:\"100%\",zoomable:true,zoomKey:[\"ctrlKey\",\"altKey\",\"metaKey\",\"\"],zoomMax:[31536e10,10,31536e10,1],zoomMin:[10,10,31536e10,1],zIndex:0}};exports.allOptions=allOptions;exports.configureOptions=configureOptions},function(module,exports,__webpack_require__){\"use strict\";var _create=__webpack_require__(29);var _create2=_interopRequireDefault(_create);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}function parseDOT(data){dot=data;return parseGraph()}var NODE_ATTR_MAPPING={fontsize:\"font.size\",fontcolor:\"font.color\",labelfontcolor:\"font.color\",fontname:\"font.face\",color:[\"color.border\",\"color.background\"],fillcolor:\"color.background\",tooltip:\"title\",labeltooltip:\"title\"};var EDGE_ATTR_MAPPING=(0,_create2[\"default\"])(NODE_ATTR_MAPPING);EDGE_ATTR_MAPPING.color=\"color.color\";EDGE_ATTR_MAPPING.style=\"dashes\";var TOKENTYPE={NULL:0,DELIMITER:1,IDENTIFIER:2,UNKNOWN:3};var DELIMITERS={\"{\":true,\"}\":true,\"[\":true,\"]\":true,\";\":true,\"=\":true,\",\":true,\"->\":true,\"--\":true};var dot=\"\";var index=0;var c=\"\";var token=\"\";var tokenType=TOKENTYPE.NULL;function first(){index=0;c=dot.charAt(0)}function next(){index++;c=dot.charAt(index)}function nextPreview(){return dot.charAt(index+1)}var regexAlphaNumeric=/[a-zA-Z_0-9.:#]/;function isAlphaNumeric(c){return regexAlphaNumeric.test(c)}function merge(a,b){if(!a){a={}}if(b){for(var name in b){if(b.hasOwnProperty(name)){a[name]=b[name]}}}return a}function setValue(obj,path,value){var keys=path.split(\".\");var o=obj;while(keys.length){var key=keys.shift();if(keys.length){if(!o[key]){o[key]={}}o=o[key]}else{o[key]=value}}}function addNode(graph,node){var i,len;var current=null;var graphs=[graph];var root=graph;while(root.parent){graphs.push(root.parent);root=root.parent}if(root.nodes){for(i=0,len=root.nodes.length;i<len;i++){if(node.id===root.nodes[i].id){current=root.nodes[i];break}}}if(!current){current={id:node.id};if(graph.node){current.attr=merge(current.attr,graph.node)}}for(i=graphs.length-1;i>=0;i--){var g=graphs[i];if(!g.nodes){g.nodes=[]}if(g.nodes.indexOf(current)===-1){g.nodes.push(current)}}if(node.attr){current.attr=merge(current.attr,node.attr)}}function addEdge(graph,edge){if(!graph.edges){graph.edges=[]}graph.edges.push(edge);if(graph.edge){var attr=merge({},graph.edge);edge.attr=merge(attr,edge.attr)}}function createEdge(graph,from,to,type,attr){var edge={from:from,to:to,type:type};if(graph.edge){edge.attr=merge({},graph.edge)}edge.attr=merge(edge.attr||{},attr);return edge}function getToken(){tokenType=TOKENTYPE.NULL;token=\"\";while(c===\" \"||c===\"\\t\"||c===\"\\n\"||c===\"\\r\"){next()}do{var isComment=false;if(c===\"#\"){var i=index-1;while(dot.charAt(i)===\" \"||dot.charAt(i)===\"\\t\"){i--}if(dot.charAt(i)===\"\\n\"||dot.charAt(i)===\"\"){while(c!=\"\"&&c!=\"\\n\"){next()}isComment=true}}if(c===\"/\"&&nextPreview()===\"/\"){while(c!=\"\"&&c!=\"\\n\"){next()}isComment=true}if(c===\"/\"&&nextPreview()===\"*\"){while(c!=\"\"){if(c===\"*\"&&nextPreview()===\"/\"){next();next();break}else{next()}}isComment=true}while(c===\" \"||c===\"\\t\"||c===\"\\n\"||c===\"\\r\"){next()}}while(isComment);if(c===\"\"){tokenType=TOKENTYPE.DELIMITER;return}var c2=c+nextPreview();if(DELIMITERS[c2]){tokenType=TOKENTYPE.DELIMITER;token=c2;next();next();return}if(DELIMITERS[c]){tokenType=TOKENTYPE.DELIMITER;token=c;next();return}if(isAlphaNumeric(c)||c===\"-\"){token+=c;next();while(isAlphaNumeric(c)){token+=c;next()}if(token===\"false\"){token=false}else if(token===\"true\"){token=true}else if(!isNaN(Number(token))){token=Number(token)}tokenType=TOKENTYPE.IDENTIFIER;return}if(c==='\"'){next();while(c!=\"\"&&(c!='\"'||c==='\"'&&nextPreview()==='\"')){if(c==='\"'){token+=c;next()}else if(c===\"\\\\\"&&nextPreview()===\"n\"){token+=\"\\n\";next()}else{token+=c}next()}if(c!='\"'){throw newSyntaxError('End of string \" expected')}next();tokenType=TOKENTYPE.IDENTIFIER;return}tokenType=TOKENTYPE.UNKNOWN;while(c!=\"\"){token+=c;next()}throw new SyntaxError('Syntax error in part \"'+chop(token,30)+'\"')}function parseGraph(){var graph={};first();getToken();if(token===\"strict\"){graph.strict=true;getToken()}if(token===\"graph\"||token===\"digraph\"){graph.type=token;getToken()}if(tokenType===TOKENTYPE.IDENTIFIER){graph.id=token;getToken()}if(token!=\"{\"){throw newSyntaxError(\"Angle bracket { expected\")}getToken();parseStatements(graph);if(token!=\"}\"){throw newSyntaxError(\"Angle bracket } expected\")}getToken();if(token!==\"\"){throw newSyntaxError(\"End of file expected\")}getToken();delete graph.node;delete graph.edge;delete graph.graph;return graph}function parseStatements(graph){while(token!==\"\"&&token!=\"}\"){parseStatement(graph);if(token===\";\"){getToken()}}}function parseStatement(graph){var subgraph=parseSubgraph(graph);if(subgraph){parseEdge(graph,subgraph);return}var attr=parseAttributeStatement(graph);if(attr){return}if(tokenType!=TOKENTYPE.IDENTIFIER){throw newSyntaxError(\"Identifier expected\")}var id=token;getToken();if(token===\"=\"){getToken();if(tokenType!=TOKENTYPE.IDENTIFIER){throw newSyntaxError(\"Identifier expected\")}graph[id]=token;getToken()}else{parseNodeStatement(graph,id)}}function parseSubgraph(graph){var subgraph=null;if(token===\"subgraph\"){subgraph={};subgraph.type=\"subgraph\";getToken();if(tokenType===TOKENTYPE.IDENTIFIER){subgraph.id=token;getToken()}}if(token===\"{\"){getToken();if(!subgraph){subgraph={}}subgraph.parent=graph;subgraph.node=graph.node;subgraph.edge=graph.edge;subgraph.graph=graph.graph;parseStatements(subgraph);if(token!=\"}\"){throw newSyntaxError(\"Angle bracket } expected\")}getToken();delete subgraph.node;delete subgraph.edge;delete subgraph.graph;delete subgraph.parent;if(!graph.subgraphs){graph.subgraphs=[]}graph.subgraphs.push(subgraph)}return subgraph}function parseAttributeStatement(graph){if(token===\"node\"){getToken();graph.node=parseAttributeList();return\"node\"}else if(token===\"edge\"){getToken();graph.edge=parseAttributeList();return\"edge\"}else if(token===\"graph\"){getToken();graph.graph=parseAttributeList();return\"graph\"}return null}function parseNodeStatement(graph,id){var node={id:id};var attr=parseAttributeList();if(attr){node.attr=attr}addNode(graph,node);parseEdge(graph,id)}function parseEdge(graph,from){while(token===\"->\"||token===\"--\"){var to;var type=token;getToken();var subgraph=parseSubgraph(graph);if(subgraph){to=subgraph}else{if(tokenType!=TOKENTYPE.IDENTIFIER){throw newSyntaxError(\"Identifier or subgraph expected\")}to=token;addNode(graph,{id:to});getToken()}var attr=parseAttributeList();var edge=createEdge(graph,from,to,type,attr);addEdge(graph,edge);from=to}}function parseAttributeList(){var attr=null;var edgeStyles={dashed:true,solid:false,dotted:[1,5]};while(token===\"[\"){getToken();attr={};while(token!==\"\"&&token!=\"]\"){if(tokenType!=TOKENTYPE.IDENTIFIER){throw newSyntaxError(\"Attribute name expected\")}var name=token;getToken();if(token!=\"=\"){throw newSyntaxError(\"Equal sign = expected\")}getToken();if(tokenType!=TOKENTYPE.IDENTIFIER){throw newSyntaxError(\"Attribute value expected\")}var value=token;if(name===\"style\"){value=edgeStyles[value]}setValue(attr,name,value);getToken();if(token==\",\"){getToken()}}if(token!=\"]\"){throw newSyntaxError(\"Bracket ] expected\")}getToken()}return attr}function newSyntaxError(message){return new SyntaxError(message+', got \"'+chop(token,30)+'\" (char '+index+\")\")}function chop(text,maxLength){return text.length<=maxLength?text:text.substr(0,27)+\"...\"}function forEach2(array1,array2,fn){if(Array.isArray(array1)){array1.forEach(function(elem1){if(Array.isArray(array2)){array2.forEach(function(elem2){fn(elem1,elem2)})}else{fn(elem1,array2)}})}else{if(Array.isArray(array2)){array2.forEach(function(elem2){fn(array1,elem2)})}else{fn(array1,array2)}}}function setProp(object,path,value){var names=path.split(\".\");var prop=names.pop();var obj=object;for(var i=0;i<names.length;i++){var name=names[i];if(!(name in obj)){obj[name]={}}obj=obj[name]}obj[prop]=value;return object}function convertAttr(attr,mapping){var converted={};for(var prop in attr){if(attr.hasOwnProperty(prop)){var visProp=mapping[prop];if(Array.isArray(visProp)){visProp.forEach(function(visPropI){setProp(converted,visPropI,attr[prop])})}else if(typeof visProp===\"string\"){setProp(converted,visProp,attr[prop])}else{setProp(converted,prop,attr[prop])}}}return converted}function DOTToGraph(data){var dotData=parseDOT(data);var graphData={nodes:[],edges:[],options:{}};if(dotData.nodes){dotData.nodes.forEach(function(dotNode){var graphNode={id:dotNode.id,label:String(dotNode.label||dotNode.id)};merge(graphNode,convertAttr(dotNode.attr,NODE_ATTR_MAPPING));if(graphNode.image){graphNode.shape=\"image\"}graphData.nodes.push(graphNode)})}if(dotData.edges){var convertEdge=function convertEdge(dotEdge){var graphEdge={from:dotEdge.from,to:dotEdge.to};merge(graphEdge,convertAttr(dotEdge.attr,EDGE_ATTR_MAPPING));graphEdge.arrows=dotEdge.type===\"->\"?\"to\":undefined;return graphEdge};dotData.edges.forEach(function(dotEdge){var from,to;if(dotEdge.from instanceof Object){from=dotEdge.from.nodes}else{from={id:dotEdge.from}}if(dotEdge.to instanceof Object){to=dotEdge.to.nodes}else{to={id:dotEdge.to}}if(dotEdge.from instanceof Object&&dotEdge.from.edges){dotEdge.from.edges.forEach(function(subEdge){var graphEdge=convertEdge(subEdge);graphData.edges.push(graphEdge)})}forEach2(from,to,function(from,to){var subEdge=createEdge(graphData,from.id,to.id,dotEdge.type,dotEdge.attr);var graphEdge=convertEdge(subEdge);graphData.edges.push(graphEdge)});if(dotEdge.to instanceof Object&&dotEdge.to.edges){dotEdge.to.edges.forEach(function(subEdge){var graphEdge=convertEdge(subEdge);graphData.edges.push(graphEdge)})}})}if(dotData.attr){graphData.options=dotData.attr}return graphData}exports.parseDOT=parseDOT;exports.DOTToGraph=DOTToGraph},function(module,exports,__webpack_require__){\"use strict\";function parseGephi(gephiJSON,optionsObj){var edges=[];var nodes=[];var options={edges:{inheritColor:false},nodes:{fixed:false,parseColor:false}};if(optionsObj!==undefined){if(optionsObj.fixed!==undefined){options.nodes.fixed=optionsObj.fixed}if(optionsObj.parseColor!==undefined){options.nodes.parseColor=optionsObj.parseColor}if(optionsObj.inheritColor!==undefined){options.edges.inheritColor=optionsObj.inheritColor}}var gEdges=gephiJSON.edges;var gNodes=gephiJSON.nodes;for(var i=0;i<gEdges.length;i++){var edge={};var gEdge=gEdges[i];edge[\"id\"]=gEdge.id;edge[\"from\"]=gEdge.source;edge[\"to\"]=gEdge.target;edge[\"attributes\"]=gEdge.attributes;edge[\"label\"]=gEdge.label;edge[\"title\"]=gEdge.attributes!==undefined?gEdge.attributes.title:undefined;if(gEdge[\"type\"]===\"Directed\"){edge[\"arrows\"]=\"to\"}if(gEdge.color&&options.inheritColor===false){edge[\"color\"]=gEdge.color}edges.push(edge)}for(var j=0;j<gNodes.length;j++){var node={};var gNode=gNodes[j];node[\"id\"]=gNode.id;node[\"attributes\"]=gNode.attributes;node[\"x\"]=gNode.x;node[\"y\"]=gNode.y;node[\"label\"]=gNode.label;node[\"title\"]=gNode.attributes!==undefined?gNode.attributes.title:gNode.title;if(options.nodes.parseColor===true){node[\"color\"]=gNode.color}else{node[\"color\"]=gNode.color!==undefined?{background:gNode.color,border:gNode.color,highlight:{background:gNode.color,border:gNode.color},hover:{background:gNode.color,border:gNode.color}}:undefined}node[\"size\"]=gNode.size;node[\"fixed\"]=options.nodes.fixed&&gNode.x!==undefined&&gNode.y!==undefined;nodes.push(node)}return{nodes:nodes,edges:edges}}exports.parseGephi=parseGephi},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _CachedImage=__webpack_require__(185);var _CachedImage2=_interopRequireDefault(_CachedImage);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Images=function(){function Images(callback){(0,_classCallCheck3[\"default\"])(this,Images);this.images={};this.imageBroken={};this.callback=callback}(0,_createClass3[\"default\"])(Images,[{key:\"_tryloadBrokenUrl\",value:function _tryloadBrokenUrl(url,brokenUrl,imageToLoadBrokenUrlOn){if(url===undefined||imageToLoadBrokenUrlOn===undefined)return;if(brokenUrl===undefined){console.warn(\"No broken url image defined\");return}imageToLoadBrokenUrlOn.onerror=function(){console.error(\"Could not load brokenImage:\",brokenUrl)};imageToLoadBrokenUrlOn.image.src=brokenUrl}},{key:\"_redrawWithImage\",value:function _redrawWithImage(imageToRedrawWith){if(this.callback){this.callback(imageToRedrawWith)}}},{key:\"load\",value:function load(url,brokenUrl){var _this=this;var cachedImage=this.images[url];if(cachedImage)return cachedImage;var img=new _CachedImage2[\"default\"];this.images[url]=img;img.image.onload=function(){_this._fixImageCoordinates(img.image);img.init();_this._redrawWithImage(img)};img.image.onerror=function(){console.error(\"Could not load image:\",url);_this._tryloadBrokenUrl(url,brokenUrl,img)};img.image.src=url;return img}},{key:\"_fixImageCoordinates\",value:function _fixImageCoordinates(imageToCache){if(imageToCache.width===0){document.body.appendChild(imageToCache);imageToCache.width=imageToCache.offsetWidth;imageToCache.height=imageToCache.offsetHeight;document.body.removeChild(imageToCache)}}}]);return Images}();exports[\"default\"]=Images},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _slicedToArray2=__webpack_require__(30);var _slicedToArray3=_interopRequireDefault(_slicedToArray2);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var ComponentUtil=__webpack_require__(48)[\"default\"];var LabelSplitter=__webpack_require__(191)[\"default\"];var multiFontStyle=[\"bold\",\"ital\",\"boldital\",\"mono\"];var Label=function(){function Label(body,options){var edgelabel=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;(0,_classCallCheck3[\"default\"])(this,Label);this.body=body;this.pointToSelf=false;this.baseSize=undefined;this.fontOptions={};this.setOptions(options);this.size={top:0,left:0,width:0,height:0,yLine:0};this.isEdgeLabel=edgelabel}(0,_createClass3[\"default\"])(Label,[{key:\"setOptions\",value:function setOptions(options){this.elementOptions=options;this.initFontOptions(options.font);if(ComponentUtil.isValidLabel(options.label)){this.labelDirty=true}else{options.label=\"\"}if(options.font!==undefined&&options.font!==null){if(typeof options.font===\"string\"){this.baseSize=this.fontOptions.size}else if((0,_typeof3[\"default\"])(options.font)===\"object\"){var size=options.font.size;if(size!==undefined){this.baseSize=size}}}}},{key:\"initFontOptions\",value:function initFontOptions(newFontOptions){var _this=this;util.forEach(multiFontStyle,function(style){_this.fontOptions[style]={}});if(Label.parseFontString(this.fontOptions,newFontOptions)){this.fontOptions.vadjust=0;return}util.forEach(newFontOptions,function(prop,n){if(prop!==undefined&&prop!==null&&(typeof prop===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(prop))!==\"object\"){_this.fontOptions[n]=prop}})}},{key:\"constrain\",value:function constrain(pile){var fontOptions={constrainWidth:false,maxWdt:-1,minWdt:-1,constrainHeight:false,minHgt:-1,valign:\"middle\"};var widthConstraint=util.topMost(pile,\"widthConstraint\");if(typeof widthConstraint===\"number\"){fontOptions.maxWdt=Number(widthConstraint);fontOptions.minWdt=Number(widthConstraint)}else if((typeof widthConstraint===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(widthConstraint))===\"object\"){var widthConstraintMaximum=util.topMost(pile,[\"widthConstraint\",\"maximum\"]);if(typeof widthConstraintMaximum===\"number\"){fontOptions.maxWdt=Number(widthConstraintMaximum)}var widthConstraintMinimum=util.topMost(pile,[\"widthConstraint\",\"minimum\"]);if(typeof widthConstraintMinimum===\"number\"){fontOptions.minWdt=Number(widthConstraintMinimum)}}var heightConstraint=util.topMost(pile,\"heightConstraint\");if(typeof heightConstraint===\"number\"){fontOptions.minHgt=Number(heightConstraint)}else if((typeof heightConstraint===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(heightConstraint))===\"object\"){var heightConstraintMinimum=util.topMost(pile,[\"heightConstraint\",\"minimum\"]);if(typeof heightConstraintMinimum===\"number\"){fontOptions.minHgt=Number(heightConstraintMinimum)}var heightConstraintValign=util.topMost(pile,[\"heightConstraint\",\"valign\"]);if(typeof heightConstraintValign===\"string\"){if(heightConstraintValign===\"top\"||heightConstraintValign===\"bottom\"){fontOptions.valign=heightConstraintValign}}}return fontOptions}},{key:\"update\",value:function update(options,pile){this.setOptions(options,true);this.propagateFonts(pile);util.deepExtend(this.fontOptions,this.constrain(pile));this.fontOptions.chooser=ComponentUtil.choosify(\"label\",pile)}},{key:\"adjustSizes\",value:function adjustSizes(margins){var widthBias=margins?margins.right+margins.left:0;if(this.fontOptions.constrainWidth){this.fontOptions.maxWdt-=widthBias;this.fontOptions.minWdt-=widthBias}var heightBias=margins?margins.top+margins.bottom:0;if(this.fontOptions.constrainHeight){this.fontOptions.minHgt-=heightBias}}},{key:\"addFontOptionsToPile\",value:function addFontOptionsToPile(dstPile,srcPile){for(var i=0;i<srcPile.length;++i){this.addFontToPile(dstPile,srcPile[i])}}},{key:\"addFontToPile\",value:function addFontToPile(pile,options){if(options===undefined)return;if(options.font===undefined||options.font===null)return;var item=options.font;pile.push(item)}},{key:\"getBasicOptions\",value:function getBasicOptions(pile){var ret={};for(var n=0;n<pile.length;++n){var fontOptions=pile[n];var tmpShorthand={};if(Label.parseFontString(tmpShorthand,fontOptions)){fontOptions=tmpShorthand}util.forEach(fontOptions,function(opt,name){if(opt===undefined)return;if(ret.hasOwnProperty(name))return;if(multiFontStyle.indexOf(name)!==-1){ret[name]={}}else{ret[name]=opt}})}return ret}},{key:\"getFontOption\",value:function getFontOption(pile,multiName,option){var multiFont=void 0;for(var n=0;n<pile.length;++n){var fontOptions=pile[n];if(fontOptions.hasOwnProperty(multiName)){multiFont=fontOptions[multiName];if(multiFont===undefined||multiFont===null)continue;var tmpShorthand={};if(Label.parseFontString(tmpShorthand,multiFont)){multiFont=tmpShorthand}if(multiFont.hasOwnProperty(option)){return multiFont[option]}}}if(this.fontOptions.hasOwnProperty(option)){return this.fontOptions[option]}throw new Error(\"Did not find value for multi-font for property: '\"+option+\"'\")}},{key:\"getFontOptions\",value:function getFontOptions(pile,multiName){var result={};var optionNames=[\"color\",\"size\",\"face\",\"mod\",\"vadjust\"];for(var i=0;i<optionNames.length;++i){var mod=optionNames[i];result[mod]=this.getFontOption(pile,multiName,mod)}return result}},{key:\"propagateFonts\",value:function propagateFonts(pile){var _this2=this;var fontPile=[];this.addFontOptionsToPile(fontPile,pile);this.fontOptions=this.getBasicOptions(fontPile);var _loop=function _loop(i){var mod=multiFontStyle[i];var modOptions=_this2.fontOptions[mod];var tmpMultiFontOptions=_this2.getFontOptions(fontPile,mod);util.forEach(tmpMultiFontOptions,function(option,n){modOptions[n]=option});modOptions.size=Number(modOptions.size);modOptions.vadjust=Number(modOptions.vadjust)};for(var i=0;i<multiFontStyle.length;++i){_loop(i)}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover){var baseline=arguments.length>5&&arguments[5]!==undefined?arguments[5]:\"middle\";if(this.elementOptions.label===undefined)return;var viewFontSize=this.fontOptions.size*this.body.view.scale;if(this.elementOptions.label&&viewFontSize<this.elementOptions.scaling.label.drawThreshold-1)return;if(viewFontSize>=this.elementOptions.scaling.label.maxVisible){viewFontSize=Number(this.elementOptions.scaling.label.maxVisible)/this.body.view.scale}this.calculateLabelSize(ctx,selected,hover,x,y,baseline);this._drawBackground(ctx);this._drawText(ctx,x,this.size.yLine,baseline,viewFontSize)}},{key:\"_drawBackground\",value:function _drawBackground(ctx){if(this.fontOptions.background!==undefined&&this.fontOptions.background!==\"none\"){ctx.fillStyle=this.fontOptions.background;var size=this.getSize();ctx.fillRect(size.left,size.top,size.width,size.height)}}},{key:\"_drawText\",value:function _drawText(ctx,x,y){var baseline=arguments.length>3&&arguments[3]!==undefined?arguments[3]:\"middle\";var viewFontSize=arguments[4];var _setAlignment2=this._setAlignment(ctx,x,y,baseline);var _setAlignment3=(0,_slicedToArray3[\"default\"])(_setAlignment2,2);x=_setAlignment3[0];y=_setAlignment3[1];ctx.textAlign=\"left\";x=x-this.size.width/2;if(this.fontOptions.valign&&this.size.height>this.size.labelHeight){if(this.fontOptions.valign===\"top\"){y-=(this.size.height-this.size.labelHeight)/2}if(this.fontOptions.valign===\"bottom\"){y+=(this.size.height-this.size.labelHeight)/2}}for(var i=0;i<this.lineCount;i++){var line=this.lines[i];if(line&&line.blocks){var width=0;if(this.isEdgeLabel||this.fontOptions.align===\"center\"){width+=(this.size.width-line.width)/2}else if(this.fontOptions.align===\"right\"){width+=this.size.width-line.width}for(var j=0;j<line.blocks.length;j++){var block=line.blocks[j];ctx.font=block.font;var _getColor2=this._getColor(block.color,viewFontSize,block.strokeColor),_getColor3=(0,_slicedToArray3[\"default\"])(_getColor2,2),fontColor=_getColor3[0],strokeColor=_getColor3[1];if(block.strokeWidth>0){ctx.lineWidth=block.strokeWidth;ctx.strokeStyle=strokeColor;ctx.lineJoin=\"round\"}ctx.fillStyle=fontColor;if(block.strokeWidth>0){ctx.strokeText(block.text,x+width,y+block.vadjust)}ctx.fillText(block.text,x+width,y+block.vadjust);width+=block.width}y+=line.height}}}},{key:\"_setAlignment\",value:function _setAlignment(ctx,x,y,baseline){if(this.isEdgeLabel&&this.fontOptions.align!==\"horizontal\"&&this.pointToSelf===false){x=0;y=0;var lineMargin=2;if(this.fontOptions.align===\"top\"){ctx.textBaseline=\"alphabetic\";y-=2*lineMargin}else if(this.fontOptions.align===\"bottom\"){ctx.textBaseline=\"hanging\";y+=2*lineMargin}else{ctx.textBaseline=\"middle\"}}else{ctx.textBaseline=baseline}return[x,y]}},{key:\"_getColor\",value:function _getColor(color,viewFontSize,initialStrokeColor){var fontColor=color||\"#000000\";var strokeColor=initialStrokeColor||\"#ffffff\";if(viewFontSize<=this.elementOptions.scaling.label.drawThreshold){var opacity=Math.max(0,Math.min(1,1-(this.elementOptions.scaling.label.drawThreshold-viewFontSize)));fontColor=util.overrideOpacity(fontColor,opacity);strokeColor=util.overrideOpacity(strokeColor,opacity)}return[fontColor,strokeColor]}},{key:\"getTextSize\",value:function getTextSize(ctx){var selected=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var hover=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;this._processLabel(ctx,selected,hover);return{width:this.size.width,height:this.size.height,lineCount:this.lineCount}}},{key:\"getSize\",value:function getSize(){var lineMargin=2;var x=this.size.left;var y=this.size.top-.5*lineMargin;if(this.isEdgeLabel){var x2=-this.size.width*.5;switch(this.fontOptions.align){case\"middle\":x=x2;y=-this.size.height*.5;break;case\"top\":x=x2;y=-(this.size.height+lineMargin);break;case\"bottom\":x=x2;y=lineMargin;break}}var ret={left:x,top:y,width:this.size.width,height:this.size.height};return ret}},{key:\"calculateLabelSize\",value:function calculateLabelSize(ctx,selected,hover){var x=arguments.length>3&&arguments[3]!==undefined?arguments[3]:0;var y=arguments.length>4&&arguments[4]!==undefined?arguments[4]:0;var baseline=arguments.length>5&&arguments[5]!==undefined?arguments[5]:\"middle\";this._processLabel(ctx,selected,hover);this.size.left=x-this.size.width*.5;this.size.top=y-this.size.height*.5;this.size.yLine=y+(1-this.lineCount)*.5*this.fontOptions.size;if(baseline===\"hanging\"){this.size.top+=.5*this.fontOptions.size;this.size.top+=4;this.size.yLine+=4}}},{key:\"getFormattingValues\",value:function getFormattingValues(ctx,selected,hover,mod){var getValue=function getValue(fontOptions,mod,option){if(mod===\"normal\"){if(option===\"mod\")return\"\";return fontOptions[option]}if(fontOptions[mod][option]!==undefined){return fontOptions[mod][option]}else{return fontOptions[option]}};var values={color:getValue(this.fontOptions,mod,\"color\"),size:getValue(this.fontOptions,mod,\"size\"),face:getValue(this.fontOptions,mod,\"face\"),mod:getValue(this.fontOptions,mod,\"mod\"),vadjust:getValue(this.fontOptions,mod,\"vadjust\"),strokeWidth:this.fontOptions.strokeWidth,strokeColor:this.fontOptions.strokeColor};if(selected||hover){if(mod===\"normal\"&&this.fontOptions.chooser===true&&this.elementOptions.labelHighlightBold){values.mod=\"bold\"}else{if(typeof this.fontOptions.chooser===\"function\"){this.fontOptions.chooser(values,this.elementOptions.id,selected,hover)}}}var fontString=\"\";if(values.mod!==undefined&&values.mod!==\"\"){fontString+=values.mod+\" \"}fontString+=values.size+\"px \"+values.face;ctx.font=fontString.replace(/\"/g,\"\");values.font=ctx.font;values.height=values.size;return values}},{key:\"differentState\",value:function differentState(selected,hover){return selected!==this.selectedState||hover!==this.hoverState}},{key:\"_processLabelText\",value:function _processLabelText(ctx,selected,hover,inText){var splitter=new LabelSplitter(ctx,this,selected,hover);return splitter.process(inText)}},{key:\"_processLabel\",value:function _processLabel(ctx,selected,hover){if(this.labelDirty===false&&!this.differentState(selected,hover))return;var state=this._processLabelText(ctx,selected,hover,this.elementOptions.label);if(this.fontOptions.minWdt>0&&state.width<this.fontOptions.minWdt){state.width=this.fontOptions.minWdt}this.size.labelHeight=state.height;if(this.fontOptions.minHgt>0&&state.height<this.fontOptions.minHgt){state.height=this.fontOptions.minHgt}this.lines=state.lines;this.lineCount=state.lines.length;this.size.width=state.width;this.size.height=state.height;this.selectedState=selected;this.hoverState=hover;this.labelDirty=false}},{key:\"visible\",value:function visible(){if(this.size.width===0||this.size.height===0||this.elementOptions.label===undefined){return false}var viewFontSize=this.fontOptions.size*this.body.view.scale;if(viewFontSize<this.elementOptions.scaling.label.drawThreshold-1){return false}return true}}],[{key:\"parseFontString\",value:function parseFontString(outOptions,inOptions){if(!inOptions||typeof inOptions!==\"string\")return false;var newOptionsArray=inOptions.split(\" \");outOptions.size=newOptionsArray[0].replace(\"px\",\"\");outOptions.face=newOptionsArray[1];outOptions.color=newOptionsArray[2];return true}}]);return Label}();exports[\"default\"]=Label},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _slicedToArray2=__webpack_require__(30);var _slicedToArray3=_interopRequireDefault(_slicedToArray2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var EndPoints=__webpack_require__(119)[\"default\"];var EdgeBase=function(){function EdgeBase(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,EdgeBase);this.body=body;this.labelModule=labelModule\n;this.options={};this.setOptions(options);this.colorDirty=true;this.color={};this.selectionWidth=2;this.hoverWidth=1.5;this.fromPoint=this.from;this.toPoint=this.to}(0,_createClass3[\"default\"])(EdgeBase,[{key:\"connect\",value:function connect(){this.from=this.body.nodes[this.options.from];this.to=this.body.nodes[this.options.to]}},{key:\"cleanup\",value:function cleanup(){return false}},{key:\"setOptions\",value:function setOptions(options){this.options=options;this.from=this.body.nodes[this.options.from];this.to=this.body.nodes[this.options.to];this.id=this.options.id}},{key:\"drawLine\",value:function drawLine(ctx,values,selected,hover,viaNode){ctx.strokeStyle=this.getColor(ctx,values,selected,hover);ctx.lineWidth=values.width;if(values.dashes!==false){this._drawDashedLine(ctx,values,viaNode)}else{this._drawLine(ctx,values,viaNode)}}},{key:\"_drawLine\",value:function _drawLine(ctx,values,viaNode,fromPoint,toPoint){if(this.from!=this.to){this._line(ctx,values,viaNode,fromPoint,toPoint)}else{var _getCircleData2=this._getCircleData(ctx),_getCircleData3=(0,_slicedToArray3[\"default\"])(_getCircleData2,3),x=_getCircleData3[0],y=_getCircleData3[1],radius=_getCircleData3[2];this._circle(ctx,values,x,y,radius)}}},{key:\"_drawDashedLine\",value:function _drawDashedLine(ctx,values,viaNode,fromPoint,toPoint){ctx.lineCap=\"round\";var pattern=[5,5];if(Array.isArray(values.dashes)===true){pattern=values.dashes}if(ctx.setLineDash!==undefined){ctx.save();ctx.setLineDash(pattern);ctx.lineDashOffset=0;if(this.from!=this.to){this._line(ctx,values,viaNode)}else{var _getCircleData4=this._getCircleData(ctx),_getCircleData5=(0,_slicedToArray3[\"default\"])(_getCircleData4,3),x=_getCircleData5[0],y=_getCircleData5[1],radius=_getCircleData5[2];this._circle(ctx,values,x,y,radius)}ctx.setLineDash([0]);ctx.lineDashOffset=0;ctx.restore()}else{if(this.from!=this.to){ctx.dashedLine(this.from.x,this.from.y,this.to.x,this.to.y,pattern)}else{var _getCircleData6=this._getCircleData(ctx),_getCircleData7=(0,_slicedToArray3[\"default\"])(_getCircleData6,3),_x=_getCircleData7[0],_y=_getCircleData7[1],_radius=_getCircleData7[2];this._circle(ctx,values,_x,_y,_radius)}this.enableShadow(ctx,values);ctx.stroke();this.disableShadow(ctx,values)}}},{key:\"findBorderPosition\",value:function findBorderPosition(nearNode,ctx,options){if(this.from!=this.to){return this._findBorderPosition(nearNode,ctx,options)}else{return this._findBorderPositionCircle(nearNode,ctx,options)}}},{key:\"findBorderPositions\",value:function findBorderPositions(ctx){var from={};var to={};if(this.from!=this.to){from=this._findBorderPosition(this.from,ctx);to=this._findBorderPosition(this.to,ctx)}else{var _getCircleData$slice=this._getCircleData(ctx).slice(0,2),_getCircleData$slice2=(0,_slicedToArray3[\"default\"])(_getCircleData$slice,2),x=_getCircleData$slice2[0],y=_getCircleData$slice2[1];from=this._findBorderPositionCircle(this.from,ctx,{x:x,y:y,low:.25,high:.6,direction:-1});to=this._findBorderPositionCircle(this.from,ctx,{x:x,y:y,low:.6,high:.8,direction:1})}return{from:from,to:to}}},{key:\"_getCircleData\",value:function _getCircleData(ctx){var x=void 0,y=void 0;var node=this.from;var radius=this.options.selfReferenceSize;if(ctx!==undefined){if(node.shape.width===undefined){node.shape.resize(ctx)}}if(node.shape.width>node.shape.height){x=node.x+node.shape.width*.5;y=node.y-radius}else{x=node.x+radius;y=node.y-node.shape.height*.5}return[x,y,radius]}},{key:\"_pointOnCircle\",value:function _pointOnCircle(x,y,radius,percentage){var angle=percentage*2*Math.PI;return{x:x+radius*Math.cos(angle),y:y-radius*Math.sin(angle)}}},{key:\"_findBorderPositionCircle\",value:function _findBorderPositionCircle(node,ctx,options){var x=options.x;var y=options.y;var low=options.low;var high=options.high;var direction=options.direction;var maxIterations=10;var iteration=0;var radius=this.options.selfReferenceSize;var pos=void 0,angle=void 0,distanceToBorder=void 0,distanceToPoint=void 0,difference=void 0;var threshold=.05;var middle=(low+high)*.5;while(low<=high&&iteration<maxIterations){middle=(low+high)*.5;pos=this._pointOnCircle(x,y,radius,middle);angle=Math.atan2(node.y-pos.y,node.x-pos.x);distanceToBorder=node.distanceToBorder(ctx,angle);distanceToPoint=Math.sqrt(Math.pow(pos.x-node.x,2)+Math.pow(pos.y-node.y,2));difference=distanceToBorder-distanceToPoint;if(Math.abs(difference)<threshold){break}else if(difference>0){if(direction>0){low=middle}else{high=middle}}else{if(direction>0){high=middle}else{low=middle}}iteration++}pos.t=middle;return pos}},{key:\"getLineWidth\",value:function getLineWidth(selected,hover){if(selected===true){return Math.max(this.selectionWidth,.3/this.body.view.scale)}else{if(hover===true){return Math.max(this.hoverWidth,.3/this.body.view.scale)}else{return Math.max(this.options.width,.3/this.body.view.scale)}}}},{key:\"getColor\",value:function getColor(ctx,values,selected,hover){if(values.inheritsColor!==false){if(values.inheritsColor===\"both\"&&this.from.id!==this.to.id){var grd=ctx.createLinearGradient(this.from.x,this.from.y,this.to.x,this.to.y);var fromColor=void 0,toColor=void 0;fromColor=this.from.options.color.highlight.border;toColor=this.to.options.color.highlight.border;if(this.from.selected===false&&this.to.selected===false){fromColor=util.overrideOpacity(this.from.options.color.border,values.opacity);toColor=util.overrideOpacity(this.to.options.color.border,values.opacity)}else if(this.from.selected===true&&this.to.selected===false){toColor=this.to.options.color.border}else if(this.from.selected===false&&this.to.selected===true){fromColor=this.from.options.color.border}grd.addColorStop(0,fromColor);grd.addColorStop(1,toColor);return grd}if(values.inheritsColor===\"to\"){return util.overrideOpacity(this.to.options.color.border,values.opacity)}else{return util.overrideOpacity(this.from.options.color.border,values.opacity)}}else{return util.overrideOpacity(values.color,values.opacity)}}},{key:\"_circle\",value:function _circle(ctx,values,x,y,radius){this.enableShadow(ctx,values);ctx.beginPath();ctx.arc(x,y,radius,0,2*Math.PI,false);ctx.stroke();this.disableShadow(ctx,values)}},{key:\"getDistanceToEdge\",value:function getDistanceToEdge(x1,y1,x2,y2,x3,y3,via,values){var returnValue=0;if(this.from!=this.to){returnValue=this._getDistanceToEdge(x1,y1,x2,y2,x3,y3,via)}else{var _getCircleData8=this._getCircleData(undefined),_getCircleData9=(0,_slicedToArray3[\"default\"])(_getCircleData8,3),x=_getCircleData9[0],y=_getCircleData9[1],radius=_getCircleData9[2];var dx=x-x3;var dy=y-y3;returnValue=Math.abs(Math.sqrt(dx*dx+dy*dy)-radius)}return returnValue}},{key:\"_getDistanceToLine\",value:function _getDistanceToLine(x1,y1,x2,y2,x3,y3){var px=x2-x1;var py=y2-y1;var something=px*px+py*py;var u=((x3-x1)*px+(y3-y1)*py)/something;if(u>1){u=1}else if(u<0){u=0}var x=x1+u*px;var y=y1+u*py;var dx=x-x3;var dy=y-y3;return Math.sqrt(dx*dx+dy*dy)}},{key:\"getArrowData\",value:function getArrowData(ctx,position,viaNode,selected,hover,values){var angle=void 0;var arrowPoint=void 0;var node1=void 0;var node2=void 0;var guideOffset=void 0;var scaleFactor=void 0;var type=void 0;var lineWidth=values.width;if(position===\"from\"){node1=this.from;node2=this.to;guideOffset=.1;scaleFactor=values.fromArrowScale;type=values.fromArrowType}else if(position===\"to\"){node1=this.to;node2=this.from;guideOffset=-.1;scaleFactor=values.toArrowScale;type=values.toArrowType}else{node1=this.to;node2=this.from;scaleFactor=values.middleArrowScale;type=values.middleArrowType}if(node1!=node2){if(position!==\"middle\"){if(this.options.smooth.enabled===true){arrowPoint=this.findBorderPosition(node1,ctx,{via:viaNode});var guidePos=this.getPoint(Math.max(0,Math.min(1,arrowPoint.t+guideOffset)),viaNode);angle=Math.atan2(arrowPoint.y-guidePos.y,arrowPoint.x-guidePos.x)}else{angle=Math.atan2(node1.y-node2.y,node1.x-node2.x);arrowPoint=this.findBorderPosition(node1,ctx)}}else{angle=Math.atan2(node1.y-node2.y,node1.x-node2.x);arrowPoint=this.getPoint(.5,viaNode)}}else{var _getCircleData10=this._getCircleData(ctx),_getCircleData11=(0,_slicedToArray3[\"default\"])(_getCircleData10,3),x=_getCircleData11[0],y=_getCircleData11[1],radius=_getCircleData11[2];if(position===\"from\"){arrowPoint=this.findBorderPosition(this.from,ctx,{x:x,y:y,low:.25,high:.6,direction:-1});angle=arrowPoint.t*-2*Math.PI+1.5*Math.PI+.1*Math.PI}else if(position===\"to\"){arrowPoint=this.findBorderPosition(this.from,ctx,{x:x,y:y,low:.6,high:1,direction:1});angle=arrowPoint.t*-2*Math.PI+1.5*Math.PI-1.1*Math.PI}else{arrowPoint=this._pointOnCircle(x,y,radius,.175);angle=3.9269908169872414}}if(position===\"middle\"&&scaleFactor<0)lineWidth*=-1;var length=15*scaleFactor+3*lineWidth;var xi=arrowPoint.x-length*.9*Math.cos(angle);var yi=arrowPoint.y-length*.9*Math.sin(angle);var arrowCore={x:xi,y:yi};return{point:arrowPoint,core:arrowCore,angle:angle,length:length,type:type}}},{key:\"drawArrowHead\",value:function drawArrowHead(ctx,values,selected,hover,arrowData){ctx.strokeStyle=this.getColor(ctx,values,selected,hover);ctx.fillStyle=ctx.strokeStyle;ctx.lineWidth=values.width;EndPoints.draw(ctx,arrowData);this.enableShadow(ctx,values);ctx.fill();this.disableShadow(ctx,values)}},{key:\"enableShadow\",value:function enableShadow(ctx,values){if(values.shadow===true){ctx.shadowColor=values.shadowColor;ctx.shadowBlur=values.shadowSize;ctx.shadowOffsetX=values.shadowX;ctx.shadowOffsetY=values.shadowY}}},{key:\"disableShadow\",value:function disableShadow(ctx,values){if(values.shadow===true){ctx.shadowColor=\"rgba(0,0,0,0)\";ctx.shadowBlur=0;ctx.shadowOffsetX=0;ctx.shadowOffsetY=0}}}]);return EdgeBase}();exports[\"default\"]=EdgeBase},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var EndPoint=function(){function EndPoint(){(0,_classCallCheck3[\"default\"])(this,EndPoint)}(0,_createClass3[\"default\"])(EndPoint,null,[{key:\"transform\",value:function transform(points,arrowData){if(!(points instanceof Array)){points=[points]}var x=arrowData.point.x;var y=arrowData.point.y;var angle=arrowData.angle;var length=arrowData.length;for(var i=0;i<points.length;++i){var p=points[i];var xt=p.x*Math.cos(angle)-p.y*Math.sin(angle);var yt=p.x*Math.sin(angle)+p.y*Math.cos(angle);p.x=x+length*xt;p.y=y+length*yt}}},{key:\"drawPath\",value:function drawPath(ctx,points){ctx.beginPath();ctx.moveTo(points[0].x,points[0].y);for(var i=1;i<points.length;++i){ctx.lineTo(points[i].x,points[i].y)}ctx.closePath()}}]);return EndPoint}();var Arrow=function(_EndPoint){(0,_inherits3[\"default\"])(Arrow,_EndPoint);function Arrow(){(0,_classCallCheck3[\"default\"])(this,Arrow);return(0,_possibleConstructorReturn3[\"default\"])(this,(Arrow.__proto__||(0,_getPrototypeOf2[\"default\"])(Arrow)).apply(this,arguments))}(0,_createClass3[\"default\"])(Arrow,null,[{key:\"draw\",value:function draw(ctx,arrowData){var points=[{x:0,y:0},{x:-1,y:.3},{x:-.9,y:0},{x:-1,y:-.3}];EndPoint.transform(points,arrowData);EndPoint.drawPath(ctx,points)}}]);return Arrow}(EndPoint);var Circle=function(){function Circle(){(0,_classCallCheck3[\"default\"])(this,Circle)}(0,_createClass3[\"default\"])(Circle,null,[{key:\"draw\",value:function draw(ctx,arrowData){var point={x:-.4,y:0};EndPoint.transform(point,arrowData);ctx.circle(point.x,point.y,arrowData.length*.4)}}]);return Circle}();var Bar=function(){function Bar(){(0,_classCallCheck3[\"default\"])(this,Bar)}(0,_createClass3[\"default\"])(Bar,null,[{key:\"draw\",value:function draw(ctx,arrowData){var points=[{x:0,y:.5},{x:0,y:-.5},{x:-.15,y:-.5},{x:-.15,y:.5}];EndPoint.transform(points,arrowData);EndPoint.drawPath(ctx,points)}}]);return Bar}();var EndPoints=function(){function EndPoints(){(0,_classCallCheck3[\"default\"])(this,EndPoints)}(0,_createClass3[\"default\"])(EndPoints,null,[{key:\"draw\",value:function draw(ctx,arrowData){var type;if(arrowData.type){type=arrowData.type.toLowerCase()}switch(type){case\"circle\":Circle.draw(ctx,arrowData);break;case\"bar\":Bar.draw(ctx,arrowData);break;case\"arrow\":default:Arrow.draw(ctx,arrowData)}}}]);return EndPoints}();exports[\"default\"]=EndPoints},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var BarnesHutSolver=function(){function BarnesHutSolver(body,physicsBody,options){(0,_classCallCheck3[\"default\"])(this,BarnesHutSolver);this.body=body;this.physicsBody=physicsBody;this.barnesHutTree;this.setOptions(options);this.randomSeed=5}(0,_createClass3[\"default\"])(BarnesHutSolver,[{key:\"setOptions\",value:function setOptions(options){this.options=options;this.thetaInversed=1/this.options.theta;this.overlapAvoidanceFactor=1-Math.max(0,Math.min(1,this.options.avoidOverlap))}},{key:\"seededRandom\",value:function seededRandom(){var x=Math.sin(this.randomSeed++)*1e4;return x-Math.floor(x)}},{key:\"solve\",value:function solve(){if(this.options.gravitationalConstant!==0&&this.physicsBody.physicsNodeIndices.length>0){var node=void 0;var nodes=this.body.nodes;var nodeIndices=this.physicsBody.physicsNodeIndices;var nodeCount=nodeIndices.length;var barnesHutTree=this._formBarnesHutTree(nodes,nodeIndices);this.barnesHutTree=barnesHutTree;for(var i=0;i<nodeCount;i++){node=nodes[nodeIndices[i]];if(node.options.mass>0){this._getForceContributions(barnesHutTree.root,node)}}}}},{key:\"_getForceContributions\",value:function _getForceContributions(parentBranch,node){this._getForceContribution(parentBranch.children.NW,node);this._getForceContribution(parentBranch.children.NE,node);this._getForceContribution(parentBranch.children.SW,node);this._getForceContribution(parentBranch.children.SE,node)}},{key:\"_getForceContribution\",value:function _getForceContribution(parentBranch,node){if(parentBranch.childrenCount>0){var dx=void 0,dy=void 0,distance=void 0;dx=parentBranch.centerOfMass.x-node.x;dy=parentBranch.centerOfMass.y-node.y;distance=Math.sqrt(dx*dx+dy*dy);if(distance*parentBranch.calcSize>this.thetaInversed){this._calculateForces(distance,dx,dy,node,parentBranch)}else{if(parentBranch.childrenCount===4){this._getForceContributions(parentBranch,node)}else{if(parentBranch.children.data.id!=node.id){this._calculateForces(distance,dx,dy,node,parentBranch)}}}}}},{key:\"_calculateForces\",value:function _calculateForces(distance,dx,dy,node,parentBranch){if(distance===0){distance=.1;dx=distance}if(this.overlapAvoidanceFactor<1&&node.shape.radius){distance=Math.max(.1+this.overlapAvoidanceFactor*node.shape.radius,distance-node.shape.radius)}var gravityForce=this.options.gravitationalConstant*parentBranch.mass*node.options.mass/Math.pow(distance,3);var fx=dx*gravityForce;var fy=dy*gravityForce;this.physicsBody.forces[node.id].x+=fx;this.physicsBody.forces[node.id].y+=fy}},{key:\"_formBarnesHutTree\",value:function _formBarnesHutTree(nodes,nodeIndices){var node=void 0;var nodeCount=nodeIndices.length;var minX=nodes[nodeIndices[0]].x;var minY=nodes[nodeIndices[0]].y;var maxX=nodes[nodeIndices[0]].x;var maxY=nodes[nodeIndices[0]].y;for(var i=1;i<nodeCount;i++){var _node=nodes[nodeIndices[i]];var x=_node.x;var y=_node.y;if(_node.options.mass>0){if(x<minX){minX=x}if(x>maxX){maxX=x}if(y<minY){minY=y}if(y>maxY){maxY=y}}}var sizeDiff=Math.abs(maxX-minX)-Math.abs(maxY-minY);if(sizeDiff>0){minY-=.5*sizeDiff;maxY+=.5*sizeDiff}else{minX+=.5*sizeDiff;maxX-=.5*sizeDiff}var minimumTreeSize=1e-5;var rootSize=Math.max(minimumTreeSize,Math.abs(maxX-minX));var halfRootSize=.5*rootSize;var centerX=.5*(minX+maxX),centerY=.5*(minY+maxY);var barnesHutTree={root:{centerOfMass:{x:0,y:0},mass:0,range:{minX:centerX-halfRootSize,maxX:centerX+halfRootSize,minY:centerY-halfRootSize,maxY:centerY+halfRootSize},size:rootSize,calcSize:1/rootSize,children:{data:null},maxWidth:0,level:0,childrenCount:4}};this._splitBranch(barnesHutTree.root);for(var _i=0;_i<nodeCount;_i++){node=nodes[nodeIndices[_i]];if(node.options.mass>0){this._placeInTree(barnesHutTree.root,node)}}return barnesHutTree}},{key:\"_updateBranchMass\",value:function _updateBranchMass(parentBranch,node){var centerOfMass=parentBranch.centerOfMass;var totalMass=parentBranch.mass+node.options.mass;var totalMassInv=1/totalMass;centerOfMass.x=centerOfMass.x*parentBranch.mass+node.x*node.options.mass;centerOfMass.x*=totalMassInv;centerOfMass.y=centerOfMass.y*parentBranch.mass+node.y*node.options.mass;centerOfMass.y*=totalMassInv;parentBranch.mass=totalMass;var biggestSize=Math.max(Math.max(node.height,node.radius),node.width);parentBranch.maxWidth=parentBranch.maxWidth<biggestSize?biggestSize:parentBranch.maxWidth}},{key:\"_placeInTree\",value:function _placeInTree(parentBranch,node,skipMassUpdate){if(skipMassUpdate!=true||skipMassUpdate===undefined){this._updateBranchMass(parentBranch,node)}var range=parentBranch.children.NW.range;var region=void 0;if(range.maxX>node.x){if(range.maxY>node.y){region=\"NW\"}else{region=\"SW\"}}else{if(range.maxY>node.y){region=\"NE\"}else{region=\"SE\"}}this._placeInRegion(parentBranch,node,region)}},{key:\"_placeInRegion\",value:function _placeInRegion(parentBranch,node,region){var children=parentBranch.children[region];switch(children.childrenCount){case 0:children.children.data=node;children.childrenCount=1;this._updateBranchMass(children,node);break;case 1:if(children.children.data.x===node.x&&children.children.data.y===node.y){node.x+=this.seededRandom();node.y+=this.seededRandom()}else{this._splitBranch(children);this._placeInTree(children,node)}break;case 4:this._placeInTree(children,node);break}}},{key:\"_splitBranch\",value:function _splitBranch(parentBranch){var containedNode=null;if(parentBranch.childrenCount===1){containedNode=parentBranch.children.data;parentBranch.mass=0;parentBranch.centerOfMass.x=0;parentBranch.centerOfMass.y=0}parentBranch.childrenCount=4;parentBranch.children.data=null;this._insertRegion(parentBranch,\"NW\");this._insertRegion(parentBranch,\"NE\");this._insertRegion(parentBranch,\"SW\");this._insertRegion(parentBranch,\"SE\");if(containedNode!=null){this._placeInTree(parentBranch,containedNode)}}},{key:\"_insertRegion\",value:function _insertRegion(parentBranch,region){var minX=void 0,maxX=void 0,minY=void 0,maxY=void 0;var childSize=.5*parentBranch.size;switch(region){case\"NW\":minX=parentBranch.range.minX;maxX=parentBranch.range.minX+childSize;minY=parentBranch.range.minY;maxY=parentBranch.range.minY+childSize;break;case\"NE\":minX=parentBranch.range.minX+childSize;maxX=parentBranch.range.maxX;minY=parentBranch.range.minY;maxY=parentBranch.range.minY+childSize;break;case\"SW\":minX=parentBranch.range.minX;maxX=parentBranch.range.minX+childSize;minY=parentBranch.range.minY+childSize;maxY=parentBranch.range.maxY;break;case\"SE\":minX=parentBranch.range.minX+childSize;maxX=parentBranch.range.maxX;minY=parentBranch.range.minY+childSize;maxY=parentBranch.range.maxY;break}parentBranch.children[region]={centerOfMass:{x:0,y:0},mass:0,range:{minX:minX,maxX:maxX,minY:minY,maxY:maxY},size:.5*parentBranch.size,calcSize:2*parentBranch.calcSize,children:{data:null},maxWidth:0,level:parentBranch.level+1,childrenCount:0}}},{key:\"_debug\",value:function _debug(ctx,color){if(this.barnesHutTree!==undefined){ctx.lineWidth=1;this._drawBranch(this.barnesHutTree.root,ctx,color)}}},{key:\"_drawBranch\",value:function _drawBranch(branch,ctx,color){if(color===undefined){color=\"#FF0000\"}if(branch.childrenCount===4){this._drawBranch(branch.children.NW,ctx);this._drawBranch(branch.children.NE,ctx);this._drawBranch(branch.children.SE,ctx);this._drawBranch(branch.children.SW,ctx)}ctx.strokeStyle=color;ctx.beginPath();ctx.moveTo(branch.range.minX,branch.range.minY);ctx.lineTo(branch.range.maxX,branch.range.minY);ctx.stroke();ctx.beginPath();ctx.moveTo(branch.range.maxX,branch.range.minY);ctx.lineTo(branch.range.maxX,branch.range.maxY);ctx.stroke();ctx.beginPath();ctx.moveTo(branch.range.maxX,branch.range.maxY);ctx.lineTo(branch.range.minX,branch.range.maxY);ctx.stroke();ctx.beginPath();ctx.moveTo(branch.range.minX,branch.range.maxY);ctx.lineTo(branch.range.minX,branch.range.minY);ctx.stroke()}}]);return BarnesHutSolver}();exports[\"default\"]=BarnesHutSolver},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var CentralGravitySolver=function(){function CentralGravitySolver(body,physicsBody,options){(0,_classCallCheck3[\"default\"])(this,CentralGravitySolver);this.body=body;this.physicsBody=physicsBody;this.setOptions(options)}(0,_createClass3[\"default\"])(CentralGravitySolver,[{key:\"setOptions\",value:function setOptions(options){this.options=options}},{key:\"solve\",value:function solve(){var dx=void 0,dy=void 0,distance=void 0,node=void 0;var nodes=this.body.nodes;var nodeIndices=this.physicsBody.physicsNodeIndices;var forces=this.physicsBody.forces;for(var i=0;i<nodeIndices.length;i++){var nodeId=nodeIndices[i];node=nodes[nodeId];dx=-node.x;dy=-node.y;distance=Math.sqrt(dx*dx+dy*dy);this._calculateForces(distance,dx,dy,forces,node)}}},{key:\"_calculateForces\",value:function _calculateForces(distance,dx,dy,forces,node){var gravityForce=distance===0?0:this.options.centralGravity/distance;forces[node.id].x=dx*gravityForce;forces[node.id].y=dy*gravityForce}}]);return CentralGravitySolver}();exports[\"default\"]=CentralGravitySolver},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var string=\"string\";var bool=\"boolean\";var number=\"number\";var array=\"array\";var object=\"object\";var dom=\"dom\";var any=\"any\";var endPoints=[\"arrow\",\"circle\",\"bar\"];var allOptions={configure:{enabled:{boolean:bool},filter:{boolean:bool,string:string,array:array,function:\"function\"},container:{dom:dom},showButton:{boolean:bool},__type__:{object:object,boolean:bool,string:string,array:array,function:\"function\"}},edges:{arrows:{to:{enabled:{boolean:bool},scaleFactor:{number:number},type:{string:endPoints},__type__:{object:object,boolean:bool}},middle:{enabled:{boolean:bool},scaleFactor:{number:number},type:{string:endPoints},__type__:{object:object,boolean:bool}},from:{enabled:{boolean:bool},scaleFactor:{number:number},type:{string:endPoints},__type__:{object:object,boolean:bool}},__type__:{string:[\"from\",\"to\",\"middle\"],object:object}},arrowStrikethrough:{boolean:bool},chosen:{label:{boolean:bool,function:\"function\"},edge:{boolean:bool,function:\"function\"},__type__:{object:object,boolean:bool}},color:{color:{string:string},highlight:{string:string},hover:{string:string},inherit:{string:[\"from\",\"to\",\"both\"],boolean:bool},opacity:{number:number},__type__:{object:object,string:string}},dashes:{boolean:bool,array:array},font:{color:{string:string},size:{number:number},face:{string:string},background:{string:string},strokeWidth:{number:number},strokeColor:{string:string},align:{string:[\"horizontal\",\"top\",\"middle\",\"bottom\"]},vadjust:{number:number},multi:{boolean:bool,string:string},bold:{color:{string:string},size:{number:number},face:{string:string},mod:{string:string},vadjust:{number:number},__type__:{object:object,string:string}},boldital:{color:{string:string},size:{number:number},face:{string:string},mod:{string:string},vadjust:{number:number},__type__:{object:object,string:string}},ital:{color:{string:string},size:{number:number},face:{string:string},mod:{string:string},vadjust:{number:number},__type__:{object:object,string:string}},mono:{color:{string:string},size:{number:number},face:{string:string},mod:{string:string},vadjust:{number:number},__type__:{object:object,string:string}},__type__:{object:object,string:string}},hidden:{boolean:bool},hoverWidth:{function:\"function\",number:number},label:{string:string,undefined:\"undefined\"},labelHighlightBold:{boolean:bool},length:{number:number,undefined:\"undefined\"},physics:{boolean:bool},scaling:{min:{number:number},max:{number:number},label:{enabled:{boolean:bool},min:{number:number},max:{number:number},maxVisible:{number:number},drawThreshold:{number:number},__type__:{object:object,boolean:bool}},customScalingFunction:{function:\"function\"},__type__:{object:object}},selectionWidth:{function:\"function\",number:number},selfReferenceSize:{number:number},shadow:{enabled:{boolean:bool},color:{string:string},size:{number:number},x:{number:number},y:{number:number},__type__:{object:object,boolean:bool}},smooth:{enabled:{boolean:bool},type:{string:[\"dynamic\",\"continuous\",\"discrete\",\"diagonalCross\",\"straightCross\",\"horizontal\",\"vertical\",\"curvedCW\",\"curvedCCW\",\"cubicBezier\"]},roundness:{number:number},forceDirection:{string:[\"horizontal\",\"vertical\",\"none\"],boolean:bool},__type__:{object:object,boolean:bool}},title:{string:string,undefined:\"undefined\"},width:{number:number},widthConstraint:{maximum:{number:number},__type__:{object:object,boolean:bool,number:number}},value:{number:number,undefined:\"undefined\"},__type__:{object:object}},groups:{useDefaultGroups:{boolean:bool},__any__:\"get from nodes, will be overwritten below\",__type__:{object:object}},interaction:{dragNodes:{boolean:bool},dragView:{boolean:bool},hideEdgesOnDrag:{boolean:bool},hideNodesOnDrag:{boolean:bool},hover:{boolean:bool},keyboard:{enabled:{boolean:bool},speed:{x:{number:number},y:{number:number},zoom:{number:number},__type__:{object:object}},bindToWindow:{boolean:bool},__type__:{object:object,boolean:bool}},multiselect:{boolean:bool},navigationButtons:{boolean:bool},selectable:{boolean:bool},selectConnectedEdges:{boolean:bool},hoverConnectedEdges:{boolean:bool},tooltipDelay:{number:number},zoomView:{boolean:bool},__type__:{object:object}},layout:{randomSeed:{undefined:\"undefined\",number:number},improvedLayout:{boolean:bool},hierarchical:{enabled:{boolean:bool},levelSeparation:{number:number},nodeSpacing:{number:number},treeSpacing:{number:number},blockShifting:{boolean:bool},edgeMinimization:{boolean:bool},parentCentralization:{boolean:bool},direction:{string:[\"UD\",\"DU\",\"LR\",\"RL\"]},sortMethod:{string:[\"hubsize\",\"directed\"]},__type__:{object:object,boolean:bool}},__type__:{object:object}},manipulation:{enabled:{boolean:bool},initiallyActive:{boolean:bool},addNode:{boolean:bool,function:\"function\"},addEdge:{boolean:bool,function:\"function\"},editNode:{function:\"function\"},editEdge:{editWithoutDrag:{function:\"function\"},__type__:{object:object,boolean:bool,function:\"function\"}},deleteNode:{boolean:bool,function:\"function\"},deleteEdge:{boolean:bool,function:\"function\"},controlNodeStyle:\"get from nodes, will be overwritten 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getWeak=function(it,create){if(!has(it,META)){if(!isExtensible(it))return true;if(!create)return false;setMeta(it)}return it[META].w};var onFreeze=function(it){if(FREEZE&&meta.NEED&&isExtensible(it)&&!has(it,META))setMeta(it);return it};var meta=module.exports={KEY:META,NEED:false,fastKey:fastKey,getWeak:getWeak,onFreeze:onFreeze}},function(module,exports,__webpack_require__){var getKeys=__webpack_require__(33);var gOPS=__webpack_require__(63);var pIE=__webpack_require__(42);module.exports=function(it){var result=getKeys(it);var getSymbols=gOPS.f;if(getSymbols){var symbols=getSymbols(it);var isEnum=pIE.f;var i=0;var key;while(symbols.length>i)if(isEnum.call(it,key=symbols[i++]))result.push(key)}return result}},function(module,exports,__webpack_require__){var cof=__webpack_require__(50);module.exports=Array.isArray||function isArray(arg){return cof(arg)==\"Array\"}},function(module,exports,__webpack_require__){var toIObject=__webpack_require__(25);var gOPN=__webpack_require__(88).f;var toString={}.toString;var windowNames=typeof window==\"object\"&&window&&Object.getOwnPropertyNames?Object.getOwnPropertyNames(window):[];var getWindowNames=function(it){try{return gOPN(it)}catch(e){return windowNames.slice()}};module.exports.f=function getOwnPropertyNames(it){return windowNames&&toString.call(it)==\"[object Window]\"?getWindowNames(it):gOPN(toIObject(it))}},function(module,exports){},function(module,exports,__webpack_require__){__webpack_require__(62)(\"asyncIterator\")},function(module,exports,__webpack_require__){__webpack_require__(62)(\"observable\")},function(module,exports,__webpack_require__){(function(module){var require;(function(global,factory){true?module.exports=factory():typeof define===\"function\"&&define.amd?define(factory):global.moment=factory()})(this,function(){\"use strict\";var hookCallback;function hooks(){return hookCallback.apply(null,arguments)}function setHookCallback(callback){hookCallback=callback}function isArray(input){return input instanceof Array||Object.prototype.toString.call(input)===\"[object Array]\"}function isObject(input){return input!=null&&Object.prototype.toString.call(input)===\"[object Object]\"}function isObjectEmpty(obj){if(Object.getOwnPropertyNames){return Object.getOwnPropertyNames(obj).length===0}else{var k;for(k in obj){if(obj.hasOwnProperty(k)){return false}}return true}}function isUndefined(input){return input===void 0}function isNumber(input){return typeof input===\"number\"||Object.prototype.toString.call(input)===\"[object Number]\"}function isDate(input){return input instanceof Date||Object.prototype.toString.call(input)===\"[object Date]\"}function map(arr,fn){var res=[],i;for(i=0;i<arr.length;++i){res.push(fn(arr[i],i))}return res}function hasOwnProp(a,b){return Object.prototype.hasOwnProperty.call(a,b)}function extend(a,b){for(var i in b){if(hasOwnProp(b,i)){a[i]=b[i]}}if(hasOwnProp(b,\"toString\")){a.toString=b.toString}if(hasOwnProp(b,\"valueOf\")){a.valueOf=b.valueOf}return a}function createUTC(input,format,locale,strict){return createLocalOrUTC(input,format,locale,strict,true).utc()}function defaultParsingFlags(){return{empty:false,unusedTokens:[],unusedInput:[],overflow:-2,charsLeftOver:0,nullInput:false,invalidMonth:null,invalidFormat:false,userInvalidated:false,iso:false,parsedDateParts:[],meridiem:null,rfc2822:false,weekdayMismatch:false}}function getParsingFlags(m){if(m._pf==null){m._pf=defaultParsingFlags()}return m._pf}var some;if(Array.prototype.some){some=Array.prototype.some}else{some=function(fun){var t=Object(this);var len=t.length>>>0;for(var i=0;i<len;i++){if(i in t&&fun.call(this,t[i],i,t)){return true}}return false}}function isValid(m){if(m._isValid==null){var flags=getParsingFlags(m);var parsedParts=some.call(flags.parsedDateParts,function(i){return i!=null});var isNowValid=!isNaN(m._d.getTime())&&flags.overflow<0&&!flags.empty&&!flags.invalidMonth&&!flags.invalidWeekday&&!flags.weekdayMismatch&&!flags.nullInput&&!flags.invalidFormat&&!flags.userInvalidated&&(!flags.meridiem||flags.meridiem&&parsedParts);if(m._strict){isNowValid=isNowValid&&flags.charsLeftOver===0&&flags.unusedTokens.length===0&&flags.bigHour===undefined}if(Object.isFrozen==null||!Object.isFrozen(m)){m._isValid=isNowValid}else{return isNowValid}}return m._isValid}function createInvalid(flags){var m=createUTC(NaN);if(flags!=null){extend(getParsingFlags(m),flags)}else{getParsingFlags(m).userInvalidated=true}return m}var momentProperties=hooks.momentProperties=[];function copyConfig(to,from){var i,prop,val;if(!isUndefined(from._isAMomentObject)){to._isAMomentObject=from._isAMomentObject}if(!isUndefined(from._i)){to._i=from._i}if(!isUndefined(from._f)){to._f=from._f}if(!isUndefined(from._l)){to._l=from._l}if(!isUndefined(from._strict)){to._strict=from._strict}if(!isUndefined(from._tzm)){to._tzm=from._tzm}if(!isUndefined(from._isUTC)){to._isUTC=from._isUTC}if(!isUndefined(from._offset)){to._offset=from._offset}if(!isUndefined(from._pf)){to._pf=getParsingFlags(from)}if(!isUndefined(from._locale)){to._locale=from._locale}if(momentProperties.length>0){for(i=0;i<momentProperties.length;i++){prop=momentProperties[i];val=from[prop];if(!isUndefined(val)){to[prop]=val}}}return to}var updateInProgress=false;function Moment(config){copyConfig(this,config);this._d=new Date(config._d!=null?config._d.getTime():NaN);if(!this.isValid()){this._d=new Date(NaN)}if(updateInProgress===false){updateInProgress=true;hooks.updateOffset(this);updateInProgress=false}}function isMoment(obj){return obj instanceof Moment||obj!=null&&obj._isAMomentObject!=null}function absFloor(number){if(number<0){return Math.ceil(number)||0}else{return Math.floor(number)}}function toInt(argumentForCoercion){var coercedNumber=+argumentForCoercion,value=0;if(coercedNumber!==0&&isFinite(coercedNumber)){value=absFloor(coercedNumber)}return value}function compareArrays(array1,array2,dontConvert){var len=Math.min(array1.length,array2.length),lengthDiff=Math.abs(array1.length-array2.length),diffs=0,i;for(i=0;i<len;i++){if(dontConvert&&array1[i]!==array2[i]||!dontConvert&&toInt(array1[i])!==toInt(array2[i])){diffs++}}return diffs+lengthDiff}function warn(msg){if(hooks.suppressDeprecationWarnings===false&&typeof console!==\"undefined\"&&console.warn){console.warn(\"Deprecation warning: \"+msg)}}function deprecate(msg,fn){var firstTime=true;return extend(function(){if(hooks.deprecationHandler!=null){hooks.deprecationHandler(null,msg)}if(firstTime){var args=[];var arg;for(var i=0;i<arguments.length;i++){arg=\"\";if(typeof arguments[i]===\"object\"){arg+=\"\\n[\"+i+\"] \";for(var key in arguments[0]){arg+=key+\": \"+arguments[0][key]+\", \"}arg=arg.slice(0,-2)}else{arg=arguments[i]}args.push(arg)}warn(msg+\"\\nArguments: \"+Array.prototype.slice.call(args).join(\"\")+\"\\n\"+(new Error).stack);firstTime=false}return fn.apply(this,arguments)},fn)}var deprecations={};function deprecateSimple(name,msg){if(hooks.deprecationHandler!=null){hooks.deprecationHandler(name,msg)}if(!deprecations[name]){warn(msg);deprecations[name]=true}}hooks.suppressDeprecationWarnings=false;hooks.deprecationHandler=null;function isFunction(input){return input instanceof Function||Object.prototype.toString.call(input)===\"[object Function]\"}function set(config){var prop,i;for(i in config){prop=config[i];if(isFunction(prop)){this[i]=prop}else{this[\"_\"+i]=prop}}this._config=config;this._dayOfMonthOrdinalParseLenient=new RegExp((this._dayOfMonthOrdinalParse.source||this._ordinalParse.source)+\"|\"+/\\d{1,2}/.source)}function mergeConfigs(parentConfig,childConfig){var res=extend({},parentConfig),prop;for(prop in childConfig){if(hasOwnProp(childConfig,prop)){if(isObject(parentConfig[prop])&&isObject(childConfig[prop])){res[prop]={};extend(res[prop],parentConfig[prop]);extend(res[prop],childConfig[prop])}else if(childConfig[prop]!=null){res[prop]=childConfig[prop]}else{delete res[prop]}}}for(prop in parentConfig){if(hasOwnProp(parentConfig,prop)&&!hasOwnProp(childConfig,prop)&&isObject(parentConfig[prop])){res[prop]=extend({},res[prop])}}return res}function Locale(config){if(config!=null){this.set(config)}}var keys;if(Object.keys){keys=Object.keys}else{keys=function(obj){var i,res=[];for(i in obj){if(hasOwnProp(obj,i)){res.push(i)}}return res}}var defaultCalendar={sameDay:\"[Today at] LT\",nextDay:\"[Tomorrow at] LT\",nextWeek:\"dddd [at] LT\",lastDay:\"[Yesterday at] LT\",lastWeek:\"[Last] dddd [at] LT\",sameElse:\"L\"};function calendar(key,mom,now){var output=this._calendar[key]||this._calendar[\"sameElse\"];return isFunction(output)?output.call(mom,now):output}var defaultLongDateFormat={LTS:\"h:mm:ss A\",LT:\"h:mm A\",L:\"MM/DD/YYYY\",LL:\"MMMM D, YYYY\",LLL:\"MMMM D, YYYY h:mm A\",LLLL:\"dddd, MMMM D, YYYY h:mm A\"};function longDateFormat(key){var format=this._longDateFormat[key],formatUpper=this._longDateFormat[key.toUpperCase()];if(format||!formatUpper){return format}this._longDateFormat[key]=formatUpper.replace(/MMMM|MM|DD|dddd/g,function(val){return val.slice(1)});return this._longDateFormat[key]}var defaultInvalidDate=\"Invalid date\";function invalidDate(){return this._invalidDate}var defaultOrdinal=\"%d\";var defaultDayOfMonthOrdinalParse=/\\d{1,2}/;function ordinal(number){return this._ordinal.replace(\"%d\",number)}var defaultRelativeTime={future:\"in %s\",past:\"%s ago\",s:\"a few seconds\",ss:\"%d seconds\",m:\"a minute\",mm:\"%d minutes\",h:\"an hour\",hh:\"%d hours\",d:\"a day\",dd:\"%d days\",M:\"a month\",MM:\"%d months\",y:\"a year\",yy:\"%d years\"};function relativeTime(number,withoutSuffix,string,isFuture){var output=this._relativeTime[string];return isFunction(output)?output(number,withoutSuffix,string,isFuture):output.replace(/%d/i,number)}function pastFuture(diff,output){var format=this._relativeTime[diff>0?\"future\":\"past\"];return isFunction(format)?format(output):format.replace(/%s/i,output)}var aliases={};function addUnitAlias(unit,shorthand){var lowerCase=unit.toLowerCase();aliases[lowerCase]=aliases[lowerCase+\"s\"]=aliases[shorthand]=unit}function normalizeUnits(units){return typeof units===\"string\"?aliases[units]||aliases[units.toLowerCase()]:undefined}function normalizeObjectUnits(inputObject){var normalizedInput={},normalizedProp,prop;for(prop in inputObject){if(hasOwnProp(inputObject,prop)){normalizedProp=normalizeUnits(prop);if(normalizedProp){normalizedInput[normalizedProp]=inputObject[prop]}}}return normalizedInput}var priorities={};function addUnitPriority(unit,priority){priorities[unit]=priority}function getPrioritizedUnits(unitsObj){var units=[];for(var u in unitsObj){units.push({unit:u,priority:priorities[u]})}units.sort(function(a,b){return a.priority-b.priority});return units}function zeroFill(number,targetLength,forceSign){var absNumber=\"\"+Math.abs(number),zerosToFill=targetLength-absNumber.length,sign=number>=0;return(sign?forceSign?\"+\":\"\":\"-\")+Math.pow(10,Math.max(0,zerosToFill)).toString().substr(1)+absNumber}var formattingTokens=/(\\[[^\\[]*\\])|(\\\\)?([Hh]mm(ss)?|Mo|MM?M?M?|Do|DDDo|DD?D?D?|ddd?d?|do?|w[o|w]?|W[o|W]?|Qo?|YYYYYY|YYYYY|YYYY|YY|gg(ggg?)?|GG(GGG?)?|e|E|a|A|hh?|HH?|kk?|mm?|ss?|S{1,9}|x|X|zz?|ZZ?|.)/g;var localFormattingTokens=/(\\[[^\\[]*\\])|(\\\\)?(LTS|LT|LL?L?L?|l{1,4})/g;var formatFunctions={};var formatTokenFunctions={};function addFormatToken(token,padded,ordinal,callback){var func=callback;if(typeof callback===\"string\"){func=function(){return this[callback]()}}if(token){formatTokenFunctions[token]=func}if(padded){formatTokenFunctions[padded[0]]=function(){return zeroFill(func.apply(this,arguments),padded[1],padded[2])}}if(ordinal){formatTokenFunctions[ordinal]=function(){return this.localeData().ordinal(func.apply(this,arguments),token)}}}function removeFormattingTokens(input){if(input.match(/\\[[\\s\\S]/)){return input.replace(/^\\[|\\]$/g,\"\")}return input.replace(/\\\\/g,\"\")}function makeFormatFunction(format){var array=format.match(formattingTokens),i,length;for(i=0,length=array.length;i<length;i++){if(formatTokenFunctions[array[i]]){array[i]=formatTokenFunctions[array[i]]}else{array[i]=removeFormattingTokens(array[i])}}return function(mom){var output=\"\",i;for(i=0;i<length;i++){output+=isFunction(array[i])?array[i].call(mom,format):array[i]}return output}}function formatMoment(m,format){if(!m.isValid()){return m.localeData().invalidDate()}format=expandFormat(format,m.localeData());formatFunctions[format]=formatFunctions[format]||makeFormatFunction(format);return formatFunctions[format](m)}function expandFormat(format,locale){var i=5;function replaceLongDateFormatTokens(input){return locale.longDateFormat(input)||input}localFormattingTokens.lastIndex=0;while(i>=0&&localFormattingTokens.test(format)){format=format.replace(localFormattingTokens,replaceLongDateFormatTokens);localFormattingTokens.lastIndex=0;i-=1}return format}var match1=/\\d/;var match2=/\\d\\d/;var match3=/\\d{3}/;var match4=/\\d{4}/;var match6=/[+-]?\\d{6}/;var match1to2=/\\d\\d?/;var match3to4=/\\d\\d\\d\\d?/;var match5to6=/\\d\\d\\d\\d\\d\\d?/;var match1to3=/\\d{1,3}/;var match1to4=/\\d{1,4}/;var match1to6=/[+-]?\\d{1,6}/;var matchUnsigned=/\\d+/;var matchSigned=/[+-]?\\d+/;var matchOffset=/Z|[+-]\\d\\d:?\\d\\d/gi;var matchShortOffset=/Z|[+-]\\d\\d(?::?\\d\\d)?/gi;var matchTimestamp=/[+-]?\\d+(\\.\\d{1,3})?/;var matchWord=/[0-9]*['a-z\\u00A0-\\u05FF\\u0700-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFEF]+|[\\u0600-\\u06FF\\/]+(\\s*?[\\u0600-\\u06FF]+){1,2}/i;var regexes={};function addRegexToken(token,regex,strictRegex){regexes[token]=isFunction(regex)?regex:function(isStrict,localeData){return isStrict&&strictRegex?strictRegex:regex}}function getParseRegexForToken(token,config){if(!hasOwnProp(regexes,token)){return new RegExp(unescapeFormat(token))}return regexes[token](config._strict,config._locale)}function unescapeFormat(s){return regexEscape(s.replace(\"\\\\\",\"\").replace(/\\\\(\\[)|\\\\(\\])|\\[([^\\]\\[]*)\\]|\\\\(.)/g,function(matched,p1,p2,p3,p4){return p1||p2||p3||p4}))}function regexEscape(s){return s.replace(/[-\\/\\\\^$*+?.()|[\\]{}]/g,\"\\\\$&\")}var tokens={};function addParseToken(token,callback){var i,func=callback;if(typeof token===\"string\"){token=[token]}if(isNumber(callback)){func=function(input,array){array[callback]=toInt(input)}}for(i=0;i<token.length;i++){tokens[token[i]]=func}}function addWeekParseToken(token,callback){addParseToken(token,function(input,array,config,token){config._w=config._w||{};callback(input,config._w,config,token)})}function addTimeToArrayFromToken(token,input,config){if(input!=null&&hasOwnProp(tokens,token)){tokens[token](input,config._a,config,token)}}var YEAR=0;var MONTH=1;var DATE=2;var HOUR=3;var MINUTE=4;var SECOND=5;var MILLISECOND=6;var WEEK=7;var WEEKDAY=8;addFormatToken(\"Y\",0,0,function(){var y=this.year();return y<=9999?\"\"+y:\"+\"+y});addFormatToken(0,[\"YY\",2],0,function(){return this.year()%100});addFormatToken(0,[\"YYYY\",4],0,\"year\");addFormatToken(0,[\"YYYYY\",5],0,\"year\");addFormatToken(0,[\"YYYYYY\",6,true],0,\"year\");addUnitAlias(\"year\",\"y\");addUnitPriority(\"year\",1);addRegexToken(\"Y\",matchSigned)\n;addRegexToken(\"YY\",match1to2,match2);addRegexToken(\"YYYY\",match1to4,match4);addRegexToken(\"YYYYY\",match1to6,match6);addRegexToken(\"YYYYYY\",match1to6,match6);addParseToken([\"YYYYY\",\"YYYYYY\"],YEAR);addParseToken(\"YYYY\",function(input,array){array[YEAR]=input.length===2?hooks.parseTwoDigitYear(input):toInt(input)});addParseToken(\"YY\",function(input,array){array[YEAR]=hooks.parseTwoDigitYear(input)});addParseToken(\"Y\",function(input,array){array[YEAR]=parseInt(input,10)});function daysInYear(year){return isLeapYear(year)?366:365}function isLeapYear(year){return year%4===0&&year%100!==0||year%400===0}hooks.parseTwoDigitYear=function(input){return toInt(input)+(toInt(input)>68?1900:2e3)};var getSetYear=makeGetSet(\"FullYear\",true);function getIsLeapYear(){return isLeapYear(this.year())}function makeGetSet(unit,keepTime){return function(value){if(value!=null){set$1(this,unit,value);hooks.updateOffset(this,keepTime);return this}else{return get(this,unit)}}}function get(mom,unit){return mom.isValid()?mom._d[\"get\"+(mom._isUTC?\"UTC\":\"\")+unit]():NaN}function set$1(mom,unit,value){if(mom.isValid()&&!isNaN(value)){if(unit===\"FullYear\"&&isLeapYear(mom.year())){mom._d[\"set\"+(mom._isUTC?\"UTC\":\"\")+unit](value,mom.month(),daysInMonth(value,mom.month()))}else{mom._d[\"set\"+(mom._isUTC?\"UTC\":\"\")+unit](value)}}}function stringGet(units){units=normalizeUnits(units);if(isFunction(this[units])){return this[units]()}return this}function stringSet(units,value){if(typeof units===\"object\"){units=normalizeObjectUnits(units);var prioritized=getPrioritizedUnits(units);for(var i=0;i<prioritized.length;i++){this[prioritized[i].unit](units[prioritized[i].unit])}}else{units=normalizeUnits(units);if(isFunction(this[units])){return this[units](value)}}return this}function mod(n,x){return(n%x+x)%x}var indexOf;if(Array.prototype.indexOf){indexOf=Array.prototype.indexOf}else{indexOf=function(o){var i;for(i=0;i<this.length;++i){if(this[i]===o){return i}}return-1}}function daysInMonth(year,month){if(isNaN(year)||isNaN(month)){return NaN}var modMonth=mod(month,12);year+=(month-modMonth)/12;return modMonth===1?isLeapYear(year)?29:28:31-modMonth%7%2}addFormatToken(\"M\",[\"MM\",2],\"Mo\",function(){return this.month()+1});addFormatToken(\"MMM\",0,0,function(format){return this.localeData().monthsShort(this,format)});addFormatToken(\"MMMM\",0,0,function(format){return this.localeData().months(this,format)});addUnitAlias(\"month\",\"M\");addUnitPriority(\"month\",8);addRegexToken(\"M\",match1to2);addRegexToken(\"MM\",match1to2,match2);addRegexToken(\"MMM\",function(isStrict,locale){return locale.monthsShortRegex(isStrict)});addRegexToken(\"MMMM\",function(isStrict,locale){return locale.monthsRegex(isStrict)});addParseToken([\"M\",\"MM\"],function(input,array){array[MONTH]=toInt(input)-1});addParseToken([\"MMM\",\"MMMM\"],function(input,array,config,token){var month=config._locale.monthsParse(input,token,config._strict);if(month!=null){array[MONTH]=month}else{getParsingFlags(config).invalidMonth=input}});var MONTHS_IN_FORMAT=/D[oD]?(\\[[^\\[\\]]*\\]|\\s)+MMMM?/;var defaultLocaleMonths=\"January_February_March_April_May_June_July_August_September_October_November_December\".split(\"_\");function localeMonths(m,format){if(!m){return isArray(this._months)?this._months:this._months[\"standalone\"]}return isArray(this._months)?this._months[m.month()]:this._months[(this._months.isFormat||MONTHS_IN_FORMAT).test(format)?\"format\":\"standalone\"][m.month()]}var defaultLocaleMonthsShort=\"Jan_Feb_Mar_Apr_May_Jun_Jul_Aug_Sep_Oct_Nov_Dec\".split(\"_\");function localeMonthsShort(m,format){if(!m){return isArray(this._monthsShort)?this._monthsShort:this._monthsShort[\"standalone\"]}return isArray(this._monthsShort)?this._monthsShort[m.month()]:this._monthsShort[MONTHS_IN_FORMAT.test(format)?\"format\":\"standalone\"][m.month()]}function handleStrictParse(monthName,format,strict){var i,ii,mom,llc=monthName.toLocaleLowerCase();if(!this._monthsParse){this._monthsParse=[];this._longMonthsParse=[];this._shortMonthsParse=[];for(i=0;i<12;++i){mom=createUTC([2e3,i]);this._shortMonthsParse[i]=this.monthsShort(mom,\"\").toLocaleLowerCase();this._longMonthsParse[i]=this.months(mom,\"\").toLocaleLowerCase()}}if(strict){if(format===\"MMM\"){ii=indexOf.call(this._shortMonthsParse,llc);return ii!==-1?ii:null}else{ii=indexOf.call(this._longMonthsParse,llc);return ii!==-1?ii:null}}else{if(format===\"MMM\"){ii=indexOf.call(this._shortMonthsParse,llc);if(ii!==-1){return ii}ii=indexOf.call(this._longMonthsParse,llc);return ii!==-1?ii:null}else{ii=indexOf.call(this._longMonthsParse,llc);if(ii!==-1){return ii}ii=indexOf.call(this._shortMonthsParse,llc);return ii!==-1?ii:null}}}function localeMonthsParse(monthName,format,strict){var i,mom,regex;if(this._monthsParseExact){return handleStrictParse.call(this,monthName,format,strict)}if(!this._monthsParse){this._monthsParse=[];this._longMonthsParse=[];this._shortMonthsParse=[]}for(i=0;i<12;i++){mom=createUTC([2e3,i]);if(strict&&!this._longMonthsParse[i]){this._longMonthsParse[i]=new RegExp(\"^\"+this.months(mom,\"\").replace(\".\",\"\")+\"$\",\"i\");this._shortMonthsParse[i]=new RegExp(\"^\"+this.monthsShort(mom,\"\").replace(\".\",\"\")+\"$\",\"i\")}if(!strict&&!this._monthsParse[i]){regex=\"^\"+this.months(mom,\"\")+\"|^\"+this.monthsShort(mom,\"\");this._monthsParse[i]=new RegExp(regex.replace(\".\",\"\"),\"i\")}if(strict&&format===\"MMMM\"&&this._longMonthsParse[i].test(monthName)){return i}else if(strict&&format===\"MMM\"&&this._shortMonthsParse[i].test(monthName)){return i}else if(!strict&&this._monthsParse[i].test(monthName)){return i}}}function setMonth(mom,value){var dayOfMonth;if(!mom.isValid()){return mom}if(typeof value===\"string\"){if(/^\\d+$/.test(value)){value=toInt(value)}else{value=mom.localeData().monthsParse(value);if(!isNumber(value)){return mom}}}dayOfMonth=Math.min(mom.date(),daysInMonth(mom.year(),value));mom._d[\"set\"+(mom._isUTC?\"UTC\":\"\")+\"Month\"](value,dayOfMonth);return mom}function getSetMonth(value){if(value!=null){setMonth(this,value);hooks.updateOffset(this,true);return this}else{return get(this,\"Month\")}}function getDaysInMonth(){return daysInMonth(this.year(),this.month())}var defaultMonthsShortRegex=matchWord;function monthsShortRegex(isStrict){if(this._monthsParseExact){if(!hasOwnProp(this,\"_monthsRegex\")){computeMonthsParse.call(this)}if(isStrict){return this._monthsShortStrictRegex}else{return this._monthsShortRegex}}else{if(!hasOwnProp(this,\"_monthsShortRegex\")){this._monthsShortRegex=defaultMonthsShortRegex}return this._monthsShortStrictRegex&&isStrict?this._monthsShortStrictRegex:this._monthsShortRegex}}var defaultMonthsRegex=matchWord;function monthsRegex(isStrict){if(this._monthsParseExact){if(!hasOwnProp(this,\"_monthsRegex\")){computeMonthsParse.call(this)}if(isStrict){return this._monthsStrictRegex}else{return this._monthsRegex}}else{if(!hasOwnProp(this,\"_monthsRegex\")){this._monthsRegex=defaultMonthsRegex}return this._monthsStrictRegex&&isStrict?this._monthsStrictRegex:this._monthsRegex}}function computeMonthsParse(){function cmpLenRev(a,b){return b.length-a.length}var shortPieces=[],longPieces=[],mixedPieces=[],i,mom;for(i=0;i<12;i++){mom=createUTC([2e3,i]);shortPieces.push(this.monthsShort(mom,\"\"));longPieces.push(this.months(mom,\"\"));mixedPieces.push(this.months(mom,\"\"));mixedPieces.push(this.monthsShort(mom,\"\"))}shortPieces.sort(cmpLenRev);longPieces.sort(cmpLenRev);mixedPieces.sort(cmpLenRev);for(i=0;i<12;i++){shortPieces[i]=regexEscape(shortPieces[i]);longPieces[i]=regexEscape(longPieces[i])}for(i=0;i<24;i++){mixedPieces[i]=regexEscape(mixedPieces[i])}this._monthsRegex=new RegExp(\"^(\"+mixedPieces.join(\"|\")+\")\",\"i\");this._monthsShortRegex=this._monthsRegex;this._monthsStrictRegex=new RegExp(\"^(\"+longPieces.join(\"|\")+\")\",\"i\");this._monthsShortStrictRegex=new RegExp(\"^(\"+shortPieces.join(\"|\")+\")\",\"i\")}function createDate(y,m,d,h,M,s,ms){var date=new Date(y,m,d,h,M,s,ms);if(y<100&&y>=0&&isFinite(date.getFullYear())){date.setFullYear(y)}return date}function createUTCDate(y){var date=new Date(Date.UTC.apply(null,arguments));if(y<100&&y>=0&&isFinite(date.getUTCFullYear())){date.setUTCFullYear(y)}return date}function firstWeekOffset(year,dow,doy){var fwd=7+dow-doy,fwdlw=(7+createUTCDate(year,0,fwd).getUTCDay()-dow)%7;return-fwdlw+fwd-1}function dayOfYearFromWeeks(year,week,weekday,dow,doy){var localWeekday=(7+weekday-dow)%7,weekOffset=firstWeekOffset(year,dow,doy),dayOfYear=1+7*(week-1)+localWeekday+weekOffset,resYear,resDayOfYear;if(dayOfYear<=0){resYear=year-1;resDayOfYear=daysInYear(resYear)+dayOfYear}else if(dayOfYear>daysInYear(year)){resYear=year+1;resDayOfYear=dayOfYear-daysInYear(year)}else{resYear=year;resDayOfYear=dayOfYear}return{year:resYear,dayOfYear:resDayOfYear}}function weekOfYear(mom,dow,doy){var weekOffset=firstWeekOffset(mom.year(),dow,doy),week=Math.floor((mom.dayOfYear()-weekOffset-1)/7)+1,resWeek,resYear;if(week<1){resYear=mom.year()-1;resWeek=week+weeksInYear(resYear,dow,doy)}else if(week>weeksInYear(mom.year(),dow,doy)){resWeek=week-weeksInYear(mom.year(),dow,doy);resYear=mom.year()+1}else{resYear=mom.year();resWeek=week}return{week:resWeek,year:resYear}}function weeksInYear(year,dow,doy){var weekOffset=firstWeekOffset(year,dow,doy),weekOffsetNext=firstWeekOffset(year+1,dow,doy);return(daysInYear(year)-weekOffset+weekOffsetNext)/7}addFormatToken(\"w\",[\"ww\",2],\"wo\",\"week\");addFormatToken(\"W\",[\"WW\",2],\"Wo\",\"isoWeek\");addUnitAlias(\"week\",\"w\");addUnitAlias(\"isoWeek\",\"W\");addUnitPriority(\"week\",5);addUnitPriority(\"isoWeek\",5);addRegexToken(\"w\",match1to2);addRegexToken(\"ww\",match1to2,match2);addRegexToken(\"W\",match1to2);addRegexToken(\"WW\",match1to2,match2);addWeekParseToken([\"w\",\"ww\",\"W\",\"WW\"],function(input,week,config,token){week[token.substr(0,1)]=toInt(input)});function localeWeek(mom){return weekOfYear(mom,this._week.dow,this._week.doy).week}var defaultLocaleWeek={dow:0,doy:6};function localeFirstDayOfWeek(){return this._week.dow}function localeFirstDayOfYear(){return this._week.doy}function getSetWeek(input){var week=this.localeData().week(this);return input==null?week:this.add((input-week)*7,\"d\")}function getSetISOWeek(input){var week=weekOfYear(this,1,4).week;return input==null?week:this.add((input-week)*7,\"d\")}addFormatToken(\"d\",0,\"do\",\"day\");addFormatToken(\"dd\",0,0,function(format){return this.localeData().weekdaysMin(this,format)});addFormatToken(\"ddd\",0,0,function(format){return this.localeData().weekdaysShort(this,format)});addFormatToken(\"dddd\",0,0,function(format){return this.localeData().weekdays(this,format)});addFormatToken(\"e\",0,0,\"weekday\");addFormatToken(\"E\",0,0,\"isoWeekday\");addUnitAlias(\"day\",\"d\");addUnitAlias(\"weekday\",\"e\");addUnitAlias(\"isoWeekday\",\"E\");addUnitPriority(\"day\",11);addUnitPriority(\"weekday\",11);addUnitPriority(\"isoWeekday\",11);addRegexToken(\"d\",match1to2);addRegexToken(\"e\",match1to2);addRegexToken(\"E\",match1to2);addRegexToken(\"dd\",function(isStrict,locale){return locale.weekdaysMinRegex(isStrict)});addRegexToken(\"ddd\",function(isStrict,locale){return locale.weekdaysShortRegex(isStrict)});addRegexToken(\"dddd\",function(isStrict,locale){return locale.weekdaysRegex(isStrict)});addWeekParseToken([\"dd\",\"ddd\",\"dddd\"],function(input,week,config,token){var weekday=config._locale.weekdaysParse(input,token,config._strict);if(weekday!=null){week.d=weekday}else{getParsingFlags(config).invalidWeekday=input}});addWeekParseToken([\"d\",\"e\",\"E\"],function(input,week,config,token){week[token]=toInt(input)});function parseWeekday(input,locale){if(typeof input!==\"string\"){return input}if(!isNaN(input)){return parseInt(input,10)}input=locale.weekdaysParse(input);if(typeof input===\"number\"){return input}return null}function parseIsoWeekday(input,locale){if(typeof input===\"string\"){return locale.weekdaysParse(input)%7||7}return isNaN(input)?null:input}var defaultLocaleWeekdays=\"Sunday_Monday_Tuesday_Wednesday_Thursday_Friday_Saturday\".split(\"_\");function localeWeekdays(m,format){if(!m){return isArray(this._weekdays)?this._weekdays:this._weekdays[\"standalone\"]}return isArray(this._weekdays)?this._weekdays[m.day()]:this._weekdays[this._weekdays.isFormat.test(format)?\"format\":\"standalone\"][m.day()]}var defaultLocaleWeekdaysShort=\"Sun_Mon_Tue_Wed_Thu_Fri_Sat\".split(\"_\");function localeWeekdaysShort(m){return m?this._weekdaysShort[m.day()]:this._weekdaysShort}var defaultLocaleWeekdaysMin=\"Su_Mo_Tu_We_Th_Fr_Sa\".split(\"_\");function localeWeekdaysMin(m){return m?this._weekdaysMin[m.day()]:this._weekdaysMin}function handleStrictParse$1(weekdayName,format,strict){var i,ii,mom,llc=weekdayName.toLocaleLowerCase();if(!this._weekdaysParse){this._weekdaysParse=[];this._shortWeekdaysParse=[];this._minWeekdaysParse=[];for(i=0;i<7;++i){mom=createUTC([2e3,1]).day(i);this._minWeekdaysParse[i]=this.weekdaysMin(mom,\"\").toLocaleLowerCase();this._shortWeekdaysParse[i]=this.weekdaysShort(mom,\"\").toLocaleLowerCase();this._weekdaysParse[i]=this.weekdays(mom,\"\").toLocaleLowerCase()}}if(strict){if(format===\"dddd\"){ii=indexOf.call(this._weekdaysParse,llc);return ii!==-1?ii:null}else if(format===\"ddd\"){ii=indexOf.call(this._shortWeekdaysParse,llc);return ii!==-1?ii:null}else{ii=indexOf.call(this._minWeekdaysParse,llc);return ii!==-1?ii:null}}else{if(format===\"dddd\"){ii=indexOf.call(this._weekdaysParse,llc);if(ii!==-1){return ii}ii=indexOf.call(this._shortWeekdaysParse,llc);if(ii!==-1){return ii}ii=indexOf.call(this._minWeekdaysParse,llc);return ii!==-1?ii:null}else if(format===\"ddd\"){ii=indexOf.call(this._shortWeekdaysParse,llc);if(ii!==-1){return ii}ii=indexOf.call(this._weekdaysParse,llc);if(ii!==-1){return ii}ii=indexOf.call(this._minWeekdaysParse,llc);return ii!==-1?ii:null}else{ii=indexOf.call(this._minWeekdaysParse,llc);if(ii!==-1){return ii}ii=indexOf.call(this._weekdaysParse,llc);if(ii!==-1){return ii}ii=indexOf.call(this._shortWeekdaysParse,llc);return ii!==-1?ii:null}}}function localeWeekdaysParse(weekdayName,format,strict){var i,mom,regex;if(this._weekdaysParseExact){return handleStrictParse$1.call(this,weekdayName,format,strict)}if(!this._weekdaysParse){this._weekdaysParse=[];this._minWeekdaysParse=[];this._shortWeekdaysParse=[];this._fullWeekdaysParse=[]}for(i=0;i<7;i++){mom=createUTC([2e3,1]).day(i);if(strict&&!this._fullWeekdaysParse[i]){this._fullWeekdaysParse[i]=new RegExp(\"^\"+this.weekdays(mom,\"\").replace(\".\",\".?\")+\"$\",\"i\");this._shortWeekdaysParse[i]=new RegExp(\"^\"+this.weekdaysShort(mom,\"\").replace(\".\",\".?\")+\"$\",\"i\");this._minWeekdaysParse[i]=new RegExp(\"^\"+this.weekdaysMin(mom,\"\").replace(\".\",\".?\")+\"$\",\"i\")}if(!this._weekdaysParse[i]){regex=\"^\"+this.weekdays(mom,\"\")+\"|^\"+this.weekdaysShort(mom,\"\")+\"|^\"+this.weekdaysMin(mom,\"\");this._weekdaysParse[i]=new RegExp(regex.replace(\".\",\"\"),\"i\")}if(strict&&format===\"dddd\"&&this._fullWeekdaysParse[i].test(weekdayName)){return i}else if(strict&&format===\"ddd\"&&this._shortWeekdaysParse[i].test(weekdayName)){return i}else if(strict&&format===\"dd\"&&this._minWeekdaysParse[i].test(weekdayName)){return i}else if(!strict&&this._weekdaysParse[i].test(weekdayName)){return i}}}function getSetDayOfWeek(input){if(!this.isValid()){return input!=null?this:NaN}var day=this._isUTC?this._d.getUTCDay():this._d.getDay();if(input!=null){input=parseWeekday(input,this.localeData());return this.add(input-day,\"d\")}else{return day}}function getSetLocaleDayOfWeek(input){if(!this.isValid()){return input!=null?this:NaN}var weekday=(this.day()+7-this.localeData()._week.dow)%7;return input==null?weekday:this.add(input-weekday,\"d\")}function getSetISODayOfWeek(input){if(!this.isValid()){return input!=null?this:NaN}if(input!=null){var weekday=parseIsoWeekday(input,this.localeData());return this.day(this.day()%7?weekday:weekday-7)}else{return this.day()||7}}var defaultWeekdaysRegex=matchWord;function weekdaysRegex(isStrict){if(this._weekdaysParseExact){if(!hasOwnProp(this,\"_weekdaysRegex\")){computeWeekdaysParse.call(this)}if(isStrict){return this._weekdaysStrictRegex}else{return this._weekdaysRegex}}else{if(!hasOwnProp(this,\"_weekdaysRegex\")){this._weekdaysRegex=defaultWeekdaysRegex}return this._weekdaysStrictRegex&&isStrict?this._weekdaysStrictRegex:this._weekdaysRegex}}var defaultWeekdaysShortRegex=matchWord;function weekdaysShortRegex(isStrict){if(this._weekdaysParseExact){if(!hasOwnProp(this,\"_weekdaysRegex\")){computeWeekdaysParse.call(this)}if(isStrict){return this._weekdaysShortStrictRegex}else{return this._weekdaysShortRegex}}else{if(!hasOwnProp(this,\"_weekdaysShortRegex\")){this._weekdaysShortRegex=defaultWeekdaysShortRegex}return this._weekdaysShortStrictRegex&&isStrict?this._weekdaysShortStrictRegex:this._weekdaysShortRegex}}var defaultWeekdaysMinRegex=matchWord;function weekdaysMinRegex(isStrict){if(this._weekdaysParseExact){if(!hasOwnProp(this,\"_weekdaysRegex\")){computeWeekdaysParse.call(this)}if(isStrict){return this._weekdaysMinStrictRegex}else{return this._weekdaysMinRegex}}else{if(!hasOwnProp(this,\"_weekdaysMinRegex\")){this._weekdaysMinRegex=defaultWeekdaysMinRegex}return this._weekdaysMinStrictRegex&&isStrict?this._weekdaysMinStrictRegex:this._weekdaysMinRegex}}function computeWeekdaysParse(){function cmpLenRev(a,b){return b.length-a.length}var minPieces=[],shortPieces=[],longPieces=[],mixedPieces=[],i,mom,minp,shortp,longp;for(i=0;i<7;i++){mom=createUTC([2e3,1]).day(i);minp=this.weekdaysMin(mom,\"\");shortp=this.weekdaysShort(mom,\"\");longp=this.weekdays(mom,\"\");minPieces.push(minp);shortPieces.push(shortp);longPieces.push(longp);mixedPieces.push(minp);mixedPieces.push(shortp);mixedPieces.push(longp)}minPieces.sort(cmpLenRev);shortPieces.sort(cmpLenRev);longPieces.sort(cmpLenRev);mixedPieces.sort(cmpLenRev);for(i=0;i<7;i++){shortPieces[i]=regexEscape(shortPieces[i]);longPieces[i]=regexEscape(longPieces[i]);mixedPieces[i]=regexEscape(mixedPieces[i])}this._weekdaysRegex=new RegExp(\"^(\"+mixedPieces.join(\"|\")+\")\",\"i\");this._weekdaysShortRegex=this._weekdaysRegex;this._weekdaysMinRegex=this._weekdaysRegex;this._weekdaysStrictRegex=new RegExp(\"^(\"+longPieces.join(\"|\")+\")\",\"i\");this._weekdaysShortStrictRegex=new RegExp(\"^(\"+shortPieces.join(\"|\")+\")\",\"i\");this._weekdaysMinStrictRegex=new RegExp(\"^(\"+minPieces.join(\"|\")+\")\",\"i\")}function hFormat(){return this.hours()%12||12}function kFormat(){return this.hours()||24}addFormatToken(\"H\",[\"HH\",2],0,\"hour\");addFormatToken(\"h\",[\"hh\",2],0,hFormat);addFormatToken(\"k\",[\"kk\",2],0,kFormat);addFormatToken(\"hmm\",0,0,function(){return\"\"+hFormat.apply(this)+zeroFill(this.minutes(),2)});addFormatToken(\"hmmss\",0,0,function(){return\"\"+hFormat.apply(this)+zeroFill(this.minutes(),2)+zeroFill(this.seconds(),2)});addFormatToken(\"Hmm\",0,0,function(){return\"\"+this.hours()+zeroFill(this.minutes(),2)});addFormatToken(\"Hmmss\",0,0,function(){return\"\"+this.hours()+zeroFill(this.minutes(),2)+zeroFill(this.seconds(),2)});function meridiem(token,lowercase){addFormatToken(token,0,0,function(){return this.localeData().meridiem(this.hours(),this.minutes(),lowercase)})}meridiem(\"a\",true);meridiem(\"A\",false);addUnitAlias(\"hour\",\"h\");addUnitPriority(\"hour\",13);function matchMeridiem(isStrict,locale){return locale._meridiemParse}addRegexToken(\"a\",matchMeridiem);addRegexToken(\"A\",matchMeridiem);addRegexToken(\"H\",match1to2);addRegexToken(\"h\",match1to2);addRegexToken(\"k\",match1to2);addRegexToken(\"HH\",match1to2,match2);addRegexToken(\"hh\",match1to2,match2);addRegexToken(\"kk\",match1to2,match2);addRegexToken(\"hmm\",match3to4);addRegexToken(\"hmmss\",match5to6);addRegexToken(\"Hmm\",match3to4);addRegexToken(\"Hmmss\",match5to6);addParseToken([\"H\",\"HH\"],HOUR);addParseToken([\"k\",\"kk\"],function(input,array,config){var kInput=toInt(input);array[HOUR]=kInput===24?0:kInput});addParseToken([\"a\",\"A\"],function(input,array,config){config._isPm=config._locale.isPM(input);config._meridiem=input});addParseToken([\"h\",\"hh\"],function(input,array,config){array[HOUR]=toInt(input);getParsingFlags(config).bigHour=true});addParseToken(\"hmm\",function(input,array,config){var pos=input.length-2;array[HOUR]=toInt(input.substr(0,pos));array[MINUTE]=toInt(input.substr(pos));getParsingFlags(config).bigHour=true});addParseToken(\"hmmss\",function(input,array,config){var pos1=input.length-4;var pos2=input.length-2;array[HOUR]=toInt(input.substr(0,pos1));array[MINUTE]=toInt(input.substr(pos1,2));array[SECOND]=toInt(input.substr(pos2));getParsingFlags(config).bigHour=true});addParseToken(\"Hmm\",function(input,array,config){var pos=input.length-2;array[HOUR]=toInt(input.substr(0,pos));array[MINUTE]=toInt(input.substr(pos))});addParseToken(\"Hmmss\",function(input,array,config){var pos1=input.length-4;var pos2=input.length-2;array[HOUR]=toInt(input.substr(0,pos1));array[MINUTE]=toInt(input.substr(pos1,2));array[SECOND]=toInt(input.substr(pos2))});function localeIsPM(input){return(input+\"\").toLowerCase().charAt(0)===\"p\"}var defaultLocaleMeridiemParse=/[ap]\\.?m?\\.?/i;function localeMeridiem(hours,minutes,isLower){if(hours>11){return isLower?\"pm\":\"PM\"}else{return isLower?\"am\":\"AM\"}}var getSetHour=makeGetSet(\"Hours\",true);var baseConfig={calendar:defaultCalendar,longDateFormat:defaultLongDateFormat,invalidDate:defaultInvalidDate,ordinal:defaultOrdinal,dayOfMonthOrdinalParse:defaultDayOfMonthOrdinalParse,relativeTime:defaultRelativeTime,months:defaultLocaleMonths,monthsShort:defaultLocaleMonthsShort,week:defaultLocaleWeek,weekdays:defaultLocaleWeekdays,weekdaysMin:defaultLocaleWeekdaysMin,weekdaysShort:defaultLocaleWeekdaysShort,meridiemParse:defaultLocaleMeridiemParse};var locales={};var localeFamilies={};var globalLocale;function normalizeLocale(key){return key?key.toLowerCase().replace(\"_\",\"-\"):key}function chooseLocale(names){var i=0,j,next,locale,split;while(i<names.length){split=normalizeLocale(names[i]).split(\"-\");j=split.length;next=normalizeLocale(names[i+1]);next=next?next.split(\"-\"):null;while(j>0){locale=loadLocale(split.slice(0,j).join(\"-\"));if(locale){return locale}if(next&&next.length>=j&&compareArrays(split,next,true)>=j-1){break}j--}i++}return null}function loadLocale(name){var oldLocale=null;if(!locales[name]&&typeof module!==\"undefined\"&&module&&module.exports){try{oldLocale=globalLocale._abbr;var aliasedRequire=require;!function webpackMissingModule(){var e=new Error('Cannot find module \"./locale\"');e.code=\"MODULE_NOT_FOUND\";throw e}();getSetGlobalLocale(oldLocale)}catch(e){}}return locales[name]}function getSetGlobalLocale(key,values){var data;if(key){if(isUndefined(values)){data=getLocale(key)}else{data=defineLocale(key,values)}if(data){globalLocale=data}}return globalLocale._abbr}function defineLocale(name,config){if(config!==null){var parentConfig=baseConfig;config.abbr=name;if(locales[name]!=null){deprecateSimple(\"defineLocaleOverride\",\"use moment.updateLocale(localeName, config) to change \"+\"an existing locale. moment.defineLocale(localeName, \"+\"config) should only be used for creating a new locale \"+\"See http://momentjs.com/guides/#/warnings/define-locale/ for more info.\");parentConfig=locales[name]._config}else if(config.parentLocale!=null){if(locales[config.parentLocale]!=null){parentConfig=locales[config.parentLocale]._config}else{if(!localeFamilies[config.parentLocale]){localeFamilies[config.parentLocale]=[]}localeFamilies[config.parentLocale].push({name:name,config:config});return null}}locales[name]=new Locale(mergeConfigs(parentConfig,config));if(localeFamilies[name]){localeFamilies[name].forEach(function(x){defineLocale(x.name,x.config)})}getSetGlobalLocale(name);return locales[name]}else{delete locales[name];return null}}function updateLocale(name,config){if(config!=null){var locale,parentConfig=baseConfig;if(locales[name]!=null){parentConfig=locales[name]._config}config=mergeConfigs(parentConfig,config);locale=new Locale(config);locale.parentLocale=locales[name];locales[name]=locale;getSetGlobalLocale(name)}else{if(locales[name]!=null){if(locales[name].parentLocale!=null){locales[name]=locales[name].parentLocale}else if(locales[name]!=null){delete locales[name]}}}return locales[name]}function getLocale(key){var locale;if(key&&key._locale&&key._locale._abbr){key=key._locale._abbr}if(!key){return globalLocale}if(!isArray(key)){locale=loadLocale(key);if(locale){return locale}key=[key]}return chooseLocale(key)}function listLocales(){return keys(locales)}function checkOverflow(m){var overflow;var a=m._a;if(a&&getParsingFlags(m).overflow===-2){overflow=a[MONTH]<0||a[MONTH]>11?MONTH:a[DATE]<1||a[DATE]>daysInMonth(a[YEAR],a[MONTH])?DATE:a[HOUR]<0||a[HOUR]>24||a[HOUR]===24&&(a[MINUTE]!==0||a[SECOND]!==0||a[MILLISECOND]!==0)?HOUR:a[MINUTE]<0||a[MINUTE]>59?MINUTE:a[SECOND]<0||a[SECOND]>59?SECOND:a[MILLISECOND]<0||a[MILLISECOND]>999?MILLISECOND:-1;if(getParsingFlags(m)._overflowDayOfYear&&(overflow<YEAR||overflow>DATE)){overflow=DATE}if(getParsingFlags(m)._overflowWeeks&&overflow===-1){overflow=WEEK}if(getParsingFlags(m)._overflowWeekday&&overflow===-1){overflow=WEEKDAY}getParsingFlags(m).overflow=overflow}return m}function defaults(a,b,c){if(a!=null){return a}if(b!=null){return b}return c}function currentDateArray(config){var nowValue=new Date(hooks.now());if(config._useUTC){return[nowValue.getUTCFullYear(),nowValue.getUTCMonth(),nowValue.getUTCDate()]}return[nowValue.getFullYear(),nowValue.getMonth(),nowValue.getDate()]}function configFromArray(config){var i,date,input=[],currentDate,yearToUse;if(config._d){return}currentDate=currentDateArray(config);if(config._w&&config._a[DATE]==null&&config._a[MONTH]==null){dayOfYearFromWeekInfo(config)}if(config._dayOfYear!=null){yearToUse=defaults(config._a[YEAR],currentDate[YEAR]);if(config._dayOfYear>daysInYear(yearToUse)||config._dayOfYear===0){getParsingFlags(config)._overflowDayOfYear=true}date=createUTCDate(yearToUse,0,config._dayOfYear);config._a[MONTH]=date.getUTCMonth();config._a[DATE]=date.getUTCDate()}for(i=0;i<3&&config._a[i]==null;++i){config._a[i]=input[i]=currentDate[i]}for(;i<7;i++){config._a[i]=input[i]=config._a[i]==null?i===2?1:0:config._a[i]}if(config._a[HOUR]===24&&config._a[MINUTE]===0&&config._a[SECOND]===0&&config._a[MILLISECOND]===0){config._nextDay=true;config._a[HOUR]=0}config._d=(config._useUTC?createUTCDate:createDate).apply(null,input);if(config._tzm!=null){config._d.setUTCMinutes(config._d.getUTCMinutes()-config._tzm)}if(config._nextDay){config._a[HOUR]=24}if(config._w&&typeof config._w.d!==\"undefined\"&&config._w.d!==config._d.getDay()){getParsingFlags(config).weekdayMismatch=true}}function dayOfYearFromWeekInfo(config){var w,weekYear,week,weekday,dow,doy,temp,weekdayOverflow;w=config._w;if(w.GG!=null||w.W!=null||w.E!=null){dow=1;doy=4;weekYear=defaults(w.GG,config._a[YEAR],weekOfYear(createLocal(),1,4).year);week=defaults(w.W,1);weekday=defaults(w.E,1);if(weekday<1||weekday>7){weekdayOverflow=true}}else{dow=config._locale._week.dow;doy=config._locale._week.doy;var curWeek=weekOfYear(createLocal(),dow,doy);weekYear=defaults(w.gg,config._a[YEAR],curWeek.year);week=defaults(w.w,curWeek.week);if(w.d!=null){weekday=w.d;if(weekday<0||weekday>6){weekdayOverflow=true}}else if(w.e!=null){weekday=w.e+dow;if(w.e<0||w.e>6){weekdayOverflow=true}}else{weekday=dow}}if(week<1||week>weeksInYear(weekYear,dow,doy)){getParsingFlags(config)._overflowWeeks=true}else if(weekdayOverflow!=null){getParsingFlags(config)._overflowWeekday=true}else{temp=dayOfYearFromWeeks(weekYear,week,weekday,dow,doy);config._a[YEAR]=temp.year;config._dayOfYear=temp.dayOfYear}}var extendedIsoRegex=/^\\s*((?:[+-]\\d{6}|\\d{4})-(?:\\d\\d-\\d\\d|W\\d\\d-\\d|W\\d\\d|\\d\\d\\d|\\d\\d))(?:(T| )(\\d\\d(?::\\d\\d(?::\\d\\d(?:[.,]\\d+)?)?)?)([\\+\\-]\\d\\d(?::?\\d\\d)?|\\s*Z)?)?$/;var basicIsoRegex=/^\\s*((?:[+-]\\d{6}|\\d{4})(?:\\d\\d\\d\\d|W\\d\\d\\d|W\\d\\d|\\d\\d\\d|\\d\\d))(?:(T| )(\\d\\d(?:\\d\\d(?:\\d\\d(?:[.,]\\d+)?)?)?)([\\+\\-]\\d\\d(?::?\\d\\d)?|\\s*Z)?)?$/;var tzRegex=/Z|[+-]\\d\\d(?::?\\d\\d)?/;var isoDates=[[\"YYYYYY-MM-DD\",/[+-]\\d{6}-\\d\\d-\\d\\d/],[\"YYYY-MM-DD\",/\\d{4}-\\d\\d-\\d\\d/],[\"GGGG-[W]WW-E\",/\\d{4}-W\\d\\d-\\d/],[\"GGGG-[W]WW\",/\\d{4}-W\\d\\d/,false],[\"YYYY-DDD\",/\\d{4}-\\d{3}/],[\"YYYY-MM\",/\\d{4}-\\d\\d/,false],[\"YYYYYYMMDD\",/[+-]\\d{10}/],[\"YYYYMMDD\",/\\d{8}/],[\"GGGG[W]WWE\",/\\d{4}W\\d{3}/],[\"GGGG[W]WW\",/\\d{4}W\\d{2}/,false],[\"YYYYDDD\",/\\d{7}/]];var isoTimes=[[\"HH:mm:ss.SSSS\",/\\d\\d:\\d\\d:\\d\\d\\.\\d+/],[\"HH:mm:ss,SSSS\",/\\d\\d:\\d\\d:\\d\\d,\\d+/],[\"HH:mm:ss\",/\\d\\d:\\d\\d:\\d\\d/],[\"HH:mm\",/\\d\\d:\\d\\d/],[\"HHmmss.SSSS\",/\\d\\d\\d\\d\\d\\d\\.\\d+/],[\"HHmmss,SSSS\",/\\d\\d\\d\\d\\d\\d,\\d+/],[\"HHmmss\",/\\d\\d\\d\\d\\d\\d/],[\"HHmm\",/\\d\\d\\d\\d/],[\"HH\",/\\d\\d/]];var aspNetJsonRegex=/^\\/?Date\\((\\-?\\d+)/i;function configFromISO(config){var i,l,string=config._i,match=extendedIsoRegex.exec(string)||basicIsoRegex.exec(string),allowTime,dateFormat,timeFormat,tzFormat;if(match){getParsingFlags(config).iso=true;for(i=0,l=isoDates.length;i<l;i++){if(isoDates[i][1].exec(match[1])){dateFormat=isoDates[i][0];allowTime=isoDates[i][2]!==false;break}}if(dateFormat==null){config._isValid=false;return}if(match[3]){for(i=0,l=isoTimes.length;i<l;i++){if(isoTimes[i][1].exec(match[3])){timeFormat=(match[2]||\" \")+isoTimes[i][0];break}}if(timeFormat==null){config._isValid=false;return}}if(!allowTime&&timeFormat!=null){config._isValid=false;return}if(match[4]){if(tzRegex.exec(match[4])){tzFormat=\"Z\"}else{config._isValid=false;return}}config._f=dateFormat+(timeFormat||\"\")+(tzFormat||\"\");configFromStringAndFormat(config)}else{config._isValid=false}}var rfc2822=/^(?:(Mon|Tue|Wed|Thu|Fri|Sat|Sun),?\\s)?(\\d{1,2})\\s(Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)\\s(\\d{2,4})\\s(\\d\\d):(\\d\\d)(?::(\\d\\d))?\\s(?:(UT|GMT|[ECMP][SD]T)|([Zz])|([+-]\\d{4}))$/;function extractFromRFC2822Strings(yearStr,monthStr,dayStr,hourStr,minuteStr,secondStr){var result=[untruncateYear(yearStr),defaultLocaleMonthsShort.indexOf(monthStr),parseInt(dayStr,10),parseInt(hourStr,10),parseInt(minuteStr,10)];if(secondStr){result.push(parseInt(secondStr,10))}return result}function untruncateYear(yearStr){var year=parseInt(yearStr,10);if(year<=49){return 2e3+year}else if(year<=999){return 1900+year}return year}function preprocessRFC2822(s){return s.replace(/\\([^)]*\\)|[\\n\\t]/g,\" \").replace(/(\\s\\s+)/g,\" \").trim()}function checkWeekday(weekdayStr,parsedInput,config){if(weekdayStr){var weekdayProvided=defaultLocaleWeekdaysShort.indexOf(weekdayStr),weekdayActual=new Date(parsedInput[0],parsedInput[1],parsedInput[2]).getDay();if(weekdayProvided!==weekdayActual){getParsingFlags(config).weekdayMismatch=true;config._isValid=false;return false}}return true}var obsOffsets={UT:0,GMT:0,EDT:-4*60,EST:-5*60,CDT:-5*60,CST:-6*60,MDT:-6*60,MST:-7*60,PDT:-7*60,PST:-8*60};function calculateOffset(obsOffset,militaryOffset,numOffset){if(obsOffset){return obsOffsets[obsOffset]}else if(militaryOffset){return 0}else{var hm=parseInt(numOffset,10);var m=hm%100,h=(hm-m)/100;return h*60+m}}function configFromRFC2822(config){var match=rfc2822.exec(preprocessRFC2822(config._i));if(match){var parsedArray=extractFromRFC2822Strings(match[4],match[3],match[2],match[5],match[6],match[7]);if(!checkWeekday(match[1],parsedArray,config)){return}config._a=parsedArray;config._tzm=calculateOffset(match[8],match[9],match[10]);config._d=createUTCDate.apply(null,config._a);config._d.setUTCMinutes(config._d.getUTCMinutes()-config._tzm);getParsingFlags(config).rfc2822=true}else{config._isValid=false}}function configFromString(config){var matched=aspNetJsonRegex.exec(config._i);if(matched!==null){config._d=new Date(+matched[1]);return}configFromISO(config);if(config._isValid===false){delete config._isValid}else{return}configFromRFC2822(config);if(config._isValid===false){delete config._isValid}else{return}hooks.createFromInputFallback(config)}hooks.createFromInputFallback=deprecate(\"value provided is not in a recognized RFC2822 or ISO format. moment construction falls back to js Date(), \"+\"which is not reliable across all browsers and versions. Non RFC2822/ISO date formats are \"+\"discouraged and will be removed in an upcoming major release. Please refer to \"+\"http://momentjs.com/guides/#/warnings/js-date/ for more info.\",function(config){config._d=new Date(config._i+(config._useUTC?\" UTC\":\"\"))});hooks.ISO_8601=function(){};hooks.RFC_2822=function(){};function configFromStringAndFormat(config){if(config._f===hooks.ISO_8601){configFromISO(config);return}if(config._f===hooks.RFC_2822){configFromRFC2822(config);return}config._a=[];getParsingFlags(config).empty=true\n;var string=\"\"+config._i,i,parsedInput,tokens,token,skipped,stringLength=string.length,totalParsedInputLength=0;tokens=expandFormat(config._f,config._locale).match(formattingTokens)||[];for(i=0;i<tokens.length;i++){token=tokens[i];parsedInput=(string.match(getParseRegexForToken(token,config))||[])[0];if(parsedInput){skipped=string.substr(0,string.indexOf(parsedInput));if(skipped.length>0){getParsingFlags(config).unusedInput.push(skipped)}string=string.slice(string.indexOf(parsedInput)+parsedInput.length);totalParsedInputLength+=parsedInput.length}if(formatTokenFunctions[token]){if(parsedInput){getParsingFlags(config).empty=false}else{getParsingFlags(config).unusedTokens.push(token)}addTimeToArrayFromToken(token,parsedInput,config)}else if(config._strict&&!parsedInput){getParsingFlags(config).unusedTokens.push(token)}}getParsingFlags(config).charsLeftOver=stringLength-totalParsedInputLength;if(string.length>0){getParsingFlags(config).unusedInput.push(string)}if(config._a[HOUR]<=12&&getParsingFlags(config).bigHour===true&&config._a[HOUR]>0){getParsingFlags(config).bigHour=undefined}getParsingFlags(config).parsedDateParts=config._a.slice(0);getParsingFlags(config).meridiem=config._meridiem;config._a[HOUR]=meridiemFixWrap(config._locale,config._a[HOUR],config._meridiem);configFromArray(config);checkOverflow(config)}function meridiemFixWrap(locale,hour,meridiem){var isPm;if(meridiem==null){return hour}if(locale.meridiemHour!=null){return locale.meridiemHour(hour,meridiem)}else if(locale.isPM!=null){isPm=locale.isPM(meridiem);if(isPm&&hour<12){hour+=12}if(!isPm&&hour===12){hour=0}return hour}else{return hour}}function configFromStringAndArray(config){var tempConfig,bestMoment,scoreToBeat,i,currentScore;if(config._f.length===0){getParsingFlags(config).invalidFormat=true;config._d=new Date(NaN);return}for(i=0;i<config._f.length;i++){currentScore=0;tempConfig=copyConfig({},config);if(config._useUTC!=null){tempConfig._useUTC=config._useUTC}tempConfig._f=config._f[i];configFromStringAndFormat(tempConfig);if(!isValid(tempConfig)){continue}currentScore+=getParsingFlags(tempConfig).charsLeftOver;currentScore+=getParsingFlags(tempConfig).unusedTokens.length*10;getParsingFlags(tempConfig).score=currentScore;if(scoreToBeat==null||currentScore<scoreToBeat){scoreToBeat=currentScore;bestMoment=tempConfig}}extend(config,bestMoment||tempConfig)}function configFromObject(config){if(config._d){return}var i=normalizeObjectUnits(config._i);config._a=map([i.year,i.month,i.day||i.date,i.hour,i.minute,i.second,i.millisecond],function(obj){return obj&&parseInt(obj,10)});configFromArray(config)}function createFromConfig(config){var res=new Moment(checkOverflow(prepareConfig(config)));if(res._nextDay){res.add(1,\"d\");res._nextDay=undefined}return res}function prepareConfig(config){var input=config._i,format=config._f;config._locale=config._locale||getLocale(config._l);if(input===null||format===undefined&&input===\"\"){return createInvalid({nullInput:true})}if(typeof input===\"string\"){config._i=input=config._locale.preparse(input)}if(isMoment(input)){return new Moment(checkOverflow(input))}else if(isDate(input)){config._d=input}else if(isArray(format)){configFromStringAndArray(config)}else if(format){configFromStringAndFormat(config)}else{configFromInput(config)}if(!isValid(config)){config._d=null}return config}function configFromInput(config){var input=config._i;if(isUndefined(input)){config._d=new Date(hooks.now())}else if(isDate(input)){config._d=new Date(input.valueOf())}else if(typeof input===\"string\"){configFromString(config)}else if(isArray(input)){config._a=map(input.slice(0),function(obj){return parseInt(obj,10)});configFromArray(config)}else if(isObject(input)){configFromObject(config)}else if(isNumber(input)){config._d=new Date(input)}else{hooks.createFromInputFallback(config)}}function createLocalOrUTC(input,format,locale,strict,isUTC){var c={};if(locale===true||locale===false){strict=locale;locale=undefined}if(isObject(input)&&isObjectEmpty(input)||isArray(input)&&input.length===0){input=undefined}c._isAMomentObject=true;c._useUTC=c._isUTC=isUTC;c._l=locale;c._i=input;c._f=format;c._strict=strict;return createFromConfig(c)}function createLocal(input,format,locale,strict){return createLocalOrUTC(input,format,locale,strict,false)}var prototypeMin=deprecate(\"moment().min is deprecated, use moment.max instead. http://momentjs.com/guides/#/warnings/min-max/\",function(){var other=createLocal.apply(null,arguments);if(this.isValid()&&other.isValid()){return other<this?this:other}else{return createInvalid()}});var prototypeMax=deprecate(\"moment().max is deprecated, use moment.min instead. http://momentjs.com/guides/#/warnings/min-max/\",function(){var other=createLocal.apply(null,arguments);if(this.isValid()&&other.isValid()){return other>this?this:other}else{return createInvalid()}});function pickBy(fn,moments){var res,i;if(moments.length===1&&isArray(moments[0])){moments=moments[0]}if(!moments.length){return createLocal()}res=moments[0];for(i=1;i<moments.length;++i){if(!moments[i].isValid()||moments[i][fn](res)){res=moments[i]}}return res}function min(){var args=[].slice.call(arguments,0);return pickBy(\"isBefore\",args)}function max(){var args=[].slice.call(arguments,0);return pickBy(\"isAfter\",args)}var now=function(){return Date.now?Date.now():+new Date};var ordering=[\"year\",\"quarter\",\"month\",\"week\",\"day\",\"hour\",\"minute\",\"second\",\"millisecond\"];function isDurationValid(m){for(var key in m){if(!(indexOf.call(ordering,key)!==-1&&(m[key]==null||!isNaN(m[key])))){return false}}var unitHasDecimal=false;for(var i=0;i<ordering.length;++i){if(m[ordering[i]]){if(unitHasDecimal){return false}if(parseFloat(m[ordering[i]])!==toInt(m[ordering[i]])){unitHasDecimal=true}}}return true}function isValid$1(){return this._isValid}function createInvalid$1(){return createDuration(NaN)}function Duration(duration){var normalizedInput=normalizeObjectUnits(duration),years=normalizedInput.year||0,quarters=normalizedInput.quarter||0,months=normalizedInput.month||0,weeks=normalizedInput.week||0,days=normalizedInput.day||0,hours=normalizedInput.hour||0,minutes=normalizedInput.minute||0,seconds=normalizedInput.second||0,milliseconds=normalizedInput.millisecond||0;this._isValid=isDurationValid(normalizedInput);this._milliseconds=+milliseconds+seconds*1e3+minutes*6e4+hours*1e3*60*60;this._days=+days+weeks*7;this._months=+months+quarters*3+years*12;this._data={};this._locale=getLocale();this._bubble()}function isDuration(obj){return obj instanceof Duration}function absRound(number){if(number<0){return Math.round(-1*number)*-1}else{return Math.round(number)}}function offset(token,separator){addFormatToken(token,0,0,function(){var offset=this.utcOffset();var sign=\"+\";if(offset<0){offset=-offset;sign=\"-\"}return sign+zeroFill(~~(offset/60),2)+separator+zeroFill(~~offset%60,2)})}offset(\"Z\",\":\");offset(\"ZZ\",\"\");addRegexToken(\"Z\",matchShortOffset);addRegexToken(\"ZZ\",matchShortOffset);addParseToken([\"Z\",\"ZZ\"],function(input,array,config){config._useUTC=true;config._tzm=offsetFromString(matchShortOffset,input)});var chunkOffset=/([\\+\\-]|\\d\\d)/gi;function offsetFromString(matcher,string){var matches=(string||\"\").match(matcher);if(matches===null){return null}var chunk=matches[matches.length-1]||[];var parts=(chunk+\"\").match(chunkOffset)||[\"-\",0,0];var minutes=+(parts[1]*60)+toInt(parts[2]);return minutes===0?0:parts[0]===\"+\"?minutes:-minutes}function cloneWithOffset(input,model){var res,diff;if(model._isUTC){res=model.clone();diff=(isMoment(input)||isDate(input)?input.valueOf():createLocal(input).valueOf())-res.valueOf();res._d.setTime(res._d.valueOf()+diff);hooks.updateOffset(res,false);return res}else{return createLocal(input).local()}}function getDateOffset(m){return-Math.round(m._d.getTimezoneOffset()/15)*15}hooks.updateOffset=function(){};function getSetOffset(input,keepLocalTime,keepMinutes){var offset=this._offset||0,localAdjust;if(!this.isValid()){return input!=null?this:NaN}if(input!=null){if(typeof input===\"string\"){input=offsetFromString(matchShortOffset,input);if(input===null){return this}}else if(Math.abs(input)<16&&!keepMinutes){input=input*60}if(!this._isUTC&&keepLocalTime){localAdjust=getDateOffset(this)}this._offset=input;this._isUTC=true;if(localAdjust!=null){this.add(localAdjust,\"m\")}if(offset!==input){if(!keepLocalTime||this._changeInProgress){addSubtract(this,createDuration(input-offset,\"m\"),1,false)}else if(!this._changeInProgress){this._changeInProgress=true;hooks.updateOffset(this,true);this._changeInProgress=null}}return this}else{return this._isUTC?offset:getDateOffset(this)}}function getSetZone(input,keepLocalTime){if(input!=null){if(typeof input!==\"string\"){input=-input}this.utcOffset(input,keepLocalTime);return this}else{return-this.utcOffset()}}function setOffsetToUTC(keepLocalTime){return this.utcOffset(0,keepLocalTime)}function setOffsetToLocal(keepLocalTime){if(this._isUTC){this.utcOffset(0,keepLocalTime);this._isUTC=false;if(keepLocalTime){this.subtract(getDateOffset(this),\"m\")}}return this}function setOffsetToParsedOffset(){if(this._tzm!=null){this.utcOffset(this._tzm,false,true)}else if(typeof this._i===\"string\"){var tZone=offsetFromString(matchOffset,this._i);if(tZone!=null){this.utcOffset(tZone)}else{this.utcOffset(0,true)}}return this}function hasAlignedHourOffset(input){if(!this.isValid()){return false}input=input?createLocal(input).utcOffset():0;return(this.utcOffset()-input)%60===0}function isDaylightSavingTime(){return this.utcOffset()>this.clone().month(0).utcOffset()||this.utcOffset()>this.clone().month(5).utcOffset()}function isDaylightSavingTimeShifted(){if(!isUndefined(this._isDSTShifted)){return this._isDSTShifted}var c={};copyConfig(c,this);c=prepareConfig(c);if(c._a){var other=c._isUTC?createUTC(c._a):createLocal(c._a);this._isDSTShifted=this.isValid()&&compareArrays(c._a,other.toArray())>0}else{this._isDSTShifted=false}return this._isDSTShifted}function isLocal(){return this.isValid()?!this._isUTC:false}function isUtcOffset(){return this.isValid()?this._isUTC:false}function isUtc(){return this.isValid()?this._isUTC&&this._offset===0:false}var aspNetRegex=/^(\\-|\\+)?(?:(\\d*)[. ])?(\\d+)\\:(\\d+)(?:\\:(\\d+)(\\.\\d*)?)?$/;var isoRegex=/^(-|\\+)?P(?:([-+]?[0-9,.]*)Y)?(?:([-+]?[0-9,.]*)M)?(?:([-+]?[0-9,.]*)W)?(?:([-+]?[0-9,.]*)D)?(?:T(?:([-+]?[0-9,.]*)H)?(?:([-+]?[0-9,.]*)M)?(?:([-+]?[0-9,.]*)S)?)?$/;function createDuration(input,key){var duration=input,match=null,sign,ret,diffRes;if(isDuration(input)){duration={ms:input._milliseconds,d:input._days,M:input._months}}else if(isNumber(input)){duration={};if(key){duration[key]=input}else{duration.milliseconds=input}}else if(!!(match=aspNetRegex.exec(input))){sign=match[1]===\"-\"?-1:1;duration={y:0,d:toInt(match[DATE])*sign,h:toInt(match[HOUR])*sign,m:toInt(match[MINUTE])*sign,s:toInt(match[SECOND])*sign,ms:toInt(absRound(match[MILLISECOND]*1e3))*sign}}else if(!!(match=isoRegex.exec(input))){sign=match[1]===\"-\"?-1:match[1]===\"+\"?1:1;duration={y:parseIso(match[2],sign),M:parseIso(match[3],sign),w:parseIso(match[4],sign),d:parseIso(match[5],sign),h:parseIso(match[6],sign),m:parseIso(match[7],sign),s:parseIso(match[8],sign)}}else if(duration==null){duration={}}else if(typeof duration===\"object\"&&(\"from\"in duration||\"to\"in duration)){diffRes=momentsDifference(createLocal(duration.from),createLocal(duration.to));duration={};duration.ms=diffRes.milliseconds;duration.M=diffRes.months}ret=new Duration(duration);if(isDuration(input)&&hasOwnProp(input,\"_locale\")){ret._locale=input._locale}return ret}createDuration.fn=Duration.prototype;createDuration.invalid=createInvalid$1;function parseIso(inp,sign){var res=inp&&parseFloat(inp.replace(\",\",\".\"));return(isNaN(res)?0:res)*sign}function positiveMomentsDifference(base,other){var res={milliseconds:0,months:0};res.months=other.month()-base.month()+(other.year()-base.year())*12;if(base.clone().add(res.months,\"M\").isAfter(other)){--res.months}res.milliseconds=+other-+base.clone().add(res.months,\"M\");return res}function momentsDifference(base,other){var res;if(!(base.isValid()&&other.isValid())){return{milliseconds:0,months:0}}other=cloneWithOffset(other,base);if(base.isBefore(other)){res=positiveMomentsDifference(base,other)}else{res=positiveMomentsDifference(other,base);res.milliseconds=-res.milliseconds;res.months=-res.months}return res}function createAdder(direction,name){return function(val,period){var dur,tmp;if(period!==null&&!isNaN(+period)){deprecateSimple(name,\"moment().\"+name+\"(period, number) is deprecated. Please use moment().\"+name+\"(number, period). \"+\"See http://momentjs.com/guides/#/warnings/add-inverted-param/ for more info.\");tmp=val;val=period;period=tmp}val=typeof val===\"string\"?+val:val;dur=createDuration(val,period);addSubtract(this,dur,direction);return this}}function addSubtract(mom,duration,isAdding,updateOffset){var milliseconds=duration._milliseconds,days=absRound(duration._days),months=absRound(duration._months);if(!mom.isValid()){return}updateOffset=updateOffset==null?true:updateOffset;if(months){setMonth(mom,get(mom,\"Month\")+months*isAdding)}if(days){set$1(mom,\"Date\",get(mom,\"Date\")+days*isAdding)}if(milliseconds){mom._d.setTime(mom._d.valueOf()+milliseconds*isAdding)}if(updateOffset){hooks.updateOffset(mom,days||months)}}var add=createAdder(1,\"add\");var subtract=createAdder(-1,\"subtract\");function getCalendarFormat(myMoment,now){var diff=myMoment.diff(now,\"days\",true);return diff<-6?\"sameElse\":diff<-1?\"lastWeek\":diff<0?\"lastDay\":diff<1?\"sameDay\":diff<2?\"nextDay\":diff<7?\"nextWeek\":\"sameElse\"}function calendar$1(time,formats){var now=time||createLocal(),sod=cloneWithOffset(now,this).startOf(\"day\"),format=hooks.calendarFormat(this,sod)||\"sameElse\";var output=formats&&(isFunction(formats[format])?formats[format].call(this,now):formats[format]);return this.format(output||this.localeData().calendar(format,this,createLocal(now)))}function clone(){return new Moment(this)}function isAfter(input,units){var localInput=isMoment(input)?input:createLocal(input);if(!(this.isValid()&&localInput.isValid())){return false}units=normalizeUnits(!isUndefined(units)?units:\"millisecond\");if(units===\"millisecond\"){return this.valueOf()>localInput.valueOf()}else{return localInput.valueOf()<this.clone().startOf(units).valueOf()}}function isBefore(input,units){var localInput=isMoment(input)?input:createLocal(input);if(!(this.isValid()&&localInput.isValid())){return false}units=normalizeUnits(!isUndefined(units)?units:\"millisecond\");if(units===\"millisecond\"){return this.valueOf()<localInput.valueOf()}else{return this.clone().endOf(units).valueOf()<localInput.valueOf()}}function isBetween(from,to,units,inclusivity){inclusivity=inclusivity||\"()\";return(inclusivity[0]===\"(\"?this.isAfter(from,units):!this.isBefore(from,units))&&(inclusivity[1]===\")\"?this.isBefore(to,units):!this.isAfter(to,units))}function isSame(input,units){var localInput=isMoment(input)?input:createLocal(input),inputMs;if(!(this.isValid()&&localInput.isValid())){return false}units=normalizeUnits(units||\"millisecond\");if(units===\"millisecond\"){return this.valueOf()===localInput.valueOf()}else{inputMs=localInput.valueOf();return this.clone().startOf(units).valueOf()<=inputMs&&inputMs<=this.clone().endOf(units).valueOf()}}function isSameOrAfter(input,units){return this.isSame(input,units)||this.isAfter(input,units)}function isSameOrBefore(input,units){return this.isSame(input,units)||this.isBefore(input,units)}function diff(input,units,asFloat){var that,zoneDelta,delta,output;if(!this.isValid()){return NaN}that=cloneWithOffset(input,this);if(!that.isValid()){return NaN}zoneDelta=(that.utcOffset()-this.utcOffset())*6e4;units=normalizeUnits(units);switch(units){case\"year\":output=monthDiff(this,that)/12;break;case\"month\":output=monthDiff(this,that);break;case\"quarter\":output=monthDiff(this,that)/3;break;case\"second\":output=(this-that)/1e3;break;case\"minute\":output=(this-that)/6e4;break;case\"hour\":output=(this-that)/36e5;break;case\"day\":output=(this-that-zoneDelta)/864e5;break;case\"week\":output=(this-that-zoneDelta)/6048e5;break;default:output=this-that}return asFloat?output:absFloor(output)}function monthDiff(a,b){var wholeMonthDiff=(b.year()-a.year())*12+(b.month()-a.month()),anchor=a.clone().add(wholeMonthDiff,\"months\"),anchor2,adjust;if(b-anchor<0){anchor2=a.clone().add(wholeMonthDiff-1,\"months\");adjust=(b-anchor)/(anchor-anchor2)}else{anchor2=a.clone().add(wholeMonthDiff+1,\"months\");adjust=(b-anchor)/(anchor2-anchor)}return-(wholeMonthDiff+adjust)||0}hooks.defaultFormat=\"YYYY-MM-DDTHH:mm:ssZ\";hooks.defaultFormatUtc=\"YYYY-MM-DDTHH:mm:ss[Z]\";function toString(){return this.clone().locale(\"en\").format(\"ddd MMM DD YYYY HH:mm:ss [GMT]ZZ\")}function toISOString(){if(!this.isValid()){return null}var m=this.clone().utc();if(m.year()<0||m.year()>9999){return formatMoment(m,\"YYYYYY-MM-DD[T]HH:mm:ss.SSS[Z]\")}if(isFunction(Date.prototype.toISOString)){return this.toDate().toISOString()}return formatMoment(m,\"YYYY-MM-DD[T]HH:mm:ss.SSS[Z]\")}function inspect(){if(!this.isValid()){return\"moment.invalid(/* \"+this._i+\" */)\"}var func=\"moment\";var zone=\"\";if(!this.isLocal()){func=this.utcOffset()===0?\"moment.utc\":\"moment.parseZone\";zone=\"Z\"}var prefix=\"[\"+func+'(\"]';var year=0<=this.year()&&this.year()<=9999?\"YYYY\":\"YYYYYY\";var datetime=\"-MM-DD[T]HH:mm:ss.SSS\";var suffix=zone+'[\")]';return this.format(prefix+year+datetime+suffix)}function format(inputString){if(!inputString){inputString=this.isUtc()?hooks.defaultFormatUtc:hooks.defaultFormat}var output=formatMoment(this,inputString);return this.localeData().postformat(output)}function from(time,withoutSuffix){if(this.isValid()&&(isMoment(time)&&time.isValid()||createLocal(time).isValid())){return createDuration({to:this,from:time}).locale(this.locale()).humanize(!withoutSuffix)}else{return this.localeData().invalidDate()}}function fromNow(withoutSuffix){return this.from(createLocal(),withoutSuffix)}function to(time,withoutSuffix){if(this.isValid()&&(isMoment(time)&&time.isValid()||createLocal(time).isValid())){return createDuration({from:this,to:time}).locale(this.locale()).humanize(!withoutSuffix)}else{return this.localeData().invalidDate()}}function toNow(withoutSuffix){return this.to(createLocal(),withoutSuffix)}function locale(key){var newLocaleData;if(key===undefined){return this._locale._abbr}else{newLocaleData=getLocale(key);if(newLocaleData!=null){this._locale=newLocaleData}return this}}var lang=deprecate(\"moment().lang() is deprecated. Instead, use moment().localeData() to get the language configuration. Use moment().locale() to change languages.\",function(key){if(key===undefined){return this.localeData()}else{return this.locale(key)}});function localeData(){return this._locale}function startOf(units){units=normalizeUnits(units);switch(units){case\"year\":this.month(0);case\"quarter\":case\"month\":this.date(1);case\"week\":case\"isoWeek\":case\"day\":case\"date\":this.hours(0);case\"hour\":this.minutes(0);case\"minute\":this.seconds(0);case\"second\":this.milliseconds(0)}if(units===\"week\"){this.weekday(0)}if(units===\"isoWeek\"){this.isoWeekday(1)}if(units===\"quarter\"){this.month(Math.floor(this.month()/3)*3)}return this}function endOf(units){units=normalizeUnits(units);if(units===undefined||units===\"millisecond\"){return this}if(units===\"date\"){units=\"day\"}return this.startOf(units).add(1,units===\"isoWeek\"?\"week\":units).subtract(1,\"ms\")}function valueOf(){return this._d.valueOf()-(this._offset||0)*6e4}function unix(){return Math.floor(this.valueOf()/1e3)}function toDate(){return new Date(this.valueOf())}function toArray(){var m=this;return[m.year(),m.month(),m.date(),m.hour(),m.minute(),m.second(),m.millisecond()]}function toObject(){var m=this;return{years:m.year(),months:m.month(),date:m.date(),hours:m.hours(),minutes:m.minutes(),seconds:m.seconds(),milliseconds:m.milliseconds()}}function toJSON(){return this.isValid()?this.toISOString():null}function isValid$2(){return isValid(this)}function parsingFlags(){return extend({},getParsingFlags(this))}function invalidAt(){return getParsingFlags(this).overflow}function creationData(){return{input:this._i,format:this._f,locale:this._locale,isUTC:this._isUTC,strict:this._strict}}addFormatToken(0,[\"gg\",2],0,function(){return this.weekYear()%100});addFormatToken(0,[\"GG\",2],0,function(){return this.isoWeekYear()%100});function addWeekYearFormatToken(token,getter){addFormatToken(0,[token,token.length],0,getter)}addWeekYearFormatToken(\"gggg\",\"weekYear\");addWeekYearFormatToken(\"ggggg\",\"weekYear\");addWeekYearFormatToken(\"GGGG\",\"isoWeekYear\");addWeekYearFormatToken(\"GGGGG\",\"isoWeekYear\");addUnitAlias(\"weekYear\",\"gg\");addUnitAlias(\"isoWeekYear\",\"GG\");addUnitPriority(\"weekYear\",1);addUnitPriority(\"isoWeekYear\",1);addRegexToken(\"G\",matchSigned);addRegexToken(\"g\",matchSigned);addRegexToken(\"GG\",match1to2,match2);addRegexToken(\"gg\",match1to2,match2);addRegexToken(\"GGGG\",match1to4,match4);addRegexToken(\"gggg\",match1to4,match4);addRegexToken(\"GGGGG\",match1to6,match6);addRegexToken(\"ggggg\",match1to6,match6);addWeekParseToken([\"gggg\",\"ggggg\",\"GGGG\",\"GGGGG\"],function(input,week,config,token){week[token.substr(0,2)]=toInt(input)});addWeekParseToken([\"gg\",\"GG\"],function(input,week,config,token){week[token]=hooks.parseTwoDigitYear(input)});function getSetWeekYear(input){return getSetWeekYearHelper.call(this,input,this.week(),this.weekday(),this.localeData()._week.dow,this.localeData()._week.doy)}function getSetISOWeekYear(input){return getSetWeekYearHelper.call(this,input,this.isoWeek(),this.isoWeekday(),1,4)}function getISOWeeksInYear(){return weeksInYear(this.year(),1,4)}function getWeeksInYear(){var weekInfo=this.localeData()._week;return weeksInYear(this.year(),weekInfo.dow,weekInfo.doy)}function getSetWeekYearHelper(input,week,weekday,dow,doy){var weeksTarget;if(input==null){return weekOfYear(this,dow,doy).year}else{weeksTarget=weeksInYear(input,dow,doy);if(week>weeksTarget){week=weeksTarget}return setWeekAll.call(this,input,week,weekday,dow,doy)}}function setWeekAll(weekYear,week,weekday,dow,doy){var dayOfYearData=dayOfYearFromWeeks(weekYear,week,weekday,dow,doy),date=createUTCDate(dayOfYearData.year,0,dayOfYearData.dayOfYear);this.year(date.getUTCFullYear());this.month(date.getUTCMonth());this.date(date.getUTCDate());return this}addFormatToken(\"Q\",0,\"Qo\",\"quarter\");addUnitAlias(\"quarter\",\"Q\");addUnitPriority(\"quarter\",7);addRegexToken(\"Q\",match1);addParseToken(\"Q\",function(input,array){array[MONTH]=(toInt(input)-1)*3});function getSetQuarter(input){return input==null?Math.ceil((this.month()+1)/3):this.month((input-1)*3+this.month()%3)}addFormatToken(\"D\",[\"DD\",2],\"Do\",\"date\");addUnitAlias(\"date\",\"D\");addUnitPriority(\"date\",9);addRegexToken(\"D\",match1to2);addRegexToken(\"DD\",match1to2,match2);addRegexToken(\"Do\",function(isStrict,locale){return isStrict?locale._dayOfMonthOrdinalParse||locale._ordinalParse:locale._dayOfMonthOrdinalParseLenient});addParseToken([\"D\",\"DD\"],DATE);addParseToken(\"Do\",function(input,array){array[DATE]=toInt(input.match(match1to2)[0],10)});var getSetDayOfMonth=makeGetSet(\"Date\",true);addFormatToken(\"DDD\",[\"DDDD\",3],\"DDDo\",\"dayOfYear\");addUnitAlias(\"dayOfYear\",\"DDD\");addUnitPriority(\"dayOfYear\",4);addRegexToken(\"DDD\",match1to3);addRegexToken(\"DDDD\",match3);addParseToken([\"DDD\",\"DDDD\"],function(input,array,config){config._dayOfYear=toInt(input)});function getSetDayOfYear(input){var dayOfYear=Math.round((this.clone().startOf(\"day\")-this.clone().startOf(\"year\"))/864e5)+1;return input==null?dayOfYear:this.add(input-dayOfYear,\"d\")}addFormatToken(\"m\",[\"mm\",2],0,\"minute\");addUnitAlias(\"minute\",\"m\");addUnitPriority(\"minute\",14);addRegexToken(\"m\",match1to2);addRegexToken(\"mm\",match1to2,match2);addParseToken([\"m\",\"mm\"],MINUTE);var getSetMinute=makeGetSet(\"Minutes\",false);addFormatToken(\"s\",[\"ss\",2],0,\"second\");addUnitAlias(\"second\",\"s\");addUnitPriority(\"second\",15);addRegexToken(\"s\",match1to2);addRegexToken(\"ss\",match1to2,match2);addParseToken([\"s\",\"ss\"],SECOND);var getSetSecond=makeGetSet(\"Seconds\",false);addFormatToken(\"S\",0,0,function(){return~~(this.millisecond()/100)});addFormatToken(0,[\"SS\",2],0,function(){return~~(this.millisecond()/10)});addFormatToken(0,[\"SSS\",3],0,\"millisecond\");addFormatToken(0,[\"SSSS\",4],0,function(){return this.millisecond()*10});addFormatToken(0,[\"SSSSS\",5],0,function(){return this.millisecond()*100});addFormatToken(0,[\"SSSSSS\",6],0,function(){return this.millisecond()*1e3});addFormatToken(0,[\"SSSSSSS\",7],0,function(){return this.millisecond()*1e4});addFormatToken(0,[\"SSSSSSSS\",8],0,function(){return this.millisecond()*1e5});addFormatToken(0,[\"SSSSSSSSS\",9],0,function(){return this.millisecond()*1e6});addUnitAlias(\"millisecond\",\"ms\");addUnitPriority(\"millisecond\",16);addRegexToken(\"S\",match1to3,match1);addRegexToken(\"SS\",match1to3,match2);addRegexToken(\"SSS\",match1to3,match3);var token;for(token=\"SSSS\";token.length<=9;token+=\"S\"){addRegexToken(token,matchUnsigned)}function parseMs(input,array){array[MILLISECOND]=toInt((\"0.\"+input)*1e3)}for(token=\"S\";token.length<=9;token+=\"S\"){addParseToken(token,parseMs)}var getSetMillisecond=makeGetSet(\"Milliseconds\",false);addFormatToken(\"z\",0,0,\"zoneAbbr\");addFormatToken(\"zz\",0,0,\"zoneName\");function getZoneAbbr(){return this._isUTC?\"UTC\":\"\"}function getZoneName(){return this._isUTC?\"Coordinated Universal Time\":\"\"}var proto=Moment.prototype;proto.add=add;proto.calendar=calendar$1;proto.clone=clone;proto.diff=diff;proto.endOf=endOf;proto.format=format;proto.from=from;proto.fromNow=fromNow;proto.to=to;proto.toNow=toNow;proto.get=stringGet;proto.invalidAt=invalidAt;proto.isAfter=isAfter;proto.isBefore=isBefore;proto.isBetween=isBetween;proto.isSame=isSame;proto.isSameOrAfter=isSameOrAfter;proto.isSameOrBefore=isSameOrBefore;proto.isValid=isValid$2;proto.lang=lang;proto.locale=locale;proto.localeData=localeData;proto.max=prototypeMax;proto.min=prototypeMin;proto.parsingFlags=parsingFlags;proto.set=stringSet;proto.startOf=startOf;proto.subtract=subtract;proto.toArray=toArray;proto.toObject=toObject;proto.toDate=toDate;proto.toISOString=toISOString;proto.inspect=inspect;proto.toJSON=toJSON;proto.toString=toString;proto.unix=unix;proto.valueOf=valueOf;proto.creationData=creationData;proto.year=getSetYear;proto.isLeapYear=getIsLeapYear;proto.weekYear=getSetWeekYear;proto.isoWeekYear=getSetISOWeekYear;proto.quarter=proto.quarters=getSetQuarter;proto.month=getSetMonth;proto.daysInMonth=getDaysInMonth;proto.week=proto.weeks=getSetWeek;proto.isoWeek=proto.isoWeeks=getSetISOWeek;proto.weeksInYear=getWeeksInYear;proto.isoWeeksInYear=getISOWeeksInYear;proto.date=getSetDayOfMonth;proto.day=proto.days=getSetDayOfWeek;proto.weekday=getSetLocaleDayOfWeek;proto.isoWeekday=getSetISODayOfWeek;proto.dayOfYear=getSetDayOfYear;proto.hour=proto.hours=getSetHour;proto.minute=proto.minutes=getSetMinute;proto.second=proto.seconds=getSetSecond;proto.millisecond=proto.milliseconds=getSetMillisecond;proto.utcOffset=getSetOffset;proto.utc=setOffsetToUTC;proto.local=setOffsetToLocal;proto.parseZone=setOffsetToParsedOffset;proto.hasAlignedHourOffset=hasAlignedHourOffset;proto.isDST=isDaylightSavingTime;proto.isLocal=isLocal;proto.isUtcOffset=isUtcOffset;proto.isUtc=isUtc;proto.isUTC=isUtc;proto.zoneAbbr=getZoneAbbr;proto.zoneName=getZoneName;proto.dates=deprecate(\"dates accessor is deprecated. Use date instead.\",getSetDayOfMonth);proto.months=deprecate(\"months accessor is deprecated. Use month instead\",getSetMonth);proto.years=deprecate(\"years accessor is deprecated. Use year instead\",getSetYear);proto.zone=deprecate(\"moment().zone is deprecated, use moment().utcOffset instead. http://momentjs.com/guides/#/warnings/zone/\",getSetZone);proto.isDSTShifted=deprecate(\"isDSTShifted is deprecated. See http://momentjs.com/guides/#/warnings/dst-shifted/ for more information\",isDaylightSavingTimeShifted);function createUnix(input){return createLocal(input*1e3)}function createInZone(){return createLocal.apply(null,arguments).parseZone()}function preParsePostFormat(string){return string}var proto$1=Locale.prototype;proto$1.calendar=calendar;proto$1.longDateFormat=longDateFormat;proto$1.invalidDate=invalidDate;proto$1.ordinal=ordinal;proto$1.preparse=preParsePostFormat;proto$1.postformat=preParsePostFormat;proto$1.relativeTime=relativeTime;proto$1.pastFuture=pastFuture;proto$1.set=set;proto$1.months=localeMonths;proto$1.monthsShort=localeMonthsShort;proto$1.monthsParse=localeMonthsParse;proto$1.monthsRegex=monthsRegex;proto$1.monthsShortRegex=monthsShortRegex;proto$1.week=localeWeek;proto$1.firstDayOfYear=localeFirstDayOfYear;proto$1.firstDayOfWeek=localeFirstDayOfWeek;proto$1.weekdays=localeWeekdays;proto$1.weekdaysMin=localeWeekdaysMin;proto$1.weekdaysShort=localeWeekdaysShort;proto$1.weekdaysParse=localeWeekdaysParse;proto$1.weekdaysRegex=weekdaysRegex;proto$1.weekdaysShortRegex=weekdaysShortRegex;proto$1.weekdaysMinRegex=weekdaysMinRegex;proto$1.isPM=localeIsPM;proto$1.meridiem=localeMeridiem;function get$1(format,index,field,setter){var locale=getLocale();var utc=createUTC().set(setter,index);return locale[field](utc,format)}function listMonthsImpl(format,index,field){if(isNumber(format)){index=format;format=undefined}format=format||\"\";if(index!=null){return get$1(format,index,field,\"month\")}var i;var out=[];for(i=0;i<12;i++){out[i]=get$1(format,i,field,\"month\")}return out}function listWeekdaysImpl(localeSorted,format,index,field){if(typeof localeSorted===\"boolean\"){if(isNumber(format)){index=format;format=undefined}format=format||\"\"}else{format=localeSorted;index=format;localeSorted=false;if(isNumber(format)){index=format;format=undefined}format=format||\"\"}var locale=getLocale(),shift=localeSorted?locale._week.dow:0;if(index!=null){return get$1(format,(index+shift)%7,field,\"day\")}var i;var out=[];for(i=0;i<7;i++){out[i]=get$1(format,(i+shift)%7,field,\"day\")}return out}function listMonths(format,index){return listMonthsImpl(format,index,\"months\")}function listMonthsShort(format,index){return listMonthsImpl(format,index,\"monthsShort\")}function listWeekdays(localeSorted,format,index){return listWeekdaysImpl(localeSorted,format,index,\"weekdays\")}function listWeekdaysShort(localeSorted,format,index){return listWeekdaysImpl(localeSorted,format,index,\"weekdaysShort\")}function listWeekdaysMin(localeSorted,format,index){return listWeekdaysImpl(localeSorted,format,index,\"weekdaysMin\")}getSetGlobalLocale(\"en\",{dayOfMonthOrdinalParse:/\\d{1,2}(th|st|nd|rd)/,ordinal:function(number){var b=number%10,output=toInt(number%100/10)===1?\"th\":b===1?\"st\":b===2?\"nd\":b===3?\"rd\":\"th\";return number+output}});hooks.lang=deprecate(\"moment.lang is deprecated. Use moment.locale instead.\",getSetGlobalLocale);hooks.langData=deprecate(\"moment.langData is deprecated. Use moment.localeData instead.\",getLocale);var mathAbs=Math.abs;function abs(){var data=this._data;this._milliseconds=mathAbs(this._milliseconds);this._days=mathAbs(this._days);this._months=mathAbs(this._months);data.milliseconds=mathAbs(data.milliseconds);data.seconds=mathAbs(data.seconds);data.minutes=mathAbs(data.minutes);data.hours=mathAbs(data.hours);data.months=mathAbs(data.months);data.years=mathAbs(data.years);return this}function addSubtract$1(duration,input,value,direction){var other=createDuration(input,value);duration._milliseconds+=direction*other._milliseconds;duration._days+=direction*other._days;duration._months+=direction*other._months;return duration._bubble()}function add$1(input,value){return addSubtract$1(this,input,value,1)}function subtract$1(input,value){return addSubtract$1(this,input,value,-1)}function absCeil(number){if(number<0){return Math.floor(number)}else{return Math.ceil(number)}}function bubble(){var milliseconds=this._milliseconds;var days=this._days;var months=this._months;var data=this._data;var seconds,minutes,hours,years,monthsFromDays;if(!(milliseconds>=0&&days>=0&&months>=0||milliseconds<=0&&days<=0&&months<=0)){milliseconds+=absCeil(monthsToDays(months)+days)*864e5;days=0;months=0}data.milliseconds=milliseconds%1e3;seconds=absFloor(milliseconds/1e3);data.seconds=seconds%60;minutes=absFloor(seconds/60)\n;data.minutes=minutes%60;hours=absFloor(minutes/60);data.hours=hours%24;days+=absFloor(hours/24);monthsFromDays=absFloor(daysToMonths(days));months+=monthsFromDays;days-=absCeil(monthsToDays(monthsFromDays));years=absFloor(months/12);months%=12;data.days=days;data.months=months;data.years=years;return this}function daysToMonths(days){return days*4800/146097}function monthsToDays(months){return months*146097/4800}function as(units){if(!this.isValid()){return NaN}var days;var months;var milliseconds=this._milliseconds;units=normalizeUnits(units);if(units===\"month\"||units===\"year\"){days=this._days+milliseconds/864e5;months=this._months+daysToMonths(days);return units===\"month\"?months:months/12}else{days=this._days+Math.round(monthsToDays(this._months));switch(units){case\"week\":return days/7+milliseconds/6048e5;case\"day\":return days+milliseconds/864e5;case\"hour\":return days*24+milliseconds/36e5;case\"minute\":return days*1440+milliseconds/6e4;case\"second\":return days*86400+milliseconds/1e3;case\"millisecond\":return Math.floor(days*864e5)+milliseconds;default:throw new Error(\"Unknown unit \"+units)}}}function valueOf$1(){if(!this.isValid()){return NaN}return this._milliseconds+this._days*864e5+this._months%12*2592e6+toInt(this._months/12)*31536e6}function makeAs(alias){return function(){return this.as(alias)}}var asMilliseconds=makeAs(\"ms\");var asSeconds=makeAs(\"s\");var asMinutes=makeAs(\"m\");var asHours=makeAs(\"h\");var asDays=makeAs(\"d\");var asWeeks=makeAs(\"w\");var asMonths=makeAs(\"M\");var asYears=makeAs(\"y\");function clone$1(){return createDuration(this)}function get$2(units){units=normalizeUnits(units);return this.isValid()?this[units+\"s\"]():NaN}function makeGetter(name){return function(){return this.isValid()?this._data[name]:NaN}}var milliseconds=makeGetter(\"milliseconds\");var seconds=makeGetter(\"seconds\");var minutes=makeGetter(\"minutes\");var hours=makeGetter(\"hours\");var days=makeGetter(\"days\");var months=makeGetter(\"months\");var years=makeGetter(\"years\");function weeks(){return absFloor(this.days()/7)}var round=Math.round;var thresholds={ss:44,s:45,m:45,h:22,d:26,M:11};function substituteTimeAgo(string,number,withoutSuffix,isFuture,locale){return locale.relativeTime(number||1,!!withoutSuffix,string,isFuture)}function relativeTime$1(posNegDuration,withoutSuffix,locale){var duration=createDuration(posNegDuration).abs();var seconds=round(duration.as(\"s\"));var minutes=round(duration.as(\"m\"));var hours=round(duration.as(\"h\"));var days=round(duration.as(\"d\"));var months=round(duration.as(\"M\"));var years=round(duration.as(\"y\"));var a=seconds<=thresholds.ss&&[\"s\",seconds]||seconds<thresholds.s&&[\"ss\",seconds]||minutes<=1&&[\"m\"]||minutes<thresholds.m&&[\"mm\",minutes]||hours<=1&&[\"h\"]||hours<thresholds.h&&[\"hh\",hours]||days<=1&&[\"d\"]||days<thresholds.d&&[\"dd\",days]||months<=1&&[\"M\"]||months<thresholds.M&&[\"MM\",months]||years<=1&&[\"y\"]||[\"yy\",years];a[2]=withoutSuffix;a[3]=+posNegDuration>0;a[4]=locale;return substituteTimeAgo.apply(null,a)}function getSetRelativeTimeRounding(roundingFunction){if(roundingFunction===undefined){return round}if(typeof roundingFunction===\"function\"){round=roundingFunction;return true}return false}function getSetRelativeTimeThreshold(threshold,limit){if(thresholds[threshold]===undefined){return false}if(limit===undefined){return thresholds[threshold]}thresholds[threshold]=limit;if(threshold===\"s\"){thresholds.ss=limit-1}return true}function humanize(withSuffix){if(!this.isValid()){return this.localeData().invalidDate()}var locale=this.localeData();var output=relativeTime$1(this,!withSuffix,locale);if(withSuffix){output=locale.pastFuture(+this,output)}return locale.postformat(output)}var abs$1=Math.abs;function sign(x){return(x>0)-(x<0)||+x}function toISOString$1(){if(!this.isValid()){return this.localeData().invalidDate()}var seconds=abs$1(this._milliseconds)/1e3;var days=abs$1(this._days);var months=abs$1(this._months);var minutes,hours,years;minutes=absFloor(seconds/60);hours=absFloor(minutes/60);seconds%=60;minutes%=60;years=absFloor(months/12);months%=12;var Y=years;var M=months;var D=days;var h=hours;var m=minutes;var s=seconds?seconds.toFixed(3).replace(/\\.?0+$/,\"\"):\"\";var total=this.asSeconds();if(!total){return\"P0D\"}var totalSign=total<0?\"-\":\"\";var ymSign=sign(this._months)!==sign(total)?\"-\":\"\";var daysSign=sign(this._days)!==sign(total)?\"-\":\"\";var hmsSign=sign(this._milliseconds)!==sign(total)?\"-\":\"\";return totalSign+\"P\"+(Y?ymSign+Y+\"Y\":\"\")+(M?ymSign+M+\"M\":\"\")+(D?daysSign+D+\"D\":\"\")+(h||m||s?\"T\":\"\")+(h?hmsSign+h+\"H\":\"\")+(m?hmsSign+m+\"M\":\"\")+(s?hmsSign+s+\"S\":\"\")}var proto$2=Duration.prototype;proto$2.isValid=isValid$1;proto$2.abs=abs;proto$2.add=add$1;proto$2.subtract=subtract$1;proto$2.as=as;proto$2.asMilliseconds=asMilliseconds;proto$2.asSeconds=asSeconds;proto$2.asMinutes=asMinutes;proto$2.asHours=asHours;proto$2.asDays=asDays;proto$2.asWeeks=asWeeks;proto$2.asMonths=asMonths;proto$2.asYears=asYears;proto$2.valueOf=valueOf$1;proto$2._bubble=bubble;proto$2.clone=clone$1;proto$2.get=get$2;proto$2.milliseconds=milliseconds;proto$2.seconds=seconds;proto$2.minutes=minutes;proto$2.hours=hours;proto$2.days=days;proto$2.weeks=weeks;proto$2.months=months;proto$2.years=years;proto$2.humanize=humanize;proto$2.toISOString=toISOString$1;proto$2.toString=toISOString$1;proto$2.toJSON=toISOString$1;proto$2.locale=locale;proto$2.localeData=localeData;proto$2.toIsoString=deprecate(\"toIsoString() is deprecated. Please use toISOString() instead (notice the capitals)\",toISOString$1);proto$2.lang=lang;addFormatToken(\"X\",0,0,\"unix\");addFormatToken(\"x\",0,0,\"valueOf\");addRegexToken(\"x\",matchSigned);addRegexToken(\"X\",matchTimestamp);addParseToken(\"X\",function(input,array,config){config._d=new Date(parseFloat(input,10)*1e3)});addParseToken(\"x\",function(input,array,config){config._d=new Date(toInt(input))});hooks.version=\"2.19.1\";setHookCallback(createLocal);hooks.fn=proto;hooks.min=min;hooks.max=max;hooks.now=now;hooks.utc=createUTC;hooks.unix=createUnix;hooks.months=listMonths;hooks.isDate=isDate;hooks.locale=getSetGlobalLocale;hooks.invalid=createInvalid;hooks.duration=createDuration;hooks.isMoment=isMoment;hooks.weekdays=listWeekdays;hooks.parseZone=createInZone;hooks.localeData=getLocale;hooks.isDuration=isDuration;hooks.monthsShort=listMonthsShort;hooks.weekdaysMin=listWeekdaysMin;hooks.defineLocale=defineLocale;hooks.updateLocale=updateLocale;hooks.locales=listLocales;hooks.weekdaysShort=listWeekdaysShort;hooks.normalizeUnits=normalizeUnits;hooks.relativeTimeRounding=getSetRelativeTimeRounding;hooks.relativeTimeThreshold=getSetRelativeTimeThreshold;hooks.calendarFormat=getCalendarFormat;hooks.prototype=proto;return hooks})}).call(exports,__webpack_require__(155)(module))},function(module,exports){module.exports=function(module){if(!module.webpackPolyfill){module.deprecate=function(){};module.paths=[];if(!module.children)module.children=[];Object.defineProperty(module,\"loaded\",{enumerable:true,get:function(){return module.l}});Object.defineProperty(module,\"id\",{enumerable:true,get:function(){return module.i}});module.webpackPolyfill=1}return module}},function(module,exports){function webpackEmptyContext(req){throw new Error(\"Cannot find module '\"+req+\"'.\")}webpackEmptyContext.keys=function(){return[]};webpackEmptyContext.resolve=webpackEmptyContext;module.exports=webpackEmptyContext;webpackEmptyContext.id=156},function(module,exports,__webpack_require__){\"use strict\";(function(global){var _rng;var globalVar=typeof window!==\"undefined\"?window:typeof global!==\"undefined\"?global:null;if(globalVar&&globalVar.crypto&&crypto.getRandomValues){var _rnds8=new Uint8Array(16);_rng=function whatwgRNG(){crypto.getRandomValues(_rnds8);return _rnds8}}if(!_rng){var _rnds=new Array(16);_rng=function _rng(){for(var i=0,r;i<16;i++){if((i&3)===0)r=Math.random()*4294967296;_rnds[i]=r>>>((i&3)<<3)&255}return _rnds}}var _byteToHex=[];var _hexToByte={};for(var i=0;i<256;i++){_byteToHex[i]=(i+256).toString(16).substr(1);_hexToByte[_byteToHex[i]]=i}function parse(s,buf,offset){var i=buf&&offset||0,ii=0;buf=buf||[];s.toLowerCase().replace(/[0-9a-f]{2}/g,function(oct){if(ii<16){buf[i+ii++]=_hexToByte[oct]}});while(ii<16){buf[i+ii++]=0}return buf}function unparse(buf,offset){var i=offset||0,bth=_byteToHex;return bth[buf[i++]]+bth[buf[i++]]+bth[buf[i++]]+bth[buf[i++]]+\"-\"+bth[buf[i++]]+bth[buf[i++]]+\"-\"+bth[buf[i++]]+bth[buf[i++]]+\"-\"+bth[buf[i++]]+bth[buf[i++]]+\"-\"+bth[buf[i++]]+bth[buf[i++]]+bth[buf[i++]]+bth[buf[i++]]+bth[buf[i++]]+bth[buf[i++]]}var _seedBytes=_rng();var _nodeId=[_seedBytes[0]|1,_seedBytes[1],_seedBytes[2],_seedBytes[3],_seedBytes[4],_seedBytes[5]];var _clockseq=(_seedBytes[6]<<8|_seedBytes[7])&16383;var _lastMSecs=0,_lastNSecs=0;function v1(options,buf,offset){var i=buf&&offset||0;var b=buf||[];options=options||{};var clockseq=options.clockseq!==undefined?options.clockseq:_clockseq;var msecs=options.msecs!==undefined?options.msecs:(new Date).getTime();var nsecs=options.nsecs!==undefined?options.nsecs:_lastNSecs+1;var dt=msecs-_lastMSecs+(nsecs-_lastNSecs)/1e4;if(dt<0&&options.clockseq===undefined){clockseq=clockseq+1&16383}if((dt<0||msecs>_lastMSecs)&&options.nsecs===undefined){nsecs=0}if(nsecs>=1e4){throw new Error(\"uuid.v1(): Can't create more than 10M uuids/sec\")}_lastMSecs=msecs;_lastNSecs=nsecs;_clockseq=clockseq;msecs+=122192928e5;var tl=((msecs&268435455)*1e4+nsecs)%4294967296;b[i++]=tl>>>24&255;b[i++]=tl>>>16&255;b[i++]=tl>>>8&255;b[i++]=tl&255;var tmh=msecs/4294967296*1e4&268435455;b[i++]=tmh>>>8&255;b[i++]=tmh&255;b[i++]=tmh>>>24&15|16;b[i++]=tmh>>>16&255;b[i++]=clockseq>>>8|128;b[i++]=clockseq&255;var node=options.node||_nodeId;for(var n=0;n<6;n++){b[i+n]=node[n]}return buf?buf:unparse(b)}function v4(options,buf,offset){var i=buf&&offset||0;if(typeof options==\"string\"){buf=options==\"binary\"?new Array(16):null;options=null}options=options||{};var rnds=options.random||(options.rng||_rng)();rnds[6]=rnds[6]&15|64;rnds[8]=rnds[8]&63|128;if(buf){for(var ii=0;ii<16;ii++){buf[i+ii]=rnds[ii]}}return buf||unparse(rnds)}var uuid=v4;uuid.v1=v1;uuid.v4=v4;uuid.parse=parse;uuid.unparse=unparse;module.exports=uuid}).call(exports,__webpack_require__(158))},function(module,exports){var g;g=function(){return this}();try{g=g||Function(\"return this\")()||(1,eval)(\"this\")}catch(e){if(typeof window===\"object\")g=window}module.exports=g},function(module,exports,__webpack_require__){\"use strict\";exports.util=__webpack_require__(2);exports.DOMutil=__webpack_require__(14);exports.DataSet=__webpack_require__(11);exports.DataView=__webpack_require__(12);exports.Queue=__webpack_require__(43);exports.Graph3d=__webpack_require__(161);exports.graph3d={Camera:__webpack_require__(95),Filter:__webpack_require__(96),Point2d:__webpack_require__(91),Point3d:__webpack_require__(34),Slider:__webpack_require__(92),StepNumber:__webpack_require__(93)};exports.moment=__webpack_require__(9);exports.Hammer=__webpack_require__(10);exports.keycharm=__webpack_require__(35)},function(module,exports,__webpack_require__){var core=__webpack_require__(7);var $JSON=core.JSON||(core.JSON={stringify:JSON.stringify});module.exports=function stringify(it){return $JSON.stringify.apply($JSON,arguments)}},function(module,exports,__webpack_require__){\"use strict\";var _assign=__webpack_require__(90);var _assign2=_interopRequireDefault(_assign);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Emitter=__webpack_require__(44);var util=__webpack_require__(2);var Point3d=__webpack_require__(34);var Point2d=__webpack_require__(91);var Slider=__webpack_require__(92);var StepNumber=__webpack_require__(93);var Settings=__webpack_require__(94);var Validator=__webpack_require__(15)[\"default\"];var _require=__webpack_require__(15),printStyle=_require.printStyle;var _require2=__webpack_require__(172),allOptions=_require2.allOptions;var DataGroup=__webpack_require__(173);Graph3d.STYLE=Settings.STYLE;var autoByDefault=undefined;Graph3d.DEFAULTS={width:\"400px\",height:\"400px\",filterLabel:\"time\",legendLabel:\"value\",xLabel:\"x\",yLabel:\"y\",zLabel:\"z\",xValueLabel:function xValueLabel(v){return v},yValueLabel:function yValueLabel(v){return v},zValueLabel:function zValueLabel(v){return v},showXAxis:true,showYAxis:true,showZAxis:true,showGrid:true,showPerspective:true,showShadow:false,keepAspectRatio:true,verticalRatio:.5,dotSizeRatio:.02,dotSizeMinFraction:.5,dotSizeMaxFraction:2.5,showAnimationControls:autoByDefault,animationInterval:1e3,animationPreload:false,animationAutoStart:autoByDefault,axisColor:\"#4D4D4D\",gridColor:\"#D3D3D3\",xCenter:\"55%\",yCenter:\"50%\",style:Graph3d.STYLE.DOT,tooltip:false,tooltipStyle:{content:{padding:\"10px\",border:\"1px solid #4d4d4d\",color:\"#1a1a1a\",background:\"rgba(255,255,255,0.7)\",borderRadius:\"2px\",boxShadow:\"5px 5px 10px rgba(128,128,128,0.5)\"},line:{height:\"40px\",width:\"0\",borderLeft:\"1px solid #4d4d4d\"},dot:{height:\"0\",width:\"0\",border:\"5px solid #4d4d4d\",borderRadius:\"5px\"}},dataColor:{fill:\"#7DC1FF\",stroke:\"#3267D2\",strokeWidth:1},cameraPosition:{horizontal:1,vertical:.5,distance:1.7},showLegend:autoByDefault,backgroundColor:autoByDefault,xBarWidth:autoByDefault,yBarWidth:autoByDefault,valueMin:autoByDefault,valueMax:autoByDefault,xMin:autoByDefault,xMax:autoByDefault,xStep:autoByDefault,yMin:autoByDefault,yMax:autoByDefault,yStep:autoByDefault,zMin:autoByDefault,zMax:autoByDefault,zStep:autoByDefault};function Graph3d(container,data,options){if(!(this instanceof Graph3d)){throw new SyntaxError(\"Constructor must be called with the new operator\")}this.containerElement=container;this.dataGroup=new DataGroup;this.dataPoints=null;this.create();Settings.setDefaults(Graph3d.DEFAULTS,this);this.colX=undefined;this.colY=undefined;this.colZ=undefined;this.colValue=undefined;this.setOptions(options);this.setData(data)}Emitter(Graph3d.prototype);Graph3d.prototype._setScale=function(){this.scale=new Point3d(1/this.xRange.range(),1/this.yRange.range(),1/this.zRange.range());if(this.keepAspectRatio){if(this.scale.x<this.scale.y){this.scale.y=this.scale.x}else{this.scale.x=this.scale.y}}this.scale.z*=this.verticalRatio;if(this.valueRange!==undefined){this.scale.value=1/this.valueRange.range()}var xCenter=this.xRange.center()*this.scale.x;var yCenter=this.yRange.center()*this.scale.y;var zCenter=this.zRange.center()*this.scale.z;this.camera.setArmLocation(xCenter,yCenter,zCenter)};Graph3d.prototype._convert3Dto2D=function(point3d){var translation=this._convertPointToTranslation(point3d);return this._convertTranslationToScreen(translation)};Graph3d.prototype._convertPointToTranslation=function(point3d){var cameraLocation=this.camera.getCameraLocation(),cameraRotation=this.camera.getCameraRotation(),ax=point3d.x*this.scale.x,ay=point3d.y*this.scale.y,az=point3d.z*this.scale.z,cx=cameraLocation.x,cy=cameraLocation.y,cz=cameraLocation.z,sinTx=Math.sin(cameraRotation.x),cosTx=Math.cos(cameraRotation.x),sinTy=Math.sin(cameraRotation.y),cosTy=Math.cos(cameraRotation.y),sinTz=Math.sin(cameraRotation.z),cosTz=Math.cos(cameraRotation.z),dx=cosTy*(sinTz*(ay-cy)+cosTz*(ax-cx))-sinTy*(az-cz),dy=sinTx*(cosTy*(az-cz)+sinTy*(sinTz*(ay-cy)+cosTz*(ax-cx)))+cosTx*(cosTz*(ay-cy)-sinTz*(ax-cx)),dz=cosTx*(cosTy*(az-cz)+sinTy*(sinTz*(ay-cy)+cosTz*(ax-cx)))-sinTx*(cosTz*(ay-cy)-sinTz*(ax-cx));return new Point3d(dx,dy,dz)};Graph3d.prototype._convertTranslationToScreen=function(translation){var ex=this.eye.x,ey=this.eye.y,ez=this.eye.z,dx=translation.x,dy=translation.y,dz=translation.z;var bx;var by;if(this.showPerspective){bx=(dx-ex)*(ez/dz);by=(dy-ey)*(ez/dz)}else{bx=dx*-(ez/this.camera.getArmLength());by=dy*-(ez/this.camera.getArmLength())}return new Point2d(this.currentXCenter+bx*this.frame.canvas.clientWidth,this.currentYCenter-by*this.frame.canvas.clientWidth)};Graph3d.prototype._calcTranslations=function(points){for(var i=0;i<points.length;i++){var point=points[i];point.trans=this._convertPointToTranslation(point.point);point.screen=this._convertTranslationToScreen(point.trans);var transBottom=this._convertPointToTranslation(point.bottom);point.dist=this.showPerspective?transBottom.length():-transBottom.z}var sortDepth=function sortDepth(a,b){return b.dist-a.dist};points.sort(sortDepth)};Graph3d.prototype._initializeRanges=function(){var dg=this.dataGroup;this.xRange=dg.xRange;this.yRange=dg.yRange;this.zRange=dg.zRange;this.valueRange=dg.valueRange;this.xStep=dg.xStep;this.yStep=dg.yStep;this.zStep=dg.zStep;this.xBarWidth=dg.xBarWidth;this.yBarWidth=dg.yBarWidth;this.colX=dg.colX;this.colY=dg.colY;this.colZ=dg.colZ;this.colValue=dg.colValue;this._setScale()};Graph3d.prototype.getDataPoints=function(data){var dataPoints=[];for(var i=0;i<data.length;i++){var point=new Point3d;point.x=data[i][this.colX]||0;point.y=data[i][this.colY]||0;point.z=data[i][this.colZ]||0;point.data=data[i];if(this.colValue!==undefined){point.value=data[i][this.colValue]||0}var obj={};obj.point=point;obj.bottom=new Point3d(point.x,point.y,this.zRange.min);obj.trans=undefined;obj.screen=undefined;dataPoints.push(obj)}return dataPoints};Graph3d.prototype._getDataPoints=function(data){var x,y,i,obj;var dataPoints=[];if(this.style===Graph3d.STYLE.GRID||this.style===Graph3d.STYLE.SURFACE){var dataX=this.dataGroup.getDistinctValues(this.colX,data);var dataY=this.dataGroup.getDistinctValues(this.colY,data);dataPoints=this.getDataPoints(data);var dataMatrix=[];for(i=0;i<dataPoints.length;i++){obj=dataPoints[i];var xIndex=dataX.indexOf(obj.point.x);var yIndex=dataY.indexOf(obj.point.y);if(dataMatrix[xIndex]===undefined){dataMatrix[xIndex]=[]}dataMatrix[xIndex][yIndex]=obj}for(x=0;x<dataMatrix.length;x++){for(y=0;y<dataMatrix[x].length;y++){if(dataMatrix[x][y]){dataMatrix[x][y].pointRight=x<dataMatrix.length-1?dataMatrix[x+1][y]:undefined;dataMatrix[x][y].pointTop=y<dataMatrix[x].length-1?dataMatrix[x][y+1]:undefined;dataMatrix[x][y].pointCross=x<dataMatrix.length-1&&y<dataMatrix[x].length-1?dataMatrix[x+1][y+1]:undefined}}}}else{this._checkValueField(data);dataPoints=this.getDataPoints(data);if(this.style===Graph3d.STYLE.LINE){for(i=0;i<dataPoints.length;i++){if(i>0){dataPoints[i-1].pointNext=dataPoints[i]}}}}return dataPoints};Graph3d.prototype.create=function(){while(this.containerElement.hasChildNodes()){this.containerElement.removeChild(this.containerElement.firstChild)}this.frame=document.createElement(\"div\");this.frame.style.position=\"relative\";this.frame.style.overflow=\"hidden\";this.frame.canvas=document.createElement(\"canvas\");this.frame.canvas.style.position=\"relative\";this.frame.appendChild(this.frame.canvas);{var noCanvas=document.createElement(\"DIV\");noCanvas.style.color=\"red\";noCanvas.style.fontWeight=\"bold\";noCanvas.style.padding=\"10px\";noCanvas.innerHTML=\"Error: your browser does not support HTML canvas\";this.frame.canvas.appendChild(noCanvas)}this.frame.filter=document.createElement(\"div\");this.frame.filter.style.position=\"absolute\";this.frame.filter.style.bottom=\"0px\";this.frame.filter.style.left=\"0px\";this.frame.filter.style.width=\"100%\";this.frame.appendChild(this.frame.filter);var me=this;var onmousedown=function onmousedown(event){me._onMouseDown(event)};var ontouchstart=function ontouchstart(event){me._onTouchStart(event)};var onmousewheel=function onmousewheel(event){me._onWheel(event)};var ontooltip=function ontooltip(event){me._onTooltip(event)};var onclick=function onclick(event){me._onClick(event)};util.addEventListener(this.frame.canvas,\"mousedown\",onmousedown);util.addEventListener(this.frame.canvas,\"touchstart\",ontouchstart);util.addEventListener(this.frame.canvas,\"mousewheel\",onmousewheel);util.addEventListener(this.frame.canvas,\"mousemove\",ontooltip);util.addEventListener(this.frame.canvas,\"click\",onclick);this.containerElement.appendChild(this.frame)};Graph3d.prototype._setSize=function(width,height){this.frame.style.width=width;this.frame.style.height=height;this._resizeCanvas()};Graph3d.prototype._resizeCanvas=function(){this.frame.canvas.style.width=\"100%\";this.frame.canvas.style.height=\"100%\";this.frame.canvas.width=this.frame.canvas.clientWidth;this.frame.canvas.height=this.frame.canvas.clientHeight;this.frame.filter.style.width=this.frame.canvas.clientWidth-2*10+\"px\"};Graph3d.prototype.animationStart=function(){if(!this.animationAutoStart||!this.dataGroup.dataFilter)return;if(!this.frame.filter||!this.frame.filter.slider)throw new Error(\"No animation available\");this.frame.filter.slider.play()};Graph3d.prototype.animationStop=function(){if(!this.frame.filter||!this.frame.filter.slider)return;this.frame.filter.slider.stop()};Graph3d.prototype._resizeCenter=function(){if(this.xCenter.charAt(this.xCenter.length-1)===\"%\"){this.currentXCenter=parseFloat(this.xCenter)/100*this.frame.canvas.clientWidth}else{this.currentXCenter=parseFloat(this.xCenter)}if(this.yCenter.charAt(this.yCenter.length-1)===\"%\"){this.currentYCenter=parseFloat(this.yCenter)/100*(this.frame.canvas.clientHeight-this.frame.filter.clientHeight)}else{this.currentYCenter=parseFloat(this.yCenter)}};Graph3d.prototype.getCameraPosition=function(){var pos=this.camera.getArmRotation();pos.distance=this.camera.getArmLength();return pos};Graph3d.prototype._readData=function(data){this.dataPoints=this.dataGroup.initializeData(this,data,this.style);this._initializeRanges();this._redrawFilter()};Graph3d.prototype.setData=function(data){if(data===undefined||data===null)return;this._readData(data);this.redraw();this.animationStart()};Graph3d.prototype.setOptions=function(options){if(options===undefined)return;var errorFound=Validator.validate(options,allOptions);if(errorFound===true){console.log(\"%cErrors have been found in the supplied options object.\",printStyle)}this.animationStop();Settings.setOptions(options,this);this.setPointDrawingMethod();this._setSize(this.width,this.height);this.setData(this.dataGroup.getDataTable());this.animationStart()};Graph3d.prototype.setPointDrawingMethod=function(){var method=undefined;switch(this.style){case Graph3d.STYLE.BAR:method=Graph3d.prototype._redrawBarGraphPoint;break;case Graph3d.STYLE.BARCOLOR:method=Graph3d.prototype._redrawBarColorGraphPoint;break;case Graph3d.STYLE.BARSIZE:method=Graph3d.prototype._redrawBarSizeGraphPoint;break;case Graph3d.STYLE.DOT:method=Graph3d.prototype._redrawDotGraphPoint;break;case Graph3d.STYLE.DOTLINE:method=Graph3d.prototype._redrawDotLineGraphPoint;break;case Graph3d.STYLE.DOTCOLOR:method=Graph3d.prototype._redrawDotColorGraphPoint;break;case Graph3d.STYLE.DOTSIZE:method=Graph3d.prototype._redrawDotSizeGraphPoint;break;case Graph3d.STYLE.SURFACE:method=Graph3d.prototype._redrawSurfaceGraphPoint;break;case Graph3d.STYLE.GRID:method=Graph3d.prototype._redrawGridGraphPoint;break;case Graph3d.STYLE.LINE:method=Graph3d.prototype._redrawLineGraphPoint;break;default:throw new Error(\"Can not determine point drawing method \"+\"for graph style '\"+this.style+\"'\")}this._pointDrawingMethod=method};Graph3d.prototype.redraw=function(){if(this.dataPoints===undefined){throw new Error(\"Graph data not initialized\")}this._resizeCanvas();this._resizeCenter();this._redrawSlider();this._redrawClear();this._redrawAxis();this._redrawDataGraph();this._redrawInfo();this._redrawLegend()};Graph3d.prototype._getContext=function(){var canvas=this.frame.canvas;var ctx=canvas.getContext(\"2d\");ctx.lineJoin=\"round\";ctx.lineCap=\"round\";return ctx};Graph3d.prototype._redrawClear=function(){var canvas=this.frame.canvas;var ctx=canvas.getContext(\"2d\");ctx.clearRect(0,0,canvas.width,canvas.height)};Graph3d.prototype._dotSize=function(){return this.frame.clientWidth*this.dotSizeRatio};Graph3d.prototype._getLegendWidth=function(){var width;if(this.style===Graph3d.STYLE.DOTSIZE){var dotSize=this._dotSize();width=dotSize*this.dotSizeMaxFraction}else if(this.style===Graph3d.STYLE.BARSIZE){width=this.xBarWidth}else{width=20}return width};Graph3d.prototype._redrawLegend=function(){if(this.showLegend!==true){return}if(this.style===Graph3d.STYLE.LINE||this.style===Graph3d.STYLE.BARSIZE){return}var isSizeLegend=this.style===Graph3d.STYLE.BARSIZE||this.style===Graph3d.STYLE.DOTSIZE;var isValueLegend=this.style===Graph3d.STYLE.DOTSIZE||this.style===Graph3d.STYLE.DOTCOLOR||this.style===Graph3d.STYLE.BARCOLOR;var height=Math.max(this.frame.clientHeight*.25,100);var top=this.margin;var width=this._getLegendWidth();var right=this.frame.clientWidth-this.margin;var left=right-width;var bottom=top+height;var ctx=this._getContext();ctx.lineWidth=1;ctx.font=\"14px arial\";if(isSizeLegend===false){var ymin=0;var ymax=height;var y;for(y=ymin;y<ymax;y++){var f=(y-ymin)/(ymax-ymin);var hue=f*240;var color=this._hsv2rgb(hue,1,1);ctx.strokeStyle=color;ctx.beginPath();ctx.moveTo(left,top+y);ctx.lineTo(right,top+y);ctx.stroke()}ctx.strokeStyle=this.axisColor;ctx.strokeRect(left,top,width,height)}else{var widthMin;if(this.style===Graph3d.STYLE.DOTSIZE){widthMin=width*(this.dotSizeMinFraction/this.dotSizeMaxFraction)}else if(this.style===Graph3d.STYLE.BARSIZE){}ctx.strokeStyle=this.axisColor;ctx.fillStyle=this.dataColor.fill;ctx.beginPath();ctx.moveTo(left,top);ctx.lineTo(right,top);ctx.lineTo(left+widthMin,bottom);ctx.lineTo(left,bottom);ctx.closePath();ctx.fill();ctx.stroke()}var gridLineLen=5;var legendMin=isValueLegend?this.valueRange.min:this.zRange.min;var legendMax=isValueLegend?this.valueRange.max:this.zRange.max;var step=new StepNumber(legendMin,legendMax,(legendMax-legendMin)/5,true);step.start(true);var from;var to;while(!step.end()){y=bottom-(step.getCurrent()-legendMin)/(legendMax-legendMin)*height;from=new Point2d(left-gridLineLen,y);to=new Point2d(left,y);this._line(ctx,from,to);ctx.textAlign=\"right\";ctx.textBaseline=\"middle\";ctx.fillStyle=this.axisColor;ctx.fillText(step.getCurrent(),left-2*gridLineLen,y);step.next()}ctx.textAlign=\"right\";ctx.textBaseline=\"top\";var label=this.legendLabel;ctx.fillText(label,right,bottom+this.margin)};Graph3d.prototype._redrawFilter=function(){var dataFilter=this.dataGroup.dataFilter;var filter=this.frame.filter;filter.innerHTML=\"\";if(!dataFilter){filter.slider=undefined;return}var options={visible:this.showAnimationControls};var slider=new Slider(filter,options);filter.slider=slider;filter.style.padding=\"10px\";slider.setValues(dataFilter.values);slider.setPlayInterval(this.animationInterval);var me=this;var onchange=function onchange(){var dataFilter=me.dataGroup.dataFilter;var index=slider.getIndex();dataFilter.selectValue(index);me.dataPoints=dataFilter._getDataPoints();me.redraw()};slider.setOnChangeCallback(onchange)};Graph3d.prototype._redrawSlider=function(){if(this.frame.filter.slider!==undefined){this.frame.filter.slider.redraw()}};Graph3d.prototype._redrawInfo=function(){var info=this.dataGroup.getInfo();if(info===undefined)return;var ctx=this._getContext();ctx.font=\"14px arial\";ctx.lineStyle=\"gray\";ctx.fillStyle=\"gray\";ctx.textAlign=\"left\";ctx.textBaseline=\"top\";var x=this.margin;var y=this.margin;ctx.fillText(info,x,y)};Graph3d.prototype._line=function(ctx,from,to,strokeStyle){if(strokeStyle!==undefined){ctx.strokeStyle=strokeStyle}ctx.beginPath();ctx.moveTo(from.x,from.y);ctx.lineTo(to.x,to.y);ctx.stroke()};Graph3d.prototype.drawAxisLabelX=function(ctx,point3d,text,armAngle,yMargin){if(yMargin===undefined){yMargin=0}var point2d=this._convert3Dto2D(point3d);if(Math.cos(armAngle*2)>0){ctx.textAlign=\"center\";ctx.textBaseline=\"top\";point2d.y+=yMargin}else if(Math.sin(armAngle*2)<0){ctx.textAlign=\"right\";ctx.textBaseline=\"middle\"}else{ctx.textAlign=\"left\";ctx.textBaseline=\"middle\"}ctx.fillStyle=this.axisColor;ctx.fillText(text,point2d.x,point2d.y)};Graph3d.prototype.drawAxisLabelY=function(ctx,point3d,text,armAngle,yMargin){if(yMargin===undefined){yMargin=0}var point2d=this._convert3Dto2D(point3d);if(Math.cos(armAngle*2)<0){ctx.textAlign=\"center\";ctx.textBaseline=\"top\";point2d.y+=yMargin}else if(Math.sin(armAngle*2)>0){ctx.textAlign=\"right\";ctx.textBaseline=\"middle\"}else{ctx.textAlign=\"left\";ctx.textBaseline=\"middle\"}ctx.fillStyle=this.axisColor;ctx.fillText(text,point2d.x,point2d.y)};Graph3d.prototype.drawAxisLabelZ=function(ctx,point3d,text,offset){if(offset===undefined){offset=0}var point2d=this._convert3Dto2D(point3d);ctx.textAlign=\"right\";ctx.textBaseline=\"middle\";ctx.fillStyle=this.axisColor;ctx.fillText(text,point2d.x-offset,point2d.y)};Graph3d.prototype._line3d=function(ctx,from,to,strokeStyle){var from2d=this._convert3Dto2D(from);var to2d=this._convert3Dto2D(to);this._line(ctx,from2d,to2d,strokeStyle)};Graph3d.prototype._redrawAxis=function(){var ctx=this._getContext(),from,to,step,prettyStep,text,xText,yText,zText,offset,xOffset,yOffset;ctx.font=24/this.camera.getArmLength()+\"px arial\";var gridLenX=.025/this.scale.x;var gridLenY=.025/this.scale.y;var textMargin=5/this.camera.getArmLength();var armAngle=this.camera.getArmRotation().horizontal;var armVector=new Point2d(Math.cos(armAngle),Math.sin(armAngle));var xRange=this.xRange;var yRange=this.yRange;var zRange=this.zRange;var point3d;ctx.lineWidth=1;prettyStep=this.defaultXStep===undefined;step=new StepNumber(xRange.min,xRange.max,this.xStep,prettyStep);step.start(true);while(!step.end()){var x=step.getCurrent();if(this.showGrid){from=new Point3d(x,yRange.min,zRange.min);to=new Point3d(x,yRange.max,zRange.min);this._line3d(ctx,from,to,this.gridColor)}else if(this.showXAxis){from=new Point3d(x,yRange.min,zRange.min);to=new Point3d(x,yRange.min+gridLenX,zRange.min);this._line3d(ctx,from,to,this.axisColor);from=new Point3d(x,yRange.max,zRange.min);to=new Point3d(x,yRange.max-gridLenX,zRange.min);this._line3d(ctx,from,to,this.axisColor)}if(this.showXAxis){yText=armVector.x>0?yRange.min:yRange.max;point3d=new Point3d(x,yText,zRange.min);var msg=\"  \"+this.xValueLabel(x)+\"  \";this.drawAxisLabelX(ctx,point3d,msg,armAngle,textMargin)}step.next()}ctx.lineWidth=1;prettyStep=this.defaultYStep===undefined;step=new StepNumber(yRange.min,yRange.max,this.yStep,prettyStep);step.start(true);while(!step.end()){var y=step.getCurrent();if(this.showGrid){from=new Point3d(xRange.min,y,zRange.min);to=new Point3d(xRange.max,y,zRange.min);this._line3d(ctx,from,to,this.gridColor)}else if(this.showYAxis){from=new Point3d(xRange.min,y,zRange.min);to=new Point3d(xRange.min+gridLenY,y,zRange.min);this._line3d(ctx,from,to,this.axisColor);from=new Point3d(xRange.max,y,zRange.min);to=new Point3d(xRange.max-gridLenY,y,zRange.min);this._line3d(ctx,from,to,this.axisColor)}if(this.showYAxis){xText=armVector.y>0?xRange.min:xRange.max;point3d=new Point3d(xText,y,zRange.min);var _msg=\"  \"+this.yValueLabel(y)+\"  \";this.drawAxisLabelY(ctx,point3d,_msg,armAngle,textMargin)}step.next()}if(this.showZAxis){ctx.lineWidth=1;prettyStep=this.defaultZStep===undefined;step=new StepNumber(zRange.min,zRange.max,this.zStep,prettyStep);step.start(true);xText=armVector.x>0?xRange.min:xRange.max;yText=armVector.y<0?yRange.min:yRange.max;while(!step.end()){var z=step.getCurrent();var from3d=new Point3d(xText,yText,z);var from2d=this._convert3Dto2D(from3d);to=new Point2d(from2d.x-textMargin,from2d.y);this._line(ctx,from2d,to,this.axisColor);var _msg2=this.zValueLabel(z)+\" \";this.drawAxisLabelZ(ctx,from3d,_msg2,5);step.next()}ctx.lineWidth=1;from=new Point3d(xText,yText,zRange.min);to=new Point3d(xText,yText,zRange.max);this._line3d(ctx,from,to,this.axisColor)}if(this.showXAxis){var xMin2d;var xMax2d;ctx.lineWidth=1;xMin2d=new Point3d(xRange.min,yRange.min,zRange.min);xMax2d=new Point3d(xRange.max,yRange.min,zRange.min);this._line3d(ctx,xMin2d,xMax2d,this.axisColor);xMin2d=new Point3d(xRange.min,yRange.max,zRange.min);xMax2d=new Point3d(xRange.max,yRange.max,zRange.min);this._line3d(ctx,xMin2d,xMax2d,this.axisColor)}if(this.showYAxis){ctx.lineWidth=1;from=new Point3d(xRange.min,yRange.min,zRange.min);to=new Point3d(xRange.min,yRange.max,zRange.min);this._line3d(ctx,from,to,this.axisColor);from=new Point3d(xRange.max,yRange.min,zRange.min);to=new Point3d(xRange.max,yRange.max,zRange.min);this._line3d(ctx,from,to,this.axisColor)}var xLabel=this.xLabel;if(xLabel.length>0&&this.showXAxis){yOffset=.1/this.scale.y;xText=(xRange.max+3*xRange.min)/4;yText=armVector.x>0?yRange.min-yOffset:yRange.max+yOffset\n;text=new Point3d(xText,yText,zRange.min);this.drawAxisLabelX(ctx,text,xLabel,armAngle)}var yLabel=this.yLabel;if(yLabel.length>0&&this.showYAxis){xOffset=.1/this.scale.x;xText=armVector.y>0?xRange.min-xOffset:xRange.max+xOffset;yText=(yRange.max+3*yRange.min)/4;text=new Point3d(xText,yText,zRange.min);this.drawAxisLabelY(ctx,text,yLabel,armAngle)}var zLabel=this.zLabel;if(zLabel.length>0&&this.showZAxis){offset=30;xText=armVector.x>0?xRange.min:xRange.max;yText=armVector.y<0?yRange.min:yRange.max;zText=(zRange.max+3*zRange.min)/4;text=new Point3d(xText,yText,zText);this.drawAxisLabelZ(ctx,text,zLabel,offset)}};Graph3d.prototype._hsv2rgb=function(H,S,V){var R,G,B,C,Hi,X;C=V*S;Hi=Math.floor(H/60);X=C*(1-Math.abs(H/60%2-1));switch(Hi){case 0:R=C;G=X;B=0;break;case 1:R=X;G=C;B=0;break;case 2:R=0;G=C;B=X;break;case 3:R=0;G=X;B=C;break;case 4:R=X;G=0;B=C;break;case 5:R=C;G=0;B=X;break;default:R=0;G=0;B=0;break}return\"RGB(\"+parseInt(R*255)+\",\"+parseInt(G*255)+\",\"+parseInt(B*255)+\")\"};Graph3d.prototype._getStrokeWidth=function(point){if(point!==undefined){if(this.showPerspective){return 1/-point.trans.z*this.dataColor.strokeWidth}else{return-(this.eye.z/this.camera.getArmLength())*this.dataColor.strokeWidth}}return this.dataColor.strokeWidth};Graph3d.prototype._redrawBar=function(ctx,point,xWidth,yWidth,color,borderColor){var surface;var me=this;var point3d=point.point;var zMin=this.zRange.min;var top=[{point:new Point3d(point3d.x-xWidth,point3d.y-yWidth,point3d.z)},{point:new Point3d(point3d.x+xWidth,point3d.y-yWidth,point3d.z)},{point:new Point3d(point3d.x+xWidth,point3d.y+yWidth,point3d.z)},{point:new Point3d(point3d.x-xWidth,point3d.y+yWidth,point3d.z)}];var bottom=[{point:new Point3d(point3d.x-xWidth,point3d.y-yWidth,zMin)},{point:new Point3d(point3d.x+xWidth,point3d.y-yWidth,zMin)},{point:new Point3d(point3d.x+xWidth,point3d.y+yWidth,zMin)},{point:new Point3d(point3d.x-xWidth,point3d.y+yWidth,zMin)}];top.forEach(function(obj){obj.screen=me._convert3Dto2D(obj.point)});bottom.forEach(function(obj){obj.screen=me._convert3Dto2D(obj.point)});var surfaces=[{corners:top,center:Point3d.avg(bottom[0].point,bottom[2].point)},{corners:[top[0],top[1],bottom[1],bottom[0]],center:Point3d.avg(bottom[1].point,bottom[0].point)},{corners:[top[1],top[2],bottom[2],bottom[1]],center:Point3d.avg(bottom[2].point,bottom[1].point)},{corners:[top[2],top[3],bottom[3],bottom[2]],center:Point3d.avg(bottom[3].point,bottom[2].point)},{corners:[top[3],top[0],bottom[0],bottom[3]],center:Point3d.avg(bottom[0].point,bottom[3].point)}];point.surfaces=surfaces;for(var j=0;j<surfaces.length;j++){surface=surfaces[j];var transCenter=this._convertPointToTranslation(surface.center);surface.dist=this.showPerspective?transCenter.length():-transCenter.z}surfaces.sort(function(a,b){var diff=b.dist-a.dist;if(diff)return diff;if(a.corners===top)return 1;if(b.corners===top)return-1;return 0});ctx.lineWidth=this._getStrokeWidth(point);ctx.strokeStyle=borderColor;ctx.fillStyle=color;for(var _j=2;_j<surfaces.length;_j++){surface=surfaces[_j];this._polygon(ctx,surface.corners)}};Graph3d.prototype._polygon=function(ctx,points,fillStyle,strokeStyle){if(points.length<2){return}if(fillStyle!==undefined){ctx.fillStyle=fillStyle}if(strokeStyle!==undefined){ctx.strokeStyle=strokeStyle}ctx.beginPath();ctx.moveTo(points[0].screen.x,points[0].screen.y);for(var i=1;i<points.length;++i){var point=points[i];ctx.lineTo(point.screen.x,point.screen.y)}ctx.closePath();ctx.fill();ctx.stroke()};Graph3d.prototype._drawCircle=function(ctx,point,color,borderColor,size){var radius=this._calcRadius(point,size);ctx.lineWidth=this._getStrokeWidth(point);ctx.strokeStyle=borderColor;ctx.fillStyle=color;ctx.beginPath();ctx.arc(point.screen.x,point.screen.y,radius,0,Math.PI*2,true);ctx.fill();ctx.stroke()};Graph3d.prototype._getColorsRegular=function(point){var hue=(1-(point.point.z-this.zRange.min)*this.scale.z/this.verticalRatio)*240;var color=this._hsv2rgb(hue,1,1);var borderColor=this._hsv2rgb(hue,1,.8);return{fill:color,border:borderColor}};Graph3d.prototype._getColorsColor=function(point){var color,borderColor;if(typeof point.point.value===\"string\"){color=point.point.value;borderColor=point.point.value}else{var hue=(1-(point.point.value-this.valueRange.min)*this.scale.value)*240;color=this._hsv2rgb(hue,1,1);borderColor=this._hsv2rgb(hue,1,.8)}return{fill:color,border:borderColor}};Graph3d.prototype._getColorsSize=function(){return{fill:this.dataColor.fill,border:this.dataColor.stroke}};Graph3d.prototype._calcRadius=function(point,size){if(size===undefined){size=this._dotSize()}var radius;if(this.showPerspective){radius=size/-point.trans.z}else{radius=size*-(this.eye.z/this.camera.getArmLength())}if(radius<0){radius=0}return radius};Graph3d.prototype._redrawBarGraphPoint=function(ctx,point){var xWidth=this.xBarWidth/2;var yWidth=this.yBarWidth/2;var colors=this._getColorsRegular(point);this._redrawBar(ctx,point,xWidth,yWidth,colors.fill,colors.border)};Graph3d.prototype._redrawBarColorGraphPoint=function(ctx,point){var xWidth=this.xBarWidth/2;var yWidth=this.yBarWidth/2;var colors=this._getColorsColor(point);this._redrawBar(ctx,point,xWidth,yWidth,colors.fill,colors.border)};Graph3d.prototype._redrawBarSizeGraphPoint=function(ctx,point){var fraction=(point.point.value-this.valueRange.min)/this.valueRange.range();var xWidth=this.xBarWidth/2*(fraction*.8+.2);var yWidth=this.yBarWidth/2*(fraction*.8+.2);var colors=this._getColorsSize();this._redrawBar(ctx,point,xWidth,yWidth,colors.fill,colors.border)};Graph3d.prototype._redrawDotGraphPoint=function(ctx,point){var colors=this._getColorsRegular(point);this._drawCircle(ctx,point,colors.fill,colors.border)};Graph3d.prototype._redrawDotLineGraphPoint=function(ctx,point){var from=this._convert3Dto2D(point.bottom);ctx.lineWidth=1;this._line(ctx,from,point.screen,this.gridColor);this._redrawDotGraphPoint(ctx,point)};Graph3d.prototype._redrawDotColorGraphPoint=function(ctx,point){var colors=this._getColorsColor(point);this._drawCircle(ctx,point,colors.fill,colors.border)};Graph3d.prototype._redrawDotSizeGraphPoint=function(ctx,point){var dotSize=this._dotSize();var fraction=(point.point.value-this.valueRange.min)/this.valueRange.range();var sizeMin=dotSize*this.dotSizeMinFraction;var sizeRange=dotSize*this.dotSizeMaxFraction-sizeMin;var size=sizeMin+sizeRange*fraction;var colors=this._getColorsSize();this._drawCircle(ctx,point,colors.fill,colors.border,size)};Graph3d.prototype._redrawSurfaceGraphPoint=function(ctx,point){var right=point.pointRight;var top=point.pointTop;var cross=point.pointCross;if(point===undefined||right===undefined||top===undefined||cross===undefined){return}var topSideVisible=true;var fillStyle;var strokeStyle;if(this.showGrayBottom||this.showShadow){var aDiff=Point3d.subtract(cross.trans,point.trans);var bDiff=Point3d.subtract(top.trans,right.trans);var crossproduct=Point3d.crossProduct(aDiff,bDiff);var len=crossproduct.length();topSideVisible=crossproduct.z>0}if(topSideVisible){var zAvg=(point.point.z+right.point.z+top.point.z+cross.point.z)/4;var h=(1-(zAvg-this.zRange.min)*this.scale.z/this.verticalRatio)*240;var s=1;var v;if(this.showShadow){v=Math.min(1+crossproduct.x/len/2,1);fillStyle=this._hsv2rgb(h,s,v);strokeStyle=fillStyle}else{v=1;fillStyle=this._hsv2rgb(h,s,v);strokeStyle=this.axisColor}}else{fillStyle=\"gray\";strokeStyle=this.axisColor}ctx.lineWidth=this._getStrokeWidth(point);var points=[point,right,cross,top];this._polygon(ctx,points,fillStyle,strokeStyle)};Graph3d.prototype._drawGridLine=function(ctx,from,to){if(from===undefined||to===undefined){return}var zAvg=(from.point.z+to.point.z)/2;var h=(1-(zAvg-this.zRange.min)*this.scale.z/this.verticalRatio)*240;ctx.lineWidth=this._getStrokeWidth(from)*2;ctx.strokeStyle=this._hsv2rgb(h,1,1);this._line(ctx,from.screen,to.screen)};Graph3d.prototype._redrawGridGraphPoint=function(ctx,point){this._drawGridLine(ctx,point,point.pointRight);this._drawGridLine(ctx,point,point.pointTop)};Graph3d.prototype._redrawLineGraphPoint=function(ctx,point){if(point.pointNext===undefined){return}ctx.lineWidth=this._getStrokeWidth(point);ctx.strokeStyle=this.dataColor.stroke;this._line(ctx,point.screen,point.pointNext.screen)};Graph3d.prototype._redrawDataGraph=function(){var ctx=this._getContext();var i;if(this.dataPoints===undefined||this.dataPoints.length<=0)return;this._calcTranslations(this.dataPoints);for(i=0;i<this.dataPoints.length;i++){var point=this.dataPoints[i];this._pointDrawingMethod.call(this,ctx,point)}};Graph3d.prototype._storeMousePosition=function(event){this.startMouseX=getMouseX(event);this.startMouseY=getMouseY(event);this._startCameraOffset=this.camera.getOffset()};Graph3d.prototype._onMouseDown=function(event){event=event||window.event;if(this.leftButtonDown){this._onMouseUp(event)}this.leftButtonDown=event.which?event.which===1:event.button===1;if(!this.leftButtonDown&&!this.touchDown)return;this._storeMousePosition(event);this.startStart=new Date(this.start);this.startEnd=new Date(this.end);this.startArmRotation=this.camera.getArmRotation();this.frame.style.cursor=\"move\";var me=this;this.onmousemove=function(event){me._onMouseMove(event)};this.onmouseup=function(event){me._onMouseUp(event)};util.addEventListener(document,\"mousemove\",me.onmousemove);util.addEventListener(document,\"mouseup\",me.onmouseup);util.preventDefault(event)};Graph3d.prototype._onMouseMove=function(event){this.moving=true;event=event||window.event;var diffX=parseFloat(getMouseX(event))-this.startMouseX;var diffY=parseFloat(getMouseY(event))-this.startMouseY;if(event&&event.ctrlKey===true){var scaleX=this.frame.clientWidth*.5;var scaleY=this.frame.clientHeight*.5;var offXNew=(this._startCameraOffset.x||0)-diffX/scaleX*this.camera.armLength*.8;var offYNew=(this._startCameraOffset.y||0)+diffY/scaleY*this.camera.armLength*.8;this.camera.setOffset(offXNew,offYNew);this._storeMousePosition(event)}else{var horizontalNew=this.startArmRotation.horizontal+diffX/200;var verticalNew=this.startArmRotation.vertical+diffY/200;var snapAngle=4;var snapValue=Math.sin(snapAngle/360*2*Math.PI);if(Math.abs(Math.sin(horizontalNew))<snapValue){horizontalNew=Math.round(horizontalNew/Math.PI)*Math.PI-.001}if(Math.abs(Math.cos(horizontalNew))<snapValue){horizontalNew=(Math.round(horizontalNew/Math.PI-.5)+.5)*Math.PI-.001}if(Math.abs(Math.sin(verticalNew))<snapValue){verticalNew=Math.round(verticalNew/Math.PI)*Math.PI}if(Math.abs(Math.cos(verticalNew))<snapValue){verticalNew=(Math.round(verticalNew/Math.PI-.5)+.5)*Math.PI}this.camera.setArmRotation(horizontalNew,verticalNew)}this.redraw();var parameters=this.getCameraPosition();this.emit(\"cameraPositionChange\",parameters);util.preventDefault(event)};Graph3d.prototype._onMouseUp=function(event){this.frame.style.cursor=\"auto\";this.leftButtonDown=false;util.removeEventListener(document,\"mousemove\",this.onmousemove);util.removeEventListener(document,\"mouseup\",this.onmouseup);util.preventDefault(event)};Graph3d.prototype._onClick=function(event){if(!this.onclick_callback)return;if(!this.moving){var boundingRect=this.frame.getBoundingClientRect();var mouseX=getMouseX(event)-boundingRect.left;var mouseY=getMouseY(event)-boundingRect.top;var dataPoint=this._dataPointFromXY(mouseX,mouseY);if(dataPoint)this.onclick_callback(dataPoint.point.data)}else{this.moving=false}util.preventDefault(event)};Graph3d.prototype._onTooltip=function(event){var delay=300;var boundingRect=this.frame.getBoundingClientRect();var mouseX=getMouseX(event)-boundingRect.left;var mouseY=getMouseY(event)-boundingRect.top;if(!this.showTooltip){return}if(this.tooltipTimeout){clearTimeout(this.tooltipTimeout)}if(this.leftButtonDown){this._hideTooltip();return}if(this.tooltip&&this.tooltip.dataPoint){var dataPoint=this._dataPointFromXY(mouseX,mouseY);if(dataPoint!==this.tooltip.dataPoint){if(dataPoint){this._showTooltip(dataPoint)}else{this._hideTooltip()}}}else{var me=this;this.tooltipTimeout=setTimeout(function(){me.tooltipTimeout=null;var dataPoint=me._dataPointFromXY(mouseX,mouseY);if(dataPoint){me._showTooltip(dataPoint)}},delay)}};Graph3d.prototype._onTouchStart=function(event){this.touchDown=true;var me=this;this.ontouchmove=function(event){me._onTouchMove(event)};this.ontouchend=function(event){me._onTouchEnd(event)};util.addEventListener(document,\"touchmove\",me.ontouchmove);util.addEventListener(document,\"touchend\",me.ontouchend);this._onMouseDown(event)};Graph3d.prototype._onTouchMove=function(event){this._onMouseMove(event)};Graph3d.prototype._onTouchEnd=function(event){this.touchDown=false;util.removeEventListener(document,\"touchmove\",this.ontouchmove);util.removeEventListener(document,\"touchend\",this.ontouchend);this._onMouseUp(event)};Graph3d.prototype._onWheel=function(event){if(!event)event=window.event;var delta=0;if(event.wheelDelta){delta=event.wheelDelta/120}else if(event.detail){delta=-event.detail/3}if(delta){var oldLength=this.camera.getArmLength();var newLength=oldLength*(1-delta/10);this.camera.setArmLength(newLength);this.redraw();this._hideTooltip()}var parameters=this.getCameraPosition();this.emit(\"cameraPositionChange\",parameters);util.preventDefault(event)};Graph3d.prototype._insideTriangle=function(point,triangle){var a=triangle[0],b=triangle[1],c=triangle[2];function sign(x){return x>0?1:x<0?-1:0}var as=sign((b.x-a.x)*(point.y-a.y)-(b.y-a.y)*(point.x-a.x));var bs=sign((c.x-b.x)*(point.y-b.y)-(c.y-b.y)*(point.x-b.x));var cs=sign((a.x-c.x)*(point.y-c.y)-(a.y-c.y)*(point.x-c.x));return(as==0||bs==0||as==bs)&&(bs==0||cs==0||bs==cs)&&(as==0||cs==0||as==cs)};Graph3d.prototype._dataPointFromXY=function(x,y){var i,distMax=100,dataPoint=null,closestDataPoint=null,closestDist=null,center=new Point2d(x,y);if(this.style===Graph3d.STYLE.BAR||this.style===Graph3d.STYLE.BARCOLOR||this.style===Graph3d.STYLE.BARSIZE){for(i=this.dataPoints.length-1;i>=0;i--){dataPoint=this.dataPoints[i];var surfaces=dataPoint.surfaces;if(surfaces){for(var s=surfaces.length-1;s>=0;s--){var surface=surfaces[s];var corners=surface.corners;var triangle1=[corners[0].screen,corners[1].screen,corners[2].screen];var triangle2=[corners[2].screen,corners[3].screen,corners[0].screen];if(this._insideTriangle(center,triangle1)||this._insideTriangle(center,triangle2)){return dataPoint}}}}}else{for(i=0;i<this.dataPoints.length;i++){dataPoint=this.dataPoints[i];var point=dataPoint.screen;if(point){var distX=Math.abs(x-point.x);var distY=Math.abs(y-point.y);var dist=Math.sqrt(distX*distX+distY*distY);if((closestDist===null||dist<closestDist)&&dist<distMax){closestDist=dist;closestDataPoint=dataPoint}}}}return closestDataPoint};Graph3d.prototype.hasBars=function(style){return style==Graph3d.STYLE.BAR||style==Graph3d.STYLE.BARCOLOR||style==Graph3d.STYLE.BARSIZE};Graph3d.prototype._showTooltip=function(dataPoint){var content,line,dot;if(!this.tooltip){content=document.createElement(\"div\");(0,_assign2[\"default\"])(content.style,{},this.tooltipStyle.content);content.style.position=\"absolute\";line=document.createElement(\"div\");(0,_assign2[\"default\"])(line.style,{},this.tooltipStyle.line);line.style.position=\"absolute\";dot=document.createElement(\"div\");(0,_assign2[\"default\"])(dot.style,{},this.tooltipStyle.dot);dot.style.position=\"absolute\";this.tooltip={dataPoint:null,dom:{content:content,line:line,dot:dot}}}else{content=this.tooltip.dom.content;line=this.tooltip.dom.line;dot=this.tooltip.dom.dot}this._hideTooltip();this.tooltip.dataPoint=dataPoint;if(typeof this.showTooltip===\"function\"){content.innerHTML=this.showTooltip(dataPoint.point)}else{content.innerHTML=\"<table>\"+\"<tr><td>\"+this.xLabel+\":</td><td>\"+dataPoint.point.x+\"</td></tr>\"+\"<tr><td>\"+this.yLabel+\":</td><td>\"+dataPoint.point.y+\"</td></tr>\"+\"<tr><td>\"+this.zLabel+\":</td><td>\"+dataPoint.point.z+\"</td></tr>\"+\"</table>\"}content.style.left=\"0\";content.style.top=\"0\";this.frame.appendChild(content);this.frame.appendChild(line);this.frame.appendChild(dot);var contentWidth=content.offsetWidth;var contentHeight=content.offsetHeight;var lineHeight=line.offsetHeight;var dotWidth=dot.offsetWidth;var dotHeight=dot.offsetHeight;var left=dataPoint.screen.x-contentWidth/2;left=Math.min(Math.max(left,10),this.frame.clientWidth-10-contentWidth);line.style.left=dataPoint.screen.x+\"px\";line.style.top=dataPoint.screen.y-lineHeight+\"px\";content.style.left=left+\"px\";content.style.top=dataPoint.screen.y-lineHeight-contentHeight+\"px\";dot.style.left=dataPoint.screen.x-dotWidth/2+\"px\";dot.style.top=dataPoint.screen.y-dotHeight/2+\"px\"};Graph3d.prototype._hideTooltip=function(){if(this.tooltip){this.tooltip.dataPoint=null;for(var prop in this.tooltip.dom){if(this.tooltip.dom.hasOwnProperty(prop)){var elem=this.tooltip.dom[prop];if(elem&&elem.parentNode){elem.parentNode.removeChild(elem)}}}}};function getMouseX(event){if(\"clientX\"in event)return event.clientX;return event.targetTouches[0]&&event.targetTouches[0].clientX||0}function getMouseY(event){if(\"clientY\"in event)return event.clientY;return event.targetTouches[0]&&event.targetTouches[0].clientY||0}Graph3d.prototype.setCameraPosition=function(pos){Settings.setCameraPosition(pos,this);this.redraw()};Graph3d.prototype.setSize=function(width,height){this._setSize(width,height);this.redraw()};module.exports=Graph3d},function(module,exports,__webpack_require__){__webpack_require__(163);module.exports=__webpack_require__(7).Object.assign},function(module,exports,__webpack_require__){var $export=__webpack_require__(17);$export($export.S+$export.F,\"Object\",{assign:__webpack_require__(164)})},function(module,exports,__webpack_require__){\"use strict\";var getKeys=__webpack_require__(33);var gOPS=__webpack_require__(63);var pIE=__webpack_require__(42);var toObject=__webpack_require__(41);var IObject=__webpack_require__(78);var $assign=Object.assign;module.exports=!$assign||__webpack_require__(28)(function(){var A={};var B={};var S=Symbol();var K=\"abcdefghijklmnopqrst\";A[S]=7;K.split(\"\").forEach(function(k){B[k]=k});return $assign({},A)[S]!=7||Object.keys($assign({},B)).join(\"\")!=K})?function assign(target,source){var T=toObject(target);var aLen=arguments.length;var index=1;var getSymbols=gOPS.f;var isEnum=pIE.f;while(aLen>index){var S=IObject(arguments[index++]);var keys=getSymbols?getKeys(S).concat(getSymbols(S)):getKeys(S);var length=keys.length;var j=0;var key;while(length>j)if(isEnum.call(S,key=keys[j++]))T[key]=S[key]}return T}:$assign},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(166),__esModule:true}},function(module,exports,__webpack_require__){__webpack_require__(167);module.exports=__webpack_require__(7).Math.sign},function(module,exports,__webpack_require__){var $export=__webpack_require__(17);$export($export.S,\"Math\",{sign:__webpack_require__(168)})},function(module,exports){module.exports=Math.sign||function sign(x){return(x=+x)==0||x!=x?x:x<0?-1:1}},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(170),__esModule:true}},function(module,exports,__webpack_require__){__webpack_require__(171);var $Object=__webpack_require__(7).Object;module.exports=function defineProperty(it,key,desc){return $Object.defineProperty(it,key,desc)}},function(module,exports,__webpack_require__){var $export=__webpack_require__(17);$export($export.S+$export.F*!__webpack_require__(21),\"Object\",{defineProperty:__webpack_require__(20).f})},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var string=\"string\";var bool=\"boolean\";var number=\"number\";var object=\"object\";var colorOptions={fill:{string:string},stroke:{string:string},strokeWidth:{number:number},__type__:{string:string,object:object,undefined:\"undefined\"}};var allOptions={animationAutoStart:{boolean:bool,undefined:\"undefined\"},animationInterval:{number:number},animationPreload:{boolean:bool},axisColor:{string:string},backgroundColor:colorOptions,xBarWidth:{number:number,undefined:\"undefined\"},yBarWidth:{number:number,undefined:\"undefined\"},cameraPosition:{distance:{number:number},horizontal:{number:number},vertical:{number:number},__type__:{object:object}},xCenter:{string:string},yCenter:{string:string},dataColor:colorOptions,dotSizeMinFraction:{number:number},dotSizeMaxFraction:{number:number},dotSizeRatio:{number:number},filterLabel:{string:string},gridColor:{string:string},onclick:{function:\"function\"},keepAspectRatio:{boolean:bool},xLabel:{string:string},yLabel:{string:string},zLabel:{string:string},legendLabel:{string:string},xMin:{number:number,undefined:\"undefined\"},yMin:{number:number,undefined:\"undefined\"},zMin:{number:number,undefined:\"undefined\"},xMax:{number:number,undefined:\"undefined\"},yMax:{number:number,undefined:\"undefined\"},zMax:{number:number,undefined:\"undefined\"},showAnimationControls:{boolean:bool,undefined:\"undefined\"},showGrid:{boolean:bool},showLegend:{boolean:bool,undefined:\"undefined\"},showPerspective:{boolean:bool},showShadow:{boolean:bool},showXAxis:{boolean:bool},showYAxis:{boolean:bool},showZAxis:{boolean:bool},xStep:{number:number,undefined:\"undefined\"},yStep:{number:number,undefined:\"undefined\"},zStep:{number:number,undefined:\"undefined\"},style:{number:number,string:[\"bar\",\"bar-color\",\"bar-size\",\"dot\",\"dot-line\",\"dot-color\",\"dot-size\",\"line\",\"grid\",\"surface\"]},tooltip:{boolean:bool,function:\"function\"},tooltipStyle:{content:{color:{string:string},background:{string:string},border:{string:string},borderRadius:{string:string},boxShadow:{string:string},padding:{string:string},__type__:{object:object}},line:{borderLeft:{string:string},height:{string:string},width:{string:string},__type__:{object:object}},dot:{border:{string:string},borderRadius:{string:string},height:{string:string},width:{string:string},__type__:{object:object}},__type__:{object:object}},xValueLabel:{function:\"function\"},yValueLabel:{function:\"function\"},zValueLabel:{function:\"function\"},valueMax:{number:number,undefined:\"undefined\"},valueMin:{number:number,undefined:\"undefined\"},verticalRatio:{number:number},height:{string:string},width:{string:string},__type__:{object:object}};exports.allOptions=allOptions},function(module,exports,__webpack_require__){\"use strict\";var DataSet=__webpack_require__(11);var DataView=__webpack_require__(12);var Range=__webpack_require__(174);var Filter=__webpack_require__(96);var Settings=__webpack_require__(94);var Point3d=__webpack_require__(34);function DataGroup(){this.dataTable=null}DataGroup.prototype.initializeData=function(graph3d,rawData,style){if(rawData===undefined)return;if(Array.isArray(rawData)){rawData=new DataSet(rawData)}var data;if(rawData instanceof DataSet||rawData instanceof DataView){data=rawData.get()}else{throw new Error(\"Array, DataSet, or DataView expected\")}if(data.length==0)return;this.style=style;if(this.dataSet){this.dataSet.off(\"*\",this._onChange)}this.dataSet=rawData;this.dataTable=data;var me=this;this._onChange=function(){graph3d.setData(me.dataSet)};this.dataSet.on(\"*\",this._onChange);this.colX=\"x\";this.colY=\"y\";this.colZ=\"z\";var withBars=graph3d.hasBars(style);if(withBars){if(graph3d.defaultXBarWidth!==undefined){this.xBarWidth=graph3d.defaultXBarWidth}else{this.xBarWidth=this.getSmallestDifference(data,this.colX)||1}if(graph3d.defaultYBarWidth!==undefined){this.yBarWidth=graph3d.defaultYBarWidth}else{this.yBarWidth=this.getSmallestDifference(data,this.colY)||1}}this._initializeRange(data,this.colX,graph3d,withBars);this._initializeRange(data,this.colY,graph3d,withBars);this._initializeRange(data,this.colZ,graph3d,false);if(data[0].hasOwnProperty(\"style\")){this.colValue=\"style\";var valueRange=this.getColumnRange(data,this.colValue);this._setRangeDefaults(valueRange,graph3d.defaultValueMin,graph3d.defaultValueMax);this.valueRange=valueRange}var table=this.getDataTable();if(table[0].hasOwnProperty(\"filter\")){if(this.dataFilter===undefined){this.dataFilter=new Filter(this,\"filter\",graph3d);this.dataFilter.setOnLoadCallback(function(){graph3d.redraw()})}}var dataPoints;if(this.dataFilter){dataPoints=this.dataFilter._getDataPoints()}else{dataPoints=this._getDataPoints(this.getDataTable())}return dataPoints};DataGroup.prototype._collectRangeSettings=function(column,graph3d){var index=[\"x\",\"y\",\"z\"].indexOf(column);if(index==-1){throw new Error(\"Column '\"+column+\"' invalid\")}var upper=column.toUpperCase();return{barWidth:this[column+\"BarWidth\"],min:graph3d[\"default\"+upper+\"Min\"],max:graph3d[\"default\"+upper+\"Max\"],step:graph3d[\"default\"+upper+\"Step\"],range_label:column+\"Range\",step_label:column+\"Step\"}};DataGroup.prototype._initializeRange=function(data,column,graph3d,withBars){var NUMSTEPS=5;var settings=this._collectRangeSettings(column,graph3d);var range=this.getColumnRange(data,column);if(withBars&&column!=\"z\"){range.expand(settings.barWidth/2)}this._setRangeDefaults(range,settings.min,settings.max);this[settings.range_label]=range;this[settings.step_label]=settings.step!==undefined?settings.step:range.range()/NUMSTEPS};DataGroup.prototype.getDistinctValues=function(column,data){if(data===undefined){data=this.dataTable}var values=[];for(var i=0;i<data.length;i++){var value=data[i][column]||0;if(values.indexOf(value)===-1){values.push(value)}}return values.sort(function(a,b){return a-b})};DataGroup.prototype.getSmallestDifference=function(data,column){var values=this.getDistinctValues(data,column);var smallest_diff=null;for(var i=1;i<values.length;i++){var diff=values[i]-values[i-1];if(smallest_diff==null||smallest_diff>diff){smallest_diff=diff}}return smallest_diff};DataGroup.prototype.getColumnRange=function(data,column){var range=new Range;for(var i=0;i<data.length;i++){var item=data[i][column];range.adjust(item)}return range};DataGroup.prototype.getNumberOfRows=function(){return this.dataTable.length};DataGroup.prototype._setRangeDefaults=function(range,defaultMin,defaultMax){if(defaultMin!==undefined){range.min=defaultMin}if(defaultMax!==undefined){range.max=defaultMax}if(range.max<=range.min)range.max=range.min+1};DataGroup.prototype.getDataTable=function(){return this.dataTable};DataGroup.prototype.getDataSet=function(){return this.dataSet};DataGroup.prototype.getDataPoints=function(data){var dataPoints=[];for(var i=0;i<data.length;i++){var point=new Point3d;point.x=data[i][this.colX]||0;point.y=data[i][this.colY]||0;point.z=data[i][this.colZ]||0;point.data=data[i];if(this.colValue!==undefined){point.value=data[i][this.colValue]||0}var obj={};obj.point=point;obj.bottom=new Point3d(point.x,point.y,this.zRange.min);obj.trans=undefined;obj.screen=undefined;dataPoints.push(obj)}return dataPoints};DataGroup.prototype.initDataAsMatrix=function(data){var x,y,i,obj;var dataX=this.getDistinctValues(this.colX,data);var dataY=this.getDistinctValues(this.colY,data);var dataPoints=this.getDataPoints(data);var dataMatrix=[];for(i=0;i<dataPoints.length;i++){obj=dataPoints[i];var xIndex=dataX.indexOf(obj.point.x);var yIndex=dataY.indexOf(obj.point.y);if(dataMatrix[xIndex]===undefined){dataMatrix[xIndex]=[]}dataMatrix[xIndex][yIndex]=obj}for(x=0;x<dataMatrix.length;x++){for(y=0;y<dataMatrix[x].length;y++){if(dataMatrix[x][y]){dataMatrix[x][y].pointRight=x<dataMatrix.length-1?dataMatrix[x+1][y]:undefined;dataMatrix[x][y].pointTop=y<dataMatrix[x].length-1?dataMatrix[x][y+1]:undefined;dataMatrix[x][y].pointCross=x<dataMatrix.length-1&&y<dataMatrix[x].length-1?dataMatrix[x+1][y+1]:undefined}}}return dataPoints};DataGroup.prototype.getInfo=function(){var dataFilter=this.dataFilter;if(!dataFilter)return undefined;return dataFilter.getLabel()+\": \"+dataFilter.getSelectedValue()};DataGroup.prototype.reload=function(){if(this.dataTable){this.setData(this.dataTable)}};DataGroup.prototype._getDataPoints=function(data){var dataPoints=[];if(this.style===Settings.STYLE.GRID||this.style===Settings.STYLE.SURFACE){dataPoints=this.initDataAsMatrix(data)}else{this._checkValueField(data);dataPoints=this.getDataPoints(data);if(this.style===Settings.STYLE.LINE){for(var i=0;i<dataPoints.length;i++){if(i>0){dataPoints[i-1].pointNext=dataPoints[i]}}}}return dataPoints};DataGroup.prototype._checkValueField=function(data){var hasValueField=this.style===Settings.STYLE.BARCOLOR||this.style===Settings.STYLE.BARSIZE||this.style===Settings.STYLE.DOTCOLOR||this.style===Settings.STYLE.DOTSIZE;if(!hasValueField){return}if(this.colValue===undefined){throw new Error(\"Expected data to have \"+\" field 'style' \"+\" for graph style '\"+this.style+\"'\")}if(data[0][this.colValue]===undefined){throw new Error(\"Expected data to have \"+\" field '\"+this.colValue+\"' \"+\" for graph style '\"+this.style+\"'\")}};module.exports=DataGroup},function(module,exports,__webpack_require__){\"use strict\";function Range(){this.min=undefined;this.max=undefined}Range.prototype.adjust=function(value){if(value===undefined)return;if(this.min===undefined||this.min>value){this.min=value}if(this.max===undefined||this.max<value){this.max=value}};Range.prototype.combine=function(range){this.add(range.min);this.add(range.max)};Range.prototype.expand=function(val){if(val===undefined){return}var newMin=this.min-val;var newMax=this.max+val;if(newMin>newMax){throw new Error(\"Passed expansion value makes range invalid\")}this.min=newMin;this.max=newMax};Range.prototype.range=function(){return this.max-this.min};Range.prototype.center=function(){return(this.min+this.max)/2};module.exports=Range},function(module,exports,__webpack_require__){\"use strict\";var 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each(obj,iterator,context){var i;if(!obj){return}if(obj.forEach){obj.forEach(iterator,context)}else if(obj.length!==undefined){i=0;while(i<obj.length){iterator.call(context,obj[i],i,obj);i++}}else{for(i in obj){obj.hasOwnProperty(i)&&iterator.call(context,obj[i],i,obj)}}}function deprecate(method,name,message){var deprecationMessage=\"DEPRECATED METHOD: \"+name+\"\\n\"+message+\" AT \\n\";return function(){var e=new Error(\"get-stack-trace\");var stack=e&&e.stack?e.stack.replace(/^[^\\(]+?[\\n$]/gm,\"\").replace(/^\\s+at\\s+/gm,\"\").replace(/^Object.<anonymous>\\s*\\(/gm,\"{anonymous}()@\"):\"Unknown Stack Trace\";var log=window.console&&(window.console.warn||window.console.log);if(log){log.call(window.console,deprecationMessage,stack)}return method.apply(this,arguments)}}var assign;if(typeof Object.assign!==\"function\"){assign=function assign(target){if(target===undefined||target===null){throw new TypeError(\"Cannot convert undefined or null to object\")}var output=Object(target);for(var index=1;index<arguments.length;index++){var source=arguments[index];if(source!==undefined&&source!==null){for(var nextKey in source){if(source.hasOwnProperty(nextKey)){output[nextKey]=source[nextKey]}}}}return output}}else{assign=Object.assign}var extend=deprecate(function extend(dest,src,merge){var keys=Object.keys(src);var i=0;while(i<keys.length){if(!merge||merge&&dest[keys[i]]===undefined){dest[keys[i]]=src[keys[i]]}i++}return dest},\"extend\",\"Use `assign`.\");var merge=deprecate(function merge(dest,src){return extend(dest,src,true)},\"merge\",\"Use `assign`.\");function inherit(child,base,properties){var baseP=base.prototype,childP;childP=child.prototype=Object.create(baseP);childP.constructor=child;childP._super=baseP;if(properties){assign(childP,properties)}}function bindFn(fn,context){return function boundFn(){return fn.apply(context,arguments)}}function boolOrFn(val,args){if(typeof val==TYPE_FUNCTION){return val.apply(args?args[0]||undefined:undefined,args)}return val}function ifUndefined(val1,val2){return val1===undefined?val2:val1}function addEventListeners(target,types,handler){each(splitStr(types),function(type){target.addEventListener(type,handler,false)})}function removeEventListeners(target,types,handler){each(splitStr(types),function(type){target.removeEventListener(type,handler,false)})}function hasParent(node,parent){while(node){if(node==parent){return true}node=node.parentNode}return false}function inStr(str,find){return str.indexOf(find)>-1}function splitStr(str){return str.trim().split(/\\s+/g)}function inArray(src,find,findByKey){if(src.indexOf&&!findByKey){return src.indexOf(find)}else{var i=0;while(i<src.length){if(findByKey&&src[i][findByKey]==find||!findByKey&&src[i]===find){return i}i++}return-1}}function toArray(obj){return Array.prototype.slice.call(obj,0)}function uniqueArray(src,key,sort){var results=[];var values=[];var i=0;while(i<src.length){var val=key?src[i][key]:src[i];if(inArray(values,val)<0){results.push(src[i])}values[i]=val;i++}if(sort){if(!key){results=results.sort()}else{results=results.sort(function sortUniqueArray(a,b){return a[key]>b[key]})}}return results}function prefixed(obj,property){var prefix,prop;var camelProp=property[0].toUpperCase()+property.slice(1);var i=0;while(i<VENDOR_PREFIXES.length){prefix=VENDOR_PREFIXES[i];prop=prefix?prefix+camelProp:property;if(prop in obj){return prop}i++}return undefined}var _uniqueId=1;function uniqueId(){return _uniqueId++}function getWindowForElement(element){var doc=element.ownerDocument||element;return doc.defaultView||doc.parentWindow||window}var MOBILE_REGEX=/mobile|tablet|ip(ad|hone|od)|android/i;var SUPPORT_TOUCH=\"ontouchstart\"in window;var SUPPORT_POINTER_EVENTS=prefixed(window,\"PointerEvent\")!==undefined;var SUPPORT_ONLY_TOUCH=SUPPORT_TOUCH&&MOBILE_REGEX.test(navigator.userAgent);var INPUT_TYPE_TOUCH=\"touch\";var INPUT_TYPE_PEN=\"pen\";var INPUT_TYPE_MOUSE=\"mouse\";var INPUT_TYPE_KINECT=\"kinect\";var COMPUTE_INTERVAL=25;var INPUT_START=1;var INPUT_MOVE=2;var INPUT_END=4;var INPUT_CANCEL=8;var DIRECTION_NONE=1;var DIRECTION_LEFT=2;var DIRECTION_RIGHT=4;var DIRECTION_UP=8;var DIRECTION_DOWN=16;var DIRECTION_HORIZONTAL=DIRECTION_LEFT|DIRECTION_RIGHT;var DIRECTION_VERTICAL=DIRECTION_UP|DIRECTION_DOWN;var DIRECTION_ALL=DIRECTION_HORIZONTAL|DIRECTION_VERTICAL;var PROPS_XY=[\"x\",\"y\"];var PROPS_CLIENT_XY=[\"clientX\",\"clientY\"];function Input(manager,callback){var self=this;this.manager=manager;this.callback=callback;this.element=manager.element;this.target=manager.options.inputTarget;this.domHandler=function(ev){if(boolOrFn(manager.options.enable,[manager])){self.handler(ev)}};this.init()}Input.prototype={handler:function(){},init:function(){this.evEl&&addEventListeners(this.element,this.evEl,this.domHandler);this.evTarget&&addEventListeners(this.target,this.evTarget,this.domHandler);this.evWin&&addEventListeners(getWindowForElement(this.element),this.evWin,this.domHandler)},destroy:function(){this.evEl&&removeEventListeners(this.element,this.evEl,this.domHandler);this.evTarget&&removeEventListeners(this.target,this.evTarget,this.domHandler);this.evWin&&removeEventListeners(getWindowForElement(this.element),this.evWin,this.domHandler)}};function createInputInstance(manager){var Type;var inputClass=manager.options.inputClass;if(inputClass){Type=inputClass}else if(SUPPORT_POINTER_EVENTS){Type=PointerEventInput}else if(SUPPORT_ONLY_TOUCH){Type=TouchInput}else if(!SUPPORT_TOUCH){Type=MouseInput}else{Type=TouchMouseInput}return new Type(manager,inputHandler)}function inputHandler(manager,eventType,input){var pointersLen=input.pointers.length;var changedPointersLen=input.changedPointers.length;var isFirst=eventType&INPUT_START&&pointersLen-changedPointersLen===0;var isFinal=eventType&(INPUT_END|INPUT_CANCEL)&&pointersLen-changedPointersLen===0;input.isFirst=!!isFirst;input.isFinal=!!isFinal;if(isFirst){manager.session={}}input.eventType=eventType;computeInputData(manager,input);manager.emit(\"hammer.input\",input);manager.recognize(input);manager.session.prevInput=input}function computeInputData(manager,input){var session=manager.session;var pointers=input.pointers;var pointersLength=pointers.length;if(!session.firstInput){session.firstInput=simpleCloneInputData(input)}if(pointersLength>1&&!session.firstMultiple){session.firstMultiple=simpleCloneInputData(input)}else if(pointersLength===1){session.firstMultiple=false}var firstInput=session.firstInput;var firstMultiple=session.firstMultiple;var offsetCenter=firstMultiple?firstMultiple.center:firstInput.center;var center=input.center=getCenter(pointers);input.timeStamp=now();input.deltaTime=input.timeStamp-firstInput.timeStamp;input.angle=getAngle(offsetCenter,center);input.distance=getDistance(offsetCenter,center);computeDeltaXY(session,input);input.offsetDirection=getDirection(input.deltaX,input.deltaY);var overallVelocity=getVelocity(input.deltaTime,input.deltaX,input.deltaY);input.overallVelocityX=overallVelocity.x;input.overallVelocityY=overallVelocity.y;input.overallVelocity=abs(overallVelocity.x)>abs(overallVelocity.y)?overallVelocity.x:overallVelocity.y;input.scale=firstMultiple?getScale(firstMultiple.pointers,pointers):1;input.rotation=firstMultiple?getRotation(firstMultiple.pointers,pointers):0;input.maxPointers=!session.prevInput?input.pointers.length:input.pointers.length>session.prevInput.maxPointers?input.pointers.length:session.prevInput.maxPointers;computeIntervalInputData(session,input);var target=manager.element;if(hasParent(input.srcEvent.target,target)){target=input.srcEvent.target}input.target=target}function computeDeltaXY(session,input){var center=input.center;var offset=session.offsetDelta||{};var prevDelta=session.prevDelta||{};var prevInput=session.prevInput||{};if(input.eventType===INPUT_START||prevInput.eventType===INPUT_END){prevDelta=session.prevDelta={x:prevInput.deltaX||0,y:prevInput.deltaY||0};offset=session.offsetDelta={x:center.x,y:center.y}}input.deltaX=prevDelta.x+(center.x-offset.x);input.deltaY=prevDelta.y+(center.y-offset.y)}function computeIntervalInputData(session,input){var last=session.lastInterval||input,deltaTime=input.timeStamp-last.timeStamp,velocity,velocityX,velocityY,direction;if(input.eventType!=INPUT_CANCEL&&(deltaTime>COMPUTE_INTERVAL||last.velocity===undefined)){var deltaX=input.deltaX-last.deltaX;var deltaY=input.deltaY-last.deltaY;var v=getVelocity(deltaTime,deltaX,deltaY);velocityX=v.x;velocityY=v.y;velocity=abs(v.x)>abs(v.y)?v.x:v.y;direction=getDirection(deltaX,deltaY);session.lastInterval=input}else{velocity=last.velocity;velocityX=last.velocityX;velocityY=last.velocityY;direction=last.direction}input.velocity=velocity;input.velocityX=velocityX;input.velocityY=velocityY;input.direction=direction}function simpleCloneInputData(input){var pointers=[];var i=0;while(i<input.pointers.length){pointers[i]={clientX:round(input.pointers[i].clientX),clientY:round(input.pointers[i].clientY)};i++}return{timeStamp:now(),pointers:pointers,center:getCenter(pointers),deltaX:input.deltaX,deltaY:input.deltaY}}function getCenter(pointers){var pointersLength=pointers.length;if(pointersLength===1){return{x:round(pointers[0].clientX),y:round(pointers[0].clientY)}}var x=0,y=0,i=0;while(i<pointersLength){x+=pointers[i].clientX;y+=pointers[i].clientY;i++}return{x:round(x/pointersLength),y:round(y/pointersLength)}}function getVelocity(deltaTime,x,y){return{x:x/deltaTime||0,y:y/deltaTime||0}}function getDirection(x,y){if(x===y){return DIRECTION_NONE}if(abs(x)>=abs(y)){return x<0?DIRECTION_LEFT:DIRECTION_RIGHT}return y<0?DIRECTION_UP:DIRECTION_DOWN}function getDistance(p1,p2,props){if(!props){props=PROPS_XY}var x=p2[props[0]]-p1[props[0]],y=p2[props[1]]-p1[props[1]];return Math.sqrt(x*x+y*y)}function getAngle(p1,p2,props){if(!props){props=PROPS_XY}var x=p2[props[0]]-p1[props[0]],y=p2[props[1]]-p1[props[1]];return Math.atan2(y,x)*180/Math.PI}function getRotation(start,end){return getAngle(end[1],end[0],PROPS_CLIENT_XY)+getAngle(start[1],start[0],PROPS_CLIENT_XY)}function getScale(start,end){return getDistance(end[0],end[1],PROPS_CLIENT_XY)/getDistance(start[0],start[1],PROPS_CLIENT_XY)}var MOUSE_INPUT_MAP={mousedown:INPUT_START,mousemove:INPUT_MOVE,mouseup:INPUT_END};var MOUSE_ELEMENT_EVENTS=\"mousedown\";var MOUSE_WINDOW_EVENTS=\"mousemove mouseup\";function MouseInput(){this.evEl=MOUSE_ELEMENT_EVENTS;this.evWin=MOUSE_WINDOW_EVENTS;this.pressed=false;Input.apply(this,arguments)}inherit(MouseInput,Input,{handler:function MEhandler(ev){var eventType=MOUSE_INPUT_MAP[ev.type];if(eventType&INPUT_START&&ev.button===0){this.pressed=true}if(eventType&INPUT_MOVE&&ev.which!==1){eventType=INPUT_END}if(!this.pressed){return}if(eventType&INPUT_END){this.pressed=false}this.callback(this.manager,eventType,{pointers:[ev],changedPointers:[ev],pointerType:INPUT_TYPE_MOUSE,srcEvent:ev})}});var POINTER_INPUT_MAP={pointerdown:INPUT_START,pointermove:INPUT_MOVE,pointerup:INPUT_END,pointercancel:INPUT_CANCEL,pointerout:INPUT_CANCEL};var IE10_POINTER_TYPE_ENUM={2:INPUT_TYPE_TOUCH,3:INPUT_TYPE_PEN,4:INPUT_TYPE_MOUSE,5:INPUT_TYPE_KINECT};var POINTER_ELEMENT_EVENTS=\"pointerdown\";var POINTER_WINDOW_EVENTS=\"pointermove pointerup pointercancel\";if(window.MSPointerEvent&&!window.PointerEvent){POINTER_ELEMENT_EVENTS=\"MSPointerDown\";POINTER_WINDOW_EVENTS=\"MSPointerMove MSPointerUp MSPointerCancel\"}function PointerEventInput(){this.evEl=POINTER_ELEMENT_EVENTS;this.evWin=POINTER_WINDOW_EVENTS;Input.apply(this,arguments);this.store=this.manager.session.pointerEvents=[]}inherit(PointerEventInput,Input,{handler:function PEhandler(ev){var store=this.store;var removePointer=false;var eventTypeNormalized=ev.type.toLowerCase().replace(\"ms\",\"\");var eventType=POINTER_INPUT_MAP[eventTypeNormalized];var pointerType=IE10_POINTER_TYPE_ENUM[ev.pointerType]||ev.pointerType;var isTouch=pointerType==INPUT_TYPE_TOUCH;var storeIndex=inArray(store,ev.pointerId,\"pointerId\");if(eventType&INPUT_START&&(ev.button===0||isTouch)){if(storeIndex<0){store.push(ev);storeIndex=store.length-1}}else if(eventType&(INPUT_END|INPUT_CANCEL)){removePointer=true}if(storeIndex<0){return}store[storeIndex]=ev;this.callback(this.manager,eventType,{pointers:store,changedPointers:[ev],pointerType:pointerType,srcEvent:ev});if(removePointer){store.splice(storeIndex,1)}}});var SINGLE_TOUCH_INPUT_MAP={touchstart:INPUT_START,touchmove:INPUT_MOVE,touchend:INPUT_END,touchcancel:INPUT_CANCEL};var SINGLE_TOUCH_TARGET_EVENTS=\"touchstart\";var SINGLE_TOUCH_WINDOW_EVENTS=\"touchstart touchmove touchend touchcancel\";function SingleTouchInput(){this.evTarget=SINGLE_TOUCH_TARGET_EVENTS;this.evWin=SINGLE_TOUCH_WINDOW_EVENTS;this.started=false;Input.apply(this,arguments)}inherit(SingleTouchInput,Input,{handler:function TEhandler(ev){var type=SINGLE_TOUCH_INPUT_MAP[ev.type];if(type===INPUT_START){this.started=true}if(!this.started){return}var touches=normalizeSingleTouches.call(this,ev,type);if(type&(INPUT_END|INPUT_CANCEL)&&touches[0].length-touches[1].length===0){this.started=false}this.callback(this.manager,type,{pointers:touches[0],changedPointers:touches[1],pointerType:INPUT_TYPE_TOUCH,srcEvent:ev})}});function normalizeSingleTouches(ev,type){var all=toArray(ev.touches);var changed=toArray(ev.changedTouches);if(type&(INPUT_END|INPUT_CANCEL)){all=uniqueArray(all.concat(changed),\"identifier\",true)}return[all,changed]}var TOUCH_INPUT_MAP={touchstart:INPUT_START,touchmove:INPUT_MOVE,touchend:INPUT_END,touchcancel:INPUT_CANCEL};var TOUCH_TARGET_EVENTS=\"touchstart touchmove touchend touchcancel\";function TouchInput(){this.evTarget=TOUCH_TARGET_EVENTS;this.targetIds={};Input.apply(this,arguments)}inherit(TouchInput,Input,{handler:function MTEhandler(ev){var type=TOUCH_INPUT_MAP[ev.type];var touches=getTouches.call(this,ev,type);if(!touches){return}this.callback(this.manager,type,{pointers:touches[0],changedPointers:touches[1],pointerType:INPUT_TYPE_TOUCH,srcEvent:ev})}});function getTouches(ev,type){var allTouches=toArray(ev.touches);var targetIds=this.targetIds;if(type&(INPUT_START|INPUT_MOVE)&&allTouches.length===1){targetIds[allTouches[0].identifier]=true;return[allTouches,allTouches]}var i,targetTouches,changedTouches=toArray(ev.changedTouches),changedTargetTouches=[],target=this.target;targetTouches=allTouches.filter(function(touch){return hasParent(touch.target,target)});if(type===INPUT_START){i=0;while(i<targetTouches.length){targetIds[targetTouches[i].identifier]=true;i++}}i=0;while(i<changedTouches.length){if(targetIds[changedTouches[i].identifier]){changedTargetTouches.push(changedTouches[i])}if(type&(INPUT_END|INPUT_CANCEL)){delete targetIds[changedTouches[i].identifier]}i++}if(!changedTargetTouches.length){return}return[uniqueArray(targetTouches.concat(changedTargetTouches),\"identifier\",true),changedTargetTouches]}var DEDUP_TIMEOUT=2500;var DEDUP_DISTANCE=25;function TouchMouseInput(){Input.apply(this,arguments);var handler=bindFn(this.handler,this);this.touch=new TouchInput(this.manager,handler);this.mouse=new MouseInput(this.manager,handler);this.primaryTouch=null;this.lastTouches=[]}inherit(TouchMouseInput,Input,{handler:function TMEhandler(manager,inputEvent,inputData){var isTouch=inputData.pointerType==INPUT_TYPE_TOUCH,isMouse=inputData.pointerType==INPUT_TYPE_MOUSE;if(isMouse&&inputData.sourceCapabilities&&inputData.sourceCapabilities.firesTouchEvents){return}if(isTouch){recordTouches.call(this,inputEvent,inputData)}else if(isMouse&&isSyntheticEvent.call(this,inputData)){return}this.callback(manager,inputEvent,inputData)},destroy:function destroy(){this.touch.destroy();this.mouse.destroy()}});function recordTouches(eventType,eventData){if(eventType&INPUT_START){this.primaryTouch=eventData.changedPointers[0].identifier;setLastTouch.call(this,eventData)}else if(eventType&(INPUT_END|INPUT_CANCEL)){setLastTouch.call(this,eventData)}}function setLastTouch(eventData){var touch=eventData.changedPointers[0];if(touch.identifier===this.primaryTouch){var lastTouch={x:touch.clientX,y:touch.clientY};this.lastTouches.push(lastTouch);var lts=this.lastTouches;var removeLastTouch=function(){var i=lts.indexOf(lastTouch);if(i>-1){lts.splice(i,1)}};setTimeout(removeLastTouch,DEDUP_TIMEOUT)}}function isSyntheticEvent(eventData){var x=eventData.srcEvent.clientX,y=eventData.srcEvent.clientY;for(var i=0;i<this.lastTouches.length;i++){var t=this.lastTouches[i];var dx=Math.abs(x-t.x),dy=Math.abs(y-t.y);if(dx<=DEDUP_DISTANCE&&dy<=DEDUP_DISTANCE){return true}}return false}var PREFIXED_TOUCH_ACTION=prefixed(TEST_ELEMENT.style,\"touchAction\");var NATIVE_TOUCH_ACTION=PREFIXED_TOUCH_ACTION!==undefined;var TOUCH_ACTION_COMPUTE=\"compute\";var TOUCH_ACTION_AUTO=\"auto\";var TOUCH_ACTION_MANIPULATION=\"manipulation\";var TOUCH_ACTION_NONE=\"none\";var TOUCH_ACTION_PAN_X=\"pan-x\";var TOUCH_ACTION_PAN_Y=\"pan-y\";var TOUCH_ACTION_MAP=getTouchActionProps();function TouchAction(manager,value){this.manager=manager;this.set(value)}TouchAction.prototype={set:function(value){if(value==TOUCH_ACTION_COMPUTE){value=this.compute()}if(NATIVE_TOUCH_ACTION&&this.manager.element.style&&TOUCH_ACTION_MAP[value]){this.manager.element.style[PREFIXED_TOUCH_ACTION]=value}this.actions=value.toLowerCase().trim()},update:function(){this.set(this.manager.options.touchAction)},compute:function(){var actions=[];each(this.manager.recognizers,function(recognizer){if(boolOrFn(recognizer.options.enable,[recognizer])){actions=actions.concat(recognizer.getTouchAction())}});return cleanTouchActions(actions.join(\" \"))},preventDefaults:function(input){var srcEvent=input.srcEvent;var direction=input.offsetDirection;if(this.manager.session.prevented){srcEvent.preventDefault();return}var actions=this.actions;var hasNone=inStr(actions,TOUCH_ACTION_NONE)&&!TOUCH_ACTION_MAP[TOUCH_ACTION_NONE];var hasPanY=inStr(actions,TOUCH_ACTION_PAN_Y)&&!TOUCH_ACTION_MAP[TOUCH_ACTION_PAN_Y];var hasPanX=inStr(actions,TOUCH_ACTION_PAN_X)&&!TOUCH_ACTION_MAP[TOUCH_ACTION_PAN_X];if(hasNone){var isTapPointer=input.pointers.length===1;var isTapMovement=input.distance<2;var isTapTouchTime=input.deltaTime<250;if(isTapPointer&&isTapMovement&&isTapTouchTime){return}}if(hasPanX&&hasPanY){return}if(hasNone||hasPanY&&direction&DIRECTION_HORIZONTAL||hasPanX&&direction&DIRECTION_VERTICAL){return this.preventSrc(srcEvent)}},preventSrc:function(srcEvent){this.manager.session.prevented=true;srcEvent.preventDefault()}};function cleanTouchActions(actions){if(inStr(actions,TOUCH_ACTION_NONE)){return TOUCH_ACTION_NONE}var hasPanX=inStr(actions,TOUCH_ACTION_PAN_X);var hasPanY=inStr(actions,TOUCH_ACTION_PAN_Y);if(hasPanX&&hasPanY){return TOUCH_ACTION_NONE}if(hasPanX||hasPanY){return hasPanX?TOUCH_ACTION_PAN_X:TOUCH_ACTION_PAN_Y}if(inStr(actions,TOUCH_ACTION_MANIPULATION)){return TOUCH_ACTION_MANIPULATION}return TOUCH_ACTION_AUTO}function getTouchActionProps(){if(!NATIVE_TOUCH_ACTION){return false}var touchMap={};var cssSupports=window.CSS&&window.CSS.supports;[\"auto\",\"manipulation\",\"pan-y\",\"pan-x\",\"pan-x pan-y\",\"none\"].forEach(function(val){touchMap[val]=cssSupports?window.CSS.supports(\"touch-action\",val):true});return touchMap}var STATE_POSSIBLE=1;var STATE_BEGAN=2;var STATE_CHANGED=4;var STATE_ENDED=8;var STATE_RECOGNIZED=STATE_ENDED;var STATE_CANCELLED=16;var STATE_FAILED=32;function Recognizer(options){this.options=assign({},this.defaults,options||{});this.id=uniqueId();this.manager=null;this.options.enable=ifUndefined(this.options.enable,true);this.state=STATE_POSSIBLE;this.simultaneous={};this.requireFail=[]}Recognizer.prototype={defaults:{},set:function(options){assign(this.options,options);this.manager&&this.manager.touchAction.update();return this},recognizeWith:function(otherRecognizer){if(invokeArrayArg(otherRecognizer,\"recognizeWith\",this)){return this}var simultaneous=this.simultaneous;otherRecognizer=getRecognizerByNameIfManager(otherRecognizer,this);if(!simultaneous[otherRecognizer.id]){simultaneous[otherRecognizer.id]=otherRecognizer;otherRecognizer.recognizeWith(this)}return this},dropRecognizeWith:function(otherRecognizer){if(invokeArrayArg(otherRecognizer,\"dropRecognizeWith\",this)){return this}otherRecognizer=getRecognizerByNameIfManager(otherRecognizer,this);delete this.simultaneous[otherRecognizer.id];return this},requireFailure:function(otherRecognizer){if(invokeArrayArg(otherRecognizer,\"requireFailure\",this)){return this}var requireFail=this.requireFail;otherRecognizer=getRecognizerByNameIfManager(otherRecognizer,this);if(inArray(requireFail,otherRecognizer)===-1){requireFail.push(otherRecognizer);otherRecognizer.requireFailure(this)}return this},dropRequireFailure:function(otherRecognizer){if(invokeArrayArg(otherRecognizer,\"dropRequireFailure\",this)){return this}otherRecognizer=getRecognizerByNameIfManager(otherRecognizer,this);var index=inArray(this.requireFail,otherRecognizer);if(index>-1){this.requireFail.splice(index,1)}return this},hasRequireFailures:function(){return this.requireFail.length>0},canRecognizeWith:function(otherRecognizer){return!!this.simultaneous[otherRecognizer.id]},emit:function(input){var self=this;var state=this.state;function emit(event){self.manager.emit(event,input)}if(state<STATE_ENDED){emit(self.options.event+stateStr(state))}emit(self.options.event);if(input.additionalEvent){emit(input.additionalEvent)}if(state>=STATE_ENDED){emit(self.options.event+stateStr(state))}},tryEmit:function(input){if(this.canEmit()){return this.emit(input)}this.state=STATE_FAILED},canEmit:function(){var i=0;while(i<this.requireFail.length){if(!(this.requireFail[i].state&(STATE_FAILED|STATE_POSSIBLE))){return false}i++}return true},recognize:function(inputData){var inputDataClone=assign({},inputData);if(!boolOrFn(this.options.enable,[this,inputDataClone])){this.reset();this.state=STATE_FAILED;return}if(this.state&(STATE_RECOGNIZED|STATE_CANCELLED|STATE_FAILED)){this.state=STATE_POSSIBLE}this.state=this.process(inputDataClone);if(this.state&(STATE_BEGAN|STATE_CHANGED|STATE_ENDED|STATE_CANCELLED)){this.tryEmit(inputDataClone)}},process:function(inputData){},getTouchAction:function(){},reset:function(){}};function stateStr(state){if(state&STATE_CANCELLED){return\"cancel\"}else if(state&STATE_ENDED){return\"end\"}else if(state&STATE_CHANGED){return\"move\"}else if(state&STATE_BEGAN){return\"start\"}return\"\"}function directionStr(direction){if(direction==DIRECTION_DOWN){return\"down\"}else if(direction==DIRECTION_UP){return\"up\"}else if(direction==DIRECTION_LEFT){return\"left\"}else if(direction==DIRECTION_RIGHT){return\"right\"}return\"\"}function getRecognizerByNameIfManager(otherRecognizer,recognizer){var manager=recognizer.manager;if(manager){return manager.get(otherRecognizer)}return otherRecognizer}function AttrRecognizer(){Recognizer.apply(this,arguments)}inherit(AttrRecognizer,Recognizer,{defaults:{pointers:1},attrTest:function(input){var optionPointers=this.options.pointers;return optionPointers===0||input.pointers.length===optionPointers},process:function(input){var state=this.state;var eventType=input.eventType;var isRecognized=state&(STATE_BEGAN|STATE_CHANGED);var isValid=this.attrTest(input);if(isRecognized&&(eventType&INPUT_CANCEL||!isValid)){return state|STATE_CANCELLED}else if(isRecognized||isValid){if(eventType&INPUT_END){return state|STATE_ENDED}else if(!(state&STATE_BEGAN)){return STATE_BEGAN}return state|STATE_CHANGED}return STATE_FAILED}});function PanRecognizer(){AttrRecognizer.apply(this,arguments);this.pX=null;this.pY=null}inherit(PanRecognizer,AttrRecognizer,{defaults:{event:\"pan\",threshold:10,pointers:1,direction:DIRECTION_ALL},getTouchAction:function(){var direction=this.options.direction;var actions=[];if(direction&DIRECTION_HORIZONTAL){actions.push(TOUCH_ACTION_PAN_Y)}if(direction&DIRECTION_VERTICAL){actions.push(TOUCH_ACTION_PAN_X)}return actions},directionTest:function(input){var options=this.options;var hasMoved=true;var distance=input.distance;var direction=input.direction;var x=input.deltaX;var y=input.deltaY;if(!(direction&options.direction)){if(options.direction&DIRECTION_HORIZONTAL){direction=x===0?DIRECTION_NONE:x<0?DIRECTION_LEFT:DIRECTION_RIGHT;hasMoved=x!=this.pX;distance=Math.abs(input.deltaX)}else{direction=y===0?DIRECTION_NONE:y<0?DIRECTION_UP:DIRECTION_DOWN;hasMoved=y!=this.pY;distance=Math.abs(input.deltaY)}}input.direction=direction;return hasMoved&&distance>options.threshold&&direction&options.direction},attrTest:function(input){return AttrRecognizer.prototype.attrTest.call(this,input)&&(this.state&STATE_BEGAN||!(this.state&STATE_BEGAN)&&this.directionTest(input))},emit:function(input){this.pX=input.deltaX;this.pY=input.deltaY;var direction=directionStr(input.direction);if(direction){input.additionalEvent=this.options.event+direction}this._super.emit.call(this,input)}});function PinchRecognizer(){AttrRecognizer.apply(this,arguments)}inherit(PinchRecognizer,AttrRecognizer,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[TOUCH_ACTION_NONE]},attrTest:function(input){return this._super.attrTest.call(this,input)&&(Math.abs(input.scale-1)>this.options.threshold||this.state&STATE_BEGAN)},emit:function(input){if(input.scale!==1){var inOut=input.scale<1?\"in\":\"out\";input.additionalEvent=this.options.event+inOut}this._super.emit.call(this,input)}});function PressRecognizer(){Recognizer.apply(this,arguments);this._timer=null;this._input=null}inherit(PressRecognizer,Recognizer,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[TOUCH_ACTION_AUTO]},process:function(input){var options=this.options;var validPointers=input.pointers.length===options.pointers;var validMovement=input.distance<options.threshold;var validTime=input.deltaTime>options.time;this._input=input;if(!validMovement||!validPointers||input.eventType&(INPUT_END|INPUT_CANCEL)&&!validTime){this.reset()}else if(input.eventType&INPUT_START){this.reset();this._timer=setTimeoutContext(function(){this.state=STATE_RECOGNIZED;this.tryEmit()},options.time,this)}else if(input.eventType&INPUT_END){return STATE_RECOGNIZED}return STATE_FAILED},reset:function(){clearTimeout(this._timer)},emit:function(input){if(this.state!==STATE_RECOGNIZED){return}if(input&&input.eventType&INPUT_END){this.manager.emit(this.options.event+\"up\",input)}else{this._input.timeStamp=now();this.manager.emit(this.options.event,this._input)}}});function RotateRecognizer(){AttrRecognizer.apply(this,arguments)}inherit(RotateRecognizer,AttrRecognizer,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[TOUCH_ACTION_NONE]},attrTest:function(input){return this._super.attrTest.call(this,input)&&(Math.abs(input.rotation)>this.options.threshold||this.state&STATE_BEGAN)}});function SwipeRecognizer(){AttrRecognizer.apply(this,arguments)}inherit(SwipeRecognizer,AttrRecognizer,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:DIRECTION_HORIZONTAL|DIRECTION_VERTICAL,pointers:1},getTouchAction:function(){return PanRecognizer.prototype.getTouchAction.call(this)},attrTest:function(input){var direction=this.options.direction;var velocity;if(direction&(DIRECTION_HORIZONTAL|DIRECTION_VERTICAL)){velocity=input.overallVelocity}else if(direction&DIRECTION_HORIZONTAL){velocity=input.overallVelocityX}else if(direction&DIRECTION_VERTICAL){velocity=input.overallVelocityY}return this._super.attrTest.call(this,input)&&direction&input.offsetDirection&&input.distance>this.options.threshold&&input.maxPointers==this.options.pointers&&abs(velocity)>this.options.velocity&&input.eventType&INPUT_END},emit:function(input){var direction=directionStr(input.offsetDirection);if(direction){this.manager.emit(this.options.event+direction,input)}this.manager.emit(this.options.event,input)}});function TapRecognizer(){Recognizer.apply(this,arguments);this.pTime=false;this.pCenter=false;this._timer=null;this._input=null;this.count=0}inherit(TapRecognizer,Recognizer,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[TOUCH_ACTION_MANIPULATION]},process:function(input){var options=this.options;var validPointers=input.pointers.length===options.pointers;var validMovement=input.distance<options.threshold;var validTouchTime=input.deltaTime<options.time;this.reset();if(input.eventType&INPUT_START&&this.count===0){return this.failTimeout()}if(validMovement&&validTouchTime&&validPointers){if(input.eventType!=INPUT_END){return this.failTimeout()}var validInterval=this.pTime?input.timeStamp-this.pTime<options.interval:true;var validMultiTap=!this.pCenter||getDistance(this.pCenter,input.center)<options.posThreshold;this.pTime=input.timeStamp;this.pCenter=input.center;if(!validMultiTap||!validInterval){this.count=1}else{this.count+=1}this._input=input;var tapCount=this.count%options.taps;if(tapCount===0){if(!this.hasRequireFailures()){return STATE_RECOGNIZED}else{this._timer=setTimeoutContext(function(){this.state=STATE_RECOGNIZED;this.tryEmit()},options.interval,this);return STATE_BEGAN}}}return STATE_FAILED},failTimeout:function(){this._timer=setTimeoutContext(function(){this.state=STATE_FAILED},this.options.interval,this);return STATE_FAILED},reset:function(){clearTimeout(this._timer)},emit:function(){if(this.state==STATE_RECOGNIZED){this._input.tapCount=this.count;this.manager.emit(this.options.event,this._input)}}});function Hammer(element,options){options=options||{};options.recognizers=ifUndefined(options.recognizers,Hammer.defaults.preset);return new Manager(element,options)}Hammer.VERSION=\"2.0.7\";Hammer.defaults={domEvents:false,touchAction:TOUCH_ACTION_COMPUTE,enable:true,inputTarget:null,inputClass:null,preset:[[RotateRecognizer,{enable:false}],[PinchRecognizer,{enable:false},[\"rotate\"]],[SwipeRecognizer,{direction:DIRECTION_HORIZONTAL}],[PanRecognizer,{direction:DIRECTION_HORIZONTAL},[\"swipe\"]],[TapRecognizer],[TapRecognizer,{event:\"doubletap\",taps:2},[\"tap\"]],[PressRecognizer]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};var STOP=1;var FORCED_STOP=2;function Manager(element,options){this.options=assign({},Hammer.defaults,options||{});this.options.inputTarget=this.options.inputTarget||element;this.handlers={};this.session={};this.recognizers=[];this.oldCssProps={};this.element=element;this.input=createInputInstance(this);this.touchAction=new TouchAction(this,this.options.touchAction);toggleCssProps(this,true);each(this.options.recognizers,function(item){var recognizer=this.add(new item[0](item[1]));item[2]&&recognizer.recognizeWith(item[2]);item[3]&&recognizer.requireFailure(item[3])},this)}Manager.prototype={set:function(options){assign(this.options,options);if(options.touchAction){this.touchAction.update()}if(options.inputTarget){this.input.destroy();this.input.target=options.inputTarget;this.input.init()}return this},stop:function(force){this.session.stopped=force?FORCED_STOP:STOP},recognize:function(inputData){var session=this.session;if(session.stopped){return}this.touchAction.preventDefaults(inputData)\n;var recognizer;var recognizers=this.recognizers;var curRecognizer=session.curRecognizer;if(!curRecognizer||curRecognizer&&curRecognizer.state&STATE_RECOGNIZED){curRecognizer=session.curRecognizer=null}var i=0;while(i<recognizers.length){recognizer=recognizers[i];if(session.stopped!==FORCED_STOP&&(!curRecognizer||recognizer==curRecognizer||recognizer.canRecognizeWith(curRecognizer))){recognizer.recognize(inputData)}else{recognizer.reset()}if(!curRecognizer&&recognizer.state&(STATE_BEGAN|STATE_CHANGED|STATE_ENDED)){curRecognizer=session.curRecognizer=recognizer}i++}},get:function(recognizer){if(recognizer instanceof Recognizer){return recognizer}var recognizers=this.recognizers;for(var i=0;i<recognizers.length;i++){if(recognizers[i].options.event==recognizer){return recognizers[i]}}return null},add:function(recognizer){if(invokeArrayArg(recognizer,\"add\",this)){return this}var existing=this.get(recognizer.options.event);if(existing){this.remove(existing)}this.recognizers.push(recognizer);recognizer.manager=this;this.touchAction.update();return recognizer},remove:function(recognizer){if(invokeArrayArg(recognizer,\"remove\",this)){return this}recognizer=this.get(recognizer);if(recognizer){var recognizers=this.recognizers;var index=inArray(recognizers,recognizer);if(index!==-1){recognizers.splice(index,1);this.touchAction.update()}}return this},on:function(events,handler){if(events===undefined){return}if(handler===undefined){return}var handlers=this.handlers;each(splitStr(events),function(event){handlers[event]=handlers[event]||[];handlers[event].push(handler)});return this},off:function(events,handler){if(events===undefined){return}var handlers=this.handlers;each(splitStr(events),function(event){if(!handler){delete handlers[event]}else{handlers[event]&&handlers[event].splice(inArray(handlers[event],handler),1)}});return this},emit:function(event,data){if(this.options.domEvents){triggerDomEvent(event,data)}var handlers=this.handlers[event]&&this.handlers[event].slice();if(!handlers||!handlers.length){return}data.type=event;data.preventDefault=function(){data.srcEvent.preventDefault()};var i=0;while(i<handlers.length){handlers[i](data);i++}},destroy:function(){this.element&&toggleCssProps(this,false);this.handlers={};this.session={};this.input.destroy();this.element=null}};function toggleCssProps(manager,add){var element=manager.element;if(!element.style){return}var prop;each(manager.options.cssProps,function(value,name){prop=prefixed(element.style,name);if(add){manager.oldCssProps[prop]=element.style[prop];element.style[prop]=value}else{element.style[prop]=manager.oldCssProps[prop]||\"\"}});if(!add){manager.oldCssProps={}}}function triggerDomEvent(event,data){var gestureEvent=document.createEvent(\"Event\");gestureEvent.initEvent(event,true,true);gestureEvent.gesture=data;data.target.dispatchEvent(gestureEvent)}assign(Hammer,{INPUT_START:INPUT_START,INPUT_MOVE:INPUT_MOVE,INPUT_END:INPUT_END,INPUT_CANCEL:INPUT_CANCEL,STATE_POSSIBLE:STATE_POSSIBLE,STATE_BEGAN:STATE_BEGAN,STATE_CHANGED:STATE_CHANGED,STATE_ENDED:STATE_ENDED,STATE_RECOGNIZED:STATE_RECOGNIZED,STATE_CANCELLED:STATE_CANCELLED,STATE_FAILED:STATE_FAILED,DIRECTION_NONE:DIRECTION_NONE,DIRECTION_LEFT:DIRECTION_LEFT,DIRECTION_RIGHT:DIRECTION_RIGHT,DIRECTION_UP:DIRECTION_UP,DIRECTION_DOWN:DIRECTION_DOWN,DIRECTION_HORIZONTAL:DIRECTION_HORIZONTAL,DIRECTION_VERTICAL:DIRECTION_VERTICAL,DIRECTION_ALL:DIRECTION_ALL,Manager:Manager,Input:Input,TouchAction:TouchAction,TouchInput:TouchInput,MouseInput:MouseInput,PointerEventInput:PointerEventInput,TouchMouseInput:TouchMouseInput,SingleTouchInput:SingleTouchInput,Recognizer:Recognizer,AttrRecognizer:AttrRecognizer,Tap:TapRecognizer,Pan:PanRecognizer,Swipe:SwipeRecognizer,Pinch:PinchRecognizer,Rotate:RotateRecognizer,Press:PressRecognizer,on:addEventListeners,off:removeEventListeners,each:each,merge:merge,extend:extend,assign:assign,inherit:inherit,bindFn:bindFn,prefixed:prefixed});var freeGlobal=typeof window!==\"undefined\"?window:typeof self!==\"undefined\"?self:{};freeGlobal.Hammer=Hammer;if(true){!(__WEBPACK_AMD_DEFINE_RESULT__=function(){return Hammer}.call(exports,__webpack_require__,exports,module),__WEBPACK_AMD_DEFINE_RESULT__!==undefined&&(module.exports=__WEBPACK_AMD_DEFINE_RESULT__))}else if(typeof module!=\"undefined\"&&module.exports){module.exports=Hammer}else{window[exportName]=Hammer}})(window,document,\"Hammer\")},function(module,exports,__webpack_require__){\"use strict\";exports.util=__webpack_require__(2);exports.DOMutil=__webpack_require__(14);exports.DataSet=__webpack_require__(11);exports.DataView=__webpack_require__(12);exports.Queue=__webpack_require__(43);exports.Timeline=__webpack_require__(178);exports.Graph2d=__webpack_require__(180);exports.timeline={Core:__webpack_require__(65),DateUtil:__webpack_require__(36),Range:__webpack_require__(64),stack:__webpack_require__(100),TimeStep:__webpack_require__(66),components:{items:{Item:__webpack_require__(38),BackgroundItem:__webpack_require__(103),BoxItem:__webpack_require__(101),PointItem:__webpack_require__(102),RangeItem:__webpack_require__(70)},BackgroundGroup:__webpack_require__(69),Component:__webpack_require__(16),CurrentTime:__webpack_require__(67),CustomTime:__webpack_require__(46),DataAxis:__webpack_require__(107),DataScale:__webpack_require__(108),GraphGroup:__webpack_require__(109),Group:__webpack_require__(68),ItemSet:__webpack_require__(99),Legend:__webpack_require__(112),LineGraph:__webpack_require__(106),TimeAxis:__webpack_require__(45)}};exports.moment=__webpack_require__(9);exports.Hammer=__webpack_require__(10);exports.keycharm=__webpack_require__(35)},function(module,exports,__webpack_require__){\"use strict\";var moment=__webpack_require__(9);var util=__webpack_require__(2);var DataSet=__webpack_require__(11);var DataView=__webpack_require__(12);var Range=__webpack_require__(64);var Core=__webpack_require__(65);var TimeAxis=__webpack_require__(45);var CurrentTime=__webpack_require__(67);var CustomTime=__webpack_require__(46);var ItemSet=__webpack_require__(99);var printStyle=__webpack_require__(15).printStyle;var allOptions=__webpack_require__(105).allOptions;var configureOptions=__webpack_require__(105).configureOptions;var Configurator=__webpack_require__(71)[\"default\"];var Validator=__webpack_require__(15)[\"default\"];function Timeline(container,items,groups,options){if(!(this instanceof Timeline)){throw new SyntaxError(\"Constructor must be called with the new operator\")}if(!(Array.isArray(groups)||groups instanceof DataSet||groups instanceof DataView)&&groups instanceof Object){var forthArgument=options;options=groups;groups=forthArgument}if(options&&options.throttleRedraw){console.warn('Timeline option \"throttleRedraw\" is DEPRICATED and no longer supported. It will be removed in the next MAJOR release.')}var me=this;this.defaultOptions={start:null,end:null,autoResize:true,orientation:{axis:\"bottom\",item:\"bottom\"},moment:moment,width:null,height:null,maxHeight:null,minHeight:null};this.options=util.deepExtend({},this.defaultOptions);this._create(container);if(!options||options&&typeof options.rtl==\"undefined\"){this.dom.root.style.visibility=\"hidden\";var directionFromDom,domNode=this.dom.root;while(!directionFromDom&&domNode){directionFromDom=window.getComputedStyle(domNode,null).direction;domNode=domNode.parentElement}this.options.rtl=directionFromDom&&directionFromDom.toLowerCase()==\"rtl\"}else{this.options.rtl=options.rtl}this.options.rollingMode=options&&options.rollingMode;this.options.onInitialDrawComplete=options&&options.onInitialDrawComplete;this.components=[];this.body={dom:this.dom,domProps:this.props,emitter:{on:this.on.bind(this),off:this.off.bind(this),emit:this.emit.bind(this)},hiddenDates:[],util:{getScale:function getScale(){return me.timeAxis.step.scale},getStep:function getStep(){return me.timeAxis.step.step},toScreen:me._toScreen.bind(me),toGlobalScreen:me._toGlobalScreen.bind(me),toTime:me._toTime.bind(me),toGlobalTime:me._toGlobalTime.bind(me)}};this.range=new Range(this.body,this.options);this.components.push(this.range);this.body.range=this.range;this.timeAxis=new TimeAxis(this.body,this.options);this.timeAxis2=null;this.components.push(this.timeAxis);this.currentTime=new CurrentTime(this.body,this.options);this.components.push(this.currentTime);this.itemSet=new ItemSet(this.body,this.options);this.components.push(this.itemSet);this.itemsData=null;this.groupsData=null;this.dom.root.onclick=function(event){me.emit(\"click\",me.getEventProperties(event))};this.dom.root.ondblclick=function(event){me.emit(\"doubleClick\",me.getEventProperties(event))};this.dom.root.oncontextmenu=function(event){me.emit(\"contextmenu\",me.getEventProperties(event))};this.dom.root.onmouseover=function(event){me.emit(\"mouseOver\",me.getEventProperties(event))};if(window.PointerEvent){this.dom.root.onpointerdown=function(event){me.emit(\"mouseDown\",me.getEventProperties(event))};this.dom.root.onpointermove=function(event){me.emit(\"mouseMove\",me.getEventProperties(event))};this.dom.root.onpointerup=function(event){me.emit(\"mouseUp\",me.getEventProperties(event))}}else{this.dom.root.onmousemove=function(event){me.emit(\"mouseMove\",me.getEventProperties(event))};this.dom.root.onmousedown=function(event){me.emit(\"mouseDown\",me.getEventProperties(event))};this.dom.root.onmouseup=function(event){me.emit(\"mouseUp\",me.getEventProperties(event))}}this.initialFitDone=false;this.on(\"changed\",function(){if(this.itemsData==null||this.options.rollingMode)return;if(!me.initialFitDone){me.initialFitDone=true;if(me.options.start!=undefined||me.options.end!=undefined){if(me.options.start==undefined||me.options.end==undefined){var range=me.getItemRange()}var start=me.options.start!=undefined?me.options.start:range.min;var end=me.options.end!=undefined?me.options.end:range.max;me.setWindow(start,end,{animation:false})}else{me.fit({animation:false})}}if(!me.initialDrawDone&&me.initialRangeChangeDone){me.initialDrawDone=true;me.dom.root.style.visibility=\"visible\";if(me.options.onInitialDrawComplete){setTimeout(function(){return me.options.onInitialDrawComplete()},0)}}});if(options){this.setOptions(options)}if(groups){this.setGroups(groups)}if(items){this.setItems(items)}this._redraw()}Timeline.prototype=new Core;Timeline.prototype._createConfigurator=function(){return new Configurator(this,this.dom.container,configureOptions)};Timeline.prototype.redraw=function(){this.itemSet&&this.itemSet.markDirty({refreshItems:true});this._redraw()};Timeline.prototype.setOptions=function(options){var errorFound=Validator.validate(options,allOptions);if(errorFound===true){console.log(\"%cErrors have been found in the supplied options object.\",printStyle)}Core.prototype.setOptions.call(this,options);if(\"type\"in options){if(options.type!==this.options.type){this.options.type=options.type;var itemsData=this.itemsData;if(itemsData){var selection=this.getSelection();this.setItems(null);this.setItems(itemsData);this.setSelection(selection)}}}};Timeline.prototype.setItems=function(items){var newDataSet;if(!items){newDataSet=null}else if(items instanceof DataSet||items instanceof DataView){newDataSet=items}else{newDataSet=new DataSet(items,{type:{start:\"Date\",end:\"Date\"}})}this.itemsData=newDataSet;this.itemSet&&this.itemSet.setItems(newDataSet)};Timeline.prototype.setGroups=function(groups){var newDataSet;if(!groups){newDataSet=null}else{var filter=function filter(group){return group.visible!==false};if(groups instanceof DataSet||groups instanceof DataView){newDataSet=new DataView(groups,{filter:filter})}else{newDataSet=new DataSet(groups.filter(filter))}}this.groupsData=newDataSet;this.itemSet.setGroups(newDataSet)};Timeline.prototype.setData=function(data){if(data&&data.groups){this.setGroups(data.groups)}if(data&&data.items){this.setItems(data.items)}};Timeline.prototype.setSelection=function(ids,options){this.itemSet&&this.itemSet.setSelection(ids);if(options&&options.focus){this.focus(ids,options)}};Timeline.prototype.getSelection=function(){return this.itemSet&&this.itemSet.getSelection()||[]};Timeline.prototype.focus=function(id,options){if(!this.itemsData||id==undefined)return;var ids=Array.isArray(id)?id:[id];var itemsData=this.itemsData.getDataSet().get(ids,{type:{start:\"Date\",end:\"Date\"}});var start=null;var end=null;itemsData.forEach(function(itemData){var s=itemData.start.valueOf();var e=\"end\"in itemData?itemData.end.valueOf():itemData.start.valueOf();if(start===null||s<start){start=s}if(end===null||e>end){end=e}});if(start!==null&&end!==null){var me=this;var item=this.itemSet.items[ids[0]];var startPos=this._getScrollTop()*-1;var initialVerticalScroll=null;var verticalAnimationFrame=function verticalAnimationFrame(ease,willDraw,done){var verticalScroll=getItemVerticalScroll(me,item);if(!initialVerticalScroll){initialVerticalScroll=verticalScroll}if(initialVerticalScroll.itemTop==verticalScroll.itemTop&&!initialVerticalScroll.shouldScroll){return}else if(initialVerticalScroll.itemTop!=verticalScroll.itemTop&&verticalScroll.shouldScroll){initialVerticalScroll=verticalScroll;startPos=me._getScrollTop()*-1}var from=startPos;var to=initialVerticalScroll.scrollOffset;var scrollTop=done?to:from+(to-from)*ease;me._setScrollTop(-scrollTop);if(!willDraw){me._redraw()}};var setFinalVerticalPosition=function setFinalVerticalPosition(){var finalVerticalScroll=getItemVerticalScroll(me,item);if(finalVerticalScroll.shouldScroll&&finalVerticalScroll.itemTop!=initialVerticalScroll.itemTop){me._setScrollTop(-finalVerticalScroll.scrollOffset);me._redraw()}};var finalVerticalCallback=function finalVerticalCallback(){setFinalVerticalPosition();setTimeout(setFinalVerticalPosition,100)};var middle=(start+end)/2;var interval=Math.max(this.range.end-this.range.start,(end-start)*1.1);var animation=options&&options.animation!==undefined?options.animation:true;if(!animation){initialVerticalScroll={shouldScroll:false,scrollOffset:-1,itemTop:-1}}this.range.setRange(middle-interval/2,middle+interval/2,{animation:animation},finalVerticalCallback,verticalAnimationFrame)}};Timeline.prototype.fit=function(options,callback){var animation=options&&options.animation!==undefined?options.animation:true;var range;var dataset=this.itemsData&&this.itemsData.getDataSet();if(dataset.length===1&&dataset.get()[0].end===undefined){range=this.getDataRange();this.moveTo(range.min.valueOf(),{animation:animation},callback)}else{range=this.getItemRange();this.range.setRange(range.min,range.max,{animation:animation},callback)}};function getStart(item){return util.convert(item.data.start,\"Date\").valueOf()}function getEnd(item){var end=item.data.end!=undefined?item.data.end:item.data.start;return util.convert(end,\"Date\").valueOf()}function getItemVerticalScroll(timeline,item){var leftHeight=timeline.props.leftContainer.height;var contentHeight=timeline.props.left.height;var group=item.parent;var offset=group.top;var shouldScroll=true;var orientation=timeline.timeAxis.options.orientation.axis;var itemTop=function itemTop(){if(orientation==\"bottom\"){return group.height-item.top-item.height}else{return item.top}};var currentScrollHeight=timeline._getScrollTop()*-1;var targetOffset=offset+itemTop();var height=item.height;if(targetOffset<currentScrollHeight){if(offset+leftHeight<=offset+itemTop()+height){offset+=itemTop()-timeline.itemSet.options.margin.item.vertical}}else if(targetOffset+height>currentScrollHeight+leftHeight){offset+=itemTop()+height-leftHeight+timeline.itemSet.options.margin.item.vertical}else{shouldScroll=false}offset=Math.min(offset,contentHeight-leftHeight);return{shouldScroll:shouldScroll,scrollOffset:offset,itemTop:targetOffset}}Timeline.prototype.getItemRange=function(){var range=this.getDataRange();var min=range.min!==null?range.min.valueOf():null;var max=range.max!==null?range.max.valueOf():null;var minItem=null;var maxItem=null;if(min!=null&&max!=null){var interval=max-min;if(interval<=0){interval=10}var factor=interval/this.props.center.width;var redrawQueue={};var redrawQueueLength=0;util.forEach(this.itemSet.items,function(item,key){if(item.groupShowing){var returnQueue=true;redrawQueue[key]=item.redraw(returnQueue);redrawQueueLength=redrawQueue[key].length}});var needRedraw=redrawQueueLength>0;if(needRedraw){for(var i=0;i<redrawQueueLength;i++){util.forEach(redrawQueue,function(fns){fns[i]()})}}util.forEach(this.itemSet.items,function(item){var start=getStart(item);var end=getEnd(item);var startSide;var endSide;if(this.options.rtl){startSide=start-(item.getWidthRight()+10)*factor;endSide=end+(item.getWidthLeft()+10)*factor}else{startSide=start-(item.getWidthLeft()+10)*factor;endSide=end+(item.getWidthRight()+10)*factor}if(startSide<min){min=startSide;minItem=item}if(endSide>max){max=endSide;maxItem=item}}.bind(this));if(minItem&&maxItem){var lhs=minItem.getWidthLeft()+10;var rhs=maxItem.getWidthRight()+10;var delta=this.props.center.width-lhs-rhs;if(delta>0){if(this.options.rtl){min=getStart(minItem)-rhs*interval/delta;max=getEnd(maxItem)+lhs*interval/delta}else{min=getStart(minItem)-lhs*interval/delta;max=getEnd(maxItem)+rhs*interval/delta}}}}return{min:min!=null?new Date(min):null,max:max!=null?new Date(max):null}};Timeline.prototype.getDataRange=function(){var min=null;var max=null;var dataset=this.itemsData&&this.itemsData.getDataSet();if(dataset){dataset.forEach(function(item){var start=util.convert(item.start,\"Date\").valueOf();var end=util.convert(item.end!=undefined?item.end:item.start,\"Date\").valueOf();if(min===null||start<min){min=start}if(max===null||end>max){max=end}})}return{min:min!=null?new Date(min):null,max:max!=null?new Date(max):null}};Timeline.prototype.getEventProperties=function(event){var clientX=event.center?event.center.x:event.clientX;var clientY=event.center?event.center.y:event.clientY;var x;if(this.options.rtl){x=util.getAbsoluteRight(this.dom.centerContainer)-clientX}else{x=clientX-util.getAbsoluteLeft(this.dom.centerContainer)}var y=clientY-util.getAbsoluteTop(this.dom.centerContainer);var item=this.itemSet.itemFromTarget(event);var group=this.itemSet.groupFromTarget(event);var customTime=CustomTime.customTimeFromTarget(event);var snap=this.itemSet.options.snap||null;var scale=this.body.util.getScale();var step=this.body.util.getStep();var time=this._toTime(x);var snappedTime=snap?snap(time,scale,step):time;var element=util.getTarget(event);var what=null;if(item!=null){what=\"item\"}else if(customTime!=null){what=\"custom-time\"}else if(util.hasParent(element,this.timeAxis.dom.foreground)){what=\"axis\"}else if(this.timeAxis2&&util.hasParent(element,this.timeAxis2.dom.foreground)){what=\"axis\"}else if(util.hasParent(element,this.itemSet.dom.labelSet)){what=\"group-label\"}else if(util.hasParent(element,this.currentTime.bar)){what=\"current-time\"}else if(util.hasParent(element,this.dom.center)){what=\"background\"}return{event:event,item:item?item.id:null,group:group?group.groupId:null,what:what,pageX:event.srcEvent?event.srcEvent.pageX:event.pageX,pageY:event.srcEvent?event.srcEvent.pageY:event.pageY,x:x,y:y,time:time,snappedTime:snappedTime}};Timeline.prototype.toggleRollingMode=function(){if(this.range.rolling){this.range.stopRolling()}else{if(this.options.rollingMode==undefined){this.setOptions(this.options)}this.range.startRolling()}};module.exports=Timeline},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _stringify=__webpack_require__(19);var _stringify2=_interopRequireDefault(_stringify);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Hammer=__webpack_require__(10);var hammerUtil=__webpack_require__(37);var util=__webpack_require__(2);var ColorPicker=function(){function ColorPicker(){var pixelRatio=arguments.length>0&&arguments[0]!==undefined?arguments[0]:1;(0,_classCallCheck3[\"default\"])(this,ColorPicker);this.pixelRatio=pixelRatio;this.generated=false;this.centerCoordinates={x:289/2,y:289/2};this.r=289*.49;this.color={r:255,g:255,b:255,a:1};this.hueCircle=undefined;this.initialColor={r:255,g:255,b:255,a:1};this.previousColor=undefined;this.applied=false;this.updateCallback=function(){};this.closeCallback=function(){};this._create()}(0,_createClass3[\"default\"])(ColorPicker,[{key:\"insertTo\",value:function insertTo(container){if(this.hammer!==undefined){this.hammer.destroy();this.hammer=undefined}this.container=container;this.container.appendChild(this.frame);this._bindHammer();this._setSize()}},{key:\"setUpdateCallback\",value:function setUpdateCallback(callback){if(typeof callback===\"function\"){this.updateCallback=callback}else{throw new Error(\"Function attempted to set as colorPicker update callback is not a function.\")}}},{key:\"setCloseCallback\",value:function setCloseCallback(callback){if(typeof callback===\"function\"){this.closeCallback=callback}else{throw new Error(\"Function attempted to set as colorPicker closing callback is not a function.\")}}},{key:\"_isColorString\",value:function _isColorString(color){var htmlColors={black:\"#000000\",navy:\"#000080\",darkblue:\"#00008B\",mediumblue:\"#0000CD\",blue:\"#0000FF\",darkgreen:\"#006400\",green:\"#008000\",teal:\"#008080\",darkcyan:\"#008B8B\",deepskyblue:\"#00BFFF\",darkturquoise:\"#00CED1\",mediumspringgreen:\"#00FA9A\",lime:\"#00FF00\",springgreen:\"#00FF7F\",aqua:\"#00FFFF\",cyan:\"#00FFFF\",midnightblue:\"#191970\",dodgerblue:\"#1E90FF\",lightseagreen:\"#20B2AA\",forestgreen:\"#228B22\",seagreen:\"#2E8B57\",darkslategray:\"#2F4F4F\",limegreen:\"#32CD32\",mediumseagreen:\"#3CB371\",turquoise:\"#40E0D0\",royalblue:\"#4169E1\",steelblue:\"#4682B4\",darkslateblue:\"#483D8B\",mediumturquoise:\"#48D1CC\",indigo:\"#4B0082\",darkolivegreen:\"#556B2F\",cadetblue:\"#5F9EA0\",cornflowerblue:\"#6495ED\",mediumaquamarine:\"#66CDAA\",dimgray:\"#696969\",slateblue:\"#6A5ACD\",olivedrab:\"#6B8E23\",slategray:\"#708090\",lightslategray:\"#778899\",mediumslateblue:\"#7B68EE\",lawngreen:\"#7CFC00\",chartreuse:\"#7FFF00\",aquamarine:\"#7FFFD4\",maroon:\"#800000\",purple:\"#800080\",olive:\"#808000\",gray:\"#808080\",skyblue:\"#87CEEB\",lightskyblue:\"#87CEFA\",blueviolet:\"#8A2BE2\",darkred:\"#8B0000\",darkmagenta:\"#8B008B\",saddlebrown:\"#8B4513\",darkseagreen:\"#8FBC8F\",lightgreen:\"#90EE90\",mediumpurple:\"#9370D8\",darkviolet:\"#9400D3\",palegreen:\"#98FB98\",darkorchid:\"#9932CC\",yellowgreen:\"#9ACD32\",sienna:\"#A0522D\",brown:\"#A52A2A\",darkgray:\"#A9A9A9\",lightblue:\"#ADD8E6\",greenyellow:\"#ADFF2F\",paleturquoise:\"#AFEEEE\",lightsteelblue:\"#B0C4DE\",powderblue:\"#B0E0E6\",firebrick:\"#B22222\",darkgoldenrod:\"#B8860B\",mediumorchid:\"#BA55D3\",rosybrown:\"#BC8F8F\",darkkhaki:\"#BDB76B\",silver:\"#C0C0C0\",mediumvioletred:\"#C71585\",indianred:\"#CD5C5C\",peru:\"#CD853F\",chocolate:\"#D2691E\",tan:\"#D2B48C\",lightgrey:\"#D3D3D3\",palevioletred:\"#D87093\",thistle:\"#D8BFD8\",orchid:\"#DA70D6\",goldenrod:\"#DAA520\",crimson:\"#DC143C\",gainsboro:\"#DCDCDC\",plum:\"#DDA0DD\",burlywood:\"#DEB887\",lightcyan:\"#E0FFFF\",lavender:\"#E6E6FA\",darksalmon:\"#E9967A\",violet:\"#EE82EE\",palegoldenrod:\"#EEE8AA\",lightcoral:\"#F08080\",khaki:\"#F0E68C\",aliceblue:\"#F0F8FF\",honeydew:\"#F0FFF0\",azure:\"#F0FFFF\",sandybrown:\"#F4A460\",wheat:\"#F5DEB3\",beige:\"#F5F5DC\",whitesmoke:\"#F5F5F5\",mintcream:\"#F5FFFA\",ghostwhite:\"#F8F8FF\",salmon:\"#FA8072\",antiquewhite:\"#FAEBD7\",linen:\"#FAF0E6\",lightgoldenrodyellow:\"#FAFAD2\",oldlace:\"#FDF5E6\",red:\"#FF0000\",fuchsia:\"#FF00FF\",magenta:\"#FF00FF\",deeppink:\"#FF1493\",orangered:\"#FF4500\",tomato:\"#FF6347\",hotpink:\"#FF69B4\",coral:\"#FF7F50\",darkorange:\"#FF8C00\",lightsalmon:\"#FFA07A\",orange:\"#FFA500\",lightpink:\"#FFB6C1\",pink:\"#FFC0CB\",gold:\"#FFD700\",peachpuff:\"#FFDAB9\",navajowhite:\"#FFDEAD\",moccasin:\"#FFE4B5\",bisque:\"#FFE4C4\",mistyrose:\"#FFE4E1\",blanchedalmond:\"#FFEBCD\",papayawhip:\"#FFEFD5\",lavenderblush:\"#FFF0F5\",seashell:\"#FFF5EE\",cornsilk:\"#FFF8DC\",lemonchiffon:\"#FFFACD\",floralwhite:\"#FFFAF0\",snow:\"#FFFAFA\",yellow:\"#FFFF00\",lightyellow:\"#FFFFE0\",ivory:\"#FFFFF0\",white:\"#FFFFFF\"};if(typeof color===\"string\"){return htmlColors[color]}}},{key:\"setColor\",value:function setColor(color){var setInitial=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;if(color===\"none\"){return}var rgba=void 0;var htmlColor=this._isColorString(color);if(htmlColor!==undefined){color=htmlColor}if(util.isString(color)===true){if(util.isValidRGB(color)===true){var rgbaArray=color.substr(4).substr(0,color.length-5).split(\",\");rgba={r:rgbaArray[0],g:rgbaArray[1],b:rgbaArray[2],a:1}}else if(util.isValidRGBA(color)===true){var _rgbaArray=color.substr(5).substr(0,color.length-6).split(\",\");rgba={r:_rgbaArray[0],g:_rgbaArray[1],b:_rgbaArray[2],a:_rgbaArray[3]}}else if(util.isValidHex(color)===true){var rgbObj=util.hexToRGB(color);rgba={r:rgbObj.r,g:rgbObj.g,b:rgbObj.b,a:1}}}else{if(color instanceof Object){if(color.r!==undefined&&color.g!==undefined&&color.b!==undefined){var alpha=color.a!==undefined?color.a:\"1.0\";rgba={r:color.r,g:color.g,b:color.b,a:alpha}}}}if(rgba===undefined){throw new Error(\"Unknown color passed to the colorPicker. Supported are strings: rgb, hex, rgba. Object: rgb ({r:r,g:g,b:b,[a:a]}). Supplied: \"+(0,_stringify2[\"default\"])(color))}else{this._setColor(rgba,setInitial)}}},{key:\"show\",value:function show(){if(this.closeCallback!==undefined){this.closeCallback();this.closeCallback=undefined}this.applied=false;this.frame.style.display=\"block\";this._generateHueCircle()}},{key:\"_hide\",value:function _hide(){var _this=this;var storePrevious=arguments.length>0&&arguments[0]!==undefined?arguments[0]:true;if(storePrevious===true){this.previousColor=util.extend({},this.color)}if(this.applied===true){this.updateCallback(this.initialColor)}this.frame.style.display=\"none\";setTimeout(function(){if(_this.closeCallback!==undefined){_this.closeCallback();_this.closeCallback=undefined}},0)}},{key:\"_save\",value:function _save(){this.updateCallback(this.color);this.applied=false;this._hide()}},{key:\"_apply\",value:function _apply(){this.applied=true;this.updateCallback(this.color);this._updatePicker(this.color)}},{key:\"_loadLast\",value:function _loadLast(){if(this.previousColor!==undefined){this.setColor(this.previousColor,false)}else{alert(\"There is no last color to load...\")}}},{key:\"_setColor\",value:function _setColor(rgba){var setInitial=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;if(setInitial===true){this.initialColor=util.extend({},rgba)}this.color=rgba;var hsv=util.RGBToHSV(rgba.r,rgba.g,rgba.b);var angleConvert=2*Math.PI;var radius=this.r*hsv.s;var x=this.centerCoordinates.x+radius*Math.sin(angleConvert*hsv.h);var y=this.centerCoordinates.y+radius*Math.cos(angleConvert*hsv.h);this.colorPickerSelector.style.left=x-.5*this.colorPickerSelector.clientWidth+\"px\";this.colorPickerSelector.style.top=y-.5*this.colorPickerSelector.clientHeight+\"px\";this._updatePicker(rgba)}},{key:\"_setOpacity\",value:function _setOpacity(value){this.color.a=value/100;this._updatePicker(this.color)}},{key:\"_setBrightness\",value:function _setBrightness(value){var hsv=util.RGBToHSV(this.color.r,this.color.g,this.color.b);hsv.v=value/100;var rgba=util.HSVToRGB(hsv.h,hsv.s,hsv.v);rgba[\"a\"]=this.color.a;this.color=rgba;this._updatePicker()}},{key:\"_updatePicker\",value:function _updatePicker(){var rgba=arguments.length>0&&arguments[0]!==undefined?arguments[0]:this.color;var hsv=util.RGBToHSV(rgba.r,rgba.g,rgba.b);var ctx=this.colorPickerCanvas.getContext(\"2d\");if(this.pixelRation===undefined){this.pixelRatio=(window.devicePixelRatio||1)/(ctx.webkitBackingStorePixelRatio||ctx.mozBackingStorePixelRatio||ctx.msBackingStorePixelRatio||ctx.oBackingStorePixelRatio||ctx.backingStorePixelRatio||1)}ctx.setTransform(this.pixelRatio,0,0,this.pixelRatio,0,0);var w=this.colorPickerCanvas.clientWidth;var h=this.colorPickerCanvas.clientHeight;ctx.clearRect(0,0,w,h);ctx.putImageData(this.hueCircle,0,0);ctx.fillStyle=\"rgba(0,0,0,\"+(1-hsv.v)+\")\";ctx.circle(this.centerCoordinates.x,this.centerCoordinates.y,this.r);ctx.fill();this.brightnessRange.value=100*hsv.v;this.opacityRange.value=100*rgba.a;this.initialColorDiv.style.backgroundColor=\"rgba(\"+this.initialColor.r+\",\"+this.initialColor.g+\",\"+this.initialColor.b+\",\"+this.initialColor.a+\")\";this.newColorDiv.style.backgroundColor=\"rgba(\"+this.color.r+\",\"+this.color.g+\",\"+this.color.b+\",\"+this.color.a+\")\"}},{key:\"_setSize\",value:function _setSize(){this.colorPickerCanvas.style.width=\"100%\";this.colorPickerCanvas.style.height=\"100%\";this.colorPickerCanvas.width=289*this.pixelRatio;this.colorPickerCanvas.height=289*this.pixelRatio}},{key:\"_create\",value:function _create(){this.frame=document.createElement(\"div\");this.frame.className=\"vis-color-picker\";this.colorPickerDiv=document.createElement(\"div\");this.colorPickerSelector=document.createElement(\"div\");this.colorPickerSelector.className=\"vis-selector\";this.colorPickerDiv.appendChild(this.colorPickerSelector);this.colorPickerCanvas=document.createElement(\"canvas\");this.colorPickerDiv.appendChild(this.colorPickerCanvas);if(!this.colorPickerCanvas.getContext){var noCanvas=document.createElement(\"DIV\");noCanvas.style.color=\"red\";noCanvas.style.fontWeight=\"bold\";noCanvas.style.padding=\"10px\";noCanvas.innerHTML=\"Error: your browser does not support HTML canvas\";this.colorPickerCanvas.appendChild(noCanvas)}else{var ctx=this.colorPickerCanvas.getContext(\"2d\");this.pixelRatio=(window.devicePixelRatio||1)/(ctx.webkitBackingStorePixelRatio||ctx.mozBackingStorePixelRatio||ctx.msBackingStorePixelRatio||ctx.oBackingStorePixelRatio||ctx.backingStorePixelRatio||1);this.colorPickerCanvas.getContext(\"2d\").setTransform(this.pixelRatio,0,0,this.pixelRatio,0,0)}this.colorPickerDiv.className=\"vis-color\";this.opacityDiv=document.createElement(\"div\");this.opacityDiv.className=\"vis-opacity\";this.brightnessDiv=document.createElement(\"div\");this.brightnessDiv.className=\"vis-brightness\";this.arrowDiv=document.createElement(\"div\");this.arrowDiv.className=\"vis-arrow\";this.opacityRange=document.createElement(\"input\");try{this.opacityRange.type=\"range\";this.opacityRange.min=\"0\";this.opacityRange.max=\"100\"}catch(err){}this.opacityRange.value=\"100\";this.opacityRange.className=\"vis-range\";this.brightnessRange=document.createElement(\"input\");try{this.brightnessRange.type=\"range\";this.brightnessRange.min=\"0\";this.brightnessRange.max=\"100\"}catch(err){}this.brightnessRange.value=\"100\";this.brightnessRange.className=\"vis-range\";this.opacityDiv.appendChild(this.opacityRange);this.brightnessDiv.appendChild(this.brightnessRange);var me=this;this.opacityRange.onchange=function(){me._setOpacity(this.value)};this.opacityRange.oninput=function(){me._setOpacity(this.value)};this.brightnessRange.onchange=function(){me._setBrightness(this.value)};this.brightnessRange.oninput=function(){me._setBrightness(this.value)};this.brightnessLabel=document.createElement(\"div\");this.brightnessLabel.className=\"vis-label vis-brightness\";this.brightnessLabel.innerHTML=\"brightness:\";this.opacityLabel=document.createElement(\"div\");this.opacityLabel.className=\"vis-label vis-opacity\";this.opacityLabel.innerHTML=\"opacity:\";this.newColorDiv=document.createElement(\"div\");this.newColorDiv.className=\"vis-new-color\";this.newColorDiv.innerHTML=\"new\";this.initialColorDiv=document.createElement(\"div\");this.initialColorDiv.className=\"vis-initial-color\";this.initialColorDiv.innerHTML=\"initial\";this.cancelButton=document.createElement(\"div\");this.cancelButton.className=\"vis-button vis-cancel\";this.cancelButton.innerHTML=\"cancel\";this.cancelButton.onclick=this._hide.bind(this,false);this.applyButton=document.createElement(\"div\");this.applyButton.className=\"vis-button vis-apply\";this.applyButton.innerHTML=\"apply\";this.applyButton.onclick=this._apply.bind(this);this.saveButton=document.createElement(\"div\");this.saveButton.className=\"vis-button vis-save\";this.saveButton.innerHTML=\"save\";this.saveButton.onclick=this._save.bind(this);this.loadButton=document.createElement(\"div\");this.loadButton.className=\"vis-button vis-load\";this.loadButton.innerHTML=\"load last\";this.loadButton.onclick=this._loadLast.bind(this)\n;this.frame.appendChild(this.colorPickerDiv);this.frame.appendChild(this.arrowDiv);this.frame.appendChild(this.brightnessLabel);this.frame.appendChild(this.brightnessDiv);this.frame.appendChild(this.opacityLabel);this.frame.appendChild(this.opacityDiv);this.frame.appendChild(this.newColorDiv);this.frame.appendChild(this.initialColorDiv);this.frame.appendChild(this.cancelButton);this.frame.appendChild(this.applyButton);this.frame.appendChild(this.saveButton);this.frame.appendChild(this.loadButton)}},{key:\"_bindHammer\",value:function _bindHammer(){var _this2=this;this.drag={};this.pinch={};this.hammer=new Hammer(this.colorPickerCanvas);this.hammer.get(\"pinch\").set({enable:true});hammerUtil.onTouch(this.hammer,function(event){_this2._moveSelector(event)});this.hammer.on(\"tap\",function(event){_this2._moveSelector(event)});this.hammer.on(\"panstart\",function(event){_this2._moveSelector(event)});this.hammer.on(\"panmove\",function(event){_this2._moveSelector(event)});this.hammer.on(\"panend\",function(event){_this2._moveSelector(event)})}},{key:\"_generateHueCircle\",value:function _generateHueCircle(){if(this.generated===false){var ctx=this.colorPickerCanvas.getContext(\"2d\");if(this.pixelRation===undefined){this.pixelRatio=(window.devicePixelRatio||1)/(ctx.webkitBackingStorePixelRatio||ctx.mozBackingStorePixelRatio||ctx.msBackingStorePixelRatio||ctx.oBackingStorePixelRatio||ctx.backingStorePixelRatio||1)}ctx.setTransform(this.pixelRatio,0,0,this.pixelRatio,0,0);var w=this.colorPickerCanvas.clientWidth;var h=this.colorPickerCanvas.clientHeight;ctx.clearRect(0,0,w,h);var x=void 0,y=void 0,hue=void 0,sat=void 0;this.centerCoordinates={x:w*.5,y:h*.5};this.r=.49*w;var angleConvert=2*Math.PI/360;var hfac=1/360;var sfac=1/this.r;var rgb=void 0;for(hue=0;hue<360;hue++){for(sat=0;sat<this.r;sat++){x=this.centerCoordinates.x+sat*Math.sin(angleConvert*hue);y=this.centerCoordinates.y+sat*Math.cos(angleConvert*hue);rgb=util.HSVToRGB(hue*hfac,sat*sfac,1);ctx.fillStyle=\"rgb(\"+rgb.r+\",\"+rgb.g+\",\"+rgb.b+\")\";ctx.fillRect(x-.5,y-.5,2,2)}}ctx.strokeStyle=\"rgba(0,0,0,1)\";ctx.circle(this.centerCoordinates.x,this.centerCoordinates.y,this.r);ctx.stroke();this.hueCircle=ctx.getImageData(0,0,w,h)}this.generated=true}},{key:\"_moveSelector\",value:function _moveSelector(event){var rect=this.colorPickerDiv.getBoundingClientRect();var left=event.center.x-rect.left;var top=event.center.y-rect.top;var centerY=.5*this.colorPickerDiv.clientHeight;var centerX=.5*this.colorPickerDiv.clientWidth;var x=left-centerX;var y=top-centerY;var angle=Math.atan2(x,y);var radius=.98*Math.min(Math.sqrt(x*x+y*y),centerX);var newTop=Math.cos(angle)*radius+centerY;var newLeft=Math.sin(angle)*radius+centerX;this.colorPickerSelector.style.top=newTop-.5*this.colorPickerSelector.clientHeight+\"px\";this.colorPickerSelector.style.left=newLeft-.5*this.colorPickerSelector.clientWidth+\"px\";var h=angle/(2*Math.PI);h=h<0?h+1:h;var s=radius/this.r;var hsv=util.RGBToHSV(this.color.r,this.color.g,this.color.b);hsv.h=h;hsv.s=s;var rgba=util.HSVToRGB(hsv.h,hsv.s,hsv.v);rgba[\"a\"]=this.color.a;this.color=rgba;this.initialColorDiv.style.backgroundColor=\"rgba(\"+this.initialColor.r+\",\"+this.initialColor.g+\",\"+this.initialColor.b+\",\"+this.initialColor.a+\")\";this.newColorDiv.style.backgroundColor=\"rgba(\"+this.color.r+\",\"+this.color.g+\",\"+this.color.b+\",\"+this.color.a+\")\"}}]);return ColorPicker}();exports[\"default\"]=ColorPicker},function(module,exports,__webpack_require__){\"use strict\";var moment=__webpack_require__(9);var util=__webpack_require__(2);var DataSet=__webpack_require__(11);var DataView=__webpack_require__(12);var Range=__webpack_require__(64);var Core=__webpack_require__(65);var TimeAxis=__webpack_require__(45);var CurrentTime=__webpack_require__(67);var CustomTime=__webpack_require__(46);var LineGraph=__webpack_require__(106);var printStyle=__webpack_require__(15).printStyle;var allOptions=__webpack_require__(113).allOptions;var configureOptions=__webpack_require__(113).configureOptions;var Configurator=__webpack_require__(71)[\"default\"];var Validator=__webpack_require__(15)[\"default\"];function Graph2d(container,items,groups,options){if(!(Array.isArray(groups)||groups instanceof DataSet||groups instanceof DataView)&&groups instanceof Object){var forthArgument=options;options=groups;groups=forthArgument}if(options&&options.throttleRedraw){console.warn('Graph2d option \"throttleRedraw\" is DEPRICATED and no longer supported. It will be removed in the next MAJOR release.')}var me=this;this.defaultOptions={start:null,end:null,autoResize:true,orientation:{axis:\"bottom\",item:\"bottom\"},moment:moment,width:null,height:null,maxHeight:null,minHeight:null};this.options=util.deepExtend({},this.defaultOptions);this._create(container);this.components=[];this.body={dom:this.dom,domProps:this.props,emitter:{on:this.on.bind(this),off:this.off.bind(this),emit:this.emit.bind(this)},hiddenDates:[],util:{toScreen:me._toScreen.bind(me),toGlobalScreen:me._toGlobalScreen.bind(me),toTime:me._toTime.bind(me),toGlobalTime:me._toGlobalTime.bind(me)}};this.range=new Range(this.body);this.components.push(this.range);this.body.range=this.range;this.timeAxis=new TimeAxis(this.body);this.components.push(this.timeAxis);this.currentTime=new CurrentTime(this.body);this.components.push(this.currentTime);this.linegraph=new LineGraph(this.body);this.components.push(this.linegraph);this.itemsData=null;this.groupsData=null;this.on(\"tap\",function(event){me.emit(\"click\",me.getEventProperties(event))});this.on(\"doubletap\",function(event){me.emit(\"doubleClick\",me.getEventProperties(event))});this.dom.root.oncontextmenu=function(event){me.emit(\"contextmenu\",me.getEventProperties(event))};if(options){this.setOptions(options)}if(groups){this.setGroups(groups)}if(items){this.setItems(items)}this._redraw()}Graph2d.prototype=new Core;Graph2d.prototype.setOptions=function(options){var errorFound=Validator.validate(options,allOptions);if(errorFound===true){console.log(\"%cErrors have been found in the supplied options object.\",printStyle)}Core.prototype.setOptions.call(this,options)};Graph2d.prototype.setItems=function(items){var initialLoad=this.itemsData==null;var newDataSet;if(!items){newDataSet=null}else if(items instanceof DataSet||items instanceof DataView){newDataSet=items}else{newDataSet=new DataSet(items,{type:{start:\"Date\",end:\"Date\"}})}this.itemsData=newDataSet;this.linegraph&&this.linegraph.setItems(newDataSet);if(initialLoad){if(this.options.start!=undefined||this.options.end!=undefined){var start=this.options.start!=undefined?this.options.start:null;var end=this.options.end!=undefined?this.options.end:null;this.setWindow(start,end,{animation:false})}else{this.fit({animation:false})}}};Graph2d.prototype.setGroups=function(groups){var newDataSet;if(!groups){newDataSet=null}else if(groups instanceof DataSet||groups instanceof DataView){newDataSet=groups}else{newDataSet=new DataSet(groups)}this.groupsData=newDataSet;this.linegraph.setGroups(newDataSet)};Graph2d.prototype.getLegend=function(groupId,width,height){if(width===undefined){width=15}if(height===undefined){height=15}if(this.linegraph.groups[groupId]!==undefined){return this.linegraph.groups[groupId].getLegend(width,height)}else{return\"cannot find group:'\"+groupId+\"'\"}};Graph2d.prototype.isGroupVisible=function(groupId){if(this.linegraph.groups[groupId]!==undefined){return this.linegraph.groups[groupId].visible&&(this.linegraph.options.groups.visibility[groupId]===undefined||this.linegraph.options.groups.visibility[groupId]==true)}else{return false}};Graph2d.prototype.getDataRange=function(){var min=null;var max=null;for(var groupId in this.linegraph.groups){if(this.linegraph.groups.hasOwnProperty(groupId)){if(this.linegraph.groups[groupId].visible==true){for(var i=0;i<this.linegraph.groups[groupId].itemsData.length;i++){var item=this.linegraph.groups[groupId].itemsData[i];var value=util.convert(item.x,\"Date\").valueOf();min=min==null?value:min>value?value:min;max=max==null?value:max<value?value:max}}}}return{min:min!=null?new Date(min):null,max:max!=null?new Date(max):null}};Graph2d.prototype.getEventProperties=function(event){var clientX=event.center?event.center.x:event.clientX;var clientY=event.center?event.center.y:event.clientY;var x=clientX-util.getAbsoluteLeft(this.dom.centerContainer);var y=clientY-util.getAbsoluteTop(this.dom.centerContainer);var time=this._toTime(x);var customTime=CustomTime.customTimeFromTarget(event);var element=util.getTarget(event);var what=null;if(util.hasParent(element,this.timeAxis.dom.foreground)){what=\"axis\"}else if(this.timeAxis2&&util.hasParent(element,this.timeAxis2.dom.foreground)){what=\"axis\"}else if(util.hasParent(element,this.linegraph.yAxisLeft.dom.frame)){what=\"data-axis\"}else if(util.hasParent(element,this.linegraph.yAxisRight.dom.frame)){what=\"data-axis\"}else if(util.hasParent(element,this.linegraph.legendLeft.dom.frame)){what=\"legend\"}else if(util.hasParent(element,this.linegraph.legendRight.dom.frame)){what=\"legend\"}else if(customTime!=null){what=\"custom-time\"}else if(util.hasParent(element,this.currentTime.bar)){what=\"current-time\"}else if(util.hasParent(element,this.dom.center)){what=\"background\"}var value=[];var yAxisLeft=this.linegraph.yAxisLeft;var yAxisRight=this.linegraph.yAxisRight;if(!yAxisLeft.hidden&&this.itemsData.length>0){value.push(yAxisLeft.screenToValue(y))}if(!yAxisRight.hidden&&this.itemsData.length>0){value.push(yAxisRight.screenToValue(y))}return{event:event,what:what,pageX:event.srcEvent?event.srcEvent.pageX:event.pageX,pageY:event.srcEvent?event.srcEvent.pageY:event.pageY,x:x,y:y,time:time,value:value}};Graph2d.prototype._createConfigurator=function(){return new Configurator(this,this.dom.container,configureOptions)};module.exports=Graph2d},function(module,exports,__webpack_require__){\"use strict\";exports.util=__webpack_require__(2);exports.DOMutil=__webpack_require__(14);exports.DataSet=__webpack_require__(11);exports.DataView=__webpack_require__(12);exports.Queue=__webpack_require__(43);exports.Network=__webpack_require__(182);exports.network={Images:__webpack_require__(116),dotparser:__webpack_require__(114),gephiParser:__webpack_require__(115),allOptions:__webpack_require__(122)};exports.network.convertDot=function(input){return exports.network.dotparser.DOTToGraph(input)};exports.network.convertGephi=function(input,options){return exports.network.gephiParser.parseGephi(input,options)};exports.moment=__webpack_require__(9);exports.Hammer=__webpack_require__(10);exports.keycharm=__webpack_require__(35)},function(module,exports,__webpack_require__){\"use strict\";__webpack_require__(183);var Emitter=__webpack_require__(44);var util=__webpack_require__(2);var dotparser=__webpack_require__(114);var gephiParser=__webpack_require__(115);var Activator=__webpack_require__(97);var locales=__webpack_require__(184);var Images=__webpack_require__(116)[\"default\"];var Groups=__webpack_require__(186)[\"default\"];var NodesHandler=__webpack_require__(187)[\"default\"];var EdgesHandler=__webpack_require__(214)[\"default\"];var PhysicsEngine=__webpack_require__(220)[\"default\"];var ClusterEngine=__webpack_require__(227)[\"default\"];var CanvasRenderer=__webpack_require__(229)[\"default\"];var Canvas=__webpack_require__(230)[\"default\"];var View=__webpack_require__(231)[\"default\"];var InteractionHandler=__webpack_require__(232)[\"default\"];var SelectionHandler=__webpack_require__(234)[\"default\"];var LayoutEngine=__webpack_require__(235)[\"default\"];var ManipulationSystem=__webpack_require__(237)[\"default\"];var Configurator=__webpack_require__(71)[\"default\"];var Validator=__webpack_require__(15)[\"default\"];var _require=__webpack_require__(15),printStyle=_require.printStyle;var _require2=__webpack_require__(122),allOptions=_require2.allOptions,configureOptions=_require2.configureOptions;var KamadaKawai=__webpack_require__(238)[\"default\"];function Network(container,data,options){var _this=this;if(!(this instanceof Network)){throw new SyntaxError(\"Constructor must be called with the new operator\")}this.options={};this.defaultOptions={locale:\"en\",locales:locales,clickToUse:false};util.extend(this.options,this.defaultOptions);this.body={container:container,nodes:{},nodeIndices:[],edges:{},edgeIndices:[],emitter:{on:this.on.bind(this),off:this.off.bind(this),emit:this.emit.bind(this),once:this.once.bind(this)},eventListeners:{onTap:function onTap(){},onTouch:function onTouch(){},onDoubleTap:function onDoubleTap(){},onHold:function onHold(){},onDragStart:function onDragStart(){},onDrag:function onDrag(){},onDragEnd:function onDragEnd(){},onMouseWheel:function onMouseWheel(){},onPinch:function onPinch(){},onMouseMove:function onMouseMove(){},onRelease:function onRelease(){},onContext:function onContext(){}},data:{nodes:null,edges:null},functions:{createNode:function createNode(){},createEdge:function createEdge(){},getPointer:function getPointer(){}},modules:{},view:{scale:1,translation:{x:0,y:0}}};this.bindEventListeners();this.images=new Images(function(){return _this.body.emitter.emit(\"_requestRedraw\")});this.groups=new Groups;this.canvas=new Canvas(this.body);this.selectionHandler=new SelectionHandler(this.body,this.canvas);this.interactionHandler=new InteractionHandler(this.body,this.canvas,this.selectionHandler);this.view=new View(this.body,this.canvas);this.renderer=new CanvasRenderer(this.body,this.canvas);this.physics=new PhysicsEngine(this.body);this.layoutEngine=new LayoutEngine(this.body);this.clustering=new ClusterEngine(this.body);this.manipulation=new ManipulationSystem(this.body,this.canvas,this.selectionHandler);this.nodesHandler=new NodesHandler(this.body,this.images,this.groups,this.layoutEngine);this.edgesHandler=new EdgesHandler(this.body,this.images,this.groups);this.body.modules[\"kamadaKawai\"]=new KamadaKawai(this.body,150,.05);this.body.modules[\"clustering\"]=this.clustering;this.canvas._create();this.setOptions(options);this.setData(data)}Emitter(Network.prototype);Network.prototype.setOptions=function(options){var _this2=this;if(options!==undefined){var errorFound=Validator.validate(options,allOptions);if(errorFound===true){console.log(\"%cErrors have been found in the supplied options object.\",printStyle)}var fields=[\"locale\",\"locales\",\"clickToUse\"];util.selectiveDeepExtend(fields,this.options,options);options=this.layoutEngine.setOptions(options.layout,options);this.canvas.setOptions(options);this.groups.setOptions(options.groups);this.nodesHandler.setOptions(options.nodes);this.edgesHandler.setOptions(options.edges);this.physics.setOptions(options.physics);this.manipulation.setOptions(options.manipulation,options,this.options);this.interactionHandler.setOptions(options.interaction);this.renderer.setOptions(options.interaction);this.selectionHandler.setOptions(options.interaction);if(options.groups!==undefined){this.body.emitter.emit(\"refreshNodes\")}if(\"configure\"in options){if(!this.configurator){this.configurator=new Configurator(this,this.body.container,configureOptions,this.canvas.pixelRatio)}this.configurator.setOptions(options.configure)}if(this.configurator&&this.configurator.options.enabled===true){var networkOptions={nodes:{},edges:{},layout:{},interaction:{},manipulation:{},physics:{},global:{}};util.deepExtend(networkOptions.nodes,this.nodesHandler.options);util.deepExtend(networkOptions.edges,this.edgesHandler.options);util.deepExtend(networkOptions.layout,this.layoutEngine.options);util.deepExtend(networkOptions.interaction,this.selectionHandler.options);util.deepExtend(networkOptions.interaction,this.renderer.options);util.deepExtend(networkOptions.interaction,this.interactionHandler.options);util.deepExtend(networkOptions.manipulation,this.manipulation.options);util.deepExtend(networkOptions.physics,this.physics.options);util.deepExtend(networkOptions.global,this.canvas.options);util.deepExtend(networkOptions.global,this.options);this.configurator.setModuleOptions(networkOptions)}if(options.clickToUse!==undefined){if(options.clickToUse===true){if(this.activator===undefined){this.activator=new Activator(this.canvas.frame);this.activator.on(\"change\",function(){_this2.body.emitter.emit(\"activate\")})}}else{if(this.activator!==undefined){this.activator.destroy();delete this.activator}this.body.emitter.emit(\"activate\")}}else{this.body.emitter.emit(\"activate\")}this.canvas.setSize();this.body.emitter.emit(\"startSimulation\")}};Network.prototype._updateVisibleIndices=function(){var nodes=this.body.nodes;var edges=this.body.edges;this.body.nodeIndices=[];this.body.edgeIndices=[];for(var nodeId in nodes){if(nodes.hasOwnProperty(nodeId)){if(!this.clustering._isClusteredNode(nodeId)&&nodes[nodeId].options.hidden===false){this.body.nodeIndices.push(nodes[nodeId].id)}}}for(var edgeId in edges){if(edges.hasOwnProperty(edgeId)){var edge=edges[edgeId];var fromNode=nodes[edge.fromId];var toNode=nodes[edge.toId];var edgeNodesPresent=fromNode!==undefined&&toNode!==undefined;var isVisible=!this.clustering._isClusteredEdge(edgeId)&&edge.options.hidden===false&&edgeNodesPresent&&fromNode.options.hidden===false&&toNode.options.hidden===false;if(isVisible){this.body.edgeIndices.push(edge.id)}}}};Network.prototype.bindEventListeners=function(){var _this3=this;this.body.emitter.on(\"_dataChanged\",function(){_this3.edgesHandler._updateState();_this3.body.emitter.emit(\"_dataUpdated\")});this.body.emitter.on(\"_dataUpdated\",function(){_this3.clustering._updateState();_this3._updateVisibleIndices();_this3._updateValueRange(_this3.body.nodes);_this3._updateValueRange(_this3.body.edges);_this3.body.emitter.emit(\"startSimulation\");_this3.body.emitter.emit(\"_requestRedraw\")})};Network.prototype.setData=function(data){this.body.emitter.emit(\"resetPhysics\");this.body.emitter.emit(\"_resetData\");this.selectionHandler.unselectAll();if(data&&data.dot&&(data.nodes||data.edges)){throw new SyntaxError('Data must contain either parameter \"dot\" or '+' parameter pair \"nodes\" and \"edges\", but not both.')}this.setOptions(data&&data.options);if(data&&data.dot){console.log(\"The dot property has been deprecated. Please use the static convertDot method to convert DOT into vis.network format and use the normal data format with nodes and edges. This converter is used like this: var data = vis.network.convertDot(dotString);\");var dotData=dotparser.DOTToGraph(data.dot);this.setData(dotData);return}else if(data&&data.gephi){console.log(\"The gephi property has been deprecated. Please use the static convertGephi method to convert gephi into vis.network format and use the normal data format with nodes and edges. This converter is used like this: var data = vis.network.convertGephi(gephiJson);\");var gephiData=gephiParser.parseGephi(data.gephi);this.setData(gephiData);return}else{this.nodesHandler.setData(data&&data.nodes,true);this.edgesHandler.setData(data&&data.edges,true)}this.body.emitter.emit(\"_dataChanged\");this.body.emitter.emit(\"_dataLoaded\");this.body.emitter.emit(\"initPhysics\")};Network.prototype.destroy=function(){this.body.emitter.emit(\"destroy\");this.body.emitter.off();this.off();delete this.groups;delete this.canvas;delete this.selectionHandler;delete this.interactionHandler;delete this.view;delete this.renderer;delete this.physics;delete this.layoutEngine;delete this.clustering;delete this.manipulation;delete this.nodesHandler;delete this.edgesHandler;delete this.configurator;delete this.images;for(var nodeId in this.body.nodes){if(!this.body.nodes.hasOwnProperty(nodeId))continue;delete this.body.nodes[nodeId]}for(var edgeId in this.body.edges){if(!this.body.edges.hasOwnProperty(edgeId))continue;delete this.body.edges[edgeId]}util.recursiveDOMDelete(this.body.container)};Network.prototype._updateValueRange=function(obj){var id;var valueMin=undefined;var valueMax=undefined;var valueTotal=0;for(id in obj){if(obj.hasOwnProperty(id)){var value=obj[id].getValue();if(value!==undefined){valueMin=valueMin===undefined?value:Math.min(value,valueMin);valueMax=valueMax===undefined?value:Math.max(value,valueMax);valueTotal+=value}}}if(valueMin!==undefined&&valueMax!==undefined){for(id in obj){if(obj.hasOwnProperty(id)){obj[id].setValueRange(valueMin,valueMax,valueTotal)}}}};Network.prototype.isActive=function(){return!this.activator||this.activator.active};Network.prototype.setSize=function(){return this.canvas.setSize.apply(this.canvas,arguments)};Network.prototype.canvasToDOM=function(){return this.canvas.canvasToDOM.apply(this.canvas,arguments)};Network.prototype.DOMtoCanvas=function(){return this.canvas.DOMtoCanvas.apply(this.canvas,arguments)};Network.prototype.findNode=function(){return this.clustering.findNode.apply(this.clustering,arguments)};Network.prototype.isCluster=function(){return this.clustering.isCluster.apply(this.clustering,arguments)};Network.prototype.openCluster=function(){return this.clustering.openCluster.apply(this.clustering,arguments)};Network.prototype.cluster=function(){return this.clustering.cluster.apply(this.clustering,arguments)};Network.prototype.getNodesInCluster=function(){return this.clustering.getNodesInCluster.apply(this.clustering,arguments)};Network.prototype.clusterByConnection=function(){return this.clustering.clusterByConnection.apply(this.clustering,arguments)};Network.prototype.clusterByHubsize=function(){return this.clustering.clusterByHubsize.apply(this.clustering,arguments)};Network.prototype.clusterOutliers=function(){return this.clustering.clusterOutliers.apply(this.clustering,arguments)};Network.prototype.getSeed=function(){return this.layoutEngine.getSeed.apply(this.layoutEngine,arguments)};Network.prototype.enableEditMode=function(){return this.manipulation.enableEditMode.apply(this.manipulation,arguments)};Network.prototype.disableEditMode=function(){return this.manipulation.disableEditMode.apply(this.manipulation,arguments)};Network.prototype.addNodeMode=function(){return this.manipulation.addNodeMode.apply(this.manipulation,arguments)};Network.prototype.editNode=function(){return this.manipulation.editNode.apply(this.manipulation,arguments)};Network.prototype.editNodeMode=function(){console.log(\"Deprecated: Please use editNode instead of editNodeMode.\");return this.manipulation.editNode.apply(this.manipulation,arguments)};Network.prototype.addEdgeMode=function(){return this.manipulation.addEdgeMode.apply(this.manipulation,arguments)};Network.prototype.editEdgeMode=function(){return this.manipulation.editEdgeMode.apply(this.manipulation,arguments)};Network.prototype.deleteSelected=function(){return this.manipulation.deleteSelected.apply(this.manipulation,arguments)};Network.prototype.getPositions=function(){return this.nodesHandler.getPositions.apply(this.nodesHandler,arguments)};Network.prototype.storePositions=function(){return this.nodesHandler.storePositions.apply(this.nodesHandler,arguments)};Network.prototype.moveNode=function(){return this.nodesHandler.moveNode.apply(this.nodesHandler,arguments)};Network.prototype.getBoundingBox=function(){return this.nodesHandler.getBoundingBox.apply(this.nodesHandler,arguments)};Network.prototype.getConnectedNodes=function(objectId){if(this.body.nodes[objectId]!==undefined){return this.nodesHandler.getConnectedNodes.apply(this.nodesHandler,arguments)}else{return this.edgesHandler.getConnectedNodes.apply(this.edgesHandler,arguments)}};Network.prototype.getConnectedEdges=function(){return this.nodesHandler.getConnectedEdges.apply(this.nodesHandler,arguments)};Network.prototype.startSimulation=function(){return this.physics.startSimulation.apply(this.physics,arguments)};Network.prototype.stopSimulation=function(){return this.physics.stopSimulation.apply(this.physics,arguments)};Network.prototype.stabilize=function(){return this.physics.stabilize.apply(this.physics,arguments)};Network.prototype.getSelection=function(){return this.selectionHandler.getSelection.apply(this.selectionHandler,arguments)};Network.prototype.setSelection=function(){return this.selectionHandler.setSelection.apply(this.selectionHandler,arguments)};Network.prototype.getSelectedNodes=function(){return this.selectionHandler.getSelectedNodes.apply(this.selectionHandler,arguments)};Network.prototype.getSelectedEdges=function(){return this.selectionHandler.getSelectedEdges.apply(this.selectionHandler,arguments)};Network.prototype.getNodeAt=function(){var node=this.selectionHandler.getNodeAt.apply(this.selectionHandler,arguments);if(node!==undefined&&node.id!==undefined){return node.id}return node};Network.prototype.getEdgeAt=function(){var edge=this.selectionHandler.getEdgeAt.apply(this.selectionHandler,arguments);if(edge!==undefined&&edge.id!==undefined){return edge.id}return edge};Network.prototype.selectNodes=function(){return this.selectionHandler.selectNodes.apply(this.selectionHandler,arguments)};Network.prototype.selectEdges=function(){return this.selectionHandler.selectEdges.apply(this.selectionHandler,arguments)};Network.prototype.unselectAll=function(){this.selectionHandler.unselectAll.apply(this.selectionHandler,arguments);this.redraw()};Network.prototype.redraw=function(){return this.renderer.redraw.apply(this.renderer,arguments)};Network.prototype.getScale=function(){return this.view.getScale.apply(this.view,arguments)};Network.prototype.getViewPosition=function(){return this.view.getViewPosition.apply(this.view,arguments)};Network.prototype.fit=function(){return this.view.fit.apply(this.view,arguments)};Network.prototype.moveTo=function(){return this.view.moveTo.apply(this.view,arguments)};Network.prototype.focus=function(){return this.view.focus.apply(this.view,arguments)};Network.prototype.releaseNode=function(){return this.view.releaseNode.apply(this.view,arguments)};Network.prototype.getOptionsFromConfigurator=function(){var options={};if(this.configurator){options=this.configurator.getOptions.apply(this.configurator)}return options};module.exports=Network},function(module,exports,__webpack_require__){\"use strict\";if(typeof CanvasRenderingContext2D!==\"undefined\"){CanvasRenderingContext2D.prototype.circle=function(x,y,r){this.beginPath();this.arc(x,y,r,0,2*Math.PI,false);this.closePath()};CanvasRenderingContext2D.prototype.square=function(x,y,r){this.beginPath();this.rect(x-r,y-r,r*2,r*2);this.closePath()};CanvasRenderingContext2D.prototype.triangle=function(x,y,r){this.beginPath();r*=1.15;y+=.275*r;var s=r*2;var s2=s/2;var ir=Math.sqrt(3)/6*s;var h=Math.sqrt(s*s-s2*s2);this.moveTo(x,y-(h-ir));this.lineTo(x+s2,y+ir);this.lineTo(x-s2,y+ir);this.lineTo(x,y-(h-ir));this.closePath()};CanvasRenderingContext2D.prototype.triangleDown=function(x,y,r){this.beginPath();r*=1.15;y-=.275*r;var s=r*2;var s2=s/2;var ir=Math.sqrt(3)/6*s;var h=Math.sqrt(s*s-s2*s2);this.moveTo(x,y+(h-ir));this.lineTo(x+s2,y-ir);this.lineTo(x-s2,y-ir);this.lineTo(x,y+(h-ir));this.closePath()};CanvasRenderingContext2D.prototype.star=function(x,y,r){this.beginPath();r*=.82;y+=.1*r;for(var n=0;n<10;n++){var radius=n%2===0?r*1.3:r*.5;this.lineTo(x+radius*Math.sin(n*2*Math.PI/10),y-radius*Math.cos(n*2*Math.PI/10))}this.closePath()};CanvasRenderingContext2D.prototype.diamond=function(x,y,r){this.beginPath();this.lineTo(x,y+r);this.lineTo(x+r,y);this.lineTo(x,y-r);this.lineTo(x-r,y);this.closePath()};CanvasRenderingContext2D.prototype.roundRect=function(x,y,w,h,r){var r2d=Math.PI/180;if(w-2*r<0){r=w/2}if(h-2*r<0){r=h/2}this.beginPath();this.moveTo(x+r,y);this.lineTo(x+w-r,y);this.arc(x+w-r,y+r,r,r2d*270,r2d*360,false);this.lineTo(x+w,y+h-r);this.arc(x+w-r,y+h-r,r,0,r2d*90,false);this.lineTo(x+r,y+h);this.arc(x+r,y+h-r,r,r2d*90,r2d*180,false);this.lineTo(x,y+r);this.arc(x+r,y+r,r,r2d*180,r2d*270,false);this.closePath()};CanvasRenderingContext2D.prototype.ellipse_vis=function(x,y,w,h){var kappa=.5522848,ox=w/2*kappa,oy=h/2*kappa,xe=x+w,ye=y+h,xm=x+w/2,ym=y+h/2;this.beginPath();this.moveTo(x,ym);this.bezierCurveTo(x,ym-oy,xm-ox,y,xm,y);this.bezierCurveTo(xm+ox,y,xe,ym-oy,xe,ym);this.bezierCurveTo(xe,ym+oy,xm+ox,ye,xm,ye);this.bezierCurveTo(xm-ox,ye,x,ym+oy,x,ym);this.closePath()};CanvasRenderingContext2D.prototype.database=function(x,y,w,h){var f=1/3;var wEllipse=w;var hEllipse=h*f;var kappa=.5522848,ox=wEllipse/2*kappa,oy=hEllipse/2*kappa,xe=x+wEllipse,ye=y+hEllipse,xm=x+wEllipse/2,ym=y+hEllipse/2,ymb=y+(h-hEllipse/2),yeb=y+h;this.beginPath();this.moveTo(xe,ym);this.bezierCurveTo(xe,ym+oy,xm+ox,ye,xm,ye);this.bezierCurveTo(xm-ox,ye,x,ym+oy,x,ym);this.bezierCurveTo(x,ym-oy,xm-ox,y,xm,y);this.bezierCurveTo(xm+ox,y,xe,ym-oy,xe,ym);this.lineTo(xe,ymb);this.bezierCurveTo(xe,ymb+oy,xm+ox,yeb,xm,yeb);this.bezierCurveTo(xm-ox,yeb,x,ymb+oy,x,ymb);this.lineTo(x,ym)};CanvasRenderingContext2D.prototype.dashedLine=function(x,y,x2,y2,pattern){this.beginPath();this.moveTo(x,y);var patternLength=pattern.length;var dx=x2-x;var dy=y2-y;var slope=dy/dx;var distRemaining=Math.sqrt(dx*dx+dy*dy);var patternIndex=0;var draw=true;var xStep=0;var dashLength=pattern[0];while(distRemaining>=.1){dashLength=pattern[patternIndex++%patternLength];if(dashLength>distRemaining){dashLength=distRemaining}xStep=Math.sqrt(dashLength*dashLength/(1+slope*slope));xStep=dx<0?-xStep:xStep;x+=xStep;y+=slope*xStep;if(draw===true){this.lineTo(x,y)}else{this.moveTo(x,y)}distRemaining-=dashLength;draw=!draw}};CanvasRenderingContext2D.prototype.hexagon=function(x,y,r){this.beginPath();var sides=6;var a=Math.PI*2/sides;this.moveTo(x+r,y);for(var i=1;i<sides;i++){this.lineTo(x+r*Math.cos(a*i),y+r*Math.sin(a*i))}this.closePath()}}},function(module,exports,__webpack_require__){\"use strict\";exports[\"en\"]={edit:\"Edit\",del:\"Delete selected\",back:\"Back\",addNode:\"Add Node\",addEdge:\"Add Edge\",editNode:\"Edit Node\",editEdge:\"Edit Edge\",addDescription:\"Click in an empty space to place a new node.\",edgeDescription:\"Click on a node and drag the edge to another node to connect them.\",editEdgeDescription:\"Click on the control points and drag them to a node to connect to it.\",createEdgeError:\"Cannot link edges to a cluster.\",deleteClusterError:\"Clusters cannot be deleted.\",editClusterError:\"Clusters cannot be edited.\"};exports[\"en_EN\"]=exports[\"en\"];exports[\"en_US\"]=exports[\"en\"];exports[\"de\"]={edit:\"Editieren\",del:\"Lösche Auswahl\",back:\"Zurück\",addNode:\"Knoten hinzufügen\",addEdge:\"Kante hinzufügen\",editNode:\"Knoten editieren\",editEdge:\"Kante editieren\",addDescription:\"Klicke auf eine freie Stelle, um einen neuen Knoten zu plazieren.\",edgeDescription:\"Klicke auf einen Knoten und ziehe die Kante zu einem anderen Knoten, um diese zu verbinden.\",editEdgeDescription:\"Klicke auf die Verbindungspunkte und ziehe diese auf einen Knoten, um sie zu verbinden.\",createEdgeError:\"Es ist nicht möglich, Kanten mit Clustern zu verbinden.\",deleteClusterError:\"Cluster können nicht gelöscht werden.\",editClusterError:\"Cluster können nicht editiert werden.\"};exports[\"de_DE\"]=exports[\"de\"];exports[\"es\"]={edit:\"Editar\",del:\"Eliminar selección\",back:\"Átras\",addNode:\"Añadir nodo\",addEdge:\"Añadir arista\",editNode:\"Editar nodo\",editEdge:\"Editar arista\",addDescription:\"Haga clic en un lugar vacío para colocar un nuevo nodo.\",edgeDescription:\"Haga clic en un nodo y arrastre la arista hacia otro nodo para conectarlos.\",editEdgeDescription:\"Haga clic en un punto de control y arrastrelo a un nodo para conectarlo.\",createEdgeError:\"No se puede conectar una arista a un grupo.\",deleteClusterError:\"No es posible eliminar grupos.\",editClusterError:\"No es posible editar grupos.\"};exports[\"es_ES\"]=exports[\"es\"];exports[\"it\"]={edit:\"Modifica\",del:\"Cancella la selezione\",back:\"Indietro\",addNode:\"Aggiungi un nodo\",addEdge:\"Aggiungi un vertice\",editNode:\"Modifica il nodo\",editEdge:\"Modifica il vertice\",addDescription:\"Clicca per aggiungere un nuovo nodo\",edgeDescription:\"Clicca su un nodo e trascinalo ad un altro nodo per connetterli.\",editEdgeDescription:\"Clicca sui Punti di controllo e trascinali ad un nodo per connetterli.\",createEdgeError:\"Non si possono collegare vertici ad un cluster\",deleteClusterError:\"I cluster non possono essere cancellati\",editClusterError:\"I clusters non possono essere modificati.\"};exports[\"it_IT\"]=exports[\"it\"];exports[\"nl\"]={edit:\"Wijzigen\",del:\"Selectie verwijderen\",\nback:\"Terug\",addNode:\"Node toevoegen\",addEdge:\"Link toevoegen\",editNode:\"Node wijzigen\",editEdge:\"Link wijzigen\",addDescription:\"Klik op een leeg gebied om een nieuwe node te maken.\",edgeDescription:\"Klik op een node en sleep de link naar een andere node om ze te verbinden.\",editEdgeDescription:\"Klik op de verbindingspunten en sleep ze naar een node om daarmee te verbinden.\",createEdgeError:\"Kan geen link maken naar een cluster.\",deleteClusterError:\"Clusters kunnen niet worden verwijderd.\",editClusterError:\"Clusters kunnen niet worden aangepast.\"};exports[\"nl_NL\"]=exports[\"nl\"];exports[\"nl_BE\"]=exports[\"nl\"];exports[\"pt-br\"]={edit:\"Editar\",del:\"Remover selecionado\",back:\"Voltar\",addNode:\"Adicionar nó\",addEdge:\"Adicionar aresta\",editNode:\"Editar nó\",editEdge:\"Editar aresta\",addDescription:\"Clique em um espaço em branco para adicionar um novo nó\",edgeDescription:\"Clique em um nó e arraste a aresta até outro nó para conectá-los\",editEdgeDescription:\"Clique nos pontos de controle e os arraste para um nó para conectá-los\",createEdgeError:\"Não foi possível linkar arestas a um cluster.\",deleteClusterError:\"Clusters não puderam ser removidos.\",editClusterError:\"Clusters não puderam ser editados.\"};exports[\"pt-BR\"]=exports[\"pt-br\"];exports[\"pt_BR\"]=exports[\"pt-br\"];exports[\"pt_br\"]=exports[\"pt-br\"];exports[\"ru\"]={edit:\"Редактировать\",del:\"Удалить выбранное\",back:\"Назад\",addNode:\"Добавить узел\",addEdge:\"Добавить ребро\",editNode:\"Редактировать узел\",editEdge:\"Редактировать ребро\",addDescription:\"Кликните в свободное место, чтобы добавить новый узел.\",edgeDescription:\"Кликните на узел и протяните ребро к другому узлу, чтобы соединить их.\",editEdgeDescription:\"Кликните на контрольные точки и перетащите их в узел, чтобы подключиться к нему.\",createEdgeError:\"Невозможно соединить ребра в кластер.\",deleteClusterError:\"Кластеры не могут быть удалены\",editClusterError:\"Кластеры недоступны для редактирования.\"};exports[\"ru_RU\"]=exports[\"ru\"];exports[\"cn\"]={edit:\"编辑\",del:\"删除选定\",back:\"返回\",addNode:\"添加节点\",addEdge:\"添加连接线\",editNode:\"编辑节点\",editEdge:\"编辑连接线\",addDescription:\"单击空白处放置新节点。\",edgeDescription:\"单击某个节点并将该连接线拖动到另一个节点以连接它们。\",editEdgeDescription:\"单击控制节点并将它们拖到节点上连接。\",createEdgeError:\"无法将连接线连接到群集。\",deleteClusterError:\"无法删除群集。\",editClusterError:\"无法编辑群集。\"};exports[\"zh_CN\"]=exports[\"cn\"]},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var CachedImage=function(){function CachedImage(){(0,_classCallCheck3[\"default\"])(this,CachedImage);this.NUM_ITERATIONS=4;this.image=new Image;this.canvas=document.createElement(\"canvas\")}(0,_createClass3[\"default\"])(CachedImage,[{key:\"init\",value:function init(){if(this.initialized())return;this.src=this.image.src;var w=this.image.width;var h=this.image.height;this.width=w;this.height=h;var h2=Math.floor(h/2);var h4=Math.floor(h/4);var h8=Math.floor(h/8);var h16=Math.floor(h/16);var w2=Math.floor(w/2);var w4=Math.floor(w/4);var w8=Math.floor(w/8);var w16=Math.floor(w/16);this.canvas.width=3*w4;this.canvas.height=h2;this.coordinates=[[0,0,w2,h2],[w2,0,w4,h4],[w2,h4,w8,h8],[5*w8,h4,w16,h16]];this._fillMipMap()}},{key:\"initialized\",value:function initialized(){return this.coordinates!==undefined}},{key:\"_fillMipMap\",value:function _fillMipMap(){var ctx=this.canvas.getContext(\"2d\");var to=this.coordinates[0];ctx.drawImage(this.image,to[0],to[1],to[2],to[3]);for(var iterations=1;iterations<this.NUM_ITERATIONS;iterations++){var from=this.coordinates[iterations-1];var _to=this.coordinates[iterations];ctx.drawImage(this.canvas,from[0],from[1],from[2],from[3],_to[0],_to[1],_to[2],_to[3])}}},{key:\"drawImageAtPosition\",value:function drawImageAtPosition(ctx,factor,left,top,width,height){if(!this.initialized())return;if(factor>2){factor*=.5;var iterations=0;while(factor>2&&iterations<this.NUM_ITERATIONS){factor*=.5;iterations+=1}if(iterations>=this.NUM_ITERATIONS){iterations=this.NUM_ITERATIONS-1}var from=this.coordinates[iterations];ctx.drawImage(this.canvas,from[0],from[1],from[2],from[3],left,top,width,height)}else{ctx.drawImage(this.image,left,top,width,height)}}}]);return CachedImage}();exports[\"default\"]=CachedImage},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Groups=function(){function Groups(){(0,_classCallCheck3[\"default\"])(this,Groups);this.clear();this.defaultIndex=0;this.groupsArray=[];this.groupIndex=0;this.defaultGroups=[{border:\"#2B7CE9\",background:\"#97C2FC\",highlight:{border:\"#2B7CE9\",background:\"#D2E5FF\"},hover:{border:\"#2B7CE9\",background:\"#D2E5FF\"}},{border:\"#FFA500\",background:\"#FFFF00\",highlight:{border:\"#FFA500\",background:\"#FFFFA3\"},hover:{border:\"#FFA500\",background:\"#FFFFA3\"}},{border:\"#FA0A10\",background:\"#FB7E81\",highlight:{border:\"#FA0A10\",background:\"#FFAFB1\"},hover:{border:\"#FA0A10\",background:\"#FFAFB1\"}},{border:\"#41A906\",background:\"#7BE141\",highlight:{border:\"#41A906\",background:\"#A1EC76\"},hover:{border:\"#41A906\",background:\"#A1EC76\"}},{border:\"#E129F0\",background:\"#EB7DF4\",highlight:{border:\"#E129F0\",background:\"#F0B3F5\"},hover:{border:\"#E129F0\",background:\"#F0B3F5\"}},{border:\"#7C29F0\",background:\"#AD85E4\",highlight:{border:\"#7C29F0\",background:\"#D3BDF0\"},hover:{border:\"#7C29F0\",background:\"#D3BDF0\"}},{border:\"#C37F00\",background:\"#FFA807\",highlight:{border:\"#C37F00\",background:\"#FFCA66\"},hover:{border:\"#C37F00\",background:\"#FFCA66\"}},{border:\"#4220FB\",background:\"#6E6EFD\",highlight:{border:\"#4220FB\",background:\"#9B9BFD\"},hover:{border:\"#4220FB\",background:\"#9B9BFD\"}},{border:\"#FD5A77\",background:\"#FFC0CB\",highlight:{border:\"#FD5A77\",background:\"#FFD1D9\"},hover:{border:\"#FD5A77\",background:\"#FFD1D9\"}},{border:\"#4AD63A\",background:\"#C2FABC\",highlight:{border:\"#4AD63A\",background:\"#E6FFE3\"},hover:{border:\"#4AD63A\",background:\"#E6FFE3\"}},{border:\"#990000\",background:\"#EE0000\",highlight:{border:\"#BB0000\",background:\"#FF3333\"},hover:{border:\"#BB0000\",background:\"#FF3333\"}},{border:\"#FF6000\",background:\"#FF6000\",highlight:{border:\"#FF6000\",background:\"#FF6000\"},hover:{border:\"#FF6000\",background:\"#FF6000\"}},{border:\"#97C2FC\",background:\"#2B7CE9\",highlight:{border:\"#D2E5FF\",background:\"#2B7CE9\"},hover:{border:\"#D2E5FF\",background:\"#2B7CE9\"}},{border:\"#399605\",background:\"#255C03\",highlight:{border:\"#399605\",background:\"#255C03\"},hover:{border:\"#399605\",background:\"#255C03\"}},{border:\"#B70054\",background:\"#FF007E\",highlight:{border:\"#B70054\",background:\"#FF007E\"},hover:{border:\"#B70054\",background:\"#FF007E\"}},{border:\"#AD85E4\",background:\"#7C29F0\",highlight:{border:\"#D3BDF0\",background:\"#7C29F0\"},hover:{border:\"#D3BDF0\",background:\"#7C29F0\"}},{border:\"#4557FA\",background:\"#000EA1\",highlight:{border:\"#6E6EFD\",background:\"#000EA1\"},hover:{border:\"#6E6EFD\",background:\"#000EA1\"}},{border:\"#FFC0CB\",background:\"#FD5A77\",highlight:{border:\"#FFD1D9\",background:\"#FD5A77\"},hover:{border:\"#FFD1D9\",background:\"#FD5A77\"}},{border:\"#C2FABC\",background:\"#74D66A\",highlight:{border:\"#E6FFE3\",background:\"#74D66A\"},hover:{border:\"#E6FFE3\",background:\"#74D66A\"}},{border:\"#EE0000\",background:\"#990000\",highlight:{border:\"#FF3333\",background:\"#BB0000\"},hover:{border:\"#FF3333\",background:\"#BB0000\"}}];this.options={};this.defaultOptions={useDefaultGroups:true};util.extend(this.options,this.defaultOptions)}(0,_createClass3[\"default\"])(Groups,[{key:\"setOptions\",value:function setOptions(options){var optionFields=[\"useDefaultGroups\"];if(options!==undefined){for(var groupName in options){if(options.hasOwnProperty(groupName)){if(optionFields.indexOf(groupName)===-1){var group=options[groupName];this.add(groupName,group)}}}}}},{key:\"clear\",value:function clear(){this.groups={};this.groupsArray=[]}},{key:\"get\",value:function get(groupname){var shouldCreate=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;var group=this.groups[groupname];if(group===undefined&&shouldCreate){if(this.options.useDefaultGroups===false&&this.groupsArray.length>0){var index=this.groupIndex%this.groupsArray.length;this.groupIndex++;group={};group.color=this.groups[this.groupsArray[index]];this.groups[groupname]=group}else{var _index=this.defaultIndex%this.defaultGroups.length;this.defaultIndex++;group={};group.color=this.defaultGroups[_index];this.groups[groupname]=group}}return group}},{key:\"add\",value:function add(groupName,style){this.groups[groupName]=style;this.groupsArray.push(groupName);return style}}]);return Groups}();exports[\"default\"]=Groups},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var DataSet=__webpack_require__(11);var DataView=__webpack_require__(12);var Node=__webpack_require__(47)[\"default\"];var NodesHandler=function(){function NodesHandler(body,images,groups,layoutEngine){var _this=this;(0,_classCallCheck3[\"default\"])(this,NodesHandler);this.body=body;this.images=images;this.groups=groups;this.layoutEngine=layoutEngine;this.body.functions.createNode=this.create.bind(this);this.nodesListeners={add:function add(event,params){_this.add(params.items)},update:function update(event,params){_this.update(params.items,params.data,params.oldData)},remove:function remove(event,params){_this.remove(params.items)}};this.defaultOptions={borderWidth:1,borderWidthSelected:2,brokenImage:undefined,color:{border:\"#2B7CE9\",background:\"#97C2FC\",highlight:{border:\"#2B7CE9\",background:\"#D2E5FF\"},hover:{border:\"#2B7CE9\",background:\"#D2E5FF\"}},fixed:{x:false,y:false},font:{color:\"#343434\",size:14,face:\"arial\",background:\"none\",strokeWidth:0,strokeColor:\"#ffffff\",align:\"center\",vadjust:0,multi:false,bold:{mod:\"bold\"},boldital:{mod:\"bold italic\"},ital:{mod:\"italic\"},mono:{mod:\"\",size:15,face:\"monospace\",vadjust:2}},group:undefined,hidden:false,icon:{face:\"FontAwesome\",code:undefined,size:50,color:\"#2B7CE9\"},image:undefined,label:undefined,labelHighlightBold:true,level:undefined,margin:{top:5,right:5,bottom:5,left:5},mass:1,physics:true,scaling:{min:10,max:30,label:{enabled:false,min:14,max:30,maxVisible:30,drawThreshold:5},customScalingFunction:function customScalingFunction(min,max,total,value){if(max===min){return.5}else{var scale=1/(max-min);return Math.max(0,(value-min)*scale)}}},shadow:{enabled:false,color:\"rgba(0,0,0,0.5)\",size:10,x:5,y:5},shape:\"ellipse\",shapeProperties:{borderDashes:false,borderRadius:6,interpolation:true,useImageSize:false,useBorderWithImage:false},size:25,title:undefined,value:undefined,x:undefined,y:undefined};if(this.defaultOptions.mass<=0){throw\"Internal error: mass in defaultOptions of NodesHandler may not be zero or negative\"}this.options=util.bridgeObject(this.defaultOptions);this.bindEventListeners()}(0,_createClass3[\"default\"])(NodesHandler,[{key:\"bindEventListeners\",value:function bindEventListeners(){var _this2=this;this.body.emitter.on(\"refreshNodes\",this.refresh.bind(this));this.body.emitter.on(\"refresh\",this.refresh.bind(this));this.body.emitter.on(\"destroy\",function(){util.forEach(_this2.nodesListeners,function(callback,event){if(_this2.body.data.nodes)_this2.body.data.nodes.off(event,callback)});delete _this2.body.functions.createNode;delete _this2.nodesListeners.add;delete _this2.nodesListeners.update;delete _this2.nodesListeners.remove;delete _this2.nodesListeners})}},{key:\"setOptions\",value:function setOptions(options){if(options!==undefined){Node.parseOptions(this.options,options);if(options.shape!==undefined){for(var nodeId in this.body.nodes){if(this.body.nodes.hasOwnProperty(nodeId)){this.body.nodes[nodeId].updateShape()}}}if(options.font!==undefined){for(var _nodeId in this.body.nodes){if(this.body.nodes.hasOwnProperty(_nodeId)){this.body.nodes[_nodeId].updateLabelModule();this.body.nodes[_nodeId].needsRefresh()}}}if(options.size!==undefined){for(var _nodeId2 in this.body.nodes){if(this.body.nodes.hasOwnProperty(_nodeId2)){this.body.nodes[_nodeId2].needsRefresh()}}}if(options.hidden!==undefined||options.physics!==undefined){this.body.emitter.emit(\"_dataChanged\")}}}},{key:\"setData\",value:function setData(nodes){var doNotEmit=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var oldNodesData=this.body.data.nodes;if(nodes instanceof DataSet||nodes instanceof DataView){this.body.data.nodes=nodes}else if(Array.isArray(nodes)){this.body.data.nodes=new DataSet;this.body.data.nodes.add(nodes)}else if(!nodes){this.body.data.nodes=new DataSet}else{throw new TypeError(\"Array or DataSet expected\")}if(oldNodesData){util.forEach(this.nodesListeners,function(callback,event){oldNodesData.off(event,callback)})}this.body.nodes={};if(this.body.data.nodes){var me=this;util.forEach(this.nodesListeners,function(callback,event){me.body.data.nodes.on(event,callback)});var ids=this.body.data.nodes.getIds();this.add(ids,true)}if(doNotEmit===false){this.body.emitter.emit(\"_dataChanged\")}}},{key:\"add\",value:function add(ids){var doNotEmit=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var id=void 0;var newNodes=[];for(var i=0;i<ids.length;i++){id=ids[i];var properties=this.body.data.nodes.get(id);var node=this.create(properties);newNodes.push(node);this.body.nodes[id]=node}this.layoutEngine.positionInitially(newNodes);if(doNotEmit===false){this.body.emitter.emit(\"_dataChanged\")}}},{key:\"update\",value:function update(ids,changedData,oldData){var nodes=this.body.nodes;var dataChanged=false;for(var i=0;i<ids.length;i++){var id=ids[i];var node=nodes[id];var data=changedData[i];if(node!==undefined){if(node.setOptions(data)){dataChanged=true}}else{dataChanged=true;node=this.create(data);nodes[id]=node}}if(!dataChanged&&oldData!==undefined){dataChanged=changedData.some(function(newValue,index){var oldValue=oldData[index];return oldValue&&oldValue.level!==newValue.level})}if(dataChanged===true){this.body.emitter.emit(\"_dataChanged\")}else{this.body.emitter.emit(\"_dataUpdated\")}}},{key:\"remove\",value:function remove(ids){var nodes=this.body.nodes;for(var i=0;i<ids.length;i++){var id=ids[i];delete nodes[id]}this.body.emitter.emit(\"_dataChanged\")}},{key:\"create\",value:function create(properties){var constructorClass=arguments.length>1&&arguments[1]!==undefined?arguments[1]:Node;return new constructorClass(properties,this.body,this.images,this.groups,this.options,this.defaultOptions)}},{key:\"refresh\",value:function refresh(){var _this3=this;var clearPositions=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;util.forEach(this.body.nodes,function(node,nodeId){var data=_this3.body.data.nodes.get(nodeId);if(data!==undefined){if(clearPositions===true){node.setOptions({x:null,y:null})}node.setOptions({fixed:false});node.setOptions(data)}})}},{key:\"getPositions\",value:function getPositions(ids){var dataArray={};if(ids!==undefined){if(Array.isArray(ids)===true){for(var i=0;i<ids.length;i++){if(this.body.nodes[ids[i]]!==undefined){var node=this.body.nodes[ids[i]];dataArray[ids[i]]={x:Math.round(node.x),y:Math.round(node.y)}}}}else{if(this.body.nodes[ids]!==undefined){var _node=this.body.nodes[ids];dataArray[ids]={x:Math.round(_node.x),y:Math.round(_node.y)}}}}else{for(var _i=0;_i<this.body.nodeIndices.length;_i++){var _node2=this.body.nodes[this.body.nodeIndices[_i]];dataArray[this.body.nodeIndices[_i]]={x:Math.round(_node2.x),y:Math.round(_node2.y)}}}return dataArray}},{key:\"storePositions\",value:function storePositions(){var dataArray=[];var dataset=this.body.data.nodes.getDataSet();for(var nodeId in dataset._data){if(dataset._data.hasOwnProperty(nodeId)){var node=this.body.nodes[nodeId];if(dataset._data[nodeId].x!=Math.round(node.x)||dataset._data[nodeId].y!=Math.round(node.y)){dataArray.push({id:node.id,x:Math.round(node.x),y:Math.round(node.y)})}}}dataset.update(dataArray)}},{key:\"getBoundingBox\",value:function getBoundingBox(nodeId){if(this.body.nodes[nodeId]!==undefined){return this.body.nodes[nodeId].shape.boundingBox}}},{key:\"getConnectedNodes\",value:function getConnectedNodes(nodeId,direction){var nodeList=[];if(this.body.nodes[nodeId]!==undefined){var node=this.body.nodes[nodeId];var nodeObj={};for(var i=0;i<node.edges.length;i++){var edge=node.edges[i];if(direction!==\"to\"&&edge.toId==node.id){if(nodeObj[edge.fromId]===undefined){nodeList.push(edge.fromId);nodeObj[edge.fromId]=true}}else if(direction!==\"from\"&&edge.fromId==node.id){if(nodeObj[edge.toId]===undefined){nodeList.push(edge.toId);nodeObj[edge.toId]=true}}}}return nodeList}},{key:\"getConnectedEdges\",value:function getConnectedEdges(nodeId){var edgeList=[];if(this.body.nodes[nodeId]!==undefined){var node=this.body.nodes[nodeId];for(var i=0;i<node.edges.length;i++){edgeList.push(node.edges[i].id)}}else{console.log(\"NodeId provided for getConnectedEdges does not exist. Provided: \",nodeId)}return edgeList}},{key:\"moveNode\",value:function moveNode(nodeId,x,y){var _this4=this;if(this.body.nodes[nodeId]!==undefined){this.body.nodes[nodeId].x=Number(x);this.body.nodes[nodeId].y=Number(y);setTimeout(function(){_this4.body.emitter.emit(\"startSimulation\")},0)}else{console.log(\"Node id supplied to moveNode does not exist. Provided: \",nodeId)}}}]);return NodesHandler}();exports[\"default\"]=NodesHandler},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(189),__esModule:true}},function(module,exports,__webpack_require__){__webpack_require__(49);__webpack_require__(60);module.exports=__webpack_require__(190)},function(module,exports,__webpack_require__){var classof=__webpack_require__(86);var ITERATOR=__webpack_require__(13)(\"iterator\");var Iterators=__webpack_require__(31);module.exports=__webpack_require__(7).isIterable=function(it){var O=Object(it);return O[ITERATOR]!==undefined||\"@@iterator\"in O||Iterators.hasOwnProperty(classof(O))}},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var LabelAccumulator=__webpack_require__(192)[\"default\"];var ComponentUtil=__webpack_require__(48)[\"default\"];var LabelSplitter=function(){function LabelSplitter(ctx,parent,selected,hover){var _this=this;(0,_classCallCheck3[\"default\"])(this,LabelSplitter);this.ctx=ctx;this.parent=parent;var textWidth=function textWidth(text,mod){if(text===undefined)return 0;var values=_this.parent.getFormattingValues(ctx,selected,hover,mod);var width=0;if(text!==\"\"){var measure=_this.ctx.measureText(text);width=measure.width}return{width:width,values:values}};this.lines=new LabelAccumulator(textWidth)}(0,_createClass3[\"default\"])(LabelSplitter,[{key:\"process\",value:function process(text){if(!ComponentUtil.isValidLabel(text)){return this.lines.finalize()}var font=this.parent.fontOptions;text=text.replace(/\\r\\n/g,\"\\n\");text=text.replace(/\\r/g,\"\\n\");var nlLines=String(text).split(\"\\n\");var lineCount=nlLines.length;if(font.multi){for(var i=0;i<lineCount;i++){var blocks=this.splitBlocks(nlLines[i],font.multi);if(blocks===undefined)continue;if(blocks.length===0){this.lines.newLine(\"\");continue}if(font.maxWdt>0){for(var j=0;j<blocks.length;j++){var mod=blocks[j].mod;var _text=blocks[j].text;this.splitStringIntoLines(_text,mod,true)}}else{for(var _j=0;_j<blocks.length;_j++){var _mod=blocks[_j].mod;var _text2=blocks[_j].text;this.lines.append(_text2,_mod)}}this.lines.newLine()}}else{if(font.maxWdt>0){for(var _i=0;_i<lineCount;_i++){this.splitStringIntoLines(nlLines[_i])}}else{for(var _i2=0;_i2<lineCount;_i2++){this.lines.newLine(nlLines[_i2])}}}return this.lines.finalize()}},{key:\"decodeMarkupSystem\",value:function decodeMarkupSystem(markupSystem){var system=\"none\";if(markupSystem===\"markdown\"||markupSystem===\"md\"){system=\"markdown\"}else if(markupSystem===true||markupSystem===\"html\"){system=\"html\"}return system}},{key:\"splitHtmlBlocks\",value:function splitHtmlBlocks(text){var blocks=[];var s={bold:false,ital:false,mono:false,spacing:false,position:0,buffer:\"\",modStack:[]};s.mod=function(){return this.modStack.length===0?\"normal\":this.modStack[0]};s.modName=function(){if(this.modStack.length===0)return\"normal\";else if(this.modStack[0]===\"mono\")return\"mono\";else{if(s.bold&&s.ital){return\"boldital\"}else if(s.bold){return\"bold\"}else if(s.ital){return\"ital\"}}};s.emitBlock=function(){var override=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;if(this.spacing){this.add(\" \");this.spacing=false}if(this.buffer.length>0){blocks.push({text:this.buffer,mod:this.modName()});this.buffer=\"\"}};s.add=function(text){if(text===\" \"){s.spacing=true}if(s.spacing){this.buffer+=\" \";this.spacing=false}if(text!=\" \"){this.buffer+=text}};while(s.position<text.length){var ch=text.charAt(s.position);if(/[ \\t]/.test(ch)){if(!s.mono){s.spacing=true}else{s.add(ch)}}else if(/</.test(ch)){if(!s.mono&&!s.bold&&/<b>/.test(text.substr(s.position,3))){s.emitBlock();s.bold=true;s.modStack.unshift(\"bold\");s.position+=2}else if(!s.mono&&!s.ital&&/<i>/.test(text.substr(s.position,3))){s.emitBlock();s.ital=true;s.modStack.unshift(\"ital\");s.position+=2}else if(!s.mono&&/<code>/.test(text.substr(s.position,6))){s.emitBlock();s.mono=true;s.modStack.unshift(\"mono\");s.position+=5}else if(!s.mono&&s.mod()===\"bold\"&&/<\\/b>/.test(text.substr(s.position,4))){s.emitBlock();s.bold=false;s.modStack.shift();s.position+=3}else if(!s.mono&&s.mod()===\"ital\"&&/<\\/i>/.test(text.substr(s.position,4))){s.emitBlock();s.ital=false;s.modStack.shift();s.position+=3}else if(s.mod()===\"mono\"&&/<\\/code>/.test(text.substr(s.position,7))){s.emitBlock();s.mono=false;s.modStack.shift();s.position+=6}else{s.add(ch)}}else if(/&/.test(ch)){if(/&lt;/.test(text.substr(s.position,4))){s.add(\"<\");s.position+=3}else if(/&amp;/.test(text.substr(s.position,5))){s.add(\"&\");s.position+=4}else{s.add(\"&\")}}else{s.add(ch)}s.position++}s.emitBlock();return blocks}},{key:\"splitMarkdownBlocks\",value:function splitMarkdownBlocks(text){var blocks=[];var s={bold:false,ital:false,mono:false,beginable:true,spacing:false,position:0,buffer:\"\",modStack:[]};s.mod=function(){return this.modStack.length===0?\"normal\":this.modStack[0]};s.modName=function(){if(this.modStack.length===0)return\"normal\";else if(this.modStack[0]===\"mono\")return\"mono\";else{if(s.bold&&s.ital){return\"boldital\"}else if(s.bold){return\"bold\"}else if(s.ital){return\"ital\"}}};s.emitBlock=function(){var override=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;if(this.spacing){this.add(\" \");this.spacing=false}if(this.buffer.length>0){blocks.push({text:this.buffer,mod:this.modName()});this.buffer=\"\"}};s.add=function(text){if(text===\" \"){s.spacing=true}if(s.spacing){this.buffer+=\" \";this.spacing=false}if(text!=\" \"){this.buffer+=text}};while(s.position<text.length){var ch=text.charAt(s.position);if(/[ \\t]/.test(ch)){if(!s.mono){s.spacing=true}else{s.add(ch)}s.beginable=true}else if(/\\\\/.test(ch)){if(s.position<text.length+1){s.position++;ch=text.charAt(s.position);if(/ \\t/.test(ch)){s.spacing=true}else{s.add(ch);s.beginable=false}}}else if(!s.mono&&!s.bold&&(s.beginable||s.spacing)&&/\\*/.test(ch)){s.emitBlock();s.bold=true;s.modStack.unshift(\"bold\")}else if(!s.mono&&!s.ital&&(s.beginable||s.spacing)&&/\\_/.test(ch)){s.emitBlock();s.ital=true;s.modStack.unshift(\"ital\")}else if(!s.mono&&(s.beginable||s.spacing)&&/`/.test(ch)){s.emitBlock();s.mono=true;s.modStack.unshift(\"mono\")}else if(!s.mono&&s.mod()===\"bold\"&&/\\*/.test(ch)){if(s.position===text.length-1||/[.,_` \\t\\n]/.test(text.charAt(s.position+1))){s.emitBlock();s.bold=false;s.modStack.shift()}else{s.add(ch)}}else if(!s.mono&&s.mod()===\"ital\"&&/\\_/.test(ch)){if(s.position===text.length-1||/[.,*` \\t\\n]/.test(text.charAt(s.position+1))){s.emitBlock();s.ital=false;s.modStack.shift()}else{s.add(ch)}}else if(s.mono&&s.mod()===\"mono\"&&/`/.test(ch)){if(s.position===text.length-1||/[.,*_ \\t\\n]/.test(text.charAt(s.position+1))){s.emitBlock();s.mono=false;s.modStack.shift()}else{s.add(ch)}}else{s.add(ch);s.beginable=false}s.position++}s.emitBlock();return blocks}},{key:\"splitBlocks\",value:function splitBlocks(text,markupSystem){var system=this.decodeMarkupSystem(markupSystem);if(system===\"none\"){return[{text:text,mod:\"normal\"}]}else if(system===\"markdown\"){return this.splitMarkdownBlocks(text)}else if(system===\"html\"){return this.splitHtmlBlocks(text)}}},{key:\"overMaxWidth\",value:function overMaxWidth(text){var width=this.ctx.measureText(text).width;return this.lines.curWidth()+width>this.parent.fontOptions.maxWdt}},{key:\"getLongestFit\",value:function getLongestFit(words){var text=\"\";var w=0;while(w<words.length){var pre=text===\"\"?\"\":\" \";var newText=text+pre+words[w];if(this.overMaxWidth(newText))break;text=newText;w++}return w}},{key:\"getLongestFitWord\",value:function getLongestFitWord(words){var w=0;while(w<words.length){if(this.overMaxWidth(words.slice(0,w)))break;w++}return w}},{key:\"splitStringIntoLines\",value:function splitStringIntoLines(str){var mod=arguments.length>1&&arguments[1]!==undefined?arguments[1]:\"normal\";var appendLast=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;str=str.replace(/^( +)/g,\"$1\\r\");str=str.replace(/([^\\r][^ ]*)( +)/g,\"$1\\r$2\\r\");var words=str.split(\"\\r\");while(words.length>0){var w=this.getLongestFit(words);if(w===0){var word=words[0];var x=this.getLongestFitWord(word);this.lines.newLine(word.slice(0,x),mod);words[0]=word.slice(x)}else{var newW=w;if(words[w-1]===\" \"){w--}else if(words[newW]===\" \"){newW++}var text=words.slice(0,w).join(\"\");if(w==words.length&&appendLast){this.lines.append(text,mod)}else{this.lines.newLine(text,mod)}words=words.slice(newW)}}}}]);return LabelSplitter}();exports[\"default\"]=LabelSplitter},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _assign=__webpack_require__(90);var _assign2=_interopRequireDefault(_assign);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var LabelAccumulator=function(){function LabelAccumulator(measureText){(0,_classCallCheck3[\"default\"])(this,LabelAccumulator);this.measureText=measureText;this.current=0;this.width=0;this.height=0;this.lines=[]}(0,_createClass3[\"default\"])(LabelAccumulator,[{key:\"_add\",value:function _add(l,text){var mod=arguments.length>2&&arguments[2]!==undefined?arguments[2]:\"normal\";if(this.lines[l]===undefined){this.lines[l]={width:0,height:0,blocks:[]}}var tmpText=text;if(text===undefined||text===\"\")tmpText=\" \";var result=this.measureText(tmpText,mod);var block=(0,_assign2[\"default\"])({},result.values);block.text=text;block.width=result.width;block.mod=mod;if(text===undefined||text===\"\"){block.width=0}this.lines[l].blocks.push(block);this.lines[l].width+=block.width}},{key:\"curWidth\",value:function curWidth(){var line=this.lines[this.current];if(line===undefined)return 0;return line.width}},{key:\"append\",value:function append(text){var mod=arguments.length>1&&arguments[1]!==undefined?arguments[1]:\"normal\";this._add(this.current,text,mod)}},{key:\"newLine\",value:function newLine(text){var mod=arguments.length>1&&arguments[1]!==undefined?arguments[1]:\"normal\";this._add(this.current,text,mod);this.current++}},{key:\"determineLineHeights\",value:function determineLineHeights(){for(var k=0;k<this.lines.length;k++){var line=this.lines[k];var height=0;if(line.blocks!==undefined){for(var l=0;l<line.blocks.length;l++){var block=line.blocks[l];if(height<block.height){height=block.height}}}line.height=height}}},{key:\"determineLabelSize\",value:function determineLabelSize(){var width=0;var height=0;for(var k=0;k<this.lines.length;k++){var line=this.lines[k];if(line.width>width){width=line.width}height+=line.height}this.width=width;this.height=height}},{key:\"removeEmptyBlocks\",value:function removeEmptyBlocks(){var tmpLines=[];for(var k=0;k<this.lines.length;k++){var line=this.lines[k];if(line.blocks.length===0)continue;if(k===this.lines.length-1){if(line.width===0)continue}var tmpLine={};(0,_assign2[\"default\"])(tmpLine,line);tmpLine.blocks=[];var firstEmptyBlock=void 0;var tmpBlocks=[];for(var l=0;l<line.blocks.length;l++){var block=line.blocks[l];if(block.width!==0){tmpBlocks.push(block)}else{if(firstEmptyBlock===undefined){firstEmptyBlock=block}}}if(tmpBlocks.length===0&&firstEmptyBlock!==undefined){tmpBlocks.push(firstEmptyBlock)}tmpLine.blocks=tmpBlocks;tmpLines.push(tmpLine)}return tmpLines}},{key:\"finalize\",value:function finalize(){this.determineLineHeights();this.determineLabelSize();var tmpLines=this.removeEmptyBlocks();return{width:this.width,height:this.height,lines:tmpLines}}}]);return LabelAccumulator}();exports[\"default\"]=LabelAccumulator},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _NodeBase2=__webpack_require__(23);var _NodeBase3=_interopRequireDefault(_NodeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Box=function(_NodeBase){(0,_inherits3[\"default\"])(Box,_NodeBase);function Box(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Box);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(Box.__proto__||(0,_getPrototypeOf2[\"default\"])(Box)).call(this,options,body,labelModule));_this._setMargins(labelModule);return _this}(0,_createClass3[\"default\"])(Box,[{key:\"resize\",value:function resize(ctx){var selected=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.selected;var hover=arguments.length>2&&arguments[2]!==undefined?arguments[2]:this.hover;if(this.needsRefresh(selected,hover)){var dimensions=this.getDimensionsFromLabel(ctx,selected,hover);this.width=dimensions.width+this.margin.right+this.margin.left;this.height=dimensions.height+this.margin.top+this.margin.bottom;this.radius=this.width/2}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this.resize(ctx,selected,hover);this.left=x-this.width/2;this.top=y-this.height/2;this.initContextForDraw(ctx,values);ctx.roundRect(this.left,this.top,this.width,this.height,values.borderRadius);this.performFill(ctx,values);this.updateBoundingBox(x,y,ctx,selected,hover);this.labelModule.draw(ctx,this.left+this.textSize.width/2+this.margin.left,this.top+this.textSize.height/2+this.margin.top,selected,hover)}},{key:\"updateBoundingBox\",value:function updateBoundingBox(x,y,ctx,selected,hover){this._updateBoundingBox(x,y,ctx,selected,hover)\n;var borderRadius=this.options.shapeProperties.borderRadius;this._addBoundingBoxMargin(borderRadius)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){this.resize(ctx);var borderWidth=this.options.borderWidth;return Math.min(Math.abs(this.width/2/Math.cos(angle)),Math.abs(this.height/2/Math.sin(angle)))+borderWidth}}]);return Box}(_NodeBase3[\"default\"]);exports[\"default\"]=Box},function(module,exports,__webpack_require__){__webpack_require__(195);module.exports=__webpack_require__(7).Object.getPrototypeOf},function(module,exports,__webpack_require__){var toObject=__webpack_require__(41);var $getPrototypeOf=__webpack_require__(85);__webpack_require__(87)(\"getPrototypeOf\",function(){return function getPrototypeOf(it){return $getPrototypeOf(toObject(it))}})},function(module,exports,__webpack_require__){module.exports={default:__webpack_require__(197),__esModule:true}},function(module,exports,__webpack_require__){__webpack_require__(198);module.exports=__webpack_require__(7).Object.setPrototypeOf},function(module,exports,__webpack_require__){var $export=__webpack_require__(17);$export($export.S,\"Object\",{setPrototypeOf:__webpack_require__(199).set})},function(module,exports,__webpack_require__){var isObject=__webpack_require__(32);var anObject=__webpack_require__(27);var check=function(O,proto){anObject(O);if(!isObject(proto)&&proto!==null)throw TypeError(proto+\": can't set as prototype!\")};module.exports={set:Object.setPrototypeOf||(\"__proto__\"in{}?function(test,buggy,set){try{set=__webpack_require__(80)(Function.call,__webpack_require__(89).f(Object.prototype,\"__proto__\").set,2);set(test,[]);buggy=!(test instanceof Array)}catch(e){buggy=true}return function setPrototypeOf(O,proto){check(O,proto);if(buggy)O.__proto__=proto;else set(O,proto);return O}}({},false):undefined),check:check}},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _CircleImageBase2=__webpack_require__(73);var _CircleImageBase3=_interopRequireDefault(_CircleImageBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Circle=function(_CircleImageBase){(0,_inherits3[\"default\"])(Circle,_CircleImageBase);function Circle(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Circle);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(Circle.__proto__||(0,_getPrototypeOf2[\"default\"])(Circle)).call(this,options,body,labelModule));_this._setMargins(labelModule);return _this}(0,_createClass3[\"default\"])(Circle,[{key:\"resize\",value:function resize(ctx){var selected=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.selected;var hover=arguments.length>2&&arguments[2]!==undefined?arguments[2]:this.hover;if(this.needsRefresh(selected,hover)){var dimensions=this.getDimensionsFromLabel(ctx,selected,hover);var diameter=Math.max(dimensions.width+this.margin.right+this.margin.left,dimensions.height+this.margin.top+this.margin.bottom);this.options.size=diameter/2;this.width=diameter;this.height=diameter;this.radius=this.width/2}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this.resize(ctx,selected,hover);this.left=x-this.width/2;this.top=y-this.height/2;this._drawRawCircle(ctx,x,y,values);this.updateBoundingBox(x,y);this.labelModule.draw(ctx,this.left+this.textSize.width/2+this.margin.left,y,selected,hover)}},{key:\"updateBoundingBox\",value:function updateBoundingBox(x,y){this.boundingBox.top=y-this.options.size;this.boundingBox.left=x-this.options.size;this.boundingBox.right=x+this.options.size;this.boundingBox.bottom=y+this.options.size}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){this.resize(ctx);return this.width*.5}}]);return Circle}(_CircleImageBase3[\"default\"]);exports[\"default\"]=Circle},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _CircleImageBase2=__webpack_require__(73);var _CircleImageBase3=_interopRequireDefault(_CircleImageBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var CircularImage=function(_CircleImageBase){(0,_inherits3[\"default\"])(CircularImage,_CircleImageBase);function CircularImage(options,body,labelModule,imageObj,imageObjAlt){(0,_classCallCheck3[\"default\"])(this,CircularImage);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(CircularImage.__proto__||(0,_getPrototypeOf2[\"default\"])(CircularImage)).call(this,options,body,labelModule));_this.setImages(imageObj,imageObjAlt);return _this}(0,_createClass3[\"default\"])(CircularImage,[{key:\"resize\",value:function resize(ctx){var selected=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.selected;var hover=arguments.length>2&&arguments[2]!==undefined?arguments[2]:this.hover;var imageAbsent=this.imageObj.src===undefined||this.imageObj.width===undefined||this.imageObj.height===undefined;if(imageAbsent){var diameter=this.options.size*2;this.width=diameter;this.height=diameter;this.radius=.5*this.width;return}if(this.needsRefresh(selected,hover)){this._resizeImage()}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this.switchImages(selected);this.resize();this.left=x-this.width/2;this.top=y-this.height/2;this._drawRawCircle(ctx,x,y,values);ctx.save();ctx.clip();this._drawImageAtPosition(ctx,values);ctx.restore();this._drawImageLabel(ctx,x,y,selected,hover);this.updateBoundingBox(x,y)}},{key:\"updateBoundingBox\",value:function updateBoundingBox(x,y){this.boundingBox.top=y-this.options.size;this.boundingBox.left=x-this.options.size;this.boundingBox.right=x+this.options.size;this.boundingBox.bottom=y+this.options.size;this.boundingBox.left=Math.min(this.boundingBox.left,this.labelModule.size.left);this.boundingBox.right=Math.max(this.boundingBox.right,this.labelModule.size.left+this.labelModule.size.width);this.boundingBox.bottom=Math.max(this.boundingBox.bottom,this.boundingBox.bottom+this.labelOffset)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){this.resize(ctx);return this.width*.5}}]);return CircularImage}(_CircleImageBase3[\"default\"]);exports[\"default\"]=CircularImage},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _NodeBase2=__webpack_require__(23);var _NodeBase3=_interopRequireDefault(_NodeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Database=function(_NodeBase){(0,_inherits3[\"default\"])(Database,_NodeBase);function Database(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Database);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(Database.__proto__||(0,_getPrototypeOf2[\"default\"])(Database)).call(this,options,body,labelModule));_this._setMargins(labelModule);return _this}(0,_createClass3[\"default\"])(Database,[{key:\"resize\",value:function resize(ctx,selected,hover){if(this.needsRefresh(selected,hover)){var dimensions=this.getDimensionsFromLabel(ctx,selected,hover);var size=dimensions.width+this.margin.right+this.margin.left;this.width=size;this.height=size;this.radius=this.width/2}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this.resize(ctx,selected,hover);this.left=x-this.width/2;this.top=y-this.height/2;this.initContextForDraw(ctx,values);ctx.database(x-this.width/2,y-this.height/2,this.width,this.height);this.performFill(ctx,values);this.updateBoundingBox(x,y,ctx,selected,hover);this.labelModule.draw(ctx,this.left+this.textSize.width/2+this.margin.left,this.top+this.textSize.height/2+this.margin.top,selected,hover)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Database}(_NodeBase3[\"default\"]);exports[\"default\"]=Database},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _ShapeBase2=__webpack_require__(24);var _ShapeBase3=_interopRequireDefault(_ShapeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Diamond=function(_ShapeBase){(0,_inherits3[\"default\"])(Diamond,_ShapeBase);function Diamond(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Diamond);return(0,_possibleConstructorReturn3[\"default\"])(this,(Diamond.__proto__||(0,_getPrototypeOf2[\"default\"])(Diamond)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(Diamond,[{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this._drawShape(ctx,\"diamond\",4,x,y,selected,hover,values)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Diamond}(_ShapeBase3[\"default\"]);exports[\"default\"]=Diamond},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _ShapeBase2=__webpack_require__(24);var _ShapeBase3=_interopRequireDefault(_ShapeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Dot=function(_ShapeBase){(0,_inherits3[\"default\"])(Dot,_ShapeBase);function Dot(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Dot);return(0,_possibleConstructorReturn3[\"default\"])(this,(Dot.__proto__||(0,_getPrototypeOf2[\"default\"])(Dot)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(Dot,[{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this._drawShape(ctx,\"circle\",2,x,y,selected,hover,values)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){this.resize(ctx);return this.options.size}}]);return Dot}(_ShapeBase3[\"default\"]);exports[\"default\"]=Dot},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _NodeBase2=__webpack_require__(23);var _NodeBase3=_interopRequireDefault(_NodeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Ellipse=function(_NodeBase){(0,_inherits3[\"default\"])(Ellipse,_NodeBase);function Ellipse(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Ellipse);return(0,_possibleConstructorReturn3[\"default\"])(this,(Ellipse.__proto__||(0,_getPrototypeOf2[\"default\"])(Ellipse)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(Ellipse,[{key:\"resize\",value:function resize(ctx){var selected=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.selected;var hover=arguments.length>2&&arguments[2]!==undefined?arguments[2]:this.hover;if(this.needsRefresh(selected,hover)){var dimensions=this.getDimensionsFromLabel(ctx,selected,hover);this.height=dimensions.height*2;this.width=dimensions.width+dimensions.height;this.radius=.5*this.width}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this.resize(ctx,selected,hover);this.left=x-this.width*.5;this.top=y-this.height*.5;this.initContextForDraw(ctx,values);ctx.ellipse_vis(this.left,this.top,this.width,this.height);this.performFill(ctx,values);this.updateBoundingBox(x,y,ctx,selected,hover);this.labelModule.draw(ctx,x,y,selected,hover)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){this.resize(ctx);var a=this.width*.5;var b=this.height*.5;var w=Math.sin(angle)*a;var h=Math.cos(angle)*b;return a*b/Math.sqrt(w*w+h*h)}}]);return Ellipse}(_NodeBase3[\"default\"]);exports[\"default\"]=Ellipse},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _NodeBase2=__webpack_require__(23);var _NodeBase3=_interopRequireDefault(_NodeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Icon=function(_NodeBase){(0,_inherits3[\"default\"])(Icon,_NodeBase);function Icon(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Icon);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(Icon.__proto__||(0,_getPrototypeOf2[\"default\"])(Icon)).call(this,options,body,labelModule));_this._setMargins(labelModule);return _this}(0,_createClass3[\"default\"])(Icon,[{key:\"resize\",value:function resize(ctx,selected,hover){if(this.needsRefresh(selected,hover)){this.iconSize={width:Number(this.options.icon.size),height:Number(this.options.icon.size)};this.width=this.iconSize.width+this.margin.right+this.margin.left;this.height=this.iconSize.height+this.margin.top+this.margin.bottom;this.radius=.5*this.width}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this.resize(ctx,selected,hover);this.options.icon.size=this.options.icon.size||50;this.left=x-this.width/2;this.top=y-this.height/2;this._icon(ctx,x,y,selected,hover,values);if(this.options.label!==undefined){var iconTextSpacing=5;this.labelModule.draw(ctx,this.left+this.iconSize.width/2+this.margin.left,y+this.height/2+iconTextSpacing,selected)}this.updateBoundingBox(x,y)}},{key:\"updateBoundingBox\",value:function updateBoundingBox(x,y){this.boundingBox.top=y-this.options.icon.size*.5;this.boundingBox.left=x-this.options.icon.size*.5;this.boundingBox.right=x+this.options.icon.size*.5;this.boundingBox.bottom=y+this.options.icon.size*.5;if(this.options.label!==undefined&&this.labelModule.size.width>0){var iconTextSpacing=5;this.boundingBox.left=Math.min(this.boundingBox.left,this.labelModule.size.left);this.boundingBox.right=Math.max(this.boundingBox.right,this.labelModule.size.left+this.labelModule.size.width);this.boundingBox.bottom=Math.max(this.boundingBox.bottom,this.boundingBox.bottom+this.labelModule.size.height+iconTextSpacing)}}},{key:\"_icon\",value:function _icon(ctx,x,y,selected,hover,values){var iconSize=Number(this.options.icon.size);if(this.options.icon.code!==undefined){ctx.font=(selected?\"bold \":\"\")+iconSize+\"px \"+this.options.icon.face;ctx.fillStyle=this.options.icon.color||\"black\";ctx.textAlign=\"center\";ctx.textBaseline=\"middle\";this.enableShadow(ctx,values);ctx.fillText(this.options.icon.code,x,y);this.disableShadow(ctx,values)}else{console.error(\"When using the icon shape, you need to define the code in the icon options object. This can be done per node or globally.\")}}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Icon}(_NodeBase3[\"default\"]);exports[\"default\"]=Icon},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _CircleImageBase2=__webpack_require__(73);var _CircleImageBase3=_interopRequireDefault(_CircleImageBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Image=function(_CircleImageBase){(0,_inherits3[\"default\"])(Image,_CircleImageBase);function Image(options,body,labelModule,imageObj,imageObjAlt){(0,_classCallCheck3[\"default\"])(this,Image);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(Image.__proto__||(0,_getPrototypeOf2[\"default\"])(Image)).call(this,options,body,labelModule));_this.setImages(imageObj,imageObjAlt);return _this}(0,_createClass3[\"default\"])(Image,[{key:\"resize\",value:function resize(ctx){var selected=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.selected;var hover=arguments.length>2&&arguments[2]!==undefined?arguments[2]:this.hover;var imageAbsent=this.imageObj.src===undefined||this.imageObj.width===undefined||this.imageObj.height===undefined;if(imageAbsent){var side=this.options.size*2;this.width=side;this.height=side;return}if(this.needsRefresh(selected,hover)){this._resizeImage()}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this.switchImages(selected);this.resize();this.left=x-this.width/2;this.top=y-this.height/2;if(this.options.shapeProperties.useBorderWithImage===true){var neutralborderWidth=this.options.borderWidth;var selectionLineWidth=this.options.borderWidthSelected||2*this.options.borderWidth;var borderWidth=(selected?selectionLineWidth:neutralborderWidth)/this.body.view.scale;ctx.lineWidth=Math.min(this.width,borderWidth);ctx.beginPath();ctx.strokeStyle=selected?this.options.color.highlight.border:hover?this.options.color.hover.border:this.options.color.border;ctx.fillStyle=selected?this.options.color.highlight.background:hover?this.options.color.hover.background:this.options.color.background;ctx.rect(this.left-.5*ctx.lineWidth,this.top-.5*ctx.lineWidth,this.width+ctx.lineWidth,this.height+ctx.lineWidth);ctx.fill();this.performStroke(ctx,values);ctx.closePath()}this._drawImageAtPosition(ctx,values);this._drawImageLabel(ctx,x,y,selected,hover);this.updateBoundingBox(x,y)}},{key:\"updateBoundingBox\",value:function updateBoundingBox(x,y){this.resize();this._updateBoundingBox(x,y);if(this.options.label!==undefined&&this.labelModule.size.width>0){this.boundingBox.left=Math.min(this.boundingBox.left,this.labelModule.size.left);this.boundingBox.right=Math.max(this.boundingBox.right,this.labelModule.size.left+this.labelModule.size.width);this.boundingBox.bottom=Math.max(this.boundingBox.bottom,this.boundingBox.bottom+this.labelOffset)}}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Image}(_CircleImageBase3[\"default\"]);exports[\"default\"]=Image},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _ShapeBase2=__webpack_require__(24);var _ShapeBase3=_interopRequireDefault(_ShapeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Square=function(_ShapeBase){(0,_inherits3[\"default\"])(Square,_ShapeBase);function Square(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Square);return(0,_possibleConstructorReturn3[\"default\"])(this,(Square.__proto__||(0,_getPrototypeOf2[\"default\"])(Square)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(Square,[{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this._drawShape(ctx,\"square\",2,x,y,selected,hover,values)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Square}(_ShapeBase3[\"default\"]);exports[\"default\"]=Square},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _ShapeBase2=__webpack_require__(24);var _ShapeBase3=_interopRequireDefault(_ShapeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Hexagon=function(_ShapeBase){(0,_inherits3[\"default\"])(Hexagon,_ShapeBase);function Hexagon(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Hexagon);return(0,_possibleConstructorReturn3[\"default\"])(this,(Hexagon.__proto__||(0,_getPrototypeOf2[\"default\"])(Hexagon)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(Hexagon,[{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this._drawShape(ctx,\"hexagon\",4,x,y,selected,hover,values)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Hexagon}(_ShapeBase3[\"default\"]);exports[\"default\"]=Hexagon},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _ShapeBase2=__webpack_require__(24);var _ShapeBase3=_interopRequireDefault(_ShapeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Star=function(_ShapeBase){(0,_inherits3[\"default\"])(Star,_ShapeBase);function Star(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Star);return(0,_possibleConstructorReturn3[\"default\"])(this,(Star.__proto__||(0,_getPrototypeOf2[\"default\"])(Star)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(Star,[{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this._drawShape(ctx,\"star\",4,x,y,selected,hover,values)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Star}(_ShapeBase3[\"default\"]);exports[\"default\"]=Star},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _NodeBase2=__webpack_require__(23);var _NodeBase3=_interopRequireDefault(_NodeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Text=function(_NodeBase){(0,_inherits3[\"default\"])(Text,_NodeBase);function Text(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Text);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(Text.__proto__||(0,_getPrototypeOf2[\"default\"])(Text)).call(this,options,body,labelModule));_this._setMargins(labelModule);return _this}(0,_createClass3[\"default\"])(Text,[{key:\"resize\",value:function resize(ctx,selected,hover){if(this.needsRefresh(selected,hover)){this.textSize=this.labelModule.getTextSize(ctx,selected,hover);this.width=this.textSize.width+this.margin.right+this.margin.left;this.height=this.textSize.height+this.margin.top+this.margin.bottom;this.radius=.5*this.width}}},{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this.resize(ctx,selected,hover);this.left=x-this.width/2;this.top=y-this.height/2;this.enableShadow(ctx,values);this.labelModule.draw(ctx,this.left+this.textSize.width/2+this.margin.left,this.top+this.textSize.height/2+this.margin.top,selected,hover);this.disableShadow(ctx,values);this.updateBoundingBox(x,y,ctx,selected,hover)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Text}(_NodeBase3[\"default\"]);exports[\"default\"]=Text},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _ShapeBase2=__webpack_require__(24);var _ShapeBase3=_interopRequireDefault(_ShapeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Triangle=function(_ShapeBase){(0,_inherits3[\"default\"])(Triangle,_ShapeBase);function Triangle(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,Triangle);return(0,_possibleConstructorReturn3[\"default\"])(this,(Triangle.__proto__||(0,_getPrototypeOf2[\"default\"])(Triangle)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(Triangle,[{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this._drawShape(ctx,\"triangle\",3,x,y,selected,hover,values)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return Triangle}(_ShapeBase3[\"default\"]);exports[\"default\"]=Triangle},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _ShapeBase2=__webpack_require__(24);var _ShapeBase3=_interopRequireDefault(_ShapeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var TriangleDown=function(_ShapeBase){(0,_inherits3[\"default\"])(TriangleDown,_ShapeBase);function TriangleDown(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,TriangleDown);return(0,_possibleConstructorReturn3[\"default\"])(this,(TriangleDown.__proto__||(0,_getPrototypeOf2[\"default\"])(TriangleDown)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(TriangleDown,[{key:\"draw\",value:function draw(ctx,x,y,selected,hover,values){this._drawShape(ctx,\"triangleDown\",3,x,y,selected,hover,values)}},{key:\"distanceToBorder\",value:function distanceToBorder(ctx,angle){return this._distanceToBorder(ctx,angle)}}]);return TriangleDown}(_ShapeBase3[\"default\"]);exports[\"default\"]=TriangleDown},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var DataSet=__webpack_require__(11);var DataView=__webpack_require__(12);var Edge=__webpack_require__(74)[\"default\"];var EdgesHandler=function(){function EdgesHandler(body,images,groups){var _this=this;(0,_classCallCheck3[\"default\"])(this,EdgesHandler);this.body=body;this.images=images;this.groups=groups;this.body.functions.createEdge=this.create.bind(this);this.edgesListeners={add:function add(event,params){_this.add(params.items)},update:function update(event,params){_this.update(params.items)},remove:function remove(event,params){_this.remove(params.items)}};this.options={};this.defaultOptions={arrows:{to:{enabled:false,\nscaleFactor:1,type:\"arrow\"},middle:{enabled:false,scaleFactor:1,type:\"arrow\"},from:{enabled:false,scaleFactor:1,type:\"arrow\"}},arrowStrikethrough:true,color:{color:\"#848484\",highlight:\"#848484\",hover:\"#848484\",inherit:\"from\",opacity:1},dashes:false,font:{color:\"#343434\",size:14,face:\"arial\",background:\"none\",strokeWidth:2,strokeColor:\"#ffffff\",align:\"horizontal\",multi:false,vadjust:0,bold:{mod:\"bold\"},boldital:{mod:\"bold italic\"},ital:{mod:\"italic\"},mono:{mod:\"\",size:15,face:\"courier new\",vadjust:2}},hidden:false,hoverWidth:1.5,label:undefined,labelHighlightBold:true,length:undefined,physics:true,scaling:{min:1,max:15,label:{enabled:true,min:14,max:30,maxVisible:30,drawThreshold:5},customScalingFunction:function customScalingFunction(min,max,total,value){if(max===min){return.5}else{var scale=1/(max-min);return Math.max(0,(value-min)*scale)}}},selectionWidth:1.5,selfReferenceSize:20,shadow:{enabled:false,color:\"rgba(0,0,0,0.5)\",size:10,x:5,y:5},smooth:{enabled:true,type:\"dynamic\",forceDirection:\"none\",roundness:.5},title:undefined,width:1,value:undefined};util.deepExtend(this.options,this.defaultOptions);this.bindEventListeners()}(0,_createClass3[\"default\"])(EdgesHandler,[{key:\"bindEventListeners\",value:function bindEventListeners(){var _this2=this;this.body.emitter.on(\"_forceDisableDynamicCurves\",function(type){var emit=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;if(type===\"dynamic\"){type=\"continuous\"}var dataChanged=false;for(var edgeId in _this2.body.edges){if(_this2.body.edges.hasOwnProperty(edgeId)){var edge=_this2.body.edges[edgeId];var edgeData=_this2.body.data.edges._data[edgeId];if(edgeData!==undefined){var smoothOptions=edgeData.smooth;if(smoothOptions!==undefined){if(smoothOptions.enabled===true&&smoothOptions.type===\"dynamic\"){if(type===undefined){edge.setOptions({smooth:false})}else{edge.setOptions({smooth:{type:type}})}dataChanged=true}}}}}if(emit===true&&dataChanged===true){_this2.body.emitter.emit(\"_dataChanged\")}});this.body.emitter.on(\"_dataUpdated\",function(){_this2.reconnectEdges()});this.body.emitter.on(\"refreshEdges\",this.refresh.bind(this));this.body.emitter.on(\"refresh\",this.refresh.bind(this));this.body.emitter.on(\"destroy\",function(){util.forEach(_this2.edgesListeners,function(callback,event){if(_this2.body.data.edges)_this2.body.data.edges.off(event,callback)});delete _this2.body.functions.createEdge;delete _this2.edgesListeners.add;delete _this2.edgesListeners.update;delete _this2.edgesListeners.remove;delete _this2.edgesListeners})}},{key:\"setOptions\",value:function setOptions(options){if(options!==undefined){Edge.parseOptions(this.options,options,true,this.defaultOptions,true);var dataChanged=false;if(options.smooth!==undefined){for(var edgeId in this.body.edges){if(this.body.edges.hasOwnProperty(edgeId)){dataChanged=this.body.edges[edgeId].updateEdgeType()||dataChanged}}}if(options.font!==undefined){for(var _edgeId in this.body.edges){if(this.body.edges.hasOwnProperty(_edgeId)){this.body.edges[_edgeId].updateLabelModule()}}}if(options.hidden!==undefined||options.physics!==undefined||dataChanged===true){this.body.emitter.emit(\"_dataChanged\")}}}},{key:\"setData\",value:function setData(edges){var _this3=this;var doNotEmit=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var oldEdgesData=this.body.data.edges;if(edges instanceof DataSet||edges instanceof DataView){this.body.data.edges=edges}else if(Array.isArray(edges)){this.body.data.edges=new DataSet;this.body.data.edges.add(edges)}else if(!edges){this.body.data.edges=new DataSet}else{throw new TypeError(\"Array or DataSet expected\")}if(oldEdgesData){util.forEach(this.edgesListeners,function(callback,event){oldEdgesData.off(event,callback)})}this.body.edges={};if(this.body.data.edges){util.forEach(this.edgesListeners,function(callback,event){_this3.body.data.edges.on(event,callback)});var ids=this.body.data.edges.getIds();this.add(ids,true)}this.body.emitter.emit(\"_adjustEdgesForHierarchicalLayout\");if(doNotEmit===false){this.body.emitter.emit(\"_dataChanged\")}}},{key:\"add\",value:function add(ids){var doNotEmit=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var edges=this.body.edges;var edgesData=this.body.data.edges;for(var i=0;i<ids.length;i++){var id=ids[i];var oldEdge=edges[id];if(oldEdge){oldEdge.disconnect()}var data=edgesData.get(id,{showInternalIds:true});edges[id]=this.create(data)}this.body.emitter.emit(\"_adjustEdgesForHierarchicalLayout\");if(doNotEmit===false){this.body.emitter.emit(\"_dataChanged\")}}},{key:\"update\",value:function update(ids){var edges=this.body.edges;var edgesData=this.body.data.edges;var dataChanged=false;for(var i=0;i<ids.length;i++){var id=ids[i];var data=edgesData.get(id);var edge=edges[id];if(edge!==undefined){edge.disconnect();dataChanged=edge.setOptions(data)||dataChanged;edge.connect()}else{this.body.edges[id]=this.create(data);dataChanged=true}}if(dataChanged===true){this.body.emitter.emit(\"_adjustEdgesForHierarchicalLayout\");this.body.emitter.emit(\"_dataChanged\")}else{this.body.emitter.emit(\"_dataUpdated\")}}},{key:\"remove\",value:function remove(ids){var emit=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;if(ids.length===0)return;var edges=this.body.edges;util.forEach(ids,function(id){var edge=edges[id];if(edge!==undefined){edge.remove()}});if(emit){this.body.emitter.emit(\"_dataChanged\")}}},{key:\"refresh\",value:function refresh(){var _this4=this;util.forEach(this.body.edges,function(edge,edgeId){var data=_this4.body.data.edges._data[edgeId];if(data!==undefined){edge.setOptions(data)}})}},{key:\"create\",value:function create(properties){return new Edge(properties,this.body,this.options,this.defaultOptions)}},{key:\"reconnectEdges\",value:function reconnectEdges(){var id;var nodes=this.body.nodes;var edges=this.body.edges;for(id in nodes){if(nodes.hasOwnProperty(id)){nodes[id].edges=[]}}for(id in edges){if(edges.hasOwnProperty(id)){var edge=edges[id];edge.from=null;edge.to=null;edge.connect()}}}},{key:\"getConnectedNodes\",value:function getConnectedNodes(edgeId){var nodeList=[];if(this.body.edges[edgeId]!==undefined){var edge=this.body.edges[edgeId];if(edge.fromId!==undefined){nodeList.push(edge.fromId)}if(edge.toId!==undefined){nodeList.push(edge.toId)}}return nodeList}},{key:\"_updateState\",value:function _updateState(){this._addMissingEdges();this._removeInvalidEdges()}},{key:\"_removeInvalidEdges\",value:function _removeInvalidEdges(){var _this5=this;var edgesToDelete=[];util.forEach(this.body.edges,function(edge,id){var toNode=_this5.body.nodes[edge.toId];var fromNode=_this5.body.nodes[edge.fromId];if(toNode!==undefined&&toNode.isCluster===true||fromNode!==undefined&&fromNode.isCluster===true){return}if(toNode===undefined||fromNode===undefined){edgesToDelete.push(id)}});this.remove(edgesToDelete,false)}},{key:\"_addMissingEdges\",value:function _addMissingEdges(){var edges=this.body.edges;var edgesData=this.body.data.edges;var addIds=[];edgesData.forEach(function(edgeData,edgeId){var edge=edges[edgeId];if(edge===undefined){addIds.push(edgeId)}});this.add(addIds,true)}}]);return EdgesHandler}();exports[\"default\"]=EdgesHandler},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _slicedToArray2=__webpack_require__(30);var _slicedToArray3=_interopRequireDefault(_slicedToArray2);var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _CubicBezierEdgeBase2=__webpack_require__(216);var _CubicBezierEdgeBase3=_interopRequireDefault(_CubicBezierEdgeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var CubicBezierEdge=function(_CubicBezierEdgeBase){(0,_inherits3[\"default\"])(CubicBezierEdge,_CubicBezierEdgeBase);function CubicBezierEdge(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,CubicBezierEdge);return(0,_possibleConstructorReturn3[\"default\"])(this,(CubicBezierEdge.__proto__||(0,_getPrototypeOf2[\"default\"])(CubicBezierEdge)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(CubicBezierEdge,[{key:\"_line\",value:function _line(ctx,values,viaNodes){var via1=viaNodes[0];var via2=viaNodes[1];this._bezierCurve(ctx,values,via1,via2)}},{key:\"_getViaCoordinates\",value:function _getViaCoordinates(){var dx=this.from.x-this.to.x;var dy=this.from.y-this.to.y;var x1=void 0,y1=void 0,x2=void 0,y2=void 0;var roundness=this.options.smooth.roundness;if((Math.abs(dx)>Math.abs(dy)||this.options.smooth.forceDirection===true||this.options.smooth.forceDirection===\"horizontal\")&&this.options.smooth.forceDirection!==\"vertical\"){y1=this.from.y;y2=this.to.y;x1=this.from.x-roundness*dx;x2=this.to.x+roundness*dx}else{y1=this.from.y-roundness*dy;y2=this.to.y+roundness*dy;x1=this.from.x;x2=this.to.x}return[{x:x1,y:y1},{x:x2,y:y2}]}},{key:\"getViaNode\",value:function getViaNode(){return this._getViaCoordinates()}},{key:\"_findBorderPosition\",value:function _findBorderPosition(nearNode,ctx){return this._findBorderPositionBezier(nearNode,ctx)}},{key:\"_getDistanceToEdge\",value:function _getDistanceToEdge(x1,y1,x2,y2,x3,y3){var _ref=arguments.length>6&&arguments[6]!==undefined?arguments[6]:this._getViaCoordinates(),_ref2=(0,_slicedToArray3[\"default\"])(_ref,2),via1=_ref2[0],via2=_ref2[1];return this._getDistanceToBezierEdge(x1,y1,x2,y2,x3,y3,via1,via2)}},{key:\"getPoint\",value:function getPoint(percentage){var _ref3=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this._getViaCoordinates(),_ref4=(0,_slicedToArray3[\"default\"])(_ref3,2),via1=_ref4[0],via2=_ref4[1];var t=percentage;var vec=[];vec[0]=Math.pow(1-t,3);vec[1]=3*t*Math.pow(1-t,2);vec[2]=3*Math.pow(t,2)*(1-t);vec[3]=Math.pow(t,3);var x=vec[0]*this.fromPoint.x+vec[1]*via1.x+vec[2]*via2.x+vec[3]*this.toPoint.x;var y=vec[0]*this.fromPoint.y+vec[1]*via1.y+vec[2]*via2.y+vec[3]*this.toPoint.y;return{x:x,y:y}}}]);return CubicBezierEdge}(_CubicBezierEdgeBase3[\"default\"]);exports[\"default\"]=CubicBezierEdge},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _BezierEdgeBase2=__webpack_require__(75);var _BezierEdgeBase3=_interopRequireDefault(_BezierEdgeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var CubicBezierEdgeBase=function(_BezierEdgeBase){(0,_inherits3[\"default\"])(CubicBezierEdgeBase,_BezierEdgeBase);function CubicBezierEdgeBase(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,CubicBezierEdgeBase);return(0,_possibleConstructorReturn3[\"default\"])(this,(CubicBezierEdgeBase.__proto__||(0,_getPrototypeOf2[\"default\"])(CubicBezierEdgeBase)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(CubicBezierEdgeBase,[{key:\"_getDistanceToBezierEdge\",value:function _getDistanceToBezierEdge(x1,y1,x2,y2,x3,y3,via1,via2){var minDistance=1e9;var distance=void 0;var i=void 0,t=void 0,x=void 0,y=void 0;var lastX=x1;var lastY=y1;var vec=[0,0,0,0];for(i=1;i<10;i++){t=.1*i;vec[0]=Math.pow(1-t,3);vec[1]=3*t*Math.pow(1-t,2);vec[2]=3*Math.pow(t,2)*(1-t);vec[3]=Math.pow(t,3);x=vec[0]*x1+vec[1]*via1.x+vec[2]*via2.x+vec[3]*x2;y=vec[0]*y1+vec[1]*via1.y+vec[2]*via2.y+vec[3]*y2;if(i>0){distance=this._getDistanceToLine(lastX,lastY,x,y,x3,y3);minDistance=distance<minDistance?distance:minDistance}lastX=x;lastY=y}return minDistance}}]);return CubicBezierEdgeBase}(_BezierEdgeBase3[\"default\"]);exports[\"default\"]=CubicBezierEdgeBase},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _slicedToArray2=__webpack_require__(30);var _slicedToArray3=_interopRequireDefault(_slicedToArray2);var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _BezierEdgeBase2=__webpack_require__(75);var _BezierEdgeBase3=_interopRequireDefault(_BezierEdgeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var BezierEdgeDynamic=function(_BezierEdgeBase){(0,_inherits3[\"default\"])(BezierEdgeDynamic,_BezierEdgeBase);function BezierEdgeDynamic(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,BezierEdgeDynamic);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(BezierEdgeDynamic.__proto__||(0,_getPrototypeOf2[\"default\"])(BezierEdgeDynamic)).call(this,options,body,labelModule));_this._boundFunction=function(){_this.positionBezierNode()};_this.body.emitter.on(\"_repositionBezierNodes\",_this._boundFunction);return _this}(0,_createClass3[\"default\"])(BezierEdgeDynamic,[{key:\"setOptions\",value:function setOptions(options){var physicsChange=false;if(this.options.physics!==options.physics){physicsChange=true}this.options=options;this.id=this.options.id;this.from=this.body.nodes[this.options.from];this.to=this.body.nodes[this.options.to];this.setupSupportNode();this.connect();if(physicsChange===true){this.via.setOptions({physics:this.options.physics});this.positionBezierNode()}}},{key:\"connect\",value:function connect(){this.from=this.body.nodes[this.options.from];this.to=this.body.nodes[this.options.to];if(this.from===undefined||this.to===undefined||this.options.physics===false){this.via.setOptions({physics:false})}else{if(this.from.id===this.to.id){this.via.setOptions({physics:false})}else{this.via.setOptions({physics:true})}}}},{key:\"cleanup\",value:function cleanup(){this.body.emitter.off(\"_repositionBezierNodes\",this._boundFunction);if(this.via!==undefined){delete this.body.nodes[this.via.id];this.via=undefined;return true}return false}},{key:\"setupSupportNode\",value:function setupSupportNode(){if(this.via===undefined){var nodeId=\"edgeId:\"+this.id;var node=this.body.functions.createNode({id:nodeId,shape:\"circle\",physics:true,hidden:true});this.body.nodes[nodeId]=node;this.via=node;this.via.parentEdgeId=this.id;this.positionBezierNode()}}},{key:\"positionBezierNode\",value:function positionBezierNode(){if(this.via!==undefined&&this.from!==undefined&&this.to!==undefined){this.via.x=.5*(this.from.x+this.to.x);this.via.y=.5*(this.from.y+this.to.y)}else if(this.via!==undefined){this.via.x=0;this.via.y=0}}},{key:\"_line\",value:function _line(ctx,values,viaNode){this._bezierCurve(ctx,values,viaNode)}},{key:\"getViaNode\",value:function getViaNode(){return this.via}},{key:\"getPoint\",value:function getPoint(percentage){var viaNode=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.via;var t=percentage;var x=void 0,y=void 0;if(this.from===this.to){var _getCircleData=this._getCircleData(this.from),_getCircleData2=(0,_slicedToArray3[\"default\"])(_getCircleData,3),cx=_getCircleData2[0],cy=_getCircleData2[1],cr=_getCircleData2[2];var a=2*Math.PI*(1-t);x=cx+cr*Math.sin(a);y=cy+cr-cr*(1-Math.cos(a))}else{x=Math.pow(1-t,2)*this.fromPoint.x+2*t*(1-t)*viaNode.x+Math.pow(t,2)*this.toPoint.x;y=Math.pow(1-t,2)*this.fromPoint.y+2*t*(1-t)*viaNode.y+Math.pow(t,2)*this.toPoint.y}return{x:x,y:y}}},{key:\"_findBorderPosition\",value:function _findBorderPosition(nearNode,ctx){return this._findBorderPositionBezier(nearNode,ctx,this.via)}},{key:\"_getDistanceToEdge\",value:function _getDistanceToEdge(x1,y1,x2,y2,x3,y3){return this._getDistanceToBezierEdge(x1,y1,x2,y2,x3,y3,this.via)}}]);return BezierEdgeDynamic}(_BezierEdgeBase3[\"default\"]);exports[\"default\"]=BezierEdgeDynamic},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _BezierEdgeBase2=__webpack_require__(75);var _BezierEdgeBase3=_interopRequireDefault(_BezierEdgeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var BezierEdgeStatic=function(_BezierEdgeBase){(0,_inherits3[\"default\"])(BezierEdgeStatic,_BezierEdgeBase);function BezierEdgeStatic(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,BezierEdgeStatic);return(0,_possibleConstructorReturn3[\"default\"])(this,(BezierEdgeStatic.__proto__||(0,_getPrototypeOf2[\"default\"])(BezierEdgeStatic)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(BezierEdgeStatic,[{key:\"_line\",value:function _line(ctx,values,viaNode){this._bezierCurve(ctx,values,viaNode)}},{key:\"getViaNode\",value:function getViaNode(){return this._getViaCoordinates()}},{key:\"_getViaCoordinates\",value:function _getViaCoordinates(){var xVia=undefined;var yVia=undefined;var factor=this.options.smooth.roundness;var type=this.options.smooth.type;var dx=Math.abs(this.from.x-this.to.x);var dy=Math.abs(this.from.y-this.to.y);if(type===\"discrete\"||type===\"diagonalCross\"){var stepX=void 0;var stepY=void 0;if(dx<=dy){stepX=stepY=factor*dy}else{stepX=stepY=factor*dx}if(this.from.x>this.to.x)stepX=-stepX;if(this.from.y>=this.to.y)stepY=-stepY;xVia=this.from.x+stepX;yVia=this.from.y+stepY;if(type===\"discrete\"){if(dx<=dy){xVia=dx<factor*dy?this.from.x:xVia}else{yVia=dy<factor*dx?this.from.y:yVia}}}else if(type===\"straightCross\"){var _stepX=(1-factor)*dx;var _stepY=(1-factor)*dy;if(dx<=dy){_stepX=0;if(this.from.y<this.to.y)_stepY=-_stepY}else{if(this.from.x<this.to.x)_stepX=-_stepX;_stepY=0}xVia=this.to.x+_stepX;yVia=this.to.y+_stepY}else if(type===\"horizontal\"){var _stepX2=(1-factor)*dx;if(this.from.x<this.to.x)_stepX2=-_stepX2;xVia=this.to.x+_stepX2;yVia=this.from.y}else if(type===\"vertical\"){var _stepY2=(1-factor)*dy;if(this.from.y<this.to.y)_stepY2=-_stepY2;xVia=this.from.x;yVia=this.to.y+_stepY2}else if(type===\"curvedCW\"){dx=this.to.x-this.from.x;dy=this.from.y-this.to.y;var radius=Math.sqrt(dx*dx+dy*dy);var pi=Math.PI;var originalAngle=Math.atan2(dy,dx);var myAngle=(originalAngle+(factor*.5+.5)*pi)%(2*pi);xVia=this.from.x+(factor*.5+.5)*radius*Math.sin(myAngle);yVia=this.from.y+(factor*.5+.5)*radius*Math.cos(myAngle)}else if(type===\"curvedCCW\"){dx=this.to.x-this.from.x;dy=this.from.y-this.to.y;var _radius=Math.sqrt(dx*dx+dy*dy);var _pi=Math.PI;var _originalAngle=Math.atan2(dy,dx);var _myAngle=(_originalAngle+(-factor*.5+.5)*_pi)%(2*_pi);xVia=this.from.x+(factor*.5+.5)*_radius*Math.sin(_myAngle);yVia=this.from.y+(factor*.5+.5)*_radius*Math.cos(_myAngle)}else{var _stepX3=void 0;var _stepY3=void 0;if(dx<=dy){_stepX3=_stepY3=factor*dy}else{_stepX3=_stepY3=factor*dx}if(this.from.x>this.to.x)_stepX3=-_stepX3;if(this.from.y>=this.to.y)_stepY3=-_stepY3;xVia=this.from.x+_stepX3;yVia=this.from.y+_stepY3;if(dx<=dy){if(this.from.x<=this.to.x){xVia=this.to.x<xVia?this.to.x:xVia}else{xVia=this.to.x>xVia?this.to.x:xVia}}else{if(this.from.y>=this.to.y){yVia=this.to.y>yVia?this.to.y:yVia}else{yVia=this.to.y<yVia?this.to.y:yVia}}}return{x:xVia,y:yVia}}},{key:\"_findBorderPosition\",value:function _findBorderPosition(nearNode,ctx){var options=arguments.length>2&&arguments[2]!==undefined?arguments[2]:{};return this._findBorderPositionBezier(nearNode,ctx,options.via)}},{key:\"_getDistanceToEdge\",value:function _getDistanceToEdge(x1,y1,x2,y2,x3,y3){var viaNode=arguments.length>6&&arguments[6]!==undefined?arguments[6]:this._getViaCoordinates();return this._getDistanceToBezierEdge(x1,y1,x2,y2,x3,y3,viaNode)}},{key:\"getPoint\",value:function getPoint(percentage){var viaNode=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this._getViaCoordinates();var t=percentage;var x=Math.pow(1-t,2)*this.fromPoint.x+2*t*(1-t)*viaNode.x+Math.pow(t,2)*this.toPoint.x;var y=Math.pow(1-t,2)*this.fromPoint.y+2*t*(1-t)*viaNode.y+Math.pow(t,2)*this.toPoint.y;return{x:x,y:y}}}]);return BezierEdgeStatic}(_BezierEdgeBase3[\"default\"]);exports[\"default\"]=BezierEdgeStatic},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _EdgeBase2=__webpack_require__(118);var _EdgeBase3=_interopRequireDefault(_EdgeBase2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var StraightEdge=function(_EdgeBase){(0,_inherits3[\"default\"])(StraightEdge,_EdgeBase);function StraightEdge(options,body,labelModule){(0,_classCallCheck3[\"default\"])(this,StraightEdge);return(0,_possibleConstructorReturn3[\"default\"])(this,(StraightEdge.__proto__||(0,_getPrototypeOf2[\"default\"])(StraightEdge)).call(this,options,body,labelModule))}(0,_createClass3[\"default\"])(StraightEdge,[{key:\"_line\",value:function _line(ctx,values){ctx.beginPath();ctx.moveTo(this.fromPoint.x,this.fromPoint.y);ctx.lineTo(this.toPoint.x,this.toPoint.y);this.enableShadow(ctx,values);ctx.stroke();this.disableShadow(ctx,values)}},{key:\"getViaNode\",value:function getViaNode(){return undefined}},{key:\"getPoint\",value:function getPoint(percentage){return{x:(1-percentage)*this.fromPoint.x+percentage*this.toPoint.x,y:(1-percentage)*this.fromPoint.y+percentage*this.toPoint.y}}},{key:\"_findBorderPosition\",value:function _findBorderPosition(nearNode,ctx){var node1=this.to;var node2=this.from;if(nearNode.id===this.from.id){node1=this.from;node2=this.to}var angle=Math.atan2(node1.y-node2.y,node1.x-node2.x);var dx=node1.x-node2.x;var dy=node1.y-node2.y;var edgeSegmentLength=Math.sqrt(dx*dx+dy*dy);var toBorderDist=nearNode.distanceToBorder(ctx,angle);var toBorderPoint=(edgeSegmentLength-toBorderDist)/edgeSegmentLength;var borderPos={};borderPos.x=(1-toBorderPoint)*node2.x+toBorderPoint*node1.x;borderPos.y=(1-toBorderPoint)*node2.y+toBorderPoint*node1.y;return borderPos}},{key:\"_getDistanceToEdge\",value:function _getDistanceToEdge(x1,y1,x2,y2,x3,y3){return this._getDistanceToLine(x1,y1,x2,y2,x3,y3)}}]);return StraightEdge}(_EdgeBase3[\"default\"]);exports[\"default\"]=StraightEdge},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var BarnesHutSolver=__webpack_require__(120)[\"default\"];var Repulsion=__webpack_require__(221)[\"default\"];var HierarchicalRepulsion=__webpack_require__(222)[\"default\"];var SpringSolver=__webpack_require__(223)[\"default\"];var HierarchicalSpringSolver=__webpack_require__(224)[\"default\"];var CentralGravitySolver=__webpack_require__(121)[\"default\"];var ForceAtlas2BasedRepulsionSolver=__webpack_require__(225)[\"default\"];var ForceAtlas2BasedCentralGravitySolver=__webpack_require__(226)[\"default\"];var util=__webpack_require__(2);var EndPoints=__webpack_require__(119)[\"default\"];var PhysicsEngine=function(){function PhysicsEngine(body){(0,_classCallCheck3[\"default\"])(this,PhysicsEngine);this.body=body;this.physicsBody={physicsNodeIndices:[],physicsEdgeIndices:[],forces:{},velocities:{}};this.physicsEnabled=true;this.simulationInterval=1e3/60;this.requiresTimeout=true;this.previousStates={};this.referenceState={};this.freezeCache={};this.renderTimer=undefined;this.adaptiveTimestep=false;this.adaptiveTimestepEnabled=false;this.adaptiveCounter=0;this.adaptiveInterval=3;this.stabilized=false;this.startedStabilization=false;this.stabilizationIterations=0;this.ready=false;this.options={};this.defaultOptions={enabled:true,barnesHut:{theta:.5,gravitationalConstant:-2e3,centralGravity:.3,springLength:95,springConstant:.04,damping:.09,avoidOverlap:0},forceAtlas2Based:{theta:.5,gravitationalConstant:-50,centralGravity:.01,springConstant:.08,springLength:100,damping:.4,avoidOverlap:0},repulsion:{centralGravity:.2,springLength:200,springConstant:.05,nodeDistance:100,damping:.09,avoidOverlap:0},hierarchicalRepulsion:{centralGravity:0,springLength:100,springConstant:.01,nodeDistance:120,damping:.09},maxVelocity:50,minVelocity:.75,solver:\"barnesHut\",stabilization:{enabled:true,iterations:1e3,updateInterval:50,onlyDynamicEdges:false,fit:true},timestep:.5,adaptiveTimestep:true};util.extend(this.options,this.defaultOptions);this.timestep=.5;this.layoutFailed=false;this.bindEventListeners()}(0,_createClass3[\"default\"])(PhysicsEngine,[{key:\"bindEventListeners\",value:function bindEventListeners(){var _this=this;this.body.emitter.on(\"initPhysics\",function(){_this.initPhysics()});this.body.emitter.on(\"_layoutFailed\",function(){_this.layoutFailed=true});this.body.emitter.on(\"resetPhysics\",function(){_this.stopSimulation();_this.ready=false});this.body.emitter.on(\"disablePhysics\",function(){_this.physicsEnabled=false;_this.stopSimulation()});this.body.emitter.on(\"restorePhysics\",function(){_this.setOptions(_this.options);if(_this.ready===true){_this.startSimulation()}});this.body.emitter.on(\"startSimulation\",function(){if(_this.ready===true){_this.startSimulation()}});this.body.emitter.on(\"stopSimulation\",function(){_this.stopSimulation()});this.body.emitter.on(\"destroy\",function(){_this.stopSimulation(false);_this.body.emitter.off()});this.body.emitter.on(\"_dataChanged\",function(){_this.updatePhysicsData()})}},{key:\"setOptions\",value:function setOptions(options){if(options!==undefined){if(options===false){this.options.enabled=false;this.physicsEnabled=false;this.stopSimulation()}else if(options===true){this.options.enabled=true;this.physicsEnabled=true;this.startSimulation()}else{this.physicsEnabled=true;util.selectiveNotDeepExtend([\"stabilization\"],this.options,options);util.mergeOptions(this.options,options,\"stabilization\");if(options.enabled===undefined){this.options.enabled=true}if(this.options.enabled===false){this.physicsEnabled=false;this.stopSimulation()}this.timestep=this.options.timestep}}this.init()}},{key:\"init\",value:function init(){var options;if(this.options.solver===\"forceAtlas2Based\"){options=this.options.forceAtlas2Based;this.nodesSolver=new ForceAtlas2BasedRepulsionSolver(this.body,this.physicsBody,options);this.edgesSolver=new SpringSolver(this.body,this.physicsBody,options);this.gravitySolver=new ForceAtlas2BasedCentralGravitySolver(this.body,this.physicsBody,options)}else if(this.options.solver===\"repulsion\"){options=this.options.repulsion;this.nodesSolver=new Repulsion(this.body,this.physicsBody,options);this.edgesSolver=new SpringSolver(this.body,this.physicsBody,options);this.gravitySolver=new CentralGravitySolver(this.body,this.physicsBody,options)}else if(this.options.solver===\"hierarchicalRepulsion\"){options=this.options.hierarchicalRepulsion;this.nodesSolver=new HierarchicalRepulsion(this.body,this.physicsBody,options);this.edgesSolver=new HierarchicalSpringSolver(this.body,this.physicsBody,options);this.gravitySolver=new CentralGravitySolver(this.body,this.physicsBody,options)}else{options=this.options.barnesHut;this.nodesSolver=new BarnesHutSolver(this.body,this.physicsBody,options);this.edgesSolver=new SpringSolver(this.body,this.physicsBody,options);this.gravitySolver=new CentralGravitySolver(this.body,this.physicsBody,options)}this.modelOptions=options}},{key:\"initPhysics\",value:function initPhysics(){if(this.physicsEnabled===true&&this.options.enabled===true){if(this.options.stabilization.enabled===true){this.stabilize()}else{this.stabilized=false;this.ready=true;this.body.emitter.emit(\"fit\",{},this.layoutFailed);this.startSimulation()}}else{this.ready=true;this.body.emitter.emit(\"fit\")}}},{key:\"startSimulation\",value:function startSimulation(){if(this.physicsEnabled===true&&this.options.enabled===true){this.stabilized=false;this.adaptiveTimestep=false;this.body.emitter.emit(\"_resizeNodes\");if(this.viewFunction===undefined){this.viewFunction=this.simulationStep.bind(this);this.body.emitter.on(\"initRedraw\",this.viewFunction);this.body.emitter.emit(\"_startRendering\")}}else{this.body.emitter.emit(\"_redraw\")}}},{key:\"stopSimulation\",value:function stopSimulation(){var emit=arguments.length>0&&arguments[0]!==undefined?arguments[0]:true;this.stabilized=true;if(emit===true){this._emitStabilized()}if(this.viewFunction!==undefined){this.body.emitter.off(\"initRedraw\",this.viewFunction);this.viewFunction=undefined;if(emit===true){this.body.emitter.emit(\"_stopRendering\")}}}},{key:\"simulationStep\",value:function simulationStep(){var startTime=Date.now();this.physicsTick();var physicsTime=Date.now()-startTime;if((physicsTime<.4*this.simulationInterval||this.runDoubleSpeed===true)&&this.stabilized===false){this.physicsTick();this.runDoubleSpeed=true}if(this.stabilized===true){this.stopSimulation()}}},{key:\"_emitStabilized\",value:function _emitStabilized(){var _this2=this;var amountOfIterations=arguments.length>0&&arguments[0]!==undefined?arguments[0]:this.stabilizationIterations;if(this.stabilizationIterations>1||this.startedStabilization===true){setTimeout(function(){_this2.body.emitter.emit(\"stabilized\",{iterations:amountOfIterations});_this2.startedStabilization=false;_this2.stabilizationIterations=0},0)}}},{key:\"physicsStep\",value:function physicsStep(){this.gravitySolver.solve();this.nodesSolver.solve();this.edgesSolver.solve();this.moveNodes()}},{key:\"adjustTimeStep\",value:function adjustTimeStep(){var factor=1.2;if(this._evaluateStepQuality()===true){this.timestep=factor*this.timestep}else{if(this.timestep/factor<this.options.timestep){this.timestep=this.options.timestep}else{this.adaptiveCounter=-1;this.timestep=Math.max(this.options.timestep,this.timestep/factor)}}}},{key:\"physicsTick\",value:function physicsTick(){this._startStabilizing();if(this.stabilized===true)return;if(this.adaptiveTimestep===true&&this.adaptiveTimestepEnabled===true){var doAdaptive=this.adaptiveCounter%this.adaptiveInterval===0;if(doAdaptive){this.timestep=2*this.timestep;this.physicsStep();this.revert();this.timestep=.5*this.timestep;this.physicsStep();this.physicsStep();this.adjustTimeStep()}else{this.physicsStep()}this.adaptiveCounter+=1}else{this.timestep=this.options.timestep;this.physicsStep()}\nif(this.stabilized===true)this.revert();this.stabilizationIterations++}},{key:\"updatePhysicsData\",value:function updatePhysicsData(){this.physicsBody.forces={};this.physicsBody.physicsNodeIndices=[];this.physicsBody.physicsEdgeIndices=[];var nodes=this.body.nodes;var edges=this.body.edges;for(var nodeId in nodes){if(nodes.hasOwnProperty(nodeId)){if(nodes[nodeId].options.physics===true){this.physicsBody.physicsNodeIndices.push(nodes[nodeId].id)}}}for(var edgeId in edges){if(edges.hasOwnProperty(edgeId)){if(edges[edgeId].options.physics===true){this.physicsBody.physicsEdgeIndices.push(edges[edgeId].id)}}}for(var i=0;i<this.physicsBody.physicsNodeIndices.length;i++){var _nodeId=this.physicsBody.physicsNodeIndices[i];this.physicsBody.forces[_nodeId]={x:0,y:0};if(this.physicsBody.velocities[_nodeId]===undefined){this.physicsBody.velocities[_nodeId]={x:0,y:0}}}for(var _nodeId2 in this.physicsBody.velocities){if(nodes[_nodeId2]===undefined){delete this.physicsBody.velocities[_nodeId2]}}}},{key:\"revert\",value:function revert(){var nodeIds=(0,_keys2[\"default\"])(this.previousStates);var nodes=this.body.nodes;var velocities=this.physicsBody.velocities;this.referenceState={};for(var i=0;i<nodeIds.length;i++){var nodeId=nodeIds[i];if(nodes[nodeId]!==undefined){if(nodes[nodeId].options.physics===true){this.referenceState[nodeId]={positions:{x:nodes[nodeId].x,y:nodes[nodeId].y}};velocities[nodeId].x=this.previousStates[nodeId].vx;velocities[nodeId].y=this.previousStates[nodeId].vy;nodes[nodeId].x=this.previousStates[nodeId].x;nodes[nodeId].y=this.previousStates[nodeId].y}}else{delete this.previousStates[nodeId]}}}},{key:\"_evaluateStepQuality\",value:function _evaluateStepQuality(){var dx=void 0,dy=void 0,dpos=void 0;var nodes=this.body.nodes;var reference=this.referenceState;var posThreshold=.3;for(var nodeId in this.referenceState){if(this.referenceState.hasOwnProperty(nodeId)&&nodes[nodeId]!==undefined){dx=nodes[nodeId].x-reference[nodeId].positions.x;dy=nodes[nodeId].y-reference[nodeId].positions.y;dpos=Math.sqrt(Math.pow(dx,2)+Math.pow(dy,2));if(dpos>posThreshold){return false}}}return true}},{key:\"moveNodes\",value:function moveNodes(){var nodeIndices=this.physicsBody.physicsNodeIndices;var maxNodeVelocity=0;var averageNodeVelocity=0;var velocityAdaptiveThreshold=5;for(var i=0;i<nodeIndices.length;i++){var nodeId=nodeIndices[i];var nodeVelocity=this._performStep(nodeId);maxNodeVelocity=Math.max(maxNodeVelocity,nodeVelocity);averageNodeVelocity+=nodeVelocity}this.adaptiveTimestepEnabled=averageNodeVelocity/nodeIndices.length<velocityAdaptiveThreshold;this.stabilized=maxNodeVelocity<this.options.minVelocity}},{key:\"calculateComponentVelocity\",value:function calculateComponentVelocity(v,f,m){var df=this.modelOptions.damping*v;var a=(f-df)/m;v+=a*this.timestep;var maxV=this.options.maxVelocity||1e9;if(Math.abs(v)>maxV){v=v>0?maxV:-maxV}return v}},{key:\"_performStep\",value:function _performStep(nodeId){var node=this.body.nodes[nodeId];var force=this.physicsBody.forces[nodeId];var velocity=this.physicsBody.velocities[nodeId];this.previousStates[nodeId]={x:node.x,y:node.y,vx:velocity.x,vy:velocity.y};if(node.options.fixed.x===false){velocity.x=this.calculateComponentVelocity(velocity.x,force.x,node.options.mass);node.x+=velocity.x*this.timestep}else{force.x=0;velocity.x=0}if(node.options.fixed.y===false){velocity.y=this.calculateComponentVelocity(velocity.y,force.y,node.options.mass);node.y+=velocity.y*this.timestep}else{force.y=0;velocity.y=0}var totalVelocity=Math.sqrt(Math.pow(velocity.x,2)+Math.pow(velocity.y,2));return totalVelocity}},{key:\"_freezeNodes\",value:function _freezeNodes(){var nodes=this.body.nodes;for(var id in nodes){if(nodes.hasOwnProperty(id)){if(nodes[id].x&&nodes[id].y){var fixed=nodes[id].options.fixed;this.freezeCache[id]={x:fixed.x,y:fixed.y};fixed.x=true;fixed.y=true}}}}},{key:\"_restoreFrozenNodes\",value:function _restoreFrozenNodes(){var nodes=this.body.nodes;for(var id in nodes){if(nodes.hasOwnProperty(id)){if(this.freezeCache[id]!==undefined){nodes[id].options.fixed.x=this.freezeCache[id].x;nodes[id].options.fixed.y=this.freezeCache[id].y}}}this.freezeCache={}}},{key:\"stabilize\",value:function stabilize(){var _this3=this;var iterations=arguments.length>0&&arguments[0]!==undefined?arguments[0]:this.options.stabilization.iterations;if(typeof iterations!==\"number\"){iterations=this.options.stabilization.iterations;console.log(\"The stabilize method needs a numeric amount of iterations. Switching to default: \",iterations)}if(this.physicsBody.physicsNodeIndices.length===0){this.ready=true;return}this.adaptiveTimestep=true&&this.options.adaptiveTimestep;this.body.emitter.emit(\"_resizeNodes\");this.stopSimulation();this.stabilized=false;this.body.emitter.emit(\"_blockRedraw\");this.targetIterations=iterations;if(this.options.stabilization.onlyDynamicEdges===true){this._freezeNodes()}this.stabilizationIterations=0;setTimeout(function(){return _this3._stabilizationBatch()},0)}},{key:\"_startStabilizing\",value:function _startStabilizing(){if(this.startedStabilization===true)return false;this.body.emitter.emit(\"startStabilizing\");this.startedStabilization=true;return true}},{key:\"_stabilizationBatch\",value:function _stabilizationBatch(){var _this4=this;var running=function running(){return _this4.stabilized===false&&_this4.stabilizationIterations<_this4.targetIterations};var sendProgress=function sendProgress(){_this4.body.emitter.emit(\"stabilizationProgress\",{iterations:_this4.stabilizationIterations,total:_this4.targetIterations})};if(this._startStabilizing()){sendProgress()}var count=0;while(running()&&count<this.options.stabilization.updateInterval){this.physicsTick();count++}sendProgress();if(running()){setTimeout(this._stabilizationBatch.bind(this),0)}else{this._finalizeStabilization()}}},{key:\"_finalizeStabilization\",value:function _finalizeStabilization(){this.body.emitter.emit(\"_allowRedraw\");if(this.options.stabilization.fit===true){this.body.emitter.emit(\"fit\")}if(this.options.stabilization.onlyDynamicEdges===true){this._restoreFrozenNodes()}this.body.emitter.emit(\"stabilizationIterationsDone\");this.body.emitter.emit(\"_requestRedraw\");if(this.stabilized===true){this._emitStabilized()}else{this.startSimulation()}this.ready=true}},{key:\"_drawForces\",value:function _drawForces(ctx){for(var i=0;i<this.physicsBody.physicsNodeIndices.length;i++){var index=this.physicsBody.physicsNodeIndices[i];var node=this.body.nodes[index];var force=this.physicsBody.forces[index];var factor=20;var colorFactor=.03;var forceSize=Math.sqrt(Math.pow(force.x,2)+Math.pow(force.x,2));var size=Math.min(Math.max(5,forceSize),15);var arrowSize=3*size;var color=util.HSVToHex((180-Math.min(1,Math.max(0,colorFactor*forceSize))*180)/360,1,1);var point={x:node.x+factor*force.x,y:node.y+factor*force.y};ctx.lineWidth=size;ctx.strokeStyle=color;ctx.beginPath();ctx.moveTo(node.x,node.y);ctx.lineTo(point.x,point.y);ctx.stroke();var angle=Math.atan2(force.y,force.x);ctx.fillStyle=color;EndPoints.draw(ctx,{type:\"arrow\",point:point,angle:angle,length:arrowSize});ctx.fill()}}}]);return PhysicsEngine}();exports[\"default\"]=PhysicsEngine},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var RepulsionSolver=function(){function RepulsionSolver(body,physicsBody,options){(0,_classCallCheck3[\"default\"])(this,RepulsionSolver);this.body=body;this.physicsBody=physicsBody;this.setOptions(options)}(0,_createClass3[\"default\"])(RepulsionSolver,[{key:\"setOptions\",value:function setOptions(options){this.options=options}},{key:\"solve\",value:function solve(){var dx,dy,distance,fx,fy,repulsingForce,node1,node2;var nodes=this.body.nodes;var nodeIndices=this.physicsBody.physicsNodeIndices;var forces=this.physicsBody.forces;var nodeDistance=this.options.nodeDistance;var a=-2/3/nodeDistance;var b=4/3;for(var i=0;i<nodeIndices.length-1;i++){node1=nodes[nodeIndices[i]];for(var j=i+1;j<nodeIndices.length;j++){node2=nodes[nodeIndices[j]];dx=node2.x-node1.x;dy=node2.y-node1.y;distance=Math.sqrt(dx*dx+dy*dy);if(distance===0){distance=.1*Math.random();dx=distance}if(distance<2*nodeDistance){if(distance<.5*nodeDistance){repulsingForce=1}else{repulsingForce=a*distance+b}repulsingForce=repulsingForce/distance;fx=dx*repulsingForce;fy=dy*repulsingForce;forces[node1.id].x-=fx;forces[node1.id].y-=fy;forces[node2.id].x+=fx;forces[node2.id].y+=fy}}}}}]);return RepulsionSolver}();exports[\"default\"]=RepulsionSolver},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var HierarchicalRepulsionSolver=function(){function HierarchicalRepulsionSolver(body,physicsBody,options){(0,_classCallCheck3[\"default\"])(this,HierarchicalRepulsionSolver);this.body=body;this.physicsBody=physicsBody;this.setOptions(options)}(0,_createClass3[\"default\"])(HierarchicalRepulsionSolver,[{key:\"setOptions\",value:function setOptions(options){this.options=options}},{key:\"solve\",value:function solve(){var dx,dy,distance,fx,fy,repulsingForce,node1,node2,i,j;var nodes=this.body.nodes;var nodeIndices=this.physicsBody.physicsNodeIndices;var forces=this.physicsBody.forces;var nodeDistance=this.options.nodeDistance;for(i=0;i<nodeIndices.length-1;i++){node1=nodes[nodeIndices[i]];for(j=i+1;j<nodeIndices.length;j++){node2=nodes[nodeIndices[j]];if(node1.level===node2.level){dx=node2.x-node1.x;dy=node2.y-node1.y;distance=Math.sqrt(dx*dx+dy*dy);var steepness=.05;if(distance<nodeDistance){repulsingForce=-Math.pow(steepness*distance,2)+Math.pow(steepness*nodeDistance,2)}else{repulsingForce=0}if(distance===0){distance=.01}else{repulsingForce=repulsingForce/distance}fx=dx*repulsingForce;fy=dy*repulsingForce;forces[node1.id].x-=fx;forces[node1.id].y-=fy;forces[node2.id].x+=fx;forces[node2.id].y+=fy}}}}}]);return HierarchicalRepulsionSolver}();exports[\"default\"]=HierarchicalRepulsionSolver},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var SpringSolver=function(){function SpringSolver(body,physicsBody,options){(0,_classCallCheck3[\"default\"])(this,SpringSolver);this.body=body;this.physicsBody=physicsBody;this.setOptions(options)}(0,_createClass3[\"default\"])(SpringSolver,[{key:\"setOptions\",value:function setOptions(options){this.options=options}},{key:\"solve\",value:function solve(){var edgeLength=void 0,edge=void 0;var edgeIndices=this.physicsBody.physicsEdgeIndices;var edges=this.body.edges;var node1=void 0,node2=void 0,node3=void 0;for(var i=0;i<edgeIndices.length;i++){edge=edges[edgeIndices[i]];if(edge.connected===true&&edge.toId!==edge.fromId){if(this.body.nodes[edge.toId]!==undefined&&this.body.nodes[edge.fromId]!==undefined){if(edge.edgeType.via!==undefined){edgeLength=edge.options.length===undefined?this.options.springLength:edge.options.length;node1=edge.to;node2=edge.edgeType.via;node3=edge.from;this._calculateSpringForce(node1,node2,.5*edgeLength);this._calculateSpringForce(node2,node3,.5*edgeLength)}else{edgeLength=edge.options.length===undefined?this.options.springLength*1.5:edge.options.length;this._calculateSpringForce(edge.from,edge.to,edgeLength)}}}}}},{key:\"_calculateSpringForce\",value:function _calculateSpringForce(node1,node2,edgeLength){var dx=node1.x-node2.x;var dy=node1.y-node2.y;var distance=Math.max(Math.sqrt(dx*dx+dy*dy),.01);var springForce=this.options.springConstant*(edgeLength-distance)/distance;var fx=dx*springForce;var fy=dy*springForce;if(this.physicsBody.forces[node1.id]!==undefined){this.physicsBody.forces[node1.id].x+=fx;this.physicsBody.forces[node1.id].y+=fy}if(this.physicsBody.forces[node2.id]!==undefined){this.physicsBody.forces[node2.id].x-=fx;this.physicsBody.forces[node2.id].y-=fy}}}]);return SpringSolver}();exports[\"default\"]=SpringSolver},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var HierarchicalSpringSolver=function(){function HierarchicalSpringSolver(body,physicsBody,options){(0,_classCallCheck3[\"default\"])(this,HierarchicalSpringSolver);this.body=body;this.physicsBody=physicsBody;this.setOptions(options)}(0,_createClass3[\"default\"])(HierarchicalSpringSolver,[{key:\"setOptions\",value:function setOptions(options){this.options=options}},{key:\"solve\",value:function solve(){var edgeLength,edge;var dx,dy,fx,fy,springForce,distance;var edges=this.body.edges;var factor=.5;var edgeIndices=this.physicsBody.physicsEdgeIndices;var nodeIndices=this.physicsBody.physicsNodeIndices;var forces=this.physicsBody.forces;for(var i=0;i<nodeIndices.length;i++){var nodeId=nodeIndices[i];forces[nodeId].springFx=0;forces[nodeId].springFy=0}for(var _i=0;_i<edgeIndices.length;_i++){edge=edges[edgeIndices[_i]];if(edge.connected===true){edgeLength=edge.options.length===undefined?this.options.springLength:edge.options.length;dx=edge.from.x-edge.to.x;dy=edge.from.y-edge.to.y;distance=Math.sqrt(dx*dx+dy*dy);distance=distance===0?.01:distance;springForce=this.options.springConstant*(edgeLength-distance)/distance;fx=dx*springForce;fy=dy*springForce;if(edge.to.level!=edge.from.level){if(forces[edge.toId]!==undefined){forces[edge.toId].springFx-=fx;forces[edge.toId].springFy-=fy}if(forces[edge.fromId]!==undefined){forces[edge.fromId].springFx+=fx;forces[edge.fromId].springFy+=fy}}else{if(forces[edge.toId]!==undefined){forces[edge.toId].x-=factor*fx;forces[edge.toId].y-=factor*fy}if(forces[edge.fromId]!==undefined){forces[edge.fromId].x+=factor*fx;forces[edge.fromId].y+=factor*fy}}}}springForce=1;var springFx,springFy;for(var _i2=0;_i2<nodeIndices.length;_i2++){var _nodeId=nodeIndices[_i2];springFx=Math.min(springForce,Math.max(-springForce,forces[_nodeId].springFx));springFy=Math.min(springForce,Math.max(-springForce,forces[_nodeId].springFy));forces[_nodeId].x+=springFx;forces[_nodeId].y+=springFy}var totalFx=0;var totalFy=0;for(var _i3=0;_i3<nodeIndices.length;_i3++){var _nodeId2=nodeIndices[_i3];totalFx+=forces[_nodeId2].x;totalFy+=forces[_nodeId2].y}var correctionFx=totalFx/nodeIndices.length;var correctionFy=totalFy/nodeIndices.length;for(var _i4=0;_i4<nodeIndices.length;_i4++){var _nodeId3=nodeIndices[_i4];forces[_nodeId3].x-=correctionFx;forces[_nodeId3].y-=correctionFy}}}]);return HierarchicalSpringSolver}();exports[\"default\"]=HierarchicalSpringSolver},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _BarnesHutSolver2=__webpack_require__(120);var _BarnesHutSolver3=_interopRequireDefault(_BarnesHutSolver2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var ForceAtlas2BasedRepulsionSolver=function(_BarnesHutSolver){(0,_inherits3[\"default\"])(ForceAtlas2BasedRepulsionSolver,_BarnesHutSolver);function ForceAtlas2BasedRepulsionSolver(body,physicsBody,options){(0,_classCallCheck3[\"default\"])(this,ForceAtlas2BasedRepulsionSolver);return(0,_possibleConstructorReturn3[\"default\"])(this,(ForceAtlas2BasedRepulsionSolver.__proto__||(0,_getPrototypeOf2[\"default\"])(ForceAtlas2BasedRepulsionSolver)).call(this,body,physicsBody,options))}(0,_createClass3[\"default\"])(ForceAtlas2BasedRepulsionSolver,[{key:\"_calculateForces\",value:function _calculateForces(distance,dx,dy,node,parentBranch){if(distance===0){distance=.1*Math.random();dx=distance}if(this.overlapAvoidanceFactor<1&&node.shape.radius){distance=Math.max(.1+this.overlapAvoidanceFactor*node.shape.radius,distance-node.shape.radius)}var degree=node.edges.length+1;var gravityForce=this.options.gravitationalConstant*parentBranch.mass*node.options.mass*degree/Math.pow(distance,2);var fx=dx*gravityForce;var fy=dy*gravityForce;this.physicsBody.forces[node.id].x+=fx;this.physicsBody.forces[node.id].y+=fy}}]);return ForceAtlas2BasedRepulsionSolver}(_BarnesHutSolver3[\"default\"]);exports[\"default\"]=ForceAtlas2BasedRepulsionSolver},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _CentralGravitySolver2=__webpack_require__(121);var _CentralGravitySolver3=_interopRequireDefault(_CentralGravitySolver2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var ForceAtlas2BasedCentralGravitySolver=function(_CentralGravitySolver){(0,_inherits3[\"default\"])(ForceAtlas2BasedCentralGravitySolver,_CentralGravitySolver);function ForceAtlas2BasedCentralGravitySolver(body,physicsBody,options){(0,_classCallCheck3[\"default\"])(this,ForceAtlas2BasedCentralGravitySolver);return(0,_possibleConstructorReturn3[\"default\"])(this,(ForceAtlas2BasedCentralGravitySolver.__proto__||(0,_getPrototypeOf2[\"default\"])(ForceAtlas2BasedCentralGravitySolver)).call(this,body,physicsBody,options))}(0,_createClass3[\"default\"])(ForceAtlas2BasedCentralGravitySolver,[{key:\"_calculateForces\",value:function _calculateForces(distance,dx,dy,forces,node){if(distance>0){var degree=node.edges.length+1;var gravityForce=this.options.centralGravity*degree*node.options.mass;forces[node.id].x=dx*gravityForce;forces[node.id].y=dy*gravityForce}}}]);return ForceAtlas2BasedCentralGravitySolver}(_CentralGravitySolver3[\"default\"]);exports[\"default\"]=ForceAtlas2BasedCentralGravitySolver},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var NetworkUtil=__webpack_require__(76)[\"default\"];var Cluster=__webpack_require__(228)[\"default\"];var Edge=__webpack_require__(74)[\"default\"];var Node=__webpack_require__(47)[\"default\"];var ClusterEngine=function(){function ClusterEngine(body){var _this=this;(0,_classCallCheck3[\"default\"])(this,ClusterEngine);this.body=body;this.clusteredNodes={};this.clusteredEdges={};this.options={};this.defaultOptions={};util.extend(this.options,this.defaultOptions);this.body.emitter.on(\"_resetData\",function(){_this.clusteredNodes={};_this.clusteredEdges={}})}(0,_createClass3[\"default\"])(ClusterEngine,[{key:\"clusterByHubsize\",value:function clusterByHubsize(hubsize,options){if(hubsize===undefined){hubsize=this._getHubSize()}else if((typeof hubsize===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(hubsize))===\"object\"){options=this._checkOptions(hubsize);hubsize=this._getHubSize()}var nodesToCluster=[];for(var i=0;i<this.body.nodeIndices.length;i++){var node=this.body.nodes[this.body.nodeIndices[i]];if(node.edges.length>=hubsize){nodesToCluster.push(node.id)}}for(var _i=0;_i<nodesToCluster.length;_i++){this.clusterByConnection(nodesToCluster[_i],options,true)}this.body.emitter.emit(\"_dataChanged\")}},{key:\"cluster\",value:function cluster(){var _this2=this;var options=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{};var refreshData=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;if(options.joinCondition===undefined){throw new Error(\"Cannot call clusterByNodeData without a joinCondition function in the options.\")}options=this._checkOptions(options);var childNodesObj={};var childEdgesObj={};util.forEach(this.body.nodes,function(node,nodeId){var clonedOptions=NetworkUtil.cloneOptions(node);if(options.joinCondition(clonedOptions)===true){childNodesObj[nodeId]=node;util.forEach(node.edges,function(edge){if(_this2.clusteredEdges[edge.id]===undefined){childEdgesObj[edge.id]=edge}})}});this._cluster(childNodesObj,childEdgesObj,options,refreshData)}},{key:\"clusterByEdgeCount\",value:function clusterByEdgeCount(edgeCount,options){var _this3=this;var refreshData=arguments.length>2&&arguments[2]!==undefined?arguments[2]:true;options=this._checkOptions(options);var clusters=[];var usedNodes={};var edge=void 0,edges=void 0,relevantEdgeCount=void 0;var _loop=function _loop(i){var childNodesObj={};var childEdgesObj={};var nodeId=_this3.body.nodeIndices[i];var node=_this3.body.nodes[nodeId];if(usedNodes[nodeId]===undefined){relevantEdgeCount=0;edges=[];for(var j=0;j<node.edges.length;j++){edge=node.edges[j];if(_this3.clusteredEdges[edge.id]===undefined){if(edge.toId!==edge.fromId){relevantEdgeCount++}edges.push(edge)}}if(relevantEdgeCount===edgeCount){checkJoinCondition=function checkJoinCondition(node){if(options.joinCondition===undefined||options.joinCondition===null){return true}var clonedOptions=NetworkUtil.cloneOptions(node);return options.joinCondition(clonedOptions)};var gatheringSuccessful=true;for(var _j=0;_j<edges.length;_j++){edge=edges[_j];var childNodeId=_this3._getConnectedId(edge,nodeId);if(checkJoinCondition(node)){childEdgesObj[edge.id]=edge;childNodesObj[nodeId]=node;childNodesObj[childNodeId]=_this3.body.nodes[childNodeId];usedNodes[nodeId]=true}else{gatheringSuccessful=false;break}}if((0,_keys2[\"default\"])(childNodesObj).length>0&&(0,_keys2[\"default\"])(childEdgesObj).length>0&&gatheringSuccessful===true){findClusterData=function findClusterData(){for(var n=0;n<clusters.length;++n){for(var m in childNodesObj){if(clusters[n].nodes[m]!==undefined){return clusters[n]}}}return undefined};foundCluster=findClusterData();if(foundCluster!==undefined){for(var m in childNodesObj){if(foundCluster.nodes[m]===undefined){foundCluster.nodes[m]=childNodesObj[m]}}for(var _m in childEdgesObj){if(foundCluster.edges[_m]===undefined){foundCluster.edges[_m]=childEdgesObj[_m]}}}else{clusters.push({nodes:childNodesObj,edges:childEdgesObj})}}}}};for(var i=0;i<this.body.nodeIndices.length;i++){var checkJoinCondition;var findClusterData;var foundCluster;_loop(i)}for(var i=0;i<clusters.length;i++){this._cluster(clusters[i].nodes,clusters[i].edges,options,false)}if(refreshData===true){this.body.emitter.emit(\"_dataChanged\")}}},{key:\"clusterOutliers\",value:function clusterOutliers(options){var refreshData=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;this.clusterByEdgeCount(1,options,refreshData)}},{key:\"clusterBridges\",value:function clusterBridges(options){var refreshData=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;this.clusterByEdgeCount(2,options,refreshData)}},{key:\"clusterByConnection\",value:function clusterByConnection(nodeId,options){var refreshData=arguments.length>2&&arguments[2]!==undefined?arguments[2]:true;if(nodeId===undefined){throw new Error(\"No nodeId supplied to clusterByConnection!\")}if(this.body.nodes[nodeId]===undefined){throw new Error(\"The nodeId given to clusterByConnection does not exist!\")}var node=this.body.nodes[nodeId];options=this._checkOptions(options,node);if(options.clusterNodeProperties.x===undefined){options.clusterNodeProperties.x=node.x}if(options.clusterNodeProperties.y===undefined){options.clusterNodeProperties.y=node.y}if(options.clusterNodeProperties.fixed===undefined){options.clusterNodeProperties.fixed={};options.clusterNodeProperties.fixed.x=node.options.fixed.x;options.clusterNodeProperties.fixed.y=node.options.fixed.y}var childNodesObj={};var childEdgesObj={};var parentNodeId=node.id;var parentClonedOptions=NetworkUtil.cloneOptions(node);childNodesObj[parentNodeId]=node;for(var i=0;i<node.edges.length;i++){var edge=node.edges[i];if(this.clusteredEdges[edge.id]===undefined){var childNodeId=this._getConnectedId(edge,parentNodeId);if(this.clusteredNodes[childNodeId]===undefined){if(childNodeId!==parentNodeId){if(options.joinCondition===undefined){childEdgesObj[edge.id]=edge;childNodesObj[childNodeId]=this.body.nodes[childNodeId]}else{var childClonedOptions=NetworkUtil.cloneOptions(this.body.nodes[childNodeId]);if(options.joinCondition(parentClonedOptions,childClonedOptions)===true){childEdgesObj[edge.id]=edge;childNodesObj[childNodeId]=this.body.nodes[childNodeId]}}}else{childEdgesObj[edge.id]=edge}}}}var childNodeIDs=(0,_keys2[\"default\"])(childNodesObj).map(function(childNode){return childNodesObj[childNode].id});for(childNode in childNodesObj){if(!childNodesObj.hasOwnProperty(childNode))continue;var childNode=childNodesObj[childNode];for(var y=0;y<childNode.edges.length;y++){var childEdge=childNode.edges[y];if(childNodeIDs.indexOf(this._getConnectedId(childEdge,childNode.id))>-1){childEdgesObj[childEdge.id]=childEdge}}}this._cluster(childNodesObj,childEdgesObj,options,refreshData)}},{key:\"_createClusterEdges\",value:function _createClusterEdges(childNodesObj,childEdgesObj,clusterNodeProperties,clusterEdgeProperties){var edge=void 0,childNodeId=void 0,childNode=void 0,toId=void 0,fromId=void 0,otherNodeId=void 0;var childKeys=(0,_keys2[\"default\"])(childNodesObj);var createEdges=[];for(var i=0;i<childKeys.length;i++){childNodeId=childKeys[i];childNode=childNodesObj[childNodeId];for(var j=0;j<childNode.edges.length;j++){edge=childNode.edges[j];if(this.clusteredEdges[edge.id]===undefined){if(edge.toId==edge.fromId){childEdgesObj[edge.id]=edge}else{if(edge.toId==childNodeId){toId=clusterNodeProperties.id;fromId=edge.fromId;otherNodeId=fromId}else{toId=edge.toId;fromId=clusterNodeProperties.id;otherNodeId=toId}}if(childNodesObj[otherNodeId]===undefined){createEdges.push({edge:edge,fromId:fromId,toId:toId})}}}}var newEdges=[];var getNewEdge=function getNewEdge(createdEdge){for(var _j2=0;_j2<newEdges.length;_j2++){var newEdge=newEdges[_j2];var matchToDirection=createdEdge.fromId===newEdge.fromId&&createdEdge.toId===newEdge.toId;var matchFromDirection=createdEdge.fromId===newEdge.toId&&createdEdge.toId===newEdge.fromId;if(matchToDirection||matchFromDirection){return newEdge}}return null};for(var _j3=0;_j3<createEdges.length;_j3++){var createdEdge=createEdges[_j3];var _edge=createdEdge.edge;var newEdge=getNewEdge(createdEdge);if(newEdge===null){newEdge=this._createClusteredEdge(createdEdge.fromId,createdEdge.toId,_edge,clusterEdgeProperties);newEdges.push(newEdge)}else{newEdge.clusteringEdgeReplacingIds.push(_edge.id)}this.body.edges[_edge.id].edgeReplacedById=newEdge.id;this._backupEdgeOptions(_edge);_edge.setOptions({physics:false})}}},{key:\"_checkOptions\",value:function _checkOptions(){var options=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{};if(options.clusterEdgeProperties===undefined){options.clusterEdgeProperties={}}if(options.clusterNodeProperties===undefined){options.clusterNodeProperties={}}return options}},{key:\"_cluster\",value:function _cluster(childNodesObj,childEdgesObj,options){var refreshData=arguments.length>3&&arguments[3]!==undefined?arguments[3]:true;var tmpNodesToRemove=[];for(var _nodeId in childNodesObj){if(childNodesObj.hasOwnProperty(_nodeId)){if(this.clusteredNodes[_nodeId]!==undefined){tmpNodesToRemove.push(_nodeId)}}}for(var n=0;n<tmpNodesToRemove.length;++n){delete childNodesObj[tmpNodesToRemove[n]]}if((0,_keys2[\"default\"])(childNodesObj).length==0){return}if((0,_keys2[\"default\"])(childNodesObj).length==1&&options.clusterNodeProperties.allowSingleNodeCluster!=true){return}var clusterNodeProperties=util.deepExtend({},options.clusterNodeProperties);if(options.processProperties!==undefined){var childNodesOptions=[];for(var _nodeId2 in childNodesObj){if(childNodesObj.hasOwnProperty(_nodeId2)){var clonedOptions=NetworkUtil.cloneOptions(childNodesObj[_nodeId2]);childNodesOptions.push(clonedOptions)}}var childEdgesOptions=[];for(var edgeId in childEdgesObj){if(childEdgesObj.hasOwnProperty(edgeId)){if(edgeId.substr(0,12)!==\"clusterEdge:\"){var _clonedOptions=NetworkUtil.cloneOptions(childEdgesObj[edgeId],\"edge\");childEdgesOptions.push(_clonedOptions)}}}clusterNodeProperties=options.processProperties(clusterNodeProperties,childNodesOptions,childEdgesOptions);if(!clusterNodeProperties){throw new Error(\"The processProperties function does not return properties!\")}}if(clusterNodeProperties.id===undefined){clusterNodeProperties.id=\"cluster:\"+util.randomUUID()}var clusterId=clusterNodeProperties.id;if(clusterNodeProperties.label===undefined){clusterNodeProperties.label=\"cluster\"}var pos=undefined;if(clusterNodeProperties.x===undefined){pos=this._getClusterPosition(childNodesObj);clusterNodeProperties.x=pos.x}if(clusterNodeProperties.y===undefined){if(pos===undefined){pos=this._getClusterPosition(childNodesObj)}clusterNodeProperties.y=pos.y}clusterNodeProperties.id=clusterId;var clusterNode=this.body.functions.createNode(clusterNodeProperties,Cluster);clusterNode.containedNodes=childNodesObj;clusterNode.containedEdges=childEdgesObj;clusterNode.clusterEdgeProperties=options.clusterEdgeProperties;this.body.nodes[clusterNodeProperties.id]=clusterNode;this._clusterEdges(childNodesObj,childEdgesObj,clusterNodeProperties,options.clusterEdgeProperties);clusterNodeProperties.id=undefined;if(refreshData===true){this.body.emitter.emit(\"_dataChanged\")}}},{key:\"_backupEdgeOptions\",value:function _backupEdgeOptions(edge){if(this.clusteredEdges[edge.id]===undefined){this.clusteredEdges[edge.id]={physics:edge.options.physics}}}},{key:\"_restoreEdge\",value:function _restoreEdge(edge){var originalOptions=this.clusteredEdges[edge.id];if(originalOptions!==undefined){edge.setOptions({physics:originalOptions.physics});delete this.clusteredEdges[edge.id]}}},{key:\"isCluster\",value:function isCluster(nodeId){if(this.body.nodes[nodeId]!==undefined){return this.body.nodes[nodeId].isCluster===true}else{console.log(\"Node does not exist.\");return false}}},{key:\"_getClusterPosition\",value:function _getClusterPosition(childNodesObj){var childKeys=(0,_keys2[\"default\"])(childNodesObj);var minX=childNodesObj[childKeys[0]].x;var maxX=childNodesObj[childKeys[0]].x;var minY=childNodesObj[childKeys[0]].y;var maxY=childNodesObj[childKeys[0]].y;var node=void 0;for(var i=1;i<childKeys.length;i++){node=childNodesObj[childKeys[i]];minX=node.x<minX?node.x:minX;maxX=node.x>maxX?node.x:maxX\n;minY=node.y<minY?node.y:minY;maxY=node.y>maxY?node.y:maxY}return{x:.5*(minX+maxX),y:.5*(minY+maxY)}}},{key:\"openCluster\",value:function openCluster(clusterNodeId,options){var refreshData=arguments.length>2&&arguments[2]!==undefined?arguments[2]:true;if(clusterNodeId===undefined){throw new Error(\"No clusterNodeId supplied to openCluster.\")}var clusterNode=this.body.nodes[clusterNodeId];if(clusterNode===undefined){throw new Error(\"The clusterNodeId supplied to openCluster does not exist.\")}if(clusterNode.isCluster!==true||clusterNode.containedNodes===undefined||clusterNode.containedEdges===undefined){throw new Error(\"The node:\"+clusterNodeId+\" is not a valid cluster.\")}var stack=this.findNode(clusterNodeId);var parentIndex=stack.indexOf(clusterNodeId)-1;if(parentIndex>=0){var parentClusterNodeId=stack[parentIndex];var parentClusterNode=this.body.nodes[parentClusterNodeId];parentClusterNode._openChildCluster(clusterNodeId);delete this.body.nodes[clusterNodeId];if(refreshData===true){this.body.emitter.emit(\"_dataChanged\")}return}var containedNodes=clusterNode.containedNodes;var containedEdges=clusterNode.containedEdges;if(options!==undefined&&options.releaseFunction!==undefined&&typeof options.releaseFunction===\"function\"){var positions={};var clusterPosition={x:clusterNode.x,y:clusterNode.y};for(var _nodeId3 in containedNodes){if(containedNodes.hasOwnProperty(_nodeId3)){var containedNode=this.body.nodes[_nodeId3];positions[_nodeId3]={x:containedNode.x,y:containedNode.y}}}var newPositions=options.releaseFunction(clusterPosition,positions);for(var _nodeId4 in containedNodes){if(containedNodes.hasOwnProperty(_nodeId4)){var _containedNode=this.body.nodes[_nodeId4];if(newPositions[_nodeId4]!==undefined){_containedNode.x=newPositions[_nodeId4].x===undefined?clusterNode.x:newPositions[_nodeId4].x;_containedNode.y=newPositions[_nodeId4].y===undefined?clusterNode.y:newPositions[_nodeId4].y}}}}else{util.forEach(containedNodes,function(containedNode){if(containedNode.options.fixed.x===false){containedNode.x=clusterNode.x}if(containedNode.options.fixed.y===false){containedNode.y=clusterNode.y}})}for(var _nodeId5 in containedNodes){if(containedNodes.hasOwnProperty(_nodeId5)){var _containedNode2=this.body.nodes[_nodeId5];_containedNode2.vx=clusterNode.vx;_containedNode2.vy=clusterNode.vy;_containedNode2.setOptions({physics:true});delete this.clusteredNodes[_nodeId5]}}var edgesToBeDeleted=[];for(var i=0;i<clusterNode.edges.length;i++){edgesToBeDeleted.push(clusterNode.edges[i])}for(var _i2=0;_i2<edgesToBeDeleted.length;_i2++){var edge=edgesToBeDeleted[_i2];var otherNodeId=this._getConnectedId(edge,clusterNodeId);var otherNode=this.clusteredNodes[otherNodeId];for(var j=0;j<edge.clusteringEdgeReplacingIds.length;j++){var transferId=edge.clusteringEdgeReplacingIds[j];var transferEdge=this.body.edges[transferId];if(transferEdge===undefined)continue;if(otherNode!==undefined){var otherCluster=this.body.nodes[otherNode.clusterId];otherCluster.containedEdges[transferEdge.id]=transferEdge;delete containedEdges[transferEdge.id];var fromId=transferEdge.fromId;var toId=transferEdge.toId;if(transferEdge.toId==otherNodeId){toId=otherNode.clusterId}else{fromId=otherNode.clusterId}this._createClusteredEdge(fromId,toId,transferEdge,otherCluster.clusterEdgeProperties,{hidden:false,physics:true})}else{this._restoreEdge(transferEdge)}}edge.remove()}for(var edgeId in containedEdges){if(containedEdges.hasOwnProperty(edgeId)){this._restoreEdge(containedEdges[edgeId])}}delete this.body.nodes[clusterNodeId];if(refreshData===true){this.body.emitter.emit(\"_dataChanged\")}}},{key:\"getNodesInCluster\",value:function getNodesInCluster(clusterId){var nodesArray=[];if(this.isCluster(clusterId)===true){var containedNodes=this.body.nodes[clusterId].containedNodes;for(var _nodeId6 in containedNodes){if(containedNodes.hasOwnProperty(_nodeId6)){nodesArray.push(this.body.nodes[_nodeId6].id)}}}return nodesArray}},{key:\"findNode\",value:function findNode(nodeId){var stack=[];var max=100;var counter=0;var node=void 0;while(this.clusteredNodes[nodeId]!==undefined&&counter<max){node=this.body.nodes[nodeId];if(node===undefined)return[];stack.push(node.id);nodeId=this.clusteredNodes[nodeId].clusterId;counter++}node=this.body.nodes[nodeId];if(node===undefined)return[];stack.push(node.id);stack.reverse();return stack}},{key:\"updateClusteredNode\",value:function updateClusteredNode(clusteredNodeId,newOptions){if(clusteredNodeId===undefined){throw new Error(\"No clusteredNodeId supplied to updateClusteredNode.\")}if(newOptions===undefined){throw new Error(\"No newOptions supplied to updateClusteredNode.\")}if(this.body.nodes[clusteredNodeId]===undefined){throw new Error(\"The clusteredNodeId supplied to updateClusteredNode does not exist.\")}this.body.nodes[clusteredNodeId].setOptions(newOptions);this.body.emitter.emit(\"_dataChanged\")}},{key:\"updateEdge\",value:function updateEdge(startEdgeId,newOptions){if(startEdgeId===undefined){throw new Error(\"No startEdgeId supplied to updateEdge.\")}if(newOptions===undefined){throw new Error(\"No newOptions supplied to updateEdge.\")}if(this.body.edges[startEdgeId]===undefined){throw new Error(\"The startEdgeId supplied to updateEdge does not exist.\")}var allEdgeIds=this.getClusteredEdges(startEdgeId);for(var i=0;i<allEdgeIds.length;i++){var edge=this.body.edges[allEdgeIds[i]];edge.setOptions(newOptions)}this.body.emitter.emit(\"_dataChanged\")}},{key:\"getClusteredEdges\",value:function getClusteredEdges(edgeId){var stack=[];var max=100;var counter=0;while(edgeId!==undefined&&this.body.edges[edgeId]!==undefined&&counter<max){stack.push(this.body.edges[edgeId].id);edgeId=this.body.edges[edgeId].edgeReplacedById;counter++}stack.reverse();return stack}},{key:\"getBaseEdge\",value:function getBaseEdge(clusteredEdgeId){return this.getBaseEdges(clusteredEdgeId)[0]}},{key:\"getBaseEdges\",value:function getBaseEdges(clusteredEdgeId){var IdsToHandle=[clusteredEdgeId];var doneIds=[];var foundIds=[];var max=100;var counter=0;while(IdsToHandle.length>0&&counter<max){var nextId=IdsToHandle.pop();if(nextId===undefined)continue;var nextEdge=this.body.edges[nextId];if(nextEdge===undefined)continue;counter++;var replacingIds=nextEdge.clusteringEdgeReplacingIds;if(replacingIds===undefined){foundIds.push(nextId)}else{for(var i=0;i<replacingIds.length;++i){var replacingId=replacingIds[i];if(IdsToHandle.indexOf(replacingIds)!==-1||doneIds.indexOf(replacingIds)!==-1){continue}IdsToHandle.push(replacingId)}}doneIds.push(nextId)}return foundIds}},{key:\"_getConnectedId\",value:function _getConnectedId(edge,nodeId){if(edge.toId!=nodeId){return edge.toId}else if(edge.fromId!=nodeId){return edge.fromId}else{return edge.fromId}}},{key:\"_getHubSize\",value:function _getHubSize(){var average=0;var averageSquared=0;var hubCounter=0;var largestHub=0;for(var i=0;i<this.body.nodeIndices.length;i++){var _node=this.body.nodes[this.body.nodeIndices[i]];if(_node.edges.length>largestHub){largestHub=_node.edges.length}average+=_node.edges.length;averageSquared+=Math.pow(_node.edges.length,2);hubCounter+=1}average=average/hubCounter;averageSquared=averageSquared/hubCounter;var variance=averageSquared-Math.pow(average,2);var standardDeviation=Math.sqrt(variance);var hubThreshold=Math.floor(average+2*standardDeviation);if(hubThreshold>largestHub){hubThreshold=largestHub}return hubThreshold}},{key:\"_createClusteredEdge\",value:function _createClusteredEdge(fromId,toId,baseEdge,clusterEdgeProperties,extraOptions){var clonedOptions=NetworkUtil.cloneOptions(baseEdge,\"edge\");util.deepExtend(clonedOptions,clusterEdgeProperties);clonedOptions.from=fromId;clonedOptions.to=toId;clonedOptions.id=\"clusterEdge:\"+util.randomUUID();if(extraOptions!==undefined){util.deepExtend(clonedOptions,extraOptions)}var newEdge=this.body.functions.createEdge(clonedOptions);newEdge.clusteringEdgeReplacingIds=[baseEdge.id];newEdge.connect();this.body.edges[newEdge.id]=newEdge;return newEdge}},{key:\"_clusterEdges\",value:function _clusterEdges(childNodes,childEdges,clusterNode,clusterEdgeProperties){if(childEdges instanceof Edge){var edge=childEdges;var obj={};obj[edge.id]=edge;childEdges=obj}if(childNodes instanceof Node){var _node2=childNodes;var _obj={};_obj[_node2.id]=_node2;childNodes=_obj}if(clusterNode===undefined||clusterNode===null){throw new Error(\"_clusterEdges: parameter clusterNode required\")}if(clusterEdgeProperties===undefined){clusterEdgeProperties=clusterNode.clusterEdgeProperties}this._createClusterEdges(childNodes,childEdges,clusterNode,clusterEdgeProperties);for(var edgeId in childEdges){if(childEdges.hasOwnProperty(edgeId)){if(this.body.edges[edgeId]!==undefined){var _edge2=this.body.edges[edgeId];this._backupEdgeOptions(_edge2);_edge2.setOptions({physics:false})}}}for(var _nodeId7 in childNodes){if(childNodes.hasOwnProperty(_nodeId7)){this.clusteredNodes[_nodeId7]={clusterId:clusterNode.id,node:this.body.nodes[_nodeId7]};this.body.nodes[_nodeId7].setOptions({physics:false})}}}},{key:\"_getClusterNodeForNode\",value:function _getClusterNodeForNode(nodeId){if(nodeId===undefined)return undefined;var clusteredNode=this.clusteredNodes[nodeId];if(clusteredNode===undefined)return undefined;var clusterId=clusteredNode.clusterId;if(clusterId===undefined)return undefined;return this.body.nodes[clusterId]}},{key:\"_filter\",value:function _filter(arr,callback){var ret=[];util.forEach(arr,function(item){if(callback(item)){ret.push(item)}});return ret}},{key:\"_updateState\",value:function _updateState(){var _this4=this;var nodeId=void 0;var deletedNodeIds=[];var deletedEdgeIds=[];var eachClusterNode=function eachClusterNode(callback){util.forEach(_this4.body.nodes,function(node){if(node.isCluster===true){callback(node)}})};for(nodeId in this.clusteredNodes){if(!this.clusteredNodes.hasOwnProperty(nodeId))continue;var _node3=this.body.nodes[nodeId];if(_node3===undefined){deletedNodeIds.push(nodeId)}}eachClusterNode(function(clusterNode){for(var n=0;n<deletedNodeIds.length;n++){delete clusterNode.containedNodes[deletedNodeIds[n]]}});for(var n=0;n<deletedNodeIds.length;n++){delete this.clusteredNodes[deletedNodeIds[n]]}util.forEach(this.clusteredEdges,function(edgeId){var edge=_this4.body.edges[edgeId];if(edge===undefined||!edge.endPointsValid()){deletedEdgeIds.push(edgeId)}});eachClusterNode(function(clusterNode){util.forEach(clusterNode.containedEdges,function(edge,edgeId){if(!edge.endPointsValid()&&deletedEdgeIds.indexOf(edgeId)===-1){deletedEdgeIds.push(edgeId)}})});util.forEach(this.body.edges,function(edge,edgeId){var isValid=true;var replacedIds=edge.clusteringEdgeReplacingIds;if(replacedIds!==undefined){var numValid=0;util.forEach(replacedIds,function(containedEdgeId){var containedEdge=_this4.body.edges[containedEdgeId];if(containedEdge!==undefined&&containedEdge.endPointsValid()){numValid+=1}});isValid=numValid>0}if(!edge.endPointsValid()||!isValid){deletedEdgeIds.push(edgeId)}});eachClusterNode(function(clusterNode){util.forEach(deletedEdgeIds,function(deletedEdgeId){delete clusterNode.containedEdges[deletedEdgeId];util.forEach(clusterNode.edges,function(edge,m){if(edge.id===deletedEdgeId){clusterNode.edges[m]=null;return}edge.clusteringEdgeReplacingIds=_this4._filter(edge.clusteringEdgeReplacingIds,function(id){return deletedEdgeIds.indexOf(id)===-1})});clusterNode.edges=_this4._filter(clusterNode.edges,function(item){return item!==null})})});util.forEach(deletedEdgeIds,function(edgeId){delete _this4.clusteredEdges[edgeId]});util.forEach(deletedEdgeIds,function(edgeId){delete _this4.body.edges[edgeId]});var ids=(0,_keys2[\"default\"])(this.body.edges);util.forEach(ids,function(edgeId){var edge=_this4.body.edges[edgeId];var shouldBeClustered=_this4._isClusteredNode(edge.fromId)||_this4._isClusteredNode(edge.toId);if(shouldBeClustered===_this4._isClusteredEdge(edge.id)){return}if(shouldBeClustered){var clusterFrom=_this4._getClusterNodeForNode(edge.fromId);if(clusterFrom!==undefined){_this4._clusterEdges(_this4.body.nodes[edge.fromId],edge,clusterFrom)}var clusterTo=_this4._getClusterNodeForNode(edge.toId);if(clusterTo!==undefined){_this4._clusterEdges(_this4.body.nodes[edge.toId],edge,clusterTo)}}else{throw new Error(\"remove edge from clustering not implemented!\")}});var changed=false;var continueLoop=true;var _loop2=function _loop2(){var clustersToOpen=[];eachClusterNode(function(clusterNode){var numNodes=(0,_keys2[\"default\"])(clusterNode.containedNodes).length;var allowSingle=clusterNode.options.allowSingleNodeCluster===true;if(allowSingle&&numNodes<1||!allowSingle&&numNodes<2){clustersToOpen.push(clusterNode.id)}});for(var _n=0;_n<clustersToOpen.length;++_n){_this4.openCluster(clustersToOpen[_n],{},false)}continueLoop=clustersToOpen.length>0;changed=changed||continueLoop};while(continueLoop){_loop2()}if(changed){this._updateState()}}},{key:\"_isClusteredNode\",value:function _isClusteredNode(nodeId){return this.clusteredNodes[nodeId]!==undefined}},{key:\"_isClusteredEdge\",value:function _isClusteredEdge(edgeId){return this.clusteredEdges[edgeId]!==undefined}}]);return ClusterEngine}();exports[\"default\"]=ClusterEngine},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Node=__webpack_require__(47)[\"default\"];var Cluster=function(_Node){(0,_inherits3[\"default\"])(Cluster,_Node);function Cluster(options,body,imagelist,grouplist,globalOptions,defaultOptions){(0,_classCallCheck3[\"default\"])(this,Cluster);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(Cluster.__proto__||(0,_getPrototypeOf2[\"default\"])(Cluster)).call(this,options,body,imagelist,grouplist,globalOptions,defaultOptions));_this.isCluster=true;_this.containedNodes={};_this.containedEdges={};return _this}(0,_createClass3[\"default\"])(Cluster,[{key:\"_openChildCluster\",value:function _openChildCluster(childClusterId){var _this2=this;var childCluster=this.body.nodes[childClusterId];if(this.containedNodes[childClusterId]===undefined){throw new Error(\"node with id: \"+childClusterId+\" not in current cluster\")}if(!childCluster.isCluster){throw new Error(\"node with id: \"+childClusterId+\" is not a cluster\")}delete this.containedNodes[childClusterId];util.forEach(childCluster.edges,function(edge){delete _this2.containedEdges[edge.id]});util.forEach(childCluster.containedNodes,function(node,nodeId){_this2.containedNodes[nodeId]=node});childCluster.containedNodes={};util.forEach(childCluster.containedEdges,function(edge,edgeId){_this2.containedEdges[edgeId]=edge});childCluster.containedEdges={};util.forEach(childCluster.edges,function(clusterEdge){util.forEach(_this2.edges,function(parentClusterEdge){var index=parentClusterEdge.clusteringEdgeReplacingIds.indexOf(clusterEdge.id);if(index===-1)return;util.forEach(clusterEdge.clusteringEdgeReplacingIds,function(srcId){parentClusterEdge.clusteringEdgeReplacingIds.push(srcId);_this2.body.edges[srcId].edgeReplacedById=parentClusterEdge.id});parentClusterEdge.clusteringEdgeReplacingIds.splice(index,1)})});childCluster.edges=[]}}]);return Cluster}(Node);exports[\"default\"]=Cluster},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}function _initRequestAnimationFrame(){var func;if(window!==undefined){func=window.requestAnimationFrame||window.mozRequestAnimationFrame||window.webkitRequestAnimationFrame||window.msRequestAnimationFrame}if(func===undefined){window.requestAnimationFrame=function(callback){callback()}}else{window.requestAnimationFrame=func}}var util=__webpack_require__(2);var CanvasRenderer=function(){function CanvasRenderer(body,canvas){(0,_classCallCheck3[\"default\"])(this,CanvasRenderer);_initRequestAnimationFrame();this.body=body;this.canvas=canvas;this.redrawRequested=false;this.renderTimer=undefined;this.requiresTimeout=true;this.renderingActive=false;this.renderRequests=0;this.allowRedraw=true;this.dragging=false;this.options={};this.defaultOptions={hideEdgesOnDrag:false,hideNodesOnDrag:false};util.extend(this.options,this.defaultOptions);this._determineBrowserMethod();this.bindEventListeners()}(0,_createClass3[\"default\"])(CanvasRenderer,[{key:\"bindEventListeners\",value:function bindEventListeners(){var _this=this;this.body.emitter.on(\"dragStart\",function(){_this.dragging=true});this.body.emitter.on(\"dragEnd\",function(){_this.dragging=false});this.body.emitter.on(\"_resizeNodes\",function(){_this._resizeNodes()});this.body.emitter.on(\"_redraw\",function(){if(_this.renderingActive===false){_this._redraw()}});this.body.emitter.on(\"_blockRedraw\",function(){_this.allowRedraw=false});this.body.emitter.on(\"_allowRedraw\",function(){_this.allowRedraw=true;_this.redrawRequested=false});this.body.emitter.on(\"_requestRedraw\",this._requestRedraw.bind(this));this.body.emitter.on(\"_startRendering\",function(){_this.renderRequests+=1;_this.renderingActive=true;_this._startRendering()});this.body.emitter.on(\"_stopRendering\",function(){_this.renderRequests-=1;_this.renderingActive=_this.renderRequests>0;_this.renderTimer=undefined});this.body.emitter.on(\"destroy\",function(){_this.renderRequests=0;_this.allowRedraw=false;_this.renderingActive=false;if(_this.requiresTimeout===true){clearTimeout(_this.renderTimer)}else{window.cancelAnimationFrame(_this.renderTimer)}_this.body.emitter.off()})}},{key:\"setOptions\",value:function setOptions(options){if(options!==undefined){var fields=[\"hideEdgesOnDrag\",\"hideNodesOnDrag\"];util.selectiveDeepExtend(fields,this.options,options)}}},{key:\"_requestNextFrame\",value:function _requestNextFrame(callback,delay){if(typeof window===\"undefined\")return;var timer=void 0;var myWindow=window;if(this.requiresTimeout===true){timer=myWindow.setTimeout(callback,delay)}else{if(myWindow.requestAnimationFrame){timer=myWindow.requestAnimationFrame(callback)}}return timer}},{key:\"_startRendering\",value:function _startRendering(){if(this.renderingActive===true){if(this.renderTimer===undefined){this.renderTimer=this._requestNextFrame(this._renderStep.bind(this),this.simulationInterval)}}}},{key:\"_renderStep\",value:function _renderStep(){if(this.renderingActive===true){this.renderTimer=undefined;if(this.requiresTimeout===true){this._startRendering()}this._redraw();if(this.requiresTimeout===false){this._startRendering()}}}},{key:\"redraw\",value:function redraw(){this.body.emitter.emit(\"setSize\");this._redraw()}},{key:\"_requestRedraw\",value:function _requestRedraw(){var _this2=this;if(this.redrawRequested!==true&&this.renderingActive===false&&this.allowRedraw===true){this.redrawRequested=true;this._requestNextFrame(function(){_this2._redraw(false)},0)}}},{key:\"_redraw\",value:function _redraw(){var hidden=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;if(this.allowRedraw===true){this.body.emitter.emit(\"initRedraw\");this.redrawRequested=false;if(this.canvas.frame.canvas.width===0||this.canvas.frame.canvas.height===0){this.canvas.setSize()}this.canvas.setTransform();var ctx=this.canvas.getContext();var w=this.canvas.frame.canvas.clientWidth;var h=this.canvas.frame.canvas.clientHeight;ctx.clearRect(0,0,w,h);if(this.canvas.frame.clientWidth===0){return}ctx.save();ctx.translate(this.body.view.translation.x,this.body.view.translation.y);ctx.scale(this.body.view.scale,this.body.view.scale);ctx.beginPath();this.body.emitter.emit(\"beforeDrawing\",ctx);ctx.closePath();if(hidden===false){if(this.dragging===false||this.dragging===true&&this.options.hideEdgesOnDrag===false){this._drawEdges(ctx)}}if(this.dragging===false||this.dragging===true&&this.options.hideNodesOnDrag===false){this._drawNodes(ctx,hidden)}ctx.beginPath();this.body.emitter.emit(\"afterDrawing\",ctx);ctx.closePath();ctx.restore();if(hidden===true){ctx.clearRect(0,0,w,h)}}}},{key:\"_resizeNodes\",value:function _resizeNodes(){this.canvas.setTransform();var ctx=this.canvas.getContext();ctx.save();ctx.translate(this.body.view.translation.x,this.body.view.translation.y);ctx.scale(this.body.view.scale,this.body.view.scale);var nodes=this.body.nodes;var node=void 0;for(var nodeId in nodes){if(nodes.hasOwnProperty(nodeId)){node=nodes[nodeId];node.resize(ctx);node.updateBoundingBox(ctx,node.selected)}}ctx.restore()}},{key:\"_drawNodes\",value:function _drawNodes(ctx){var alwaysShow=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var nodes=this.body.nodes;var nodeIndices=this.body.nodeIndices;var node=void 0;var selected=[];var margin=20;var topLeft=this.canvas.DOMtoCanvas({x:-margin,y:-margin});var bottomRight=this.canvas.DOMtoCanvas({x:this.canvas.frame.canvas.clientWidth+margin,y:this.canvas.frame.canvas.clientHeight+margin});var viewableArea={top:topLeft.y,left:topLeft.x,bottom:bottomRight.y,right:bottomRight.x};for(var i=0;i<nodeIndices.length;i++){node=nodes[nodeIndices[i]];if(node.isSelected()){selected.push(nodeIndices[i])}else{if(alwaysShow===true){node.draw(ctx)}else if(node.isBoundingBoxOverlappingWith(viewableArea)===true){node.draw(ctx)}else{node.updateBoundingBox(ctx,node.selected)}}}for(var _i=0;_i<selected.length;_i++){node=nodes[selected[_i]];node.draw(ctx)}}},{key:\"_drawEdges\",value:function _drawEdges(ctx){var edges=this.body.edges;var edgeIndices=this.body.edgeIndices;var edge=void 0;for(var i=0;i<edgeIndices.length;i++){edge=edges[edgeIndices[i]];if(edge.connected===true){edge.draw(ctx)}}}},{key:\"_determineBrowserMethod\",value:function _determineBrowserMethod(){if(typeof window!==\"undefined\"){var browserType=navigator.userAgent.toLowerCase();this.requiresTimeout=false;if(browserType.indexOf(\"msie 9.0\")!=-1){this.requiresTimeout=true}else if(browserType.indexOf(\"safari\")!=-1){if(browserType.indexOf(\"chrome\")<=-1){this.requiresTimeout=true}}}else{this.requiresTimeout=true}}}]);return CanvasRenderer}();exports[\"default\"]=CanvasRenderer},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Hammer=__webpack_require__(10);var hammerUtil=__webpack_require__(37);var util=__webpack_require__(2);var Canvas=function(){function Canvas(body){(0,_classCallCheck3[\"default\"])(this,Canvas);this.body=body;this.pixelRatio=1;this.resizeTimer=undefined;this.resizeFunction=this._onResize.bind(this);this.cameraState={};this.initialized=false;this.canvasViewCenter={};this.options={};this.defaultOptions={autoResize:true,height:\"100%\",width:\"100%\"};util.extend(this.options,this.defaultOptions);this.bindEventListeners()}(0,_createClass3[\"default\"])(Canvas,[{key:\"bindEventListeners\",value:function bindEventListeners(){var _this=this;this.body.emitter.once(\"resize\",function(obj){if(obj.width!==0){_this.body.view.translation.x=obj.width*.5}if(obj.height!==0){_this.body.view.translation.y=obj.height*.5}});this.body.emitter.on(\"setSize\",this.setSize.bind(this));this.body.emitter.on(\"destroy\",function(){_this.hammerFrame.destroy();_this.hammer.destroy();_this._cleanUp()})}},{key:\"setOptions\",value:function setOptions(options){var _this2=this;if(options!==undefined){var fields=[\"width\",\"height\",\"autoResize\"];util.selectiveDeepExtend(fields,this.options,options)}if(this.options.autoResize===true){this._cleanUp();this.resizeTimer=setInterval(function(){var changed=_this2.setSize();if(changed===true){_this2.body.emitter.emit(\"_requestRedraw\")}},1e3);this.resizeFunction=this._onResize.bind(this);util.addEventListener(window,\"resize\",this.resizeFunction)}}},{key:\"_cleanUp\",value:function _cleanUp(){if(this.resizeTimer!==undefined){clearInterval(this.resizeTimer)}util.removeEventListener(window,\"resize\",this.resizeFunction);this.resizeFunction=undefined}},{key:\"_onResize\",value:function _onResize(){this.setSize();this.body.emitter.emit(\"_redraw\")}},{key:\"_getCameraState\",value:function _getCameraState(){var pixelRatio=arguments.length>0&&arguments[0]!==undefined?arguments[0]:this.pixelRatio;if(this.initialized===true){this.cameraState.previousWidth=this.frame.canvas.width/pixelRatio;this.cameraState.previousHeight=this.frame.canvas.height/pixelRatio;this.cameraState.scale=this.body.view.scale;this.cameraState.position=this.DOMtoCanvas({x:.5*this.frame.canvas.width/pixelRatio,y:.5*this.frame.canvas.height/pixelRatio})}}},{key:\"_setCameraState\",value:function _setCameraState(){if(this.cameraState.scale!==undefined&&this.frame.canvas.clientWidth!==0&&this.frame.canvas.clientHeight!==0&&this.pixelRatio!==0&&this.cameraState.previousWidth>0){var widthRatio=this.frame.canvas.width/this.pixelRatio/this.cameraState.previousWidth;var heightRatio=this.frame.canvas.height/this.pixelRatio/this.cameraState.previousHeight;var newScale=this.cameraState.scale;if(widthRatio!=1&&heightRatio!=1){newScale=this.cameraState.scale*.5*(widthRatio+heightRatio)}else if(widthRatio!=1){newScale=this.cameraState.scale*widthRatio}else if(heightRatio!=1){newScale=this.cameraState.scale*heightRatio}this.body.view.scale=newScale;var currentViewCenter=this.DOMtoCanvas({x:.5*this.frame.canvas.clientWidth,y:.5*this.frame.canvas.clientHeight});var distanceFromCenter={x:currentViewCenter.x-this.cameraState.position.x,y:currentViewCenter.y-this.cameraState.position.y};this.body.view.translation.x+=distanceFromCenter.x*this.body.view.scale;this.body.view.translation.y+=distanceFromCenter.y*this.body.view.scale}}},{key:\"_prepareValue\",value:function _prepareValue(value){if(typeof value===\"number\"){return value+\"px\"}else if(typeof value===\"string\"){if(value.indexOf(\"%\")!==-1||value.indexOf(\"px\")!==-1){return value}else if(value.indexOf(\"%\")===-1){return value+\"px\"}}throw new Error(\"Could not use the value supplied for width or height:\"+value)}},{key:\"_create\",value:function _create(){while(this.body.container.hasChildNodes()){this.body.container.removeChild(this.body.container.firstChild)}this.frame=document.createElement(\"div\");this.frame.className=\"vis-network\";this.frame.style.position=\"relative\";this.frame.style.overflow=\"hidden\";this.frame.tabIndex=900;this.frame.canvas=document.createElement(\"canvas\");this.frame.canvas.style.position=\"relative\";this.frame.appendChild(this.frame.canvas);if(!this.frame.canvas.getContext){var noCanvas=document.createElement(\"DIV\");noCanvas.style.color=\"red\";noCanvas.style.fontWeight=\"bold\";noCanvas.style.padding=\"10px\";noCanvas.innerHTML=\"Error: your browser does not support HTML canvas\";this.frame.canvas.appendChild(noCanvas)}else{this._setPixelRatio();this.setTransform()}this.body.container.appendChild(this.frame);this.body.view.scale=1;this.body.view.translation={x:.5*this.frame.canvas.clientWidth,y:.5*this.frame.canvas.clientHeight};this._bindHammer()}},{key:\"_bindHammer\",value:function _bindHammer(){var _this3=this;if(this.hammer!==undefined){this.hammer.destroy()}this.drag={};this.pinch={};this.hammer=new Hammer(this.frame.canvas);this.hammer.get(\"pinch\").set({enable:true});this.hammer.get(\"pan\").set({threshold:5,direction:Hammer.DIRECTION_ALL});hammerUtil.onTouch(this.hammer,function(event){_this3.body.eventListeners.onTouch(event)});this.hammer.on(\"tap\",function(event){_this3.body.eventListeners.onTap(event)});this.hammer.on(\"doubletap\",function(event){_this3.body.eventListeners.onDoubleTap(event)});this.hammer.on(\"press\",function(event){_this3.body.eventListeners.onHold(event)});this.hammer.on(\"panstart\",function(event){_this3.body.eventListeners.onDragStart(event)});this.hammer.on(\"panmove\",function(event){_this3.body.eventListeners.onDrag(event)});this.hammer.on(\"panend\",function(event){_this3.body.eventListeners.onDragEnd(event)});this.hammer.on(\"pinch\",function(event){_this3.body.eventListeners.onPinch(event)});this.frame.canvas.addEventListener(\"mousewheel\",function(event){_this3.body.eventListeners.onMouseWheel(event)});this.frame.canvas.addEventListener(\"DOMMouseScroll\",function(event){_this3.body.eventListeners.onMouseWheel(event)});this.frame.canvas.addEventListener(\"mousemove\",function(event){_this3.body.eventListeners.onMouseMove(event)});this.frame.canvas.addEventListener(\"contextmenu\",function(event){_this3.body.eventListeners.onContext(event)});this.hammerFrame=new Hammer(this.frame);hammerUtil.onRelease(this.hammerFrame,function(event){_this3.body.eventListeners.onRelease(event)})}},{key:\"setSize\",value:function setSize(){var width=arguments.length>0&&arguments[0]!==undefined?arguments[0]:this.options.width;var height=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.options.height;width=this._prepareValue(width);height=this._prepareValue(height);var emitEvent=false;var oldWidth=this.frame.canvas.width;var oldHeight=this.frame.canvas.height;var previousRatio=this.pixelRatio;this._setPixelRatio();if(width!=this.options.width||height!=this.options.height||this.frame.style.width!=width||this.frame.style.height!=height){this._getCameraState(previousRatio);this.frame.style.width=width;this.frame.style.height=height;this.frame.canvas.style.width=\"100%\";this.frame.canvas.style.height=\"100%\";this.frame.canvas.width=Math.round(this.frame.canvas.clientWidth*this.pixelRatio);this.frame.canvas.height=Math.round(this.frame.canvas.clientHeight*this.pixelRatio);this.options.width=width;this.options.height=height;this.canvasViewCenter={x:.5*this.frame.clientWidth,y:.5*this.frame.clientHeight};emitEvent=true}else{var newWidth=Math.round(this.frame.canvas.clientWidth*this.pixelRatio);var newHeight=Math.round(this.frame.canvas.clientHeight*this.pixelRatio);if(this.frame.canvas.width!==newWidth||this.frame.canvas.height!==newHeight){this._getCameraState(previousRatio)}if(this.frame.canvas.width!==newWidth){this.frame.canvas.width=newWidth;emitEvent=true}if(this.frame.canvas.height!==newHeight){this.frame.canvas.height=newHeight;emitEvent=true}}if(emitEvent===true){this.body.emitter.emit(\"resize\",{width:Math.round(this.frame.canvas.width/this.pixelRatio),height:Math.round(this.frame.canvas.height/this.pixelRatio),oldWidth:Math.round(oldWidth/this.pixelRatio),oldHeight:Math.round(oldHeight/this.pixelRatio)});this._setCameraState()}this.initialized=true;return emitEvent}},{key:\"getContext\",value:function getContext(){return this.frame.canvas.getContext(\"2d\")}},{key:\"_determinePixelRatio\",value:function _determinePixelRatio(){var ctx=this.getContext();if(ctx===undefined){throw new Error(\"Could not get canvax context\")}var numerator=1;if(typeof window!==\"undefined\"){numerator=window.devicePixelRatio||1}var denominator=ctx.webkitBackingStorePixelRatio||ctx.mozBackingStorePixelRatio||ctx.msBackingStorePixelRatio||ctx.oBackingStorePixelRatio||ctx.backingStorePixelRatio||1;return numerator/denominator}},{key:\"_setPixelRatio\",value:function _setPixelRatio(){this.pixelRatio=this._determinePixelRatio()}},{key:\"setTransform\",value:function setTransform(){var ctx=this.getContext();if(ctx===undefined){throw new Error(\"Could not get canvax context\")}ctx.setTransform(this.pixelRatio,0,0,this.pixelRatio,0,0)}},{key:\"_XconvertDOMtoCanvas\",value:function _XconvertDOMtoCanvas(x){return(x-this.body.view.translation.x)/this.body.view.scale}},{\nkey:\"_XconvertCanvasToDOM\",value:function _XconvertCanvasToDOM(x){return x*this.body.view.scale+this.body.view.translation.x}},{key:\"_YconvertDOMtoCanvas\",value:function _YconvertDOMtoCanvas(y){return(y-this.body.view.translation.y)/this.body.view.scale}},{key:\"_YconvertCanvasToDOM\",value:function _YconvertCanvasToDOM(y){return y*this.body.view.scale+this.body.view.translation.y}},{key:\"canvasToDOM\",value:function canvasToDOM(pos){return{x:this._XconvertCanvasToDOM(pos.x),y:this._YconvertCanvasToDOM(pos.y)}}},{key:\"DOMtoCanvas\",value:function DOMtoCanvas(pos){return{x:this._XconvertDOMtoCanvas(pos.x),y:this._YconvertDOMtoCanvas(pos.y)}}}]);return Canvas}();exports[\"default\"]=Canvas},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var NetworkUtil=__webpack_require__(76)[\"default\"];var View=function(){function View(body,canvas){var _this=this;(0,_classCallCheck3[\"default\"])(this,View);this.body=body;this.canvas=canvas;this.animationSpeed=1/this.renderRefreshRate;this.animationEasingFunction=\"easeInOutQuint\";this.easingTime=0;this.sourceScale=0;this.targetScale=0;this.sourceTranslation=0;this.targetTranslation=0;this.lockedOnNodeId=undefined;this.lockedOnNodeOffset=undefined;this.touchTime=0;this.viewFunction=undefined;this.body.emitter.on(\"fit\",this.fit.bind(this));this.body.emitter.on(\"animationFinished\",function(){_this.body.emitter.emit(\"_stopRendering\")});this.body.emitter.on(\"unlockNode\",this.releaseNode.bind(this))}(0,_createClass3[\"default\"])(View,[{key:\"setOptions\",value:function setOptions(){var options=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{};this.options=options}},{key:\"fit\",value:function fit(){var options=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{nodes:[]};var initialZoom=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var range=void 0;var zoomLevel=void 0;if(options.nodes===undefined||options.nodes.length===0){options.nodes=this.body.nodeIndices}if(initialZoom===true){var positionDefined=0;for(var nodeId in this.body.nodes){if(this.body.nodes.hasOwnProperty(nodeId)){var node=this.body.nodes[nodeId];if(node.predefinedPosition===true){positionDefined+=1}}}if(positionDefined>.5*this.body.nodeIndices.length){this.fit(options,false);return}range=NetworkUtil.getRange(this.body.nodes,options.nodes);var numberOfNodes=this.body.nodeIndices.length;zoomLevel=12.662/(numberOfNodes+7.4147)+.0964822;var factor=Math.min(this.canvas.frame.canvas.clientWidth/600,this.canvas.frame.canvas.clientHeight/600);zoomLevel*=factor}else{this.body.emitter.emit(\"_resizeNodes\");range=NetworkUtil.getRange(this.body.nodes,options.nodes);var xDistance=Math.abs(range.maxX-range.minX)*1.1;var yDistance=Math.abs(range.maxY-range.minY)*1.1;var xZoomLevel=this.canvas.frame.canvas.clientWidth/xDistance;var yZoomLevel=this.canvas.frame.canvas.clientHeight/yDistance;zoomLevel=xZoomLevel<=yZoomLevel?xZoomLevel:yZoomLevel}if(zoomLevel>1){zoomLevel=1}else if(zoomLevel===0){zoomLevel=1}var center=NetworkUtil.findCenter(range);var animationOptions={position:center,scale:zoomLevel,animation:options.animation};this.moveTo(animationOptions)}},{key:\"focus\",value:function focus(nodeId){var options=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};if(this.body.nodes[nodeId]!==undefined){var nodePosition={x:this.body.nodes[nodeId].x,y:this.body.nodes[nodeId].y};options.position=nodePosition;options.lockedOnNode=nodeId;this.moveTo(options)}else{console.log(\"Node: \"+nodeId+\" cannot be found.\")}}},{key:\"moveTo\",value:function moveTo(options){if(options===undefined){options={};return}if(options.offset===undefined){options.offset={x:0,y:0}}if(options.offset.x===undefined){options.offset.x=0}if(options.offset.y===undefined){options.offset.y=0}if(options.scale===undefined){options.scale=this.body.view.scale}if(options.position===undefined){options.position=this.getViewPosition()}if(options.animation===undefined){options.animation={duration:0}}if(options.animation===false){options.animation={duration:0}}if(options.animation===true){options.animation={}}if(options.animation.duration===undefined){options.animation.duration=1e3}if(options.animation.easingFunction===undefined){options.animation.easingFunction=\"easeInOutQuad\"}this.animateView(options)}},{key:\"animateView\",value:function animateView(options){if(options===undefined){return}this.animationEasingFunction=options.animation.easingFunction;this.releaseNode();if(options.locked===true){this.lockedOnNodeId=options.lockedOnNode;this.lockedOnNodeOffset=options.offset}if(this.easingTime!=0){this._transitionRedraw(true)}this.sourceScale=this.body.view.scale;this.sourceTranslation=this.body.view.translation;this.targetScale=options.scale;this.body.view.scale=this.targetScale;var viewCenter=this.canvas.DOMtoCanvas({x:.5*this.canvas.frame.canvas.clientWidth,y:.5*this.canvas.frame.canvas.clientHeight});var distanceFromCenter={x:viewCenter.x-options.position.x,y:viewCenter.y-options.position.y};this.targetTranslation={x:this.sourceTranslation.x+distanceFromCenter.x*this.targetScale+options.offset.x,y:this.sourceTranslation.y+distanceFromCenter.y*this.targetScale+options.offset.y};if(options.animation.duration===0){if(this.lockedOnNodeId!=undefined){this.viewFunction=this._lockedRedraw.bind(this);this.body.emitter.on(\"initRedraw\",this.viewFunction)}else{this.body.view.scale=this.targetScale;this.body.view.translation=this.targetTranslation;this.body.emitter.emit(\"_requestRedraw\")}}else{this.animationSpeed=1/(60*options.animation.duration*.001)||1/60;this.animationEasingFunction=options.animation.easingFunction;this.viewFunction=this._transitionRedraw.bind(this);this.body.emitter.on(\"initRedraw\",this.viewFunction);this.body.emitter.emit(\"_startRendering\")}}},{key:\"_lockedRedraw\",value:function _lockedRedraw(){var nodePosition={x:this.body.nodes[this.lockedOnNodeId].x,y:this.body.nodes[this.lockedOnNodeId].y};var viewCenter=this.canvas.DOMtoCanvas({x:.5*this.canvas.frame.canvas.clientWidth,y:.5*this.canvas.frame.canvas.clientHeight});var distanceFromCenter={x:viewCenter.x-nodePosition.x,y:viewCenter.y-nodePosition.y};var sourceTranslation=this.body.view.translation;var targetTranslation={x:sourceTranslation.x+distanceFromCenter.x*this.body.view.scale+this.lockedOnNodeOffset.x,y:sourceTranslation.y+distanceFromCenter.y*this.body.view.scale+this.lockedOnNodeOffset.y};this.body.view.translation=targetTranslation}},{key:\"releaseNode\",value:function releaseNode(){if(this.lockedOnNodeId!==undefined&&this.viewFunction!==undefined){this.body.emitter.off(\"initRedraw\",this.viewFunction);this.lockedOnNodeId=undefined;this.lockedOnNodeOffset=undefined}}},{key:\"_transitionRedraw\",value:function _transitionRedraw(){var finished=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;this.easingTime+=this.animationSpeed;this.easingTime=finished===true?1:this.easingTime;var progress=util.easingFunctions[this.animationEasingFunction](this.easingTime);this.body.view.scale=this.sourceScale+(this.targetScale-this.sourceScale)*progress;this.body.view.translation={x:this.sourceTranslation.x+(this.targetTranslation.x-this.sourceTranslation.x)*progress,y:this.sourceTranslation.y+(this.targetTranslation.y-this.sourceTranslation.y)*progress};if(this.easingTime>=1){this.body.emitter.off(\"initRedraw\",this.viewFunction);this.easingTime=0;if(this.lockedOnNodeId!=undefined){this.viewFunction=this._lockedRedraw.bind(this);this.body.emitter.on(\"initRedraw\",this.viewFunction)}this.body.emitter.emit(\"animationFinished\")}}},{key:\"getScale\",value:function getScale(){return this.body.view.scale}},{key:\"getViewPosition\",value:function getViewPosition(){return this.canvas.DOMtoCanvas({x:.5*this.canvas.frame.canvas.clientWidth,y:.5*this.canvas.frame.canvas.clientHeight})}}]);return View}();exports[\"default\"]=View},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var NavigationHandler=__webpack_require__(233)[\"default\"];var Popup=__webpack_require__(104)[\"default\"];var InteractionHandler=function(){function InteractionHandler(body,canvas,selectionHandler){(0,_classCallCheck3[\"default\"])(this,InteractionHandler);this.body=body;this.canvas=canvas;this.selectionHandler=selectionHandler;this.navigationHandler=new NavigationHandler(body,canvas);this.body.eventListeners.onTap=this.onTap.bind(this);this.body.eventListeners.onTouch=this.onTouch.bind(this);this.body.eventListeners.onDoubleTap=this.onDoubleTap.bind(this);this.body.eventListeners.onHold=this.onHold.bind(this);this.body.eventListeners.onDragStart=this.onDragStart.bind(this);this.body.eventListeners.onDrag=this.onDrag.bind(this);this.body.eventListeners.onDragEnd=this.onDragEnd.bind(this);this.body.eventListeners.onMouseWheel=this.onMouseWheel.bind(this);this.body.eventListeners.onPinch=this.onPinch.bind(this);this.body.eventListeners.onMouseMove=this.onMouseMove.bind(this);this.body.eventListeners.onRelease=this.onRelease.bind(this);this.body.eventListeners.onContext=this.onContext.bind(this);this.touchTime=0;this.drag={};this.pinch={};this.popup=undefined;this.popupObj=undefined;this.popupTimer=undefined;this.body.functions.getPointer=this.getPointer.bind(this);this.options={};this.defaultOptions={dragNodes:true,dragView:true,hover:false,keyboard:{enabled:false,speed:{x:10,y:10,zoom:.02},bindToWindow:true},navigationButtons:false,tooltipDelay:300,zoomView:true};util.extend(this.options,this.defaultOptions);this.bindEventListeners()}(0,_createClass3[\"default\"])(InteractionHandler,[{key:\"bindEventListeners\",value:function bindEventListeners(){var _this=this;this.body.emitter.on(\"destroy\",function(){clearTimeout(_this.popupTimer);delete _this.body.functions.getPointer})}},{key:\"setOptions\",value:function setOptions(options){if(options!==undefined){var fields=[\"hideEdgesOnDrag\",\"hideNodesOnDrag\",\"keyboard\",\"multiselect\",\"selectable\",\"selectConnectedEdges\"];util.selectiveNotDeepExtend(fields,this.options,options);util.mergeOptions(this.options,options,\"keyboard\");if(options.tooltip){util.extend(this.options.tooltip,options.tooltip);if(options.tooltip.color){this.options.tooltip.color=util.parseColor(options.tooltip.color)}}}this.navigationHandler.setOptions(this.options)}},{key:\"getPointer\",value:function getPointer(touch){return{x:touch.x-util.getAbsoluteLeft(this.canvas.frame.canvas),y:touch.y-util.getAbsoluteTop(this.canvas.frame.canvas)}}},{key:\"onTouch\",value:function onTouch(event){if((new Date).valueOf()-this.touchTime>50){this.drag.pointer=this.getPointer(event.center);this.drag.pinched=false;this.pinch.scale=this.body.view.scale;this.touchTime=(new Date).valueOf()}}},{key:\"onTap\",value:function onTap(event){var pointer=this.getPointer(event.center);var multiselect=this.selectionHandler.options.multiselect&&(event.changedPointers[0].ctrlKey||event.changedPointers[0].metaKey);this.checkSelectionChanges(pointer,event,multiselect);this.selectionHandler._generateClickEvent(\"click\",event,pointer)}},{key:\"onDoubleTap\",value:function onDoubleTap(event){var pointer=this.getPointer(event.center);this.selectionHandler._generateClickEvent(\"doubleClick\",event,pointer)}},{key:\"onHold\",value:function onHold(event){var pointer=this.getPointer(event.center);var multiselect=this.selectionHandler.options.multiselect;this.checkSelectionChanges(pointer,event,multiselect);this.selectionHandler._generateClickEvent(\"click\",event,pointer);this.selectionHandler._generateClickEvent(\"hold\",event,pointer)}},{key:\"onRelease\",value:function onRelease(event){if((new Date).valueOf()-this.touchTime>10){var pointer=this.getPointer(event.center);this.selectionHandler._generateClickEvent(\"release\",event,pointer);this.touchTime=(new Date).valueOf()}}},{key:\"onContext\",value:function onContext(event){var pointer=this.getPointer({x:event.clientX,y:event.clientY});this.selectionHandler._generateClickEvent(\"oncontext\",event,pointer)}},{key:\"checkSelectionChanges\",value:function checkSelectionChanges(pointer,event){var add=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;var previousSelection=this.selectionHandler.getSelection();var selected=false;if(add===true){selected=this.selectionHandler.selectAdditionalOnPoint(pointer)}else{selected=this.selectionHandler.selectOnPoint(pointer)}var currentSelection=this.selectionHandler.getSelection();var deselectedItems=this._determineDifference(previousSelection,currentSelection);var selectedItems=this._determineDifference(currentSelection,previousSelection);if(deselectedItems.edges.length>0){this.selectionHandler._generateClickEvent(\"deselectEdge\",event,pointer,previousSelection);selected=true}if(deselectedItems.nodes.length>0){this.selectionHandler._generateClickEvent(\"deselectNode\",event,pointer,previousSelection);selected=true}if(selectedItems.nodes.length>0){this.selectionHandler._generateClickEvent(\"selectNode\",event,pointer);selected=true}if(selectedItems.edges.length>0){this.selectionHandler._generateClickEvent(\"selectEdge\",event,pointer);selected=true}if(selected===true){this.selectionHandler._generateClickEvent(\"select\",event,pointer)}}},{key:\"_determineDifference\",value:function _determineDifference(firstSet,secondSet){var arrayDiff=function arrayDiff(firstArr,secondArr){var result=[];for(var i=0;i<firstArr.length;i++){var value=firstArr[i];if(secondArr.indexOf(value)===-1){result.push(value)}}return result};return{nodes:arrayDiff(firstSet.nodes,secondSet.nodes),edges:arrayDiff(firstSet.edges,secondSet.edges)}}},{key:\"onDragStart\",value:function onDragStart(event){if(this.drag.pointer===undefined){this.onTouch(event)}var node=this.selectionHandler.getNodeAt(this.drag.pointer);this.drag.dragging=true;this.drag.selection=[];this.drag.translation=util.extend({},this.body.view.translation);this.drag.nodeId=undefined;if(node!==undefined&&this.options.dragNodes===true){this.drag.nodeId=node.id;if(node.isSelected()===false){this.selectionHandler.unselectAll();this.selectionHandler.selectObject(node)}this.selectionHandler._generateClickEvent(\"dragStart\",event,this.drag.pointer);var selection=this.selectionHandler.selectionObj.nodes;for(var nodeId in selection){if(selection.hasOwnProperty(nodeId)){var object=selection[nodeId];var s={id:object.id,node:object,x:object.x,y:object.y,xFixed:object.options.fixed.x,yFixed:object.options.fixed.y};object.options.fixed.x=true;object.options.fixed.y=true;this.drag.selection.push(s)}}}else{this.selectionHandler._generateClickEvent(\"dragStart\",event,this.drag.pointer,undefined,true)}}},{key:\"onDrag\",value:function onDrag(event){var _this2=this;if(this.drag.pinched===true){return}this.body.emitter.emit(\"unlockNode\");var pointer=this.getPointer(event.center);var selection=this.drag.selection;if(selection&&selection.length&&this.options.dragNodes===true){this.selectionHandler._generateClickEvent(\"dragging\",event,pointer);var deltaX=pointer.x-this.drag.pointer.x;var deltaY=pointer.y-this.drag.pointer.y;selection.forEach(function(selection){var node=selection.node;if(selection.xFixed===false){node.x=_this2.canvas._XconvertDOMtoCanvas(_this2.canvas._XconvertCanvasToDOM(selection.x)+deltaX)}if(selection.yFixed===false){node.y=_this2.canvas._YconvertDOMtoCanvas(_this2.canvas._YconvertCanvasToDOM(selection.y)+deltaY)}});this.body.emitter.emit(\"startSimulation\")}else{if(this.options.dragView===true){this.selectionHandler._generateClickEvent(\"dragging\",event,pointer,undefined,true);if(this.drag.pointer===undefined){this.onDragStart(event);return}var diffX=pointer.x-this.drag.pointer.x;var diffY=pointer.y-this.drag.pointer.y;this.body.view.translation={x:this.drag.translation.x+diffX,y:this.drag.translation.y+diffY};this.body.emitter.emit(\"_requestRedraw\")}}}},{key:\"onDragEnd\",value:function onDragEnd(event){this.drag.dragging=false;var selection=this.drag.selection;if(selection&&selection.length){selection.forEach(function(s){s.node.options.fixed.x=s.xFixed;s.node.options.fixed.y=s.yFixed});this.selectionHandler._generateClickEvent(\"dragEnd\",event,this.getPointer(event.center));this.body.emitter.emit(\"startSimulation\")}else{this.selectionHandler._generateClickEvent(\"dragEnd\",event,this.getPointer(event.center),undefined,true);this.body.emitter.emit(\"_requestRedraw\")}}},{key:\"onPinch\",value:function onPinch(event){var pointer=this.getPointer(event.center);this.drag.pinched=true;if(this.pinch[\"scale\"]===undefined){this.pinch.scale=1}var scale=this.pinch.scale*event.scale;this.zoom(scale,pointer)}},{key:\"zoom\",value:function zoom(scale,pointer){if(this.options.zoomView===true){var scaleOld=this.body.view.scale;if(scale<1e-5){scale=1e-5}if(scale>10){scale=10}var preScaleDragPointer=undefined;if(this.drag!==undefined){if(this.drag.dragging===true){preScaleDragPointer=this.canvas.DOMtoCanvas(this.drag.pointer)}}var translation=this.body.view.translation;var scaleFrac=scale/scaleOld;var tx=(1-scaleFrac)*pointer.x+translation.x*scaleFrac;var ty=(1-scaleFrac)*pointer.y+translation.y*scaleFrac;this.body.view.scale=scale;this.body.view.translation={x:tx,y:ty};if(preScaleDragPointer!=undefined){var postScaleDragPointer=this.canvas.canvasToDOM(preScaleDragPointer);this.drag.pointer.x=postScaleDragPointer.x;this.drag.pointer.y=postScaleDragPointer.y}this.body.emitter.emit(\"_requestRedraw\");if(scaleOld<scale){this.body.emitter.emit(\"zoom\",{direction:\"+\",scale:this.body.view.scale,pointer:pointer})}else{this.body.emitter.emit(\"zoom\",{direction:\"-\",scale:this.body.view.scale,pointer:pointer})}}}},{key:\"onMouseWheel\",value:function onMouseWheel(event){if(this.options.zoomView===true){var delta=0;if(event.wheelDelta){delta=event.wheelDelta/120}else if(event.detail){delta=-event.detail/3}if(delta!==0){var scale=this.body.view.scale;var zoom=delta/10;if(delta<0){zoom=zoom/(1-zoom)}scale*=1+zoom;var pointer=this.getPointer({x:event.clientX,y:event.clientY});this.zoom(scale,pointer)}event.preventDefault()}}},{key:\"onMouseMove\",value:function onMouseMove(event){var _this3=this;var pointer=this.getPointer({x:event.clientX,y:event.clientY});var popupVisible=false;if(this.popup!==undefined){if(this.popup.hidden===false){this._checkHidePopup(pointer)}if(this.popup.hidden===false){popupVisible=true;this.popup.setPosition(pointer.x+3,pointer.y-5);this.popup.show()}}if(this.options.keyboard.bindToWindow===false&&this.options.keyboard.enabled===true){this.canvas.frame.focus()}if(popupVisible===false){if(this.popupTimer!==undefined){clearInterval(this.popupTimer);this.popupTimer=undefined}if(!this.drag.dragging){this.popupTimer=setTimeout(function(){return _this3._checkShowPopup(pointer)},this.options.tooltipDelay)}}if(this.options.hover===true){this.selectionHandler.hoverObject(event,pointer)}}},{key:\"_checkShowPopup\",value:function _checkShowPopup(pointer){var x=this.canvas._XconvertDOMtoCanvas(pointer.x);var y=this.canvas._YconvertDOMtoCanvas(pointer.y);var pointerObj={left:x,top:y,right:x,bottom:y};var previousPopupObjId=this.popupObj===undefined?undefined:this.popupObj.id;var nodeUnderCursor=false;var popupType=\"node\";if(this.popupObj===undefined){var nodeIndices=this.body.nodeIndices;var nodes=this.body.nodes;var node=void 0;var overlappingNodes=[];for(var i=0;i<nodeIndices.length;i++){node=nodes[nodeIndices[i]];if(node.isOverlappingWith(pointerObj)===true){if(node.getTitle()!==undefined){overlappingNodes.push(nodeIndices[i])}}}if(overlappingNodes.length>0){this.popupObj=nodes[overlappingNodes[overlappingNodes.length-1]];nodeUnderCursor=true}}if(this.popupObj===undefined&&nodeUnderCursor===false){var edgeIndices=this.body.edgeIndices;var edges=this.body.edges;var edge=void 0;var overlappingEdges=[];for(var _i=0;_i<edgeIndices.length;_i++){edge=edges[edgeIndices[_i]];if(edge.isOverlappingWith(pointerObj)===true){if(edge.connected===true&&edge.getTitle()!==undefined){overlappingEdges.push(edgeIndices[_i])}}}if(overlappingEdges.length>0){this.popupObj=edges[overlappingEdges[overlappingEdges.length-1]];popupType=\"edge\"}}if(this.popupObj!==undefined){if(this.popupObj.id!==previousPopupObjId){if(this.popup===undefined){this.popup=new Popup(this.canvas.frame)}this.popup.popupTargetType=popupType;this.popup.popupTargetId=this.popupObj.id;this.popup.setPosition(pointer.x+3,pointer.y-5);this.popup.setText(this.popupObj.getTitle());this.popup.show();this.body.emitter.emit(\"showPopup\",this.popupObj.id)}}else{if(this.popup!==undefined){this.popup.hide();this.body.emitter.emit(\"hidePopup\")}}}},{key:\"_checkHidePopup\",value:function _checkHidePopup(pointer){var pointerObj=this.selectionHandler._pointerToPositionObject(pointer);var stillOnObj=false;if(this.popup.popupTargetType===\"node\"){if(this.body.nodes[this.popup.popupTargetId]!==undefined){stillOnObj=this.body.nodes[this.popup.popupTargetId].isOverlappingWith(pointerObj);if(stillOnObj===true){var overNode=this.selectionHandler.getNodeAt(pointer);stillOnObj=overNode===undefined?false:overNode.id===this.popup.popupTargetId}}}else{if(this.selectionHandler.getNodeAt(pointer)===undefined){if(this.body.edges[this.popup.popupTargetId]!==undefined){stillOnObj=this.body.edges[this.popup.popupTargetId].isOverlappingWith(pointerObj)}}}if(stillOnObj===false){this.popupObj=undefined;this.popup.hide();this.body.emitter.emit(\"hidePopup\")}}}]);return InteractionHandler}();exports[\"default\"]=InteractionHandler},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Hammer=__webpack_require__(10);var hammerUtil=__webpack_require__(37);var keycharm=__webpack_require__(35);var NavigationHandler=function(){function NavigationHandler(body,canvas){var _this=this;(0,_classCallCheck3[\"default\"])(this,NavigationHandler);this.body=body;this.canvas=canvas;this.iconsCreated=false;this.navigationHammers=[];this.boundFunctions={};this.touchTime=0;this.activated=false;this.body.emitter.on(\"activate\",function(){_this.activated=true;_this.configureKeyboardBindings()});this.body.emitter.on(\"deactivate\",function(){_this.activated=false;_this.configureKeyboardBindings()});this.body.emitter.on(\"destroy\",function(){if(_this.keycharm!==undefined){_this.keycharm.destroy()}});this.options={}}(0,_createClass3[\"default\"])(NavigationHandler,[{key:\"setOptions\",value:function setOptions(options){if(options!==undefined){this.options=options;this.create()}}},{key:\"create\",value:function create(){if(this.options.navigationButtons===true){if(this.iconsCreated===false){this.loadNavigationElements()}}else if(this.iconsCreated===true){this.cleanNavigation()}this.configureKeyboardBindings()}},{key:\"cleanNavigation\",value:function cleanNavigation(){if(this.navigationHammers.length!=0){for(var i=0;i<this.navigationHammers.length;i++){this.navigationHammers[i].destroy()}this.navigationHammers=[]}if(this.navigationDOM&&this.navigationDOM[\"wrapper\"]&&this.navigationDOM[\"wrapper\"].parentNode){this.navigationDOM[\"wrapper\"].parentNode.removeChild(this.navigationDOM[\"wrapper\"])}this.iconsCreated=false}},{key:\"loadNavigationElements\",value:function loadNavigationElements(){var _this2=this;this.cleanNavigation();this.navigationDOM={};var navigationDivs=[\"up\",\"down\",\"left\",\"right\",\"zoomIn\",\"zoomOut\",\"zoomExtends\"];var navigationDivActions=[\"_moveUp\",\"_moveDown\",\"_moveLeft\",\"_moveRight\",\"_zoomIn\",\"_zoomOut\",\"_fit\"];this.navigationDOM[\"wrapper\"]=document.createElement(\"div\");this.navigationDOM[\"wrapper\"].className=\"vis-navigation\";this.canvas.frame.appendChild(this.navigationDOM[\"wrapper\"]);for(var i=0;i<navigationDivs.length;i++){this.navigationDOM[navigationDivs[i]]=document.createElement(\"div\");this.navigationDOM[navigationDivs[i]].className=\"vis-button vis-\"+navigationDivs[i];this.navigationDOM[\"wrapper\"].appendChild(this.navigationDOM[navigationDivs[i]]);var hammer=new Hammer(this.navigationDOM[navigationDivs[i]]);if(navigationDivActions[i]===\"_fit\"){hammerUtil.onTouch(hammer,this._fit.bind(this))}else{hammerUtil.onTouch(hammer,this.bindToRedraw.bind(this,navigationDivActions[i]))}this.navigationHammers.push(hammer)}var hammerFrame=new Hammer(this.canvas.frame);hammerUtil.onRelease(hammerFrame,function(){_this2._stopMovement()});this.navigationHammers.push(hammerFrame);this.iconsCreated=true}},{key:\"bindToRedraw\",value:function bindToRedraw(action){if(this.boundFunctions[action]===undefined){this.boundFunctions[action]=this[action].bind(this);this.body.emitter.on(\"initRedraw\",this.boundFunctions[action]);this.body.emitter.emit(\"_startRendering\")}}},{key:\"unbindFromRedraw\",value:function unbindFromRedraw(action){if(this.boundFunctions[action]!==undefined){this.body.emitter.off(\"initRedraw\",this.boundFunctions[action]);this.body.emitter.emit(\"_stopRendering\");delete this.boundFunctions[action]}}},{key:\"_fit\",value:function _fit(){if((new Date).valueOf()-this.touchTime>700){this.body.emitter.emit(\"fit\",{duration:700});this.touchTime=(new Date).valueOf()}}},{key:\"_stopMovement\",value:function _stopMovement(){for(var boundAction in this.boundFunctions){if(this.boundFunctions.hasOwnProperty(boundAction)){this.body.emitter.off(\"initRedraw\",this.boundFunctions[boundAction]);this.body.emitter.emit(\"_stopRendering\")}}this.boundFunctions={}}},{key:\"_moveUp\",value:function _moveUp(){this.body.view.translation.y+=this.options.keyboard.speed.y}},{key:\"_moveDown\",value:function _moveDown(){this.body.view.translation.y-=this.options.keyboard.speed.y}},{key:\"_moveLeft\",value:function _moveLeft(){this.body.view.translation.x+=this.options.keyboard.speed.x}},{key:\"_moveRight\",value:function _moveRight(){this.body.view.translation.x-=this.options.keyboard.speed.x}},{key:\"_zoomIn\",value:function _zoomIn(){var scaleOld=this.body.view.scale;var scale=this.body.view.scale*(1+this.options.keyboard.speed.zoom);var translation=this.body.view.translation;var scaleFrac=scale/scaleOld;var tx=(1-scaleFrac)*this.canvas.canvasViewCenter.x+translation.x*scaleFrac;var ty=(1-scaleFrac)*this.canvas.canvasViewCenter.y+translation.y*scaleFrac;this.body.view.scale=scale;this.body.view.translation={x:tx,y:ty};this.body.emitter.emit(\"zoom\",{direction:\"+\",scale:this.body.view.scale,pointer:null})}},{key:\"_zoomOut\",value:function _zoomOut(){var scaleOld=this.body.view.scale;var scale=this.body.view.scale/(1+this.options.keyboard.speed.zoom);var translation=this.body.view.translation;var scaleFrac=scale/scaleOld;var tx=(1-scaleFrac)*this.canvas.canvasViewCenter.x+translation.x*scaleFrac;var ty=(1-scaleFrac)*this.canvas.canvasViewCenter.y+translation.y*scaleFrac;this.body.view.scale=scale;this.body.view.translation={x:tx,y:ty};this.body.emitter.emit(\"zoom\",{direction:\"-\",scale:this.body.view.scale,pointer:null})}},{key:\"configureKeyboardBindings\",value:function configureKeyboardBindings(){var _this3=this;if(this.keycharm!==undefined){this.keycharm.destroy()}if(this.options.keyboard.enabled===true){if(this.options.keyboard.bindToWindow===true){this.keycharm=keycharm({container:window,preventDefault:true})}else{this.keycharm=keycharm({container:this.canvas.frame,preventDefault:true})}this.keycharm.reset();if(this.activated===true){this.keycharm.bind(\"up\",function(){_this3.bindToRedraw(\"_moveUp\")},\"keydown\");this.keycharm.bind(\"down\",function(){_this3.bindToRedraw(\"_moveDown\")},\"keydown\");this.keycharm.bind(\"left\",function(){_this3.bindToRedraw(\"_moveLeft\")},\"keydown\");this.keycharm.bind(\"right\",function(){_this3.bindToRedraw(\"_moveRight\")},\"keydown\");this.keycharm.bind(\"=\",function(){_this3.bindToRedraw(\"_zoomIn\")},\"keydown\");this.keycharm.bind(\"num+\",function(){_this3.bindToRedraw(\"_zoomIn\")},\"keydown\");this.keycharm.bind(\"num-\",function(){_this3.bindToRedraw(\"_zoomOut\")},\"keydown\");this.keycharm.bind(\"-\",function(){_this3.bindToRedraw(\"_zoomOut\")},\"keydown\");this.keycharm.bind(\"[\",function(){_this3.bindToRedraw(\"_zoomOut\")},\"keydown\");this.keycharm.bind(\"]\",function(){_this3.bindToRedraw(\"_zoomIn\")},\"keydown\");this.keycharm.bind(\"pageup\",function(){_this3.bindToRedraw(\"_zoomIn\")},\"keydown\");this.keycharm.bind(\"pagedown\",function(){_this3.bindToRedraw(\"_zoomOut\")},\"keydown\");this.keycharm.bind(\"up\",function(){_this3.unbindFromRedraw(\"_moveUp\")},\"keyup\");this.keycharm.bind(\"down\",function(){_this3.unbindFromRedraw(\"_moveDown\")},\"keyup\");this.keycharm.bind(\"left\",function(){_this3.unbindFromRedraw(\"_moveLeft\")},\"keyup\");this.keycharm.bind(\"right\",function(){_this3.unbindFromRedraw(\"_moveRight\")},\"keyup\");this.keycharm.bind(\"=\",function(){_this3.unbindFromRedraw(\"_zoomIn\")},\"keyup\");this.keycharm.bind(\"num+\",function(){_this3.unbindFromRedraw(\"_zoomIn\")},\"keyup\");this.keycharm.bind(\"num-\",function(){_this3.unbindFromRedraw(\"_zoomOut\")},\"keyup\");this.keycharm.bind(\"-\",function(){_this3.unbindFromRedraw(\"_zoomOut\")},\"keyup\");this.keycharm.bind(\"[\",function(){_this3.unbindFromRedraw(\"_zoomOut\")},\"keyup\");this.keycharm.bind(\"]\",function(){_this3.unbindFromRedraw(\"_zoomIn\")},\"keyup\");this.keycharm.bind(\"pageup\",function(){_this3.unbindFromRedraw(\"_zoomIn\")},\"keyup\");this.keycharm.bind(\"pagedown\",function(){_this3.unbindFromRedraw(\"_zoomOut\")},\"keyup\")}}}}]);return NavigationHandler}();exports[\"default\"]=NavigationHandler},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var Node=__webpack_require__(47)[\"default\"];var Edge=__webpack_require__(74)[\"default\"];var util=__webpack_require__(2);var SelectionHandler=function(){function SelectionHandler(body,canvas){var _this=this;(0,_classCallCheck3[\"default\"])(this,SelectionHandler);this.body=body;this.canvas=canvas;this.selectionObj={nodes:[],edges:[]};this.hoverObj={nodes:{},edges:{}};this.options={};this.defaultOptions={multiselect:false,selectable:true,selectConnectedEdges:true,hoverConnectedEdges:true};util.extend(this.options,this.defaultOptions);this.body.emitter.on(\"_dataChanged\",function(){_this.updateSelection()})}(0,_createClass3[\"default\"])(SelectionHandler,[{key:\"setOptions\",value:function setOptions(options){if(options!==undefined){var fields=[\"multiselect\",\"hoverConnectedEdges\",\"selectable\",\"selectConnectedEdges\"];util.selectiveDeepExtend(fields,this.options,options)}}},{key:\"selectOnPoint\",value:function selectOnPoint(pointer){var selected=false;if(this.options.selectable===true){var obj=this.getNodeAt(pointer)||this.getEdgeAt(pointer);this.unselectAll();if(obj!==undefined){selected=this.selectObject(obj)}this.body.emitter.emit(\"_requestRedraw\")}return selected}},{key:\"selectAdditionalOnPoint\",value:function selectAdditionalOnPoint(pointer){var selectionChanged=false;if(this.options.selectable===true){var obj=this.getNodeAt(pointer)||this.getEdgeAt(pointer);if(obj!==undefined){selectionChanged=true;if(obj.isSelected()===true){this.deselectObject(obj)}else{this.selectObject(obj)}this.body.emitter.emit(\"_requestRedraw\")}}return selectionChanged}},{key:\"_initBaseEvent\",value:function _initBaseEvent(event,pointer){var properties={};properties[\"pointer\"]={DOM:{\nx:pointer.x,y:pointer.y},canvas:this.canvas.DOMtoCanvas(pointer)};properties[\"event\"]=event;return properties}},{key:\"_generateClickEvent\",value:function _generateClickEvent(eventType,event,pointer,oldSelection){var emptySelection=arguments.length>4&&arguments[4]!==undefined?arguments[4]:false;var properties=this._initBaseEvent(event,pointer);if(emptySelection===true){properties.nodes=[];properties.edges=[]}else{var tmp=this.getSelection();properties.nodes=tmp.nodes;properties.edges=tmp.edges}if(oldSelection!==undefined){properties[\"previousSelection\"]=oldSelection}if(eventType==\"click\"){properties.items=this.getClickedItems(pointer)}this.body.emitter.emit(eventType,properties)}},{key:\"selectObject\",value:function selectObject(obj){var highlightEdges=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.options.selectConnectedEdges;if(obj!==undefined){if(obj instanceof Node){if(highlightEdges===true){this._selectConnectedEdges(obj)}}obj.select();this._addToSelection(obj);return true}return false}},{key:\"deselectObject\",value:function deselectObject(obj){if(obj.isSelected()===true){obj.selected=false;this._removeFromSelection(obj)}}},{key:\"_getAllNodesOverlappingWith\",value:function _getAllNodesOverlappingWith(object){var overlappingNodes=[];var nodes=this.body.nodes;for(var i=0;i<this.body.nodeIndices.length;i++){var nodeId=this.body.nodeIndices[i];if(nodes[nodeId].isOverlappingWith(object)){overlappingNodes.push(nodeId)}}return overlappingNodes}},{key:\"_pointerToPositionObject\",value:function _pointerToPositionObject(pointer){var canvasPos=this.canvas.DOMtoCanvas(pointer);return{left:canvasPos.x-1,top:canvasPos.y+1,right:canvasPos.x+1,bottom:canvasPos.y-1}}},{key:\"getNodeAt\",value:function getNodeAt(pointer){var returnNode=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;var positionObject=this._pointerToPositionObject(pointer);var overlappingNodes=this._getAllNodesOverlappingWith(positionObject);if(overlappingNodes.length>0){if(returnNode===true){return this.body.nodes[overlappingNodes[overlappingNodes.length-1]]}else{return overlappingNodes[overlappingNodes.length-1]}}else{return undefined}}},{key:\"_getEdgesOverlappingWith\",value:function _getEdgesOverlappingWith(object,overlappingEdges){var edges=this.body.edges;for(var i=0;i<this.body.edgeIndices.length;i++){var edgeId=this.body.edgeIndices[i];if(edges[edgeId].isOverlappingWith(object)){overlappingEdges.push(edgeId)}}}},{key:\"_getAllEdgesOverlappingWith\",value:function _getAllEdgesOverlappingWith(object){var overlappingEdges=[];this._getEdgesOverlappingWith(object,overlappingEdges);return overlappingEdges}},{key:\"getEdgeAt\",value:function getEdgeAt(pointer){var returnEdge=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;var canvasPos=this.canvas.DOMtoCanvas(pointer);var mindist=10;var overlappingEdge=null;var edges=this.body.edges;for(var i=0;i<this.body.edgeIndices.length;i++){var edgeId=this.body.edgeIndices[i];var edge=edges[edgeId];if(edge.connected){var xFrom=edge.from.x;var yFrom=edge.from.y;var xTo=edge.to.x;var yTo=edge.to.y;var dist=edge.edgeType.getDistanceToEdge(xFrom,yFrom,xTo,yTo,canvasPos.x,canvasPos.y);if(dist<mindist){overlappingEdge=edgeId;mindist=dist}}}if(overlappingEdge!==null){if(returnEdge===true){return this.body.edges[overlappingEdge]}else{return overlappingEdge}}else{return undefined}}},{key:\"_addToSelection\",value:function _addToSelection(obj){if(obj instanceof Node){this.selectionObj.nodes[obj.id]=obj}else{this.selectionObj.edges[obj.id]=obj}}},{key:\"_addToHover\",value:function _addToHover(obj){if(obj instanceof Node){this.hoverObj.nodes[obj.id]=obj}else{this.hoverObj.edges[obj.id]=obj}}},{key:\"_removeFromSelection\",value:function _removeFromSelection(obj){if(obj instanceof Node){delete this.selectionObj.nodes[obj.id];this._unselectConnectedEdges(obj)}else{delete this.selectionObj.edges[obj.id]}}},{key:\"unselectAll\",value:function unselectAll(){for(var nodeId in this.selectionObj.nodes){if(this.selectionObj.nodes.hasOwnProperty(nodeId)){this.selectionObj.nodes[nodeId].unselect()}}for(var edgeId in this.selectionObj.edges){if(this.selectionObj.edges.hasOwnProperty(edgeId)){this.selectionObj.edges[edgeId].unselect()}}this.selectionObj={nodes:{},edges:{}}}},{key:\"_getSelectedNodeCount\",value:function _getSelectedNodeCount(){var count=0;for(var nodeId in this.selectionObj.nodes){if(this.selectionObj.nodes.hasOwnProperty(nodeId)){count+=1}}return count}},{key:\"_getSelectedNode\",value:function _getSelectedNode(){for(var nodeId in this.selectionObj.nodes){if(this.selectionObj.nodes.hasOwnProperty(nodeId)){return this.selectionObj.nodes[nodeId]}}return undefined}},{key:\"_getSelectedEdge\",value:function _getSelectedEdge(){for(var edgeId in this.selectionObj.edges){if(this.selectionObj.edges.hasOwnProperty(edgeId)){return this.selectionObj.edges[edgeId]}}return undefined}},{key:\"_getSelectedEdgeCount\",value:function _getSelectedEdgeCount(){var count=0;for(var edgeId in this.selectionObj.edges){if(this.selectionObj.edges.hasOwnProperty(edgeId)){count+=1}}return count}},{key:\"_getSelectedObjectCount\",value:function _getSelectedObjectCount(){var count=0;for(var nodeId in this.selectionObj.nodes){if(this.selectionObj.nodes.hasOwnProperty(nodeId)){count+=1}}for(var edgeId in this.selectionObj.edges){if(this.selectionObj.edges.hasOwnProperty(edgeId)){count+=1}}return count}},{key:\"_selectionIsEmpty\",value:function _selectionIsEmpty(){for(var nodeId in this.selectionObj.nodes){if(this.selectionObj.nodes.hasOwnProperty(nodeId)){return false}}for(var edgeId in this.selectionObj.edges){if(this.selectionObj.edges.hasOwnProperty(edgeId)){return false}}return true}},{key:\"_clusterInSelection\",value:function _clusterInSelection(){for(var nodeId in this.selectionObj.nodes){if(this.selectionObj.nodes.hasOwnProperty(nodeId)){if(this.selectionObj.nodes[nodeId].clusterSize>1){return true}}}return false}},{key:\"_selectConnectedEdges\",value:function _selectConnectedEdges(node){for(var i=0;i<node.edges.length;i++){var edge=node.edges[i];edge.select();this._addToSelection(edge)}}},{key:\"_hoverConnectedEdges\",value:function _hoverConnectedEdges(node){for(var i=0;i<node.edges.length;i++){var edge=node.edges[i];edge.hover=true;this._addToHover(edge)}}},{key:\"_unselectConnectedEdges\",value:function _unselectConnectedEdges(node){for(var i=0;i<node.edges.length;i++){var edge=node.edges[i];edge.unselect();this._removeFromSelection(edge)}}},{key:\"emitBlurEvent\",value:function emitBlurEvent(event,pointer,object){var properties=this._initBaseEvent(event,pointer);if(object.hover===true){object.hover=false;if(object instanceof Node){properties.node=object.id;this.body.emitter.emit(\"blurNode\",properties)}else{properties.edge=object.id;this.body.emitter.emit(\"blurEdge\",properties)}}}},{key:\"emitHoverEvent\",value:function emitHoverEvent(event,pointer,object){var properties=this._initBaseEvent(event,pointer);var hoverChanged=false;if(object.hover===false){object.hover=true;this._addToHover(object);hoverChanged=true;if(object instanceof Node){properties.node=object.id;this.body.emitter.emit(\"hoverNode\",properties)}else{properties.edge=object.id;this.body.emitter.emit(\"hoverEdge\",properties)}}return hoverChanged}},{key:\"hoverObject\",value:function hoverObject(event,pointer){var object=this.getNodeAt(pointer);if(object===undefined){object=this.getEdgeAt(pointer)}var hoverChanged=false;for(var nodeId in this.hoverObj.nodes){if(this.hoverObj.nodes.hasOwnProperty(nodeId)){if(object===undefined||object instanceof Node&&object.id!=nodeId||object instanceof Edge){this.emitBlurEvent(event,pointer,this.hoverObj.nodes[nodeId]);delete this.hoverObj.nodes[nodeId];hoverChanged=true}}}for(var edgeId in this.hoverObj.edges){if(this.hoverObj.edges.hasOwnProperty(edgeId)){if(hoverChanged===true){this.hoverObj.edges[edgeId].hover=false;delete this.hoverObj.edges[edgeId]}else if(object===undefined||object instanceof Edge&&object.id!=edgeId||object instanceof Node&&!object.hover){this.emitBlurEvent(event,pointer,this.hoverObj.edges[edgeId]);delete this.hoverObj.edges[edgeId];hoverChanged=true}}}if(object!==undefined){hoverChanged=hoverChanged||this.emitHoverEvent(event,pointer,object);if(object instanceof Node&&this.options.hoverConnectedEdges===true){this._hoverConnectedEdges(object)}}if(hoverChanged===true){this.body.emitter.emit(\"_requestRedraw\")}}},{key:\"getSelection\",value:function getSelection(){var nodeIds=this.getSelectedNodes();var edgeIds=this.getSelectedEdges();return{nodes:nodeIds,edges:edgeIds}}},{key:\"getSelectedNodes\",value:function getSelectedNodes(){var idArray=[];if(this.options.selectable===true){for(var nodeId in this.selectionObj.nodes){if(this.selectionObj.nodes.hasOwnProperty(nodeId)){idArray.push(this.selectionObj.nodes[nodeId].id)}}}return idArray}},{key:\"getSelectedEdges\",value:function getSelectedEdges(){var idArray=[];if(this.options.selectable===true){for(var edgeId in this.selectionObj.edges){if(this.selectionObj.edges.hasOwnProperty(edgeId)){idArray.push(this.selectionObj.edges[edgeId].id)}}}return idArray}},{key:\"setSelection\",value:function setSelection(selection){var options=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};var i=void 0,id=void 0;if(!selection||!selection.nodes&&!selection.edges)throw\"Selection must be an object with nodes and/or edges properties\";if(options.unselectAll||options.unselectAll===undefined){this.unselectAll()}if(selection.nodes){for(i=0;i<selection.nodes.length;i++){id=selection.nodes[i];var node=this.body.nodes[id];if(!node){throw new RangeError('Node with id \"'+id+'\" not found')}this.selectObject(node,options.highlightEdges)}}if(selection.edges){for(i=0;i<selection.edges.length;i++){id=selection.edges[i];var edge=this.body.edges[id];if(!edge){throw new RangeError('Edge with id \"'+id+'\" not found')}this.selectObject(edge)}}this.body.emitter.emit(\"_requestRedraw\")}},{key:\"selectNodes\",value:function selectNodes(selection){var highlightEdges=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;if(!selection||selection.length===undefined)throw\"Selection must be an array with ids\";this.setSelection({nodes:selection},{highlightEdges:highlightEdges})}},{key:\"selectEdges\",value:function selectEdges(selection){if(!selection||selection.length===undefined)throw\"Selection must be an array with ids\";this.setSelection({edges:selection})}},{key:\"updateSelection\",value:function updateSelection(){for(var nodeId in this.selectionObj.nodes){if(this.selectionObj.nodes.hasOwnProperty(nodeId)){if(!this.body.nodes.hasOwnProperty(nodeId)){delete this.selectionObj.nodes[nodeId]}}}for(var edgeId in this.selectionObj.edges){if(this.selectionObj.edges.hasOwnProperty(edgeId)){if(!this.body.edges.hasOwnProperty(edgeId)){delete this.selectionObj.edges[edgeId]}}}}},{key:\"getClickedItems\",value:function getClickedItems(pointer){var point=this.canvas.DOMtoCanvas(pointer);var items=[];var nodeIndices=this.body.nodeIndices;var nodes=this.body.nodes;for(var i=nodeIndices.length-1;i>=0;i--){var node=nodes[nodeIndices[i]];var ret=node.getItemsOnPoint(point);items.push.apply(items,ret)}var edgeIndices=this.body.edgeIndices;var edges=this.body.edges;for(var _i=edgeIndices.length-1;_i>=0;_i--){var edge=edges[edgeIndices[_i]];var _ret=edge.getItemsOnPoint(point);items.push.apply(items,_ret)}return items}}]);return SelectionHandler}();exports[\"default\"]=SelectionHandler},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _slicedToArray2=__webpack_require__(30);var _slicedToArray3=_interopRequireDefault(_slicedToArray2);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var NetworkUtil=__webpack_require__(76)[\"default\"];var _require=__webpack_require__(236),HorizontalStrategy=_require.HorizontalStrategy,VerticalStrategy=_require.VerticalStrategy;var HierarchicalStatus=function(){function HierarchicalStatus(){(0,_classCallCheck3[\"default\"])(this,HierarchicalStatus);this.childrenReference={};this.parentReference={};this.trees={};this.distributionOrdering={};this.levels={};this.distributionIndex={};this.isTree=false;this.treeIndex=-1}(0,_createClass3[\"default\"])(HierarchicalStatus,[{key:\"addRelation\",value:function addRelation(parentNodeId,childNodeId){if(this.childrenReference[parentNodeId]===undefined){this.childrenReference[parentNodeId]=[]}this.childrenReference[parentNodeId].push(childNodeId);if(this.parentReference[childNodeId]===undefined){this.parentReference[childNodeId]=[]}this.parentReference[childNodeId].push(parentNodeId)}},{key:\"checkIfTree\",value:function checkIfTree(){for(var i in this.parentReference){if(this.parentReference[i].length>1){this.isTree=false;return}}this.isTree=true}},{key:\"numTrees\",value:function numTrees(){return this.treeIndex+1}},{key:\"setTreeIndex\",value:function setTreeIndex(node,treeId){if(treeId===undefined)return;if(this.trees[node.id]===undefined){this.trees[node.id]=treeId;this.treeIndex=Math.max(treeId,this.treeIndex)}}},{key:\"ensureLevel\",value:function ensureLevel(nodeId){if(this.levels[nodeId]===undefined){this.levels[nodeId]=0}}},{key:\"getMaxLevel\",value:function getMaxLevel(nodeId){var _this=this;var accumulator={};var _getMaxLevel=function _getMaxLevel(nodeId){if(accumulator[nodeId]!==undefined){return accumulator[nodeId]}var level=_this.levels[nodeId];if(_this.childrenReference[nodeId]){var children=_this.childrenReference[nodeId];if(children.length>0){for(var i=0;i<children.length;i++){level=Math.max(level,_getMaxLevel(children[i]))}}}accumulator[nodeId]=level;return level};return _getMaxLevel(nodeId)}},{key:\"levelDownstream\",value:function levelDownstream(nodeA,nodeB){if(this.levels[nodeB.id]===undefined){if(this.levels[nodeA.id]===undefined){this.levels[nodeA.id]=0}this.levels[nodeB.id]=this.levels[nodeA.id]+1}}},{key:\"setMinLevelToZero\",value:function setMinLevelToZero(nodes){var minLevel=1e9;for(var nodeId in nodes){if(nodes.hasOwnProperty(nodeId)){if(this.levels[nodeId]!==undefined){minLevel=Math.min(this.levels[nodeId],minLevel)}}}for(var _nodeId in nodes){if(nodes.hasOwnProperty(_nodeId)){if(this.levels[_nodeId]!==undefined){this.levels[_nodeId]-=minLevel}}}}},{key:\"getTreeSize\",value:function getTreeSize(nodes,index){var min_x=1e9;var max_x=-1e9;var min_y=1e9;var max_y=-1e9;for(var nodeId in this.trees){if(this.trees.hasOwnProperty(nodeId)){if(this.trees[nodeId]===index){var node=nodes[nodeId];min_x=Math.min(node.x,min_x);max_x=Math.max(node.x,max_x);min_y=Math.min(node.y,min_y);max_y=Math.max(node.y,max_y)}}}return{min_x:min_x,max_x:max_x,min_y:min_y,max_y:max_y}}},{key:\"hasSameParent\",value:function hasSameParent(node1,node2){var parents1=this.parentReference[node1.id];var parents2=this.parentReference[node2.id];if(parents1===undefined||parents2===undefined){return false}for(var i=0;i<parents1.length;i++){for(var j=0;j<parents2.length;j++){if(parents1[i]==parents2[j]){return true}}}return false}},{key:\"inSameSubNetwork\",value:function inSameSubNetwork(node1,node2){return this.trees[node1.id]===this.trees[node2.id]}},{key:\"getLevels\",value:function getLevels(){return(0,_keys2[\"default\"])(this.distributionOrdering)}},{key:\"addToOrdering\",value:function addToOrdering(node,level){if(this.distributionOrdering[level]===undefined){this.distributionOrdering[level]=[]}var isPresent=false;var curLevel=this.distributionOrdering[level];for(var n in curLevel){if(curLevel[n]===node){isPresent=true;break}}if(!isPresent){this.distributionOrdering[level].push(node);this.distributionIndex[node.id]=this.distributionOrdering[level].length-1}}}]);return HierarchicalStatus}();var LayoutEngine=function(){function LayoutEngine(body){(0,_classCallCheck3[\"default\"])(this,LayoutEngine);this.body=body;this.initialRandomSeed=Math.round(Math.random()*1e6);this.randomSeed=this.initialRandomSeed;this.setPhysics=false;this.options={};this.optionsBackup={physics:{}};this.defaultOptions={randomSeed:undefined,improvedLayout:true,hierarchical:{enabled:false,levelSeparation:150,nodeSpacing:100,treeSpacing:200,blockShifting:true,edgeMinimization:true,parentCentralization:true,direction:\"UD\",sortMethod:\"hubsize\"}};util.extend(this.options,this.defaultOptions);this.bindEventListeners()}(0,_createClass3[\"default\"])(LayoutEngine,[{key:\"bindEventListeners\",value:function bindEventListeners(){var _this2=this;this.body.emitter.on(\"_dataChanged\",function(){_this2.setupHierarchicalLayout()});this.body.emitter.on(\"_dataLoaded\",function(){_this2.layoutNetwork()});this.body.emitter.on(\"_resetHierarchicalLayout\",function(){_this2.setupHierarchicalLayout()});this.body.emitter.on(\"_adjustEdgesForHierarchicalLayout\",function(){if(_this2.options.hierarchical.enabled!==true){return}var type=_this2.direction.curveType();_this2.body.emitter.emit(\"_forceDisableDynamicCurves\",type,false)})}},{key:\"setOptions\",value:function setOptions(options,allOptions){if(options!==undefined){var hierarchical=this.options.hierarchical;var prevHierarchicalState=hierarchical.enabled;util.selectiveDeepExtend([\"randomSeed\",\"improvedLayout\"],this.options,options);util.mergeOptions(this.options,options,\"hierarchical\");if(options.randomSeed!==undefined){this.initialRandomSeed=options.randomSeed}if(hierarchical.enabled===true){if(prevHierarchicalState===true){this.body.emitter.emit(\"refresh\",true)}if(hierarchical.direction===\"RL\"||hierarchical.direction===\"DU\"){if(hierarchical.levelSeparation>0){hierarchical.levelSeparation*=-1}}else{if(hierarchical.levelSeparation<0){hierarchical.levelSeparation*=-1}}this.setDirectionStrategy();this.body.emitter.emit(\"_resetHierarchicalLayout\");return this.adaptAllOptionsForHierarchicalLayout(allOptions)}else{if(prevHierarchicalState===true){this.body.emitter.emit(\"refresh\");return util.deepExtend(allOptions,this.optionsBackup)}}}return allOptions}},{key:\"adaptAllOptionsForHierarchicalLayout\",value:function adaptAllOptionsForHierarchicalLayout(allOptions){if(this.options.hierarchical.enabled===true){var backupPhysics=this.optionsBackup.physics;if(allOptions.physics===undefined||allOptions.physics===true){allOptions.physics={enabled:backupPhysics.enabled===undefined?true:backupPhysics.enabled,solver:\"hierarchicalRepulsion\"};backupPhysics.enabled=backupPhysics.enabled===undefined?true:backupPhysics.enabled;backupPhysics.solver=backupPhysics.solver||\"barnesHut\"}else if((0,_typeof3[\"default\"])(allOptions.physics)===\"object\"){backupPhysics.enabled=allOptions.physics.enabled===undefined?true:allOptions.physics.enabled;backupPhysics.solver=allOptions.physics.solver||\"barnesHut\";allOptions.physics.solver=\"hierarchicalRepulsion\"}else if(allOptions.physics!==false){backupPhysics.solver=\"barnesHut\";allOptions.physics={solver:\"hierarchicalRepulsion\"}}var type=this.direction.curveType();if(allOptions.edges===undefined){this.optionsBackup.edges={smooth:{enabled:true,type:\"dynamic\"}};allOptions.edges={smooth:false}}else if(allOptions.edges.smooth===undefined){this.optionsBackup.edges={smooth:{enabled:true,type:\"dynamic\"}};allOptions.edges.smooth=false}else{if(typeof allOptions.edges.smooth===\"boolean\"){this.optionsBackup.edges={smooth:allOptions.edges.smooth};allOptions.edges.smooth={enabled:allOptions.edges.smooth,type:type}}else{var smooth=allOptions.edges.smooth;if(smooth.type!==undefined&&smooth.type!==\"dynamic\"){type=smooth.type}this.optionsBackup.edges={smooth:smooth.enabled===undefined?true:smooth.enabled,type:smooth.type===undefined?\"dynamic\":smooth.type,roundness:smooth.roundness===undefined?.5:smooth.roundness,forceDirection:smooth.forceDirection===undefined?false:smooth.forceDirection};allOptions.edges.smooth={enabled:smooth.enabled===undefined?true:smooth.enabled,type:type,roundness:smooth.roundness===undefined?.5:smooth.roundness,forceDirection:smooth.forceDirection===undefined?false:smooth.forceDirection}}}this.body.emitter.emit(\"_forceDisableDynamicCurves\",type)}return allOptions}},{key:\"seededRandom\",value:function seededRandom(){var x=Math.sin(this.randomSeed++)*1e4;return x-Math.floor(x)}},{key:\"positionInitially\",value:function positionInitially(nodesArray){if(this.options.hierarchical.enabled!==true){this.randomSeed=this.initialRandomSeed;var radius=nodesArray.length+50;for(var i=0;i<nodesArray.length;i++){var node=nodesArray[i];var angle=2*Math.PI*this.seededRandom();if(node.x===undefined){node.x=radius*Math.cos(angle)}if(node.y===undefined){node.y=radius*Math.sin(angle)}}}}},{key:\"layoutNetwork\",value:function layoutNetwork(){if(this.options.hierarchical.enabled!==true&&this.options.improvedLayout===true){var indices=this.body.nodeIndices;var positionDefined=0;for(var i=0;i<indices.length;i++){var node=this.body.nodes[indices[i]];if(node.predefinedPosition===true){positionDefined+=1}}if(positionDefined<.5*indices.length){var MAX_LEVELS=10;var level=0;var clusterThreshold=150;var clusterOptions={clusterNodeProperties:{shape:\"ellipse\",label:\"\",group:\"\",font:{multi:false}},clusterEdgeProperties:{label:\"\",font:{multi:false},smooth:{enabled:false}}};if(indices.length>clusterThreshold){var startLength=indices.length;while(indices.length>clusterThreshold&&level<=MAX_LEVELS){level+=1;var before=indices.length;if(level%3===0){this.body.modules.clustering.clusterBridges(clusterOptions)}else{this.body.modules.clustering.clusterOutliers(clusterOptions)}var after=indices.length;if(before==after&&level%3!==0){this._declusterAll();this.body.emitter.emit(\"_layoutFailed\");console.info(\"This network could not be positioned by this version of the improved layout algorithm.\"+\" Please disable improvedLayout for better performance.\");return}}this.body.modules.kamadaKawai.setOptions({springLength:Math.max(150,2*startLength)})}if(level>MAX_LEVELS){console.info(\"The clustering didn't succeed within the amount of interations allowed,\"+\" progressing with partial result.\")}this.body.modules.kamadaKawai.solve(indices,this.body.edgeIndices,true);this._shiftToCenter();var offset=70;for(var _i=0;_i<indices.length;_i++){var _node=this.body.nodes[indices[_i]];if(_node.predefinedPosition===false){_node.x+=(.5-this.seededRandom())*offset;_node.y+=(.5-this.seededRandom())*offset}}this._declusterAll();this.body.emitter.emit(\"_repositionBezierNodes\")}}}},{key:\"_shiftToCenter\",value:function _shiftToCenter(){var range=NetworkUtil.getRangeCore(this.body.nodes,this.body.nodeIndices);var center=NetworkUtil.findCenter(range);for(var i=0;i<this.body.nodeIndices.length;i++){var node=this.body.nodes[this.body.nodeIndices[i]];node.x-=center.x;node.y-=center.y}}},{key:\"_declusterAll\",value:function _declusterAll(){var clustersPresent=true;while(clustersPresent===true){clustersPresent=false;for(var i=0;i<this.body.nodeIndices.length;i++){if(this.body.nodes[this.body.nodeIndices[i]].isCluster===true){clustersPresent=true;this.body.modules.clustering.openCluster(this.body.nodeIndices[i],{},false)}}if(clustersPresent===true){this.body.emitter.emit(\"_dataChanged\")}}}},{key:\"getSeed\",value:function getSeed(){return this.initialRandomSeed}},{key:\"setupHierarchicalLayout\",value:function setupHierarchicalLayout(){if(this.options.hierarchical.enabled===true&&this.body.nodeIndices.length>0){var node=void 0,nodeId=void 0;var definedLevel=false;var undefinedLevel=false;this.lastNodeOnLevel={};this.hierarchical=new HierarchicalStatus;for(nodeId in this.body.nodes){if(this.body.nodes.hasOwnProperty(nodeId)){node=this.body.nodes[nodeId];if(node.options.level!==undefined){definedLevel=true;this.hierarchical.levels[nodeId]=node.options.level}else{undefinedLevel=true}}}if(undefinedLevel===true&&definedLevel===true){throw new Error(\"To use the hierarchical layout, nodes require either no predefined levels\"+\" or levels have to be defined for all nodes.\")}else{if(undefinedLevel===true){var sortMethod=this.options.hierarchical.sortMethod;if(sortMethod===\"hubsize\"){this._determineLevelsByHubsize()}else if(sortMethod===\"directed\"){this._determineLevelsDirected()}else if(sortMethod===\"custom\"){this._determineLevelsCustomCallback()}}for(var _nodeId2 in this.body.nodes){if(this.body.nodes.hasOwnProperty(_nodeId2)){this.hierarchical.ensureLevel(_nodeId2)}}var distribution=this._getDistribution();this._generateMap();this._placeNodesByHierarchy(distribution);this._condenseHierarchy();this._shiftToCenter()}}}},{key:\"_condenseHierarchy\",value:function _condenseHierarchy(){var _this3=this;var stillShifting=false;var branches={};var shiftTrees=function shiftTrees(){var treeSizes=getTreeSizes();var shiftBy=0;for(var i=0;i<treeSizes.length-1;i++){var diff=treeSizes[i].max-treeSizes[i+1].min;shiftBy+=diff+_this3.options.hierarchical.treeSpacing;shiftTree(i+1,shiftBy)}};var shiftTree=function shiftTree(index,offset){var trees=_this3.hierarchical.trees;for(var nodeId in trees){if(trees.hasOwnProperty(nodeId)){if(trees[nodeId]===index){_this3.direction.shift(nodeId,offset)}}}};var getTreeSizes=function getTreeSizes(){var treeWidths=[];for(var i=0;i<_this3.hierarchical.numTrees();i++){treeWidths.push(_this3.direction.getTreeSize(i))}return treeWidths};var getBranchNodes=function getBranchNodes(source,map){if(map[source.id]){return}map[source.id]=true;if(_this3.hierarchical.childrenReference[source.id]){var children=_this3.hierarchical.childrenReference[source.id];if(children.length>0){for(var i=0;i<children.length;i++){getBranchNodes(_this3.body.nodes[children[i]],map)}}}};var getBranchBoundary=function getBranchBoundary(branchMap){var maxLevel=arguments.length>1&&arguments[1]!==undefined?arguments[1]:1e9;var minSpace=1e9;var maxSpace=1e9;var min=1e9;var max=-1e9;for(var branchNode in branchMap){if(branchMap.hasOwnProperty(branchNode)){var node=_this3.body.nodes[branchNode];var level=_this3.hierarchical.levels[node.id];var position=_this3.direction.getPosition(node);var _getSpaceAroundNode2=_this3._getSpaceAroundNode(node,branchMap),_getSpaceAroundNode3=(0,_slicedToArray3[\"default\"])(_getSpaceAroundNode2,2),minSpaceNode=_getSpaceAroundNode3[0],maxSpaceNode=_getSpaceAroundNode3[1];minSpace=Math.min(minSpaceNode,minSpace);maxSpace=Math.min(maxSpaceNode,maxSpace);if(level<=maxLevel){min=Math.min(position,min);max=Math.max(position,max)}}}return[min,max,minSpace,maxSpace]};var getCollisionLevel=function getCollisionLevel(node1,node2){var maxLevel1=_this3.hierarchical.getMaxLevel(node1.id);var maxLevel2=_this3.hierarchical.getMaxLevel(node2.id);return Math.min(maxLevel1,maxLevel2)};var shiftElementsCloser=function shiftElementsCloser(callback,levels,centerParents){var hier=_this3.hierarchical;for(var i=0;i<levels.length;i++){var level=levels[i];var levelNodes=hier.distributionOrdering[level];if(levelNodes.length>1){for(var j=0;j<levelNodes.length-1;j++){var node1=levelNodes[j];var node2=levelNodes[j+1];if(hier.hasSameParent(node1,node2)&&hier.inSameSubNetwork(node1,node2)){callback(node1,node2,centerParents)}}}}};var branchShiftCallback=function branchShiftCallback(node1,node2){var centerParent=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;var pos1=_this3.direction.getPosition(node1);var pos2=_this3.direction.getPosition(node2);var diffAbs=Math.abs(pos2-pos1);var nodeSpacing=_this3.options.hierarchical.nodeSpacing;if(diffAbs>nodeSpacing){var branchNodes1={};var branchNodes2={};getBranchNodes(node1,branchNodes1);getBranchNodes(node2,branchNodes2);var maxLevel=getCollisionLevel(node1,node2);var branchNodeBoundary1=getBranchBoundary(branchNodes1,maxLevel);var branchNodeBoundary2=getBranchBoundary(branchNodes2,maxLevel);var max1=branchNodeBoundary1[1];var min2=branchNodeBoundary2[0];var minSpace2=branchNodeBoundary2[2];var diffBranch=Math.abs(max1-min2);if(diffBranch>nodeSpacing){var offset=max1-min2+nodeSpacing;if(offset<-minSpace2+nodeSpacing){offset=-minSpace2+nodeSpacing}if(offset<0){_this3._shiftBlock(node2.id,offset);stillShifting=true;if(centerParent===true)_this3._centerParent(node2)}}}};var minimizeEdgeLength=function minimizeEdgeLength(iterations,node){var nodeId=node.id;var allEdges=node.edges;var nodeLevel=_this3.hierarchical.levels[node.id];var C2=_this3.options.hierarchical.levelSeparation*_this3.options.hierarchical.levelSeparation;var referenceNodes={};var aboveEdges=[];for(var i=0;i<allEdges.length;i++){var edge=allEdges[i];if(edge.toId!=edge.fromId){var otherNode=edge.toId==nodeId?edge.from:edge.to;referenceNodes[allEdges[i].id]=otherNode;if(_this3.hierarchical.levels[otherNode.id]<nodeLevel){aboveEdges.push(edge)}}}var getFx=function getFx(point,edges){var sum=0;for(var _i2=0;_i2<edges.length;_i2++){if(referenceNodes[edges[_i2].id]!==undefined){var a=_this3.direction.getPosition(referenceNodes[edges[_i2].id])-point;sum+=a/Math.sqrt(a*a+C2)}}return sum};var getDFx=function getDFx(point,edges){var sum=0;for(var _i3=0;_i3<edges.length;_i3++){if(referenceNodes[edges[_i3].id]!==undefined){var a=_this3.direction.getPosition(referenceNodes[edges[_i3].id])-point;sum-=C2*Math.pow(a*a+C2,-1.5)}}return sum};var getGuess=function getGuess(iterations,edges){var guess=_this3.direction.getPosition(node);var guessMap={};for(var _i4=0;_i4<iterations;_i4++){var fx=getFx(guess,edges);var dfx=getDFx(guess,edges);var limit=40;var ratio=Math.max(-limit,Math.min(limit,Math.round(fx/dfx)));guess=guess-ratio;if(guessMap[guess]!==undefined){break}guessMap[guess]=_i4}return guess};var moveBranch=function moveBranch(guess){var nodePosition=_this3.direction.getPosition(node);if(branches[node.id]===undefined){var branchNodes={};getBranchNodes(node,branchNodes);branches[node.id]=branchNodes}var branchBoundary=getBranchBoundary(branches[node.id]);var minSpaceBranch=branchBoundary[2];var maxSpaceBranch=branchBoundary[3];var diff=guess-nodePosition;var branchOffset=0;if(diff>0){branchOffset=Math.min(diff,maxSpaceBranch-_this3.options.hierarchical.nodeSpacing)}else if(diff<0){branchOffset=-Math.min(-diff,minSpaceBranch-_this3.options.hierarchical.nodeSpacing)}if(branchOffset!=0){_this3._shiftBlock(node.id,branchOffset);stillShifting=true}};var moveNode=function moveNode(guess){var nodePosition=_this3.direction.getPosition(node);var _getSpaceAroundNode4=_this3._getSpaceAroundNode(node),_getSpaceAroundNode5=(0,_slicedToArray3[\"default\"])(_getSpaceAroundNode4,2),minSpace=_getSpaceAroundNode5[0],maxSpace=_getSpaceAroundNode5[1];var diff=guess-nodePosition;var newPosition=nodePosition;if(diff>0){newPosition=Math.min(nodePosition+(maxSpace-_this3.options.hierarchical.nodeSpacing),guess)}else if(diff<0){newPosition=Math.max(nodePosition-(minSpace-_this3.options.hierarchical.nodeSpacing),guess)}if(newPosition!==nodePosition){_this3.direction.setPosition(node,newPosition);stillShifting=true}};var guess=getGuess(iterations,aboveEdges);moveBranch(guess);guess=getGuess(iterations,allEdges);moveNode(guess)};var minimizeEdgeLengthBottomUp=function minimizeEdgeLengthBottomUp(iterations){var levels=_this3.hierarchical.getLevels();levels=levels.reverse();for(var i=0;i<iterations;i++){stillShifting=false;for(var j=0;j<levels.length;j++){var level=levels[j];var levelNodes=_this3.hierarchical.distributionOrdering[level];for(var k=0;k<levelNodes.length;k++){minimizeEdgeLength(1e3,levelNodes[k])}}if(stillShifting!==true){break}}};var shiftBranchesCloserBottomUp=function shiftBranchesCloserBottomUp(iterations){var levels=_this3.hierarchical.getLevels();levels=levels.reverse();for(var i=0;i<iterations;i++){stillShifting=false;shiftElementsCloser(branchShiftCallback,levels,true);if(stillShifting!==true){break}}};var centerAllParents=function centerAllParents(){for(var nodeId in _this3.body.nodes){if(_this3.body.nodes.hasOwnProperty(nodeId))_this3._centerParent(_this3.body.nodes[nodeId])}};var centerAllParentsBottomUp=function centerAllParentsBottomUp(){var levels=_this3.hierarchical.getLevels()\n;levels=levels.reverse();for(var i=0;i<levels.length;i++){var level=levels[i];var levelNodes=_this3.hierarchical.distributionOrdering[level];for(var j=0;j<levelNodes.length;j++){_this3._centerParent(levelNodes[j])}}};if(this.options.hierarchical.blockShifting===true){shiftBranchesCloserBottomUp(5);centerAllParents()}if(this.options.hierarchical.edgeMinimization===true){minimizeEdgeLengthBottomUp(20)}if(this.options.hierarchical.parentCentralization===true){centerAllParentsBottomUp()}shiftTrees()}},{key:\"_getSpaceAroundNode\",value:function _getSpaceAroundNode(node,map){var useMap=true;if(map===undefined){useMap=false}var level=this.hierarchical.levels[node.id];if(level!==undefined){var index=this.hierarchical.distributionIndex[node.id];var position=this.direction.getPosition(node);var ordering=this.hierarchical.distributionOrdering[level];var minSpace=1e9;var maxSpace=1e9;if(index!==0){var prevNode=ordering[index-1];if(useMap===true&&map[prevNode.id]===undefined||useMap===false){var prevPos=this.direction.getPosition(prevNode);minSpace=position-prevPos}}if(index!=ordering.length-1){var nextNode=ordering[index+1];if(useMap===true&&map[nextNode.id]===undefined||useMap===false){var nextPos=this.direction.getPosition(nextNode);maxSpace=Math.min(maxSpace,nextPos-position)}}return[minSpace,maxSpace]}else{return[0,0]}}},{key:\"_centerParent\",value:function _centerParent(node){if(this.hierarchical.parentReference[node.id]){var parents=this.hierarchical.parentReference[node.id];for(var i=0;i<parents.length;i++){var parentId=parents[i];var parentNode=this.body.nodes[parentId];var children=this.hierarchical.childrenReference[parentId];if(children!==undefined){var newPosition=this._getCenterPosition(children);var position=this.direction.getPosition(parentNode);var _getSpaceAroundNode6=this._getSpaceAroundNode(parentNode),_getSpaceAroundNode7=(0,_slicedToArray3[\"default\"])(_getSpaceAroundNode6,2),minSpace=_getSpaceAroundNode7[0],maxSpace=_getSpaceAroundNode7[1];var diff=position-newPosition;if(diff<0&&Math.abs(diff)<maxSpace-this.options.hierarchical.nodeSpacing||diff>0&&Math.abs(diff)<minSpace-this.options.hierarchical.nodeSpacing){this.direction.setPosition(parentNode,newPosition)}}}}}},{key:\"_placeNodesByHierarchy\",value:function _placeNodesByHierarchy(distribution){this.positionedNodes={};for(var level in distribution){if(distribution.hasOwnProperty(level)){var nodeArray=(0,_keys2[\"default\"])(distribution[level]);nodeArray=this._indexArrayToNodes(nodeArray);this.direction.sort(nodeArray);var handledNodeCount=0;for(var i=0;i<nodeArray.length;i++){var node=nodeArray[i];if(this.positionedNodes[node.id]===undefined){var spacing=this.options.hierarchical.nodeSpacing;var pos=spacing*handledNodeCount;if(handledNodeCount>0){pos=this.direction.getPosition(nodeArray[i-1])+spacing}this.direction.setPosition(node,pos,level);this._validatePositionAndContinue(node,level,pos);handledNodeCount++}}}}}},{key:\"_placeBranchNodes\",value:function _placeBranchNodes(parentId,parentLevel){var childRef=this.hierarchical.childrenReference[parentId];if(childRef===undefined){return}var childNodes=[];for(var i=0;i<childRef.length;i++){childNodes.push(this.body.nodes[childRef[i]])}this.direction.sort(childNodes);for(var _i5=0;_i5<childNodes.length;_i5++){var childNode=childNodes[_i5];var childNodeLevel=this.hierarchical.levels[childNode.id];if(childNodeLevel>parentLevel&&this.positionedNodes[childNode.id]===undefined){var spacing=this.options.hierarchical.nodeSpacing;var pos=void 0;if(_i5===0){pos=this.direction.getPosition(this.body.nodes[parentId])}else{pos=this.direction.getPosition(childNodes[_i5-1])+spacing}this.direction.setPosition(childNode,pos,childNodeLevel);this._validatePositionAndContinue(childNode,childNodeLevel,pos)}else{return}}var center=this._getCenterPosition(childNodes);this.direction.setPosition(this.body.nodes[parentId],center,parentLevel)}},{key:\"_validatePositionAndContinue\",value:function _validatePositionAndContinue(node,level,pos){if(!this.hierarchical.isTree)return;if(this.lastNodeOnLevel[level]!==undefined){var previousPos=this.direction.getPosition(this.body.nodes[this.lastNodeOnLevel[level]]);if(pos-previousPos<this.options.hierarchical.nodeSpacing){var diff=previousPos+this.options.hierarchical.nodeSpacing-pos;var sharedParent=this._findCommonParent(this.lastNodeOnLevel[level],node.id);this._shiftBlock(sharedParent.withChild,diff)}}this.lastNodeOnLevel[level]=node.id;this.positionedNodes[node.id]=true;this._placeBranchNodes(node.id,level)}},{key:\"_indexArrayToNodes\",value:function _indexArrayToNodes(idArray){var array=[];for(var i=0;i<idArray.length;i++){array.push(this.body.nodes[idArray[i]])}return array}},{key:\"_getDistribution\",value:function _getDistribution(){var distribution={};var nodeId=void 0,node=void 0;for(nodeId in this.body.nodes){if(this.body.nodes.hasOwnProperty(nodeId)){node=this.body.nodes[nodeId];var level=this.hierarchical.levels[nodeId]===undefined?0:this.hierarchical.levels[nodeId];this.direction.fix(node,level);if(distribution[level]===undefined){distribution[level]={}}distribution[level][nodeId]=node}}return distribution}},{key:\"_getActiveEdges\",value:function _getActiveEdges(node){var _this4=this;var result=[];util.forEach(node.edges,function(edge){if(_this4.body.edgeIndices.indexOf(edge.id)!==-1){result.push(edge)}});return result}},{key:\"_getHubSizes\",value:function _getHubSizes(){var _this5=this;var hubSizes={};var nodeIds=this.body.nodeIndices;util.forEach(nodeIds,function(nodeId){var node=_this5.body.nodes[nodeId];var hubSize=_this5._getActiveEdges(node).length;hubSizes[hubSize]=true});var result=[];util.forEach(hubSizes,function(size){result.push(Number(size))});result.sort(function(a,b){return b-a});return result}},{key:\"_determineLevelsByHubsize\",value:function _determineLevelsByHubsize(){var _this6=this;var levelDownstream=function levelDownstream(nodeA,nodeB){_this6.hierarchical.levelDownstream(nodeA,nodeB)};var hubSizes=this._getHubSizes();var _loop=function _loop(i){var hubSize=hubSizes[i];if(hubSize===0)return\"break\";util.forEach(_this6.body.nodeIndices,function(nodeId){var node=_this6.body.nodes[nodeId];if(hubSize===_this6._getActiveEdges(node).length){_this6._crawlNetwork(levelDownstream,nodeId)}})};for(var i=0;i<hubSizes.length;++i){var _ret=_loop(i);if(_ret===\"break\")break}}},{key:\"_determineLevelsCustomCallback\",value:function _determineLevelsCustomCallback(){var _this7=this;var minLevel=1e5;var customCallback=function customCallback(nodeA,nodeB,edge){};var levelByDirection=function levelByDirection(nodeA,nodeB,edge){var levelA=_this7.hierarchical.levels[nodeA.id];if(levelA===undefined){levelA=_this7.hierarchical.levels[nodeA.id]=minLevel}var diff=customCallback(NetworkUtil.cloneOptions(nodeA,\"node\"),NetworkUtil.cloneOptions(nodeB,\"node\"),NetworkUtil.cloneOptions(edge,\"edge\"));_this7.hierarchical.levels[nodeB.id]=levelA+diff};this._crawlNetwork(levelByDirection);this.hierarchical.setMinLevelToZero(this.body.nodes)}},{key:\"_determineLevelsDirected\",value:function _determineLevelsDirected(){var _this8=this;var minLevel=1e4;var isBidirectional=function isBidirectional(edge){util.forEach(_this8.body.edges,function(otherEdge){if(otherEdge.toId===edge.fromId&&otherEdge.fromId===edge.toId){return true}});return false};var levelByDirection=function levelByDirection(nodeA,nodeB,edge){var levelA=_this8.hierarchical.levels[nodeA.id];var levelB=_this8.hierarchical.levels[nodeB.id];if(isBidirectional(edge)&&levelA!==undefined&&levelB!==undefined){return}if(levelA===undefined){levelA=_this8.hierarchical.levels[nodeA.id]=minLevel}if(edge.toId==nodeB.id){_this8.hierarchical.levels[nodeB.id]=levelA+1}else{_this8.hierarchical.levels[nodeB.id]=levelA-1}};this._crawlNetwork(levelByDirection);this.hierarchical.setMinLevelToZero(this.body.nodes)}},{key:\"_generateMap\",value:function _generateMap(){var _this9=this;var fillInRelations=function fillInRelations(parentNode,childNode){if(_this9.hierarchical.levels[childNode.id]>_this9.hierarchical.levels[parentNode.id]){_this9.hierarchical.addRelation(parentNode.id,childNode.id)}};this._crawlNetwork(fillInRelations);this.hierarchical.checkIfTree()}},{key:\"_crawlNetwork\",value:function _crawlNetwork(){var _this10=this;var callback=arguments.length>0&&arguments[0]!==undefined?arguments[0]:function(){};var startingNodeId=arguments[1];var progress={};var crawler=function crawler(node,tree){if(progress[node.id]===undefined){_this10.hierarchical.setTreeIndex(node,tree);progress[node.id]=true;var childNode=void 0;var edges=_this10._getActiveEdges(node);for(var i=0;i<edges.length;i++){var edge=edges[i];if(edge.connected===true){if(edge.toId==node.id){childNode=edge.from}else{childNode=edge.to}if(node.id!=childNode.id){callback(node,childNode,edge);crawler(childNode,tree)}}}}};if(startingNodeId===undefined){var treeIndex=0;for(var i=0;i<this.body.nodeIndices.length;i++){var nodeId=this.body.nodeIndices[i];if(progress[nodeId]===undefined){var node=this.body.nodes[nodeId];crawler(node,treeIndex);treeIndex+=1}}}else{var _node2=this.body.nodes[startingNodeId];if(_node2===undefined){console.error(\"Node not found:\",startingNodeId);return}crawler(_node2)}}},{key:\"_shiftBlock\",value:function _shiftBlock(parentId,diff){var _this11=this;var progress={};var shifter=function shifter(parentId){if(progress[parentId]){return}progress[parentId]=true;_this11.direction.shift(parentId,diff);var childRef=_this11.hierarchical.childrenReference[parentId];if(childRef!==undefined){for(var i=0;i<childRef.length;i++){shifter(childRef[i])}}};shifter(parentId)}},{key:\"_findCommonParent\",value:function _findCommonParent(childA,childB){var _this12=this;var parents={};var iterateParents=function iterateParents(parents,child){var parentRef=_this12.hierarchical.parentReference[child];if(parentRef!==undefined){for(var i=0;i<parentRef.length;i++){var parent=parentRef[i];parents[parent]=true;iterateParents(parents,parent)}}};var findParent=function findParent(parents,child){var parentRef=_this12.hierarchical.parentReference[child];if(parentRef!==undefined){for(var i=0;i<parentRef.length;i++){var parent=parentRef[i];if(parents[parent]!==undefined){return{foundParent:parent,withChild:child}}var branch=findParent(parents,parent);if(branch.foundParent!==null){return branch}}}return{foundParent:null,withChild:child}};iterateParents(parents,childA);return findParent(parents,childB)}},{key:\"setDirectionStrategy\",value:function setDirectionStrategy(){var isVertical=this.options.hierarchical.direction===\"UD\"||this.options.hierarchical.direction===\"DU\";if(isVertical){this.direction=new VerticalStrategy(this)}else{this.direction=new HorizontalStrategy(this)}}},{key:\"_getCenterPosition\",value:function _getCenterPosition(childNodes){var minPos=1e9;var maxPos=-1e9;for(var i=0;i<childNodes.length;i++){var childNode=void 0;if(childNodes[i].id!==undefined){childNode=childNodes[i]}else{var childNodeId=childNodes[i];childNode=this.body.nodes[childNodeId]}var position=this.direction.getPosition(childNode);minPos=Math.min(minPos,position);maxPos=Math.max(maxPos,position)}return.5*(minPos+maxPos)}}]);return LayoutEngine}();exports[\"default\"]=LayoutEngine},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});exports.VerticalStrategy=exports.HorizontalStrategy=undefined;var _getPrototypeOf=__webpack_require__(3);var _getPrototypeOf2=_interopRequireDefault(_getPrototypeOf);var _possibleConstructorReturn2=__webpack_require__(4);var _possibleConstructorReturn3=_interopRequireDefault(_possibleConstructorReturn2);var _inherits2=__webpack_require__(5);var _inherits3=_interopRequireDefault(_inherits2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var DirectionInterface=function(){function DirectionInterface(){(0,_classCallCheck3[\"default\"])(this,DirectionInterface)}(0,_createClass3[\"default\"])(DirectionInterface,[{key:\"abstract\",value:function abstract(){throw new Error(\"Can't instantiate abstract class!\")}},{key:\"fake_use\",value:function fake_use(){}},{key:\"curveType\",value:function curveType(){return this.abstract()}},{key:\"getPosition\",value:function getPosition(node){this.fake_use(node);return this.abstract()}},{key:\"setPosition\",value:function setPosition(node,position){var level=arguments.length>2&&arguments[2]!==undefined?arguments[2]:undefined;this.fake_use(node,position,level);this.abstract()}},{key:\"getTreeSize\",value:function getTreeSize(index){this.fake_use(index);return this.abstract()}},{key:\"sort\",value:function sort(nodeArray){this.fake_use(nodeArray);this.abstract()}},{key:\"fix\",value:function fix(node,level){this.fake_use(node,level);this.abstract()}},{key:\"shift\",value:function shift(nodeId,diff){this.fake_use(nodeId,diff);this.abstract()}}]);return DirectionInterface}();var VerticalStrategy=function(_DirectionInterface){(0,_inherits3[\"default\"])(VerticalStrategy,_DirectionInterface);function VerticalStrategy(layout){(0,_classCallCheck3[\"default\"])(this,VerticalStrategy);var _this=(0,_possibleConstructorReturn3[\"default\"])(this,(VerticalStrategy.__proto__||(0,_getPrototypeOf2[\"default\"])(VerticalStrategy)).call(this));_this.layout=layout;return _this}(0,_createClass3[\"default\"])(VerticalStrategy,[{key:\"curveType\",value:function curveType(){return\"horizontal\"}},{key:\"getPosition\",value:function getPosition(node){return node.x}},{key:\"setPosition\",value:function setPosition(node,position){var level=arguments.length>2&&arguments[2]!==undefined?arguments[2]:undefined;if(level!==undefined){this.layout.hierarchical.addToOrdering(node,level)}node.x=position}},{key:\"getTreeSize\",value:function getTreeSize(index){var res=this.layout.hierarchical.getTreeSize(this.layout.body.nodes,index);return{min:res.min_x,max:res.max_x}}},{key:\"sort\",value:function sort(nodeArray){nodeArray.sort(function(a,b){if(a.x===undefined||b.x===undefined)return 0;return a.x-b.x})}},{key:\"fix\",value:function fix(node,level){node.y=this.layout.options.hierarchical.levelSeparation*level;node.options.fixed.y=true}},{key:\"shift\",value:function shift(nodeId,diff){this.layout.body.nodes[nodeId].x+=diff}}]);return VerticalStrategy}(DirectionInterface);var HorizontalStrategy=function(_DirectionInterface2){(0,_inherits3[\"default\"])(HorizontalStrategy,_DirectionInterface2);function HorizontalStrategy(layout){(0,_classCallCheck3[\"default\"])(this,HorizontalStrategy);var _this2=(0,_possibleConstructorReturn3[\"default\"])(this,(HorizontalStrategy.__proto__||(0,_getPrototypeOf2[\"default\"])(HorizontalStrategy)).call(this));_this2.layout=layout;return _this2}(0,_createClass3[\"default\"])(HorizontalStrategy,[{key:\"curveType\",value:function curveType(){return\"vertical\"}},{key:\"getPosition\",value:function getPosition(node){return node.y}},{key:\"setPosition\",value:function setPosition(node,position){var level=arguments.length>2&&arguments[2]!==undefined?arguments[2]:undefined;if(level!==undefined){this.layout.hierarchical.addToOrdering(node,level)}node.y=position}},{key:\"getTreeSize\",value:function getTreeSize(index){var res=this.layout.hierarchical.getTreeSize(this.layout.body.nodes,index);return{min:res.min_y,max:res.max_y}}},{key:\"sort\",value:function sort(nodeArray){nodeArray.sort(function(a,b){if(a.y===undefined||b.y===undefined)return 0;return a.y-b.y})}},{key:\"fix\",value:function fix(node,level){node.x=this.layout.options.hierarchical.levelSeparation*level;node.options.fixed.x=true}},{key:\"shift\",value:function shift(nodeId,diff){this.layout.body.nodes[nodeId].y+=diff}}]);return HorizontalStrategy}(DirectionInterface);exports.HorizontalStrategy=HorizontalStrategy;exports.VerticalStrategy=VerticalStrategy},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _keys=__webpack_require__(8);var _keys2=_interopRequireDefault(_keys);var _stringify=__webpack_require__(19);var _stringify2=_interopRequireDefault(_stringify);var _typeof2=__webpack_require__(6);var _typeof3=_interopRequireDefault(_typeof2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var util=__webpack_require__(2);var Hammer=__webpack_require__(10);var hammerUtil=__webpack_require__(37);var ManipulationSystem=function(){function ManipulationSystem(body,canvas,selectionHandler){var _this=this;(0,_classCallCheck3[\"default\"])(this,ManipulationSystem);this.body=body;this.canvas=canvas;this.selectionHandler=selectionHandler;this.editMode=false;this.manipulationDiv=undefined;this.editModeDiv=undefined;this.closeDiv=undefined;this.manipulationHammers=[];this.temporaryUIFunctions={};this.temporaryEventFunctions=[];this.touchTime=0;this.temporaryIds={nodes:[],edges:[]};this.guiEnabled=false;this.inMode=false;this.selectedControlNode=undefined;this.options={};this.defaultOptions={enabled:false,initiallyActive:false,addNode:true,addEdge:true,editNode:undefined,editEdge:true,deleteNode:true,deleteEdge:true,controlNodeStyle:{shape:\"dot\",size:6,color:{background:\"#ff0000\",border:\"#3c3c3c\",highlight:{background:\"#07f968\",border:\"#3c3c3c\"}},borderWidth:2,borderWidthSelected:2}};util.extend(this.options,this.defaultOptions);this.body.emitter.on(\"destroy\",function(){_this._clean()});this.body.emitter.on(\"_dataChanged\",this._restore.bind(this));this.body.emitter.on(\"_resetData\",this._restore.bind(this))}(0,_createClass3[\"default\"])(ManipulationSystem,[{key:\"_restore\",value:function _restore(){if(this.inMode!==false){if(this.options.initiallyActive===true){this.enableEditMode()}else{this.disableEditMode()}}}},{key:\"setOptions\",value:function setOptions(options,allOptions,globalOptions){if(allOptions!==undefined){if(allOptions.locale!==undefined){this.options.locale=allOptions.locale}else{this.options.locale=globalOptions.locale}if(allOptions.locales!==undefined){this.options.locales=allOptions.locales}else{this.options.locales=globalOptions.locales}}if(options!==undefined){if(typeof options===\"boolean\"){this.options.enabled=options}else{this.options.enabled=true;util.deepExtend(this.options,options)}if(this.options.initiallyActive===true){this.editMode=true}this._setup()}}},{key:\"toggleEditMode\",value:function toggleEditMode(){if(this.editMode===true){this.disableEditMode()}else{this.enableEditMode()}}},{key:\"enableEditMode\",value:function enableEditMode(){this.editMode=true;this._clean();if(this.guiEnabled===true){this.manipulationDiv.style.display=\"block\";this.closeDiv.style.display=\"block\";this.editModeDiv.style.display=\"none\";this.showManipulatorToolbar()}}},{key:\"disableEditMode\",value:function disableEditMode(){this.editMode=false;this._clean();if(this.guiEnabled===true){this.manipulationDiv.style.display=\"none\";this.closeDiv.style.display=\"none\";this.editModeDiv.style.display=\"block\";this._createEditButton()}}},{key:\"showManipulatorToolbar\",value:function showManipulatorToolbar(){this._clean();this.manipulationDOM={};if(this.guiEnabled===true){this.editMode=true;this.manipulationDiv.style.display=\"block\";this.closeDiv.style.display=\"block\";var selectedNodeCount=this.selectionHandler._getSelectedNodeCount();var selectedEdgeCount=this.selectionHandler._getSelectedEdgeCount();var selectedTotalCount=selectedNodeCount+selectedEdgeCount;var locale=this.options.locales[this.options.locale];var needSeperator=false;if(this.options.addNode!==false){this._createAddNodeButton(locale);needSeperator=true}if(this.options.addEdge!==false){if(needSeperator===true){this._createSeperator(1)}else{needSeperator=true}this._createAddEdgeButton(locale)}if(selectedNodeCount===1&&typeof this.options.editNode===\"function\"){if(needSeperator===true){this._createSeperator(2)}else{needSeperator=true}this._createEditNodeButton(locale)}else if(selectedEdgeCount===1&&selectedNodeCount===0&&this.options.editEdge!==false){if(needSeperator===true){this._createSeperator(3)}else{needSeperator=true}this._createEditEdgeButton(locale)}if(selectedTotalCount!==0){if(selectedNodeCount>0&&this.options.deleteNode!==false){if(needSeperator===true){this._createSeperator(4)}this._createDeleteButton(locale)}else if(selectedNodeCount===0&&this.options.deleteEdge!==false){if(needSeperator===true){this._createSeperator(4)}this._createDeleteButton(locale)}}this._bindHammerToDiv(this.closeDiv,this.toggleEditMode.bind(this));this._temporaryBindEvent(\"select\",this.showManipulatorToolbar.bind(this))}this.body.emitter.emit(\"_redraw\")}},{key:\"addNodeMode\",value:function addNodeMode(){if(this.editMode!==true){this.enableEditMode()}this._clean();this.inMode=\"addNode\";if(this.guiEnabled===true){var locale=this.options.locales[this.options.locale];this.manipulationDOM={};this._createBackButton(locale);this._createSeperator();this._createDescription(locale[\"addDescription\"]||this.options.locales[\"en\"][\"addDescription\"]);this._bindHammerToDiv(this.closeDiv,this.toggleEditMode.bind(this))}this._temporaryBindEvent(\"click\",this._performAddNode.bind(this))}},{key:\"editNode\",value:function editNode(){var _this2=this;if(this.editMode!==true){this.enableEditMode()}this._clean();var node=this.selectionHandler._getSelectedNode();if(node!==undefined){this.inMode=\"editNode\";if(typeof this.options.editNode===\"function\"){if(node.isCluster!==true){var data=util.deepExtend({},node.options,false);data.x=node.x;data.y=node.y;if(this.options.editNode.length===2){this.options.editNode(data,function(finalizedData){if(finalizedData!==null&&finalizedData!==undefined&&_this2.inMode===\"editNode\"){_this2.body.data.nodes.getDataSet().update(finalizedData)}_this2.showManipulatorToolbar()})}else{throw new Error(\"The function for edit does not support two arguments (data, callback)\")}}else{alert(this.options.locales[this.options.locale][\"editClusterError\"]||this.options.locales[\"en\"][\"editClusterError\"])}}else{throw new Error(\"No function has been configured to handle the editing of nodes.\")}}else{this.showManipulatorToolbar()}}},{key:\"addEdgeMode\",value:function addEdgeMode(){if(this.editMode!==true){this.enableEditMode()}this._clean();this.inMode=\"addEdge\";if(this.guiEnabled===true){var locale=this.options.locales[this.options.locale];this.manipulationDOM={};this._createBackButton(locale);this._createSeperator();this._createDescription(locale[\"edgeDescription\"]||this.options.locales[\"en\"][\"edgeDescription\"]);this._bindHammerToDiv(this.closeDiv,this.toggleEditMode.bind(this))}this._temporaryBindUI(\"onTouch\",this._handleConnect.bind(this));this._temporaryBindUI(\"onDragEnd\",this._finishConnect.bind(this));this._temporaryBindUI(\"onDrag\",this._dragControlNode.bind(this));this._temporaryBindUI(\"onRelease\",this._finishConnect.bind(this));this._temporaryBindUI(\"onDragStart\",this._dragStartEdge.bind(this));this._temporaryBindUI(\"onHold\",function(){})}},{key:\"editEdgeMode\",value:function editEdgeMode(){if(this.editMode!==true){this.enableEditMode()}this._clean();this.inMode=\"editEdge\";if((0,_typeof3[\"default\"])(this.options.editEdge)===\"object\"&&typeof this.options.editEdge.editWithoutDrag===\"function\"){this.edgeBeingEditedId=this.selectionHandler.getSelectedEdges()[0];if(this.edgeBeingEditedId!==undefined){var edge=this.body.edges[this.edgeBeingEditedId];this._performEditEdge(edge.from,edge.to);return}}if(this.guiEnabled===true){var locale=this.options.locales[this.options.locale];this.manipulationDOM={};this._createBackButton(locale);this._createSeperator();this._createDescription(locale[\"editEdgeDescription\"]||this.options.locales[\"en\"][\"editEdgeDescription\"]);this._bindHammerToDiv(this.closeDiv,this.toggleEditMode.bind(this))}this.edgeBeingEditedId=this.selectionHandler.getSelectedEdges()[0];if(this.edgeBeingEditedId!==undefined){var _edge=this.body.edges[this.edgeBeingEditedId];var controlNodeFrom=this._getNewTargetNode(_edge.from.x,_edge.from.y);var controlNodeTo=this._getNewTargetNode(_edge.to.x,_edge.to.y);this.temporaryIds.nodes.push(controlNodeFrom.id);this.temporaryIds.nodes.push(controlNodeTo.id);this.body.nodes[controlNodeFrom.id]=controlNodeFrom;this.body.nodeIndices.push(controlNodeFrom.id);this.body.nodes[controlNodeTo.id]=controlNodeTo;this.body.nodeIndices.push(controlNodeTo.id);this._temporaryBindUI(\"onTouch\",this._controlNodeTouch.bind(this));this._temporaryBindUI(\"onTap\",function(){});this._temporaryBindUI(\"onHold\",function(){});this._temporaryBindUI(\"onDragStart\",this._controlNodeDragStart.bind(this));this._temporaryBindUI(\"onDrag\",this._controlNodeDrag.bind(this));this._temporaryBindUI(\"onDragEnd\",this._controlNodeDragEnd.bind(this));this._temporaryBindUI(\"onMouseMove\",function(){});this._temporaryBindEvent(\"beforeDrawing\",function(ctx){var positions=_edge.edgeType.findBorderPositions(ctx);if(controlNodeFrom.selected===false){controlNodeFrom.x=positions.from.x;controlNodeFrom.y=positions.from.y}if(controlNodeTo.selected===false){controlNodeTo.x=positions.to.x;controlNodeTo.y=positions.to.y}});this.body.emitter.emit(\"_redraw\")}else{this.showManipulatorToolbar()}}},{key:\"deleteSelected\",value:function deleteSelected(){var _this3=this;if(this.editMode!==true){this.enableEditMode()}this._clean();this.inMode=\"delete\";var selectedNodes=this.selectionHandler.getSelectedNodes();var selectedEdges=this.selectionHandler.getSelectedEdges();var deleteFunction=undefined;if(selectedNodes.length>0){for(var i=0;i<selectedNodes.length;i++){if(this.body.nodes[selectedNodes[i]].isCluster===true){alert(this.options.locales[this.options.locale][\"deleteClusterError\"]||this.options.locales[\"en\"][\"deleteClusterError\"]);return}}if(typeof this.options.deleteNode===\"function\"){deleteFunction=this.options.deleteNode}}else if(selectedEdges.length>0){if(typeof this.options.deleteEdge===\"function\"){deleteFunction=this.options.deleteEdge}}if(typeof deleteFunction===\"function\"){var data={nodes:selectedNodes,edges:selectedEdges};if(deleteFunction.length===2){deleteFunction(data,function(finalizedData){if(finalizedData!==null&&finalizedData!==undefined&&_this3.inMode===\"delete\"){_this3.body.data.edges.getDataSet().remove(finalizedData.edges);_this3.body.data.nodes.getDataSet().remove(finalizedData.nodes);_this3.body.emitter.emit(\"startSimulation\");_this3.showManipulatorToolbar()}else{_this3.body.emitter.emit(\"startSimulation\");_this3.showManipulatorToolbar()}})}else{throw new Error(\"The function for delete does not support two arguments (data, callback)\")}}else{this.body.data.edges.getDataSet().remove(selectedEdges);this.body.data.nodes.getDataSet().remove(selectedNodes);this.body.emitter.emit(\"startSimulation\");this.showManipulatorToolbar()}}},{key:\"_setup\",value:function _setup(){if(this.options.enabled===true){this.guiEnabled=true;this._createWrappers();if(this.editMode===false){this._createEditButton()}else{this.showManipulatorToolbar()}}else{this._removeManipulationDOM();this.guiEnabled=false}}},{key:\"_createWrappers\",value:function _createWrappers(){if(this.manipulationDiv===undefined){this.manipulationDiv=document.createElement(\"div\");this.manipulationDiv.className=\"vis-manipulation\";if(this.editMode===true){this.manipulationDiv.style.display=\"block\"}else{this.manipulationDiv.style.display=\"none\"}this.canvas.frame.appendChild(this.manipulationDiv)}if(this.editModeDiv===undefined){this.editModeDiv=document.createElement(\"div\");this.editModeDiv.className=\"vis-edit-mode\";if(this.editMode===true){this.editModeDiv.style.display=\"none\"}else{this.editModeDiv.style.display=\"block\"}this.canvas.frame.appendChild(this.editModeDiv)}if(this.closeDiv===undefined){this.closeDiv=document.createElement(\"div\");this.closeDiv.className=\"vis-close\";this.closeDiv.style.display=this.manipulationDiv.style.display;this.canvas.frame.appendChild(this.closeDiv)}}},{key:\"_getNewTargetNode\",value:function _getNewTargetNode(x,y){var controlNodeStyle=util.deepExtend({},this.options.controlNodeStyle);controlNodeStyle.id=\"targetNode\"+util.randomUUID();controlNodeStyle.hidden=false;controlNodeStyle.physics=false;controlNodeStyle.x=x;controlNodeStyle.y=y;var node=this.body.functions.createNode(controlNodeStyle);node.shape.boundingBox={left:x,right:x,top:y,bottom:y};return node}},{key:\"_createEditButton\",value:function _createEditButton(){this._clean();this.manipulationDOM={};util.recursiveDOMDelete(this.editModeDiv);var locale=this.options.locales[this.options.locale];var button=this._createButton(\"editMode\",\"vis-button vis-edit vis-edit-mode\",locale[\"edit\"]||this.options.locales[\"en\"][\"edit\"]);this.editModeDiv.appendChild(button);this._bindHammerToDiv(button,this.toggleEditMode.bind(this))}},{key:\"_clean\",value:function _clean(){this.inMode=false;if(this.guiEnabled===true){util.recursiveDOMDelete(this.editModeDiv);util.recursiveDOMDelete(this.manipulationDiv);this._cleanManipulatorHammers()}this._cleanupTemporaryNodesAndEdges();this._unbindTemporaryUIs();this._unbindTemporaryEvents();this.body.emitter.emit(\"restorePhysics\")}},{key:\"_cleanManipulatorHammers\",value:function _cleanManipulatorHammers(){if(this.manipulationHammers.length!=0){for(var i=0;i<this.manipulationHammers.length;i++){this.manipulationHammers[i].destroy()}this.manipulationHammers=[]}}},{key:\"_removeManipulationDOM\",value:function _removeManipulationDOM(){this._clean();util.recursiveDOMDelete(this.manipulationDiv);util.recursiveDOMDelete(this.editModeDiv);util.recursiveDOMDelete(this.closeDiv);if(this.manipulationDiv){this.canvas.frame.removeChild(this.manipulationDiv)}if(this.editModeDiv){this.canvas.frame.removeChild(this.editModeDiv)}if(this.closeDiv){this.canvas.frame.removeChild(this.closeDiv)}this.manipulationDiv=undefined;this.editModeDiv=undefined;this.closeDiv=undefined}},{key:\"_createSeperator\",value:function _createSeperator(){var index=arguments.length>0&&arguments[0]!==undefined?arguments[0]:1;this.manipulationDOM[\"seperatorLineDiv\"+index]=document.createElement(\"div\");this.manipulationDOM[\"seperatorLineDiv\"+index].className=\"vis-separator-line\";this.manipulationDiv.appendChild(this.manipulationDOM[\"seperatorLineDiv\"+index])}},{key:\"_createAddNodeButton\",value:function _createAddNodeButton(locale){var button=this._createButton(\"addNode\",\"vis-button vis-add\",locale[\"addNode\"]||this.options.locales[\"en\"][\"addNode\"]);this.manipulationDiv.appendChild(button);this._bindHammerToDiv(button,this.addNodeMode.bind(this))}},{key:\"_createAddEdgeButton\",value:function _createAddEdgeButton(locale){var button=this._createButton(\"addEdge\",\"vis-button vis-connect\",locale[\"addEdge\"]||this.options.locales[\"en\"][\"addEdge\"]);this.manipulationDiv.appendChild(button);this._bindHammerToDiv(button,this.addEdgeMode.bind(this))}},{key:\"_createEditNodeButton\",value:function _createEditNodeButton(locale){var button=this._createButton(\"editNode\",\"vis-button vis-edit\",locale[\"editNode\"]||this.options.locales[\"en\"][\"editNode\"]);this.manipulationDiv.appendChild(button);this._bindHammerToDiv(button,this.editNode.bind(this))}},{key:\"_createEditEdgeButton\",value:function _createEditEdgeButton(locale){var button=this._createButton(\"editEdge\",\"vis-button vis-edit\",locale[\"editEdge\"]||this.options.locales[\"en\"][\"editEdge\"]);this.manipulationDiv.appendChild(button);this._bindHammerToDiv(button,this.editEdgeMode.bind(this))}},{key:\"_createDeleteButton\",value:function _createDeleteButton(locale){var deleteBtnClass;if(this.options.rtl){deleteBtnClass=\"vis-button vis-delete-rtl\"}else{deleteBtnClass=\"vis-button vis-delete\"}var button=this._createButton(\"delete\",deleteBtnClass,locale[\"del\"]||this.options.locales[\"en\"][\"del\"]);this.manipulationDiv.appendChild(button);this._bindHammerToDiv(button,this.deleteSelected.bind(this))}},{key:\"_createBackButton\",value:function _createBackButton(locale){\nvar button=this._createButton(\"back\",\"vis-button vis-back\",locale[\"back\"]||this.options.locales[\"en\"][\"back\"]);this.manipulationDiv.appendChild(button);this._bindHammerToDiv(button,this.showManipulatorToolbar.bind(this))}},{key:\"_createButton\",value:function _createButton(id,className,label){var labelClassName=arguments.length>3&&arguments[3]!==undefined?arguments[3]:\"vis-label\";this.manipulationDOM[id+\"Div\"]=document.createElement(\"div\");this.manipulationDOM[id+\"Div\"].className=className;this.manipulationDOM[id+\"Label\"]=document.createElement(\"div\");this.manipulationDOM[id+\"Label\"].className=labelClassName;this.manipulationDOM[id+\"Label\"].innerHTML=label;this.manipulationDOM[id+\"Div\"].appendChild(this.manipulationDOM[id+\"Label\"]);return this.manipulationDOM[id+\"Div\"]}},{key:\"_createDescription\",value:function _createDescription(label){this.manipulationDiv.appendChild(this._createButton(\"description\",\"vis-button vis-none\",label))}},{key:\"_temporaryBindEvent\",value:function _temporaryBindEvent(event,newFunction){this.temporaryEventFunctions.push({event:event,boundFunction:newFunction});this.body.emitter.on(event,newFunction)}},{key:\"_temporaryBindUI\",value:function _temporaryBindUI(UIfunctionName,newFunction){if(this.body.eventListeners[UIfunctionName]!==undefined){this.temporaryUIFunctions[UIfunctionName]=this.body.eventListeners[UIfunctionName];this.body.eventListeners[UIfunctionName]=newFunction}else{throw new Error(\"This UI function does not exist. Typo? You tried: \"+UIfunctionName+\" possible are: \"+(0,_stringify2[\"default\"])((0,_keys2[\"default\"])(this.body.eventListeners)))}}},{key:\"_unbindTemporaryUIs\",value:function _unbindTemporaryUIs(){for(var functionName in this.temporaryUIFunctions){if(this.temporaryUIFunctions.hasOwnProperty(functionName)){this.body.eventListeners[functionName]=this.temporaryUIFunctions[functionName];delete this.temporaryUIFunctions[functionName]}}this.temporaryUIFunctions={}}},{key:\"_unbindTemporaryEvents\",value:function _unbindTemporaryEvents(){for(var i=0;i<this.temporaryEventFunctions.length;i++){var eventName=this.temporaryEventFunctions[i].event;var boundFunction=this.temporaryEventFunctions[i].boundFunction;this.body.emitter.off(eventName,boundFunction)}this.temporaryEventFunctions=[]}},{key:\"_bindHammerToDiv\",value:function _bindHammerToDiv(domElement,boundFunction){var hammer=new Hammer(domElement,{});hammerUtil.onTouch(hammer,boundFunction);this.manipulationHammers.push(hammer)}},{key:\"_cleanupTemporaryNodesAndEdges\",value:function _cleanupTemporaryNodesAndEdges(){for(var i=0;i<this.temporaryIds.edges.length;i++){this.body.edges[this.temporaryIds.edges[i]].disconnect();delete this.body.edges[this.temporaryIds.edges[i]];var indexTempEdge=this.body.edgeIndices.indexOf(this.temporaryIds.edges[i]);if(indexTempEdge!==-1){this.body.edgeIndices.splice(indexTempEdge,1)}}for(var _i=0;_i<this.temporaryIds.nodes.length;_i++){delete this.body.nodes[this.temporaryIds.nodes[_i]];var indexTempNode=this.body.nodeIndices.indexOf(this.temporaryIds.nodes[_i]);if(indexTempNode!==-1){this.body.nodeIndices.splice(indexTempNode,1)}}this.temporaryIds={nodes:[],edges:[]}}},{key:\"_controlNodeTouch\",value:function _controlNodeTouch(event){this.selectionHandler.unselectAll();this.lastTouch=this.body.functions.getPointer(event.center);this.lastTouch.translation=util.extend({},this.body.view.translation)}},{key:\"_controlNodeDragStart\",value:function _controlNodeDragStart(event){var pointer=this.lastTouch;var pointerObj=this.selectionHandler._pointerToPositionObject(pointer);var from=this.body.nodes[this.temporaryIds.nodes[0]];var to=this.body.nodes[this.temporaryIds.nodes[1]];var edge=this.body.edges[this.edgeBeingEditedId];this.selectedControlNode=undefined;var fromSelect=from.isOverlappingWith(pointerObj);var toSelect=to.isOverlappingWith(pointerObj);if(fromSelect===true){this.selectedControlNode=from;edge.edgeType.from=from}else if(toSelect===true){this.selectedControlNode=to;edge.edgeType.to=to}if(this.selectedControlNode!==undefined){this.selectionHandler.selectObject(this.selectedControlNode)}this.body.emitter.emit(\"_redraw\")}},{key:\"_controlNodeDrag\",value:function _controlNodeDrag(event){this.body.emitter.emit(\"disablePhysics\");var pointer=this.body.functions.getPointer(event.center);var pos=this.canvas.DOMtoCanvas(pointer);if(this.selectedControlNode!==undefined){this.selectedControlNode.x=pos.x;this.selectedControlNode.y=pos.y}else{var diffX=pointer.x-this.lastTouch.x;var diffY=pointer.y-this.lastTouch.y;this.body.view.translation={x:this.lastTouch.translation.x+diffX,y:this.lastTouch.translation.y+diffY}}this.body.emitter.emit(\"_redraw\")}},{key:\"_controlNodeDragEnd\",value:function _controlNodeDragEnd(event){var pointer=this.body.functions.getPointer(event.center);var pointerObj=this.selectionHandler._pointerToPositionObject(pointer);var edge=this.body.edges[this.edgeBeingEditedId];if(this.selectedControlNode===undefined){return}this.selectionHandler.unselectAll();var overlappingNodeIds=this.selectionHandler._getAllNodesOverlappingWith(pointerObj);var node=undefined;for(var i=overlappingNodeIds.length-1;i>=0;i--){if(overlappingNodeIds[i]!==this.selectedControlNode.id){node=this.body.nodes[overlappingNodeIds[i]];break}}if(node!==undefined&&this.selectedControlNode!==undefined){if(node.isCluster===true){alert(this.options.locales[this.options.locale][\"createEdgeError\"]||this.options.locales[\"en\"][\"createEdgeError\"])}else{var from=this.body.nodes[this.temporaryIds.nodes[0]];if(this.selectedControlNode.id===from.id){this._performEditEdge(node.id,edge.to.id)}else{this._performEditEdge(edge.from.id,node.id)}}}else{edge.updateEdgeType();this.body.emitter.emit(\"restorePhysics\")}this.body.emitter.emit(\"_redraw\")}},{key:\"_handleConnect\",value:function _handleConnect(event){if((new Date).valueOf()-this.touchTime>100){this.lastTouch=this.body.functions.getPointer(event.center);this.lastTouch.translation=util.extend({},this.body.view.translation);var pointer=this.lastTouch;var node=this.selectionHandler.getNodeAt(pointer);if(node!==undefined){if(node.isCluster===true){alert(this.options.locales[this.options.locale][\"createEdgeError\"]||this.options.locales[\"en\"][\"createEdgeError\"])}else{var targetNode=this._getNewTargetNode(node.x,node.y);this.body.nodes[targetNode.id]=targetNode;this.body.nodeIndices.push(targetNode.id);var connectionEdge=this.body.functions.createEdge({id:\"connectionEdge\"+util.randomUUID(),from:node.id,to:targetNode.id,physics:false,smooth:{enabled:true,type:\"continuous\",roundness:.5}});this.body.edges[connectionEdge.id]=connectionEdge;this.body.edgeIndices.push(connectionEdge.id);this.temporaryIds.nodes.push(targetNode.id);this.temporaryIds.edges.push(connectionEdge.id)}}this.touchTime=(new Date).valueOf()}}},{key:\"_dragControlNode\",value:function _dragControlNode(event){var pointer=this.body.functions.getPointer(event.center);if(this.temporaryIds.nodes[0]!==undefined){var targetNode=this.body.nodes[this.temporaryIds.nodes[0]];targetNode.x=this.canvas._XconvertDOMtoCanvas(pointer.x);targetNode.y=this.canvas._YconvertDOMtoCanvas(pointer.y);this.body.emitter.emit(\"_redraw\")}else{var diffX=pointer.x-this.lastTouch.x;var diffY=pointer.y-this.lastTouch.y;this.body.view.translation={x:this.lastTouch.translation.x+diffX,y:this.lastTouch.translation.y+diffY}}}},{key:\"_finishConnect\",value:function _finishConnect(event){var pointer=this.body.functions.getPointer(event.center);var pointerObj=this.selectionHandler._pointerToPositionObject(pointer);var connectFromId=undefined;if(this.temporaryIds.edges[0]!==undefined){connectFromId=this.body.edges[this.temporaryIds.edges[0]].fromId}var overlappingNodeIds=this.selectionHandler._getAllNodesOverlappingWith(pointerObj);var node=undefined;for(var i=overlappingNodeIds.length-1;i>=0;i--){if(this.temporaryIds.nodes.indexOf(overlappingNodeIds[i])===-1){node=this.body.nodes[overlappingNodeIds[i]];break}}this._cleanupTemporaryNodesAndEdges();if(node!==undefined){if(node.isCluster===true){alert(this.options.locales[this.options.locale][\"createEdgeError\"]||this.options.locales[\"en\"][\"createEdgeError\"])}else{if(this.body.nodes[connectFromId]!==undefined&&this.body.nodes[node.id]!==undefined){this._performAddEdge(connectFromId,node.id)}}}this.body.emitter.emit(\"_redraw\")}},{key:\"_dragStartEdge\",value:function _dragStartEdge(event){var pointer=this.lastTouch;this.selectionHandler._generateClickEvent(\"dragStart\",event,pointer,undefined,true)}},{key:\"_performAddNode\",value:function _performAddNode(clickData){var _this4=this;var defaultData={id:util.randomUUID(),x:clickData.pointer.canvas.x,y:clickData.pointer.canvas.y,label:\"new\"};if(typeof this.options.addNode===\"function\"){if(this.options.addNode.length===2){this.options.addNode(defaultData,function(finalizedData){if(finalizedData!==null&&finalizedData!==undefined&&_this4.inMode===\"addNode\"){_this4.body.data.nodes.getDataSet().add(finalizedData);_this4.showManipulatorToolbar()}})}else{this.showManipulatorToolbar();throw new Error(\"The function for add does not support two arguments (data,callback)\")}}else{this.body.data.nodes.getDataSet().add(defaultData);this.showManipulatorToolbar()}}},{key:\"_performAddEdge\",value:function _performAddEdge(sourceNodeId,targetNodeId){var _this5=this;var defaultData={from:sourceNodeId,to:targetNodeId};if(typeof this.options.addEdge===\"function\"){if(this.options.addEdge.length===2){this.options.addEdge(defaultData,function(finalizedData){if(finalizedData!==null&&finalizedData!==undefined&&_this5.inMode===\"addEdge\"){_this5.body.data.edges.getDataSet().add(finalizedData);_this5.selectionHandler.unselectAll();_this5.showManipulatorToolbar()}})}else{throw new Error(\"The function for connect does not support two arguments (data,callback)\")}}else{this.body.data.edges.getDataSet().add(defaultData);this.selectionHandler.unselectAll();this.showManipulatorToolbar()}}},{key:\"_performEditEdge\",value:function _performEditEdge(sourceNodeId,targetNodeId){var _this6=this;var defaultData={id:this.edgeBeingEditedId,from:sourceNodeId,to:targetNodeId,label:this.body.data.edges._data[this.edgeBeingEditedId].label};var eeFunct=this.options.editEdge;if((typeof eeFunct===\"undefined\"?\"undefined\":(0,_typeof3[\"default\"])(eeFunct))===\"object\"){eeFunct=eeFunct.editWithoutDrag}if(typeof eeFunct===\"function\"){if(eeFunct.length===2){eeFunct(defaultData,function(finalizedData){if(finalizedData===null||finalizedData===undefined||_this6.inMode!==\"editEdge\"){_this6.body.edges[defaultData.id].updateEdgeType();_this6.body.emitter.emit(\"_redraw\");_this6.showManipulatorToolbar()}else{_this6.body.data.edges.getDataSet().update(finalizedData);_this6.selectionHandler.unselectAll();_this6.showManipulatorToolbar()}})}else{throw new Error(\"The function for edit does not support two arguments (data, callback)\")}}else{this.body.data.edges.getDataSet().update(defaultData);this.selectionHandler.unselectAll();this.showManipulatorToolbar()}}}]);return ManipulationSystem}();exports[\"default\"]=ManipulationSystem},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _slicedToArray2=__webpack_require__(30);var _slicedToArray3=_interopRequireDefault(_slicedToArray2);var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);var _FloydWarshall=__webpack_require__(239);var _FloydWarshall2=_interopRequireDefault(_FloydWarshall);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var KamadaKawai=function(){function KamadaKawai(body,edgeLength,edgeStrength){(0,_classCallCheck3[\"default\"])(this,KamadaKawai);this.body=body;this.springLength=edgeLength;this.springConstant=edgeStrength;this.distanceSolver=new _FloydWarshall2[\"default\"]}(0,_createClass3[\"default\"])(KamadaKawai,[{key:\"setOptions\",value:function setOptions(options){if(options){if(options.springLength){this.springLength=options.springLength}if(options.springConstant){this.springConstant=options.springConstant}}}},{key:\"solve\",value:function solve(nodesArray,edgesArray){var ignoreClusters=arguments.length>2&&arguments[2]!==undefined?arguments[2]:false;var D_matrix=this.distanceSolver.getDistances(this.body,nodesArray,edgesArray);this._createL_matrix(D_matrix);this._createK_matrix(D_matrix);this._createE_matrix();var threshold=.01;var innerThreshold=1;var iterations=0;var maxIterations=Math.max(1e3,Math.min(10*this.body.nodeIndices.length,6e3));var maxInnerIterations=5;var maxEnergy=1e9;var highE_nodeId=0,dE_dx=0,dE_dy=0,delta_m=0,subIterations=0;while(maxEnergy>threshold&&iterations<maxIterations){iterations+=1;var _getHighestEnergyNode2=this._getHighestEnergyNode(ignoreClusters);var _getHighestEnergyNode3=(0,_slicedToArray3[\"default\"])(_getHighestEnergyNode2,4);highE_nodeId=_getHighestEnergyNode3[0];maxEnergy=_getHighestEnergyNode3[1];dE_dx=_getHighestEnergyNode3[2];dE_dy=_getHighestEnergyNode3[3];delta_m=maxEnergy;subIterations=0;while(delta_m>innerThreshold&&subIterations<maxInnerIterations){subIterations+=1;this._moveNode(highE_nodeId,dE_dx,dE_dy);var _getEnergy2=this._getEnergy(highE_nodeId);var _getEnergy3=(0,_slicedToArray3[\"default\"])(_getEnergy2,3);delta_m=_getEnergy3[0];dE_dx=_getEnergy3[1];dE_dy=_getEnergy3[2]}}}},{key:\"_getHighestEnergyNode\",value:function _getHighestEnergyNode(ignoreClusters){var nodesArray=this.body.nodeIndices;var nodes=this.body.nodes;var maxEnergy=0;var maxEnergyNodeId=nodesArray[0];var dE_dx_max=0,dE_dy_max=0;for(var nodeIdx=0;nodeIdx<nodesArray.length;nodeIdx++){var m=nodesArray[nodeIdx];if(nodes[m].predefinedPosition===false||nodes[m].isCluster===true&&ignoreClusters===true||nodes[m].options.fixed.x===true||nodes[m].options.fixed.y===true){var _getEnergy4=this._getEnergy(m),_getEnergy5=(0,_slicedToArray3[\"default\"])(_getEnergy4,3),delta_m=_getEnergy5[0],dE_dx=_getEnergy5[1],dE_dy=_getEnergy5[2];if(maxEnergy<delta_m){maxEnergy=delta_m;maxEnergyNodeId=m;dE_dx_max=dE_dx;dE_dy_max=dE_dy}}}return[maxEnergyNodeId,maxEnergy,dE_dx_max,dE_dy_max]}},{key:\"_getEnergy\",value:function _getEnergy(m){var _E_sums$m=(0,_slicedToArray3[\"default\"])(this.E_sums[m],2),dE_dx=_E_sums$m[0],dE_dy=_E_sums$m[1];var delta_m=Math.sqrt(Math.pow(dE_dx,2)+Math.pow(dE_dy,2));return[delta_m,dE_dx,dE_dy]}},{key:\"_moveNode\",value:function _moveNode(m,dE_dx,dE_dy){var nodesArray=this.body.nodeIndices;var nodes=this.body.nodes;var d2E_dx2=0;var d2E_dxdy=0;var d2E_dy2=0;var x_m=nodes[m].x;var y_m=nodes[m].y;var km=this.K_matrix[m];var lm=this.L_matrix[m];for(var iIdx=0;iIdx<nodesArray.length;iIdx++){var i=nodesArray[iIdx];if(i!==m){var x_i=nodes[i].x;var y_i=nodes[i].y;var kmat=km[i];var lmat=lm[i];var denominator=1/Math.pow(Math.pow(x_m-x_i,2)+Math.pow(y_m-y_i,2),1.5);d2E_dx2+=kmat*(1-lmat*Math.pow(y_m-y_i,2)*denominator);d2E_dxdy+=kmat*(lmat*(x_m-x_i)*(y_m-y_i)*denominator);d2E_dy2+=kmat*(1-lmat*Math.pow(x_m-x_i,2)*denominator)}}var A=d2E_dx2,B=d2E_dxdy,C=dE_dx,D=d2E_dy2,E=dE_dy;var dy=(C/A+E/B)/(B/A-D/B);var dx=-(B*dy+C)/A;nodes[m].x+=dx;nodes[m].y+=dy;this._updateE_matrix(m)}},{key:\"_createL_matrix\",value:function _createL_matrix(D_matrix){var nodesArray=this.body.nodeIndices;var edgeLength=this.springLength;this.L_matrix=[];for(var i=0;i<nodesArray.length;i++){this.L_matrix[nodesArray[i]]={};for(var j=0;j<nodesArray.length;j++){this.L_matrix[nodesArray[i]][nodesArray[j]]=edgeLength*D_matrix[nodesArray[i]][nodesArray[j]]}}}},{key:\"_createK_matrix\",value:function _createK_matrix(D_matrix){var nodesArray=this.body.nodeIndices;var edgeStrength=this.springConstant;this.K_matrix=[];for(var i=0;i<nodesArray.length;i++){this.K_matrix[nodesArray[i]]={};for(var j=0;j<nodesArray.length;j++){this.K_matrix[nodesArray[i]][nodesArray[j]]=edgeStrength*Math.pow(D_matrix[nodesArray[i]][nodesArray[j]],-2)}}}},{key:\"_createE_matrix\",value:function _createE_matrix(){var nodesArray=this.body.nodeIndices;var nodes=this.body.nodes;this.E_matrix={};this.E_sums={};for(var mIdx=0;mIdx<nodesArray.length;mIdx++){this.E_matrix[nodesArray[mIdx]]=[]}for(var _mIdx=0;_mIdx<nodesArray.length;_mIdx++){var m=nodesArray[_mIdx];var x_m=nodes[m].x;var y_m=nodes[m].y;var dE_dx=0;var dE_dy=0;for(var iIdx=_mIdx;iIdx<nodesArray.length;iIdx++){var i=nodesArray[iIdx];if(i!==m){var x_i=nodes[i].x;var y_i=nodes[i].y;var denominator=1/Math.sqrt(Math.pow(x_m-x_i,2)+Math.pow(y_m-y_i,2));this.E_matrix[m][iIdx]=[this.K_matrix[m][i]*(x_m-x_i-this.L_matrix[m][i]*(x_m-x_i)*denominator),this.K_matrix[m][i]*(y_m-y_i-this.L_matrix[m][i]*(y_m-y_i)*denominator)];this.E_matrix[i][_mIdx]=this.E_matrix[m][iIdx];dE_dx+=this.E_matrix[m][iIdx][0];dE_dy+=this.E_matrix[m][iIdx][1]}}this.E_sums[m]=[dE_dx,dE_dy]}}},{key:\"_updateE_matrix\",value:function _updateE_matrix(m){var nodesArray=this.body.nodeIndices;var nodes=this.body.nodes;var colm=this.E_matrix[m];var kcolm=this.K_matrix[m];var lcolm=this.L_matrix[m];var x_m=nodes[m].x;var y_m=nodes[m].y;var dE_dx=0;var dE_dy=0;for(var iIdx=0;iIdx<nodesArray.length;iIdx++){var i=nodesArray[iIdx];if(i!==m){var cell=colm[iIdx];var oldDx=cell[0];var oldDy=cell[1];var x_i=nodes[i].x;var y_i=nodes[i].y;var denominator=1/Math.sqrt(Math.pow(x_m-x_i,2)+Math.pow(y_m-y_i,2));var dx=kcolm[i]*(x_m-x_i-lcolm[i]*(x_m-x_i)*denominator);var dy=kcolm[i]*(y_m-y_i-lcolm[i]*(y_m-y_i)*denominator);colm[iIdx]=[dx,dy];dE_dx+=dx;dE_dy+=dy;var sum=this.E_sums[i];sum[0]+=dx-oldDx;sum[1]+=dy-oldDy}}this.E_sums[m]=[dE_dx,dE_dy]}}]);return KamadaKawai}();exports[\"default\"]=KamadaKawai},function(module,exports,__webpack_require__){\"use strict\";Object.defineProperty(exports,\"__esModule\",{value:true});var _classCallCheck2=__webpack_require__(0);var _classCallCheck3=_interopRequireDefault(_classCallCheck2);var _createClass2=__webpack_require__(1);var _createClass3=_interopRequireDefault(_createClass2);function _interopRequireDefault(obj){return obj&&obj.__esModule?obj:{default:obj}}var FloydWarshall=function(){function FloydWarshall(){(0,_classCallCheck3[\"default\"])(this,FloydWarshall)}(0,_createClass3[\"default\"])(FloydWarshall,[{key:\"getDistances\",value:function getDistances(body,nodesArray,edgesArray){var D_matrix={};var edges=body.edges;for(var i=0;i<nodesArray.length;i++){var node=nodesArray[i];var cell={};D_matrix[node]=cell;for(var j=0;j<nodesArray.length;j++){cell[nodesArray[j]]=i==j?0:1e9}}for(var _i=0;_i<edgesArray.length;_i++){var edge=edges[edgesArray[_i]];if(edge.connected===true&&D_matrix[edge.fromId]!==undefined&&D_matrix[edge.toId]!==undefined){D_matrix[edge.fromId][edge.toId]=1;D_matrix[edge.toId][edge.fromId]=1}}var nodeCount=nodesArray.length;for(var k=0;k<nodeCount;k++){var knode=nodesArray[k];var kcolm=D_matrix[knode];for(var _i2=0;_i2<nodeCount-1;_i2++){var inode=nodesArray[_i2];var icolm=D_matrix[inode];for(var _j=_i2+1;_j<nodeCount;_j++){var jnode=nodesArray[_j];var jcolm=D_matrix[jnode];var val=Math.min(icolm[jnode],icolm[knode]+kcolm[jnode]);icolm[jnode]=val;jcolm[inode]=val}}}return D_matrix}}]);return FloydWarshall}();exports[\"default\"]=FloydWarshall}])});\n",
            "type": "application/javascript",
            "module-type": "library"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/flibbles/relink/js/bulkops.js": {
            "text": "/*\\\nmodule-type: startup\n\nReplaces the relinkTiddler defined in $:/core/modules/wiki-bulkops.js\n\nThis is a startup instead of a wikimethods module-type because it's the only\nway to ensure this runs after the old relinkTiddler method is applied.\n\n\\*/\n(function(){\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar language = require('$:/plugins/flibbles/relink/js/language.js');\n\nexports.name = \"redefine-relinkTiddler\";\nexports.synchronous = true;\n// load-modules is when wikimethods are applied in\n// ``$:/core/modules/startup/load-modules.js``\nexports.after = ['load-modules'];\n\nexports.startup = function() {\n\t$tw.Wiki.prototype.relinkTiddler = relinkTiddler;\n};\n\n/** Walks through all relinkable tiddlers and relinks them.\n *  This replaces the existing function in core Tiddlywiki.\n */\nfunction relinkTiddler(fromTitle, toTitle, options) {\n\tvar self = this;\n\tvar failures = this.eachRelinkableTiddler(\n\t\t\tfromTitle,\n\t\t\ttoTitle,\n\t\t\toptions,\n\t\t\tfunction(changes, tiddler) {\n\t\tvar newTiddler = new $tw.Tiddler(tiddler,changes,self.getModificationFields())\n\t\tnewTiddler = $tw.hooks.invokeHook(\"th-relinking-tiddler\",newTiddler,tiddler);\n\t\tself.addTiddler(newTiddler);\n\t});\n\tif (failures.length > 0) {\n\t\tlanguage.reportFailures(failures);\n\t}\n};\n\n})();\n",
            "module-type": "startup",
            "title": "$:/plugins/flibbles/relink/js/bulkops.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/errors.js": {
            "text": "/*\\\nmodule-type: library\n\nThis is the exception that gets thrown when a relink is impossible.\n  (Or the hoops we'd have to go through to make it work are more than the user\n   would want Relink to do, like create new tiddlers)\n\\*/\n\nfunction RelinkError() {};\nRelinkError.prototype = Object.create(Error);\nexports.RelinkError = RelinkError;\n\nfunction CannotRelinkError() { };\nCannotRelinkError.prototype = new RelinkError();\nexports.CannotRelinkError = CannotRelinkError\n\nfunction CannotFindMacroDefError(macroName) { this.macroName = macroName; };\nCannotFindMacroDefError.prototype = new RelinkError();\nexports.CannotFindMacroDefError = CannotFindMacroDefError;\n//Cannot find definition for ${macroName}. Make sure your macro whitelist is configured properly, and that you're macro is globally defined, or defined in all the places it's used.\n",
            "module-type": "library",
            "title": "$:/plugins/flibbles/relink/js/errors.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/language.js": {
            "text": "/*\\\nmodule-type: library\n\nThis handles all logging and alerts Relink emits.\n\n\\*/\n\nexports.logRelink = function(message, args, options) {\n\tif (options.quiet) {\n\t\treturn;\n\t}\n\tvar raw = exports.log[message];\n\tif (raw) {\n\t\t// This is cheap, but whatevs. To do a proper\n\t\t// rendering would require working through a wiki\n\t\t// object. Too heavy weight for log messages.\n\t\tvar msg = raw.replace(/<<([^<>]+)>>/g, function(match, key) {\n\t\t\treturn args[key] || (\"<<\"+key+\">>\");\n\t\t});\n\t\tif (raw.indexOf('%c') >= 0) {\n\t\t\t// Doing a little bit of bold so the user sees\n\t\t\t// where we had to jump through hoops.\n\t\t\tconsole.log(\"%c\" + msg, \"\", \"font-weight: bold;\");\n\t\t} else {\n\t\t\tconsole.log(msg);\n\t\t}\n\t} else {\n\t\tconsole.warn(\"No such log message: \" + message);\n\t}\n};\n\nexports.getString = function(title, options) {\n\ttitle = \"$:/plugins/flibbles/relink/language/\" + title;\n\treturn options.wiki.renderTiddler(\"text/plain\", title,\n\t                                  {variables: options.variables});\n};\n\nexports.failureAlert = \"Relink was unable to update the following tiddlers due to the complexity of the title:\";\n\nexports.reportFailures = function(failureList) {\n\tvar reportList = failureList.map(function(f) {return \"\\n   \" + f});\n\tconsole.warn(exports.failureAlert + reportList);\n};\n\nexports.log = {\n\t\"attribute\": \"Renaming '<<from>>' to '<<to>>' in <<<element>> <<attribute>> /> attribute of tiddler '<<tiddler>>'\",\n\t\"attribute-placeholder\": \"Renaming '<<from>>' to '<<to>>' in <<<element>> <<attribute>> /> attribute of tiddler '<<tiddler>>' %cby creating placeholder macros\",\n\t\"field\": \"Renaming '<<from>>' to '<<to>>' in <<field>> of tiddler '<<tiddler>>'\",\n\t\"filteredtransclude\": \"Renaming '<<from>>' to '<<to>>' in filtered transclusion of tiddler '<<tiddler>>'\",\n\t\"filteredtransclude-placeholder\": \"Renaming '<<from>>' to '<<to>>' in filtered transclusion of tiddler '<<tiddler>>' %cby creating placeholder macros\",\n\t\"filteredtransclude-placeholder-widget\": \"Renaming '<<from>>' to '<<to>>' in filtered transclusion of tiddler '<<tiddler>>' %cby converting it into a widget and creating placeholder macros\",\n\t\"filteredtransclude-widget\": \"Renaming '<<from>>' to '<<to>>' in filtered transclusion of tiddler '<<tiddler>>' %cby converting it into a widget\",\n\t\"import\": \"Renaming '<<from>>' to '<<to>>' in \\\\import filter of tiddler '<<tiddler>>'\",\n\t\"import-placeholder\": \"Renaming '<<from>>' to '<<to>>' in \\\\import filter of tiddler '<<tiddler>>' %cby creating placeholder macros\",\n\t\"macrodef\": \"Renaming '<<from>>' to '<<to>>' in <<macro>> definition of tiddler '<<tiddler>>'\",\n\t\"macrodef-placeholder\": \"Renaming '<<from>>' to '<<to>>' in <<macro>> definition of tiddler '<<tiddler>>' %cby creating more placeholder macros\",\n\t\"prettylink\": \"Renaming '<<from>>' to '<<to>>' in prettylink of tiddler '<<tiddler>>'\",\n\t\"prettylink-placeholder\": \"Renaming '<<from>>' to '<<to>>' in prettylink of tiddler '<<tiddler>>' %cby converting it into a widget and creating placeholder macros\",\n\t\"prettylink-widget\": \"Renaming '<<from>>' to '<<to>>' in prettylink of tiddler '<<tiddler>>' %cby converting it into a widget\",\n\t\"transclude\": \"Renaming '<<from>>' to '<<to>>' in transclusion of tiddler '<<tiddler>>'\",\n\t\"transclude-placeholder\": \"Renaming '<<from>>' to '<<to>>' in transclusion of tiddler '<<tiddler>>' %cby converting it into a widget and creating placeholder macros\",\n\t\"transclude-widget\": \"Renaming '<<from>>' to '<<to>>' in transclusion of tiddler '<<tiddler>>' %cby converting it into a widget\",\n\t\"wikilink\": \"Renaming '<<from>>' to '<<to>>' in CamelCase link of tiddler '<<tiddler>>'\",\n\t\"wikilink-placeholder\": \"Renaming '<<from>>' to '<<to>>' in CamelCase link of tiddler '<<tiddler>>' %cby converting it into a widget and creating placeholder macros\",\n\t\"wikilink-pretty\": \"Renaming '<<from>>' to '<<to>>' in CamelCase link of tiddler '<<tiddler>>' %cby converting it into a prettylink\"\n};\n",
            "module-type": "library",
            "title": "$:/plugins/flibbles/relink/js/language.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/settings.js": {
            "text": "/*\\\nmodule-type: library\n\nThis handles the fetching and distribution of relink settings.\n\n\\*/\n\nvar fieldTypes = Object.create(null);\n\n$tw.modules.forEachModuleOfType(\"relinkfieldtype\", function(title, exports) {\n\tfieldTypes[exports.name] = exports;\n\t// For legacy reasons, some of the field types can go by other names\n\tif (exports.aliases) {\n\t\t$tw.utils.each(exports.aliases, function(alias) {\n\t\t\tfieldTypes[alias] = exports;\n\t\t});\n\t}\n});\n\n/**Returns a specific relinker.\n * This is useful for wikitext rules which need to parse a filter or a list\n */\nexports.getRelinker = function(name) {\n\treturn fieldTypes[name];\n};\n\nexports.getAttributes = function(options) {\n\treturn getSettings(options).attributes;\n};\n\nexports.getFields = function(options) {\n\treturn getSettings(options).fields;\n};\n\nexports.getMacros = function(options) {\n\treturn getSettings(options).macros;\n};\n\nexports.getOperators = function(options) {\n\treturn getSettings(options).operators;\n};\n\n/**Factories define methods that create settings given config tiddlers.\n * for factory method 'example', it will be called once for each:\n * \"$:/config/flibbles/relink/example/...\" tiddler that exists.\n * the argument \"key\" will be set to the contents of \"...\"\n *\n * The reason I build relink settings in this convoluted way is to minimize\n * the number of times tiddlywiki has to run through EVERY tiddler looking\n * for relink config tiddlers.\n *\n * Also, by exporting \"factories\", anyone who extends relink can patch in\n * their own factory methods to create settings that are generated exactly\n * once per rename.\n */\nexports.factories = {\n\tattributes: function(attributes, tiddler, key) {\n\t\tvar relinker = fieldTypes[tiddler.fields.text];\n\t\tif (relinker) {\n\t\t\tvar elem = root(key);\n\t\t\tvar attr = key.substr(elem.length+1);\n\t\t\tattributes[elem] = attributes[elem] || Object.create(null);\n\t\t\tattributes[elem][attr] = relinker;\n\t\t}\n\t},\n\tfields: function(fields, tiddler, name) {\n\t\tvar relinker = fieldTypes[tiddler.fields.text];\n\t\tif (relinker) {\n\t\t\tfields[name] = relinker;\n\t\t}\n\t},\n\tmacros: function(macros, tiddler, key) {\n\t\tvar relinker = fieldTypes[tiddler.fields.text];\n\t\tif (relinker) {\n\t\t\t// We take the last index, not the first, because macro\n\t\t\t// parameters can't have slashes, but macroNames can.\n\t\t\tvar name = dir(key);\n\t\t\tvar arg = key.substr(name.length+1);\n\t\t\tmacros[name] = macros[name] || Object.create(null);\n\t\t\tmacros[name][arg] = relinker;\n\t\t}\n\t},\n\toperators: function(operators, tiddler, name) {\n\t\tvar relinker = fieldTypes[tiddler.fields.text];\n\t\tif (relinker) {\n\t\t\toperators[name] = relinker;\n\t\t}\n\t}\n};\n\n/**We're caching the generated settings inside of options. Not exactly how\n * options was meant to be used, but it's fiiiiine.\n * The wiki global cache isn't a great place, because it'll get cleared many\n * times during a bulk relinking operation, and we can't recalculate this every\n * time without exploding a rename operation's time.\n * options works great. It only lasts just as long as the rename.\n * No longer, no shorter.\n */\nfunction getSettings(options) {\n\tvar secretCache = \"__relink_settings\";\n\tvar cache = options[secretCache];\n\tif (cache === undefined) {\n\t\tcache = options[secretCache] = compileSettings(options.wiki);\n\t}\n\treturn cache;\n};\n\nfunction compileSettings(wiki) {\n\tvar prefix = \"$:/config/flibbles/relink/\";\n\tvar settings = Object.create(null);\n\tfor (var name in exports.factories) {\n\t\tsettings[name] = Object.create(null);\n\t}\n\twiki.eachShadowPlusTiddlers(function(tiddler, title) {\n\t\tif (title.substr(0, prefix.length) === prefix) {\n\t\t\tvar remainder = title.substr(prefix.length);\n\t\t\tvar category = root(remainder);\n\t\t\tvar factory = exports.factories[category];\n\t\t\tif (factory) {\n\t\t\t\tvar name = remainder.substr(category.length+1);\n\t\t\t\tfactory(settings[category], tiddler, name);\n\t\t\t}\n\t\t}\n\t});\n\treturn settings;\n};\n\n/* Returns first bit of a path. path/to/tiddler -> path\n */\nfunction root(string) {\n\tvar index = string.indexOf('/');\n\tif (index >= 0) {\n\t\treturn string.substr(0, index);\n\t}\n};\n\n/* Returns all but the last bit of a path. path/to/tiddler -> path/to\n */\nfunction dir(string) {\n\tvar index = string.lastIndexOf('/');\n\tif (index >= 0) {\n\t\treturn string.substr(0, index);\n\t}\n}\n",
            "module-type": "library",
            "title": "$:/plugins/flibbles/relink/js/settings.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/wikimethods.js": {
            "text": "/*\\\nmodule-type: wikimethod\n\nIntroduces some utility methods used by Relink.\n\n\\*/\n\nvar errors = require('$:/plugins/flibbles/relink/js/errors');\n\nvar relinkOperations = Object.create(null);\n$tw.modules.applyMethods('relinkoperator', relinkOperations);\n\n/**Walks through all non-shadow tiddlers and sees which ones need to be relinked\n *\n * For each one, calls method on it with arguments (changes, tiddler, title)\n * Returns a list of tiddlers it would fail to update.\n */\nexports.eachRelinkableTiddler = function(fromTitle, toTitle, options, method) {\n\tvar data = this.getRelinkableTiddlers(fromTitle, toTitle, options);\n\tfor (var title in data.changes) {\n\t\tmethod(data.changes[title], this.getTiddler(title), title);\n\t}\n\treturn data.failures;\n};\n\n/** Returns a pair like this,\n *  { changes: {...}, failures: [] }\n */\nexports.getRelinkableTiddlers = function(fromTitle, toTitle, options) {\n\tvar cache = this.getGlobalCache(\"relink-\"+fromTitle, function() {\n\t\treturn Object.create(null);\n\t});\n\tif (!cache[toTitle]) {\n\t\tcache[toTitle] = getFreshRelinkableTiddlers(this, fromTitle, toTitle, options);\n\t}\n\treturn cache[toTitle];\n};\n\nfunction getFreshRelinkableTiddlers(wiki, fromTitle, toTitle, options) {\n\toptions = options || {};\n\toptions.wiki = options.wiki || wiki;\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\tvar failures = [];\n\tvar changeList = Object.create(null);\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\tvar toUpdate = getRelinkFilter(wiki);\n\t\tvar tiddlerList = toUpdate.call(wiki); // no source or widget\n\t\tfor (var i = 0; i < tiddlerList.length; i++) {\n\t\t\tvar title = tiddlerList[i];\n\t\t\tvar tiddler = wiki.getTiddler(title);\n\t\t\t// Don't touch plugins or JavaScript modules\n\t\t\tif(tiddler\n\t\t\t&& !tiddler.fields[\"plugin-type\"]\n\t\t\t&& tiddler.fields.type !== \"application/javascript\") {\n\t\t\t\ttry {\n\t\t\t\t\tvar changes = Object.create(null);\n\t\t\t\t\tfor (var operation in relinkOperations) {\n\t\t\t\t\t\trelinkOperations[operation](tiddler, fromTitle, toTitle, changes, options);\n\t\t\t\t\t}\n\t\t\t\t\t// If any fields changed, update tiddler\n\t\t\t\t\tif(Object.keys(changes).length > 0) {\n\t\t\t\t\t\tchangeList[title] = changes;\n\t\t\t\t\t}\n\t\t\t\t} catch (e) {\n\t\t\t\t\tif (e instanceof errors.RelinkError) {\n\t\t\t\t\t\tfailures.push(title);\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// Should we test for instanceof Error instead?: yes\n\t\t\t\t\t\t// Does that work in the testing environment?: no\n\t\t\t\t\t\tif (e.message) {\n\t\t\t\t\t\t\te.message = e.message + \"\\nWhen relinking '\" + title + \"'\";\n\t\t\t\t\t\t}\n\t\t\t\t\t\tthrow e;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn {changes: changeList, failures: failures};\n};\n\nfunction getRelinkFilter(wiki) {\n\tvar toUpdate = \"$:/config/flibbles/relink/to-update\";\n\treturn wiki.getCacheForTiddler(toUpdate, \"relink-toUpdate\", function() {\n\t\tvar tiddler = wiki.getTiddler(toUpdate);\n\t\tif (tiddler) {\n\t\t\tvar filter = wiki.compileFilter(tiddler.fields.text);\n\t\t\treturn filter;\n\t\t} else {\n\t\t\treturn wiki.allTitles;\n\t\t}\n\t});\n};\n\n/**Returns a list of tiddlers that would be renamed by a relink operations.\n */\nexports.relinkTiddlerDryRun = function(fromTitle, toTitle, options) {\n\tvar results = [];\n\tthis.eachRelinkableTiddler(\n\t\t\tfromTitle,\n\t\t\ttoTitle,\n\t\t\toptions,\n\t\t\tfunction(changes, tiddler, title) {\n\t\tresults.push(title);\n\t});\n\treturn results;\n};\n\nvar ImportVariablesWidget = require(\"$:/core/modules/widgets/importvariables.js\").importvariables;\n\nexports.relinkGlobalMacros = function() {\n\tif (!this._relinkWidget) {\n\t\tvar importWidget = this.relinkGenerateVariableWidget( \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\");\n\t\tthis.addEventListener(\"change\", function(changes) {\n\t\t\timportWidget.refresh(changes);\n\t\t});\n\t\tthis._relinkWidget = importWidget;\n\t}\n\tvar rtn = this._relinkWidget;\n\twhile (rtn.children.length > 0) {\n\t\trtn = rtn.children[0];\n\t}\n\treturn rtn;\n};\n\nexports.relinkGenerateVariableWidget = function(filter, parent) {\n\tvar treeNode = { attributes: {\n\t\t\"filter\": {\n\t\t\ttype: \"string\",\n\t\t\tvalue: filter\n\t\t}\n\t}};\n\tvar importWidget = new ImportVariablesWidget(treeNode,{parentWidget: parent, wiki: this});\n\timportWidget.computeAttributes();\n\timportWidget.execute();\n\t// These two functions neuter the widget, so it never tries\n\t// to render.\n\timportWidget.findNextSiblingDomNode = function() {};\n\timportWidget.renderChildren(this.parentDomNode);\n\treturn importWidget;\n};\n",
            "module-type": "wikimethod",
            "title": "$:/plugins/flibbles/relink/js/wikimethods.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/filteroperators/impossible.js": {
            "text": "/*\\\nmodule-type: relinkfilteroperator\n\nGiven an input of toTitles, (probably just one), outputs all the tiddlers in\nwhich Relink would fail to update the operand to any of those given titles.\n\n`[[{terrible'}!!\"title\"]relink:impossible[fromTiddler]]`\n\nWould output all the tiddlers where Relink would fail to update `from here` to\n`{terrible'}!!\"title\"`\n\nI know, it's weird. You'd think it would test all incoming inputs instead of\nusing them as to fromTitle, but this is the only way to input both a fromTitle\nand a toTitle.\n\nResults are dominantly appanded if more than one input tiddler is given.\n\\*/\n\nexports.impossible = function(source,operator,options) {\n\tvar fromTitle = operator.operand,\n\t\tresults = [];\n\tif (fromTitle) {\n\t\tsource(function(toTiddler, toTitle) {\n\t\t\tvar fails = options.wiki.eachRelinkableTiddler(\n\t\t\t\tfromTitle, toTitle,\n\t\t\t\t$tw.utils.extend({quiet: true}, options),\n\t\t\t\tfunction(tiddler, title) {});\n\t\t\t$tw.utils.pushTop(results, fails);\n\t\t});\n\t}\n\treturn results;\n};\n",
            "module-type": "relinkfilteroperator",
            "title": "$:/plugins/flibbles/relink/js/filteroperators/impossible.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/filteroperators/references.js": {
            "text": "/*\\\nmodule-type: relinkfilteroperator\n\nGiven a title as an operand, returns all non-shadow tiddlers that have any\nsort of updatable reference to it.\n\n\n`relink:references[fromTiddler]]`\n\nReturns all tiddlers that reference `fromTiddler` somewhere inside them.\n\nInput is ignored. Maybe it shouldn't do this.\nAlso, maybe it should properly recon, instead of fake replacing the title with\n`__relink_dummy__`\n\\*/\n\nexports.references = function(source,operator,options) {\n\tvar fromTitle = operator.operand,\n\t\tresults = [];\n\tif (fromTitle) {\n\t\toptions.wiki.eachRelinkableTiddler(\n\t\t\tfromTitle, \"__relink_dummy__\",\n\t\t\t$tw.utils.extend({quiet: true}, options),\n\t\t\tfunction(changes, tiddler, title) {\n\t\t\t\tresults.push(title);\n\t\t\t});\n\t}\n\treturn results;\n};\n",
            "module-type": "relinkfilteroperator",
            "title": "$:/plugins/flibbles/relink/js/filteroperators/references.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/filteroperators/relink.js": {
            "text": "/*\\\nmodule-type: filteroperator\n\nThis filter acts as a namespace for several small, simple filters, such as\n\n`[relink:impossible[]]`\n\n\\*/\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar language = require('$:/plugins/flibbles/relink/js/language.js');\n\nvar relinkFilterOperators;\n\nfunction getRelinkFilterOperators() {\n\tif(!relinkFilterOperators) {\n\t\trelinkFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"relinkfilteroperator\",\n\t\t                         relinkFilterOperators);\n\t}\n\treturn relinkFilterOperators;\n}\n\nexports.relink = function(source,operator,options) {\n\tvar suffixPair = parseSuffix(operator.suffix);\n\tvar relinkFilterOperator = getRelinkFilterOperators()[suffixPair[0]];\n\tif (relinkFilterOperator) {\n\t\tvar newOperator = $tw.utils.extend({}, operator);\n\t\tnewOperator.suffix = suffixPair[1];\n\t\treturn relinkFilterOperator(source, newOperator, options);\n\t} else {\n\t\treturn [language.getString(\"Error/RelinkFilterOperator\", options)];\n\t}\n};\n\nfunction parseSuffix(suffix) {\n\tvar index = suffix? suffix.indexOf(\":\"): -1;\n\tif (index >= 0) {\n\t\treturn [suffix.substr(0, index), suffix.substr(index+1)];\n\t} else {\n\t\treturn [suffix];\n\t}\n}\n",
            "module-type": "filteroperator",
            "title": "$:/plugins/flibbles/relink/js/filteroperators/relink.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/filteroperators/splitafter.js": {
            "text": "/*\\\ntitle: $:/core/modules/filters/splitbefore.js\ntype: application/javascript\nmodule-type: relinkfilteroperator\n\nFilter operator that splits each result on the last occurance of the specified separator and returns the last bit.\n\nWhat does this have to do with relink? Nothing. I need this so I can render\nthe configuration menu. I //could// use [splitregexp[]], but then I'd be\nlimited to Tiddlywiki v5.1.20 or later.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.splitafter = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar index = title.lastIndexOf(operator.operand);\n\t\tif(index < 0) {\n\t\t\t$tw.utils.pushTop(results,title);\n\t\t} else {\n\t\t\t$tw.utils.pushTop(results,title.substr(index+1));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n\n",
            "title": "$:/plugins/flibbles/relink/js/filteroperators/splitafter.js",
            "type": "application/javascript",
            "module-type": "relinkfilteroperator"
        },
        "$:/plugins/flibbles/relink/js/fieldtypes/filter.js": {
            "text": "/*\\\nThis specifies logic for updating filters to reflect title changes.\n\\*/\n\n/**Returns undefined if no change was made.\n */\n\nvar CannotRelinkError = require(\"$:/plugins/flibbles/relink/js/errors.js\").CannotRelinkError;\nvar refHandler = require(\"$:/plugins/flibbles/relink/js/fieldtypes/reference\");\nvar settings = require('$:/plugins/flibbles/relink/js/settings.js');\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder\");\n\nexports.name = \"filter\";\n\nexports.relink = function(filter, fromTitle, toTitle, options) {\n\tif (!filter || filter.indexOf(fromTitle) < 0) {\n\t\treturn undefined;\n\t}\n\tvar relinker = new Rebuilder(filter);\n\tvar whitelist = settings.getOperators(options);\n\tvar p = 0, // Current position in the filter string\n\t\tmatch, noPrecedingWordBarrier,\n\t\twordBarrierRequired=false;\n\tvar whitespaceRegExp = /\\s+/mg,\n\t\toperandRegExp = /((?:\\+|\\-|~|=)?)(?:(\\[)|(?:\"([^\"]*)\")|(?:'([^']*)')|([^\\s\\[\\]]+))/mg;\n\twhile(p < filter.length) {\n\t\t// Skip any whitespace\n\t\twhitespaceRegExp.lastIndex = p;\n\t\tmatch = whitespaceRegExp.exec(filter);\n\t\tnoPrecedingWordBarrier = false;\n\t\tif(match && match.index === p) {\n\t\t\tp = p + match[0].length;\n\t\t} else if (p != 0) {\n\t\t\tif (wordBarrierRequired) {\n\t\t\t\trelinker.add(' ', p, p);\n\t\t\t\twordBarrierRequired = false;\n\t\t\t} else {\n\t\t\t\tnoPrecedingWordBarrier = true;\n\t\t\t}\n\t\t}\n\t\t// Match the start of the operation\n\t\tif(p < filter.length) {\n\t\t\tvar val;\n\t\t\toperandRegExp.lastIndex = p;\n\t\t\tmatch = operandRegExp.exec(filter);\n\t\t\tif(!match || match.index !== p) {\n\t\t\t\t// It's a bad filter\n\t\t\t\treturn undefined;\n\t\t\t}\n\t\t\tif(match[1]) { // prefix\n\t\t\t\tp++;\n\t\t\t}\n\t\t\tif(match[2]) { // Opening square bracket\n\t\t\t\t// We check if this is a standalone title,\n\t\t\t\t// like `[[MyTitle]]`. We treat those like\n\t\t\t\t// `\"MyTitle\"` or `MyTitle`. Not like a run.\n\t\t\t\tvar standaloneTitle = /\\[\\[([^\\]]+)\\]\\]/g;\n\t\t\t\tstandaloneTitle.lastIndex = p;\n\t\t\t\tvar alone = standaloneTitle.exec(filter);\n\t\t\t\tif (!alone || alone.index != p) {\n\t\t\t\t\t// It's a legit run\n\t\t\t\t\tp =parseFilterOperation(relinker,fromTitle,toTitle,filter,p,whitelist,options);\n\t\t\t\t\tif (p === undefined) {\n\t\t\t\t\t\t// The filter is malformed\n\t\t\t\t\t\t// We do nothing.\n\t\t\t\t\t\treturn undefined;\n\t\t\t\t\t}\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\tbracketTitle = alone[1];\n\t\t\t\toperandRegExp.lastIndex = standaloneTitle.lastIndex;\n\t\t\t\tval = alone[1];\n\t\t\t} else {\n\t\t\t\t// standalone Double quoted string, single\n\t\t\t\t// quoted string, or noquote ahead.\n\t\t\t\tval = match[3] || match[4] || match[5];\n\t\t\t}\n\t\t\t// From here on, we're dealing with a standalone title\n\t\t\t// expression. like `\"MyTitle\"` or `[[MyTitle]]`\n\t\t\t// We're much more flexible about relinking these.\n\t\t\tvar preference = undefined;\n\t\t\tif (match[3]) {\n\t\t\t\tpreference = '\"';\n\t\t\t} else if (match[4]) {\n\t\t\t\tpreference = \"'\";\n\t\t\t} else if (match[5]) {\n\t\t\t\tpreference = '';\n\t\t\t}\n\t\t\tif (val === fromTitle) {\n\t\t\t\tvar newVal = wrapTitle(toTitle, preference);\n\t\t\t\tif (newVal === undefined) {\n\t\t\t\t\tif (!options.placeholder) {\n\t\t\t\t\t\tthrow new CannotRelinkError();\n\t\t\t\t\t}\n\t\t\t\t\tnewVal = \"[<\"+options.placeholder.getPlaceholderFor(toTitle)+\">]\";\n\t\t\t\t\toptions.usedPlaceholder = true;\n\t\t\t\t}\n\t\t\t\tif (newVal[0] != '[') {\n\t\t\t\t\t// not bracket enclosed\n\t\t\t\t\t// this requires whitespace\n\t\t\t\t\t// arnound it\n\t\t\t\t\tif (noPrecedingWordBarrier && !match[1]) {\n\t\t\t\t\t\trelinker.add(' ', p, p);\n\t\t\t\t\t}\n\t\t\t\t\twordBarrierRequired = true;\n\t\t\t\t}\n\t\t\t\trelinker.add(newVal,p,operandRegExp.lastIndex);\n\t\t\t}\n\t\t\tp = operandRegExp.lastIndex;\n\t\t}\n\t}\n\treturn relinker.results();\n};\n\nfunction wrapTitle(value, preference) {\n\tvar choices = {\n\t\t\"\": function(v) {return !/[\\s\\[\\]]/.test(v); },\n\t\t\"[\": canBePrettyOperand,\n\t\t\"'\": function(v) {return v.indexOf(\"'\") < 0; },\n\t\t'\"': function(v) {return v.indexOf('\"') < 0; }\n\t};\n\tvar wrappers = {\n\t\t\"\": function(v) {return v; },\n\t\t\"[\": function(v) {return \"[[\"+v+\"]]\"; },\n\t\t\"'\": function(v) {return \"'\"+v+\"'\"; },\n\t\t'\"': function(v) {return '\"'+v+'\"'; }\n\t};\n\tif (choices[preference]) {\n\t\tif (choices[preference](value)) {\n\t\t\treturn wrappers[preference](value);\n\t\t}\n\t}\n\tfor (var quote in choices) {\n\t\tif (choices[quote](value)) {\n\t\t\treturn wrappers[quote](value);\n\t\t}\n\t}\n\t// No quotes will work on this\n\treturn undefined;\n}\n\nfunction parseFilterOperation(relinker, fromTitle, toTitle, filterString, p, whitelist, options) {\n\tvar nextBracketPos, operator;\n\t// Skip the starting square bracket\n\tif(filterString.charAt(p++) !== \"[\") {\n\t\t// Missing [ in filter expression\n\t\treturn undefined;\n\t}\n\t// Process each operator in turn\n\tdo {\n\t\toperator = {};\n\t\t// Check for an operator prefix\n\t\tif(filterString.charAt(p) === \"!\") {\n\t\t\tp++;\n\t\t}\n\t\t// Get the operator name\n\t\tnextBracketPos = filterString.substring(p).search(/[\\[\\{<\\/]/);\n\t\tif(nextBracketPos === -1) {\n\t\t\t// Missing [ in filter expression\n\t\t\treturn undefined;\n\t\t}\n\t\tnextBracketPos += p;\n\t\tvar bracket = filterString.charAt(nextBracketPos);\n\t\toperator.operator = filterString.substring(p,nextBracketPos);\n\n\t\t// Any suffix?\n\t\tvar colon = operator.operator.indexOf(':');\n\t\tif(colon > -1) {\n\t\t\toperator.suffix = operator.operator.substring(colon + 1);\n\t\t\toperator.operator = operator.operator.substring(0,colon) || \"field\";\n\t\t}\n\t\t// Empty operator means: title\n\t\telse if(operator.operator === \"\") {\n\t\t\toperator.operator = \"title\";\n\t\t}\n\n\t\tp = nextBracketPos + 1;\n\t\tswitch (bracket) {\n\t\t\tcase \"{\": // Curly brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\"}\",p);\n\t\t\t\tvar operand = filterString.substring(p,nextBracketPos);\n\t\t\t\tvar ref = $tw.utils.parseTextReference(operand);\n\t\t\t\tif (ref.title === fromTitle) {\n\t\t\t\t\tif(!canBePrettyIndirect(toTitle)) {\n\t\t\t\t\t\tthrow new CannotRelinkError();\n\t\t\t\t\t}\n\t\t\t\t\tref.title = toTitle;\n\t\t\t\t\tvar newRef = refHandler.toString(ref);\n\t\t\t\t\t// We don't check the whitelist.\n\t\t\t\t\t// All indirect operands convert.\n\t\t\t\t\trelinker.add(newRef,p,nextBracketPos);\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase \"[\": // Square brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\"]\",p);\n\t\t\t\tvar operand = filterString.substring(p,nextBracketPos);\n\t\t\t\t// Check if this is a relevant operator\n\t\t\t\tvar handler = fieldType(whitelist, operator);\n\t\t\t\tif (!handler) {\n\t\t\t\t\t// This operator isn't managed. Bye.\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tvar result = handler.relink(operand, fromTitle, toTitle, options);\n\t\t\t\tif (!result) {\n\t\t\t\t\t// The fromTitle wasn't in the operand.\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tvar wrapped;\n\t\t\t\tif (!canBePrettyOperand(result)) {\n\t\t\t\t\tif (!options.placeholder) {\n\t\t\t\t\t\tthrow new CannotRelinkError();\n\t\t\t\t\t}\n\t\t\t\t\tvar ph = options.placeholder.getPlaceholderFor(result);\n\t\t\t\t\twrapped = \"<\"+ph+\">\";\n\t\t\t\t\toptions.usedPlaceholder = true;\n\t\t\t\t} else {\n\t\t\t\t\twrapped = \"[\"+result+\"]\";\n\t\t\t\t}\n\t\t\t\trelinker.add(wrapped, p-1, nextBracketPos+1);\n\t\t\t\tbreak;\n\t\t\tcase \"<\": // Angle brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\">\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"/\": // regexp brackets\n\t\t\t\tvar rex = /^((?:[^\\\\\\/]*|\\\\.)*)\\/(?:\\(([mygi]+)\\))?/g,\n\t\t\t\t\trexMatch = rex.exec(filterString.substring(p));\n\t\t\t\tif(rexMatch) {\n\t\t\t\t\tnextBracketPos = p + rex.lastIndex - 1;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\t// Unterminated regular expression\n\t\t\t\t\treturn undefined;\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\n\t\tif(nextBracketPos === -1) {\n\t\t\t// Missing closing bracket in filter expression\n\t\t\t// return undefined;\n\t\t}\n\t\tp = nextBracketPos + 1;\n\n\t} while(filterString.charAt(p) !== \"]\");\n\t// Skip the ending square bracket\n\tif(filterString.charAt(p++) !== \"]\") {\n\t\t// Missing ] in filter expression\n\t\treturn undefined;\n\t}\n\t// Return the parsing position\n\treturn p;\n}\n\n// Returns the relinker needed for a given operator, or returns undefined.\nfunction fieldType(whitelist, operator) {\n\treturn whitelist[operator.operator] ||\n\t       (operator.suffix &&\n\t        whitelist[operator.operator + \":\" + operator.suffix]);\n};\n\nfunction canBePrettyOperand(value) {\n\treturn value.indexOf(']') < 0;\n};\n\nfunction canBePrettyIndirect(value) {\n\treturn value.indexOf('}') < 0;\n};\n",
            "module-type": "relinkfieldtype",
            "title": "$:/plugins/flibbles/relink/js/fieldtypes/filter.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/fieldtypes/list.js": {
            "text": "/*\\\nThis manages replacing titles that occur within stringLists, like,\n\nTiddlerA [[Tiddler with spaces]] [[Another Title]]\n\\*/\n\nvar CannotRelinkError = require(\"$:/plugins/flibbles/relink/js/errors.js\").CannotRelinkError;\n\nexports.name = \"list\";\n\n/**Returns undefined if no change was made.\n * Parameter: value can literally be a list. This can happen for builtin\n *            types 'list' and 'tag'. In those cases, we also return list.\n */\nexports.relink = function(value, fromTitle, toTitle, options) {\n\tvar isModified = false,\n\t\tactualList = false,\n\t\tlist;\n\tif (typeof value !== \"string\") {\n\t\t// Not a string. Must be a list.\n\t\t// clone it, since we may make changes to this possibly\n\t\t// frozen list.\n\t\tlist = (value || []).slice(0);\n\t\tactualList = true;\n\t} else {\n\t\tlist = $tw.utils.parseStringArray(value || \"\");\n\t}\n\t$tw.utils.each(list,function (title,index) {\n\t\tif(title === fromTitle) {\n\t\t\tlist[index] = toTitle;\n\t\t\tisModified = true;\n\t\t}\n\t});\n\tif (isModified) {\n\t\t// It doesn't parse correctly alone, it won't\n\t\t// parse correctly in any list.\n\t\tif (!canBeListItem(toTitle)) {\n\t\t\tthrow new CannotRelinkError();\n\t\t}\n\t\tif (actualList) {\n\t\t\treturn list;\n\t\t} else {\n\t\t\treturn $tw.utils.stringifyList(list);\n\t\t}\n\t}\n\treturn undefined;\n};\n\nfunction canBeListItem(value) {\n\tvar regexp = /\\]\\][^\\S\\xA0]/m;\n\treturn !regexp.test(value);\n};\n",
            "module-type": "relinkfieldtype",
            "title": "$:/plugins/flibbles/relink/js/fieldtypes/list.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/fieldtypes/reference.js": {
            "text": "/*\\\nThis manages replacing titles that occur inside text references,\n\ntiddlerTitle\ntiddlerTitle!!field\n!!field\ntiddlerTitle##propertyIndex\n\\*/\n\nvar CannotRelinkError = require(\"$:/plugins/flibbles/relink/js/errors.js\").CannotRelinkError;\n\nexports.name = \"reference\";\n\nexports.relink = function(value, fromTitle, toTitle, options) {\n\tvar reference = $tw.utils.parseTextReference(value);\n\tif (reference.title !== fromTitle) {\n\t\treturn undefined;\n\t}\n\treference.title = toTitle;\n\treturn exports.toString(reference);\n};\n\nexports.toString = function(textReference) {\n\tvar title = textReference.title || '';\n\tif (!exports.canBePretty(title)) {\n\t\tthrow new CannotRelinkError();\n\t}\n\tif (textReference.field) {\n\t\treturn title + \"!!\" + textReference.field;\n\t} else if (textReference.index) {\n\t\treturn title + \"##\" + textReference.index;\n\t}\n\treturn title;\n};\n\nexports.canBePretty = function(title)  {\n\treturn title.indexOf(\"!!\") < 0 && title.indexOf(\"##\") < 0;\n};\n",
            "module-type": "relinkfieldtype",
            "title": "$:/plugins/flibbles/relink/js/fieldtypes/reference.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/fieldtypes/title.js": {
            "text": "/*\\\nThis specifies logic for replacing a single-tiddler field. This is the\nsimplest kind of field type. One title swaps out for the other.\n\\*/\n\n// NOTE TO MODDERS: If you're making your own field types, the name must be\n//                  alpha characters only.\nexports.name = 'title';\n\n/**Returns undefined if no change was made.\n */\nexports.relink = function(value, fromTitle, toTitle, options) {\n\tif (value === fromTitle) {\n\t\treturn toTitle;\n\t}\n\treturn undefined;\n};\n\n// This is legacy support for when 'title' was known as 'field'\nexports.aliases = ['field', 'yes'];\n",
            "module-type": "relinkfieldtype",
            "title": "$:/plugins/flibbles/relink/js/fieldtypes/title.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/fields.js": {
            "text": "/*\\\n\nHandles all fields specified in the plugin configuration. Currently, this\nonly supports single-value fields.\n\n\\*/\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar settings = require('$:/plugins/flibbles/relink/js/settings.js');\nvar log = require('$:/plugins/flibbles/relink/js/language.js').logRelink;\n\nexports['fields'] = function(tiddler, fromTitle, toTitle, changes, options) {\n\tvar fields = settings.getFields(options);\n\t$tw.utils.each(fields, function(handler, field) {\n\t\tvar input = tiddler.fields[field];\n\t\tvar value = handler.relink(input, fromTitle, toTitle, options);\n\t\tif (value !== undefined) {\n\t\t\tlog(\"field\", {\n\t\t\t\tfrom: fromTitle,\n\t\t\t\tto: toTitle,\n\t\t\t\ttiddler: tiddler.fields.title,\n\t\t\t\tfield: descriptor(field)\n\t\t\t}, options);\n\t\t\tchanges[field] = value;\n\t\t}\n\t});\n};\n\nfunction descriptor(field) {\n\tif (field === \"tags\") {\n\t\treturn \"tags\";\n\t} else {\n\t\treturn field + \" field\" ;\n\t}\n};\n",
            "module-type": "relinkoperator",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/fields.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text.js": {
            "text": "/*\\\n\nDepending on the tiddler type, this will apply textOperators which may\nrelink titles within the body.\n\n\\*/\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar defaultOperator = \"text/vnd.tiddlywiki\";\n\nvar textOperators = Object.create(null);\n$tw.modules.applyMethods('relinktextoperator', textOperators);\n\nexports['text'] = function(tiddler, fromTitle, toTitle, changes, options) {\n\tvar text = tiddler.fields.text,\n\t\tbuilder = [],\n\t\tbuildIndex = 0;\n\tif (text && text.indexOf(fromTitle) >= 0) {\n\t\tvar type = tiddler.fields.type || defaultOperator;\n\t\tif (textOperators[type]) {\n\t\t\ttextOperators[type].call(this, tiddler, fromTitle, toTitle, changes, options);\n\t\t}\n\t}\n};\n",
            "module-type": "relinkoperator",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext.js": {
            "text": "/*\\\n\nChecks for fromTitle in a tiddler's text. If found, sees if it's relevant,\nand tries to swap it out if it is.\n\n\\*/\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar type = 'text/vnd.tiddlywiki';\nvar WikiParser = require(\"$:/core/modules/parsers/wikiparser/wikiparser.js\")[type];\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder.js\");\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar rules = Object.create(null);\n\n$tw.modules.forEachModuleOfType(\"relinkwikitextrule\", function(title, exports) {\n\tvar names = exports.name;\n\tif (typeof names === \"string\") {\n\t\tnames = [names];\n\t}\n\tfor (var i = 0; i < names.length; i++) {\n\t\trules[names[i]] = exports;\n\t}\n});\n\nfunction WikiRelinker(text, title, toTitle, options) {\n\tWikiParser.call(this, null, text, options);\n\tif (!this.relinkMethodsInjected) {\n\t\t$tw.utils.each([this.pragmaRuleClasses, this.blockRuleClasses, this.inlineRuleClasses], function(classList) {\n\t\t\tfor (var name in classList) {\n\t\t\t\tif (rules[name]) {\n\t\t\t\t\tdelete rules[name].name;\n\t\t\t\t\t$tw.utils.extend(classList[name].prototype, rules[name]);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t\tWikiRelinker.prototype.relinkMethodsInjected = true;\n\t}\n\tthis.title = title;\n\tthis.toTitle = toTitle;\n\tthis.inlineRules = this.blockRules.concat(this.pragmaRules, this.inlineRules);\n\t// We work through relinkRules so we can change it later.\n\t// relinkRules is inlineRules so it gets touched up by amendRules().\n\tthis.relinkRules = this.inlineRules;\n\tthis.placeholders = Object.create(null);\n\tthis.reverseMap = Object.create(null);\n\tthis.knownMacros = Object.create(null);\n\tthis.widget = undefined;\n};\n\nWikiRelinker.prototype = Object.create(WikiParser.prototype);\nWikiRelinker.prototype.parsePragmas = function() {return []; };\nWikiRelinker.prototype.parseInlineRun = function() {};\nWikiRelinker.prototype.parseBlocks = function() {};\n\nWikiRelinker.prototype.getPlaceholderFor = function(value, category) {\n\tvar placeholder = this.reverseMap[value];\n\tif (placeholder) {\n\t\treturn placeholder;\n\t}\n\tvar number = 0;\n\tvar prefix = \"relink-\"\n\tif (category && category !== \"title\") {\n\t\t// I don't like \"relink-title-1\". \"relink-1\" should be for\n\t\t// titles. lists, and filters can have descriptors though.\n\t\tprefix += category + \"-\";\n\t}\n\tdo {\n\t\tnumber += 1;\n\t\tplaceholder = prefix + number;\n\t} while (this.knownMacros[placeholder]);\n\tthis.placeholders[placeholder] = value;\n\tthis.reverseMap[value] = placeholder;\n\tthis.reserve(placeholder);\n\treturn placeholder;\n};\n\nWikiRelinker.prototype.addWidget = function(widget) {\n\tthis.widget = widget;\n\twhile (this.widget.children.length > 0) {\n\t\tthis.widget = this.widget.children[0];\n\t}\n};\n\nWikiRelinker.prototype.getVariableWidget = function() {\n\tif (!this.widget) {\n\t\tthis.widget = this.wiki.relinkGlobalMacros();\n\t\tvar parentWidget = new Widget({}, {parentWidget: this.widget});\n\t\tparentWidget.setVariable(\"currentTiddler\", this.title);\n\t\tvar widget = new Widget({}, {parentWidget: parentWidget});\n\t\tthis.addWidget(widget);\n\t}\n\treturn this.widget;\n};\n\nWikiRelinker.prototype.reserve = function(macro) {\n\tthis.knownMacros[macro] = true;\n};\n\nWikiRelinker.prototype.getPreamble = function() {\n\tvar results = [];\n\tfor (var name in this.placeholders) {\n\t\tvar val = this.placeholders[name];\n\t\tresults.push(\"\\\\define \"+name+\"() \"+val+\"\\n\");\n\t}\n\tif (results.length > 0) {\n\t\treturn results.join('');\n\t} else {\n\t\treturn undefined;\n\t}\n};\n\nexports[type] = function(tiddler, fromTitle, toTitle, changes, options) {\n\tvar text = tiddler.fields.text,\n\t\tbuilder = new Rebuilder(text),\n\t\tparser = new WikiRelinker(text, tiddler.fields.title, toTitle, options),\n\t\tmatchingRule;\n\twhile (matchingRule = parser.findNextMatch(parser.relinkRules, parser.pos)) {\n\t\tif (matchingRule.rule.relink) {\n\t\t\tvar newSegment = matchingRule.rule.relink(tiddler, text, fromTitle, toTitle, options);\n\t\t\tif (newSegment !== undefined) {\n\t\t\t\tbuilder.add(newSegment, matchingRule.matchIndex, parser.pos);\n\t\t\t}\n\t\t} else {\n\t\t\tif (matchingRule.rule.matchRegExp !== undefined) {\n\t\t\t\tparser.pos = matchingRule.rule.matchRegExp.lastIndex;\n\t\t\t} else {\n\t\t\t\t// We can't easily determine the end of this\n\t\t\t\t// rule match. We'll \"parse\" it so that\n\t\t\t\t// parser.pos gets updated, but we throw away\n\t\t\t\t// the results.\n\t\t\t\tmatchingRule.rule.parse();\n\t\t\t}\n\t\t}\n\t}\n\tif (builder.changed()) {\n\t\tbuilder.prepend(parser.getPreamble());\n\t\tchanges.text = builder.results();\n\t}\n};\n",
            "module-type": "relinktextoperator",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/comment.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles comment blocks. Or rather //doesn't// handle them, since we should\nignore their contents.\n\n\"<!-- [[Renamed Title]] -->\" will remain unchanged.\n\n\\*/\n\nexports.name = [\"commentinline\", \"commentblock\"];\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\treturn undefined;\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/comment.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/filteredtransclude.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement of filtered transclusions in wiki text like,\n\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n\nThis renames both the list and the template field.\n\n\\*/\n\nexports.name = ['filteredtranscludeinline', 'filteredtranscludeblock'];\n\nvar filterHandler = require(\"$:/plugins/flibbles/relink/js/settings\").getRelinker('filter');\nvar log = require('$:/plugins/flibbles/relink/js/language.js').logRelink;\nvar utils = require(\"./utils.js\");\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\tvar m = this.match;\n\t\tfilter = m[1],\n\t\ttooltip = m[2],\n\t\ttemplate = m[3],\n\t\tstyle = m[4],\n\t\tclasses = m[5],\n\t\tparser = this.parser,\n\t\tlogArguments = {\n\t\t\tfrom: fromTitle,\n\t\t\tto: toTitle,\n\t\t\ttiddler: tiddler.fields.title\n\t\t};\n\tparser.pos = this.matchRegExp.lastIndex;\n\tvar modified = false;\n\tif ($tw.utils.trim(template) === fromTitle) {\n\t\t// preserves user-inputted whitespace\n\t\ttemplate = template.replace(fromTitle, toTitle);\n\t\tmodified = true;\n\t}\n\tvar extendedOptions = $tw.utils.extend({placeholder: this.parser}, options);\n\tvar relinkedFilter = filterHandler.relink(filter, fromTitle, toTitle, extendedOptions);\n\tvar message = \"filteredtransclude\";\n\tif (extendedOptions.usedPlaceholder) {\n\t\tmessage = \"filteredtransclude-placeholder\";\n\t}\n\tif (relinkedFilter !== undefined) {\n\t\tfilter = relinkedFilter;\n\t\tmodified = true;\n\t}\n\tif (!modified) {\n\t\treturn undefined;\n\t}\n\tif (canBePretty(filter) && canBePrettyTemplate(template)) {\n\t\tlog(message, logArguments, options);\n\t\treturn prettyList(filter, tooltip, template, style, classes);\n\t}\n\tmessage = message + \"-widget\";\n\tif (classes !== undefined) {\n\t\tclasses = classes.split('.').join(' ');\n\t}\n\tfunction wrap(name, value, treatAsTitle) {\n\t\tif (!value) {\n\t\t\treturn '';\n\t\t}\n\t\tvar wrappedValue = utils.wrapAttributeValue(value);\n\t\tif (wrappedValue === undefined) {\n\t\t\tvar category = treatAsTitle ? undefined : name;\n\t\t\twrappedValue = \"<<\"+parser.getPlaceholderFor(value,category)+\">>\";\n\t\t\tmessage = \"filteredtransclude-placeholder-widget\";\n\t\t}\n\t\treturn \" \"+name+\"=\"+wrappedValue;\n\t};\n\tvar widget = [\n\t\t\"<$list\",\n\t\twrap(\"filter\", filter),\n\t\twrap(\"tooltip\", tooltip),\n\t\twrap(\"template\", template, true),\n\t\twrap(\"style\", style),\n\t\twrap(\"itemClass\", classes),\n\t\t\"/>\"\n\t].join('');\n\tlog(message, logArguments, options);\n\treturn widget;\n};\n\nfunction canBePretty(filter) {\n\treturn filter.indexOf('|') < 0 && filter.indexOf('}}') < 0;\n};\n\nfunction canBePrettyTemplate(template) {\n\treturn !template || (\n\t\ttemplate.indexOf('|') < 0\n\t\t&& template.indexOf('{') < 0\n\t\t&& template.indexOf('}') < 0);\n};\n\nfunction prettyList(filter, tooltip, template, style, classes) {\n\tif (tooltip === undefined) {\n\t\ttooltip = '';\n\t} else {\n\t\ttooltip = \"|\" + tooltip;\n\t}\n\tif (template === undefined) {\n\t\ttemplate = '';\n\t} else {\n\t\ttemplate = \"||\" + template;\n\t}\n\tif (classes === undefined) {\n\t\tclasses = '';\n\t} else {\n\t\tclasses = \".\" + classes;\n\t}\n\tstyle = style || '';\n\treturn \"{{{\"+filter+tooltip+template+\"}}\"+style+\"}\"+classes;\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/filteredtransclude.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/html.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement in attributes of widgets and html elements\nThis is configurable to select exactly which attributes of which elements\nshould be changed.\n\n<$link to=\"TiddlerTitle\" />\n\n\\*/\n\nvar utils = require(\"./utils.js\");\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder\");\nvar html = require(\"$:/core/modules/parsers/wikiparser/rules/html.js\");\nvar log = require('$:/plugins/flibbles/relink/js/language.js').logRelink;\nvar settings = require('$:/plugins/flibbles/relink/js/settings.js');\nvar refHandler = require(\"$:/plugins/flibbles/relink/js/fieldtypes/reference\");\nvar filterHandler = require(\"$:/plugins/flibbles/relink/js/settings\").getRelinker('filter');\nvar macrocall = require(\"./macrocall.js\");\nvar CannotRelinkError = require(\"$:/plugins/flibbles/relink/js/errors.js\").CannotRelinkError;\n\nexports.name = \"html\";\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\tvar managedElement = settings.getAttributes(options)[this.nextTag.tag],\n\t\tbuilder = new Rebuilder(text, this.nextTag.start);\n\tvar importFilterAttr;\n\tfor (var attributeName in this.nextTag.attributes) {\n\t\tvar attr = this.nextTag.attributes[attributeName];\n\t\tvar nextEql = text.indexOf('=', attr.start);\n\t\t// This is the rare case of changing tiddler\n\t\t// \"true\" to something else when \"true\" is\n\t\t// implicit, like <$link to /> We ignore those.\n\t\tif (nextEql < 0 || nextEql > attr.end) {\n\t\t\tcontinue;\n\t\t}\n\t\tif (this.nextTag.tag === \"$importvariables\" && attributeName === \"filter\") {\n\t\t\timportFilterAttr = attr;\n\t\t}\n\t\tvar oldValue, quote, logMessage = \"attribute\";\n\t\tif (attr.type === \"string\") {\n\t\t\tvar handler = getAttributeHandler(this.nextTag, attributeName, options);\n\t\t\tif (!handler) {\n\t\t\t\t// We don't manage this attribute. Bye.\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tvar extendedOptions = $tw.utils.extend({placeholder: this.parser}, options);\n\t\t\toldValue = attr.value;\n\t\t\tvar value = handler.relink(attr.value, fromTitle, toTitle, extendedOptions);\n\t\t\tif (value === undefined) {\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tif (extendedOptions.usedPlaceholder) {\n\t\t\t\tlogMessage = \"attribute-placeholder\";\n\t\t\t}\n\t\t\tquote = utils.determineQuote(text, attr);\n\t\t\tattr.quotedValue = utils.wrapAttributeValue(value,quote);\n\t\t\tif (attr.quotedValue === undefined) {\n\t\t\t\t// The value was unquotable. We need to make\n\t\t\t\t// a macro in order to replace it.\n\t\t\t\tvalue = this.parser.getPlaceholderFor(value,handler.name)\n\t\t\t\tattr.type = \"macro\";\n\t\t\t\tattr.quotedValue = \"<<\"+value+\">>\";\n\t\t\t\tlogMessage = \"attribute-placeholder\";\n\t\t\t}\n\t\t\tattr.value = value;\n\t\t} else if (attr.type === \"indirect\") {\n\t\t\tif (toTitle.indexOf(\"}\") >= 0) {\n\t\t\t\t// Impossible replacement\n\t\t\t\tthrow new CannotRelinkError();\n\t\t\t}\n\t\t\toldValue = attr.textReference;\n\t\t\tquote = \"{{\";\n\t\t\tvar ref = $tw.utils.parseTextReference(attr.textReference);\n\t\t\tif (ref.title !== fromTitle) {\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tref.title = toTitle;\n\t\t\tattr.textReference = refHandler.toString(ref);\n\t\t\tattr.quotedValue = \"{{\"+attr.textReference+\"}}\";\n\t\t} else if (attr.type === \"filtered\") {\n\t\t\tvar extendedOptions = $tw.utils.extend({placeholder: this.parser}, options);\n\t\t\toldValue = attr.filter\n\t\t\tvar filter = filterHandler.relink(attr.filter, fromTitle, toTitle, extendedOptions);\n\t\t\tif (filter === undefined) {\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tif (!canBeFilterValue(filter)) {\n\t\t\t\t// Although I think we can actually do this one.\n\t\t\t\tthrow new CannotRelinkError();\n\t\t\t}\n\t\t\tattr.filter = filter;\n\t\t\tattr.quotedValue = \"{{{\" + filter + \"}}}\";\n\t\t\tquote = \"{{{\";\n\t\t} else if (attr.type === \"macro\") {\n\t\t\tvar macro = attr.value;\n\t\t\toldValue = attr.value;\n\t\t\tvar newMacro = macrocall.relinkMacroInvocation(macro, text, this.parser, fromTitle, toTitle, options);\n\t\t\tif (newMacro === undefined) {\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tif (macrocall.mustBeAWidget(newMacro)) {\n\t\t\t\tthrow new CannotRelinkError();\n\t\t\t}\n\t\t\tattr.value = newMacro;\n\t\t\t// TODO: Let's not hack like this. attr.value is\n\t\t\t// expected to be a string of the unquoted value below.\n\t\t\t// Make this better when I can.\n\t\t\toldValue.length = (macro.end-macro.start)-4;\n\t\t\tquote = \"<<\";\n\t\t\tattr.quotedValue = macrocall.macroToString(newMacro, text, this.parser, options);\n\t\t} else {\n\t\t\tcontinue;\n\t\t}\n\t\t// account for the quote if it's there.\n\t\t// We count backwards from the end to preserve whitespace\n\t\tvar valueStart = attr.end\n\t\t               - (quote.length*2)\n\t\t               - oldValue.length;\n\t\tbuilder.add(attr.quotedValue, valueStart, attr.end);\n\t\tvar logArguments = {\n\t\t\tfrom: fromTitle,\n\t\t\tto: toTitle,\n\t\t\ttiddler: tiddler.fields.title,\n\t\t\telement: this.nextTag.tag,\n\t\t\tattribute: attributeName\n\t\t};\n\t\tlog(logMessage, logArguments, options);\n\t}\n\tif (importFilterAttr) {\n\t\tvar importFilter = computeAttribute(importFilterAttr, this.parser, options);\n\t\tvar parentWidget = this.parser.getVariableWidget();\n\t\tvar varHolder = options.wiki.relinkGenerateVariableWidget(importFilter, parentWidget);\n\t\tthis.parser.addWidget(varHolder);\n\t}\n\tthis.parser.pos = this.nextTag.end;\n\treturn builder.results(this.nextTag.end);\n};\n\n/** Returns the field handler for the given attribute of the given widget.\n *  If this returns undefined, it means we don't handle it. So skip.\n */\nfunction getAttributeHandler(widget, attributeName, options) {\n\tif (widget.tag === \"$macrocall\") {\n\t\tvar nameAttr = widget.attributes[\"$name\"];\n\t\tvar macro = settings.getMacros(options)[nameAttr.value];\n\t\tif (macro) {\n\t\t\treturn macro[attributeName];\n\t\t}\n\t} else {\n\t\tvar element = settings.getAttributes(options)[widget.tag];\n\t\tif (element) {\n\t\t\treturn element[attributeName];\n\t\t}\n\t}\n\treturn undefined;\n};\n\nfunction computeAttribute(attribute, parser, options) {\n\tvar value;\n\tif(attribute.type === \"filtered\") {\n\t\tvar parentWidget = parser.getVariableWidget();\n\t\tvalue = options.wiki.filterTiddlers(attribute.filter,parentWidget)[0] || \"\";\n\t} else if(attribute.type === \"indirect\") {\n\t\tvar parentWidget = parser.getVariableWidget();\n\t\tvalue = options.wiki.getTextReference(attribute.textReference,\"\",parentWidget.variables.currentTiddler.value);\n\t} else if(attribute.type === \"macro\") {\n\t\tvar parentWidget = parser.getVariableWidget();\n\t\tvalue = parentWidget.getVariable(attribute.value.name,{params: attribute.value.params});\n\t} else { // String attribute\n\t\tvalue = attribute.value;\n\t}\n\treturn value;\n};\n\nfunction canBeFilterValue(value) {\n\treturn value.indexOf(\"}}}\") < 0 && value.substr(value.length-2) !== '}}';\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/html.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/import.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles import pragmas\n\n\\import [tag[MyTiddler]]\n\\*/\n\nvar settings = require(\"$:/plugins/flibbles/relink/js/settings.js\");\nvar log = require(\"$:/plugins/flibbles/relink/js/language.js\").logRelink;\nvar filterRelinker = settings.getRelinker('filter');\n\nexports.name = \"import\";\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\t// In this one case, I'll let the parser parse out the filter and move\n\t// the ptr.\n\tvar start = this.matchRegExp.lastIndex;\n\tvar parseTree = this.parse();\n\tvar filter = parseTree[0].attributes.filter.value;\n\n\tvar extendedOptions = $tw.utils.extend({placeholder: this.parser},options);\n\tvar value = filterRelinker.relink(filter, fromTitle, toTitle, extendedOptions);\n\tvar rtn = undefined;\n\tif (value !== undefined) {\n\t\tvar message = extendedOptions.usedPlaceholder ? \"import-placeholder\" : \"import\";\n\t\tlog(message, {\n\t\t\tfrom: fromTitle,\n\t\t\tto: toTitle,\n\t\t\ttiddler: tiddler.fields.title\n\t\t}, options);\n\t\tvar newline = text.substring(start+filter.length, this.parser.pos);\n\t\tfilter = value;\n\t\trtn = \"\\\\import \" + value + newline;\n\t}\n\n\t// Before we go, we need to actually import the variables\n\t// it's calling for.\n\tvar parentWidget = this.parser.getVariableWidget();\n\tvar variableHolder = options.wiki.relinkGenerateVariableWidget(filter, parentWidget);\n\tthis.parser.addWidget(variableHolder);\n\n\treturn rtn;\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/import.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/macrocall.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles macro calls.\n\n<<myMacro '[[MyFilter]]' 'myTitle'>>\n\n\\*/\n\nvar utils = require(\"./utils.js\");\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder\");\nvar log = require('$:/plugins/flibbles/relink/js/language.js').logRelink;\nvar settings = require('$:/plugins/flibbles/relink/js/settings.js');\nvar CannotFindMacroDefError = require(\"$:/plugins/flibbles/relink/js/errors.js\").CannotFindMacroDefError;\n\nexports.name = [\"macrocallinline\", \"macrocallblock\"];\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2],\n\t\tmacroText = this.match[0];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar start = this.matchRegExp.lastIndex - this.match[0].length;\n\tvar managedMacro = settings.getMacros(options)[macroName];\n\tif (!managedMacro) {\n\t\t// We don't manage this macro. Bye.\n\t\treturn undefined;\n\t}\n\tvar offset = macroName.length+2;\n\toffset = $tw.utils.skipWhiteSpace(macroText, offset);\n\tvar params = parseParams(paramString, offset+start);\n\tvar macroInfo = {\n\t\tname: macroName,\n\t\tstart: start,\n\t\tend: this.matchRegExp.lastIndex,\n\t\tparams: params\n\t};\n\tvar results = this.relinkMacroInvocation(macroInfo, text, this.parser, fromTitle, toTitle, options);\n\tif (results) {\n\t\treturn this.macroToString(results, text, this.parser, options);\n\t} else {\n\t\treturn undefined;\n\t}\n};\n\n/**Processes the given macro,\n * macro: {name:, params:, start:, end:}\n * each parameters: {name:, end:, value:}\n * Macro invocation returned is the same, but relinked, and may have new keys:\n * parameters: {type: macro, start:, newValue: (quoted replacement value)}\n */\nexports.relinkMacroInvocation = function(macro, text, parser, fromTitle, toTitle, options) {\n\tvar managedMacro = settings.getMacros(options)[macro.name];\n\tvar modified = false;\n\tif (!managedMacro) {\n\t\t// We don't manage this macro. Bye.\n\t\treturn undefined;\n\t}\n\tif (macro.params.every(function(p) {\n\t\treturn p.value.indexOf(fromTitle) < 0;\n\t})) {\n\t\t// We cut early if the fromTitle doesn't even appear\n\t\t// anywhere in the title. This is to avoid any headache\n\t\t// about finding macro definitions (and any resulting\n\t\t// exceptions if there isn't even a title to replace.\n\t\treturn undefined;\n\t}\n\tvar outMacro = $tw.utils.extend({}, macro);\n\toutMacro.params = macro.params.slice();\n\tfor (var managedArg in managedMacro) {\n\t\tvar index = getParamIndexWithinMacrocall(macro.name, managedArg, macro.params, parser, options);\n\t\tif (index < 0) {\n\t\t\t// this arg either was not supplied, or we can't find\n\t\t\t// the definition, so we can't tie it to an anonymous\n\t\t\t// argument. Either way, move on to the next.\n\t\t\tcontinue;\n\t\t}\n\t\tvar param = macro.params[index];\n\t\tvar handler = managedMacro[managedArg];\n\t\tvar extendedOptions = $tw.utils.extend({placeholder: parser}, options);\n\t\tvar value = handler.relink(param.value, fromTitle, toTitle, extendedOptions);\n\t\tif (value === undefined) {\n\t\t\tcontinue;\n\t\t}\n\t\tvar quote = utils.determineQuote(text, param);\n\t\tvar quoted = utils.wrapAttributeValue(value, quote, ['', \"'\", '\"', '[[', '\"\"\"']);\n\t\tvar newParam = $tw.utils.extend({}, param);\n\t\tif (quoted === undefined) {\n\t\t\tvar ph = parser.getPlaceholderFor(value,handler.name);\n\t\t\tnewParam.newValue = \"<<\"+ph+\">>\";\n\t\t\tnewParam.type = \"macro\";\n\t\t} else {\n\t\t\tnewParam.start = newParam.end - (newParam.value.length + (quote.length*2));\n\t\t\tnewParam.value = value;\n\t\t\tnewParam.newValue = quoted;\n\t\t}\n\t\toutMacro.params[index] = newParam;\n\t\tmodified = true;\n\t}\n\tif (modified) {\n\t\treturn outMacro;\n\t}\n\treturn undefined;\n};\n\nexports.mustBeAWidget = function(macro) {\n\tfor (var i = 0; i < macro.params.length; i++) {\n\t\tif (macro.params[i].type === \"macro\") {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false\n};\n\n/**Given a macro object ({name:, params:, start: end:}), and the text where\n * it was parsed from, returns a new macro that maintains any syntactic\n * structuring.\n */\nexports.macroToString = function(macro, text, parser, options) {\n\tif (exports.mustBeAWidget(macro)) {\n\t\tvar names = getParamNames(macro.name, macro.params, parser, options);\n\t\tvar attrs = [];\n\t\tfor (var i = 0; i < macro.params.length; i++) {\n\t\t\tvar p = macro.params[i];\n\t\t\tvar val;\n\t\t\tif (p.newValue) {\n\t\t\t\tval = p.newValue;\n\t\t\t} else {\n\t\t\t\tval = utils.wrapAttributeValue(p.value);\n\t\t\t}\n\t\t\tattrs.push(\" \"+names[i]+\"=\"+val);\n\t\t}\n\t\treturn \"<$macrocall $name=\"+utils.wrapAttributeValue(macro.name)+attrs.join('')+\"/>\";\n\t} else {\n\t\tvar builder = new Rebuilder(text, macro.start);\n\t\tfor (var i = 0; i < macro.params.length; i++) {\n\t\t\tvar param = macro.params[i];\n\t\t\tif (param.newValue) {\n\t\t\t\tbuilder.add(param.newValue, param.start, param.end);\n\t\t\t}\n\t\t}\n\t\treturn builder.results(macro.end);\n\t}\n};\n\nfunction getParamIndexWithinMacrocall(macroName, param, params, parser, options) {\n\tvar index, i;\n\tfor (i = 0; i < params.length; i++) {\n\t\tif (params[i].name === param) {\n\t\t\treturn i;\n\t\t}\n\t}\n\tvar expectedIndex = indexOfParameterDef(macroName, param, parser, options);\n\t// We've got to skip over all the named parameter instances.\n\tif (expectedIndex >= 0) {\n\t\tvar anonI = 0;\n\t\tfor (i = 0; i < params.length; i++) {\n\t\t\tif (params[i].name === undefined) {\n\t\t\t\tif (anonI === expectedIndex) {\n\t\t\t\t\treturn i;\n\t\t\t\t}\n\t\t\t\tanonI++;\n\t\t\t} else {\n\t\t\t\tvar indexOfOther = indexOfParameterDef(macroName, params[i].name, parser, options);\n\t\t\t\tif (indexOfOther < expectedIndex) {\n\t\t\t\t\tanonI++;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn -1;\n};\n\n// Looks up the definition of a macro, and figures out what the expected index\n// is for the given parameter.\nfunction indexOfParameterDef(macroName, paramName, parser, options) {\n\tvar def = getDefinition(macroName, parser, options);\n\tvar params = def.params || [];\n\tfor (var i = 0; i < params.length; i++) {\n\t\tif (params[i].name === paramName) {\n\t\t\treturn i;\n\t\t}\n\t}\n\treturn -1;\n};\n\nfunction getParamNames(macroName, params, parser, options) {\n\tvar used = Object.create(null);\n\tvar rtn = new Array(params.length);\n\tvar anonsExist = false;\n\tvar i;\n\tfor (i = 0; i < params.length; i++) {\n\t\tvar name = params[i].name;\n\t\tif (name) {\n\t\t\trtn[i] = name;\n\t\t\tused[name] = true;\n\t\t} else {\n\t\t\tanonsExist = true;\n\t\t}\n\t}\n\tif (anonsExist) {\n\t\tvar defParams = getDefinition(macroName, parser, options).params || [];\n\t\tvar defPtr = 0;\n\t\tfor (i = 0; i < params.length; i++) {\n\t\t\tif (rtn[i] === undefined) {\n\t\t\t\twhile(defPtr < defParams.length && used[defParams[defPtr].name]) {\n\t\t\t\t\tdefPtr++;\n\t\t\t\t}\n\t\t\t\tif (defPtr >= defParams.length) {\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\trtn[i] = defParams[defPtr].name;\n\t\t\t\tused[defParams[defPtr].name] = true;\n\t\t\t}\n\t\t}\n\t}\n\treturn rtn;\n};\n\n/** Returns undefined if the definition cannot be found.\n */\nfunction getDefinition (macroName, parser, options) {\n\tvar variableContainer = parser.getVariableWidget();\n\tvar def = variableContainer.variables[macroName];\n\tif (!def) {\n\t\t// Check with the macro modules\n\t\tif ($tw.utils.hop($tw.macros, macroName)) {\n\t\t\tdef = $tw.macros[macroName];\n\t\t} else {\n\t\t\tthrow new CannotFindMacroDefError(macroName);\n\t\t}\n\t}\n\treturn def;\n};\n\nfunction parseParams(paramString, pos) {\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\t//paramInfo.start = pos;\n\t\tparamInfo.end = reParam.lastIndex + pos;\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn params;\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/macrocall.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/macrodef.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles pragma macro definitions. Except we only update placeholder macros\nthat we may have previously install.\n\n\\define relink-?() Tough title\n\n\\*/\n\nvar log = require('$:/plugins/flibbles/relink/js/language.js').logRelink;\nvar settings = require(\"$:/plugins/flibbles/relink/js/settings\");\n\nexports.name = \"macrodef\";\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\tvar setParseTreeNode = this.parse();\n\tvar parentWidget = this.parser.getVariableWidget();\n\tvar setWidget = parentWidget.makeChildWidget(setParseTreeNode[0]);\n\tsetWidget.computeAttributes();\n\tsetWidget.execute();\n\tthis.parser.addWidget(setWidget);\n\t// Parse set the pos pointer, but we don't want to skip the macro body.\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar m = this.match;\n\t// This macro is not available should we need to make one.\n\tthis.parser.reserve(m[1]);\n\t// !m[3] means it's not a multiline macrodef\n\tvar placeholder = /^relink-(?:(\\w+)-)?(\\d+)$/.exec(m[1]);\n\tif (placeholder && m[2] === '' && !m[3]) {\n\t\tthis.parser.pos = $tw.utils.skipWhiteSpace(text, this.parser.pos);\n\t\tvar valueRegExp = /([^\\n\\r]+)(\\r?\\n)/mg;\n\t\tvalueRegExp.lastIndex = this.parser.pos;\n\t\tvar match = valueRegExp.exec(text);\n\t\tif (match) {\n\t\t\tvar handler = settings.getRelinker(placeholder[1] || 'title');\n\t\t\t\t// This is a filter\n\t\t\tvar extendedOptions = $tw.utils.extend({placeholder: this.parser}, options);\n\t\t\tvar value = handler.relink(match[1], fromTitle, toTitle, extendedOptions);\n\t\t\tif (value !== undefined) {\n\t\t\t\tvar message = \"macrodef\";\n\t\t\t\tif (extendedOptions.usedPlaceholder) {\n\t\t\t\t\tmessage = \"macrodef-placeholder\";\n\t\t\t\t}\n\t\t\t\tlog(message, {\n\t\t\t\t\tfrom: fromTitle,\n\t\t\t\t\tto: toTitle,\n\t\t\t\t\ttiddler: tiddler.fields.title,\n\t\t\t\t\tmacro: m[1]\n\t\t\t\t}, options);\n\t\t\t\tthis.parser.pos += match[0].length;\n\t\t\t\treturn \"\\\\define \"+m[1]+\"() \"+value+match[2];\n\t\t\t}\n\t\t}\n\t}\n\treturn undefined;\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/macrodef.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/prettylink.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement in wiki text inline rules, like,\n\n[[Introduction]]\n\n[[link description|TiddlerTitle]]\n\n\\*/\n\nvar log = require('$:/plugins/flibbles/relink/js/language.js').logRelink;\nvar utils = require(\"./utils.js\");\n\nexports.name = \"prettylink\";\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar caption, quoted, m = this.match;\n\tif (m[2] === fromTitle) {\n\t\t// format is [[caption|MyTiddler]]\n\t\tcaption = m[1];\n\t} else if (m[2] !== undefined || m[1] !== fromTitle) {\n\t\t// format is [[MyTiddler]], and it doesn't match\n\t\treturn undefined;\n\t}\n\tvar logArguments = {\n\t\tfrom: fromTitle,\n\t\tto: toTitle,\n\t\ttiddler: tiddler.fields.title\n\t};\n\tif (utils.canBePretty(toTitle)) {\n\t\tlog(\"prettylink\", logArguments, options);\n\t\treturn prettyLink(toTitle, caption);\n\t} else if (caption === undefined) {\n\t\t// If we don't have a caption, we have to resort to placeholders\n\t\t// anyway to prevent link/caption desync from later relinks.\n\t\t// It doesn't matter whether the toTitle is quotable\n\t\tlog(\"prettylink-placeholder\", logArguments, options);\n\t\tvar ph = this.parser.getPlaceholderFor(toTitle);\n\t\treturn \"<$link to=<<\"+ph+\">>><$text text=<<\"+ph+\">>/></$link>\";\n\t} else if (quoted = utils.wrapAttributeValue(toTitle)) {\n\t\tlog(\"prettylink-widget\", logArguments, options);\n\t\treturn \"<$link to=\"+quoted+\">\"+caption+\"</$link>\";\n\t} else {\n\t\tlog(\"prettylink-placeholder\", logArguments, options);\n\t\tvar ph = this.parser.getPlaceholderFor(toTitle);\n\t\treturn \"<$link to=<<\"+ph+\">>>\"+caption+\"</$link>\";\n\t}\n};\n\nfunction prettyLink(title, caption) {\n\tif (caption) {\n\t\treturn \"[[\" + caption + \"|\" + title + \"]]\";\n\t} else {\n\t\treturn \"[[\" + title + \"]]\";\n\t}\n};\n\nfunction isSafe(value) {\n\treturn value.indexOf(\"]]\") < 0 && value[value.length-1] !== ']';\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/prettylink.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/rules.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nParses and acknowledges any pragma rules a tiddler has.\n\n\\rules except html wikilink\n\n\\*/\n\nexports.name = \"rules\";\n\n/**This is all we have to do. The rules rule doesn't parse. It just amends\n * the rules, which is exactly what I want it to do too.\n * It also takes care of moving the pos pointer forward.\n */\nexports.relink = function() { this.parse(); };\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/rules.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/transclude.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement of transclusions in wiki text like,\n\n{{RenamedTiddler}}\n{{RenamedTiddler||TemplateTitle}}\n\nThis renames both the tiddler and the template field.\n\n\\*/\n\nvar log = require('$:/plugins/flibbles/relink/js/language.js').logRelink;\nvar refHandler = require(\"$:/plugins/flibbles/relink/js/fieldtypes/reference\");\nvar utils = require(\"./utils.js\");\n\nexports.name = ['transcludeinline', 'transcludeblock'];\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\tvar m = this.match,\n\t\treference = m[1],\n\t\ttemplate = m[2],\n\t\tquoted,\n\t\tlogArguments = {\n\t\t\tfrom: fromTitle,\n\t\t\tto: toTitle,\n\t\t\ttiddler: tiddler.fields.title\n\t\t};\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar trimmedRef = $tw.utils.trim(reference);\n\tvar ref = $tw.utils.parseTextReference(trimmedRef);\n\t// This block takes care of 99% of all cases\n\tif (canBePrettyTemplate(toTitle) &&\n\t\t// title part has one extra restriction\n\t    (ref.title !== fromTitle || refHandler.canBePretty(toTitle))) {\n\t\tvar modified = false;\n\t\tif (ref.title === fromTitle) {\n\t\t\tmodified = true;\n\t\t\tref.title = toTitle;\n\t\t\tvar refString = refHandler.toString(ref);\n\t\t\t// preserve user's whitespace\n\t\t\treference = reference.replace(trimmedRef, refString);\n\t\t}\n\t\tif ($tw.utils.trim(template) === fromTitle) {\n\t\t\tmodified = true;\n\t\t\t// preserve user's whitespace\n\t\t\ttemplate = template.replace(fromTitle, toTitle);\n\t\t}\n\t\tif (modified) {\n\t\t\tlog(\"transclude\", logArguments, options);\n\t\t\treturn prettyTransclude(reference, template);\n\t\t}\n\t\treturn undefined;\n\t}\n\t// Now for the 1%...\n\tif (ref.title === fromTitle) {\n\t\tvar resultTitle = utils.wrapAttributeValue(toTitle);\n\t\tif (resultTitle === undefined) {\n\t\t\tresultTitle = \"<<\"+this.parser.getPlaceholderFor(toTitle)+\">>\";\n\t\t\tlog(\"transclude-placeholder\", logArguments, options);\n\t\t} else {\n\t\t\tlog(\"transclude-widget\", logArguments, options);\n\t\t}\n\t\tif ($tw.utils.trim(template) === fromTitle) {\n\t\t\t// Now for this bizarre-ass use-case, where both the\n\t\t\t// title and template are being replaced.\n\t\t\tvar attrs = this.transcludeAttributes(ref.field, ref.index);\n\t\t\treturn \"<$tiddler tiddler=\"+resultTitle+\"><$transclude tiddler=\"+resultTitle+attrs+\"/></$tiddler>\";\n\t\t} else {\n\t\t\tref.title = undefined;\n\t\t\treturn \"<$tiddler tiddler=\"+resultTitle+\">\"+prettyTransclude(ref, template)+\"</$tiddler>\";\n\t\t}\n\t}\n\tif ($tw.utils.trim(template) === fromTitle) {\n\t\tvar resultTemplate = utils.wrapAttributeValue(toTitle);\n\t\tvar message = \"transclude-widget\";\n\t\tvar rtn;\n\t\tif (resultTemplate === undefined) {\n\t\t\tresultTemplate = \"<<\"+this.parser.getPlaceholderFor(toTitle)+\">>\";\n\t\t\tmessage = \"transclude-placeholder\";\n\t\t}\n\t\tif (ref.title) {\n\t\t\tvar resultTitle = utils.wrapAttributeValue(ref.title);\n\t\t\tif (resultTitle === undefined) {\n\t\t\t\t// This is one of the rare cases were we need\n\t\t\t\t// to placeholder a title OTHER than the one\n\t\t\t\t// we're changing.\n\t\t\t\tresultTitle = \"<<\"+this.parser.getPlaceholderFor(ref.title)+\">>\";\n\t\t\t\tmessage = \"transclude-placeholder\";\n\t\t\t}\n\t\t\tvar attrs = this.transcludeAttributes(ref.field, ref.index);\n\t\t\trtn = \"<$tiddler tiddler=\"+resultTitle+\"><$transclude tiddler=\"+resultTemplate+attrs+\"/></$tiddler>\";\n\t\t} else {\n\t\t\trtn = \"<$transclude tiddler=\"+resultTemplate+\"/>\";\n\t\t}\n\t\tlog(message, logArguments, options);\n\t\treturn rtn;\n\t}\n\treturn undefined;\n};\n\nfunction canBePrettyTemplate(value) {\n\treturn value.indexOf('}') < 0 && value.indexOf('{') < 0 && value.indexOf('|') < 0;\n};\n\n/**Returns attributes for a transclude widget.\n * only field or index should be used, not both, but both will return\n * the intuitive (albeit useless) result.\n */\nexports.transcludeAttributes = function(field, index) {\n\treturn rtn = [\n\t\twrapAttribute(this.parser, \"field\", field),\n\t\twrapAttribute(this.parser, \"index\", index)\n\t].join('');\n};\n\nfunction wrapAttribute(wikiRelinker, name, value) {\n\tif (value) {\n\t\tvar wrappedValue = utils.wrapAttributeValue(value);\n\t\tif (wrappedValue === undefined) {\n\t\t\twrappedValue = \"<<\"+wikiRelinker.getPlaceholderFor(value, name)+\">>\";\n\t\t}\n\t\treturn \" \"+name+\"=\"+wrappedValue;\n\t}\n\treturn '';\n};\n\nfunction prettyTransclude(textReference, template) {\n\tif (typeof textReference !== \"string\") {\n\t\ttextReference = refHandler.toString(textReference);\n\t}\n\tif (!textReference) {\n\t\ttextReference = '';\n\t}\n\tif (template !== undefined) {\n\t\treturn \"{{\"+textReference+\"||\"+template+\"}}\";\n\t} else {\n\t\treturn \"{{\"+textReference+\"}}\";\n\t}\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/transclude.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/utils.js": {
            "text": "/*\\\nmodule-type: library\n\nUtility methods for the wikitext relink rules.\n\n\\*/\n\n/**Finds an appropriate quote mark for a given value.\n *\n *Tiddlywiki doesn't have escape characters for attribute values. Instead,\n * we just have to find the type of quotes that'll work for the given title.\n * There exist titles that simply can't be quoted.\n * If it can stick with the preference, it will.\n *\n * return: Returns the wrapped value, or undefined if it's impossible to wrap\n */\nexports.wrapAttributeValue = function(value, preference, whitelist) {\n\twhitelist = whitelist || [\"\", \"'\", '\"', '\"\"\"'];\n\tvar choices = {\n\t\t\"\": function(v) {return !/([\\/\\s<>\"'=])/.test(v); },\n\t\t\"'\": function(v) {return v.indexOf(\"'\") < 0; },\n\t\t'\"': function(v) {return v.indexOf('\"') < 0; },\n\t\t'\"\"\"': function(v) {return v.indexOf('\"\"\"') < 0 && v[v.length-1] != '\"';},\n\t\t\"[[\": exports.canBePrettyOperand\n\t};\n\tvar wrappers = {\n\t\t\"\": function(v) {return v; },\n\t\t\"'\": function(v) {return \"'\"+v+\"'\"; },\n\t\t'\"': function(v) {return '\"'+v+'\"'; },\n\t\t'\"\"\"': function(v) {return '\"\"\"'+v+'\"\"\"'; },\n\t\t\"[[\": function(v) {return \"[[\"+v+\"]]\"; }\n\t};\n\tif (choices[preference]) {\n\t\tif (choices[preference](value)) {\n\t\t\treturn wrappers[preference](value);\n\t\t}\n\t}\n\tfor (var i = 0; i < whitelist.length; i++) {\n\t\tvar quote = whitelist[i];\n\t\tif (choices[quote](value)) {\n\t\t\treturn wrappers[quote](value);\n\t\t}\n\t}\n\t// No quotes will work on this\n\treturn undefined;\n};\n\n/**Return true if value can be used inside a prettylink.\n */\nexports.canBePretty = function(value) {\n\treturn value.indexOf(\"]]\") < 0 && value[value.length-1] !== ']';\n};\n\nexports.canBePrettyOperand = function(value) {\n\treturn value.indexOf(']') < 0;\n};\n\n/**Given some text, and a param or  attribute within that text, this returns\n * what type of quotation that attribute is using.\n *\n * param: An object in the form {end:, ...}\n */\nexports.determineQuote = function(text, param) {\n\tvar pos = param.end-1;\n\tif (text[pos] === \"'\") {\n\t\treturn \"'\";\n\t}\n\tif (text[pos] === '\"') {\n\t\tif (text.substr(pos-2, 3) === '\"\"\"') {\n\t\t\treturn '\"\"\"';\n\t\t} else {\n\t\t\treturn '\"';\n\t\t}\n\t}\n\tif (text.substr(pos-1,2) === ']]' && text.substr((pos-param.value.length)-3, 2) === '[[') {\n\t\treturn \"[[\";\n\t}\n\treturn '';\n};\n",
            "module-type": "library",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/utils.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/wikilink.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles CamelCase links\n\nWikiLink\n\nbut not:\n\n~WikiLink\n\n\\*/\n\nvar log = require('$:/plugins/flibbles/relink/js/language.js').logRelink;\nvar utils = require(\"./utils.js\");\n\nexports.name = \"wikilink\";\n\nexports.relink = function(tiddler, text, fromTitle, toTitle, options) {\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tif (this.match[0] === fromTitle && this.match[0][0] !== '~') {\n\t\tvar logArguments = {\n\t\t\tfrom: fromTitle,\n\t\t\tto: toTitle,\n\t\t\ttiddler: tiddler.fields.title\n\t\t};\n\t\tif (toTitle.match(this.matchRegExp) && toTitle[0] !== '~') {\n\t\t\tlog(\"wikilink\", logArguments, options);\n\t\t\treturn toTitle;\n\t\t} else if (utils.canBePretty(toTitle)) {\n\t\t\tlog(\"wikilink-pretty\", logArguments, options);\n\t\t\treturn \"[[\" + toTitle + \"]]\";\n\t\t} else {\n\t\t\tvar ph = this.parser.getPlaceholderFor(toTitle);\n\t\t\tlog(\"wikilink-placeholder\", logArguments, options);\n\t\t\treturn \"<$link to=<<\"+ph+\">>><$text text=<<\"+ph+\">>/></$link>\";\n\t\t}\n\t}\n\treturn undefined;\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/wikilink.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/utils/rebuilder.js": {
            "text": "/*\\\n\nThis helper class aids in reconstructing an existing string with new parts.\n\n\\*/\n\nfunction Rebuilder(text, start) {\n\tthis.text = text;\n\tthis.index = start || 0;\n\tthis.pieces = [];\n};\n\nmodule.exports = Rebuilder;\n\n/**Pieces must be added consecutively.\n * Start and end are the indices in the old string specifying where to graft\n * in the new piece.\n */\nRebuilder.prototype.add = function(value, start, end) {\n\tthis.pieces.push(this.text.substring(this.index, start), value);\n\tthis.index = end;\n};\n\nRebuilder.prototype.changed = function() {\n\treturn this.pieces.length > 0;\n};\n\n/** This sticks something on the beginning of the resulting content.\n */\nRebuilder.prototype.prepend = function(content) {\n\tif (content) {\n\t\tthis.pieces.unshift(content);\n\t}\n};\n\nRebuilder.prototype.results = function(end) {\n\tif (this.changed()) {\n\t\tthis.pieces.push(this.text.substring(this.index, end));\n\t\treturn this.pieces.join('');\n\t}\n\treturn undefined;\n};\n",
            "module-type": "library",
            "title": "$:/plugins/flibbles/relink/js/utils/rebuilder.js",
            "type": "application/javascript"
        },
        "$:/config/flibbles/relink/attributes/$button/to": {
            "title": "$:/config/flibbles/relink/attributes/$button/to",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$checkbox/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$checkbox/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$checkbox/tag": {
            "title": "$:/config/flibbles/relink/attributes/$checkbox/tag",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$count/filter": {
            "title": "$:/config/flibbles/relink/attributes/$count/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/attributes/$draggable/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$draggable/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$draggable/filter": {
            "title": "$:/config/flibbles/relink/attributes/$draggable/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/attributes/$edit-bitmap/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$edit-bitmap/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$edit-text/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$edit-text/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$edit/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$edit/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$encrypt/filter": {
            "title": "$:/config/flibbles/relink/attributes/$encrypt/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/attributes/$fieldmangler/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$fieldmangler/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$fields/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$fields/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$image/source": {
            "title": "$:/config/flibbles/relink/attributes/$image/source",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$importvariables/filter": {
            "title": "$:/config/flibbles/relink/attributes/$importvariables/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/attributes/$linkcatcher/to": {
            "title": "$:/config/flibbles/relink/attributes/$linkcatcher/to",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$linkcatcher/set": {
            "title": "$:/config/flibbles/relink/attributes/$linkcatcher/set",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$link/to": {
            "title": "$:/config/flibbles/relink/attributes/$link/to",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$list/filter": {
            "title": "$:/config/flibbles/relink/attributes/$list/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/attributes/$list/template": {
            "title": "$:/config/flibbles/relink/attributes/$list/template",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$list/editTemplate": {
            "title": "$:/config/flibbles/relink/attributes/$list/editTemplate",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$list/history": {
            "title": "$:/config/flibbles/relink/attributes/$list/history",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$navigator/story": {
            "title": "$:/config/flibbles/relink/attributes/$navigator/story",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$navigator/history": {
            "title": "$:/config/flibbles/relink/attributes/$navigator/history",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$radio/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$radio/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$range/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$range/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$reveal/stateTitle": {
            "title": "$:/config/flibbles/relink/attributes/$reveal/stateTitle",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$select/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$select/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$setvariable/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$setvariable/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$setvariable/subtiddler": {
            "title": "$:/config/flibbles/relink/attributes/$setvariable/subtiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$setvariable/filter": {
            "title": "$:/config/flibbles/relink/attributes/$setvariable/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/attributes/$set/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$set/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$set/subtiddler": {
            "title": "$:/config/flibbles/relink/attributes/$set/subtiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$set/filter": {
            "title": "$:/config/flibbles/relink/attributes/$set/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/attributes/$tiddler/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$tiddler/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$transclude/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$transclude/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$transclude/subtiddler": {
            "title": "$:/config/flibbles/relink/attributes/$transclude/subtiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$view/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$view/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$view/subtiddler": {
            "title": "$:/config/flibbles/relink/attributes/$view/subtiddler",
            "text": "title"
        },
        "$:/plugins/flibbles/relink/configuration": {
            "title": "$:/plugins/flibbles/relink/configuration",
            "text": "<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/flibbles/relink/Configuration]!has[draft.of]]\" \"$:/plugins/flibbles/relink/ui/configuration/Fields\">>\n</div>\n"
        },
        "$:/config/flibbles/relink/fields/list": {
            "title": "$:/config/flibbles/relink/fields/list",
            "text": "list"
        },
        "$:/config/flibbles/relink/fields/list-after": {
            "title": "$:/config/flibbles/relink/fields/list-after",
            "text": "title"
        },
        "$:/config/flibbles/relink/fields/list-before": {
            "title": "$:/config/flibbles/relink/fields/list-before",
            "text": "title"
        },
        "$:/config/flibbles/relink/fields/tags": {
            "title": "$:/config/flibbles/relink/fields/tags",
            "text": "list"
        },
        "$:/plugins/flibbles/relink/language/Buttons/Delete/Caption": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/Delete/Caption",
            "text": "delete"
        },
        "$:/plugins/flibbles/relink/language/Buttons/NewAttribute/Hint": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/NewAttribute/Hint",
            "text": "Specify a new widget/element attribute to be updated whenever a tiddler is renamed"
        },
        "$:/plugins/flibbles/relink/language/Buttons/NewAttribute/Caption": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/NewAttribute/Caption",
            "text": "add"
        },
        "$:/plugins/flibbles/relink/language/Buttons/NewField/Hint": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/NewField/Hint",
            "text": "Specify a new field to be updated whenever a tiddler is renamed"
        },
        "$:/plugins/flibbles/relink/language/Buttons/NewField/Caption": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/NewField/Caption",
            "text": "add"
        },
        "$:/plugins/flibbles/relink/language/Buttons/NewOperator/Hint": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/NewOperator/Hint",
            "text": "Specify a new filter operator to be considered whenever a tiddler is renamed"
        },
        "$:/plugins/flibbles/relink/language/Buttons/NewOperator/Caption": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/NewOperator/Caption",
            "text": "add"
        },
        "$:/plugins/flibbles/relink/language/Buttons/NewParameter/Hint": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/NewParameter/Hint",
            "text": "Specify a new macro parameter to be updated whenever a tiddler is renamed"
        },
        "$:/plugins/flibbles/relink/language/Buttons/NewParameter/Caption": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/NewParameter/Caption",
            "text": "add"
        },
        "$:/plugins/flibbles/relink/language/Error/RelinkFilterOperator": {
            "title": "$:/plugins/flibbles/relink/language/Error/RelinkFilterOperator",
            "text": "Filter Error: Unknown suffix for the 'relink' filter operator"
        },
        "$:/plugins/flibbles/relink/language/Help/Attributes": {
            "title": "$:/plugins/flibbles/relink/language/Help/Attributes",
            "text": "See the [[Attributes documentation page|https://flibbles.github.io/tw5-relink/#Attributes]] for details."
        },
        "$:/plugins/flibbles/relink/language/Help/Fields": {
            "title": "$:/plugins/flibbles/relink/language/Help/Fields",
            "text": "See the [[Fields documentation page|https://flibbles.github.io/tw5-relink/#Fields]] for details."
        },
        "$:/plugins/flibbles/relink/language/Help/Macros": {
            "title": "$:/plugins/flibbles/relink/language/Help/Macros",
            "text": "See the [[Macros documentation page|https://flibbles.github.io/tw5-relink/#Macros]] for details."
        },
        "$:/plugins/flibbles/relink/language/Help/Operators": {
            "title": "$:/plugins/flibbles/relink/language/Help/Operators",
            "text": "See the [[Operators documentation page|https://flibbles.github.io/tw5-relink/#Operators]] for details."
        },
        "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Empty": {
            "title": "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Empty",
            "text": "No tiddlers contain any fields, links, macros, transclusions, or widgets referencing this one"
        },
        "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Description": {
            "title": "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Description",
            "text": "The following tiddlers contain fields, links, macros, transclusions, or widgets referencing this one:"
        },
        "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Caption": {
            "title": "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Caption",
            "text": "//Relink// References"
        },
        "$:/plugins/flibbles/relink/language/ui/Attributes/Caption": {
            "title": "$:/plugins/flibbles/relink/language/ui/Attributes/Caption",
            "text": "Attributes"
        },
        "$:/plugins/flibbles/relink/language/ui/Fields/Caption": {
            "title": "$:/plugins/flibbles/relink/language/ui/Fields/Caption",
            "text": "Fields"
        },
        "$:/plugins/flibbles/relink/language/ui/Macros/Caption": {
            "title": "$:/plugins/flibbles/relink/language/ui/Macros/Caption",
            "text": "Macros"
        },
        "$:/plugins/flibbles/relink/language/ui/Operators/Caption": {
            "title": "$:/plugins/flibbles/relink/language/ui/Operators/Caption",
            "text": "Operators"
        },
        "$:/config/flibbles/relink/macros/csvtiddlers/filter": {
            "title": "$:/config/flibbles/relink/macros/csvtiddlers/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/macros/datauri/title": {
            "title": "$:/config/flibbles/relink/macros/datauri/title",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/jsontiddler/title": {
            "title": "$:/config/flibbles/relink/macros/jsontiddler/title",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/jsontiddlers/filter": {
            "title": "$:/config/flibbles/relink/macros/jsontiddlers/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/macros/list-links/filter": {
            "title": "$:/config/flibbles/relink/macros/list-links/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/macros/list-links-draggable/tiddler": {
            "title": "$:/config/flibbles/relink/macros/list-links-draggable/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/list-links-draggable/itemTemplate": {
            "title": "$:/config/flibbles/relink/macros/list-links-draggable/itemTemplate",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/list-tagged-draggable/tag": {
            "title": "$:/config/flibbles/relink/macros/list-tagged-draggable/tag",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/list-tagged-draggable/itemTemplate": {
            "title": "$:/config/flibbles/relink/macros/list-tagged-draggable/itemTemplate",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/toc/tag": {
            "title": "$:/config/flibbles/relink/macros/toc/tag",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/toc/selectedTiddler": {
            "title": "$:/config/flibbles/relink/macros/toc/selectedTiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/toc/template": {
            "title": "$:/config/flibbles/relink/macros/toc/template",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/tabs/buttonTemplate": {
            "title": "$:/config/flibbles/relink/macros/tabs/buttonTemplate",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/tabs/default": {
            "title": "$:/config/flibbles/relink/macros/tabs/default",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/tabs/tabsList": {
            "title": "$:/config/flibbles/relink/macros/tabs/tabsList",
            "text": "filter"
        },
        "$:/config/flibbles/relink/macros/tabs/template": {
            "title": "$:/config/flibbles/relink/macros/tabs/template",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/tag/tag": {
            "title": "$:/config/flibbles/relink/macros/tag/tag",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/tag-pill/tag": {
            "title": "$:/config/flibbles/relink/macros/tag-pill/tag",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/timeline/subfilter": {
            "title": "$:/config/flibbles/relink/macros/timeline/subfilter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/operators/list": {
            "title": "$:/config/flibbles/relink/operators/list",
            "text": "reference"
        },
        "$:/config/flibbles/relink/operators/tag": {
            "title": "$:/config/flibbles/relink/operators/tag",
            "text": "title"
        },
        "$:/config/flibbles/relink/operators/title": {
            "title": "$:/config/flibbles/relink/operators/title",
            "text": "title"
        },
        "$:/config/flibbles/relink/operators/field:title": {
            "title": "$:/config/flibbles/relink/operators/field:title",
            "text": "title"
        },
        "$:/language/EditTemplate/Title/Impossibles/Prompt": {
            "title": "$:/language/EditTemplate/Title/Impossibles/Prompt",
            "text": "The following references to this tiddler can ''not'' be updated by //Relink// due to the complexity of the new title:"
        },
        "$:/language/EditTemplate/Title/References/Prompt": {
            "title": "$:/language/EditTemplate/Title/References/Prompt",
            "text": "The following tiddlers will be updated if relinking:"
        },
        "$:/language/EditTemplate/Title/Relink/Prompt": {
            "title": "$:/language/EditTemplate/Title/Relink/Prompt",
            "text": "Use //Relink// to update ''<$text text=<<fromTitle>>/>'' to ''<$text text=<<toTitle>>/>'' across all other tiddlers"
        },
        "$:/core/ui/EditTemplate/title": {
            "title": "$:/core/ui/EditTemplate/title",
            "tags": "$:/tags/EditTemplate",
            "text": "\\define conditional-list(state, prompt, filter)\n<$list filter=\"[subfilter<__filter__>limit[1]]\" variable=\"listItem\">\n\n<$vars stateTiddler=<<qualify \"$:/state/edit/$state$\">> >\n\n<$reveal type=\"nomatch\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"show\" class=\"tc-btn-invisible\">{{$:/core/images/right-arrow}}\n<<lingo [[$prompt$]]>></$button>\n</$reveal>\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"hide\" class=\"tc-btn-invisible\">{{$:/core/images/down-arrow}}\n<<lingo [[$prompt$]]>></$button>\n</$reveal>\n\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$list filter=<<__filter__>> template=\"$:/core/ui/ListItemTemplate\">\n</$list>\n</$reveal>\n\n</$vars>\n\\end\n\n<$edit-text field=\"draft.title\" class=\"tc-titlebar tc-edit-texteditor\" focus=\"true\" tabindex={{$:/config/EditTabIndex}}/>\n\n<$reveal state=\"!!draft.title\" type=\"nomatch\" text={{!!draft.of}} tag=\"div\">\n\n<$list filter=\"[{!!draft.title}!is[missing]]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/Exists/Prompt}}\n\n</div>\n\n</$list>\n\n<$list filter=\"[{!!draft.of}!is[missing]]\" variable=\"listItem\">\n\n<$vars fromTitle={{!!draft.of}} toTitle={{!!draft.title}}>\n\n<$checkbox tiddler=\"$:/config/RelinkOnRename\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> {{$:/language/EditTemplate/Title/Relink/Prompt}}</$checkbox>\n\n<<conditional-list impossibles EditTemplate/Title/Impossibles/Prompt \"[{!!draft.title}relink:impossible<fromTitle>]\">>\n\n<<conditional-list references EditTemplate/Title/References/Prompt \"[relink:references<fromTitle>!title[$:/StoryList]sort[title]]\">>\n\n</$vars>\n\n</$list>\n\n</$reveal>\n"
        },
        "$:/plugins/flibbles/relink/readme": {
            "title": "$:/plugins/flibbles/relink/readme",
            "type": "text/vnd.tiddlywiki",
            "text": "When renaming a tiddler, Relink can update the fields, filters, and widgets\nof all other tiddlers. However, it works through whitelisting.\n\nIt's already configured to update tiddler titles for all core widgets, filters,\nand fields, but the whitelists can be customized for each of this in the\nconfiguration panel.\n\nSee [[the tw5-relink website|https://github.com/flibbles/tw5-relink]] for\nmore details and examples.\n"
        },
        "$:/config/flibbles/relink/settings/default-type": {
            "title": "$:/config/flibbles/relink/settings/default-type",
            "text": "title"
        },
        "$:/plugins/flibbles/relink/ui/TiddlerInfo/References": {
            "title": "$:/plugins/flibbles/relink/ui/TiddlerInfo/References",
            "caption": "{{$:/plugins/flibbles/relink/language/TiddlerInfo/References/Caption}}",
            "tags": "$:/tags/TiddlerInfo",
            "text": "\\define lingo-base() $:/plugins/flibbles/relink/language/TiddlerInfo/\n\\define filter() [relink:references<currentTiddler>!title[$:/StoryList]sort[title]]\n<$list filter=\"[subfilter<filter>first[]]\">\n\n<<lingo References/Description>>\n</$list>\n\n<$list filter=<<filter>> emptyMessage=<<lingo References/Empty>> template=\"$:/core/ui/ListItemTemplate\">\n"
        },
        "$:/plugins/flibbles/relink/ui/components/button-delete": {
            "title": "$:/plugins/flibbles/relink/ui/components/button-delete",
            "text": "\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\n<$button class=\"tc-btn-invisible\"><$list filter=\"[all[current]is[tiddler]]\">\n<$action-deletetiddler $tiddler=<<currentTiddler>> />\n</$list><$list filter=\"[all[current]is[shadow]]\">\n<$action-setfield $tiddler=<<tiddlerName>> text=\"\" />\n</$list>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">{{$:/core/images/delete-button}}</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$(lingo-base)$Delete/Caption}}/></span>\n</$list></$button>\n"
        },
        "$:/plugins/flibbles/relink/ui/components/select-fieldtype": {
            "title": "$:/plugins/flibbles/relink/ui/components/select-fieldtype",
            "text": "<$select tiddler=<<currentTiddler>> default={{$:/config/flibbles/relinke/settings/default-type}} >\n<$list variable=\"option\"\n       filter=\"[[relinkfieldtype]modules[]removeprefix[$:/plugins/flibbles/relink/js/fieldtypes/]removesuffix[.js]move:-100{$:/config/flibbles/relink/settings/default-type}]\">\n<option><$text text=<<option>> /></option>\n</$list>\n</$select>\n"
        },
        "$:/plugins/flibbles/relink/ui/configuration/Attributes": {
            "title": "$:/plugins/flibbles/relink/ui/configuration/Attributes",
            "caption": "{{$:/plugins/flibbles/relink/language/ui/Attributes/Caption}}",
            "tags": "$:/tags/flibbles/relink/Configuration",
            "text": "\\define prefix-attr() $:/config/flibbles/relink/attributes/\n\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define state-base() $:/state/flibbles/relink/\n\n\\define body()\n\n{{$:/plugins/flibbles/relink/language/Help/Attributes}}\n\n<table><tbody>\n<tr><th>Widget/HTML Element</th><th>Attribute</th><th>Type</th><th>Delete</th></tr>\n<$list filter=\"[all[shadows+tiddlers]prefix<prefix-attr>!has[draft.of]has[text]]\">\n<$set name=\"element\"\n      filter=\"[all[current]removeprefix<prefix-attr>splitbefore[/]removesuffix[/]]\">\n<$set name=\"attribute\"\n      filter=\"[all[current]removeprefix<prefix-attr>removeprefix<element>removeprefix[/]]\">\n<tr>\n<td><$text text=<<element>> /></td>\n<td><$text text=<<attribute>> /></td>\n<td>{{||$:/plugins/flibbles/relink/ui/components/select-fieldtype}}</td>\n<td>{{||$:/plugins/flibbles/relink/ui/components/button-delete}}</td>\n</tr>\n</$set></$set></$list>\n</tbody></table>\n\n<em class=\"tc-edit\">Add a new attribute:</em>\n<$edit-text tiddler=\"$(state-base)$element-name\"\n            tag=\"input\" default=\"\" placeholder=\"widget/element\" />\n<$edit-text tiddler=\"$(state-base)$attribute-name\"\n            tag=\"input\" default=\"\" placeholder=\"attribute\" />\n<$button tooltip={{$(lingo-base)$NewAttribute/Hint}}\n         aria-label={{$(lingo-base)$NewAttribute/Caption}}>\n<$set name=\"tiddlerName\"\n      filter=\"[<prefix-attr>addsuffix{$(state-base)$element-name}addsuffix[/]addsuffix{$(state-base)$attribute-name}]\">\n<$action-setfield $tiddler=<<tiddlerName>>\n                  text={{$:/config/flibbles/relink/settings/default-type}} />\n</$set>\n<$action-deletetiddler $tiddler=\"$(state-base)$attribute-name\" />\n<$action-deletetiddler $tiddler=\"$(state-base)$element-name\" />\n<$text text={{$(lingo-base)$NewAttribute/Caption}}/>\n</$button>\n\\end\n\n<<body>>\n"
        },
        "$:/plugins/flibbles/relink/ui/configuration/Fields": {
            "title": "$:/plugins/flibbles/relink/ui/configuration/Fields",
            "caption": "{{$:/plugins/flibbles/relink/language/ui/Fields/Caption}}",
            "tags": "$:/tags/flibbles/relink/Configuration",
            "text": "\\define prefix-fields() $:/config/flibbles/relink/fields/\n\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define state-base() $:/state/flibbles/relink/\n\n\\define body()\n\n{{$:/plugins/flibbles/relink/language/Help/Fields}}\n\n<table><tbody>\n<tr><th>Field Name</th><th>Field Type</th><th>Delete</th></tr>\n<$list filter=\"[all[shadows+tiddlers]prefix<prefix-fields>!has[draft.of]has[text]]\">\n<tr>\n<td><$list filter=\"[all[current]removeprefix<prefix-fields>]\"><<currentTiddler>></$list></td>\n<td>{{||$:/plugins/flibbles/relink/ui/components/select-fieldtype}}</td>\n<td>{{||$:/plugins/flibbles/relink/ui/components/button-delete}}</td>\n</tr>\n</$list>\n</tbody></table>\n\n<em class=\"tc-edit\">Add a new field:</em>\n<$edit-text tiddler=\"$(state-base)$field-name\"\n            tag=\"input\" default=\"\" placeholder=\"field name\" />\n<$button tooltip={{$(lingo-base)$NewField/Hint}}\n         aria-label={{$(lingo-base)$NewField/Caption}}>\n<$set name=\"tiddlerName\"\n      filter=\"[<prefix-fields>addsuffix{$(state-base)$field-name}]\">\n<$action-setfield $tiddler=<<tiddlerName>>\n                  text={{$:/config/flibbles/relink/settings/default-type}} />\n</$set>\n<$action-deletetiddler $tiddler=\"$(state-base)$field-name\" />\n<$text text={{$(lingo-base)$NewField/Caption}}/>\n</$button>\n\\end\n\n<<body>>\n"
        },
        "$:/plugins/flibbles/relink/ui/configuration/Macros": {
            "title": "$:/plugins/flibbles/relink/ui/configuration/Macros",
            "caption": "{{$:/plugins/flibbles/relink/language/ui/Macros/Caption}}",
            "tags": "$:/tags/flibbles/relink/Configuration",
            "text": "\\define prefix-macro() $:/config/flibbles/relink/macros/\n\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define state-base() $:/state/flibbles/relink/\n\n\\define body()\n\n{{$:/plugins/flibbles/relink/language/Help/Macros}}\n\n<table><tbody>\n<tr><th>Macro</th><th>Parameter</th><th>Type</th><th>Delete</th></tr>\n<$list filter=\"[all[shadows+tiddlers]prefix<prefix-macro>!has[draft.of]has[text]]\">\n<$set name=\"parameter\"\n      filter=\"[all[current]removeprefix<prefix-macro>relink:splitafter[/]]\">\n<$set name=\"macro\"\n      filter=\"[all[current]removeprefix<prefix-macro>removesuffix<parameter>removesuffix[/]]\">\n<tr>\n<td><$text text=<<macro>> /></td>\n<td><$text text=<<parameter>> /></td>\n<td>{{||$:/plugins/flibbles/relink/ui/components/select-fieldtype}}</td>\n<td>{{||$:/plugins/flibbles/relink/ui/components/button-delete}}</td>\n</tr>\n</$set></$set></$list>\n</tbody></table>\n\n<em class=\"tc-edit\">Add a new macro parameter:</em>\n<$edit-text tiddler=\"$(state-base)$macro-name\"\n            tag=\"input\" default=\"\" placeholder=\"macro\" />\n<$edit-text tiddler=\"$(state-base)$parameter-name\"\n            tag=\"input\" default=\"\" placeholder=\"parameter\" />\n<$button tooltip={{$(lingo-base)$NewParameter/Hint}}\n         aria-label={{$(lingo-base)$NewParameter/Caption}}>\n<$set name=\"tiddlerName\"\n      filter=\"[<prefix-macro>addsuffix{$(state-base)$macro-name}addsuffix[/]addsuffix{$(state-base)$parameter-name}]\">\n<$action-setfield $tiddler=<<tiddlerName>>\n                  text={{$:/config/flibbles/relink/settings/default-type}} />\n</$set>\n<$action-deletetiddler $tiddler=\"$(state-base)$parameter-name\" />\n<$action-deletetiddler $tiddler=\"$(state-base)$macro-name\" />\n<$text text={{$(lingo-base)$NewParameter/Caption}}/>\n</$button>\n\\end\n\n<<body>>\n"
        },
        "$:/plugins/flibbles/relink/ui/configuration/Operators": {
            "title": "$:/plugins/flibbles/relink/ui/configuration/Operators",
            "caption": "{{$:/plugins/flibbles/relink/language/ui/Operators/Caption}}",
            "tags": "$:/tags/flibbles/relink/Configuration",
            "text": "\\define prefix-ops() $:/config/flibbles/relink/operators/\n\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define state-base() $:/state/flibbles/relink/\n\n\\define body()\n\n{{$:/plugins/flibbles/relink/language/Help/Operators}}\n\n<table><tbody>\n<tr><th>Filter Operator</th><th>Operand Type</th><th>Delete</th></tr>\n<$list filter=\"[all[shadows+tiddlers]prefix<prefix-ops>!has[draft.of]has[text]]\">\n<tr>\n<td><$list variable=\"listItem\" filter=\"[<currentTiddler>removeprefix<prefix-ops>]\"><<listItem>></$list></td>\n<td>{{||$:/plugins/flibbles/relink/ui/components/select-fieldtype}}</td>\n<td>{{||$:/plugins/flibbles/relink/ui/components/button-delete}}</td>\n</tr>\n</$list>\n</tbody></table>\n\n<em class=\"tc-edit\">Add a new filter operator:</em>\n<$edit-text tiddler=\"$(state-base)$operator-name\"\n            tag=\"input\" default=\"\" placeholder=\"operator name\" />\n<$button tooltip={{$(lingo-base)$NewOperator/Hint}}\n         aria-label={{$(lingo-base)$NewOperator/Caption}}>\n<$set name=\"tiddlerName\"\n      filter=\"[<prefix-ops>addsuffix{$(state-base)$operator-name}]\">\n<$action-setfield $tiddler=<<tiddlerName>> text={{$:/config/flibbles/relink/settings/default-type}} />\n</$set>\n<$action-deletetiddler $tiddler=\"$(state-base)$operator-name\" />\n<$text text={{$(lingo-base)$NewOperator/Caption}}/>\n</$button>\n\\end\n\n<<body>>\n"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/ihm/tidgraph/changelog": {
            "created": "20151024161547099",
            "creator": "ihm4u",
            "modified": "20151031061347109",
            "modifier": "ihm4u",
            "tags": "",
            "title": "$:/plugins/ihm/tidgraph/changelog",
            "text": "For the complete changelog see\n\nhttps://ihm4u.github.io/tw5plugs/#Tidgraph%20-%20Changelog\n"
        },
        "$:/plugins/ihm/tidgraph/documentation": {
            "title": "$:/plugins/ihm/tidgraph/documentation",
            "text": "!!Example\nThe following example shows a tiddler which tags 7 children:\n\n``<$tidgraph start=\"Virtues\" />``\n\nlooks like this:\n\n{{$:/plugins/ihm/tidgraph/tidgraph.png}}\n\n!!Usage\nSimple usage:\n\n``<$tidgraph start=\"MyRootTiddler\" />``\n\nThe map will start with MyRootTiddler on the left, and show all its children recursively. The default maximum depth is 10 levels, it can be changed with the `maxdepth` attribute.\n\nAll  options:\n\n|!Attribute |!Description|!Default |\n|`start`      |Initial tiddler that starts the map | none |\n|`startat`   |First level to display. 0 is the root tiddler named in the `start` attribute. 1 is the next level, etc. | 0 |\n|`maxdepth`   |Maximum depth to display.| 10 |\n|`mode` |//tagging// or //linking// or custom. This is how to identify the children of a node. With //tagging// Tiddlers that tag other tiddlers become their parent. With //linking// tiddlers that link to other tiddlers become their parent. A custom mode can be specified by a `$:/config/tidgraph/modes/MyMode` tiddler where `MyMode` is the name of the mode. The subfilter can be also specified directly; e.g. `mode=\"fields[]\"`. See [[Custom Mode Demo|https://ihm4u.github.io/tw5plugs/#Custom%20Mode%20Demo]] for an example | //tagging//  |\n|`nodetitle` |Field to use as title for the node. | //title// (or //caption// if present) |\n|`tooltip` |List of fields to use for node tooltip. The first field with a non empty value is used. | //summary// |\n|`filter` |Only tiddlers matching filter will be used | none |\n|`nocollapse` |Disable ability to collapse nodes. The graph allows node collapsing by default. | false |\n|`nodetemplate` |One or mode node templates to make node look like you want. See the [[Node Templates Demo|https://ihm4u.github.io/tw5plugs/#Node%20Templates%20Demo]] for examples of how to use them. | none |\n|`layout` |`E` for East (Vertical) or `S` for south (Horizontal) layout. | E |\n\n!CSS classes\nYou can also change colors, and other styles with the following CSS classes.\n\n|!Class |!Description |\n|tgr-node |Style for each node. If you want to change the color of the links inside the node use the `.tgr-node a` selector. |\n|tgr-edge |Style for the SVG path that connects the nodes. The old name was tgr-link. |\n|tgr-arrow |Style for the SVG polyline that draws the arrow at the end of the link |\n"
        },
        "$:/plugins/ihm/tidgraph/readme": {
            "created": "20151024054526558",
            "modified": "20151024065317719",
            "tags": "",
            "title": "$:/plugins/ihm/tidgraph/readme",
            "text": "!!How\nSimply put this in your tiddler:\n\n``<$tidgraph start=\"MyRootTiddler\" />``\n\nThere are other options covered in the [[documentation|$:/plugins/ihm/tidgraph/documentation]].\n\n!!Features\n* No third-party libraries\n* Light weight\n* Rendering of map/graph with HTML5 and SVG (no heavy png or jpg images)\n* Automatic map/graph creation, no need for dragging/connecting/etc\n* Figures out tree-graph by means of tags or links, or custom modes \n* Collapse/expand nodes\n* User defined Node Templates!!\n\n!!Limitations\n* Layout is horizontal from left to right, if needed a vertical layout will be added later\n"
        },
        "$:/plugins/ihm/tidgraph/stylesheet": {
            "tags": "$:/tags/Stylesheet",
            "title": "$:/plugins/ihm/tidgraph/stylesheet",
            "type": "text/css",
            "text": "/*Eliminate border in table and cells*/\n.ihm-tgr-table {\n   border-collapse: collapse;\n   border: none;\n   background-color: transparent;\n   padding: 0;\n   margin: 0;\n}\n\n.ihm-tgr-tablediv {\n   /* We need this margin to prevent spurius vertical scroll\n   * in tgr-container. It needs to have the SAME pixel value\n   * as top and left in tgr-svg-int class so that the SVG\n   * arrows match properly (this assures same origin coordinates\n   * for table and svg)\n   */\n   margin: 10px; \n}\n\n.tgr-container table  td {\n   border: none;\n   background-color: transparent;\n}\n\n/*nice round box around tiddlers*/\n.tgr-container td  a  {\n \n}\n\n.tgr-container {\n   position:relative; \n   left:0px; \n   top:0px; \n   background-color: transparent;\n   overflow: auto; /* This is needed to scroll on big maps */\n   z-index:1;\n}\n.tgr-svg-int { \n\tz-index: -1;\n\tposition:absolute;\n\tbackground-color:transparent;\n\topacity: 1;\n   left: 10px;\n   top: 10px;\n}\n\n/* SVG arrows */\n.ihm-tgr-link {\n   fill: none;\n   stroke-width: 2;\n   stroke: #aeb0b5;\n}\n\n.tgr-edge-weak {\n   stroke-dasharray: 3,5;\n}\n\n.tgr-arrow {\n   fill: #aeb0b5;\n   stroke-width: 0;\n}\n\n.ihm-tgr-node-container {\n   position: relative;\n}\n\n.ihm-tgr-node-container-east {\n   margin: 6px 10px;\n}\n\n.ihm-tgr-node-container-south {\n   margin: 16px 4px;\n   display: inline-block; /*FIXME*/\n}\n\n.ihm-tgr-node-container p {\n   margin-top: 0px;\n   margin-bottom: 0px;\n}\n\n.ihm-tgr-node {\n   background-color: #dce4ef;\n   border-radius: 15px;\n   padding: 0.1em 0.4em;\n   /* border: 0px dashed #cd2026; */\n   box-shadow: 4px 4px 5px #888888;\n   text-align: center;\n   vertical-align: middle;\n   font-size: 1em;\n   color: #0071bc;\n}\n\n/* Collapse feature */\n.ihm-tgr-collapse {\n    position: absolute;\n    cursor: pointer;\n    width: 14px;\n    height: 14px;\n    right: -14px;\n}\n\n.ihm-tgr-collapse-east {\n    top: 50%;\n    transform: translateY(-50%);\n    -ms-transform: translateY(-50%);\n    -webkit-transform: translateY(-50%);\n}\n\n.ihm-tgr-collapse-south {\n    left: 50%;\n    transform: translateX(-50%);\n    -ms-transform: translateX(-50%);\n    -webkit-transform: translateX(-50%);\n}\n\na.ihm-tgr-collapse:hover {\n    text-decoration: none;\n    background: #999999;\n}\n\n/* Vertical layout divs */\n.ihm-tgr-divtable {\n   display: table;\n}\n\n.ihm-tgr-node-group {\n   display: table-row;\n}\n\n.ihm-tgr-node-cell {\n   display: table-cell;\n   vertical-align: top;\n   text-align: center;\n}\n"
        },
        "$:/plugins/ihm/templates/collapse": {
            "created": "20151120174133063",
            "modified": "20151120180705805",
            "tags": "",
            "title": "$:/plugins/ihm/templates/collapse",
            "type": "text/vnd.tiddlywiki",
            "text": "<svg version=\"1.1\"  xmlns=\"http://www.w3.org/2000/svg\"  x=\"0px\"\n\t y=\"0px\" width=\"14px\" height=\"14px\" >\n<circle cx=\"7\" cy=\"7\" r=\"6\"  stroke=\"#aeb0b5\" stroke-width=\"1\" fill=\"#aeb0b5\"/>\n<polyline points=\"4,7 10,7\" fill=\"none\" stroke=\"white\"/>\n</svg>\n"
        },
        "$:/plugins/ihm/templates/expand": {
            "created": "20151120174133063",
            "modified": "20151120180705805",
            "tags": "",
            "title": "$:/plugins/ihm/templates/expand",
            "type": "text/vnd.tiddlywiki",
            "text": "<svg version=\"1.1\"  xmlns=\"http://www.w3.org/2000/svg\"  x=\"0px\"\n\t y=\"0px\" width=\"14px\" height=\"14px\" >\n<circle cx=\"7\" cy=\"7\" r=\"6\"  stroke=\"#aeb0b5\" stroke-width=\"1\" fill=\"#aeb0b5\"/>\n<polyline points=\"4,7 10,7 7,7 7,10 7,4\" fill=\"none\" stroke=\"white\"/>\n</svg>\n"
        },
        "$:/plugins/ihm/tidgraph/utils.js": {
            "text": "/*\\\ntitle: $:/plugins/ihm/tidgraph/utils.js\ntype: application/javascript\nmodule-type: library\n\nInternal utility functions for tidgraph plugin.\n\n\\*/\n(function(){function u(a){var c=a.getBoundingClientRect(),b=document.body,e=document.documentElement,g=c.top-(a.scrollTop||window.pageYOffset||e.scrollTop||b.scrollTop)-(e.clientTop||b.clientTop||0);a=c.left-(a.scrollLeft||window.pageXOffset||e.scrollLeft||b.scrollLeft)-(e.clientLeft||b.clientLeft||0);return{top:g,left:a,width:c.width,height:c.height,right:a+c.width,bottom:g+c.height}}function q(a,c,b){b=b||function(a,b,c){if(a)return!0};a=$tw.utils.parseStringArray(a);for(var e=a.length,g=c.length,\nf=0;f<g;f++)for(var h=0;h<e;h++){var d=$tw.wiki.getTiddler(c[f]);if(d&&(d=d.getFieldString(a[h]),b(d,a[h],c[f])))return d}return\"\"}function x(a){var c=!1;return(a=q(\"_tgr_node_class _tgr_node_class_add\",[a.id,a.template],function(a,e,g){if(a)return c=\"_tgr_node_class_add\"===e?!0:!1,!0}))&&\"tgr-default\"!==a?c?\"ihm-tgr-node tgr-node \"+a:a:\"ihm-tgr-node tgr-node\"}function w(a,c,b){var e;a=u(a);if(\"string\"===typeof b){if(e=document.querySelector(b),null==e)return null}else b instanceof HTMLElement&&(e=\nb);var g=u(e);b=g.bottom-a.top;e=g.left-a.left;var f=g.right-a.left;a=g.top-a.top;g=\"\";switch(c.toUpperCase()){case \"L\":g=[Math.round(e),Math.round(b/2+a/2)];break;case \"R\":g=[Math.round(f),Math.round(b/2+a/2)];break;case \"T\":g=[Math.round(f/2+e/2),Math.round(a)];break;case \"B\":g=[Math.round(f/2+e/2),Math.round(b)]}return g}function y(a,c,b,e,g){var f;a:{var h=u(c),d=u(b);f=h.left+h.width/2;var h=h.top+h.height/2,n=d.left+d.width/2,d=d.top+d.height/2;switch(e){case \"E\":f=4>n-f?[\"R\",\"R\"]:[\"R\",\"L\"];\nbreak a;case \"S\":f=4>d-h?[\"B\",\"B\"]:[\"B\",\"T\"];break a}f=void 0}d=w(a,f[0],c);a=w(a,f[1],b);var m,l,h=10,n=\"\";g&&(n=' class=\"tgr-edge-weak\"');if(null==c||null==b)return error(\"can't connect null element\");if(null==d)return error(\"port not found for \"+c.tagName+\" - \"+c.innerHTML);if(null==a)return error(\"port not found for \"+b.tagName+\" - \"+b.innerHTML);c=Math.abs(a[1]-d[1]);b=Math.abs(a[0]-d[0]);switch(e){case \"E\":return a[1]>d[1]&&(m=c/2),a[1]<d[1]&&(m=-c/2),5>c&&(m=0),\"L\"==f[1]&&(l=-10),\"R\"==f[1]&&\n(l=10,h=20),'<path d=\"M'+d[0]+\",\"+d[1]+\" Q\"+(d[0]+h)+\",\"+d[1]+\"  \"+(d[0]+h)+\",\"+(d[1]+m)+\" Q\"+(d[0]+h)+\",\"+a[1]+\"  \"+(a[0]+l)+\",\"+a[1]+'\"'+n+' marker-end=\"url(#tgr-arrow)\"/>';case \"S\":return a[0]>d[0]&&(l=b/2),a[0]<d[0]&&(l=-b/2),5>b&&(l=0),\"T\"==f[1]&&(m=-10,h=10),\"B\"==f[1]&&(m=10,h=20),'<path d=\"M'+d[0]+\",\"+d[1]+\" Q\"+d[0]+\",\"+(d[1]+h)+\"  \"+(d[0]+l)+\",\"+(d[1]+h)+\" Q\"+a[0]+\",\"+(d[1]+h)+\"  \"+a[0]+\",\"+(a[1]+m)+'\"'+n+' marker-end=\"url(#tgr-arrow)\"/>'}}function v(a,c){var b;switch(c.mode){case \"tagging\":b=\n\"[[\"+a+\"]tagging[]]+\"+c.filter;break;case \"linking\":b=\"[[\"+a+\"]links[]!is[missing]]+\"+c.filter;break;default:b=\"[[\"+a+\"]\"+c.mode+\"]+\"+c.filter}return $tw.wiki.filterTiddlers(b)}function z(a,c,b){switch(b.mode.toLowerCase()){case \"tagging\":return(b=$tw.wiki.getTiddler(a))?b.hasTag(c):!1;default:return b=v(c,b),-1!==b.indexOf(a)}}function A(a,c){function b(b,l,k){h=l;d=b;n=encodeURIComponent(h);m=encodeURIComponent(d);g=document.getElementById(c.id+\"-\"+n);f=document.getElementById(c.id+\"-\"+m);g&&f&&\ne.push(y(a,g,f,c.layout,k))}var e=[],g,f,h,d,n,m;p(c.root,function(a,c,d){(c=a.parent)&&b(a.id,c.id)},{},{skipvisited:!0});for(var l=c.outliers.length,k=0;k<l;k++)b(c.outliers[k][0],c.outliers[k][1],!0);return e.join(\" \")}function p(a,c,b,e){e=e||{};var g=e.done||[],f=e.getCh||function(a){return a.collapse?[]:a.children},h=e.lvl||0,d=void 0===e.skipvisited?!0:e.skipvisited;e.leave=e.leave||!1;if(d&&-1!==g.indexOf(a))return b;g.push(a);f=f(a);d=f.length;b=b||{};e.lvl=h+1;e.done=g;if(!1===c(a,b,h))return e.leave=\n!0,b;for(a=0;a<d;a++)if(b=p(f[a],c,b,e),e.leave)return b;e.lvl--;return b}function B(a,c,b,e){e=e||{};var g=e.getCh||function(a){return a.collapse?[]:a.children},f=e.getId||function(a){return a.id},h=void 0===e.skipvisited?!0:e.skipvisited,d=e.maxdepth||Number.MAX_VALUE;b=b||{};var n=[],m=[],l=[],k=0;n.push(a);l[f(a)]=void 0;do{a=n.length;for(var q=0;q<a;q++){var r=n.shift(),p;p=h?-1===m.indexOf(r)?!1:!0:!1;if(!p&&!1===c(r,l[f(r)],b,k))return b;m.push(r);p=g(r);n=n.concat(p);p&&p.forEach(function(a){var b=\nl[f(a)];b?f(b)!==f(r)&&e.outlier&&e.outlier(a,r):l[f(a)]=r})}k++}while(0!==n.length&&k<=d);return b}function C(a,c){return p(a,function(a,c){c.cnt++;return!0},{cnt:0},{skipvisited:c}).cnt-1}function D(a,c,b){function e(a,b){if(-1!==$tw.utils.parseStringArray(b).indexOf(c.toString()))return!0}b=$tw.utils.parseStringArray(b);var g=q(\"_tgr_node_template\",[a]),f=[];$tw.utils.each(b,function(b){var c=$tw.wiki.getTiddler(b),c=c?c.getFieldString(\"_tgr_node_filter\"):\"\",d=$tw.wiki.filterTiddlers(c);c&&-1===\nd.indexOf(a)&&f.push(b)});0<f.length&&$tw.utils.removeArrayEntries(b,f);g||q(\"_tgr_node_filter\",b,function(b,c,d){c=$tw.wiki.filterTiddlers(b);if(b&&-1!==c.indexOf(a))if(b=$tw.wiki.getTiddler(d).getFieldString(\"_tgr_node_level\")){if(e(d,b))return g=d,!0}else return g=d,!0});g||q(\"_tgr_node_level\",b,function(a,b,c){if(e(c,a))return g=c,!0});if(!g)for(var h=b.length,d=0;d<h;d++){var n=$tw.wiki.getTiddler(b[d]);if(n&&!n.hasField(\"_tgr_node_level\")&&!n.hasField(\"_tgr_node_filter\")){g=b[d];break}}g||(g=\n\"tgr-default\");return g}function t(a,c,b,e){if(!(this instanceof t))throw\"Error: call new tnode(id=\"+c+\")\";this.parent=a;this.id=c;this.children=[];this.collapse=!1;this.widget=e;this.template=void 0;a=D(c,b,e.nodetemplate);\"tgr-default\"!==a&&(this.transcluder=b=\"$:/temp/tidgraph/\"+e.tidtree.id+\"/\"+c,this.template=a,$tw.wiki.addTiddler(new $tw.Tiddler({title:b,text:\"{{\"+c+\"||\"+a+\"}}\"})),-1===e.templatesInUse.indexOf(a)&&e.templatesInUse.push(a))}exports.buildTable=function(a,c){function b(a,b){return $tw.utils.domMaker(a,\n$tw.utils.extend(b,{document:c.document}))}function e(a){var d=encodeURIComponent(a.id),e;var f=a.id;e=$tw.wiki.tiddlerExists(f)?c.nodetitle?q(c.nodetitle,[f]):q(\"caption title\",[f]):f;var g=$tw.wiki.tiddlerExists(a.id)?\"tc-tiddlylink-resolves\":\"tc-tiddlylink-missing\",g=\"tc-tiddlylink \"+g,f=x(a);a.template?a=b(\"div\",{\"class\":f,innerHTML:$tw.wiki.renderTiddler(\"text/html\",a.transcluder)}):(a=b(\"a\",{\"class\":g,text:e,attributes:{href:\"#\"+d}}),a=b(\"div\",{\"class\":f,children:[a]}));return a}function g(a,\nd){var e=1+C(a,!0),f=encodeURIComponent(a.id),g=q(c.tooltip,[a.id]),k;!1===c.nocollapse&&a.children&&0<a.children.length?(k=$tw.wiki.renderTiddler(\"text/html\",\"$:/plugins/ihm/templates/\"+(a.collapse?\"expand\":\"collapse\")).replace(/^<p>/,\"<span>\").replace(/<\\/p>$/,\"</span>\"),k=b(\"span\",{\"class\":\"ihm-tgr-collapse \"+(\"E\"==a.widget.tidtree.layout?\"ihm-tgr-collapse-east\":\"ihm-tgr-collapse-south\")+\" tc-tiddlylink\",innerHTML:k}),$tw.utils.addEventListeners(k,[{name:\"click\",handlerObject:a,handlerMethod:\"collapseClickEvent\"}]),\nk=[d,k]):k=[d];f=b(\"div\",{\"class\":\"ihm-tgr-node-container \"+(\"E\"==a.widget.tidtree.layout?\"ihm-tgr-node-container-east\":\"ihm-tgr-node-container-south\"),children:k,attributes:{id:c.id+\"-\"+f,title:g}});return\"E\"===c.layout?b(\"td\",{attributes:{rowspan:e},children:[f]}):b(\"div\",{attributes:{\"class\":\"ihm-tgr-node-cell\"},children:[f]})}var f;f=\"E\"==c.layout?b(\"table\",{\"class\":\"ihm-tgr-table\",attributes:{id:c.id+\"-table\"}}):b(\"div\",{\"class\":\"ihm-tgr-divtable\",attributes:{id:c.id+\"-table\"}});(function(a){switch(c.layout){case \"E\":p(c.root,\nfunction(d,f,m){m>=c.startat&&(f=e(d),d=g(d,f),d=b(\"tr\",{children:[d]}),a.appendChild(d));return!0},{},{skipvisited:!0});break;case \"S\":p(c.root,function(d,f,m){if(m>=c.startat){var l=e(d),l=g(d,l),k=f.nodegroup[f.nodegroup.length-1];k?m>=f.lastdepth?k.appendChild(l):m<f.lastdepth&&(f.nodegroup.pop(),k=f.nodegroup[f.nodegroup.length-1],k.appendChild(l)):a.appendChild(l);!d.collapse&&0<d.children.length&&(d=b(\"div\",{\"class\":\"ihm-tgr-node-group\"}),f.nodegroup.push(d),l.appendChild(d))}f.lastdepth=m;\nreturn!0},{nodegroup:[],lastdepth:-1},{skipvisited:!0})}})(f);return f};exports.error=function(a){return'<span style=\"color:green; font-size:1.5em\">\\u26a0 Tidgraph: </span><span style=\"color:red\">'+a+\"</span>\"};exports.buildSVG=function(a,c){var b=document.getElementById(c.id+\"-table\");if(b)return getComputedStyle(b),'<svg  xmlns=\"http://www.w3.org/2000/svg\" height=\"'+a.offsetHeight+'px\" width=\"'+a.offsetWidth+'px\" style=\"overflow: visible\"><g class=\"ihm-tgr-link tgr-link tgr-edge\" style=\"overflow: visible\"> <defs> <marker id=\"tgr-arrow\" viewBox=\"0 0 10 10\" refX=\"1\" refY=\"5\" markerUnits=\"strokeWidth\" orient=\"auto\" markerWidth=\"8\" markerHeight=\"6\"> <polyline class=\"ihm-tgr-arrow tgr-arrow\" points=\"0,0 10,5 0,10 0,5\" style=\"opacity:1;\" /></marker></defs> '+\nA(a,c)+\"</g> </svg>\"};exports.isDescendant=function(a,c,b){if(z(a,c,b))return!0;var e=!1;p(c,function(b,c,h){if(b===a)return e=!0,!1},{},{skipvisited:!0,getCh:function(a){return v(a,b)}});return e};exports.makeTidTree=function(a,c,b){b=b||{};var e=!1;c.outliers=[];var g=new t(void 0,a,0,b.widget);B(a,function(a,c,d,e){if(c){a:{for(var g=d.visited,l=g.length,k=0;k<l;k++)if(g[k].id===c){c=g[k];break a}c=void 0}a=c.addChild(a,e,b.widget);d.visited.push(a)}return!0},{visited:[g]},{getId:function(a){return a},\ngetCh:function(a){return v(a,c)},maxdepth:c.maxdepth,skipvisited:!0,outlier:function(a,b){e=!1;$tw.utils.each(c.outliers,function(c){c[0]===a&&c[1]===b&&(e=!0)});e||c.outliers.push([a,b])}});return g};t.prototype.addChild=function(a,c,b){a=new t(this,a,c,b);this.children.push(a);return a};t.prototype.toString=function(){return\"tnode(id=\"+this.id+\")\"};t.prototype.collapseClickEvent=function(a){this.collapse=!this.collapse;this.widget.paint()}})();\n",
            "title": "$:/plugins/ihm/tidgraph/utils.js",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/ihm/tidgraph/tidgraph.png": {
            "created": "20151024064703806",
            "modified": "20151024064720670",
            "title": "$:/plugins/ihm/tidgraph/tidgraph.png",
            "type": "image/png",
            "text": 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
        },
        "$:/plugins/ihm/widgets/tidgraph.js": {
            "text": "/*\\\ntitle: $:/plugins/ihm/widgets/tidgraph.js\ntype: application/javascript\nmodule-type: widget\n\nTidgraph widget to render HTML5/SVG graph of tiddlers\n\n\\*/\n(function(){var e=require(\"$:/core/modules/widgets/widget.js\").widget,c=function(b,f){this.initialise(b,f)},d=require(\"$:/plugins/ihm/tidgraph/utils.js\");c.prototype=new e;c.prototype.render=function(b,f){this.tidtree&&this.delTempTiddlers();this.parentDomNode=b;this.nextSiblingDomNode=f;this.computeAttributes();this.execute();-1===[\"tagging\",\"linking\"].indexOf(this.mode)&&(this.mode=$tw.wiki.getTiddlerText(\"$:/config/tidgraph/modes/\"+this.mode)||this.mode);this.tidtree=[];this.tidtree.mode=this.mode;\nthis.tidtree.maxdepth=this.maxdepth;this.tidtree.startat=this.startat;this.tidtree.nodetitle=this.nodetitle;this.tidtree.tooltip=this.tooltip;this.tidtree.filter=this.filter;this.tidtree.nocollapse=this.nocollapse;this.tidtree.document=this.document;this.tidtree.nodetemplate=this.nodetemplate;this.tidtree.layout=this.layout;this.templatesInUse=$tw.utils.parseStringArray(this.nodetemplate);this.tidtree.id=(new Date).valueOf();if($tw.wiki.getTiddler(this.startTid)){this.div=this.document.createElement(\"div\");\nthis.div.className=\"tgr-container tgr\";this.tablediv=this.document.createElement(\"div\");this.tablediv.className=\"ihm-tgr-tablediv\";this.table=void 0;this.div.appendChild(this.tablediv);this.svgdiv=this.document.createElement(\"div\");this.svgdiv.className=\"tgr-svg-int\";this.div.appendChild(this.svgdiv);this.parentDomNode.insertBefore(this.div,this.nextSiblingDomNode);this.domNodes.push(this.div);this.tidtree.root=d.makeTidTree(this.startTid,this.tidtree,{widget:this});this.paint();var a=this,c=function(){a.svgdiv.innerHTML=\nd.buildSVG(a.tablediv,a.tidtree);a.oldresize&&a.oldresize()},e=function(){a.svgdiv.innerHTML=d.buildSVG(a.tablediv,a.tidtree)};this.div.onscroll=function(){a.scroll_to||clearTimeout(a.scroll_to);a.scroll_to=setTimeout(e,100)};this.onresize_updated||(window.onresize&&void 0==this.oldresize&&(this.oldresize=window.onresize),window.onresize=function(){a.resize_to||clearTimeout(a.resize_to);a.resize_to=setTimeout(c,100)},this.onresize_updated=!0)}};c.prototype.delTempTiddlers=function(){var b=$tw.wiki.filterTiddlers(\"[prefix[$:/temp/tidgraph/\"+\nthis.tidtree.id+\"]]\");$tw.utils.each(b,function(b){$tw.wiki.deleteTiddler(b)})};c.prototype.paint=function(){this.sidebar=$tw.wiki.getTiddlerText(\"$:/state/sidebar\");var b=d.buildTable(this.startTid,this.tidtree);this.table?this.tablediv.replaceChild(b,this.table):this.tablediv.appendChild(b);this.svgdiv.innerHTML=d.buildSVG(this.tablediv,this.tidtree);this.table=b};c.prototype.execute=function(){this.startTid=this.getAttribute(\"start\");this.mode=this.getAttribute(\"mode\",\"tagging\");this.maxdepth=\nparseInt(this.getAttribute(\"maxdepth\",\"10\"));this.startat=this.getAttribute(\"startat\",\"0\");this.nodetitle=this.getAttribute(\"nodetitle\");this.tooltip=this.getAttribute(\"tooltip\",\"summary\");this.filter=this.getAttribute(\"filter\",\"[!is[system]]\");this.nocollapse=this.hasAttribute(\"nocollapse\");this.nodetemplate=this.getAttribute(\"nodetemplate\",\"\");this.layout=this.getAttribute(\"layout\",\"E\");-1==[\"E\",\"S\"].indexOf(this.layout)&&(this.layout=\"E\")};c.prototype.refresh=function(b){var c=!1,a;this.computeAttributes();\nthis.execute();for(a in b)if((b=document.getElementById(this.tidtree.id+\"-\"+encodeURIComponent(a))||d.isDescendant(a,this.startTid,this.tidtree)||-1!==this.templatesInUse.indexOf(a))||(b=(b=$tw.wiki.getTiddler(a))&&b.hasTag(\"$:/tags/Stylesheet\")?!0:!1),b||-1!==a.indexOf(\"$:/config/tidgraph/modes\")){c=!0;break}$tw.wiki.getTiddlerText(\"$:/state/sidebar\")!==this.sidebar&&(c=!0);return c?(this.refreshSelf(),!0):!1};exports.tidgraph=c})();\n",
            "title": "$:/plugins/ihm/widgets/tidgraph.js",
            "type": "application/javascript",
            "module-type": "widget"
        }
    }
}

{
    "tiddlers": {
        "$:/jd/fullscreen-editor/EditButton": {
            "text": "\\whitespace trim\n<$navigator story=\"$:/fullscreen-editor\">\n<$button message=\"tm-edit-tiddler\" tooltip=\"Edit in full screen mode\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/full-screen-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text=\"edit in full screen\"/>\n</span>\n</$list>\n</$button>\n</$navigator>",
            "title": "$:/jd/fullscreen-editor/EditButton",
            "tags": "$:/tags/ViewToolbar",
            "modifier": "jd",
            "modified": "20190204134418116",
            "description": "Edit in full screen mode",
            "creator": "jd",
            "created": "20190204123121582",
            "caption": "{{$:/core/images/full-screen-button}} edit in full screen"
        },
        "$:/jd/fullscreen-editor/EditTemplate": {
            "text": "<$navigator story=\"$:/fullscreen-editor\">\n<$keyboard key=((cancel-edit-tiddler)) message=\"tm-cancel-tiddler\">\n<$keyboard key=((save-tiddler)) actions=\"\"\"<$action-sendmessage $message=\"tm-save-tiddler\"/><$action-sendmessage $message=\"tm-close-tiddler\"/>\"\"\" class=\"fullscreen-story-river\" tag=\"div\">\n{{||$:/core/ui/EditTemplate/controls}}\n{{||$:/core/ui/EditTemplate/body}}\n</$keyboard>\n</$keyboard>\n</$navigator>",
            "title": "$:/jd/fullscreen-editor/EditTemplate",
            "modifier": "jd",
            "modified": "20190204140310285",
            "creator": "jd",
            "created": "20190204123536452"
        },
        "$:/jd/fullscreen-editor/PageTemplate": {
            "text": "<$list filter=\"[list[$:/fullscreen-editor]]\" template=\"$:/jd/fullscreen-editor/ViewTemplate\" editTemplate=\"$:/jd/fullscreen-editor/EditTemplate\"/>\n",
            "title": "$:/jd/fullscreen-editor/PageTemplate",
            "tags": "$:/tags/PageTemplate",
            "modifier": "jd",
            "modified": "20190204135522488",
            "creator": "jd",
            "created": "20190204123350692"
        },
        "$:/jd/fullscreen-editor/Stylesheet": {
            "text": "<$list filter=\"[[$:/fullscreen-editor]has:field[list]!field:list[]]\">\n<$list filter=\"[[$:/fullscreen-editor]search:list[draft of]]\">\n\n.tc-story-river {display: none; }\n\n.fullscreen-story-river {\n    background-color: <<colour tiddler-editor-background>>;\n    position: fixed;\n    top: 0;\n    bottom: 0;\n    left: 0;\n    right: 0;\n    display: block;\n    z-index: 2200;\n    overflow-y: auto;\n}\n\n.fullscreen-story-river .tc-tiddler-edit-title {\n    position: sticky;\n    top: 0;\n    background: <<colour page-background>>;\n    display: flex;\n    align-items: center;\n    justify-content: space-between;\n    padding: 0.5em 1em;\n}\n\n.fullscreen-story-river .tc-tiddler-edit-title > div:nth-child(2) {\n    display: none;\n}\n\n.fullscreen-story-river .tc-tiddler-controls.tc-titlebar,\n.fullscreen-story-river .tc-tiddler-controls.tc-titlebar .tc-btn-invisible {\n    display: flex;\n    align-items: center;\n}\n\n.fullscreen-story-river .tc-editor-toolbar {\n    background: <<colour page-background>>;\n    padding: 0.25em 1em;\n    margin: 0;\n}\n\n.fullscreen-story-river  .tc-editor-toolbar button {\n    background: <<colour page-background>>;\n}\n\n.fullscreen-story-river textarea.tc-edit-texteditor {\n    border: none;\n    padding: 1em;\n    background-color: <<colour tiddler-editor-background>>;\n}\n\n<$list filter=\"[[$:/state/showeditpreview]text[yes]]\">\n.fullscreen-story-river iframe.tc-edit-texteditor { width: 49%; }\n</$list>\n\n<$list filter=\"[[$:/state/showeditpreview]!text[yes]]\">\n.fullscreen-story-river iframe.tc-edit-texteditor { width: 100%; }\n</$list>\n\n</$list>\n</$list>",
            "title": "$:/jd/fullscreen-editor/Stylesheet",
            "tags": "$:/tags/Stylesheet",
            "modifier": "jd",
            "modified": "20190204141756609",
            "creator": "jd",
            "created": "20190204124703056"
        },
        "$:/jd/fullscreen-editor/readme": {
            "created": "20190206054820870",
            "creator": "HC Haase",
            "text": "With ''~FullscreenEditor'', you'll be able to edit the current tiddler distraction-free with this button, found at the usual tiddler controls: @@font-size:1.5em;{{||$:/jd/fullscreen-editor/EditButton}}@@\n\nAlso in this mode, <kbd>ctrl</kbd>+<kbd>enter</kbd> will save and close the tiddler, and <kbd>esc</kbd> will cancel the edit (or whatever keyboard shortcut have been set for these two actions at $:/core/ui/ControlPanel/KeyboardShortcuts).",
            "title": "$:/jd/fullscreen-editor/readme",
            "modifier": "HC Haase",
            "modified": "20190206054846709"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/jd/mob/config": {
            "created": "20171029115120346",
            "creator": "JD",
            "text": "<style>\n.tc-btn-invisible { text-align: left; }\n</style>\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##freshinstall\" text=\"yes\">\n<div class=\"jd-bq\">\n<p>\nThanks for installing this plugin! You can always find the latest updates <a target=\"blank\" href=\"http://j.d.simplemobile.tiddlyspot.com\">here</a>\n</p>\n<p>\nThis plugin options tiddler is also available at ''Control panel'' >> ''Appearance'' >> ''JD Mob''\n</p>\n<p>\n<$button>\n<<jdconfig freshinstall no>>\nClose message\n</$button>\n</p>\n</div>\n<br>\n<hr>\n<br>\n</$reveal>\nShow as:\n<$select tiddler=\"$:/plugins/jd/mob/config/config\" index=\"configtype\">\n<option value=\"list\">List</option>\n<option value=\"htabs\">Horizontal tabs</option>\n<option value=\"vtabs\">Vertical tabs</option>\n</$select>\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##configtype\" text=\"list\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/jd/config]]\"><$transclude/><hr></$list>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##configtype\" text=\"htabs\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/jd/config]!has[draft.of]]\" \"$:/plugins/jd/mob/config/barpresets\">>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##configtype\" text=\"vtabs\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/jd/config]!has[draft.of]]\" \"$:/plugins/jd/mob/config/barpresets\" \"$:/state/tab/JDconfig\" \"tc-vertical\">>\n</$reveal>",
            "title": "$:/plugins/jd/mob/config",
            "tags": "$:/tags/ControlPanel/Appearance",
            "subtitle": "Configure JD mobile layout",
            "modifier": "JD",
            "modified": "20171122151014084",
            "caption": "JD Mob"
        },
        "$:/plugins/jd/mob/config/fonts": {
            "created": "20171031124255884",
            "creator": "JD",
            "text": "<style> .texte { width: calc(100% - 60px); } </style>\n\n<h2>Fonts and heights presets</h2>\n\n\n<$button class=\"tc-btn-invisible\">\n<<jdfont 38px 30px 38px 28px 20px>>\n<<jdconfig fontsize largest>>\n<<jdradbut fontsize largest>>\n</$button> Largest\n<br>\n<$button class=\"tc-btn-invisible\">\n<<jdfont 34px 26px 34px 24px 20px>>\n<<jdconfig fontsize larger>>\n<<jdradbut fontsize larger>>\n</$button> Larger\n<br>\n<$button class=\"tc-btn-invisible\">\n<<jdfont 30px 22px 30px 20px 20px>>\n<<jdconfig fontsize large>>\n<<jdradbut fontsize large>>\n</$button> Large\n<br>\n<$button class=\"tc-btn-invisible\">\n<<jdfont 26px 18px 26px 16px 20px>>\n<<jdconfig fontsize medium>>\n<<jdradbut fontsize medium>>\n</$button> Medium\n<br>\n<$button class=\"tc-btn-invisible\">\n<<jdfont 22px 14px 20px 12px 20px>>\n<<jdconfig fontsize small>>\n<<jdradbut fontsize small>>\n</$button> Small\n<br>\n<$button class=\"tc-btn-invisible\">\n<<jdfont 18px 10px 16px 8px 20px>>\n<<jdconfig fontsize smaller>>\n<<jdradbut fontsize smaller>>\n</$button> Smaller\n<br>\n<$button class=\"tc-btn-invisible\">\n<<jdfont>>\n<<jdconfig fontsize default>>\n<<jdradbut fontsize default>>\n</$button> TW5 default\n<br>\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/jd/mob/font/font-title\" caption=\"Title\" list-before=\"$:/temp/jd/mob/font/font-body\"/>\n<$action-setfield $tiddler=\"$:/temp/jd/mob/font/font-body\" caption=\"Body, text buttons\" list-after=\"$:/temp/jd/mob/font/font-title\"/>\n<$action-setfield $tiddler=\"$:/temp/jd/mob/font/lineheight\" caption=\"Lineheight\"/>\n<$action-setfield $tiddler=\"$:/temp/jd/mob/font/font-tab-button\" caption=\"Tab buttons\"/>\n<$action-setfield $tiddler=\"$:/temp/jd/mob/font/font-button\" caption=\"Image buttons\"/>\n<<jdconfig fontsize custom>>\n<<jdradbut fontsize custom>>\n</$button> Custom\n\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##fontsize\" text=\"custom\">\n\nInclude unit (''px'' or ''em'') when entering custom values\n\n<table style=\"width:100%\">\n<tr>\n<th style=\"width:40%\">Element</th>\n<th style=\"width:60%\">Adjust</th>\n</tr>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/temp/jd/mob/font/]!suffix[sitetitle]]\">\n<tr>\n<td><$view field=\"caption\"/></td>\n<td><$edit-text tiddler={{!!title}} field=\"temp\" placeholder={{!!text}} class=\"texte\"/>\n<$reveal type=\"match\" state=!!temp text=\"\">\n<$button class=\"tc-btn-invisible\" style=\"color:grey; cursor:not-allowed;\">✓</$button>\n<$button class=\"tc-btn-invisible\" style=\"color:grey; cursor:not-allowed;\">✕</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=!!temp text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler={{!!title}} text={{!!temp}}/>\n<$action-setfield $tiddler={{!!title}} temp=\"\"/>✓</$button>\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler={{!!title}} temp=\"\"/>✕</$button>\n</$reveal>\n</td>\n</tr>\n</$list>\n</table>\n</$reveal>\n<br><br>",
            "title": "$:/plugins/jd/mob/config/fonts",
            "tags": "$:/tags/jd/config",
            "modifier": "JD",
            "modified": "20171120143104637",
            "caption": "Fonts and heights"
        },
        "$:/plugins/jd/mob/readme": {
            "created": "20171030143047925",
            "creator": "JD",
            "text": "This is a mobile layout that applies to narrow screens. It introduces the following:\n\n# A Topbar that can be any of the following:\n#* Hidden\n#* Titlebar (search, title, subtitle, menu)\n#* Mobbuttons bar\n#**  Buttons tagged ''~$:/tags/jd/mobbutton''\n#* Searchbar\n#**  Simple searchbar lists standard search results only\n#**  Combined searchbar lists all search results (possibly slow on some devices)\n#* Control area containing ''Top Left Bar'', ''Page Control'', ''Mob-only'', and ''Top Right Bar'' buttons (in that order)\n#**  ''Top Left Bar'' >> buttons tagged ''~$:/tags/TopLeftBar''\n#**  ''Page control'' >> buttons tagged ''~$:/tags/PageControls''\n#**  ''Mob-only'' >> other buttons tagged ''~$:/tags/jd/mobbutton''\n#**  ''Top Right Bar'' >> buttons tagged ''~$:/tags/TopRightBar''\n#**  Buttons you don't want to appear here should be tagged ''~$:/tags/jd/mobno'' \n\n# A Bottombar that can be any of the following:\n#* Hidden\n#* Mobbuttons bar\n#**  Buttons tagged ''~$:/tags/jd/mobbutton''\n#* Control area containing ''Top Left Bar'', ''Page Control'', ''Mob-only'', and ''Top Right Bar'' buttons (in that order)\n#**  ''Top Left Bar'' >> buttons tagged ''~$:/tags/TopLeftBar''\n#**  ''Page control'' >> buttons tagged ''~$:/tags/PageControls''\n#**  ''Mob-only'' >> other buttons tagged ''~$:/tags/jd/mobbutton''\n#**  ''Top Right Bar'' >> buttons tagged ''~$:/tags/TopRightBar''\n#**  Buttons you don't want to appear here should be tagged ''~$:/tags/jd/mobno'' \n\n//Note:// \n\nThis layout is tied to the ''Sidebar Breakpoint'' set at ''Control Panel'' >> ''Appearance'' >> ''Theme Tweaks''.\n\nThis layout is compatible with any core theme as of release date.\n\n<a target=\"blank\" href=\"http://j.d.simplemobile.tiddlyspot.com\">Project Homepage on Tiddlyspot</a>\n\n!! Version History\n\n!!! 2018-09-03 Release of version 1.0.4\n\n* Added ability to create tiddler out of search term via \"+\" button, or keyboard shortcut: \"ctrl+space\"\n\n[[Detailed changelog|http://j.d.simplemobile.tiddlyspot.com/#Changelog]]",
            "title": "$:/plugins/jd/mob/readme",
            "tags": "",
            "modifier": "JD",
            "modified": "20180903122259331"
        },
        "$:/plugins/jd/mob/config/config": {
            "created": "20171109145547252",
            "creator": "JD",
            "text": "freshinstall: yes\ndefaultconfirm: cancel\nconfigtype: list\nfontsize: default\nscrollbars: show\nbarpreset: 4\nstoryfix: no\ntitlebaradjust: no\ntopbar: fixedsearch\ntopbarchoice: hide\nsearchbar: yes\nradbuttop: fixedsearch\nsearchbarchoice: simple\nbottombar: controls\nradbuttopfixedsearchops: hide\nradbuttopcontrolsops: hide\nradbuttopmobbuttonsops: hide\nradbuttoptitleops: hide\nbottombarcontrolsops: hide\nbottombarmobbuttonsops: hide\nbarpreset1ops: hide\nbarpreset2ops: hide\nbarpreset3ops: hide\nbarpreset4ops: hide\nsearchbutton: simple\nfocus: show",
            "type": "application/x-tiddler-dictionary",
            "title": "$:/plugins/jd/mob/config/config",
            "modifier": "JD",
            "modified": "20171122154523597"
        },
        "$:/plugins/jd/mob/config/topbar": {
            "created": "20171028024424838",
            "creator": "JD",
            "text": "<h2>Topbar</h2>\n<$button class=tc-btn-invisible>\n<<setTopsearchbar>>\n<<tglSearch>>\n<<jdconfig searchbutton simple>>\n<<jdradbut radbuttop fixedsearch>>\n</$button> Fixed searchbar\n<<moreOps radbuttop fixedsearch searchbar>>\n<$button class=tc-btn-invisible>\n<<setTopcontrols>>\n<<tglSearch>>\n<<jdconfig searchbutton simple>>\n<<jdradbut radbuttop controls>>\n</$button> Controls\n<<moreOps radbuttop controls searchbutton>>\n<$button class=tc-btn-invisible>\n<<setTopmobbuttons>>\n<<tglSearch>>\n<<jdconfig searchbutton simple>>\n<<jdradbut radbuttop mobbuttons>>\n</$button> Mob buttons only\n<<moreOps radbuttop mobbuttons searchbutton>>\n<$button class=tc-btn-invisible>\n<<setToptitlebar>>\n<<tglSearch>>\n<<jdconfig searchbutton simple>>\n<<jdradbut radbuttop title>>\n</$button> Titlebar\n<<moreOps radbuttop title titlebar>>\n<$button class=tc-btn-invisible>\n<<setTophide>>\n<<jdradbut radbuttop hide>>\n</$button> Hidden\n<br>",
            "title": "$:/plugins/jd/mob/config/topbar",
            "modifier": "JD",
            "modified": "20171122131221362",
            "list-before": "$:/plugins/jd/mob/config/bottombar",
            "caption": "Topbar style"
        },
        "$:/plugins/jd/mob/config/bottombar": {
            "created": "20171110164302862",
            "creator": "JD",
            "text": "<h2>Bottombar</h2>\n<$button class=\"tc-btn-invisible\">\n<<setBottomcontrols>>\n<<jdradbut bottombar controls>>\n</$button> Controls\n<<moreOps bottombar controls searchbutton>>\n<$button class=\"tc-btn-invisible\">\n<<jdconfig bottombar mobbuttons>>\n<<jdradbut bottombar mobbuttons>>\n</$button> Mob buttons only\n<<moreOps bottombar mobbuttons searchbutton>>\n<$button class=\"tc-btn-invisible\">\n<<noBottom>>\n<<jdradbut bottombar hide>>\n</$button> Hidden\n<br>",
            "title": "$:/plugins/jd/mob/config/bottombar",
            "modifier": "JD",
            "modified": "20171122131210851",
            "list-after": "$:/plugins/jd/mob/config/topbar",
            "caption": "Bottombar style"
        },
        "$:/plugins/jd/mob/config/barpresets": {
            "created": "20171113033257223",
            "creator": "JD",
            "text": "<h2>Topbar and bottombar presets</h2>\n<$button class=\"tc-btn-invisible\">\n<<jdconfig barpreset 1>>\n<<setToptitlebar>>\n<<noBottom>>\n<<jdradbut barpreset 1>>\n</$button> ''Titlebar'' on top, hidden bottom\n<<moreOps barpreset 1 titlebar>>\n<$button class=\"tc-btn-invisible\">\n<<jdconfig barpreset 2>>\n<<setTopcontrols>>\n<<noBottom>>\n<<jdradbut barpreset 2>>\n</$button> ''Controls'' on top, hidden bottom\n<<moreOps barpreset 2 searchbutton>>\n<$button class=\"tc-btn-invisible\">\n<<jdconfig barpreset 3>>\n<<setTophide>>\n<<setBottomcontrols>>\n<<jdradbut barpreset 3>>\n</$button> Hidden top, ''Controls'' on bottom\n<<moreOps barpreset 3 searchbutton>>\n<$button class=\"tc-btn-invisible\">\n<<jdconfig barpreset 4>>\n<<setTopsearchbar>>\n<<setBottomcontrols>>\n<<jdradbut barpreset 4>>\n</$button> ''Searchbar'' on top, ''Controls'' on bottom\n<<moreOps barpreset 4 searchbar>>\n<$button class=\"tc-btn-invisible\">\n<<jdconfig barpreset 5>>\n<<jdradbut barpreset 5>>\n</$button> Custom topbar and bottombar\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##barpreset\" text=\"5\">\n{{$:/plugins/jd/mob/config/topbar}}\n{{$:/plugins/jd/mob/config/bottombar}}\n</$reveal>\n<br><br>",
            "title": "$:/plugins/jd/mob/config/barpresets",
            "tags": "$:/tags/jd/config",
            "modifier": "JD",
            "modified": "20171122154450000",
            "caption": "Top and bottom bars"
        },
        "$:/plugins/jd/mob/template/topbar": {
            "text": "<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##topbar\" text=\"fixedsearch\">\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##fixedsearch\" text=\"combined\">\n{{$:/plugins/jd/mob/template/combinedsearch}}\n</$reveal>\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##fixedsearch\" text=\"simple\">\n{{$:/plugins/jd/mob/template/simplesearch}}\n</$reveal>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##topbar\" text=\"controls\">\n<span class=\"jd-topbar\">\n{{$:/plugins/jd/mob/template/controls}}\n</span>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##topbar\" text=\"mobbuttons\">\n<span class=\"jd-topbar\">\n<div class=\"tc-page-controls\">\n{{$:/plugins/jd/mob/template/mobbuttons}}\n</div>\n</span>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##topbar\" text=\"title\">\n<span class=\"jd-topbar\">\n{{$:/plugins/jd/mob/template/titlebar}}\n</span>\n</$reveal>",
            "title": "$:/plugins/jd/mob/template/topbar",
            "tags": "$:/tags/PageTemplate",
            "modifier": "JD",
            "modified": "20171118170723817",
            "fixedsearch": "{{$:/plugins/jd/mob/template/combinedsearch}}",
            "creator": "JD",
            "created": "20171018115714311"
        },
        "$:/plugins/jd/mob/template/titlebar": {
            "created": "20171112032454483",
            "creator": "JD",
            "text": "<div class=\"jd-title-wrapper\">\n<span class=\"tc-site-title\"><$transclude tiddler=\"$:/SiteTitle\"/></span>\n<span class=\"tc-site-subtitle\"><$transclude tiddler=\"$:/SiteSubtitle\"/></span>\n</div>\n<div class=\"jd-title-controls\">\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##searchbutton\" text=\"simple\">\n{{$:/plugins/jd/mob/button/search}}\n</$reveal>\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##searchbutton\" text=\"combined\">\n{{$:/plugins/jd/mob/button/search}}\n</$reveal>\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##searchbutton\" text=\"core\">\n{{$:/core/ui/Buttons/advanced-search}}\n</$reveal>\n{{$:/core/ui/TopBar/menu}}\n</div>",
            "title": "$:/plugins/jd/mob/template/titlebar",
            "tags": "",
            "modifier": "JD",
            "modified": "20171122134204001"
        },
        "$:/plugins/jd/mob/template/controls": {
            "created": "20171111135718973",
            "creator": "JD",
            "text": "\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-page-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]!tag[$:/tags/jd/mobno]]\">\n<$transclude/>\n</$list>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]!tag[$:/tags/jd/mobno]]\" variable=\"listItem\">\n<$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\">\n<$transclude tiddler=<<listItem>>/>\n</$reveal>\n</$list>\n{{$:/plugins/jd/mob/template/mobbuttons}}\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopRightBar]!has[draft.of]!tag[$:/tags/jd/mobno]]\">\n<$transclude/>\n</$list>\n</div>",
            "title": "$:/plugins/jd/mob/template/controls",
            "tags": "",
            "modifier": "JD",
            "modified": "20171119140040863"
        },
        "$:/plugins/jd/mob/template/bottombar": {
            "text": "<div class=\"jd-bottombar\">\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##bottombar\" text=\"controls\">\n{{$:/plugins/jd/mob/template/controls}}\n</$reveal>\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##bottombar\" text=\"mobbuttons\">\n<div class=\"tc-page-controls\">\n{{$:/plugins/jd/mob/template/mobbuttons}}\n</div>\n</$reveal>\n</div>",
            "title": "$:/plugins/jd/mob/template/bottombar",
            "tags": "$:/tags/PageTemplate",
            "modifier": "JD",
            "modified": "20171118170729880",
            "creator": "JD",
            "created": "20171115114644869"
        },
        "$:/plugins/jd/mob/template/mobbuttons": {
            "text": "\\define config-mobtitle()\n$:/config/jd/mobbutton/visibility/$(listItem)$\n\\end\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/jd/mobbutton]!has[draft.of]]\" variable=\"listItem\">\n<$reveal type=\"nomatch\" state=<<config-mobtitle>> text=\"hide\">\n<$transclude tiddler=<<listItem>>/>\n</$reveal>\n</$list>",
            "title": "$:/plugins/jd/mob/template/mobbuttons",
            "tags": "",
            "modifier": "JD",
            "modified": "20171118161831963",
            "creator": "JD",
            "created": "20171118055005587"
        },
        "$:/plugins/jd/mob/config/mobbuttons": {
            "created": "20171118051624478",
            "creator": "JD",
            "text": "\\define config-base() $:/config/jd/mobbutton/visibility/\n<h2>Mob buttons</h2>\n<p>Here are buttons tagged <b>~$:/tags/jd/mobbutton</b></p>\n<p>Choose which ones are displayed. Drag and drop to change the ordering</p>\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/jd/mobbutton\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n</$set>\n</$set>\n<br>",
            "title": "$:/plugins/jd/mob/config/mobbuttons",
            "tags": "$:/tags/jd/config",
            "modifier": "JD",
            "modified": "20171122150902808",
            "caption": "Mob buttons"
        },
        "$:/plugins/jd/mob/button/config": {
            "text": "<$button tooltip=\"Configure JD mobile layout\" class=\"tc-btn-invisible\">{{$:/core/images/theme-button}}<$action-sendmessage $message=\"tm-modal\" $param=\"$:/plugins/jd/mob/config\"/></$button>",
            "title": "$:/plugins/jd/mob/button/config",
            "tags": "$:/tags/jd/mobbutton",
            "modifier": "JD",
            "modified": "20171122114923959",
            "description": "Configure JD mobile layout",
            "creator": "JD",
            "created": "20171117090228867",
            "caption": "{{$:/core/images/theme-button}} configure JDmob"
        },
        "$:/plugins/jd/mob/stylesheet": {
            "created": "20171016123229521",
            "creator": "JD",
            "text": "@media print\n{\n.tc-sidebar-scrollable,\n.jd-search,\n.jd-topbar,\n.jd-bottombar { display: none !important; }\n}\n\n/**  CONFIG RADIO BUTTONS  **/\n\n.radbutton, .radbuttoff { \n    display: inline-block; \n    height: 12px; \n    width: 12px; \n    border: 2px solid <<colour muted-foreground>>; \n    -webkit-transition-duration: {{$:/config/AnimationDuration}}ms;\n    -moz-transition-duration: {{$:/config/AnimationDuration}}ms;\n    -ms-transition-duration: {{$:/config/AnimationDuration}}ms;\n    -o-transition-duration: {{$:/config/AnimationDuration}}ms;\n    transition-duration: {{$:/config/AnimationDuration}}ms;\n}\n\n.radbutton { background: <<colour primary>>; }\n.radbuttoff { background: <<colour muted-foreground>>; }\n.radbutton:hover, .radbuttoff:hover { \n    border: 2px solid <<colour primary>>;\n    background: <<colour primary>>; \n}\n\n.jd-bq {\n    margin: 5px;\n    padding: 5px;\n    border: 1px solid <<colour tab-border>>;\n}\n\n.jd-bq, .radbutton, .radbuttoff {\n    -webkit-border-radius: 6px;\n    -moz-border-radius: 6px;\n    -ms-border-radius: 6px;\n    -o-border-radius: 6px;\n    border-radius: 6px;\n}\n\n.jd-btn-txt {\n    border: none;\n    background: none;\n    font-size: inherit;\n    text-decoration: underline;\n    padding: 0;\n    margin: 0;\n}\n\n.jd-btn-txt:hover {\n    text-decoration: none;\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) { \n.jd-topbar, \n.jd-bottombar,\n.jd-search { display: none; }\n} \n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) { \n\n.tc-topbar { display: none !important; } \n\n.tc-tags-wrapper { margin: 5px 0 !important; }\n\n\n/**  NOTIFICATIONS  **/\n\n.tc-notification {\n    position: fixed; \n    top: 60px !important;\n    right: 10px !important;\n    z-index: {{!!z-bar}} !important;\n}\n\n.tc-modal {\n    top: 50px !important;\n    left: 50px !important;\n    right: 50px !important;\n}\n\n.tc-modal-body { max-height: calc(100vh - 200px) !important; }\n\n.tc-modal-wrapper,\n.tc-plugin-reload-warning { z-index: {{!!z-notif}} !important; }\n\n\n/**  STORY RIVER  **/\n\n.tc-story-river { \n    margin: 0 !important;\n    padding-top: 0 !important;\n}\n\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##storyfix\" text=\"no\">\n\n<$reveal type=\"nomatch\" state=\"$:/plugins/jd/mob/config/config##topbar\" text=\"hide\">\n\n@media print\n{\n.tc-story-river { margin-top: 0 !important; }\n}\n\n@media screen\n{\n.tc-story-river { margin-top: 50px !important; }\n}\n\n</$reveal>\n\n<$reveal type=\"nomatch\" state=\"$:/plugins/jd/mob/config/config##bottombar\" text=\"hide\">\n\n.tc-story-river { margin-bottom: 50px !important; }\n\n</$reveal>\n\n</$reveal>\n\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##storyfix\" text=\"yes\">\n\n.tc-story-river { \n    width: 100% !important;\n    position: fixed !important;\n    left: 0 !important;\n    overflow-y: auto !important;\n}\n\n<$reveal type=\"nomatch\" state=\"$:/plugins/jd/mob/config/config##topbar\" text=\"hide\">\n\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##bottombar\" text=\"hide\">\n.tc-story-river { \n    top: 50px !important;\n    height: calc(100% - 50px) !important;\n}\n</$reveal>\n\n<$reveal type=\"nomatch\" state=\"$:/plugins/jd/mob/config/config##bottombar\" text=\"hide\">\n.tc-story-river { \n    top: 50px !important; \n    height: calc(100% - 100px) !important;\n}\n</$reveal>\n\n</$reveal>\n\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##topbar\" text=\"hide\">\n\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##bottombar\" text=\"hide\">\n.tc-story-river { \n    top: 0 !important; \n    height: 100% !important;\n}\n</$reveal>\n\n<$reveal type=\"nomatch\" state=\"$:/plugins/jd/mob/config/config##bottombar\" text=\"hide\">\n.tc-story-river { \n    top: 0 !important; \n    height: calc(100% - 50px) !important;\n}\n</$reveal>\n\n</$reveal>\n\n</$reveal>\n\n.tc-tiddler-frame {\n    margin-bottom: 2px !important;\n    padding: 15px 10px;\n    overflow: auto;\n}\n\n\n/**  POPUPS AND DROPDOWNS INSIDE VIEW AREA  **/\n\n.tc-drop-down,\n.tc-block-dropdown {\n    position: fixed !important;\n    top: 50% !important;\n    left: 50% !important;\n    text-align: left;\n    white-space: normal !important;\n    max-height: calc(100% - 160px) !important;\n    min-width: calc(100% - 90px) !important;\n    max-width: calc(100% - 60px) !important;\n   -webkit-transform: translate(-50%, -50%) !important;\n   -moz-transform: translate(-50%, -50%) !important;\n   -ms-transform: translate(-50%, -50%) !important;\n   -o-transform: translate(-50%, -50%) !important;\n    transform: translate(-50%, -50%) !important;\n    -webkit-box-shadow: 0 0 10px 5px rgba(0,0,0,0.5);\n    -moz-box-shadow: 0 0 10px 5px rgba(0,0,0,0.5);\n    -ms-box-shadow: 0 0 10px 5px rgba(0,0,0,0.5);\n    -o-box-shadow: 0 0 10px 5px rgba(0,0,0,0.5);\n    box-shadow: 0 0 10px 5px rgba(0,0,0,0.5);\n    overflow: auto !important;\n    z-index: {{!!z-dropdown}} !important;\n}\n\n.tc-menu-list-item {\n    padding-left: 5px;\n    text-indent: -5px;\n    white-space: normal !important;\n    word-wrap: break-word !important;\n    -webkit-word-break: break-all !important;\n    -moz-word-break: break-all !important;\n    -ms-word-break: break-all !important;\n    -o-word-break: break-all !important;\n    word-break: break-all !important;\n}\n\n.tc-edit-type-dropdown { overflow: auto; }\n\n\n/**  SCROLLBARS  **/\n\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##scrollbars\" text=\"hide\">\n\nbody { \n   -ms-overflow-style: -ms-autohiding-scrollbar;\n}\n\ndiv::-webkit-scrollbar,\n.tc-edit-type-dropdown::-webkit-scrollbar,\n.tc-block-dropdown::-webkit-scrollbar,\n.tc-drop-down::-webkit-scrollbar,\n.jd-search-results::-webkit-scrollbar,\n.tc-story-river::-webkit-scrollbar,\n.tc-sidebar-scrollable::-webkit-scrollbar {\n    background: transparent;\n    width: 0;\n}\n\n</$reveal>\n\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##scrollbars\" text=\"show\">\n\nbody { \n    scrollbar-face-color: <<colour background>>;\n    scrollbar-arrow-color: <<colour page-background>>;\n    scrollbar-track-color: <<colour page-background>>;\n    scrollbar-shadow-color: <<colour page-background>>;\n}\n\ndiv::-webkit-scrollbar,\n.tc-edit-type-dropdown::-webkit-scrollbar,\n.tc-block-dropdown::-webkit-scrollbar,\n.tc-drop-down::-webkit-scrollbar,\n.tc-story-river::-webkit-scrollbar,\n.tc-sidebar-scrollable::-webkit-scrollbar {\n    background: <<colour background>>;\n    width: 6px;\n    -webkit-border-radius: 3px;\n    border-radius: 3px;\n}\n\ndiv::-webkit-scrollbar-thumb,\n.tc-edit-type-dropdown::-webkit-scrollbar-thumb,\n.tc-block-dropdown::-webkit-scrollbar-thumb,\n.tc-drop-down::-webkit-scrollbar-thumb,\n.jd-search-results::-webkit-scrollbar,\n.tc-story-river::-webkit-scrollbar-thumb,\n.tc-sidebar-scrollable::-webkit-scrollbar-thumb {\n    background: <<colour page-background>>; \n    width: 6px;\n    -webkit-border-radius: 3px;\n    border-radius: 3px;\n}\n\n.jd-search-results::-webkit-scrollbar-thumb {\n    background: <<colour primary>>;\n    width: 6px;\n    -webkit-border-radius: 3px;\n    border-radius: 3px;\n}\n\n</$reveal>\n\n\n/**  FOCUS  **/\n\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##focus\" text=\"hide\">\ntextarea:focus, select:focus, button:focus, input:focus { outline: none; }\n</$reveal>\n\n\n/**  TOPBAR & BOTTOMBAR  **/\n\n.jd-topbar,\n.jd-bottombar {\n    width: 100%;\n    position: fixed;\n    left: 0;\n    background: <<colour page-background>>;\n    overflow: hidden;\n    z-index: {{!!z-bar}};\n}\n\n.jd-topbar { top: 0; height: 50px; }\n.jd-bottombar { bottom: 0; }\n\n\n/**  SEARCH  **/\n\n.jd-search { z-index: {{!!z-search}}; }\n\n.jd-search-results {\n    background: <<colour page-background>>;\n    width: 100%;\n    position: fixed;\n    top: 50px;\n    left: 0;\n    margin: 0;\n    padding: 0 10px;\n    overflow-y: auto;\n    z-index: {{!!z-searchwrapper}};\n}\n\n<$reveal type=\"nomatch\" state=\"$:/plugins/jd/mob/config/config##bottombar\" text=\"hide\">\n.jd-search-results { max-height: calc(100% - 100px); }\n</$reveal>\n\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##bottombar\" text=\"hide\">\n.jd-search-results { max-height: calc(100% - 50px); }\n</$reveal>\n\n.jd-searchwrapper {\n    background: <<colour page-background>>;\n    position: fixed;\n    top: 0;\n    left: 0;\n    width: 100%;\n    height: 50px;\n    z-index: {{!!z-searchwrapper}};\n}\n\n.jd-searchbar {\n    width: calc(100% - 20px);\n    height: 30px; \n    position: fixed;\n    top: 0;\n    left: 0;\n    font-size: 16px !important;\n    background: transparent !important;\n    border: none;\n    border-bottom: 2px solid<<colour primary>>;\n<$reveal state=\"$:/plugins/jd/mob/config/config##searchbarchoice\" type=\"match\" text=\"combined\">\n    padding: 0 160px 0 10px;\n</$reveal>\n<$reveal state=\"$:/plugins/jd/mob/config/config##searchbarchoice\" type=\"match\" text=\"simple\">\n    padding: 0 100px 0 10px;\n</$reveal>\n    margin: 10px;\n}\n\n.jd-search-buttons {\n<$reveal state=\"$:/plugins/jd/mob/config/config##searchbarchoice\" type=\"match\" text=\"combined\">\n    width: 160px; \n</$reveal>\n<$reveal state=\"$:/plugins/jd/mob/config/config##searchbarchoice\" type=\"match\" text=\"simple\">\n    width: 100px; \n</$reveal>\n    position: fixed; \n    top: 12px;\n    right: 0; \n    background: <<colour page-background>>;\n    border: transparent;\n    margin-right: 20px; \n    text-align: right;\n    vertical-align: middle;\n}\n\n.jd-search-buttons {\n    z-index: {{!!z-searchbuttons}};\n}\n\n.jd-search-buttons .tc-popup-keep,\n.jd-search-buttons .tc-btn-invisible {\n    font-size: 18px;\n    background: transparent;\n    border: transparent;\n    cursor: pointer;\n}\n\n.jd-search-buttons .tc-btn-invisible { margin-left: 8px; }\n\n\n/**  CONTROLS **/\n\n.jd-title-controls {\n    display: flex;\n    justify-content: space-between;\n    margin: 10px;\n}\n\n.jd-search-buttons button,\n.jd-title-controls button {\n    fill: <<colour sidebar-controls-foreground>>;\n    font-size: 1.6em;\n    -webkit-transition-duration: {{$:/config/AnimationDuration}}ms;\n    -moz-transition-duration: {{$:/config/AnimationDuration}}ms;\n    -ms-transition-duration: {{$:/config/AnimationDuration}}ms;\n    -o-transition-duration: {{$:/config/AnimationDuration}}ms;\n    transition-duration: {{$:/config/AnimationDuration}}ms;\n}\n\n.jd-search-buttons button:hover,\n.jd-title-controls button:hover {\n    fill: <<colour sidebar-controls-foreground-hover>>;\n}\n\n.jd-topbar .tc-page-controls,\n.jd-bottombar .tc-page-controls {\n    display: flex;\n    justify-content: space-between;\n    height: 30px;\n    margin: 10px;\n}\n\n.tc-page-controls button { margin: 0 !important;}\n\n\n/**  TITLEBAR  **/\n\n.jd-title-wrapper .tc-site-title,\n.jd-title-wrapper .tc-site-subtitle {\n    position: absolute;\n    left: 50%;\n    text-align: center;\n   -webkit-transform: translate(-50%, 50%);\n   -moz-transform: translate(-50%, 50%);\n   -ms-transform: translate(-50%, 50%);\n   -o-transform: translate(-50%, 50%);\n    transform: translate(-50%, 50%);\n}\n\n.jd-title-wrapper .tc-site-subtitle {\n    width: calc(100% - 100px);\n}\n\n\n/**  SIDEBAR LISTS  **/\n\n.tc-sidebar-scrollable .tc-site-title,\n.tc-sidebar-scrollable .tc-site-subtitle,\n.tc-sidebar-scrollable .tc-page-controls,\n.tc-sidebar-scrollable .tc-search\n { display: none; }\n\n.tc-sidebar-header { padding: 0 !important; }\n\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"no\">\n.tc-sidebar-scrollable {\n    background: <<colour background>>;\n    width: 100%;\n    position: fixed;\n    left: 0; \n    z-index: {{!!z-sidebar}};\n    overflow: auto !important;\n}\n</$reveal>\n\n<$reveal type=\"match\" state=\"$:/state/sidebar\" text=\"no\">\n\n.tc-sidebar-scrollable { display:none; }\n\n.tc-tab-set { overflow-y: auto !important; }\n\n</$reveal>\n\n<$reveal type=\"nomatch\" state=\"$:/plugins/jd/mob/config/config##topbar\" text=\"hide\">\n\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##bottombar\" text=\"hide\">\n.tc-sidebar-scrollable { \n    top: 50px !important;\n    height: calc(100% - 50px) !important;\n}\n\n.tc-sidebar-scrollable .tc-tab-buttons { top: 50px; }\n</$reveal>\n\n<$reveal type=\"nomatch\" state=\"$:/plugins/jd/mob/config/config##bottombar\" text=\"hide\">\n.tc-sidebar-scrollable { \n    top: 50px !important;\n    height: calc(100% - 100px) !important;\n}\n\n.tc-sidebar-scrollable .tc-tab-buttons { top: 50px; }\n</$reveal>\n\n</$reveal>\n\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##topbar\" text=\"hide\">\n\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##bottombar\" text=\"hide\">\n.tc-sidebar-scrollable { \n    top: 0 !important;\n    height: 100% !important;\n}\n</$reveal>\n\n<$reveal type=\"nomatch\" state=\"$:/plugins/jd/mob/config/config##bottombar\" text=\"hide\">\n.tc-sidebar-scrollable { \n    top: 0 !important;\n    height: calc(100% - 50px) !important;\n}\n</$reveal>\n\n</$reveal>\n\n\n/**  SIDEBAR LISTS BUTTONS  **/\n\n.tc-sidebar-scrollable .tc-tab-buttons { margin: 10px; }\n\n.tc-sidebar-scrollable .tc-tab-content { \n    margin: 10px !important; \n    border: 0 !important;\n}\n\n\n/**  ADJUSTABLE  FONTS AND HEIGHTS  **/\n\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##titlebaradjust\" text=\"no\">\n.jd-title-wrapper .tc-site-title { top: -3px; font-size: 18px; }\n.jd-title-wrapper .tc-site-subtitle { top: 15px; font-size: 12px; }\n</$reveal>\n\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##titlebaradjust\" text=\"yes\">\n.jd-title-wrapper .tc-site-title { top: {{!!height-sitetitle}}; font-size: {{!!font-sitetitle}}; }\n.jd-title-wrapper .tc-site-subtitle { top: {{!!height-subsitetitle}}; font-size: {{!!font-subsitetitle}}; }\n</$reveal>\n\n<$reveal type=\"nomatch\" state=\"$:/plugins/jd/mob/config/config##fontsize\" text=\"default\">\n\n.tc-tiddler-view-frame h2.tc-title,\ninput.tc-titlebar.tc-edit-texteditor { \n    font-size: {{!!font-title}} !important; \n}\n\n.tc-tiddler-view-frame .tc-subtitle { \n    font-size: calc({{!!font-body}} - 4px) !important; \n}\n\nh1, h1 a { \n    font-size: calc({{!!font-body}} + 6px) !important; \n}\n\nh2, h2 a { \n    font-size: calc({{!!font-body}} + 4px) !important; \n}\n\nh3, h3 a { \n    font-size: calc({{!!font-body}} + 2px) !important; \n}\n\nh4, a, li, table,\ninput, textarea, select,\n.tc-tiddler-preview-preview p,\n.tc-tiddler-view-frame p,\n.tc-modal p,\n.tc-btn-text,\n.jd-search-results,\n.tc-tab-content,\n.tc-modal-header h3 { \n    font-size: {{!!font-body}} !important; \n    line-height: {{!!lineheight}} !important;\n}\n\nbutton.tc-btn-invisible.tc-remove-tag-button,\n.tc-tag-label.tc-btn-invisible { \n    font-size: calc({{!!font-body}} - 4px) !important; \n}\n\n.tc-tab-buttons button,\n.tc-tab-buttons.tc-vertical button,\n.tc-sidebar-scrollable .tc-tab-buttons button,\n.tc-sidebar-scrollable .tc-tab-buttons.tc-vertical button {\n    font-size: {{!!font-tab-button}} !important;\n}\n\n.tc-btn-invisible,\n.tc-tiddler-controls button, \n.tc-tiddler-controls button svg, \n.tc-tiddler-controls button img,\n.tc-image-buttons,\n.tc-page-controls { \n    font-size: {{!!font-button}} !important; \n}\n\n.tc-tiddler-controls button svg, \n.tc-tiddler-controls button img,\n.tc-image-buttons { \n    height: {{!!font-button}} !important; \n    width: {{!!font-button}} !important; \n}\n\n</$reveal>\n\n}",
            "z-sidebar": "1500",
            "z-searchwrapper": "2500",
            "z-searchbuttons": "4100",
            "z-search": "4000",
            "z-notif": "9000",
            "z-dropdown": "4000",
            "z-bar": "2000",
            "title": "$:/plugins/jd/mob/stylesheet",
            "tags": "$:/tags/Stylesheet",
            "modifier": "JD",
            "modified": "20180903124046078",
            "lineheight": "{{$:/temp/jd/mob/font/lineheight}}",
            "height-subsitetitle": "{{$:/temp/jd/mob/font/height-subsitetitle}}",
            "height-sitetitle": "{{$:/temp/jd/mob/font/height-sitetitle}}",
            "font-title": "{{$:/temp/jd/mob/font/font-title}}",
            "font-tab-button": "{{$:/temp/jd/mob/font/font-tab-button}}",
            "font-subsitetitle": "{{$:/temp/jd/mob/font/font-subsitetitle}}",
            "font-sitetitle": "{{$:/temp/jd/mob/font/font-sitetitle}}",
            "font-button": "{{$:/temp/jd/mob/font/font-button}}",
            "font-body": "{{$:/temp/jd/mob/font/font-body}}",
            "list-after": "$:/themes/tiddlywiki/vanilla/base"
        },
        "$:/plugins/jd/mob/config/searchbutton": {
            "created": "20171118142818660",
            "creator": "JD",
            "text": "<h3>Choose search button</h3>\n\n<$button class=\"tc-btn-invisible\">\n<<tglSearch show>>\n<$action-setfield $tiddler=\"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search\" text=\"hide\"/>\n<<jdconfig searchbarchoice simple>>\n<<jdconfig searchbutton simple>>\n<<jdradbut searchbutton simple>>\n</$button> Toggle for simple searchbar\n<br>\n<$button class=\"tc-btn-invisible\">\n<<tglSearch show>>\n<$action-setfield $tiddler=\"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search\" text=\"hide\"/>\n<<jdconfig searchbarchoice combined>>\n<<jdconfig searchbutton combined>>\n<<jdradbut searchbutton combined>>\n</$button> Toggle for combined searchbar\n<br>\n<$button class=\"tc-btn-invisible\">\n<<tglSearch hide>>\n<$action-setfield $tiddler=\"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search\" text=\"show\"/>\n<<jdconfig searchbutton core>>\n<<jdradbut searchbutton core>>\n</$button> Button to core search\n<br>\n<$button class=\"tc-btn-invisible\">\n<<tglSearch hide>>\n<$action-setfield $tiddler=\"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search\" text=\"hide\"/>\n<<jdconfig searchbutton hide>>\n<<jdradbut searchbutton hide>>\n</$button> Hidden\n<br><br>",
            "title": "$:/plugins/jd/mob/config/searchbutton",
            "tags": "",
            "modifier": "JD",
            "modified": "20171122125953528",
            "caption": "Choose search button"
        },
        "$:/plugins/jd/mob/config/titlebar": {
            "created": "20171118171842911",
            "creator": "JD",
            "text": "<h3>Vertical position</h3>\n\n<$button class=tc-btn-invisible>\n<<jdconfig titlebaradjust no>>\n<<jdradbut titlebaradjust no>>\n</$button> Default\n<br>\n<$button class=tc-btn-invisible>\n<<jdconfig titlebaradjust yes>>\n<$action-setfield $tiddler=\"$:/temp/jd/mob/font/height-sitetitle\" caption=\"Site title vertical position\" text=\"-3px\" list-after=\"$:/temp/jd/mob/font/font-sitetitle\"/>\n<$action-setfield $tiddler=\"$:/temp/jd/mob/font/font-sitetitle\" caption=\"Site title font size\" text=\"18px\"/>\n<$action-setfield $tiddler=\"$:/temp/jd/mob/font/height-subsitetitle\" caption=\"Site subtitle vertical position\" text=\"15px\" list-after=\"$:/temp/jd/mob/font/font-subsitetitle\"/>\n<$action-setfield $tiddler=\"$:/temp/jd/mob/font/font-subsitetitle\" caption=\"Site subtitle font size\" text=\"12px\"/>\n<<jdradbut titlebaradjust yes>>\n</$button> Custom\n\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##titlebaradjust\" text=\"yes\">\n\nInclude unit (''px'' or ''em'') when entering custom values\n\n<table style=\"width:100%\">\n<tr>\n<th style=\"width:40%\">Element</th>\n<th style=\"width:60%\">Adjust</th>\n</tr>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/temp/jd/mob/font/]suffix[sitetitle]]\">\n<tr>\n<td><$view field=\"caption\"/></td>\n<td><$edit-text tiddler={{!!title}} field=\"temp\" placeholder={{!!text}} class=\"texte\"/>\n<$reveal type=\"match\" state=!!temp text=\"\">\n<$button class=\"tc-btn-invisible\" style=\"color:grey; cursor:not-allowed;\">✓</$button>\n<$button class=\"tc-btn-invisible\" style=\"color:grey; cursor:not-allowed;\">✕</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=!!temp text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler={{!!title}} text={{!!temp}}/>\n<$action-setfield $tiddler={{!!title}} temp=\"\"/>✓</$button>\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler={{!!title}} temp=\"\"/>✕</$button>\n</$reveal>\n</td>\n</tr>\n</$list>\n</table>\n</$reveal>\n{{$:/plugins/jd/mob/config/searchbutton}}",
            "title": "$:/plugins/jd/mob/config/titlebar",
            "modifier": "JD",
            "modified": "20171119072342630",
            "caption": "Fonts and heights",
            "tags": ""
        },
        "$:/plugins/jd/mob/config/searchbar": {
            "created": "20171118171759396",
            "creator": "JD",
            "text": "<h3>Choose searchbar style</h3>\n\n<$button class=\"tc-btn-invisible\">\n<<tglSearch show>>\n<<jdconfig searchbarchoice combined>>\n<<jdconfig searchbutton combined>>\n<<jdradbut searchbutton combined>>\n</$button> Combined search\n<br>\n<$button class=\"tc-btn-invisible\">\n<<tglSearch show>>\n<<jdconfig searchbarchoice simple>>\n<<jdconfig searchbutton simple>>\n<<jdradbut searchbutton simple>>\n</$button> Simple search\n<p>\n<$checkbox tiddler=\"$:/config/jd/mobbutton/visibility/$:/plugins/jd/mob/button/search\" field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> Show search button at controls\n</p>",
            "title": "$:/plugins/jd/mob/config/searchbar",
            "tags": "",
            "modifier": "JD",
            "modified": "20171122123127279",
            "caption": "Choose searchbar style"
        },
        "$:/plugins/jd/mob/macros": {
            "created": "20171119044207910",
            "creator": "JD",
            "text": "\\define jdconf() $:/plugins/jd/mob/config/config\n\\define jdconfont() $:/temp/jd/mob/font/\n\\define jdconfig(config:\"\" choice:\"\")\n<$action-setfield $tiddler=<<jdconf>> $index=\"$config$\" $value=$choice$/>\n\\end\n\\define moreOps(config:\"\" choice:\"\" option:\"\")\n<$reveal type=\"match\" state=\"$(jdconf)$##$config$\" text=\"$choice$\">\n<$reveal type=\"nomatch\" state=\"$(jdconf)$##$config$$choice$ops\" text=\"show\">\n<$button class =\"jd-btn-txt\" set=\"$(jdconf)$##$config$$choice$ops\" setTo=\"show\"> Show options</$button>\n</$reveal>\n<$reveal type=\"match\" state=\"$(jdconf)$##$config$$choice$ops\" text=\"show\">\n<$button class =\"jd-btn-txt\" set=\"$(jdconf)$##$config$$choice$ops\" setTo=\"hide\"> Hide options</$button>\n<div class=\"jd-bq\">{{$:/plugins/jd/mob/config/$option$}}</div>\n</$reveal>\n</$reveal>\n<br>\n\\end\n\\define jdfont(font-title:\"\" font-body:\"\" lineheight:\"\" font-tab:\"\" font-button:\"\")\n<$action-setfield $tiddler=\"$(jdconfont)$font-title\" text=\"$font-title$\"/>\n<$action-setfield $tiddler=\"$(jdconfont)$font-body\" text=\"$font-body$\"/>\n<$action-setfield $tiddler=\"$(jdconfont)$lineheight\" text=\"$lineheight$\"/>\n<$action-setfield $tiddler=\"$(jdconfont)$font-tab-button\" text=\"$font-tab$\"/>\n<$action-setfield $tiddler=\"$(jdconfont)$font-button\" text=\"$font-button$\"/>\n\\end\n\\define jdradbut(config:\"\" choice:\"\")\n<$reveal type=\"match\" state=\"$(jdconf)$##$config$\" text=\"$choice$\"><div class=\"radbutton\"></div></$reveal>\n<$reveal type=\"nomatch\" state=\"$(jdconf)$##$config$\" text=\"$choice$\"><div class=\"radbuttoff\"></div></$reveal>\n\\end\n\\define tglSearch(choice:\"show\")\n<$action-setfield $tiddler=\"$:/config/jd/mobbutton/visibility/$:/plugins/jd/mob/button/search\" text=$choice$/>\n\\end\n\\define notPreset()\n<<jdconfig barpreset 0>>\n\\end\n\\define setTopsearchbar()\n<<jdconfig topbar fixedsearch>>\n<<jdconfig topbarchoice hide>>\n<<jdconfig searchbar yes>>\n<<jdconfig radbuttop fixedsearch>>\n\\end\n\\define setToptitlebar()\n<<jdconfig searchbar no>>\n<<jdconfig topbar title>>\n<<jdconfig topbarchoice title>>\n<<jdconfig radbuttop title>>\n\\end\n\\define setTopcontrols()\n<<jdconfig searchbar no>>\n<<jdconfig topbar controls>>\n<<jdconfig topbarchoice controls>>\n<<jdconfig radbuttop controls>>\n\\end\n\\define setTopmobbuttons()\n<<jdconfig searchbar no>>\n<<jdconfig topbar mobbuttons>>\n<<jdconfig topbarchoice mobbuttons>>\n<<jdconfig radbuttop mobbuttons>>\n\\end\n\\define setTophide()\n<<jdconfig searchbar no>>\n<<jdconfig topbar hide>>\n<<jdconfig topbarchoice hide>>\n<<jdconfig radbuttop hide>>\n\\end\n\\define noBottom()\n<<jdconfig bottombar hide>>\n\\end\n\\define setBottomcontrols()\n<<jdconfig bottombar controls>>\n\\end\n\\define setJDmobdefaults()\n<<tglSearch>>\n<<jdconfig freshinstall yes>>\n<<jdconfig configtype list>>\n<<jdfont>>\n<<jdconfig fontsize default>>\n<<jdconfig scrollbars show>>\n<<jdconfig focus show>>\n<<jdconfig storyfix no>>\n<<jdconfig titlebaradjust no>>\n<<jdconfig topbarchoice hide>>\n<<jdconfig searchbarchoice simple>>\n<<jdconfig searchbutton simple>>\n<<jdconfig barpreset 4>>\n<<setTopsearchbar>>\n<<setBottomcontrols>>\n<<jdconfig radbuttopfixedsearchops hide>>\n<<jdconfig radbuttopcontrolsops hide>>\n<<jdconfig radbuttopmobbuttonsops hide>>\n<<jdconfig radbuttoptitleops hide>>\n<<jdconfig bottombarcontrolsops hide>>\n<<jdconfig bottombarmobbuttonsops hide>>\n<<jdconfig barpreset1ops hide>>\n<<jdconfig barpreset2ops hide>>\n<<jdconfig barpreset3ops hide>>\n<<jdconfig barpreset4ops hide>>\n<$fieldmangler tiddler=\"$:/plugins/jd/mob/button/search\">\n<$action-sendmessage $message=\"tm-add-tag\" $param=\"$:/tags/jd/mobbutton\"/>\n</$fieldmangler>\n\\end",
            "title": "$:/plugins/jd/mob/macros",
            "tags": "$:/tags/Macro",
            "modifier": "JD",
            "modified": "20171122150921869"
        },
        "$:/plugins/jd/mob/button/search": {
            "created": "20171122115403541",
            "creator": "JD",
            "text": "<$reveal type=\"nomatch\" state=\"$:/plugins/jd/mob/config/config##searchbar\" text=\"yes\">\n<$button class=\"tc-btn-invisible\" tooltip=\"Show searchbar\" set=\"$:/plugins/jd/mob/config/config##searchbar\" setTo=\"yes\">\n<<jdconfig topbar search>>\n{{$:/core/images/advanced-search-button}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##searchbar\" text=\"yes\">\n<$button class=\"tc-btn-invisible\" tooltip=\"Hide searchbar\" set=\"$:/plugins/jd/mob/config/config##searchbar\" setTo=\"no\">\n<<jdconfig topbar hide>>\n{{$:/core/images/advanced-search-button}}\n</$button>\n</$reveal>",
            "title": "$:/plugins/jd/mob/button/search",
            "tags": "$:/tags/jd/mobbutton",
            "modifier": "JD",
            "modified": "20171122154523596",
            "description": "Toggle searchbar visibility",
            "caption": "{{$:/core/images/advanced-search-button}} search"
        },
        "$:/plugins/jd/mob/template/search": {
            "created": "20171018115714311",
            "creator": "JD",
            "text": "\\define NewTidActions(searcharea)\n<$action-createtiddler $basetitle={{$searcharea$}} $savetitle=\"$:/temp/NewTidTitle\"/>\n<$action-sendmessage $message=\"tm-edit-tiddler\" $param={{$:/temp/NewTidTitle}}/>\n<$action-deletetiddler $tiddler=\"$:/temp/NewTidTitle\"/>\n<$action-setfield $tiddler=\"$searcharea$\" text=\"\"/>\n\\end\n\n\\define NewTidBtn(searcharea)\n<$button tooltip=\"Create new tiddler with this title\" class=\"tc-btn-invisible\" actions=<<NewTidActions \"$searcharea$\">>>\n{{$:/core/images/new-button}}\n</$button>\n\\end\n\n\\define lingo-base() $:/language/Search/\n<$reveal state=\"$:/plugins/jd/mob/config/config##searchbar\" type=\"match\" text=\"yes\" default=\"yes\" retain=\"yes\" animate=\"yes\">\n\n<$reveal state=\"$:/plugins/jd/mob/config/config##searchbarchoice\" type=\"match\" text=\"simple\">\n<div class=\"jd-search\">\n<$keyboard class=\"jd-searchwrapper\" tag=\"div\" key=\"ctrl+space\" actions=<<NewTidActions \"$:/temp/search\">>>\n<$edit-text tiddler=\"$:/temp/search\" type=\"search\" tag=\"input\" placeholder={{$:/language/Search/Search}} class=\"jd-searchbar\"/>\n</$keyboard>\n<div class=\"jd-search-buttons\">\n<$list filter=\"[[$:/temp/search]!text[]]\" variable=\"statecheck\">\n<<NewTidBtn \"$:/temp/search\">>\n</$list>\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##radbuttop\" text=\"fixedsearch\">\n<$button tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" text={{$:/temp/search}}/>\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n{{$:/core/images/advanced-search-button}}\n</$button>\n<$list filter=\"[[$:/temp/search]!text[]]\" variable=\"statecheck\">\n<$button class=\"tc-btn-invisible\" tooltip=\"Clear searchbar\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" text=\"\"/>\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$list>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/plugins/jd/mob/config/config##radbuttop\" text=\"fixedsearch\">\n<$button tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n<<jdconfig searchbar no>>\n<<jdconfig topbar {{$:/plugins/jd/mob/config/config##topbarchoice}}>>\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" text={{$:/temp/search}}/>\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n{{$:/core/images/advanced-search-button}}\n</$button>\n<$button class=\"tc-btn-invisible\" tooltip=\"Clear and hide searchbar\">\n<<jdconfig searchbar no>>\n<<jdconfig topbar {{$:/plugins/jd/mob/config/config##topbarchoice}}>>\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" text=\"\"/>\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n<div class=\"jd-search-results\">\n<$list filter=\"[[$:/temp/search]!text[]]\" variable=\"statecheck\">\n<$scrollable fallthrough=\"no\" class=\"results\">\n<$set name=\"searchTiddler\" value=\"$:/temp/search\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude/>\n</$list>\n\"\"\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}}/>\n</$list>\n</$set>\n</$scrollable>\n</$list>\n</div>\n</div>\n</$reveal>\n\n<$reveal state=\"$:/plugins/jd/mob/config/config##searchbarchoice\" type=\"match\" text=\"combined\">\n<div class=\"jd-search\">\n<$keyboard class=\"jd-searchwrapper\" tag=\"div\" key=\"ctrl+space\" actions=<<NewTidActions \"$:/temp/advancedsearch\">>>\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" placeholder={{$:/language/Search/Search}} class=\"jd-searchbar\"/>\n</$linkcatcher>\n</$keyboard>\n<div class=\"jd-search-buttons\">\n<$list filter=\"[[$:/temp/advancedsearch]!text[]]\" variable=\"statecheck\">\n<<NewTidBtn \"$:/temp/advancedsearch\">>\n</$list>\n{{$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete}}\n{{$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown}}\n{{$:/core/ui/AdvancedSearch/Filter/FilterButtons/export}}\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##radbuttop\" text=\"fixedsearch\">\n{{$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear}} \n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/plugins/jd/mob/config/config##radbuttop\" text=\"fixedsearch\">\n<$button class=\"tc-btn-invisible\" tooltip=\"Clear and hide searchbar\">\n<<jdconfig searchbar no>>\n<<jdconfig topbar {{$:/plugins/jd/mob/config/config##topbarchoice}}>>\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" text=\"\"/>\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n<div class=\"jd-search-results\">\n<!--STANDARD-->\n<$list filter=\"[[$:/temp/advancedsearch]!text[]]\" variable=\"statecheck\">\n<br>\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"{{$:/language/Search/Search/TooShort}}\"\"\" variable=\"listItem\">\n<$set name=\"searchTiddler\" value=\"$:/temp/advancedsearch\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude/>\n</$list>\n\"\"\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}}/>\n</$list>\n</$set>\n</$list>\n</$list>\n<!--STANDARD-->\n<!--FILTER-->\n<$list filter=\"[[$:/temp/advancedsearch]!text[]]\" variable=\"statecheck\">\n<br><br>\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\nFilter search: <<lingo Filter/Matches>>\n<$list filter={{$:/temp/advancedsearch}} template=\"$:/core/ui/ListItemTemplate\"/>\n</$set>\n</$list>\n<!--FILTER-->\n<!--SYSTEM-->\n<$list filter=\"[[$:/temp/advancedsearch]!text[]]\" variable=\"statecheck\">\n<br>\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" variable=\"listItem\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[is[system]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]]\"/>\"\"\">\nSystem search: <<lingo System/Matches>>\n<$list filter=\"[is[system]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</$set>\n</$list>\n</$list>\n<!--SYSTEM-->\n<!--SHADOWS-->\n<$list filter=\"[[$:/temp/advancedsearch]!text[]]\" variable=\"statecheck\">\n<br>\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" variable=\"listItem\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[all[shadows]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]]\"/>\"\"\">\nShadows search: <<lingo Shadows/Matches>>\n<$list filter=\"[all[shadows]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</$set>\n</$list>\n</$list>\n<!--SHADOWS-->\n</div>\n</div>\n</$reveal>\n</$reveal>",
            "title": "$:/plugins/jd/mob/template/search",
            "tags": "$:/tags/PageTemplate",
            "modifier": "JD",
            "modified": "20180903123722931"
        },
        "$:/plugins/jd/mob/config/misc": {
            "created": "20171122140327337",
            "creator": "JD",
            "text": "<h2>Miscellaneous</h2>\n<h3>Config button</h3>\n<$checkbox tiddler=\"$:/config/jd/mobbutton/visibility/$:/plugins/jd/mob/button/config\" field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> Show {{$:/core/images/theme-button}} button at ''Controls'' / ''Mobbuttons''\n<br><br>\n<hr>\n<h3>Scrollbars</h3>\n<$button class=\"tc-btn-invisible\">\n<<jdconfig scrollbars hide>>\n<<jdradbut scrollbars hide>>\n</$button> Invisible scrollbars\n<br>\n<$button class=\"tc-btn-invisible\">\n<<jdconfig scrollbars show>>\n<<jdradbut scrollbars show>>\n</$button> Visible scrollbars\n<br><br>\n<hr>\n<h3>Focus</h3>\n<p>Here we can hide the hightlight / outline on focused text inputs and buttons</p>\n<$button class=\"tc-btn-invisible\">\n<<jdconfig focus show>>\n<<jdradbut focus show>>\n</$button> Default\n<br>\n<$button class=\"tc-btn-invisible\">\n<<jdconfig focus hide>>\n<<jdradbut focus hide>>\n</$button> Hide focus\n<br><br>\n<hr>\n<h3>Story river</h3>\nHere we can try to stop the fist tiddler in the story river from scrolling past the topbar\n<br>\n''Side effects:''\n<br>\n<li>For ''classic'' and ''pop'' story view: tiddlers won't automatically scroll into view on link click</li>\n<li>Browser search bar won't automatically hide on scroll up (tested on Chrome for Android)</li>\n<br>\n<$button class=\"tc-btn-invisible\">\n<<jdconfig storyfix yes>>\n<<jdradbut storyfix yes>>\n</$button> Apply \n<br>\n<$button class=\"tc-btn-invisible\">\n<<jdconfig storyfix no>>\n<<jdradbut storyfix no>>\n</$button> Don't apply\n<br><br>\n<hr>\n<h3>Restore defaults</h3>\n<div class=\"jd-bq\">\n<p>\nTo reset to...\n</p>\n<p>\nDefault font size,  Visible scrollbars, ''Simple searchbar'' on top, ''Controls'' on bottom,  ''Simple searchbar button'' on controls,  Story river hack not applied...\n</p>\n<p>\nClick:\n</p>\n<p>\n<$reveal type=\"nomatch\" state=\"$:/plugins/jd/mob/config/config##defaultconfirm\" text=\"confirm\">\n<$button class=\"jd-btn-txt\">\n<<jdconfig defaultconfirm confirm>>\nRestore defaults\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/plugins/jd/mob/config/config##defaultconfirm\" text=\"confirm\">\n<$button class=\"jd-btn-txt\">\n<<setJDmobdefaults>>\n<<jdconfig defaultconfirm cancel>>\nConfirm\n</$button>\n<$button class=\"jd-btn-txt\">\n<<jdconfig defaultconfirm cancel>>\nCancel\n</$button>\n</$reveal>\n</p>\n</div>\n<br>",
            "title": "$:/plugins/jd/mob/config/misc",
            "tags": "$:/tags/jd/config",
            "modified": "20171122141012375",
            "modifier": "JD",
            "caption": "Miscellaneous"
        }
    }
}

freshinstall: no
defaultconfirm: cancel
configtype: list
fontsize: default
scrollbars: show
barpreset: 4
storyfix: no
titlebaradjust: no
topbar: fixedsearch
topbarchoice: hide
searchbar: yes
radbuttop: fixedsearch
searchbarchoice: simple
bottombar: controls
radbuttopfixedsearchops: hide
radbuttopcontrolsops: hide
radbuttopmobbuttonsops: hide
radbuttoptitleops: hide
bottombarcontrolsops: hide
bottombarmobbuttonsops: hide
barpreset1ops: hide
barpreset2ops: hide
barpreset3ops: hide
barpreset4ops: hide
searchbutton: simple
focus: show

{
    "tiddlers": {
        "$:/sk/WhiteList": {
            "text": "LeDoux,McCloud,McDonald,TiddlyWiki,TiddlyWiki5,CamelCase,DuBay,McGraw,McCullough,LeGrange,NaCl,MeOH,EtOH,PiB,TiddlyTools,ResetFind,WikiText,WinBuilder,WinPE,ProgramData,TiddlyFox,GuillermoMartin,AndrewFraser,RochesterMNwalkers,DEdwardsCalgary,WalkaboutMM,HarveyG,McCoy,GeForce,SideBar,AirBnB,PayPal,LeBron,JavaScript,ExpressJet,CutePDF,McClouds,McElroy,McGovern,TableHelper,ShadowTiddler",
            "caption": "Words to never consider as CamelCase links",
            "created": "20150210172146298",
            "creator": "Stephen",
            "description": "Words that should never be considered as CamelCase wikiwords. Separate the individual words with commas (,).",
            "modified": "20160427151253707",
            "modifier": "Stephen",
            "tags": "ske",
            "title": "$:/sk/WhiteList"
        },
        "$:/core/modules/parsers/wikiparser/rules/wikilink.js": {
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikilink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for wiki links. For example:\n\n```\nAWikiLink\nAnotherLink\n~SuppressedLink\n```\n\nPrecede a camel case word with `~` to prevent it from being recognised as a link.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"wikilink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp($tw.config.textPrimitives.unWikiLink + \"?\" + $tw.config.textPrimitives.wikiLink,\"mg\");\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get the details of the match\n\tvar linkText = this.match[0];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// If the link starts with the unwikilink character then just output it as plain text\n\tif(linkText.substr(0,1) === $tw.config.textPrimitives.unWikiLink) {\n\t\treturn [{type: \"text\", text: linkText.substr(1)}];\n\t}\n// If the link is on the whitelist then just output is as plain text\nvar dummy = \"$:/sk/WhiteList\"\nvar whitelist=$tw.wiki.getTiddlerText(dummy).split(\",\");\nvar n=whitelist.indexOf(linkText);\n\nif(n>-1) {\n\t\t\treturn [{type: \"text\", text: linkText}];\n}\n\t// If the link has been preceded with a blocked letter then don't treat it as a link\n\tif(this.match.index > 0) {\n\t\tvar preRegExp = new RegExp($tw.config.textPrimitives.blockPrefixLetters,\"mg\");\n\t\tpreRegExp.lastIndex = this.match.index-1;\n\t\tvar preMatch = preRegExp.exec(this.parser.source);\n\t\tif(preMatch && preMatch.index === this.match.index-1) {\n\t\t\treturn [{type: \"text\", text: linkText}];\n\t\t}\n\t}\n\treturn [{\n\t\ttype: \"link\",\n\t\tattributes: {\n\t\t\tto: {type: \"string\", value: linkText}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: linkText\n\t\t}]\n\t}];\n};\n\n})();\n",
            "created": "20150209183326265",
            "creator": "Stephen",
            "modified": "20150210183324354",
            "modifier": "Stephen",
            "module-type": "wikirule",
            "tags": "ske",
            "title": "$:/core/modules/parsers/wikiparser/rules/wikilink.js",
            "type": "application/javascript"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/snowgoon88/edit-comptext/config": {
            "title": "$:/plugins/snowgoon88/edit-comptext/config",
            "type": "application/json",
            "text": "{\n  \"configuration\": {\n      \"caseSensitive\" : false,\n      \"maxMatch\" : 8,\n      \"minPatLength\" : 2,\n      \"triggerKeyCombination\" : \"^ \"\n  },\n  \"template\": [{\n      \"pattern\": \"[[\",\n      \"filter\": \"[all[tiddlers]!is[system]]\",\n      \"start\": \"[[\",\n      \"end\": \"]]\"\n      }\n  ]\n}\n"
        },
        "$:/plugins/snowgoon88/edit-comptext/edit-comptext.js": {
            "title": "$:/plugins/snowgoon88/edit-comptext/edit-comptext.js",
            "text": "/*\\\ntitle: $:/plugins/snowgoon88/edit-comptext/edit-comptext.js\ntype: application/javascript\nmodule-type: widget\n\nTaken from original Edit-text widget\nVersion 5.1.13 of TW5\nAdd link-to-tiddler completion in framed.js and simple.js\n\nTODO : CHECK usefull, and particularly save_changes after every input ??\nTODO : where should popupNode be created in the DOM ?\nTODO : check that options are valid (numeric ?)\nvar isNumeric = function(n) {\n  return !isNaN(parseFloat(n)) && isFinite(n);\n};\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar editTextWidgetFactory = require(\"$:/core/modules/editor/factory.js\").editTextWidgetFactory,\n\tFramedCompEngine = require(\"$:/plugins/snowgoon88/edit-comptext/framed.js\").FramedCompEngine,\n\tSimpleCompEngine = require(\"$:/plugins/snowgoon88/edit-comptext/simple.js\").SimpleCompEngine;\n\nexports[\"edit-comptext\"] = editTextWidgetFactory(FramedCompEngine,SimpleCompEngine);\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/plugins/snowgoon88/edit-comptext/examples": {
            "title": "$:/plugins/snowgoon88/edit-comptext/examples",
            "text": "The configuration file [[$:/plugins/snowgoon88/edit-comptext/config]] allow you to use the completion plugin for various usages. Here are some examples...\n\n!! Link Completion\nThe basic and default usage. Completion is triggered by `[[`, the search is among all non-system tiddlers. When selected, the `title` of the tiddler is inserted in the text, surrounded by `[[` and `]]`. This gives the following Completion Template.\n\n\n```\n{\n      \"pattern\": \"[[\",\n      \"title\": \"[all[tiddlers]!is[system]]\",\n      \"start\": \"[[\",\n      \"end\": \"]]\"\n}\t     \n```\n\n\n!! Special macro completion\nI have a 'pnjin' macro that is invoked by `<<pnjin \"TiddlerPNJName\">>` where 'TiddlerPNJName is a tiddler that hold data about a PNJ. I use tiddlywiki to organise my Role Playing Games campaigns. So, I want `<p` to trigger the completion. The search is among all non-system tiddlers tagged `PNJ` and, once selected, the title of the tiddler must be inserted surrouned by `<<pnjin \\\"` and `\\\">>`. So...\n\n```\n{\n\t\"pattern\": \"<p\",\n      \t\"title\": \"[tag[PNJ]!is[system]]\",\n      \t\"start\": \"<<pnjin  \\\"\",\n      \t\"end\": \"\\\">>\"\n}\n```\n\n!! Insert some templates or stamp or snippets into text.\nI frequently use some text pattern and I want to insert them easily. So, I could create several tiddlers, tagged '$:stamp' and in their body are the piece of texte I want to insert. The titles of these tiddlers always start with `$:/config/stamp/` (i.e. $:/config/stamp/macro, $:/config/stamp/list1, $:/config/stamp/list2). I want to trigger the completion by using `<<`, then I only want to chose among the last part of the titles of tiddlers tagged `$:stamp` so I use a mask (`$:/config/stamp/`) to only display the last part of the tiddlers title. When selectected, the `body` of the tiddler is inserted, with no surrounding strings. As a results, the Completion Template is (notice the `body` field):\n\n```\n{\n      \"pattern\": \"<<\",\n      \"body\": \"[tag[$:stamp]]\",\n      \"mask\" : \"$:/config/stamp/\",\n      \"start\": \"\",\n      \"end\": \"\"\n}\n```\n\n!! And you ?\nIf you have funny usages of completion, let me know. If you'd like to do something that is not yet possible, let me know...\n\nmail : snowgoon88(AT)gmail(DOT)com"
        },
        "$:/plugins/snowgoon88/edit-comptext/framed.js": {
            "text": "/*\\\ntitle: $:/plugins/snowgoon88/edit-comptext/framed.js\ntype: application/javascript\nmodule-type: library\n\nTaken from $:/core/modules/editor/engines/framed.js\nText editor engine based on a simple input or textarea within an iframe. This is done so that the selection is preserved even when clicking away from the textarea\n\n\\*/\n(function(){\n\n/*jslint node: true,browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\n// Configuration tiddler\nvar COMPLETION_OPTIONS = \"$:/plugins/snowgoon88/edit-comptext/config\";\nvar Completion = require(\"$:/plugins/snowgoon88/edit-comptext/completion.js\").Completion;\n\t\nfunction FramedCompEngine(options) {\n       //DEBUG console.log( \"==FramedCompEngine::creation\" );\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\n\t// Completion\n\t// Load Completion configuration as JSON\n    this._configOptions = $tw.wiki.getTiddlerData( COMPLETION_OPTIONS, {} );\n\t\n\t// Create our hidden dummy text area for reading styles\n\tthis.dummyTextArea = this.widget.document.createElement(\"textarea\");\n\tif(this.widget.editClass) {\n\t\tthis.dummyTextArea.className = this.widget.editClass;\n\t}\n\tthis.dummyTextArea.setAttribute(\"hidden\",\"true\");\n\tthis.parentNode.insertBefore(this.dummyTextArea,this.nextSibling);\n\tthis.widget.domNodes.push(this.dummyTextArea);\n\t// Create dummy popup for reading its styles\n\t//this._dummyCompletion = new Completion( this.widget, this.dummyTextArea, this._configOptions);\n\t//REMOVEthis._dummyCompletion.setAttribute(\"hidden\",\"true\");\n\t\n\t// Create the iframe\n\tthis.iframeNode = this.widget.document.createElement(\"iframe\");\n\tthis.parentNode.insertBefore(this.iframeNode,this.nextSibling);\n\tthis.iframeDoc = this.iframeNode.contentWindow.document;\n\t// (Firefox requires us to put some empty content in the iframe)\n\tthis.iframeDoc.open();\n\tthis.iframeDoc.write(\"\");\n\tthis.iframeDoc.close();\n\t// Style the iframe\n\tthis.iframeNode.className = this.dummyTextArea.className;\n\tthis.iframeNode.style.border = \"none\";\n\tthis.iframeNode.style.padding = \"0\";\n\tthis.iframeNode.style.resize = \"none\";\n\tthis.iframeDoc.body.style.margin = \"0\";\n\tthis.iframeDoc.body.style.padding = \"0\";\n\tthis.widget.domNodes.push(this.iframeNode);\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.iframeDoc.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.iframeDoc.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\t// Copy the styles from the dummy textarea\n\tthis.copyStyles();\n\t// Add event listeners\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"input\",handlerObject: this,handlerMethod: \"handleInputEvent\"},\n\t\t{name: \"keydown\",handlerObject: this.widget,handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.iframeDoc.body.appendChild(this.domNode);\n\n\t// add Completion popup\n    this._completion = new Completion( this.widget, this.domNode, this._configOptions, this.dummyTextArea, this.iframeNode.offsetTop, this.iframeNode.offsetLeft );\n\t// print iframe offset\n\t//DEBUG console.log( \"  __iframe.offsetLeft: \"+this.iframeNode.offsetLeft );\n    //DEBUG console.log( \"  __iframe.offsetTop: \"+this.iframeNode.offsetTop );\n    \n\t// Copy all styles from dummyCompletion\n\t//$tw.utils.copyStyles(this._dummyCompletion._popNode, this._completion._popNode);\n\t// Override the ones that should not be set the same as the dummy textarea\n\t//this._completion._popNode.style.display = \"block\";\n\t//this._completion._popNode.style.width = \"100%\";\n\t//this._completion._popNode.style.margin = \"0\";\n\t// In Chrome setting -webkit-text-fill-color overrides the placeholder text colour\n\t//this._completion._popNode.style[\"-webkit-text-fill-color\"] = \"currentcolor\";\n     \n}\n\n/*\nCopy styles from the dummy text area to the textarea in the iframe\n*/\nFramedCompEngine.prototype.copyStyles = function() {\n\t// Copy all styles\n\t$tw.utils.copyStyles(this.dummyTextArea,this.domNode);\n\t// Override the ones that should not be set the same as the dummy textarea\n\tthis.domNode.style.display = \"block\";\n\tthis.domNode.style.width = \"100%\";\n\tthis.domNode.style.margin = \"0\";\n\t// In Chrome setting -webkit-text-fill-color overrides the placeholder text colour\n\tthis.domNode.style[\"-webkit-text-fill-color\"] = \"currentcolor\";\n};\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nFramedCompEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode) {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nFramedCompEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nFramedCompEngine.prototype.fixHeight = function() {\n\t// Make sure styles are updated\n\tthis.copyStyles();\n\t// Adjust height\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\tvar newHeight = $tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t\tthis.iframeNode.style.height = (newHeight + 14) + \"px\"; // +14 for the border on the textarea\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t\tthis.iframeNode.style.height = (fixedHeight + 14) + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nFramedCompEngine.prototype.focus  = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nFramedCompEngine.prototype.handleInputEvent = function(event) {\n        //DEBUG console.log( \"__framed.js::handleInputEvent\");\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nFramedCompEngine.prototype.createTextOperation = function() {\n\tvar operation = {\n\t\ttext: this.domNode.value,\n\t\tselStart: this.domNode.selectionStart,\n\t\tselEnd: this.domNode.selectionEnd,\n\t\tcutStart: null,\n\t\tcutEnd: null,\n\t\treplacement: null,\n\t\tnewSelStart: null,\n\t\tnewSelEnd: null\n\t};\n\toperation.selection = operation.text.substring(operation.selStart,operation.selEnd);\n\treturn operation;\n};\n\n/*\nExecute a text operation\n*/\nFramedCompEngine.prototype.executeTextOperation = function(operation) {\n\t// Perform the required changes to the text area and the underlying tiddler\n\tvar newText = operation.text;\n\tif(operation.replacement !== null) {\n\t\tnewText = operation.text.substring(0,operation.cutStart) + operation.replacement + operation.text.substring(operation.cutEnd);\n\t\t// Attempt to use a execCommand to modify the value of the control\n\t\tif(this.iframeDoc.queryCommandSupported(\"insertText\") && this.iframeDoc.queryCommandSupported(\"delete\") && !$tw.browser.isFirefox) {\n\t\t\tthis.domNode.focus();\n\t\t\tthis.domNode.setSelectionRange(operation.cutStart,operation.cutEnd);\n\t\t\tif(operation.replacement === \"\") {\n\t\t\t\tthis.iframeDoc.execCommand(\"delete\",false,\"\");\n\t\t\t} else {\n\t\t\t\tthis.iframeDoc.execCommand(\"insertText\",false,operation.replacement);\n\t\t\t}\n\t\t} else {\n\t\t\tthis.domNode.value = newText;\n\t\t}\n\t\tthis.domNode.focus();\n\t\tthis.domNode.setSelectionRange(operation.newSelStart,operation.newSelEnd);\n\t}\n\tthis.domNode.focus();\n\treturn newText;\n};\n\nexports.FramedCompEngine = FramedCompEngine;\n\n})();\n",
            "type": "application/javascript",
            "title": "$:/plugins/snowgoon88/edit-comptext/framed.js",
            "module-type": "library"
        },
        "$:/plugins/snowgoon88/edit-comptext/simple.js": {
            "text": "/*\\\ntitle: $:/plugins/snowgoon88/edit-comptext/simple.js\ntype: application/javascript\nmodule-type: library\n\nTaken from $:/core/modules/editor/engines/simple.js\nText editor engine based on a simple input or textarea tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\n// Configuration tiddler\nvar COMPLETION_OPTIONS = \"$:/plugins/snowgoon88/edit-comptext/config\";\nvar Completion = require(\"$:/plugins/snowgoon88/edit-comptext/completion.js\").Completion;\n\nfunction SimpleCompEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\n    // Completion\n\t// Load Completion configuration as JSON\n    this._configOptions = $tw.wiki.getTiddlerData( COMPLETION_OPTIONS, {} );\n\t\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.widget.document.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.widget.document.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editClass) {\n\t\tthis.domNode.className = this.widget.editClass;\n\t}\n\t// Add an input event handler\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"focus\", handlerObject: this, handlerMethod: \"handleFocusEvent\"},\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.parentNode.insertBefore(this.domNode,this.nextSibling);\n\tthis.widget.domNodes.push(this.domNode);\n\n\t// add Completion popup\n    this._completion = new Completion( this.widget, this.domNode, this._configOptions );\n}\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nSimpleCompEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode) {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nSimpleCompEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nSimpleCompEngine.prototype.fixHeight = function() {\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\t$tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nSimpleCompEngine.prototype.focus  = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nSimpleCompEngine.prototype.handleInputEvent = function(event) {\n\tconsole.log( \"__simple.js::handleInputEvent\");\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nHandle a dom \"focus\" event\n*/\nSimpleCompEngine.prototype.handleFocusEvent = function(event) {\n\tif(this.widget.editFocusPopup) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNode,\n\t\t\ttitle: this.widget.editFocusPopup,\n\t\t\twiki: this.widget.wiki,\n\t\t\tforce: true\n\t\t});\n\t}\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nSimpleCompEngine.prototype.createTextOperation = function() {\n\treturn null;\n};\n\n/*\nExecute a text operation\n*/\nSimpleCompEngine.prototype.executeTextOperation = function(operation) {\n};\n\nexports.SimpleCompEngine = SimpleCompEngine;\n\n})();\n",
            "type": "application/javascript",
            "title": "$:/plugins/snowgoon88/edit-comptext/simple.js",
            "module-type": "library"
        },
        "$:/plugins/snowgoon88/edit-comptext/cursor-position.js": {
            "text": "/*\\\nModule that compute the pixel position of the cursor of a text\nements.\n\nTaken from https://github.com/component/textarea-caret-position\n\n(as https://github.com/kir/js_cursor_position is not updated any more)\n\\*/\n// Fonction anonyme executée immediatement\n( function(){\n \n// The properties that we copy into a mirrored div.\n// Note that some browsers, such as Firefox,\n// do not concatenate properties, i.e. padding-top, bottom etc. -> padding,\n// so we have to do every single property specifically.\nvar properties = [\n  'direction',  // RTL support\n  'boxSizing',\n  'width',  // on Chrome and IE, exclude the scrollbar, so the mirror div wraps exactly as the textarea does\n  'height',\n  'overflowX',\n  'overflowY',  // copy the scrollbar for IE\n\n  'borderTopWidth',\n  'borderRightWidth',\n  'borderBottomWidth',\n  'borderLeftWidth',\n  'borderStyle',\n\n  'paddingTop',\n  'paddingRight',\n  'paddingBottom',\n  'paddingLeft',\n\n  // https://developer.mozilla.org/en-US/docs/Web/CSS/font\n  'fontStyle',\n  'fontVariant',\n  'fontWeight',\n  'fontStretch',\n  'fontSize',\n  'fontSizeAdjust',\n  'lineHeight',\n  'fontFamily',\n\n  'textAlign',\n  'textTransform',\n  'textIndent',\n  'textDecoration',  // might not make a difference, but better be safe\n\n  'letterSpacing',\n  'wordSpacing',\n\n  'tabSize',\n  'MozTabSize'\n\n];\nvar isFirefox = false;\nif($tw.browser) {\n    isFirefox = window.mozInnerScreenX != null;\n}\n\nfunction getCaretCoordinates(element, position, options) {\n\n  var debug = options && options.debug || false;\n  if (debug) {\n    var el = document.querySelector('#input-textarea-caret-position-mirror-div');\n    if ( el ) { el.parentNode.removeChild(el); }\n  }\n\n  // mirrored div\n  var div = document.createElement('div');\n  div.id = 'input-textarea-caret-position-mirror-div';\n  document.body.appendChild(div);\n\n  var style = div.style;\n  var computed;\n  if($tw.browser) {\n      computed = window.getComputedStyle? getComputedStyle(element) : element.currentStyle;  // currentStyle for IE < 9\n  } \n  else {\n      computed = element.currentStyle;\n  }\n    \n\n  // default textarea styles\n  style.whiteSpace = 'pre-wrap';\n  if (element.nodeName !== 'INPUT')\n    style.wordWrap = 'break-word';  // only for textarea-s\n\n  // position off-screen\n  style.position = 'absolute';  // required to return coordinates properly\n  if (!debug)\n    style.visibility = 'hidden';  // not 'display: none' because we want rendering\n\n  // transfer the element's properties to the div\n  properties.forEach(function (prop) {\n    style[prop] = computed[prop];\n  });\n\n  if (isFirefox) {\n    // Firefox lies about the overflow property for textareas: https://bugzilla.mozilla.org/show_bug.cgi?id=984275\n    if (element.scrollHeight > parseInt(computed.height))\n      style.overflowY = 'scroll';\n  } else {\n    style.overflow = 'hidden';  // for Chrome to not render a scrollbar; IE keeps overflowY = 'scroll'\n  }\n\n  div.textContent = element.value.substring(0, position);\n  // the second special handling for input type=\"text\" vs textarea: spaces need to be replaced with non-breaking spaces - http://stackoverflow.com/a/13402035/1269037\n  if (element.nodeName === 'INPUT')\n    div.textContent = div.textContent.replace(/\\s/g, \"\\u00a0\");\n\n  var span = document.createElement('span');\n  // Wrapping must be replicated *exactly*, including when a long word gets\n  // onto the next line, with whitespace at the end of the line before (#7).\n  // The  *only* reliable way to do that is to copy the *entire* rest of the\n  // textarea's content into the <span> created at the caret position.\n  // for inputs, just '.' would be enough, but why bother?\n  span.textContent = element.value.substring(position) || '.';  // || because a completely empty faux span doesn't render at all\n  div.appendChild(span);\n\n  var coordinates = {\n    top: span.offsetTop + parseInt(computed['borderTopWidth']),\n    left: span.offsetLeft + parseInt(computed['borderLeftWidth'])\n  };\n\n  if (debug) {\n    span.style.backgroundColor = '#aaa';\n  } else {\n    document.body.removeChild(div);\n  }\n\n  return coordinates;\n}\n\n// Exporte as a module of node.js otherwise set as global\nif (typeof module != \"undefined\" && typeof module.exports != \"undefined\") {\n  module.exports = getCaretCoordinates;\n} else {\n  window.getCaretCoordinates = getCaretCoordinates;\n}\n\n})();\n",
            "type": "application/javascript",
            "title": "$:/plugins/snowgoon88/edit-comptext/cursor-position.js",
            "module-type": "library"
        },
        "$:/plugins/snowgoon88/edit-comptext/completion.js": {
            "text": "/*\\\ntitle: $:/plugins/snowgoon88/edit-comptext/completion.js\ntype: application/javascript\nmodule-type: library\n\nTry to make self-contained completion module.\n\nTo use this 'module', you need a `widget` with a kind of `editarea` node.\nI do not know the exacte prerequisites of this editarea node for the module to\nwork, but mostly one should be able to attach the following `eventHandler` to\nit:\n - input\n - keydown\n - keypress\n - keyup\nThe `widget` is needed because I use:\n - widget.document\n - widget.wiki.filterTiddlers(...)\n\nFrom the Widget, once you have a proper editarea, you just have to call\n - var completion = new Completion( theWidget, theEditAreaNode, configObject);\nwhere `configObject` is expected to have the following fields. if a field is missing, a default value will be given.\nOne can have many `elements' in the template array.\n\n{\n  \"configuration\": {\n      \"caseSensitive\" : false,\n      \"maxMatch\" : 8,\n      \"minPatLength\" : 2,\n      \"triggerKeyCombination\" : \"^ \"\n  },\n  \"template\": [{\n      \"pattern\": \"[[\",\n      \"filter\": \"[all[tiddlers]!is[system]]\",\n      \"start\": \"[[\",\n      \"end\": \"]]\"\n      }\n  ]\n}\n\nTODO : CHECK if needed\n\\*/\n\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// To compute pixel coordinates of cursor\nvar getCaretCoordinates = require(\"$:/plugins/snowgoon88/edit-comptext/cursor-position.js\");\n\n/** Default Completion Attributes */\nvar DEFATT = { maxMatch: 5, minPatLength: 2, caseSensitive: false, triggerKeyCombination: \"^ \" };\n\n/** \n * Struct for generic Completion Templates.\n * <ul>\n * <li>pat : pattern searched for.</li>\n * <li>filter : filter operation used to find the list of completion options</li>\n * <li>mask: replaced by \"\" when presenting completion options</li>\n * </ul>\n */\nvar Template = function( pat, filter, mask, field, start, end  ) {\n    this.pat = pat;\n    this.filter = filter;\n    this.mask = \"^\"+regExpEscape(mask);\n    this.field = field;\n    this.start = start;\n    this.end = end;\n    this.pos = 0;\n};\n/**\n * Struct for storing completion options, as we need to memorise \n * the titles of the tiddlers when masked and when body must be displayed.\n */\nvar OptCompletion = function( title, str ) {\n    this.title = title;\n    this.str = str;\n};\n\nvar keyMatchGenerator = function(combination) {\n\tlet singleMatchGenerator = function(character) {\n\t\tif (character === '^') {\n\t\t\treturn event => event.ctrlKey;\n\t\t}\n\t\telse if (character === '+') {\n\t\t\treturn event => event.shiftKey;\n\t\t}\n\t\telse if (character === '!') {\n\t\t\treturn event => event.altKey;\n\t\t}\n\t\telse {\n\t\t\treturn event => (event.keyCode || event.which) === character.charCodeAt(0);\n\t\t}\n\t};\n\n\tlet matchers = [];\n\tfor (let i = 0; i < combination.length; i++) {\n\t\tmatchers.push(singleMatchGenerator(combination[i]));\n\t}\n\n\treturn event => {\n\t\tfor (let i = 0; i < matchers.length; i++) {\n\t\t\tif (!matchers[i](event)) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\treturn true;\n\t};\n};\n\n/**\n * Widget is needed in creating popupNode.\n * - widget.document\n * - widget.wiki.filterTiddlers(...)\n * - sibling : where to create the popup in the DOM.\n */\n\tvar Completion = function( editWidget, areaNode, param, sibling, offTop, offLeft ) {\n\tconsole.log( \"==Completion::creation\" );\n\n    // About underlying Widget\n    this._widget = editWidget;\n\tthis._areaNode = areaNode;\n\tthis._sibling  = (typeof sibling !== 'undefined') ?  sibling : this._areaNode;\n\tthis._offTop = (typeof offTop !== 'undefined') ?  offTop : 0;\n\tthis._offLeft = (typeof offLeft !== 'undefined') ?  offLeft : 0;\t\n\t\t\n    // Completions attributes\n    /** State */\n    this._state = \"VOID\";\n    this._template = undefined;\n    /** Best matches */\n    this._bestMatches = []; // An array of OptCompletion\n    this._idxChoice = -1;\n    /** Param */\n    // maximum nb of match displayed\n    this._maxMatch     = param.configuration.maxMatch || DEFATT.maxMatch;   \n    this._minPatLength = param.configuration.minPatLength || DEFATT.minPatLength;\n    this._caseSensitive= param.configuration.caseSensitive || DEFATT.caseSensitive;\n    this._triggerKeyMatcher = keyMatchGenerator(param.configuration.triggerKeyCombination || DEFATT.triggerKeyCombination);\n    /** Input information */\n    this._lastChar = \"\";\n    this._hasInput = false;\n    /** List of Completion Templates */\n    this._listTemp = [];\n    \n    // Read templates from Param\n    if( param.template ) {\n    \tvar idT;\n    \tfor( idT=0; idT<param.template.length; idT++ ) {\n    \t    var temp = param.template[idT];\n\t    // field 'body' ou 'title' (default)\n\t    if( temp.body ) {\t\t\n    \t\tthis._listTemp.push( \n    \t\t    new Template( temp.pattern, temp.body,\n\t\t\t\t  temp.mask ? temp.mask : \"\",\n\t\t\t\t  \"body\",\n    \t\t\t\t  temp.start, temp.end )\n    \t\t);\n\t    }\n\t    else {\n    \t\tthis._listTemp.push( \n    \t\t    new Template( temp.pattern, \n\t\t\t\t  temp.title ? temp.title : temp.filter,\n\t\t\t\t  temp.mask ? temp.mask : \"\",\n\t\t\t\t  \"title\",\n    \t\t\t\t  temp.start, temp.end )\n    \t\t);\n\t    }\n\t    //DEBUG temp = this._listTemp[this._listTemp.length-1];\n\t    //DEBUG console.log( \"__CONF : \"+temp.pattern+\":\"+temp.filter+\":\"+temp.mask+\":\"+temp.field+\":\"+temp.start+\":\"+temp.end );\n    \t}\n    }\n    // or defaut template\n    else {\n    \tthis._listTemp = [\n    \t    new Template( \"[[\", \"[all[tiddlers]!is[system]]\", \n\t\t\t  \"\", \"title\",\n\t\t\t  \"[[\", \"]]\" )\n    \t];\n    }\n    // Create Popup\n\t//this._popNode = createPopup(this._widget, this._areaNode );\n\tthis._popNode = createPopup(this._widget, this._sibling );\t\n    \n    // Listen to the Keyboard\n    $tw.utils.addEventListeners( this._areaNode,[\n\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInput\"},\n\t{name: \"keydown\", handlerObject: this, handlerMethod: \"handleKeydown\"},\n\t{name: \"keypress\", handlerObject: this, handlerMethod: \"handleKeypress\"},\n    \t{name: \"keyup\", handlerObject: this, handlerMethod: \"handleKeyup\"}\n    ]);\n   \n    /** \n     * Find the bestMatches among listChoice with given pattern\n     * @param listChoice : array of String\n     * @change : this._bestMatches => array of OptCompletion\n     */\n    this._findBestMatches = function( listChoice, pattern, nbMax) {\n\t// regexp search pattern, case sensitive\n\tvar flagSearch = this._caseSensitive ? \"\" : \"i\" ;\n\tvar regpat = RegExp( regExpEscape(pattern), flagSearch );\n\tvar regpat_start = RegExp( \"^\"+regExpEscape(pattern), flagSearch );\n\tvar regMask = RegExp( this._template.mask ? this._template.mask : \"\",\"\");\n\tvar nbMatch = 0;\n\t// nbMax set to _maxMatch if no value given\n\tnbMax = nbMax !== undefined ? nbMax : this._maxMatch;\n\n\t//DEBUG console.log( \"__FIND masked=\"+regMask+\" regPat=\"+regpat);\n\n\tthis._bestMatches= [];\n\tvar otherMatches = [];\n\t// We test every possible choice\n\tfor( var i=0; i< listChoice.length; i++ ) {\n\t    // apply mask over potential choice\n\t    var maskedChoice = listChoice[i].replace( regMask, \"\");\n\t    // Test first if pattern is found at START of the maskedChoice\n\t    // THEN added to BestMatches\n \t    if( regpat_start.test( maskedChoice )) {\n\t\tif (nbMatch >= nbMax) {\n\t\t    this._bestMatches.push( new OptCompletion(\"\",\"...\") );\n\t\t    return;\n\t\t} else {\n\t\t    this._bestMatches.push( new OptCompletion(listChoice[i],maskedChoice) );\n\t\t    nbMatch += 1;\n\t\t}\n\t    }\n\t    // then if pattern is found WITHIN the maskedChoice\n\t    // added AFTER the choices that starts with pattern\n\t    else if( regpat.test( maskedChoice ) ) {\n\t\tif (nbMatch >= nbMax) {\n\t\t    // add all otherMatches to _bestMatches\n\t\t    this._bestMatches.push( new OptCompletion(\"\",\"<hr>\") ) ; //separator\n\t\t    this._bestMatches = this._bestMatches.concat( otherMatches );\n\t\t    this._bestMatches.push( new OptCompletion(\"\",\"...\") );\n\t\t    return;\n\t\t} else {\n\t\t    otherMatches.push( new OptCompletion(listChoice[i],maskedChoice) );\n\t\t    nbMatch += 1;\n\t\t}\n\t    }\n\t}\n\t// Here, must add the otherMatches\n\tthis._bestMatches.push( new OptCompletion(\"\",\"<hr>\") ) ; //separator\n\tthis._bestMatches = this._bestMatches.concat( otherMatches );\n    };\n    /**\n     * Change Selected Status of Items\n     */\n    this._next = function (node) {\n\tvar count = node.children.length;\n\t//DEBUG console.log( \"__NEXT: co=\"+count+\" nbMatch=\"+this._bestMatches.length);\n\tif( this._bestMatches.length > 0 ) \n\t    this._goto( node, this._idxChoice < count - 1 ? this._idxChoice + 1 : -1);\n\t//DEBUG this._logStatus( \"NexT\" );\n    };\n    this._previous = function (node) {\n\tvar count = node.children.length;\n\tvar selected = this._idxChoice > -1;\n\t//DEBUG console.log( \"__PREV: co=\"+count+\" nbMatch=\"+this._bestMatches.length);\n\tif( this._bestMatches.length > 0 ) \n\t    this._goto( node, selected ? this._idxChoice - 1 : count - 1);\n\t//DEBUG this._logStatus( \"PreV\" );\n    };\n    // Should not be used, highlights specific item without any checks!\n    this._goto = function (node, idx) {\n\tvar lis = node.children;\n\tvar selected = this._idxChoice > -1;\n\tif (selected) {\n\t    lis[this._idxChoice].setAttribute(\"patt-selected\", \"false\");\n\t}\n\n\tthis._idxChoice = idx;\n    \n\tif (idx > -1 && lis.length > 0) {\n\t    lis[idx].setAttribute(\"patt-selected\", \"true\");\n\t}\n    };\n    /**\n     * Abort pattern and undisplay.\n     */\n    this._abortPattern = function (displayNode) {\n\tthis._state = \"VOID\";\n\tthis._bestChoices = [];\n\tthis._idxChoice = -1;\n\tthis._undisplay( displayNode );\n\tthis._template = undefined;\n    };\n    /**\n     * Display popupNode at the cursor position in areaNode.\n     */\n    this._display = function( areaNode, popupNode ) {\n\tif ( popupNode.style.display == 'none' ) {\n\t    // Must get coordinate\n\t    // Cursor coordinates within area + area coordinates + scroll\n            var coord = getCaretCoordinates(areaNode, areaNode.selectionEnd);\n            var styleSize = getComputedStyle(areaNode).getPropertyValue('font-size');\n            var fontSize = parseFloat(styleSize); \n\t\t\n\t    popupNode.style.left = (this._offLeft+areaNode.offsetLeft-areaNode.scrollLeft+coord.left) + 'px';\n\t    popupNode.style.top = (this._offTop+areaNode.offsetTop-areaNode.scrollTop+coord.top+fontSize*2) + 'px';\n\t    popupNode.style.display = 'block';\n\t}\n    };\n    /**\n     * Undisplay someNode\n     */\n    this._undisplay = function( displayNode ) {\n\tif ( displayNode.style.display != 'none' ) {\n\t    displayNode.style.display = 'none';\n\t}\n    };\n\n     /**\n     * Used for debug\n     */\n    this._logStatus = function(msg) {\n\tconsole.log( \"__STATUS: \"+this._state+\":-\"+msg+\"- idx=\"+this._idxChoice );\n    };\n\n};\n// **************************************************************************\n// ******************************************************************eventCbk\n// **************************************************************************\n/**\n * Disable the *effects* of ENTER / UP / DOWN / ESC when needed.\n * Set _hasInput to false.\n */\nCompletion.prototype.handleKeydown = function(event) {\n    // key \n    var key = event.keyCode;\n    this._hasInput = false;\n    \n    //DEBUG console.log( \"__KEYDOWN (\"+key+\") hasI=\"+this._hasInput);\n    \n    // ENTER while selecting\n    if( (this._state === \"PATTERN\" || this._state === \"SELECT\") && key === 13 ) {\n    \tevent.preventDefault();\n    \tevent.stopPropagation();\n    }\n    // ESC while selecting\n    if( (this._state === \"PATTERN\" || this._state === \"SELECT\") && key === 27 ) {\n    \tevent.preventDefault();\n    \tevent.stopPropagation();\n    }\n    // UP/DOWN while a pattern is extracted\n    if( (key===38 || key===40) && \n\t(this._state === \"PATTERN\" || this._state === \"SELECT\") ) {\n\tevent.preventDefault();\n    }\n};\n/**\n * Means that something has been added/deleted => set _hasInput\n */\nCompletion.prototype.handleInput = function(event) {\n    this._hasInput = true;\n    //DEBUG console.log( \"__INPUT hasI=\"+this._hasInput );\n};\n\t\n/**\n * Set _lastChar, detects CTRL+SPACE.\n */\nCompletion.prototype.handleKeypress = function(event) {\n    var curPos = this._areaNode.selectionStart;  // cursor position\n    var val = this._areaNode.value;   // text in the area\n    // key \n    var key = event.keyCode || event.which;\n\t\n    this._lastChar = String.fromCharCode(key);\n    //DEBUG console.log( \"__KEYPRESS (\"+key+\") hasI=\"+this._hasInput+\" char=\"+this._lastChar );\n    //DEBUG this._logStatus( \"KEYPRESS\" );\n    \n    // Detect Ctrl+Space\n    if( this._triggerKeyMatcher(event) && this._state === \"VOID\" ) {\n\t//Find a proper Template\n\t// first from which we can extract a pattern\n\tif( this._template === undefined ) {\n\t    //DEBUG console.log(\"__SPACE : find a Template\" );\n\t    var idT, res;\n\t    for( idT=0; idT < this._listTemp.length; idT++ ) {\n\t\tres = extractPattern( val, curPos, this._listTemp[idT] );\n\t\t//DEBUG console.log(\"  t=\"+this._listTemp[idT].pat+\" res=\"+res);\n\t\t// res is not undefined => good template candidate\n\t\tif( res ) {\n\t\t    this._template = this._listTemp[idT];\n\t\t    this._state = \"PATTERN\";\n\t\t    break;\n\t\t}\n\t    }\n\t}\n\telse {\n\t    //DEBUG console.log(\"__SPACE : already a template\" );\n\t    this._state = \"PATTERN\";\n\t}\n    }\n};\n/**\n * ESC -> abort; \n * Detect [ -> VOID switch to _state=PATTERN\n * PATTERN || SELECT : ENTER -> insertText\n *                     UP/DOWN -> previous/next\n *                     pattern.length > _minPatternLength -> display  \n */\nCompletion.prototype.handleKeyup = function(event) {\n    var curPos = this._areaNode.selectionStart;  // cursor position\n    var val = this._areaNode.value;   // text in the area\n    // key a\n    var key = event.keyCode;\n    \n    //DEBUG console.log( \"__KEYUP (\"+key+\") hasI=\"+this._hasInput );\n    \n    // ESC\n    if( key === 27 ) {\n\tthis._abortPattern( this._popNode );\n\t//DEBUG this._logStatus( \"\" );\n    }\n    // Check for every template\n    if( this._hasInput && this._state === \"VOID\" ) {\n\t// check every template's pattern\n\tvar idT, template;\n\tfor( idT=0; idT < this._listTemp.length; idT++ ) {\n\t    template = this._listTemp[idT];\n\t    if( this._lastChar === template.pat[template.pos] ) {\n\t\ttemplate.pos += 1;\n\t\t//DEBUG console.log( \"__CHECK : pat=\"+template.pat+\" pos=\"+template.pos );\n\t\t// Pattern totaly matched ?\n\t\tif( template.pos === template.pat.length ) {\n\t\t    //DEBUG console.log( \"__CHECK => found \"+template.pat );\n\t\t    this._state = \"PATTERN\";\n\t\t    this._template = template;\n\t\t    \n\t\t    break; // get out of loop\n\t\t}\n\t    }\n\t    else {\n\t\ttemplate.pos = 0;\n\t\t//DEBUG console.log( \"__CHECK : pat=\"+template.pat+\" pos=\"+template.pos );\n\t    }\n\t}\n    }\n    // a pattern\n    else if( this._state === \"PATTERN\" || this._state === \"SELECT\" ) {\n\t// Pattern below cursor : undefined if no pattern\n\tvar pattern = extractPattern( val, curPos, this._template );\n\tif( key === 13 ) { // ENTER\n\t    //DEBUG console.log( \"KEY : Enter\" );\n    \t    // Choice made in the displayNode ?\n    \t    var selected = this._idxChoice > -1 && this._idxChoice !== this._maxMatch;\n    \t    //DEBUG console.log( \"   > sel=\"+selected+\" len=\"+this._bestChoices.length );\n    \t    if( selected ) {\n    \t\t//DEBUG console.log( \"   > selected\" );\n\t\tvar temp = this._bestMatches[this._idxChoice];\n\t\tvar str = temp.str;\n\t\tif( this._template.field === \"body\" ) {\n\t\t    str = $tw.wiki.getTiddlerText( temp.title );\n\t\t}\n    \t\tinsertInto( this._areaNode,\n\t\t\t    str,\n\t\t\t    pattern.start, curPos, this._template );\n\t\t// save this new content\n\t\tthis._widget.saveChanges( this._areaNode.value );\n\t    }\n\t    // otherwise take the first choice (if exists)\n\t    else if( this._bestMatches.length > 0 ) {\n    \t\t//DEBUG console.log( \"   > take first one\" );\n\t\tvar temp = this._bestMatches[0];\n\t\tvar str = temp.str;\n\t\tif( this._template.field === \"body\" ) {\n\t\t    str = $tw.wiki.getTiddlerText( temp.title );\n\t\t}\n    \t\tinsertInto( this._areaNode,\n\t\t\t    str,\n\t\t\t    pattern.start, curPos, this._template );\n\t\t// save this new content\n\t\tthis._widget.saveChanges( this._areaNode.value );\n\t    }\n\t    this._abortPattern( this._popNode );\n\t\t//DEBUG this._logStatus( \"\" );\n    \t    }\n\t    else if( key === 38 && this._hasInput === false) { // up\n\t\tthis._state = \"SELECT\";\n    \t\tevent.preventDefault();\n    \t\tthis._previous( this._popNode );\n\t\t//DEBUG this._logStatus( pattern.text );\n    \t\t//event.stopPropagation();\n    \t    }\n    \t    else if( key === 40 && this._hasInput === false) { // down\n\t\tthis._state = \"SELECT\";\n    \t\tevent.preventDefault();\n    \t\tthis._next( this._popNode );\n\t\t//DEBUG this._logStatus( pattern.text );\n    \t\t//event.stopPropagation();\n    \t    }\n    \t    else if( pattern ) { // pattern changed by keypressed\n\t\tthis._idxChoice = -1;\n    \t\t// log\n\t\t//DEBUG this._logStatus( pattern.text );\n    \t\t// Popup with choices if pattern at least minPatLength letters long\n\t\tif( pattern.text.length > (this._minPatLength-1) ) {\n\t\t    // compute listOptions from templateFilter\n\t\t    var allOptions;\n\t\t    if( this._template )\n\t\t\tallOptions = this._widget.wiki.filterTiddlers( this._template.filter );\n\t\t    else\n\t\t\tallOptions = this._widget.wiki.filterTiddlers(\"[all[tiddlers]]\");\n\t\t    this._findBestMatches( allOptions, pattern.text );\n    \t\t    this._popNode.innerHTML = \"\";\n    \t\t    //console.log( \"BC \"+ this._pattern + \" => \" + choice );\n    \t\t    if (this._bestMatches.length > 0) {\n\t\t\tfor( var i=0; i<this._bestMatches.length; i++) {\n    \t\t\t    this._popNode.appendChild( \n\t\t\t\titemHTML(this._bestMatches[i].str,\n\t\t\t\t\t pattern.text));\n    \t\t\t}\n\t\t\tthis._display( this._areaNode, this._popNode );\t\t\t\n    \t\t    }\n\t\t    else { // no matches\n\t\t\tthis._state = \"PATTERN\";\n\t\t\tthis._undisplay( this._popNode );\n\t\t    }\n\t\t}\n    \t    }\n\t    else { // no pattern detected\n\t\tthis._abortPattern( this._popNode );\n\t    }\n\t}\n\t// to ensure that one MUST add an input (through onInput())\n\tthis._hasInput = false;\n};\n// **************************************************************************\n// ******************************************************** private functions\n// **************************************************************************\n/**\n * Create popup element.\n */\nvar createPopup = function( widget, node ) {\n    // Insert a special \"div\" element for poping up\n    // Its 'display' property in 'style' control its visibility\n    var popupNode = widget.document.createElement(\"div\");\n    popupNode.setAttribute( \"style\", \"display:none; position: absolute;\");\n    popupNode.className = \"tc-block-dropdown ect-block-dropdown\";\n    // Insert the element into the DOM\n    node.parentNode.insertBefore(popupNode,node.nextSibling);\n    //CHECK the domNodes is a attribute of Widget [widget.js]\n    //CHECK this.domNodes.push(popupNode);\n    \n    return popupNode;\n};\n/**\n * Extract Pattern from text at a given position.\n *\n * Between previous template.pat (or '[[') and pos\n * \n * If no pattern -> undefined\n */\nvar extractPattern = function( text, pos, template ) {\n    // Detect previous and next ]]=>STOP or [[=>START\n    var sPat = template.pat ? template.pat : '[[';\n    var pos_prevOpen = text.lastIndexOf( sPat, pos );\n    var ePat = template.end ? template.end : ']]';\n    var pos_prevClosed = text.lastIndexOf( ePat, pos );\n    var pos_nextClosed = text.indexOf( ePat, pos  );\n    //DEBUG console.log(\"__CALC st=\"+sPat+\" -> en=\"+ePat );\n    //DEBUG console.log(\"__CALC po=\"+pos_prevOpen+\" pc=\"+pos_prevClosed+\" nc=\"+pos_nextClosed+\" pos=\"+pos);\n    pos_nextClosed = (pos_nextClosed >= 0) ? pos_nextClosed : pos;\n    \n    if( (pos_prevOpen >= 0) &&                 // must be opened\n\t((pos_prevOpen > pos_prevClosed ) ||  // not closed yet\n\t (pos_prevClosed === pos))) {          // closed at cursor\n\t//DEBUG console.log(\"     pat=\"+text.slice( pos_prevOpen+sPat.length, pos) );\n\treturn { text: text.slice( pos_prevOpen+sPat.length, pos ),\n\t\t start: pos_prevOpen,\n\t\t end: pos_nextClosed\n\t       };\n    }\n};\n/**\n * Controls how list items are generated.\n * Function that takes two parameters :\n *  - text : suggestion text\n *  - input : the user’s input\n * Returns : list item. \n * Generates list items with the user’s input highlighted via <mark>.\n */\nvar itemHTML = function (text, input ) {\n    // text si input === ''\n    // otherwise, build RegExp that is global (g) and case insensitive (i)\n    // to replace with <mark>$&</mark> where \"$&\" is the matched pattern\n    var html = input === '' ? text : text.replace(RegExp(regExpEscape(input.trim()), \"gi\"), \"<mark>$&</mark>\");\n    return create(\"li\", {\n\tinnerHTML: html,\n\t\"patt-selected\": \"false\"\n    });\n};\n/**\n * Insert text into a textarea node, \n * enclosing in 'template.start..template.end'\n *\n * - posBefore : where the 'template.pat+pattern' starts\n * - posAfter : where the cursor currently is\n */\nvar insertInto = function(node, text, posBefore, posAfter, template ) {\n    //DEBUG console.log( \"__INSERT : \"+template.pattern+\":\"+template.filter+\":\"+template.mask+\":\"+template.field+\":\"+template.start+\":\"+template.end );\n    var val = node.value;\n    var sStart = template.start !== undefined ? template.start : '[[';\n    var sEnd = template.end !== undefined ? template.end : ']]';\n    var newVal = val.slice(0, posBefore) + sStart + text + sEnd + val.slice(posAfter);\n    //console.log(\"__INSERT s=\"+sStart+\" e=\"+sEnd);\n    //console.log (\"__INSERT pb=\"+posBefore+\" pa=\"+posAfter+\" txt=\"+text);\n    //console.log( \"NEW VAL = \"+newVal );\n    // WARN : Directly modifie domNode.value.\n    // Not sure it does not short-circuit other update methods of the domNode....\n    // i.e. could use widget.updateEditor(newVal) from edit-comptext widget.\n    //      but how to be sure that cursor is well positionned ?\n    node.value = newVal;\n    node.setSelectionRange(posBefore+text.length+sStart.length+sEnd.length, posBefore+text.length+sStart.length+sEnd.length );\n};\n/**\n * Add an '\\' in front of -\\^$*+?.()|[]{}\n */\nvar regExpEscape = function (s) {\n    return s.replace(/[-\\\\^$*+?.()|[\\]{}]/g, \"\\\\$&\");\n};\n/**\n * Add an element in the DOM.\n */\nvar create = function(tag, o) {\n    var element = document.createElement(tag);\n    \n    for (var i in o) {\n\tvar val = o[i];\n\t\n\tif (i === \"inside\") {\n\t    $(val).appendChild(element);\n\t}\n\telse if (i === \"around\") {\n\t    var ref = $(val);\n\t    ref.parentNode.insertBefore(element, ref);\n\t    element.appendChild(ref);\n\t}\n\telse if (i in element) {\n\t    element[i] = val;\n\t}\n\telse {\n\t    element.setAttribute(i, val);\n\t}\n    }\n    \n    return element;\n};\n\n\nexports.Completion = Completion;\n\n})();\n\n    \n",
            "type": "application/javascript",
            "title": "$:/plugins/snowgoon88/edit-comptext/completion.js",
            "module-type": "library"
        },
        "$:/plugins/snowgoon88/edit-comptext/edit-comptext.css": {
            "text": "\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline macrocallblock\n\n/* The \\rules pragma at the top of the tiddler restricts the WikiText \n * to just allow macros and transclusion. This avoids mistakenly \n * triggering unwanted WikiText processing.\n * \n * MUST not save as text/css for macro to be processed\n*/\n\n.ect-block-dropdown li {\n    display: block;\n    padding: 4px 14px 4px 14px;\n    text-decoration: none;\n    color: <<colour tiddler-link-foreground>>; /*#5778d8;*/ \n    background: transparent;\n}\n.ect-block-dropdown li[patt-selected=\"true\"] {\n    color: <<colour tiddler-link-background>>; /*#ffffff; */\n    background-color: <<colour tiddler-link-foreground>>; /*#5778d8; */\n}\n.ect-block-dropdown li[patt-selected=\"true\"] mark {\n    background: hsl(86, 100%, 21%);\n    color: inherit;\n}\n\n",
            "type": "text/vnd.tiddlywiki",
            "title": "$:/plugins/snowgoon88/edit-comptext/edit-comptext.css",
            "tags": "[[$:/tags/Stylesheet]]"
        },
        "$:/plugins/snowgoon88/edit-comptext/readme": {
            "title": "$:/plugins/snowgoon88/edit-comptext/readme",
            "text": "!! What ?\nThis plugin adds ''completion'' when editing the body of a tiddler.\n\n* Enter completion-mode by typing `[[` or `CTRL+SPACE`\n* A list of tiddlers with a title that matches the pattern between `[[` and cursor appears\n* `UP/DOWN` keys can select a tiddler, `ENTER` to validate\n* If there is only one match, `ENTER` selects it.\n* `NEW` : you can specify you own trigger pattern and the list of possible completions. See [[$:/plugins/snowgoon88/edit-comptext/usage]] for more details.\n\n\n!! To try it or get the latest news\nSee [[http://snowgoon88.github.io/TW5-extendedit]]\n\n!! Install \n\nTo add the plugin to your own TiddlyWiki5, just drag this link to the browser window:\n\n[[$:/plugins/snowgoon88/edit-comptext]]\n\nSometime, a small configuration step is then needed\n\nin `$:/ControlPanel -> Advanced -> Editor Type -> text/vnd.tiddlywiki` you must chose `comptext` instead of `text`.\n\nReload and « voilà »...\n\nThis plugin is quite mature now :o)\n\n!! Old version\n\n* A version compatible with 5.0.8 to 5.1.11 : [[http://snowgoon88.github.io/TW5-extendedit/index_5.1.11.html]]\n\n!! Source code\nOn github [[https://github.com/snowgoon88/TW5-extendedit]]\n\nGet in touch : snowgoon88(AT)gmail(DOT)com\n"
        },
        "$:/plugins/snowgoon88/edit-comptext/usage": {
            "title": "$:/plugins/snowgoon88/edit-comptext/usage",
            "text": "''Important'' : be sure that in `$:/ControlPanel -> Advanced -> Editor Type -> text/vnd.tiddlywiki` you have chosen `comptext` instead of `text`.\n\nConfiguration of the edit-comptext plugin can be done through the tiddler [[$:/plugins/snowgoon88/edit-comptext/config]]. Use a JSON tiddler (do not forget to set the type to `application/json`. See some examples at [[$:/plugins/snowgoon88/edit-comptext/examples]]\n\nIn the `configuration` object you can set :\n\n* `caseSensitive`: `true`/`false` (is search case sensitive ?)\n* `maxMatch` : an `integer` (max number of match displayed)\n* `minPatLength` : an `integer` (minimal length of a pattern to trigger completion search)\n* `triggerKeyCombination ` : a `string` representing the key combination that triggers the autocompletion popup. To use modifier keys in your combination, use following conversions : `ctrl` -> `^`, `alt` -> `!`, `shift` -> `+`. Note: ` ` (literally a whitespace) represents the `space` key.\n\nIn the `template` array you can specify the various completion templates that will be used. Every template can have the following members.\n\n* `pattern` : `string` (pattern that triggers a completion, default \"[[\" )\n* `title` or `body`: `string` (the filter operators that gives the list of valid completions, default \"[all[tiddlers]!is[system]]\"). If you specify `body`, then the body of the tiddler will be inserted on selection.\n* `start` : `string` (when completion is chosen, start is put before the completion, default \"[[\")\n* `end` : `string` (when completion is chosen, end is put after the completion, default \"]]\")\n\n!! Current body of Config Tiddler\n\n{{$:/plugins/snowgoon88/edit-comptext/config}}\n\n"
        }
    }
}

{
  "configuration": {
      "caseSensitive" : false,
      "maxMatch" : 8,
      "minPatLength" : 2,
      "triggerKeyCombination" : "^ "
  },
  "template": [{
      "pattern": "[[",
      "filter": "[all[tiddlers]!is[system]]",
      "start": "[[",
      "end": "]]"
      }
  ]
}

{
    "tiddlers": {
        "$:/plugins/telmiger/details/details.css": {
            "text": "/* details and summary */\n\ndetails {\n   transition: height 1s ease;\n   padding: 0 0.5em 0 0.66em;\n   margin-top: 0.66em;\n   margin-bottom: 0.66em;\n}\n\ndetails + details {\n   margin-top: -0.46em;\n}\n\ndetails[open] {\n   padding-bottom: 1em;\n}\n\ndetails:not([open]) { \n   cursor: pointer;\n}\n\ndetails > summary {\n   display: list-item;\n   margin: 0 -0.5em 0 -0.66em;\n   padding: 0.2em 0.5em 0.2em 0.66em;\n   padding-left: 1.76em;  /* adjust for indentation */\n   text-indent: -1.1em;\n   cursor: pointer;\n}\n\ndetails[open] > summary {\n   margin-bottom: 1em;\n}\n\ndetails[open] > *:first-child:not(summary) {\n   margin-top: 1em;\n}\n",
            "title": "$:/plugins/telmiger/details/details.css",
            "tags": "$:/tags/Stylesheet",
            "modifier": "Thomas Elmiger",
            "modified": "20180929131615369",
            "creator": "Thomas Elmiger",
            "created": "20170122140815442"
        },
        "$:/plugins/telmiger/details/details.js": {
            "text": "/*\\\ntitle: $:/plugins/telmiger/details/details.js\ntype: application/javascript\nmodule-type: widget\n\nDetails widget v 0.8\n\nWill output an HTML 5 <details> section including a <summary>\n\n```\n\t<details>\n\t\t<summary>This sums it up</summary> \n\t\tAll the details follow here.\n\t</details>\n```\n\n|Parameter |Description |h\n|summary |Optional text to display as summary. Wins over field (see below). |\n|open |Optional initial state, set to \"open\" to show details on load. Defaults to \"\". |\n|state |An optional TextReference containing the state. Wins over open. |\n|field |Optionally, the summary is taken from the field with this name in a given tiddler. Defaults to \"title\". |\n|tiddler |Optional title of a tiddler to watch, connected to field. Defaults to current tiddler. |\n|class |Optional CSS classes to be assigned to the details tag. |\n\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DetailsWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDetailsWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDetailsWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute attributes\n\tthis.computeAttributes();\n\t// Execute logic\n\tthis.execute();\n\t// Create elements\n\tthis.detailsDomNode = this.document.createElement(\"details\");\n\tif(this.detailsClass !== \"\") {\n\t\t// this.detailsClass += \" \";\n\t\t// this.detailsClass += \"tc-details\";\n\t\tthis.detailsDomNode.setAttribute(\"class\",this.detailsClass);\n\t}\n\tif(this.detailsOpen == \"open\") {\n\t\tthis.detailsDomNode.setAttribute(\"open\",\"open\");\n\t}\n\tif(this.detailsSummary !== \"\") {\n\t\tthis.summaryDomNode = this.document.createElement(\"summary\");\n\t\t// this.summaryDomNode.setAttribute(\"class\",\"tc-summary\");\n\t\tthis.detailsDomNode.appendChild(this.summaryDomNode);\n\t\tthis.summaryDomNode.appendChild(this.document.createTextNode(this.detailsSummary));\n\t}\n// register an event listener\n/* Maybe this can be reactivated later, see below.\n\tif(this.detailsStateTitle) {\n\t\t$tw.utils.addEventListeners(this.detailsDomNode,[\n\t\t\t{name: \"toggle\", handlerObject: this, handlerMethod: \"handleToggleEvent\"},\n\t\t]);\n\t}\n*/\n// As iOS mobile browsers lack support of toggle events on details \n// we emulate the toggle event using click\n\tif(this.detailsStateTitle && this.summaryDomNode) {\n\t\t$tw.utils.addEventListeners(this.summaryDomNode,[\n\t\t\t{name: \"click\", handlerObject: this, handlerMethod: \"handleToggleEvent\"},\n\t\t]);\n\t} else {\n\t\tif(this.detailsStateTitle) {\n\t\t\t$tw.utils.addEventListeners(this.detailsDomNode,[\n\t\t\t\t{name: \"click\", handlerObject: this, handlerMethod: \"handleToggleEvent\"},\n\t\t\t]);\n\t\t}\n\t}\n\t// Insert the details into the DOM and render any children\n\tthis.parentDomNode.insertBefore(this.detailsDomNode,nextSibling);\n\tthis.renderChildren(this.detailsDomNode,null);\n\tthis.domNodes.push(this.detailsDomNode);\n};\n\n/*\nRetrieve the value of the summary\n*/\nDetailsWidget.prototype.getSummary = function() {\n\tvar summary = \"\";\n\tif(this.summaryTitle === \"Tiddler not found\" && this.summaryField === \"\") {\n\t// nothing defined: leave empty \n\t\tsummary = \"\";\n\t} else {\n\t\t// tiddler defined? use defined field or title\n\t\tif(this.myTiddler) {\n\t\t\tif(this.summaryField === \"title\" || this.summaryField === \"\") {\n\t\t\t\tsummary = this.summaryTitle;\n\t\t\t} else {\n\t\t\t\tif(this.summaryField === \"text\") {\n         \t\t// getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\t\tsummary = this.wiki.getTiddlerText(this.summaryTitle);\n\t\t\t\t} else {\n\t\t\t\t\tsummary = this.myTiddler.fields[this.summaryField];\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.summaryField !== \"\" && this.summaryField !== \"text\") {\n\t\t\t\t// try defined field in current tiddler\n\t\t\t\tvar tiddler = this.wiki.getTiddler(this.getVariable(\"currentTiddler\"));\n\t\t\t\tsummary = tiddler.fields[this.summaryField];\n\t\t\t} else {\n\t\t\t\tsummary = \"\";\n\t\t\t}\n\t\t}\n\t}\n   return summary;\n};\n\n/*\nRetrieve the value of the state text reference\n*/\nDetailsWidget.prototype.getStateFromReference = function() {\n    var state = this.detailsStateTitle ? this.wiki.getTextReference(this.detailsStateTitle,\"\",this.getVariable(\"currentTiddler\")) : \"\";\n    return state;\n};\n\n/*\nCheck all open signals, state fields/tiddlers get priority\n*/\nDetailsWidget.prototype.getOpenState = function() {\n\tvar result = \"\";\n\tif((this.detailsOpenDefault !== \"\" && this.detailsOpenDefault !== \"no\") \n\t    || this.detailsState === \"open\") {\n\t\tresult = \"open\";\n\t } \n\tif(this.detailsStateTitle !==\"\" && this.detailsState !== \"open\") {\n\t\tresult = \"\";\n\t}\n\treturn result;\n};\n\n/*\nUpdate the state text reference after click event\n*/\nDetailsWidget.prototype.updateState = function(openState) {\n\tvar fieldValue = \"false\";\n\tvar currentTiddler = this.getVariable(\"currentTiddler\");\n    // get the title for the (existing/new) tiddler\n\tvar tr = $tw.utils.parseTextReference(this.detailsStateTitle);\n\tvar tidTitle = tr.title || currentTiddler;\n    // is it an existing state tiddler?\n\tvar isStateTiddler = (tr.title === this.detailsStateTitle);\n\tvar hasStateTiddler = this.wiki.tiddlerExists(tr.title);\n\tvar currentStateTiddler = (tr.title === currentTiddler);\n\tif(isStateTiddler || hasStateTiddler || (currentStateTiddler && tr.field !== \"text\")) { \n\t\t// Set the state field (but never overwrite the current tiddler’s text field\n\t\tthis.wiki.setText(tidTitle,tr.field,tr.index,openState);\n\t} else {\n\t\tif(!hasStateTiddler && tidTitle !== currentTiddler) {\n\t\t\tthis.createTiddler(tidTitle);\n\t\t\tthis.wiki.setText(tidTitle,tr.field,tr.index,openState);\n\t\t} else {\n\t\t\tconsole.log (\"Something went wrong in updateState\");\n\t\t}\n\t}\n};\n\n/*\nCreate a tiddler with a title only\n*/\nDetailsWidget.prototype.createTiddler = function(tidTitle) {\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\tthis.wiki.getModificationFields(),\n\t\t{\n\t\t\ttitle: tidTitle,\n\t\t\ttags: []\n\t\t}\n\t));\n};\n\n/*\nSet openState according to click\n*/\nDetailsWidget.prototype.handleToggleEvent = function(event) {\n\t// check if an open attribute is present\n\tvar newState = this.detailsDomNode.open ? \"\" : \"open\";\n\t// update only, if the node has a new state\n\tif(newState !== this.detailsState) {\n\t\tthis.updateState(newState);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDetailsWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes \n\tvar tryTiddler = this.getAttribute(\"tiddler\");\n\tthis.myTiddler = this.wiki.getTiddler(tryTiddler);\n\tthis.summaryTitle = this.myTiddler ? tryTiddler : \"Tiddler not found\";\n\tthis.summaryField = this.getAttribute(\"field\",\"\");\n\tthis.detailsSummary = this.getAttribute(\"summary\") || this.getSummary();\n\tthis.detailsStateTitle = this.getAttribute(\"state\",\"\");\n\tthis.detailsState = this.getStateFromReference();\n\tthis.detailsOpenDefault = this.getAttribute(\"open\",\"\");\n\tthis.detailsOpen = this.getOpenState();\n\tthis.detailsClass = this.getAttribute(\"class\",\"\");\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDetailsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.summary || changedAttributes.state || changedAttributes.open || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tvar testState = this.getStateFromReference();\n\t\tif(testState !== this.detailsState) {\n\t\t\t// state change\n\t\t\tthis.refreshSelf();\n\t\t\trefreshed = true;\n\t\t} \n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.details = DetailsWidget;\n\n})();",
            "type": "application/javascript",
            "title": "$:/plugins/telmiger/details/details.js",
            "tags": "Plugins",
            "module-type": "widget",
            "modifier": "Thomas Elmiger",
            "modified": "20180929212032187",
            "creator": "Thomas Elmiger",
            "created": "20170124173619910"
        },
        "$:/plugins/telmiger/details/icon": {
            "created": "20170205205314072",
            "text": "<svg class=\"tc-image-button telmiger-icon\" viewBox=\"0 0 128 128\" xmlns=\"http://www.w3.org/2000/svg\" fill-rule=\"evenodd\" viewBox=\"0 0 128 128\" role=\"img\" aria-labelledby=\"title\"><title id=\"title\">T</title><path class=\"circle\" d=\"M64 2C30 2 2 29.753 2 64c0 34.235 27.753 62 62 62s62-27.752 62-62C126 29.753 98.221 2 64 2z\"/><path class=\"t\" d=\"M100.41 63.254c-2.886 1.92-7.544 2.883-13.979 2.883h-8.008c-4.246 0-7.331.845-9.254 2.536-1.922 1.69-3.449 5.086-4.576 10.19 0 0-.181 1.481-.503 1.481s-.369-.877-.518-1.586a37.897 37.897 0 0 0-.721-2.754c-.631-2.137-1.262-3.753-1.894-4.847-.764-1.359-1.727-2.452-2.889-3.28-1.162-.83-2.49-1.326-3.985-1.492l-2.092-.248H41.73c-6.144 0-10.711-.962-13.7-2.884-4.976-3.159-7.649-9.129-8.02-17.91-.03-.706.003-1.351.132-2.171h.585c.399 3.975 3.679 7.048 6.086 9.219 2.408 2.172 6.269 3.258 11.581 3.258h9.313c5.347 0 9.257 1.226 11.731 3.68 2.231 2.213 3.701 5.68 4.406 10.4.076.511.03.736.178.736.149 0 .11-.256.17-.783.713-6.122 3.085-10.219 7.117-12.294 2.487-1.292 6.434-1.906 11.841-1.839l6.368.1c4.311.066 7.942-.788 10.893-2.56 2.953-1.773 6.447-5.079 6.844-9.917h.595c.183.478.16 1.576.127 2.333-.371 8.752-2.894 14.668-7.567 17.749z\"/></svg>\n<style>\n.telmiger-icon .circle { fill: #e2001a }\n.telmiger-icon .t { fill: #fff }\n</style>",
            "title": "$:/plugins/telmiger/details/icon",
            "tags": "",
            "modified": "20171219183752113"
        },
        "$:/plugins/telmiger/details/license": {
            "text": "!! Plugin license\n!!!The MIT License (MIT)\n\n```\nCopyright © 2017/2018 Thomas Elmiger – thomas-elmiger.ch\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n```",
            "title": "$:/plugins/telmiger/details/license",
            "tags": "",
            "modified": "20170205214435064",
            "created": "20170205213335455"
        },
        "$:/plugins/telmiger/details/readme": {
            "created": "20170205212323032",
            "text": "! ~DetailsWidget\n\nA plugin for [[TiddlyWiki|http://tiddlywiki.com]] 5 containing a script and some styles to create an HTML 5 `<details>` section including a `<summary>`. Here’s an example:\n\n<$details summary=\"W3C definition\">\n\n<<<\nThe [[details|http://w3c.github.io/html/interactive-elements.html#elementdef-details]] element represents a disclosure widget from which the user can obtain additional information or controls.\n<<< W3C\n\n</$details>\n\nDocumentation can be found at http://tid.li/tw5/plugins.html#DetailsWidget\n",
            "title": "$:/plugins/telmiger/details/readme",
            "tags": "",
            "modified": "20171219183752113"
        },
        "$:/plugins/telmiger/details/colours.css": {
            "text": "/* details and summary colours */\n\ndetails {\n   background-color: <<colour tiddler-info-tab-background>>;\n   color: <<colour foreground>>;\n}\n\ndetails summary {\n   background-color: <<colour dropdown-tab-background>>;\n}\n\ndetails.notification summary {\n    background-color: <<colour notification-background>>;\n    /* TW leaves color undefined/uses foreground */\n}\n\ndetails.warning summary {\n    background-color: #ffbbaf;\n    color: #000;\n}\n\ndetails.success summary {\n    background-color: #88edc5;\n    color: #000;\n}\n",
            "title": "$:/plugins/telmiger/details/colours.css",
            "tags": "$:/tags/Stylesheet",
            "modifier": "Thomas Elmiger",
            "modified": "20180926204140772",
            "creator": "Thomas Elmiger",
            "created": "20180925155320737"
        },
        "$:/plugins/telmiger/details/accordion": {
            "text": "\\define accordion(filter:\"_no_\",open:\"no\",class:\"\")\n<$vars accordion-filter=\"\"\"$filter$\"\"\" open=\"\"\"$open$\"\"\" class=\"\"\"$class$\"\"\">\n<$list filter=<<accordion-filter>>>\n<$details summary=<<currentTiddler>> open=<<open>> class=<<class>>>\n\n<$transclude tiddler=<<currentTiddler>>/>\n\n</$details>\n</$list>\n</$vars>\n\\end\n\n<!-- !!! Accordion Macro for Details\n\nList tiddlers and open them in a details-summary structure\n\n!!!! Attributes\n* filter: filter to select tiddlers\n* open: set to \"open\" to display details on load\n* class: set a class for the details tag\n\n-->",
            "title": "$:/plugins/telmiger/details/accordion",
            "tags": "$:/tags/Macro",
            "modifier": "Thomas Elmiger",
            "modified": "20180929065014252",
            "creator": "Thomas Elmiger",
            "created": "20180928194557274"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/tg/bottom/anchor": {
            "created": "20170619095724759",
            "text": "<a name=\"bottom\">",
            "title": "$:/plugins/tg/bottom/anchor",
            "tags": "$:/tags/EditTemplate",
            "modifier": "TonGerner",
            "modified": "20191229131658126",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/bottom/button": {
            "created": "20170619101312733",
            "text": "<style>\na.bottom:link {\n    color: red;\n    text-decoration: underline;\n}\na.bottom:visited {\n    color: red;\n}\na.bottom:hover {\n    color: blue;\n}\n</style>\n<a class=\"bottom\" href=\"#bottom\" title=\"Go to bottom\">&darr;</a>\n\n",
            "title": "$:/plugins/tg/bottom/button",
            "tags": "$:/tags/EditToolbar",
            "modifier": "TonGerner",
            "modified": "20200125105832459",
            "creator": "TonGerner",
            "caption": "&darr; go to bottom",
            "description": "Go to bottom of tiddler"
        },
        "$:/plugins/tg/bottom/icon": {
            "created": "20180123194933910",
            "text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 100 100\">\n  <path d=\"m48.98237,97.86909l-41.98313,-24.239l0,-48.47796l41.98313,-24.23897l41.98313,24.23897l0,48.47796l-41.98313,24.239z\" stroke-miterlimit=\"4\" stroke-width=\"1.2218\" stroke=\"#a0a0ff\" fill=\"#a0a0ff\"/>\n  <rect fill=\"#000000\" id=\"rect4200\" width=\"8.9372\" height=\"56.28019\" x=\"44.68599\" y=\"11.11111\"/>\n  <rect fill=\"#000000\" id=\"rect4202\" width=\"46.25604\" height=\"2.41546\" x=\"27.77778\" y=\"78.74397\"/>\n  <path fill=\"#000000\" id=\"path4216\" d=\"m49.01451,74.88308l-15.32185,-26.33611l30.79344,0.0253l-15.47158,26.31081z\"/>\n</svg>",
            "title": "$:/plugins/tg/bottom/icon",
            "tags": "",
            "modified": "20191229131747663"
        },
        "$:/plugins/tg/bottom/license": {
            "created": "20180123193646563",
            "text": "[[Go to bottom plugin|http://tongerner.tiddlyspot.com/#Go%20to%20bottom%20plugin]] &copy; Ton Gerner &mdash; 2018-2020\n\nMIT License: https://opensource.org/licenses/MIT",
            "title": "$:/plugins/tg/bottom/license",
            "modified": "20191229131811947"
        },
        "$:/plugins/tg/bottom/readme": {
            "created": "20180123185313790",
            "text": "This 'Go to bottom' plugin will be useful when editing tiddlers with a lot of text.\nThe plugin provides in edit mode a button that brings you to the bottom of the text of the tiddler to edit.\n\nSince it interferes with the permalink/permaview behavior of ~TiddlyWiki there are some quirks:\n\n# The first time you use the 'Go to bottom' button (@@font-size:1.2em;&darr;@@) you have to click it twice. After the first click you will see the bottom tiddler on top (`#bottom` will be appended to the URL); after the second click you get to the bottom of the tiddler to be edited\n#* The next time you click the 'Go to bottom' button you get to the bottom of the tiddler to be edited directly\n# After using the button a refresh of the ~TiddlyWiki opens the `bottom` tiddler and ''not'' the tiddler(s) programmed in Control panel.<br>You can click the Home button (<<icn $:/core/ui/Buttons/home>>) in the `bottom` tiddler to get the tiddlers as expected after a refresh, but see the ''Note'' below.\n\n<<<\n''Note:''\n\n* The Home button appends a `#` to the URL thus replacing `#bottom` by `#`\n* After clicking the Home button you are starting all over again (step 1 above)!\n* The 'Go to bottom' function is incompatible with scrollable preview!\n<<<\n",
            "title": "$:/plugins/tg/bottom/readme",
            "tags": "",
            "modified": "20200316132234787"
        },
        "bottom": {
            "created": "20180123184743395",
            "text": "{{$:/core/ui/Buttons/home}} (Use this button with care; see [[readme|$:/plugins/tg/bottom/readme]])",
            "title": "bottom",
            "modified": "20200316131621164"
        },
        "$:/plugins/tg/bottom/macros/doc": {
            "created": "20200316131658974",
            "text": "\\define icn(icon)\n<button class=\"tc-btn-invisible\"> {{$icon$}}</button>\n\\end\n",
            "title": "$:/plugins/tg/bottom/macros/doc",
            "tags": "$:/tags/Macro",
            "modified": "20200316131827555"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/tg/exploration/button": {
            "created": "20170510135141908",
            "text": "\\define explore-button(class)\n<$button tooltip=\"Explore in new window\" class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n<$action-sendmessage $message=\"tm-open-window\" $param=\"$:/plugins/tg/exploration/exploration\" height=\"700px\" width=\"500px\"/>\n{{$:/plugins/tg/exploration/icon}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"explore\"/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/plugins/tg/exploration/exploration]]\" emptyMessage=<<explore-button>>>\n<<explore-button \"tc-selected\">>\n</$list>\n\n",
            "title": "$:/plugins/tg/exploration/button",
            "tags": "$:/tags/PageControls",
            "modified": "20191229161451408",
            "description": "Explore TW5",
            "caption": "{{$:/plugins/tg/exploration/icon}} explore"
        },
        "$:/plugins/tg/exploration/code1": {
            "created": "20141001084921772",
            "text": "!! [[Code1|$:/plugins/tg/exploration/code1]]\n<<selectfilter \"code1\">>\n\n<$macrocall $name=\"codefilter\" filter={{$:/temp/filter/code1}} state=\"code1\"/>\n",
            "title": "$:/plugins/tg/exploration/code1",
            "tags": "$:/tags/xcode",
            "modifier": "TonGerner",
            "modified": "20191229161517619",
            "creator": "TonGerner",
            "caption": "Code1"
        },
        "$:/plugins/tg/exploration/code2": {
            "created": "20141001084954911",
            "text": "!! [[Code2|$:/plugins/tg/exploration/code2]]\n<<selectfilter \"code2\">>\n\n<$macrocall $name=\"codefilter\" filter={{$:/temp/filter/code2}} state=\"code2\"/>",
            "title": "$:/plugins/tg/exploration/code2",
            "tags": "$:/tags/xcode",
            "modifier": "TonGerner",
            "modified": "20191229161535662",
            "creator": "TonGerner",
            "caption": "Code2"
        },
        "$:/plugins/tg/exploration/code3": {
            "created": "20141001090009472",
            "text": "!! [[Code3|$:/plugins/tg/exploration/code3]]\n<<selectfilter \"code3\">>\n\n<$macrocall $name=\"codefilter\" filter={{$:/temp/filter/code3}} state=\"code3\"/>",
            "title": "$:/plugins/tg/exploration/code3",
            "tags": "$:/tags/xcode",
            "modifier": "TonGerner",
            "modified": "20191229161554882",
            "creator": "TonGerner",
            "caption": "Code3"
        },
        "$:/plugins/tg/exploration/code4": {
            "created": "20141001091735182",
            "text": "!! [[Code4|$:/plugins/tg/exploration/code4]]\n<<selectfilter \"code4\">>\n\n<$macrocall $name=\"codefilter\" filter={{$:/temp/filter/code4}} state=\"code4\"/>\n\n",
            "title": "$:/plugins/tg/exploration/code4",
            "tags": "$:/tags/xcode",
            "modifier": "TonGerner",
            "modified": "20191229161613529",
            "creator": "TonGerner",
            "caption": "Code4"
        },
        "$:/plugins/tg/exploration/code5": {
            "created": "20141031144255930",
            "text": "!! [[Code5|$:/plugins/tg/exploration/code5]]\n<<selectfilter \"code5\">>\n\n<$macrocall $name=\"codefilter\" filter={{$:/temp/filter/code5}} state=\"code5\"/>",
            "title": "$:/plugins/tg/exploration/code5",
            "tags": "$:/tags/xcode",
            "modifier": "TonGerner",
            "modified": "20191229161630749",
            "creator": "TonGerner",
            "caption": "Code5"
        },
        "$:/plugins/tg/exploration/exploration": {
            "created": "20140714115927407",
            "text": "!!!Exploration\n<<<\n''Note:''\n\nWhile working in a new window (in contrast to a standard tiddler):\n\n* The dropdown menu for filter selecting stays open and can only be closed by clicking the {{$:/core/images/down-arrow}} button\n* Buttons are not rendered correctly in this window!\n<<<\n\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/xcode]] [[$:/plugins/tg/exploration/help]]\" \"\" \"$:/state/tab/exploration\" \"\">>",
            "title": "$:/plugins/tg/exploration/exploration",
            "modifier": "TonGerner",
            "modified": "20191229161659137",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/filter/buttons": {
            "created": "20141020201907464",
            "text": "",
            "title": "$:/plugins/tg/exploration/filter/buttons",
            "tags": "$:/tags/codeFilter",
            "modifier": "TonGerner",
            "modified": "20191229162300142",
            "filter": "[all[shadows]sort[title]]+[prefix[$:/core/ui/Buttons]]",
            "description": "Buttons",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/filter/code-snippets": {
            "created": "20140923160624756",
            "text": "",
            "title": "$:/plugins/tg/exploration/filter/code-snippets",
            "tags": "$:/tags/codeFilter",
            "modifier": "TonGerner",
            "modified": "20191229161812075",
            "filter": "[all[shadows]sort[title]]+[prefix[$:/snippets]]",
            "description": "Code snippets",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/filter/configuration": {
            "created": "20141005142753238",
            "text": "",
            "title": "$:/plugins/tg/exploration/filter/configuration",
            "tags": "$:/tags/codeFilter",
            "modifier": "TonGerner",
            "modified": "20191229161832634",
            "filter": "[all[shadows]sort[title]]+[prefix[$:/config]]",
            "description": "Configuration tiddlers",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/filter/core-images": {
            "created": "20141025095607867",
            "text": "",
            "title": "$:/plugins/tg/exploration/filter/core-images",
            "tags": "$:/tags/codeFilter",
            "modifier": "TonGerner",
            "modified": "20191229161855341",
            "filter": "[all[shadows]sort[title]]+[prefix[$:/core/images]]",
            "description": "Core images",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/filter/core-macros": {
            "created": "20140923160458155",
            "text": "",
            "title": "$:/plugins/tg/exploration/filter/core-macros",
            "tags": "$:/tags/codeFilter",
            "modifier": "TonGerner",
            "modified": "20191229161917503",
            "filter": "[all[shadows]sort[title]]+[prefix[$:/core/macros]]",
            "description": "Core macros",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/filter/editor-toolbar-buttons": {
            "created": "20161204175036367",
            "text": "",
            "title": "$:/plugins/tg/exploration/filter/editor-toolbar-buttons",
            "tags": "$:/tags/codeFilter",
            "modifier": "TonGerner",
            "modified": "20191229162322945",
            "filter": "[all[shadows]sort[title]]+[prefix[$:/core/ui/EditorToolbar]]",
            "description": "Editor toolbar buttons",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/filter/howto": {
            "created": "20150708095918463",
            "text": "Default the list of filters contains:\n\n# Buttons (`[all[shadows]sort[title]]+[prefix[$:/core/ui/Buttons]]`)\n# Code snippets (`[all[shadows]sort[title]]+[prefix[$:/snippets]]`)\n# Configuration tiddlers (`[all[shadows]sort[title]]+[prefix[$:/config]]`)\n# Core images (`[all[shadows]sort[title]]+[prefix[$:/core/images]]`)\n# Core macros (`[all[shadows]sort[title]]+[prefix[$:/core/macros]]`)\n# Editor toolbar buttons (`[all[shadows]sort[title]]+[prefix[$:/core/ui/EditorToolbar]]`)\n# Plugins (`[all[shadows]sort[title]]+[prefix[$:/plugins]]`)\n# Shadow ui tiddlers (`[all[shadows]sort[title]]+[prefix[$:/core/ui]]`)\n# Templates (`[all[shadows]sort[title]]+[prefix[$:/core/templates]]`)\n# Themes (`[all[shadows]sort[title]]+[prefix[$:/themes]]`)\n# Widgets (`[all[shadows]sort[title]]+[prefix[$:/core/modules/widgets]]`)\n\nTo add a filter to the list:\n\n* Create a tiddler tagged with `$:/tags/codeFilter`\n* Add a field `description` which contains the name of the filter to be seen in the list\n* Add a field `filter` which contains the filter you want to add to the list\n",
            "title": "$:/plugins/tg/exploration/filter/howto",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191229162006472",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/filter/javascript-macros": {
            "created": "20190203185551806",
            "text": "",
            "title": "$:/plugins/tg/exploration/filter/javascript-macros",
            "tags": "$:/tags/codeFilter",
            "modifier": "TonGerner",
            "modified": "20191229162022534",
            "filter": "[all[shadows]sort[title]]+[prefix[$:/core/modules/macros/]]",
            "description": "Javascript macros",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/filter/javascript-modules": {
            "created": "20161107123227543",
            "text": "",
            "title": "$:/plugins/tg/exploration/filter/javascript-modules",
            "tags": "$:/tags/codeFilter",
            "modifier": "TonGerner",
            "modified": "20191229162037928",
            "filter": "[all[shadows]sort[title]]+[prefix[$:/core/modules]]",
            "description": "Javascript modules",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/filter/languages": {
            "created": "20190203185817539",
            "text": "",
            "title": "$:/plugins/tg/exploration/filter/languages",
            "tags": "$:/tags/codeFilter",
            "modifier": "TonGerner",
            "modified": "20191229162052870",
            "filter": "[all[shadows]sort[title]]+[prefix[$:/language/]]",
            "description": "Language tiddlers",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/filter/plugins": {
            "created": "20170324171715717",
            "text": "",
            "title": "$:/plugins/tg/exploration/filter/plugins",
            "tags": "$:/tags/codeFilter",
            "modifier": "TonGerner",
            "modified": "20191229162338672",
            "filter": "[all[shadows]sort[title]]+[prefix[$:/plugins]]",
            "description": "Plugins",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/filter/shadow-ui": {
            "created": "20140923154305534",
            "text": "",
            "title": "$:/plugins/tg/exploration/filter/shadow-ui",
            "tags": "$:/tags/codeFilter",
            "modifier": "TonGerner",
            "modified": "20191229162128861",
            "filter": "[all[shadows]sort[title]]+[prefix[$:/core/ui]]",
            "description": "Shadow ui tiddlers",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/filter/templates": {
            "created": "20170324172714778",
            "text": "",
            "title": "$:/plugins/tg/exploration/filter/templates",
            "tags": "$:/tags/codeFilter",
            "modifier": "TonGerner",
            "modified": "20191229162149150",
            "filter": "[all[shadows]sort[title]]+[prefix[$:/core/templates]]",
            "description": "Templates",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/filter/themes": {
            "created": "20140923160800468",
            "text": "",
            "title": "$:/plugins/tg/exploration/filter/themes",
            "tags": "$:/tags/codeFilter",
            "modifier": "TonGerner",
            "modified": "20191229162205439",
            "filter": "[all[shadows]sort[title]]+[prefix[$:/themes]]",
            "description": "Themes",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/filter/widgets": {
            "created": "20141005142452796",
            "text": "",
            "title": "$:/plugins/tg/exploration/filter/widgets",
            "tags": "$:/tags/codeFilter",
            "modifier": "TonGerner",
            "modified": "20191229162359445",
            "filter": "[all[shadows]sort[title]]+[prefix[$:/core/modules/widgets]]",
            "description": "Widgets",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/help": {
            "created": "20170510130615844",
            "text": "!! Help\n* To explore ~WikiText core tiddlers like the UI shadow tiddlers, code snippets, macros, themes and so on, select a filter and then the appropriate tiddler from the list\n* The five 'Code' tabs can contain/remember earlier results.\n* You can choose a filter from the list or add a filter manually\n** Default the list of filters contains <$count filter=\"[all[shadows+tiddlers]tag[$:/tags/codeFilter]]\"/> filters but you can add your own filters to the list, see [[How to add a filter to the list|$:/plugins/tg/exploration/filter/howto]]\n",
            "title": "$:/plugins/tg/exploration/help",
            "tags": "",
            "modified": "20191231181254485",
            "caption": "Help"
        },
        "$:/plugins/tg/exploration/icon": {
            "created": "20170510133330608",
            "text": "<svg class=\"tgc-explore-button tc-image-button\" width=\"22\" height=\"22\" viewBox=\"0 0 90 90\">\n<path d=\"m11.75716,16.31726c1.833,-4.32 6.82,-6.334 11.14,-4.5c4.32,1.833 6.335,6.82 4.502,11.14c-1.834,4.32 -6.82,6.334 -11.14,4.5s-6.335,-6.82 -4.502,-11.14z\"/>\n<path d=\"m13.16916,16.89626c1.5,-3.53 5.576,-5.178 9.107,-3.68c3.53,1.5 5.178,5.577 3.68,9.107c-1.5,3.535 -5.577,5.179 -9.107,3.679c-3.53,-1.498 -5.178,-5.575 -3.68,-9.106z\"/>\n<path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"m28.07316,33.91826c-1.033,1.402 -2.366,2.033 -3.997,1.89l2.437,6.572c2.44,1.022 4.11,0.35 5.003,-2.02l-3.443,-6.442zm-3.58,-6.697c-0.81,0.82 -1.834,1.28 -3.076,1.38l2.22,6.115c1.662,0.214 3.14,-0.452 3.9,-2.013l-3.043,-5.486l-0.001,0.004z\"/>\n<path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"m42.21216,23.49826c3.654,0.066 20.47,0.066 24.122,0c4.98,-0.09 5.876,0.802 7.34,8.715c0.834,3.81 1.638,9.125 2.966,16.398c1.25,7.358 -6.105,7.858 -7.23,3.286l-4.681,-18.555l-0.015,49.63c0,7.067 -10.087,7.067 -10.087,0l0,-25.58l-1.5,0l0,25.577c0,7.068 -10.086,7.068 -10.086,0l0,-49.827l-2.74,9.337c-0.454,1.85 -2.412,2.822 -4.255,2.86c-0.255,0.03 -8.135,-0.145 -8.135,-0.145c-4.685,-0.477 -6.383,-8.597 1.88,-8.255c1.414,0.06 2.378,0.066 3.89,0.058c0.12,-0.442 0.23,-0.91 0.326,-1.4c1.676,-9.88 2.232,-12.208 8.207,-12.1l-0.002,0.001zm21.603,-11.556c0,-5.49 -4.45,-9.94 -9.938,-9.94s-9.94,4.45 -9.94,9.94s4.45,9.938 9.94,9.938s9.938,-4.45 9.938,-9.94l0,0.002z\"/>\n</svg>",
            "title": "$:/plugins/tg/exploration/icon",
            "tags": "",
            "modified": "20191229162436475"
        },
        "$:/plugins/tg/exploration/license": {
            "created": "20180125141040743",
            "text": "[[Exploration plugin|http://tongerner.tiddlyspot.com/#Exploration%20plugin]] &copy; Ton Gerner &mdash; 2018-2020\n\nMIT License: https://opensource.org/licenses/MIT\n",
            "title": "$:/plugins/tg/exploration/license",
            "tags": "",
            "modified": "20191229162507506"
        },
        "$:/plugins/tg/exploration/macros/codefilter": {
            "created": "20140728113918255",
            "text": "\\define codefilter(filter, state)\n<$select tiddler='$:/state/$state$/list'>\n<$list filter=\"$filter$\">\n<option><$view field='title'/></option>\n</$list>\n</$select>\n\n''Tiddler:'' <$tiddler tiddler={{$:/state/$state$/list}}>\n<$link to={{$:/state/$state$/list}}>\n\n<$view field=\"title\"/>\n</$link>\n''Source code:''\n<pre><$view field=\"text\"/></pre>\n<hr>\n''Renders as:''\n<$tiddler tiddler={{$:/state/$state$/list}}>\n<$transclude mode='block'/>\n</$tiddler>\n<hr>\n''Fields:''\n<$transclude tiddler=\"$:/core/ui/TiddlerFields\"/>\n\\end\n\n```\n\\define codefilter(filter, state)\n<$select tiddler='$:/state/$state$/list'>\n<$list filter=\"$filter$\">\n<option><$view field='title'/></option>\n</$list>\n</$select>\n\n''Tiddler:'' <$tiddler tiddler={{$:/state/$state$/list}}>\n<$link to={{$:/state/$state$/list}}>\n\n<$view field=\"title\"/>\n</$link>\n''Source code:''\n<pre><$view field=\"text\"/></pre>\n<hr>\n''Renders as:''\n<$tiddler tiddler={{$:/state/$state$/list}}>\n<$transclude mode='block'/>\n</$tiddler>\n<hr>\n''Fields:''\n<$transclude tiddler=\"$:/core/ui/TiddlerFields\"/>\n\\end\n```\n",
            "title": "$:/plugins/tg/exploration/macros/codefilter",
            "tags": "$:/tags/Macro",
            "modifier": "TonGerner",
            "modified": "20191229162542006",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/macros/selectfilter": {
            "created": "20141001090916471",
            "text": "\\define selectfilter(filter)\n<$linkcatcher to=\"$:/temp/filter/$filter$\">\n\n''Select via a filter expression''\n\n<div class=\"tc-search tc-advanced-search\"><$edit-text tiddler=\"$:/temp/filter/$filter$\" type=\"search\" tag=\"input\"/> <$button popup=<<qualify \"$:/state/filterDropdown\">> class=\"tc-btn-invisible\">{{$:/core/images/down-arrow}}</$button> <$reveal state=\"$:/temp/filter/$filter$\" type=\"nomatch\" text=\"\"> <$link to=\"\" class=\"tc-btn-invisible\">{{$:/core/images/close-button}}</$link></$reveal></div>\n\n<div class=\"tc-block-dropdown-wrapper\">\n<$reveal state=<<qualify \"$:/state/filterDropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/codeFilter]]\"><$link to={{!!filter}}><$transclude field=\"description\"/></$link>\n</$list>\n</div>\n</$reveal>\n</div>\n</$linkcatcher>\n\n''Select tiddler''\n\\end\n\n```\n\\define selectfilter(filter)\n<$linkcatcher to=\"$:/temp/filter/$filter$\">\n\n''Select via a filter expression''\n\n<div class=\"tc-search tc-advanced-search\"><$edit-text tiddler=\"$:/temp/filter/$filter$\" type=\"search\" tag=\"input\"/> <$button popup=<<qualify \"$:/state/filterDropdown\">> class=\"tc-btn-invisible\">{{$:/core/images/down-arrow}}</$button> <$reveal state=\"$:/temp/filter/$filter$\" type=\"nomatch\" text=\"\"> <$link to=\"\" class=\"tc-btn-invisible\">{{$:/core/images/close-button}}</$link></$reveal></div>\n\n<div class=\"tc-block-dropdown-wrapper\">\n<$reveal state=<<qualify \"$:/state/filterDropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/codeFilter]]\"><$link to={{!!filter}}><$transclude field=\"description\"/></$link>\n</$list>\n</div>\n</$reveal>\n</div>\n</$linkcatcher>\n\n''Select tiddler''\n\\end\n```\n",
            "title": "$:/plugins/tg/exploration/macros/selectfilter",
            "tags": "$:/tags/Macro",
            "modifier": "TonGerner",
            "modified": "20191229162622735",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/exploration/readme": {
            "created": "20170510120822070",
            "text": "It is always good to have a look at the code/~WikiText TW uses in the core tiddlers and learn from it.<br>\nWith this plugin you can explore code/~WikiText core tiddlers like the UI shadow tiddlers, code snippets, macros, themes and so on.\n",
            "title": "$:/plugins/tg/exploration/readme",
            "tags": "",
            "modified": "20191229162641793"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/tg/layout/combination": {
            "created": "20180316161209354",
            "text": "In case two or three of the following plugins:\n\n* Top menu  ^^1^^ or Top-left menu ^^1^^\n* Top toolbar ^^1^^\n* Tiddlersbar ^^1^^\n\nare to be combined, some adjustments to the layout are necessary to prevent overlapping parts. The following gives the general procedure.\n\n# Click the ''Adjust layout'' button (<<icn $:/plugins/tg/layout/images/layout>>) in the top right bar or click [[Plugin tweaks|$:/plugins/tg/layout/tweaks]] and select the Theme tweaks tab\n## To create extra room on top, increase ''Story top position''\n# Select the Layout tab and increase ''Height topbar''\n# If required, adjust the 'Top' settings of<div>\n\n* 'Top menu' (tab Top menu, setting ''Top 'Top menu''')\n* 'Top-left menu' (tab Top-left menu, setting ''Top 'Top menu''' & setting ''Top 'Left menu''')\n* 'Toolbar' (tab Toolbar, setting ''Top 'Toolbar''')\n* 'Tiddlersbar (tab Tiddlersbar, setting ''Top 'Tiddlersbar''')\n</div>\n# Some tweaking of the above values\n# Adjust ''Sidebar top position'' in Theme tweaks tab until wiki title and tiddler title are level.\n\n\n\n^^''1''^^ Available at http://tongerner.tiddlyspot.com/\n\n<<<\n''Note:''<br>http://tongerner.tiddlyspot.com/ shows the combination of 'Top menu', 'Toolbar' and 'Tiddlersbar'.\n<<<\n\n",
            "title": "$:/plugins/tg/layout/combination",
            "tags": "",
            "modified": "20200313135445072"
        },
        "$:/plugins/tg/layout/configuration-button": {
            "created": "20171203165317769",
            "text": "<$button class=\"tc-btn-invisible\" tooltip=\"Adjust layout\">\n<$action-sendmessage $message=\"tm-open-window\" $param=\"$:/plugins/tg/layout/tweaks\" height=\"800px\" width=\"720px\"/>\n{{$:/plugins/tg/layout/images/layout}}\n</$button>\n\n\n",
            "title": "$:/plugins/tg/layout/configuration-button",
            "tags": "$:/tags/TopRightBar",
            "modified": "20200313135507564",
            "list-before": "$:/core/ui/TopBar/menu",
            "description": "Adjust layout",
            "caption": "{{$:/plugins/tg/layout/icon}} adjust layout"
        },
        "$:/plugins/tg/layout/css-units": {
            "text": "<br>\n\n* You can enter values in allowed CSS units, e.g. `%`, `px`, `em`, ...\n* You can enter colors:\n** by name, e.g. `red`, `blue`, ... see [[w3schools|https://www.w3schools.com/tags/ref_colornames.asp]]\n** as 6 (sometimes 3) digit Hex color code, e.g. `#FF0000` (or `#F00`)\n** with the color macro, e.g. `<<colour primary>>`.\n",
            "title": "$:/plugins/tg/layout/css-units",
            "modified": "20191216151510179",
            "created": "20190722175502370"
        },
        "$:/plugins/tg/layout/icon": {
            "text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 100 100\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:svg=\"http://www.w3.org/2000/svg\">\n <metadata id=\"metadata7\">image/svg+xml</metadata>\n <g>\n  <title>Layer 1</title>\n  <g id=\"layer1\">\n   <path d=\"m48.98237,97.8691l-41.98313,-24.239l0,-48.47796l41.98313,-24.23897l41.98313,24.23897l0,48.47796l-41.98313,24.239z\" id=\"path4142\" stroke-miterlimit=\"4\" stroke-width=\"1.2218\" stroke=\"#a0a0ff\" fill=\"#a0a0ff\"/>\n   <path id=\"svg_3\" d=\"m73.1813,28.26401l-15.55706,15.81597c0.61319,0.6247 0.61206,1.63724 0,2.25944c-0.61371,0.62398 -1.60823,0.62448 -2.22362,0l-6.66496,-6.77579c-0.61439,-0.62462 -0.61363,-1.63801 0,-2.26065c0.61329,-0.62358 1.60695,-0.62444 2.22244,0l0,0l15.55707,-15.81609c1.84112,-1.87179 4.8262,-1.87179 6.66732,0c1.84113,1.87178 1.84112,4.90654 -0.00001,6.77832l-0.00118,-0.0012zm-50.00484,46.31849l-2.22244,-2.2595l3.30621,-5.6205l3.36112,-1.1578l23.33557,-23.72413l2.22243,2.25941l-23.33556,23.72422l-1.13868,3.417l-5.52865,3.3613z\" fill-rule=\"evenodd\"/>\n  </g>\n </g>\n</svg>",
            "type": "image/svg+xml",
            "title": "$:/plugins/tg/layout/icon",
            "modifier": "TonGerner",
            "modified": "20191216151535498",
            "creator": "TonGerner",
            "created": "20160109160239631"
        },
        "$:/plugins/tg/layout/info": {
            "created": "20190902161718650",
            "text": "\\define slidertg(label,tiddler)\n<$button popup=\"$:/state/$tiddler$\" class=\"tc-btn-invisible tgc-slider\"><$text text=\"$label$ »\"/></$button>\n<$reveal type=\"nomatch\" text=\"\" default=\"\" state=\"$:/state/$tiddler$\" animate=\"yes\">\n\n{{$tiddler$}}\n\n</$reveal>\n\\end\n\n* <<slidertg \"CSS units\" $:/plugins/tg/layout/css-units>>\n* <<slidertg \"Combine plugins\" $:/plugins/tg/layout/combination>>\n* <<slidertg \"Upgrading plugins\" $:/plugins/tg/layout/upgrade>>\n\n\n",
            "title": "$:/plugins/tg/layout/info",
            "tags": "$:/tags/plugin-tweaks",
            "order": "1",
            "modified": "20191230140536247",
            "caption": "General info"
        },
        "$:/plugins/tg/layout/license": {
            "text": "[[Layout tweaks plugin|http://tongerner.tiddlyspot.com/#Layout%20adjustment%20plugin]] &copy; Ton Gerner &mdash; 2018-2020\n\nMIT License: https://opensource.org/licenses/MIT\n",
            "title": "$:/plugins/tg/layout/license",
            "tags": "",
            "modified": "20191227193112628",
            "created": "20180124162829244"
        },
        "$:/plugins/tg/layout/readme": {
            "created": "20150731184044439",
            "text": "''Note:''<br>This plugin contains 'general' settings for the layout and is additionally required for my following plugins: ^^1^^\n\n* Top menu\n* Top-left menu (top + left menu)\n* Toolbar (on top)\n* Tiddlersbar\n* ~TabStory (alternative tiddlersbar at top of story)\n* Uptoolbar (toolbar above title)\n* Tristate (tristate sidebar)\n\nThis plugin contains layout code common to the mentioned plugins and let you adjust:\n\n!! Theme tweaks\n* Sidebar layout\n* Story left position\n* Story top position\n* Story right\n* Story width\n* Tiddler width\n* Sidebar top position\n* Sidebar width\n\n!! Layout tweaks\n* Checkboxes\n** Display layout button (<<icn $:/plugins/tg/layout/images/layout>>)\n** Search above story\n** Toolbar to toggle editor toolbar + preview\n** Sort recent results alphabetical\n** Button to top of story river\n** Hide description Tools tab buttons\n** System tags tab\n** Recent dates bold\n** Add editor toolbar to sticky title behaviour\n** Set tiddler toolbar above the tiddler title\n\n* Other settings\n** Color and height of the top bar (as a boundary for top menu, toolbar, tiddlersbar, etc.)\n** Top padding of a tiddler\n** Color for  displaying the  'active' state of some toggle buttons\n\nSettings for the layout can be found in ''~ControlPanel > Appearance > [[Plugin tweaks|$:/plugins/tg/layout/tweaks]]'', also available via the 'Adjust layout' button (<<icn $:/plugins/tg/layout/images/layout>>) in the Toprightbar.\n\n|borderless|k\n|^^^1^^ |&nbsp;&nbsp;|All these plugins contain a 'Settings' tiddler tagged with $:/tags/plugin-tweaks and will display - when installed - a tab under 'Plugin tweaks'.|\n\n<<<\n''Note:''<br>@@color:red;A sticky editor toolbar works ''only'' well in non-preview mode!.@@\n<<<",
            "title": "$:/plugins/tg/layout/readme",
            "modifier": "TonGerner",
            "modified": "20200314172312713",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/layout/search": {
            "created": "20181228194403881",
            "text": "{{$:/AdvancedSearch}}",
            "title": "$:/plugins/tg/layout/search",
            "tags": "",
            "modified": "20200115143633717"
        },
        "$:/plugins/tg/layout/settings": {
            "created": "20150729190109349",
            "text": "!!Layout tweaks\n\n<$checkbox tiddler=\"$:/plugins/tg/layout/configuration-button\" tag=\"$:/tags/TopRightBar\"> 'Adjust layout' button (<<icn $:/plugins/tg/layout/images/layout>>)</$checkbox><br>\n<$checkbox tiddler=\"$:/plugins/tg/layout/search\" tag=\"$:/tags/AboveStory\"> 'Search above story river'</$checkbox><br>\n<$checkbox tiddler=\"$:/plugins/tg/layout/toggle_toolbar\" tag=\"$:/tags/EditTemplate\"> Toolbar 'Toggle editortoolbar/preview'</$checkbox><br>\n<$checkbox tiddler=\"$:/plugins/tg/layout/timeline-macro\" tag=\"$:/tags/Macro\"> 'Sort recent alphabetical'</$checkbox><br>\n<$checkbox tiddler=\"$:/plugins/tg/layout/button2top/style\" tag=\"$:/tags/Stylesheet\"> 'Button to top of story river'</$checkbox><br>\n<$checkbox tiddler=\"$:/plugins/tg/layout/tools/style\" tag=\"$:/tags/Stylesheet\"> 'Hide description Tools tab buttons'</$checkbox><br>\n<$checkbox tiddler=\"$:/plugins/tg/layout/systemtags\" tag=\"$:/tags/MoreSideBar\"> 'System tags tab'</$checkbox><br>\n<$checkbox tiddler=\"$:/plugins/tg/layout/recent-dates-bold/style\" tag=\"$:/tags/Stylesheet\"> 'Recent dates bold'</$checkbox><br>\n<$checkbox field=\"sticky\" checked=\"yes\" unchecked=\"no\" default=\"yes\" checkactions=\"\"\"<$action-setfield $tiddler=\"$:/plugins/tg/layout/sticky\" title=\"$:/themes/tiddlywiki/vanilla/sticky\">\"\"\" uncheckactions=\"\"\"<$action-deletetiddler $tiddler=\"$:/themes/tiddlywiki/vanilla/sticky\"/>\"\"\" > Add editor toolbar to sticky title behaviour</$checkbox> ({{$:/plugins/layout/buttons/toggle-sticky}} Sticky {{$:/themes/tiddlywiki/vanilla/options/stickytitles}} )<br>\n{{$:/plugins/tg/layout/toolbar-up/ckeckbox}}\n\n\n<table class=\"tablestyle\">\n@@.brown ''Top bar''@@\n<<tableRow \"Background color 'Top bar'\" \"$:/plugins/tg/layout/styles\" \"topbar-background-color\">>\n<<tableRow \"Height 'Top bar'\" \"$:/plugins/tg/layout/styles\" \"topbar-height\">>\n@@.brown ''Tiddler''@@\n<<tableRow \"Top padding\" \"$:/plugins/tg/layout/styles\" \"tiddler-padding-top\">>\n@@.brown ''Button color''@@\n<<tableRow \"Active button color\" \"$:/plugins/tg/layout/styles\" \"active-state-color\">>\n</table>\n\n<<<\n''Note:''\n\n* @@color:red;For a 'Top bar' to become visible, a ''color'' (and a ''height > 0px'') need to be entered!@@\n* The height of the Top bar is also the offset for sticky titles; the sticky editor toolbar gets an extra 40px offset\n** @@color:red;A sticky editor toolbar works ''only'' correct in non-preview mode!@@\n<<<\n\n<$button tooltip=\"Help\">\n<$action-sendmessage $message=\"tm-open-window\" $param=\"$:/plugins/tg/layout/settings-help\" height=\"800px\" width=\"720px\"/>Help</$button>",
            "up": "yes",
            "title": "$:/plugins/tg/layout/settings",
            "tags": "$:/tags/plugin-tweaks",
            "sticky": "yes",
            "order": "3",
            "modifier": "TonGerner",
            "modified": "20200316201508833",
            "creator": "TonGerner",
            "caption": "Layout tweaks"
        },
        "$:/plugins/tg/layout/settings-help": {
            "created": "20150801124528672",
            "text": "|Item|Entry |Description |Default |h\n|'Adjust layout' button |<input type=\"checkbox\" /> / <input type=\"checkbox\" checked />|'Adjust layout' button in Toprightbar| <input type=\"checkbox\" checked /> |\n|'Search above story river' |<input type=\"checkbox\" /> / <input type=\"checkbox\" checked />|Advanced search above story river&nbsp;^^''1''^^| <input type=\"checkbox\" /> |\n|Toolbar 'toggle editortoolbar/preview' |<input type=\"checkbox\" /> / <input type=\"checkbox\" checked />|Toolbar - in edit mode - below tags| <input type=\"checkbox\" checked /> |\n|Sort recent results alphabetical |<input type=\"checkbox\" /> / <input type=\"checkbox\" checked />|Sort recent results each day in alphabetical order| <input type=\"checkbox\" checked /> |\n|'Button to top of story river' |<input type=\"checkbox\" /> / <input type=\"checkbox\" checked />|Button to jump to top of story river| <input type=\"checkbox\" checked /> |\n|'Hide description Tools tab buttons' |<input type=\"checkbox\" /> / <input type=\"checkbox\" checked />|Hide decriptions next to buttons under Tools tab| <input type=\"checkbox\" checked /> |\n|'System tags tab' |<input type=\"checkbox\" /> / <input type=\"checkbox\" checked />|Add a System tags tab| <input type=\"checkbox\" checked /> |\n|'Recent dates bold' |<input type=\"checkbox\" /> / <input type=\"checkbox\" checked />|Show dates in recent tab bold| <input type=\"checkbox\" checked /> |\n|Add editor toolbar to sticky title behaviour |<input type=\"checkbox\" /> / <input type=\"checkbox\" checked />|If titles are sticky, editor toolbar will be sticky as well | <input type=\"checkbox\" checked /> |\n|Set tiddler toolbar above the tiddler title|<input type=\"checkbox\" /> / <input type=\"checkbox\" checked />|Creates more room for tiddler title ^^2^^| <input type=\"checkbox\" /> |\n|||||\n|||||\n|Topbar |Background color 'Top bar'|Background color of the top bar<br>Transparent when left 'blank'!| `<<colour page-background>>` |\n|~|Height 'Top bar'|Height of the top bar| 40px |\n|Tiddler |Top padding |Top padding of tiddler  | 30px |\n|Button color|Active button color |Color indicating 'active' state of toggle button | `<<colour primary>>` |\n\n\n|borderless|k\n|^''@@font-size: 0.8em;1@@'' |&nbsp;&nbsp;|&bull; In classic storyview: scroll up to reach search<br>&bull; In zoomin view search always visible|\n|^''@@font-size: 0.8em;2@@'' ||Adds 'Toolbar - title' tab to Plugin tweaks with settings for layout tiddler toolbar|\n\n\n\n\n\n",
            "title": "$:/plugins/tg/layout/settings-help",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20200325165236673",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/layout/sidebar-top": {
            "text": "0px",
            "title": "$:/plugins/tg/layout/sidebar-top",
            "tags": "",
            "modified": "20191216152841842",
            "created": "20161213115930178"
        },
        "$:/plugins/tg/layout/styles": {
            "text": "<pre>/* LAYOUT SETTINGS */\n\n/* VERTICAL OFFSET FOR TOP OF SIDEBAR */\nhtml .tc-sidebar-scrollable {\n    top: {{$:/plugins/tg/layout/sidebar-top}};\n}\n\n* BACKGROUND COLOR TOPRIGHTBAR (with double chevron) */\n.tc-topbar {\n     background-color: {{!!topbar-background-color}};\n}\n\n/* TOPBAR */\n.tgc-toolbar {\n     display:block;\n     position:fixed;\n     left:0px;\n     top:0px;\n     width:100%;\n     height: {{!!topbar-height}};\n     background-color: {{!!topbar-background-color}};\n     z-index: 600;\n}\n\n/* TOP PADDING TIDDLER */\nbody.tc-body .tc-tiddler-frame {\n     padding-top: {{!!tiddler-padding-top}};\n}\n\n/* COLOR ACTIVE STATE TOGGLE BUTTON */\nbody.tc-body .tgc-active-indicator {\n     color: {{!!active-state-color}};\n}\nbody.tc-body .tgc-active-indicator svg {\n     fill: {{!!active-state-color}};\n}\n\nbody.tc-body .tgc-active-indicator:hover svg {\n     fill: <<colour \"foreground\">>;\n}\n\n/* HIDE BUTTON2TOP WHEN NOT ACTIVE */\n.tgc-fixed-bottom {\n     display: none;\n}\n\n/* TITLE - TOOLBAR SPACING */\nhtml .tgc-tiddler-title-space {\n     line-height: {{!!title-toolbar-spacing}}; \n}\n\n/* SIZE OF TIDDLER BUTTONS */\nhtml .tc-tiddler-controls button svg {\n     height: {{!!tiddler-button-size}};\n}\n\n/* SPACE BETWEEN TIDDLER BUTTONS */\nhtml .tc-tiddler-controls button {\n     margin-left: {{!!tiddler-button-spacing}};\n}\n\n/* SETTINGS TABLE */\n/* WIDTH SETTINGS TABLE */\ninput[type='text'].settings {\n     width: 150px;\n}\ntable.tablestyle {\n     font-size: 0.9em;\n     border-width: 0px;\n     border-style: solid;\n     padding: 2px;\n     border-color: #DDD;\n     border-collapse: collapse;\n}\ntable.tablestyle th {\n     background-color: #F0F0F0;\n     border-color: #DDD;\n     text-align: left;\n     vertical-align: top;\n     border-style: solid;\n     border-width: 1px;\n     padding: 5px;\n}\ntable.tablestyle tr {\n     background-color: #F0F0F0;\n     padding: 0px;\n}\ntable.tablestyle td {\n     border-color: #DDD;\n     border-style: solid;\n     border-width: 1px;\n     padding:2px;\n}\n/* COLOR HEADINGS TABLE */\n.brown {\n     color: #884411;\n     font-weight: bold;\n}\n/* BORDERLESS TABLES */\n.borderless, .borderless table, .borderless td, .borderless tr, .borderless th, .borderless tbody {\n     border:0 !important;\n     margin:0 !important;\n     padding:0 !important;\n}\n</pre>",
            "topbar-height": "40px",
            "topbar-background-color": "<<colour page-background>>",
            "title-toolbar-spacing": "1.3em",
            "title": "$:/plugins/tg/layout/styles",
            "tiddler-padding-top": "30px",
            "tiddler-button-spacing": "0px",
            "tiddler-button-size": "0.6em",
            "tags": "$:/tags/Stylesheet",
            "story-river-top": "0px",
            "sidebar-top": "0px",
            "modifier": "TonGerner",
            "modified": "20200314160330594",
            "list-after": "$:/themes/tiddlywiki/vanilla/base",
            "creator": "TonGerner",
            "created": "20161212103011213",
            "active-state-color": "<<colour primary>>"
        },
        "$:/plugins/tg/layout/themetweaks-help": {
            "text": "|Item |Entry |Description |Default |h\n|Theme tweaks |^Sidebar layout |^Choice between Fluid story, fixed sidebar and Fixed story, fluid sidebar|Fluid story, fixed sidebar&nbsp;^^1^^|\n|~|^Story left position |^How far the left margin of the story river (tiddler area) is from the left of the page| 0px|\n|~|^Story top position |^How far the top margin of the story river is from the top of the page| 0px ^^2^^|\n|~|^Story right |^How far the left margin of the sidebar is from the left of the page| 770px|\n|~|^Story width |^The overall width of the story river| 770px|\n|~|^Tiddler width |^Within the story river| 686px|\n|~|^Sidebar top position |^Start of the sidebar<br>(from the top)| 0px ^^2^^|\n|~|^Sidebar width |^The width of the sidebar in fluid-fixed layout| 350px|\n\n|borderless|k\n|^''@@font-size: 0.8em;1@@'' ||''Fluid story, fixed sidebar interferes with Tristate plugin'' => select Fixed story, fluid sidebar for Tristate plugin |\n|^''@@font-size: 0.8em;2@@'' |&nbsp;&nbsp;|Default values; ''need to be adjusted (increased) in case of adding a top menu, toolbar, tiddlersbar, ... to the wiki!''|",
            "title": "$:/plugins/tg/layout/themetweaks-help",
            "tags": "",
            "modified": "20191227170019117",
            "created": "20161212130221042"
        },
        "$:/plugins/tg/layout/toggle_toolbar": {
            "created": "20190221194645657",
            "text": "Toggle editor toolbar <$checkbox tiddler=\"$:/config/TextEditor/EnableToolbar\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"></$checkbox>&nbsp;&nbsp;&nbsp;Toggle preview <$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"no\">\n<$button set=\"$:/state/showeditpreview\" setTo=\"no\" tooltip=\"Hide preview\" class=\"tc-btn-invisible\">{{$:/core/images/preview-open}}</$button>\n</$reveal>\n<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"no\">\n<$button set=\"$:/state/showeditpreview\" setTo=\"yes\" tooltip=\"Show preview\" class=\"tc-btn-invisible\">{{$:/core/images/preview-closed}}</$button>\n</$reveal>\n&nbsp;Scrollable preview <$checkbox tiddler=\"$:/plugins/tg/layout/style_scroll_preview\" tag=\"$:/tags/Stylesheet\"></$checkbox>&nbsp;&nbsp;Toggle sidebar {{$:/core/ui/TopBar/menu}}\n\n",
            "title": "$:/plugins/tg/layout/toggle_toolbar",
            "tags": "$:/tags/EditTemplate",
            "modifier": "TonGerner",
            "modified": "20191216153840057",
            "list-after": "$:/core/ui/EditTemplate/tags",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/layout/topbar": {
            "text": "<div class=\"tgc-toolbar tc-adjust-top-of-scroll\"></div>\n",
            "title": "$:/plugins/tg/layout/topbar",
            "tags": "$:/tags/PageTemplate",
            "modifier": "TonGerner",
            "modified": "20191216153308624",
            "creator": "TonGerner",
            "created": "20150731184520854"
        },
        "$:/plugins/tg/layout/tweaks": {
            "created": "20150801100456266",
            "text": "The general layout adjustments can be found under the 'Themes tweak' and 'Layout tweaks' tabs. Dependent on installed plugins other tabs are available ('Top menu', 'Top-left menu', 'Top toolbar', 'Tiddlersbar, '~TabStory', 'Uptoolbar', 'Tristate').\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/plugin-tweaks]nsort[order]]\" \"$:/plugins/tg/layout/settings\" \"\" \"tc-vertical\">>",
            "title": "$:/plugins/tg/layout/tweaks",
            "tags": "$:/tags/ControlPanel/Appearance",
            "status": "yes",
            "modifier": "TonGerner",
            "modified": "20200314172835412",
            "creator": "TonGerner",
            "caption": "Plugin tweaks",
            "up": "no"
        },
        "$:/plugins/tg/layout/upgrade": {
            "text": "Recommended before upgrading one of the following plugins:\n\n* Layout adjustment\n* Top menu\n* Top toolbar\n* Tiddlersbar\n\n<hr>\n\n\n# Note down all adjustments made in the Settings section of the plugin\n# Delete the following overridden shadow tiddlers of the plugin:\n#* Settings\n#* Styles\n# Upgrade the plugin\n# Reapply the settings",
            "title": "$:/plugins/tg/layout/upgrade",
            "tags": "",
            "modified": "20191216153509327",
            "created": "20190816185216079"
        },
        "$:/plugins/tg/layout/style_scroll_preview": {
            "text": ".tc-edit-texteditor, .tc-tiddler-preview-preview {\n     max-height:80vh;\n     overflow-y:auto;\n}",
            "type": "text/css",
            "title": "$:/plugins/tg/layout/style_scroll_preview",
            "tags": "",
            "modified": "20200312125033755",
            "created": "20191222101746570"
        },
        "$:/plugins/tg/layout/table-macros": {
            "created": "20150801122014492",
            "text": "\\define inputBox() <$edit-text tiddler=\"$(reftarget)$\" field=\"$(reffield)$\" class=\"$(refclass)$\"/>\n\n\\define tableRow(header,target,field,class)\n<$set name=\"reftarget\" value=\"$target$\">\n<$set name=\"reffield\" value=\"$field$\">\n<$set name=\"refclass\" value=\"settings\">\n<tr><th>$header$ </th><td><<inputBox>></td></tr>\n</$set>\n</$set>\n</$set>\n\\end\n",
            "title": "$:/plugins/tg/layout/table-macros",
            "tags": "$:/tags/Macro",
            "modifier": "TonGerner",
            "modified": "20200110204107672",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/layout/themetweaks": {
            "text": "!! Theme tweaks\n\n@@.brown ''Theme tweaks''@@<br>\nexcerpt from 'Theme Tweaks' tab\n\n|tablestyle|k\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\">Sidebar layout</$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><option value=\"fixed-fluid\">Fixed story, Fluid sidebar</option><option value=\"fluid-fixed\">Fluid story, Fixed sidebar</option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\">Story left position</$link>|^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\">Story top position</$link>|^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\">Story right</$link>|^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\">Story width</$link>|^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\">Tiddler width</$link>|^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/plugins/tg/layout/sidebar-top\">Sidebar top position</$link> |^<$edit-text tiddler=\"$:/plugins/tg/layout/sidebar-top\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\">Sidebar width</$link> |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\" default=\"\" tag=\"input\"/> |\n<$button tooltip=\"Help\">\n<$action-sendmessage $message=\"tm-open-window\" $param=\"$:/plugins/tg/layout/themetweaks-help\" height=\"500px\" width=\"700px\"/>Help</$button>\n",
            "title": "$:/plugins/tg/layout/themetweaks",
            "tags": "$:/tags/plugin-tweaks",
            "order": "2",
            "modified": "20191231182438547",
            "created": "20161212090056554",
            "caption": "Theme tweaks"
        },
        "$:/plugins/tg/layout/timeline-macro": {
            "text": "\\define timeline-title()\n<!-- This macro overwrites the core macro; \n     the recent results will be sorted \n     each day in alpabetical order.\n     -->\n<$view field=\"title\"/>\n\\end\n\\define timeline(limit:\"100\",format:\"DDth MMM YYYY\",subfilter:\"\",dateField:\"modified\")\n<div class=\"tc-timeline\">\n<$list filter=\"[!is[system]$subfilter$has[$dateField$]!sort[$dateField$]limit[$limit$]eachday[$dateField$]]\">\n<div class=\"tc-menu-list-item\">\n<$view field=\"$dateField$\" format=\"date\" template=\"$format$\"/>\n<$list filter=\"[sameday:$dateField${!!$dateField$}!is[system]$subfilter$sort[]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}>\n<<timeline-title>>\n</$link>\n</div>\n</$list>\n</div>\n</$list>\n</div>\n\\end\n",
            "title": "$:/plugins/tg/layout/timeline-macro",
            "tags": "$:/tags/Macro",
            "modified": "20200310171616511",
            "created": "20160130112819603"
        },
        "$:/plugins/tg/layout/button2top": {
            "text": "<div class=\"tgc-fixed-bottom\">\n<$button class=\"tc-btn-invisible tgc-button-color\">\n&#9650;\n<$list variable='Target' filter='[list[$:/StoryList]first[]]'>\n<$action-navigate $to=<<Target>>/>\n</$list>\n</$button>\n</div>\n\n",
            "title": "$:/plugins/tg/layout/button2top",
            "tags": "$:/tags/PageTemplate",
            "modifier": "TonGerner",
            "modified": "20200114111444798",
            "list-after": "$:/plugins/tg/layout/styles",
            "creator": "TonGerner",
            "created": "20180304212804838"
        },
        "$:/plugins/tg/layout/button2top/style": {
            "text": "<pre>/* BUTTON TO TOP */\n.tgc-fixed-bottom {\n     display: block;\n     position: fixed;\n     bottom: 10px;\n     right: 10px;\n     padding: 8px;\n     background-color: <<colour page-background>>;\n}\n.tgc-button-color {\n     color: {{$:/plugins/tg/layout/styles!!active-state-color}};\n}\n.tgc-button-color:hover {\n     color: <<colour sidebar-controls-foreground-hover>>;\n}\n</pre>",
            "title": "$:/plugins/tg/layout/button2top/style",
            "tags": "$:/tags/Stylesheet",
            "modified": "20200310171626305",
            "created": "20200113122827159"
        },
        "$:/plugins/tg/layout/recent-dates-bold/style": {
            "created": "20200115151655355",
            "text": "/* RECENT TAB DATE BOLD */\n.tc-sidebar-lists .tc-timeline {\n   font-weight: bold;\n}\n",
            "title": "$:/plugins/tg/layout/recent-dates-bold/style",
            "tags": "$:/tags/Stylesheet",
            "modified": "20200310172022137",
            "type": "text/css"
        },
        "$:/plugins/tg/layout/systemtags": {
            "created": "20170323185212447",
            "text": "<$list filter=\"[all[shadows+tiddlers]tags[]is[system]sort[title]]\">\n\n<$transclude tiddler=\"$:/core/ui/TagTemplate\"/> <small class=\"tc-menu-list-count\"><$count filter=\"[all[current]tagging[]]\"/></small>\n\n</$list>\n",
            "title": "$:/plugins/tg/layout/systemtags",
            "tags": "$:/tags/MoreSideBar",
            "modifier": "TonGerner",
            "modified": "20200310172011553",
            "list-after": "$:/core/ui/MoreSideBar/Tags",
            "creator": "TonGerner",
            "caption": "System tags"
        },
        "$:/plugins/tg/layout/tools/style": {
            "created": "20200115141940681",
            "text": "/* REMOVE DESCRIPTIONS OF BUTTONS IN TOOLS TAB */\n.tc-sidebar-lists .tc-muted {\n     display:none;\n}\n",
            "type": "text/css",
            "title": "$:/plugins/tg/layout/tools/style",
            "tags": "$:/tags/Stylesheet",
            "modified": "20200310172113537"
        },
        "$:/plugins/tg/layout/images/pin": {
            "text": "<svg class=\"tgc-pin tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 8 8\">\n  <path d=\"m1.85672,0.03562a0.5,0.49555 0 0 0 0.16,0.99109l0.5,0l0,1.98219l-1,0c-0.55,0 -1,0.44599 -1,0.99109l3,0l0,2.97328l0.44,0.99109l0.56,-0.99109l0,-2.97328l3,0c0,-0.5451 -0.45,-0.99109 -1,-0.99109l-1,0l0,-1.98219l0.5,0a0.5,0.49555 0 1 0 0,-0.99109l-4,0a0.5,0.49555 0 0 0 -0.09,0a0.5,0.49555 0 0 0 -0.06,0l-0.01,0z\"/>\n</svg>",
            "title": "$:/plugins/tg/layout/images/pin",
            "tags": "",
            "modified": "20200312161110078",
            "created": "20180131170610630"
        },
        "$:/plugins/tg/layout/images/unpin": {
            "text": "<svg class=\"tgc-unpin tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 8 8\">\n  <path transform=\"rotate(89.90647888183594 4.016719818115234,3.998984575271606) \" d=\"m1.85672,0.03562a0.5,0.49555 0 0 0 0.16,0.99109l0.5,0l0,1.98219l-1,0c-0.55,0 -1,0.44599 -1,0.99109l3,0l0,2.97328l0.44,0.99109l0.56,-0.99109l0,-2.97328l3,0c0,-0.5451 -0.45,-0.99109 -1,-0.99109l-1,0l0,-1.98219l0.5,0a0.5,0.49555 0 1 0 0,-0.99109l-4,0a0.5,0.49555 0 0 0 -0.09,0a0.5,0.49555 0 0 0 -0.06,0l-0.01,0z\"/>\n</svg>",
            "title": "$:/plugins/tg/layout/images/unpin",
            "tags": "",
            "modified": "20200312161053254",
            "created": "20180130174200638"
        },
        "$:/plugins/tg/layout/sticky": {
            "text": "<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" type=\"match\" text=\"yes\">\n``\n.tc-tiddler-title {\n     position: -webkit-sticky;\n     position: -moz-sticky;\n     position: -o-sticky;\n     position: -ms-sticky;\n     position: sticky;\n     top: ``{{$:/plugins/tg/layout/styles!!topbar-height}}``;\n     background: ``<<colour tiddler-background>>``;\n     z-index: 500;\n}\n.tc-editor-toolbar {\n     position: -webkit-sticky;\n     position: -moz-sticky;\n     position: -o-sticky;\n     position: -ms-sticky;\n     position: sticky;\n     top: ``calc({{$:/plugins/tg/layout/styles!!topbar-height}} + 40px)``;\n     background: ``<<colour tiddler-background>>``;\n     z-index: 500;\n}\n\n``\n<$list filter=\"[range[100]]\">\n`.tc-story-river .tc-tiddler-frame:nth-child(100n+`<$text text=<<currentTiddler>>/>`) {\nz-index: `<$text text={{{ [[200]subtract<currentTiddler>] }}}/>`;\n}\n`\n</$list>\n</$reveal>\n",
            "type": "text/vnd.tiddlywiki",
            "title": "$:/plugins/tg/layout/sticky",
            "tags": "",
            "modified": "20200312155210620",
            "created": "20170330150510113"
        },
        "$:/plugins/tg/layout/macros/doc": {
            "created": "20200313125315847",
            "text": "\\define icn(icon)\n<button class=\"tc-btn-invisible\"> {{$icon$}}</button>\n\\end\n",
            "title": "$:/plugins/tg/layout/macros/doc",
            "tags": "$:/tags/Macro",
            "modified": "20200313130334028"
        },
        "$:/plugins/tg/layout/images/layout": {
            "text": "<svg class=\"tgc-layout-button tc-image-button\" height=\"22pt\" width=\"22pt\" viewBox=\"0 0 22 22\">\n<path  d=\"m19.84313,0.21698l-17.65497,0c-1.08334,0 -1.96191,0.9235 -1.96191,2.0571l0,17.48416c0,1.1359 0.87857,2.0571 1.96191,2.0571l17.65497,0c1.08334,0 1.96191,-0.92119 1.96191,-2.0571l0,-17.48416c0,-1.1336 -0.87857,-2.0571 -1.96191,-2.0571zm-17.65497,7.80127l5.71838,0l0,11.73768l-5.71838,0l0,-11.73768zm7.67809,11.73768l0,-11.73768l9.97689,0l0,-2.0571l-17.65497,0l0,-3.68707l17.65497,0l0.0022,17.48416l-9.97909,0l0,-0.00231z\"/>\n</svg>",
            "title": "$:/plugins/tg/layout/images/layout",
            "tags": "",
            "modified": "20200313130134669",
            "created": "20171203171851124"
        },
        "$:/plugins/tg/layout/buttons/toggle-sticky": {
            "text": "<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" type=\"nomatch\" text=\"no\">\n<$button set=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" setTo=\"no\" tooltip=\"Toggle sticky behaviour\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n<span class=\"tgc-active-indicator\">\n{{$:/plugins/tg/layout/images/pin}}\n</span>\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"sticky\"/></span>\n</$list>\n</$button>\n\n</$reveal>\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" type=\"match\" text=\"no\">\n<$button set=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" setTo=\"yes\" tooltip=\"Toggle sticky behaviour\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/plugins/tg/layout/images/unpin}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"non-sticky\"/></span>\n</$list>\n</$button>\n</$reveal>",
            "title": "$:/plugins/tg/layout/buttons/toggle-sticky",
            "tags": "$:/tags/PageControls",
            "modified": "20200313124546512",
            "description": "Toggle sticky behaviour",
            "created": "20200312200703196",
            "caption": "{{$:/plugins/tg/layout/images/pin}} toggle sticky behaviour"
        },
        "$:/plugins/tg/layout/settings-toolbar-up": {
            "text": "!!Tiddler toolbar settings\n<table class=\"tablestyle\">\n<<tableRow \"Spacing title &harr; toolbar\" \"$:/plugins/tg/layout/styles\" \"title-toolbar-spacing\">>\n<<tableRow \"Size of tiddler buttons\" \"$:/plugins/tg/layout/styles\" \"tiddler-button-size\">>\n<<tableRow \"Button spacing 'Tiddler toolbar'\" \"$:/plugins/tg/layout/styles\" \"tiddler-button-spacing\">>\n</table>\n<$button tooltip=\"Help\">\n<$action-sendmessage $message=\"tm-open-window\" $param=\"$:/plugins/tg/layout/settings-toolbar-up-help\" height=\"200px\" width=\"720px\"/>Help</$button>",
            "title": "$:/plugins/tg/layout/settings-toolbar-up",
            "order": "9",
            "modified": "20200316201821606",
            "created": "20200314154628735",
            "caption": "Toolbar - title"
        },
        "$:/plugins/tg/layout/settings-toolbar-up-help": {
            "text": "|Entry |Description |Default |h\n|Spacing title &harr; toolbar |Space between toolbar and title of tiddler | 1.3em |\n|Size of tiddler buttons |Size of tiddler buttons | 0.6em |\n|Button spacing 'Tiddler toolbar' |Spacing between buttons of tiddler toolbar | 0px |",
            "title": "$:/plugins/tg/layout/settings-toolbar-up-help",
            "tags": "",
            "modified": "20200314172011820",
            "created": "20200314154755381"
        },
        "$:/plugins/tg/layout/toolbar-up": {
            "created": "20200314153228277",
            "text": "\\define title-styles()\nfill:$(foregroundColor)$;\n\\end\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<span class=\"tc-tiddler-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\"><$transclude tiddler=<<listItem>>/></$set></$reveal></$list>\n</span>\n<$set name=\"tv-wikilinks\" value={{$:/config/Tiddlers/TitleLinks}}>\n<$link>\n<div class=\"tgc-tiddler-title-space\">&nbsp;</div>\n<$set name=\"foregroundColor\" value={{!!color}}>\n<span class=\"tc-tiddler-title-icon\" style=<<title-styles>>>\n<$transclude tiddler={{!!icon}}/>\n</span>\n</$set>\n<$list filter=\"[all[current]removeprefix[$:/]]\">\n<h2 class=\"tc-title\" title={{$:/language/SystemTiddler/Tooltip}}>\n<span class=\"tc-system-title-prefix\">$:/</span><$text text=<<currentTiddler>>/>\n</h2>\n</$list>\n<$list filter=\"[all[current]!prefix[$:/]]\">\n<h2 class=\"tc-title\">\n<$view field=\"title\"/>\n</h2>\n</$list>\n</$link>\n</$set>\n</div>\n\n<$reveal type=\"nomatch\" text=\"\" default=\"\" state=<<tiddlerInfoState>> class=\"tc-tiddler-info tc-popup-handle\" animate=\"yes\" retain=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfoSegment]!has[draft.of]] [[$:/core/ui/TiddlerInfo]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>> mode=\"block\"/></$list>\n\n</$reveal>\n</div>",
            "title": "$:/plugins/tg/layout/toolbar-up",
            "modified": "20200316201335735"
        },
        "$:/plugins/tg/layout/toolbar-up/ckeckbox": {
            "created": "20200316192402200",
            "text": "<$checkbox\nfield=\"up\"\nchecked=\"yes\"\nunchecked=\"no\"\ndefault=\"no\"\ncheckactions=\"\"\"<$action-setfield $tiddler=\"$:/plugins/tg/layout/toolbar-up\" title=\"$:/core/ui/ViewTemplate/title\"/>\n<$action-setfield $tiddler=\"$:/plugins/tg/layout/settings-toolbar-up\" tags=\"$:/tags/plugin-tweaks\"/>\n<$action-setfield $tiddler=\"$:/core/ui/ViewTemplate/title\" tags=\"$:/tags/ViewTemplate\"/>\"\"\"\nuncheckactions=\"\"\"\n<$action-deletetiddler $tiddler=\"$:/core/ui/ViewTemplate/title\"/>\n<$action-deletefield $tiddler=\"$:/plugins/tg/layout/settings-toolbar-up\" tags/>\"\"\"\n>\n Set tiddler toolbar above the tiddler title\n</$checkbox>\n",
            "up": "no",
            "title": "$:/plugins/tg/layout/toolbar-up/ckeckbox",
            "tags": "",
            "modified": "20200316202137510"
        }
    }
}

{{$:/AdvancedSearch}}

\define timeline-title()
<!-- This macro overwrites the core macro; 
     the recent results will be sorted 
     each day in alpabetical order.
     -->
<$view field="title"/>
\end
\define timeline(limit:"100",format:"DDth MMM YYYY",subfilter:"",dateField:"modified")
<div class="tc-timeline">
<$list filter="[!is[system]$subfilter$has[$dateField$]!sort[$dateField$]limit[$limit$]eachday[$dateField$]]">
<div class="tc-menu-list-item">
<$view field="$dateField$" format="date" template="$format$"/>
<$list filter="[sameday:$dateField${!!$dateField$}!is[system]$subfilter$sort[]]">
<div class="tc-menu-list-subitem">
<$link to={{!!title}}>
<<timeline-title>>
</$link>
</div>
</$list>
</div>
</$list>
</div>
\end

{
    "tiddlers": {
        "$:/plugins/tg/leftmenu/icon": {
            "text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 100 100\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:svg=\"http://www.w3.org/2000/svg\">\n<metadata id=\"metadata7\">image/svg+xml</metadata>\n<path fill=\"#a0a0ff\" stroke=\"#a0a0ff\" stroke-width=\"1.2218\" stroke-miterlimit=\"4\" id=\"path4142\" d=\"m48.98237,97.8691l-41.98313,-24.239l0,-48.47796l41.98313,-24.23897l41.98313,24.23897l0,48.47796l-41.98313,24.239z\"/>\n<path d=\"m11.13776,43.62076l27.36734,0c1.2589,0 2.28061,-1.0217 2.28061,-2.2806c0,-1.2589 -1.02171,-2.2806 -2.28061,-2.2806l-27.36734,0c-1.2589,0 -2.28062,1.0217 -2.28062,2.2806c0,1.2589 1.02172,2.2806 2.28062,2.2806zm27.36734,4.56114l-27.36734,0c-1.2589,0 -2.28062,1.0217 -2.28062,2.2806c0,1.2589 1.02172,2.2806 2.28062,2.2806l27.36734,0c1.2589,0 2.28061,-1.0217 2.28061,-2.2806c0,-1.2589 -1.02171,-2.2806 -2.28061,-2.2806zm0,9.1225l-27.36734,0c-1.2589,0 -2.28062,1.0217 -2.28062,2.2806c0,1.2589 1.02172,2.2806 2.28062,2.2806l27.36734,0c1.2589,0 2.28061,-1.0217 2.28061,-2.2806c0,-1.2589 -1.02171,-2.2806 -2.28061,-2.2806z\" id=\"path5494-7\"/>\n</svg>",
            "type": "image/svg+xml",
            "title": "$:/plugins/tg/leftmenu/icon",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20200316144916159",
            "creator": "TonGerner",
            "created": "20161206191404314"
        },
        "$:/plugins/tg/leftmenu/leftmenu": {
            "text": "<div class=\"tgc-leftmenu tc-table-of-contents\">\n\n@@.tc-site-title\nMenu\n@@\n\n<$scrollable class='tgc-scrollable-menu'>\n\n{{$:/plugins/tg/leftmenu/leftmenu-entries}}\n\n</$scrollable>\n\n</div>\n\n",
            "title": "$:/plugins/tg/leftmenu/leftmenu",
            "tags": "$:/tags/PageTemplate",
            "modifier": "TonGerner",
            "modified": "20200316144943816",
            "creator": "TonGerner",
            "created": "20150710121319258"
        },
        "$:/plugins/tg/leftmenu/leftmenu-entries": {
            "text": "<!--\nAdd your own left menu entries according to the help below.\nFor more information see http://tw5topleft.tiddlyspot.com/.\n-->\n\n<!-- LINKS AS MENU ENTRIES\n[[link1]]<br>\n[[link2]]<br>\n...\n-->\n\n<!-- TAGS AS MENU ENTRIES\n{{{ [tag[tag1]] }}}\n{{{ [tag[tag2]] }}}\n...\n-->\n\n<!-- TAGPILLS AS MENU ENTRIES\n{{tagpill1||$:/core/ui/TagTemplate}}\n{{tagpill2||$:/core/ui/TagTemplate}}\n...\n-->\n\n<!-- TOC AS MENU ENTRIES\n<<toc-selective-expandable 'Contents'>>\n-->\n\n<!-- NORMAL & DIRTREE SLIDER ENTRIES\nFor more information see http://tw5topleft.tiddlyspot.com/.\nThese entries use my slider macro\n(slider available in this plugin - with styling)\n-->\n\n",
            "title": "$:/plugins/tg/leftmenu/leftmenu-entries",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20200428123644526",
            "creator": "TonGerner",
            "created": "20150710160808999"
        },
        "$:/plugins/tg/leftmenu/readme": {
            "created": "20161206160515418",
            "creator": "TonGerner",
            "text": "This plugin creates a fixed left menu with a shifted story-river (which assumes a widescreen monitor - otherwise is is not possible to display the left menu, the story river, and the sidebar together).<br>\nThe tiddler $:/plugins/tg/leftmenu/leftmenu-entries contains the left menu entries (transcluded in $:/plugins/tg/leftmenu/leftmenu).<br>\nFor an alternative left menu (no widescreen needed) see http://tw5topleft.tiddlyspot.com/\n\n<<<\n''Note:''\n\n* This plugin needs my $:/plugins/tg/layout plugin for general layout settings (available at http://tongerner.tiddlyspot.com/)\n* For more information about possible left menu entries see http://tw5topleft.tiddlyspot.com/\n* To create more 'room' you can consider the 'Tight' theme\n<<<\n\nSettings for the layout can be found in ''~ControlPanel > Appearance > [[Plugin tweaks|$:/plugins/tg/layout/tweaks]]''.",
            "title": "$:/plugins/tg/leftmenu/readme",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20200401095554402"
        },
        "$:/plugins/tg/leftmenu/settings": {
            "created": "20150710114238972",
            "creator": "TonGerner",
            "text": "!!Left menu\n\n<$button>\n<$action-deletetiddler $tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\"/>\n<$action-deletetiddler $tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\"/>\n<$action-setfield $tiddler=\"$:/plugins/tg/leftmenu/styles\" $field=\"leftmenu-width\" $value=\"0px\"/>\nReset\n</$button>\n\n<$button>\n<$action-setfield $tiddler=\"$:/plugins/tg/leftmenu/storyleft\" title=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\"/>\n<$action-setfield $tiddler=\"$:/plugins/tg/leftmenu/storyright\" title=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\"/>\n<$action-setfield $tiddler=\"$:/plugins/tg/leftmenu/styles\" $field=\"leftmenu-width\" $value=\"200px\"/>\nDefault\n</$button>\n\n<table class=\"tablestyle\">\n@@.brown ''Left menu settings''@@\n<<tableRow \"Width 'Left menu'\" \"$:/plugins/tg/leftmenu/styles\" \"leftmenu-width\">>\n<<tableRow \"Top 'Left menu'\" \"$:/plugins/tg/leftmenu/styles\" \"top-leftmenu\">>\n<<tableRow \"Scrolling height 'Left menu'\" \"$:/plugins/tg/leftmenu/styles\" \"scroll-height\">>\n</table>\n\n<$button message=\"tm-open-window\" param=\"$:/plugins/tg/leftmenu/settings-help\" tooltip=\"Help\" aria-label=\"Help\">Help</$button>\n\n> ''Note:'' For ease of adjusting the 'Theme tweaks' tab has been transcluded below:\n\n{{$:/plugins/tg/layout/themetweaks}}",
            "title": "$:/plugins/tg/leftmenu/settings",
            "tags": "$:/tags/plugin-tweaks",
            "order": "4",
            "modifier": "TonGerner",
            "modified": "20200401150313494",
            "caption": "Left menu"
        },
        "$:/plugins/tg/leftmenu/settings-help": {
            "text": "|Entry |Description |Default|h\n|Width 'Left menu'|Width of the left menu| 200px|\n|Top 'Left menu'|Start (from the top) of the left menu| 75px|\n|Scrolling height 'Left menu'|Height of scrolling area of the left menu| 600px|\n",
            "title": "$:/plugins/tg/leftmenu/settings-help",
            "modifier": "TonGerner",
            "modified": "20200428101031965",
            "creator": "TonGerner",
            "created": "20150710114357700"
        },
        "$:/plugins/tg/leftmenu/slider-macro": {
            "text": "\\define slider(label,text)\n<$button popup=\"$:/state/$label$\" class=\"tc-btn-invisible tgc-slider\"><$text text=\"$label$ »\"/></$button>\n<$reveal type=\"nomatch\" text=\"\" default=\"\" state=\"$:/state/$label$\" animate=\"yes\">\n\n{{$text$}}\n\n</$reveal>\n\\end\n",
            "title": "$:/plugins/tg/leftmenu/slider-macro",
            "tags": "$:/tags/Macro",
            "modifier": "TonGerner",
            "modified": "20200316145203201",
            "creator": "TonGerner",
            "created": "20161206183736562"
        },
        "$:/plugins/tg/leftmenu/storyleft": {
            "created": "20200316150237013",
            "creator": "TonGerner",
            "text": "200px",
            "title": "$:/plugins/tg/leftmenu/storyleft",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20200316185559384"
        },
        "$:/plugins/tg/leftmenu/storyright": {
            "created": "20200316150305773",
            "creator": "TonGerner",
            "text": "970px",
            "title": "$:/plugins/tg/leftmenu/storyright",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20200317085608249"
        },
        "$:/plugins/tg/leftmenu/styles": {
            "text": "<pre>/* LEFT MENU */\n\n/* LEFT MENU, FIXED IN POSITION */\nhtml .tgc-leftmenu {\n     display: block;\n     padding: 0px 0px 0px 20px;\n     position: fixed;\n     left: 0px;\n     top: {{!!top-leftmenu}};\n     width: {{!!leftmenu-width}};\n     z-index: 99;\n}\n.tgc-scrollable-menu {\n     padding: 1em;\n     height: {{!!scroll-height}};\n     position: relative;\n}\n\n/* SLIDER STYLING */\nhtml .tgc-slider {\n     color: #006DEC;\n     font-weight: bold;\n}\n\n.tgc-slider:hover {\n     color: #006DEC;\n     text-decoration: underline;\n}\n\n/* STYLING FOR DIRTREE MENU */\n\n.dirtree, .dirtree ul {\n     list-style-type: none;\n     background-image: url(data:image/gif;base64,R0lGODlhEAAQAIABAAAAAP///yH5BAEKAAEALAAAAAAQABAAAAIbRI6ppo3sGoxp0mNvpjt290nXMlblc2JpECoFADs=);\n     background-repeat: repeat-y;\n     margin: 0;\n     padding: 0;\n}\n.dirtree ul {\n     margin-left: 16px;\n}\n.dirtree li {\n     margin: 0;\n     padding: 0 16px 0 18px;\n     background-image: url(data:image/gif;base64,R0lGODlhEAAQAIABAAAAAP///yH5BAEKAAEALAAAAAAQABAAAAISjI+py+0Po5wM2IszoLz7DwYFADs=);\n     background-repeat: no-repeat;\n     line-height: 1.5;\n}\n.dirtree li:last-child {\n     background-image: url(data:image/gif;base64,R0lGODlhEAAQAIABAAAAAP///yH5BAEKAAEALAAAAAAQABAAAAIaRI6ppo3sGoxp0mNvpjuCD4Zid5XmiabqWQAAOw==);\n     background-color: #fff;\n}\n</pre>",
            "top-leftmenu": "75px",
            "title": "$:/plugins/tg/leftmenu/styles",
            "tags": "$:/tags/Stylesheet",
            "scroll-height": "600px",
            "modifier": "TonGerner",
            "modified": "20200428100656622",
            "list-after": "$:/plugins/tg/layout_adjustment",
            "leftmenu-width": "200px",
            "creator": "TonGerner",
            "created": "20161212162542828"
        },
        "$:/plugins/tg/leftmenu/help": {
            "text": "| Default values (px) |<|<||h\n|| standard TW<br>Vanilla theme | with<br>left menu | Tight<br>theme|h\n|Width left menu | -| 200| 200|\n|Story left position | 0| 200| 160|\n|Story right | 770| 970| 920|\n\nIf you want to change the width of the left menu, you have to change 'Story left position' and 'Story right' accordingly",
            "title": "$:/plugins/tg/leftmenu/help",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20200428101153589",
            "creator": "TonGerner",
            "created": "20200331194654498"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/tg/ro/advanced-search-button-style": {
            "created": "20150519114003182",
            "text": "/* Hide advanced search button */\n.tc-image-advanced-search-button.tc-image-button {\n     padding-left: 15px;\n}",
            "type": "text/css",
            "title": "$:/plugins/tg/ro/advanced-search-button-style",
            "tags": "$:/tags/advanced-search-button",
            "modifier": "TonGerner",
            "modified": "20191230134649191",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/ro/change-settings": {
            "created": "20161108100322449",
            "text": "!!4) Settings\nTo customise the behaviour of TiddlyWiki\n\n{{$:/snippets/viewswitcher}}\n{{$:/plugins/tg/ro/sidebar-layout}}\n{{$:/core/ui/ControlPanel/Settings}}\n",
            "title": "$:/plugins/tg/ro/change-settings",
            "tags": "",
            "modified": "20191230134715488",
            "caption": "4. Settings"
        },
        "$:/plugins/tg/ro/help": {
            "created": "20140716184603499",
            "text": "!! Help\n\nBefore you 'publish' your ~TiddlyWiki:\n\n# Make a backup of your wiki\n# Get a defined start-up situation for your TW:\n#* Define your starting tiddler(s) in [[$:/DefaultTiddlers]]\n#* If required, define the state of the sidebar tabs\n#* If required create a tiddler (e.g. `xyz`) which transcludes $:/plugins/tg/ro/publish to create another option to return from readonly to edit mode\n#* If required change the keyboard shortut (Ctrl-Shift-Alt-P) for opening $:/plugins/tg/ro/publish via Control Panel > Keyboard Shortcuts\n# Follow the procedure given in  tabs 1 to 5.\n\nThere are a few ways to return from readonly to edit mode:\n\n# Press the configured keyboard shortcut (default Ctrl-Shift-Alt-P), which opens $:/plugins/tg/ro/publish\n# Start the TW with `#xyz` appended which opens $:/plugins/tg/ro/publish\n# Search for:\n#* ''Publish'' to get to $:/plugins/tg/ro/publish\n#* ''~ControlPanel'' to get to ''$:/ControlPanel > Appearance > Publish''\n\n<<<\n''Note:''<br>\n@@.RED Although you can hide the 'Sidebar' and 'Advanced Search' button, they remain 'active'!@@\n<<<\n",
            "title": "$:/plugins/tg/ro/help",
            "modifier": "TonGerner",
            "modified": "20200318122932944",
            "creator": "TonGerner",
            "caption": "Help"
        },
        "$:/plugins/tg/ro/hide-sidebar-buttons": {
            "created": "20161108100124814",
            "text": "!! Show/hide sidebar buttons\nUncheck to hide the appropriate sidebar button\n\n|Button |visible |note |h\n|Sidebar button (<<icn $:/core/images/chevron-left>>/<<icn $:/core/images/chevron-right>>) | <$checkbox tiddler=\"$:/core/ui/TopBar/menu\" tag=\"$:/tags/TopRightBar\"/> | 1 |\n|Advanced search button (<<icn $:/core/images/advanced-search-button>>) | <$checkbox tiddler=\"$:/plugins/tg/ro/advanced-search-button-style\" tag=\"$:/tags/Stylesheet\" invertTag=\"yes\"/> | 1 |\n|Publish button  (<<icn $:/plugins/tg/ro/images/publish>>) | <$checkbox tiddler=\"$:/plugins/tg/ro/publish-button\" tag=\"$:/tags/TopRightBar\"/> | 2 |\n\n<<<\n''Note:''\n\n# Although 'invisible' (`display:none;`), ''Sidebar'' and ''Advanced search'' buttons stay active!\n# The ''Publish'' button is invisible and inactive (`$:/tags/TopRightBar` removed)\n<<<",
            "title": "$:/plugins/tg/ro/hide-sidebar-buttons",
            "tags": "",
            "modified": "20200316123412336",
            "caption": "3. Sidebar buttons"
        },
        "$:/plugins/tg/ro/hide-sidebar-tabs": {
            "text": "\\define check()\n<$checkbox\ntag=\"$:/tags/SideBar\"\nchecked=\"$:/tags/SideBar\"\nunchecked=\"$:/tags/hide\"\ndefault=\"$:/tags/SideBar\"\ncheckactions=\"\"\"<$action-deletefield tags/><$action-setfield tags=\"$:/tags/SideBar\"/>\"\"\"\nuncheckactions=\"\"\"<$action-deletefield tags/><$action-setfield tags=\"$:/tags/hide\"/>\"\"\"\n<$link to={{!!title}}>&emsp;\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$checkbox>\n\\end\n\n!! Show/hide sidebar tabs\nUncheck to hide the appropriate sidebar tab\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]]\"><br>\n<<check>>\n</$list>\n<$list filter=\"[tag[$:/tags/hide]]\"><br>\n<<check>>\n</$list>\n",
            "title": "$:/plugins/tg/ro/hide-sidebar-tabs",
            "tags": "",
            "modified": "20200319201054427",
            "created": "20161108100017749",
            "caption": "2. Sidebar tabs"
        },
        "$:/plugins/tg/ro/hide-toolbar-buttons": {
            "created": "20161108095713019",
            "text": "!! Hide toolbar buttons\n\nDisable in Control panel (Appearance > Toolbars) the buttons you do not need in read-only mode.\n\n''//Disable at least the following buttons://''\n\n* ~ViewToolbar\n** Edit button <<icn $:/core/images/edit-button>>\n** More button <<icn $:/core/images/down-arrow>>\n** Info button <<icn $:/core/images/info-button>> (Tools tab contains button configuration!)\n* Page control buttons\n** New tiddler button <<icn $:/core/images/new-button>>\n** Control panel button <<icn $:/core/images/options-button>>\n** Save button <<icn $:/core/images/save-button>>\n** More button <<icn $:/core/images/down-arrow>>\n\n{{$:/language/ControlPanel/Toolbars/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"$:/core/ui/ControlPanel/Toolbars/ViewToolbar $:/core/ui/ControlPanel/Toolbars/PageControls\" \"$:/core/ui/ControlPanel/Toolbars/ViewToolbar\" \"$:/state/tabs/controlpanel/toolbars\" \"tc-vertical\">>\n</div>",
            "title": "$:/plugins/tg/ro/hide-toolbar-buttons",
            "tags": "",
            "modified": "20200319203659025",
            "caption": "1. Buttons"
        },
        "$:/plugins/tg/ro/icon": {
            "created": "20170322100000766",
            "text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:svg=\"http://www.w3.org/2000/svg\">\n <metadata id=\"metadata7\">image/svg+xml</metadata>\n <g>\n  <g stroke=\"null\" id=\"layer1\">\n   <path stroke=\"#a0a0ff\" d=\"m62.98237,124.8691l-52.98313,-30.489l0,-60.97796l52.98313,-30.48897l52.98313,30.48897l0,60.97796l-52.98313,30.489z\" id=\"path4142\" stroke-miterlimit=\"4\" stroke-width=\"1.2218\" fill=\"#a0a0ff\"/>\n   <g stroke=\"null\" transform=\"matrix(3.659923335400057,0,0,3.647856469142962,20.327076261330674,1218.0946222935067) \" id=\"g4657\">\n    <path stroke=\"null\" d=\"m3.22135,-313.27808l4.72483,4.70973l10.79962,-10.7651l-4.72483,-4.70973l-10.79962,10.7651zm13.51982,-13.47661l-1.99364,1.98727l4.72409,4.70899l1.99364,-1.98727c0.6766,-0.67444 -0.00001,-1.34889 -0.00001,-1.34889l-3.37088,-3.3601c0,0 -0.6766,-0.67444 -1.3532,0zm-14.18411,14.11637l-0.99229,5.72125l5.7273,-1.00138l-4.735,-4.71987l-0.00001,0z\" id=\"editor_pencil_pen_edit_write_glyph\" fill=\"#000000\"/>\n    <rect stroke=\"null\" stroke-width=\"null\" stroke-linejoin=\"null\" stroke-linecap=\"null\" x=\"-236.34445\" y=\"-219.86093\" width=\"26.11743\" height=\"2.10315\" id=\"svg_1\" transform=\"matrix(0.69825835,0.71584585,-0.71584585,0.69825835,11.119094,-4.6050809) \"/>\n   </g>\n  </g>\n </g>\n</svg>",
            "type": "image/svg+xml",
            "title": "$:/plugins/tg/ro/icon",
            "tags": "",
            "modified": "20191230134918451"
        },
        "$:/plugins/tg/ro/image-save-button": {
            "created": "20140715185836189",
            "text": "<svg class=\"tgc-image-save-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n    <g fill-rule=\"evenodd\">\n        <path d=\"M120.78304,34.329058 C125.424287,43.1924006 128.049406,53.2778608 128.049406,63.9764502 C128.049406,99.3226742 99.3956295,127.97645 64.0494055,127.97645 C28.7031816,127.97645 0.0494055385,99.3226742 0.0494055385,63.9764502 C0.0494055385,28.6302262 28.7031816,-0.0235498012 64.0494055,-0.0235498012 C82.8568763,-0.0235498012 99.769563,8.08898558 111.479045,21.0056358 L114.159581,18.3250998 C117.289194,15.1954866 122.356036,15.1939641 125.480231,18.3181584 C128.598068,21.4359957 128.601317,26.5107804 125.473289,29.6388083 L120.78304,34.329058 Z M108.72451,46.3875877 C110.870571,51.8341374 112.049406,57.767628 112.049406,63.9764502 C112.049406,90.4861182 90.5590735,111.97645 64.0494055,111.97645 C37.5397375,111.97645 16.0494055,90.4861182 16.0494055,63.9764502 C16.0494055,37.4667822 37.5397375,15.9764502 64.0494055,15.9764502 C78.438886,15.9764502 91.3495036,22.308215 100.147097,32.3375836 L58.9411255,73.5435552 L41.975581,56.5780107 C38.8486152,53.4510448 33.7746915,53.4551552 30.6568542,56.5729924 C27.5326599,59.6971868 27.5372202,64.7670668 30.6618725,67.8917192 L53.279253,90.5090997 C54.8435723,92.073419 56.8951519,92.8541315 58.9380216,92.8558261 C60.987971,92.8559239 63.0389578,92.0731398 64.6049211,90.5071765 L108.72451,46.3875877 Z\"></path>\n    </g>\n</svg>",
            "creator": "TonGerner",
            "modified": "20191230134931683",
            "modifier": "TonGerner",
            "title": "$:/plugins/tg/ro/image-save-button"
        },
        "$:/plugins/tg/ro/images/publish": {
            "created": "20170322105731731",
            "text": "<svg class=\"tgc-publish-ro tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 486 438\">\n<style>\n  .ro {\n    fill:none;\n    stroke-width:40;\n    stroke:#FF00FF;\n  }\n</style>\n    <path class=\"ro\" d=\"m203.2 81.6l-141.6 0 0 311.7 313.3 0 0-139.5\"/>\n    <path class=\"ro\" d=\"m176.4 279.6l0-60 188-188 60.5 60.5 -189.5 189.5 -59 0\"/>\n    <path class=\"ro\" d=\"m326.9 69l61.1 61.1\"/>\n</svg>",
            "title": "$:/plugins/tg/ro/images/publish",
            "tags": "",
            "modified": "20191230134946688"
        },
        "$:/plugins/tg/ro/license": {
            "created": "20180124175202510",
            "text": "[[Readonly plugin|http://tongerner.tiddlyspot.com/#Readonly%20plugin]] &copy; Ton Gerner &mdash; 2018-2020\n\nMIT License: https://opensource.org/licenses/MIT\n",
            "title": "$:/plugins/tg/ro/license",
            "tags": "",
            "modified": "20191230135005582"
        },
        "$:/plugins/tg/ro/publish": {
            "created": "20140715185723459",
            "text": "!! Readonly plugin\n<<tabs \"$:/plugins/tg/ro/help $:/plugins/tg/ro/hide-toolbar-buttons $:/plugins/tg/ro/hide-sidebar-tabs  $:/plugins/tg/ro/hide-sidebar-buttons $:/plugins/tg/ro/change-settings $:/plugins/tg/ro/save\" \"Help\">>\n\n\n\n\n\n",
            "title": "$:/plugins/tg/ro/publish",
            "tags": "$:/tags/ControlPanel/Appearance",
            "modifier": "TonGerner",
            "modified": "20191230135048784",
            "creator": "TonGerner",
            "caption": "Publish"
        },
        "$:/plugins/tg/ro/publish-button": {
            "created": "20170506162930803",
            "text": "<$button class=\"tc-btn-invisible\" tooltip=\"Publish read-only\">\n<$action-sendmessage $message=\"tm-open-window\" $param=\"$:/plugins/tg/ro/publish\" height=\"700px\" width=\"550px\"/>\n{{$:/plugins/tg/ro/images/publish}}\n</$button>",
            "title": "$:/plugins/tg/ro/publish-button",
            "tags": "$:/tags/publish-button $:/tags/TopRightBar",
            "modifier": "TonGerner",
            "modified": "20191231184447737",
            "list-before": "$:/core/ui/TopBar/menu",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/ro/readme": {
            "text": "A plugin to make ~TiddlyWiki read-only.\n\nYou can hide:\n\n* ''All'' toolbar buttons\n* 'Sidebar' button (to switch Sidebar) and 'Advanced search' button (next to Search)\n* All Sidebar tabs tagged with $:/tags/SideBar.\n\nClick the Publish button <<icn $:/plugins/tg/ro/images/publish>> next to the sidebar button <<icn $:/core/images/chevron-left>>/<<icn $:/core/images/chevron-right>> to start making your TW 'publish-ready'.  A new window with six tabs opens. Read the Help tab and follow the 5 steps.\n\n<<<\n''Note:''<br>@@.RED Although you can hide the 'Sidebar' button and 'Advanced Search' button, they remain 'active'!@@\n<<<\n\nThere are a few ways to return from readonly to edit mode, see [[Help|$:/plugins/tg/ro/help]].\n",
            "title": "$:/plugins/tg/ro/readme",
            "modifier": "TonGerner",
            "modified": "20200319200627098",
            "creator": "TonGerner",
            "created": "20140821172500339"
        },
        "$:/plugins/tg/ro/save": {
            "created": "20161108100434387",
            "text": "! Save\n\n{{$:/core/ui/ControlPanel/Saving}}\n\n@@.BLUE ''Save''@@ {{$:/plugins/tg/ro/save-button}}\n",
            "title": "$:/plugins/tg/ro/save",
            "tags": "",
            "modified": "20191230135228815",
            "caption": "5. Save"
        },
        "$:/plugins/tg/ro/save-button": {
            "created": "20170405200808621",
            "text": "<$button message=\"tm-save-wiki\" param={{$:/config/SaveWikiButton/Template}}>\n<span class=\"tc-dirty-indicator\">\n{{$:/plugins/tg/ro/image-save-button}}\n</span>\n</$button>",
            "title": "$:/plugins/tg/ro/save-button",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191230135303043",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/ro/sidebar-button-style": {
            "created": "20140715185800387",
            "text": "/* Hide sidebar button */\nsvg.tc-image-chevron-left {\n     display: none;\n}\n\nsvg.tc-image-chevron-right {\n     display: none;\n}\n",
            "type": "text/css",
            "title": "$:/plugins/tg/ro/sidebar-button-style",
            "tags": "$:/tags/sidebar-button",
            "modifier": "TonGerner",
            "modified": "20191230135322974",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/ro/sidebar-layout": {
            "created": "20170307110734575",
            "text": "\\define lingo-base() $:/language/ThemeTweaks/\n\nSidebar layout: <$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><option value=\"fixed-fluid\"><<lingo Options/SidebarLayout/Fixed-Fluid>></option><option value=\"fluid-fixed\"><<lingo Options/SidebarLayout/Fluid-Fixed>></option></$select>\n",
            "title": "$:/plugins/tg/ro/sidebar-layout",
            "tags": "",
            "modified": "20191230135338759"
        },
        "$:/plugins/tg/ro/styles": {
            "created": "20161104132710834",
            "text": "/* Slider style */\n\nhtml .tgc-slider {\n     color: #5778D8;\n     font-weight: bold;\n}\n\n.tgc-slider:hover {\n     color: #5778D8;\n     text-decoration: underline;\n}\n\n.RED {\n     color: red;\n     font-weight: bold;\n}",
            "title": "$:/plugins/tg/ro/styles",
            "tags": "$:/tags/Stylesheet",
            "modified": "20191230135353718",
            "type": "text/css"
        },
        "$:/plugins/tg/ro/macros/doc": {
            "created": "20200316122632179",
            "text": "\\define icn(icon)\n<button class=\"tc-btn-invisible\"> {{$icon$}}</button>\n\\end",
            "title": "$:/plugins/tg/ro/macros/doc",
            "tags": "$:/tags/Macro",
            "modified": "20200316123614203"
        },
        "$:/plugins/tg/ro/shortcut/publish": {
            "created": "20200317164804429",
            "text": "<$navigator story=\"$:/StoryList\">\n<$action-navigate $to=\"$:/plugins/tg/ro/publish\"/>\n</$navigator>",
            "title": "$:/plugins/tg/ro/shortcut/publish",
            "tags": "$:/tags/KeyboardShortcut",
            "modified": "20200317185519894",
            "key": "((publish))"
        },
        "$:/config/ShortcutInfo/publish": {
            "created": "20200317164006337",
            "text": "Open Publish window",
            "title": "$:/config/ShortcutInfo/publish",
            "tags": "",
            "modified": "20200317164305031"
        },
        "$:/config/shortcuts/publish": {
            "created": "20200317164439679",
            "text": "ctrl-shift-alt-P",
            "title": "$:/config/shortcuts/publish",
            "modified": "20200318102428021"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/tg/sro/change-settings": {
            "created": "20170322105507933",
            "text": "! Settings\nThese settings let you customise the view and sidebar layout of TiddlyWiki\n\n{{$:/snippets/viewswitcher}}\n{{$:/plugins/tg/sro/sidebar-layout}}\n\n---\n\n{{$:/core/ui/ControlPanel/Settings}}\n",
            "title": "$:/plugins/tg/sro/change-settings",
            "tags": "$:/tags/publish",
            "modified": "20200318114153795",
            "caption": "Settings"
        },
        "$:/plugins/tg/sro/help": {
            "created": "20170322105540899",
            "text": "! Help\nBefore you 'publish' your ~TiddlyWiki:\n\n# Make a backup of your wiki\n# Get a defined start-up situation for your TW:\n#* Define your starting tiddler(s) in [[$:/DefaultTiddlers]]\n#* If required, define the state of the sidebar and the sidebar tabs\n#* If required create a tiddler (e.g. `xyz`) which transcludes $:/plugins/tg/sro/publish to create another option to return from readonly to edit mode\n#* If required change the keyboard shortut (Ctrl-Shift-Alt-P) for opening $:/plugins/tg/sro/publish via Control Panel > Keyboard Shortcuts\n# Click the button ''Hide buttons & tabs'' in tab ''Buttons and sidebar tabs''\n# Adjust ''Settings'' in tab ''Settings''\n# Save in tab ''Save''\n\nThere are a few ways to return from readonly to edit mode:\n\n# Press the configured keyboard shortcut (default Ctrl-Shift-Alt-P), which opens $:/plugins/tg/sro/publish\n# Start the TW with `#xyz` appended which opens $:/plugins/tg/sro/publish\n# Search for:\n#* ''Publish'' to get to $:/plugins/tg/sro/publish\n#* ''~ControlPanel'' to get to ''$:/ControlPanel > Appearance > Publish''\n\n<<<\n''Note:''<br>\n@@.RED Although you can hide the 'Sidebar' and 'Advanced Search' button, they remain 'active'!@@\n<<<\n",
            "title": "$:/plugins/tg/sro/help",
            "tags": "$:/tags/publish",
            "modifier": "TonGerner",
            "modified": "20200318123600056",
            "creator": "TonGerner",
            "caption": "Help"
        },
        "$:/plugins/tg/sro/hide-buttons-tabs": {
            "created": "20170322105628418",
            "text": "! Buttons & sidebar tabs\n<$button>\n<$action-listops $tiddler=\"$:/plugins/tg/sro/publish-button\" $tags=\"-$:/tags/TopRightBar\"/>\n<$action-listops $tiddler=\"$:/plugins/tg/sro/readonly-styles\" $tags=\"$:/tags/Stylesheet\"/>\n<$action-listops $tiddler=\"$:/plugins/tg/sro/search\" $tags=\"$:/tags/SideBarSegment\"/>\nHide buttons & tabs</$button>\n\n<$button>\n<$action-listops $tiddler=\"$:/plugins/tg/sro/publish-button\" $tags=\"$:/tags/TopRightBar\"/>\n<$action-listops $tiddler=\"$:/plugins/tg/sro/readonly-styles\" $tags=\"-$:/tags/Stylesheet\"/>\n<$action-listops $tiddler=\"$:/plugins/tg/sro/search\" $tags=\"-$:/tags/SideBarSegment\"/>\nShow buttons & tabs</$button>\n\n<<<\n''Note:''<br><<slidertg \"Predefined buttons & sidebar tabs\" \"$:/plugins/tg/sro/predefined-buttons-tabs\">>\n<<<\n",
            "title": "$:/plugins/tg/sro/hide-buttons-tabs",
            "tags": "$:/tags/publish",
            "modified": "20200318114143257",
            "caption": "Buttons & sidebar tabs"
        },
        "$:/plugins/tg/sro/icon": {
            "created": "20170322105647495",
            "text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 100 100\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:svg=\"http://www.w3.org/2000/svg\">\n <g>\n  <g id=\"layer1\">\n   <path fill=\"#a0a0ff\" stroke=\"#a0a0ff\" stroke-width=\"1.2218\" stroke-miterlimit=\"4\" id=\"path4142\" d=\"m48.98237,97.8691l-41.98313,-24.239l0,-48.47796l41.98313,-24.23897l41.98313,24.23897l0,48.47796l-41.98313,24.239z\"/>\n   <g id=\"g4657\" transform=\"matrix(2.9000748,0,0,2.9000748,17.560041,968.58207) \">\n    <path fill=\"#000000\" stroke=\"null\" id=\"editor_pencil_pen_edit_write_glyph\" d=\"m2.40166,-313.82635l4.72483,4.70973l10.79962,-10.7651l-4.72483,-4.70973l-10.79962,10.7651zm13.51982,-13.47661l-1.99364,1.98727l4.72409,4.70899l1.99364,-1.98727c0.6766,-0.67444 -0.00001,-1.34889 -0.00001,-1.34889l-3.37088,-3.3601c0,0 -0.6766,-0.67444 -1.3532,0zm-14.18411,14.11637l-0.99229,5.72125l5.7273,-1.00138l-4.735,-4.71987l-0.00001,0z\"/>\n    <rect transform=\"matrix(0.69825835,0.71584585,-0.71584585,0.69825835,11.119094,-4.6050809) \" id=\"svg_1\" height=\"2.10315\" width=\"26.11743\" y=\"-219.65699\" x=\"-237.30928\" stroke-linecap=\"null\" stroke-linejoin=\"null\" stroke-width=\"null\"/>\n   </g>\n  </g>\n </g>\n</svg>",
            "type": "image/svg+xml",
            "title": "$:/plugins/tg/sro/icon",
            "tags": "",
            "modified": "20191230124255626"
        },
        "$:/plugins/tg/sro/image-save-button": {
            "created": "20170322105709315",
            "text": "<svg class=\"tgc-image-save-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n    <g fill-rule=\"evenodd\">\n        <path d=\"M120.78304,34.329058 C125.424287,43.1924006 128.049406,53.2778608 128.049406,63.9764502 C128.049406,99.3226742 99.3956295,127.97645 64.0494055,127.97645 C28.7031816,127.97645 0.0494055385,99.3226742 0.0494055385,63.9764502 C0.0494055385,28.6302262 28.7031816,-0.0235498012 64.0494055,-0.0235498012 C82.8568763,-0.0235498012 99.769563,8.08898558 111.479045,21.0056358 L114.159581,18.3250998 C117.289194,15.1954866 122.356036,15.1939641 125.480231,18.3181584 C128.598068,21.4359957 128.601317,26.5107804 125.473289,29.6388083 L120.78304,34.329058 Z M108.72451,46.3875877 C110.870571,51.8341374 112.049406,57.767628 112.049406,63.9764502 C112.049406,90.4861182 90.5590735,111.97645 64.0494055,111.97645 C37.5397375,111.97645 16.0494055,90.4861182 16.0494055,63.9764502 C16.0494055,37.4667822 37.5397375,15.9764502 64.0494055,15.9764502 C78.438886,15.9764502 91.3495036,22.308215 100.147097,32.3375836 L58.9411255,73.5435552 L41.975581,56.5780107 C38.8486152,53.4510448 33.7746915,53.4551552 30.6568542,56.5729924 C27.5326599,59.6971868 27.5372202,64.7670668 30.6618725,67.8917192 L53.279253,90.5090997 C54.8435723,92.073419 56.8951519,92.8541315 58.9380216,92.8558261 C60.987971,92.8559239 63.0389578,92.0731398 64.6049211,90.5071765 L108.72451,46.3875877 Z\"></path>\n    </g>\n</svg>",
            "title": "$:/plugins/tg/sro/image-save-button",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191230124312849",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/sro/images/publish": {
            "created": "20170322105731731",
            "text": "<svg class=\"tgc-publish-sro tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 486 438\">\n<style>\n  .sro {\n    fill:none;\n    stroke-width:40;\n    stroke:#FF0000;\n  }\n</style>\n    <path class=\"sro\" d=\"m203.2 81.6l-141.6 0 0 311.7 313.3 0 0-139.5\"/>\n    <path class=\"sro\" d=\"m176.4 279.6l0-60 188-188 60.5 60.5 -189.5 189.5 -59 0\"/>\n    <path class=\"sro\" d=\"m326.9 69l61.1 61.1\"/>\n</svg>",
            "title": "$:/plugins/tg/sro/images/publish",
            "tags": "",
            "modified": "20191230124356911"
        },
        "$:/plugins/tg/sro/license": {
            "created": "20180124175247498",
            "text": "[[Simple readonly plugin|http://tongerner.tiddlyspot.com/#Simple%20readonly%20plugin]] &copy; Ton Gerner &mdash; 2018-2020\n\nMIT License: https://opensource.org/licenses/MIT\n",
            "title": "$:/plugins/tg/sro/license",
            "tags": "",
            "modified": "20191230124416664"
        },
        "$:/plugins/tg/sro/predefined-buttons-tabs": {
            "created": "20170322105829625",
            "text": "@@.sliderBG\n<div>\n\n<hr>\n\n!!! &nbsp;&nbsp;&nbsp;&nbsp;Buttons\n# Page toolbar\n#* New button\n#* Control panel button\n#* Save button\n# View toolbar\n#* Edit button\n#* More button\n#* Info button\n# Edit toolbar\n#* Delete button\n#* Cancel button\n#* Done button\n# Top toolbar\n#* Sidebar button (to switch Sidebar) ^^''1''^^\n#* Publish button (opens menu for hiding/showing/saving tabs & buttons) ^^22^^\n# Search\n#* Advanced search button (next to Search) ^^''1''^^\n\n!!! &nbsp;&nbsp;Sidebar tabs\n* Open\n* Recent\n* Tools\n* More\n* ...\n\n&nbsp;&nbsp;^^''1''^^ ''Sidebar button and Advanced search button will be hidden, but they stay active!''<br>\n&nbsp;&nbsp;^^''2''^^ ''Publish button will be hidden as well (not active!)''.\n\n<hr>\n\n</div>\n@@\n",
            "title": "$:/plugins/tg/sro/predefined-buttons-tabs",
            "tags": "",
            "modified": "20191230124450908"
        },
        "$:/plugins/tg/sro/publish": {
            "created": "20170322105850884",
            "text": "!! Simple readonly plugin\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/publish]]\" \"$:/plugins/tg/sro/help\">>\n",
            "title": "$:/plugins/tg/sro/publish",
            "tags": "$:/tags/ControlPanel/Appearance",
            "modified": "20200318114229695",
            "caption": "Publish"
        },
        "$:/plugins/tg/sro/publish-button": {
            "text": "<$button class=\"tc-btn-invisible\" tooltip=\"Publish simple read-only\">\n<$action-sendmessage $message=\"tm-open-window\" $param=\"$:/plugins/tg/sro/publish\" height=\"700px\" width=\"500px\"/>\n{{$:/plugins/tg/sro/images/publish}}\n</$button>",
            "title": "$:/plugins/tg/sro/publish-button",
            "tags": "$:/tags/TopRightBar",
            "modified": "20191230125505138",
            "list-before": "$:/core/ui/TopBar/menu",
            "created": "20170322105910944"
        },
        "$:/plugins/tg/sro/readme": {
            "created": "20170322105934099",
            "text": "A plugin to make ~TiddlyWiki read-only.<br>\nYou can hide - by clicking one button - a set of <<slidertg \"predefined buttons & sidebar tabs\" \"$:/plugins/tg/sro/predefined-buttons-tabs\">> and save this situation.\n\nClick the Publish button <<icn $:/plugins/tg/sro/images/publish>> next to the sidebar button <<icn $:/core/images/chevron-left>>/<<icn $:/core/images/chevron-right>> to start making your TW 'publish-ready'.  A new window with four tabs opens.\n\n<<<\n''Note:''<br>@@.RED Although you can hide the 'Sidebar' and 'Advanced Search' button, they remain 'active'!@@\n<<<\n\nThere are a few ways to return from readonly to edit mode, see [[Help|$:/plugins/tg/sro/help]]. ",
            "title": "$:/plugins/tg/sro/readme",
            "tags": "",
            "modified": "20200323201842302",
            "caption": "Simple mode"
        },
        "$:/plugins/tg/sro/readonly-styles": {
            "text": "/* Readonly styles for buttons */\n\nsvg.tc-image-new-button,\nsvg.tc-image-options-button,\nsvg.tc-image-save-button,\nsvg.tc-image-edit-button,\nsvg.tc-image-delete-button,\nsvg.tc-image-cancel-button,\nsvg.tc-image-done-button,\nsvg.tc-image-down-arrow,\nsvg.tc-image-info-button,\nsvg.tc-image-chevron-right,\nsvg.tc-image-chevron-left,\nsvg.tgc-publish-sro {\n     display: none;\n}\n\n/* Hide advanced search button */\n\n.tc-image-advanced-search-button.tc-image-button {\n     padding-left: 15px;\n}\n\n.tc-sidebar-lists {\n     display: none;\n}\n",
            "type": "text/css",
            "title": "$:/plugins/tg/sro/readonly-styles",
            "tags": "",
            "modified": "20191230125505142",
            "list-after": "$:/themes/tiddlywiki/vanilla/base",
            "created": "20170322105952964"
        },
        "$:/plugins/tg/sro/save": {
            "created": "20170322110010997",
            "text": "! Save\n\n{{$:/core/ui/ControlPanel/Saving}}\n\n@@.BLUE ''Save''@@ {{$:/plugins/tg/sro/save-button}}\n",
            "title": "$:/plugins/tg/sro/save",
            "tags": "$:/tags/publish",
            "modified": "20200318114131041",
            "caption": "Save"
        },
        "$:/plugins/tg/sro/save-button": {
            "created": "20170405200808621",
            "text": "<$button message=\"tm-save-wiki\" param={{$:/config/SaveWikiButton/Template}}>\n<span class=\"tc-dirty-indicator\">\n{{$:/plugins/tg/sro/image-save-button}}\n</span>\n</$button>",
            "title": "$:/plugins/tg/sro/save-button",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191230124759843",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/sro/search": {
            "text": "<div class=\"tc-sidebar-lists_\">\n\n<$set name=\"searchTiddler\" value=\"$:/temp/search\">\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/search\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}} focusPopup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-popup-handle\"/>\n<$reveal state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n<$button tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" text={{$:/temp/search}}/>\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n{{$:/core/images/advanced-search-button}}\n</$button>\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\" />\n{{$:/core/images/close-button}}\n</$button>\n<$button popup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n<$list filter=\"[{$:/temp/search}minlength{$:/config/Search/MinLength}limit[1]]\" variable=\"listItem\">\n<$set name=\"searchTerm\" value={{{ [<searchTiddler>get[text]] }}}>\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[!is[system]search<searchTerm>]\"/>\"\"\">\n{{$:/language/Search/Matches}}\n</$set>\n</$set>\n</$list>\n</$button>\n</$reveal>\n<$reveal state=\"$:/temp/search\" type=\"match\" text=\"\">\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/advanced-search-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown-wrapper\" state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown tc-search-drop-down tc-popup-handle\" state=<<qualify \"$:/state/popup/search-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n\n<$list filter=\"[{$:/temp/search}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n{{$:/core/ui/SearchResults}}\n\n</$list>\n\n</$reveal>\n\n</$reveal>\n\n</$set>\n\n</div>\n\n\n\n",
            "title": "$:/plugins/tg/sro/search",
            "tags": "",
            "modified": "20191230125505143",
            "created": "20181221200154739"
        },
        "$:/plugins/tg/sro/sidebar-layout": {
            "created": "20170322110052858",
            "text": "\\define lingo-base() $:/language/ThemeTweaks/\n\nSidebar layout: <$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><option value=\"fixed-fluid\"><<lingo Options/SidebarLayout/Fixed-Fluid>></option><option value=\"fluid-fixed\"><<lingo Options/SidebarLayout/Fluid-Fixed>></option></$select>\n",
            "title": "$:/plugins/tg/sro/sidebar-layout",
            "tags": "",
            "modified": "20191230124849067"
        },
        "$:/plugins/tg/sro/slider-macro": {
            "created": "20170322110111515",
            "text": "\\define slidertg(label,text)\n<$button popup=\"$:/state/$label$\" class=\"tc-btn-invisible tgc-slider\"><$text text=\"$label$ »\"/></$button>\n<$reveal type=\"nomatch\" text=\"\" default=\"\" state=\"$:/state/$label$\" animate=\"yes\">\n\n{{$text$}}\n\n</$reveal>\n\\end",
            "title": "$:/plugins/tg/sro/slider-macro",
            "tags": "$:/tags/Macro",
            "modified": "20191230124912497"
        },
        "$:/plugins/tg/sro/styles": {
            "created": "20170322110126226",
            "text": "/* Slider style */\n\nhtml .tgc-slider {\n     color: #5778D8;\n     font-weight: bold;\n}\n\n.tgc-slider:hover {\n     color: #5778D8;\n     text-decoration: underline;\n}\n\n.sliderBG {\n     color: #000080;\n     background-color: #F7FAFF;\n}\n\n.RED {\n     color: red;\n     font-weight: bold;\n}\n\n.BLUE {\n     color: blue;\n     font-weight: bold;\n}",
            "type": "text/css",
            "title": "$:/plugins/tg/sro/styles",
            "tags": "$:/tags/Stylesheet",
            "modified": "20191230124931037"
        },
        "$:/plugins/tg/sro/macros/doc": {
            "text": "\\define icn(icon)\n<button class=\"tc-btn-invisible\"> {{$icon$}}</button>\n\\end",
            "title": "$:/plugins/tg/sro/macros/doc",
            "tags": "$:/tags/Macro",
            "modified": "20200316124655912",
            "created": "20200316124557084"
        },
        "$:/config/ShortcutInfo/publish": {
            "created": "20200318124157969",
            "text": "Open Publish window",
            "title": "$:/config/ShortcutInfo/publish",
            "tags": "",
            "modified": "20200318124228751"
        },
        "$:/config/shortcuts/publish": {
            "created": "20200318124115057",
            "text": "ctrl-shift-alt-P",
            "title": "$:/config/shortcuts/publish",
            "tags": "",
            "modified": "20200318124135106"
        },
        "$:/plugins/tg/sro/shortcut/publish": {
            "created": "20200323202318023",
            "text": "<$navigator story=\"$:/StoryList\">\n<$action-navigate $to=\"$:/plugins/tg/sro/publish\"/>\n</$navigator>",
            "title": "$:/plugins/tg/sro/shortcut/publish",
            "tags": "$:/tags/KeyboardShortcut",
            "modified": "20200323202630736",
            "key": "((publish))"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/tg/tabstory/button": {
            "created": "20150625135856196",
            "text": "<$fieldmangler tiddler=\"$:/plugins/tg/tabstory/storylist\">\n<$list filter=\"[[$:/plugins/tg/tabstory/storylist]tag[$:/tags/AboveStory]]\">\n<$button message=\"tm-remove-tag\" tooltip=\"Hide tab story\" param=\"$:/tags/AboveStory\" class=<<tv-config-toolbar-class>>>\n<span class=\"tgc-active-indicator\">\n{{$:/plugins/tg/tabstory/image-tabstory-on}}\n</span>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tgc-active-indicator\">\n<$text text=\"tab story\"/>\n</span>\n</$list>\n</$button>\n</$list>\n<$list filter=\"[[$:/plugins/tg/tabstory/storylist]!tag[$:/tags/AboveStory]]\">\n<$button message=\"tm-add-tag\" tooltip=\"Show tabstory\" param=\"$:/tags/AboveStory\" class=<<tv-config-toolbar-class>>>\n{{$:/plugins/tg/tabstory/image-tabstory-off}}\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<$text text=\"tab story\"/>\n</$list>\n</$button>\n</$list>\n</$fieldmangler>\n",
            "title": "$:/plugins/tg/tabstory/button",
            "tags": "$:/tags/PageControls",
            "modifier": "TonGerner",
            "modified": "20200323104032262",
            "description": "Toggle tab story on/off",
            "creator": "TonGerner",
            "caption": "{{$:/plugins/tg/tabstory/image-tabstory-on}} tab story"
        },
        "$:/plugins/tg/tabstory/icon": {
            "created": "20160109171340224",
            "creator": "TonGerner",
            "text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 100 100\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:svg=\"http://www.w3.org/2000/svg\">\n   <path fill=\"#a0a0ff\" stroke=\"#a0a0ff\" stroke-width=\"1.2218\" stroke-miterlimit=\"4\" id=\"path4142\" d=\"m48.98237,97.8691l-41.98313,-24.239l0,-48.47796l41.98313,-24.23897l41.98313,24.23897l0,48.47796l-41.98313,24.239z\"/>\n   <text font-style=\"normal\" font-weight=\"normal\" font-size=\"18.75px\" font-family=\"sans-serif\" fill=\"#000000\" stroke-width=\"1px\" xml:space=\"preserve\" x=\"13.39286\" y=\"54.7484\" id=\"text4443\">\n    <tspan id=\"tspan4445\" x=\"13.39286\" y=\"54.7484\">A&gt;B&gt;C</tspan>\n   </text>\n   <rect fill=\"none\" stroke=\"#000000\" stroke-miterlimit=\"4\" id=\"rect4485\" width=\"79.82143\" height=\"22.67857\" x=\"9.10714\" y=\"37.0697\" ry=\"11.33929\"/>\n</svg>",
            "type": "image/svg+xml",
            "title": "$:/plugins/tg/tabstory/icon",
            "modifier": "TonGerner",
            "modified": "20191229181313572"
        },
        "$:/plugins/tg/tabstory/image-tabstory-off": {
            "created": "20150625140236851",
            "creator": "TonGerner",
            "text": "<svg class=\"tgc-image-tabstory-off tc-image-button\" viewBox=\"0 0 22 22\" width=\"22pt\" height=\"22pt\" xmlns=\"http://www.w3.org/2000/svg\" stroke=\"null\" style=\"vector-effect: non-scaling-stroke;\" preserveAspectRatio=\"xMidYMid meet\">\n <metadata stroke=\"null\" style=\"vector-effect: non-scaling-stroke;\">Created by potrace 1.12, written by Peter Selinger 2001-2015</metadata>\n <g stroke=\"null\">\n  <g id=\"svg_1\" transform=\"translate(0,512) scale(0.10000000149011612,-0.10000000149011612) \">\n   <path stroke=\"null\" id=\"svg_2\" d=\"m97.55363,5077.93945c-31.1168,-3.17676 -56.89805,-13.27539 -80.67315,-31.51221c-12.93331,-9.96777 -16.00658,-14.32031 -16.00658,-22.63379c0,-9.35742 6.35994,-16.80078 15.66511,-18.32422c2.51835,-0.43506 3.54279,-0.3916 6.06114,0.17432c1.66469,0.3916 3.84158,1.13184 4.82334,1.61035c2.17689,1.08838 2.04884,1.08838 2.04884,-0.17432c0,-1.47998 2.26226,-9.96729 3.75621,-13.97119c9.51857,-25.72363 30.68995,-45.0498 56.64195,-51.75244c7.00023,-1.78467 12.50647,-2.48096 20.275,-2.48096c7.76849,0 13.27477,0.69629 20.27501,2.48096c25.95197,6.70264 47.12337,26.02881 56.64191,51.75244c1.49396,4.00391 3.75624,12.49121 3.75624,13.97119c0,1.08838 0.38412,1.30566 1.10977,0.65332c0.64026,-0.60938 4.95137,-2.08936 7.04289,-2.39404c4.86601,-0.74023 11.52473,1.61035 15.0675,5.2666c3.75624,3.87354 5.37825,7.83447 5.37825,13.23145c0,8.31396 -3.03062,12.62256 -16.00658,22.59033c-21.68359,16.67041 -46.0136,26.85498 -73.41684,30.729c-4.86602,0.69678 -27.91545,1.21875 -32.44,0.7832zm-32.43999,-47.26855c-0.12805,-0.56592 -0.38418,-3.35156 -0.51222,-6.26758c-0.59759,-13.40625 3.92696,-25.24512 13.27481,-34.8208c8.8356,-8.9668 19.89083,-13.66699 32.26925,-13.66699c12.37842,0 23.43364,4.7002 32.26926,13.66699c5.33551,5.44043 8.83563,11.18604 11.18324,18.36816c1.9635,5.96289 2.81718,15.62549 1.79276,21.06592c-0.25609,1.26221 -0.34148,2.39404 -0.25609,2.48096c0.46951,0.479 15.53703,-7.48633 17.67125,-9.31445c0.85367,-0.73975 0.89638,-1.00049 0.51221,-5.13574c-2.00616,-22.85107 -15.06754,-42.30713 -35.21448,-52.53564c-20.14694,-10.27197 -43.96472,-8.66162 -63.17262,4.22217c-13.36016,9.00977 -23.68974,24.50488 -26.84838,40.26074c-0.59756,3.13428 -0.81098,4.52734 -1.3232,10.1416l-0.21342,2.48145l2.433,1.60986c2.6891,1.7417 15.36631,8.40137 16.04926,8.40137c0.21342,0 0.25609,-0.43604 0.08537,-0.95801z\"/>\n  </g>\n  <path stroke=\"null\" id=\"svg_4\" d=\"m0.0437,20.05967c19.72296,-20.00376 19.75732,-20.00376 19.72777,-20.03055c-0.02955,-0.0268 2.26298,2.08326 2.23343,2.05646c-0.02955,-0.0268 -19.89958,19.75013 -19.92913,19.72333\" stroke-width=\"5\" />\n </g>\n</svg>",
            "title": "$:/plugins/tg/tabstory/image-tabstory-off",
            "tags": "$:/tags/Image",
            "modifier": "TonGerner",
            "modified": "20191229181335184"
        },
        "$:/plugins/tg/tabstory/image-tabstory-on": {
            "created": "20150808124502963",
            "creator": "TonGerner",
            "text": "<svg class=\"tgc-image-tabstory-on tc-image-button\" viewBox=\"0 0 22 22\" width=\"22pt\" height=\"22pt\" xmlns=\"http://www.w3.org/2000/svg\" stroke=\"null\" style=\"vector-effect: non-scaling-stroke;\" preserveAspectRatio=\"xMidYMid meet\">\n <metadata stroke=\"null\" style=\"vector-effect: non-scaling-stroke;\">Created by potrace 1.12, written by Peter Selinger 2001-2015</metadata>\n <g stroke=\"null\">\n  <g id=\"svg_1\" transform=\"translate(0,512) scale(0.10000000149011612,-0.10000000149011612) \">\n   <path stroke=\"null\" id=\"svg_2\" d=\"m97.55363,5077.93945c-31.1168,-3.17676 -56.89805,-13.27539 -80.67315,-31.51221c-12.93331,-9.96777 -16.00658,-14.32031 -16.00658,-22.63379c0,-9.35742 6.35994,-16.80078 15.66511,-18.32422c2.51835,-0.43506 3.54279,-0.3916 6.06114,0.17432c1.66469,0.3916 3.84158,1.13184 4.82334,1.61035c2.17689,1.08838 2.04884,1.08838 2.04884,-0.17432c0,-1.47998 2.26226,-9.96729 3.75621,-13.97119c9.51857,-25.72363 30.68995,-45.0498 56.64195,-51.75244c7.00023,-1.78467 12.50647,-2.48096 20.275,-2.48096c7.76849,0 13.27477,0.69629 20.27501,2.48096c25.95197,6.70264 47.12337,26.02881 56.64191,51.75244c1.49396,4.00391 3.75624,12.49121 3.75624,13.97119c0,1.08838 0.38412,1.30566 1.10977,0.65332c0.64026,-0.60938 4.95137,-2.08936 7.04289,-2.39404c4.86601,-0.74023 11.52473,1.61035 15.0675,5.2666c3.75624,3.87354 5.37825,7.83447 5.37825,13.23145c0,8.31396 -3.03062,12.62256 -16.00658,22.59033c-21.68359,16.67041 -46.0136,26.85498 -73.41684,30.729c-4.86602,0.69678 -27.91545,1.21875 -32.44,0.7832zm-32.43999,-47.26855c-0.12805,-0.56592 -0.38418,-3.35156 -0.51222,-6.26758c-0.59759,-13.40625 3.92696,-25.24512 13.27481,-34.8208c8.8356,-8.9668 19.89083,-13.66699 32.26925,-13.66699c12.37842,0 23.43364,4.7002 32.26926,13.66699c5.33551,5.44043 8.83563,11.18604 11.18324,18.36816c1.9635,5.96289 2.81718,15.62549 1.79276,21.06592c-0.25609,1.26221 -0.34148,2.39404 -0.25609,2.48096c0.46951,0.479 15.53703,-7.48633 17.67125,-9.31445c0.85367,-0.73975 0.89638,-1.00049 0.51221,-5.13574c-2.00616,-22.85107 -15.06754,-42.30713 -35.21448,-52.53564c-20.14694,-10.27197 -43.96472,-8.66162 -63.17262,4.22217c-13.36016,9.00977 -23.68974,24.50488 -26.84838,40.26074c-0.59756,3.13428 -0.81098,4.52734 -1.3232,10.1416l-0.21342,2.48145l2.433,1.60986c2.6891,1.7417 15.36631,8.40137 16.04926,8.40137c0.21342,0 0.25609,-0.43604 0.08537,-0.95801z\"/>\n  </g>\n </g>\n</svg>",
            "title": "$:/plugins/tg/tabstory/image-tabstory-on",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191229181350096"
        },
        "$:/plugins/tg/tabstory/license": {
            "created": "20180124181152090",
            "creator": "TonGerner",
            "text": "[[Tabstory plugin|http://tongerner.tiddlyspot.com/#Tabstory%20plugin]] &copy; Ton Gerner &mdash; 2018-2020\n\nMIT License: https://opensource.org/licenses/MIT\n",
            "title": "$:/plugins/tg/tabstory/license",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191229181419992"
        },
        "$:/plugins/tg/tabstory/readme": {
            "created": "20150803183926248",
            "creator": "TonGerner",
            "text": "Alternative to my [[Tiddlersbar (breadcrumbs) plugin|http://tongerner.tiddlyspot.com/]], based on the work of [[Rich Rath (rcrath)|https://github.com/rcrath/TW5-TabStory/issues]].<br>\nHere the breadcrumbs are on top of the story-river. It works best in Zoomin view.\n\n<<<\n''Note:''<br>''This plugin needs my $:/plugins/tg/layout plugin for general layout settings (available at http://tongerner.tiddlyspot.com/).''\n<<<\n\nSettings for the layout can be found in ''~ControlPanel > Appearance > [[Plugin tweaks|$:/plugins/tg/layout/tweaks]]''.\n",
            "title": "$:/plugins/tg/tabstory/readme",
            "modifier": "TonGerner",
            "modified": "20191229181525699"
        },
        "$:/plugins/tg/tabstory/settings": {
            "text": "!!~TabStory settings\n@@.brown ''Toggle tabstory in ~PageControls''@@<br>\n<$checkbox tiddler=\"$:/plugins/tg/tabstory/button\" tag=\"$:/tags/PageControls\"> Button active</$checkbox>\n\n@@.brown ''Toggle tabstory in ~ViewToolbar ''@@<br>\n<$checkbox tiddler=\"$:/plugins/tg/tabstory/button\" tag=\"$:/tags/ViewToolbar\"> Button active</$checkbox>\n\n<table class=\"tablestyle\">\n<<tableRow \"Background color 'tabs'\" \"$:/plugins/tg/tabstory/styles\" \"tabs-background-color\">>\n<<tableRow \"Hover background color 'tabs'\" \"$:/plugins/tg/tabstory/styles\" \"tabs-hover-background-color\">>\n<<tableRow \"Font size 'tabs'\" \"$:/plugins/tg/tabstory/styles\" \"tabs-font-size\">>\n<<tableRow \"Text color 'tabs'\" \"$:/plugins/tg/tabstory/styles\" \"tabs-text-color\">>\n<<tableRow \"Hover text color 'tabs'\" \"$:/plugins/tg/tabstory/styles\" \"tabs-hover-text-color\">>\n<<tableRow \"Text color 'x'\" \"$:/plugins/tg/tabstory/styles\" \"x-text-color\">>\n<<tableRow \"Hover text color 'x'\" \"$:/plugins/tg/tabstory/styles\" \"x-hover-text-color\">>\n<<tableRow \"Rounded corners 'tabs'\" \"$:/plugins/tg/tabstory/styles\" \"tabs-border-radius\">>\n</table>\n<$button message=\"tm-open-window\" param=\"$:/plugins/tg/tabstory/settings-help\" tooltip=\"Help\" aria-label=\"Help\">Help</$button>\n",
            "title": "$:/plugins/tg/tabstory/settings",
            "tags": "$:/tags/plugin-tweaks",
            "order": "8",
            "modifier": "TonGerner",
            "modified": "20191229190444248",
            "creator": "TonGerner",
            "created": "20160111172043170",
            "caption": "Tabstory"
        },
        "$:/plugins/tg/tabstory/settings-help": {
            "text": "|Entry |Description |Default |h\n|Toggle tabstory in ~PageControls|Toggle tabstory button in ~PageControls| <input type=\"checkbox\" checked /> |\n|Toggle tabstory in ~ViewToolbar|Toggle tabstory button in ~ViewToolbar| <input type=\"checkbox\"  /> |\n|Background color 'tabs' |Background color of tabs |#E0E0E0 |\n|Hover background color 'tabs' |Background hover color of tabs |#666666 |\n|Font size 'tabs' |Font size of text on tabs | 0.9em |\n|Text color 'tabs' |Text color of tabs |#888888 |\n|Hover text color 'tabs' |Hover text color of tabs |#FFFFFF |\n|Text color '''&times;''' |Text color of '''&times;''' |#CCCCCC |\n|Hover text color '''&times;''' |Hover text color of '''&times;''' |#000000 |\n|Rounded corners 'Breadcrumbs' |Rounded upper corners of breadcrumbs | 3px |",
            "title": "$:/plugins/tg/tabstory/settings-help",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191229190917934",
            "creator": "TonGerner",
            "created": "20150804093256942"
        },
        "$:/plugins/tg/tabstory/styles": {
            "text": "<pre>/* STYLES STORYTABS */\n.tc-story-tabs a {\n     white-space: nowrap;\n     display: inline-block;\n}\n\n.story-backdrop a {\n     font-size: {{!!tabs-font-size}};\n     background-color: {{!!tabs-background-color}};\n     padding: 0px 3px;\n     border-left: 1px solid #CCC;\n     border-top: 1px solid #CCC;\n     border-right: 1px solid #CCC;\n     border-bottom: 1px solid #CCC;\n     border-top-left-radius: {{!!tabs-border-radius}};\n     border-top-right-radius: {{!!tabs-border-radius}};\n}\n\n.story-backdrop a:focus {\n     background-color: #F4F4F4;\n     border-bottom: 1px solid #F4F4F4;\n}\n\n.story-backdrop a:hover {\n     color: {{!!tabs-hover-text-color}};\n     background-color: {{!!tabs-hover-background-color}};\n}\n\n.story-backdrop {\n     padding-bottom: 4px;\n     background-color: #FFFFFF\n}\n\na.tc-tiddlylink {\n     color: {{!!tabs-text-color}};\n}\n\nhtml .tc-x {\n     font-size: {{!!tabs-font-size}};\n     color: {{!!x-text-color}};\n     margin-left: 4px;\n     margin-right: 10px;\n}\n\n.tc-x:hover {\n     color: {{!!x-hover-text-color}};\n     font-weight: bold;\n}\n</pre>\n",
            "x-text-color": "#CCCCCC",
            "x-hover-text-color": "#000000",
            "title": "$:/plugins/tg/tabstory/styles",
            "tags": "$:/tags/Stylesheet",
            "tabs-text-color": "#888888",
            "tabs-hover-text-color": "#FFFFFF",
            "tabs-hover-background-color": "#666666",
            "tabs-font-size": "0.9em",
            "tabs-border-radius": "3px",
            "tabs-background-color": "#E0E0E0",
            "modified": "20191229190103896",
            "created": "20191229182635413"
        },
        "$:/plugins/tg/tabstory/storylist": {
            "text": "<div class=\"tc-story-tabs\"><$list filter=\"[list[$:/StoryList]]\"><$link to={{!!title}}><$view field=\"title\"/></$link><$button message=\"tm-close-tiddler\" class=\"tc-btn-invisible tc-x\">&times;</$button></$list><div class=\"tc-tab-divider\"/></div>",
            "title": "$:/plugins/tg/tabstory/storylist",
            "modifier": "TonGerner",
            "modified": "20200323104036934",
            "created": "20191229183003085",
            "tags": "$:/tags/AboveStory"
        }
    }
}

<$fieldmangler tiddler="$:/plugins/tg/tabstory/storylist">
<$list filter="[[$:/plugins/tg/tabstory/storylist]tag[$:/tags/AboveStory]]">
<$button message="tm-remove-tag" tooltip="Hide tab story" param="$:/tags/AboveStory" class=<<tv-config-toolbar-class>>>
<span class="tgc-active-indicator">
{{$:/plugins/tg/tabstory/image-tabstory-on}}
</span>
<$list filter="[<tv-config-toolbar-text>prefix[yes]]">
<span class="tgc-active-indicator">
<$text text="tab story"/>
</span>
</$list>
</$button>
</$list>
<$list filter="[[$:/plugins/tg/tabstory/storylist]!tag[$:/tags/AboveStory]]">
<$button message="tm-add-tag" tooltip="Show tabstory" param="$:/tags/AboveStory" class=<<tv-config-toolbar-class>>>
{{$:/plugins/tg/tabstory/image-tabstory-off}}
<$list filter="[<tv-config-toolbar-text>prefix[yes]]">
<$text text="tab story"/>
</$list>
</$button>
</$list>
</$fieldmangler>

<div class="tc-story-tabs"><$list filter="[list[$:/StoryList]]"><$link to={{!!title}}><$view field="title"/></$link><$button message="tm-close-tiddler" class="tc-btn-invisible tc-x">&times;</$button></$list><div class="tc-tab-divider"/></div>

{
    "tiddlers": {
        "$:/plugins/tg/tiddlersbar/button": {
            "created": "20170325114731405",
            "text": "<$fieldmangler tiddler=\"$:/plugins/tg/tiddlersbar/styles\">\n<$list filter=\"[[$:/plugins/tg/tiddlersbar/styles]tag[$:/tags/Stylesheet]]\"><$button message=\"tm-remove-tag\" tooltip=\"Hide Tiddlersbar\" param=\"$:/tags/Stylesheet\" class=<<tv-config-toolbar-class>>>\n<span class=\"tgc-active-indicator\">\n{{$:/plugins/tg/tiddlersbar/image-tiddlersbar-on}}\n</span>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tgc-active-indicator\">\n<$text text=\"tiddlersbar\"/>\n</span>\n</$list>\n</$button>\n</$list>\n<$list filter=\"[[$:/plugins/tg/tiddlersbar/styles]!tag[$:/tags/Stylesheet]]\">\n<$button message=\"tm-add-tag\" tooltip=\"Show tiddlersbar\" param=\"$:/tags/Stylesheet\" class=<<tv-config-toolbar-class>>>{{$:/plugins/tg/tiddlersbar/image-tiddlersbar-off}}\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<$text text=\"tiddlersbar\"/>\n</$list>\n</$button>\n</$list>\n</$fieldmangler>\n",
            "title": "$:/plugins/tg/tiddlersbar/button",
            "tags": "$:/tags/PageControls",
            "modifier": "TonGerner",
            "modified": "20200323103546936",
            "description": "Toggle tiddlersbar on/off",
            "creator": "TonGerner",
            "caption": "{{$:/plugins/tg/tiddlersbar/image-tiddlersbar-on}} tiddlersbar"
        },
        "$:/plugins/tg/tiddlersbar/icon": {
            "text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 100 100\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:svg=\"http://www.w3.org/2000/svg\">\n  <path fill=\"#a0a0ff\" stroke=\"#a0a0ff\" stroke-width=\"1.2218\" stroke-miterlimit=\"4\" d=\"m48.98237,97.86909l-41.98313,-24.239l0,-48.47796l41.98313,-24.23897l41.98313,24.23897l0,48.47796l-41.98313,24.239z\" id=\"path4142\"/>\n  <rect fill=\"#000000\" stroke=\"#000000\" stroke-width=\"8.78819\" stroke-miterlimit=\"4\" stroke-opacity=\"0\" y=\"25.08274\" x=\"8.68744\" height=\"9.10985\" width=\"16.25652\" id=\"rect4807\"/>\n  <rect fill=\"#000000\" stroke=\"#000000\" stroke-width=\"8.78819\" stroke-miterlimit=\"4\" stroke-opacity=\"0\" id=\"rect4809\" width=\"16.25652\" height=\"9.10985\" x=\"54.08981\" y=\"25.08274\"/>\n  <rect fill=\"#000000\" stroke=\"#000000\" stroke-width=\"8.78819\" stroke-miterlimit=\"4\" stroke-opacity=\"0\" y=\"25.08274\" x=\"31.38863\" height=\"9.10985\" width=\"16.25652\" id=\"rect4820\"/>\n</svg>",
            "type": "image/svg+xml",
            "title": "$:/plugins/tg/tiddlersbar/icon",
            "tags": "",
            "modified": "20191228200121464",
            "created": "20170325114817530"
        },
        "$:/plugins/tg/tiddlersbar/image-tiddlersbar-off": {
            "text": "<svg class=\"tgc-image-tiddlersbar-off tc-image-button\" viewBox=\"0 0 22 22\" width=\"22pt\" height=\"22pt\"><path d=\"m7.3572,12.30506c-0.13915,-0.39832 -0.23057,-0.82001 -0.23057,-1.26429c0,-2.13671 1.74588,-3.87591 3.889,-3.87591c0.44658,0 0.8689,0.09111 1.26856,0.2298l1.84701,-1.84079c-1.05983,-0.44185 -2.12289,-0.73293 -3.11557,-0.73293c-6.10492,0 -10.92187,6.21983 -10.92187,6.21983s1.75316,2.2504 4.47392,4.04523l2.78953,-2.78094zm9.7407,-5.14664l-2.47239,2.46407c0.17556,0.44024 0.27911,0.91757 0.27911,1.4191c0,2.1351 -1.74588,3.87591 -3.889,3.87591c-0.50321,0 -0.98135,-0.10321 -1.42389,-0.27818l-1.99749,1.99157c1.07358,0.38622 2.22078,0.63134 3.42138,0.63134c4.6689,0 10.92188,-6.22064 10.92188,-6.22064s-2.13664,-2.11816 -4.8396,-3.88316zm1.63747,-5.05392l-16.73636,16.68002l1.14477,1.14173l16.73555,-16.68083l-1.14396,-1.14092z\"/></svg>",
            "title": "$:/plugins/tg/tiddlersbar/image-tiddlersbar-off",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191228200145294",
            "creator": "TonGerner",
            "created": "20170325114839090"
        },
        "$:/plugins/tg/tiddlersbar/image-tiddlersbar-on": {
            "text": "<svg class=\"tgc-image-tiddlersbar-on tc-image-button\" viewBox=\"0 0 22 22\" width=\"22pt\" height=\"22pt\">\n<path  d=\"m10.98438,4.786c-6.10492,0 -10.92187,6.2141 -10.92187,6.2141s4.81695,6.2149 10.92187,6.2149c4.6689,0 10.92188,-6.2149 10.92188,-6.2149s-6.25298,-6.2141 -10.92188,-6.2141zm0,10.08643c-2.14311,0 -3.889,-1.73759 -3.889,-3.87233s1.74588,-3.87233 3.889,-3.87233s3.889,1.7384 3.889,3.87233s-1.74588,3.87233 -3.889,3.87233zm0,-6.13273c-1.25318,0 -2.27013,1.01178 -2.27013,2.2604c0,1.24862 1.01614,2.2604 2.27013,2.2604c1.25399,0 2.27013,-1.01179 2.27013,-2.2604c0,-1.24781 -1.01614,-2.2604 -2.27013,-2.2604z\"/>\n</svg>",
            "title": "$:/plugins/tg/tiddlersbar/image-tiddlersbar-on",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191228200159990",
            "creator": "TonGerner",
            "created": "20170325114911997"
        },
        "$:/plugins/tg/tiddlersbar/license": {
            "text": "!!! Buggy j's ~StoryTopTabs plugin\n\nMIT License\n\nCopyright &copy; Jeffrey Wikinson aka Buggyj &mdash; 2015\n\n<hr>\n\n[[Tiddlersbar plugin|http://tongerner.tiddlyspot.com/#Tiddlersbar%20plugin]] &copy; Ton Gerner &mdash; 2018-2020\n\nMIT License: https://opensource.org/licenses/MIT\n",
            "title": "$:/plugins/tg/tiddlersbar/license",
            "tags": "",
            "modified": "20191228200225470",
            "created": "20180124182128080"
        },
        "$:/plugins/tg/tiddlersbar/readme": {
            "text": "This plugin - based on Buggy j's [[StoryTopTabs plugin|http://bjtools.tiddlyspot.com/#StoryTopTabs]] - creates a 'Tiddlersbar' of open tiddlers (as tabs) on top of the screen. It works best in Zoomin view.<br>\nThe Tiddlersbar can be toggled on/off (<<icn $:/plugins/tg/tiddlersbar/image-tiddlersbar-on>>/<<icn $:/plugins/tg/tiddlersbar/image-tiddlersbar-off>>) with a button in the Page toolbar and/or the View toolbar.\n\n<<<\n''Note:''<br>''This plugin needs my $:/plugins/tg/layout plugin for general layout settings (available at http://tongerner.tiddlyspot.com/).''\n<<<\n\nSettings for the layout can be found in ''~ControlPanel > Appearance > [[Plugin tweaks|$:/plugins/tg/layout/tweaks]]''.\n",
            "title": "$:/plugins/tg/tiddlersbar/readme",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20200315132513150",
            "creator": "TonGerner",
            "created": "20170325115014248"
        },
        "$:/plugins/tg/tiddlersbar/settings": {
            "created": "20170325115624509",
            "text": "!!Tiddlersbar settings\n@@.brown ''Toggle tiddlersbar in ~PageControls''@@<br>\n<$checkbox tiddler=\"$:/plugins/tg/tiddlersbar/button\" tag=\"$:/tags/PageControls\"> Button active</$checkbox>\n\n@@.brown ''Toggle tiddlersbar in ~ViewToolbar ''@@<br>\n<$checkbox tiddler=\"$:/plugins/tg/tiddlersbar/button\" tag=\"$:/tags/ViewToolbar\"> Button active</$checkbox>\n\n<table class=\"tablestyle\">\n<<tableRow \"Left 'Tiddlersbar'\" \"$:/plugins/tg/tiddlersbar/styles\" \"left-tiddlersbar\">>\n<<tableRow \"Top 'Tiddlersbar'\" \"$:/plugins/tg/tiddlersbar/styles\" \"top-tiddlersbar\">>\n<<tableRow \"Font size 'Tiddlersbar'\" \"$:/plugins/tg/tiddlersbar/styles\" \"tiddlersbar-font-size\">>\n<<tableRow \"Background color 'Tiddler tabs'\" \"$:/plugins/tg/tiddlersbar/styles\" \"tiddlersbar-color\">>\n<<tableRow \"Text color 'Tiddler tabs'\" \"$:/plugins/tg/tiddlersbar/styles\" \"tiddlersbar-text-color\">>\n<<tableRow \"Background color 'Tiddler tab selected'\" \"$:/plugins/tg/tiddlersbar/styles\" \"tiddlersbar-selected-color\">>\n<<tableRow \"Text color 'Tiddler tab selected'\" \"$:/plugins/tg/tiddlersbar/styles\" \"tiddlersbar-selected-text-color\">>\n<<tableRow \"Rounded corners 'tiddler tabs'\" \"$:/plugins/tg/tiddlersbar/styles\" \"tiddlersbar-border-radius\">>\n</table>\n<$button tooltip=\"Help\">\n<$action-sendmessage $message=\"tm-open-window\" $param=\"$:/plugins/tg/tiddlersbar/settings-help\" height=\"380px\" width=\"700px\"/>Help</$button>\n",
            "title": "$:/plugins/tg/tiddlersbar/settings",
            "tags": "$:/tags/plugin-tweaks",
            "order": "7",
            "modifier": "TonGerner",
            "modified": "20191228205719769",
            "list-after": "$:/plugins/tg/layout",
            "creator": "TonGerner",
            "caption": "Tiddlersbar"
        },
        "$:/plugins/tg/tiddlersbar/settings-help": {
            "text": "|Item |Description |Default |h\n|Toggle tiddlersbar in ~PageControls |'Toggle tiddlersbar' button in ~PageControls| <input type=\"checkbox\" checked /> |\n|Toggle tiddlersbar in ~ViewToolbar |'Toggle tiddlersbar' button in ~ViewToolbar| <input type=\"checkbox\" /> |\n|Left 'Tiddlersbar'  |Start (from the left) of the Tiddlersbar| 42px |\n|Top 'Tiddlersbar' |Start (from the top) of the Tiddlersbar| 10px |\n|Font size 'Tiddlersbar' |Font size of Tiddlersbar | 0.9em |\n|Background color 'Tiddler tabs' |Background color of breadcrumbs | `<<colour tab-background>>` |\n|Text color 'Tiddler tabs' |Text color of tiddler tabs | `<<colour tab-foreground>>` |\n|Background color 'Tiddler tab selected' |Background color of selected tiddler tab| `<<colour tab-background-selected>>` |\n|Text color 'Tiddler tab selected' |Text color of selected tiddler tab | `<<colour tab-foreground-selected>>` |\n|Rounded corners 'tiddler tabs' |Rounded corners of tiddlersbar | 1px |\n",
            "title": "$:/plugins/tg/tiddlersbar/settings-help",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191230170358959",
            "creator": "TonGerner",
            "created": "20170325115648290"
        },
        "$:/plugins/tg/tiddlersbar/style-no-tiddlersbar": {
            "text": "/* DEFAULT: HIDDEN TIDDLERSBAR */\n.tgc-tiddlersbar {\n     display: none;\n}",
            "type": "text/css",
            "title": "$:/plugins/tg/tiddlersbar/style-no-tiddlersbar",
            "tags": "$:/tags/Stylesheet",
            "modifier": "TonGerner",
            "modified": "20191228200615839",
            "creator": "TonGerner",
            "created": "20170325115709994"
        },
        "$:/plugins/tg/tiddlersbar/styles": {
            "text": "<pre>/* BREADCRUMBS TOP MENU */\n.tgc-tiddlersbar {\n     display: block;\n     position: fixed;\n     left: 0;\n     top: {{!!top-tiddlersbar}};  /* vertical start of tiddlersbar 'menu' */\n     width: calc(100% - 60px); /* right margin for '>>' icon */\n     margin-left: {{!!left-tiddlersbar}};\n     z-index: 900;\n}\n\n/* TIDDLERSBAR */\n.tgc-tiddlersbar button {\n     font-size: {{!!tiddlersbar-font-size}};\n     color: {{!!tiddlersbar-text-color}};\n     padding: 3px 5px 3px 5px;\n     border: none;\n     border-radius: {{!!tiddlersbar-border-radius}};\n     background: none;\n     background-color: {{!!tiddlersbar-color}};\n     border-left: 1px solid #cccccc;\n     border-top: 1px solid #cccccc;\n     border-right: 1px solid #cccccc;\n}\n\n/* TIDDLERBAR SELECTED */\n.tgc-tiddlersbar button.tgc-tiddlersbar-selected {\n     color: {{!!tiddlersbar-selected-text-color}};\n     background: none;\n     background-color: {{!!tiddlersbar-selected-color}};\n}\n/* HOVER over 'x' */\n.tgc-tiddlersbar button.tgc-x:hover {\n     font-weight: bold;\n}\n.tgc-tiddlersbar button.tgc-tiddlersbar-selected.tgc-x:hover {\n     font-weight: bold;\n}\n</pre>",
            "top-tiddlersbar": "10px",
            "title": "$:/plugins/tg/tiddlersbar/styles",
            "tiddlersbar-text-color": "<<colour tab-foreground>>",
            "tiddlersbar-selected-text-color": "<<colour tab-foreground-selected>>",
            "tiddlersbar-selected-color": "<<colour tab-background-selected>>",
            "tiddlersbar-font-size": "0.9em",
            "tiddlersbar-color": "<<colour tab-background>>",
            "tiddlersbar-border-radius": "1px",
            "tags": "$:/tags/Stylesheet",
            "modifier": "TonGerner",
            "modified": "20191228200650043",
            "list-after": "$:/plugins/tg/tiddlersbar/style-no-tiddlersbar",
            "left-tiddlersbar": "42px",
            "creator": "TonGerner",
            "created": "20170325123352694"
        },
        "$:/plugins/tg/tiddlersbar/tiddlersbar": {
            "text": "<div class=\"tgc-tiddlersbar\" >\n<$list filter=\"[list[$:/StoryList]]\" history=\"$:/HistoryList\" variable=\"currentTab\">\n<$reveal type=\"match\" state=\"$:/HistoryList!!current-tiddler\" text=<<currentTab>>>\n<div style=\"display:inline-block;\">\n<$button to=<<currentTab>> class=\"tgc-tiddlersbar-selected\" style=\"margin-right: -0.4em; border-right: 0.0em\">\n<$macrocall $name=\"currentTab\" $type=\"text/plain\" $output=\"text/plain\"/>\n</$button>\n<$button message=\"tm-close-tiddler\" param=<<currentTab>> class=\"tgc-tiddlersbar-selected tgc-x\" style=\"border-left: 0.0em;\">X</$button></div></$reveal>\n<$reveal type=\"nomatch\" state=\"$:/HistoryList!!current-tiddler\" text=<<currentTab>>>\n<div style=\"display:inline-block;\">\n<$button to=<<currentTab>>  style=\"margin-right: 0.0em;\" >\n<$macrocall $name=\"currentTab\" $type=\"text/plain\" $output=\"text/plain\"/>\n</$button><$button message=\"tm-close-tiddler\" param=<<currentTab>> class=\"tgc-x\">\nX</$button></div></$reveal>\n</$list>\n</div>\n",
            "title": "$:/plugins/tg/tiddlersbar/tiddlersbar",
            "tags": "$:/tags/PageTemplate",
            "modifier": "TonGerner",
            "modified": "20191228200736188",
            "creator": "TonGerner",
            "created": "20170325114702089"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/tg/toolbar/buttons/advanced-search": {
            "text": "{{$:/core/ui/Buttons/advanced-search}}",
            "title": "$:/plugins/tg/toolbar/buttons/advanced-search",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225154959155",
            "description": "{{$:/language/Buttons/AdvancedSearch/Hint}}",
            "creator": "TonGerner",
            "created": "20150727113655362",
            "caption": "{{$:/core/images/advanced-search-button}} {{$:/language/Buttons/AdvancedSearch/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/calendar": {
            "created": "20180226090035324",
            "text": "<div class=\"tgc-dropdown\">\n<$button class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/tg/toolbar/images/calendar}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"show date\"/></span>\n</$list>\n</$button>\n<div class=\"tgc-dropdown-content\">{{$:/plugins/tg/toolbar/images/calendar}}</div>\n</div>\n",
            "title": "$:/plugins/tg/toolbar/buttons/calendar",
            "tags": "$:/tags/TopLeftBar",
            "modified": "20200130155617479",
            "description": "Show date",
            "caption": "{{$:/plugins/tg/toolbar/images/calendar}} show date"
        },
        "$:/plugins/tg/toolbar/buttons/close-all": {
            "text": "{{$:/core/ui/Buttons/close-all}}",
            "title": "$:/plugins/tg/toolbar/buttons/close-all",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225155146291",
            "description": "{{$:/language/Buttons/CloseAll/Hint}}",
            "creator": "TonGerner",
            "created": "20150727113504402",
            "caption": "{{$:/core/images/close-all-button}} {{$:/language/Buttons/CloseAll/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/controlpanel": {
            "text": "{{$:/core/ui/Buttons/control-panel}}",
            "title": "$:/plugins/tg/toolbar/buttons/controlpanel",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225155215931",
            "description": "{{$:/language/Buttons/ControlPanel/Hint}}",
            "creator": "TonGerner",
            "created": "20150727111608178",
            "caption": "{{$:/core/images/options-button}} {{$:/language/Buttons/ControlPanel/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/corrupt-tiddler": {
            "created": "20160212212247535",
            "text": "\\define corrupt-tiddler-button(class)\n<$button to=\"$:/plugins/tg/toolbar/templates/corrupt-tiddler\" tooltip=\"Manage a corrupt tiddler\" class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/tg/toolbar/images/corrupt-tiddler}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"manage corrupt tiddler\"/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/plugins/tg/toolbar/buttons/corrupt-tiddler]]\" emptyMessage=<<corrupt-tiddler-button>>>\n<<corrupt-tiddler-button \"tc-selected\">>\n</$list>\n",
            "title": "$:/plugins/tg/toolbar/buttons/corrupt-tiddler",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20200130145728597",
            "description": "Manage a corrupt tiddler",
            "creator": "TonGerner",
            "caption": "{{$:/plugins/tg/toolbar/images/corrupt-tiddler}} manage corrupt tiddler"
        },
        "$:/plugins/tg/toolbar/buttons/export-page": {
            "text": "{{$:/core/ui/Buttons/export-page}}",
            "title": "$:/plugins/tg/toolbar/buttons/export-page",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225161956287",
            "description": "{{$:/language/Buttons/ExportPage/Hint}}",
            "creator": "TonGerner",
            "created": "20150727114546367",
            "caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportPage/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/fold-all": {
            "text": "{{$:/core/ui/Buttons/fold-all}}",
            "title": "$:/plugins/tg/toolbar/buttons/fold-all",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225162014148",
            "description": "{{$:/language/Buttons/FoldAll/Hint}}",
            "creator": "TonGerner",
            "created": "20160111133242734",
            "caption": "{{$:/core/images/fold-all-button}} {{$:/language/Buttons/FoldAll/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/full-screen": {
            "text": "{{$:/core/ui/Buttons/full-screen}}",
            "title": "$:/plugins/tg/toolbar/buttons/full-screen",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225162042572",
            "description": "{{$:/language/Buttons/FullScreen/Hint}}",
            "creator": "TonGerner",
            "created": "20150727085351568",
            "caption": "{{$:/core/images/full-screen-button}} {{$:/language/Buttons/FullScreen/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/home": {
            "text": "{{$:/core/ui/Buttons/home}}",
            "title": "$:/plugins/tg/toolbar/buttons/home",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225162103271",
            "description": "{{$:/language/Buttons/Home/Hint}}",
            "creator": "TonGerner",
            "created": "20150727085124647",
            "caption": "{{$:/core/images/home-button}} {{$:/language/Buttons/Home/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/import": {
            "text": "{{$:/core/ui/Buttons/import}}",
            "title": "$:/plugins/tg/toolbar/buttons/import",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225162123530",
            "description": "{{$:/language/Buttons/Import/Hint}}",
            "creator": "TonGerner",
            "created": "20150810090131830",
            "caption": "{{$:/core/images/import-button}} {{$:/language/Buttons/Import/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/list-all": {
            "created": "20150728202153771",
            "text": "<$button tooltip=\"List all tiddlers\" popup=\"$:/state/popup/all\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/tg/toolbar/images/list-all}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"list all\"/></span>\n</$list>\n</$button>\n<$reveal type=\"popup\" state=\"$:/state/popup/all\">\n<div class=\"tc-drop-down tgc-font-size-menus\">\n\n:''All tiddlers''\n<$scrollable class='tgc-scrollable-list'>\n{{$:/core/ui/MoreSideBar/All}}\n</$scrollable>\n</div>\n</$reveal>",
            "title": "$:/plugins/tg/toolbar/buttons/list-all",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20200130145807427",
            "description": "List all tiddlers",
            "creator": "TonGerner",
            "caption": "{{$:/plugins/tg/toolbar/images/list-all}} list all"
        },
        "$:/plugins/tg/toolbar/buttons/list-open-tiddlers": {
            "created": "20150728143158416",
            "text": "<$button tooltip=\"List open tiddlers\" popup=\"$:/state/popup/open\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/tg/toolbar/images/list-open}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"list open\"/></span>\n</$list>\n</$button>\n<$reveal type=\"popup\" state=\"$:/state/popup/open\">\n<div class=\"tc-drop-down tgc-font-size-menus\">\n\n:''Open tiddlers''\n<$scrollable class='tgc-scrollable-list'>\n<$list filter=\"[list[$:/StoryList]]+[sort[]]\"/>\n</$scrollable>\n</div>\n</$reveal>",
            "title": "$:/plugins/tg/toolbar/buttons/list-open-tiddlers",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20200130145947875",
            "description": "List open tiddlers",
            "creator": "TonGerner",
            "caption": "{{$:/plugins/tg/toolbar/images/list-open}} list open"
        },
        "$:/plugins/tg/toolbar/buttons/list-recent": {
            "created": "20150728201622065",
            "text": "<$button tooltip=\"List recent tiddlers\" popup=\"$:/state/popup/recent\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/tg/toolbar/images/list-recent}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"list recent\"/></span>\n</$list>\n</$button>\n<$reveal type=\"popup\" state=\"$:/state/popup/recent\">\n<div class=\"tc-drop-down tgc-font-size-menus\">\n\n:''Recent tiddlers''\n<$scrollable class='tgc-scrollable-list'>\n{{$:/core/ui/MoreSideBar/Recent}}\n</$scrollable>\n</div>\n</$reveal>",
            "title": "$:/plugins/tg/toolbar/buttons/list-recent",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20200130150034312",
            "description": "List recent tiddlers",
            "creator": "TonGerner",
            "caption": "{{$:/plugins/tg/toolbar/images/list-recent}} list recent"
        },
        "$:/plugins/tg/toolbar/buttons/list-untagged-tiddlers": {
            "created": "20150728165824527",
            "text": "<$button tooltip=\"List untagged tiddlers\" popup=\"$:/state/popup/untagged\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/tg/toolbar/images/list-untagged}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"list untagged\"/></span>\n</$list>\n</$button>\n<$reveal type=\"popup\" state=\"$:/state/popup/untagged\">\n<div class=\"tc-drop-down tgc-font-size-menus\">\n\n:''Untagged tiddlers''\n<$scrollable class='tgc-scrollable-list'>\n<$list filter=\"[untagged[]!is[system]] -[tags[]] +[sort[title]]\"/>\n</$scrollable>\n</div>\n</$reveal>",
            "title": "$:/plugins/tg/toolbar/buttons/list-untagged-tiddlers",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20200130150128685",
            "description": "List untagged tiddlers",
            "creator": "TonGerner",
            "caption": "{{$:/plugins/tg/toolbar/images/list-untagged}} list untagged"
        },
        "$:/plugins/tg/toolbar/buttons/more-toolbar-actions": {
            "created": "20161010113847343",
            "text": "\\define config-title()\n$:/config/TopLeftBarButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/More/Caption}}/></span>\n</$list>\n</$button><$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tgc-more tc-drop-down\">\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]] -[[$:/core/ui/Buttons/more-page-actions]]\" variable=\"listItem\">\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$set>\n</$reveal>\n</$list>\n</$set>\n</$set>\n</$set>\n</div>\n</$reveal>\n",
            "title": "$:/plugins/tg/toolbar/buttons/more-toolbar-actions",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20200130155900088",
            "description": "{{$:/language/Buttons/More/Hint}}",
            "creator": "TonGerner",
            "caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/new-journal": {
            "text": "{{$:/core/ui/Buttons/new-journal}}",
            "title": "$:/plugins/tg/toolbar/buttons/new-journal",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225162505563",
            "description": "{{$:/language/Buttons/NewJournal/Hint}}",
            "creator": "TonGerner",
            "created": "20150727085921741",
            "caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournal/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/new-template-tiddler": {
            "created": "20131214181113770",
            "text": "<$button message=\"tm-new-tiddler\" tooltip=\"New template tiddler\" class=<<tv-config-toolbar-class>> param=\"$:/plugins/tg/toolbar/templates/new-tiddler\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/tg/toolbar/images/new-template-tiddler}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<$text text=\"new template tiddler\"/>\n</$list>\n</$button>",
            "title": "$:/plugins/tg/toolbar/buttons/new-template-tiddler",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20200130151537549",
            "description": "Create a new tiddler based on a template",
            "creator": "TonGerner",
            "caption": "{{$:/plugins/tg/toolbar/images/new-template-tiddler}} new template tiddler"
        },
        "$:/plugins/tg/toolbar/buttons/new-tiddler": {
            "text": "{{$:/core/ui/Buttons/new-tiddler}}",
            "title": "$:/plugins/tg/toolbar/buttons/new-tiddler",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225162624624",
            "description": "{{$:/language/Buttons/NewTiddler/Hint}}",
            "creator": "TonGerner",
            "created": "20150727085549203",
            "caption": "{{$:/core/images/new-button}} {{$:/language/Buttons/NewTiddler/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/palette": {
            "text": "{{$:/core/ui/Buttons/palette}}",
            "title": "$:/plugins/tg/toolbar/buttons/palette",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225162645712",
            "description": "{{$:/language/Buttons/Palette/Hint}}",
            "creator": "TonGerner",
            "created": "20150727114333302",
            "caption": "{{$:/core/images/palette}} {{$:/language/Buttons/Palette/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/permaview": {
            "text": "{{$:/core/ui/Buttons/permaview}}",
            "title": "$:/plugins/tg/toolbar/buttons/permaview",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225162706341",
            "description": "{{$:/language/Buttons/Permaview/Hint}}",
            "creator": "TonGerner",
            "created": "20150728085559554",
            "caption": "{{$:/core/images/permaview-button}} {{$:/language/Buttons/Permaview/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/refresh": {
            "text": "{{$:/core/ui/Buttons/refresh}}",
            "title": "$:/plugins/tg/toolbar/buttons/refresh",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225162729310",
            "description": "{{$:/language/Buttons/Refresh/Hint}}",
            "creator": "TonGerner",
            "created": "20150728084910677",
            "caption": "{{$:/core/images/refresh-button}} {{$:/language/Buttons/Refresh/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/rename-tags": {
            "created": "20150730073458066",
            "text": "<$button to=\"$:/plugins/tg/toolbar/rename-tags\" tooltip=\"Rename tags\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/tg/toolbar/images/rename-tags}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<$text text=\"rename tags\"/>\n</$list>\n</$button>",
            "title": "$:/plugins/tg/toolbar/buttons/rename-tags",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20200130151707952",
            "description": "Rename tags",
            "creator": "TonGerner",
            "caption": "{{$:/plugins/tg/toolbar/images/rename-tags}} rename tags"
        },
        "$:/plugins/tg/toolbar/buttons/save-wiki": {
            "text": "{{$:/core/ui/Buttons/save-wiki}}",
            "title": "$:/plugins/tg/toolbar/buttons/save-wiki",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225162826543",
            "description": "{{$:/language/Buttons/SaveWiki/Hint}}",
            "creator": "TonGerner",
            "created": "20150727113226924",
            "caption": "{{$:/core/images/save-button}} {{$:/language/Buttons/SaveWiki/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/search": {
            "created": "20180215094132405",
            "text": "<$reveal state=\"$:/state/search\" type=\"nomatch\" text=\"no\">\n<$button set=\"$:/state/search\" setTo=\"no\" tooltip=\"Click to close search\" class=\"tgc-active-indicator tc-btn-invisible\">{{$:/plugins/tg/toolbar/images/search}}</$button>\n</$reveal>\n<$reveal state=\"$:/state/search\" type=\"match\" text=\"no\">\n<$button set=\"$:/state/search\" setTo=\"yes\" tooltip=\"Click to open search\" class=\"tc-btn-invisible\">{{$:/plugins/tg/toolbar/images/search}}</$button>\n</$reveal>",
            "title": "$:/plugins/tg/toolbar/buttons/search",
            "tags": "$:/tags/TopLeftBar",
            "modified": "20200130160310033",
            "description": "Search",
            "caption": "{{$:/plugins/tg/toolbar/images/search}} search"
        },
        "$:/plugins/tg/toolbar/buttons/search-delete-tiddlers": {
            "created": "20160803185834570",
            "text": "<$button to=\"$:/plugins/tg/toolbar/search-delete-tiddlers\" tooltip=\"Search & delete tiddlers\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/delete-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<$text text=\"search & delete tiddlers\"/>\n</$list>\n</$button>",
            "type": "",
            "title": "$:/plugins/tg/toolbar/buttons/search-delete-tiddlers",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20200130152952609",
            "description": "Search & delete tiddlers",
            "creator": "TonGerner",
            "caption": "{{$:/core/images/delete-button}} search & delete"
        },
        "$:/plugins/tg/toolbar/buttons/sidebar": {
            "created": "20131123133349221",
            "text": "<$button to=\"$:/core/ui/SideBarLists\" tooltip=\"Open the Sidebar tabs\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/tg/toolbar/images/sidebar}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<$text text=\"sidebar\"/>\n</$list>\n</$button>",
            "title": "$:/plugins/tg/toolbar/buttons/sidebar",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20200130160459346",
            "description": "Shows the Sidebar",
            "creator": "TonGerner",
            "caption": "{{$:/plugins/tg/toolbar/images/sidebar}} sidebar"
        },
        "$:/plugins/tg/toolbar/buttons/storyview": {
            "text": "{{$:/core/ui/Buttons/storyview}}",
            "title": "$:/plugins/tg/toolbar/buttons/storyview",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225163027612",
            "description": "{{$:/language/Buttons/StoryView/Hint}}",
            "creator": "TonGerner",
            "created": "20150727113916016",
            "caption": "{{$:/core/images/storyview-classic}} {{$:/language/Buttons/StoryView/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/tag-handling": {
            "created": "20150728085245822",
            "text": "<$button to=\"$:/plugins/tg/toolbar/tag-handling\" tooltip=\"List tags\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/tg/toolbar/images/tag-handling}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<$text text=\"list tags\"/>\n</$list>\n</$button>\n",
            "title": "$:/plugins/tg/toolbar/buttons/tag-handling",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20200130160552270",
            "description": "List tags",
            "creator": "TonGerner",
            "caption": "{{$:/plugins/tg/toolbar/images/tag-handling}} tags"
        },
        "$:/plugins/tg/toolbar/buttons/theme": {
            "text": "{{$:/core/ui/Buttons/theme}}",
            "title": "$:/plugins/tg/toolbar/buttons/theme",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225163130885",
            "description": "{{$:/language/Buttons/Theme/Hint}}",
            "creator": "TonGerner",
            "created": "20150727114037029",
            "caption": "{{$:/core/images/theme-button}} {{$:/language/Buttons/Theme/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/tiddler-manager": {
            "text": "{{$:/core/ui/Buttons/manager}}",
            "title": "$:/plugins/tg/toolbar/buttons/tiddler-manager",
            "tags": "$:/tags/TopLeftBar",
            "modified": "20191225163147524",
            "description": "Manage tiddlers",
            "created": "20170503094941294",
            "caption": "{{$:/core/images/list}} manage tiddlers"
        },
        "$:/plugins/tg/toolbar/buttons/toggle-editortoolbar": {
            "text": "<$reveal state=\"$:/config/TextEditor/EnableToolbar\" type=\"nomatch\" text=\"no\">\n<$button set=\"$:/config/TextEditor/EnableToolbar\" setTo=\"no\" tooltip=\"Toggle editor toolbar\" class=\"tgc-active-indicator tc-btn-invisible\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/plugins/tg/toolbar/images/editor-toolbar}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"hide editor toolbar\"/></span>\n</$list>\n</$button>\n\n</$reveal>\n<$reveal state=\"$:/config/TextEditor/EnableToolbar\" type=\"match\" text=\"no\">\n<$button set=\"$:/config/TextEditor/EnableToolbar\" setTo=\"yes\" tooltip=\"Toggle editor toolbar\" class=\"tc-btn-invisible\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/plugins/tg/toolbar/images/editor-toolbar-no}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"show editor toolbar\"/></span>\n</$list>\n</$button>\n</$reveal>\n",
            "title": "$:/plugins/tg/toolbar/buttons/toggle-editortoolbar",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20200313135117311",
            "description": "Toggle editor toolbar",
            "creator": "TonGerner",
            "created": "20160727112924760",
            "caption": "{{$:/plugins/tg/toolbar/images/editor-toolbar}} toggle editor toolbar"
        },
        "$:/plugins/tg/toolbar/buttons/toggle-field-handling": {
            "text": "<$fieldmangler tiddler=\"$:/plugins/tg/toolbar/toggle-fields-handling\">\n<$list filter=\"[[$:/plugins/tg/toolbar/toggle-fields-handling]tag[$:/tags/ViewTemplate]]\">\n<$button message=\"tm-remove-tag\" tooltip=\"Hide field handling in view mode\" param=\"$:/tags/ViewTemplate\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<span class=\"tgc-active-indicator\">\n{{$:/plugins/tg/toolbar/images/fields}}\n</span>\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<$text text=\"xxx\"/>\n</$list>\n</$button>\n</$list>\n\n<$list filter=\"[[$:/plugins/tg/toolbar/toggle-fields-handling]!tag[$:/tags/ViewTemplate]]\">\n<$button message=\"tm-add-tag\" tooltip=\"Field handling in view mode\" param=\"$:/tags/ViewTemplate\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/tg/toolbar/images/fields}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<$text text=\"yyy\"/>\n</$list>\n</$button>\n</$list>\n</$fieldmangler>\n",
            "title": "$:/plugins/tg/toolbar/buttons/toggle-field-handling",
            "tags": "$:/tags/PageControls $:/tags/ViewToolbar $:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20200201113757081",
            "description": "Toggle field handling in view mode",
            "creator": "TonGerner",
            "created": "20160111131840237",
            "caption": "{{$:/plugins/tg/toolbar/images/fields}} field handling"
        },
        "$:/plugins/tg/toolbar/buttons/toggle-sidebar": {
            "text": "{{$:/core/ui/TopBar/menu}}",
            "title": "$:/plugins/tg/toolbar/buttons/toggle-sidebar",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225163427993",
            "description": "{{$:/language/Buttons/HideSideBar/Hint}}",
            "creator": "TonGerner",
            "created": "20150810175051794",
            "caption": "{{$:/core/images/chevron-right}} {{$:/language/Buttons/HideSideBar/Caption}}"
        },
        "$:/plugins/tg/toolbar/buttons/toggle-sticky": {
            "text": "{{$:/plugins/tg/layout/buttons/toggle-sticky}}",
            "title": "$:/plugins/tg/toolbar/buttons/toggle-sticky",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20200313133226725",
            "description": "Toggle sticky behaviour",
            "creator": "TonGerner",
            "created": "20170131182427858",
            "caption": "{{$:/plugins/tg/toolbar/images/sticky}} toggle sticky behaviour"
        },
        "$:/plugins/tg/toolbar/buttons/toggle-tagging": {
            "created": "20160111131840237",
            "text": "<$fieldmangler tiddler=\"$:/plugins/tg/toolbar/tagging\">\n<$list filter=\"[[$:/plugins/tg/toolbar/tagging]tag[$:/tags/ViewTemplate]]\">\n<$button message=\"tm-remove-tag\" tooltip=\"Hide tagging in view mode\" param=\"$:/tags/ViewTemplate\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<span class=\"tgc-active-indicator\">\n{{$:/plugins/tg/toolbar/images/tagging}}\n</span>\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<$text text=\"hide tagging in view mode\"/>\n</$list>\n</$button>\n</$list>\n\n<$list filter=\"[[$:/plugins/tg/toolbar/tagging]!tag[$:/tags/ViewTemplate]]\">\n<$button message=\"tm-add-tag\" tooltip=\"Tagging in view mode\" param=\"$:/tags/ViewTemplate\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/tg/toolbar/images/tagging}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<$text text=\"tagging in view mode\"/>\n</$list>\n</$button>\n</$list>\n</$fieldmangler>\n",
            "title": "$:/plugins/tg/toolbar/buttons/toggle-tagging",
            "tags": "$:/tags/PageControls $:/tags/ViewToolbar $:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20200130161219318",
            "description": "Toggle tagging in view mode",
            "creator": "TonGerner",
            "caption": "{{$:/plugins/tg/toolbar/images/tagging}} tagging"
        },
        "$:/plugins/tg/toolbar/buttons/unfold-all": {
            "text": "{{$:/core/ui/Buttons/unfold-all}}",
            "title": "$:/plugins/tg/toolbar/buttons/unfold-all",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191225163706913",
            "description": "{{$:/language/Buttons/UnfoldAll/Hint}}",
            "creator": "TonGerner",
            "created": "20160111133543876",
            "caption": "{{$:/core/images/unfold-all-button}} {{$:/language/Buttons/UnfoldAll/Caption}}"
        },
        "$:/plugins/tg/toolbar/corrupt-tiddler-input": {
            "text": "<$edit-text class=\"tc-edit-texteditor\" default=\"After selecting the title of the tiddler (above), the source of the 'corrupt' tiddler will be displayed here and can be edited.\" tiddler={{$:/temp/corrupt-tiddler}}/>\n\n",
            "title": "$:/plugins/tg/toolbar/corrupt-tiddler-input",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20200218183042999",
            "creator": "TonGerner",
            "created": "20160810185025269"
        },
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        "$:/plugins/tg/toolbar/images/sticky": {
            "text": "<svg class=\"tgc-sticky-button tc-image-button\" height=\"22pt\" width=\"22pt\" viewBox=\"0 0 290 290\">\n<path d=\"M284.779,92.635L197.365,5.222c-6.962-6.963-18.253-6.963-25.217,0l-0.818,0.818c-6.964,6.963-6.963,18.254,0,25.217\n\tl1.232,1.232L97.788,95.371L95.6,93.182c-2.412-2.412-5.691-3.688-9.484-3.688c-6.215,0-13.456,3.53-19.369,9.443l-5.059,5.059\n\tc-1.238,1.237-1.932,2.915-1.932,4.665c0,1.749,0.694,3.428,1.932,4.665l43.014,43.013L2.526,271.29\n\tc-3.52,3.959-3.34,9.977,0.408,13.72l2.07,2.066C6.949,289.019,9.507,290,12.071,290c2.369,0,4.743-0.838,6.642-2.526\n\tl114.946-102.175l43.015,43.015c1.288,1.288,2.976,1.932,4.665,1.932c1.688,0,3.376-0.644,4.665-1.932l5.06-5.06\n\tc9.864-9.865,12.338-22.27,5.754-28.855l-2.187-2.186l62.881-74.773l1.232,1.231c6.962,6.963,18.252,6.963,25.214-0.002l0.819-0.818\n\tC291.74,110.888,291.741,99.599,284.779,92.635z\"/>\n</svg>\n",
            "title": "$:/plugins/tg/toolbar/images/sticky",
            "tags": "",
            "modified": "20191226164140439",
            "created": "20170314123023395"
        },
        "$:/plugins/tg/toolbar/images/tag-handling": {
            "text": "<svg class=\"tgc-tags-handling-button tc-image-button\" viewBox=\"0 0 22 22\" width=\"22pt\" height=\"22pt\"><path d=\"m0.1875,4.2932l0,4.1057l13.06098,13.02746c0.5684,0.56672 1.48974,0.56672 2.05813,0l6.17418,-6.15877c0.56818,-0.56672 0.56818,-1.4857 0,-2.05285l-13.06098,-13.02724l-4.11605,0l-4.11627,4.1057zm6.81947,2.62217c-0.5684,0.56694 -1.48974,0.56694 -2.05813,0c0.5684,-0.56694 -0.5684,-1.48591 0,-2.05285c0.56818,-0.56694 1.48952,-0.56694 2.05813,0c0.5684,0.56694 0.5684,1.48591 0,2.05285z\"/></svg>",
            "title": "$:/plugins/tg/toolbar/images/tag-handling",
            "modifier": "TonGerner",
            "modified": "20191226164202516",
            "creator": "TonGerner",
            "created": "20131020115200000"
        },
        "$:/plugins/tg/toolbar/images/tagging": {
            "text": "<svg class=\"tgc-tagging-button tc-image-button\" height=\"22pt\" width=\"22pt\" viewBox=\"0 0 22 22\">\n<path id=\"svg_1\" d=\"m7.4224,21.44207l13.97943,-13.96076c0.08521,-0.08543 0.15867,-0.1777 0.22215,-0.27477c0.17689,-0.22723 0.28806,-0.5095 0.28877,-0.82012l-0.00162,-4.94194c0.00091,-0.74124 -0.59945,-1.34073 -1.34167,-1.3403l-4.9476,-0.00043c-0.31232,0 -0.59452,0.11003 -0.82238,0.28763c-0.09682,0.06387 -0.18954,0.13724 -0.27474,0.22229l-13.97857,13.96114c-0.66794,0.66711 -0.6687,1.74766 0,2.41468l4.45844,4.45256c0.66695,0.66621 1.74972,0.66707 2.41779,0zm9.42597,-18.24285c0.54183,-0.54193 1.42166,-0.54193 1.9644,0c0.54268,0.54203 0.54268,1.42046 0,1.96245c-0.54269,0.54151 -1.42257,0.54151 -1.9644,0c-0.54263,-0.54203 -0.54263,-1.42046 0,-1.96245z\"/>\n</svg>",
            "title": "$:/plugins/tg/toolbar/images/tagging",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191226164228018",
            "creator": "TonGerner",
            "created": "20150806203451280"
        },
        "$:/plugins/tg/toolbar/license": {
            "created": "20180125143639052",
            "text": "[[Top toolbar plugin|http://tongerner.tiddlyspot.com/#Top%20toolbar%20plugin]] &copy; Ton Gerner &mdash; 2018-2020\n\nMIT License: https://opensource.org/licenses/MIT",
            "title": "$:/plugins/tg/toolbar/license",
            "tags": "",
            "modified": "20191228105918897"
        },
        "$:/plugins/tg/toolbar/list-standard-tags": {
            "text": "<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n{{$:/core/ui/Buttons/tag-manager}}\n</$set>\n</$set>\n</$set>\n\n<$list filter={{$:/core/Filters/AllTags!!filter}}>\n<$transclude tiddler=\"$:/core/ui/TagTemplate\"/>\n<small><$count filter=\"[all[current]tagging[]]\"/></small><br>\n</$list>\n\n<hr class=\"tc-untagged-separator\">\n\n{{$:/core/ui/UntaggedTemplate}}",
            "title": "$:/plugins/tg/toolbar/list-standard-tags",
            "modifier": "TonGerner",
            "modified": "20191226164346566",
            "creator": "TonGerner",
            "created": "20140430135036880",
            "caption": "Standard tags"
        },
        "$:/plugins/tg/toolbar/list-systemtags": {
            "text": "\\define lingo-base() $:/language/SideBar/Tags/\n''All'' system tags used in this wiki<br>\n<$list filter=\"[all[shadows+tiddlers]tags[]is[system]sort[title]]\"><br>\n<$transclude tiddler=\"$:/core/ui/TagTemplate\"/> <small class=\"tc-menu-list-count\"><$count filter=\"[all[current]tagging[]]\"/></small>\n\n</$list>",
            "title": "$:/plugins/tg/toolbar/list-systemtags",
            "modifier": "TonGerner",
            "modified": "20200215212035805",
            "list-after": "$:/core/ui/MoreSideBar/Tags",
            "creator": "TonGerner",
            "created": "20140806181818854",
            "caption": "All system tags"
        },
        "$:/plugins/tg/toolbar/readme": {
            "text": "This plugin creates a toolbar on top of the screen.<br>\nWith buttons to replicate the functions normally only available in the sidebar and buttons for a few new functions: tagging in view mode, rename tags, delete a corrupt tiddler, list (open/all/recent/tags/untagged), new template tiddler, ...\n\n<<<\n''Note:''<br>''This plugin needs my $:/plugins/tg/layout plugin for general layout settings (available at http://tongerner.tiddlyspot.com/).''\n<<<\n\nSettings for the layout can be found in ~ControlPanel > Appearance > [[Plugin tweaks|$:/plugins/tg/layout/tweaks]].\n\nThe buttons in the toolbar can be switched on/off in ''~ControlPanel > Appearance > Toolbars > [[Top toolbar|$:/core/ui/ControlPanel/Toolbars/TopToolbar]]''. Drag and drop to change the ordering.\n\n<<<\n''Note:''\n\n* This plugin incorporates a slightly modified version of [[Danielo's TagsSearch plugin|http://braintest.tiddlyspot.com/#TagsSearch-Plugin]]\n* If the standard search button (<<icn $:/plugins/tg/toolbar/images/search>>) is used:\n** it needs to be the first button!\n** the top bar needs to have an appropriate height and backgroud color!\n* For toggling of sticky behaviour, see ~ControlPanel > Appearance > [[Plugin tweaks|$:/plugins/tg/layout/tweaks]] (tab Layout)\n* All 'List' buttons do not work via 'More actions'!\n<<<\n",
            "title": "$:/plugins/tg/toolbar/readme",
            "modifier": "TonGerner",
            "modified": "20200314153011611",
            "creator": "TonGerner",
            "created": "20150724160944794"
        },
        "$:/plugins/tg/toolbar/rename-tags": {
            "text": "<<tabs \"[[$:/plugins/tg/toolbar/rename-tags-normal]] [[$:/plugins/tg/toolbar/rename-tags-bulk]]\">>",
            "title": "$:/plugins/tg/toolbar/rename-tags",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20200225202006900",
            "filter": "[tags[]!is[system]sort[title]]",
            "creator": "TonGerner",
            "created": "20150730072835309"
        },
        "$:/plugins/tg/toolbar/search": {
            "text": "<$set name=\"searchTiddler\" value=\"$:/temp/search\">\n<div class=\"tc-search\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\" />\n{{$:/core/images/close-button}}\n</$button>\n<$edit-text tiddler=\"$:/temp/search\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}} focusPopup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-popup-handle\"/>\n<$reveal state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n<$button tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" text={{$:/temp/search}}/>\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n{{$:/core/images/advanced-search-button}}\n</$button>\n\n<$button popup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n<$list filter=\"[{$:/temp/search}minlength{$:/config/Search/MinLength}limit[1]]\" variable=\"listItem\">\n<$set name=\"searchTerm\" value={{{ [<searchTiddler>get[text]] }}}>\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[!is[system]search<searchTerm>]\"/>\"\"\">\n{{$:/language/Search/Matches}}\n</$set>\n</$set>\n</$list>\n</$button>\n</$reveal>\n<$reveal state=\"$:/temp/search\" type=\"match\" text=\"\">\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/advanced-search-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown-wrapper\" state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown tc-search-drop-down tc-popup-handle\" state=<<qualify \"$:/state/popup/search-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n\n<$list filter=\"[{$:/temp/search}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$scrollable class='tgc-scrollable-list'>\n{{$:/core/ui/SearchResults}}\n</$scrollable>\n\n</$list>\n\n</$reveal>\n\n</$reveal>\n\n</$set>\n",
            "title": "$:/plugins/tg/toolbar/search",
            "modified": "20200302092212014",
            "created": "20170629084351675"
        },
        "$:/plugins/tg/toolbar/search-bar": {
            "text": "<div class=\"tgc-search\">{{$:/plugins/tg/toolbar/search}}</div>\n",
            "title": "$:/plugins/tg/toolbar/search-bar",
            "tags": "$:/tags/PageTemplate",
            "modified": "20191226164911522",
            "created": "20190211153816797"
        },
        "$:/plugins/tg/toolbar/search-delete-tiddlers": {
            "text": "Inspired by [[Stephan Hradek/Matabele|https://groups.google.com/d/msg/tiddlywiki/U9GYlwVXp6M/lubA413asP4J]]\n\nEnter filter expression<br>\n<$reveal type=\"nomatch\" state=\"$:/state/example\" text=\"show\">\n<$button class=\"tc-btn-invisible tgc-slider\" set=\"$:/state/example\" setTo=\"show\">Examples &#x25B7;</$button>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/state/example\" text=\"show\">\n\n<$button class=\"tc-btn-invisible tgc-slider\" set=\"$:/state/example\" setTo=\"hide\">Examples &#x25BD;</$button>\n\n|Example |filter |h\n|all tiddlers |`[is[tiddler]!is[system]]`|\n|all 'state' tiddlers |`[prefix[$:/state/]]`|\n|all 'temp' tiddlers |`[prefix[$:/temp/]]`|\n|tagged `mytag` |`[tag[mytag]]`|\n|tagged `mytag` containing 'Foo'|`[tag[mytag]search[Foo]]`|\n\n</$reveal>\n\n<$linkcatcher to=\"$:/temp/delete-filter\">\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/delete-filter\" tag=\"input\" placeholder=\"enter a filter expression\" default=\"\" size=25/>\n<$reveal state=\"$:/temp/delete-filter\" type=\"nomatch\" text=\"\">\n<$link to=\"\" class=\"tc-btn-invisible\">\n{{$:/core/images/close-button}}\n</$link>\n</$reveal>\n</div>\n</$linkcatcher>\n\nClick:\n\n* @@.tgc-underlined Title@@ to expand a tiddler\n* ''&#8599;'' to open a tiddler\n* {{$:/core/images/delete-button}} to delete a tiddler\n* <$button><$set name=\"myVariable\" value={{$:/temp/delete-filter}}><$action-deletetiddler $filter=<<myVariable>> />Delete</$set></$button> to delete ''all'' tiddlers filtered with: ''{{$:/temp/delete-filter}}''\n\n<$list filter={{$:/temp/delete-filter}} template=\"$:/plugins/tg/toolbar/templates/expandable-tiddler\"/>\n\n<$button>\n<$set name=\"myVariable\" value={{$:/temp/delete-filter}}>\n<$action-deletetiddler $filter=<<myVariable>> />\nDelete\n</$set>\n</$button>\n''all'' tiddlers filtered with: ''{{$:/temp/delete-filter}}''",
            "title": "$:/plugins/tg/toolbar/search-delete-tiddlers",
            "modifier": "TonGerner",
            "modified": "20200331121731712",
            "creator": "TonGerner",
            "created": "20160729193254618"
        },
        "$:/plugins/tg/toolbar/search-in-fields": {
            "text": "\\define searchInField(field, for, ci)\n<$list filter=\"[!is[shadow]!is[system]regexp:$field$[$for$$ci$]limit[1]]\">\n<dt>$field$</dt>\n</$list>\n\n<$list filter=\"[!is[shadow]!is[system]regexp:$field$[$for$$ci$]]\">\n<dd><$link><$view field=\"title\"/></$link></dd>\n</$list>\n\\end\n\nThanks to [[Tobias Beer|https://tobibeer.github.io/tb5/#Searching%20In%20Tiddler%20Fields]]\n\n<style>.tc-advanced-search-check input {width:auto !important;}</style>\n\nSearch in fields... &nbsp; <span class=\"tc-advanced-search-check\"><$checkbox field=\"case-insensitive\" tiddler=\"$:/temp/advancedsearch\" checked=\"(?i)\"> case insensitive</$checkbox></span>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\"/> <$select field=\"field\" tiddler=\"$:/temp/advancedsearch\" default=\"\">\n<option value=\"\">*any</option>\n<$list filter=\"[!is[shadow]!is[system]fields[]sort[]]\" variable=\"field\">\n<option value=<<field>>><<field>></option>\n</$list>\n</$select>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$reveal state=\"$:/temp/advancedsearch!!field\" type=\"match\" text=\"\">\n<dl>\n<$list filter=\"[!is[shadow]!is[system]fields[]]\" variable=\"field\">\n\n<$reveal type=nomatch text=text default=<<field>>>\n<$macrocall $name=\"searchInField\" field=<<field>> for={{$:/temp/advancedsearch}} ci={{$:/temp/advancedsearch!!case-insensitive}}/>\n</$reveal>\n</$list>\n</dl>\n</$reveal>\n<$reveal state=\"$:/temp/advancedsearch!!field\" type=\"nomatch\" text=\"\">\n\n<dl>\n<$macrocall $name=\"searchInField\" field={{$:/temp/advancedsearch!!field}} for={{$:/temp/advancedsearch}} ci={{$:/temp/advancedsearch!!case-insensitive}}/>\n</dl>\n</$reveal>\n</$reveal>",
            "title": "$:/plugins/tg/toolbar/search-in-fields",
            "tags": "$:/tags/AdvancedSearch",
            "modified": "20191226165043461",
            "list-after": "$:/core/ui/AdvancedSearch/Filter",
            "created": "20181226163508613",
            "caption": "In Fields"
        },
        "$:/plugins/tg/toolbar/settings": {
            "text": "!!Top toolbar settings\n<table class=\"tablestyle\">\n@@.brown ''Toolbar''@@\n<<tableRow \"Size 'Toolbar' buttons\" \"$:/plugins/tg/toolbar/styles\" \"button-size\">>\n<<tableRow \"Color 'Toolbar' buttons\" \"$:/plugins/tg/toolbar/styles\" \"button-color\">>\n<<tableRow \"Hover color 'Toolbar' buttons\" \"$:/plugins/tg/toolbar/styles\" \"button-hover-color\">>\n<<tableRow \"Start 'Toolbar'\" \"$:/plugins/tg/toolbar/styles\" \"toolbar-left\">>\n<<tableRow \"Top 'Toolbar'\" \"$:/plugins/tg/toolbar/styles\" \"toolbar-top\">>\n<<tableRow \"Button spacing 'Toolbar'\" \"$:/plugins/tg/toolbar/styles\" \"toolbar-button-spacing\">>\n@@.brown ''Menus''@@\n<<tableRow \"Scroll height 'list' menus\" \"$:/plugins/tg/toolbar/styles\" \"menus-scroll-height\">>\n<<tableRow \"Font size 'list' menus\" \"$:/plugins/tg/toolbar/styles\" \"menus-font-size\">>\n</table>\n<$button tooltip=\"Help\">\n<$action-sendmessage $message=\"tm-open-window\" $param=\"$:/plugins/tg/toolbar/settings-help\" height=\"450px\" width=\"700px\"/>Help</$button>\n",
            "title": "$:/plugins/tg/toolbar/settings",
            "tags": "$:/tags/plugin-tweaks",
            "order": "6",
            "modifier": "TonGerner",
            "modified": "20200122201800356",
            "creator": "TonGerner",
            "created": "20140616162341822",
            "caption": "Top toolbar"
        },
        "$:/plugins/tg/toolbar/settings-help": {
            "text": "|Item|Entry |Description |Default |h\n|''Toolbar(s)'' |Size 'Toolbar' buttons|Size of toolbar buttons| 1.4em |\n|~|Color 'Toolbar' buttons|Color of toolbar buttons| `<<colour muted-foreground>>` |\n|~|Hover color 'Toolbar' buttons|Hover color of toolbar buttons| `<<colour foreground>>` |\n|~|Start 'Top toolbar' |Start of the top toolbar<br>(from the left)| 40px |\n|~|Top 'Toolbar'|Offset from top<br>(Top left + Top right bar)| 10px |\n|~|Button spacing 'Top toolbar' |Distance between buttons of Topbar toolbar<br>(Top left + Top right bar)| 5px |\n|''Menus'' |Scroll height 'list' menus |Scroll height of 'list' menus in toolbar | 400px |\n|~|Font size 'list' menus |Font size for 'list' menu entries | 1em |\n",
            "title": "$:/plugins/tg/toolbar/settings-help",
            "modifier": "TonGerner",
            "modified": "20191230170318824",
            "creator": "TonGerner",
            "created": "20140616162513097"
        },
        "$:/plugins/tg/toolbar/styles": {
            "created": "20150721080358195",
            "text": "\\define if-no-search(text)\n<$reveal state=\"$:/state/search\" type=\"match\" text=\"yes\" default=\"tes\">$text$</$reveal>\n\\end\n\n<pre>/* STANDARD SEARCH IN TOOLBAR */\n/* DEFAULT NO SEARCH BOX */\n.tgc-search {\n     display: none;\n}\n<<if-no-search \"\n.tgc-search {\n     display: block;\n     position: fixed;\n     top: 0px;\n     left: calc(40px + {{!!toolbar-left}});\n     width: 100%;\n     padding-top: {{!!toolbar-top}};\n     background-color: {{$:/plugins/tg/layout/styles!!topbar-background-color}};\n     z-index: 1300;\n}\n.tgc-scrollable {\n     height: {{!!menus-scroll-height}};\n     position: relative;\n}\nhtml .tgc-search svg {\n     fill: {{!!button-color}};\n     height: {{!!button-size}};\n     width: {{!!button-size}};\n}\n\">>\n\n/* TOOLBAR */\n/* TOPBAR BUTTONS COLOR */\n.tc-topbar button svg {\n     fill: {{!!button-color}};\n     height: {{!!button-size}};\n     width: {{!!button-size}};\n}\n\n.tc-topbar button:hover svg {\n     fill:{{!!button-hover-color}};\n}\n\n/* SPACE BETWEEN TOOLBAR BUTTONS */\n.tc-topbar button {\n     padding: 4px {{!!toolbar-button-spacing}};\n}\n\n/* TOP BAR LEFT/TOP */\n.tc-topbar-left {\n     left: {{!!toolbar-left}};\n     top: {{!!toolbar-top}};\n}\n\n/* TOP BAR RIGHT/TOP */\n.tc-topbar-right {\n     top: {{!!toolbar-top}};\n}\n\n/* STYLES USED IN DROPDOWN (PREVIEW/CALENDAR */\n.tgc-dropdown {\n     display: inline-block;\n}\n\n.tgc-dropdown-content {\n     display: none;\n     position: absolute;\n     padding: 5px 10px;\n     background-color: {{$:/plugins/tg/layout/styles!!topbar-background-color}};\n}\n\n.tgc-dropdown:hover .tgc-dropdown-content {\n     display: block;\n}\n\n/* TIDDLER */\n/* TOP PADDING TIDDLER */\nhtml .tc-tiddler-frame {\n     padding-top: {{!!tiddler-padding-top}};\n}\n\n/* SIZE OF TIDDLER CONTROL BUTTONS */\nhtml .tc-tiddler-controls button svg {\n     height: {{!!tiddler-button-size}};\n}\n\n/* SPACE BETWEEN TIDDLER CONTROL BUTTONS */\nhtml .tc-tiddler-controls button {\n     margin-left: {{!!tiddler-button-spacing}};\n}\n\n/* SCROLL HEIGHT MENUS IN TOOLBAR */\n.tgc-scrollable-list {\n     padding: 0em;\n     height: {{!!menus-scroll-height}};\n     position: relative;\n}\n\n/* FONT SIZE MENUS */\n.tgc-font-size-menus {\n     font-size: {{!!menus-font-size}};\n}\n\n/* DATES BOLD */\n.tgc-scrollable-list .tc-timeline {\n     color: <<colour primary>>;\n     font-weight: bold;\n}\n\n/* DUMMY BUTTON STYLE */\n.dummybutton {\n     padding: 1px 8px 1px 8px;\n     background-color: #DCDAD5;\n     border-width: 2px;\n     border-style: solid;\n     border-color: white gray gray white;\n}\n\n/* SELECT STYLE */\n.tgc-select {\n    width: 200px;\n}\n\n/* STYLES BELOW USED IN: */\n/* $:/plugins/tg/toolbar/templates/expandable-tiddler */\n/* $:/plugins/tg/toolbar/templates/replace-tags */\n\n/* CUT LONG STRINGS */\n.tgc-trim-string {\n     white-space: nowrap; \n     overflow: hidden; \n     text-overflow: ellipsis;\n}\n\n.tgc-trim-string:hover {\n     white-space: normal;\n     overflow: inherit; \n}\n\n.tgc-message-box {\n     border: 1px solid <<color message-border>>;\n     background: <<color code-background>>;\n     padding: 10px 21px 10px 21px;\n     margin: -10px -21px -10px -21px;\n}\n\n.tgc-font-bold {\n     font-weight: bold;\n}\n\n.tgc-underlined {\n     border-bottom: 1px dotted;\n}\n\n/* Font-size More menu */\n.tgc-more {\n     font-size: 1em;\n}\n\n/* Size close button in Tas search */\n.tc-remove-tag-button svg {\n     font-size: 0.7em;\n     vertical-align: middle;\n}\n</pre>",
            "toolbar-top": "10px",
            "toolbar-left": "40px",
            "toolbar-button-spacing": "5px",
            "title": "$:/plugins/tg/toolbar/styles",
            "tags": "$:/tags/Stylesheet",
            "modifier": "TonGerner",
            "modified": "20200307180947569",
            "menus-scroll-height": "400px",
            "menus-font-size": "1em",
            "creator": "TonGerner",
            "button-size": "1.4em",
            "button-hover-color": "<<colour foreground>>",
            "button-color": "<<colour muted-foreground>>"
        },
        "$:/plugins/tg/toolbar/tag-handling": {
            "text": "<<tabs \"[[$:/plugins/tg/toolbar/list-standard-tags]] [[$:/plugins/tg/toolbar/list-systemtags]] [[$:/plugins/tg/toolbar/list-systemtags-added]]\" \"[[$:/plugins/tg/toolbar/list-standard-tags]]\">>",
            "title": "$:/plugins/tg/toolbar/tag-handling",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20200215211513840",
            "creator": "TonGerner",
            "created": "20160731104557811"
        },
        "$:/plugins/tg/toolbar/tagging": {
            "text": "\\whitespace trim\n\n\\define lingo-base() $:/language/EditTemplate/\n\n\\define tag-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-body-inner(colour,fallbackTarget,colourA,colourB,icon)\n\\whitespace trim\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<span style=<<tag-styles>> class=\"tc-tag-label tc-tag-list-item\">\n<$transclude tiddler=\"\"\"$icon$\"\"\"/>&nbsp;<$view field=\"title\" format=\"text\" />\n<$button message=\"tm-remove-tag\" param={{!!title}} class=\"tc-btn-invisible tc-remove-tag-button\">&times;</$button>\n</span>\n</$vars>\n\\end\n\n\\define tag-body(colour,palette,icon)\n<$macrocall $name=\"tag-body-inner\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} icon=\"\"\"$icon$\"\"\"/>\n\\end\n\n\\define tag-picker-actions()\n<$action-listops\n\t$tiddler=<<currentTiddler>>\n\t$field=\"tags\"\n\t$subfilter=\"[<tag>] [all[current]tags[]]\"\n/>\n\\end\n\n<div class=\"tc-edit-tags\">\n<$fieldmangler>\n<$list filter=\"[all[current]tags[]sort[title]]\" storyview=\"pop\">\n<$macrocall $name=\"tag-body\" colour={{!!color}} palette={{$:/palette}} icon={{!!icon}}/>\n</$list>\n</$fieldmangler>\n<$macrocall $name=\"tag-picker\" actions=<<tag-picker-actions>>/>\n</div>\n",
            "title": "$:/plugins/tg/toolbar/tagging",
            "modifier": "TonGerner",
            "modified": "20200222182438542",
            "list-after": "$:/core/ui/ViewTemplate/tags",
            "creator": "TonGerner",
            "created": "20160111124429261"
        },
        "$:/plugins/tg/toolbar/tagssearch": {
            "created": "20200304141554396",
            "text": "\\define lingo-base() $:/language/EditTemplate/\n\n\\define tag-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-body-inner(colour,fallbackTarget,colourA,colourB,icon)\n\\whitespace trim\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<span style=<<tag-styles>> class=\"tc-tag-label tc-tag-list-item\">\n<$transclude tiddler=\"\"\"$icon$\"\"\"/>&nbsp;<$view field=\"title\" format=\"text\" />\n<$button message=\"tm-remove-tag\" param={{!!title}} class=\"tc-btn-invisible tc-remove-tag-button\">{{$:/core/images/close-button}}</$button>\n</span>\n</$vars>\n\\end\n\n\\define tag-body(colour,palette,icon)\n<$macrocall $name=\"tag-body-inner\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} icon=\"\"\"$icon$\"\"\"/>\n\\end\n\n\\define tag-links()\n<$link>\n<$macrocall $name=\"tag-body\" colour={{!!color}} palette={{$:/palette}} icon={{!!icon}}/>\n</$link>\n\\end\n\n\\define show-system()\n<div>\nSystem tiddlers:\n<$radio field=\"systemfilter\" value=\"\"> Show </$radio>&nbsp; <$radio field=\"systemfilter\" value=\"!is[system]\"> Hide </$radio>\n</div>\n\\end\n\n\\define tag-filter() [![$:/temp/search]!has[draft.of]!is[current]$(systemFilter)$$(searchFilter)$$(tagNames)$$(sorting)$]\n\nThanks to [[Danielo|http://braintest.tiddlyspot.com/#TagsSearch-Plugin]]\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/search\" type=\"search\" tag=\"input\"/>\n<$reveal state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n<$linkcatcher to=\"$:/temp/search\">\n<$link to=\"\" class=\"tc-btn-invisible\">{{$:/core/images/close-button}}</$link>\n</$linkcatcher>\n</$reveal>\n</div>\n\n<$fieldmangler tiddler=\"$:/temp/search\">\n<div class=\"tc-edit-add-tag\">\n<span class=\"tc-add-tag-name\">\n<$edit-text tiddler=\"$:/temp/NewTagName\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Tags/Add/Placeholder}} focusPopup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-edit-texteditor tc-popup-handle\"/>\n</span>\n<$button popup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Tags/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Tags/Dropdown/Caption}}>{{$:/core/images/down-arrow}}\n</$button>\n</div>\n\n<div class=\"tc-block-dropdown-wrapper\">\n<$reveal state=<<qualify \"$:/state/popup/tags-auto-complete\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown\">\n<$linkcatcher set=\"$:/temp/NewTagName\" setTo=\"\" message=\"tm-add-tag\">\n<$list filter=\"[tags[]!is[system]search:title{$:/temp/NewTagName}sort[]]\">\n<<tag-links>>\n</$list>\n<hr>\n<$list filter=\"[tags[]is[system]search:title{$:/temp/NewTagName}sort[]]\">\n<<tag-links>>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n</div>\n\n\n<$list filter=\"[[$:/temp/search]tags[]sort[title]]\" storyview=\"pop\">\n<$macrocall $name=\"tag-body\" colour={{!!color}} palette={{$:/palette}} icon={{!!icon}}/>\n</$list>\n\n\n</$fieldmangler>\n\n<div style=\"display:inline;\"><<show-system>></div>\n<$set name=\"searchFilter\" value=<<search-filter \"$:/temp/search\">> >\n<$set name=\"tagNames\" value=<<extractTagsAsFilter \"$:/temp/search\">> >\n<$set name=\"systemFilter\" value={{!!systemfilter}}>\n<$set name=\"sorting\" value={{!!sortingfilter}}>\n\n\n<$select field=\"sortingfilter\" default=\"sort[created]\" tooltip=\"Choose sorting\" class=\"tgc-select\">\n<option>sort[created]</option>\n<option>!sort[created]</option>\n<option>sort[modified]</option>\n<option>!sort[modified]</option>\n<option>sort[title]</option>\n<option>!sort[title]</option>\n</$select>\n\nClick:\n\n* @@.tgc-underlined Title@@ to expand a tiddler\n* ''&#8599;'' to open a tiddler\n* {{$:/core/images/delete-button}} to delete a tiddler\n\n<$list filter=<<tag-filter>> template=\"$:/plugins/tg/toolbar/templates/expandable-tiddler\">\n\n</$list>\n</$set></$set></$set>",
            "title": "$:/plugins/tg/toolbar/tagssearch",
            "tags": "$:/tags/AdvancedSearch",
            "systemfilter": "",
            "sortingfilter": "!sort[created]",
            "modifier": "TonGerner",
            "modified": "20200305153939432",
            "creator": "TonGerner",
            "caption": "Tags search"
        },
        "$:/plugins/tg/toolbar/templates/corrupt-tiddler": {
            "text": "Inspired by [[Alberto Molina|https://groups.google.com/d/msg/tiddlywiki/JRtIBfv2WO4/lmtywZIMQy8J]]\n\n<$checkbox field=\"filter\" checked=\"[is[shadow]sort[]]\" unchecked=\"[!is[system]sort[]]\" default=\"[!is[system]sort[]]\"> Overridden shadow tiddlers included</$checkbox>\n\n<$select class=\"tgc-select\" tiddler='$:/temp/corrupt-tiddler'>\n<$list filter={{!!filter}}>\n<option>\n<$view field='title'/>\n</option>\n</$list>\n</$select>\n<$button class=\"tc-btn-invisible\" ><$action-deletetiddler $tiddler=\"$:/temp/corrupt-tiddler\"/>{{$:/core/images/close-button}}</$button>\n\n''Edit text of corrupt tiddler:''\n{{$:/plugins/tg/toolbar/corrupt-tiddler-input}}\n",
            "title": "$:/plugins/tg/toolbar/templates/corrupt-tiddler",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20200222185124680",
            "filter": "[!is[system]sort[]]",
            "creator": "TonGerner",
            "created": "20160213131631987"
        },
        "$:/plugins/tg/toolbar/templates/expandable-tiddler": {
            "created": "20160612134937083",
            "text": "\\whitespace trim\n\n<div class=\"tgc-message-box\">\n<dt>\n<div class=\"tgc-trim-string tc-menu-list-item\">\n<abbr title=\"click to expand\">\n<$button popup=<<qualify \"$:/ExpState\">> class=\"tc-btn-invisible\" selectedClass=\"tgc-font-bold\">\n<$view field=\"title\"/>\n</$button>\n</abbr>\n<span title=\"click to open tiddler\">\n<$link>&nbsp;&#8599;</$link>\n</span>\n<span title=\"click to delete\">\n<$button message=\"tm-delete-tiddler\" class=\"tc-btn-invisible\" param={{!!title}}>&nbsp;{{$:/core/images/delete-button}}</$button>\n</span>\n<$list filter=\"[all[current]tags[]!prefix[$]sort[title]]\" template=\"$:/core/ui/TagTemplate\"/>\n</div>\n</dt>\n<dt>\n^^''<$view field=\"created\" format=\"date\" template=\"YYYY-0MM-0DD 0hh:0mm:0ss\" />''&nbsp;/&nbsp;<$view field=\"modified\" format=\"date\" template=\"YYYY-0MM-0DD 0hh:0mm:0ss\" />^^\n</dt>\n</div>\n\n<$reveal state=<<qualify \"$:/ExpState\">> type=\"nomatch\" text=\"\">\n<$transclude mode=\"block\"/>\n</$reveal>\n",
            "title": "$:/plugins/tg/toolbar/templates/expandable-tiddler",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20200302204136720",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/toolbar/templates/new-tiddler": {
            "text": "This is a - demo - template [[$:/plugins/tg/toolbar/templates/new-tiddler]] tagged with `task` and `field` color = #04B.\n\nMake your own template  - with content, tag(s), and field(s) to your liking:\n\n* by modifying [[$:/plugins/tg/toolbar/templates/new-tiddler]]\n\n:''or''\n\n* by making your own template (e.g. [[MyTemplate]]) and modifying [[$:/plugins/tg/toolbar/buttons/new-template-tiddler]]: replace 'param=\"$:/plugins/tg/toolbar/templates/new-tiddler\"' by 'param=\"MyTemplate\"'.",
            "title": "$:/plugins/tg/toolbar/templates/new-tiddler",
            "tags": "task",
            "modified": "20191226165904440",
            "created": "20191226165752246",
            "color": "#0044BB"
        },
        "$:/plugins/tg/toolbar/toggle-fields-handling": {
            "text": "\\define lingo-base() $:/language/EditTemplate/\n\\define config-title()\n$:/config/EditTemplateFields/Visibility/$(currentField)$\n\\end\n\n\\define config-filter()\n[[hide]] -[title{$(config-title)$}]\n\\end\n\n\\define new-field()\n<$vars name={{$:/temp/newfieldname}}>\n<$reveal type=\"nomatch\" text=\"\" default=<<name>>>\n<$button>\n<$action-sendmessage $message=\"tm-add-field\"\n$name=<<name>>\n$value={{$:/temp/newfieldvalue}}/>\n<$action-deletetiddler $tiddler=\"$:/temp/newfieldname\"/>\n<$action-deletetiddler $tiddler=\"$:/temp/newfieldvalue\"/>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" text=\"\" default=<<name>>>\n<$button>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n</$vars>\n\\end\n\n<div class=\"tc-edit-fields\">\n<table class=\"tc-edit-fields\">\n<tbody>\n<$list filter=\"[all[current]fields[]] +[sort[title]]\" variable=\"currentField\">\n<$list filter=<<config-filter>> variable=\"temp\">\n<tr class=\"tc-edit-field\">\n<td class=\"tc-edit-field-name\">\n<$text text=<<currentField>>/>:</td>\n<td class=\"tc-edit-field-value\">\n<$edit-text tiddler=<<currentTiddler>> field=<<currentField>> placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}}/>\n</td>\n<td class=\"tc-edit-field-remove\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/EditTemplate/Field/Remove/Hint}} aria-label={{$:/language/EditTemplate/Field/Remove/Caption}}>\n<$action-deletefield $field=<<currentField>>/>\n{{$:/core/images/delete-button}}\n</$button>\n</td>\n</tr>\n</$list>\n</$list>\n</tbody>\n</table>\n</div>\n\n<$fieldmangler>\n<div class=\"tc-edit-field-add\">\n<em class=\"tc-edit\">\n<<lingo Fields/Add/Prompt>>\n</em>\n<span class=\"tc-edit-field-add-name\">\n<$edit-text tiddler=\"$:/temp/newfieldname\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Name/Placeholder}} focusPopup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-edit-texteditor tc-popup-handle\"/>\n</span>\n<$button popup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Field/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Field/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/field-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$linkcatcher to=\"$:/temp/newfieldname\">\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/User>>\n</div>\n<$list filter=\"[!is[shadow]!is[system]fields[]search:title{$:/temp/newfieldname}sort[]] -created -creator -draft.of -draft.title -modified -modifier -tags -text -title -type\"  variable=\"currentField\">\n<$link to=<<currentField>>>\n<<currentField>>\n</$link>\n</$list>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/System>>\n</div>\n<$list filter=\"[fields[]search:title{$:/temp/newfieldname}sort[]] -[!is[shadow]!is[system]fields[]]\" variable=\"currentField\">\n<$link to=<<currentField>>>\n<<currentField>>\n</$link>\n</$list>\n</$linkcatcher>\n</$set>\n</div>\n</$reveal>\n<span class=\"tc-edit-field-add-value\">\n<$edit-text tiddler=\"$:/temp/newfieldvalue\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}} class=\"tc-edit-texteditor\"/>\n</span>\n<span class=\"tc-edit-field-add-button\">\n<$macrocall $name=\"new-field\"/>\n</span>\n</div>\n</$fieldmangler>",
            "title": "$:/plugins/tg/toolbar/toggle-fields-handling",
            "modified": "20200222182451483",
            "list-after": "$:/core/ui/ViewTemplate/tags",
            "created": "20190323080149511"
        },
        "$:/plugins/danielo/tagSearch/css": {
            "created": "20140924100100430",
            "modified": "20170313155351224",
            "tags": "$:/tags/Stylesheet",
            "title": "$:/plugins/danielo/tagSearch/css",
            "type": "text/css",
            "text": ".tc-advanced-search .tc-radio input { width: auto; }",
            "modifier": "TonGerner"
        },
        "$:/plugins/danielo/tagSearch/macros/extractTagsAsFilter.js": {
            "created": "20140110061443770",
            "text": "/*\\\ncreated: 20140110061443770\ncreator: Danielo Rodriguez\nmodified: 20140415014136920\nmodifier: Danielo\ntags: macros\ntitle: $:/plugins/danielo/tagSearch/macros/extractTagsAsFilter.js\ntype: application/javascript\nmodule-type: macro\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\nThis is developed to .\n*/\n\nexports.name = \"extractTagsAsFilter\";\n\nexports.params = [\n\t{ name: \"tiddlerName\" }\n];\n\n/*\nRun the macro\n*/\nexports.run = function(tiddlerName) {\n   var tiddler=$tw.wiki.getTiddler(tiddlerName);\n    var result=\"\";\n    if(tiddler && tiddler.fields.tags)\n    {\n        var tags=tiddler.fields.tags;\n        for(var i=0; i<tags.length; i++)\n            result+=\"tag[\"+tags[i]+\"]\";\n    }\n\nreturn result;\n}\n\n})();",
            "creator": "Danielo Rodriguez",
            "modified": "20170313155325139",
            "modifier": "TonGerner",
            "tags": "macros",
            "title": "$:/plugins/danielo/tagSearch/macros/extractTagsAsFilter.js",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/plugins/danielo/tagSearch/readme": {
            "text": "This plugin allows you to refine searches using tags. It's possible to search without any tag and the opposite, using just tags as filter.\n\n!! How to use\nAfter installing it you will have a new tab in \"Advanced search\" tiddler. You can also transclude this search whatever you want just transcluding it\n\n```\n{{TagsSearch}}\n```\n\n\n",
            "type": "text/vnd.tiddlywiki",
            "title": "$:/plugins/danielo/tagSearch/readme",
            "modified": "20170313170222220",
            "created": "20140927204347971"
        },
        "$:/plugins/danielo/tagSearch/SearchFilter": {
            "created": "20140414232747021",
            "modified": "20170313155436114",
            "module-type": "macro",
            "tags": "macros",
            "title": "$:/plugins/danielo/tagSearch/SearchFilter",
            "type": "application/javascript",
            "text": "/*\\\ntitle: $:/macros/danielo/SearchFilter.js\ntype: application/javascript\nmodule-type: macro\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\nThis returns an empty search string if tiddlerName is empty. This avoids all tiddlers as result when using an empty as search string. \n*/\n\nexports.name = \"search-filter\";\n\nexports.params = [\n\t{ name: \"tiddlerName\" }\n];\n\n/*\nRun the macro\n*/\nexports.run = function(tiddlerName) {\n   var tiddler=$tw.wiki.getTiddler(tiddlerName);\n    var result=\"search{}\"; //by default,empty search\n    if(tiddler && tiddler.fields.text.trim().length>0 || tiddler.fields.tags)\n    {\n            result=\"search{\"+tiddlerName+\"}\";\n    }\n\nreturn result;\n}\n\n})();",
            "modifier": "TonGerner"
        },
        "$:/core/ui/PageTemplate/topleftbar": {
            "text": "\\define config-title()\n$:/config/TopLeftBarButtons/Visibility/$(listItem)$\n\\end\n\n<$view field=\"title\"/>\n<span class=\"tc-topbar tc-topbar-left\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]]\" variable=\"listItem\">\n<$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$reveal>\n</$list>\n</span>\n",
            "title": "$:/core/ui/PageTemplate/topleftbar",
            "tags": "$:/tags/PageTemplate",
            "modifier": "TonGerner",
            "modified": "20180215164207696",
            "creator": "TonGerner",
            "created": "20160131125744806"
        },
        "$:/core/ui/ControlPanel/Toolbars/TopToolbar": {
            "created": "20150727082309628",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/TopLeftBarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/TopLeftBar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/TopLeftBar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n",
            "caption": "Top toolbar",
            "creator": "TonGerner",
            "modified": "20180215183112233",
            "modifier": "TonGerner",
            "tags": "$:/tags/ControlPanel/Toolbars",
            "title": "$:/core/ui/ControlPanel/Toolbars/TopToolbar"
        },
        "$:/tags/TopLeftBar": {
            "created": "20150810081323549",
            "text": "The buttons in the toolbar can be switched on/off in ''~ControlPanel > Appearance > Toolbars > Top toolbar''. Drag and drop the buttons to change the ordering.\n\nAdditional buttons can become available when my 'tiddlersbar' or 'tabstory' plugin is used:\n\n\"\"\"\n$:/plugins/tg/tiddlersbar/button\n$:/plugins/tg/tabstory/button\n\"\"\"\n\n<<<\n''Note:''<br>To let $:/plugins/tg/tiddlersbar/button and/or $:/plugins/tg/tabstory/button show up in in ''ControlPanel > Appearance > Toolbars > Top toolbar'', you need to add a tag $:/tags/TopLeftBar to these buttons!\n<<<\n",
            "title": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20200215111732753",
            "creator": "TonGerner",
            "list": "$:/plugins/tg/toolbar/buttons/search $:/plugins/tg/toolbar/buttons/advanced-search $:/plugins/tg/toolbar/buttons/toggle-sidebar $:/plugins/tg/toolbar/buttons/full-screen $:/plugins/tg/toolbar/buttons/home $:/plugins/tg/toolbar/buttons/refresh $:/plugins/tg/toolbar/buttons/close-all $:/plugins/tg/toolbar/buttons/controlpanel $:/plugins/tg/toolbar/buttons/sidebar $:/plugins/tg/toolbar/buttons/import $:/plugins/tg/toolbar/buttons/export-page $:/plugins/tg/toolbar/buttons/list-all $:/plugins/tg/toolbar/buttons/list-recent $:/plugins/tg/toolbar/buttons/toggle-recent_a-z $:/plugins/tg/toolbar/buttons/list-open-tiddlers $:/plugins/tg/toolbar/buttons/list-untagged-tiddlers $:/plugins/tg/toolbar/buttons/new-journal $:/plugins/tg/toolbar/buttons/new-template-tiddler $:/plugins/tg/toolbar/buttons/new-tiddler $:/plugins/tg/toolbar/buttons/theme $:/plugins/tg/toolbar/buttons/palette $:/plugins/tg/toolbar/buttons/storyview $:/plugins/tg/toolbar/buttons/toggle-sticky $:/plugins/tg/toolbar/buttons/toggle-editortoolbar $:/plugins/tg/toolbar/buttons/preview $:/plugins/tg/toolbar/buttons/toggle-preview $:/plugins/tg/toolbar/buttons/fold-all $:/plugins/tg/toolbar/buttons/unfold-all $:/plugins/tg/toolbar/buttons/permaview $:/plugins/tg/toolbar/buttons/save-wiki $:/plugins/tg/toolbar/buttons/toggle-tagging $:/plugins/tg/toolbar/buttons/toggle-field-handling $:/plugins/tg/toolbar/buttons/tiddler-manager $:/plugins/tg/toolbar/buttons/tag-handling $:/plugins/tg/toolbar/buttons/rename-tags $:/plugins/tg/toolbar/buttons/corrupt-tiddler $:/plugins/tg/toolbar/buttons/search-delete-tiddlers $:/plugins/tg/toolbar/buttons/calendar $:/plugins/tg/toolbar/buttons/more-toolbar-actions"
        },
        "$:/language/ControlPanel/Toolbars/TopLeftBar/Hint": {
            "text": "Choose which tiddlers are displayed on the top left toolbar. Drag and drop to change the ordering",
            "title": "$:/language/ControlPanel/Toolbars/TopLeftBar/Hint",
            "tags": "",
            "modified": "20170504081701002",
            "created": "20170504074539994"
        },
        "$:/plugins/tg/toolbar/images/sort_a-z": {
            "text": "<svg class=\"tc-image-button tgc-sort\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 447.874 447.874\">\n    <path d=\"m83.719,0c-7.001,14.398 -13.75,29.15 -20.25,44.25s-13.111,31.044 -19.812,47.844c-6.702,16.8 -13.534,34.719 -20.531,53.719c-6.998,19 -14.387,39.694 -22.188,62.094l48.594,0c2.203,-7.202 4.646,-14.62 7.344,-22.219c2.698,-7.599 5.337,-15.182 7.938,-22.781l81,0c2.6,7.599 5.271,15.182 7.969,22.781s5.14,15.017 7.344,22.219l50.094,0c-7.801,-22.4 -15.187,-43.093 -22.188,-62.094c-7.001,-19 -13.864,-36.919 -20.562,-53.719c-6.699,-16.8 -13.337,-32.743 -19.938,-47.844c-6.601,-15.1 -13.326,-29.852 -20.125,-44.25c0,0 -44.689,0 -44.689,0zm21.312,47.094c1.202,3.003 2.782,7.112 4.781,12.312s4.362,11.201 7.062,18c2.701,6.799 5.531,14.3 8.531,22.5c3,8.2 6.114,16.81 9.312,25.812l-59.092,0c3.198,-9.003 6.337,-17.612 9.438,-25.812c3.1,-8.2 5.962,-15.701 8.562,-22.5s4.907,-12.8 6.906,-18s3.499,-9.309 4.5,-12.312zm218.031,30.906c-1.963,0 -3.924,1.086 -5.312,2.938s-2.187,4.445 -2.188,7.062l0,186l-27.281,-27.281c-1.833,-1.832 -4.44,-2.882 -7.031,-2.844c-2.493,0.039 -4.955,1.082 -6.719,2.844l-27.5,27.5c-1.8,1.8 -2.844,4.329 -2.844,6.875s1.043,5.075 2.844,6.875l91.656,91.625c1.8,1.8 4.329,2.844 6.875,2.844s5.075,-1.043 6.875,-2.844l91.625,-91.625c1.8,-1.8 2.875,-4.329 2.875,-6.875s-1.075,-5.075 -2.875,-6.875l-27.5,-27.5c-1.799,-1.796 -4.302,-2.844 -6.844,-2.844s-5.076,1.048 -6.875,2.844l-27.282,27.281l0,-186c0,-2.618 -0.799,-5.211 -2.188,-7.062s-3.349,-2.937 -5.312,-2.938l-44.999,0zm-293.937,161.969l0,39.312l93.281,0c-7.8,9.4 -16.243,20.036 -25.344,31.938c-9.1,11.902 -18.046,24.208 -26.844,36.906s-17.241,25.281 -25.344,37.781c-8.102,12.5 -14.966,23.858 -20.562,34.062l0,27.906l163.5,0l0,-39.312l-105.906,0c7.202,-12 15.424,-24.582 24.625,-37.781s18.507,-26.007 27.906,-38.406c9.399,-12.399 18.483,-23.842 27.281,-34.344c8.798,-10.501 16.41,-19.058 22.812,-25.656l0,-32.406l-155.405,0l0,0z\"/>\n</svg>",
            "title": "$:/plugins/tg/toolbar/images/sort_a-z",
            "tags": "",
            "modified": "20200110204922029",
            "created": "20200110183213954"
        },
        "$:/plugins/tg/toolbar/buttons/toggle-recent_a-z": {
            "text": "<$fieldmangler tiddler=\"$:/plugins/tg/layout/timeline-macro\">\n<$list filter=\"[[$:/plugins/tg/layout/timeline-macro]tag[$:/tags/Macro]]\">\n<$button message=\"tm-remove-tag\" tooltip=\"Sort recent alphabetical\" param=\"$:/tags/Macro\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<span class=\"tgc-active-indicator\">\n{{$:/plugins/tg/toolbar/images/sort_a-z}}\n</span>\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<$text text=\"sort normal\"/>\n</$list>\n</$button>\n</$list>\n\n<$list filter=\"[[$:/plugins/tg/layout/timeline-macro]!tag[$:/tags/Macro]]\">\n<$button message=\"tm-add-tag\" tooltip=\"Sort recent alphabetical\" param=\"$:/tags/Macro\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/tg/toolbar/images/sort_a-z}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<$text text=\"sort alphabetical\"/>\n</$list>\n</$button>\n</$list>\n</$fieldmangler>",
            "title": "$:/plugins/tg/toolbar/buttons/toggle-recent_a-z",
            "tags": "$:/tags/TopLeftBar",
            "modified": "20200313133035082",
            "description": "Sort recent alphabetical",
            "created": "20200110171112675",
            "caption": "{{$:/plugins/tg/toolbar/images/sort_a-z}} sorting"
        },
        "$:/plugins/tg/toolbar/buttons/preview": {
            "text": "<div class=\"tgc-dropdown\">\n<$button class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/preview-open}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"toggle preview\"/></span>\n</$list>\n</$button>\n<div class=\"tgc-dropdown-content\"><$transclude tiddler=\"$:/plugins/tg/toolbar/preview_modes\" mode=\"block\"/></div>\n</div>\n",
            "title": "$:/plugins/tg/toolbar/buttons/preview",
            "tags": "$:/tags/TopLeftBar",
            "modified": "20200215110450916",
            "description": "Toggle preview",
            "created": "20200214130208820",
            "caption": "{{$:/core/images/preview-open}} toggle preview"
        },
        "$:/plugins/tg/toolbar/preview_modes": {
            "created": "20200214130542330",
            "text": "Preview <$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"no\"><$button set=\"$:/state/showeditpreview\" setTo=\"no\" tooltip=\"Hide preview\" class=\"tc-btn-invisible\">{{$:/core/images/preview-open}}</$button></$reveal><$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"no\"><$button set=\"$:/state/showeditpreview\" setTo=\"yes\" tooltip=\"Show preview\" class=\"tc-btn-invisible\">{{$:/core/images/preview-closed}}</$button></$reveal><br>\nScrollable <$checkbox tiddler=\"$:/plugins/tg/layout/style_scroll_preview\" tag=\"$:/tags/Stylesheet\"></$checkbox>\n",
            "title": "$:/plugins/tg/toolbar/preview_modes",
            "tags": "",
            "modified": "20200308160941120"
        },
        "$:/plugins/tg/toolbar/list-systemtags-added": {
            "text": "\\define lingo-base() $:/language/SideBar/Tags/\nAll ''added'' system tags in this wiki:<br>\n<$list filter=\"[all[tiddlers]tags[]is[system]sort[title]]\"><br>\n<$transclude tiddler=\"$:/core/ui/TagTemplate\"/> <small class=\"tc-menu-list-count\"><$count filter=\"[all[current]tagging[]]\"/></small>\n\n</$list>",
            "title": "$:/plugins/tg/toolbar/list-systemtags-added",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20200215212020174",
            "list-after": "$:/core/ui/MoreSideBar/Tags",
            "creator": "TonGerner",
            "created": "20200215211302465",
            "caption": "Added system tags"
        },
        "$:/plugins/tg/toolbar/rename-tags-bulk": {
            "created": "20200215205247413",
            "text": "\\define list_links(filter)\n\\whitespace trim\n<$list filter=\"$filter$\">\n<$link to={{!!title}}>\n</$link><br>\n</$list>\n\\end\n\n!! Bulk rename tags\nInspired by [[RichardWilliamSmith|https://github.com/Jermolene/TiddlyWiki5/issues/1614#issuecomment-424881618]]\n\n<<<\n''Note:''\n\n* ''Be careful, you cannot undo this!''\n* You can only rename to an ''existing'' tag (otherwise use the [['standard' Rename|$:/plugins/tg/toolbar/rename-tags-normal]])\n* Do not rename core tags like `$:/tags/Stylesheet`; rename only your own`$` tags!\n<<<\n\n|borderless|k\n|''Change from'' <$select class=\"tgc-select\" tiddler=<<currentTiddler>> field=\"tag2remove\"><$list filter='[all[tiddlers]tags[]]'><option value=<<currentTiddler>> field=\"tag2remove\"><$view field='title'/></option></$list></$select>|&nbsp;''to''&nbsp;|<$select class=\"tgc-select\" tiddler=<<currentTiddler>> field=\"tag2add\"><$list filter='[all[tiddlers]tags[]]'><option value=<<currentTiddler>> field=\"tag2add\"><$view field='title'/></option></$list></$select> <$button class=\"tc-btn-invisible\" ><$action-deletefield tag2add tag2remove/>&nbsp;{{$:/core/images/close-button}}</$button>|\n|^<<list_links filter:\"[all[shadows+tiddlers]tag{!!tag2remove}]\">>||^<<list_links filter:\"[all[shadows+tiddlers]tag{!!tag2add}]\">>|\n|<$set name=\"newTag\" value={{!!tag2add}}><$set name=\"oldTag\" value={{!!tag2remove}}><$reveal type=\"nomatch\" state=\"!!tag2add\" text=\"\"><$button><$list filter=\"[all[shadows+tiddlers]tag{!!tag2remove}]\"><$fieldmangler><$action-sendmessage $message=\"tm-add-tag\" $param=<<newTag>>/><$action-sendmessage $message=\"tm-remove-tag\" $param=<<oldTag>>/></$fieldmangler></$list>Bulk rename</$button></$reveal></$set></$set>|||\n",
            "title": "$:/plugins/tg/toolbar/rename-tags-bulk",
            "tags": "",
            "modified": "20200307194604402",
            "caption": "Bulk rename"
        },
        "$:/plugins/tg/toolbar/rename-tags-normal": {
            "created": "20200307162621008",
            "text": "\\define lingo-base() $:/language/EditTemplate/\n!! Rename (or delete) tags\n\nInspired by [[Tobias Beer|https://tobibeer.github.io/tb5/#Search%20And%20Replace%20Tag]]\n\n<<<\n''Note:''\n\n* You can ''delete'' tags by letting the 'tag to add' field blank\n* You can check the tiddlers before renaming\n* Do not rename core tags like `$:/tags/Stylesheet`; rename only your own`$` tags!\n<<<\n\n''Change from''\n<$fieldmangler>\n<$edit-text\ntiddler=\"$:/temp/replace-tag\"\nfield=\"tag2remove\"\ntag=\"input\"\ndefault=\"\"\nplaceholder=\"tag to remove\"\nsize=16\nfocusPopup=<<qualify \"$:/state/popup/replace-tags\">>\nclass=\"tc-popup-handle\"/>\n<$button\npopup=<<qualify \"$:/state/popup/replace-tags\">>\nclass=\"tc-btn-invisible tc-btn-dropdown\"\ntooltip={{$:/language/EditTemplate/Tags/Dropdown/Hint}}\naria-label={{$:/language/EditTemplate/Tags/Dropdown/Caption}}>\n{{$:/core/images/down-arrow}}</$button>\n&nbsp;''to''&nbsp;\n<$edit-text\ntiddler=\"$:/temp/replace-tag\"\nfield=\"tag2add\"\ntag=\"input\"\ndefault=\"\"\nplaceholder=\"tag to add\"\nsize=16/>\n<$reveal state=\"$:/temp/replace-tag!!tag2remove\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\">\n<$action-deletetiddler $tiddler=\"$:/temp/replace-tag\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n<div class=\"tc-block-dropdown-wrapper\">\n<$reveal\nstate=<<qualify \"$:/state/popup/replace-tags\">>\ntype=\"nomatch\"\ntext=\"\"\ndefault=\"\">\n<div class=\"tc-block-dropdown\">\n<$linkcatcher to=\"$:/temp/replace-tag!!tag2remove\">\n<$list filter=\"[tags[]search:title{$:/temp/replace-tag!!tag2remove}sort[]]\">\n{{||$:/core/ui/Components/tag-link}}\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n</div>\n</$fieldmangler>\n\nClick:\n\n* @@.tgc-underlined Title@@ to expand a tiddler\n* ''&#8599;'' to open a tiddler\n* <button> {{$:/plugins/tg/toolbar/images/replace-tag}}</button> to replace tag\n\n<$list filter='[tag{$:/temp/replace-tag!!tag2remove}]' template=\"$:/plugins/tg/toolbar/templates/replace-tags\"/>\n",
            "title": "$:/plugins/tg/toolbar/rename-tags-normal",
            "tags": "rename",
            "modified": "20200307180448236",
            "caption": "Rename"
        },
        "$:/plugins/tg/toolbar/images/replace-tag": {
            "created": "20200307174355345",
            "text": "<svg class=\"tgc-replace-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 512 512\">\n<path d=\"M269 2c-6 3-8 5-11 11-2 4-2 6-2 72 0 64 0 69 2 72 2 6 7 11 12 12 5 2 223 2 228 0 5-1 10-6 12-12 2-3 2-8 2-72V17l-2-5c-3-5-5-7-11-10-4-2-6-2-115-2H274l-5 2zm200 83v43H299V43h170v42zM132 66c-28 6-52 27-62 53-6 14-6 20-6 65v41l-17-16-17-17-15 15-15 16 37 36c39 39 39 39 49 39l9-2 40-38 36-36-15-15-15-15-17 17-17 16v-41c0-38 0-41 2-47 4-14 15-24 29-29l40-1h35V64h-36c-31 0-38 0-45 2zM423 214l-6 2c-2 1-20 18-39 38l-36 36 15 15 15 15 16-17 17-16v41c0 38 0 41-2 47-4 14-14 24-29 29l-40 1h-35v43h35c39 0 46-1 59-6 21-7 40-26 48-46 6-15 7-21 7-68v-42l17 17 17 17 15-15 15-16-37-36c-27-28-37-37-40-38-6-2-9-2-12-1zM16 342c-7 2-11 6-14 12-2 4-2 8-2 73 0 66 0 68 2 72 3 6 5 8 11 11l5 2h110c109 0 111 0 115-2 6-3 8-5 11-11l2-4v-68c0-64 0-69-2-72-2-5-6-10-11-12l-113-2-114 1zm197 84v43H43v-85h170v43z\"/>\n</svg>",
            "title": "$:/plugins/tg/toolbar/images/replace-tag",
            "tags": "",
            "modified": "20200307174543025"
        },
        "$:/plugins/tg/toolbar/templates/replace-tags": {
            "created": "20200307164640132",
            "text": "\\whitespace trim\n\n<div class=\"tgc-message-box\">\n<dt>\n<div class=\"tgc-trim-string tc-menu-list-item\">\n<abbr title=\"click to expand\">\n<$button popup=<<qualify \"$:/ExpState\">> class=\"tc-btn-invisible\" selectedClass=\"tgc-font-bold\">\n<$view field=\"title\"/>\n</$button>\n</abbr>\n<span title=\"click to open tiddler\">\n<$link>&nbsp;&#8599;</$link>&emsp;\n</span>\n<$fieldmangler tiddler=<<currentTiddler>>>\n<$button tooltip=\"Click to replace tag\">\n{{$:/plugins/tg/toolbar/images/replace-tag}}\n<$action-sendmessage $message=\"tm-remove-tag\"\n$param={{$:/temp/replace-tag!!tag2remove}}/>\n<$action-sendmessage $message='tm-add-tag'\n$param={{$:/temp/replace-tag!!tag2add}}/>\n</$button>\n</$fieldmangler>\n</div>\n</dt>\n<dt>\n^^''<$view field=\"created\" format=\"date\" template=\"YYYY-0MM-0DD 0hh:0mm:0ss\" />''&nbsp;/&nbsp;<$view field=\"modified\" format=\"date\" template=\"YYYY-0MM-0DD 0hh:0mm:0ss\" />^^\n</dt>\n</div>\n\n<$reveal state=<<qualify \"$:/ExpState\">> type=\"nomatch\" text=\"\">\n<$transclude mode=\"block\"/>\n</$reveal>\n",
            "title": "$:/plugins/tg/toolbar/templates/replace-tags",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20200307180239673",
            "creator": "TonGerner"
        },
        "$:/plugins/tg/toolbar/images/editor-toolbar-no": {
            "text": "<svg <svg class=\"tgc-no-toolbar-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 1600 1600\">\n<path d=\"M50 800v300h1500V500H50v300zm1400 0v200H150V600h1300v200z\"/>\n<path d=\"M250 800v100h200V700H250v100zM550 800v100h200V700H550v100zM931 701.4c-21.1 4.5-39.3 14.6-54 30.2-11.4 12.1-19.7 27-24.2 43.4-2 7.3-2.3 10.8-2.3 25s.3 17.7 2.3 25c7.9 28.9 27.1 52.1 53.7 65 15.8 7.8 23.8 9.5 43.5 9.5 19.7-.1 27.8-1.8 43.5-9.5 26.6-12.9 45.9-36.2 53.6-65 2-7.2 2.3-11 2.4-25 0-19.7-1.7-27.7-9.5-43.5-10.4-21.4-26.6-37.3-48.3-47.5-13.5-6.3-22-8.2-39.2-8.6-10.1-.2-17.1.1-21.5 1zM1150 800v100h200V700h-200v100z\"/>\n<path stroke=\"#000\" stroke-width=\"5\" d=\"M274.431 1377.251L1083.268 128.83l99.025 64.157-808.837 1248.421z\"/>\n</svg>",
            "title": "$:/plugins/tg/toolbar/images/editor-toolbar-no",
            "tags": "",
            "modified": "20200313134703767",
            "created": "20200313133518805"
        }
    }
}

\whitespace trim

\define lingo-base() $:/language/EditTemplate/

\define tag-styles()
background-color:$(backgroundColor)$;
fill:$(foregroundColor)$;
color:$(foregroundColor)$;
\end

\define tag-body-inner(colour,fallbackTarget,colourA,colourB,icon)
\whitespace trim
<$vars foregroundColor=<<contrastcolour target:"""$colour$""" fallbackTarget:"""$fallbackTarget$""" colourA:"""$colourA$""" colourB:"""$colourB$""">> backgroundColor="""$colour$""">
<span style=<<tag-styles>> class="tc-tag-label tc-tag-list-item">
<$transclude tiddler="""$icon$"""/>&nbsp;<$view field="title" format="text" />
<$button message="tm-remove-tag" param={{!!title}} class="tc-btn-invisible tc-remove-tag-button">&times;</$button>
</span>
</$vars>
\end

\define tag-body(colour,palette,icon)
<$macrocall $name="tag-body-inner" colour="""$colour$""" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} icon="""$icon$"""/>
\end

\define tag-picker-actions()
<$action-listops
	$tiddler=<<currentTiddler>>
	$field="tags"
	$subfilter="[<tag>] [all[current]tags[]]"
/>
\end

<div class="tc-edit-tags">
<$fieldmangler>
<$list filter="[all[current]tags[]sort[title]]" storyview="pop">
<$macrocall $name="tag-body" colour={{!!color}} palette={{$:/palette}} icon={{!!icon}}/>
</$list>
</$fieldmangler>
<$macrocall $name="tag-picker" actions=<<tag-picker-actions>>/>
</div>

{
    "tiddlers": {
        "$:/core/ui/TopBar/menu": {
            "text": "<div style=\"width:40px;position:fixed;top:6px;left:0px;\">\n<$fieldmangler tiddler=\"$:/plugins/tg/topleftmenu/left-menu-show-styles\">\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"no\">\n<$button message=\"tm-remove-tag\" param=\"$:/tags/Stylesheet\" set=\"$:/state/sidebar\" setTo=\"yes\" tooltip=\"Hide left menu\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-left}}\n</$button>\n</$reveal>\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"no\">\n<$button message=\"tm-add-tag\" param=\"$:/tags/Stylesheet\" set=\"$:/state/sidebar\" setTo=\"no\" tooltip=\"Show left menu\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}}\n</$button>\n</$reveal>\n</$fieldmangler>\n</div>\n\n<$fieldmangler tiddler=\"$:/plugins/tg/topleftmenu/left-menu-show-styles\">\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"no\">\n<$button set=\"$:/state/sidebar\" setTo=\"no\" tooltip=\"Hide sidebar\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}}</$button>\n</$reveal>\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"no\">\n<$button message=\"tm-remove-tag\" param=\"$:/tags/Stylesheet\" set=\"$:/state/sidebar\" setTo=\"yes\" tooltip=\"Show sidebar\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-left}}</$button>\n</$reveal>\n</$fieldmangler>\n",
            "title": "$:/core/ui/TopBar/menu",
            "tags": "$:/tags/TopRightBar",
            "modifier": "TonGerner",
            "modified": "20191230092553679",
            "creator": "TonGerner",
            "created": "20150710120220387"
        },
        "$:/plugins/tg/topleftmenu/help": {
            "created": "20170615115727675",
            "creator": "TonGerner",
            "text": "\\define source(tiddler)\n<pre><$view tiddler=\"$tiddler$\" format=\"text\"/></pre>\n\\end\n\nThe [[top menu|$:/plugins/tg/topleftmenu/topmenu]] needs to be populated with tag based entries. The [[top menu|$:/plugins/tg/topleftmenu/topmenu]] contains:\n\n<<source $:/plugins/tg/topleftmenu/topmenu>>\n\nMenu entries need to te tagged with `tagpill1`, `tagpill2`, ...\n\n<<<\n''Note:''<br>The order of the top menu entries can be changed by drag & drop.\n<<<\n\nThe [[Left menu|$:/plugins/tg/topleftmenu/leftmenu/entries]] needs to be populated with menu entries (based on links, tags, tagpills, sliders, TOC macro, ...). The [[Left menu|$:/plugins/tg/topleftmenu/leftmenu/entries]] contains:\n\n<<source $:/plugins/tg/topleftmenu/leftmenu/entries>>\n\n<<<\n''Note:''<br>The order of the tagpill based left menu entries can be changed by drag & drop.\n<<<",
            "title": "$:/plugins/tg/topleftmenu/help",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191229212605782"
        },
        "$:/plugins/tg/topleftmenu/icon": {
            "created": "20160109210815830",
            "creator": "TonGerner",
            "text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 100 100\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:svg=\"http://www.w3.org/2000/svg\">\n <metadata id=\"metadata7\">image/svg+xml</metadata>\n <g>\n  <g id=\"layer1\">\n   <path fill=\"#a0a0ff\" stroke=\"#a0a0ff\" stroke-width=\"1.2218\" stroke-miterlimit=\"4\" id=\"path4142\" d=\"m48.98237,97.8691l-41.98313,-24.239l0,-48.47796l41.98313,-24.23897l41.98313,24.23897l0,48.47796l-41.98313,24.239z\"/>\n   <path id=\"path5447\" d=\"m50.50272,25.27657l27.36735,0c1.25889,0 2.28061,-1.0217 2.28061,-2.2806c0,-1.2589 -1.02172,-2.2806 -2.28061,-2.2806l-27.36735,0c-1.2589,0 -2.28061,1.0217 -2.28061,2.2806c0,1.2589 1.02171,2.2806 2.28061,2.2806zm27.36735,4.5612l-27.36735,0c-1.2589,0 -2.28061,1.0217 -2.28061,2.2806c0,1.2589 1.02171,2.2806 2.28061,2.2806l27.36735,0c1.25889,0 2.28061,-1.0217 2.28061,-2.2806c0,-1.2589 -1.02172,-2.2806 -2.28061,-2.2806zm0,9.1225l-27.36735,0c-1.2589,0 -2.28061,1.0217 -2.28061,2.2806c0,1.2589 1.02171,2.2806 2.28061,2.2806l27.36735,0c1.25889,0 2.28061,-1.0217 2.28061,-2.2806c0,-1.2589 -1.02172,-2.2806 -2.28061,-2.2806z\"/>\n   <path d=\"m11.13776,43.62076l27.36734,0c1.2589,0 2.28061,-1.0217 2.28061,-2.2806c0,-1.2589 -1.02171,-2.2806 -2.28061,-2.2806l-27.36734,0c-1.2589,0 -2.28062,1.0217 -2.28062,2.2806c0,1.2589 1.02172,2.2806 2.28062,2.2806zm27.36734,4.56114l-27.36734,0c-1.2589,0 -2.28062,1.0217 -2.28062,2.2806c0,1.2589 1.02172,2.2806 2.28062,2.2806l27.36734,0c1.2589,0 2.28061,-1.0217 2.28061,-2.2806c0,-1.2589 -1.02171,-2.2806 -2.28061,-2.2806zm0,9.1225l-27.36734,0c-1.2589,0 -2.28062,1.0217 -2.28062,2.2806c0,1.2589 1.02172,2.2806 2.28062,2.2806l27.36734,0c1.2589,0 2.28061,-1.0217 2.28061,-2.2806c0,-1.2589 -1.02171,-2.2806 -2.28061,-2.2806z\" id=\"path5494-7\"/>\n  </g>\n </g>\n</svg>",
            "type": "image/svg+xml",
            "title": "$:/plugins/tg/topleftmenu/icon",
            "modifier": "TonGerner",
            "modified": "20191229212641406"
        },
        "$:/plugins/tg/topleftmenu/left-menu-hide-styles": {
            "created": "20150710115355458",
            "creator": "TonGerner",
            "text": "/* DEFAULT: HIDDEN LEFT MENU */\n.tgc-leftmenu {\n     display: none;\n}",
            "modified": "20191229212656381",
            "modifier": "TonGerner",
            "tags": "$:/tags/Stylesheet",
            "title": "$:/plugins/tg/topleftmenu/left-menu-hide-styles",
            "type": "text/css"
        },
        "$:/plugins/tg/topleftmenu/left-menu-show-styles": {
            "text": "<pre>/* LEFT MENU */\n/* STORY-RIVER */\nhtml .tc-story-river {\n     left: {{!!story-left}};\n     width: {{!!story-width}};\n}\n\n/* LEFT MENU, FIXED IN POSITION */\nhtml .tgc-leftmenu {\n     display: block;\n     padding: 0px 0px 0px 20px;\n     position: fixed;\n     left: 0px;\n     top: {{!!top-leftmenu}};\n     width: {{!!leftmenu-width}};\n     z-index: 1500;\n}\n.tgc-scrollable-menu {\n\tpadding: 1em;\n\theight: {{!!scroll-height}};\n\tposition: relative;\n}\n\n/* SLIDER STYLING */\nhtml .tgc-slider {\n     color: #006DEC;\n     font-weight: bold;\n}\n\n.tgc-slider:hover {\n     color: #006DEC;\n     text-decoration: underline;\n}\n\n/* STYLING FOR DIRTREE MENU */\n\n.dirtree, .dirtree ul {\n     list-style-type: none;\n     background-image: url(data:image/gif;base64,R0lGODlhEAAQAIABAAAAAP///yH5BAEKAAEALAAAAAAQABAAAAIbRI6ppo3sGoxp0mNvpjt290nXMlblc2JpECoFADs=);\n     background-repeat: repeat-y;\n     margin: 0;\n     padding: 0;\n}\n.dirtree ul {\n     margin-left: 16px;\n}\n.dirtree li {\n     margin: 0;\n     padding: 0 16px 0 18px;\n     background-image: url(data:image/gif;base64,R0lGODlhEAAQAIABAAAAAP///yH5BAEKAAEALAAAAAAQABAAAAISjI+py+0Po5wM2IszoLz7DwYFADs=);\n     background-repeat: no-repeat;\n     line-height: 1.5;\n}\n.dirtree li:last-child {\n     background-image: url(data:image/gif;base64,R0lGODlhEAAQAIABAAAAAP///yH5BAEKAAEALAAAAAAQABAAAAIaRI6ppo3sGoxp0mNvpjuCD4Zid5XmiabqWQAAOw==);\n     background-color: #fff;\n}\n</pre>",
            "top-leftmenu": "81px",
            "title": "$:/plugins/tg/topleftmenu/left-menu-show-styles",
            "story-width": "770px",
            "story-left": "230px",
            "scroll-height": "700px",
            "modifier": "TonGerner",
            "modified": "20191230163337468",
            "leftmenu-width": "270px",
            "creator": "TonGerner",
            "created": "20150710114949541"
        },
        "$:/plugins/tg/topleftmenu/leftmenu": {
            "created": "20150710121319258",
            "creator": "TonGerner",
            "text": "<div class=\"tgc-leftmenu tc-table-of-contents\">\n\n@@.tc-site-title\nMenu\n@@\n\n<$scrollable class='tgc-scrollable-menu'>\n\n{{$:/plugins/tg/topleftmenu/leftmenu/entries}}\n\n</$scrollable>\n\n</div>",
            "modified": "20191229212731192",
            "modifier": "TonGerner",
            "tags": "$:/tags/PageTemplate",
            "title": "$:/plugins/tg/topleftmenu/leftmenu"
        },
        "$:/plugins/tg/topleftmenu/leftmenu/entries": {
            "created": "20150710160808999",
            "creator": "TonGerner",
            "text": "<!--\nFor more information about menu entries see the demo at http://tw5topleft.tiddlyspot.com/.\n-->\n\n<!-- LINKS AS MENU ENTRIES\n[[link1]]<br>\n[[link2]]<br>\n...\n-->\n\n<!-- TAGS AS MENU ENTRIES\n{{{ [tag[tag1]] }}}\n{{{ [tag[tag2]] }}}\n...\n-->\n\n<!-- TAGPILLS AS MENU ENTRIES\n{{tagpill1||$:/plugins/tg/topleftmenu/menu-template}}\n{{tagpill2||$:/plugins/tg/topleftmenu/menu-template}}\n...\n-->\n\n<!-- TOC AS MENU ENTRIES\n<<toc-selective-expandable 'Contents'>>\n-->\n\n<!-- NORMAL & DIRTREE SLIDER ENTRIES\nFor more information see http://tw5topleft.tiddlyspot.com/.\nThese entries use my slider macro\n(available in plugin - with styling)\n-->\n",
            "title": "$:/plugins/tg/topleftmenu/leftmenu/entries",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191230163735948"
        },
        "$:/plugins/tg/topleftmenu/license": {
            "created": "20180124184542700",
            "creator": "TonGerner",
            "text": "[[Top + left menu plugin|http://tongerner.tiddlyspot.com/#Top%20+%20left menu%20plugin]] &copy; Ton Gerner &mdash; 2018-2020\n\nMIT License: https://opensource.org/licenses/MIT",
            "title": "$:/plugins/tg/topleftmenu/license",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191229212823676"
        },
        "$:/plugins/tg/topleftmenu/menu-template": {
            "created": "20150710114804977",
            "creator": "TonGerner",
            "text": "<span class=\"tc-tag-list-item\">\n<$set name=\"transclusion\" value=<<currentTiddler>>>\n<$macrocall $name=\"tag-pill-body\" tag=<<currentTiddler>> icon={{!!icon}} colour={{!!color}} palette={{$:/palette}} element-tag=\"\"\"$button\"\"\" element-attributes=\"\"\"popup=<<qualify \"$:/state/popup/tag\">> dragFilter='[all[current]tagging[]]' tag='span'\"\"\"/>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\" animate=\"yes\" class=\"tc-drop-down tgc-menu-drop-down\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TagDropdown]!has[draft.of]]\" variable=\"listItem\"> \n<$transclude tiddler=<<listItem>>/> \n</$list>\n<$macrocall $name=\"list-tagged-draggable\" tag=<<currentTiddler>>/>\n</$reveal>\n</$set>\n</span>\n",
            "title": "$:/plugins/tg/topleftmenu/menu-template",
            "modifier": "TonGerner",
            "modified": "20191229212845331"
        },
        "$:/plugins/tg/topleftmenu/readme": {
            "created": "20150710115738986",
            "creator": "TonGerner",
            "text": "A plugin for a top menu and a switchable left menu.\n\nThe tiddler [[Top menu|$:/plugins/tg/topleftmenu/topmenu]] need to be populated with tag based top menu entries.\n\nThe tiddler [[Left menu|$:/plugins/tg/topleftmenu/leftmenu/entries]] need to be populated with menu entries (based on links, tags, tagpills, sliders, TOC macro, ...).\n\nFor more information see: http://tw5topleft.tiddlyspot.com/\n\n<<<\n''Note:''<br>''This plugin needs my [[$:/plugins/tg/layout]] plugin for general layout settings (available at http://tongerner.tiddlyspot.com/).''\n<<<\n\nSettings for the layout can be found in ''~ControlPanel > Appearance > [[Plugin tweaks|$:/plugins/tg/layout/tweaks]]''.\n",
            "title": "$:/plugins/tg/topleftmenu/readme",
            "modifier": "TonGerner",
            "modified": "20191229212935441"
        },
        "$:/plugins/tg/topleftmenu/settings": {
            "created": "20150710114238972",
            "creator": "TonGerner",
            "text": "!!Top-left menu\n<table class=\"tablestyle\">\n@@.brown ''General''@@\n<<tableRow \"Rounded corners\" \"$:/plugins/tg/topleftmenu/topmenu/styles\" \"border-radius\">>\n@@.brown ''Top menu''@@\n<<tableRow \"Top 'Top menu'\" \"$:/plugins/tg/topleftmenu/topmenu/styles\" \"topmenu-top\">>\n<<tableRow \"Left 'Top menu'\" \"$:/plugins/tg/topleftmenu/topmenu/styles\" \"topmenu-left\">>\n<<tableRow \"Tagpill spacing\" \"$:/plugins/tg/topleftmenu/topmenu/styles\" \"tagpill-spacing\">>\n<<tableRow \"Font-size menu\" \"$:/plugins/tg/topleftmenu/topmenu/styles\" \"menu-font-size\">>\n@@.brown ''Dropdown menu''@@\n<<tableRow \"Font-size menu entries\" \"$:/plugins/tg/topleftmenu/topmenu/styles\" \"menu-entry-font-size\">>\n<<tableRow \"Background color menu\" \"$:/plugins/tg/topleftmenu/topmenu/styles\" \"menu-background-color\">>\n<<tableRow \"Color menu entries\" \"$:/plugins/tg/topleftmenu/topmenu/styles\" \"menu-color\">>\n<<tableRow \"Hover color menu entry\" \"$:/plugins/tg/topleftmenu/topmenu/styles\" \"hover-color\">>\n<<tableRow \"Hover background color menu entry\" \"$:/plugins/tg/topleftmenu/topmenu/styles\" \"hover-background-color\">>\n@@.brown ''Left menu''@@\n<<tableRow \"Story left\" \"$:/plugins/tg/topleftmenu/left-menu-show-styles\" \"story-left\">>\n<<tableRow \"Story width\" \"$:/plugins/tg/topleftmenu/left-menu-show-styles\" \"story-width\">>\n<<tableRow \"Width 'Left menu'\" \"$:/plugins/tg/topleftmenu/left-menu-show-styles\" \"leftmenu-width\">>\n<<tableRow \"Top 'Left menu'\" \"$:/plugins/tg/topleftmenu/left-menu-show-styles\" \"top-leftmenu\">>\n<<tableRow \"Scrolling height 'Left menu'\" \"$:/plugins/tg/topleftmenu/left-menu-show-styles\" \"scroll-height\">>\n</table>\n<$button tooltip=\"Help\">\n<$action-sendmessage $message=\"tm-open-window\" $param=\"$:/plugins/tg/topleftmenu/settings-help\" height=\"740px\" width=\"700px\"/>Help</$button>",
            "title": "$:/plugins/tg/topleftmenu/settings",
            "tags": "$:/tags/plugin-tweaks",
            "order": "3",
            "modifier": "TonGerner",
            "modified": "20191229213508733",
            "caption": "Top-left menu"
        },
        "$:/plugins/tg/topleftmenu/settings-help": {
            "created": "20150710114357700",
            "creator": "TonGerner",
            "text": "|Item |Entry |Description |Default |h\n|General |Rounded corners |Main menu 'tagpills' and dropdown menu|  3px |\n|||||\n|Top menu |Top 'Top menu' |Start (from the top) of the top menu| 0px |\n|~|Left 'Top menu' |Start (from the left) of the top menu | 42px |\n|~|Tagpill spacing |Spacing between main menu entries | 0px |\n|~|Font-size menu |Font size main menu | 1.2em |\n|||||\n|Dropdown menu|Font size menu entries |Font-size of menu entries | 1em |\n|~|Background color menu |Background color dropdown menu | `<<colour background>>` |\n|~|Color menu entries |Color menu entries | `<<colour foreground>>` |\n|~|Hover color menu entry |Hover color menu entry | `<<colour background>>` |\n|~|Hover background color menu entry |Hover background color menu entry | `<<colour primary>>` |\n|||||\n|Left menu |Story left |Start (from the left) of the story | 230px |\n|~|Story width |Width of the story | 770px |\n|~|Width 'Left menu' |Width of the left menu | 270px |\n|~|Top 'Left menu' |Start (from the top) of the left menu| 81px |\n|~|Scrolling height 'Left menu'  |Scroll height of left menu | 700px |\n\n<<<\n''Note:''<br>\n@@.brown ''The color of the tag pills (= background color of the main menu entries) can be set by adding a color field to the tag.''@@\n<<<\n\n\n",
            "modified": "20191229213109525",
            "modifier": "TonGerner",
            "title": "$:/plugins/tg/topleftmenu/settings-help"
        },
        "$:/plugins/tg/topleftmenu/slider-macro": {
            "text": "\\define slidertg(label,text)\n<$button popup=\"$:/state/$label$\" class=\"tc-btn-invisible tgc-slider\"><$text text=\"$label$ »\"/></$button>\n<$reveal type=\"nomatch\" text=\"\" default=\"\" state=\"$:/state/$label$\" animate=\"yes\">\n\n{{$text$}}\n\n</$reveal>\n\\end\n",
            "title": "$:/plugins/tg/topleftmenu/slider-macro",
            "tags": "$:/tags/Macro",
            "modifier": "TonGerner",
            "modified": "20191230161629576",
            "creator": "TonGerner",
            "created": "20161206183736562"
        },
        "$:/plugins/tg/topleftmenu/topmenu": {
            "created": "20150710114656438",
            "creator": "TonGerner",
            "text": "<div class=\"tgc-topmenu\">\n{{tagpill1||$:/plugins/tg/topleftmenu/menu-template}}\n{{tagpill2||$:/plugins/tg/topleftmenu/menu-template}}\n</div>\n<!--\nA top menu with 2 'dummy' tag pills is shown above.\nReplace the dummy tags with your own tags and add more lines if needed.\n-->",
            "modified": "20191229213152837",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tg/topleftmenu/topmenu",
            "caption": "{{$:/core/images/menu-button}} top menu",
            "description": "Menu on top"
        },
        "$:/plugins/tg/topleftmenu/topmenu/styles": {
            "text": "<pre>/* TOP MENU */\n.tgc-topmenu {\n     display: block;\n     position: fixed;\n     left: 0;\n     top: 0px;\n     margin-left: {{!!topmenu-left}};\n     margin-top: {{!!topmenu-top}};\n     font-size: {{!!menu-font-size}};\n     z-index: 1500;\n}\n\n/* TOP MENU TAG PILL ENTRIES */\n/* html needed */\n     html .tgc-topmenu .tc-tag-label {\n     border-radius: {{!!border-radius}};\n}\n\n.tgc-menu-drop-down {\n     min-width: 120px;\n     background-color: {{!!menu-background-color}};\n     padding: 10px 0px;\n     border-radius: {{!!border-radius}};\n     box-shadow: 2px 2px 10px rgba(0, 0, 0, 0.5);\n     font-size: {{!!menu-entry-font-size}};\n     text-decoration: none;\n}\n\n/* TAGS DROPDOWN LISTS */\n.tc-tag-list-item .tc-drop-down a {\n     color: {{!!menu-color}};\n     font-size: {{!!menu-entry-font-size}};\n}\n\n.tc-tag-list-item .tc-drop-down a:hover {\n     color: {{!!hover-color}};\n     background-color: {{!!hover-background-color}};\n}\n\n/* TAGPILL SPACING */\n.tgc-topmenu .tc-tag-label {\n     margin-right: {{!!tagpill-spacing}};\n}\n</pre>",
            "topmenu-top": "0px",
            "topmenu-left": "42px",
            "title": "$:/plugins/tg/topleftmenu/topmenu/styles",
            "tags": "$:/tags/Stylesheet",
            "tagpill-spacing": "0px",
            "modifier": "TonGerner",
            "modified": "20191230091502944",
            "menu-font-size": "1.2em",
            "menu-entry-font-size": "1em",
            "menu-color": "<<colour foreground>>",
            "menu-background-color": "<<colour background>>",
            "hover-color": "<<colour background>>",
            "hover-background-color": "<<colour primary>>",
            "creator": "TonGerner",
            "created": "20150710115625284",
            "border-radius": "3px"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/tg/topmenu/help": {
            "created": "20170615111129252",
            "text": "\\define source(tiddler)\n<pre><$view tiddler=\"$tiddler$\" format=\"text\"/></pre>\n\\end\n\nThe [[top menu|$:/plugins/tg/topmenu/topmenu]] needs to be populated with tag based entries. The [[top menu|$:/plugins/tg/topmenu/topmenu]] contains:\n\n<<source $:/plugins/tg/topmenu/topmenu>>\n\nMenu entries need to te tagged with `tagpill1`, `tagpill2`, ...\n\n<<<\n''Note:''\n\n* The order of the menu entries can be changed by drag & drop\n* The color of the main menu items (tagpills) can be changed by adding a color field to the tags\n<<<",
            "title": "$:/plugins/tg/topmenu/help",
            "tags": "",
            "modified": "20191230105500297"
        },
        "$:/plugins/tg/topmenu/icon": {
            "text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 100 100\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:svg=\"http://www.w3.org/2000/svg\">\n<path fill=\"#a0a0ff\" stroke=\"#a0a0ff\" stroke-width=\"1.2218\" stroke-miterlimit=\"4\" id=\"path4142\" d=\"m48.98237,97.8691l-41.98313,-24.239l0,-48.47796l41.98313,-24.23897l41.98313,24.23897l0,48.47796l-41.98313,24.239z\"/>\n<path id=\"path5447\" d=\"m20.63027,34.25617l56.7551,0c2.61074,0 4.72959,-2.11886 4.72959,-4.72959c0,-2.61073 -2.11885,-4.72959 -4.72959,-4.72959l-56.7551,0c-2.61073,0 -4.72959,2.11886 -4.72959,4.72959c0,2.61073 2.11886,4.72959 4.72959,4.72959zm56.7551,9.45914l-56.7551,0c-2.61073,0 -4.72959,2.1189 -4.72959,4.72959c0,2.6108 2.11886,4.7296 4.72959,4.7296l56.7551,0c2.61074,0 4.72959,-2.1188 4.72959,-4.7296c0,-2.61069 -2.11885,-4.72959 -4.72959,-4.72959zm0,18.91839l-56.7551,0c-2.61073,0 -4.72959,2.1189 -4.72959,4.7296c0,2.6107 2.11886,4.7296 4.72959,4.7296l56.7551,0c2.61074,0 4.72959,-2.1189 4.72959,-4.7296c0,-2.6107 -2.11885,-4.7296 -4.72959,-4.7296z\"/>\n</svg>",
            "type": "image/svg+xml",
            "title": "$:/plugins/tg/topmenu/icon",
            "modified": "20191230095735280",
            "created": "20160109210345621"
        },
        "$:/plugins/tg/topmenu/license": {
            "text": "[[Top menu plugin|http://tongerner.tiddlyspot.com/#Top%20menu%20plugin]] &copy; Ton Gerner &mdash; 2018-2020\n\nMIT License: https://opensource.org/licenses/MIT",
            "title": "$:/plugins/tg/topmenu/license",
            "tags": "",
            "modified": "20191230095759548",
            "created": "20180124185811291"
        },
        "$:/plugins/tg/topmenu/menu-template": {
            "text": "<span class=\"tc-tag-list-item\">\n<$set name=\"transclusion\" value=<<currentTiddler>>>\n<$macrocall $name=\"tag-pill-body\" tag=<<currentTiddler>> icon={{!!icon}} colour={{!!color}} palette={{$:/palette}} element-tag=\"\"\"$button\"\"\" element-attributes=\"\"\"popup=<<qualify \"$:/state/popup/tag\">> dragFilter='[all[current]tagging[]]' tag='span'\"\"\"/>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\" animate=\"yes\" class=\"tc-drop-down tgc-menu-drop-down\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TagDropdown]!has[draft.of]]\" variable=\"listItem\"> \n<$transclude tiddler=<<listItem>>/> \n</$list>\n<$macrocall $name=\"list-tagged-draggable\" tag=<<currentTiddler>>/>\n</$reveal>\n</$set>\n</span>\n",
            "title": "$:/plugins/tg/topmenu/menu-template",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191230095818405",
            "creator": "TonGerner",
            "created": "20150630194215349"
        },
        "$:/plugins/tg/topmenu/readme": {
            "text": "This plugin adds a top menu.\n\nThe tiddler [[Top menu|$:/plugins/tg/topmenu/topmenu]] need to be populated with tag based top menu entries.\n\nFor more information see: http://tw5topmenu.tiddlyspot.com/\n\n<<<\n''Note:''<br>''This plugin needs my $:/plugins/tg/layout plugin for general layout settings (available at http://tongerner.tiddlyspot.com/).''\n<<<\n\nSettings for the layout can be found in ''~ControlPanel > Appearance > [[Plugin tweaks|$:/plugins/tg/layout/tweaks]]''.\n",
            "title": "$:/plugins/tg/topmenu/readme",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191230095915420",
            "creator": "TonGerner",
            "created": "20150701112855953"
        },
        "$:/plugins/tg/topmenu/settings": {
            "text": "!!Top menu settings\n<table class=\"tablestyle\">\n@@.brown ''General''@@\n<<tableRow \"Rounded corners\" \"$:/plugins/tg/topmenu/styles\" \"border-radius\">>\n@@.brown ''Top menu''@@\n<<tableRow \"Top 'Top menu'\" \"$:/plugins/tg/topmenu/styles\" \"topmenu-top\">>\n<<tableRow \"Left 'Top menu'\" \"$:/plugins/tg/topmenu/styles\" \"topmenu-left\">>\n<<tableRow \"Tagpill spacing\" \"$:/plugins/tg/topmenu/styles\" \"tagpill-spacing\">>\n<<tableRow \"Font-size menu\" \"$:/plugins/tg/topmenu/styles\" \"menu-font-size\">>\n@@.brown ''Dropdown menu''@@\n<<tableRow \"Font-size menu entries\" \"$:/plugins/tg/topmenu/styles\" \"menu-entry-font-size\">>\n<<tableRow \"Background color menu\" \"$:/plugins/tg/topmenu/styles\" \"menu-background-color\">>\n<<tableRow \"Color menu entries\" \"$:/plugins/tg/topmenu/styles\" \"menu-color\">>\n<<tableRow \"Hover color menu entry\" \"$:/plugins/tg/topmenu/styles\" \"hover-color\">>\n<<tableRow \"Hover background color menu entry\" \"$:/plugins/tg/topmenu/styles\" \"hover-background-color\">>\n\n</table>\n<$button tooltip=\"Help\">\n<$action-sendmessage $message=\"tm-open-window\" $param=\"$:/plugins/tg/topmenu/settings-help\" height=\"550px\" width=\"800px\"/>Help</$button>",
            "title": "$:/plugins/tg/topmenu/settings",
            "tags": "$:/tags/plugin-tweaks",
            "order": "4",
            "modifier": "TonGerner",
            "modified": "20191230100011231",
            "creator": "TonGerner",
            "created": "20160111185911104",
            "caption": "Top menu"
        },
        "$:/plugins/tg/topmenu/settings-help": {
            "text": "|Item |Entry |Description |Default |h\n|General |Rounded corners |Main menu 'tagpills' and dropdown menu|  3px |\n|||||\n|Top menu |Top 'Top menu' |Start (from the top) of the top menu| 0px |\n|~|Left 'Top menu' |Start (from the left) of the top menu | 42px |\n|~|Tagpill spacing |Spacing between main menu entries | 0px |\n|~|Font-size menu |Font size main menu | 1.2em |\n|||||\n|Dropdown menu|Font size menu entries |Font-size of menu entries | 1em |\n|~|Background color menu |Background color dropdown menu | `<<colour background>>` |\n|~|Color menu entries |Color menu entries | `<<colour foreground>>` |\n|~|Hover color menu entry |Hover color menu entry | `<<colour background>>` |\n|~|Hover background color menu entry |Hover background color menu entry | `<<colour primary>>` |\n\n<<<\n''Note:''<br>\n@@.brown ''The color of the tag pills (= background color of the main menu entries) can be set by adding a color field to the tag.''@@\n<<<",
            "title": "$:/plugins/tg/topmenu/settings-help",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191230100033151",
            "creator": "TonGerner",
            "created": "20150701110844646"
        },
        "$:/plugins/tg/topmenu/styles": {
            "text": "<pre>/* TOP MENU */\n.tgc-topmenu {\n     display: block;\n     position: fixed;\n     left: 0;\n     top: 0px;\n     margin-left: {{!!topmenu-left}};\n     margin-top: {{!!topmenu-top}};\n     font-size: {{!!menu-font-size}};\n     z-index: 1500;\n}\n\n/* TOP MENU TAG PILL ENTRIES */\n/* html needed */\nhtml .tgc-topmenu .tc-tag-label {\n     border-radius: {{!!border-radius}};\n}\n\n.tgc-menu-drop-down {\n     min-width: 120px;\n     background-color: {{!!menu-background-color}};\n     padding: 10px 0px;\n     border-radius: {{!!border-radius}};\n     box-shadow: 2px 2px 10px rgba(0, 0, 0, 0.5);\n     font-size: {{!!menu-entry-font-size}};\ntext-decoration: none;\n}\n\n/* TAGS DROPDOWN LISTS */\n.tc-tag-list-item .tc-drop-down a {\n     color: {{!!menu-color}};\n     font-size: {{!!menu-entry-font-size}};\n}\n\n.tc-tag-list-item .tc-drop-down a:hover {\n     color: {{!!hover-color}};\nbackground-color: {{!!hover-background-color}};\n}\n\n/* TAGPILL SPACING */\n.tgc-topmenu .tc-tag-label {\n     margin-right: {{!!tagpill-spacing}};\n}\n</pre>",
            "topmenu-top": "0px",
            "topmenu-left": "42px",
            "title": "$:/plugins/tg/topmenu/styles",
            "tags": "$:/tags/Stylesheet",
            "tagpill-spacing": "0px",
            "modifier": "TonGerner",
            "modified": "20191230100048028",
            "menu-font-size": "1.2em",
            "menu-entry-font-size": "1em",
            "menu-color": "<<colour foreground>>",
            "menu-background-color": "<<colour background>>",
            "list-after": "$:/themes/tiddlywiki/vanilla/base",
            "hover-color": "<<colour background>>",
            "hover-background-color": "<<colour primary>>",
            "creator": "TonGerner",
            "created": "20160112193603578",
            "button-border-radius": "3px",
            "border-radius": "3px"
        },
        "$:/plugins/tg/topmenu/topmenu": {
            "text": "<div class=\"tgc-topmenu\">\n{{tagpill1||$:/plugins/tg/topmenu/menu-template}}\n{{tagpill2||$:/plugins/tg/topmenu/menu-template}}\n</div>\n<!--\nA top menu with 2 'dummy' tag pills is shown above.\nReplace the dummy tags with your own tags and add more lines if needed.\n-->",
            "title": "$:/plugins/tg/topmenu/topmenu",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20191230100112576",
            "description": "Menu on top",
            "creator": "TonGerner",
            "created": "20150630194341608",
            "caption": "{{$:/core/images/menu-button}} top menu"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/tg/tristate/fluid-width-macro": {
            "created": "20140907193724930",
            "creator": "TonGerner",
            "text": "\\define if-fluid(text)\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"fluid-width\" default=\"yes\">$text$</$reveal>\n\\end",
            "modified": "20191230115804016",
            "modifier": "TonGerner",
            "tags": "$:/tags/Macro",
            "title": "$:/plugins/tg/tristate/fluid-width-macro"
        },
        "$:/plugins/tg/tristate/icon": {
            "created": "20160109193157153",
            "creator": "TonGerner",
            "text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 100 100\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:svg=\"http://www.w3.org/2000/svg\">\n<path fill=\"#a0a0ff\" stroke=\"#a0a0ff\" stroke-width=\"1.2218\" stroke-miterlimit=\"4\" id=\"path4142\" d=\"m48.98237,97.8691l-41.98313,-24.239l0,-48.47796l41.98313,-24.23897l41.98313,24.23897l0,48.47796l-41.98313,24.239z\"/>\n<path id=\"path4763\" d=\"m45.12279,26.46489c-1.80024,2.02271 -3.94336,4.46302 -4.77202,5.38631l-1.48589,1.71475l3.3147,0l3.28613,0l-0.05727,10.37688l-0.08577,10.39867l-2.02881,0.066c-1.40018,0.043 -2.11455,-0.029 -2.31458,-0.2187c-0.17153,-0.1525 -0.57149,-1.1872 -0.91439,-2.2866c-0.60007,-1.8247 -2.42886,-6.15559 -4.51485,-10.55271c-0.48579,-0.96732 -1.7145,-3.05565 -2.74321,-4.66075c-1.05729,-1.58265 -1.91452,-2.9457 -1.91452,-3.0119c0,-0.0662 1.02871,-0.10936 2.28599,-0.10936c1.25732,0 2.286,-0.0892 2.286,-0.19859c0,-0.0892 -1.00013,-0.92328 -2.20029,-1.80254c-4.34341,-3.18775 -8.05816,-5.05648 -12.00149,-6.11187c-3.02897,-0.79146 -3.97194,-0.87925 -3.54331,-0.30766c0.17153,0.21873 0.82868,0.83522 1.48589,1.38493c4.34341,3.62752 12.05865,15.45523 14.94473,22.86425c0.85726,2.2641 1.91452,5.4081 1.85739,5.6499c-0.02878,0.089 0,0.2648 0.02878,0.3957c0.11426,0.3958 0.20002,0.8574 0.22852,1.473l0.05727,0.6156l4.57198,0l4.57202,0l0,13.8505l0,13.8501l3.00036,0l3.00039,0l0,-13.8501l0,-13.8505l4.57198,0l4.57199,0l0,-0.5715c0,-0.8355 1.54305,-5.6062 2.71463,-8.4423c1.6002,-3.75927 3.28612,-6.88112 6.34364,-11.62993c3.65759,-5.69398 6.34364,-9.01354 9.02971,-11.19023c1.143,-0.90112 1.143,-0.92328 0.45718,-0.92328c-2.20028,0 -7.25806,1.78066 -10.65847,3.73746c-3.00039,1.71475 -7.08661,4.59484 -6.88659,4.85847c0.11426,0.10937 1.20016,0.19859 2.45744,0.19859l2.31457,0l-1.62878,2.35253c-1.34302,1.95651 -4.40054,7.25504 -4.40054,7.65049c0,0.0662 -0.71437,1.78095 -1.54305,3.8034c-0.85726,2.0226 -1.80023,4.4411 -2.08597,5.3644l-0.54292,1.7147l-2.34315,0l-2.37173,0l0,-10.44273l0,-10.44279l3.0861,0c1.71449,0 3.17183,-0.0662 3.25754,-0.13239c0.20003,-0.1324 -8.80111,-10.48654 -9.17258,-10.59648c-0.14275,-0.0432 -1.7145,1.60481 -3.51473,3.62752l0,0l-0.00002,-0.00124z\"/>\n</svg>",
            "type": "image/svg+xml",
            "title": "$:/plugins/tg/tristate/icon",
            "modifier": "TonGerner",
            "modified": "20191230115822324"
        },
        "$:/plugins/tg/tristate/license": {
            "created": "20180124193700068",
            "creator": "TonGerner",
            "text": "[[Tristate plugin|http://tongerner.tiddlyspot.com/#Tristate%20plugin]] &copy; Ton Gerner &mdash; 2018-2020\n\nMIT License: https://opensource.org/licenses/MIT",
            "title": "$:/plugins/tg/tristate/license",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20191230115906114"
        },
        "$:/plugins/tg/tristate/readme": {
            "created": "20140907194057629",
            "creator": "TonGerner",
            "text": "This plugin is meant for widescreen monitors.<br>It changes the standard 'twostate' (<<icn $:/core/images/chevron-right>> / <<icn $:/core/images/chevron-left>>) functionality of the Sidebar to a 'tristate' (<<icn $:/core/images/right-arrow>> / <<icn $:/core/images/chevron-right>> / <<icn $:/core/images/chevron-left>>) functionality:\n\n# normal tiddler width (default 686px) with a broad Sidebar (showing <<icn $:/core/images/right-arrow>>).\n# small Sidebar (with programmable width; default 30em) and fluid tiddler width (showing <<icn $:/core/images/chevron-right>>).\n# fluid tiddler width without Sidebar (showing <<icn $:/core/images/chevron-left>>).\n\n<<<\n''Note:''\n\n* ''This plugin needs my $:/plugins/tg/layout plugin for general layout settings (available at http://tongerner.tiddlyspot.com/).''\n* Sidebar layout (''~ControlPanel > Appearance > Theme Tweaks: Options'') @@color:red;must@@ be set at 'Fixed story, fluid sidebar'<br>('Fluid story, fixed sidebar' interferes with the Tristate plugin!)\n* The Sidebar width (default 30em) can be configured in [[Tristate width|$:/plugins/tg/tristate/settings]] (can also be found in ''~ControlPanel > Appearance > [[Plugin tweaks|$:/plugins/tg/layout/tweaks]], tab 'Tristate''').\n<<<\n",
            "modified": "20200316130559627",
            "modifier": "TonGerner",
            "title": "$:/plugins/tg/tristate/readme"
        },
        "$:/plugins/tg/tristate/settings": {
            "created": "20140907193931322",
            "creator": "TonGerner",
            "text": "!!Tristate settings\n<table class=\"tablestyle\">\n<<tableRow \"Sidebar width \" \"$:/plugins/tg/tristate/stylesheet\" \"sidebar-width\">>\n</table>\n",
            "caption": "Tristate",
            "modified": "20191230120210461",
            "modifier": "TonGerner",
            "tags": "$:/tags/plugin-tweaks",
            "title": "$:/plugins/tg/tristate/settings",
            "order": "10"
        },
        "$:/plugins/tg/tristate/stylesheet": {
            "created": "20140907193809552",
            "creator": "TonGerner",
            "text": "<pre><<if-fluid \"\n\n.tc-story-river {\n     width: calc(100% - {{!!sidebar-width}});\n}\n\n.tc-tiddler-frame {\n     width: 100%;\n}\n\n.tc-sidebar-scrollable {\n     float: right;\n     width: {{!!sidebar-width}};\n     left: auto;\n     padding: 71px 0 0 0;\n}\n\n.tc-storyview-zoomin-tiddler {\n     position: absolute;\n     display: block;\n     width: 100%;\n     width: calc(100% - 84px);\n}\n\">>\n</pre>",
            "list-after": "$:/themes/tiddlywiki/vanilla/base",
            "modified": "20191230120237219",
            "modifier": "TonGerner",
            "sidebar-width": "30em",
            "tags": "$:/tags/Stylesheet",
            "title": "$:/plugins/tg/tristate/stylesheet"
        },
        "$:/state/sidebar": {
            "text": "yes",
            "title": "$:/state/sidebar",
            "modifier": "TonGerner",
            "modified": "20191230120817451",
            "creator": "TonGerner",
            "created": "20160725112947956"
        },
        "$:/core/ui/PageTemplate/sidebar": {
            "text": "<$scrollable fallthrough=\"no\" class=\"tc-sidebar-scrollable\">\n\n<div class=\"tc-sidebar-header\">\n\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"no\" default=\"no\">\n\n<h1 class=\"tc-site-title\">\n\n<$transclude tiddler=\"$:/SiteTitle\" mode=\"inline\"/>\n\n</h1>\n\n<div class=\"tc-site-subtitle\">\n\n<$transclude tiddler=\"$:/SiteSubtitle\" mode=\"inline\"/>\n\n</div>\n\n{{||$:/core/ui/PageTemplate/pagecontrols}}\n\n<$transclude tiddler=\"$:/core/ui/SideBarLists\" mode=\"inline\"/>\n\n</$reveal>\n\n</div>\n\n</$scrollable>",
            "created": "20150719161218144",
            "modified": "20150719161221992",
            "tags": "$:/tags/PageTemplate",
            "title": "$:/core/ui/PageTemplate/sidebar"
        },
        "$:/core/ui/TopBar/menu": {
            "created": "20140906123741743",
            "creator": "TonGerner",
            "text": "<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\">\n<$button set=\"$:/state/sidebar\" setTo=\"fluid-width\" tooltip=\"Fluid-width\" class=\"tc-btn-invisible\">{{$:/core/images/right-arrow}}</$button>\n</$reveal>\n\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"fluid-width\">\n<$button set=\"$:/state/sidebar\" setTo=\"no\" tooltip={{$:/language/Buttons/HideSideBar/Hint}} aria-label={{$:/language/Buttons/HideSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}}</$button>\n</$reveal>\n\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"no\">\n<$button set=\"$:/state/sidebar\" setTo=\"yes\" tooltip={{$:/language/Buttons/ShowSideBar/Hint}} aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-left}}</$button>\n</$reveal>\n",
            "modified": "20150719161036493",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopRightBar",
            "title": "$:/core/ui/TopBar/menu"
        },
        "$:/plugins/tg/tristate/macros/doc": {
            "created": "20200316130052575",
            "creator": "TonGerner",
            "text": "\\define icn(icon)\n<button class=\"tc-btn-invisible\"> {{$icon$}}</button>\n\\end\n",
            "title": "$:/plugins/tg/tristate/macros/doc",
            "tags": "$:/tags/Macro",
            "modified": "20200316130333107",
            "modifier": "TonGerner"
        }
    }
}

{
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            "text": "javascript"
        },
        "$:/config/HighlightPlugin/TypeMappings/application/json": {
            "title": "$:/config/HighlightPlugin/TypeMappings/application/json",
            "text": "json"
        },
        "$:/config/HighlightPlugin/TypeMappings/text/css": {
            "title": "$:/config/HighlightPlugin/TypeMappings/text/css",
            "text": "css"
        },
        "$:/config/HighlightPlugin/TypeMappings/text/html": {
            "title": "$:/config/HighlightPlugin/TypeMappings/text/html",
            "text": "html"
        },
        "$:/config/HighlightPlugin/TypeMappings/image/svg+xml": {
            "title": "$:/config/HighlightPlugin/TypeMappings/image/svg+xml",
            "text": "xml"
        },
        "$:/config/HighlightPlugin/TypeMappings/text/x-markdown": {
            "title": "$:/config/HighlightPlugin/TypeMappings/text/x-markdown",
            "text": "markdown"
        },
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BooleanVariables BorderDimensions BorelTannerDistribution Bottom BottomHatTransform BoundaryDiscretizeGraphics BoundaryDiscretizeRegion BoundaryMesh BoundaryMeshRegion BoundaryMeshRegionQ BoundaryStyle BoundedRegionQ BoundingRegion Bounds Box BoxBaselineShift BoxData BoxDimensions Boxed Boxes BoxForm BoxFormFormatTypes BoxFrame BoxID BoxMargins BoxMatrix BoxObject BoxRatios BoxRotation BoxRotationPoint BoxStyle BoxWhiskerChart Bra BracketingBar BraKet BrayCurtisDistance BreadthFirstScan Break BridgeData BrightnessEqualize BroadcastStationData Brown BrownForsytheTest BrownianBridgeProcess BrowserCategory BSplineBasis BSplineCurve BSplineCurve3DBox BSplineCurve3DBoxOptions BSplineCurveBox BSplineCurveBoxOptions BSplineFunction BSplineSurface BSplineSurface3DBox BSplineSurface3DBoxOptions BubbleChart BubbleChart3D BubbleScale BubbleSizes BuildingData BulletGauge BusinessDayQ ButterflyGraph ButterworthFilterModel Button ButtonBar ButtonBox ButtonBoxOptions ButtonCell ButtonContents ButtonData ButtonEvaluator ButtonExpandable ButtonFrame ButtonFunction ButtonMargins ButtonMinHeight ButtonNote ButtonNotebook ButtonSource ButtonStyle ButtonStyleMenuListing Byte ByteArray ByteArrayFormat ByteArrayQ ByteArrayToString ByteCount ByteOrderingC CachedValue CacheGraphics CachePersistence CalendarConvert CalendarData CalendarType Callout CalloutMarker CalloutStyle CallPacket CanberraDistance Cancel CancelButton CandlestickChart CanonicalGraph CanonicalizePolygon CanonicalizePolyhedron CanonicalName CanonicalWarpingCorrespondence CanonicalWarpingDistance CantorMesh CantorStaircase Cap CapForm CapitalDifferentialD Capitalize CapsuleShape CaptureRunning CardinalBSplineBasis CarlemanLinearize CarmichaelLambda CaseOrdering Cases CaseSensitive Cashflow Casoratian Catalan CatalanNumber Catch Catenate CatenateLayer CauchyDistribution CauchyWindow CayleyGraph CDF CDFDeploy CDFInformation CDFWavelet Ceiling CelestialSystem Cell CellAutoOverwrite CellBaseline CellBoundingBox CellBracketOptions CellChangeTimes CellContents CellContext CellDingbat CellDynamicExpression CellEditDuplicate CellElementsBoundingBox CellElementSpacings CellEpilog CellEvaluationDuplicate CellEvaluationFunction CellEvaluationLanguage CellEventActions CellFrame CellFrameColor CellFrameLabelMargins CellFrameLabels CellFrameMargins CellGroup CellGroupData CellGrouping CellGroupingRules CellHorizontalScrolling CellID CellLabel CellLabelAutoDelete CellLabelMargins CellLabelPositioning CellLabelStyle CellLabelTemplate CellMargins CellObject CellOpen CellPrint CellProlog Cells CellSize CellStyle CellTags CellularAutomaton CensoredDistribution Censoring Center CenterArray CenterDot CentralFeature CentralMoment CentralMomentGeneratingFunction Cepstrogram CepstrogramArray CepstrumArray CForm ChampernowneNumber ChangeOptions ChannelBase ChannelBrokerAction ChannelDatabin ChannelHistoryLength ChannelListen ChannelListener ChannelListeners ChannelListenerWait ChannelObject ChannelPreSendFunction ChannelReceiverFunction ChannelSend ChannelSubscribers ChanVeseBinarize Character CharacterCounts CharacterEncoding CharacterEncodingsPath CharacteristicFunction CharacteristicPolynomial CharacterName CharacterRange Characters ChartBaseStyle ChartElementData ChartElementDataFunction ChartElementFunction ChartElements ChartLabels ChartLayout ChartLegends ChartStyle Chebyshev1FilterModel Chebyshev2FilterModel ChebyshevDistance ChebyshevT ChebyshevU Check CheckAbort CheckAll Checkbox CheckboxBar CheckboxBox CheckboxBoxOptions ChemicalData ChessboardDistance ChiDistribution ChineseRemainder ChiSquareDistribution ChoiceButtons ChoiceDialog CholeskyDecomposition Chop ChromaticityPlot ChromaticityPlot3D ChromaticPolynomial Circle CircleBox CircleDot CircleMinus CirclePlus CirclePoints CircleThrough CircleTimes CirculantGraph CircularOrthogonalMatrixDistribution CircularQuaternionMatrixDistribution CircularRealMatrixDistribution CircularSymplecticMatrixDistribution CircularUnitaryMatrixDistribution Circumsphere CityData ClassifierFunction ClassifierInformation ClassifierMeasurements ClassifierMeasurementsObject Classify ClassPriors Clear ClearAll ClearAttributes ClearCookies ClearPermissions ClearSystemCache ClebschGordan ClickPane Clip ClipboardNotebook ClipFill ClippingStyle ClipPlanes ClipPlanesStyle ClipRange Clock ClockGauge ClockwiseContourIntegral Close Closed CloseKernels ClosenessCentrality Closing ClosingAutoSave ClosingEvent CloudAccountData CloudBase CloudConnect CloudDeploy CloudDirectory CloudDisconnect CloudEvaluate CloudExport CloudExpression CloudExpressions CloudFunction CloudGet CloudImport CloudLoggingData CloudObject CloudObjectInformation CloudObjectInformationData CloudObjectNameFormat CloudObjects CloudObjectURLType CloudPublish CloudPut CloudRenderingMethod CloudSave CloudShare CloudSubmit CloudSymbol CloudUnshare ClusterClassify ClusterDissimilarityFunction ClusteringComponents ClusteringTree CMYKColor Coarse CodeAssistOptions Coefficient CoefficientArrays CoefficientDomain CoefficientList CoefficientRules CoifletWavelet Collect Colon ColonForm ColorBalance ColorCombine ColorConvert ColorCoverage ColorData ColorDataFunction ColorDetect ColorDistance ColorFunction ColorFunctionScaling Colorize ColorNegate ColorOutput ColorProfileData ColorQ ColorQuantize ColorReplace ColorRules ColorSelectorSettings ColorSeparate ColorSetter ColorSetterBox ColorSetterBoxOptions ColorSlider ColorsNear ColorSpace ColorToneMapping Column ColumnAlignments ColumnBackgrounds ColumnForm ColumnLines ColumnsEqual ColumnSpacings ColumnWidths CombinedEntityClass CombinerFunction CometData CommonDefaultFormatTypes Commonest CommonestFilter CommonName CommonUnits CommunityBoundaryStyle CommunityGraphPlot CommunityLabels CommunityRegionStyle CompanyData CompatibleUnitQ CompilationOptions CompilationTarget Compile Compiled CompiledCodeFunction CompiledFunction CompilerOptions Complement CompleteGraph CompleteGraphQ CompleteKaryTree CompletionsListPacket Complex Complexes ComplexExpand ComplexInfinity ComplexityFunction ComplexListPlot ComplexPlot ComplexPlot3D ComponentMeasurements ComponentwiseContextMenu Compose ComposeList ComposeSeries CompositeQ Composition CompoundElement CompoundExpression CompoundPoissonDistribution CompoundPoissonProcess CompoundRenewalProcess Compress CompressedData ComputeUncertainty Condition ConditionalExpression Conditioned Cone ConeBox ConfidenceLevel ConfidenceRange ConfidenceTransform ConfigurationPath ConformAudio ConformImages Congruent ConicHullRegion ConicHullRegion3DBox ConicHullRegionBox ConicOptimization Conjugate ConjugateTranspose Conjunction Connect ConnectedComponents ConnectedGraphComponents ConnectedGraphQ ConnectedMeshComponents ConnectedMoleculeComponents ConnectedMoleculeQ ConnectionSettings ConnectLibraryCallbackFunction ConnectSystemModelComponents ConnesWindow ConoverTest ConsoleMessage ConsoleMessagePacket ConsolePrint Constant ConstantArray ConstantArrayLayer ConstantImage ConstantPlusLayer ConstantRegionQ Constants ConstantTimesLayer ConstellationData ConstrainedMax ConstrainedMin Construct Containing ContainsAll ContainsAny ContainsExactly ContainsNone ContainsOnly ContentFieldOptions ContentLocationFunction ContentObject ContentPadding ContentsBoundingBox ContentSelectable ContentSize Context ContextMenu Contexts ContextToFileName Continuation Continue ContinuedFraction ContinuedFractionK ContinuousAction ContinuousMarkovProcess ContinuousTask ContinuousTimeModelQ ContinuousWaveletData ContinuousWaveletTransform ContourDetect ContourGraphics ContourIntegral ContourLabels ContourLines ContourPlot ContourPlot3D Contours ContourShading ContourSmoothing ContourStyle ContraharmonicMean ContrastiveLossLayer Control ControlActive ControlAlignment ControlGroupContentsBox ControllabilityGramian ControllabilityMatrix ControllableDecomposition ControllableModelQ ControllerDuration ControllerInformation ControllerInformationData ControllerLinking ControllerManipulate ControllerMethod ControllerPath ControllerState ControlPlacement ControlsRendering ControlType Convergents ConversionOptions ConversionRules ConvertToBitmapPacket ConvertToPostScript ConvertToPostScriptPacket ConvexHullMesh ConvexPolygonQ ConvexPolyhedronQ ConvolutionLayer Convolve ConwayGroupCo1 ConwayGroupCo2 ConwayGroupCo3 CookieFunction Cookies CoordinateBoundingBox CoordinateBoundingBoxArray CoordinateBounds CoordinateBoundsArray CoordinateChartData CoordinatesToolOptions CoordinateTransform CoordinateTransformData CoprimeQ Coproduct CopulaDistribution Copyable CopyDatabin CopyDirectory CopyFile CopyTag CopyToClipboard CornerFilter CornerNeighbors Correlation CorrelationDistance CorrelationFunction CorrelationTest Cos Cosh CoshIntegral CosineDistance CosineWindow CosIntegral Cot Coth Count CountDistinct CountDistinctBy CounterAssignments CounterBox CounterBoxOptions CounterClockwiseContourIntegral CounterEvaluator CounterFunction CounterIncrements CounterStyle CounterStyleMenuListing CountRoots CountryData Counts CountsBy Covariance CovarianceEstimatorFunction CovarianceFunction CoxianDistribution CoxIngersollRossProcess CoxModel CoxModelFit CramerVonMisesTest CreateArchive CreateCellID CreateChannel CreateCloudExpression CreateDatabin CreateDataSystemModel CreateDialog CreateDirectory CreateDocument CreateFile CreateIntermediateDirectories CreateManagedLibraryExpression CreateNotebook CreatePalette CreatePalettePacket CreatePermissionsGroup CreateScheduledTask CreateSearchIndex CreateSystemModel CreateTemporary CreateUUID CreateWindow CriterionFunction CriticalityFailureImportance CriticalitySuccessImportance CriticalSection Cross CrossEntropyLossLayer CrossingCount CrossingDetect CrossingPolygon CrossMatrix Csc Csch CTCLossLayer Cube CubeRoot Cubics Cuboid CuboidBox Cumulant CumulantGeneratingFunction Cup CupCap Curl CurlyDoubleQuote CurlyQuote CurrencyConvert CurrentDate CurrentImage CurrentlySpeakingPacket CurrentNotebookImage CurrentScreenImage CurrentValue Curry CurvatureFlowFilter CurveClosed Cyan CycleGraph CycleIndexPolynomial Cycles CyclicGroup Cyclotomic Cylinder CylinderBox CylindricalDecompositionD DagumDistribution DamData DamerauLevenshteinDistance DampingFactor Darker Dashed Dashing DatabaseConnect DatabaseDisconnect DatabaseReference Databin DatabinAdd DatabinRemove Databins DatabinUpload DataCompression DataDistribution DataRange DataReversed Dataset Date DateBounds Dated DateDelimiters DateDifference DatedUnit DateFormat DateFunction DateHistogram DateList DateListLogPlot DateListPlot DateListStepPlot DateObject DateObjectQ DateOverlapsQ DatePattern DatePlus DateRange DateReduction DateString DateTicksFormat DateValue DateWithinQ DaubechiesWavelet DavisDistribution DawsonF DayCount DayCountConvention DayHemisphere DaylightQ DayMatchQ DayName DayNightTerminator DayPlus DayRange DayRound DeBruijnGraph DeBruijnSequence Debug DebugTag Decapitalize Decimal DecimalForm DeclareKnownSymbols DeclarePackage Decompose DeconvolutionLayer Decrement Decrypt DecryptFile DedekindEta DeepSpaceProbeData Default DefaultAxesStyle DefaultBaseStyle DefaultBoxStyle DefaultButton DefaultColor DefaultControlPlacement DefaultDuplicateCellStyle DefaultDuration DefaultElement DefaultFaceGridsStyle DefaultFieldHintStyle DefaultFont DefaultFontProperties DefaultFormatType DefaultFormatTypeForStyle DefaultFrameStyle DefaultFrameTicksStyle DefaultGridLinesStyle DefaultInlineFormatType DefaultInputFormatType DefaultLabelStyle DefaultMenuStyle DefaultNaturalLanguage DefaultNewCellStyle DefaultNewInlineCellStyle DefaultNotebook DefaultOptions DefaultOutputFormatType DefaultPrintPrecision DefaultStyle DefaultStyleDefinitions DefaultTextFormatType DefaultTextInlineFormatType DefaultTicksStyle DefaultTooltipStyle DefaultValue DefaultValues Defer DefineExternal DefineInputStreamMethod DefineOutputStreamMethod DefineResourceFunction Definition Degree DegreeCentrality DegreeGraphDistribution DegreeLexicographic DegreeReverseLexicographic DEigensystem DEigenvalues Deinitialization Del DelaunayMesh Delayed Deletable Delete DeleteAnomalies DeleteBorderComponents DeleteCases DeleteChannel DeleteCloudExpression DeleteContents DeleteDirectory DeleteDuplicates DeleteDuplicatesBy DeleteFile DeleteMissing DeleteObject DeletePermissionsKey DeleteSearchIndex DeleteSmallComponents DeleteStopwords DeleteWithContents DeletionWarning DelimitedArray DelimitedSequence Delimiter DelimiterFlashTime DelimiterMatching Delimiters DeliveryFunction Dendrogram Denominator DensityGraphics DensityHistogram DensityPlot DensityPlot3D DependentVariables Deploy Deployed Depth DepthFirstScan Derivative DerivativeFilter DerivedKey DescriptorStateSpace DesignMatrix DestroyAfterEvaluation Det DeviceClose DeviceConfigure DeviceExecute DeviceExecuteAsynchronous DeviceObject DeviceOpen DeviceOpenQ DeviceRead DeviceReadBuffer DeviceReadLatest DeviceReadList DeviceReadTimeSeries Devices DeviceStreams DeviceWrite DeviceWriteBuffer DGaussianWavelet DiacriticalPositioning Diagonal DiagonalizableMatrixQ DiagonalMatrix DiagonalMatrixQ Dialog DialogIndent DialogInput DialogLevel DialogNotebook DialogProlog DialogReturn DialogSymbols Diamond DiamondMatrix DiceDissimilarity DictionaryLookup DictionaryWordQ DifferenceDelta DifferenceOrder DifferenceQuotient DifferenceRoot DifferenceRootReduce Differences DifferentialD DifferentialRoot DifferentialRootReduce DifferentiatorFilter DigitalSignature DigitBlock DigitBlockMinimum DigitCharacter DigitCount DigitQ DihedralAngle DihedralGroup Dilation DimensionalCombinations DimensionalMeshComponents DimensionReduce DimensionReducerFunction DimensionReduction Dimensions DiracComb DiracDelta DirectedEdge DirectedEdges DirectedGraph DirectedGraphQ DirectedInfinity Direction Directive Directory DirectoryName DirectoryQ DirectoryStack DirichletBeta DirichletCharacter DirichletCondition DirichletConvolve DirichletDistribution DirichletEta DirichletL DirichletLambda DirichletTransform DirichletWindow DisableConsolePrintPacket DisableFormatting DiscreteChirpZTransform DiscreteConvolve DiscreteDelta DiscreteHadamardTransform DiscreteIndicator DiscreteLimit DiscreteLQEstimatorGains DiscreteLQRegulatorGains DiscreteLyapunovSolve DiscreteMarkovProcess DiscreteMaxLimit DiscreteMinLimit DiscretePlot DiscretePlot3D DiscreteRatio DiscreteRiccatiSolve DiscreteShift DiscreteTimeModelQ DiscreteUniformDistribution DiscreteVariables DiscreteWaveletData DiscreteWaveletPacketTransform DiscreteWaveletTransform DiscretizeGraphics DiscretizeRegion Discriminant DisjointQ Disjunction Disk DiskBox DiskMatrix DiskSegment Dispatch DispatchQ DispersionEstimatorFunction Display DisplayAllSteps DisplayEndPacket DisplayFlushImagePacket DisplayForm DisplayFunction DisplayPacket DisplayRules DisplaySetSizePacket DisplayString DisplayTemporary DisplayWith DisplayWithRef DisplayWithVariable DistanceFunction DistanceMatrix DistanceTransform Distribute Distributed DistributedContexts DistributeDefinitions DistributionChart DistributionDomain DistributionFitTest DistributionParameterAssumptions DistributionParameterQ Dithering Div Divergence Divide DivideBy Dividers DivideSides Divisible Divisors DivisorSigma DivisorSum DMSList DMSString Do DockedCells DocumentGenerator DocumentGeneratorInformation DocumentGeneratorInformationData DocumentGenerators DocumentNotebook DocumentWeightingRules Dodecahedron DomainRegistrationInformation DominantColors DOSTextFormat Dot DotDashed DotEqual DotLayer DotPlusLayer Dotted DoubleBracketingBar DoubleContourIntegral DoubleDownArrow DoubleLeftArrow DoubleLeftRightArrow DoubleLeftTee DoubleLongLeftArrow DoubleLongLeftRightArrow DoubleLongRightArrow DoubleRightArrow DoubleRightTee DoubleUpArrow DoubleUpDownArrow DoubleVerticalBar DoublyInfinite Down DownArrow DownArrowBar DownArrowUpArrow DownLeftRightVector DownLeftTeeVector DownLeftVector DownLeftVectorBar DownRightTeeVector DownRightVector DownRightVectorBar Downsample DownTee DownTeeArrow DownValues DragAndDrop DrawEdges DrawFrontFaces DrawHighlighted Drop DropoutLayer DSolve DSolveValue Dt DualLinearProgramming DualPolyhedron DualSystemsModel DumpGet DumpSave DuplicateFreeQ Duration Dynamic DynamicBox DynamicBoxOptions DynamicEvaluationTimeout DynamicGeoGraphics DynamicImage DynamicLocation DynamicModule DynamicModuleBox DynamicModuleBoxOptions DynamicModuleParent DynamicModuleValues DynamicName DynamicNamespace DynamicReference DynamicSetting DynamicUpdating DynamicWrapper DynamicWrapperBox DynamicWrapperBoxOptionsE EarthImpactData EarthquakeData EccentricityCentrality Echo EchoFunction EclipseType EdgeAdd EdgeBetweennessCentrality EdgeCapacity EdgeCapForm EdgeColor EdgeConnectivity EdgeContract EdgeCost EdgeCount EdgeCoverQ EdgeCycleMatrix EdgeDashing EdgeDelete EdgeDetect EdgeForm EdgeIndex EdgeJoinForm EdgeLabeling EdgeLabels EdgeLabelStyle EdgeList EdgeOpacity EdgeQ EdgeRenderingFunction EdgeRules EdgeShapeFunction EdgeStyle EdgeThickness EdgeWeight EdgeWeightedGraphQ Editable EditButtonSettings EditCellTagsSettings EditDistance EffectiveInterest Eigensystem Eigenvalues EigenvectorCentrality Eigenvectors Element ElementData ElementwiseLayer ElidedForms Eliminate EliminationOrder Ellipsoid EllipticE EllipticExp EllipticExpPrime EllipticF EllipticFilterModel EllipticK EllipticLog EllipticNomeQ EllipticPi EllipticReducedHalfPeriods EllipticTheta EllipticThetaPrime EmbedCode EmbeddedHTML EmbeddedService EmbeddingLayer EmbeddingObject EmitSound EmphasizeSyntaxErrors EmpiricalDistribution Empty EmptyGraphQ EmptyRegion EnableConsolePrintPacket Enabled Encode Encrypt EncryptedObject EncryptFile End EndAdd EndDialogPacket EndFrontEndInteractionPacket EndOfBuffer EndOfFile EndOfLine EndOfString EndPackage EngineEnvironment EngineeringForm Enter EnterExpressionPacket EnterTextPacket Entity EntityClass EntityClassList EntityCopies EntityFunction EntityGroup EntityInstance EntityList EntityPrefetch EntityProperties EntityProperty EntityPropertyClass EntityRegister EntityStore EntityStores EntityTypeName EntityUnregister EntityValue Entropy EntropyFilter Environment Epilog EpilogFunction Equal EqualColumns EqualRows EqualTilde EqualTo EquatedTo Equilibrium EquirippleFilterKernel Equivalent Erf Erfc Erfi ErlangB ErlangC ErlangDistribution Erosion ErrorBox ErrorBoxOptions ErrorNorm ErrorPacket ErrorsDialogSettings EscapeRadius EstimatedBackground EstimatedDistribution EstimatedProcess EstimatorGains EstimatorRegulator EuclideanDistance EulerAngles EulerCharacteristic EulerE EulerGamma EulerianGraphQ EulerMatrix EulerPhi Evaluatable Evaluate Evaluated EvaluatePacket EvaluateScheduledTask EvaluationBox EvaluationCell EvaluationCompletionAction EvaluationData EvaluationElements EvaluationEnvironment EvaluationMode EvaluationMonitor EvaluationNotebook EvaluationObject EvaluationOrder Evaluator EvaluatorNames EvenQ EventData EventEvaluator EventHandler EventHandlerTag EventLabels EventSeries ExactBlackmanWindow ExactNumberQ ExactRootIsolation ExampleData Except ExcludedForms ExcludedLines ExcludedPhysicalQuantities ExcludePods Exclusions ExclusionsStyle Exists Exit ExitDialog ExoplanetData Exp Expand ExpandAll ExpandDenominator ExpandFileName ExpandNumerator Expectation ExpectationE ExpectedValue ExpGammaDistribution ExpIntegralE ExpIntegralEi ExpirationDate Exponent ExponentFunction ExponentialDistribution ExponentialFamily ExponentialGeneratingFunction ExponentialMovingAverage ExponentialPowerDistribution ExponentPosition ExponentStep Export ExportAutoReplacements ExportByteArray ExportForm ExportPacket ExportString Expression ExpressionCell ExpressionPacket ExpressionUUID ExpToTrig ExtendedEntityClass ExtendedGCD Extension ExtentElementFunction ExtentMarkers ExtentSize ExternalBundle ExternalCall ExternalDataCharacterEncoding ExternalEvaluate ExternalFunction ExternalFunctionName ExternalObject ExternalOptions ExternalSessionObject ExternalSessions ExternalTypeSignature ExternalValue Extract ExtractArchive ExtractLayer ExtremeValueDistributionFaceForm FaceGrids FaceGridsStyle FacialFeatures Factor FactorComplete Factorial Factorial2 FactorialMoment FactorialMomentGeneratingFunction FactorialPower FactorInteger FactorList FactorSquareFree FactorSquareFreeList FactorTerms FactorTermsList Fail Failure FailureAction FailureDistribution FailureQ False FareySequence FARIMAProcess FeatureDistance FeatureExtract FeatureExtraction FeatureExtractor FeatureExtractorFunction FeatureNames FeatureNearest FeatureSpacePlot FeatureSpacePlot3D FeatureTypes FEDisableConsolePrintPacket FeedbackLinearize FeedbackSector FeedbackSectorStyle FeedbackType FEEnableConsolePrintPacket FetalGrowthData Fibonacci Fibonorial FieldCompletionFunction FieldHint FieldHintStyle FieldMasked FieldSize File FileBaseName FileByteCount FileConvert FileDate FileExistsQ FileExtension FileFormat FileHandler FileHash FileInformation FileName FileNameDepth FileNameDialogSettings FileNameDrop FileNameForms FileNameJoin FileNames FileNameSetter FileNameSplit FileNameTake FilePrint FileSize FileSystemMap FileSystemScan FileTemplate FileTemplateApply FileType FilledCurve FilledCurveBox FilledCurveBoxOptions Filling FillingStyle FillingTransform FilteredEntityClass FilterRules FinancialBond FinancialData FinancialDerivative FinancialIndicator Find FindAnomalies FindArgMax FindArgMin FindChannels FindClique FindClusters FindCookies FindCurvePath FindCycle FindDevices FindDistribution FindDistributionParameters FindDivisions FindEdgeCover FindEdgeCut FindEdgeIndependentPaths FindEquationalProof FindEulerianCycle FindExternalEvaluators FindFaces FindFile FindFit FindFormula FindFundamentalCycles FindGeneratingFunction FindGeoLocation FindGeometricConjectures FindGeometricTransform FindGraphCommunities FindGraphIsomorphism FindGraphPartition FindHamiltonianCycle FindHamiltonianPath FindHiddenMarkovStates FindIndependentEdgeSet FindIndependentVertexSet FindInstance FindIntegerNullVector FindKClan FindKClique FindKClub FindKPlex FindLibrary FindLinearRecurrence FindList FindMatchingColor FindMaximum FindMaximumFlow FindMaxValue FindMeshDefects FindMinimum FindMinimumCostFlow FindMinimumCut FindMinValue FindMoleculeSubstructure FindPath FindPeaks FindPermutation FindPostmanTour FindProcessParameters FindRepeat FindRoot FindSequenceFunction FindSettings FindShortestPath FindShortestTour FindSpanningTree FindSystemModelEquilibrium FindTextualAnswer FindThreshold FindTransientRepeat FindVertexCover FindVertexCut FindVertexIndependentPaths Fine FinishDynamic FiniteAbelianGroupCount FiniteGroupCount FiniteGroupData First FirstCase FirstPassageTimeDistribution FirstPosition FischerGroupFi22 FischerGroupFi23 FischerGroupFi24Prime FisherHypergeometricDistribution FisherRatioTest FisherZDistribution Fit FitAll FitRegularization FittedModel FixedOrder FixedPoint FixedPointList FlashSelection Flat Flatten FlattenAt FlattenLayer FlatTopWindow FlipView Floor FlowPolynomial FlushPrintOutputPacket Fold FoldList FoldPair FoldPairList FollowRedirects Font FontColor FontFamily FontForm FontName FontOpacity FontPostScriptName FontProperties FontReencoding FontSize FontSlant FontSubstitutions FontTracking FontVariations FontWeight For ForAll Format FormatRules FormatType FormatTypeAutoConvert FormatValues FormBox FormBoxOptions FormControl FormFunction FormLayoutFunction FormObject FormPage FormTheme FormulaData FormulaLookup FortranForm Forward ForwardBackward Fourier FourierCoefficient FourierCosCoefficient FourierCosSeries FourierCosTransform FourierDCT FourierDCTFilter FourierDCTMatrix FourierDST FourierDSTMatrix FourierMatrix FourierParameters FourierSequenceTransform FourierSeries FourierSinCoefficient FourierSinSeries FourierSinTransform FourierTransform FourierTrigSeries FractionalBrownianMotionProcess FractionalGaussianNoiseProcess FractionalPart FractionBox FractionBoxOptions FractionLine Frame FrameBox FrameBoxOptions Framed FrameInset FrameLabel Frameless FrameMargins FrameRate FrameStyle FrameTicks FrameTicksStyle FRatioDistribution FrechetDistribution FreeQ FrenetSerretSystem FrequencySamplingFilterKernel FresnelC FresnelF FresnelG FresnelS Friday FrobeniusNumber FrobeniusSolve FromAbsoluteTime FromCharacterCode FromCoefficientRules FromContinuedFraction FromDate FromDigits FromDMS FromEntity FromJulianDate FromLetterNumber FromPolarCoordinates FromRomanNumeral FromSphericalCoordinates FromUnixTime Front FrontEndDynamicExpression FrontEndEventActions FrontEndExecute FrontEndObject FrontEndResource FrontEndResourceString FrontEndStackSize FrontEndToken FrontEndTokenExecute FrontEndValueCache FrontEndVersion FrontFaceColor FrontFaceOpacity Full FullAxes FullDefinition FullForm FullGraphics FullInformationOutputRegulator FullOptions FullRegion FullSimplify Function FunctionCompile FunctionCompileExport FunctionCompileExportByteArray FunctionCompileExportLibrary FunctionCompileExportString FunctionDomain FunctionExpand FunctionInterpolation FunctionPeriod FunctionRange FunctionSpace FussellVeselyImportanceGaborFilter GaborMatrix GaborWavelet GainMargins GainPhaseMargins GalaxyData GalleryView Gamma GammaDistribution GammaRegularized GapPenalty GARCHProcess GatedRecurrentLayer Gather GatherBy GaugeFaceElementFunction GaugeFaceStyle GaugeFrameElementFunction GaugeFrameSize GaugeFrameStyle GaugeLabels GaugeMarkers GaugeStyle GaussianFilter GaussianIntegers GaussianMatrix GaussianOrthogonalMatrixDistribution GaussianSymplecticMatrixDistribution GaussianUnitaryMatrixDistribution GaussianWindow GCD GegenbauerC General GeneralizedLinearModelFit GenerateAsymmetricKeyPair GenerateConditions GeneratedCell GeneratedDocumentBinding GenerateDerivedKey GenerateDigitalSignature GenerateDocument GeneratedParameters GeneratedQuantityMagnitudes GenerateHTTPResponse GenerateSecuredAuthenticationKey GenerateSymmetricKey GeneratingFunction GeneratorDescription GeneratorHistoryLength GeneratorOutputType Generic GenericCylindricalDecomposition GenomeData GenomeLookup GeoAntipode GeoArea GeoArraySize GeoBackground GeoBoundingBox GeoBounds GeoBoundsRegion GeoBubbleChart GeoCenter GeoCircle GeodesicClosing GeodesicDilation GeodesicErosion GeodesicOpening GeoDestination GeodesyData GeoDirection GeoDisk GeoDisplacement GeoDistance GeoDistanceList GeoElevationData GeoEntities GeoGraphics GeogravityModelData GeoGridDirectionDifference GeoGridLines GeoGridLinesStyle GeoGridPosition GeoGridRange GeoGridRangePadding GeoGridUnitArea GeoGridUnitDistance GeoGridVector GeoGroup GeoHemisphere GeoHemisphereBoundary GeoHistogram GeoIdentify GeoImage GeoLabels GeoLength GeoListPlot GeoLocation GeologicalPeriodData GeomagneticModelData GeoMarker GeometricAssertion GeometricBrownianMotionProcess GeometricDistribution GeometricMean GeometricMeanFilter GeometricScene GeometricTransformation GeometricTransformation3DBox GeometricTransformation3DBoxOptions GeometricTransformationBox GeometricTransformationBoxOptions GeoModel GeoNearest GeoPath GeoPosition GeoPositionENU GeoPositionXYZ GeoProjection GeoProjectionData GeoRange GeoRangePadding GeoRegionValuePlot GeoResolution GeoScaleBar GeoServer GeoSmoothHistogram GeoStreamPlot GeoStyling GeoStylingImageFunction GeoVariant GeoVector GeoVectorENU GeoVectorPlot GeoVectorXYZ GeoVisibleRegion GeoVisibleRegionBoundary GeoWithinQ GeoZoomLevel GestureHandler GestureHandlerTag Get GetBoundingBoxSizePacket GetContext GetEnvironment GetFileName GetFrontEndOptionsDataPacket GetLinebreakInformationPacket GetMenusPacket GetPageBreakInformationPacket Glaisher GlobalClusteringCoefficient GlobalPreferences GlobalSession Glow GoldenAngle GoldenRatio GompertzMakehamDistribution GoodmanKruskalGamma GoodmanKruskalGammaTest Goto Grad Gradient GradientFilter GradientOrientationFilter GrammarApply GrammarRules GrammarToken Graph Graph3D GraphAssortativity GraphAutomorphismGroup GraphCenter GraphComplement GraphData GraphDensity GraphDiameter GraphDifference GraphDisjointUnion GraphDistance GraphDistanceMatrix GraphElementData GraphEmbedding GraphHighlight GraphHighlightStyle GraphHub Graphics Graphics3D Graphics3DBox Graphics3DBoxOptions GraphicsArray GraphicsBaseline GraphicsBox GraphicsBoxOptions GraphicsColor GraphicsColumn GraphicsComplex GraphicsComplex3DBox GraphicsComplex3DBoxOptions GraphicsComplexBox GraphicsComplexBoxOptions GraphicsContents GraphicsData GraphicsGrid GraphicsGridBox GraphicsGroup GraphicsGroup3DBox GraphicsGroup3DBoxOptions GraphicsGroupBox GraphicsGroupBoxOptions GraphicsGrouping GraphicsHighlightColor GraphicsRow GraphicsSpacing GraphicsStyle GraphIntersection GraphLayout GraphLinkEfficiency GraphPeriphery GraphPlot GraphPlot3D GraphPower GraphPropertyDistribution GraphQ GraphRadius GraphReciprocity GraphRoot GraphStyle GraphUnion Gray GrayLevel Greater GreaterEqual GreaterEqualLess GreaterEqualThan GreaterFullEqual GreaterGreater GreaterLess GreaterSlantEqual GreaterThan GreaterTilde Green GreenFunction Grid GridBaseline GridBox GridBoxAlignment GridBoxBackground GridBoxDividers GridBoxFrame GridBoxItemSize GridBoxItemStyle GridBoxOptions GridBoxSpacings GridCreationSettings GridDefaultElement GridElementStyleOptions GridFrame GridFrameMargins GridGraph GridLines GridLinesStyle GroebnerBasis GroupActionBase GroupBy GroupCentralizer GroupElementFromWord GroupElementPosition GroupElementQ GroupElements GroupElementToWord GroupGenerators Groupings GroupMultiplicationTable GroupOrbits GroupOrder GroupPageBreakWithin GroupSetwiseStabilizer GroupStabilizer GroupStabilizerChain GroupTogetherGrouping GroupTogetherNestedGrouping GrowCutComponents Gudermannian GuidedFilter GumbelDistributionHaarWavelet HadamardMatrix HalfLine HalfNormalDistribution HalfPlane HalfSpace HamiltonianGraphQ HammingDistance HammingWindow HandlerFunctions HandlerFunctionsKeys HankelH1 HankelH2 HankelMatrix HankelTransform HannPoissonWindow HannWindow HaradaNortonGroupHN HararyGraph HarmonicMean HarmonicMeanFilter HarmonicNumber Hash Haversine HazardFunction Head HeadCompose HeaderLines Heads HeavisideLambda HeavisidePi HeavisideTheta HeldGroupHe HeldPart HelpBrowserLookup HelpBrowserNotebook HelpBrowserSettings Here HermiteDecomposition HermiteH HermitianMatrixQ HessenbergDecomposition Hessian HexadecimalCharacter Hexahedron HexahedronBox HexahedronBoxOptions HiddenMarkovProcess HiddenSurface Highlighted HighlightGraph HighlightImage HighlightMesh HighpassFilter HigmanSimsGroupHS HilbertCurve HilbertFilter HilbertMatrix Histogram Histogram3D HistogramDistribution HistogramList HistogramTransform HistogramTransformInterpolation HistoricalPeriodData HitMissTransform HITSCentrality HjorthDistribution HodgeDual HoeffdingD HoeffdingDTest Hold HoldAll HoldAllComplete HoldComplete HoldFirst HoldForm HoldPattern HoldRest HolidayCalendar HomeDirectory HomePage Horizontal HorizontalForm HorizontalGauge HorizontalScrollPosition HornerForm HostLookup HotellingTSquareDistribution HoytDistribution HTMLSave HTTPErrorResponse HTTPRedirect HTTPRequest HTTPRequestData HTTPResponse Hue HumanGrowthData HumpDownHump HumpEqual HurwitzLerchPhi HurwitzZeta HyperbolicDistribution HypercubeGraph HyperexponentialDistribution Hyperfactorial Hypergeometric0F1 Hypergeometric0F1Regularized Hypergeometric1F1 Hypergeometric1F1Regularized Hypergeometric2F1 Hypergeometric2F1Regularized HypergeometricDistribution HypergeometricPFQ HypergeometricPFQRegularized HypergeometricU Hyperlink HyperlinkCreationSettings Hyperplane Hyphenation HyphenationOptions HypoexponentialDistribution HypothesisTestDataI IconData Iconize IconizedObject IconRules Icosahedron Identity IdentityMatrix If IgnoreCase IgnoreDiacritics IgnorePunctuation IgnoreSpellCheck IgnoringInactive Im Image Image3D Image3DProjection Image3DSlices ImageAccumulate ImageAdd ImageAdjust ImageAlign ImageApply ImageApplyIndexed ImageAspectRatio ImageAssemble ImageAugmentationLayer ImageBoundingBoxes ImageCache ImageCacheValid ImageCapture ImageCaptureFunction ImageCases ImageChannels ImageClip ImageCollage ImageColorSpace ImageCompose ImageContainsQ ImageContents ImageConvolve ImageCooccurrence ImageCorners ImageCorrelate ImageCorrespondingPoints ImageCrop ImageData ImageDeconvolve ImageDemosaic ImageDifference ImageDimensions ImageDisplacements ImageDistance ImageEffect ImageExposureCombine ImageFeatureTrack ImageFileApply ImageFileFilter ImageFileScan ImageFilter ImageFocusCombine ImageForestingComponents ImageFormattingWidth ImageForwardTransformation ImageGraphics ImageHistogram ImageIdentify ImageInstanceQ ImageKeypoints ImageLevels ImageLines ImageMargins ImageMarker ImageMarkers ImageMeasurements ImageMesh ImageMultiply ImageOffset ImagePad ImagePadding ImagePartition ImagePeriodogram ImagePerspectiveTransformation ImagePosition ImagePreviewFunction ImagePyramid ImagePyramidApply ImageQ ImageRangeCache ImageRecolor ImageReflect ImageRegion ImageResize ImageResolution ImageRestyle ImageRotate ImageRotated ImageSaliencyFilter ImageScaled ImageScan ImageSize ImageSizeAction ImageSizeCache ImageSizeMultipliers ImageSizeRaw ImageSubtract ImageTake ImageTransformation ImageTrim ImageType ImageValue ImageValuePositions ImagingDevice ImplicitRegion Implies Import ImportAutoReplacements ImportByteArray ImportOptions ImportString ImprovementImportance In Inactivate Inactive IncidenceGraph IncidenceList IncidenceMatrix IncludeAromaticBonds IncludeConstantBasis IncludeDefinitions IncludeDirectories IncludeFileExtension IncludeGeneratorTasks IncludeHydrogens IncludeInflections IncludeMetaInformation IncludePods IncludeQuantities IncludeRelatedTables IncludeSingularTerm IncludeWindowTimes Increment IndefiniteMatrixQ Indent IndentingNewlineSpacings IndentMaxFraction IndependenceTest IndependentEdgeSetQ IndependentPhysicalQuantity IndependentUnit IndependentUnitDimension IndependentVertexSetQ Indeterminate IndeterminateThreshold IndexCreationOptions Indexed IndexGraph IndexTag Inequality InexactNumberQ InexactNumbers InfiniteLine InfinitePlane Infinity Infix InflationAdjust InflationMethod Information InformationData InformationDataGrid Inherited InheritScope InhomogeneousPoissonProcess InitialEvaluationHistory Initialization InitializationCell InitializationCellEvaluation InitializationCellWarning InitializationObjects InitializationValue Initialize InitialSeeding InlineCounterAssignments InlineCounterIncrements InlineRules Inner InnerPolygon InnerPolyhedron Inpaint Input InputAliases InputAssumptions InputAutoReplacements InputField InputFieldBox InputFieldBoxOptions InputForm InputGrouping InputNamePacket InputNotebook InputPacket InputSettings InputStream InputString InputStringPacket InputToBoxFormPacket Insert InsertionFunction InsertionPointObject InsertLinebreaks InsertResults Inset Inset3DBox Inset3DBoxOptions InsetBox InsetBoxOptions Insphere Install InstallService InstanceNormalizationLayer InString Integer IntegerDigits IntegerExponent IntegerLength IntegerName IntegerPart IntegerPartitions IntegerQ IntegerReverse Integers IntegerString Integral Integrate Interactive InteractiveTradingChart Interlaced Interleaving InternallyBalancedDecomposition InterpolatingFunction InterpolatingPolynomial Interpolation InterpolationOrder InterpolationPoints InterpolationPrecision Interpretation InterpretationBox InterpretationBoxOptions InterpretationFunction Interpreter InterpretTemplate InterquartileRange Interrupt InterruptSettings IntersectingQ Intersection Interval IntervalIntersection IntervalMarkers IntervalMarkersStyle IntervalMemberQ IntervalSlider IntervalUnion Into Inverse InverseBetaRegularized InverseCDF InverseChiSquareDistribution InverseContinuousWaveletTransform InverseDistanceTransform InverseEllipticNomeQ InverseErf InverseErfc InverseFourier InverseFourierCosTransform InverseFourierSequenceTransform InverseFourierSinTransform InverseFourierTransform InverseFunction InverseFunctions InverseGammaDistribution InverseGammaRegularized InverseGaussianDistribution InverseGudermannian InverseHankelTransform InverseHaversine InverseImagePyramid InverseJacobiCD InverseJacobiCN InverseJacobiCS InverseJacobiDC InverseJacobiDN InverseJacobiDS InverseJacobiNC InverseJacobiND InverseJacobiNS InverseJacobiSC InverseJacobiSD InverseJacobiSN InverseLaplaceTransform InverseMellinTransform InversePermutation InverseRadon InverseRadonTransform InverseSeries InverseShortTimeFourier InverseSpectrogram InverseSurvivalFunction InverseTransformedRegion InverseWaveletTransform InverseWeierstrassP InverseWishartMatrixDistribution InverseZTransform Invisible InvisibleApplication InvisibleTimes IPAddress IrreduciblePolynomialQ IslandData IsolatingInterval IsomorphicGraphQ IsotopeData Italic Item ItemAspectRatio ItemBox ItemBoxOptions ItemSize ItemStyle ItoProcessJaccardDissimilarity JacobiAmplitude Jacobian JacobiCD JacobiCN JacobiCS JacobiDC JacobiDN JacobiDS JacobiNC JacobiND JacobiNS JacobiP JacobiSC JacobiSD JacobiSN JacobiSymbol JacobiZeta JankoGroupJ1 JankoGroupJ2 JankoGroupJ3 JankoGroupJ4 JarqueBeraALMTest JohnsonDistribution Join JoinAcross Joined JoinedCurve JoinedCurveBox JoinedCurveBoxOptions JoinForm JordanDecomposition JordanModelDecomposition JulianDate JuliaSetBoettcher JuliaSetIterationCount JuliaSetPlot JuliaSetPointsK KagiChart KaiserBesselWindow KaiserWindow KalmanEstimator KalmanFilter KarhunenLoeveDecomposition KaryTree KatzCentrality KCoreComponents KDistribution KEdgeConnectedComponents KEdgeConnectedGraphQ KelvinBei KelvinBer KelvinKei KelvinKer KendallTau KendallTauTest KernelExecute KernelFunction KernelMixtureDistribution Kernels Ket Key KeyCollisionFunction KeyComplement KeyDrop KeyDropFrom KeyExistsQ KeyFreeQ KeyIntersection KeyMap KeyMemberQ KeypointStrength Keys KeySelect KeySort KeySortBy KeyTake KeyUnion KeyValueMap KeyValuePattern Khinchin KillProcess KirchhoffGraph KirchhoffMatrix KleinInvariantJ KnapsackSolve KnightTourGraph KnotData KnownUnitQ KochCurve KolmogorovSmirnovTest KroneckerDelta KroneckerModelDecomposition KroneckerProduct KroneckerSymbol KuiperTest KumaraswamyDistribution Kurtosis KuwaharaFilter KVertexConnectedComponents KVertexConnectedGraphQLABColor Label Labeled LabeledSlider LabelingFunction LabelingSize LabelStyle LabelVisibility LaguerreL LakeData LambdaComponents LambertW LaminaData LanczosWindow LandauDistribution Language LanguageCategory LanguageData LanguageIdentify LanguageOptions LaplaceDistribution LaplaceTransform Laplacian LaplacianFilter LaplacianGaussianFilter Large Larger Last Latitude LatitudeLongitude LatticeData LatticeReduce Launch LaunchKernels LayeredGraphPlot LayerSizeFunction LayoutInformation LCHColor LCM LeaderSize LeafCount LeapYearQ LearnDistribution LearnedDistribution LearningRate LearningRateMultipliers LeastSquares LeastSquaresFilterKernel Left LeftArrow LeftArrowBar LeftArrowRightArrow LeftDownTeeVector LeftDownVector LeftDownVectorBar LeftRightArrow LeftRightVector LeftTee LeftTeeArrow LeftTeeVector LeftTriangle LeftTriangleBar LeftTriangleEqual LeftUpDownVector LeftUpTeeVector LeftUpVector LeftUpVectorBar LeftVector LeftVectorBar LegendAppearance Legended LegendFunction LegendLabel LegendLayout LegendMargins LegendMarkers LegendMarkerSize LegendreP LegendreQ LegendreType Length LengthWhile LerchPhi Less LessEqual LessEqualGreater LessEqualThan LessFullEqual LessGreater LessLess LessSlantEqual LessThan LessTilde LetterCharacter LetterCounts LetterNumber LetterQ Level LeveneTest LeviCivitaTensor LevyDistribution Lexicographic LibraryDataType LibraryFunction LibraryFunctionError LibraryFunctionInformation LibraryFunctionLoad LibraryFunctionUnload LibraryLoad LibraryUnload LicenseID LiftingFilterData LiftingWaveletTransform LightBlue LightBrown LightCyan Lighter LightGray LightGreen Lighting LightingAngle LightMagenta LightOrange LightPink LightPurple LightRed LightSources LightYellow Likelihood Limit LimitsPositioning LimitsPositioningTokens LindleyDistribution Line Line3DBox Line3DBoxOptions LinearFilter LinearFractionalOptimization LinearFractionalTransform LinearGradientImage LinearizingTransformationData LinearLayer LinearModelFit LinearOffsetFunction LinearOptimization LinearProgramming LinearRecurrence LinearSolve LinearSolveFunction LineBox LineBoxOptions LineBreak LinebreakAdjustments LineBreakChart LinebreakSemicolonWeighting LineBreakWithin LineColor LineGraph LineIndent LineIndentMaxFraction LineIntegralConvolutionPlot LineIntegralConvolutionScale LineLegend LineOpacity LineSpacing LineWrapParts LinkActivate LinkClose LinkConnect LinkConnectedQ LinkCreate LinkError LinkFlush LinkFunction LinkHost LinkInterrupt LinkLaunch LinkMode LinkObject LinkOpen LinkOptions LinkPatterns LinkProtocol LinkRankCentrality LinkRead LinkReadHeld LinkReadyQ Links LinkService LinkWrite LinkWriteHeld LiouvilleLambda List Listable ListAnimate ListContourPlot ListContourPlot3D ListConvolve ListCorrelate ListCurvePathPlot ListDeconvolve ListDensityPlot ListDensityPlot3D Listen ListFormat ListFourierSequenceTransform ListInterpolation ListLineIntegralConvolutionPlot ListLinePlot ListLogLinearPlot ListLogLogPlot ListLogPlot ListPicker ListPickerBox ListPickerBoxBackground ListPickerBoxOptions ListPlay ListPlot ListPlot3D ListPointPlot3D ListPolarPlot ListQ ListSliceContourPlot3D ListSliceDensityPlot3D ListSliceVectorPlot3D ListStepPlot ListStreamDensityPlot ListStreamPlot ListSurfacePlot3D ListVectorDensityPlot ListVectorPlot ListVectorPlot3D ListZTransform Literal LiteralSearch LocalAdaptiveBinarize LocalCache LocalClusteringCoefficient LocalizeDefinitions LocalizeVariables LocalObject LocalObjects LocalResponseNormalizationLayer LocalSubmit LocalSymbol LocalTime LocalTimeZone LocationEquivalenceTest LocationTest Locator LocatorAutoCreate LocatorBox LocatorBoxOptions LocatorCentering LocatorPane LocatorPaneBox LocatorPaneBoxOptions LocatorRegion Locked Log Log10 Log2 LogBarnesG LogGamma LogGammaDistribution LogicalExpand LogIntegral LogisticDistribution LogisticSigmoid LogitModelFit LogLikelihood LogLinearPlot LogLogisticDistribution LogLogPlot LogMultinormalDistribution LogNormalDistribution LogPlot LogRankTest LogSeriesDistribution LongEqual Longest LongestCommonSequence LongestCommonSequencePositions LongestCommonSubsequence LongestCommonSubsequencePositions LongestMatch LongestOrderedSequence LongForm Longitude LongLeftArrow LongLeftRightArrow LongRightArrow LongShortTermMemoryLayer Lookup Loopback LoopFreeGraphQ LossFunction LowerCaseQ LowerLeftArrow LowerRightArrow LowerTriangularize LowerTriangularMatrixQ LowpassFilter LQEstimatorGains LQGRegulator LQOutputRegulatorGains LQRegulatorGains LUBackSubstitution LucasL LuccioSamiComponents LUDecomposition LunarEclipse LUVColor LyapunovSolve LyonsGroupLyMachineID MachineName MachineNumberQ MachinePrecision MacintoshSystemPageSetup Magenta Magnification Magnify MailAddressValidation MailExecute MailFolder MailItem MailReceiverFunction MailResponseFunction MailSearch MailServerConnect MailServerConnection MailSettings MainSolve MaintainDynamicCaches Majority MakeBoxes MakeExpression MakeRules ManagedLibraryExpressionID ManagedLibraryExpressionQ MandelbrotSetBoettcher MandelbrotSetDistance MandelbrotSetIterationCount MandelbrotSetMemberQ MandelbrotSetPlot MangoldtLambda ManhattanDistance Manipulate Manipulator MannedSpaceMissionData MannWhitneyTest MantissaExponent Manual Map MapAll MapAt MapIndexed MAProcess MapThread MarchenkoPasturDistribution MarcumQ MardiaCombinedTest MardiaKurtosisTest MardiaSkewnessTest MarginalDistribution MarkovProcessProperties Masking MatchingDissimilarity MatchLocalNameQ MatchLocalNames MatchQ Material MathematicalFunctionData MathematicaNotation MathieuC MathieuCharacteristicA MathieuCharacteristicB MathieuCharacteristicExponent MathieuCPrime MathieuGroupM11 MathieuGroupM12 MathieuGroupM22 MathieuGroupM23 MathieuGroupM24 MathieuS MathieuSPrime MathMLForm MathMLText Matrices MatrixExp MatrixForm MatrixFunction MatrixLog MatrixNormalDistribution MatrixPlot MatrixPower MatrixPropertyDistribution MatrixQ MatrixRank MatrixTDistribution Max MaxBend MaxCellMeasure MaxColorDistance MaxDetect MaxDuration MaxExtraBandwidths MaxExtraConditions MaxFeatureDisplacement MaxFeatures MaxFilter MaximalBy Maximize MaxItems MaxIterations MaxLimit MaxMemoryUsed MaxMixtureKernels MaxOverlapFraction MaxPlotPoints MaxPoints MaxRecursion MaxStableDistribution MaxStepFraction MaxSteps MaxStepSize MaxTrainingRounds MaxValue MaxwellDistribution MaxWordGap McLaughlinGroupMcL Mean MeanAbsoluteLossLayer MeanAround MeanClusteringCoefficient MeanDegreeConnectivity MeanDeviation MeanFilter MeanGraphDistance MeanNeighborDegree MeanShift MeanShiftFilter MeanSquaredLossLayer Median MedianDeviation MedianFilter MedicalTestData Medium MeijerG MeijerGReduce MeixnerDistribution MellinConvolve MellinTransform MemberQ MemoryAvailable MemoryConstrained MemoryConstraint MemoryInUse MengerMesh Menu MenuAppearance MenuCommandKey MenuEvaluator MenuItem MenuList MenuPacket MenuSortingValue MenuStyle MenuView Merge MergeDifferences MergingFunction MersennePrimeExponent MersennePrimeExponentQ Mesh MeshCellCentroid MeshCellCount MeshCellHighlight MeshCellIndex MeshCellLabel MeshCellMarker MeshCellMeasure MeshCellQuality MeshCells MeshCellShapeFunction MeshCellStyle MeshCoordinates MeshFunctions MeshPrimitives MeshQualityGoal MeshRange MeshRefinementFunction MeshRegion MeshRegionQ MeshShading MeshStyle Message MessageDialog MessageList MessageName MessageObject MessageOptions MessagePacket Messages MessagesNotebook MetaCharacters MetaInformation MeteorShowerData Method MethodOptions MexicanHatWavelet MeyerWavelet Midpoint Min MinColorDistance MinDetect MineralData MinFilter MinimalBy MinimalPolynomial MinimalStateSpaceModel Minimize MinimumTimeIncrement MinIntervalSize MinkowskiQuestionMark MinLimit MinMax MinorPlanetData Minors MinRecursion MinSize MinStableDistribution Minus MinusPlus MinValue Missing MissingBehavior MissingDataMethod MissingDataRules MissingQ MissingString MissingStyle MissingValuePattern MittagLefflerE MixedFractionParts MixedGraphQ MixedMagnitude MixedRadix MixedRadixQuantity MixedUnit MixtureDistribution Mod Modal Mode Modular ModularInverse ModularLambda Module Modulus MoebiusMu Molecule MoleculeContainsQ MoleculeEquivalentQ MoleculeGraph MoleculeModify MoleculePattern MoleculePlot MoleculePlot3D MoleculeProperty MoleculeQ MoleculeValue Moment Momentary MomentConvert MomentEvaluate MomentGeneratingFunction MomentOfInertia Monday Monitor MonomialList MonomialOrder MonsterGroupM MoonPhase MoonPosition MorletWavelet MorphologicalBinarize MorphologicalBranchPoints MorphologicalComponents MorphologicalEulerNumber MorphologicalGraph MorphologicalPerimeter MorphologicalTransform MortalityData Most MountainData MouseAnnotation MouseAppearance MouseAppearanceTag MouseButtons Mouseover MousePointerNote MousePosition MovieData MovingAverage MovingMap MovingMedian MoyalDistribution Multicolumn MultiedgeStyle MultigraphQ MultilaunchWarning MultiLetterItalics MultiLetterStyle MultilineFunction Multinomial MultinomialDistribution MultinormalDistribution MultiplicativeOrder Multiplicity MultiplySides Multiselection MultivariateHypergeometricDistribution MultivariatePoissonDistribution MultivariateTDistributionN NakagamiDistribution NameQ Names NamespaceBox NamespaceBoxOptions Nand NArgMax NArgMin NBernoulliB NBodySimulation NBodySimulationData NCache NDEigensystem NDEigenvalues NDSolve NDSolveValue Nearest NearestFunction NearestNeighborGraph NearestTo NebulaData NeedCurrentFrontEndPackagePacket NeedCurrentFrontEndSymbolsPacket NeedlemanWunschSimilarity Needs Negative NegativeBinomialDistribution NegativeDefiniteMatrixQ NegativeIntegers NegativeMultinomialDistribution NegativeRationals NegativeReals NegativeSemidefiniteMatrixQ NeighborhoodData NeighborhoodGraph Nest NestedGreaterGreater NestedLessLess NestedScriptRules NestGraph NestList NestWhile NestWhileList NetAppend NetBidirectionalOperator NetChain NetDecoder NetDelete NetDrop NetEncoder NetEvaluationMode NetExtract NetFlatten NetFoldOperator NetGraph NetInformation NetInitialize NetInsert NetInsertSharedArrays NetJoin NetMapOperator NetMapThreadOperator NetMeasurements NetModel NetNestOperator NetPairEmbeddingOperator NetPort NetPortGradient NetPrepend NetRename NetReplace NetReplacePart NetSharedArray NetStateObject NetTake NetTrain NetTrainResultsObject NetworkPacketCapture NetworkPacketRecording NetworkPacketRecordingDuring NetworkPacketTrace NeumannValue NevilleThetaC NevilleThetaD NevilleThetaN NevilleThetaS NewPrimitiveStyle NExpectation Next NextCell NextDate NextPrime NextScheduledTaskTime NHoldAll NHoldFirst NHoldRest NicholsGridLines NicholsPlot NightHemisphere NIntegrate NMaximize NMaxValue NMinimize NMinValue NominalVariables NonAssociative NoncentralBetaDistribution NoncentralChiSquareDistribution NoncentralFRatioDistribution NoncentralStudentTDistribution NonCommutativeMultiply NonConstants NondimensionalizationTransform None NoneTrue NonlinearModelFit NonlinearStateSpaceModel NonlocalMeansFilter NonNegative NonNegativeIntegers NonNegativeRationals NonNegativeReals NonPositive NonPositiveIntegers NonPositiveRationals NonPositiveReals Nor NorlundB Norm Normal NormalDistribution NormalGrouping NormalizationLayer Normalize Normalized NormalizedSquaredEuclideanDistance NormalMatrixQ NormalsFunction NormFunction Not NotCongruent NotCupCap NotDoubleVerticalBar Notebook NotebookApply NotebookAutoSave NotebookClose NotebookConvertSettings NotebookCreate NotebookCreateReturnObject NotebookDefault NotebookDelete NotebookDirectory NotebookDynamicExpression NotebookEvaluate NotebookEventActions NotebookFileName NotebookFind NotebookFindReturnObject NotebookGet NotebookGetLayoutInformationPacket NotebookGetMisspellingsPacket NotebookImport NotebookInformation NotebookInterfaceObject NotebookLocate NotebookObject NotebookOpen NotebookOpenReturnObject NotebookPath NotebookPrint NotebookPut NotebookPutReturnObject NotebookRead NotebookResetGeneratedCells Notebooks NotebookSave NotebookSaveAs NotebookSelection NotebookSetupLayoutInformationPacket NotebooksMenu NotebookTemplate NotebookWrite NotElement NotEqualTilde NotExists NotGreater NotGreaterEqual NotGreaterFullEqual NotGreaterGreater NotGreaterLess NotGreaterSlantEqual NotGreaterTilde Nothing NotHumpDownHump NotHumpEqual NotificationFunction NotLeftTriangle NotLeftTriangleBar NotLeftTriangleEqual NotLess NotLessEqual NotLessFullEqual NotLessGreater NotLessLess NotLessSlantEqual NotLessTilde NotNestedGreaterGreater NotNestedLessLess NotPrecedes NotPrecedesEqual NotPrecedesSlantEqual NotPrecedesTilde NotReverseElement NotRightTriangle NotRightTriangleBar NotRightTriangleEqual NotSquareSubset NotSquareSubsetEqual NotSquareSuperset NotSquareSupersetEqual NotSubset NotSubsetEqual NotSucceeds NotSucceedsEqual NotSucceedsSlantEqual NotSucceedsTilde NotSuperset NotSupersetEqual NotTilde NotTildeEqual NotTildeFullEqual NotTildeTilde NotVerticalBar Now NoWhitespace NProbability NProduct NProductFactors NRoots NSolve NSum NSumTerms NuclearExplosionData NuclearReactorData Null NullRecords NullSpace NullWords Number NumberCompose NumberDecompose NumberExpand NumberFieldClassNumber NumberFieldDiscriminant NumberFieldFundamentalUnits NumberFieldIntegralBasis NumberFieldNormRepresentatives NumberFieldRegulator NumberFieldRootsOfUnity NumberFieldSignature NumberForm NumberFormat NumberLinePlot NumberMarks NumberMultiplier NumberPadding NumberPoint NumberQ NumberSeparator NumberSigns NumberString Numerator NumeratorDenominator NumericalOrder NumericalSort NumericArray NumericArrayQ NumericArrayType NumericFunction NumericQ NuttallWindow NValues NyquistGridLines NyquistPlotO ObservabilityGramian ObservabilityMatrix ObservableDecomposition ObservableModelQ OceanData Octahedron OddQ Off Offset OLEData On ONanGroupON Once OneIdentity Opacity OpacityFunction OpacityFunctionScaling Open OpenAppend Opener OpenerBox OpenerBoxOptions OpenerView OpenFunctionInspectorPacket Opening OpenRead OpenSpecialOptions OpenTemporary OpenWrite Operate OperatingSystem OptimumFlowData Optional OptionalElement OptionInspectorSettings OptionQ Options OptionsPacket OptionsPattern OptionValue OptionValueBox OptionValueBoxOptions Or Orange Order OrderDistribution OrderedQ Ordering OrderingBy OrderingLayer Orderless OrderlessPatternSequence OrnsteinUhlenbeckProcess Orthogonalize OrthogonalMatrixQ Out Outer OuterPolygon OuterPolyhedron OutputAutoOverwrite OutputControllabilityMatrix OutputControllableModelQ OutputForm OutputFormData OutputGrouping OutputMathEditExpression OutputNamePacket OutputResponse OutputSizeLimit OutputStream Over OverBar OverDot Overflow OverHat Overlaps Overlay OverlayBox OverlayBoxOptions Overscript OverscriptBox OverscriptBoxOptions OverTilde OverVector OverwriteTarget OwenT OwnValuesPackage PackingMethod PaddedForm Padding PaddingLayer PaddingSize PadeApproximant PadLeft PadRight PageBreakAbove PageBreakBelow PageBreakWithin PageFooterLines PageFooters PageHeaderLines PageHeaders PageHeight PageRankCentrality PageTheme PageWidth Pagination PairedBarChart PairedHistogram PairedSmoothHistogram PairedTTest PairedZTest PaletteNotebook PalettePath PalindromeQ Pane PaneBox PaneBoxOptions Panel PanelBox PanelBoxOptions Paneled PaneSelector PaneSelectorBox PaneSelectorBoxOptions PaperWidth ParabolicCylinderD ParagraphIndent ParagraphSpacing ParallelArray ParallelCombine ParallelDo Parallelepiped ParallelEvaluate Parallelization Parallelize ParallelMap ParallelNeeds Parallelogram ParallelProduct ParallelSubmit ParallelSum ParallelTable ParallelTry Parameter ParameterEstimator ParameterMixtureDistribution ParameterVariables ParametricFunction ParametricNDSolve ParametricNDSolveValue ParametricPlot ParametricPlot3D ParametricRegion ParentBox ParentCell ParentConnect ParentDirectory ParentForm Parenthesize ParentList ParentNotebook ParetoDistribution ParetoPickandsDistribution ParkData Part PartBehavior PartialCorrelationFunction PartialD ParticleAcceleratorData ParticleData Partition PartitionGranularity PartitionsP PartitionsQ PartLayer PartOfSpeech PartProtection ParzenWindow PascalDistribution PassEventsDown PassEventsUp Paste PasteAutoQuoteCharacters PasteBoxFormInlineCells PasteButton Path PathGraph PathGraphQ Pattern PatternSequence PatternTest PauliMatrix PaulWavelet Pause PausedTime PDF PeakDetect PeanoCurve PearsonChiSquareTest PearsonCorrelationTest PearsonDistribution PercentForm PerfectNumber PerfectNumberQ PerformanceGoal Perimeter PeriodicBoundaryCondition PeriodicInterpolation Periodogram PeriodogramArray Permanent Permissions PermissionsGroup PermissionsGroupMemberQ PermissionsGroups PermissionsKey PermissionsKeys PermutationCycles PermutationCyclesQ PermutationGroup PermutationLength PermutationList PermutationListQ PermutationMax PermutationMin PermutationOrder PermutationPower PermutationProduct PermutationReplace Permutations PermutationSupport Permute PeronaMalikFilter Perpendicular PerpendicularBisector PersistenceLocation PersistenceTime PersistentObject PersistentObjects PersistentValue PersonData PERTDistribution PetersenGraph PhaseMargins PhaseRange PhysicalSystemData Pi Pick PIDData PIDDerivativeFilter PIDFeedforward PIDTune Piecewise PiecewiseExpand PieChart PieChart3D PillaiTrace PillaiTraceTest PingTime Pink PitchRecognize Pivoting PixelConstrained PixelValue PixelValuePositions Placed Placeholder PlaceholderReplace Plain PlanarAngle PlanarGraph PlanarGraphQ PlanckRadiationLaw PlaneCurveData PlanetaryMoonData PlanetData PlantData Play PlayRange Plot Plot3D Plot3Matrix PlotDivision PlotJoined PlotLabel PlotLabels PlotLayout PlotLegends PlotMarkers PlotPoints PlotRange PlotRangeClipping PlotRangeClipPlanesStyle PlotRangePadding PlotRegion PlotStyle PlotTheme Pluralize Plus PlusMinus Pochhammer PodStates PodWidth Point Point3DBox Point3DBoxOptions PointBox PointBoxOptions PointFigureChart PointLegend PointSize PoissonConsulDistribution PoissonDistribution PoissonProcess PoissonWindow PolarAxes PolarAxesOrigin PolarGridLines PolarPlot PolarTicks PoleZeroMarkers PolyaAeppliDistribution PolyGamma Polygon Polygon3DBox Polygon3DBoxOptions PolygonalNumber PolygonAngle PolygonBox PolygonBoxOptions PolygonCoordinates PolygonDecomposition PolygonHoleScale PolygonIntersections PolygonScale Polyhedron PolyhedronAngle PolyhedronCoordinates PolyhedronData PolyhedronDecomposition PolyhedronGenus PolyLog PolynomialExtendedGCD PolynomialForm PolynomialGCD PolynomialLCM PolynomialMod PolynomialQ PolynomialQuotient PolynomialQuotientRemainder PolynomialReduce PolynomialRemainder Polynomials PoolingLayer PopupMenu PopupMenuBox PopupMenuBoxOptions PopupView PopupWindow Position PositionIndex Positive PositiveDefiniteMatrixQ PositiveIntegers PositiveRationals PositiveReals PositiveSemidefiniteMatrixQ PossibleZeroQ Postfix PostScript Power PowerDistribution PowerExpand PowerMod PowerModList PowerRange PowerSpectralDensity PowersRepresentations PowerSymmetricPolynomial Precedence PrecedenceForm Precedes PrecedesEqual PrecedesSlantEqual PrecedesTilde Precision PrecisionGoal PreDecrement Predict PredictionRoot PredictorFunction PredictorInformation PredictorMeasurements PredictorMeasurementsObject PreemptProtect PreferencesPath Prefix PreIncrement Prepend PrependLayer PrependTo PreprocessingRules PreserveColor PreserveImageOptions Previous PreviousCell PreviousDate PriceGraphDistribution PrimaryPlaceholder Prime PrimeNu PrimeOmega PrimePi PrimePowerQ PrimeQ Primes PrimeZetaP PrimitivePolynomialQ PrimitiveRoot PrimitiveRootList PrincipalComponents PrincipalValue Print PrintableASCIIQ PrintAction PrintForm PrintingCopies PrintingOptions PrintingPageRange PrintingStartingPageNumber PrintingStyleEnvironment Printout3D Printout3DPreviewer PrintPrecision PrintTemporary Prism PrismBox PrismBoxOptions PrivateCellOptions PrivateEvaluationOptions PrivateFontOptions PrivateFrontEndOptions PrivateKey PrivateNotebookOptions PrivatePaths Probability ProbabilityDistribution ProbabilityPlot ProbabilityPr ProbabilityScalePlot ProbitModelFit ProcessConnection ProcessDirectory ProcessEnvironment Processes ProcessEstimator ProcessInformation ProcessObject ProcessParameterAssumptions ProcessParameterQ ProcessStateDomain ProcessStatus ProcessTimeDomain Product ProductDistribution ProductLog ProgressIndicator ProgressIndicatorBox ProgressIndicatorBoxOptions Projection Prolog PromptForm ProofObject Properties Property PropertyList PropertyValue Proportion Proportional Protect Protected ProteinData Pruning PseudoInverse PsychrometricPropertyData PublicKey PublisherID PulsarData PunctuationCharacter Purple Put PutAppend Pyramid PyramidBox PyramidBoxOptionsQBinomial QFactorial QGamma QHypergeometricPFQ QnDispersion QPochhammer QPolyGamma QRDecomposition QuadraticIrrationalQ QuadraticOptimization Quantile QuantilePlot Quantity QuantityArray QuantityDistribution QuantityForm QuantityMagnitude QuantityQ QuantityUnit QuantityVariable QuantityVariableCanonicalUnit QuantityVariableDimensions QuantityVariableIdentifier QuantityVariablePhysicalQuantity Quartics QuartileDeviation Quartiles QuartileSkewness Query QueueingNetworkProcess QueueingProcess QueueProperties Quiet Quit Quotient QuotientRemainderRadialGradientImage RadialityCentrality RadicalBox RadicalBoxOptions RadioButton RadioButtonBar RadioButtonBox RadioButtonBoxOptions Radon RadonTransform RamanujanTau RamanujanTauL RamanujanTauTheta RamanujanTauZ Ramp Random RandomChoice RandomColor RandomComplex RandomEntity RandomFunction RandomGeoPosition RandomGraph RandomImage RandomInstance RandomInteger RandomPermutation RandomPoint RandomPolygon RandomPolyhedron RandomPrime RandomReal RandomSample RandomSeed RandomSeeding RandomVariate RandomWalkProcess RandomWord Range RangeFilter RangeSpecification RankedMax RankedMin RarerProbability Raster Raster3D Raster3DBox Raster3DBoxOptions RasterArray RasterBox RasterBoxOptions Rasterize RasterSize Rational RationalFunctions Rationalize Rationals Ratios RawArray RawBoxes RawData RawMedium RayleighDistribution Re Read ReadByteArray ReadLine ReadList ReadProtected ReadString Real RealAbs RealBlockDiagonalForm RealDigits RealExponent Reals RealSign Reap RecognitionPrior RecognitionThreshold Record RecordLists RecordSeparators Rectangle RectangleBox RectangleBoxOptions RectangleChart RectangleChart3D RectangularRepeatingElement RecurrenceFilter RecurrenceTable RecurringDigitsForm Red Reduce RefBox ReferenceLineStyle ReferenceMarkers ReferenceMarkerStyle Refine ReflectionMatrix ReflectionTransform Refresh RefreshRate Region RegionBinarize RegionBoundary RegionBounds RegionCentroid RegionDifference RegionDimension RegionDisjoint RegionDistance RegionDistanceFunction RegionEmbeddingDimension RegionEqual RegionFunction RegionImage RegionIntersection RegionMeasure RegionMember RegionMemberFunction RegionMoment RegionNearest RegionNearestFunction RegionPlot RegionPlot3D RegionProduct RegionQ RegionResize RegionSize RegionSymmetricDifference RegionUnion RegionWithin RegisterExternalEvaluator RegularExpression Regularization RegularlySampledQ RegularPolygon ReIm ReImLabels ReImPlot ReImStyle Reinstall RelationalDatabase RelationGraph Release ReleaseHold ReliabilityDistribution ReliefImage ReliefPlot RemoteAuthorizationCaching RemoteConnect RemoteConnectionObject RemoteFile RemoteRun RemoteRunProcess Remove RemoveAlphaChannel RemoveAsynchronousTask RemoveAudioStream RemoveBackground RemoveChannelListener RemoveChannelSubscribers Removed RemoveDiacritics RemoveInputStreamMethod RemoveOutputStreamMethod RemoveProperty RemoveScheduledTask RemoveUsers RenameDirectory RenameFile RenderAll RenderingOptions RenewalProcess RenkoChart RepairMesh Repeated RepeatedNull RepeatedString RepeatedTiming RepeatingElement Replace ReplaceAll ReplaceHeldPart ReplaceImageValue ReplaceList ReplacePart ReplacePixelValue ReplaceRepeated ReplicateLayer RequiredPhysicalQuantities Resampling ResamplingAlgorithmData ResamplingMethod Rescale RescalingTransform ResetDirectory ResetMenusPacket ResetScheduledTask ReshapeLayer Residue ResizeLayer Resolve ResourceAcquire ResourceData ResourceFunction ResourceObject ResourceRegister ResourceRemove ResourceSearch ResourceSubmissionObject ResourceSubmit ResourceSystemBase ResourceUpdate ResponseForm Rest RestartInterval Restricted Resultant ResumePacket Return ReturnEntersInput ReturnExpressionPacket ReturnInputFormPacket ReturnPacket ReturnReceiptFunction ReturnTextPacket Reverse ReverseBiorthogonalSplineWavelet ReverseElement ReverseEquilibrium ReverseGraph ReverseSort ReverseSortBy ReverseUpEquilibrium RevolutionAxis RevolutionPlot3D RGBColor RiccatiSolve RiceDistribution RidgeFilter RiemannR RiemannSiegelTheta RiemannSiegelZ RiemannXi Riffle Right RightArrow RightArrowBar RightArrowLeftArrow RightComposition RightCosetRepresentative RightDownTeeVector RightDownVector RightDownVectorBar RightTee RightTeeArrow RightTeeVector RightTriangle RightTriangleBar RightTriangleEqual RightUpDownVector RightUpTeeVector RightUpVector RightUpVectorBar RightVector RightVectorBar RiskAchievementImportance RiskReductionImportance RogersTanimotoDissimilarity RollPitchYawAngles RollPitchYawMatrix RomanNumeral Root RootApproximant RootIntervals RootLocusPlot RootMeanSquare RootOfUnityQ RootReduce Roots RootSum Rotate RotateLabel RotateLeft RotateRight RotationAction RotationBox RotationBoxOptions RotationMatrix RotationTransform Round RoundImplies RoundingRadius Row RowAlignments RowBackgrounds RowBox RowHeights RowLines RowMinHeight RowReduce RowsEqual RowSpacings RSolve RSolveValue RudinShapiro RudvalisGroupRu Rule RuleCondition RuleDelayed RuleForm RulePlot RulerUnits Run RunProcess RunScheduledTask RunThrough RuntimeAttributes RuntimeOptions RussellRaoDissimilaritySameQ SameTest SampledEntityClass SampleDepth SampledSoundFunction SampledSoundList SampleRate SamplingPeriod SARIMAProcess SARMAProcess SASTriangle SatelliteData SatisfiabilityCount SatisfiabilityInstances SatisfiableQ Saturday Save Saveable SaveAutoDelete SaveConnection SaveDefinitions SavitzkyGolayMatrix SawtoothWave Scale Scaled ScaleDivisions ScaledMousePosition ScaleOrigin ScalePadding ScaleRanges ScaleRangeStyle ScalingFunctions ScalingMatrix ScalingTransform Scan ScheduledTask ScheduledTaskActiveQ ScheduledTaskInformation ScheduledTaskInformationData ScheduledTaskObject ScheduledTasks SchurDecomposition ScientificForm ScientificNotationThreshold ScorerGi ScorerGiPrime ScorerHi ScorerHiPrime ScreenRectangle ScreenStyleEnvironment ScriptBaselineShifts ScriptForm ScriptLevel ScriptMinSize ScriptRules ScriptSizeMultipliers Scrollbars ScrollingOptions ScrollPosition SearchAdjustment SearchIndexObject SearchIndices SearchQueryString SearchResultObject Sec Sech SechDistribution SecondOrderConeOptimization SectionGrouping SectorChart SectorChart3D SectorOrigin SectorSpacing SecuredAuthenticationKey SecuredAuthenticationKeys SeedRandom Select Selectable SelectComponents SelectedCells SelectedNotebook SelectFirst Selection SelectionAnimate SelectionCell SelectionCellCreateCell SelectionCellDefaultStyle SelectionCellParentStyle SelectionCreateCell SelectionDebuggerTag SelectionDuplicateCell SelectionEvaluate SelectionEvaluateCreateCell SelectionMove SelectionPlaceholder SelectionSetStyle SelectWithContents SelfLoops SelfLoopStyle SemanticImport SemanticImportString SemanticInterpretation SemialgebraicComponentInstances SemidefiniteOptimization SendMail SendMessage Sequence SequenceAlignment SequenceAttentionLayer SequenceCases SequenceCount SequenceFold SequenceFoldList SequenceForm SequenceHold SequenceLastLayer SequenceMostLayer SequencePosition SequencePredict SequencePredictorFunction SequenceReplace SequenceRestLayer SequenceReverseLayer SequenceSplit Series SeriesCoefficient SeriesData ServiceConnect ServiceDisconnect ServiceExecute ServiceObject ServiceRequest ServiceResponse ServiceSubmit SessionSubmit SessionTime Set SetAccuracy SetAlphaChannel SetAttributes Setbacks SetBoxFormNamesPacket SetCloudDirectory SetCookies SetDelayed SetDirectory SetEnvironment SetEvaluationNotebook SetFileDate SetFileLoadingContext SetNotebookStatusLine SetOptions SetOptionsPacket SetPermissions SetPrecision SetProperty SetSecuredAuthenticationKey SetSelectedNotebook SetSharedFunction SetSharedVariable SetSpeechParametersPacket SetStreamPosition SetSystemModel SetSystemOptions Setter SetterBar SetterBox SetterBoxOptions Setting SetUsers SetValue Shading Shallow ShannonWavelet ShapiroWilkTest Share SharingList Sharpen ShearingMatrix ShearingTransform ShellRegion ShenCastanMatrix ShiftedGompertzDistribution ShiftRegisterSequence Short ShortDownArrow Shortest ShortestMatch ShortestPathFunction ShortLeftArrow ShortRightArrow ShortTimeFourier ShortTimeFourierData ShortUpArrow Show ShowAutoConvert ShowAutoSpellCheck ShowAutoStyles ShowCellBracket ShowCellLabel ShowCellTags ShowClosedCellArea ShowCodeAssist ShowContents ShowControls ShowCursorTracker ShowGroupOpenCloseIcon ShowGroupOpener ShowInvisibleCharacters ShowPageBreaks ShowPredictiveInterface ShowSelection ShowShortBoxForm ShowSpecialCharacters ShowStringCharacters ShowSyntaxStyles ShrinkingDelay ShrinkWrapBoundingBox SiderealTime SiegelTheta SiegelTukeyTest SierpinskiCurve SierpinskiMesh Sign Signature SignedRankTest SignedRegionDistance SignificanceLevel SignPadding SignTest SimilarityRules SimpleGraph SimpleGraphQ SimplePolygonQ SimplePolyhedronQ Simplex Simplify Sin Sinc SinghMaddalaDistribution SingleEvaluation SingleLetterItalics SingleLetterStyle SingularValueDecomposition SingularValueList SingularValuePlot SingularValues Sinh SinhIntegral SinIntegral SixJSymbol Skeleton SkeletonTransform SkellamDistribution Skewness SkewNormalDistribution SkinStyle Skip SliceContourPlot3D SliceDensityPlot3D SliceDistribution SliceVectorPlot3D Slider Slider2D Slider2DBox Slider2DBoxOptions SliderBox SliderBoxOptions SlideView Slot SlotSequence Small SmallCircle Smaller SmithDecomposition SmithDelayCompensator SmithWatermanSimilarity SmoothDensityHistogram SmoothHistogram SmoothHistogram3D SmoothKernelDistribution SnDispersion Snippet SnubPolyhedron SocialMediaData Socket SocketConnect SocketListen SocketListener SocketObject SocketOpen SocketReadMessage SocketReadyQ Sockets SocketWaitAll SocketWaitNext SoftmaxLayer SokalSneathDissimilarity SolarEclipse SolarSystemFeatureData SolidAngle SolidData SolidRegionQ Solve SolveAlways SolveDelayed Sort SortBy SortedBy SortedEntityClass Sound SoundAndGraphics SoundNote SoundVolume SourceLink Sow Space SpaceCurveData SpaceForm Spacer Spacings Span SpanAdjustments SpanCharacterRounding SpanFromAbove SpanFromBoth SpanFromLeft SpanLineThickness SpanMaxSize SpanMinSize SpanningCharacters SpanSymmetric SparseArray SpatialGraphDistribution SpatialMedian SpatialTransformationLayer Speak SpeakTextPacket SpearmanRankTest SpearmanRho SpeciesData SpecificityGoal SpectralLineData Spectrogram SpectrogramArray Specularity SpeechRecognize SpeechSynthesize SpellingCorrection SpellingCorrectionList SpellingDictionaries SpellingDictionariesPath SpellingOptions SpellingSuggestionsPacket Sphere SphereBox SpherePoints SphericalBesselJ SphericalBesselY SphericalHankelH1 SphericalHankelH2 SphericalHarmonicY SphericalPlot3D SphericalRegion SphericalShell SpheroidalEigenvalue SpheroidalJoiningFactor SpheroidalPS SpheroidalPSPrime SpheroidalQS SpheroidalQSPrime SpheroidalRadialFactor SpheroidalS1 SpheroidalS1Prime SpheroidalS2 SpheroidalS2Prime Splice SplicedDistribution SplineClosed SplineDegree SplineKnots SplineWeights Split SplitBy SpokenString Sqrt SqrtBox SqrtBoxOptions Square SquaredEuclideanDistance SquareFreeQ SquareIntersection SquareMatrixQ SquareRepeatingElement SquaresR SquareSubset SquareSubsetEqual SquareSuperset SquareSupersetEqual SquareUnion SquareWave SSSTriangle StabilityMargins StabilityMarginsStyle StableDistribution Stack StackBegin StackComplete StackedDateListPlot StackedListPlot StackInhibit StadiumShape StandardAtmosphereData StandardDeviation StandardDeviationFilter StandardForm Standardize Standardized StandardOceanData StandbyDistribution Star StarClusterData StarData StarGraph StartAsynchronousTask StartExternalSession StartingStepSize StartOfLine StartOfString StartProcess StartScheduledTask StartupSound StartWebSession StateDimensions StateFeedbackGains StateOutputEstimator StateResponse StateSpaceModel StateSpaceRealization StateSpaceTransform StateTransformationLinearize StationaryDistribution StationaryWaveletPacketTransform StationaryWaveletTransform StatusArea StatusCentrality StepMonitor StereochemistryElements StieltjesGamma StirlingS1 StirlingS2 StopAsynchronousTask StoppingPowerData StopScheduledTask StrataVariables StratonovichProcess StreamColorFunction StreamColorFunctionScaling StreamDensityPlot StreamMarkers StreamPlot StreamPoints StreamPosition Streams StreamScale StreamStyle String StringBreak StringByteCount StringCases StringContainsQ StringCount StringDelete StringDrop StringEndsQ StringExpression StringExtract StringForm StringFormat StringFreeQ StringInsert StringJoin StringLength StringMatchQ StringPadLeft StringPadRight StringPart StringPartition StringPosition StringQ StringRepeat StringReplace StringReplaceList StringReplacePart StringReverse StringRiffle StringRotateLeft StringRotateRight StringSkeleton StringSplit StringStartsQ StringTake StringTemplate StringToByteArray StringToStream StringTrim StripBoxes StripOnInput StripWrapperBoxes StrokeForm StructuralImportance StructuredArray StructuredSelection StruveH StruveL Stub StudentTDistribution Style StyleBox StyleBoxAutoDelete StyleData StyleDefinitions StyleForm StyleHints StyleKeyMapping StyleMenuListing StyleNameDialogSettings StyleNames StylePrint StyleSheetPath Subdivide Subfactorial Subgraph SubMinus SubPlus SubresultantPolynomialRemainders SubresultantPolynomials Subresultants Subscript SubscriptBox SubscriptBoxOptions Subscripted Subsequences Subset SubsetEqual SubsetMap SubsetQ Subsets SubStar SubstitutionSystem Subsuperscript SubsuperscriptBox SubsuperscriptBoxOptions Subtract SubtractFrom SubtractSides SubValues Succeeds SucceedsEqual SucceedsSlantEqual SucceedsTilde Success SuchThat Sum SumConvergence SummationLayer Sunday SunPosition Sunrise Sunset SuperDagger SuperMinus SupernovaData SuperPlus Superscript SuperscriptBox SuperscriptBoxOptions Superset SupersetEqual SuperStar Surd SurdForm SurfaceArea SurfaceColor SurfaceData SurfaceGraphics SurvivalDistribution SurvivalFunction SurvivalModel SurvivalModelFit SuspendPacket SuzukiDistribution SuzukiGroupSuz SwatchLegend Switch Symbol SymbolName SymletWavelet Symmetric SymmetricGroup SymmetricKey SymmetricMatrixQ SymmetricPolynomial SymmetricReduction Symmetrize SymmetrizedArray SymmetrizedArrayRules SymmetrizedDependentComponents SymmetrizedIndependentComponents SymmetrizedReplacePart SynchronousInitialization SynchronousUpdating Synonyms Syntax SyntaxForm SyntaxInformation SyntaxLength SyntaxPacket SyntaxQ SynthesizeMissingValues SystemDialogInput SystemException SystemGet SystemHelpPath SystemInformation SystemInformationData SystemInstall SystemModel SystemModeler SystemModelExamples SystemModelLinearize SystemModelParametricSimulate SystemModelPlot SystemModelProgressReporting SystemModelReliability SystemModels SystemModelSimulate SystemModelSimulateSensitivity SystemModelSimulationData SystemOpen SystemOptions SystemProcessData SystemProcesses SystemsConnectionsModel SystemsModelDelay SystemsModelDelayApproximate SystemsModelDelete SystemsModelDimensions SystemsModelExtract SystemsModelFeedbackConnect SystemsModelLabels SystemsModelLinearity SystemsModelMerge SystemsModelOrder SystemsModelParallelConnect SystemsModelSeriesConnect 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            "type": "application/javascript",
            "title": "$:/plugins/tiddlywiki/highlight/highlight.js",
            "module-type": "library"
        },
        "$:/plugins/tiddlywiki/highlight/highlight.css": {
            "text": "/*\n\nOriginal highlight.js style (c) Ivan Sagalaev <maniac@softwaremaniacs.org>\n\n*/\n\n.hljs {\n  display: block;\n  overflow-x: auto;\n  padding: 0.5em;\n  background: #F0F0F0;\n}\n\n\n/* Base color: saturation 0; */\n\n.hljs,\n.hljs-subst {\n  color: #444;\n}\n\n.hljs-comment {\n  color: #888888;\n}\n\n.hljs-keyword,\n.hljs-attribute,\n.hljs-selector-tag,\n.hljs-meta-keyword,\n.hljs-doctag,\n.hljs-name {\n  font-weight: bold;\n}\n\n\n/* User color: hue: 0 */\n\n.hljs-type,\n.hljs-string,\n.hljs-number,\n.hljs-selector-id,\n.hljs-selector-class,\n.hljs-quote,\n.hljs-template-tag,\n.hljs-deletion {\n  color: #880000;\n}\n\n.hljs-title,\n.hljs-section {\n  color: #880000;\n  font-weight: bold;\n}\n\n.hljs-regexp,\n.hljs-symbol,\n.hljs-variable,\n.hljs-template-variable,\n.hljs-link,\n.hljs-selector-attr,\n.hljs-selector-pseudo {\n  color: #BC6060;\n}\n\n\n/* Language color: hue: 90; */\n\n.hljs-literal {\n  color: #78A960;\n}\n\n.hljs-built_in,\n.hljs-bullet,\n.hljs-code,\n.hljs-addition {\n  color: #397300;\n}\n\n\n/* Meta color: hue: 200 */\n\n.hljs-meta {\n  color: #1f7199;\n}\n\n.hljs-meta-string {\n  color: #4d99bf;\n}\n\n\n/* Misc effects */\n\n.hljs-emphasis {\n  font-style: italic;\n}\n\n.hljs-strong {\n  font-weight: bold;\n}\n",
            "type": "text/css",
            "title": "$:/plugins/tiddlywiki/highlight/highlight.css",
            "tags": "[[$:/tags/Stylesheet]]"
        },
        "$:/plugins/tiddlywiki/highlight/highlightblock.js": {
            "title": "$:/plugins/tiddlywiki/highlight/highlightblock.js",
            "text": "/*\\\ntitle: $:/plugins/tiddlywiki/highlight/highlightblock.js\ntype: application/javascript\nmodule-type: widget\n\nWraps up the fenced code blocks parser for highlight and use in TiddlyWiki5\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar TYPE_MAPPINGS_BASE = \"$:/config/HighlightPlugin/TypeMappings/\";\n\nvar CodeBlockWidget = require(\"$:/core/modules/widgets/codeblock.js\").codeblock;\n\nvar hljs = require(\"$:/plugins/tiddlywiki/highlight/highlight.js\");\n\nhljs.configure({tabReplace: \"    \"});\t\n\nCodeBlockWidget.prototype.postRender = function() {\n\tvar domNode = this.domNodes[0],\n\t\tlanguage = this.language,\n\t\ttiddler = this.wiki.getTiddler(TYPE_MAPPINGS_BASE + language);\n\tif(tiddler) {\n\t\tlanguage = tiddler.fields.text || \"\";\n\t}\n\tif(language && hljs.getLanguage(language)) {\n\t\tdomNode.className = language.toLowerCase() + \" hljs\";\n\t\tif($tw.browser && !domNode.isTiddlyWikiFakeDom) {\n\t\t\thljs.highlightBlock(domNode);\t\t\t\n\t\t} else {\n\t\t\tvar text = domNode.textContent;\n\t\t\tdomNode.children[0].innerHTML = hljs.fixMarkup(hljs.highlight(language,text).value);\n\t\t\t// If we're using the fakedom then specially save the original raw text\n\t\t\tif(domNode.isTiddlyWikiFakeDom) {\n\t\t\t\tdomNode.children[0].textInnerHTML = text;\n\t\t\t}\n\t\t}\n\t}\t\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/plugins/tiddlywiki/highlight/howto": {
            "title": "$:/plugins/tiddlywiki/highlight/howto",
            "text": "! Supporting Additional Languages\n \nThe [[highlight.js|https://github.com/highlightjs/highlight.js]] project supports many languages. Only a subset of these languages are supported by the plugin. It is possible for users to change the set of languages supported by the plugin by following these steps:\n \n# Go to the highlight.js project [[download page|https://highlightjs.org/download/]], select the language definitions to include, and press the Download button to download a zip archive containing customised support files for a highlight.js syntax highlighting server.\n# Locate the `highlight.pack.js` file in the highlight plugin -- on a stock Debian 8 system running Tiddlywiki5 under node-js it is located at `/usr/local/lib/node_modules/tiddlywiki/plugins/tiddlywiki/highlight/files/highlight.pack.js`.\n# Replace the plugin `highlight.pack.js` file located in step 2 with the one from the downloaded archive obtained in step 1.\n# Restart the Tiddlywiki server.\n"
        },
        "$:/plugins/tiddlywiki/highlight/license": {
            "title": "$:/plugins/tiddlywiki/highlight/license",
            "type": "text/plain",
            "text": "Copyright (c) 2006, Ivan Sagalaev\nAll rights reserved.\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n    * Redistributions of source code must retain the above copyright\n      notice, this list of conditions and the following disclaimer.\n    * Redistributions in binary form must reproduce the above copyright\n      notice, this list of conditions and the following disclaimer in the\n      documentation and/or other materials provided with the distribution.\n    * Neither the name of highlight.js nor the names of its contributors\n      may be used to endorse or promote products derived from this software\n      without specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND ANY\nEXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED\nWARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE REGENTS AND CONTRIBUTORS BE LIABLE FOR ANY\nDIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES\n(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;\nLOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND\nON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT\n(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\nSOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n"
        },
        "$:/plugins/tiddlywiki/highlight/readme": {
            "title": "$:/plugins/tiddlywiki/highlight/readme",
            "text": "This plugin provides syntax highlighting of code blocks using v9.18.1 of [[highlight.js|https://github.com/isagalaev/highlight.js]] from Ivan Sagalaev.\n\n! Usage\n\nWhen the plugin is installed it automatically applies highlighting to all codeblocks defined with triple backticks or with the CodeBlockWidget.\n\nThe language can optionally be specified after the opening triple braces:\n\n<$codeblock code=\"\"\"```css\n * { margin: 0; padding: 0; } /* micro reset */\n\nhtml { font-size: 62.5%; }\nbody { font-size: 14px; font-size: 1.4rem; } /* =14px */\nh1   { font-size: 24px; font-size: 2.4rem; } /* =24px */\n```\"\"\"/>\n\nIf no language is specified highlight.js will attempt to automatically detect the language.\n\n! Built-in Language Brushes\n\nThe plugin includes support for the following languages (referred to as \"brushes\" by highlight.js):\n\n* apache\n* arduino\n* arm assembly\n* asciidoc\n* autohotkey\n* awk\n* bash\n* cmake\n* coffeescript\n* cpp\n* cs\n* css\n* diff\n* dockerfile\n* erlang\n* elixir\n* fortran\n* go\n* gradle\n* haskell\n* html\n* http\n* ini\n* intel x86 assembly\n* java\n* javascript\n* json\n* kotlin\n* less\n* lua\n* makefile\n* markdown\n* mathematica\n* matlab\n* nginx\n* objectivec\n* perl\n* php\n* plaintext\n* powershell\n* properties\n* python\n* R\n* ruby\n* rust\n* scss\n* shell session\n* sql\n* swift\n* toml\n* typescript\n* vala\n* vim script\n* xml\n* yaml\n\nYou can also specify the language as a MIME content type (eg `text/html` or `text/css`). The mapping is accomplished via mapping tiddlers whose titles start with `$:/config/HighlightPlugin/TypeMappings/`.\n"
        },
        "$:/plugins/tiddlywiki/highlight/styles": {
            "title": "$:/plugins/tiddlywiki/highlight/styles",
            "tags": "[[$:/tags/Stylesheet]]",
            "text": ".hljs{display:block;overflow-x:auto;padding:.5em;color:#333;background:#f8f8f8;-webkit-text-size-adjust:none}.hljs-comment,.diff .hljs-header,.hljs-javadoc{color:#998;font-style:italic}.hljs-keyword,.css .rule .hljs-keyword,.hljs-winutils,.nginx .hljs-title,.hljs-subst,.hljs-request,.hljs-status{color:#333;font-weight:bold}.hljs-number,.hljs-hexcolor,.ruby .hljs-constant{color:teal}.hljs-string,.hljs-tag .hljs-value,.hljs-phpdoc,.hljs-dartdoc,.tex .hljs-formula{color:#d14}.hljs-title,.hljs-id,.scss .hljs-preprocessor{color:#900;font-weight:bold}.hljs-list .hljs-keyword,.hljs-subst{font-weight:normal}.hljs-class .hljs-title,.hljs-type,.vhdl .hljs-literal,.tex .hljs-command{color:#458;font-weight:bold}.hljs-tag,.hljs-tag .hljs-title,.hljs-rule .hljs-property,.django .hljs-tag .hljs-keyword{color:navy;font-weight:normal}.hljs-attribute,.hljs-variable,.lisp .hljs-body,.hljs-name{color:teal}.hljs-regexp{color:#009926}.hljs-symbol,.ruby .hljs-symbol .hljs-string,.lisp .hljs-keyword,.clojure .hljs-keyword,.scheme .hljs-keyword,.tex .hljs-special,.hljs-prompt{color:#990073}.hljs-built_in{color:#0086b3}.hljs-preprocessor,.hljs-pragma,.hljs-pi,.hljs-doctype,.hljs-shebang,.hljs-cdata{color:#999;font-weight:bold}.hljs-deletion{background:#fdd}.hljs-addition{background:#dfd}.diff .hljs-change{background:#0086b3}.hljs-chunk{color:#aaa}"
        },
        "$:/plugins/tiddlywiki/highlight/usage": {
            "title": "$:/plugins/tiddlywiki/highlight/usage",
            "text": "! Usage\n\nFenced code blocks can have a language specifier added to trigger highlighting in a specific language. Otherwise heuristics are used to detect the language.\n\n```\n ```js\n var a = b + c; // Highlighted as JavaScript\n ```\n```\n! Adding Themes\n\nYou can add themes from highlight.js by copying the CSS to a new tiddler and tagging it with [[$:/tags/Stylesheet]]. The available themes can be found on GitHub:\n\nhttps://github.com/isagalaev/highlight.js/tree/master/src/styles\n"
        }
    }
}

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            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/bold",
            "list-after": "$:/core/ui/EditorToolbar/bold",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/bold",
            "caption": "{{$:/language/Buttons/Bold/Caption}} (Markdown)",
            "description": "{{$:/language/Buttons/Bold/Hint}}",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((bold))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"**\"\n\tsuffix=\"**\"\n/>\n"
        },
        "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-1": {
            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-1",
            "list-after": "$:/core/ui/EditorToolbar/heading-1",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-1",
            "caption": "{{$:/language/Buttons/Heading1/Caption}} (Markdown)",
            "description": "{{$:/language/Buttons/Heading1/Hint}}",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((heading-1))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"1\"\n/>\n"
        },
        "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-2": {
            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-2",
            "list-after": "$:/core/ui/EditorToolbar/heading-2",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-2",
            "caption": "{{$:/language/Buttons/Heading2/Caption}} (Markdown)",
            "description": "{{$:/language/Buttons/Heading2/Hint}}",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((heading-2))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"2\"\n/>\n"
        },
        "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-3": {
            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-3",
            "list-after": "$:/core/ui/EditorToolbar/heading-3",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-3",
            "caption": "{{$:/language/Buttons/Heading3/Caption}} (Markdown)",
            "description": "{{$:/language/Buttons/Heading3/Hint}}",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((heading-3))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"3\"\n/>\n"
        },
        "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-4": {
            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-4",
            "list-after": "$:/core/ui/EditorToolbar/heading-4",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-4",
            "caption": "{{$:/language/Buttons/Heading4/Caption}} (Markdown)",
            "description": "{{$:/language/Buttons/Heading4/Hint}}",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((heading-4))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"4\"\n/>\n"
        },
        "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-5": {
            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-5",
            "list-after": "$:/core/ui/EditorToolbar/heading-5",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-5",
            "caption": "{{$:/language/Buttons/Heading5/Caption}} (Markdown)",
            "description": "{{$:/language/Buttons/Heading5/Hint}}",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((heading-5))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"5\"\n/>\n"
        },
        "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-6": {
            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-6",
            "list-after": "$:/core/ui/EditorToolbar/heading-6",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-6",
            "caption": "{{$:/language/Buttons/Heading6/Caption}} (Markdown)",
            "description": "{{$:/language/Buttons/Heading6/Hint}}",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((heading-6))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"6\"\n/>\n"
        },
        "$:/plugins/tiddlywiki/markdown/EditorToolbar/italic": {
            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/italic",
            "list-after": "$:/core/ui/EditorToolbar/italic",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/italic",
            "caption": "{{$:/language/Buttons/Italic/Caption}} (Markdown)",
            "description": "{{$:/language/Buttons/Italic/Hint}}",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((italic))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"*\"\n\tsuffix=\"*\"\n/>\n"
        },
        "$:/plugins/tiddlywiki/markdown/EditorToolbar/list-bullet": {
            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/list-bullet",
            "list-after": "$:/core/ui/EditorToolbar/list-bullet",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/list-bullet",
            "caption": "{{$:/language/Buttons/ListBullet/Caption}} (Markdown)",
            "description": "{{$:/language/Buttons/ListBullet/Hint}}",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((list-bullet))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"*\"\n\tcount=\"1\"\n/>\n"
        },
        "$:/plugins/tiddlywiki/markdown/EditorToolbar/list-number": {
            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/list-number",
            "list-after": "$:/core/ui/EditorToolbar/list-number",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/list-number",
            "caption": "{{$:/language/Buttons/ListNumber/Caption}} (Markdown)",
            "description": "{{$:/language/Buttons/ListNumber/Hint}}",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((list-number))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"1.\"\n\tcount=\"1\"\n/>\n"
        },
        "$:/plugins/tiddlywiki/markdown/EditorToolbar/mono-line": {
            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/mono-line",
            "list-after": "$:/core/ui/EditorToolbar/mono-line",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/mono-line",
            "caption": "{{$:/language/Buttons/MonoLine/Caption}} (Markdown)",
            "description": "{{$:/language/Buttons/MonoLine/Hint}}",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((mono-line))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"`\"\n\tsuffix=\"`\"\n/>\n"
        },
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docs\");this.truncate=this.normalizeTruncateCfg(t.truncate),this.className=t.className||this.className,this.replaceFn=t.replaceFn||this.replaceFn,this.context=t.context||this}return e.link=function(t,r){return new e(r).link(t)},e.parse=function(t,r){return new e(r).parse(t)},e.prototype.normalizeUrlsCfg=function(e){return null==e&&(e=!0),\"boolean\"==typeof e?{schemeMatches:e,wwwMatches:e,tldMatches:e}:{schemeMatches:\"boolean\"!=typeof e.schemeMatches||e.schemeMatches,wwwMatches:\"boolean\"!=typeof e.wwwMatches||e.wwwMatches,tldMatches:\"boolean\"!=typeof e.tldMatches||e.tldMatches}},e.prototype.normalizeStripPrefixCfg=function(e){return null==e&&(e=!0),\"boolean\"==typeof e?{scheme:e,www:e}:{scheme:\"boolean\"!=typeof e.scheme||e.scheme,www:\"boolean\"!=typeof e.www||e.www}},e.prototype.normalizeTruncateCfg=function(e){return\"number\"==typeof e?{length:e,location:\"end\"}:function(e,t){for(var r in t)t.hasOwnProperty(r)&&void 0===e[r]&&(e[r]=t[r]);return e}(e||{},{length:Number.POSITIVE_INFINITY,location:\"end\"})},e.prototype.parse=function(e){var t=this,r=[\"a\",\"style\",\"script\"],n=0,o=[];return ht(e,{onOpenTag:function(e){r.indexOf(e)>=0&&n++},onText:function(e,r){if(0===n){var s=function(e,t){if(!t.global)throw new Error(\"`splitRegex` must have the 'g' flag set\");for(var r,n=[],o=0;r=t.exec(e);)n.push(e.substring(o,r.index)),n.push(r[0]),o=r.index+r[0].length;return n.push(e.substring(o)),n}(e,/(&nbsp;|&#160;|&lt;|&#60;|&gt;|&#62;|&quot;|&#34;|&#39;)/gi),i=r;s.forEach(function(e,r){if(r%2==0){var n=t.parseText(e,i);o.push.apply(o,n)}i+=e.length})}},onCloseTag:function(e){r.indexOf(e)>=0&&(n=Math.max(n-1,0))},onComment:function(e){},onDoctype:function(e){}}),o=this.compactMatches(o),o=this.removeUnwantedMatches(o)},e.prototype.compactMatches=function(e){e.sort(function(e,t){return e.getOffset()-t.getOffset()});for(var t=0;t<e.length-1;t++){var r=e[t],n=r.getOffset(),o=r.getMatchedText().length,s=n+o;if(t+1<e.length){if(e[t+1].getOffset()===n){var i=e[t+1].getMatchedText().length>o?t:t+1;e.splice(i,1);continue}e[t+1].getOffset()<s&&e.splice(t+1,1)}}return e},e.prototype.removeUnwantedMatches=function(e){return this.hashtag||qe(e,function(e){return\"hashtag\"===e.getType()}),this.email||qe(e,function(e){return\"email\"===e.getType()}),this.phone||qe(e,function(e){return\"phone\"===e.getType()}),this.mention||qe(e,function(e){return\"mention\"===e.getType()}),this.urls.schemeMatches||qe(e,function(e){return\"url\"===e.getType()&&\"scheme\"===e.getUrlMatchType()}),this.urls.wwwMatches||qe(e,function(e){return\"url\"===e.getType()&&\"www\"===e.getUrlMatchType()}),this.urls.tldMatches||qe(e,function(e){return\"url\"===e.getType()&&\"tld\"===e.getUrlMatchType()}),e},e.prototype.parseText=function(e,t){void 0===t&&(t=0),t=t||0;for(var r=this.getMatchers(),n=[],o=0,s=r.length;o<s;o++){for(var 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ut({tagBuilder:e,stripPrefix:this.stripPrefix,stripTrailingSlash:this.stripTrailingSlash,decodePercentEncoding:this.decodePercentEncoding})];return this.matchers=t},e.prototype.getTagBuilder=function(){var e=this.tagBuilder;return e||(e=this.tagBuilder=new Se({newWindow:this.newWindow,truncate:this.truncate,className:this.className})),e},e.version=\"3.11.0\",e.AnchorTagBuilder=Se,e.HtmlTag=Me,e.matcher={Email:st,Hashtag:lt,Matcher:Ue,Mention:pt,Phone:ct,Url:ut},e.match={Email:ze,Hashtag:Pe,Match:Te,Mention:je,Phone:Ie,Url:Oe},e}(),dt=/www|@|\\:\\/\\//;function mt(e){return/^<\\/a\\s*>/i.test(e)}function bt(){var e=[],t=new gt({stripPrefix:!1,url:!0,email:!0,replaceFn:function(t){switch(t.getType()){case\"url\":e.push({text:t.matchedText,url:t.getUrl()});break;case\"email\":e.push({text:t.matchedText,url:\"mailto:\"+t.getEmail().replace(/^mailto:/i,\"\")})}return!1}});return{links:e,autolinker:t}}function vt(e){var 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            "type": "application/javascript",
            "title": "$:/plugins/tiddlywiki/markdown/remarkable.js",
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            "title": "$:/plugins/tiddlywiki/markdown/images/new-markdown-button",
            "tags": "$:/tags/Image",
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        "$:/plugins/tiddlywiki/markdown/new-markdown-button": {
            "title": "$:/plugins/tiddlywiki/markdown/new-markdown-button",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/plugins/tiddlywiki/markdown/images/new-markdown-button}} {{$:/language/Buttons/NewMarkdown/Caption}}",
            "description": "{{$:/language/Buttons/NewMarkdown/Hint}}",
            "list-after": "$:/core/ui/Buttons/new-tiddler",
            "text": "\\whitespace trim\n<$button tooltip={{$:/language/Buttons/NewMarkdown/Hint}} aria-label={{$:/language/Buttons/NewMarkdown/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-new-tiddler\" type=\"text/x-markdown\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/tiddlywiki/markdown/images/new-markdown-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewMarkdown/Caption}}/></span>\n</$list>\n</$button>\n"
        },
        "$:/plugins/tiddlywiki/markdown/readme": {
            "title": "$:/plugins/tiddlywiki/markdown/readme",
            "text": "This is a TiddlyWiki plugin for parsing Markdown text, using the [[Remarkable|https://github.com/jonschlinkert/remarkable]] library.\n\nIt is completely self-contained, and doesn't need an Internet connection in order to work. It works both in the browser and under Node.js.\n\n[[Source code|https://github.com/Jermolene/TiddlyWiki5/blob/master/plugins/tiddlywiki/markdown]]\n"
        },
        "$:/plugins/tiddlywiki/markdown/usage": {
            "title": "$:/plugins/tiddlywiki/markdown/usage",
            "text": "! Plugin Configuration\n\n|!Config |!Default |!Description |\n| <code>[[breaks|$:/config/markdown/breaks]]</code>| ``false``|Remarkable library config: Convert '\\n' in paragraphs into ``<br>`` |\n| <code>[[linkify|$:/config/markdown/linkify]]</code>| ``false``|Remarkable library config: Autoconvert URL-like text to links |\n| <code>[[linkNewWindow|$:/config/markdown/linkNewWindow]]</code>| ``true``|For external links, should clicking on them open a new window/tab automatically? |\n| <code>[[quotes|$:/config/markdown/quotes]]</code>| ``“”‘’``|Remarkable library config: Double + single quotes replacement pairs, when ``typographer`` enabled |\n| <code>[[renderWikiText|$:/config/markdown/renderWikiText]]</code>| ``true``|After Markdown is parsed, should any text elements be handed off to the ~WikiText parser for further processing? |\n| <code>[[renderWikiTextPragma|$:/config/markdown/renderWikiTextPragma]]</code>| ``\\rules only html image macrocallinline syslink transcludeinline wikilink filteredtranscludeblock macrocallblock transcludeblock``|When handing off to the ~WikiText parser, what pragma rules should it follow? |\n| <code>[[typographer|$:/config/markdown/typographer]]</code>| ``false``|Remarkable library config: Enable some language-neutral replacement + quotes beautification |\n\n! Creating ~WikiLinks\n\nCreate wiki links with the usual Markdown link syntax targeting `#` and the target tiddler title:\n\n```\n[link text](#TiddlerTitle)\n```\n\nIf the target tiddler has a space in its name, that name must be URL-escaped to be detected as a URL:\n\n```\n[link text](#Test%20Tiddler)\n```\n\n! Images\n\nMarkdown image syntax can be used to reference images by tiddler title or an external URI. For example:\n\n```\n![alt text](/path/to/img.jpg \"Title\")\n\n![alt text](Motovun Jack.jpg \"Title\")\n```\n"
        },
        "$:/plugins/tiddlywiki/markdown/wrapper.js": {
            "title": "$:/plugins/tiddlywiki/markdown/wrapper.js",
            "text": "/*\\\ntitle: $:/plugins/tiddlywiki/markdown/wrapper.js\ntype: application/javascript\nmodule-type: parser\n\nWraps up the remarkable parser for use as a Parser in TiddlyWiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar r = require(\"$:/plugins/tiddlywiki/markdown/remarkable.js\");\n\nvar Remarkable = r.Remarkable,\n\tlinkify = r.linkify,\n\tutils = r.utils;\n\n///// Set up configuration options /////\nfunction parseAsBoolean(tiddlerName) {\n\treturn $tw.wiki.getTiddlerText(tiddlerName).toLowerCase() === \"true\";\n}\nvar pluginOpts = {\n\tlinkNewWindow: parseAsBoolean(\"$:/config/markdown/linkNewWindow\"),\n\trenderWikiText: parseAsBoolean(\"$:/config/markdown/renderWikiText\"),\n\trenderWikiTextPragma: $tw.wiki.getTiddlerText(\"$:/config/markdown/renderWikiTextPragma\").trim()\n};\nvar remarkableOpts = {\n\tbreaks: parseAsBoolean(\"$:/config/markdown/breaks\"),\n\tquotes: $tw.wiki.getTiddlerText(\"$:/config/markdown/quotes\"),\n\ttypographer: parseAsBoolean(\"$:/config/markdown/typographer\")\n};\n\nvar md = new Remarkable(remarkableOpts);\n\nif (parseAsBoolean(\"$:/config/markdown/linkify\")) {\n\tmd = md.use(linkify);\n}\n\nfunction findTagWithType(nodes, startPoint, type, level) {\n\tfor (var i = startPoint; i < nodes.length; i++) {\n\t\tif (nodes[i].type === type && nodes[i].level === level) {\n\t\t\treturn i;\n\t\t}\n\t}\n\treturn false;\n}\n\n/**\n * Remarkable creates nodes that look like:\n * [\n *   { type: 'paragraph_open'},\n *   { type: 'inline', content: 'Hello World', children:[{type: 'text', content: 'Hello World'}]},\n *   { type: 'paragraph_close'}\n * ]\n *\n * But TiddlyWiki wants the Parser (https://tiddlywiki.com/dev/static/Parser.html) to emit nodes like:\n *\n * [\n *   { type: 'element', tag: 'p', children: [{type: 'text', text: 'Hello World'}]}\n * ]\n */\nfunction convertNodes(remarkableTree, isStartOfInline) {\n\tlet out = [];\n\n\tfunction wrappedElement(elementTag, currentIndex, currentLevel, closingType, nodes) {\n\t\tvar j = findTagWithType(nodes, currentIndex + 1, closingType, currentLevel);\n\t\tif (j === false) {\n\t\t\tconsole.error(\"Failed to find a \" + closingType + \" node after position \" + currentIndex);\n\t\t\tconsole.log(nodes);\n\t\t\treturn currentIndex + 1;\n\t\t}\n\t\tlet children = convertNodes(nodes.slice(currentIndex + 1, j));\n\n\t\tout.push({\n\t\t\ttype: \"element\",\n\t\t\ttag: elementTag,\n\t\t\tchildren: children\n\t\t});\n\t\treturn j;\n\t}\n\n\tfor (var i = 0; i < remarkableTree.length; i++) {\n\t\tvar currentNode = remarkableTree[i];\n\t\tif (currentNode.type === \"paragraph_open\") {\n\t\t\ti = wrappedElement(\"p\", i, currentNode.level, \"paragraph_close\", remarkableTree);\n\t\t} else if (currentNode.type === \"heading_open\") {\n\t\t\ti = wrappedElement(\"h\" + currentNode.hLevel, i, currentNode.level, \"heading_close\", remarkableTree);\n\t\t} else if (currentNode.type === \"bullet_list_open\") {\n\t\t\ti = wrappedElement(\"ul\", i, currentNode.level, \"bullet_list_close\", remarkableTree);\n\t\t} else if (currentNode.type == 'ordered_list_open') {\n\t\t\ti = wrappedElement('ol', i, currentNode.level,'ordered_list_close', remarkableTree);\n\t\t} else if (currentNode.type === \"list_item_open\") {\n\t\t\ti = wrappedElement(\"li\", i, currentNode.level, \"list_item_close\", remarkableTree);\n\t\t} else if (currentNode.type === \"link_open\") {\n\t\t\tvar j = findTagWithType(remarkableTree, i + 1, \"link_close\", currentNode.level);\n\n\t\t\tif (currentNode.href[0] !== \"#\") {\n\t\t\t\t// External link\n\t\t\t\tvar attributes = {\n\t\t\t\t\thref: { type: \"string\", value: currentNode.href }\n\t\t\t\t};\n\t\t\t\tif (pluginOpts.linkNewWindow) {\n\t\t\t\t\tattributes.target = { type: \"string\", value: \"_blank\" };\n\t\t\t\t}\n\t\t\t\tout.push({\n\t\t\t\t\ttype: \"element\",\n\t\t\t\t\ttag: \"a\",\n\t\t\t\t\tattributes: attributes,\n\t\t\t\t\tchildren: convertNodes(remarkableTree.slice(i + 1, j))\n\t\t\t\t});\n\t\t\t} else {\n\t\t\t\t// Internal link\n\t\t\t\tout.push({\n\t\t\t\t\ttype: \"link\",\n\t\t\t\t\tattributes: {\n\t\t\t\t\t\tto: { type: \"string\", value: decodeURI(currentNode.href.substr(1)) }\n\t\t\t\t\t},\n\t\t\t\t\tchildren: convertNodes(remarkableTree.slice(i + 1, j))\n\t\t\t\t});\n\t\t\t}\n\t\t\ti = j;\n\t\t} else if (currentNode.type.substr(currentNode.type.length - 5) === \"_open\") {\n\t\t\tvar tagName = currentNode.type.substr(0, currentNode.type.length - 5);\n\t\t\ti = wrappedElement(tagName, i, currentNode.level, tagName + \"_close\", remarkableTree);\n\t\t} else if (currentNode.type === \"code\") {\n\t\t\tout.push({\n\t\t\t\ttype: \"element\",\n\t\t\t\ttag: currentNode.block ? \"pre\" : \"code\",\n\t\t\t\tchildren: [{ type: \"text\", text: currentNode.content }]\n\t\t\t});\n\t\t} else if (currentNode.type === \"fence\") {\n\t\t\tout.push({\n\t\t\t\ttype: \"codeblock\",\n\t\t\t\tattributes: {\n\t\t\t\t\tlanguage: { type: \"string\", value: currentNode.params },\n\t\t\t\t\tcode: { type: \"string\", value: currentNode.content }\n\t\t\t\t}\n\t\t\t});\n\t\t} else if (currentNode.type === \"image\") {\n\t\t\tout.push({\n\t\t\t\ttype: \"image\",\n\t\t\t\tattributes: {\n\t\t\t\t\ttooltip: { type: \"string\", value: currentNode.alt },\n\t\t\t\t\tsource: { type: \"string\", value: currentNode.src }\n\t\t\t\t}\n\t\t\t});\n\t\t} else if (currentNode.type === \"softbreak\") {\n\t\t\tout.push({\n\t\t\t\ttype: \"element\",\n\t\t\t\ttag: \"br\",\n\t\t\t});\n\t\t} else if (currentNode.type == 'hr') {\n\t\t\tout.push({\n\t\t\t\ttype: 'element',\n\t\t\t\ttag: 'hr',\n\t\t\t});\n\t\t} else if (currentNode.type === \"inline\") {\n\t\t\tout = out.concat(convertNodes(currentNode.children, true));\n\t\t} else if (currentNode.type === \"text\") {\n\t\t\tif (!pluginOpts.renderWikiText) {\n\t\t\t\tout.push({\n\t\t\t\t\ttype: \"text\",\n\t\t\t\t\ttext: currentNode.content\n\t\t\t\t});\n\t\t\t} else {\n\t\t\t\t// The Markdown compiler thinks this is just text.\n\t\t\t\t// Hand off to the WikiText parser to see if there's more to render\n\n\t\t\t\t// If we're inside a block element (div, p, td, h1), and this is the first child in the tree,\n\t\t\t\t// handle as a block-level parse. Otherwise not.\n\t\t\t\tvar parseAsInline = !(isStartOfInline && i === 0);\n\t\t\t\tvar textToParse = currentNode.content;\n\t\t\t\tif (pluginOpts.renderWikiTextPragma !== \"\") {\n\t\t\t\t\ttextToParse = pluginOpts.renderWikiTextPragma + \"\\n\" + textToParse;\n\t\t\t\t}\n\t\t\t\tvar wikiParser = $tw.wiki.parseText(\"text/vnd.tiddlywiki\", textToParse, {\n\t\t\t\t\tparseAsInline: parseAsInline\n\t\t\t\t});\n\t\t\t\tvar rs = wikiParser.tree;\n\n\t\t\t\t// If we parsed as a block, but the root element the WikiText parser gave is a paragraph,\n\t\t\t\t// we should discard the paragraph, since the way Remarkable nests its nodes, this \"inline\"\n\t\t\t\t// node is always inside something else that's a block-level element\n\t\t\t\tif (!parseAsInline\n\t\t\t\t\t&& rs.length === 1\n\t\t\t\t\t&& rs[0].type === \"element\"\n\t\t\t\t\t&& rs[0].tag === \"p\"\n\t\t\t\t) {\n\t\t\t\t\trs = rs[0].children;\n\t\t\t\t}\n\n\t\t\t\t// If the original text element started with a space, add it back in\n\t\t\t\tif (rs.length > 0\n\t\t\t\t\t&& rs[0].type === \"text\"\n\t\t\t\t\t&& currentNode.content[0] === \" \"\n\t\t\t\t) {\n\t\t\t\t\trs[0].text = \" \" + rs[0].text;\n\t\t\t\t}\n\t\t\t\tout = out.concat(rs);\n\t\t\t}\n\t\t} else {\n\t\t\tconsole.error(\"Unknown node type: \" + currentNode.type, currentNode);\n\t\t\tout.push({\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: currentNode.content\n\t\t\t});\n\t\t}\n\t}\n\treturn out;\n}\n\nvar MarkdownParser = function(type, text, options) {\n\tvar tree = md.parse(text, {});\n\t//console.debug(tree);\n\ttree = convertNodes(tree);\n\t//console.debug(tree);\n\n\tthis.tree = tree;\n};\n\nexports[\"text/x-markdown\"] = MarkdownParser;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "parser"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/tiddlywiki/railroad/components.js": {
            "title": "$:/plugins/tiddlywiki/railroad/components.js",
            "text": "/*\\\ntitle: $:/plugins/tiddlywiki/railroad/components.js\ntype: application/javascript\nmodule-type: library\n\nComponents of a railroad diagram.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar railroad = require(\"$:/plugins/tiddlywiki/railroad/railroad-diagrams.js\");\n\n/////////////////////////// Base component\n\nvar Component = function() {\n\tthis.type = \"Component\";\n};\n\n// Set up a leaf component\nComponent.prototype.initialiseLeaf = function(type,text) {\n\tthis.type = type;\n\tthis.text = text;\n};\n\n// Set up a component with a single child\nComponent.prototype.initialiseWithChild = function(type,content) {\n\tthis.type = type;\n\tthis.child = toSingleChild(content);\n};\n\n// Set up a component with an array of children\nComponent.prototype.initialiseWithChildren = function(type,content) {\n\tthis.type = type;\n\t// Force the content to be an array\n\tthis.children = $tw.utils.isArray(content) ? content : [content];\n}\n\n// Return an array of the SVG strings of an array of children\nComponent.prototype.getSvgOfChildren = function() {\n\treturn this.children.map(function(child) {\n\t\treturn child.toSvg();\n\t});\n}\n\nComponent.prototype.toSvg = function() {\n\treturn \"\";\n}\n\nComponent.prototype.debug = function(output,indent) {\n\toutput.push(indent);\n\toutput.push(this.type);\n\t// Add the text of a leaf component\n\tif(this.text && this.text !== \"\") {\n\t\toutput.push(\": \");\n\t\toutput.push(this.text);\n\t}\n\t// Flag the normal route\n\tif(this.normal !== undefined) {\n\t\tif(this.normal === true) {\n\t\t\toutput.push(\" (normal)\");\n\t\t} else if(this.normal !== false) {\n\t\t\toutput.push(\" (normal: \");\n\t\t\toutput.push(this.normal);\n\t\t\toutput.push(\")\");\n\t\t}\n\t}\n\toutput.push(\"\\n\");\n\tvar contentIndent = indent + \"  \";\n\t// Add the one child\n\tif(this.child) {\n\t\tthis.child.debug(output,contentIndent);\n\t}\n\t// Add the array of children\n\tif(this.children) {\n\t\tthis.debugArray(this.children,output,contentIndent);\n\t}\n  \t// Add the separator if there is one\n\tif(this.separator) {\n\t\toutput.push(indent);\n\t\toutput.push(\"(separator)\\n\");\n\t\tthis.separator.debug(output,contentIndent);\n\t}\n};\n\nComponent.prototype.debugArray = function(array,output,indent) {\n\tfor(var i=0; i<array.length; i++) {\n\t\tvar item = array[i];\n\t\t// Choice content is a special case: we number the branches\n\t\tif(item.isChoiceBranch) {\n\t\t\toutput.push(indent);\n\t\t\toutput.push(\"(\");\n\t\t\toutput.push(i);\n\t\t\toutput.push(\")\\n\");\n\t\t\titem.debug(output,\"  \"+indent);\n\t\t} else {\n\t\t\titem.debug(output,indent);\n\t\t}\n\t}\n}\n\nvar toSingleChild = function(content) {\n\tif($tw.utils.isArray(content)) {\n\t\t// Reduce an array of one child to just the child\n\t\tif(content.length === 1) {\n\t\t\treturn content[0];\n\t\t} else {\n\t\t\t// Never allow an empty sequence\n\t\t  \tif(content.length === 0) {\n  \t\t\t\tcontent.push(new Dummy());\n\t\t  \t}\n\t\t\t// Wrap multiple children into a single sequence component\n\t\t\treturn new Sequence(content);\n\t\t}\n\t} else {\n\t\t// Already single\n\t\treturn content;\n\t}\n}\n\n/////////////////////////// Leaf components\n\nvar Comment = function(text) {\n\tthis.initialiseLeaf(\"Comment\",text);\n};\n\nComment.prototype = new Component();\n\nComment.prototype.toSvg = function() {\n\treturn railroad.Comment(this.text);\n}\n\nvar Dummy = function() {\n\tthis.initialiseLeaf(\"Dummy\");\n};\n\nDummy.prototype = new Component();\n\nDummy.prototype.toSvg = function() {\n\treturn railroad.Skip();\n}\n\nvar Nonterminal = function(text) {\n\tthis.initialiseLeaf(\"Nonterminal\",text);\n};\n\nNonterminal.prototype = new Component();\n\nNonterminal.prototype.toSvg = function() {\n\treturn railroad.NonTerminal(this.text);\n}\n\nvar Terminal = function(text) {\n\tthis.initialiseLeaf(\"Terminal\",text);\n};\n\nTerminal.prototype = new Component();\n\nTerminal.prototype.toSvg = function() {\n\treturn railroad.Terminal(this.text);\n}\n\n/////////////////////////// Components with one child\n\nvar Optional = function(content,normal) {\n\tthis.initialiseWithChild(\"Optional\",content);\n\tthis.normal = normal;\n};\n\nOptional.prototype = new Component();\n\nOptional.prototype.toSvg = function() {\n\t// Call Optional(component,\"skip\")\n\treturn railroad.Optional(this.child.toSvg(), this.normal ? undefined : \"skip\");\n}\n\nvar OptionalRepeated = function(content,separator,normal,wantArrow) {\n\tthis.initialiseWithChild(\"OptionalRepeated\",content);\n\tthis.separator = toSingleChild(separator);\n\tthis.normal = normal;\n\tthis.wantArrow = wantArrow;\n};\n\nOptionalRepeated.prototype = new Component();\n\nOptionalRepeated.prototype.toSvg = function() {\n\t// Call ZeroOrMore(component,separator,\"skip\")\n\tvar separatorSvg = this.separator ? this.separator.toSvg() : null;\n\tvar skip = this.normal ? undefined : \"skip\";\n\treturn railroad.ZeroOrMore(this.child.toSvg(),separatorSvg,skip,this.wantArrow);\n}\n\nvar Repeated = function(content,separator,wantArrow) {\n\tthis.initialiseWithChild(\"Repeated\",content);\n\tthis.separator = toSingleChild(separator);\n\tthis.wantArrow = wantArrow;\n};\n\nRepeated.prototype = new Component();\n\nRepeated.prototype.toSvg = function() {\n\t// Call OneOrMore(component,separator)\n\tvar separatorSvg = this.separator ? this.separator.toSvg() : null;\n\treturn railroad.OneOrMore(this.child.toSvg(),separatorSvg,this.wantArrow);\n}\n\nvar Link = function(content,options) {\n\tthis.initialiseWithChild(\"Link\",content);\n\tthis.options = options;\n};\n\nLink.prototype = new Component();\n\nLink.prototype.toSvg = function() {\n\treturn railroad.Link(this.child.toSvg(),this.options);\n}\n\nvar Transclusion = function(content) {\n\tthis.initialiseWithChild(\"Transclusion\",content);\n};\n\nTransclusion.prototype = new Component();\n\nTransclusion.prototype.toSvg = function() {\n\treturn this.child.toSvg();\n}\n\n/////////////////////////// Components with an array of children\n\nvar Root = function(content) {\n\tthis.initialiseWithChildren(\"Root\",content);\n};\n\nRoot.prototype = new Component();\n\nRoot.prototype.toSvg = function(options) {\n\tvar args = this.getSvgOfChildren();\n\targs.unshift(options);\n\t// Call Diagram(options,component1,component2,...)\n\treturn railroad.Diagram.apply(null,args);\n}\n\nvar Sequence = function(content) {\n\tthis.initialiseWithChildren(\"Sequence\",content);\n};\n\nSequence.prototype = new Component();\n\nSequence.prototype.toSvg = function() {\n\t// Call Sequence(component1,component2,...)\n\treturn railroad.Sequence.apply(null,this.getSvgOfChildren());\n}\n\nvar Choice = function(content,normal) {\n\tthis.initialiseWithChildren(\"Choice\",content.map(toSingleChild));\n\tfor(var i=0; i<this.children.length; i++) {\n\t\tthis.children[i].isChoiceBranch = true;\n\t}\n\tthis.normal = normal;\n};\n\nChoice.prototype = new Component();\n\nChoice.prototype.toSvg = function() {\n\t// Call Choice(normal,component1,component2,...)\n\tvar args = this.getSvgOfChildren();\n\targs.unshift(this.normal);\n\treturn railroad.Choice.apply(null,args);\n}\n\n/////////////////////////// Exports\n\nexports.components = {\n\tChoice: Choice,\n\tComment: Comment,\n\tDummy: Dummy,\n\tLink: Link,\n\tNonterminal: Nonterminal,\n\tOptional: Optional,\n\tOptionalRepeated: OptionalRepeated,\n\tRepeated: Repeated,\n\tRoot: Root,\n\tSequence: Sequence,\n\tTerminal: Terminal,\n\tTransclusion: Transclusion\n};\n\n})();",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/tiddlywiki/railroad/example-source": {
            "title": "$:/plugins/tiddlywiki/railroad/example-source",
            "created": "20150103184022184",
            "modified": "20150119214125000",
            "tags": "",
            "type": "text/vnd.tiddlywiki.railroad",
            "text": "[\"+\"]\n({ [[digit|GettingStarted]] } | \"#\" <'escape sequence'>)\n[{(\"@\" name-char | :\"--\" )}]\n"
        },
        "$:/plugins/tiddlywiki/railroad/example": {
            "title": "$:/plugins/tiddlywiki/railroad/example",
            "created": "20150102165032410",
            "modified": "20150120090735000",
            "tags": "",
            "text": "Notation:\n\n<pre><code><$text text={{$:/plugins/tiddlywiki/railroad/example-source}}/></code></pre>\n\nDiagram:\n\n{{$:/plugins/tiddlywiki/railroad/example-source}}\n\nDebug mode:\n\n<$railroad debug=\"yes\" text={{$:/plugins/tiddlywiki/railroad/example-source}}/>\n"
        },
        "$:/plugins/tiddlywiki/railroad/readme": {
            "title": "$:/plugins/tiddlywiki/railroad/readme",
            "created": "20150102163222184",
            "modified": "20150119231005000",
            "text": "This plugin provides a `<$railroad>` widget for generating railroad diagrams as SVG images.\n\nAlternatively, the [[diagram notation|$:/plugins/tiddlywiki/railroad/syntax]] can be stored in a dedicated tiddler with its `type` field set to `text/vnd.tiddlywiki.railroad`, and that tiddler can simply be transcluded to wherever it is needed.\n\nThe plugin is based on [[a library by Tab Atkins|https://github.com/tabatkins/railroad-diagrams]], and has been extended to make it more flexible, including allowing components of a diagram to function as links or be transcluded from other tiddlers.\n"
        },
        "$:/plugins/tiddlywiki/railroad/syntax-string": {
            "title": "$:/plugins/tiddlywiki/railroad/syntax-string",
            "created": "20150103184022184",
            "modified": "20150103184022184",
            "text": "('\"' text '\"' | \"'\" text \"'\" | '\"\"\"' text '\"\"\"')"
        },
        "$:/plugins/tiddlywiki/railroad/syntax": {
            "title": "$:/plugins/tiddlywiki/railroad/syntax",
            "created": "20150103184022184",
            "modified": "20150119220342000",
            "text": "The railroad widget uses a special notation to construct the components defined below.\n\n`x` and `y` here stand for any component.\n\nNames (as opposed to quoted strings) are available when a value starts with a letter and contains only letters, digits, underscores, dots and hyphens.\n\n---\n\n; sequence\n: <$railroad text=\"\"\" [\"<-\"] {x} [\"->\"] \"\"\"/>\n* A sequence of components\n* The `<-` and `->` delimiters allow you to force a single component to be treated as a sequence. This is occasionally useful for spacing a diagram out\n\n---\n\n; optional\n: <$railroad text=\"\"\" \"[\" [\":\"] x \"]\" \"\"\"/>\n* A component that can be omitted\n* The colon makes `x` appear straight ahead\n\n---\n\n; repeated\n: <$railroad text=\"\"\" \"{\" x [:\"+\" y] \"}\" \"\"\"/>\n* A list of one or more `x`\n* The `+` suffix adds `y` as a separator between each `x` and the next\n\n---\n\n; optional repeated\n: <$railroad text=\"\"\" \"[{\" [\":\"] x [:\"+\" y] \"}]\" \"\"\"/>\n* An optional list of `x`, i.e. a list of zero or more `x`\n\n---\n\n; choice\n: <$railroad text=\"\"\" \"(\" {[:\":\"] x +\"|\"} \")\" \"\"\"/>\n* A set of alternatives\n* The colon indicates which branch appears straight ahead. By default, it's the first branch\n\n---\n\n; string / terminal\n: <$railroad text={{$:/plugins/tiddlywiki/railroad/syntax-string}}/>\n* A literal or terminal component\n* This follows the normal ~TiddlyWiki rules for quoted strings\n\n---\n\n; nonterminal\n: <$railroad text=\"\"\" (name | \"<\" string \">\") \"\"\"/>\n* A nonterminal component, i.e. the name of another diagram\n\n---\n\n; comment\n: <$railroad text=\"\"\" \"/\" string \"/\" \"\"\"/>\n* A comment\n\n---\n\n; dummy\n: <$railroad text=\"\"\" \"-\" \"\"\"/>\n* The absence of a component\n\n---\n\n; link\n: <$railroad text=\"\"\" \"[[\" x \"|\" (name|string) \"]]\" \"\"\"/>\n* A link to the tiddler title or URI given by the string or name\n\n---\n\n; transclusion\n: <$railroad text=\"\"\" \"{{\" (name|string) \"}}\" \"\"\"/>\n* Treats the content of another tiddler as diagram syntax and transcludes it into the current diagram\n\n---\n\n; arrow pragma\n: <$railroad text=\"\"\" \"\\arrow\" (\"yes\" | \"no\") \"\"\"/>\n* Controls whether repeat paths have an arrow on them\n* Can be toggled on and off in mid-diagram, if desired\n\n---\n\n; debug pragma\n: <$railroad text=\"\"\" \"\\debug\" \"\"\"/>\n* Causes the diagram to display its parse tree\n\n---\n\n; start/end pragma\n: <$railroad text=\"\"\" (\"\\start\" |: \"\\end\") (\"none\" |: \"single\" | \"double\") \"\"\"/>\n* Controls the style of the diagram's startpoint or endpoint\n"
        },
        "$:/plugins/tiddlywiki/railroad/usage": {
            "title": "$:/plugins/tiddlywiki/railroad/usage",
            "created": "20150102163222184",
            "modified": "20150119231005000",
            "text": "The content of the `<$railroad>` widget is ignored.\n\n|!Attribute |!Description |!Default |\n|text |Text in a special notation that defines the diagram's layout |-- |\n|arrow |If set to `no`, repeat paths do not have an arrow on them |`yes` |\n|start |Style of the startpoint: `single`, `double`, `none` |`single` |\n|end |Style of the endpoint: `single`, `double`, `none` |`single` |\n|debug |If set to `yes`, the diagram displays its parse tree |`no` |\n\nThese options can also be specified via pragmas in the diagram notation, or globally via a dictionary tiddler called `$:/config/railroad`:\n\n```\narrow: yes\nstart: single\nend: single\ndebug: no\n```\n"
        },
        "$:/plugins/tiddlywiki/railroad/railroad-diagrams.css": {
            "text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline macrocallblock\n\n/* CSS modified for TiddlyWiki */\n\nsvg.railroad-diagram {\n\tbackground-color: <<colour background>>;\n\tborder-radius: 5px;\n}\n/*\nsvg.railroad-diagram:hover {\n\tbackground-color: hsl(30,20%,96%);\n}\n*/\nsvg.railroad-diagram path,\nsvg.railroad-diagram rect {\n\tstroke-width: 2;\n\tstroke: <<colour message-border>>;\n}\nsvg.railroad-diagram path {\n\tfill: <<colour background>>;\n}\nsvg.railroad-diagram rect {\n\tfill: <<colour message-background>>;\n}\nsvg.railroad-diagram text {\n\tfont: 14px monospace;\n\ttext-anchor: middle;\n\tfill: <<colour message-foreground>>;\n}\nsvg.railroad-diagram text.label {\n\ttext-anchor: start;\n}\nsvg.railroad-diagram text.comment {\n\tfont: italic 12px monospace;\n}\nsvg.railroad-diagram path.arrow {\n    stroke-width: 2;\n}",
            "type": "text/vnd.tiddlywiki",
            "title": "$:/plugins/tiddlywiki/railroad/railroad-diagrams.css",
            "tags": "$:/tags/Stylesheet"
        },
        "$:/plugins/tiddlywiki/railroad/railroad-diagrams.js": {
            "text": "(function(document) {\n/* TiddlyWiki: modifications to the original library are commented like this */\n\n/*\nRailroad Diagrams\nby Tab Atkins Jr. (and others)\nhttp://xanthir.com\nhttp://twitter.com/tabatkins\nhttp://github.com/tabatkins/railroad-diagrams\n\nThis document and all associated files in the github project are licensed under CC0: http://creativecommons.org/publicdomain/zero/1.0/\nThis means you can reuse, remix, or otherwise appropriate this project for your own use WITHOUT RESTRICTION.\n(The actual legal meaning can be found at the above link.)\nDon't ask me for permission to use any part of this project, JUST USE IT.\nI would appreciate attribution, but that is not required by the license.\n*/\n\n/*\nThis file uses a module pattern to avoid leaking names into the global scope.\nThe only accidental leakage is the name \"temp\".\nThe exported names can be found at the bottom of this file;\nsimply change the names in the array of strings to change what they are called in your application.\n\nAs well, several configuration constants are passed into the module function at the bottom of this file.\nAt runtime, these constants can be found on the Diagram class.\n*/\n\nvar temp = (function(options) {\n\tfunction subclassOf(baseClass, superClass) {\n\t\tbaseClass.prototype = Object.create(superClass.prototype);\n\t\tbaseClass.prototype.$super = superClass.prototype;\n\t}\n\n\tfunction unnull(/* children */) {\n\t\treturn [].slice.call(arguments).reduce(function(sofar, x) { return sofar !== undefined ? sofar : x; });\n\t}\n\n\tfunction determineGaps(outer, inner) {\n\t\tvar diff = outer - inner;\n\t\tswitch(Diagram.INTERNAL_ALIGNMENT) {\n\t\t\tcase 'left': return [0, diff]; break;\n\t\t\tcase 'right': return [diff, 0]; break;\n\t\t\tcase 'center':\n\t\t\tdefault: return [diff/2, diff/2]; break;\n\t\t}\n\t}\n\n\tfunction wrapString(value) {\n\t\treturn ((typeof value) == 'string') ? new Terminal(value) : value;\n\t}\n\n\n\tfunction SVG(name, attrs, text) {\n\t\tattrs = attrs || {};\n\t\ttext = text || '';\n\t\tvar el = document.createElementNS(\"http://www.w3.org/2000/svg\",name);\n\t\tfor(var attr in attrs) {\n\t\t\tel.setAttribute(attr, attrs[attr]);\n\t\t}\n\t\tel.textContent = text;\n\t\treturn el;\n\t}\n\n\tfunction FakeSVG(tagName, attrs, text){\n\t\tif(!(this instanceof FakeSVG)) return new FakeSVG(tagName, attrs, text);\n\t\tif(text) this.children = text;\n\t\telse this.children = [];\n\t\tthis.tagName = tagName;\n\t\tthis.attrs = unnull(attrs, {});\n\t\treturn this;\n\t};\n\tFakeSVG.prototype.format = function(x, y, width) {\n\t\t// Virtual\n\t};\n\tFakeSVG.prototype.addTo = function(parent) {\n\t\tif(parent instanceof FakeSVG) {\n\t\t\tparent.children.push(this);\n\t\t\treturn this;\n\t\t} else {\n\t\t\tvar svg = this.toSVG();\n\t\t\tparent.appendChild(svg);\n\t\t\treturn svg;\n\t\t}\n\t};\n\tFakeSVG.prototype.toSVG = function() {\n\t\tvar el = SVG(this.tagName, this.attrs);\n\t\tif(typeof this.children == 'string') {\n\t\t\tel.textContent = this.children;\n\t\t} else {\n\t\t\tthis.children.forEach(function(e) {\n\t\t\t\tel.appendChild(e.toSVG());\n\t\t\t});\n\t\t}\n\t\treturn el;\n\t};\n\tFakeSVG.prototype.toString = function() {\n\t\tvar str = '<' + this.tagName;\n\t\tvar group = this.tagName == \"g\" || this.tagName == \"svg\";\n\t\tfor(var attr in this.attrs) {\n\t\t\tstr += ' ' + attr + '=\"' + (this.attrs[attr]+'').replace(/&/g, '&amp;').replace(/\"/g, '&quot;') + '\"';\n\t\t}\n\t\tstr += '>';\n\t\tif(group) str += \"\\n\";\n\t\tif(typeof this.children == 'string') {\n\t\t\tstr += this.children.replace(/&/g, '&amp;').replace(/</g, '&lt;');\n\t\t} else {\n\t\t\tthis.children.forEach(function(e) {\n\t\t\t\tstr += e;\n\t\t\t});\n\t\t}\n\t\tstr += '</' + this.tagName + '>\\n';\n\t\treturn str;\n\t}\n\n\tfunction Path(x,y,attrs) {\n\t\tif(!(this instanceof Path)) return new Path(x,y,attrs);\n\t\tFakeSVG.call(this, 'path', attrs);\n\t\tthis.attrs.d = \"M\"+x+' '+y;\n\t}\n\tsubclassOf(Path, FakeSVG);\n\tPath.prototype.m = function(x,y) {\n\t\tthis.attrs.d += 'm'+x+' '+y;\n\t\treturn this;\n\t}\n\tPath.prototype.h = function(val) {\n\t\tthis.attrs.d += 'h'+val;\n\t\treturn this;\n\t}\n\tPath.prototype.right = Path.prototype.h;\n\tPath.prototype.left = function(val) { return this.h(-val); }\n\tPath.prototype.v = function(val) {\n\t\tthis.attrs.d += 'v'+val;\n\t\treturn this;\n\t}\n\tPath.prototype.down = Path.prototype.v;\n\tPath.prototype.up = function(val) { return this.v(-val); }\n\tPath.prototype.arc = function(sweep){\n\t\tvar x = Diagram.ARC_RADIUS;\n\t\tvar y = Diagram.ARC_RADIUS;\n\t\tif(sweep[0] == 'e' || sweep[1] == 'w') {\n\t\t\tx *= -1;\n\t\t}\n\t\tif(sweep[0] == 's' || sweep[1] == 'n') {\n\t\t\ty *= -1;\n\t\t}\n\t\tif(sweep == 'ne' || sweep == 'es' || sweep == 'sw' || sweep == 'wn') {\n\t\t\tvar cw = 1;\n\t\t} else {\n\t\t\tvar cw = 0;\n\t\t}\n\t\tthis.attrs.d += \"a\"+Diagram.ARC_RADIUS+\" \"+Diagram.ARC_RADIUS+\" 0 0 \"+cw+' '+x+' '+y;\n\t\treturn this;\n\t}\n\tPath.prototype.format = function() {\n\t\t// All paths in this library start/end horizontally.\n\t\t// The extra .5 ensures a minor overlap, so there's no seams in bad rasterizers.\n\t\tthis.attrs.d += 'h.5';\n\t\treturn this;\n\t}\n/* TiddlyWiki: added support for arbitrary straight lines */\n\tPath.prototype.line = function(dx,dy) {\n\t\tthis.attrs.d += \"l\"+dx+\" \"+dy;\n\t\treturn this;\n\t}\n\n/* TiddlyWiki: added twOptions parameter, passing it to Start() and End() */\n\tfunction Diagram(twOptions, items) {\n\t\tif(!(this instanceof Diagram)) return new Diagram(twOptions, [].slice.call(arguments,1));\n\t\tFakeSVG.call(this, 'svg', {class: Diagram.DIAGRAM_CLASS});\n\t\tthis.items = items.map(wrapString);\n\t\tthis.items.unshift(new Start(twOptions.start));\n\t\tthis.items.push(new End(twOptions.end));\n\t\tthis.width = this.items.reduce(function(sofar, el) { return sofar + el.width + (el.needsSpace?20:0)}, 0)+1;\n\t\tthis.up = Math.max.apply(null, this.items.map(function (x) { return x.up; }));\n\t\tthis.down = Math.max.apply(null, this.items.map(function (x) { return x.down; }));\n\t\tthis.formatted = false;\t\t\n\t}\n\tsubclassOf(Diagram, FakeSVG);\n\tfor(var option in options) {\n\t\tDiagram[option] = options[option];\n\t}\n\tDiagram.prototype.format = function(paddingt, paddingr, paddingb, paddingl) {\n\t\tpaddingt = unnull(paddingt, 20);\n\t\tpaddingr = unnull(paddingr, paddingt, 20);\n\t\tpaddingb = unnull(paddingb, paddingt, 20);\n\t\tpaddingl = unnull(paddingl, paddingr, 20);\n\t\tvar x = paddingl;\n\t\tvar y = paddingt;\n\t\ty += this.up;\n\t\tvar g = FakeSVG('g', Diagram.STROKE_ODD_PIXEL_LENGTH ? {transform:'translate(.5 .5)'} : {});\n\t\tfor(var i = 0; i < this.items.length; i++) {\n\t\t\tvar item = this.items[i];\n\t\t\tif(item.needsSpace) {\n\t\t\t\tPath(x,y).h(10).addTo(g);\n\t\t\t\tx += 10;\n\t\t\t}\n\t\t\titem.format(x, y, item.width).addTo(g);\n\t\t\tx += item.width;\n\t\t\tif(item.needsSpace) {\n\t\t\t\tPath(x,y).h(10).addTo(g);\n\t\t\t\tx += 10;\n\t\t\t}\n\t\t}\n\t\tthis.attrs.width = this.width + paddingl + paddingr;\n\t\tthis.attrs.height = this.up + this.down + paddingt + paddingb;\n\t\tthis.attrs.viewBox = \"0 0 \"  + this.attrs.width + \" \" + this.attrs.height;\n\t\tg.addTo(this);\n\t\tthis.formatted = true;\n\t\treturn this;\n\t}\n\tDiagram.prototype.addTo = function(parent) {\n\t\tvar scriptTag = document.getElementsByTagName('script');\n\t\tscriptTag = scriptTag[scriptTag.length - 1];\n\t\tvar parentTag = scriptTag.parentNode;\n\t\tparent = parent || parentTag;\n\t\treturn this.$super.addTo.call(this, parent);\n\t}\n\tDiagram.prototype.toSVG = function() {\n\t\tif (!this.formatted) {\n\t\t\tthis.format();\n\t\t}\n\t\treturn this.$super.toSVG.call(this);\n\t}\n\tDiagram.prototype.toString = function() {\n\t\tif (!this.formatted) {\n\t\t\tthis.format();\n\t\t}\n\t\treturn this.$super.toString.call(this);\n\t}\n\n\tfunction Sequence(items) {\n\t\tif(!(this instanceof Sequence)) return new Sequence([].slice.call(arguments));\n\t\tFakeSVG.call(this, 'g');\n\t\tthis.items = items.map(wrapString);\n\t\tthis.width = this.items.reduce(function(sofar, el) { return sofar + el.width + (el.needsSpace?20:0)}, 0);\n\t\tthis.up = this.items.reduce(function(sofar,el) { return Math.max(sofar, el.up)}, 0);\n\t\tthis.down = this.items.reduce(function(sofar,el) { return Math.max(sofar, el.down)}, 0);\n\t}\n\tsubclassOf(Sequence, FakeSVG);\n\tSequence.prototype.format = function(x,y,width) {\n\t\t// Hook up the two sides if this is narrower than its stated width.\n\t\tvar gaps = determineGaps(width, this.width);\n\t\tPath(x,y).h(gaps[0]).addTo(this);\n\t\tPath(x+gaps[0]+this.width,y).h(gaps[1]).addTo(this);\n\t\tx += gaps[0];\n\n\t\tfor(var i = 0; i < this.items.length; i++) {\n\t\t\tvar item = this.items[i];\n\t\t\tif(item.needsSpace) {\n\t\t\t\tPath(x,y).h(10).addTo(this);\n\t\t\t\tx += 10;\n\t\t\t}\n\t\t\titem.format(x, y, item.width).addTo(this);\n\t\t\tx += item.width;\n\t\t\tif(item.needsSpace) {\n\t\t\t\tPath(x,y).h(10).addTo(this);\n\t\t\t\tx += 10;\n\t\t\t}\n\t\t}\n\t\treturn this;\n\t}\n\n\tfunction Choice(normal, items) {\n\t\tif(!(this instanceof Choice)) return new Choice(normal, [].slice.call(arguments,1));\n\t\tFakeSVG.call(this, 'g');\n\t\tif( typeof normal !== \"number\" || normal !== Math.floor(normal) ) {\n\t\t\tthrow new TypeError(\"The first argument of Choice() must be an integer.\");\n\t\t} else if(normal < 0 || normal >= items.length) {\n\t\t\tthrow new RangeError(\"The first argument of Choice() must be an index for one of the items.\");\n\t\t} else {\n\t\t\tthis.normal = normal;\n\t\t}\n\t\tthis.items = items.map(wrapString);\n\t\tthis.width = this.items.reduce(function(sofar, el){return Math.max(sofar, el.width)},0) + Diagram.ARC_RADIUS*4;\n\t\tthis.up = this.down = 0;\n\t\tfor(var i = 0; i < this.items.length; i++) {\n\t\t\tvar item = this.items[i];\n\t\t\tif(i < normal) { this.up += Math.max(Diagram.ARC_RADIUS,item.up + item.down + Diagram.VERTICAL_SEPARATION); }\n\t\t\tif(i == normal) { this.up += Math.max(Diagram.ARC_RADIUS, item.up); this.down += Math.max(Diagram.ARC_RADIUS, item.down); }\n\t\t\tif(i > normal) { this.down += Math.max(Diagram.ARC_RADIUS,Diagram.VERTICAL_SEPARATION + item.up + item.down); }\n\t\t}\n\t}\n\tsubclassOf(Choice, FakeSVG);\n\tChoice.prototype.format = function(x,y,width) {\n\t\t// Hook up the two sides if this is narrower than its stated width.\n\t\tvar gaps = determineGaps(width, this.width);\n\t\tPath(x,y).h(gaps[0]).addTo(this);\n\t\tPath(x+gaps[0]+this.width,y).h(gaps[1]).addTo(this);\n\t\tx += gaps[0];\n\n\t\tvar last = this.items.length -1;\n\t\tvar innerWidth = this.width - Diagram.ARC_RADIUS*4;\n\n\t\t// Do the elements that curve above\n\t\tfor(var i = this.normal - 1; i >= 0; i--) {\n\t\t\tvar item = this.items[i];\n\t\t\tif( i == this.normal - 1 ) {\n\t\t\t\tvar distanceFromY = Math.max(Diagram.ARC_RADIUS*2, this.items[i+1].up + Diagram.VERTICAL_SEPARATION + item.down);\n\t\t\t}\n\t\t\tPath(x,y).arc('se').up(distanceFromY - Diagram.ARC_RADIUS*2).arc('wn').addTo(this);\n\t\t\titem.format(x+Diagram.ARC_RADIUS*2,y - distanceFromY,innerWidth).addTo(this);\n\t\t\tPath(x+Diagram.ARC_RADIUS*2+innerWidth, y-distanceFromY).arc('ne').down(distanceFromY - Diagram.ARC_RADIUS*2).arc('ws').addTo(this);\n\t\t\tdistanceFromY += Math.max(Diagram.ARC_RADIUS, item.up + Diagram.VERTICAL_SEPARATION + (i == 0 ? 0 : this.items[i-1].down));\n\t\t}\n\n\t\t// Do the straight-line path.\n\t\tPath(x,y).right(Diagram.ARC_RADIUS*2).addTo(this);\n\t\tthis.items[this.normal].format(x+Diagram.ARC_RADIUS*2, y, innerWidth).addTo(this);\n\t\tPath(x+Diagram.ARC_RADIUS*2+innerWidth, y).right(Diagram.ARC_RADIUS*2).addTo(this);\n\n\t\t// Do the elements that curve below\n\t\tfor(var i = this.normal+1; i <= last; i++) {\n\t\t\tvar item = this.items[i];\n\t\t\tif( i == this.normal + 1 ) {\n\t\t\t\tvar distanceFromY = Math.max(Diagram.ARC_RADIUS*2, this.items[i-1].down + Diagram.VERTICAL_SEPARATION + item.up);\n\t\t\t}\n\t\t\tPath(x,y).arc('ne').down(distanceFromY - Diagram.ARC_RADIUS*2).arc('ws').addTo(this);\n\t\t\titem.format(x+Diagram.ARC_RADIUS*2, y+distanceFromY, innerWidth).addTo(this);\n\t\t\tPath(x+Diagram.ARC_RADIUS*2+innerWidth, y+distanceFromY).arc('se').up(distanceFromY - Diagram.ARC_RADIUS*2).arc('wn').addTo(this);\n\t\t\tdistanceFromY += Math.max(Diagram.ARC_RADIUS, item.down + Diagram.VERTICAL_SEPARATION + (i == last ? 0 : this.items[i+1].up));\n\t\t}\n\n\t\treturn this;\n\t}\n\n\tfunction Optional(item, skip) {\n\t\tif( skip === undefined )\n\t\t\treturn Choice(1, Skip(), item);\n\t\telse if ( skip === \"skip\" )\n\t\t\treturn Choice(0, Skip(), item);\n\t\telse\n\t\t\tthrow \"Unknown value for Optional()'s 'skip' argument.\";\n\t}\n\n/* TiddlyWiki: added wantArrow */\n\tfunction OneOrMore(item, rep, wantArrow) {\n\t\tif(!(this instanceof OneOrMore)) return new OneOrMore(item, rep, wantArrow);\n\t\tFakeSVG.call(this, 'g');\n\n/* TiddlyWiki: code added */\n\t\tthis.wantArrow = wantArrow;\n\n\t\trep = rep || (new Skip);\n\t\tthis.item = wrapString(item);\n\t\tthis.rep = wrapString(rep);\n\t\tthis.width = Math.max(this.item.width, this.rep.width) + Diagram.ARC_RADIUS*2;\n\t\tthis.up = this.item.up;\n\t\tthis.down = Math.max(Diagram.ARC_RADIUS*2, this.item.down + Diagram.VERTICAL_SEPARATION + this.rep.up + this.rep.down);\n\n/* TiddlyWiki: moved calculation of distanceFromY (of the repeat arc) to here */\n\t\tthis.distanceFromY = Math.max(Diagram.ARC_RADIUS*2, this.item.down+Diagram.VERTICAL_SEPARATION+this.rep.up);\n\t}\n\tsubclassOf(OneOrMore, FakeSVG);\n\tOneOrMore.prototype.needsSpace = true;\n\tOneOrMore.prototype.format = function(x,y,width) {\n\t\t// Hook up the two sides if this is narrower than its stated width.\n\t\tvar gaps = determineGaps(width, this.width);\n\t\tPath(x,y).h(gaps[0]).addTo(this);\n\t\tPath(x+gaps[0]+this.width,y).h(gaps[1]).addTo(this);\n\t\tx += gaps[0];\n\n\t\t// Draw item\n\t\tPath(x,y).right(Diagram.ARC_RADIUS).addTo(this);\n\t\tthis.item.format(x+Diagram.ARC_RADIUS,y,this.width-Diagram.ARC_RADIUS*2).addTo(this);\n\t\tPath(x+this.width-Diagram.ARC_RADIUS,y).right(Diagram.ARC_RADIUS).addTo(this);\n\n\t\t// Draw repeat arc\n/* TiddlyWiki: moved calculation of distanceFromY from here to constructor */\n\t\tvar distanceFromY = this.distanceFromY;\n\t\t\n\t\tPath(x+Diagram.ARC_RADIUS,y).arc('nw').down(distanceFromY-Diagram.ARC_RADIUS*2).arc('ws').addTo(this);\n\t\tthis.rep.format(x+Diagram.ARC_RADIUS, y+distanceFromY, this.width - Diagram.ARC_RADIUS*2).addTo(this);\n\t\tPath(x+this.width-Diagram.ARC_RADIUS, y+distanceFromY).arc('se').up(distanceFromY-Diagram.ARC_RADIUS*2).arc('en').addTo(this);\n\t\t\n/* TiddlyWiki: code added */\n\t\tif(this.wantArrow) {\n\t\t\tvar arrowSize = Diagram.ARC_RADIUS/2;\n\t\t\t// Compensate for the illusion that makes the arrow look unbalanced if it's too close to the curve below it\n\t\t\tvar multiplier = (distanceFromY < arrowSize*5) ? 1.2 : 1;\n\t\t\tPath(x-arrowSize, y+distanceFromY/2 + arrowSize/2, {class:\"arrow\"}).\n\t\t\t\tline(arrowSize, -arrowSize).line(arrowSize*multiplier, arrowSize).addTo(this);\n\t\t}\n\n\t\treturn this;\n\t}\n\n\tfunction ZeroOrMore(item, rep, skip, wantArrow) {\n\t\treturn Optional(OneOrMore(item, rep, wantArrow), skip);\n\t}\n\n/* TiddlyWiki: added type parameter */\n\tfunction Start(type) {\n\t\tif(!(this instanceof Start)) return new Start(type);\n\t\tFakeSVG.call(this, 'path');\n\t\tthis.type = type || 'single'\n\t\tthis.width = (this.type === 'double') ? 20 : 10;\n\t\tthis.up = 10;\n\t\tthis.down = 10;\n\t}\n\tsubclassOf(Start, FakeSVG);\n\tStart.prototype.format = function(x,y) {\n/* TiddlyWiki: added types */\n\t\tif(this.type === 'single') {\n\t\t\tthis.attrs.d = 'M '+x+' '+(y-10)+' v 20 m 0 -10 h 10.5';\n\t\t} else if(this.type === 'double') {\n\t\t\tthis.attrs.d = 'M '+x+' '+(y-10)+' v 20 m 10 -20 v 20 m -10 -10 h 20.5';\n\t\t} else { // 'none'\n\t\t\tthis.attrs.d = 'M '+x+' '+y+' h 10.5';\n\t\t}\n\t\treturn this;\n\t}\n\n/* TiddlyWiki: added type parameter */\n\tfunction End(type) {\n\t\tif(!(this instanceof End)) return new End(type);\n\t\tFakeSVG.call(this, 'path');\n\t\tthis.type = type || 'double';\n\t\tthis.width = (this.type === 'double') ? 20 : 10;\n\t\tthis.up = 10;\n\t\tthis.down = 10;\n\t}\n\tsubclassOf(End, FakeSVG);\n\tEnd.prototype.format = function(x,y) {\n/* TiddlyWiki: added types */\n\t\tif(this.type === 'single') {\n\t\t\tthis.attrs.d = 'M '+x+' '+y+' h 10 m 0 -10 v 20';\n\t\t} else if(this.type === 'double') {\n\t\t\tthis.attrs.d = 'M '+x+' '+y+' h 20 m -10 -10 v 20 m 10 -20 v 20';\n\t\t} else { // 'none'\n\t\t\tthis.attrs.d = 'M '+x+' '+y+' h 10';\n\t\t}\n\t\treturn this;\n\t}\n\n\tfunction Terminal(text) {\n\t\tif(!(this instanceof Terminal)) return new Terminal(text);\n\t\tFakeSVG.call(this, 'g');\n\t\tthis.text = text;\n\t\tthis.width = text.length * 8 + 20; /* Assume that each char is .5em, and that the em is 16px */\n\t\tthis.up = 11;\n\t\tthis.down = 11;\n\t}\n\tsubclassOf(Terminal, FakeSVG);\n\tTerminal.prototype.needsSpace = true;\n\tTerminal.prototype.format = function(x, y, width) {\n\t\t// Hook up the two sides if this is narrower than its stated width.\n\t\tvar gaps = determineGaps(width, this.width);\n\t\tPath(x,y).h(gaps[0]).addTo(this);\n\t\tPath(x+gaps[0]+this.width,y).h(gaps[1]).addTo(this);\n\t\tx += gaps[0];\n\n\t\tFakeSVG('rect', {x:x, y:y-11, width:this.width, height:this.up+this.down, rx:10, ry:10}).addTo(this);\n\t\tFakeSVG('text', {x:x+this.width/2, y:y+4}, this.text).addTo(this);\n\t\treturn this;\n\t}\n\n\tfunction NonTerminal(text) {\n\t\tif(!(this instanceof NonTerminal)) return new NonTerminal(text);\n\t\tFakeSVG.call(this, 'g');\n\t\tthis.text = text;\n\t\tthis.width = text.length * 8 + 20;\n\t\tthis.up = 11;\n\t\tthis.down = 11;\n\t}\n\tsubclassOf(NonTerminal, FakeSVG);\n\tNonTerminal.prototype.needsSpace = true;\n\tNonTerminal.prototype.format = function(x, y, width) {\n\t\t// Hook up the two sides if this is narrower than its stated width.\n\t\tvar gaps = determineGaps(width, this.width);\n\t\tPath(x,y).h(gaps[0]).addTo(this);\n\t\tPath(x+gaps[0]+this.width,y).h(gaps[1]).addTo(this);\n\t\tx += gaps[0];\n\n\t\tFakeSVG('rect', {x:x, y:y-11, width:this.width, height:this.up+this.down}).addTo(this);\n\t\tFakeSVG('text', {x:x+this.width/2, y:y+4}, this.text).addTo(this);\n\t\treturn this;\n\t}\n\n\tfunction Comment(text) {\n\t\tif(!(this instanceof Comment)) return new Comment(text);\n\t\tFakeSVG.call(this, 'g');\n\t\tthis.text = text;\n\t\tthis.width = text.length * 7 + 10;\n\t\tthis.up = 11;\n\t\tthis.down = 11;\n\t}\n\tsubclassOf(Comment, FakeSVG);\n\tComment.prototype.needsSpace = true;\n\tComment.prototype.format = function(x, y, width) {\n\t\t// Hook up the two sides if this is narrower than its stated width.\n\t\tvar gaps = determineGaps(width, this.width);\n\t\tPath(x,y).h(gaps[0]).addTo(this);\n\t\tPath(x+gaps[0]+this.width,y).h(gaps[1]).addTo(this);\n\t\tx += gaps[0];\n\n\t\tFakeSVG('text', {x:x+this.width/2, y:y+5, class:'comment'}, this.text).addTo(this);\n\t\treturn this;\n\t}\n\n\tfunction Skip() {\n\t\tif(!(this instanceof Skip)) return new Skip();\n\t\tFakeSVG.call(this, 'g');\n\t\tthis.width = 0;\n\t\tthis.up = 0;\n\t\tthis.down = 0;\n\t}\n\tsubclassOf(Skip, FakeSVG);\n\tSkip.prototype.format = function(x, y, width) {\n\t\tPath(x,y).right(width).addTo(this);\n\t\treturn this;\n\t}\n\t\n/* TiddlyWiki: added linking ability */\n\tfunction Link(item,options) {\n\t\tif(!(this instanceof Link)) return new Link(item,options);\n\t\tFakeSVG.call(this,'a',options);\n\t\tthis.item = item;\n\t\tthis.width = item.width;\n\t\tthis.up = item.up;\n\t\tthis.down = item.down;\n\t}\n\tsubclassOf(Link, FakeSVG);\n\tLink.prototype.needsSpace = true;\n\tLink.prototype.format = function(x, y, width) {\n\t\tthis.item.format(x,y,width).addTo(this);\n\t\treturn this;\n\t}\n\n/* TiddlyWiki: this block replaces the export mechanism in the original library */\n\tif (exports) {\n\t\texports.Diagram = Diagram;\n\t\texports.Sequence = Sequence;\n\t\texports.Choice = Choice;\n\t\texports.Optional = Optional;\n\t\texports.OneOrMore = OneOrMore;\n\t\texports.ZeroOrMore = ZeroOrMore;\n\t\texports.Terminal = Terminal;\n\t\texports.NonTerminal = NonTerminal;\n\t\texports.Comment = Comment;\n\t\texports.Skip = Skip;\n\t\texports.Link = Link;\n\t};\n})(\n\t{\n\tVERTICAL_SEPARATION: 8,\n\tARC_RADIUS: 10,\n\tDIAGRAM_CLASS: 'railroad-diagram',\n\tSTROKE_ODD_PIXEL_LENGTH: true,\n\tINTERNAL_ALIGNMENT: 'center',\n\t}\n);\n\n/* TiddlyWiki: removed assignments to properties of the window object */\n\n})($tw.node ? $tw.fakeDocument : window.document)\n",
            "type": "application/javascript",
            "title": "$:/plugins/tiddlywiki/railroad/railroad-diagrams.js",
            "module-type": "library"
        },
        "$:/plugins/tiddlywiki/railroad/parser.js": {
            "title": "$:/plugins/tiddlywiki/railroad/parser.js",
            "text": "/*\\\ntitle: $:/plugins/tiddlywiki/railroad/parser.js\ntype: application/javascript\nmodule-type: library\n\nParser for the source of a railroad diagram.\n\n[:x]\t\t\toptional, normally included\n[x]\t\t\t\toptional, normally omitted\n{x}\t\t\t\tone or more\n{x +\",\"}\t\tone or more, comma-separated\n[{:x}]\t\t\tzero or more, normally included\n[{:x +\",\"}]\t\tzero or more, comma-separated, normally included\n[{x}]\t\t\tzero or more, normally omitted\n[{x +\",\"}]\t\tzero or more, comma-separated, normally omitted\nx y z\t\t\tsequence\n<-x y z->\t\texplicit sequence\n(x|y|z)\t\t\talternatives\n(x|:y|z)\t\talternatives, normally y\n\"x\"\t\t\t\tterminal\n<\"x\">\t\t\tnonterminal\n/\"blah\"/\t\tcomment\n-\t\t\t\tdummy\n[[x|\"tiddler\"]]\tlink\n{{\"tiddler\"}}\ttransclusion\n\n\"x\" can also be written 'x' or \"\"\"x\"\"\"\n\npragmas:\n\t\\arrow yes|no\n\t\\debug yes|no\n\t\\start single|double|none\n\t\\end single|double|none\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar components = require(\"$:/plugins/tiddlywiki/railroad/components.js\").components;\n\nvar Parser = function(widget,source,options) {\n\tthis.widget = widget;\n\tthis.source = source;\n\tthis.options = options;\n\tthis.tokens = this.tokenise(source);\n\tthis.tokenPos = 0;\n\tthis.advance();\n\tthis.content = this.parseContent();\n\tthis.root = new components.Root(this.content);\n\tthis.checkFinished();\n};\n\n/////////////////////////// Parser dispatch\n\nParser.prototype.parseContent = function() {\n\tvar content = [];\n\t// Parse zero or more components\n\twhile(true) {\n\t\tvar component = this.parseComponent();\n\t\tif(!component) {\n\t\t\tbreak;\n\t\t}\n\t\tif(!component.isPragma) {\n\t\t\tcontent.push(component);\n\t\t}\n\t}\n\treturn content;\n};\n\nParser.prototype.parseComponent = function() {\n\tvar component = null;\n\tif(this.token) {\n\t\tif(this.at(\"string\")) {\n\t\t\tcomponent = this.parseTerminal();\n\t\t} else if(this.at(\"name\")) {\n\t\t\tcomponent = this.parseName();\n\t\t} else if(this.at(\"pragma\")) {\n\t\t\tcomponent = this.parsePragma();\n\t\t} else {\n\t\t\tswitch(this.token.value) {\n\t\t\t\tcase \"[\":\n\t\t\t\t\tcomponent = this.parseOptional();\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"{\":\n\t\t\t\t\tcomponent = this.parseRepeated();\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"<\":\n\t\t\t\t\tcomponent = this.parseNonterminal();\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"(\":\n\t\t\t\t\tcomponent = this.parseChoice();\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"/\":\n\t\t\t\t\tcomponent = this.parseComment();\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"[[\":\n\t\t\t\t\tcomponent = this.parseLink();\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"{{\":\n\t\t\t\t\tcomponent = this.parseTransclusion();\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"<-\":\n\t\t\t\t\tcomponent = this.parseSequence();\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"-\":\n\t\t\t\t\tcomponent = this.parseDummy();\n\t\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\treturn component;\n};\n\n/////////////////////////// Specific components\n\nParser.prototype.parseChoice = function() {\n\t// Consume the (\n\tthis.advance();\n\tvar content = [],\n\t\tcolon = -1;\n\tdo {\n\t\t// Allow at most one branch to be prefixed with a colon\n\t\tif(colon === -1 && this.eat(\":\")) {\n\t\t\tcolon = content.length;\n\t\t}\n\t\t// Parse the next branch\n\t\tcontent.push(this.parseContent());\n\t} while(this.eat(\"|\"));\n\t// Consume the closing bracket\n\tthis.close(\")\");\n\t// Create a component\n\treturn new components.Choice(content,colon === -1 ? 0 : colon);\n};\n\nParser.prototype.parseComment = function() {\n\t// Consume the /\n\tthis.advance();\n\t// The comment's content should be in a string literal\n\tvar content = this.expectString(\"after /\");\n\t// Consume the closing /\n\tthis.close(\"/\");\n\t// Create a component\n\treturn new components.Comment(content);\n};\n\nParser.prototype.parseDummy = function() {\n\t// Consume the -\n\tthis.advance();\n\t// Create a component\n\treturn new components.Dummy();\n};\n\nParser.prototype.parseLink = function() {\n\t// Consume the [[\n\tthis.advance();\n\t// Parse the content\n\tvar content = this.parseContent();\n\t// Consume the |\n\tthis.expect(\"|\");\n\t// Consume the target\n\tvar target = this.expectNameOrString(\"as link target\");\n\t// Prepare some attributes for the SVG \"a\" element to carry\n\tvar options = {\"data-tw-target\": target};\n\tif($tw.utils.isLinkExternal(target)) {\n\t\toptions[\"data-tw-external\"] = true;\n\t}\n\t// Consume the closing ]]\n\tthis.close(\"]]\");\n\t// Create a component\n\treturn new components.Link(content,options);\n};\n\nParser.prototype.parseName = function() {\n\t// Create a component\n\tvar component = new components.Nonterminal(this.token.value);\n\t// Consume the name\n\tthis.advance();\n\treturn component;\n};\n\nParser.prototype.parseNonterminal = function() {\n\t// Consume the <\n\tthis.advance();\n\t// The nonterminal's name should be in a string literal\n\tvar content = this.expectString(\"after <\");\n\t// Consume the closing bracket\n\tthis.close(\">\");\n\t// Create a component\n\treturn new components.Nonterminal(content);\n};\n\nParser.prototype.parseOptional = function() {\n\tvar wantArrow = this.options.arrow;\n\t// Consume the [\n\tthis.advance();\n\t// Consume the { if there is one\n\tvar repeated = this.eat(\"{\");\n\t// Note whether omission is the normal route\n\tvar normal = this.eat(\":\");\n\t// Parse the content\n\tvar content = this.parseContent(),\n\t\tseparator = null;\n\t// Parse the separator if there is one\n\tif(repeated && this.eat(\"+\")) {\n\t\tseparator = this.parseContent();\n\t}\n\t// Consume the closing brackets\n\tif(repeated) {\n\t\tthis.close(\"}\");\n\t}\n\tthis.close(\"]\");\n\t// Create a component\n\treturn repeated ? new components.OptionalRepeated(content,separator,normal,wantArrow)\n\t\t: new components.Optional(content,normal);\n};\n\nParser.prototype.parseRepeated = function() {\n\tvar wantArrow = this.options.arrow;\n\t// Consume the {\n\tthis.advance();\n\t// Parse the content\n\tvar content = this.parseContent(),\n\t\tseparator = null;\n\t// Parse the separator if there is one\n\tif(this.eat(\"+\")) {\n\t\tseparator = this.parseContent();\n\t}\n\t// Consume the closing bracket\n\tthis.close(\"}\");\n\t// Create a component\n\treturn new components.Repeated(content,separator,wantArrow);\n};\n\nParser.prototype.parseSequence = function() {\n\t// Consume the <-\n\tthis.advance();\n\t// Parse the content\n\tvar content = this.parseContent();\n\t// Consume the closing ->\n\tthis.close(\"->\");\n\t// Create a component\n\treturn new components.Sequence(content);\n};\n\nParser.prototype.parseTerminal = function() {\n\tvar component = new components.Terminal(this.token.value);\n\t// Consume the string literal\n\tthis.advance();\n    return component;\n};\n\nParser.prototype.parseTransclusion = function() {\n\t// Consume the {{\n\tthis.advance();\n\t// Consume the text reference\n\tvar textRef = this.expectNameOrString(\"as transclusion source\");\n\t// Consume the closing }}\n\tthis.close(\"}}\");\n\t// Retrieve the content of the text reference\n\tvar source = this.widget.wiki.getTextReference(textRef,\"\",this.widget.getVariable(\"currentTiddler\"));\n\t// Parse the content\n\tvar content = new Parser(this.widget,source).content;\n\t// Create a component\n\treturn new components.Transclusion(content);\n};\n\n/////////////////////////// Pragmas\n\nParser.prototype.parsePragma = function() {\n\t// Create a dummy component\n\tvar component = { isPragma: true };\n\t// Consume the pragma\n\tvar pragma = this.token.value;\n\tthis.advance();\n\t// Apply the setting\n\tif(pragma === \"arrow\") {\n\t\tthis.options.arrow = this.parseYesNo(pragma);\t\t\n\t} else if(pragma === \"debug\") {\n\t\tthis.options.debug = true;\n\t} else if(pragma === \"start\") {\n\t\tthis.options.start = this.parseTerminusStyle(pragma);\t\t\n\t} else if(pragma === \"end\") {\n\t\tthis.options.end = this.parseTerminusStyle(pragma);\t\t\n\t} else {\n\t\tthrow \"Invalid pragma\";\n\t}\n\treturn component;\n};\n\nParser.prototype.parseYesNo = function(pragma) {\n\treturn this.parseSetting([\"yes\",\"no\"],pragma) === \"yes\";\n}\n\nParser.prototype.parseTerminusStyle = function(pragma) {\n\treturn this.parseSetting([\"single\",\"double\",\"none\"],pragma);\n}\n\nParser.prototype.parseSetting = function(options,pragma) {\n\tif(this.at(\"name\") && options.indexOf(this.token.value) !== -1) {\n\t\treturn this.tokenValueEaten();\t\t\n\t}\n\tthrow options.join(\" or \") + \" expected after \\\\\" + pragma;\n}\n\n/////////////////////////// Token manipulation\n\nParser.prototype.advance = function() {\n\tif(this.tokenPos >= this.tokens.length) {\n\t\tthis.token = null;\n\t}\n\tthis.token = this.tokens[this.tokenPos++];\n};\n\nParser.prototype.at = function(token) {\n\treturn this.token && (this.token.type === token || this.token.type === \"token\" && this.token.value === token);\n};\n\nParser.prototype.eat = function(token) {\n\tvar at = this.at(token);\n\tif(at) {\n\t\tthis.advance();\n\t}\n\treturn at;\n};\n\nParser.prototype.tokenValueEaten = function() {\n\tvar output = this.token.value;\n\tthis.advance();\n\treturn output;\n};\n\nParser.prototype.close = function(token) {\n\tif(!this.eat(token)) {\n\t\tthrow \"Closing \" + token + \" expected\";\n\t}\n};\n\nParser.prototype.checkFinished = function() {\n\tif(this.token) {\n\t\tthrow \"Syntax error at \" + this.token.value;\n\t}\n};\n\nParser.prototype.expect = function(token) {\n\tif(!this.eat(token)) {\n\t\tthrow token + \" expected\";\n\t}\n};\n\nParser.prototype.expectString = function(context,token) {\n\tif(!this.at(\"string\")) {\n\t\ttoken = token || \"String\";\n\t\tthrow token + \" expected \" + context;\n\t}\n\treturn this.tokenValueEaten();\n};\n\nParser.prototype.expectNameOrString = function(context) {\n\tif(this.at(\"name\")) {\n\t\treturn this.tokenValueEaten();\n\t}\n\treturn this.expectString(context,\"Name or string\");\n};\n\n/////////////////////////// Tokenisation\n\nParser.prototype.tokenise = function(source) {\n\tvar tokens = [],\n\t\tpos = 0,\n\t\tc, s, token;\n\twhile(pos < source.length) {\n\t\t// Initialise this iteration\n\t\ts = token = null;\n\t\t// Skip whitespace\n\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t// Avoid falling off the end of the string\n\t\tif (pos >= source.length) {\n\t\t\tbreak;\n\t\t}\n\t\t// Examine the next character\n\t\tc = source.charAt(pos);\n\t\tif(\"\\\"'\".indexOf(c) !== -1) {\n\t\t\t// String literal\n\t\t\ttoken = $tw.utils.parseStringLiteral(source,pos);\n\t\t\tif(!token) {\n\t\t\t\tthrow \"Unterminated string literal\";\n\t\t\t}\n\t\t} else if(\"[]{}\".indexOf(c) !== -1) {\n\t\t\t// Single or double character\n\t\t\ts = source.charAt(pos+1) === c ? c + c : c;\n\t\t} else if(c === \"<\") {\n\t\t\t// < or <-\n\t\t\ts = source.charAt(pos+1) === \"-\" ? \"<-\" : \"<\";\n\t\t} else if(c === \"-\") {\n\t\t\t// - or ->\n\t\t\ts = source.charAt(pos+1) === \">\" ? \"->\" : \"-\";\n\t\t} else if(\"()>+/:|\".indexOf(c) !== -1) {\n\t\t\t// Single character\n\t\t\ts = c;\n\t\t} else if(c.match(/[a-zA-Z]/)) {\n\t\t\t// Name\n\t\t\ttoken = this.readName(source,pos);\n\t\t} else if(c.match(/\\\\/)) {\n\t\t\t// Pragma\n\t\t\ttoken = this.readPragma(source,pos);\n\t\t} else {\n\t\t\tthrow \"Syntax error at \" + c;\n\t\t}\n\t\t// Add our findings to the return array\n\t\tif(token) {\n\t\t\ttokens.push(token);\n\t\t} else {\n\t\t\ttoken = $tw.utils.parseTokenString(source,pos,s);\n\t\t\ttokens.push(token);\n\t\t}\n\t\t// Prepare for the next character\n\t\tpos = token.end;\n\t}\n\treturn tokens;\n};\n\nParser.prototype.readName = function(source,pos) {\n\tvar re = /([a-zA-Z0-9_.-]+)/g;\n\tre.lastIndex = pos;\n\tvar match = re.exec(source);\n\tif(match && match.index === pos) {\n\t\treturn {type: \"name\", value: match[1], start: pos, end: pos+match[1].length};\n\t} else {\n\t\tthrow \"Invalid name\";\n\t}\n};\n\nParser.prototype.readPragma = function(source,pos) {\n\tvar re = /([a-z]+)/g;\n\tpos++;\n\tre.lastIndex = pos;\n\tvar match = re.exec(source);\n\tif(match && match.index === pos) {\n\t\treturn {type: \"pragma\", value: match[1], start: pos, end: pos+match[1].length};\n\t} else {\n\t\tthrow \"Invalid pragma\";\n\t}\n};\n\n/////////////////////////// Exports\n\nexports.parser = Parser;\n\n})();",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/tiddlywiki/railroad/typed-parser.js": {
            "title": "$:/plugins/tiddlywiki/railroad/typed-parser.js",
            "text": "/*\\\ntitle: $:/plugins/tiddlywiki/railroad/typed-parser.js\ntype: application/javascript\nmodule-type: parser\n\nThis parser wraps unadorned railroad syntax into a railroad widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar RailroadParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"railroad\",\n\t\t\ttag: \"$railroad\",\n\t\t\ttext: text\n\t\t};\n\tthis.tree = [element];\nconsole.log(text);\n};\n\nexports[\"text/vnd.tiddlywiki.railroad\"] = RailroadParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/plugins/tiddlywiki/railroad/wrapper.js": {
            "title": "$:/plugins/tiddlywiki/railroad/wrapper.js",
            "text": "/*\\\ntitle: $:/plugins/tiddlywiki/railroad/wrapper.js\ntype: application/javascript\nmodule-type: widget\n\nWrapper for `railroad-diagrams.js` that provides a `<$railroad>` widget.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Parser = require(\"$:/plugins/tiddlywiki/railroad/parser.js\").parser,\n\tWidget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RailroadWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\nvar RAILROAD_OPTIONS = \"$:/config/railroad\";\n\n/*\nInherit from the base widget class\n*/\nRailroadWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRailroadWidget.prototype.render = function(parent,nextSibling) {\n\t// Housekeeping\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Get the source text\n\tvar source = this.getAttribute(\"text\",this.parseTreeNode.text || \"\");\n\t// Create a div to contain the SVG or error message\n\tvar div = this.document.createElement(\"div\");\n\ttry {\n\t\t// Initialise options from the config tiddler or widget attributes\n\t\tvar config = this.wiki.getTiddlerData(RAILROAD_OPTIONS,{});\n\t\tvar options = {\n\t\t\tarrow: this.getAttribute(\"arrow\", config.arrow || \"yes\") === \"yes\",\n\t\t\tdebug: this.getAttribute(\"debug\", config.debug || \"no\") === \"yes\",\n\t\t\tstart: this.getAttribute(\"start\", config.start || \"single\"),\n\t\t\tend: this.getAttribute(\"end\", config.end || \"single\")\n\t\t};\n\t\t// Parse the source\n\t\tvar parser = new Parser(this,source,options);\n\t\t// Generate content into the div\n\t\tif(parser.options.debug) {\n\t\t\tthis.renderDebug(parser,div);\n\t\t} else {\n\t\t\tthis.renderSvg(parser,div);\n\t\t}\n\t} catch(ex) {\n\t\tdiv.className = \"tc-error\";\n\t\tdiv.textContent = ex;\n\t}\n\t// Insert the div into the DOM\n\tparent.insertBefore(div,nextSibling);\n\tthis.domNodes.push(div);\n};\n\nRailroadWidget.prototype.renderDebug = function(parser,div) {\n\tvar output = [\"<pre>\"];\n\tparser.root.debug(output, \"\");\n\toutput.push(\"</pre>\");\n\tdiv.innerHTML = output.join(\"\");\n};\n\nRailroadWidget.prototype.renderSvg = function(parser,div) {\n\t// Generate a model of the diagram\n\tvar fakeSvg = parser.root.toSvg(parser.options);\n\t// Render the model into a tree of SVG DOM nodes\n\tvar svg = fakeSvg.toSVG();\n\t// Fill in the remaining attributes of any link nodes\n\tthis.patchLinks(svg);\n\t// Insert the SVG tree into the div\n\tdiv.appendChild(svg);\n};\n\nRailroadWidget.prototype.patchLinks = function(node) {\n\tvar self = this;\n\tif(!$tw.node && node.hasChildNodes()) {\n\t\tvar children = node.childNodes;\n\t\tfor(var i=0; i<children.length; i++) {\n\t\t\tvar child = children[i];\n\t\t\tvar attributes = child.attributes;\n\t\t\tif(attributes) {\n\t\t\t\t// Find each element that has a data-tw-target attribute\n\t\t\t\tvar target = child.attributes[\"data-tw-target\"];\n\t\t\t\tif(target !== undefined) {\n\t\t\t\t\ttarget = target.value;\n\t\t\t\t\tif(child.attributes[\"data-tw-external\"]) {\n\t\t\t\t\t\t// External links are straightforward\n\t\t\t\t\t\tchild.setAttribute(\"target\",\"_blank\");\n\t\t\t\t\t\tchild.setAttribute(\"rel\",\"noopener noreferrer\");\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// Each internal link gets its own onclick handler, capturing its own copy of target\n\t\t\t\t\t\t(function(myTarget) {\n\t\t\t\t\t\t\tchild.onclick = function(event) {\n\t\t\t\t\t\t\t\tself.dispatchLink(myTarget,event);\n\t\t\t\t\t\t\t\treturn false;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t})(target);\n\t\t\t\t\t\ttarget = \"#\" + target;\n\t\t\t\t\t}\n\t\t\t\t\tchild.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"href\",target);\n\t\t\t\t}\n\t\t\t}\n\t\t\tthis.patchLinks(child);\n\t\t}\n\t}\n};\n\nRailroadWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.text || changedTiddlers[RAILROAD_OPTIONS]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn false;\t\n};\n\nRailroadWidget.prototype.dispatchLink = function(to,event) {\n\t// Send the click on its way as a navigate event\n\tvar bounds = this.domNodes[0].getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1)\n\t});\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nexports.railroad = RailroadWidget;\n\n})();",
            "type": "application/javascript",
            "module-type": "widget"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/tobibeer/plantuml/defaults/edit": {
            "title": "$:/plugins/tobibeer/plantuml/defaults/edit",
            "text": "true"
        },
        "$:/plugins/tobibeer/plantuml/lingo/edit": {
            "title": "$:/plugins/tobibeer/plantuml/lingo/edit",
            "text": "globally enable edit links for all output (\"yes\" or \"true\")"
        },
        "$:/plugins/tobibeer/plantuml/lingo/edit-link": {
            "title": "$:/plugins/tobibeer/plantuml/lingo/edit-link",
            "text": "» edit:"
        },
        "$:/plugins/tobibeer/plantuml/readme": {
            "title": "$:/plugins/tobibeer/plantuml/readme",
            "text": "The plugin $:/plugins/tobibeer/plantuml provides:\n\n; `[[plantuml[<uml>]]]`\r\n: a widget to render [[PlantUML|http://plantuml.org]] diagrams online as either image or text\r\n: allows the same attributes as <<x \"Images in WikiText\">>\n\n<br>\n\n; documentation / examples / demos...\r\n: http://tobibeer.github.io/tw5-plugins#plantuml"
        },
        "$:/plugins/tobibeer/plantuml/styles": {
            "title": "$:/plugins/tobibeer/plantuml/styles",
            "tags": "$:/tags/Stylesheet",
            "text": ".tc-plantuml-txt {\r\n\tborder:0;\r\n\twidth:100%;\r\n\theight:400px;\r\n}\r\n.tc-plantuml-edit.tc-tiddlylink-external{\r\n    text-decoration:none;\r\n}"
        },
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            "type": "application/javascript",
            "module-type": "utils"
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        "$:/plugins/tobibeer/plantuml/widget.js": {
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            "type": "application/javascript",
            "module-type": "widget"
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        "$:/plugins/tobibeer/plantuml/wikirule.js": {
            "title": "$:/plugins/tobibeer/plantuml/wikirule.js",
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}

Collaboration and development wiki

OntoRisk Wiki

LeDoux,McCloud,McDonald,TiddlyWiki,TiddlyWiki5,CamelCase,DuBay,McGraw,McCullough,LeGrange,NaCl,MeOH,EtOH,PiB,TiddlyTools,ResetFind,WikiText,WinBuilder,WinPE,ProgramData,TiddlyFox,GuillermoMartin,AndrewFraser,RochesterMNwalkers,DEdwardsCalgary,WalkaboutMM,HarveyG,McCoy,GeForce,SideBar,AirBnB,PayPal,LeBron,JavaScript,ExpressJet,CutePDF,McClouds,McElroy,McGovern,TableHelper,ShadowTiddler,WikiWords

close

contents

yes

$:/plugins/tg/layout/tweaks

$:/core/ui/AdvancedSearch/Standard

$:/core/ui/ControlPanel/Info

$:/plugins/tg/layout/settings

$:/plugins/tg/layout/systemtags

Contents

$:/core/ui/ControlPanel/Toolbars/PageControls

open

open

open

close

close

close

close

open

open

close

open

yes

yes

no

no

Visual Menu

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            "text": "file:///Users/andreasgehrmann/Downloads/OntoRisk%20Wiki%20%E2%80%94%20Collaboration%20and%20development%20wiki%20(6).html"
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            "text": "/Users/andreasgehrmann/Downloads/OntoRisk%20Wiki%20%E2%80%94%20Collaboration%20and%20development%20wiki%20(6).html"
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            "text": "file://"
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            "title": "$:/info/browser/screen/width",
            "text": "1440"
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        "$:/info/browser/screen/height": {
            "title": "$:/info/browser/screen/height",
            "text": "900"
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            "title": "$:/info/browser/language",
            "text": "en-US"
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}

Draft of 'Visual Menu'

$:/themes/jd/Material

{
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            "tags": "",
            "title": "$:/themes/inmysocks/mobile/Icon Placement",
            "text": "\\define thisSelectMenuPlacement()\n<$select field=menu>\n<$reveal type='nomatch' state='!!title' text='$:/themes/inmysocks/mobile/Menu Icon - Control Panel Popout'>\n<option value=''>--</option>\n</$reveal>\n<$list filter='[[Top Left]] [[Top Center]] [[Top Right]] [[Right]] [[Bottom Left]] [[Bottom Right]] [[Bottom Center]] [[Left]]'>\n<option><<currentTiddler>></option>\n</$list>\n</$select>\n\\end\n\nEnable Icon:\n\n<$select tiddler='$:/state/IconPlacemet/IconSelected'>\n<$list filter='[tag[Menu Icon]][plugintiddlers[]tag[Menu Icon]]+[sort[title]]-[[$:/themes/inmysocks/mobile/Menu Icon - Control Panel Popout]]'>\n<option value={{!!title}}><$view field='caption'><$view field='title'/></$view></option>\n</$list>\n</$select>  <$checkbox tiddler={{$:/state/IconPlacemet/IconSelected}} tag=Visible>Enabled</$checkbox>\n\n\n<h1>Currently Used Icons:</h1>\n\n<$list filter='[[Left]] [[Right]] [[Top Left]] [[Top Center]] [[Top Right]] [[Bottom Left]] [[Bottom Right]] [[Bottom Center]]' variable=CurrentMenu>\n\n<$list filter='[tag[Menu Icon]tag[Visible]nsort[order]][plugintiddlers[]tag[Visible]tag[Menu Icon]nsort[order]]+[menu<CurrentMenu>]+[limit[1]]'>\n''<$view tiddler=<<CurrentMenu>> field=title/> Menu Icons:''\n\n<hr>\n\n<table>\n<tr>\n <th>Enabled</th>\n <th>Location</th>\n <th>Name</th>\n <th>Order</th>\n</tr>\n<$list filter='[tag[Menu Icon]tag[Visible]nsort[order]][plugintiddlers[]tag[Visible]tag[Menu Icon]nsort[order]]+[menu<CurrentMenu>]'>\n<tr>\n <td><$reveal type='nomatch' state='!!title' text='$:/themes/inmysocks/mobile/Menu Icon - Control Panel Popout'><$checkbox tag=Visible>Enabled</$checkbox></$reveal></td>\n <td><<thisSelectMenuPlacement>></td>\n <td><$link to=<<currentTiddler>>><$view field=caption><$view field='title'/></$view></$link></td>\n <td><$button set=\"!!order\" setTo=<<calc !!order 1>> class=\"tc-btn-invisible\">{{$:/core/images/chevron-down}}</$button> \n<$button set=\"!!order\" setTo=<<calc !!order -1 0>> class=\"tc-btn-invisible\">{{$:/core/images/chevron-up}}</$button><$edit-text field='order' placeholder='Order' size=4/></td>\n</tr>\n</$list>\n</table>\n\n</$list>\n</$list>\n\n<$list filter='[tag[Menu Icon]tag[Visible]nsort[order]][plugintiddlers[]tag[Visible]tag[Menu Icon]nsort[order]]+[!has[menu]]+[limit[1]]'>\n\n''No Menu:''\n\n<table>\n<tr>\n <th>Enabled</th>\n <th>Location</th>\n <th>Name</th>\n <th>Order</th>\n</tr>\n<$list filter='[tag[Menu Icon]tag[Visible]nsort[order]][plugintiddlers[]tag[Visible]tag[Menu Icon]nsort[order]]+[!has[menu]]'>\n<tr>\n <td><$reveal type='nomatch' state='!!title' text='$:/themes/inmysocks/mobile/Menu Icon - Control Panel Popout'><$checkbox tag=Visible>Enabled</$checkbox></$reveal></td>\n <td><<thisSelectMenuPlacement>></td>\n <td><$link to=<<currentTiddler>>><$view field=caption><$view field='title'/></$view></$link></td>\n <td><$button set=\"!!order\" setTo=<<calc !!order 1>> class=\"tc-btn-invisible\">{{$:/core/images/chevron-down}}</$button> \n<$button set=\"!!order\" setTo=<<calc !!order -1 0>> class=\"tc-btn-invisible\">{{$:/core/images/chevron-up}}</$button><$edit-text field='order' placeholder='Order' size=4/></td>\n</tr>\n</$list>\n</table>\n\n</$list>"
        },
        "$:/themes/inmysocks/mobile/Menu Configuration": {
            "caption": "Menu Configuration",
            "tags": "",
            "title": "$:/themes/inmysocks/mobile/Menu Configuration",
            "text": "Select Menu:\n<$select tiddler='$:/state/MenuConfiguration/SelectedMenu'>\n<option value='$:/themes/inmysocks/mobile/Left Menu Options'>Left Menu</option>\n<option value='$:/themes/inmysocks/mobile/Right Menu Options'>Right Menu</option>\n<option value='$:/themes/inmysocks/mobile/Top Menu Options'>Top Menu</option>\n<option value='$:/themes/inmysocks/mobile/Bottom Menu Options'>Bottom Menu</option>\n</$select>\n\n<h1>''<$view tiddler={{$:/state/MenuConfiguration/SelectedMenu}} field='caption'><$view tiddler={{$:/state/MenuConfiguration/SelectedMenu}} field='title'/></$view>''</h1>\n\n<$transclude tiddler={{$:/state/MenuConfiguration/SelectedMenu}} mode=block}}/>"
        },
        "$:/themes/inmysocks/mobile/Menu Presets": {
            "caption": "Menu Presets",
            "title": "$:/themes/inmysocks/mobile/Menu Presets",
            "text": "Presets are predefined layouts for the icon menus for the mobile theme. They allow you to use the theme with multiple devices that have different screen sizes or other layout concerns.\n\nThere is a [[preset creation tool|$:/themes/inmysocks/mobile/Preset Creation Tool]].\n\nSelect Preset:\n<$select tiddler='$:/state/MobileThemeSettings/SelectedPreset'>\n<$list filter='[all[]][plugintiddlers[]]+[tag[Mobile Theme Preset]]'>\n<option value=<<currentTiddler>>><$view field='caption'><$view field='title'/></$view></option>\n</$list>\n</$select>\n\n<$button>Apply Preset\n<$list filter='[all[]tag[Menu Icon]][plugintiddlers[]tag[Menu Icon]]-[[$:/themes/inmysocks/mobile/Menu Icon - Control Panel Popout]]'>\n<$action-setfield $field='menu' $value=''/>\n<$fieldmangler>\n<$action-sendmessage $message='tm-remove-tag' $param='Visible'/>\n</$fieldmangler>\n</$list>\n<$list filter='[{$:/state/MobileThemeSettings/SelectedPreset}indexes[]]' variable=CurrentIcon>\n<$list filter='[{$:/state/MobileThemeSettings/SelectedPreset}getindex<CurrentIcon>]' variable=CurrentMenu>\n<$action-setfield $tiddler=<<CurrentIcon>> menu=<<CurrentMenu>>/>\n<$fieldmangler tiddler=<<CurrentIcon>>>\n<$action-sendmessage $message='tm-add-tag' $param='Visible'/>\n</$fieldmangler>\n</$list>\n</$list>\n<$list filter='[[$:/themes/inmysocks/mobile/Menu Icon - Control Panel Popout]!has[menu]]'>\n<$action-setfield $tiddler='$:/themes/inmysocks/mobile/Menu Icon - Control Panel Popout' menu=Left/>\n</$list>\n</$button>\n\n\nThis resets the menu state to be empty aside from the control panel:\n<$button>Clear Menu Settings\n<$list filter='[all[]tag[Menu Icon]][plugintiddlers[]tag[Menu Icon]]-[[$:/themes/inmysocks/mobile/Menu Icon - Control Panel Popout]]'>\n<$action-setfield $field='menu' $value=''/>\n<$fieldmangler>\n<$action-sendmessage $message='tm-remove-tag' $param='Visible'/>\n</$fieldmangler>\n</$list>\n<$action-setfield $tiddler='$:/themes/inmysocks/mobile/Menu Icon - Control Panel Popout' menu=Left/>\n</$button>"
        },
        "$:/themes/inmysocks/mobile/Mobile Theme Settings": {
            "caption": "Mobile Theme Settings",
            "title": "$:/themes/inmysocks/mobile/Mobile Theme Settings",
            "text": "\n<<tabs \"[[$:/themes/inmysocks/mobile/Icon Placement]][[$:/themes/inmysocks/mobile/Menu Configuration]][[$:/themes/inmysocks/mobile/Menu Presets]]\">>"
        },
        "$:/themes/inmysocks/mobile/Preset Creation Tool": {
            "caption": "Preset Creation Tool",
            "title": "$:/themes/inmysocks/mobile/Preset Creation Tool",
            "text": "\\define thisSelectMenu()\n<$select tiddler='$:/temp/icon/$(currentTiddler)$/selectedmenu'>\n<option>Top Left</option>\n<option>Top Center</option>\n<option>Top Right</option>\n<option>Left</option>\n<option>Right</option>\n<option>Bottom Right</option>\n<option>Bottom Middle</option>\n<option>Bottom Left</option>\n</$select>\n\\end\n\nPresets are made using data tiddlers, each index should be in the form `Tiddler Name:Menu Name`, which will set the tiddler named `Tiddler Name` to the menu `Menu Name`. Valid menu names are: `Top Left` `Top Center` `Top Right` `Right` `Bottom Left` `Bottom Right` `Bottom Center` `Left`.\n\nFirst make the preset, then add things to it.\n\nPreset name: <$edit-text tiddler='$:/temp/createpreset/presetname' field='preset_name' class='tc-edit-texteditor'/>\n\n<$button>Make Preset\n<$action-setfield $tiddler={{$:/temp/createpreset/presetname!!preset_name}} type='application/json' tags='[[Mobile Theme Preset]]'/>\n<$action-setfield $tiddler='$:/temp/createpreset/presetname' preset_name=''/>\n</$button>\n\n\nSelect preset: <$select tiddler='$:/state/createpreset/selectedpreset'>\n<$list filter='[all[]tag[Mobile Theme Preset]][plugintiddlers[]tag[Mobile Theme Preset]]'>\n<option value=<<currentTiddler>>><$view field='caption'><$view field='title'/></$view></option>\n</$list>\n</$select>\n\nIcon:\n<$select tiddler='$:/state/createpreset/selectedicon'>\n<$list filter='[all[]tag[Menu Icon]][plugintiddlers[]tag[Menu Icon]]'>\n<option value=<<currentTiddler>>><$view field='caption'><$view field='title'/></$view></option>\n</$list>\n</$select>\n\nMenu:\n<$select tiddler='$:/state/createpreset/selectedmenu'>\n<option>Top Left</option>\n<option>Top Center</option>\n<option>Top Right</option>\n<option>Left</option>\n<option>Right</option>\n<option>Bottom Right</option>\n<option>Bottom Middle</option>\n<option>Bottom Left</option>\n</$select>\n\n<$button>Add to preset\n<$action-setfield $tiddler={{$:/state/createpreset/selectedpreset}} $index={{$:/state/createpreset/selectedicon}} $value={{$:/state/createpreset/selectedmenu}}/>\n</$button>\n\n<table>\n<tr><th>Icon Name</th><th>Menu</th></tr>\n<$list filter='[{$:/state/createpreset/selectedpreset}indexes[]]'>\n<tr><td><$view tiddler=<<currentTiddler>> field=caption><$view field='title'/></$view></td><td><$list filter='[{$:/state/createpreset/selectedpreset}getindex<currentTiddler>]'/></td></tr>\n</$list>\n</table>"
        },
        "$:/core/ui/PageTemplate/sidebar": {
            "title": "$:/core/ui/PageTemplate/sidebar",
            "text": ""
        },
        "$:/core/ui/TopBar/menu": {
            "title": "$:/core/ui/TopBar/menu",
            "text": ""
        },
        "$:/themes/inmysocks/mobile/Create New Menu Button": {
            "caption": "Create New Menu Button",
            "tags": "",
            "title": "$:/themes/inmysocks/mobile/Create New Menu Button",
            "text": "\\define thisMakeButtonWikiText()\n<$button class='tc-btn-invisible' to=\"\"\"$(DestinationTiddler)$\"\"\" tooltip=\"\"\"$(Tooltip)$\"\"\">$(Icon)$</$button>\n\\end\n\nEnter information to create a new icon for the menus. Currently this is only for icons that navigate to an existing tiddler.\n\nName:<$button class='tc-btn-invisible' popup='$:/state/popup/CreateNewMenuButton/NamePopup'>^^(?)^^</$button><$reveal type=popup state='$:/state/popup/CreateNewMenuButton/NamePopup'><div class='tc-drop-down'>Name of the tiddler created to define the button</div></$reveal><br>\n<$edit-text tiddler='$:/temp/Create New Menu Button' field='button_name' placeholder='Icon Name'/>\n\nDestination:<$button class='tc-btn-invisible' popup='$:/state/popup/CreateNewMenuButton/DestinationPopup'>^^(?)^^</$button><$reveal type=popup state='$:/state/popup/CreateNewMenuButton/DestinationPopup'><div class='tc-drop-down'>Name of the tiddler navigated to</div></$reveal><br>\n<$edit-text tiddler='$:/temp/Create New Menu Button' field='destination' placeholder='Tiddler to Open'/>\n\nTooltip:<$button class='tc-btn-invisible' popup='$:/state/popup/CreateNewMenuButton/TooltipPopup'>^^(?)^^</$button><$reveal type=popup state='$:/state/popup/CreateNewMenuButton/TooltipPopup'><div class='tc-drop-down'>Tooltip for the icon created</div></$reveal><br>\n<$edit-text tiddler='$:/temp/Create New Menu Button' field='tooltip' placeholder='Tooltip'/>\n\nIcon:<$button class='tc-btn-invisible' popup='$:/state/popup/CreateNewMenuButton/IconPopup'>^^(?)^^</$button><$reveal type=popup state='$:/state/popup/CreateNewMenuButton/IconPopup'><div class='tc-drop-down'>The icon used for the button. This needs to be whatever wikitext will display the icon, so `{{$:/core/images/right-arrow}}` for {{$:/core/images/right-arrow}}, or `<<fa fa-star>>` for <<fa fa-star>></div></$reveal><br>\n<$edit-text tiddler='$:/temp/Create New Menu Button' field='icon' placeholder='Icon'/> (Icon preview: {{$:/temp/Create New Menu Button!!icon}})\n\nButton Preview:\n\n<$set name=Icon value={{$:/temp/Create New Menu Button!!icon}}>\n<$set name=Tooltip value={{$:/temp/Create New Menu Button!!tooltip}}>\n<$set name=DestinationTiddler value={{$:/temp/Create New Menu Button!!destination}}>\n\n<<thisMakeButtonWikiText>>\n\n<$button>Create Icon\n<$action-setfield $tiddler={{$:/temp/Create New Menu Button!!button_name}} text=<<thisMakeButtonWikiText>>/>\n<$action-setfield $tiddler='$:/temp/Create New Menu Button' button_name='' destination='' tooltip='' icon=''/>\n</$button>\n</$set>\n</$set>\n</$set>"
        },
        "$:/themes/inmysocks/mobile/Create New Tiddler": {
            "caption": "New Tiddler",
            "title": "$:/themes/inmysocks/mobile/Create New Tiddler",
            "text": "\\define thisTiddlerTemplateButton()\n<$button class='tc-btn-invisible' message='tm-new-tiddler' param=<<currentTiddler>>><$list filter='[is[current]removeprefix[Tiddler Template - ]]'><$view field='title'/></$list></$button><br>\n\\end\n\n''Select Template:''\n\n<ul>\n<li><$button class='tc-btn-invisible' message='tm-new-tiddler'>No Template</$button></li>\n<$list filter='[prefix[Tiddler Template - ]]'>\n<li><<thisTiddlerTemplateButton>></li>\n</$list>\n</ul>"
        },
        "$:/themes/inmysocks/mobile/icon_menu_settings": {
            "bottom_bar_background_color": "",
            "bottom_bar_border": "none",
            "bottom_bar_border_color": "green",
            "bottom_bar_height": "40px",
            "bottom_bar_hidden_size": "-20px",
            "bottom_bar_text_size": "20px",
            "bottom_left_menu_font_size": "20px",
            "bottom_left_menu_left_offset": "10px",
            "bottom_left_menu_vertical_offset": "0px",
            "bottom_middle_menu_font_size": "20px",
            "bottom_middle_menu_left_offset": "",
            "bottom_middle_menu_text_color": "black",
            "bottom_middle_menu_vertical_offset": "0px",
            "bottom_right_menu_font_size": "20px",
            "bottom_right_menu_right_offset": "0px",
            "bottom_right_menu_vertical_offset": "",
            "left_menu_font_size": "20px",
            "left_menu_left_offset": "10px",
            "left_menu_text_color": "#000000",
            "left_menu_vertical_offset": "-20px",
            "left_menu_width": "40px",
            "right_menu_font_size": "20px",
            "right_menu_right_offset": "0px",
            "right_menu_text_color": "#000000",
            "right_menu_vertical_offset": "-20px",
            "title": "$:/themes/inmysocks/mobile/icon_menu_settings",
            "top_bar_background_color": "#191919",
            "top_bar_border": "solid",
            "top_bar_border_color": "#a00000",
            "top_bar_height": "40px",
            "top_bar_hidden_size": "-25px",
            "top_bar_text_size": "20px",
            "top_left_menu_font_size": "inherit",
            "top_left_menu_left_offset": "0px",
            "top_left_menu_text_color": "#000000",
            "top_left_menu_vertical_offset": "0px",
            "top_middle_menu_font_size": "inherit",
            "top_middle_menu_left_offset": "0px",
            "top_middle_menu_text_color": "#ffffff",
            "top_middle_menu_vertical_offset": "0px",
            "top_right_menu_font_size": "inherit",
            "top_right_menu_left_offset": "0px",
            "top_right_menu_right_offset": "10px",
            "top_right_menu_text_color": "#0020f0",
            "top_right_menu_vertical_offset": "0px"
        },
        "$:/fonts/FontAwesome": {
            "created": "20140729121621919",
            "creator": "Harald Albrecht",
            "modified": "20150124022157231",
            "modifier": "Tobias Beer",
            "tags": "$:/tags/Stylesheet",
            "title": "$:/fonts/FontAwesome",
            "type": "",
            "text": "<pre>/* add custom extensions by tagging your stylesheet [[$:/tags/FontAwesome]].\n\n *  Font Awesome 4.3.0 by @davegandy - http://fontawesome.io - @fontawesome\n *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)\n */\n/* FONT PATH\n * -------------------------- */\n@font-face {\n  font-family: 'FontAwesome';\nsrc: local(\"FontAwesome\"), 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filter=\"[tag[$:/tags/FontAwesome]]\">\n<$transclude>\n</$list>\n</pre>"
        },
        "$:/themes/inmysocks/mobile/FontAwesomeMacro": {
            "tags": "$:/tags/Macro",
            "title": "$:/themes/inmysocks/mobile/FontAwesomeMacro",
            "text": "\\define fa(iconName)\n<i class=\"fa $iconName$\"></i>\n\\end\n\n\\define falg(iconName)\n<i class=\"fa $iconName$ fa-lg\"></i>\n\\end\n\n\\define fa2x(iconName)\n<i class=\"fa $iconName$ fa-2x\"></i>\n\\end\n\n\\define fa3x(iconName)\n<i class=\"fa $iconName$ fa-3x\"></i>\n\\end\n\n\\define fa4x(iconName)\n<i class=\"fa $iconName$ fa-4x\"></i>\n\\end\n\n\\define fa5x(iconName)\n<i class=\"fa $iconName$ fa-5x\"></i>\n\\end\n\n\\define fafw(iconName)\n<i class=\"fa $iconName$ fa-fw\"></i>\n\\end"
        },
        "$:/themes/inmysocks/mobile/MobileMenu": {
            "empty_field": "",
            "include_body": "Body",
            "include_subtitle": "Subtitle",
            "include_title": "",
            "normal_menu": "Menu",
            "table_of_contents": "TOC",
            "table_of_contents_selective": "TOC-Selective",
            "tags": "$:/tags/Macro",
            "title": "$:/themes/inmysocks/mobile/MobileMenu",
            "text": "\\define inmysocksMobileMenusMakeState(MenuName)\n$:/state/Menu/$MenuName$/$(CurrentTiddler)$\n\\end\n\n\\define inmysocksMobileMenusMakeParentState(MenuName)\n$:/state/Menu/$MenuName$/$(ParentTiddler)$\n\\end\n\n\\define inmysocksMobileMenusEmptyMessage(MenuName MenuType)\n<$reveal type='match' state=\"$:/themes/inmysocks/mobile/MobileMenu!!normal_menu\" text=$MenuType$>\n\t<$tiddler tiddler={{$:/state/Menu/$MenuName$/current}}>\n\t\t<$button class='tc-btn-invisible'>\n\t\t\t\t{{$:/core/images/chevron-left}}\n\t\t\t\t''<$view field=caption>\n\t\t\t\t\t<$view field=title/>\n\t\t\t\t</$view>''\n\t\t\t\t<$action-setfield $tiddler='$:/state/Menu/$MenuName$/current' $value=''/>\n\t\t</$button>\n\t</$tiddler>\n\t<br>\n</$reveal>\n<$reveal type='match' state=\"$:/themes/inmysocks/mobile/MobileMenu!!table_of_contents\" text=$MenuType$>\n\t<$button class='tc-btn-invisible'>\n\t\t{{$:/core/images/chevron-left}}\n\t\t<$action-setfield $tiddler='$:/state/Menu/$MenuName$/current' $value=''/>\n\t</$button>\n\t<$link to={{$:/state/Menu/$MenuName$/current}}>\n\t\t''<$view tiddler={{$:/state/Menu/$MenuName$/current}} field=caption><$view tiddler='$:/state/Menu/$MenuName$/current' field=text/></$view>''\n\t</$link>\n\t<br>\n</$reveal>\n<$reveal type='match' state=\"$:/themes/inmysocks/mobile/MobileMenu!!table_of_contents_selective\" text=$MenuType$>\n\t<$button class='tc-btn-invisible'>\n\t\t{{$:/core/images/chevron-left}}\n\t\t<$action-setfield $tiddler='$:/state/Menu/$MenuName$/current' $value=''/>\n\t</$button>\n\t<$link to={{$:/state/Menu/$MenuName$/current}}>\n\t\t''<$view tiddler={{$:/state/Menu/$MenuName$/current}} field=caption><$view tiddler='$:/state/Menu/$MenuName$/current' field=text/></$view>''\n\t</$link>\n\t<br>\n</$reveal>\n\\end\n\n\\define inmysocksMobileMenusEmptyMessage2ListItem(MenuName MenuType)\n<$reveal type='match' state=\"$:/themes/inmysocks/mobile/MobileMenu!!normal_menu\" text=$MenuType$ tag=span>\n\t<$button class='tc-btn-invisible' set=<<inmysocksMobileMenusMakeState \"\"\"$MenuName$\"\"\">> setTo=<<currentTiddler>>>\n\t\t{{$:/core/images/right-arrow}}<$view tiddler=<<currentTiddler>> field='caption'><$view tiddler=<<currentTiddler>> field='title'/></$view>\n\t\t<$action-setfield $tiddler='$:/state/Menu/$MenuName$/current' $value={{!!title}}/>\n\t</$button>\n\t<br>\n</$reveal>\n<$reveal type='match' state=\"$:/themes/inmysocks/mobile/MobileMenu!!table_of_contents\" text=$MenuType$>\n\t<$button class='tc-btn-invisible' set=<<inmysocksMobileMenusMakeState \"\"\"$MenuName$\"\"\">> setTo=<<currentTiddler>>>\n\t\t{{$:/core/images/right-arrow}}\n\t\t<$action-setfield $tiddler='$:/state/Menu/$MenuName$/current' $value={{!!title}}/>\n\t</$button>\n\t<$link to=<<currentTiddler>>>\n\t\t<$view tiddler=<<currentTiddler>> field='caption'><$view tiddler=<<currentTiddler>> field='title'/></$view>\n\t</$link>\n\t<br>\n</$reveal>\n<$reveal type='match' state=\"$:/themes/inmysocks/mobile/MobileMenu!!table_of_contents_selective\" text=$MenuType$>\n\t<$list filter='[tag{!!title}limit[1]]' variable=dummy>\n\t\t<$button class='tc-btn-invisible' set=<<inmysocksMobileMenusMakeState \"\"\"$MenuName$\"\"\">> setTo=<<currentTiddler>>>\n\t\t\t{{$:/core/images/right-arrow}}\n\t\t\t<$action-setfield $tiddler='$:/state/Menu/$MenuName$/current' $value={{!!title}}/>\n\t\t</$button>\n\t</$list>\n\t<$link to=<<currentTiddler>>>\n\t\t<$view tiddler=<<currentTiddler>> field='caption'><$view tiddler=<<currentTiddler>> field='title'/></$view>\n\t</$link>\n\t<br>\n</$reveal>\n\\end\n\n\\define inmysocksMobileMenusEmptyMessage2(MenuName MenuType ListField)\n<$reveal type='match' state='$:/themes/inmysocks/mobile/MobileMenu!!empty_field' text=\"\"\"$ListField$\"\"\">\n\t<$list filter='[tag<CurrentTiddler>]'>\n\t\t<<inmysocksMobileMenusEmptyMessage2ListItem \"\"\"$MenuName$\"\"\" \"\"\"$MenuType$\"\"\">>\n\t</$list>\n</$reveal>\n<$reveal type='nomatch' state='$:/themes/inmysocks/mobile/MobileMenu!!empty_field' text=\"\"\"$ListField$\"\"\">\n\t<$tiddler tiddler={{$:/state/Menu/$MenuName$/current}}>\n\t\t<$list filter='[list[!!$ListField$]]'>\n\t\t\t<<inmysocksMobileMenusEmptyMessage2ListItem \"\"\"$MenuName$\"\"\" \"\"\"$MenuType$\"\"\">>\n\t\t</$list>\n\t</$tiddler>\n</$reveal>\n\\end\n\n\\define inmysocksMobileMenusTemplateListItemTOCSelectiveIsSpecial(MenuName MenuType ListField)\n<$reveal type='match' state='$:/themes/inmysocks/mobile/MobileMenu!!empty_field' text=\"\"\"$ListField$\"\"\">\n\t<$list filter='[tag<ThisTiddler2>limit[1]]' variable=dummy>\n\t\t<$button class='tc-btn-invisible' set=<<inmysocksMobileMenusMakeState \"\"\"$MenuName$\"\"\">> setTo=<<ThisTiddler2>>>\n\t\t\t{{$:/core/images/right-arrow}}\n\t\t\t<$action-setfield $tiddler='$:/state/Menu/$MenuName$/current' $value=<<ThisTiddler2>>/>\n\t\t</$button>\n\t</$list>\n</$reveal>\n<$reveal type='nomatch' state='$:/themes/inmysocks/mobile/MobileMenu!!empty_field' text=\"\"\"$ListField$\"\"\">\n\t<$tiddler tiddler={{$:/state/Menu/$MenuName$/current}}>\n\t\t<$list filter='[list[!!$ListField$]limit[1]]' variable=dummy>\n\t\t\t<$button class='tc-btn-invisible' set=<<inmysocksMobileMenusMakeState \"\"\"$MenuName$\"\"\">> setTo=<<ThisTiddler2>>>\n\t\t\t\t{{$:/core/images/right-arrow}}\n\t\t\t\t<$action-setfield $tiddler='$:/state/Menu/$MenuName$/current' $value=<<ThisTiddler2>>/>\n\t\t\t</$button>\n\t\t</$list>\n\t</$tiddler>\n</$reveal>\n\\end\n\n\\define inmysocksMobileMenusTemplateListItem(MenuName MenuType ListField)\n<$reveal type='match' state=\"$:/themes/inmysocks/mobile/MobileMenu!!normal_menu\" text=$MenuType$>\n\t<$button class='tc-btn-invisible' set=<<inmysocksMobileMenusMakeState \"\"\"$MenuName$\"\"\">> setTo=<<ThisTiddler2>>>\n\t\t{{$:/core/images/right-arrow}}<$view tiddler=<<ThisTiddler2>> field='caption'><$view tiddler=<<ThisTiddler2>> field='title'/></$view>\n\t\t<$action-setfield $tiddler='$:/state/Menu/$MenuName$/current' $value=<<ThisTiddler2>>/>\n\t</$button>\n\t<br>\n</$reveal>\n<$reveal type='match' state=\"$:/themes/inmysocks/mobile/MobileMenu!!table_of_contents\" text=$MenuType$>\n\t<$button class='tc-btn-invisible' set=<<inmysocksMobileMenusMakeState \"\"\"$MenuName$\"\"\">> setTo=<<ThisTiddler2>>>\n\t\t{{$:/core/images/right-arrow}}\n\t\t<$action-setfield $tiddler='$:/state/Menu/$MenuName$/current' $value=<<ThisTiddler2>>/>\n\t</$button>\n\t<$link to=<<ThisTiddler2>>>\n\t\t<$view tiddler=<<ThisTiddler2>> field='caption'><$view tiddler=<<ThisTiddler2>> field='title'/></$view>\n\t</$link>\n\t<br>\n</$reveal>\n<$reveal type='match' state=\"$:/themes/inmysocks/mobile/MobileMenu!!table_of_contents_selective\" text=$MenuType$>\n\t<<inmysocksMobileMenusTemplateListItemTOCSelectiveIsSpecial \"\"\"$MenuName$\"\"\" \"\"\"$MenuType$\"\"\" \"\"\"$ListField$\"\"\">>\n\t<$link to=<<ThisTiddler2>>>\n\t\t<$view tiddler=<<ThisTiddler2>> field='caption'><$view tiddler=<<ThisTiddler2>> field='title'/></$view>\n\t</$link>\n\t<br>\n</$reveal>\n\\end\n\n\\define inmysocksMobileMenusTemplate(MenuName MenuType ListField)\n<$set name=CurrentTiddler value={{$:/state/Menu/$MenuName$/current}}>\n\t<$list filter='[text<CurrentTiddler>removeprefix[$:/state/Menu/$MenuName$/]]-[[current]]+[limit[1]]' variable=ParentTiddler emptyMessage=<<inmysocksMobileMenusEmptyMessage2 \"\"\"$MenuName$\"\"\" \"\"\"$MenuType$\"\"\" \"\"\"$ListField$\"\"\">>>\n\t\t<$reveal type='match' state='$:/themes/inmysocks/mobile/MobileMenu!!empty_field' text=\"\"\"$ListField$\"\"\">\n\t\t\t<$list filter='[tag<CurrentTiddler>]' variable=ThisTiddler2>\n\t\t\t\t<<inmysocksMobileMenusTemplateListItem \"\"\"$MenuName$\"\"\" \"\"\"$MenuType$\"\"\" \"\"\"$ListField$\"\"\">>\n\t\t\t</$list>\n\t\t</$reveal>\n\t\t<$reveal type='nomatch' state='$:/themes/inmysocks/mobile/MobileMenu!!empty_field' text=\"\"\"$ListField$\"\"\">\n\t\t\t<$tiddler tiddler={{$:/state/Menu/$MenuName$/current}}>\n\t\t\t\t<$list filter='[list[!!$ListField$]]' variable=ThisTiddler2>\n\t\t\t\t\t<<inmysocksMobileMenusTemplateListItem \"\"\"$MenuName$\"\"\" \"\"\"$MenuType$\"\"\" \"\"\"$ListField$\"\"\">>\n\t\t\t\t</$list>\n\t\t\t</$tiddler>\n\t\t</$reveal>\n\t</$list>\n</$set>\n\\end\n\n\\define inmysocksMobileMenusRootListEntry(MenuName MenuType)\n<$reveal type='match' state=\"$:/themes/inmysocks/mobile/MobileMenu!!normal_menu\" text=$MenuType$>\n\t<$button class='tc-btn-invisible' set='$:/state/Menu/$MenuName$/current' setTo={{!!title}}>\n\t\t{{$:/core/images/right-arrow}}<$view field='caption'><$view field='title'/></$view>\n\t\t<$action-setfield $tiddler='$:/state/Menu/$MenuName$/current' $value={{!!title}}/>\n\t</$button>\n\t<br>\n</$reveal>\n<$reveal type='match' state=\"$:/themes/inmysocks/mobile/MobileMenu!!table_of_contents\" text=$MenuType$>\n\t<$button class='tc-btn-invisible' set='$:/state/Menu/$MenuName$/current' setTo={{!!title}}>\n\t\t{{$:/core/images/right-arrow}}\n\t\t<$action-setfield $tiddler='$:/state/Menu/$MenuName$/current' $value={{!!title}}/>\n\t</$button>\n\t<$link>\n\t\t<$view field='caption'><$view field='title'/></$view>\n\t</$link>\n\t<br>\n</$reveal>\n<$reveal type='match' state=\"$:/themes/inmysocks/mobile/MobileMenu!!table_of_contents_selective\" text=$MenuType$>\n\t<$list filter='[tag{!!title}limit[1]]' variable=dummy>\n\t\t<$button class='tc-btn-invisible' set='$:/state/Menu/$MenuName$/current' setTo={{!!title}}>\n\t\t\t{{$:/core/images/right-arrow}}\n\t\t\t<$action-setfield $tiddler='$:/state/Menu/$MenuName$/current' $value={{!!title}}/>\n\t\t</$button>\n\t</$list>\n\t<$link>\n\t\t<$view field='caption'><$view field='title'/></$view>\n\t</$link>\n\t<br>\n</$reveal>\n\\end\n\n\\define MobileMenu(RootTag:\"RootTag\" MenuName:Menu MenuType:Menu MenuTitle:\"\" ShowSubtitle:no ShowBody:no ListField:\"\")\n<$reveal type=nomatch state=\"\"\"$:/themes/inmysocks/mobile/MobileMenu!!include_title\"\"\" text=\"\"\"$MenuTitle$\"\"\">\n\t$MenuTitle$\n</$reveal>\n\n<$reveal type='match' state='$:/state/Menu/$MenuName$/current' text=''>\n\t<$reveal type='match' state='$:/themes/inmysocks/mobile/MobileMenu!!empty_field' text=\"\"\"$ListField$\"\"\">\n\t\t<$list filter='[tag[$RootTag$]]'>\n\t\t\t<<inmysocksMobileMenusRootListEntry \"\"\"$MenuName$\"\"\" \"\"\"$MenuType$\"\"\">>\n\t\t</$list>\n\t</$reveal>\n\t<$reveal type='nomatch' state='$:/themes/inmysocks/mobile/MobileMenu!!empty_field' text=\"\"\"$ListField$\"\"\">\n\t\t<$list filter={{!!$ListField$}}>\n\t\t\t<<inmysocksMobileMenusRootListEntry \"\"\"$MenuName$\"\"\" \"\"\"$MenuType$\"\"\">>\n\t\t</$list>\n\t</$reveal>\n</$reveal>\n\n<$reveal type='nomatch' state='$:/state/Menu/$MenuName$/current' text=''>\n\t<$list filter='[is[system]prefix[$:/state/Menu/$MenuName$/]has[text]]-[[$:/state/Menu/$MenuName$/current]]+[limit[1]]' emptyMessage=<<inmysocksMobileMenusEmptyMessage \"\"\"$MenuName$\"\"\" \"\"\"$MenuType$\"\"\">>> </$list>\n\t<$list filter='[text{$:/state/Menu/$MenuName$/current}removeprefix[$:/state/Menu/$MenuName$/]]-[[current]]+[limit[1]]' variable=ParentTiddler>\n\t\t<$reveal type='match' state=\"$:/themes/inmysocks/mobile/MobileMenu!!normal_menu\" text=$MenuType$>\n\t\t\t<$button class='tc-btn-invisible' style='text-align:left'>\n\t\t\t\t{{$:/core/images/chevron-left}}\n\t\t\t\t''<$view tiddler={{$:/state/Menu/$MenuName$/current}} field=caption><$view tiddler={{$:/state/Menu/$MenuName$/current}} field=title/></$view>''\n\t\t\t\t<$action-setfield $tiddler='$:/state/Menu/$MenuName$/current' $value=<<ParentTiddler>>/>\n\t\t\t\t<$action-setfield $tiddler=<<inmysocksMobileMenusMakeParentState \"\"\"$MenuName$\"\"\">> $value=''/>\n\t\t\t</$button>\n\t\t\t<br>\n\t\t</$reveal>\n\t\t<$reveal type='match' state=\"$:/themes/inmysocks/mobile/MobileMenu!!table_of_contents\" text=$MenuType$>\n\t\t\t<$button class='tc-btn-invisible'>\n\t\t\t\t{{$:/core/images/chevron-left}}\n\t\t\t\t<$action-setfield $tiddler='$:/state/Menu/$MenuName$/current' $value=<<ParentTiddler>>/>\n\t\t\t\t<$action-setfield $tiddler=<<inmysocksMobileMenusMakeParentState \"\"\"$MenuName$\"\"\">> $value=''/>\n\t\t\t</$button>\n\t\t\t<$link to={{$:/state/Menu/$MenuName$/current}}>\n\t\t\t\t''<$view tiddler={{$:/state/Menu/$MenuName$/current}} field=caption><$view tiddler={{$:/state/Menu/$MenuName$/current}} field=title/></$view>''\n\t\t\t</$link>\n\t\t\t<br>\n\t\t</$reveal>\n\t\t<$reveal type='match' state=\"$:/themes/inmysocks/mobile/MobileMenu!!table_of_contents_selective\" text=$MenuType$>\n\t\t\t<$button class='tc-btn-invisible'>\n\t\t\t\t{{$:/core/images/chevron-left}}\n\t\t\t\t<$action-setfield $tiddler='$:/state/Menu/$MenuName$/current' $value=<<ParentTiddler>>/>\n\t\t\t\t<$action-setfield $tiddler=<<inmysocksMobileMenusMakeParentState \"\"\"$MenuName$\"\"\">> $value=''/>\n\t\t\t</$button>\n\t\t\t<$link to={{$:/state/Menu/$MenuName$/current}}>\n\t\t\t\t''<$view tiddler={{$:/state/Menu/$MenuName$/current}} field=caption><$view tiddler={{$:/state/Menu/$MenuName$/current}} field=title/></$view>''\n\t\t\t</$link>\n\t\t\t<br>\n\t\t</$reveal>\n\t</$list>\n\n\t<$reveal type='match' state='$:/themes/inmysocks/mobile/MobileMenu!!include_subtitle' text=$ShowSubtitle$>\n\t\t<$transclude tiddler={{$:/state/Menu/$MenuName$/current}} field='subtitle' mode=block/>\n\t</$reveal>\n\n\t<$reveal type='match' state='$:/themes/inmysocks/mobile/MobileMenu!!empty_field' text=\"\"\"$ListField$\"\"\">\n\t\t<$list filter='[tag{$:/state/Menu/$MenuName$/current}limit[1]]' variable=ThisTiddler>\n\t\t\t<<inmysocksMobileMenusTemplate \"\"\"$MenuName$\"\"\" \"\"\"$MenuType$\"\"\" \"\"\"$ListField$\"\"\">>\n\t\t</$list>\n\t</$reveal>\n\t<$reveal type='nomatch' state='$:/themes/inmysocks/mobile/MobileMenu!!empty_field' text=\"\"\"$ListField$\"\"\">\n\t\t<$tiddler tiddler={{$:/state/Menu/$MenuName$/current}}>\n\t\t\t<$list filter='[list[!!$ListField$]limit[1]]' variable=ThisTiddler>\n\t\t\t\t<<inmysocksMobileMenusTemplate \"\"\"$MenuName$\"\"\" \"\"\"$MenuType$\"\"\" \"\"\"$ListField$\"\"\">>\n\t\t\t</$list>\n\t\t</$tiddler>\n\t</$reveal>\n\n\t<$reveal type='match' state='$:/themes/inmysocks/mobile/MobileMenu!!include_body' text=$ShowBody$>\n\t\t<$transclude tiddler={{$:/state/Menu/$MenuName$/current}} mode=block/>\n\t</$reveal>\n</$reveal>\n\\end"
        },
        "$:/themes/inmysocks/mobile/Popout Menu Macro": {
            "tags": "$:/tags/Macro",
            "title": "$:/themes/inmysocks/mobile/Popout Menu Macro",
            "text": "\\define PopoutMenu(Icon Name Tiddler Tooltip PopupClass:\"tc-popup-keep tc-popup-menu-default\" ButtonClass:\"tc-btn-invisible\")\n<$button class='$ButtonClass$' popup=\"$:/state/$Name$\" tooltip='$Tooltip$'>$Icon$</$button>\n\n<$reveal type=\"popup\" state=\"$:/state/$Name$\">\n\n<div class='$PopupClass$'>\n<$transclude tiddler=\"\"\"$Tiddler$\"\"\" mode=block/>\n</div>\n\n</$reveal>\n\\end\n\n\\define PopoutMenuScrollable(Icon Name Tiddler Tooltip PopupClass:\"tc-popup-keep tc-popup-menu-default\" ButtonClass:\"tc-btn-invisible\" ScrollClass:'tc-scrollable-menu-default')\n<$button class='$ButtonClass$' popup=\"$:/state/$Name$\" tooltip='$Tooltip$'>$Icon$</$button>\n\n<$reveal type=\"popup\" state=\"$:/state/$Name$\">\n\n<div class='tc-popup-keep $PopupClass$'>\n<$scrollable class='$ScrollClass$'>\n<$transclude tiddler=\"\"\"$Tiddler$\"\"\" mode=block/>\n</$scrollable>\n</div>\n\n</$reveal>\n\\end"
        },
        "$:/themes/inmysocks/mobile/Menu - Create New": {
            "list": "[[$:/themes/inmysocks/mobile/Create New Tiddler]] [[$:/themes/inmysocks/mobile/Create New Task]] [[$:/plugins/inmysocks/Contacts/New Contact Form]] [[$:/plugins/inmysocks/LibraryTracker/Add Books]] [[$:/plugins/inmysocks/Bookmarks/Add Bookmark]]",
            "tags": "",
            "title": "$:/themes/inmysocks/mobile/Menu - Create New",
            "text": "@@width:700px;\n<<MobileMenu MenuName:\"MenuCreateNew\" ShowBody:Body ListField:list MenuTitle:\"Create New:\">>\n@@"
        },
        "$:/themes/inmysocks/mobile/BottomBar/menu": {
            "tags": "[[Icon Menus]] $:/tags/PageTemplate",
            "title": "$:/themes/inmysocks/mobile/BottomBar/menu",
            "text": "<$list filter='[all[]][plugintiddlers[]]+[menu[Bottom Left]][menu[Bottom Center]][menu[Bottom Right]]+[tag[Menu Icon]]+[tag[Visible]]+[limit[1]]'>\n<div class=\"tc-iconmenubottombar tc-page-controls\">\n<div class='tc-bottomleftmenu'>\n<$list filter='[all[]][plugintiddlers[]]+[tag[Menu Icon]menu[Bottom Left]]+[tag[Visible]]+[nsort[order]]'><$transclude/></$list>\n</div>\n<div class='tc-bottomcentermenu'>\n<$list filter='[all[]][plugintiddlers[]]+[tag[Menu Icon]menu[Bottom Center]]+[tag[Visible]]+[nsort[order]]'><$transclude/></$list>\n</div>\n<div class='tc-bottomrightmenu'>\n<$list filter='[all[]][plugintiddlers[]]+[tag[Menu Icon]menu[Bottom Right]]+[tag[Visible]]+[nsort[order]]'><$transclude/></$list>\n</div>\n</div>\n</$list>"
        },
        "$:/themes/inmysocks/mobile/Left Menu": {
            "tags": "[[Icon Menus]] $:/tags/PageTemplate",
            "title": "$:/themes/inmysocks/mobile/Left Menu",
            "type": "application/x-tiddler",
            "text": "<div class='tc-leftmenu-wrapper'>\n<div class=\"tc-leftmenu tc-page-controls\">\n\n@@.tc-site-title\n\n@@\n\n<$list filter='[tag[Menu Icon]menu[Left]][plugintiddlers[]tag[Menu Icon]menu[Left]]+[nsort[order]]+[tag[Visible]]'>\n\n<$transclude mode=block/>\n\n</$list>\n\n</div>\n</div>"
        },
        "$:/themes/inmysocks/mobile/Right Menu": {
            "class": "tc-rightmenu-wrapper",
            "tags": "[[Icon Menus]] $:/tags/PageTemplate",
            "title": "$:/themes/inmysocks/mobile/Right Menu",
            "type": "application/x-tiddler",
            "text": "<div class=\"tc-rightmenu-wrapper\">\n<div class=\"tc-page-controls tc-rightmenu\">\n\n@@.tc-site-title\n\n@@\n\n<$list filter='[tag[Menu Icon]menu[Right]][plugintiddlers[]tag[Menu Icon]menu[Right]]+[nsort[order]]+[tag[Visible]]'>\n\n<$transclude/>\n\n</$list>\n\n</div>\n</div>"
        },
        "$:/themes/inmysocks/mobile/TopBar Menu": {
            "tags": "[[Icon Menus]] $:/tags/TopRightBar",
            "title": "$:/themes/inmysocks/mobile/TopBar Menu",
            "text": "<$list filter='[all[]][plugintiddlers[]]+[menu[Top Left]][menu[Top Center]][menu[Top Right]]+[tag[Visible]]+[tag[Menu Icon]]+[limit[1]]'>\n<div class=\"tc-iconmenutopbar\">\n<div class='tc-topleftmenu'>\n<$list filter='[all[]][plugintiddlers[]]+[tag[Menu Icon]menu[Top Left]][plugintiddlers[]tag[Menu Icon]menu[Top Left]]+[tag[Visible]]+[nsort[order]]'><$transclude/></$list>\n</div>\n<div class='tc-topcentermenu'>\n<$list filter='[all[]][plugintiddlers[]]+[tag[Menu Icon]menu[Top Center]][plugintiddlers[]tag[Menu Icon]menu[Top Center]]+[tag[Visible]]+[nsort[order]]'><$transclude/></$list>\n</div>\n<div class='tc-toprightmenu'>\n<$list filter='[all[]][plugintiddlers[]]+[tag[Menu Icon]menu[Top Right]][plugintiddlers[]tag[Menu Icon]menu[Top Right]]+[tag[Visible]]+[nsort[order]]'><$transclude/></$list>\n</div>\n</div>\n</$list>"
        },
        "$:/themes/inmysocks/mobile/Menu Icon - Control Panel Popout": {
            "caption": "Control Panel Popout",
            "menu": "Left",
            "order": "1",
            "tags": "[[Menu Icon]] Visible",
            "title": "$:/themes/inmysocks/mobile/Menu Icon - Control Panel Popout",
            "text": "<$macrocall $name=PopoutMenuScrollable Icon=\"\"\"<<fa fa-gear>>\"\"\" Name=ControlPanelPopout Tiddler=\"$:/ControlPanel\" Tooltip=\"Control Panel\"/>\n\n"
        },
        "$:/themes/inmysocks/mobile/Icon Menu - Create New": {
            "caption": "Create New",
            "list": "[[$:/themes/inmysocks/mobile/Create New Tiddler]] [[$:/themes/inmysocks/mobile/Create New Task]] [[$:/themes/inmysocks/mobile/Create New Menu Button]] [[$:/themes/inmysocks/mobile/New Menu]]",
            "menu": "Left",
            "order": "0",
            "tags": "[[Menu Icon]] Visible",
            "title": "$:/themes/inmysocks/mobile/Icon Menu - Create New",
            "text": "<$macrocall $name=PopoutMenuScrollable Icon=\"\"\"<<fa fa-plus>>\"\"\" Name=CreateNew Tiddler=\"$:/themes/inmysocks/mobile/Menu - Create New\" Tooltip=\"Make New Stuff\"/>\n\n"
        },
        "$:/themes/inmysocks/mobile/icon/Full Screen": {
            "caption": "Full Screen",
            "menu": "Top Left",
            "order": "12",
            "tags": "[[Menu Icon]] Visible",
            "title": "$:/themes/inmysocks/mobile/icon/Full Screen",
            "text": "{{$:/core/ui/Buttons/full-screen}}"
        },
        "$:/themes/inmysocks/mobile/icon/Home": {
            "caption": "Home",
            "menu": "Top Center",
            "order": "0",
            "tags": "[[Menu Icon]] Visible",
            "title": "$:/themes/inmysocks/mobile/icon/Home",
            "text": "{{$:/core/ui/Buttons/home}}"
        },
        "$:/themes/inmysocks/mobile/icon/More": {
            "caption": "More",
            "menu": "Left",
            "order": "3",
            "tags": "[[Menu Icon]] Visible",
            "title": "$:/themes/inmysocks/mobile/icon/More",
            "text": "<$macrocall $name=PopoutMenuScrollable Icon=\"\"\"<<fa fa-ellipsis-h>>\"\"\" Name=MoreTiddlersPopoutMenu Tiddler=\"$:/core/ui/SideBar/More\" Tooltip=\"More\"/>\n\n"
        },
        "$:/themes/inmysocks/mobile/icon/Open Tiddlers": {
            "caption": "Open Tiddlers",
            "order": "0",
            "tags": "[[Menu Icon]]",
            "title": "$:/themes/inmysocks/mobile/icon/Open Tiddlers",
            "text": "<$macrocall $name=PopoutMenuScrollable Icon=\"\"\"<<fa fa-folder-open-o>>\"\"\" Name=OpenTiddlersPopoutMenu Tiddler=\"$:/core/ui/SideBar/Open\" Tooltip=\"Open Tiddlers\"/>"
        },
        "$:/themes/inmysocks/mobile/icon/Recent Tiddlers": {
            "caption": "Recent Tiddlers",
            "order": "0",
            "tags": "[[Menu Icon]]",
            "title": "$:/themes/inmysocks/mobile/icon/Recent Tiddlers",
            "text": "<$macrocall $name=PopoutMenuScrollable Icon=\"\"\"<<fa fa-clock-o>>\"\"\" Name=RecentTiddlersPopoutMenu Tiddler=\"$:/core/ui/SideBar/Recent\" Tooltip=\"Recent Tiddlers\"/>"
        },
        "$:/themes/inmysocks/mobile/icon/Refresh": {
            "caption": "Refresh",
            "menu": "Top Right",
            "order": "6",
            "tags": "[[Menu Icon]] Visible",
            "title": "$:/themes/inmysocks/mobile/icon/Refresh",
            "text": "{{$:/core/ui/Buttons/refresh}}"
        },
        "$:/themes/inmysocks/mobile/icon/Save Wiki": {
            "caption": "Save Wiki",
            "menu": "Top Center",
            "order": "2",
            "tags": "[[Menu Icon]] Visible",
            "title": "$:/themes/inmysocks/mobile/icon/Save Wiki",
            "text": "{{$:/core/ui/Buttons/save-wiki}}"
        },
        "$:/themes/inmysocks/mobile/icon/Search popout menu": {
            "caption": "Advanced Search Popout Menu",
            "menu": "Left",
            "order": "2",
            "tags": "[[Menu Icon]] Visible",
            "title": "$:/themes/inmysocks/mobile/icon/Search popout menu",
            "text": "<$macrocall $name=PopoutMenuScrollable Icon=\"\"\"<<fa fa-search-plus>>\"\"\" Name=AdvancedSearchPopoutMenu Tiddler=\"$:/AdvancedSearch\" Tooltip=\"Advanced Search\"/>"
        },
        "$:/themes/inmysocks/mobile/icon/Wiki Title and Subtitle": {
            "caption": "Wiki Title and Subtitle",
            "menu": "Top Center",
            "order": "1",
            "tags": "[[Menu Icon]] Visible",
            "title": "$:/themes/inmysocks/mobile/icon/Wiki Title and Subtitle",
            "text": "{{$:/SiteTitle}} -- {{$:/SiteSubtitle}}"
        },
        "$:/themes/inmysocks/mobile/metrics/bodyfontsize": {
            "title": "$:/themes/inmysocks/mobile/metrics/bodyfontsize",
            "text": "15px"
        },
        "$:/themes/inmysocks/mobile/metrics/bodylineheight": {
            "title": "$:/themes/inmysocks/mobile/metrics/bodylineheight",
            "text": "22px"
        },
        "$:/themes/inmysocks/mobile/metrics/fontsize": {
            "title": "$:/themes/inmysocks/mobile/metrics/fontsize",
            "text": "14px"
        },
        "$:/themes/inmysocks/mobile/metrics/lineheight": {
            "title": "$:/themes/inmysocks/mobile/metrics/lineheight",
            "text": "20px"
        },
        "$:/themes/inmysocks/mobile/New Menu": {
            "caption": "New Menu",
            "tags": "",
            "title": "$:/themes/inmysocks/mobile/New Menu",
            "text": "\\define thisMakeMenuMacro()\n\n<<MobileMenu RootTag:\"\"\"$(ThisRootTag)$\"\"\" MenuName:\"\"\"$(ThisMenuName)$\"\"\" Type:\"\"\"$(ThisMenuType)$\"\"\" MenuTitle:\"\"\"$(ThisMenuTitle)$\"\"\" ShowSubtitle:\"\"\"$(ThisShowSubtitle)$\"\"\" ShowBody:\"\"\"$(ThisShowBody)$\"\"\" ListField:\"\"\"$(ThisListField)$\"\"\">>\n\n\\end\n\n\\define thisMakeMenuButton()\n<$button>Make Menu\n<$action-setfield $tiddler=\"\"\"$(ThisMenuName)$\"\"\" text=<<thisMakeMenuMacro>> $(ThisListField)$={{$:/temp/NewMenu!!initial_list}}/>\n<$action-setfield $tiddler='$:/temp/NewMenu' menu_name='' menu_title='' root_tag='' list_field='' initial_list=''/>\n</$button>\n\\end\n\nMenu Name:<$button class='tc-btn-invisible' popup='$:/state/popup/CreateNewMenu/MenuNamePopup'>^^(?)^^</$button><$reveal type=popup state='$:/state/popup/CreateNewMenu/MenuNamePopup'><div class='tc-drop-down'>Name of the tiddler created to hold the menu, also the name used to determine the state of the menu. This needs to be unique.</div></$reveal> <$edit-text tiddler='$:/temp/NewMenu' field='menu_name' placeholder='Menu Name'/>\n\nMenu Type:<$button class='tc-btn-invisible' popup='$:/state/popup/CreateNewMenu/MenuTypePopup'>^^(?)^^</$button><$reveal type=popup state='$:/state/popup/CreateNewMenu/MenuTypePopup'><div class='tc-drop-down'>The type of menu created. Table of contents and Selective Expandable TOC act similarly to the normal table of contents macros.</div></$reveal> <$select tiddler='$:/state/NewMenu' field='menu_type'><option value=''>--</option><option>Normal Menu</option><option>Table of Contents</option><option>Selective Expandable TOC</option></$select>\n\nMenu Title:<$button class='tc-btn-invisible' popup='$:/state/popup/CreateNewMenu/MenuTitlePopup'>^^(?)^^</$button><$reveal type=popup state='$:/state/popup/CreateNewMenu/MenuTitlePopup'><div class='tc-drop-down'>This is displayed above the menu. It can be left blank.</div></$reveal> <$edit-text tiddler='$:/temp/NewMenu' field='menu_title' placeholder='Menu Title'/>\n\n<$checkbox tiddler='$:/temp/NewMenu' field='show_subtitle' checked='Subtitle' unchecked=''>Show subtitles</$checkbox><$button class='tc-btn-invisible' popup='$:/state/popup/CreateNewMenu/MenuShowSubtitlePopup'>^^(?)^^</$button><$reveal type=popup state='$:/state/popup/CreateNewMenu/MenuShowSubtitlePopup'><div class='tc-drop-down'>If this is checked than the subtitle field of the tiddler selected in the menu will display above the rest of the menu items.</div></$reveal><br>\n<$checkbox tiddler='$:/temp/NewMenu' field='show_body' checked='Body' unchecked=''>Show tiddler body</$checkbox><$button class='tc-btn-invisible' popup='$:/state/popup/CreateNewMenu/MenuShowBodyPopup'>^^(?)^^</$button><$reveal type=popup state='$:/state/popup/CreateNewMenu/MenuShowBodyPopup'><div class='tc-drop-down'>If this is checked than the main body of the tiddler selected will be displayed along with the menu.</div></$reveal>\n\n<$radio tiddler='$:/temp/NewMenu' field='tag_or_list' value='tag'>Tag based</$radio><$button class='tc-btn-invisible' popup='$:/state/popup/CreateNewMenu/MenuFieldTypePopup'>^^(?)^^</$button><$reveal type=popup state='$:/state/popup/CreateNewMenu/MenuFieldTypePopup'><div class='tc-drop-down'>For this option the menu is structured like the normal table of contents macros using tags to determine what is displayed at each level.</div></$reveal><br>\n<$radio tiddler='$:/temp/NewMenu' field='tag_or_list' value='list'>List based</$radio><$button class='tc-btn-invisible' popup='$:/state/popup/CreateNewMenu/MenuListTypePopup'>^^(?)^^</$button><$reveal type=popup state='$:/state/popup/CreateNewMenu/MenuListTypePopup'><div class='tc-drop-down'>For this option the tiddlers listed under each menu entry are determined by the list of the selected tiddler. The field that holds this list is entered below.</div></$reveal>\n\n<$reveal type='match' state='$:/temp/NewMenu!!tag_or_list' text=tag>\nRoot tag: <$edit-text tiddler='$:/temp/NewMenu' field='root_tag'/><$button class='tc-btn-invisible' popup='$:/state/popup/CreateNewMenu/MenuRootTagPopup'>^^(?)^^</$button><$reveal type=popup state='$:/state/popup/CreateNewMenu/MenuRootTagPopup'><div class='tc-drop-down'>The root tag used for creating the menu.</div></$reveal>\n</$reveal>\n<$reveal type='match' state='$:/temp/NewMenu!!tag_or_list' text=list>\nList field:<$button class='tc-btn-invisible' popup='$:/state/popup/CreateNewMenu/MenuListFieldPopup'>^^(?)^^</$button><$reveal type=popup state='$:/state/popup/CreateNewMenu/MenuListFieldPopup'><div class='tc-drop-down'>The name of the field that holds the list of tiddlers in the menu below the current tiddler.</div></$reveal> <$edit-text tiddler='$:/temp/NewMenu' field='list_field'/><br>\nTop level list:<$button class='tc-btn-invisible' popup='$:/state/popup/CreateNewMenu/MenuInitialListPopup'>^^(?)^^</$button><$reveal type=popup state='$:/state/popup/CreateNewMenu/MenuInitialListPopup'><div class='tc-drop-down'>The list of tiddlers for the root of the menu.</div></$reveal> <$edit-text tiddler='$:/temp/NewMenu' field='initial_list'/>\n</$reveal>\n\n<$set name=ThisRootTag value={{$:/temp/NewMenu!!root_tag}}>\n<$set name=ThisMenuName value={{$:/temp/NewMenu!!menu_name}}>\n<$set name=ThisMenuType value={{$:/state/NewMenu!!menu_type}}>\n<$set name=ThisMenuTitle value={{$:/temp/NewMenu!!menu_title}}>\n<$set name=ThisShowSubtitle value={{$:/temp/NewMenu!!show_subtitle}}>\n<$set name=ThisShowBody value={{$:/temp/NewMenu!!show_body}}>\n<$set name=ThisListField value={{$:/temp/NewMenu!!list_field}}>\n\n<<thisMakeMenuButton>>\n\n</$set>\n</$set>\n</$set>\n</$set>\n</$set>\n</$set>\n</$set>"
        },
        "$:/themes/inmysocks/mobile/Bottom Menu Options": {
            "caption": "Bottom Menu Options",
            "title": "$:/themes/inmysocks/mobile/Bottom Menu Options",
            "text": "Bottom Bar Height: <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='bottom_bar_height'/><br>\nBottom Bar Background Color: <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='bottom_bar_background_color'/><br>\nShow Bottom Bar Border: <$checkbox tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='bottom_bar_border' checked=solid unchecked=none/><br>\nBottom Bar Border Color: <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='bottom_bar_border_color'/><br>\nBottom Bar Text Size: <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='bottom_bar_text_size'/><br>\nText Color (Bottom Left): <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='bottom_left_menu_text_color'/><br>\nText Color (Bottom Center): <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='bottom_middle_menu_text_color'/><br>\nText Color (Bottom Right): <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='bottom_right_menu_text_color'/>"
        },
        "$:/themes/inmysocks/mobile/Left Menu Options": {
            "caption": "Left Menu Options",
            "title": "$:/themes/inmysocks/mobile/Left Menu Options",
            "text": "Vertical Offset: <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='left_menu_vertical_offset'/> (Distance from the bottom of the top bar or top of the screen)<br>\nFont Size: <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='left_menu_font_size'/><br>\nText Color: <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='left_menu_text_color'/><br>"
        },
        "$:/themes/inmysocks/mobile/Right Menu Options": {
            "caption": "Right Menu Options",
            "title": "$:/themes/inmysocks/mobile/Right Menu Options",
            "text": "Vertical Offset: <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='right_menu_vertical_offset'/> (Distance from the bottom of the top bar or top of the screen)<br>\nFont Size: <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='right_menu_font_size'/><br>\nText Color: <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='right_menu_text_color'/> <br>"
        },
        "$:/themes/inmysocks/mobile/Top Menu Options": {
            "caption": "Top Menu Options",
            "title": "$:/themes/inmysocks/mobile/Top Menu Options",
            "text": "Top Bar Height: <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='top_bar_height'/><br>\nTop Bar Background Color: <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='top_bar_background_color'/><br>\nShow Top Bar Border: <$checkbox tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='top_bar_border' checked=solid unchecked=none/><br>\nTop Bar Border Color: <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='top_bar_border_color'/><br>\nTop Bar Text Size: <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='top_bar_text_size'/><br>\nText Color (Top left): <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='top_left_menu_text_color'/><br>\nText Color (Top center): <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='top_middle_menu_text_color'/><br>\nText Color (Top right): <$edit-text tiddler='$:/themes/inmysocks/mobile/icon_menu_settings' field='top_right_menu_text_color'/>"
        },
        "$:/themes/inmysocks/mobile/options/stickytitles": {
            "title": "$:/themes/inmysocks/mobile/options/stickytitles",
            "text": "no"
        },
        "$:/theme/inmysocks/mobile/Preset - Default": {
            "caption": "Default",
            "created": "20150426035826595",
            "modified": "20150426040720117",
            "tags": "[[Mobile Theme Preset]]",
            "title": "$:/theme/inmysocks/mobile/Preset - Default",
            "type": "application/json",
            "text": "{\n    \"$:/themes/inmysocks/mobile/Icon Menu - Create New\": \"Left\",\n    \"$:/themes/inmysocks/mobile/Menu Icon - Control Panel Popout\": \"Left\",\n    \"$:/themes/inmysocks/mobile/icon/Search popout menu\": \"Left\",\n    \"$:/themes/inmysocks/mobile/icon/More\": \"Left\",\n    \"$:/themes/inmysocks/mobile/icon/Full Screen\": \"Top Left\",\n    \"$:/themes/inmysocks/mobile/icon/Home\": \"Top Center\",\n    \"$:/themes/inmysocks/mobile/icon/Wiki Title and Subtitle\": \"Top Center\",\n    \"$:/themes/inmysocks/mobile/icon/Save Wiki\": \"Top Center\",\n    \"$:/themes/inmysocks/mobile/icon/Refresh\": \"Top Right\"\n}"
        },
        "$:/themes/inmysocks/mobile/Preset - No Topbar": {
            "caption": "No Topbar",
            "created": "20150426040431612",
            "modified": "20150426040724661",
            "tags": "[[Mobile Theme Preset]]",
            "title": "$:/themes/inmysocks/mobile/Preset - No Topbar",
            "type": "application/json",
            "text": "{\n    \"$:/themes/inmysocks/mobile/Icon Menu - Create New\": \"Left\",\n    \"$:/themes/inmysocks/mobile/Menu Icon - Control Panel Popout\": \"Left\",\n    \"$:/themes/inmysocks/mobile/icon/Search popout menu\": \"Left\",\n    \"$:/themes/inmysocks/mobile/icon/More\": \"Left\",\n    \"$:/themes/inmysocks/mobile/icon/Full Screen\": \"Left\",\n    \"$:/themes/inmysocks/mobile/icon/Home\": \"Right\",\n    \"$:/themes/inmysocks/mobile/icon/Save Wiki\": \"Right\",\n    \"$:/themes/inmysocks/mobile/icon/Refresh\": \"Right\"\n}"
        },
        "$:/themes/inmysocks/mobile/settings/codefontfamily": {
            "title": "$:/themes/inmysocks/mobile/settings/codefontfamily",
            "text": "Monaco, Consolas, \"Lucida Console\", \"DejaVu Sans Mono\", monospace"
        },
        "$:/themes/inmysocks/mobile/settings/fontfamily": {
            "title": "$:/themes/inmysocks/mobile/settings/fontfamily",
            "text": "\"Helvetica Neue\", Helvetica, Arial, \"Lucida Grande\", \"DejaVu Sans\", sans-serif"
        },
        "$:/themes/inmysocks/mobile/sticky": {
            "title": "$:/themes/inmysocks/mobile/sticky",
            "text": "<$reveal state=\"$:/themes/inmysocks/mobile/options/stickytitles\" type=\"match\" text=\"yes\">\n``\n.tc-tiddler-title {\n\tposition: -webkit-sticky;\n\tposition: -moz-sticky;\n\tposition: -o-sticky;\n\tposition: -ms-sticky;\n\tposition: sticky;\n\ttop: 0px;\n\tbackground: ``<<colour tiddler-background>>``;\n\tz-index: 500;\n}\n``\n</$reveal>\n"
        },
        "$:/themes/inmysocks/mobile/base": {
            "tags": "$:/tags/Stylesheet",
            "title": "$:/themes/inmysocks/mobile/base",
            "text": "\\define custom-background-datauri()\n<$set name=\"background\" value={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}>\n<$list filter=\"[<background>is[image]]\">\n`background: url(`\n<$list filter=\"[<background>!has[_canonical_uri]]\">\n<$macrocall $name=\"datauri\" title={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}/>\n</$list>\n<$list filter=\"[<background>has[_canonical_uri]]\">\n<$view tiddler={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}} field=\"_canonical_uri\"/>\n</$list>\n`) center center;`\n`background-attachment: `{{$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment}}`;\n-webkit-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-moz-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-o-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\nbackground-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;`\n</$list>\n</$set>\n\\end\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n/*\n** Start with the normalize CSS reset, and then belay some of its effects\n** Adapted from $:/themes/tiddlywiki/vanilla/base\n*/\n\n{{$:/themes/inmysocks/mobile/reset}}\n\n*, input[type=\"search\"] {\n\tbox-sizing: border-box;\n\t-moz-box-sizing: border-box;\n\t-webkit-box-sizing: border-box;\n}\n\nhtml button {\n\tline-height: 1.2;\n}\n\n/*\n** Basic element styles\n*/\n\nhtml {\n\tfont-family: {{$:/themes/inmysocks/mobile/settings/fontfamily}};\n\ttext-rendering: optimizeLegibility; /* Enables kerning and ligatures etc. */\t\n}\n\nhtml:-webkit-full-screen {\n\tbackground-color: <<colour page-background>>;\n}\n\nbody.tc-body {\n\tfont-size: {{$:/themes/inmysocks/mobile/metrics/fontsize}};\n\tline-height: {{$:/themes/inmysocks/mobile/metrics/lineheight}};\n\tcolor: <<colour foreground>>;\n\tbackground-color: <<colour page-background>>;\n\tword-wrap: break-word;\n}\n\nh1, h2, h3, h4, h5, h6 {\n\tline-height: 1.2;\n\tfont-weight: 300;\n}\n\npre {\n\tdisplay: block;\n\tpadding: 14px;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\tword-break: normal;\n\tword-wrap: break-word;\n\twhite-space: pre;\n\twhite-space: pre-wrap;\n\tbackground-color: <<colour pre-background>>;\n\tborder: 1px solid <<colour pre-border>>;\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n}\n\ncode {\n\tcolor: <<colour code-foreground>>;\n\tbackground-color: <<colour code-background>>;\n\tborder: 1px solid <<colour code-border>>;\n    white-space: pre-wrap;\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n}\n\nblockquote {\n\tborder-left: 5px solid <<colour blockquote-bar>>;\n\tmargin-left: 25px;\n\tpadding-left: 10px;\n}\n\ndl dt {\n\tfont-weight: bold;\n\tmargin-top: 6px;\n}\n\n.tc-muted {\n\tcolor: <<colour muted-foreground>>;\n}\n\n/*\nMarkdown likes putting code elements inside pre elements\n*/\npre > code {\n\tpadding: 0;\n\tborder: none;\n\tbackground-color: inherit;\n\tcolor: inherit;\n}\n\ntable {\n\tborder: 1px solid <<colour table-border>>;\n\twidth: auto;\n\tmax-width: 100%;\n\tcaption-side: bottom;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n}\n\ntable th, table td {\n\tpadding: 0 7px 0 7px;\n\tborder-top: 1px solid <<colour table-border>>;\n\tborder-left: 1px solid <<colour table-border>>;\n}\n\ntable thead tr td, table th {\n\tbackground-color: <<colour table-header-background>>;\n\tfont-weight: bold;\n}\n\ntable tfoot tr td {\n\tbackground-color: <<colour table-footer-background>>;\n}\n\n.tc-csv-table {\n\twhite-space: nowrap;\n}\n\n.tc-tiddler-frame img,\n.tc-tiddler-frame svg,\n.tc-tiddler-frame canvas,\n.tc-tiddler-frame embed,\n.tc-tiddler-frame iframe {\n\tmax-width: 100%;\n}\n\n.tc-tiddler-body > embed,\n.tc-tiddler-body > iframe {\n\twidth: 100%;\n\theight: 600px;\n}\n\n/*\n** Links\n*/\n\nbutton.tc-tiddlylink,\na.tc-tiddlylink {\n\ttext-decoration: none;\n\tfont-weight: normal;\n\tcolor: <<colour tiddler-link-foreground>>;\n\t-webkit-user-select: inherit; /* Otherwise the draggable attribute makes links impossible to select */\n}\n\n.tc-sidebar-lists a.tc-tiddlylink {\n\tcolor: <<colour sidebar-tiddler-link-foreground>>;\n}\n\n.tc-sidebar-lists a.tc-tiddlylink:hover {\n\tcolor: <<colour sidebar-tiddler-link-foreground-hover>>;\n}\n\nbutton.tc-tiddlylink:hover,\na.tc-tiddlylink:hover {\n\ttext-decoration: underline;\n}\n\na.tc-tiddlylink-resolves {\n}\n\na.tc-tiddlylink-shadow {\n\tfont-weight: bold;\n}\n\na.tc-tiddlylink-shadow.tc-tiddlylink-resolves {\n\tfont-weight: normal;\n}\n\na.tc-tiddlylink-missing {\n\tfont-style: italic;\n}\n\na.tc-tiddlylink-external {\n\ttext-decoration: underline;\n\tcolor: <<colour external-link-foreground>>;\n\tbackground-color: <<colour external-link-background>>;\n}\n\na.tc-tiddlylink-external:visited {\n\tcolor: <<colour external-link-foreground-visited>>;\n\tbackground-color: <<colour external-link-background-visited>>;\n}\n\na.tc-tiddlylink-external:hover {\n\tcolor: <<colour external-link-foreground-hover>>;\n\tbackground-color: <<colour external-link-background-hover>>;\n}\n\n/*\n** Drag and drop styles\n*/\n\n.tc-tiddler-dragger {\n\tposition: relative;\n\tz-index: -10000;\n}\n\n.tc-tiddler-dragger-inner {\n\tposition: absolute;\n\tdisplay: inline-block;\n\tpadding: 8px 20px;\n\tfont-size: 16.9px;\n\tfont-weight: bold;\n\tline-height: 20px;\n\tcolor: <<colour dragger-foreground>>;\n\ttext-shadow: 0 1px 0 rgba(0, 0, 0, 1);\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour dragger-background>>;\n\tborder-radius: 20px;\n}\n\n.tc-tiddler-dragger-cover {\n\tposition: absolute;\n\tbackground-color: <<colour page-background>>;\n}\n\n.tc-dropzone {\n\tposition: relative;\n}\n\n.tc-dropzone.tc-dragover:before {\n\tz-index: 10000;\n\tdisplay: block;\n\tposition: absolute;\n\tposition: -webkit-sticky;\n\tposition: -moz-sticky;\n\tposition: -o-sticky;\n\tposition: -ms-sticky;\n\tposition: sticky;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour dropzone-background>>;\n\ttext-align: center;\n\tcontent: \"<<lingo DropMessage>>\";\n}\n\n/*\n** Buttons\n*/\n\nbutton svg, button img {\n\tvertical-align: middle;\n}\n\n.tc-btn-invisible {\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n}\n\n.tc-btn-icon svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-text {\n\tpadding: 0;\n\tmargin: 0;\n}\n\n.tc-btn-big-green {\n\tpadding: 8px;\n\tmargin: 4px 8px 4px 8px;\n\tbackground: <<colour download-background>>;\n\tcolor: <<colour download-foreground>>;\n\tfill: <<colour download-foreground>>;\n\tborder: none;\n\tfont-size: 1.2em;\n\tline-height: 1.4em;\n}\n\n.tc-sidebar-lists input {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-sidebar-lists button {\n\tcolor: <<colour sidebar-button-foreground>>;\n\tfill: <<colour sidebar-button-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini {\n\tcolor: <<colour sidebar-muted-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini:hover {\n\tcolor: <<colour sidebar-muted-foreground-hover>>;\n}\n\nbutton svg.tc-image-button, button .tc-image-button img {\n\theight: 1em;\n\twidth: 1em;\n}\n\n/*\n** Tags and missing tiddlers\n*/\n\n.tc-tag-list-item {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin-right: 7px;\n}\n\n.tc-tags-wrapper {\n\tmargin: 4px 0 14px 0;\n}\n\n.tc-missing-tiddler-label {\n\tfont-style: italic;\n\tfont-weight: normal;\n\tdisplay: inline-block;\n\tfont-size: 11.844px;\n\tline-height: 14px;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n}\n\nbutton.tc-tag-label, span.tc-tag-label {\n\tdisplay: inline-block;\n\tpadding: 0.16em 0.7em;\n\tfont-size: 0.9em;\n\tfont-weight: 300;\n\tline-height: 1.2em;\n\tcolor: <<colour tag-foreground>>;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour tag-background>>;\n\tborder-radius: 1em;\n}\n\n.tc-untagged-separator {\n\twidth: 10em;\n\tleft: 0;\n\tmargin-left: 0;\n\tborder: 0;\n\theight: 1px;\n\tbackground: <<colour tab-divider>>;\n}\n\nbutton.tc-untagged-label {\n\tbackground-color: <<colour untagged-background>>;\n}\n\n.tc-tag-label svg, .tc-tag-label img {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour tag-foreground>>;\n}\n\n.tc-tag-manager-table .tc-tag-label {\n\twhite-space: normal;\n}\n\n.tc-tag-manager-tag {\n\twidth: 100%;\n}\n\n/*\n** Page layout\n*/\n\n.tc-topbar {\n\tposition: fixed;\n\tz-index: 1200;\n}\n\n.tc-topbar-left {\n\tleft: 29px;\n\ttop: 5px;\n}\n\n.tc-topbar-right {\n\ttop: 5px;\n\tright: 29px;\n}\n\n.tc-topbar button {\n\tpadding: 8px;\n}\n\n.tc-topbar svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-topbar button:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-sidebar-header {\n\tcolor: <<colour sidebar-foreground>>;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-sidebar-header .tc-title a.tc-tiddlylink-resolves {\n\tfont-weight: 300;\n}\n\n.tc-sidebar-header .tc-sidebar-lists p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-sidebar-header .tc-missing-tiddler-label {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-advanced-search input {\n\twidth: 60%;\n}\n\n.tc-search a svg {\n\twidth: 1.2em;\n\theight: 1.2em;\n\tvertical-align: middle;\n}\n\n.tc-search-results {\n\tpadding-top: 14px;\n}\n\n.tc-page-controls {\n\tmargin-top: 14px;\n\tfont-size: 1.5em;\n}\n\n.tc-page-controls button {\n\tmargin-right: 0.5em;\n}\n\n.tc-page-controls a.tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-page-controls img {\n\twidth: 1em;\n}\n\n.tc-page-controls svg,\n.tc-search svg {\n\tfill: <<colour sidebar-controls-foreground>>;\n}\n\n.tc-page-controls button:hover svg, .tc-page-controls a:hover svg,\n.tc-search button:hover svg, .tc-search a:hover svg {\n\tfill: <<colour sidebar-controls-foreground-hover>>;\n}\n\n.tc-menu-list-item {\n\twhite-space: nowrap;\n}\n\n.tc-menu-list-count {\n\tfont-weight: bold;\n}\n\n.tc-menu-list-subitem {\n\tpadding-left: 7px;\n}\n\n.tc-story-river {\n\tposition: relative;\n}\n\n.tc-sidebar-header {\n\tpadding: 14px;\n\tmin-height: 32px;\n\tmargin-top: {{$:/themes/inmysocks/mobile/metrics/storytop}};\n}\n\n.tc-story-river {\n\tposition: relative;\n\tpadding: 0;\n}\n\n@media print {\n\n\tbody.tc-body {\n\t\tbackground-color: transparent;\n\t}\n\n\t.tc-sidebar-header, .tc-topbar {\n\t\tdisplay: none;\n\t}\n\n\t.tc-story-river {\n\t\tmargin: 0;\n\t\tpadding: 0;\n\t}\n\n\t.tc-story-river .tc-tiddler-frame {\n\t\tmargin: 0;\n\t\tborder: none;\n\t\tpadding: 28px;\n\t}\n}\n\n/*\n** Tiddler styles\n*/\n\n.tc-tiddler-frame {\n\tmargin-bottom: 28px;\n\tbackground-color: <<colour tiddler-background>>;\n\tborder: 1px solid <<colour tiddler-border>>;\n}\n\n.tc-tiddler-info {\n\tpadding: 14px 42px 14px 42px;\n\tbackground-color: <<colour tiddler-info-background>>;\n\tborder-top: 1px solid <<colour tiddler-info-border>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-border>>;\n}\n\n.tc-tiddler-info p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-tiddler-info .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour tiddler-info-tab-background>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-tab-background>>;\n}\n\n.tc-view-field-table {\n\twidth: 100%;\n}\n\n.tc-view-field-name {\n\twidth: 1%; /* Makes this column be as narrow as possible */\n\ttext-align: right;\n\tfont-style: italic;\n\tfont-weight: 200;\n}\n\n.tc-view-field-value {\n}\n\n.tc-tiddler-frame {\n\tpadding: 14px 14px 14px 14px;\n}\n\n.tc-tiddler-info {\n\tmargin: 0 -42px 0 -42px;\n\t<!--margin: 0 -14px 0 -14px;-->\n}\n\n.tc-site-title,\n.tc-titlebar {\n\tfont-weight: 300;\n\tfont-size: 2.35em;\n\tline-height: 1.2em;\n\tcolor: <<colour tiddler-title-foreground>>;\n\tmargin: 0;\n}\n\n.tc-tiddler-title-icon {\n\tvertical-align: middle;\n}\n\n.tc-system-title-prefix {\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-titlebar h2 {\n\tfont-size: 1em;\n\tdisplay: inline;\n}\n\n.tc-titlebar img {\n\theight: 1em;\n}\n\n.tc-subtitle {\n\tfont-size: 0.9em;\n\tcolor: <<colour tiddler-subtitle-foreground>>;\n\tfont-weight: 300;\n}\n\n.tc-tiddler-missing .tc-title {\n  font-style: italic;\n  font-weight: normal;\n}\n\n.tc-tiddler-frame .tc-tiddler-controls {\n\tfloat: right;\n}\n\n.tc-tiddler-controls .tc-drop-down {\n\tfont-size: 0.6em;\n}\n\n.tc-tiddler-controls .tc-drop-down .tc-drop-down {\n\tfont-size: 1em;\n}\n\n.tc-tiddler-controls > span > button {\n\tvertical-align: baseline;\n\tmargin-left:5px;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img {\n\theight: 0.75em;\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-tiddler-controls button.tc-selected svg {\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n}\n\n.tc-tiddler-controls button.tc-btn-invisible:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n@media print {\n\t.tc-tiddler-controls {\n\t\tdisplay: none;\n\t}\n}\n\n.tc-tiddler-help { /* Help prompts within tiddler template */\n\tcolor: <<colour muted-foreground>>;\n\tmargin-top: 14px;\n}\n\n.tc-tiddler-help a.tc-tiddlylink {\n\tcolor: <<colour very-muted-foreground>>;\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor, .tc-tiddler-frame textarea.tc-edit-texteditor {\n\twidth: 100%;\n\tpadding: 3px 3px 3px 3px;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tline-height: 1.3em;\n\t-webkit-appearance: none;\n\tmargin: 4px 0 4px 0;\n}\n\n.tc-tiddler-frame .tc-binary-warning {\n\twidth: 100%;\n\theight: 5em;\n\ttext-align: center;\n\tpadding: 3em 3em 6em 3em;\n\tbackground: <<colour alert-background>>;\n\tborder: 1px solid <<colour alert-border>>;\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor {\n\tbackground-color: <<colour tiddler-editor-background>>;\n}\n\ncanvas.tc-edit-bitmapeditor  {\n\tborder: 6px solid <<colour tiddler-editor-border-image>>;\n\tcursor: crosshair;\n\t-moz-user-select: none;\n\t-webkit-user-select: none;\n\t-ms-user-select: none;\n\tmargin-top: 6px;\n\tmargin-bottom: 6px;\n}\n\n.tc-edit-bitmapeditor-width {\n\tdisplay: block;\n}\n\n.tc-edit-bitmapeditor-height {\n\tdisplay: block;\n}\n\n.tc-tiddler-frame .tc-tiddler-body {\n\tfont-size: {{$:/themes/inmysocks/mobile/metrics/bodyfontsize}};\n\tline-height: {{$:/themes/inmysocks/mobile/metrics/bodylineheight}};\n}\n\n.tc-titlebar, .tc-tiddler-edit-title {\n\toverflow: hidden; /* https://github.com/Jermolene/TiddlyWiki5/issues/282 */\n}\n\n/*\n** Toolbar buttons\n*/\n\n.tc-page-controls svg.tc-image-new-button {\n  fill: <<colour toolbar-new-button>>;\n}\n\n.tc-page-controls svg.tc-image-options-button {\n  fill: <<colour toolbar-options-button>>;\n}\n\n.tc-page-controls svg.tc-image-save-button {\n  fill: <<colour toolbar-save-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-info-button {\n  fill: <<colour toolbar-info-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-edit-button {\n  fill: <<colour toolbar-edit-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-close-button {\n  fill: <<colour toolbar-close-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-delete-button {\n  fill: <<colour toolbar-delete-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-cancel-button {\n  fill: <<colour toolbar-cancel-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-done-button {\n  fill: <<colour toolbar-done-button>>;\n}\n\n/*\n** Tiddler edit mode\n*/\n\n.tc-tiddler-edit-frame em.tc-edit {\n\tcolor: <<colour muted-foreground>>;\n\tfont-style: normal;\n}\n\n.tc-edit-type-dropdown a.tc-tiddlylink-missing {\n\tfont-style: normal;\n}\n\n.tc-edit-tags {\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tpadding: 4px 8px 4px 8px;\n}\n\n.tc-edit-add-tag {\n\tdisplay: inline-block;\n}\n\n.tc-edit-add-tag .tc-add-tag-name input {\n\twidth: 50%;\n}\n\n.tc-edit-tags .tc-tag-label {\n\tdisplay: inline-block;\n}\n\n.tc-edit-tags-list {\n\tmargin: 14px 0 14px 0;\n}\n\n.tc-remove-tag-button {\n\tpadding-left: 4px;\n}\n\n.tc-tiddler-preview {\n\toverflow: auto;\n}\n\n.tc-tiddler-preview-preview {\n\tfloat: right;\n\twidth: 48%;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tmargin: 4px 3px 3px 3px;\n\tpadding: 3px 3px 3px 3px;\n}\n\n.tc-tiddler-preview-edit {\n\twidth: 48%;\n}\n\n.tc-edit-fields {\n\twidth: 100%;\n}\n\n\n.tc-edit-fields table, .tc-edit-fields tr, .tc-edit-fields td {\n\tborder: none;\n\tpadding: 4px;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(odd) {\n\tbackground-color: <<colour tiddler-editor-fields-odd>>;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(even) {\n\tbackground-color: <<colour tiddler-editor-fields-even>>;\n}\n\n.tc-edit-field-name {\n\ttext-align: right;\n}\n\n.tc-edit-field-value input {\n\twidth: 100%;\n}\n\n.tc-edit-field-remove {\n}\n\n.tc-edit-field-remove svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n\tvertical-align: middle;\n}\n\n.tc-edit-field-add-name {\n\tdisplay: inline-block;\n\twidth: 15%;\n}\n\n.tc-edit-field-add-value {\n\tdisplay: inline-block;\n\twidth: 40%;\n}\n\n.tc-edit-field-add-button {\n\tdisplay: inline-block;\n\twidth: 10%;\n}\n\n/*\n** Storyview Classes\n*/\n\n.tc-storyview-zoomin-tiddler {\n\tposition: absolute;\n\tdisplay: block;\n\twidth: 100%;\n\twidth: calc(100% - 84px);\n}\n\n/*\n** Dropdowns\n*/\n\n.tc-btn-dropdown {\n\ttext-align: left;\n}\n\n.tc-btn-dropdown svg, .tc-btn-dropdown img {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-drop-down-wrapper {\n\tposition: relative;\n}\n\n.tc-drop-down {\n\tmin-width: 380px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\ttext-shadow: none;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-drop-down {\n\tmargin-left: 14px;\n}\n\n.tc-drop-down button svg, .tc-drop-down a svg  {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down button.tc-btn-invisible:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down p {\n\tpadding: 0 14px 0 14px;\n}\n\n.tc-drop-down svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-drop-down img {\n\twidth: 1em;\n}\n\n.tc-drop-down-language-chooser img {\n\twidth: 2em;\n\tvertical-align: baseline;\n}\n\n.tc-drop-down a, .tc-drop-down button {\n\tdisplay: block;\n\tpadding: 0 14px 0 14px;\n\twidth: 100%;\n\ttext-align: left;\n\tcolor: <<colour foreground>>;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-file-input-wrapper {\n\twidth: 100%;\n}\n\n.tc-drop-down .tc-file-input-wrapper button {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-drop-down a:hover, .tc-drop-down button:hover, .tc-drop-down .tc-file-input-wrapper:hover button {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-tab-buttons button {\n\tbackground-color: <<colour dropdown-tab-background>>;\n}\n\n.tc-drop-down .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour dropdown-tab-background-selected>>;\n\tborder-bottom: 1px solid <<colour dropdown-tab-background-selected>>;\n}\n\n.tc-drop-down-bullet {\n\tdisplay: inline-block;\n\twidth: 0.5em;\n}\n\n.tc-drop-down .tc-tab-contents a {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-block-dropdown-wrapper {\n\tposition: relative;\n}\n\n.tc-block-dropdown {\n\tposition: absolute;\n\tmin-width: 220px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\tz-index: 1000;\n}\n\n.tc-block-dropdown a {\n\tdisplay: block;\n\tpadding: 4px 14px 4px 14px;\n}\n\n.tc-drop-down .tc-dropdown-item,\n.tc-block-dropdown .tc-dropdown-item {\n\tpadding: 4px 14px 4px 7px;\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-block-dropdown a:hover {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n/*\n** Modals\n*/\n\n.tc-modal-wrapper {\n\tposition: fixed;\n\toverflow: auto;\n\toverflow-y: scroll;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n}\n\n.tc-modal-backdrop {\n\tposition: fixed;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 1000;\n\tbackground-color: <<colour modal-backdrop>>;\n}\n\n.tc-modal {\n\tz-index: 1100;\n\tbackground-color: <<colour modal-background>>;\n\tborder: 1px solid <<colour modal-border>>;\n}\n\n@media (max-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 1em;\n\t\tleft: 1em;\n\t\tright: 1em;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t}\n}\n\n@media (min-width: 55em) {\n\t.tc-modal {\n\t\tposition: relative;\n\t\twidth: 50%;\n\t\tmargin: 30px auto;\n\t}\n}\n\n.tc-modal-header {\n\tpadding: 9px 15px;\n\tborder-bottom: 1px solid <<colour modal-header-border>>;\n}\n\n.tc-modal-header h3 {\n\tmargin: 0;\n\tline-height: 30px;\n}\n\n.tc-modal-body {\n\tpadding: 15px;\n}\n\n.tc-modal-footer {\n\tpadding: 14px 15px 15px;\n\tmargin-bottom: 0;\n\ttext-align: right;\n\tbackground-color: <<colour modal-footer-background>>;\n\tborder-top: 1px solid <<colour modal-footer-border>>;\n}\n\n/*\n** Notifications\n*/\n\n.tc-notification {\n\tposition: fixed;\n\ttop: 14px;\n\tright: 42px;\n\tz-index: 1300;\n\tmax-width: 280px;\n\tpadding: 0 14px 0 14px;\n\tbackground-color: <<colour notification-background>>;\n\tborder: 1px solid <<colour notification-border>>;\n}\n\n/*\n** Tabs\n*/\n\n.tc-tab-set.tc-vertical {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tab-buttons {\n\tfont-size: 0.85em;\n\tpadding-top: 1em;\n\tmargin-bottom: -2px;\n}\n\n.tc-tab-buttons.tc-vertical  {\n\tz-index: 100;\n\tdisplay: block;\n\tpadding-top: 14px;\n\tvertical-align: top;\n\ttext-align: right;\n\tmargin-bottom: inherit;\n\tmargin-right: -1px;\n\tmax-width: 33%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n}\n\n.tc-tab-buttons button.tc-tab-selected {\n\tcolor: <<colour tab-foreground-selected>>;\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-left: 1px solid <<colour tab-border-selected>>;\n\tborder-top: 1px solid <<colour tab-border-selected>>;\n\tborder-right: 1px solid <<colour tab-border-selected>>;\n}\n\n.tc-tab-buttons button {\n\tcolor: <<colour tab-foreground>>;\n\tpadding: 3px 5px 3px 5px;\n\tfont-weight: 300;\n\tborder: none;\n\tbackground: inherit;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-right: 1px solid <<colour tab-border>>;\n\tborder-top-left-radius: 2px;\n\tborder-top-right-radius: 2px;\n}\n\n.tc-tab-buttons.tc-vertical button {\n\tdisplay: block;\n\twidth: 100%;\n\tmargin-top: 3px;\n\ttext-align: right;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tborder-right: none;\n\tborder-top-left-radius: 2px;\n\tborder-bottom-left-radius: 2px;\n}\n\n.tc-tab-buttons.tc-vertical button.tc-tab-selected {\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-right: 1px solid <<colour tab-background-selected>>;\n}\n\n.tc-tab-divider {\n\tborder-top: 1px solid <<colour tab-divider>>;\n}\n\n.tc-tab-divider.tc-vertical  {\n\tdisplay: none;\n}\n\n.tc-tab-content {\n\tmargin-top: 14px;\n}\n\n.tc-tab-content.tc-vertical  {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-top: 0;\n\tpadding-left: 14px;\n\tborder-left: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 70%;\n\tflex: 1 0 70%;\n}\n\n.tc-sidebar-lists .tc-tab-buttons {\n\tmargin-bottom: -1px;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tcolor: <<colour sidebar-tab-foreground-selected>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border-selected>>;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button {\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tcolor: <<colour sidebar-tab-foreground>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border>>;\n}\n\n.tc-sidebar-lists .tc-tab-divider {\n\tborder-top: 1px solid <<colour sidebar-tab-divider>>;\n}\n\n.tc-more-sidebar .tc-tab-buttons button {\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tborder-top: none;\n\tborder-left: none;\n\tborder-bottom: none;\n\tborder-right: 1px solid #ccc;\n\tmargin-bottom: inherit;\n}\n\n.tc-more-sidebar .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tborder: none;\n}\n\n/*\n** Alerts\n*/\n\n.tc-alerts {\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tmax-width: 500px;\n\tz-index: 20000;\n}\n\n.tc-alert {\n\tposition: relative;\n\tmargin: 28px;\n\tpadding: 14px 14px 14px 14px;\n\tborder: 2px solid <<colour alert-border>>;\n\tbackground-color: <<colour alert-background>>;\n}\n\n.tc-alert-toolbar {\n\tposition: absolute;\n\ttop: 14px;\n\tright: 14px;\n}\n\n.tc-alert-toolbar svg {\n\tfill: <<colour alert-muted-foreground>>;\n}\n\n.tc-alert-subtitle {\n\tcolor: <<colour alert-muted-foreground>>;\n\tfont-weight: bold;\n}\n\n.tc-alert-highlight {\n\tcolor: <<colour alert-highlight>>;\t\n}\n\n.tc-static-alert {\n\tposition: relative;\n}\n\n.tc-static-alert-inner {\n\tpadding: 0 2px 2px 42px;\n\tcolor: <<colour static-alert-foreground>>;\n\tposition: absolute;\n}\n\n/*\n** Control panel\n*/\n\n.tc-control-panel td {\n\tpadding: 4px;\n}\n\n.tc-control-panel table, .tc-control-panel table input, .tc-control-panel table textarea {\n\twidth: 100%;\n}\n\n.tc-plugin-info {\n\tdisplay: block;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground-colour: <<colour background>>;\n\tmargin: 1em 0 1em 0;\n\tpadding: 8px;\n}\n\n.tc-plugin-info-disabled {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n\tbackground: repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n}\n\n.tc-plugin-info-disabled:hover {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n\tbackground: repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n}\n\na.tc-tiddlylink.tc-plugin-info:hover {\n\ttext-decoration: none;\n\tbackground-color: <<colour primary>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour foreground>>;\n}\n\na.tc-tiddlylink.tc-plugin-info:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-plugin-info-chunk {\n\tdisplay: inline-block;\n\tvertical-align: middle;\t\n}\n\na.tc-plugin-info img, a.tc-plugin-info svg {\n\twidth: 2em;\n\theight: 2em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-plugin-info-dropdown {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 1em 1em 1em 1em;\n\tmargin-top: -1em;\n}\n\n/*\n** Message boxes\n*/\n\n.tc-message-box {\n\tborder: 1px solid <<colour message-border>>;\n\tbackground: <<colour message-background>>;\n\tpadding: 0px 21px 0px 21px;\n\tfont-size: 12px;\n\tline-height: 18px;\n\tcolor: <<colour message-foreground>>;\n}\n\n/*\n** Pictures\n*/\n\n.tc-bordered-image {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 5px;\n\tmargin: 5px;\n}\n\n/*\n** Floats\n*/\n\n.tc-float-right {\n\tfloat: right;\n}\n\n/*\n** Chooser\n*/\n\n.tc-chooser {\n\tborder: 1px solid <<colour table-border>>;\n}\n\n.tc-chooser-item {\n\tborder: 8px;\n}\n\n.tc-chooser-item a.tc-tiddlylink {\n\tdisplay: block;\n\ttext-decoration: none;\n\tcolor: <<colour tiddler-link-foreground>>;\n\tbackground-color: <<colour tiddler-link-background>>;\n\tmargin: 4px;\n}\n\n.tc-chooser-item a.tc-tiddlylink:hover {\n\ttext-decoration: none;\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n}\n\n/*\n** Palette swatches\n*/\n\n.tc-swatches-horiz {\n}\n\n.tc-swatches-horiz .tc-swatch {\n\tdisplay: inline-block;\n}\n\n.tc-swatch {\n\twidth: 2em;\n\theight: 2em;\n\tmargin: 4px;\n\tborder: 1px solid #000;\n}\n\n/*\n** Table of contents\n*/\n\n.tc-sidebar-lists .tc-table-of-contents {\n\twhite-space: nowrap;\n}\n\n.tc-table-of-contents button {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents svg {\n\twidth: 0.7em;\n\theight: 0.7em;\n\tvertical-align: middle;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents ol {\n\tlist-style-type: none;\n\tpadding-left: 0;\n}\n\n.tc-table-of-contents ol ol {\n\tpadding-left: 1em;\n}\n\n.tc-table-of-contents li {\n\tfont-size: 1.0em;\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li a {\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li li {\n\tfont-size: 0.95em;\n\tfont-weight: normal;\n\tline-height: 1.4;\n}\n\n.tc-table-of-contents li li a {\n\tfont-weight: normal;\n}\n\n.tc-table-of-contents li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n\tline-height: 1.5;\n}\n\n.tc-table-of-contents li li li a {\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n}\n\n.tc-tabbed-table-of-contents {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents {\n\tz-index: 100;\n\tdisplay: inline-block;\n\tpadding-left: 1em;\n\tmax-width: 50%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n\tbackground: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a,\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tdisplay: block;\n\tpadding: 0.12em 1em 0.12em 0.25em;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a {\n\tborder-top: 1px solid <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-background>>;\n\tborder-bottom: 1px solid <<colour tab-background>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a:hover {\n\ttext-decoration: none;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour background>>;\n\tmargin-right: -1px;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a:hover {\n\ttext-decoration: none;\n}\n\n.tc-tabbed-table-of-contents .tc-tabbed-table-of-contents-content {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-left: 1.5em;\n\tpadding-right: 1.5em;\n\tborder: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 50%;\n\tflex: 1 0 50%;\n}\n\n/*\n** Dirty indicator\n*/\n\nbody.tc-dirty span.tc-dirty-indicator, body.tc-dirty span.tc-dirty-indicator svg {\n\tfill: <<colour dirty-indicator>>;\n\tcolor: <<colour dirty-indicator>>;\n}\n\n/*\n** File inputs\n*/\n\n.tc-file-input-wrapper {\n\tposition: relative;\n\toverflow: hidden;\n\tdisplay: inline-block;\n\tvertical-align: middle;\n}\n\n.tc-file-input-wrapper input[type=file] {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tfont-size: 999px;\n\tmax-width: 100%;\n\tmax-height: 100%;\n\tfilter: alpha(opacity=0);\n\topacity: 0;\n\toutline: none;\n\tbackground: white;\n\tcursor: pointer;\n\tdisplay: inline-block;\n}\n\n/*\n** Errors\n*/\n\n.tc-error {\n\tbackground: #f00;\n\tcolor: #fff;\n}\n\n/*\n** Things that were missing\n*/\n\n.tc-thumbnail-icon {\n    position: absolute;\n    top: 0px;\n    left: 0px;\n    right: 0px;\n    bottom: 0px;\n    display: flex;\n}\n\n.tc-thumbnail-image {\n    text-align: center;\n    overflow: hidden;\n    border-radius: 3px;\n}\n\n.tc-thumbnail-caption {\n    position: absolute;\n    background-color: #777;\n    color: #FFF;\n    text-align: center;\n    bottom: 0px;\n    width: 100%;\n    opacity: 0.9;\n    line-height: 1.4;\n    border-bottom-left-radius: 3px;\n    border-bottom-right-radius: 3px;\n}\n\n.tc-thumbnail-wrapper {\n    position: relative;\n    display: inline-block;\n    margin: 6px;\n    vertical-align: top;\n}\n\n.tc-message-box {\n\tmargin: 21px -21px 21px -21px;\n}\n\n.tc-image-button {\n    padding: 0px 1px 1px 0px;\n}\n\n.tc-btn-big-green svg, .tc-btn-big-green img {\n    height: 2em;\n    width: 2em;\n    vertical-align: middle;\n}"
        },
        "$:/themes/inmysocks/mobile/reset": {
            "title": "$:/themes/inmysocks/mobile/reset",
            "type": "text/plain",
            "text": "/*! normalize.css v3.0.0 | MIT License | git.io/normalize */\n\n/**\n * Taken Directly from $:/themes/tiddlywiki/vanilla/reset \n * 1. Set default font family to sans-serif.\n * 2. Prevent iOS text size adjust after orientation change, without disabling\n *    user zoom.\n */\n\nhtml {\n  font-family: sans-serif; /* 1 */\n  -ms-text-size-adjust: 100%; /* 2 */\n  -webkit-text-size-adjust: 100%; /* 2 */\n}\n\n/**\n * Remove default margin.\n */\n\nbody {\n  margin: 0;\n}\n\n/* HTML5 display definitions\n   ========================================================================== */\n\n/**\n * Correct `block` display not defined in IE 8/9.\n */\n\narticle,\naside,\ndetails,\nfigcaption,\nfigure,\nfooter,\nheader,\nhgroup,\nmain,\nnav,\nsection,\nsummary {\n  display: block;\n}\n\n/**\n * 1. Correct `inline-block` display not defined in IE 8/9.\n * 2. Normalize vertical alignment of `progress` in Chrome, Firefox, and Opera.\n */\n\naudio,\ncanvas,\nprogress,\nvideo {\n  display: inline-block; /* 1 */\n  vertical-align: baseline; /* 2 */\n}\n\n/**\n * Prevent modern browsers from displaying `audio` without controls.\n * Remove excess height in iOS 5 devices.\n */\n\naudio:not([controls]) {\n  display: none;\n  height: 0;\n}\n\n/**\n * Address `[hidden]` styling not present in IE 8/9.\n * Hide the `template` element in IE, Safari, and Firefox < 22.\n */\n\n[hidden],\ntemplate {\n  display: none;\n}\n\n/* Links\n   ========================================================================== */\n\n/**\n * Remove the gray background color from active links in IE 10.\n */\n\na {\n  background: transparent;\n}\n\n/**\n * Improve readability when focused and also mouse hovered in all browsers.\n */\n\na:active,\na:hover {\n  outline: 0;\n}\n\n/* Text-level semantics\n   ========================================================================== */\n\n/**\n * Address styling not present in IE 8/9, Safari 5, and Chrome.\n */\n\nabbr[title] {\n  border-bottom: 1px dotted;\n}\n\n/**\n * Address style set to `bolder` in Firefox 4+, Safari 5, and Chrome.\n */\n\nb,\nstrong {\n  font-weight: bold;\n}\n\n/**\n * Address styling not present in Safari 5 and Chrome.\n */\n\ndfn {\n  font-style: italic;\n}\n\n/**\n * Address variable `h1` font-size and margin within `section` and `article`\n * contexts in Firefox 4+, Safari 5, and Chrome.\n */\n\nh1 {\n  font-size: 2em;\n  margin: 0.67em 0;\n}\n\n/**\n * Address styling not present in IE 8/9.\n */\n\nmark {\n  background: #ff0;\n  color: #000;\n}\n\n/**\n * Address inconsistent and variable font size in all browsers.\n */\n\nsmall {\n  font-size: 80%;\n}\n\n/**\n * Prevent `sub` and `sup` affecting `line-height` in all browsers.\n */\n\nsub,\nsup {\n  font-size: 75%;\n  line-height: 0;\n  position: relative;\n  vertical-align: baseline;\n}\n\nsup {\n  top: -0.5em;\n}\n\nsub {\n  bottom: -0.25em;\n}\n\n/* Embedded content\n   ========================================================================== */\n\n/**\n * Remove border when inside `a` element in IE 8/9.\n */\n\nimg {\n  border: 0;\n}\n\n/**\n * Correct overflow displayed oddly in IE 9.\n */\n\nsvg:not(:root) {\n  overflow: hidden;\n}\n\n/* Grouping content\n   ========================================================================== */\n\n/**\n * Address margin not present in IE 8/9 and Safari 5.\n */\n\nfigure {\n  margin: 1em 40px;\n}\n\n/**\n * Address differences between Firefox and other browsers.\n */\n\nhr {\n  -moz-box-sizing: content-box;\n  box-sizing: content-box;\n  height: 0;\n}\n\n/**\n * Contain overflow in all browsers.\n */\n\npre {\n  overflow: auto;\n}\n\n/**\n * Address odd `em`-unit font size rendering in all browsers.\n */\n\ncode,\nkbd,\npre,\nsamp {\n  font-family: monospace, monospace;\n  font-size: 1em;\n}\n\n/* Forms\n   ========================================================================== */\n\n/**\n * Known limitation: by default, Chrome and Safari on OS X allow very limited\n * styling of `select`, unless a `border` property is set.\n */\n\n/**\n * 1. Correct color not being inherited.\n *    Known issue: affects color of disabled elements.\n * 2. Correct font properties not being inherited.\n * 3. Address margins set differently in Firefox 4+, Safari 5, and Chrome.\n */\n\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n  color: inherit; /* 1 */\n  font: inherit; /* 2 */\n  margin: 0; /* 3 */\n}\n\n/**\n * Address `overflow` set to `hidden` in IE 8/9/10.\n */\n\nbutton {\n  overflow: visible;\n}\n\n/**\n * Address inconsistent `text-transform` inheritance for `button` and `select`.\n * All other form control elements do not inherit `text-transform` values.\n * Correct `button` style inheritance in Firefox, IE 8+, and Opera\n * Correct `select` style inheritance in Firefox.\n */\n\nbutton,\nselect {\n  text-transform: none;\n}\n\n/**\n * 1. Avoid the WebKit bug in Android 4.0.* where (2) destroys native `audio`\n *    and `video` controls.\n * 2. Correct inability to style clickable `input` types in iOS.\n * 3. Improve usability and consistency of cursor style between image-type\n *    `input` and others.\n */\n\nbutton,\nhtml input[type=\"button\"], /* 1 */\ninput[type=\"reset\"],\ninput[type=\"submit\"] {\n  -webkit-appearance: button; /* 2 */\n  cursor: pointer; /* 3 */\n}\n\n/**\n * Re-set default cursor for disabled elements.\n */\n\nbutton[disabled],\nhtml input[disabled] {\n  cursor: default;\n}\n\n/**\n * Remove inner padding and border in Firefox 4+.\n */\n\nbutton::-moz-focus-inner,\ninput::-moz-focus-inner {\n  border: 0;\n  padding: 0;\n}\n\n/**\n * Address Firefox 4+ setting `line-height` on `input` using `!important` in\n * the UA stylesheet.\n */\n\ninput {\n  line-height: normal;\n}\n\n/**\n * It's recommended that you don't attempt to style these elements.\n * Firefox's implementation doesn't respect box-sizing, padding, or width.\n *\n * 1. Address box sizing set to `content-box` in IE 8/9/10.\n * 2. Remove excess padding in IE 8/9/10.\n */\n\ninput[type=\"checkbox\"],\ninput[type=\"radio\"] {\n  box-sizing: border-box; /* 1 */\n  padding: 0; /* 2 */\n}\n\n/**\n * Fix the cursor style for Chrome's increment/decrement buttons. For certain\n * `font-size` values of the `input`, it causes the cursor style of the\n * decrement button to change from `default` to `text`.\n */\n\ninput[type=\"number\"]::-webkit-inner-spin-button,\ninput[type=\"number\"]::-webkit-outer-spin-button {\n  height: auto;\n}\n\n/**\n * 1. Address `appearance` set to `searchfield` in Safari 5 and Chrome.\n * 2. Address `box-sizing` set to `border-box` in Safari 5 and Chrome\n *    (include `-moz` to future-proof).\n */\n\ninput[type=\"search\"] {\n  -webkit-appearance: textfield; /* 1 */\n  -moz-box-sizing: content-box;\n  -webkit-box-sizing: content-box; /* 2 */\n  box-sizing: content-box;\n}\n\n/**\n * Remove inner padding and search cancel button in Safari and Chrome on OS X.\n * Safari (but not Chrome) clips the cancel button when the search input has\n * padding (and `textfield` appearance).\n */\n\ninput[type=\"search\"]::-webkit-search-cancel-button,\ninput[type=\"search\"]::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\n\n/**\n * Define consistent border, margin, and padding.\n */\n\nfieldset {\n  border: 1px solid #c0c0c0;\n  margin: 0 2px;\n  padding: 0.35em 0.625em 0.75em;\n}\n\n/**\n * 1. Correct `color` not being inherited in IE 8/9.\n * 2. Remove padding so people aren't caught out if they zero out fieldsets.\n */\n\nlegend {\n  border: 0; /* 1 */\n  padding: 0; /* 2 */\n}\n\n/**\n * Remove default vertical scrollbar in IE 8/9.\n */\n\ntextarea {\n  overflow: auto;\n}\n\n/**\n * Don't inherit the `font-weight` (applied by a rule above).\n * NOTE: the default cannot safely be changed in Chrome and Safari on OS X.\n */\n\noptgroup {\n  font-weight: bold;\n}\n\n/* Tables\n   ========================================================================== */\n\n/**\n * Remove most spacing between table cells.\n */\n\ntable {\n  border-collapse: collapse;\n  border-spacing: 0;\n}\n\ntd,\nth {\n  padding: 0;\n}\n"
        },
        "$:/themes/inmysocks/mobile/Mobile Theme StyleSheet": {
            "tags": "$:/tags/Stylesheet",
            "title": "$:/themes/inmysocks/mobile/Mobile Theme StyleSheet",
            "text": "/* STORY-RIVER */\n\n.tc-tiddler-frame { width: 100%; }\n\n.tc-story-river { position: relative; left: 0px; top: 0px; width: auto; padding: 42px 42px 42px 42px; }\n\n/* LEFT MENU */\n\nhtml .tc-leftmenu {\n    display: block;\n    padding: {{$:/themes/inmysocks/mobile/icon_menu_settings!!top_bar_height}} 0px 0px 0px;\n    position: fixed;\n    left: {{$:/themes/inmysocks/mobile/icon_menu_settings!!left_menu_left_offset}};\n    top: {{$:/themes/inmysocks/mobile/icon_menu_settings!!left_menu_vertical_offset}};\n    width: {{$:/themes/inmysocks/mobile/icon_menu_settings!!left_menu_width}};\n    z-index: 999;\n    color:{{$:/themes/inmysocks/mobile/icon_menu_settings!!left_menu_text_color}};\n    font-size:{{$:/themes/inmysocks/mobile/icon_menu_settings!!left_menu_font_size}};\n}\n\n/* RIGHT MENU */\n\nhtml .tc-rightmenu {\n    display: block;\n    padding: {{$:/themes/inmysocks/mobile/icon_menu_settings!!top_bar_height}} 0px 0px 0px;\n    position: fixed;\n    right: {{$:/themes/inmysocks/mobile/icon_menu_settings!!right_menu_right_offset}};\n    top: {{$:/themes/inmysocks/mobile/icon_menu_settings!!right_menu_vertical_offset}};\n    width: {{$:/themes/inmysocks/mobile/icon_menu_settings!!right_menu_width}};\n    z-index: 998;\n    color:{{$:/themes/inmysocks/mobile/icon_menu_settings!!right_menu_text_color}};\n    font-size:{{$:/themes/inmysocks/mobile/icon_menu_settings!!right_menu_font_size}};\n    opacity: 1;\n}\n\n/* TOP BAR */\n\nhtml .tc-iconmenutopbar {\n    display:block;\n    width:100%;\n    position:fixed;\n    text-align:center;\n    line-width:100%;\n    left:0%;\n    top:0px;\n    background-color:{{$:/themes/inmysocks/mobile/icon_menu_settings!!top_bar_background_color}};\n    font-size:{{$:/themes/inmysocks/mobile/icon_menu_settings!!top_bar_text_size}};\n    border-bottom-style:{{$:/themes/inmysocks/mobile/icon_menu_settings!!top_bar_border}};\n    border-bottom-color:{{$:/themes/inmysocks/mobile/icon_menu_settings!!top_bar_border_color}};\n    height:{{$:/themes/inmysocks/mobile/icon_menu_settings!!top_bar_height}};\n    line-height:{{$:/themes/inmysocks/mobile/icon_menu_settings!!top_bar_height}};\n    overflow: hidden;\n    z-index: 970;\n} \n\nhtml .tc-topleftmenu {\n    display: block;\n    padding: 0px 0px 0px 0px;\n    position: absolute;\n    top: inherit;\n    z-index: 9199;\n    border-bottom-style: none;\n    color:{{$:/themes/inmysocks/mobile/icon_menu_settings!!top_left_menu_text_color}};\n    height: inherit;\n    overflow: inherit;\n    text-align: left;\n}\n\nhtml .tc-topcentermenu {\n    width: 100%;\n    text-align: center;\n    display: block;\n    padding: 0px 0px 0px 0px;\n    position: absolute;\n    top: inherit;\n    z-index: 999;\n    color:{{$:/themes/inmysocks/mobile/icon_menu_settings!!top_middle_menu_text_color}};\n    line-height: inherit;\n    height: inherit;\n    overflow: inherit;\n}\n\nhtml .tc-toprightmenu {\n    display: block;\n    padding: 0px 0px 0px 0px;\n    position: absolute;\n    top: inherit;\n    z-index: 999;\n    border-bottom-style: none;\n    color:{{$:/themes/inmysocks/mobile/icon_menu_settings!!top_right_menu_text_color}};\n    height: inherit;\n    overflow: inherit;\n    text-align: right;\n    right:0px;\n}\n\n/* BOTTOM BAR */\n\nhtml .tc-iconmenubottombar {\n    display:block;\n    width:100%;\n    position:fixed;\n    text-align:center;\n    line-width:100%;\n    left:0%;\n    bottom: 0px;\n    background-color:{{$:/themes/inmysocks/mobile/icon_menu_settings!!bottom_bar_background_color}};\n    font-size:{{$:/themes/inmysocks/mobile/icon_menu_settings!!bottom_bar_text_size}};\n    border-top-style:{{$:/themes/inmysocks/mobile/icon_menu_settings!!bottom_bar_border}};\n    border-top-color:{{$:/themes/inmysocks/mobile/icon_menu_settings!!bottom_bar_border_color}};\n    height:{{$:/themes/inmysocks/mobile/icon_menu_settings!!bottom_bar_height}};\n    line-height:{{$:/themes/inmysocks/mobile/icon_menu_settings!!bottom_bar_height}};\n    overflow: hidden;\n    z-index: 970;\n} \n\nhtml .tc-bottomrightmenu {\n    display: block;\n    padding: 0px 0px 0px 0px;\n    position: absolute;\n    bottom: inherit;\n    z-index: 99;\n    border-bottom-style: none;\n    color:{{$:/themes/inmysocks/mobile/icon_menu_settings!!bottom_right_menu_text_color}};\n    height: inherit;\n    overflow: inherit;\n    text-align: right;\n}\n\nhtml .tc-bottomcentermenu {\n    width: 100%;\n    text-align: center;\n    display: block;\n    padding: 0px 0px 0px 0px;\n    position: absolute;\n    z-index: 999;\n    color:{{$:/themes/inmysocks/mobile/icon_menu_settings!!bottom_middle_menu_text_color}};\n    line-height: inherit;\n    height: inherit;\n    overflow: inherit;\n}\n\nhtml .tc-bottomleftmenu {\n    display: block;\n    padding: 0px 0px 0px 0px;\n    position: absolute;\n    z-index: 9199;\n    border-top-style: none;\n    color:{{$:/themes/inmysocks/mobile/icon_menu_settings!!bottom_left_menu_text_color}};\n    height: inherit;\n    overflow: inherit;\n    text-align: left;\n}\n\n/* Popout Menus */\n\n.tc-scrollable-menu-default {\n    left:2em;\n\tbackground-color: white;\n\tpadding: 1em;\n    width:75vw;\n    max-width:700px;\n\theight: 98vh;\n    text-align:left;\n    position: fixed;\n    z-index: 999;\n}\n\n.tc-popup-menu-default {\n    left:2em;\n    top:1em;\n    background: white;\n    height: 98vh;\n    border:solid;\n    border-color:lightgrey;\n    border-width:1px;\n    width:75vw;\n    max-width:700px;\n    height:75vh;\n    text-align:left;\n    position: fixed;\n    z-index: 999;\n}\n\n.tc-popup-menu-block {\n    background: white;\n    border:solid;\n    border-color:lightgrey;\n    border-width:1px;\n    left:2em;\n    text-align:left;\n    position: fixed;\n    z-index: 999;\n}"
        },
        "$:/themes/inmysocks/mobile/shadows": {
            "tags": "$:/tags/Stylesheet",
            "title": "$:/themes/inmysocks/mobile/shadows",
            "text": "/* A slightly altered version of $:/themes/tiddlywiki/snowwhite/base to add shadows to tiddlers */\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n.tc-sidebar-header {\n\ttext-shadow: 0 1px 0 <<colour sidebar-foreground-shadow>>;\n}\n\n.tc-tiddler-info {\n\t<<box-shadow \"inset 1px 2px 3px rgba(0,0,0,0.1)\">>\n}\n\n@media screen {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow \"1px 1px 5px rgba(0, 0, 0, 0.3)\">>\n\t}\n}\n\n.tc-page-controls button svg, .tc-tiddler-controls button svg, .tc-topbar button svg {\n\t<<transition \"fill 150ms ease-in-out\">>\n}\n\n.tc-tiddler-controls button.tc-selected,\n.tc-page-controls button.tc-selected {\n\t<<filter \"drop-shadow(0px -1px 2px rgba(0,0,0,0.25))\">>\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-edit-tags {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-tiddler-frame .tc-edit-tags input.tc-edit-texteditor {\n\t<<box-shadow \"none\">>\n\tborder: none;\n\toutline: none;\n}\n\ncanvas.tc-edit-bitmapeditor  {\n\t<<box-shadow \"2px 2px 5px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-drop-down {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-block-dropdown {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-modal-displayed {\n\t<<filter \"blur(4px)\">>\n}\n\n.tc-modal {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n}\n\n.tc-modal-footer {\n\tborder-radius: 0 0 6px 6px;\n\t<<box-shadow \"inset 0 1px 0 #fff\">>;\n}\n\n\n.tc-alert {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.6)\">>\n}\n\n.tc-notification {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n\ttext-shadow: 0 1px 0 rgba(255,255,255, 0.8);\n}\n\n.tc-sidebar-lists .tc-tab-divider {\n\t<<background-linear-gradient \"left, rgb(216,216,216) 0%, rgb(236,236,236) 250px\">>\n}\n\n.tc-more-sidebar .tc-tab-buttons button {\n\t<<background-linear-gradient \"left, rgb(236,236,236) 0%, rgb(224,224,224) 100%\">>\n}\n\n.tc-more-sidebar .tc-tab-buttons button.tc-tab-selected {\n\t<<background-linear-gradient \"left, rgb(236,236,236) 0%, rgb(248,248,248) 100%\">>\n}\n\n.tc-message-box img {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n\n.tc-plugin-info {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n"
        },
        "$:/themes/inmysocks/mobile/themetweaks": {
            "caption": "Theme Tweaks",
            "tags": "$:/tags/ControlPanel/Appearance",
            "title": "$:/themes/inmysocks/mobile/themetweaks",
            "text": "\\define backgroundimage-dropdown()\n<div class=\"tc-drop-down-wrapper\">\n<$button popup=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$linkcatcher to=\"$:/themes/inmysocks/mobile/settings/backgroundimage\">\n<$link to=\"\">\n(none)\n</$link>\n<hr>\n<$list filter=\"[all[shadows+tiddlers]is[image]] -[type[application/pdf]] +[sort[title]]\">\n<$link to={{!!title}}>\n<$transclude/> <$view field=\"title\"/>\n</$link>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n</div>\n\\end\n\n\\define backgroundimageattachment-dropdown()\n<$select tiddler=\"$:/themes/inmysocks/mobile/settings/backgroundimageattachment\" default=\"scroll\">\n<option value=\"scroll\">Scroll with tiddlers</option>\n<option value=\"fixed\">Fixed to window</option>\n</$select>\n\\end\n\n\\define backgroundimagesize-dropdown()\n<$select tiddler=\"$:/themes/inmysocks/mobile/settings/backgroundimagesize\" default=\"scroll\">\n<option value=\"auto\">Auto</option>\n<option value=\"cover\">Cover</option>\n<option value=\"contain\">Contain</option>\n</$select>\n\\end\n\nYou can tweak certain aspects of the ''Mobile'' theme.\n\n! Options\n\n|[[Sticky titles|$:/themes/inmysocks/mobile/options/stickytitles]]<br>//Causes tiddler titles to \"stick\" to the top of the browser window. Caution: Does not work at all with Chrome, and causes some layout issues in Firefox// |<$select tiddler=\"$:/themes/inmysocks/mobile/options/stickytitles\"><option value=\"no\">No</option><option value=\"yes\">Yes</option></$select> |\n\n! Settings\n\n|[[Font family|$:/themes/inmysocks/mobile/settings/fontfamily]] |<$edit-text tiddler=\"$:/themes/inmysocks/mobile/settings/fontfamily\" default=\"\" tag=\"input\"/> | |\n|[[Code font family|$:/themes/inmysocks/mobile/settings/codefontfamily]] |<$edit-text tiddler=\"$:/themes/inmysocks/mobile/settings/codefontfamily\" default=\"\" tag=\"input\"/> | |\n|[[Page background image|$:/themes/inmysocks/mobile/settings/backgroundimage]] |<$edit-text tiddler=\"$:/themes/inmysocks/mobile/settings/backgroundimage\" default=\"\" tag=\"input\"/> |<<backgroundimage-dropdown>> |\n|[[Page background image attachment |$:/themes/inmysocks/mobile/settings/backgroundimageattachment]] |<<backgroundimageattachment-dropdown>> | |\n|[[Page background image size |$:/themes/inmysocks/mobile/settings/backgroundimagesize]] |<<backgroundimagesize-dropdown>> | |\n\n! Sizes\n\n|[[Font size|$:/themes/inmysocks/mobile/metrics/fontsize]] |<$edit-text tiddler=\"$:/themes/inmysocks/mobile/metrics/fontsize\" default=\"\" tag=\"input\"/> |\n|[[Line height|$:/themes/inmysocks/mobile/metrics/lineheight]] |<$edit-text tiddler=\"$:/themes/inmysocks/mobile/metrics/lineheight\" default=\"\" tag=\"input\"/> |\n|[[Font size for tiddler body|$:/themes/inmysocks/mobile/metrics/bodyfontsize]] |<$edit-text tiddler=\"$:/themes/inmysocks/mobile/metrics/bodyfontsize\" default=\"\" tag=\"input\"/> |\n|[[Line height for tiddler body|$:/themes/inmysocks/mobile/metrics/bodylineheight]] |<$edit-text tiddler=\"$:/themes/inmysocks/mobile/metrics/bodylineheight\" default=\"\" tag=\"input\"/> |\n\n<$transclude tiddler='$:/themes/inmysocks/mobile/Mobile Theme Settings' mode=block/>"
        }
    }
}

{
    "tiddlers": {
        "$:/themes/jd/Material/Stylesheet": {
            "created": "20180324031356243",
            "creator": "jd",
            "text": "\\define dur() 300ms\n\n<pre>\n\n/* TAB BUTTONS */\n\n.tc-tab-buttons button {\n    padding: 8px;\n}\n\n.tc-tab-buttons {\n    margin-bottom: -3px;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button,\n.tc-tab-buttons.tc-vertical button {\n    margin-bottom: -1px;\n    background-color: <<colour tab-background>>;\n    border-top: 1px solid <<colour tab-border>>;\n    border-right: 1px solid <<colour tab-border>>;\n    border-bottom: 1px solid <<colour tab-border>>;\n    border-left: 1px solid <<colour tab-border>>;\n}\n\ndiv.tc-tab-content.tc-vertical .tc-tab-buttons button {\n    margin-bottom: 0;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected,\n.tc-tab-buttons.tc-vertical button.tc-tab-selected {\n    background-color: <<colour tab-background-selected>>;\n    border-top: 1px solid <<colour tab-border-selected>>;\n    border-right: 1px solid <<colour tab-background-selected>>;\n    border-bottom: 1px solid <<colour tab-border-selected>>;\n    border-left: 1px solid <<colour tab-border-selected>>;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons,\n.tc-tab-buttons.tc-vertical {\n    margin-right: -0.5px;\n}\n\ndiv.tc-tab-content.tc-vertical .tc-tab-buttons {\n    margin-bottom: -1px;\n}\n\ndiv.tc-tab-content.tc-vertical .tc-tab-buttons button {\n    border-bottom: 1px solid <<colour tab-border>>;\n}\n\ndiv.tc-tab-content.tc-vertical .tc-tab-buttons button.tc-tab-selected {\n    border-bottom: 1px solid <<colour tab-background-selected>>;\n}\n\n.tc-tab-content.tc-vertical {\n    margin-left: 1px;\n    border-left: 1px solid <<colour tab-divider>>;\n}\n\n\n/* FAB BUTTONS */\n\n.FAB-wrapper {\n    position: fixed;\n    bottom: {{$:/themes/jd/Material/ConfigDB##fabxy}};\n    right: {{$:/themes/jd/Material/ConfigDB##fabxy}};\n    overflow: hidden;\n    z-index: 800;\n}\n\n.FABs-wrapper {\n    display: -webkit-box;\n    display: -ms-flexbox;\n    display: flex;\n    -webkit-box-orient: vertical;\n    -webkit-box-direction: reverse;\n        -ms-flex-direction: column-reverse;\n            flex-direction: column-reverse;\n}\n<$list filter=\"[[$:/plugins/tiddlywiki/hammerjs][$:/plugins/BurningTree/hammerwidgets]is[missing]]\">\n.FABs-wrapper {\n    opacity: 0;\n    height: {{$:/themes/jd/Material/ConfigDB##fabsize}};\n    position: fixed;\n    bottom: calc({{$:/themes/jd/Material/ConfigDB##fabxy}} + {{$:/themes/jd/Material/ConfigDB##fabsize}} + {{$:/themes/jd/Material/ConfigDB##fabmargin}} + {{$:/themes/jd/Material/ConfigDB##fabmargin}});\n    right: {{$:/themes/jd/Material/ConfigDB##fabxy}};\n    overflow: hidden;\n    z-index: 800;\n}\n.FABs-wrapper:hover {\n    opacity: 1;\n    height: auto;\n}\n</$list>\n\nbutton.FABitem {\n<$list filter=\"[{$:/palette}prefix[$:/themes/jd/Material/Palette/]]\">\n    background: <<colour button-background>>;\n    fill: <<colour button-foreground>>;\n</$list>\n<$list filter=\"[{$:/palette}!prefix[$:/themes/jd/Material/Palette/]]\">\n    background: <<colour primary>>;\n    fill: white;\n</$list>\n    margin: {{$:/themes/jd/Material/ConfigDB##fabmargin}};\n    height: {{$:/themes/jd/Material/ConfigDB##fabsize}};\n    width: {{$:/themes/jd/Material/ConfigDB##fabsize}};\n    font-size: {{$:/themes/jd/Material/ConfigDB##fabiconsize}};\n    display: -webkit-box;\n    display: -ms-flexbox;\n    display: flex;\n    -webkit-box-align: center;\n        -ms-flex-align: center;\n            align-items: center;\n    -webkit-box-pack: center;\n        -ms-flex-pack: center;\n            justify-content: center;\n    border-radius: 50%;\n    <<box-shadow \"0 1px 1.5px 0 rgba(0, 0, 0, 0.12), 0 1px 1px 0 rgba(0, 0, 0, 0.24)\">>\n    <<transition \"background $(dur)$, fill $(dur)$\">>\n}\n\n.FABitem svg.tc-image-button {\n    margin: 0;\n    padding: 0;\n}\n\nbutton.FABitem:hover {\n    background: <<colour tag-background>>;\n    fill: rgba(0, 0, 0, 0.87);\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n.FAB-wrapper .tc-drop-down,\n.FAB-wrapper .tc-block-dropdown,\n.FABs-wrapper .tc-drop-down,\n.FABs-wrapper .tc-block-dropdown {\n    position: fixed;\n    bottom: {{$:/themes/jd/Material/ConfigDB##fabxy}};\n    right: calc(20px + {{$:/themes/jd/Material/ConfigDB##fabxy}} + {{$:/themes/jd/Material/ConfigDB##fabsize}});\n    max-height: calc(100% - {{$:/themes/jd/Material/ConfigDB##fabxy}} - 56px - 42px);\n}\n}\n\n\n/* HEADER */\n\n.header-back {\n    background: <<colour primary>>;\n    <<box-shadow \"0 2px 4px -1px rgba(0, 0, 0, 0.2), 0 4px 5px 0 rgba(0, 0, 0, 0.14), 0 1px 10px 0 rgba(0, 0, 0, 0.12)\">>\n    z-index: 700;\n}\n\n.header-back,\n.header-wrapper {\n    position: fixed;\n    top: 0;\n    left: 0;\n    width: 100%;\n    height: 56px;\n}\n\n.header-wrapper {\n    z-index: 1000;\n}\n\n.header-type-wrapper {\n    width: 100%;\n    display: -webkit-box;\n    display: -ms-flexbox;\n    display: flex;\n    -webkit-box-flex: 0;\n        -ms-flex: 0 0 auto;\n            flex: 0 0 auto;\n    -webkit-box-pack: justify;\n        -ms-flex-pack: justify;\n            justify-content: space-between;\n    -webkit-box-align: center;\n        -ms-flex-align: center;\n            align-items: center;\n    line-height: 20px;\n}\n\n.header-type-wrapper .tc-btn-invisible {\n    display: -webkit-box;\n    display: -ms-flexbox;\n    display: flex;\n    -webkit-box-pack: start;\n        -ms-flex-pack: start;\n            justify-content: flex-start;\n    -webkit-box-align: center;\n        -ms-flex-align: center;\n            align-items: center;\n    font-size: 22px;\n    fill: white;\n    <<transition \"background $(dur)$, border-radius $(dur)$\">>\n}\n\n.header-type-wrapper .header-btn:hover {\n    background: rgba(0, 0, 0, 0.12);\n    border-radius: 50%;\n}\n\n.header-title {\n    font-size: 22px;\n    color: white;\n    display: -webkit-box;\n    display: -ms-flexbox;\n    display: flex;\n    -webkit-box-pack: start;\n        -ms-flex-pack: start;\n            justify-content: flex-start;\n    width: 100%;\n}\n\n.header-title .tc-tiddlylink { color: white; }\n\n\n/* SEARCHBAR */\n\n.jd-search-header { \n    width: 100%;\n    display: -webkit-box;\n    display: -ms-flexbox;\n    display: flex;\n    -webkit-box-flex: 0;\n        -ms-flex: 0 0 auto;\n            flex: 0 0 auto;\n    -webkit-box-pack: center;\n        -ms-flex-pack: center;\n            justify-content: center;\n}\n\n.jd-search-bar input { \n    width:100%;\n    border: 0;\n    border-bottom: 1px solid white;\n    color: white;\n    background: transparent;\n}\n\n.jd-search-header ::placeholder { color: rgba(255, 255, 255, 0.7); }\n\n.jd-search-bar { flex: 1 }\n\n.jd-search-buttons {\n    display: -webkit-box;\n    display: -ms-flexbox;\n    display: flex; \n    -webkit-box-align: center; \n        -ms-flex-align: center; \n            align-items: center;\n    -webkit-box-orient: horizontal;\n    -webkit-box-direction: normal;\n        -ms-flex-direction: row;\n            flex-direction: row;\n}\n\n.jd-search-buttons button { margin-left: 10px; fill: black; }\n\n\n/* LISTS */\n\n.tc-more-sidebar { width: 100%; }\n\n.tc-drop-down button { display: block; }\n\n\n\n/* BODY WRAPPER */\n\ndiv.tc-tab-set.jd-lists-body {\n    min-height: calc(100vh - 56px);\n    max-height: calc(100vh - 56px);\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\ndiv.tc-tab-set.jd-lists-body {\n    <<box-shadow \"0 3px 4px -1px rgba(0, 0, 0, 0.2), 0 5px 5px 0 rgba(0, 0, 0, 0.14), 0 5px 10px 0 rgba(0, 0, 0, 0.12)\">>\n}\n\ndiv.jd-search-body {\n    left: 50%; \n    -webkit-transform: translateX(-50%); \n        -ms-transform: translateX(-50%); \n            transform: translateX(-50%);\n    width: 600px;\n    max-height: calc(100% - 156px);\n    <<box-shadow \"0 2px 2px 0 rgba(0, 0, 0, 0.14), 0 3px 1px -2px rgba(0, 0, 0, 0.2), 0 1px 5px 0 rgba(0, 0, 0, 0.12)\">>\n}\n\n.jd-search-bar, .jd-search-bar input { width:400px; }\n\n.jd-search-bar {\n    -webkit-box-flex: 0; \n    -ms-flex: 0; \n    flex: 0; \n}\n}\n\n\ndiv.tc-tab-set.jd-lists-body,\n.jd-search-body {\n    background: <<colour background>>;\n    display: -webkit-box;\n    display: -ms-flexbox;\n    display: flex;\n    -webkit-box-orient: vertical;\n    -webkit-box-direction: normal;\n    -ms-flex-direction: column;\n    flex-direction: column;\n    z-index: 800;\n}\n\n.jd-search-body {\n    position: fixed; \n    top: 56px; \n}\n\n.jd-search-body > .tc-tab-set {\n    display: flex;\n    flex-direction: column;\n}\n\n.jd-search-body > .tc-tab-set > .tc-tab-content {\n    padding: 0 16px 16px 16px;\n    margin: 0;\n    display: flex;\n    flex: 1 1 auto;\n    overflow: auto;\n}\n\n.jd-search-body > .tc-tab-set > .tc-tab-divider {\n    display: none;\n}\n\n.jd-search-body .tc-tab-set .tc-tab-content .tc-search { display: none; }\n\ndiv.tc-tab-content.jd-lists-body .tc-tab-content.tc-vertical {\n    margin-top: 0;\n}\n\ndiv.tc-tab-content.jd-lists-body .tc-tab-buttons.tc-vertical {\n    padding-top: 0;\n}\n\ndiv.tc-tab-content.jd-lists-body div,\ndiv.tc-tab-content.jd-lists-body li {\n    margin-bottom: 4px;\n}\n\ndiv.tc-tab-content.jd-lists-body .tc-tag-label {\n    margin: 4px 0;\n}\n\ndiv.tc-tab-content.jd-lists-body ul {\n    padding-left: 16px;\n    margin: 0;\n}\n\ndiv.tc-tab-content.jd-lists-body p {\n    -webkit-margin-before: 0;\n    -webkit-margin-after: 0;\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n.jd-search-body {\n    max-height: calc(100% - 56px);\n    <<box-shadow \"0 2px 4px -1px rgba(0, 0, 0, 0.2), 0 4px 5px 0 rgba(0, 0, 0, 0.14), 0 1px 10px 0 rgba(0, 0, 0, 0.12)\">>\n}\n.jd-search-body {\n    left: 0; \n    width: 100%;\n}\n}\n\ndiv.tc-tab-buttons.jd-lists-body,\n.jd-search-body .tc-tab-buttons {\n    display: -webkit-box;\n    display: -ms-flexbox;\n    display: flex;\n    -webkit-box-flex: 0;\n    -ms-flex: 0 0 auto;\n    flex: 0 0 auto;\n    width: 100%; \n    margin: 0;\n    padding: 0;\n    background: <<colour sidebar-tab-background>>; \n    overflow-x: auto;\n    overflow-y: hidden;\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n.jd-search-body .tc-tab-buttons,\ndiv.tc-tab-buttons.jd-lists-body {\n    <<box-shadow \"0 4px 4px -1px rgba(0, 0, 0, 0.2), 0 5px 5px 0 rgba(0, 0, 0, 0.1)\">>\n    z-index: 900;\n}\n}\n\ndiv.tc-tab-divider.jd-lists-body { display: none; }\n\ndiv.tc-tab-buttons.jd-lists-body .tc-tab-selected,\n.jd-search-body .tc-tab-buttons button.tc-tab-selected {\n    border-bottom: 2px solid <<colour sidebar-tab-border-selected>> !important;\n}\n\ndiv.tc-tab-buttons.jd-lists-body button,\n.jd-search-body .tc-tab-buttons button {\n    min-width: calc(100% / {{$:/themes/jd/Material/ConfigDB##headerbtns}});\n    max-width: calc(100% / {{$:/themes/jd/Material/ConfigDB##headerbtns}});\n    background: <<colour sidebar-tab-background>>;\n    color: <<colour sidebar-tab-foreground>>;\n    margin: 0;\n    border: 0;\n    border-bottom: 2px solid transparent;\n    padding: 8px 8px;\n    border-radius: 0;\n    white-space: nowrap; \n    overflow: hidden;\n    -o-text-overflow: ellipsis;\n    text-overflow: ellipsis;\n    font-size: {{$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize}};\n}\n\ndiv.tc-tab-buttons.jd-lists-body button.tc-tab-selected,\n.jd-search-body .tc-tab-buttons button.tc-tab-selected {\n    background: <<colour sidebar-tab-background-selected>>;\n    color: <<colour sidebar-tab-foreground-selected>>;\n    border-bottom: 2px solid <<colour sidebar-tab-border-selected>>;\n}\n\n.jd-search-body button.jd-search-btn {\n    min-width: 25%;\n    max-width: 25%;\n}\n\ndiv.tc-tab-content.jd-lists-body {\n    background: <<colour background>>;\n    padding: 16px;\n    margin: 0;\n    display: block;\n    -webkit-box-flex: 1;\n    -ms-flex: 1 1 auto;\n    flex: 1 1 auto;\n    overflow-y: auto;\n}\n\ndiv.tc-tab-content.jd-lists-body button { fill: <<colour button-foreground>> }\n\n<$reveal type=\"match\" state=\"$:/themes/jd/Material/ConfigDB##styledframes\" text=\"yes\">\n\n/* VIEW & EDIT FRAME */\n\n.tc-tiddler-edit-frame .tc-tiddler-title, \n.tc-tiddler-view-frame .tc-titlebar h2.tc-title {\n    font-size: {{$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize}}; \n}\n\n\n/* VIEW FRAME */\n\n.tc-tiddler-view-frame .tc-title {\n    font-weight: bold;\n}\n\n.tc-tiddler-view-frame .tc-tiddler-title-icon svg {\n    height: {{$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize}}; \n}\n\n.tc-tiddler-view-frame .tc-titlebar > span:nth-child(2),\nspan.tc-tiddler-title-icon {\n    display: -webkit-box;\n    display: -ms-flexbox;\n    display: flex;\n    -webkit-box-align: center;\n        -ms-flex-align: center;\n            align-items: center;\n    height: 1.4em;\n    white-space: normal;\n    word-break: break-all;\n}\n\n\n/* EDIT FRAME */\n\n.tc-tiddler-edit-frame .tc-tiddler-edit-title {\n    color: transparent;\n    line-height: 0;\n}\n\n.tc-tiddler-edit-frame .tc-message-box { margin: 0; }\n\n.tc-tiddler-edit-frame iframe.tc-edit-texteditor { margin-top: 0 !important; }\n\n.tc-tiddler-edit-frame .tc-editor-toolbar { background: <<colour tiddler-editor-border>>; }\n\n.tc-tiddler-edit-frame .tc-editor-toolbar .tc-btn-invisible  { background: transparent; }\n\n.tc-tiddler-edit-frame .tc-editor-toolbar .tc-btn-invisible:hover  {\n    background: transparent;\n    fill: <<colour primary>>;\n}\n\ninput::placeholder {\n   font-size: 0.9em; \n}\n\n.tc-tiddler-edit-frame input.tc-titlebar.tc-edit-texteditor, \n.tc-tiddler-edit-frame .tc-edit-tags, \n.tc-tiddler-edit-frame .tc-edit-field-add-name input.tc-edit-texteditor, \n.tc-tiddler-edit-frame .tc-edit-field-add-value input.tc-edit-texteditor, \n.tc-tiddler-edit-frame input.tc-edit-typeeditor.tc-popup-handle, \n.tc-tiddler-edit-frame input.tc-edit-texteditor.tc-popup-handle {\n    border: 1px solid <<colour background>>; \n    border-bottom: 1px solid <<colour tiddler-editor-border>>;\n    <<box-shadow \"none\">>\n} \n\n.tc-tiddler-edit-frame textarea { \n    border: 1px solid <<colour tiddler-editor-border>>;\n    <<box-shadow \"none\">>\n} \n\n.tc-tiddler-edit-frame input,\n.tc-tiddler-edit-frame textarea,\n.tc-tiddler-edit-frame iframe.tc-edit-texteditor {\n    font-size: {{$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize}};\n    font-family: {{$:/themes/tiddlywiki/vanilla/settings/fontfamily}};\n    border: 1px solid <<colour background>>; \n    <<box-shadow \"none\">>\n}\n\n.tc-tiddler-edit-frame input.tc-titlebar.tc-edit-texteditor {\n    font-weight: bold;\n}\n\n.tc-tiddler-edit-frame .tc-type-selector {\n    padding-bottom: 10px;\n    border-bottom: 1px solid <<colour tiddler-editor-border>>;\n}\n\n</$reveal>\n\n\n/* LIST ITEMS */\n\n.tc-menu-list-item {\n    padding-left: 5px;\n    text-indent: -5px;\n    white-space: normal;\n    word-wrap: break-word;\n    -webkit-word-break: break-all;\n    -moz-word-break: break-all;\n    -ms-word-break: break-all;\n    -o-word-break: break-all;\n    word-break: break-all;\n}\n\n\n/* POPUPS */\n\n.tc-drop-down,\n.tc-block-dropdown {\n    font-size: 18px;\n    line-height: 1.8;\n    font-weight: normal;\n    white-space: normal;\n    border-radius: 2px;\n    max-height: 400px;\n    min-width: 250px;\n    max-width: 300px;\n    overflow: auto;\n    <<box-shadow \"0 2px 2px 0 rgba(0, 0, 0, 0.14), 0 3px 1px -2px rgba(0, 0, 0, 0.2), 0 1px 5px 0 rgba(0, 0, 0, 0.12)\">>\n}\n\ndiv.header-type-wrapper.tc-reveal > div > div.tc-reveal > div.tc-reveal.tc-popup > div.tc-drop-down, \ndiv.header-type-wrapper.tc-reveal > div > div.tc-reveal > span.tc-reveal.tc-popup > div.tc-drop-down,\n.jd-search-buttons .tc-drop-down,\n.jd-search-buttons .tc-block-dropdown { position: absolute; right: 0; }\n\n.tc-drop-down .tc-btn-invisible,\n.tc-block-dropdown .tc-btn-invisible,\n.tc-drop-down a, .tc-drop-down button {\n    font-size: 18px;\n    line-height: 1.8;\n    font-weight: normal;\n    margin: 0;\n}\n\n.tc-drop-down a, .tc-drop-down button {\n    display: block !important;\n    text-align: left !important;\n}\n\n.tc-drop-down .tc-btn-invisible {\n    display: block !important;\n    text-align: left !important;\n    margin: 0 !important;\n}\n\n\n\n<$reveal state=\"$:/palette\" type=\"match\" text=\"$:/themes/jd/Material/Palette/MaterialLightBase\">\n\n.tc-drop-down button.tc-btn-invisible:hover,\n.tc-drop-down button.tc-btn-invisible:hover span.tc-dirty-indicator {\n    color: <<colour background>>;\n}\n\n.tc-drop-down button.tc-btn-invisible:hover svg,\n.tc-drop-down button.tc-btn-invisible:hover span.tc-dirty-indicator svg,\n.tc-file-input-wrapper:hover button svg {\n    fill: <<colour background>>;\n}\n\n</$reveal>\n\n<$reveal state=\"$:/palette\" type=\"match\" text=\"$:/themes/jd/Material/Palette/MaterialDarkBase\">\n\n.tc-drop-down button.tc-btn-invisible:hover,\n.tc-drop-down button.tc-btn-invisible:hover span.tc-dirty-indicator {\n    color: <<colour button-foreground>>;\n}\n\n.tc-drop-down button.tc-btn-invisible:hover svg,\n.tc-drop-down button.tc-btn-invisible:hover span.tc-dirty-indicator svg,\n.tc-file-input-wrapper:hover button svg {\n    fill: <<colour button-foreground>>;\n}\n\n</$reveal>\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n<$reveal type=\"nomatch\" state=\"$:/view\" text=\"zoomin\">\n<$reveal type=\"match\" state=\"$:/themes/jd/Material/ConfigDB##mobilepopups\" text=\"yes\">\n.tc-drop-down,\n.tc-block-dropdown {\n    position: fixed !important;\n    top: 48% !important;\n    left: {{$:/themes/jd/Material/ConfigDB##fabxy}} !important;\n    max-height: calc(100% - 200px);\n    min-width: calc(100% - {{$:/themes/jd/Material/ConfigDB##fabxy}}*2);\n    max-width: calc(100% - {{$:/themes/jd/Material/ConfigDB##fabxy}}*2);\n   -webkit-transform: translateY(-50%);\n   -moz-transform: translateY(-50%);\n   -ms-transform: translateY(-50%);\n   -o-transform: translateY(-50%);\n    transform: translateY(-50%);\n    text-align: left;\n    overflow: auto;\n    z-index: 1000;\n}\n</$reveal>\n</$reveal>\n\n.tc-tiddler-frame {\n    padding: 16px;\n    margin: 0;\n    <<box-shadow \"none\">>\n}\n\n.tc-story-river .tc-tiddler-frame:nth-last-child(2) {\n    border-bottom: 0;\n}\n\ninput:focus, textarea:focus, button:focus, select:focus { outline: 0; }\n\ninput:focus, textarea:focus {\n    outline: 0;\n    border-bottom: 1px solid <<colour tag-background>>; \n}\n\n}\n\n\n<$reveal type=\"match\" state=\"$:/themes/jd/Material/ConfigDB##outlinenone\" text=\"yes\">\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\ninput:focus, textarea:focus, button:focus, select:focus { outline: 0; }\n}\n</$reveal>\n\n\n/* STORY RIVER, TIDDLER FRAME */\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n.tc-story-river { padding: 42px; }\n<$reveal type=\"nomatch\" state=\"$:/state/sidebar\" text=\"no\" default={{$:/themes/jd/Material/ConfigDB##listsdefon}}>\n.tc-story-river { padding-left: calc({{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}} + 42px); }\n</$reveal>\n<$reveal type=\"match\" state=\"$:/view\" text=\"zoomin\">\n<$reveal type=\"match\" state=\"$:/state/sidebar\" text=\"no\" default={{$:/themes/jd/Material/ConfigDB##listsdefon}}>\nbody.tc-body .tc-storyview-zoomin-tiddler { \nwidth: calc(100% - 42px - 42px);\n}\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/state/sidebar\" text=\"no\" default={{$:/themes/jd/Material/ConfigDB##listsdefon}}>\nbody.tc-body .tc-storyview-zoomin-tiddler { \nwidth: calc(100% - {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}} - 42px - 42px);\n}\n</$reveal>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/state/sidebar\" text=\"no\" default={{$:/themes/jd/Material/ConfigDB##listsdefon}}>\n.tc-tiddler-frame {\n    width: {{$:/themes/jd/Material/ConfigDB##tiddler-width}};\n    margin-left: auto;\n    margin-right: auto;\n}\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/state/sidebar\" text=\"no\" default={{$:/themes/jd/Material/ConfigDB##listsdefon}}>\n.tc-tiddler-frame { width: 100%; }\n</$reveal>\n.tc-tiddler-frame {\n    padding: 28px 42px;\n    border: 0;\n}\n}\n\n.tc-sidebar-scrollable, .tc-topbar { display: none; }\n\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n.tc-story-river { padding-top: calc(56px + 42px); }\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n.tc-story-river { padding-top: 56px; }\n}\n\n.tc-tiddler-frame {\n    <<box-shadow \"0 2px 2px 0 rgba(0, 0, 0, 0.14), 0 3px 1px -2px rgba(0, 0, 0, 0.2), 0 1px 5px 0 rgba(0, 0, 0, 0.12)\">>\n}\n\n\n/* VANILLA TWEAKS */\n\n.tc-story-river { width: 100%; }\n\n.tc-btn-mini { color: <<colour muted-foreground>>; }\n\n<$list filter=\"[{$:/palette}prefix[$:/themes/jd/Material/Palette/]]\">\nbody.tc-dirty div.header-wrapper span.tc-dirty-indicator,\nbody.tc-dirty div.header-wrapper span.tc-dirty-indicator svg {\n    fill: <<colour button-background>>;\n    color: <<colour button-background>>;\n}\n</$list>\n\nbutton.tc-btn-invisible.header-btn .tc-dirty-indicator {\n    display: -webkit-box;\n    display: -ms-flexbox;\n    display: flex;\n    -webkit-box-align: center;\n        -ms-flex-align: center;\n            align-items: center;\n}\n\n.tc-notification {\n    text-shadow: none;\n    border-radius: 2px;\n    <<box-shadow \"0 3px 4px 0 rgba(0, 0, 0, 0.14), 0 3px 3px -2px rgba(0, 0, 0, 0.2), 0 1px 8px 0 rgba(0, 0, 0, 0.12)\">>\n}\n\n.tc-modal { left: {{$:/themes/jd/Material/ConfigDB##fabxy}}; width: calc(100% - {{$:/themes/jd/Material/ConfigDB##fabxy}}*2); top: calc(56px + 42px); }\n\n.tc-modal-backdrop { overflow: hidden; }\n\n.tc-modal-footer {\n    -webkit-box-shadow: inset 0 1px 0 <<colour modal-border>>;\n    -moz-box-shadow: inset 0 1px 0 <<colour modal-border>>;\n    box-shadow: inset 0 1px 0 <<colour modal-border>>;\n}\n\n.tc-modal-wrapper { z-index: 1000; }\n\n.tc-plugin-info-dropdown,\n.tc-plugin-info { border: 1px solid <<colour table-border>>; }\n\n<$reveal type=\"match\" state=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" text=\"yes\" default =\"no\">\n.tc-tiddler-title {\n    top: 55px;\n    z-index: 700;\n}\n</$reveal>\n\n.tc-plugin-reload-warning { z-index: 2000; }\n\n\n/* HTML TWEAKS */\n\nhr,\nhr.tc-untagged-separator {\n    color: <<colour table-border>>;\n    background-color: <<colour table-border>>;\n    height: 1px;\n    border: 0;\n}\n\ninput, input[type=\"password\"] { \n    background: <<colour background>>;\n    border: 1px solid <<colour tiddler-editor-border>>;\n}\n\ninput[type=\"color\"] {\n    background: <<colour dropdown-background>>;\n    border: 1px solid <<colour tiddler-editor-border>>;\n}\n\nbutton {\n    border: 0;\n    border-radius: 2px;\n    padding: 6px 16px;\n    margin: 2px;\n}\n\n.tc-btn-invisible {\n    color: inherit;\n}\n\nselect {\n    max-width: 100%;\n    background: <<colour dropdown-background>>;\n    border: 1px solid <<colour tiddler-editor-border>>;\n}\n\n\n/* FOR COLOR PICKER */\n\n.color-prev {\n    width: 30px; \n    height: 30px; \n    border: 1px solid white;\n    border-radius: 15px;\n    display: inline-block;\n    margin-right: 10px;\n}\n.edit-color {\n    padding: 10px;\n    margin: 10px 0;\n    border: 1px solid <<colour tiddler-editor-border>>;\n    border-radius: 2px;\n} \n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n.edit-color { width: 100%; } \n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n/* SCROLLBARS */\n\ndiv::-webkit-scrollbar { background: rgba(0, 0, 0, 0.12); }\ndiv::-webkit-scrollbar-thumb { background: rgba(0, 0, 0, 0.12); }\n}\n\n\n\n/*! * animate.css -http://daneden.me/animate * Version - 3.6.0 * Licensed under the MIT license - http://opensource.org/licenses/MIT * * Copyright (c) 2018 Daniel Eden */\n\n/* customized for TW5 Material theme by jd */\n\n .animated{\n    -webkit-animation-duration: <<dur>>;\n    animation-duration: <<dur>>;\n    -webkit-animation-fill-mode:both;\n    animation-fill-mode:both\n        -webkit-animation-timing-function:cubic-bezier(.215,.61,.355,1);\n        animation-timing-function:cubic-bezier(.215,.61,.355,1);\n}\n\n@-webkit-keyframes slideInLeft{\n    0%{\n        -webkit-transform:translate3d(-100%,0,0);\n        transform:translate3d(-100%,0,0);\n        visibility:visible\n    }\n    to{\n        -webkit-transform:translateZ(0);\n        transform:translateZ(0)\n    }\n}\n@keyframes slideInLeft{\n    0%{\n        -webkit-transform:translate3d(-100%,0,0);\n        transform:translate3d(-100%,0,0);\n        visibility:visible\n    }\n    to{\n        -webkit-transform:translateZ(0);\n        transform:translateZ(0)\n    }\n}\n.slideInLeft{\n    -webkit-animation-name:slideInLeft;\n    animation-name:slideInLeft\n}\n\n<$list filter=\"[[$:/plugins/tiddlywiki/hammerjs][$:/plugins/BurningTree/hammerwidgets]!is[missing]]\">\n@-webkit-keyframes slideInUp {\n  from {\n    -webkit-transform: translate3d(0, 100%, 0);\n    transform: translate3d(0, 100%, 0);\n    visibility: visible;\n  }\n\n  to {\n    -webkit-transform: translate3d(0, 0, 0);\n    transform: translate3d(0, 0, 0);\n  }\n}\n\n@keyframes slideInUp {\n  from {\n    -webkit-transform: translate3d(0, 100%, 0);\n    transform: translate3d(0, 100%, 0);\n    visibility: visible;\n  }\n\n  to {\n    -webkit-transform: translate3d(0, 0, 0);\n    transform: translate3d(0, 0, 0);\n  }\n}\n\n.slideInUp {\n  -webkit-animation-name: slideInUp;\n  animation-name: slideInUp;\n}\n\ndiv.animated.slideInUp {\n    position: fixed;\n    bottom: calc({{$:/themes/jd/Material/ConfigDB##fabxy}} + {{$:/themes/jd/Material/ConfigDB##fabsize}} + {{$:/themes/jd/Material/ConfigDB##fabmargin}} + {{$:/themes/jd/Material/ConfigDB##fabmargin}});\n    right: {{$:/themes/jd/Material/ConfigDB##fabxy}};\n    overflow: hidden;\n    z-index: 800;\n}\n\n.jd-swipearea {\n    position: fixed;\n    bottom: 0;\n    opacity: 0;\n    width: 15px;\n    height: calc(100% - 56px);\n    z-index: 1100;\n}\n.jd-swipearea-on {\n    left: 0;\n    background: green;\n}\n.jd-swipearea-off {\n    right: 0;\n    background: red;\n}\n</$list>\n\ndiv.animated.slideInLeft {\n    position: fixed;\n    top: 56px;\n    left: 0;\n    min-height: 100%;\n    z-index: 1000;\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\ndiv.animated.slideInLeft {\n    width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n}\n}\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\ndiv.animated.slideInLeft {\n    width: 100%;\n}\n}\n\n\n\n\n\n\n</pre>",
            "title": "$:/themes/jd/Material/Stylesheet",
            "tags": "$:/tags/Stylesheet",
            "modifier": "jd",
            "modified": "20180727121130707",
            "list-after": "$:/themes/tiddlywiki/vanilla/base"
        },
        "$:/themes/jd/Material/Palette/MaterialLightBase": {
            "created": "20180324091659091",
            "creator": "jd",
            "text": "alert-background: <<colour background>>\nalert-border: <<colour very-muted-foreground>>\nalert-highlight: <<colour very-muted-foreground>>\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #FAFAFA\nblockquote-bar: <<colour page-background>>\nbutton-background: {{$:/themes/jd/Material/ConfigDB##color-button-background}}\nbutton-foreground: \nbutton-border: <<colour button-background>>\ncode-background: #ececec\ncode-border: transparent\ncode-foreground: rgba(0, 0, 0, 0.54)\ndirty-indicator: <<colour sidebar-tab-background>>\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #FFFFFF\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: <<colour dropdown-background>>\ndropdown-tab-background: #F5F5F5\ndropzone-background: <<colour tag-background>>\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: <<colour sidebar-tab-background>>\nexternal-link-foreground-visited: <<colour tag-background>>\nexternal-link-foreground: <<colour sidebar-tab-background>>\nforeground: rgba(0, 0, 0, 0.87)\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(0, 0, 0, 0.54)\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour very-muted-foreground>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: rgba(0, 0, 0, 0.54)\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #E0E0E0\npre-background: <<colour code-background>>\npre-border: transparent\nprimary: {{$:/themes/jd/Material/ConfigDB##color-primary}}\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #aaaaaa\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(0, 0, 0, 0.54)\nsidebar-muted-foreground-hover: rgba(0, 0, 0, 0.54)\nsidebar-muted-foreground: rgba(0, 0, 0, 0.38)\nsidebar-tab-background-selected: transparent\nsidebar-tab-background: {{$:/themes/jd/Material/ConfigDB##color-sidebar-tab-background}}\nsidebar-tab-border-selected: <<colour button-background>>\nsidebar-tab-border: transparent\nsidebar-tab-divider: transparent\nsidebar-tab-foreground-selected: white\nsidebar-tab-foreground: white\nsidebar-tiddler-link-foreground-hover: rgba(0, 0, 0, 0.87)\nsidebar-tiddler-link-foreground: rgba(0, 0, 0, 0.54)\nsite-title-foreground: rgba(0, 0, 0, 0.87)\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: transparent\ntab-border-selected: #dadada\ntab-border: transparent\ntab-divider: #dadada\ntab-foreground-selected: rgba(0, 0, 0, 0.87)\ntab-foreground: rgba(0, 0, 0, 0.54)\ntable-border: #dadada\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: {{$:/themes/jd/Material/ConfigDB##color-tag-background}}\ntag-foreground: <<colour button-foreground>>\ntiddler-background: <<colour background>>\ntiddler-border: transparent\ntiddler-controls-foreground-hover: #a0a0a0\ntiddler-controls-foreground-selected: #a0a0a0\ntiddler-controls-foreground: #c5c5c5\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: <<colour very-muted-foreground>>\ntiddler-editor-fields-even: rgba(0, 0, 0, 0.1)\ntiddler-editor-fields-odd: rgba(0, 0, 0, 0.04)\ntiddler-info-background: #F5F5F5\ntiddler-info-border: #F5F5F5\ntiddler-info-tab-background: <<colour tiddler-editor-fields-odd>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #000000\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: rgba(0, 0, 0, 0.12)",
            "type": "application/x-tiddler-dictionary",
            "title": "$:/themes/jd/Material/Palette/MaterialLightBase",
            "revision": "16-1f6eabb9816382603cfa899327890536",
            "name": "Material Light Base",
            "modifier": "jd",
            "modified": "20180720144801444",
            "description": "Bright material base"
        },
        "$:/themes/jd/Material/Palette/MaterialDarkBase": {
            "created": "20180325092158840",
            "creator": "jd",
            "text": "alert-background: <<colour background>>\nalert-border: <<colour very-muted-foreground>>\nalert-highlight: <<colour very-muted-foreground>>\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #303030\nblockquote-bar: <<colour page-background>>\nbutton-background: {{$:/themes/jd/Material/ConfigDB##color-button-background}}\nbutton-foreground: <<colour background>>\nbutton-border: <<colour button-background>>\ncode-background: #383838\ncode-border: <<colour code-background>>\ncode-foreground: rgba(255, 255, 255, 0.54)\ndirty-indicator: <<colour sidebar-tab-background>>\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #424242\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: <<colour dropdown-background>>\ndropdown-tab-background: #050505\ndropzone-background: <<colour tag-background>>\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: <<colour sidebar-tab-background>>\nexternal-link-foreground-visited: <<colour tag-background>>\nexternal-link-foreground: <<colour sidebar-tab-background>>\nforeground: rgba(255, 255, 255, 0.7)\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(255, 255, 255, 0.54)\nmodal-backdrop: <<colour page-background>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour background>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: rgba(255, 255, 255, 0.54)\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #212121\npre-background: <<colour code-background>>\npre-border: <<colour code-background>>\nprimary: {{$:/themes/jd/Material/ConfigDB##color-primary}}\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #FFFFFF\nsidebar-controls-foreground: #aaaaaa\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground-hover: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground: rgba(255, 255, 255, 0.38)\nsidebar-tab-background-selected: transparent\nsidebar-tab-background: {{$:/themes/jd/Material/ConfigDB##color-sidebar-tab-background}}\nsidebar-tab-border-selected: <<colour button-background>>\nsidebar-tab-border: transparent\nsidebar-tab-divider: transparent\nsidebar-tab-foreground-selected: white\nsidebar-tab-foreground: rgba(255, 255, 255, 0.87)\nsidebar-tiddler-link-foreground-hover: rgba(255, 255, 255, 0.7)\nsidebar-tiddler-link-foreground: rgba(255, 255, 255, 0.54)\nsite-title-foreground: rgba(255, 255, 255, 0.7)\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: transparent\ntab-border-selected: #585858\ntab-border: transparent\ntab-divider: #585858\ntab-foreground-selected: rgba(255, 255, 255, 0.87)\ntab-foreground: rgba(255, 255, 255, 0.54)\ntable-border: rgba(255, 255, 255, 0.12)\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: {{$:/themes/jd/Material/ConfigDB##color-tag-background}}\ntag-foreground: <<colour button-foreground>>\ntiddler-background: <<colour background>>\ntiddler-border: transparent\ntiddler-controls-foreground-hover: #797979\ntiddler-controls-foreground-selected: #797979\ntiddler-controls-foreground: #636363\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: <<colour very-muted-foreground>>\ntiddler-editor-fields-even: rgba(255, 255, 255, 0.1)\ntiddler-editor-fields-odd: rgba(255, 255, 255, 0.04)\ntiddler-info-background: #454545\ntiddler-info-border: #454545\ntiddler-info-tab-background: <<colour tiddler-editor-fields-odd>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour button-background>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #FFFFFF\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: rgba(255, 255, 255, 0.12)\ntiddler-link-foreground-visited: #aeaeae",
            "type": "application/x-tiddler-dictionary",
            "title": "$:/themes/jd/Material/Palette/MaterialDarkBase",
            "revision": "16-bb276562b7c93c8ace69907892d92eed",
            "name": "Material Dark Base",
            "modifier": "jd",
            "modified": "20180720145138316",
            "description": "Grim material base"
        },
        "$:/themes/jd/Material/ConfigDB": {
            "created": "20180327133017293",
            "creator": "jd",
            "text": "{\n    \"fabmargin\": \"5px\",\n    \"fabsize\": \"56px\",\n    \"fabxy\": \"30px\",\n    \"fab\": \"$:/core/ui/Buttons/new-tiddler\",\n    \"fab1\": \"$:/core/ui/Buttons/control-panel\",\n    \"fab2\": \"$:/core/ui/Buttons/save-wiki\",\n    \"fab3\": \"\",\n    \"fab4\": \"\",\n    \"fab5\": \"\",\n    \"fab6\": \"\",\n    \"headerbtns\": \"4\",\n    \"icon\": \"{{$:/core/images/menu-button}}\",\n    \"statelists\": \"yes\",\n    \"mobilepopups\": \"yes\",\n    \"outlinenone\": \"no\",\n    \"fabiconsize\": \"26px\",\n    \"listsdefon\": \"yes\",\n    \"color-primary\": \"#01579B\",\n    \"color-sidebar-tab-background\": \"#0288D1\",\n    \"color-button-background\": \"#cfd8dc\",\n    \"color-tag-background\": \"#cfd8dc\",\n    \"styledframes\": \"yes\",\n    \"tiddler-width\": \"100%\"\n}",
            "type": "application/json",
            "title": "$:/themes/jd/Material/ConfigDB",
            "tags": "",
            "modifier": "jd",
            "modified": "20180727131000723"
        },
        "$:/themes/jd/Material/Tweaks/Colors": {
            "created": "20180324100034128",
            "creator": "jd",
            "text": "\\define paletteBase(theme:Light) $:/themes/jd/Material/Palette/Material$theme$Base\n\n\\define swColor(color) <div class=\"color-prev\" style=\"background: $color$;\"/>\n\n\\define setColor(name,v2,v3,v4,v5,theme,icon:\"{{$:/core/images/menu-button}}\") \n<$button class=\"tc-btn-invisible\" style=\"text-align: left;\"> $name$\n<$action-setfield $tiddler=\"$:/palette\" text=<<paletteBase $theme$>>/>\n<$action-setfield $tiddler=\"$:/themes/jd/Material/ConfigDB\" $index=\"color-primary\" $value=$v2$/>\n<$action-setfield $tiddler=\"$:/themes/jd/Material/ConfigDB\" $index=\"color-sidebar-tab-background\" $value=$v3$/>\n<$action-setfield $tiddler=\"$:/themes/jd/Material/ConfigDB\" $index=\"color-button-background\" $value=$v4$/>\n<$action-setfield $tiddler=\"$:/themes/jd/Material/ConfigDB\" $index=\"color-tag-background\" $value=$v5$/>\n<$action-setfield $tiddler=\"$:/themes/jd/Material/ConfigDB\" $index=\"icon\" $value=\"$icon$\"/>\n<div>\n<$macrocall $name=\"swColor\" color=$v2$/>\n<$macrocall $name=\"swColor\" color=$v3$/>\n<$macrocall $name=\"swColor\" color=$v4$/>\n<$macrocall $name=\"swColor\" color=$v5$/>\n</div>\n</$button> \n\\end\n\n\\define materialPalette(theme)\n<<setColor \"Colored chalk\" #52366c #644a7d #00a9c7 #FFC107 $theme$>>\n<<setColor \"Zombie\" #a00000 #b40000 #00a0a0 #00a0a0 $theme$>>\n<<setColor \"Mahvanilla\" #01579B #0288D1 #cfd8dc #cfd8dc $theme$>>\n<<setColor \"Red sun\" #d50000 #ff5131 #fbc02d #ffab91 $theme$>>\n<<setColor \"The woods\" #004d40 #39796b #9e9e9e #66bb6a $theme$>>\n<<setColor \"Bonfire\" #880e4f #bc477b #ff5722 #ff616f $theme$>>\n<<setColor \"Lumpy space princess\" #7b1fa2 #ae52d4 #e57373 #fdd835 $theme$>>\n<<setColor \"The bends\" #37474f #62727b #bdbdbd #bdbdbd $theme$>>\n<<setColor \"BMNoir\" #212121 #424242 #aeaeae  #aeaeae $theme$ \"{{$:/themes/jd/Material/images/bmnoir}}\">>\n<<setColor \"Pet sounds\" #f9a825 #fbc02d #4dd0e1 #4dd0e1 $theme$>>\n<<setColor \"Tomatoes\" #b71c1c #f05545 #8BC34A #CDDC39 $theme$>>\n<<setColor \"Most material\" #303f9f #3f51b5 #e91e63 #e91e63 $theme$>>\n\\end\n\n\\define editColor(description,index)\n<div class=\"edit-color\">\n<div style=\"margin-bottom: 5px;\">\n<i class=\"tc-muted\">\n$description$\n</i>\n</div>\n<div>\n<$reveal state=\"$:/palette\" type=\"match\" text=<<paletteBase Light>>>\n<$edit-text tiddler=\"$:/themes/jd/Material/ConfigDB\" index=$index$ tag=\"input\"/> \n<$edit-text tiddler=\"$:/themes/jd/Material/ConfigDB\" index=$index$ tag=\"input\" type=\"color\"/>\n</$reveal>\n<$reveal state=\"$:/palette\" type=\"match\" text=<<paletteBase Dark>>>\n<$edit-text tiddler=\"$:/themes/jd/Material/ConfigDB\" index=$index$ tag=\"input\"/> \n<$edit-text tiddler=\"$:/themes/jd/Material/ConfigDB\" index=$index$ tag=\"input\" type=\"color\"/>\n</$reveal>\n</div>\n</div>\n\\end\n\n<$button popup=<<qualify \"$:/state/popup/colorschemeLight\">>> Light theme (popup selection)</$button>\n<$button popup=<<qualify \"$:/state/popup/colorschemeDark\">>> Dark theme (popup selection)</$button>\n<$reveal state=\"$:/state/edit/MaterialPalette\" type=\"nomatch\" text=\"yes\">\n<$button set=\"$:/state/edit/MaterialPalette\" setTo=\"yes\"> Show color editor</$button>\n</$reveal>\n<$reveal state=\"$:/state/edit/MaterialPalette\" type=\"match\" text=\"yes\">\n<$button set=\"$:/state/edit/MaterialPalette\" setTo=\"no\"> Hide color editor</$button>\n</$reveal>\n\n<$reveal state=<<qualify \"$:/state/popup/colorschemeLight\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<<materialPalette Light>>\n</div>\n</$reveal>\n\n<$reveal state=<<qualify \"$:/state/popup/colorschemeDark\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<<materialPalette Dark>>\n</div>\n</$reveal>\n\n<$reveal state=\"$:/state/edit/MaterialPalette\" type=\"match\" text=\"yes\">\n<$list filter=\"[prefix[$:/palette]search[$:/themes/jd/Material/Palette]]\">\n\n<<editColor \"header, internal links\" \"color-primary\">>\n<<editColor \"header tabs, unvisited external links, save-wiki dirty indicator on Tools sidebar\" \"color-sidebar-tab-background\">>\n<<editColor \"default button and FAB background, border for selected header tab, save-wiki dirty indicator on header\" \"color-button-background\">>\n<<editColor \"default tags, visited external links\" \"color-tag-background\">>\n</$list>\n</$reveal>\n",
            "type": "text/vnd.tiddlywiki",
            "title": "$:/themes/jd/Material/Tweaks/Colors",
            "tags": "",
            "revision": "9-db2ad17dc6729615095d5196ee9f4d0a",
            "modifier": "jd",
            "modified": "20180623074749214"
        },
        "$:/themes/jd/Material/Tweaks": {
            "created": "20180324164501795",
            "creator": "jd",
            "text": "\\define configDB(caption,index)\n<tr><td>$caption$: </td><td><$edit-text tiddler=\"$:/themes/jd/Material/ConfigDB\" index=$index$ tag=\"input\"/></td></tr>\n\\end\n\n\\define selectFAB(fab)\n<$select tiddler=\"$:/themes/jd/Material/ConfigDB\" index=\"$fab$\">\n<option value=\"\"> none </option>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]sort[title]]-[{$:/themes/jd/Material/ConfigDB##fab}]-[{$:/themes/jd/Material/ConfigDB##fab1}]-[{$:/themes/jd/Material/ConfigDB##fab2}]-[{$:/themes/jd/Material/ConfigDB##fab3}]-[{$:/themes/jd/Material/ConfigDB##fab4}]-[{$:/themes/jd/Material/ConfigDB##fab5}]-[{$:/themes/jd/Material/ConfigDB##fab6}][{$:/themes/jd/Material/ConfigDB##$fab$}]\">\n<option>\n<$view field=\"title\"/>\n</option>\n</$list>\n</$select>\n<$button class=\"tc-btn-invisible tc-tiddlylink\"> remove\n<$action-setfield $tiddler=\"$:/themes/jd/Material/ConfigDB\" $index=$fab$ $value=\"\"/>\n</$button>\n\\end\n\n!! Sidebar & tiddlers\n\n|State of sidebar when $:/state/sidebar is missing |<$select tiddler=\"$:/themes/jd/Material/ConfigDB\" index=\"listsdefon\"><option value=\"yes\">open</option><option value=\"no\">close</option></$select>|\n|Number of sidebar tabs visible without scrolling |<$select tiddler=\"$:/themes/jd/Material/ConfigDB\" index=\"headerbtns\"><option>3</option><option>4</option><option>5</option><option>6</option></$select> |\n|Tiddler width when sidebar is closed |<$edit-text tiddler=\"$:/themes/jd/Material/ConfigDB\" index=\"tiddler-width\" tag=\"input\" class=\"tc-edit-texteditor\"/> |\n\n<hr>\n\n!! Colors\n\n{{$:/themes/jd/Material/Tweaks/Colors}}\n\n<hr>\n\n!! FAB buttons\n\n''Primary FAB button''\n\n<<selectFAB fab>>\n\n''Secondary FAB buttons''\n\n<<selectFAB fab1>>\n<<selectFAB fab2>>\n<<selectFAB fab3>>\n<<selectFAB fab4>>\n<<selectFAB fab5>>\n<<selectFAB fab6>>\n\n''FAB Size''\n\n<table>\n<<configDB \"Button Size\" fabsize>>\n<<configDB \"Button icon size\" fabiconsize>>\n<<configDB \"Offset from bottom right corner\" fabxy>>\n<<configDB \"Margin\" fabmargin>>\n</table>\n\n<hr>\n\n!! Miscellaneous\n\n<$checkbox tiddler=\"$:/themes/jd/Material/ConfigDB\" index=\"mobilepopups\" checked=\"yes\" unchecked=\"no\"> Center popups and dropdowns in mobile view (will not apply in Zoomin view)</$checkbox>\n\n<$checkbox tiddler=\"$:/themes/jd/Material/ConfigDB\" index=\"styledframes\" checked=\"yes\" unchecked=\"no\"> Style the tiddler frames</$checkbox>\n\n<$checkbox tiddler=\"$:/themes/jd/Material/ConfigDB\" index=\"outlinenone\" checked=\"yes\" unchecked=\"no\"> Don't show outline on buttons and input areas even on desktop (for your reference: [[Outlinenone|http://www.outlinenone.com/]])</$checkbox>\n\nYou can install Roboto font as a plugin by following this link (plugin by ~TheDiveO): [[TW5Roboto|https://github.com/TheDiveO/TW5Roboto/releases/tag/v0.9.0]]\n\nGet [[swipe/tap capabilities|http://j.d.material.tiddlyspot.com/#Make%20it%20swipable%20%2F%20tappable]]\n\nGet [[Material icons|http://j.d.material.tiddlyspot.com/#Make%20it%20more%20Material]]\n\n<hr>\n\n!! Vanilla tweaks\n\n{{$:/themes/jd/Material/Tweaks/VanillaExtract}}\n\n<hr>\n\n!! References\n\nhttps://material.io/\n\nhttps://material.io/icons/\n\nhttps://material.io/color/",
            "type": "text/vnd.tiddlywiki",
            "title": "$:/themes/jd/Material/Tweaks",
            "tags": "$:/tags/ControlPanel/Appearance",
            "revision": "4-958d85408a4b3265a91b3b01483187c6",
            "modifier": "jd",
            "modified": "20180729063315199",
            "caption": "Material Tweaks"
        },
        "$:/themes/jd/Material/Buttons/advanced-search": {
            "created": "20180331111734954",
            "creator": "jd",
            "text": "\\define control-panel-button(class)\n<$button tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$action-setfield $tiddler=\"$:/state/header-searchbar\" text=\"open\"/>\n<$action-setfield $tiddler=\"$:/state/sidebar\" text=\"no\"/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/advanced-search-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/AdvancedSearch/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/AdvancedSearch]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n",
            "title": "$:/themes/jd/Material/Buttons/advanced-search",
            "modifier": "jd",
            "modified": "20180405104412302",
            "description": "{{$:/language/Buttons/AdvancedSearch/Hint}}",
            "caption": "{{$:/core/images/advanced-search-button}} {{$:/language/Buttons/AdvancedSearch/Caption}}"
        },
        "$:/themes/jd/Material/Tweaks/VanillaExtract": {
            "text": "\\define lingo-base() $:/language/ThemeTweaks/\n\n\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n\\define backgroundimage-dropdown()\n<div class=\"tc-drop-down-wrapper\">\n<$button popup=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"\n\t$value=<<imageTitle>>\n/>\n\n\"\"\"/>\n</div>\n</$reveal>\n</div>\n\\end\n\n\\define backgroundimageattachment-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\" default=\"scroll\">\n<option value=\"scroll\"><<lingo Settings/BackgroundImageAttachment/Scroll>></option>\n<option value=\"fixed\"><<lingo Settings/BackgroundImageAttachment/Fixed>></option>\n</$select>\n\\end\n\n\\define backgroundimagesize-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\" default=\"scroll\">\n<option value=\"auto\"><<lingo Settings/BackgroundImageSize/Auto>></option>\n<option value=\"cover\"><<lingo Settings/BackgroundImageSize/Cover>></option>\n<option value=\"contain\"><<lingo Settings/BackgroundImageSize/Contain>></option>\n</$select>\n\\end\n\nThe following are the only inherited tweaks from Vanilla theme (others found in [[Theme Tweaks|$:/themes/tiddlywiki/vanilla/themetweaks]] do not apply):\n\n''<<lingo Options>>''\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><<lingo Options/StickyTitles>></$link><br>//Causes tiddler titles to \"stick\" to the top of the browser window. Caution: Not compatible with all browsers// |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><option value=\"no\">{{$:/language/No}}</option><option value=\"yes\">{{$:/language/Yes}}</option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><<lingo Options/CodeWrapping>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><option value=\"pre\">{{$:/language/No}}</option><option value=\"pre-wrap\">{{$:/language/Yes}}</option></$select> |\n\n''<<lingo Settings>>''\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"><<lingo Settings/FontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\"><<lingo Settings/CodeFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\"><<lingo Settings/EditorFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"><<lingo Settings/BackgroundImage>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" default=\"\" tag=\"input\"/> |<<backgroundimage-dropdown>> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\"><<lingo Settings/BackgroundImageAttachment>></$link> |<<backgroundimageattachment-dropdown>> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\"><<lingo Settings/BackgroundImageSize>></$link> |<<backgroundimagesize-dropdown>> | |\n\n''<<lingo Metrics>>''\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\"><<lingo Metrics/FontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\"><<lingo Metrics/LineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\"><<lingo Metrics/BodyFontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\"><<lingo Metrics/BodyLineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\"><<lingo Metrics/SidebarBreakpoint>></$link><br>//<<lingo Metrics/SidebarBreakpoint/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\"><<lingo Metrics/SidebarWidth>></$link><br>//<<lingo Metrics/SidebarWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\" default=\"\" tag=\"input\"/> |\n",
            "title": "$:/themes/jd/Material/Tweaks/VanillaExtract",
            "modifier": "jd",
            "modified": "20180402152332643",
            "creator": "jd",
            "created": "20180402133727759",
            "caption": "{{$:/language/ThemeTweaks/ThemeTweaks}}"
        },
        "$:/themes/jd/Material/images/bmnoir": {
            "text": "<!-- Generator: Adobe Illustrator 17.1.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->\n<svg height=\"24\" viewBox=\"0 0 24 24\" width=\"24\" version=\"1.1\" id=\"Capa_1\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" x=\"0px\" y=\"0px\"\n\t viewBox=\"0 0 213.167 213.167\" style=\"enable-background:new 0 0 213.167 213.167;\" xml:space=\"preserve\">\n<path d=\"M106.583,167.873c-28.275,0-54.889-6.26-74.938-17.625C11.239,138.678,0,123.172,0,106.583s11.239-32.095,31.646-43.664\n\tc20.049-11.366,46.663-17.625,74.938-17.625c28.276,0,54.889,6.26,74.938,17.625c20.407,11.569,31.646,27.076,31.646,43.664\n\ts-11.238,32.095-31.646,43.664C161.473,161.614,134.859,167.873,106.583,167.873z M106.583,49.294C50.019,49.294,4,74.994,4,106.583\n\tc0,31.59,46.019,57.29,102.583,57.29s102.583-25.7,102.583-57.29C209.167,74.994,163.148,49.294,106.583,49.294z M106.584,152.017\n\tc-0.857,0-1.619-0.546-1.895-1.357c-1.904-5.609-8.217-20.886-14.479-24.175c-2.021-1.062-3.857-1.6-5.457-1.6\n\tc-2.834,0-4.435,1.683-5.604,2.911l-0.326,0.34c-1.648,1.688-4.735,5.793-4.766,5.834c-0.359,0.479-0.915,0.77-1.512,0.796\n\tc-0.599,0.031-1.177-0.217-1.576-0.663c-0.088-0.097-8.854-9.76-17.168-9.835l-0.137,0c-2.721,0-4.726,0.75-5.958,2.23\n\tc-2.114,2.539-1.581,6.52-1.367,7.68c0.81,4.398,4.182,10.027,4.216,10.083c0.44,0.73,0.369,1.658-0.176,2.313\n\tc-0.545,0.655-1.445,0.892-2.243,0.591c-1.285-0.485-31.527-12.151-35.551-36.035c-2.75-16.321,8.916-31.372,32.849-42.38\n\tc8.49-3.906,22.902-7.795,23.512-7.958c0.855-0.23,1.764,0.133,2.226,0.89c0.462,0.758,0.37,1.73-0.228,2.387\n\tc-0.463,0.513-11.284,12.715-2.284,22.52c2.735,2.98,6.157,4.555,9.895,4.555c7.319,0,13.888-5.828,14.655-10.842\n\tc1.396-9.113,1.578-21.362,1.58-21.485c0.013-0.902,0.627-1.685,1.501-1.91c0.876-0.226,1.79,0.164,2.237,0.948l4.979,8.75\n\tl3.035-0.061l3.115,0.061l4.979-8.75c0.446-0.783,1.361-1.171,2.236-0.948c0.874,0.225,1.489,1.007,1.502,1.91\n\tc0.002,0.123,0.184,12.372,1.579,21.485c0.769,5.014,7.338,10.842,14.656,10.842c3.739,0,7.161-1.575,9.896-4.555\n\tc9.035-9.842-1.817-22.007-2.283-22.52c-0.598-0.657-0.69-1.629-0.228-2.387c0.461-0.758,1.368-1.122,2.226-0.89\n\tc0.609,0.164,15.021,4.053,23.511,7.958c23.934,11.008,35.6,26.059,32.85,42.38c-4.025,23.884-34.267,35.55-35.552,36.035\n\tc-0.798,0.3-1.697,0.063-2.242-0.591s-0.616-1.583-0.177-2.313c0.034-0.056,3.409-5.699,4.217-10.084\n\tc0.213-1.16,0.745-5.141-1.368-7.68c-1.232-1.479-3.236-2.229-5.957-2.229l-0.136,0c-8.315,0.075-17.081,9.737-17.169,9.835\n\tc-0.399,0.444-0.969,0.692-1.576,0.663c-0.598-0.026-1.153-0.318-1.513-0.796c-0.03-0.042-3.119-4.148-4.766-5.834l-0.325-0.338\n\tc-1.169-1.229-2.77-2.913-5.604-2.913c-1.599,0-3.435,0.538-5.457,1.6c-6.269,3.293-12.577,18.567-14.479,24.174\n\tC108.202,151.471,107.441,152.017,106.584,152.017z M84.753,120.885c2.254,0,4.716,0.692,7.317,2.059\n\tc6.336,3.328,11.771,14.738,14.513,21.439c2.743-6.701,8.176-18.111,14.513-21.439c2.601-1.367,5.063-2.059,7.316-2.059\n\tc4.552,0,7.122,2.704,8.504,4.156l0.288,0.301c1.066,1.092,2.583,2.972,3.686,4.382c3.24-3.12,10.702-9.386,18.438-9.456l0.173,0\n\tc3.964,0,7.002,1.235,9.03,3.67c3.139,3.77,2.604,8.923,2.229,10.964c-0.379,2.059-1.195,4.272-2.045,6.198\n\tc8.579-4.322,25.225-14.637,27.92-30.635c3.104-18.423-14.914-30.877-30.576-38.081c-5-2.3-12.379-4.661-17.395-6.159\n\tc3.579,6.26,5.8,15.43-1.212,23.068c-3.513,3.827-7.954,5.85-12.843,5.85c-8.752,0-17.448-6.653-18.609-14.237\n\tc-0.753-4.914-1.161-10.578-1.38-14.936l-2.074,3.646c-0.363,0.637-1.05,1.051-1.778,1.01l-4.225-0.084l-4.145,0.084\n\tc-0.754,0.033-1.416-0.373-1.778-1.01l-2.074-3.646c-0.219,4.357-0.627,10.022-1.38,14.936c-1.162,7.584-9.857,14.237-18.609,14.237\n\tc-4.889,0-9.329-2.023-12.842-5.85c-7.012-7.639-4.791-16.808-1.211-23.068c-5.016,1.497-12.396,3.858-17.396,6.159\n\tc-15.662,7.204-33.68,19.659-30.576,38.081c2.696,15.998,19.341,26.313,27.92,30.635c-0.849-1.926-1.665-4.14-2.044-6.198\n\tc-0.376-2.041-0.912-7.194,2.227-10.963c2.028-2.436,5.067-3.671,9.032-3.671l0.173,0c7.736,0.07,15.198,6.336,18.438,9.456\n\tc1.103-1.41,2.619-3.29,3.686-4.383l0.29-0.302C77.633,123.588,80.204,120.885,84.753,120.885z\"/>\n<g>\n</g>\n<g>\n</g>\n<g>\n</g>\n<g>\n</g>\n<g>\n</g>\n<g>\n</g>\n<g>\n</g>\n<g>\n</g>\n<g>\n</g>\n<g>\n</g>\n<g>\n</g>\n<g>\n</g>\n<g>\n</g>\n<g>\n</g>\n<g>\n</g>\n</svg>\n",
            "title": "$:/themes/jd/Material/images/bmnoir",
            "tags": "$:/tags/Image",
            "reference": "https://www.svgrepo.com/svg/27924/batman",
            "modifier": "jd",
            "modified": "20180402145004759",
            "creator": "jd",
            "created": "20180402144419317"
        },
        "$:/themes/jd/Material/Template/Header-Sidebar": {
            "created": "20180324031529092",
            "creator": "jd",
            "text": "\\define config-title() $:/config/PageControlButtons/Visibility/$(listItem)$\n<div class=\"header-back\"></div>\n<div class=\"header-wrapper\">\n<div style=\"padding: 16px; width: 100%; display: flex; flex-direction: column; flex: 0 0 auto;\">\n<$reveal state=\"$:/state/header-searchbar\" type=\"match\" text=\"close\" default=\"close\" animate=\"yes\" tag=\"div\" class=\"header-type-wrapper\">\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"no\" default={{$:/themes/jd/Material/ConfigDB##listsdefon}}>\n<$button set=\"$:/state/sidebar\" setTo=\"no\" tooltip={{$:/language/Buttons/HideSideBar/Hint}} aria-label={{$:/language/Buttons/HideSideBar/Caption}} class=\"tc-btn-invisible header-btn\" style=\"margin-right: 16px;\">\n<$action-setfield $tiddler=\"$:/themes/jd/Material/ConfigDB\" $index=\"statelists\" $value=\"no\"/>\n{{$:/themes/jd/Material/ConfigDB##icon}}\n</$button>\n</$reveal>\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"no\" default={{$:/themes/jd/Material/ConfigDB##listsdefon}}>\n<$button set=\"$:/state/sidebar\" setTo=\"yes\" tooltip={{$:/language/Buttons/ShowSideBar/Hint}} aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class=\"tc-btn-invisible header-btn\" style=\"margin-right: 16px;\">\n<$action-setfield $tiddler=\"$:/themes/jd/Material/ConfigDB\" $index=\"statelists\" $value=\"yes\"/>\n{{$:/themes/jd/Material/ConfigDB##icon}}\n</$button>\n</$reveal>\n<div class=\"header-title\">{{$:/SiteTitle}}</div>\n<div style=\"display: flex; justify-content: space-between; align-items: center;\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]][[$:/themes/jd/Material/Buttons/advanced-search]][[$:/core/ui/Buttons/more-page-actions]]\" variable=\"listItem\">\n<$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\" tag=\"div\" style=\"margin-left: 16px;\">\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible header-btn\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$set>\n</$reveal>\n</$list>\n</div>\n</$reveal>\n<$reveal state=\"$:/state/header-searchbar\" type=\"match\" text=\"open\" default=\"close\" animate=\"yes\" tag=\"div\" class=\"header-type-wrapper\">\n<div class=\"jd-search-header\">\n<$keyboard tag=\"div\" class=\"jd-search-bar\" key=\"escape\" actions=\"\"\"\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n<$action-setfield $tiddler=\"$:/state/header-searchbar\" text=\"close\"/>\n<$action-setfield $tiddler=\"$:/state/sidebar\" text={{$:/themes/jd/Material/ConfigDB##statelists}}/>\n\"\"\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus=\"yes\" placeholder=\"Search\" default=\"Search\"/>\n</$keyboard>\n<$list filter=\"[[$:/temp/advancedsearch]!text[]]\" variable=\"stateCheck\">\n<div class=\"jd-search-body\">\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div style=\"padding: 16px 28px;\">\n{{$:/language/Search/Search/TooShort}}. Adjust minimum search length [[here|$:/config/Search/MinLength]]\n</div>\"\"\" variable=\"listItem\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch]!has[draft.of]]\" default=\"$:/core/ui/AdvancedSearch/Standard\" state=\"$:/state/searchtab\"/>\n</$list>\n</div>\n</$list>\n<div class=\"jd-search-buttons\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n<$action-setfield $tiddler=\"$:/state/header-searchbar\" text=\"close\"/>\n<$action-setfield $tiddler=\"$:/state/sidebar\" text={{$:/themes/jd/Material/ConfigDB##statelists}}/>\n{{$:/core/images/close-button}}\n</$button>\n<$set filter=\"[search:title[$:/state/searchtab-]!sort[modified]limit[1]]\" name=\"searchTabState\">\n<$list filter=\"[<searchTabState>text[$:/core/ui/AdvancedSearch/Filter]]\" variable=\"stateCheck\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch/FilterButton]!has[draft.of]]-[[$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear]]-[[$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown]]\"><$transclude/>\n</$list>\n</$list>\n</$set>\n{{$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown}}\n</div>\n</div>\n</$reveal>\n</div>\n</div>\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"no\" retain=\"yes\" animate=\"yes\" tag=\"div\" class=\"animated slideInLeft\" default={{$:/themes/jd/Material/ConfigDB##listsdefon}}>\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\" default={{$:/config/DefaultSidebarTab}} state=\"$:/state/tab/sidebar\" class=\"jd-lists-body\"/>\n</$reveal>\n<$list filter=\"[[$:/plugins/tiddlywiki/hammerjs][$:/plugins/BurningTree/hammerwidgets]!is[missing]]\">\n<$swipe class=\"jd-swipearea jd-swipearea-on\" velocity=\"0.5\" rightactions=\"\"\"<$action-setfield $tiddler=\"$:/state/sidebar\" $value=\"yes\"/><$action-setfield $tiddler=\"$:/themes/jd/Material/ConfigDB\" $index=\"statelists\" $value=\"yes\"/>\"\"\">\n</$swipe>\n<$swipe class=\"jd-swipearea jd-swipearea-off\" velocity=\"0.5\" leftactions=\"\"\"<$action-setfield $tiddler=\"$:/state/sidebar\" $value=\"no\"/><$action-setfield $tiddler=\"$:/themes/jd/Material/ConfigDB\" $index=\"statelists\" $value=\"no\"/>\"\"\">\n</$swipe>\n</$list>\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible FABitem\">\n<$list filter=\"[[$:/plugins/tiddlywiki/hammerjs][$:/plugins/BurningTree/hammerwidgets]!is[missing]]\" variable =\"checker\">\n<$swipe class=\"FAB-wrapper\" velocity=\"0.1\" upactions=\"\"\"<$action-setfield $tiddler=\"$:/state/FABs\" $value=\"yes\"/>\"\"\">\n<$tap actions=\"\"\"<$action-setfield $tiddler=\"$:/state/FABs\" $value=\"no\"/>\"\"\">\n<div class=\"FAB-wrapper\">\n<$transclude tiddler={{$:/themes/jd/Material/ConfigDB##fab}}/>\n</div>\n</$tap>\n</$swipe>\n<$reveal type=\"match\" state=\"$:/state/FABs\" text=\"yes\" animate=\"yes\" retain=\"yes\" tag=\"div\" class=\"animated slideInUp\">\n<$swipe class=\"FABs-wrapper\" velocity=\"0.1\" downactions=\"\"\"<$action-setfield $tiddler=\"$:/state/FABs\" $value=\"no\"/>\"\"\">\n<$tap actions=\"\"\"<$action-setfield $tiddler=\"$:/state/FABs\" $value=\"no\"/>\"\"\">\n<$transclude tiddler={{$:/themes/jd/Material/ConfigDB##fab1}}/>\n<$transclude tiddler={{$:/themes/jd/Material/ConfigDB##fab2}}/>\n<$transclude tiddler={{$:/themes/jd/Material/ConfigDB##fab3}}/>\n<$transclude tiddler={{$:/themes/jd/Material/ConfigDB##fab4}}/>\n<$transclude tiddler={{$:/themes/jd/Material/ConfigDB##fab5}}/>\n<$transclude tiddler={{$:/themes/jd/Material/ConfigDB##fab6}}/>\n</$tap>\n</$swipe>\n</$reveal>\n</$list>\n<$list filter=\"[[$:/plugins/tiddlywiki/hammerjs][$:/plugins/BurningTree/hammerwidgets]is[missing]]\" variable =\"checker\">\n<div class=\"FAB-wrapper\">\n<$transclude tiddler={{$:/themes/jd/Material/ConfigDB##fab}}/>\n</div>\n<div class=\"FABs-wrapper\">\n<$transclude tiddler={{$:/themes/jd/Material/ConfigDB##fab1}}/>\n<$transclude tiddler={{$:/themes/jd/Material/ConfigDB##fab2}}/>\n<$transclude tiddler={{$:/themes/jd/Material/ConfigDB##fab3}}/>\n<$transclude tiddler={{$:/themes/jd/Material/ConfigDB##fab4}}/>\n<$transclude tiddler={{$:/themes/jd/Material/ConfigDB##fab5}}/>\n<$transclude tiddler={{$:/themes/jd/Material/ConfigDB##fab6}}/>\n</div>\n</$list>\n</$set>",
            "title": "$:/themes/jd/Material/Template/Header-Sidebar",
            "tags": "$:/tags/PageTemplate",
            "modifier": "jd",
            "modified": "20180727122430818"
        },
        "$:/themes/jd/Material/readme": {
            "created": "20180331123050873",
            "creator": "jd",
            "text": "Hello, this [[TW5|https://tiddlywiki.com/]] theme is inspired by Google's ''Material Design''\n\nWhen updating, you might want to delete this config tiddler first: $:/themes/jd/Material/ConfigDB\n<br><em class=\"tc-muted\">the above shadow tiddler gets overwritten when tweaking this theme at the control panel</em>\n\nYou can always get the latest updates here:\n\nhttp://j.d.material.tiddlyspot.com/\n\nPlease report bugs / suggest anything here:\n\nhttps://github.com/jdjdjdjdjdjd/TW5-Material\n\nGoogle Groups discussion:\n\nhttps://groups.google.com/forum/#!topic/TiddlyWiki/qiS1Vs46EQw%5B1-25%5D\n\nMy other TW5 stuff:\n\nhttp://j.d.tiddlyspot.com/",
            "title": "$:/themes/jd/Material/readme",
            "modifier": "jd",
            "modified": "20180727131317409",
            "extra": "hammerwidgets"
        }
    }
}

{
    "fabmargin": "5px",
    "fabsize": "50px",
    "fabxy": "30px",
    "fab": "$:/core/ui/Buttons/new-tiddler",
    "fab1": "$:/core/ui/Buttons/control-panel",
    "fab2": "$:/core/ui/Buttons/save-wiki",
    "fab3": "",
    "fab4": "",
    "fab5": "",
    "fab6": "",
    "headerbtns": "5",
    "icon": "{{$:/core/images/menu-button}}",
    "statelists": "yes",
    "mobilepopups": "yes",
    "outlinenone": "no",
    "fabiconsize": "20px",
    "listsdefon": "yes",
    "color-primary": "#ffc114",
    "color-sidebar-tab-background": "#7d4f4a",
    "color-button-background": "#00a9c7",
    "color-tag-background": "#0522ff",
    "styledframes": "yes",
    "tiddler-width": "100%"
}

{
    "tiddlers": {
        "$:/themes/tiddlywiki/snowwhite/base": {
            "title": "$:/themes/tiddlywiki/snowwhite/base",
            "tags": "[[$:/tags/Stylesheet]]",
            "text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n.tc-sidebar-header {\n\ttext-shadow: 0 1px 0 <<colour sidebar-foreground-shadow>>;\n}\n\n.tc-tiddler-info {\n\t<<box-shadow \"inset 1px 2px 3px rgba(0,0,0,0.1)\">>\n}\n\n@media screen {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow \"1px 1px 5px rgba(0, 0, 0, 0.3)\">>\n\t}\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow none>>\n\t}\n}\n\n.tc-page-controls button svg, .tc-tiddler-controls button svg, .tc-topbar button svg {\n\t<<transition \"fill 150ms ease-in-out\">>\n}\n\n.tc-tiddler-controls button.tc-selected,\n.tc-page-controls button.tc-selected {\n\t<<filter \"drop-shadow(0px -1px 2px rgba(0,0,0,0.25))\">>\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-edit-tags {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-tiddler-frame .tc-edit-tags input.tc-edit-texteditor {\n\t<<box-shadow \"none\">>\n\tborder: none;\n\toutline: none;\n}\n\ntextarea.tc-edit-texteditor {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/editorfontfamily}};\n}\n\ncanvas.tc-edit-bitmapeditor  {\n\t<<box-shadow \"2px 2px 5px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-drop-down {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-block-dropdown {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-modal {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n}\n\n.tc-modal-footer {\n\tborder-radius: 0 0 6px 6px;\n\t<<box-shadow \"inset 0 1px 0 #fff\">>;\n}\n\n\n.tc-alert {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.6)\">>\n}\n\n.tc-notification {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n\ttext-shadow: 0 1px 0 rgba(255,255,255, 0.8);\n}\n\n.tc-sidebar-lists .tc-tab-set .tc-tab-divider {\n\tborder-top: none;\n\theight: 1px;\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.15) 0%, rgba(0,0,0,0.0) 100%\">>\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.01) 0%, rgba(0,0,0,0.1) 100%\">>\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.05) 0%, rgba(255,255,255,0.05) 100%\">>\n}\n\n.tc-message-box img {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n\n.tc-plugin-info {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n"
        }
    }
}

{
    "tiddlers": {
        "$:/themes/tiddlywiki/vanilla/themetweaks": {
            "title": "$:/themes/tiddlywiki/vanilla/themetweaks",
            "tags": "$:/tags/ControlPanel/Appearance",
            "caption": "{{$:/language/ThemeTweaks/ThemeTweaks}}",
            "text": "\\define lingo-base() $:/language/ThemeTweaks/\n\n\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n\\define backgroundimage-dropdown()\n<div class=\"tc-drop-down-wrapper\">\n<$button popup=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"\n\t$value=<<imageTitle>>\n/>\n\n\"\"\"/>\n</div>\n</$reveal>\n</div>\n\\end\n\n\\define backgroundimageattachment-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\" default=\"scroll\">\n<option value=\"scroll\"><<lingo Settings/BackgroundImageAttachment/Scroll>></option>\n<option value=\"fixed\"><<lingo Settings/BackgroundImageAttachment/Fixed>></option>\n</$select>\n\\end\n\n\\define backgroundimagesize-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\" default=\"scroll\">\n<option value=\"auto\"><<lingo Settings/BackgroundImageSize/Auto>></option>\n<option value=\"cover\"><<lingo Settings/BackgroundImageSize/Cover>></option>\n<option value=\"contain\"><<lingo Settings/BackgroundImageSize/Contain>></option>\n</$select>\n\\end\n\n<<lingo ThemeTweaks/Hint>>\n\n! <<lingo Options>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><<lingo Options/SidebarLayout>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><option value=\"fixed-fluid\"><<lingo Options/SidebarLayout/Fixed-Fluid>></option><option value=\"fluid-fixed\"><<lingo Options/SidebarLayout/Fluid-Fixed>></option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><<lingo Options/StickyTitles>></$link><br>//<<lingo Options/StickyTitles/Hint>>// |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><option value=\"no\">{{$:/language/No}}</option><option value=\"yes\">{{$:/language/Yes}}</option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><<lingo Options/CodeWrapping>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><option value=\"pre\">{{$:/language/No}}</option><option value=\"pre-wrap\">{{$:/language/Yes}}</option></$select> |\n\n! <<lingo Settings>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"><<lingo Settings/FontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\"><<lingo Settings/CodeFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\"><<lingo Settings/EditorFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"><<lingo Settings/BackgroundImage>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" default=\"\" tag=\"input\"/> |<<backgroundimage-dropdown>> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\"><<lingo Settings/BackgroundImageAttachment>></$link> |<<backgroundimageattachment-dropdown>> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\"><<lingo Settings/BackgroundImageSize>></$link> |<<backgroundimagesize-dropdown>> | |\n\n! <<lingo Metrics>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\"><<lingo Metrics/FontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\"><<lingo Metrics/LineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\"><<lingo Metrics/BodyFontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\"><<lingo Metrics/BodyLineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\"><<lingo Metrics/StoryLeft>></$link><br>//<<lingo Metrics/StoryLeft/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\"><<lingo Metrics/StoryTop>></$link><br>//<<lingo Metrics/StoryTop/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\"><<lingo Metrics/StoryRight>></$link><br>//<<lingo Metrics/StoryRight/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\"><<lingo Metrics/StoryWidth>></$link><br>//<<lingo Metrics/StoryWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"><<lingo Metrics/TiddlerWidth>></$link><br>//<<lingo Metrics/TiddlerWidth/Hint>>//<br> |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\"><<lingo Metrics/SidebarBreakpoint>></$link><br>//<<lingo Metrics/SidebarBreakpoint/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\"><<lingo Metrics/SidebarWidth>></$link><br>//<<lingo Metrics/SidebarWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\" default=\"\" tag=\"input\"/> |\n"
        },
        "$:/themes/tiddlywiki/vanilla/base": {
            "title": "$:/themes/tiddlywiki/vanilla/base",
            "tags": "[[$:/tags/Stylesheet]]",
            "text": "\\define custom-background-datauri()\n<$set name=\"background\" value={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}>\n<$list filter=\"[<background>is[image]]\">\n`background: url(`\n<$list filter=\"[<background>!has[_canonical_uri]]\">\n`\"`<$macrocall $name=\"datauri\" title={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}/>`\"`\n</$list>\n<$list filter=\"[<background>has[_canonical_uri]]\">\n`\"`<$view tiddler={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}} field=\"_canonical_uri\"/>`\"`\n</$list>\n`) center center;`\n`background-attachment: `{{$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment}}`;\n-webkit-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-moz-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-o-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\nbackground-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;`\n</$list>\n</$set>\n\\end\n\n\\define if-fluid-fixed(text,hiddenSidebarText)\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\" type=\"match\" text=\"fluid-fixed\">\n$text$\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">\n$hiddenSidebarText$\n</$reveal>\n</$reveal>\n\\end\n\n\\define if-editor-height-fixed(then,else)\n<$reveal state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"fixed\">\n$then$\n</$reveal>\n<$reveal state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"auto\">\n$else$\n</$reveal>\n\\end\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline macrocallblock\n\n/*\n** Start with the normalize CSS reset, and then belay some of its effects\n*/\n\n{{$:/themes/tiddlywiki/vanilla/reset}}\n\n*, input[type=\"search\"] {\n\tbox-sizing: border-box;\n\t-moz-box-sizing: border-box;\n\t-webkit-box-sizing: border-box;\n}\n\nhtml button {\n\tline-height: 1.2;\n\tcolor: <<colour button-foreground>>;\n\tbackground: <<colour button-background>>;\n\tborder-color: <<colour button-border>>;\n}\n\n/*\n** Basic element styles\n*/\n\nhtml {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/fontfamily}};\n\ttext-rendering: optimizeLegibility; /* Enables kerning and ligatures etc. */\n\t-webkit-font-smoothing: antialiased;\n\t-moz-osx-font-smoothing: grayscale;\n}\n\nhtml:-webkit-full-screen {\n\tbackground-color: <<colour page-background>>;\n}\n\nbody.tc-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/fontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/lineheight}};\n\tword-wrap: break-word;\n\t<<custom-background-datauri>>\n\tcolor: <<colour foreground>>;\n\tbackground-color: <<colour page-background>>;\n\tfill: <<colour foreground>>;\n}\n\n<<if-background-attachment \"\"\"\n\nbody.tc-body {\n        background-color: transparent;\n}\n\n\"\"\">>\n\nh1, h2, h3, h4, h5, h6 {\n\tline-height: 1.2;\n\tfont-weight: 300;\n}\n\npre {\n\tdisplay: block;\n\tpadding: 14px;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\tword-break: normal;\n\tword-wrap: break-word;\n\twhite-space: {{$:/themes/tiddlywiki/vanilla/options/codewrapping}};\n\tbackground-color: <<colour pre-background>>;\n\tborder: 1px solid <<colour pre-border>>;\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\ncode {\n\tcolor: <<colour code-foreground>>;\n\tbackground-color: <<colour code-background>>;\n\tborder: 1px solid <<colour code-border>>;\n\twhite-space: {{$:/themes/tiddlywiki/vanilla/options/codewrapping}};\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\nblockquote {\n\tborder-left: 5px solid <<colour blockquote-bar>>;\n\tmargin-left: 25px;\n\tpadding-left: 10px;\n\tquotes: \"\\201C\"\"\\201D\"\"\\2018\"\"\\2019\";\n}\n\nblockquote > div {\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n}\n\nblockquote.tc-big-quote {\n\tfont-family: Georgia, serif;\n\tposition: relative;\n\tbackground: <<colour pre-background>>;\n\tborder-left: none;\n\tmargin-left: 50px;\n\tmargin-right: 50px;\n\tpadding: 10px;\n    border-radius: 8px;\n}\n\nblockquote.tc-big-quote cite:before {\n\tcontent: \"\\2014 \\2009\";\n}\n\nblockquote.tc-big-quote:before {\n\tfont-family: Georgia, serif;\n\tcolor: <<colour blockquote-bar>>;\n\tcontent: open-quote;\n\tfont-size: 8em;\n\tline-height: 0.1em;\n\tmargin-right: 0.25em;\n\tvertical-align: -0.4em;\n\tposition: absolute;\n    left: -50px;\n    top: 42px;\n}\n\nblockquote.tc-big-quote:after {\n\tfont-family: Georgia, serif;\n\tcolor: <<colour blockquote-bar>>;\n\tcontent: close-quote;\n\tfont-size: 8em;\n\tline-height: 0.1em;\n\tmargin-right: 0.25em;\n\tvertical-align: -0.4em;\n\tposition: absolute;\n    right: -80px;\n    bottom: -20px;\n}\n\ndl dt {\n\tfont-weight: bold;\n\tmargin-top: 6px;\n}\n\nbutton, textarea, input, select {\n\toutline-color: <<colour primary>>;\n}\n\ntextarea,\ninput[type=text],\ninput[type=search],\ninput[type=\"\"],\ninput:not([type]) {\n\tcolor: <<colour foreground>>;\n\tbackground: <<colour background>>;\n}\n\ninput[type=\"checkbox\"] {\n  vertical-align: middle;\n}\n\n.tc-muted {\n\tcolor: <<colour muted-foreground>>;\n}\n\nsvg.tc-image-button {\n\tpadding: 0px 1px 1px 0px;\n}\n\n.tc-icon-wrapper > svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\nkbd {\n\tdisplay: inline-block;\n\tpadding: 3px 5px;\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tcolor: <<colour foreground>>;\n\tvertical-align: middle;\n\tbackground-color: <<colour background>>;\n\tborder: solid 1px <<colour muted-foreground>>;\n\tborder-bottom-color: <<colour muted-foreground>>;\n\tborder-radius: 3px;\n\tbox-shadow: inset 0 -1px 0 <<colour muted-foreground>>;\n}\n\n/*\nMarkdown likes putting code elements inside pre elements\n*/\npre > code {\n\tpadding: 0;\n\tborder: none;\n\tbackground-color: inherit;\n\tcolor: inherit;\n}\n\ntable {\n\tborder: 1px solid <<colour table-border>>;\n\twidth: auto;\n\tmax-width: 100%;\n\tcaption-side: bottom;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\t/* next 2 elements needed, since normalize 8.0.1 */\n\tborder-collapse: collapse;\n\tborder-spacing: 0;\n}\n\ntable th, table td {\n\tpadding: 0 7px 0 7px;\n\tborder-top: 1px solid <<colour table-border>>;\n\tborder-left: 1px solid <<colour table-border>>;\n}\n\ntable thead tr td, table th {\n\tbackground-color: <<colour table-header-background>>;\n\tfont-weight: bold;\n}\n\ntable tfoot tr td {\n\tbackground-color: <<colour table-footer-background>>;\n}\n\n.tc-csv-table {\n\twhite-space: nowrap;\n}\n\n.tc-tiddler-frame img,\n.tc-tiddler-frame svg,\n.tc-tiddler-frame canvas,\n.tc-tiddler-frame embed,\n.tc-tiddler-frame iframe {\n\tmax-width: 100%;\n}\n\n.tc-tiddler-body > embed,\n.tc-tiddler-body > iframe {\n\twidth: 100%;\n\theight: 600px;\n}\n\n/*\n** Links\n*/\n\nbutton.tc-tiddlylink,\na.tc-tiddlylink {\n\ttext-decoration: none;\n\tfont-weight: 500;\n\tcolor: <<colour tiddler-link-foreground>>;\n\t-webkit-user-select: inherit; /* Otherwise the draggable attribute makes links impossible to select */\n}\n\n.tc-sidebar-lists a.tc-tiddlylink {\n\tcolor: <<colour sidebar-tiddler-link-foreground>>;\n}\n\n.tc-sidebar-lists a.tc-tiddlylink:hover {\n\tcolor: <<colour sidebar-tiddler-link-foreground-hover>>;\n}\n\nbutton.tc-tiddlylink:hover,\na.tc-tiddlylink:hover {\n\ttext-decoration: underline;\n}\n\na.tc-tiddlylink-resolves {\n}\n\na.tc-tiddlylink-shadow {\n\tfont-weight: bold;\n}\n\na.tc-tiddlylink-shadow.tc-tiddlylink-resolves {\n\tfont-weight: normal;\n}\n\na.tc-tiddlylink-missing {\n\tfont-style: italic;\n}\n\na.tc-tiddlylink-external {\n\ttext-decoration: underline;\n\tcolor: <<colour external-link-foreground>>;\n\tbackground-color: <<colour external-link-background>>;\n}\n\na.tc-tiddlylink-external:visited {\n\tcolor: <<colour external-link-foreground-visited>>;\n\tbackground-color: <<colour external-link-background-visited>>;\n}\n\na.tc-tiddlylink-external:hover {\n\tcolor: <<colour external-link-foreground-hover>>;\n\tbackground-color: <<colour external-link-background-hover>>;\n}\n\n/*\n** Drag and drop styles\n*/\n\n.tc-tiddler-dragger {\n\tposition: relative;\n\tz-index: -10000;\n}\n\n.tc-tiddler-dragger-inner {\n\tposition: absolute;\n\ttop: -1000px;\n\tleft: -1000px;\n\tdisplay: inline-block;\n\tpadding: 8px 20px;\n\tfont-size: 16.9px;\n\tfont-weight: bold;\n\tline-height: 20px;\n\tcolor: <<colour dragger-foreground>>;\n\ttext-shadow: 0 1px 0 rgba(0, 0, 0, 1);\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour dragger-background>>;\n\tborder-radius: 20px;\n}\n\n.tc-tiddler-dragger-cover {\n\tposition: absolute;\n\tbackground-color: <<colour page-background>>;\n}\n\n.tc-dropzone {\n\tposition: relative;\n}\n\n.tc-dropzone.tc-dragover:before {\n\tz-index: 10000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour dropzone-background>>;\n\ttext-align: center;\n\tcontent: \"<<lingo DropMessage>>\";\n}\n\n.tc-droppable > .tc-droppable-placeholder {\n\tdisplay: none;\n}\n\n.tc-droppable.tc-dragover > .tc-droppable-placeholder {\n\tdisplay: block;\n\tborder: 2px dashed <<colour dropzone-background>>;\n}\n\n.tc-draggable {\n\tcursor: move;\n}\n\n.tc-sidebar-tab-open .tc-droppable-placeholder, .tc-tagged-draggable-list .tc-droppable-placeholder,\n.tc-links-draggable-list .tc-droppable-placeholder {\n\tline-height: 2em;\n\theight: 2em;\n}\n\n.tc-sidebar-tab-open-item {\n\tposition: relative;\n}\n\n.tc-sidebar-tab-open .tc-btn-invisible.tc-btn-mini svg {\n\tfont-size: 0.7em;\n\tfill: <<colour muted-foreground>>;\n}\n\n/*\n** Plugin reload warning\n*/\n\n.tc-plugin-reload-warning {\n\tz-index: 1000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour alert-background>>;\n\ttext-align: center;\n}\n\n/*\n** Buttons\n*/\n\nbutton svg, button img, label svg, label img {\n\tvertical-align: middle;\n}\n\n.tc-btn-invisible {\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n    \tcursor: pointer;\n\tcolor: <<colour foreground>>;\n}\n\n.tc-btn-boxed {\n\tfont-size: 0.6em;\n\tpadding: 0.2em;\n\tmargin: 1px;\n\tbackground: none;\n\tborder: 1px solid <<colour tiddler-controls-foreground>>;\n\tborder-radius: 0.25em;\n}\n\nhtml body.tc-body .tc-btn-boxed svg {\n\tfont-size: 1.6666em;\n}\n\n.tc-btn-boxed:hover {\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n}\n\nhtml body.tc-body .tc-btn-boxed:hover svg {\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded {\n\tfont-size: 0.5em;\n\tline-height: 2;\n\tpadding: 0em 0.3em 0.2em 0.4em;\n\tmargin: 1px;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n\tborder-radius: 2em;\n}\n\nhtml body.tc-body .tc-btn-rounded svg {\n\tfont-size: 1.6666em;\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded:hover {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour background>>;\n\tcolor: <<colour muted-foreground>>;\n}\n\nhtml body.tc-body .tc-btn-rounded:hover svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-icon svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-text {\n\tpadding: 0;\n\tmargin: 0;\n}\n\n/* used for documentation \"fake\" buttons */\n.tc-btn-standard {\n\tline-height: 1.8;\n\tcolor: #667;\n\tbackground-color: #e0e0e0;\n\tborder: 1px solid #888;\n\tpadding: 2px 1px 2px 1px;\n\tmargin: 1px 4px 1px 4px;\n}\n\n.tc-btn-big-green {\n\tdisplay: inline-block;\n\tpadding: 8px;\n\tmargin: 4px 8px 4px 8px;\n\tbackground: <<colour download-background>>;\n\tcolor: <<colour download-foreground>>;\n\tfill: <<colour download-foreground>>;\n\tborder: none;\n\tborder-radius: 2px;\n\tfont-size: 1.2em;\n\tline-height: 1.4em;\n\ttext-decoration: none;\n}\n\n.tc-btn-big-green svg,\n.tc-btn-big-green img {\n\theight: 2em;\n\twidth: 2em;\n\tvertical-align: middle;\n\tfill: <<colour download-foreground>>;\n}\n\n.tc-primary-btn {\n \tbackground: <<colour primary>>;\n}\n\n.tc-sidebar-lists input {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-sidebar-lists button {\n\tcolor: <<colour sidebar-button-foreground>>;\n\tfill: <<colour sidebar-button-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini {\n\tcolor: <<colour sidebar-muted-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini:hover {\n\tcolor: <<colour sidebar-muted-foreground-hover>>;\n}\n\nbutton svg.tc-image-button, button .tc-image-button img {\n\theight: 1em;\n\twidth: 1em;\n}\n\n.tc-unfold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 100%;\n\twidth: calc(100% + 2px);\n\tmargin-left: -43px;\n\ttext-align: center;\n\tborder-top: 2px solid <<colour tiddler-info-background>>;\n\tmargin-top: 4px;\n}\n\n.tc-unfold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n\tborder-top: 2px solid <<colour tiddler-info-border>>;\n}\n\n.tc-unfold-banner svg, .tc-fold-banner svg {\n\theight: 0.75em;\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-unfold-banner:hover svg, .tc-fold-banner:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n.tc-fold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 23px;\n\ttext-align: center;\n\tmargin-left: -35px;\n\ttop: 6px;\n\tbottom: 6px;\n}\n\n.tc-fold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-unfold-banner {\n\t\tposition: static;\n\t\twidth: calc(100% + 59px);\n\t}\n\n\t.tc-fold-banner {\n\t\twidth: 16px;\n\t\tmargin-left: -16px;\n\t\tfont-size: 0.75em;\n\t}\n\n}\n\n/*\n** Tags and missing tiddlers\n*/\n\n.tc-tag-list-item {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin-right: 7px;\n}\n\n.tc-tags-wrapper {\n\tmargin: 4px 0 14px 0;\n}\n\n.tc-missing-tiddler-label {\n\tfont-style: italic;\n\tfont-weight: normal;\n\tdisplay: inline-block;\n\tfont-size: 11.844px;\n\tline-height: 14px;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n}\n\nbutton.tc-tag-label, span.tc-tag-label {\n\tdisplay: inline-block;\n\tpadding: 0.16em 0.7em;\n\tfont-size: 0.9em;\n\tfont-weight: 400;\n\tline-height: 1.2em;\n\tcolor: <<colour tag-foreground>>;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour tag-background>>;\n\tborder-radius: 1em;\n}\n\n.tc-sidebar-scrollable .tc-tag-label {\n\ttext-shadow: none;\n}\n\n.tc-untagged-separator {\n\twidth: 10em;\n\tleft: 0;\n\tmargin-left: 0;\n\tborder: 0;\n\theight: 1px;\n\tbackground: <<colour tab-divider>>;\n}\n\nbutton.tc-untagged-label {\n\tbackground-color: <<colour untagged-background>>;\n}\n\n.tc-tag-label svg, .tc-tag-label img {\n\theight: 1em;\n\twidth: 1em;\n\tmargin-right: 3px; \n\tmargin-bottom: 1px;\n\tvertical-align: text-bottom;\n}\n\n.tc-edit-tags button.tc-remove-tag-button svg {\n\tfont-size: 0.7em;\n\tvertical-align: middle;\n}\n\n.tc-tag-manager-table .tc-tag-label {\n\twhite-space: normal;\n}\n\n.tc-tag-manager-tag {\n\twidth: 100%;\n}\n\nbutton.tc-btn-invisible.tc-remove-tag-button {\n\toutline: none;\n}\n\n/*\n** Page layout\n*/\n\n.tc-topbar {\n\tposition: fixed;\n\tz-index: 1200;\n}\n\n.tc-topbar-left {\n\tleft: 29px;\n\ttop: 5px;\n}\n\n.tc-topbar-right {\n\ttop: 5px;\n\tright: 29px;\n}\n\n.tc-topbar button {\n\tpadding: 8px;\n}\n\n.tc-topbar svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-topbar button:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-sidebar-header {\n\tcolor: <<colour sidebar-foreground>>;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-sidebar-header .tc-title a.tc-tiddlylink-resolves {\n\tfont-weight: 300;\n}\n\n.tc-sidebar-header .tc-sidebar-lists p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-sidebar-header .tc-missing-tiddler-label {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-advanced-search input {\n\twidth: 60%;\n}\n\n.tc-search a svg {\n\twidth: 1.2em;\n\theight: 1.2em;\n\tvertical-align: middle;\n}\n\n.tc-page-controls {\n\tmargin-top: 14px;\n\tfont-size: 1.5em;\n}\n\n.tc-page-controls .tc-drop-down {\n  font-size: 1rem;\n}\n\n.tc-page-controls button {\n\tmargin-right: 0.5em;\n}\n\n.tc-page-controls a.tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-page-controls img {\n\twidth: 1em;\n}\n\n.tc-page-controls svg {\n\tfill: <<colour sidebar-controls-foreground>>;\n}\n\n.tc-page-controls button:hover svg, .tc-page-controls a:hover svg {\n\tfill: <<colour sidebar-controls-foreground-hover>>;\n}\n\n.tc-menu-list-item {\n\twhite-space: nowrap;\n}\n\n.tc-menu-list-count {\n\tfont-weight: bold;\n}\n\n.tc-menu-list-subitem {\n\tpadding-left: 7px;\n}\n\n.tc-story-river {\n\tposition: relative;\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-sidebar-header {\n\t\tpadding: 14px;\n\t\tmin-height: 32px;\n\t\tmargin-top: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t}\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tpadding: 0;\n\t}\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-message-box {\n\t\tmargin: 21px -21px 21px -21px;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tposition: fixed;\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t\tbottom: 0;\n\t\tright: 0;\n\t\toverflow-y: auto;\n\t\toverflow-x: auto;\n\t\t-webkit-overflow-scrolling: touch;\n\t\tmargin: 0 0 0 -42px;\n\t\tpadding: 71px 0 28px 42px;\n\t}\n\n\thtml[dir=\"rtl\"] .tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tright: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t}\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/storywidth}};\n\t\tpadding: 42px 42px 42px 42px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-story-river {\n\t\twidth: calc(100% - {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}});\n\t}\n\n\">>\n\n}\n\n@media print {\n\n\tbody.tc-body {\n\t\tbackground-color: transparent;\n\t}\n\n\t.tc-sidebar-header, .tc-topbar {\n\t\tdisplay: none;\n\t}\n\n\t.tc-story-river {\n\t\tmargin: 0;\n\t\tpadding: 0;\n\t}\n\n\t.tc-story-river .tc-tiddler-frame {\n\t\tmargin: 0;\n\t\tborder: none;\n\t\tpadding: 0;\n\t}\n}\n\n/*\n** Tiddler styles\n*/\n\n.tc-tiddler-frame {\n\tposition: relative;\n\tmargin-bottom: 28px;\n\tbackground-color: <<colour tiddler-background>>;\n\tborder: 1px solid <<colour tiddler-border>>;\n}\n\n{{$:/themes/tiddlywiki/vanilla/sticky}}\n\n.tc-tiddler-info {\n\tpadding: 14px 42px 14px 42px;\n\tbackground-color: <<colour tiddler-info-background>>;\n\tborder-top: 1px solid <<colour tiddler-info-border>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-border>>;\n}\n\n.tc-tiddler-info p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-tiddler-info .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour tiddler-info-tab-background>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-tab-background>>;\n}\n\n.tc-view-field-table {\n\twidth: 100%;\n}\n\n.tc-view-field-name {\n\twidth: 1%; /* Makes this column be as narrow as possible */\n\ttext-align: right;\n\tfont-style: italic;\n\tfont-weight: 200;\n}\n\n.tc-view-field-value {\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\tpadding: 14px 14px 14px 14px;\n\t}\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -14px 0 -14px;\n\t}\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\tpadding: 28px 42px 42px 42px;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth}};\n\t\tborder-radius: 2px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\">>\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -42px 0 -42px;\n\t}\n}\n\n.tc-site-title,\n.tc-titlebar {\n\tfont-weight: 300;\n\tfont-size: 2.35em;\n\tline-height: 1.2em;\n\tcolor: <<colour tiddler-title-foreground>>;\n\tmargin: 0;\n}\n\n.tc-site-title {\n\tcolor: <<colour site-title-foreground>>;\n}\n\n.tc-tiddler-title-icon {\n\tvertical-align: middle;\n\tmargin-right: .1em;\n}\n\n.tc-system-title-prefix {\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-titlebar h2 {\n\tfont-size: 1em;\n\tdisplay: inline;\n}\n\n.tc-titlebar img {\n\theight: 1em;\n}\n\n.tc-subtitle {\n\tfont-size: 0.9em;\n\tcolor: <<colour tiddler-subtitle-foreground>>;\n\tfont-weight: 300;\n}\n\n.tc-subtitle .tc-tiddlylink {\n\tmargin-right: .3em;\n}\n\n.tc-tiddler-missing .tc-title {\n  font-style: italic;\n  font-weight: normal;\n}\n\n.tc-tiddler-frame .tc-tiddler-controls {\n\tfloat: right;\n}\n\n.tc-tiddler-controls .tc-drop-down {\n\tfont-size: 0.6em;\n}\n\n.tc-tiddler-controls .tc-drop-down .tc-drop-down {\n\tfont-size: 1em;\n}\n\n.tc-tiddler-controls > span > button,\n.tc-tiddler-controls > span > span > button,\n.tc-tiddler-controls > span > span > span > button {\n\tvertical-align: baseline;\n\tmargin-left:5px;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img,\n.tc-search button svg, .tc-search a svg {\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img {\n\theight: 0.75em;\n}\n\n.tc-search button svg, .tc-search a svg {\n    height: 1.2em;\n    width: 1.2em;\n    margin: 0 0.25em;\n}\n\n.tc-tiddler-controls button.tc-selected svg,\n.tc-page-controls button.tc-selected svg  {\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n}\n\n.tc-tiddler-controls button.tc-btn-invisible:hover svg,\n.tc-search button:hover svg, .tc-search a:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n@media print {\n\t.tc-tiddler-controls {\n\t\tdisplay: none;\n\t}\n}\n\n.tc-tiddler-help { /* Help prompts within tiddler template */\n\tcolor: <<colour muted-foreground>>;\n\tmargin-top: 14px;\n}\n\n.tc-tiddler-help a.tc-tiddlylink {\n\tcolor: <<colour very-muted-foreground>>;\n}\n\n.tc-tiddler-frame .tc-edit-texteditor {\n\twidth: 100%;\n\tmargin: 4px 0 4px 0;\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor,\n.tc-tiddler-frame textarea.tc-edit-texteditor,\n.tc-tiddler-frame iframe.tc-edit-texteditor {\n\tpadding: 3px 3px 3px 3px;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tbackground-color: <<colour tiddler-editor-background>>;\n\tline-height: 1.3em;\n\t-webkit-appearance: none;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/editorfontfamily}};\n}\n\n.tc-tiddler-frame .tc-binary-warning {\n\twidth: 100%;\n\theight: 5em;\n\ttext-align: center;\n\tpadding: 3em 3em 6em 3em;\n\tbackground: <<colour alert-background>>;\n\tborder: 1px solid <<colour alert-border>>;\n}\n\ncanvas.tc-edit-bitmapeditor  {\n\tborder: 6px solid <<colour tiddler-editor-border-image>>;\n\tcursor: crosshair;\n\t-moz-user-select: none;\n\t-webkit-user-select: none;\n\t-ms-user-select: none;\n\tmargin-top: 6px;\n\tmargin-bottom: 6px;\n}\n\n.tc-edit-bitmapeditor-width {\n\tdisplay: block;\n}\n\n.tc-edit-bitmapeditor-height {\n\tdisplay: block;\n}\n\n.tc-tiddler-body {\n\tclear: both;\n}\n\n.tc-tiddler-frame .tc-tiddler-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/bodylineheight}};\n}\n\n.tc-titlebar, .tc-tiddler-edit-title {\n\toverflow: hidden; /* https://github.com/Jermolene/TiddlyWiki5/issues/282 */\n}\n\nhtml body.tc-body.tc-single-tiddler-window {\n\tmargin: 1em;\n\tbackground: <<colour tiddler-background>>;\n}\n\n.tc-single-tiddler-window img,\n.tc-single-tiddler-window svg,\n.tc-single-tiddler-window canvas,\n.tc-single-tiddler-window embed,\n.tc-single-tiddler-window iframe {\n\tmax-width: 100%;\n}\n\n/*\n** Editor\n*/\n\n.tc-editor-toolbar {\n\tmargin-top: 8px;\n}\n\n.tc-editor-toolbar button {\n\tvertical-align: middle;\n\tbackground-color: <<colour tiddler-controls-foreground>>;\n\tcolor: <<colour tiddler-controls-foreground-selected>>;\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n\tborder-radius: 4px;\n\tpadding: 3px;\n\tmargin: 2px 0 2px 4px;\n}\n\n.tc-editor-toolbar button.tc-text-editor-toolbar-item-adjunct {\n\tmargin-left: 1px;\n\twidth: 1em;\n\tborder-radius: 8px;\n}\n\n.tc-editor-toolbar button.tc-text-editor-toolbar-item-start-group {\n\tmargin-left: 11px;\n}\n\n.tc-editor-toolbar button.tc-selected {\n\tbackground-color: <<colour primary>>;\n}\n\n.tc-editor-toolbar button svg {\n\twidth: 1.6em;\n\theight: 1.2em;\n}\n\n.tc-editor-toolbar button:hover {\n\tbackground-color: <<colour tiddler-controls-foreground-selected>>;\n\tfill: <<colour background>>;\n\tcolor: <<colour background>>;\n}\n\n.tc-editor-toolbar .tc-text-editor-toolbar-more {\n\twhite-space: normal;\n}\n\n.tc-editor-toolbar .tc-text-editor-toolbar-more button {\n\tdisplay: inline-block;\n\tpadding: 3px;\n\twidth: auto;\n}\n\n.tc-editor-toolbar .tc-search-results {\n\tpadding: 0;\n}\n\n/*\n** Adjustments for fluid-fixed mode\n*/\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n<<if-fluid-fixed text:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 0;\n\t\tposition: relative;\n\t\twidth: auto;\n\t\tleft: 0;\n\t\tmargin-left: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\tmargin-right: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tbottom: 0;\n\t\tright: 0;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\tbody.tc-body .tc-storyview-zoomin-tiddler {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 42px);\n\t}\n\n\"\"\" hiddenSidebarText:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 3em;\n\t\tmargin-right: 0;\n\t}\n\n\tbody.tc-body .tc-storyview-zoomin-tiddler {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 84px);\n\t}\n\n\"\"\">>\n\n}\n\n/*\n** Toolbar buttons\n*/\n\n.tc-page-controls svg.tc-image-new-button {\n  fill: <<colour toolbar-new-button>>;\n}\n\n.tc-page-controls svg.tc-image-options-button {\n  fill: <<colour toolbar-options-button>>;\n}\n\n.tc-page-controls svg.tc-image-save-button {\n  fill: <<colour toolbar-save-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-info-button {\n  fill: <<colour toolbar-info-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-edit-button {\n  fill: <<colour toolbar-edit-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-close-button {\n  fill: <<colour toolbar-close-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-delete-button {\n  fill: <<colour toolbar-delete-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-cancel-button {\n  fill: <<colour toolbar-cancel-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-done-button {\n  fill: <<colour toolbar-done-button>>;\n}\n\n/*\n** Tiddler edit mode\n*/\n\n.tc-tiddler-edit-frame em.tc-edit {\n\tcolor: <<colour muted-foreground>>;\n\tfont-style: normal;\n}\n\n.tc-edit-type-dropdown a.tc-tiddlylink-missing {\n\tfont-style: normal;\n}\n\n.tc-type-selector .tc-edit-typeeditor {\n\twidth: 20%;\n}\n\n.tc-edit-tags {\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tpadding: 4px 8px 4px 8px;\n}\n\n.tc-edit-add-tag {\n\tdisplay: inline-block;\n}\n\n.tc-edit-add-tag .tc-add-tag-name input {\n\twidth: 50%;\n}\n\n.tc-edit-add-tag .tc-keyboard {\n\tdisplay:inline;\n}\n\n.tc-edit-tags .tc-tag-label {\n\tdisplay: inline-block;\n}\n\n.tc-edit-tags-list {\n\tmargin: 14px 0 14px 0;\n}\n\n.tc-remove-tag-button {\n\tpadding-left: 4px;\n}\n\n.tc-tiddler-preview {\n\toverflow: auto;\n}\n\n.tc-tiddler-preview-preview {\n\tfloat: right;\n\twidth: 49%;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tmargin: 4px 0 3px 3px;\n\tpadding: 3px 3px 3px 3px;\n}\n\n<<if-editor-height-fixed then:\"\"\"\n\n.tc-tiddler-preview-preview {\n\toverflow-y: scroll;\n\theight: {{$:/config/TextEditor/EditorHeight/Height}};\n}\n\n\"\"\">>\n\n.tc-tiddler-frame .tc-tiddler-preview .tc-edit-texteditor {\n\twidth: 49%;\n}\n\n.tc-tiddler-frame .tc-tiddler-preview canvas.tc-edit-bitmapeditor {\n\tmax-width: 49%;\n}\n\n.tc-edit-fields {\n\twidth: 100%;\n}\n\n\n.tc-edit-fields table, .tc-edit-fields tr, .tc-edit-fields td {\n\tborder: none;\n\tpadding: 4px;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(odd) {\n\tbackground-color: <<colour tiddler-editor-fields-odd>>;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(even) {\n\tbackground-color: <<colour tiddler-editor-fields-even>>;\n}\n\n.tc-edit-field-name {\n\ttext-align: right;\n}\n\n.tc-edit-field-value input {\n\twidth: 100%;\n}\n\n.tc-edit-field-remove {\n}\n\n.tc-edit-field-remove svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n\tvertical-align: middle;\n}\n\n.tc-edit-field-add-name {\n\tdisplay: inline-block;\n\twidth: 15%;\n}\n\n.tc-edit-field-add-value {\n\tdisplay: inline-block;\n\twidth: 40%;\n}\n\n.tc-edit-field-add-button {\n\tdisplay: inline-block;\n\twidth: 10%;\n}\n\n/*\n** Storyview Classes\n*/\n\n.tc-viewswitcher .tc-image-button {\n\tmargin-right: .3em;\n}\n\n.tc-storyview-zoomin-tiddler {\n\tposition: absolute;\n\tdisplay: block;\n\twidth: 100%;\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-storyview-zoomin-tiddler {\n\t\twidth: calc(100% - 84px);\n\t}\n\n}\n\n/*\n** Dropdowns\n*/\n\n.tc-btn-dropdown {\n\ttext-align: left;\n}\n\n.tc-btn-dropdown svg, .tc-btn-dropdown img {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-drop-down-wrapper {\n\tposition: relative;\n}\n\n.tc-drop-down {\n\tmin-width: 380px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\ttext-shadow: none;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-drop-down {\n\tmargin-left: 14px;\n}\n\n.tc-drop-down button svg, .tc-drop-down a svg  {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down button.tc-btn-invisible:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down .tc-drop-down-info {\n\tpadding-left: 14px;\n}\n\n.tc-drop-down p {\n\tpadding: 0 14px 0 14px;\n}\n\n.tc-drop-down svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-drop-down img {\n\twidth: 1em;\n}\n\n.tc-drop-down a, .tc-drop-down button {\n\tdisplay: block;\n\tpadding: 0 14px 0 14px;\n\twidth: 100%;\n\ttext-align: left;\n\tcolor: <<colour foreground>>;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-tab-set .tc-tab-buttons button {\n\tdisplay: inline-block;\n    width: auto;\n    margin-bottom: 0px;\n    border-bottom-left-radius: 0;\n    border-bottom-right-radius: 0;\n}\n\n.tc-drop-down .tc-prompt {\n\tpadding: 0 14px;\n}\n\n.tc-drop-down .tc-chooser {\n\tborder: none;\n}\n\n.tc-drop-down .tc-chooser .tc-swatches-horiz {\n\tfont-size: 0.4em;\n\tpadding-left: 1.2em;\n}\n\n.tc-drop-down .tc-file-input-wrapper {\n\twidth: 100%;\n}\n\n.tc-drop-down .tc-file-input-wrapper button {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-drop-down a:hover, .tc-drop-down button:hover, .tc-drop-down .tc-file-input-wrapper:hover button {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-tab-buttons button {\n\tbackground-color: <<colour dropdown-tab-background>>;\n}\n\n.tc-drop-down .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour dropdown-tab-background-selected>>;\n\tborder-bottom: 1px solid <<colour dropdown-tab-background-selected>>;\n}\n\n.tc-drop-down-bullet {\n\tdisplay: inline-block;\n\twidth: 0.5em;\n}\n\n.tc-drop-down .tc-tab-contents a {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-block-dropdown-wrapper {\n\tposition: relative;\n}\n\n.tc-block-dropdown {\n\tposition: absolute;\n\tmin-width: 220px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\tz-index: 1000;\n\ttext-shadow: none;\n}\n\n.tc-block-dropdown.tc-search-drop-down {\n\tmargin-left: -12px;\n}\n\n.tc-block-dropdown a {\n\tdisplay: block;\n\tpadding: 4px 14px 4px 14px;\n}\n\n.tc-block-dropdown.tc-search-drop-down a {\n\tdisplay: block;\n\tpadding: 0px 10px 0px 10px;\n}\n\n.tc-drop-down .tc-dropdown-item-plain,\n.tc-block-dropdown .tc-dropdown-item-plain {\n\tpadding: 4px 14px 4px 7px;\n}\n\n.tc-drop-down .tc-dropdown-item,\n.tc-block-dropdown .tc-dropdown-item {\n\tpadding: 4px 14px 4px 7px;\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-block-dropdown a:hover {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-search-results {\n\tpadding: 0 7px 0 7px;\n}\n\n.tc-image-chooser, .tc-colour-chooser {\n\twhite-space: normal;\n}\n\n.tc-image-chooser a,\n.tc-colour-chooser a {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\ttext-align: center;\n\tposition: relative;\n}\n\n.tc-image-chooser a {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 2px;\n\tmargin: 2px;\n\twidth: 4em;\n\theight: 4em;\n}\n\n.tc-colour-chooser a {\n\tpadding: 3px;\n\twidth: 2em;\n\theight: 2em;\n\tvertical-align: middle;\n}\n\n.tc-image-chooser a:hover,\n.tc-colour-chooser a:hover {\n\tbackground: <<colour primary>>;\n\tpadding: 0px;\n\tborder: 3px solid <<colour primary>>;\n}\n\n.tc-image-chooser a svg,\n.tc-image-chooser a img {\n\tdisplay: inline-block;\n\twidth: auto;\n\theight: auto;\n\tmax-width: 3.5em;\n\tmax-height: 3.5em;\n\tposition: absolute;\n\ttop: 0;\n\tbottom: 0;\n\tleft: 0;\n\tright: 0;\n\tmargin: auto;\n}\n\n/*\n** Modals\n*/\n\n.tc-modal-wrapper {\n\tposition: fixed;\n\toverflow: auto;\n\toverflow-y: scroll;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 900;\n}\n\n.tc-modal-backdrop {\n\tposition: fixed;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 1000;\n\tbackground-color: <<colour modal-backdrop>>;\n}\n\n.tc-modal {\n\tz-index: 1100;\n\tbackground-color: <<colour modal-background>>;\n\tborder: 1px solid <<colour modal-border>>;\n}\n\n@media (max-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 1em;\n\t\tleft: 1em;\n\t\tright: 1em;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n@media (min-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 2em;\n\t\tleft: 25%;\n\t\twidth: 50%;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n.tc-modal-header {\n\tpadding: 9px 15px;\n\tborder-bottom: 1px solid <<colour modal-header-border>>;\n}\n\n.tc-modal-header h3 {\n\tmargin: 0;\n\tline-height: 30px;\n}\n\n.tc-modal-header img, .tc-modal-header svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-modal-body {\n\tpadding: 15px;\n}\n\n.tc-modal-footer {\n\tpadding: 14px 15px 15px;\n\tmargin-bottom: 0;\n\ttext-align: right;\n\tbackground-color: <<colour modal-footer-background>>;\n\tborder-top: 1px solid <<colour modal-footer-border>>;\n}\n\n/*\n** Notifications\n*/\n\n.tc-notification {\n\tposition: fixed;\n\ttop: 14px;\n\tright: 42px;\n\tz-index: 1300;\n\tmax-width: 280px;\n\tpadding: 0 14px 0 14px;\n\tbackground-color: <<colour notification-background>>;\n\tborder: 1px solid <<colour notification-border>>;\n}\n\n/*\n** Tabs\n*/\n\n.tc-tab-set.tc-vertical {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tab-buttons {\n\tfont-size: 0.85em;\n\tpadding-top: 1em;\n\tmargin-bottom: -2px;\n}\n\n.tc-tab-buttons.tc-vertical  {\n\tz-index: 100;\n\tdisplay: block;\n\tpadding-top: 14px;\n\tvertical-align: top;\n\ttext-align: right;\n\tmargin-bottom: inherit;\n\tmargin-right: -1px;\n\tmax-width: 33%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n}\n\n.tc-tab-buttons button.tc-tab-selected {\n\tcolor: <<colour tab-foreground-selected>>;\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-left: 1px solid <<colour tab-border-selected>>;\n\tborder-top: 1px solid <<colour tab-border-selected>>;\n\tborder-right: 1px solid <<colour tab-border-selected>>;\n}\n\n.tc-tab-buttons button {\n\tcolor: <<colour tab-foreground>>;\n\tpadding: 3px 5px 3px 5px;\n\tmargin-right: 0.3em;\n\tfont-weight: 300;\n\tborder: none;\n\tbackground: inherit;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-right: 1px solid <<colour tab-border>>;\n\tborder-top-left-radius: 2px;\n\tborder-top-right-radius: 2px;\n\tborder-bottom-left-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-tab-buttons.tc-vertical button {\n\tdisplay: block;\n\twidth: 100%;\n\tmargin-top: 3px;\n\tmargin-right: 0;\n\ttext-align: right;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tborder-right: none;\n\tborder-top-left-radius: 2px;\n\tborder-bottom-left-radius: 2px;\n\tborder-top-right-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-tab-buttons.tc-vertical button.tc-tab-selected {\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-right: 1px solid <<colour tab-background-selected>>;\n}\n\n.tc-tab-divider {\n\tborder-top: 1px solid <<colour tab-divider>>;\n}\n\n.tc-tab-divider.tc-vertical  {\n\tdisplay: none;\n}\n\n.tc-tab-content {\n\tmargin-top: 14px;\n}\n\n.tc-tab-content.tc-vertical  {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-top: 0;\n\tpadding-left: 14px;\n\tborder-left: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 70%;\n\tflex: 1 0 70%;\n\toverflow: auto;\n}\n\n.tc-sidebar-lists .tc-tab-buttons {\n\tmargin-bottom: -1px;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tcolor: <<colour sidebar-tab-foreground-selected>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border-selected>>;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button {\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tcolor: <<colour sidebar-tab-foreground>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border>>;\n}\n\n.tc-sidebar-lists .tc-tab-divider {\n\tborder-top: 1px solid <<colour sidebar-tab-divider>>;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\tdisplay: block;\n\twidth: 100%;\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tborder-top: none;\n\tborder-left: none;\n\tborder-bottom: none;\n\tborder-right: 1px solid #ccc;\n\tmargin-bottom: inherit;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tborder: none;\n}\n\n/*\n** Manager\n*/\n\n.tc-manager-wrapper {\n\t\n}\n\n.tc-manager-controls {\n\t\n}\n\n.tc-manager-control {\n\tmargin: 0.5em 0;\n}\n\n.tc-manager-list {\n\twidth: 100%;\n\tborder-top: 1px solid <<colour muted-foreground>>;\n\tborder-left: 1px solid <<colour muted-foreground>>;\n\tborder-right: 1px solid <<colour muted-foreground>>;\n}\n\n.tc-manager-list-item {\n\n}\n\n.tc-manager-list-item-heading {\n    display: block;\n    width: 100%;\n    text-align: left;\t\n\tborder-bottom: 1px solid <<colour muted-foreground>>;\n\tpadding: 3px;\n}\n\n.tc-manager-list-item-heading-selected {\n\tfont-weight: bold;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n\tbackground-color: <<colour foreground>>;\n}\n\n.tc-manager-list-item-heading:hover {\n\tbackground: <<colour primary>>;\n\tcolor: <<colour background>>;\n}\n\n.tc-manager-list-item-content {\n\tdisplay: flex;\n}\n\n.tc-manager-list-item-content-sidebar {\n    flex: 1 0;\n    background: <<colour tiddler-editor-background>>;\n    border-right: 0.5em solid <<colour muted-foreground>>;\n    border-bottom: 0.5em solid <<colour muted-foreground>>;\n    white-space: nowrap;\n}\n\n.tc-manager-list-item-content-item-heading {\n\tdisplay: block;\n\twidth: 100%;\n\ttext-align: left;\n    background: <<colour muted-foreground>>;\n\ttext-transform: uppercase;\n\tfont-size: 0.6em;\n\tfont-weight: bold;\n    padding: 0.5em 0 0.5em 0;\n}\n\n.tc-manager-list-item-content-item-body {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-manager-list-item-content-item-body > pre {\n\tmargin: 0.5em 0 0.5em 0;\n\tborder: none;\n\tbackground: inherit;\n}\n\n.tc-manager-list-item-content-tiddler {\n    flex: 3 1;\n    border-left: 0.5em solid <<colour muted-foreground>>;\n    border-right: 0.5em solid <<colour muted-foreground>>;\n    border-bottom: 0.5em solid <<colour muted-foreground>>;\n}\n\n.tc-manager-list-item-content-item-body > table {\n\tborder: none;\n\tpadding: 0;\n\tmargin: 0;\n}\n\n.tc-manager-list-item-content-item-body > table td {\n\tborder: none;\n}\n\n.tc-manager-icon-editor > button {\n\twidth: 100%;\n}\n\n.tc-manager-icon-editor > button > svg,\n.tc-manager-icon-editor > button > button {\n\twidth: 100%;\n\theight: auto;\n}\n\n/*\n** Alerts\n*/\n\n.tc-alerts {\n\tposition: fixed;\n\ttop: 28px;\n\tleft: 0;\n\tright: 0;\n\tmax-width: 50%;\n\tz-index: 20000;\n}\n\n.tc-alert {\n\tposition: relative;\n\tmargin: 14px;\n\tpadding: 7px;\n\tborder: 1px solid <<colour alert-border>>;\n\tbackground-color: <<colour alert-background>>;\n}\n\n.tc-alert-toolbar {\n\tposition: absolute;\n\ttop: 7px;\n\tright: 7px;\n    line-height: 0;\n}\n\n.tc-alert-toolbar svg {\n\tfill: <<colour alert-muted-foreground>>;\n}\n\n.tc-alert-subtitle {\n\tcolor: <<colour alert-muted-foreground>>;\n\tfont-weight: bold;\n    font-size: 0.8em;\n    margin-bottom: 0.5em;\n}\n\n.tc-alert-body > p {\n\tmargin: 0;\n}\n\n.tc-alert-highlight {\n\tcolor: <<colour alert-highlight>>;\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-static-alert {\n\t\tposition: relative;\n\t}\n\n\t.tc-static-alert-inner {\n\t\tposition: absolute;\n\t\tz-index: 100;\n\t}\n\n}\n\n.tc-static-alert-inner {\n\tpadding: 0 2px 2px 42px;\n\tcolor: <<colour static-alert-foreground>>;\n}\n\n/*\n** Floating drafts list\n*/\n\n.tc-drafts-list {\n\tz-index: 2000;\n\tposition: fixed;\n\tfont-size: 0.8em;\n\tleft: 0;\n\tbottom: 0;\n}\n\n.tc-drafts-list a {\n\tmargin: 0 0.5em;\n\tpadding: 4px 4px;\n\tborder-top-left-radius: 4px;\n\tborder-top-right-radius: 4px;\n\tborder: 1px solid <<colour background>>;\n\tborder-bottom-none;\n\tbackground: <<colour dirty-indicator>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n}\n\n.tc-drafts-list a:hover {\n\ttext-decoration: none;\n\tbackground: <<colour foreground>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n}\n\n.tc-drafts-list a svg {\n\twidth: 1em;\n\theight: 1em;\n\tvertical-align: text-bottom;\n}\n\n/*\n** Control panel\n*/\n\n.tc-control-panel td {\n\tpadding: 4px;\n}\n\n.tc-control-panel table, .tc-control-panel table input, .tc-control-panel table textarea {\n\twidth: 100%;\n}\n\n.tc-plugin-info {\n\tdisplay: flex;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tfill: <<colour muted-foreground>>;\n\tbackground-color: <<colour background>>;\n\tmargin: 0.5em 0 0.5em 0;\n\tpadding: 4px;\n    align-items: center;\n}\n\n.tc-plugin-info-sub-plugins .tc-plugin-info {\n    margin: 0.5em;\n\tbackground: <<colour background>>;\n}\n\n.tc-plugin-info-sub-plugin-indicator {\n\tmargin: -16px 1em 0 2em;\n}\n\n.tc-plugin-info-sub-plugin-indicator button {\n\tcolor: <<colour background>>;\n\tbackground: <<colour foreground>>;\n\tborder-radius: 8px;\n    padding: 2px 7px;\n    font-size: 0.75em;\n}\n\n.tc-plugin-info-sub-plugins .tc-plugin-info-dropdown {\n\tmargin-left: 1em;\n\tmargin-right: 1em;\n}\n\n.tc-plugin-info-disabled {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n\tbackground: repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n}\n\n.tc-plugin-info-disabled:hover {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n\tbackground: repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n}\n\na.tc-tiddlylink.tc-plugin-info:hover {\n\ttext-decoration: none;\n\tbackground-color: <<colour primary>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour foreground>>;\n}\n\na.tc-tiddlylink.tc-plugin-info:hover .tc-plugin-info > .tc-plugin-info-chunk > svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-plugin-info-chunk {\n    margin: 2px;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-toggle {\n\tflex-grow: 0;\n\tflex-shrink: 0;\n\tline-height: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-icon {\n\tflex-grow: 0;\n\tflex-shrink: 0;\n\tline-height: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description {\n\tflex-grow: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-buttons {\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tflex-grow: 0;\n\tflex-shrink: 0;\n    text-align: right;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description h1 {\n\tfont-size: 1em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description h2 {\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description div {\n\tfont-size: 0.7em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-toggle img, .tc-plugin-info-chunk.tc-plugin-info-toggle svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-icon img, .tc-plugin-info-chunk.tc-plugin-info-icon svg {\n\twidth: 2em;\n\theight: 2em;\n}\n\n.tc-plugin-info-dropdown {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour background>>;\n\tmargin-top: -8px;\n}\n\n.tc-plugin-info-dropdown-message {\n\tbackground: <<colour message-background>>;\n\tpadding: 0.5em 1em 0.5em 1em;\n\tfont-weight: bold;\n\tfont-size: 0.8em;\n}\n\n.tc-plugin-info-dropdown-body {\n\tpadding: 1em 1em 0 1em;\n\tbackground: <<colour background>>;\n}\n\n.tc-plugin-info-sub-plugins {\n\tpadding: 0.5em;\n    margin: 0 1em 1em 1em;\n\tbackground: <<colour notification-background>>;\n}\n\n.tc-install-plugin {\n\tfont-weight: bold;\n\tbackground: green;\n\tcolor: white;\n\tfill: white;\n\tborder-radius: 4px;\n\tpadding: 3px;\n}\n\n.tc-install-plugin.tc-reinstall-downgrade {\n\tbackground: red;\n}\n\n.tc-install-plugin.tc-reinstall {\n\tbackground: blue;\n}\n\n.tc-install-plugin.tc-reinstall-upgrade {\n\tbackground: orange;\n}\n\n.tc-check-list {\n\tline-height: 2em;\n}\n\n.tc-check-list .tc-image-button {\n\theight: 1.5em;\n}\n\n/*\n** Message boxes\n*/\n\n.tc-message-box {\n\tborder: 1px solid <<colour message-border>>;\n\tbackground: <<colour message-background>>;\n\tpadding: 0px 21px 0px 21px;\n\tfont-size: 12px;\n\tline-height: 18px;\n\tcolor: <<colour message-foreground>>;\n}\n\n.tc-message-box svg {\n\twidth: 1em;\n\theight: 1em;\n    vertical-align: text-bottom;\n}\n\n/*\n** Pictures\n*/\n\n.tc-bordered-image {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 5px;\n\tmargin: 5px;\n}\n\n/*\n** Floats\n*/\n\n.tc-float-right {\n\tfloat: right;\n}\n\n/*\n** Chooser\n*/\n\n.tc-chooser {\n\tborder-right: 1px solid <<colour table-header-background>>;\n\tborder-left: 1px solid <<colour table-header-background>>;\n}\n\n\n.tc-chooser-item {\n\tborder-bottom: 1px solid <<colour table-header-background>>;\n\tborder-top: 1px solid <<colour table-header-background>>;\n\tpadding: 2px 4px 2px 14px;\n}\n\n.tc-drop-down .tc-chooser-item {\n\tpadding: 2px;\n}\n\n.tc-chosen,\n.tc-chooser-item:hover {\n\tbackground-color: <<colour table-header-background>>;\n\tborder-color: <<colour table-footer-background>>;\n}\n\n.tc-chosen .tc-tiddlylink {\n\tcursor:default;\n}\n\n.tc-chooser-item .tc-tiddlylink {\n\tdisplay: block;\n\ttext-decoration: none;\n\tbackground-color: transparent;\n}\n\n.tc-chooser-item:hover .tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-chosen .tc-tiddlylink,\n.tc-drop-down .tc-chooser-item .tc-tiddlylink:hover {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-chosen > .tc-tiddlylink:before {\n\tmargin-left: -10px;\n\tposition: relative;\n\tcontent: \"» \";\n}\n\n.tc-chooser-item svg,\n.tc-chooser-item img{\n\twidth: 1em;\n\theight: 1em;\n\tvertical-align: middle;\n}\n\n.tc-language-chooser .tc-image-button img {\n\twidth: 2em;\n\tvertical-align: -0.15em;\n}\n\n/*\n** Palette swatches\n*/\n\n.tc-swatches-horiz {\n}\n\n.tc-swatches-horiz .tc-swatch {\n\tdisplay: inline-block;\n}\n\n.tc-swatch {\n\twidth: 2em;\n\theight: 2em;\n\tmargin: 0.4em;\n\tborder: 1px solid #888;\n}\n\ninput.tc-palette-manager-colour-input {\n\twidth: 100%;\n\tpadding: 0;\n}\n\n/*\n** Table of contents\n*/\n\n.tc-sidebar-lists .tc-table-of-contents {\n\twhite-space: nowrap;\n}\n\n.tc-table-of-contents button {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents svg {\n\twidth: 0.7em;\n\theight: 0.7em;\n\tvertical-align: middle;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents ol {\n\tlist-style-type: none;\n\tpadding-left: 0;\n}\n\n.tc-table-of-contents ol ol {\n\tpadding-left: 1em;\n}\n\n.tc-table-of-contents li {\n\tfont-size: 1.0em;\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li a {\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li li {\n\tfont-size: 0.95em;\n\tfont-weight: normal;\n\tline-height: 1.4;\n}\n\n.tc-table-of-contents li li a {\n\tfont-weight: normal;\n}\n\n.tc-table-of-contents li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n\tline-height: 1.5;\n}\n\n.tc-table-of-contents li li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n}\n\n.tc-tabbed-table-of-contents {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents {\n\tz-index: 100;\n\tdisplay: inline-block;\n\tpadding-left: 1em;\n\tmax-width: 50%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n\tbackground: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a,\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tdisplay: block;\n\tpadding: 0.12em 1em 0.12em 0.25em;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a {\n\tborder-top: 1px solid <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-background>>;\n\tborder-bottom: 1px solid <<colour tab-background>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a:hover {\n\ttext-decoration: none;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour background>>;\n\tmargin-right: -1px;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a:hover {\n\ttext-decoration: none;\n}\n\n.tc-tabbed-table-of-contents .tc-tabbed-table-of-contents-content {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-left: 1.5em;\n\tpadding-right: 1.5em;\n\tborder: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 50%;\n\tflex: 1 0 50%;\n}\n\n/*\n** Dirty indicator\n*/\n\nbody.tc-dirty span.tc-dirty-indicator, body.tc-dirty span.tc-dirty-indicator svg {\n\tfill: <<colour dirty-indicator>>;\n\tcolor: <<colour dirty-indicator>>;\n}\n\n/*\n** File inputs\n*/\n\n.tc-file-input-wrapper {\n\tposition: relative;\n\toverflow: hidden;\n\tdisplay: inline-block;\n\tvertical-align: middle;\n}\n\n.tc-file-input-wrapper input[type=file] {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tfont-size: 999px;\n\tmax-width: 100%;\n\tmax-height: 100%;\n\tfilter: alpha(opacity=0);\n\topacity: 0;\n\toutline: none;\n\tbackground: white;\n\tcursor: pointer;\n\tdisplay: inline-block;\n}\n\n/*\n** Thumbnail macros\n*/\n\n.tc-thumbnail-wrapper {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin: 6px;\n\tvertical-align: top;\n}\n\n.tc-thumbnail-right-wrapper {\n\tfloat:right;\n\tmargin: 0.5em 0 0.5em 0.5em;\n}\n\n.tc-thumbnail-image {\n\ttext-align: center;\n\toverflow: hidden;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-image svg,\n.tc-thumbnail-image img {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n\tmin-width: 100%;\n\tmin-height: 100%;\n\tmax-width: 100%;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image img {\n\tfilter: alpha(opacity=0.8);\n\topacity: 0.8;\n}\n\n.tc-thumbnail-background {\n\tposition: absolute;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-icon svg,\n.tc-thumbnail-icon img {\n\twidth: 3em;\n\theight: 3em;\n\t<<filter \"drop-shadow(2px 2px 4px rgba(0,0,0,0.3))\">>\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon img {\n\tfill: #fff;\n\t<<filter \"drop-shadow(3px 3px 4px rgba(0,0,0,0.6))\">>\n}\n\n.tc-thumbnail-icon {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tdisplay: -webkit-flex;\n\t-webkit-align-items: center;\n\t-webkit-justify-content: center;\n\tdisplay: flex;\n\talign-items: center;\n\tjustify-content: center;\n}\n\n.tc-thumbnail-caption {\n\tposition: absolute;\n\tbackground-color: #777;\n\tcolor: #fff;\n\ttext-align: center;\n\tbottom: 0;\n\twidth: 100%;\n\tfilter: alpha(opacity=0.9);\n\topacity: 0.9;\n\tline-height: 1.4;\n\tborder-bottom-left-radius: 3px;\n\tborder-bottom-right-radius: 3px;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-caption {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n}\n\n/*\n** Diffs\n*/\n\n.tc-diff-equal {\n\tbackground-color: <<colour diff-equal-background>>;\n\tcolor: <<colour diff-equal-foreground>>;\n}\n\n.tc-diff-insert {\n\tbackground-color: <<colour diff-insert-background>>;\n\tcolor: <<colour diff-insert-foreground>>;\n}\n\n.tc-diff-delete {\n\tbackground-color: <<colour diff-delete-background>>;\n\tcolor: <<colour diff-delete-foreground>>;\n}\n\n.tc-diff-invisible {\n\tbackground-color: <<colour diff-invisible-background>>;\n\tcolor: <<colour diff-invisible-foreground>>;\n}\n\n.tc-diff-tiddlers th {\n\ttext-align: right;\n\tbackground: <<colour background>>;\n\tfont-weight: normal;\n\tfont-style: italic;\n}\n\n.tc-diff-tiddlers pre {\n    margin: 0;\n    padding: 0;\n    border: none;\n    background: none;\n}\n\n/*\n** Errors\n*/\n\n.tc-error {\n\tbackground: #f00;\n\tcolor: #fff;\n}\n\n/*\n** Tree macro\n*/\n\n.tc-tree div {\n    \tpadding-left: 14px;\n}\n\n.tc-tree ol {\n    \tlist-style-type: none;\n    \tpadding-left: 0;\n    \tmargin-top: 0;\n}\n\n.tc-tree ol ol {\n    \tpadding-left: 1em;    \n}\n\n.tc-tree button { \n    \tcolor: #acacac;\n}\n\n.tc-tree svg {\n     \tfill: #acacac;\n}\n\n.tc-tree span svg {\n    \twidth: 1em;\n    \theight: 1em;\n    \tvertical-align: baseline;\n}\n\n.tc-tree li span {\n    \tcolor: lightgray;\n}\n\nselect {\n        color: <<colour select-tag-foreground>>;\n        background: <<colour select-tag-background>>;\n}\n\n/*\n** Utility classes for SVG icons\n*/\n\n.tc-fill-background {\n\tfill: <<colour background>>;\n}"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize",
            "text": "15px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/bodylineheight": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/bodylineheight",
            "text": "22px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/fontsize": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/fontsize",
            "text": "14px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/lineheight": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/lineheight",
            "text": "20px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/storyleft": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/storyleft",
            "text": "0px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/storytop": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/storytop",
            "text": "0px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/storyright": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/storyright",
            "text": "770px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/storywidth": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/storywidth",
            "text": "770px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth",
            "text": "686px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint",
            "text": "960px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth",
            "text": "350px"
        },
        "$:/themes/tiddlywiki/vanilla/options/stickytitles": {
            "title": "$:/themes/tiddlywiki/vanilla/options/stickytitles",
            "text": "no"
        },
        "$:/themes/tiddlywiki/vanilla/options/sidebarlayout": {
            "title": "$:/themes/tiddlywiki/vanilla/options/sidebarlayout",
            "text": "fixed-fluid"
        },
        "$:/themes/tiddlywiki/vanilla/options/codewrapping": {
            "title": "$:/themes/tiddlywiki/vanilla/options/codewrapping",
            "text": "pre-wrap"
        },
        "$:/themes/tiddlywiki/vanilla/reset": {
            "title": "$:/themes/tiddlywiki/vanilla/reset",
            "type": "text/plain",
            "text": "/*! normalize.css v8.0.1 | MIT License | github.com/necolas/normalize.css */\n\n/* Document\n   ========================================================================== */\n\n/**\n * 1. Correct the line height in all browsers.\n * 2. Prevent adjustments of font size after orientation changes in iOS.\n */\n\nhtml {\n  line-height: 1.15; /* 1 */\n  -webkit-text-size-adjust: 100%; /* 2 */\n}\n\n/* Sections\n   ========================================================================== */\n\n/**\n * Remove the margin in all browsers.\n */\n\nbody {\n  margin: 0;\n}\n\n/**\n * Render the `main` element consistently in IE.\n */\n\nmain {\n  display: block;\n}\n\n/**\n * Correct the font size and margin on `h1` elements within `section` and\n * `article` contexts in Chrome, Firefox, and Safari.\n */\n\nh1 {\n  font-size: 2em;\n  margin: 0.67em 0;\n}\n\n/* Grouping content\n   ========================================================================== */\n\n/**\n * 1. Add the correct box sizing in Firefox.\n * 2. Show the overflow in Edge and IE.\n */\n\nhr {\n  box-sizing: content-box; /* 1 */\n  height: 0; /* 1 */\n  overflow: visible; /* 2 */\n}\n\n/**\n * 1. Correct the inheritance and scaling of font size in all browsers.\n * 2. Correct the odd `em` font sizing in all browsers.\n */\n\npre {\n  font-family: monospace, monospace; /* 1 */\n  font-size: 1em; /* 2 */\n}\n\n/* Text-level semantics\n   ========================================================================== */\n\n/**\n * Remove the gray background on active links in IE 10.\n */\n\na {\n  background-color: transparent;\n}\n\n/**\n * 1. Remove the bottom border in Chrome 57-\n * 2. Add the correct text decoration in Chrome, Edge, IE, Opera, and Safari.\n */\n\nabbr[title] {\n  border-bottom: none; /* 1 */\n  text-decoration: underline; /* 2 */\n  text-decoration: underline dotted; /* 2 */\n}\n\n/**\n * Add the correct font weight in Chrome, Edge, and Safari.\n */\n\nb,\nstrong {\n  font-weight: bolder;\n}\n\n/**\n * 1. Correct the inheritance and scaling of font size in all browsers.\n * 2. Correct the odd `em` font sizing in all browsers.\n */\n\ncode,\nkbd,\nsamp {\n  font-family: monospace, monospace; /* 1 */\n  font-size: 1em; /* 2 */\n}\n\n/**\n * Add the correct font size in all browsers.\n */\n\nsmall {\n  font-size: 80%;\n}\n\n/**\n * Prevent `sub` and `sup` elements from affecting the line height in\n * all browsers.\n */\n\nsub,\nsup {\n  font-size: 75%;\n  line-height: 0;\n  position: relative;\n  vertical-align: baseline;\n}\n\nsub {\n  bottom: -0.25em;\n}\n\nsup {\n  top: -0.5em;\n}\n\n/* Embedded content\n   ========================================================================== */\n\n/**\n * Remove the border on images inside links in IE 10.\n */\n\nimg {\n  border-style: none;\n}\n\n/* Forms\n   ========================================================================== */\n\n/**\n * 1. Change the font styles in all browsers.\n * 2. Remove the margin in Firefox and Safari.\n */\n\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n  font-family: inherit; /* 1 */\n  font-size: 100%; /* 1 */\n  line-height: 1.15; /* 1 */\n  margin: 0; /* 2 */\n}\n\n/**\n * Show the overflow in IE.\n * 1. Show the overflow in Edge.\n */\n\nbutton,\ninput { /* 1 */\n  overflow: visible;\n}\n\n/**\n * Remove the inheritance of text transform in Edge, Firefox, and IE.\n * 1. Remove the inheritance of text transform in Firefox.\n */\n\nbutton,\nselect { /* 1 */\n  text-transform: none;\n}\n\n/**\n * Correct the inability to style clickable types in iOS and Safari.\n */\n\nbutton,\n[type=\"button\"],\n[type=\"reset\"],\n[type=\"submit\"] {\n  -webkit-appearance: button;\n}\n\n/**\n * Remove the inner border and padding in Firefox.\n */\n\nbutton::-moz-focus-inner,\n[type=\"button\"]::-moz-focus-inner,\n[type=\"reset\"]::-moz-focus-inner,\n[type=\"submit\"]::-moz-focus-inner {\n  border-style: none;\n  padding: 0;\n}\n\n/**\n * Restore the focus styles unset by the previous rule.\n */\n\nbutton:-moz-focusring,\n[type=\"button\"]:-moz-focusring,\n[type=\"reset\"]:-moz-focusring,\n[type=\"submit\"]:-moz-focusring {\n  outline: 1px dotted ButtonText;\n}\n\n/**\n * Correct the padding in Firefox.\n */\n\nfieldset {\n  padding: 0.35em 0.75em 0.625em;\n}\n\n/**\n * 1. Correct the text wrapping in Edge and IE.\n * 2. Correct the color inheritance from `fieldset` elements in IE.\n * 3. Remove the padding so developers are not caught out when they zero out\n *    `fieldset` elements in all browsers.\n */\n\nlegend {\n  box-sizing: border-box; /* 1 */\n  color: inherit; /* 2 */\n  display: table; /* 1 */\n  max-width: 100%; /* 1 */\n  padding: 0; /* 3 */\n  white-space: normal; /* 1 */\n}\n\n/**\n * Add the correct vertical alignment in Chrome, Firefox, and Opera.\n */\n\nprogress {\n  vertical-align: baseline;\n}\n\n/**\n * Remove the default vertical scrollbar in IE 10+.\n */\n\ntextarea {\n  overflow: auto;\n}\n\n/**\n * 1. Add the correct box sizing in IE 10.\n * 2. Remove the padding in IE 10.\n */\n\n[type=\"checkbox\"],\n[type=\"radio\"] {\n  box-sizing: border-box; /* 1 */\n  padding: 0; /* 2 */\n}\n\n/**\n * Correct the cursor style of increment and decrement buttons in Chrome.\n */\n\n[type=\"number\"]::-webkit-inner-spin-button,\n[type=\"number\"]::-webkit-outer-spin-button {\n  height: auto;\n}\n\n/**\n * 1. Correct the odd appearance in Chrome and Safari.\n * 2. Correct the outline style in Safari.\n */\n\n[type=\"search\"] {\n  -webkit-appearance: textfield; /* 1 */\n  outline-offset: -2px; /* 2 */\n}\n\n/**\n * Remove the inner padding in Chrome and Safari on macOS.\n */\n\n[type=\"search\"]::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\n\n/**\n * 1. Correct the inability to style clickable types in iOS and Safari.\n * 2. Change font properties to `inherit` in Safari.\n */\n\n::-webkit-file-upload-button {\n  -webkit-appearance: button; /* 1 */\n  font: inherit; /* 2 */\n}\n\n/* Interactive\n   ========================================================================== */\n\n/*\n * Add the correct display in Edge, IE 10+, and Firefox.\n */\n\ndetails {\n  display: block;\n}\n\n/*\n * Add the correct display in all browsers.\n */\n\nsummary {\n  display: list-item;\n}\n\n/* Misc\n   ========================================================================== */\n\n/**\n * Add the correct display in IE 10+.\n */\n\ntemplate {\n  display: none;\n}\n\n/**\n * Add the correct display in IE 10.\n */\n\n[hidden] {\n  display: none;\n}\n"
        },
        "$:/themes/tiddlywiki/vanilla/settings/fontfamily": {
            "title": "$:/themes/tiddlywiki/vanilla/settings/fontfamily",
            "text": "-apple-system, BlinkMacSystemFont, \"Segoe UI\", Helvetica, Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\""
        },
        "$:/themes/tiddlywiki/vanilla/settings/codefontfamily": {
            "title": "$:/themes/tiddlywiki/vanilla/settings/codefontfamily",
            "text": "\"SFMono-Regular\",Consolas,\"Liberation Mono\",Menlo,Courier,monospace"
        },
        "$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment": {
            "title": "$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment",
            "text": "fixed"
        },
        "$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize": {
            "title": "$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize",
            "text": "auto"
        },
        "$:/themes/tiddlywiki/vanilla/sticky": {
            "title": "$:/themes/tiddlywiki/vanilla/sticky",
            "text": "<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" type=\"match\" text=\"yes\">\n``\n.tc-tiddler-title {\n\tposition: -webkit-sticky;\n\tposition: -moz-sticky;\n\tposition: -o-sticky;\n\tposition: -ms-sticky;\n\tposition: sticky;\n\ttop: 0px;\n\tbackground: ``<<colour tiddler-background>>``;\n\tz-index: 500;\n}\n\n``\n<$list filter=\"[range[100]]\">\n`.tc-story-river .tc-tiddler-frame:nth-child(100n+`<$text text=<<currentTiddler>>/>`) {\nz-index: `<$text text={{{ [[200]subtract<currentTiddler>] }}}/>`;\n}\n`\n</$list>\n</$reveal>\n"
        }
    }
}

16px

15px

16px

18px

600px

fixed-fluid

classic

qdqqdqdqdqwqdd

[[https://www.researchgate.net/publication/224169778_A_Trust_Ontology_for_Semantic_Services]]

! Change log 
{{Change log}}

! Achieving GDPR Compliance of BPMN Process Models

In an increasingly digital world, where processing and exchange of personal data are key parts of everyday enterprise business processes (BPs), the right to data privacy is regulated and actively enforced in the Europe Union (EU) through the recently introduced General Data Protection Regulation (GDPR), whose aim is to protect EU citizens from privacy breaches. In this direction, GDPR is highly influencing the way organizations must approach data privacy, forcing them to rethink and upgrade their BPs in order to become GDPR compliant. For many organizations, this can be a daunting task, since little has been done so far to easily identify privacy issues in BPs. To tackle this challenge, in this paper, we provide an analysis of the main privacy constraints in GDPR and propose a set of design patterns to capturing and integrating such constraints in BP models. Using BPMN (Business Process Modeling Notation) as modeling notation, our approach allows us to achieve full transparency of privacy constraints in BPs making it possible to ensure their compliance with GDPR.

[[https://www.researchgate.net/publication/333312868_Achieving_GDPR_Compliance_of_BPMN_Process_Models]]

[[https://bitbucket.org/guerret/lu.uni.eclipse.bpmn2/src/master/resources/]]

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puPIGbP6Z6lrYo2hr7W9fVIgaOohnWNZ0PKllPqM+mRrEpdwB3NG9bOOzdopftTSTXShtK3ZkNUzy1CQocrCoAVQM9+5yT3066HSMhrGcbAi/ObwEVUMSt3t01RbVoaeqcRxjKpIflGR2zppd0VCN1nUq1dRYHzxc9Q0E9FMPPhK7o1IbuCfXB9dVDQ9PZxOe0OdgyUlqcR+bFMk0QMasQpUhnXdjB54xgntn10NiVXlOTi9gr0dn4hf0bSwQwyE0q/EBsifJztx93GcYzznGdMej6tZn+0Fn1mrS/eWtVNtkCN909vw06b1lAGcKmFZY3IAPJwD21ArsT1TH/4K36Op8PKuurri0IsCASuQGYwHO1ee7BgUHvxrH9V6awyV8IfX/c0GFmr4en9opuvuo5Oo7xPcah8gqVSPdkRoOFT98/jrUYOImJSK1/f5MUZF7XWcjBk1G6FIyeSoLf4/bVrfaVzOd5ty3OyT0xA37d0bD+VhyP8AGh30iyoicjcW3AynvVAuI6ilrQDg7Y5F5+h1lDjCPBlne5sjwK8IrA3RkVR1FaGnnrlExE7lZYARwoKnggfrqhTm3VWEVNpR+YXKRHQcxtorPtQdBR+H7UFbaKt6i3185jRZuZIWA3bSR94Y7Hv7++tFjdWbI8jDzCKnxeA5D0gJTtvtMZ/m2Ak+508B8m5SI7zimYvi4BNNHlwWRJmVZl7gMAcHBzjOhMik9/UQgYgdp5rCTCUUBflAAA7amfTUhvvB6trpkuvlR5IZipx7ZxqnbkeG4Bh0rLDsJpXwm8GGutpjr+prhJSeYuY6SmALgH+tjkD8gD+elWT+oQrFKBv5Msr006DWTMPhvaUuPid07bpVEqz18Xmo3sGyQfoNVrn1WxhaqwbFE/SGhqjS0sccVM8nAyEGs6tpUaAjK2nk2ydRRfaY6H6u8QaK0UdhtyGOlqHnlM8ypyV2jHv66vYOStFhdwYC+kOgVWEXFv8AAjxDFEkElFRK2MEmrGP0GtGvXaQmuJi44J39QhPbPs33+tlSW53WjoxjDeSpkbH1wNDs60z/APHX/M9XFrX6mhnB9mzp/wCHRJLzc3+dTLwg8wD+UHHy/nolPWcla2QoO/8AMr24lL2K4J7RHeLngT1F0RTVd6op6a607SbESEMJo97fKApzu9OQfppZlZouIDDUaYtPHbL3j48M7rc36et7y2ysSeSJPMWSMr5ZxznOs05054xyUUr5p//ZDQplbmRzdHJlYW0KZW5kb2JqCjM3IDAgb2JqCjw8Ci9UeXBlIC9Gb250Ci9TdWJ0eXBlIC9UeXBlMAovQmFzZUZvbnQgL1NvdXJjZVNhbnNQcm8tUmVndWxhcgovRW5jb2RpbmcgL0lkZW50aXR5LUgKL0Rlc2NlbmRhbnRGb250cyBbMTM4IDAgUl0KL1RvVW5pY29kZSAxMzkgMCBSCj4+CmVuZG9iagozOCAwIG9iago8PAovVHlwZSAvRm9udAovU3VidHlwZSAvVHlwZTAKL0Jhc2VGb250IC9NYXJ0ZWwtUmVndWxhcgovRW5jb2RpbmcgL0lkZW50aXR5LUgKL0Rlc2NlbmRhbnRGb250cyBbMTQwIDAgUl0KL1RvVW5pY29kZSAxNDEgMCBSCj4+CmVuZG9iagozOSAwIG9iago8PAovVHlwZSAvRm9udAovU3VidHlwZSAvVHlwZTAKL0Jhc2VGb250IC9Tb3VyY2VTYW5zUHJvLVNlbWlib2xkCi9FbmNvZGluZyAvSWRlbnRpdHktSAovRGVzY2VuZGFudEZvbnRzIFsxNDIgMCBSXQovVG9Vbmljb2RlIDE0MyAwIFIKPj4KZW5kb2JqCjQwIDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovRiA0Ci9Cb3JkZXIgWzAgMCAwXQovUmVjdCBbMjAxLjM0MjAxIDcxMi4yNjA2MiAzMzYuMjM0NSA3MjAuMjM0NTZdCi9BIDw8Ci9UeXBlIC9BY3Rpb24KL1MgL1VSSQovVVJJIChodHRwczovL3d3dy5yZXNlYXJjaGdhdGUubmV0L3B1YmxpY2F0aW9uLzMzMzMxMjg2OF9BY2hpZXZpbmdfR0RQUl9Db21wbGlhbmNlX29mX0JQTU5fUHJvY2Vzc19Nb2RlbHM/ZW5yaWNoSWQ9cmdyZXEtZTg4Zjg1ZjA1OGQyYTM3ZGQ2M2UwMDI4YTU3NjgwNmYtWFhYJmVucmljaFNvdXJjZT1ZMjkyWlhKUVlXZGxPek16TXpNeE1qZzJPRHRCVXpvM056QTRPVE15TmpFek16WTFOemRBTVRVMk1EZ3dOalk0TkRrd05RJTNEJTNEJmVsPTFfeF8yJl9lc2M9cHVibGljYXRpb25Db3ZlclBkZikKPj4KPj4KZW5kb2JqCjQxIDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovRiA0Ci9Cb3JkZXIgWzAgMCAwXQovUmVjdCBbMzkuODY5NzAxIDY3OS43MDAzMiA1NzIuMTMwMjUgNzAwLjk2NDE3XQovQSA8PAovVHlwZSAvQWN0aW9uCi9TIC9VUkkKL1VSSSAoaHR0cHM6Ly93d3cucmVzZWFyY2hnYXRlLm5ldC9wdWJsaWNhdGlvbi8zMzMzMTI4NjhfQWNoaWV2aW5nX0dEUFJfQ29tcGxpYW5jZV9vZl9CUE1OX1Byb2Nlc3NfTW9kZWxzP2VucmljaElkPXJncmVxLWU4OGY4NWYwNThkMmEzN2RkNjNlMDAyOGE1NzY4MDZmLVhYWCZlbnJpY2hTb3VyY2U9WTI5MlpYSlFZV2RsT3pNek16TXhNamcyT0R0QlV6bzNOekE0T1RNeU5qRXpNelkxTnpkQU1UVTJNRGd3TmpZNE5Ea3dOUSUzRCUzRCZlbD0xX3hfMyZfZXNjPXB1YmxpY2F0aW9uQ292ZXJQZGYpCj4+Cj4+CmVuZG9iago0MiAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0YgNAovQm9yZGVyIFswIDAgMF0KL1JlY3QgWzE2Ni43ODgyNjkgNDU5LjA4Nzk4IDIwMS4zNDIwMSA0NjguMzkwOTNdCi9BIDw8Ci9UeXBlIC9BY3Rpb24KL1MgL1VSSQovVVJJIChodHRwczovL3d3dy5yZXNlYXJjaGdhdGUubmV0L3Byb2plY3QvU3ludGhldGljLVByb2Nlc3MtTG9ncy1HZW5lcmF0aW9uP2VucmljaElkPXJncmVxLWU4OGY4NWYwNThkMmEzN2RkNjNlMDAyOGE1NzY4MDZmLVhYWCZlbnJpY2hTb3VyY2U9WTI5MlpYSlFZV2RsT3pNek16TXhNamcyT0R0QlV6bzNOekE0T1RNeU5qRXpNelkxTnpkQU1UVTJNRGd3TmpZNE5Ea3dOUSUzRCUzRCZlbD0xX3hfOSZfZXNjPXB1YmxpY2F0aW9uQ292ZXJQZGYpCj4+Cj4+CmVuZG9iago0MyAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0YgNAovQm9yZGVyIFswIDAgMF0KL1JlY3QgWzE5Mi43MDM1NyA0MjkuMTg1NyAyMjcuMjU3MzEgNDM4LjQ4ODYyXQovQSA8PAovVHlwZSAvQWN0aW9uCi9TIC9VUkkKL1VSSSAoaHR0cHM6Ly93d3cucmVzZWFyY2hnYXRlLm5ldC9wcm9qZWN0L1ByZWRpY3RpdmUtbW9uaXRvcmluZy1vZi1idXNpbmVzcy1wcm9jZXNzZXM/ZW5yaWNoSWQ9cmdyZXEtZTg4Zjg1ZjA1OGQyYTM3ZGQ2M2UwMDI4YTU3NjgwNmYtWFhYJmVucmljaFNvdXJjZT1ZMjkyWlhKUVlXZGxPek16TXpNeE1qZzJPRHRCVXpvM056QTRPVE15TmpFek16WTFOemRBTVRVMk1EZ3dOalk0TkRrd05RJTNEJTNEJmVsPTFfeF85Jl9lc2M9cHVibGljYXRpb25Db3ZlclBkZikKPj4KPj4KZW5kb2JqCjQ0IDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovRiA0Ci9Cb3JkZXIgWzAgMCAwXQovUmVjdCBbNTA5LjY2NzY5IDc0Ni4xNDk4NCA1ODEuNDMzMTcgNzU4Ljc3NTI3XQovQSA8PAovVHlwZSAvQWN0aW9uCi9TIC9VUkkKL1VSSSAoaHR0cHM6Ly93d3cucmVzZWFyY2hnYXRlLm5ldC8/ZW5yaWNoSWQ9cmdyZXEtZTg4Zjg1ZjA1OGQyYTM3ZGQ2M2UwMDI4YTU3NjgwNmYtWFhYJmVucmljaFNvdXJjZT1ZMjkyWlhKUVlXZGxPek16TXpNeE1qZzJPRHRCVXpvM056QTRPVE15TmpFek16WTFOemRBTVRVMk1EZ3dOalk0TkRrd05RJTNEJTNEJmVsPTFfeF8xJl9lc2M9cHVibGljYXRpb25Db3ZlclBkZikKPj4KPj4KZW5kb2JqCjQ1IDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovRiA0Ci9Cb3JkZXIgWzAgMCAwXQovUmVjdCBbMzkuODY5NzAxIDU0NS40NzIzNSA1OS44MDQ1NTQgNTY4LjcyOTY4XQovQSA8PAovVHlwZSAvQWN0aW9uCi9TIC9VUkkKL1VSSSAoaHR0cHM6Ly93d3cucmVzZWFyY2hnYXRlLm5ldC9wcm9maWxlL0ZhYnJpemlvX01hZ2dpP2VucmljaElkPXJncmVxLWU4OGY4NWYwNThkMmEzN2RkNjNlMDAyOGE1NzY4MDZmLVhYWCZlbnJpY2hTb3VyY2U9WTI5MlpYSlFZV2RsT3pNek16TXhNamcyT0R0QlV6bzNOekE0T1RNeU5qRXpNelkxTnpkQU1UVTJNRGd3TmpZNE5Ea3dOUSUzRCUzRCZlbD0xX3hfNCZfZXNjPXB1YmxpY2F0aW9uQ292ZXJQZGYpCj4+Cj4+CmVuZG9iago0NiAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0YgNAovQm9yZGVyIFswIDAgMF0KL1JlY3QgWzY2LjQ0OTUwOSA1NjAuMDkxMjUgMTIzLjU5NjA4NSA1NjguNzI5NjhdCi9BIDw8Ci9UeXBlIC9BY3Rpb24KL1MgL1VSSQovVVJJIChodHRwczovL3d3dy5yZXNlYXJjaGdhdGUubmV0L3Byb2ZpbGUvRmFicml6aW9fTWFnZ2k/ZW5yaWNoSWQ9cmdyZXEtZTg4Zjg1ZjA1OGQyYTM3ZGQ2M2UwMDI4YTU3NjgwNmYtWFhYJmVucmljaFNvdXJjZT1ZMjkyWlhKUVlXZGxPek16TXpNeE1qZzJPRHRCVXpvM056QTRPVE15TmpFek16WTFOemRBTVRVMk1EZ3dOalk0TkRrd05RJTNEJTNEJmVsPTFfeF81Jl9lc2M9cHVibGljYXRpb25Db3ZlclBkZikKPj4KPj4KZW5kb2JqCjQ3IDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovRiA0Ci9Cb3JkZXIgWzAgMCAwXQovUmVjdCBbNjYuNDQ5NTA5IDU0OS40NTkyOSAxNTcuNDg1MzM2IDU1OC4wOTc3Ml0KL0EgPDwKL1R5cGUgL0FjdGlvbgovUyAvVVJJCi9VUkkgKGh0dHBzOi8vd3d3LnJlc2VhcmNoZ2F0ZS5uZXQvaW5zdGl0dXRpb24vRnJlZV9Vbml2ZXJzaXR5X29mX0JvemVuLUJvbHphbm8/ZW5yaWNoSWQ9cmdyZXEtZTg4Zjg1ZjA1OGQyYTM3ZGQ2M2UwMDI4YTU3NjgwNmYtWFhYJmVucmljaFNvdXJjZT1ZMjkyWlhKUVlXZGxPek16TXpNeE1qZzJPRHRCVXpvM056QTRPVE15TmpFek16WTFOemRBTVRVMk1EZ3dOalk0TkRrd05RJTNEJTNEJmVsPTFfeF82Jl9lc2M9cHVibGljYXRpb25Db3ZlclBkZikKPj4KPj4KZW5kb2JqCjQ4IDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovRiA0Ci9Cb3JkZXIgWzAgMCAwXQovUmVjdCBbNjYuNDQ5NTA5IDUxOC44OTI1OCAxMDkuNjQxNjg1IDUzMi44NDY5Ml0KL0EgPDwKL1R5cGUgL0FjdGlvbgovUyAvVVJJCi9VUkkgKGh0dHBzOi8vd3d3LnJlc2VhcmNoZ2F0ZS5uZXQvcHJvZmlsZS9GYWJyaXppb19NYWdnaT9lbnJpY2hJZD1yZ3JlcS1lODhmODVmMDU4ZDJhMzdkZDYzZTAwMjhhNTc2ODA2Zi1YWFgmZW5yaWNoU291cmNlPVkyOTJaWEpRWVdkbE96TXpNek14TWpnMk9EdEJVem8zTnpBNE9UTXlOakV6TXpZMU56ZEFNVFUyTURnd05qWTRORGt3TlElM0QlM0QmZWw9MV94XzcmX2VzYz1wdWJsaWNhdGlvbkNvdmVyUGRmKQo+Pgo+PgplbmRvYmoKNDkgMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9GIDQKL0JvcmRlciBbMCAwIDBdCi9SZWN0IFszMDYuMzMyMjEgNTQ1LjQ3MjM1IDMyNi4yNjcwNiA1NjguNzI5NjhdCi9BIDw8Ci9UeXBlIC9BY3Rpb24KL1MgL1VSSQovVVJJIChodHRwczovL3d3dy5yZXNlYXJjaGdhdGUubmV0L3Byb2ZpbGUvQW5kcmVhX01hcnJlbGxhP2VucmljaElkPXJncmVxLWU4OGY4NWYwNThkMmEzN2RkNjNlMDAyOGE1NzY4MDZmLVhYWCZlbnJpY2hTb3VyY2U9WTI5MlpYSlFZV2RsT3pNek16TXhNamcyT0R0QlV6bzNOekE0T1RNeU5qRXpNelkxTnpkQU1UVTJNRGd3TmpZNE5Ea3dOUSUzRCUzRCZlbD0xX3hfNCZfZXNjPXB1YmxpY2F0aW9uQ292ZXJQZGYpCj4+Cj4+CmVuZG9iago1MCAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0YgNAovQm9yZGVyIFswIDAgMF0KL1JlY3QgWzMzMi45MTIwMiA1NjAuMDkxMjUgMzc2Ljc2ODcxIDU2OC43Mjk2OF0KL0EgPDwKL1R5cGUgL0FjdGlvbgovUyAvVVJJCi9VUkkgKGh0dHBzOi8vd3d3LnJlc2VhcmNoZ2F0ZS5uZXQvcHJvZmlsZS9BbmRyZWFfTWFycmVsbGE/ZW5yaWNoSWQ9cmdyZXEtZTg4Zjg1ZjA1OGQyYTM3ZGQ2M2UwMDI4YTU3NjgwNmYtWFhYJmVucmljaFNvdXJjZT1ZMjkyWlhKUVlXZGxPek16TXpNeE1qZzJPRHRCVXpvM056QTRPVE15TmpFek16WTFOemRBTVRVMk1EZ3dOalk0TkRrd05RJTNEJTNEJmVsPTFfeF81Jl9lc2M9cHVibGljYXRpb25Db3ZlclBkZikKPj4KPj4KZW5kb2JqCjUxIDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovRiA0Ci9Cb3JkZXIgWzAgMCAwXQovUmVjdCBbMzMyLjkxMjAyIDU0OS40NTkyOSA0MTEuOTg2OTQgNTU4LjA5NzcyXQovQSA8PAovVHlwZSAvQWN0aW9uCi9TIC9VUkkKL1VSSSAoaHR0cHM6Ly93d3cucmVzZWFyY2hnYXRlLm5ldC9pbnN0aXR1dGlvbi9TYXBpZW56YV9Vbml2ZXJzaXR5X29mX1JvbWU/ZW5yaWNoSWQ9cmdyZXEtZTg4Zjg1ZjA1OGQyYTM3ZGQ2M2UwMDI4YTU3NjgwNmYtWFhYJmVucmljaFNvdXJjZT1ZMjkyWlhKUVlXZGxPek16TXpNeE1qZzJPRHRCVXpvM056QTRPVE15TmpFek16WTFOemRBTVRVMk1EZ3dOalk0TkRrd05RJTNEJTNEJmVsPTFfeF82Jl9lc2M9cHVibGljYXRpb25Db3ZlclBkZikKPj4KPj4KZW5kb2JqCjUyIDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovRiA0Ci9Cb3JkZXIgWzAgMCAwXQovUmVjdCBbMzMyLjkxMjAyIDUxOC44OTI1OCAzNzYuMTA0MTkgNTMyLjg0NjkyXQovQSA8PAovVHlwZSAvQWN0aW9uCi9TIC9VUkkKL1VSSSAoaHR0cHM6Ly93d3cucmVzZWFyY2hnYXRlLm5ldC9wcm9maWxlL0FuZHJlYV9NYXJyZWxsYT9lbnJpY2hJZD1yZ3JlcS1lODhmODVmMDU4ZDJhMzdkZDYzZTAwMjhhNTc2ODA2Zi1YWFgmZW5yaWNoU291cmNlPVkyOTJaWEpRWVdkbE96TXpNek14TWpnMk9EdEJVem8zTnpBNE9UTXlOakV6TXpZMU56ZEFNVFUyTURnd05qWTRORGt3TlElM0QlM0QmZWw9MV94XzcmX2VzYz1wdWJsaWNhdGlvbkNvdmVyUGRmKQo+Pgo+PgplbmRvYmoKNTMgMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9GIDQKL0JvcmRlciBbMCAwIDBdCi9SZWN0IFsxNzYuMDkxMTkgMjkuODI0MTU4IDIxOS45NDc4NiAzOS4xMjcxMzZdCi9BIDw8Ci9UeXBlIC9BY3Rpb24KL1MgL1VSSQovVVJJIChodHRwczovL3d3dy5yZXNlYXJjaGdhdGUubmV0L3Byb2ZpbGUvQW5kcmVhX01hcnJlbGxhP2VucmljaElkPXJncmVxLWU4OGY4NWYwNThkMmEzN2RkNjNlMDAyOGE1NzY4MDZmLVhYWCZlbnJpY2hTb3VyY2U9WTI5MlpYSlFZV2RsT3pNek16TXhNamcyT0R0QlV6bzNOekE0T1RNeU5qRXpNelkxTnpkQU1UVTJNRGd3TmpZNE5Ea3dOUSUzRCUzRCZlbD0xX3hfMTAmX2VzYz1wdWJsaWNhdGlvbkNvdmVyUGRmKQo+Pgo+PgplbmRvYmoKNTQgMCBvYmoKPDwKL0xlbmd0aCA3NDMzCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeJztfduOHbmS3Xt9xX4eYPIk7yRgGJD6SPNsu4Hxe43PDAalMTz+f8BrRQTJ4C6pW33BacDobpW0c20mGYwbI4LMrCumIf89bvz/j5e7bCM+Xr+8/J8XfhNLHhfw/khxtKuUOh7/+b9e/vkfHv+BFvFqtbc4svRyXqGL8OD///2fHvrhP//15S//lB7/+n+l5xGBhRHY3d9erv7QP2i9PuOGim4zBse/1jK/h24ZEHfqB9z28ceXv3zOj/H48W+gQqYYHrwhtMePX17+y32nft/5g/7cBf8O/HzCR+L4KR/0s1wTz/hJeh2C3iPfj//6+PHfX+q48G1sCUP9+C8PDAA68eV5g2BJB1vXH7Rd/qsN0qxz/jTtvF136yGW1Tkb5o9GWdBZcCDp9KPcFPNVRiWD/U2rdxtxTnmNSJY06/QTWSGd5X6NHPoo76bnebOmpDyJ44q51HvfFD6zkXz56ceXK4ZRH1eGij2umkIW4b8DvyXOdKcrp1acUIWHw35MQBwzZP0pP8wfnVW7Yr9bjZvAtJherljHnZ1Ajcf5g3wf4lVqGhWqePBE726gvdVR3O3dOK5jh3SlXlqO8YmldnspvYzUj9GFurQpKNcoMeSet4j19nSF2nNpe175J8Ub61VyHHX8pHiFi/3pB+0COgyYWfjIf6d0v2GU5RHvd1ZZugkwZh1adPsHs8Shn6ee3yAl4t+IYRM+p2IYSY6ihMqlz9ZHtnur9se2bCdGyPuK9cPLoBivhV9x31eq/tzWVr5rJtjP/G4pdkgpPfzfVOx34GRJfYR3LEHfkyVTb6qRZMZVrhZid+Yt+tm2cT30j9iU/dmm9DTigLNwY5KH7aP+m4wF5ZNei7SLSf7TGi7JvNzfHPcduAlo72YcypwxBJMgtPhpegwbragJrM/8+cH08pN9ph5G081obbr9G436qbPznqgYFSV8LwP7O/prdhIj7UklFW74gni476iqki8onIPTsBuzaWT/GWOCHOM7OvqU4q+cSz4mk5pZWzXB/GKa8knUX6dAfkdrSWE6kPCTK6s6x3rFMlqt22v2X2c1cBZYAyBAN/5c6T+ZE+rqfMTxDodT7z7/jiygt9+RjUw37uimZJ16uEbsLTin8fEpHvjws/wr0GfyzPPvGCWEq0P5SuvfHub7wg4MBW4d9P5U2GHyRViQY+rnyr0aBYvbso2uy3HKVwqhxH3TjJa4nHip6UT3yJ5zpTuWWyAQ0fFIqR7UzPXInHnA+ht6KbkdrWaY6ELBGK/7acnPttR92Mulxj1Tu/4bInXo5dXyCK2azuzrUOsVIqIV6HcOiDz6QEyD8N2C9b/8z/b46/+WXn4m3v+W9VhH3zKi8sjjUF7j9ubsDCfDXXN2UfCY2mJLleNTQDyOpeuUp6nVAOFit8+h3VTJFLQTqF9v/SmElljEGsYf7OZ0rL85IDK9a80/obe/1I0i57maZ9VvCKSfRBBLuIIwxAnio0XBiK5Db45Xn5ZE2oVpjeS+LD+809jQ0QVEE39CY3+FpiJevUKPoPnvqqkYdjJoTxGK+bSiZOfuVwxL0Vtu1q7RegnnDbcFnNO7yA1jOu7e87FmmXv6mmua3lY86nRLn5yWOlV3kuqwGfB5tF9sM/r5F2t0b5eERZupv6NOjxutqbhOZH+MTos+Qm+vGgqy1dThHGrG6hjHgDePDbksbLvGeDdXXLlABejIWqLZV2dXFSFxG9RptOkBUcBVe03Kfg9s7YYjLVhA8o11kqHq48tLQiCTCus/G4XOFQmJicUm1aEEo6u4fry+6EdQUDJrR483dhL080YjOBX7IzV8JX0h1ayNAfcjlavAqF9ZqYg3C0zQcTDlvsY972UDMrs+MOd2Z7aOF/Jq+R6fpGzFTpF+sWXqcxQBMkdnysYbFYPOlaJ3weuRD9cgaZgxmrMxP27wlfFMHpL4ObhfvWbBqE7xUa8stwa7fkV0H2ScbghjL98CS/6Y32tiybs2Skbppze4M9YZWAaKuELPd5ae2pXoMQ6C+yVp9IG5KZCwCSNUkoGDdLpQjJNERHsgYM2kIqTgeiirPcmQO3RUtWGjUBfOQPpkV4MjoW+uj7joOla7Imx7X7/C5fTgkZCuu2bfBwSWRQWa6qS79qRg9qVER/MbkzJoE2dVhMaBnICfqpu9wxafSNVETW+lsyrCz8SSsLu1Oi94c5NRFHhlvDe6WgrMLWYqfcQ3MIk7TN2+vdlAfWEAwg0aQ70YUW5bfWfSry//xhJT7F3Ihqo3re9+ITeSDN4djCmoxTYB1XjdVANz2GP2jcYp+iIMmHfTf5rORfMaB4hZjCCDb/CVDjVLnxPCgFSHwXyF7ncClDAY8/oyr/vSjo7hgtn1nNXXOEDW5AJ/Ws23mT/68sJSt0jKoQXZBN2NKLfdU/JUBwjIbPr1BWji1DrFaGO9vZR4mRdA3mmOC2lNGNHuTxUW0uYnWCfCHc55fblNDx4yCUu9OdYrdqPAoaBAtf/AYqhO56GNWNJJebl6XtdvvB7mIhMEICMeGMlywPLDr+7W0MQ69vzh8sD2WopdgN5lo0F8kS0yW5IbwzRbp/vfELgszs87py23r0mYkqcTUPaC7Ax+fPFkcD2lw5oi8A6mYNkWqhz4Sp0xKhyMeDrR42OtUVoNsBUHbFrXg6zEkkdbipMm5r3ckekTeH1P9xsmUxl56sLk1Ljlq6mr3WiDndyqOvA9ZoAbQ5dTghu1gWpeC27heuAA49fri4Ogeer5H4jWZfqNrImy/JRHu3WvqXsQo0LRSNbZFurSFKwWWgSCgwxPjzCmmIRqWfWiQ99eGhf7Km0bPS+vb+EXyJzrN8ARtEPYepmrZKt0yebIGtcNTB1k0qNHTkOE3VSTa2EpzxS7ii6MEGTuvIKODGkWxFMjIGqy5lOtGQrYFXRbQ4d5DRKyTKXRioRGKCvNCpKXtXABIoN0y2Ix26A72oq4HtOnCluN2ggrTJb74LyL+i2F3giZBiUIFnfd08uiJxXvw7UZtqCwszjtH7oncVFhvHCq6NfUlrY50DkJboc6s8pmK82GoYfq2qPzy0jQYIyiMN4xEw49PXtmBPDLYS/XzMEsSDD3O+BcRtz+eQSNbJbL7l1jq+j888a8f3bo8s8HRv8MoBTRu+Wfw11XpDt9NDGTxHbSJ0jiPOLctIPNTztuQGqQRM5tOerOqKOZo+4ZYWg4HfXGlqPe0HbUe7Jbkl8TOpUBbU2/lqN2ZKjj2bJwzhcdRnExp6OmZMWHHI3DjTSGa0d13tqBy2Of2BDWIqSozXlpDtGDd+Sv76dBv438c/L30HSEgb2mE2a2x7xo51QBStDJxkzFtRtAIRTovsXUNvx2wBI8Bu72hXFyPMAv3TSB0yZDut+vJYF6TkZllxkGOC+RcuEwtebZwYbhoke18BvDidF6GKmaKrIE5rKAOoQxlzl7B5s7ZX+Bk0piRqaeDlxJ5euLg7EKZJseuWKxNweGy650L1kNIGABqnfX1QDf0rhuy0mqKBv4inVi9lA0wJOElXjUEBK9dFGBEPJaMPZKxFGmMsJmbrXWQGXvHuEckAtlsRrfEoox18Z2VX9NnQ1TqA4ul9IDiN7aVvgAXW1ByFtIWPGHIq8yCXPMs1VQpw/5ZNWAiUAN1lq9sDathQwN6ckxfNVIJK8BQ2yRQRdMn76IgGKQpd4wUpdonlW8vpmOA5NNwa4thWJHTC0j8ptgarSZsUAVQYpiV75tXhHrAZq9EtxaDFhVB/xq27bNHcLKJMd1SJ7z1uFNI3eYEKTsfXLhmVeaGba5oCNvBvdgspHqWHZmHaaKA2lNDTQnLQlVBzLrXnGab9vnmjq7ZFQ7XQxv29dSEgu2LGfwSG0HcCiSX2auotMz2Prsh22sXKrL32ByfmzDdPMx7bEymVhomnkFpjB+Kl6hcdVhlo6YfbqAjXIakdU4M8XdGgZOfayHgZe83ErVAEVCt4C0yfQfziIJ4zPpK1kNqRAP1BwZHsbEap06I4xv+qGuCmzNlK1cc4Y3uVDpqiSB3pwoqyJ1ciiozwfBZFHEshjI+sDYbi6394qkd3lD1Kr3naQvYCcF7DGozwbHxVTKY0FNBD4vuf+iqcjrumtLdffkxX9zbbYqljksardQmKZGvXoLOJTvMAxZqhHpS4ru12lkWGLb3lshjRCl0Vqu6gmyEkRrGkvefdp9Y75ZtQLKqgqGbQxAq4uuOUSaZiuBXOMWwA5DuRciOYJ9XcOa+A7kNsgwNM41ecPwDhaHBgTqs6TGcBDTlpzaCRMkWfQ12xQNhKoVj7nsVCrykZpxvhFKHI7UzKE77iJnlJt7ASWYwTtZa9NKU4VlopOitcYympMk3uG6zZ/KhJNOpqjBNC3XSfUoZ7PXBa4I1mGQVLQgBRmOOUYv/GclES/bEzMyc7GIh5Wh0x32SlXz9U3Et/QZ4aiCBgS5IftKaRjc4V79DCwj2Vyqfj40esBqR3S+FP2t0tC0kDnGNqSJeCdqGNflPsWI7s3jOS0YEF88IpPRRFo+hom3hZEejkhDilROLKczAGtwGGHeKJD3BBNa9LNzFZgrnCBgxx3OCQzwNOZnH7BQLVzjLpjOZDdHYkDrhRSRYGLZPcQW7/ZU4I73mCRZV6zE2m6KffZ0sL16mSU7JGqX+rs1JRvFTdwQJ7iJMTpoVfpRwK0AnMOqxZEFEiKb/SClgv5KgPGYCsXl5LZlbSoGc/3b6icTtB0KXUyQDYkJP6iDUWwgQiJR2Cf2Ah5YNU6sXCGYjti45DO9PQrL3A9+Yv1EE3peIdax2uartDsWi37ECb1eqvDTBHqxKW/1MPs9lGPbNFeHyJJJlDyIPuMLANnfmkDM4dpRlOWBmdt3Ius+KwMLu2WX620BO4qMmZtZsn9mWwRcsblh5ioMMWuQF9WZv21Adh54XYVgXrey+uVHYmbXQrYsXBvjDkQXU9zNGHl23xci1L63OeblIobL4N3n9sWb9JipmHtSLCZpoBx5q12SL7JVOK/Xeqq9Sg7mUkkbeVd2KaiaHcCNxCJ7LLsN4g0LCcJyPwuDBypdNyAn5LcXokRw0Me5vSEjDo+8Cqk9cy1z7fIt2j80l5K6z60hFxdaraEU0xHb1Jwg5RllFYH7mFt1hLj71JcxCsItyrl9xs6QuXMj0mJKEU3lrtzaG+J+LIvhC+HUeejZNwpmisDvuX2kEJoOlZkBSTRamcUIc9nIaUNcOWOBXnCj4Ai7IuKW3uKx8iKEYG7ld5wZyOhC64ojsVp6f9RGHGr7asw9+pGGRqztQSzeOdTGCfSjFdZkxqquJBIZw80MaFVEHOoKIhyFRuJUuEqJZJZC1qWrg0zMiiBCaXUFkAm44odBrvDBOUtx+CGj3JLCBHX8kRGQlIz4IIgGmrvgEZGHUHBHtYNg0vxGSx2xlBmL7USIHYczRIiFJZd2hgOcY1atdy2rbTJplWNf+iKHQ63GQWSXOCJjQncVlZOztkGqGcWvcoeckfKVDQN8YWNCq65BpnENdHryFc1Wjbe9x13SII8k8Jguvey0waoFDktGtF5aMYNdDLrsvYrYtF0hgxymO/aNiqbbT5iala9hEO2S9ewSBjFJT2cFwwGugMFhZclb1QsKgeWFsKf8xBThVG+6rXH6BsTOWDlP34BIRRzPmIl7ROQsdQ7x+qLhQG7dabdACIqC+ybjuxwk0vyDcm1ame/9Whu4hqEvxBS6kvqW4mM5y9zc5dzpmYBT7zchKj6bwgHvrOdtd/E1cMdHxJKpx4lG8vbmeQepHdE8OxRZJBYYv9jhBWa4t3iAEuJcRyZ4EIrbzaV8HYYe3DW9Q/vcHSZN3O86pPkVucuGLmJiVRKvDyn4QnZiciJ+fW8WJR51lTH8XhFR5YbfKkqMbFVv1k5R4uqvWiK79DxRkqw7TdH5gFKbOYi04U7WtIy5k7+wYyd/o3sn32Oyk0+AUcTeKUo8D+F28nnNYH1vETlEybZLtzk0MdsZ2pOnb7v79NKyg4/kSJc9+kakCViq7uMsxsJWWr0ht4O/5uaE9hXBqsDvax0Asx38TYZuDG3W+yNBd9fP58ZQYsmtH4eJEsvCmqes4sTG1p7QAQ3hppYgjDCqiOzyrk38Z9KZQ/ztH+yM4E89b/n4jxd3+nWwGAQtlcq3wXk8RiVna2U1E8YCvWFciajpRuLF47MDGgZ//hg8ppHuJnka+koDUQBQxJ0ZTteqT7wZ6UIqIXUpw0QehgYG2ku7NT+TU7iYyWAEVhHcSGpVW0rokEf8KlImyRBbDaSRx/NLjt3yyp5BIFAQkWuXvD1kqAIgBFL4y1LakltwGMNKPuWGtNW3ZEGnjDZch5E1a5jJMXLEclXhB9KikSmC7JfHNOfSg4bFCGDDnHUoFjyPUDiM8oeLHKLzETYXIQTLtTCg5zfPcQeYWHGSiRA6EEp2iXBixUmbd6+W8LyJbs512Lm7PyTiX0PDbTbIuFoGoTQOxvZF8sA1lSEn8HJxkw6wIMR2euBqsYdPUCBzKrLNqXyMBDtB7skZy7lDypNOKeuBLZWNbJzC4vAdBTaFCJCFlUxftOS9wG71IlUN13arkOt1a9tBwVZMR+zWYDetreyeA9sqFquc8SyWOjMz3ksJchvkkpI33SnNr1o53d4/y6HgzjOQ0Jmo55z3pT8b77jmzsYPPRsvp5Ebj+bIAbtlO3A6jPXAXljEAMt+yZPe339a+2dO2N+IDdZzgB/tKTnIqUV/ur7a2fZ5/v3zfrDieGTRvs/1xOWpUP58ejqkvdnCCj9WzPYb2fLdz3X9PFug4k9saUmeK9xn0O35JyzsI+T76WkEe8AgzadV9tMIUAFONeXjhvlQAAKVEvyDzOtpgnGvh0L9Uwd8Lnc+b4a7sQC652DKZyM+sF7wRKM8ZBxnD/as1uf5AIQ8a/30RE1aQy0h/ua3FnhR1KdnzkUS8Gz2sB8jDD7PuJ5a+Ib8YI9dnwDdN/tHHX7B05mBWbQ89r67SiZXeSI66DOk8hBqnQ9OQS7NacqvedD0aUqsnKRzRsyL9edgxzsetiivM0iek/aSBD6+KRwdP8PRkX4HVg45bl19V3/XZ3efnlhJ99V/jqPvX6khD6EiRB52VI5b+HomG3krI1duMckTmbcebysJ61QRsN6DARvAykf/soCMAKsdmKpDjg0FpOi2RCLj6HAvAt5ycEKOzGFdTKxz6Ue5W79n1X3oXbJwS09yzkB6jwpyTO7MDKUkWwdCXxCYVFdpy5k0HYs3R/sk23z2+U22/MLonS5AG1ZuiyImyr47gKVlPbTkhmaRpLTWoyezpnlw1k2I1al6I1o55l75ZECgT3FskvOZSGiaZyjBDo+aFutnB7mGEYcXE0GOX7xAazaJ612qCW8vrjEAYUV/uG4Jkh3Jk0CQ7AjWmZFLmOzQ6drECM5d5sWDzCS4so6sTDR+EeZtynDjLEEOkLwUBOxoYB2YxAhneZeJk6uAQ08HJ7kqek7PPr+9OG1xjU2v0tGt6WDNk4RuKmjqOqlVFTTFdvPaNnDwYNuL49e0K8fXbYEqg7SOLJq1Onltu3aSXU6AoeLfvi+hjI3nXALnxCN9OUg+6VAEw0iigriTA05yjJNFPz4AnwsJYMmmJaYU3fpy2OtL5pF3uNfh4TfAkGfuEusvOBfZ4qjRj3WAky72u+A1ibcThc4imwO/91iI5xCOM6x3dG3w9WVPYqOsVa35bvhg4xzra7zdUfy3I5D9+RvvT8KigeAksDQW5FyB7C3eavLuE799W+3kJIuU08a6Zy4SYy8SyO66OmQYSI1VnVLnWi22MGI37yMfzUTYIJurw23aVroS0Hx0WB46mH9GuM3KQjKzRpTdbUjrRo5ttNuIW0PSscASyvDkEdzO0SYiHDHXuBzjakjzIQ3m27XLrLvurAft4cVSbyt5bFLFpnGbeKA5HbLbHNJ2R+aMjCnSZDPOdbOZfAy5BeLI26JzEzEZv35vXen70phvvJwL2hhUG/8MQf4MQf4MQf4MQZbz+R/f+YqF5+SWVCb3LhB59dAsXRR9HZG8G+qjpVtMdz98fwWAdXSWeVKX4qivoxvMWvauo3N/C9n2GL6OzsW95FLSWUjnTlYtKfpCeuzcigFbfSmd24cl91zPWrruV8aafDGduyUQKjyTq6YjYGGFlg+7+HI6CLlgkcOVvwN3N/LNnZdd6gvc5RqBZwZ8RR2BCjqLUar0u22UJ1hi8J1i1I7QrDyNzyNNMKfqquoIifimOyiZK6sD5PmewAevXV0dMVVAUIWJu8I6QB5QaiG60jpA7pZlqbc7EaTSWY8lsVtcWNbB13r76voEKRhXZvVtV0XWdbpLt0ZAKUeFfRLry8E2KczQ1Y2NAb2eFebNLF+N3nz1hesthLPKvQXmS+Jbtr56vhXhKLU7rTlaL/06el7KeNKxNddTbUpejgmaQaR8csOM5z44Z1bGp782j51Fupq7M94tOGfmS8Jf8wjfU3Pf932j5g6lXUV3mH5jvTfHo+perwZ2/JFV98J0YFfd3TtK5+tO5EAs+nXVWiuCMYAt6Xw/13MJfr6SiRYdS/K9WI1X3oZ1OnHPLVeM/y3c+n2K8cKtVYyX18jamxn1LTJWlbaydbz4zrzxFQa9r8PzYWAWG59eOfpr6/CpTRJY23evEt0vh/s7Vs6Fbbve+x1V8xLmG3x+c6W38BE84cEfWjTH4gcfHHr/5UXzUnl24WSGvL+SWxAffoaRnQ8g1mPYX8vIzvfkHTXqP7BiXiOPZo700/x8X0WBLq58VT9rvsrPGqHv7Ea+lzVkp0HENFHzyaqgiI+jS66IMfr2ySoxydJcula4hrZhoCZ2xNhLchkgMQksfa5IEITV7tJKYpxAtdyz3GklqaXmlaTiM+P3EWY75lxjZrTaFXM6SQeOQYEiTqnDU1ezJBjRz4KvRkAuEo7p8oAhkzjPllokvRmefcSYCPnMlKCmTE4ixMawbNckB2zmpfpZ89Lddicvu8+d5azBfU66qdyp057NzrD2tH0ythm087bNyJ2Obpb7bHTJZieNW3w7uyyWQYqo77RS0a0Sru1SHdfn1DGXhm5d3Fno1lk3manbx6yXETj+LGNxfDSzCkcGug3QiWYZqhPhMupfUAJHlCG1txiPGriHfRH8xGdlOlCzeyx84nIXsYHyQOZ9FLz5UBkSk1IZIx+FcO5DIuTm01OuDxF5ilLZ2+Md6C6Fe9zVwk94FqjdeLuU7Ynz1XA3F18O9xN3nRw8XeN9jdO/Y0W8WKH1i3zSOjgPT+1PWoYtqyD7b/rZVoHo1oCx1gCtI4umj+bL4WIQIz5Vw8V05PtdxSam3SQxrmS1cPXCwXwwy7daJRfblwqv64M+QorBx2j0JjCH7OkithyhkV+dG1xOcLbbxePd364y75F9QXrTuGvXexZkrzmh7YLMASlF0mLxyvWxuHqMNtnvyFpScuSbNP++te8/Y4k/Y4k/Y4n/r2OJX1fLLvSEv6GW/X6p46+vkZ1YMKf1n/nVN8+pEhf/nHyNxwov8qLgPl9D3qHL4Xy5uL6KWxtAQypULjzVcOxl3e63z/AcPgTfnqoONuZ8UXzBeHqYzb9s990rjb/60njNKWEZOY18/l6a+StWoDYhn4cG52uWf5jzuUtsKT8dK5yDfLC3/m6S+Y7bxMdszgHH+cL2bBUvvgLlOImpdZrf7R3HdBZS1niW7R9Zv/telUxypvPm7tum/vnt+lLfMD2In00kaQvy/G0k+ElPtZD+3gzgb8won37pwXpX9od7/aKk9atXpk7YG97r5dVW7rBfmbBejD3mG/vfvzh7KcqczhwlLWPkm/dKPFTzw6zbnSbni37vfo/DWKpbIvwlzzsexiYdOZPkvLpI5ScV/Ol3T222M+z6fzYtXjcNCmVuZHN0cmVhbQplbmRvYmoKNTUgMCBvYmoKPDwKL0xlbmd0aCAyODMwCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeNp9WUuT2zgOvudX+Oiuait6297bJJvMZqsym5ruqj1kcmBLtM2KLHlFuTs9v34BfKAsdys5iQRAEsQbVLzYL+LF72/e3b95+zHLF5toW5b54n63SLI8WpfFotymURIXi/t68XWZ3qyyZJ0u7yIa5Nnyt33nB9fapnEMSJd2AMI00c23+3+/iXX/tx83iy3tnZa8d7xYpUW0jTPs2u1oUZosT3032GpwXcvzePl0sC0wbsC36o7WYzh0IBoO1vW6/maVbpa2911rGmBrM5gI2DvXVhbDrt+b1v1t+CgftjF6hukts85MJkm0LfTqbUf4tEyZh1PjTHtDZynoyQ0HjH7/55c/MToy/uyVYmf4bB4drLlJ18vHZ0z/ipO8tf4WM7qMwpkLGfT2f2fX21oJOnwd8WCPVpmYsluC3arre5Jl88yXKnhjHpTM4E2y/BMTlg7wR9Oa/WVDwbI418uucZWD0MulaWvdz3xnSouZOZHqTr0zQwBUo2jLJalzRp56dpYFNWe53NX6gS/LiAc+4hnjoGaiqkiqZAe9FxNbJHm0zXPanOx0vcHm9zebbEmiKsgkTcXbHJx9VI4ZWN2syAxIiCQM0mUl4EwVyQSsyFvd4Ni1ex3i0zjWK4/YdHnhQPtY3hOHta5iC5QlLDIetF27EoZXI8cTcZDhT1fmyVa3Mk1j2z0rgGGsf/4+iG6sAnHF7w0LjgFfs2+3ijooTW/3Z76sgXsxyLa7rq/Czi98Qg+bsaze+oNRVyO6bKOHZNvlE7NhVGsMgD0zjZiIqmLEATWxvTXbHsNYrkwEGxxdmkEwHCYiMxDHYCiLecbK7A+VIolQrIqM/tw71meWBbcgoP1hq7NGHppKRAIeVkcUMJ/+uTajWZbLh7On8Oc9ZnRF4Vesi6DiNrTNX3ERv/vi6ZNEoPytWc2xOxy68/7AJOvluy/4HjuRdW0bZXu9dB7fJ5YYBd+VPzv1mvWSlIqB/XEiXflxlQ9Oe+ia2ipR1TWNeZATut4ECax/Jk8VWDZxX4pgRcf7PsE9X4k8W2J/yg1CxcPg8bhkJgHj0Q0INDxvdenJ9AMFoJPGWw6UDG7cMDQWexyMvxyzhhva+ZjTtcq+77B2Z3qNLx2+rtYY6HbPINEwOKh9OkktzFnvHm8KiomVEj70Vg083MK9uOVFlUrwNcm+zUSxLdh93wkranjeUjCnsMaevY3VfbaSE4/i0gQ89SzIyipJBwpT132IT2yqoJxwz0QPRNELyeQSTOl0bwM6vouA/S+CGR8cb15kKQKRXdWrA6RQgabqzsDb/miNP/dyLiGCn/IqXJaA5kyhP8SwWGx6rygJGXGIRrE40IwNNG5nV9Vz1VgJkSH95EkagmWGOxLgoi/MnQe+6lrO2/szwg9hQqpirAHIP1MmOwJEEZzCBPscYzgc3H3gaACseKzsP/j5IHYJTslGkxSPDD61rSlrIADQVKyNvp9f5nSC3SlTPJaoxArniuDzXYhOhLkXL2fyD/hWRs8eDvOe9ULTVCSCOdYQhRW7f8aMz7TRPmI3Tko4SKL65QGJ4giUhODLNidnK6UBpiQf3g3sksg6vYVAmaJ2Y+1DdGcNgXrOTEp79+XzHWk6Jd1xvZZyTGnrW4CYRwZ1vQRNHkoVRqjacjBgiFaAvEOjIKRIxI2Nxg0meHRdE7Ks7LsDHB5ZwCMZUAlJIrVFbxzCz6yBSOlaEtW5XQ3uaCNM/9VdAu6jpIr+FhhiNkEWocmYmtecmmUfqTnHkBHW4BgNPQwS86Dv9xYnCSU1AT+MSp9wT4ewz3xdPScmPuRKHAzQ8MpMThmL1TjpKCokyLm9cunawLcFgPwC4ZMnSDCCdj4sYOsT1aiY3A4Yrv1n/fLExbFcNd1SZaKB7TzWMspoDbxwFKv8GCCeSoBLnLkF4jjWGIRtrKl1YQe0wbS2O26XQl3LoCs/RJycYRzlTSatDFJz6w0VU1prq8tqMqYk2XfHac4LSuGUO8l5P09knyQPjrKm0cmcLslarDKLtZwBganlWipRNBbZaITZS/sglKfaqakxHisBnrAfUVrvrSKN8mCY37cfSSiXzjTdbKXrjcE4R/neD6uqMV7zXRZTXxxvrwVKRuD+RmS87nSzLCqLcTtJpWWB/FLm1/UAI8QqeRAuw1QPY61NCAfV9rryXNl65hrJpog21MfruQ+cmdZkoNa7/QyXeRkV6yRQj0xIy8scmJE9/e60k0nLMnopC0rkWsYyoxFntkQsgL+wAM51iNHwNcY8qRXzmOtoLnxIayA2upwyWvPssUWCjJ8kIW9zAHCayk8cMycGwtgqNGAvvIHNXcUqpQccNU9i7eYZYttJnSJJn4BaOdDoKO2kGF2o0xk8ZleP/ZAlGPPp7j9vP314j0myLZL4H2mcZD9JTn+QwW61jbg0HAT5onZQjZDPL7qFrRoVD/7oEBJCpifQO+OtYqW82BbBSbelSJuYf5Ys5HCNRAIokam+5iJ632lQ96yXXOJVXsRLz69DPBfF5aM9CvJkBhKttJ659rlFHMzd7nsJAYy6cnwG2JaydQWh03RnzaBVZKHVq7Aww6mKlorG46g8zE1VUb6HCLmm5O6ASko2iAgg1EhM6o5ASlSVAlQEGGvq7frvmAG61s1IeMcTtS4UN3SfMVlTLTNrqNB7Hqda6171ICsy70oFGKNqYUpqOwEwAwCQuZQJt4AEM0blSoBRgVKwxunU7YgKh6eviqliDHKhaekalB01zF87dxpRkTRWDDKHh6LujpVHlMvaxtD3ujVjCDtEMDXvHhobaur4qsq6xIrrvmeGec4VV+EgS0IzmlweoWhIiZaKnAgTrZcztj3iw1F3GvJ3kmm9St+zrr1+C5Hd9CTXNGdkXz0RtetMVDAhg7dVbwfthCvjtb9Fhs8D2ekwdr6c89FMSzf5izc0iap5wQ8+4re5+q0+mzDgZCaGQnMxESLQxyRRfK75g8C7btR7BMhdeO9lshSw1ynO6zbAyy1/2nuK4W+4rXOhpOXpdb+7YZ6U9Uqi/kbtegMv2KBp5ym6M15RcVXMcVBCzQYMEUVrnzAPL5MAjz3hhRJ6mLW7i1ao+F/TnvLkm6612VhfygCeXCoHW0cAjaLkSYbPrChl00PYyDhdMjF96TMEiOYEgW/+mXlSWyVadMfb0NDFEwuJgBnZZGyuRGRiduJyMbo+zRi8Cj4UjxkDW4eMISd2gFbmNODlYK5REk/elFd5BVF+o5cU9OswsFnjboSUqp2+k+otAsVHMQ4KbuGhhskuFyaKQo8f/dz/8pWtJ/0i2Y2dNR6/bC9JLjybN2Z8NA8PWa9KdTxGZcgIEhvCGxsHkeZch1crPT2XImqiPikbk3IBTlP9kZOl0Xa7Hn8PJUlaaDxcF8v3CEg0EgXS1+DzRQMS08D0qSB/fl2Z4k9RnOoB/9UfLWpg6ZotjgKgHMMzsVdC4/HFA2geGqurOkD41ZPUggnSEqPD61I1USHDr1tzAsiTI6/VRmP+UcQMVwIlQdtQQk6jdMaN6+RXR+08BRKvP1BeP5+uw/NpNiZKH/6kqPJRRkxtJpjFOWQIfx47/iyFDOYsUTrO4roiT6k29LZ/dAgnXDMqmXa2/OZCTN0CKHamWNETDamfGkBJdqCbCPcpSsv1hfvp/nurqwZ9BLhiZYb/8RcS+Z4/GIoLtE7dXfpAcsbxLVl8fHwDADIQXZUZ6u6flGZHlYA6u9wb2Ep+4cke+r5+HvTgUdubcpT8+Ks0fD/cv/k/gp3qpw0KZW5kc3RyZWFtCmVuZG9iago1NiAwIG9iago8PAovQ29sb3JTcGFjZSAxMjUgMCBSCi9QYXR0ZXJuIDEyNiAwIFIKL0V4dEdTdGF0ZSAxMjcgMCBSCi9Gb250IDw8Ci9GMzQgMTMyIDAgUgovRjggMTI5IDAgUgovRjU1IDEzNiAwIFIKL0YxNiAxMjggMCBSCj4+Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQo+PgplbmRvYmoKNTcgMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9Cb3JkZXIgWzAgMCAxXQovSCAvSQovQyBbMCAxIDBdCi9SZWN0IFsyODkuNDU1IDYwNS4yMDYgMjk2LjQyOCA2MTMuNjE5XQovQSA8PAovUyAvR29UbwovRCAoY2l0ZS5iYXNpbjIwMThwdXJwb3NlKQo+Pgo+PgplbmRvYmoKNTggMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9Cb3JkZXIgWzAgMCAxXQovSCAvSQovQyBbMCAxIDBdCi9SZWN0IFs0MTUuNzM5IDU0NS40MyA0MjcuNjk0IDU1My44NDNdCi9BIDw8Ci9TIC9Hb1RvCi9EIChjaXRlLkRCTFA6Y29uZi9icG0vUHVsbG9uZW5NQjE3KQo+Pgo+PgplbmRvYmoKNTkgMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9Cb3JkZXIgWzAgMCAxXQovSCAvSQovQyBbMSAwIDBdCi9SZWN0IFszOTMuNjY0IDI3OS44MSA0MDAuNjM4IDI5MC42NThdCi9BIDw8Ci9TIC9Hb1RvCi9EIChzZWN0aW9uLjEuMikKPj4KPj4KZW5kb2JqCjYwIDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovQm9yZGVyIFswIDAgMV0KL0ggL0kKL0MgWzEgMCAwXQovUmVjdCBbMjk1LjY3NCAyNTUuODk5IDMwMi42NDggMjY2Ljc0N10KL0EgPDwKL1MgL0dvVG8KL0QgKHNlY3Rpb24uMS4zKQo+Pgo+PgplbmRvYmoKNjEgMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9Cb3JkZXIgWzAgMCAxXQovSCAvSQovQyBbMSAwIDBdCi9SZWN0IFsyNzUuNzc3IDI0My45NDQgMjgyLjc1MSAyNTQuNzkyXQovQSA8PAovUyAvR29UbwovRCAoc2VjdGlvbi4xLjQpCj4+Cj4+CmVuZG9iago2MiAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0JvcmRlciBbMCAwIDFdCi9IIC9JCi9DIFsxIDAgMF0KL1JlY3QgWzQyOC4wMDggMjMxLjk4OSA0MzQuOTgyIDI0Mi44MzddCi9BIDw8Ci9TIC9Hb1RvCi9EIChzZWN0aW9uLjEuNSkKPj4KPj4KZW5kb2JqCjYzIDAgb2JqCjw8Ci9MZW5ndGggMTk1OAovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCnjafVhLk9s2Er7Pr9AtVJVEkwQf4tFO1qnZWm+8u3NLcsCQkMQyRcoAaGX+/faLL1lOTdUQaHQ3Go0PjQ+KNqdNtPn16cPL07uPKt0cwjLP083LcZMkUZiWxSYvkzCOss1Lvfk9eF9tkzI4N+Zb0522e5Wq4NdfPv8XW0nwc3+5to3uKsMj/ZHlHz5/+jdLPtt+uwcH1TYOjHMs/MSy2rQgRVlcqEBt/3z551Mk0b37eNiUEFmSY2T7QxYWKtnskywsI8WR+bP2YBslQaU7bjS16bZJEfjm+MYSfzaXHTd1V4+yBieNVHCG+bW0L+AkOQRiV/WdM18HA0uT8aabPI4q9jo4btPCQanV6OMmUjCBNcF69nEclplkVLctDCc5OBg4WtsYt2OZbv25H05n7BVBDfE1f0SxginjwBqK0C+tD2zN6mea/Rv+M+KArZeWRfAK2S8CMK/1bEsrALc3zipIMKvL8HMOH63Zv1KUJki6NTX3r7b5ts2yQHtRaLpjby/aN30Xkrc4Dcs0BZdpGB3E5b8MTJlGZYDpxK/XX2QR2NMixV3Gr/lLA+zGQf5cz30nkgpAqSmxbyxoxM7jdqNSHEGg0O5pKRXhEhUwB+Sz+jo0lvDOU2Dg+ynyxV525gbrLLKgGpzvL8aG2M2DFwIJyCUuUsE9lNgYZyC0CDLnHfcYW2A/+20b2bufHA/V2mse+yPKIhOewp3YIJgvOInZPcKdG2ynL4aApgKN2Kotbj+cQRImgfFVCF7jkHV+44OdjKAH0RwP9890fEDjCgcdwQdoqHlIjhmMYci7USgex8Sgz/6yfxTwIlOHKDj1BFs6CZQK3FArZwXGNcsY/RZxn1aEOx6+2uVuk3XPI7Xxxl4aiga6DeTlyE0OFlUk52VwangC8fq6CBC1H6yCtjIpigki2MsDzA1Je2tN5UPuPR95tOv9jiVa1FqjxXK4smheUT1Yw2O0m15bz4WVHGDZwwatBpXWqcAh09UufBS84DiBVfyFOw512nlzdSxsuqne9O1UdkBHuy98WxQjdKBxHDzFiW06CwMHCQFzWsjlkb9utLrhQWYgeJkWNg5CffcRgpyviKRUYawgfobONoOzBmkgxeVVksThQZWj3nmct29rPuUKj3lermveCFYFicBIhgv+l0poeYCTQaBS46pRn06ySpY+ri1dWGpcJlo7/mp22g9e/Ig/N7y6yjYyZchCRMtqMt25G+P/0WbiHGkM0/MUrvEC5h3LwQ1Wyjhmh6QqZTVOprJKeEcBbLKbDLlBiyXlRZlYaWCeaQoq0Os87ngEAfsgel5kXIzhW69fm7bx4wmMxxNRTCcCZZTAuBhP5x1q4jQOszieYGMRN0B1+kGoyrhrKWI2o/qNH929fQ8t4ExhoiZnIU/83PG30s7MoSzinU4w4S9J87BIk/XaheAcsC5wY76FoYNb00IVq7nbW/4KUzksYUF9pj/gzZz0AgMrm7t6ubASoBtrhyvMGbL0N39+WMSNvTWOEJaNMIDGXAvTDEpKc+rcvUYv7EZXXqxv56ZC2Zm7fde+sX1txrMBpcyx7EzX0e3OK2/nA1azQrc6xMGtIZoGrcXNxgK5FqB4GfutqSh10HulM4umc5zYrTmRRLSgy1soNxIEPPtdzU/ECQokXeiwS0hXHtJJuuDibF4wdgRiM/+A5ooXoUCWCK3BmTs7ufGgRcRwOTSf7ZAF74+ekEVKDXGJWR+uGwj9u7Rnj9KeM1dTOcBPW+DJpmUpgIWYCrbZLzQgRGQ83KEol6Mdc72YMgIO56h3rLBgXku7K/nEJF1mopOXcuk8LkqquHOv6NqVVs8sShWz9pWIOs9Q0AwqFyqlivFsE8eALtADg4cUsD26dHhh3/n83/Mn9kN3q7Y19/gCKX7ETtabCWRXOB/RZePGAlJBmYDrgt9C5f1DAyTLmIWDU0Val5XybsNRoMWE5thmubwdOIBHIdNCoUyCKS4ySTPhOCByQ4UF6zi0WBtICdLfDnjEsMccKM0XVwVmq0YqYmUIoYTfxStgZcqELs3uSQw/KODE4ivgQYkhblcKq8TGdwQOB+Xl47iLNYAaDqolt6zRru9k/NJPhmdMJLZUxN+aQSaavufvuDO7KZhuDusRCV/fA/iko2/6/T3wo+cdkci0OMjPAinQ6As7xV8AaMSaKxxwQSI/vAo5lDjsKtPBW7Vn8arc1ywbedMSlygnzoMepDx2Iu5+/Kb72JyEX9E7CFb87NckjS5TICBnHoaKzmyXqJj2d6TsfptRtrwT0ANix3P7jaIfnSAcisA8opi6mn5AmGd8tIOcGT9mV2NRVQCkxn3hFnuEJxZPy28pNT17oPUKqJvuNFSg31JQZbmQSC43Fd1dmiC4GLbXXeMubj0vKHt4A/1NgVUTY/hJ0Me/NOApfdseVBCufj36x8sT0rBoE29ilYZFnm1ieNUWqdpUl6evTyE8g1JFGosmDY12Inj3fIk3v/RP/4G/0fuosh997xfO6We1tFj8rBbDy6RIIZAoPCTxEmNxWSDGiEiufokDv5FKRiI5/5q2PDbL39s4SyAQkpnKL1Lp+OBO5/dHqqYiXAZvq7T96Avp/D/E4EadDQplbmRzdHJlYW0KZW5kb2JqCjY0IDAgb2JqCjw8Ci9Db2xvclNwYWNlIDEyNSAwIFIKL1BhdHRlcm4gMTI2IDAgUgovRXh0R1N0YXRlIDEyNyAwIFIKL0ZvbnQgPDwKL0YzNCAxMzIgMCBSCi9GOCAxMjkgMCBSCi9GNTUgMTM2IDAgUgovRjQ3IDEzNSAwIFIKPj4KL1hPYmplY3QgPDwKL0ltMSAxNDQgMCBSCj4+Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQo+PgplbmRvYmoKNjUgMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9Cb3JkZXIgWzAgMCAxXQovSCAvSQovQyBbMSAwIDBdCi9SZWN0IFsxNTQuMDk5IDM4NC4wMzggMTYxLjA3MiAzOTQuODg2XQovQSA8PAovUyAvR29UbwovRCAoZmlndXJlLjEuMSkKPj4KPj4KZW5kb2JqCjY2IDAgb2JqCjw8Ci9MZW5ndGggMjk0NAovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCnjatRnJlts28t5foSP7PQkGdzK3OB1nModJj923TA4QCUm0KbLDxZ1+8/NTGyiSkv0ymfFFKBRKQKH2AvXmuNGbn+7ePt29eRdGm0zlSRJtng4bP4xUmsSbJA+Ur+PNU7n51Yvud6GfBt4HBUAUet8f236oGlvXFSICzw68YGp1/9vT3++07P/mnZ9sfF/lcRzg7nqzC2KV65D3De93vh/E3ltT3Ie+9+nYtWNTwlZp7LUNjz89PL7HPd+8yzY5sBkkbiNfaZ3wRkS0i/zIO5megaq5DzJv6Nr7HYzlWNiSFwrEn0xztEQZe0PLC8PJMvDcVZ/v48QzxSsjTFMyaWkG42jawRZDhWzivLPHsTY43yK3yCDdWxgcTnjqiCcGIZyOs89Vc8R54PXVsan+pf2oMMw1kxVt09vfR9sUxCoQHtqOl15OLWMaa0vZdRBUaXE/xr197BVjRUSA6+xuwaIo+fex6uAcEjXgLrIOcpXFKZATGQoHBLPbv+7koCvlpJHKM0e/hUN1DAxXLHicJt7ZmqbnleFkBoZEurC8kC6sVELbtEJqGiY0ZVkRGV5o5+tIZWG6vBeKJYx9Vm8YB97zve+JWYBg+y1j9+PAdJ0Byo5hMSJ77EzNmGfTDfyH9iA0w5YBspLlSXRMSscwpj+1Yy1kRXt+rl/lL+0tlYjO4J59BUbAIJiS7wk8qRpJBnO0iuEnuIEFY7FbEVPdWVO+iuwGtxGLVf7qSHl4+yg6oRNAHjfYE9sLQ7a9MAQfMp9QYpaxIj5ZQ3OuStsZ1isSLDwNaViGsMK2wDQXW0CSqu9H2ys2uyBeBgU/UoGfMXs/Nvdh4A1gH+g+MeihIsxn/GlrGmypru0XQl8WhM6Af0b5xpnXdiWaBYLkaTDCbfiG1eGVMeyXccoWCwhwqWcyNbz8vray18GRkzJwKznF8ADiJ4sWVhZif0HlLqUU0XmIgcBW1rbc8owNiCjhH76HMQasp7E9/+vQjh2vu4ugsL5bxfCFkBMVALDzYcwluP17Rb+IHr5Wqe9k+cD8wgU/jPuP9h69YLhWQJwonU4R5zsxJuGZvQsNg+Rqu95Z07RyLRazZyWMg/ra5XZJotKMA0gQ5H/telGgvR/aZujwei3EDRhq9qBVnNQqTpPZNSPtS6gLJBsBYtIMDq9ukZ0Yg0hdg3f0PONEBQT90HZWkC6s+t6ha88Mye4Bs0ymJtwsTA20BOzH3kc4YuWgzAKb1mC7czUZ1UVBYye231vRAwVNduopAFMaxD/2o0sRTolfVxbL/n/SVZiE3iMriowRf4Cl9oa2wDQwt8yNMmf7irS7c07aSmfaQpyICshmCQHdUcSSO4MFikMH/olaWuz6MK2vNAIYl/yEv2Xuc6pg87cnUx/mipgp62EKuGC7dAfiBKyr+/Za0NppYZCgwOEe8L9AzEpYLxiqNAaxWD88Aj72r7WE9WuQ5DM1BSk7FY50WwTWTsWLqCaEXGQ5oAS6s/y5f+0HiqJnyGAF4rR3xjmwCkfspAYRBpblX9uRlQesLxqZFwBYBghNkiexM44cbkn2OHOeVsgwJeFom37srDuBLsRnvTJUEMNUeNzI6C/VcFrE0miWQjB/D52RpC7O/sXYG0powvMGK0GDA9CC/mGK1XPTvpXeMefkIUaoVOnAZ44fKYtjDsAKLYaG4cHFjaVhZL7y/WSe1GMtSkCgaKXU+2NgBDoIjnB/0O777Y3C2A+0CnXk9ny8sOFL1L0OIqkKkymIoFniGaXFxNyglHBKLUyeY5EL1sCK2gVJNqWmSV9VA0Xe2RVUWeB1ZKA1cGzYVkvGUw2WhVhe4PBMUcilTkCQT7EmYDbXBLkZYam2wc1Ip0ZOlMjCJJeCCC/EZQjQlNBZFMNtk2up1NZwlYkKNtoycjhBR3g8SY0Mt+JISpX5/OZAijew6qjkn4bJGnO2DtPIPxc8FrMtCD2eUeh7EdD2Fsu1uN9UyLK2twy2TQ25kGE+K3Xy6HqhsUOhULCKp/NyPcTiFLagMo2nK6lOu0BPUI+lpE/f+/nxVucJHVLH7Qdke87eABR8hfYTlHtbRr1Udc1Q0+JpLzy56FejeR0NlMGyiZFdZ4WYkS0kCgBUHXjkEERnkybWW4PQuHUob4l8b6g0+IRFSy4du3ZVjMuPCC2DCFG5LgrSbIXPFsex6k9cHGFu7qxswrlALiPLVKjDHjOHwSvSZqRy8vAUquI8DTP08DDyVQjtcqgSP3HPHFdxYOfIdn4MZZcEM2suBVA0C8YSUEvUfwim4h4JkKq2n0ls9TKvX7qmP13Nx/9t8r4EPKzoH24HvBB29lelPL9ySMv3XNnCLqvDpXNTleKKTTaeMFz1XlSaXrUFXy9c0khp/Zcrlw/WNXSh/6XLx/mqwA9yzbVI7iO7OJX20BYVChIxA0V9sTimBcFcp58sU/pSkM6U8UV+klilU2kk1QEc2Fl5+5nzdaqO9AyCMNlYijbGqcgPVaRXXSl5SpRCTVuMnaurOJIjulJWCXiyph5OMjnaxkI1JbNneiZ77avC1GtUW7fHGf4s6p8QlO4gjbdn3O5GJCzGehg7okc76SWKk9wvFrUs3sNLw7Ov2rMdOqz80Nq+cXvyQ1dBS8UmEXjvqf6dOpSWauWyv9FSxiqae1uQBGxwMBoe+nHf43stwjftKglUennvu9g5MvIFuwIpB5eq5pKW6Pi5MyOCStWE05oUzYHWSufRqnkRzwaXNr1EuwLE4nrJoj2fq2GqLfdcLP1fq8tf9nV1JNblAZasPHD9MwCu5Q+oeMf3pu7SM61aEyhBo+ld9Ile38Ikgdu5kIXz1DtIjzj2ZNJCRaEwSeRqQNbOeOPOg/e/8sowc20eAJcib9lsKEYKV0BYQY9AD2c4MTzUFekBILfvdU+QTdEaoDO/ests70IaTg5jjdUMnH074c9ccOpFVj1qdumUKEm0i153MpLn2vG3zqtYGSgGoQTr5ZSLYO9Z+phbOvvNX8Wy3HvbTY5uitONhBKrQAfzbJpkHpWKDBaGLpHwCyNaieGp1GOA2Heuytjy0mRQ7kUku5ZukvGHFSQjMeNZ4H6kXvFh4W35QgwBG/uQMM29iqxAo/ixkK8anqYBL5/asesZpBNwZKPV3j9IGxSnAf39OJza7hKkAWXkny+cpuol9mq/6dFLf/m5S6GxBuIQ2P4vTX35rkDfJeiNgHZI5HmGXhVaHl3Nc6ONzCHihJNWS8sPHxD+IQXciPHQNoTBRN4PkKGgKN+6Rwz3oWl1KATZKIOScxVk2TCCBNym4+8KaHrOPihMD7xetlNljGi+MuAhtA9UKACMnyZa1MGL5Jqzqestr8nXAgRdBpg8FZGmfsFjDad7xk02xoZ0M1KQIaVs6Sl+KQGHt4yabSg0dUvdEq5xFEhdRMXVQiI9TiSIwbo0Rmk6iyyAnh6JILtRDkrFN2CsQXPDZfcbXJfmzJ9rwlRj8GEAGr9XhuwfhX2WAjjlohHHwVGKp+OSkLycMBAUKP3Tirgf2toKWUlvA2a5LSkTgbHf3WwiuQAAf5i12fyOVnSvz6AZ6WaR5G/SPqJ0uDfptrxiaiq6AJKYheAgHhbQnbaLh7pg5vqIXrk+/6m5JV/Qiusq/lT6CGefqRY2t9rjEj5XH76u31E/zGLBslL88enu9zsM/3rjT1/c/VirKE83xfnu19/0poRFuJUK82zzQqRn/C6S5Phhqt58uPunfL1PNzE0n6m8fqYq1tHGj0KVRcv2c/GZP4V8BQU8UOnc1SMk8UhsEKGZDeKU1RQtVAJ1lav3c0/+Jg+VaTS9qEYcPHIOHjCVeIkfoOq6xf++8Jx7dYRufVDXoF9hlz/XRvJZKAqgRzkIhlQSyRcURHwEBvuyco/KkXy7hRXSZU66hNmHAfS91NR6BM39B6g7lKkNCmVuZHN0cmVhbQplbmRvYmoKNjcgMCBvYmoKPDwKL0NvbG9yU3BhY2UgMTI1IDAgUgovUGF0dGVybiAxMjYgMCBSCi9FeHRHU3RhdGUgMTI3IDAgUgovRm9udCA8PAovRjM0IDEzMiAwIFIKL0YxNiAxMjggMCBSCi9GOCAxMjkgMCBSCi9GNTUgMTM2IDAgUgovRjI1IDE0NSAwIFIKL0Y3IDEzMCAwIFIKL0YzNyAxMzEgMCBSCj4+Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQo+PgplbmRvYmoKNjggMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9Cb3JkZXIgWzAgMCAxXQovSCAvSQovQyBbMSAwIDBdCi9SZWN0IFs0NzUuMTI2IDM4MS43MTMgNDgxLjU4OCAzOTMuNzUyXQovQSA8PAovUyAvR29UbwovRCAoSGZvb3Rub3RlLjEpCj4+Cj4+CmVuZG9iago2OSAwIG9iago8PAovTGVuZ3RoIDI2ODAKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp42r0Zy47juPE+X+FLEBmw1RJFvXLr2UkvJsBOGpNe7CHJQS2xW9yVJUeSx9vIz6delCVbk91BgFxMqlgsFutddLB53QSb79+9f3p39xDpTebnSaI3Ty8bpQJf5+kmyZUfBvHmqdr83bsvtyr3amu+2PZ1u4905H3/4fEzzpT3XXc4NrZoS8Mr3QvD3z/+8Ikhj3233QOBcht6ZhgY+APDKtMAFGFhGnnx9p9Pf3kXCHduvHtQ8SYHFlWCLO7T3I+DZLNXsZ8HEbP478XOu4d4viMM/DSEBcL8rmsH045wepZ4I3KRxd6PgxFAbRjyoRgLpHn3kC0owZkgHqH1J8CNY+9cm5ZnvRl7JyYVa++IxDzTD11bNIxSAeEdT/mwWA6jGXC3hR1j3zWN6ZGBzd4dug9DP49FJ60xFYkypEvgWAy/CKA2rAOmi6C/nZ63e6D/sylHhrx0PU9KEshWpZ6sFG21JHwEBQJTX2xlFgeENwckfACyHQi/CfN7tmMNV9Tasy0cfShG27UMKGAnnN6dRv5msRAmycLwAPgDw93Gmtg6y66Ox9Mgu+Ead3hHBdZ2JBPMvJLsb3EI6sO/sp6lvbH57EPl6zT7VnP7vFWJZ19rlG0Us0hhvN/GIPnph90C4Cx7mHwmMCGM9uVtxRRD8NowmpliFGRegecEOdBB0bzxx6E7iAx3jMX6gxXRH4AW+iNIXQyMJNiZ18M9iIzYpXCw0DNckFhdSkT5udaO1WJ575ubRYGfpRdskMgtRQhTYZQ7nP63hBWFfpzGDp0upMPg2j0RVJFEdIjuNHRkmOV2H3oWwlQxGpxWjImqxLE2vc+z+0F28mdvhlODIidsOJOklsd+HKmlM4saooj9PyX/hwMbOq/nJdYHTFgfMOmeG/sqjhRFWowr8gaADS9vE/ZgeL03/zqZYRz+T+aeKk4GMD52/Vg828aOK8rJYj+Kwrkh65wNWWdkyCkZMnyIIadsyNoZsp4MGWbXkS4Xwen8gt2jNtGWJeZlEupyiqGkJmFqYdsUMlUihFTqDGi6nPgcouDNEYNRAcCGhSAxLIhGFiyqEpIdL4I1LQFjbXvBORb9aM0gVNrqihmXsqbQG08Zb55T5sakv2ZMkRiTvjYmK0YotvT7TSn/H0xJZ2zcOou8nyCRVODwyivOK7ak/SCOZ7akE7YlTSITBeHHIihqJ0ft5EigZVBESAk0COlMbBSSgNx+Nh3mYaEDl2QxeO614kSglaQrAtDxSrsIBKBLBBJDmW8kQyGstmKIUHDlBIKuVY+rpHrC79asZRi7I6v4NHC5h0ZwKpFOzQvfljK/WfFPZJIqQguIXTBRYpEwPnO0h7n2HrYpVA4U/1+7EUuFlUQJwT+ZJ0qVg2G98MjeAxOpwfL4Suu4dsbLs/WMA4PYT2Eifp1LMQkjlzNCFgpcA7rbuZTJvCwkPrmgSwP6v7nsFP/1V1x2Ef/1V1z27iFMNsyEYo0lfh5BUR1pqP8l7GvIPiGo4CNU+Aa9JYLSj20ijakF2BfbSIF4YKHoDcMf6Qt00WO9hhDb8kgtwY1+wP5U4sdKDv1IyIHjG2YD6AHuuOOv85aFi3PrpEThtDqVAi94aOww8ozzEDQa5gvuMHLGsbdftqDponzj9SPzLS1J6qpkQEXeHQe1FW9YcZ/eHCHvT66ugIb5RxBGeAc+m4GVGexrux/tQaL30DUnV+Om4SX8Q7UEF/6lETRuvBADQ8rYF/ZiliwRWnz/yN8HEc1+rSY3zYCViw68Tx1ksOZtC3F2x5Cz8IrzSqTWdFIwVQy/RAUd5U52A68hIzgWvEhaK1z41aheisqw1HaCWVUWBUCVGMCdtdwEqLcD0nnm1NuwbdvhUuLY3lRLh3CNxGtPJZzkvcNiUdKd1GFt1+6lx4WvUnpcUSrioYBxyQnYNOJXi0AIrEeKulV2KD9El4pdjokgn73vDagYvKhedw3YrqOZawQBJCGq6AKx64ANPgimGJYjVSwdC1bQjpcl1l3K/mBeb2LB6epNRJL6nwtdHKW5FcOYCOLkmS6BR5Hog+CSI67V97CFS/fdAcXmCgqV6akvziLXhGt3n+w2ICKatMBKigMcza/gERS1YV22chTAGdVkWTQjOy8WhdS5Xk2LdYHlVkxp3lKJ5noFBMr9U1CiCLGCic9okM/aHeORewIIKrkCLtLsJpoM/zBRvLkwrLoLx1IdJhjiDna8EFlhnJmMoEBpOuoyk0y6TABBoKoExIC2Gy2EK126tIKFDVylkykpHCafCuequPn+NNZd7+pfkLDPWA8YUCiCwoezEP5aWMwK29cFPafj3byQv7iRvpUXrhoO7s0JvH5gkH25ogDlTkPpQLsSHWdW0E8DhEVpGjqhCiLy16LpRyId4zqxmbiHlFhOTVwDEk98J7d8A8xK/oGpe3qZspZOpFeJvUPRFq+GYdVE8MSbuWPl5zqoVrBzp02QTHERsUhh2FutVoHAfNFXA7lkOvlp6rkRYiLF4VNrS2ljEK9z+OTCmRgKNs8NA+7xaGcu1NkhPnodTSpT2soMDmrGWp7BgrWiCavBfmZY8D3U3alBuSslOUIQbxmeF5UTPVEN7L56EoE1MgFYIRMgyF+Rv7MdzO5C5qvWjFe6DWTJJZBd5Id++PK2eJNMZ1SWTS7JDbJeOXIK9xn05PZxrcHz45aLMw70YCGi1XY1VttXvCfwoHiwrhKUkiNy7OFkWU0BYFmhrL0LZZGfBNNTj/QtQQLpa3rRKcqVxBhr2Je4fcLjx1GYFMaohIHenN6soGhrhE+ULTgGFeQqynwVXptW4d4XqlMvT97zJzVYWD4oUshoJ0ftGvdQnl0/MbkwI/SLZeDJltaspd/EBTmuPPVua1utRaHf2UywJwxSzMBtDkc0Hmk02qoxV29NgAKR8MD42PxaaTpSJbu6U88vS5tQ+7mOlk9IWLvoRJ6ONWQu82uBxsRQzMwIlFUoxOuuFUQsvtwrkNSnCb+xTSkYAXPJ4Td36oBSF0dRggCo8EQSolDuzBzPc1lSca4DQH0ZqX0O3AVgcv14CCDhBmbcZMNEQhCdjYRKrk99/nyqWQ87/ly4F5mQO/HWd6D79bMwXPgO3cQtLGz6txwK2z5QlRBzbdBeh5kIMoSC0DRHBskDan7lBrTU8crUBOMHqubS/iDETsQHgZAJAMQ9wM5LhB0vDZ3ckJldOm3HpQhw5BRD9syg2d8X+B7EcAiYs+Tav/EiXwnymwHndxtclXSVQ1xRxEVfNL3yIerCk/k9byXCSheD/41EsXJlyfTPTayu3zPx3Yu4mWPPqjH4Wq3GEAviXmnc1kKoUW0yJ0YODSM59BrPruaENpOKgZQSIgN6Q7XHkbVfcl2QCs/U1/JrpbshglwPgiWJy4qAYKUTFtpA47kx8+ZYLTVLKI6LAr0S8Vf4/xni3qzIxQonz1xzNEVsEKc8tgKsOHSnqaXPM3nqyTwV8HiwTYO9u9Cid2IY9R/k++XqDBfTQEF/lCNem+4ZNLgS0vvp0QItjyoNjMHuFUJWewa72hGmWPThfxNr/6n++endfwBjKdBbDQplbmRzdHJlYW0KZW5kb2JqCjcwIDAgb2JqCjw8Ci9Db2xvclNwYWNlIDEyNSAwIFIKL1BhdHRlcm4gMTI2IDAgUgovRXh0R1N0YXRlIDEyNyAwIFIKL0ZvbnQgPDwKL0YzNCAxMzIgMCBSCi9GMjUgMTQ1IDAgUgovRjU1IDEzNiAwIFIKL0Y4IDEyOSAwIFIKL0YxNiAxMjggMCBSCj4+Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQo+PgplbmRvYmoKNzEgMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9Cb3JkZXIgWzAgMCAxXQovSCAvSQovQyBbMSAwIDBdCi9SZWN0IFsxNTQuNjMyIDI0Ni4yMTkgMTYxLjYwNiAyNTcuMDY4XQovQSA8PAovUyAvR29UbwovRCAoZmlndXJlLjEuMikKPj4KPj4KZW5kb2JqCjcyIDAgb2JqCjw8Ci9MZW5ndGggMTQ5OAovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCnjazVjNkts2DL77KXSUZ9Zakfqx1Z663W4nnWmbTtxT2wMt0RYbWXJIqdudvnwBgpQlx8kkmW6a8cEUSID4ABAAGQeHIA6+X9xtF7cPSRpsoiLP02C7D1iSRus8C/KCRyzOgm0V/Bbmy1XC1jx8FcEgTcJvDp3pVSubRiGBh7KnCdFEyz+2PyxiJ9//f7ddMBjEARs3yOIkKjgLyuPizSLiPGG0YjK0U57PEW5fHHlw3y1+gZ+X7pesvOzVRLiFmK4nEDnjUZYF6YZHRVEQwgd1AGysWIfcIriwCsiNEw6b2MV3L3/8iXAfu+WKF2ElG8K/7zRNnETfS92SqCyfGjjOoiwuvKx70QtgydfhnV5mYMllBmYs66tmvH3gWVCAKJ6jqBVn6yiB8SoBuCgeJaYRByQsi8Nvu9bIdpnwEN2zScK+w/80/NVIR6jdwKphld1MNojBpAVo68LgTgI+YEgBspa9VvIv1R7oW7RLvg6f6OO1aisadXv6P4GdNqHUpmtFQ6TKIk+TONwvWai7I31YlXCeLIOjV8Nuucry8E9Z9jdEmq8Cxa2uLCoypytgX8KOve6aRoJT0iINa2FwkFk7IEGY1zQgcTDjNgUSbZrZTWnOOhenSrIrio9o6kVLMyehe1UOjdA3M8Hp23rm1/VMWBa2UlaGhtZjLIctYRoVQaKgv0YZR0Ar2wnj7Fz2nt86GAS4OAPSHBhSTN0NTUXjHQnwG4FPH1E/oeW41RVrOy4KjyRJwoOi0MBxbXElqfM4kiysxMdfknr1gDQ3SETEba0MLXSggTZqDePSMQnVfjU7ORcnJofsktugTmNGqv9zsX4a/yyO1syfVNXiWV+HJZwusLSkL4uAFxsHDkk2zJDUdj1RnHmkk1ApDbZvnmhVt0O1ZUVze3sQkO4kr51tkDR13Q2R7PorHnmsVYkmqclspht0KWdGTy4PJZK8i9Kw0+qgWtFL8/X7LLoiG+Hem+wjLToqIv8Gr8q2dMFgw3mqKKhSYyj28+hpOgugOrhlTvOyO54aMKmNiClHGroYM4OH/pcynX5y7ENfA+oe+Z6+WNCPqq8rLVDJR+IcOSZ5ycF1vMISHcxeHSWG8IcjZJ8Z4jkI0U1rCMVe7FTzpXsGugDZywufvOOMfbEgRFlKY/5rEJ87gjC/qv2ThwH9hTwH1Gd3B0/zcWPV2ZCuiGpbChxM0jV+ztjWZ32R5AoNMqnG0caqzVMo5z2U4eqGZvwGau8lYyW1FEPLqUqNKnbGqF0jb64VlXOmgTQJWNwpHYysLo8CTB+hqnkPUPlO5maA1L38mDz0SUG0iWdBBJ82iOB/bFnx46S732OWNtS12NmKBkcpWqDuh4a+VQteO4peQc9BK3eUpYaevt2+EHM27UKJWV3r/MRBVpO8/WZADc08zkErayc8k2M/NTZNF8HhW6xnM6jaf5gCDpVoaXBuKZFXi9bspdYEPg1dnYbLkjWpaJrny/CPtc9y+jJPQ8ZQJ+Wqp/eC9kh6eYDOQLogJu+kV3jOc/9n0rno/YQ+qzLiHc0ujYd7GrQZfEzuxo5hwvSuLn1urjkr7K2087W9Hn1MQ/nJdaORBx+RO2HUzDnTANaUju3BYyGcMVD38PzFGUzts60PKno6AJ1m3vvQw0al4K3TNs0fsnpmXBxyY0WhxkIKD9ey4dWxcBmV+wQJFHttg+It6CaKDylwF2oMLaNbbXGW7u+wBYUfVn18OHARyH3OZvTsMNvp/uXP9l0H8OVRkeTuYcOl4m0tW6yXmePAwayZtjMd/Q82VOTFcleVYWTrKvxrTOlQd6o5+8hxP3JM3zciIr3Yv0edK5XZbspzvHejYQgO940ENhy0G8/HpfYeS88KsoqIth2XS6MOLRH9WxZxt7SAHsyQkhBBwaVLHs/JcLb7SYNegFCUT9e0R3BQGNQZ3+1DNg3ONIegHN/f6F0LQybbUMsB//SmlbkbOVKuv2mxeBOxMXLf+Vz5L47WVlsNCmVuZHN0cmVhbQplbmRvYmoKNzMgMCBvYmoKPDwKL0NvbG9yU3BhY2UgMTI1IDAgUgovUGF0dGVybiAxMjYgMCBSCi9FeHRHU3RhdGUgMTI3IDAgUgovRm9udCA8PAovRjM0IDEzMiAwIFIKL0Y0NyAxMzUgMCBSCi9GNTYgMTQ2IDAgUgovRjI1IDE0NSAwIFIKL0Y4IDEyOSAwIFIKL0Y1NSAxMzYgMCBSCj4+Ci9YT2JqZWN0IDw8Ci9JbTIgMTQ3IDAgUgo+PgovUHJvY1NldCBbL1BERiAvVGV4dF0KPj4KZW5kb2JqCjc0IDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovQm9yZGVyIFswIDAgMV0KL0ggL0kKL0MgWzEgMCAwXQovUmVjdCBbMzcyLjg0IDEzOC4wOTkgMzc5LjgxNCAxNDguOTQ4XQovQSA8PAovUyAvR29UbwovRCAoZmlndXJlLjEuMykKPj4KPj4KZW5kb2JqCjc1IDAgb2JqCjw8Ci9MZW5ndGggNjAyCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeNp1VE1v2zAMvftX6CgDteIP2bKOa7MUHdChK7zTsINiK4m3xM4sZe3+/ShRTpNhhQ+kHsUn8pFwSrYkJffRbRMtVgUnNZNVxUmzIXmeMi4FqWTOsrQkTUe+0Q9tnEu66/XvftjGScELer98enZeTu/Gw3Hfq6HVGBk3iN8+PX5G5Gka4wQI2jij2hgEHxHr9B5Qh2WioCL+3nyK0lDdbD82UQZOSjKSFRWUV/gyRZWT9hD9ilguBS/9jQvXh+a8ACweDgVZjtEX+Gb2+UoycycX5F4gLi4EymrBKihESlbzDPVZ9VsWJ5kUtGCug380LThLixwe8ZffdDk4CWovgT9vxgmlOypr9TQgVVldvp6WrEzlzHU3DkYPFrIqQe2I9qtxk6hqancakaWy6r/KLlY1kUCeV448yYRgnOcEimC1rPGNhwFIYDbIBo5+VTDxcPDTfotC7btxCLEWNkMNcS7on7jm9Ga+2Rv05jbxsgrOGkQRNFCortNdcEOWQmNO68T1BFVzJjkHmzFZho09Tqhti/sGi/bjZJxOReofqKkGtTWGlPmJew1BnAGA2BAgqrUntUe/g111WvqD19vZXeA5euLRaugZ1O/nrEG/4IUWahgPeroJzNY3kF6XjnRlRY1Vk0XXqww2xMqr/hjGGtQVvO1JTQpr0NrMmcpecVTn8dQwHg/M+RayzVFNoQ8EX3q7e7/ctD43506CqqFDGMQ16KG0EDun6Ff4c7S9Rbj1y+zWJQC+a0dxLhIOR78eozH9eh9oTkZtg4spF090MC723l/lL4lqQxoNCmVuZHN0cmVhbQplbmRvYmoKNzYgMCBvYmoKPDwKL0NvbG9yU3BhY2UgMTI1IDAgUgovUGF0dGVybiAxMjYgMCBSCi9FeHRHU3RhdGUgMTI3IDAgUgovRm9udCA8PAovRjM0IDEzMiAwIFIKL0Y0NyAxMzUgMCBSCi9GNTYgMTQ2IDAgUgovRjggMTI5IDAgUgo+PgovWE9iamVjdCA8PAovSW0zIDE0OCAwIFIKPj4KL1Byb2NTZXQgWy9QREYgL1RleHRdCj4+CmVuZG9iago3NyAwIG9iago8PAovTGVuZ3RoIDIwMzMKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp42o1YW4+jxhJ+n1/BI5bsXvoCDY+b7E7OHinRJmspD0keGJsZE9ngBZzJ/PvUrTF4GO1qpKGoqq7urutnkugpSqKf7n7Y3r27ty7KVZFlLto+Rto65bM0ygqjdJJG2330R5yvNlZ7E39RQDgbv39q+6FuquOxRoaJq4EF5VGt/tr+/y4R++H5cXungUgiHemsUNb5KLW5yhMT7U53X++UzfPEksaEJFFYJ4x3n04u+tDe/Qp/wXpQ2QTbm4lxuiLwrlc0SabyvIhS7eHJN7yvn+BuuvCxoxvceAWcklgDm5DyD59//oXve1rpuF1tTBHvqyOzHtuOfXIuh6HqGraWZlMfJ6lKkyKY+21lsrh+OqAPMx8PLT/fr1IT71apxX/g4r5fdO27e5NGBdg2GdreGK1VBgHcYCBtwVs4ZeF2Ok3i32CjlTUxbpZb3ix38fvdTjZ4d59PzCVgMFG5dmzn90PVwIIii4dDxcSHciiR8vGXy8Nqk6bx39VuYFlfNfuehSVzuurrpepFXK5MHv+zgiVlfaybpxvLHR4VNAa2QEfFVXTU9UzZ8zHg+Hhi8ECRSur+2DZko2uPxwojkxTxAaJW9kyDVQ7Q1Ik+U6nPQnz+TNKkhn/6tXu0U5mzQbGrhq6u/sH9KrZeHjErklzOCcSe3YWyvsfUyeNdXQ7VnsXP9XCYrSiCg4HFDs7IwWtmlc1+4fybQiuji7kn6Bpv3cMrq5evYXwCu+DLC7xkRXzu5NgQBQoaMsHLpEmnRgbfk1nlwLwDOh1ZD/iIq0oWncp9pVhlCwm2Hk3JjmUnRh9o4xZchJHe8Klnl4SMCymTaSklLb4EQnyZJTNfKhZuWSuBWu7rp4aZoYrppZbnfQ0Z9CTLnMhO52N1ku37m33PXQ15jrn7spSku7bph66s5eyvA+qgY6VmqWGkOd8SntAwNPYK+bdYz1mmbDpmtmI/Frky0Jk2Glq+tSz6RLExElAP5v4t8YbMbR9vpOdD24hs157OIWGgw6xZYTjUPctHj5Jy2bCcQysmZr7E0kAmJ4/GZOToO1U4N3dk2b80O1x16NqmvWAYoLtcm07q4seuPTGbowMsyQpg3bQwUiplIR0VWZK9wfauqrlW9swJ+mPRIPNMa1qMsOcIjzmQ8dEptxwI6xOadlDbjwN1LIfNAFvWIPzRMLyw4arr26Y8MktaDNiigkOWeLeSPaDCIdmqvWLpJ2HjXFuHDeuemZMx9iptKXh5cvUIvlx6jljBEcupfdBTekqoUGT1l4fNuZMpyj2FBdI1PHaNZn+sRrbsgmuA1PHXS6D6QUa3jzJVeJvTsM+sSo2JrMq0eNq9LguvTIoj86rE+V9cN7zmP7xA/lMOQp9S3vu5WySvklAUSL4uCuSOmrtLP7Qnija+caYl08SVZgZMnn9MH8KSMwd4TANgSRqkE78vxFAyA1BLFSJPxLzPs4hToqDLHCueWfCKg0Xye6g4wWsYfJKg4+ak+/Z2ExfAGzbg/qqx3DN5sJe7AYfaOlQdlaG9VvcYBTtGwXNZWikQUGLnWkk24XENAHfWQB7GsnbkI8Qw9Z7hC+iGKC+U+G2QrA1BAqpG89aFTtH3nNN91UtWz2AeWLaYeiGllVvGd9ioEd99Rl7bDeUDIK0BX16+E+wZK53S2NApkTXplHjOgeUC+FBB9EbXobhE1/MgFMA3s86AzwdjNGRsKm4Lh1/hZhRBuNaaNXq2kMZNVe37JdcPhNJBU2Kwqx9fmMO7E1F3eybPZTcExIOIc2A2JodicvutVSknKFwG8rO/2UrcCNQNPF3I8+dDzRNttXGQcZSxjjP2NU7IjErS/HuAa6aSwi0jPrROwNXR/OP2ijQnK4lvsSsyGbvS2Q5i5sO44ga7OinVBezqc6UB63w/di1U4t+4icvisd7xhXuah57GxUU5iALEr/jkkwMhdyUWxh8p9j0Qk3GKr4JfkRT8KqZoV0/4lSELHXWh/7aE+o2b4leTclcy4k9icLYh75ptUOaKefd1Q41XJsw3V5IEmuIJXy9NvYNg9rKwDesqZrz1A+sGMmkdIJMO+BeIeQmPu4PkUJ6lJBuaJ8DqLzThHi90FUeX0wGeAzHCcz2F51rgudbyYx6pdOnEr5C6DX6CNjxF6iT5JjbXqVb5W9ic+i88P493X+i7uVM68zeg3BitEvht+RqV2zy0TD9BJTaXhjmRBlQOvAVUPtWcTUZkcCdlpZafB/m9LjgdOCU/ztAiRrCwv4zZvgDQuQ+7cc4iLRPvJjlQ8swTCCgZI4Qsi+sMRrrkx9iIHZ2HctwHndntKaOQ+z8a3s+oJy2jW7OkboLRanGQz6ERnh7jbDBtvl7qjsGA4a8eBp35zOLdsRaEtGYG7usZHRlsGe3l6cBrpPA84umOxeKE/kZhUlxwcXbhOB+nn4w+biff08KHPgANyhUeP5X98VcS7UEI91W2yKNnUj1FaaayAr9yHKMvd7/KR0MfpQCyPZeA9SpNXKSdVbmbw+zZdzTA2cYizs4T+TL1ERxQXH8TWJ/Jb4Krh6klAZ8+AyDBvzCQoor3afgiBxzqW/DclefhEhZU/+6q81C3BClBHccJA0UQ7qs/E+0aUYXfcy2eSPLhiuMSCH8xDX+ByQ4Oh116mkz0+U+aH34bLNHOi3wYhT0sd0hn6AcRcvHa8BOjZjBs4RqrPIuXP6FOgvgfsRCVGg0KZW5kc3RyZWFtCmVuZG9iago3OCAwIG9iago8PAovQ29sb3JTcGFjZSAxMjUgMCBSCi9QYXR0ZXJuIDEyNiAwIFIKL0V4dEdTdGF0ZSAxMjcgMCBSCi9Gb250IDw8Ci9GMzQgMTMyIDAgUgovRjQ3IDEzNSAwIFIKL0Y1NiAxNDYgMCBSCi9GMjUgMTQ1IDAgUgovRjggMTI5IDAgUgovRjU1IDEzNiAwIFIKL0Y3IDEzMCAwIFIKL0YzNyAxMzEgMCBSCj4+Ci9YT2JqZWN0IDw8Ci9JbTQgMTQ5IDAgUgo+PgovUHJvY1NldCBbL1BERiAvVGV4dF0KPj4KZW5kb2JqCjc5IDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovQm9yZGVyIFswIDAgMV0KL0ggL0kKL0MgWzEgMCAwXQovUmVjdCBbMzY4LjgyNiA0MjMuNTI4IDM3NS44IDQzNC4zNzddCi9BIDw8Ci9TIC9Hb1RvCi9EIChmaWd1cmUuMS40KQo+Pgo+PgplbmRvYmoKODAgMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9Cb3JkZXIgWzAgMCAxXQovSCAvSQovQyBbMSAwIDBdCi9SZWN0IFszOTcuMjkxIDM2My41NzUgNDAzLjc1MyAzNzUuNjE0XQovQSA8PAovUyAvR29UbwovRCAoSGZvb3Rub3RlLjIpCj4+Cj4+CmVuZG9iago4MSAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0JvcmRlciBbMCAwIDFdCi9IIC9JCi9DIFsxIDAgMF0KL1JlY3QgWzQ3NC42MTQgMjA0LjM4NyA0ODEuNTg4IDIxNS4yMzZdCi9BIDw8Ci9TIC9Hb1RvCi9EIChmaWd1cmUuMS41KQo+Pgo+PgplbmRvYmoKODIgMCBvYmoKPDwKL0xlbmd0aCAxNjAxCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeNqNWN+P2zYMfs9f4UcHSFxLlmX7cd2tRQd0uN0O6MO6B8XWnb0lduofveW/HylSjpNLu6JATVE0RZEfP8YXB89BHLxfvX1cvXmXqCCPCq1V8PgUSBlHqsgCXchIxGnwWAV/hj+Va1mEdWO/Nu3zepuoJHx/d/+Akgx/7g7HfWPa0tJO90T6t/cffyPNfd+tt+CgXIvQDgMpP5KusnvQok5kSVis/3r8dRVzdP75y+NKgBAHIhBZFhVFEqg8i1IIvDysvqyiJFMycxYL0W3591jx5sMhDe661e/wz3v3Jlvve7tw7hKkskWCRJFHWupAaR1pISlB75rnaL0VRRamEV7hKqmJiuJEwinO+JyYA1z9nAaneup6St/RjKPtW/KW6mUEcRqlceHdPaylDpvneoT3dEbph+d9149m1+yb8XQzqeA0DQpwCncBp1sZJ5GKZQCHwzPjwqPvthtri1HFaXhfdy3WOVau7utUhKY9UZD5wp0QMkpk4mP8HKexaSu4apaiPxLALQlH8iozHZbg1bRrmYcn2sP7XBiXZmDbYZyqE7gWtDHU3bSvMBaoJZ8PQlSkDOMd2OUhhp8kodntWRo7fKqwARzbg3WHj7xVNwNtcjm4unKZuhiSByuV0ykqSgEKIo3DB6jKOpHOWc7n5Cr81Ix11RvceXmdOfAmYJVzzJ9qCAgRSQlQuQ7vzGhI9ccEV0rT8G9bjqQZbFsNJBqy7u2XyYJKhCMpDN7v6xpeM4AO7GfUsvcs7DFoyoA7taPnCwYNcIW4Jaw257cw3/FloinCJIkBJJTOvtvvHYZAV5uBBEp8DHXsjiRNAxEMbtaWhGp2ZoahcyUsGzPa6tLJbH8+fJmeDbtoq1sBA+oOGOfUNiW4BltY7EyJd/2HVu4cfNa8zeeAdFkGMjIsUedgh8/mDlLwdH2AwjS4y4DEyD90vY1I83g7w5UdmueWQOqZgkDMSmIklDQ9GN0IBCrJ4CHObXDsG0JFeSJF2bXD2JuGG4KIaAl8mebAa8ktIko5YfAkuDumuAH3HMZNrr2LiLoXOjdKs5SurJmLPmAfxFxoFcMo+dfgnUiLNHGxy5yCuiWnQB9uvCUWAk3NcGpL3K77ru2mgfapcUYyeULodwdaeNRvhYK2V1wZzVDaN2cKQUIzWBGgp9ocj0RALe04iMDGTHeoHJuD3ZB+rBF+GE7i+Q8t+GKouyBL3DucmxeX14yG/vHWNwB1BpFMCERS+UkFGtey+OQd+3VNN2HPoBqm3fboJn0WljDmI1J/eNrwq2x3DhiUeF1SI7lMPbU/LLnNEJbc87aa+pu94EqvoLfLL1NDHpQSjv9A29oXEsoJeOZg+w1tE1AWelK/MDnDiS8DGbClcA0xX9ntdLQxDfZseqtbofcdAWnfblBGuC9XMrkae6hgktTMbxozngJm9hPxE2iaJ+/SpRYkT5UpcQxoWmsrYsqzp5I5mRp7sufAbuFiTj9XNIeKEqPxcJwZrThzI87ozZVu6Ym2Xpr9nvnS9oemhZvxSzAGSnvBt8WMe3SBnShcCjFpWXi6CJ07sWGGI54Fbrwe+YlL+95SQtWSCpeY+97Mz/zM19+f+Q8wGpqn0w+O+6Tw86wQfs4Ufp5pP2dAw+MezdhmZi3S0ajX86hHLXuOl6Pe6TvvgmIlqnwdy41UvxrzmUdwRj8hUOH9ktLTGWMW+ZDt+QoOtqDezfy2eOtufmuZlA07aisyh/Jub4H6atYLnvW5m/WCIxYee6Dg40R2XQM0pvYTftaDqprNKQl4AFG/q67IKBefY6FsFZHmseZQeLR/l6OT5NWgV2F2MegXQ15dD3nth7z6gSEv8WNI/8+Qf8D5bvG/b+Bc55FM1dWclzD9c6Vfz3npYSoBffOcR637HFju+m+HQtyY8xeWZ6JHNX8tOHnnhhZ7IZaQ3BCSGsL9fm6Ab+huV6Of60NZ1rmvP0iGv8o8TbkFDr2I9t9hoO6TDxYNlAK/oze85C85hg58GbJ7xAd1s/YYBTMXo+9D49DptvGjm+Q5Abd+AbvfP6Z9xm8FrKipqh6YekMrF2KKR0MpTiQDrzalNwfC7vqemsItIdyDGZuuZQ+Di9MJlHiU58S7E4meCVXf+DvAf1utWnwNCmVuZHN0cmVhbQplbmRvYmoKODMgMCBvYmoKPDwKL0NvbG9yU3BhY2UgMTI1IDAgUgovUGF0dGVybiAxMjYgMCBSCi9FeHRHU3RhdGUgMTI3IDAgUgovRm9udCA8PAovRjM0IDEzMiAwIFIKL0Y0NyAxMzUgMCBSCi9GNTYgMTQ2IDAgUgovRjU1IDEzNiAwIFIKL0Y4IDEyOSAwIFIKL0YyNSAxNDUgMCBSCj4+Ci9YT2JqZWN0IDw8Ci9JbTUgMTUwIDAgUgo+PgovUHJvY1NldCBbL1BERiAvVGV4dF0KPj4KZW5kb2JqCjg0IDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovQm9yZGVyIFswIDAgMV0KL0ggL0kKL0MgWzEgMCAwXQovUmVjdCBbMjMxLjY3OSAzMzEuNTE4IDIzOC42NTMgMzQyLjM2Nl0KL0EgPDwKL1MgL0dvVG8KL0QgKGZpZ3VyZS4xLjYpCj4+Cj4+CmVuZG9iago4NSAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0JvcmRlciBbMCAwIDFdCi9IIC9JCi9DIFsxIDAgMF0KL1JlY3QgWzIwMS4xODIgMTYyLjAyMiAyMDguMTU2IDE3Mi44N10KL0EgPDwKL1MgL0dvVG8KL0QgKGZpZ3VyZS4xLjcpCj4+Cj4+CmVuZG9iago4NiAwIG9iago8PAovTGVuZ3RoIDEzMDMKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp42rVWS3PjNgy++1foSM3YiiSKehy73aaTzvSV9cweuj1oJdpmK5NZPdb1v1+AIC0lUaa9dDITgQAI4vtAgI6DYxAHP27e7Td39zwLyqjK8yzYH4KEZ1GRiyCv0iiJRbBvgz9YEoe7NBcl+xCFO55x9t3RDKPSsusUKlImRzLUXRT+uf9pE7sD/PeH/SYBIQ6SIMl4lCVJIEQcpVXQnDdfNiAUorQOC9Ga/DanuHs458F7s/kd/nxw77LzoXdzbIswKxYI0xhsWRaItIp4XhLCe3UEaElVsNwCeMEKkBLzFA6xzu9++/kXgn02QEzFWtkR/IPpyfBUj6PsNYUS+ZLgWEQirnysxzDNmTqekL+8YKOh70c1nto+FCmrL6uErhGbAyCAyssiKtPcMZslOZTRMjuLbzBbvM2si71bBF+jVkRVARnkeVTF2Utqi/9OLSdqy/+B2kdkVYaCs2ZUh+squ3f3ZVBBXAAKcXdpEkeF4ICeR0VZUPhe0n64ABkbpiaEbE+0UhqyPdejMjoizf6kBpLq4arJtzfaTE7byy+THEZaNGbqWhI/WxKkOwQiDp/iJJOtP4e+ljXAAbnvkiSqgBWb4jQofQTUHBpT4zdj8iueLTX+H8k0TJ93Tz3R3chhcFVKxYICCAztklYpBYYZASVNRMwegeCQpzZWyYnk0ubNkWWrvA+rnJn+aKBwrm7l89gJ3C7oVxv740lirkXFxhMGKEr2vh5rUn2YILLI2V9hgtETqCG5DFK3A/k41xulpANwX0PYWauOSJkPAF8F8QBIWjAXzwIBy60AuDh4EFvnBPuXtLtx6dKFYN8bIro3XSfx/mLd64GM9gj49nLslasLuVBeYGpvkXrZ1SPWfd658JuxwqLWzq1BPCdpb9vfpFIHFwHv48qNcQeWFcP7yqsYD5ZEHEGJSP1wIDdtxi1pKBlQOfigegUfrLJTZ6UBi4s/dw5a29teQgGqxpzPCGTarXGtVeNipRWhgjsdO4Z8hdNbUuniCkH/RqT6Fdz6ixrkdrkLwsy7XlcSMsMLaLMr2eQTWcnRJiMyFxYEFxZG0DIZsl1OGO7qd9A9R9lRA5IFKbLnpSmoNBBz749p5aCOmmQ/NSmAJk8azagpneG8SvJTJ89uZMDR8MISFBSeegUpCFY3V1I0Rg9jXys3YWhKL0cJPtIlPBvzlBaM2g8YyFztshRbT1jwKN+HBY4QHN1vjZGKR1V2e0giyobmLkpq2JJgdONyr4+QptPWNiJMOV7AiK+e4389s7NMzE2Hi0NvziQRNSBQlVFaVnlLqstJ+XuPS6wIfun9Q6mpneo2gazfGWqxW+tcXyA7Izi+M8vBz9ltwCTsX4c/1Ai4zJ6T8ID5VG7oZBV08j81ZkNac3hhfToZ7WzQwU80Pa4hPAdb72lLA9LtbuI+wg3aGTcsLO4FRFurtSzbqafxnnLf/HD5e7hfM0ZSmgN51c2XSc2barJqeaF1Mw2jOVPLL55Pd4CZjieyuMP4chZzdlFdR3YPZ6W97E+btMBi9PjUFykEwbti33nQf4pFDE95I2lZY0wU/HhAmcYDSi4Bv5luJga1KaKq6dTczqhQ7qsl8lP3V3fQ6Deq1cE2jPVRQnLJi26Lme86LWWLiaDO9rUdGca+xqqVzuCHycw1qi/wG/jWnFYz6Vb2cKhubblsNx+csxuba+OXprmnCJtDueZ4OUFJiwcr1za3za+aZO2n+Df832jRDQplbmRzdHJlYW0KZW5kb2JqCjg3IDAgb2JqCjw8Ci9Db2xvclNwYWNlIDEyNSAwIFIKL1BhdHRlcm4gMTI2IDAgUgovRXh0R1N0YXRlIDEyNyAwIFIKL0ZvbnQgPDwKL0YzNCAxMzIgMCBSCi9GNDcgMTM1IDAgUgovRjU2IDE0NiAwIFIKL0Y4IDEyOSAwIFIKL0YyNSAxNDUgMCBSCi9GNTUgMTM2IDAgUgo+PgovWE9iamVjdCA8PAovSW02IDE1MSAwIFIKL0ltNyAxNTIgMCBSCj4+Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQo+PgplbmRvYmoKODggMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9Cb3JkZXIgWzAgMCAxXQovSCAvSQovQyBbMSAwIDBdCi9SZWN0IFs0NTYuNjk5IDIyMS43ODYgNDYzLjY3MiAyMzIuNjM0XQovQSA8PAovUyAvR29UbwovRCAoZmlndXJlLjEuOCkKPj4KPj4KZW5kb2JqCjg5IDAgb2JqCjw8Ci9MZW5ndGggMjEyMAovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCnjahRjLjts48t5foaMMtBVRbx03k2SQBbLoSTewh94caIltEy1Ljiilp/frp16UH9BgYMAsFovFYr2pONgHcfD73cenuw9f0iyooroosuDpJUiSOMrqMijqJFJxHjy1wXP4r2aT1OHBml+232+2aZaGv396+I5QEv42HE+d1X1jeGV4YfzHh2//YczDOGy2wKDZqNA4x8hvjGtNB1jAJUVeh0ptfjz9+y4W8fz4+elOARAHKlBFHaVZGeSqiuIyC5rj3c+7KC2SggjOEC34XYL48PVYBZ+Guz/g53l7kq3nvL1gTfoB3Fk/qs4jlaUB6ChSecL6+WL30War6jKsIrzAjU7TLIpTPIeIz3o5ogoqUgHNX4aRVXfS02TGnlnlxeXxcR7lC6vvm6QI7f4wwbaiDKeBx90mT0LD8JdNWYfAFzD7Abj2qwr+8EUVgVJRneOVXkAZdR3Vqg62aRpVIAEdl8MdVZKH302nJ9PCAWUe/ndTZ3DAK890L+jfhr7pZmcHuUUVAEO0DXCPg22SRmmVMduvPWxRWTgdDAOdhdvraR7NPSJyWEHPgdPDkQFE6lHInfm1ATXClk4QSDnNQNpa45j67WA8vRgAIOt4NH+CYlq6EZ42ILs3/NNj6/whW7wIys56YtmbebQTUr6jumu5f1GFp9H+2uQgZfPOCO1OZG3TTC5iYhEEIGeuGVUsEqrPMQX7BgAHo7vp0PDt6SD2ogYiCy67IiORZmkBpMaBAwAxWQ9RtscxD59Vfq/KHxFjv5n+/+iUCJuJKXQXLVuQgxzbzo1wv74Dbe3MUc5zjKFbIDe6+oqs6MJZDFtZed0MjsYY8g4CxtlNi4WGcTrYnrJKFpeUfJDopMfJNvakz8cDdqcdXRzAoedR8wDuRqmNll6Yl1fVCLZ05kpaCQgNKkfeaZWK5auEoxBG8yfqW1ZvDAwYUaMcIoaGbW6GZFuGB55pwTbo0iCzCv8Xq6zFXRDvVncXPJOQfOSC9368Xu5X3QPDL4EL7Nw06mbiWecjjmOrY+yzUugjaZJw1CKq+HHPkLgzQJZTOoKmHy1fiMILNr7Z6SBkPfjDUePlRQTn5lEqCU7xvu2azDfqzPKLXColKg8bfdI74GBBSZAHIsaS3Bl6PMmd5UtClnyQod/ZfU/yZjnbE0dKT0DVDkdt+9tjeQ6+88/i5nEIHvXK0FH3em+OqGrxhYgXSFAYn1VKkgL4QEmlkKSSq/AzaugAGuNLA+ZpU0E+ExdSYT90w56TYI6+k8cPn58cjIo5Ym5Y84kTlHRUQFIrUgCOBs2FtsHJ6VIURIzm52xHDviSIg6xFBUIuPkE4nAKhJgVzgfjyXT37qxswgA8nwHmmISs1ZNeE7cz+pWE2Zsr70xAeeKeKnzUXW+n0fKCmRhLaQ0RkEdFOmd4iQ0OS4+mQR/Z/sHTn7MZ35mk0/1+hlN5gXN0gro4bdfyxTn/kr2SXGrVlXsgViTpIIWh7RDFmkQAh9xLgRjT7yEFMjwd9OSxetfxbogFZH4wNLwuh58vtqLUGxnSFAJyD47vJp7gZhT+AewKPMiDO15aSp3FbNVQhDvqjAKVRXWWXZ/0OBwNNz5v6DvYTHD+gJ6I6xws3fLsundeGJduJJPkC9skWBOITCQHw3OSAYzvT68q7G3fiqJu12TlA8jEZ2syqnnfsYjUxcXnqC85ScW3MeJvqcLn8l7FlFlhwhkKkDVnqNjfBrx1ng7DKJs4y3N+dpPdU5gQ1Zo5e/MGZU0pjO1x0L7IIIaKLow3OTRTyW1RVxLRuCQBU3LAIEYzhRu6mdWNSM/cYj/YGmHSdbzaDP1qpDTmRCkE7CJ+uFRKtnxy1T+jpzMOS0/PIOd1hBYXwQmlMxgvzYXzq6tCEY0Y/ZW4QSZJ0BqJ963lgLWmkIJtGM2wH/Xp4NN+kl1ILOWR3RtWZnYGyAUtr5CjwdiaSdtOtkM/IdkGm1Y+B1LQUi9bXrKtV9ZSc2AZdE1uR0V+1UPghWApWNETq4o9EcbnjDwRIKmVAFGtrKrL3hlmUtwB0k0j3U/FJ1PP2AkfZ6BD85Uf5hR8FbaTZwPcrwm5s33L3llKt1cW512EZQ8FoDdGIHJCGF976e1pBvUFvQXaRMqTCk2O7B7t0XZ67N6vN7MWkIC6ZsRUPxZOSzVccwh4DMF7DrURZ2JzAKBBwUdOy7OdTxRI0vfDJC0pzjkBxMvbJc6uOw+Yi+Zxs9c8HuFtzpqP8SFz2q6/Erw5UsmFaUYpSqNm3Ku756XFAGc6cFbtCcCTHSXAlBzuIkOmUsNwpTco4tk78aiBl84mwplt1iuHpIlPWAxSeNnxKZQY0jh8GYcjQr7DAJTmYB/OKZPxt29FFd7zwjCPDMgz45Vn1KMA4xd5dc30oqANPY/4ZSRi8HGlZi2OvVpe3kS0rIwhsi+FRQy+9RBlKd4yem/KiJJjM+j7KCSn8IBFfjqV2Gtaob96niIC9QyZwZ7fS0DvqfljTybv2zXngdUcoxofi3nNJ+fonQ46acbJRw3HKxRUgOUYwC6dgjqXJzSSnF8x/nEGq/Q8qqhy5dWl1Nxzyj4aPz6siXqdgsv0upLzVw16QcHIzUDEqO/gs4szw9z7hbCRGOfQKJcPZABd2xExO6qbRnp+Okh3bljtwq5lSyqq+zDiwyC7VxV2DTijOgWrgKVCVUnbgDhuG+Q7W6Vuel0k1bxwNEBIwslZVCxhHdr3y979krnYeEV2yg5F7FUBUCPfCr0aAeXe3WSOlDxgJi90BCkXFSQa0UnA2WE7cR976G1Dn3yQyDc15Br+KH9Hz/Hl774u/gV0so9cDQplbmRzdHJlYW0KZW5kb2JqCjkwIDAgb2JqCjw8Ci9Db2xvclNwYWNlIDEyNSAwIFIKL1BhdHRlcm4gMTI2IDAgUgovRXh0R1N0YXRlIDEyNyAwIFIKL0ZvbnQgPDwKL0YzNCAxMzIgMCBSCi9GNDcgMTM1IDAgUgovRjU2IDE0NiAwIFIKL0YxNiAxMjggMCBSCi9GOCAxMjkgMCBSCj4+Ci9YT2JqZWN0IDw8Ci9JbTggMTUzIDAgUgo+PgovUHJvY1NldCBbL1BERiAvVGV4dF0KPj4KZW5kb2JqCjkxIDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovQm9yZGVyIFswIDAgMV0KL0ggL0kKL0MgWzAgMSAwXQovUmVjdCBbMjEyLjQ4OSA0MTUuMDA1IDIyNC40NDQgNDIzLjQxOF0KL0EgPDwKL1MgL0dvVG8KL0QgKGNpdGUuREJMUDpqb3VybmFscy9pZWljZXQvUm9kcmlndWV6RlAwNykKPj4KPj4KZW5kb2JqCjkyIDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovQm9yZGVyIFswIDAgMV0KL0ggL0kKL0MgWzAgMSAwXQovUmVjdCBbMjI1LjIxOSA0MTUuMDA1IDIzNy4xNzQgNDIzLjQxOF0KL0EgPDwKL1MgL0dvVG8KL0QgKGNpdGUuREJMUDpjb25mL0lFRUVjaXQvU2FuZ1oxNSkKPj4KPj4KZW5kb2JqCjkzIDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovQm9yZGVyIFswIDAgMV0KL0ggL0kKL0MgWzAgMSAwXQovUmVjdCBbMjExLjU3NyAzNzkuMTQgMjIzLjUzMiAzODcuNTUzXQovQSA8PAovUyAvR29UbwovRCAoY2l0ZS5EQkxQOmNvbmYvSUVFRWFyZXMvTWVuemVsVE0wOSkKPj4KPj4KZW5kb2JqCjk0IDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovQm9yZGVyIFswIDAgMV0KL0ggL0kKL0MgWzAgMSAwXQovUmVjdCBbMjQ1LjQwNiAzNzkuMTQgMjUyLjM4IDM4Ny41NTNdCi9BIDw8Ci9TIC9Hb1RvCi9EIChjaXRlLkRCTFA6Y29uZi9icG1uL0NoZXJkYW50c2V2YUhSMTIpCj4+Cj4+CmVuZG9iago5NSAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0JvcmRlciBbMCAwIDFdCi9IIC9JCi9DIFswIDEgMF0KL1JlY3QgWzI4NC4zNTYgMzY3LjE4NSAyOTEuMzMgMzc1LjU5OF0KL0EgPDwKL1MgL0dvVG8KL0QgKGNpdGUuREJMUDpqb3VybmFscy9pamlzbWQvQWx0dWhob3ZhTUExMykKPj4KPj4KZW5kb2JqCjk2IDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovQm9yZGVyIFswIDAgMV0KL0ggL0kKL0MgWzAgMSAwXQovUmVjdCBbMjY3LjE2MiAzNTUuMjMgMjc5LjExOCAzNjMuNjQzXQovQSA8PAovUyAvR29UbwovRCAoY2l0ZS5EQkxQOmNvbmYvYnBtL1B1bGxvbmVuTUIxNykKPj4KPj4KZW5kb2JqCjk3IDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovQm9yZGVyIFswIDAgMV0KL0ggL0kKL0MgWzAgMSAwXQovUmVjdCBbMTg2LjExNiAzMzEuMzE5IDE5OC4wNzEgMzM5LjczMl0KL0EgPDwKL1MgL0dvVG8KL0QgKGNpdGUuREJMUDpqb3VybmFscy9zb3N5bS9TYWxuaXRyaURHMTcpCj4+Cj4+CmVuZG9iago5OCAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0JvcmRlciBbMCAwIDFdCi9IIC9JCi9DIFswIDEgMF0KL1JlY3QgWzMxNS43MzYgMjgzLjQ5OSAzMjIuNzA5IDI5MS45MTFdCi9BIDw8Ci9TIC9Hb1RvCi9EIChjaXRlLkRCTFA6Y29uZi9tZWRpL0NoZXJndWlCMTgpCj4+Cj4+CmVuZG9iago5OSAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0JvcmRlciBbMCAwIDFdCi9IIC9JCi9DIFswIDEgMF0KL1JlY3QgWzMyMy40ODQgMjgzLjQ5OSAzMzUuNDM5IDI5MS45MTFdCi9BIDw8Ci9TIC9Hb1RvCi9EIChjaXRlLkRCTFA6Y29uZi9JRUVFY2l0L01haW5lc0xUWjE1KQo+Pgo+PgplbmRvYmoKMTAwIDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovQm9yZGVyIFswIDAgMV0KL0ggL0kKL0MgWzAgMSAwXQovUmVjdCBbMzU3LjY3MSAyODMuNDk5IDM2NC42NDUgMjkxLjkxMV0KL0EgPDwKL1MgL0dvVG8KL0QgKGNpdGUuNzkzMDYzMikKPj4KPj4KZW5kb2JqCjEwMSAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0JvcmRlciBbMCAwIDFdCi9IIC9JCi9DIFswIDEgMF0KL1JlY3QgWzQxOS45NiAyNTkuNTg4IDQyNi45MzQgMjY4LjAwMV0KL0EgPDwKL1MgL0dvVG8KL0QgKGNpdGUuREJMUDpjb25mL2FzdW5hbS9BeWVkRzEyKQo+Pgo+PgplbmRvYmoKMTAyIDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovQm9yZGVyIFswIDAgMV0KL0ggL0kKL0MgWzAgMSAwXQovUmVjdCBbMjA0Ljg3MyAyMzUuNjc4IDIxMS44NDcgMjQ0LjA5MV0KL0EgPDwKL1MgL0dvVG8KL0QgKGNpdGUuREJMUDpqb3VybmFscy9pdC9CcnVja2VyMTMpCj4+Cj4+CmVuZG9iagoxMDMgMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9Cb3JkZXIgWzAgMCAxXQovSCAvSQovQyBbMCAxIDBdCi9SZWN0IFs0MDQuNDM0IDIyMy43MjMgNDExLjQwOCAyMzIuMTM2XQovQSA8PAovUyAvR29UbwovRCAoY2l0ZS5EQkxQOmpvdXJuYWxzL2l0L0JydWNrZXIxMykKPj4KPj4KZW5kb2JqCjEwNCAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0JvcmRlciBbMCAwIDFdCi9IIC9JCi9DIFswIDEgMF0KL1JlY3QgWzQzNS41MiAyMjMuNzIzIDQ0Mi40OTQgMjMyLjEzNl0KL0EgPDwKL1MgL0dvVG8KL0QgKGNpdGUuREJMUDpjb25mL3NhYy9MYWJkYU1TMTQpCj4+Cj4+CmVuZG9iagoxMDUgMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9Cb3JkZXIgWzAgMCAxXQovSCAvSQovQyBbMCAxIDBdCi9SZWN0IFsxOTEuNzQzIDE0MC4wMzcgMjAzLjY5OCAxNDguNDQ5XQovQSA8PAovUyAvR29UbwovRCAoY2l0ZS5EQkxQOmNvbmYvaWZpcDgtMS9Sb2JvbFNHMTcpCj4+Cj4+CmVuZG9iagoxMDYgMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9Cb3JkZXIgWzAgMCAxXQovSCAvSQovQyBbMCAxIDBdCi9SZWN0IFsyMDQuNDczIDE0MC4wMzcgMjE2LjQyOCAxNDguNDQ5XQovQSA8PAovUyAvR29UbwovRCAoY2l0ZS5EQkxQOmNvbmYvYmlyL1RvbVNNMTgpCj4+Cj4+CmVuZG9iagoxMDcgMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9Cb3JkZXIgWzAgMCAxXQovSCAvSQovQyBbMCAxIDBdCi9SZWN0IFsyMzcuNDU4IDE0MC4wMzcgMjQ5LjQxMyAxNDguNDQ5XQovQSA8PAovUyAvR29UbwovRCAoY2l0ZS5EQkxQOmNvbmYvaWZpcDgtMS9Sb2JvbFNHMTcpCj4+Cj4+CmVuZG9iagoxMDggMCBvYmoKPDwKL0xlbmd0aCAzMDk4Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeNqVWct22zgS3ecrtLN0jsnw/chOtuVE6cj2WE7mzKR7AUuwhGmK1PDhxOmfn3oAFKlQac9GBAogCNyqulUFOaPNyBm9f3Px8ObttR+MEjuNomD08DRy/cCOo3AUpZ7tOuHoYT36Ona9ieVFYTJe2hPLD/zxdFNUtcpllikUeGNZ84DI7MkfDx/fOPoDb6+TUQqLexEu7owsL7RTx+dlxcQKfHe8K2D1eLyWmco3LMpEvmnERnJP5GtsOOaFUoqqyNvJT+UE5uwmljuW3yZeMi7KP21+YZ7zlK9u8sc5N+ut1Is19bYoK5buS1nJHF+ucf+4U9e10zBsd+onCe80wZ1yv3ji5/uru3tu1VuBSCTpeA+bKosJHOxZrWXFw3qdZ1U1wqyBH33GebJ8VnCA3sq0W3qzqvjjKyVqVeR6wUeSAfrwS2eXBEPeO0TEh9DnU7XC7Xiwx7X83XGDXAK8XuqMVc5i+ig2MrlRVUbfYwFpQk9RJb+1gs3UpVC8emXzhPkTP1fFbi9K84Vvqt6y/KsbnJNSBtDm7wchKFJtVC4yRed70UJcOYjGRVOyQOz3ZSFWOGXLkoxPCC06Ejxxk6CGkowG3xYtYrC7XFZVd/FQaxQnHh1v0DpQ5b4PcFZqk1u12slzlATjdcNfxNGLO34ejAiGzllGuOILOVhNUXNbVHqQu2jlDa/OAlVVjSR3G7mBnQZBf1e3hE/o4Clj9AnurQRCErrGdFgqv9cyX5OaYIhQA+lO5AZ4kIpqz6+sWMsw4XqS+LA0j8vvYrfP8Og4ZD5DK1fqeWI+5oK1h6CATK2FRbu3hrbPRuc7EfuCE2tfAMFe1LUsyQVALDagnKrmoUyUG1nywEpU+oWqbtZkEihWFQtX6CllA6hSSyGJZPpLBU+pyZvM2vr74KjgNT6goA9F1jNgFsXTkTsZV4d3SpFl2qU61qt956bIJbyUkVW6YwQ0SViN0ngVm7P5gNIObehPL10Zr+Wn2rECi7IWmutIjiRQVvUQZ1S1pHd8xAS+rz1mXbFQ6DEg0qLZkGsHYKQAJWyONl9PiL/Z72CQQfHH24Id0KxNg4+NytYsQge0ek7KUwAsihakMwBIVuQBb6/daMTgeybSpLaXalXcyycJbr6S1VF06sW+wI6cGM6f2lHi6cjXD2ejr1YItjvN6mYLB9tqjYZghRRe0vGtjY3AGS9E3WTyWa1UU2nRva0nTbc7udbCG/udFuYsmLHDFLqLgOHwRVMp5imU3hEMYAgStqHNz4WIHaSwfwdgSHn/C562xmmZDtHENdC4KWqkdhjJWfCEnoyNpVwBcQHppuj7KLlX1Z8c6Rcih8C8M8HSHeuUYP5xvlxcsS6CuIOqFyS2A9pxeEcBT+kBH9o+pBp6wu9O6ATw4/K62IWveOByJOypA7MSO4jpzL6r0wpvWGcveByC3YsgZNsXtmlugUxE0dTK+gCkLLV4iYrBBmMNkZfMjWVfKFJja9GlcxaRjcNzvm5DLkFplRKCKZEsLausn/WW8BnYplaAfpD2dA+9OS8qy0LzcSkelYmR73jOZTfeoeBzJUtr2UCes2uXBfaOABF4nzZFax9tueWEjk090GvMWLlaEWmiYRhT0/3WznjNlNdM2KI83CF9qBSrmiU3clPUnN0Ym8rf8dB0eXszXZxhHmpswkOrcL0Bm+jg2dqEP2gTFwJwxRAMB7qyTUNyZCxURZJ4vEQr1+0PwFDyscTDAblp4QOaCr57m/Nz35SaaikEgYTRgLmPxqtAmEu0qYPmUIYJU6YEcNVJp25yon5EgmMSIIR8qVG7hpQphzRR6+GyfNnXxaYU+23HoVvtXIla8MTW6xPW+7Efh67txb5xUzcZcGTXJ+rseDL4bTLkt3EM5UWglaTJNhhWUtmscON/kv+WBDlYhH3FoHutP4BC4JQ1J1zJ0XlA4o6nlMGklMHwHMWWWXDv4GfY6/o9Sw4mjgkQrjjPgTStk5ra6dwZgW7dJgW3KbJiMwRynNpx0AIYhkMYO3bkdiGO+mR5gildx7NDx+27RTiI+CVGWxdAS0JOPiDe4OaJEKHDJuPFKUbjGhOhItdDgh979GqmBpy2aYCLeIRDvTP+/Jt+gSoKmDP7zIJMIELfbO7dfgd81/qVHBMutIGqY6WDuN9BOUfeSySyOkSpX5hkjza0RUbD+GwRnnKtk6hKthmAF4fjf9m6AVRRF7nufDTSe4ifunlrXxOk0HxArAs6eSfDggEyYnlxt7jhvsWPaQaVBgcc6NHwKSy45uqRBVlt1zanUEoAp2EuLI/4ATeApzU58oHDgTuKHRZGhxyA+dqnDWm29gzmr6Xq+FeYgyWhWiEBXNgz4mQPGALypUxBsSL12NJeEDnA2JQfXxBfLDn0G4QnTu1kWzjAKRA0IFQyV0CyzIyCQsDitLMfZUzyv40qOVFKx8Q3CAzUJGuGxWB/+fLIpFQO0DBJbtnOkDOMW9pGkRrwxexqfgaU3AX8tUaeDAL+SXAYXKO1gnLG/7R1YyG3YB3/UfJZC27MyBIKQKEK3Ws5g17qp0kooroOnvtSmXSnzfhTzvhx+PFAyjS5OK0Bk6EhIipnMLSqA64yUKJJi4UmhaqKXOgEeQ30dozvcop7ujyDSlW/t9dTXD9N/3IDJ+wRTPBKY08HsV8I9DQ49DkXnJf2J1s3/73FhL3RvQsjpuAi+D7B6WQs2N4q3foHKQMq2emaCzIqn1n0sFXIsyi5UrvWJbDsLfS3GEiQiNP1htDmKIlMtCpI0eQS5poNk0HaQGv/yVieLj6OXMmwDWKk9XMll7MzN+rpAIajITVEdgzlbc8FoP2zHkLUg1aCG7ZKgOanjC8aZZa95NbH4jDpykzpKgS6SyMH/TW6ecG+ERJH4Qe6ROCGx0CApEMEOvYdztKqoK3iUGEWLIL20iUUn0gPwUMlV8fcfTl/OMPUum/Q4d8hqQ3adYeRlPkPmWHcC5C6z/lu7WELAaTSnbmRLiTeLOvOJUXIIDqiRZT8zLC4+NJcUim81liZy0uYr3KzUgllubROInhbKr2m1EGwkxgGXqf4rrSFL+iWo1MXH/PH9H62PHPSLj876WuN0xuE9I4sEMpA8CgCC0KHPbV1E8r0fAtpRK3712bgNtPXVqoUE75cwgOYYbLbomRCrs3CH1gLHpoqrYazSrGTnQsnEFNyh5Uc0fiz2kBheRJlzkb8EAvhQ7mLggdefS2tAm/aKpayXUPjQwOh3rrUSNPdMooXgnTWPEHqSdeuNstZB/idexy/tb7MOFKC6FeRcsi4/WFNNFkGHMCpXqrjnu4cXQN5ccLXQDh2QfEc0ki+RtLDV5wTwjozC134HYs7KFkzUC0UiDpzRuMcMGZ9k5C3RnpUzwTdoNxL+jxzNfRTHQ77OXPjHjHEr8UuGMTuvmDSK9Dhg9BlSwxCB5KJLFd1qY7l71VRblRu5G2WgR223k4OsWY53SZe6sqaPJvlS/OfSmFRBm7KMypdThnu8qWq5a56d4xhG9E+oWOZP7B6yfQ9DBz+vKJi/diTjpnj7nZmMPdejblhjvAE5lzGlhPXDWBNz58EjoMNZ9PIH3QxGYyntm7wNVGZ08TQxePQBe8PayEhjxB62szMv1OirrWCoEupOC3ID84j6I3uTWfADo4NZIZT4JsSHIE0qWTQppJHubM7mIbDfEoO3R6vu36P1yXFRRDOZ/PLGTfJREp76G4kTmwvjk1VnjqvqdvNJadrfMkZ0qvvhHYU+EfOFA0qtusykXGZCAv2bK/EDy2+NuKuJ0VU44fsSfgK/ZfF14fQragM5fcPCTmO7HugsYxKzpPuI1doAtrOl8VTfZTzd4mIfW3I035WghuH9uF6Kjqlgp4O6KbknL8V+/Ffcfj37OY5nh1F8ZGrxSc0QilgCMT9m01JIOb3Ogmk2y0EHIfZLVDUz/tQMvtu/kphf6n4FXIYHP8gRVZvVwQf9ruGbLMI+eSURjDj43TP+7/TvWTw2HydscMzQr1Adx/YWPI/nticGRmlTr0YidJ7ggUalwUEun1Nf5fTQLeG0MldqP8kDM2fdNhAyn/3Oho5IunpHsLEirbVXpBcAYfQPddQ8XExv9e19y8umMxz9vDmf5uDcWINCmVuZHN0cmVhbQplbmRvYmoKMTA5IDAgb2JqCjw8Ci9MZW5ndGggMTcyCj4+CnN0cmVhbQ0KQlQKL0Y1IDQgVGYKMSAwIDAgMSA1MCA1IFRtCjAuNzA1ODggMC43MDU4OCAwLjcwNTg4IHJnCihWaWV3IHB1YmxpY2F0aW9uIHN0YXRzKSBUagpFVApCVAovRjUgNCBUZgoxIDAgMCAxIDUwIDUgVG0KMC43MDU4OCAwLjcwNTg4IDAuNzA1ODggcmcKKFZpZXcgcHVibGljYXRpb24gc3RhdHMpIFRqCkVUCg0KZW5kc3RyZWFtCmVuZG9iagoxMTAgMCBvYmoKPDwKL0NvbG9yU3BhY2UgMTI1IDAgUgovUGF0dGVybiAxMjYgMCBSCi9FeHRHU3RhdGUgMTI3IDAgUgovRm9udCA8PAovRjM0IDEzMiAwIFIKL0Y4IDEyOSAwIFIKL0YxNiAxMjggMCBSCi9GNDcgMTM1IDAgUgovRjUgMTU0IDAgUgo+PgovUHJvY1NldCBbL1BERiAvVGV4dF0KPj4KZW5kb2JqCjExMSAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0JvcmRlciBbMCAwIDFdCi9IIC9JCi9DIFswIDEgMF0KL1JlY3QgWzM3My4yOTYgNjY1LjIwNSAzODUuMjUxIDY3My42MThdCi9BIDw8Ci9TIC9Hb1RvCi9EIChjaXRlLkRCTFA6Y29uZi9iaXIvVG9tU00xOCkKPj4KPj4KZW5kb2JqCjExMiAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0JvcmRlciBbMCAwIDFdCi9IIC9JCi9DIFswIDEgMF0KL1JlY3QgWzQ1MS4zNjcgNjQxLjI5NSA0NjMuMzIzIDY0OS43MDhdCi9BIDw8Ci9TIC9Hb1RvCi9EIChjaXRlLkRCTFA6Y29uZi9pZmlwOC0xL1JvYm9sU0cxNykKPj4KPj4KZW5kb2JqCjExMyAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0JvcmRlciBbMCAwIDFdCi9IIC9JCi9DIFswIDEgMF0KL1JlY3QgWzQ2NC4wOTggNjQxLjI5NSA0NzYuMDUzIDY0OS43MDhdCi9BIDw8Ci9TIC9Hb1RvCi9EIChjaXRlLkRCTFA6Y29uZi9iaXIvVG9tU00xOCkKPj4KPj4KZW5kb2JqCjExNCAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0NvbnRlbnRzIChWaWV3IHB1YmxpY2F0aW9uIHN0YXRzKQovQyBbMS4wIDEuMCAxLjBdCi9SZWN0IFs0Ny4wIDMuMCA5NS4wIDEwLjBdCi9BIDE1NSAwIFIKL0YgNjQKPj4KZW5kb2JqCjExNSAwIG9iago8PAovTmFtZXMgWyhEb2MtU3RhcnQpIDE1NiAwIFIgKEhmb290bm90ZS4xKSAxNTcgMCBSIChIZm9vdG5vdGUuMikgMTU4IDAgUiAoY2hhcHRlci4xKSAxNTkgMCBSIChjaXRlLjc5MzA2MzIpIDE2MCAwIFIKKGNpdGUuREJMUDpjb25mL0lFRUVhcmVzL01lbnplbFRNMDkpIDE2MSAwIFJdCi9MaW1pdHMgWyhEb2MtU3RhcnQpIChjaXRlLkRCTFA6Y29uZi9JRUVFYXJlcy9NZW56ZWxUTTA5KV0KPj4KZW5kb2JqCjExNiAwIG9iago8PAovTmFtZXMgWyhjaXRlLkRCTFA6Y29uZi9JRUVFY2l0L01haW5lc0xUWjE1KSAxNjIgMCBSIChjaXRlLkRCTFA6Y29uZi9JRUVFY2l0L1NhbmdaMTUpIDE2MyAwIFIgKGNpdGUuREJMUDpjb25mL2FzdW5hbS9BeWVkRzEyKSAxNjQgMCBSIChjaXRlLkRCTFA6Y29uZi9iaXIvVG9tU00xOCkgMTY1IDAgUiAoY2l0ZS5EQkxQOmNvbmYvYnBtL1B1bGxvbmVuTUIxNykgMTY2IDAgUgooY2l0ZS5EQkxQOmNvbmYvYnBtbi9DaGVyZGFudHNldmFIUjEyKSAxNjcgMCBSXQovTGltaXRzIFsoY2l0ZS5EQkxQOmNvbmYvSUVFRWNpdC9NYWluZXNMVFoxNSkgKGNpdGUuREJMUDpjb25mL2JwbW4vQ2hlcmRhbnRzZXZhSFIxMildCj4+CmVuZG9iagoxMTcgMCBvYmoKPDwKL05hbWVzIFsoY2l0ZS5EQkxQOmNvbmYvaWZpcDUtNS9QZXRlcnNlbk1PVDE4KSAxNjggMCBSIChjaXRlLkRCTFA6Y29uZi9pZmlwOC0xL1JvYm9sU0cxNykgMTY5IDAgUiAoY2l0ZS5EQkxQOmNvbmYvbWVkaS9DaGVyZ3VpQjE4KSAxNzAgMCBSIChjaXRlLkRCTFA6Y29uZi9zYWMvTGFiZGFNUzE0KSAxNzEgMCBSIChjaXRlLkRCTFA6am91cm5hbHMvaWVpY2V0L1JvZHJpZ3VlekZQMDcpIDE3MiAwIFIKKGNpdGUuREJMUDpqb3VybmFscy9pamlzbWQvQWx0dWhob3ZhTUExMykgMTczIDAgUl0KL0xpbWl0cyBbKGNpdGUuREJMUDpjb25mL2lmaXA1LTUvUGV0ZXJzZW5NT1QxOCkgKGNpdGUuREJMUDpqb3VybmFscy9pamlzbWQvQWx0dWhob3ZhTUExMyldCj4+CmVuZG9iagoxMTggMCBvYmoKPDwKL05hbWVzIFsoY2l0ZS5EQkxQOmpvdXJuYWxzL2l0L0JydWNrZXIxMykgMTc0IDAgUiAoY2l0ZS5EQkxQOmpvdXJuYWxzL3Nvc3ltL1NhbG5pdHJpREcxNykgMTc1IDAgUiAoY2l0ZS5iYXNpbjIwMThwdXJwb3NlKSAxNzYgMCBSIChjaXRlLmNhcmV5MjAxOGRhdGEpIDE3NyAwIFIgKGZpZ3VyZS4xLjEpIDE3OCAwIFIKKGZpZ3VyZS4xLjIpIDE3OSAwIFJdCi9MaW1pdHMgWyhjaXRlLkRCTFA6am91cm5hbHMvaXQvQnJ1Y2tlcjEzKSAoZmlndXJlLjEuMildCj4+CmVuZG9iagoxMTkgMCBvYmoKPDwKL05hbWVzIFsoZmlndXJlLjEuMykgMTgwIDAgUiAoZmlndXJlLjEuNCkgMTgxIDAgUiAoZmlndXJlLjEuNSkgMTgyIDAgUiAoZmlndXJlLjEuNikgMTgzIDAgUiAoZmlndXJlLjEuNykgMTg0IDAgUgooZmlndXJlLjEuOCkgMTg1IDAgUl0KL0xpbWl0cyBbKGZpZ3VyZS4xLjMpIChmaWd1cmUuMS44KV0KPj4KZW5kb2JqCjEyMCAwIG9iago8PAovTmFtZXMgWyhwYWdlLjEpIDE4NiAwIFIgKHBhZ2UuMTApIDE4NyAwIFIgKHBhZ2UuMTEpIDE4OCAwIFIgKHBhZ2UuMTIpIDE4OSAwIFIgKHBhZ2UuMikgMTkwIDAgUgoocGFnZS4zKSAxOTEgMCBSXQovTGltaXRzIFsocGFnZS4xKSAocGFnZS4zKV0KPj4KZW5kb2JqCjEyMSAwIG9iago8PAovTmFtZXMgWyhwYWdlLjQpIDE5MiAwIFIgKHBhZ2UuNSkgMTkzIDAgUiAocGFnZS42KSAxOTQgMCBSIChwYWdlLjcpIDE5NSAwIFIgKHBhZ2UuOCkgMTk2IDAgUgoocGFnZS45KSAxOTcgMCBSXQovTGltaXRzIFsocGFnZS40KSAocGFnZS45KV0KPj4KZW5kb2JqCjEyMiAwIG9iago8PAovTmFtZXMgWyhzZWN0aW9uKi4xKSAxOTggMCBSIChzZWN0aW9uKi4yKSAxOTkgMCBSIChzZWN0aW9uLjEuMSkgMjAwIDAgUiAoc2VjdGlvbi4xLjIpIDIwMSAwIFIgKHNlY3Rpb24uMS4zKSAyMDIgMCBSCihzZWN0aW9uLjEuNCkgMjAzIDAgUl0KL0xpbWl0cyBbKHNlY3Rpb24qLjEpIChzZWN0aW9uLjEuNCldCj4+CmVuZG9iagoxMjMgMCBvYmoKPDwKL05hbWVzIFsoc2VjdGlvbi4xLjUpIDIwNCAwIFIgKHN1YnNlY3Rpb24uMS40LjEpIDIwNSAwIFIgKHN1YnNlY3Rpb24uMS40LjIpIDIwNiAwIFIgKHN1YnNlY3Rpb24uMS40LjMpIDIwNyAwIFIgKHN1YnNlY3Rpb24uMS40LjQpIDIwOCAwIFIKKHN1YnNlY3Rpb24uMS40LjUpIDIwOSAwIFJdCi9MaW1pdHMgWyhzZWN0aW9uLjEuNSkgKHN1YnNlY3Rpb24uMS40LjUpXQo+PgplbmRvYmoKMTI0IDAgb2JqCjw8Ci9OYW1lcyBbKHN1YnNlY3Rpb24uMS40LjYpIDIxMCAwIFIgKHN1YnNlY3Rpb24uMS40LjcpIDIxMSAwIFJdCi9MaW1pdHMgWyhzdWJzZWN0aW9uLjEuNC42KSAoc3Vic2VjdGlvbi4xLjQuNyldCj4+CmVuZG9iagoxMjUgMCBvYmoKPDwKL3BnZnByZ2IgWy9QYXR0ZXJuIC9EZXZpY2VSR0JdCj4+CmVuZG9iagoxMjYgMCBvYmoKPDwKPj4KZW5kb2JqCjEyNyAwIG9iago8PAo+PgplbmRvYmoKMTI4IDAgb2JqCjw8Ci9UeXBlIC9Gb250Ci9TdWJ0eXBlIC9UeXBlMQovQmFzZUZvbnQgL1FCTklLRitDTUJYMTIKL0ZvbnREZXNjcmlwdG9yIDIxMiAwIFIKL0ZpcnN0Q2hhciA0NQovTGFzdENoYXIgMTIxCi9XaWR0aHMgWzM3NSAzMTIuNSA1NjIuNSA1NjIuNSA1NjIuNSA1NjIuNSA1NjIuNSA1NjIuNSA1NjIuNSA1NjIuNQo1NjIuNSA1NjIuNSA1NjIuNSAzMTIuNSAzMTIuNSAzNDIuNiA4NzUgNTMxLjIgNTMxLjIgODc1Cjg0OS41IDc5OS44IDgxMi41IDg2Mi4zIDczOC40IDcwNy4yIDg4NC4zIDg3OS42IDQxOSA1ODEKODgwLjggNjc1LjkgMTA2Ny4xIDg3OS42IDg0NC45IDc2OC41IDg0NC45IDgzOS4xIDYyNSA3ODIuNAo4NjQuNiA4NDkuNSAxMTYyIDg0OS41IDg0OS41IDY4Ny41IDMxMi41IDU4MSAzMTIuNSA1NjIuNQozMTIuNSAzMTIuNSA1NDYuOSA2MjUgNTAwIDYyNSA1MTMuMyAzNDMuNyA1NjIuNSA2MjUKMzEyLjUgMzQzLjcgNTkzLjcgMzEyLjUgOTM3LjUgNjI1IDU2Mi41IDYyNSA1OTMuNyA0NTkuNQo0NDMuOCA0MzcuNSA2MjUgNTkzLjcgODEyLjUgNTkzLjcgNTkzLjddCj4+CmVuZG9iagoxMjkgMCBvYmoKPDwKL1R5cGUgL0ZvbnQKL1N1YnR5cGUgL1R5cGUxCi9CYXNlRm9udCAvTkZTVFZLK0NNUjEwCi9Gb250RGVzY3JpcHRvciAyMTMgMCBSCi9GaXJzdENoYXIgMTEKL0xhc3RDaGFyIDEyMgovV2lkdGhzIFs1ODMuMyA1NTUuNiA1NTUuNiA4MzMuMyA4MzMuMyAyNzcuOCAzMDUuNiA1MDAgNTAwIDUwMAo1MDAgNTAwIDc1MCA0NDQuNCA1MDAgNzIyLjIgNzc3LjggNTAwIDkwMi44IDEwMTMuOQo3NzcuOCAyNzcuOCAyNzcuOCA1MDAgODMzLjMgNTAwIDgzMy4zIDc3Ny44IDI3Ny44IDM4OC45CjM4OC45IDUwMCA3NzcuOCAyNzcuOCAzMzMuMyAyNzcuOCA1MDAgNTAwIDUwMCA1MDAKNTAwIDUwMCA1MDAgNTAwIDUwMCA1MDAgNTAwIDI3Ny44IDI3Ny44IDI3Ny44Cjc3Ny44IDQ3Mi4yIDQ3Mi4yIDc3Ny44IDc1MCA3MDguMyA3MjIuMiA3NjMuOSA2ODAuNiA2NTIuOAo3ODQuNyA3NTAgMzYxLjEgNTEzLjkgNzc3LjggNjI1IDkxNi43IDc1MCA3NzcuOCA2ODAuNgo3NzcuOCA3MzYuMSA1NTUuNiA3MjIuMiA3NTAgNzUwIDEwMjcuOCA3NTAgNzUwIDYxMS4xCjI3Ny44IDUwMCAyNzcuOCA1MDAgMjc3LjggMjc3LjggNTAwIDU1NS42IDQ0NC40IDU1NS42CjQ0NC40IDMwNS42IDUwMCA1NTUuNiAyNzcuOCAzMDUuNiA1MjcuOCAyNzcuOCA4MzMuMyA1NTUuNgo1MDAgNTU1LjYgNTI3LjggMzkxLjcgMzk0LjQgMzg4LjkgNTU1LjYgNTI3LjggNzIyLjIgNTI3LjgKNTI3LjggNDQ0LjRdCj4+CmVuZG9iagoxMzAgMCBvYmoKPDwKL1R5cGUgL0ZvbnQKL1N1YnR5cGUgL1R5cGUxCi9CYXNlRm9udCAvTkxLU1NTK0NNUjcKL0ZvbnREZXNjcmlwdG9yIDIxNCAwIFIKL0ZpcnN0Q2hhciA0OQovTGFzdENoYXIgNTIKL1dpZHRocyBbNTY5LjUgNTY5LjUgNTY5LjUgNTY5LjVdCj4+CmVuZG9iagoxMzEgMCBvYmoKPDwKL1R5cGUgL0ZvbnQKL1N1YnR5cGUgL1R5cGUxCi9CYXNlRm9udCAvVVpWQlBQK0NNUjYKL0ZvbnREZXNjcmlwdG9yIDIxNSAwIFIKL0ZpcnN0Q2hhciA0OQovTGFzdENoYXIgNTIKL1dpZHRocyBbNjExLjEgNjExLjEgNjExLjEgNjExLjFdCj4+CmVuZG9iagoxMzIgMCBvYmoKPDwKL1R5cGUgL0ZvbnQKL1N1YnR5cGUgL1R5cGUxCi9CYXNlRm9udCAvWUxWSVhNK0NNUjkKL0ZvbnREZXNjcmlwdG9yIDIxNiAwIFIKL0ZpcnN0Q2hhciAxMQovTGFzdENoYXIgMTIzCi9XaWR0aHMgWzU5OS41IDU3MSA1NzEgODU2LjUgODU2LjUgMjg1LjUgMzE0IDUxMy45IDUxMy45IDUxMy45CjUxMy45IDUxMy45IDc3MC43IDQ1Ni44IDUxMy45IDc0Mi4zIDc5OS40IDUxMy45IDkyNy44IDEwNDIKNzk5LjQgMjg1LjUgMjg1LjUgNTEzLjkgODU2LjUgNTEzLjkgODU2LjUgNzk5LjQgMjg1LjUgMzk5LjcKMzk5LjcgNTEzLjkgNzk5LjQgMjg1LjUgMzQyLjYgMjg1LjUgNTEzLjkgNTEzLjkgNTEzLjkgNTEzLjkKNTEzLjkgNTEzLjkgNTEzLjkgNTEzLjkgNTEzLjkgNTEzLjkgNTEzLjkgMjg1LjUgMjg1LjUgMjg1LjUKNzk5LjQgNDg1LjMgNDg1LjMgNzk5LjQgNzcwLjcgNzI3LjkgNzQyLjMgNzg1IDY5OS40IDY3MC44CjgwNi41IDc3MC43IDM3MSA1MjguMSA3OTkuMiA2NDIuMyA5NDIgNzcwLjcgNzk5LjQgNjk5LjQKNzk5LjQgNzU2LjUgNTcxIDc0Mi4zIDc3MC43IDc3MC43IDEwNTYuMiA3NzAuNyA3NzAuNyA2MjguMQoyODUuNSA1MTMuOSAyODUuNSA1MTMuOSAyODUuNSAyODUuNSA1MTMuOSA1NzEgNDU2LjggNTcxCjQ1Ny4yIDMxNCA1MTMuOSA1NzEgMjg1LjUgMzE0IDU0Mi40IDI4NS41IDg1Ni41IDU3MQo1MTMuOSA1NzEgNTQyLjQgNDAyIDQwNS40IDM5OS43IDU3MSA1NDIuNCA3NDIuMyA1NDIuNAo1NDIuNCA0NTYuOCA1MTMuOV0KPj4KZW5kb2JqCjEzMyAwIG9iago8PAovVHlwZSAvRm9udAovU3VidHlwZSAvVHlwZTEKL0Jhc2VGb250IC9EUktXQUQrQ01TWTkKL0ZvbnREZXNjcmlwdG9yIDIxNyAwIFIKL0ZpcnN0Q2hhciAxCi9MYXN0Q2hhciAxMDMKL1dpZHRocyBbMjg1LjUgNzk5LjQgNTEzLjkgNzk5LjQgNTEzLjkgNzk5LjQgNzk5LjQgNzk5LjQgNzk5LjQgNzk5LjQKNzk5LjQgNzk5LjQgMTAyNy44IDUxMy45IDUxMy45IDc5OS40IDc5OS40IDc5OS40IDc5OS40IDc5OS40Cjc5OS40IDc5OS40IDc5OS40IDc5OS40IDc5OS40IDc5OS40IDc5OS40IDEwMjcuOCAxMDI3LjggNzk5LjQKNzk5LjQgMTAyNy44IDEwMjcuOCA1MTMuOSA1MTMuOSAxMDI3LjggMTAyNy44IDEwMjcuOCA3OTkuNCAxMDI3LjgKMTAyNy44IDYyOC4xIDYyOC4xIDEwMjcuOCAxMDI3LjggMTAyNy44IDc5OS40IDI3OS4zIDEwMjcuOCA2ODUuMgo2ODUuMiA5MTMuNiA5MTMuNiAwIDAgNTcxIDU3MSA2ODUuMiA1MTMuOSA3NDIuMwo3NDIuMyA3OTkuNCA3OTkuNCA2MjguMSA4MjEuMSA2NzMuNiA1NDIuNiA3OTMuOCA1NDIuNCA3MzYuMwo2MTAuOSA4NzEgNTYyLjcgNjk2LjYgNzgyLjIgNzA3LjkgMTIyOS4yIDg0Mi4xIDgxNi4zIDcxNi44CjgzOS4zIDg3My45IDYyMi40IDU2My4yIDY0Mi4zIDYzMi4xIDEwMTcuNSA3MzIuNCA2ODUgNzQyCjY4NS4yIDY4NS4yIDY4NS4yIDY4NS4yIDY4NS4yIDYyOC4xIDYyOC4xIDQ1Ni44IDQ1Ni44IDQ1Ni44CjQ1Ni44IDUxMy45IDUxMy45XQo+PgplbmRvYmoKMTM0IDAgb2JqCjw8Ci9UeXBlIC9Gb250Ci9TdWJ0eXBlIC9UeXBlMQovQmFzZUZvbnQgL1hLSUhXSytDTVRUOQovRm9udERlc2NyaXB0b3IgMjE4IDAgUgovRmlyc3RDaGFyIDQ0Ci9MYXN0Q2hhciAxMTcKL1dpZHRocyBbNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1CjUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNQo1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUKNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1CjUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNQo1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUKNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1CjUyNSA1MjUgNTI1IDUyNV0KPj4KZW5kb2JqCjEzNSAwIG9iago8PAovVHlwZSAvRm9udAovU3VidHlwZSAvVHlwZTEKL0Jhc2VGb250IC9GSlRKREErQ01CWDkKL0ZvbnREZXNjcmlwdG9yIDIxOSAwIFIKL0ZpcnN0Q2hhciA0NgovTGFzdENoYXIgMTIxCi9XaWR0aHMgWzMyOC43IDU5MS43IDU5MS43IDU5MS43IDU5MS43IDU5MS43IDU5MS43IDU5MS43IDU5MS43IDU5MS43CjU5MS43IDU5MS43IDMyOC43IDMyOC43IDM2MC4yIDkyMC40IDU1OC44IDU1OC44IDkyMC40IDg5Mi45Cjg0MC45IDg1NC42IDkwNi42IDc3Ni41IDc0My43IDkyOS45IDkyNC40IDQ0Ni4zIDYxMC44IDkyNS44CjcxMC44IDExMjEuNiA5MjQuNCA4ODguOSA4MDggODg4LjkgODg2LjcgNjU3LjQgODIzLjEgOTA4LjYKODkyLjkgMTIyMS42IDg5Mi45IDg5Mi45IDcyMy4xIDMyOC43IDYxNy42IDMyOC43IDU5MS43IDMyOC43CjMyOC43IDU3NS4yIDY1Ny40IDUyNS45IDY1Ny40IDU0MyAzNjEuNiA1OTEuNyA2NTcuNCAzMjguNwozNjEuNiA2MjQuNSAzMjguNyA5ODYuMSA2NTcuNCA1OTEuNyA2NTcuNCA2MjQuNSA0ODguMSA0NjYuOAo0NjAuMiA2NTcuNCA2MjQuNSA4NTQuNiA2MjQuNSA2MjQuNV0KPj4KZW5kb2JqCjEzNiAwIG9iago8PAovVHlwZSAvRm9udAovU3VidHlwZSAvVHlwZTEKL0Jhc2VGb250IC9GR0ZRVVkrQ01USTEwCi9Gb250RGVzY3JpcHRvciAyMjAgMCBSCi9GaXJzdENoYXIgMTIKL0xhc3RDaGFyIDEyMgovV2lkdGhzIFs1NjIuMiA1ODcuOCA4ODEuNyA4OTQuNCAzMDYuNyAzMzIuMiA1MTEuMSA1MTEuMSA1MTEuMSA1MTEuMQo1MTEuMSA4MzEuMyA0NjAgNTM2LjcgNzE1LjYgNzE1LjYgNTExLjEgODgyLjggOTg1IDc2Ni43CjI1NS42IDMwNi43IDUxNC40IDgxNy44IDc2OS4xIDgxNy44IDc2Ni43IDMwNi43IDQwOC45IDQwOC45CjUxMS4xIDc2Ni43IDMwNi43IDM1Ny44IDMwNi43IDUxMS4xIDUxMS4xIDUxMS4xIDUxMS4xIDUxMS4xCjUxMS4xIDUxMS4xIDUxMS4xIDUxMS4xIDUxMS4xIDUxMS4xIDMwNi43IDMwNi43IDMwNi43IDc2Ni43CjUxMS4xIDUxMS4xIDc2Ni43IDc0My4zIDcwMy45IDcxNS42IDc1NSA2NzguMyA2NTIuOCA3NzMuNgo3NDMuMyAzODUuNiA1MjUgNzY4LjkgNjI3LjIgODk2LjcgNzQzLjMgNzY2LjcgNjc4LjMgNzY2LjcKNzI5LjQgNTYyLjIgNzE1LjYgNzQzLjMgNzQzLjMgOTk4LjkgNzQzLjMgNzQzLjMgNjEzLjMgMzA2LjcKNTE0LjQgMzA2LjcgNTExLjEgMzA2LjcgMzA2LjcgNTExLjEgNDYwIDQ2MCA1MTEuMSA0NjAKMzA2LjcgNDYwIDUxMS4xIDMwNi43IDMwNi43IDQ2MCAyNTUuNiA4MTcuOCA1NjIuMiA1MTEuMQo1MTEuMSA0NjAgNDIxLjcgNDA4LjkgMzMyLjIgNTM2LjcgNDYwIDY2NC40IDQ2My45IDQ4NS42CjQwOC45XQo+PgplbmRvYmoKMTM3IDAgb2JqCjw8Ci9MZW5ndGggNzYwCi9UeXBlIC9YT2JqZWN0Ci9TdWJ0eXBlIC9JbWFnZQovV2lkdGggMzIwCi9IZWlnaHQgMzIwCi9Db2xvclNwYWNlIC9EZXZpY2VHcmF5Ci9CaXRzUGVyQ29tcG9uZW50IDgKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp4nO3WMapcZRjH4dGYuwCJaClYjpWtBNyCi7EQ3MMEMotIZyEEhNzWFTi9RMT+3sIiGY4BrWx/55w3eJ9nB/8fvB/f4QAAAAAAAAAAAAAAAAAAAAAAwPvqeLrcLd1fv56/mp4y4PHz6wrx/vXis+k5e3v8ar1677z+YnrQzp6vmm9Zfvt4etGujise7z9++mB6055Oa+dblu+mN+3psn6/N19Pj9rRGh+X//r9yfSq/WyQb1lePpwncJN+y/fTs3azTb+3T6d37WWbfssfn0wP28lG/ZafP5xeto+t+i0/TC/bx2b93n4zPW0Xm/Vb/vx0etsetuu3vHo0PW4HG/ZbXnw0vW57W/Zbfvlyet7mNu23vPnx28//3x+Zbfu9v+4vz1Y5jukdg67nG/2S2x5wesKss37J9ahfctIvueiX3OnX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX1H730wNm3dV+l+kFsy6132l6waxT7Xe8Tk+YdD3Wfofz9IZJ55zvcHM7PWLO7U3vd7g5P9ATvp7XyPfO8XR5cN+Y+8uz/vYBAAAAAAAAAAAAAAAAAAAAALCZvwEEJdmZDQplbmRzdHJlYW0KZW5kb2JqCjEzOCAwIG9iago8PAovVHlwZSAvRm9udAovRm9udERlc2NyaXB0b3IgMjIxIDAgUgovQmFzZUZvbnQgL1NvdXJjZVNhbnNQcm8tUmVndWxhcgovU3VidHlwZSAvQ0lERm9udFR5cGUyCi9DSURUb0dJRE1hcCAvSWRlbnRpdHkKL0NJRFN5c3RlbUluZm8gPDwKL1JlZ2lzdHJ5IChBZG9iZSkKL09yZGVyaW5nIChJZGVudGl0eSkKL1N1cHBsZW1lbnQgMAo+PgovVyBbMCBbMzY1LjIzNDM4XQogNSBbMjAxLjY2MDE2XQogMTcgWzI0OC41MzUxNiAzMTAuNTQ2ODggMjQ4LjUzNTE2IDM0OS42MDkzOF0KIDIxIDMwIDQ5Ni41ODIwMyAzMQpbMjQ4LjUzNTE2XQogMzggWzU0My45NDUzMSA1ODcuODkwNjMgNTcwLjgwMDc4IDYxNC43NDYwOSA1MjYuODU1NDcgNDkzLjY1MjM0IDYxNi42OTkyMiAwIDI2Mi42OTUzMSA0NzkuOTgwNDcKMCA0ODUuODM5ODQgNzI2LjU2MjUgNjQ2Ljk3MjY2IDY2My41NzQyMiA1NzUuNjgzNTkgMCA1ODAuNTY2NDEgNTMzLjY5MTQxIDUzNS42NDQ1Mwo2NDQuNTMxMjUgNTE0LjY0ODQ0XQogNjggWzUwMCAwIDUxMS43MTg3NSA1NTQuNjg3NSA0NTUuNTY2NDEgNTU0LjY4NzUgNDk1LjYwNTQ3IDI5MS45OTIxOSA1MDMuOTA2MjUgNTQzLjk0NTMxCjI0NS42MDU0NyAyNDYuNTgyMDMgMCAyNTQuODgyODEgODI4LjYxMzI4IDU0Ni44NzUgNTQxLjk5MjE5IDU1NC42ODc1IDU0OS44MDQ2OSAzNDYuNjc5NjkKNDE4Ljk0NTMxIDMzNy44OTA2MyA1NDMuOTQ1MzEgNDY2Ljc5Njg4IDcxNy43NzM0NCAwIDQ2Ni43OTY4OCA0MjQuODA0NjldCiAxMDAgWzIwMS42NjAxNl0KIDEyMyBbMjQ4LjUzNTE2XQpdCi9EVyAwCj4+CmVuZG9iagoxMzkgMCBvYmoKPDwKL0xlbmd0aCAzMjUKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp4nF1Sy2rDMBC86yt0TA/Blp8NGEOSJuBDH9TpBzjSOhXUspCdg/++0m6SQgXyMrszI61X0b55aYyeefThRtnCzHttlINpvDoJ/AwXbZhIuNJyviH8yqGzLPLidplmGBrTj6yqOI8+fXWa3cJXWzWe4YlF706B0+bCV1/71uP2au0PDGBmHrO65gp67/Ta2bduAB6hbN0oX9fzsvaaP8ZpscATxIJuI0cFk+0kuM5cgFWxXzWvjn7VDIz6V89Ide7ld+eQnXt2HCdxHVCWIcqPiApCW6qVO0S7En1vDpu73+N4IZAmnsl3j1pBWnHEkBaYTIo7JYRMUPJASWJmG0ym5JnSXTPyTEtKknWeUAPkmZG8IM+c5DkdVJA8P9xbDaHc3LqiPsKPCwN+TEVenfMDwVeAkwgz0AYeD8WONqjC/gUPRqY0DQplbmRzdHJlYW0KZW5kb2JqCjE0MCAwIG9iago8PAovVHlwZSAvRm9udAovRm9udERlc2NyaXB0b3IgMjIyIDAgUgovQmFzZUZvbnQgL01hcnRlbC1SZWd1bGFyCi9TdWJ0eXBlIC9DSURGb250VHlwZTIKL0NJRFRvR0lETWFwIC9JZGVudGl0eQovQ0lEU3lzdGVtSW5mbyA8PAovUmVnaXN0cnkgKEFkb2JlKQovT3JkZXJpbmcgKElkZW50aXR5KQovU3VwcGxlbWVudCAwCj4+Ci9XIFswIFszNjUuMjM0MzggMCAwIDIzMC45NTcwM10KIDM2IFs3MjkuOTgwNDcgNjkyLjg3MTA5IDY4OC45NjQ4NCA3NzcuODMyMDMgMCAwIDc1MF0KIDQ4IFs5NjUuODIwMzEgODExLjUyMzQ0IDAgNjMzLjc4OTA2IDAgNjkzLjg0NzY2XQogNjggWzU1OS41NzAzMSAwIDUxMS43MTg3NSA2MjAuNjA1NDcgNTU5LjU3MDMxIDQwOS42Njc5NyA1ODcuODkwNjMgNjg1LjU0Njg4IDMzMy45ODQzOCAwCjAgMzQwLjgyMDMxIDEwMTEuNzE4NzUgNjgyLjYxNzE5IDYwMS41NjI1IDY0NS45OTYwOSAwIDQ1MC42ODM1OSA1MTEuNzE4NzUgMAowIDU4MC41NjY0MV0KXQovRFcgMAo+PgplbmRvYmoKMTQxIDAgb2JqCjw8Ci9MZW5ndGggMzAwCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeJxdkd1qhDAQhe/zFLncXixq/KMgwuKy4EV/qO0DuMm4G6gxxHjh2zfO2C00oPBlcuYcZqKmPbdGex69u0l24PmgjXIwT4uTwK9w04Ylgist/U74l2NvWRTE3Tp7GFszTKyqOI8+QnX2buWHk5qu8MSiN6fAaXPjh6+mC9wt1n7DCMbzmNU1VzCETi+9fe1H4BHKjq0Kde3XY9D8vfhcLXCBnFAaOSmYbS/B9eYGrIrDqXl1CadmYNS/ekGq6yDvvcPXaXgdxyKuNxInpKxESqmWUy3NiQRSliEVCVL+jFQW6Ll3z3+9HtEEiURJLqRNY6Q0ocsztS+IGnJJ6fJCCShW0ZD1HosEpdgTkOc2gG1Rj+nKxbkwWNwmTnSbpTbwWLid7Kbavh+qp5qTDQplbmRzdHJlYW0KZW5kb2JqCjE0MiAwIG9iago8PAovVHlwZSAvRm9udAovRm9udERlc2NyaXB0b3IgMjIzIDAgUgovQmFzZUZvbnQgL1NvdXJjZVNhbnNQcm8tU2VtaWJvbGQKL1N1YnR5cGUgL0NJREZvbnRUeXBlMgovQ0lEVG9HSURNYXAgL0lkZW50aXR5Ci9DSURTeXN0ZW1JbmZvIDw8Ci9SZWdpc3RyeSAoQWRvYmUpCi9PcmRlcmluZyAoSWRlbnRpdHkpCi9TdXBwbGVtZW50IDAKPj4KL1cgWzAgWzM2NS4yMzQzOF0KIDUgWzIwNC41ODk4NF0KIDE3IFsyNzQuOTAyMzRdCiAyMSAzMCA1MTIuNjk1MzEgMzEKWzI3NC45MDIzNF0KIDQwIFs1NzUuNjgzNTldCiA1NiBbNTQ0LjkyMTg4XQogNzAgWzUyMi45NDkyMiA1NjMuOTY0ODQgNDYxLjkxNDA2IDU2My45NjQ4NCA1MDYuODM1OTQgMzE2Ljg5NDUzIDUxOS41MzEyNSA1NTcuNjE3MTkgMjYxLjcxODc1IDI2Mi42OTUzMQo1MjEuOTcyNjYgMjcwLjk5NjA5IDg0Mi43NzM0NCA1NTkuNTcwMzEgNTQ4LjgyODEzIDU2My45NjQ4NCAwIDM3Mi41NTg1OSA0MzAuNjY0MDYgMzYwLjgzOTg0CjU1NS42NjQwNiAwIDc0Ny41NTg1OV0KXQovRFcgMAo+PgplbmRvYmoKMTQzIDAgb2JqCjw8Ci9MZW5ndGggMjk1Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeJxdkc9ugzAMxu95Ch+7QwWhpeyAkCqqShz2R2N7AJqYLtIIUUgPvP2CjZi0SIB+tr/PwU7q5tJYEyB596NqMUBvrPY4jQ+vEG54N1bIDLRRYSV6q6FzIonidp4CDo3tR1GWAMlHzE7Bz7A76/GGTyJ58xq9sXfYfdVt5Pbh3A8OaAOkoqpAYx+dXjr32g0ICcn2jY55E+Z91PxVfM4OISOWfBs1apxcp9B39o6iTOOpoLzGUwm0+l8+Z9WtV9+dp+o8VqdpllYLSclUE2XPRMcD0YEpZ8proqKgLqvf5r5dRrK9PNHnsHZhJ3nmIBvKCwevHHym4JF1ObucJLcuOMjyIltvwD2XX15Ws81TPbyPo6T90QyX6RmL24rd6BbV8vwCPrCX7Q0KZW5kc3RyZWFtCmVuZG9iagoxNDQgMCBvYmoKPDwKL0xlbmd0aCA2MzYxNQovVHlwZSAvWE9iamVjdAovU3VidHlwZSAvRm9ybQovRm9ybVR5cGUgMQovUFRFWC5GaWxlTmFtZSAoLi9maWd1cmVzL2Nhc2Utc3R1ZHkucGRmKQovUFRFWC5QYWdlTnVtYmVyIDEKL1BURVguSW5mb0RpY3QgMjI0IDAgUgovQkJveCBbMCAwIDEyNTEgNjYwXQovUmVzb3VyY2VzIDw8Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQovRXh0R1N0YXRlIDw8Ci9SNyAyMjUgMCBSCj4+Ci9Gb250IDw8Ci9SMTkgMjI2IDAgUgovUjggMjI3IDAgUgovUjEwIDIyOCAwIFIKPj4KPj4KL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp4nMy9W69mOXIlBl1a3Uo1WpeZ0ciWxjp+yzRQx5vk5u3VgGFAbx73m+WnNDSC8R0BGgMS9O/NYNxW8DvVlaeqbLgLjTyxPjIiVmzeN8n9zy/Xa3q56D/59+vbp//xP/eX//J/f0r3a2qzvfzrp/Tyd+v//9enne7lP/8vn/75Jb1eV73zBr67Xue869D8qbymPNLLd7Xe83W+LCTfpb02Qx6OtNru9e/Dcz0jlusfP/1vL//rx63/TJrv67WOa7x8l+6SXudAYgoBs3ql9NpJuWV8B/KMP9KFn095Tq/3qCsqKyZ5tI78FAJ+6WplKViQZXwH8ow/0oWfT/n/2+UyvdB///W/fJopv9Sa5uvIywhJreb5emXJPOd7iOZ4hPyPT//wP/wAr3n112vcwMuQD7E49SgvrvaL1z9/Svy3/PP17eV/+u1qLsZLzq/jvsrLb/+BUi/3+sh1PbKVqJbXRWUuQkt7zi+/ffv0v3/+vS/1NV8tzc+//+W7+nrnNtrnP/iSVsGtqX3+QwJLyXV+/oX//kdfvqMEbYzPv/yyCnYZeXz+1Zf/47d/9+l//u2n/1/UXisCZSZ6qi/pzvdrpmKgyD3HegCZtYxraXlGNNfjSc83FIcyVsGayFORj3I6Nf08BSKP10mU8r06mCEF4o/Xs62vbVz989//05fcVtezygE//Pv+/CdeCn75ZRHOV229f/41lZg21l+/R+i1yth1p/fKzByf//6/mt7ffPlutSH5SgM1/+m3FqX/TxpKK0rpbuOVSsnrlWYlWwykqw4uEktHu1J7B9FMj1PLN5SjlWMVxxFYKvRRSk+6fqa25X4tbTWiqb3OS0rSn+2SNEar69nyAx9WIlaDIm1L6pNKmsFarO5rrjZloSuYZRUwKhLjtZYxVkXI/fXus7/89v/EItu8yAZLf/K+dta5KtVrSauhJ6WbxFaq5biV7uW4l1WOV1RXeW1UjE2tleNmXOe3F+OzT3j7pt7vQ8MUbV7evrFh/dAYQUvc2zdWNVY+++prU51lxZC6yjGv19uABwEuLqEvvamO3Rm72Kieff3kQKYWXPL23bObZha/quUu/f4qx3Pn/V3A1n2RMSr2W90o25W+/t2/dnKUtAuweoxr/95fnWhg/XWFYs6WgffbCTwIaJ5/rubj9kCYqIEwgAPBeSUQqtkCEQEyVfsrZqh1+67KVDRjCogzkttcRSJENl1XKa/42NOVSqZG1OgSgmqWfF9mwyRxweTtoedlAq5dKbsHynkheYY8V26gUSSzJ7J4o3nV18iPOefrBoZvT8hjIwNiteSUwYpI5oPI4qHmVf9Vu3OOCNu7MEqh9oDsUQ71T/Obt4GPsO4VIkOsS2+hYC9koJaiFUtsmGxeGCJ+cn5lofqBt/gAvHvGSIXKArJHOlQ3zW+8A0fmfd/9KOERIS/uekG8SL6DFZPND0PEU9WgTNSGc4/ItnqXUM7vUHPuo17dodZpXvM4cGLmNcVSvrrho5S3nEMpb6EutaOmtVAPNa96r9qdMdt3vjXdIUcNtaYedaqGGqd51VPkxmzbmEf5jsjmO6OWNtv22Rir7JwVUdYzcmiha/r66US21dFCjlhn2lOtake94/zmc2DF3HtLB/exkFjGR7tDGR9HTRpPdW0ctVE1KBO14dzVD+feK+boR63pT/WqHzWP86vPkSdznyXWbpQfW26B9yzzFUuWyeaDIeKlalAWbMFZo7wtHv3XDPVmHrVqhjo3j/4L2Wy+q0vD0UlaQImlfCGh7yIAS7nL6oMj7KNpEAZmwziLF8Z5yVeoF/OoN/OpZs1Y90yDeo08mXk6e7AD2dz7hHK/5JEjd5WduyLKXTQY99Bnff10Imw15Ij1xmW3Geue5Defn3uxNZDHvpq4lzsyL7EPW3LBcu6yeWGI+FliHyYWnLf64LzznUOOHGuOy2Yzx9pnGtTryJO537EfCzJ5cWdsFUiuwYbJ5oUh4qdqUB53Cj1ZkLfF2JMtOdaf+6mG3UcdvGN/FjgJ6zHiKHVnjs+c/sSSU486Vc9a54h4qhqUST37M/MD2I8a8twj4WjVZWeviLIXDcY+cGX+rV1HiY/IYyNRT2thVOyyeWKI+KoalIvacP4R2VZr6A+WHOtRe6pp7aiLqsH9vp5KfS/54D9iz7bkGsr9OOrWeKp946ifqkGZjNizmQ/OvecRuPejJvWnutaP2qga1OvIk7nPS2o0LY1v7hF5bESefWdP5iV6K9uZac9lsvoxE49WeF3A0/OygetjJl8/ncgDvFjFmSM+UcOYNaw8OMJLD5rePAychPm9e4ZWpjG/d40U5IFpOr8IWQiXr1YzL3MCkixX3b5QBbBcuw3qpTwhGiMaffVbvJ88+hJ5R4hrD6TYMfX8Km8LnGMjrTWLKdfIdk/zQpHhaXYv0ZYeZcO+CPI75OSWEWG2uza0vBeHPUJZS1T1X79i3C8u65PnXK1UYRuenTxPjui49puMtyfkgciEqI+UpJSw3yJD1CHFjqnnV/m2khyQByL25PhJTnty/KynlWUuC/a7+qz5A6vIvbeD++zNy6kg0jpsK3OU4IXIwB1SbB6eX2Vrf5Rpbyf3bvHjeLYZrIps3P135aX5A0/knq/bW7CAPACpWp6WFVoLl9K4vVDZuWMK4gH5Rb67109EHohY/FhnmVjaVFbu8LuyKBgLtwncV9POL3oNyalr36VIzlr36IVGvpXJ9kJk4A4pNg/PL3Ly8sqIePFAxOK3ddLkB62KbNz9d+Wl+QPPwD2Pqb12RJD71LZqc58tcp/t5O4pmKvlF3nMgzvaVKRimV9yDqVNZOPuvyuLGsqB2QTupV38ZteQu87Yw6xR/g1l/m4dW22VgTuk2Dw8v8h1xh5GvQDupVr8tk6a/qBVkY27/y68LH/gGbhX7l3enpAHItXb+SXN4EUt8+AOKTYPz69yOrijTUGsTxOdR02rUNO2V/a7+Ox9IrIK3NuVYzufW5lxhJJbrV4LBLntOe3+M7fm/f4e+2Qas2iuO+1cwxneeecal+Xa7xhym8lylWunWSMvZqHyEJZlSf3ycU2hWehCNApstV/a6u3V15BD2Ix5tO6CgLxbi3+xEUluHXplQUL/hzIz69Af9p2i9jh6yq0e/V14GoJc+UhT54zlZNbgicheTux3KRfzYHtl7xNHp5imoj0iyns+0/dTEWTJjWZJS5Z6p3K+bD6jiI7ARUOWUQpbyD4eB5kt7lh5+nGhNpbc2pbNG8lr3gIb4XvlwLdf+TUypgI4QAcV0Aw2VHYfDBEfVYMyUBvAeXsBnK8aOV8zaDTZeQtizEWDMQeeMncv+CTfnpDNPbfIPZfIXWTgrohyFw3KRG0494hsq0XiZ3mkBKhOld2qIOaXaDC/AzPmX+uECO01q3YF9ndtoazfNYeyrrL7YYh4qhqUCVtw7uqDc6+tBO71qD31qX7VowaqBvU68mTuZYzAHOW9TjnuwLyMK9hQ2b0wRPxUDcqDLThzlLfFmUKJL0cdKk+1rBz1UDW4z+NknfprrO05taPE55RDic9HvcpPNS8fdVM1KBO1AdzFD2Cfr5CnZImeslfZ2Qti7EWDsQ9cZW3+rkeJj8heJb+x7KwgBisqux+GiKecX3mofuceEbY4Q4lPRx1KT7UsHfVQNZjXgZW8keklcr9m7NmWHHq2a8Z6ZbL54UiR90KxZxMLzl19cO5XH6GWXEctup7q2XXURNWg3CNPeft2lVjuD2S/eZxBz5KhPRXJmYssvDWv8b6wDfv66UR2tK/QL1wzXViOXPZoC2LP4wp908GJmY+SDua9pFjirx77uCWHmmWye9Jj7TQNykVtOH/1w/mPcoc8I9Yjlz3msS6aBntigau8bz/7uAPZb74rtJoXLU+iFZXdD0PEU86vPFro0b5+OpFtsYW+4WpHPWpPNa0ddVE1uNdPfdxVB47b9p6SMY9Sf8d+bsnQ1ovkXogsXt6xhzPtzlw9cOa01I15aqhH9ahlNdRBzau+Rn6yj+bs4Q5kc07YQpB8Ied0Rc7pQs4JWzDX7pzvs2+77ti3XfdRe+6n+nUfNfCOfdvBiZmXG3vyvV/s7NsWAr3ElY/6lJ9qXD7qZMa+zfQ7d/XBuZd6QQ5arMDnbbJZVER94vzqceTIvFO/j1Iekb03sGPLsOQWRssmux+GiKeqQZmoDeceEbYae4UUak866lYKNS/FXu3gJMyvfDC/jl5trv9BEViSsxZBHVCRt6dqPnX9eurQ1DjQvcI09Uqh4qSjWqVQ6TSv0Q3UeMdryaF8HwCRzT2QzTg8NtEJZxxgW25237Qr4wMgcyUkn68YPxXNmADqTEFHA5FNdrQ4Nd0bgIFq12m9LDAtQNpCA2QSdHXNIj3EVXkD8u60rsGbk+sNuWk3cqiGkjjLTmbtzpJEpvMor5pvEtcNPIvSRFQmK8wsqsocAJwLLxErposa6BGqtuWWUMe47lD3zCtzuh58AI93AV7eqxKdJGtZN8eHpz/yKzHkcZslv+jXtqO3hN1n0gt+CUcAHu8Boo4XIJdIQpdt4+JKm/ogxVVNnAv/Lg8jMONwJFlikyViBe6Zlb0AQ+3z2vcQlYkXx4cTGvDrxQvrmldEff+tgFh/AFAlXL78p6ZE3IGW5UD9XahI3sAMyd5clN9OAMhqRRCySR81k023+T/gV2GneUX0ehOABwAarO2KhplNsehk/XfxvCJ3M+Zkyz0j2azvtB1owo7fvtwZPRBRydqv7LvlVdEKIgNi3ckWrTWXv/xQUwWqkLwMaUjW8gZmSDb1qQ1oAB4AaOng12z8ulQ9EFHJ2q/su+VV0QpiAJxsGtmbgDQaFqJk5yPUFfudHdW8gUggy625k72uHosxdePDydJmRvBARCVrv7LvllfFHouxWAeySYPlrzONrNcYIZvCo7S8gRmQ3S8/GpBV4AFAkarAL+PzlAfNb+vzNP8H/Hrxm37Nq6IVxAA8HLgvK8b7xcsAU3fRQiSu2O/sqOYNRJAs9WLYGqfeWmiNU9f+hC1QH+1NpIpK1n5l3y2vii20xmr9AcC01jiNXtCUiE7WfxcqE1pj1Y1kafM6FmMFHgBc0BonelkFHoioZO1X9t3yqnhHsmBMgWmtcaJ3aVCIRHSy/rs4ij2RG9vDDt4wla3O0q62lm8tV2VvxZRtPgTczC4VfRj33o7Xkg0M9rpEalfVWl/3ZrJ2WWFtsp/TGuEmWzMN6LI/zfwYuPFtiby7Xs5u2TE2KzLh3ICMU/0QXL9tX5oMHFW0EeoCnBBuST7Ef6MIhBNvXXfpnjG87JEqIO22PAMW/4UeykUBtVYTRHuGafe3lDjxBrDsAyMujllG2HvZe4lS4LeyYv3JHonpVrBJ+w1v+/0oHV8//cOn9axXV//yr5+ul7/7oRsFOm2gpMOT9GIzpV26qLAARAPrQhcGRGilas2hBazQ0XHdSiucIwCrIPQ94nYo0R+uhfYY7kG4WhLgK7go0H447XWUH4aKWKPVnyKh2tZoeWiZ3w+ZgfZ6dbZm0Eo8Kc2qCDcQPUPGU87V7bQZ4nhCNA9c4/0McVzArR5x0ADQoAHEQTMtGjSz5EE7ITK+euU1gcJs6bUWVOyAGXdIHFQtRuGgyeFYQ44UilW6aPU9YzgWtJ+YACTWV7CFgPiD0PZZdQgntwKhUF8gFGs0VguGYo3WJhZMACwUDkkoVIuF4mAtay80sI2hOKC9JLKm0TcGI60B7MRgOGDBcEiCoVosHGrJwvEEbeN3jZlWkxzUGuCmDVL3tg53P1KUI5s0946hoHdxNYai5BCIkhtzUksOmDcOiceswxipFQiD+gJhoLePDbPlFIqaimZWAXFM85vrB19ZfV3DinkEIUI7CMtKCGiZIwRBRA+BABoAye8hEBsQggPiA7P9NdSnsrrtHhQb4KYNUudECzgfCMoC/BpMlhiIunflhEDUNexLqKu2Ea05YB45JF6rFuOlliAc6g+E466d9Wi2ux7NjwNm3CFxULUYhYO5vH8qR9UIwH4XtPq4oId2QCW05IB545B4rFqME9uBQASAj9WO2KzQ4DMUNwfcsEHqnGgB958qR98H80IYxpXPMjHWMDWjJtrRE2w5YP44JD6rFmOlliAU6g8Eo19XCMU8mh4HPBTzaMJYh7l/sJb3sWs2dHShB7RDsYbNI4RiSLtmoTDAQ2GQhkK0eCjEEoTigNj4FYsSLamGwuaAGzdIHRQtTiHSlBfza+zYQzgSbdruIRz0ZjE0m4k2k2M3CoB6BBB7bVqUl1mCcKg/EA7aVRkamblGsxXD4YCFwyEJh2qxcBzMZX/KmkHcMRwHtPeLrCnIxHCkNQVBawBYOByScKgWC4da8nCcEBtPoVDtU7g5KDbAjRukDooWpxBpSjhoH3cMRx73MchKeR8GBF15BlsqmjcKiL+a3xipDQyEeIKBoE3nIRBrkNpCIAzwQBikgRAtHojIWfZt1XaWiwPae6gatj9LLNGWA+aPQ+Iz6zBOagVCcUB8qDfHokQrsSWoNcBNG6TuiRYnECnKgdPcjoFWom3fsQFdI+bY+izgjtYcMI8cEq9Vi/FSSxAO9QfCca+pPQ630p1mGLgAYMYdEgdVi1E4mMseztmxaXx7hvZ+0vVn0EVLIsGaA+aRQ+K1avFwiCUIxwHx8d87ZrpC1wqAPwmD9GnNOzzNSFGP4s5jHpJ6O2enqfej5aH3k8GWA+aPQ+KzajFWaglCof5AKOi9W2hqWgtNkYr+DFpoyjS/P8fIWXZ008HGDdbXrodyA7R3WMty0AZIvEX1mmIwoA0R9aN7h/XNxWGvqngOWXdRjULm66cDeIAb9Hzp4oQFFOmkVUdJ0k3J2g1Ce+3GM7mrkZ1EYWzo7q987d4CKseKoQekWWNnBQaTpktDygFddgSAGBHUV41MAlG72deIIvcAtNexfZ5lk+hrVFLTBrgpEYBP8nJzY2nmxQ2SaXFg2+FMDLVVRNkyLebsR1uX4+mAVrlThwfnWwOTqbSkHWXodwLLU3b6gFiPDG0K/QThKlWCQcXfEnz1B7FmNRycfdsFKV3kysvxMOX57gAPuqGg8fNF4AEAXVoIj2DQNQoT2AiAj8DSaHhNiwPbDj4CMO3QRYuUoPjqfFTNjDPAoRQHPc2FOgLBEISxykeFIMwF7EvzDKC3HgmCMOlVRAE/BMAgWBplY1oMYDshCOxLCMJ6mntrrgWhT/VGgsBACIKnuVBHYAxByHR7ZuoeBAUeDjRqtM3EkuVYkLihAMTA0wgZU2IyW4EQoGGHVlPVXkAvzU5utM0AhADTXKgj0MMQrJHta4HKkHPeFcpDkItWKLGRad0A/RAAY2BplI1pMYDtYBDEl0eAquphxTQnSfgABMAgQJoLdQTGGIRyJb4dOsgPkKv0GmKhXPM1YQgEwBBYGuViWhxIr6EmgGEL02pzpRGRyM79FgCizwAGANJcqAPZBf70vnVAAO4FaF8mwHi9KkTgHhc1Ke6GABgBS6NkTIsDxVsQCQH7gjEo9P4Xa0KhN8Ah/AxgDCDNhToCYwxCpa2pGYIgwAOA1aDfEIRKZyowCAJgECyNsjEtDlQd/x3QI0AX3ZgKisvqjQcaZwCDAGku1BEIYhBaoj3jHoO9QS3hoIY3is0D2q9+bHiU21iDB+lReQi1D7ZOgXrjbLQadgvEQLVi1/bKS+5XoxupGWqbJ+1u67uZVyAVaaHanhBleqsqDdLoWdLsWu/G6d1s2iV6X4sVMwmvvRyH3YEALq4haN9HXvUhtL2h/RGQTh3eu8AeTynw1UdduXWaNz0CQqtBWCLg2Ri0H19EVnZsP9qKXu3oDgNYbCDNhTqwjEipSTsOuWupAZnPZO75uCAkZ47sGqDfJQCVmgY51ynQkFZMldz5Ne/AsRUWv346gG1377kPWVpQKaIbFUDd0vzqN/DSW4wGMOOToHt1AtjT6LWDllYyFzU144A54pC4akqUitlx/uaMR2D9iZn6qusV1Tpgph0S90SHeB8Zy1pC68Dw7Qnh05k3V0HRU9sVzThgrjgk7poSJWR2PAoHtG33zHosW79fZ1BsgBs3SB1ULcYAOcoi0+zw9Pdy2xyvOUSC3sVhqdp3/aMhB8wZh8RhU6KUzI5HwpyBSOw5OUZi71XCSBjgkTBII6FahEFkLSuPuQHLtyeEz24WjMNqnIMZBzwOBmkccglRUBsehQPadsv1GupFoRucgloD3LRB6p5qUf8DP7nXsDZIs5fla4XY7fXgvfvK9aR7REMOmDMOicOmRCmZHY+EOeORyHWyHs2WW4kBdsCMOyQOmhZhEFnLKdJRofa8PSH7dQ2NDkAPn9AEQw6YMw6Jw6ZEKZkdj8QBse0Zm5ZrZq7eptgAN26QOqhalEHgKJFIBVjuM6Xphvjtd0cpQY2iE5o9GAJAnQGIHXYlQsntQCTUGYhEGrGrufLR+DjgkchHI2ZaNBKBtbzTvO/Yex4In/ac2FpetGRXMBIOWCQckkiYEo2E2bFInNC2fY+QqabXFtQa4KYNUvfugd4HfvKSu2d4+vtVfy9HeWgN6sU+0xmMOGCOOCTOigolYzY8AuaIR4AP3UC2Pi5UqqKZVUAcs/zieeQqOx2uDHXm7Qnh058jlII6cexgormhgLhp2Y29WnD2B7SjfrXXGLRrxoLlgAfeIH04qkWfXmAnJ25X4jCCuu6S4wjqutdfqIdObIQoOGDOOCQOmxKlZHY8EuaMR4IuZQpNCc0pZwixAf4QDNLHpFr0KQbWsh+qxbKAMp8L7TgK2+c+gxEHzBGHxFlTonTEiscgANtuiwOuBYwwRAfADRukzrUw9gvsZFMcLZWGCCR+pwUxoAMe2KqkUaIZB8wVh8RdU6KEzI5HwZzxONCqEo6dFtDDUAQAM+6QOGhahEFkLTsl8xXjkK8YhRTblpTirBIAj0KKs0pXYlHIcVYZgW03l1h4Er/cBaUGuGGD1DnVot7nY2550bYTnEtMui4sY5tAm7ehAk26KyyBFQTEE4S2t66D6YAVj4G54lFYlTeMlxZwNDUOWBQckiiYFolC5MwnWulgAdaIE6Ht52uudnmNmHR3ZYNWAQENBEAcCFcikXA7GokniGzTwYUbs62KdWVU7IAZd0gcNC3KIHDkSNDrHRwv2eZzjwRdsMGfrNqzkY3stTNE6NNoXGxW+9s3dO33Md/t87Drt7nvgmPNmb4BN2mVK2dTs8+9pMjB8zBP0Foav9rdx0oLp5n0rlpOyVZH3pGLjGun7L122v4ULDYOpSz+6YOhF2BY9AGwB+OQPBjTIg8mPoT9YGgxdPOku+72i/Mn6PE90KClWF3Xm/u67r1Oymupc9+cfVuC5SC9nL0qZKFbffeSXl8TvkJA45LT+nytN+eJ0ON7INXM67aT3mU3Xppc1Xage+N+LftROAPNRG4NV/xEWyLWOMz05n3eHDGBKh005+gYkknnAvI+1ZHvNZ6rZIyuOK4ObK4SD0+TuVqbFgfqfoKOiDePAO1VUIgzr4O6bQF2MMQ/S+M0RcvBOwbjLnKN8hOE0bjzpJBDNFZJLOiRACEalkZ4mRYDityR+QQ9AjRocR4U34kKEhhnAMNhaZyVaDloxnCUlX+lwnDklvm9EEB0uKtBODLdSXCDRwJgODyN8DItBrAlDIf48whQ3y2dKZY3TG5cAAyHpXGiouVgHsNB47MxQzgEwnAk+v4b1hUa+DX0SAAMh6cRXqbFALaE4QDjDu2NNaB4VcKEz0IADIelcVai5aB5hCPtF0AYDlpz2K+OEbrpfY5bo28OpgweCYDh8DTCy7Q4MPj1MXBnf0I48n4lBeHgl9AQjiyvmyAcmsaIqpaDeQjHvq1972J4gh4BWqPO6uFIdL3IBI8UgHBAGublWhzovKXgCXogtD/AAnrr7mvBNgMQDU9jDETJQTIGY1BfGKrK3om3t5cgxHdfmDHai9fQIQEwGJ5GWJkWBypvMXFI/HkEaIoeUTxGkZZVjAuA0bA0TlS0HMxjOPbArMVwMIThoDPHo0A46M1sxnAIgOHwNMLLtFg42BKGA4w7NKTB0TjTteQTnwUDGA5L46xEy0GTw9E7vevV3WMUDR6ifLcP095cWNe4u9y+54wg/RwyHdhtXMPplmOG9FC18F7Qaiuk4NOqE0OVOt899F4jbt4tuRs9GI0jJEP2BRUaLT8++WFVP3ea92jNzh/CUVU9owgnXPkco84O4AwsD8d1YyWM0BWC2cE+Mt14DkE7JuHgxBPwb8Q/vd7hRMakQ/Ry5FWZecTXSHu2A9qxhEfHwL9QIZCtgCtWmYdsEYGCTTcA3ZyJB7D7uPQlxV9LOw1Bdtm594B/ATQXdbW6ddGGuLq9ce6hN6Q5i9rX89vOIxf+KHjly/ffAOFD7HS+fsvt3nKjB3Ylk79+aimmqDVqcFkv/DeEvpq7wmAaCn9OwmwU/byEeSGIeSkaTh5f6fPSa+iyivG/LrY/dN580DsC2qh8133rMCJtaVy+7BsnVmu6gH5RN0hzkWt/UlqAFQk6ykX7vBWqq4/Iq5iYFgfYEMVCkXvf7OQ67uuiDcRuR4AVDfNFIPeWlZx8vu6nTmWWjmPed5WbRzp9FZsCfest5hbo2mTIbbmeEcu1gk3n42863f+7I932IfFCno3Ou7xowjZomfyuq8ZPGtf+8EeY22q/LmplbtrWNakV7eQNtQ4KPSBQdN1D3b5rvmfEsv2webdV1wx0f5v8e2j84AfG6fNJaxRT0qQvjJPRNejlhC80N97Ph25oaPKB8d/7kvprr1f6/Pv7r37fn/+Av+mdX2u6960A1A5c8k3vP/wylj/p6p9/QRna1efnP7K/fv/Ld3RKucz9lfCVcj3W/vlXrHAVozvtHmApXA28fnl8hbXMayzVFxVOGivur5lfr/uiwfvzn3y5VwN5r7/+6Mt39CGFPtLnX39Zf9VUMhmlJfiU9vfE7Xvh+2XdeKn3lNtiFChTv2RjgH6yl5ZNaxn6RV9666UiH8yHX/f+Ac+ron/jeANi/QHAlEsEB9XggqZE3Eur2xX/XahMvTsRmMnCMlPJla+zUiBns68Afx1ELGS+wEM9EFHJ2q/su+VVUewb+6xfijBAg0W+lYymRHSy/rtQmchddMsY8KUm/UIR3ZlDrYwij0/0jVMqsIqMVXMlxVbp8pCriADZ15u4Bv4KmNuY8vUI9mHKl7rWECCkn70EfSDb5Ucl+OQa2GfkSJz75HbSedMdKYisFqpwCwxIstjIXYn7mha2I9fA0MU+rEcvNqKREetpct0OpJF2u28dbZcHGhLKr5s9Xewj+eWbFzRoYj/Yxhox0d+7NLdVg4SHlH7P36U8rQG5sZK/5YsctGNSIiu1moaerI8RkPez2JcVbe/1m2+06Ck65O43jy0jLvPz/Td4HloGOkj0iS20AbKWOEP4+Xd4kuezpudvMbnm5ObMkUtuYlTknlMixZFdcgnDLZFXpAeXD0/BXpkGkatdhubIlFgZkvhLK6qzJr5sU62qTM9Xn7iksOctGg6uyP+Wq8mc/z2yeuIIDy+V/8iZ2Qz9XZoe428phL9qcFk88QhluSTKkSIx1JiWFqzaTWb+XCSFcRMNB9fAv9cen//d9V47QArXMrHT+emZJ92fpvhqKYSLanBZ6ooj+vUaR/jiNNfZ4iC/662e7pekML9Fw8H1gxc+7V05NNmrlVad+gtCtHegFe4PDco0nKZrdve1P/WmdbD99q/tCY8Cu6PLe16r0FxN36R94aoFgW2J3k4qJP48AjTFliiuVAYSGBdg95PioKVxoqLlYC5DAwHpgsj7DuGgJeMYjUxfphsQjUyfiWvgkAAYDYGclmhBgAxhMMSbR4CGmBK9hfrhAbYFwGBYGqcpWg7ePHSgYwKFHFpd2ih7/HCtEXN1aA0g6M4hJsbQ2IeNGNhvygCgV2l9jyEcqrSCA1poh356AUsMfEV/GKKxBL2GglT0cahZiytGQIwDxA6CFqbwxJxHFWuQTdvDPRz7YwY9Yzj29wxaChDtwrv3g10d2d6qT0cVemEDmRskalXaRRnT6l9m53HDqq0MVVpwiKky1w8aUeTtF62Sr5BRk9Bo9WT3yGsmTiOKq9adIvFbMlq/untxa40GAGPL/bXO3RK11txpHpiwmkznH8q2vQY1tL9N2SLQaPGIRh1rwtG3Jnq1OmXQVOnVu0II7MdGbehq8RygkQedXOU0Y5+BgPBvBOVdGv4NH5qWmU5LWHM4RN/8zANsuywlxhEuMKCCaT+VDe6GLOx5H559A+iiJSl+fA4VWjb2yF90XRQseCjAPUu9KqRZY7xJmzZMCwDb0spkkPjzQKgktqWKE30io4JxAci4OqhpnKhoOZmHcKypWKPX8RCOm+r/XvpEaC9DmrV73LSbzJdlWIZgaAolZSoAaPzyySFx5hGguQ2p2rmG5jWDZQEgFJYGSG4lJ+kYCboEs9cQCbqlcL/gBIiGNlAwbroCfXUC7pAAGAtNY6xUiwNFDr8BxP48AtTpTT8opru78DkIgNHQNECUtZzMbWH0fqU3Cd+0aAjdPYxZJtdQgdboeJ+5p/6/UVsFwD1fZYufIrT21l9ASd9LwmCIgb176nXf8qbQ/lBvdyUuixkH2BHQoK4edL5+yzIcHye0h/j26WlZlHqZpTjNUKiOfI9zYbroXLvwW603R3LS61bv+X2I5Ho86dlrlT9pTY4+U7dnOplexdqa3KrxV8+0skXbklLPn/+AF9Zmbp9/Q+AqjZUXzOq8r3E/rcaV1nU1bvWLn39pS2i/8hWyD69jr165FwN4TZI+l86LvLfekV95iUHXzx+eZrnNwT1z0TNbwbRHJotEd+76bdZWLxPXeHWFzcTUV6d8Z/lE+xaKLU1t0a4xZpE61byvSl5K+s2fEt8GRPhqDghAO6+yTEoYMZaizGS/Q1mRomtwhoivplOJRNbhxcM3th9b9b7uhd7j0J5IQShmfZ+gV2RfwDwoBR1AoqsNHLinTHgMolOme4uqI9QarLpuanu/t1o1zPJXcI6RfbHyanmLIZMO+pTpSgHYdimaiohzD4SYgKsVhkdUtGX+SXWWLutao8G7rTnKkCr7p1Tn1vR18jL6WOOTcwnbVsOlUrfx+c/2wvVqZVelXNgaDM5Vu/daOW3T6+lYKv9zUCjL9SvHr7mWp5qXwvXXGpZ//oudktrzTAvx9F4nz3Tdn//4C33zdiz4F9vQim0aIx2L/L/5QlW/3pUW1M3xvVLf+pjLXSJZl5Y/hvX2Uqm+9Cwfkt7isAorIt8fUfbd1ffgta9971Y2cRWYsr/v5b/vD+l5bhX1G8oCiO2HA/ydD1Unyw1qztYj1B37fRPRvMBqT6c3MG/9bjKJVT6t/jCxiyLSu0Retme7KhpN/3177blV1A8HCyux7TRn0TBumlO+NS00RXSa9vsmonmBldGs8h0CpZn1tnUVOzzNVRwShFdFp2m/My/LrWIJT1NtPwC44Gnq4qGas9VFdcd+ZyKXPc1qn1tQmnTFHTxN+lZpdpr6xkf0Fv5EtdoV0Wna7+y15VZRbBvvcYenuYAET7Pm3tGciE7TfmciyTmLZqdJr1jhadKVrVBo75aQpn6tXeyK6DTtd/bacotYeyi0avsBgIaR1d3YFKjoNO139jw5Z9H80UXCcvOd3mtIMnhDpkP79oJ9OYJBdEk43WxQatp7exZQ9408pe6NUQZslyftsoY0ba/XgRYFxNIOq0DizyNAt9gSxTIXceM2X3EHLY0TFS0Hcy4gRrRNWk6BcNSry7tshPiyMbW2gLZv51GPFIBweBrh5Voc2JYwHOLPI0BVbGmcV19cMj4LBjAclsaJipaDeQhHpTvArxnCQd/4kQfk0Dbs4aAv/awZkodDAAyHpVH2psUB2THrkPjzQIguL+geDl3CcOO2zOEOWhojqloO5jEcJRV5v2wQfQNSHpBDvIBu1viLje4QyxgMTaGkTIUDhZ+OQ+IMxqLsC5BdbaEBIFoWAENhaYykKDlIx0jQN7xmrCdrRCJXwzi0KmEfGIm5vznikdhyiISkMOKqwgA2g5EQZx4BWqPwAqGgG4p6QtMMYCgsjVMSLQftH7XGAa2VN7mZjk8YlEpJdDLHVlcA0NmEI7SbfTunShaPBLVOgR2qvnfyeZpFtRbUYoAZMkR9MSXq7cHoW5Y5VkWjnTj+ICEyssJCz5E2NeZYqI58T+scdCkqjyB0x4sAKWvnW8ezKMkfZ/6fvrxBAy0ab5G592dKewbDMyWdovyuqdK4x7cvYPhMVRcwUqcXyvVYwUj0Lj7DAkYaja4U8PULTWHLF0eWc/Ui79YVNkIawLsYM3+VWzc5Jvq+aIZdkGnue+Xtd/VnRFG3Jyog+xc1t2xvVO22/1GtC6C+Se7D9w+sQew9/XlCvB2RLYv5avvVkC3opTlGAIg8vT/BNPRmrVfX4oDuSHSE9yy6DtnU6HZs46P7IpB7y0pOPly5M80rcni2AvQN5Kvyw5StU/psbWPV3B+qst/5OlDNbaI/Wwbuyr9L7vvKqF1EIlURUN8k9+H7frbegv/A073mXnyHp+vI3F+JyXTQlepbo6vkJz5cBnbJnrxYpGkG11DWoJI91i3e9LVf+Sod72bdzQI+VAaIv7ggiPsoSk4a/FC1ythm1lVH8o6z7krVSmMbVzXLE/AjNrKu4rqvq4ONrM7tAxtZodjrRtZ9QyddJ+Q7Ur3g67ZVz/eMfGAj61J8vV4FN7J+D42f1qssK2skf1+02Cfdyr/78h31JqXc0Gn8ev/Vr9190AJbKulYGqNL1sdN61gLXFOEPD7/QvaYdlpq34vqo+x1sN1F0beYMbWs3K1+iZfCaBVj7G3zuHIna3S3erfKSFi9d59l9b6nz/9+52kNfsTtreQJbG5l0ba2qsitwHXhxtZ87VvoYGPrnLCxdc66t2dObWFE1I2tAvjGVgHo/ixvknTrqhqzra3qjP1OjkrewImGmEJDN7WuvHFTqwN7fW6JdS+ScNu6xGNT6yaarWUOm1pN1DcHytw2tRqggfJNrRbTYg3xhZtalch0zrChVWnQ9VYXEqWrBW4keklDLkQvfhehRC97e0H794YByu3STkRFXRkUQOw/ANBQDdvtqcZE3FS3M/67kNGHgNyELp0+ufdrRKG7gTGKPVcBLlG513ubKJTl32ZPVVaLmzjLq8mc18Viz5XXRUex5yqABouXUeeF5kQ0uvC7kNFHgdyQ7tDPl0vZuLvOXw24NGRbCMM3Ea1cwu+8mn0NZN91zmr89WvpDmi4OHpZQ83R1U+IS+ztV6HSkPvQD4h/bAmOmO0NJv7O2yDfpwcQ79Mj/nXAGsHEXXvEmM75Fkww9sFoUOGAbNJzyDbpAVSu/eVa6cts/93E3XjyZLZnnkAZioaD8V5SMND3583Z6S0Y7M8DhPfnzb1J+MX351F5HMkBDISloSPRFbU4wPvznLTtz0NoiBrRq3vvJu7Ew0B4AuMoKg7SEgkhSduk+aMVBl0j8w4ygPo+W+ihuOjW/wKhEGDT2lu3II0yNy0GsKWdSSDx5xGgJnokFrJTzY0LIM3rdtDTGFHRcjCXcDRa+Vke0WlKHhUKdM906dMxiLbtWwtA8v6a7Rz7NK3KEAtPsT83ARoMYCs7D0PqyyNAlc4kQoxTFz1sWgEMhaVxkqLlYB1CcdOld7lyKLiM3XRxijwch+59LbiGgu49GTgLFADKO6QR8qbEgcnPxiFx54EQfXe3ezQWQDs34EEIYG0zJDGaquTg/aPW3aSZ0kZ2d2C4WydT6Afs5wFAdvwAwnuCQIlsLBIruqsoTbrsh3ce3XuBjdbX9/5Q3ZvkgG5fmm2IUtnh5EpkY1Hg8k3LbbTposCGIZyU2LaiTPuk7rBX7Snj83pb35PtSldf8MKRADLOWmpzHjDwckCyPE4dP8OaW+dzXTQr9cnRiuK8agvbBr5/ckTHIXRyVFOcHNmugTv/zl0DtlPhd0yWeN+Ar5rRVPUlr/GDTsJvmlEr8DCALp7nBUy6FDO/A6Qsu7hU6RNgSv/RoSJfH3+y8+zJqeXQsZ/jDy2XrVJf4XIZsrtK2r4uXqAHQJWuhN9jgZH5JtBnJJV9r9UDlL8DmfJ//JZJvWeriT5r8faeT+95/mzvSdfPshqwF/9pi/doP7bA/87VAMpWVpn9jU3N/8M+ezpbDXtiaNkglxwKt47sZa317QQeAOwCKhPJm9oDWBoW0Uf//nu2vCr4RCGDIRWndLushqcpZkZnLeYGA+7kzn2QkEkOQ9d9ENXPzTtwwYz53l/wcA9EdKL+e7a8KtyBqBpSsQeiKQWiKR1EUwpEOfdBAonm4pNXBJxozhosJprDfE5EIGq/Z8srQvG5XAZDKnZYt7nzjcswKjpRAdzrLss0SAKJUgVrSDS1FImm2pFoqjcSFdGJ+u/Z8orQEhIVyw8TNUCspmmI2EyTE3rmRgtlVXIfrJDoNa9IVAAneo0Oa1pLDJXnGv6Ytof+e7a8IuhiQhAfJt5I9JodiYroRAVwr28kaqaAaJq6aBgAIJo0WGwhhbcNIgJR+z1bXhWmDfwzGBIxa4BYTe7Y5okIRHMoq5L7IAFEC12jhEQVeABwA9EyQ+VR0YjC79nyqtCBqBsSseJi6hLxvZ+KRlQBc7LiMq6bcqL0bWNcWlLgAUCB7qWMUHlUdKL+e7a8KnTriTIYEnFcSHQMbApUdKICmJMD2yY3BUSv2I8qAEQv7EcLvfGFUIvoRP33bHlVwH7UDamI/WgZCZsCFYFowrKquQ8SSHRPPpGoAA8AsB8tPVQeFYFo9vZH86qA/agbUhFfC5R+Yz+qohMVwJ2cWJLNlBNtLfajCjhRuizLu5fSKvajKjpR/z1bXhEa9qNuSEXsR0vroSkQ0Ym2Hsqq5D5IINE6Yz+qgBOll39AlF73Q6hFdKL+e7a8IswM3YsbUhH70VJnaArqjP2oAu419qNuCojm6yCar4Nown50iaHy1FQOognaH8krQr4C0XwForlC91Loc8VINPeDaO6BKOc+SCBR2pMauhcBHgBgP7pE7EdVdKL+e7a8KmA/6oZErNiPFtp8C02BiE5UAHOyhrbJTDnRwvvw307gAUDoR4ucZxEPiu3UFw/992x5VZjYvZghEUfoR8sI/aiITrSM0I9K7oNEIHod/agAQPQK/WiOlSfPox/137PlVSH0o2ZIxJSweykp9KMlHf2oAOYk5z5IINFcjn5UgAcA+GKz5Bz6URGBaIZ+VPKqEPpRM6Ri6EfzHZqCfB/9qADuZGibzJQTpQtrAlEBHgCEfpReW0KoRXSi/nu2vCqEftQMqRj60dRDPyqiE0099KOS+yCBRK959KMCONFrhH70GqEfFdGJ+u/Z8oowQz9qhlQM/WgK2wJUBKJX6Ecl90EiEM1HPyoAEE2hH90vFoBoOvpR/z1bXhFy6EfNkIqhH71yaAqufPSjVw5lVXIfJIBonjX2owo8HLixH800IfFQq2hE4fdseUWo2I+6IRWxH82zYj+qohFVwL3GftRNOdHRYz+qwAMA7EczffkSiIroRP33bHlVwH7UDYk4sB/NY2A/qqITHQPLquY+SASiV+xHFQCi1x2IXtiPqghEL+9HNa8K2I+6IRET9qN5JGwKVASiCcuq5j5IINFeYj+qwAMA7EdzD5VHRSfaYT1M86qA/agbEvHGfnSJ2I+q6ET7jf2o5j5IINHWYj+qwAMA7EczTUigTInoRP33bHlVwH7UDamI/WhuHftRFZ1o66GstrBW5qacKG3QxO5FgQcA2I/mOrAfVdGJ+u/Z8qpQoXtxQypiP5pb2AirIhC9QlmV3AeJj29ckffMsnP4HQjfRhf69u/N7EiS96X6ElIAfBftadJrbqhCAdvG/AQ9AkSXury4Yto0WcLOWQYk2JDA+YiKg6C8lleKdCfKCIEQKAQi37L5Y/POibZSQCAYCIGwNBoIVeFA100nB4SBoDMjBeJQyk23R4FtBiwOlsB8Fw0HvRgG+kbkPUMYBHoESF/ukyU6BpYxDAJgGDyN8DEVDjTdU3BAGIZVHWgHAyhuRXaxqHEGLA6WwJxXFQfBGIg06EbWEIg0+Ow/IhedpBdL9OJ6wC4rBTAOnkYImQoH5PAOIJUvSUKILrGFMNDFU/VG2wxYGCyB+y4qDsZHGOj27yMMDIU4rA40T4vDtS+LB18YCHGwNMpIVRjAZkIg3LJDbW+7d8X52p8Od+MMeCA0gfMRFQfBGIhr9aS9hEAIhIG4ypCylbd0y74Z8UUADISnEUamwgA2g4EAyw5V3phliunaJXwKAlggLIHzERUHwRCIInte3p6hR4Aqv9QmU4WOrkKbLTKEwVMwHc/vwNTTNQf0QIhOvrUX0LvqW+1omgGNgicwz1XFwS5GgY49p7CLS6FHgG4pWnlL+yCC+yIAxsHTCCNT4cDQ8nxAIRBX4t1GFgi68G1iIBjwQGgC460qDoJHINYskE+RnlAIxJocptsCQV9KyRgIBkIgLI2SVBUOND7I+QRhIEbZe/BAMa3go+0tWxj0Z/Nc8x/sYhQ6XZ0YhlEKPQK0Hm7VKPQ1f8UDZApgFDyN0DEVDtxang/oESD6QDfobYm2eIJtBiwMlsB9Zw0HvRgGuvW9hNGDQhgG+r5H10HUklposBXAMHga4WMqDGAzGAaw7BBWiaZjdrMcXmpDAifTX56oHSGgK/1jBDYSAnDxaVyxsma9s6EbDIQAWBploioM2FYCf7PrSJVdraqW9gzeaJoBj4AmcDLVZmnALsag0qJmGDQo9AjQeqg6aFhSjg21ABgFTyOETIUDU4vxAWEcKi0jwaBhAftLX2CcAYuDJTDnVcVBMAbibrIR8Al6BMjaBLqEpAxwRACMgqcROjfOL9QAhgBsGkT3AWGLcNPnkbAUCmAhsATmtqo4qMUQrP6UTu+/PUOPAGU+D7lNFfocDbjCMsbAUggdy+/AtoFRALMWBfpWZsUoXPteQIgCAx4FTWCkVcXB7ogC3cZ9xygwFKKQ/e39ktL++KpHIfGXLSEKmkIZan4HKn8+6Al6BGi+hoaRjnzlYJoBi4IlcM9FxcEuRiHXwttEn6BHgC5fbFiz5RYbaQEwDp5GGJkKB4rNxCL0CFCXuZgqbimMW1m2MOjP7rnkP9jFKKSxv7/09gxhFPb3Aaxd2N8RwLGCABgFTyN0TIUBbAajAJYdajITU8XLKNYJli0K+rOTkfwHuyMKaX9y6u0ZClG42v5qsViiE5fYXQkQomBplI6qMIDNhCi4ZYfo4+Sgd9W1iuVQAA+DJnA6rOGgF8NwlSm385zQI0A3ffxZLF10zgN7KwEwDJ5G+JgKBybfjvMEYRguupkE1lsW0OKoVQCLgyUw51XFQTAEIs/WXkOlEOQRkH2MgQ1lug8clxkUgDBAGubjKhxor6FKgF1DegqLDJm+fTJvNM2ABsETmOuqIrKLMaA7RWsYNyn0CFB61WFTHmOEploBDIKnET6qweVtBIMAdh2aMgHTKFyZrqyAKDDgUdAE7rqoOOgdYcj3scKgUAhDooP+GgbaUzMxDAyEMFgaJSQaTGYjIQxu16EuMzDVu6oajlwVsDBYAmcjKg56MQx0z88MYwaFMAx0mWvRMcN+/YOusIxRsBRCx/IbwDYwCmDWoSYTMNVLHyDCgiiARcESOBlRcbCLUWjj4su4nyCMwv6yny607HdDFfptBTAOnkYYmQoD2AwGAiw7dMtETBWPvm+tc+MMWCAsgfMRFQfBIxD8req3ZygE4tqfxFVTqwJiY61ACISlUUaqwoF5LDGgZYP449qgODUcv4rsYZCfzXPNf7D7cQcG5eRbrvThBDwxhyd+5MScJPqmC0Kebwii7xHAnS+sJdPdoA1uZMqZbmq2+5j0d7uP6cjwdB9TKbTlf3Z+hbmGdvuMuwCPTyVfCJRMH12gQxgpiFX26CjQ9cyeAbzbS9UN/o6qmhPxq7gz9CuruVwuMlNRJIKdbNiiuPFQkZ1kJUIg8P3IDU4yBfpuab1eyw5V5Y+oCLK47hPK1ZCSeXcZvaS6aQQNAF3vOHfAFOqreO7lBIfoU0uTNgKp3lH3GyY3LcBX8E8gCgJ9/mM4lDNd0pZcsQNinAKpkLj4QIhpuGLmecZGKxbd5pJ/OLK02nXtV3BrgDeoX8p0Qec9HHoARBfC7dm2Z3wHsozHtdbULa2SMXSjFH03IRvwcEC/AScZDtEKGvU193uAZ+jzUCiAm5QsJ1Au3UewjR6iJf/h45S0K2R/GIBU7DX1vL9CnBx6AJTnnnA8ION7kJUP2gtS7++BPCNvzHsXAic043tQ3iee0Yn3IM0oRzh/xMHJXPfi5N3g4ORffhmvbYzr/vwf+RY+/oyA3j+EX+j8KzoDuYri0CvL6QVDpY/P0hpn0ZuP9vdCr5x7OFusH+9seHu5H9X0j4zKTeMl2TXm+wImTypnOVdBWX/uOeRMcG/TXxih/4ZviGolicP0GZX+9H3TP3/fzK937tpzETPXhcp/6dH64y/0Lq6W33mRFH0QU45G51yvkoEonh61Q8V6y1ME9rFjPpjMwBLpePkS+SoeFbMsLTpQJLkca+Y+xA4162bUCJA5+oIBZKiorEZTFR2RfOYm0tj7jOjkYaAaAWqhS0Oqed+EZxZUNPsGSL8qucVz1W5UI7BP6k+kujoIUMaCmdqiOiL51M1AY1OlrhqIorhHAyFUtJc7u3YVzbYB7JnmhlEBkERxm5IQCcUpIRKSKhpNAdQVya2OAg2m2VugCSLZ7iFMdNAYaYroNBUQmj08HNbtNEHcpjLSLG0gTRPNlADqiuRWR4HGpnkn8qvr3U4oPkzk65LutPes3XKr1Z32njURl+XVocOveW9Rs7wq6j1qEXg4wJ9VFWX8vVUz1cRvc8V+z5ATKDjFehd5kig+TOySl3f31X0dvNoVUSnar+yx5VVRx8kReACgISKhaHDZlH5l01yx3zPkBApOkT5G3pyiiA8TJ1JsOWFoRVSK9it7bHlVvNXJADwA0BCRcGlwZZOjDOzNFfs9Q06gABRHCxRHCxSnhof1zhIozhIo6q/i8QzlVjQDRTelQAGKfQaKfR4UO5RNywkUnGKvMs8LolLsTcPDO4L5+k6125s/mBt+ZY8tr4jVnkMAHgBoiLaQkGLX6aS5Yr9nyAkUnOLQj+AGUSmOUpDiiBVkeAUhr+xX9tjyiphnpAimFNAQbSFjyyaiU/TfM+QECk5x8hdp36L4MFHDw0cSYgWZXkHIK/uVPba8KnrziwBQnA0ozoIt25jWHgvFCWXTcgIFoKjfygmiUew3dhp0ExKEVkSjqL8KhR7K7ez5oOimBGjdO43J38ExU/qdHHPFfs+QEygYxUIfr/F+UcWHidgvFrolySmqKBT918wHZm4st6rZKKIpAYr3i0vAflFFowi/Z8gJFJxiStgvqvgwcSDFlLFfVFEp2q/sseVVMfaLaEoB7xf5zR2YumK/CL9nyAkUgKJeKB9EoziwXyz0PVYIrYhGcWK/6HlVrAdFN6WA94tr/jYCxT4OivZ7hpxAwSnmiv2iikqRNj17v1hoUzRQFFEp2q/sseUVscZ+EU0p4P1iyTf2iyo6Rf89Q06g4BRpx7p3GioqxVIyUqT97xBaEZWi/coeW14Rc+wX0ZQC3i8uIVT7YjePqisZyqblBApAcc5AcWK/uHefeL+4xFBB7gv7Rf+VPba8QmDOg+KcB8Xp/eLeYIMUZz4ozgwUp/eLbkgp3h37RRWNYsd+cYnYL6poFDv2i55XxdgvoikBmveLS8B+UUWn6L9nyAkUnCKt4kOnIeLDxIoU6439oopK0X5ljy2viil2GmBKgOL9YqFbXaHai+gU/fcMOYGCU2wp9IsthX6xpdAvtlhBWg79ov3KHlteFY9+EUwJcA3vNNoV+kURnaL/niEnUACKI/SLbYR+cX+sGyjO0C+KaBRn6Bctr4pHvwimFIB+sfVQ7Vs/+kX/PUNOoOAUaRcvdBoiPkwM/eLeE+x2RVSK9it7bHlVjPNFNKUA9Iv9DtVeRKfov2fICRScIu3XBooiKkXa3g2dxogVZJTQL9qv7LHlFTEf/SKYUiB5pzFS6BdFdIr+e4acQAEoztAvjhn6RdrHD53GvEK/KKJStF/ZY8srBObRL4IpBaBfHDNUexGB4oSyaTmBglOke1Wh0xDRKPbQL07+zKZR7BU7DftVKPbQL4pmpwimFIB+cbZQ7UV0iv57hpxAwSje1439oooPE7FfvK9QQVQUiv7r9tjzqhj7RTQlQKnWadxXwX5RRaMIv2fICRScYkrYL6r4MBHnizdNHrz0qKgU7Vf22PKqGPtFNCXA5f3inS6s9io6Rf89Q06gABRHgk5DRaM4WqAo37NQu/o9C/FKfxWPRwsURwqdBpoSoHu/eNPuUKTY60GxV6DYvV90Qx86YoyXp8oWxydov44p+75khRbQ9lvsBVR6k4xA4s20ANF59vICWmRY75Zs2H9C+zLXuu8sh2yZt42YYgPcuEPioGlRCgdNfju0WnC6Lh7CcUL7lc3ee+O66LblksEaAOqRQ+K1axFebsnCcUKyBWXvvLFs6UatLLlZkcUvy2yeR3YcBdmSgFE4oL0jooasma5Q7cGaA+aOQeqvaVE6ZsmjcEB7T0oIweCvCLlWA9yyQ+LdCIE4CPKrpcbvwSEQJ0TvfWiTKBYt+vRsqWAKAHXHIXHZtQgpt2SBOCEyXvm2d8+2qt1VULEBbtwhcdC0KIWDJodjbmS1cHWHAsSHiWu0sN/rXFniuUYMnV4RrYkuP2gGdqN20eFmSLMG91xHVIsB28rOE5BHQPL+9Jarpc0hDU0zQGrMPUmjZFgFUgPqtcr1A1E28pUO/QB3+mjXzOCAAMjd0igNVWJylRsAnqBHgO79cTnXW/c3FcB2lY8sgH+SRtmwisAN2DfaH9KdvcjGvtHd3MC+0bmvBB4IgOwtjfJQJSazEWTvdgGqdHEB6KULHQraZgDZaxplwyoCN2Dfr72F8u2QHy7zh99MPX0pp4IHLCN5TaEsTIUDScvrAQXyaxjebiQ/bx6SGHkGAnlJI3RFRaCG5Pv+6sTbITv5NZm98NnTvqw2kT0Dgb6mMW6qxYFtJvA3yw7Ri/QC/PtqSm/kLwDy1zTiv6gI7ID/uG/ZTRfkh8vj9W7Af9RMJxjcBQGQv6VRIqbFgW0G+btlgPijl6648OYMs71lZC8p1HnOH6gB+Zl2b/F2yA+XJ5c/1T5p+20HBwRA8pZGWZgWB7YZJO+WAcr0ORdQvCpVx5InANLXNOo/qwjskD9vSn47ZOdPX+LBZn9/1QyrvgCBv6YxIqrFADYT+JtlgAptEwTF9CllLHkCBP6SRvmwisDO+Rf61qc3fCI+TFwjhQwd/gIaHWoyBxQA9p5GaLgWA7YVIO92Aam0Rx/UrhpVGppmALhbGiXDKpAaUE/looLydsgPlyvP9lQ7fd78gn5HASRvaZSHaXHg0iJ7QEg/5b4/keOKV52qGHkBkL6mEf9FRWAH/PO1t/u/HfLDZd6qpdoz3Q8DXb4CSN/SKA9V4nLRAntAgf2aSZSK7NdMYt7InoHAXtIIX1ERuCH7vo98vB2ys++dy5/RX/WqBfoMBPqaxripFge2mcDfLAO0j5+A4raPxoBxBpC/plH/WUVgB/zLmh1U7/VVNv5lDR8LPv6y6ha2vQogf0ujREyLAWwG+btlgPaHXkFx2RNsMM4A8tc0yodVBHbA/077BNjbIRt/2ulXodcv9Jm/hPwFQP6WRomYFgPYDPJ3ywAVmSKp4vVHx8InAPLXNMqHVQR2yH9MKi1vh+z8Z+YiaOpnoyIELjAQ+GsaI6JaDGAzgb9ZBmgfSgTFtAIWgs9A4C9plA+rCOyAf+UvAL8d8sPlSgclXX1d1ati/yMA8rc0SsS0OHBpuT0g5F9peQ3o11rCiFMBpK9pxH3WELgB+1b2ieC3Q364vI8Qu/ZWJhUg90AAZG9plIZpcSBrqT0gZN/oEnXs+mn6dmPREwDpaxrxX1QEdsC/X3Qy/C2KDxf3wQtX3lOKza8AyN7SKA3T4kB5jR2/2QVkH1EH7nMfngfuDATukka9ZxVIDan3yp+wi7KTXzO3mZD8yLHtFSCQ1zTGQ7U4UG2OFKFAn66sbkC/09ES7PgFQPqaRv1nFYEd8B/0ZgY6fpGN/6h0pYRrH/WOTa8ASN/SKA9VYjIbQfZuF6BMN1WC3nvfogG2GUD2mkbZsIrADdhP2g8GA36Rjf3Mmcufqp90Ag48YBnJawplYSoMYBtI3s0CtO8rAb3yOS03bR/ccu8kjZJhFYEakqcbyKHPF9nJz/3JeVA/94F1cGHKoXZwU9MYEdViAJsJ/M0yQI0+AguKR44DTgECf0mjfFhFYOf8l6J9X9DbIT9c3hcMmfoFzL2ErC4oAPw9jRBxLQ5kLbQH9ECINihDn7+AipbjXId/FbclZyAFtJN9Zi3ID5c7lzzVne5LyoEYFwBpWxr137Q4UI45Plh2KO9bq0BxbmGOrwCS1zTiv6gI7IB/ph0F3tmr/HB5ymqyqM8phVm+Asjf0igR0+LAbfOjCD0CdIV5/k0Ttxr4MxD4Sxr1//J5vpv9+KH1/eXN/blWuZqVIIuBHF7OpfNXazXRI37RtVxr5jXwqLgAmXf9FnpbTx/Zk21BcwwTFsd5Zz7jKr/yh+Ilr4p2LNuAyrtTJLe+i9+6k57fUMsCmKOc9/D7A0e+y0Vf4/Pj3AGhs/7yPYUN0AdMqOrSdSxjOkBcVqmWI62cZqwWjA/HshYA5Py0I6nzmpsp0fpohgSgOKgzArm7ouVkxB8JJjQ817q/dijBlOPQ/NEmear6Baf9xYIBv+ZsOVmAJ5r9K4aaL5XkWkUgHmxTAHGvoQDP0ivCDz3NFRQIckBWS9uX7mtwSPPggafFWACisdjFNKsicUi3EpD1WRrCFzC7CtpcMMOjrHLZj7sikPvKSk42/CT3lyt2mKvshpn7MOCdi2zBXYpvqA0ElH1TQuVNLNvw/m6lboWk8xI7g17eH23s4+ffeNB/0j3haXPodAUrQavkSFXIciicFnOxYVrFulCXRGf6B98wl+eaf6fdYq5Gq+0Bx6z0ieXdgutL7tPe46nt/IEiYxcx6J0cpSxf8n3cyWGXC5SS99cY7XKOUsbeMGPXc2gKu57jyHJez1Hugt8qfft0X3vlUYHHAgoCq12XKnkHcUpjqUDPcpmAAfwtElXX2UE11/XQmTrUjQD1cLcByljUmZhlp5wC4tDDAXZY1Qmdg/9HWu+bvkq2CwTf076gOeihGULkeWht0L4ke+5LEOircQ2AssbdF4dQIdofmjo/BIXGKnP7k5uieFx7Am+2Rf4KDgpEsVjl+kqQiw7c0m4Y1QsA26aIKiQePgASFq5YeD5FR8cVP+mD07QDg7aE0U5ZvTfhv/VLAf6KPxjd9FqE5W6ts753zYDcAhAvRtCPVOO30u1r1H8N2f7I7hSAiwYc9Px/A99a/8ZGwR+1Ngo3XdDXxtEo3PR1cWwLblrIz9AWaAprC44sZ1twl7av0rEPZt90bS22Lpqi3dI2P9uMOr7h8pC7rKo3qPm1L3rcdbWLtDHNCHsi+vbjvtdsNc0yqn1OZJ/jOMrc/tQ03VXUZWf1XWo6/OcU930rUOoBMMN7yk53+mII/r56rpC8xxaafxcPNDeIrH2Vf4lw4fYSUgQOH+gfV2Ud9JpvBfHay+vEP/e998yDaInoUtz9Vn1ZzDQ/DpCGuq5Ktj/xcFObsKcmkIq60Rmhelw65YnEK1QFkBlcDX9ng/xtSkx1Mvxoj3yWvIXsDeyhLNJF63vKxMg97sZTMKpXK043LWtdOwHtZqBlj3uslqvtOLd9Sf89hlw6Q2vffT1g2kW+7x+qa6Cx10hvumNwtA012g910z32e6RH25JqernpXCurNUt04naAM7SHoBf3dpaMfL5+qmlePP7B5qVmKWbavNTcY1XXFNa8HFmempd73yNxD/0ytAI1yyXP9WIXn4Chn3Q+dOzC/5N6FLqChx4H7W7J0qOE626wh/iVdStr5JaPbkWvqbmT3l1T++e//yfoNf7ky2oU0horrwT75p01MtErbXKSa2jGlfTn1m+6s8Z7EI1kpUuLcdDWeJCtQ7a2hlwmrh7JRz8i6GCNRRuqicgjK1Yioy42YIM0daD7o58IaFkRVSbqIE0BG6QZwG6qOqFw8P3AIK3ui1I6DtIqLTzeE0dpjb5uXopD7drdgg1vTLYxmiE2RHOER1KuVMZabtiGaO6eDdEqvYBumI1uGtsTD1EMgA7RHLIhmkPCwRULyafY/CxDNDp7N9sxRKMrmsbVRl3FPdOrztKl4JdrroETj6Hm/fk/faHuYVVyvNZJbnBq9byIirIV+vMP6E6rlTbLyG9ZWyW2HTUUVP4JVMv/7sug25/WsPGvzwpKNfDXP2II986QRqHS78k3cQKU9+aX1TeOvd259GtSj7IaiEu+gsHAat4Lr1UbJIPBW79ELsdUbrpdZp+bm9py6ie8ZWJ+ZHmaGPbB8/Jbzp8LwIvlMDJ5AjTL49Tx01vrpZCGEeR51tZabjG7b7ksbXWou9n1R72K1JocJSwwXgy/vdVdPR8fr03yycx6DT5emyTGNSUEaiqTPy1dgtjljI4CcnLt4QCvcKk6WnkgUcyJ+NUcEmD3jghoGRB1Juq5OQXEoYcD7LCqEzoH/w+0wmusrF8pKHs3J8WORjnTIersx267DKp0RGknobWbCfKU25oN4XdpDwBoN397cZ1z0Ezuxe0K8BW8E4gD4fJNhwRSca0AyFs9R8S3B0LsvigVck8x+VlaX/rCBi3M7qlRaH1LbQ3a3L/ao5WRapHmtVS8VO8X1uTSpXneEPP4Z01Pa5fb+6reNvh9retfv1f/fkSjao9WGj4akd57b97RFtZM6zrWEtayL4j1lpB/t3YwJD9bwUotzg11vqW9fOR1vqUbgZb2/E2rkIla5xWwOm8AV1JVJ1VYzVmdV4esztdyI6BstQlRUeu8AlbnDZBGStRpExb5f2jkRbdjYJVvF9150LDKNzqRWBxptCRP91hqnQFA67xDWukB4fppaqUCu2Wr9Oae1XmqUHRrszcVdAwLtLosld4Aq/OOSItlOrVJO6LyMw25KnfkUOd/R02nWv3nXln/4gsdf7/ysJ602gpYkQUwOjvJC2A6+PojU/ULH705aPn/hpfklmN69efS19d8NzYe3gv/x+dltqVPryrt8RLPQOi42rOs/2RNb40X0KMPNz1ewKztaXQ2Lp1NT1vDb2h6Go3fsOnh363pCcnPpqfVew8GaKq/V+Na3xdtgzZJQZd5ZdZ32os6vmE1rtUVlLw3v/W9A35BjeYdoZn1VINWAndVLnd7P4koelqMa/e+07LQJJHbVl5/APclRdPrulvN1wEwwaY3Ma7Ydr6oQ1PQSlAA6CxZCKOkED9cBwBspSc5bb78KDFF5PKBRblGXXbf27H6/voMQWv2O3uIpqVqq53e99c32qm5RxQOWczpfsD9JqvRYky/Y6o1yqODjQjlc1bhqcQv1AWQWuxlH5vbfu3ZDKY6OX50We6pCL596rRfJWV0uV99H1czqF9r6rsHe31PBBewBl1lp1iEd4fW097oRwT2G9FOF4FtV+9MS2yd9oX0TYcWzurOsua4vO2OSXc6vVB3rGihYhmmXnxGM/RusYErqc7XCZRW7S6B0MpEezJSfTlamU5vwLGd6XTjNVYcTWEtzZHlua25+MqdKlfjKJCL1ppZriexVqt1If9Pn+jR19fHoLdIq5fyZTnvs3SgqktytKnmPpfk/hN1CnRrbLmlJ2gTe7SwnCC3QKewOocTwR8oorr8owvH2kOEVdXd4vuaqjTYvqbKv9uKakj+PR2Ev66RDgK0SQp7XfNsL+r4SAfhaxtWO42qJ7LXNdw/vJPi+97VSJPq72qkewDnJYW9a5HuAQGmZ+9qpGmHFNz4Y5aWYhAlhb1vUR0AsBV7ZyPdA6SIXH5M9+DvbKx78GBaInvPYr0DQBZye2djLTqmknYfIekd4OlpInvP4qoAMoP6zsY6B0h1Mvxw53AORrCQrnkNd3G79hFxejmp10Y+Ff81UN0lqCQrMCHLUx0shTerdLn8ToHL5oedtz88AckredDxMzSeq62/yGT1CcFqCucCr3tiS7igVbwnNq02TobZ+gdawaMpWAi9xLrK2Q5O3oLlLeEcR9slKbwtjFnOJzEufrdtreGgVzSuT3+3trCPfQH/c4pvbws7bRWu2BQOumy/Y1Noaawl7HQT7/1eku9rCtfsjNs13UJnQBEy68He7wO6D2vQnDi/A9SclT9neQZ0gVfNPgOapdMyxP0O4GYjlw80hX32fUpoBS4nGQQadNM3uubWv1qRu7wPSUaCaF/Y+whtP+sx2zNEN31nJqguvANZxk5b7Ov7iHrwxO+jDeFZ+KgOlCYqofKN3OPOkUEL9zgs0BRW+Y4sT5WPvmp7wwvJQWsmuIts0FsCB+YacsEuMhP1xaQC9mrSAH6jqOrkfaOasxeU6pC9oBylIaCMVZ2K+oJSAXtBaQA7rOqEzsH/A8tkg05YpvCCctBJ/Bq2kY1ZZF+DQGM22ZIhb/ccsFeUDtk7SoD4XaIrlreNbtxeUrqL9pJylFV48d3moMHuDS8pAdCXlA7ZS0qHlIYpVqJnfH6WFTMaKLRjH9mf0pyC7prVj+7U4zWSLzDJ+/2c9BM4aS+Z6RLWe8vkNif5d/wtnNIS97/08u/z35DFm1bo+WXkmjaCkV+C6V99fPXquZdSZE0YMx8hd4TK9XoOF10Vt5cI9l1Yq2+kzw85QMVrNeR3dUgalynLK1XGWPPim1LliyD6e52ylnJkOJuWea2x4T4gvRuW2e69XC3AahhaR2CugcQWeaStol0wrMAo0v0YwHepqzr60OgWbxS/ijsiUrN0u8hMVRELpWs+uNj4IaI6uZUoAeT7gYZkaZy8wEC3aA1aR5p17ks8DCK2dMisOrQINl51KHMPHRywc9oOjdWZ7zEMQIPu63G9dHFIKy9uW4Cv4KFA9Oxpn0d2aNAVl3uBhvWCzKap3CkkDj4AEhKuV2me0fnYJ+Qm7b3fa1pllZZGR8Hm3qh3O/QAiJZDdgPnGd+BLOPRos2yv9hU6LIyrkKFV28EeAAg3atnOQErcatqP4uefIxDoQJmsrVnsZ3mnoDiG7V+IMb0+SQ+o746833Fwtz30w2HHgitqVthU5bxHUjLyKSeZa/RvQd5xqKvpd+BzAnP+A7U97m+4MQ7kGb88R+Ro41+ky64pghLJ/a3e5pHhyygP+LVsjU30C3OoXf5Db+hof0v/+HLvnSlVJga+rLYH3+86/Hxho5IZ7rm83RwdZQXjEdnTiVMBvl3G42G5E8dBt1X54PZNwcGN3D3nn7pRHCW22eFq5HKvcCSmXkyophknKfAGiJQe6O5ZQrJukVYicWy/ip+ad7o90ea/jWgopPDEGVDWtr3WM3S0z70IrPQSSvGvIDDAFHJJUAzrRHXLKDEAN066si9x8OuQ8YabkeAlUdd0STmq+g42PDJo8W3hWe6xc6TiZtWOxp/sUOeZxr6gAb8tsbnnosFf5Ik3lV+o1y0zcg0ikBP8YLfth+aC3380NmxSWs1V6gnjtBXhdfToHrOj/QuNMuDR8gAcaDNdwXS0NbevbdatThgj1CRu++b9lzJvYfB+AwZ+PrJndE05q5qORjJU5T6cesXPyZd9JINeFgdqU0mXprlCbAsK86rQx33+IZuPN+8N3p0vsvBudmc+4c/pQylfFx0VIM6L/rOMEAPL+d1D60fkO0ZsVzfYL00HtssbB+Y/14WP2mKRDcEpH2yb03npHc55y67g+C5S+7jnLusOcR8Z+6y6NTe+rk5U7dPXxX6Jv6C6XV30OibAv6972zwLGHr3jdXv6cGtPYhW/ixm2rH8bvZRnwloSm8q2q/8/jd7Mfxu3TR52UbrJwspCCy5MpnLrlGuKyLJ4bY6okjvN5hOmU5xKzaAoo6Zgsok15BOqDMRaGJuoCigC2gGCArPqJO14P6jz2GN+kbdGH9JF15DQ9g9WQBdKuKQ0S37IZAlh0csNUTh2z1BCBe5HDFsgyipm3txLyzpZPZaKkKVlwm3bKzj5OIVgB06cQhWzpxSDi4YmF5RuZnWTmhNco84srJ33I97HnqFtwy8JXCqpK6BfA3vlnob/dHjO80Pr/sQWsdY37+7/fXh9utew33F+qpdwptxV/agBZe5sp3jev37N5N135ZDy8I0rWmiWGYaWnsJUG6aotH4E49j4/08+lag28c/GwvaBs4tDSeyF4ZLDcuWS1+SvR9Lw2WowmX3t8AKUav3/l7EF2fT/TWKKzYG2Kr/JbrHUTfFZj1dxDP1fYQ6pDBcuT0gbcHiXqr1/D2wCF7VbCg1anW9yHrXIlce23fA+kKP2R8huxlgTvxDgQZ6xzfC7kTB8ePvkHwZR1Z09tBKgDwM7n3JkeBrCjq4iEAvL74FYpreCG7YD7oY29kn6vXQviNvL2CPXNJp/pDzz/WM0LopoFzh8ZCJ3bxaVlLRyuxU1gXH3NoD59zyPYGCM8ll3wlmGqmTBePZpiLpkz3svrsdDWEM2gwWacchsic0jRINM2GzUnNC0shXpqGyOMDPfMyNrHRQkRmlAvYe1etqVsOt4TA5jR6SJPWFAB0iKjzDJV5Num5pZ10CzYjdS8sjfopSg4mX+PNNStG5Y5Pess8z1yZ6Zi/TEH9KesMlRxCZMn8oRPLr7I9ZUVk3mkaZFJqNmzOKj7Y79s/y43ef2jamuib9vH5ssyTTfKDrtiw6Sg8XZ2yLmg5BbPY9cDqza/HRYsD/oQFkcmmK5HpKDxknbK6M5aGnTUdyOXrTx8ppTTq906ffLAi50sHnTrb0528im+cz+AJUhtU4VLeft1E86pxtXNe5VMotORTtT/fZ956SrSRWxcC3fzT8aiePrAdJCVq9vE49YpKz8+N7qqzM+wHOdu2h6fxhvfIdU6uUuIDVDC7Ws8449xqEXd5SQXmVSLZrIpln1OJLDMq1qTzKbZjsynzpLvvfJrLc0g3Y/pU1hmVITalckQ9Fp3GJ/L/SNud6BLwOK1KLYVTswu4R5hW2dPWaZUBPq0yyKdVDsm0yhTrtEpM27TK3bN5VaK5167ylum6MioVUedUCtiMSgFzXhUavSMmP8uEKtHnwK7zTpM/XPOaq/Z2jQxV8N2lDzjtAHu3fHV/Nw7rqfdVlI62gd8WXCnTHGxVx7TahjUF23knHheJEy47W8HHRXLcIJZS4Zo7Lrk+0JB5FQ21IY1Lapk3XVWw3wmTRC+fVKZnRV0XprgvzC1S0TK2ZbH/ULnPvQPPdHW+ccqsifz1k3gDv3NN1PyRH5UC59N1HCtIXeNZ9cKQzqM3slLXXEojQF6o7Jw9xX1hbpGKtg4cAz3WZbLFi+PXGlpT2TjD78LnCjGYeo7NOdd0ywEVQ7JNnx0Z/pxr5s9eGmeRgbOl2Cwtt0gVn7Paf7hs8dq6aHM+PGeVlTP+LnwujIHqD5zpbV98zvQxuvic6cycP+eb57TmhcjA2VJsFpZbpIrPWe0/XM74nGu5RrAmsnGG34VPDjEQ/R/8ct7KTh8WpTY48+cxHKGuut8cH4VKob1HBPDccK45x5pKEbB3nyiw3eYTFZDm5pm0a1GALXEmhtidR0CqqmG9tClTnGHbAmw14h+kUZqqJfCWosJYva5L1hsMSvRx0o7BWNBNH/4xYwvYm7TNIQUgGJCGaYEWA5JMcgwSfzAadDOF6JEoz6LeyJNgAKMBaeR5mpbIPIaDrm3KoWxUfqPzCEiX8ijRoIXWdkM0BMBoeBph6loMKK8tBEO8eSDUhqqRKDftCPRJNO8p9Gl5GqFpWiLvGAyyub+l4hCdRNDHYxBdZAbRuNesPnXwSACMhqcRXq7FgJsfj0PizyNASfWwYrIp3rBxATAckEaJqpbI/MdcN4t11JoZOgNpyJIT7+YdaX9bEQAfQyrU6ealF9dBl7JXKGsKcKDmawlp2oUq2nXYYMC8kOzmZiDy9Rte/5HKwc98dFmisydBxxnk6S0Xkid6POeztUGYLmXqenvSYduW6di9dDU0Tn8XkTyPQ8dPP8pA+ugWGzrP0cfzdTI+Y/6GUbK8KHgvJW2R6VQAPv/yW+e2nT7+jlPbTvfp4xr9Pqs35PSQTmyfjh1oCpvWHlnOWW2/bl6wK/IOnWYJJq7srbjYaUpxF96VJcKUASaLTXd8icgfP2cltFi9810ufDUHBKBzlwkBPcohqkwsYlcBceThgLgp6pRC5PuBSWy/Lrl0jTRn2lHW62qn+UUaQ8v7SmezikP2YMvis8Jg8r0K4W7nDGl1X9D2AIRuvEkvrpTODKel1AwL8BXcE4gi0eUFIyNt3lM2dLBeANg0hVMh8e8BkFAwvUrxjMzPMpWlw6Xt+d3gqqGztwG1DQ4j/RJeDfKuabrHrpx3dv7lrp8rCOE+tri5QGu1rK2lgZV+T6hbytfoYQ/1RfeoZpysKuKTVUd4crRknJ7SsgFOTultx5Vb+H3iZNdlnbAq4lNWRXTSyRp1SqoWfcqqPnkK9tnzB557FGK8bNIqCExaHeFpp9ixSal4AtPW7Sn+PnHS67JOXC0aNnV1xOLXfGpq0bapqz0PS6G8rhALnLwqL5+8KuKTV0cGPnebnCp3n74yd/h94uTX5RqfO0xhHbH4NZ+iqkWfwqpPnkJ5XRiLMIlVzCexivgk1pEZnrtOUtUTn8ayp/D7xEmwyzU+d5jKOpL9udtUVS36VFZ98hTKK4dY/LjJ7KRzCTnBKNMRm8wCxNPQBdx8BksmqgsY9G0vmMxOuo99VkzT96sO0GKATmYd0sksIlXUiF6ZqLptm8y6f57GaIqWyJuKjGE+mXXIJrMI7WmoGdOJqjnkk1lz2tMILdfigExmHbLJLISMp6EQZZ6owpPQySw8LUujz1O1HMxjOGwy65BOZhHZ01CPhkxUPRo2mfVoWBplaloc4MksxEcnswDxNBSizBNVeBI6mYWnZWmUpmo5eMdg2GTWIZvMIrSnoW5NJqrukU1m3WtLo7xMiwMymXXIJrMIJdEjimWi6sZtMusOehojKloO5j9mMot1VJuZWvkbAIys5DfOZV22XWaK8DTUFcgs1W3YTHbS524rJplZ8ogOlcGKQeqI6FA/I5Nvmc1OOqhzw0QVAmKz2VU3O73CganrU76n2ex65NTVNrnQhMXk4yvqhN9FJMsjavjpU1kqg3P35X6lieycWyP3zy/0HvZaE+ewB26/YJn3Gv/6u1vfevs9b2BGSzw6HJPJKzD0fhgD5ma/RBp8zt1NLoHHolN6zdH4Ngv7Pe+ztpZXxDEtOZ/FZesPAKpk2Or62IFVcyJS/tTwV6EieQMzqm8KzaZHjxmo9NmJDGQrHfAeQrZefEpPrKtoZP337bvnVVFG+spt6rknA2pn/5nsrAXMqahk/VemonkDMyBbU0nhydZczL4C1Z5szXwIS8mK6GTtd2ZneVUU+wokvefEgNzhydaUC5oTUcjCr0xF8wZmSLZcOT5Zvv4VyNJZA3uy9zXxyYroZO139t3yqpjDk1XrTpb22g8nSzf+gTkRlaz/yk9F8wZmHxyYDrp8Zd//MtbANu3IGERfaucj2g7li7ayL2BSN0ZApqOVdC/b/oYHy8tlup6mJ0gxeMeMaVCZjVAOQcSTByKJjYjKQee+BlgVgJSoY5bGCbKSg/AuHc6PVo8qRqFee8/XAxE+omu2FrC/n2L+KABh8DTMyZWovM1AGMSVByI3HYOB0NINTBmjzwDGwdI4RdFycA6BqKt/oAE8BiJX+UYwQHRkq0Ik6CNhayLgkRAAI2FphLkpUbnKd4INEWceiFSxI0rpA2odH4EAEApP4yRFy8E6hqKsZqSGmlHpjMf+dCZClTazuzW6lXOCQyxjIDSFcDINJif+jpch4gnEodAuqwlx2O8doGoogHGwNMZQtRyUf8wYFColtCiXy4OGYhmviTCg06Bwu2pIpzX5F9HQ12ju6lDeBdghapJD09AnQROqMMCsKGKOqBJz9eDyLcPQ0eiivY7DUH8aOgylC+biO5WnbE+j0ME7sHwcqoCNOyd9B/Q9wAaeh46fPhIdtMZ6x5Hon9Ly6XoQE7ce/tP7Ww/9kMef7eMcdXS48fXdS2a/4biYX3XhN/LZkHaWystRQ++BEKAMHa0rIOeT6MM+tHrUd/e+z3CqQOcX97UO8Ou1+3rNK6IOSRUQ6w8A9JzvVnfzGJiN3TogVlfsV6UieQOzPaNWKryO5WRzMvsCXF1U8i6bq4r/wwQn679u3y2viEnPtyr7JKMsBzRYHLs03ZgITtZ+rbgEdzBDskn3aCpAr33Ck734Lg21cPFdlGxfBCfrv27fLa+Id4pPNumOUAdufLLp7m5MBCdrv1Zcaz2YAVldmTayq/m4wpO96RaRy8juzwdpsFUwsvDrviPJ8orYr/Bk1foDgAJP9qYzXmbs/2HtW3KtyXnk5rWKb2ygL/Kh5zIML6GA9uTciSfevkWJDAZ5/na7GkYNvmKcFIPBq0emlCmpAbH+q0l5Sbv5ZrG6BOFi5YD3wmLlrHWvxmUfxG78arhY//VsCHXxH9p8u1hld7G6AoLcXZasAcPF4tfKqydJ2T+dWH7XqNH3BMctt9mMlIW8Zz8JQNeZbHmve3+nvZ9Y7sc/yzZAvv+e+z6Rrzl79MCLA4dpF1LohPMJSFM36leOgDhulFsByZjFZ9eQzOMl6T51xDCdU+NkPNJK35AM2c/soVzIhrT8LbwBnAu/RlWpE7cPD6dCo/kEqKgb9bt3yqfP4w3gXNg1JPN4ybpjMnS+lZNxydsbMyTjkjcJOmVDXgd/KkWkAGfDr1Fd5oWAzcTp0Hg4HToD7I7lpNRBOz4YwOmwa1yoesnKQzpsLp7SscZSmwkkaB/1CrY9JTV5rwsFKB10zdEFLwT0s+GVQxoPp0NXByjP116Mp7/FpW8P0N9Lr/G/qHrJymM6dKGG09FXHb9GSIdsRV0qpUO+JBjUdg3gdPg1KtW8OHCYOB0azydAe0bY07xKPQ//KQ5A2cA1pHM7ybr/S7Ps1GFZn3tfe79aReYrO5QNsZ+zBueAvHmyq41D+5mAfNQZ/9oK/O0bFvk1a8Ts/mBBNngc0ljcyQk2yfl/mmqXZ/h9Xqb+CXnfCHxpvCQOfSkFVSoX/J5rv5vcjDadbj7mfWELhPJt6sWfWPb/wyz7vTe8lPfF6n9h24p/8fU6PYU8ckj48+fBwnkCPgLI210GyDdl6ybj0ftdmLaE7cCrl5/S1zm23LxfuvlcAoRu77LlBSo7q5GqciBaDmGyDGlg8o0HC5VBNAh99llf8PDs/Rvg30ywA3j18sZCzTuEHnbIfB5Nk17+aJrUmZkgU8CC0dIINUl9r8JS2fyIGVIlp6+SUDPBDeDEZqU18uMbMtncVFeQOVuQaSZkKmChaGkLlGQcmZ2r5m8GhL+HRL2DhY4oc7DIHv485tdlBmATcT1+5M1UEgoTZApYKJ1ra5KxpZbSotQIrAjk41eSWrhxlNhwCjcqK6eRm19IjYAQFa7aT9knvLk7M0GmgIVSuNklGVtqvbl6/mZgRVCfkK4aG0fNjafGxmWlNX7zDsERELq78OU3y4UJMgUsmJv+JlHIETtmEhsAYZ8hYTU2kZqbUI1NzEpb9OrdxQZA6Ebjyx/uzGGCTAELZlC3EoVssXs3BRYbgY8AlcW21jmZZoIfwKuXVxZr3iE2AkJXQ6ctG7ZSJwATdApYODUMGFHMFtzfJwqOwEcASlmPTaXnptRjUztlNXbzDLEREKpnsNj+VBYLE2QKWDBaGqE+WaxMJYQRNgIfAcjDuC+uO2aCH8CJ75TV2M0zxEZAxE6u18vkvM2Y1ck5n1xrk4Qjs9ckMwAis4dUjdhIRm5EIzYyK21Se01SA7DpbpY6GjV/NUDVqOuwchZmkLGlzhK6JjYX76wXy5yxcczceGZsXFZaoz6+IZJNoSpclx/Z4ptEwgTVG0ZXK22BltgtLa88sgbzs8yH0/ReoVnANG4HXr2c/zjq22QGU6hursXv2SDeXZkJKgUslJvrapBxZI7xE4UGQPjllUHyQA1DDeemBoVyFvcYP1FmAIRo1CB08JjqJsgGj6kobWEGGVvq3a4oNQIfAQrVifemhqEG2G9qUCinkZtfSI2AEFXKzF1fFgoTVApYILVxiFeW+bx3uHlIwEeAxjKf0DBggv8JDQulNXrzDrERELpn0OVPoX7NTZApYME8gwO9083DK36C2Ah8BOhcL97YPN7cfN7YvKy0Rm/eITYCInZyrX7l2YXlmgm5CpjcybU2iTmCewk3DwkQwX0GwbGZvLkZvbGZWWkT3Eu4gUjApuO6/b6tc08HE3QKWDj9CoKDmC1YngWC4AisCNazinsosbGU3JhKbGynrMZuniE2AkJVQsddwtO+myALswUobaEGIVusPAvwbUQCVgT1ob9tjY2l5sZUY2M7ZTV28wyxERCqO3Tg9b7I1TFAtE0L4w4DRpRwZI6ZZAZAuOfD9aLGZlJzM6qxmVlpi3zMJDUAQjdCB17pqd8MUNFsAcpZmEHGlrru/1komx8xQ6pabBwtN54WG5eV1qiPb4hkU6hq6LZbfbifgwkqBSyUGoYMlrFl9jCNFsyPmJVl9tgsem42PTYrK62R9zf8LXuYQnv7EzrsHp7y3QRVmCVAaQSa/prjeuItRAQ+AoREDW4YIzaawQ3Kymnc5hcyIyBCZ+io+6zcr8GEUAVM6AyDRJRxpKZptASI1DCN9g5uGCM2msENaoRpNPh1qWkabQHUSY/wdO8mqMLsgJa1EL+m0N5ZaryBiMBHgJCqGRvGzA1nxoZlpTV68w6xEdh0fPnL8+ZuguzleXcta4EGISK2XGkSLQGfBYRJtGXyaArT+B149XKeRIN3E5sAobu5VpcrPN27CbowO4DSFuzXRFqRp4ASBAdAIpgsNzQSmM4fGpmWtdjHCDcPCRCqUYLYwTPoboJs8Aw8SluoQcgWe6eJtAR8BHCzyNdPlEwzwQ/g1ctdDDxD7J0m0codJtHKHZ7z3QRZmCdAaYSaJ9GKPAvwkJOAjwAhYU9oKjARwROaGkpr/OYdgiMgdA/X7WWysydSPRzIw7U2ydhS3ysIZfMjZkjVe/HYChPcAF69PPyZjm+IZFMkTq7Ry6S28ISZADVN4uS6GgQcgT1UWzZFYA8JemOzeHOzeWOzstImsIdqy+am4lpc1m0OdeVugqrxrDtKW6A9VdlS4oi67ND3lsKzjKXEJlFykymxSVlpjb2EqTNwQ6o8i1DvJecX0V8TJsheHlVR2kIteVwt8jJUEBuBFYEcYkzpqtwoamwwlRuTldPIzS+kRkCIwgTaeuLj+XI3QXbxfDtKW5h3XpoqNU2hJUAimE+Qyo2jxoZTuVFZOYs8TaElQIhGuPwOQtOTPwALZHCIX9Nne5+TcPMQgcUuzyOUqhabR8vNp8XmZaU1evMOsREQOppEK/K8QpUEJsgqz7drWQu05kWp0tMkWgI+AvB84zJ5Eg0m+HuYRENpjb6nSbQECN0TOuoenuzdBF2YGUBpBJsn0sq44qJUAj5/7XdESfCIzWTkZjRiMxthIg3eITgCIjhMpBV5fqHeDiYET56BR2kEmxemykgTaQkQwZ09xMYycmMasbGdsiY2TaIlQKha6LxHeM53E2RhngClLdSvSbQizwLhJiICK4JJk2hlxsYyc2OasbFNmkSDZ4iNgFCFSbSynmHI1RtazTEtjDB9liSIzHql6bMEfBbw8HzjMrmZwDR+B169nOc64d2kJkDobq7Vy7zIWZgNUNMCubm+JhlH6hhB6BhB5uRU7Q/8HvKeGo8DGtnkP5D6dpFjBIlh6mxviDPI1Yjz6wAslDCBFmRsmXeYPgvmR0yePlsmNwuY4L5Ds0JpjfwO02fBFKrKtXiZ/JTvJqjCLAFKI9A4fba/PQ5/zwh8BAiJeqhhqAHuhxoUymnc5hcyIyBEYQKtPuEJ302QhRkClEaYeXlqfwwcpL5pCq2+YQqtvtww3thoXm5Qb5hCg19IfdMUWl3PJSQ0PNu7CaFhbkDLWohf02f17XFhKgEis4dUvbFhvLnhvLFhWWkT2+PCVAI23UWXh2d7N0EW5ga0rAXa86JULWkSLQEfAXgSrZbKoylM8AM48ZUwiQbvEFvSJNoCQkddwrO9m6ALcwMobcF+TaTtTz345iEBK4L1lOIeamwkNTeiGhvZKauxm2eIjYBQhUm0WsMTvpsgCzMEKG2h3nlRqsopgmFUjYBEQJNoywhjqpnOP8OYWmkSDZ5d7Egjah2h067had9NkIXZApS2UMfXuNr0DZSi++Ql4CPAif8Ay5Rf3/2FlBm605CZ+4tDlHv2K+Dw++gWHwkQonKiswLlxG7uzASZARqKlkaYLGNL7Xd8NSsBHwH4saH2h6dfYSLZAM4fo4cHcXjH3zYCQnfxXfAyqU2oAaqL2pOVszDv/HpW7f2E8ujnyQkQ7nFiP8dQ1K5vk8A80x/PfVzWPnfznufXY+xdQdel3HXKpQHYVDtJ58/Ubb3dTH5mltLhZt5NZQ4yttShq8qPbpuagMU/9u36sz/eVEPdjRJn0Beg9y2v/q4VQM03zoUkQKjsrmUcMjVPuLjcjv5YwOQaP0phg2VsqfMON4dsfsQMbX3eVGOOgdqk5qsXhh7meEWlZVNIrnBbOK9wWwgTRFe4LbTSCDHdFs6RbgsjIPzx/nkO9j4i9+DI4l27+XWZI90Wzni/MXsYsWCCrIcRb8Z7nShDpLarxgmXBHwE4JFpmTzhAtMicODVy3nUhHcTnAChK4MuL3xz6CbICt8calkEmidb2v3Em8MEfATghLX75ZtDmOAHcOK7wz08vENsBDbdRZfffHPoJshu7tC0rAX65JvDds840ZIAYQ+L0e2c1Ab/ZoIfgMYXFsLh3cXOONnS5CRo+tveYwS5YyS5YwS5k+tuErMFPy3eHCZgRfDQ/XR7QlOB6XJDU9OyGrt5htgICFXjm8MmG9g85KzGm0MAFkzjm8MkZIuVTQP5JiIBKwI5Fwweztfo8G8m+AG8ejn9Zc0zxEZAqF6u18u8yNV7BaL3ojBerrVJwpZZrvjGUgIWdwn30csMjaTkRlRiIyvhHh7eITUCQnfxI88y6a+qBqgu+otaOQvzym8stTKuIHTcSWhYiF5maB4lN58Sm1cJi+Dw7kLHFWT20G2XzuOrmyDrPL6iNEKN42tbT1oslc2PmCFVNTaNmptOjU3LSmvkxzdksilUhVdWl8lvLbkJqsJvLaE0Ak1/0faE7ojNj5h809fay09MMMEN4MTWwrK3+oZMNoXqDl11u3kByE1Q3XwzjNIW6JO6ojbj+moChD8sRLfODaPHRtO5QbWw8A2/LnPG1dUF3EHo4NVVNyF08OoqSpvQmVdXW29xdTUBK4IeFqOXSW30GC61U/vsYQkcfiE1AkLUSGivvOjjJqgqLxppWQux5ZXVNt74vlICFvsIC9FydhvXmJEbzogNa4RFcHiH2AgI3Vv4cn7cdRNkLz8ua1kL9M3vKrV5xfXVBMhxB+HBts3YPGZuPjM2rxket+EdYiMgdFfoqufFiz5ugu7iRSOUtmCvvMba5ojvKyVgH5hBKZuxkczciGZsZJOWwuHZxY74vlKbvQWxnV+ucBNknV/OQGmEmt9X6leN66sJkNNFaEl6GdxQYBq/A69e7n85eDaxCRCqwvW6X4WXf9wEWeHlI5RGqHlttd8Pj6vB/Iip4+rec2iZ2q2fQ1huazW6dRWAs+PRutzr9DL0dlE39UrA518CfPff75vXhJYZ0nzf3J/0++bxI+g6uvUdnLOL7m8GPgSMI1bf4en3SYW+9tahXV98s9/3O3hW9hjvYQ/mB+Z14lY3tSnroanNZGoY9rsFqaWDCBYq20IGoQp8CDjn7ChDOWf9WARqulD8LtGj7DEqCyWiY1qCjptnsFA1XSh+tyC1dBDBQutlhxBFwIXWW5N1GOr9slA1XSh+b4XKbuPCX4XMD8w3CJ2W3iN06vZ0EGq/W9QvCwUVCT27nv1mgISOJwjVs5NMKE5PMqH2+47eym7DdlwLJoR2S9Bx0y29h8a2X0MYPdRVlA4iWGgrMwpVwIXKd92XC22x8TRvPCdC/N4Kld1GmSyUiI5pCTpuysNC1XSh+N2iLlyTQeVCZVL+YaEKfAiwuroZ+tO5TqnpQvF7K1T2GPirkGlCZTmAhMosPfV5arpQ/K5B3qFvAhUJnbpZeAJI6KxB6BycajVJqP2+o7eyx/AOugSibQ5L0HEzQlegJgkdoa6idBDBQodtspqADwGNh5cRG8/wxnMixO8SPcoe42WhRLTNOnh4GbWyUDVdKH7XIK10EMFC55vGUQU+BHQeXmYJ4+gsaRzF7xI9yh4jjKNEdMwwjs4ndAXzSeMofrcgQ98EKgh9ZYM0Hl4M+BDA4+h73TyOmgmh/nsrVPYYhYYXJjpmGEdlWzbqCtQkoZPrqpcOIoLQ3pLQ3pLQwePoMt8gdLxJ6HhJ6PB6bJ4htLcgtPM4+spexIVoWhxH/XeL+g1Cex5HX9kqlYcXA1zoXW8aXpbJ46iZLhS/t0Jlt1F4HGWiY/I4+somrQ/RlDiO+u8WNfdNTuVCn7O095sBF/o8PI4us3KqH1v8swjxeytUdhv3oOGFiY7J4+gyuSsw04Xid4uax1GnIqHzSkLnlYROHkffJzQeM0no7CR0Uj1WzxA6ryB0tCB0vEHoeJPQEeoqSgcRLPRtcRw14ENAoeHllQcSqlNqulD83gqVPQaPo0y0zcrj6Cub0ZJQNV0oftcga+ibQOVCyxvHUQM+BPA4+pbYeEqJ46j/LtGj7DF4HGWibT48ji6Tx1EzXSh+1yAfHkedyoXWK46jBnwI4HH0rbHx1DuOo/67RI+yx+BxlImOeQWhk8dRM0noDHUVpYOIILTXJLTXJLQPHl7k9SBKtZokdNA4irLHqEFor0Fo53F0PVfz86iZLhS/W5ChbwKVC20ljaMKuFB534eEygMJCVXTheL3VqjsNkoYR4nomGEcbW8YR9V0ofjdog59E6hcaL/TOKqAC+0PP4/uD7op1Wq6UPzeCpXdxh3GUSI6ZhhH+x26gn6ncRS/W9RhHAUVCR0zCR0zCZ1hHO0zjKN9pnEUv+/oJ42j6hlCxwxCRxhH+3iC0PEkoeMJQkcYR0HlQkdL4+hoaRwdLYyjo4VxdLQ0juL3VqjsMcI4SkTbrGEcHTWMo2q6UPyuQYa5MqdyofNN4+h80zg6X34e3R9zU6rnm8ZR/N4KlT1GGEeJaJtPGEfnE7qC+cTnUf9dg3zCODrfPI6W64rjqAEfAngc3Z9xu1AzIdR/b4XKHoPHUSbaQmcYR+cM4+icaRzF76ps8jjqVCS0x3HUABLaeRzdn3BfJHTEcdR/32K612PzDKGdx9Fl8jharsbjqJkQ6r9bkFcQ2vM4Wu4Sn0cN+BDAz6NFHkg81Wa6UPwu0aPsMfh5lImOyeNouV/uCsx0ofjdguRx1Klc6HPHcdQAF/o8PI6WJzQeM13oQ/NhXnYbN4+jTHTMm4aX8lw8jprpQvG7RX1TTXYqEjriOGoACZ38PFpkS3OqU2qS0OnjqJfdxuBxlImO+QahI3QFapLQEerqE+bKnOofHUzxSGk5beqRTcBL+fMvoL3n9CtnfQF6JEY5yGq/O7uiYEDWkffm04asP4F8huNO5BSi9oeIDvD3X1+QcJdz2hUVe37eyY4BgNsRDQ9OTEASeTbAvme4SjbBXi7vFpIh27LJTu3wJR/6aHYOGwEakCMasztRVU6EZHg4SIZUZ9WuxeRlKc6yA+B2RMODExOQdJ9krIosW8BzMhIkAa2Bg/PzyAYHmh1lc8ACAmIxw4mpApEnI0HCPQaXkdd4H/YKAMSOaGxjhNCjvLOFdntCDoIt+1q3GgotYFpGDgkBGocjGqo7UTHKAvXBFtY6TKwWWK3t4grmAFgd0cDgBKE/Sb08Qbc7JCBDsuH1GmturlDy9N87URGg0TiiAbsTleRESEOGNvdlwrWYbPJf2TEAcDui4cGJCUgiz1bUVwlX/X5Dsj/01UPRveH1zZ0RARqQIxqzO1FVToRkZGhzX6Zdk7Ga2sU1zQEkwxEND05MQBJ5krGexFuJyUiQBCSfdHAVk2XPwWSwLRUGWCbgwTIBFs9EgjbxY8K1mBy7EBwDALUjGhycWPRJ4dm0ez2q81W/39DeSfv6GVzF9l7Z3BkRoAE5ojG7E1XlREhGhoRb9vfl7qXtIy3Jr9lgBqCxwYNFnxSe3bxl16k4fmZob7O9jyNyX3vjOe6YCNB4HNGI3YlKciJkIkPCfRc51paLXT+Vx08HwO2IhgcnJiCJPMkYI1z1+w3tbbhXdecqtjdv4L6JAAsIiMUMJ6YKRJ6MBAn3Gg7rHYrts4jIMQBwO6LhwYkJSCLPnuB1/sSKkRDZpls2PeE6Jsuvg3smAjQcRzRid6KawINMJESY6z6tjAs9ciIUuQUAZkc0ODix8KPCs2H4GmjueEORIdnNWzbc4gom67MP90wEaDyOaMjuREU5EVKRIeFeY2PlG1M5GHpyih0AtyMaHpxAQBR59tu+7p8extMvSLbCvqqchwVoAcOys9kYOAERcmImJ0cVEVkyviBJxmymXZOxHvUq37U4gGQ4osmAEwiIIk8y1lhz15iMBEkyepNTcsnXGh7fm5PhgCUDiCUDTiwZIPJkJEi41/BYOxdrZT1NsmMA4HZEw4MTCIgiz/bk5f3pYUj9gmTn8NJ/Xqpl772Gx0lDKgMakCMasztRVU6EZGRIuGWAnFxM1rjYr9lgBqCxwYNFnxSeHczlyLPwFPYFyU7b95Czud2XPE2+1DsxoPE4ohG7E5XkRMhEhjb39dO41Dk/k/wCALUjGp35sPCTxJOKUeUcxZCKBEk4Y9V2rmCrM7LcKJkDFg8QCxlOTBSIPBUJ2ty3SddifcjxbuQYALgd0fDgxAQkkWfv8zXaPOHB7AuSDcnbJcfnuS95cfWlzokBDcgRjdmdqConQjIyJNxrgGwvFyvz5+IsOwBuRzQ8ODEBSeTZF/3Zh/FyMjIkG5a/9w/3FmUNkJMGVQY0Hkc0ZPhQTU6DVGRImOXVjRqKXXJmPPkFAGpHNDo4sfiTxJMKmbkvMRUJkj2+ZUKfx9QqB0UTmdsaDgAN2D2YJLB4JhIkmZCp0haK3XK+IGUCADLhiGYCTiwTSeHZWL3NnxEH1AxJJvr7U7iCyfuxFw+oBFgugFgy4ERVORGSkSHhbtW0W7FV23lAdQDcjmh4cGICksiz9bq8jhFuwL8g2RddXnHiKiYbZxTunAjQgBzRmN2JqnIiJCNDwi3DIw+o7X1/bs6yA+B2RMODEwiIIs8G7bJEEMfUDMmm4veq8VzL+r06J24kBGhAjmjM7kRVORGSkSHhXgPkza2ry4GoPKg6AG5HNDw4gYAo8iRjPD/xHjwhEs4agbjgWcvmzokACweIRQwnpsl4PBMREeY1OnYeUXuvP3fIMAAwO6LBwQnCDwrPHu91EcQBNUOy/bq8ScUVbMi7VDygEqDxOKIhuxMV5URIRYaEew2ONw8+sg1I5wHVAXA7ouHBiQlIIs9O8OvqN9aKDMn27GsA4qJ7Qbxw50SABuSIxuxOVJUTIRkZ2tyXaddid5dDtckxAHA7ouHBiQlIIk8yZv2ZcUjNkAQ050+lSlbkKW9S58TACYgQixlOTBWIPBkJ2ty3addiY9V4HlUdQDIc0WTAiSUjiTy7yLcmpxNTMr4g2d59jUFcdC+s14eT4YAlA8iJmZwcVURkyfiCNvdj2rXY/hid/JoNZgAaGzxY9Enh2WL+7Wmx8AuSvd/LHdYZizzlTeqdGNB4HNGI3YlKciJkIkPCve5eebGw7K1RbnYMANyOaHhwYgKSyLMF/TXCVb/fkGyavgYgLrqAatk5bARoQI5ozO5EVTkRkpEh4ZZvcO9QbDG87BgAuB3R8ODEBCSRJxlyQOEdk5EgCWi8YeGwyHPe7MzmgAUExGKGE1MFIk9GgoRbjjJ8Q7FHDoEnxwDA7YiGBycmIIk8G9rL6bnh2ewLkt3mebawyPvKlfomBjQaRzTglyctiQJpyJCwytm6oZicvdvYKwAQO6KxwQmij/LOhvfyqW0YRBb0pLXDIq8z89rhAmZYO2RAA3JEY3YnqsqJkAwPB8ko8vVv42Lr38YpdgDcjmh4cAIBUfdJhuzlXmMyEiQBzRbyU+QLzsZ9EwEWEBCLGU5MFYg8GQkSbtnznTuZIpvghSwDALcjGh6cQEAUebbMbyUtH35Bspu9HOXDtUxejOblQwY0IEc0ZneiqpwIyciQcMv4yONIrY2XD90GMwCNDR4s+qTw7KovW+KF57IvSLa6f0coWprshc0dEwEajyMasTtRSU6ETGRoc18/nAjZ8eXlDDsAakc0OvNh4SeJZ8/9q6XFwy9I9oWXjSS4gu3tHrlzIkDjcURDdicqyomQigxt7tukay7mCIuHBCAXjmh4cGICksiTjN7CEuPvNyQByfZJPJ7Kx6SNx1MCLBlALBlwYskAkScjQcK9xsbJvUxf964v37U4AG5HNDw4MQFJ5Nmrv4y0gvgFySb69ea1xyLfm4a+iQCNxxENGT5Uk9MgFRkS5jU+vjUUu8L6IQGgdkSjgxOLP0k8O/nfI6wy/n5DssX+88Y6Ntf4yNXCbQ0HgAbsHlSSsyATGRLiu4TFwwXc4o8cAwC1IxocnFj0SeHJxLzS4uEXJAHNN6w7FvlmlRcPGbCAgFjMcGKqQOTJSJBwr8Hx5YY1xxMWDwkAtyMaHpxAwPW1eFivdoUlxt9vSPbqXyMQF11At+xsNgZOQIScmMnJUUVElowvSLhleJxcrL4/5WbHAMDtiIYHJxAQRZ5DA94nrR9+QbKj/1vt9bzj635nWD9kQANyRGN2J6rKiZCMDAm3fFRxc7GnhgVEAsDtiIYHJxDwfK0g1kd2vgm5SIhshL9GIC5Y5f3yTp0TAxqOIxqxO1FN4EEmEiKJmDOsHi6gSgSUCABIhCOaCDhB+EHhyUMvafHwC5JM9B7WHausTHLnxIBlYsQujpxYJkDkqUiQcMtH5oWLrabHi4cEgNsRDQ9OTEASeU4nkE8hwlznFyRHBqwBiIvWV0ZH6pwY0IAc0ZjdiapyIiQjQ5v7DsuHVTblLJ0dAwC3IxoenJiAJPKcXrAcPmEg+YLkSIF7hpXHKk+YD3dOBGhAjmjM7kRVORGSkaHNfZt2LbYaH68gEgBuRzQ8ODEBSeRJhnwfHvuLDElA8tk417Ii36/zQEKABQTEYoYTUwUiT0aChFs+aOd+pvT5w60ENpgBaGzwYNEnhefYg9rDVb/fkJxH0O6wfFjlKe/h3okAjccRjdidqCQnQiYyJNxreIyl7rB6SACoHdHozIeFnySeQxGeS4c9ed9v7mMREiTnFaxbxvOa0YGqPAZu3/LaYCe77Jdu5MwCIFXWIMjFarn9/kM0B/j7ry9ImJfeMxZZsZWRMxaZYwfADcjCgxfEHzWeXIznJ9x/Z0TikSlLrmBtrBrI4ykB+pdxRP947kT/vOBBnUiIMMt0JHcwTSYsua45AGZHNDg4QfhB4TlSQbY83/HK8dxjH6qQIDnroEz1/e43ZGuvRd8jANCOb5kS6BJPr0OHkHe/ik6A7Gv+ClBD17sLRUi45QymI+ORG6UVzLC1awNqeN9E/MhUJ/eSDlg0SeU5dUE2Ctx/LLlD3McuREQOQ5DdA0/BJm9qMnBcj/U3io1vQa+t7u9JvTquYStqBtTwRqAUSpCQX/a6lyx2CJcDWwYVOn+Z7afrIrK2q3E/2l7NDiJPKlbtuWMLyZDEs26aeH16ASX2TARoRXVE67I70druRGgjGRLu/oY33apsgMWvPBEAbkc0PDgxAUnkOcFhVbkah9MMyeEKq6Zy0QXU8F4DAxqQIxqzO1FVToRkZEi4S4ndjGySxR0GbDAD0NjgwaJPCs8BD/KmZRhOvyA5dWENALw6vYAWXmxg4MRDyImYnBxJRGSZ+IKE+67cmy77Da88EQBqRzQ682HhJ4knFevGp86YigRJOLOEtekF9PBeAwMWDxALGU5MFIg8FQkS7tHDm25N9tniN54IALcjGh6cQEAUeY6HkDdFwnPZFyRnNrQalqcXMMJ7DQxoQI5ozO5EVTkRkpEh4a49vOnW5DQ/fuOJAHA7ouHBCQREkefoiHO4EycjQ3Kmg5z5RK6e1fnyaw0MaDyOaMjwoZqcBqnIkDA/eNdLiz01vPFEAKgd0ejgBPFHiedgCXnZMgwjX5Cc+LBGKF5+ba/sHUFkbms4ADRg96CSnAWZyJBkYs7wkluT73lHyDAAZMIRzQScWPRJ4cnEeoJvNWYiQZIJ2Z2IK5gchM5vNTBguQBiyYATSwaIPBkJ2tx420uLtR7eeCIA3I5oeHBiApLIczrFuvu6wkTnglpYf5VjI9ZtJ6/ANjksnb+CZkADckRjdieqyomQDA8HyZA9jPlNtyYf+fIbTwSA2xEND05MQNJ9zq9YDlscUzMkh0vINhRcy+S4QX6rgQENyBGN2Z2oKidCMjIk3PKQxaWuGV54IgDUjmh05sPCTxJPKsYIq62/35CEM++wOr2AGr6KZsDiAWIhw4mJApGnIkHCPd7wnluTzcV4fwQCwO2IhgcnJiCJPCdhyANTHFMzJIdUtCcUXUC17Bw2AjQgRzRmd6KqnAjJyJBwr/GR98VYwB1eeSIA3I5oeHBiApLIc1bGeuB545iaITnG4n15hXrZPXwXzYDG44iGDB+qyWmQigwJ81PDi25N9lTmnRIIALUjGh2cIP4o8ZyncV1hF4/fb0gOubhKKNrkMZB7arc1HAAasHtQSc6CTGRIMrHuXnlLjCbbltWQYQDIhCOaCThB9FHhyUR/wmLr7zckmeg1rE4vYIbPohmwXACxZMCJJQNEnowECXfr4S23BdTwzhMB4HZEw4MTCIgiz0Ec5QkrYb/fkJyQsUY/LrqAGd5sYEADckRjdieqyomQjAwJ9zvDPhlNtj/jd54IALcjGh6cQEAUeQ7quEtYb/39huQEjbuHJep+PbFzYuAERMiJmZwcVURkyfiChPua4V23BfTwzhMB4HZEw4MTE5BEnmSMvBXKFyQBDWyFMuWOrcuDniZ2T9h1OVFe07VLS0QOXesCmf3sLEFmP89fvMpTnJRI0Oc/gJ6wtNovmc182XXv8VWpLh8Hl/DHG1dYUfxSffbWkm1Qt4RVvu/NtSLyYWQN5XWlQo4UOezL5Sx/9qEi509zgH2KyX32A7FLHnsHwJwA2Dy7SEA+AdnLHe617acOIj6AnndygsM1EKROosKYB7ljvmZIhEKciVIfmblysnLGcQ9IAcoELjFRcALgEHEqiNuhIrO57lcOHOFcKMC58GugSZ0kkTEZ+455hGQo9AmQ3DM4WZUVkYcCUoBygUtMlPlwe9NwKogZ0L0XvdztvZ89ifkAnAq/xsI3J0liSsXcS4+/31BIxWxyK0lsc9/OUUQH4FzYJVBlThy4z7rCFxSSsbqwUSkZo+yOy6kPEJKBa0yAOUkiYzKabFHaQjIU+gRo31w6W1uPx5yLY1Mq7AKTBA8OvFa1E8SZWI83sqzgbm2jUxD7ySeIDddY9OYkKYyZ6GuEvmrIhEKfAA2tYsrWy6P1RCNSgHKBS0wVnDiwiTgZxO3QLbN27lc+P2bmbXMqcAWiVw9JYczEuJpUpd9viDMxzv84mSwOlU7xKECZwCUmCU4AHCLOBHE79MgA6JmYeycHSsUBQi5wDTSpkyQyJaMP25QzQSEZsvFw4WTIt5bclSvAybBLoMqcAOjYmjtBIRmyZarnYvT9AhAxH4Bz4ddA0vsT7eGbdhoo98/jDqlQiFMx66t1TMlm3W8FeUAKUCpwiWmCEwCHiFNB3A7tpXH3W/ZiOlEfgHPh10CTOkkiQzLe65GNPDkZBn0CpLv6KtsCRujKDfBk+CWqyp04cFntTtCHoXVD//rdxSvLQ70x9QEoGXSNCTAnSWRKxnrufVMyDhSSMfcSjLPd62G4cTIUoGTgEqgyJw5sopAM5wa0buk7J2M0eW+UknGAkAxcYwLMSRIZk3G3vf3Q7zf0CdDQWmbJ6Hv6m5JxAE6GXWKq4MSBYvU7QZ8AXbLa7n7r3oGHqA/AyfBrIECdJJExGY+8khruLwziZDzlkpkBZ3sKVwuxKA0P9wxeFsDxzzkgSof2ArU7Xa2Ob3UN4Bz4NZCiTpK2mAM5wfEOdxYGcQ7kjMlTuZRNniJfGtQMoEzgElMFJwAOESeDuB0q+iSnflerm1wXFeBk+DXQpE6SyJSMvl9a/v2GQjLG3s+M2FZbrIMjOgAnwy6BKnMC4BCFZDi3Q1Uf5tSvvFvBzNsOqbArIEg9JIUxE6XuTch+v6FPgKrMUTlZqUO+QPV4FKBM4BKTBCcObCLOBHEDKu3HR9NXnjQLV0gFOBV+jcWvPpLEmIoq29eFOwuDPgHae9o5WX2v2IkrQKnAJaYJThx4rGoniFNR7/lDDaTe+zUlYr719SuKDtdY/OojSUypmHufvN9vKKRi9jBr8bbrjl24ApQKXAJN5sSBTRRS4dwOXfoop7mQ7Sa5QioQcoFrIECdJJExGa01qU2/3xAno/VL3sSiZPT9hQwl4wCcDLvEVMEJgEPEySBuhx5ZgnK/8p0l32QpwMnwa6BJnSSRMRmywtPCFI5BnAx52KycjC4vRPHApgAlA5eYKjgBcIg4GcTtUNGnOfUrhyVzpVSAk+HXQJM6SSJjMsZ9SYX6/YY+AdrvKzqbvNN488CmACUDl5gqOHHgsvqdIE6GvMH40E2WPG4OrpQKcDL8GhNgTpLIlAz5ZjLeZCkUkjH265HEthol957H5lToBZBkHhy4rXInKGTiTHG7217OAQ0gPkDIBK6x6M1JUhgzIa8dlnh3odAnQF2nTJVtygHm3J0rQLnAJaYKThx4rHIniJMhryMOuruY+zhzYt42pwJXWPTmISkMmSjX2a/59xv6BGjozPohK5e8/EuZMMAz4ZeoJHfiQLGanaBPgC59klO/soczM2+bMuFXIHr1kBSmTMgGBE/MxIFCJmTfArq5KPf1hp7cAMoELoEkc+JAs5qdoJAJ2ZWAEnE2BqJMHCCkAtcg/uMjSYypuFuX99J/vyFOxd0fnS+1VKzGWCqn4gCcCrvENMEJgEPEqSBuh155K9P91hnudg3gXPg10KROksiYDHkLMXSainAqnvKeE1+M6zl7jXg8ClAqcIlpghMAm4cz4cyOFJ6wKPKo+XJ1VIAT4ddAUAkTFmDmPMg7iD3cZBn0CVD54ebxrji4EzeAEoFLTJP5cHvTcCKIGdC1Nw1zt6vVVa6NCnAm/BoL35wkiZKK//Hnv/8l29229bD4v/+6/9Mje/aBP/KtWpH116G3ZBaMnL1WeTnYrvpsoi5bgMhGiWN/fPcLoMt3WCtbcvCEbBP3HHOV3ifAHXNp3GeG+O9ycCuVVlO9r8sNuM8BfFq61uBdzXW5stvvFqyWjrH//de//7e/5JvCstL2n6RMHrtkIfyVzS7mHpccGvsknl7WXa983P0Oeb1w1eN39WkMiPqV53DNs4bh0ciLA4dJcmBQe6tsYuBeZN9Q6SnApMAqhGjsGsRrXrKmv/UPvGrWCH/gA8jii4zbpcsuinoKmv4BOk5Je8c5q1B/f9cfgsqq6X9eA4pefkq3W6mOdzVFVKdfLVAtG+Pef9z7j/z3v/7n0lCyqAPIV0xbxzw6ZpSFQ1TfHn7frzZ4aTVJlgLPPLJPaTsA1WotDkhVdvvdgtXSMfYjDM39P6u319nfgOstoLb3Su6y+r/rwbj3Vg1Ubw8gguQg3EbXyEZi701eHPB6a1DbJ4y5E3uUB5E/7SMYuwbhqpOs6NTaayvef+nrCn/nbdbn/Fm7GKsfLlS5jika1yN889/lSKXmZc30v/EBZI1SRgkt3esxrQYdc1fdy3/dUVlJjnj/dVcdWwH8p3/bUs9rPvS3BdRWjZPJTNnb62S47NPBKOUH2G2wpmvW0DXJidn+lwUie9/LFeai9/0iutMoIAmwUOwaj1+9ZEHnT4tGfF+lrExdVVc0zT7n3q6b2fMHuU6zua+nP7D+XlfffY8d+P2+9p8I5c2uunYIRLYB2F9BOnIO/oZP+fbAOdUSDxoTft8Ro/SxGq5mfZ9/0s4X0Xhly5l1n7A34QmQPPpJfq55bHlt8JVg732ggAFb8bO/YPZrrtXFveQE9uGRMgbJAYKt7DQZpHPq7ve9ZUXfqY+9M6XR2RUWPVwYoDR/f4v+rJuhr3B+Ger7NTkP55FcczwKcEC4BgGYl38REZhkl/keyc9CD5E/uysl8ke7WyK3a8BlXgAcpr+/Zf5+x0PkhWvAWaEi2vJ+U3xlIHW9s8pMl265Lw00AR8Hyt5jZJmyIX/ZN2dTprrd/Htd/Jyz6e3355xMb2XVPL735Qx8CGhyLwh3dTc30FVtfRoMftXItWwQIjfdBj1nzP7NgIt9zknnx79sINKcXU0Xi99P7Cirpt0xJOBDgCXruBuW6EN3TBPrv2rk9odgIUHsNZPYayaxVyOx1xPEXk8Sa79r7FbWzJnEOpkCtyXruLt7EHv3IBa/nkCtbBByxK4bZjmPpd/nlNcECH/fzxEKzDr2DZo8pQ829aHEgetQaumqAan3inADIHRt7PJWQGbXyZ2ZoDNAw9HSFmwQswU3WfRiwRH4CDBZsHw80pwBpkUA4ERopTV+8w7BEdh0Fwtu70mYuTMTdAZoOFragg1ituB+tyg4AiuC/lzuQT4QIbkwjR/Aie+U1djNM8RGQKjum/7cU+59SCxMkBmgwWhpCzUIOWIHV9bfDEgEk/62fRauPTDBb4DGN+kva55dbACEarxB7LjI1TFAdEwNY7xBZpCwZY46o8wILO7RHq4XIzaTkZvRiM3MSmvk5h1SIyB0lWv1MumvqgaoKv1FrZyFGWRsqfO9WCibHzFDqmZsHDM3nhkbl5XWqI9viGRTqB6uy1NOcaN+DiaoDNBQHq6rQcbf507u4j9otPdd5lVJqdjcNMjWAAi5zg24eTgCjMHkRlv0ztBzy0FtrNdM6DVA9U6utFGOCu5cQ3+/kC26c9aWTc0ElgumBuZlIbdznf77r4xsvsb1WuxKnR3ZzmmIxdRm1B00/cPzxqdsLyXfx7zrKVE2fvkX0Iehtpe5FvCcB472ylc1U7axuh4H1p+r9LMVHl1zn3k3OAFwiHahCH0CtE+2JMeyq8nL5AcQPxafXeKa1EkSuXsCgPKA2UMuDvIJyN4aF1RyaFnpFI0CnAq/RjXBiQPzp4dMODMScb3yNEmJWLd6s3AiDsCJsEug25xEhSkP53np9xsKmZA9TSgRz16UpkQ8ukpNicA1plJ9uK0Pb18QZ0LfuCO/b5GZfuI+AGUClyB8c5IknrvX597T9u8tS2z79jUi+/65nomWgyx7njm1e+yzoBjQjy4I6vvDDHLSi963G0/HrWiChPvu9n6oFrv3oic5BuDkDmmA8GIKgsaTialTiZ6JiEg08oHrID9zWmaUyAEEA8gChhOTBB7PRIKEewwTrsXGOZbXHQNwcoc0QHgxBUHjucFv5VQuZCIhcs8tW7u7m/0BzCAeAiwWhzRe+FBBzoI8ZEiY6zTZWqyeM3ndLwDndkjjgxcVEBWeW2HZFq1wHhIid6jv3HufmZ8uO78Tj9sWChCN1j2oHidBGjK0iS9TrcWecyCvOwbg3A5pePCi4UeB51ZZ9kivnIaEyN2rfNJK1UreItK0HCICLBiHNGB3opKcB5nI0Oa+TbhmYp7TeD0TADwTDmmA8KIKosaTCbkh6iETEZFo5PNVqlhDHkW4LyIAmQBkmYATywR4PBMJEm65VZpcrJ2jeN0xACd3SAOEF1UQNZ5nCtnOb3AmEiK3v/JYT3VLdk17ChERYME4pAG7E5XkPMhEhoRbNnS/Q7FzDq87BuDkDmmA8KIKoka9C5cN0ikTGdl3xetRxv2IvXd8NyIGNBiCTsDk5Eginu430xHa3LKjeyx2/7zBsQFEDsgCNC+mIGj8r7xXID76IanX+XTZJ6A1lA9d9dz7PKDzXsH/3fUz5QZKXkaQw6Ouc+y5Qu+83/Nulvh5r3s/bYypU5XPanvLlO1FJH3PrHuyUH//5AKyhvDv/+2vt889iSSTZ3su24B2Vov2e5/7FMVjyu4pD0w5ZnOE3+VLXiqtpnqXyw8gB5M+8vspLafHPu5dTTmh8A2/a2xWOsb+D15zePt6tpB9GO2FZ4b0Ld+3y1HLe/HvzMLK6wTF7X3E6L2rkl5Qrz2R7B4A4E1rgu79Thp8yHrwLMSiwD72UgOxazx6dZLlnAWLV7aWecLf9gD6YsErp4zsoz/3fLhlv9nCxCub3Trw1rMGaKXVpL+tAo+6O6Vlw+ZGf9tjivfDbr9bsFo6xh7fcnh7y8IOIDsD78L3UdKjsG7C5Hvv4r/X0rm0miRMgWsDVrq0KKyZMGW33y1YLR1j/0dvOez3vWXHL662BsnxsushaaV1b2rxb/t/SqUapQCdy4tr6qPjg3kBQFUX0MpTpwOAX3mmK4Pr7gH2H1mjsWtcgnrJmtJi26uTzvS3VuC9zx93HvO6+W+t5q7EkwBh8bLH8L+zmO2qp3GccqJpUB065la2ee13jcpKx6j/wdsOuyetb/wbA1rjTet/9lcRu0eQ7pT/xMfeNXyGK3YgjVw44H9gg5q0QbnGnIj4dZtHVekAkgYLxa5BsOYlCzp/4Ee2snz+PPIO6J4DTMBHAJlWNOCRjyjL+uesXLrZzljhwF5sQ+mzjArvRVcGEyB0VR7qvEBlZzVSVQ5EyyFMliH3F8+z+zKSGoGPAI2lyuI3McA0fgAnOiutkZt3SI2A0MmWO1TgaeTsGKA6pgai5SzMIGNLfa/CQtn8iBlSJV9BPu4dpnEDOJFZaY36+IZINjfVSZFJnCdFJtJMyDRAQ9HSFijJODJ7CzLJFO4e0iRvE7BMMyHTAJXZwx/n+HaZZG6qh2W+ew3UXZkJKgM0FC1tgZKMLVM+ChwsNAKLv9SQqMINo8RGU7hBWTmN2/xCZgSEqHAdfsp7kmTuzASZARpK4ZqaZGyp9R5RagRWBPIZIEmt3DBqbDSVG5SV08jNL6RGQIjucPnNQmGCygAN5OYQg4Qjc3DV/M2AsO91T/cRG0bNDafGhmWlLfrBdfnvvxIgdKPx5Q/3azBBZoAGM6iVRSFbbGt3FBuBjwCV60WLzaPl5tNi87LSGr15h9gICF0NHXWrheXCBJ0BGk4Ng0QUswX3l6vobwY+AnQW3GMz6bkZ9djMrLTGb94hOAJC93DdfmTDSerpYILOAA3n4fqbxGzBsmdkEByBjwDkYcTGMnJjGrGxnbIau3mG2AiI2Bk67j57EGsmxBqgYmcYNKKQI7bXeBsRARE7LvIQG8vIjWnExnbKmthe4y1EBISqc91+RqN2oQaIGrUpK2dBBglb5iw9yozAntq4uF7M2ExmbkYzNjMrrZGbd0iNgNCV0IHPcpGzY4DqmBpICQNGlCFS3+vmISeYMmGzXyMwYG8v4/XFTeV2YEeG0idq9W0ig7nnhrguL/Oifs5NUBmgodxcV4OMI3NeQSaZwr0fpLx0aBZugjs0K5S2yOcVZJIpVINr8Su7PrJMM0FlgIYyuK4GGVumvCoQ/p4R+Py1Xx6gRN3UMMww7psaFMpp3OYXMiMgRJXr8DJf6tfcBJkBGkrlmppkbKnP+0SpEfgI0FjqQw3DDGN/qEGhnEZufiE1AkL0UC2XYwNIKExQGaCBPNS+ooQtU5bi+QYiAR8BQqre2DDe3HDe2LCstEZv3iE2ApvuIrGzUb/mJsQaoMFcFwUahByxvSaxARD2PoPY2Dze3Hze2LystIlV7y42AJuOa/X7hud7N0EX5gdQ2oINYrZgeQrgm4cErAjWU4p7KLGRlNyISmxkp6zGbp4hNgJCVUJ3Lc8v1MvBBJkBGkwJQ0UUssXKs0AQG4GPzO/R37bGhlJzQ6qxoZ2yGrt5htgICNUdOu0anvPdBFmYJ0BpCzUIOWLHDLcQCZAIZkhYjU2l5qZUY1Oz0hb/mOEWIgFCN2oQPFjuiGIHSx01SA0yttSWptES8BGAp9He1sL4CtP4AZzoWphGg3dIbWka7W01dOCNnvrNABXNFqAcwszTaO+6/2ehbH7EDKnqsYH03IB6bGBWWqM+viGSTaF6uD4vs3A/BxNUBmgoD9fXIGPL3JuLsNAIfATgaTTZa8S9q2Hcap7IRphAg1/IjIAInaHL7uFZ300IDXMFKG1hXl/jq+weEqUGQKT2kKzBjWPEhjO4UVk5k9pLkhqATcT1+B2tc/8GE2QGaCj9DlKDjC1VdgcJo2sEVgQzTKXt3UIomTAtAgAnwhkm1OAdgiMgdIXkzjeMrTBB9oax9ZS1QEseWXUDEBebgM8CHk7Y2RAE/t1Ufgd2fCh9ood3E5sAoaMptSJPL4Wc3XF23QENhqbUkpAjdsSRNQHCPt8gdvLY6ib4J4+tKG3Rjzi6JkDoBtftZfLo6iboBo+uKG3Bjjy6FnkeCIIj8BGAUnaHpuKm8d+hqWlZjd08Q2wEhCpMqRV5kiGxMEFWeS4epRHqlcU+bxxfE/ARwCvEMrihuGn8T2hoWlZjN88QGwGherheL5NdPZHo4TAerrVJwpYpzwNBZgQ+AoRUvbGRvLkRvbGRWWmN3LxDagREaphMWyZVETUgdVL1esI0WpJxpPZQedkUmX0EmbFxvLnxvLFxWWmT2UPlZXNTcV0u65aH+ziYoGo8uqK0BdpTxV3PACyTzY+YIU0lNouSm02JzcpKa+THN2Syual4+qyslLFMmKB6eQ4epS3QknrfGqbQgrm45XVpklnDFJqbxl3DFBpKa+Q1TKEFU6ju0E3X8KTvJqjCTAFKW6BpCq3st5+D0BGXp8p+H5o8cKOoscFUbkxWzuIecXkqAUIUJtGKbObB7kacU3dAQwmTaEnGltrSNFoCPgLwNNoyKZEtTKOZeWJrYRoNfiG1pWm0sp5J6PLwfO8mqML8gJZFiHkKrchWMaGFRuAjQEhVjw2j54bTY8Oy0hq9eYfYCAgdTaQVeWah7hsmyB6ec9eyCDQvTJWRJtIS8BGAJ9LKiM1j5OYzYvMaYSIN3iF2pIm0st+iJrnh+d5NyA3zAyhtwX5NphV5AgjDTAREcGcPsZGM3IhGbGSnrIntcWEqAZuK63UZ4QnfTZCFGQKUtlB7XpgqM02kJWBFMGkirex9EN0/TOMHcOKbNJEGzxA700RamSV02jM857sJsjBPgNIW6tdEWpUnAL5TSsBnAQ8nrF6hqbipETiwI0TpEz+8m+AECF2YTFvmRc7CbICZGkiYRksyjtQ0jZYA4Q7TaFWeXB5imHF8dUCjC9No8O5S0zRalWeTwgXY2YhUgwMZXGeTjC113fmzUDY/YoZU3aGBuGncd2hgKK1RH98QyaZQhemzeoenfDdBFWYJUBqBxiWq+rxxbE3ARwB+ml8meVfDuNU8kT1hAg1+ITMCQvRwPV4mP+G7CbIwQ4DSCDOPr/VN02gJ+AgQkvVy43hjw3m5UVk5jfxN02gJEKlhGq0+4fneTUgN8wMobWF+TaPVt8fRNQEiNUyj1Xfw6Oom5A4eXVHaBPc4uiZg0110eeOx1U2QNR5btawF2vPIWkuaSEvAR4CQsBKbSMlNqMQmZqU1+pIm0hKw6fjy8HzvJsjC/ICWtUC/JtJqvePImoDFXsNEWq0P34S6afwATnw1TKTBO8RGQOju0GXXi0dXN0F38eiK0hbs/TW61jSZlgCJYLLc2FRqbko1NrVT1mJPE2kJEKowkVZreNZ3E2RhrgClLdSvibTa9E2UeYv/3wx8BDjxH2CZ8uvYnymY8Z730c28JJhqb471vQEb/Hbd5jEBQqQvp1iBcqqJuTMTZAYMvfyURpgsY0vtd7wfTsBHAEpWf/h+2E1LNYDzp+j0KA7P+LtGQKgunr5YZhiuYYLsCsO9lbZQ73w/XPu+Pe+6YVYwhV3v5c9Xbcs8jaC/Jxh9IO76NUntUxv4OJfTWydVtofZodwmNQCbbPc2XS/XObnzV+tdZ/RQ2m7ti/6u/dE8pUnGljlKJyG/GVjsY9+6nyJqtL29xro0PvfXUfRh99bfQwUYb7z4DQP5l6kyqpZV88gY+rJ81y/YFtXJyvkYaJnUcKKirXrecUI4AR8BQsOfd+jyYVr1AnCqn5XWymneUZsjIHTxdmRe7OyKVBcHEm9/oowjdUShI8oMa9PLDF09THCPMFTMsCKuvl3kiBLjDcjs4V4RJqh6uFec8eaHZeyTrK/KPVMwP2Ly3Hm7Gnfybiq3Azs2lD6Rq2+TGUyhCrce7So8IewmqApPCKO0BVpjr9TuJy62JuAjACeq3S8JVcO41TyR3WE9HH4hMwKbiOtwu29eAXITZDevIKG0hfnkxdZ2z5akzvjdQnvCBx7L9IZhhrE/1KBQziKfLUmdLUmdLHTMIHTMJHTMIHSyzJm/WWhPi8usCRCZYV26PaFhuAmpoWGhtEZv3iE2AkJHa3fL4BUgN0HWeAVJy1qgLS+ztveNXy4kYLG/4SOP9ha+N3TT+AGc+N7wgQm8Q2wEhI7W7pbBc1ZuguzlOS8ta4G++cuFVu64xJqAjwCUrhIbSMkNqMQGVmg1HJ4hNAJCFdbulslrQW6C7OK1JJRGqHmJtZURR9QESAT0occyeDx1E/yDx1Mta7GPOJomQKjCCl4rvQaxvSaxvQaxYfUwCdlia40LrQn4CBASVmMzqbkZ1djMrLTGb94hOAJCF9bylkkVRQ1QFapkVs7CrHmhtbUnVOH2xK8VFhCS1WITabkJtdjEWvi0BN4h9LBD5uq5ueNuN/VzaoDopj7SylmQT6q8bYZOiU1hDavRrcem0XPT6bFptbAGrr5d4AzdUQvreK0NXg1yEyIHryahtMmcqUPqLYynbC7uHj7qaD02ip4bTY+NqodPSdQ3ZLIpVC10073xTJWboGo804XSFmhLI+p44zJrAhb/COvRy6QmMWJzGdyURlgFh1/IjIAQhfW7ZfITr5sge/mBCaUtzDcvs7Z5x6ngBHwE4CfbZVIiZ2wyk5vTDM/b8AupERCii/788+IZKjdBdfEMl5ZFiHkauM0Rl1kTIOyjBZmxYczccGZsWFbaoh9xmTUBQkdrd212XvtxE2Sd1460LALNy6z9qnEiOAFy2E34tKNfoXm4qfwO7PhQ+kQP7yY2AUJXuFb3q/BUsJugKzwVjNIWbM2Twf1+4rRSAvbxRPxU1O/QTNy0CO7QzFBa4zfvEByBTcd1u983Ty25Cbqbp5ZQ2oJ98tRSv2dLgmecEO4PfeaxDG4sbhr/ExqblrXYZ0tiZ0tiJ9ftfocnfDchNswQoLSJnXkyuD8tLrUmQMSGten+hObiJuSG5obSGr95h+AICF3j+r3Mi5y1K1C1iwJpXHOTjC31feNSawIW9xs+8VhmaCpvbkpvbGpv+LwE3iE1AkL3cs1eJv1l3zAXYKYG8nKdTTK21HLzUmswP2KGVJXYQEpuQCU2sBLWwtU3RLIpVGHibJm8DuQmqC5eR0JpBHolmWHyLJjCHSbPlhmaRslNp8SmVcLkmfp2mWHyrJceOu0SnvHdBFWYI0BpBJr+mrXGZdYEfAQIiarcMGpsNJUblJXTuM0vZEZAiML02TL5+d5NkIX5AZS2MGteZu0tTaAl4CMAT6Ctm036m7bYaBo3qBYm0OAXUluaQFsAddQtPN27CaowO6BlLcSvybPeZlxgTYCwhxXp3mPD6Lnh9NiwWlgNh3cXO+MC6wL48vB07ybEhtkBLWtiZ15g7T1NoSVgsfcwhbbMMKLChNgeRtQeptDgHWJ7mkJbQOioe3i6dxN0YXYApS3Yr2m0Pt64wJqAFcF6UnEPIzaSkRvRiI3slNXYzTPERkCoXq7Xfbw8d+4myF6ee0dpC/XNC6x9XmlUjcCKYNI02jLCmArT+AGc+CZNo8EzxEZAqK7Qac/wrO8myMJcAUpbqNfXuDrTNFoCJIKwIt1nbCozN6UZm9oMq+Hw7oLTVFqfvQfBnZ31SNU5kN6D1K9JtHFVFhrMj5g8gTbkRC9PpJvK7cCODKVP1OrbRAZTqArX6GXy2OomqAqPrSiNQJPMO0ygBfMjJqdp3KFxuGncd2hcKK2R3w+31GBuKp48G/fNC1NugurmhSmUtkDTFNq4ZxxXEyD8YRptPBcJVcO41dTIwgQa/LrMGcfVcU+uw+MePLK6CaGDR1aUNqEzj63jaXFhKgErgid81rHMQlJDozHzxPaEj0ngF1IjIERhIm08lZem3ARZ5aUplLYwW16cGu8bR9YErAjeMJW2zNA43tx43ti43jChBu8QHAGhe8PlPK66CbKXx1Uta4G+eVQd5YqLUwlY7CV84LHM0ERKbkIlNrESPi6Bd4iNgNBdXLOHPLuQXJigu3juHaUt2CsvUI0y4gJVAiSC8KHHMkNTKbkpldjUSvjIBN5d8IiLVKP00G2XzqOrm6DrPLqiNILNi1Sj1ri1VgI+AlAXVWNzqbk51djcKn1oAs8QGwGhCtNqoxaeT3cTZIXn41EaoeZttUZ74iJVAj4CkIcWG0vLjanFxtboQxN4htgICNUdOvF2U97UANFNObdyFuSTF6hGmzXJnDXJDB96jB6bSc/NqMdm1sJHJvDuUgOw6e4gdVAXoAakDuo+WphKSzK21N5C98Tm4u1hGm302Dh6bjw9Nq4eptHUN0SyKVQtdNu98my6m6CqPBuP0hZoS90Svwn2G83FPcLHHWPEZjFysxmxWY3wYYn6hkw2hSpMny2T59HdBNXL8/AobYG+aWydYQotmB8xeQptmTyF5qZxzzCFhtIa+QxTaMEUqit00zM86bsJqjBTgNII9EoyR1yiSoDwhw87xuRGMWODmdyYZviQBH5d5ohLVGOGSbRl8lO+myALswQojTDzMtXKRJxGS8BHAJ5Gm1doGG5qBA7sCFH6xA/vJjgBQlcGXR6e8t0EWZgl0LIINE+kzfuJy1QJ+AjACVtVkpuHm8Z/h+aF0hq9eYfYCGy6iy4PT/lugizMEmhZC/TJS1Tz1sfX8yr1bwaEffDb1fPWx245wELMebSN57wQPG/dYvWUX+bJ/XljdZmnb7bXWxMgdOrwvA+76HbA5/xdC8XePl7AhbLz1rdbjCoIUbFNtqvu9ncl82NmvY+z867bUwvHreaOe9+S2e/64p2VNvP4XpdH4EOA/hnVXbGsHbpy2V9Vw7HfT+RalmS4zPce+Iu6aTLf59a/5vb7nmMNjFdNl2m/a9RW2szj22U6GYDCMmXn7Ivo7ttqg4Zjv5/Ii8sEFWSew5N/owmZ8w0yZ+P0qkky9XeLWkubiWObI0Ayh6XxuBuaZKXDsdEWjv1+Iq9e4UFlMku7WWaxN+jNtBRtv8Way+FV02Xa7xq1lYZ5R5lOZkC1NB539WWZarpM/L5DtbIkw2XKyQfDZar5gWkp2n7rO7kWqeky7XeN2krDtL9GBFymnChBMusTugI1XSZ+36FaWZLhMts5cfs3mh+YnWW2a3J6G87j1rjsd43aSsO0jjkCJHNaGo/MGboCNUnmpHqKsiSDZJ5T1H+jCZndUnRkxsbSvLGozBH6HCsNsySZIDOgWRqPu9ZZppouE7/vUK0syXCZ/RxA8xvND8zJA0q3cfvwquky7XeN2krDrHFAcTIAN8uUXReoK1DTZeL3Eyr1R6AymeNuPKCoaTLHE8bN8bycXjVdpv2uUVtpM+8WBxQnAxDGTTnhjroCNV0mfj+R07gJKsgcYdxUEzJnGDdHbCxjpnHTfreoZ6jD6ptkjjRuygF2NKDIPgssc6RxE7+fyF+vwaAymbOGcVNNkznbwwPKbGHcVNNl2u8atZU2s6Zx08kAhHFTzqajrkBNl4nfT+TUH4FKZb7XM2lAMfNj5svj5jI7pddMyMTvJ2qUNvOZYUAhMgCdZC6Tx00zIdN/P5F7f+RUJvO+eNw08wOTx81lcmMx02Xa7xq1lYYZx00iM5mTx81l8rhpJsmcPm56WZJBMjuPm2ZCZu9BZudx00yS2XncRGmYcdwkMgMaj5uvfM9XiK7FcdN/36E274+cymQ+hcdNMz8wedx8n9BYzHSZ9rtGbaVhxnGTyADcLPN5edw002Xi9xOq90dOZTLfm8dNMz8wedx834fHTTNdpv2uUVtpmHHcJDIAPG6+78XjppkuE7+fUL0/cqp/dJ76fryv9c+/7Q89n/vPv4D2IVCvHEsOaD/393sD90+dDKwbmCnHWTFUft76h7y066e/f4jpAH//9QUJ+bojWB652PPzTnbsAMgBWYDwYhKSzHMm1bohuFtIR4b2QVFFDmlzX8+67X4fYnMAERF0onYvqsuZkI4MCfndf9YfkIrdhb2qBdpjW1wojMijupOFdb/AV/1+QxKIHGLX2NfqRHtgA+DhOKTxwovJAZNnIUFCPkIKZOIy5NYBMAOy6EZIRBJ4DrRq7z5inRKRITltat2GdK5asgnhW4nKAYRD0AnZvagoZ0IiMiTksmR2c7HV7K6XHTsAckAWILyYhCTzHHz1vuGq329IzqR6eyi6OuDL8nPYHEBEBJ2o3YvqciakI0Ob/DKxWuxpcpYjOXYA5IAsQHgxCUnmOTVKJuqfkI4MyVFOl0wPuivZ7eMdROYAAiLoBA0nqsp5kIwMberLpGoyVuu7GifDASQDkMUHL6YgiTzJkG0RSkxGgva5Vtc+nt597dMQiMxszwUQTQVcWC5A47lIkDCvu52L+xk517EExw6AG5CFBy8Wf9J4TtiSjT/ioJqhfezVJQcXu6+9PQkPqg4gIoJO1O5FdTkT0pEhIZf3REYotg9tJscOgByQBQgvJiHJPOdvyZu2PaQjQ/tQrGcfVQ9fe4N47qQcQEQEnajdi+pyJqQjQ0J+FxNrxa6fynkmAOSALEB4MQlJ5kmHvLUeR9cM7WOzVrXnmrY3W+TR1QGPyCGNGl5MF5g8HQkS8jVW1jsUe35uHmAJADkgCxBeTEKSec7vWkNPrBwJkWO1ZItSHmGHvFnFnZQDiIegE7N7UVUgQi4SItRrqLyfUOj5qZxjAkANyMKDFxMQNZ4jvt57H09PqciQnLsl7/dyJdu70PPw6gACIugE7V5UljMhGRkS8jVSVm5eczXAm4dXAkAOyAKEF0iIMs/5WOsxvL+cji9IDq+6WqhkCxiWn81GgEXE0I6avBxdxGTp+IIkHWusvHmAXQ9XPzXk2QGkA5ClA14gIco86ejvz1tiOhIk6ejtZz7sa8hJx5QNsz0ZQDQXcGG5AI3nIkHCvMbK2rnYan/3YMcOgBuQhQcvFn/SeM4UK+9PD49pX5Ac97UGIy66HpEvS85hcwAREXSidi+qy5mQjgxt8svEarG3/TT2CxvUhlh0cGHxJ43n0LH14P+GDvQLkvPA7vEzuY6tJ799/jTYHEBABJ2Y3YuKcibkIkOb/PppXEpmMW726wC4AVl85sQEJJEnGaP+9BmTkSCJZ41DXPRdPZJlR8kAeEAOadDwYrLA5MlI0CZ/TKsW60OOCCfHDoAckAUILyYhyTyHl8kWZyEbCZHzxFYYk2vZu8KoXA8dQDwEnZjdi6oCEXKREKGWRac3FLp+nsJuHQA1IAsPXkxA1HhONXu6zJVxKjIkx42tcYg7jLJGycndkwOIh6ATM5yoKOdBKjIk1GuQfGKxa587734dADcgiw9eTEESeZIx50+JI2uG5HSu6/25uIrVK/ZPsBGPIydkd2GiQOO5SJDkQqbmWyi2anvnXDiAXACyXMCL5SJpPIeiyRpreFb7giQXaxTiogvolhxNBgDPhkOaDnhRXc6EdGRIyGWZq4diq8bz7QsBIAdkAcKLSUgyz8FpZVXeOLJmSE4zK/Xn4momz32F+ycHEBFBJ2r3orqcCenIkJDLMDm52GqBwS9sUBti0cEF4o8az8lqMr8eHtS+IDkNTCbeuZp1WQPgDsoBBETQidm9qChnQi4yJORrlOQK1a/y0/nuhQBwA7L4zAkERJEnGWvAiV1GQiSasSo8DyXywFe4y3DAw3FIQ4YXE2VEnomICPUaIDvftMo2ni/XCgJADcjCgxcICBrP8Wz1/ZnhMe0LkpPTZBDiKjbkpSPunxxAQASdoN2LynImJCNDm/wyrVqstJ/ONy8EgByQBQgvJiHJPEe4rSHnjTUjQ3Ku2jN/eCyRJ77C3ZMDCIigEzScqCrnQTIytKkvk6rF7v5zc5YJADcgiw9eTEESeZIx68+Md1wZkojWQFSpmpVrjZM0mLht8RCiIcOFiQKN5yJBm3nVZ+5m5GvWzncvBCAXgCwX8GK5SBrPCXBrwHnDUPIFybFsyycvLRZ54KsPJwOAZ8OhHTV5ObqIydLxBQn5GiT74GL7q1fyCxvUhlh0cGHxJ43ncLi3h9XH329ITm1boxAvSRZZtOT1OwIQEEEnZveiopwJuciQkMsYOUOx62fc7NgBkAOyAOHFJCSZ5/g4GXHCY9oXJIed3W9YYCzyyFephyIAERF0onYvqsuZkI4MCbl87HeHYvfP87JjB0AOyAKEF5OQZJ50jCvmgm2JZbxhbXIB3TKjPAA8Foc0XngxRYfGs8C20K7hsTxcoD8/g6saAaAFZKHBC4K/kn55pCvh4ewLkoPhav1hP/KYV6lbIgDREHQihhOV5DxIQ4aEWvYULlxMtkXl5BIAbkAWH7xAQRR5Tqh7nrD2+PsNyfFxctI0V6wiYyMNqAQgIoJO1O5FdTkT0pEhIZe9ubmHKbI7d2fHDoAckAUIL5AQZZ50zDetK35BEtHs1vCOL1m05LoBG/E4oiHDhYkCjeciQcIsG991LiZb3wXHDiAXgCwX8GK5SBrPcXfL4xVH1AzJSXSyvQlXsyq7rfCY5YBnw6ETtXtRXc6EdGRok19hXbHIfkVc5dwGtSEWHVxY/EnjOQ9PTtYJD2dfkBxVJxttcR2TFcvQPTmAgAg6MbsXFeVMyEWGNvn1wwOq7GcU7loIADcgi8+cmIAk8pyad7Ww8Pj7DcnpbvLBOleyfqceygEERNAJ2r2oLGdCMjK0yZ+wwlLkM+DJ4ykByAYgCxBeTEKSedLRu72dhnQkSCKSD7W4nsl6ZeihHPB0jNTTuRdLB5g8HQkS8jVMzjcUu8KyIgMgB2QBwotJSDLPqXtlhMXH329IjsOrN69ILnv9y+3SAQRE0AkaTlSV8yAZGRLqUsKqYpHDJyZXOgLADcjigxdTkESeU/numVYVvyA5Lu957YW+42uukZKrBmzE48gJ2V2oKKdBLjIkzGuYnC0Ue8KSIgPgBmThwYvFnzSeXMwrLDz+fkMS0RqKuOgCuq3WKhsAj8ghjRpeTBeYPB0JEvI1UvKq4gJWlecqRwDIAVmA8AIJUeY52K/daVXxC5LT9lq1l/s2tIBu+dlsBFhEDO2oycvRRUyWji9IyGWsnFxMPgRlv7BBbYhFBxeI//5aVaz3+4S1x99vSI7lW4MRv/m4gGlLrofNAQRE0InZvagoZ0IuMiTka6hsXOrZnwaTXwfADcjiMycQEEWe8wHlC7OQi4TIaXZXt9f6jqdnjZOdE+8AwiHohOxeVBSIkImESCLO13CUidns3k0z4QAyAcgyAS8QEDSeTMiRP3dMRYIkFzIKcRV71iDJ7zwS4LlwSHMBL5YLMHkyErTJr7CoWGVf2auyYwdADsgChBeTkGSeIwbl24IwmHxBcu5fmbyqWF8ZJKl7IgABEXSChhNV5TxIRoY29W1StZh8J9HZrwPgBmTxwYspSCLPEYTySVsYTb4gORfwnmFBshb5JI9GEwIQEUEnaveiupwJ6cjQJn/CwmKVPZwurnQEgByQBQgvJiHJPOlYY06LvUaGJKJ5h7ceqzz48VuPBHhEDmnU8GK6wOTpSJCQjzestNTSJ78KRDaoDbHo4MLiTxrP+YV1hLXH329IDhZcAxEvSC6ghlceCUBABJ2Y3YuKcibkIkNCLsPkDMXun5vrHAEgB2QBwotJSDLPCYfPdUZA6WLXbdrvNySHD66xajtXaAH95H7uAZTsKqtWcgAhkDWKyQWvvss09nvMzqLA3399QUK8qvMZlayYTKEO8us2mA2S75pq/eNOPPqo8GRC5iTDg+sXJAHJVCZXsrZu38LY6gD+NgSdv5970b+wM6FiZEjIZXsP7mqaTGhy6yMA5IAsQHgxCUnmOSJRZgj3H1B2HNkVI0NyeqFMG27nq61d/c8Cqo5N8nTaBOjqfN0JlyoR9Tr1NZVxydJzlT2kwiDd92Y4YssL97sIA5v4sVRMSWWVz8T1dZNLBu8qX29r6zcnMgt6GsCeB16AvYUrT84SSFJ4TlFc1ef0K0fj7zckZxrKFGLzogRIvl8Bemp/C3qtjUqMy75iIx7yMugbyyTo8x9AeI2sy1eBBKjWcVVrbfsvtV0PXVRd9fPZ8TynEWvry7pPflY/HFddvyAJSB6EuNYNmXjkWw8HUHcJOvXbvWgLcCY0nAwJecc7YlbsCeuuDIAckAUILyYhyTxnMq6K2OO9R4bkwMT6hqILaLagfdgcQEQEnajdi+pyJqQjQ0K+qvndQ7HH+hp17ADIAVmA8GISksxzduNzp6XXL0gOVnxKeCd0AXHykQCLiKEdNXk5uojJ0vEFCfmq1dzTLqD8BL+wQW2IRQcXiP/+Wnpt17o36iPmIkESzhrJuGiTL8JnYTYAHpBDGjO8mCgweS4SJOSySwKXGvuTZfLrALgBWXzmBAKiyHMEpGzBFXKREDmbsbWwYtukc+cXQglAOASdkN2LigIRMpEQoT5n8FIh2bbnZbcOgBqQhQcvJiBqPKdEvm9Ymf39huToxvUoxMu1TXbCmtQ/EYCACDpBuxeV5UxIRoY2+RVWpNrzrHvryo4dADkgCxBeTEKSec6RlN0WwnjyBcnhjjzV3uT7c/7GmgCEQ9AJ+eV1AeJAIjK0ae+w/NrkK2JelGAAiQBk0cGLxZ8EnkSs/x+xiWRIIuozrNy2d7zhfVACPBcOaS7gxdIBJk9Hgjb5Y2K1WBu29qSOHQA5IAsQXkxCknlOoVzjzRNHkgzJ8ZCy/xynVvbe4o+tCUBEBJ2o3YvqciakI0NCvu4w+bXIJt8S86oEAyAHZAHCi0lIMs85let2coQH2S9IDo9c4xCvbC+ghu+tCUBEBJ2o3YvqciakI0NCLqPkDMWusA8DAyAHZAHCi0lIMk86ZMyZMR3yOmccW+t87c1H9ZXmHgnwiNIcJnkxXWDydCAeT8caJ3ntrcn3xLwPAwMgB2QBwotJSMrPqZfyjBWykRA5kFLGIk6s7PjF31sTgHgIOjG7F1UFIuQiIUK9BkpekVrAEzZjYADUgCw8eDEBUeM5GPO9wxuOv9+QnFr5Vn4ptMmuYKGPcgDxEHRihhMV5TxIRYaEeg2TvPlGky+JeT8GBsANyOKDFyiIIs/xmWvgmXFszZCcbLlGI17abnvzMO6iHEBEBJ2o3YvqciakI0OSjjVY8nLUAkrYj4EBpAOQpQNeICHKPOmQlzdrTEeCJB3rEZoXb9sYqYtywNMxUlfnXiwdYPJ0JEjI12DJK1JNviUOtzEEgByQBQgvJiHJPEdxroEnvhr6Bcn5mGXEmiabkd08pDiAiAg6UbsX1eVMSEeGNvkVVqXafBu/O0U2qA2x6ODC4k8az0md8vJmeFb7guT4zHuG90L79cQ+igALiKEdM3k5oojJcvEFbfKLd+Lo8ikxL00wAG5AFp85MQFJ5EnGqGGh9vcbknhkmrOzr/mGd0MJ8IAc0qDhxWSByZORICGX6cWbi51pN3LsAMgBWYDwYhKSzHPGZ+1xETYjcvRmu8PWM13C4C6KAMRD0InZvagqECEXCRFqmRt9Q6ErLEwwAGpAFh68mICo8RwA+oywUvv7DcmpnHJmK2f1kYGS2iQBCIigE7R7UVnOhGRkSMjljNYail1hMwYGQA7IAoQXk5BknnTIcUYlpiNBcnKnHBxGRRcQeii3EY8jJ2R3YaJA47lIkORilrAHR5cviUtIsgPIBSDLBbxYLpLGc2Bqv8JK7e83JLno8eXSBXRdQLBkAPBsOKTp6PFlWGJCOjIk5GuY5F04FvCEzRgYADkgCxBeICHKPKeNyuEUYWz9guQoUDnRgqtZKamHcgAREXSidi+qy5mQjgwJuQyU3NnI98S88wwDIAdkAcILJNxfO8902VYqvib6BcmBoXcNK7gLwEu0h80BRETQidq9qC5nQjoyJORrqOQk1quEt0QZADcgi8+cQMDz9ZJor+ON+85kRKI5SzLkaaYuygEPZ6auzr2YKCPyTEREqNcoyYsuC2jhBVEGQA3IwoMXExA1nqNNa0nvh35Bct6ojERcxVrD+7OHzAEERNAJ2r2oLGdCMjK0yS/biUKLlRZ2Y2AA5IAsQHgxCUnmOfxUXuQMj2tfkJxI+sywZU2XRz++04CNeBw5IbsLFeU0yEWGNvMVFlx6v0eYe2cA3IAsPHix+JPGk4vZ7AM05CJBEtGML5f2sUZKfkOUAEREkEY948uwxOTpSNAmf8Ibor2PETZkYADpAGTpgBdLR5J5joldo06NN6EZkvNbl0/ed6bLcx9/cU2Ap8OhE7V7UV3OhHRkSMjXSMkbcSzg4jdEyQa1IRYdXFj8SeM5WPUdYSXy9xuS005LfLl0ATV8c00AAiLoxOxeVJQzIRcZEvK3/MRSd5iAZwDcgCw+c2ICkshz9KqMOGFk/YLkXNT7DfvODHnu40+uCbCAGNpBk5cji5gsGV+QkF817MUxZJcpfo+FAZADsgDhxSQkmScdcvjNHdORIIlIxqLJvtZA+XZmA+AROaRRw4vpApOnI0FCfo7roWJynE/IswMgB2QBwgskRJnnKNd6hat+vyE5ZVV2lCdX8ujHr4kSgIAIOkHDiapyHiQjQ0Jdelh5GbLTFG/KwAC4AVl88AIFUeQ57PV5whY1v9+QnMO6RiNepFyAvUR7yGAjHkdOyO5CRTkNcpEhYV4jZatcbDVAfkeUAXADsvDgBfFHjScX80nviH5BEtHsYZ1yyKPfeJgNgEfkkEYNL6ZrPukd0S9IyOVIIO5tZKMpfj2IAZADsgDhBRKer9dEh+wqFV8T/YLkxNpFw6+JjrenTsoBRETQidq9qC5nQjoyJOR1hoWXIV8Y3+wXNqgNsejgwuJPGs9RsjLshKnQL0jOd31n2HxmyHPf4B7KAQRE0InZvagoZ0IuMrTJb155GbLXFL8axAC4AVl85sQEJJHnmNmrpXXGL0jOf5UTiajoqHfqoRxAQASdoN2LynImJCNDm/wJG9AM2W2KJ98ZQDYAWYDwYhKSzJOO3tL3jV+QRDTuWM/k2Y+/byTA0+GQpgNeLB1g8nQkSMjXSMk36kN2m+J9GRgAOSALEF5MQpJ5DqwtI70L+QXJKbL1DpvXLCB1Ug4gIoJO1O5FdTkT0pEhIS8lvA84ZMMpfheSAZADsgDhxSQkmedQ2zsuFf1+Q3Li7POGlcohz3/8LiQBiIigE7V7UV3OhHRkSMjvuOn/kC2neJ8GBkAOyAK84wEEXzJPOuaV3oX8giSi+YYdbBaQOioHPKKZOjz3YrrA5OlIkJCPuPX/At6f4Bc2qA2x6EY8g+BL4zkIuN1prfELklN6Ww3LlAtI3ZQDCIigE7N7UVHOhFxkSMhr3Pd/ASVsQ8MAyAFZgDWeQfAl85yk+z5pG5ovSA65fePJIQtI3ZQDiIigE7V7UV3OhHRkSMifEW9i5TNjfiOSAZADsgDhBRKer21o5nWFXiPacvjtFQ8PWcAML0MSYLEwtOMlL0eR0VgWoi0pWIMkL7ssoIX9GRhACgBZCuAFwZesv5e0Dc0XJFnoIQUjdkoEeApG7NzMhekHh6cgQZv2Cu8BTvmkmGfcGQAzIIsOXiz+JPAckyQTlbu67O99fr8QOSxp3acdYH8CtGzbwWRlfq74ZBuq8/6c7Hd9DjEqtlv/9rJsO4bkfOow5ZGyhc8jviChhufzVcWUjZMLfdviwdnnL/ss5EqfyMxbJl8f5o4SNRHq+Kl704vfb+jDUHvlZm3Kxs37da2n7W8HXIQCW1c/9RHX1PNOAJyYfXikSEQ+jBT5s5LT+sjjDhEfYBNbcHaNK1IvSWJMxfvu5Y3fb+gToP2Vj7O9q35ckyJSgFOBa1QWnMC+rFZEhFLxPnsbH3L67KNbiPgAnApcg/DNS5IYU1HW3fqqbr/f0CdATVqGs8kHpQ/XdgU4FbhGZcEJ7M1DqSBmS8Uc50w0pELWkDkT2w6J0Csg21wkfSkP0om8MQ8HCnnoQybPKA9jr1FSHg4Q8mDXmEpzArtYvY4I5aG0qTXAnLZ9d0DEB+BM4BqEb16SxJiKKh/APSEVCn0CNE/HZWy1PqdXsogU4FTgGpUFJ7CrnU0XkQ8jXB/qam8vVwgFOA+4xmN//nyJi0mQbz9HyMFBOAXtueUTcidqTzl9twWjAKcA16gcODF701AGnBfA/ynt230/WZ6rhLGxvViWbAQRiAsku0h3mX5Nz6RIJGSGXwZEi4yD2QAn/Pt0PU7V6fku3IfvBvdbp7ur6lTPoz8zPVX6nSqpXCfa4IPQAY5B9Ek6rmXn94qCVDvZo6DIFoW7Wgm/MGUVXMgdA7YooA84QQlkNcNRCLsBdHmITirXaXbz8efAFgX0STquZee3R2GeuvHv+0fo2SA+G+Y5regivHGAgxB9nJJpCOHAcbwjFAP5unWeFIM59GEDWTWAYxB9wnFoeZHbg3DJtuB9+eDQs0G6gTStXU2X7emRAxyH6OO0QknIBYfzjlAornW3uweF4rLctmTYAA5F9An3oeVFcQ/FfTT75P0D9GyQ/khIa/f68c9HhMkcCPRwTqEh5IYDekc4DvI4jpdR1zrTJpt1YIsD+gRtaHnxe8VhatrW7x+hLQ5TtxBTHK7qxwgCYcAWCfQBUSgJeeC43pGHkSJbJUip/KjgY9EBDkX0Sfddy4viFop2dE3D/f0j9DA0tFJlWFtA267cACgU2cdopRLIZidDwZYD0SwKpFT2MrNdlSkQ0SPpuIoXvz0OpWj28e8fIY5DqVV/7oUxyWnE124AHIfo45xCCWSzQ3Egy4FoPgpSWvTRMBk2gCMRfZKRa3lRfIVi3UnusofCoC0Ut1ZQJWv3lLRe5JEBWyjQB7SgBLLZ4VCk5UBO/6EHpeuU46UsgC0U6JOMXMuL4h6Ktcj5up8chjwbMvwQdVtVnqTTvQwAByL6OKlQEnL9up0aaRfA0G9xSOUYYp/MGsBhiD7hPLTs/PYorP/kOPr+EXo2aPoh6sZat4cl4ZADHIfo46xCScgNR/WOUCSaVEanBdUCNCUQGTaAIxF9wn1oeVGUUPzXn/7mU+nr4rVO4//zqfxiZee7rJ8nsgN06dBU8d8/kTPyGMgISC6jkr0eNfT/V90kW5bsNm3yFZwm52jytaRsNARketoaJVWuh72Mltoqssdbao9c9sskelj97uc95FnU//bfL77y7+//16d6nlIcPPTp/vQApLzSaeXDDdCySFrGu23i8DLeAORxupl3QJKEdBlg6i5zD+YulB83dy44X8+W4vpRcIQiE9yMjBPR3XggmpOmxAlsfL9JKKTuU1+HwC8U9j777XMtH25aVbCue/sdEa7d8rk4kvMqCb/uxoAdMN9o7q+j2/MGglrX4uxQew19PZWWHfhG7jmkMbi/Uqc6pKhAC7UkH/7DMKE4oAkyDqHWOL7jglNLPjatvxxV+Z7Mriv6zFUqNF6WURDQQ1Bf83tLiGLcRySGmR+HmpIDXT6QkkP1anao19tOHQeeBGwP0pNDPgBxnN3DhnwAcsjsPwbS7Hj7YYA8otrMfgBiyDqMfyHQd7WEmU0eONVT+R/DrpsOPQS1W0P+0MAfQXGUoPzlD6EcKCmSzh9D5AQG/giSHF735sSPIAy0Y+B/fyp2GPj/vn3/6T/+4dN/+C9LXBeTsVYsP/3hbz9J+GqxiGm1XPFLJravG9Afvn/6b5//xZfla1m/0j//yRcpRHtc7fMffVmX6K9r/ff5z7+cUq91fP6LLz9L/esy6ue/jH7/9MuaknIcV+mf/+rLz5LnpJ1zdfgff/jPn/7THz79TV6SyyGry/OnKolEuxyqgUhmzzXhS89p8q3yfd/yWw3iuife+vwk2iWvcA6H6PpXdwPKLZWCRJ2OLhLPI7RD/PYJ5oHAPYx/E/gNl9mlWt8ZHLNavi4AshDopzCXBBg/SdYz3al3320iDZoCwuZsG3RL2ij7uMW0JOB2ZJBDRTLtXmsVAS1FLIyalgBoIMwbQO4tdLzYfLNFx4peX/dAnl5HVuAsfkeT2Wx6c4vJbX6vu+X60Km9XDHUhJxYE6tuG/RxRcrPVJpWE5VNSzndtNFvt3U5ed+HAH5FhXjI+Ef0SfHoHyN+4boljfFJwOpy2KF73LYGEKRpAMrhT1/ZrJzkolcOP8u4qgGtl9o5yLJGUXIenY7IuSlIzT6p5VF+UkYgQqIMK4XwAVDlJWw3QId8AHKIqJUnz+GdqNXMcHbY2KCTPVuiWYHzLw2mtBodK1AoSqt5IiUMbVC3CWwVWmQhdazFsbdvGkypHU7Vn8GbODxAekbUHwFnWKDxplBNXuFj16mVz2Xhgzl9X9DgTuGOsWkwlRacckybfQteOWKKNLi11DjmLHjym/3k8LoGmvl1zPVt5gHkzPtZmDP/EcAQPVCl9IHQyXNfviwjRkWujhYDpyyInSWIyluP67YD2s+c73nQB7E4MUotcXbVk4Lz1uKau00CDoREMPV5efiIYPrfelz3sGN7eYCT19nWM8cdduRmRJx/Sx6bHl0TSd279bvvV9x0JGXh67bjkPygk3em91pf2pdfUmVx0I3HAbmH3Ej06X2kQrp9IOVaAqAbT0DNXr5Ai12JTr7xGCDXdfcGEFEwLR842fV6neuapv2Yw35oMlQtH+YvQJpER0+ayz4c+CE07EfrLft2Ztshe++2glK1NLSe07fv2K1a8/756KqdlcuUfmSlu2D0eZYsp3Ua5FbsQ09PTHroMkSRpt+cyMGha8UPmkx9s9R7iKqG59LZAfQktCxesiXsyYE/gHLg38kBcjspc1YMyA5V1XbI6tIumtU+8iN3V6N+5heU3qpM/wqGbps/bPfId4GGK2v6Pa0OPewjB3mMqlNyXZ5QQU7QpkF8qzL9efg237RAkNYRVm3Nsln/EGq+weCtywyEI7e/7Luu2z4XOvTD+YcYyYLApiScLYe+yns+aLL5RRTlGemwG1qFrhvRx4TIarndW6x1H8w+IaZqO3yqLH9n58MHEB8+fpHgw+dHEAbqTQlfRRwVN9DLc4uDpiyX/POziIUcgpYQIiL2VuV3UjtN/MT8TqcSaOb5Jpn972s7lzJiL02mfS31NDlDHjwE+ZHC160fQDh43rrcgJc4P1r3fSTB/FjXUNvjI7Ur9Foj7wxK2YJx9OoPIt+6PjxP+H/+qLx/kt8Ec02K/Kj0n5P3pbnyZD/VCrj9nPxHX9a6oNWzrB+RUstr3d0//+MvP0saldE///GXKpmHxrV+bP68JvLsV/n8T6SjPEv4/Kf5w7Gtpp+6fP6pd30T5R2Z3gYh6r20yXbrU6qX6HqrnVq9DaIU9j0PatVlUY6F2OxnIAC3/AQw/VmhKpPvPsmUizLaXIl2cTNGEiMvoywkpv/QUHHI1PeguERd5LjeIR+OnWEXolPMVvU4x0J0y8F5+vIoAYRI4nWeZApiUox2I3EkX9cbFIfs6KtJsfZBs7jEi2Zx1FGcsVJ0ERSj1TjFWIhjm0VYfghAiA4p43HRLEIMitluJI7gC71JsZXBs9ilUHNSlEIENIvd1uiw6yIoRqt5HGMhjm0WYfkhoMYsjnZcbMrFpBjtRqImX9f77dPffpL0M1VWnMcvvlBoUppMPjboV5VbHCNSmFcv+gStnxVrZdHOtb6TlV+XBdK6/jYpYCafVADQIt+HXuKyT7evw1JLAGZJBzlk7jwbMlyN671qdWfctgNaGtz9iz5J07XsvO3IcGzIzetuHIyhjzYmB2NBWhYgjA35tddKOgSAgpF9nFZqSaBYQvCE3B+Ohpdioijfzb3BTBjA0Yg+MZ/Q8mK+h6NMf1qbUJU0MVs0pLCLHoyIRp36TD6j4QBHI/qAaWhJoH09t2C4Nw9D8uKp/0RRPv16HjNxxhU/Zgt9gia0vHjvwZBH+/PegtF7x/QkdMmXAmlN3hGUSR45wNGIPuAVWhLoNj0JuT/PBhXX44rl5ad548Yd4HBEnyTqWl7Mf897Sz5H4zLTNP2AI+0s9n6pX/a9DwGS0dciBUg+ydGZch1S0X3QsQZAA2V5o7PPuPX3YSiBTHYCgi9QAmd3Ot9+zftVSfc59VCwGr4UlSG7Pm0O19Wgn9np+TgOi8B2Nbs73biVOdBuf5aWgN2hLilE0C67P8lOrx6iVIrXF0/ZLjUWaCxEnEcOuPUnAKnAasZU3bCFGsyNWLepM9FqjsbYjZmef6BShy8wHdDvwZmsfpINsvrBdlp3MclGu/keYyG6/WBfsUwIAMG02LXK5lwE2WgFlZu5u24mK5/9H0z2GGEfwJEze/TLmat1F5NstJvvMRYiFioOuPWHgItntpyVzbkIstEKKhdzd91Ett9X22a2X3ivmMARM7vOhZNCDTHIZrv6nmMhtm1mYf0hAMFUdVJakMy56GSzFVQu4g7dv3VlJhVM5AftkBzSU/djBKQlnpu5G1CVHB7tkmJzegUpWpS8yS8Y+TQJgDgtT+ypi/z8OSspIUANrTEBuTsPQ+3QDRSudh3p7opbdkAtu3fRJ1i6jhdrO0QAttHlFzeHQr5v2SNR5cC+KBK1a6Ll9McBigS6BCUoIaB/3QPhzjwbdLklU7vuWO6KW3aAIxF9kqQrebHeQyHFcUrZQiEpN++5xULScpZOsZAHmbORRw5QLNAlWEFJAmaIg+HuPBt0uinTW+Tj1UGmHeBgRJ+k6UpevPdgyLOZcXEw9PmBzU5C8lKvZjD0KUJNh1zOUKADKIWGBMwKR8J9eTZoyAOgjHCZ7ggmwQCORPRJjq7kRfp3rcfy1KSLi5XEAdRk6/dpp+YpFwECdLmiVz8gZ9PFYiqZmvOUDBmgkTp8kPeZ8/ZBriUBGErEfUkl8PbF6FetyaTUsnx73yWrc7WzCQeDLwf1/tN9JWq9no8DsSjrc13em+zV1ldUKnY5XXRBBlGXFX02eZ+0RH3H1SXleQ1RCkPLM29q79W6+2iIftt1ALafBOZ0c6KuyWbtNAdRzR3W3duVCMYSKyvGLUTK8LdlJtYRlk3UpSJoymeHV9J0MWlGu/GK0RDdNgC3/STQEUZVJw+xyZyLQTPblQjGEqukKTv4etLseJUNcfJs9nY4a7XrYtKMdvM6RkPs22zCdtJs5abZXOLJ5lxMmtGuRDCWWCXNfg+ezXF3ns1xXzybp5RdSbsuJs1oN69jNMS+z2bHW+YECs9mvyabczFpRrsRKTmbrjlpnufg2ZxnWDbx5tmU05zC62LSjHbzOkZDdNsA3PZDQOHZPMfF5lxMmtFuREpyds1JU7ar0mzKMziaTUncTrMpGyAovC4mzWg3r2O0i+3cZ9NtPwQgjKpOfjSTOReTZrQbkZqcXXPQHL7DxWmO2GPgYik0m8P3QLhdiEEz27s9ey58DEN30ByxuyaBRrM5fF8MzLkYNLPdiLTgDM1Js8ybZnPUedFsjnpVms1RL770QUyadbuD5GgX57XNJmw/BHSazSFZCMici0kz2o1IT86uOWm2fvNsrpOXZ1NKC9Fs9sGXPohJs293kBztYr/32XTbDwGDZ7N1vhRATJrRbkTy7gLNv/H3X59H1eQG/Ti6vA5nSB4a69qEIf3MfgFdCrd0OXpnEVk/9w9APC5NUy1kH9lq2VhJAt2eiSXk7jwJNXnBOX4KvU0eK5svZhuAqDH3qIv5HzperO3gCJJrcXKOLRR1QdcWiTr9bu6RqFKhq1EkHOBIRB+wDCUJDN1ZTrExZ54Nqq4GET51AwDNggEZCeoSJF3Ji/Ueitb1rQqHonffdU/Q0LfiYawP/bo3/XGAYxF9wCqUBNB9x39C7s6zQfqaJxXL1yizk3EHKBjZJWi6khfvPRiSqHzsp4h8IaDbhghaSx69ybuxsy5V5I7JHAr0AKXQEIBZ4Ui4L88GDVPjaodt+EjLDlAgsktQNB0vynscpDzytZ8f8kPpvrc4zFtzaIYtqfBT+QRxgCMRfcAplCSghjgU7g6HQuo1Vz5DpGTyyWeIAxSL7AKaUPLivQdD907vZ4jsCPG5SWjKw40wJq/G50n+OMDBiD5gFUoSaDY7Cbk7HAz5KGbwGXKN051x4w5QMLILaELJi/cWjCE7SGbhYAzZR+Szk9Atz6JgbJRetws5AApG9nFWqSSBbrOTkLvzbFBxPa5YtgB3ulYByGBQl6BZttsKDO3BkC35tW/BaMe0XUMEFU0aHcaabHym0wQAByP6gFUoCcAMcTDcnWeDqt9+XHE9DrIsEoXBG4Odj33R3WPQ1jpPsxckJGlYfFICkoLmeXYsWT85Tk8c4BhEH5AJJQGYIY6Bu/NsUPfbDoJrydNpAgygSGSXoOlKXrx/z1OzPC1zSSZpO6Q4A6B1bRr6ZZpuDpsky64rnfdATv26MlQ02SN+UHABCL9qFXuyT9NvvVNLAmEoIfcFWsLZN6Ff89BsrY+Pr5PfY+aE4D1mP6e+S6eXlu9h8cRMH6HSa0wA8RozAX0G1O8jX1P6E9p8jdllm+SZ7dedL0Ah4IeCivEC00R/BQk1/oISZuL1pTkRreYgxu6M9LQDBby+BBCvLxOwnxGq319Pwnq8voR3aFfPMdIF/OgzznhxCRHBsVi1ymbitaVHGq2gcDNnem0JKF5bAojXlgkcOZP+WhLW47UlvEO7eo6RLuDZpYrxwhLixTPpLyRhJl5XmhPRCgoXc6bXlQ7l60oA8boygSNmEq8j3Xq+rnTvol08j5EuNJrJfFEJEcFRNf4iEmbiNaU5Ea2gcBHnfE2ZJOUzZ55JvRTzTK4z/4qZXMJJIYaYJNF+2R0kj13oBUm3+4R40kx2eSVLZlwEyWgFhZM5u2YmKQl5t5kcvewzOdqVMzla5xC7mCTRrp5jpAm98Ey63SfEk2fSd5zAjIsgGa2gcDJn18wkV4T3mdTU6UyynWfOpCYvT+suJkm0q+cYacIsPJNu9wmx80zKOoDMuAiS0QoKnTm7ZiYpH9RvM1mQQCCBM2ey3HzZg5gkC901YqQLN8+k2wXJdnSeyXZsp76LIBmtPgs+dmfEJEu995k86r3P5GHXftN/VL7sQUySB901YqQLN8+k2wXJ0irPZGnbqe8iSEarU9juKND8W5+PyYVRcgLkK8yEYn8EQ7q1YQFFV1vY/KCX3jl5f0SXsj3l5j6WJpC0JOAbJBKKDRIE6eaG1Ou7H9J27JBI/6JP8HQlL956cAQYOyQSwg4JRnRzQ9ry7Q/pT+yQSJ+jD0iFlgRsi0QisUWCoctNuV7f/5C2Y49E+hd9kqZrefHegxF7JBKKPRIE2faGtOYbINKj2CORXkcf8AotAWCTREKxSYKh0225Yt8BkcZjl0Q6GH2SqGt5Md/DEbskAspdEgTZHoewxmuWOWmXRPgcPZxUqggA2yQoPNgmwZDucKAg2x4Imgjsk6DJQp9k6VpetLdYrJ+kWtqQYzEX5LOTUNencBELqfZ2TQqGAxyN6AP2oSWB22YnIffnYUgyrswMxwJO2S6axh2gcGSfIAotL+Z7OM7ztCxlCQ2pD7adKQuq+mM6rA3ZKEtnCgAOR/QBr9CSwGk/yRNyfzgc51Sjqfhcf9x0pgDgcESfIAotL+Z7OOSnW9vPFMkWUvczpa3TsPOZ0iRNEl3WAXA4og94hZYEhj2uScj9eTbodluI81H10VPOhQEcjuiTRO/tJgNLezjauutd+8kivzbnfrLUomXr05rUT+p8sjjA4Yg+4BVaAjBLHA7359mg6XcRxHndLQ8+WRzgcESfJDq3+wws7eEoo/jbhoAkBaFPUEDrfjlPCsfRu90h4JEDHI7oA16hJQCzxOFwf54NGm7LFRdLcZPGHeBwRJ8k6lpezH/Xw7Nc69B67dando6s+8ZhT418lxcBvhGMENsrljpsMxmZwYYzfSBuY9BnLRaOm5UEADuJuCupxJ198/lVz86urh/SyrxW+8Qo9ODBnSzkD8liFZ2ej+Miq9BvTWQjqZFO/qressHIQlfyFtyRW6Ffx9fM4vJQnxbpTPZR76xu5ZDfwtdPZXbPXFJKbSchjyAnI0uWVzlLtp01IUtmHP1FAaTKbqbuOhyxF+3QWZt9QQmrkL+FZ0CEi9QbpjHgD50hlxs6DIFnTyLw3XUGt1c8flNGoi57EsuUyoBDI1nWYVMT0jCsZVdJaAFVz40y5cPfi4CreML3gKo85tOvsgmSh2Ltp1Bc21pmtvOnMA7gGxwEoMEQljTokM1tjdQmYKZVi0Fw8CEIJKA4aO6x+W2538ohk6XDry55OwXS528JPQRdkpX7UggDfwDFwNfn2qJHPgkovqlJjQ3NzOPIQ0iNPCMY9RHJY++yDD8/QHKUJBr4MdI+jPqIjDMRs/4RwahfzAW3hqxbqx6LsnGmWCyOw2bfoIchSUUwDcLAH0B52FxNP9f/IUQD5cb3A4AcwKAfQOsy0/ruwA8gDPz9eeDKYS95ZCkkmYf0y/1/I2nd5rzb5z//IjcOeXLy+U8pwxvB/+qLpDuZU77yl0/2f9a3klK+RnYVnJIM4H8ulT99+Xktvsa6pYoipIf7sy9VlsiSZk5+ax3Hjexya222/myaIqBLdjkM+Sty48901HVo4gBJRHeOz3+tSexa7Z5CQI7HSwrNiDvjvsydfyYKparRuaxIHp65/vprVT1WVNvnP15qpOTPJNf++9+TbXIp/fwjSncXC5hfOFrjmpi30tKluvSHW+mycO630iJ5QOlGGj3iRvoagxtpueZF9+DviSAFX5EPFDPF3rouW3atyMG3jM+D2tWVGM2OfXNHI3+ejozseq6Z8u+57exhvuX43fvfcrdbqrsmLKdoA0IOvnW9H3pT8vx6y9+rMKCEjrn3GTKatQCIBEUBRf48aIn8erBEOfjgTfZxf1PLi5Pn4SsXktHlHFdPBOarl3lZLqzmKyTMMdIfLOTw5HzeQ37TsgaXeaYdKdB5eBo+2PTZxjsheJE94Dc07Dy+7SvBdav4wNKQYq9rlnwYq/PF8gyWUpmCe5zt3DS4zCwdOYrH4TJW48VyBEvzInvAb2jYeRjLX30Nkfr0Yz+qAWmdqktdslT9XvQqj2oHlJbkTeM+UlFzshYAfFQDWvfDJos611Lus0u+ATqqDdBJN2+yT1CAlhenb68Fzzrqy55FNBBLkVZ0XacZDztPPGQ7vKcenOhxTkvwBw2QaeIduadPtGpYh4q+NsuDq/pbNXiRPeAlNOw8dOJ/5QpzGZvvW0dAltdnAes00l9qkvuWL2YOKKneX32KrZ9DSwA57YBkZ69dzFxL6ThtcID1IwLu3kQf+BtaXpy+/QOWNoc+GpZEMQVLm3/7Za2hv/a7yNpGEpedh6xI9NnIuu1vt/g/iUUFsuC2yzPayrOuLt/Xb4ucP7J1Uy2f/53+VcvkZLi5SPkL9WLMY3z+l7lkGGcXgpe/TzVRatbpi0aIujFhnLqTvBTbi7JEPY4L9qqMU3MsZ/vo1t1HQ/TXxgDc9pPAnD5A1WmuujTnoow3d7L9oLHESn5CjVO3vRf/8Op7AJKMuJp1ALqagHYthK3iGUJSjdYhbwxyLET/kQ8gPikLoCNUqk4SCIUxF5JotDoVjN2YMdmO9I8ARg37ABAuvV8O+1LF7A98xzI0HTm1mu8xFqLbB9CRNDKAcvO89jLSWEe6H5CNVqeCsRszJusfYSXZ8+77zJ6WCRZkp90Ezb4LSTZazfcYC7HvMxuflwVwIZQWu2umMRfUmMUdrU4FYzdmTNY/xUqykvhvm1l5dEoze9lXK0Mul1eISTfaZbEXY03oMa81LD8hIogWtTHZjItJNNpBozDv+MAsifrHWErU0pwis24CN82qpl/s4QFE9cAe7qF9VBo7MmcviMYnZhALz+ddbzIDMYlGO2gU5h2fmP1d0IhMuwDqEfYdKIVmdImNQg0xiUb7qDRWBWzZMDE+MoOIAPrD0JvNHPe9zWi2g4aP3lgxUf8gK4m2ee0z2i6E+hBh8Hy6mDSjXXyPkSpg+42zxkdmEBE+i9YsbKbOss1ntoNEY9bxkVnS9A+ylKau2kcP+w7Y3cFojrjraJpeF5NmtOu1M8e6iO1Uxi0+NIM4eEZ750sBxG92r89W0BjMOz4z+7ugcRbfpQRg1iPm04GW8znr6ayVqItJNNqNWYyFeMScKnDiqXkCg+f1LDia1dxZ8nJwUCuo4J7DzJjsvMs+q9d97LN62Z3B9F9xx1HrLqp1XcBHu/keYyEeMavG/s6VkgFxV1F182psbl6NZzZanUrcc5gZk73xI8eBJr8WDiLbpGQBZnYJF80sxCCb7VaJI8ZCLNsqEtaT7B33FiV7j84HkosgG61OJe47zIzINskwzjPbaqvbzLba/Mi0xAM17jtK18WkG+3GL0ZDrNvcwv6TQEU4VV2pfIGA+A03ymx3Ohi9sXPCmimhIbdpAGMi4A7YlMBCs4WAL9AgJuFs15xiMdrFkWseA5DhNEISdxqL380XCohJONp9duI+xOx+4ya8IUVUJUv4cZ2WCjsQqcCtafoSufUFzjjXvfW+FBhfh8ieatxk8XhdtTTXOHrUZonGQ0UAZkXHOOSuPBuk1bdTr2ReNVfctAOiB95Fn6DoSnbKdogclz5LkSQWfVgYDJEfPOO2MDgipcALhUH2z15NgKHZ7ABwIKKPbIaorCUAM6SDHHJvng0arscVy68g88aNO8CRiD7B0pXsrLdISJ4LfckfiGxfvCtHYqxDb+oBYKnAi2yXLic544A6Y9mvsw8ohZYE1BBHwr3hSEjmDdPjkZCfSKOTcQc4EtEHLKFkZ71F4lxnVisciSnn2smRkOdTx6RITCkzcpMzDnAkog8ohZYE1BBHwr3hSEhyjq4nA0K8rhTmDabBADWOqUIfzCWU7Ky3SEzZwd05EpIyfV4ciWvqDpY0dF3VLotFv0oOgCMRfWqxPPmhJQE1pJFwyL15NsgvwRHiU14FpG2TOQ7oERRdw055C8O9rtfFT43p+b2R8Z6gdZG/ewaiSkGOcaYzANSb6Zn/0ccZpZYAzBIHwv15Nki/HMtASAWFmyPhAIci+gRPV7Lz9lg4TSTBT0Q/ahpbLGrV79cyFvp500WxcIBjEX1APbQEYJYoFpFhnpHuplyvJE2oPA8OUCiyT9J0LTvvPRZVlpR9C0ZbULm2YLRbfobgNrTEy5alcMcBDkX0ASnoSFnNcCTcGQ5FlaT1hUIhWRO2WVCZA4EeQREqXpz3QHSpFepnyCn7E3+usml02HUrofNraRmJcd5+O2lWLsABjkT08at+KklADXEo3B0OhdSzNFuuuMv7v0axcOBbrH+yS9CEkhdvD4bTPJu8uOFYSAqSY2yxkCQl55mxmOtX6XFRLBzgWEQfUA8lCXhRmYTMm2dDDjflek/ZRHmSbQcoFNElSbqSnfUeiUu+H2tbKGSnuU9NQrfkIQhbd2l+R3F3HNBQeKmc6ANSoSSB06YmIXfn2aDqtlyxpE1QPTEPBlAsokvSdCUv3nswJDXbODkYTZ7lb7Fo8g3CyFNkyd0v4+YOAIpF9nFSqSQAtcOhcGeeDWpuCjGeh9x5aB4MoFBElyTpSl6st1A0qdd73Fso5NuU2rdY1KFFOnA7WvL0ZY/HwgGORfQB9VCSwGGbtRNydx6G+pBM3KlYkiZcdK0C8C2WCdklaELJi7cHw3IUtlbjIURA8q2Kry4CusWzMNbkY5Uzf5QA4GBkH1sUpJIEhu2lJ6jGUwkEw2q0kt6i9WwyFg5QLKILqEPHi/Xv2ZjMPwLzR6xVCgI0hmzyk0WOHPtyZ09g/RCzEzqhNS9TT2BokSvtyT83DdCjxkr4ZJ+1iuqNtQQQlhJyb1KL+/vm9Gs2J+sDzlpyHr/nL5/W173BfrOMy/KP8mH1Goi9buPS0m9Z7hZAvfCqCYClWxqX1n1r1UqhLLGHsHhfxcpAo1WLNOZYFy882HIgCtQmMN2Yqmv2JM+MNTzWgyvRCio+dmOmpyCoFN/bCUCrcTNZqWp3JNlyDHenh5Bko9V8j7EuFjwWA3uUa0wAobTYlTuNVTywjbijFVQmc3fdTPawp99Btt69bjNb7zZpZpc4ItgQgmy2WvnNGOsicq6B24EvtRMYPLNHv3NmDzyKB9loBZXB3A885g+y9ZrHNrPrODy2ma3yazBndoktgg0hyUarsYuxLs5jm1lYfwgYNLNaezqMuRBksxVUBnGHbiZ7ohp7AMexz6wU5aaZHXfLmXUhyUar+R5jTTyRGzEAfLkd4TgazWydR14gICTZaPVZwdiNGZMd9dpnttdrn9leB89st/uN2e+4+cC7aDXfYyzEa59Zt55kR2s8s/KEK4y5kGSj1alg7MaMybYx95mt49pnVj7kPZOsF3Ey+1HgCd5Fq/keYyFe+8y69STbzsIz2066QLRz7DMbrU4FYzdmTLZcniAUgNwQt5mV57o0s16Uy+xHwS54F63me4yFeO4z69aTbIl7jVVPvukC4UKSjVanst2JoJvJHqhq5UC5y7nNbLntfuEWyn3kBRJCkM3WwypxYyzEc5/ZA5WtErh5Zn2/nke2tn1moxVU+E4E3US2XH1sM1tmD/sACs1s0Z+3IOtCko3Ww79H4qMauoMsrD8E3DSzulE0jF0j7tLmSrSCCt+JoJvJnnNfQZUx9xXUAg6e2XHmBRJCkh3bvSbHQtxXULD+EIBQqrrzygsEhCQbraByMfdzvldQZcSbNgf60faZbTevoEqzRPtm34UkG63me4w10XUn2RHv2QLgFVQZJS8QEJJstIIK34mgm8m2tq+gSm37CqrUevHM1poXSAhJtm73mhzrYttXULD+EHDyzEo+zjDmQpKNVlA5mbvrZrIl3pADqPsKSj4t45ktJS+QEJJstJrvMdbFuq+gYP0hgFdQRQuAhbHz2mc2WkGF70TQ/Vvfn07bubZ+Xx1eYy2hdngZ4oTqPfUd5JTHqPr44bbnylLc6jwTWG5LyYTj4j5TXqaSEpfdjg4xxJ15GBmuw5X2Q9L1pl2TRQdcix7B0FW8KOvxkQyrlmrmOEh+GM0UwZCmGExjUrK5sT8OcByij3MKJSHfliciI2XOUBxq61IljYIrxQ0nT4ABHInsA5LQ8mK9h+IY8vCDIlHvgXfqBDV5FBDGFqAJJ8MhABSJ7GOsUknIeKsO3uYLBUKqp8vhH4GQ7Slnp0A4wIHIPqAILTvnLQ71knyJ26lR54VHDwSto5jiMKe9kIw4OMBxiD7OGzpCxOMsIO7KQ8htL2FD57UWbRx+kykK2QP8oOJFeI/CLFqpmqOg7xruLQryJHVMCoN+u0QnBgAOQ/RxTqEEstmhOLgzDyOX60Bs13VxTo6/ARyJ7BMkXcuL9R6KYbeQkHUL3n5ayOOqyqdFt7Rs6U5H4rZ0Ofo4p1AC2exQHIbdTlLUvDepUdIJVDopAHAQsk/Qcy3Md4+AfsU/tyCsX7mYkoBOexgYpurZ/Pbh7jjAQYg+zimUQDY7FAR35mGkuw5X2uZ0T9ywAxyH7BMkXcuL9R4KycXW9sukfLRz7+fFcetrubR2rB9TdgdxjxzgUEQfpxVKQp7+QBaIO0OhkGS8pgPxPTTBCs3B4RlXaJ6iD2YSWl6s91Ac9ZSU3BSKcutnsxyKBTV54xrW1g85+6kFjwBQKLKP0UolIZ82NRkcc4ZCId+72l0G8bXvlmgODOBQZB+QhJYX6y0U6wfWkCs7h0K+0GzbCbKgQ971ZigkMwMdpi5zINDDeYeGkIflPwrEPXkYuU2Fq7xO3YiTVh2gMFCfIHjzTQRm9iic8sZmOzfKWq9+3dZS69feLa9d0taYuu0n/XGAwxB9nFMogaxmKAzuysPItIs/dEoS90JnBgCOQ/YJinO7hcDQHohRNPExB6LLDv/9zOiyz5/PjC7ZGBt55ABHIvo4rVAC2exQKNyZh5HhOhDeot/Z0RQYwKHIPkHStbxY76HQ32z7mVHbhblJaOib2LBW5dNScshkDgR6OKfQEPLlb5qBuCcUByn2cPOpIcUeGp8aDnAcsg8YQsuL8h6HcnoqFYLqieV+QppHL60VuRDSLRQARyL6OK1QEvJpq/1ETk/ikogkMuezQyrn3JthAzgU2QfuQ8uL9e96T0q/9eK36j10nw8g/WEtG2SaHPYyCQmsX1v2Ujche6dIWtZSiKcbgHA8bx+EPrJ55mYtAYSlhNyb1OL+vjn9qvekc/180ve6PpEUG7yklWcMpdk7WTqsXgN/bRYn2Zwt+aCG7tXWdEBD0zg5Elmcbq2vNfBSrhyym0kyGBd/zBJ9+kT2pNcoTz4xa2tfvaqEfn0EIBLMJKCPRpeogqqdtVsV3sNXEguwOr3RftFIE/zRlIlu93HRPyeEmtNeH8GMizJWnIhWczDGbozkFAgK079lAHDPsA5gukoVbnfGagNPf58E77L9opEmuG3nPP0bBhdPBMdidQ424yJIRqtTwNiNEZEcklqOZ3KU3reZHJIUAzM5JNVbhhhikKT2i0aa0GkmYfeB2G6aySVONuOik8xWp4CxGyMmKekEeSatIAeTbJawwvTLtpEMMcQkme0XjTSh00zC7hNioZnUAhxkxkWQjFZQKMzZNTPJdp37THZ8iRKAfUti+rt9ZwLr/UzP1btsv2ikCiNmQznj1RnEwjPZJp/6EEEyWkGhMOeGF2e/6enpLPKhryZUlbeccjNP6KqXPRwhqGny5im5vG9NqNo0efOsR/GEqs2zOU/9CTa2Phfyp5qWBKrnjU7I/Xk2qFkAoFgefpgeN+7At0/pIPoQUdPyZq6HRxK9b0v0m5CUV9MnZgENqfkxRoZjAaf8ygyPAFA4qM/l2XVdSxB1SxwO9+fZoOF6EOe7yi9amgsDOBzoQ0RNy5v5Fo4hSSo0DXRCUmNNn6QyNCRRboZDyhOuZVyGwwEOR/bxcEALAb6woJCZPw9Dpz6Tpzivk9L0YC4MoHBEnyTqWt7M93BU+aK7b+GQJbNNEEHyVVkaa/LRWSWHHOBoZB+n5UpIbjY9Cbk3HIyKyzz06reAZNpkDoX3SI6u4k16j4TkTLi38ySr0xC0fnPOi0LRb7ngpTsmcyCihzOCigTMDAfCnXk2qMjjUNK7WuZm2gAOBfoQS9Pypv17fgTw1SouuZfV+gE0y5xWV65oqauU16Wi2Lw54nXbUsU5dd91mnFAAlW8Ghy61C5fnaWSANJOQu4KlMDVN51fs/6f8hb14gJIOR8ogDSL/NLYCiC9h2HxP3s5qfyRiVH8CKKuG5dgpUktYcyUqb6o+NGUd2yV28tXHg3RN24AiBJIALyQEdR5mSOYiyJIcCfaC48lVnrWGREUQDIxyh9B1N8A0OvljWA3yh/Br2xXr2M0RKyXwRtFkBJAmCxqrbK5KIMUUUd74bHEKmlGCSQTowASxINn0wscwW4UQIJf2a5ex2iI+O3jQJRBSuDi2fRSRzAXhZDgTrQXHkusgmYWQTIxSiBBPGg2UeLI7WYJJPeL2stXHg2xbbOZhZASQJisiPV9sLkohQR3or3wWGKVNKMMkom+NQg0p/9Gcb2zqaOw62LSzHb1Oka72EucysYbpZASOGk2Ue4ooop8DxF1tBceS6x+65q7rWlawyiNd0JRdoUhWy23tRLpVHZltvOSl2lUdmXK5r56bX2KlYyDkpCxTAcSNVcS0WopqdPLqaTdKLmSvkWf4OhKXpz10AgwSq4khJIrjGixlLTl5VTSnyi5kj5nH+MUSkK2gisBRL0VQi5X4Tq9lErajXIr6Vv0SYqu5cV5D0SUW0koyq0QZIVS0pqXUkmPotxKep19jFYogYxiK4FErRVCTtfhSr2MShqOUivpXPRJkq7lxXoPRZRaCShLrRBkdVLCmhdSCYei1Er4nD2UU2qAjEIrGRnUWSFEC6RQcK2ECk0AyqzQJKFPMnQtL8pbHLLMSkJTUhmcWxxkJ3ylQ6LPceuFKgLhAEci+xj1UBLyaW/rA4kaK4lYcZRU6uVT0nCUWEnnok+QhJYX69+1wM7rU15fr2JLe4emLOhmy+IEBHj9AkKsxAEpsSIIZAiFEqak47NB6LOolou1BBCGAoEvoQTevhj9qjV2W/dFKytt00iRwfpe5lG28t/7QfUa+A/Ju33Lk3FNLLSufp6b8p9LHumztmGpKddRcX3+M808uX6lXZx0+y8lZ3WfV/38r2VMLY07Sgrs8+q9UW5rykz9N5/+L5gVymwNCmVuZHN0cmVhbQplbmRvYmoKMTQ1IDAgb2JqCjw8Ci9UeXBlIC9Gb250Ci9TdWJ0eXBlIC9UeXBlMQovQmFzZUZvbnQgL0pXWEZQTCtDTUJYMTAKL0ZvbnREZXNjcmlwdG9yIDIyOSAwIFIKL0ZpcnN0Q2hhciA0NgovTGFzdENoYXIgMTIzCi9XaWR0aHMgWzMxOS40IDU3NSA1NzUgNTc1IDU3NSA1NzUgNTc1IDU3NSA1NzUgNTc1CjU3NSA1NzUgMzE5LjQgMzE5LjQgMzUwIDg5NC40IDU0My4xIDU0My4xIDg5NC40IDg2OS40CjgxOC4xIDgzMC42IDg4MS45IDc1NS42IDcyMy42IDkwNC4yIDkwMCA0MzYuMSA1OTQuNCA5MDEuNAo2OTEuNyAxMDkxLjcgOTAwIDg2My45IDc4Ni4xIDg2My45IDg2Mi41IDYzOC45IDgwMCA4ODQuNwo4NjkuNCAxMTg4LjkgODY5LjQgODY5LjQgNzAyLjggMzE5LjQgNjAyLjggMzE5LjQgNTc1IDMxOS40CjMxOS40IDU1OSA2MzguOSA1MTEuMSA2MzguOSA1MjcuMSAzNTEuNCA1NzUgNjM4LjkgMzE5LjQKMzUxLjQgNjA2LjkgMzE5LjQgOTU4LjMgNjM4LjkgNTc1IDYzOC45IDYwNi45IDQ3My42IDQ1My42CjQ0Ny4yIDYzOC45IDYwNi45IDgzMC42IDYwNi45IDYwNi45IDUxMS4xIDU3NV0KPj4KZW5kb2JqCjE0NiAwIG9iago8PAovVHlwZSAvRm9udAovU3VidHlwZSAvVHlwZTEKL0Jhc2VGb250IC9JR09RWUErQ01USTkKL0ZvbnREZXNjcmlwdG9yIDIzMCAwIFIKL0ZpcnN0Q2hhciA2NQovTGFzdENoYXIgMTIxCi9XaWR0aHMgWzc2MyA3MjIuNSA3MzQuNiA3NzUgNjk2LjMgNjcwLjEgNzk0LjEgNzYzIDM5NS43IDUzOC45Cjc4OS4yIDY0My44IDkyMC40IDc2MyA3ODcgNjk2LjMgNzg3IDc0OC44IDU3Ny4yIDczNC42Cjc2MyA3NjMgMTAyNS4zIDc2MyA3NjMgNjI5LjYgMzE0LjggNTI3LjggMzE0LjggNTI0LjcKMzE0LjggMzE0LjggNTI0LjcgNDcyLjIgNDcyLjIgNTI0LjcgNDcyLjIgMzE0LjggNDcyLjIgNTI0LjcKMzE0LjggMzE0LjggNDcyLjIgMjYyLjMgODM5LjUgNTc3LjIgNTI0LjcgNTI0LjcgNDcyLjIgNDMyLjkKNDE5LjggMzQxLjEgNTUwLjkgNDcyLjIgNjgyLjEgNDczLjggNDk4LjVdCj4+CmVuZG9iagoxNDcgMCBvYmoKPDwKL0xlbmd0aCA1Mzk4OAovVHlwZSAvWE9iamVjdAovU3VidHlwZSAvRm9ybQovRm9ybVR5cGUgMQovUFRFWC5GaWxlTmFtZSAoLi9maWd1cmVzL2RhdGEtYnJlYWNoLnBkZikKL1BURVguUGFnZU51bWJlciAxCi9QVEVYLkluZm9EaWN0IDIzMSAwIFIKL0JCb3ggWzAgMCAxNTUwIDc3Ml0KL1Jlc291cmNlcyA8PAovUHJvY1NldCBbL1BERiAvVGV4dF0KL0V4dEdTdGF0ZSA8PAovUjcgMjMyIDAgUgo+PgovRm9udCA8PAovUjggMjMzIDAgUgovUjEwIDIzNCAwIFIKL1IxMiAyMzUgMCBSCj4+Cj4+Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeJzMvUuPJktyHQiSTbKZJPimRqN5IJdVA1Qq/B2+FSAMQECL4dydqFVKFCF8SYCchcB/P37s7f4leauaPcKg0bhlJ93N7NgX4eFP879/vd7S1Xq7Xy/8LwrvHy//9q/G63/9f15Seat15Nf//pJe/3L9/7+9UOHXv/o/X/7+Nb1dVx4kf7ve5hx5Dq2f8qrZy+u3nu/xduXXBdWe7rfq0MOhVbULpBU/gbzi377836//F3mXrnt5x860mt2b6mSgIKF+ueobuSLAKKm9zSY2QpFogfn/DN3U33pvr99SfatX3ugqFOjerbyNVAFpxU8gr/iDdJeCIvVr6q+O3G2FtHYxEsv8KOF6v42rFihYlNogwq1eK3YGPRxq9wp0Q6Ct4ieQV/wxwhW1lqdLwfoZFx6gdpe0KLGZvdQP/8j/Q57pV/zvH/4rlRjLeM/jervKayp9vo3XdF39bXn4D//l5W/+j+9/JOrd3mqLr4Aiz+/AP/NWnHrUa24Vltd//zIXr9rYjfjv94/Xf/fTalfu15zf7vVLv/70N6iHIN8Zj+Iq1Ntbvl/7WPbTeP3p4+U/fvmNr9/aW5l3q19+82t7W4/Ulb/8FoGpjvnlF1/xHM3Svvw2wHpd95ffsX/95td0rRDV9uV38a+S65dffv1PP/3ly7f61ueVXr/l8Vb660//eZn6va/flq67ji9//Xdfc39L895M/b6pJVPlzn1++YPlVM1jdniyLFxtcp31W/f7y1//A5n79z+9/P+tNbEHbZWY9+v6e+llPWdXrW/3/XqX9Vyut/IHH7TU2lvf2x5Gntuef641OvX82h+0ReJePz9agjk6P2p/uH7/9QumO+lz01r8/Rks61GTZyjlt3atHzQ+RH9EStp9dTxF/JjM8eWP6YEa8/7yJ1SgQ82ffl3xS32mOb/8GZ7j5eEy+MMPzP+Y1lgfmFXiLm2uJwZvy3hdj/xbW79RLXd5m/0Hn5jSMn7i2Hgb9Enj/c+250+6ft2PTV4223pZyjXf+riPx6bYYzNiE+DgL6mtKLV++fPPGqvwqFGrUvs1QqvGLdiCfpebvNrlAbrHPeqq8uMNzflh+vjOzxdH9TtbMW2MPr6zyfoe5U8P7sd3Pt7Hs9xKr29ptQPpvtfrCTUlr0+Qyg/Iq52qhix5zLdVI69f455BLhMfr/cXRVoaNz+EhuSL21rR2XJezxHpWDVVejevFHkspLQVHkNaWd9lVceCWEPtJao7DxXZW9WjbE7+73h189s123rHfu7VJWVpruYvX+sxpOClRWwYAurprm9eZlG9xluDvN6zWSPQ1pstAWSICEoAFVkm16fC1LbcbvhglhV4d/cUQiwQseZQyze+e644AGR7qVFEHXxEiEmYXmF5Rub9bIdmWS8VfpacEP6PBZTVYjnycGS98uurQwhXegKszt++zDzTClRUfKW3sSsWxPVIpSdgU9zocxA0577erxk1KxIUSa1nxGqtJ251aW90Pn7uiZt5lLeL4ryCk9mLm/5l0CNA67EhWWudslWJbc4/bbyu3z/vxtcjsUpsxhVSY1rrlH/Q+HWvhnI3vhrTO+/GFVJjWuuUD+MTLXsdr6udH6sXglf5mvioGfIAsprobMiSB4YHS65vrUd5/bINL7Ihq4M02qtryOv9qa9ug+X35cd6qx14fAas8F7VkLkarmtWszHv1e6RE3l9f6HSgNXyvc6ZV9/LiZ7E8aauzufqz+UYjAOh71Z6u7sHI6EhrR4MlzUYhkgwTIMEw2xoME6EusUlhmPJq6+Zgk6V3aoh4pdqUL93ZsR/tXTrix/5lzTRZAT+aHqYH+spq3+7vrBmx2X1xBDx1TQIF7Nh/M0P47/a07cZHiA87z3oNNmsOsJ+mQbx++BK/Msak68hUOS/I+C/nsP1fDn/iRFl4G+y8VdE+asG5a82jP+BwOpq2UqJdVaj0YNOld2qIeKXalC/d2bEf/Wk0FkI/Fud0Bf4N/TXXE1b47UZzLisjhgirqoCYWIWjL15Yewrf4CtTl0dvGu4SpPNqCPslmkQtw+mxL6n9UZE8juw/OjrGQrc4U4Kr5jL6oYh4qgqEB5qwKjvACyuoeZoscYlkRCFKrtJQ8Qp1aBOb6SYOHo1kfhYvdaxfQLGenpSaD3Gvd7p7FZcVj8MEU9NgzAxG05e3HDy93plA/exuhLhPTLZuRsi3EWBUt94EvW79sj04wlZbtyrJU3hzcGIpYXPn8vqhyHiqWkQJmbDuB8IrNYSP5FrlDnfAnkV3aYC4pRWV6d3WkR+pho/ZR8vq9M6I9XHQjDX4c39ktvb9M9dkMURR9hT18BE3IaRNz+M/EwJ041Gfq7uyxWae5ONviPM3zQI/4Mr+K+hRY+fso8nBPzXI9TvwP/O6PA7f5ONvyLKXzUof7Wh/E8EVkeOn8Q1JJnSIRCdKrtVQ8Qv1aB+78yI/2olMVQM/HO55eOt/NFrnY4suWEEZHZcVk8MEV9Ng3AxG8bf/DD+aY3owwcwp2W9Bp0mm1VH2C/TIH4fXIk/Bm89fu5OZHlSEsZxpmaNqWOvKsjqiCHiqioQJmbB2B8IbF4ldhDW0H9KNCSiKnvMDRG3VIO6vfNi9iN+yBf52ulfgXxdD1EL7OuobyOYcVkdMURcNQ1CxWw4/RG7A2A/ro196V26AxJQlT3khgh71aDsN6ZEvpUev2cfT8gDyJRvGqtZQ7S36e1+kNURQ8RV0yBUzIaxPxCymkM8csvzLWoU0U0qID5JbXV5J0XU+3o2Uhzk5D7vSHQ5Ma4k1FjPuBq8MTMuqx+GiKOmQXiYDaNufjj1uXUJltw37iI6dwWE+9x6LSdRIj96k2+1kj8QkO+3fNKE/HqGS2jyXTbyiih51SBEzIaRPxCymuNnMY92y5BZdKrsVg0Rv1SD+r0zI/73Gv73rcmfS//cPnlzWSihyZ9L/whNq8vqiSHiq2kQLmbD+Jsfxv8uF9Y3rc69Ro130GmyWXWE/TIN4vfBlfjTsH9r8g8E/Ndz5PTLdeXQsXJR3DBAuUttpa7qjfqBkMG09ZBo5mIElSp7wA2Rn0Q16E+2kwL19Qkob7HFKzQD0APzkvoanngEC81ceHsfZCVvCLvqGpiK21D65oayx8Jp/P4tuUtvgFWa7BE3RH4S1aC/2MaUyOfU+JOw/Mm01nQgDyA3q1nvVU2vZfVUeALJ5MbfskZeZPgHLxr1tJa8vrH4DSrNMC958UEoVn9oZq6xITCJSQmEZ/XW++KaU8ccYZDFyTrQu4WO1a+lL/0aUqz+zpILlmaWXGhN7qDF5MuqMFbFMYk5xHv1CK5OPpCIpclVG3OUCWJmbVgTzibD/mKXcyixBta9uAIVWT0qCCL2HwFZXfZl21SOq2JVw4yKTEbZLStBhLR6YOd078H7HaJkZNcwsafAFlMlObBlObLVEkpPNZgM/YGtG1Rg9c97d7L36giVGWyyHMhaCXJZqzsb5zpXDZoZJrFdpfFyhYo3ekeqt12VJkjVssrO1kuw767B5MYLNsZOPAh853r5wm+LL0R1tiwGsvp3oiNVAzXj2tJqbas9xio+TBzYM2Nc04XekVFlMTDVvwsxq24yaXei0Z4GY7X3lzNd8voqpRBelp2rl6BfR6sHNoHtwI4BY5s71r4eJt1vgWseCd0fMyxyYGslxHVVYCK0R7JsPZBNnb4rHr/V0t45BJjlQNZKEB2tHrg52bIa+OmPsYgPEzsG9Ka4FOr9mGmRA10rIc6bBpPJQCAcTCqClX/nu3DhL0ZZDnytBPkstQMdp1uvC2260l2POgbwDxOH0GO9bfWnU3iURQ50rYS4bhpMJgOBrngQ6U76xDnfSZ9A58ty5KsliKNWD/yE8PpSz+Xj+lIr5w0h2thusJDVjaUvG9ZtCmR8ZtZIKlUIN/5LDtC0kiJLHgi8FNeYrKevb0Ei4BEAtu/Vsf+IZOo8LrGCEqmg7mXD/DV/d8Q/rbEzIt5pxfxeTvb14arU7UgrRFi6FwSdrpuauIUMtLKE0HAiIutbAN2Y3KVdUSWt8dYa3GzIhfVVRco18XY3zP/WEsQuH1UFVhcEdKw67T98dQMsU1+P3qeFZHyLyNECEgtJGNwRUt96NuQTuWGkoDK0rgawTHMMPw08yYac8j+iRIIHC8G2Pa7T0N9YSOUmDrslPRZ5DQUnyC54cD9qNbUDZtdfCjquKxqZYp7xa5y/HPegVwMyPcIfTwh6s1i8j79Cof/6z2Cy/Q6KyA9hGuSHMBv2QxwIrFaq63VqYXaqU2W3aoj4pRrM740ZD55WJ2T2wD+jJ9J64L+QJPwIyejFjGZ2giyeOMK+ugbm4jaUv/uh/PMcBT1rqzNHR9/cdJpsVh1hv0yD+H1w5cEz9qK0jf+OgP96XlIL/NfDO2rgb7LxV0T5qwblrzaM/4HAarpiRJZcJR6iU2W3aoj4pRrM740ZT56sRhhtvvPHSCbVyL9X2mNievr6CBdvhoKsnhgivpoG4WI2jL/5YfzH+hjc3lgtuVPrrjpNNquOsF+mQfw+uPKk4bjxhQ38DwRzWKPElnrJCV9ds+OyemKI+GoahIvZMP4HAqs3jf+9DjZJhXfKZLdqiPilGszvjRnzX73lOSN/7AQd8Su0kIQJAdNT1yhtJrfjsnpiiPhqGoSL2XD+6ofzx87HQD9hC5ezF9HJKyDcpbZS32nyZPnqHrQ7Uj8QTFyvTlIKTUipNBdiZlxWPwwRR02D8DAbRv1AYLVd3KHQOqvDUmbQqbJbNUT8Ug3m98aM+K/2IH7WFn98yVP89GV0ZEZoQrAxsYRHzGX1xBDx1TQIF7Nh/M0P4489X5H/+p7wh1x0mmxWHWG/TIP4fXDlpbJ0x8/axxMC/uh7hKY/rQe5hKbfZeOviPJXDcpfbRj/A4FV9KTCM5Nylc6B6FTZrRoifqkG83tjxkul6xm5cuC/+rEtssWibcvCj5DVg7q508V2giyeOMK+ugbm4jaMv/lh/K+2dQ8yJgfv8Dkx2fg7wvxNg/A/uPI+gXu8xZ//ALBev57V4g1mwpRRZO+ysjdE2JsGYa8mlPwBwObM8dO45IrpQ9eosts0RLxSDeZ1pMXUl7IWW/00co9UsT0E22E9ZGmkiVGTmXFZHTFEXDUNQsVsOHv1w+nnyD0P6RQId5WduyHCPUfiO0veF4O9wrHRPxHsUWlV+pGsp6+RdOhXBVndMEQcNQ1CxGwY8wOB1Z5jHylhJ70r7G2z11twRyuauxshot1mOmjXNWgdsa1fyOqkuJo6Lxo9qxmX1QtDxElVIATMgpE2L4x0W89u+PYteUg3gFWabEYdYbdMg7h9MOU9cPmOX7GPJwTsM21xcPo5xc5UkI2+IkpfNSh/tWH8DwRWS45fwyU3iYfoVNmtGiJ+qQbze2PGeyB7iu06Dov0Lt9t5Z97Fn6sJ7cpnUe247J6Yoj4ahqEi9kw/uaH8S+9xW/fkmlruek02aw6wn6ZBvH74Mp7gDEfUSP/A8FuXEwOuJq0GtEWzLisjhgirqoCYWIWjP2BIOZXjvFImOEI0wYue8wNkV9FNZjbGy9mX9Lb9pmneYCtraf5idDW0/xF+KS4rI4YIq6aBqFiNpy+uGHsEybbQmuf1qDxCq29yR5yQ+RHUQ3KfmMK8nOst4MeSp2tO5HHy8Qc2O3zRrPXt4xZy341THRNLD1SO7cGERdmSh1hR7wGuzrXM9pbjNeJPIIf66u5uq5zLGOXl6DJDJ69obmjpWOMt5t+bPbDa4ifBzPij1V7nkKlESlOGqBysznPR0RoXpQOVbxNaG4r4H1D6qA1yoh0WvmcqwdaJ8m0zjkzjmV2k5f/adD0qxZYHeOM75YqMJlNoIIgjTd+LaMrNq36BO2G0OTPKf/jKnG/3YkmoemI4+NTZA0PK4WJTlpNnMWhid81kG8gs5RhdrLBN0wdTzz/I3uNguOKzXSegacfw0K23lr5MXYkhLVMGkJbWGUe3sIqsodVC2jQVIGFlU2EsLpRR2j7hf1SF83Q+0/J8vuL/9hawniwgoPXxh7nqUqK7LHwQAsGjqzmozl5zMPn4o6I7OS1gBKR+iaygcBdnHhEhKbCLZyVdt54vFkO3K2E8WIFB8+N+3pk3makzkBgnvqMzGV5zdwQ2ZlrAaUh9U0k/YG4GXRgYAnN9GEPdw4GWQ68rYRRYAU7pZ32aqHujfeVEq9DOnLR6o2ZuVYrdocHXmRnrgWUiCowmU1E7uxGJE+LxcYd++qDSZEjdy1hxKj+wTNyr7PScsnHE/KIyIWjDWpGlsvVDxGNuf5ZSFhtl0m/Ew8WHbnpG6IacZaiBIssO3MvYS6zgoPURv1e37A6IvVxZz3dpsi4iaqYGQMZItwRkZ27FlAiUt9ENhC4ixOBu+z8UI33TRtrzaTIgbuVUF6i4OC5cR/YtLNRJyAyx/aaHqjz5henznKgLgWMqyhwub1tP7uZdIC+56ZwDdCvFCyyHJhbCfOZFeykiPh6HkqtYTtWQGiz1fJjjRjGhe1XdcqXp1FvXrc+oVuElpq2R2XpjGDVJvsGqoVgAZK3Rk85rHqvPlP3/WF+TpCmgVyU7WZeXg8arj4W72mmbTDzvpCdBHIHX3TgOidG6OXic/NzfejL8G2DzzJ3CoPVluKxHbBfP2AakQhOerfbdpwBWf/IKcbsE2Q1O7QTF2v+r0GkAwKulH+I5cn6HjY6StLpIMOs6yMyapD3H/P95W9e0PGZ12rd/vvL9fqXP3fEdS49a/D/bWlc7w4lDLjWz4YD/Aph3IEDa9mh1ZzSwvkC1qOy/hKBzg1BhDKfXTUtlUakwRIDfHB0dSwdenwOrXith8+guVqT0YfbwoNyr975N4pMoxbSoU7rbfNGzLqzegqGHEzFW7dF6IQ8d4oFCJsvWbcEKAAaoABlORcqSiQ+bkfj8wTBdB3YOxmqrSa+xMAHwGw7JP6ZFmOwk+RTquiS9y0YZX1qe96CUVbn/kpBF46Z1mDMZfXHEXbZVQgpN2OxcGcsFjnRRlavllc1ZiGKA6C2A8TuuRbx/6QtJ1YvKNhicUByenTEuOLwZxoxGA5YNByScJgWDYdZsnCcEIwPGuSEaqNIFFWxA2bcIXHQtBiFnSZP3mEXT93CQePBLRoNB5RiQ9J4wcuNBUAdChA77VqElhmyYLg3FozK3yWvVbGrKL5/AVDbAWL/XIswOHnz9PV1i8sWjBOiE6YJdl0XNtWUFqwFQD0KUJZTpapFeLklC8cJwfjqll99q5beYpRdNtOGiHemQv0/OHIs1uOTyxaLsYbnKW2xGFh6D6rGoINFbiwA6k+A2GVTIpTcjkfCvPFIrL7MHRuN3m/KuOahcMBi4ZAEw7RoMA7evKJTMEOxBeOE6ADqha6I68KR0hZb0ACoRwHKcu5UtQgvt2ThOCEYL7QdJ1TL823GJyMAZtwhcdC0KIWDJh+DXU9Q2xuNSXvjQjTyhS1noblZQMNAyoxFQByKUOZTmKZFaJkhC4Z7Y8GYVzpiiK2dsdEIgAXDIQ6Ga5FgnLx5oRebgLdgPEEPPm1ae4wGthbnGA0HLBoOSTRMC/MKljQcTxAZT+ioh2rt3r5UETDjDomDpkUpHDR53R/n6fIWDpzzqFsbmpGcKX6cOMtKCH4E1KMAsdeuRXi5JQuH+2PhSDgBGJ6hBTQhIooDoMYDxA66FqFwMudtILOKzx6OA0I41qPXQyQzEg9d0VoA1KMASThMi4bDLFk4ToiMX0cUVz+m3lGxA/ZbOCS/l2nRX/SgybuC0InfooG8En2PRl0qU3he1jiPMtm5sQCoQwFip12L0HJLFg1zx4JRMPAIjwvt/Ukl6A2A/RIOya9lWvT33Hnz5rCcxWMLxglho9Z67u74mOH8ao4NRwDUoQCx065FaLklC8YJ0S4x2pkdqq1uTI+vYADMuEPioGkxCjtNDscaMV77s9F5n1EMR7/peJzr6uu5G+GLHgH1KEDstWsRXm7Jw2H+eDiwFztGA9vOU4yGAxYNhyQaqkSDcfDmjaOYu9hb0RPCJs713MUR2wJGHLEFWd1xhD12FcLJzVgkToi2jw4YDNVWN+aOIQ6A2XZI3DMt5v/OkTcRcybEEIq5hn5pbzMmpy10VViG2trrAKhDAWKnXYvQcksWDXPHgoGUiVsMb8yNx9cvAGo7QOyfaxEGB2/eUD4mFn63YBwQgsGZi0IwbsplEoLhgAXDIQmGadFgmCULxgnRzvJGWdtCtSIxVMUOmHGHxEHTohQOmny+oPa3trUZBWksytaELqhgC49BSByK5XWzFgHxKEKZj/aaFuYVLGk4gj8aDjo2kAJUrjKxsOKKA6DGA8QOuhahcDKXwzODcivWftOBk49n6MFnQdhvzK290kkQniZR+RbmmDDgM6yJNg0saNx8WOuiZXUAtDOBjo9M8mf1WTOfNzogMl1kvu2GV3SURWarFFB3kSCAzl1g5wd3OzGh8Urngaj9HDTt/MSQj09hcxo4DmQ5ocPbBt3Id8cHqBzqfOYuF37IkBuIDjAPnrJgGaTKxW+Jlijr0x81mExG3l8MEU8eEanowLnOUaj5c7MC0Elo8czLGEPRclDe4zAv2jj98Qw9NqjKSWyxNq+xeyRAjISVEVqmxGSyE0IRLGu4Jk4fhehOyr0XfgAGYiS8jP6KouQgeASCT7+FQLSr53C6XCDaXWXGGkZeY7hDCoRAeBkm5UpMznquXQPBzjwiIsexLLo98dFi+wUYiJHwMkZStByst1C0VCjry8cz9NggygPloUDiIDo/qKEQIIbCygh1U2LypSR25BEQZKsYr0Fpps2IwTADIRShjLqvWg6KRygmNq1sociTTpU8NmjgE+3WynrCagyFADEUVkZomRKTyU4MBTsTQ4GxVI2hmAmLISEUDGyhsDJGUrQcrPdQFF5n+XiGHhtEqVJCKPrgM9oWCga2UGgZoWVKTL6UxI6EUNDQKoaCBl+bYQZiKLyMuq9aDop7KOoaRvEhVINaplHtY4NovdettZJ2jwSIobAyQsuUmEx2QijEmUdEKjeAqrTinGkJhgWIofAyRrJuzagakiwgg/plDaOUwueQD4jygHTsVljQzNwCrq5rngQMSlGCFMaLHoBbMyFkOoBqUMFsTrtjJQsWWvq8x4+hR4TYn6Dnpq1vlGeEslvjCNcQ45k6WAsqmDMJHmulgyZ3sAZ96r41pMi9KM0ATuRgbKnQg1O8YBKz4aBebQxJgu0AcbrZBVU6zoi+4k1bEHaoUOdMoQVgERoypTEJ8pBmxBAsBabXoKJVaoncDAPoZGFpuxKEPNnkcednCN3UJCRoK5JBnwG8kqDAOx/NTtUdlEPQdEOBQE/AP/KxaK7V+RKDhVD2GEANSRiQh33mEJl0d5p3aNgBQFvD6PB0KwQV7HGko+MXBR2Tdah0/KI8rMjXW4j5xxOCH2Y9HznFHyYVmmLxX8YB+2kM0t/GtOhvo4bspzkQmMa7PLdKQ39QUWuAm3ZI3DMtSmDnyONN5EBuMRT5xmn9EWOxoMZvt0ALyPw2ibEIiEMBYqeDFqYVLGkwgj8ajYxNLqWGahMZlUKQA2DGA8QOuhahcDLnaZnVvtW8heOEMDlyT24OVddYjyG/XWItAOqRQ+K1axFebsnCcUIwvoZHd9qqzbcc9arspg0R70yF+n9w5Fis70avWyywe+eeWyywBagGKEuCX7cWAHXIIfHZtQgpt+SxMH88Fvk+QliSxkuCYYBHwyEJh2nRcBzMefqy0x7ZGI4Twgxio92drqs1ysLp1gKgHjkkXrsW4eWWLBwnBOPYJh/Dgf3XV4yzA27cIXHQtCiFgyaFY404lIaGA7uV93YDm6hTbDewy3rG2AdAHXJInHYtQssMWTDcGwtGRQLQFoNx0URKCIYBHgyH2D/XIgxO3rzqsTpsc282TgjRKIk7YBaN9eClFqPhgEXDII2GaRFebsnCcUJk/KZpaq+GpAJRr8pu2hDxzlSo/wdHXhBbXYR8b7FIyCSxNxtpXEER+iI9PoMBUG8cEodFhdBxGxYF98SigHxPPTwnGfdfzPgtccAsB4i9cy3i/8mZF0qRWWVvP08IgeBTM64L6a9mbDACoB45pLEwLRoOs2ThOCE6n01ZuEO1RLN9QbEB/kM4JD+WadGf86DJy+jr6Zlbg7GGq+1te0USdlbeAUrYrVlD7CMgDgWInQ5amJYbsmC4NxYMTMHW2MxctWnAOBgO+C/hkPxapkV/z4M37zcZQ1loME4IWz4GHfb3aCARzAh9vAhoNBySaLgWiYZb0nA8QQ85i11jtdVjzykqNsCNOyQOmhajsNPkcKwnaGxtRhqJLoOM4RjrwYsfpoQd3LG1joB65JB47VqEl1vycJg/Ho5Ujyiuaq3HcBjg4XBIwmFaNBwHc96aVafS0HCcEPZH1baNHBP2fNfQYEdAPXJIvHYtwsstWThOiA55F9pL49Va1yiKYgPcuEPioGkxCjtNPn2Nef8tGhVDxW1obddxmqq6al0x9gFQhxwSp12L0HJLFg1zx4JBUwrh25NoSiFG2QGzHSD2z7UIg4O3nMVOSsKCcUAIBk4oxMespqofKAmGAxYMgzQYpkWDYZYsGCdER8HrEcPVub/jK+iAG3dIHDQtSuGgyZt9YSJt4aBz1XvDkXkjv+vKLcucjlgLgHrkkHjtWoSXW7JwuD8WDsxEhqYkYSJye+YcMNsBYv9MiRA4ecs57Yw5kBiME8K+dEwOxXcO0yqxyXZZ3TFEPHYVwsnNWCROiM6Id5kFsmqTNu26YgPctkPinmlR/w+OHIvc3vbn4ippmwDA+Yk8timABdS9vQ6AOuSQOO1ahJZb8mioOx4M3F4Y+yg4fX3H188BD4ZDEgzTosHYedPRoo4L+cgfndR8gh50KLvx285TaThtdHFPBinzxytmUCZ/vJDEn454OcQOhUrs9ETqyrJF8Al6RH8q7fibA0vv4euBg01VJnQqH0/Hge1+VfcnVBKPT5p8xAypsnkaOnEqWZzXuuiZktnixwbRnDKgTNcsNr7ZLwDXxfmyFaDUHTgnttzC6ndDag+c/kudjh4ZgMNmyD5SQhkciaSGT7UYIHZWJYcGnQbBGbVEp9ltfnuHBpqTJwCnuzF1zDP7XQ67PSOVv0u4TaCDBWaXKcxX4kPWCYsCkGU9duIplKl+rkOJZqZpffoR+JeR8BXKefVxAiHA+aYL7zzAvMYRAszAFmAp4wEWLQ6wnRhgNx0gysMTFBc5FmjGGXh/CQ5KGWPEOnaCMQi4jbTMEISMfNcpBCH3hn0BbgMZREYPfggQg6BljI1qCcAU5w0SXx4bNPj0sCouvAfEjRfdJ+IOahmjyDp2xjEI2MlybUFgwIOAzSF9hCDIGqj7IUAMgpYxNqrFg8B2YhDcdIAanyC16F70KQi/AAMxCFrGGLGOnWAMQip0U6QHgUaUNQQB2cdbbG+ukvlUu/ohQAyCljE2qiUAZCcGQXx5bBDtBAjRrZQsLvwCDMQgaBmjyDp2xiEIFe1/C22CAg8H4mOgGyTMCQVCBKyMUmEVLrGFQD8YDRC1jkHruDG9HCwzEOhbGePCOnZqG/2rcJZoBW6c1h+BPnKk3qE1WEDa/RAgRkDLGBvVEgCyswWBfdmCwDuEQhCQMDLGgOQtBFzC+LGCnW6MwKjXW2gJRHb+Q1tlNSDbptwHASJ/LWNEVIsDZCbSN8MBoTTiQe3qs4zNNAORv5YxOqxjY8cHw5FNPMU9fxEqdCn0ROoZ2ro4Km8CRN7A3G/bVccHrm/ZjDt4+wlegC57Lml7Hg6QTzqGDUgb/TttZxfiIV7avBgB2eDodeTg73rgc+UzYXxEemC/EO+ATJwgH5ucCm8jb4038GEVL8W93s+AdjiD7YqJ4u24J+b/qhBVVthjMcMOR7pmevWK6hbGz6Dr7eYjTINuug4AMsauBsVV0++DdDfIs89bMDs6bMg5MUeNwPEz6z3Zdj+7phnId6Hf6sMRehTH6w1uvB5Kaa6wqjdqN/n9BfkISsmGdOzPoVzPrMFksfH+YggucFpdadNA14s0tyHy+4t5IYh5KRpOHsc96+nnD8fra5XvRqkbI4SeZ86vWFnudLU0zqAvf8castL4QYEVDGy/xoq5Qr0jI11zLQ6IJcRDIdzeuZos14L8jOsldEsCrJCYNwK5v6LlidM7/fgjT0qksIrR9MjHy7jXGIA2XV8ZO9kfL9hFfuMee4nnQrCceGN9HVsz8KLfGLNWugBroqPzeMGRzFqpVsf7+Hiy9UO3kQ8EDJMj+UbTTZ6Ozm8m7cIvg1zFnM5wlvB1Dd4xgs04nXcTlNc7flG0MPQib5ElalCplnlD5ZNFvb/bLpb/+xecpauNPY7/fv94/Xc/vfzbv0rXK9YyyhpU/fQ3L+CXV7uBEul1UDb+ZfQNVzf89PHyH7/8xteKsxSlf/nNr/gV0tXTl9/6+m31m1YvLi10RfDqvX/5xdf/9NNfvnzD2fiJJhf3f67B0utP/3mp+e2vK3rXncbdvvzOV2TIWD/fl9/9+g1n29Jdo/Zffm1lNXilffk9qrW6Rq1UFIbRUb/89d+RqdVypoEnbLP0+1/XSLWs927pQUyv+2rxn38A7YtzXX7AerlbX/9EP7Dm8Wzl3//0shqk9eCk1WL97AX1z69pQh7dkuPvT01cwjQ5TlH0m7fjLaBjVOjPtJdZLRXVPGvR82qtZaK7qOj0DfylQ5t866gitPZG+08UyZheofzqSBNYgow8KJnWvhgpdB9QIx2K4O4WWvsinQX3u5dud52q/G6eKfKw1IaKKHvV6XKVPecWH/HsERD2XXUqtzMeR6v7z/+UCbv7cGIgY+ce3TVkJ1UVwgIaztc6khMyES6ZMhKWINcbE0x05pKQgqOod6FwKnIPzlXMOgvWGHP2A7IKvLtzCj188lGhlPj+S9MbADZNMWVI/XtEiCmYYuX4FJn3X28rlFZzh9MXFxLsDG6G/vofvuLJzx1v6PrXmPeQZmh1jZK8wGm9wH+IP/f1soVX+Y/wV9zUwpXv1Tpbc7Xan0sbkcXHmqv1Dq64t6DZ9Xmj9z1tlbY3vyCw1lqA0oxeu0nXNXoukc5v/njTY0+atTw5T8p7dbQ8fMQ2hZaHDnJeI7Q8XkZbnrPW3vJotn5veVZ/6cLMk7c8pSD3kAGlrM8MbZXil9dlbXgU8YbHEW4kRKW2IWrT2x31y9ud9WHL3HZJWyXcrS0zWdsdi461O45Imyk6rU09ovFD7Y7t/PF2p+BVwHYlb3cKdsTgrJJCpeDmv+qvbQC06THI254AcSNhirUZMePe+piL3vqskExa87ZGC9cHYHeGtWoOaOtjkLc+AZIGVBVbC3vG59fc+mRc2t6fWp97dSHX13e92dR5qcM7QV17NKs9kNZn1ti3+SP8GUe7pPYaW1hjUMpnfaOlyVsqbyFCN+ZobrRJXA1LwLmN42nofjRxf8wN6t1XjyhUCS3fn3xVAoFLcOG38Pc1NrqXrh9urvzxtPaqNHAfZ3u1ClLf3Nurgs31V+wpeRltr85ae3tVcFXvLHwfcSLjdAnBHXVqGYzjO1t5snvoISs/Q3zg84ZWeSS6awa2Mye8cuJeaiJHNJ2QwF0svX5eSnQ9jQdWRzhh83q+c+P8sYaMfsnWdezS5eHuiUithdxIV/8ZgByPbavzhCB3IFdS28+I1+p0FPITwEwfnH5o0FZGTfyZxGIhB0QQpInkew5xZTIPxp4hqYcIFD5b8inU9Rozr/gMYaYlMyXx4RnxapjUwraZTyFz4eCnT8R3v5fngxeggpQDZXvwCh48bM7HaBXMCw+pFzCTS+8v9bo5PYJC/HJX3IKJc5YD+9kw0VcT75gvSF05EXsrg8OxNQJSaX+3K47o4gu/HlF8yZZKBAzXpgqyNNzrmcJ9f4JUPJBjlahYqOhBLp3PyRgyeb7rYUi9aFZXVVasMXS6ypWMqvxujimyVCAvLu7m1jrCXVVqKMTmuwdH/HoERDwXlcbsiMYP9UXQ4tOe9aW9oIVCLNdzhf6yQgjmamKxNVShFQrpQ1Se+gnA8vZCX8SgxbVwftcAFc56qYor3c0CxWJcgXd3USEKyQh1sLCCLT6m1QG2DCUCqX+PCAkH0moUz8j8mnshSHh+4UHABl/phfzpV7wQM88wx/Fb1EuYw3oeo335s6/f8GTWVr/8Of9zzKHjnfXY1H4Od1xzHI24ZuqqjDaW4Y7MYtf88hfcT2irH+B1/pX5INZwKq9e5xTN//QVO31u3NaMzofq4f7Eigc6Nwo6VekarU6SUw19sD8PfRAflly03rf653TZCo2J6LYdRR6OYEctvVJr/E0b4j5BGp9Tf7jmZ8Q0/23AysWt2yfWnj160nTq4QbveweG5aYG91u5MaQhJ9BGDEMeAcHaAq2TZGRExSb8z6CGHSsynBLln0Cqnd+M7/YSHYuyuekePHv+ZO1JE39pvIOQX/8DpaO9Xv/bzzmF85L00UJSX3mAFHLCyByP7VqxlEKhVGt0qiKWUshK/ToHMrhoYj2gOMkpLci/xotTZy8299lTGDzEaY1joMGjEx+T6BQsHtBWj+bkF+udvdf4uZ2zx+tbtNqY32LbabZtnuO+KSP2Gpivdpvv1orAQy++KnRXNqW/43OBCak/kl1zRVfYpvEqye8o0YjUQO4Emh6gXp2LWWbVdoBu1qJ97HS4lDIJionr7pKBT0+jdk1iKD7edPJZL/MqSEB80WVekRPvAxcnU7/4sTiRR0QKFgcoiR+lCekDY2HK4Yf5EJGJyk0dHCuRqDvtGkyWdCgn8ggIHlNKHSg6MURuwSrL7y/ul5Qwv0XDwWzjn/ks58cTEvjTsejp/OnQ+HRPRA78rYRwMQ0qs43A3606Uii9ounEofIerLIc+GsJZ1IsQWNgtvOfsvnpRCL/SX1is4NJueyOsBjY69+ViFY3WXYfnUgkP+laSCd/0wqEk2c5kpcS7jRrOGht5FejiE7WxxPyiAglK3TynWb7nT3Lkb6WEC6mweTMi5UnEvhjF/Kczr802qHoVlkO/LWE+S0aDmYbf6QnaDXyFyTwx7Vdszl/GQOYJzZWMV+thHAxDSpnSze6I4+I8NqK6cyUENKtshz4awlnwhoOZjv/NaJrbePPSODfeJuY2cG5xRJeQ5EDfyshXEyDcmMbkb9ZdaSgN+H8V+9ilMCf5chfSjgT1nAw2/g32pUS+QsS+SPdTaA/aFDo9IcMEp2+llD6osDEyiOXE3lEhPL2ukrsyQ8fHJEDey3hXrOGg9fGHtcdbF8+Bh4RaBhumRVknGjhKRQ5kLcSwsQ0mAwTgbzZNCBT9gzXmCuOZ7tNlgN3LWFei4ad1kZ9XNQ4fjwhofcxLmowE7Y/rK/mkmlmYcl0W+KSm5JPNEGjSML2LOSiEJ1ObVqjvSOR/qRjW8tKp0WVvrowTB+JrVX0XlNfj/kVHvs+O58Z23lxruVGBwYLtnyNwvfIbgjdI9spu4UgCdugkA8KmcBKjrLkUQnIxc+9alhfWxLFBInvLwdAJnntRytUnjYyfSabRUPEJ1WgPu+s+ExoTjx5pdxPBAOtTFv3FVkynfZUO0EWTwJCvroGouImhPsBwCROBN5eIeFqQlenotlTQBzS2ubwRomJr050LxvxHaGBdqa8b6ZHBt5mx2RzxBDxVDUIDzVhxDeABrW078krJH5cVZ/JZtEQ8UkVqM87q+MilDVk+w8v6WeHngkXBBVaT0v4hj0jDz/BuqBGHbv7vugQcMGmkxyOqxZsHLmGjlBo6tYr8XH/gpuqWpR5WwfV2SEajNHVZYDoXr1gSr667ox9mN3hi+4NtHO6CxjszE7Sbl1mjwf94+MZekTolrOp3O/8xml3Ko/eynAgpEe3Mpoe3bQ4MOzs9QE9NkgOvZriIYdezfiQU0rBQS3jrPQk8U5zD0deg+vZt3AI9Nigm74eZi3z5lP3KOtuVPdayxgv1RKAyrnFnqDHBqUtVf0af930GXbjDMRwWBmnIFoOmns4cC1LqVs4BHpsEH3O3Bque0kzeCRADIeWMV6qJQDZBh87FMNRrluMq+Kr0ZYaN85ADIeVMQqq5aB5hAOv3/50CLSF46YDsMEaH/4NHjGwhUPKOC/REgCytIXDjDu0XnbtH7Hi7U0px2tStnfEKh/s9ijU9dzmskVBoBiFikxhLURB1gHcF1u4cGe1jNFRLQ6wpRgFNx4gfEqDXqzgbbYZiKGwMk6KlRwk92BQEvMtFozEULRMs2duivKa9+COADEUWsY4qRYHyFCMhJkOSKa5Kld7URq6YJqBGAkr45REy87xiARmsvMeCoa2WNxDWi81hn+M6BADWyykjNMSLQEgS1swzLhDmOpuMRrrG5A34wxs0dAyRkG1HDT3cOA8Qt0/rAI9NohS37g1XA5X4hsrQAyHljFeqiUASZq8E4rhwBahK9xxUnAmtm/GGYjhsDJGQbUcNPdwjExGP56h2PFBxiye58q8FIiN7je9KQ1X/xRs1x42sXxlh2goR6uLotd5IjPH2B8OgR4btEjDEm2AtWX4hPTBuToQ+25IApJ64D5w8XF8U8QZHqJVmiv6Rrst+FU5oQcPgEpxaAFTotNoT0sEqjytAbqwRydoqYM27rolBt5fniAYxxHoHqvxEeig2AEz7pA4aFqMwk6TBy/pEp81HE/Qg0dF/CgwROOi5saCLP4EhFwOKphUMKOxeILoYiIcMQ61Vp+b9uOZXgfMtEPinSox73eGHInVxND7FiJxQA/eeD561KVrh2bMAXPIIXHatCgts+TBOCAYH3zxRah2yROuih0w4w6Jg6ZFKRw035/21vz8QZ6MbQnj9ubj4+UpEo9Y6m40TKWdu7oM7CPoA6GlYjQ+Nhit3Fe0warLOpx1hAe8qoCHw2ZAx887IPnuugGUyS6HmQOX1aAj7JIpMJc3Tpx5r1Ni+kB8UIqjSHxw0ltTs36tK0wduGzMDRHmqkGoqwmjLk4o89qxMc2K9xxnn4Js9gwRj6S+Orxx5PyLq2RukfeBIAFivXgOStS0SjfhmRWX1Q9H2FPTwETMhPLeAZgstHfTK1zb3JPLZtEQ8UkVqM87K+KOzdWNJmpuvTlnR5CI87rffM6qX3SbRsF5vdWiL3kwL4zeaCu3aUg0M5gpmQMUrEa3w/NJqX717/B8R0B+0pSFal1ylQmngm2KyPUQ55tMAW7WIpMFbYcF6yDF1NF7Xo7jwljaIXoij4hQVpzcEzbPvBbLLrpaJZyvEZnIc3ishFg2DSYPng44kUdAOk1Fu85OHS232qUv5n5pCfVbNezMNv7oSlMC+xMJ/NG7jvzbHdyAEJjz34SCVVSZVQfawZghlTa3m8I5+ACS2mM50LYSRkA07IR22hknaD9OIJJez17ugXSiW0ncD5YjdS2hTFSDyplP7R5A5J4pq7Nr5J1PblOv9XCvtITREA0brY06xtR03vtEHhGhkxlmBkPdu7kjIgfyVkKomAaTGx8/PpFAv2JxwdmjLa93MMpyYG8l1G1RsPPa2Jebdpp/PCGPiLSNfbnprk9zROTA3koIE9NgMtkI7INVRSYljXOdmHXvwSrLgb6VUL9Vw85s55/pBP3HExL5J27r1QzWIcIbKHKkryWUiihQkS1E9m7TENra6yrzvbNnObLXEsZDNOy8NvZ08iSSZ+ARgQs9I7OSK51jNj9EDuSthDAxDSaXt+2nd5sG3Pi8uUZs3QnfF5EDdythXouGjdZGHcnW+IjlgTwiQltizQw2OkfyIgfyVkKomAaTO4/9T+QREezEdpU4NRZskhi469/NZ669k9qpJ7mO40Qi9UR3kroVHLIewQ2WI3UtoTRUg8lTm6sdidRxnUTkjl17wSiJkbv8XZ3W6jutYzns+vkRk+3n9AHnCdEwhHbV+GhNU2rbeC4AOuYLEI8LXYuMHN2SDThPiLactn2cihOBZUTFDphxh8RB06IUDpo8FML2ormFo7YuNCwclV9C14Ud5dGYy+qPI+yyqxBSbsZi4c5YLPBxrbFWnTL3pXodMNMOiXeqRL0/SMtdo4U3A3skTojuGu2Ui9h0oVtS4kxEANShALHTrkVouSULxgmR8YtPSlq11IWIKnbAjDskDpoWpXDQ5HBM6nDA1s15o54gGr5USt7sHk1OhruAzB6tNqzT714mp+UIejhpVUbnmcOBO7AwCrqreKT3Zj1BdNdoEiKsegEX3aJacI3mnH7ZaAyr6cG8od8t6iE8WNrwERcclD4GZ9Z7gh4bVOm4ab8yHbJbALIRZeTyy93k9xePl5UQ66oiAINT0T1BjwiBcQm/Q791MKqmGaDGWr2TMu6/aDk5HrHgKw8/nqEtFhc968EatvyU6BEDWzSsjPISLQ6wpS0cZjxABQOioBi3yWzGGdjCIWUCK9Zy0tzD0Sodbf54hmI4Gk6Z1RCOViiRkHskQAyHlxFeqsUBthTD4cYD1OkMpSvmowLBOAMxHFomsGItJ809HHU9wNILO6DHBiU5/C7Waqcbut0jAWI4vIzwUi0BqNIZO6HHBk0aRbji1aKUFo0zEMOhZQKFKaOZneYRjmvIV+WEtnDw+a9gDRlLR/SIgS0cVkZ5iZYADG7Yn6AtHOniO5tNcSp8Z7MZZ2ALh5RxCqLlpLmHY43g0M37eIYeG9Qo9YFZW0Md6gaaRwLEcHgZ4aVaAjB54fcJiuEouFB2hHAUDH+ibZJjMKSE+y8qTo57LHAZBu0qeIJiLDJyzoVQZGQJu4M7AsRQeBnhJEpcZjsxEm46QI1rqVpccbuZZiCGQssESu1tl5PuKQjgRfdffzxDWyiuSxogMZa2pzTN/f2QvyoZqRyAIjM8J7TFYD3FeQsClrPih1WALQhSJnjOWk52exQSkt3tH1aBHhtEuYNDFDJlCg6BYGCLhZURXqolAF0Gcyf02KAp1VRxLdLxUOMMxHBomUBhCoWd5q+0Ftb6lJRFrJV6rOqMpRbBLuqevdRjzxFYGtIA1HDIczVo1Hz4AUpD7Ngl3Y2IVadnxI50muZnJBzydEwPeX5i7dmjJ02nnu/JJdGuTlnX7Wjnaq065aW245CO2ClKuyz7M8iOIrryT6AfOdoZaunRzs+cevb8ydqTpl/9aCd9YsicHcd0yAlbepxQSqFQalA2vq2UQv9fHO0sBYlX9rOd/zOdmZ5Xr1/+wJJL/XZM7fIndO6Sss/4mc9f4uh36xVJ/ewsJu2+nZ5Y6eMJeUSEfjfaTkzzQnz8krYg07SQHsdcLVmh9U8rsR54SrWjGkyW/cIn8ggIZtZo0ol1yglMs2onMs0vLyF+q4adGV+JKlhCppFIn4FHBPiiWWPfKdufs2c5stcSwsQ0mJzeWiTvNhVoNLJyjY2O1LjNJkds3CsrIV6rho3WRj2vVrelyF2QQD7jS5SdfC582lUdETmQtxJCxTSozDYC+2DVEDrJ4zqRij8YzXzIxr3SvysNqb7T2slPOj/z8YQE8rgC++pOvlxZJmPZD5EDeSshREyDEptyjudEInnebObksRstBfYsR/pWQpnknb9aDfxLL7wMdyKRf6cTBc5/XHTWxfizHPlrCeWvGkwuvCR2IoF/Wd+LlJ1/wRmfFqyyHPh7CfFbNezMNv61UALLjyfkEZFKR17UTi2ciE09ETnwtxLCxTSYfPEKxokE/rgzKA/nXzPdg+xWWQ78vYT4rRp2Zjv/OU7+jAT+DVsYi/NvONLhjrAY2OvfhYhVV2JsIJJ3k4bQNnMnP0NLW/kybaM9w29sFXc2G+eGXOElchYkckZO3sh5ZD4Br6RZjqy1hNJWDSY3Xq88kUdEErfzqhP5v8M7L3Ig7yXUb9GwM9v44/JoSrd8Io+IdNoSpXZwCU0PP7rIgb+VEC6mweTMy9UnEvh33N1enD96WVf45UUO/L2E+K0admbCv/CZvfVAJmnzN4T4r+fHjlXSYaqOrVoXxubLr0TW5Fwmcam834mRJQ/EWzXSUtnAEUlrrDcgcp98L3jOvEuGD1k6dT6kGakzYiTkYOdJiql36pv69rITgSOrI5sdKZRzd9hWriDrdfaO0A4n10BbotyE7JA6ALmlvbZQofAGK9Vnslk0RHxSBerzzupXO5FHaUNSGJp+Aj02iHcTXtgAxsfr5HN30UMYzuQVXB5a9zL0ILiWAEgWzifoESHJ+uWK+QxeMK6H8oKDUsYpiJaTJt8nb+C45ek5oS0cNz/Bbg3X2N/RIwa2cFgZ5SVaHGBLWzjMeIDkpTDFgy4VC8YZ2MIhZQIr1nLS3MOBLRcpbeEQ6LFBnKbNrOHqvRl/IAFiOLyM8FItAeh8mu4JemxQppxxrrjQrEswzkAMh5YJFLJk+d5p7uEoqUjWzhN6bBCfsTdrRbLYmkcCxHB4GeGlWgJQtA96QI8NuqSaKr4497gbZyCGQ8sECpdQ2Gke4cDdsHMPB0NbOJA5M8dw3Dd3Ys2j+9Z+rnltZZSXaAlA4m2BT9AWDj6kGxTjkG6NxhnYwiFlnIJoOWnu4cDCP0+YnFAMB3YD3CEa2IiQc3BIgBgNLyO0RInLbCcGw00HiFLGBL2Vs5O7bQZiMLRM4MRaTpJ7MGjdv27BECgGo2VKd+XWaDPADB4JEKPhZYSXanGALcVwuPEAFf7CmuLVo7riqyJADIeWCaxYy0nzCAf2KfY9HAxt4bh51tat6fjWPGJgC4eVUV6iJQBNGsAT2sKBiw7iZxY5eutmnIEtHFImULiEwk5zDwduFer7Z1agxwZ1mlMwa7ivqManQ4AYDi8jvFRLALI0gCcUw0E3GacQDly0POJnVoAYDi3jFETLSVPC0fkOA2zyz9KQ7hCFY3CSUjlvR1OON5/RI3coKZid2CNaAz0Ng6irM4drpdQHNx+tw+UzXGmHYixGQnrvV0qPwGfb+Pidx4LP8MVQMBII8cG/J4bcecddvdvupycI/rTOQRRoAVOM8eaiCMgGpAjRDpughXflBEu6TecJgvFKZx5CtcrXPbtiB8y4Q+KgaTEKO81fZe2Jenfy+8o5LF8DsXNYoVQ4h/XjCb4VSrgDi7N5O5QlZ49kUKazoXQsCRmUVaIMyrzpSyHLoHxzXh6cwU6cQZluW6TshEMSJnOZGyeQUkSk1lMKZdogscZVg1MqVCQ9QhIvQZD+uNBWSUXqxAVmuM68Uz/IZdwNxSmUGcl4nBMl2VUk8W+gOnNaz8t6ztWqyu/mmSJI1IvWc3gdYW86VRar7x4f8ewREPFddBq3Ix4/mkSZFoW+pb76x/RBq8iDEhBE4qIegkF1Ylq6AKBjYUHG3BXHU6CMxou1GILtR/gRRG1ODatDr2pZ5Xd3TyEKx42we61E1yMFvQ6QaUqhzIj694gQU1C1xvGMjL7I35vMvWJnD7IL9yHpAyv2D97DoUeAxqBblB9e7xmxakc659pw0ct6YdAmU8KuSofabkMeEaHj3o9Y60T84Wv9ehJD+ZuS3X+KmF2usotlciY79+EZ0So/u9K8Os90XGOFLGuTgMXYK0CPCKWpkFV8hvxRaYWGKp9CoSIn9Poccies4icQNhqX3a9PIK0oy9v/slTeTdJE4UKgobeqYYNT6/H+tJDLOlyG9gu6hKPlEZJr/z5WdVMaM5cvf8yXdNQul3B8W89G67hMYku57ZX/kFeB17fuy7+hy4tarxH0vN/bhW961ccffurFX4S1Y9/YQPe0fDwhtNVh4uujSFmRo74R7uwbm5xkjGYIzmHSaTTRsLpMDXPgaoPl95cTIauJRmE3OgpYPk/UWrpOldcXmfY5BUT8Ug2ZTw4fzKhfhu3TdW78d4QuEukbf1wiHsyYqOwVUEe1upJXA05+R2DypjtLvM7Ns7SmU2UPuSFCXjXoj7bTIvL4gLbIfQdwZQXfve3U+6CBqHE32cgrkmjPuWsQJmrCyO8AbK5X8Arx6uu5x8yVaVTZbRoiXqkG8zrSIuo4wNu35/5A0Okr3LVTNaPQIbmCm0z4DL7K6ogh4qppECpmw9gfCKwuEilWSfSLm0qV3aghzF4VqNc7L2Y/KQtcZL8juB0F+z5CEO8rb+xdVkcMEVdNg1JRG85+R8Ae2bzD44K7Su8a6Kvs9A2RX0U1KP+dGfG/cXiGuE25Z+dAwH89yNmAcuPGsRTom5x55dQAZS/1kc8IitUAy+8vJ0K39Ew6WG91Gl0d4ypVNpsGiFOqQJ3eWRF3ugw4Ut+BB4CGjXCmZRa6+tqsuCxuGJAoJ4LVFxpqwJjvwIOvVCoz1Mh0vsQUqmgGDRCPtL55HCkx7antofHeEQyzsOWjG7JkOuKlZoLMfjhAfnp9paEWnPmOgPqk8/yhTqYL9pS6ikbdAKGu9ZX6zgrc64VM2j1wPxFwR/btyH3QsF0/nkFW7goId63PXyi3wPL7y4mQTboh2Os0vo1IVapoJg0Qn7S++ryzIu6pcGuo2z0PgAY+g1YqBVndM76XUK24XHi7gCPspykQGmrBmO8ATGbKYuQ1Mo2GTaGKbtEQ8UkVqM8bqR8+tRk3b04Y+ARCryRdvBlZIJoapotN79qoBQhApuT2ASmUWyEoKboVRQ0x8P7yBNFmUsnzdBda3a9TEkGpXgdq4jmYCIl7pqSuFvX1iSN3CUdVDhaLA6L73TgTlIUC+QxntOWAhsIQDYXq0EiYGY/EAcEybsiOtfrQYIlaA8yyI+Kc6lDvD4LcPaySz8kDcULortXGydFUV6+DLxdTYwEQfxwpNzUirkRIuSELxQnBdhk82WjVSuHpSFNsgNl2RNwzJUZgJ8ldputWEhqME0L3Jcl0serCxHLhwHb6VARAHHJEfHYlwsoNWTBOCLavysdyvVrSgIliA8y2IxwMV6IEDpIcDKwfzj0YB0TXLU6eXTddt8zPWjAcUIcMUZ9NibIyQx6MAyLbq1Mca3Vaxgl6DTDTjoh3qkPdPyhyV7JmPlt7N+rtfjxD6NkhZ16ASMWowVgA5FxHgMRn11I6D+bMUpFcBU8Q3XN48wKPVcO8YHxLHHDjDomDpsUo7DS5m3VNPo7s4TghdHoSzRS7LlzFXqK1AKhHDvHJkqBFeLklC8cJwfhFa82xWuaFIVNsgBt3SBw0LUrhoMnhGEN89nAcEDxC4rw76rorpz00aw6YRwap16ZFeZklD8cBwfjgCddQ7dKQiWID3LhD4qBpUQoHTe6I1srnLCwcTxC6hVXyjgu0+n2yHsif7SiLQwFip4MS/ioGQ0XSPj1BZPviq8CsGpKd9ajYADfuEPtnSpTAQZJ7pilxxnU7aPMEoau4vg4BqdhL2KbbCnLlDSwBEpdNh3ByMxaKE4Lla7zFAGJt9KpRrQFu2iH2TnWY9zvBX2UxsGLnG91XiqlBysDk9z+KK49YijeCSVZGZCfH+EhOe308IY+AVPo6LrnR2GZ5QcfEkV4dzabI77gbLvMZMi3ReCucaVCZbby/nMgjInwa3nQWyqfuVlmGDvXLSigT0bAzo0OQgtHQtfTAX5FHRMii2qkXJ2tWT1R2/l6CubgGk5vc9X4gj4iQdefPC+7On+XI30qo36JhZ7bzH1nv9duRyJ8v7HX+qy+y8Wc58tcSykU1mJx52upEIv9OF8m4TlxNO4NVlp1/KCF+q4ad2cYfY1g6MXQij4jQnl2zg0VbnC9VT0QO/K2EcDENJl98fOdEAn8sRM7h/PFuj2CUxMDe/i5Oa/Wd1kYex4RbjuQFCeRxtngWJ5+x3cNfQ5UDeSshREyDymwjkA9WDaGEwq7z4hPOZvXSQ9Dml5VQJqJhZ8b8ZYUYZ8W7XGq5IfAEmfAADMpBlXF9Nckdx8tzp+0+S6ySUwTnzCs8Xf/F6n8elIynomK7g4LeeGfBiZDNggas4r84z4+kZEuXy0g32U1njODyB5locqNDlssL3MH7evIi9kjzlhHDe2CM8/GEIDcUzhokQzJOmV7QcxfKjujyxbcRO8KWXIN4YjZYfn85EVjFVVQ91kk0rWM6VXarhohfqkH93pkxf9zxlDb+O0KJuSY+0KYHqS5ycTsuqyeGqK+qQbmoDee/I2SVEpx4nRvTE65SRGevgJDX6kp+pyU5iQv6g4H8gVAaroGmw8lzTmEnb7KRV0Q8NQ1CxGwY+QOR5F9XCBj2wvYUdKrsVg0Rv1SD+r0zk+TEiTbYOP8DoUzBFcsJpgdZcMrtdlxWTwwRX02DcDEbxv9AKOvWjT6T18E6Vgs6VXarhohfqsH83phJvi2aR4j8d4RSP9BcpemR3Hpmx2X1xBDx1TQoF7Xh/HfEUxSHOvkttCcqOnsFhLxWV/I7Lc580aV1NPIHAvJD2lwlP6RNVvImG3lFlLxqECJmw8gfCKx22lzsdRqPLUynym7VEPFLNajfOzPiT3nPtof/QB5AthYz4/hRCw+Zy+qJIeKraRAuZsP4HwhZvTb+WK29ok6V3aoh4pdqUL93ZsT/vuhwTOB/IA8gNAVreu6LNlmbHZfVE0PEV9MgXMyG8T8Q8F9d9xpjtp7mKzT9Jjt/Q4S/ajC/N2bMf2wN5McTAv6Dduu6HnTdA30Vjb0ASl6rK/mxtervLycCk+gAxYCtRzmHh99kN2qIeKUazOmNFpHH6uy1ffkOZHmCna61up5ZKW2G2XFZPTFEfDUNwsVsGP8DgdVC2kOda+Nvsls1RPxSDer3zow3oV80+eL8TwRb0K+bu5OMFNylcftLFmTxxBH21TUwF7eh/E+ErF40s2L816NcwsNvsvM3RPxSDer3zoz5DxlKOP8dgSfLYptBz5jByJgb8zEDba2otFW1094RGOsyltE66yEuI+hU2U0aIh6pBnN3I8Q77gvdAhdoHwhteS84Emh6UuhSq6A+pNAh94pCwVQb7QOBsUJZUUOdHPtOLrtJQ8Qj1aDu7oSINoZ7ZXvaD4RyJ9ENhqYHA9cUnnaX1RNDxFfTIFzMhvE/EEpaVDAcDnUuDExdp8pu1RDxSzWo3zsz5j/qyX9H4Mmg7fSuB4lOwy/vsnmiiPqqGpSL2nD+O0JWLxlJS501Vgh9R5fdqiHil2pQv3dmxB/D0Y5nZiY5KHEgyIC0npuLEL7YA2n0qBUxuTE7rrE8KfWWTubNGdFNZs9KrZjnrIgTr8kdCKzWjPWFxZduJV1eDJ6gMFn8dB2rdSd6lbOFqDixvfKgReTrlbhHNm/OnHoiSO61mkgyOyuGakEmPQUX2rAbN0/uFoxouWdEYaFk+dzDEr9mlrG419gQypfFKwF58t0qLrMXVmPS3Sqko3ITg00MCLF4gTw02M92MGP+/ZKBoT78BwL+vcbBMiX7rOElc1kfQ0PkQTUN8iCbDXv4DwRWG3bDeZVW3uJnxGQ3aoi4JQrM640Xb9zI42B/IA/bmWx6MGCt4RVzWR0xRFw1DULFbBj7A/FkcaFOkqZAdKrsVg0Rv1SD+r0zk73MTV45478jtJd5xtFiQe7AFl5kl9UTQ9RX1aBc1Ibz3xGymnlOUOvw5mTXqbLzN0T4qwblvzOT7czlbfvg78DDNic7+3HJWFHYm2zsFRFPTYMwURNGfgdoO/OUTp3U4M3JrlFlt2mIeKUa1OuNFm/IKJcMipX7gdB25hoHipR/Y4RH32V1xBBx1TQIFbNh7A+EtjNjj5NXoc3JrlFEN6lAsQvPW3R5IyV7maeMB436jjxsZ7LpwUj1Dk+9y+qHIeKoaVAeasOp7wjtZa7SwdE6OU4WuuzsDRH6qkH578xkL3PH5zPwPxDayzzjGLlgsHqHjqXLxl8R5a8ahIvZMP4HQlYz8ul4Hd6d7DpVdquGiF+qQf3emcl+5ipDQuV/IA/boGx6sCx7hffeZfXEEPHVNAgXs2H8D4R2NU/U9Tq8S9l1quxWDRG/VIP6vTPjPRWrH5Dj3MaJPGyfsiK0LHv5cxZk8cQR9tU1MBe3ofxPhLY2j7gSoluVnb/Kzt8Q4a8azO+NmWxu3lrHjyfkYXuVXc/oMl4U/iYbf0WUv2pQ/n1r1d9fToS2N9e4EqLblV2nym7VEPFLNajfOzPZ4NxlbKz8D+RhG5ZND4avyZ+zIKsnhoivpkG4mA3jfyC0sZo2iHkd3rTsOlV2q4aIX6pB/d6ZEX+sd7bt+T+QxwutgYaBY82Jt6OoHZfVE0PEV9MgXMyG8T8Q8F+tdVgMWvIIM4YmOnsFhLxWV6d3Wkx+JBkhGvkdAfmxNZoVY9cSXn6XjbwiSn5sTbvbcPI7Aqv9jishFanSRwo6VXarhohfqsH83pgR/1K1I02Lzx9PyAOINJqdMu5UjHZp9Ivk7QvHaJg9ymjylifI2IsTz3l9jvDS05IuLT/jDpElXjznxQqowobAaL65n8gr1kueWOtWt1ylhZCy6IcnztzilfaTGNNfgyRUwbZ2OuW8Aw8D8CyhE18qHcRcMqWIqEioj/ljkeGGRMdKiBumQd1iE+T4hjwiQjs2PeLXpDGdWhWZrLJfVkJ5iIKNVqSOgw+UB/EAAvWSaPxm1LF+kgN1liN1LaHUVYPJlfMRnsgjIpQGw3WuX6+3YJXlQN1KqNuiYKMVqV9d7hs9gEcAKg3c1cTV6S5Rc0LkQN1KCA3TYLLc+3kigfrFFw+4zkF3ibrVIbeNul9aQtxWBRutH7+KLOPUcUhb/gn0iFCn29hzLoV3c85O+SAX0Hk7pwC0+ebihPpWphbOYWNaDGBLVGmHHhvE1zy6Ys4eF4xrhrngoJZxVqLloMmbfwSsFzI1zhgOhR4RKjTDYtYWQGsL5pECIRxeRni5FgPYUghHNO5QkZ2Xqhh5VzbjDIRweBlnJVoOmkc4MMjqezgY2sKxPs600UitITNQTcEjAWI4rIzxUi0OVL4E6wnawjETXeTl4eDscSEcmmEuhEPLOAXRctDcw0HpOe8tHAI9Nmh912I0+uS9bhYNBrZoaBmlpUpcLnLNyQnFYCAxSUshGMh3lDfbDMRgWBkjoFoOknswMg7UtS0YAj02qNAF1WYt40hRcIjlGAstoaRMhQOXbpc7oBiLnHnd0/XiyGC0THKMhJYw51XFQVA2THbaVk+zzFO2y+4QbV7EZbnfasHwjHbuVkyafaO5at7NSOeUv9H09i07RifayW80A155w14itfekG2BNSeZsb1Rnh8g09dMBdVJTadtikGmVwNRu8ZwUkgXQWXMAfP/qSZF3z6UmpHA5GTWfJ0Q7+S6mJdACcHgVoeAL1lwusotbETHmKtQdMyPA+8sTBMspSyS02hrCcyhUsQLBtkPinmox/w+OHAskt9pDsSN0yyalvQia5kV79N2WA+aPQuazajFWYijEYkfI9CXPklYaXcMlahUIph0S91SLEdg5yv2eFxZGYyhOiG7ZrOgluCq9nNOMBUAdMkidNi1Kyyx5ME4Ixivd+Bqq4eDKiIoVCMYdEgdVi1PYafIuO2Qq2F+SE6Idf5TO0nXRhr5gzGX1RxF12VQoKTPjsTghWE40mIrV6JsYFCsQbDsk7qkW8//gyLHABbF7KHaErtjk2zFdk1wA5bYcMH8UMp9Vi7ESQyEWOxJu9/RKa9S/PW8GBNMOiXuqxQjsHHn7YaPFmxiKE8JWQNwaG6Pa+e4HNxYAdcggddq0KC2z5ME4IRivdGQiVFsfjhafOAOCcYfEQdXiFHaavBsRF8TuL8kJYWccksDGl4SyY0ZrAVCPDFKvTYvyMksejhOCcWSj2KrxPdJBsQLBuEPioGpxCjtNDsfdhYaH44BooyBdTB10ra93i1/WAJhHCpnXqsV4qaUQjgOC8dXyl3urdkWtJAWzIotfWtk8P9jxFsUmnRCPwglhx2CTnonqurt2vdiYy+qMIuqsqVAuZsZDcEJkWXuYWm31tLZHzYBg2yFxT7WY/wdH3rG4Gvc0t1icEHYPImVkbDuxejKjtQCoRwap16ZFeZklD8cJwXgaexRxGLnGOBsQjDskDqoWp7DT5HDcAwO5LRwHBI8mJZ8JulbHum/WHDCPFDKvVYvxUkshHAcE43elw+GhWt6eOpWDaUPEO1Vh/h8ceTNja8JBY/EEYYch36hiULnoUJMZC7K4Y4g47CqEkZuxQDxBZJkuygnVKqWnCooVCLYdEvdUi/l/cOQdjsgvvDWcT9BDLisJjxRdUXlFawFQjwxSr02L8jJLHo4ToqtYbkr46NWQaHlGxQoE4w7pxWeixSnsNDkck28nj+E4IHg06WxM0IX0fDlac8A8Usi8Vi3GSy2FcBwQjN9968EvoGjIRLECwbhD4qBqcQo7Td4I2ehQaAzHCWFTIu4aim8KjtzVaC0A6pFB6rVpUV5mycNxQjBOE7yhVp1bD9SBYNsh8U+UGIGDJO+KTENB2u338Qxhkx6uBuLnbFAOuaXsrW8ynUO0OrRH0bo0tDwVAHGw4NUhD68qsTghsl01zJl4rF+VchUFQB12PXhTWM+N/E8ur2E8lthPkhyMu8hvjsyBdPnJCcEhPGVUk/YXBpk0LblKb4+Jw501YhaXJ8cLCY568I+P4m91Dogu6Ew6mqJz7BEQX6zS6lDyJU4YvjP1nMU/dWZFFtkgT468Y5JPyca35ISwe7E25coPWa23/oD8IwdAn1SD9Gk2Lfq8myV/S04IxsvNQbRqpTF7U6xAMO6QOKhanMJOk7cQ4kjPFo0DeXhGL9PUkMAojFkjoP4YpD6bFmWlhjwWBxJulA2VsoZL1CoQTDsk7qkWI7BzlCxgXSZAPBQHRFnA5taVL+0uMiuixhwwhxQyp1WL0VJLIRgHRMYzZbLyapzVy/WKHEwbIt6pCvP/4CiJwOoxyfUEPTypl+nqjc6/u7UAqEMGqc+mRUmZJY/FCVEmMLp3O1STrF6uWIFg3CFxULUYhYMm7zjE0Z8tGgdCicDq1pGn2yFatBUA9ccg9dm0KCs15LE4EMoDRtc3hEqS08vVKhBMOyTuqRYnsHGUPGC3cPBQHNDDc3q5qrvJrIgac8AcUsicVi1GSy2FYBwQJQKr2DIZq6W3LcYiB9OGiHeqwvw/OEoisLb12T+eIUoEdm9TIuVuMeoqqSssq6tWWbmYAQ/BCZHNpEMQqSapvFyxAsGyQ+KaajHPD3a8GzPtIdjkhyfxMi1zdXNGjHYA1BeD1F/ToozYjEdhkynn161TplJB0ne5SgWCWYfENdXizj/xH5MX3kIIDujhubtc0a29FzXlgLmjkLmsWoyUWgqBOCBK+NVlJdCqZVn5U8UKBOMOiYOqxSgcNCXh19hGWx/P0MOTdym0gCpdNbYWAfHIIfHatQgvt2TheIIo41emPFGh2qUhE8UKBOMOiYOqxSgcNCXlV8VGuhiOE3p4/i7TlfIlMyFiLQDqkUHqtWlRXmbJw3FCZPzahmmawsv1ihxMGyLeqQrz/+DIsVjt+T6r9QTRfTFtW09dwC2faLXmgDmkkPmsWoyUWgqxOCAYH2NbUl1A03iJYgWCcYfEQdXiFNLTxFZFgp89GgeCPZVrqHuFnndFFpy4pBoB9ccg9dm0KCs15LE4EJiubVtSrUgvFJdUHQimHRL3VIsR2Dny9rZ0aw8QOwM+nhDaXqm9HroarmKw3OmHuQftoC6pC2v89FjCpzExLyXftI2QRqnE8qbkt0se8pSwEtQ5IJi+quxl4B0FRE5CA+9crYUTQ9sROubBO94PcTLkOGTSv7DcMP318Qw9NohPqGBuoZKqRFelLKDIPBQD5JCGS8uYQ6rFgcZXrT5Bjw2avJfWFJdMR4fcOAPQYw5aGaMgWg6aezhw/RNlbnuCHhtUaLusWUuNDxObRwLEcFgZ5WVaHBicSu0JiuFIPUk1VdwrHVxw4wzEcHgZpaBaDpp7OK578h2lT9Bjgzpv31VruJ8s1eCRADEcVkZ5mRYHplxMdUIxHNcsvIvUFGM+tUXjDMRweBmloFoOmr9SDkns/aFv1LVe/izhU2caLQnRPtrMH3EpxTkk7ea1VHi1O4+SMEL4WAhuubs5EcdAe6FlyoX5rUlIpaHUcxnV8x1XPK0qibYN5cG3lQLqN673+pZv2vv08ELlyjfJpVB7+1xC1TxdpbVKYIs6Vupuvg/NEJxWK8yorYYtf4ZILSC9l09kzCLeW40nZGJ7mcSJLT8jsRYycXyKuO2dE8X7e68xg7rrLSGIo/De8wDJ3W4Lyesz8TnC1fhnx1H2T6FJGmO9T5DeOUusO/AZZPUwKTg+RaIDO7vH09v1M2+WXX0nFx+u8CSc65vxLsQFISelQwvAsQ8C1jcSMk7KQ0437zIGNBnCpuJVBMNAlunLvoBl+6ZbGisA1JmF7mVcn7U1coZY2Czf4wignmZw9i8HT7DNukVXZ6+RzjsCiRnpjWGpswkhrqavmtl2gO+ZfA+vY0djp1dYLhjbV5FhK/PjdjQX62XC/CoXeOzl+bLIpa0uQX+91SOyH2+sTog/3IM3Wq2f/+ZL+pLcpmKQ+jTpViV6mDJ6J6leaN+3dk3KYO4g54hILXaOzrwkq/jhCH6KNcRd8vp5Kpan6SacRIlGp8nvME6XKXgJccY07M69B3dxXVd9NQ2j0qYRsyEyaogXVkL9Vg07D7l4suX1e/x85Cv27O6RN2hWuvgk4apLtOa4uO+GiCttHSBShW920DJl3jSbZToMEDt46gy6aB+bacm4+XV9Ys2SArBEvngJc191HHzej29n5V3D24/OCPZoNArnRVuVMfcwR/jRWSa2M1ENLXFVejFMg8jxRxck4ZcyBbjOtQcTItNvzk5YCXVbFOws3n/oZaNThudPLhAuUarkEXIfAbjpXm7/KQQgUqubmmOZCz9C1KKA/+gOZeqGu5ax3oN0xx+dAfrRxRsrYxRUy8Hpfe9O/MtuZ0y1cT5t5F5Lcj3j/0J3INY78R2I+ep5fvkL3He4CK3Rb4l3I/6vX3Gx/Kjzy+/yDY5jzC//5utq6HHYeoG4WbFdDQoWeK2OEl+yOK9U5X7HuyS9T7Guj8GXP6P7FMvyKGEVB1c5tvUr01WOv/iKTFXr6/Llr//ONeIeyWv0XILup2skYea3vc7v4BbKthro6Hmo9EuQaLV9+b2vWLTohShCUaabJ+Ejbq+8rnFcN+k+/nKpu+b68uZ7Y0gBIi/+N9xCedU5v/wr8qKOBofwC+RW9OrJ3qOTi7ldOBn6zoMvlW7YOzC57ywIDmyu5hUZeeiCG3zu6VtNt72qvB5HDAlG9hJXojMcpsFktoEagmAPHmXmMeRGHttXUylXM5lRu83J3NIS6rYoUFEsvD8xtQ/y93Sn1pe9yGX1fO/8BiFt8vrWZe7qLgAH6tAzgm2XwfsenHhfi+Dt7zkocYANoZJC90W7fx4RypSLyxXLNQFm2+4WcPe0iBFQJQ6wofdn3uiHPjn0EaBxcwNtDuG6lhmCIXJ0SIuYMVXyiUNuaNBtk5vt1d1Ch8BtY+YrBdssb7aliNsWJQ6wofdnkptt3IFco+01qLnDDyHyZluKBFOs5AzE+zkYlEe5rx+l1fjSCoIu3qClfkUSNoF0LK7ik1GiTG8avSCCdMqe7xqQKDz5KyVyeKUEoR4wzbd7HSSpKkGnym7VEPFLNZjfGzNMM+DrRptLaKFYOi0b8ohIpyvVK8/t8cVT9EWng94q01c14dvpJdbAo+SgweTJh4ZP5BEQNH2vrhKHbnswyjL339gtLaFui4Kd18YeuwZ6jewFCeyx0yAXZ99Wx+Eu7ojIgb2VECamQWW2EdgHq4bQldauc8yNvsiBvpUwJqJhZ7bzvxrasY8nJPK/EnYdmZ06b7ye5onIgb+VUC6qweQmDeqBRP4X7dt0/ms4WVvgz3LkryXMb9GwM9v419WO1xn5C/KISJUxivDHJ/oO/FmO/LWEcDENJg++xehEAv9as3SSRed6mMNDx2Jgr39Xp7X6Tmsjj2ah3pG8IIE8mpJrOHk0qz08hiIH8lZCiJgGldlGIB+sGlJoGsR0Dro00q2yHOhbCWMiGnZmO/+LNn9+PCGBP61zhJeflkICf5EDfyshXEyDcmMbkb9bNYRul3f+6dr5sxz5awljIhp2Zhv/jBvltpdfkMi/JB4DK/9Mh42dP8uRv5ZQ/qrB5MZXrZzIIyI3D8FU53qaedZArLIc+FsJ8/vWQVxktvFP/eZLZE/kEZFKH2G1g5WM0AqxGNjr34WIVTf55vtcTySQTyNt5LEMm8KrL3IgbyXUadWw09rJX3Ts8OMJCeSxcDHCy0+n7N0RFgN5/bsQsepKjA1E8m7SEEqd4+Sx3TaSZzmS1xJGQzTstH446UboQSJP6eszIn01uuSREeppYSdR6XPQZF0ACvIMS4+PoVs7dKKk8xFhtyNAHEQIRLYv2szl1bBffETFBrhxh8RB1aIMdo78zKTKd5LhjKJ8Lg/osUEdKjHrgmkZutR+0OePL4kVmeew+LJWL3LRTmPX4cC0b+YOPSKEnjA9gqq4d50SZdss0/Mj3mkJc191HBT3UDRer/94hmIoGh/vN2OY7s7d3RE5hsKLCCfTYQDbiaEIph1qOnMoiuct88lim+UQCivhjETHQfEIBSba6x4KhrZQ4MTkCKHATMsM7rC8hcKKKCfV4UCVB/uEtlDwrSpBcaEVTLfNcgyFlnD3RcdBcQ8FTrrnvIVCoMcG5bfbI1HrxGK4eSNyjIQXEUqqwuXOq/BPUAwEcg2PGQKB+3WuaJrlEAgrYc6rjoPgHojCKVs+nqHHBjUshJuxgp2x4XcROUbCiwgn0+GAJJB5gmIokKY6jxAK5MIOkWAxBEL/br6rgoPfEYectI99QFscUpdehthKdJjRnWF5i4MVUUKqwwC2s8XBTTuEFcCgN9OH2E1n67Goc1rCCbGKg+AeiMwZnj6eoRgInIlqxQOB/CUpuTcix0B4EWFkOgzQfFNP0GODOqZqgmLOOOW2NQOVe6clnJHoOCjuocAevrY/EwI9NihLg8PG0pAerbgjcgyFFxFOpsOBxtfOPUGPDaITo0Ex8jSEr6jIIRRWwt0XHQfFIxSrE5f3r6hAWyhwO2oNoUBKy/AlE3kLhRVRTqrDgZvTNT5BWyjWs9xLDEVu0jER2yzHUGgJc191HBR/le0+q/d4UwoPujJjcugsDJc2+IVGf1aIF7r/hStWF9bO6/ou3kXWq/7119UzGSvUX37n6zec+Oi6gDJTWBnCWsyqfV9Y0aHFrIRc9Fx2zHvQipLjv5BVqDYTDtRsKzy/gbWj1O5t4ekbHRFr27KZrDzVJFXuuy1/n1dvOg6qrx+j3Jm65R8v4+KbCyjl3MS4VMtUxGCg2ejYZJTGJ2VUz3fsfOrYKMIXHifeXzIuvuzxG61j02WiWqimXLiL13GRPd0Q/VRINT3tferIN40N4Hny+9bnNfiOXuRJHKSDipR7Jl4h6fgXHbIwRDnOShPOQCrdFR7LDEpbEhHO+BhMSRl1B0jja1gCorac5BrF0CWwVmZn9UObn/qNjNS0p6/RvgpAg3Y/ILCZJ6OtVJkp82bATokeyg5J+GdvfAtqx9/oNfVCuLuYmpBQbz1ptW8GtZS6Rbrk2LRD+lBcV9FQNDnWHgodDH90A9TT07ggbBC5cnz2oHHchW7vKnNS+lgUxFxADS+Il0FWtg3gSryaqO/lwIzAGogW7H7DUgJWO9Z/Gh7wVeK/oPSvaTEeeU2QrJ4290vb9r9TQ9a1maIm7Y8/aT/uaz00eJGs/bixN5yun1fqWsbbj+fwnHq+o/24kQTyumMDsionvrbcfh8r5S3IwJ3lezPzpOupCbmvxLmTrQ1ZDXrnW7n1xdYy/vLfF6uLiBC1RuS+MO6MDc2Nb2jaKt00DAmmuIi/+3fiFH0BMUvOsvIVi6HMzuqH2pBBZ4labENuLMK3HF9pK+Uv/sDerpEi5D+ANSI3cmWUvJfClUI7UmiTvtvTMv7a0w9V2w7pU2FNyHJqcs4nK/VE0JqQ8/HP2HVYW3z8kXckb7944t85PP5PZVTPD20tMDIZnxq6C95fhItXxmOEM3Zb5u1FeC6luv7JF2H162iZNbwIgQ6XyZMzlfqLkNHaXdvjiRNXuYUXIZThpzyqkRfBTcm7It74ixAQs4Tj2SW8CLHMzupXexHWqLTymoq/CBZaL4Ul/1q3FwG7/Mr2K128tB/fAy8kr4Epstcg/JBSRlwKr0GEzNrs3EbYa+Clnuj96Jf06dGLkGxQ4C+ptZfYfZ9uKnh+GOwHljKPp1rHp3RiIr6HdcixhkK3fEvbr/dbSmdpacfDeorkW/qn3NGv88vvf7Z/6uodO6jL1S+OjSGp0MaFJV/Y27zGkLzt5mrFJewqwSxVD3+vWP4K9UUWC1SDEH3TVANdw5mzWFAJ5dkD/zt76PV3DrJh9pptPZ0/uzOKlHMrNN7Sa0R4F+dyp9LJxJIxM31VrHaKxGRcTldBXzrUVZm1o7wh9D5ZfdpZm12/yKgh9q2EeSwadgayQ/aibR/7D8tIQhoahK3Ni36oTnsT9Iftuj9ieXK/1fB3Gn+G+iLHH1YQLAONV9WQZ7vFYnGJmJEH/nf1WevvHN5/aMvbRVkmtx9WEaTB5+es8I+1mmYs2NpvKwBRwlJWLINtRT0oUTn8wopk+nCYjjxx02KJvzEDFAr2xcuY+6pl56M/M67Ro4tjpywpXrg9vBjyePE3WHPjWK1nxGrRF2hQeH8+1LSCSLMt+L0IkUgi9T9t6KJJkO9UcyH/pPxklbefCfTw16HgggVeggr2nyCr+D0OqDWZRvoniXz3t+ccEny8TJwBpekt6xlPSnDdHZo46lm5Y0k39U6c7KR1S3yz0e5MJJHigWmiRcQpF5QAyBhJT1pupDNw6+cvXKndMnTN6G9MWoBktZQbYQF0/3S00yevUZory8c6o7Mz0+hXAX5r2tvGEW3DoJdNoAWIFlK7RPTjgmU8ko29ZYYLuGlTuDJcwKyU/c8YAqLTPEoRwM12mSIAPu7ghtqlrokvLc3oKRak6k4Qn/X7HIr7Dkf4+tbCmHy9aRf88EGnl5Ex+Vlp70ik9WyPMNJNqVLe+6gQJXyc+5nJqON7zgem/P/S9ia7liTJlSBIZrJJJ1FMVmVmows9RPUYsQiH6WhqX1D7WtfuoQEuzDdcOOB/3yrzEbvPPd0zsxELDzlPTVSOXBt0EBXhJxpmuYWXY2f6ba1VzHKFy3q31VdnubtFo3NLMcvdyEnVWmPqaW1ierqRcT4Roulz3FJofya3oDKyZ0Z4zx17kjYxOyU95wORnoAjFfvJLRKnHzskWCia5MI57tZHSdlwzumtYmJaSrH7MyBzv89xydrxcTxaEZcH1C59PLxHbRVTU9I1P54PSG8Ln+aSXVdu82D4o6P7l9uRoJNL/D4ezg1T2t70TC4eUeEDYm38mcwXPZ7JygEvruCTI1yxpNHpg4MHglxGg3Ysy8XHw0zmg4LHyYsp1kKMcg0PI9/C7LW4pq9paEtOwlsfJlPItljhLcxu0/Dg8WMj6BqrIPYLGNQpBWnjE5Ny9Hy/yQeffSwgCqUqK+3WgjM3oQYF4CUc0L5I4uRFS1uj6UFN6sdEdvYCAExXDU8uOsqqNHlf6XcWpNPM/ax8YeNfbX9Ay4DfWWTuuh4fT2ixKD49NKicfmdFDt67Mg2NzhuvAb/zsE13tcJbuN2q4cHjxwbUeyzzfNIM2jfrUofP9RGOutsvrSKTogMK2GIVXTIzHQrgL+3QHlfw7aFa2tJhuf3SPnA3S7xFmK86nnyepxTssbqOS453XB8nRT/QkG5VnbnHGFneCv/tv/7JF5bd6lrUiKCrFHlbzyVJRL9jsOo3+x4c6pH6QkwAugPavVHrO/X/QOKy7+n+Woe87+ulkbxfofGX7XxSxRlK+kL5Wcs7axpxvCwOwf0HP/n2n3hv9OxX3SBlMa3niDNusGWJF9Nxt7nvjqT9D7x6wiMnSrGSjuf9jvrbw5qK59X+4Afo/g4WXg4+VPbTpAozzaY4jFCSEDnz7Qjt7/HMj052k8zVh2g8eu6vk8kye+zp7zSUgetVlh6kPSNqxQ3I/gzzwS7WSKVyCvSosixKsE3RQnn59YknRx4YRvk/jg7cBy2xnidwH5S2W7hwP4OylF3TLTHZuOPfiQdcr7L0ANzVihsRrq6o3I+L1x2du8rAPVoYL7s+8UTu46K6SQ25005hm8h9Vbq5gjsdih1hicnChZ5cbMFsQ4PJlwZpuD/EjhuRxfF96k8aAHXwt8jBHloYM7s+MU3sz8mFLID93K+K40L2FAJKBzisn0nnHc+wRGVgDy2YSWgwmfsA9mrHjQhXJnaddFC7QK8qA/9oYdxMQ+Ka+E/+dij/PVX6afDBmKX8FanKRvoZx8Fm0FofC8Bc/0b1bvFCk4cd/DNHSPc3Ip22gcOVh0R9urMPCwz1n8NbGCXTkCgabaZEWYPnRNq0WNGRdeuSAMC6abv/cQVxlYF7tBC6ocFkyYHlgFpxA9J1jUBVUmpl9QZ3qjKwjxbKzDUkpol9PU/JxeYI5WIvDekXyQVKPdNca8uTR71micpAP1oIl9CgsvQB/NUO4E9Vc+HHp4OdNfoUEcj735WXXZ1oJuqUsu9K9ztVV/R1PEHK+bEFc9q6gt9dRODtfxcKfrWKoh5Yqwk3IjLpcU9WXgMIX4ssfcqv4S2MlmlINJF6vyiqHph3yl7T8Z7vFMyiDxsvGqw91dEdFjLE5CAPLZgKaDD58re0IGLGjcDJIZumkjOpxK9ucrCHFsbMNCDTRP687DQ+DyA7HXg47IZnuclJe+1iXodtELARKgPzaCE0QoPJp6axMERtuBEZsiOlOs9rmSu4V5WBerQwXqYh8TTuxKwdUkJb5UGpkUYwp6VEZco9UGj71cMGlcWGklsIi9Bg8tCsJO4LseFGhAtNhDebJB1wfzdLS+C/iLcQVnY9cATWfZ46lRGZTgC2Hqyb1Ox07bRDOaB/lYF1tBAGoUFl6QFYqw3Aup8y0zadlF2pw62uMrCOFszKrweOwJrO+bUWrGll7jiDdT34Y0DaKTP8lofkk6CfrLgMrKMFxXmjBpWlB2CtNtyIXBTNF54sTfeP1NdFM/S5XdFCWNn1wBFYl/0JPEawProdHjd5GkvWThEW+tRJ0JDIwDpaCMvQYLIdWDdEbbgRWXwA23RSDsazRa8qA+toIazseuAYrGXtszvrttbSvHAmS6Scat9ykXwY0r/JwRpaMAPQYDL3EKzNhhsROWZuOq91mRe4V5WDNbQQVnY9cATWi+ojnsH6pMrHQfqkaUfc4I0Ks9Urulc5RqDQQgiEBpNtE9W8IBbciHTZxzE/0rxjgadFBs7RQjjZ9cAQOM+x9LCEyINmE1eQ1vwrrn3sz+GC/lUG0tFCGIQGk7ulSlFEbQDWHOIQc5wtD9ki115VBtbRgln59cARWPf9/ZwrWPejSZiWyu1axpK1NzpprZNFFYCx/1WMj4tFVuVAWLsHwpa3wJ148PlW9/LRbfNOfwb7e694MXAzthz00HiZRvkyQmdZfCamSONVU+uC9kGWzZBNAtbxd9qbxetNnj4hE0StuBG5OH2De5ImGJc7WiSgHX83XnZ94vnOCVxZ6PzT65VHXzQV/HXSnk/TTXGFKDmMnF8BqMlHsy8WJeqNROLjgMSX8NY6tKHEAUmHA1OPzjik1twJGjJGMMVU4FkiVbRzBVjP6rmFkTQdmbXcPE6y2AalQwdVXmrJFZQZcE13BU1VxgnWKICuiDbKKXQYIP2gK9QadAWVNpvoCorMkPAl+x0ECFdACyXpOjLr5IpxjaFHYRxaFAiXXDHWoI1T7WrQtIUfDDXGACHFIRjQRiiFCpOlF3CE2XIjNA+ZsKsjNlBlmcb6VsAdgS2UouvInLMjqEqoZCB0aFptc4Rk80H7mnSmt4I1CqAnoo1yCh0OaIHxgNSaO0GSbC9cfPAGBPwMAoQroIWRNB2ZdXbF3F9me1HQmPPXQW/taS8Kg6qM8qQrGr1e8vvyDpwB6AloQzvzqMMBX/Ny57Axd0IG52cJD0uVEvgVBAhHQAujaDoSZ/ODUOy8BYV+oGmL7L0DRBvM1hHNeya6QQF0A7QR1q7C5WZzeIPElBsRTVThajtlspjQtQLhhWhhBF1HYpy9wJntR3IDZXdsZ3JD5ZhQknkvastdVh3MGgXQEdBGOLkSk4uO7sA3Ys2doMteuurg0vAXsLeM/EAF+calmWz2QOlVD2Q7ROExR34gjt5pmhMuOCTfbViiALoA2giZ0OLA0qyuDqk9d4JOmfmaYto8wvtQZPGDmOctnKWpyLSTL7psG4Ir+qJPbnomOs2NGrii0ybuAeYYAK7ANswJtDjAPYEr1Jw7IbqjZXovKdoQfV9W2CHsizZO07Qk3tkXq5wfu/picF80H5rmC4WKxgVrV1QO+0RXKICugDZCypWYLP2gJ8QY9ATNjS54LjpNnerEX0EA9ES0MZKuJbE2TwhJqrdeR3LFoK/umVwx6LsLrhhDFwHNHgWE1sgthJOrMFl6QUeoLXeCluwomSdoOlWgY5HRD97CGZqKTDn7oV9FCosG1CRZzJ0g/uhGZ+2SXOBujwLhCGghlEKHA6ftcBmk1twJmvbKHSzycdjoWAH0RLRxkqYjs86u4AINyROUR+rID0fVVCEeGlptF1JCzx0IT0CLInUOXYcDQ9Y3wTlsDDqi2WEE9W+b9trVX0AAcUTRS6yNUXQdiXP2Q6F1x/yWOE6uiIOOOPjDG31RuPJCPygQfoAWQttVmCy9yBUCqS03Qmexty5XJKF12QH9KoB+iDZG0XVkztkRGuQLjuDQnJGeDS63JkH30lujxPlnDYsMcE9giyIBQa7DgStmauodseZO0GlvXXZwKR8r/gIsoyO8hTM0BZly8gPFmViQvSJnPyXNP0K6pmpuOPshK23mBgVgqIxthHdocYB7AkeoOXdChr10OURrjxMOuCUMAE9AGydpOhLr7InJJyLQE0OKMN0J4sy/0dc4T9knN3sUQE9AG+EUWhzoMVETSMxBT8z9CmywsrGBYW9d6VsB9EW0MZquJfHOvhgURpheE63Llxed0fnbG31xarcS02MD0BfQRli5EpOlH3SFWoO+sPxR4ePa7L2rv4MA6ItoYzRdS+ZtziA9bTQ5DmtAnVbExYFD4mOsHw4hh/USA9AP0IZrioAWB7ot2RukttwJWvR5CcV0CgP7Fhnd4C1WVoB0/6yMJkesjMXiHiX+MKAcgxOSb4AyUnQAqISZLuIaUqaunLAKOqJy4NqfAsxsLrnE21ApVNAgonchsttgl7uVDx5v33feaL/NVvxueNyn2vaSHg3BWyhf9XIsm4/4UfwTjTRp37LQDTv2cPD6K+dO4DTzF0XZ7ZlYWZg84WrLcrz06+ffSUwj5WH53wgcdc33T4Z2WnfuS2tlUkErAziacLMNgMIJC21AV3pfbXnSt6FT6FC9XH7bV/RD9uS0AQVGFlBgMvfA7QUQG24EOP+ZKaSp7ajRo8qkQW2KFsZKFSSWXAqNFpdapz3WKXvZjlB+V6lUFwgvTno3dC5kslqe/Zsc1L1Br1q6TxW4rLV7HFEzbkQ4wlw1VtqmhS5VBu7ewonJ9Zln4k6ZfKVGoCG6B34jMpWrdENvbwnQFUNUZkMuGk5ECyXiGlzWGPlwh9hxI8JhZu5PGTGGw0UG9t7CqamCTDXRJ+VSxc2Q2TpRuBHhhKHez+yF3gJuicpA31soFdfgcpeBmCNqB9An7YudLjrptGiHXlUG/t7CuJmGzDXxP49Cw1zgrwEvwJ+rFMGtvw4+FOSWqAz8vYVycQ0qax/AX+0A/rTCXWbwn1dXlup1kYG/t7DfzTRkron/mk3C1Rzhk8np9qfzYXNKGM6k6KfJR0XdEpWBv7eg0tcNNJgsfTB/QdSOGxAJ7AqfDp6sh9eHTt7jd7EWxs00ZK7If9BZWT5J4IhGut2A1K5PHvMftG1k91cZLgf/aCFcQoPJ0kfwNztuRLjYres8KFMJ9Koy9yp2eQvnphoyV+VPo4nBGQz09meABhN8LiyAoWSlE9o+PDUG66guA3lvoURcg8tFTuKEO8SKGxEO5QyHrkOdIb2qDOS9hRFTBYknUm99SflHA3rXI3sBnEpVuuiDg8DcCJXZiEU7lNFCabgGl5tsJzqiVtyIcBJcp07b3eIK6VVloO4tjJgqSDyR+ihFlhUMmMeQNdgApLytDhrGLFzP041QGah7C6XhGlwesk7piFoB1AftZfBwSnRygEOPXlUG6t5CiZmCxBOpz7PKYQQDzqkJrh2grGzBnGrJnCVsUBmYewtlYQpMnJpUO1whNgBxqrVSaxCnQJYFnar89iF+EGuhtExBYqnEuSDCWHSqSIgLcNFrQYgrQO/REtQpI9G15Lu6Qgbq3oKHKKFARe7AR4RqwQ3yIdGcooxilmqL7lQG0t7CKYmCxDCRpjPrrQLrfVseEr8BSKMoeutlUj7GdrkdJrMdPOiOFswjFJh4SOSG+0GMuAHgmvfhxqVhrepnFoG3/d1J6eWZJBKfVPF44M89K+ULPZF4LV3HNUK88uQoiKsMxL2FMHUFJh6yKGKAGnED0Gkv3fVxQGLcYSYH9WjhvFRD5vnD6fY7vSqkaPEemusI2KCyHx/9EgQ0aBreqSJukwXcS4Y4VBy9BUC2F85QjW04ayVoCaDaB8EgtedOUKWImFBsCf68cwVIjxnobYKoankwl/uGEupwVXr67Kg7FGqUmUzunID0RrDemmzK9lF04d/2bcPoaLLopwUlAXStEe6QmnMnaMqw1hRbOXTrOyqmu3neJGiqkgfv7Iy+R8xnT87QnRx0hobeRW+0ONTOMEhl5jWoKTZRVq7EAO0InaHmoDMozrBVcEa7ukx67Ie4un1+/LeyJv5rmpIH7+wMKjN1ZGdQqYKVnTGnJLf03qaEbrhB06I7whnRRFm5EgekI3SGmnMnSCYo4eU9zyjgDJXRGd4kaKqSB+/sDI7azY/JsrVnhKYMT6w3+oIteExURmdEE2XlSgIo9p41SM25E8QZTEMxBSLzOFz7Vhmd4U2Cpip58M7O4IrT2RnX0jBPhBYf7jg4nmrLEuTl9lwWBxYmR5OTBnKhI2SN9QxIjbkRkiAI8PFq+h7Wn0FkdIU3cZKm5ME6uWJQ7oaZHhILErkRkjyQ7otBn7UaD4nJ4AtoIqxCiQPSETjDzLkR6hzSGIq5sG88JCazM9Q8b+I0TcmDtzqjcXakUenIuDpDIVr1O9UZDnXaeozemkSEboMO+tcB9Ea0UVquJYBD9jwDUnvuBBV9D6tiWkI8FnSuALrD2wRR1fJgnt1BudSPK7mD1gHXmdxBy/Ed3UHb62cFixRgZpwpANsoL9cSQJXNcPDQqQeREer6JjY/n0XfxPZbCIDu8DZBVLU8mGd30OSnZXfQEayS3THlu+yjljH3HPpAdyiA7og2ysu1BDBt9cggtQfdwSuIrEcVj6bzTetcAXSHt3GipuXBPLvj3P8z8sNyXssmDgYt+jIPcMc6hgyIzSIF0B3RRnm5FgO0J3SH2nMn6NDXsfn50mVt/y0EePsAv5e1CaKq5cFc3VFppZBinYdU7Q2IVxHVHQ7xqaXo7ZonbRx3qsbYewDoDm+jY6bQEkCxxQqD1J47QVXfyOZnyjFzQecKoDuijRNVLQ/myR3zqJwbHdwxi3yb7wSdvN+hnc0i5Z3dIAOYmEwdoo3SciUhNwm2C0ituRM0ZJlenbGBqq917VsBcAa0cZqq5cE7O6NQeuKRnFF795GoQ0tfS9obJeqQ15JapAB6w9sYL9cSQPchm3lI7EF30IKjvJDNzVRCGH+J1XVxxH8sa2EsTcWD9p+z640zxZjuHhKkI8iecBzElKKiTtnWcoBKEPBtHJAU/Awlzd4o1o8ARLByXCi0aZwGCZQ44B0FpMaEFjX3yeh79r95xYVqWdivyG7QX0R23vePSBvrVOsdb6rHdS874By/dVCmknHQl/+kSjz7OWj7xyvHXznp8Z6f0WCLdtXOsaw4im1y/70Ury+dyqPwHng/Me+P1Eep53FqfZS+XVTeqY+i+G88i9DfUH6foxRVt9/6s1A9FNrtoNRCtKVOBajXs4wKNP8DqqaO9vN97OEjdPM/cTer//zP8dff4mX/ysmO9vPiyYe6ZjiiBEh/J9EA59QCCnQm7Vz7ASqT6+SyRf8jqT7XWdr2V6MF815AWxgTiY5C7z/9QoWPzrl+/qO3i2v/8L7z1Knbwatl/5lacSCn16IpSPLgb6jLc78B4Gf6if+vj/7z/xKO+qMngtJUTudVG2V4ouoX5zh3f7vBuW8sNOK3YBtyslIU/+WdRNqDZotngxRxhlgiv0Hz+CtS/41x0S0NqQDHkPSZ3oIyfDbQoHKkb3NEE/mZBkv0Z31EKkCzwluY3abhweOHUgEOKn6ZapYYYmn8BmcS4MU+SfQ3NsLV5CMZ4OgXn+2PNlxSaYIWAyJ1G0CSys+1WLI/7ynSAbo13sYJqJIHoUeKuO94cdWf9l1zXHuAay+uGpnNJg39aGFzDM1s9je//MpTt/PaN+T+2h9zXlpkqdLTsTkeY9+Cv/E/7pt1/2LXahcXgtpv7f1u3Dfrvttb3TPS/S6gYj7bHfsFt8H9rOz7nl6LlEaiLuhnq6Lxyrmfhv180j3+65667CHr9uLuY1DuTn7+/onsOFe5UM8//rJHSse+HfabqlKC18lq6O9HW+Xn//7vDv8D23zuRw1MCjv5qm1TX4tSuR37y3a1TZmJjmv9/C9sct+d/o5NXvvm3e9Bys3W10Uvwv2Z7K0Q5Xdy3nPS1nrJjQ6ZdDXNuKd1peTNVTOsSibdRwvT8UMFMzwtar3a1MhuT2Iqub0xW2stSw6oUIwbx529tDFFX02oy3mxx4kJdZEJt6m0vFTXT5FQNyHkD65boclyOaEutpBkuQmRhLrQkybdVWsioS4i0tOy/LTX88+J0J+XTbcVCS7GbLrhVGt0HEvPNnsyXYDs56FSIJclwJVkuthKk+kipMl04VfURmoV5NJNkHVIpyl+8lS62ORB74dT6b5TCsHSXJu1kkj3kDzVlO9ODqu883xYG6oCcSVErvqh7NPyECCSCnd4Cmgv3PHMdO13mhfpeF7zkm37oLQE9N7dr3DeUG7//xTAovSbNFjmjDf2Hfg9D1zm/gz8DzKA3d2/WwJrs+AbqtGpKklbUSkUFHIaa4t9D3Q9SFQlnvi1jWn5nh+nctgefTup3Dv/OnX2lD33jladooCk1ECtl5RdeG1lul7fZHvm2Tl7jAyFqLNRsfyVtWi0Ei35aCrNZh6I0LzoXMMlyFzPNpxUPiGjcgbm6EvamDWi5/rYMqJ9BUsOwUhtMqsfe53VPc36uGJUxNA4P6Yiet6qcXJWhboeawFIf4DL45yrzmax1ahTEy7HhcuS6HqP2srsEl2WL9whuzEiOXiliKDr0Spz/PPTg/s7rfCiU3oDr7NKrQhGtkzbHSRvTouBS1xBwQ2HpjG+LoYKhfJISuupwMkZJAolxFz+xuaUxI1LWVA6kkkNWpNur8G5WQpFkDy6uWifGE25RtVaS2Ir/WBYFWS7TKuaOL99V3T+cfUa/7EPuosbAKUMzT3t0J4s0iKHvmjtkTrHac/8881hj4K1uV+uer5qZ9HhRucztKlC0l/7ZVvryfUwCy08ejphik++zoqB8H/q4Xu86vi9Ow58q4nDFp/xgqTzlSpdpqTz3saSzj8u0uElFSVJOcgV8Uzx+/MLmea3PyX/lmearxcHREULsSRy1WfL3sJWzxMvGiKPvPQBmebZBv+72WzXPzj8WJ75RvWy0OECeIZ4NmbEtFGsHTi13ITGo83i0rqgRQHIPh6QZYlXLZFHXnuCTPNmjbcx81VHZvP2OELSpOJv+rGlBrCli6frP/ZIJ+8/tyecr/TuWNBicWmUSFkvcvq5FbF08aIh0snbz+0J59UKb+F2q4YHjx9LOM+Dx/r4yQXyZPH1WphM3n/ySDi/7+GKLSiCYKEGBdIPbpClimcdkUref25PNy92eIswXTU8uXzXAaU9A5Xq0me9aGuAIEpRWAK6Cbqk3pRCpdFqMF9G6QILANOPhTt0rENCePJ4q83CtQcocErmqG3QucSNlCIvpY0MKc8lbe6Xq75jGNmpAktNHAfN8TpSJNP2aK/RWnI7G2fq2+0oFUejgsz8GvUGe9TMr9HnFWLNXzhWH5z0ul4jFpv/d6qG3RavNtDC4WpzzcvWC0ezctit8PLO/kyWOVMNbUs9Hxiu/9Il++t60gpwqP8tp5e/evv5X+Nwly5xH7KuvQce11GXLXKeWtybF1T2z5HXVP9RVk3XQtN+5+voYZAucZet759+oYX9wX/mJdXty20YH+u6BibDl57pzbfHts+uZY14e3xsZ+WM/mp45O5/N6G/0KYFX1tDJxr/5fs/5u9UMNkjzzxJkc95O56f89e5lLXxz3m+SD7n5eIdrkafesmOY8hZphx+AkTqXXHNhYtk3pPxAiAq83jxbOnvXDAkrjd5epUMQdSKG5GupVp4dVhGd1FyROS3D25TtDBedn3iyed0DdvDPD2zbMgYWuMTkMLFv6wfqv42wRKVnTv8nXnE9SZ3TfhhiFoB3OdoWnDl5GSMwzzBPaoM3KOF8vLrE8/EnfNGTeROGTkqUt/DJp1aSDeNEqisMERlpw5/ZxpxvcrcATBXG4A5bWmu05hzeTXoUGVgHi2UlV+fWCbmrVoCWUP2A2JVuAzZw3ShIv3U2jiJjFmislOHvzOPuF5l6QG4qxU3IhwWY85sUsjCnS0ycI8WxsuuTzwT9zKbzpsM2eNlqx3mSLcnifuh8RtQF9GZx18PWYGzi02+rIaOImrCjYgkdROF5TzMDdyfykA8Whgpuz6RTMSPw86XK1Klus6NQOMUC9rNlg+8+0w25vj3g5ee/XqTdUbsvjgsZWQgnMjPXHks84N4+rBMsv5TeAtjZdcnlsi8rn5IoJsjZx8fFz7plfJs9BLUz/09OkpQV9mpw9+Zalxv8pCwDEfUihuR9tHe71ug4oven4hBPP5unPTaRDHRphwVqyDtsZpmKQnkCM6UcgOql5nsnOHvbL9ebELTvCSGaP9AmNJo1GqM5zahA2WVgXO0UEZ+fWKYWA9eBALSXYJ6gHSntewWvCm9RqthiMrOG/7ONOJ6lS2SKJzBRtwIXLp4xI6svOAWjq56Di9+Cm9hrOx6ZJmI7+8qRaQAc8qOsSYyp10NYSLdUO2gIz6sJjtz+DvTiOtVlh6AuVpxI7IonE417vkJ59K3HlUG6tHCeNn1iWfiXq6q5WoNoSW/PpA7rfEdMYTbcuHkqmaJys4d/s484nqTLUOlIWrFjcjJqdhEY7kuTl9iPaoM3KOF8bLrE8/EncKYOt7x5WqWryyQqly4n0ID4xafVpONO/6deMD1JlumMveGWHEj0q1GHlvJR6zD202PXMfv4S2Ml12feCL3PZXhU53A/dyT8xPv+Y0U5SLcz/2tvMISk507/J25xvUmd81Wa4hacQNC6T9tEMdFBFfc8yYHd2ihvPz6xDNxP49Ts90aMmldBwdxZR5LuUg/85C8pWaJys4d/s484nqVpQfgrlYA95OmGXbPb6mbJ8TbIgP3aKG8/PrEM3Efnc9wA/c+rLCSI/1ULtJP792eRbZEZecOf2cecb3KQ8sqOaJW3IhcXA1GNNKmVYEeVQbu0cJ42fWJZ+LeFh/eB+51aWq8ACaFCXg3dXElWTdEZacOf2cacb3J18fEXG24ETk5Q7MopFyHK8ZxJgPzaGGs7PrEMjGvtWgRK0MoNrilO56ig6+YttAucrr/VHbq8HfmEdebrKdtwxlixY0ILcKZL6kAOnSoMlCPFkZLL08sE3Pa1Zf0SIpcc34s9p1VZH8ajrjfaTWkwQjWZGOOfycWcL3K0gMwVytuRDhmXqlTbGwMo1QE4v53I2UXJ5I/fHZ2KygS0bH2J+KqPyF00pdKn1GHqv7kul94NpvGcAVTFdnwYz1aHBr84DocOH0MqJBacydo6DKQKtbddutaRdaixkELI2k6Mmu9YRSkinszu2JQsrPsikEJ0Qq4Yuxf/fKisSaiK6KFcgodDjT/vCmk1qAr5m5VLnDFPIc+Fty1iugKaKEkXUdmnV1BEe1eHlWgvr8x80qu6DRXreAK2rZeze1REV0RLZRT6DBA+kFXqDV3guytbz7en1kZZsuvICK6AloYSdORWWdXNCqalV1BBwpadgUFlcsKhvZGK7EyBGd7VERXRAvlFDocWP4iVUituRN0cukjV9wkhYl13SzHSRgHLYyk6cissyvKKjSBR1ccttGOUNFBgPZG5ZtbPCAqoiuihXIKHQ5MObMWkFpzJ6hzdU9XTAcwVjwgKqIroIWRNB2ZdXYFlbw407uiXntKeyVX1KtYrXPprdK/h7vCRHAFtDg0TNJ1GCD9oCvUGnQFncup+IBQCY4RrlARXQEtlKTryKyTK+qideT0gNRzcsoHdAVFUTR4QDbQNOKEXaEiuiJaKPPQYcDUZBMBqTV3gpa9fkUxndfq/oCYCK7AFkbSdGTW2RVU36+nB6SOPR3t6V3BYVgHumJQmV//mJqIrogWyil0OHD6NEMhteZO0NRJkyqee/ZcwhUqoiughZE0HZl1dgVl/yj5Aektxv4OFV2K1N56XTqmZXtURFdEC+UUOhzQGQB4R6y5E9Ts9as+blNX4+VXEBFdAS2MpOnIrLMr2rQgR4conrnkB6ROK0avvVU5JWH2qIiuiBbKKXQYIP2gK9QadAWd/m34gNDpX1k6465VRFdACyXpOjLr7AqqfTGzK8px+cahQ5PLvXlv5Wicb1XtURFdES2UU+hw4PL5lHlHrLkTdHFwWfiYAgfiAVERXQEtjKTpyKyzK+jk3EjvinL1UwLzEWo625XeNmCTQLLHRHAFtBBOoMOBWKRW3mrNnaChi4rqCsoYoK/wFiK6AloYSdORWSdXFIo/qdkV57LCVAAV3T5QV5w0ZwpXqIiuiBbKPHQ4YIWpHFJrboRWs9evKF5UgtDfFSaCK7CFknQdmXV2xUkHb9IDUmb1wwkO0XcYXUERLN0fEBPRFdFCOYUOA6QfdIVag66gk1Yd3hWF8otcJX4FEdEV0EJJuo7MOruCqmCcaVxR+tBDywjxcePorQ9OpWf2qIiuiBbKKXQ4sGIOJ5Bacydo2etXFFNZjhmuUBFdAS2MpOnIrLMr2lW0Uq1D9eJSt3eC6JBMdEZLUFc8HyqiJ6KFUnIVLs+YwQmkttwJsmV+1UvZiLq/KUxER0ALo2g6MufsCFoHatkRpTUN0Qfo4Nzv3lvhACO3R0X0RLRQTqHDgeY7D+YdsQZdQVFgC98UVJajxJtCRXQFtFCSriOzzq44Jqe/Aldc9AnOw+6LF+ZbuIICr0f1GYiJ4ApoIZxAhwLaD7pCrbkTZJEF6orjbPYCbyGiK6CFkTQdmfWflTa+2IJRrHjVoQtGDBWPZZe6DSB7hGxAc+rPZkrOydXWrBsRxUmHBl5qC4vMdx0ORD8OmSmmxG1FNt8Vmbm/QRw+edG3oNq9s7WssT9WFlPT+ViBtblfL7PjDH9ZVOIqXJaNkuNflgX+b+gc935JFjifHaeyMa7PYhPj6PVXDsJDjN9Xzr5TtF6ddnZ7f5c/Hut4Hn+Pw9v/h1uGp7PTifEw6u9/sSBHJnScdcDh7D+GbRoM2Jue/efj6hG++I/vHzz/F/JX2y8QyJofvoHgSDg8/j9z+OO+SfDvv9Fz633Ooz+oi9uHH+qiQ/v/QOGS5RxdwzuVOOQt+A8Qemne+H2EQeLpfPtVIQ3BoKW6tnKQJYZJRrQn+Gs3sChOCKNsbQ6JbFxyCOsB3AFQ9CSVp5Vp1Jb5Fm3trLRcZvLbvmA/yWNii0XfydBgsnTBVyTkRqTRVCp0Nl4XjF6bLh2GXdbCeKiCRItekQp1ivjhOKYHcAPAS+bWRT9KpYmjGWFyUIcWTCM0uDxkevBEbkS4hFZQp9MHA6iLjNSthZmtChKtRP2sUgz8AQD1c9DAPKjvcXmiLjJS9xZKwzS4XCVZ5BNB6pPLC4TOyTmWotepaZjCLmuhZpuCRAupFyqMVIC6AjcAXInDu6BTTJSYwYxQGahHC6HhGlw+ZH73RIB62a+i6wzqhY9+RacsAnH7u9psVydOyJvPH1TgrUDw5jS3LXhzFtx45EwG3tFCOLgGk6UL4A2dOsL1QELnwYdqoleRgbm3MB6qINFK1Ck7Ld7tCgB1qTcZXVDpGaQuMlL3FkrDNLg8JCDiiSD1k8seh87JJ2+i16lnc8Iua2Fmq4JEC6nTMX2uBf8AbgAmRSN4F61fNA11I1QG6tFCaLgGl6tMJJ4IUKfa5hXudqptvib0KjJQ9xZqtilItJB6P65MXYGg3gufmfQuOmdCcBtEBOL+d+Hgl5ss+oE39OgInQkO3v3g7IXR56HZDMMoa2EkVEHiJLyp+AbXYGmSCeuJbDv6wXusnY4e7QHxlhun8KPKXgfLnRPbdKrax09dIHyUmszZHW6Ro7B3FxdXv+njktW8J3KDGYJsudI0d+so8rrYo11K09vnsKfsOjh5LdWGOruEu0+vLvPkxezpYqlZw8sWn14QYj/5O2lII9YX6HV56qooIGxaaJiN1maiD5HfPjwR7pWTDsc1tLrRQafL3qshZpdpMLszM+ZPq+6c7cz5P5CbEMpF4WooeXkp0Y3LbkggYqopUCbeg7N/INRnlaoZfg0PxEGly96pIWaWaTCzMy9mPw+uTRDkM3ATINUMTMuULXbvxWW3IxCx1DUoE+vCyWeAuF9SqMe5Xxz1Ftxddu6GGHfT4FYjLaE+OXwUuWeEyJ98viHUnJx0LsibHOQdUfKmwchbH8E+I9Qr5afCSzgONlS67J0aYmapArM682L2J83gJrJ/IPcHPjSI7CnEvkaxqpDdkEDEVNegVLwPZ/9AuNfKyTf9mn0bT3jsQ/ZeDTG7TIPZnZkx/3Xom9HoZ+Am4OTSbKZlHfp+1l5cdjsCEUtdgzKxLpx8Boj7JQUCnPu+jU+48UN27oYYd9PgViMtoX4e8oUM7hkh8vs25u+qqTk5lXSQNznIO6LkTYORtz6CfUaoV45Pi0skPi1UuuydGmJmqQK3OvFi9hQ5PSuyfyDbDlq1KuDEq/O+jnfjshsSiJjqGpSK9+HsHwj1SikuC17Dcfih02Xv1RCzyzSY3ZkZJ02lWe2Jd/4TuQm5uHCWIjw7H3Hrh2yWACK1nVyDcIk+jP8T4V4rzbeD/7V0BKX8XXb+hphdpsHszsyEPxWvPhP/jJAl+15uBfScki3a+zE5+Dui/E2D8bc+gn9GqNd5If8tDxxDgey9GmJ2mQa3OzFj/jTFvfDpfyI3IV0GlqqnyBav9+OyWxKI2OoalIv34fwfCPW679YBPiuNEwO5ShO9TwXMKLvcjU60mHyVxDRA/oFsMygdWoebnybrZzxkIbshgQwtK6kalIj34eQfCPVKhasqXlNwBAmy92qI2WUazO7MTPifvI+M/DNCllDugAV6Fm8gRT8mhyWOqK2mwbhYH8E/I9wrJzWOayjf2ACdLnuvhphdpsHszsyYPwUiHgv5P5CbkPTS5Gn7goffZbckELHVNSgX78P5PxDqtXEyt7hmzxgqPPwhe6+GmF2mwe1OzJg/hcNW/Pg9Ecp2vO/mGfdNp8N2B9z/LrslgYitrkG5eB/O/4FQr8cpE2q7Zt/NHe7/kL1XQ8wu0+B2J2bC/5SCYcA/I5ztOb00O1XZPuA+czkscURtXenVHn0E/4xQr2fP/Pe8AYZTIHuvhphdpsHszswkY7oUGOPiQlOqfGYE6m0q0ukIDCU879eSvPQud1lqAqTwONs09HVJKR3tQ+WoF2cIJ9Ru8g7xa6TqTr+qFGpwWQuLmnhpweUhBR7M6ExLyF8nvtg+vSDbjHlIBnJzIqWDhA+fif4jOCC/kl+uv6J34L/8AyHmFHy58JpD3wRaJtNl69QRtco1qNEPWkye6gPOdOc/ECJPh9w6kN/6Ozz5Lgd9R5S/aVAu3ofzfyDcqxS68msGnykOnS57r4aYXabB7M7MmD/NCWdH/g/kJoQP8bseOmLe4cl32S0JRGx1DcrF+3D+D4R6rRe+C7Y89E2gOl32Xg0xu0yD252YMX/K33Wmm/+B3IR0WT1UPTR/hQ+MiW6HA0PLIuvlSsQ7cPIPhMhfU14dRv5qUg/byLvs5A0x8qbBjU60hPw8dZro5DNC5KloDaihkjVwj7kc7B1R+qrA2FsPwT4j1KdkmoRrDi6f6Spd9k4NMbNMg5mdeTH7q43HoPeB3IRYZXPRQ/PXE259l92SQMRW16BcvA/n/0C4Vw7zjWvqhSuHIHuvhphdpsHszsyI/6BZ4YULfU/kJoRiBRwZNH89494P2SwBZEgxZdMgXKIP4/9EiD+dNkef7XsZFg9Bdv6GGH/T4HYnZsL/TK/HTy8I8d83M9Lf09cL2KsY5A1Q7nq1UT/TG/3twxOhDmmjZME1s+PKIcjepyFmlGlwmxMppl7a+ohz3Qew7Sh0biqU0Lz1isc+ZDcjEDHUFCgP68CpZ4B63NPWeeEVBVcNQfYuDTGjTIMZnUgx8Xqkt+KnF4Ryw9EeGHCvpeFAN2Q3JBAx1TUoFe/D2T8Q7rXSgY+gTyO4BvRddvqGmF2mwezOzIQ/7XClZ/6BkCV7gggTxlGlzEv0Y3Lwd0T5mwbjb30E/4xQr6QN+NOxCxhCgey9GmJ2mQazOzP74eO7fF7v4ATG45KENS/QjZAU4+Rzf51Txs0p+5ODz506QBuStCM3sc3k6lKgxQHpibdwM3QnaBBZUEwBaKlzAbhzM9DaBCvV8qAp+8EK9sNqer5AN0KNF5m9t055M44eFhkA7og2yiu0OGCFNV+gO0FNQsRcsVTshM6tqicYaG2ClWp50Hy4g5ITz+wOgZI79uTjusAdZU/BegGLFEB3eBvnZVoC6HJzv0DJHVQRq6M7lgZ+uDuWx4a4O6xNUFAtD5rZHZTi61jJHQrdCZLYB/fGvGTv3r0xNS0seMPaGC1TEnKTTBgvEDqjUN6eAs4olKs09S0AOsPbOAHT8iCZnUHJ5fpIzlDoThBP8qO3uudLaJDI6AtrYaRcRQCHREa/QOgLSoZHcRqht9K+GPTMMnrCWrjxpuJB8OEI2pI4syMEQkdQFbCGDwnVGpsL7FEAXeFtjJRrcZbSU/JFdB4QxZyDK6ioLj6gCiRnWJsgJUoeJLMzqJ4DZ4l5gZIz9u3OsZ7uDMkqAM4QIDnD2rgzTEsA0158D+hOUJWQQ1c8NErLOx8eyOUGWpugoFoeNLM7OCt9+rwadCdoSaSS9UbV3cYJFimA7vA2xsu1BNA8HjBDd4IOihEBxXVK+Jh3LgC6w9sEBdXyoCnuoGN0DEoRgE+vEFm0Kr1lfuVlR45HXpx7ggAqKfcTp/qUa4qkjwpkv9AHJwPtUkSLFmhZBRVPYrnZEOEB3WiMQI1OpxbumdIGcCBbo4/3r7xYacGKxcrBN5qFbGBwAQit2v5CUWKv+jROWkbmBaI4KNpemAG1PnjAF8oB6JLYACCxEbQszgsKPQnw9uEF4s6b/g52GW0zXKjYgeg8IDXQtRiFB00JxaLAwJHc8YQoOIhi/RvoGlxeC3oDwCwKSK0OLcorenJ3PCHqnGb96bLjNJepYgei84DUQNdiFB40xR2L6wYldzwgsmhx+lnQtThtFvQWgFvkkFntWoyX9xTueEDUOScagqvoUamo14HoOyC1z5Q4gUxSorX6MhLmjCdEkVN7oH/gozIH70NHZwCYQQGp0aFFaUVP7ownRJ1TNvKRLivmMFXsQHQekBroWozCg6aEb0lGTHTHE6JwIsqTWUDXWaXgjHUWstnjiJocKpRUdOO+eELcM4eowmUHJ5EExQ5E3wGpea7F7H9wFF/s93TJrsgI2bNf3f1CTYsjZKGvANweh8xm12KsrKPwRUao65MLn8FF58z3WwDRdUBqnmtxAomjRHbtd7xyMFc8IYqyotNW6FU6sDewMwDMoIDU6NCitKInd8YTos73i7/NdBnPzUGxA9F5QGqgazEKD5oS6lU4ix664wlR2FXlOJHQddWm33vtDQCzKCC1OrQor+jJ3fGEqPPkQi6MgjdcANFzQGpd+i2fBMURy0Yw4YgHRLYsH6KorssGR9ZVAG6OQ2ayazFS3lM44gFx57xtA5edpzlLFTsQnQekBroWo/CgKSFge+C60hvjBaJwrDHocJJDGzhpK9p7Q0AtAkisBi3CC3oyd7xA1PkeOfd0We9pzAlAdB6QGuhanEKmKRFh+xU/0mPyAlF01h5BXeDaTnWMGjwmCJhFAanVoUV5RU/ujidEnRc6tYFXFdoBBb0ORN8BqX2mxAg8SIoz1pCC5uCMB0T2LN78AV0Xn0OBzgJwgxwyo12L0fKewhkPiDvnynNw2cnpD0CxA9F5QGqgazEKD5oSMEZHYNM44wWi4K0xpaKx6eKipfioAGAWBaRWhxblFT25O54Qdb5f/TiS38A0l6liB6LzgNRA1+IUMk2JHyvXYxT6AlEsF5Wmx0elVV7Bj94AMIsCUqtDi/KKntwdT4g6LzON5DdQ0ygUgOg8IDXQtRiFB01xB+WMzQ/LEyKLKNMsurZRv/iwAOAWOWRWuxbj5T2FOx4Qdb44gTpedtD8GxQ7EJ0HpAa6FqPwoCnRZZSsPb9InxBFeg0+oBa66EjYwhcpAGZRQGp1aFFe0ZO74wlx55Q2Fq7qHKcMeh2IvgNS+0yJEXiQlGir0mTMRseSOB/TC0TBT3sa3kZA+18d3ow9EaFIhgCKZohCSHb7Q8vugTYkoycB3j68QNT5nob3jpcdpzxypJAiqgKgLMWsJpCmffPKGzB4sBRvUCR2ujMeCJmzRzMVP1BD4mjD8QDYjxOQ/oChRX9i78jviwdCXVPgON5NgyLL8fELILoOSM1zLU4gcZRAtH4YB3PFE6KgsN7sERBVc9+EuOaFgBkUkBodWpRW9OTOeELUeRs2JdHLpJxo6DU5unZErXMVbn/mKEFpclIOffGEKEaKctjCu2YDUiPWOgvZzHFEDQ4Vyii6cUc8IeqZTu7lyw550FyxA9F3QGqeazH7HxzFF2f/mN+dD4TsoZDWCzUtDu+EvgJwexwym12LsbKOwhcZ4a45NzZcREWTG6p1ILoOSM1zLUYgc5RoNYooScugLxDFjlEcCnp19WXzFekMADMoIDU6tCit6Mmd8YSoc4o4wSdktU67L6DYgeg8IDXQtTiFTFPC1/ZbGudhn14hCqXaI5gTX540EcaPVshmjyNqcqhQUtGN++IJUc9HT7O3DVTzlyp2IPoOSM1zLWb/g6P44hxpEvbpFSKLziutjnQqTH2m3gJwixwyq12L8fKewh0PiDuvablrd3l9xC+Jy9G1I2qdqzD7HxwlrG2/3M/0mLxAFGfWOS28Q4OmwAMeEwTUIIDEZtAipKAn88ULxJ0fyYXjkJyvoNiB6DwgNdC1GIUHTQl1K5zhC7zxQCj0rDSbhYmmUk6bqUhfAJg9AanNoUVZeUfuiwdCXctZWLiIDqZWVOtAdB2QmudanEDiKJ44V5p+fXqFyCAqaolepVTduNqFgBvkkBntWoyW9xTOeEDUOZWwSS6kwxyo1+To2hG1zlWY/Q+OEgfXuy2CmC+eEMWk7c9CRbfWUT7C/AdkM8cRNThUKKPoxh3xhLjnkmZse1S9bL6mih2IvgNS81yL2f/g+Odk+BtUe+tiD09NxD0q7SiDI25opROWO5exHhTndvIGyJA8QpNsongjRe4PkzI11EDm2O+fS4++715CHlMqZBnSy+ySBSsQqlA1fzKdvRbeN7deTX5zywzZXCh6mqKpFRn0ReT1JNEZsvRKOgQxy25AxHbTadye/vih+ueDwr0nlwipQzLmT8qvskpANzmYw1QdmjRPnAzsu3RMBE4pkOhIpxT+h3jUIHLHnmu73k43YB8/ed8GvIWFBpFH9luMV6kVGmtJvXXV67J2vbUooubdAAgB12kUXzxjd7yXs/7L8ivSfIaOlNDuYDklv+L/yan4Zus//4uUX26jQba9PzI41jUprR+l2qPqxI+az5zJD/MrctZEckO38sxjfww1daCl5vs7TkBYzlGs/nK3/mY9itWdvkrOpBhpAi3539cs+ttI+AdP8jX4jDsX7qHAv/2rDD59psjtyDjOKc/lmIuLc78inWulyDOjml8R1/xvgM0l5VTe6e3VohdNTz33jxSk58e30hvwWlNfipxm9AroDmh/sLtUZht0aKue70J9XlrNKtS/A7n6f/uO9KRwGdHtaCiY8I7tr/296Lr/mo8Wndbjk0/7ydLMpVbwvF370aF4gHmeP/8Wb2UteE4pPiPZJxU8L0fd0+t9K/sN7L83pQhffN8+EL4nOEe1IfOQ0MLOSWZPlJvkJg9kcnKq0DA5SCr6EPntwxPhXjnrY1yzOOtj6DTZegVkyhfKNIjdT2b0FpxUHnhcwH9y4asG/CcdJikN+FN93w78XXb+hoitoUG4RB/GP+ww/vMYF/KftFl4LtBpcvTqiNplGszuzJX5U/JpYPvpBbkJ6TTBcT2cTGFEPyGbJY6ora5BuXgfzv+BUK+V8z/GNZXzP4ZOk6NXR9Qu0+B2J2bMn/IeHnzNknqNT+QmpPFhaspiQ5/6SplD5NRfJanrocCDy/BF88kb0KFwcvG6WfbAlM4GLko4VtnwjBB5LkUe3C/OARncabfwTNwdUe4Xj9KMxZOVcG/8RemrFqka8kRuQArnaJuUQpwOznNO5U4yb6SaTPSpakqBFjTQ9MtZEO3cdqTORKR49lBT+aGOjqoWYQtTvIUZLwoyl8T4HF0mPE/kRoRT33o3NLpCxioDY29BNPxyEbrMNJJ4u8jxtKGHMtMBZZWBcrQwW1VDZpM4zz2AvDpyVuRGhJLyezdzcSpMN0RloOwtiIddLf9/SumoJBrjSckJ4UemDzrfpdaRyMA4WqilpiFzyYypLHMiXKQUJwBTHlHrZc9P6BF1O0RGwtaCadjlIlz6/IfkfKlgNNCtU14k1o3ISNdbqKGqIBFJZKlY6XkhW0WALhUwbSvoUm6GC240lYGutyAWfjkLot34QmciTiQ8KEkl9MMi0PW/m+UT2XpXQJeits/04/Y9/Z7pbt5vHTqu4r30/f5ecDurDHS9BR+Zs8tFYO1GV7u/XeTEFKFHElNETyID42hhtqqGzC9zlrDkTy8Icpb8qdFPOciCsERk5GwtmIhdLsKpKwooOmeKmu7AuXae93pPIiNnb6G2mobMJnGmcwSZsyLAmU4S1BqcKbnNgsdLZeDsLeqAy1kQ7cYZOhOR5wahhyquQ0csAmP/u5mul2cqiTDlS+rpxlYECGteZO9GcxS7HZ6z2A31FrzqY5fX4dqNMHQmIp9rCj37NgXCIgJh/7uZrpdnKpmwrCd9ekGQcKmZ8LF4HOR2iIyErYUsc1UgbGtcSXTCe6CyFhCWwoTRk8hI2VuYraohs/nhk7cwsTym3BIvEE8/pyxEKTSo+C8H+tEy0DEAWNcl9VcRojdtKFkXZyeKjhR4+/ACUd90MPbEy8aUjWzTG7J3bZCbZ0qcwIOkzNPqJSG07oxJJeeVqDpj0slZjmlUaAOnLMJpbwG4RQjxZ8eVKKvoyJ0R5rgzNqRB0H5Z1SBo0xuyd22Qm2dKnMCDtziDVgWu7IwHRHOIo9BdH7poZaNP6M2BsAggNtqVOCvrCJzxgMgZV/+YXHgd5i/xRcjuC4PcF6rDXfGgKPNXOv0qIMfSfnqFyBV0aFZuOk5DM8tZJcSPat2QgbSDUsSgUw7nxUXr4qpioZgL5pAWulNZLvrReCDUtRweD1eUoTHQ5mEK1rryj2CQ/1Cz2k/JlF446lyWH+HOqb0+PeQ75C7fvqNIkBhtrDeely4JDlKAZ5Vd4uqijW6mmBYAlhwXfoFuhPZQjtWY3jEoOgz6FoCn0WaftlHzRUPiBuxPWgufwV5lZ0+L5r0DewqyOApYoACyjzZKw7QEIN0g++gZoM6filC8uMotdL607C0YqG2Mj6hI7JB/4VzXnx5y8N/fxasi//0wzY4mCJD4exsjoloCkG4Sf+8ZoCkPkiuWZAPQuSUkAAO1jfERFYkd8KcTUtcZ/FW+Qy6yEGHqJ8WZ4E+gAPKPNkrEtADQdeb0hO4EUXky0Dt4UAF9C4D0rY2ZzxoSN2BP8X1w84t4h8jnHUI3FYc/B/SvAHKPNkrCtABwfsy3vvcbyOJSCKB2yVwgul4+XXDztI1aryqQGlLf05hagftxSc4Dl4cMCF37UXmqExYIkMh7G+OhWgC4JOEBQGJJoi8xpKBYYkihcwESfW1j/ERFYgv8O9WDKsFfZeevZ75D/Z730LsjTFAA+Ucb20NXLQFIN8g/egZI1gJDse61RucCIH9rY3x0ORHZAX86iN3gs6fyHfKhLw5VT1WDO/4ECiD/aKNETAsAXb6/L9CdoJP33UPx4gE4dC4A8rc2Zr+oSOyQ/8F5/z495OAvWzKhXpMyhAmepSHMjDZGRLUAMPSN9YQS/327NvzwNQkEAP4CJP7aRu1XFYkd8Nf9808P+Q556OvD+FNpMxx6KJD4exslYloA0M39Fwj5UwzKOoF/payoqXMBkL+1UftVRWL354Su7LHjksM9VSJQCQofuNeqHlbTVvd37KtG6MRFoU/8Npp7uEujaINEz5xrcs4QOiI4eLxydi5OytmWLn58vA3lUkmAXCSb07YFP/vkoUGlqga8lXNSnoURyP3hpNI8lwNn56CALQvZkEeXRECGtCp7ZzcgF2dbVJWtFd4stj5NfnO7DKEYlO1lzvsgyB5N7LvZNbo4bdFQALPqDkDMNn1G6+mJHwqj2cq4QMavdZWLVqvIj/uuPwHaXmi0mXUFdFJ+DYrLrKsn6Twkn5NDjRKlcYW6gBqNJ8tPrrVt1/APZD0b8Bb2GUTuOJqE+Si0x2uc3tkVB6Cdbz0GmYk3QpuDazWKL575a4fRrMEpfChhSltfCaM5+vr5b3/Zd0bpF1b1TMUxuW5nPWa9UiCNhQJgRUxSsG+Lon9e/cRIgX+GYqBRYBQLbnJFTCqD+XsuBjrPS+N0aNetbG7vVfj8ZglO5fB+FE4uwRlxON8boTKpDDW+nwbtHkpqOHw/DS2PG+8nj13z91O00ffT8yJ+P/1l90Q5ZK+60qqExVb9x18oRujavy6Xeu1l3xP8O1/Hdlz8Ov+JPLiuNhGkX/e41nXU9Yxu0su9fmto/wMHmlx875DTqXDP0a5HDNbfc2SK1G+1GrH/QLaOPizsajSw5V+kSut5nXAF/q5/4lVFhe4vLlxc6MEEpEnKEv3YXOOQimdn1U3+a9+eNb2TecVmeZv75arH12Z13t1vnSokU07/PU4sg+wYP/37/0tt/0qvBappv7i00Xbter0DvtNZ8bKlGqK83X8uCQpwSNx1LroBtis4913lhpTjbttAESVc8y7aVD6mfL9cld21zjFoUbWeVOyMPiplc6z0LVbkJmT7L9psebt/3yecRtukdZI33j6IvN/4eikLkxP+miK+C6iyunZl8pubY8i9kbqk0qog+6PQpfyo6AyZh90mmj03IGKvKTQ2Tw/80Ed50YILrVdWCiuYdAtfFKFHx3INujd0cZiRQ5u4FDOvtILVLwBoaHCoHwXan9qihdUD2m+fPc1yxVypcN/g3rkBb2GiQdslHB1QA1o0GOwlFAMgnW89BpmJN0BKwxUb0Rf//JU/zZcmTKNUI/YW/u///gvl3mmHfTvpS/V/Rd3of8aC0vH2g09uFASPL3J6e0cJayu0/dvQ/3jbsnL48PuLF2pvh51Y4Fpe6TRyX3TqKL3SqV2wSOMKsn2ciD2LiONVUkU8onR/g2MI2kk7yoIPTvz5t++Zr6HAdAjqas8q4viFC43/+RdT85/p76vtyQRFUFoZ7z9gCXNzd/5YAnkZ9ozHdwtI/yYXJedPK9Ij+ymIdXf4MD/a/+PLHaRl1z2WefdpH+b3zXv314lf4Z+D9G+xs3/9xYqrh8/RF3/340OvRfNa2kWL78/iY/vp+7OobOkFrb4JSHj+E1lU2JR2S1T+vF8gx+Rz2IrId25NmmCf9MXS4y/+kj/mQSF8N7RpnHfsfrnq8Z1ri/OG1GtxWUHaZ5pb4x6t7zfH+uuODBalNNxvJZ6N6Fvpf6Uh3WaJv9zvvneMEC9+8RMhtAT09Fw5KGYCPVcOqqG7wHPRxjz3vIo9d1Eux0blV+l6GmxspFFCW6rOctB1AVAi+YtyPZ6aS++iV/O+iVp1+W2337//WbHF4HzBpsDFIltNjqgNNyKVXvw01qKflUv9Hvw9kLrsKpMONStaGC/VkHnSB8qJ0QoLMJ9TS7gHwLovGsLRSgJVUikrqKsM1KMFf7hDg8tawz28wUbcCHAi+fDmHgjVC/wtMlMXs7yF0VIFyBJ5U2kSPithwKpdoqoCWEJDe1iyHuc2LFuyu5oUHIIWQtQ1uNwlrsoRteJGhIPenDmNwM/oVETgbX83Vnp1Iqm8OYis0VyDY/UcoeMExxDmhtDrgNRw/axGweyLrSg0vDQZqEcLPjkRGlzmPvgKQdSOG5DdW2N3qTtXV1dIryoDeW9h3ExD5or8+zE4vX3w5xKBPJIPZBRhI/y3zCHkZonJcQdDC6lF5RpMlj6Cv9lxA9K5aIHx3zIHYHuvKjN/sctbGDfTkLkm/h7yZG+N3g5OUXcDsl/7zEb7oaQ7Y/ibyGTgHy327w4KVJQegL1HPgHCYeauUYOonL2HWblV3sKZqYbMVNkrs3PKLNwRLZR+I8LlCuw9a4GZzt5DN93WaMF0XYGJ3AO3F3eIETcAjbaZw5uSZz38banY4xexFs5LNWSeiftoF01zPvnzw8lBut75hkxhotwpO0jtYYnK8QqDFkzFFZjIPQR3NeIGoNOStnPfww31hdVXq7Ir7zZ5C+elGjJP5S68KPdHb8j9pKBupE4FioUIv2r72p/oUf1NbDJQtxb02R09NITc5WXtgFhxBzK3qqP9FN68mnpDOlWZOxWzvIX9YqYhM03s1+TCJJ/i/rn2rLbIJ9eQPXgSutIPRcLJPShvI5XhGbYWnTaNztDgsvQB/NUO4L/o8EC8JimZp7hDfS4y0PcWRk0VZKbKnpmNo3Je32A/KMFeu4D9KLRI0/xtMyg/YHXyKgZ3+7tS9ctdlg6YuiBqxI3IwesbpvKgXFHRpYjB3P/urPTyzDIxL7Ts1pB55eO6NwJdiApvCpqdJaxQ2Z9fb2As9PoQ5SBSeEJMuBEp9KCHK2k5Bn0tMnepP4a1cFqqIdNM1Gm4r8M7fmuM3quc2wSEFw29G9rzX5e/iUwO7taAhtWrhIKQq5yIcq5ixY0AVScwhY0qAV9BXWWg7i2cllyfWCpxYaVBIcCcSkH2hcwnVSS9/B27x84HvTGducrB3BoYU1MQcpfwBUc8BAYQ3mIylYNOqkWXInKPYpP93Wnp1ZmmUNcnZFImChnaKnLOISvEgHD9b+/mpKXtM+xQOV5a3sJ4mIaQuQ/grnYAdzo/fVzOfc6urlB/T62pEb+It1BqriBRTfRX4yBPoH9RZZCO9Ok0/lj+gt1yo21d+/6YDPStBW81j9DgsvTBVwiidtyAVM7Y4zoXTVOgV5WBf7RQbqrhwTXxpyO2Re58eXomTfa7DrQUoXnKcP5b5lrF9jIyOR5hb7EH0xwRZRpclj6Av9pxI3LQiNTfAnRYWNio10WOOTS0MG6i4cFV+Qs3qpDTB/LnEfGJ/KkiOMyxtsxlGZ2/ysDfWhhf0xDyobMyQ9SOGxEOJXadtCI1Y7ZkcvCHFsZNNDy4/vDBhot36XnzoHL6D4a4RsqvjXIpFnFXQE2m9I39TQCfKrmoqPUZMpmupSSiSefCaaAkAO6IL1JIzbkTxCuUG+A6IhsonIZ+983BaQ6QHrMv2jhP1fIgLreO86Tk2D15Y9KiUUveoCiBk36FRkeLSNaVHnWGyugMb6J1NUJHANWmxu4fseZOEA9vwMuUCvWCH0Jk9oVYFy2cpOp4sM6uOClje/LE2kbMmjxBad0P8ARFhvczrFGZSXXOPxRNjLjrCGDYYN8gMeZOyKRnJhxx9iZDBO1aZXBEtHCKqiNzVj9IRtlGMQeXPiCaZPY4Tn2zB0TFzEmTJvQ+pMT6RQMXTnSkAHgC2pycqsl0mCi98BWMmCk3IPvzz59t8y6dy+AVB+3XAHCDN3GGpuRBOfmh09p/GckPWgcN/VBOWd81PxSagC/wgwJwm0MbIW46TIxZv3lGTLkRKTI0dt9OmQ+5+1lmL9gvpC2Cn6p4EM5e8BBHf9X0tkcGVR8Lh6YsQFlnZMex4h1mALoh2iwpPuNaAmgScey8PVYQEK6/FmqrrcaaK2os2Jp53iZoqpYHb3WG0qRxzEy+0NpPd4IuGcLo29oCusMXHvQdRkeblQrxIDBkTRcgNucGhAcWJziDv6sDf4dLw/Pgt7I2/mualsw7+2LQKoD4gh8zLoI+1RWKUMgYOII2BAY6QgF48UEbpWRKXJZu0A9iCvqBzna3Bn4Yg0er8BsMG77G72RtnKJpyZzVD8LxrFPCgBxZlfOC34gMntLIi7pTBCWP8a0GlQLohmijRbJMR8iHLUYapKbcCaqyaGR6z3J9hK+pyuwFMc4aOD1VkOkmF6x1SVG9uKW4yoX6wKFTVoq1o0sCT+MNpgA87N5kHJLRznUE0CU5BDhGrLkT1NP7dtGJ4At/AAHADd7EOaqKzFn9IBQHRQAN9MMofUpIGEBU8WLE62kUqVvjjjAgHBFNlHcocUA6omsMEmtuRPbjcYQfBpXnkPet9qxA+CGaOEfTkUlnR9BcYSVHNPnkoiNage/VoI2Ejl5QAJ7zaGOEWnKK9oE+EEPuhBz6ohUfVNqvRR8owP2qbd4m+KmSTDg7gZbiL70d5A0zaEfg1MfCoSFLMNZZl7pK/uoyAB3hbfbQslTUEkCRgC9wj9hzJ6jJ2q97+DzkZWs/AsvoC2sRLFXFg7b6Qlny0nxyBeXvO7Irpnxy/R09aIvh7OAKBdAV3saYu5YAhq0lGyTm3AnRZSbTOxrnM4y+FeC+1T5vEzRVS+atvpAn6txfen1ZKnCdumxgCIVI8mKsdbQkPVwYowC896KNUXItBmhH6AgxBh0x5fQNOJgSmA38EQRAR3gbJeBKEufkhjW1drMjl3xtwQ+80RCvac4YgHNKA9AN3kbLTboSl6Ub9oJCasudoKIvZXPvOD/CJE5ldIK1cIKqIRNGJ0yqar3kFaHP16QdhSleCGjqfFH8sIFLFrDlHWYyPOzRZPCqDSgJoNr8TEmbOXeCmkSSmOKjlvACSzDr1786O702sxUPOLnrSPw1Ue6doCUbdPpWmpzq9wz+KiN/b2J0XUkAXWJiwCXblhtliV4Gr1KJuwGOFxk9EE2MoClBxn/OGSpY/oklrMpTW4euVjgQhNaDBm3CAWBBswHRmjqvD5iWJke7oycNmQXPenguxSiXiVoMgJ4cMmtMi9v74PT2HSe+Lv7EnPEbfvKR0qSS1HL3FD6ln26ox2WWt9MD6a6yFv1446JVaKpatZ/s9lOhd+NV/rpxdNfJrpkUym5ZNn88updjM1N072ua2DInT3ZHmXyA/FMgNA2+5k9lUlpz3sXjRH2FPmx1uPz2YQ8veX/VW1BEGSVSMQ0max90hSJcu56CEVXDQbpL9KHyvsKssBZmpWl48HhLv0aheSFtEFEayJNJ0oue8pLT+huHmAfC67Jb4SH7jCJ/AVd5C5NZB7fQa7ibG4FJd3J0IvIXtMxafE0+dTEulO6PF9/goZayQIzERgaDIPOuKdoqCMh8Bbeo9JW3fm5EKg1lQGanv/4IYKu1MNk0JC7Cj6banOJ+8UShUIVbup1ooNCEnQKNxvSvYqNtApPJisETtEGZMbmBidzgC7iLu0T/LS49fMMPJcg7MlotRDoN8AYle5ryaHUOvRy16syvUN4GeqkoAvJJUatwBcvEpXMyT0PYskKhk7ufJsFzgHDPW+Ypicmfn6bdbG3jDH+DThQ3eUg4Kpvy09uBmEBOSSWykVOT2jPylMm3dOfSz0F3NF/iAHf0lL+gKZz87RvykKBRMn+/0ztxpKezs/lUfoG8MHXUBEij3VmQqa4NdXxwXQAFmB4VD9tKB23ZItDl/v2K2GQLoVBexBHIO3KymplQimXaAK6TC35tJnv4yDf4qaloy5DM/oaAzGfAvmALri4fKh7iKR/WB0BdXBdvQ1bKHCz36p4z1OlIyGLnF7iGV5OByEPk9sL15Nj1QRng5mSuFDBULIaEDJFU4BsYsnYDTTjt0lP+AmpXkTX5jXB6bENAptiUL9BALHla9oWtpefoclPI2n1HtssjYO5vI/YBfcpSayA+qNGP69hPND/1goDMlD9jC7btaavYT+FA068i+w8N4DFnH0sdRwCIqgQQ9f2LrAo1Ixb0qdmLN7KVJXIGqIqnmIzm24YWwMvyX3MToXSY8vPZDdxXk1fnO4g8BCHLTx46Lokq3f1gQNSNHbN/vipqFuTtDtmat9vuYTj/KrQ+0/hJ04QpMaCy11AAU2I33mtSPvqr7EU6uA6DiDxiM4D1PeUvoO6U3e93gJMzl22zOYv0jUQYeUemA9kukx2OcPzEO3Jyjfz2g3ck9l2yJKapdFqHpKv2Lc8Ly+8iVR46/3I9kEIZXPh1JvJnanHQusdGLvizqPwMCvaTV8UlnUb0jnxDrpKDYJOp8iWjc6xyhxm9yXWUvi7LFayjU9yVISCzg54OEyc2zjy/v6CczY+cSEmriV/T5NfvIpwPdVAuSj5QWSj3RL98NPKOPOQz5OOXQEKHam2NF97eASgBIt3scqw6IZxRP/iITDcwnWotfk3IwvjpAfFKLVKQpyxJ3VNomsevhHLIVt67yJCv3iHBwwDIgLSXbn+l20akIUGv0fhVXylScWcjFw0vNnJJgHzhAA6yovI63juyMhH5Dbmxjm/IyxL57H6rRF9eXb8X/eAjHBHBCcgh60OB6Myi709Ennt0KUsKLb4ii843uAL6fUHKIbOPSyMzAJkyMS1F5ivS4jMyZOQbco+Pj/HZ45ghTlFTpubtAKTYTW4IzT2UgKoRBFrYhNPnzTrh/LrcZT1/I51u5mSJIWGJzcavjxk4OfnvO7L9OpocGH5Ra4Ee+SxO0ptgv4lHSbcOHcvXn0d/DlrnGBlZchu/yPqDivwGPzG9YOg2tl6kBd5s0e/Xkf2C1ofQEbYfZC4t9AWcIMiTsXza9VEuNOyv+EKheu/jxBcKIPowF3pJXBnpPHF5yF/iFaFF6IqGfKUWZstBr84bkbBFb3eLhQeEGbwjdxfe9OVW6iHjqcxePKKvf4qgXOnDc8hS4f0uoq/7g2Y1NSNNPwBfk6umFei0IePAq1hpXGPXv8VXiNNHpM8fIlz3exySjiIhnN8aZOb75cUDT1m8pIMNirqpDcc4FJgjizHvIDQFoLqNc9CJzzuGF4qAzKWG4YomZ/eeSKHq2a27/DkGOVRSZl447FHEB0Yq0zVt0YhvI12O0ALCDF9lHXup/PYBkCkDoRc5+Uxe1TquPWix5sKhNZWmuSqOpAE5+YQcF9as/R0kZFpGKcxw/wpXdSQGzHTcbo5XIESujEgqBlf63YjWdAOEzWfk4vWCQzaqXuVMWJywKDkTmTZk8dPmObR/P6SjV+Tic1MbsRwcVL7wKo6AzDlbQm56QiJ0CJL6qZK2xedgiBS6V7luqCz3BcLWfUMeH+UmTox5dYsroZOjaLFpyNRXj9jIYtL9LrIHRTSUPiSVDCONdlINAbnTc/IZr9G1bFoTmi5/xn66rWi8g8gpAOj50DNA1rPLbO1nvOaUhYUXOflAFmBaladIeoYlDbDFV+Md6ZMLWIF1FPpRwbqvyl1iYwBRP7lO95Nboqd0wJJAzP5ADnmTCAIy6/2CLboslWQf6FKPFIRU736KdSi4O16Rk0/4wlMzaPhij8xD6HqTHhIsrn/2hyXUu9vfQczMQCgtQnAzcdjSmAFTF5ISTx67DfomXv588QJkk6+Yvx/eQS6p7cipjuSeoC/acARkfot+hhb+1rR1y3gfRE/fQsxiRp7yF2zBb5UnR/7N6cDS8g8BrSBTzW0yZvIeKK2B8nk7A15FWc1V+e0DIPIB/rpsH+BJD23378INZr0AbOdDFCaVc0btB75KZpMyGycSgRFUIIPTWc0mZVRVhmV4vQZkGWPFFTZmsv2BGJNMOhM5YmzwdVkTTYPtjDy5CL9+yBv/ah9lrb+f9EcYMgfCR2HfkXkHRMW3DwGwhq+KXc51PYA7NnfoLJAsBwWie5S6uaPyF+TB13xDbhoj43s7he5N3f0bMsWjvCa6e6V7UYK8I9um4iF1555IyDI1ox0j3VUrpetyn267UYHt1X8Kkf/+GS1l5Gn55x89psMup5xae5456OZh7rxq8isvFcgIHKAimzIchOjyF7F8ttTEAVbz5UNcJX3diHTZy/SOBPiSLNQ23wCGHE35N9B8FXtcTXeV/N53giixDcocgQg2KwLy/KjEeePLe7oTxHNKANb1dM4locjg0iu72HUkQroburigxaiSRvyT7GVynCXVQdT9UEOKvNte5C6RZwrwgzgkCouWCw9+aBwo8kYEX0nfyZ1lSCW4+G0Ueg/IHN7sZSTRobTUqG/bprGfw18PlKAgEJD56cVLhixI8huaIwUV0lcKh5jRQmd9INw7v2U4Fk+Bz68Wyn7vns2e7AAN1uev2eSYVlp2r/a9U2haoEThjRyHXgDyd+Ust6R76IYFQNTdU/6SDKriom8AFmu/v34ccrSxxTN4Gq1cXCppQ1STT0YijlT+2AFgq220eTl6QEy1cFAQ7+9oYEVA7WPjL/jXgSoH+gqdlF49oHeABwsZm1McOWva1hYZiEkALcUz2xyfNiol+lYgBCZ9b76kNqcMkELPCzAlbO0FYj8e8kK5LnNsoa+CISizyV/wmlPMC1YvwLIcHWXMKT81JUzmJB2Fqu5J8Ld0PQ7xcytdR2fRYgipLH9BtfsXOGXLc55yIyoEgMSMf8E2Ys2LeTJn6Lyp5xaRzXVK6KyGp99/Cjp5x+Ad4JTYUwXeUm+up/OyhEMIsAc+pzZs5IvVQoWTLsaFPF8uUhLb/H/wRpjIKKkWhPTneAVcpSabx45PXZTUshOJaECq6RXIBHTbuHyEX/qTbkCWdI/TnmNdX4PkaQFA7gfQs+RkQqECihf4KzrnfeB3hSL1LgoVY6wN7smH5bJISOV8uYPj0ECRLmVW8R0GkO88vNeq6XGGS/cWXoEq5cgVsM3LK1S/AF+S4kEznPt9iMoKd6ZSzchgV0X5K7Bood0B3td2iBMSvAdkp8l90Yd+i9akUKRPsn24+FND9YllEfA9qD8/j0+IF5r7FQAvh3LqvV85NiE3Yc2fk5rLFs809bxB3wJoRUxXTbt+MikvsGxtBNtLVu6+AZw6Qeidz785hAD77MWJuqN66odu/xBdVh9rkRcQ7WjbbuYrVC55K1WZuzBEkXUxYnqVORIPR1AAhRZTPItvE75Cder3mApclwxJASLgJsAX2bmQb79chsDSbdbsEN1n7fI64Ui703bLTr6wLR0bvwud8m2VoW9CZMBMm3kyzJUmnz8gxDHz6apXzZetilPNSr4j+6mj0V44np2gi8ee7wDO7JKscwid+rt9HZiW0KNQ2gj+AlJ5y1PW8o+iA309yQWIZZpBSCZFdF5VphA+b6IMLNjk67LmlwnEen4BKNBdDpXVpjFoAA2eqdDmLH/mtc3nRLNJxNA3AK9CHKTKxXf8p7CIAlJlgzyQSw7jAlJtD8kVCQRNbPZMCTp4xmGz528BVVd1mlQxzOY4FPbYhZfF3QK0eG75DqAWivyWvCFNnu7RLWq9MygnroSMBjQbbKAXOYqpQd2ASIz2O0C1o5hTzvUgNCQyxrsaFgvuRLzzbyCU6ycDTAJkLiTwBb0h0AtxGU3oA09JKXtNr6Ct03Zi3oHskS+t6YgaoCof3QfwBd4mZb+oeARFKWNyE7OoLdsaciQM0ofBD9MipDFIr4C+ABV4+4DQkpid7A7dzdevSamdbMSPWaEDFy19zBDST0cR1hmSFbdvAJYok7eKxwroPYAnqq7lDb5utO6mo733oCmzXzr61R5Io5ESAt1/xeyRF0D8ZsObQpmvrjS8Oq7LB06vUOet0l95PVS/wjaeUQiBIl/YuKjIF/YF4h3q0QL4DKOr41oeY5ChGJQpwJcVGalTXVoNYgmo6rDsBdDxnwJvHxDio5rvAdmLGgypI25atT9nmgPQsrwOpt6B5pB31iFl3N6BEJgWL6X1kAzC4fxBNRCu9yAEOK8P73YfekZ8ddfk0DCbaCGRj6NTLsef3pEzf3EK7awx3ZOK3+I0jzYRdBz4DkSFTRmaS08M9CXFeAxC4OQCFgBQ9SCZ+bkehlJv85JsOTGHRKjJS/GQqn4ZqhLH+A2gfZSXWeZ/a8Q0dzXEIT4VP2bXYIP3IClGQ1DVUeAoXX9JgRAo9CB+TpdxgrINVP3VBPiceis65HwH6vtzvc5kQJdYvjAAgK7rnXDZkLjspxzOkNUmKmkzo2tcuQEDK29kJKgteSeCh/bHaZ7ooW8ARdL/IKQuC8XuMreIgj6ubBFARgWgKgMAhQAQ5V+wjdj04hJd4brsZu+61O3LcHDbvANNPg2PjxZlYx8VHq13gKGvbXnW3tJF9mhBb/6rvAOF5QEte0yVcgBVNw4AYiovHpANc8pzMOOZ5IXars+Av17eg/abQt+wSx/4saRwjEEI8Gv5c2pjb2Ff4Y23SfT3bchsF+gF+JL4HWLTg7DcHNfU1458ZfQIVpcvqBY85CNWYwX0HqBr4YelI0JIvvrfAuyrT+eN5AVrSevQxHcgtvoFkA3nMuh2o4+vZHnijWu+E2NMB1DjEI/J53QDwE0OvQwB3XqNi3x31nZhYmhEoQl9wdjkWwBf9AYsFHrSEqp7tFJkCFd012G2S1ZXY4wPUJeDfy+AbToVK+OLUJNDp98AqiQ2eYFu2F6jSFP1vUO0KnTG/prKXxIxiVj7FlB8J8I32ErXUIMp79z9GGoMv28LKvQeYNu+Arx9eIEQOOWogO927nG9BtfbhmiResMgc4vPyV45RJMIfH6ea/eT1XAC3JBLlgMtqqnWi+ePfgJcZIj0sxY8TAQNLscJcEMkSXbECmrkg0d6ifwGsVUWG2FWqoYHD41uEy1xVNpivSIePtq8IhZFz7m96vuIHY4eFB0zE0IhInwweWrIxKCYXTqmcSyLd8oW3rb3RSeraKDfZe+FAusvjDah0iYSjnHamVANDtPwivtFz53i/cSL7BE5fhhxK4ZEpLh77QXxq3iMqam3JQZd94z4ePf+V7/Wcj4QjNQgxSDyUCOqNeBW41E+ffCjYZS7RCLf+nVwSBe9byyUlMqQ/RTn8R9qRLXfm3wk/RMgdKBKrtMo1XcQuep+0SO6qSDS5YdUPsmEgsOQaHeo2zyAiVynLfSblZfm6H7qSRGtcrAIznL60SLzvh4CAtfGQaKsJd0icW7dT6jacfFA5IGHG+IdBA6ZD9qpqE7/UwTmxTmecfHSAdAf+yZrBV300HNjyKY+bp/iIfGTWfYc6SEneEbCRw81opr83/AeccTvCH//vCJ+jzz0iG4jV21uRsFew4+w8GUHn83SpBDMf8lxj9Z8ax7VcCmrPS/iYKrvSSDD4ZuyICersQjR6T0KsfdRfJXw8ph/VIs3j8mvtelUnGGBFgciniggyV0XWuzT7D0p8AZzCm/jFFTLk9ObHYIWTR5t5XOdWImOVu9BtoQ9aDH3+grkIVajLl1cDIgS/pBP2rAXY5u66dHmc3bn1/FdztkSfuVQPd2Zl2xSOEIalKNJRg7DgyN0UlS6BwqjojtNhNWn7BwNPYjBVkC+NBsXvgPZhfxG1F1xXfelV+K+32Wlq152M1tggNrqE/ig81Sk7/KBi/X8Ltf9XjokZ6/uqgu00754nV4njFiw30OTaPe7VMLcPiG0/JS5reu8B8mF96su/cot3a7UHInb1kO3JillkZ5XUUacM6QmY3VL6H5RBWtAuhGIER2wEWi/he7XoaNh3w8V5fsmYuD8JvGgM4D8QEtc+A4E0Wo0+gM/fIJJqW+5UQ4L3V8zN1Co+FmTsx6a7rSuoc/jJ3iCYm/VnzPdl8SHKPz11KXmr+etE9CKnBv+vnqF/NZ56tIvlBLVdKD8iepph4kvrTpLknBUhg6d8wi7+1WX5cL6K2W3ojfEyadH97dQq0T+35zSqqz68//DVWTnuLzm6vLyraWNRlVLt7CHi1dtlvVK/qAF4c+JBSZ9olPbOXAS8ikQPeFeqXClZGfgiMZKeeHOSH319qFSdqQWya8qvdo4f4tqMNknIY5o0Ldr0OMo3oenunIrrIVZaRoePH6obvP+uPBKBHzmA9Loi0qBT1OCqTgGq9amSxIefVbL5LMA0aYcF6gQyT+7JstcPC7W9cfoQAHyghlhbcJy1fKkIunhKqeRW+lnVoSCdivR65IpRfICxa88Nelh5e/tiha0uTiGKzARfmRDZH7mCvRYXvzIll/SjbAWbrVqeLDgH/l7K9tWSpzXSv6RDap0XJlMuiQEiwucu/9FJkbr0JtCWtCkSkZ6er0D8CM7JOOQUCK7NfAzs7wvESv0z2G2Xv/k8ZZfQ/4s6bSUaO574wjkjqfJZyHxDL8gftVj8Ez//bf/+qe8XqZ9CySKZkNOuMgze39HBsN4OnQoRbQOzqEKo6t4PvwrGRe+A/mF32GA3ps+FP06kb/sO3DpVBi+A/+RimL3o2pt6uOsWq96Xee0WuRXp1rkdEyunB1AKghdjmMd4+e/parD59xfCLyaUiH23poob+dcP/+B61XPQV8b+PN+6tZ+FL3m+dmsKvkeMg0adrxUJadEjPMalp2xt5//6JZBxfHfi8bzOu37tv/+u1+8cjpVyu57zKWWXbNq4sZfKXVQ378hn2/e4xzp+edffqWKIVcpWFv7D1xGfD83ybQ/+gcV+rHS33NeNGBMpb+thLh8XzWr5Dq3Ii5I3lOfv4+PbqW3BB3joxv3lDvIEMqFQ4MWQCo9fZVGVVTdbPB+sL8zVaaXBdeshhaDk72EApeLfkodETNuRBoFhobOo9IcLXoVmXsVs7yBMTMFiSlNMQNbTSZRjlA8IB8kCKRxyT7rhmIFFgw9VAb23kKZuAKTqxanCK5iBrJfhbYWgv3J4YrBXmRg7w2MmSlITBN7OoteB7LXem03IhxhZ91oATe3wwu6uaXeQpm4ApeHfo3cH2IGsKdD8wV++74H8dcJPhc52EcDZeYKEtPEnjZw+eBwIHs8zmdhAOHaEc5+8W5ZsBcZ2VsLY2sKXO6S7SKQpotIgPCCaehstGAUnTbZFXej7M9Gy65ONBN12lXiyqKBTE2RBQgnPLRetLSdW+HF79xMb6E0XIHLRTYKAim6EApI12dNdRaeDkWvIgf5aGDMTEFimtlfPJkG9mfjumXA/qTE9KezP+kIBjx+KgN7b6FMXIHJTYulBder23vWkUJrpcGepo9A/pIqnc7d/my07OpEM1E/KSgx/fCrTAnxByRueKpTUuHBUxl4ewvlsPBuV+VAWg0A0lqYMRxJNRPhJ1c5aEcD5eQKEsfEe/UlQbeBbO+kj9y6Jq3aOPOLwguDOIvIW/9uTO1ql/vH9IFTC25ETlqRDI3bkDqhS5GDeDQwUqYgkUzEtc4jEL9OTagMCO1QWi/XyVuabobKQN1bKBG73sUqu9mBWEFLQGQS5SprSzM9lYN7NDBepiDxRO7zOLrsoAWiddkCGLIqIL1MyvwST7mKwdz/LiziapO1HlsAR7e3qiNcBDc0HpyzPboU2YlDAyNlChLJTHzxrBiI0x4ch7gDcslXg3uhFWaYBpsM1L2FErHrXZxS9SyYLk3qCwgnSAzuJ6dDDO6nJkx07t7AeJmCxDNxp82dNZE7bbfJjCyQqR8N7ob2euMdpyJQt78rDb/aZT2/Fs4QG25ETtrWCm9KIczwtxXG9B/EGxgtU5BovlNJUybff3oyTKumlY8ZNtmeBGRppkOEONVhrZLx5VceTy5ceGKZCDQNl7EWlCGhoYoADh/BG9S6PaCOcCZOUNuKfHC85+bjCjfO2zhH05JIy51jGEW8t5E8QfmdjpY8QUPJVsATlCaKfyozSAH0hbcxWq7FgRGfOYPEnjtBRdYkXfG+N6+KnQuA3og2TtS0ZOYPd3Btj5C1PM6doFNegNaVVMwJa6yCThhsLYyRqwjA5wfOmit7gCzp3cALtBmZvCBA8oK3MX6uBQhnF4w91NDJsUE0wOxn8gKNMSfeERQNhotpIqMXrIUxchUBdAmSA8eIMXeCpkxx3btzyDDEf4CpCdjhN/I2ztK0ZNrZFxRVpUNHh64qMSIIdX3QzBdSXAicYQWIwBvWxtmblgC4J3SH2nMnaMhaqentPOeFvrtOgsE+b+M8VUnmnZ1x0h5+dsZJkZfZGVSD/MDH4+Rw77Dn1IDwMNlaGCVXEcBhz7dDYsydoKoPpumlnGf4ZCqArog2ztK0ZNrZF8vOjAAkZ3TuBF0yMbPe1tCBjFmkAHrD2xgv1xLA0v2OgMSeO0GHPqHmDgmvBHdYCCa4w9s4UdOSmT/cIQlq0B2XbW0itHj6YJ1d9cr7LAqgN7yN0TIlIU8fQBlzy7oD0ElRSODkk0Oc4YcQAH0RbYylKcmssyu0WBe4Yg9XNSsGQpzDyzubh5zhd4MMAF9EG2UVWgLgntAZXqMMIT52DE6Wo8nwQ9hZZfixvI0TNS2ZeXLHpAxu1//X2rUjuQ3D0MmkSdInt9iMKEr8HGPP4Nb3r5f4PQBSsd6ZLfVMggAo0rTxCMzsDjrBtuyOccj/ZXDHaMS/Cu4QILnD2sB6k+LALinzAyT6PBN08FEXciuH8MPYAgRvhDawU4Vku7MzyvrGsxCMQXImeiZo/x9fDSJh9rBMDIi+QBszyoT4M48TXaHaPBPEt7mC3KJ/YmNsOzUF/dAGZpqUbPfFGbMK1cYhutZdsjNItT2+GbtcknONFIjeQBuzC1IAyEjJHVMze0aIU6MFd6zTUvAFn52CI+RT2Geds8FWSI2IVW2tl1d4cPHgbz9cdiXSV33zihTto8po8RGxcSCSCyQIkJwTYQxLQsG/vFpqI0m+gxQAPhAgVQVCbI0kW16pn7ZzFYGDq+QNyVnt02AF1Hai3GynN3re+90KqBX6eieq5WySG4CSM3IKSkrQ/80V1OjieV8/ZInY1BFb5PDVORKD5CeFstZRZFggcZyI+rUjgL8oNLnOayVG82LvED508RKIW/56Ib5o0cBr1I367f1I8UQLb4ag29eZH51SuYQ8bhLV3cdWOetgoaom/GcHnYMomzY48t6G0pXWhEgvDqJX4nAnMgYQZcysV4o4FSDUzN6kNhcoN3M7pXiVtjBdjHJz0e3h2hphxiQYocbGAOXGlFAAOqqAqxVfYtys5WtkSfO7Q0qXqVvd5F69sWlm26yssS12qip9xjaDiGmRdAPAKRkOKWkGUoxWg5FAvXFtFAomiJSbTY+81OvWY0lBeRTyTKW0vMyYUm4NJhzsm1mm1omSFqMfUpxG2Df2GObbEOXOmADj1mC+7dgEJRRRfaV7Up6n+rMJblTANs2vIsqVqVsxCrSQaeBz0G0m7axOwFn7DS1wF+FAmFtASpeBEOXT+NQq3cYVEcRVFwlXUx7fSfujDHH9Qvf4QRyHrdSWdjn+ujzv1IK3pfNBns/ki99OcPB98a+Dazs1MsQ/2YN7HUJmGMvd9Dn2UD8qfJaL9JIUc22SdF/yaLfdlO5oclUE7KYXkuAztMFueunFu+n7nw/AP5pNDQplbmRzdHJlYW0KZW5kb2JqCjE0OCAwIG9iago8PAovTGVuZ3RoIDUzNjMwCi9UeXBlIC9YT2JqZWN0Ci9TdWJ0eXBlIC9Gb3JtCi9Gb3JtVHlwZSAxCi9QVEVYLkZpbGVOYW1lICguL2ZpZ3VyZXMvY29uc2VudC10by11c2UtZGF0YS5wZGYpCi9QVEVYLlBhZ2VOdW1iZXIgMQovUFRFWC5JbmZvRGljdCAyMzYgMCBSCi9CQm94IFswIDAgMTE1MSAxNTMxXQovUmVzb3VyY2VzIDw8Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQovRXh0R1N0YXRlIDw8Ci9SNyAyMzcgMCBSCj4+Ci9Gb250IDw8Ci9SOCAyMzggMCBSCi9SMTAgMjM5IDAgUgo+Pgo+PgovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCnic3L1brybJch0G05RFNgWRoihbN9v92C3gbFXes14FCAb4Jum8SXpqgTKEPQIoA4fgv3dExm1FfXvOTM85hgRjMOgd66uMiBWRlZmVmZX115+vt/L54v/0328/fPqX/3Z9/s//z6fS38q85+e/+VQ+/yX9/18+nes+/9v/69Nffy5v1zV6PcCvrrf77mNb+XG/zTXn51+VfrXrbX3+4VMpvc23HtA7QKMRVAmKgh9AXvD//vTvPv+b73fh96e87bdyF/a8Xfvt3omfQsiv1TXfJkFQ8APICv5CF75HOaW2XpsyK1bqCiOr3sujWN76rOPzr+63Udp9C9G5mJVB7wDt+TZG48B6wQ8gL4hEv8OF71Eedfh/gCpbPvN//+0/f+rlemuUDnJ19GPMkVH7ojvx/dO8HoJe+/5S+v3TX/2Ln6DXKf1lJ3oBfSeXF11GT1oHovfXn4r8rf98++Hzv/o1tSr7c61vm13/9V/x1Zzqu7MmuohVFcocaS1vpXz+9Q+f/v2X/+nrr5js1euXP/hKf/VW95f/+euvxlu9x+wA/uHX8db7vfeXv3PKjFnal/+Fr2yLbocvf/crxaQUitn68kdfy3hbVOW+/PFBKWpk4D/8Vyo43sZ932TiP/76Lz/9619/+h+iKfB60/Z6m1elzFOM9n1uekPqJXWBtFCE+4eIlHp/0fMzalDbFJpSc4Pj0PexetH1+6lBdVPWidUc7W3PO9egWrSyjGoVaK1tFajfVIHor3Xd5cuf/L2oNv/hv8XfUOzvf6Vqs3tt7Qtc/Kdcr8aiuvSnrKxVqklaw2bbnUp5rfofqQGOZulqb3wL3m9977pPI6HIppDuJVrmVeZHiJZ6f9ED1evHiPar0t1ZkWhA38nqRdfvq4HiGraYdK5Z95c/48TfY91f/kFK8Xd2Pdrq/vAz+5nvHCfIDfnDz2yMftYgq1Adb6fe3W+1p8bPoPfXq17qXR0UPmqN+k3ETqtWqT6ZSO7VHiJ5yD0j30Au9CN8+yTivZo2cyzW6zriUVKpAopQQvhmDhjw/oncRICKliOKKhXNEJVXQB15D0DcVHVG4cH3G98e9a1SAn6qrtRBDfY8Y5J7v/XCsSr0l/TQAjFvbgoDaXVUaqK47lD9Hh0B+mOdyBlCPQVbeA+oXsRisxpRWy+qLzdpMcsGfAv/DOJQLOpjAqmdxjR3C7UOmGmOp0Hi3zsiQsHUGseXyHz7uTd94bHVG91Vle/600hdQy78XEljWdSOXNGd7Ddq09airqPOtzavxh0D/TnXaNyLLBlC/J2vVBl634VHIQTyr3/3a6O+4pqFruN2YrxR6zHOfU7NBzc7/4ls/BHbuGdb3HuQYlK3eHRCSvb68ien66GaWLnrYbsUGu6nzPAfQBPkLXvr5DZRoWbkOo2rAru1t35/7nWLeKtIqekufqMhZ7/i12tfUfIIqvfbJxEnJ5J+O6VmFUF1qkiXqk37XT2ystnjbz9jjEsVlvJBwVyT6uUZ4zq0O3m7yYk53iZXm5tv5UIu3iUBzJUima65xn67CmhxQC0xb4MmBYm6iNAyKVCU47CkAEfAvLFr3F/T8uT07dRpgivHEtIpwC4H6HVJ/mhYcEE6RWSKI/1eromlVYykGnCd9spKT2rZQbuKTGul381ZLZ19P4n9uV1lpxHVW0kZNmSz6sp9zUn3Wm91QswVYC6twgUX1bY6rbxLkFeHLmoGxmctP+f1RuM3SKoAzN6csGvcadXwIKEpPffKuoYmtPIQ3YF3v1s2tVUCyC2ZRb+cgkqp3X3/dExLIcUnRvVi/xgyVmvQUxWp++mxQNT3RdlsZ/BIrSc3EQ69Q43fVAtueZq1gh9AXvBnOFBn4/r1q1ON24/z+LmVbVOjTK3c51+ti/qeMxy+b1JzzYDecxdz3/U8mdPPOpIp15gkXrekxS6Y9BQhI41nER4c8R1hLXeptX+ee51GkfQ1ahgqaDy/U5hOY/z+tJdK/4ynvFLLeZCYd6Ex9DgGaehChYGyXbQoY2+9ilUaCZePLjJNL2NwuoCZTOrcpMo70IxLpdvoRZTLWeR+/hWg5/piQJuv4tZYqLkPAC9AQ4m3+QqgycThBJg75PqTlatUalLnqUk0JKhn0G8QVQ4aPC5JH1Xl/iFkBQ/x8vYjyDi3Qir2ClFk3tpBzKlXJIqduvYxEvYf7F6G/PSMzkPgqNiTLk0VW6+Iqj3bnK+/p8r9c2/t2akJpqYG6vmc3BemW9uviopO/bS0KB9c9aM1fY6aa7oDVrXn6PNVtEpF/Uiu6QpExTwFXkSr2GruA8ALdOqq9isAJjOH76jps1PHdTWs6Q5FtaaxAs//fQhFJZpj0ePA+hHI6iMUfIWsZodbr0gUo85casBHkLvwZPi9k88ftLqKNBpX0pMBtKet8YCkfSavaWTI8pxvheWxeCrNAXqK4r7igmuktyKYhxaNni+kOurDamvdnn7tijKlwjyKPPsofZ5tl2lsi3ohE+lJcu0Q26YHrlauBkIr8hwt4phVzKp4H1GUTHFJDKjgz+8G+PO7AcZQVbkohvz53Rx5D0DcNHVK4cH3lzy/t4uGEnudWFEi1wiI4zV5Hjog4n6/8TxUo5YVJXpGotrx7VNAg5qqIjFXZFKlqqzDlM4zQxN2RYaHd0Xi2V0Bfwg3nQGIWXhyN9/eESLnXaVSe4mIPbf/vNaFHqY7IUd5tQmRdf5y6B2g2o7spZ6yF3m04Y2H/XQ/NK3ghbqhAN4DoIGmzD1JgYdo9Yv+ut8+BKIAD2c/AsJke/qgwM5GH6Jd/tNT/oVHwJWjsnk2m3lfdAf1HtA7Qqvx8847FvwAsnpxYl33j0BRsE9uEz+G3Iko+ApVHlmM5MQHkBfUmc9fNFtUPlOLTcMInS36+zwp08fihaYzBTTnWWbiiaPV15c/5emdOe7y5e/59M0fn5+pSylf/ox/7vTECfNAf/iVbjb6+cw189ICDbVqAU1/ftDVZytf/uFXCix1QRvsx7TVHxxVpHWA+b/g4tdND1GzfflHPBM1SWo6YVWpo6t1yYQVr7WcCat/EBNW/+uHPqGn6F/4gv599wz6j/ef1H1OGzcbQqMs6smt/+wXt+Uj+k8DoP80KPWf/ao6dLXO4r51/Gbd5U39SwXAivxY/7lMo3Rvy66Wrk9F6RQX3TIhrC392BF7paaoe//Za9tnqpyV0ENyFWGE4P2nAd5/GqAMTZWLYij6T3Uk+k910/pPpfDg+4v6z9VPi439p0LYfyoUneGaN9/uANDovW7sQoklNWgN+1CKQ+F5CFfc61nCjE7UAOhFDYpu1BDvEU0vAGIbO1L1EDtSZeF9qdJ8ic4v7UsX6R0t9aUKYV+6N9/Uqfv8APKCH/ao+9pa5bUDVeAdgKK1WQsk0WucdX4vABSQDvQD4KXIE2jVgQ9Eu/w7etRNz97UaWKPqtB7gupbTb3UK+LVIzq8D6AoZ33nR4g5AMVeoUHd38pOfQBZwd+tN+0XtRD1/7e9KbWCc9fH8g8s5YD3/4iXk8a1xpc/+UpPHdROnL0J5n2sO/1vwIPXiuq1d7PVKhpOinez7vV77mp57rnd2NXO3XiC27vaya3ngq5WgW+fyqSbctWAdKqWhxh9rnPDkin+kfqtaVOl+rvPduLlLxOpq/DkXW9Lp2brLgUAal93R6BusdZ40jfEXnWx2YA9dM7dgX0AU3eLe2ZOxW/u0B3ubwSMrapzUcx982ioQ+8OqMOmTuk8+H9Hp0slaWjMCWw3VRMO3brnaaEUYe5Uvbh9UIR6uuu0KnTDnZYAgL7lcdMRqt+8+vUO0E3BWqzG1N5UhzapccsKfAP3FDqRvM7Kg0Fl0jhw1lAcgBrneBokHr4jIiRCr7B8Rub3suZc1uT1GN7S403fP/7KK+179C//RMbadeviMF3SqWWiVoacvBbvjuNJqN0HNm7RIv1TWYymFo1+Pw0itWypyeGf2dI/4saDHmd6heLc3rL+cpRa+X922qRRr2Lr1L1U828Pbe5+RamsNCJ8tHeP1rKUe9US691/fAy2dnVqlrmFpbbPGmBqDf/gNJGr0p9g+g+OTkoPBuFPvtJolnr0TYpOu8rl0UnzA55n/vSEa9BN92Gjb85Rk/4XX0elQutsJPzudjX2X8TSJu82gXVCaRLpWUTWYm2vTFqAf4/fbSvLo4A2iz/hjQ+PdeaQ52x5BvTGycTZ6W7YKyCfCrdJygB0HvMbTJdvvrnsoWpSWnnCeZcqtF6m9+leZB52xfuzyPcRs0c6IBZPeU7MIHfanh4BkAfM/97EouXUDpQHm+16m+3Zp9J4j9ow6FVbPeaiV/UrrGN6FHn2rI0e5D73cQ3dkjr6hdrOr8vYvlrD0j9nDN14eyc3yoP4yRiaWp63O40e4qp9nZl/ZsFPX/3jq1TX61NKK/wE0H1hnoqsNAaxK8bqBvT2AJjhrDo70Np9OuL4nZ76MkC3D1rQ331x3zQAcCwMe+5vfTx+Tyy+Y/Wm8Q5hXtntizdon2dCMv82chjtosFPHifYvHGl7AxZsCfPCmwhWqR7j6u4pTgVGQqSoTWTRb9K3UJdALlFao+2WKR2cax81YPi9y7fvFQ/3na569uYL/fevs+0Stx797M22RV+7+UiL/fenHSz8dBO9B1xUEXQfd6NN428AlrgPZc/9eJ3GrtwR9C4KlMN2Tp2+efw3OWPMx9uUrvSgJz3l9Lj34YR+igNgVHGYaMDXhN9hG6Aj9AdkCG1qdMBt5nzEbo55CN0GjtUuMKyp+pctBG6AT5CN0AdNnVK58H/O0bojbfW3jH6ptBda+F4nLlf6zybKzK4e+AZGhvcAqAj9EB8hB6QDqRDrQ61w7KP0MM9H6G3m2e+YNDe7nY6UlccgI/QA7IROiBCIvQKy2dkvm9GrPNAYJwHgFre9tlTNLZO1Sn0DpD3IlHwA8gLPvoauk2p2e9jyL1MRc8sqwLvAXRdg9cCD9EqW+flzQ+BKCCzvK9AmNQiL8DapnR8INrlP71pc/BE0XksXDev4zN0zbOib9B7goqs0mDBV0irB0VsnYnXVyAKzYv3dP4I5A54uSfCg7V5J/MfQF7ul8+H8VzY4r6ChquXT4lRT8q7R/U5ptEziT2iUZcBT0wx66PPLPUeX/7sPCuOZo99Y3d+YGJNZdyvj4X8+/Ox8OhEm/E898/Iuz34jauYs4rHujB45sL4qfNs3/utz4bUr+Znw9OhzAZTdqH59dnwF815vYwlEbr3qSsw2Bj83NZ5s0Th0QTJdL8PknnnXnGZmleeEYoLqHHlPdXcWClCd2M5WzNVpctmlXUYtOctjnD9ojh06fmsK91bxpBbHwup4LmR9Yr3Z5HnQINuaX4GoNa9WfN0AGqu9W0LqpjX6RwfgBV5f+r43Ycb3M5Qk9qpab9tuIEV5c8/GGVYJPqtY7B5zTuNwV5jNe+dnlkeOn5GOxd5Gmfp9NhtUyAfI0I2S5MX4+jhcPOy94dXqa6XnmRs3tu87JFzcN2oyX/+fUxt9q0uACD8pu0Hs8oRV9z99EVQ5J45RnrFsqdY0xGAWZnF6+TzCuDxHU8tY1GNOOt0i1rp+7z9vemvPCKPq8g12Xk8eA/0HhmyaM+ua8mDR/dnwB9X8ZCwrFyQDPErAWDRr1K/UBdAbpFqoAWCGo+ernpy/O5Xnn0o548t/NKsPLWlx5YxW35seb0h7AobKT+K/Kw5jJcbAidn3KGYnFEo5mJ0vSEAXZL4/35y5rnKMErV+QKd9jfAVxkM0EWDwVuLUVz2apoC0xYZHWiytK7qpuxlM3PTtraZQ9M21emygAG6aGDqXLx0S4EBxTasO9B1lWIj4Qf/X7LKQI1ao8ECLjMYBOsMBvnE1/GQ/giANyEXXGggkrfM8AHE3WaNhYbBb96MEQsNBsBCg0Gw0GCQLxmYYgDEOCw0qIew0GAkQq/SfInO72mpYfGYgVIS/ec/hhXPfwIT8rowQEMtXgfde5038e3RPq012LJAWmuwgRwO1Hw6QBYwaJiztThVI5yGxwVdW7v9i/iZRnc80CtnS9FZhl3X0oFl2TTWrfWxZUkGpDWPG30uP1ZG0lLAB47HQsOPOfbdw82omzzvd9478alcg9JU7ujW2Ojk6uCh5oaZ29F8S20u8uFU7qjDppN4Khe0nV9H3fZa7tMalv6eqdzBLzed1WSfSwumcdUY9oKrTeV+dJXq+rGp3NFlMsynctF/uaLZ2olO5SLADNtaaSIWfpepWizAUyJhQX/vPiGnGgBgC91e69KpXPw9sfglU7mjc5PdYSoXw2gXNWqS7rNBxKZyEbJgd2rBmhKV6Ve4yiZpsaBO5YJFv0rdQl0AuUVqrEaaysWrHhR/8VQu3Hs2lfu492ReFu69+1mb9Iq493KRD6dyR1+2xfiIdOfbXr4zc/sKaIH3XP73NpU7Gj1b9V84lRvDIJ1bjWGQzr0aoDOzNqpw0YZBBvgwyAEZt5g6HdWYOR8GmUM+DNK5VwMse6rORRsGGeDDIAe6TgWLOqXz4P9LpnJjGOQzqjEM8llXg3wwbyOIAGwYFIgPgwCS0Uro1fFM2PZhUHjowyCfdTXI52VNMQA2DArIhkGBKInQqzRfovML53PHeal/4nyuQTCfG11JFPwA8oIfzeeOetk72jJ9a8A7APr8awWS6DVOp15fAShwpm8/AtykFXkCLfvwEO3ynz+fSypobJnmcw16TxDPJn5+TwVfIa0gNun6ARCFdPL2Y8gd8HIvCF+crb8iVup3mc0dZ+iNzatucLxtr8mWzSSnpb3a+G0bHHkri2xwpDtYJ4OvkvYA4fjV5opl3E0DucXztrAX8uxluRGLQjq+LbId6HefVrVxHUJrnkPAsONfu5OvMK+6+ZyfDhOrCsDMqiI4tapQzK2qXgDENkyu0k1C7dH9OU2uUq1qMpDUiSy6VXSyQyfU7Ir3Z5Efm1zdXYemBkzbtGNzqS+AFnl/6vi9Ta7y+5W+D+1nTq6O2rXf18nVGBW9xkrmkl6vUB3fM7k66mqyecrnkmLUFlcNqkEyiLDJ1Y+uUl0fT66OPoclf8pDQ/hfzxNATGqeugCA8Gs2x2SVI66QqVMsciZXwYZeoV6EjgDUSi/D6+TzCuDxSyZXR6fx7EyTqxBHv6pRvTSDMrmKkEWbzwyTCW+bEIWrbNoUC+rkKlj0q9Qv1AWQW+yy5qIzq3DJk+AvnlmNpwifWc1PETpNGk8Rr3eDXuFPEY8iP2tm9cd3bVP+m0xBOdDPKym2adv89U3bBsCm7czp7MIORjZf6Izk9xbzkdd3snm5t2GeOFzxeWKDfA7YKAJwgvDfYZp47amb0W8+T8CB9098ziAA7brODb/LlcSuW0UUmL1oeQf6AVTd7Lq3XcyZ6NPEBvg0sQGaRVPnopiLaeIdW/MVKFp+I+EH/180Tbx55HGmie+mT/0KcfS4Dx8B1Zv36HBd5fnyeyCwqnT3DlFtKjpPHNAu55gxUzx5xyLPE5txA2Ce2CCYJzbIZ3xNMQBiHOeJ1UWcKFYaMVGsRF/i83uaKG48bcNHdfX5YxPFFzXAZVbYnP2TM8WwK52GlPy61cfbsGOX9p/6MBRW9/EtndiHDW+/5FdlbHIXDlp73aAA56zJRDK1DO3mF9/SRHJQFHPrbittZE9v5rye6/aHuIfCtq/DrnNwI71MdCaeO5HDWfZQG4N93esuOz/sZ2Cus+R8l+5fuDW/NNho8he/Laih8M/9jYZnAXmNILaeYO7++S+YTvdbuMxzdgtMpxuUptN560vaGT2Lz3jrFZedgvIo8vF0+n032BkN2vjXycdWbZhOf/xupb9nOp0q55STvHw+M5jGVXxe0iWvAOp0+kdXqa4fm06nx8Cuh3bKdDr6L1dc03c+n+l0AipGoBR7IVMmw+F3mS5HDbujBf1dfQgNABwL3V7olOl0/D2x+CXT6ZOPxbxwOh3DaBddNIKX92dtOn3ygRctTaeTo/1tpel0uMomylGXTqeDRb9K3UJdALnFra+B2mw6XvRg+Itn0+HWO9uUXm89GqjjjXfz2ZmY6PN73HZ4+es8+jj3UfVXixW4uu+p5lOcPgCqv/ibdfw+ZtNPong+2c8S/ef+phY0pB/NplOl3rL9S+Mz+Nm8OkAPBfKCvQFjnHenzzMgiHfR4zwVmM3Oq3VAXkFQdbPdW8SB4jdzyIAzAYyA5U/Vuejn9ApgDr07oA6rOqPz4P9ds+n8Mh0/1mzeqnVm0/lRY90BvUs4z/KqQoO3a/Lo8S5ntBYyNR/rTA0pQhSp/59HiSKdJ0vrZ1c6e2tnRt4MG/At3DPoRGKdB1uD2k1tXOmhOAC1zXoUMgffERIOrthIvsTmO+fS6dHgbZZjYMmOts7HLPKBGQa9BxT9iBf8AIqCz7n0dc4fI362/ZCPE+0OvAfQ9AnIi7wAxYu0K1VDB6LI6B8D/VnkBZhPsy9Abz9zoZzG3DTCO8lcgx99GaK/+Lw6g94R4jcGu8wSWsEPIKsrFLr+dn+MeLHFh5+vH4HcBS/3ipyJjWT/FbFSv8u8euGuivq1t3KlQ5vpgeQMfM+DylUm/U2NTqlj255nPkj5fz9HNLe59EAAmeuM+Xh4dTReA9Xnj7rP80cUg8E7jWJtX0s8EfxRzKT/xAOIlf0/jvlRzlg6v74rDxG/5UwApBIbr39FzURpL4dQuxvyLEIjk4YPVMjy9VGkblgu+FP46/kyLXmBGQmPf3rjt+1hf3ny+DiasJLx519p6EHJ/LjAjz14nL66ri//5++w0mFDboR4p8LpQAIaNCCm0r7SMXnhae5Y6TAgVjoMgZUOg3zG0/QGoLZhpWM2OeEmrXRMHtd2WOmYdeWtw3bF+7PIj6x0zGHnfhrA89QXLGy8AsMm2x46fm8rHZNaP28zfu5KB+/En7DSEWPW11jJ3O7LFabje1Y65lVs6tNmQ2NEDdmkjNe00vHRVarr45WOWS/b9SsrHeg//37egMa6AIBEoJT8jgFcIesYWOSsdIANvaLaqT2mIwCzMorXyecVwOOXrHTMeu5+XOmAOPpVF3/gIq10IGTR5gNtR1rpgKtsDQML6koHWPSr1C/UBZBb5INfy2dY7ICrnhy/e7HDxr3+jOdrHfkZTxcu4inv9X7QK/w571Hk+1YHwiFfHQiHfHXAoJj65+0cCwGel/nv/4b/j6/hqINw5rZSsDUc4+hrOAbAGk7O1VmUiUzZdL9nSn73PKXLf16WnsctE7T7edvhcbg6hXHCgerzbnIot58Dzb/Heerp8mfvs6vMF62me3Koaz+tiwLvn+g2ulzc9Gx+fp3nudXFu8mmLgUWa91SWoFxgKNsVXFNTZn4zZwxgErzJNSOAuV0KK7MxKofnVHA3HkPQN0VdU4mc/+Oh+jN1Ym3Zc3F4/Ny4tbPpzEcIuuLz4UbARHhdTZITT5xjWosAO2SJReH1jm9fxw9DvF5ivWzK16NR2asR40b8C1cNIijQaMEXirxYrwZj5tuVxyAGGc9CpmL7wgpDVPsRJ/x+b0suZz3Os53AeDrM7rdvA3+5gwPbPlYHB3HF37vaIzHOF4OLaMHhg8eUmrt1c/KaQO2DenIeIy8hX3zKIJ88s/PGdCtbw3gjN725NyxeObRSJwuULSp7r5N+HWfY8m9rIlFZn0ewLsD/hU7A6o0TKa/3j2sq3CsH9/8V/HcyyaqnFLntrShN4D3k2xkT0+H7KFZGHJOtNgfdmi0eee/iu9e1kS1/wCCrLoDwLRgS3TnCOsqBHv/VblZ2UQV2c/ecu6XTWMEsDD3a1wRfRWCvf8qvntZE1vOPRgTQN0BoN2Yez652q2rEOz9V+VmZRNVZL9Lz7n3t10DWJj7W16hFPsqBHv/VXz3sia2nHswJoC6g8CFud/XCusqBHv/1bhdGAzVjezvPVLu97VHyv3mYWvkfl9y4Pqxb4Kzj1+P71HWxJFyj8Y0HHaydQAFc38vaHXutXPu/VfjVjAYqhvYU7s/U+53HSPlfuurL8a+ylHbwl6FYO+/Cjsva+JIuUdjAhR7ZgqgQu637kwX6yo4+/jVuFUIhulG9q1OedA1oNeVc9/r2XloFrp8zkLsqxDs/Vfx3cuauHLuwZgA6g4CDXK/W7nDugrB3n81bg2DobqRfZeFjWA/7pVzP6VXMgvzilbXhGA/UxcXZUVU3cEejGk4bOElgI655xfT3boKwd5/NW7YAZpuZD/nzrnnI+kqsl/SK5mF5R3gdCHYr9TFRVkVp9p/AEFW3UFgYO75hXK3rkKw91+NG3aAphvZb3v2MIAfQVLudSbfLNw9Wl0Tgv2durgoq6LoDvZgTADfYuVAs2Af/Tz/59ZVCPb+q3KzsokqsL+vcqXc3z6bE0CD3N/FO8DpgrOPX4/vUdbEK+UejQmg7gBw4VjvPidlmHUVnH38qtxSB2i6kf1ZHkf2deex3l03jvVIjFbXhGBfUxcXZU3MYz00puHYeax3nzd4g31Z0eqYEOz9V+VmZRNVZN+kVwj2fdSc+y69klnoI1pdE4J9T11clDWx5tyDMQHUHQA6jvVu3tzh1lUI9v6rcksdoOlG9qPmsd49ax7r3bPiWO+eLVpdE4K9/yq+e1kT81gPjQkwah7r3cO7uKN/lGh1TAj2/qtySx2g6Ub28+459+vuOfdLeiWzsK9odU0I9jt1cVHWxJ5zD8Y0HHfPuZ83jvVuPirDrasQ7P1X44YdoOlG9nvmsd59zzzWIwDHeve9otU1Idj7r+K7lzUxj/XQmAB75rEeAQVzvwe0OnvksV78atywAzTdwL5cPIe6gn25CgEt2DNwvzl7EnlSW+yb4Ozj1+N7lHWRdTt7NKaAuJMA3rDt+q96h3URnH386tykbKKa2Fd+CRLZNwJuZM/rKiPY80u5t9kXAdjbr+q7lTXx6Ab2YUwBcScBGmzRzwsbxayLAOztV+fWMBiiO7HnXSUp93y4W8o9b1mG3PNmIY++CMDeflXfrayJRzewD2MWjuNOAgbmnhdJ3boIwN5+dW4DgyG6E/vR75x7Pqx0IXveGtaC/aRezHMvArC3X9V3K2tiF/sPAMiKOwkYmHt+jcqtiwDs7VfnNjAYojuxX/XKueeFrJR7XkGC3G/eNWj2RQD29qv6bmVdvHLuw5gC4g4CRYMt+leBVkcEYG+/Gjctm6gm9rwPKuX+vq+c+5t6Csg9fw3Roy8CsLdf1Xcr6+KVcx/GLBzHHQT2wtzzuqdbFwHY26/GTcsmqsi+8K5bzH0ps6bcEzAg94WXGyz6KgR7/1V897Iu1pR7MKaAuIPAWJB7EqPVUSHY+6/GTcsmqol9Pb0CsG+tptwTMCH3pVkHOF0A9i11cV7WxZpyD8YUEHcQsC5O9NcarY4KwN5+NW6pA1Tdif05WxLZj6vn3I9rYe5HiVZXBWA/UhfnZV3sOfdhTAFxBwDe1g25589puXURgL39annTsolqYj9OrwDs5+o59/P0Sm5h7mh1VQD2M3VxXtbFnnMfxiwcx50EFMw9n7nn1kUA9varc8MOUHUn9qvnsV7ZPY/1Cr9SDLk/n/sx+yIAe/tVfbeyLuaxHhhTQNxJQMHcrwatjgjA3n51btgBqu7EnqfcMfeVP5eAua/X6ZXMAonR6qoQ7P1X8d3Lmlhmyj0YU7LiTgJwrFd454fnXgRgb786N+wAVTey5818Kfe17DzWq/wJ9cg9idHqqgDs7VdlZ2VN3HmsB8YsHDsPfwhokHsSo9VRIdj7r84NO0DVndjzlHvKfRt5rFfbxLFebTNaXRWAfUtdnJc1ceSxHhhTQNxJAI71SIxWRwVgb786N+wAVXdi30+vAOz5qOqU+3F6JbcwrAOcLgD7kbo4L+tiHuuBMQXEnQTgWI+XqsO6CMDefnVu2AGq7sR+XnmsV3n7eMr9unCsR2K0uioA+5W6OC/rYh7rgTEFxB0Axo1jPRKh1REB2NuvlrfUAaruxP58lA/Z72X2HeiY+20d4HQB2O/UxXlZF+2RNAFAVtxBYOJYr/KOFrcuArC3X41b6gBVd2LPU+6Y+3b1PNYjAMd67erR6qoQ7P1X8d3LupjHemBMyYo7CDQNtrDnE/I99yIAe/vVuGnZRBXZt3J6BWBfS0u5J2BC7lu1DnC6AOxr6uK8rIst5R6MKSDuIHDhWI/EaHVUCPb+q3FLHaDqTux5yj3lnrd/pNzz7iBx6Ozao7H5Ze0yf5LrANZrDy7QivcalxTgDTUHOG/Zl/PKn0zpdCHVqhltp0C1jvDsHETgEqcAwCvOyuFR2KT1d9F6ZgfuM/Fhpbu0zqbd62jD349DGgMt8BQ1IF5+SA7F3IlQlwJqn9+JOiLfo7+JoDdv/ScSpjxfr8KyGS4NZrHxsgM4aiBRuzETbdxgVfK27CQARE7Wb+D3nQfoBFxwwzbewOfNhQhQZe1Xr5AX1mDRfarsaBEIqrC9rVw3eAl9RnT6OU3Mq0KIWhUCOKnw0pJK126pVOtWEUYvePnoA5WFqMYCOM54aXEVmR2qzW41I1vnzPW+Tqj1PJqBWh+iWg/geKdlxXPXbETdtlFtUs3k8rYaqgpRTQVwXGlYXzOrQ1T2ZALR637c8dedQkXD1tBugto28Xjm5cRv12s03bLRLPeNBeoF+TTB4nlBLr2cOJgZHZL8mWvM5ror1tR3BiJM6y4apqMfRLEOAPtmZY/Xodloum2jedUNUWkXNkchWkQdkHhXaIoyKya69nlLGIiugblc63x2xInS42fQNEFJmngoejkhqVqVYlhViou3o8Pl1KyHKhPUjInHBS8n7mU2hyBPZVQkOHbJmRwLb9TF7+RALkNU+wEc77y0eO7ajarbN6rnQ15RYO6N6kJUcwEcd7y0OJvZHcL8HvREwr1cSJfPu4WQ9UtDJvpDVPsBHP+8tHivuo2s2zayo2BdJnGishAttg5I7AvW1wezQ7adr1sDWf6+O45HCEgBq6mLAVE9qKmLidLiv2s3wm7fCPMfUKClTgZENddSJxOlxdnM7hAuNoAzwtejm1nXbFCIxAtDGqJ6EMDx0EuL/9ejqwn7RrgsrN8kdlQXopoL4LjjpcXZzI4Jz/tGupNfrsL8zp06G7pbbggoiGIfAPYvSh/vQ7vSNetKlkSs34v34kB2Q7TYOnCcuVO3k5gdqvvR6dBwq6fcEoDhmqss6LlBVLIBHLJeWsi6diO7Hx3P5E+gQwE5YiJi1/JIHQCJfcXa+2B3CNPQGumO0dJAYo6eAjag83FBbQ/ofKKc+O16jajaNZpzYJ2eEzofF9TMhM4nyol7yObQ67vmfLZH18PHH0R5XtkFgiGq7QCOZ1pWfG6PbidsG8m+geI5WzxUhaimAjiuaFlxM7M6ROmhNQ0iZi0lZ7KmTofE6NJcUNsmHs9q6m5Cr9F0y0azpQ6HxA0RKzvFs2yIdupqHowOyfLoaubV7pzNq0GYrlah3wZRrQdwfNOy4rVrNprl0c3wKTtxeek4ugRRTQVwXNGy4mZ56WLO6QiYzbEnNkIkYqhIxA4GxKGfCEsdTJQ+vptuJRq2lei4F9ZjErF7AVGN3al7idLiamZ2yPIuLszqmI8OhgDsk8/xtRFMENWDAI6HXlr8n48OJuwbYf5AGxTYF442QbToXjhajdLibGZ3CM860gBijIqVmES8dccoGwMaotoP4Pg3Uhdjuo2s2zayM3UwYzYca4JosW04Vo3SmpnE7JDtqYMZbfSc23MYa2hoNtkl+kNU+wEc/7y0eO/ajW5P3QyJWLepw8KRJohqLIDjjJcWV/ujsxl1t5zXsmsaPJxD3iFcJXU3IKr9krqbKC3eu3Yj6/aNbt1Ys0dNXQ6Iaq6mLidKi7OZ3SFcSrpvr0eXM3hndBQhEUfaIKr9AI5/Xlq8vx4dj1k3sqVgzSYRR5kgWmwLjlKjtGam5Hu23/1KA4nOm9wxt31D19N3wwkdEMU6AOydlT2eh2YlGraVKgEhdn4TAFSFqKYCOK7c0PU8WB2i69H19DnvlNUur3G7jjkjjC6obROPZ15O/Ha9RnM9Op6+FtZnEoGmCWrIxOOElxMH10uX08e9czb7vdJAggAIU08dDohqvacOx8qK167ZaLptozmvClFJnQ2IFtHU2VhZcTOzOkR7nTmbLXU1JGLvzGf4h24T1LKJxy8vJ1631MmEVaPYG9ZgEjFaLceyYaQb1s8Hm0OwjpEGD72MkTNZUgfTS8fJHBDVfgDHu5I6mNBuVN2+Ua2piyGPcYwJopoL4LhTUxfzYHcIX49Opt0b+9N2PurqgBzP5vpBFPsA3PKha0yU6Tay16OD6dfGutyvG8eZICrZAA5ZLy1kr5cOpt2pg2l80kUiu9PCFonYwYCoZHfqYKK0kHXtStesK9l2F6zVJGIHA6JFNnUwUVrz8uhg2kqLG3ze5KODaTMt3ZCI42wQ1X4Ax7+ZlmZCu5FdaWnmnQGs2Y1nk0FdiGougOOOlxZnM7tDeMAiB9HlI8JTbnvqZlqfOJEDotoP4PjXU2cT2o3ugOWZdxaxZpOIo0wQ1VgAx5mROpzE7FBtj+6m1TsvyJ7FQghXvXEaB0S1H8Dxr6ZlmtBuZNujy2n9wumYc9orqAvRYnvhODVKi7Ptpduh3iF3O63UvOxIQApZgY7HBbVeoOOJcuK56zWq9dH1tNqwXpPYIW6p63FRYt6wxj4YHZLXyMuNlIXc9RAQnOvdcXQNolgHgH2zssfr0Gw0r5GXG9s1oz43nkGGfIaoRAM4VLWsEM2smGjdOy831rXzciMBePPWtaIlcEFpmnhIrtTdhF6lGZaVJgFYk+mBJe5SF9SQiceJnbqaB6NDkvf5Y2dT+fyplM0Jizh1XjihA6JaD+D4NmGRJjQbTbdtNFfZEJWKo0sQLaIVR6dWVjORWB2i49HR1N5TLntaviERuxkQ1XpP3UyUFt9VtxEdj06GAKzHJGInA6IaG6mTidLi6njpZGpbeemx1kc3U/MeARJxfA2iehDA8TDvAwjtRritvPRY28IaXfndIVAXopoL4LjjpcXZzO4QzuvqRLhcuPRY806Bet04nQOi2g/g+Jf3A5huI5v3AnBsUzdTeSYZlIVosb1wrBqlxdXM7JDFlfUfPpW75oVHAjBc5a44nQOi2AeA/YvSx/vQbnRxTwBHtuF0DIk41gTRIttwrBqlNS81N09lPzqbskZedCQAw1VW6m5AVLIrdTdRWsi6diVb9qPDKXtizSYRuxwQ1dxOXU6UFmf3S6dT5sZqXMajyyl5D0EZC0fbIKr9AI5/eY9AaDe6c2NF1u/O+OX8fUpQFqIaC+A446XFVWR2qOY1diLbS150LLh/oPQLJ3RAVOsBHO9wf0BoNqJ5dwDHFbqewnPJoCpEi2rFcaqV1YyU52JjYa3pjq09LzfS6C6FqjbQboLaNvF45uXEb9drNN2y0Wwdp2VKGzHGdEENmXic8HLiYGZ0SJZHl8PvDKaBRLlgMYff1oQWHkS1fqUOx8qK167ZaJZHd0MAkCypswFRTZXU2VhZcbO8dDXU+Oclxzv1NLyOT08Gjuw7VNvful/qDqeg1PH5Tj1MmDR+14XVl8QNobp2CuS1IcwXVs4HlbP9rJKO+wZ6fJLVvgpSfCCbx3UwIfebT+sOm7xhbdr1uklt2PVHpuu3a+jyZsPa1QPCO04XNVzq16H8t5/4YEPVOmQLKm9WVy0HQXmdnWEhC98ltWo1Ka+S7E9V6b5B6ues0NBzPuDNW8zUt647rBd/W+D4plc4G9UQ7G55tQQQsw+I7Ihe0oBOjer2LOhX6PgsS43RKIpcHiN9Q1SWuLsw5nMlLO66K5dfc4I4p2wbEnXEkFbTNbt5ddadnyHb1s9AZO9nzXXqUQ91Qx1HcPIu9R9UGlO2Pqu0Wsoz75BbkB+RMT96hcdaNYSsb+ZCBo/994RILfCcz5qsdn1hFuqNXDGhNHALrvPcDcaVJ5OiLi7+2g1w5YkorIsiI1e9wv1WDSCXR12cL3fjbBJR08mzbWhVZOSqV0woDdyCK5/FHnmlp1ixrFK+n/fNWQmrIiNXvcL9Vg0gyztQgJTyyCvPk2Je99VTXre+DAt+yRUTSgO3b5/+6hM9J3Ua4/7Np+vzX/7UybGz1rfrHMva9SzmgPgrjOdjfT8BDbL3eZ/16XGAmw8O3mf9ugVw3l6oci6sX3NuUdQSQJGP471A7wCp1wni06X55SqzRe2FOqj+KMCqzee4xsJhWh7xkVdVDBzUK10lBe0crT1ShD6Ezue1w4HJL+nc4KQCGDS/xqi6lgD0uzUvEEZIvU7QdatqtcVfQRQH1R8FMGhxjYXDtDzik4M25VtmGDSenNKzg34rdHOr7fYX3V93Ax8VwJj5NcbUlIQ87NTJB4TxUZ8zdPG53JAefcfOM+gv4XmS7QqPhKp4hCbHix/g9krxuseyDP42aF78HZiwf/O50wNcVAAD5tcYT9figFjCiIFxg9TrDDVVrbb41fOJIVMAYxbXeDhUyyM+KWibjxTq6c7chd9gSrfhhxCfvQB35uazjhbcmQZA0OIapRpaHBBLEDQ0bpB6naHOHyMIWxd5WuDONACCBtd4OFTLIz45aJVfem0paI1H7ztF6EOon/dZzX6jfqlU8FEBjJlfY0xNScjHDoYMTBukPiNU7qWaLT23HiroKbz92EFPs19jFcG0PKKTQ9boCeGaKWSdhnc93YkfQ+NtQ2u2+SsNHW5OAzBmfo1RdS0BNMnrC4QRUq8TNLd2wJYfagh2wxwKgEGLaywcpuURnxy0QYPCHLPJw8SeAvQhRO3nhJhNfqV+g48KYMz8GmPqWgI4ljBmYNwgcTojl2pWU6Mt9U/dUQBDFtd4MFRLjk6O2DkaKd+Zmzr/a6X4fAjdcnSs2ecjnloBHxXAkPk1xtS1BHAsYcjAuEHqdYaqqlZby46WN39WHD5vPsc1Hg7V8ohPDtpZmMr17CZo5hvxI4gGDRXvzZtG9huGkAZg0Pwao+paHBBLGDQw7nEUrzPUtAu2BPF7Udi+KoBBi2s8HKrlEZ8UtPsaN3dlELSbPxuiafxt0GznIw7mwM1vu2BHZQAELa5RqqHFAbEEQUPjBqnXGZqqWm1do6qD6o8CEDS4xsMxU09qlnLQKtloNQWt8Qb4dC9+DE05+NEc4LmMBbenARg0v8aoupYAjiUMGhg3SL1OkJ4HZ6b4nKoL7k4DMGZxjUVDlTyik0PGGx1mujnvQVAaV3yIrPNlELfOJ1ldcGsagAHza4ymawmADWG8wrQh6nGGLv52JqSGN8BXTJ8AGK+4xkOhWh6xyQHjWaSSb8xJUMt34YfQzR+iDwf4pfiBN6YCGDK/xqi6lgCOJYwZGPcwitcZKm8Nb8xBg4Ybb0wFMGhxjYdDtTzik4PGX6sY+cbkjxhpGn8bNM4XmcMB/mQZ3ggiY8jsCuPpKhwQMxgxsGyQupwhOS7BLC0+BByGPQZgwOIaD4UoeYQmx+uuVBUHxotPZyVNGJwfgfh+cfsM8Keu3EcDIGJxjRINLQCwJQgZGrf4qNcJogFBxTuTP8q1sWFVAGMW11g4TMsjPilo5BF/njcHjU/WGjlCH0Jy2qkHrZztZRA0AVLQ7BoPiGkBwA7QeEDvKY7H6wzt9QYDWgb6W0lJPAAEDa7xcKiWR3weQat+mqVD/DhRcoQ+hNbbwqC1dWUnBUhBs2ucqmkBwJg9oBSh6odeBjTk5BS3VYecsOP+CJCC5td4OFTLIz6PoPWzsyEFjb9l13OEPoRuDNno9W2iiwKkkNk1TnTg5KNZSQELww6Jxw+oiGKz1Guq8z03Zf57BEHKP6LyCBXvEps5VMuPBfqtULlwmpGB1I6xmAIlvzs9Kx/AZel/QCkq4u8Dahimcd84wWhACpVfE2F4iPP5cEneLDtmz6G97reW4/IRxN+0xFDtPd8GuihACpdd4zRNSwDLeD2gFB3x+gHJQWORmlWw1zYghcyviXD0HEOx9Ajafb5xi0Gj6F9vaRjxI1B/gxGsnH2LN4ACGDS/xqi6FgCutzS4QOMeIfE6Q33mRv8+OzwgaAKkoPk1Hg7V8ohPDhofbZtDxt88zO37x9BMTT6pudLgQoEUMrvGw2FaAGiPJh+MO8Q+Z4A/XQ4BK/yCGzb4CmDA4hoPhWpJsXmEq54TqVPA2t0fbfvH0E4Di8Kf5EsuCpACZtc4UdMCQH80+WA8Ynj3x71K0PW2MGT8AmRJCdzrMbCIayIcV46hWHoErZ99oyloY+Y2/gNgXW8TA8bn4OBNoEAKmF3jNE1LADM3/G7YAfH2AVUMVR936qsVSKHyayII9fNLTB6Bmm0/BhNltf1o4z+E9NBeN7/03Hp3UYAULLvGaZqWANp+NPtg3CHx+gF1nLVg4ErNvgIpZH5NhKPjtIVZegSNv8GXh600tL7yLMWPQGmNhIGdbwEBUtDsGqdqWgC48swFGndIvM7QNfChkoGWkyhACppf4+FQLY/4PIJ271zP6sWfMkrx+Rga6Zmy8gcIsdlXAEPm1xhR1wJAfTxTgvGI4n4CZwsfJufsGMcEHiAFzK/xUKiWFJscrlrGY32Ejwfuj3Hqx9BOQ1fq8fL4R4EUMLvGg2FaAOiPASwYd0i8zlC/U7NPwEpDWAUwZHGNh0O1POLzCJoc4ZmC1mseen0E3GlgUfnQxeSgAClgdo3TNC0A5JGYG3YgDhwFqKbBa5VjS8EXAVKw/JoIQ83Ra/rtgRSsfk7OSMHiN5wf0fkAmhcOKyq/Mo19kwIpXHaNExUdLoqVFK4wHBE8Hj+glp4jCbhS6khMwdLfIwgtdZpq4xEqfpc+Dyfq0u15PwGtlhp8AvKYR4EULLvGSZqWAKadbvyAUmzE6wc007CVgJoafAVSyPyaCMdMgzK19Aja7uXxRElDtfJs3z+Eem7y776zkwKkoNk1TtW0AFCeTX4Yd2j38hj8193SgggDLTX6CqSg+TUejrZyFHcvL0+U7TrvrmHQzvnIeRzxMaRTrepAoyYSXDwiBkx/N5JeHoDHcgiadUj8zdC107MkATP12ApguOIaD4RqeUTmEa6y80R1i1N/fzu0U5Pf6l1Tk69ACphd40RNCwDj8SwJxiOKezyBkhr9xt98XCl5B0gB82siFCU1+sfOI1y8P/0RMJ4DfURHPpHAEC/57wOd93nOVWf3DUPnjZ9zVeEVH4buoiN1ytUqAl2q/rp499GBtk5DX/XtFov3koKDPwE4GeIFsVugrZQD4o823Bnigx1KQAQMDV6XPUUIyJgeIeLA3wsOLYVnMdFS0ZlO8KfoTOeg4ebuWOwFuM/qI+rhWbgxwvgJyOIdJ+EPH/19K8BPlb/BNPEW/0fmlDt/lbLODwF+DyA/8lNul93CAc00zCVgvNUM5DmAxrt+8lOaQgnguvabdM1YjzWJ8wrBSrbGlR7DFUi3g18TVb3m+0MsnRuCP618Q8DohuCqu2qqUo0SXTpEkYOwBlQpBLRKASQpBC1SFcCSVQXwx6pU54+0TCjW+QUOrKsAmHGEjoOgRSg8mcu53pVvW4xGpajVnqJRS74zCRhv1wZjCKhDAInToEVogSWLRrhjweCD+PfGGNbtaiTKAXgmAJJshRbNZ+YtR3/zdGlNwbhGSUF855dbFu/XClVX5xmwsAWyuhOIeAwqhBOYsUiAMxYKPiAHa1OhWr1u0AuAmUboeBdKxPsn6fOyxM1vQnWMxNr74i+eQiTWpm6oQbtLQPMbqZ9XIwAQhxA6TqOWQwstaTDQHw0GQT3dSgRQA1NAMQBmHKHjIGgRCk/mcoo4NcA9tRmLF3lqSeHgNZ0JdWrxN2Yq1IwEqEcAidegRXiBJQsH+GPh4DeoroFR5MNxG8Y5AM8FQJKv0KIZfTCXV2na7XVKw8GbGFdL4eC1wBtuHQLOlpKwhoB6BJB4DVqEF1iycIA/Fo7ZG+8OiWKzT94/EooBMOMIHQdBi1B4Mj/h4BeqSmo2Fq82X2ncss6nBlAXf31qw52ZAPUIIPEatAgvsGThAH8sHLwFGG8pAibvDgnFAJhxhI6DoEUoPJmfcFQ+SyC3HXy8QNspHLxnARCSK+9WDGMIqEMAidOhRFiBHQsGeGPBaHz2AbYc7RzBA0F22fMQiKQqVIj7T9JymDn1QngH8HHmBK3cbFw0jsEgLt68v7DZQEAdAkh8Bi1CCixZLMAfiwU9pPALJxBCGoqVFOMAPA8ASa5Ci2bzwVyOOqcBdk3NxuTvXtc08pq8i6rDrTP5owcXBD8B4hFCx2vUcnihJQ0H+qPhmPcs/CpJFOPvfHdoNhAw4wgdB0GLUHgyP+FYPPQuKRz8MYSRmo3JH0TAQdvkTyI0aDYSoB4BJF6DFuEFliwc4I+Fg1+ewvtp8kffFzTPCJhxhI6DoEUoPJnLYem80pFGonNQ94Rx5CPTS0+RJODyG+pYQ0A9Aki8Bi3CCyxZOMAfC8ekMSPeUgTw/iAIs8ueiUAkWaFC0/mgLSer0/gQ7wE+W/2czYuh4PerceA2+Q1FfOpNgPoDkLgMWoRTGLJIgDcWiT7yIy0B3dUcvQCYbYSOf6BFGDx5n2BUfnt6p2Cc+Y8cjbKqPS2LrkId48BmAwH1CCDxGrQIL7Bk4QB/LBznC1HQsE4+z/eG5hkBM47QcRC0CIUnczmn/ZpvudXgs3yv9MA2+csM+MA2+NsMG/ryBIhDCInToEVogSWLRrhjwSjlSg9sk2cOa4pyAJ4JgCRboUXzmXnLUe7UEeUHtnHe+U9txuDX/jGM43y5Ae7KBGgwADpOo5ZDCy1pMNAfjcbgU4ABIZm6SmiaEfBEACTJciWazQdvOeqdZ+5SozHOqcDpmW3wfH6BOI7J7zPAXZkAdQggcRq0CC2wZMEAfywYvE4xoE0dvLiBz2wImHGEjoOgRSg8mZ9wDD5OKzUbo9/z8cw2eE6kw70z+NMQF3TmCVCPABKvQYvwAksWDvDHwsGrXHtgFK/qeiTOAXguADoOghah8GQuR8XX/paGooPXBUd6ZBs8KYLDtsGriw368gSoQwCJ06BFaIEli0a4Y8HgNVS8nQbv8lwToxyAZwIgyVZo0Xxm3nKW/BiPB7bBK8o7zfMQVFIYB69LYyxAVncCEY9BhXACMxYJcMZCUc93h6MUL9Bf2GYAYKYROt6FEvH+SfpEgrdu9/Ss1nlGpKQ2o/PBxThe67yHAR/WEiAOIXScRi2HFlqyYIA/Fgw+yPjCFlQ+oxfBCNliAcgJBaiQWDxpyyn0vG6RJnk6T4fkp7W+r/PuWcRiU5844H5MgMYCIIkFaJFYgCWNBfqjsej8ffA2MIT1cj0S5AA8EQBJskKLpvPBXM6qp4HhlZ7WOr8Ue6UWo/MBKzhi6zyVv+EuSYB6BJB4DVqEF1iycIA/Fg5+gwVH7X3xQgA0zAiYcYSOg6BFKDyZy6n2fAxxGnd1ng5pqc3oPCGCkey8767AbZkA9Qgg8Rq0CC+wZOEAfywcfHAy3k+dz+UbMKBDwIwjdBwELULhyVzOvr/ycJtPvydopkmeXs/BU6GqUreID2sJUIcAEqdDibACOxYM8MaCwWdijYoxLBc+q4HseQhEUhUqNJkP0nJIPo0La+pZOx/+kJ5OOs+HdFRV6vQx+zGGgPoDkLgMWoRTGLJIgDcWidpGWo/sfJ5fx5YZAM8CQJKp0KK5fPCWA/SpFxqp0Wg3byBJ0Wg8HYJxbHwEc4MWOwHiEULHa9RyeKElCwf4Y+HgT/7hvUTATqt2CFg4EDrhAC0Sjifzc4r1vunP1Gi0RX3TTlM8bVH3VKHRaHzq2oRGIwEaDoAkHKBFwgGWNBzoj4bjnFmFA3cCti0oi2IAzDhCx0HQIhSezOUYfhoY9jTF03g+pKTHtTb529yoa/JLeHBjJkA9Aki8Bi3CCyxZOMAfC8fid5kLRpHuuZHiHIDnAiDJV2jRjD6YyyH91BOt1HI0nhHJD2yt86IE3D8EdB+3H2sIqEcAidegRXiBJQsH+GPhGDRebXiPjbFcz1EMgBlH6DgIWoTCk7kc5E/jwys9sLW6Sxq48ZHz1D3h0I2A5iP3Yw0B9Qgg8Rq0CC+wZOEAfywcjY9DhFvqbJ/A1TsEzDhCx0HQIhSezOWY/+sc0IPh4DmRliZ6Gs+KYCQJoKdl6M8ToB4BJF6DFuEFliwc4I+Fo9KgtWyMYplp9Q4BzwVAkq/Qohl9MJcPAlCHdKdntnrzubSp7ag8MYJDNwIaPrOhLP4AclxGFYcUmrFYgDMWi6vzNs0IBS/x4zMbAhYKhE4oQolE4klavhjA33ZK8zxUm68UQj7lnhclIIgENL+XTigQ0FgAJMEALRIMsKTBQH80GHXzsanQsBIwXc9RDIAZR+g4CFqEwpP5CcfkHWXpsa3yO5AjPbZVnhPBxzYCqj8EHWsIqEcAidegRXiBJQsH+GPhWHS/4WMbAcPXsCXOAXguAJJ8hRah8GQuXyCo1PimaHTqnXZqNQgaKZAEFB+7H2MIqEMAidOgRWiBJYtGuGPBGDRuxNup8go/rt0h4JkASLIVWjSfmbd8oGDkUTd/ooCgkp7ZzpsMA24eAmp6ZkuAOgSQOA1ahBZYsmCAPxaNhtPFlTdf4gMbAmYZoeNdw5ngF87y4YLtewstEDwnkp/WKn8jCtvOi/rEgS0GAuoNQOJxKBFKYMfCAN5YGPh0goaRKHd/w/CGbJYBOc6BCnH/SVq+akDDwiu1FvyKFYbhvGGFEZTXqaADT4B4g9BxGLUcRm7GogCeWBQuusPw/ql8ah+u1iHgGQBIshRaNI8PzvLNgz7TNlr+6gG/d5OmdwpPhSxoKAqfKlKgQ02AxgIgiQVokViAJQ0H+qPhKHx+Co7YC5/8iMt1CJhxhI6DoEUoPJnLFxGo88lPaoXPk8l7jwtPheBATd73hFqYAPUIIPEatAgvsGThAH8sHHxYaIcIFV7Uxyc1BMw4QsdB0CIUnszlqwk0IKzpSe18+SA/qRWeD4GKVvifC3rwBKhDAInToURYgR0LBnhjweCTZjfeXnzSLN5/IXseApFUhQpN5oO0fFah5V20P5yPI7zlesFzIThOK5WXIdAYAuoPQOIyaBFOYcgiAd5YJFrPQ/VyTkeHJhkBs43Q8Q+0CIMnb/n8Ah/3mBuNi7qjnR7RCMobiMtFfdLEexIB9Qgg8Rq0CC+wZOEAfywchcaIEyJUeEkfF+sQMOMIHQdBi1B4Mudw8IF//Up1g+dBSk/9yeaDd1DX3jcNoeE2SYBu2wVItvaClsMLLWk40B8Nx01DxHunKNLtho9oCHguAGIHUcuh8MJcvurAW2lT7Ti7R68cjifESyEVh2S/Od8YmDeMcXi7L7mEKeLZrYb73akYHxFi8+bnXPe1I4r8pv7itg73Jvwtn/3+NnVYzTvmzuZRnhyoASWA37RDoOl59tOnGLq80I/IQ15Vz9gPZDzsnONO+GSSC2TeL9zPMfBwSXAUJQhU8Q0gcQUAPQ+Ev32xdC9wk1d7+QNyWg2afvyCBnO3NpFVXgdbfJiL7u6qkim+dbQWyok25zPtGvUlb7sUan/yjD1WDIOgRjm0Ke34lg7FH3fIguwvA5S0zxZVSA18Vlzd5Ky5GbwJ+HwzwBDeFtxT/mY/3/6I/E2e4YL8iZzyZ5d4KlQJAu3c2ACJMymDg/ckfwbFg7dngm2Rv2G91kuCo+h4cM5xWEVeSg9kl5micE6JxSjwObIVPBE5RcEucTqqBIGZYyCOvGeoYATOebFgV+QUAb0E2JXPT66Z/97yynQg98z39X0+GQRG7jUSf5ETf7vEqagSAM5XBzAgW96ETlA77xdEWNdppyLyS14axuTIJcDv6Hjw5Rj8u8//5hNP0s17fv6bT+XnfFTCvrQQH5UoZ/uWIXtespyzWru4WweAZ+7lBV+H+CUJLqRK+NiXCW+FGcBlaGRzyvg1fPxzQSUOhCGHzBnT4u4+GH07QfmJMFw8qvAcnpdGJB39anIcx+IJPmmcpDI9yrxb9D/zf//tP/MnB/mzJvzWinyAkD8fU+U1U36t94z3XgC5/j2Vfv/0V//i03V8Jb1/Tb3++Vv/+fbD53/160//8t+eAtTA05P1r//qE7Ot1AufCz/zG1T6CZzJO7R+/cOnf//lH36l8T2Ftu0vf/6Vh3T7vr/8xddf8X7w1vqXP/ha6fFr3PPLH3+l+K+xBv9MT4z8nFq+/If/+vXsxf3yh/zvvK7+5e99/RUfK7cfV/7Tr4SSoSaGbur+v/zp11+R+s5K/9lXPtai1/XlT77y8+hdWmXtfEGjB1BSe5aIyL0/P1pXn62Qhf/467/89K9//ekns8u9Gk99LJ7Grft8pGv0s5nXoPeTvPu6+9miz7v4eFh0F56kIYCGPhf3q3oFc+Cu6v1ZhKsBZctrwd2Y5ee511kEJI38st9EjXIFtWPnVPv3D2xmHac6/HbGN+9H5S1Ek8/JLOPY5TfbCjL2q1bZladA2DYbbR9eZbqsptOIgcr8zU+5Qj0Wz9pD7B25zzc17lYOUXKjnjFsuHVkGi5X/kbDjCv4XE3epeMqAhArVCYgPh6Y1aoSahs3N5xATAAqZK74Ne6rKnmwOQ8XvArCgxIC73Oz35VHSJuRcy7WXfmjZRz7Urr4Qh2CAuek72N6GHS2Dd78DS4e7i6eubsWA/Xs1lv8kuL5jMbNbdwS/xa/bURarjOVNm+xcPOCmgJnZ+iJ5lSI0k43ARHYkoCLTBOTJyPvWZjF+VzRT1U/bjSPW/Pihhtq5OKPp57vs9x8/smEqxi6hlIUPlz9urzbhNBD/ftLz/czbw+r+Ah1bolXuj14mE2lb+6ozs3Rx9nYQtGepzaoTLEd56ASR6RZ8bb7nue7wKvLvU5midV5p0sC/+5X8Jv8FwLdmodH+0IaQMEPAdBof/Lz3zlhavE3glnkrdDdRXJ4zfS7+bOzKNq/ub+tnebPSldpDU27ivycW9Lv6puVzr5/Y2L0V+k/nUDeGMfPmBZnhHh9obMzY50NpotPK6DB182fFUTg0Nlnkcyv4S9OnLvQtDgQOXaIv8RHz6ihRccpYckHLuGNXeP+mpYnJxm43Pd5IxkTrMCSe3WfjxGTv5eImmARmeJC4F51Y2kTI8ECcDvH9LU035c9tKvItMS6/a6+Wens+0nwz75HeV8Kv8AJKXZIP1Z189ksPARegz+kuzDFAhxC0mLbJXNpE2NKHIAMG9TuM0ftSk6bjPk9MsfBPNEr3FXT8KSj2V2TozdubQ5oNMGDAwXeHeCNh9I+nAIP0S+n+FId2v1nNNHrkhcw1+BH7XnaIu4O9mnv9NtGPz1yDj18ZMU4JPgrTwWgd4B45vY+rSs48AJ5wZ/hwDnLXfScrZc/SuR3GkGfFwX59cm3Qc3yGT//Yx7LrotGyjoqrfuMSs+4t/ZaaQTN9zoNumkETUO4eZVhA+wxbh7i8jGnZfIQmseyzG3QUzXPtvB7EkTr1/+JLMFYWRS1q8nwvbd6rQXqz1B5VhqV/9kpNFey/kcxZq53lY9b302OSXRgNzlbKYDzlQgS5XPCPBHAGzaKfGxYRN6fUSb+Ws8Ut5U1USfhHLj1+QoAPihUld1toSkRubS6Yr87FSmbmJ3VRIO4w2pIdk6zb8D5WKxbmLxKFR6I6GT9V/Hdypo4xb4DYv0dAQ3WPMJCUyICWfvdqTTkLroT2XFOPgKy55wcJDv4Gy6yHec6Dg0+70KukC+Fj1HsCvnk89BzPgmQr4XzjJRc0eXDycPrT5cCZnTKd5qHzt5W/l7dKVBvNbquLHZ9Sr4P07XEID8XoqhfonegSKWw0jyw/my6i3543m0fgI0NJayXJ/FvmYx8ul20H3ZVNYi5XrQAb4LmAlV8X6rfQn7Yv4pDY3PbzaRketNgnjoiogtwq4xuzLRucYdXsLIJAGI9X2cOYO98K55dNa7/Hngrigi10343Xlo2VUXZH9arE+Wtcr0Ac94o17VeHYDErYHirIMoWQ/gpCFKn7yFds27WdesU0O6oRqQ2FGZi2YsgOOMlxZXkZnsDCwNuBHZVhpw432KZUIVp67H7oijP0S174D456XFe9duZN2+0a3XxgL1HOfm6lw0cwEcd7y0OJvZ6c7QjnT7xhuYt8juFLB+x/3sgtpWUTzzcuK36zWiatdo8jZNuJzaRsyqix5VByTqG5ulxEl3A4+cVW72U1ap4Y/y/AYmBDFEte6AeKdlxXPXbETdtlEdA2r7sBZYVLlopgI4rmhZcTOz0l3g6y3dq7vOnM/dUqh2A+0mqG0VxTMvJ367XqPplo0mD8CDN4lXKFPBDJl4nPBy4mBmpDv/sVLzaxD3Tr1Sv64oQoKFifWDKNYDOL5ZWfHaNRtNt200941RuQuoCtEj6oDE+8ZMJFb6xsedstlL6m1JxFD1knpbEJVoSb1tlD6+m24lGraVaOctAnD5NUGVCh7RCW54Oc1G4iRv+fQr5bPzhomUz5Y6mM7HKEBGQ1T7Doh3LXUwod2oun2jWhvW5c7TkKDORTMXwHHHS4uzmZ284GW9tREeBRujznYhZDw+gYCGqPYdEP+8tHivuo2s2zayPXUwJA5U5qIZC+A401MH82AmL/elDqbzt89w8EBACte8L2jZQVT7Doh/Xlq8d+1Gd6Ru5ryRB5eP1M2E6JFN3UyU1rw8upm++GAcJLsf3QwBKVw7dTQgqv2dOpooLd7vR1cT9o0uv48JBVZPDYCLZi6A446XFmczO3mtt2KvOq40JOb3i1NnQ2KFcIIo9gM4/kXp431oN7pq3cjeFWt259P9IbcuGtkADlkvLWSRmbzNfa80hBjlXim3o14YLhI75BZEJeuAkPXSQta1K9mwr3QJwNjcOMoM0SN74yjVympWEjN5if/R8Qw+cRSHEYM/PQw6aDwW2k1Q2yqKZ15O/Ha9RrM+uh0CsE6TWCFmqdtxUeI9sbY+GMmpDe3OGR2PbocA0DBSpwOiWh+p07Gy4vV4dDlh22j2FiIJeNuHaKYCOK5oWXEzszpE+RzhlM1VrpzNlTocEuEuNUFtqyierdTVhF6j6ZaNJh/ECwXmBTRVMEMmHie8nDiYGckJLbumQcTgD1+lbO4NGngTIGQzRLXugPimZcVr12w03bbRXKmbIRFHmCF6TBeOUKO0ZiMxk7N5Hh3NvAZSnfxBqyA7+f3ZuDVAFPsBHP+i9PHedBvZ+9HJjLtjXSYRO5kQjeydOpkoLWTvl05m8goyZnbWRzcza8WAzZq6GRCVbk3dTJQWuvXRzYR9JUwA1urJB7xHdkM0cwEcd7y0OJvZyaFc98zZbXei21NHM/mDtpDdENW+A+JfTx2N6TaybtvI8uHscHndONYM0WO7cawapTUziZkcxzZTbsdcObf8KVoI11g4nQOi2ndA/PPS4r1rN7pq3cj21NmQiGPNED2yE8eqUVrzMh95nY8OZ/IOJRxCzNVTuFbHyRwQ1b4D4p+XFu9du5Gdj05nzoY1e87U7YRo5mbqdqK0ODtfOp65y4V070e3M897PKHhhm7HBbV9Q7cT5cTv+9HtmF2juS+s05O3gYEyF81UAMcRLy1OIic5eXOXlNWz+QOzSkD8vq6NEzogivUAjndW9ngemo2o2zaq94J88nQ65NNFj+nCEaqV1VwkVnLi6mhpGLH4PT3M5+LvrkaoVp0xreOC0lRRSHo5oel6lWZYVpqrpC6HxGh/TTBDJh4nSupsHowOyfbobBafcYV96+o1fl/ytVTXH6Jad0B807LitWs2mu3R0RAQ9fjsQgBV7dHNAHBc0bLiZnvpZFa/R87mSJ3M4rdvIVQzdTIgqvWZOpkoLb6P1MmEbSPab6zHq+8NMds7RXRviPeNtfTBSXYYz5nzuebM+Vypg1lr4WQOiGrfAfFupQ4mtBtVt29UqZ3EAnPgODNEj+vAcWqU1qwkdnKcelrg+IHf90j36J0Wb0jE6RwQ1b4D4t+dFmdMt5HdaWmG319IHczipWRQ5qIZC+A4s1MH82B23oq5Ugezy3WnwcMuafGGRJzOAVHsB3D8i9LH+9CudM26kt3XhbV6X6mbCdGMXambidLi6vXoZnZJSxz8KYlHN0MAhmvX1NGAqPZr6miitHhfH11N2De6ZWHN3jybXCF2KzcQAEjsF9bcBzv5eMbA5mmfM1WQbk+dDYk4nQOi2ndA/OupywntRrcNbKCoJmLNJhFHmSGasQCOM15aXEVmh+qoedFRPiuDZGdaxtmz4XQOiNW+QYPTQVFavHftRnbUvOhIQNTsPQqOMkM0YwEcZwZ0PA9m8tGkR8ez152XHAlI4doX1BsT1LaK4tlKizWh12jOR7ez5411ek/odkzwiEK3E+U0Gy/dzt4zLzju+9HtbNw4QQJ2OiCq9Tt1Ohs3RoRmo7lnXnAkAJqlPdJt76JHdKRmQ8tqJuZzwfG+Wl5wvPn8eszmnXcLkBjaXRDbJh7P7rwPIPQqzbCsNAnAWkxijDBNMEMmHie8nDiYGel28bzgeLcrLzjeDRZwzr7wyCaIat0B8a3BAk1oNpp5/Z/3OKduhkQcYYZoxgI4ztTUzTyYHbLt0dHcfeOiI4kpXH3jdA6Iat8B8a+nBRrTbWTbo5O528K6TCJ2MiF6ZFMnE6U1Ly+dzD1GXnq856ObufNOARKxmwFRPZipm7nzboDQboTHyEuP9+hYq++RtjCFaOYCOO54aXE2szuEV81Lj/e682QaAbjNiXeCFnzsP0AyyserSoFxtlHdu+JzJxfw/oc335MoAn8ZlwS1f23dl2ulz8eP7227l65+ysrOpku+7XnHo73subrt0b8YmTxZGXQdqPVxRcEb7uYpbqhyLloGAjjB8NKSgRzuk4GtKevnjdQfAuBV6+NBAPVQ7tcRrhPsJoRF5AjoZKb9rpOZVtZF2ZnogFh/B+C8Mevq+HsCYE7Es2v6gl+NipZNzBLZujiYQLasoXXDgSoqWX/hIyHDuohA1n5X362si7LRzQGx/o4A7/hzdXVXNCeik7VfnYqUTcwS2XKNnFke26fMXtflma28xyRCrWKQ9d/Vdyvr4siZFevvCGzMLL+sBJkV0cnar05lI3fRjWTPEW+Y2fN9Vsxs5Z1DltnKTUGEWkUga7+L717WxZYyq9bfEViQ2cqH+4M5EY2s/+pUFmRWdSeyvIEXM1vnbCmzdY4dmZ1jYmZFBLL2u/puZU2cLWVWrb8jMCGz5/w4MCeik7VfncpE7qI7keVPa6bMnm8cIlne4+eZ7btjqEUEsva7+m5lTbxLzqxYf0dgYGb5ZH4wJ6KTtV+dysDMiu5Elg9gS5nlg/ZTZpt0AKK/FWweVQSy9rv6bmVNrCVnVqy/I9Axs3xUBpgT0cnar06lI3fRncjWIe8POMDzoimzpc/ILL/neod1EYGs/a6+W1kX75xZsf6OgAZT1PFsMGRWRCdrvzoV7IlUdyJ7nfY6yBZ+rRIzW+41PLMkYPOoYpD138V3L+vinTMr1oHsZX2NkL12aiJEdLL2q1FJPZHqRrLlvnbKbOETYAqS3Vf3zJJQILMqAln7XdlZWRdvHYUZ+2unzJbb+hqNXRloTkQj678aldQTqe5EdrU8giqz5REUAS0yOxs2jyoC2Zn6Gi/rYh5BqXUguzqOoEjEJkJFJ2u/GpXUE6nuRHac9hrI9rlyZvuMEVTp48ZQiwhk7Xf13cq6uHJmxTqQHdbXiDo+dg3Miehk7Vejknoi1Z3ItjuPoKgzziMoAkpktm5sHlUEsjX1NV7WxTyCUuvvCOAI6pyqBuZEdLL2q1PBnkh1J7K19pzZUkfOLN3qkdmifYlaFxHIltTXeFkXR86sWH9HYGNmqe9CcyI6WfvVqWBPpLoT2WvkEdR1jzyCuu5+e2ZJwOZRxSDrv4vvXtbEkUdQav0dARxBlWumJuKaOILyX50K9kSqG8le+7TXQJbfQsXMXnzMjGX2WgubRxWB7Ep9jZc1cbeUWbX+jsCEzF68xQnMiWhk/Vengj2R6k5kV8kjqIs3aaXM8iYuz+y8sHlUEcjO1Nd4WRNLHkGp9XcEcAR18XM5mBPRydqvTgVHUKo7kT0fykWyvZec2X76C9XfGzaPKgLZnvoaL2tiLzmzYv0dARxBXfJKoJsT0cnar04FeyLVnci2JW9gOsCbKVNm64wRFAnYPKoIZGvqa7ysi3kEpdbfEcAR1MWvAoE5EZ2s/epUcASluhPZcucR1HXdeQR1neMwjOx1Y/OoIpC9Ul/jZV3MIyi1DmTrhSMofr0ZzYnoZO1Xy0rqiVR3Inud9trJ3rccofAOQJNjIkg/CQWOFDDRycbvx/coa+Kyy4193Tmzl/U1GrsmwbLYNuunJfL6q1FJPZHqBrLnhXY5z0eBNZYe2OGAnIFwyC7qSuKADBODrP8u7LysiUe3kzXr7wFMO/3hqNuzoTkVlWz8qlSsbGKGZOeeevaEAmO7fQNKZJZfbIDMqhhk/Xfx3cuaaEeTKKDW3wGwYB51825oTkUj678alRu5q24ky1+cTZnl0wtTZvn4Qs8sH4ILoVYxyPrv4ruXNXHkzKr1dwA2ZnbUguZUNLL+q1HZmFnVjWR5aTlltvaeM8ufF/LM8stIEGoVg6z/Lr57WRV7z5lV6+8ALMxsG6mJUNHI+q9GZSF31Y1keWI3ZfZaLWeWXyfzzJ5TbMO6ikHWfxffvayKojvIqvV3ACZmtqzURKhoZP1XozIxs6obyfKGEMzsvq+aMktDsuWZ3XyOS4TaRCcbvx/fo6yIqjvIqvV3AAZmls82g8yqaGT9V6MykLvqBrKbJ3Yxs3u1kjK7lx0KxGRXxebRxCC7Ul8TZVUU3U7WrL8D0CGzJGITYaKSjV+NSofMmm4kO+eVMzvmlTPLr/J6ZsfA5tHEIDtSXxNlVZxXyqxZfwegQWZJxCbCRCPrvxoV7IlMN5Llid2U2bbvnNm2R2S2bWweTQyyLfU1UdbEO2dWrQfZflfMLG8RBHMqGln/ValY2cQMyTZpr4NsLTtntkp/IfprwebRxCBbU18TZU3cObNqPcg272skdjU1ESoaWf9VqaSeyHQj2SLtdZDVb+y8AxAjKBKKeC/WVQyy/rv47mVNzCMosx5ki/c1Rx1v5oXMqmhk/Velknoi0w1k173yCGrxJ3QwswQ0z+zaE5tHE51s/H58j7Im5hGUWX8HAEdQi/5Fcyoq2fjVqGBPZLqR7Jb2Osiuy+0bECOoNe8bMmtikPXfxXcva6Lad/Zi/R2AGzK7eL8BmFPRyPqvRgV7ItONZGfLI6g1r9war3FHa7xGGqyaGGT9d/Hdy4qouoOsWn8HAEdQa3ZsIkw0sv6rUcGeyHR/+/RXny4+iZgPFbt+8kThehc/OvfiQ8URajd/qPPze4bY03pf9p23fTMTAvx44wPwUTNEX04n12v2fc5fdCUgz/N054g6845IucSOKiWgiSdqWIFjWJ3za4KkanmwlnOYnOTmA3BzKFYbdjxPQDyBAKFYVY4W8lAIkEKh1zh1VQKyzNEGIs68J2SLHY8vf9c+5eAAGAq/BkiKlgfrRyj4uJOVQ8FfGa45FFwXu0D6VXD+KqSeTtT062OzKhGeK5DPCcxSLapylhxDTa9q7DAjF+8x0lOv5Evb8zqVgzeozy5AVQe6fYGa30qQq6j5v+8HtPW7fAKdw66KWrtQHOettW+fElROEdcx+KMSn8GOAN/QG4He5WAq+biXFXsA5yyqpZ8oE1t6HpV86drMczQV4Lvpb+UgqKrxKS8pOhH6AOCvtbQIxak0hY9uPcmYb3J6ltc1gRKwDw0A5JMKUWH5OxDvDxklrk+/wd+nzF4jMsVZN7IurPAspuouv0M1ng/20yaxm5wt4AHgQ6742/YLa0zjTwRXqFet8NcPmtUYEK3GJKicIq5DMg12rMaEM1ZhCKn2vQEpdVHAO1SFBKjtgI53oUO9f3A+cSj3tOBaIHh5rKW7iaCtH9NRVfzZaL9zQnJXADnehgLlE0Y8CuGKh6GcfRsQO/6nYHQBsAw4JDkyFZbCB2E5E2uO1DTwuVhUeTB6fDLWvPXLtKqLvyRetpsK0Z1B6DgcOpRS2PFAhDceCGpHTY8U4y/TTdALsqXAEEmRK7AMPijLsVk8BmkpDrMN/cSVx4E/MF/hTml8wP8MWyG6MwgVKWI6lFDY8TiENx4HPqhwY43gfZaqRxQjoMYDOu6FDnX/yVoO1uIdpyWFgveeltxC8OBzoS4enLZoIUJ0bxA6HocO5RR2PBThjYeCv2A5GkaQBlw33nQIWB4cOu6FDnX/yVqO31rUM+U2gh8pdm4jbt5sjbpu/lpa3IghujcIFSlypYyDHQ9FeOOhOA9XBSPIX4mrGGMALA8OSaZch2XywVoO6OL91qmh6PwoOVJD0flhE1SR3PWzjWwKRHMmQUWKqAphBFYsEOCLBaLzI/WE2HT+5AEEGGW17MhxLRSo60/Ccn4X7zjoKQot3xidJxcwep3fSC3eRoDoniBUpEhJmTYjHoHwwyPA3z9uEJTO5/wvjCwCajmg41voUN+ffE8QGk8OpQai86sPGD0+bIuMYvwI6H7nXCi6NwgVKVJSosGOhyK88VDwzNnVMHybhngDAwyAJcEhSZPrsDQ+WMuJX3wQ651CwVtb20ihmPwJEdQ1+eOrUfdCdG8QKlLEdCinsOOhCG88FPzN9IG30xjnswqhGAE1HtBxL3So+0/WciIYv0SxUij4sR9jyKeC8Qd3URc//JfbbYXo3iBUpEhNGQc7HorwxkOxeD8QRIeAYnpEMQJqPKDjXuhQ95+sTyh4AqCPFAre2Y4x5FOt+D1yuGfGOZ3Re2sQzZsEFSnS0sgR7HgowhsPBS+YbLyvNk//YluBgOXBIcmU67BMPljLWWIrHmIlFIM/ilhSWzF4iQiHZIOXkJq3FSB6KBAqUqSmsSPYsVCANxaKcU1/0pRi/MHIe2KMAbA8OCSZch2WyQdrOWmsyyH7EIrGa5AzhaLx3DDq4qXDy3trEN0bhIoUaek5HOx4KMIbDwV/egUH5OOc9ghtRQLUeEDHvdCh7j9Zy3lk5Xo8e41B0EhtxeAlYRySDX4xKe4Pl9wXQIpc39PYEYx4HMIVj0O/9DFcS/GpQvjslQA1HdDxzVWo50/CJwpjXz4k1SjwZ3Xzs9c4n9mCAA4+BzKevUB0ZxAqUqSnZIMdD0R444EYSz4LEvHj7/XcGGEALAkOSZZchyXxwVqONOO3BdPj19jDvnfsoeCvKeDj1+Dvlmzvs0F0bxAqUqSnxy+w46EIbzwUq++3C28p3tXcsbIhoMYDOu6FDnX/yVoOPKu8lQkiMa/zhTSMxOSvdWMQJ28CGt5KgGjOJKhIkZ4SDnY8Eu6MB4KPfsdbaPBe9oINMQIaiIBOIEKHBuLB+Rw2xNvJ8rPXLNQDXenZi6DhzzInEOVMvlscXPIwAFLkelOgUQgjFgVwxcIw+ewiLHXtnp67EmAZcEhyZCoshQ/CckAaH4uaHrtmo5FgfuwiaGL8Jp81GY9dILovCBUpMjHTYMXDEL54GCq/AwyRIWC8QY+Bslp25LgWCtT1J2E5OY2/jpZvCp7LyEEYbaT4Tf72Q/NeGkT3BaEiRUbKdJjxKIQvHgX+mu/AO6nTMPGGxiEBajug413oUO+fnOVcNZ4CTo9ec13nk2AYCV52xJHY5NMqrwh6iO4NQsfj0KGcwo6HIrzxUPBpSDgUn2xhdgwxAJYGhyRRd35seGF9QsGnE+VHr8kzGSM9ek2ey8CR2NzU/SzvqEF0bxA6HocO5RR2PBThjYdi0fhzFYwg3WIlxRgAy4NDkinXYZl8sJZz2Wi8d6dHr8XTGfnR63wVEG6PdVHHF09eIJozCTpfk3UVwgiseCDCFw8Ev3va8Ka6zwEXEQeQNQyOnCiEAo3Ck7Ac2saLcWluZvFHINKtsXhCAwdiq9bLh+AXih4FhE4UQoeGwc1YFMAXiwJB5e2C1pPuuPXWIQwJUNsBHe9Ch3r/5HwCUTd/0DQFolHX09IzF0HLn2GOrsbrBX4XgujeIHQ8Dh3KKex4KMIbD0XlL4J3DCB/gnhgiAGwNDgkiXIdlsgHazn6bfTHM9fiPWRXaiQI2mkctvjrM9UbCRDdG4SOx6FDOYUdD0V446Hg05gqtC2LTxTAZ64EqPGAjnuhQ91/spbj4XgPVG4kFn+wNDcSi7ohjOLiDYXeS4XkvgAiH5x2BUoojHgcwhWPw6z2dXUtxuusDQOMgNoO6DgXOtT3J+UTBz70o+Rm4nwnME3OLP5EBYZw8SaOFoEI0b1B6HgcOpRT2PFQhDceikUD0LEwgjRQvLGhQMDS4JDkyXVYGh+sTyj4PKWdJmf22TecGop99g5DQ7HP7mG/E0E0bxJUThHXIZzAjocivPFQ3LOme2jxh69wNS0BlgeHJFOuwzL5YC1nzrWZn7o2z2SM9NS1eS4Dg0hA48/WWiRC9EggVKTIlRIOdiwS4YwFgpBqaqRUodsMn7oSoLYDOt6FDvX+wVmOouPvHaanrs1zGfmpa/N0Bg7ICGjx1PX/svc2v5vs2HkYokySUXsQSdZIimRZaecL9xqYdrFIFllbA954Z3t2dlZtyF7UNWAtLPi/D8/3c/i+rdt959pJAKMX/TvPS54vVpGHLPIwKFcFkCLljxQ5ghD3QqjibqhLWr3ReStUnMm9AFgTOMTKBQ/VfTeZ/dBWzHeltZlJN2SM1EtMWssADy66eix+IOnKIFSkyoFtDVLcEaGLO6KNRrcug//GYR+R1cMAWCM4JK3kPKwRN5slh12b/llXHUF3Z9S0MjPp/gwMyCbdoNGjjwjStUGoSJUjRY4gx10R2rgr1kQpBeOTNg4WdDECKjwgVi94qPq71ZLproxt8jXpZo0jdxK03QtDsklbl04frYF0bRAqUqWk8BHkuCtCG3cFpac68WGa6zW70McIqPCAWL3goervVrMrbsqombqJm24Tz5Ov+6Br9qDH4evoY/IFpGmToCJVjIfYBHLcFaGNu4I+sGNHQUmeK3YUCFgzOCQNZSysHTebeaNtWYNNSeszNy1pnGlp4j75gtbwAx0ErT5aA+l+QKhIlYJTL5BibgBdzA0L6nQ5eFQruAQYlEotsYQIVVXp3VRJoXfm/XSURO+cn1LvcPMlHsiq0VcCH6KBdE0QKlLlTG0cYtz+0MXtp43/+N74te7OFwGVHRBrFzxU+91mdkS7723SddM6Rk/Tz5v+KPCSLODSvY8sK0jXBqEiVYyH2hRy3BWhjbuCDnyMig5cbxZOuhJgzeCQNJTzsIbcrGZXXCvYu9Ok65Z8/eiJ0WKbqmxmvUe/Y2vdI7e/RzOMy2cIfH3cf6bbw0vaGkh1VuRpuxA5hQFlErAvHZLljo6jqR/0BDPw4aQ2N63C6EMhmQcoZ9ShT5/m1aJjsDav0YwhdBS2gCw2kxTDdnBXOBL+AujSbcTaWLSBc6anAAB7UhySZ8l52LO2tYtkSbx9Ls7Xd/6AUKN72VnpgErnQ8LLZpn5r9Au7hwXkl1669xHfqeDGAXrB8AyPn8ASDR5MsSVjCldXHuhWAGIiytmZcDA9vHF3s0JfFAzO+FsQ5sXoEaNErIoqu+ojwDJEVbGbTIuAAx9thwSfZIrKl96DIxr76KNCRcgOcPKhKHKZbN8cwd9Ze/ZHce4tHEAEl4ujaZ7SSMBkjusjNtlXADQBzsg0Se5g/JpF3RHmbQaB8IFSO6wMmGoctks39xxHPkFkS3ZyRmyaRucwbu68VlVAJ3hZcwq5wKAHPdA/xzbS3Ic8sSHj/nyKGwHBpIrrAwYub03JCc74uQtONkVgw8wJFfQ6Y+Brhh8JgJcIUByhZVxy41LAPW0d8sg0efJkGQpDR9XyVMa7VA1DQy0lZYBQ4XLZvnmDjobWrI7+nVkZ3TJgBiyaJcVPqcKJGdYGbfKuARwHdkVosuTIXnanS2ddE3tIEByhZUBI/M7o5I2V9DJ0dyBnrxzLjujTuwvTt57h/oIkFxhZdwq4QHktLfKINEluYICGhxJFpDeTSKTG+T3ME/rb/ZuTqAkiFtPcZZLmwWgM3WbJ+3GxG5TgeQGK+MWGRcALqvkviljG1A5MSN2mwuoaQhTIDnDyoShymWzfHNHac0yMBt0tLZ3nEcrueM8JDdQaHRYYrrQ2sq4XcYFgLZ1nKrPk6GZBtVzTYVS16lAcoeVAUNn9o9Iyu4okuIe3VHoi2IeVMukL/TgjgVcSSMF0B1exuxyLgGwJHSH6vNkaAgfY0z70ycKFwDd4WXA0JH8o5I2d8wjd51lrLHvzs647pE6z0KZU7DzVCA5w8q4VcbFAZGUnEHaPBloqfNcwEydpwLJFVYGjGyp82Q5myOuNa8c2RV0gCN3nQtqaVAtnTfPgD4CJFdYGbfKuABwb92n6pOcQZkicVClXJGpFWoOtPT3MFHrbzZvjmidnpvkiDURy26olBkC3VApSxHqIkByg5Vxe4wLADkAV12SE+QuPGArt+GBaAGSI6xMGHltb4tI2lxBXzVz17kenb7NR+hpktDGpJUxU9epQHKGlXG7jAsAfZuPqD5Phu7UdVI66TSMKZDcYWXA0Dt1nSppc0fh47LJHQd/WkjuOPj6IpB2SLaw0OiwbGKhtZVxu4xLACwpuaPo8d0EXcLH/bzmmVdqCwaSO6wMGHqlQFQlZXccd8uvyTFb2YbVY1bsLQ5K4YLaKICu8DJmk/IIkqWgI1iTJwM9zUU4YSUOXwqgG7wMGNiTX1jO5oTBafSSG2ilo2Y30IGK5AhaLcGnVIHkCCvjVhkXAG7raw0aljIQoFFTsHXQT9hxKpCcYWXC0JHfGZW0uYNWx/KAerR7eyba3VLnuYAj6yNAcoaVcauMCwDbUyG6JFfQWW0cThfQU+epQHKFlYnWVC6b1ZsrGl/GkVxBi7l5lnpwNhh0BueDQY0ESM6wMm6XcQGgb7NU1efJ0J0CraNpzr1oCQaSO6wMGLq9NyJpc4ckEE/uoNN3eVayoCPNSg5Kco6dpwLJHVbG7TIuALRtVqL6PBkaqfM86LMHDmQKJHdYGTB0pM5TJW3uoBTjaWi96QNQT5HnTSHsDf3GTVnQO3SgBoA7oozaFVwcEEnJHaLPk6Erd6J0uX16NAVI7rAyYOiVO1GRlNxx082yacpK98vQ4Tv0Bp3PvaDjWECl1fXwhgLoDS9jxjsXB0QSeEPVeRLSlI15mW4BbdgSAoAzokyYqVyy3dkXdJ3wkSLx+6L0IWlIuSkFDSwCL7rQQYLQRwH0hZcxq4xJ0CwHXaHaoC/oG8IF78lN1yNXGM0MQF94GTfTuGx2Z2d0OdyEzqCT+zW/J5RVfUAvejf5WhgaKYDe8DJml3MJgCWhO1QfdAdlWS/wntx8BgV6UQPQHV7GDTUum+XZHVX2cKE7KKPDkSLyBR2fTnxRzjno20xopAC6w8uYXc4lgC4NFJDq8yRoKh/zM31h69gWAqA7vEwYqlw2y7M7TvlWiu4oC+r5VVkziU83viuFrpLCd0UBdIeXMbuciwMiCd2h+jwJupSP+XmNlje+LAqgO7xMGKpcNsuzO45e6FQiuGPeveT5yeRM7vCuTN7ODO+KAeCNKKNmBRcHesnTE9PmSVBTNuqMo08aicIZCqAzvEyYqVw2u5Mz5lwTzJlelUmJ3K/0qkz+QAsBx+SvsfCqGIDe8DJmvHMJYErzBKT6PAitkbDBqzIp+fsBr4oB4I4o44Yal83y7I4he7nRHZTqvaZ1v0lfwzu8KpPSqsHDqjQ6w0qYUc4igCGtA+4RZdAXkvsdfEyp4U9sBwHQFV7GjSxpQdjkZE/0yifP0BOtbuvBk+4TL7CoMds5UuRlALrCy5hRziWAbTnYtHkSNJWN8u1rqCzwlhiAvvAyYaZy2ezOzqhXpVNh6IxzQS1741xDJX4zmXQ50AnRjwHoDS9jdjkXB0QSukP1eRI0PuH390nJ5Cc2hQLoDi8ThiqXzfLsjnJbamCHKKC981tCm8AqfCyYdLYO+3QD0B1exuxyLg6IJHSH6vMkqCsfZUzp5iu+KQqgO7xMGNrTCGOSsjuOwilywB2DksddadI2+D4heFcG3ygEE3oDwB1RRu0KLgGwJHSH6oPuOM6qfMzPa6i88WVRAN3hZdxQ47JZntwxJl0vneawg07VnullGbS3qMEC4KBdOAe8LAagO7yMWe9cAmBJ4A7T50GonzoSKePZO+1HD+EKgDuijBtqXDbLszuuYclMA6JeKD8dlK7whHiDk2dOfDoUQHd4GbPLuTggktAdqs+ToFsHI2M8+VwjCBcA3eFlwlDlsllO7vhXH//FBzrof62qf/uhfEUS0MNzaEYS0Eu2RikUOQnbQYeVE1BlaQyhxtn2nEenD08op8vHqXPSGlqFMnPcVol4AGlSABJNgIfqutnzmV3ydzvhprPntLPPmpEgaxHaBVf1QtzGe8jwsdoqPtYEH+nf3/y7D/Vocgcub1SknFkGtCYXMNVTL759AaTKs/N4Pvz1P/5wsO5LwH/8UORv/e/zDx//6W8//JN/yffhrgnB6mZ/+9cfyPpzvUJc8GM9Or3dhXY5rSH4tz98+Nff/eX3dc0weh/f/f73v6FsoLXU737v+//7t//8wz/77Ycf9eC5HnHa7XdRR1q4j3bompIPFBDKn0m3ENyNj0xelAfuonsE+KZgpz8v48rBpyUMesS/vKY2P16UL45f+nKc/EXiopShnNXXy9DktiVEa1FrLV96Y5WDrqkOHj8AMji1MS0mMs2rA0TXRlsejCaFz0HNFyVMr7HRh96x4EivnFTdOdARhRNkKE01VAsvoVo6h2zHZ7KSjui11Sf83Q0pq6XQBAjRnceN7965mKRup5C+lIvJSDHoxt9Lp/VoqG8ANrNCnc5CjY/Gg26D7t1lKEkVRAf/3XT0+psdn/W5af3iJwBaWJGLkUXzlq+l7Cm0tXA5vb0mIotuR+JgNLSwIL3xc+ccmlzOEC18az5y18JLqJbOIdvBLRz9/o+28UHrfLmNFaKk3Qc1muyJXEDjtIneykKyUfz9GkrQJ9ILeRiA7awQ7TfufFuRcun8vzd0lS98oYf9boo6g80Ya2h9iXov1kG083T6MZq6Iu0utMYr4nWWk8enFTnPr/CxPL8XnT28pH+6+dDCddElFUU7sq/j0umYhxhBCTtnQA9A1+pN7yGKq/AN8EpfI7peTRpv6V37l034nYYi6t8ptcZF5/FWJ81j0cfvKXfRefc1FtFffbbv/uT71bVVuhPtu7+3/izzOOr53b/5D1Rgjnp996vvf3PSUnob3/3971fAeLc6v/v197+h5FPnaurvfsGD2Xpo+sUnq1Z8fx1LpX+7JP4BV24rvlgiic3qj7774yXnGOdRzgmK/Ip+b2sq/d0fisRRu1aqR/3ulzFkUrrTZfld5c44JWeVG+OMpEk65T2dPObPk26EqxxwOkkZOyutZ8XvvJ07ahtZ5cY4B0T2gwB9/HF2dPU1iBOSxYk69rsaInXBKk4MKsC45LY4Ja/bJCspd0gvUoObcfH3LgCmVqBEQATo3aML4N/5pupFyHXmF5+PWP8dUrsPtdxiJTr2bcquN1jMvIVzl0/FlZ46kS1XFrpfBADyZGZOWquoV695a/0EBMnO+E/xuzjrQUDbXSSskF7kS7sICe1iv6vnazTSuOxquzpKeOYHyTh7OUD5Uil1gwPrWTrUc7SvMUi9xxkAarmo3dg3zr3Jvl2T3iSddx3HjcUpowowC1KFOSDKeG1RFS2T3LSzfUrG3muYOdHYm0dc53Df2vLC30mTHwDr57VFe+duxrp8M3fOAyvQGiiwC9J8a4D63mpryyTrJANtv8DcRufTsG1bufC9WOQJ7gxS5QNA+kVt1j64q7kmXY1d5InFjzaRWZAqzAFRxmuLqmiZpJm1l8iMredIbdtoZPH6tTZwZZAmPQDWTuuK5s7ZDHXZZuoaSqL4eR7IKkgV5YCoonVFzWyVpJK98SGnRLI3PrOUwPRIrurHFdyVMNlGsmZeT/R2vmamSzYz643P8yJP8JgS5k8h1ds3PqmbRZIk9rpza14Dn1RKEDuAwzXMTczfSZMeAOumdUVr52xmumwzs19BLqIiqyDNowaov68LWiJZJSlgW8mtOduRW3M2fGkbhZXOXQmTbSRr5vVEb+drZrpkM5OuFYcKo8JDa4QKUlKU8HqiYLaIjaTZ/gQj+wqWUmv2Iw0ynRYyw4lBqnwASLuozZoHdzPV5ZupdxpmFtmxTYNUcx0Qg+80zGzWSQrXbaDpZSZzy0SXdbp2IF6PIM3cANhcry3mKm81NmSrsf0Y+DwvciCzIM23BqjvBz6zm2WSpLW33Lp1G2YWgA7rNQ0zQZoGNQ0zUVv0r9swE/LN4LPjk93PNNAAqeLONNBEbVE2WyepWM8rt24/k7m0vhJVOk1JwaFOmvwAWD+vLdorbzPWZZuxa4jA4q3cyCxIFeaAKOO1RdVsmWRcvVPb0nmAZOxIg80iGzrTSZMfAOs30pAT3M1clW7G9jTgdDqvDMyCNM/eGKtGbW2Xe2vXsQ06na5lwxBiTYyTu+hitugIgzT5AbB+Xlu0d+5m7NgGngXgk71IjDaBNN9eGK1GbW2Zl8Fn+eMAc69jG3quo6HDFhnONEJlO0maRT3WO/iaoSrXzLwrPtOLBCPvNPAYKQZ6PTEQreEcf5T6DdvzOktJ7bmA+P2iCxSDe5BmYgBspNYVE52zmhiy1cirHOGCRWB0CaSKckBU0bqiZrZKMp7OmoKINf87c0vWNOCsGe4R3JUw2UayZjUNNcHXzHTJZuaZBptFXuCxcSV/jgu8nYaZzSJJaLoNMxfl2MdRdQHgpn4VGLODNOkBsG5aV7R2zmZm24aYBcQTfHFuuWAVpIpyQFTRuqJmexleLkrBllpzpOHlGmdy1UjDS5AmfaThJWqL7iMNLyHbDKUEcVD8SsMLkCrsSsNL1BZVs2WSkvS+cqvO+8qteh/40l73gfF1kKZBAKyh1xb9nbsZ7PLN4HHjE32NiZEmkObdiZFq1Na2SdZJ4tFrpuBhHBe+qeNIQ8wiOzg0SJUPAOkXtVl7423Gumwz9k4DzEU32EHrBmm+vTBOjdraMskyyS+aBphx1jsFD4NSvYW7FonLOUGasQGwsV5bjHXuaq5JV2NHqfhsj1IxygRShTkgynhtUbVsg82o5cjt2rbBZgHorkXicBOkyW9puInaon3bBpyQb+bWA5/sReKQA6SKq2nIidqibLZO8oRO7KQGfWhJbUspXqLKIjHKDtLkB8D6eW3R3rmbuSrdjG0Dn+xBedqAWZDm24FRatTWlpm5kxpUDAOJQYlsUtsOGHrGuHBBJ0iTHgBrN2DoCc5mqMs2Uy8YegaxAFZBqigHRJULhp7NKjZ0bkPPuM+WAokFJFfdFTonJUy2kayZ1xO9na+ZObeBZ8wTn+cxC7SnESpISVHC64mC82XIGffdU2vOYxtyZjnCTbOkASdIlQ4A6WZ1WevgbGa6bDPzvqFLutNgA6R5NA02VldbIlklCTqvkVpznteVWnOeA1/aRcazYoSZaSQb6fXETOerZoZkNXMB+BQv8gCPXUfy53WAty98RjeLJPtmnSmAmK3O3JotDTKLxMWcIE1+AKxdS4NMcDdTXb6ZWtMws0iMM4FUcQ6IOjUNM5t1bHDfBpp5lQPNvdIHnEXick6QJj8A1u9KH2iMtxnbt0Fm9gOf50VirAmkCnNAlPHaomp/GWTmlT5xUCLNbZhZQHLYSMNMkKbBSMNM1Bb9xzbMhHwz+Br4ZC8SBxogzbtpoIna2jbJOkmYmT5zULrMjgPNIvEVnnfHeDtIkx8A6+e1RXvlbcbO9IGGkmM2fLYnrSgDsyBVmAOijNcWVbNlvCnzONHUu5z50+Nd0mBzl4rLOUGqfAA44U9JQ05wV3NNuhq7SHy217wBY00gVZgDosyRhp1kmSS93AYdPpeELXuf6TPOXQ9czAnS5AfA+p3pY01wN2PLNvAsAJ/su0yMNoE0306MVqO2tszL4HPXK5nbtqHnbumDziKBe0tDj5OsWUufa4KvGVqvZGa98JleZAw8TphHYeCJetoa12Zer/lz4817fdHAqwV5+/YF4e6kyQ6ANdO6orNzNhN7zZ8bFwAm0voxsApSRTkgqmhdUTNbJRunj/y58aY8Lakl846BRcZwZoTJNpI1y3sBgq+ZmfcC0DbaNNgsMjojJyw92REdUdQTBbNFbOTchpmb75ZFI2/4gLMIXNAJ0qQHwLrd8IEmOJuZcxtiVmX0ysDoEkjz6MDo1OpqS7wML5SxI39vpC2V+NgSjd4iGocYoFUFRC7ee5c3ArgENRh0UIsX0kaqcaSRBmmTeaSxBjio1tlOsf0882fIFbkfM9le06Ox0/+ZSviEqKnu9cSecdFpWKLfMaj/jDVakRrGs94i9TT/HFbjyKtUrrnT53luJc6Crw/RGNcibT51RC1xDuqN7D/xaeV9GDRbr+JRppumdw26imUaAzTOGWsbWo1mS7Vdo4REZM7B6UufJkNEhweRu2gd4dnvmqQKLbtHRS8v0VN9sBGtprysN1hN29IrWF2Ltq9yp6epgHyh0eooIRY4B6f9GTI/FEkuhIh5Tj151iRVaLTaS/RUH2xEqykFK7Z1aS21dWkltXXhdHMhv2hGutAwSogFzsHptrW16PAk5E5tffaSpAqNVnuJnuqDjWj1wZv53OrzHg3b+ryvG9t60QO9rjRYDSXYguBg9GhbW4sOT0JGautjltTWQqPVXqKn+mAjWH3y/Sxg9TxObOtz3De29aI7el1ptDpKiJXOQWmRAFarDk9CBrb1SfsxUKrQYHWU6Kk+2IhW0/082Na0/xPb+qILjMFq+qyBbS00Wh0lxALnYHQ9c1urDk9COrb1OWrqTZRGq71ET/XBRrS6685co9t1pLZuNiYq99ZTb6o0Wh0lxALnYPR1bG3ddcMrIj21db9Sb6I0Wu0leqoPNqLVdd6prSl/BLb1yeNMcD9n6k2VRqvPPFIFB6PvY2tr0QGtrj5SCc96595EaLTaS/RUH2xEq88i+b+MpjQR2NaURwLbupRTbRD5QqPVUUIscA5Oz62tRQe0+vSRSj15Xkmq0Gi1l+ipPtiIVlOMCG1dbrqxJKxedMO2XnTqTZUGq6EEWxAcnJ5bW4sOaPXhI5VYffTcmxy9b23tJXqqDzaC1WVyHx9Wj+EaKJ1is0Uf6HWl0eooIVY6B6eHRpSGiA4PIjPFZoU2L6NUocHqKNFTfbARrR5His0KXQmBbX0dZ2rrfqfeVGm0uueRKjg4vcVmqgNaTVeGDrB6lNSbKI1We4me6oONaHXnPj6sbrWntubUDmB183FI5AuNVrc8UgUHp/vW1qLDk5AUm5XeUm+iNFrtJXqqDzai1fVKsdkaTlNstugjtfXZU2+qNFp95pEqODi9xWaqw5OQmdq6jtybCI1We4me6oONaHXhPj6sPu6a2vqYKTYrx0y9qdJo9ZFHquBg9F23thYdnoSk2Gx1SLk3ERqt9hI91Qcb0Wq6cBva+pBrsJ+gS4rNjruk3lRpsBpKsAXBwehzi81UhychV2rr48y9idBotZfoqT7YCFYfk/v4sJoOlENbH3TtF7T1MVrqTZVGq0ceqYKD0b3ktlYdnoSk2GzRqTdRGqyOEj3VBxvRajoLjW0t976F1XzvG1jdR+pNlUarex6pgoPRc4vNVAe0+vKRSnheM/UmSqPVXqKn+mAjWt2PFJsd7bhTW7dD1m+MeztSb6o0Wt3ySBUcnL63thYd0OpeUmy26NSbKI1We4me6oONaHXlPj6sXkFrauuzpths0ak3VRqtPvNIFRyc3mIz1QGtrj5SCU/6H6UKjVZ7iZ7qg41odblSbHasxyG19cHjTHA/rtSbKo1WH3mkCg5Ob7GZ6oBWl5Fis0Xn3kRotNpL9FQfbAyr73t18Ue81/dcdAurF21H6pn7Tck7IMGB0WE1luCLnoKD0SwhrDYd0OrjSLHZIs1z6uvDx3xrDSvRU32wEaymjSgNrKY7WyZYPc5TbRCrR5mYWMBosBpKsE3BwehuaQLMD6LDg4gnqBBP1pTOwOiwGkr0VB9sBKvpSC22Nd3wjG3d+5HaulO+IJCvNFgNJdiC4GB039padXgQcc8xT8pZjVKVBqujRE/1wUawmharsa0r3WAKVtd5pLauaxhCrysNVkMJuYJv5ideJYDVqsODiHuOeVJyapSqNFgdJXqqDzaC1XV18djWlK8E2/o8Zmrr87iS15UGq6EEWxAclC51a2vV4UHkSm1dz9ybKA1WR4me6oONYDUtVmNb02Uq2NZHnamtj9qS15UGq6EEWxAclBYJYLXq8CBypbamW1ZQqtJgdZToqT7YGFavDrVgW885Crb1pEtVoK0X3dDrRofVWIIsAA5Kj5Lb2nR4EGnY1otOvYnRYTWU6Kk+2AhW02I1tPW86JpksPq6L2zred2pNzUarL7ySAUcjL5zW5sOYDXdkwJtPTlXNPr6uHJbQ4me6oONYPUlfbxbTdeeYFv3U5PNKPd+pt7UaLC655EKOBh9b22tOoDVV4xU4smaehOjweoo0VN9sBGspsVqbOvaR2rr2ltq69pTb2o0WF3zSAUcjB5bW6sOYHWLkYp5tiv1JkaD1VGip/pgI1hN+ZSxremoKbZ1kXHGuZeZelOjweqSRyrgYPQWm5kOYPUZIxXzpIRgKFVpsDpK9FQfbASri/TxbvVRUmw26UAxtjVdcwIJmYwGq6EEWxAcjN5iM9MBrC4xUoknz5qkKg1WR4me6oONYfWgi0KgrQdt34O2HlPGGeM+Zk29qdFhNZYgC4CD0VtsZjo8iKTYbNw99SZGh9VQoqf6YCNYPUbDtuasiAdYfY0Umw260w+8bjRYDSXYguBgdLekb4qoDg8iKTYbtBEVpSoNVkeJnuqDjWA15QTEtqaNuNjW7b5TW7c79aZGg9Utj1TAQWiVAFarDg8i7jnxZEm9idFgdZToqT7YCFY36ePd6lpramvaiINtXWMcYvkVZ1CsYc0jFXBQutatrVWHB5EUmy069SZGg9VRoqf6YCNYTXd7YFuXK8Vmo/SR2rr01JsaDVaXPFIBB6WvLTYzHR5Eemrr88q9idJgdZToqT7YCFYf0seb1StwKtjW1z1TbLbo1JsaHVZjCbIAOCh9l62tVYcHkRSbLTr3Jkek8lOro0RP9cHGsPqidMPQ1tcsKTZbdIrNFp16U6PB6plHKuBg9BabmQ4PIDFSiSfP1JsYHVZDiZ7qg42fP/z1h+NTayel1Tt+NGVtvc5TLnzxlLUB1fuQS5ETRLvb6lU46egCJqelWUCXq2UUoPxadAT7xDJrYnp05AKAXIockOrzJIj6tY/BuNHFaROEK8DCVUEvE4Yql81ySb/mhk7K25rdMa5uicYCcg81SipNEKdF3SC5SY5Tkt3sEsn/whAtjxFSNU1ZpeS3DGgas4My4TNQ1Enn+FQaQ/yBBBWqB+eVW0/DPYMLe2T5XGWLX719CEjkSG6ulJ+6pdaplDahpNZRKAHkr/+EZcSrT4YmmxlPSzvZEfFEtVPtjqdOy0BzCZet/aRR6YvcDA+uRqUTyEcLiJKq0U3Z4Oc6+aZsdjIn7gNa1jgRoVVNZFGYdCGFM5uBIkWy8c37U5S/Vtc5kR8CKhIhSSfoLETr3VhJ6XZxxnH0wE2XLp/JAzdfzBysbkq0P0EWAqoPQqxzMClMuRRxAWgiLph0c4D7ZJE80Ql+CJjbAZKWCR7adJu9kuaNbkRq6IRW+NQ/+KDRLst7BNQKbS++QlgCRKEEkdLIpTBZP4ETUJMiSd/WW9u7l+cc9gP4IaAyEWK9gIdovtsrCeAos0xJTqiU5XskL1RaQkRetMX2qCANAdUIIdYauBQmXY64AXQRN5yUhqCG2yjPTUe3AmCuB4gVAx6i+m6xpIcbnD0Z3UCnndF/D0GTssUHr0bZtwtIQ0A1Qoi1Bi6FyQZt/TnpIm6gCy5GCb9dfMED+BUA8z1A0j7BQ1tws1gSyLWWnnZKIUfBSH4nLo5HghWlDa3w/iVAFUKIlQ4mhSmXIk4ATcQJfQ2QyoAq9MSsb9J6UgeqisK7mZJTjvbx5+6AktKj0yivHAVyaPyk6xjxvUNA1UGI9QUuhckGDfw56SLWUzrsw7vJNtab1KCXTYAKRYgVAx6i+m4xu4HuHKpncgNl5KwzueFeMXXBDoFyevYG0hBQjRBirYELWQVyxA2gi7iB7j8a8erQjQUF+1kEzPcASfsED23BzWLJRdf1jgV3Qy/9skBG3dDpDA96sNPJ6xM6hASIRgkirZFLYdLlFMlNF7oUyU1Hazful37QZdPQ0SZAhSLEigEPUX23WLLUUWqz1CH0SrtuanIDHd6p8J50mtBPeAUToBohxFoDF7IK5IgbQBdxA5+scb90ygja0a8IqFCEWDHgIarvFrMbeJ9wT27glZzUN/ROl7wjL1rNqdA3JEA1Qoi1Bi5kFcgRN4Au4gbetjzCb/O2+upXAMz3AEn7BA9twc1iyWpHa3apb+iUSBr9t/Sh/M4X9DOdjnMfMCYnQDVCiLUGLmQVyBE3gC7ihk6fwuItok3r14V+BcB8D5C0T/DQFtwslox3dN1W8sKsfBsYeoFWcTHaWkCz0FeEIaAKIcRKAxcyCuSIF0IVcQLN7iK+7iS6Ys+AgMpEiPUCHqL5Zq8kwTvGNoe6jjXgnGkOdR0rBMRYi1K/f4JRAmlRBxHSGFkUIkOIeAAUERfcnJLHPEArCwd2CgioBxBiDwQLccBuLKekOujevzSHusoY2xxqzVBPm5uIB8psaRKVAPUBQuwE4EJOADnsBNSFnXBRgqtjhNfkMzB4FQBzPEDSNsFDG2+zWLLorYGl1uQGWq+qqU+4aq+fCvKifKQd+oQEqEYIsdbAhawCOeIG0EXccK6wcvj7scjT6gtDBFQoQqwY8BDVd4slz955JB/0cifnUaI9uscTGXVavoM3LwGqDkKsMnAhk0CO+MAUEQfQQcSYQS1yjXb4diGgEhFirYCH6J1sZev7vLfp00XrECP3BrQUgYHWRd/t8YkDWpUBhPUFFmQPCBHrQRFxQJ98+Z27a1a6EQPcCYC5HCBpluChDbeZKzn5rsMCTfMBrUPkudM1MVy8ptw6HKIQUHUQYpVnxIooQRwAWogDxgrruntkkfgwOaWynGZloKqou5soqfno5HbqAAZt007v/+DdOfA6LGDYZISFJUC0SRCpi1wKkS5GbAdNxHa6N+10Z/AC+YWvPwLqAYTYCcBDnLDbKyn7jmJxpTmBduj31AMMWnrAoGoBw55f8QIC6gWE2AvApTB5QPj3OenCbhiUTyveEv46Uju6FQBzPUDSPMFDVN8tZjec49hmTYOOZ5xp1rSgljy4gMmXv7k0BFQjhFhr4FKYdDniBtBF3HBewziw365OF7SDXwEw3wMk7RM8tAU3iyXJH33QSbOm0duxzZoGXTeFD0NvI02aEqAKIcRKB5PC1JHmTKiJOIEycR3eHQy6pBbnTAlQmQixXsBDNN/tlfR/dOtnWk8ZdGdvGhIWcn0qyIq253bsFxBQhRBipYFLYbJ8gkEBNREn0MeG4f3CIrtVF34IqEyEWC/gIZrv9rIT6KbDI82YBq0/HGk1ZUE9BVYLuC3KFWkIqEYIsdbApTB5Qkt/TrqIG3j7Q/QLfKVccisA5nqApHlGDvpfLJbkgf3MM6ZJyw8jdQuTFiAwrlrAbV/HWFgCRKEEkdLIpTB5QgT4GVURJ9DOl9u9MuiycxwiE6BOQIidADzECZu9klfwzCEwZRakHX3phZh0dckBHcyk++HhSUBaXQAIewBYFCbPNGNCRYqkGaQzv95T8p4nnDIlQGUixGoBD9F7N5d9cK7wbeYHod5nCq4oFyCt4cMbMukWugMG5QSoRgix1sClMHlCIPg56SJuoP1u5wi/Td76BX4FwFwPkLRO8NDm2yxmN9Duwp56hUkXoPQUM01ae0APzk5r+DAoJ0A1Qoi1Bi6FyQpt/TnpIm5o/YY3hnc74resBJjvAZL2CR7agpvFkqYwDw9zrIHmTKsokz6CTyg16Tt5wz4BAVUHIVYZuBQmG4SFn0MRcQB9YG/ukUlZJw58vxBQiQixVsBD9L72oYE3EF9pzjQpC3eeMy1oJsfNuxw4Z0JalQGE9QUWhcma5kyoiDhgHnQSyb213qOevAmAeRwg1ipYiNa7seyBew0mNfUG90GXQqYZ001XqRR4M25KxtJhKE6AKJQgUhq5FCYbtPHnpIs4gfaxj3hvKE13SV4FwBwPkLRN8NDG2yyWJIdrODnSBOo+ZQMmuoHuW8EY6z5pAR96gwSoGxBiNwCXwqTLKZLwMHQpkvCQ9qX4u3IXyqwKvWwCVChCrBjwENV3iyX1YenbFOqmlYeRplA35VlCD950F8sNg3ECVCOEWGvgUpjs0Nafky7iBvqWfbtfbso4hV+yEqBCEWLFgIeovlvMbqAUXSVNoW5af8hTqJvuaMEoawFnmkIlQDVCiLUGLmQVyBE3gC7ihrZiyngYKNsYzqASYK4HSJrHWWj7bfayEy7KuJrWUtab01OMRZkN+dRmsKK7Gg/sGBBQfRBinYMJmQRSxAWgibiA0ryd3lvelAcO3wegVSIgrBQwELV3YyW3Il0+mobHm3b7pdHxpqUInD0toNqkRIQhoPogxCoDF7IoxIgHQBPxwIooYfZ0U+rwih5FQGUixHoBD9F8t5edwOdBU5xUDtrpmebRdMutDXgMEdAwZk6AHUcFSE6gBpfCyRRv2Lf0Oekiblh++9RauI32tWJXi4C5HiBpnuChDbhZLJtW6TDwyG44eQdocsPJmenBDRtAiRjP69Zx+bRT2yffvwrOOkf/BB0HARUDis+pEm10/YiM6XQhA90eo8a7KUmf8gk8iEYoEIY60CIUIfL41FOjBeANG5A2vvOwxyO7UzcG2969KzJ6GUTfCU/ZqutQv+Q8/K1vS6drkT/qFdtGstVTp2degpaTEw8HWI5UUujy3F4A6VF9Y0xHKa4QLSRzMeWsBBipR/Oz1Zsrml7u7UCd007aB9TQDXUW1EXI5AYvYfYohyCne06hpseKAqADgOgC/koeYoVMLrASYZzySNZuDqBjrD274Ix0lQFprlCTdWpCStXm9IyVrq+XMIucRwCWGCk8Uy571R06i7yi7t017R7gfyaTI6xEGKk8Nqs3VxRO0ZBccbSeHUFXlp3oCFrBn6GNkMkRXsIsch4B9OwG0eTJkOazMLbFEl6IYCGTG6wEGKjZKbLF2Q3nPc5PV3LDSRfUZUec81J9VNoCOjyfSqIjooTaFDwcGLLtGSDR5snQEMuN8b0isGgDJdEVXgKMHMk3KmdzBc3xckd5jqN4TmCF6HLCjq7gDcmhz+XpkVxjL2E2OQ8DRE5yhWjzZKgpH/MxzYShFZhMrrASYKTw2KzeXCGZKZMr+oKu7Ip+Jkf0s8AzqmRyhJcwi5RDkNN7V3PVaTkJA6o1dZYLuMD/NY8V+muYprU3WzcH8JnY7AA6mJs7yrP2mgbNBRyhCRHJfP3V7PDaAYyti1Q9kvntKmg8n+wNoUImB1iJMO4qH19s3RxAK4G5ezzL9BS/ARUdGFRWGRO6ayWTE7yE2eM8AmheSSHR5snQrXyUMa1M1hAtZHKElQAj7zR0qJzNFaXUbdA8Dw4Kkyv4rC+6gk7dQBcpZHKFlzCbnIcDLCe5QrR5MjRSAHXSmV/oIoVMrrASYORI4YTKya4odzvXH+iKQidVchdZZh1p2FxAA32URFdECbUpeDjActAVqs2ToZ4GzgXc0EUqia7wEmBkT75ROZsr6CLV3EWW67q3gbNQXHqjKyiFTDylSiZXeAmzyXkEcG8Dp2qTXEHHfzu6YowLBiolkyusRBipPDarN1f0e26dZaFb4/MMY0E6kTJp7Y6YkonkBv3VrPHaAcxtbqF6JCdcB74Y5ZI7INz7TCYXWIlowQNfC5WxOaDReeDsADoinDvLBZ2ps1wR2YQBU8nkBC9h9jiPAPrWWao2yQ2tHmnIXED9hN6vliMvWkdLhJHKY7N6cwVdlJ07S8rjuQ2c1HopiFrAQH2ETK7wEmaT83Cgt234VG2eDM1POIAWOkQcQ5aSyRVWAoyc2TciZ3PFMXNXedx0WD854uDMM+CIg5PPuDZKoiOihFoUPBxgOckRpMuTgSt3lAefs3M3CJncYCXAwCt3lCQlO+Ggjzd5fnHMcmzd5DGPnmacC6igjZLJDV7CrHYeDrAcdINq82SopcFzAQO6SSXREV4CjGzJMypncwVtO84h1UGX+uT1h0POy4I0Ph8b+giZXOElzCbnEYAbYZBok1wxmi3oKOPROgxWSiZXWIkwUnlsVm+u6HxfU3IFXeGU5xcLSo6gj7DRXSqZHOElzCLlEOS1zS9Uk+SGLndLBds+QCwRyQXya5imtTdbNwfUu29D5kHJanIgddDXd+wmj9PeWtFFyOQCL2HWOI8A2hZIqTZPhu7UTR7tKBBIKZkcYSXAyDt1kypncwXt58jLckfhK2aSK2g/Bg6eB6WWB32ETK7wEmaT83CA5SRXiDZPhq4USB0nfWCAVmAyucJKgJFX9o3I2VxBSdxTZ3nfC2lp8Lxptw5MOm/KNl/8oTASPAElxKRgYbRISY4QXZ4M5YXaBUx8HIVMjrASYGJeqFU5yRE3nXE70lLMTfuyZuoqb9q7dcKosYBCW8nNE0qiJ6KEWh48HJiWisMg1eZBaJ7GRxjTmbvTe2kjwRVRwo00HpvV2RWDdssmT1C6m556ypuT0ENfuYCDtpWbOkqiJ6KEmhQ8HGA56AlRBh1BWxMrPBM3fR25W7SBkOgIL+EmGo9sc/YD5Xsv2RGUdP5Ik4yb8tLDHGNN3BYnH8yNRD9ECbXIWTjNUtANqsuTID6AFnwpd33zTsJI9IOXCBOVx2ZzdgSlgJ9p6LhPSkKQ/EAB6sRX4+wXJQwwdZRER0QJNSl4GHDVPNUwXZ4EDWMjfGkf8xHdk5LoCC8RJiqPzebsiHIXOl6Jjjjoqq78ahyTv8OGtGNW+iJu+iiJnogSalPwMEDkoCtUmydBF52LD8ZlzR17vBtKoiu8RBipPDarsysOyoaSXo5J6XJmGjgmpbg/YAxdwEl751QfI8EVUEJsAh4OsBx0hWqDrjjOtGS76EGHQL0RhERPeAm38UzrtiYlOWLONUls6eWYlOwl+2G0Snu3wg+jHXQuw/ygJPohSqjZwcOBbe3WdHkQou1L4IcFNFOlBgl+iBJuovHYbM6OuMZFWXbQEX0NdXfqJhZ00rahkNbptgmP+I1ET0QJtSl4ONClYQJSbZ4E3cZHGF/rras+eBuJrvASYaTy2KzOrqADyT1NNmajrHT5oaBYdeLLUfELrFLoCP9dDQoGCqgQ9IOq8iRo4mSDb7+eIVdJdIOXCAMnzjhMSvZCrbxzDr1wLqikGcc86U5KWK9cQKO9PKaOkuiHKKEWBQ8DRA46QrV5EtRtuFEH19t0qUGiJ7xEGKk8NquzK2hDxZ2WZnjXfc/vBgWqN74bB91j5r23keiKKKE2BQ8HWA66QrV5EtSMjzAutBEzWkFJdIWXCCNbGklMTnLFWEEo7WMCV4w5+QDEk6BGaZ9c2gK87+a/wQn2m5gCVR1g9uABU+JB6IaYclHd5Ncgwfwo4YbdiRIJ2fZZ+DQe2k7nbu70RgxOMgKDxaB7gy+P9I1ED0QJtSZ4OMBy0AmqDTqBNpld8EYsQNMAqudPz9DoDWMl3EjjsVmdXUH3Tvf0RgxKKVPTHFwOY8HMc9A90cXfCCPRFVFCbQoeDjRpmoBUmydBtw0ywvhas8bhb4SR6AovEUbeafgwOdkVje6GScsRoy7oSAuWg9IRnfhGVMpLGS+FkuiKKKE2BQ8DRA66QrV5EnQZH2Hc6CppH7ONRFd4iTBSeWxWZ1fQ/1d+QfhsZppyDYpQJwwZg25riqmwkeiKKKE2BQ8FVA66QrV5EsQpn8DHlglWW+HwtJreTp4r1o1UHpvV2RXl5CPy6IqDNhzmF+SgPXv4gvAVTh7TGImuiBJqU/Bw4I71HHWXaIOuKGugu/EFKfWikcZbQUh0hZdwI43HZnVyxXWveeJIL8g1ad9fekEWVGktw6Vdc719MR82ElwBJcQm4OHAFQs6Aqk2D0JXsSFHGN9rKDz8BTESXBEl3EjjsVlNrvhXH//Fh9LWaHtfH//2Q/mKFKSRvTNSkE451KcQX/p9aDpPTZPpgC74I7TifeTRK2dTDDm9apXjtCpShi6z5pM7wgNIkwKQahI8VNfNns/skr/bCcvXF+04WI24rBjSq0h78BFMHXTPFiWe10qPuf8j/fubf/eh8vrdx1LpaP/gxJfDbvmW29wrfZtp7wCp8uw8ng9//Y8/HKz3EvAflxL8t/73+YeP//S3H/7Jv1wk7Y9Y8eXH3/71B7L8XF03F/y4GFK2E76sb03Vf/vDh3/93a+/Xx4p53Gd5bu///3//dt//uGf/fbDjzut8Y1wv7noDvhL4jTKQtoDesQhx+Rb26+rcp5eKjjHXPThOca1BF1+1hKidci5y3T6sEqfEKzqD4AMueZHP/xddLOw0IXT9ypNb9Zd4XdVZSTq8CsKmO7r+ePIhWs2TZ5unJVepU22l1DdrP6m/Wcyac0BVhDytz/mbb35EL3tEG0Lb3KH34hndmnb4REWY278nRPjQX0HVAZXUYguKebZi/DoB2eLMRlKsgtYB/vddbT6ux2f8ztT6LJFcio2sCJ6S8R6yqRBy6l0QZobuKcSh6QYcg5ORzMrQgf8eQRWDk0zXXtTey5s08JLqJbGYbODmzo65h9tbNlWnxpbIdqNSYtcrBI39xqaOGDR5haS2463pUAJutzgAh4OYIMr1OlQH196qFxWf8JfU7XFq+5gcz30d1fUGOzGSIv/Tp1YoQOGy7krJli2SSf2v3AnNs5ZqROjg3dHbdS1zU90/dX93e99v/qr2q/x3e9/vwaP0Weznu9s5/ndv/kP3PXRid2Tk76sEZv21/z23y7uvww+v098KHMWMv/V95zJrtzA/Jdf25Xe9M2ejqqMth477UrPeklILZCc4DgCoPGHo2M5k1/sUMhoV0zjeTsjxdicZQiD7m7rdJxtzIJuqlTLKXxGk5Wb0rRI0S8AdIAvC6r8wRCUqbxlDpStfOmzA59jsAgLcbAYrfkFZdQHjyZJ32NoGHS24UiI1tkGC6v6AyBylNw67DXRu7AvMdoGC/9dVZmJivz0TNeqUTzXPEfqQYyOwSJKqG5Wf9P+pwwW8Dw51E/O36wd9XpQBwwWRvpgEb/rQOD1HYAWNciCDOVRKVbzwcJIHyz8d9fR6u92fGGwSA2syDh1jB7SoGcas42OwcJL6FDgHJyOZlaEtki3GCxktgYylI7BIkqolsZhs+OnDRapsRWiK01xsFhRZIHBwkgYLKKEDgTOwwFscIU4oyUMFqPq1httcdub43ro766oMdiN+fkGCzoq14+febD4TRot+j1ltPh739Mhz2N1i9/9EVT6o+D/B9/TFeGrk1/iQ5U/JPScV11Sf0Mp9M+74zASU4ubd3ouL+mtUJ2++l0OULbcE4FemvSQ80CSluu5nzPgtmv6HJBQ1tjdctmHibvtVitTSAHOZ49ApW0ezdk5abf2GaAKPQ6owsZOzdns/4a+sd400nG/RWdOT/bdJTm+DKKkv3Qq5g6o0xb0ya8DHRPpCPQiK74B3XRIgPNjGjRps/w4PzrjyWexKBOwCjfgc6hoEHtD0swYVCl1WmnB2AETTnwMUhUfhMQMZ2yGvvjHVhWWo5dLf8y9rdENBDxwnJxwfkF9SA54gx6AKIRrku7dKr6BvOK/z91BoxXbKZm4+DVovQT5GFk1KvDiL0DxChQqvwOiynhDtr34C3A1B0TkC2BV1qP8Iz6ma6srL3pTtvvJ+fPXY3W1gB6EBn9tebDiG8iekdXzSvqQt1BUpG/K/QuQKxEVXyHazc4fNEKJN5BXlLb/KSMAXS7e6K4uWtPWEeB/pl6/XLVqPF+PSp069brneu5WB01ov4uG9m11z9Apa0994vjwC/6ZcqATJ1ocKavSn0unX+4bJP2CKvV7YX+0/0wTiz/4/jck85xjSbeSMU79Mur84s3gQFEYTVwGndjhm5cCkRtxR1e6SMB8renA4uY0JajNJegxRg5BH7qsYsh1y92wxuGactObyTCa8uvlEqalcdjt+IZenuYDZfKyNl2nMz8iRBsrD3ICjcAUjHDCX75XagE9AHLDegoLQDwRqHdwCUAlkScUuugk53rwnMtFW1ZKD0kGkDNUG4NcX+PyYtPPEBuRpmsEodWwxduDI8o8PPmR49iklVkk+lnDfr2uc4VH66nkJ10e2vP26GnN/Cw6Iovmy1R6/UiD4pAHmuXw63AdR/vuT3UpsowiQlY/MOzFq0fTB/43lCv14nQuGHet94aqzN7ttRz9u38ELP/0e9ptera+3it9WTvEYlKJ4i8Mur42ED/JJ/GoBHJ3mt/zF3xHdDvdyRclLZrSkqwZz9kl+bUBK2buc3ISMYN0nkww3T5e7Q7YixM+3LTyJrNiLUGfzyYCWsVmyT6bGofcaD2bTKYq353gwIoeyh0knZmnVDwTCLttU0jKMi/1mBxyh68wGXIpoYlQ8rMrocBSmrbNNAfMSmVmpIr67F5QVZ4ADq0v7NSIzeZvmWNTsmQKnG5e6pjsr/U60WtuEHlsKTbugCptort4Y+Hq/VZ9AOYtGyoDGpJc8EGoc4a5YEyXbNaPIVvoz6CgIOSKSzLHKVJWQMcPn/IMWsQSD0VUtwcQUT94qoEvfvm2+PGk7ZV0W8xdL972vaA25KYSgx6AaKWdt9lGxTeQV9zix7PVYz0acokjSToGPyuXPjwB6EqTVchk9eKVZiVvgKhwlY2hAS9VduDOQjfSiv9o9Hi2csneYUrLRdsRz0pztDOgJ0FyghaqbYA/GyeduTv7eyiq0UJg/QJi4qHaK9R4jyGq9IpYtZ8eNK6ugcLnm9YjbGT872iIoz2Eg2IwGg7XgLiGw1/qsHJjDPgPGRzTl4Sv67v/TQayWTCw03FuDU8QNtqQV2r6PPfH31NW/npOKkAxYr8xmrQB+1oc/oLlr3nGFpjK4PvnwDT0C04wlIamf0L290nrGljfmcrgnMZmHPbNNtQyJP697yl52RqF//h7Si56rlBj/bn8PWeZoOPvseGrj+rguRRQvzEMzIlKqAc6GZZv/s3fePQvQQrF5Bp/12FK1zN84Mj/+nOGEPOet36IthCC7uroNUII2otBJ8o8hFAAQwiFcgjBl35ACLFk2R2xUmLSKfSGIYRW+UIIsYKqKfNxHd8N0BDCSI4L5phnENM+4knMUJrVE3JIPYlDDqlnUcphn/9sTD/sVmMb8wWwiECZOSmiPIQwVTyEMEWVnRmx2fxTQog5j0ua24dxgyCEMMhjgTnl0kEALr53DkMI3bSPIQTtgR0FQgjKDDYbxBAKYBChEEYRCnlIoHydjiMEiph+DyBigjM1I1988xPDiEm5G/hojscMBkEYMWkdsneMGd5BXvFdGDEpB8QFYYQBTwBVb6/XChtZvDiP+G+AqHCVjaECba/yAlyXA8cracW/OoyY8z4k/PWYwaAHocmLUQ/Ue0Xs6fCx/i0U9TRueAu5ClHxFdIDI6DDK+LVfvdQYk1BSvtvocQ3hBLrhzXR4Oy13xRLvF0IoGBi+fiYIeVXYU7Y+JfsDrqeJbmDuvdR+ypI3iy1ojP+6HvKN3iNE70dCwu/x+Bi1BcjKtnOr4o4nL88Fn01FkYcvFpZMAz5WYMOOyH7IDL5xLYGHZS5k7JiedBhAAQdBqWgY4FDU9zJ6LqAVj9BjLEA/lb47FW+tG7B937iuoUCtm6hpEQSU7bpKDG6fJNnshxnqbIbT8k1EmjQUTjTpgcdRnrQYYAHHQa4lcIsyKK5TTQKUVVi3UIVtRhGjdhs/knrFiSqlbRuoRCuWygU0QNdJ98bAPeKKXPQQUZLYjSEbjo364xpzwglAnHhBkDQYRAEHQZZAGF8gb40q5eFIaofrF2oCRHJqJEvvvmpaxeU9b1cae1CIQg66AGXXCNe8Q0UFd+uXdBleQeuXSgQaxfznjDCv5D2vNkywysQFWSp4gUAkVLlFVhNMEPoTlrxr1+7oC3QRwo6DMK1C9qXcVVcF3iD2NMRCwzvoKhnixXvIFchKr6BZksKbKRV+J3DjXLQXuLx38KNrw837k+cr/hHPlj0BmsB8GkihnsYzvVLyazvzf7SaoV9fITFjrxaYeFGjhw4cFnP43+NxQro22WA/+HDRfv/ahrzL9rAMUdAV7tv6+w4lkBAc3Q4NE7KDXRq7HBRthraQ3foPvKLkhDER0q6gfA4eU/dob3YVkVjh680zL64gGHxEcYNM8iVto87AMj3n//vGKbrQGiYLw2FYQqFHbrk5ICtSv2XN2yP9mhDqWQOP8etJ4ybJO8+54nAOS338NUSeUtCNgduDTcDaAQ4u/uivYguTkiI/ASAyE8AD/WEXZAs7nPEv6LQAwAr7OzEnM3+nxL5kSg56nPS/WEVILKeItIe0EnJLg9JecV5ORHoB0e/ANHHav744tB6rU92vDGmGG299yFcAYz8FMLITyGP9JRvRH4iOiI/0+9BRFKLQjjJRr745hsjvzIvuTx3CaBtawuifK7Sqwn0INSrxLVQ8Q1kFffI79Tk2RRSdJZ1NgAeAIqcK4oqO2BP3Xny/s2NjOJjrz/mJlIqbCRdGpzkvwBa4cdjP9oQz7caHbSdnV99yuPO11Ur9CRoyHwSK76B9BFZClW5tuot5BXXO93PL0GuRFR8hTq/wEmJN5BV/F3CwEGH2SnvIW3o/fow0GKIf8gLHbX5Jo/ZKQxcJc9ecxhIm2Uv2UElgcVPDQItwMJFFopMlnZ34Tuk3kRmrWhUZ+bEmg8EkBGebWHhRbtavhQWWklabSErRxvbmpMd/EiBFl07c41cDUI1MYry1wwzyjex6I6wc6I/IiIEmzl66+dRvvuzkB3GYTz4KzREbPtLjpMnbSj7mVeNrqE5NAORBLm+akRZtTquGgmQVo0E2laNLk6/DatGdMFPx0Wi65QXZ6vyVQESjGMiPYW0phCEtAJBBCuGIjAkz+d/9QCJklvK6KARiwIRIClg8Q4NoEgWuiQIAqTSu/bdDlDmCg+QCt/J6gGSkhEgKRABkgLWlMouSBYXAZIqFAGSKuzsxJzN/p8UIJXV8XAKUIhRBMIASSGIdJYJiZySXRSg6yzqw4AovyGGR9egnfcgWoAUHgmUwiOBIjwSvkCftjHIENHvQaRjcKQGvvjlpwZH1OISd3okpBAGR3QDRYqDXgGr9IXAiMzgXsLiIAUeBIrGKV5lB/Rpk0jmhfTiY68/5iZSK2Ry7uJeAK3wDYHR6m9vDQgtClLoyZDFJFDxBbKHIyKXd1BUtCjoPWRKQMVXiHIObnq9gbTi7x4YlcrT2/9/B0a/oeCu2xeydzthXxbByknhEi8gzZI+I6Vw5/0XNvs29VesZi+2RZ3Xml63vVf+dhV2RhzjS09/RVC/FvTzhiFF5s8PIpPvbbAwhBJPfIIdMwZgGKJQDkNKHTkMKbXlMKTUksMQrfKNYYhKxzDEFYowRKGIOtRQBC5Z7fivH4ZcU5Nf6CczBfSrnJHyqa2McgDRNOsHk6vjvOGr3LmeN/8qd/Jtn/5VTskIPRSI0EMBaz5lFmS/8aucqQKhhygakQwbsdn800KP9TLzAkJ8GFMIvsoZFEuwehkGAHSXUtpNvIw+5dskQr2x44zxeipu+CbHJAYeDGDYwYAHEMoP6FO/j3qIIXph0KH3eETYIca9+OQnfo2zm0Pga5xB+DVuDW59+xr3DrKK777G0a+HBB7y8c2AB4BLg3CtsJHNilcJol8Br3CVjaEBY6/yAtzNgOMNqcW/+mucXZADX+MMehJ0jk+4S/ctcpgu+rnsPeT19NPbe8hUgIpvoH5nDXZaq/wu8Qb1OIVzNEmw8cuY4v/SB+L0AY5GqDV4SoCxRuTxLQEGjdFTjuzYGPzH31/nUqpNDEB+LL740tIJj/U/vnTy7jRcDibkm1u7jpdPbn/z9sNgCs1AgfASbic+Pp3HXEMpRC28tbj145iwoecf4Ec4kPwr4GULLeBSsOr1MyUtz4SErFVaA1qSZ529jC2Ak5atx0VHouxh+aM3i1yyuZlDxuHnEltPDwlvPhrHeLugpOtA9Tzf6/mn/ITeVzoeqctta9ZyVd3StKLX92HnvuJEkn7eUO/kxHQY6p0H5ei2QG81bQ70FMBAT6Ec6J1HLWmXUrkpfsK47r5Givy0yrd9kDPpGOi5QhHoKRRxHZuJ5Pn/Uph3cgIHWG1SIFabFLDFo5O+JCDZ8mrT6mLyatNJ20SKrzadd8XVJiUh5BMAQj4BPMYTdk6KuAj5VKEHgIKrTWrOZv9PCvn4ykNca2IAV5oYiFnByel7EOil68dMh+421f8B8U2jwbYe3NghWAEM+BTCkE+hCPL0BtOgm1716YjoB0GfmgBxJN/7mH3yeY+yftroe8vJykG9ZUr/wWOKDF7lHr4Dg85/xsGT/14Gj5IGxDgT/hfcp60QFreg/PILWzvTtgseT6LOn7+vEyO8jheULPic+47YP4tBIk7kxmeQX4OR70b9P0vD2q4k7JL99bt9rr908Be4n9YCCRgUcDD/B+Ti9WTY5hvK1T9u+Royq42D/wMtwLQ2d0e+/6pilv3vVOtYI4WNnmTZn4GH/w9267wLrrdAdKAnmH+2Aeq6j22Aonw0sBZx0vXoaYgSIA1RAm1D1KU9r3dUckcjjEiXjkhblW9ci1DpPDOtlPByU6gWuTLWFdKJuqkTv6s6W4V9aKlVuoiz89Xyi1/vNRnoJcatSwqbxMzhK6Y0ta7R7uYut3MKfZK6JgBHQ2uh1OTRMU2p35QSXi+Txlrlut+TDjezZ+vI9unv/ZaxqNYugw8xTBausEFK0KnKiSVavRQwHvfIXrQSogXwcMClTNkis/SYW4lkCXv666bplbLJXfIG3EMS0FJarHlmX3qp65LbdiudslWkybJGOHwU2TlRafbZUqFWJn0OT5zkWiWUF6VEK2QVSMjrsnmjVsnikkptBnqe2K/dZ7c/gAui65n66xs4b20newPvPj6lN8JL2DuYq7y8gxc/kKPJx1Al+9T98bNIaPYCSIUn1/8ZkteuaOHiDqz4ZPoLyWvdhEab1ngu0G4O5Xs5+BuQApSkqSLQiz7clPIcSLoyo3CaJwXuU6wKgL8BObt7dCYPJD+HQgJQUqZ5QglvNGEX5CmfyB0QhZ4ARGFnJ+Zs9n9Tqqx561hEqyGNU2UNTj3iEFlPgfQZ0LL/4BRXFEMf4hAHhizpAnTfsjQbUD34HtlgXNcs5xPlzjLhCnwGFRXixGNFUk8rtCLzS95lZRyACic+DjVd/kKIzQjGauiLf741VdY85PvYEtD40WyUbVGvSm9y4SJAXT8xQsU3kFV8SZXVeZrFl2+SpKqzmioz5wB0kdgqbKQ+c61fOm97AbyCDhqvgIu0Ki9AH8q0vyO1+FckyjpvSiVGjjpOtvq4KDeaAg8CnC6LIa/0DtKno1ESlfkFxKtdByXueQ+ZAlbrheYraNCEF+CImOKnpcWqdDfTCmJ4Pvg2LRZlo8IvhH/gKaww4+2WFqtXOzkw85zg70qLRZJ+8X7Ninr7Pk+L5Uve5C9Rez1X75CScZl6/p30vuvcFxr/IjZBxYpYZNriOcoyBxcW/4qrXGOJ/nP5OtwnTpHkmGFfc4/4GT4e/5EcbljzRVupvWra8G/nBV7yUpa0EgkLlbZFbk14xhcSF3vd99v/47gATKdeD1HOts8eR/YcuOFPaP11hUPthEVjnYeu8OX9xDgehZ+QgAkGFQuUOq2m8XUAKVDqfOkIBEqd7jucEChFCQ2Utip7oNRHwanKmmgdyE1+tWnKqzSs/RUdW6cEYmKWTVNW20ycSD5YyGYpa7g4P93nF0p9YZbSr37LLEtnKf26Z1bfStgco9NtaCfMQtRAm6V0Sr5/pd+vPNPp42zJQVeeXziHAArOUDqlm0u/Zyu+YYbS6S4LjOkJuqZcOwF+9FI2r1giLUq32Qd426Yoq4+zmaOXGvWkcxaJ1y2JO0FilLKJBfByCCTqJGXp1Wze4qU2G795krJPiRFaM6A8X6q0BWd8XDO4RslMCbgXSd9I2SAmV5TIGeMdIDUvW6kkIGxThgjw7bBgPYXPt73/dEMir/p2nRNsL+g1+ZiA/v7sFV6mSSfdGVuPqgsVTPoKdqVU0vMNoBWeXP9nmCaduuR5c9orHtj/0j8MwcLd731thvq9d0nfKeyBhO8UAsGHCVntAkAWxP7Lf6lYTmdf0+3qkuRLgeqZLxyodAx1Pb/cUVCCs8YkdyRK0hL7hb92/vzgdY3UtMQGqPQngFFU2ElERVFKsihWxX9XU6xusowmHwatUEy8ZgDdYXWisXRTawtjy7xVHdZASTPWfxXdva6RKt8Alf4AYK48+SlHUUqGsf67mXKj7cobjS1nyy3L0z409pCsJibhqMnYoyZj/VfR3esauRmr0h8A7mjZUgu2rJJhrP9uptxoe7E79P76w4o92pr6/u3qGH7sSqelyJBOkm5w4NynAdEutNJEXYfW1JE+L9ElTNzZUjdN9KGfiZgmpRtfyhUl2qkzdmMRQJPb9gJSZZ4E3fxFz9g22gN7gmQF2NuqXJRxI4XJZrQ8IW7jwbeHoScoG9QsyRNrTKH5fAgrN81BQCEF0BdexqxyLgaoJHSG6vMk6FI+5uRy0LV30A4CoDeijBuqXDbLszsoUOYPFAHRTff3ndxxUJ8/wB3HmrmMDhopgO7wMmaXc3FAJKE7VJ8nQbTTANyxnim6Xw3aQgB0R5RxQ5XLZvlPuSoNHst4r2jD4QzopFTG/LWEvm+WhgB9qJanwKBOK3NUybhQUvZawUYF8MOul6F7OCZyMQAkOWTaGBfXd7Ppa65LOykxMy/MaVOCb2hJ7Gzymq83tcz8aG0VX65MW/GuzLKqXuhhwGFJbOshxxxeAK3y7Dx+93DqvPR8yafVa0s0BQm6Y+/RP4pPjX/67jNp2qzlgVc7ZWfgIZc//uAALX9KjnkDCo/77SyHnBDgLNmLbHJeR9NqN9ohf8LvfHND1FZSuFNxAVT+AwCPPsbuOA4UpySLOyQ7j/5u5mjtZB29d27O0LSrBuhFOGHwKQn3TALdoXiEBkqGwf676O+1lbSLd9wDQ1OmBmAOvXWPL4pTMgz2382chvYrdzSYFuBTCzdLq+hAr9jCeruFaeCXXZiG/rvo77WVbHduYZX/AHBhC9d2ojglw2D/3cy5sIWVOxqsV+qEwbS+e6LBfCtcGNwli61poGQY7L+L/l7byNOKKyDyw2C6VABamG+2AXGl5hb231VZq52s+8borJXZ9Ljw4s7XWwdUqA/iZWCA+JLiJmdvfsM3BY1r0XexAzGH3C7cKBBvPZWZdnJHmQRQJbAKSNV5EDpu5aOM6UpN4aPCFSA+qp8XcTONyWY3PyhhJh3SLMkZpywOPAm6Sa4LW5N6biDXRwF0RpRRq5xJAE0uXgH/iDpPgoryMS/TrqeBLSEAOMOLhJnKZLM7O6N2PqCEzqBPIPVOzqAdUi6p0XUiFZRRAD0RZdQk4eCUiEA3qCJPgqoyUa61HyCWKHCA/Bh2ad3N0Gx9PydFfGh9H8enmYynS0fWG+aCutxaE4oogPZHGbXFmQRw8PY3QESZJ0G8egZ8JSID2Ra1hXpWJIxUJpvVPyUwhdcxupQ1/EgSCYFauYbmRVgTgn4GYBEbaWvQiqjuQc+tcqFMJvUEEw2gvvKQq3y8zFm6VDIuDoQkg1wb4xL6bjZ9TWC6uvmT3iZrSHTNVaveUlNWeHh1fKq2aq8X+dbGp4J0NBPy6Dp4d7nH7xU4bfhJ9X+G5b3a5E7F1Y9ZQBrb5P5H2ZDY63f/E+/AO67yfuci5CuIY4y/frMRMKrgl8C/ZLScHbbXw557/NKT7quxz0fxmQxvQMNqr5+p8FPfmxwNdjzgKBd8sfrCZsGUJ8EM+OoFUdvHZ7e1BHLSsy0XcBhCV8rX6Xv9FkxLsbHXz4DPHwpNVAuU0b1+k3eYLEZ2KS6tZp8LuOy+ZCtR7U7MXGVfsT6Xm2gv8HHqrOM8efkqOFqJ89ao/EXmxuNrTgzRVXxs3lFX60ueHAojT7Q4StHyBuejXK/xwb3vu1LK6/VM1jHEpK4vrgHHVIVXnHe+BbQKAVdjN74Aw1IvW5UdOGUh8XGxL0BUWU/sK+kisx3f8OnqPFaPXm5yGx3/4V3mDh33rbcm0GV+x/Ue0opkFp9Q/gK0HCjXNETFV+ikDapikSnxBoKKR39h75Arsdv4rZ+uXh43hCiV29XT40bTDMrzQNknDgYoXf5Y7VMmj+UGfP7ApwKwjLzOZ+VvbPyxU14+Obt3dv8mYSU8wXeu8vI60wb7019Wumq+X/Du1jGDrHONLmfVdLhCdM0jK6Rmun+UnIVXqYWJ5hwXAUp8dgUgI/lEwCxUVkaqoM/uAVXkCUDUNHZqwmbvN2xqO/tR+Fq8aO06lo6jY39Tx9V5z7VBy3Y6qEZA5evuALj0oK0j9AlVrm10aJ58v3LwpQWzm9iYbAU+g4YK8SlV+nTriB9yNL4BqOzPcRBSFXwQERucrRr54ptv29BW6SrLm51Gd1fzVt5Cd5eVgB6AGu0G4F26XvEN5BX3zdOl0uMxPenzcX8K4AlgNLt6or4huxev96e3QFTg0+VvgLlX2YFmnyRF6EZ68a84L0Z3wFEXQ5uR+XbNeqz5bWsBPQitfvOSvfde8Q2kz0elK+3O+R6Jano2/C3kKkTFV2gF5Un+TnuVn761jSIrWt5efcjd/MZHCse67xKjcy8aG7aj9rSLyUJDOBzyhx7v4mlTiKsh4eqblK6/fndGNp2RhMiaN9H1kbZlaQj86/d5NfQIDSUi7fvZoLeHXl8D/ZxRLJ+FiYOuEGu/zh5eI3bYEAYb1n7v2zd3vQsdDVoR/S09nCNj8r5OH6QLXf6Jg7QBMEgblAbp1SAWPeoBe7q28oAxuQyLf7cqX3cE1IcIDRHWpHXQamXBqKGNxsvpDrWxohCOejQcAUBCljXLdsjeZ7KrzSKd1GWLs2NOCBXaoHS2/vuzV9hDD6nu84h2U1zgc4Sd+VVkVpJ///oZRNjkj0GjfN0nTKMetNxGdHqHP93vC31pAtHGuGD6IKTPFdqaR76QHqO3eeWZhAMW5WuFTPocQYRtZBSm/TRvAReHun/DlKFRrg3KjBBThoB8ftAoZwd31m8gj8PbXGN3Ds0BspgeKr5CPj8IJd5AUfGiBbf7C5Arsdv4rVOGRmlN+Niqdhnw0kYv4i+tQf7EWfcUgPRg8M4WusabL7Xhl1ZeynJfXW773N4bfUft92ev8FVd0cuLBLu84rXxXV4G+Q4uW+cIQJdCYJfXNemblaV11D1cFx0bOmGXl90I7Ju6rMSzV3k9j06XBn8c9Dqwo0664Px0YHXSdFo5gHochUm5FNXJSz+PKjCr7TtzQDdlCbtJXT+TDcnPppABdAR6IlAu3hpk7Jy0i5gVMIWeAKrWn2jwZv+3nEenlEZ0vGXwVcS8O+SmbXwlIPLeGgT5QmSFzpu+utJF3WPwuBMAPdOTd+8YNOucEswH1GRPgDOejbZaEh8VbsDnUNEg9uZBhjpULnrAgHEAKpzP+AtkKj4AqRnO2Ax98c/PdDqd72qYqz9Z85WvOZ2ebzKS0+mlXHjEIMLKt6fT3+Zr20PZLb3My4XlFPjF+fG4CEIvLKDLG4IPHi//Gzg3Uvzyhq/LFbOmhJQF/GNOlfLLd2ffXxLupQsa4ux5KPnrLaLdI/y/4wIKvxLi626g3O50Zw9CPK0HVpaJc7yc54AWRf+EaS8HVdaQYidR2us5leue8evLMZWzYT6hdC3FdjznaujAOGryN/6wpdus3l1f8e4+K/EFbWNaM/PNFX9FNq9ZS/3CLCPJthX+P8NWdsvw4JE9yV94Et9u/flZrwufdA1G5eyujkyOeewLwqSoq97xBcEA6tvW8DTOgPQLAnlt0ocp+X6gw8zRu40q/LttZk3FXw/m9/Zx3LZfaVEHcOJf5ym7eHmRhCKT7Xer/VVH8pfNdGZl3LT4xRdt09aLO9nopea5BuAhktdDVsrbUsbrdVXp5CncpHSvTT/20TdB0F9KjHtaQFBP3ogOAHngsFvW9fQ8/N74RC5WuPhuxpAhJUwL54EAyxh6c1KlgDT9nu34lgP5JyVMoYeMNjgN9jdZyFeQhie9FN3KcIsO9A33zpC1ij7AcAgES6248SwZogi95bazUqoX8gLIJK53R0/303adkQrtJn7zJwOPXlQ9XocbagS+d2v+efHjY2/e6/tgJezd26p83SrCm5fEITo7dY/0+A+6Mbt/XLQFb+fJy9F10B0bTtMHgaVvqwFZqoF5QpRdb/r8/HFcUz8/yu+UkQRIj8G3/oQmGRziFuWmAHVlsk56cebCV0CrPDuPn+Eje6PtDB/Jd8Ou//5LWAL0oeP33uQc6Hwj6XrD6yGtfh0XB/2H7TnUEvM89Q3WQ3UvJYzH15wKnLR2PekhoLspCsutfDcRvQ4nRdNPlJrnevj5wI0fZ3tTyni9HgucJ/UvXdusT32uh+2C4N9pO5iaw2m8EBAPHNZiK65o7AEvQVfwnqnKLW+Gy9ASqkXwCECllEOfxKXHXgLs+JZjgZQ2kz7lTDoBwN7utL2aDvwtP+pGvih1tFu9PekOmp4ha5NydNkJ3ynFh3SdXupesxVKFIgVry7XJIdEL6V6IS+AXGJbI0cVvar0uVFqt/FbO8pOOw/nxZ0QBVjspEJnwxwhwbVyFGNQPHyDTnEiMOmAI2fhiAeUZrxF+yV9zMa8dHPxy2ukj4iVePYqL73TzRnmZjl1926n79mXA5S54kSgk0f5kaqJnFU+VRow/JE0QPZuGDuaZhKp4pT87AopwBkvENC+2Ng5eRSrL4Aq9AQgChs7NWez/5vyh8iGOxpm6f4W9t3VZJavEO2WooXZOyB/ZiZtuVt9cAB0w3gTHxo0NM0dIIMX24Lv5BWjED01yV3oNzXHXaXVG711nJB6n3Lq1pgCoDnuAlHlHoDUgGCrJr545lszh1y8VXPJPA46+UKZLYZsoDPoAWjFJqTGAxXfQF7xJXOIRMB0Va0s8fcS5GPkodGKF98Bf94WwEPFCwBVxhuy7MVfgLrr8AJYla/IHVI4AFh+WbOxi3Z4Nc7i0QJ6ElTsQ0NUfIXsGWm0AfSaX4Ci4npwaN77HjIloOIrROflRlbiDWQVf5dsIjwnm7SMd9yYTaT1L2cTeb2S6SWbyIpTUv6Jn5BNhD9mjvMo5/yRFLVRG+b5WyLgWJdYHcyaiu7rUX8KexhjOSFM+CX8/gtci/PsupFaI93j6bXS5sa4d9VAUP0LC10bJ0nTwistlFirv7ln60c8DRehW86T34+sxJg1xuwJG3/C4snLdB8humPuSPOd2VZwSontbb4z26RTozbdURJmO4rAZGfSKewDJju84hyzm9nKYZumoPjrZGfwcN5P/eRhQL1sz9VVzhdSiz97/Z9jojMocJz1juNtv8Y13q9NEeADsLguIj33pQd6ikQQqu0DgLQhxHmz8iqgxXka6NNhjgZxHkyodMKhJZ69ylfNq1/mT/BJLCZL/knMoLggVeP5AOg2vpY+if2XT9HMn4Suy5IC1IsDTAPoEeP7FQyoF52L+HhRPSTtgJcC47SA2YGbAWU3qjyiKs5I/yRmgH8SM8C+cCk7J+00mAKm0BOAKKzszJzN/p/ySeyiVCt8sKKuPpGnygbxWsTBK64GVcqvQrOmiz7C9oIArenwZkGDRrWVUIDqpA2zznhU+Sjswg2AT2IGwScxg+LbljIGwI5lOmQqPgiJGc7YDH3xzzfe0EHLOeKmSS8ApcCWsNShB6BJk0Pe8Wv1XhGvtm8Fv+Qz8pD1KZLdKj8ytmDlwNB+16u8APbYncvs9Bw6EFXunceNekCVHZhHNab6BXwHvMqPb7unREQH+7BMSiVK0JrOURhp0IMQnSxhxOu9IP6YnJRYqdzvoahHexyv90go4NXeQCuAvzel3kBW8Xe5raPQmflBcZHFsXI72IpaPAzjD7Ivl4OVbnd31BUA4XdACMnitoS/4GGWNolut3a+fonF7YN/QmL7Ibeb2vc6+JD2Z3ZhA362+tMfu6Pjb958lIQrNiLdH+wM3L4ph6Z2M0RsmgymaOAfQlYi+1CK2xr/Tw7W7+O+LD6lLHcvEbdG2RfvNzSPsJvakKxzcTuqmQGZ/yIojbTv4M9kEViP36+N615N7Uhfd7fNpXJTCycFXNOTP4w7Mn715qOkT0D22094/+XrR+Q1VzzaLf5a7wvuCF3ja6nQLuCl+O4fNv4jMOdP330qT7fN2KflqB82wFOb3oXYqWAfa2GvQUoib5XEjjpl+gNL8rEbgW9RKT3nsDdnQ47Cn3IhSZXVyd+Mow3ZL+VfXw2Cr68L0o2EFtHQ0ejDP7det+U/SMW/7vuPxw6uynWuuc2Yuyo0C2PZpsxVL1RFfw9ltgpfpc4amtZ72lGdedBZg76rMwsfpg91ZuEvJaGQlgiFtip7uHvdt4yosnWSlOHzWAY8C6gIjNllPL34A5yTt2YDUGCcpw7ADsh6qbIbmmBCxQ3PN6EKDU9vsZ4tBK6bUxkaOyfPavUZMIWeAERhZWfmbPZ/Q7i7AuQuUdTotHC4XDeug3ZROrSMp83NZQbkbb2Gdt7BBUCloZJdaM/DeenGLYDoymT6OqiMR6W3t3904QZ8dg0NIV+sF5zGA4Ou+5ANlMYXgEv3kTlkGj4IiRXO2OzcvfNtse6gj+N06oXjuE5nYwZ95Kev0AY9AOmx0gcqvoG84hbuDslVf01LjTYoQ1cATwBFp8teZQf8sRvtKOk5NCCqtHPjYYCLtSovQNv1eAGsyo/3PnQJYW88QSiUf4GgytvmHXoQWsU5ywFUfAPZo7KmVauPf49Etdn4WsG3UKhg9V6RKdlBQf4rYrV+erBLH50H9bbXevV8+yGdEblLhyW6l11V+1JtnOZ+cy5boqqrvjnqrae1I+vx7/tSIWQ9TvsU5dK48zw0rIllyvdLnBZZnPNtyuJYIYXT63Ak5lcR2mvgQYdnXr/5T9puRB+nmy7sTVo7ag48DpSr20By8jf/HRh0KFAHP2b6AgTTfx9Q1/XJFzmvmuxcNh78kn1tGLTG46nfs9cEsPC4QWMQbyhQ6AGIkuvw/pjBE8Z3yBhDE4848zdQMP/3X5EcAqqtOfg9kpqhwavmb+S98Hp+953AlGG2r2GQVhcbvor8vH4pRwJ+X7DV+C+9OPZy/F8xqcJ30CZE5UrStk2zfEX2m9Td9YI8EVlbf1fGdR4e9vyQycfIyRsxFiExkuT0WiTHfJ7za9Da2ITfq6xAWm0lLQbbgOfvAiQKNP6DF/Vd/tCsZ66f/35AXbCLwgQBapuyGSiRZnftp9ZlvvShYoZcJcNu/1209tpKCu+wG4QZYH4Tds28LuKa5il1dfz3A+qCGWFmOw80U8nHyYZmNjnAYnKVDDP9d9Haaxt5ZDNBmALF3CTsZAOai7NDEq6O/35AXTADzLx141Mi3czbXCR874lPkZJgpv2uWt/poVbeYGYIU2COZOY0J4u4qWlkXZ0Jz6nXBTPCTM2p9kMmHycHmtmvG92rZJjpv4vWXtvI09RMQJjZu7lJ2PULzVQyzIzfD6gLZoSZJADMVPJx0lzEfK/8slzxsohe/rto7bWNbNlMEKbAaW4SdufALlDJMDN+P6AumBFm0mWVR5ip5OOkuajKEaIT3atkmOm/i9Ze28joqRF4ACjJzDt1BdftXYGaecNz6nXBDDBTtkX/kEk3cx7JzFnRvUqCmfa7am21lRxjMzOEGXDigLLsQDOVDDPj9wPqghlhJk2RYCBV0sycPQ2ks6eBdPZtIPXfRWuvrWTbBlIQZkAaN2dL46aSYWb8fkBdMEPN5KWUu9xuKAJPAGfq2G97JUSZ++xZ+/ts2oiX/F60OC/L3WX4C43AA0DVV5qEldQdKBmm0rxdTC3yu/VKaIqYO3ln4t2ndUYJIPmTtz0rsJ4VYtjVGCGKtSuTbYhuWq+p3sq3VfNLAljQAcWHnHgwZkqGKANUEa5rKiYT2Ezap3ihmRmgaQDf1eE86EzsDP5OmnwDVD+rrdobdzc2AywOizd1lTJTMoQZoMp0VDQZwsbKvfRgbAZ4NbKgsXLfvPN30uQboPpZbdXeuLuxGeAp5glNPWgzMphrZIgzQNXR2qZsMuYbU6GumcSU4wi6dvcGehCiEx3jI10FxWcU6nqLx030pV/FBVhad9oBMLDMLXubg4kDtrj4Aj0/BlXKpgOyaBJZUB8BWB9V2YqEmcpks5ufnQDX68vbPF+g5J/7pO+3IYz2bA/UR4DkHyvjVhkTB0RQ8k/IDqjT1BgY0yZDlD3l9sLQTguEQcphszB7gnJwlOwJhZ4ErVZv4Yl2cQ760EYB9ISXMZOcSQAsCD0Bsh3qdKUR8NWvBCG727vp6lkR1195bCZmV/SqO5JeoCdBXZ9SkUXZQTo2jALoCi9jNjmTAE57sjcIXdHlUiFgvAbiA9tBAfCFF3EDjMlmZHbGdchFXjvyJIR3Y7uoa72M8pSoNgqgK7yM2eRMAqifcvcRkt0RN1/IA46gw/8XOkIAdIQVcbuNSbZw88PQTV4vUPLEuGnjTHhich4/8IQAyRNWxs00JgFYmLVDT4KKPgPG+OK9xyBcAPCFFwkDSn5KXDY6Y9A3hJmcoRA6g5KBwKgy1kiXenEF0BdexowyHk6LGHQFSA6o6lNgfGkTJj6RCoArvEhYVPNz4rLRFZQfRL6E7BC6gk4AHXf4gtISYMsIjZ6wEmaSc3BApKAnQHBAnOwE+NLkEp9IBcATXiQMUiabhZsn7kO2879AyRM3X4cRwnT2Gfr4/DR0tjJulTEJ4LAne4OSMybnrALGU76QhnAB0BlWxA0wJpuR4oypeT3o0/EhztigJ0G8sSvk34M/vYeG95q1bs/7Tcmk+Z2Q668X0Ojz6wIaZ6dbAOe+4EoZehDqfHZmAYecJONQFJVhGnxBH2onv8EHJxFaAG/qfrFRJl3r/am8M5e+RLIvdojmQ81OLQs0aI9rZ7Nu3nKGQNPGAUgXhoTJuFfjFAZEkAGfP7xAPOmc/FHEa9HFxAXYBu2SA1LthEeov5koE7MVjMoxb3fFDtFsaUWoWHUMOo3fQRgAphBAung0kpkuCFyxQyz7ULusGp0RAhcD7aIDUvWUSRiwGSnOWPFoy77ICH+umpp+wTit6LkPlBWA6xOQLjAJk7BJ5KAnMsKSDzXKKtG54QZcg3bBAalyyiTUzxb+lGT0kh1npL7FvuqpKk8UmscaPzhbg2wG6mdaANkA/k6JE85ZrsPnpkbozFVJmdd6PZn1Ol+bJm8ACWq4iDDliGawUzKEGaCqNFzA2Mwgt655dF7r2YDngxwMCx5njbUeI0y6kKqb1VPNja+bmgEWhEsIk3KOgKlGhrCCqz1e29Q89/Weed7XZmoClgb1ONDUesSKgxEmXUjVzeqZ5so3TE0AmXqjoXLqwA1VMgw1QA290cxkAptZKQq7D/2QkMjHyUNsanLi+OZlyknb8qeTZKQc+YjfJV+I1TZSV/c34AHg1vodViZNnC9Umjr+e8O6DUWZmXSQp4WZSpqZU44Ku5nnJc2qZp6X6y1m+u+stddWslZTMwEPAAPN1KVlF2dLz66O/d6wbkNRZuaQQ1g/ZNLMXLEVmjkko4fJVTLMjN9Z6/+ns2tJYFSHYfs5DSEOlGPMPbj/euqPbDldvbeMSCxLhQL5ka2jeJ1IswEvAbBp0chB0mEgIdPBceG2wlSQqd9iJZlRhMzrA4tO3+Jjsswolsw6blln6yg+R5dJZACEZcawT9LhsTvTwXHhtsJUKRPDCK2YMgcs8rjea5+8o34ezyuPe9ajncPXyF+jASTzhE2LRvWS7sy/gkjnpPM02wpTQaYuhj5KZhTfLArLXDLY3iiWzDpuWWdrFJ/8x2KgZK4FmxaN0Sbdyr+CSGfReZpthakgUzDI14pvFmGRxZV+sUhdLJ5XHbesszWKd5dJZAF8DpYZA+xJ95EuM48LtxWmSpnHxTcUwSgqiiffUObz8FkUxZJZxz3ro53DgnHUAq5+Q5EDNi2aP5Eyx+w3lDwu3JZUlcw5231zznbfnLPdN2e/WOa53TfruC88nO2+Oed23yQyADfLjMkvSSfbfTOPC7cVpvpP4yI0uwzvHj+QPqGO2Z7ev8Blu0zg+Z6BeAdgyDdliCB4j6j5dvn28QPZ/Ldle2pRs+FLIRC3ykldUKQXQUrAJtJOj6GLDq9uxgZpQt8r6hCOpbvTn8xWQGZUUOxQ4UFKVRCxGRuk3PcVO9Gg2ffvY1LYLCZxIpFbRKDsu0J/jtZVbq2n4gfSR1wdgyQTv8DTXvsYQEIE+T4ZESQlgYic2CHl1r0puJXojp0UtsrJXFBk5zEo/S7R/zN0MxtrpbUv+9/YoLdBU3vxP7opnu1l9oh1DX10jYCf2g7YO8MRpzbq+D5sFKUAY7JXhQ69DC1bWUCBrcOKuKMDi9LzGpV/hNg1di8+t87ibl4E9Dbo1DUDRab7Hj1C+QTAXmQdiMooBVw4LzbobZCt86fA3m9J5OjapASjDknwKLvMzY5D/OPEP1Cz4/tSNdgO/YDKvSijANiOrJO6EKUA8Y9c/0DNDt/NiuzwPm2yA93eZEfUIQkeZZfZ7dAl2v1CcYTNuE/riiIzfJ9zMsOBZgbqQFVGScCI2IukJsQ+A0ZhfaCDqDEWQulFHZLkUTaN3YnrGv7hnx+IvbjWHadqkOkSu3FTQgGwF1kHsjJKAs7EZhQ5QUt77ymwj4AROQbJKMGoQ6o8yi6z26Ed6+dsdgTEdizrGiwy7Wx/HkooAHYj60AWgmTZediMoibIKCiuD40SN0ZPKb+oQ5o8yi5yM8MW33YzHGpmDImTFWzj0OWXlJEDzQ3USV2IUoAxNTuSvKBz6HdHKbAPmRM5RtUpwahTEiLKLrPbIXLFkwZBSwdm3gbNOFuDTb7XpQzKKAC2I+tAV0YpwJjYjsiH7ZBlASnwQm8gyFf1ByLBqFMSIsquvNuhn346ux0BvQ2KPd3BNnWiM9/kAmA7sg50ZZQCxJcv/kBvg259lKTANs+GuGMiDqXnNSh/D7Fr/D/DAZ9T5+bZdB6JTT4oFUyq+ug0LXuEjlo+HvD3zz9tPBYcDQplbmRzdHJlYW0KZW5kb2JqCjE0OSAwIG9iago8PAovTGVuZ3RoIDMyNDUzCi9UeXBlIC9YT2JqZWN0Ci9TdWJ0eXBlIC9Gb3JtCi9Gb3JtVHlwZSAxCi9QVEVYLkZpbGVOYW1lICguL2ZpZ3VyZXMvcmlnaHQtdG8tYWNjZXNzLnBkZikKL1BURVguUGFnZU51bWJlciAxCi9QVEVYLkluZm9EaWN0IDI0MCAwIFIKL0JCb3ggWzAgMCA3MTMgMzU0XQovUmVzb3VyY2VzIDw8Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQovRXh0R1N0YXRlIDw8Ci9SNyAyNDEgMCBSCj4+Ci9Gb250IDw8Ci9SOCAyNDIgMCBSCi9SMTAgMjQzIDAgUgo+Pgo+PgovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCniczL1NjyVLch2IYTebzWyCLQ4pcT42uawa4F2Ff3tsBQgDcDectxO1SoFqDG4KILWYvz9u5vZxzG81u4qkgMHDQ6WdCLNjx8IjPCJuuPs/vF+P9H7Rf/Lvx+fbv//b8f5f//vbeFyzzvf/9y29/836//95493e//b/fPuH9/S4rlYzAz9dj/uubar7uB93b+8/5d6vx7zfF3LN/KjJoadDpeXxSAyJ3yvibr97+7/f/68f5/9Xijzno+S8kp6PO921ojSFQFouV360tiBz/Abkjv/MFP71gv+PP3Lpnf77x//61tO99rzfc6/9UceiUqS0az6uQSquR7ln/QaiXs+XOM+3v/8//oDKntpj9oQyDfoxTS+RVOY+U5bMf3hL+2/55+Pz/T/8vE6w+Z7zYy4t7z//Pe29Mhytjfef6CTM89H6lde/7dGXpp8/3/7Tl//p60/tkWcZ88sffU3XY7SRv/zi60/0Z0oJwF9+/c8//83bT2m1hXT1ldx4lEZM/2WF+ePtUWv98quv65wfqdbx5U++5v5oVxtffr229y9/SpvKzPn+8nf/7SupXDv9guP+x5/f/n9xmlhLqmW3gPmYI110NBVZ6V/SbtbG65rfQNTr+RLnO1pSLX0dxIxCDfpRVS+x/nXaUimreSxVtTzq0mVtaTWCVvstzabcjdpSe9SyrvkA/vJre5Sev/zm69Ker3vF+PJn3G6uezW6v/tHclrV6k3aYl/1+fLn5EWN8s9o83Xn9uW31Ipu2u+3HDw2sj//3qZ1npWf33c5+qErqx6mz+9sotIe550e65zt6+zl65kCbaZHpyZnwMovj/dlXmTwpS3NOR7dzI+18zr5M26v4MnGjsu7VuN9qlnWBYl35TC9ZKQRk3wpCdsqEtQ3KPpYQk3CuthOFFlvOm1AZL35crzj17tJ3swupov07RU8t8FxVaTwPs3U4uxatUs8dy23qSJtq0qYqFkio8jaOSsQmQYBIDJVKRSJTIWOh4ncJoi07RU8tzGsHtV4n2ZqPXaYPgLNNlWkbVUJHTVLZBRZqIWjyFKqtiMFijfXEttR8Xa0s/PtFTy3UfVosLl5n2ZWbK5l9kCzTRVpW1VCxeYqkYPI64rNNbccm2u2xrHir1aHzVVMF+nbK3huI2NzFV4TeWVsruWq2FzFNJG6VSWEU1Qio8ic7thcV98em2vq05triu0oeTva2fn2Cp5s7LgqUnhVZM4XNte1GWnEVJG2VSTkcIpKZBSZSo/N9ZozNtdrDm+ulzUrZhfTRfr2Cp7bmNhchfdp5sTmmuqFzVVMFWlbVcLE5iqRUeTqomJzva4em+tljYNEXgWbq5gg8oLT0Dy30bG5Cu/TzI7N9WoTm6uYKtK2qoRwikpkEJnuUUJzTesuITTXBWRrrsvAdqSmiYTtFTy30aC5Ku/TzArNdZkdGoyaItK3qgQ8RTUyilxeobmmWXNorgtI1lzTtGbF7GK6SN9ewXMbGZqr8j7NzNBcl1mhuaqpIm2rSsioWSIHkdcMzTWNfoXmmoY1jouMAc1VTRfp2yt4stEvaK7KayLTBc11mRmaq5omUreKhHQFzdc8m+vIIzbXPuSZ1IHuzbWPhs1VTBfp2yt4bsPvAKvxPs2c2FyH3eXtWpYLm+sI93HuGxShyF5rbK7t7rG5Nr1To/jNmhWzi+kifXsFz210bK7C+zSzY3PtFW+R1VSRPdzHuW9QhCJbz7G5tlRjc23WOEhkSthcxQSRCU5D89xGxeYqvE8zKzbXZnd5m6Z3bK4t3Me5b1CEIuvkBu0i674xewJweXOt+cbmKqaL9O0VPLeRsbkK79PMjM21zhJoZoGbAd+qEsIpKpFR5Hrkjc21tCs211L9UWsZ4dpeao/N1bdX8GTDnyTYvPFRa3Xv+Ki1TLxFVtNEhvs49w2KPt7Wg/yj1kxvX6/3v/kDT66Lit9BrT5gvptJJ9yoO8ttl0cpi2o9RAqQH4mudmOs534HKNV1ebpq2Kc8Zg1RDGAadhJoJ/IMyCpNeve4/LYOuQXgMJKf7SOWhACtuzFsMZ3efoF6OhNvUE9X+InqL+lLTf1lva2pt31UrEUxgGlQvWTyDFB63B3k0wlcAvkGUL7tI5aEQLWgv65uYyTXTydpba5/taXHhUe/ZnrfBCkIgPp9HxHiURTYNKhfMnkG6H7cePjrTLHpCYD6bR/RJyFQLegvqxnW7vpLlVc/ZtPrJ9BfVs8wJqQgAOr3fUSIRzGAaVC/ZPIM0JB2pIHvW9qRkm8A9ds+YkkIVIv6U6E3VaY/r0f9BMc/rz5iVNCfV4NqePwFQP2+jwjxKAYwTdC/Mwn6V0/YM+pPQ9qR6t9A0K/7iCUhUC3oXxCdLaZ/3Ss/UnL9657u0fH4p/VHxUMgAOr3fUSIRzGAaVC/ZPIMUH40PP6ZXssiuQCo3/YRS0KgWtC/+kc6W0z/tVrPhON/rZ6lN9B/rVuwjIdAANTv+4gQj2IA06B+yQT1p9V/7nakhW1J2pEWfwOo3/YRS0KgWtB/9a43PNterWfC8b/SOmNQ/mpP6Ub5GwjybR9Vq0HMZhJUL3k8A7RutCeov/otrUi5N4DqbR+xJARqdfXpnpXOlU+zy+qUh6lf9uq14egvYPXrcAAUAPmwzxYCUQxgGtCvmTwD1KQVaWC6MwrkGwD9vo9YEgLVov51GzX86KfZ6Mcv1z9XWyoJ9M/VgCYcAgVQv+8jQjyKAUwT9O9Mgv6rSDNS/fQOBuWzHdTLHmKIP0oF8TOtzhAO/hj+8M92X512B/FjtZ/ZIAEBULzvIyo8igLDboqtHjuTZ4BWv11B/MxZGpFWfgMo3/YRfRIC1YL+UTqdKqa/03u87Po7vS7Gg9/prR9ksG1Ub3uICg9hAHOgeEnjGaAhLUirWq9HwcKzjdJ1D1Em/qgTlPdWKI4rv1ZvDEe+r5ZzD1R+JfrNCqRvIGi3fVSrRTGAaVC8ZPIMUJMWpIHbkBak5BtA+baPWBIC1YL+NtYJCUe+5XWmFNffMv3SCPrbakotQQoCoH7fR4R4FAOYBvVLJs8A5Qfc8y+7SRtS7g2gfNtHrB0BtYL6Oiddn009/YA9p6uvZe7naY1eV3OqeAAEQPW+j8jwKAYwDaqXTFB9vS9pRRp4PeGOQL4BlG/7iCUhUC3qv9ZJCUe/rLYz4eiXts4XeORZQJWnUElBANTv+4gQj2LAsOckFbszCfrXo2NLqP+6pRWp/g0E/bqPWBIC1X7Iz80rqfVsvL/N+kNvB/wZ214QdDqjFUlzPU4U3mP1cLkisL9r4bcXCq2GOPiwaJD1MHbj7YwA5LTuW1ZbgX3aOrkyRjHAmQzSbCyKpBsFfXzHj/sraHm0Tocv29tqPRJ5PWlO7jDude0rvtPz1e/l85PVTOXXZv4B4tOAcssbN/op78WU3Z+nP3918gc/+Uj0OmsVabWMn//+jYSvJ/G94zvdKWf63XjV5tKPh/7o67WaYU0Xfz5En5j0a375xdd1AzvWRefLL+kDoNLuuv5aWJ2j0qdC6/5u/Xl/+dXX9Ve7cgGXP6FPQq57dci90GdDK2gva99f8LdE9z1WKAqw/mxf/tQ/8LDKtUI/Mb4PfuFN17Ge6W2CAc8FdAR6nnRbNPkVmpv8OpJOJAH4VOFDZUBhQMKlun9HEDo1PzQhBZ4LoB9cDGj02NktnJn6K5oAmtDTAElYwqmcQ/8HHfm8Lj51ndb/dGvmQKux/DTmulHiPqCn9axGFwqFSP06EPQdjEKdfqumM2uujGttAKzjVPiUNSjRJwptxzGI3oe8W9xVl0mXQuNW4MMzVIiLsdpLdqjR0bm7xQV7U68wCmmCT4BEhMVVmS/V0Wvmv+i0WseCipAy7SCn1d/9NzoH6IeVkr785iuxXqV++bP118wtjS9/9uuv6xFhnQuTP5WiUyTd9LnTT1RC+vLuj742uplIX377lT6wmrOMdbLQ5nqVJqfbHHmdjXQG0XuPa1CN2oq1VPNHff/mK/3MUVfkb0cB9I8p4Doladd7la3kkNlfWL6b76f7UdtY/Q4T2leE/zNFmTXlL38J8VYp5nWtiH/FZVk9RE77yzEpkV9GYOc/5asEvWtZdaGMa4lelB9daa4rdfm4kS8kbdALUXoVyNfzbbYs576a/OvQMgb/UlL4mWWZN//KUuQRpq1T1LdO+sHcfc3U01wAYX4C0MWfDf69S6nE/HjTVHx7d09URK1WRHT5FXmb68q9n+/ETPviJHF7yqKYecVUibpVMlZfNa9p9diauzxKGtD4ZxGpV+vCvKvZtEBabdve3RMVuUTqyS+Q2HOQ2GuQuN9/mER9HSISZatqEl8zc5QozE8AtCZklIkNRkyX6Nu7e6IikYiJfp7A08OB7g3o96oOZCGc1Hf1m38zs4C3/KIm2ctWVSa+Zl5WtxLZDbiklGS0iUdbzI+3A4BUzaF7KDy8Hz92eH9nkUcu+17LgCE3Tw5UicFlGvFkHHYysjLdKqrV18xkNS3A/gQg+3k/cgpUOdl5v1Ox7QN9ozIUy/0cip2txkYyW5NGwAyzTayfmCpWt0ru6mtmjaeHsD8BqN4m6M4G2oSYLta3D/SNyoLYOe0UYeAuxyly2xnHDHe58QQQU8XqVsldfc3s8QQQdhA7u18L5qx4LRATxNr2gb5RGYq9+x2aMb9Pxmacr3xBM14mti01Raxt3bmbr5ppxGYs7E8Apjfjuw9sxmK6WN8+0DcqA7H5ajk045yuKzTjBWhjYbHJGguLFVPFpgtPUvM18wrNWNmfACTryPJV8dKmpomF7QN9ozIUm0oNzTinmUMzXkCFZrzMBs1YTRM78SQ1XzNzaMbK/gQgWzNeBt4DqelifftA36gMxebUYjPOvYaeYAEdm3EObUtNFatbJfccunON7WKF/QlAtWa8jBKoUgnNGLYP9I3Kglj95kSBouOOHBhwNc707Qg0YzFVrG6V3NXXzB6bcdYvTxzodjVeRsVmLCaIvbGfNd+oDMUW/YpIgZpnbMbVGgszrFt3bMZiqljdKrnXcLutsV1s0W+JDNg3xlI5u2XedR09NmPfPtA3KkOxVb8LU6ClKzbjZrfWzNAS9gdqqtiWwknawo23xnaxVb8Oc+DyZlzt5nnXtd2xGfv2gb5RGYpt+qWfAXe88+QPfaAZtxtvytQ0sXc4SVu479TYLrbp934OZG/GzW6jN1W9YjP27QN9o7If/ISqjXVd4efqSq81yztCbT2f8rckCK3WtTg7PRWzPekNSKNfyUp1gLIe12Nk3GfdUN4Zgrjd9k/QDkk2zwBVehHhcem7uYLcAlAczc/3MZkS5dC9G4nJXCHvGYrRabBKDcWgMZi9QTX6uvWYHTISAKth+6gui+IAM2E5JJ9ngAb9Hgpl7jRkDQ/FBrAcvo8JlSiH8lgOeiF95ViOwZ/IhHKMQr9XQjkGfyQD5Rjy1QyUQ/cx9RrFAfk+B6CdD5aj11samQZeXUpFbraxGLaH5q8hDtlSi6jh8xV6Ymwoj0LrtM4zQONKDy7+oJ94yM6PG3LeNpZL91DZGsHKsElCsTwVg9ZtasJTqa8MbjyVBPh4e4GCJHPTimngo5l8/POaye+wVqVon2zQTPTTTKjoOt9HxZLSW1MMLkAoqu5jVdUoDjATllXyeQYoyamtgVdP3wP5BrgcmqDtY0IlyqE8lmOm/ig5lGOuCrfYwOb6Y0wox1yZZEho21gM3UNFWQgHmAZrIck8A1R207C460ZgIDPbWAnbwyRKiEPzUYjVOZYeCnGv28eeQyHudW5f2C7u/WuR5yMAlsL2UVEWxQFmCrXY+YRarB56X+O0FuuGdCC5AKEato8JlSiH8liOe93g8feQBq0H4qlP1watNnZBu1hAfmS49CgA5fB9RJdHMWAzYTkkHyzHTaN5oRr3GPQbKRyKDWA1fB/VKUEO3aEY+errfiy0jZwSZ/EMUKWT24uR1uNPg8OjABbD9lHtFsUB/gOKofk8A5TpQ2KoMr0wRHIBoBqwjwmVKIfyWI5U16kcq3HzJy6hGuuWtmDTWKWm8x2qsYFQDd3HxGsUB5gJq7HTeQak0lflEJfucQP3BrAYvo/JlChRd6xFzmN/Nw/QamM5dHALmvQpvpPl1ex6gYQEwGLYPirLojgw9vcXAO18ngHq0sQ0cG7SUJV8A1gN38eESpRDeSxHSfGaUejBqodaFH24UqpCj1d4cATAWtg+KsqiGLCZsBYlhQtGLvRBCDaLcg1po8q8ASyE76P5axTUfFRhNdKrhkLUyt8+PgNUKA2nop9xb+hVFcBC2D4qyqI4kPTpxYTvfEIt7sS/IXst5i1NVGuxgVAL28eESpRDeSwH/TqX71COluue/AGhRjd2zka/HyY8OgJgOWwf1WVRHKj7Cz2o0M7nGaAi7UvrTN+OIbkAWA7fx4RKlEN5LEdrHBLL0a/V/4dq9GvIQ4SQ0U+NGY+PAFgN20dlWRQHiAiLIdk8A9ToURaq3Kq0VD0SG8Bi+D4mU6Icun/8Cyzv0eHlQqOfzR1awCXfhdFV8kbAPqpwaF0suNlYlEYTtuA7gA1wpfbXU77PYswVoxjgTAZpNhZF8z00fc9XWG3c9IELH+lMfQPUxqdQamO/wrG9nq+OL59htUwj6d5zK/p+VoCiv9L3Et4EOiAuzzPGv/xTLPpytPFcIPQZ1f5m5H/Mtxr2pdb+MiPl+k98mSGfUnzHlxkUa+DnKr9hztTkowz5xuOX3zt9j39KtDKk+6AF0SvwMR16fi9U6e7hRohPy0a/Kr4nuh3i17mdzmwCkh532eO6awTEhdrWOvJ9ZvT7dODm3ww6PckvczUXNjsN7xTj4633FLZqEnc0k/zSpMC1m7543/xDT9mx1Vg7b2bbKnmpb8z7Bz4r64MGXaRwdBy6bzoAnYaN3/zVZKcpAzt9lX1Xs0kKDc5zpNMH1deAEA5sGvJR6FrHOfV3C3KvLnuu+xfjUYDKIKnYPpasRjkFfRyT0A36cA0PsQL7GtFH5e//8v70Rw6xfgfUe3Gzt5ndbxt+cMm89hcQ2+va7/93xEt/DFA+3SrZqGfM9uM7ZrqjGRNSjwfUoLnukFdQGsFKZySNN1sXKzigG6D815mSO+xDsyXt03gHcduPqEJX54/4PciV+JnIiQQg/ZqM7mPZapRT0ce//Ms+ev+Z5/s6m9JqUvsq/W/5K9h24xd4fwJXvF/7ZZi/d+1Xavq967jogr7AQd/1yXd76x6Ovp6Ln9H9u68/0RWWLsa/hguzX7n/HV2WS2oJr8G+2f/6xe5A6Lvcv/jGp7Z5UJf2XuiJbNDbssJfZhjwXEBBoEz6dut99UjBLNv8eBPgblk+1VVgbkDCJZphZjVdoVPzQxNS4LmAC4Hc577E7XBqCt3y34Am9DRAEpZwKufQ/x2nTuYvcVbrLJOGIdJTYeHvSR0h0YmHyBm0ZPNAoZ/qtZorF04B+peHORl000QnfC/j0Lpe1XWSWOB1IiQ645Rb7Q9PUCGqwepdpiOZXkPvC+QO64BQUyEF0gSfAIkIjasqX2pz3hL/06Ut1A/MTvHX4xjfDpdCh3069HSoJbrAkj5z/Abkjse3voU+IFgNg78b4MO4zvz1DKHA04A29FwQlxfAWlvJo8L54AC48Gf9rwDQbpcXYJ60L4C5/MFmvLStfnTdJNHEcJWf6Qv1WCk79ESIrq59F0UdXyFrKiU3fhn7TQgcaYBL+T2QJ2GOr9B9PQo/8noS34DMUeZ7/Gd0BjTt2uoL1tMPXWiwLxhDBz/0LjfsZazL8a/4+t9uukYfl+M505e/3t80pwLe8m11og/Zy/kxN9yA/zVd/vOsDcE/95v9v7TvpeGpYX98Ta9CU+ggnFyxv8ARHOG+Xzuv31qi60Z2HonyB+99tir92BgVo3uU/+Vbg0N8x39Dm+lh7JsPH/zosx6kEnj8r7vfnHN3myL2r+jJip58/re9eXUJIJtGvSyPNL85FqXSvVV970mvEpV/QTTgqcBIOjil0gfh9RXgF3k8ClaCvgAe9HcG5cL7fH6D5yWTM8oR4/n9d/yVXpG0dSXviy7nzPz0Emg49HSIvl29+QmpNh5xcdilp0cuOyUJ/A3IA3/PtKzuRqfZwAyB/htJv9KdoZ7/8nvHSlPe0kdzNFFz2deL/51bWi8TLgg8qqqlkfDK4Q3ax474HR881Ps5sK8m6RrxikDgSHRBAB968lzPDGE0Buyw71vLVeKpSH9eN3L6mWjnjdzt0Zc4lVvtAfD9oJtl8sAreq+ybw7F7DJwy4Aqu5Nv2a1ZI4tpt54KMFVbPSs40DdFEGybTiaAJrO9LdUghO5sCk3O1IPYAFAGNNMZxLhR7B2l0jxokN32tNx3ZBAbAKKa/IOfOdD7WgvGhlOxqWlsP08RJbBMnigRZUbgScDAUt00JNIZ1DR+BaruPvAwSXSXGgGmC7XhKR4x3DaBbgOWTjgmUcwW3K8gF0xipysX+NNPixBdTGcXQLPb3pY7xQapYBJVi5VpPYQS06kE0FRaPCogY8ukr/GC0AAQ/43+/Fa0lVuSEdPZBdDsbsx8RwahAWCqXSZzSDFYOslSTIa9PdVyNOJKP71XEHsATwJucFoPjB5fDGUXs8qO208y17gm9QCYKOxe4Vww06kE0EQyphgkbJk9B5E9B4n8ftD9+74+amwxnVuAxo8Z6m2Z9xxk9hxE0lt72LntImgoMZ1KAEvlgnM0yNgy79jNHADx3+DPn/17dDWNXQHN7sYjsiMXfcl6AExV4bRc5u5GLFjsZgxQqXc8JvfZzVT+8B7FRuBJAF7Slolii18SSGoBoeKnmaeCF1LeGQEiyjeclsucECzPQJSh2YqfJ3idDTf12MkcAHH3fTlLQtcnnhhqOr8Amt32tsw79rYfbwfAdLE2PeG5oCbQJTyXxNsE97OTqfm6TMxnNJ9k7k5GxOYrYwNW09gVaLo7Xj13bJeKJgm9Y2XujqHUdKECqNA7HBWUsWWWAts/T4CkFvQvAxuKmCBUABVaIHOJDEIDwFTYFy/zwlBXJLowjd29WJIoYcvsE/b4PAHi7nco1AhXODGBXwDNbntb5js6SA0A04XdawxWD7INWDIdEw1CWGy5MkpFk9YruSoWq1x4G62mcyuwr4/qrZlzbJeJJlNdeI7ySBUPpabLvLG/VG9PNB8yS4ftnydA/AX96xWi1yuyK6BCC2QukUFoOToZXiYBHbBXMdPJNmDJlHhMgpAtdlyxAUeAMhg5lGug2BGlDhQ6woVU4oLUAPCCN6GTKX1CsB4abunYW6qnp3idTZdeXYfGG4EnAR1LRZPtAIOYnoECkp94a+4S3cVGgOlCdeqFDy9mAh0+nqm3J4tituAauhk0ib2GbqZWvI1WE9grPtyot+VeQzeDJlGV0M3U0kOocnQzAlgqJXQzKGPLHEc3EwHiH+g/QjcjJrAPfLjZvnr1lMhifrwdAFMl7KTquDDUFYkuTCMejfHSzbRrxOYbAX7fFroZHk/mDGJK5734FZDsxFszbxfetX8YnUttV9i9xmD1ILtCN8O+lmgQ8oOjtOx3skbLWaX5/g2If00jDkOWffNXUsR6XR2A9e/gH5EBos8l27sFWeF3DKHZNvyMJwjzVppHCnwyf64FMRUAXoE8Nwni2UeB+5XUuuT1HAtxQJTQSEes1dR2LGVTADIadQvXpDWIqlIer0REiJgGTxTwWXflNAuaBzXAeRWy3DSIZx8V7rcbNBC8hkqcEL12oOs1xrpXO9yxhM0Az8ghydqiiCwjslIcCDMnnizJfS6aYA+DKgDEAnlyEsTTjxJ3KcoMe32+QpRQ4Sl7IRaxYOENgIwM0qw1ispSIi9FRJi508dP4NP4ox8IqoATK2TJaRBL/5C4SzGyuHkpDogSogVcOsaiZTk4Fv1+kgGAjAzSrDWKylIiL0VEmPnizynNh+77JwY1wIkV8uQkiKcfJe53KPTJ7MRSvED0cuMaIValb5BydzYHLCOAdtYeZctyIi3FiTBzfRR0KY8UQortrIJYYhLAMj/U7SrU65FiESJCmVSezB8i0YcBE6kUgGwMos/q07tHUUHC4yUIAPEWmpAPPMr+dMpDGuC0CllqGsSTD/p2FQZ/5BzKcECUz2rhMdSY/KWlkykACRmkSWsUO5LKJMDH2wvE5JnnmQS3RLOtYmAFgFwgT1CiuIQoc7+MWvc9qYRynBC9OEmXlFpi0YimgS3QgX2RotcnCmnWFkV1pXUPhkL5/WSEiHw15rsGt0bDViCwAkBukCaoUUzCIXOXY+0+WizHAVFGtfGnSTTQvue6YtUutVY2AzwjhSxrjWK6lAnKcUBMftFYP3CjVVsHBlYAyA2yBCWKleOQucuxHg72Xlvo5ytEGa123xqWY9z85aqzGeAZKWRZaxTTpUxQjgNicv4IEt140QAMLACSK2QJShSXEGXuV1/pEjcrxwnR+6hU+PtMi0VTqoRaO2AZGaRZWxTVZUxejhPit6k3Db8Dt0tu4jWu2EB9hWcFD+H5R427FpWmo4y1OCBKhz6BvTFWHRJL2QzwhBSynDWKiVImqMUBMXkJPoln6ISoAiCzQpZdCclHgbsQY4qPF+KAKBdayiUUgr5mxJ7WAU9HIbnMexQTpUxQiAMi8hHv4hfQ5OFEAysA5AZpghrFJBwy99s1mp8zh3KcEL34orVMwHUBcNOmluWybU3WnFWOEXgVTog5E62ZAG6roc+KgRUAZoMsNYnimUd1uwq0kFaNVTggyohW2AqxaHQTnosOeEYKWdYaxXQpE5TjgJg83sRXWuqnthBYACCvRW6JNUGNYhIOmbscq93WFstxQJTRau4du9WVltRa2QzwjBSyrDWK6VImKMcB8TvfOzyJLYCXG4LACgC5QZqgRnEJUeZ+hZd62OvzFaJ3azT5C/Yji0FiCZsDlpFBmrVFUV3G5OU4ISYv4WlsAZkWAsLAAiC5QpagPj2YhChTXtze8tDh5TggyqglqbXGaoUWSgA2AzwjhSxrjaK9gDEJ8PH2AvHb4/FIwWvd2WNYsYFZEU1OIlj2h8JdiZkfRyEiQqnQQjDYk9Dow1h1A/bdDWWjkCWsUUwRrShz1EG4oQzzuKWnJQnxscwB5D4eHiyKKwgif3x4aaUxmnwzT9+MzrTfF0MaT9iF1usq+umjT2LPk+690/Twe3IZA/bQo0TrXJFZ97KltN808+ONXoGU2xH62CzRfP/i77aubmpI0fn7HOGv6t8tZpEVPoW02PqfkpRul5TF3Uydw+/QyF/JjlWvOv/gZ7I8kq3w8LRFebf3AO2RSSnRKq48dqnx4lyJnkHv24FVJpoWqHaHeMrQC8Y3AbCZqFIKFfqirXKpDFpPMuvBzgOX1njRRCMXgMqlCeo+JkGiALCZPl6V00e7Lxl9InTxfC2eUb4vXknTMhIAM9J9PIEd5RsZOVOeg0qG5PTz+XqOA/LWeOEsJ99AIJd9jEuiALCZPl5lBvLJ0+ID+SJNQfkGArnsA1wc5aUUx0A3bc00/iXjGSvA8y3tbwkUSPtLg2XK2aKmroJqAI8ide8iR0ai6+LiEWC6sHuNwepBpoCeuphoEMILvtBv9iAVzedb2t8SmP/+0sBim6ncBuzczLuId5CJJlNJkUTmngzXZKppMhXQVMT7RiqQWTps/zwB4i/oz18aeHQ1TagCIrRA5hbZhAaAqWJd+EsDCCamkSkgyZR4TIKQLXZcsMfnCVAG/EWBxxgodkSpA4Wqn2SucU1qAIiIvydwh96x8ZppZApIKup9RzqXun+vB6kRoEVgZAS6xKjXwCZspmZgwM7QvIt4t3iuRoDpQoX21wYQLp10KaYTjksUswXXy3b/jCax8/cEHo6/NljmvrcwU+bxdCDL7hxsr5tc9wItYtLOASCy0oN3wVL4Vr1JMKBL/HggQMgWuleMSUPmaD8A4u87oT3HvJt7aXTbPSl/3/ntxfWWWdHYh2HoOusReAKw1wc3s4v/Pm5jnGQzJjP2gQhStlz+VCGlamsdBeDpQJG2MfaxK1K/cZnx4bXRrUKovmJWr804yBTQYu5wtQJZrUomqdjWEnyDkCB2L+/zeQIg9pKWKwyXtC3mv+wklOx0q+SuvmraORcAEHvdoSElaRtMli49ZyQV21qCbxCCYq9R9BIVgCcAcuZthmvP9L75L532XbOzrTt381XTazMOMgXkiiThhpyVTDasVJKKbS3BNwgJYnWumAMAsWVgM772ggHCr6sHWHa6VXJXXzWnHpsAgNh6YTO+agYyXU3EUrGtJfgGIUHsVWMzFgDEXlkKthmu5M1YDBCrWyV39VWzxmYMZAoMbMbXXnlGyWZsxr61BN8gBMTSD+N7SbEDMLG0XgF9vCQMtJoBfY/E/GqYWN/KubvvNiW2iUUyATJ/CaXhRgGyUYxsp+JbS/ANQlAs9Vj8Lf0BuFies7+aWJ7RPwm/GC7Wtu7czVfMLt/9HYCLLVYsDlcv5b7McLG+tQTfIATFXvpJ3AG42OvSghHDvKfzq2FifevO3XzFTN4QxkEmgFWHxdKd0Oa+zHCxvrUE3yAExNIHUKEZK/B0oGnBWGyvqv0yw8XaVs7dfcWcsRkjmQC35L/DjeTNWA0TC1tL8A1CUGzREdAH4GJLxmasy+xtflsEULOzrTt38xWz2LEJgIstDZvxlI8dhawbmaRiW0vwDUJALE9tj81YgacDQwtGDIMn2JdmrIaJ9a17RUHzFfOOzRjJttgrYzPmSfmtGV0lNmPYWoJvEIJie4/NWAEX2ws249GzN2M1XKxt3WLMV8wemzGSCTCwGQ9eucbIppFJKhMvv+4bhKDYkmIzVsDF5tD10CRWdhqp4WJt6849h65HY7tYIBMgdD2jVG/GarhY31qCbxACYvt9dD0KPB1o2IxpBTLjV8PE+lbO3X3FPLoeJBPAqsNiL+h61HCxV+h63DcIQbE9y9wQB+Bie+h6erv9NFLDxdrWnXsPXY/GdrFAJkDoemiVNGvGaphY2FqCbxCCYvPR9SjgYnPHZtxz82ashovNoa9xXzGPrgfJNlAubMa9QNejhostoetx3yAExLa7xmaswNOB0PW0G7oeNUysb91jEe/Q9WhsE4tkAnRsxg3vYBrcwUgqEw+l+wYhInYBPftxdZOF8of53ZSx2ezyt3Zuw3sC/sK/hT4KzAS+vDsCTHYh1WWJaKgOnQ4L8TubFyPD8bxnGMp1AIu5hQGXy8SRMGrauA3dXTv0BkMqZeFmHwlzALy0M46xXGaD0SZm+oXhxmE9Gs5NlMJyW8Hhop8nQHILjs2gFWdMnRh2K9NgjKX5FfXDUfsfbwfARBfsHiZ+MNOpwsQR4ntHqts7m9Z7EAkmMXccUr7MPbRFY4vp3GGEpXlr5r0HmWAyVaxKLzFUOalKTCUeC5DBMvuFg3Y+T+BJAA4pX2aF1mqm8fcwxtK8i3rjyP2PtwMguTfOeLBMnPjBTJd74+gq874jHQouOC/B5wmQYBkeqTHKjQxquuCCIwrNWwUXnCbm4+0AmC5WqIRgB1VIJB6XIGNLlbGOLjUAxD1SKJeMplQGMZ0/jLY0b8284yQxH28HQHQdKyMTQGiwY4IIAzSZjsckCGGx4woXJTSfZOJlb5kDY6tp3ApIbupd1DtcltBkqlCVceEIVDOBCofymveNVChTRjq60AAQf4UL25BRlBq9xqlODNDsKlxQNbILDQBRycBKc2ghWGkHmQCaTMHB/oeQLXYcXU0EKIMRLm9j4FEd8ZgOPKIjXFQ1rksdR1czBlamh65GTacK80WI7x2pQOa8whFF80lm6GrmFboaNY1bAclNvYt6hyOKJlOFqswLZzQwE6jwxsW8b6RCmfXoaiJA/DVc0mYNXY2azl9DV6Pemn09upoIEF0JXc0soatR0+nCfBHmfUc6FDyOriYClMEIXc0c0Gq24ewDWpz6aebj6GQiwESxNgOFjihzoMgRj8h46WTu6+hkIrC47xQuaXcKnYyaxq+AZKfekrlGN6kRILor1Oa+QjdzX0c3c4c5I8z7jnQouIZLEprEXkNHc9fQ0ajp7DV0NOqtuddwUUKTqWJlauho1ASq0NGo941UKHMcHU0EiH/CZe2eoaNR09ln6Gi2r2Y+jo4mAkQ1QkdzDxQ6osyBIkfoYqIEkpmvFLuYA3gSUMBpmX48xVBuMXde5lfUL3YxB8BEF+x+YRdjplOFuSLE945UKLP2ILL2ILFiF7NM7GLMdO6KXYx5a+a1B5m1B5EVu5h8VexizAQq7GLM+0YqlDljF3MAxD/xgrbMGuLPevDPGvKbeBm16C52xi4m03efWJuBXYyZThfmijDvO9KB4JRqbL4ReBKAF7RlQqvZhrFvU3JTv6J+NTbfCDBRqE1KGYPlSJQxiXBEooAtssYu5gCIu+EcbMvELsZM52/YxZi3Zl5jF3MARFdjbSp2MWY6XcUuxrzvSIeCZzymMx7R2ULB5gjR5zjY5wjZzRYO04xHdcZjOrGLWSZ2MWYCFXYx5n0jFcjMKXYxB7D4c4bL2tqMJ4eaxq6AZLd9JXONbEIjQFQJuxhalB1CpSBzm5pGwi7mkLBltqOLiQBxt9DF5IZTaJnp/A2ndTRvzbwdHU0EmA4rU0NHo6aT1RmTwSPSXjqaPOMRnfF4znBByzN0NGo69wwdjXpr5jMe0RmP5wwdDQ3swyM6j45GAUsldDQog2WWfHQ0EXgSEC5rJYeORk3jV0DyU++i3kdHEwGiS6E2JYWORk2nS6GjUe870qHgdnQ0EaAMWrislQatZhvO3qDFlTCzssV1qe3oaEqLtWk4T5uZQIaz35n3HelQ6jy6mwhQBnfobsoduhs1PYM7dDfqrfmHuZU/3g6A6Gas0AzdjZpON0N3o953pAPBNYcji+aTzNDd1IyTaZlp7ApIdjXMryyxTSqaTBW6m5qvGOo6qa6YSuhuUMaW2Y7uJgLE3+HiVnvobtR09h66mwqzK1tkF9qO7qa2WJeGQluU2VBki0ejvXQ3Ncxe/HkCxH2H7qbeobtR0/nv0N3UMLuyRXepAWA6rMwM3Y2aTjZnTAaPSBDCYlsORxTN5xsvdAnnacuhu1HTuBWQ3FqYW1lim0w0mSp0Ny2H7kZNoArdTQsTMQcZW2Y/upsIEH+HVtF66GzUdPYeOpsGsytbZBfaj66mtViXFroaNZ2sha6mtXhM+ktX0+6jq4kAZXCHS1q7ocVsw9lhumXz08zvo6uJABOFroZ/ZMdwR1ejgKUSupoog6X2fHQ1EaBlkUroanoJXY2alkEPky6bt+Sv0U1wBIguhwrxJxQQLh9djQKaTg7HJYrZgmXiYxccAF4HKlzg+CMSYOhHd6OAZtjDZVWju+AAMF3ocnpYE8JMoLtiOqHLiWJ+cJ5BGI1HS2Cl929APOIt01q9Bi2g7FXY81VXMmgXmsuCB74ZtEh51KEEkdURnUgAHIQpEHHvtVvBbZ3bvMCcBXbAyB3a+WkQFxBF8uvHvE6We8ZiHBAldI/gymPfWgcyty0fhyRnDWKqlAiKcUDMXXgBKHBLjxriqu3UikhyEsGzjwr3kLW8J4mESpwQD5y7YiwaGpeGk4Gt6QC0M7YgKsmIvBInRNyZV1RHtz17pAd2wMgd2vlpEBNwiNzF6EW9rBgHxEPrmtRZQvWuoTaX25aOQ5KyxDBNSgOlOCBm3vNWuttq7bx6ssV1wLgdkvQkiOcfJe5S3HtyGCzFAVFC9AEPxqr0CSLUHWzNByDJWYOYKiWCYhwQc7e9nrO71cfVQmADrBgO7WJoECvGIXJ/g7X6veyn1ucLwoPySihzLVUDZZrjBwFOj0fmVVW1rho8Ni+rJp6uagF7kkoF2ClCxJ1p2TKMs5p7xSuw7SHZfLwhxNVZwJ7/0hUEjbsSqzF1Pj9npmkRP18h/uhvz+KY+B0d0Rswbpq9BJxo6oKta13JCyOdJx+o68k9pQAUnu9Og7BPhJ4ITRko5gDnt4DKi6ovgKfIQG5e+xUl8R4vGmWgZJOq10HLfH++Qs8A0SpVVIsqx6ZWHqRPYxiv6cAHFlD3sQQ0igPM9PH2Aj0DtLpFPA5t9YoJuTfA3Jqf7WMKJEgUeRQj0dwfny9IKAXNJIiVoN9Bb8xmA6ESuo9JkiBuE02ogxE7so5vxjoknnMSmDcQ6mD7WPoaJSiMdbhWi0w5FEKgZ4BoQUEoBU0x2SCfbWMhdA/VZCEcYBqsBDAbtE6PUqAU12ra+5tepd4AlsL30fwtStR41IJWMSyxFhsKtaiZ1mgFtpoeAw+OAKEauo/p0igOMFMoh5M71GkdPQw8eMYMIGcglMP2MQkaJco8ypFW0Vosx4ZCOa7BM5g427UOdMGMNhDKofuYLo1iwGYK5XByh/gWHgKnQhMqAvkGQjlsH1OlUaLMUA6afHjdk2A5FHoitArZ4EyhUYTrAcczUgDK4fuILo9iwGaCciC5QbQUKFw37tVr3WMi+QagHLCPSrAoUWYsx2rQbfRQDoGwHOspMPUG5SjrODcshwBYDttHdVkUBYQJywHkBq3DOrEcNPMptg4FsBy+j6qyKFFmLMdq0G3GcgiE5Vg3awX61nvd5dwdj48AWA3bR2VpELM3DxYDqA2612M39K03zSB9YTEEwGL4PirAokSRoRiTvpC9wpVDoSdC6ySbt1eDRirSz6OWkQJQDd9HdHkUAzYTlAPJDVp3TAnKQR+T1QxXcQWgHLCPSrAoUWYsx2rPM9VQDoGwHIXWssdy0HKkN9xuKIDlsH1Ul0UxYDNhOYBcoboOdIYL6VyNvBYshwBYDt9HJHiUKDOWg0bfhl5WECwGfQCc4EyZ9IFwwnwEwGLYPqrKohjARFgLpzaEFnZuUAr6DLolpN4AlsL3UQEWJWgMlaBFcXMNd6EKQS1o5OMs0MPS2MeOd+QKQC18H5HlURQQJigGkhtE80hCNejL3d6Be9tQC99DJVmIqDHWgj6LbrEWAmEt6M1uhZsvGhrZC1zFFMBa2D4qyqIYsJmwFkBu0DqmHW6+Bs14M7AYAmA1fB+VYFGizFiOi+b3n6EcAkE5aH1qWrnR2GjwZK9QDgWgHL6P6PIoKlSYsBxAblAOD81jPZ/PCdcrBbAavo+K0iBRZCgGv96e4ZKhEBaDh1ZiMehFNLZVBbAYto8Ww6IYsJmgGEhu0LoA3PCc0lcjTxfc6CgA1YB9VIJFiTJjOVZ7rvcI5RAIy1FWJSc8vtIPEdeES6gCWA7bR3VZFAM2E5YDyA1at9gXNA4amLMexIFcACyH76MSLEqUGcpBg59GfIRV6InQ6ikvuDGnH6KuGy7rCkA5fB/R5VEM2ExQDiTXcqxWnTJcOfrqmUqBhyQFsBy+j6j3KFGmlGPudWJkntHPV4jLcfPLMhogd+8+RIF1V5v4ZFEnf9PS94IzXV+0SAXNpt+NPAS7RIiZpczOrMDODuL2R6lSC1G6ToxWb8zuBdhRZDDqJUtO6IS2LxCPES385k6hRL/xw7TPbuvsuu4iE9Em+jUel9pIdd6PFtaWeIGIes6wKMMChizKsCe0dcAmtAVI89XALiCK3GM4cw2RPl8hGnGYu8Ta0AKGxNrqHSi6+AdAot6i7PVUnEiXYDkRZk6y1oT6XPzTFARVAIgF8uRSWHfjReIuRRvi5qU4IEponbV3xVirFaeKbApARgZp1hpFZSmRlyIizNz5Rzj3abLEhgVVwIkVsuQ0iKV/SNyluHNYmePzFeJxqDW4JroA4pInDkBGBmnWGkVlKZGXIiLMzL8+uM+cYS0GAJxYIU9Ognj6UeIeIboaLa7K8fkK0bDNPGIs6hpxNQ0HPCOHJGuLIrKMyEpxIMxMn0yAC31QgSHFdlZBLDEJYJkf6mSc7PXIsQgR4aGrWQqskXpc48QByMYgTVijqCDh8RIEgHjXuQQL/i27h4UlAHBahSw1DeLJB327CvSZV4plOCDK5+5HKJ5tFrjEhnQU0YzvHiUpi1chIkybcRG8ZaewAgMAwJvCChsexHOP+vag06wrAFodToiHvuqygBKLHrVwbRMHPCOHJGuLIrKMyEpxIMScB672t+wmi+JpUAOcWCFLToNY+ofEXYqeZWUJL8UBUUK9BddET+C4vKQDkJFBmrVGUVlK5KWICDPrKobiw9PbYFADnFghT07XPbT0o8RditVoc+w/T4gSumdYyi/RzFSx8ApARgZp1ndYxNCJvBQRYWZdxVB9clhNAgAgFsiT03UPLf0ocQ9rLboCoJXihHhwbQmuidYYxfUlHfCMHJKsLYrIMiIrxYEQc75xtb9ljwe2NLOdVhDLTCN47lHfrgN9IXLHOhwQZdP7EavroofKpgAkZJDm3HvUpEReh4gwc4El/5Z53K87ALwCeW5h2cMXgbsQt64C6IU4IB6Xmx54laC3+xVvWQzwfBySnDWIarrDIoYfbydCZbh1HUP1aWG9OwC8DgpZHe648uGLwD1mdrXWFu8kTogKsRo5ruSX6FcfLLraUAdFtAwaQjQZi9XhQJhWVzAUn3yHRf4AcF6FPLW45uGLvl2H3sNjxOcrRAn1Oyzhl2ie0Yb3LQZARiOuaOhRVJYSeSkiwsxNVsJTnxLvVR1wYoUsOQ1i6R8S94jU1WBbw1K8QDRM9MrhGW4BTeq82RywjADaWXuULcuJtBQnQqW4b1n0Tkpxj7C4HwBeCoWsFBrE048SdymKrvjnpTggKkXRZQA1VtG1DrUUCkApSlzJ0KNoKZTISxERZi74+LHsFNa3AwCIU1hCzoN4+lHiLkXXBf+8FAfEg4dTcM00nXTqyKYAZDTiKoYeRWUpkZciIsS8+p90o0+I2A/KHnJSX8v6ULaHuF7hFjvaNPL00oX/JErin1uBxwBPxCHJ1KKIjs1iwtFkzoSPHcu+wqp3AAClQJ5WCs8UUdnWTjPdpCj/gCibMo9APFcPMIkNySii+WoIFaQsXoGIMG24D192DYtwA+C8CllqJT4SvOjbdRj5eNJ6gSihoav9aazRwpOWA5CRQZq1RlFZSuSliAgx9xsfOJY9wzp3ADixQpacBvH088uTVqZvWXvsJk6IxrRe84GtKdPCofiI64Bn5JBkbVFElhFZKQ6Emasscqc+WVZ5s6A5LPvGUXJYHM6DePpR4i5FvY4nrReIEqrpiLX+6NhNGAAZGaRZaxSVpUReiogQc9FVCsWn9PCkBYATK2TJaRBP/3p50sp5xKXAP18hSmh0qbPGGrqMobIpABkZpFlrFJWlRF6KiDCzrlCoPpesaGdBFQBigTy5HNbOe5G4B+VecTXwz1eIR0FfwTXT2qG4gqQDnpFDkrVFEVlGZKU4EGK+ZHlCddEbdI1pgPMqZLlJDEv+ELgLUeM64J+vEKVDXzViqKpLGCqXApCPQZqzBFFNSuNliAjzrttz9Ckz3qM64LwKeW4SxLOPAnchVoMtORbigCih1c5jrHE/QiHEhnwU0ZQ1hGpSFq9DRJi20Deu4JPlicOCKgC8OSzZ7UE896hvj/ddrfWOvegJ0SDclMODW6aFQgveThjgGTkkWVsUkWVEVooDIeZr4jNHpmWkCl6EHXBihSw5DeLpR4m7FKvBltiLnhAlVHt4cMu0UOiNDdAAyMggzVqjqCwl8lJEhJnXrXhHn+sxRgiqABAL5MlJEE8/Styl4E9ZYykOiBKaV3xwo4VCY+EVgIwM0qw1ispSIi9FRIh5dHzmWDZ/2glBDXBihSw5DWLpHxL3eOLVaEvsRU+IhvqmGlwX0MJTrgOekUOStUURWUZkpTgQZk7hYavx1F4QU22nFcQzS/GR69S361Bjewg25VHnEaVdNFYJeBSAVAzSbDWKqqmhJaDJnBWfP/L+ACGEU8ApFbK0NIglXl/aAA01ir3mCVE2NHYI49Dyo9hZGADZGKQZSxBVpDRegogQL42NgoeTRuOp8GLjgPMqZLlpEM8+CtwDsFN7HI/eJ0SjolOPsXqa8THXAM/IIcnaoogsI7JSHAgz61ri6hPXDQcAiFNYlNuDePpR4i5FneER4vMVooRo+hjsOHtbjzXYcRoAGRmkWWsUlaVEXoqIEPPqcnJDnx6fuRxwYoUsOQ1i6R8Sf3zpZyehVY5738P479BjPmEv+erpWP15PR1mW3bvU8yc9jLKN32TmQcvsZUmT2CmJr2d5xnjbPto4MmGROVf+3g9aQm0/WTpLo3ry4Yxq5g7H/EMuX7QGs5Uu/oHl3DOF12YfUwgIOvZlwfL3S3xe4mUJw/6TXN1YXuU6gZI71XiPmMduz2EXaIYIESkXCFa/44qY1FkiI8z+YAjy0YgS1eCnIL2+sBW2KkLUt48q4cCTymtLwUqDi+AOfzAMtn0ebkM0eV3vp97Wt3Mo0VpgGySpvcH42h97kwvDUnGOms5jkBPqJAPczbHb0Dm+B0J3PXWYcOd7qd+rxBbj/kf3tL+W/75+Hz/Dz+//fu/XWain2Vmev/579+INK8DzTvSrO3EMulJYpT3nz/f/tOXf/uVrty1lS+/+JppFMXVv/zJ15/mus/M8/7y668rVypvTmuHRCPqRvvyy68/0cc0ef35p1//889/80aC2qj0vpVui/q6AP78X1b0X339afm02Rp4/9FX+v2sXxOwP6e/2n3fX/6aXdaRLbq59y9/wSz/8ec3vIpMGoVR9tp8n2+Fv+gw4Pm2nql4uT4Byqh7OXdeVsjNLgsNKjD2wq1PA2ZmQMPNyqsuKp2YH5KOmOsaOC838xgeaBtCs/zG8DSeau4kdxAREPT+yJVoJh52+FMqPL8mlYoun9MQ0rpabfN9Cn0TwnMi0BP62gAAveW8uWAK0YiTucMYtHL1oJNGi68gxivAByQnEFVgNdDbkUwrblGPykHB2qxUQYUktydCO38LuvWdNTl7wn+6oiXd6UFj8cu60CYa8VVoZhEeti7QE6C6LiU844z5vSLm9rt4mheaMoUO+5339bXQ+8RqwNOBWaXdqssLoG2s5L5dXgB34YnqvgE4bT/z2EBNTYNu2hfAXFYT/gOFppe0nQ4Tz0vRWf+61eQJbQR6AlRWNXtmSB2/BWkrKTTB5bh/D+SOe2jPNyFIQh2/Ba0z/75DEt+C1HG3gX/OFZ7eK9LQAWr967jJFX5dRWsbQ66ns9V11aYLeL1KW5douuy3O8E1+Bd7c7vLuhzTXym33T+szePLH+9r/rofyI2+pwqXfN/tL7/+VOhWYdxffvt19W9t3UJ8+auv9GYx1y+/oY6nUzK/2mx5jrXf6m3mdZW8UqQuZp2fkNdvuDcatS/07/6RjXz11TX90vuHH74tS31/6KTQ7mjpt5p1l7K/6P/c09HqbeBTtya5ZQk70/FbLdv7qcrrMNwTJjWbGGtvT3yGMXBwRf/vOG0yTZxC9yALXTVu+5F3P6u6StuLZ0FqCX9l+sZeGuvlErX22EuYZ+7rPg24WlMFPD3jKyAuPFFghhgAtLLX3jaXE8j0me/YmTLtC+Auhecs+wZgtFHLd9V6FZZ+w9D7NISudYG9Mr4J/RZkN3i50qj0/nsg+rK+R8dXKNNHOo2VaBLfgNyxrEvJ1X8PZEmcGu0S9X3NUBsYQvTiZrbQDGkETBv0frfyS/e07hv5EazS5xxqUX9Psz03h+SMHeWiZZ+SnLF8I9XG0Psq2tpaQVN2ljP2x08qhXj9moFiBr0MrM3F6PjDLcYHKGZaH3AdHoNETOdefaQua0DmztPR65KVT92jy+LQz9PlvAzVxDP06drSn2+1pN3W09xFlD0S/0zHHfbNy5687KExvuP0qGn1SNQydbaHBdHcZ4kvMpm/j3n6Xot7E8vL1W/sooFerkM1JVllvu5bJQWuUjX9er2YsvsyMy+f8w2gSKMRh2jmS26RlO4FcAea/mR+CzDKqOF7CnzRxHJczfXczsOqHbr2r2kcd/Dvmt+CxJEguklOvwda/RGXHRxfoUy/n1aWpkl8A3LHa53KV/o9kCVxavy+648/jch1gkrTy25Ydumo9OKhw9XEG6NckADYF60PaLDrDp5edO6ztiaecDrRnNrXboLHKbUcM+zxPF2+61JUaL6DCy4qIMwvIyZMIUtaL04O7OsX6LppOkAewrh1cdZ3vuRq9HIhEBm6x/N0ebka7XWy0pjyXFP3inIKPA2YNKU1A3tByleg8equBEjQF8CC/s4hXjQViD3sSyZnlCPG8/ufxeuohT+B4Of/xGcrvSzl/k+gJ0D0MfLNZwWtgMoN7hsQLfi5HS38NyAL/z3njrvR/BK9hEQ9hW/k/sr3Eut4lWVvXvaD4ucJ0HuFdpm5DPrUbZnUFYKZdhs24Lpld/K95n6JI5G3CW99rmlvfbhXdIcWgonpZApIMuKtqQYh9JahcCsKYgNAGfACBB5jdoi/DWNnU3MTP81c4rrUADARVmZIISSYmE6lgCaCRyRIYJmTVxlIdKnhK+EBPAmY24mBMnnhAYtvJj8ULX4FJD/1luw1uomNANOF6szd0Xq4bTqdApKOeGuyQcwW3C7Y4/MEKANefsBj8PIDzqCmZSCAZijeV5fdpRx93xQfANHxUk3uUAc2ZDWdTgFJR7wtWRSzBfNaAyg4AJQBLz/gMXj5AWdQ0zKYeHzEV7OX2C43AEwW6zMzBjuIQhrxqAQRLPROd2zKEaDb1f0oqjHunOHccVP5FZDs1Fsy1+gmNQJ8dzxxdymEBBPTyRSQZBIckShki23eJj+jScytY5u9eQkCjy3mJT+WOSC5ibdm3mqQCSZTxarwQk0Q6oKTg703YKkkPH1RxpY5B2z/PAHivy/wv7GPMdPZFZDs2Pdqe2eJvM2PtwMgqil1UYcWgs12kM0WkpnxmAQhJHbdUecHHtUD4HtuvNot04+qGMquJudmfjtzi6tSD4CJLtg9Yd/rplEl7IPE11JECVtmwyvY5wkQe5vgtO6ZrxC/Xwe/ApKfeGv2Et3FBoDppMtRh/LA2rXyiJUVQNMRb002iNmCb+wyP0+AH5wKOC2zwklipmegQJfdCwiy6C44APzEESs0B1y43DQ6ATSdeYdGGMSw4JRbOGsPwF9haIyU/cIrhrGL2WXHjocq5RobcgSYKNQm5YzBciTKmEQ4IlHAFtluqMrnCRB3T9hQUsf+xUy9FXJAshNvzVyiu9QA8KMdVqZhv+umkTXsf8RXEw1Ctti7BqlgEvONV7pKv/Jj7Hsc3ApIbuK936VI7G18vAWTqaQquvOFZ4KZTnXB3Zp5W6I1yswZO8rPE6B3TeVyf3plC21GTWM3oMnul2eukU1oBIgqS3ejDnDKimFEGUSqnyYZJGyZPT/C8YwAcfdwjcvdr4BqGHeHVqp+mrPEdZEBYCKsSZt4dptpVA17HvG1FFHClnmPeIZGgNjvGUp13w8UqqbxKyD5ibdmL9FdbACYTjoadSgxXDnpSkynYjcYxbBgWhxiouAIPAkoeKaWgj2Lm5qBAU12L3imanQTHAGiy6FCvIAEhMvxYdABSSeHoxPFbMEdH8Y+T4Ay6B0vuqVD+xFDbmzVlNzETzOXuC41AEwUa9NRaM+RCEWKnyUYHy9J5I0PYJ8nQG+YroQX3HplPE3MVH4DdnbqfZWdkETf5sfbAZDUe+LuDRuxmSZWAZF749EIQlhsLeF4oklCS8Ni1YIPMm6a0IKXVPOWzHdsk4kmU4Wq1HJhSzbTqfBBx7wt0eOY1o5d5OcJ8FvDC/wH9ixuGrsCkh37auYS2YUGgKh6rEtHoT3K7BXS6PFoBAk/uLSS/wgwMn8s+A2IP1zi7/cMKjQ9z70B/skTgcTvw8xOHA1CJPpIFz6ZEgA/mRKImfsjB6+2f/7wuAoIsduSmUbQ1A95+7UjzTuYYhkOiJLhqwSEWkdCQgmXAzsZszVbjaByjMSLcED8fvfeH3KaGz1rFYxrgBC7LZlZCMs9yttluLvuxZ9pfr5ClM49eAixQoVeXGcgMzvRN8/8TskQyddCqCKj8UIcEDPXvayLu5X9ZagHNkC5HdJaWBTJ/9S4X+CtFnzVUIsTovdqJWuhpRars+6hGAZ4NRzaWXuU1GkuOmDawMfbC0TkqynzqjfmRvegHQM7YOQGaYIWxSREmbscve5vuqAcB0QZ9XbE6nv2LGczwDPaH976UfUoqsuYvBwHxOSZJ7ACt8SzNkFgA5xcIUtQo5iEKHOX457qZuU4IHp1dV1a6x2LZunpTc5TsCwdgHbKHkJFGY3X4oCoFrSg4wxulScM8lo4YLUwiAthIbQQh8D9qrDsqbK0fp+vEH8q0WKV79K1ysHa7ZYK4ZAUwkKIIqexQpwQM18PPLNo4h688LhtzIrszMTd8o7adg3WXWtKsQYHRJmsll+xt6AJevo0JrM8E4ckWQuR+MMPoNnAx9sLxMx1f6XgbrKulAc2wMkV2tlpCEs+Ctyv3K6LhyN7IV4geg92pRCr0sgS7bzc0EwA4WTBf8sBDq3CC8SvrPf8ul6Fe8+d61VwwKpgEIu2EJZ5VLerUFrY6/MVoiqUPXGWxypTyxIsr4NDUggLoYUwGi/EATFz5umYwG1PlAuBDXByhXZ2GsKSjwJ3IVZzFR8rxAFROmPPnOWxRtZYwfJcHOKTGkKoIqPxQhwQMdOk0j247XlzPbADRm4QZ9f3PLqe/CFwv8e7ihBZIU4IP/PSWDRJz4D+AQFNB6CdskcRUfSpSeqhFifE5Nf+9MdqcdsNu9TCAauFQ5qgRjEJUeYuR+n6OLFrgTblQmv7WIlTvfQoCYkDcq+IkFTBQmgVjMOrcEDMbDfs6lbkxlXjlkeO1IZIdgWeAaK0LX7sibFMPNqUwmrcbZr/qHpYJLwDloFDkqSFSIUWsQKODXy8vUD84vzWJw9x63aXLoF7vG3n1+cGSYIWZecP6vbrwavq0wPrDzZ/Vjge2u1U+uK6wE0KApoBQPuYWQSR4Qym/oSYt/AgXXBLeqeqcQ1w7hTuZiHKTh+0bfX0IV8G9WhTFvXSxwfyx4c8s4y8huzMU/O30C77gPjNut18q1vjaZk8sAPG7JCkZlE4bRS1ZY+6v5xX2WhTFqPpYwL5D/1uSsM7YCk4JGlaCBViHK7/gJjZbrjVzW64NbABTn6F5yyIsvMHdftl4jV4bLHqDza927tuKSj507w7Fx55ADQFgHaaHkKEOIfpPyFmtttqdSs86Q8ENsDIHZIELQrnj+q2/nqpA58nn68Q5VL3nLZ2NtE8O7UhjwNyz4+Q5OtRRJEzWSEOiN/R2822uJV4s42AkTskCXoUlRBl7nKMtkcMQDkOiDIaI7hWmn/nCmV3wDJySLL2KDzuGZkY+Hh7gZi88pxH4HbcdQPg5CnctGIUlRBl7tey6XqkUI0DobelNJ4KI9EUPPi8hIDmA9A+phBlq3IircWB8Hv+oc8S4nTZfbeEdcCoHZL0PIoKCBp3JWpRLyvFAVFClafD8kh14DMt2JaNIZKwRRBFTmJ1OCDmtdtscSu3PklIXAeM2iHNzqJo+lHhj0+8UGnIKB9oGgFyVa7biPfBlH9LcirQ7aJ8aJty38M4bplw4QBoQfu+RzpsgD9Xp2EJ+3WIm/K23gF+l+/eZXtrdPlh4ACYLuxeY7B6kCkgyXRMNAjZa6NfQSqatC75xT+DqT9d1bvHNlO5Ddi5mXcR7yATTaaSIonM/aOuyVTTZCqgqYj3jVQgs3TY/nkCxF/Qv14hupomVAERWiBzi2xCA8BUsS5FpnjQYGIamQKSTInHJAjZYscFe3yeAGUwcijXQLEjSh0oVP0kc41rUgNARP2Gtpzk51wLp6aRKSCpqPcd6VxqvVo8VyNAqyhdHctFV11owmZqBgbsDM27iHeL52oEmC5USH7U9XDppEsxnXBcopgtuPC3F/Sc0bfgAFAGe5gVm8vgzzHyJevHb9MCOsAJpcrT4ib6FGh7X5b7x1swiajEUhUplfiqKV8VJPnZ17Tt7ZZokCGLlXExcpahJwfAy4XxANb80OVnM5p7Lpy988de6Iy8V5/ChGqOnY7snrqmG4AnAHtOHKWT2XR2KqkaWQJvN+dDF16ckNvvPHpzsQgAf5OWJfk3qT791iwG8Y993G1rCb5qWm0C8HSgSrEkXJ1Atg2orG6VRNU3CAli9xiizxMAsVPOC2GY0naYf1ojluxsawm+asoXewcAYqcWS8JJQ9pk2dqFpBKbmfoGISi2ZPnG4ACeACRsmSXn3dCIXwwX61tL8FXzsoZQDjIBklZnh0sdyFKP54xtlUTVNwgJYpt8/H8AILZ1KdhmaEPyv8wAsba1BF81qx6bAIDYlrAZl3Z5MxYDxOpWTTRhMzYyEDtHbMYCgNj7wmZME2NYMxYDxNrWEnzFnCM2YyBToGMzLrMB2WxKJqnoVs28B+1K5mJpIo7QjAV4AlCwGdfc/TQSw8X61hJ81cyxGQOZAhc247qHXgvZNlysbdVEL2zGRgZiW4/NWAAQ2yY2Y17L0/i3AWJtawm+avbYjIFMAel6NFz2ZiwGiNWtmmgN2pUMxN5H11Pvo+upd8ZmXG/oeup9dD2+tQRfNY+uB8gEmBObMa1rac1YDBA7Qy9uvkEIim25xmbc8tH1yKhYZWh5ejMWw8X61hJ81Ty6npZrbMYta8cs4TKSHV1Pi3c45huUBbHN7o4DAGJ76Hpah65HDBDbQ9djvmI275bLQaZAx2ZMa1PaOSMGiNWtmnnoiYwMxN45NmMBQOzd8A6q3d2bsRgg9g59jfmqmWMzBjIFQtfT8A6m+R2MpKJbNdHQ9RiZi6WVIkPXI8ATgInNuBfoesRwsb61BF81j64HyBRo2IxpSUlrxmK4WNuqiYaeyMhAbE+xGXedkMuB0PX0Xr0ZiwFibWsJvmqm2IyBTIHQ9XS8g+l+ByOp6FZNNHQ9RkZiaR14XvhxSwWTufkNTr/1ashvQcyc/BZETF4NOJu3GiJTd7VuIwBPAFKkUtXdtnGRKni7qTV1EXthWV5DT0eIBpOWdb1wqPMycaBTail+f27A/ubXdt8fyy4TR1XR7gF4Krvtjl//u6lnqgKbfZk46iwI2UJrHOZ8AMRecUAtz5lRIaCaJrbiUAHz1nQrDsH7eDsAoit30FdmCFfmQVdmSKfgMOdDzBY84jDnA6AMBg5zTjwZMzCoaRkIoBmKt+Y/4oCqA2C6WKERgh1UIZF4XIKMvQxsuqCZfp4ArcWacKDzMqGUYij3NiUv9ZOcNa6JjAARXVCTfnU8H9R0KgUkkWtiiihhy6xRZI0SdQYH8a84nNZN4644VMC8NfMaZdYosuJIvWXip/5mAtWFTVe9LdFTpk7YYEIDQPx7DgfxnzirhpvGPnHMs/hq5jp3hAkNAFGNWJfRQrDRDjIFJJkRj0kQstdoTTk23QjQKqlhBgf6+cbji6Hs25Tc1E8y17gmNQJMhGMq+F9ovGo6mQKaSsKzNMrYUnWiBpMaAMogzN2Qhs7dIAzt6G4U0AxruKBqdBccAKaLFarYw5jpdApIOjUelyBmC55HlxMByiDM4ZDGDF2OmZbBDF2Oemv+8+hyIkB0I1Zo4OgyM51OAUlnxKMzX7qcmY4uJwI8Z3bocmYKXY6ZmoECkqF6S/4zHV1OBHyKbncIwQ6qkEg4LlHGllpZxpQnHDSJVyd12LftUyd12Lees8kFUJ9wDBA63T3J7sf1NAJPY5fda+hUZo25O7Afp2x3yQ2EbKFjtzmd9P4AiF065Lrf1k2eJbpIkeWeodghUmA/TMrORXbeqRT9TScCQFX2c/eUOwPz98jszea+mxRDs0IJe/nX64ZQnydAs6hLhyzcZvIbDds966v4mzvzvB8H7v1zrJubH3ZGgBceFmUaXUzhlt2tUBpfqrq5zUAhsuYvNoHPE+CFd72BLgNnW9Ft+rwt5iW74uBGXvPXL1gfbwfARBm98Qqv27ThitkkspyhPfDqKfW7vVRv6G4i8Nzr8kLvfI+MJ46ZetopoNoG3vpZdLsYReC51/Sd6BBL1VvsbgyQdHq4ckYxsmxvDt3NATz36rvutEycgMVNycCAnaF57/wtugo+gOdeuRe6m/sOF3M1XfCNnYF5W7L56G54wdweBAeAMqgXRKgpxK/xRtEAlVsvEKsDZ01sAHgl3lidgpUrsa4Fq17iMQkStswRbxEP4LnXz8VSDXwUdtP4BdDsBj5oW3SXOuKN4gKwMn2GYH0eZH3GZPCIjPMmkZbDRakpvI9YJr6PWCa+j3BTuRWQ3NRbMt+xTSaaTBWqQt/lVwwVJ1dwQFMJRyQdbyNyOt5GHADxV2gVKbyLcNPYw7sI8dXMjzcRByCr9mJdCt4WmulkBW8LzdtSPW8Lc5Lu1sUGgKchx4vbMqHFiGHsA1pbCu8gLK5LDYAszIu1GfgEYSaQ4ROIeVua9Wy++YqdzgHQTOXhuX6ZON+Xm5qBApJhDu8bLLoJjgBPjB4qlK8Wwl3toLtaSOcKxyWKkZVvj04nArzqbbjA5Ro6HTMtgxo6HfXW/OvR6URAFtmF8zYX7HTMdLoSOh31tmRfOh1ahDZcoiJAGcDbiZzD2wk3jT+8nRBfzX0cnU4EeDHbWJ2BlRuxrgOrPuIxGS+dTgmP858nINOtQ6lKCp2OmcqvgGSn3pK5RjepEdjL5MLu4d2EmU4W3k2IryWazkZcajiiaPL6sPhkv8zQ6Zhp3DV0OiW8dZDYLrOG41lqrEoNnY6aQBU6HfW2RM9jeryPOACeLx+FhrcRbhp7eBshvpr58S7iAHi12dDplPAuwkwnC+8izNtSfel0aP760OlEgJeXDRe3mqDFiKHs25TcangLYXFNagT2Ora4e+hy6vEbigOaSMYUXzqcWsMRRZOYW+hsaphc0k3jbqGzqWHqSontMms4nrXGqtTQ0ajpVDV0NOqtidbzaM6jm4kALwsbLmk1TC7ppvHP0M3UMHWlRXex8+hmaEFZOFNr+G3ETKcLv62YtyX70s20dHQzEeAlWPFlcm45dDRmagYKSIbqLflrdBMcgedeNjajQ8VgobYNfl0xP00zvXQ1rR1dTQSIu4ULWwsTTLpp/C10NS1MX2nRXWo7upoGE2/TuqzYkNvxO4oDmsyFib50NW3GozrjMZ2hq2lhYkk3jXuGrka9NfMZj+iMx3PGqszQ1agJVKGrUW9L9DimPR9dTQRo0Y8MQnuYXNJNZVdAstu+krlGNqEReO5FXuE61lPoatR0shS6GvW2VF+6mt6OriYCvCBruLz1Bs23t9B4t6m5tXBR1bgutR1dTW9YmfD7iJlAFbqa7WspvnQ1fcYjOuPxvENX0+/Q1fT76GoU0NzCPJUS22XOeDxnrMoMXY2aTjVDV9NnPBbzOJojH11NBGgJnhwuaSOHrmbko6tRQPJTb8leo5vYCDz3qkFwpo7wm4iZThd+UzFvS/alqxnt6GoiQBm00NWMHroaMy2DHrqaEWattOguuB1dzWixQg2r12JtG1a+xePSYlfzQ9OvpdyvR6ERafRIPNP7NyAeEJZpdJ1Bieb75CX9aIB5D3ahsfA8LswgnonNg8hirE4kwMfbC0Tc7aY1lsFtCeaZ3SywA0bu0M5Pg7iAKJLfpdNMm/eMxTggSogWsx0Y656y5q+QuW35OCQ5axBTpURQjANi7rKXLHS39KghrtpOrYgkJxE8+6hwj+jK955DwitxQjyu7IqxaORYGk4GtqYD0M7YgqgkI/JKnBBx049MKbjtRXc8sANG7tDOT4OYgEPkLgYt15hiMQ6IR541qbOEotWJbuBy29JxSFKWGKZJaaAUB8TMvPY0uK3Wvtd20rgOGLdDkp4E8fyjxF0KmsI5x1IcECVEC/9gLF46E+oOtuYDkOSsQUyVEkExDoi5255bz93WhbGFwAZYMRzaxdAgVoxDpAyNS3vOCZoAJOc9OC5CPGotayyGFlA11iDJCEhwhDjHBRQ9XLxsD4ZlWR9vLxCRr/Y8UfzqGPZcchbHAZJOYdZJUfFiD7uogqhyV2PdSvF6ujTxdNvVOCBKqMmsXXkFHYUGBgyeW8vtm5Z6NR/+pPXa88DRDNf06ygAhYb7o9PqY9gnIs+AJJoyAZj3Su2QGu/AUWQKsh0F7Ub7viiUSigTdc33rkSEQj6dhuGDqHUmFgYyLRZrAFeiyqGxfZocGg2i9uZhnwg9A9RpMgSIS/cWE7k3EI6C7uOaJMoh8ijGzRPXfb5CoRjrzLturMa9jjkmxHaohe6hoiyEAUwTauHMDiUZw6Fx12Mn/aDl1BsItdB9PH+JcmiMtSj+Gf0BPQOkn9ILG3WVFx4dAbAavo/o8igG+LfiEXoGqNEkJhA48zUSyDeA5bB9XIJEOWQe5VitmdeefIFCOVaHNDuWo/OcL5DRBkI5bB/VZVEMYKZQDic3aGWxLnkQeLXxiQ1TgFAO3cckaJRD5lGOmycS+nyFQjmoS2pYDuowsb0KEMph+6gui2IAM4VyOLlDlSb/wcCZemskZyCUQ/dxCRLlkBnLQVNsS+96QM8A8RqUzkY95sT2KgCWw/cRXR7FgGv3cC8QloO6TO4pLTAt2o3cbGMxdA/LX0McGo9aLIIrxVpsKNSi89RUQEbDPrCxChBqYfuoKItiADOFWji5Q/zoDXGvfQfj3Jfe83l+so8r2EEOkUcx7ti31jt2rI3mfMaeta17no6NVAAsg+8jejyKCrxjv6q0bnea/A4qsFp1wcu2AKECuo+LkSioLupv635vxB61lfI4q7CXmoQq7IkQvAhshxroHloCC2EA02AVJJlngBKtz4px+aEbqRnAQtg+nr9EOWQftVitd8QeVaBQi0Hr12Mt9uyAkNEGQjVsH9VlURTYTKEcTu5QoykiIfD6I+EVSoBQDt3HVUmUQ2YsB62c3WKPKtAzQLworbP1i6cW9YwEwHL4PqLLoxjATFgOIHdoHeiG5Vhd0Y0XKQFCOXQflyBRDplHOWie2hrLsaFQjjJoJlMoR71ollIoxwZCOWwf1WVRDGCmUA4nd6jSpFQQmGa4xYuVAFgO28clSJRD5lGO1YBLvMEQKJRjrPOsYjlGoYm0IKMNhHLYPqrLohjATKEcTm5Qvx8pYzlWbzTwqUiAUA7dxyRolEOmjPKcMmXkatFl32AcEGd0y1z9ez41Gm8pU+UbkPeLCgFkdOKegnTHQWAdseCT5IE1Is+AXPuBVZk7fULKFyBL99InVvp+tlkYtDfxoXBXghZDgInWP18hHrZ40btpgxaQwkT+u+/cAB8Yt/cUdOCxZ2ejTo1uz2G6thfoicmYW3vAdNFgy8TAjnDXTcsrwMTnL+r2SEJaA+EOVTghHs9Ygyt3ltfAKjiwq2C2VsFCSPpOoxNcvkDMnHAWcu4pUwpxFVDiK8yQ7hEs9Shvl2H1JynFMhwQJbPaUQi12mYoMQA7GbM1W42gcozEi3BAzFvDxPELKI9WQlwFhNhtycxCaO6HvD08j86fsBLJC8TjILNOmb5jUe+IZG5zMmZKsu4vcpzDqnBCVIV1jpRQvPVchxPHAyBVcFuqYCEs86huV4Hu/GqswgFRFcrQmeQlVpkaS8rgwK6D2VoIC6GFMBovxAExcwlzO/KMAq2HwAoocwrzpUMISz4K3IVY3cBosRAHxMMoryPWuoaHsgOw0zFb87UQqshovBAHRMyrDeOU5NwX4sTxAAiz25KahdDkD4F7tN9V1E0LcUI0BG+184axqG/EWekR4HTclnw9hChyGivECTFzCtOTc2eJSyABIIVwW1PTEJZ8FLgLQfd5sdM8IR58eQXXBaQwHz0CuxBmayEshBbCaLwQB0TMtCDCHdzqA085s4XXTMnL/DXzQ92uAq9AFooQER6PWbTAEmndDY2JXA7sXMzWXC2EilEWL0FEmPcKC1ml0UdY9ggA4XVbE9MQlnpQt8cO7t9JsAgnRIP69q89HmpetxZ4kwHA2bgt6XoIEeQ0VoYTYuYSJi9fQNaZyjVw9tnPOUgOiyZBCEs+CtyFKHpzmSfdNH++QjyM89JYDC0gadUHvw+c9D36Dt7knSpAkoA7UX4ecwtA+xnSoL2L3hSrPBpXF650CHEO6CRZHtJ2CbrON115GY7PV4jSod95N3Q/7vX0SCtQ7VvCvc8C9C64DnmYBqjxQx44ZepNF9BltukNsFOEIvnqCkn9ukNKIYxOor2JOIxB/UHjugDQhKPKXY1bF4zZoT9fIR4FKvNQSz5u0yTJ4LEuQJPv7uetU1kXvrNfgK7+YkCVOZ7BKUJUiltXkVEqs6U05uMVNSo9DJaMAVHiHqeZbdUWbk+frxCVIg9dgWW3ujvP0AfjHrKeCUB7+moILOf3nYt2ivqAdEJMnvQiq3EuvyDBZjtJAOLfqxeQ9UKu+UeNuxZt6gojesE8IUqn3aG/Sfd69A93LADsQpitui2EXPmcxi6YJ8TMYc3HZcc1HwEQ4hbXfPQImvohb5fhjj1nsCmN1fhCD3zTQy32mwDsPMzWRC2ESrljrxls5rxC95FumtoO+0wHhNNtTeqKl+qga4/1zOcyjy8QDcDMID5fJazxCDal4eZOU523Coiuyl8gJqxhfZUFxNUdARDWHJd2hBCadn5d2jFfPYW9Pl8hSoeWts4Yq8elHRHY6Zit+VoIVWQ0XogDImb6lrGiWxu6SIkENkCY3ZbULIQlHwXuQqz22VssxAFROvfQ5Uwk1h0XdURgp2O25mshVJHReCEOiJmzLuWhbol+8MfACiiz2ZqahrDk63GzQYNH8x32+nyFeAjrpeua7FipZK3yZgOA03Fb8vUQoshprBAnRMx7hkl0a2H1CwCE2W1JzUJo8ofAXYhu6xtaIQ6I0um23IvEWvc5GcsOwE7HbM3XQqgio/FCHBAzJ10/RNxaWL/RbeE1U/NSf8s8qttVoBn17liFA6JcaE2CEOu+j5o7sLMxW7O1ECrHaLwKB8TM9XEHr6Jri2hcBZS4hHUKPYKlHuXtUajFVjfUMpwQDQ8tcv8qoXLRW1HhAoCTcVuytQgix0msCCdEvPSxKF5c6SOwhFcdB4TYbcnMQljuUd4uQ+d39aEMB0Tp9BFcFzAfoQxm72TU1GTNX+UYh1fhgJg2009y6JboFx8MrIASm62JaQjLPKrbVVhNddRYhQOiAZeXLea4Y5X1LFuw0wSA03Fb8vUQqshovBAHRIW47TZc3Tr9NgmFMEAK4bYUwkJoIQ6Be4Draq0ldponRIUoNcaihTtwyUwEdiHM1kJYCFHkNFaIE2LmK7yCy/RV9RgY2ABhdltTu8IruBeBuxCrxd4jFuKAKB36ERA7YFokqoVCOLDTMVvztRCqyGi8EAfEzC08Wiyg0r8YWAFhdltSsxCa/CFwjxtdLbbETvOEaDDnVbTKO1a9dN1GYQOA03Fb8vUQoshprBAnRIW4sbOgb85CEdSWGpgpJbjvkHPUtfXTL2pRfkRI/XrqTyFSmeH9GwJbvdmq3kKoemVx8RFhXlvWUZ3snlzD2n2+8Jqtidmajpp6ULdr0G3NQyvCAVE2q2ljc6Ifme9QBAd2MmZrthpB5RiJF+GAiLfzl+Loxu8DIK4BQuy2ZGYhNPdD3h55etX/r7Pr95WdyYoS7CK4SIAAIbEQvPA+pO/itttuO12JhAz0ZUD00EYzAfz/AT6/q9qL0Ide8NQ1Pqeqznjc43vG3XSv8H5C8lioLPKEuWSR3gO/nwCgcmrseiuFOyqaLMQMKXP7OjqFLbTFIADBnOOQFilSPBu0QmyD7hXeT0jkbBffpu09tnUMtgJMTue9ISFFOEqaKsQEKfP9hXynMN7TEQBnrrFLyxQhfjJohbjP4IVvrWZI5MiiN5RLFuHDWQIAk5Pj0JspwlHSVCEmSJgP3aUBwo78Tu6JE3DmGru0TJHi2aA92bocdNT7Ccljp8vg27RjufiOFgCVU2PXWyncUdFkIWZImbv8rAXDNvklPyYOIJhzHNIiRYpng1aIvkRYFmKCRI4sO0K5+ha5nK0Ak5Pj0JspwlHSVCEmSJil04ZR8iMuvPYU4MQ1dmWRIaWzPSuDNNX47mqGRMzY6UbtGGOqeQEmJsehNjKEnSSpIkyQ8q50q3EDTX7MhXkDCOIch7KVbiMe9uzB4OWMsCjDDMnTum2h0FWezsWTocYqJocutuLdTnFkFWZIaO/zl+6uhuyujledApy4xi4sU4TyyZ1Voa/z3dUMiZz7DOdc0g/CMw8Ak5Pj0JspwlHSVCEmSJkXus9YZVnThvNmAc5c45C20D3Ew+Av3/ezSA7b0U4geXCyeo+gw/pDtutnH7LRxzeZTQ/tjE3ASwB5sjuAeygPmO+6/uyWQ13cVfoqCYiO9i2idXlUjdbsPvzxMQFK1/HwlZOtM9nKYjoKRSO6rey5LWgVhy8ZrhBwDzf17bl9WNwBuDaPDuWau2ziUKhWK1IcvA5K5cOiMiClWHQJXSabuhcqGiVA+A94R0+ZxyG7DYHdgVB3wPvpmcEoAUrFddHlCiCZDYFMgRLD7wkZMbPXyScwA7eCSzdJzRzXAvl1UOw2dG0el8otL1glQKzKHw8xoOPJG8OyakBatei0SjbUqi3DC1YZEKu6Mm9Z1U1Sy6wNwa4DYdiiQ79nL8MMKB1V6FovPI1jWHQGlBx+X8iMGT7oNMahsOuqvBWvSwRXdhsCuwOhzqJT+0GnMQ6ViisjPwfHVH2iMiClHPyuHHwK77b4bhmdgJcAdSrstjRwZI9hsidg6izWlUfmNDoBYvXiulx4glx8+lx4cl34bkwWzObGU80EiM0Np5p7iFNNDMHohlNNRKfVjaeaCVA6rMy2crJ1JltZDL4j2zzV7LL0LlodCxkdeFnbbVHgyj14qkkgtA28pFpusDkWMnngVHMPDzh1c1hUBqSUA6casqE228JTzQS8BIB3tC0DT10fFnsArk5jQ7lnLqMMKBXVpS2Nk7WZrLEYek/YiJndeKqZAFHQ8ZK2y9LAlb8ze0dtHS+kkResbjzV7LYsMATgVJPDIttwqonolLnNU81ui++i1cFTzQ3gRW23xYGLYRyTgnGQwoEX1MgOhgdPNTfAFTpwqslh0R041UR0iZ2nmt0W3wXDDLwEoAucLQ6cDD4sBQG4Qo8O/Z69DDOgdFShdemcrk90Syc5C707bMYM92nSYUAU9BWLZosDF0Ofpp0AQqFFp/4+TTwMCN3GFdrgdLFBUW1wqnlcyXxMPOuYJh4GhHvQxLMOmnh8CPyDJh6PTuVjmngYULqOh6+cbJ3JVhbTUehj4pHld8EqDl8ypIucLQycuX1Y3AG4No8O5Zq7bOJQqBaqyrbQxBPDolpo4vHoEjpNPFufJh4GhL9jfKeJx4fA3mni0dhU3qeJhwGl4rr0xsnaTNZYDL8n/THx2AK8aHZME4+tyVs5Tsx/MvuJ2k66rHpesDqmiceWBoYAmnhiWGSDJh6PTpnjMfH0Nk08DLwE6FguWyA4GXxYCgJwhR4d+j17GWZA6ahCfaGJJ4ZFt9DE49El9jHx2GK8aLhPE0/vdIGzhYKLYZ8mngBCYafLqmcHw32aeGyxYAjY8GSOYdEZkHI6TTxsxgyf08TDgCg4aeLpJ9o92eyJVk+acjwvWCVAiAbXZuCJMvg0GniSDX5HyICa3Ns05TDwEoAucLZEcDL4sPgDcHUeHco9e1llQOk6Hr5ysnUmW1lMR6GPKed+l7/pur9uFYavGHan0g0Hdt2GW2G14a8K875krA+aqrqP0QLsi0bKoQS8fi9gJT6D277A5LDnQNOtEL3v9jVCdxPfvpEn86zrHOvKvO6agFcB4VzXSdZVgzXhrldCH6pzvXDk64deODLah1u+wQS8Cohyebqw43RVPZeTr5vYjEYzYFiX6x1bGQ7gVcAV754w6Aq+5l8UxDAN1+uqv6J9WPUh4FVAnEqWruW5o3StCmZy6nUTe6D/oivD+6pHvGegDO9bFE0Z9p0U7PWZNIX5uunPaB+u+Q4RUIZ71lfT9dPPUKPzYRmu11VsRaMZNHzufEoHUIbPM4qmDOeFp3QMy3C+bvoz2oc7n9JI50APB5ZuY7qt6EzOhucwRKMZMDxWu8y9Z+BVwIqf4aE7eOeHKoZpuF5X/RXtwyXfIQLSsHSS4JSW1QbgExTDNAyvq9iKRjNoeO98SgdQhmUpvTqldW3fOqVjWIbzddOf0T7sfEojnQNZX0u34CkdwzJcr5vYlfwn3S9agrjLM5bSsJSdpg99avABSXdq2I9GA7oB+9Go7EgtG1cAIO0+63EFtMkDTeNbZdmkZyiNrWBy4MfHAxLy49Tf/1XYcchze5A4ACBPKARGlrLANq2tIsvpHFSOGZKOx2I/Hc1c8myo5XK2AlJRQqE6s4SvZKpyzJCSr/orQAhr+itFSOwAkgeUAj1LWWCb3jk8PazKMUHaQbymXDdx25EtgVIUUKqOLOkrmKAcE6Tkh/4sEMK6/mYOEjsA5AmFwMiSFiabVo77BL4uLscEiaJhPyOtXGOXRbSALYFSFFCqjizpK5igHBOk5HJpgSjpYjbMGwBwJ5T6LEkZYJPWpZIf9zQqxgxpF/Kk0C57mjYsfQEpKKEQnVnCVjJVMWZIybv+ShDCNv35HCR2AMgTCoGRJS1MNq0c8teNlcsxQaJI/ujRMJfupwRkMS49jqTkSJGmggZqMUHatDz1F50VJn0jvB4lANwJhbzIUvrZo9XiPncPnlRmSBTJT5WoruP0XMGWQCkKKFVHlvQVTFCOCVLyVX8uCGH26BgkdgDJA0qBnqUssE1vdF501PsJSceq2S9NA7qBRsUHIBQV5Kori/sqpizHA9JO6yFLk2KYfGPExAEAeUIhMLKkhcmmlePOcAwuxwSJovu2daFy9MNzBVsCpSigVB1Z0lcwQTkmSMntObEKuxMuFyYOAMgTSoGepSywTW+ZDv3VJJZjgrR1qts2Q65xTcVPoBQFlKojS/oKJijHBCl5l2f2MWz74rw2RmpHUp2nKP3s0fpv99nLZ8aESEusbV5mz9Ra90zOVUDKSSgUZ5awFERViAnRTuulPyOsoPs7XVsxbQBAnVDIiyxlgDxaJe4Td2tcignSxuvAyHt8epWDK4HSE1Bq9iRpKnigFBOk1PHtPsOarCGPeR1A7oBSX9w2pAM26W3Z08OqGBMkis7mhY5c5+q5gi2BUhRQqo4s6SuYoBwTpI3aQfct2vnd8MqcAJAnFAIjS1qYbFpjr210+/F+QtJta51zrfcd84UnYgGpKKFQnVnCVzJVOWboZW1gvG/RRvA4MHEAQJ5QClzonuRh01u6Q/e6wXJMkLZ1L78FiVz3/TQVv4BSFFCqjizpK5igHBP0sibxPigsvt1n4rhpKPKEQmBkSQuTTSvH2ej24/2ERNG5ea0j19nphhmAUhRQqo4s6SuYoBwT9LJGMn6d11bywGtSAkCeUAgcfGvxsOmN4X26Z3tA2iAeukVR5traqVsEJVsBqSihUJ1ZwlcyVTlm6BXtZoxa6Z6tAORe6Z4tk5SB/XHPtsu+sZ1rwYio2ZvXOTLtK90sA1ByAkrJkSVNORFUghFtKJ+6IxAE7X7TEmkDAOqEQl5kSQPs0Spxn8rLyqWYIO0v71Oqc+DtWo1LjiOpOFKkp6CBSkyQMjdZEB7D5M96lNgB5A4o5XmW0s8evfk8PCxrMUPaEb50RdzM1dfmuZytgFSUUKjOLOErmaocM/SydjbesmhL+TwosQNAnlAIjCxpYbJp5ZDuAM8nMySKpIOB06vsRkPFL6AUBZSqI0v6CiYoxwR5b/zAS0bv8cU+EgcA5AmFwMhSFtimN64POur9hLR5PfjWr8vmLHi7VkApCihVR5b0FUxQjglS8k63LDew6TrVkNgBJA8oBXa6I3nY9BZ31/VqpZl7nJc1uRl6ISSrne3WPxansiDJslsne9Tr8lf+dTE9ngWAW5f04bUZLtfU+6RZouHN0Ot/gZys3dXVZrZ/yS4g5BrgzXD9JuhpbsC/u+/7fVe7fXvYtvKsm9VMdsDcrb00QS+EzvsEEGtrtzde9ujUNo5sDtcL0AJddjHLY+SX9CtmScCYJGiCXgjJh1E6KJFYemjbDuQOKLkLrGPCQmZhm1QO6fce28ByBPRCSBa0uqochyxotYOiAKAcdYz7qiwJGBOUA8kDarIn3VrlkLbw0g4gdwDKAce4hcrCNrkc0g1eTyqHQ1gO2Zl226AcuywHj+VwAMuRx4SvzJKAMWE5gDyhTa8UkPi+OC4DyQ3ActQxYSGzsE0ux30d7AuXwyEsxyWbBHYox6V/qS5BNsZixBFhKlME4DRYC2BO6P5GZUye9z7Hrwtr4QDWoo4JS5mFPVItpI28XRfWIqAXQocsc5dksgrospYeH0Mp8gj3lBlybCRQCeRNqH1d5/gGaZevoRfnZDYAKgHHhPrMwg65Evt53010qoRDWIljuee8HUohe0kuDRQ5gMXIY8JXZgnAmbAcQJ7Q/R7b5doT33PVfuAb4QCWo44JV5mFbf7yR0J3mcFkUqLiuRT9U4/pl40dB1qyp0IP30VY9wF+z4A3wmvbYW1x15bSNdS/i3sLXAH5Nca3it4sOrLr8MfHBGjr27ctjoCD0sUw6QJwORF9Md1ldN7uPtAwA9bqrgzngpu/1zD4EzB9Hrt57AZWfnxMwMt61CsGLJhqYaIFZdB7wha8jY27sb9nwFvYaLTj9u41TP4AXF1Eu/LInlYJsKY1Hu6CI5kPkywAF7OhUDLiTWq2Otjo6LBRuLadMXcMkzsA1xbRrnywzcEmxwJnsz9PW6limFQBhBTcWJ5sZPuZPqsMWOu54q/lwlM3h8GegKnz2M1jD/6cMuCN5o4BGyfbZrKNxdB7wka8ubzAEe8Z8MYy2u1QSh8ke4e3IeNceeRNqwRYHxkO3w78HOQwqQJwIRtJRAveN975c8qAtm0PKtU4KX8Mkz8A1xfRrj6yp1kCvEuMdkfDT0MOi67hpymjL6ZLw/uy8IQzAS9r8FbQPcQJp4auoABVWNGbRS884UyA9oFxwvFnaitdDJMuAJez4IQzmfHeL084E6Ct1w5B93AQQx+Tgj5IYUS7/s6TzgR4pxcr1BdMtjDVgkL4fenzpGMNTrI6eNKx9izkOHHSqWHynzjpVLQrHzzpTIDS0eE46dQwyQZOOhF7MVWZbY2s4vBl3df61N5DnHRqGNwJmLaM3jyabOLQW7Rgsy046dQwqRacdCr6Qiqw2Xc+fRnQtiicvK3jpFPDZA/A1XU4dTNzGiVAqbgufeNk20y2sRh+T8iImT150pmAlzVP0e6JpTy50Ce+DSdeVitvWj150pE2KBw+cNKpYVINnHQi9mKqsrk2nnQm4GVNUSjV2nDSqWHwJ2D6MnrzaJ50JkDpqDprw0mnhkWHk05FX0wHhvs06TAgCna6uK07TTo5TAU7TToZ7fr7NOkw8LKG6YEBNOnkMOk6TToZfTEdGD6nSYeBlzU2sWgnFvTkcp/4Zpw03WTetHpO0420KLE254LJFiZaUAS/I+djupHeI53GDGibkS5u20rTTQ6DPwFTl9GmPLOHVQaUjg6n6SaHSdZouvHYi6nA7M5Wdza606Vt22m6yWFy7zTdZLQr39nmziY7V6XTdJPDpOo03WT0hVRg85ymGwa0TQin7XbSdJPDZA/A1Z1w6mbmNHpO0420DrEuJ6WaiEgGvxvnY6Lp6zTRMPCyNiIUqq9QRB8Etw9NV8ZtHjdNNAxonxFqYs/QVrI2TTQJuJB2osTHRNP3aaJhQHuKNNH0feCJm8PkD8D17TTRZPY0u08TjbT70O7eOF2b6RrLoYmGzXjncJpoGBAFF13W+kUTTQ5TwUUTTUa7/nOaaBh4WesQK3TSRJPDpDtposnoi+nKsP79MgPeM6B/tYUK+kDpYqBSfuSBqx/o04w8NChDL4MO9WAElGaB6IZliNfCpA8Pz9zQMcuHZ6ma/C3/HPUsVQAvAIb5iuFu7PZdQZ5P89aJfVs45CvhiOddYTgg+sfHBOjTroclPPRNzNdPTndGqfZFNiFsJOZazC5ZMbv6pFY79OkqtUvAC4DmdvWSfujDWvEsVwzzWS543Sgz2odVHQSgunuU09NFsZ1uxLsbcvz1EOvRZIYMt/jMMgCGm58jztD8DHIFNgTD+brpz2gfXvH+EgCG16iQpVtXorMhGI7XXWxEkxk0vOsTkmDYgRcA/vkxhv30T5cp8GEZrtc3OzyifZifPwJeAETBPN3l8U5XBXM5F76lGU1myPC+xCeYADCsD82WYflLCyiwIRjO101/Rttwz4sVAWB43/CUlv/gE+RDMByvh/qN/AcdGNannNGwAWC4dS+5MehD06XAhmA4Xzf9Ge3Dwac00AVwukNLty54SvsQDMfrIfYk/0FXhmVdiI6GHXgB0PCU7uNEBT4sw/W66q9oH675DiHwAqDjKS3zKXyCfFiG8/UQ29F/0v3C5107r2r9eyDpu/WdFgHvspAuLpiNgO7SIN23gvRXsZhlld10kUmBHx8PSMnb10VRyxenjXExL18sruHmMg+H+sf2MQbtGvR+QiLmXCj0BhqtE45A6inIJVcW91RMWYkJ0m5rbngTYT3WaPbEBSR5QS6wsriFyaa1zRovcP1+QtLTahstBn4DnfbtQSAUAWSqIYv5AqYoxwxpg/SKxZs9zB8prsQFJHlBLrCyhAW2aeW4z13cR+j9hERRPyn0Bi5aNxyBVFSQq64s7quYshwTpOS5GHeErbEodSROoMgTCoG8pPfDppXjXGg3ofcTEkVnm3LdF6mxIVsBqaggV11Z3FcxZTkmSNutQ3+cX2HjiO1iPHEBSV6QC6wsYYFtWqOubbSn0PsJSffs/s7XMNclJFh8AEIRQKYaspgvYIpyzJCS50Y4EbbE/jGROIEiX2iPGcwSFtimt2dPOur9hLRFe+njG5Xr/tZ/HchWQCoqyFVXFvdVTFmOCVLyPXaSibDYKyfyxjipE3F1lcL1Tx6tFmfsUJOlYETE3FN5o0z399ONuApIOQW54srilpIoC8GIUi+xk4wHjdwbx9MWkNSD98/BLGGAPFoDUP7wTxPsA9IGL29tcwPXF+7YhIALQkhFYxa1hUxejAek5N1Xy8+wNTYGisQJFHlCITCzhAW26a3fi/Ycej8hUXTfkq+Ua98il7MVkIoKctWVxX0VU5ZjgrQZfMamMhGW2+R44gKSvPNWOpjFLUw2rRynPQqA5ZggUST3cRvmOs+otbMVkIoKctWVxX0VU5ZjgpQ8t8uJsEV/wQeJEyjyhELgShvUPGx6A3lEWJRjhqQPeN8DrTAZ3UCLXMYGQCgCyFRDFvMFTFGOGdIudn6/j7BdH6ioxAUkeUEusLK4hcmmlUNXYONyTJAo2juF3sChD1QUWwGpqCBXXVncVzFlOSZIyfk7fT5YXIkLSPKCQiDfXzxseit6THdtD0jb0Wfcdniua6G7NgRSUUGuurK4r2LKckyQkvcvOjnO/I4feRNI7pM33oEkbmAyae3MdaF7kPcTkk6j/AUMC7vK+lwwxyIQggAy0ZDFbAFTFGOGtIV9xb4zHubPFVfiApK8IBdYWcIC27Ry7Pt04/aAtKV9TLn28YWflBqnnkRccqVwU0WTtZigl3XHx0Zhje7aECjuRndtmCX074+7tn29z92dJ5UZEkX3KX/hHLteK90yI5CKCnLVlcV9FVOWY4K0Az70kWoI6/QNF4EkL8gFVha3MNm0/um60S5F7yckjc11/9qxtNt60F0bAqEIIFMNWcwXMEU5ZuhlXfaBF1/ps+94PQIgyQsKgZklLLBN75ofdAPyfkLaPT/1ofLKdSx0y4xAKirIVVcW91VMWY4JelkvfhsUtvI3XQCSvCAXWFncwmTTynE1fVobyzFBoug+7/Em5wZ61NrZCkhFBbnqyuK+iinLMUHW3tenqCvMni6uvDlO6kRcXaUI/ezRW/A7HfV+QtqGv6/QWIu+npHL2AAIQQCZZshipoApajFDSr7R7csN6M5imDiBIk8oBG50a/Kw6a36K8KyHBMkio72hR+6fqyRyskKSEEFuehM4q6KJ4sxQf5LgXOlsF0fwKm8BSR3Qa6vsriDyaQV49rofu/9hLSVf0yVLkAFIKASf1BQk7/63MAety73BaXbbwBcswL+KwCElHzRR3wqjz9ZXPWpI7IcBR1fzX9PQDcTs016PKsdF7X5AXoRFK31BO7bn8O7+EOBTW5HtBevHRWB7numXk/8AmBbS3qSHx8zok/76qPGN7ILIxxx1u8BrgJ+1LPH+hMCewA1xV3ybfhh0Urhj4G149AGw/sJvQha/KcO9rBYk2c1tYflT2gFAA+LwTEhILMkoEw/Ph4QvQ9H/1rh0dobOL5GQ3ID4DG5OqYseJbJ5lQOueRxNRShYsjzhxcW474QHSfqMYCKkceEq8ySgBBRLZI6kU2/RkParX2NFakNoFLEMWkgsrBHrsR+n5Ubl8KhF0HSryouecIbTwsbYyHyCLeUGXKsJFgH4C3o/s62fsO0Q3ojyKwAFiKPKfWeZXI4VWLXrsf7CVEldm2FANt9zaaz1AEqRh4TvjJLAspE5SjyhA5dnxcS35PV1ZHcACpHHJMWIstkcyqHfF3uXA6DqBzyNXbDcsiTs3imOkDlyGPCV2ZJQJmoHEVe0P3h37Ectwp8Hj4AKkccUxY8y2STyyFz0b5TORzCcsisZmsPOJu0yOl8dQDLUce4r8oSgDFhOYC8oFXuwSDxfZo3/Jg6gOXIY8qVZ5ls/n8e9fWHeCMnPOrbZLv609cytweC4yh71Pf/+JXAeukZ81Nrq35beNdqXAFZnvvd1Z+zyjp2p//sWn/r0Fr8Hs6PWK7OgIe8buO/+4eP//poi9L7fz/e337788c//us9lGbxerZvP//uQ0SvfbMDv/X7u836rclWs3ein98f//b5d9/vibzft4NjfP7Z91V+E9euz199l3VuznP7/JPvP22yHtG4Pn8t4H5d1+effj/vGXXZ+ufffN9kZZC93a/+tMoqt/v1+Zf3y9dx3Xn+KkP+/Pv9/Wrd1s+//v6TvNoizXW1/vlHwnzPD9t93P0da7mZx00tn4S2tVuYiOjnkBi5Wuzn+vnv/12ZfvX9P37+54+fdAkr/ZvDcn5tx7ef//N2+Bci8Vh6aFjJVGK/thT317blfkE+dnfu+5ul5vjb7z/JH13P0T7/+LvePB57OFnP6/M3Zv46x+cfqpVlOT7/QEvb2zLOm1Gy3+XfNv22eiff71saFyhP1vSzff69HvVPP3/8y/3vfwCJkUmrDQplbmRzdHJlYW0KZW5kb2JqCjE1MCAwIG9iago8PAovTGVuZ3RoIDM2NTk4Ci9UeXBlIC9YT2JqZWN0Ci9TdWJ0eXBlIC9Gb3JtCi9Gb3JtVHlwZSAxCi9QVEVYLkZpbGVOYW1lICguL2ZpZ3VyZXMvcmlnaHQtb2YtcG9ydGFiaWxpdHkucGRmKQovUFRFWC5QYWdlTnVtYmVyIDEKL1BURVguSW5mb0RpY3QgMjQ0IDAgUgovQkJveCBbMCAwIDY5MyA1MDRdCi9SZXNvdXJjZXMgPDwKL1Byb2NTZXQgWy9QREYgL1RleHRdCi9FeHRHU3RhdGUgPDwKL1I3IDI0NSAwIFIKPj4KL0ZvbnQgPDwKL1I4IDI0NiAwIFIKL1IxMCAyNDcgMCBSCj4+Cj4+Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeJzMvUvPJjlzHQjr7rIgy7eRZmZTyyoD/Tp5J7cGjAG0s907y6syZGHwlAHJC//9YTBuJ/iU3N2yYMzX+FBvnEzGiRPJh5EXJvNvPj8f6fND/8m/375/+jf/YXz+r//90/h4Zp2f/8en9Pkv9v//309nt8//4f/59Def08fztJoP8NPzsVZtU5uXvu05Pv9U02ofK33+/qnPMT9KdujlUHue9DHnhqzhDyBv+Nef/uPnf//bQ/iHc17zx+q9fP4pPR81l4H6FAJ9+VkbXBuyhj+AvOHfM4R/OOdlfZQ50/Y0Uv/oC/UpBPpKa/2jVsqnNvwB5A3/niH8Azr/39E/02f672//66fe80dZ83NNo3ykTmSKrFE/Bh2VMj7SWvlHiLR6vfl5ffqrf/0LQnubHzPPIFSh36rqzZcK5UFhC/2bT4n/ln++ff/8b3/eY8n8nPPHLKN//vmvaO/teqxcd6/cO+X50fqzdZb2Ubaqn79/+k9f/tHXn9pHSr2kL7/zdffd3TZ/+d2v1I37kxD8va//+ee/+PRTyh8999M9P0rbSfr5v2w3v88t0ixf/oA81t1kffnDr7l/pJbalz/a27eUksaXf/x15y5vxlW+/OV/+0pwa2Vzkvt/9/On/18MCdaldpQflDTKQh/5/DgYyc9Y3Dlq4Q70jmir15ufX9GlykofuyaATkV+q6bb0z9QfyKxW1LZhK17fzodZg7pOqtW6k+7y+3xg0Dqbi3X3Z+ox+yf2pd/Qj3i2X/O1r/8sXefv/xb/1tcrFS+/Ml2UZ9SE+77T8nbGC3TX/1jJ7VqT2uzzd3oV3av/y0jMoxY0pnGHg8Wj1iMlEbjUmcv+6fYf4Boq9ebn18zYvWddDqWIFSh36rqzdc/2IjV55P2v+Oj7rH69LA/pYO+f2plfPlnNr7886/7F/Ax1sDu8S9O92h1D0oyeO3uQJvKGb0quT6j1788o1NfSTvtGBn8wHD4r351N7pH+u+/ssr9plMS/dV//5Xj3W86H9Aj/v1X9nZ2vraQPfbt2tka12BHHum/gJwavJ6H/i4fbXyea5yerPa3T3N1qca6R7WW8vfxS3tW432ptRvTfk2jmtxOWdj+9oljYAs0nNa3pm9bq2G7J1JUoPPJjZAXIuc84nA8+fxCLQKxQaft0UJrsJtmphr/Sy3Ji/oaLbKxLXrFAi016BffqLesRQMt6N1DfOYzKUAStSOOXfgWR79PavYPTm3X63u00BrszMfIEY7hhYjkSH2uyseddavNutUCTXJ8osao+1mxP5fZU+zPZWr/eejvwSpEt9ig2/ZoobXb7B91P0v7tiJnuALdKbMPzXbK3r/Vck3c+tYYdM88Yv/eo+P8KOF4jzG0f++/a4hAbNBte7TQGuzJx8ozwTG8EJnYz7e9uJ9rttkW3WKBpvA7V/+sO0uUtWo/F6RvMunnhjTr5117oEQgNui2PUSDtAa7X/1cYnghMkI/H3Xy8dds1wn9XCzQJMcpagy66VRC+rkiqWk/NyT2o55S6Otio/YUf9Nd+6nZ7errEscLkRr6+j5jDD1N7G/eLwUBbTXkQzi+fdrnHruIZboD83z+i1+okCeAmuj6bPfcSdd6AO2u1toJ26Gd9cJa67msy3QttIGdAyrQCpD6naZ9Lu37zP2LnOgFgMO0GznE8bwCtPap2eaiX/rhmvtiIJAzIKnnAHUfFypeLuXUcxx8toPzkwFo97iYjae2j2dBNp59tbRPfTwgATAbto+qMC8OEBEmQ6J5BWifcFGPMb+776TAzQAmw/ZxmeLl0n0lY/fwFvpGWbv75ZCNDZV9seLZ2MA+1aTUF7qqcgCy4fuIePfiwGGiRpYgjucVoMr90NKxz94T9g0BQjp0HxcqXi7lIR27yO9fWOgb+/wx78uzkI65+9mAzlHozLMtSIcAmA7bR9WbFwOYCdKh8bwClPb1xmfIc6ncyexYMADp8H1cqHi5lMd0zD0y1xzSMXY/Wz2kY1/QfAzsHWP/VSpEJACmw/ZRXebFgamnnJYhjucVoMW9zPLcno+J5AJgOmwfFypeLuWcjv2bLXS9Ofp2wL3DoN3PFvcOh/bvLGE6UvnIeIAECOnQfUy9enHgMGE6JJ5XgHYY2DtGn9zLjJwBTIft40LFy6U8pqPPQr8xTEff/WyOkI5e8r68hdT23fVyg4gEwHTYPqrLvDhwmDAdEs8rQJV7mTmenXuZkTPwDfqz7eNCxcul/JtcTfaPvvsKPxb5paJs9UyL8inz+7dp0OI7TqfA9Y/cEeA7rfvcwaD87NMzOVk6XnKqMDSSReVm966k9txnthPamm3uHeEIvL3E+Kbj26+4Zp/j+Xhmo/zRNfLpOHoY7Pp8pe0vd9vp9dbs77z7eeqJ3IIUZD5yaprqs8e3HwDS5vXm5dyc+sU7Q9vcv9xWdlp//qtPpD4/LJguaz4mn/bvwVdvDP2jrz/RsFZbpruMeae5nFs3+wowV7oFRPp37/7y+1/3fiPPRveq93lNWr1/+UPa3MZYdK867343UmWwP31I6329THcV6c9W1rl9LY1+l25F9dwS3c3cf+4jlb/88ddK8ZV5bmU++3feWts77EajtPXlT77uw7N7eB1yg+rcWLLsZzo+9XPe6aOf2E4+XeKrSXnNbu6r5J0PCseMysa3T8ecna7122lH5mLzOFlpsUEEanzTABR4baAikOceOau5UlOIqP0BNJCXARKmuFMJl95v1E2obtc9APzP+/8+lvschO5+0cgruRr7nCg5RLr3T5m6u0Jb+x6P6L7WFpT3KZ0Du2pVTp0gFNserTjtDO1LrF3rqJX43ancHYu6pXAr8M0jVIiSkc85rEF5X8V8ZHBsgJKTH4EkwhcgIsL8qsy37Nyj6y/cECx7SKQxq+S8BzG6IbhH8/mRh0Mvh+o+3aEwXt7wB5A3vG4Ul3128rHHin1ON/hA7hEMgJcD51HKAaTJDVi/K2XGjqiAN9kn8dGHAk4rTS5gn+6a00P7BniTX37ms0fij3VOpHaeypFPd/2TIS9Axq5Mk4m02Q8g7Sgb2Rcy9YcINNsVfuYfQx6BtntD6i4k41z/WgA/gKyd3JD++5SAdG5d7hrZaLA5FeCfft2jeR1t7DGWxuCx0h5YaYzNs1cdozs/l6wtFRqs6WnoHPnLn36l/dIzZYB+eqYBnh967qJdFz1To6eV/tBz7VbbVem7QnBVSYuqBjltaReDP+ICst37Zik6c3Te3MasELAWlQ3+My4atbfdfP+Vx65fWsh2/fh9iy63ffl3oqNCe6L7nfP0qzzU+p9LaRwV3bujf+FEQbym6V+emncakWiMwMKS3XNuX/7V2X3tiwEtfLuL17SVn3q4y93/cYrkyH2K8vaUL3/2oyLYdso+drkih53ObPrTdkoNeG1gItBTSmTWFMyRpCgJkMojd60NKOcWlbhLNMocs6H5TQNS4LWBjkDb5z/HZHdmPnIjVgAN6GWABCzuVM6l/zcUxe2o75Y/zT3U7sNyUkeVpjlEydu1YcBeu7PODzr/nZUOSwFg7CN2LlUM2qoWX5UAVGj2wmdznEqnB8SfjVyBbxahIpQLeiTWHWppjwBUzNQvAMxNbgTSCF8AiQpzrDrv7Py2mtgaPZM4WaIfFj2Ba31f+qbp0MuhRXf6ubNowx9A3vCqia3vANeT5BfQ2qKyosBLgX3yJnXmNLhN73Cd7kj8AIAGrVwODwCU3OQdyM0ACvoybfdfrIRbU6InyftkqPPz030hc25CKvJyZG79/dy+sGY/grx79H2GRSPmjyBvuEPmc793yGPQdj9A9gjwpIQh/AjSdn//WthyoSEm0SWfXAz9q1NkdvqnXW98+XMe5fcV0q4sZyTO5xqGL3fy3MM81a19JSvVquzLHRzrF7HuKxhqcypcJ5R6Ri4puif2fRHctYRSkZ10EhFq1P95QtumFspWgfoP3MvvbLDvnzAUcS49qxe6eCIJdY/AehnXscmfux+YBrLJ9ln75z1qy3NqBbpNqjDgXLZSdGRoWThng2J+07Lk2/sDLdmQB71sNn1OreapD+qmtYQ0Yh6ailtFgrZFRTSimYTS+c68AVOu1h0451Micp7nRCZyygN2E6nbjy5tyYY8URKzdKVhUzPJbkoJNKUYTcWtIkHboiIUOdLkmxQG9M73GxyYkig6ke9LFPN5fV96eDg6206RW0s2Oj9kEzNNpWFTk8duUhVOpkmWoFZxq0gYqFk8o0i62gvddV8oxu5Kt2Ctu87Yjyb0oxOdbe8PtDwG+1WRwmsi18TuSreYgUZME2lbWZW1RUVB5Myxu9I99NBdaSC17rqsaxx2MV2kbe8PtGTjwe4KNEfzzNF8sPdOnu1nqR0Le69vFUUP9l7xjJrtFpsA5zEK9t7zoEV77zYa9F41TbNv7w+0ZCNj77WbcmoW7L2rJ/yRiKkifatICL9Y8Qwiz1M67L37IruE3nserhUTGbqVmiBStx9d2pKNAr1XeV9mVui95+ki0tQCvRe2igT8xarn3/gIeZc8qpV0e3bUXXI/I9RzoudZrwBVuqHUaWpQObdw94nVOVvPdHHtwDc/yYd9xkcpwYsBiR+mOSTxvAKU6Z68O27joftJTi7A8SMB+j4mVL1E5dw9TOg+BG2GdIxdRGcL6djXp3SG5WzjGXQ33SMSANPh+4gu92LAYcJ0SDyvAFWKAvLcMv8K7FgwgOnwfUyoeonKYzrGvujpJaZj7vPF2DvGXB8Fs7EeegAL2WAgZMP2UfHqxOzDg8mQaF4BGvQ0D/zuE8MncDOAyfB9TKZ6ibpjMmbWmZQO7bK8SkgGXdYU7Btzd7yGh0cAzIbvI7rciwLMhOmQeDAdMy161guO6a5oIGcA0+H7qATzEpXHdKynUESYjrV7WYp9Y+3T87IgHWufHU48QAJgOnwf0eVeDDhMmA4kV4hDjFCSfqdc+2qpYDjHxvzYHiZcXcRMXOmh09KB6aHZvB859JYN0QW/p2cD9HDH41EA0gP7sCjwYsBhCunheEIu6GS5Yy5miV1VgJAN28eEqpeoPKSjPvtsVm8CCZRS/8gzpCPtrtiht2xgnwRDNtjGZNgeIt1dGHBoIBcazCtAXbqcJrm3j47H4diQCd/DJKqLqPm3P0zGymblmW6zOrIv8tt56FPapn0WAvR8gg++QbXR4O5O6BZ+xQrKALXZlz0Fd6npowcfBvCTXWpjkMaiTjTYS8+veajc6dSmnxe16A85R9F+oG8mtbUWjU221+u94dtz5VZ2wPRAuDV+60GBsfSKjSaF9h8A0uR1+/hff6i8HdJbMoWeyJf4TDmvKs+UV5r6ULnl/HYn/NyO+AO+5T12b4P7EX/k90z4+UN+BrT/x35HXO6k19W+/Bnexf+/vu7T7Vn62H/RFVR+lj1YprsucJ/Daf9s77qr28rxhonS/qHf/bGH5n/+g9vw9Lrc53aedZw3IOnG2TTgpUCnOYnnjmHdJ1O3mfc5Id9PPO4u0539tQClyjPAd+9v/NFDaP/69ffM66LT+fX5p7apcmHuds6UDHo5RHNn1hnUa6f73/WHUN4nF7mmE5a4/wHk7n/VKyDWbA8TfWKcEMEPQn+nu129ft2bO/+zn9K+DNoXUjTF157N/d/WD71v/gn9VWtfeAdPH1CdW3j4CGtfd6XGLw3C3Ufr0/787oBt1triz087ut+yxF8q/D7fnoHRT1WegbVU/467o/ajOfMr6j6/599KMGn6QKMb5Qpsk54+1ZZkOoaY/NOgCQgM0Exu3v20PledlSd6qCETPdQ8Ez3oVwI719NWXbEJVAJoKNzaAgUZVFL3eUb+iEIDQPwThfLjcvMuprMzYNFNlMmeQWgADlXMCz+KN2dsApkAFkw8JkEIiT3TXiuIvYAXARMa1f1zMP9iKDubEpu2k8jVr0m9gEPUjjZrUNFZDUSpQhDczgIMAlhkS2ePcjx/vwHi3n92Ayo95JvAIKbzM2DRcWuLnL2D1AAQXY25qQN+C2oCnQAaDrf2YFEMC54V9vh+AxTBHNBom/MDUyqmR8CARcitLX72DoIDcOhihnZHDO7yTZdjOPHoBDFHMJ2tdxQcgR1Byg8mLeUCPxQzLQIBNEJprfGLdxccAaJLIUP7YgGcpXB02dRAUjguUQZLbTyaudQAEHdrmK5dM8B/Cx35mBYXt7OY2S+IDMAhQont+QjOno+L6vkIgaDMIIFlztCB0STm9UCDbWKxMdO5FxYbbW2Rz9B50SSq2cOhn1hs1ASqicVGW1ug8+q4Oef4S40Ave6aQWjODbutmsYugEZ32mrk4tmFRuBQhbzktIKztC6ytGIw4ZhEISyWb0SD2ABQBC0MbblDsWHD2TsUG2lnkber2ETgEIVik/mut7vLsfMqoKFwawszyGCp6yo5EaAIVhjU8golR02PYIWSI60t/nWVnAgQ3YwZmqHkiAl0M5Qcae3BvpWckq+SEwFaPCKHoa3kUHLUtAgE0AiltcYv3l1wBA5dyFDJCTuzmEiXsDNLaw/2reTss+NYciJAEfRQckoPJUdNj6CHkiOtLf52lZwIEF2LGWpwfI8BVA2OrbSzMNtbydnnyPF3GwHiXqHklNWxM6vp/AxYdCsUHvEOUtdVeMpCoeuJzp6b7InBoNj1VnjoWRdIRXMz1xIGuVpC4VHTuAXQ2KS1Rn58u0w0iSqHrNQcCo+YQJVD4ZHWFmi+um/tKXbfCBB/R6E9FB41nb2HwnPaWuTsGYQG4FDFvLRQeMQEsrZiMPGYBCEsdl2FJwIUwQoDXHug8ByjLpm9L6bGtsKwKn5B6roKT12h8NQVCo+aRiaASV2h8EQZR2orV+GJwIuAjOmi20nAICbILaHwSGuNX7y74AgQXQ4ZajkUHjWdLofCI6092LfC0/pVeCJAEfQwwLUeCo+YEEEPhUdaW/z9KjwROHSh8LQeCo+aQBcKj7T2YN8KD82KDL/cCNAduicUHnoLChjE9AgUkAiltcW/rsITARK8YoYWHt8Vj+7CY7vicVlvhYfmSoXOHAGSWsIwR9OnoDOLCVJLKDzSWiMX7y41Aocu4+5PdPbcZE8MJmOg5e7IvYdujOa56xoGuT5C4RETuEcoPNLaIu+hC6NJVD1mpYfCo6ZT9VB4pLUF2q/uS0s5he4bAbmnbu3HEwqPmM6ugER32mrk4tmFRuBQxbwsPJ4rHs01MYxwNKKE3zhpxl682j/2j1nP2zE3dF7PWh/JkTOpi54w0qVznmDTTeB8bgYqsrthorcLxUM962z5W2EKwGthCh3e9tFyaFb4nRj3q4BTG6TRqRcL/1LIt173WHgem0ImLogi6vnytXvgSshmgEdkkEatXkyXMkE6Lujc5p4fq2KzNvjZoTk2wMkN0gDVi0uIMjkdNFG9xXRcEEW0huRafe1zkhK6hgEekUEatXoxXcoE6bigQ15otQ5slvkxtjtWAMgVsgDFi0uIMvmu5u6/3GyPMIXva14Q3WrcpwjclKENZMk1swGgEQHEUbsX0eVMlo43iMjzWUMDm7Xzuog7NsDJDdIA1YtJuGRyOnYH5maejguiiPhFfPBFs3w7shngERmkUasX06VMkI4LOuRnIh42o7UTg2MFgFwhC1C8uIQok9OxO3BZMR0XRBGtGX2lPZJzroXNAYvIIY1avZguZYJ0XNAhDz1qd/qZglcFPBcGaS5W6NqXQL5zelah9SwEm25onlMPyAA9H8R8O+AZMEhiVScqhklcfbDP7ffFcyesQT7rZYBHA5zVII1MvXjs+Va/e2q9EnBBFE4fkld1RK/cYKId8HAM0pDVi4lSJkjEBR3yM4sKmyVaXQQdKwDkClmA4sUlRJl8H5Je2qkhHTdENwfpXWv0lZ8cM++AReSQRG1eVJcxeTpu6NzLH2eWj6eDrmobpsMAT4dBmg714hKiTE7H7ra1xXRcEKVj9/ZZ0VcZ4kvTYYCnwyBNh3qxdCgTpOOCDnmmaZPQLJ8XAsGxAU5ukAUoXlxClMnp2Je6z4jpuCCKiC4egq+RJNfKZoBHZJBGrV5MlzJBOi6IyOlyYoZmlVb9BMcGOLlBGqB6MQmXTL7PuTtwjSXkhujm475cnlhRy74EeTD5DlhEDknU5kV1GZOn44YOOa05gOnY/T5kQ21PhiIWnbjw+KNGzsW+Uk4xFRGhYHaXj55oCV88k3HAM2GQZkK9WCaECBIRkUNdaLUjbKQXBeZWAaBWyMITLy4gaORM0HyuKxUXRAHRa6fBFS2yjlxqeziKaMTqwjQpDWTigs5jBll43pr1s6QeODbAuQ3S8NSLxx818o3Up0ozy8UN0T3Op0uexVd9hvgSNgcsIockavOiuozJ03FDh3yfudfQ7JGLC3OsAJArZAGKF5cQZXI6ypBmno4LOs8MllxcqK+aYvId8IgM0qjVi+lSJkjHBR3yTjP+sdl5jRIdK+DkBmmA6sUkXDI5HfQuTLxAuyGKiObqBl+jSa6VzYD88SS+D26QRq1eTJcyQTou6JA/8QKt7n7fcDhywMkNsgCfeIF2y+Qbtc95lxPTcUN093T3++Cr0eq12BcdsIgckqjNi+oyJk/HDR3yGi5SNlDOpElwrICTG6QBqheTcMnkdNRHmnk6Logiqllyrb5qEV/KZoBHZJBGrV5MlzJBOi7oPBoJuaDXH3BEcsCZDdLoYiIugZwIWiwtFpQbolgGnnI1WjwYu6ADHotBGu/A8y3jgBRc0KHN4XplA7wOE3hVAJgVsuhyuBZ5E8h3vJ8pzSwRN0S3o88nOMAXLbqLqTDb4jFEQjYXKspoPBc3dJ6j7FP6Epq1eKHmgHMbpOGpF4v/0si52D12xgu1G6KIagtNN9DjhZoDHpFBGrV6MV3KBOm4oEP+hIuV2ndJyjgKOeDkBlmAT7gQeZPJ6Rg9XL98f4dgKrr7GrSEHrIZ4BEZpFGrF9OlTJCOCzrk+5S+h2b5o4/gWAEgV8gCFC8uIcr87a/5VHoJ8wyHmRbLSJw8zRSH8oK9NmE6a8YSzXnFAJ7OoHleQMAnztsMT2vF9IcmCgzdnZ+GN93djW+fgnmo+GGN7Rwe1agJVA8+hpLWHmh8Tt6eZ4THUBfw2kB6zNwGPqVV09gNGLr7Y5GrZxN6AUT1YF7a87Tg7HrmpYAF8+AxuYSw2JrD/IcLoAgqPmfeZgf/tQf22iE2bmeRs1+QGoBDxInSBgVnB5jpZAx4KPj8/5LBUscIj4wvgCIYM6RrPoFhPlcE8wkRcmuLn72D4AAcupihgbMDzHQ6BiycEY9LEHMEp/SE+Q8XIItGQdJSwue1anoECgzdveABE+8uOAJE94QM0WdMoDOr6XQMWDhPODpRDAuuLf5yI3BWHsNJt9tcgYFNiEAAjVDeLtH42TsIDsChixmqwdlFFQKJxyXIYKnyOodLDQBxTxzmtonThdQE/vB+iba2yOXtEpcaAKIbmJnRg7PRL7LRQzADj0kQcsTmFIYoNF9k4synbWLhUdO5FRi6e8NDdHy7TDQPVchKTlh4zAQqLDza2gO9Bqhcr8ITAeJvUHhyC4VHTGAP75ZwW4u8XoUnAkRVQ+HJFYXWKLOiyBpKTpTAMudVciJA3OE1jm3i8ZzxaE48ljMMqOIXRM6r5OQZSk4eoeSo6WQjlBxp7WG+lZySrpITAXqnN4VBrchbHcIgpkdQwtsk2lrjF+8uOAKHLmSopBLdlZuuxHDCcYliWLC8yqEvjV0ARdD8jaxtlI9gYv0h/oYVSHeXaTjsyqbwBPO8LR1TVUdoy6bNHDVApdYJ74pdMlgq119aNVakBoAi2BfZdRSJnc8O3DzRjWKp5pOJkSTcmWmekQTD2/q4du66uq+6613C5ZMBN3tozYEK0AqfVxhZkMFSD117XGoAXg7w+8cn+vZoJ6P3y8080VM5g+09tu3g++zebzIGLFWnOq6FdGqe9hm3PrHtE8hcbBn2mw2Aiy3alUhsfTT6I7Z6v2Kxvr3Hth18u1gkY8Cyc9wV7UZMV6AbZdz6xLZPIHOxw1bajICLHcX7Jd2xkegP+6h+qE50vr3Hth18u1gkO0DX3zu76zPQialifesT2z6BzMSe9Qp7d7EKvBwY2lloiZ6l0RO7miYWtvfYtoNvExvIGCjYjfuTsBurKWJh6xPbPoHMxdYn/mYVcLE1acK2/7Mwq/UrNV2sb++xbQffLhbJDlAsO8cdLWkIdGKqWN/6xLZPIHOxo8RurICLHd1/s30M/BGp6WJ9e49tO/h2sUjGQMJu3GWldaN7sBvD1ie2fQKZiaXFvUI3VuDlwPJuPFLCbqymiYXtPbbt4NvEBjIGLDvH3dMCnZgiFrY+se0TyFxsvUqPAi62Fu/Go4bSM+pVemB7j207+Hax9So9oyzsxrR2F3RjNVWsb31i2yeQudhxlR4FXOyA0jPGwm6spov17T227eDbxY6r9JyPF3o3HqNEulB6YOsT2z6BzMTO9MiSJxfwcgBKz0yh9KhpYmF7j207+DaxgewAz8RuPJ+B3VhNEQtbn9j2CWS/ac63LU4C97dv6CxhsmiNRr85TMtkhIdhDtgtZoP0vrR5odPiRfdGlUmAb5/eoENOp4jYis4g0S3bwKyIBiceLPpL4bnTT2tU9Pg07IYomEmrv6CvfRUYHkI64PEoZCGrF9OkTJCJCzp3otdHTdhsxGdFDgC5QRqgenEJUSbfv0zteib2Bp170yM0bbzahpG5rfEYIiG7CxHlNJaLN+gw17M2OTRL4emJA8itkIUnXjz+9vZMbF8s6JMaz8UFUUT7ai762heQNSGbAR6RQha1ejFdygTpuKBzO5uW+gnNOj/vMscKALlBGqB6MQmXTE4HDU8tpuOCKCIa04IvGvMKshngESlkUasX06VMkI4LesnN8o7N6JJ1oGMFgNwgC1C8uIQoU258j7DX93fo3Pxe4flaSzlJroXNAYvIII3avKguY/J03NAhb7TiJTartGggOhYAyA3SANWLSbhkcjroRuCM6bggimj3+x58Nflym7EZ4BEpZFGrF9OlTJCOCzrkz/l6hTejlWwWOlYAyA2yAMWLS4gyOR27A88V03FB5/b5uHzNJblWNgM8IoUsavViupQJ0nFBh7ycZcyg2T5NTMGxAEiukAUoXlxClCk315c0s3TcEN0p3f0eO8dZwwNz74AFZJAGrU5UlfF4Mm7o3HSfHymHZu1j4JBkAHAbpPGpF1NwieRk7O67Yo29oXMbvoemG6Bv8QKZ2h6PIBayujBRSgO5uKDDnEW6NXvoe5LoWADkVsjCEy8ef9Qo9+knrZwZcnFB5xb6unytR3wpmwEekUIWtXoxXcoE6bigQ94/UgvN6sfqwbEAQG6QBqheTMIlk69XcpJm+srdG0SXEfR6I7ye1mh9kFID0D4a9Ey6mDCIg4RGPF/E3dq8kzfokD8fOLHrPB8oA/0YoDM6AZJ00DMGvrSwiKNMTse+hj7nBfsSb9XES5pG6MV31c+5k8wkOXflK9o7su72uY2f6AuyP9G98VHyuc3Pp+a0ZHU+jwF0j+cjpRobMfT6ZJ5pGes9BJ87+jkFQGNzN6aAoQ3Uj/NtUuO+NMpTD2anW9rp4RtQF/RCaNCqiy5sn8R8jJz5+Qd9PUmBI6yfgwH7jHOMwYsCzHQaReiFUNljMt1+MMf5o8+F5AzwExUJ0PZRCeYlyozpqI9MMnqDMB01fZTTWZWNpmymAhEJgOnwfUSXe1GAmTAdSC4QrwDqfkvfBbwCtwCYDd9HFJiTKDImg2ZzzRySIRAmg6Z4zQnJGPv8fw0ISABMhu8jqtyLAsyEyUByhc4MNPC7z3XPrSrjZgCT4fuoAnUSRYZk0DzHKXd9LgiSQXM184Bk9JQ/6oSjowAkA/ZhVeBFAGGCZARyhc6nAD0bdHc9V8iGApAN2EdVmZcoM6Zj9+bZRkiHQJiOSvMBC6SDLha540lEAmA6fB/R5V4UYCZMB5IrRNc9mI76nOV0gZwBTIfvoxLMS5QZ00FTA8sM6RAI0zHpo2OYDnoc32AkUwDT4fuILvcigDBhOpBcIbop0SEd49y2cG62MRm2h0oyF1FjyAXdl+dvGb5BL4R2Gkv1XNAn3x/4oYgNmfA9WBG4UCDJdwLfoBdC+xAnGDToycHzwIClAKQC9tH4zUvUGHNRz4rJIRcCYS5oxklakAu6KoRyIjbmwvYQUe5CAabBXCCzQuWsQ+1+6XHZgl6hAObC99H4zUvUGHOxO3JZK+RCIMzFviTsD+Zi0lvjMIgpgNnwfUSXe1GAmTAdSC7Q2CdaE4or3f4fE9MhAKbD9xEJ7iXKDOnY8W6PFdOh0Ash+nhu83TQh0jmA+lQANIB+7Au8KIAM0E6ArlC9AWs/Bkc0zO+guQMQDpgH5VgXqLM3z4Z/ExJoc820ufJ8pIxRkKx76W2QmvFJN/rFb9skJ5aP6+uT3HYlMfEtJbJ3CdlK/OTEfosN33FXu1vn/Yvz6xOLaTl+bvrAxSyUlr60TmycjqfSaD2iV5xbu5d7W+flF+RE5w2ZUO8fos6zgL6++pg1vmLK+gnmohMF1CLPkXxpM8I7YFk7ZGFviZDizz9tOhd60wf693Xu/R9ZQV2KuihJPULhXrP50a0OjFbeCgvjKT87KuRkxoFcvlsDtOuwfSlciNVgDIkgSlkoR8XYB2Gb+9qafX+K47vDiR5gKqRJJpWlCESATASgZybnbzH4iz0rcJAu38cMyEvvb0beBkIvAwBL3sB4PB8u+V9vyMB3t0nc+BlIPAydNPc+r/FrxRw933muTT/Hs0XmTQNU4HE64Qnun0+hptDfigO0BPNz9Z6NGntxrdPwTxU+Rwe2/nhtupKTKdiwELh1haoR01DWnrOnEsUGgDiP9Mw3cOZhun+xXR+BSQ+aa3Ri3cXGwCiGzE3dBoH7tQ0OgE0nBGPSxBzBKeUP8KRjcCLgIopSwmOLBvGLibHpu0kcvVrUiNwiEJuaAL+BHdqGpkAFko4LlEGSz1zLlFqACiCMw3TfZxpmM4gpkeggEQorTV+8e6CA3DoYobOU2twV+KvRgENp8bjEsSw4Bnlzij2TDLw9me9cPcuprMrINFJa419RqkzCj3zRX3nMYMrNY1KAA1FWlugl0yqsH6Yvt/AiwA/bolXCz+/hYLmCeab7XzeSTNXo0hbSYJ8wfICDpXkRdtDksTQUwAxV/AsmqMElll5j3Y+fPr9Boj7vLiR6Kubh063N2aoHFmryl+PWc5ByIWTzFu3OaEt7RwAIivc31rngHX7Cu76Y2T8W+kpBMPbLykil49Lls+2XsALgCRyyX+W/EkqsuTPGGx7iW0L+D67l5tMAE2muOuRrhvdxK0rtl2BzMSuuWSS3QW8HOA5QMf/+Q5db8qupomF7SW2LeDbxAayA6yk7Y+7VbT9oVs6EZ+D8a0rtl2BzMW2JtMnL8DFNp7dxf4bz1xT9qYT2TQ6315i2wK+XSySMWDZYXdL2zMdJGvi1hXbrkDmYnOSSXYX4GLT0oRt/2kE9jSc/UTn20tsW8C3i0UyBiw7x13meXNKJ6aK9a0rtl2BzMTOOWI3VuDlQPNuPGfBbqymiYXtJbYt4NvEBjIGpsbP7lakW043ceuKbVcgc7Et67VoBFxse7RnznNqDj8iNV2sby+xbQHfLhbJGGjYjWfr+KtRU8X61hXbrkDmYtOK3VgBF5u6JozmJDbsxmq6WN9eYtsCvl0skh0gW3aOu5wCnZgq1reu2HYFMhM7pr5WdAEvB4p34zEf/BGpaWJhe4ltC/g2sYGMgY7deMyB3VhNEQtbV2y7ApmLbU/sxgq4WHmXif3Xgd142GtRGl0NtQbaFvDtYpGMgVB6hrwJpXStYjeGrSu2XYHMxaar9CjgYlP1bjxSKD1qutgUSg+0LeDbxaar9Iw0sRuPFEqPmio2hdIDbVcgM7F95tiNFTCxtA6FlR5anwG6sZomFraX2LaAbxMbyBgIpafPUHrUFLGwdcW2K5C52HqVHgVcbIXSQ8+D4EekpoutofRA2wK+XWy9Sk+vC7txbwl/NWqqWN+6YtsVyFxsKrEbK+BiU/IzKFp7Brqxmi42hVoDbQv4drFIxkAoPT31SBdKD2xdse0KZCa2jav0KPByYHg3pufA8CNS08TC9hLbFvBtYgPZAWbCbtxmxm6spoiFrSu2XYHMxdYWu7ECLrZC6aHZCNCN1XSxvr3EtgV8u1gkYyCUnhbPYdRUsb51xbYrkLnYdJWelq7S057l3bg9ofS05yo9sL3EtgV8u9h0lZ6WCnbjlkLpaSmUHti6YtsVyEgsf7lL3of57sCwniWAXrW1BO/sikt/hffww9bzVuoIo2kdkBsEXg5Y+ThLJAxIdIUzGP4oqp3BSGS6c1DGYge93NztuIJJ3INfvNaf4OD1JjSVYnonHviFoW3ya9nKPuI6KRdAdJ3fctf24bMrZvpxFaAF/027MUg5UmlBVVxG4QJeBPhb7NvANUDMtFQLoCdMp62eTIlnP9mKwKHCJVO2GVxdRCGMCusCXBJYZsUPTXy/AeKuuN7ENnEFEDOdv+IHh7S1RV5xrYtvny6A6ApmJnxORU0gC59j4bYeKAphsQPX+Ph+A8Qelp9KJSw/ZabzD/zYkLa26Acus/Tt0wUcOlwuJZXwURU1kS7FcPALiJeYI7g++HWj7zewI6gJV5/YJn4Y1UyLQACNsIZVqdS7C44A0T0hQzV8XEVNoAsLUWlrCzaIYcHXQlQXQBGEhai2CQllw9krHAxpZ5HXHDtyBA5RzI2sPKXuZN0pJwsLUWlrD/NeFSTVayGqC6AIwkJUqYaFqMz0COYTIpSFqDT+MWJnjsCh67h7wa4sJpCFZai4rQX6tghVailIRfNFJi50lFpYgMpM4xZAY5PWGvnx7TLRJKoH1wNJ7ZnB1TMvqicUJWntgd4yr6WnLoD4K3TeVkPRUdPZayg6Db5yrp5BaL2KTqsxLzW4uohCGPFovC07ldq17NQFEHdYdiq1sOyUmc4/Q9GR1hb5WLHrRoDoBmZmhKIjJpCFZae4rQX6tuxU6mHZqWC+yAxDWg/LTplp3AJobD1845x9u0w0D1UoNj2l6CrdVCmGEopNv5ad2v9epSYCxA/LTm0jFBo1nb2FQnPaWuT1KjMRIKoa81JDmRETyGooM73GY1Lfyky/Fp+6AIogLD61TUzljImeeBjCl83VL0idV5npM5SZPkKZERPIwuJT2trDfCsz41p86gJeBIQyM3IoM2paBAJohNJa4x/pKjMROHQhQyOFQiMm0IXFp7S1Bfu2+FQaLa53eAEUQQsD3AjrTZnpEbRQbqS1xd+e2JkjQHQ1lJxRQ8kRE+hqKDnS2oO91ztMY15FJwIUwcSUzVB01HT+GYrOmHiw5lV0InCoYnZmcHURhTDiMZlvRWemq+hEYHPTowRI1cyh6Khp/AJodNJaIxfvLjUCRJcm7t6wG4sJZAmvnrmtBZreis5sYXhCk5jD98S3GYqOms7dQtGZ4Vvn7BtktjA8zRaKzuQ7Du7qiZ1XAQslFB2UwTLnVXQiQPwLis5cuNahmc6+8FOq3NYin1fRiQBRzZiXGYqOmEA2Q9GR1hbqfCs6K19FJwIvAsLgtjIcVTaM/Zga2wrfNle/LjUChwgys1IoOWICVQol57T1EN8KzmpXwYkAsbdQcFYPBUdN5++h4Ehri75dBScChy5mp4WCIybQtVBwpLUF294KzlpXwYkARbDC4LZWKDhqegQrFBxpbfGvq+BEgOhmKDhrhoIjJtDNUHCktQd7F5z85FhwLuBFAC6wm+nzhP5TMVMjUEAi1NYSv3o3wRdw6DBD2wzOLqoQCB6XSwZLbbHoXABxh6+JZ/r04ASGHouOAhZd+NK5egepLRadDWBmGhYdNYGsYdHhthZou4tOflYNUlcNQsO3xDN9WhB9r3FxrxFiC985Z98gc9UgcsWsLCw6aiIVFh1t7YHGASqnHBfYvYDNn4oPcdvAomOmsQug0Z22Grl4dqERIKoc8pJyC85yu8hyC8HkcEyiEBbbY9G5AIogfEF8m3BU2XD2Dkc0he+aq1+Q2mPR2QBmpmHRUROoGhYdbush3kUnpxWLzgUQ+8Kik/ODRcdM4xfA4lszHKYVi84FHLqYnYVFR02Qu7DoaGsTvO6ik3OJRecCXgSEwS0XLDpmuuCCRUdba/zi3QVHgOgyFp1t4kK7agJdxoV2tbUH+1Z0cr+KTgQogh6KTu54fHs8uh2OrbSzyPtVbiJwiGJuOgrtUWZHkT0ekf5WbvK6yk0ENncJXxLfZig3ahq/ABpdCd83V+8gdV3lJi/MzArlRkwQu0K5OW1N7HorN6WEgQlNElrC0EYfAQTfarrQEsqNtNbISwlDE5qHKmSFXnWr6OoqNwpYKPGIlGto2k5ix40A8Q8Y3OgZEfQZNZ19hHJz2lrk/So3ESCqHvPSUWiPMjuK7PFo9LdCU5+r0ETgRUDBRNUHjicbxn1MjUvaaczi10VG4BBhTlYoNGKCzBUKzWnrIb4VmlquQhMBYi+h0NSCa7mb6VIZMLElFBrxDmLLVWhqCYWmlhLdlZuuxHBCoYliWPC4Ck0EKIIRhrU6QqGp4yo0AliEIwym4h0Ej6vQ1B4z1EOhERPoeig00tqDfSs0LTxz/34DLwJCoWkP9B82jP2YGpu008hbmBTw7dMFHKKQmwbTBthAooxBhCMSBbDIchWaCBB3mDaQW5g2YKbzh2kD2toiL1ehiQDRFcxMCYVGTCArodC0gkejvBWaNuLxHPFohsfuuYUpA2Y6d5gyoK0t8hGP6IjHc8SsjFBoxESqUGjaiEfk+mJV7tcXqy5g83f4YlXu4YtVZhq7ABrdaauRi2cXGgGiChMFtglCjwFED4jsYYrAJYFlXlMELoC4ayg0XWYMKIOYzi8zAzS6GspNvyYKXMChw8yEaQJqAlmYJsBtPdC3ctNHPKLXFIHcwxSB3EcoNmo6+wjFpocpAuodpI54TEcoNT1MEVATyUoMJpQaVHakjus7VRfwIiAMayNMEzDT+EeYJqCtNXrx7mIjQHRPyM54QqERE+jCd6q0tQf7VmhGvQpNBCiC8J2qbULPYcPZK/Q6aWeR16vQROAQxdzUcPErJpKFi+dR43Gpb+VmXBMGLoAimE9IV5gwYKZHECYMaGuL/5owcAFENzA/I5QbMYEszHzkthbo24SBPMOEgWC+yAzlZsr8AfGtpnELoLFJa418hgkDwTxUodzM9ERXz031xFBCuZlhwsBvWszc1zB45lmY9gfQi5cEoCVSFEr0Mb/VDtA/egTax1lzC6FCq/egl0Rr9CHTAb59eoOInL6HMkOzelZWcccOGLlDEqB7EQmXTFnMgJd1wXRc0IuXDMCmZ9GA1pHNAYvIIYnavYguZ7J0XNAhP8smeqt+Fmx0t2YbsyEanHrQ6KNCfhP+VHtMxIW8eD2BAQ03sD7WBCoANBqAOGDwwoqcSNNwIYe6ncUiodEednJwa4BTG6ThmRcVEDTKIgj7F5RiKi7orEyQL1e0MiVymW3hGCIRuwvR5DSWiQsi5t2RaQlMb1Z4SXJ37IBxOyThuReNP2rkXNB4W2IuLugsXtA1z+KLFjJKyOaAReSQRO1eRJczWTou6JDvkldDs3xWUQLHBji5QRqgeVEJUaaso/DoXqfZ93foLHCQPmpxPlrGQH1V2hmBwkufYaP9a82fwTF9jICAfVYzmwPU6IKI/DlhgJ+HlyS3/ABwojl+DJKIzbHk55bJ6aA7feeX3Gnx1ZOOCzrLIPCq4BuiBWQ/4z7pLCxESx0dsk6rvJ6A9mXlSUabH4t2yGd5Yt1jA+ljZHdxmkToMD9nGd9Ej/paDs1OdOj4LDl8/FSiIGh8lIbRnV3eJMqLOlkymBdVwe/v0CtAgyLbAK2FeYD+UU5uNFkMfMOU2j4SkDox+/CcJgF5AVLoFToUUegVQSRm4LwRo8HpPha+erkkhlTQs/PVFqZCoRdC+9CcVcCEjdZFoLcPLCIFIBWwz5HlTtRmHk8FMiuyD+9In8Hp/GijIzEDkArfx8JXL5fEmIrdJdOoIRUCYSoavTgKvYJmOLQ2ICIBMBW+D8syJ2ILD6QCmBXZx3dCJjqdTGEmBMBM2D4mSJxcAmMidhfmZQHfIExE3jkcExKR9/HtmAgBMBG+D4syJ2p3WZfvRiAReR/etSATu1/TWoNAvGQ9QghO97Hw1cslMaRi7j5bn4KpUAhScVZbmJCKs97CzB6RApAK2OfIcidiC4+nApkVKWeNSXdKD0ITpEIBSIXvY4rUyyUxpmL3YV5H9A3CVLR2Frhztn0NRCt1ekQCYCp8H5ZlTtQespbnjUAq2j7Ap2yr09219wUHEAuAqbB9LHz1ckmMqcg7YXmGVAiEqcjpLM/qbPnZJ1MJIhIAU+H7sCxzojbzQCqAWZF9gHGomLtr8yKORswApsL2sfDVyyUxpGLsXkxLZ35/h14I7Syekwhho/mqD3QKsSERvsfR5B7UZhLPA9IKsgvQ0+BcZvexs46x0woAefB9NHbzcumLeaBpb22EPAiEeaBZ/ufUTdlaOms9e0QCYCZ8H5ZlTtSushr0jUAqWj/rV4PTuSOaSMwApsL2sfDVyyUxpiLt31CPqRAIU5F2FjsMFCP1ffKKB0cATIXvw7LMidrMA6kAZkF2Cco87orT3a/rxFQIgKmwfTR883JJDKno+zz8mR1TodALofP1HyM7byV0GMQVgEzAPkeV+VCTWTwRyKvIOEvTgs95VsQH3imr5kNsuo8Fr14ugTERuw8/8YxbIUxEnfRJACer43wzwAMSABPh+7Aq9SGmsEAigFeR8tGeAYnY3Zq+k+C8AmAibB/To14ugTERaZ+KphQSIRAmgt7a4JMTYaO3OhZGJABmwvdhWeZEbeaBVACzIvN8HwOcrn0x1pGYAUyF7WPhq5dLYkgFvcRWQuUQ5IXIPj9NMGA2WrflgUQoAImAfY4od6J2tstRBF4A7INbIA2N1qCrULoVgDT4Pha8eon6Yhbq+WrO9zcEs1BpjV24/NqXUR8rwZClAGbB92FN5kTtQwNZcF4F9nGtcDHdduVJeKmjAGbB9rHg1UvUF7Ow++7eMaRBIMwDrVBU4dqL3i/dJ/IQkACYB9+HVZkTtZkHEgHMitBiFnAZ2naHTpgItjEPuofFri4ufZKHfm510TvJS69BBRo7f136g0I7g3yOUs8dIP0QkDn3LwNZQL6PxEyvHZdWEGCmb5/eILhDpCEmWgrzoc/E7V6dYNSuuxSVaWuT0H0uhTxgaxN1czJ625HSl5PWPhXjonFBZzmMIZ9/mvvElZJBC0AX/+ASAPrNKGjEX3JKNJkRP/yVaNLhCl8he4MOeT5PTcBPOg8SlAsA/fwTQBaxOmZVbzI5HXQ7I3yX8Q06S2Y84oshWhhDfElEDuhXrADiL125F/kWljPZJ7TeIErHucESmtXzPMEcO2DkDmnK1ItKuGXyohal0A8L03FDZ1mNGn2V0uIBcsDTYZCmQ72oLmPydNzQIX/4u1rWjFbSX+jYACc3yAIULy4hyuR07B6Ne31/hygi+nzXRF/0rS5MvgMekUEatXoxXcoE6bigQ94+amhV+Zti7lcB5zZI4xMnJuASKet/JGllybihsyhHkUyLr/rsQo3JcMACckiCNi8qy5g8GTdEyaD5kxmzQS9+ZMyGAZ4NgzQb6sUlRJmcjt19e47puCBKx65pT0Jfe6RHMrM9GYpoLtSF5UJpIBcXdJjLeZwCzRJ9XgcdKwDcCll44sXjjxo5F32dZyOYiws6a3o8l6+RJdHKZoBHZJBGrV5MlzJBOi6IyPtkZd6scfk0xwY4uUEaoHoxCZdMXpKCvkUXvn38Bp3VP1r0RVMyM5RUACwihyRq86K6jMnTcUOHnD6SFpo9fILhjhUAcoUsQPHiEqJMTgdN5I1F5YYoIpp7HHzRxJ6GbAZ4RAZp1OrFdCkTpOOCDvk+dZqhWTnnouBYASc3SANULybhkikLljzSzNNxQWcVkcIngOZr1Cv5BnhEBmnU6sV0KROk44KInOZP4PDbdr8PvU5tp1ZEo1MXHn/UyGtfPO0jfDP9RmhRiud8y9A9nQ/WYUVxwMJxSCI2LypJiTwRF3Ko+UkoNMr7ui+4VQCoFbLwxIsLCBo5E7vjrlhdb+isRZIuV/sioGIfdMADMkiDVi8mS5kgGRdE5Ls3txyancex4NgAJzdIA1QvJuGSyenYHbdcPeOCKKLRztNs97Wvw2LuDfCIDNKo1YvpUiZIxwUdcjm/t2a7yw8cjBxwcoMsQL1KMAlRJi+rsXvvigX2hmi9i301nrDA0jfrGhZYBywihyRq86K6jMnTcUOHvIUrlw3QconBsQJObpAGqF5MwiWT00GfVo1XbTd01jopkmv1Vav4UjYDPCKDNGr1YrqUCdJxQYf8CVcuaezTuoVjswNObpAF+ISrkjeZnA5aDnTGdFwQRXQW30RftDgn9kUHPCKDNGr1YrqUCdJxQYf8OqEf9EmtFRwrAOQKWYDXxcUtkxfy2B24xAJ7Q2fFlCTXHOKLvmMXku+AReSQRG1eVJcxeTpuiMgfPsf3Vo2+6wV+DXBugzQ+cWICLpGcjN2fn1hXbojiqT003cCIF8wOeEAGadDqxWQpEyTjgg55ZmHe7KG5XOhYASBXyAIULy4hyuR07O57XbXdEEW0e330FRN/H5l46LSxyVECyMIFHU45s/dmLV6vOeDMBmlo6sUiv9TxKiG7Gz+xnNwQLd1B7yxgB1u0bhDm3AGLyCGJ2ryoLmPydNwQkdPqhjjsLnqHAcuJA05ukAaoXlxClMnp2P22x+u1G6KIdnefWKlXe+L1mgMekUEatXoxXcoE6bigQ77P7Htots/sR3CsgJMbpAGqF5NwyeR00AeI4/XaDZ2FXTJNlARf9JQUy4kDHpFBGrV6MV3KBOm4ICIfM16vraEXCerYACc3SANULy4hyuSVSHYH7qG6vkG0TMju9xOabmBKrpkNAI0III7avYguZ7J0vEGHPH/kFZrtM/zgV2ygFsSiExcef9TIuajzI8VUROSsCvOEK78NpJB3ADwcgzRi9WKShAgSERGirj1ctGyghpNbAJzaIA1PvZiAqJEzQev1X6m4IAqIPkSEnmaXLCuXAR6PQRqzODFRygOpuKBD/YQrlkwzpFNBvwY4t0EW3xOuRt5E8oonqYcLj+/vEC1DQk+uoZ5sYIkvYXPAInJIojYvqsuYPB03dMhruGLZwD6vr8GxAkCukAVYw9XIm0xOB73HVGM6LogioheYMLX01dWCHdEBj8ggjVq9mC5lgnRcEJHXeBqf03kzCx0b4OQGaYA1XlK8yeR07P5bWkzHBVFEu9u3hr7mDFdrAHhEBmnU6sV0KROk44IOuZzXe7MUnkgAAOQpPNlwLy4hyuR1VdIMFx7f36GzhE2SXIuv/T/xJWwOWEQOSdTmRXUZk6fjhoicvh03Q7M9BOGY5ICTG6QBqheTcMnkdGwP8WrtDaKIttPoa/8xBrIZ4BEZpFGrF9OlTJCOCzrkOPzSRzbwhB8AZzbIoksh+PJ2pZbz+aZyyENEKJK5JMfqaT3hEhkAD8YgDVi9mCQhgixE5FBvypAHWiW1BLflOv0FSMNTLyYgauRVanavreEi7Q2i5WNywZbbxl+HWBaJ2BKqtlUt5t4zcEPEuGvRg2NtSXpJoH4NcGKDNDL14oFHbZwDmv0Za8gNUUS0AiSW1ELTSrGGOOARGaRRqxfTpUyQjgs65PtkvoZmKZ7OOgDkKZ4WmxeXEGVyOnaXrbGG3BBFtHt69LWK5FrZDPCIDNKo1YvpUiZIxwUR+RwfTw/N9JJAHRvg5AZpgOrFJFwyeSGcXMNe398hWp2GFujDklppiT78lThgETkkUZsX1WVMno4bOuQpXKZsYJ/Rz+BYASBXyAJM4SrkTSang14kiGPnDVFE9P4BludKbyhgX3TAIzJIo1YvpkuZIB0XdMjbx7NCs/Kxgl+xnVoRjU5dWPyXRs7F7r2xnF4IBUOruAZPtMpryLsBHo5BGrF6MUlCBImICFHPFa5UNkDzWdGtAU5tkIanXlxA0MhL7dC3lOMl2g3ROjh5YMttL8mycDlg8TgkMasTFWU8noobOtRyMu/N0scqwa8CwK2QxaeXBKYgiuRk0HujsabeEEXEb46CL3pjFTPvgEdkkEatXkyXMkE6LojId3fGy5QNdJrMCo4NcHKDNED14hKiTE7HKtLM03FBFNFqkmv1tYb4UjYDPCKDNGr1YrqUCdJxQYc8h8uU3M53h9GxAU5ukAWYwyXIm0xe2idPerMX03FDtObO7vbBV6fXizH5DlhEDknU5kV1GZOn44YOuZzMezO9JDDHCji5QRqgejEJl0xOB3+BPqSDJqWOmA6aYYqlutMMU0y+Ax6RQRq1ejFdygTp0HggHbtXFyyvva14ieaAkxtkAYoXlxCVczpWD1cd398hiui8GYy+1oqXaA54RAZp1OrFdCkTpOOCDnk8oe+72/cU/CoA3ApZfPGK4hbJywed1WExFxdCK/qUdNYXMU+DZpdi4h2wcBySkM2LilIiz8SFEPXuzzWFRj2e3jrg1AZpeOrFBESNnAmaRhpLyg1RQDS3NLjq4wN/kmZ7OIpoxOrCNCkNZOKCDnOhtxyxmV4emGMFgFshC0+8ePxRI+eC5ozGO6A3RIsgPU/0NWlmKdYTBywihyRq82K6lAnScUGUDlr1vIZmenmg6TDA02GQpkO9WDoumZSO//j533/q5z3O//Ep/eKSTHmclyW2i3Nalc5CVVceXrCXvFrxOjTpM/33t/9Vv4FxlucYg7/fcYDUeamGeZYrT3JLTD5eo6bMC6q+vafQWkzxTrsLQG+8jM/SerWsH+Yh72rSk9rDbts1WGkdY//26a/+9SdaGafu/P3Cclb6BDg9NJqtzwjtoOgZyvneC92mTbTQNb1XqbNIFDgTk0bc5yx+uMCLAcJ0propRDc5aDaTeLE1GZQJ1m3QaGwflyBebk3f+EjLAXrKKZgkNLv50hSnRItuDZ6hdRq8AdZkp3lfbc86fznPvfPrEmcNI34XWSfn+NozFOYv+pE8P2et3fPpoCpuDvLyDG2uTtNbXtDsB5C2+xXsOn9luynU+O9U8Zwm+2f1N58S/y3/fPv++d/+/Onf/Idt0jtWZffRn//qE5Hmh3nOZFlyTq8d0edxf/7+6T99+adf92+77pi//JOvu9q0+eWPv/60obR6//KXf/v1J4qitbY3714wnpG+/MnXnzL9HtL88ntf//PPf/Hpp00zBt0bOu977THw5/+yXf/u2a/2WaHxn33dw9LITwbsD4m55tS//Cm7zn3K5tLWl392SP7dz592Xxvn0xiZ3vzlvjbOxzH22WyT3mZApc6VqG6cM2L+QY82zaCZTPSiEm5toa2ax/fZnYGpXduALu3Z3Rwf50d2Pp+hJrWXYHS7ipHWQRvPIBMxz4nP5bZ23tF5AUAr8hlla48omGZ4/L6VFmHcZpGRV8xq2TmAsL8A0Pyw3KcJtxsgVreqlCLaURmKbWnpD5k91HHOfV8APJLuI5bm+nP8JxwxXa5vr7F1Be8uV/hd7rmy79YdWtZ0TTNOa868bhUx2jZoE7kspgzrygcofKn4AmBKug9DiZ1NTJfr2wvvrq3FXNaZDyD8Lwfqgz8G+khtczoxXbBtFznaOqhDwaV168wMPNM6swDQoUrsbGL64fLtrM/aijktOwww+wsA/bFy9tqS9kzXPF2cfd2uYgaqF+8olz55Lt2ZPWS6DSQRCFB9bMrWu044GfrXkevbS2xbwLfLFfYXAJofdne+Km9yxTztJ2xVKQ21i2/5oOKRklbSzixA9aFSgIyHM8XOJqbH79tDW/d8dnXml5kVf+RpNTzIYqpM3yoiKg4v4jnIfM6I4jJpGbeCx/SJ3YhWi4OKIqbL9O2hrXs2mcxsMpP+ODlbKSONmF7nfDvLsNaoSoRS1HlY1z3TsnxglFlaPg6dWVw+yqppEmH78xFaZ57fNVyk8L7MXPiT1iXeNJclGRHn2rZPbOt6TOA+0M26K53fLh8Kj4mdJs3QpdSUmGHrkedtxRzWWVl+tfMVBQb8rre5pD1nsy7rsJxt2x7aumcReXaevVh3ZSD5IChAgRJ3Tkd9TFXTpOpWumCFtmp6PXqA/QWA5oac9Q7nImpaNYPtPbZFZSh2zGSdloHiQ6AAeLaXRuheaqpY28rqrK2aRY+LANPOVRQo9mM+XyyFgyymi/XtIqXAIKK+USzdplt4ZHvzYZCB2JFopRivF2r6wbLtHL21FrMlzY0Ay85VRO6jPz7S92QkG08OZyqwnfVZW9Qmck8DWlJFO/IBGp/LvRzoA8rbNruNq2q4WNt6vqbrbcUcVotELLO/AFj4I+/5wV+NmFa6YXuLrVEbyqVPWGhXPkCdPjAKEDpUxc5WZ4kHy7ayPmurpl2liP5i5ykKdPzd0yuddqjFcLG+VaR01C6+Uex5qorHtj4+RApQoNilar3HDRCrW0WdtlXTrlIEaHaeooBmh921DmSth7MU2CpSGmoX3yL2ZIc+0KQdmYHsg6QACUelErtaSSuOO7a9jrO7tlbTziJZnfC/ACj4Qy+j+u9GDJfrW2toG7ShXJrYpB2Zgb6i3Gy/28OQ7XfLNwP9l8vh2nbWZ63VtM4owLQzFwHWg7/8vAqem4jpgn07B7vw+lm9/9YF78l3+fwTP1lZnJx83v/MvZ3ZvS+E9oFJmUNcDHR6unsk0LxbBUR1KWGffl5mdC8GMNNppBDH8wKIRubzcpg6ppE7J+4u9IqmAjK2ngBtH9FpTqJu6ScqM515opgMeoM5r5CM1s/sHKdvvX7oh9IbAKjL9+G5wpnG+2cG4DDB24YazytA0zobZzmfO3VwJBjAZNg+LnTQ64tvymM66FX28vk7OKJR+6l6NiVQOctnWzZooaGeIUIBMBu+j8hyLwYcJswGh/MKSIs9jAb6hd1SABmqRsZ9XKZ4ibolFyqTZqi1mIznfC8gJOM5k3+drOzTiDIgGQJgMnwffqcUvBhwmE4jhTieV4CKdDHNMs2ZQ3IBMBu2jwsVL5fymI5CK1ykkI6SH1lU2yGalV/gcNC0x1IwHQzgYfZ9RJd7UYCZMB0SD6aD1tKp2DkKLRoSyBnAdNg+JkG9XMpjOmgCq5w+qCdZt+wVoPNgxNNBy7nzC70SogCYDt9HdLkXA4Y8eXFo2tmLQ3purY6nF+2TDqskEOD0wi9Cp11oonJ5AVuF7vOdlUI6Ep2NtJAOemuhVggg0WpfBdIhACrzffJ58gJeDDhMp5FAEs8rQF16mabjGdLL9FgwENJh+5hQ9RKVx3Sk3V977B0PfXkqhXQ8dOayIB30vZK1ICIBMB2+j+hyLwYcJkyHxPMK0HkpEPKca+yaAmCB931MqHqJyiUdkkX64kzPnA6GzifcS9MzQoZoOnrzdGzgvPNvR0wBSAfsI48y3QsLTbREfushHRIPpoO+2fPgkPPQN0mwdwiA6fB9VKh5icpDOtKiuWojpoPuG6eYDrpmcP5tV/rRQzYYAGGwj2ZDnZh9eGCtAo3mFaARylFaNHcucDMAyYB9TKZ6ibolGdJs0joX0jcUyp2Wr3kF6Cwo5NmYOdP8DA9RAMyG7yOPNt2LAYcJ0yHxvALUzuc63DEtHYIdUwCo8bCPCVUvUXlMB62EzaueO0Sv76aQDgptQqVLo5x3/j0dAmA6fB9R714MOEynkUIczytARTqZOqbF7gM5A5gO38eEqpeo/ErHs+gXhumguWor9o7ezkN5Px698RdLLCIB8ED7PqLLvSjATCEdHE9IRzoLkUE66CNl2DUFCOmwfVSoeYnKJR3SjKYtLukdAtFCvKvg5dOGOk389XTQB0ExQrYxGbqHLDziLhw4NJgLCeYVoCldTJOc+TadHYdjw9mO72ES1UXUHBPR6GlMCYmo9KXvERJxZqYjfV3na0eeCQFQlu2j0s2LA00v9iw9HM8rQGedUXfcaJ0MJBcAs+H7mFD1EpXHdNDbCXPFdNBK1bFf1HQmU0E60iPX2ZoOBkI6dB9Tr14cOEyYDonnFaBCc+XB8b4+xk7JNtZ228NUqosoW3IhKSy00oWsBaRQsdu2Bu1ul+D0ZwOdVpv1risA5sL2KaeygRcDit3EVeESD+aizCTdUB3vq2PuqJIMATAbvo9KMC9ReUxHXl1v9xg0aPX4kI489MJR2Ohha4eJWwqgMttH1ZsXBw7TaaQQx/MK0ODnJJoeWl8w4aFgIGTD9jGd7OTS/dunISY7l8U7ZessqKdQGvTteb7LNOiuBQCp61lZ5wVFz7RaWlbCvAz+RqMzCQDJ9X3KKdLgxQBnMkijUS8W76Xp26+ZJTbS4Gl99Fw+L1xeS6cHnkkU7bzbid3qaviSg+CTNPPguR8jyyRNAUqS+9L7MvN5M2X3193+zOD7X5uqRnI+0xfPVpKZav/o6090462O+uV3vu5r0NkLTjH7PZpE1ueX3/9Kr5Xsc7nx5Q989tof0myy/uwmf/T1J3r4kDpjbYxmbf+xTz/7y/9mW3/3625Q+6Ipa9S2EPMfUwirDp4kRxPm9gmmzKFrT6FJcvQB8lqHTJLj+Wua8LzCNNfvnwo9Ru0GvDZQEdik45i1BXPII0QFhj41MYBnr6m7wZMLlG7o/BYNSIB9hNcpKmzmuaa5EkMfobApgbzU5DDZiUi4NP+G2bR5lcrfgJNuvvNF56tnMqr1/ELXF3M6VGjhKx492/kCLAAz8wf9HBo0cVgyr9BWsQcRdzz2xf6uB04uwDcIUSDKIC0K2xzKc54vkZljAJicsqmQhPhCiGW4YxH6lp97lP2fp7cU+vD0GUWaPHEslZbAGQ69ACo9831Gb/gDyBr+dZy5Wsr5HPKuGDIPrNCsqWrAy4C85CmRNnkHtNcVmvVWfwRYk3o+XfwOAO284xAgX7TvgDbZXfqXck0XMefUJJ3lPwkqZ41WRV6A0IGuB7Fm75D1lEKLlZ8zsR9A0JDOqNPfAXkM1vAHEN0BTTGuH0DakHvA36cOlHRq2FleZdmUZZqPvtKwOcJ7iD11oGYqCTSWZxvez+xj2tpSLV/+lLYWn+5MQ/Ue6nkW8y6l9N2HM4u5bQVnFrNMU+7ZKkdLu8isXV1oIbt9fbjL0T7Po9XbrR7tqvH7X6nkp0WVieKlmcwekjf5c68ef+KF4je/XZBPte8O8XzxTB2B5tqnhwt7pjPiaq80vGyPp+cISBM6ertXe+Vq+fm8zkcD+nmd5nzDHvzR9vPNEC4jb3zY/lf8YDItrU3LIqxKdzIbv+V2XghzqbbT+djGkFUheIGHH+ylrt7GprPHpA9Ry6RNAx7NTqMPst2mzrI885nnD4D0SFnnBrc5ZNaO0r0D1qDSx3Uu0+li/L8mvfq2uL5nECBaybIcv3vsp5d8fgjpCwq58VzjH0IbU8na8EfQmHwb2oP4EWQNK1Xm8WPIg7g12oj063qediqE6HsmeYSuV+e58W8vfqe6S00mYFf76TYV+cofPhdEfquz7V8OfTPnnBHyiVRdeqTP1j20oCk7y2/0t/+QFPLvgzlEL+AOV9PpvsPIpkZtehltnyTSu2cKiZzRaWSg94wHDxU0NXADTz/AS/egL0QFQJvcQ0+l2t1h8Km03kCGwUX28OGnJqou9/bfMPxUGldj1ip9gw6GFdvFB596vs1df7jX3zn41MynGzb4GKCjTS0ph9HIAP291yKj+Q3YiKFN3gEdc5T2HbAmtKZU/wHgtFHLr0p0vwcigHTUqed5aPs7IP1119LugcghGym84Y8gHXU8iB9B1jAtuUT4AeRB3Bp/3UDkFyQyXlBqdheeFYeQmps81xHI+6WMTADw6PUN++7s/Fl0iqfSjDH6HelT9fcfFp1p+x6vu8mvGpLKOpfbPnKAMB9MTJhCFrSMUW7b1wcN2oPoB9VI0cVRn88Qd9DlA4LI0D1ed5O3MYkmX/vE1+1x1sWzXfW3IcB85J2tPYafJm9ArXLFpE7fAHP61wDJ3Lp3nrdIbi+Xj9evvyKvi2aAwIMS4qdnz92hF0D0MuU5lr3x2uE/QGjeS60nLHX+A8ic/5pfDjY7a8p+/1FMPwj8ne7N1fVCpt5v6XnpHZ0A0H2F8Zi5jcSzhE9pclMmxjpQZPfTNvHNG/Us07Ev4Nz86TzlWBtUcMWGEbEpYWi7hXeZxKS7CmU9Gfb4fgMvAgo02mZ3/2Iot5hFdiwgwv2qyAgcIswJve8OItU0mQpoIA+GiBJYZhmcfpMZAGIvE1O1Cs8JV/9qmlQFRKy2FrHq3cQG4NBVjl8blOiu3HQlhiOtNVgUw4LHA3t8vwGKYBRotE2Z1S4MaloECkiE2lriV+8mOABE12OG+sDfg5lGp4CE0+PRCWJIcH2eGjryBdBJHF9MCbBN7z9qCLuaRXbsIMX9itQLOESYm20+H8Hd83GRPR8hFDwulwyWWlbozBdAEdQEv9lKE2mQQU2LQAGJUFtL/OrdBAeA6ArmpzToym4amQISTMFjEoSw2BGP6ojHdLSQrNGhE7tp3ApIbNpaIh/xuI54VEfMyniiq+ememIo8YiM65jSeSaWmwvQSx9tT+/6+c/DTWU3oMjuPrS6ZxUaAaJ6Ql7SA0LFMKIHRFo7CfK5y02ldz7D8YwAcVcsN9uEviKGcVfoZ9ZOYq6x3FzAIcKcFCw3bhpVwXKjbTXEu9zUNOKxHPFIDhzMtomlxk3jHlhqvLVEPuKxHPFIDiwz2yzRVbmpSgwFy0yQcWTmFIvMBZwLSegPOWGJcVPZDSiyO/RB86xCI0BUT8gLTS2FX4CZRvZggfHWGupbgaG7AaHrRoAiqKHA5Ao9Rgxjr9DbrJ1EXq8CE4FDFAoMfcU4uLsKjAEaSigwUQZLHVeBicC5sA7DGd1jRoZ5FRgDJMIZhlLzboLHVWDo8g8zNEKJMdPoRigx1lqCHW9FRu6ZuOAInLsqYWgrKRQaMzUCA4rsHgZU866CI3DoQoZKeqK756Z7Yjjh6EQxLLhe5SYC5wYLDHFnOWHw365yY4DE12BoNc8mtl7lptSYnYpSaxRaUWaNx6S+lRu5WwYy51Vuygzl5nzh2/zP0KvElLhmKDfm10TOq9yUiTkZodyYaVQjlBtpqyG+lZuawrFE80VmGNpqCuXGTOU2oMjuYVgV3yoTzUMVyk1NGbutmU6Vsdtaaw30Opq1XeUmAsTfoD9UfXFXvKtp7ApIdA36oHk2oe0qN7XGvNRQbsw0shrKjbXWUN/KTZ1XuYkARTDDsFYn9BgxjH1Cb7N2Evm8yk0EDlEoN/Sh++DuKjcGaCih3EQZRyotoxPKTQR2BLTuDvxKWw7lxkyNwIAiu4fB1Lyr4AgQXQoZaimUGzONLoVyY60l2PRWblq7yk0EKIIWhrbWQrkx0yJoodxYa4m/XeUmAocuZqg90d1z0z0xnHh02lu5afMqNxGgCOYMSVuh4JhpEaxQcKy1xD+vkhOBQxczNFHujGInSp3xuMy3ktPzVXIiQHdIcyg5PUPfEUO5xSyyYyg55ldFRuAQQcmh91zhN2GmUaVQcqSthvhWcnoLxxPNcxM4DG+0IC6KbFfJMUBia2FoFd8ms4Uj2VvMSgslx0ynCiXHWmugeDR/0wvg/lSnl/P18h9AZzLaknn3DJXJr2wTQCt7BqDSvWq62enQmdeDXmisRSKyv326kcPM33z1NkXeKjCnBhixQxKcO5HwL4nn5uOc+n6Cp+KCKKCZL19TX1pQNgcsIockavfCspxIUxGRc+d+8pQmbTNkqrQ5dcCIHZLg3ImGHyXyfViafTRCKm6Ibo7SaiEAbWCqL2YDQCMCiKMGL0cWEEkqLuQw87devQ39PtCn2k6riEZmHjT2qI/zsHtsjWmICMXSkqZYPLWsnoTLAQvHIYnYvbAi49EkBIB497nZmS1nLfgTsO7SAaN1SEJzJxJ81MdZmFlbWRouiOI5RQY8Tf7gq3M5YPE4JDGbE9bkNJqGiBzedGbUW5uxeOq5+XTAeB3S2MyJRh8F8l1dmsKeMRFvEN1yTSs0rU9OmuTDhoBEhNCJGr2QLCTiVNzIYe4qS9qcVxvRqQFG7JAE504k/Esip6Lxt1IxFRdEAbVy+WpVfQmbAxaRQxK1e2FZTqSpiMh5lrDOx0StTeWvv7pTB4zYIQnOnWj4USKnYjZtZqm4IJyMY77mUl/C5oBF5JBE7V5YlhNpKiJymPlLr94m8ZQQd2qAExukwZkTDT9K5DvI+Ql7fX+H6PZu5s88mS96YbxjHwRAIwKIowYvRxYQSSou5DyN4K+8Wpska1SbUweM2CEJzp1o+FEip6IVbWapuCAKqPEnntxXG+pL2BywiBySqN0Ly3IiTUVEDnP+KNjkfPIVXKrtrIpoYOpAI4/qOAtzfqSYhIhQJHPxfCTztJImWKgcsGgckoDdCwsyHk1BAA7vWfAFWvC3XsGlAUbrkITmTiT4qI/vTO+u2mLduCG6XZzPohHuihZSxYy7reE4whGDiyMJWCQLF3Jo7TSd26QRzlURMF6HNDRzorFHfZyHxh9ExTxcEE4hM19taY6FzQGLyCGJ2r2wLCfSVETkMBe8/Nh25ol47tQAJzZIgyvh2uJNIqdC5/hBKi7ozBRNmmfxtYr6EjYHLCKHJGr3wrKcSFMRkfOoZOLlx7b5867u1AEjdkiCcycS/iWRb3fnqs00FTd0psT10HQD/C0nYwNAIwKIowYvRxYQSSou5DCHU/NK6w61GZwa4MQGaXDxKuFNIqdC54dCKi7oPORY4VKl0otPeN2FgEXkkETtXliWE2kqInKY7Xxd2ujpuvpU22gNkcjcg8R+6eM8rHw+d4N5uCCKZlVNsvhaLVztImABOSQxuxfW5ESah4gcZhhkaXHzjkMPAMbqkEaWQuBRHN9L3301Xna9QXSbO2MG6CspCU9WANBYAOJ41cVRAxQi/0IOZ8UrD3rlKVxyIeCsJVxyoRONvb9fctX+nG+9YBIuiALqWdMrvnoJF7oIWEQOSdTuhWU5kaYiIufZDX+w1drs/h1OUwEwYockOHei4UeJnIpVwxXE93eIAlojXnLVNeMlFwAWkUMStXthWU6kqYjIYc7n46Dexk7Q1akBTmyQBmdONPwoke/M5xmuIL6/Q3S7vPDnmsxXo1fisWQAoBEBxFGDlyMLiCQVF3Ke/IxwyUVfXZx4xg6AETskwbkTCf+SyKnoOVxBfH+HKKDOX0Z1X71rnoXNAYvIIYnavbAsJ9JUROQw81dbrU2z83Rx6oARO6TBmRMNP0rkVKwR9vr+DlFAu6+Hy7f+JFXFbABoRABJ1O6FZTmRpiIih5m/0eptzjdcwafalghDJA/uQfJw6eOnHOX5iMXzQugBRCnxouuQYu0EwLLgEEcMXo4i55EkROA83Ymn5X138oIjDwBG65CElq8rhEvfb1/fA1ymR95usXcCJJIQPS8LJS90LJ3DIV9RuYDzjoM8pzpAXTzVhJ/miKHPesTkJ0HWjp8TrXtWyrpnpaw4K2XhrJQVZ6UsnJVi7UYksi+nVLpFmoPIABC3zi4RH7PiszkzjV8BiS7OTTHvJjUAhw4eFK44N2Xdc1NWnJsibUekMrHtSXg8g/kic0CD9oS5KW4KtwMnNm+dpDUe0WAeKsxKe8LcFDedCh8UeuuBVCBT1pB3oQEg/oZCw9wUN409zE3RthK5ejahASCqMDdlm5izGjNaMd/abkQikKmzN0xmAIh7tpAomJWihnHDrBRvJzFfs1Iu4BBhTsKcFDedCuekaNsRqVxm0jkbKjMCm53uVEKqkk4xYf9mKr8BHJ+15ujTNSPlAoguzEjZZgvurhkpDkg42npEOhCsczZMcAAogobD2jZxRoqbFkGYkeKtJf5rRsoFHLqYobrw92Cm0Smg4cSjE8Sw4NljR44ARTBnSNp6wP96Avt6ILYwF8X9mtQAHKKYm4l5mzGrE3M+4xEJAo5IunUYunEEXgSEYY2+PwU/EzOV3wCOLocZKe5dpUbg0D2wexrYic00MgU0mAcDfSs0uYXxF01ibqHQZJ1iIr7VNG4FJLYWCk0OM1KCeahiVsKMFDedKsdQ4hFp1whMN/6i0HkVmrxQ6AqFxkxjX6HQSFuJfF6FJgJENWNeJh7PGY/mxGM549GYb4WGbuqF32cEXgSEQlMydFwxlFtMjsvaJWl3FZoIHKKMu4dCY6ZThUIjbUekApkNB7LvN0DsHSffbTMUEjMtetmdPyBi7tJZZbwV+RZPku8EXQDRha/ZbBO/deOmfFHDdtfoxJ2ZcZgmwVxs25KZYxdAEfCJQFuSQZ4+2pa4nG4QP78b0/hzXa3wuzG2s5pDsxMAIhuDvS9Op7xb8yQh44P5JKXjT/ZmiYyT8TzMHYSI2JMOutgvfHQD8AJADqdo70/Q3uXTQ6Letj6x7QO+z87PTSaAZjbbV5KcylKloej2Htv2QAZiiyxNdAEgNktnFIY8JH6OIA/tWzPj1ie2fcA3iAUyAeR3e5yVEqiKdWMJxbb32LYHMhdLS9XK8BSAFwBFuhJ/PGhliZ+/NLSyHayMW5/Y9gHfLhbJBNDsHGfyE1aqZZ1YQtHtPbbtgQzE9hy7ce3JfrMM8PKCxsAPJCwC/UyixGdbn9j2Ad8gVr/J6EDxEYHWskWqXo2KQ7HtPbZFZUGsfizxAkBsbvibpbvy8EMS08Ta1ie2fcA3iAUyAZZ348qfRDSqkmI39u09tu2BzMWWVWI3FuAFQMJuXNaD3VhMFetbn9j2Ad8uFskE0OwcZwO7sZgu1rf32LYHMhDbvPQgAGLbwG5cWgsRtIbVwLc+se0DvkEskDHQk3fj0jN2YzFBrG3vsW0PZL9p4rKvhNFLpxv2P4DOehmZvjVl0AZKvJcIgN5vBIjvSYKXc9MSiOQ+54UQM32uBh4b0DTXgjfTATBihyQ4d6LhR4l8Z44WJmwxFRdEAe2znBF80UHHJ3IAWEQOSdTuhWU5kaYiIoe50Nc3oM2pUOjUACc2SIMzJxp+lCg3Kac2s1RcEAW0f+rR1y5hDR8MAWAROSRRuxeW5USaioice5bnaxfQpvGqqubUASN2SIJzJxL+JZFveuWszSQVbxDdj8pVH78faAMtJB4BiQihEzV6IVlIxKm4kcO8x/sJbc6rHODTbKM1RCMzDxp71Md52D12rZiHCzr3Oac+FBdf+3y1DWRzwAJySGJ2L6zJiTQPETnM9aNjk0JLmKJPA4zXIYnNfEjwl0BOBE2Zi3mICAVDy4WhI6pEC5kcsGgckojNCSsyFs1BAM5N0YWP1ekW68eT0aMDxuqQROZONPagjm+g7Z775JCEGzq3SYfml12lfQKPvwm3NRxHOGJwcSQBi2ThQg5tJu/QJp0lDcGpAc5rkIZmTjT2qE/unE5tZnm4IApo9+8ZfO1KHpIOgEXkkETtXliWE2kqInJupA5eXNradPqsATh1wIgdkuDciYR/SeRU0DLaLabigiigfYaGTTfQdVqAsDlgETkkUbsXluVEmoqIHObEa1lrm93PKw46ABixQxqcOdHwo0S58zro2w2Yihs6t0Nn9JV3YCHxAGhEAHHU4OXIAiJJxYUc5vMRPGhTaWFmdGqAETskwbkTCf+SyKno6f8r7et5bdmR6wBppBHOGGNYkG0JdvDCc4P31Gyyye5UgBJlkm+mUXQFRfsIkBL/fbNYX2txGxiNjRe8y9WsWrWquZvsj8PyN+2Rig2SgOYdWcPZ85T6nnilACAiSsiiTi8qK4k8FYy89FEvmsyhTtmNdrAGYoGFA4+c1WkW5GM5TgIj68Ft123fw5Ps/EgZTyCiScgCTi8qKHg8BQS89BlwLWgRi3R3GUDSBuShhRMPnvTpLdgkqDADf71Dcmc0718h5bN9/oI/02ybojDQ4kbgU54eCSCPXM8E1oNahtaD3i4lxMCPPLhUQB4zQlsj+YE2Hmz4jehZoD33veQWeYLH0I0M36CXPp3VVdFxybhez191nXY0+YBpAqetGBRYj2R1M+J+rG0Qr+p/h+Ym0e5acWZHhLjdUv4lYsku+k3HJRt+jCeBxeuhFDkbqOeR38ObQEvEkJo/UgHr1BpLb9CLoPXHCpmZq6+iL5kZAzCg7GNBp5cATq109Aa9CJIqXuBXq3gBtwI/4Mxln1BgTljklgwpt144GQpRMqQKO+ZCCps8GI8ClIvo46LcSbQfLaXxBlEq2hrU4Letv1IAbgUoF9HHBYQXFrklYw7ccnIyFKJkSI3fgtk4Dh2GHtBqUy68h4sKFwEsGsoFMAfU5aqAfte38ki9AMpF9In43Qtr5Fy0cUiVIsxFk/LolXIh24o/J+Si9bUxb0ZkAGYj+5iu9BLAYsJ0WDwvgorc3YNjqSKEZ8IATEf2CaHuhZVv6ZD6PRenQyFKx7xaPxXTMecLTocClI7o47rCSwCXFj18gygddUWBjm99Qpjktz8QzQC9T0hwLyxzS8exarF+vUOYDimPXS5IhzxCfXC8GoDpyD6mK7240MMKwb5BlA5/eRbpmFNbuTEdClA6ok+oci8sk9NRe4+3qgxROvoV70YvqIcD6VCA0hF9PB3hJYDuj4k36EXQLQ7B8Th0xRLk4/AVSwQYfUKCe2GZf/jXm7laqfeQ1f5KHufhpe9Rjyt76debl7wXlsfWo9krQAPaWUx4APo6pOsbcX8dIm/N8+3ID+kOL0tkudfA1pv+ctYAY38BoG/VlrM6ClJZc1E17ezHTYrborI1zFzKZXWPHLh8w+4E9A2BMciV/8kIrOli46jGHrbe9Je7rv7qTuaAZ3a9U9Ofief18tcJnvc4blLcFpWh2Kv65xgO+PbwCdyWMBWr9c5DrFdEN7F+1NS5rTf9facDvlt9At3iX69nL6KqV1BpKHHcpHTUbr5RrH30kGJ7HzyMe39wGHceWx3G1g1HNfaw9ebgYWzsKda/4VBnZRBVGTyM83jF7z9YGYodx8nDWArS0zAeMVgWw4jBsiKwpouNoxp72Hrz4GFs7C8APJWi7rlxGFsTxMZxk0I/YfNNYu/Kw/iuhYfxXRsO45vH1g1j64ajGnvYerPwMDZ2EHufOYzHfRiz5vWOVFne47hJoZ+w+Uaxt36ykWKfEhdIBy4cxk8MlhXBEx8LrfjiqMYett70F++uvncexndvOYxv+3bF89orD+M8blIaajffKFa+8qdh/Dydh/ETg0XFPg8OY2uG2Id+pGHrzc7D2NhfAIwcxk9rOIytmWLzuEmhn7D5BrHnoS/2vxIYg4bxecRgEYZT9qLIYexNE5tHV+xpa80xaBg7+wuAO4bxbHQYRN4MsXDcpOBP2H2j2FJOGsZn6QcN4wkUGMaz2TCCEt9FrfjiqMYett48aBg7+wuAI4bxWY4HhrE3U2weNyn4E3bfJPZpNIzPs500jM8zBstikAKdOYy96WLjqMYett48aRg7O4h9agzj2ThgGHsTxMZxk1JJ+9P2YSxVbAsO43paGawEOg7jql+weAQ1vp5Z8cVRjT1svRlrS1M/hpM50HIYn1rwKPKqzRSbx00K/oTdN4q1P9JOse3oPIxbrA8XQys4H3jTxcZRjb3R6tF9p1hjfwHQcxjLAzoYxtZMsXncpNBPuPrnXSm2tYOHcbtvHsYtBouKfQoOY2uG2Id+pGFrzfvmYWzsKbbVJ4dxi/WfUtXOw7jR+hBsURmKvfSj2BR7jcLD+IqbicVw8di6YGzdcFRjD1tvFh7Gxv4C4MhhfJWHqMrDwziPmxT6CV/+uW+KlYfJNIz7dfIw7hfe4s0mzQf96jiM46jG3mn16L5TrLG/AMhbvLMfuAz3ZorttD4EW1T2B35EdV3PqW9drI48QvIBXl3PTxOyp0vy4fJxw9Ml+ey5jQR+iNHQt1zeR744Xnff7iUBZRKtDlk8L4TGIxuVpWOrbJ/kUeo+A8w+LjS8sPI1TFKozLOUjWtOd3oXBVBd4y3IZAtdeeATARmA2fA+Icu9AHD6MI8ErXBehBQJArI85/6O3AZgMrJPyHQvpJtzcbVuTysTmh47Dw0J5MChIX8gfeLQMICSYX1Su3kBYDFhMiyeF0GXbCwKjlvlcWkAZiP7hFD3wso5HfpSDbPRx9rO4UXQI3+6n2R9LkvPAQEZgNnwPiHLvQCwmDAbGs6LEH17mH7lay0cGgZgMrJPyHQvpJtzMWTH/kbJWLXaeWgM+U4Zh8aQ75hPCMgATIb3CVnuJQFlwmRYPC+CVuk0cHzcNlCdXAHMRvYJoe6FlW/pmIvGVQc5obsVe/gIUJONeJLt1gJ7GZEBmA7vE7rcCwDFHvemdo2H0iHba9yYjuewkerpUIDSEX1CqHth5ZyOe6xijpiOR769oGxI8cVWIBuPfBeC58cAzIb3CVnuBQAhwmRYNC+C2np5lVke1UaqnwkFMBnZJ2S6F9bNyXiute8uJOM8jvV50ougRyIJtvPQQvYRkQOQjejjusILAIsJ02HxvAhaewVDmuXVd8dToQCmI/uEUPfCyikdpxTrOiqn47YaogDNpfPAbMwDT8FsKEDZsD4pXp1k+7YCyABpNC+E5spZh6H7rcMGqnMrAMmAPi4gvLBuTkaZK7yTx0YZ62PjF0FrX7lkm5fEtSKMiAzAbHif0OVeAFhMmA6L50VQkf1WwPF52Eh1cgUwHdknhLoXVs7pOOf9X+WxcV5Ndmt+EYQjQ75mgh+utTET1iMUnXg5dQLMgoXxIuiSl9vgVN7oIe1qYw6iR4hzF6x2S8Ft9VQTqnXYB1cArd1hk6zO+7vzgngMwDx4nxDlXgAY+ukTCL8ff4eQ0LDR57nQFx+QjHgTktmIPiHUvbByToe83uonpUPqvejnRgmd6wu2ZJN3bpgNbWMyrEeIchcJKA3mwoLBXFT5VKdALiouxVcLs1BxEQ7GrJZTIG+5Oo8I+fDjqZSC9aYNR8R6Ewf3SA5gErxPyHEvABRbPWdiNJ4XQafsCAzZvQ4bn34CFMBcZJ8Q6l5YOadD3oM9hdNxr9ftlA7dXhzSMYfb9WA6FKB0WJ9Ub14A8Hf9CWk8L4LaL3C7esqfaVakXm3MRfQIkeaBRXMm5CXZQzckp7yVO2mZNaHbFrDG1aUWKZ4bAzAT3ickuRcAFhNmwuJ5EbQ23QTH5bJh6uQKYDKyTwh1L6z8/+FzgXxikI89ZB/fmtB1jdu/W1jbBAIQH1YkdOmZCyfzzvHAlZMBK1FdN3r3Pr1U+1BBnWQ7eBKyWNKJR7sp+vEfqEt9yQvVmeI4r5CZc8xs672DPMPr2en1budlsKMe+XXUcz2eHP72w4Ba7HlfP8/3pnV/7farJHjUuP63j6L/tv/9+Prpb75//PU/SLHQeTWv8xb++798iPC51NOOP11S1VmeBbf5A+o/ff/6+MfPv/gmL0BLrZ9/8u2R3tf1+atvP1f5Orw3AH/3r9+KPJzvfYLHnL2fXsfnX36b+ZzLq3Z9/pdv82asHGVI15mVebk678+/+nYLWamffwb27vRPv/08/zlXA/3zj77J3qB1cv7xNzE+pd+0HXVIRNP2rtfz+esV21X6My36XNMeo0gU7ua33/7p+999/O33j9933vshD8VkgS9r5XXD2uV9w9qR1CD9NKbr7q1FXv2s89iblvk9bnv87z2OfjJgJlapfl4n0O4rgKJ/MN27VM2U7VGkIV819Gj+mKx9dfbjFoTbckw/MsiyHpGatVTcqHMeMe/enN2FO456oGbLcf/4j9em773aDpqZ5IDKvGy2Z4YyV+drT175E4R5n9Cv4yRAxJw395HPptbOg+4lAGOaRgmV9dFyeJG7s/mLTiYHppFHE31SgnnZNf3gn32fPwY5cXCWFShtAX1NALP5NG1WbIpW3aTNj7f1yCmsrQnn2QDdmcSspbTH0684z9YUfQ8CEaxZc+zrTP++Mzxvs8fNZ9gh2Qx/XqD71a1gxLxLlzsdOMMKiIxWtdaC95Edidd+3e4lADjDAdX1xiW8rL8WPS44wwZIBiya6JMSzMuuSc/w/9e1d/3VQfvpnum7ul17/7NcB9s1xudvvq0duY/6+Z/yUva7f8+L62/kAjjm9WVe4H5e+9PUPq+Kcq2by+Shj3vnGTzOn77/83T9599+lmXB+bTlxl3mNfjP19V6yscrah5e/+rzrE9m4btaLfMKH9dWX2b8nj9Pb2uD3xgZl1TSrm8XWPtTybzAXkWr3sYF1nvEBXYzsQtsOWQzR/kWYq0FqfmS5tply4DZHDrWl4toDrv1SmDdnIX1uMw6Gz8+qLmoNN7ofKitu7JmUikQoah1BJpRyzqvHHqFAKEECL9u5hgetO5o+Ldm8jtg8Zm1R2/eUywBQjc4N1qbPdx5M+gM8HAGnxcSswSXcv5CZ5aBlwANU1YKnFltBLs1NTa3s8jdb0hlYBFRbiaJ2ps7bwaZAREKnReWoVK12ChIJUAi0J0ew8d1EIM1MwIHLEKz9vjNewomYNFxhrRWe7qr/KtxwMNpfF5IjAq+We7NYu9KCdONmsK7NZPdAYvOrD32m6XeLFT3o4rO4yZX3gwqAzwUs45AN5lWIF02rFyfVWzAS4CuqVrAbK7GujeYjYfyFoCGY53HbZYdzviPjw14JbdpW9Xa05p+q9o0VWexs+FRoQSVWVdWin+SugHCXXU9o+/qy9lObOia1t/jFytwbtbltJWUfgXgRw//qHQDhEwdHrrRTLFq6tHUUMC+6vBUwJtBR1JUrgVc7ZOKDXgBoKPKBdWbBFX7/qWs4vJ59GHbB3yvzs9OZoCnaznzZBlV8VHhofjxyraVyEBsv/3cEgBix2GnUxmGjR6LYMQgXvHF0YdtH/ANYoHMABvEy1n3gaRUfR9InQda2FYiS7HnYV8GbcALAPu9KsOpX/17BNZ0sXn0YdsHfKdYJDPAs7PuEB6kKk/8Zk1sHK9sW4kMxNbOw9gAEKufUoVY/ZQqxPqXVSY2jj5s+4BvEAtkBniyxFmtOIzPWnkY5/HKtpXIQOwo+nZhA0CsPngJhnFRBOOKCG48+rDtA75BLJAp0J8cxqfu3BdUvrNfhBLHK9tWIkux9bh4GBvwAsAvkfq3NMeNPyRrutg8+rDtA75TLJIZUC3+5azgMK5H4WGcxyvbViIDsdW+rd4AENtoAqmtUgSt4m82jz5s+4BvEAtkBowcxrV2/MVYE8TG8cq2lchArH5r+LUDIHbQ1FN90rcIcpWw4oujD9s+4BvEApkBJYdx1b+TCar+8DDO45VtK5GlWPlGloaxAS8AHhzGrRw4jK3pYvPow7YP+E6xSGbAlcO4HTT1tH0N03iNk7aVyEBsKzyMDQCxjaae1mjqaY2mnjz6sO0DvkEskBkAU0/j9UuD9YuGEscr21YiA7Fjm3oMALFj4DBuN0097aapJ48+bPuAbxA7tqmnjZYrqDZo6rEmiB009aRtJbIUe5WDV1AGvACgqUc+j4QfkjVdbB592PYB3ykWyRQ4YOq59LvzoDo6D+M8Xtm2EhmIbdvUYwCIbR2H8dUGDmNrhthGc03aPuAbxLZt6rnamcN47WqAVNvUk8cr21YiA7Hj5mFsAIi9aeq5brqzsWaIjaMP2z7gG8QCmQE9h/HF65cL1i8aShyvbFuJTMRe688U4xYPmsJt9QKKXe+smkA0dYv9EjNJP8LaGodNC9oIkdBcNLrFvK89jOawqC2IIwaP1RHwlYs1i2UUJKjErcbABgj/bVvc2w/gyS3uvRHXX23aZYFqDKSbuP4SsIiwxsBsttjFezasOkLzYeOA/UrvBlG9VRkodasysAEvAU4wKpWqDGTTpQag8YV1MWuuMrABQlcoO5XqDGQz6KjOQFoPpgPBV4MeXzsgEVC1gVKp2kA2IwKqNpDWFr97D8EELDqsOFBkd4ET3Vkz6QzwcLDiwCZGBW81BzZAIngOStqD/h9mfzA2t7PIt4oDGyBEN+fmxjN783m98azefEbeKg6sfQVoGDPw+lgbEUCimv05sjFE0/kD0OjCuph15WHMwKIDoY0qH2UzyKhyktsOpgKxFw1gbAqz79tv9r2Q7142bqpJkNYW+UWDF5uLirNCBQayGVQOWCgXn5FrG7jtKTxwGRD+By5Msuk5DNxoBrsDFt0Dl6XwHEIJWFRY0mYuL3Fw3Dx0bhxYbjeYKGVe5zbRMPD6WNvoQ6KumsVsvOHc1tS4wk5jDr8ukoFF1LD7ib+AaAbVSRON2Q6mApl9m2gYEPZOE42URoCBG83gd8Di6zTRhPcQ27eJ5rpoorkummiiGXQXTTRhPZgOBD/bRMOARPDQZU3+DAh+HtGMCB6aaMLa4n+2iYaBRccZemiiiWbS0UQT1oPpUrBsvEcDmYEZge75Fz56Bf/WcHZramxhp5GHX5fKgBCdlJvJAc5OOq/WtCBOOiMsQEX2baJhQLg7XdZ6p4kmmsHfaaIJa4u8bxMNA4sOhV400UQzyC6aaMx2MBWIfToPYQaE/VlNXQGPg651spVHkk32AHQdHN0t9oeGLzZfwOydaaqJpq+CAzCh3jSpJGNJHTbBN7+nYeAlgBrZw8Bx6kTpTdvnxf8cfwIqVh/YZVPvPty6+t0JA4tOyOxhoAezN9Na9YV3bdqDSpaicq3Wz+UPXRgQflsIKFCGlSbSggnZ9CchAehzHrdu+kDNvTd/QcHAorMY3UAHY7izZtA5YOGYtQdLYlSwVlmwlH3tgESwpu2qt8DjttOhD1bsmD8cCFt9xjSsllA0NTbojsCi0utZ1acJ0XTuM041Wutt7rBSi36qScaSepftV8vASwBaIt5e0FCzF02/agSgP7ab6humd//lMrDo6Jp2l4oTTzSDzgELp9D1lMWo4GtbKDIgEVANwdlEuReLvVAqVTZMvyH12paJd+PcNLi0WyOIGkwLYTeYCERSwcCvHRDum5aJ942lXrMZ/DeWik1ri5yeOfz42IBF17D7yc7OnezkYBoGeu0TzwPlAr+4+ZImLUWkTglMatF07gA0toefSDxQ1fDHBzWFqlBWnoKFMbMZVA5YKIXOCMpQmXTz/rUDwn+hvT9aMO/eDHYHLLoLI6enDD8+NmBRcV74OcSzP4d4+DlEWA+mA7H3tjxkQCKg+/ry4HOIh59DPPgc4qHnDOk3pN7b8vC5qTs9sNrrMxeu3+y2g6lC5nlsTyI24CUALkbWZkrpP5vGn8CKL62LWfMCcQMWHS6eT67CfO5Vmk+u4pzWg+lA8MXTzQZIBPRE4jw6TjfZjAg6TjdpbfFfPN1swKLjDFE15nOv1nxyNee0HkwHgrfnEhsgETwnJe1BuQ+LfVDqc9Kp2p5KbIAQ3ZybGwfKzcPoxkF28xl5eypxlpOnmw14CYAXt1MqfwBDNJ0/AI0urItZ83SzAYuuYXd8aHXuFZtPrujstoOpQGw/SGo/SCjd289mJd/bc4kELDZ67uC+Q2Y/SOTFWaE6zNkMKqrjnNYDqUDmw9PNBgj/g/YPTjfZDPYHpxu3tcgfnm42YFHhdHNiFeaTKzSfWL057QYTpcxzew6xAS8BcKI5T3gO4Q3nPuE5RNppzOf2HGIDFhF1x4nm3Oszn1y/2W0HU4HM7UnEBgh7p0vZ6Y8WzL83g98Bi6/TZfTcnkRswKKjieakZxHZDDp6FpHWg+lA8PY0YgMkgocua/WgiSaaHkEAFuFDF9Pz2SYaBhYdZ4iqMZ97teaTqzmn9WC6FFzrwQOZgZcANNHUinIri60gNeyK2R08kBkQopNygzWZT67XfGIt57QbTAQi+zbRMCDcnS5r8kddyNC3iSYAi67TJTW8h9S+TTS1N+xOE03d3p4k4ME0DPRtomkHTTTYfEmTJhr5+z3wHU3nDkBjC+ti1jTRYFNEPpyVhyaaaIbMhyaasB5IBTLrNtEwIFIr2leaaKIZQitNNGZrMus20TCwqDgv8IbEG0l0YBh8NurbRNP6NtEwINydJpo2UOZgkQMldppowm+I7NtE0zp1p4kmmkHVaaIx28FUKfM66PeJzdfH2iUBBr3sogCDNprOHYDGFtbFrOm3ic1FRROM1EDG8f9sE0wAHgpNMChDZdZtemFA+CvaN5pcohlCG00uZmsy6za1MLCoOC+VppZoBlmlqSWsB9OB2LFNLQxIBIOmlmug2MFSBwodNLWE35A6tqllFfgBA3ofks0go/cpaT2YLqVK+SUawAy8BKDLWT9ogommRxCARhjWxay3CYaBRUcZ6gdNMdFMOppiwnowHQhuNMlgU9gbXdbkpQCc2WgGuwMWXaOLqfkOqY0mmV45M5UmmWgGVaVJJqwHUoHMsU0yDAj/QPtBk0w0g33QJGO2FvnYJhkGFhXnZRzo6mCiA8PgszHeJhnZhI9+qQy8BKBJZhSQaQ3ntqbGFXYac/h1kQwsIupOk0w0g+qgScZsB1OBzEa/UWwKc6ML2mg0yUQzuBtNMmFtkTf6fWJzUdEkMyq+dM9mUFV8aZ/WA6lA5tgmGQaEf6D9TZNMNIP9pknGbC3ysU0yDCwqzsugSSaaQTZokgnrwXQp9i7bJMPASwC6mN0FxFrD2a2psYVdMbttkmFAiA6aZO6DJploBtlBk0xYD6YDqW2bZBiQCBpdzu5Gk0w0I4JGk0xYW/xtm2QYWHScoUaTTDSTjiaZsB5MB4LHzQOZAYngpkvbfdNEE82I4KaJJqwt/nHzYGZA6AZnaNBkE82gGzTZhPVgOhP8B20nXQ7924efy3EP2ZLy/wK99E/+V70ng8qhW5f+vHY96AxcvzTZugKhKjsoopci5YWRaQE/Pt4gIZ+T69pKKc2aFrUKxwkEeUIWYHoxCZtM26zAymNBOjbopVsCoOnaFODqyJZARJSQRZ1eTFcyRTo2aJFr2c2w6loxM9xGO5gD8eDcg0fPCvUv3Y9uRp6IDXnpfgEDDIvUn3huoALAowFIAwYvqiiJPA0bsqgvLRyaRqfstYNuA0jqgDy88OICSKNtclB05y5IxQatnQfOzVVrv+CQyHaEE4hFnC5MU9JEJjZImOdAXuXDw0z2NMUhAUBwJ2ThpRePnzVqLsZFvb7eobU5Qfc8my8p41aQLYGIKCGLOr2YrmSKdGzQIp9TfyOzU3fLTccBJHlAHmB4cQksU//wQgrM6q4xh+4H+watDQwO86XQBIpswia+1nbhsm/B5hyhFSQaNXEHblXXj4836IXxmPpTS/yCnwQ8HQCpetnyVPcf84g3mbafwioT8PP6SfuOCgytPRVOLVy89sN59M+fK7X7qrJs7R+61UF/0sva3eBWwP4ENHs0rfn5Bi1q83xU2ZiwyO5ypRDgsYGbQ2sxG4SAc7NGy4VRNdlFSVNBCIYzf/gsYl4ZLpKpwPr7pyJbzkMfuesd6CWBQ3cjfINeCE0O+Y4oHc8oakVyBSil0ccUuBPWyJmQmjWVMqEIZkL+ovfCTMhGHxcGowBlwvuEJPeSwCKiTCR3QmsDe3RcZHggedGywRig93EF5oQ1UiZO2bLrxEwYApmQn/JTIRNyQSgNgjEAMxF9XFJ4CUCJMBPAndCQra/A8fz9YyK0jXmIHi7IPLBAToN8j1ooDYpgGqSi1IlpkGplODoNoDR4n9DjXhKoWkD7DaI0yFeomIW6thYG7mp7DUN80ccFqA9WyHmQPUkpDQvALIyZPUzCvAGhgWkAJcH7hBpzku37F746JG8iXfZ2Ba9zON94ZTKAUhB9PHpzQvIoBXUOXJs/GXkh0sR/8lTZRQ5C0TbmwHu4nHCRwKmz1xv0IqjopBd+j7UdJ1ArgFnIPh6+OWGBnAbZcWpQGhTBNMieWDgYquyZRXlQgBLhfUKSe0lgaHWTN4gyITtkdcyE7KCF12cDKBPRxxWYE9bImZiLt4N+FIZgJuaKpuG0WeeKpuPgNIAy4X1CkntJYBFRJpI7IC1TBI7npNPwwmQAZSL6mAJ3whopE002faNp05AXIqtaRBK1cuui0YMxADMRfVxSeEmg2Tp7h14EVVmpouN55CTyBWAmso8rMCeskTPRVmmGrzcEM3GduqgNoqvKjQ4EowBlwvuEJPcSgBJRJpI7oVu2gQfHrcsdHZArQJmIPq7JnLBGzoR850kzpyGYiXknc+DMKXXraIAaQJnwPiHJvSSwiCgTyZ3QekIGfovUJkLuotXGMT7v4wLUByukPFxzCHdMgwKQhetcd7HJIn8KeOLgNACzEH1cTngJYPFgEpI5kSGb0IPbOaYfXD4YgEnIPi7InJBATsIcvRfNnYZgGq5mt1bOc+H0dV2dE3DhBTGME1j+SX5SJjTPJ86a1xzJD16eDSD90ccDNycsjRMwb1IrzZqGYALutUsuED3yKBSDUYDS4H1CkntJYMQWGAxRJubQfXDWvO5qt5JOrgBlIvq4AnPCGm1Dj6H3/fJIuei0uUErnlufIMiTZt+WpBMwr3vrGUw/Ty0bNKGqD6XMDwBzKMrbdACG3BiTkUJrB4xDn+ZIUYB16xjkZdVXgfBK9/tN2XD/Sj8IPLKZ8ptMTcdc6bZVR02+JmgrHRu0tqo4rNraPAuH+JInJFf2QaD5lTKhqtcIecqkwHqdBl6l/eNjR4R5TvtrHLjNXBZoTbd66nVmXFbCTVnES0KXzpRpZNFuEnVHhdKo19c7tDayuDwg9bW2qujABoCnAiCNGrwsWUBkqdiQxVx0uIfN8ctFPr2dtI54ZOHBY2d9mgfZiYfTwIjE0h7d1Ts8zYuPeTKuBCKchCzi9KKKgseTQMDi7ev5VxhUfQaVHgMI1oQssvBhobM6213j1KddkIQNWhtfVPZ0N853tCOYQCze8KB6ksMzwIiQjkcfobmN3CJW9JlA0CZkkaUTD53V6VYNc5RelbKwQ7KHwhzcD/qSfS/Ml7IB4BEBpFGDlyULiCwVG7KYm1z9wMZeo6XTAJI4IA8unHj4LNE25zjkcRGlYoPWzhll8zWv7gMHHwARUUIWdXpRWUnkqWBEmOcgHnBtlaXyhVccAII4IQsunXj4LFFTMcfsxVPGDklAUgyLfEkxrIZsCURECVnU6UVlJZGngpHFbEUI3GbYW7RwmkAQJ+TBhRMPnyXqZhBzXi+DUrFDskPDHOsVpwxZIw8cgwB4RABp1OBlyQIiS8WGLOZLCx6EzSoEh04DCOKELLh0YuFvEjUVUhCaZ88dWrtzVM+z+ZL65QPZEoiIErKo04vKSiJPBSOL+filgcn6y1xwGe1gDcQDcwceOavTLMx7wJOTwIhEMm8cL5yFbakMVAlENAlZwOlFBQWPp4CAxbvKK4HFKXfP6DKApA3IQwsnHjzp0w0m5I8NOQ07tHbz8BW0udJq38mVbQ8nEY0YXOgHWsliWdgQoS2+dnYbK/sSThMI3oQstHRisW/6NA/zbvDk+XOHJKCrk+kEhq3/nS2BiCghizq9qKwk8lQwspir1m8Jm4OXqQAk8cHLXXDi4bNETYX8HTqvKndIApI/XldI7zO67FZDeZa/E4MzIRElpPcZYKSy0qungpEXBWM2l1Qag1Qk4PcZAFkqErBoN4m6Z0Wx9adM8+sZ3YbIVhJlVT8S6FzvyEbxpbID53pGHkaypYQ8i1nQvD18fsL2kNcZ6UNKnqz79x1a1FZdSWoGySv4iO6tnV7mBRp5rCmrh/LTLk+T0IatcfolT0y+3iGJpfkyVaEypstVyav3NUshcMokIdEEdD3yERV4uW6Zw4FJgR8fb9Ai77YYCbNqU3I4diDJE7IAw4tL2GRqOuQ17Mikfr1DEtGwalm9tfWCZEg5h8UmX/YtIHoccof7A/3UZz2zli88bSpxoNpUAkYMLfKi1175plDER9tjOeXxW4wT9rIkTOCyidtGyqZRt8Q4Bs0LX++Q7FNxPEZnvzX5fJPWLQD4xQsg/VWDl/WzByK7VGzIYr5oHr2PKs/n0WkAQZyQBZdOLPxNoqailX0i3aG1O8m5+ZJTgjdgAERECVnU6UVlJZGnghFhlhEEV9pbL9vgNIEgTsiCSycefnmfS+85dA6+AdshCUjfGoGvcfMCBoCIKCGLOr2orCTyVDCymKsQgs3pl353GkASB+TBhRMPnyXqlhvyhT/PpTu09jg5eV5+ZAMeXMQA4BEBpFGDlyULiCwVGyLMUpC9o023qcqdJhDECVlw6cTC3yRqKubl9uAbsB2SgOYVqZGvebmhxAMQESVkUacXlZVEngpGFvOqCQ42h02u4TSAJA7IgwsnHj5L1FTIt858A7ZDEpB8Ao03YI98kY2LGAAiooQs6vSispLIU8HIYr6kMj3YtF8K+fR20AZikaUHi33Tp/t4yMcCD+bhDZItNuZAbwBN4PIkLzYELCCEVszoRTQhkeZhR4RZPuotYCPf9BZ0mkAQJ2TBpRMPnyVqKuaIHYVTsUES0Fwtkiu58X2QLIEIKCELOpyoqKTxRDCyeKssB8HmlE+R0GcAyRuQxxZOPHoWqImQsgGVE7FBa9uVIktr8DXvfjntCURECVnU6UVlJZGnghFhljoGDWyktkBDpwkEcUIWXDrx8Fmi7hYyh+ygefQNkm085pK9gOkEhudZ2QDwiADSqMHLkgVElooNWcynLWnd5pBPNdFpAEkckAcXTjx8lqipaDc94/t6hySg9my+5m3Mg4kHICJKyKJOLyoriTwVjCzmS17wgs3aah+dBhDECVlw6cTC3yRqKuag5ad3b5AEdDfPs/mSUqsXsiUQESVkUacXlZVEngpGFvMh77LTZk5ABa8/AARxQh5cOPHwy9sjvFOK6lWeP3ZINgmRt6zoSwr3PZh4ADwigDRq8LJkAZGlYkMWc0ODWLS7xwCSNSCPrFHgLE6TcPG0QW0J4jo9t+ZFyrtjsgGIQBKyYNOLqrloysCmcMrXPjDHyPtsvO9CICgTsrDSiQe+Txan7Pt5svwNkmjWDp3g576R5r45jvvGQMNWhaR3V87IojvlTxLA5vA7BfcZQJIG5FGFEw+adenWLVIPm2eIHVpbxxx013ZKUQZKNQAeEUAaNXhZsoDIUrEhwlykSjHarL/FAKcJBHFCFlw6sfA3iZoK2f7w4lRskAQk1RnI19U9z8aWQESUkEWdXlRWEnkqGFnMBe+0TvlUlRaoAARxQh5coTutN4mainv8cvBkuUMS0H3LIyXw9RyeZ2NLICJKyKJOLyoriTwVjCzmhjcc5/pW9SanAQRxQhZcOrHwN4m6QYxsnMuT5Q7J3i3nSXdtE2juS9kA8IgA0qjBy5IFRJaKDRHmcv9ywGW1zbGOl91sB20gFll68NhZn+bhuqjX1zsk0cyBfpKv65bPioEtgQgoIYs5vaimJPI8MLKYT7zlOOW9+lXIaQBJHJAHd9L9xJtETYW8jeMpc4ckIPlIDl09p7sysgQioIQs6HCiopLGE8GI8N6D7rTkS1W60wIgeBOy2NKJRb8J1B1o5C+z+U5rh2RzGNnRHX1JZQkcEtn2eBLRkMHF0gQslocNWbQH3m2c8kr9wgsPAMGbkId20K3Emz7NwxyvF0+iOyQBzWH+4CR69UM+8AO2BCKihCzq9KKykshTwchijlW52ZzyySQ6DSCIE7Lg0omFv0nUVDyF7hq+3iEJ6KlkekopCrq/BSAiSsiiTi8qK4k8FYwI8337LZPa3LEoN6cJBHFCFlw68fBZom5uc17U6+sdkl1n5lB/cEKWghUFVy8AeEQAadTgZckCIkvFhizmuUK/0ebk2ywAkvjk2yxw4uGzRE3F9dAdxNc7JAH1tbk++Oon398CEBElZFGnF5WVRJ4KRoT5ojW6lCToOHcAELwJWWzhw4LfBGoi5pDlxcSGSDBznD84c/RneI6NKoEIJyELOb2opuDxLBCweOd6vaDFIe++0WUASRuQhxZOPHjSpzvonMOtPA07JFvbrJ1a09NYYSVVtj2aRDTg9LAEAYflYEMWaadbryEbzzfyWfclLUAWWTqx0Dd1moW+/g6fsrBBElCv8ocm4KtfnmFjSyAiSsiiTi8qK4k8FYwI8xzADS6v44qFujlNIIgTsuDSiYfPEjUVUteLb712SAKSLSvJ13O7L2NLICJKyKJOLyoriTwVjCzmhncgs114xQpAEhde+YITD58l6qY8c8zePIHukOyUM3np1uuu1fOsbAB4RABp1OBlyQIiS8WGCPMcynAHMttdPgAApwkEcUIWXDqx8DeJmgrZP5ivljskAcmWxzhr3LK7IK5cAIiIErKo04vKSiJPBSOL+aRbr1u2P37IaQBJfNCfK6ATD58lSir+109//yGPMM6f/vdH+b2bF5335Yt12ffiWYmTT1zhrLywl38FIzT/9lGO5cj+9+Prp7/5/vHX/zCbUu21lvbT93/5EPrzUMbyU5tnTyqh3NcvZS6Dvn99/OPn//j1Nykgdx7j87ff5AOneWn4/NW3n6t8L9Lb5+/+VdBr9P75R9/krz3nvdbnn3+Dwz9P+z7O+/Ov5vFHis1+/lnY/Mm3R0K4rs8//fbz/Kds8q+OSp3mfyzkc1E0+03bUcc1ueWhT72ez1+vKK7Sn2kxL0fjGOXzL9PNb7/90/e/+5h95hlanwqsrcO+//NU9RcS4NVqM8cziS7qGucEZbV+Tz4RsLzI7krXOsHycfNzq5//utj6Vc7P3/37t/VRTb1FyrQfc6X9+d+W/DmR3J+/ES3Xddyf//1Xy6e8/SvrmY1UHz8iNCkGfk+l/3P1+tvvH38///s/Br9f0A0KZW5kc3RyZWFtCmVuZG9iagoxNTEgMCBvYmoKPDwKL0xlbmd0aCAxNzExMQovVHlwZSAvWE9iamVjdAovU3VidHlwZSAvRm9ybQovRm9ybVR5cGUgMQovUFRFWC5GaWxlTmFtZSAoLi9maWd1cmVzL3JpZ2h0LXRvLXdpdGhkcmF3LnBkZikKL1BURVguUGFnZU51bWJlciAxCi9QVEVYLkluZm9EaWN0IDI0OCAwIFIKL0JCb3ggWzAgMCAxMTA0IDQyM10KL1Jlc291cmNlcyA8PAovUHJvY1NldCBbL1BERiAvVGV4dF0KL0V4dEdTdGF0ZSA8PAovUjcgMjQ5IDAgUgo+PgovRm9udCA8PAovUjEwIDI1MCAwIFIKL1I4IDI1MSAwIFIKPj4KPj4KL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp4nNV9S49mOXIdJE2PpksNSS1rZMnPXGYZqM98P7YGDAOzkzyAF5ZXaUuCcGuAGS/8980g43HiZvZU1vQsbDQalTwkI+LEjctL8uPj10/hEZ8C/cf/vnz+8B//rj/94//+8OsPOT9aiO0p5xweMz/FGEJ8tKfRKSM9/eZ/Pf23p1996I8wynj6Px/i0y/W///8Yct7+rv/8uHXT/ERQi1pA5+WkFnqED15POKM5elTzrU9cnr6/CGG2dOyRKHLoJJSerS4IK34BmQV/+nDf3362w9/+/s072sU//pDIVGf6Z/UJ5Vd/svNJ8IuT1787cbU9KhxKfzUHrPl6nwlEPgqjfWgMqnRim9AVlF89dVGfI34dwfU/xNhE5/ov9/844fW0iPPQUav0nmpE6TEOR89HzkLKG8gUut6Jef68A//4QtUWx2PkQZSVehreb2SJVTP67CI/no5bf/N/7x8fvpPv1ytwYrf9BhlmfzLf6DSy8be+pJELUYaj0qPLtfyGFTk84f//vwHHz/VR2wzlec//BjDI+denv/o46f1Z0tzAviTj//jl7/48CkmysgrjPoj1+WkX/7PJeabU6OO8fxTklhGjuX5jz+m9ohh9Oefrfz6mDXl528/hkfKIef5/Pe/+khoinmpJOn/+Zcf/j99HS0Ge3usCk+rSKrL9Z8VSX20E01LzghhvIFIreuVnPfE4Ho347IKqCr0tbxeyfr9xGBZrcdmRe/VCnGJwRU8JZas4dYpBusjt96ji8EVWmHFwfOffFzsYxq1xefvTsSl9eff/8b+FgmzP//pqrfqFyz6ZyS11zbor/ZYMVUwNv8UA1Jaw9VoLFdZaxi/tiGU9/7zO1s9be3Py9DHbovDHP2R3q391RP//M541+AOndjmnMJpVgVIJCTv90eA87UI69/Voqb1nMldoQ1NvKzCbcU25lZXV5Jb9i5eSBhrvwBIXH+LyylTg36UcYJqH1M0V6hwXcfsZVFWKnlbZ2TjDAQY2Tj210E0xPUyH/vnejiSNLqWX11tTh7pu3gF/RcAk/kd75XE9S1hdDVXyExkz7KZbtrW1W3dZwPCDrYLgIYui2G9U0D3JIGu5h9+UluSQ71zgKP/AkD8c8TV6dSdpBHWfKEjzwbZIeHQiwbzAVLTYGagcDBvwkHDbVvAyc1gYG49hQs+bJZtdFn7BUDDYA6988M+yk7yRWNP84WMPBvkBnTXtzxpOB+gFA1nBjBkVjJAOEuS6UJuPYUTBLPIVrqi/QLAXtaVaFz7qJrqLDZF8oVKBu4i25GNwQVzGi2ezp4BAYJ5fUcwuiQpZC132651JRnl2TC3ox3IRntVVyKjKk4CWckXKslxj+EWyGl1FV0gr15FcIFs342joWuobQs4KWS7C0Sry8kRXCCLdiM7ctA2fyUihLEkjazmMxWp65gh2V6ahnF5Sm1qI3mSDUO4zQJfI0kKUc09zLSuJP3XSjRfAHQL4V4DfAskaUQtP7m6jhUTJVPbDnGlubrJHWjGgm5qGjGHpkVUw1zmJXUlWTV4D3A0XwA0C97WulN1kkbT8gvUBEZGsY6kYUvJrA3iSSZ+dJti1cDYejm5rd6BpfnHZq0tyaJBe4Ch/RYBigVtHZUfzlE21EVsjOYXqAmcgGQIGK6lJgzX4oOilIHhykkjqflkpNY9ieSDlfUCweBexBoKhisngaLmF6gLjIxiiR1DNbeJoZqlj3fkZo2PHS7Z4ufYpfltQN2TmBqoQ7VekkwBvyAlRVTDSaNn+QXqAhujl3PDME1jYJgm6dMduUmDYevlpNFLGGZa9ySGhuhQrZcmB7bY2fXmJGn0LL9AXWBj9Na7QZ7Y9Oo2MWgzJ0DBIE0h4beEk0BR8jcrqXsS7jvDmi9NVgzQVJtTU7UzzWZofoG6wIgpbgqxRw3RAyRt5ARI5qTooyda9BzbNJ/s1ponkTFIWe+lyYJBGnt1anr1QWr5TEKeA3JCmmHa8OwAxYZnB8DACBoYW3/I+sE7jYLmk+1acydstLGTM2CwhhmxgxMmDrwk+cLxZ7lMISJnluxIhu4CNs4WXMDGqV3/Qgl8QSWpJC1/G2t1Odlu3xnWfgEw8VsRYsCwDVE7zd3lVl8XmQHZOFPVwG1k7uja7AnQNHBXAl9VSRrZ4QLQ6kpSxxjMPmmvQwAc8K4kDrkkyWQht/q6yIzJHirFBmQb6NMGZAxkDd+VSPBlkaSR1fxju9aVpA3IDvtiAzIGKnR1VhJHWJIUspbLVKQuMkOyvUUN4wNEG44xkCyMu0bOIQtxteehNJ/Z6YCDk/47JNovADKE8UoWp64VCGPIZSpSF5kh2danD+OWow/j5oOlJRy9S9Loav6xXmtz0kYZDPTpA7kNfE1XEodckhS6lntM1brIDenWOXwg1xp8IFft/m+61cdWhdja9mn+sV5rc9LGGgzM4UO5zglfmtgCjrIk+aKtjuUznYn8WbojHKsP5tK0mRSg4dtfGrzIpdkXYdtXfDBa3QCy7UVn7RcAHb44KzkwmDlpdC2/+drIDemWbIOzThrysOEZAxnDOQ94lfNIPpgtd1tvdTlpo48A2i8AcJpqJW0IJgkja7nN10VmTPZQqTZMO0CwgRoDER2WNXosAWQDDuSgLidvXyzWfgGQMZTptyxTVrWZY1M0l6lIXWSGZNeoXwP5AEkbSgFksLA1JA0WS2gPDnK37VaXk9EHMms3sqnj7EikGfGpyrp2vNkUzT2Gal1khmTXB9+HcczTh3H0wRKzjeclYWQtN/q6EWRbILD2CwD3msZpQzRJGFnL7b4uMnNkQ9EZwQ0Em28WoGIYB4ysAJG1rbPc6OtGkA1kj3YgGzp+cWg2XJVxAshqbvd1kRmSDSm7MJ40kkjDyE7qCKYqZCfFSurSXklS6UJ+9LUjSDe6rP8CoGIg02y4BjInjK7ldl8XuTHdQdaVY91nBSLQPYCnu3pHMzWly0mja/mbX/R0442u6L8M0PpbXDkVRF2B+tscyz90tDaye/nwDx9Wo1ASrY8JT7/4wm9+ezZ2JFpDsIZx6fzsLVAa8zGbzNkyNB6dOK6+XcsbaI9MT6OlRyoG7G7G0lyxTJ2P0VCKAVsTVVojq9bMnguhEkipCc6L9EDlDPCPgdtAKyNEVYpnfkJFia53Mw7vjvVCnZUFANWH88Z6ydIkIK9nYIDzhpRR8izE0lvPdoZAx5rLQev1HuCMtHL6xCdxAHSGlVGaIsXzZmf0RyAw2m9gCq3XbZxgNmiRbiCL5jz2CyHeYAC9oWWEl0oxYGtCd0T7VcygynEogmnU6pQfAN1hZZSoSPHMvTtoumEM5w6a6mjJuSOswCsR3BEyRgalti38tE6u0NHKBmwF6AU243JQ5vhjL4RZHuiEk36BENYSSk5EeLY3F6xvzXqrwAVpT4K4iEh7mgQiIu1pFLBHAHCElWFSJkWBo8n54tjjfLHGugEbh7Da6+KccQDnDS0jRFWKZ+7ckVZDTO8VuoOmSbKLiEQTKTGBO2iiZUZwBwPoDi0j7FWKAVsTuEPsuRy0WhVoHhJNvCR8FDsNzrASylJEeNreF6PkR/Wh0ef6og3ni77CLnTwRV9dtdbAHgbQF1bmhDdIUWBrQl+wPZeDKoehOHkNlSMqZwC9YWWUqEjxzL07aJ6jcGis7wwtnOlxvWIyESpQIC3gjjBpaY+2VQI4d2gZYa9SFNiaoMEVey4HpUcHb/RlRHS6D4DesDLKk4V43uwMptlWXyUV5wyalJnDOYOmbfoAWW0FXu1gEAPoDCvDrEyKAlsTOoPtQWfQvE3D2GgjUtSA8gOgN6yMUFApnrl3R53tkZw3aM5m+tCgWZ0zjcPeqKXQ+24GMbAN4vi1MkzLpCjQ9RcZgbY5l0MGRxg7gyZ5htN9gBeIeCujNEWK433zBXWfq3NGIfdO5wya8ykYGoUsw9BgAJ1hZZiFSVFga3LOOPY4b1CXHluJPQeEyhlw3tAySlSkeObeHYXWUztv0PxPK84beYVdwdDIgxYmQjPCAHrDyjB5k6LA1oRv1zHnckim1X/g5bw6EtiEMYDOsDJKU6Q43t4XuQx6u5wzaH7Ih0ai+Uf8Oq1+Ar3vZhAD6Awrw7RMijjjaEJnsD3ojVwjh5h4uSYOMXkSB0BvWBlhpVI8c++ORAtozurMNh/b6DioH3shsjoJBZ0RbaHZAMA5Q8uIM1SKAkP70AIday4HDVIKgml+2Sk/ADrDyihNkeJ5szMOzzjWJ7ehL2Jerxe6Iq6YCxPkxJzoZTdrGEBXWBnmZFIUID3oCbblctDqImBY0JRTxLBgAD1hZYSjCHGcvR9CfPCidUZCzTSwuhAJPBJmR4Qy6T03YxiAIRKUYUomRYGsgzqhfaxxngire4AxQes+Iypn4AUi3coISxHiWDtPhBWiPMtzkEjTUimCJ+Js4wHv3Up3esf1EQgAjoAyh4AJkfRRg1HEtlwIpdUxGPDJCCnS8AoewgHQD1aGOaoQxxn9EGduMp/TV+mFjBVXPJ2jSOPZHHbEGMWNfwVAR1gZJm5SFOgym6POOdZcDho8DyMezpMjS57CAcATUEZYihDHmqf9mGVd39fuPLHiimdyFMkP54gVaRn9sNPODVJCSIsETVcdygl0DLkcVHn+RcSu0a8LRQbQCVpGCbIQT9g5oXdb6spIyjKDo0jkCRxW1FecJRjhCABdXyjDlEyKAlkmcBTqtvRVocxhxZ7oa+BbMRwYQE9oGWXJQjxr54k2hszeCEIzggk90fJWoGHVMgxtdgpdwLlMxOoKcMQjf7YB+bcZ+AMjUmlhAmrdaWQvJcRokeCJevKhPYYLg1qHTNso0nige8jXFU4TBr4CoAusDNMxIQoMHbIJ5WOM80IYPN0iXlhjXBeCDLxYS6dFlCPL8JydH+qKyTrRD2X/PIF+KDT3B0FQ6OcNeDtOGr2gJTiETYICVUdqDLEll4NgzmylOs7CcBr4SwGl1p7uPB33UqJM0JC9c0GZJv2G/DTBUKC3VrXkMXnuhekzgPytDDMxIQpkmZ9RnxxzLgcl/qKIY0vlaBLfHwC8oEWUJcvwrHXrziFZp0zOKBSjTM4oRFN+4OEcuhvPCuBcoWWEuQhR4ChCV7A56IrcwgOmyVY68pSh6D7Aiz1fLaL2s4wba++K1Bu9ReiKRPN9PioSzfh1c0VKxQ1mBYD+LJRhTirEgK4DM4GOOZeDBkeXCO7TzboIAL7QIkaThdx4e2fEWXhiRhGa7CvOF5Gm+7L5Iq6IyzBgEQB9YWX4eaoQA7YijKVjzeWQ+sBP4+p8uikXAcATWsQ4Hhme880PtF7MBwX16Nt0jqAJkgL9j7DiDYexAqAjrAxTUiEGbEXOEccc5wnatoBBEWkRGypnAF0hRYwmC7nx9s4IaTxcWzFpkq+4tmKueCvQA5mdzLIhi6TBFVDkcDIZArAedMUxBj0RcuTQEhevMSxOtggAntAiylGEeNK6tWYSx7K+p/LxZGh1AnNsspdoQ3E+YrCmYsb1jgf7nEoaPWFFmLjKEID1gCfEmguh1QFo8H7MNWYtNl7ipPlB85WhCLhRfuG9rm09j8QHUHzxB3b5bdp+YGfnChQD7ZY6P2gvyR2Bs7OfTFWo8XSASlm9jAKTtALsH0H2OwRlyh68gRQFTJNCYo1KEXtvnF7OaRBfcMRq2FZLp8/QRuhjeTnw/BX1D7oPqFs92W+sW+lr3/ti0xnf7FTIskq2rmYlvQFw+cvV3pvnv7hzfSUjNdqh0tZ14pzy4RyfVic30MZ1+vyHaocnrGcXR260c319/Ert8/mPPq5wHzO15598/DRo+/6g8xFWH37k9fd8/ikVbSO25z/+OOnIk7YPSKD6bW9C35JGhoJ//6uPn3J9pJnG8598rHnZFjPtZt/yc6UCVLYtrbQHfpWtHQ9VUKeuV4LW0eRGE7Zn8JzL3jTKCD2Z3BFZ6bk3pa5xB6Zpr4ysZDnIeqa6H0+QzouXsix14mXZR6ukX8QwAa4Ps3QEVszlR1OBmiy8WooBMeoSQKxmcULq5ocXipAV/LGst/+3B/z6e71R9Ma2NVyPp8OdVm9YgU0/tsc0iPiuLvMCJrX51YCy2kI6lmN78UB7eRn/fKXQKPurznLPorC9Woo0S/LFrBOIHJHICINmCfuHAJEK6aOYxDAk5l0GCQWVKyRfeUaa1R/16s1a10vyROdh0Lqo/eb96X7z8no36vOffRyPHmrPz3++/pqhr9fhz7/7WKmF7/35+/OSjFnXO0ovWUujPP8FvURxlLnewdVhWWPJRIeQUH4ufb9w9PvOzHG9j/QW0U8pbTuRfhyWc0/4Xc+T3nV6w1sJM/na9DKuAeR6xemPUfdJKzSIyPGH6n9jNv/046dVpLbU0dKf2Zs9ZzpLChNvNVSg8buowJk0Wcnz5p0DFiZtxUiafKHiZ9mh5o9TXGqfpJzmoEAKqu4AcS85VXGxcf2jLvKyPzVH84+xWhvZUUAJRDvNIhJOsszegNNysAbaGdbNAk4aYcsfp7jU5mRQ/xwgJFXHgHiI16hOVMdJIKz5TCcgf5buCA9ewypAzvx1M6DwI9saaLdfNQs4aYQtf5ziBR84SwfCo6g6BsRDx38j8iM7/h28aFf9r/lMR2ojOyS8mxEkXGSTjAENQ7rEgSHNSSNs+eMUbxjSRbbJqAda8yFNnSsI6dwShjQnjbDlM52K/Fk6EqYdvi6ky+SNFAYMDOniY6xAjB3Cmn8Yam1Odn1CByjDh3QpDUOa5mJQXak+pC2f6bhXmqUj4ZqDD+nahw/peg4cEA1Vg+bs3RjJh7Tlj1M84ANn6UaY9RvhmgaGNE3BQUhz0ghb/jFWayM7JNxi8iHdWvAh3TRozu6cVjCkOWmELX+c4glDuskGRgVi8iHdYsSQbudcFlUXhg9py2c67pVm6Y7w5L1BAvSSfUj3c1iIaOg+xjrE2NlfpvnjFC/4wFk6EJ5V1TGQMKTbjKiOk0BY85mOe6VZOhKm8zNcSI9UfEiPcxiMaBgaNNsCThphyx+neMMHztKNMOu/ACgY0vunFPBvzz6kLZ/pFAxplo6ERx0+pGdoPqSnBs3ZKBoDhjQnjbDlb/utNiebD2nWfwHQMaTpVzMIaU4aYctnOu6VZulImJbku5CeY/qQnucwJyXsY2xCjB3Cmn8Yau2THNOHNOs3wvRjKYT0zN2py92HtOUfY7N7pVk6EE50thGGdAo9uJBOQfuKe+t60KA5O5t7cSEN+eMUx56mSFfCov8CIEBIp6B9xaMuThfSkM90AoS0SEfCtD6hI+FYkwvpBRQI6UTnS1lIS9IIW/44xQuEtEg3wqz/AiBDSO/1EqguWNf9mKP5TAdfaZHuCI/uQjqlXF1IL6BBSK8kxpgkjbDlj1Mce5oiHQiP7kJ6AQVCei+NAXWcBMKaz3TwlRbpSJgWIbmQzrH5kM4aNOdMDQ2abUFOwYe05W/7rTYnmw9p1n8BIA47/tO+4vFvqz6kk+tLQm1kh4RpCZoL6Tz98DCVgMPDVHyMleCHh5A/TnEcHop0I8z6jXAuODzcK+JAXS7Dh7TlH+uLe6VZOhLeKxCRcBnRh3QZODxcSfxOSBIID/fSFtfTFOlGmPVfAODwMJWEXXdJGmHLZzo4PBTpSLhGPzxMtfnh4QIqhnRtODyUpBG2/HGKVwzp2vzwUPRfAGQM6RqTUxet0TvmRBwPQm1k5wjP7kO6FT88XAAOD1fSxVgrfngI+eMUx+GhSAfCs/uQrhOHhyuJXXdJAmHNZzrulWbpSJjOGnAh3ZMfHi5AguacK6ZBsy3oOfiQtvxtv9XmpB8eiv4LAHHY8V/HrrskjbDlMx33SrN0JNybHx6mEfzwMA0dgJwT43yMjeiHh5A/TvGIIT2CHx6KfiPc68SQ7hW77pI0wpZ/6FT3SrN0JEw7TVxIj2nNJgM4PKQpQvxOjGnfiUN4upfWanPSeqIHKNmH9Cg4PFxJ7LpL0ghbPtPB4aFIR8IkyIX07H54mKYGzTkAseM0oiSNsOWPUxxHiyLdCLP+C4CCIU1GQEhz0ghbPtNxrzRLB8I5BD88zKH64eECOoR0Di7GJKmEIX+c4h0euEhXwqL/AqBCSK9kcepCcSEN+UwHX2mR7giP6UI6x9xdSC8Ah4c5FpxGlKQRtvxtv9XmZHchLfqB8MDh4Upi112SQFjzmQ4OD0U6EqaTuTCkc4p+eJiTBs3WkBJOI0rSCFv+OMVxtCjSjTDrvwAIENKrK4pdd0ka4ej6klAb2SFhmih3IZ2mn4hfAPa0VhJ785IEwjM7hhMbbZFuhFn/BUDEkKaZewhpThphy2c6+EqL9K/cfz8HHXG+163QT07bOwbR1k+yF5BO22UWMOlfAgb9tDYHnSgwDVhW06/qY7oye28kSDGg7EUegBxrLgdV2iYEclN+BKf7ACRH7ZMyRpOl3HjvQFEwrS9sG84Z+yS/4rxBu9lzBW8kmsZsYBED6A0rw7xUigHtrMAC6NhzOag/Sgd30LmFySk/ALpDyxhRlnJjfnPH+v5OHxv0e2/0wUEnHRTwRl6f0YHPhwH0hpVhWiLE0luPc8axxjljNW81oTPG4BATZxzAOUPKKE2RcuPtnZHXt3l254yS0vkdHKFCGzBNW6FjBCpYxAB6w8owL5ViQOIfvs1Dx57LQYkWOIKbV+OYUTkD6A4tY0RZyo25dwf9lh6Sc0ddH9viY6OuwFuKTRsta5hg0EmjM7QEk1IRBtSzjBTcc4y5HFQ4wsTJtNwCQ4MB9IWWMZYs5Ubb+6Lmefb+ALS+w2esB9B4dHxR6gqziE+HAecNLSPsRYoBnb8XBh17Lgc1WpAKgnPlEBPlB0B3aBkjylJuzL07WuJrHABaIutw7mhL8cTQ2Hd6YGwwgO6wMsxLpShwNKE72J7LQbQyCtzRaMmDU34AdIeWMaIs5cbcu6OHvewT3dHpQhUfHX1FWsjgjl4rvfJmEQPoDivDvFSKAelsQgDo2HM5KHGUieCwF6KC8sArU8FAKWNEWcqN+c0dq8PafHSMXM6WIIQaraoxbWP1ows+IAbQHVaGeakUA8rZEwTcjz3OHYOWJIM3RuIgE28cwHlDyhjPI+TG2zuD/mjNOWPSXGxyzpg8W6vKJs/mqkFT53vVaCvDrFSKAVsTOoPtuRzU6WgS8HKrHGPyJA6A3tAyRpSl3Jh7d8y6txCAO1JYURZdbCS63CZ3c8cCEr3zapEA4A4oc3iZFAPC2b4GHjr2oDtmmRxj4ucy6OAaeBYHQHdoGSUqUm7MnTtSyPksgwdopLOpFKH8KAndMSq98+COAzh3aBlhL1IMSGdfKUDHnstBe3sLCM6Bo0yUHwDcYWWMKEu5MffuWOOFh+txpNgK9WsvB+3Fw6aMxoujg0EMoDesDNNSKQYU6VQrtM25HFJoaTTIpVWDGJgMoDO0jNFkKZ73zRdznm0zBqXSabx1OWjQxmVTllbczQQGMYDOsDJMS6UY0HWwJ9SPPc4bs3GIiTdmpSEXeOMAzhtSxoiylBtz7w5au5Wmc8caiJ/DCQBaYTYxNvIKs4ixwQC6w8owL5WiwNGE7mB7LgcF/haJn2nBLypnAN2hZYwoS7kx9+7Yy4aLc0eJNF1wOaTwGJmVlVhpVb0ZxAB6w8owLZViAClCZ7A1l4POr3PmZZpsRt0MoDO0jNFkKTfe3hm0zKv62Ciz0IDLeWPFWWjojTl4oC3eOIDzhpYR8iLFgKKjPYGOPZeDCseYCKZTFp3yA6A7tIwRZSk35t4dtAjMT/ikuhcvO3fUPt2MT6KlajjjIwC6w8owL5ViQDtHXgB07Lkc1N2UzwKaj0wG0B1axoh2N+Ujmrw7aInYcFM+iS649FM+qdGp4TCsT7SQDad8BEB3WBnmpVIUOJrQHWwPuoM2GuOUT6JVbskpPwC6Q8soBZFyY35zx8y3KZ/U6ToFHx20qg3fFVr0hlM+AqA3rAzTEiGWTrcpH7HGOWMm/hiJM2ZwUz4COGdIGaPJUm68vTN6r7cpn0Tr2ZIbuSVa8YZTPgvobspHAPSGlWFeKsWAcvbpgoeOPZeDipvySbQ+zgUmA+gOLWNEi5vyEU3eHXTPWPIdsEnziD42aD0cTvmkueIs4gNiAN1hZZiXSjGg32Z9xJ7LQc3N+iQ6owK9cdLoDClhLJub8hE13he0DM1P+SRaCOenfBKtnJsFfTGzm/IRwPlCywh1kaLA0YS+YHsuBwX+Fong3N2UjwDoDS1jRFnKjblzR97HHruBW6Z9gtUN3BaU3ZRPpiOHccpHAHAHlDm8TIoB8UwzAHTsuRyU3JRPpnV2TncKDzds0xLGMrn5HlHjfRFpBagb02daUOfne/aVjzjfs6+ELPB0BEBfWBkmpVIMKLf5HrHnclBx8z2ZVuTNgsoPgN7QMka0uPke0XRzxxi3+Z5My+38fM++ATTBfE9OK+5wvkcAdIeVYV4qxYB2m+8Re5w7Rn8U9AYtpULdDDhvSBnjeYTceHtn0CWyzQ3bMh3QEFxfdA0wAn+qWRmd2dBgHCkAOsPKMCuVosDRhM5ge9AZdCAazvfse3BxIlIA9IaWUaIi5cb863cyq173U+WeaVRoDtobdXbQj9NaKKA7DxUKcx9QY1LoqOGCU60MUCUaXhUsQ2eNoBBOgx5BxBQRocbeCL1nG/OklTK121MEx9g97JMOix23qLpVfLWPedIYpcBWZgFC1nPy96XsbyG6g/km5cdvaZ5nGiLvJRtZ9lXKXkrYVUnbKkdfn/Hn7/bW49Wrvu2q5B2Of/FxPfCw+pm3TZW0czlO3iI9SlnCbfvm97BJOYz9A37P5wj8z4qM0OWM/LbTTdLUr0yaPgd9+hJ0QBFKOGnRsTfTb4TGCmd785FAp5tyeuuQ9Dm435c4VpoEz+MrNhfTNQd098ennvfcMSC0WK0fH9DN5ba9nk5Zoi6WAptTiwgtIETaOGxSGGBFu85BaFgVz8HcR0ijW1rOqYlHkQDnDoRtjJVhc02KZ/TiXw46/4A27rtnfpBp1zTsZ0xXDp8TlCamz8lT9G5YiTpo5YdJ4DQ+8400vcriSGi0ueaktw5Jnwt0EBErTYLnsZ/5F5/1Gj67J73Ts6/m7MQdLVj5ROdR1zDgOTOwefRO97hbmUqXYaEUAeA5H6TRhW/73G8WQgcpVz7z7DxnBs5xTNsYK7ONNRnI5eXH7/pefZ9OI0jiRfdf7ObpX9B26TL7xB3Wf4I7p7+zdkmORFjtjR6JEAcfikC/K852DjB7TNrgvvdzf0ut3mr2yvNfbkF7MznI/Lnu3P7Lj3syqHVo/yzX/qKTG6jZW9qev3njPIaY6GxvDP8DaHsV6aBOaM72JSLY3oUAzR2NJuicCqkuaQtLQayx2gKsLdsKoLE7Bmj+MU9re/PfE/X7noyOcS+Itk10eFJxDZw7T4SWbi2PB2jf5noEPUH7poCGpCLSMqkQaN+2Hmje2BItIaZq63Zjw63b8SkdFh7P2VuxDGpeGLjEq/Sb5UznOJRd5RVgVZZnO50WMr58QsWkacnV1+x0UmDIeMIyHdrY9ozCO/pE6qCR16AnHiL7VyuFLvURHeKf9ukXWu8NyOq942gZWuoZyGhagjH7D/P4UU0N/VJ3b2fW0KKmlqQRyZnOXdHTVr7bTU4ty/ShTVHMu52hM9BSr9zOEKW6mqlbO8OnOowh1UcK1H9aCmJPFWWewyJKac9/tSut1rZg/luNyqDtR+2p0HDxTKKscawm19OIw5JzvcJPtL3EEi3wy7+TkRb5nhWlJ3l2b20h++6FnaiWeBEDBLg+jDQQGPvMZxWlycDrpRkQQy4F2EwWJxRufL+ivzUSzcytMUoJtOxn985plL2PPmGI/JWp52rQXH3bfdJJofOkabmQAm31kPcnU6FId42MPSI2iLoqy90ieJ9xtfrkopvTL2YgI+SKsm8OEWTQguBQTCgARzFJYUjMuwBiCipXSL7yzX1s+QXXtkwhTgpo5EvN4FJTLX1xutJaxU6thFZ5A7JatzNlRqc1J09lyjVgY1+XocClAN2suI8GkiqvAIu3vljdk1C83eu3clNJFXyStjCJuK3uFWAVvvgZXeP+1QDQ06JhYaCew2jr4Y5i0AUQnTW+z8K1im9AFh1t7oU8b0JWsVMrVt+GwAip+BqiWxTy/hyoEW9AVvE8+9+plS/7eh13jNC/3C3qqIHOyqKGO7fqBqd/rccI2Tk+3Pj3Fuj78BtqiGtMGU71+R5L/M3HT/Ox3tQtY38S1lNf3fX25I8S+tn+0MSCpxS544GkD/qN2vTT07Vc/flzklgdtbOckgabwR3jb9W6bxDeA/VSVvPKylqNC9RPyhc6CNKeaV9u0m/Iw/pD5/O8+pw0uuq1cSeXz+aSbuOlJWgHlgOq9If+6XfqWtLP6TXfzIllL/gwcyLdE5LAHCmh5tyqsDnWi6+RrlTKa8B5Onxpfepp+oaBawEZgfU5O0eoNZekFnh3oxmIe4Y87/oM1A2wOBp2nWTA5IsYJAARGAgwYxGnySQXSx9ADLoUYINZnNC58f+aCY8aTx8v0zGljR5a2ktwu0HEPu7JXoXSivDzRV4ZeXtAgDVu3CuwFdk3Su6uIkB1/xqocvcxjJ02ZbJuAV7MQoG2MyOtBFAoFtp2ZXItfVSTQw/C5l0GMAGVKRRfeeb3cpoaXTqxPll7L/P69zbr95Mf6Nj+xWom1lh4jSrn87+ic8xyXC0Gt4lttSPc+JW5Bsa7kaM1PK3dur3nCLSVlEHzGg3oeYlRzkCjfZh0ZCINsOuwZm71i08zRyCfpjZlJpK65d+qEd+gpNPG0enE0soXOUwtldVwW7UjvkzTec5elCHAacBXH7S3fererUsvVkINngiorp9/OvIjhIxmfI82v3V0Y6KDQcpTHdLRyXEEaLQ4n+5x4DZnhPQ6X+rvTsb7unKJrnylHy/qkj3m0b1GwHTpmrasWmjQbby735z2cPatMiLoVW8uzd2wyfzF1t0ciZ3faCvtJkHXCLrkJklX3p8KOex9XFYi09UnyQGhwByGlhAbtgw0yrTQvb+stm3fQ4nsq3zx65X2cmGYwiCo7vtT0YFciDp2OR2opH2PFULs5k4z2RvaOzXppyQrlemU4N58RfpRDfRpGTFqSzrHPhpk+ugmvlKPVWUf/Y+lbgS1O/fb/SKNtn7V91IX+tHLfdXTXooPX/V7+HO+ftNvFd7VxbiH/ecPncyL42ZMb/u0UTOmr2G96/FICTXnVuXexcgpUxzTUOZ0MRioVQYpOfd0T0rx617/x/9+lPcMDJ2M26pMnLg27M/e24181XIAFBv9ytowyGKjX8lo8/U8no+r00oRkgN1rZsBL4t1LTt+BTqPJ6fGp6fxCYNrwLHPV6WHudeYaIk4boAcCugfT+r79PnBh47s5FwekuahUBPzCpAKl6//4x8OnX6/Go5Jq4zk4fzr/ftb1ynpGvb45fWHJq/Bzz7fMPCRoqXQ5VAKXAsYCKzszSan4pJybboAM0t9Ac75dCJujlOf1XHyRQ1igGI7IyBPj8VpMgepfwA26DIgcf2MhG/8v6I3m3MN57dovieCfJf2eieFyHunl6jQ5l/3VsD1kvaKgFwDYRAtENq/MwN07qgywTTfmsuTKWfgBUxkiLyRwgOQTLfn1WxyATi66cUSiC28EDosVC7TfOWd30uPNp8pNLrieQ2VT6j/m9PDmiFj/5B/s1kdPRzj81xsnfH5z/epwCl37Npan/Enb563bd3H77D145mBkqad3l3a0kY/RCXtrLbOv5DHuV7Hn+jZ3tAxhGOJTwe0k+LUn948i/jej4Z+57c8s9CazDYskdZzf5PoNzgi4D7u6h/x0eW5dxDFJ5cvn/EkRCva0e9l9YUl++fKnadE1qAytLPhEbrUMrlSovoorUfX9m8x4/mvsee/lxa0hH77uT3DnytJtnGZA13873Ss4T5g3yN38xNE1N9QibRiMRV4oP92/3wQe3r+d1R0lPURci1tnoEOngt8FignKzeOktzHEGRaqEln3NV9sshKzn1oXeXDhPKMCXLpXmCoK0lpBz1wGSCHrhsQWOA+sHAfscG6JUniwmmFNb9BTaBI7zkDg2+cP0m6jjEa53hO8xfOdBVjN86cFM6aeyzWupJM6iAEgOIodyAdGtujI6JuTipnyG9QEygaZ9rrNI1zinzGjiQb+2vLTXv2U/VyUjhr7rFY60oyq4MQMIpsCgLitZ3IqJuTxtnyG9QEisY5lYGxzV8G5awB0/dhbxoyWy8nhbPmMiepK8nmYxtUMSB3EhjQNLbT/tED/F2KxnZ/uPwGNYGicaavXjbO+RxvJZzpet4KnH18ZYuviLnHYq3LySPZOIMqBjKfAaNAGhbbOXWnO3WN7WOb5jeoCRSNc4kJY7vIgVmSTOyvLbf4+CoWXxFzj8VaV5JBHowDjCKbgkCw2C5hOt1hamwf2zS/QU2gCJxnwdiuOmTgZMHYrhoyWy8nhbPmHou1riSTj21QxRRnuQPixJ0IGNucBM6a36AmUDTOtEIIYrulgrFNi6IgtpuPr2bxFTH3WKx1JVl8bIMqdkLvPrZrLxbbtWfUzUnjbPkNagJF47w3DxnnHhrGNg3cIba7hszWy8lNI+yj4KJ7hbW2JJuPblDGbqjjDjSL7lYrRjcnjbXlN6gJJI11LwGjm5aQQHR3DZnDeiaMbk4C6+leYq3NyTF8fIMyBsqto9Izv6YsPzeMcE4ab8tvUBdoGu+REvZMRg8Y4bTOCCJ8+CgbFmXHLs0/VmttSQYf46CMgZTugHjuyI/T6Y/TR7nlN6gLNI33DAWjfNaEUT41cLbcqaGz9XLSeGv+sVprSzL5KAdlDIRyB8SRR36IGOecNN6W36Au0ATeo0Gc20VSkmwQ5ys5IM4lqbwtf1tttSVZXJyjMqY52h2oGOdTO5iH90g+zid2QLUu0FTemda4WUueY9TW9CQHxHmOCb8gkjTemh8T1D0J7LiiGnZBm3egQYRnWtvSweOtugiH/AZ1gaAxjjVAhOc4B0R4ThoyW24KCSJcksZY82OCupuiDYsgeUmyBpcsE+J6JbHXL0lja/kN6gI5Y5syjipzGjiqzEkD5bAdOKqUJLCV/M0WxkciV9iCmp3MyScjRPMaLeN4UpLGNkGX0+oCua88jC/TT2LzXKi+7yN2EE0nkKWAJJrQyuMc9UjAvt03j/N5UmBZPOiLFrEMffFQiKbPpcI34ALg2OaQSGdhgZLlsOEMOQCJVWO1jHJmKTcn7JAxkBZoDucZWtfZi3NNLPv2Z9O2A7ODRQyga7QM01Ihmt56wDegWVxxzHPI/jUAnLM6sAFNYcA5R8sobZZy84N3Dp20uM8wNSilSpudLgeNRwLfrKEo3c1oBjGAvtEyzEpkaHJrAdeAXnHWMc4hjWNRnkDfv5fBUzoAusbKKGmWcvOCdw0du9h93OQVgcHHDe2dK5VkrUd/gESnE5lFDKBvtAzTUiGSPnrAOaBZ3NV4yYYhq8N7olEeQe0c0/KYDrCdw+ZaGaEtUm5+8M7JZZ8W5pwzI50v4pyzgtL5ZsVkx7hhwPlGyghzlqHJrQVdY3oFOcY5JNKF9qCF9n86Sw6ArrEySpql3LzgXUM/TAQfN3SrevZxQ/eq1wK+KSsoewWLGEDfaBmmpUI0XfinkBsCrmDzHJI5GkXN6kkXjBsG0DlWRmmzlJsfvHNq2Js60TmVtiD6uKFta6spMG21BTCHUuiWk8tstK6mt3jwCSgU5FjlkP2TN+igA+nQhp1Gj2gJpcoibtxvDpn7LDF0SKOf7LJzSKOtLRgt7ayMMHsYQLdoGeakQiR99IBnQLP44ZiHCP2SjdFCp0i6wGXA+UbLCG2RcvODdw6d2Vh8tPQUz7m2CCXaT2vaaEFCBoNOettDK2OgBHNSCZrmPdJ3BPzAtjkkglvoNMmBD2in0SlaQtnGp1fcvUNoWU5pziGDxoLJOWSErcE07bU6BYxhAF2iZZiNCtH01gM+Ac3ipWOeQ/bhZ+D5GjmS5eEcAB1jZZS2SPF+8M4ZtJ7e+2aNF7vvApPeiMFCluWJvjmA842UEeYiRNNbD/rGNAuyrXNAO1EqSnJ9BGfIAdAzVkY5sxDnA+8XOs6x+6CZK/SCDxr6QbxkcMzs+1Jcs4cBdIyWYU4qRNJHDzgGNAtyzEMk7lPRQM0aY0dnygHQNVZGCKkU7wfnnBz28uLPiKzoCw19s6C8V+GIsn35QIO3WwDwjZU5rEyIprce8w1qFmRb54B9dLt5Zk4OZ/HMAZxntIxyZiHOBze/rNrBvU2ZfofMLmhy3D/5g2PokoIJba8A6Bgtw02lSTGg3EahqFxccSx0SOaIlUewxvUFrWEAvANllLlI8a7w/qFbgqNzD/1kmX3cpLiXXJsyutJgYtwwgO7RMkJdpRiwNaF7QLl6bFvokX2EGjyJVjiu5WkdAP1jZZS5SHGu8O7ZdwoX7x868c65h37/HBg9OSQe0LM9DKB7tIywUinqi63IeUdVK3Lsc1DZJ6rBg6Az8NAaBtA7VkZYqhTvia8/vcTeaZjboWteh0GZ5tfbOdl2HyqjACyLMmh9lNouc6TE2WkrvTEUYPtu0HyClaHbKUsGKQaoJoHMGpZi9t44vecAk0xHfMHJJOAaO78kjxWntCzfDiu513t1fEmm+ZqiE3GfBVifDv6RgvYP3ZNS/LrX/z0sPI1npoIOnui84OsP9oKuOIbumP3CiiZe4vPTvVBppIILh362V4S1NWbmRT0ld96c23K9nV5CC7ZyiHbGwFfsGabtXG7F0dlnsUZqI+oSszBk7RD9dFNGva2SspNa3twKoQvOdBVaGrAeChay/dVZHkZbx2wjxPd7adTYG5r3MrQ+EnjlG1NpdWzb2rt3ktlSRl6nuyA63XzeV+6WnopbuVv66l3hyl0tISt3b1XuK3fXiBQFfFagn0sby6TzhfTq20Kv74CbcMvIpzjnsz1S25v3ovbWtn8yktr1/CAs0jm5irN2BsQ2rn2z/StWqtZwDpoFhxvU6ahP2o66Omd7uzKfrV7GCA4g9stgV6aXfbSzSVFAV2UbROeVrj9MSqVPdAFNDJAnxBqGzF6W8orTaTfrXhbuHvAB+vktp8x2nuhZFacPWFbNlVEgt8+BdTkJj3fyzeMnf9et5/c+fbjye6BoZkDs4ro3u99xtsYKln52r9lbpFCn40jX89kHDtIXie6fCx0f6gGI8RrI7x1OUoaCdp9iIFIUgIcqEN+pYVJo3crqDMFDPQB5QKyRMmqvSLlzOg91vTe0g3Rf13HagTmCJi99b5osB5MKrwCt8v4DNgpNA1RayNzpal0aNRo3mh5K7zvgwuTQbY/xPK+az6FpDF0Q+D3weBkNeAVpxXcYoNr4bokfJKJf7EK/2qWztjsexx8gdfn+KxC4waTf/NrgV6Du3/zakFdg7/OF/OzrZpC9i2fQfgHA7/IRR5tTuqnj5K4/MHf6usiM+qJKJfPyJwHilJ0MAgxpv+nn3CGfiq2dk0bW8rOvm0G2kWXtFwCT7T++KwHVcVLIWu70dZEZko2Vb79WQG7sY3Yl+AfNV/ARQJt1XAUB5KUTINyrnGvdVeQ5CYRbTEluSselml987QLSweGmX4Ak+gUoPqDeAEQlJxsGrN47qECt6jQG5CkfheckFCUkR6ewjzV3+rr4hM5DO/6jfd38OjKQmtgvQME4CPoObA8HeEO2QZZffO0C0s3DrP8CoOELH3p36rq565gj+UKHazt2QHhv/qpAeO+owhhbQAYf7oN2rf8mSSUM+cXXLiBdCYv+C4ACb2GiQ5giqJvmsGOO5Asdru3YOcKRl7EIMFpy79ACArxD+1xle4ckaYQtv/jaBaQD4RjcKyMDPiUcM6rjJBCWfKGTHP+o61iUThoupFMfwYV06n1ASK8kxpgkjbDlF1+7gHQjzPqN8MgBQnolI6rjpBHWfKYjtR07JEy9YhfSbQ4f0k2DamtoGnLbAk4aYcsvvnYB6UaY9V8ADAxp6gJDSHPSCGu+0BkY0iwdCdPG4+4Ix+ZDusWCId18jDWIsUM4upfWaheQboRZ/wVAw5BurTt1rfuQ1nyh415plo6EqWfvQrraV0aAhCFdM45JJGmELb/42gWkG2HWfwFQMKTrqBjSnDTCmi90CoY0S3eEdQspA6UmH9JFg2prKBpy2wJOGmHLL752AelAOAQf0nTGaQfCoWBIcxIIS77Qca90DeEe0nROjAvp3IMP6aw93a0h+xjLEGPbQssvvnYB6UaY9RvhkgKGdEkR1XHSCGs+00nulWbpSJi2X7qQTmP4kE7a290a0sDBsCSNsOUXX7uAdCPM+i8AcKSxkhNDmpNGWPOFzsCQZulIONXiQzoF37lNSYPqEA4JQ5qTQDi4l9ZqF5BuhFMtPqRTrRjS+5pbUFet0TvmSL7Qca90quUe0nTlswvpmLTZFAAHUCvpYixCjG0LLb/42gWkG2HWfwFQMKRp5Rqq69WHtOYLHfdKs3QkHGbwIU2zbC6kgxtEpaAhty3gpBG2/OJrF5BuhMMMPqTDjDBW2KsYIaTDzD6kNV/ouFc6zHAP6RCGC2nZSH8Z4AYgcboYk6QShvzia+M2fSAchg9pWsQKIR2i67qHGHxIa77Qca80SwfCka4Cx5COo/sR6wJwPLqS+J2QpBG2/OJrF5CuhEX/BcCAkF5J7LpLUglbvtAZENIiHQmP4oeHcaTiPktxuHc4DvcOSxIIu3cYaheQboRZ/wVAhZCOdK5+B3XFDw8tX+jgKy3Sv3JZeBmrv9L372M005WeEKIDRmfb82oGjX02A903UPePloPnqvuk1aEK0ATqeuKzuTLtnGmmUgzYmnYlhtieC6E1Om35yQTTMsuByhkgOWKgllGiIuXGfIeKEV3fgH3IE0B0aXT07lhPznmDDt+b6I0DOG9oGSHPQizd+bgLg441l4M6rU0EuXQctdN9AHSGljGaLOXG2zsj0qy2jw29bcaEx9rPTeVYqp31tQvad1/5igrlR0seotvK+w3KtJILhNN95dVm1AXYjmMfaBnxkkoxoJ7bWwAyewwKtzTNrOPzeAtJtCoYgS0XAb5IB6DjaienV359RDm1rBWeNAP4pLWMPUOWcnuo/KTZyfRh3DfVAbQ+zbenE9Y7tZmJLDp1N8GTOGl8EFJCOKgIA7YafA5szOWg7F8w2ryAMXDSLxCDWkIpsogb55sjAh1agY7Yx5tVF5P7bLLczRF7898EewQAV1gZJmVSFDianC+OPc4XtGgBwyDERJsDwBkHcN7QMkJUpNyYO3ekSYsIpnMHrQ2p7kVOFLIxgTuoSzDhN1MB0B1aRtirFAOkL2keOvZcDuq0kgT8nCYGJafBGVZCWbKIG23vi1HyufjUoD73iZKXgwr/ssjKaB/waGAPA+gLLSOkVIoBWxP6gu25HFQ5xMTJZW/egAdReIMHPCwto0RZyo25d0dvkY73dO6g7Yw+NPbx0xganTa+YWgw4NwhZZS9SDEgnwsMATr2XA7KHGIimE4Nd8oPgO6wMkqUpdyYe3e0vm+pQne0HM/llgCt3mqH7+4+EaDCD9ECoDu0jPBSKQocTegOtgfdQfcpNIyOtr4aLjQZQHdYGaEgUm7MvTvqbI/kvFFL5143QG33bFUZHQKR8d1lAL2hZYSWSjGgy/IUhbY5l0MGx5jInZMjVXRP3mAI9mkZpclSPO+bL2LR35cZohOFhw8NOgOkYGjQKSAJQ4MBdIaWEVoqxYDKyw2M+rHHeSNW+i0fvBH3ygPwxgGcN7SMEmUpN+beHXSRgW83Ml2MUZ036BSYgqFB58CkDAYxgN7QMkJLpRiQz22p4KBtzuWQffMieJnWqGBoMIDOsDJKk6V43t4XuQx6u5wzaGLVh0aae3eBKaODfuYAgxhAZ2gZoaVS1BlHEzqD7UFv5Bo5xMTLNXGgypM4AHrDyggrkXJj7t1B50yO6NxBa5urj4199FNBd8TzW4+5IxZtAcQdUkbdIVIMGNKbVujYczlo0OpiENymD0wG0B1WRomylBtz74448rntEyD6Jd55g36sDxgc9Ps+rjgSAL2hZYSWSjHgbIkC5FhzOWhf5Qtyx15/A7oPgM6wMkqTpdx435wRIr1g6AzaMJF8bNDxbjjsT3SecYNFdQKgN7SM8FIpBmQdYgr3Y49zR9g3P4M71hA/onIGnDu0jBJlKTfm3h0h7iu3wR1yYuWF0L6sT5WtdOeJAF7oxAB4w8owLRWi6aMHncHWoDPoPP02wBl0GPXA2GAAnWFlhKZIufF2zogzN53EYog2d8sklkKNJ7HYG7QE3y24ZAC9oWWEvUoxoOsklnjo2HM5aPAklrg5T45UeRQHAHdAGSXKUm7MvTsGHYnoY2PkcptYiXv1bUN35OgmVgRw7pAyyl6kGFBuEytiz+WgytNYIrj2x0DdO43O0BLKkkXcaH/9RgqYSITZ0PmYhpQxO229onlEXrarwNlhQKYq1KRFYyFrrFugRyEA1Wnz3O6gZdr2MAhRwBQpJMaoFDH3xug92ygKXU++r4jgZ4grInmJM89i75XGEFO3iq82UhTa30vr8yKfB8lAGnJUTE0j3JNS/LrX//EbKUrbDQ2dmlDqGzfA4jYH2LxgF8Xw3WT1tovhu9fnz+6tDnZC6t6zkJfS55+eA2BXeNfc7/dFwIYG2+VguwtM3t6cUdpsb1itNypItT/Uaner4XTf16di17LdH8vkfTCVDmxPsPNASvTJv4/WNMcb+SzhHXcC1PU39ZE+rTrz7GmujdbRuH0RVoo2G9etmG4yLG8XYlGvrl5YRpyl7RKfawzp6Z38Kkc3LZH71hgADsGW+CfqWuOtSt2bgRAITgfnd4lxkWCA6GhVrThetxLJV/mym/NyyVlOffYsEHcyyTlQC9FJgeP49JzG4iBxM59Svy2e+4IGKEVbGDyyfE3fWFQohdgolASQ6qO2U+jvY/Gt0J3f+25eiIF+Lxruilo6djPe71MK9dwCahcq3W5ZvqyMXal0q/Wu+xdeRf/nDy2vKKzuUe0vXx77SiTdKNRKxkjTfNkmdKvwapvQvsxyZWdeDSFAkXXvLe0+4muAq1x3GT++BV8C99nn1FWP3ILTHrL1nEqMb28Nw4ZQDuT+/r5PzRrv1w1hK3TxY058jlyvfFp+4le614lAb2nvUco1u+TgtXsCzMBOUeB4ScTNs1BF1E1ZA33MmbLcutHVapI8z5wFcSJEqUfJLDcucPIYeYQwAcf3K7ZYLSF8DyOtIqp9+yr1fXc9I+Ss1XoVKNTpfp687wugI4UwPcPpVBpEi2jD3GIUKvtXP5NLe4wyvWasmtMvYB9D5IS0N4MK0vI8x0OJWACO6iVGITbwQmhzULHM8ZVnvu5myUZX+bbjoj0PuhwbSj77iBi6ACr9HLVm9V4jWu32Uey0Dp6+2ZFXfTU6KMCAy4DAuzS0yh3QWOshn+sz7gBUqXcZNTu1WuUVkO92vAKkyheb20bbmDs9KDrJaE/tr04W7+pi6EJoT6lCrVvaIoQWuM83kVOn014+uvfzddrUSo3XCF0Q1Lwpb0BS73e/VbLRwWC0PoXubsv+VsmSf/hWSb7l4Vu7HcF2In93u4NAWua3riO4d2LdbZN2HwFdo5BypPsIqDO+vE57imk77+pS8CUMb99U/OadFjH+dv25ze5ug9g3LbR9HcS+qAEHET982QQ5pOb25l0TTivfy5bosuv55K/FuO9Q3nLe3KGsH7j1ld53oOtFa2P1hPzlTaeEXbX2+nonL+Md71rnU4LhkrVB1yVPvOhKC9kla52u1J71rUI/eMta34NVuGVtjc+mt/+UsFvS+hj+4jVmaDet9cXmkVyJfq+S6NuNXur+lrQlAw0zLXrTWqdDg/BythuXd3l62UzdaLtprdPESvCe5kJ2O1ofqzvs71BTV9tNa32GREsasBT92D6Sr0gHROBVa1rIrkfrtHWsutvXTKFetbbMSnTWhCt1Y/i+Dr/1IrR33Wmya7redac5ppYNUptkzAPAub3rxeymzljsek8aze6lJ7os79xq9vrNGrvPLCWue5V3DRvuLxK90qvrDHfFHnMGXbCB17bxveMWsVJChzG3KmxOpzU/e/08r6wVoJ7F3quBPPsL2l652Oa+D0uSq1NFu4WK5ffuanOSpa/iDORzD4zUTtNJ5+QqztoZENu49s32r+jxdjojqewfB0s8p2kZtEezq+9HV0jRhzxVurVi2do6pokMHWYJJfqKqgkSJM1KqAYjue3lRSYh033qGZQwQD4QOxgyS1nKKzYvfj6v03qi4Z4xA2dH+eoWnYd6dorqM868oL+N0iy3z4Z1JWlPePL+kL22+dTN6QxsWDIniVtDQOziuje733GuwIoX91A5TdG4hgCNlg6l/YN53ROl8EgPQFzpaNYJZehkgfMrO0tRAB6rQDQ0b+trpFIyHXQ18LkegLiLNVLmGCsiHJWXH3/9GJ0XOWmXwepe5jdPo5Fu0KvbvH/raTRymAp0nr6VzhOcVfPv/Y2LdKB+6Rkvt7I+KEzFfmPdnveNue5zjICkpYZOcboQOuecVjp7dSZz+KK0LxiFh9zOHREK8fRN35MAsqPr84dbm3dZiSAjf1/l1QROOS9Fk320AtBg9EwB7FW8bwBNtr7eZPweJnBWd2eQzTQfnt+8RNPGDTjzLUGFJwbZrPqr6Z4zW8/h857Znq8/PSbR/EJ/uk3D1fV+wyTcfUb85MoUnCvMz+9vP/xfbMue9g0KZW5kc3RyZWFtCmVuZG9iagoxNTIgMCBvYmoKPDwKL0xlbmd0aCAxNjc5MAovVHlwZSAvWE9iamVjdAovU3VidHlwZSAvRm9ybQovRm9ybVR5cGUgMQovUFRFWC5GaWxlTmFtZSAoLi9maWd1cmVzL3JpZ2h0LXRvLXJlY3RpZnkucGRmKQovUFRFWC5QYWdlTnVtYmVyIDEKL1BURVguSW5mb0RpY3QgMjUyIDAgUgovQkJveCBbMCAwIDY2NSAzMDhdCi9SZXNvdXJjZXMgPDwKL1Byb2NTZXQgWy9QREYgL1RleHRdCi9FeHRHU3RhdGUgPDwKL1I3IDI1MyAwIFIKPj4KL0ZvbnQgPDwKL1I4IDI1NCAwIFIKL1IxMCAyNTUgMCBSCj4+Cj4+Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeJzNfUuvLbtxHmJLiXQkyHbsPEd7uE+Au9LNN6cBggCe2dEsymgHthCsHcDOIH8/LNbrK65j61zJCIKLi7Pra9bjq8Vustl8/N3b9bjfLvpP/v34/PIf/7q//e3//tIf1yjj7f98ud/+cv3/P7/sYm9//V++/N3b/biuWtIGfrgec5Y6VD23JY/+9kO6U37M8vb5pbV7FQLo6VC+Rn3UuiBT/Abkir/98l/f/urHh/BPZ7y0Ry2jvv1w50ebMyM/hYDf3e+xFBbkit+ATPH3DOGfzvj/k9/vfqP//v5vl530yHO8pftOj8LJZCRfbTxGIiv9cc+ZvoGo1vPFzvPL3/yH30G0VbI2AlGFfiyrF1tKlG+aRfTvvtz8t/zz8fn2n3697rUVcnqM3Nvbr/+GSi/Tva4f6we6H9P6Kdu1eJLLlN9+/fnlv73/s68/rNzX0cr7H31df/XUxvsff/2hPkpNuQp4zf7+k6///dd/+eWHlZF6Lys/pP7IdSXp1/9jmfnpNpPIzD8n5TstEu//4mtqj9Lz/f6zfb3nkt9/TtdTKyO9/+Z/fb3rY1zlXi7J+n/+9Zf/L+4Yq1F57srxRgVSpVtfgZWTR8psZFzX+BbCSs/TyndUpzzr41oisHToR1J6sfVPVJ3mo7zd5dFGKkdd6lZtptWlMgH8ydf6yKWP/v6Lr6valHqvOvLLXXFKvuf7b/5+wXfu/UpkgNTudr//aqmlMUuXsqld9f1PqA7NkfZfZP9uWMd+9b0V6+Xe/PzO59KPe8jKL/X5nVVU6mMe92Pdudcs/FwzoPRHo1/UgUqVcIkXCeVxkdBXKRM/VuG+7ku8XkCThW13F63suaojBRo9Ps3UHMEVi6S/A9GrSkN0A6uPRdag9ZhZJT5Z/56t8LNaxf1YXs7Wg5LEWyIn3ypa7HC9oG4xu7toMa9PEzU9zPhuoskUWTSKelUJlMCYLQtFopB3TEpwjMzPDhUvSe5mNPqk5EuuVXSCfj1RPlxbxGz52ID4fgKgOeF85QI/7RKzueN8M6BERBdYOc3V6dMKy7rrwcgtqgJ9TvzxutWj7bt7PeoFr6aom8C2Ex1lWqVloGpmKI01oSsRtzZnXa9vIqoJrJim0GhNK6wA97C6JIBWH2Z26+22cy6ix+7X750X0xZxWMVlgP0/ARh2b9/rQYo/sIhO1a8LGdVFbkJ3K7RRtfoKsHpRWqcECJWoaZ3hCBrUqU3Xr99R+wbrTlf8PwHQ/LC5MUSf3Q1PF4dj13vURnaB8JWsIm+g1mIVWYCMP2jFqiaCx+9Xr0dBXRGL/T4bEO9PAAre4u1q/mOLAGTtqlApgTvbFrJboabLKvMGCjz9BQhky0x4X4rodO16m1xctFWsVhku8P8EIOPNsHoT/gwXwZ+GflXIhNtcbH98WT2aRymJXkqv9VL6j7ffSzs/eqUu+bV6rOUNodW5evTB4RrUHrlzQmrbwOqvdP6F7+EAhb3utjmwzLrf6kQrDmxPW6k/+tzxrHfrup07NB6rm+mG79UzLQ2cCyC33w7QyxhRsXIwl4qiRNcvs5x+uqV79REf1Z66AuXVW+PfL/cN3I95e0QKADMvI+zdigPb01bSDHE8zwDtXEhyrvXeUm78IRjAXHgZY1nfXjhLIpRiuekqJmKsal5mSMSYq5ZBNViN83yM7r+VApgIL7N60mjE5O1nqzAiwTwRSY/Z3iC7q7uX0fFcncG76U3LvxJDSFKsHKxjKsaqpZIJMTTo5bDo45qhVd+ujJlYFXlkzAQD8OtCGWGuRlRmP5CJUeejYyJGu2KtGqtDyLVK/TIgj6N7YBmjqFYiZ8mDUOz0xImJ6Osl/J4hET1Vuqfdf1/Pr9rhpxIAWHmR8kh3MGLAdrR1FOJwngFaTUCDZPTVdbyCbwYwGVbGeYqVg7hkQ9Qa9fJvzoZC64XnrvqcF2jdW1gL2qpyNUNEAkA2vIjQciMGbEeYDQnnGaDVDiWvTU17m+bae6MWnvVIjaYYOXgfybhvurMwGXXVsRlyUdd7S5vgv67KnAb8XAIgLy+TH9cdrBhAjraOIBLNM0BZapjkYr3PdHQtQMiFlnGWYuSgzblQtZrm4+aKYdCVtUV1aFUufIDV1dvfDyeJUOSQCytyU5uPRgzIxkLTw+FgMup6rQkVrK6XHq5g+kMwgE9tL6MM8vXI+KARTx/ykt8eqyLLEPnv7I1YQ269kbGfSAYtYNXMXWb9LLtGrGYkwUDjfnNViPrbb2Bk3VJX8VtagU3wot4alFmd14JGTHY/BmksZoS7Ly+MPr5jUGX527+L/Yyf/kwoqy9V+VcUjlipDr2XYb9J1Xh2eaXb0riHdMH75JfuE5Dyz6C9x/p+50DbEulWST3RSBtxTnlywbf1gKE+Or2Crupjw7ar4Sttj7SlVQfH+x//5OsPNNq6cv3+0693XzderzQYu/4cF43FZnqpme39Z3b156wyezIzv/lfX39Ypu/Z2vsvvq6M373WPQy8qvXVaZRu/VV60wHhPbJmiSul7zpAI0v7danmvN8yBHguoCFQ89xdehqNR3HKG7YCNe3n7NOBugE1V0diMaP4YQEJ8FxAQWC9AVxbZHMmpqH6DEhATwc4YDUndA7+H/Trp/XMKOu+/h0jhGW9EjZ6LFzrjzvt3K0u+MgOEfs8Hq07tPgnGilcwPK8uqkOrCC44XFo/fXIlX8FhegRRnbUcJ0rDrKjzgX4gBAF0mwUh8qqYTyqKYYBYOfLjkES4hMgoeGGhehLfj6+dxT7H7u5Cr140zOs+CeR3/w91fuU1/1V33/1daWFHvzvf7L+6iWnAX/94iuNoPY03/903yvrviiJPoZkevo0Gv1eDq657sk/ozt2vUfUdd/Q5SSfXOi2amndlPvrCo1a93u3TKujve76/XXlJ3RztvH+L/e9Sa+Fcr/2uT+tqLef73JJr66n234skLfa24qL7vZ09fVY0AhCrOsHX1zSipUyPFumm5yeH7lO0P4V5OdP/SFQ5nqa0mDLanWv/RlRgSL3rgN73G6JZY9P1JsagyXWPSDB4gcVH3h1Rt0JtqnwLSMjlzpjoM4u+nRfzz3Qs4T2cHG7KlxYr+9AXReZUc1b0B5X2rF9iriSx8MkImZ+xIh2z1ki3zRFVJp+dT6CLotpWk6YN3t+AnBJ5JSzPtGViE7TrwdNt+sUV43mJzmL45axYxUzJmjce2hJ/Yq4/e58+/X5CNoiJvs1mHWTRsMBzUrjgckL3Yn4YfXMrwddt+w0R2lWaUmcxarsFqvki2latdjZFBFoYpVz3WF2naL4fQKgOWFTJcmPwxktniIOxa4HXbcsFHebNdPgHo0BvVotEmB4kmYPt+mEWtS48HRmrul2tW6L36eJ4SacqQY3qZqbTdGvCwnVRk5AM133ZVWWgdqt0gowLVHpslpS9pcsqEV1f+ix6y3qijjsF3HfTxUvzQqbulpwdTVzlfAqB2m6yOpHDlyWsfqhnRrWtsztASqAVl6u3fwCNOgVZwGdRnoWwD31Qt+YbgBW0GM9K3YfwsqM/coDVhzYnrbSeinIHs8zQKuHsO2o4ZW2ewMXdR0MIDsWoJZxomLlYL6ryKAhww2u/soeuHSo58lDqQCtN4X14uK2+rrfWod0CIDpsDLK3qwYwJ62kmaI43kitN5c1i8J6VivdHngb8FASIeVUaJq5WAe09FXt+sqIR0jrZf1kI2xXujqDdkYab3x3xCQAJuY/GRWRmmZFQfSI4dkSDTPAN1Sx8Tu/maV8Jdg4ANqs5cxmmLl4B2TMep6dMa6QXdsjnWD7ulaIRtzvcvODveOAJgNK6O/qVlxoEg32RPE8TwDlKWOaZprkpqqPwUDmA4vY0TFysFc0lGoJq2IVm3NUjcUGuse44gcWg/iG2zNVc8ufJQIENKhZYy9WnFge8L7S+J5BojmNEE6Vpf70RM6ZwDT4WWMqFg5mId0pGvdF3lgOtJ+GSyYjtVPXk/t6ulYQKJ73iJSYEfEv5mXERpuxYC2Wp+C6dB4ngjdQ2qiGqb3jIbOGfj4AgFaGaVgViLzHz9ghQ9wb4WoWTOk0Bh74SKrLMj+/ukQjVPNN7NRaRge0qTATtN8TCwy92ctsGGA+1GoXSuhb2bDQj3YfM9g1WrG7/0+vX7T1cwPbIh9nl8ZtdANSKUqve4+XxVfRqtK6ZknvmgfVgD6XNJ40CSXF1GKP0/9P3zIahmkG2t1QdfL9fe/VdMb9Or0rLfpX3xdTyrKHr1X6yvvT/doVetphNfqpVRHKfu9mrqGJWUeAFsdgwKe/vR7J4L52EhOF9/pbU+OAujJN8BFLDNPTlil7kRJuWUqD19NY6KYdZ7EbynLLU/X+FRx7J+p5byEwhOxWqq7/190Xla798Qiu86uBwq3vF+ymPLuJ6ve3VkUuyKuwturXt3xqCbG+iMGtlquu4XDdDq0Xo7uucJY/47h47YtrUcNAkRjUQ1lrtF5fF6tOMCelpJBaf2CKyi3QuOp6yZ3TwIsJYtGy1i8auXk9HFMRKZPBy38sgL0/RLa8r3fdWiQ64JfN8n4QrsnAjto0FbRf2EGEk8jUe1112xRrItIvzF71+sSm2rH2D++Y+5zTquZjD+wIqsBohzTA5Na4ZI6PfHg52WAOKy7LkER+lRQmttw2X5cg9J6Abnam9lI901dXHcjAP22GoqW0VDVxkHm4w8fZGzrPZa+yKx/1p86gE/jamNOGAOksXcacG/rYfaLbw31/XIP1jV6gvLg+2qdaivlGC7UQf9+6xA+WfxzHvZv7dujf3++h/fKxIJ/tC+vp0p6/4tvDPanXC4Y6l8Ju8NQf04ZgSz1UEbOTdShfgVsqN8AHptXczJyr+5sqJ/DsYH+VdrFtOiaIRF0iJ9FG+AXkYNkI0Ig8P2O+yJlmiM/32BIP1ObmGFYm1iuWnzDwHamB+5VfSzcARvSd8iG9AHikXc3LD0bd25dHQ/RhvRTmp2fbQKlRN2D4YYB0CF9h2xI3yGh4YaF6Et+zo7l70hvvxK/6lDHqNHX9EQTQmp36AmQPMyfoPgNyBSPrwupt74bziQzWlMv+ykqwBMAGSJ1lQPwukavn+UbAKjQpW8CLyonUM84XgBV+d1Vua8OWdq/by7UAhJEY9KOPAGh37VsxNS+AVlN6XU+SvkHIFcc+ZHvfwDyGEzxG1BdFTDG8Iqomkzr/z2e99RJoI/cibrrCT/Y9trhcf6NT7aj+CfbyetnMn3l/dl+Otc7rwfx/j67Xh1W35fez1ZjD19p/uwbz2kaMn1rbb1YpE7fyAcNmRrwVGBXCgZabadY1qtOSXuSCJk7RDf2WwFWV4Wuf37D+ov/aCHoP7+/o3nPe0+9+aHRJ+HCvukVtjj0dIiGghaLzW91n67+Tajc9Azcc1HV/DcgN/89i0Fcrcs407eC+kbor+5OU88/vLdylz3CQJWUFivt2vuvfEbBL3edTNd4hy+LPqXA37ekl1Grf6FclZfe6+4+5b2t1/jexuiqCkU/iNKL+OTZMo9py828vru/n/E7X8vv//pb8xY8iJ9TYKXNBFfl2+eV8OvsT83iuifXj9HyKDC3wjtu2DmiVpg+KF+TvwwewJOAZuISeM7MzfPBTdQlGwbwnGbWvavosuVbp09HgFyVi7VFoSQwxYI5YlHCED0LEins2VvpKlDi8wTIN80rBxvXfu80DyqafwUkOtHWyMW6Uw3AdoeZuXo01k9nPQaDv0ggssne/UKqKC7PN89AUf27NY6cbZuovg3g2FRbImfbRhNFctUlSVpY3tTEVI8vbg5IKKKtgQINppkrXP88AfKf4Re9uTtu1lU07wpIdBl+T7XsRAOwXcW85IH3gYnubOB9pNoWKhJhsvz2AGQDsCK45sR0rT6a2xdBvYvIsameRi52nWoAiOqV8C6lGXBQeU00qgoIVdFWqoHGprreZQiQUaogEs1WWWEDSyx82w4m03LInAE3r6rQ4hzdEhv8TLs4Ak/1rqni5R2mraIuH1FAf4Imv4jG5kSYaCk24PYZRfJcdqLS4Bm7V9m215Oef9G8bctV8p0bF+c1ZirOm0PJW5BVfUEkV2KMP/0vV/s3cZED0bkAEihr33uokURekoUkmKTY5nfZzxMA77VCqFUynnksyFYYXZnHgux60HS7u+jhZouaHjbTND3spt1abXYQdlUCVF0kEEimrL9lAICkrO5h+0nuTvGuS30sOrseNN2ukQQ3W9R8iJkW3bRQC1KsUKaLBJDkPfQRFIEnAHJvkv17NImbR25Hs5+HX/vsetB0u0oS3ZA4NTlsRtZoqZvpCRp4lQM0XSQQSNYiS8oiACRr9uoqr6rmvd7mHd9tJXLTdLtGEtxssWN1vevAu+LWuRwahF6VAHvgrI6AZLpjdbW3dgN43abYvzveLCICSbseNN2ukQQ3W0wStwwMFKyuIhpJuyoRp8A53Wd1vXit5OcJPAGoXl2vkdC7iE7SrwdNt6sk0c0WB1bXa154V4ioJP2qBDiQszkCkjXF6ioAkKzyfN72y8TqKiKQtOtB0+0aSXCzxSJxs5nasLqKaCTtqgRYAueazupK33dDEyIAkLybV9frrlhdL+vQaHQ3tBqu6XaN5B2akCtdWF3pIzO6SaEJ8ascoOkiASA5R9FxiAg8HUh74GHbn3vpfFHvKhpJuB403a6QDG5IbKrHZoZqshsWhSRc5QBNFwkgSXpl39uTHICTLDxcw/YLD8WodxGdpF8Pmm5XSaKbJVbLxzZD35PAjYhK0q/uAF0XCSDJVaNkACsCTlL2V2H7d9K4t3cRnaRfD5puV0miGxItOWxmqia7gQQNvMoB9sDZHBlJmsGRkKQCTwcur640nQO8q2gk4XrQdLtCMrgh0fKxzYyCd4WKQhKucoAZObsjJ1l6rK4KOEnqAxvJUvBmUdFJ+vWg6XaVJLpZYr2wuo56Y3VVUUn61R2g6yIBJHmXWF3H3gKkAMn79upKK1ehuqroJP160HS7SvIuWF3HXbG6DtpGAt00dzPwKgdYA+e7nNW10wxgJKnA0wF7eI0lVKyuKhpJuB403a6QDG6WOG6srn0krK4qCkm4ugN0XSSAJEuN1VUBJ1myV1ea/QnVVUUnWaDVAE23qyTRDYmhCellYnVVUUn6VQ4wNCHuyEne3LB9noCTvKZX136FJkRFJ3lBEwKabldJohsSQxPS74LVVUUl6Vc54tCEuCMjuQfJsboq8HSgeHVtPWN1VdFIwvWg6XaFZHBDojWpbGZGN6EJgasc4EDO7shJlhR7PAo4yQJNSNuze+xmUdFJ+vWg6XaVJLohsWB1pRXYcFeoqCT9KgcYWhR3JGM8tIxYHzsg7jEeGjyhnbXYHIuXtoJ74IXmh2vce2CGZpDDzQLiMF0N9IImpG1jAyrMHRqJBn2OPdjUrJvBgVgXBEjYiF2d2UiCSJ73qFidWt33pih1as+Ur45hvgXQO3IPotWhGd8DdCraiJ0CNkAI+nnraz3cA4DqfeuXEB2bm/qcAyowDqv6nyewh0fdvgx+1iE3hYpGVgFht3W1fyKWvfcSge2KU6XVbw5I1BY8q1u0MK5HCBIpyNh6gxKfJ2AD3m6jXGB/C05yi0qR9Ywk2wWSAZBBfCie4Nc20V0JoIFkpBko2JcSJAni/nyRQpr25wm3LaL7FkBjY22LnGwDTRD3R5mx49bCjZOgpkR0VwJoKKztgV6RJn8jAqIRkM9Rps+fm8y6iuZdAYlu62rkYtmJRsA+tIHCHY3dp7M7BhN+k0iEye6vf0g2APaZ0W0UtF+i94KxsZ5FznaBagD2p1NOlClA9WDBHWWoWqJnAQYCTLJnKPF5AuS7V7w/U294Y6jo/js+RlXbImfrQDUA213MDc37B3MiujsBLJz4iwQyvP3G1WIVjgDtkrAXJJqNfF94i6hoESggEYq2xi/WnXAEtruQoXxlrMYqujsBNJwr/DqRDBMuR0MTgb0tRMKk5RKaGhU9ghKaGtG2+MvR2ERguwuNTc5QXVhwV3lgIKGxiTRgGzek2o/Ghvd+cxt9YGVW0f0LoNH10OSIdaDajyaHNmqD4ikaS6ezFINBsv2lySl3aHJQfJIYHm/lDk2OiuZbAYlNtDXybdtpokiurpCVcoUmR0V3dYUmR7Q90KPJKSXH6hsB8l9Qv4QmR0X3XkKTs3UtcrYMRAOwXcW8lDsau09ndwwm/iaBCJPtR5MTAYpghAdcGWh/RO8DYxvhsSp2gWo/mpzSQ5PD+3u4ORHdmQAaSg8NT6Sxqdb7aHgi8CQAe9hLDA2PihaBAhKhaGv8Yt0JR2C7CxmqV2h4VHR3V2h4RNuDfWl4ajkanghQBCU0PLRXJtwoKnoENTQ8om3xl6PhicB2FxqeWkLDo6K7K6HhEW0Ltrw0PHUcDU8EKIIRGp46QsOjokcwQsMj2hb/OBqeCJC7HjPUsbr0WJk6VrUef5fx0vC0u8bKHAGaV3mHx1y7Q8OjovlXQKITbY1crDvVCGx3BYunaCydzlIMpmCg9azIrYaGB8U9Z/bGZLUaGh4V3XcNDY9oW+Q1NDwoylxVzEoJDY+K7qqEhke0PVBseH7cJqm0QKPT+pu8nkG9vX0Dop5tmrwKQaAFjMfNwF4cDYCuwUHopi3XwEpKtI4HPDHw8eUFevJ8yvsOalWW+4hdk821IhqdmdD4D478JjwHT033XJwQvabOSiuO3dY9i9pibw5YQABxzG5FSLkny8UJbee0sApScV20UyDkwgFLhkEWnxgxApEkJ4OWlM2YjAPa7+x3UF3ApZkWZwZ4MhySZJgVTYZ58mQc0Ha+bp8Z1DrvG+eGDXDnClmAasUoRJqcjlV3rxHTcUAUUeqHrVQl1eJMZY/HEAnZTCgpc+O5OKAnz9wsHdVyokUxYNgB822QhmdWLP7IkYc6aa1iC7k4oT0XM2ui2dZF44sDvDlgEQHEUbsV4eWeLB0ntJ2vNr0FtamrgdXwDMuDtx2FLEC1YhQiTRn5Taq2t4H4fIUoojrV1oZu2oVGbFXakPamLW8w+RSRQ5PWhYESR7083byCTHjt0dwIPTEeZb8qfcvBjgLsSUaFBRL268YoBSM+aMonjcFbyqaVPf0GF6E9FN95oVvaR53wN4e9CWeauvQy75VJUmCP5t+8l6eYQWCnhb5iPMqWdUfmA9me2W6+9vKh/XVjzgBIaPm6qTJ+BAK8rzN9LagcXd97cJ8UJRVCgR4xgzMRkCcie6MPD5hOwNiG6cOIAxQN758EZfZiDDTiwPazlSL0DNBeiYKGaWtk9M1bJUN0UkCDFwORXkzCepSMGZLACCZhBdAmJIF29R4YCAMhCVrG2KgRB7afkAR3bVCmLW3Abt573oBvBjALVkTCFxORX8jCvaoH75x7IE9E8gNqwr2eiWVCIAJgEqyMslEbLjfeuPYFegaoU0OMdufeERd8T9k118PTIhq92Ij8YhZWxb1TyAIjmIX1wJw3pGGv+4NIthySICWMjVowgJ2EJLhfh/LeOtjtrtrcC7pmAJNgRZSO2Ij0YhJ4TeTnC4JJSLTLJSSB9rFPGAoDIQ1axgipEQc675HzAoU8pH2gERheTmf4CRjAPFgRjV9sRIYhD9TmS7MZkSciN71LmB+aDhrqpQCYByujhMyIA4mbrRfoGaDCzZ8Zpr57R+cMQB68iMYvNiLDmAfaj76FPDCCeah7V3T3UwutOIRQGAh50DJGSI04sP2EPLhrhybt8gCGaYt9fDoLgHmwIhq/2IgMYx5os7HQWgqCeaD9x+AZSXNMb2wtBQh50DJGSI04sP2EPLhrh3aHAQ3TWXHBeZed/D0+LaLxi43IEPMw19t+x/ZSgCcA62bq3lzSrNO7QSAKQBa8jNBxIwZM7VdHBHIwV/VNV/IcTDrP4oYHkwKeAyjC0ZuNQC+kgObrYwa2DAmoK2vTHws0IzUPTIAAmAAro1zMiAHkBfmbWwPWOyTfQWqUhmpudMwA0PciErvaQG6B/aqv1x1qgCCQgXv1dS7IwN33MZgeiACYASujdMyIAuIHcwCuDVo/YMIsJHphgAejApAFLyKM1EZkiHkYe1gM86DIExAaScuWB9p0jxZlWygKQB68jBByIwawH8gDujZo7yQHdude6g2+GfA0QBEJX0xEfiELtNtBwe6CIpCFsjqcGbJQ1g+b4AdRALNgZZSOGVFA/GAWwLVBhV/B1G6t630XegsKQBa8iBASE5FfyALt4K8rrwRZ91ENWaA52vzWwG5oB+MCzyYFMAtWRumYEQPYD2ZBgsEs0OzxBo3DoPVrHdMgAKTBi0j8aiNyxjzQLhqlYx4UeQJy70NE1Q/Nk1059VAUgDx4GSHkRgxgP5AHdG0QbccFz4ZOm3rBk1lkz4IXkODVQKQXkkArDsJ7tSKQBPpo2r2nQNNqrw5PagUwCVZG2ZgRA9gPJgFcK0Qnxk14MvSa5dVIfLMMSbACHLwZiPRCEug81xmSIAgk4abTpvw1ot80sIGBCIBJsDLKxowYwH4wCeDaoNXT4aesGqbRZqwKAkAavIjErzYiQ8wDTbrt4c1akScgq7d5eR4afeqd8KRWAPLgZYSQGzGA/UAe0LVCg86jgtfKRhvhJMiDAp4HKMLxm43IMOSh0IeFjnkQBPJQaNzCXyNotm6+MA8CYB6sjBIyIwawH8wDuDZo/bYZ6gOdDlBxkEcByIMXkfjVRmQYxh/paKNaO44/KiTTqmkAj+b35ioLCxlYb7B554KHAdtF4xtyl/JQIc0grtBrAZnjFRvAQJDtmQct6dPlXaAySnBmdFX67qv1aGy0rUZpcssgsUmZF4ZhYHqfkFAnDkwrtMeGeZi30lL3/a7e6v5hKi12370SK0EL+RKODdNnx6JTjOnnpW+UaXdzZRRaARiYVghGxd2OjHirLxvx1mj2qLhCFrEYFlYvNMNnC7X0+QrtLwdDbCl7+SpA06MHr0xVwNOhkLFXK7Qu8N6AeBIAPlsotJ0XZu9q/D0EDAuAzhWyAMWKU6hHDvf05mt/WYF0nBB8VzJb96qdo4I3BywigzRqs6K8zJOn44Tgc5qr0W6yEw0rAM4N0gDVilOINMP3TkzHAT150jHnWm3J50T3ZoBHpJBFrVaMl3qCdBzQdp4eNWjxd1SwKwD6VsjiYyNOIJIMX8IxGQfkH6PNlH5oNl8OWDwGWcxixEipH0jFAcFHeFDjD+xgVwDIhUGaC7ViyThIymTqW9QsGScEsxQ8GzwHwZOhsudCEA3ZTCgpc+O5OKHt+dpHo7mazLNwwwqAb4MsPLHi8UeOnItVc1nNc3FAFFHbI69gq01JtHozwCNSyKJWK8ZLPUE6Dmg7zzQEjWqJxl7RsADoXCELUKw4hUiT00HfPmKTckJ7mnTaE2HMFk2Ezlg3HLCIDNKozYrxUk+QjgOidMw9wopqjY4shnQoAOkwSNOhViwdB02exLwqcI5NyglROnKNtmiD7YlNigOeDoUsHWpFeZknT8cJbedZ2JvaPloDDQuAzhWyAMWKU4g0w3GZmI4DevrBkG5LDnB0bwZ4RApZ1GrFeKknSMcBPf2YXlDbhzG6XZHBtSIanZqw+A+OPD14r1nBVBzIno29DyN1S+WqYkl8OWDhGKQRmxWlpI48EQeyXe9DLSAPk99OPBEKQCYMsvDEihMIHDkTOXavP18hCmh16LFlKuv1BLNusidCEMuDWLA0qBPIwwFtv2VvTglqmbbrQLsCoGuFLDqx4uFHhjJl/BI1z8QB7dncKb6O0HztC7s0DnhEClnUasV4qSdIxwGR86Yde1WjtZH4HDIAnBukAaoVpxBp8qTjVZOveI+cEM0EvhrtS+O26jUk1+LNAYvIII3arCgv8+TpOKHtPIVXln06b2nBsADoXCELMIXXkReanA5a8RXb1hPaM8EvybXa4iNuwZsBHpFCFrVaMV7qCdJxQOQ89/DKsoA97wUMKwDODdIA1YpROGhyOnoObx6fr9CeJ14OW7Q3NtZFBzwihSxqtWK81BOk44C28yu8stx11fuCbasB4NwgC/AKLyQvNHkmNy3Fia9rJ0TTrGmpN7Yoe5k5tq0OWEQGadRmRXmZJ0/HCW3n0r03rRJf1wwA3wZpfGLECBwkORnlDu8en6/QnnOeoqlS4uuaAx6PQhazGDFS6gdScUDketVofGtZQKdt6cGuAuDbII1PrTiDSPL3OJa70eZ+y8J6RadB3U/fRlojeVohHW17Hmf5XHtdY2lZ9hxRQLbsyHN1zErmvQLyPkDTxI8vue9Vl3a90dGJriti030sBOjXJWv9Fbh5AyoxR0eTbn12p+LSp2BUlEBVV0Wx/XEy2xt7r+SMMn7nzt6rb3Tz1tuNJpvsgxQMogNg17tmHnOfjvQD9R9qp+Bn3g9mBYgv1RAoQjcENR5mxABxRDoC9X2Kxz6xwaB002QYNdtpJf5qCM2zAsuKRmdlNH61YbK4+XhlTbuLv4Tz6VAbjV5rNJy9hfq63ywcBSAcK6O+1MY3wjE3tDi+Rs91vdNUz0TLq0fQIRMKoGstY67ViAHi6OOF4udrNOa60svTDa4FQNda5vR0pkGO9aEeT7Ftaj8d4POWZDGlnsUkC1j9rKb9wlv8um6nPaIIe35vQM5dUm05k0mt24lN6l2vS2yqHWP/Eec2Lc0rrHcIEJ+4pO8JeiSTvs/5qU17w1ws4YtlxAQs0vEVNwLJcUtmRM7rMDd2ZJMFoiUsUjVxspGfVpIrW9F+8ipaFZ+WXDplngFReAFM5fsfa3vLX5qwRT8p79ijxGhX493afcdpApocmTf9ae97ijw9PXl1xvapcqb1ipjWd/guWU/c6jednvQPUfjDTiRYV3g+3qPE8zToaAw+T2Ps05PoZIzZmh57FE8A+OU+Z6D31OX0pB/SqpFlrxXCwwV+RkfS5ZzH+8/5ZILZk3n5Yzla/U5wPMC/YcupjXe/DIcCfN95Nt+44RLdCbAAi5O5UBnX2lWWDyyyY+f4qm17HQrLsXO/o7W1g4QsjkLnnaUzjiKPIouk0HllA2LREhbNoSLx7BM/YCklis8v+4hnWIo5U1hxrKKtb1RA1j+Ktq6O3LZ9KSWK2xWudL9pRllBUykupVTAQsGV7IHG7lrPdsWlzxEg/w3WjE7eScmsi+jeBdDoGqwYFctANADkqsa81LAhgIrurIYNBUTbQ73OZc9z4rL1zxOgCCaulb4n7qg0425LE3diEj2LfOIK948vB7Ad4Rr3fehsMHc9DmfXI4SCa9gPGkQ1XQkXRn+ewLoJaTqCK6Ur7KpkokZgAEeo2hK/WjfCB0DuEmYo0QThBuZEdHcCaDgJf5eDDBNuKVTkA6AIGq6XTlfYX8lEjyDsz6TaFn9LoTIfwHaHa9z3Ge0JzIno7gSwcHAl+0GGCU9cJP15AiuC+/J10+kOeyyZaP7vsEcT61rsE1dzf3w5ACI7Y3YmZm7GvE7M+oy/SaCwadKn9VCRI0A0Mz7i0p1xuwsTnWjG7TJUWyMX6041AtsdZOZOIxhL43CWRgwGf5FAhMm28IuiSJ4b7tyxRGx0THTfYX8m1bbIW/hFUdyuYlYaNjomgitsdFTbAz1+U/pIHu7VCFAP4QKitAEYWFfRvCsg0W1djVwsO9EIENWJjU6i5V14H8x+3Cezh/toYqNzEGGyOTY6B7C7Q+HhlmBnJRGcKuzIpHpGNcdG5wC2I2x0En0SD+Zio2OAhYKNzkGDqbaj0YnAPoAxNDqJ94k0DyJ6BAJohD00OmIdCLej0UktZqiFRkdFd9dCoyPaFmx7aXTydTQ6EaATP6/wgMthhyUTLYIcdmhSbY1frDvhCGx3odFJMzQ6KjrhGRqdHDaJPMgw4Xw0OhF48omnbiHssmSi0w27NLGukc1HoxMBcpVjdjJmLse8Zsx6jr9Jfml0cj8anQiQ7x4ecTnssWSi+w97NKm2Rd6PRicC2x1mpnWsxiq6MwEsGPxF+kujU67wi6L4JDE0OiXsrWSi+S5hbybV1sjLFX5RFLerkJVyhUZHRXAVGh3R9kCP37SEHSE/T4D8FyQa9lQy0b2HPZlY1yIPm0h+fDkAchW2kUwlh0ZHRXeWQ6NTwmaRBxEm249GJwIUQQ8PtwK7Kong3mE3JtWzyPvR6ERgO8LM9NDkqAiuQpOzdT3ElwanyhaLTWlG4EkA02QgVdlAUkXeIHLq3uML4Ccg7wZsIm8cbNoawQFsdxC9BOMi7kK8tblBVWdyvQZtCZXp7pf5luxXjcDTAQ2Yji1Naj9RJVKR/O9RCb++m3s1pqKdHnEAT9OXEyRS3aMaTU6QYN92nMQSy9a2wjvQm3/5g4iQXUDVo1KC+FRRU8XM6lDPO5A6zDdHbtdpL3DT3YJu4h7Ep4qaTTGjCRI3XhskDLveQBfCd3qDI/qMotKblyZn2523st1+RXR6dp1iNl0SBmQiBTdbbOEHH0W9bjfDU8Nh+PUGuhC+0espeUV18ali0dSQ3Z4a+lXR6Pl12pPfdLeQ7BcA8amiZWKbuSfWVhWNHlxvoAvhO73asHKqqPTq0NRsu+3Cyqmi07PrFLPpbqFh5UQ3WyxYOXtNWDlVdHp+vYEuhO/05oWVU0WlNxNWTvqyBZVTRadn1ylm093ChZUT3exjNAZWTlpEh25GNzcchl9voAvhG72RClZOFZ8qdnxo0vHQUDlVNHp+nc43Md0tFKyc6GaLCSvnSDdWThWNHlxvoAvhO706sHKqqPTahZVztISVU0WnZ9cpZtPdB9YMrJzoZosdm5ZRW3BToXHYYVRoOlwXwnd6dhJBEJXeDA3DsOae/VqTqnHZdYp5QsMwpjeWICq9GRqGYQ09uxkzVk643kAXwjd69IEA7j0VnypOrJwzX1g5VTR6fp3OijLdLYSGAd1s0TKxzaTQMKho9OB6A10I3+m1W6aSBFHptdAwzFbxplDR6dl1irlBw6B2lR642UeDTaycM/YeJvQeOAy/3kAXwnd6s2LlVFHpzY6Vc86BlVNFpzehLXDdLVSsnOhmi6FhmDNFN0fDANcb6EL4Ro8XMmalp+LTxH0+o9jl1X5Z/apo9Pz6XgynujmZXaGHbraYuuixmbRPGjQ3Sc4htDDsegNdCP/Hbiyqp9zDnLQTos88YeY7nb2GE75Mtjlhiui0sRnmvJsDn4x2QttnjnNf6Vy5MB3UAHR8TCs1Kx58ZMdf1FZnN8Upzie0v+vd69GAtmp+DJwG6IBHpJBFrVaMl3qCdBwQOS+d9tsDtXJMBzUAnJdjWqlZcQqRJqeDDpqrMR0HRBHR62+wxUfigjcDPCKFLGq1YrzUE6TjgLbz1W2oQe2YDmoAOj+mlZoVpxBp8ieq9XqXwhTnF4i+Ha06j7YSbWQ0oC4CoBE5JFG7FeHlniwdL9B2XmnDQ1Tbk0/QsADg3CANUK0YhYMmp2NV4DZiOg6IIqJeebBFEx0aejPAI1LIolYrxks9QToOaDu/wjTfdJXxuNGuyOBaEYvuCjN4XzhyLlbtTTPm4oAonBUGqi5gSqLVmwEekEIWs1oxUuoJcnFA23l+hFSsOt9DLhRA3wpZfGzECUSS/NnvnqJlyTgh+lC1OvyAJNoHL8H8ZgAsHoM0ZjWipMyPp+KEyPU9ZDqzqfVHTmhXAfBtkManVozBQZKTQTMhU0zGAVFENHcv2FrvCxMz74BHpJBFrVaMl3qCdBzQdr4nyKLaRdsjomEB0LlCFqBYcQqRJqdj+cBSn6/Q/oh5Pe6MtpaXGpJvgEekkEWtVoyXeoJ0HBA5HzS/LKhV2v0PDCsAzg3SANWKUTho8ifGlETN0nFC9N0vFcm12KIj7ycm3wGLyCCN2qwoL/Pk6Tih7Xzvwwdqq953bFIMAOcGWYBixSlEmpyO9co8e0zHAVFE690l2lrvLxmbFAc8IoUsarVivNQTpOOAtvNCs11RLT/yDIYFQOcKWYBixSlEmpyOVYFzbFVOiCJaRju2sLQl88RWxQGPSCGLWq0YL/UE6Tggcr70b2xWEo2hol2RwbUiGp2a8PgjR/6GmeJtEmT6pEhblaKVTHuZoh8HLBSDNFqzonTYjacgyNtterQ7KGi33kzq2wK4VchCEyse/Hlr5D1mFFNwQBQOjWYFQy34aUcgLUSqysZFHQD/AyKfe2grqJXYmTUAPBukoakVi/xgx1mgJQc5ZuGAKKL1Z7Q1m+RXvRngESlkUasV46WeIB0HtJ1fj4aP2Ty0K6+GFQDnBlmAYsUpRJr8XZTe/GNrekL0yZJmbaGtwmME7s0Bi8ggjdqsKC/z5Ok4oe18LxdAtULz2NGwAODcIA1QrRiFgyano92i5uk4IIqI9j4Ktmh3JKyLDnhEClnUasV4qSdIxwGRc9oMCR+zpe790MGwAuDcIA1QrTiFSJPTQYOye/8ret3dA3gnRBFN7lMrtIC6jQPQ5KVk1YDOzGjDpO2Pd2wCgDd5Mise0Qu0nZeDmQQIwMVvHFX2c0xlaDfbfEsRDu+FJA/13ddCVr1KFw9lovw0uT7Kvb+U07azBLS9mCzRMVsVgP1xfW8ajWX67lGoVQAyLbdgpQg90c5FOzMkOk+s783BVo9lFAhGAPmwT22m6+zo70ef7S1yE/Zigl4ZZuIEROiJELXIA1jTmPCdITYBkJGXGbtnB1YUYE9bKUJPhGg50Q3Zk7Vk7tzWm3mAXkYpmJVIM6Zj3WO995AOgTAdq5Ku3jukY1XG1TpARAJgOryM8HIrCrAnTAc6V2j9wg0r03py3LWBcwEwHV5GKZiVSDOkgz5K95YxHQo9EaLjVuCe6PnSisoRKQDpgDLMC6wo0GQDvRfoiVDZGwC64XUj3QXSoQCkA8ooBbMSacZ0rP4Q7WP4+QphOlqipU2QjtVU0J7dHpEAmA4vI7zcigKXbKv4AmE66CUmN0gHvUfwXB9xLgCmw8sIBbcSacZ0rAqcc6wdAmE61lO5lwLpmHsrIA+IZUyGlRBSbkIBdoO5QM8K5b3dJti9H/PGXAiAufAyGr9ZiRxDLgbtx7U3+36BIBeDVlnm6rkYOT3wuSEy5MJLMCkwIYC4gVwEzwq1vQWr210tW78SuBYAcgFllJJZiRxjLlZPiE6B/3yFMBet7v1H3VujBX1QMRTAbHgZ4eVWFGBPmA50rtD9GBPT0WjXCkyHAJgOL6MUzEqkGdNBPaEZ0yEQpGOuvkm9mqdjXuuHviEiBSAdUIZ5gRUhKp4wHehcIVqlPSEd1A3r0L4rgOnwMsrKrESaIR0z03YgFdOhEKYjF+qEejby6ohNeKorgNnwMpINM6Iy+4FkBNcKXXv/bre7Kvnq7oNvASAZUEYJmJVIMiaDpuC3mAyBMBk0M5/7LuKNFgoMeJApgNnwMsLLrSjQZEf3FwjTQUsea4F0rEq++tzgXABMh5dRCmYl0gzpuC/aXjKkQ6FngPIDb5UF7A1vLCIFIB1QhnmBFQO2J0hHcC7pmOuHLpiOVclThseWApgOLyPs3UqkeaRj1ehWYjoYCunIe78qSEeej9QwHQyEdFgZpWpWDNieQjrAuUH5gW3s3g4Z2xUFIB1QxiiolUjzx+8Ik2j3JXox1zNadvI0lHrxaVH6iqiFeHV1vvZBzusJXmgyxecJPAFINBiS6cMozbGgGeqJxLwnY7D4QcUTXr2i7gW2d+HrdCZApekcaqxFV81cSSh6vUXdFpz91qnQioZAlgEge+1P8+bhahI/R8CikbWrV9S9wDaQBWcM3JodMsaTNMyV7qhhodj1FnVbcGZkZ28y7+wAng7IxjvsYXaehCgRqChk4eoVdS+wbWSDMwZ4DqAYm6rNrnR6nYVi11vUbcGZky23TNM6ACdbeNKoesg9RJC7R5Dw6hV1L7DtZNEZA5adZazwfE51VXR6p4bi11vUbcGZk726TLk7ACd7VU3Y9nAVjX9HIKKS9atX1L3AtpNFZwwMjX8Zu6/g6r7c1Q7Fr7eo24IzIzu6Tjw/gKcDl9ZM8jDa1Pjzng87/cdKePWKuhfYNrLBGQPVq/HoDe8YFY0sXG9RtwVnTjbPWI0VcLK5acK2h1yxGquoZP3qFXUvsO1k0dkGimVnGSt3cFXueM/C9RZ1W3DmZC9dEHIATvbKWI3HdeGNpKKS9atX1L3AtpNFZww0r8bjGliNVXSyfr1F3RacGdner1iNFTCyvQ2sxr11rMYqClm4ekXdC2wb2eCMgaTxL2O9YDVW0cjC9RZ1W3DmZPPR9CjgZHPBamxbwEkEvgXcji+HtgZ0L7DtZPPR9PQ8vBr3PKOro+mB6y3qtuDMyV4pVmMFnOwVmp42B1bjZrOEd3xw9Yq6F9h2suiMAWh6+tWwGqvoZP16i7otODOyrR1NjwJPBxpW49ZC06Oikm2h6QHdC2wb2eBsA/3yatz6jXeMikYWrreo24IzJ5tLrMYKONlsz7ztIV94IzWbvc/x5dDWgO4Ftp0sOmMAmh7a3i64OpoeuN6ibgvOiCwthnprl7ezASD/6592abiJFjZqK5p4Wbk/HhOvwrTnIa7RXOIw3R2qi57TKzQcGoaYatB32a6adVckaq1RgQQTLbiC/vMEKIJ6wTLlvGc7LlHvChH9FpTiWpHYXNcbuPDqWu8BBYDcFV5Uavq83FarqYj+LJTiJdrXliCQYcIDdxD4PAGKYBQwOHgNvtIV0W8jATRc0u3aUWbL3e/YAGxXO1mm0AeY2oI72qKFgRtFHBQ2zftuUOLzBJ4E8NYtYuNOl9tnwXyzKHGJnsYsdp1kBLajgsUT/N4muisBNJAbaEYKTLNegWSN+wosIGGi7pqx8qro3gXQ6FjbYmfrQJW8A9ESM1N6MCaiOxNAgynx9wBmTHUUuP55AuR/4GYEmeYXFrAvovsXQONjbYuerQPZAGx3MTvjxjtBRXB3450k2h4sktmE0z3jnRqBFUFKuO3AEsE+C+adRYlN9DRysetUI0CO7pCbdMPvyoI7uuE3FT0LMBBgkhW3rPk8AfJdwxOO5gXCDaKi+6/4QFVti5ytA9UAbHdItEyswiq6MwEsGCQbiDDZESowiuR5zJCseWH1VdF9z9DQiLZFPkLlRXG7ilkZJZoqh6tRQigj/iLjqLg0my9U3Ag8CYCqn1NoYlQ07wpIdFtXIxfLTjQC21VoYvINlYMFd3QPDCM0MZEC06xHExMB8l1xR5ucGzQxLLjvBk2M6FnM9WhiIrAdIcUamhgV3VUNTczWtRDrSxOTZ2hiUCTPMzzGaFIe3BAquu8ZGhjRtsjnFWjO0LzkEZqXvZcxmBpH86KAhjJC84I0Ns2SjuYlAk8C4LcsKTQuKpp3BSS6rauRi2UnGoHtKuSlpNC0qAjOQtMi2h7qS9NSwkacnydAEYS9O5eI9lv03jC2FpoWsQtUA0COamhaSoXflAV3VOH3FD0LMBBgkvNoWiJAvmd4kJUZmhYV3f8MTYtoW+TzaFoisN3F3IzQuKjo7kZoXETbg31pXmrYgvPzBJ4EhCam5tDEqGgRKCARirbGL9adcAS2u5Ah2iImmDuaGQU0nBR+nUiGCbejoYkARdDgRqgtNDQquv8WGpqta7G3o6GJALmqMTsVqgoL7qhCNRM9D/KlodnzOgPNeTQ0NezXudoSaGhYMN8salwzNDRiF0jOo6GpE3MyQ0OjotOcoaHZukZzxobmRy3OzvSxuBb/oPkN6InQetOguZD01Zk/2q7X5EoynUdr8seXRIvhe8MS5VF7MKEAu9k6EXoG6KYlX2B3Nb41o2sGth2NjiGktK28cOQXegPvSqu7Pl+hkIv1gtkT5uK+aZd8iIiBkA0ro7zMigHbU0iHOkeoUxRoeDx6+CUYCOlgCClsKy80QzroWIXVGmE6FIJ0zD4eM0PVoM+Ke4KVRqQApAPKMC+wIoB4gnS4c4DW71yhdsx1O8xWwLkAkA6FgBVbeaEZ07Hq83q2hHQIhOkoK5EVslEST7azgATAbHgZoWVGVGY/mAxzDdD6lWlCrtudPB/WfTOAyRAICLCVF5IxGav21n6HZAiEybgvmtHhzq71K1f8dQTAZHgZoWVGVGY/mAxzDVDek5Hd7r1+9dHBtwCYDIGAAFt5IRmSMVZtponhn6/QE6HK83PV2+h5BQI/jwKQDSjDvMCKAuwJ0uHOAVo/82yejkGNzJXAuQCQDoWAAlt5oRnTUfJjhGRsAFNR1v014C6hz5p3nxCNAJgKLyOc3IoC5AcTIY4BqKtRxDSsyp3uGx0zgGkQCMJnKwfBmAT6BB+rBCOYBvoufxVIw1V5Pr9FIwCmwcsIJ7eiwHaEeVDXjtw3Lw0ys6til4yJEAATIZATECsnx5CJvmrsJR+3DuiJUOKlHuqs9/tRLsiFApALKMO0wIoC7AmS4c4Bajy5zg3TDLCGzhmAbCgEFNjKC82YDpr1ksP9oRCmYx8EBA8LPYLKI7JjqjxqLyO83IoA4gnTYc4B2luXuF2aO1MxGwJgNgQCUtvIC8mYDDqEspaQDIEwGXKclTuj4yMzJkMATIaXEVZuRYGm679OCJOxbq+9JMwN0+YZFZ0zgNkQCCiwlReaIR37W2oLHVCFngitTNbh6dgfWbG2KgDpgDLMC6wowJ4gHe4coPU7d0hHo32bB7TpCkA6FAIKbOWFZkxHpjWKMR0CYTryusu42yPe8vqhGzzKFMB0eBnh5VYUYE+YDnMOEG2cMiAdef3yE9MhAKZDIKDAVl5oSjoavTr8QAc/3vusqBdop2N1qQlZXZhr2xZ53YZzt+GqsjI9+EMrHTWZfFHjAtI+gB2Aex/Arla2UoTwl6CJDhNpSHhguMtiD3BOW55UDJDLvJDkZOR4lPvnK0QR5RzOCs80GfjeQHuM3XQbQEMkH6iSd/sKZu/VQ6Z49nozL7GVIrS/6k85hlvt0Kq0vf6/7NV7AHAsH6jES3jd8N6ltr+9kORktCKWWO3zFaKI1q2PZ6AvYOzK68kwoMiaQ4CUhlm5VpeYXhjMEwMfX16g7TzL4eqmttrsOxhWAJwrZAGqFaMQaXI6Jg33hWxEhD45ruqLipkOKOPUiy8HLB6HJGa3oqzUkeciIpQKOhfjDko0qwBTYYCnwiBNhVnRVESO/KWXVoqkkAo61CXdMRdZTnrXVOTGljQTKnsiFNE8qAVh5E4sDx6KJYKOdRk5qF00zRrtKgCuFbLo1IqFH0lzJloXNc/EAVFEe9YS2qL2CGugAx6RQRq1WVFe5snTcUDknAZNQxZp/hY+ihxw5wZpgGZFKRw0+fvpehCnGtJxQvRxkw7tQ1t0fkxIvgMWkUMStVsRXu7J0nFClI5Vn0fDdMwhR45rOgzwdBik6TArRiHS5HTkGk4z/3yFnn60ntvKeia8psMAT4dBmg6zoukwT56OA9rOaY1cUEty7LYZVgCcK2QBqhWjEGlyOlYFTiOm44AoInrrCrZ6isl3wCMySKM2K8rLPHk6Doicr1o98MlLR9Dw+dRq2AB3bpAGaFaMQqTJ321XBe4hGwdCn1Rprie23HSCZsLG1QGLxyGJ2a0IK3NkuTiQ7To9atC55NRts6oAeFbIohMjFn5gyHlYNTc+Qg+EglnVPdgpt2RYHRngwRikAasRZaRuPAsR2Y7r7lqCUtkdVLCqgHs2SKMzKxp/ZMh56LdoeSIOiALqJRx+voD6yCHnBnhABmnQZkVpmSdPxgFt5xd9+AC1tt458DHkgDs3yAJUK0Yh0uSvw6vS5hLScUL0yXbV9WCLzr+Z2KNxwCJySKJ2K8LLPVk6Tmg71069qWk32gwrAM4VsgDVilGINDkdq/L22JacEEVU0uPGppVOyQnJd8AjMkijNivKyzx5Og6InK9KXVtQ0069GjbAnRukAZoVpXDQ5HT0Et46Pl8hiqi3oLqALrlWbwZ4RAZp1GZFeZknT8cBbeerFz+C2iWvGWZYAXCukAWoVoxCpMlfoOl1PL6qnRB9HKZvHdi00qY8IfkOWEQOSdRuRXi5J0vHCZHzq+EbS6bjdbDSmeyeFdHg1IJGfzDkTNDAYExERCiUUuL7Xi1VkqyuDPBoDNKAzYoyUkeehohs16sTjw/eymeyg1kD3LVBFp5aMQKBI2ei91Do8xWigPqIL3wUWcUa6IAHZJAGbVaUlnnyZBzQdl7C68oCMi3/RcMKuHODNECzohQOmj9+kXamYZn949JYQdujYrRoAbudTy+lo0xyPvrvcZ55pspE79/r+uq77fPM/+3XH+7VkbzGlCPE+7zff/51b97V5OjycV3t/Vd0tHmitQX1/U+/VtqPpbf3P/tKcxD6yO39z7/+kPc2JPf7z77uc3xSff8LPht97KLz/Sdft7N+s+JiWeoqTQeW07QiORG9rTfQfSL6v/uqFv+9H2r+V1/+L0PNsA8NCmVuZHN0cmVhbQplbmRvYmoKMTUzIDAgb2JqCjw8Ci9MZW5ndGggMzgxNjAKL1R5cGUgL1hPYmplY3QKL1N1YnR5cGUgL0Zvcm0KL0Zvcm1UeXBlIDEKL1BURVguRmlsZU5hbWUgKC4vZmlndXJlcy9yaWdodC10by1iZS1mb3Jnb3R0ZW4ucGRmKQovUFRFWC5QYWdlTnVtYmVyIDEKL1BURVguSW5mb0RpY3QgMjU2IDAgUgovQkJveCBbMCAwIDc2MyA0MzZdCi9SZXNvdXJjZXMgPDwKL1Byb2NTZXQgWy9QREYgL1RleHRdCi9FeHRHU3RhdGUgPDwKL1I3IDI1NyAwIFIKPj4KL0ZvbnQgPDwKL1IxMiAyNTggMCBSCi9SOCAyNTkgMCBSCi9SMTAgMjYwIDAgUgo+Pgo+PgovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCniczL1LryZJciUGPpuTFDijJod6be4yS0Bdhb89tgKEAbgT1TuNVlfgNIS4AjgCJOjfy83tdcy/7K7MbhIQCoW8dsLdzI6FfeHxcDf/57frPb1d9J/8+/H55X/4x/H2n/6vL+P9mnW+/T9f0ts/rP//jy+72ds//ocv//yW3q+r1byBn6/3+65tavfSlzzH28+llvze77fPL6ON/t6qQ49DtYzyPgiyjt+AvONvv/wvb//zj7vwr6A8lfeyWCA/hYBfHnd5zwXtfQPyjn+gC/8Kyv81z196o//+83/60nt+L/d8KzXV94uMKVJLuwhZWsZ7uu/8DUR7PS96ni//9N//AtHe5vvME4ka9KOsXnQpUf7RLKL//CXx3/LPx+fb//ib9Vubbzm/zzLvt9/8E7VeqseYZZ211SjP99avxbP3RWQ1+fzyv379k59+Ttd7LWl8/dOf1l+l1fb1z376ub2XPmoVsMz29c9/+t9+8w9ffk75vV1jUm6sxitIv/nfl5q/2GqW4/PrX1LnOkuqX3/1U+7v6Zrj61/x8ZHH13/z07VS6irl/vof/0/S3uvVl0nS/j/95sv/L34xllFljneK2WqQZ8v02xAkr8DG/HlFtNfzouc7MmrF/L2lHH6XCv0oqxdd/7IZ1RfvOuuRUZY8Y1hGjWRgXRm1EuVajn/9658W+5RSzV//C06f3NPX//ifCc75Skv4M86gOvrXv1n9CiUntP23P6WV1aVX+ut6H0s9JNrf/HB26Q/08zsvTj90MdRz9fmdeXokZU55Bfgt93VxmpQXfa4L1jRgXUHmnd67Af1ewVnH50SxJBY/vujxeskl0YCyAVVXW2WRzYn4YQ4J8HzJV+iQr3XJqabORDa3+jOgDj0KqMOqTugc/D/ot5Tfc6rr/uL3n4G8LkbvN8W2rx9Ebjt2ub3P5BBFb7ldm0N9jnv9fhYw73WR6w6UdK/OxMHb1PUjS2PrMaiu3115c8W1j/dKetS4AB/gokAUjUm/GIfy1dp77q4YADZOMRVIXXwcUhquWIi+xOfjvE6ku+zcKXfnEdaAKhc/B9Y/99sSK53bUtc/k8SV1CZ+UPOLm8vxvHyD3ipOThUD2P4DwBT9rO5eKJhjcZtjd+y40NHeyI7YG0SXbiScKUUnEN756IQz/Uhu80BEJ2zH2X/rrWLX+Ag/tg+EUxMGTDh1NCciELbjQqcF/qwdCeeSqIUTTrMQ8ACQJWiVf72JdKgHIjphO87+W28Vi54hiQDbfwDQ+HL8SkNzIjphPy50tDeyQ8KJbwiB8JVjSl+WNNvCZUmzPRDRCdtx9t96C2HW7oST3pA6oAHl+LWCKS2iE/bjQichf9EuhNn/dTXRlGYGPVtKC5As6crm4L/yACwxb5X8s/2/13G6CVhAmaryurfKIkEJ4v/7Jc17MKA/7HnXHUUGlsgGy3baRQ36vMWDa+e5Hq9Zem+haI5cfEL5orO9a9zcgDUYUYu2f6UbGLtF87Rkh9cPV1pkOt7LedwisO6XyMNx4Q//GhnTWo5++DnQ5nrSJv7o5Bzu00rD8g75dmid1pkqABTSlE1cwhXiq6IFVAAN6O6r4RTNVXNYbVf9ycwe4987qOrxzLEobkg/dTJw2jTHuKHFojnot4w0R7mgUxr5hsxyUe0rIN5pb/FctRtVtW9Ux4TIrJvjoExEN6aAODPhjERmm2y/J1Lt7UKi63YYg9VrZ96s20S1rYD4pr3Fc9ZtNNmyk7xiVC6JitAU0WkqIDSvcEaQFdNcw1FGoq3PmLqtA9HWw6XBRLWugHjHfcVz1exExbZR7SnGRa4EGjURPaoKSNRTPCeB2SbbSokJXGeLCVw1SVhHnZAxIqh1FsU37Seeq16jqpaNaisSKIlNGZi8KnpcC16jrbeelcBrU60tnNX1tAcdiOiFP91Ed2Wg30S1r4DSvfCnadqNLls3srXF6LSKvwYVPbIKSNxbPCftOKul3zGFS04ALPtFE0XIaqIIWRWNrKbhJc0nnirVbmTVvtEtI/xiy8iYxiq6OQXEnRF+sZHdJpxnj8NNLsdvNmu6sI5cgK4Iap1F8U37ieeq16iqZaNKD4oQm3xfoGwLbohFcWKGMxIZMckLU3yRXNePmMKp4SCbUgvXdxPVvgLinfYWz1W7U73wB0pUL8j49QCHKayik1VA6F7wW4vMNtmUQwJfI5zNa+CPN12aIKzbRLWtgPimvcVz1m002bKRTDlGJTf8JajoMVVAYp7jGclH4pIeTNz7lte9xvW+fZi9KUeuZOpBFvuOsIPcm3133cZVzRvbq4bL2LoHhbDVGNSKIa/h4hlpEdO78VtHoLruuhFZVFeKIPn78kjK30rz8nPgvYSm6VWablt53h3Csh4s0n27PpPNmiPsS4dTcvAirnPgkEqvz50jvWXB9nMliHDeukEW646wf66B/Wf9ypVtK885hnLjtsNiw7pMNmuOsD+mQfwdcVilF4N4/PPLqC0gz0I8FwYlCugHWTxwhH3k3uy/61a+bl85jzvGZ9w9/CRcNouOsE93PEcnx807pSOfOz0thHzunjcb6d2v9/K3eMAS++e92H/Xa5zNtnFOWTky5+S/W/7buCb/1Xov4XlwIp49z9Dm80ubV0CeL23EX3LznNl2QBYvHGEfXQP77zaUs/uhnHs54lRy+J24bFF2hM9BOc7PwZX4tzqO/G4XDkXtOrO9rhvDE9k298N4PXILZHl6BmT7XY/8rcDxQ7zRmBxSHcdvo9V4rWztCrpdtjPlCJ/LGq/RZ3woZnUPqGnyK6y6Bl/ukcQLQORFYu3MMd/34FcWvw8Z5QXZ74Zq58gteb9gqp2vnCqv2HY8eh29r6CfWl8vPhgy5dx2vToneV0DSNNeJOWkkuZH3u9z6tBfXd6vBevQX2WW17QcT+5fh+ZburfXEOsde4tJlVeIhsz7Up8Vmfs1oMVtTs44jZvIEjc7eh29r6Af41blNSIgEms6DzUHayJTfz2P2qIfvSPHwHs2eZPoyHUfWTavyRmgvK/GTJQ3y8pbj15H7yvoB97iw4OIxIr0df4dm7VucVN/tEU/ekeOgfcYjd+RO5LPX87ILfxOhmSceiKy8Laj19H7CvqBt/jwINKZyf4mzRlr1obFTf3RFv3oHTkG3v3OfF12pNYjz3stIc/7kXndMw+PXkfvK+gH3uLDg0izPO93j9bufuS5tehH78gx8k7pyPPWz6tp6znkedM8Ek9EFt529Dp6X0E/8k7pyPOeiuV5TzXkucjIW1v0o3fkGHi3fB95Xmc68rxqHomdOmbIc5GFtx29jt5X0A+8xQfg3cpleU7vnjDPRQbe1qIfvSPHwLvy5wzgXXwMMmSEPC9H5hXPPDx6Hb2voB94iw8PIrfleV23CmhNZOBtLfrRO3IMvEtvR57Ty6iY5/RBEfO8aB4p71Qgz+3odfS+gn7gLT48iAzL89JnyHORgbe16EfvyDHwzvxNEnjTV8SY51nzSOzkkkOeiyy87eh19L6CfuAtPjyIVMtzekUVrM2u1tQfbdGP3pFj5H1dR56nlo88T/zhy+ykI/OSZx4evY7eV9CPvK/ryPN8FctzeluF1kRG3tqiH70jx8A78f0c8L5GOvL80jwSO5fmkXgisvC2o9fR+wr6gbf4ALz39BbJ8yT3qxZluz+186At+tE7cgy86bki5Hm65x3zfCED83zJIfNUZt5+9Dp6X0E/8BYfHkSm5flV49PEVa8jz61FP3pHjsg73a3GPOcPwXfgrXeeyvsKI4vKyvsqkWe8b1X9zlt9eBAZmufr7/A0oLLz9hb96B05Bt5zlJjnaeYW83whGfN8yQnzXGXhbUevo/cV9ANv8eFBpGqer79btDbsuqj+aIt+9I4cA+9xX0eej3o8x6ZRw3PskkPmqSy87eh19L6CfuAtPjyIZM3z9XeN1u4a89xb9KN35Bh5X/PI896P59DUNY/ETtc8Ek96G5DndvQ6el9BP/K+5pHnI0nsiFUKTwMqI+8UnkO9d+QYePd8PIemNo7n0NT0+UbstCPzmmceHr2O3lfQD7zFhweRaXnec3gaUBl4W4t+9I4cA+/G01aAd73t6mpIeA5dchhZVBbedvQ6el9BP/ButR553qo9h6ZWw9OAysDbWvSjd+QYeNd+PIemmo7n0IXkkOc1pZDnNSXIczt6Hb2voB94iw8PItXyvPbwNKAy8LYW/egdOfI7viSzyHmyHL3n47en/PWW3/PpTPMhk3HrLX6Vrmdo3tKmy92tvlFdCLzVREm1GpIuk1pK2pvfaJqsoxcgO3u5N49UrltHLrbd7G0vSnXyu1DVTcgI1l7lDp7Qu7tEzwbyVjRrbCa+B/yGfLw3WefA3rPJuS0zjiRlxitYmZY70yR9L+tyPMf8PjxLG4735xf6MYhfx3tnOydV4yTnpMa4fXwBhM+JaZDzYjbsvJgfdm4qnMeiuSj6XFaLhqhPkEMHx48v//RlDWw106qx6+0ffmFmN02+ey803Zl+oY1nNSpEK15KkSl6Cq2EL297GiNNeC5kdiSeyEjLWxTY8zPpFGEbuqVGJSZvO9RFEHHmQWS8ucaa5ntGqwJ8fHHPvI0xHG8vfHlip9Er6b3UEAR6DtS5nAal9zkgCHnSIh1wRwAMgrURQqbE5KqTLDUs7MyDSHkfDeJQSn2/O0afAYyDtzGSqiWyjqHI9dZZrgZdK5ViPqzEf5+YD+uJ5X3fkKtHAmAorI3QMiUaCrYDoRBnIBR5PRhz3ml815PxjYYFwFB4G2VkWiLrGIpEk0VbCEVayXXHrEipv7eJoUi03gZDwUAIhbbRUKgSk7cdCIU48yAyaXUDKKWpr8EwAxgKb2MkVUtkLaGQbteUX4dovtZ93F60gdCgttvBvRDn5z3X91vIktdFq265vFeeAH3RMtiFtEaH9oTmFQOAXgCaBb2eo9nBdYr7ztE59w/coAUUjs/VyvusAdh6aE7tGnvyRvaKEWyycnYDTWi2W2I61z1d2536ytvJLre9QAQgmvpR+4bu972UbUGDl5rQ246SOEB9L2xZgU52BWz0ayFond95tGp0jeN511se4Zd10RSbAqkhDT7wfGkfP8dNLpxw0nmm9Irkzg2azV3Lnit9VfGOISJ/ZTnJDC0gyVnWM+GABd4hibxrkci7pQ18BH82RMbXuW0duy0Td1DsgBl3SBx0LULhYC4zqtetTArhGCuqeYRwjPXIfwG0nshW5kywBoB6BBB7DVqYF1jScIA/Go4xcszfsR735Vchih0w4w6Jg65FKBzMeTIyJVsL4ejrMT+lEI6+bmYGJMwChvx8xBoA6hFA7DVoYV5gScMB/mg4+p1iUtHXqlpQsQNm3CFx0LUIhYM5h+PqdEnDcNBXK8kzDUdbdkOmtdZpRHBrAKhHALHXoIV5gSULh/tj4aB3ARPDQS8LUDEAFg6HJByuRcJxMOfZ21kviRYOeuZqdwgHTRnA5Kj0NJbAGADqEEDstCthVmBHgwHeaDDaGvga5kbLNsxIlHMcd7Yeg+RsuRY5nwdvnt+9nhHSCMEo9KYg5kahV1iQVgtI5JlbA0A9Aoi9Bi3MCyxpOMAfDUetTXNMoli75piE2QE7FQ7J6XItckIP5jIHfN0L5xgOKiEwYzhoyhdehcrKxIbRMNmCYYjEwlVILNyMxgKc0ViUdXeCF9b9AgDHFJfNsiHim6sQ5w/OPG163U7VOMDSirsRB9hcrphjOd90A+/WAFCHAGKfQQuTAksaC/BHY7GfWzCd8rpFujDIAJhxh8RB1yIUDuY8sfre90UYDvpAhtdLmvW8HsgTXn/SysIbB1gA1COA2GvQwrzAkoYD/NFw0LNLiMa6jwkDNwAWDYfEP1MiBA7eHIx1H3jH4ZXuG3McXulD2oVXULrT7jh6AaAOAcROgxamBZYsGO6PBWM9rZSKMVy3MQ0VA2BnwiGJhmuRcBzMeTb6eqwdYXilb2dXDePJvZ4Beoefyr0SscLgBbL4A8h2GVVsUmhGYwHOaCyu0ujJDUK4blnCoA2AnQiH5GS5FjmdB22er043KDEWdLN8h+snfXJreAm6L7plgqs1AhoNgDgcoIXDAZYkHOiPhGN/XcuQLfe6hbkS/FAQUOMAsYOghSmczHlK+7o9GxPDMdejTCvhskFf4lKDcMyVh3eDqygC4hFC22vUsnmhJQkH+iPhmOuGusLgSh/lJkQZZLXsCDvnGtj7k/Se+L3uS+8cbrrow1uaYTwZZZGaEMRR6M0yRAIB8Qeh7TJq2ZzQkkQC/ZFIjHW7UhJA9J2u4XiCgBoHiB0ELUzhZL7DsZ63Rw+XUPr+dsXbLvpk1wu06isNa4UnFATEI4S4RAVo2bzQkoYD/NFwUCGJBrlCn+80wTgcAGg4AOJwgBYOx8mcp8uvW5QUhlea697D4yt9uFv3zw41utvG0QsBcQih7TRq2bTAkAQDvZFg0Ce7cUMr+qanOcZRBkDPBEB8tkALn8+TN38rqOumOFxD12XuPc8SonHRry5cR+iLXot3qvTRrySONhXieaOvgjcoAnm/iaKJ9IZsHnXdtKcMIyfqlJIn6J9E7FsQEDOoWbLy2ajjfRbIXgT0nALE5x20cGacIdRvb7Vuv9fI1cr+6Lg08YhKlZD2pyBHbnohy1+H8tw/F7pFz78AZZooY5PcFRr8HWnde955A51emVS686b7CQVW+NfjcrtuaNPoDmyAFgBu+RylEPgDUOMiRGZtBeCiZ8UI5XWaN9T0B7JuAVKTL7H8E1lX1jWi0Fz8ix9j67ozHfsTWOa3ItziI0R7q6EPcb3s7Fx3EqO+vZwP/jBsMVvXsfXT+ERoPc33GiN7tZ3GHtl1E5ALRpaBEFlp44EULQBsSxBZ9ecJ0KCbY1C8Dq0wgHEG6IOhOahtnChrOZnHcNAou0tFAZTl0xRC+yWxW5v5ojen7pEAGA5tY7xUCwDyhQog9ucJUOOENcVDPoyb8WHfzs3BYZ/XlShrOZnHcNCcmRmzY9Q1FLcQDprrkyqEY6xcvDE7BMBwaBvjpVoA2JYwHOLPE6BMP0VQvK6kNRhnAMNhbZwoazmZH+G49ls3DEdfdkuIBs34uTA56FZh4vkRAKOhbYyWagGADIVgsDchGNfNOWbBoPkEaFuAEAxt4zRZy8k7BoNG1V3pzyEa5HPMDboRWDdubq3RAiY8PQJgNLSN8VItAMi3KggQ+/MEaHCOWZjXaLMz1U4FAxgOa+NEWcvJPIaj1f0YieHYc4HC2Jb3dCGIRr33Vx93SACMhrYxWqIE5MbfwiE+7M0ToLrnS3mU1wB/oW0BMBjWxmlWnZcVeMdg0BSfHHODJgzdPQaDChBibtSVeA1PjwAhGtLG2YsWABJ/EgeI/XkClDnHTHHft2ZgvOu9mjuobZwoazmZx3CUMekdKIajrCy7Y26UdXM0EoSj5M7zZNQjATAc2sZ4qRYAtiUMh/iD4aBZOjvJTDG9sEPbW8ZgaAvzX1SctGMs8rr03jE1Mt1pjhCLTPeaHWKR6V6zgT8CYCy0jZFSLQAM/oYLEPvzBGjQ+yhQfM+YlwJgNKyNE2UtJ/MjHLTMeYZwpL6/ez4BWj8yTI3U6bO1O8QyBkNaGClVAUDlL8NAnJ0JsUg8n9FjQRMWMBRbDpGQFk6x6UTCwDkGItEyoxICcc1Mt71PgNZNAubFNejJF/wRAEOhbYyUagFgW8JYiD9PgPbkBYgx1RbreBoYwGhYGyfKWk7mMRzXytQW8+K69vt7CEeilb4J8mIBnX7s5pECEA5ro7xMi4eDLWE4xB8Mx3rWhVjQIyBmJMsYCW1hfKj/SThEId1UXrNiFHZ5uTxjFGiN1MAo0CKqjlFgIERB2ngURAsA2xJEQf15AjQ4uUwxLaEOxhmAUHgbJ8paTuYxHDQ5pd4hHLPYY6dDmT40ubVJldkwKQTAcGgb46VaAGj6hGcQ+/MEiOb5gN7ZYkIKgNGwNs5zKzl5H8FYSZpjboxGtTBCMEajIscQjFHv/SxtDgmAwdA2xkq1ALAthWCwPyEYV+Ycs2hchR6yIBoMhGhoGyfKWk7mMRyDZj+GaPS+pwQ8ARr8VKzGOs3EhJ+tAhgNbWO0VAsA2xJGg915AnLzAGRRzonz1M4EAxgMa+M0WcvBO8ail07vQjAYbY7jddGCWnhdtIAaXhcpgMHQNkZLtQAwjtdF6s8ToLHf8XiUCxUJxzPBAEbD2jhR1nIyj+FoNAsyRoO+4cTUaCvt8BVPoleLF54eAUI0pI2TFy0A1OMVj7jzBKRxhpne1sMbHgUwGNbGabKWg3eMBb1Diy94Us3r9xViUfPFT8Rqi6YW33A3rADGQtsYK9UCABnCUIg3T4DW7QEmRtX1W2Z71OP1jrdxmqzl5M3BkPeKe+oIP6at5+u8y97TlMN9yzXaOrNjQ0nuwia9YSQPykhyz0yzMPvuuB7ZU3hjvpcCtIQvqRGir1stQvRInxxqNIGycrcVnSA3XQDh0H4uRSV7uhwayvxjRnc29HwLopqQo3e3RlBdkQAHvgEUmrEJHtrr1xUhvXfQ17gK/V6g08Mtnuu9RUJ4q7ygSS+roM19hddZC8j6DkzeOytkr+IdONJjfy0p67I74HzR0oplvtdwCvWDgJ1C/WSgpxBkPYUA8SkEJXwKwZCeQnBHT2GhvXOwWyELHRQDoMYB2v6BEiZw8tZC7/TiOss+Pb+44sLWLNiKCyr2VBxawM0z6Goue8qzA7y1ya5zrBAtAdltVAvdnty4OoKBPYtcJlxbG/pBDNRigFsySL0xLervwenjO7Z1sE9c65Eove+NOvDU6o/MW3ESP68dX3Z6sMJPOcsCPy8F1bUu46xcM/IEpM/zomVvPvKLO3/sFVrrcelqtPUHBSBnDsBKn13TluZPTttH5qYtnvL99U9p05d1O0E7dtDIkVP6+ud7f49rCYX2/xjvo16NNo1ZTcdI4+tfEjjbvL/+iv5qd64Lo6PX+uuvdvc795r4eF8Pl1//zUbL+pEvnT+vjC/17rznTC1t7y5D4FVGUPDXP/28LcxB+4fQAo7eyESnU3CTWdKV29LlXgmp0mlTEttLxHfkGCs3Bs3ymLx/0kWVcBWgPT0KAmV/VH8btILMxZku2c9CAOLGi7sUqFw1Q9SlyouRxZyKH+yOis8Sk4u5z2mKWCi6kn+L6sbDojq5lSiBwPdH9t+g8kU0IA96nXjtWNGdJ82NUYjYJp4Iq1Ch+0H6DD9W27LGcQOoDjnN4qGYCbR+X4VvAh2i3/vKf9W7YrFffZttBT7cQ4UoDPTGC1rlTvPKk+l1WUxTJAVSBx+HlITpVZov0XnZfeMP+a1mWqn7ltYDR8nyY/0b+Dn8W/wV7V9m+vrvflo/3Gv9bv9LSvtyj7x+VvSrWD+w+vXX+xfWW6dfGP2WxqSf3d4dii6fdQ8869GXljHu3aH+ev/Q14U529Wh2Y8Lf5C/5h9/AV/+dh+d9Rao3/Pr37nPv7Ief+eXm39PF6Nr3Sa7kQ3RUAA93JpciejyxUT2FkI9MQ/Y5YrCUfvUi0RfV7Ff8wVpcft70/f3fBFaDSFuf01gX6MuBOHv/bDT+1u6buV6jeU1vdDLV2myGZJcQ//yG9egmYouo508VhhCIyCVmmwlLP3ug4vi+dLvflVd3p3DElDRAEtCbRGpILTsj8o7qobMhczMRtYyZ+aFIOalaDh5fPzyVlm7GFyCOyCE6Lo33varjwLPdp1uSfev2p7/+vqjVUd8FGcdL6P6Bwz0+d4LpEwHzUpeQ7qbEYBqraorArmvouSFD9+GWGzLJWXnRtNFs5cs5PZznKSMkJ/TF8R6rQjbDo2/sM/degwadHO21A16d7Qgo1hoQg3d2fzyTZPFqdBL8z2fjybLZkMeiJM8cT7e6xXRXr9setA6Z37Y7fzZ+3cw+KMuu+sebJ2F9RyX8r/ULRJfYdczQLvKvjLNolemP6Eedx4T+spVvDW/Pcp6zVtO8FWm3wkP/903Lix77i5N851SBC7tBLu0YlDqxcVE+0qlxNW+RNCSKCy2oVusbLFz2SZWIrUukhTCsKrX7IAANCf5QuCesmRedJnc9I2CIUnLvzgiropKpRE5/8AtTqLZUTTlfJ3Lvd6Rlkut2wKaSqsQcc9UBt6QvRcHLUbas8hpUbMD62fAy38NarQKgRc+KdR5QarplTdoblqAD3BQoB3Pi++DBLrX4znN21e1JovlFVFFxL0HEGFgSpXjGZnzmfMXApvXPTDNz06JJhiNvbiGF6co8jgil9YHun0Dsn7nLmdl79qR0rC9DfbuQgo8DtguYNrlBdCUSyVzlxfAu+wNWr4BmFnt8gJotVwz+wJol18cTte4sD+crfhMqXe5Buc9x82gByGaYrVXOHvHb0CaKOzQ+B2Qdyx7vsq3IXPCO75CVBGOFxWbE9+ArKNs4fgHXOvTxRcNqgW1zptc7fcVeWa9sVtPkX/J98G0naXfDP7aHnj/lA+PUdbFed9475tyffK0O9NW9h0H3pnCHTHcM/oT9L//3g0wv3Erde/5leGNIQWKtqfCMieffk210izeptQT0TKHv6WE9MFmr4R4y1Ur86VF3cRHRCoWwum/qyV9A0ha91oVvgCm8rcOZSmbdVo5fDg1HP2fHxgtqLry3uyT7rD3PKs0adNcRx5H6NPAqMzy2ovuvgWlvTPbA7pfEdP9PfuWQre6p/l+fsulV7dfrb1o+he40aKLyPo95JVzd5cf33/lP6qXZ7b1w4eXTH+1bpJ6W7dl+LpIH9oGPVXSx5a2HyrpmXm1TPg7hh9Wotfm1e5KPk/gAUCuF5NvY7gS7RKnCXtnJ6p94Ef3HqjeV0XbrigADwC6bxSryxWM5WrG5I5Kj4qj2heJ8MpfgbQi0QEAWa46ZRa45JTY71JrzbzTo+K79lXRdnYKAJDtGkpWxxciMdYsVOKKHRVHr8BdjQHZW8oBHwCQvacEbFvY256pfRGcrB0V37Wvil3PTQCA7K2RZbL3LoAoZG/d6lDJ2lFxtAbuaszJ7m3wMI0FeADIEjAmKztsMtlS9VQJWT3KvltfFa+YxmBMgHyL/6wud09jEZysH2VHrS8SCWS14PEBAFm+JzMLXOdV7GsJWPNOj4rv2ldF3ao0AkC2Z0zj0RMaS2ZMXNGj4mgO3L3MsUH3jGk8tKi1AlTEJPuZpZkalsYiOFk7yr5bX6GiBa0PAMjeHdN4cKVBIXu3mMZ+VDzvmMZmzMnSfJ+QxgIAWdtlj8naPnvTBCCrR4Ws9lUxxzQGYwokTOPJO2KrscuMiSsXXn69LxIJZG1H1wgA2T4xjeeAoWeOY+ixo+K79lVxxDQGYwqEoWfy1qhirJeYxn5UHA1Dz4R9TgW6r2Poua9j6JHivGpBavOy/fs6hh47yr5bXxWPoQeMCdlbB3Ume8PQM+9j6PGjzM76IpFAtsgrvwMAsiUMPfRV1X5GIgBZPSpkShh67mKxCcADQBh67pI9je+SYxr7UXE0DD1mDMiOY+gRAMiOhHdQ98iexiIA2RHGGuur4jH0gDEB+sQ0vjsMPSIA2R6GHu+LRIBsvq4a0liBBwAcepboQ48KRtaPbt+9r4o1pDEaUyBBGu8ps9WNXSGN4ag4iiORGwOyZYQ0VgDI1gvSOF81WRqrAGQrjjXeV8QyQhqjMQVw6KFnZjBW4tADR8XzHrirMSA74tCjAJAdBdJ4iT70qABkRw/stK+KcehBYwrg0KOV6cVYnyGN4ag4mgL3cQ49OV1x6FHgAQCHnvVA7kOPCk7WjrLv1lfFOPSgMQUq3EEt0YceFZysHxVH8SHIjQHZeoU7KAWAbMWhZ4nVf0ZJKxmbd3pUfK849KhuIOvGBCg49CxxeBqnMmIa+1F2tNyBuxoDsiMOPQoA2dHhDmqJ09M46bYv5t3Ascb7qhiHHjSmQME0TiOjsTj0wFFxtATu4xx6cr7umMZZN7IyIOHQw4s+1L4ITtaOsu/WV8TrjmkMxhTomMYZ7mBUcLJ+VDzHkciNAdmaYxpne+NlQMM0zrV7GosAZGsYa6yvijmmMRhTIAw9uV5o7Bh6/Kg4GoYeMwZkxzH0CABkx8Q0zhOGHhGA7AxDj/VV8Rh6wJgCYejJwx+eVQCydlQcDUOPGSOyew1lLsmGngBs+9W24+Ey7ijSNCNtvL2f0Du16yJBR1k+5ncgAXi+CbB+uymhLxMgVhM+3PMrRNatIy+pzMeQvbiIwMPV8rIBS2R35PWAiXrFMoB/V1QSjzzkWXRL3IK+Z0HxcdsMLPGKfUXUn7ABfHFsOUXPkAiTbRzbkiSrI0Ae9MvEJaTNXBWqaFQVEKq7rzormrMOWxF4uI4jsmstKFPRjCkgzkhvdTUQYbL7YxuSDQB5cFfotESM3h3P6o3nVPqp56LXqQZgG8LITAmEKFPRTCmgjuAZCRS40ibN/0KaEdgv+SeGar8bdv0mqn0D2D/tLd6rdiMbgW0uRKfv7wigrsTfiwHiTg7nJJL50fruNJUfloa8Ig8iez2J1ctcwE1zVRLtMndPB/YVNr3LyhVpM7lkrmtxQD+hn9AToEpL3lBxoU8kaHwDu+KnOahtlIEoiRz5Eq/YuidPNUSCEYzEKEck1kgyOjrDQIiEtjFKqsWBxOUFXqAQCV4+BYp5gRUYZyBEwtoIA1USOYZIjDVmpIKREORBZC9bdkNUDWI0cEYAjIS1UUqmxYFtCCMBth0qVJESFWeaC4rGM0/DRwe1jTIQJZFjjETZi+I/XxCMRN3T68HQet5omKAChEhoG6OkWgwosh7/BQqRKHsZPyhej9EFbW85xEFbKCHREAnGMKwMPsLACIZh7Do5YGf9UTA7BQhh0DbGR7U4UF/C4LYdyrTmARXTSp1gPPEqXXRQ2ygDURI5hkjQvrn9xkgIApGYVCgFAjHXPVXB5BQAA2FtlJEqMZnNYBzAskO7ShXoXc8wF16pBcA4eBtlJEoiwxiHqp/XDwTjUOW53wxVeeNizlR/J6MOaxujpFocyFxJ5AUKkaBXWR0jQS+zejB+8dwrdFDbKANREjnGSIxdGe3zBcFIrKeZPjASc09MBWcYCJHQNkZJtTggFd9eoBAJWrQXIjF4mwM3PqSCCThobZRBj5FQ0xAJWv1TG0ZCkAeREkpv63J6d0YAjIS1UUqmxYFtCCMBth269jIlV3zxNghunAGMhLdRBqIkcoyRoNmqYQAVBCNRaaYERqLeVPoYnGEgRELbGCXV4kDn5fcvUIhEbbSTCirOtFoQjWde+48OahtlIEoixxiJKUtHTwQjMbPUdFdDcy/7AGemrAMBh7WNUVItDsiyxBcoRGLsNZGgeIwjEgyESFgbYaBKIkeMRKbCfxeOoYo8iKxfVfZILIB3xFFnFIBIeBuh5Foc2IYgEmjbobzX7IHiRIXn0PgGIBLQRhmIksgxRmLl7LhDJBjBSOwiIGCHZoQl9IWBEAhtY4xEiclsJsTBLTu0K4yA3pXXZaJtBkIcrI0yEiWRYYzDsjhmiAMjGIdZ3/c+d2aIyk6iL1sOYZAWxkdVOLCthDC4YYd2rRvUu6vhoOmLC5agd9pG3RclkWAIA5X1HngrociDyC4154Zol96QmwJgIKyNUjItDkx7bI3QE6C98xEoXkmdGhpnACPhbZSBKIkcYyTarmT4+YJgJFo9IkH1KQc6w0CIhLYxSqrFASmi+AKFSLQkj2uquO7qjGC8SgVHcNDaKANREjnGSKwcbjVEghGMxJzywKmG5r03NHNnGAiR0DZGSbU4MOxhLUIhEpO3qgPFZW8hBsaLrDMAB7WNMhAlkWOIRN4LDTESgjyI6NsOMURLwW5MUAEwEtZGKZkWB5I9r0UII5HT3ukEFNP0bLS9ZYyDtRD3VUMkGMPQGtefPREMQ9NXHWqnrXOL2SlACIO2MT6qxYHGBWBfoBCGts4tRqHtVfJoW5fNg3/aRgmwjsgwxuGmXdA+TwCjsEueYxRufc+hnjAQoqBtjI5qcYDshCCYZUOmfvBRtVO+RJjpaV8jzD1rI/6rkkDQvjwNLnDYYI4HQtsd3hVCax6mvcVpCQDvLKGd9seRa+9xotD+PEIb+GRaELKfurzFRY9CsdOGnm9DZi1RxQwyP/ayCwDUYwY+Aq9Ej5weZPPnYM4v9rnMwgJrocVCn68QvXNPvMeJQgu49/YSmQon3BG4ZIR0iPaioKVQafJZLmUvAFwAb4G3gCZXmxN60B+GFrC31gM1Kk95PWwIO7PkslPDvY0U5YPOJY1oO1n+ohOQ/Z0laccN7VJA7K+qdsACYZAGwrQoAzXE8seXEyHTtD1zwk5UZSKjWgPctEPinmkxAoEjR2KlzkwxFAdEDlGBc9S0byPBlMnmjSLqsGpQRmbE43BA2+6uCY/ddtky1KsAmDZIvVMt5n5kyB+EVspiq89XiL7SrEzvGIq+fnISZbYGgHrkkHjtWoSXW7JwnNA23ncJFehW945IoFgBN+6QOGhalMJB8w+oT9OoHiRfpXY59k9YIyOuPNiq13dd2/T7NXtdCZopdNGjQJll7idpQVhNoe0XaeldlpmqhbahoZWQt+w/rS0u3az76HIuj6p7QeobvbmYc1fepf2mUKO0SLbT7IvNQ8d3LAistI0SXcxpndPF1aBz218fgLG1SnRM2NDz1fhmK9X1sviyXmUvV5QZDPXau+Ch/3u9cdYNwWnvh0qALKvUCFy2QXei044t6Ba/oo5Eb8jcghxPOoVONTggNjYuXjDgLYDFd8U47QGY1jvOdz63tKtGPmKsrWgxLVfCpomIu6gW7Tmxh3A/E7QF6s2tqI7vHVqlzD861DVTyGxsJX6hLoDUYsri1Nj3FdjkIPh9i89eEm1BtPHfmOevrdZU+JzIr61SJbGO51Va2K/t6PL6a9urwPdmv3PXXWSAJg1wiZxKtzn5FdAuz6njj6+9RHUXqBTPXu5Web2bFAcpfeZbix3Vuleq7aIBS1ka1y52AYtGpSzLSLzItKdducQrsGiRkr/d7fq66n2jIAnb/FZBkko3U7SR1C3Ra3m/31LgWcC8TCS2dLSVIE4WqabZBrjQw957XgGe67WVpcLTr8WUih/qjAL7RCGguSLKTNQJfQKoO48B4q6oUzIH9x+oH1DpRp5+JrOsG4Kr7rjl7YVBD4eS6l4o1GhOGPWipe2luTwp93epEkES3emLEkVod58305nK+n0U0il2Ffhw7xSSQHDhDoZqpU1um+kFmS2TGoHUvQcgYWB6leJLZH6sfkCldUpUIXD2a7m5LyT0bSTdDj0O0cR9cuPxjt+AvOM5iM09LsOlY+5ZTnBhEODSImHa5QQg5+YcMQkZgC7kfv0GkM4uL0A5/XgB8BL2S7HeJUp/vqmI7a6BUWktE9W2UuhBKO0dxR7odyKQKJOmqrVvQtiP3l2V3wG5C9bxFdrbvg306hWxbn948QCqbrlvFZpX0/uvd8mAu8Hl+NdeKeq/+WnS7oF1QgUruhpTKZmrfKP81U1lYXbxgPQ+1i33WyzP9aulb9R7dq2hZUp2wSxWUsJa5z5oB0MbWj8NkBueTstN6S60iLj3cVeRtpmru7kep5cD0FtE0b6aK8A3bNL73ivGqmpXcTVn63ZcnZXe0fcfuDZ3Ksq8KxLZvQhAfFfTO7+Po3oj5FWnBzuQiTtt9QEtKn0khTssANgMBUAhuVczJXpRMjsKUBjEFWtjzqqWk9BHrD/Zd0W6cJoZSLyNT+/89EFTzbeYUNy7CdLVx463lLC3iH6aFeDVadL7psv+uu7oaRaR+A0EzFnpHX3/jjJiK22ufYGA0+sQLUVfPtRdIH2du7Srl8PpZYBY5P2d2dvQq8HkOkz0syvIVfc7btNAWxp0ygg7uQIQefHE2pirquWkI1XEUh3hEbLTkzs+YEkLf4RstAfjy/HwAPl9Y3BP68G/hgfJXq4izxd6M2+t/EGy3Ssi8cHkRdfLGNyvPf3WHyXXHW7gKcftMbAnLpVjD4oaCXuU7Psnii0otWvQ0YMNOW4PgqoBALZhj5LLixEeJQ8e3zH+dtrtkCsc6cNkJ5fuGGdrZQ+AnT6A7kdOe0z0s2EPk8vltkv2Yqvl3B0eJnuiLXuOc6at7BnQdQGkFvlhstMX4R4eJl8Ift/D5EuyLajyQl/08nuhKRW68Cl0/Sz7Pln6FHoMZo+1sKfQo4s8hX7nKxn9jSB005Z84an8XhcL2m+ATuGO7N13qfO6K9QVB9a9+bqh2RcjQeThWt4z3UMKJaw7g33VuJuUT7IWeRzAaFpoBx+uC73z2wvBpaycAiPpe5ur85r/E5Auz6njj3+4phrbNB9gnZr1g+GbMahPalVJ/95qoGKhUnpKXhcquHfS2zKq8PetZ+Q29+25D7AKyG+9jcYDKN8ntT463EU1qn7oQGs19BXRBkAD+OIlvfUuaev2eyixbEfVUekb/f6Be6g2BpVBxJ8gQPxjbns3DLtBar02EIkIVZ/3420XxYL+DujI55BcslSH3hupEb99Ui+shbmpKk4qPMC2MXO4N1aAZjXQuwkqhUL3vrzMVM7pJZV4Wk8uttah3xbgbHKdwi3uXvfNpZr5TN5aTVrs2VF1T3pGb7/jNmllRnrvJZ5Bg/q+K2k0WX3yfVKi6YZ+Dlkm/2knggJNqEo9X9NFiQN+GhW66v76b1rum/YrSX4eRSb+4os1MW9VycnoI95I6O+MbqzkjNIXYBFpb+l6832tXMC1wwtgXbDiKl8N/vE//FLcNetT2x8iF9LrLmdHFRWv76x+alqu5fOezbWAwWWxBSJC9GC771Hb5AUuYP1ErNt3WDdbNKNn1N9N4g+pSs+LZFY+X3Rf6k/SM5f5ux+lx70eJI5HaSrFOte17hvV9ELhaHzXKpXhf6bbn/tKZxHs3/OONujdpaSlsvZMCFJB1zny6v47vDJaf7WrlmV3ao8667qwa0XmJgskDbilZpgDN48QYz/FF65HwleqosVJlrjvAPzojH0n6N7NJ1h/HKhyCWN1tIrYL4u162WRXfGjOfZFZntnD4FKkfswA/Re3gEdW5nslNFxuABk7eiMfSfodrJi/QHgEv9ZXb7BWL7NGLtiR3Psi8yQLO1aMZFs7bJy0IEqAeMtA7g6FNuvWipKvfOjM/adoNvJivUHAI0Oq0sJjKVkxtgVO5pjX2QWyHLtJyfbao1p3CxZtoVmyeKCk/WjM/adoBvIsnUge2uwmKxUUGeyWmDdyNrRHPsiMyTbxoxpLKX5HgAmpnHHzOqQWYOrAIYfqfedoNvJivUHgI5p3LiQgkRWqypY3O1ojn2RGZKVSnxOdlzTMosBfiRQC8OSxQUn60dn7DtBt5MV605W6gRa7NrwNBbByfrRHPsiMyRLC+lCGtMW3SGNhyULk72rp7EIQPYOP1LvO0G3kxXrDwAJ05hW21kai+Bk/WiOfZEZkp25xjSeI8c0nlyzWy1MzKwJmTW4QFnDNPa+E3Q7WbH+AJAxjWdOYCynmMZ+NMe+yAzJ3lePaXy3GtP45md3tXBbsrjgZP3ojH0n6HayYv0BoGIaS4EzMXaVmMZ+NMe+yCyQnTOksdZHegCYkMZarGnbV8HIwtEZ+07QDWTnjGm8ntYxje8Jz1oiAFk7mmNfZAZktRySk01aCtiAfEEa76n9al8FJ+tHZ+w7QbeRVeuPA31CGueLq09KZLU2pcXdjubYF5khWXqIwTTO+bpCGi8gQxrnbMnigpP1ozP2naDbyYr1B4AL0jgnfkktka13SGM4mmNfZIZkMxenA7IzxzTOlixMdnZP4zx7TGM/OmPfCbqdbC41pPECCqRxznYH2E1wsjncH0JfZIZkSxoxjYsWInWgYxqX7qOBCk7Wj87Yd4JuJyvWHwAqprEUpRFjqcQ09qM59kVmgaxWPVWg1h7TuNod4LZQLVlccLJ+dMa+E3QD2XvGNC53xzQut9+IqwBkw/0h9EVmSLbO+IiXW54xjZsly7bQij/iqeBk/eiMfSfodrJi3cnSfHpI4zr8RlwFJ+tHc+yLzJBs6yWmcU8ppnG3O8BtoWNmdcis7Z0fnbHvBN1OVqw/AOAjXm7Nb8RVcLJ+NMe+yAzJ9hof8XK/c0zjbsnCZC1ZXACyd/iRet8Jup2sWH8A0GCxuuqPeCo42R7uD6EvMkOy9Am3YxqPER/x8hj4iLdEyKwx4iMeHJ2x7wTdTlasPwDgI94SKxjLNaaxH82xLzJDslNLzxnQRkzjaXeA28LsMBrMfsWrsR+dse8E3U52XndM43nhI16el9+Iq+Bk/WiOfZFZIHvHR7x8l/iIl29Llm3hrv6Ip4KT9aMz9p2gG8je8REvz3ljGs/pN+IqAFk7mmNfZIZkby7VaWTLleMj3gLwEa9ckFkqGFk4OmPfCbqdrFh/AMBHvEw1aS2NRXCyfjTHvsgMyBb6MotpXNJVQhovQJNlk02Xv/BTwcn60Rn7TtBtZNX6AwA+4hVaYq1prIKRhaM59kVmSDaV+FqmpBkf8UqyhwkmC5mlApCd+COFvhN0O1mx/gDQII2XWMFYqSGN4WiOfZEZks3pjmmcu18gBcBHvJIhs1Rwsn50xr4TdDtZsf4AgI94S+xgLPWQxnA0x77IDMmWKz7ilVLjI14plizbQmn+iKeCk/WjM/adoNvJivUHAA0Wk739EU8FIHvjIx70RWYvBdj4Q8svf4aiUXzuGU9rDClviNCM7La/DQFE+9ct42uwvxi4ac2bfRAUmbxfN828Qbc1oVmQQYkB29DuJBB78wREnglUL61X7WBa5K1FvPMmRlKVBNacKkay3O+lxVDoduYA8cbPEAreiNxDoRuTQyisiTI3JQpMKfcBELvzBGjSGk5QXDpNDnPbLGMsvInRVCWRdwxGpQWfIRa09XpvIRaV3s11iEWl0rzD/REZY+FNhJQrUYANYSzYmycgl2SX6qX13JAWImMovImRVCWBdYxEuyovPANoTxx+AtJo/q/bonKYDbJCZIyENxFOrsQAsoOBEGeeABVaZAd6ZeNTM61bo4J31sRIqpLI+gjF7FyHzCGpcfgEaH/BdWtSg9EcEhlj4U2ElSsxQIoJAHN2JwSDpkZhWtDm0JiRIodgWBOjqUoi7xgMqWmIwdgf3EMs9uyTBLEYeR8xf0TGWHgTIeVKDJjvOYRCnHkCNCS9NMa9S3rJaWAZQ+FNjKQqiaxjKGjmxT1DKOa118o+AdoTad3apCkdkBciYyy8ibByJQZsQxgMcecJ0CVjjwa5TskvOQ9V1n3DqbImRlOVRN4xGLSbzBVH1EnzMeMFY9JCeowFTctMEAuWQyysiVJXHSZnvQExiJ15ApQlvVQv1XJF0yxjKLyJkVQlkXUMxU03aDEv7t64qglCnWoKuLV75ViCcyMyxsKbCCtXYkDjsiYAsTtPgKrklyrmIm9um2UMhjcxmqok8j6Ccd9cU8Ugrdf0INQuj4TUklJnRIQ4eAPmo91VYv0hBuxFiMG9N9GEGNDKTAjBFkMEtIFRUw2RawiAlmXCACR6B1lCABK9pawQg/2E42dEZYyCNxHirsSAi0vsQXDYnSdAl2SVhpcWaDY4ASxDLKCJ0VQlkXcMBq0i6DEb9jYDMRtykpcEao2egMAfFjEU1kAouQYDthWMhPjyBCi/wzViyQnOQLw66EFjJl0j00ifZgD1HunflWcqI7QL9QJ9WrNcgT/LIQDWRAmbEgMqT5IGiN15AtQkp1RxLZJTYptlDIQ3MZqqJPKOwaAZQrvQLUBjlzl5AnRTsTe3VmiZt/vDIobCGggl12DA5KJdAGWp9ovQ4JRStVzQxg2zjIHwJkZRdETKMQ40eeiOSVH7xbUTEUpyqyrGaO3dhBMjMkbCmwgnV2LAZU9tCrE7GIpK67XgASzT8oGCtlnGWHgTJWBKIu8jGPHecu9jm8NTeabpTB0zotW9vsa8ERkj4U2EkisxIHOlIaAdby0zb9sAUbh3LRqPAsshCtbE+IkO4Bsj0OgtSXgezz03uh19AtSpRoFbogr18EysMgbBmwghV2JAs8c1jQu78wSoSlppdOnVDdgWGQPhTYymKom8YzB6u+NrmkxVzONrmkyVzm+4q8yD6jlDQoiMsfAmQsqVGDCO1zTizRMQ+SpjMW4NX9OojKHwJkZSlQTWMRI0IanFtBi7jkeIxMoufEuzgF2FwyPBcoiENVHipkSBbQcDIc48AbrCS5pM86swIUXGSHgTI3mFlzRqKIaCpiu18DyeabrUjLGgCVX4libPIZ8LxSGRMRbeRFi5EgOyPawpxO48AcrhNc0CLskusc0yBsObGM0cXtOooRgMms4U39Nkmk4VHrsWMqjCnBuj+VjwnkZljIU3EVKuxIAa39OoM0+AWnhPk2k6FqakyBgKb2IkW3hPo4aOUKw8nSEvCk22usNzV6EltvieptB0rebnRmWIBTRhVqDEgM4vCIA5uxOCQVW8MC/u2fE9jcohGNbEaI7wnkYNhWAUmgwVx9JCc7PCKFJo8laHvCi02zq8p1EZY+FNhLorMeCK72nUmQehfof3NIUmc5UEp4FlCAU0UZKmJLKOoaA1JynmBc3ciu9pCs3t6vA8XmhLMnhPozLGwpsIK1diQD7e06g7T4ByeE9TqG4r5qTIGAxvYjRzeE+jhmIwMi2YLjEYc69iDcFYSTcwFivn4D2NyiEW1kSpqw6TtxkMhTjzBKiG9zSFpoJ1NM0yhsKbGElVElnHUFAFyPieppQ+jvc0C7rlSVesFdrFBfJCZIyFNxFWrsSAcbynUXeeAO1luqCYSvM0sM0yBsObGE1VEnn/eFk6NQtfz1agezek9f3A8/Ne20KFkEzW1Y8GrCehRg1MQaY9ONzCFqlD2y/AvQGVHEmowQCzYYh6YTrEy0Dj43vWfnXaC3dS8GjfOvn98DmoJev7+OUirdPURs9rP13r7ato9+5/b+uc6Nd4AWjaMC+hz3srulcg6arsQ8cfv5S40Z0GzThYI80yKavR6I3PuurIAuLS5x9b2AXXos2VhWvcD31+ZSuV/9u9pOy+ytc//2k9uaXrrntJ2X2l9PXfeQmwv9gO9XUpXH/a4rFfOLdaSsqXhNZ11gZAvK6v1b3tmS+PP1YpP9bClscfXb5refy3VhnTS/Dy4s9N59C9iZUu+Kh7go3P9eyyZ18tWvFJAaopsffAoEnrb5UmOM+xl2+Z8PFlKaWiD3aU9oCFviIWLYYmQB+XlOBQgD4G0z4orI62kKI1v9uYClStd7tiR9lR6yviMN8is7h49ZeKcHLp20oZxbvOKEJpu+so57mvXlRh4aKNnWi3ObrGKrCDc+1Vv9aGNrGtqMUAMUQhEoi2M2v7suHQTe9w0pspHhd9IMluXAEKljhobYSBKVFZ7Hy8sKZUeXHnEyCaWFSau0PDzE27hag7CoA71kbNq5JXd8wOVWTlXZAMonLNrYLpxXLQynIzLQCa1jZqSpWoLHbQNBU74812Tm/cNN0V9w6mBUDT2uYw5VFgO1LIiOaJ0JTipLv6Jt5utep6DQWabkZLW6HQmt1vIOuXzz98VfsCmNrfOpRl2vmLpVdfTi2Hjuf7qyzsZbe7/DaNrHLKZ5Z3cAw9ANGEgkH3bPe6jtO4/w0k7d0dH9D9ipjq76nGAt1WTFIOTpr9b/n9au9F1xOX8P8hI/hYF7myEpNK7t9dhvD/jkfRNKet6J690ILt9WNf9xeDx+G2emqBzZrzGtr7unOcM8e123S8zGFLynPVpeE0WTpY+BWUD6GSR2E/1Ag8X3g5mO+9eTfYl1ME3bVTxCYNw46fqte2CI3ANpRgz9AlXqjsioYudCLBbqAHgV38ei/DCiQDQLbnhE7pvsNuqCaafQXEO+mtns9jN9QIbHMxNjPshmqimVNA3JnxjAQyRHg95iLdID4kFuiwxAbaXRTrDjRpXoCM6FaqQSRTNB0SGicJlKhS0UwpIK5Ib3P0pNkaHP88AbLfJvRv93sG7SqadQXEuzbBc9HsRAOwTVVIAtqSCVUdhoIbFVLvoMA07yv8Rg+AbMuO1qpDdrRWCyqafQXEO+mtnt9X+KUeAJmbGJnZgzIVzZgC4szEMxKI/OhGvjQ3f/JWDVrT/oTot0ZFQbpDe/O2ygCXjAdAy8o7JKXnXYsUp3dLVtP+hLbxi5hBt/VYXG9UbIAbd0gdVC1GIdLkqxy9Lr9jOA6IPOIt3kEXVZrAHTAAMI8MUq9Ni/IySx6OA9rG63sKvbJsNWJ6FXDbDol/qkQJHCT5N7M3EYVYnMi+OO2pSgYtoGpstikExB2A2GXQwqTckEbiRMj0tbeehU4XF9h0tQa4aYfEPdNiBAJHjkSt2stCcUDkUO0aZVFV53tCWyabO4qox6ZCOZkZj8QBbcu7ai12u3ZlP1CsANg2SN1TLeZ/5MixWM/yqcRYHNC+vF2ya47qWvftMfAOmEcGqdemRXmZJQ/HAZHxse9WsVvb1axdsQFu3CFx0LQohYPmj79upPFwF471XTD2rKIBWfFgK9gFw15t5HpPeEfzaYBUmlu34VuUOnSkBKrU5Sw7UsjRnENfEa3+mAFcaU56ax26rdur1IllO6qOSt/o9w9UqctUtDGWggWIq8ytx7K2K0XLW9NMizp2bXR9i5ozfY93ZE+xwmLBAGjhMYekypwp0Tp0ZsdL1Zkr1sacVS0noY8fKJ3+rWj0NfqPlx1P7HlrPb7ge7XcJ75X46P2Xi00/q73e4le7+/im7SsfMpQUbiQqEDskdydaqUmatd3RdbSpt3ucotSD0CX/m+HRm28YUCTQhcK0DPoMjdokbaX9hm0EVaG0j9jl67y42mG3iIWrfqhAJUMWFHR3pnX/qn2rGsD1boeF9+0d/T9B34Ig15B7orhFmiHKl0/li9NCvnJ2oCRZwoAkb8Gp4u2ScRnuBKTxQ5FQCHa3O2ab66EKh2MDoYEoDioM9rGvFUtJ6Oj5vWoeRfzg/PMAK0BWcCguXG7OFZnMaNIVHs4nlPB3iL6eRZAyqZp78wLxOw860pFta7HxTftHX3/jmKOS99NAxaeX4MqzcVLb1QyXk44L5H2uFddMz1or4irQxuqobq/IKkWA+AMG8QLvFwLvXNpeIK3TPzVF2nh/ouKk9DHv8CLICl2uu6cshSF/RP6FDMXV9gn5c/8q8ufQwlBqxD7F/t1z1ispRbsuvdonRJ8OVp0VxYp/TdmzaRGNXrFWX3V1Bp+O/Lyhv5p6U/34VLn+Pp3ULv/+0p106YPLf7waS1unucVdtAL3Q5X2ONa9ngLvcIeXeQK26ma0+XXzM8X5EGkcZX3afXSqBx8um+on9bl1a21oFqnV/LeLstV+kQeRPZPznVOqTOvVqcs4mSf9Kj5y70PRnRHZ1jTcgcn8iCy3wVvG62k4IHIwFtbKAft7bIsHT2RBxGJlerkIcat6hjEPulR87eFODQvfOBYl7W2J4K89y2e8O6ykYN60KuePfVRWhgH6e2yRSoiyLvvZbOusw32QK02jd32SY+av1eMg1pE3reU7j4R5H0Py/PGV3n34L717KmP0sI4SG+XdWeGA0Hedwl53u4cfl0iK289av6WGAe1CLyl+uDnCwK8O5ec2TY6VzIyD0QG3tpCOWhvk/N95LlbdGTyNUJ1chVEt6pVEdknPWoMZoiDWUTeXYpLnQjy7s3yvPPeVO6B7mblPkoL4yC9Xa56JYwI8u455LnUKASrUtBCfJKj5m+OcVCLyBt2iQkI8B7XxfGjCvBXCnkuMvDWFspBexsn21LkQJD3LbFT3ncNeS6y8tajxqDHONzzJc9HOccxQZB3qZbno8RxbJRzHNMWxlt6u3yOY27RkSvk+chxHBNZeNtR8/cKcTCLyLv3I88FQd7dx7ExrvBLG1oqwn2UFsahx3Fs9H7kuVt0JI5jo+eQ5yIrbz1q/sZxzCwC73md49i8znGMVqFqns8rjmPzOscxbaEctLfL5zjmFo33PUOejzuOY+PGccyOKk/pfTCKvEs98lwQ5F18HJtlhjwXGXlLC2NV4jgm+pG3WXQkhzyfx93StLsl9imF86u9D0aRdz/HMduIwpFxWZ5LQVL3QAuUuo8jjlva2+R+jmNu0ZER8nz2OI6JrLx7HMe098Eo8JbioJ8vyIOIj2NSLtQ8sPKh5qO2UA7a2+Vy5LlbdCSOY/O4W5p2t7R561HzN45jZhF5l3Mcu8s5jt26+9TkDz7ogcjIu8ZxTHu7fI5jbtGRFu7X7hLHsbvgOGZHzd8W41BexzEq+hTzXBDkPXwckx1f3IPRjvs1bWEcRhzHRD/yNouOxHGM3n1inousvPWo+RvHMbPovPN1HeOYIg8iQ/N8f9mBPFfZeVsL4WC9XT7GMbDoSMU8X3I+rMI45kfN3/B85haRNxff/XxBkHe1cWx/xoE8Vxl51xJ51jCOef3fE0HeZWCeaxFgt2p3S9snPar+ljCuuUXkrXXaTgR5j655vv4emOcqI+8Rxi3r7XKJeQ4WHQnjmJboBaswjvlR8zfHOHjFNsPozVbMc0GAd0o2jum8N/NAZOCtLZSD9jb5mkeeu0VHwjiWU7xbUll421FjEMYxt4i86zGOKYK8a7U8T7VHD+oxjlkL4yC9XT7GMbDoyIX3azmVMI6prLxLGMes98Eo8h493q8pgryHjWM5zSv80pLWYHUf5xV5jjCOqX7kbRYdCePYksNTv8rKW4+avy3GQS0Cb9poKP6+BXkQyZbnUgHBPBAZeGsL5aC9XT7GMbBoyHWHPM/XjFYvGMf8qPp7heczt4i8azvyXBDkXX0c22s+0IN6jmPawjjUOI6JfuRtFh3JIc9zvFtSWXnrUfM3jmtmEXmPeeS5IMh7JstzqcftHmh9bvdxxnFLe5s85pHnbtGROI7lEcexPHAcs6PGII5jZnHxnvTleFpt7M8X5EFEniwne1W4QGK/Lzu2PLhz6A8y874T+1ySjt8HsixujXqfM9hrk9Ubv1NqoT/IEvnIiHjTnlKstVz6BSIi9MVBefKsNaqUxXr5/QbI8msDpHGPy6bPuTadbnciZFE9zftKNVKF/vvvbh86ze5Iypc9P5lsvk3Pgs4tPJFlneoYXj7zcsAE4BHm/w6Y/uu9xE/TazwPhCxBXKpFgfW5rNYcEV8u8DGy2FwnThVFaVmeM7Tfa+wvn6QJslp3hP0zDeL/xNmiKJG1IzbTIiG6TDZrhog/xzmZccoorV7HHP18QZ6FeP+ZS8hhkMUDQBr3cP9dt/I9kWUtxfjMlY1Bn8tq0RH2KcVzdDLavFs98vlElie0ByL0m83jKn+rB83PifcS/02vcT4QsmQxkz4Z9OVgKYMP2kv9qy+5TIWisc3nC7Ks31eM153D7wVk9cIR9tE0iP9mwzgfyLI6jzjNFn4nIKtVR9iveZyfgxnxv3M+8vtEni+0zzP2u3MPvyGQxRNAGvdogZ3bUP4nQlZT+G3f6Q55DrJadUT8SuG3fTLb/NsIbT5fkOVJi+MUbcIb7PRznAKEfW1xJHIbxv9AyOoRs1ZBH072F4l9ace5Otj84MzwPnYtI5si9Io8iOyqo7TIrdT2ZlVH6b6olfkGZUipZPKdB7a5aYUQKDFZpiudyONIve/3md5cab3HO9plmXSoa9pCXDcNkRzfuSpWOm2T+fmCYAjonXjGENCjYMEQMBBCoG2UoCoxeZvBELhhQ3jtqeukcS7YzTxbFX2TNuY864jsYgz6Teu+Pl8QjMGginFgZj0V1oSuMBBCoG2UjuhQkY1gBNysIZNqCYDO3qkcGthlIIRA2xgbURLZhRj0lbFjYgwEeRBp64cEQej0qgN8YRlDoC2EjmkweduAEIBVQ9YJHW+oc9drQLNS0wE9kzbmuiiJ5GIIuL7v5wuCIah7BSkYokWAmJIChCBoG2WkSlTWWsMnglHgWsOglGsNg2EtPgzOaRvjI0oivxiFlbRHFBjBKCwLo2MUlhc3ZqUAIQraRhmpEpPLGQU3bEiiklOglEv9gmGt/QvOaRvzXpREfiEKVE+sVIyCIA8iN5VzdUM0e+/GxBQAo2BthJEpMXlwcb4TeRDpNFkflK7hZWQ0zABGwdqY96Ik8otRWIlbSogCIxiFWqg2ChiqLSamACEK2kYZqRKTtxmMghtWpOzyjKC07OUuYJiBEAVto96rksgvRmF0qhz7+YJgFMakYiJgaLk5cIgUIERB2ygjVWLyNoNRcMOG1CMK9Br+DoYzV/JB56SNeV9jFNQwRGHutUOfJ/AgkGmOrZuZqca0FABjYG2EjykxmUvLHABEYK4hpuMQOa+hL7LELAMYAWujvquSQC4GoNrcg4hgCCrVqAEzlaYOgyeVJxeDs9JCyYgCE+3LQ0SQf90r01HlXrWBVhNXy0THpI05LkoitRiAZXGOEABGMABzT30HQ1zvG5zRAuDgsLZRRqpEZTaDUXDDhgxakQlKVw7HKDAQoqBtjI8oifxCFKSy9ucL8iDSac2IG5Ji2+6MVd92h62NMDIlJkuV7xN5EFmnsb2h0ouq/aLhiysCo3PSxrwXJZFfjEKl0gMhCoxgFOpNBZ3AUMvxlAgQoqBtlJEqMXlyDa0TwSjUTvXDQOkabi68GAsQoqBtzHtREvnFKNBL+jA+CoJRmLt0KhiinTrxoiBAiIK2UUaqxORtBqPghg1J/MBlSukFPo6PAoQoaBvzXpREfhiFfK3ErfgUrciDyKQC22Zor92fcEoUgCh4G2bkSkzeZjwKaNiQRs97qLS8z2C3vIexwVqY66Ihkosh2DUmPk8AA0AvvEMA2i49A44wEAKgbZSMKjGZa+0fANJfWTtupM/l9sGs1t8H17SN+q5KArkYAFq3N0MEGMEQTH47YWbmpEKA4AoDIQLaRvmIDhMrb25xIhiCWehRD3XuWvdoV4rfo2/SxnwXJZFdiAFtn3zj+KgIxICWHhZ4hJbKNu4LyxgCbSF0TIPKbANCAFYNmbRiCXTSJ6NglgEMgbUxMqIkkoshoNp9MQSMYAiavJ0wQ01eT5gzDIQgaBtlpEpMrmcU3LAhuzwxKk30yIOGkz58uXPSxrwXJZFfjMJK2tFCFBjBKNzygsIM3fKGwpxhIERB2ygjVaIym8EouGFDBj9qmVL68IlXYgFCFLSN8RElkV+IQl55O/ARWpEHEXlBoYZy7rSmzp0RAKNgbYSRKTF5m4EogGFDEtUDQKUXHUHDG8AoWBvzXpREfjEKbRdl+HxBMArtpkXPYKjLGwpzhoEQBW2jjFSJyYOLRJ8IRoHeq+PgSJvS4S+R5RADaWGui4ZILoZgZWlJIQSMYAhueTthdngDDHBFd8QAb7WN0lElJicuSnwiGIJ7nVOMwLRZ6GJ36oQB903bmPOsI7LjiRJUbXSXA+HdJj5foSdAVHCVpiJQHZyf99cQel0xeTmkHKfJC1SkrrsSBAptnkATIOrYFR2o4vO+jpwQT9IQxde+7V7D3LwbAu5aeq+sJr23q7kaBJpOUgoUee7EOjlSNqNQqfTPV4jmMtAp3Ty4EAVNSygJKo0gIPUtAOIaGDQjYg1Pb1YlA9RqcY0XiIyva3vhOjb7/RS9rEstoR4Hbr5nAIj9oc0KSq3O6oXmDgdt3FVD3ZUXaHm0nn5agRo0ezevDKU8ENBwOCThcC1Cwy1ZOE6IjFMQBnajN7YVFRtgxgFiB12LUDhp8uyLtLqF0isvEM2MqOuaB9WJBlVarRgOANQjh8Rr1yK83JKF44SW8XXJKAPDQTvTTEw7B8w4QOyga1EKB839AZ/uvUbHcLxAz54C0TpkB82BGB0q0SAgHgHEXoMW5gWWNBwvEBlfAwGWs6I3dwML8wDgxh0SB02LUjho7nBU+mAVsuMFovkUtAUDJBZNlSgDsgMB9cgh8dq1CC+3ZOE4oWWcXg9gp3WtxZJYAJhpgNg91SHunxR5akddnWJmnNCzJ020GzOD6r1PqF2FgPrjkPjsWoSVW7JQnBAZz7LDkva61lNs0GuA23ZI/FMlSuAguec5UG3qHILxAtGcizWUJdBFUyjqBVmIgDgEEDsNWpgWWNJgvEDLOBVDwjpPtBFfrqjYATMOEDvoWoTCSZOnfdDLmVDi7QWiKRi0uQ+Go9EncYg9AuqRQ+K1axFebsnCcUJk/HrnWwXptYu+w+8EALMNkPinSpTAQfLHq1eBCq1eZeVorXgVNMLiVanuApuyEuHzBB4A9oz5JVJJ32tPp5dy2irugtu7QKkfv7DnBYsggviYyEVDVU1qwQyLu2/Ho+Kg9kUCu3qgQLST4J74egAPAHt6L+unwkvs97YuopP04yn2TaB7N0+nsYtLqHFvVjaz9GZj08PU8Si7aX1HMLWp7iqjl37vOYAHgIzhuuqeqpxoKcY0EcjacSZjvUX02CDwAKDREXUjmhtmruNRcVX7IpVAN12WvggAXZ46bXR5PZfZ1+VdFn87zu7yRGwTdR73ATwAaHxYHU/DNnM6K9vcseMz9p7BnBHmupDTCSvwAFAhZXalSf35qmB04WiOfTPoNrrBmAADfqj8It6NTTMmrujRGfvOYGyT3SXxZPnn5wk8DvCCUNPBqzPFvi7VNO/sKPtufVnU9RQHAGRrhuvC/vaSzZiurzBX7Kh4rpFFIoHsNS2VEQCyVwsBu/C6p+L2gJINjpfYW8R+pMLV7ZcrwA0/1f3BjdV1E4CuHb1jX6TCdBuVmU5zFK05H4AHgAvTRVZaK11beK3++fHtvfcWsdj5QeABoMFPdX9l9euGik7Yjquz0juQCYTLrckcACBcBgZtlo4/ZBHlUglH2XvrK6JHBwGgW31Y3x/S0VT1QYhd4VVy5qj2DUQC2cuGoQBssrtMgl73WP+V8GdsRRTEuwuHKOhbQTMkgptSYPgPdfJCRzflo7W4IsfV7xGYXzAEtV15I1kau6g0pQ6H9h49XPFE9AukH6/cXK+XLA6PCgIPANl/omOUYGzY0CPO6HH2W3oCCSBZbNAB0UgWubSJ3pLxZ2sFUIxkgQHJ+rLgw00PZljEgTwNXqBsZqqNzOKGHmcX9TxkMLPp7eqC48qWrgg8AFyYFv0O1zcRnaQf79CXBR9mXDSSVxi8aU8VMCMikNTj6qSeCSSBRHu3QSYADwDdQyXVioxmr/Gq78e7FVdSYeLVCsxscVz4I6SX0HA1EPFD8suOioPaNxAQknWrK9XSFYEHgOzJ0Uu4mokIJAvedHtfFT0mCDwAhGG7612ImrNAsTN6VBzVYQWJ/GhNeboVv3yPklfkCcj+VJto5TRvM573Pra2MY0Ce/uaTlsPYptCE19QiwH8ifhEnoDsae6odlBtTDS9ga3G3JM2TkC0RI5yryXYNfcqg89X6AnQ2LWY1RaV/U83+CMAhsLbNH7eNyUm3zyB5QXCWNB2BrlALK57r8YA2wxgLKyNEVAtB0kJBhW5JZDek/CWSwf0BGjP4wBd9GZhn535vt8FCxCiYW2UqmpxoPOsphfoCdAghah4UhjQ+AZCOLSNUxAtB80jHCuZrxrDwVAIB8/zgXDwFBvwSOfcwDmzNkqDZwcBwJZCDN24Q4Vmu4HivDc5BOMMfGA2axtnJVoOmiEcvBVLx3Ao9ARoT/Yya7y/C/x4FIBwQBvm5VocGDzZ7gV6AjRpCiQqvukjHxq/+XsiOihtnIJoOWhKOPYGWjrV7/MFeQDh6X+giKfhgTs6Lw9ctjZKSrUYoBMPX6AQi/UDqwNj0RqPX2a8NXihxQ5qG+NU7WEqmMZIJH+rFhCMBE8HBUO0dr5jmjCwSXHqehtjoFockImoL9AToJumR4Ni2kkNA7HlEAdpYe6LhkhQwlDfefLwrqv++YI8iOy5wW5H5uh6GGzSrntrbZSPaXGg8CT5F+gJEG3MB2GgTyYpoXEGMBDeRhmIksgxRoI+/aQQCUYwEnuquAV0Vn93yq5Ue8rVs2RtjJDocPnmFRMvUAjDut+6M5z9/c0so20GPjx993e2AqxVR+QXo8BrAz5fkB2FtvdqS/QFsSWIw565D+GXmfzgrbSwk6gaHJBlCi/QE6BBc6JQL33YDqYnTycD57SJ8hEdkZ9EQRiOefHm4C8QxkEWj5iqMQZNTnJvBMDrtrVRTqbEADaEoQDbDmWai+ShoAIEBS/bAnz4qfQmxkmUHCSPYPDKoc9XKASD1xO5MV7WA/7oOh8IhrYxEqrEAVnI9AI9AeK9ikDxniqCxmXuCPinTYyAKokkJRh9b2OZaMJK4i0XD+hBiJeYubFr0hRGS0qRQyy0iZFSHQbo0rYXKMQi0dd1jMVK8AajocgYCmthjFRHpBhDQTO40gyhEOgJ0F6D6GGVtX/mj60F9LNlTZSULFxEYNhTXISeAN00hRUUr/weMCSK/AF57E2MgCqJJO3DRuI1qEV2+DqhJ0B7GSpYW66O4YkicgiGNZET6koMKPwJ9gV6AkQmQC/tsgKDosghFtbE/BcdkeKPf/xNad2r7M0fqOZ0njjiyJJZ8p3qlfKa08Q3Brzxa8Idjj9P4HGAXjjQZi+JN0ym1xFbpO3BVVyEeSMOP55z6C2i7bAcgccB3f15q6Oi0dXNqUj9tztwvIfegczOMoHWTfLcq8EOwAnT+5e9JTQTpt23gbCITtiOs//WW8Sue0RHwAkXi9BWJ3tIqznf0Frc8eM99A5kkPBg/z5PwAnTF0AO2rZAXwCZ//ZARCdsx9l/6y0ixCcf5hjotzBgdX0GcyI6YT/eQ+9ABgjPq+n+4hF4HBiaw2SB3vcLf/JARSPsx7f/3lvEZmcoAI8DGVN67ve91c0l+wWJO3a8h96BDBIuM6a0Ak6YPsRz0LaF/QXfPRDRCdtx9t96s1hmTGk0J4BFaKvbb9vdnIhO2I/30DuQQcKDNzP7PAEnTPMzPKVpfST8qFR0wnac/bfeIha/xuXDnAAJU5o+PEJKq+iE/XgPvQMZIHxfI6a0Ao8DN6Y0fYuFlFbRCPvx7b/3FnHElEZzAnS9Bmx1V8GUVtEIw/EeegcySLgew5ICTrgWTOm7VswxFZ1wDeOQ9xbxGJbQHAPlxpS+SxiWVHTCJQxL3juQQcKjxZRWwAmPMCzd48aUVtEJ23H2f4RhSbU7YTAnQBiWaJYIpLSKTtiP99A7kAHC6UpSivAAHgD4MyFbSBdXEhUPVDTCfnz7771V1OkKEXgc4BkKpo4nQ5g5myyh7tjxHnoHMoEwz//4PAEgXHnmkVrgkqHmQdVvxeqhHhf/tbeKHp98mFNAIyTqLrEu5ixg6o4e76F3IBMIa3HRAwDC85KgsQWuHWoeaHFR81CPi//aW0SbbBQBIDw0QqyOS6ybOa3Bbu7Y8R56BzI/+iGurEvtumOn2+Q77XdEB/IAsp6l8/4RXe+N5PUMxQ4leidpwHaZbspCm7bv+kGJAmxnd4rQg9B6Vrz271kVU62DhMYZ2HrEP22i/quOyJBzRDB6DLtCHASBOFAZomt6HHgLXPeEZYyCtRA2rkEBNoJBALsK7av4gCDQFJuJQRAAgmBNxHnTEemFIAx61V4wCIJAENYtynXfHoSVfuWq4IoAGAZvI4RciQJsB+MApg2i7wkYByoINvAUCABxsCbqv+qIDDEOk25DRoU4KOJxoJUYF4972w69BM13c1cUgDhAGyYESgQQOxAHNG0QfQzKHodJNzKYigp4HLyJMlIdkWGIA71YaRPjIAjEobZ3Tk02s3d77eCJABgGbyN8TIfKbAWjAIYNWme23hAFejlC35zdNgMQBWui3quOyC9EgaY214ZREASisO5yevNL5F590TEMAmAYvI0QciUKsB2MA5g2iD4cF4gDPTbkCcYFgDhYE/VfdUSGGAcqa5J5gtmBPIBQ3cZkcbhpw8wGFyoFIA7QhgmBEgXYDsQBTRtE1Rmrx4GmevYL4qCAx8GbqP+qIzIMcai7EOPnCUAUaHpN7h4FmkxUMAoCYBS8jdBxJQpsMxgEN2zIOq8XxoDewd83mmYAYmBN1HvVEeiFENDnv1318kQgCPRZLkEQ5jqrGa5RCmAQvI3wcSUKsB2MAphWiAqD8YVWFNOHmgmXBgUgDNZE/DcdkSHGIVFtkxt/Eoo8iMx3+Ekkmq3RIRkUgDhAGyYESgzYdiAOaNqhsj8GgOJdAQGNS5UE8E+amP+iIzKMcaCvjzPEgRGMQ9tVHN1O26+bwZWmb77dXWujhEyJAmwnxMFNOzT39yFXXHcNBDBepU6C+6dNjJHoiAxjHFYCjxHiwAjGYfI3FLNDpc0nusJAiIO1UUKmxIAq3xpOKMSBCp03jMPcVRDQuFRKAP+kifkvOiLDP+CzAa0Sb/SRgLbCqfKEpn7QLun72pbn4A9A0oq/G1SqY13fZr7ljdQBPA7wq+hK8wbyEvkVQKXhd5r4Qc0TvRPz41fsfYH23fw6zW2g8ItgVVdSMFeSm9vu+PEee/dg7rdKZ9xVXqMfwOMAvwIRC+O+lAF5oKIRhuNX7H2BdiMczDFgEWJ1U/uzOX2Nbu7Y8R5792DOCfdL3iofgBNuU4O2LTR+jacetOGnbHvox6/Y+wLtThjNMWAR2up61f7bXIeAbXf8eI+9ezDnhHOXd44H4IRzxZQeOQcPcnYPtod+/Iq9L9DuhNEcAxYwVndjSqvohP14j717MGeEaSeS8BtW4HHgwpTeW6F4SqtohOH4FXtfoN0IB3MMFGWw1d01mBPRCMPxHnv3YM4JtyEvWQ/ACbemQdsWWsUflYpO2I9fsfcF2p0wmttAvzCl6QMt/IJUdMJ+vMfePZhzwrnGlFbACWe7Dm4L+cKUVtEJ+/Er9r5AuxNGcww0TGnaIjqY6/E3DMd77N2DOSPc5oyEFXhUZZt24aOjDRNORfPfG9PbdFOm4u3RCYDRbXcK+u8MtkUwsnB0e36HIUltM1la6PbWWrcrdADIfqeVBgossaNAS4Va8xGC9n5/o/3Y2aCIGfp2dxbEbYhWONBu8hwZdsREWoIXeo8Mhvhom6Fv63BlLtvVOm3sDQDZ32XyFah7k9ol6qWQxZaNqgBFEol7Nx0qWHvzoSQA29ym6x04zKaORTC3AXdn93ZnkQwTvhK0+DyB5cHebth17N2I3YKI7oEC4qH0Nv9ZOxAOABGm/ZSxAwdECYvohBkwwtzbCAcym/DeJRoJR4AI94ZB29tOA2EWgbAASph7q/+i3QlHYJsLERrjAmVbcFMkuiPxvAQaTLXkmMwRINvlwnDtncXBAotgXwD1jnub56wdqAZgmwvNO6ayim6MAXOmoKOByCZLdbSAKooPiQ1/tXvreNctottWQHyT3ur51u00USSSV4zKlcLvQUSnyYDRvMIZQRpMs9eYvhEgqh2Sl4ZsSF4RgagASrRD6opmIBqAbSrGhdbxobJ+GuvRmXhOAhEmm29o8XkC5EGeIVwZQrkFsJ7hNEg/85z1AtUAkKGCkaE5UaBMRDfFgDlS8IwECptmu49BJwIPAWHQoWEe9Ivo9hUQ/6S3ei/anWwEtrkw6LQ7DDoqgrkw6Ehvd/Zl0Gn9GHQiQB60cHFrLQw6IoIHLQw60tv878egEwEy12OEehh0VHRzPQw60tuc7S+DTsvHoBMB8iCHQadlDGiO4c54MnIYbkQvUM3HcNNyjE2B4YYFN1QudCKekfwy3NT7GG4i8BAQLm51huFGRLevgHgnvdVz0e5UI7DNheZhuFHRjd1huNl9zdH7Zbih11tItUWirWOwagvDjYhgu4XhRnqb5y3SbJFkj1HpYbhR0U31MNxIb3f0pJmP4SYCZD9D2tYchhsRwXoOw83ua57nY7iJwDYVhhuaAgGqDkPBjTDQRAqbZpnHQBOBh4Aw0JQJQdyC22ZR/JJ+6rPodZIRIEM3xKTcYaBR0U3dYaDZfd3Fl4GmtGOgiQBZb+FSVlrGxBUR7Aug/rVwGRXtQLYdA01pYaApbUZ18zQ3ozthoIlkmHA+BpoIkAcpXNZ4Jo5bSMdAo4B6mMLFVLQD4XwMNCXHCOUw0Kjo5nIYaKS3OZtfBhp6hx4SOQIPAWGgyRMCugW3zqL4Jv3Uc9HrVCOwDYXY5BsGGhbc0H2hE+GMRAJMsh0DTQTIdguXtVzDQCPi/1fat/RakyRJiUf39FwQjxkYsRigYHUvUh0ynpm5RWLDrqF2DKsPNZtzkZjN/H3CI8LdzTyLaY1QLepzuxlu5p5x0jPP8YwA/kqFZo825S0UGgYmHR1OhUZNJ2tUaOZYE9oehSYnDjVxoIkKjWx+jr5TKDQKqLZEhWb6hjATB5k5K5kKjZpOlanQ7NEuNISZrlBoGHgLANNWdreHD8Y2nV2BrW6OVeXbswfKwKSivKSLXAUikkFng0NYYdZQaBgQ7kqFRtYucf+VUrxM1VWp0Gy/EGQNhUbW/vDDGxUaNZ2qUaGZY13io9CkxEEmDjHRZUxWT4RJu03gTlRk9mhTnjjMxEEmKjCyNQO5uiLVxVKowGAYM0z5xZTKCwNvAQ4ff5xUXLbp7ApsdXOsKt+ePVAGJhXlRX6tvdBZKC0bMDEXnRMOZAVbQ2lhQBRUKi1HhVROA9grnIY9zpTXUFoYmERUWtY2K+6uhcfhDbgUKjAcxgo1hQLDgChIdDk7Diow2wQFBxWYPdr0p1BgGJh0dDgVGDWdLFGBmWNNaIoFptwnhkrmW0y8pJXZWG++1TRuA5Y2Hb2VL98WJplCdWFWyn0lcnWlQHUlknLhGaEwVpiVC0wAhL9mGF+xwKgJ7BULzBpryisXmABMKs5LJVeBiGTw2aAQVpgHF5gACPdxUaKOE6aumsC/AVV3XHSSDi4zARC6hJlJhZylEshSITEJz8gRy0y5TgoVzbeYeEkbJpYZNZ1bga1tj1bl07eHieakwjJTZoMnurp56m7ApWCZoTBWmJXLTACEvx4wvpzkvZyBvZykrh6gvHKZCcCk4rxULDNmOlnFMqOjTWqNZabMtx0p2IPLTJlvJIKPA8/qwef0wDN6NDpJB5eZAEwiLDNFlsOAyaumkyUsMzraZcYyU+abrBgqA28BEqZrvovqDNt0BQpshXu06t/ePWAGJh1lSHY3reiOC40CJuek88LBrIDLzROZAVFQ6AJ3Fio32wQFhcrNHm36l3cImAChq1RyzkolR02nq1Ry9mgXe8fJPN9Gp4AJEAVHoaQdVHa2CQoOKjt7tOk/QuFhYNJxhg5yFqhICJ8XCmOG2nsoPAy8BaDC0zsVnm06vwJb3R6tyrd3D5UBoTshM7I2BTo7Q+HZgIk5Mwp9FJ5eONTCgVKLQJHVG+Fjsk3gLlR4OrUILN8QZuEgC2elUOFRE6io8OzRLjSGGZoDAiD8BxSetjsFtvdtOrsCqu6AwtNDY0AAJhXnhRoDzPRQqTFAR1uoj8aA0nooPAy8BaALXOtwVqcBoXY4o41aAtSvh8rAJKLC004qPGo62UmFp1FjQAhjhRoaAwIgCgoVnkaNAWqCAmoM0NGmPzQGBGDScYaoNcBMp6PWAB1tYh/NAaXeofAw8BaALnD1psKzTVegwFa4R6v+7d0DZkACpiaBYWIPiZke8JHpk0VNAiGYFXBoEwiABNyp8FRqFFATAqZGAR1tAYdWgQBMOs5QJ2eBioTweXk0CZRaDp7MDAg3NQkMkwrPNoE/U+Gp1Cqg3iFUAoSuYGaoVcBMJ6NWgTXWhFIgM9hy0yUKzbeYdJErNxWebTq3AltboTaB5dvDRHNSUVbKTYVHTaCiwrNHu9BwgSo98/RlQPg7FJ7SqPBsE9gbFZ451pT3zFOXgUnFeaHmADOdjJoDdLRJpUBWsDkUHgZEAf3YXkrGs5r5nGY8o/Tjv/qFUHMoPIWaA0qh5kUznYyaH3W0y3wUnhxaBALwFoAKT6YWATVdQaYWAR2t+nNoEQjApKPCk6lJwEynoyYBHW1iH20CRTYbpcLDgCigVoEi+4TCB2WboKBR4cnUKqDeIeAWCk/unCFqXjTT6aj5UUe72EfhyaFhIACiIFPhyRnPb+azm/HcZio5ObQLBGAScW4yBpo5zIxBZj4jj3aBku5QchgY3InaBYpsAwxhbtP5FdjqEjUNqHcPlQGhg6aBYVDJSaFpQAETA00DIZAVbKOLE5rC3PBH95KoYUBN4KaGAR1tyhtdntCcVJyVRiVHTaCikrNHu9BwaUo5lBwGhD9DyUmJSs42gT1RyZljTXkOJYeBSUUlJ2UMNHOYGYOkBoEQwgzzCA0CAXgLQMXmuOB8TsO5l7l17XGq+QgNAgGYRFRsDmpaNNPJqOlRR7vMR7E5QptAAERBo8vZsbsGlGG3AbiCDajCRpfSI7QJBGDSUbE5qFHATKDrLIeKDQezAk6h2DAgCqhdoMgbvjB7tgkKEhWbg9oF1DsEnEKxOTJnKFOxUdPpMhWbPdrFxmKT76vRZA7AWwAsNsP0GbQMY9/m0qbjtnL1a6EGYBJhbvINLQPbAKILReAZCQGsIBsXmwAId8VLW57v8QND5WJjgKqreFlV7xBq42IzAMxMqzCJzXSyBZiYhmejxWIz7t/4fCY+m6lSsqhxQE3gpsYBHW3KE5/RxOczcVYSFhszgQqLjY52oeGcyutnWGwC8BbAi02WVTpgzmzT2RXY6i5oHFDPHigDk4ryckH74jacCNoedZyJvGKxyVdoGQiAcFcsNsOE83lRy8A2VVfFYqN+IcjQMjAGYU6oYcBMp6KGgTXWJcZCk6/E5zLxmUx4GRsmFhk1gTthkdHRpjzxuUx8JhMWmHxRo4CZQNVZChYYCmOGeZ5cXgLwFgDmw0mtAmo6+0mtAmusKt+ePVAGhOqivJwXlhYznezC0qKjXeqjtMgy4jR1GRAFlUrLWWHGTAPYK8y2Pc6U11BaGJhEVFrOioFWDrNikNQsEAJYQaZQWhgQbmoWGCaVljM0Cxig6qhZQL1DqCmUljNhZqhZ0Uwno2bHNdaEpkdp6dQsQOZbTLqY9d07sH1v07kV2Nr2aFXeqVmAzElFWenULGAmUN0shc5ID80CuddQWhgQfmgWyPITEMyZbQJ7odLSoVlAPUOgNZSWXjkvFQOtHGbFICufjfooLT20CQRAuA8qLR3aBJYB3NAmoONMc2gTCIAQJcwJNQmY6VTUJLDGusRHaWknnUs032LSZaydVFq26dwKbG2N2gOWbw8TzUlFpaVRq6KZQIU9KDrahYaz2UJjQACEv8B8aNQWoCawU1vAGmvKQ1NAAISqcl4qlRY1naxSadmjXeqjtLQjlBYGRAE1BQwTZsw0gP2A2daoHUD9QqhHKC2N2gGGid+mmglk+G2sjnaZjwJTz1BgGBgKKjUFDJMKTA1NAQZshZWaAtS7B8yA0J2UoXpSiVHT6U4qMXu0iT0fRabSC/ffERAF9A5+roUKzTZBQaFCU2l9APUOARMw6ThD1CBgJtDdLIfPDgWzAj5CuWFAFNBP7blQk4CarqBQk4CONv1HKDkMTDrO0IHhHhzsgaEefF6OR8kpoUEgAG8BqOQUaBBYBoQJDQI6TjWX0CAQACE6oeQUag8w06moPWCNdYmPklMKnU80hZkaA4ZJJWebwF2o5BRqDFi+IcxCZ7IUzgq1LZoJVFRy9mgXGs5mDi0BAXgLAPMh3/juuprOrsBWl2FNAPXsgebQDpDLwXmhdgAzPVRqB9DRLvVRcnIPJYcBCZbaAXLuMGOmAaF2mG2ZGgHUL4TaQ8nJ1AgwTCo5ObQ0KuBSqORwGCvU0A4QAFFAb+APk0pODu0ABqhCWhlAvUPAoR1gAJyhQiVHTacrVHL2aBP7aAnI6Q4lh4G3AHRpSzeVnG26AgW2wkSrA6h3D5iBSUclJ1PLopkeMLU86mgX+yg5KTQHBEAU0Bv4OVF7gJoQMLUH6GgLODQIBGDScYY6Zq9zbjtmvvN5ebQGzI2G6XObQmvA3HkY07WXEVCGvTqA829A1VGDgHqHUEODQE4FCk+i9gAznYzaA9ZYF/ooPMdNZxXNt5h0kTtuKjzbdG4FtraDGgOWbw8TzUlFWTloRSMzgYoKzx7tQsM5PeiV++8ICD+8hT+3C4bJu01gb1R4DlgdQD1DoAQIVee8UDuAmU5G7QA62qRSICvYHAoPA6KA2gGGCTPmoHaAbao2agdQvxBqDoXnoHaAYVLhOUJLowIuhQoPhzGXhr1DU0AA3h9r918D1la/xqCmKTBgKdTRW796t4ADIHQ3ZmiYWHjMdDpaE0lHm9hHY0C6GxeeAIiChhe4uU1wB4bGhccAVdjwsqreIeDGhWcAnCFqWTTT6ajlUUe72Fh40h1aBAIgCuiN/Ll3LzKEJgEDVCGtFqDeIeDQJjAAzlDG7GXObcbMZz4vjzaBdNGv698ReAuAl7m0lxRUhm06vwJb3UXNAurdQ2VA6O4DDqdWATOdjFoF1lgXesWJfDU6q2gKM/3QPvfjhY/JFZoEDFBt1ASwfEOYjc7n1TgrtKqRmUCFhUdHu9B4TjMXngAIf8JAExYeNYE9YeFZY0155sITAKGi1oBhYs4yZzRjvqkpIIQwwzxDU0AA3h9zR134lJ7QFLAM5z6hKUDHqeYzNAUEYBJhyRkmlhwzgQxLjo52mY+Sc4bWgACIgkoXNdktF5K5TVCwAVVY6YJ6htaAAAhd4ww1KjlqOl2jkrNHm9hHe0A6Uyg5DIgCahGYe+LCR2SboCBRyTmpRUC9Q8AplJwzcYZofSMznY7WR9LRLvZRcnpoFAjAWwAqOZ1aBdR0BZ1aBXS06u+hWSAAk44y1KFZYBtOBc0COs5kPpoFxsNQKDkMCDc1CwyTSs42gb9SyenUMqDeIdQaSk6HloFhYC+JmU5GjY9rrAt9lJye+KwmPqf0lv4wqeT00DJggGqj1QOWbwgz8flMnBVa38hMoKKSs0e70HBO2xVKDgODv0HLwDCo5GzT2RXY6hq0DKhnD5QBoaKWgWFCzpbhRBfku1GzQAhhhRmaBQIg3NQskBo0CywDuKFZQMeZ5tAsEIBJhDmpVHDUBCoqOHOsS+Ry83fada5eslR4/+lnWe9YXsL+FeiNUHqVu/xUL/kmZgLHK10TmHvgGSAr/ra5Sx4eM3cCRC8KLKY5iKE3Qk22ywa//ZVTR+4FTDeqT4+xCLaTEORePXuBcy3kRMlQ6I3QoD2yJ+O82yvdpwtSAJIBx6yowIsCiwmSgeSaDPm5ZTj0bMjvIKVBNjaA2bBjNHrzEsLkdPQ296L6fkKYjp5ffdxbejpkV/GUIR0bwHT4MTtU96LAYsJ0ALlB4zwXSIcsutwbck8bkmFHmH51EWLkXIzJLPuVfT8hzIW8YFNOyIV8f5cxFxvAXPgxOyj3soHNhLkAcoPS3ELNHctPk/A52TbmQo+wkNRFiJFyIastyw5230/ojdD4hFXIRb/z3E3M9CgAuYBjVlDgRYG2N9R7QG+Ezlft9SdwfM1d9YD82tvsgUA9xkJQLyFMTod8Hd0vSseGMB1C0jqkQx4OYaZuG5NhR+yg3MUGNg3mApgNkm0wCuRCvta+bqDeAObCjrGQ1EuIkXORR8Z0BwKGMBd5pPFMkIs8zjJOVQUwG37Mjsu9KLCYMB1AbtA4yzemI9+v676QfAGYDjvGQlAvIUxKx1zn+U6YDoXe7rzNbVHmiR4n/ByAfAVyNpeoAEQGg/Lrdr9ul9d57M8JIW90Ul/3cQHRqEppXYa3lA38QLl6jIW0HD9iXLkYd0ij9vzc2v2687pqBEgUyYasANWr3LKZFQKX7H72s6zenPI6y0V2ihOovNq8hBvQXner4GUDcxBDk3zcHonufr7mTYPqM7u+xpHkZdx9nRWp7Zgl7xHk3s3hWsPaqH/nKicBmlssnMvXhqqsjJNE4DiT/bwRGJ+Be00Mg/prDlEf4/+HBGE8C/jx8YCEOol8HCab0GV3a6YTG6TizIfJ5xDX5gdn28MsFRGSxfrPMXcL+JI1c5avzeaAKXJoanYfOybnsVREaFL3V0s07JqfI/W6LaDdiClTB6ad41t5GJPv5DQwMvdluIOnMdFTQS4DXI5BS6/50HCUxpPAiBCPSTwvFD6orgvFdmqm0xqk0syHiuf4VhakMfnmNARobt1QX+TpGFeehFwGuB6DlmJ1oQEZi6chQJP4mqXBh0n/8ulezXReg0yb+jD1HODaUuHM68LriYiQ7HZwHjS0yho4B2bdAVPk0NTsPnZMzmOpiNCkbusi78PGDXQHt2o6sUEqznyo/BDiSoW0ZjZORYDmxg9951l9SXPphWwGuCKDlmbzoTEZj6ciQEIt60s1HCa9pX7hcdOJDVJx5sPkc4grFUfdwzwVARI9Rwm+xnPeQYk3wBUZtDSbD43JeDwVAZrU53hoomGXbFbrbtUEYoVMnPow+Rzi2qphTFs86vsJzQ0jxs0KltAmLXwN2BwwRQ5Nze5jx+Q8looICbWsU5hpWJE9ZM2tmU5skIozHyo/hLhSMaZtT5yKAImeMi7ImNY2nvoOLB4OuCKDlmbzoTEZj6ciQJMary9tTPXk1x83ndUgU3aTcA5uJeHgmwiyRcNsX3InshgP5doB0+HQUqouNJCDbx7InpT1xZGPe7N2gT81PXKDNHLzocEf8c5BmqvbRcFHaO4/0XdONQEdPwbb8tC7fwB86I7D3VvsEZqMeuuuw8ZshltTN53VIJOlPkw1R7YyMGbpzcUyQqKnZNkfGHyVY+dW2QxwRQYtzeZDYzIeT0WAJnXfDwE2bPwDMmwmECtk4tSHyecQVyrGHG1cLCM0N6+4dp63rzIe5m68S3HAFDk0NbsPjcl4PBUBklQciR42qjR0w/2pm54KgzQV5kNTEUJcm0rIYxoXywhJKnplX7LyT8E56ICnwqCVCvOxY3IeS0WEJvVFDxsDGPfmGdyqCcQKmbiLniUeIa5UyFfuXCwjJHrkm3qsELJQ0I13KQ64IoOWZvOhMRmPpyJAk1rvzm1YhYcss5xWEVVmDlR7iG9t0nCfL366CIjsn3C3neLtKd91e9pcDpgch6Ze97HDMRpLQkAkB0e4EZd+8QpJMNOzYJCm4QgPBCG+lQVZnC2kIUCShzHHMaG5H68bC6YDngaDVhrUhWbBWDwNAZrEelNuwzo+ZLkJvJ0fstyHqecAVyLk6zyuGxGaG2qcNLTKwkP0aOuAKzJoaTYfGpPxeCoCJNRjEh9YQqXNHG5N3XRig1Sc+TD5HOLaCUKWyOqUigjJNg1jmpOvNDeyBTYHTJFDU7P72DE5j6UiQpN6fguOw/S2fLtVE4gVMnHqw+RziCsVPdEzw/cTmtty3K+KJVS60+np1gFXZNDSbD40JuPxVARIqHu4C09jtlevG246sUEqroengRjiSoW8U8F1I0KiR7YQxxI6lzfCOeiAKzJoaTYfGpPxeCoCNKnHHTpeaJO8eOFXIDed2CATpz5MPoe49pqQX6D4IStCsgHEmOsV0yr97RmLhwOmyKGp2X3smJzHUhGhSd1ozLj+gMttAedGTFYj1RzZysBcRY4SwIiIkD2bsWrIakidiAxwLQYtseZDY1EaD58RIR7Tt+EFVlrgT7/quOm0Bqk082HiKb6VhdzoKeL7CYmcMbvpsU3WTKI0qO1yFFl6zYHGYySehQBN3k7PHlXa4+FO1U3gvfl+132Ydo5vbWAxZmmi2vmA5l4hFw0t0izfoHYCoIoAEs3gY8UEPJqKByTUt96j27Bxl97crZlObJCKMx8qP4S4UjEcts6pCJDoGTzsq9XtS9kMcEUGLc3mQ2MyHk9FgCb1Rc8eRVrqU3W3ZjqxQSbuoueKR4grFWPapsqpCJDoycfOs/pK9/albAa4IoOWZvOhMRmPpyJAk5rvzAfQX2cGt2o6sUEqLvMTwiPEtUHGmLaNaucDkr0rxlzHx5QiHfeUeAdMkUNTs/vYMTmPpSJCQn3rzboOu/ft+vKqltMqosrMgWnn+FYehoOUOA8BEjHD6Yk5lbWd8EkXABdk0FJsPjQg4/E8BGhSy2gcJb/pg1c1gVch07ZdmHgOcCVCeuBvTkSARM2Y5uQqdXrsAsD1GLQUqwsNyFg8DQESYlnV76JheqO+vJrpvAapNvOh6kOAa7eNMV8PKqEPSLbAuOpO8vYlbf34sAuAKXJoanYfOybnsVREaFKP2/QTh42Z7jerYDqxQSZOfZh8DnGlQtqRuXRESPSMf7Iv6VS+kM0AV2TQ0mw+NCbj8VQEaFLX19VomN6ob7dqOrFBKs58qPwQ4krFmLUHl44IiZ4x1TtW0TO17UvZDHBFBi3N5kNjMh5PRYCEOh/0+DEAvVFfbs10YoNUnPkw+Rzi2s9DNqTk0hEh2WhDXnPBitxlM02cgw6YIoemZvexY3IeS0WEJnV/XZmG6T37dqsmECtk4tSHyecQVyrqTUd9PyHRM+Z6J1/15MQ74IoMWprNh8ZkPJ6KAAn1YMhYRXsblyD3qpbTKqLKzIFp5/hWHmYHP6WBEZGSKj18lfmGAdZQB1yOQUuv+dBwlMaTwMgkDnfofczq+wKnagKtQiYtPCmE+NaGKFd6nVxCIySbdow5js9xpZ03pdxsk2PI1OsOdjxOYlmI0OQdN+sXDRu36ye4VdN5DVJp5kO1h/hWHsZcLfzwFSHRU9vOsfqqdftSNgNckUFLs/nQmIzHUxGgSX3TQ0gRDbdfd9x0YoNM3E0PGI8QVypSeZ1cQSMkesYsZ1/p4IcvB1yRQUuz+dCYjMdTEaBJ3ekhZAAn/FYAJhCf9IsD+DD5HOLaYWVM28IXiQjJtifn+cIvewbQt6/N5oApcmhqdh87JuexVERIqMdcxoeQAZTX7RcfN53YIBVnPlR+CHGlQvoyuWxESPRIsyb5kvZTvFI44IoMWprNh8ZkPJ6KAE3qi55DBrBv2rfXbQHtRkzZRY8Yj/hWHqQpkx++IiRijnsnWX1JpyZl3QAXZNBSbD40IOPxPARIqMdEpomUKj58uem8Bqk2daHiQ4Br8xZZ6JArR4RkXxXpzMSkjrvoneVN5oAJcmhKdh87JOexRERIqK+DHkMGMG7YvYa66cQGqTjzYfI5xJUK6czk4hEh0VPT68IiOs4w590BV2TQ0mw+NCbj8VQEaFKP2/WThukN+3arJhArZOLUh8nnEFcqZK9aLh4REj3SsUm+jr7zrGwGuCKDlmbzoTEZj6ciQEIt3aNYc0rSG/bl1kwnNkjFmQ+TzyGuDWGkF5MaRx6Q7NVyFvaVz7Tj2mwOmCKHpmb3sWNyHktFhCb1uF2vNGzcsBdwqyYQK2Ti1IfJ5xBXKqQ5kx+/IiR6pEGTfJVr+1I2A1yRQUuz+dCYjMdTESChHnMZe80G0PYzxHJrphMbpOLMh8oPIa5USC8m19EIiZ6j8aNclo5NSrwBrsigpdl8aEzG46kI0KQeN+54tc1jtvulwiynVcSUqQPTzvGtXWfmOtKYhoDIZjCyfiN6StKsiVXUAZPj0NTrPnY4RmNJCMgkrvQoMoBx036DUzWBViGTVukxI8a3sjBm781FNEIip5zBVWn0+GW2y1Fk6TUHGo+ReBYCJLxjAuNjyADGDbtfd9x0XoNUmvkw7RzfyoN0aXIFjZDoOQo/yqUjhaQb4IoMWprNh8ZkPJ6KAE3qTo8hA7j3e1XbrZpArJCJ6/SI8Qhx7WVz7nemPBURkg1mpI0TfR395OdeB0yRQ1Oz+9gxOY+lIkJCfeobZTZsv6G13ZrpxAapOPOh8kOIKxXSoMmPXxESPWOqsy9p48TEO+CKDFqazYfGZDyeigBN6nHHXmjYjY9fbgLxzY9f7sPk9+fj13FkeqD4fkKiR7o2YWi+73u3uC42AFQRQEuz+dCYjMdTEaBJHW7Sj0Nf0tpu1fRUGKSpOMLDQgxx7ZTT+Z2t7yck29jIK4YZUyFtnBlTYYCnwiDRDD5WTMCjqXhAQn3S217D1pv25dVM5zVItZ30JtcjwJUIWRL75kQESNSUjA9zw047ycplgOsxaClWFxqQsXgaAjSJO73iNgC9Y99e1QRehUyb+jD1HOBKhPRoXpyIAMkeMffNvq67v5DMbNNjyBTsDjQgI/E8BEjycPCrXgPQ2/WVBzM9DwZpHsyH5iHEt7bjkaZNKh0PSPIgjZvo65KVjC9MhAGeCYNWKszHjsl5LBURmtT8qle+ZGOG6m7NdGKDTBy/xvUIcaViTFl+xe0BiR7p5CRf8vY5zQkDXJFBS7P50JiMx1MRoEnNr3plWUjlKuBWTSc2SMUVfo3rEeLa60aaNunh6wHJBjSybAr6koVVMpYOB0yRQ1Oz+9gxOY+lIkKSiuOgh5C8VlHxVJjpqTBIU2E+TD6HuFIhPZqZUxEgScWY6+yrH/RuIQCeCoNWKsyHpsJ4PBUBmtT8qtcAztcFXrcFtBsxZfwm1yO+lYdCr259PxCRIrt/kydp4sScO+ByDFp6zYeGU+iFrx8fERHikuhBJMtiKv56G5hOa5BKMx8qnuNbO+nc/ALX9xOSTW6kcxM8zZVUsH46YHocmorNxQ7IWSwNEZrEe80FH6avbm2vagKvQqZNfZh6DnAlQto0T05EgETPmOHsq92cdQdckUFLs/nQmIzHUxGgSV3oKWQAuCYDmE7ceWUH8KHyQ4grFWPGJq4bERI90r+JJbTnSm8ZAuCKDFqazYfGZDyeigAJdeHb8wHgmgxgOnHhlR3Ah8nnENduPWPWNnr6ekCykY40dGIJbde987zZHDBFDk3N7mPH5DyWighN6kbLTwxA79e3WzWd2CAVZz5UfghxpUJ6N7luREj0DB344lsWHfjYC4ArMmhpNh8ak/F4KgIk1GMu44tvWZZP8cUZwHTizks8gA+VH0JcqZBWTX76ipDoGXOdfeW086xsBrgig5Zm86ExGY+nIkCTml4DGzYuzgAm8PISD+7CxLfn01cdk/bg6hEh2ZRnzHR8i24AFz30AmCCHJqS3ccOyXksERESalnH/KZhDW9c3XRig1Sc+VD5IcSVinbSAhzfT0j0TB701Qq+cei261FkCTYHGpCReB4CNHn5LbBcOy7MAKbzdl7eAXyYdo5v5UG6N/n5K0KiJyd6k24Ax/albAa4IoOWZvOhMRmPpyJAk7rx81fNuDADmEDMyzuAD5PPIa69lMacrVxHIyS7/0hLJ/oqV6PXDgEwRQ5Nze5jx+Q8looICfXNb4ENABdmANOJb17eAXyYfA5xpUKaNbmORkj0yBYA5KslevsNAFdk0NJsPjQm4/FUBGhSn/QcMoAL3n4DE4gvevsNfJj8+nj7LRfp3uQ6GiHRIx2cWJNLOum1QwBckUFLs/nQmIzHUxEgoc58p17g6baEh99CT8c2UjWHuNYWTXNhcww/ILJrkqx2jhUjSxcn5toB0+LQlOo+dhxGY8EHZBLf9AiS840rNYDptDev9wA+THx/PHflxq9yfT8hkdMoCdLCiWXTAVdj0NLbKAONX//68fGAJmmlRTcGgEs0gOmsjRd6AB+qPQS3khC6M7+fkOgZs5p9pcbPXA64IoOWZvOhMYXm0h8fD2huFpZoNYoBZPidAEwnNkjFmQ+Tfz1efBtYo0eI7yckGzBdmV6iG0Citw0BMEUOTc3uY8fkPJaKCE3qTotuDACXaAATiHmhB/Bh8jnElYp2hGUMH5DokT5O8lVPfth1wBUZtDSbD43JeDwVARLqMZdxNYoBVFjGEEwnNkjFmQ+VH0JcqZAOTf7aMkKiJ1V6iW4AhR92HXBFBi3N5kNjMh5PRYAm9UUvvg3gxmcuN4H45mcu92HyOcS1l9SYtic/c0VItnmStk1M63HetMoLAKbIoanZfeyYnMdSEaFJ3XBZimHjWg1gOu/FKz64CxUfAlyJkGXbuXJESNTUTm/RDaBx2h1wQQYtyeZDQzIeT0SA5gZm/BbYAHCpBjCduPGCD+DD5N+P5QzzIU2bXD8iJHpS5ue3Q5YQRTK1XY8iS7A50ICMxPMQoMnb+JnrSLhOA5jAy6s9gA/TzvGtramkQ5O+u3xAsl/UedFrdAPo9OobAKoIINEMPlZMwKOpeEBz77NMzx4DwHUawHTii1d7AB8qP4S4UiEtm41TESDRI22bHX3JMqInshngigxams2HxmQ8nooATWp+BSzdDddpANOJG6/2AD5MPoe4UjGmLb/69oBEj/Rxki/pKe3IZoArMmhpNh8ak/F4KgI0qSs9ewwAl2wA04kTL/wAPlR+CHFtfnXym1zfT0h2pZKVRKF4DKDRO4cAmCKHpmb3sWNyHktFhCb1TStvjFun5D75Hl9t03TTqhqPyFYGKr/F9f2ERIbsZk++ZAFRzLcDLsegpdZ8aCiVX/768fGAJnWnB5EBnLBeA5hAfNKqD+DD5HOIKxWJX+T6fkKiRxYQRVfSwEl5N8AFGbQkqwuNKPELYD8+HtDchi3RY8gAcLUGMJ038ZoP4EPVhwDXflonv8n1/YRkk6uz0NAkK17jAy8Apsihqdl97Jicx1IRoUl90vobA7hhgUMwgfimBQ7Bh8nnEFcqpEOzcyoCNPdTO4Iv6ePExDvgigxams2HxmQ8nooATepCC1MkWQnbH7/AdGKDVJz5UPkhxJWKMYl5gcMHJHqkbRMrqCx9jQu+AOCKDFqazYfGZDyeigDNXdf4/nwAuGADmE6ceNkH8GHyz8cCh6mPacsLHD4g2UTrzPQaXZKlsHHBFwBMkUNTs/vYMTmPpSJCk5pfAUuyGLav2QCmE5+88gP4UPkhxJUKadnk+hEh0SPLi5Iv6ePEWxcHXJFBS7P50JiMx1MRoLk9XKJX3waAizaA6cSVl34AHyafQ1ypkA5NzgQjouaowZMsLooz0AHXY9BSbD40IqXxPDAyiU96DkmyELYv2AAm0PKyD+DDxFN8a9czadfk4hEh2ZBsTHN8jkuy7DXOB7NNjiFTrzvY8TiJZSFCc2O5Qu+9DQAXawDTeU9e8gF8qPYQ38rDmK783tsDEj3Sskm+ZHMknHsOuCKDlmbzoTEZj6ciQJOa3/9Ksg62L9YAphNXXvIBfJj88/He23/76fcf4zFk3Ar+zUf6o5vEuYtRsXNuM3GJljV4w0FFWuNlPxVh+T8f6Zh+9v9+fP/0n375+I//NeWf5GusNh4Tf/nDh7DnvNiT/BoiP+RnWSrjuH/65fvjv3/+va/rNZ6uUv/8+18/S13utX/+g6+fz/HMXTP98x9+jQDS0ca99+dvvgY6WOrnb+WA86z35598/XyN54B81M/fDa/HeV7X559+ic+Uuxw5eMc/cp5cg7fcN3j6q//99XPqY1wtn/9oco3b6n4Dw3RWWj7S5z/++h+//JePLPcx8vuLfGkgu7398j9HTH/113PEeDptv67kd18/y1Wt9USk/+RrPFqdfRyAof5TE/jPvmSN+PsYjj//+dfP8ktPzSfG/adT1X/+5eP34/TLf3/9vz7qfJt07zR6j3Pc5m+pBrwH0BBodW6wOO8N0CzT/PGxgTwKqPwO/nbgnsB2l+U8TzOj+UMFKSAL5DYEapHuPXNn5qKbKxMLoILeDizB252GE+L/8fGH//AhC3PU8Rn5I5soyq+J8pNF6vfcxGHkrkjnTnPovdJ5w1Ej/vXZnbvZtguBOteTlhxuKI+bYekkfwOUj/kuoTnOuWR5WcjIFfjhEhXa2ZCvlRWqRdq4T3fswCafCw4vSCW+EVphmGMN9JEfvQStS8KYe//Pq8RAZF+l41euEnV8NEqW75ZGJd5XiX81PkXjItHS519+yQao99E//7VM+/s6Svr8CwHbXcrnv/y65YS2/Pln4zM2qsm4YsnncVxF7yvNz4qi/+Zr/KtcVxmfMPP0b7/mZn19HCj/KP36/Bf+V/f+W2G82n0NTD7W+ShNnI9BPdc02FXRb+Rf9azyZ/lwJrkezOkyrh1dLxl+1G+nk3INhe7kL/hffWRL2Vq+x9VK/lXvMi5sSc6RpMT+atifS8S53w1Fy8VKrmr9ynKps+uHlpG//SPiU/vuSd5ZGZB01clbGwqNqd1lg8rqUJPVaOQVsCTvtow603peqz+srzdla7Em/YJS/NM9Zteouk0W8rkXMNd8bl2WoZ5M1/yVXwb1+ppyrtmD0KT/Ugr4AGar9gCu7dWJxm1HrijmOufLeSb3PI5XcfvHx7g/K/NOwIPssvKqPEsp1OUHnTqBcZd7ETCudPKxcyTfc7n3VVy7vC06bhNkje95ye7yq5kA6yv4QTZX2bUj3nHIe3wSx3Wu3nNnizzfThZHBlz72u3A3LxomHn9fN6nUeeVe5k/5GDZkxb+TiPd7zy0A/MbgLbHLlel7tGLaplzfMa/HjwWo5qrt25I+i3WVo0K9Hkj7YGWcxWZ6b+cq0Rs9m26ev87jXS/81DnfZupOZlBSlMI0ixTg/S/7hAujHl7xiCrfJowSPkQVgyyrh9zqrzAk8WsW/nk36aH6X+nse5Zw9zMbzM1Iytb8q4DhLlMC9P+uoPQsRgThXlVnrStZJ60zabHDLPZ9Jj82/Qw/e801j1bmIvZwrzyVr6ydR04Zbc5x65s2993GJnivmqctG2tae+B9lR40sqSWStZk6HzfOown/o6/PRp62Pdswa6md9mak5WvnpBmm16oP73HQZ9WLdvDLTPzawx0LvzxJUXBWDinjZJpoJteqD+dxrrnjXQzfw2s+PE7bXixN2mB+p/32F0nLrb9w40r5c8dOKKefolUEybHivEK+H1cJsQ4gUfRx97mV8NcbNqiHOTYQ9xbkLsk3abHqL/PeNYj8bDk2+2dbqK2Y91A6tmxql62RyZ4V0wh6Yu//v9otHbPOxMXMb8NvPA6XodN1Et00P0v2cc6xFBiHe1iTrMu/plb5oFJ+lt02HyblM1+1/vF43dZrbzsCJezG8AMk5VWZr3giDvg6eq/53GumcPUn5X9mlajlxhmpaDJswwT5imau4g4a+iGcZu0+vNivr0u48N6AdMMnZmLJ7b9BD97zTS/VqIRVacv3aIMnaufaCTdQMXXGHmYgk+h9TUMP2vN4+9wbeFqexvALp9fIssjg9U25yjV8bt7zTS/e4wVxj1sAm7gMsveBvAe7pxV4HTSk0LVP8qnxIYq+ZFk1bZPdBULrsuD6PDlUhND9T/XngsRobBSn/fgWc1n37p20DGySsLE3W7UKipwdpfV3Q2Vk2rORvIdheiwGGTt2S7e1tUyVO1pNjfdygHxr59Y7DlqDyFS8s8hQvd3Q1T581UUGBeXfDXpd3Gqpn13Gxgsb8ByD6FZZcipDoST2H/+w4lY+zb94+PP3zIu9X5Gk+bxx/90rJe4xNf5jcebb57TtC4x9xbPiskGyfdss/xuRY5yaJibvosSx12B2SnY+lC63iMrElY0YsCm0kGSa9acz1vhKp8efmTO85rOTMn38Ak3wL9GI3KvHDka8dpC7TMbZoxHWUtd0rpmFu8Wy7GzWhOmIsFYFh2jOViunBrcswRCi0lb4LmV7+Q4Tx/1gHmBWAi/BgLUb1wzJyImuZWi5iI2uW7UkpE7bNppEq3iLz/OIBTHsVd0QYwF3aMxmVeHCjrmwiAlp43QUV+gQbH4w7kJvIFYDr8GAt0ewmRh3TIbTHPC1n79booHXMJVsjGXKMV9Cwbc6FHaEzqwe1JQplYUigTcp+eMRN3xTTcK5d2ktZfLbQ9OMTKCZBfN/pJCejyZl2hBMjLqAXng3z91DAFG8Ac2DEajnkxYDFhFraeN0HXnlea3EGaKf8LwFz4MRbo9hIi53TIl2Y3zwf5bT7xfDhlrc0L0iFfAl8gaNmYDD1CgzIXDqT9rbWnZ4l5E3TIW4eQ5HavqannYdqYCTvCQtwuQsw7EfvzNJsz+kqEQvKe4Z4XBjX5IhESMSbdVeFStgFKhR5joasXByYT5mLreRM0VwMGx9Iugh+QDWA2/BgLdHsJkXM6rjw7pzAd4rJelA4h7jgvpNVN7mAsHRvAdNgx0kxd0IsD+jxqsW89b4LammHqV15lJ+4FYDb8GItzOQlxczLkbifz3JB9clqmZNxj3p141bz77CFxQRvAuOwYjd28ODCZ5iCFlp43Qof8AgHZkLuwTuQLwGz4MRqCegmRh3TIm/GYjXHvdsg/3gTJjyw+Nwcwlzw3QQpANvyYHZZ7cWAyUTamHEqGbN8EHy/ZWqpfmIsFUC7sGItyOeGoKRPlOGfD1Lf7KfJV/LUnhkFNll3xVMgueLlAKjaAqbBjNHLz4sBkglSonjdBZU8wzfGZXnfF87CAmQw9V3aMBbq9hMh3OjTQJr9LYDbmcp+dsjEX3jwhG3NpTvggK4DZ8GPKfBvfvTgwmTAbS86bkPkSGmRZ3uVG7g1gMuwYD3N74bg5F7Lm6/hsUTKuU+5gKRnyriJOjfGJk087JGMBlAw7RmNXLwYspjlIoaXnTdAlv8OBY1nYjMgXgNmwYzzQ7SVEzukYD7Ovm7Ihv6YknhrlnPuwOVmRNlW4M1YAs+HH7LDMiwNJH+kMmnLehBx7hqnfdMtjFXAvAJNhx3iY2wvH/XfvxoFnQn+w7et1ZoWqbFB1refG9JrPYQZYS4BDQ0mTY8xLWk/7dgncwMzTOdd68GPuFrwY4EwGqRrzonpDTD9W89Dfngj59kD0lrI2jvn2W4ki+7T3dR7XV2J21Ps58L1PgvfCyAOcfK936++hG5DVL+edTpOFWX8N2EPe0cdbfmf9/2t4qHMxmHGBHZ+qSxse5Df7u33+5ZdsdXsel/Q72O/02PDw67/kT/w+rpp2r0KRpgTrT/jd1/ympxUZJb/5j8ze41zOu6xD7pVnW8JPXz+LjnO2Z8nYlOvuNkjX+fmb2U3Rrr46rnobfOJQavpx9tUvIadM2hFm38VZPv9kaR+O/p0cWPOVMArtfzglttljdY+Pq7Qsy3tYZVyWpzIf+++9Z+H3H/8Xnw9Gdw0KZW5kc3RyZWFtCmVuZG9iagoxNTQgMCBvYmoKPDwKL1R5cGUgL0ZvbnQKL1N1YnR5cGUgL1R5cGUxCi9CYXNlRm9udCAvSGVsdmV0aWNhCi9FbmNvZGluZyAvV2luQW5zaUVuY29kaW5nCj4+CmVuZG9iagoxNTUgMCBvYmoKPDwKL1MgL1VSSQovVVJJIChodHRwczovL3d3dy5yZXNlYXJjaGdhdGUubmV0L3B1YmxpY2F0aW9uLzMzMzMxMjg2OCkKPj4KZW5kb2JqCjE1NiAwIG9iago8PAovRCBbMTEgMCBSIC9YWVogMTM0Ljc2NSA2NzYuMTY0IG51bGxdCj4+CmVuZG9iagoxNTcgMCBvYmoKPDwKL0QgWzE1IDAgUiAvWFlaIDE0NC43MjcgMTUwLjk5NSBudWxsXQo+PgplbmRvYmoKMTU4IDAgb2JqCjw8Ci9EIFsxOSAwIFIgL1hZWiAxNDQuNzI3IDE1MC45OTUgbnVsbF0KPj4KZW5kb2JqCjE1OSAwIG9iago8PAovRCBbMTEgMCBSIC9YWVogMTM0Ljc2NSA2NzYuMTY0IG51bGxdCj4+CmVuZG9iagoxNjAgMCBvYmoKPDwKL0QgWzIzIDAgUiAvWFlaIDEzNC43NjUgMzQ4LjUyMyBudWxsXQo+PgplbmRvYmoKMTYxIDAgb2JqCjw8Ci9EIFsyMyAwIFIgL1hZWiAxMzQuNzY1IDMwNS45OCBudWxsXQo+PgplbmRvYmoKMTYyIDAgb2JqCjw8Ci9EIFsyMyAwIFIgL1hZWiAxMzQuNzY1IDMyNy4yNTIgbnVsbF0KPj4KZW5kb2JqCjE2MyAwIG9iago8PAovRCBbMjMgMCBSIC9YWVogMTM0Ljc2NSAxNzguMzUyIG51bGxdCj4+CmVuZG9iagoxNjQgMCBvYmoKPDwKL0QgWzIzIDAgUiAvWFlaIDEzNC43NjUgNTA4LjM4MiBudWxsXQo+PgplbmRvYmoKMTY1IDAgb2JqCjw8Ci9EIFsyMyAwIFIgL1hZWiAxMzQuNzY1IDE1Ny4wOCBudWxsXQo+PgplbmRvYmoKMTY2IDAgb2JqCjw8Ci9EIFsyMyAwIFIgL1hZWiAxMzQuNzY1IDI2My40MzcgbnVsbF0KPj4KZW5kb2JqCjE2NyAwIG9iago8PAovRCBbMjMgMCBSIC9YWVogMTM0Ljc2NSA0MTIuMzM4IG51bGxdCj4+CmVuZG9iagoxNjggMCBvYmoKPDwKL0QgWzIzIDAgUiAvWFlaIDEzNC43NjUgMjg0LjcwOSBudWxsXQo+PgplbmRvYmoKMTY5IDAgb2JqCjw8Ci9EIFsyMyAwIFIgL1hZWiAxMzQuNzY1IDI0Mi4xNjYgbnVsbF0KPj4KZW5kb2JqCjE3MCAwIG9iago8PAovRCBbMjMgMCBSIC9YWVogMTM0Ljc2NSAzOTEuMDY2IG51bGxdCj4+CmVuZG9iagoxNzEgMCBvYmoKPDwKL0QgWzIzIDAgUiAvWFlaIDEzNC43NjUgMzY5Ljc5NSBudWxsXQo+PgplbmRvYmoKMTcyIDAgb2JqCjw8Ci9EIFsyMyAwIFIgL1hZWiAxMzQuNzY1IDIyMC44OTQgbnVsbF0KPj4KZW5kb2JqCjE3MyAwIG9iago8PAovRCBbMjMgMCBSIC9YWVogMTM0Ljc2NSA1MzEuODk2IG51bGxdCj4+CmVuZG9iagoxNzQgMCBvYmoKPDwKL0QgWzIzIDAgUiAvWFlaIDEzNC43NjUgNDU0Ljg4MSBudWxsXQo+PgplbmRvYmoKMTc1IDAgb2JqCjw8Ci9EIFsyMyAwIFIgL1hZWiAxMzQuNzY1IDE5OS42MjMgbnVsbF0KPj4KZW5kb2JqCjE3NiAwIG9iago8PAovRCBbMjMgMCBSIC9YWVogMTM0Ljc2NSA0NzYuMTUyIG51bGxdCj4+CmVuZG9iagoxNzcgMCBvYmoKPDwKL0QgWzIzIDAgUiAvWFlaIDEzNC43NjUgNDMzLjYwOSBudWxsXQo+PgplbmRvYmoKMTc4IDAgb2JqCjw8Ci9EIFsxNCAwIFIgL1hZWiAyMjQuNyAxNDEuNzggbnVsbF0KPj4KZW5kb2JqCjE3OSAwIG9iago8PAovRCBbMTcgMCBSIC9YWVogMjQzLjUxIDQ5My45NTggbnVsbF0KPj4KZW5kb2JqCjE4MCAwIG9iago8PAovRCBbMTggMCBSIC9YWVogMjE4LjU3IDIxMC43OTkgbnVsbF0KPj4KZW5kb2JqCjE4MSAwIG9iago8PAovRCBbMTkgMCBSIC9YWVogMjM3Ljg0OSA1MjguODM5IG51bGxdCj4+CmVuZG9iagoxODIgMCBvYmoKPDwKL0QgWzIwIDAgUiAvWFlaIDIyOS41ODYgNDc3LjU3MSBudWxsXQo+PgplbmRvYmoKMTgzIDAgb2JqCjw8Ci9EIFsyMSAwIFIgL1hZWiAyMzEuMjA0IDU0MC4zMjcgbnVsbF0KPj4KZW5kb2JqCjE4NCAwIG9iago8PAovRCBbMjEgMCBSIC9YWVogMjM2LjkzNyAzNzcuODYzIG51bGxdCj4+CmVuZG9iagoxODUgMCBvYmoKPDwKL0QgWzIyIDAgUiAvWFlaIDIyNi4xMDMgNTA4LjExMSBudWxsXQo+PgplbmRvYmoKMTg2IDAgb2JqCjw8Ci9EIFsxMSAwIFIgL1hZWiAxMzMuNzY1IDcwNS4wNiBudWxsXQo+PgplbmRvYmoKMTg3IDAgb2JqCjw8Ci9EIFsyMSAwIFIgL1hZWiAxMzMuNzY1IDcwNS4wNiBudWxsXQo+PgplbmRvYmoKMTg4IDAgb2JqCjw8Ci9EIFsyMiAwIFIgL1hZWiAxMzMuNzY1IDcwNS4wNiBudWxsXQo+PgplbmRvYmoKMTg5IDAgb2JqCjw8Ci9EIFsyMyAwIFIgL1hZWiAxMzMuNzY1IDcwNS4wNiBudWxsXQo+PgplbmRvYmoKMTkwIDAgb2JqCjw8Ci9EIFsxMyAwIFIgL1hZWiAxMzMuNzY1IDcwNS4wNiBudWxsXQo+PgplbmRvYmoKMTkxIDAgb2JqCjw8Ci9EIFsxNCAwIFIgL1hZWiAxMzMuNzY1IDcwNS4wNiBudWxsXQo+PgplbmRvYmoKMTkyIDAgb2JqCjw8Ci9EIFsxNSAwIFIgL1hZWiAxMzMuNzY1IDcwNS4wNiBudWxsXQo+PgplbmRvYmoKMTkzIDAgb2JqCjw8Ci9EIFsxNiAwIFIgL1hZWiAxMzMuNzY1IDcwNS4wNiBudWxsXQo+PgplbmRvYmoKMTk0IDAgb2JqCjw8Ci9EIFsxNyAwIFIgL1hZWiAxMzMuNzY1IDcwNS4wNiBudWxsXQo+PgplbmRvYmoKMTk1IDAgb2JqCjw8Ci9EIFsxOCAwIFIgL1hZWiAxMzMuNzY1IDcwNS4wNiBudWxsXQo+PgplbmRvYmoKMTk2IDAgb2JqCjw8Ci9EIFsxOSAwIFIgL1hZWiAxMzMuNzY1IDcwNS4wNiBudWxsXQo+PgplbmRvYmoKMTk3IDAgb2JqCjw8Ci9EIFsyMCAwIFIgL1hZWiAxMzMuNzY1IDcwNS4wNiBudWxsXQo+PgplbmRvYmoKMTk4IDAgb2JqCjw8Ci9EIFsxMSAwIFIgL1hZWiAxMzQuNzY1IDY3Ni4xNjQgbnVsbF0KPj4KZW5kb2JqCjE5OSAwIG9iago8PAovRCBbMjMgMCBSIC9YWVogMTM0Ljc2NSA1NTUuMjEzIG51bGxdCj4+CmVuZG9iagoyMDAgMCBvYmoKPDwKL0QgWzExIDAgUiAvWFlaIDEzNC43NjUgMjk3LjU3MSBudWxsXQo+PgplbmRvYmoKMjAxIDAgb2JqCjw8Ci9EIFsxMyAwIFIgL1hZWiAxMzQuNzY1IDIwMi4yMDQgbnVsbF0KPj4KZW5kb2JqCjIwMiAwIG9iago8PAovRCBbMTUgMCBSIC9YWVogMTM0Ljc2NSA2NzYuMTY0IG51bGxdCj4+CmVuZG9iagoyMDMgMCBvYmoKPDwKL0QgWzE2IDAgUiAvWFlaIDEzNC43NjUgNDg2LjcyNiBudWxsXQo+PgplbmRvYmoKMjA0IDAgb2JqCjw8Ci9EIFsyMiAwIFIgL1hZWiAxMzQuNzY1IDQ3My4yNTggbnVsbF0KPj4KZW5kb2JqCjIwNSAwIG9iago8PAovRCBbMTYgMCBSIC9YWVogMTM0Ljc2NSAzODkuODM0IG51bGxdCj4+CmVuZG9iagoyMDYgMCBvYmoKPDwKL0QgWzE3IDAgUiAvWFlaIDEzNC43NjUgNDU4Ljk5OCBudWxsXQo+PgplbmRvYmoKMjA3IDAgb2JqCjw8Ci9EIFsxOSAwIFIgL1hZWiAxMzQuNzY1IDQ5My4xMDQgbnVsbF0KPj4KZW5kb2JqCjIwOCAwIG9iago8PAovRCBbMTkgMCBSIC9YWVogMTM0Ljc2NSAyOTguMTA3IG51bGxdCj4+CmVuZG9iagoyMDkgMCBvYmoKPDwKL0QgWzIwIDAgUiAvWFlaIDEzNC43NjUgNDAwLjMzMiBudWxsXQo+PgplbmRvYmoKMjEwIDAgb2JqCjw8Ci9EIFsyMCAwIFIgL1hZWiAxMzQuNzY1IDIzMC44MzYgbnVsbF0KPj4KZW5kb2JqCjIxMSAwIG9iago8PAovRCBbMjEgMCBSIC9YWVogMTM0Ljc2NSAzMDEuODg3IG51bGxdCj4+CmVuZG9iagoyMTIgMCBvYmoKPDwKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9Gb250TmFtZSAvUUJOSUtGK0NNQlgxMgovRmxhZ3MgNAovRm9udEJCb3ggWy01MyAtMjUxIDExMzkgNzUwXQovQXNjZW50IDY5NAovQ2FwSGVpZ2h0IDY4NgovRGVzY2VudCAtMTk0Ci9JdGFsaWNBbmdsZSAwCi9TdGVtViAxMDkKL1hIZWlnaHQgNDQ0Ci9Gb250RmlsZSAyNjEgMCBSCj4+CmVuZG9iagoyMTMgMCBvYmoKPDwKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9Gb250TmFtZSAvTkZTVFZLK0NNUjEwCi9GbGFncyA0Ci9Gb250QkJveCBbLTQwIC0yNTAgMTAwOSA3NTBdCi9Bc2NlbnQgNjk0Ci9DYXBIZWlnaHQgNjgzCi9EZXNjZW50IC0xOTQKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDY5Ci9YSGVpZ2h0IDQzMQovRm9udEZpbGUgMjYyIDAgUgo+PgplbmRvYmoKMjE0IDAgb2JqCjw8Ci9UeXBlIC9Gb250RGVzY3JpcHRvcgovRm9udE5hbWUgL05MS1NTUytDTVI3Ci9GbGFncyA0Ci9Gb250QkJveCBbLTI3IC0yNTAgMTEyMiA3NTBdCi9Bc2NlbnQgNjk0Ci9DYXBIZWlnaHQgNjgzCi9EZXNjZW50IC0xOTQKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDc5Ci9YSGVpZ2h0IDQzMQovRm9udEZpbGUgMjYzIDAgUgo+PgplbmRvYmoKMjE1IDAgb2JqCjw8Ci9UeXBlIC9Gb250RGVzY3JpcHRvcgovRm9udE5hbWUgL1VaVkJQUCtDTVI2Ci9GbGFncyA0Ci9Gb250QkJveCBbLTIwIC0yNTAgMTE5MyA3NTBdCi9Bc2NlbnQgNjk0Ci9DYXBIZWlnaHQgNjgzCi9EZXNjZW50IC0xOTQKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDgzCi9YSGVpZ2h0IDQzMQovRm9udEZpbGUgMjY0IDAgUgo+PgplbmRvYmoKMjE2IDAgb2JqCjw8Ci9UeXBlIC9Gb250RGVzY3JpcHRvcgovRm9udE5hbWUgL1lMVklYTStDTVI5Ci9GbGFncyA0Ci9Gb250QkJveCBbLTM5IC0yNTAgMTAzNiA3NTBdCi9Bc2NlbnQgNjk0Ci9DYXBIZWlnaHQgNjgzCi9EZXNjZW50IC0xOTQKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDc0Ci9YSGVpZ2h0IDQzMQovRm9udEZpbGUgMjY1IDAgUgo+PgplbmRvYmoKMjE3IDAgb2JqCjw8Ci9UeXBlIC9Gb250RGVzY3JpcHRvcgovRm9udE5hbWUgL0RSS1dBRCtDTVNZOQovRmxhZ3MgNAovRm9udEJCb3ggWy0yOSAtOTU4IDExNDYgNzc3XQovQXNjZW50IDc1MAovQ2FwSGVpZ2h0IDY4MwovRGVzY2VudCAtMTk0Ci9JdGFsaWNBbmdsZSAtMTQKL1N0ZW1WIDQzCi9YSGVpZ2h0IDQzMQovRm9udEZpbGUgMjY2IDAgUgo+PgplbmRvYmoKMjE4IDAgb2JqCjw8Ci9UeXBlIC9Gb250RGVzY3JpcHRvcgovRm9udE5hbWUgL1hLSUhXSytDTVRUOQovRmxhZ3MgNAovRm9udEJCb3ggWy02IC0yMzMgNTQyIDY5OF0KL0FzY2VudCA2MTEKL0NhcEhlaWdodCA2MTEKL0Rlc2NlbnQgLTIyMgovSXRhbGljQW5nbGUgMAovU3RlbVYgNzQKL1hIZWlnaHQgNDMxCi9Gb250RmlsZSAyNjcgMCBSCj4+CmVuZG9iagoyMTkgMCBvYmoKPDwKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9Gb250TmFtZSAvRkpUSkRBK0NNQlg5Ci9GbGFncyA0Ci9Gb250QkJveCBbLTU4IC0yNTAgMTE5NSA3NTBdCi9Bc2NlbnQgNjk0Ci9DYXBIZWlnaHQgNjg2Ci9EZXNjZW50IC0xOTQKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDExNwovWEhlaWdodCA0NDQKL0ZvbnRGaWxlIDI2OCAwIFIKPj4KZW5kb2JqCjIyMCAwIG9iago8PAovVHlwZSAvRm9udERlc2NyaXB0b3IKL0ZvbnROYW1lIC9GR0ZRVVkrQ01USTEwCi9GbGFncyA0Ci9Gb250QkJveCBbLTM1IC0yNTAgMTEyNCA3NTBdCi9Bc2NlbnQgNjk0Ci9DYXBIZWlnaHQgNjgzCi9EZXNjZW50IC0xOTQKL0l0YWxpY0FuZ2xlIC0xNAovU3RlbVYgNjgKL1hIZWlnaHQgNDMxCi9Gb250RmlsZSAyNjkgMCBSCj4+CmVuZG9iagoyMjEgMCBvYmoKPDwKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9Gb250TmFtZSAvU291cmNlU2Fuc1Byby1SZWd1bGFyCi9GbGFncyA0Ci9Bc2NlbnQgOTUyLjE0ODQ0Ci9EZXNjZW50IC0zODMuNzg5MDYKL1N0ZW1WIDUzLjIyMjY1NgovQ2FwSGVpZ2h0IDY1NS43NjE3MgovSXRhbGljQW5nbGUgMAovRm9udEJCb3ggWy00MC4wMzkwNjMgLTI1MCA4ODMuMzAwNzggODc1XQovRm9udEZpbGUyIDI3MCAwIFIKPj4KZW5kb2JqCjIyMiAwIG9iago8PAovVHlwZSAvRm9udERlc2NyaXB0b3IKL0ZvbnROYW1lIC9NYXJ0ZWwtUmVndWxhcgovRmxhZ3MgNAovQXNjZW50IDEwNDkuODA0NjkKL0Rlc2NlbnQgLTU2MS41MjM0NAovU3RlbVYgNzYuMTcxODc1Ci9DYXBIZWlnaHQgMzcwLjExNzE5Ci9JdGFsaWNBbmdsZSAwCi9Gb250QkJveCBbLTQxLjk5MjE4OCAtMjU4Ljc4OTA2IDExODguOTY0ODQgOTM3Ljk4ODI4XQovRm9udEZpbGUyIDI3MSAwIFIKPj4KZW5kb2JqCjIyMyAwIG9iago8PAovVHlwZSAvRm9udERlc2NyaXB0b3IKL0ZvbnROYW1lIC9Tb3VyY2VTYW5zUHJvLVNlbWlib2xkCi9GbGFncyA0Ci9Bc2NlbnQgOTYyLjg5MDYzCi9EZXNjZW50IC0zNzIuNTU4NTkKL1N0ZW1WIDYxLjAzNTE1NgovQ2FwSGVpZ2h0IDMyMi4yNjU2MwovSXRhbGljQW5nbGUgMAovRm9udEJCb3ggWy00NS44OTg0MzggLTI1MCA4OTkuOTAyMzQgODgzLjc4OTA2XQovRm9udEZpbGUyIDI3MiAwIFIKPj4KZW5kb2JqCjIyNCAwIG9iago8PAovUHJvZHVjZXIgKE1pS1RlWCBHUEwgR2hvc3RzY3JpcHQgOS4yNSkKL0NyZWF0aW9uRGF0ZSAoRDoyMDE4MTIwMTEyMzYwOCswMScwMCcpCi9Nb2REYXRlIChEOjIwMTgxMjAxMTIzNjA4KzAxJzAwJykKL1RpdGxlICgpCi9DcmVhdG9yIChQU2NyaXB0NS5kbGwgVmVyc2lvbiA1LjIuMikKL0F1dGhvciAoU2ltb25lKQo+PgplbmRvYmoKMjI1IDAgb2JqCjw8Ci9UeXBlIC9FeHRHU3RhdGUKL09QTSAxCj4+CmVuZG9iagoyMjYgMCBvYmoKPDwKL1R5cGUgL0ZvbnQKL0VuY29kaW5nIDI3MyAwIFIKL0NoYXJQcm9jcyA8PAovZzQwMCAyNzQgMCBSCi9nNDU1IDI3NSAwIFIKL2cyNTggMjc2IDAgUgovZzI4MiAyNzcgMCBSCi9nMyAyNzggMCBSCi9nMTAwNCAyNzkgMCBSCi9nMTAwNyAyODAgMCBSCj4+Ci9Gb250TWF0cml4IFswLjAxMDYzOCAwIDAgLTAuMDEwNjM4IDAgMF0KL0ZvbnRCQm94IFswIDAgMSAtMV0KL0ZpcnN0Q2hhciAxCi9MYXN0Q2hhciA3Ci9XaWR0aHMgWzQ4IDQ4IDIyIDUwIDQ2IDQzIDM3XQovU3VidHlwZSAvVHlwZTMKPj4KZW5kb2JqCjIyNyAwIG9iago8PAovQmFzZUZvbnQgL1hST1pXVytUVDYwbzAwCi9Gb250RGVzY3JpcHRvciAyODEgMCBSCi9UeXBlIC9Gb250Ci9GaXJzdENoYXIgMQovTGFzdENoYXIgMTYKL1dpZHRocyBbNTMyIDUyNiAzOTAgMzM3IDUyNiA4MDAgNTAwIDM0OCA1MTYgNTI2CjUyNiAyMjcgNTI2IDQ3OSA0NTMgNTc5XQovRW5jb2RpbmcgMjgyIDAgUgovU3VidHlwZSAvVHlwZTEKPj4KZW5kb2JqCjIyOCAwIG9iago8PAovQmFzZUZvbnQgL1NDRFZWTStUVDYxbzAwCi9Gb250RGVzY3JpcHRvciAyODMgMCBSCi9UeXBlIC9Gb250Ci9GaXJzdENoYXIgMQovTGFzdENoYXIgMzUKL1dpZHRocyBbNjQ2IDQ5NiA3MTcgNDI1IDIzMCAyMzAgNTIyIDMzNiA0NzggNTIyCjUyMiAzNDUgNTIyIDIzMCA1NDAgMzg5IDUyMiA1MzEgNTEzIDQ1MQo2MjAgNTMxIDUyMiA0NTEgMzAxIDU3NSA1MjIgNDUxIDQ2OSA3OTYKNDYwIDI0OCA4NTggNjIwIDQzNF0KL0VuY29kaW5nIDI4NCAwIFIKL1N1YnR5cGUgL1R5cGUxCj4+CmVuZG9iagoyMjkgMCBvYmoKPDwKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9Gb250TmFtZSAvSldYRlBMK0NNQlgxMAovRmxhZ3MgNAovRm9udEJCb3ggWy01NiAtMjUwIDExNjQgNzUwXQovQXNjZW50IDY5NAovQ2FwSGVpZ2h0IDY4NgovRGVzY2VudCAtMTk0Ci9JdGFsaWNBbmdsZSAwCi9TdGVtViAxMTQKL1hIZWlnaHQgNDQ0Ci9Gb250RmlsZSAyODUgMCBSCj4+CmVuZG9iagoyMzAgMCBvYmoKPDwKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9Gb250TmFtZSAvSUdPUVlBK0NNVEk5Ci9GbGFncyA0Ci9Gb250QkJveCBbLTM1IC0yNTAgMTE0OCA3NTBdCi9Bc2NlbnQgNjk0Ci9DYXBIZWlnaHQgNjgzCi9EZXNjZW50IC0xOTQKL0l0YWxpY0FuZ2xlIC0xNAovU3RlbVYgNzAKL1hIZWlnaHQgNDMxCi9Gb250RmlsZSAyODYgMCBSCj4+CmVuZG9iagoyMzEgMCBvYmoKPDwKL1Byb2R1Y2VyIChHUEwgR2hvc3RzY3JpcHQgOS4xOSkKL0NyZWF0aW9uRGF0ZSAoRDoyMDE4MTIwMTE5MzU1OCswMScwMCcpCi9Nb2REYXRlIChEOjIwMTgxMjAxMTkzNTU4KzAxJzAwJykKL1RpdGxlICgpCi9DcmVhdG9yIChQU2NyaXB0NS5kbGwgVmVyc2lvbiA1LjIuMikKL0F1dGhvciAoU2ltb25lKQo+PgplbmRvYmoKMjMyIDAgb2JqCjw8Ci9UeXBlIC9FeHRHU3RhdGUKL09QTSAxCj4+CmVuZG9iagoyMzMgMCBvYmoKPDwKL0Jhc2VGb250IC9ZTVhCVUwrVFQxMW8wMAovRm9udERlc2NyaXB0b3IgMjg3IDAgUgovVHlwZSAvRm9udAovRmlyc3RDaGFyIDEKL0xhc3RDaGFyIDIwCi9XaWR0aHMgWzY0NyA0NzkgMzM3IDIzMSA1MjYgNTI2IDIzMSAyMjcgNTc5IDUyNgo1MjYgMzQ4IDQ1MyA2MTYgNDU4IDUyNiAyMzcgNTAwIDQyMSA1MzJdCi9FbmNvZGluZyAyODggMCBSCi9TdWJ0eXBlIC9UeXBlMQo+PgplbmRvYmoKMjM0IDAgb2JqCjw8Ci9CYXNlRm9udCAvSkREWlFWK1RUMTJvMDAKL0ZvbnREZXNjcmlwdG9yIDI4OSAwIFIKL1R5cGUgL0ZvbnQKL0ZpcnN0Q2hhciAxCi9MYXN0Q2hhciA0MAovV2lkdGhzIFs2MTkgNDc4IDMzNiAyMzAgNTIyIDM0NSA0OTYgNDI1IDUyMiA1MjIKNTMxIDUyMiA1NDAgMjMwIDQ1MSAzODkgMjM5IDY0NiAzMDEgNDUxCjUyMiAyMzAgNTc1IDU0MCA0NjAgNzk2IDg1OCA0NjkgNTIyIDQ4NwozODkgNDM0IDQ2MCA0ODcgNTMxIDQ4NyA1MjIgNTA0IDUwNCA2MTldCi9FbmNvZGluZyAyOTAgMCBSCi9TdWJ0eXBlIC9UeXBlMQo+PgplbmRvYmoKMjM1IDAgb2JqCjw8Ci9CYXNlRm9udCAvRkVTWFFRK1RUMTNvMDAKL0ZvbnREZXNjcmlwdG9yIDI5MSAwIFIKL1R5cGUgL0ZvbnQKL0ZpcnN0Q2hhciAxCi9MYXN0Q2hhciAxNwovV2lkdGhzIFs1MzIgNTI1IDc5OCA1MjUgNTI1IDIzMSA0MjAgNDc3IDMzNiAyMjQKNzE0IDUyNSA1MjUgMzkyIDUyNSAyMzggNDk4XQovRW5jb2RpbmcgMjkyIDAgUgovU3VidHlwZSAvVHlwZTEKPj4KZW5kb2JqCjIzNiAwIG9iago8PAovUHJvZHVjZXIgKE1pS1RlWCBHUEwgR2hvc3RzY3JpcHQgOS4yNSkKL0NyZWF0aW9uRGF0ZSAoRDoyMDE4MTEzMDE4NDkyOSswMScwMCcpCi9Nb2REYXRlIChEOjIwMTgxMTMwMTg0OTI5KzAxJzAwJykKL1RpdGxlICgpCi9DcmVhdG9yIChQU2NyaXB0NS5kbGwgVmVyc2lvbiA1LjIuMikKL0F1dGhvciAoU2ltb25lKQo+PgplbmRvYmoKMjM3IDAgb2JqCjw8Ci9UeXBlIC9FeHRHU3RhdGUKL09QTSAxCj4+CmVuZG9iagoyMzggMCBvYmoKPDwKL0Jhc2VGb250IC9GWktDTk4rVFQ0M28wMAovRm9udERlc2NyaXB0b3IgMjkzIDAgUgovVHlwZSAvRm9udAovRmlyc3RDaGFyIDEKL0xhc3RDaGFyIDE3Ci9XaWR0aHMgWzYxNiA0NzkgMzM3IDIyNyA0NTggNTI2IDUyNiAyMzcgNTAwIDQyMQo1MzIgNTI2IDUyNiAzNDggMjMxIDUxNiA2NjRdCi9FbmNvZGluZyAyOTQgMCBSCi9TdWJ0eXBlIC9UeXBlMQo+PgplbmRvYmoKMjM5IDAgb2JqCjw8Ci9CYXNlRm9udCAvQ0NNWFNaK1RUNDRvMDAKL0ZvbnREZXNjcmlwdG9yIDI5NSAwIFIKL1R5cGUgL0ZvbnQKL0ZpcnN0Q2hhciAxCi9MYXN0Q2hhciAzOAovV2lkdGhzIFs1NzUgMzg5IDQ1MSAyMzAgNjIwIDUxMyA2NjQgNTIyIDQ5NiAzMzYKNDc4IDIzMCAyMzAgNTQwIDM0NSA0NTEgNTIyIDUzMSA0MjUgNTIyCjQ2OSA1MjIgNTIyIDUzMSA1MjIgMzAxIDc5NiA0NTEgNTEzIDcxNwo1MTMgNjQ2IDUyMiA0MzQgNDYwIDIzOSAyNDggMjQ4XQovRW5jb2RpbmcgMjk2IDAgUgovU3VidHlwZSAvVHlwZTEKPj4KZW5kb2JqCjI0MCAwIG9iago8PAovUHJvZHVjZXIgKE1pS1RlWCBHUEwgR2hvc3RzY3JpcHQgOS4yNSkKL0NyZWF0aW9uRGF0ZSAoRDoyMDE4MTEzMDE5MDk1NiswMScwMCcpCi9Nb2REYXRlIChEOjIwMTgxMTMwMTkwOTU2KzAxJzAwJykKL1RpdGxlICgpCi9DcmVhdG9yIChQU2NyaXB0NS5kbGwgVmVyc2lvbiA1LjIuMikKL0F1dGhvciAoU2ltb25lKQo+PgplbmRvYmoKMjQxIDAgb2JqCjw8Ci9UeXBlIC9FeHRHU3RhdGUKL09QTSAxCj4+CmVuZG9iagoyNDIgMCBvYmoKPDwKL0Jhc2VGb250IC9IVUpIVFcrVFQ0NW8wMAovRm9udERlc2NyaXB0b3IgMjk3IDAgUgovVHlwZSAvRm9udAovRmlyc3RDaGFyIDEKL0xhc3RDaGFyIDE1Ci9XaWR0aHMgWzYxNiA0NzkgMzM3IDIyNyA0NTggNTI3IDUyNyAyMzcgNTAwIDQyMQo1MzIgNTI3IDUyNyAzNDggMjMyXQovRW5jb2RpbmcgMjk4IDAgUgovU3VidHlwZSAvVHlwZTEKPj4KZW5kb2JqCjI0MyAwIG9iago8PAovQmFzZUZvbnQgL1VMQUNZSytUVDQ2bzAwCi9Gb250RGVzY3JpcHRvciAyOTkgMCBSCi9UeXBlIC9Gb250Ci9GaXJzdENoYXIgMQovTGFzdENoYXIgMjgKL1dpZHRocyBbNTc1IDQyNSA0OTYgMzg5IDIzMCAzNDUgNTIyIDUyMiAzMzYgNTMxCjUzMSA3OTYgNTIyIDIzMCA0NzggNjIwIDUyMiA0ODcgMjMwIDUyMgo1NDAgMzAxIDQ1MSA1MjIgNDYwIDIzOSA0MjUgNTQwXQovRW5jb2RpbmcgMzAwIDAgUgovU3VidHlwZSAvVHlwZTEKPj4KZW5kb2JqCjI0NCAwIG9iago8PAovUHJvZHVjZXIgKE1pS1RlWCBHUEwgR2hvc3RzY3JpcHQgOS4yNSkKL0NyZWF0aW9uRGF0ZSAoRDoyMDE4MTIwMTExNDMyMiswMScwMCcpCi9Nb2REYXRlIChEOjIwMTgxMjAxMTE0MzIyKzAxJzAwJykKL1RpdGxlICgpCi9DcmVhdG9yIChQU2NyaXB0NS5kbGwgVmVyc2lvbiA1LjIuMikKL0F1dGhvciAoU2ltb25lKQo+PgplbmRvYmoKMjQ1IDAgb2JqCjw8Ci9UeXBlIC9FeHRHU3RhdGUKL09QTSAxCj4+CmVuZG9iagoyNDYgMCBvYmoKPDwKL0Jhc2VGb250IC9NQ0VGRlgrVFQ1NG8wMAovRm9udERlc2NyaXB0b3IgMzAxIDAgUgovVHlwZSAvRm9udAovRmlyc3RDaGFyIDEKL0xhc3RDaGFyIDIxCi9XaWR0aHMgWzYxNiA0NzkgMzM3IDIyNyA0NTggNTI2IDUyNiAyMzcgNTAwIDQyMQo1MzIgNTI2IDUyNiAzNDggMjMyIDQ5MCA1MjYgMjMyIDUyNiA1MTYKNDUzXQovRW5jb2RpbmcgMzAyIDAgUgovU3VidHlwZSAvVHlwZTEKPj4KZW5kb2JqCjI0NyAwIG9iago8PAovQmFzZUZvbnQgL1JYWFNWVytUVDU1bzAwCi9Gb250RGVzY3JpcHRvciAzMDMgMCBSCi9UeXBlIC9Gb250Ci9GaXJzdENoYXIgMQovTGFzdENoYXIgMjgKL1dpZHRocyBbNTEzIDUzMSAzNDUgMzM2IDQ3OCA1MjIgMjMwIDIzMCA0NTEgMjMwCjQ5NiA1MjIgNTIyIDM4OSA1NDAgNDUxIDUyMiAzMDEgNTIyIDYyMAo0NjAgMjM5IDQyNSA1MjIgNDg3IDc5NiA0MjUgNTQwXQovRW5jb2RpbmcgMzA0IDAgUgovU3VidHlwZSAvVHlwZTEKPj4KZW5kb2JqCjI0OCAwIG9iago8PAovUHJvZHVjZXIgKE1pS1RlWCBHUEwgR2hvc3RzY3JpcHQgOS4yNSkKL0NyZWF0aW9uRGF0ZSAoRDoyMDE4MTIwMTIwMzk1MSswMScwMCcpCi9Nb2REYXRlIChEOjIwMTgxMjAxMjAzOTUxKzAxJzAwJykKL1RpdGxlICgpCi9DcmVhdG9yIChQU2NyaXB0NS5kbGwgVmVyc2lvbiA1LjIuMikKL0F1dGhvciAoU2ltb25lKQo+PgplbmRvYmoKMjQ5IDAgb2JqCjw8Ci9UeXBlIC9FeHRHU3RhdGUKL09QTSAxCj4+CmVuZG9iagoyNTAgMCBvYmoKPDwKL0Jhc2VGb250IC9PSlpBSksrVFQxNW8wMAovRm9udERlc2NyaXB0b3IgMzA1IDAgUgovVHlwZSAvRm9udAovRmlyc3RDaGFyIDEKL0xhc3RDaGFyIDMxCi9XaWR0aHMgWzg5NCAyMzAgMzM2IDUyMiA1MjIgMzQ1IDQ3OCA3MTcgMjMwIDQ5Ngo1MjIgNTIyIDM4OSA1MzEgNTMxIDc5NiA1MjIgNDI1IDU0MCAzMDEKMjMwIDQ1MSA0NjAgNTIyIDQ2OSA0NTEgNDUxIDI0OCA1NDAgNTEzCjUyMl0KL0VuY29kaW5nIDMwNiAwIFIKL1N1YnR5cGUgL1R5cGUxCj4+CmVuZG9iagoyNTEgMCBvYmoKPDwKL0Jhc2VGb250IC9KVEdWU1IrVFQxNG8wMAovRm9udERlc2NyaXB0b3IgMzA3IDAgUgovVHlwZSAvRm9udAovRmlyc3RDaGFyIDEKL0xhc3RDaGFyIDE1Ci9XaWR0aHMgWzYxNiA0NzkgMzM3IDIyNyA0NTggNTI2IDUyNiAyMzcgNTAwIDQyMQo1MzIgNTI2IDUyNiAzNDggMjMyXQovRW5jb2RpbmcgMzA4IDAgUgovU3VidHlwZSAvVHlwZTEKPj4KZW5kb2JqCjI1MiAwIG9iago8PAovUHJvZHVjZXIgKE1pS1RlWCBHUEwgR2hvc3RzY3JpcHQgOS4yNSkKL0NyZWF0aW9uRGF0ZSAoRDoyMDE4MTIwMTEyMjgxMyswMScwMCcpCi9Nb2REYXRlIChEOjIwMTgxMjAxMTIyODEzKzAxJzAwJykKL1RpdGxlICgpCi9DcmVhdG9yIChQU2NyaXB0NS5kbGwgVmVyc2lvbiA1LjIuMikKL0F1dGhvciAoU2ltb25lKQo+PgplbmRvYmoKMjUzIDAgb2JqCjw8Ci9UeXBlIC9FeHRHU3RhdGUKL09QTSAxCj4+CmVuZG9iagoyNTQgMCBvYmoKPDwKL0Jhc2VGb250IC9GS0tLQ0orVFQ1OW8wMAovRm9udERlc2NyaXB0b3IgMzA5IDAgUgovVHlwZSAvRm9udAovRmlyc3RDaGFyIDEKL0xhc3RDaGFyIDE1Ci9XaWR0aHMgWzYxNiA0NzkgMzM3IDIyNyA0NTggNTI3IDUyNyAyMzcgNDk1IDQyMQo1MzIgNTI3IDUyNyAzNDggMjMyXQovRW5jb2RpbmcgMzEwIDAgUgovU3VidHlwZSAvVHlwZTEKPj4KZW5kb2JqCjI1NSAwIG9iago8PAovQmFzZUZvbnQgL0dOT0xYSytUVDVBbzAwCi9Gb250RGVzY3JpcHRvciAzMTEgMCBSCi9UeXBlIC9Gb250Ci9GaXJzdENoYXIgMQovTGFzdENoYXIgMjYKL1dpZHRocyBbNTQwIDQ5NiA0MjUgMzM2IDIzMCAzMDEgNDUxIDIzMCAzNDUgNTIyCjUyMiAzODkgNTMxIDUzMSA3OTYgNTIyIDQ3OCA1MjIgMjMwIDUyMgo0MjUgNTIyIDQ1MSA1MTMgNjIwIDU0MF0KL0VuY29kaW5nIDMxMiAwIFIKL1N1YnR5cGUgL1R5cGUxCj4+CmVuZG9iagoyNTYgMCBvYmoKPDwKL1Byb2R1Y2VyIChNaUtUZVggR1BMIEdob3N0c2NyaXB0IDkuMjUpCi9DcmVhdGlvbkRhdGUgKEQ6MjAxODEyMDExMTU3NTErMDEnMDAnKQovTW9kRGF0ZSAoRDoyMDE4MTIwMTExNTc1MSswMScwMCcpCi9UaXRsZSAoKQovQ3JlYXRvciAoUFNjcmlwdDUuZGxsIFZlcnNpb24gNS4yLjIpCi9BdXRob3IgKFNpbW9uZSkKPj4KZW5kb2JqCjI1NyAwIG9iago8PAovVHlwZSAvRXh0R1N0YXRlCi9PUE0gMQo+PgplbmRvYmoKMjU4IDAgb2JqCjw8Ci9CYXNlRm9udCAvVFRYS0RQK1RUNThvMDAKL0ZvbnREZXNjcmlwdG9yIDMxMyAwIFIKL1R5cGUgL0ZvbnQKL0ZpcnN0Q2hhciAxCi9MYXN0Q2hhciAxNwovV2lkdGhzIFs1MzcgNTI4IDgwMSA1MjggNTI4IDIzMiA0MjQgNDgwIDMzNiAyMjQKNzEyIDUyOCA2MTcgMzkyIDUyOCAyNDAgNDk3XQovRW5jb2RpbmcgMzE0IDAgUgovU3VidHlwZSAvVHlwZTEKPj4KZW5kb2JqCjI1OSAwIG9iago8PAovQmFzZUZvbnQgL0ZWT0lJRCtUVDU2bzAwCi9Gb250RGVzY3JpcHRvciAzMTUgMCBSCi9UeXBlIC9Gb250Ci9GaXJzdENoYXIgMQovTGFzdENoYXIgMTUKL1dpZHRocyBbNjE2IDQ3OSAzMzcgMjI3IDQ1OCA1MjYgNTI2IDIzNyA1MDAgNDIxCjUzMiA1MjYgNTI2IDM0OCAyMzJdCi9FbmNvZGluZyAzMTYgMCBSCi9TdWJ0eXBlIC9UeXBlMQo+PgplbmRvYmoKMjYwIDAgb2JqCjw8Ci9CYXNlRm9udCAvSFBNVUREK1RUNTdvMDAKL0ZvbnREZXNjcmlwdG9yIDMxNyAwIFIKL1R5cGUgL0ZvbnQKL0ZpcnN0Q2hhciAxCi9MYXN0Q2hhciAzNAovV2lkdGhzIFs1NDAgNDk2IDUyMiA1MjIgMzg5IDMzNiAyMzAgNTMxIDUyMiAzMDEKMzQ1IDQ2OSA1MjIgNTMxIDUyMiA0MjUgNDUxIDIzMCA0NTEgNTIyCjQ3OCAyMzAgNDI1IDQ4NyA3OTYgNDYwIDI0OCA0MzQgNTIyIDcxNwo0NTEgNTEzIDYyMCA1NDBdCi9FbmNvZGluZyAzMTggMCBSCi9TdWJ0eXBlIC9UeXBlMQo+PgplbmRvYmoKMjYxIDAgb2JqCjw8Ci9MZW5ndGggMTQyMDEKL0xlbmd0aDEgMTkzOQovTGVuZ3RoMiAxMzAxMQovTGVuZ3RoMyAwCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeNqNtQVUG9oWLQpFi7tLsBaKBHd3Lw7FAwQIEtzdtUCxYi1W3Iu7FXeHIsWhxd3hceSennv/H+O9wRghc+lce8+1Q0elos4sZmZnApa2gzozs7Gw8gMklMR12NgBrKwcLKys7Ch0dBoQZxvwf+wodFpgRyeIHZT/XxESjmCQ87NNEuT8HKhkBwXIu9gA2DgAbNz8bDz8rKwAdlZWvv8E2jnyAyRBrhAzgBILQN4OCnZCoZOws/dwhFhYOj/3+c9XAL0pA4CNj4+H6c90gJgt2BFiCoIClEDOlmDb546mIBuAup0pBOzs8V8l6AUtnZ3t+YFANzc3FpCtE4udo4UwAxPADeJsCVADO4EdXcFmgD9GBiiDbMF/j8aCQgfQsIQ4/eVQtzN3dgM5ggHPBhuIKRjq9JziAjUDOwKeuwPU5RQBb+3B0L+CFf8KYAL8fTgANha2f8r9nf1HIQj0z2SQqamdrT0I6gGBWgDMITZgwFtpRRZnd2cmAAhq9kcgyMbJ7jkf5AqC2IBMngP+pA4CSIupAkDPE/49n5OpI8Te2YnFCWLzx4zAP8o8H7MU1EzCztYWDHV2QvmDnyTEEWz6fO4ewL8v1xpq5wb1+g8yh0DNzP8Yw8zFHqgJhTi4gOUk/455NqH8tlmAnQFcrKysPNx8ALADAOxuagn8o4GGhz34TyfbH+bnGXy87O3sAebPY4B9IObg538oXk4gVzDA2dEF7OP1b8d/IxQ2NoAZxNQZYAK2gEBRfld/NoPN/8LP9+8IcQfosT7Ljw3A+sffP98MnhVmZge18fgd/ucVA1XFleUUpBn/Hvkfp7i4nTvAi5mLA8DMzsUGYGPj4APwcLECfP67jgoI8jcP1t+5clBzOwDfX3Sfz+k/lF3/1gD93wvCAPjvWsp2z8oFA+h/C12flYvV9PmD7f9Z7n+m/P+p/I8q/1eh/y8jaRcbmz/99H8F/H/8IFuIjcffEc/KdXF+3gIlu+ddgP5vqDb4r9UVt7Mx+1+fnDPoeRfEoBY2/xwjxEka4g42U4E4m1r+JZe/7Jp/LJoNBApWsXOC/PG0AJjZWFn/x/e8XabWz8+H07Mm/3SBn5fnv1tKQU3tzP7YMnYubgDI0RHkgcL6LCV2Li6AF9vzOpqB3f9UMQDIArVzfk4BPA/nAzC3c0T540a5uQBAsT9MfyFuAFD8N+IBACV+I14AUPIfxMMGAMr8RhwAoNxv9Jyn9Bs95yn/g3hZAUCV34gdAFT7jTgBQI3f6LmK9j+I7xmBfiM+AND0H/THuQHN/gWfuYH/BZ+bmP8Dn/cAaA5x/e3n+sNt5+L4r4TnEIt/wWdalv9AzucDs/Swt3x+GH9HPNsg/4LPXK3/BZ8PwOZf8Jm77W/I9sz9X6WeHweg3e9mz7HPPx//cj+Ttf8XfKb2L+Jszzyc/gWfb9P595zPlZ0tHcH/mvy5tbOb3b8Snom7/As+E3f9F3wm4/Ybsj/X8/gT/pcgTV0cHZ+f5T+fjGe1/gf/+RsABruDTVEWZu1MBYKtvga3XFeKkboxb40KTdFtaacwMHstOLa63GIgJTFUZAT+cLwUSxrowlrakKK/EP1O+eC111iDFNaUoNp8531v9EFtYqsZZX6coHfsy55YdQ/5SzJmDdFt7wcHb60Aa7hG2HZ5uiwHF14MlRzca7dvMu7VPcWLw6GzW6rbFdwKqPfFk8zvNaP1Awqm6bJNPs0QUSM6M5Mjv8E5dsecvricwskce6KU/8CI4rP/niPPS3eVPeZmxnO5VIPdqYOYlliXiBzuAmd44pWX+G6yPOGcV2F+rHxoVL45ueFsvXArJsiBs4qqfUGweGhsbYjop1GARDHmxkRorKnqOp34wE8b9cw2Ipysap6CyQc2o1wUJ9W2nQcCz6iy6QzHIJFea+cDFfaw1O54G4rgC3oRxLbdsN3kOe554pzeHj7fydc18U9+oh/m2U2ynfU6vUDu6AdtL3iuT3zGxmSgyJ/1zjXeHQhrjMOQDdCABtksqTIFEI0PPmv395bjPFkLw5IWvZ94oWA1XPVDvt0T46lb+fOeaZDId0PB7RtRtBercw4aWy7B82bFeuCJmDQrfvlOKPyQwl0kDbt6TqVe4l7PJ3ETHJHhUiXYQLvgrzwVhSDQl+SInNckDWEW5wVXKuT8ozUTRZPhqD/NKsTN4r0n5IrHD0NkDd3ClTDLS8bANJKSR2yfSji0E3I7IliGx8/a5VkIuOfKp8kFUzSIlQb2qWuFgx2J6IlLlQP78D8no60H0aQL1+tadV5a5gzUMqZoPrpVPJ1soNzX0MZtdo+v669pK7NI5NFrTeofKW9vk2W1djVwYGMgTIuJnNoYYTl1FimFqtRfFaO2xXiYq3sUrs22m6xij3Qb87mQ28f0Xqqs98dVKrs4zjIoCrlYFsXMBE72S44uZDd1qkxHGRb4ENU3UCJ0dEyjbDIXjnpqvhlZpOAo3fG93JDNcyMM8txS5X8xM4DUTIkxuzbCkjiBb+reVEyQ60r0sZiEPi0QR1BXMJJ7Po1LYXE6rRp2itHzHlumNZsVlqHDz/FdaUIk/1wF3oBpDiyBOHpRNo+c1kzAA8LsVpb2U2O6mgF6bQbfNwRd3XRyW29TQrvgsKq4gIFAOX3bUGWYUF9oauKvrQO0yyxiVn3iB3NFtHRH+PlZ+KSWgLffnnyRvy+PHMSkl3VgwsIJwAbTD77+vk0Z8LHTvCoI/R6YZ6r9MUgype+BuJAXNmjwVq2XXh+zMLhpFDcH/tvCZHvaPa39MW4C1Tg1+dIZX3W0GkCIR/fUpyhjKc6Acc8THEKkhaSXOviSBNG2lrntzY+NjlXOfDzahUQtSV3miuTO8tRp7e8Kyfa1FWiHOQ112b4aLld5x7Nv96rZ8D+UUt0EkPmC0l/xcH4J2kGI/rk02d6DxCTUxDhUrCVNaLrN0cNROUTcx2vdg2q5b4RwgGjTjL8jBkWO+wFK26oNrL9U7uhDn27nP84u0EulHck04x+HmOLPplo9SNwpsW8aD3M5livGnvHnEm1Wf+m/XS1rG/FdfTTNwplTMn5ZuBqBS2XOZySs8qvCB1n6S9FlmTDC/HYKblJdCtIWMmdCCzmvJ/iFJjKjPNEBwg2xNTYxmqAwk6xvuWFJP6ymcIUvNs6KLwM8H2GyTCYznlEw49h0GOJH9uuWONs0yPbN6Cc2GMeqpKL98x5h3ZLD4RWRsZgR3nUVXVjb3ThEGluwpMr5RFphOHcT6YfEG758VyFLqQ4jHfpej7hQ5esUJHo+koIdQjOuWcGcFR3OYoRmLlyq2GM0HYl0xEopCvnLmJK2eiz9+WkDnWw8oqZkipry9PsFmzcN08Ok/O/IapmFyewHeC6TGhSb7mr65nU/90n4VvfZXNxclEbiNJulsn0Z4QcG3AIsqJjw+lBal3zeZ2OojjIeI/FxaHkB2pJU39vM7smU19ato/PAUAlQvoD1cGBc2y45QZ+Ur0nyE9tDQHy57XplBXQcn/meEaRLroLFwFlpPsv41l7HKNzZF8CVrBerpksraJklseKW0kp5csepIoab6GZp0u4ne8MBkfIJDqzVw8yz3fe8SlLDv6Yln7qH05PK4vTCDflm76kG1L75icH8sjmgEGQkh7Bdm2BrmVAMNj993dLgv6PnkF5fgMzyaVaC1YVMM+eKfL/1VfHWIpPYxEs3ZmpGzmralTzhycYvKUI05WBRhTfaL1qkIiqc4Y0GmOVbE/tQTchHc8Nyz3TNYo+LLMOS475GxX4Tdlc+KMpZsd+IdYLL/9Qoo+i/8DbPUvgsc8ru/fnUXlbhJ5IOmO/yAsfyjPq2KKOUZPLEd9xEg13WxLgxs7YBfNSIymgAY8nJTr3WY8CuJbeblximqaDQSrmrT/owpgqMRN4P5Mk3kd5OYnMf980VehnPy9ioAsreFySoQ2++9Gz40rz3M8J+E2pA/rlWH3JMhX8jPwLJGHQYSrGVByhUA8xbs8I93qjfwGL4XEZAZLS43UD1sIRrtLZfQ10FsTx1VUkNFWd2WJV/qTmkXVItvuEZcFF82zIqZOI34nt4b7Qs//JBIlBORJDrJA8BVQPN06mg5sDHRdE4WWnev7iNmuezQtsUKtzh1U7z6WboMq/HW0CU1+lp3BfvLFdjBoouFslQMjKO7IXtJAXaJGK83N2XqS0AJg6/r2nJk8tO3Z8kCZtXp9SeIhLyujTQ6/yHTauQStj3PwTRBdx7SOor1WCr88nOH6u+b5n55Gh+LlNgeK/PxRWWRLOx4IqvF/JurIYBf4dAYVM9z5CsxhfamFqmRKJzx8T7KpcHhN5rRvv4cTkJ1dAZqI0TMO8x1u7X/o2oAPmslLNBVcGLYUFoBCZEW7LFTLjZjgT867tuuv1CEgkkmBmMKaoSr/hkEutdekljj0DN3a7wHkORUkVn6IenCUZ+pm6o6eSVz1PAAQMdoeK8gvlbdszl8oD1VQC98nSNZlwFcw34qdXRLzP61AVNraTRI1rD2oZAuOn16lfZgym0Fb6JQOZEhpv2O5cqlA4XRjybGrOLTc7anw2eRaaKTmEJBNca8oh6/AilrqMk9yHb0SLaEcrXUUr4b5rQK5URIEeHiuZn5tLTwAIR1FyY4UQ7rNFhI9AIVdYS+rr4L2eDC89A/VbCdITSlUQ1YKoj55e93T0CpdvCZIIZmPQ5aTe//iMw1+sYg1O/Gt0OlREK+37YmLm5unzHCpF+lThQ8ADmqGLCa2Y40h6UMVN87OKopSsOGZ88DVjinddp37NjoR00/YbCL2Ins2ZfZzGnN8D7r/gvSV+3uSm91YirkHSSTxlSJW2que0M8kJ6eRfQqrHSVn/OXq5F/KFc2enHZMzdKaZfG5140HfL6NNFWrI5prUz4cztMJIzu58KH79Ty34aq8CYxswCNJSwj4pjFWqO8LyWr6KvO2om70ufOC0zZVORW45bu2KxyVKdhrUakKazyixUqUFhO2z2NGEfKK/S9l9RYrRVqA9u7O0zZ6JeAnL45n6rELi7TObJAfJ0lgkN2THvqNH5R26vQpPJ5MXryESh27BP3GKsP7ssO/DUpPkqMzVm0bzi6HNepRzT/giJ8+MfOrdsJ7l6uohVerLq2EEqzESbJ92ni5N+QagV/PQ9XGa937U+EFHEWJ1/dY9fHmyv1jtcN4B57bfOl14CE501tCz47koP2v+xruy8b+VFzB4y3tRq29psEO8v2tt2Gmow8rgQzow1OSr5ifmKeXB2cmx05hBqOU5RYA2aihupVC1fwcUYrXJz8HfBnIfCp3BqKx2EZh0nuAclR5L5X1IVNfufZhTvqXep9t+YEzGmU8FqikV8GBt8gcYkwoHTseHOk3zCTUPa/gSiOosUCt+g6ce9e0AdSBpwySOMMslpACb8kGmvXqIByKpc6RfpG5usbczQXjoKtTGMiMQB80mu+GIE0+1wxTWxfu0t8JSzZHEVbRCJ122oyQFSq/P4QNREWlS4G6/I3bHZLLYL9kodUqyThJJD96OZAbpsLaHvK1qWZfWOytM2pUFwTequopO5kJ91bjuTHjQPZmlPL7qGjkKx6JwGf/im68OBbyKupwzoY46+o/BvnYLYm76ITOAuLXmFZG1tyGTOfkYW/crfm21TetvjBNrm3V1ok2ma1Io0bz6Xx27JXmrbyxuWgxU0bjyMYRY5vDAQYD7bI0CU8VGnpQB5o12t2aHN1Vm7vD5yS8d6qPjoEQAj/SsleMW+u4adAq8x4ZuP3JuVGkJxiTFhD5G0t0YDsAgtnB9x7vnXk6pMpHaytAyC2eomtY5vTJiCqMMU7KRZzUziQCRN+8RPw5kr5pwyhsOl1vH0XjvdI/xLKMiptY8rBsxg+fp5E5KkIdOAGRH8qsz7YcuBKydGnNEcv8jbXqNap/TPvepfCT/tkjOBnAs9ILBVJxPDjo+NdDWn0hzE9xZYeZl5K1GvcpR85hcL+zkyJa37LY3f62c6upgJ/zgRuII0ipEatR1G4KPYSRtNpJpaXyinT0ddU0KNc25d5/BnGNjTkhZT4zdpaQ7QuW8mvB6PkO9LdtbL6/SlXS8097XJUdv9bQ5R6NwR9CxqprEOQqy4ffNwJFCn8Zeo4+MNrW0kvh55YDYt0ZE9UjKM00HrtGekM94CYfCUsFI9yvwG8KZ3fM90HVoPir5TQuRyQgJo8zMlhjTS37gHFfcY3BXvJDOcU0IyYWGdOXXTk7Vgpg1styICtKZgPnx/e5cQ4F9+0cJgAQN5bEQ5pWN+Ia/Zm6VnXqmhwzMNZCEJMQ0jiApA1oQPZ7qy5DniVcrhHPtF9tJzl49/Y7h6zerR1tH1Il3lPIYGXTg+C9nE3/20ecPoqjl/SLG74VsmqkdJaHFCUOX5GBfmhJoo0Mt8T1XixKfEbLADuX/u0nd+w7H6J1UFHGfzQ+ZE3EVztLlKrl39gX+70hSj4WumFIxDbiPgoraX5fzIwNEAMGIi7dew1U61us/k44F8mCfqhFNo5EzdZuTarBXhy8KVal/PdEUvBzF9GLVJS1qGKH5PZXV5xWUPMivDz98S++LJa2HjeskoGCY1xn3HFXThxPBvVVgRYgMR5VUIfOmFffnWX3Xnrbh2rhs+USMHIbQxtIbpcO2QClnCKU8GgpSx5r8W0b1nQ1ifdUVkW7JwFdnx5+Su5gmQvfxAsEf1eFarfP7QaZWz/paTvLAVb6HNZPlp60vje1jnbOlTj9Pt6q2Lk1dHXmduqnqMupHy8TkODSiMjWuiqEcbtlCmH1ZKUClzOTRb1EI1GfIKTfiymncYFbxdadfKIYSFuU+fFLAi+UkNvn0RpyruIVQW8ZfHjzzaeT0nxnJp3eElqNLf9VFkixZokrNBZ6pWExC6Bm2hgn8TtHGals2Hh8cbSbmkjOlipPHpVxpbHRrlq8M3COAvyoavClzkvC9ughmfZlmLaqlR+VFh48wI1ZGOy0q6uMs13S7eUkvN3fmRjx+f7glJx3YL9lJmYU7oUYe4s+LBYG88oKZe6Hp5Bb7vPl+hZAkmQjvgHep7Xaf7sqZzxAhEZ2GG7tvsF2eysaugPV2yp5nlGXoKe5kTNaj8KTTnkkkOMA4+hLzceWEjXHe/U7ZmupEb2oHACLQRz5rwxYPzDLli3s5CbVNGyNDGx9U2bXaMHcf9GRJBGC3i16XFZOYPq08rkF/qTKah1kGHp8TbKbnv1zCumOn0zitCsoaGE/U6SNILVKRvJVBPC83DMhvMfD0yoiCFlvzaPmELDTRFcblkJIFNCMs2a4aBcT94D5KSwljipG7PF9T7NVDqg8Djz0M335S6428NZJers454XVbgBmciOCyehHPp3Sfwbv0Danm7TYe013wxE/5lxnYeHwruaybhIJs9slxdBwfRSmOCCCI8iajKQyYMbuLv3qeaxLtf9dj7iryuG4a3tr3OjarJIp/FbfOpRa+D/iJlSap0IyQu41WNAhULq/NPhtK8OCzz44uZ6TOeJMQYmwlompLblo5gBqr3AHr7dXbD8YobETtN8yC/99B4C/dK9hyn7E1l3rS144mvXDCMVEye7fn0SZprWUSFCVOXXpp7cWDAWj/WuxDR+pRVRzJFwvqO17eUHEP8xnliPBKxvjqMRtspbWo0MptiWt+cDSIlV8zQ22qoXs6y+q+/CXD5gbDoeW6ySVgZmFJJulfi+G7iIP+rcmRlZh3d2QSxBTLMaT+Jps4ry5Fw7rj5t207Z7er09qj7FWG34mu42AxPGUqDu4BEOWsydGShwcP81Yj9SfqBeE7FgvjSxJxbpkdlIf+PfEkivt+M53DuFq8i5hGHSkfmKqMg5CQbbA2TrPRbqaNjWoRLvcDIsSuMDggXlqwOo6EYzr1XhfucXldmY5gRRXR0G2UaDkoqtsr/ZVUWTR/jrUQADPiJ+lJGpl4YVW9nHdeEkqm78z39ApzhSKItXseIPbQs9O2tgGAOsVxu1Dta3tgjaKWy5znV7/h2CxbteeU/D3i+71uwVZpMQu8wWOnAWGOIFUdviXDMKDbO91cTxa/2GYplGMxYFDvR5hnL0YPEIBYcBT07qGgOZlp12wiTP+sndvufcpBxfR8x24jiVQXL4zMjB7WJC6GeU2Bh6g/j45eFhpWFCzSTzMc7dfczfJihXcyF/LAI1RaXwnyGKqadZ8s9A1/eCWFalSxel3+yyzitk70Dx/sfPCGy6VVs1f4o9SjCRLqVSzVkQhGt7+7Nj6kaeZCqmF5S4i+H9VwGxheJR7LDXe3lCYEuWCGvElTE+z8cbpeR33EzwK35zuaeo38quwudKFW42UijCKpMl+1jK8QI2i0FZQNvJ0LbaavQXlCaYcbnHpy5Cu2bBjr3yZfz4W2TtKhKvgKLg25p6y7eICUaU5UTQl5x6E3tMl6RvmBXWVNj26hEZp6nUpmOwd7qm2pjyvmNRFI47Vu/MvLNEMYrwx2lZoE0t/Uc3+4uF83VOqa9LiTMWu8UCQr4Kb6SkehsGK/+oEpbQNq30lAoeirLcno7TRopi3DXf7Vgw3JpAQPSYcTQUEm7yvNt0OeiR2OGWZHAiysD5zUUPRRsWT5swUcUsSkNUp8ARZf2FhJhRnYoSW7QN38cYFcNxP3s5Y9giCq++AubaBtUtdgey/pR6nVFjbnIwI8CUJXAxSOKKWZY0ZD7qv5sSvLzz1tVDXqfnKrihoN+YSBt+wegcyWyLhIxdMVLNXw4QYm5a6OAq1rXBHnVetNnrFxpE0/325m1DbaYrWM73FkOtAzviVnRy08jw5OnTtn2Es3wLuLcEJPjuJKgYfFZFA0sQlIUzLUs8Fv8B+JD+kGbRK0wVMi5n7zAW4v6hAiDbjd2GwAqcUjyn0QUOkT69RdnbeTTnsMtcRsi3dBW3TlRwYVjczMBsoh/XizR3Vx6Np89hbdBraKWa8eSmsOYPImlWuJyPi53AgsKHLirwpjs4cNzTbeJPbsFO+z8nS98fUXI7F3k8fIZfNZqnzxZjMUjZtUAh9psQbjK6ZaxKdvh2ajS+8ug81/OXxNBllwBv4IlIYueH95oeYfa7UP4aWvCm9oUElP8/ZOjIFCseSR0ckDj1oMQbKiwbD8V6mxruajK6vFxhKiwsd41Ooda+IkWSewTfRKSGk+iPNz6xhotD82W9gVJUzh1o1ghSgdBGlvvR4+i904eHwqm8hvs5UjvsIfiPiAyhDKfHobUN17xEOO8yt8bRkGVbVEPkBz06vdteeQawoaLiyTGf81htr7y3RnjPv1ulErhG6JQFJAZIPeYU9A1UGmfHGgTsO0iOBUSuYdER0iS3D7O8oKOO6NoLhpp26HO0q++zRo9X3tguoJRldetXUkJZpNWVEjwhmt1T7a9dMpQa1CS2Ugc/imTepLJMUoSI78Mc2OuCaPiLxeLOHoIxBtp1fFuSgzqbQn8sAi+B1W8+jXL8XvCOhT59piqd+S11bLig6yX7+lUCxmUvYMr1AvWL9RY90Khwy+p/rlyPwUF4tg6xa+2IqVQ3LZ8LE3IFEuHQORKWqzYGbKUbRf06wfdCSATIJ8KEQUetCKJBiauqW4caWz3h8sL8uz92CqHLfaIL5B39Q3pyuYVxD9xpjEdQQSCss4bI9f862tU2ETrnvvKEmioC4en91AjdmV/73pOx4H2ynR9LxYHZaWE3PjL7c9XIj1+LZenhlhbJqUpREKsM7l8zsXKx57MFQuDOlhtAqfUUbUvPcoxieatyWOEoJ8Mg5Lu4rxfGQ1xE2OXn/hkNqzwEXOi/CW33Qq9MNfzxtDq5D0JL1JLd3lTijMGRo8aQ3dSZEj+7TKIjvzIJjM/xDZbsjm6kpnpSZwSn+Y9zEW59aqgHBDCp/Y/70fS3P2VYz6Y8wVGAnWnnAo9pwXvIiIEOIWf5maCl1FQ/ApV/74muEqirP6tBtZ2U8U+tNQrzzI+MreDygfr4FVWrlW3zGx6Ltwr8jOGXndbEBw64sIDF3USB7W+whwQrqR1hLeHfBSaiSVDTR3yUqOxFm5MfEM3/wlMS90WHn/gYkXngvRvFt41uXgXQ+61MuKgTwe+opz8cqWfhv9h4SBCdqtW/4zymI7pmbqgyT9PEmPHzh0M1Lmhzw5LdgPK2kylnyqosR1HGtOb/ltp8n6ZJialq7rfJzYQbGEcmtfJ8mI1MMi3Q8vomsTb78mPTLzrH0AwRd2NhHbrSiSUxlyVb2AsnUKK7+/5wyJjDR+mtF1W+UGcGLTBxvzAXbWNfsujqVxYzX4mTJ62ocYA9TbaJTbOiCvuZM8XHRh+PM/XBrjOex2LMJ0VhAHL8eXcVH6zvuMJGzkdCIpxMR/oJ1yG9ocBt8NDvBpud8Z+mpUJ2d+5dsYoeN0q/yYeovTlVxdB0dY+OnxxDBLUTrajA5k2ZgdkDhB7/bVvrVaOUnpJNRcGgMOsAzyGHTez0nxrFNFseRQZ/wWMWkk7caOxZiwvF/WWa5Y+cDL8sq16yMV+m7iTcLsUGJA0uf9ZLyvDExFcKVT5mUa7cJAezNVM4y5Q15Zlv0r2vULBqQild7oAUWFGdouWTqiiM07nuhQE6Q0cQeAfobWibY8F4sUe8I6sEL2hl0uhkJmhh+Avo+yaxyg3xvfVxDIaf4zEo0lDAZ9rjCC5mT28sOiJYRGPw2qEBFWXPCxRLRs09gV/jomDQfhkmP5u8xO6Ca8Ul1zCoT++DjyqAJlirqX2CfWeoRpDo7yTfymWZbC/lZv52YlF++mGYWCqEpLecqtCG8Iys5FHU4icgk2cwScTn85yiqbjt6WvUOXuKnAuZfvZnwG3S/sts0++HtDB2fmIIVfjxJrU3nLSk3v+1HuyYlUvrk6XRmackGsN1SvytBz2p3Mts+cqhJ7wxeN3zSKsjvtRPWiGLBAGxyGqSCEivAfFRHVr0rwgSo+267O2j4Btw08vcd9vep7jeJn91VfapGE4P1ve9+lLDUKkanGpkei3/S0vupBklJ/l5dFEJKB5pTDSWcY9NFiMZ5XDq8/P89wBi//C1OEBlvyHbeP2DaPgqkGneu7i52E8uGXgvpzcJhdq136WH3CJgj7fBp+2Metxb6X91EUhva5jq4J5IL03idaXBnxKBRJHFc5Sa2tnqIQuY1eee3L6A/xwWulUAz0dfegqXkGfAp3MhAB7BUs6OUFW7i2Eel0E5AFNl2ta5zNxSO2HVGFe4Tmgz/1p8cvY5rYnarXZtieUuVH1gUcThFyt9s6bxFg0z0Zckgjod1TWHKO7bWO+U9hi7nUhwfYGE2GMRlBzYIluW6VBFfeGhoGG81UuS+3+pIpS8JHdn5Jniqj9w9Pb8XkCJt7gNqXFzSPqiU7YdFDjuTUdLbweZbqJgsDhQczzn68HER958D4uqNC5/2SpPK3UVkK+jlkRdyFrX0x10hX7gGy2JTl6ie5L6/zwl5wbkwy0r75pL8+glLB9VZ4ufOrkZzjGmxkZUHDG6LgGprdm54QWv4cKse59DtWO5qWWWVli3dETOsvMFvBvIBFopXwnjIODj2+J3Z6HF6dj3Vd21fIGRSOQR7bDWso8LKYVAdVSmd7FZ9UI84bfnD9ZHwFcEGyh++zs+dMjtaXJ20ltMD5zOLBdR6zcLb8hmihaBAFoLkt2dVR+hCxWc7rO3JEIdI37NQjNvJK123ksZBdYJi25jSkR6Wouhtc5rjau3HL3Xei09dQg9FFBh4fqxKdndxsInGqjEpjGRSRKOPcn3j6GZDzObW39XslBp87Ef/AnMDGfgBU9iRuNL4xhw2lOPYxL3Xn7lsvQxUorXohIdE4S6QNP6pCSlTGR2RcZkw/aEJh3huOslcm8ewdZHKluhLd7SAYeYPV8+oQ+W4GfXTzw86v4NBbbUfZNWIxxbvW79ixY9YS3I9+HVeXgWiuVyFK5oftl+r4JVmT+LvGcEOPmDcljJwuoua0JHivBl9JDWZJ2j7A5vCPoMCW+3yQBmR5Hi/+1I60/FCeqTWlC1DoX4QZxH//+Wrh+PtGU/93gpR6TZUNfOlubFtbaxI5Z2GyaAYcT4YXtfZJEHK9zq9HxMGwrGRWFkWs1n6p+YjOUhMGsoaHVQoTTeZ0GQMZxnIy5hU9l0H4nOToOjUspcMLbF0ENchmq0sGK3XihIJeAW71AGlloxYVM2vYsSluYczdSqJk0UopvrntxM0MIygSj3ZMFMoZCSvnj7iYGF6JBQQjMXFXK6o2C0wVvLUeOXNSn0PGGnk4FqXGSJ97Udjan6fZ+6LbPBKGHYxLYw9aqo5MId14/L8gp9w8KRB5QlkJgooXiblFvb6WnPzUk3sCeQtQSxOOwlj5anavFg8EHocKnkCzk4mzawhF1CKXtpVR+A9MWNbTPl0Z/wMMh5oWRyoOnqUGSVJ9mKaHHp5UnyG8UqH5qFTmD70u7CgHHPtL3lcBzcCQatZxLaNYwaYn0rn76XtPbot6Ja84Rt3FL91Lca15GGIGNY8CW2Omblc5E8TyPDIC7y1FPGuH5oHcUSUIp8UuyNIzEYuL8lO3M/RrQigdqkemAaxtrj1cXGQPK9qTLgbXP49jUCgPHq/VabUHL+yPzi6O9LQ5Mw9NCqm9Fm6oD3vxXzP74zb49tGkXt61tu+LF3N3wfnGr4XPZKicN2FkAcSGHi1bI0YyjagZVpqmyz8MU2rPLLhL81XGnLMGYNHqDdxdWavRYF7WavtftQhqnOth7dHluxEnah4eUq6YQjCqHkFelvbWJxl8H7Rl46slAq7GO6PgtJTrSOqle+jfFqGPMalssB8DWSDkSn6or0PJSrRvPpdhPXZ5P3W8ybHWnl26u8gA3mEeWegXBPPoeHeJmbwUMqC34bfHFkc+j4FPZBjpNVNE3P8wAYI0pERTfT/ldo+gHkNUB+WCQ/akR5JoMVyOXJQEFTt/+g0YKfd81DkotwvwkjIU4r8/Kj5F7MT1yJhjylKo0eem4VwZlPXsXuugXHvjV3+8HaORyjLVB+0/wiVGGS/J5axxjgxreTuJ5dayTL5dDJcudVjCXBfKcFqF7/yaHEeducKQjyhtGTUycELW3hEZkTuKCNt9Qw6DD7JrlV+Pi3+N+W330zZ7im0AD2+Fn7bFHUmHp3abJ5Z+DPT+IBcxz9hz90fHrvMjOifuze0ufD6m53ieq1SpmP3Xmtbk+fphlE6U91Q8KkKSawbX4G2IqJ9Bl9AAb19kkDoT9Rg9R7JeKIvsUIBIXReZJVJDy8r+bt2hhLjri5P5Gt6VpimfxnR6Q9+VLP2tOgoeElkz7PEfDNetrLCWRi9O2dyc1dAcofCaBKY4w5F1OuwHuONZt1Qf5X66hot0w9ZNyN+5S1V0qmZZNiUFRGQd1D11KoW3lzpLRb6YmLr2zqiTZzsu6eEmH3JYfMlhUndVI50I9K5Y3sJPkUS2KNWmVHioim314H4rtfz5cea4tN0fVq14RTvepk02ACdNDldFgItENcwDQGPnJFOJXehn7zti8UV57sVhpGQmXPE7ZTaYRnlP6Ft+y1dbLTWsSwCvQKq7+CWa8U6ofMw1Wx+qP25OK/LC6gLZ3Vsr+yyVvYtvccTKWIMrgEu247RRcaBZFx4/m2k8sw9/udRW+dWPi62iV86CE3zMxu5ww5+JbGYGdHLseDAEXV3vvQGPGcGB27j53jNpDfPhOKqXvvlk2V1bG6QfBROVkHTRtEkH4mZVpnmC6MicBDmz2y6MqpFw+4qHtx7bFvOj9jbf/HJYhbPo5kgftZ4VyUgsCdXsyICFldSkvKNp5PyEkiRU5IEVWdmSO2dzUa8V57jDj4L5ji5G0TXS3Jjn8y7jNfHZtJpMfII0j3D+gJDUBElPrs6ny9SaM9KNsljKqS+KTa1YGxH6fI3GnRqMpM0R+ncmrDvjfcrwECtlZ0XTpSn3qldfiwMey6Tw6kTKFN/hyb28uGxmnZzHacwpzHXov1pyzbL86pkjkten2oKLPAqDLi2OkNmGG1rXGb7CGimAtEtEmYARYx1N+l0XS2EMWdKpXhNwUZfK/8qd2mTHF8OC2O6kY3yIZh3fNd9cddxOfbMyiBAm4YQvsZjQzDjcfbfCbVt+GYRMnvkOvvQqSeuinteAPZjGUvkcBsV+INJibC/PcDXsWKMgAmJfNAPPc9MVAhtsUtnmQD9vhPDozdLExZXXz4j1Ft7n8KVA5UvlKksbSXT12vZP0NBI9RqRHgph240yJt3EUnY0Jf35DvWTM/3ju97Jwk9ITPf5izQWNCDSwd3gI3pqE75f43FJWPdWqeyIWGjSmcvR94oStvcvTD+1kWAswkGn7vniMK0zSvhj9WemME90jvp90YvxlD27M1oif4TgHrpUyMYddb5HTH/ZKkWm+WHXYMtIU0LR3OxXWsLwxmJKndGBaqzJNFwcoulJEyC5wyfdqJRkPyKZZWwUn+F0l1CzqBwfzsWT0gVDihOSzIFb0BXAmB9TD2xGaq0aHtF7jYcuT/LBYrSxbjn3qcnuaw62/HSIm3yXbxlzBfTrmp1L9hmpr0Q1qtgVqSzkXBGkoiXM2x+wDzr8KgjsW3ETP3PUiIjd2FR+vIvd+QwWcatxJyAjaKKQyalhnUn6VVW4HUZ4ILQ6CNkhZNT1ylQyXdZ5PQwnzBrMdjl3Q/oxNQ3FDJDTOXV4u3VDbfKrmJZnoAfLAk6ayH/lOLtuPLKRhaYZ0jnIFGYqOSV5saHSEGduhdr2MruTlJmlm63IRQbENskRZMl8JGIu43KdDJDfhIRoxfvVMeLDBMIy2tgP7dQZcbEQuBAHNhYsvJmw7QsisjNvQennjJ1WTq7ErTZK72nCLlv2PCNPfpGrw4LOJdvgyJMnrCyyu+7KR7odU20FoQqwTf0oSn5JTFPx/VuqWIL3NP5pkJAYl4JcN6jheiw8yup4ez6neCyW2OlAISp0Dj5gLA53SPiFlU2ceFYiFFxjgDiCqL97rUD6HrOSSG+pC6wX5e+Pz4RTiFn7eQ9mIfsoVHVzU9TMATESxpCi/ETNluipUC9JBj0NWLggJxAiMDg8FW7Kd2x1+UmevTMAiRtYRV8nEcB4XAtYzXsRtXhTxMmtaXU8xB2PWr7MXG+9RW9qLs1cbHSpcpogvET3g5amnIB4oKeYDIVFLelFUFIZfUfyZbzERXBNy1uUmo6PT2GnftsX5tzn9dgyg3QRNRArQ5/MQAZNnBEu2H4xLLV1XHMCYVYxMSstD0EBwoKRrgaCs/1ohJIOPvwRWR/oANm2sV7Y5yclJZv7j+zSwcfrOSrtP+KTfjDIFQdTj4iScLtxMGDl8x4xB+B236AyjXWLTMDLRhpr1U7NHIg2ff7ZkU2iscXYMWK1v/t+aYf1ihwk5oxMIUxmKdUh+Y4WzDZ+qy4sawAL02ewyI/36KSJKGSIqcX67iaJJo6WyZNQUZ+FBe1tRVLNbNDVV/eA9egx0g4G8RZMze/GEkulAaNKg323u4LDj1i8+/afj30iadJ7wMRVQJWtGBLH9Z8kGoBWN/MtbpyHTnMbe0MPHpXU0f2Birgcq2b2oC7cahtpsyO2ZNherIBJ3bD5TpkNZR6lFRfMxl7HzRchHzOkLKv88fLJAyg47CsCCCmqfMY6vFhL8Xhgkxa+mUYD3KvsgUljW3JzBuHXNCtJ/s4qkpqY5WMVmmaWFpNwGskNDBIrTyElrXfpVZ9o6VRVxu+Jf1DT7p6JTPkexFVUE7IMcwN+0iIGCq+aZN6lvAG1+2pfbTCtul/IiWIdRqlGr6OuU3SEzfpET3JlS0n2fKC1HeBMLtfoE9E5Yb86wXlkQRaZIG+FYyAWxPt1th+JjSJJZfyzfFbyU87PqezU5jOL4eaZZoBtYGjjTNkqy9vgQhR1bu8K9e02Xq0v3jea0K+bgkH327ay9rZxl6q+cODUxfynj5pSUftPlbOv3q9rNNYuzZiTBItqXlZyil7l2TTvnKUSGuyMRzS8JI1AImVXy/zcScdfNk6NYra3y5kfYSb4fWBRvkNCx9+aneAn5inBSS4I0eHLK2YageEr565cexm0W+EfLsqoNMy8WfsaG/7SdCo5ziSKHqHwPhNIkU0uX2/xu2SK8r/igA9rgXdJ7+0/fyMkl7Ehi55n+BJZzpydsu+3KwBW3bSa2sR/wbjxNQPDO8Hu9Vz5TFvPVQYkR1J184kJlrtjg8P0ABbhkJ/LNReNzEGoH/2gzoXiOEX+O8jcZwALQ7fsrNnshMGfgJyZW6hgUAAm1lzHGH69u4tUZurlBe2qLcnj7l4u4jbLxiXUXxa59WkD1qledqk9zG3LfjGF43xQz51itQwsfOZUxrRZR4PkjoiZ6b4gYBxqPipXhRNVu8gPWYARFqQw2SzliymVDVgc4bIZ8la47lJn4oEtZeA8vWTE03YQ7SZiNsSOT6t7nNnB/YniX+QugUz+LhyePLwU2VZQuwba4bMlcFeEGrv7LbVwJGfV8ospu1bSep7S58dj1VmmUuPyfdQ3qlbjN7dHsQ/ReEj83SRWmsa9X4ebyC1G0XYTMR50SdatrwkVmcc/K/W2jjedr3YCc2HTmABBU8VdglG8ofse72hGu9ht/dY3uFy4f2BxvK6ykEgE297U8cPn9nwx1IkLmHKZD6Cjp19umLTq1HMmd2RNrajaGFhg2KmvhdhmDGYQFiC4YQteIClPS31eD1V0OzGDxR/PLk89yJ3Rs0ZES3vN8mOgp6NpMHpqGH56ErMklILiTWLd/ZDPcUSV3bg1hPgN1Y6okPNFwa1511w9UzusQ2P/TF4zqy2gjovtkYyO7xiB5E4a+E5F+iOZyYZb9N75a1U7SYVUDpBNeZRYOG/8Lee3joYA0TFHl9dOMnEJFWyxtfHb035x96eN5+2v9uY02ivd9Wt6zQgcFhObjPP4h50ShWJygwTWHV5Legsvvd9dV33JFfk2/upBzaRncAx4bf0h+ii/WcNHZfzIONG5CXJUdwBj7KSZS+tvqnyIrJWIIuEh7v7jrqK7NLi3fmY42QEX9abZSACMIt1ys/T2W+DYN/KD1BdnUxu9lz6uiDYqyQchz/s56kb1rucjIKRCmPejzQBQaLK4sWTSbrqHmDe4yDrbCFE+O3ttvQMFly5esreF3wJt64XNGp+jb2Mx3uBa+5nUD023FJKBVVLl/KuEsnGOlz4MSB1xQPcckfm9HpMMqGV5Yv/dBo4OX/fN3FL3KFbp98U9mhIaQdeFjzuI6PmHgSwMFCyDNv1YB4yEfKImc7UMNwkdLUJZuSBt9ZOQHkspw7grYHTHpDWFKpesItncIVyFXBcugoblQVOWLHRG7ueF9GzsmTXnxPWidFZVg71AwI4LcdyMhFFvQVcjqUVSRlaqNTbRqYBMBfsRDTVFN0Zotm+7mMKH1bvaKp5x/SvRcxgWyahgpU6l8gQbMes1oeg6xQAitsZXNA6dryIGLU2K7VQeYtsyqw034quaeYFhWuaoE/Hs+3gnTdjee9/eZipsLR1VKUbbYKNN6XetcUAN0zexxXhFnevcpoSMGukn4gzg+BFXwfMccg57DEv0xmzrgePVg4xXSkvXlC/luZa9pohJM21lnF9o+Ci6vWZ+WKjbP//87VO8v1R/9Wa6tZ9wf/I0nUhxHeiSHGJcsuNgPTCXwS1WMUvoJpQoZ4FdcofDndL0SVJw4ITxmH5Iwy/LC+VAKtrZmsKsN1w2tIJ7Rq05MCmbN0fYxnSSUzmf5hwqADsZgCxIE5AeZSmd9dFwAZ6jQ4RHIGL3JQ/8R8U2Tp4GGkHk2Oo+6PtlTzW606sNK+hYaKzqUe4JaqfOACiSzDGQ7BwNfuqA5UC0vEdhsIEIND8DK3eVf7/I9LCRnIbH4ZJJZiAOpAoHoSqqF3PXJoGLNbBbgOVccHhTgeejqVLFb2NBdsMr9TKyx2F1iTWbnl9ZhpGVWZmoTYj4wL0W+tZDuzM5vgi/MKUTuI6ECFrZslVf4jsnT0v/gJ5bJQZkVlvP2pIG7Y98pG6WjnWpp21XaNLbrRuHdL3nlu86KHkBPhzpzf/GTF5+yu6Ry8xBUOfUIL2ma77JXLuKstTYkYjVUaoBq8S+sn7VEggnlic1xpYURuA6F+z9UqGB+xNwQS6wlLlicXjfSKcVcenogtB6rS7QcA8bpVIALcIawUsMdNc/LRXvHtWWS5NOPaOmeURxTM2H0znIuetrv8NpVatok9CZtJTqOLwF7uGSmBvwKK7qjBLOl3Y5i3jPLopdvVj/82iChvcbv2sCYryE7U8CTzwSWvfxK6lad3rHhWqrMXbN76jD36jlpIm8IAkSpqgC2yO3LPwglxuuiFcuY93Ib3hEEd3BJDrcbOZZvsQKRbxzIcZkSVbKfgnJxhH0lleyOaR6FMmuV8tlGPI2VzlExBhGjqMqQEp1r00By96L7wcTyKN8QLMvXv3KAauapAHct+PukexyxkD+/MBZaenJGWS5a4PsLU5dDv+x7uMfS4EuR+VTea9FvXmW8ih128N3KDOQVd+xq42hTg6HIWhxVX7YvxdNoRMt1nVRonhxKilTMdG1sgNxNWr5/MmxofukbgA4sW7k9IPuVJcqGGMbxkdM1S+jjpq37tCF1yWti1+kYC6wGTJWN+DDDiMtmI4ffGXjnPqCjr+Bz4DhoGwVN5ptdBgucY6AVarADmCFX8ajrek2KKw9pMpEhzSiYbfly3orbmZi/nlaUUnf3uVXkUGtljrNifysbIHGQwI+5ftGmTVXFRvC4UyEcE7BuknUt3HevouqZ+MjCYOXJZhhHOcjFlgKDAfU7bVd2l4m3nrYt8U+WkJVFU+kCpqfpQCxLaHnTLg9McteVjVkBQwHFjSQoCiEvrReGZeuJFprHNq1+gyp/ttj2RYhOmYepNhAQbKj8KKg+/l32VZaMHrJiiq/bHTsWxURhdNOB8Yg8YgoCtlM2xKHm/H/B5U1pdENCmVuZHN0cmVhbQplbmRvYmoKMjYyIDAgb2JqCjw8Ci9MZW5ndGggMjI3MzIKL0xlbmd0aDEgMjQ4MgovTGVuZ3RoMiAyMTMwMwovTGVuZ3RoMyAwCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeNqM9wVQXNvaBYoiCRrcvXEIwV2Ca3B3p3Eaa9zdITiE4E7w4O4WNLhrkOAQ3G7vvc85yf7fq7q3uope47Px2ZyroSZXUmUUMbM3AUrag8CMrEwsfAAxeRVWFgALCzsTCwsbEjW1mhXYFvgfMRK1BtDJ2coexPeHgZgT0BgMkYkbgyF28vYgwAcXWwArO4CVi4+Vm4+FBcDGwsL7X0N7Jz6AuLGrlRlAngnwwR4EdEaiFrN38HCysrAEQ2j++wigM6UHsPLycr/72x0gYgd0sjI1BgHkjcGWQDsIo6mxLUDV3tQKCPb4Vwg6AUsw2IGPmdnNzY3J2M6Zyd7JQpD+HcDNCmwJUAE6A51cgWaAvwoGKBjbAf+pjAmJGqBmaeX8j1zV3hzsZuwEBEAEtlamQJAzxMMFZAZ0AkDIAaoycgBFByDoH2O5fwzeAf7TGwArE+v/wv3H+69AVqC/nY1NTe3tHIxBHlYgC4C5lS0QoCgpxwR2B78DGIPM/jI0tnW2h/gbuxpb2RqbQAz+ztwYICmiDDCGFPif8pxNnawcwM5Mzla2f5XI/FcYSJclQGZi9nZ2QBDYGemv/MStnICmkLZ7MP8zWRuQvRvI6z/A3ApkZv5XEWYuDszqICtHF6CM+H9MICKk3zILIBjAycLCws3LDgA6AoDuppbMf4VX83AA/q1k/UsMqcDHy8HeAWAOKQLoY2UOhHwheTkbuwIBYCcXoI/Xn4p/IyRWVoCZlSkYYAK0sAIh/Y4OEQPN/8GQ4TtZuQN0WSC7xwpg+evzvyd9yHqZ2YNsPX6b/z1fZgVJVTUNWYZ/Kv6fTlTU3h3gxcjBAmBk42QBsP61ZNyQB59/h1EytvpPGn/4yoDM7QG8/2QLadN/M3b9zwLQ/edw0AP+HUvBHrK1QADd7yXXY+FkMYX8Yf3/vOp/u/z/2/C/ovy/Lfn/TUjSxdb2bzXd3/r/H7WxnZWtx38MIEvrAoYcAHl7yDEA/V9TTeA/h1YeaGblYvd/tTJgY8hBEAFZ2P6vjVbOklbuQDMlK7Cp5T/b8o9c/a9TZmsFAirZO1v9da0AGCGj+T86yNEytYFcHc6QlfxbBYScnH9TSoBM7c3+OmJsnFwAYycnYw8kyJAhiBPgxQo5i2ZA97+XGMDMBLIHQ1wAkPJ8AOb2Tkh/TZSLE8As8pfoH8QFYBb9jbgBzGK/EQ+AWfw34gUwS/wPcbMAmCV/I1YAs9RvxAZglv6N2AHMMr8RhE/uN4Lwyf9GED6F3wjCp/g/xAPhU/qNIHzKvxGET+U3gvCp/kYcAGa13whSu/pvBGHX/B/ihSDj3wiSi8lvBOEzcTI2tQFC3hjm4N9y9v/J/9n6/ykgyZv+D3FCgpna20Im/l8JB8dfEju734R/rQKz2R8QQgn8HQHSNuC/GFhZIFWb/4YQc/M/4F9Kq9/u7H9B19/xWP8S2P7W/2Vu7+L0R3SIgcUfEJKv5e/sIW209HCwBIL+sIDIrP6AkISt/4CQ5tr8ASENsf0DQrpl90cpkE78jswJcQVBTsYfekit9r+TgTjb/0sNKcbhtxoSzAHywgP9a3AcrP+R/nts7BAuB6AT5MX2hynX3zIr+z+G81f7HH97QTJwdLGHXCH/nhArpGl/tJQV0iHn32VBnJyBdlb/3gvOv2yArn80lhMSxBnyYvhfOpAUnW2NnS3/CAzJ8Dct5MZlBls6Af9YHkgLwG72fzhAYrj8ASHTcP0DQjJz+2OTIN7uf0BIeI8/IKTZnr+Tg0TyBDr9Q/WvW8vUxQnSbfDf7xXIlfZf/PevBCDQHWiKtDhnb8ofbF0b3HZbLULkxvhj/P009Q/NNHpGr0Wndpd7VPhk+qrPgetO1yLJwz3oK9sSdFfCS2RPXofNdfBhLYnKrQ/ej4bxKlM/WpEWJnEHJgoORb72kyASM6oJ73o/OXprBNjANkN3fqDOcXThQVXKw7p165Ny/9pftjwaOvdDebeKSxb5sew7Y4x6tF5A8Qx1rknmLD4FHJiRBOEt5pk72szV9TRm9sQL2Yd4BiSfoxj2Qi+dDbbYu1nP1XI1NucuAioCHXwS2CvM0SkaL9H9lA94814lhSsDC+7NAoVk2SjvUlcY0Zn22TKqrFSiQI29Na6jix2sOznJgGBaogGsncSa0kZsQycKRZyqVsMoLHANuw2QZL/DXHS17Vqj29w6lXiJ9/vXF8AMirbloX9Tt9dDnePq8MgA401oasvtcOPIdrePZrFQvxCxhRvrWwlL3ciVZb4MktTXZeAxmC5NoAw2+rsl12Sex9fGIQJegeei94SsWwUsLDo8r3uhR4lPOHO8z2N9KurPFDo2ZjDmbd0w9YNegrgUXkw6U8/OCggs2SWMPofS5WZIdEfkrsXRKvPXAutngsqYzzYqcJnESz3I5BK2OBfOB6kKOWSken/MVw5H6gV6WN/x5jOdaFSot37kzFcm3zmKYhzbrw8YEg0K6eO9Ntvfuv7yRdQA58Be4+6swi1cdDh2U407ODeiQ8U/u8tZMV1KJAqm6GZ7thfRhPJYTdSV3K4xDk1T7f399lhX0aPbuzIZcWrawkX5ftkDgTDvRf0F8cJegmp/YdyIq0Z/ttp2xVs6qDef0VdjqT/vLsNSGrYPN2qcPxOKEqmq3eZRem5A9c5/H9sm/za1TeVlW6FXzNHXBODnjE6HtY2nIZ/f9v90uf6eLjry2TyyaU3dTaRuibgmY2YAuH40NPpKlBK+nZ0FW3D8SBpQUEr7eU2ukAH7ZS4xy3rLM1P4niyu6X2ls17tGvaVQMiX93pd2tBU6+JC4eo/ESd3H7mSs7+7S+Uqgwa/EH2KJNixqqKeS8oin59CkmODwqvRzfqE8Wu70I+ePNo8RCsQwXQfIwoBaltglhZ7qDYu5VwFS4ldIpc8mJGvBoMWY+N5UgT1A1oV0+vFvlqxD+NQH8BlUDS9XtxwH7lqkCgDNCZ7J7sOZ+ekZ4kSL6OYS0dQJect3CgkOZPi3M5Vw6m8q14C7JUFxvfGU5GRp4x8GwQySVlZSr0R0l8EWg/sTusa7xY+rw1bnq3lBK9XHPgj1NdXV2cIDRMYCV1ypxziIhuO5rzWTe645HFXEuBgnSW5fA+euJWGWkJD4edKb27ycZJ1YT1gf/ikLgb12uoTbp00uKJ2atrn2gOfdO7Z15SUWm/d8dRfr6Vll0ORw5VcN8PwRqYlr/r0a9UjzsCuaRQhyzrJlwv5D3fy2dos5aNxrl5c6/hJc3q3vQAYp2zH4U8U7ATvb2CTMtW+a8syrcji/xym736HJzUi62UcLqYjKpXVjkRK4rFMhxopSxvay6bIMq2RWsklo0RFZftwcF/exJiIt6HbhX84AxwbjrodJEQgkB2dp2GjtkgyqfIMu/kwSpD+zsXeV76crQ/fc80lIT0nbIbr7afWt0Uo/T0oX6ZeeDvHS9aF+vJlk3BN6fG/Tdxs6p1ZZIMraIRKt2Mn+n49gODUDt3aE3fbqHLMFPTEmjIKxpcUr+cmhAs12dzJ9nkcyeXMvlduE9kf+u6wajBHD4m+F675dX9MzpLQrZ1r73lHdXw3eTPoT91X0Tk1jOO2ubbJpm9f1rsOqDR8EpKx/Ibmsp8ranciCYfHV8+KirCQYoZQOuTBdRPYtbQGIJFEKQnGlwNxql640ZQyHk5XV2VJed6W8P7Efz9Em7BDN/rUJvNoqXBfN+e1o4gJQE1jhZVzNZ21w3ltVV/URTNEIX/0065PuFFzNrQCv6DCbsWEmmUx7fXbe6NPh/B9uYnriczmV72Ztu3UShJsuXykGiL0qqJyzLsCZbgnnFhlYlki+es3mbb8lV7fupDpKFsWtF6DJOESKBCioNKggnm8VBbsEzC6+9Tw6HYMNc9gTESe/WS97eWRDbHmplM1MdafiePbUTx25PdfuPy/5NQYtN8Yg7PIEIQVWQ9zmTOhJM/JkhrYPUgp07dN0eTl5yel+nWeVnVh7cpfWjwnoiX94BAxbcvuvlD0fBCsBL5a0BCN0xQl9tnToP/4akV1aNmK4F3uacBa8akKJm4TbmF7q2TMIGxZu1Im03673Kspf/fbV0X4hrrjWhrhGHiDl7+Uc6pQ1JRerlyDcu6QgCPvEhyelwiDnPwsE++bEl1wzz8GRxsx2HoRItwAlW/mPhoKm+NxsRNKrysZu055EqiP4RhWZ49hD+h8YSV9W7YzGINZFSfPMGji4B/K77VaNooYUKHMjruvocG/kNs2Fj6NioJZqcikmLVh9a6Nh+fLHGnQUW9oiEX2e733G8IUkhv3spK3arkmD2nxHRoBsbZ0thaV3ZlLJt8rYlbJm/bLZlNmv+ltPt0Zcyiz4lWP+gK+8G45ahQ2FY8WAhKcDWyO85zNYjNAqJ7x3QjwFfl7BXxzxHJZngT6sRhnZU7IkYV5ZUGuCuIdUfJS3LxUMnJWzzSJIgsWRJsgWy4P6LAPiHGSivUXArKIPw6VxgoUY0VE8EdcQxP91r7b5tHs1d9q/5ivo10ch9JcmvwRRNOVxxIgC3gmwPnEbIVotfjdBdEki7BHDIlnsM9TRLpwNpsdGsmD6UI3x715axXMKuJSUZb5xkFkgkmXI191gc3ELYnBFAAuLThRABLiWxKLj9auIvdTpJOT+u584WfgdtArcHMnwNTekkIyWOWUqBxb2U/EwSTONlxpTpGqv9k8O/CnIxV5Y9uINXXCarTC48J06cJwsr1IcX8pyH/2zs9zuG6KGsm+tWo9xx12iCXNORBjbogAU5NV0n3iZGY/dR1g8WwXH1PvruFxVb+EMZVJoU/p6YufWuzgetGNkkkSGp9+vdBfwuQkyhtBhQNq0harEGO97wOXmQlT3pTwQE3aKITNRMlWQ+dM8+d3/ZxJtA2QvKeDQ16IVriMLILm39gsNHsu73k4hk6oQH9cf9sWKTBQlJu83Y8VjFUG69xVxCtQLxWHIiZhFKJxkGe50T7cR42jnDguWWiv1N63NYUR5EdV9rGdYoqdve1GiXee90gnxpk3DJrWaLuCFOXIaUnzjk8hqfBoyHn6ajCpkUwYzjzozWcDEs3VEBo2DjfMUltP5F2qGTbNU6xat9WQgSNFXpOX/B8UikXZWCNjmr1vJTH1V5mLjDzKopVrEMOHk/SUk3uIJN+WrVip4Z7H7BsoAK7NDPPljYIKQlWp1b4qtMhyx1UhMKikzx3pOhVmPA5pX/VjHWs7An3aahaI3xRG3Sxohynd/0Ial4RWl8g7unyOPpuWDeqaRZOOpq2tF4TWURYeR5NZ3ABT5++8pHzu0i2h5+6j6XjMsRwHZb6pITjQpp1ZNu5pUOs9p9Vy8ptZT2cGGYKSYT/I5eIiI9ClCCPV7uV8m/yEVFGvQOIlK1m/vnxmYJNhstYD+umLe2wkV5Wvj7BsXKCeC93c7/UYjum6dSq3vtKym8eR+Is1jcoPy8lO5OXEORm7Z+DyAqSzDvs2vfV96c2I89WZfQa2ibBXvMccMgK5mBhZlBeeKQKTpp9Ow9Ep6S4LHgh5w8QhxMJZKc2MinFK77pqfCaDRk7AofMVZhOaLdYb72bfjDqe/Xum4b6UBgbz8UFPjxLXILJNw1pRz8qRsOzQX2xCrjNtCHAwPy/brubDerWgjfPJeQhmC+yQUpbD8C3cFsnhkRBuuX9IImoLe6jq+56HZMOkV9zZ2ovOHZQnIpKlZLqSs9ztN0ZKJgW+WV2/PymVWDfWDQ80v1Vy5/CXDsnB8f4Jr/lYx78sRTqHja6NRcEu+otz8fJx93ZTWo9i+osu3C1rynj6sSmnwi1vmYMgG/eHVtGny3pnZtiTyAYLul+l7jjK71DBgrqVWzxjiVLO/U0BfGQqVLz6XNg04fd2HpX0VvUEka7DB9Y915olUXJ9KqIGJCqixradh+5fDXPmtTP5ajnli6tere+eLGOfRsJjxbZWoNUT+ZU8MFsXhGz0L+aS+6wZJZ0citNoEvsPle3MKWs1U8FJrxfvoY2CZQoq2hD9hmaZFrWJz4UXQDhfnFLQDX8dgVYCehBQOhQft8EiCq8Z5VBAKVGpQq8N13ANDEOWLbAT6n2zcAfi+GOMSKsnj0tkRcPWzriAfQ3dK2RV8U1Igkn7tp3KDvGhhF/y/Kbpu0IbMu/qCy+YY/jhVQlo3xg0X/HtgF99qLEW/ont/uVrkAQdi9QI/3gLzrKyI0xs6WCSjRpt81kWOn+WwEdHItDCjksA2FZOjDVRqw/AOUaYiuQYP9/n+L0wQGgnatKTVUyVoYs4X4m115cUOAyjyjaGzP7lQ4r80khwsi3d+XQ9FQJpC3BY+QeznYMCpyw3tOYTMNKbvnd5Yc04UjqlYkOnebqKwyVG3aezv2+v91cJHLY6YIr8W4p28tFPqDvyGWgZhBntHyXT2QSy1PumhRJVTUekDxnvRRdHZfSJ/FXhWG8AlJfTLRiWqKO6yqFylmXajD8CfVWdnj2MOQHyStpSpbOT/KS8r2KI9V+VTuFpQ+FGhQhz+iesrk/RESLdfo4XRM7sDWocFpe2DstD33bGccIJdF9JQdpl6hFcmpyrqsqdsEmtXLLt46dJqaIU2Fv6VH0B/EhvPrUj6Zlh1DjYKJS3LWMKJawqTZMi8PK6LeHkFdAVBMWDFZApGUist61RU8bef2lcIULu4dG2zXc+zYCdZUqe7372OiXQZEL+eS5ik9nch309JePwW9HgNoVUaQpGxR6tubzzFPwMmZam+pPP43V9Y5N2X32MAbL/zDy19dgguXTHaZSi9AvC8FgsmeFdQxT/fljt+IVf/NaHJtdc1NoA/RVKJKpF+DK0ZVoxS6EAznSBYFX8J5LW42/V3efCiRX4mYifjMvr/Bmx00X8TCNDD2ztNaHr5Oku4uCcoBqLKZeN5idB2l7Wy0bs3rYwriSVRi20MrY5T34bNeQ/6h5zr6aVekaOvJLy4CSq0k7fjzsY7xsgByxYHirawBplNp5kbDvc3r+p4HHxWKFyukhZvUx2QTL3MXXsZeDs9vAlf1rVn828J7rtOkJVf1cB3QHOod+14pO+yOlQDOlbpqs0BCoGHJBIanQ8O07C4QqWu+xv9DFK8YVvnvd5BmWFZEjr6FHHqR+7LnRBkaJMem4b4G98E43xoPZXUNtqamB/j1+pdbgh1GaH/SHhFpdxmj34hsRqe15aeOVjgPlE0JNNkwrTYcbVkyut/6AdEybtmOp2j3jr6KKtxyMZPncibt4b7as5sa8V/XYH9QYNVVIunIZSGfC39YusRQ9oYOboGeTnjZjRrTOkDY6IGtYKULjhg7igjwMcw655mQWvJRXJfUk/tL7wqfyd0YLB92Yp2Wt+zi9wBW6Dh62vdmScHE9FStjNRQLXtTGsXMr9e1Z3ei/ap06PvmNqO6EfkIhfXfPFxSyZkcKrFMKuAhJFwBhvDhnLPr7Dpt9qMS4rGG6x3Jrg1Z0pdnlBUN3D55VNIAjG6FOTLTXWotpxsxhObFAM0t2CcY8ichwMyvd4JUOX8tJmjc4pV1wm02Va7+NtSdpFFe8pvoWlPtHz0a1VO4ah/alch2/8dK9voqD/M2vnRb2t3yKwi2gQ2sjlVhiG0PtV+REZztxK+H7dpwGDJS6iE+Ysj6kHI+OzXMyiIZRI3arxSHSj7x2jEln5PW6E3a+PjEmJ3uR67lpdyBkH42H6WI9U7w0LP+RH/vDp93NH2z3VbHgNn/4DFOYcm8YCeovqhVplK6RT6nkZlTyCGSXYtMdzTObAKDdFM5T/AHsqayQIMKoroe4xSsk7We0cdi4TanH91jpgoPcY8TYBZ+5JeWSzRMHEPIRhua1jLTjLngIxZrFYHbHNc+rS4qfFmPFO7EeXOsmcqXSBXiyte4/VprLySZj7t20wQxbXLxxCWmz6PR85SqQ/jeVlzF98MuiedJQD2td+TlM/vvR9c1OYkDDJLXhEP1BwmS4N+pgF01JSIcJNceAlHqoiwMwGfpLvH/x15/yjyP/BhldG61eCeX7p5ynYrZeJpwcGrMUiLYmj4hT0Iaafm+Rdk70Ubz8sq3Kjdi1pk1YhEO+/PrVeRiGh+b4osv/hDcOX3fDO5lYEzCXM91cpCrk/qLhca1UJ1bQxIiiX8SvlUl84xotP9oQyoCZor49ueu/8JPHMNKTk5t4x7OE645RLPRdsGDA3lTrW9b4avoa2jO5HK7+70yEt9wwWLwULv2G/AWJ+ysjel18QFrSmF9C0NNqRbwsXfJnPG37x3QRuHGuIf5j1Tm1p0ULzmSoWc4ocwhtQGxIZ2kc2x3+CSctPSFLy4X8dSTHdJns9TTker5bTiCp5c6+3R/h0YzCTCEtCCIvMn47Y5f1TBSCu1xeIIu0yw/Wi3P80mUabqcw+ZMLvTtkUS8Z+SaY6yldmbYJxvEzdBP4QD88sOJKr+HLymcRJYy2gh8Bdv7oZrk2Qfus0u7te39828w6W074DXXcvd1KSH/2dAk0JLZZVaaRejYJyt8yF9MzYr0myLiE1vmPhBclTvD2FF2R4Va3uVZYagXL6VssNzTm4gHYO82ZJ8UbLuGWmha9qMPQGqq+nGElDQG4+T++Qw3UUmiRwJsWgf1XdIGsjx6i8BtZ79sxcn7G3fddDalgAHz8/a29yGsXhSfoaZrh3xwTBqmd5R9FqJdQPhgVLCaOpz6FzySDrkaUH761cCz7yDWsYPsAMC84W8b6VYfHBna7Xo/BawEE4ZVdf8hw4H3bZkfxsDju6WBBypbReMkIv8TGcBy3wUb3w870bfeWZBVbkNxzHGb4NM2vKwuaqFZxwS3jHQeTCz23O9iiMzcIJSLKwUtxx2xQV3sqTYTC7Zfc/ADoXns7eIYE++X1ys3WqWJGFfP7mZbN2bcU9IuyncXNnqshsfe8J4ud0v5o1LiQ+fvist/IVl7SC+ALX9GgJ3//xDs0b7hu4w5p1aiBDZM/pORKnsmuq8plg9INrzztZMm9oxIu6kIlkjbWPHz8jpT1mKAfX6a6sCah3a/ERvwpcWhYyZbim3qhBPFZoXRFV5eQNvQ3q/godU5ZF0TvX9/mrxb7aQdvqjoFJqWY/AtwyXe1bKkC0G1z57T49TmR04naIAbYCuVNFr7ZnoUBhKA2eUyq/iJmMGJERc3iADxKjNQCay1Pvm+0F2uhT5GdZDsK3YwGyjATzq5qFqj+UosYqRcqkaIP6cPtW7vG+Tn4flThlW5iUVuLuxqsiPdbe0RxmrJUcxpSQj5/X/zQkGrGVTYUJpX/ORi2g3Ly75bsLa2mwSbp9MHpU7Zc/SLk06GVW5OA2FUwCZXVv9ZPMHoHXKXFM3Qvk+c2HS1X/8r2S4fYxbkBEvRqgTVnNQblQQUW3OPJG0b7gSVORq4zJbGCzglCYfG8+dV/EgLASb08WuXJFrJGfGrwyOhfSyvx6V5WhSbMbRbcJKxeAcvjGZlxalNJkmgWJzFfqDlmCP7aMdCj9lULqd8k2nK5fO2b2t3eW/eILHtBijdLsyqCtH0ij/jvvRlEtdXHFaFAQG/qzoayyvZ+fL4EHdeD1oAhKDsYoysrwTdKq8K2yOdEYw5PPH1oTA8T2SVKiqYilrU/zzk7qZ0enrtGml3rhUoii1LaFrZsKGI1slaOVeDQ7SeBEBl2jG9NgdOrTAt5wc9vblZmgQuHvXH+gy5VrCKjuZRjP4bgQ3qRY10tuiNom9YB6IR0x65DD4RvGVj6naJ8dpPrmT8mtcxrMqpwqWNq+/+AXJMWymSU5QIh0dT1Xe4R3XWisfZxWp+QPGkZHEglvnN9SYMC/R9HxKmtiZEsdHl8B3JnT2BiDoVG3reww6MmYhOA4s2vXkZZ8GclsU1X2OEE/45o2uHZ2HX9Qh2/iGUClzM0F6iohaJO/GUK5E/QCe80VvqFMEOvJ4bKz/BRuyODjp+Am+iRwy2pT28pfKiOQtLChaXa61zTwUpVsYN94P9kr+djwTTwb3ym3R3VKg0Zd9uBlJG8grx0218v1vvJztYygSVJZvF99/FtC4bC61yHn42rlgII69UmgjwYzoUJ7csW3GycnHh8uN9dLbTB3Qjsqy+nrIfqELHVtKVqBEAfqrvXMEKQSSkwUAE+ccKlz1Q683YtgZZy/zmbyLfIxdj6ufEmte4DbJAr1SyAS8huZorR7hHDVuFXHIWHzcckpYxzKZH+m9xqp72PFLHi/7HDgWiWmYatcl1COwBqRBn2JtJ/lYPx6+mMxTEPcZECrNgeAfwxbMsYL6EsJOzr3lsDXduaCNRNS9+S/SEtgScDbKemtktpzyn3yWtX0pBVnb5sQIMQf7Y8txs8zPafSukYw4qSdCmd6z03P8Tml4Dld8n14OvuI0JJO3ojj0ES4aEVAgBkKggBCcOBZmAN39I9XyoGV3Ey/ZMOvEprV9xKtJXCTiL3VcKKZmFICpWcbd1WEC18191Byz04ojTHvRJExY7FFmevvKQIliQyxq1xRu0QpcYL9NcJ72L6PTmbFcmrEv3L4qDYOzViGS1DTlHwfAUcW8I1W4aSMbiNNe4q5S9s3cMCNbcS0a3MgV6TMZ4vaFuk9zrtAoQlU9Nu2UjTdZb+3nD99fHA9NF3uXpj2HnzuUFss+zylCEiTkReqeX5BO/ZNV+trRH3QmjRpDG0TMFeuG5Q9fmYkg09D+LovNdcgmozSSf8Q6n1QAYLL8OCDnV9724pSRmV65JfIt8jo6f+8WfV+WGvommRqfknNQmVhk4VxpSmftY531qgmM2LxF3eRUSHCx8DrWN7ECuTExdOoqCehdb/vLKSEURlYkwFeUQnquv6lxyKfftZQUX6PLzSfCmOn1SHgCccqmnqzvd1UiGTBXeLzgNJtusfsmdGuLH+Mht0/llXT4vKSKe3upKWHxyHHEZ49zuCjKjx/Mmv0Ctz0YN4nN3EQrj3MbC8Aj+ou4KkhClLUGomX+sFxeM+MwfaagylQIw3KHNqfWTMHaExNMhGZCDN3JTh5AxB/GyHpXYTQtnVRnjpY8sQ+txbwq2J6z+v57RmeZl5XPKaDDQGvzUNRW9k1XqCq67BD29vBuVnyg8lilOa8tpJcHWPP8dWN8rnL07DQRPeQqOLdA/zZHTMZFR05ASgNuobZGiv4cdNvNbrfNzDlCZMuNEbIW3Y6a9e8spXvy6E/JRbnmpD/WBlhs7nmz2Un+pxp6f6FX0vrIiVaWEPBje7lEvalT2WEEom0Gj7+qYXsPc3204SPI0m5ZAkjobD6HVaQ9xfoCABMOW+ifr6frOAR4sjlXPYjdMcr+kO4YiQNmOwhIcqJtH3SXUSZxJ90ID2LrprimKMDqIoqIqrnHAoKtSuHx1cMGFuI0jSLZjsdndwHPhtKxqIOmaWp+PeUCTS2AkaKijBDOKRJYlfOJw1p7jkfwL7BDMH76rizMtEfLBvZhQu37T/KE7XKO2E9Ty8EaPC5w3vqan0+taYzIhwTwmheUxNvjafXaCG76RFi+O9lKu3LnC2Mx6xIj84j3ZgxqrlQkPCtSHxLRduF6ztCp+pSNWqB/INFA8YctXbUhoDjbmizjbwCbICAmfT2SDFgDfFVpHL0AY+aSLKsObWelWFGMedBmHZ8K8qqokSTJtPnUw1uktwS/MkImRB7gx832y0OvlYEJp5I4vnSwiYM0nENBKRoi2yOPPz4xFWv9pffEZK/cerDydKS/gr3dtlIz019AZyIL5df9gba68jUeX8T2TahAvYRwDJaZJSz9/pLONHPO3Q3gVj0mjzNyEnSK3cfSq2aFazK1AOR+HcJH/FnepUEOhbH7WhQ+iWDiWifk+rVhfcdZDwpTdD2LsiIi9JKk5rfvGNBLpnhxbgfgkMw8oW93iYTXsmU8RK2xBLRd8tA9Qx9Xx5Pwwy1jMpKWl/XPoqe1dSzp/PSjoQtmdkRZ0SkF0D0rWCrVbCBgcnQFwP6zDHss/+CqnYtNYMKOpE9+zX/wCz9F9MNhdiWHttt312Dx9BRrE4FeilwA1RwXqRrnaDQZpLRkEHhRrjN0VAS1oJqsBfb2DXVL9T3CyPKt1p+tOk+rh+DvrxbIiQKGHxYHawsD6K0xzCfzU43NqGyXVi1Q245NtPRdMIb/fjIr/DKq7Lbq6yxc21jIva6TrYfmo+UDuoEo2CF0UA/2x03k/t59shMYDgomIminMEdVo9mWrCc+kqZckqsZGZePs7OgcT2mpdI1l+6iNWmLpd5wfScUAWVc5RH4MdIzg/ar8vVotXvnj+KFVwhbARc0a8fSbA+tV7yLnwzwP7UvP3UwQ90StuSt1udW3iEYfkepmNlJ+pBanguKqvoqb5KVAX9QnTdiH1y0MkgmTUm6GceVlI+G48G53KN5v1dLI95/HiyVBYOiyRb+Qk/10rMLEyAlABqq8AJjnDWIx64NRiwS+9SJ68vcUa6ufTNXdbeWuGjgrPWWwHXhtRYk+mV4oH+xle1rvocyA7lHRzw46WDheV3hNXvKIv0yz0KfOq+5wl3hEbM5yrhVmXSp2VSwlkh8SAQVNDxoA2ax2zraLEjuRKo/5AvtKh+31Gh1bNn49jzdk7Ho7ecIFrPh0KJUgrV3KYqcqaPUks1kvVoKgT80YlvwvtYUmZlxootQ0DElvzjV1uWhOjhMSIDeQUj/mKl1ep79Q1tdj90po+qaq94llxzChEW8ijf8910szCwrzcTJiLVwujYB0l7e7+6RhAKUeM/drDgBpys9MysT/xSbavqUSfv0NifiTSZvj3EKc5KUF+e+fBh/uEL62WqZ5MyTYXGNwXgYlOsEJNpBMjBLjOvZ+et3vnD+Lym04X6eX5Rb4Thujqw0bz6G073do4p3cTQUX+iTVgnru5otJ3sbueduk85zUoWIUnx6EIJbXjBSBlSvbhBST31d10Ea5tlD2T9tuFo6hdppVB58d4VDkEGAtYQMaXVtIGhd4WkU/FDGg3YwWcP9/D21+iRyvPxVsxB7sXjGg53PKB5wc1hYjVY569k4dJZcqssHjT3ARLGdr8aKqu61dAPMJOmityNBSKcSuOMc2GnLVivL31SY/xChlvxWVNFvl4sdve8a4Mw9Hd32jIBj9u+4Ul+VpDgjcv3MK/JD2rreRoVn+G/gHb/eho9LqLsA1VyTlH9tkYvvwLVvb/Tl873jBEmhsDqYpGLePQVfQD81mf0kzYzouCxtCczrBESHWrH75+zqzjGkY32YdMKb0hRvuXbp/vt7anuOM6HfvjVm/tCkmMzyQ7X467j844/Il3J+/BH40R1qwSCRtUKW2BZsQUqvTpVmO247ORpi8yMh4VXDJXE/ifQ1Z6nNXssraGHIJ5AlE2ek4sgi3eX1nPCN2myAiQb6DjtbmX5uu5EoX1bY/WiFUS4LRu/lUx5PsakCIY9cYWICwXw247XPA726Cnkk8Oc1zB3msIWGEvMyLDCvxjKfVZOmycMxZi4x0EjVaNbqWuR17lyfvQ/FvBo+CQFERlaHHeJr47mk/Ht33GzvGfrOkLk7eDQzeWJEBtAghKO2KW+PbGv4hr0+fpFwo5g0TWrUJ4pvn7CoKrP9QssIZjD/6PuUrB4LBRXUVrEugRlZduA2z5dp5s+6iAVTOgn+tsmjfl2kAG+dX9QMOqbJfYp/taF9M1N3PUMTifBbsLnPi4cUf43LP1plmYmLaRnIPSt3avTx8Ay2OZpDI5Mm3qhPfKaASe8/J0h6Ty6Xn36AWGLnPlNDpX+qTN5hcSAnzXKNo8UM65sS62ir9GcuCD/89U4+Ihqfz+4zGlEEL6Ocwo7BB5d1ddO8eDRyuJ/VMoSBIN0ic/jkAbwbETr9WQEbuesYOYFXpun27tiJ+PXy7z35UTYXrb7VGSZ0UHPhVuEZxM11wb0wAhsDJ8ixnC9S+p9b8R4sBUFotz1k+Ab+8T/OdSqvokZGK2hQyv8oL9kIY28Ffw23tr45HUCl/4HaHQyNNfAGtME1eL8zfTIomZZ2AU/bwvHpzfbZAOVTl+ppuhoy7C2o8pyrlFtH4BhlkLG6jqPNbpIPTeBuIShzASgdjBOPerAOCXGIagi61KNCe5N2KOdh77Wk0pU7EhaEeJHRLb7lWyfeTuWcbvENBc1vLyxhfjFtzAYFAcmYy52b+Xnfp60pPPk5I0V9LOzcWbExeR8xZL5eEqui0Omgl0g5+Eq16MzNLy+EQQvkJO+1kiY/VQpPGAfo1GiZGHpeTijLEx2lek1rMSwPP1Epf9tKGBh9URW8rXcDtcYcAJK8IJOKxkfrk/MabcPjeJXL9g4e/kXb4l4COXOg7HKFyMJ5cUaVQ/KaYB5mwidv+WaR1ir+qTexofcp5YM66OFPYcWvSxMPD7iOObJb9A78lF7NqMnP6d4k/lsqa5ieEYDbZl1d5uJhszsWL5lqn4LJiw57A+exLZP4M0ntN+zv3Rq23LLYSdAaYxZPZvURL8XmA4w4Ym7Qn6iJO7WnXL/glP+Kn0ENqA1WSLptBgvfBnGBRNflY7drhCHO8ZiE3Z7bJrqpCNgyxxlZc3pci/cegXO9HCjjKByjJSahFu2JnPvm5e7Fa1iF3bRtFKZ8d3OD6a9ZazxDt886ICOBbcjOK8ZGlt/lUhPXY9XLudFspI0rzWThaw+aDH6fGNqtW6hjF6IQ6enUYZZDodG7RB/F+V++I7Y1z84B45bflOTda0Gp88HRSUGQ7dFRc1daFSj5c3+6PuWRPJgsw4swVwau8rPIxXsLMIxlgE5yPiY2qwfLwJ9Qd8E+2qHmBzhjNReHTNw2cyG5E5YH+YAjr7XFwQynKhim+2eskFZuw3M3Ok+8rWdGFV9irr+7rtiqbl67bXxnknMGxFOO5PLL9AKXRNqNyRVhK7jFf4jTMjc5y1Tu5sWKvTCcHiuiCc2mzBSDpqz0zmE7fOdqGZbxmtbKfV3Cep5F9glbeU3nbgtZjRUN8uwb+ERXi1fzquiCOY9L9lWP7BsXB1/94r8itUp5n3xeKphIat3c5pfBmVMq2tA1QpVUK19gh3/Nj3InFvk6Xwq9ps3yc79XbhskHcvgu+qd24xyqzxy822+aekibkE8zKM8qpdYAGyJd2u1M/X5hT1P9XVaWCMp13e8BM2RYcFSTCehdEP2bf5ow4+nrhmgrQIV5cwI90tHSb7ZvKQmVuXhtq/yO5nijToUZ8JhesEo9KvsgRVfMnCuRsnoQKHOIrwnOlq+crzzCD5gOZl77A/zXiN1SujpTv9smSJflL09QXPXH6Rj9WOmLYMu7QZ4cwopPj2/mx/nu+8dzas41fjnaKi130fdMb6ySmrdqcWG/69dokHbsBduCRfvEtyZAt7G7uLjjAfpxVYws4YcfsuktSLZuaiXFML4flw+dcXKOzjyueZvDPpX3HNNxGHHHEdFxoqLe+u5ojPDMSZ91n0f3hp6xltIsF94GkTeZklf7AQUrXMwWLnAzeHWI7fqC69YK+9miCQnBZB2XJHu+tvRBtBA9uF5MS2SmSuytiXWaQB9jpWpOclvorFdXhzP+E5FIu8jPUiaFcUHCTYgPQL0EzPvfzwnvLAOS07wrZGgrcNK9Mh9kH0aFUjP+JJPTAw5t2EHNIyhDEqqiM9HmtyYvupt+C2nzFKCornV19tMLEhwtDjbx8ejocLL153lxWXjqB5TaFaEvAtYsixYM1vdfi5jOsHCSBiKMlqseAsAXXUzpREnLNSz8TqLqj1JLjxnKEoosV1lqNQmGUMj/PxOwaW1B9JP4uH+gRHHA12hVyxff6sYa+O6S6YCDBFrttbzZ5pVvimvqTBXAIrbuuGXpx3nMDDoKHOf+hln/rNrz09RmKLUkHofQaPL3DrcAaZxaKc9tMA2TUrarsY3NbiFCnBHLuVsCFvxihYu6t1E5U4Bs1U/Di3hvFy1Dcpqcv/XHHmcg0UWJCo3687RBPuRFHM3JB7ZkpXxdBNoStGei0DU3xMo9W+OSDaHJnCGU96HIl3sN8ck6Fcbyq7MHw4QdzaRXZnfyJba7KbvtcOa5DyC876i1E/B+hVOZw4Ocnm7RcugJ1AVOCoQVfYMhQ/UfAIOlJ/BKaFc8R1XfvTcUlfohiCTEHQSK4wlRZLDCcDWXwyuKd/EBs8OzyxjoaOu8vncM134jc+27JRkBPgHtbWfKWXNqs57gq74ptMbyvpO64iLbZavtl0YCwq2d/KedSxI6K+6hZg8kMnhH2oQ54g1pKYkLXalMbCjip9slNofOG4RghsdZX18FFWml0pi2yKGz1yRjB0XV0amiiciL8PxFCXaD4OdyVV/DoTHsvFmsGSSIG4ZeZcN+Nex1Bd1s2ttF8Tvz2L/6rd5WdeGePLzHJd1B7iWZBO+2pF0i5buK/wCvyrMdGOx6HCAX9q7IRhMJnc5wudqq8mfuSts6Eix6k5X33UB8opLTRfFeQfSo94dj6pe4wi6Pfc0HT7Fu4fD5d/+biuWSjBZ/d6/Cvax0/qMNW64rCfXQWkmkIjDNAnQT/dcF1KoJXFxF4LoKA7TFh/7VuXjp089bDZUVZRdR95wJzEYd/vA8r1+iOQ8+EsPXm0tJ3eKY5r0cdIZ1uSddYHbdV9/VG7nX+OPXYvqXQTOUJsxVeYRkqRDVuRUS7uh2PF8X5kraisi3uQAp1QZ3p8Ne8nuW1GW63Zs6iVwAAM+aqLSBr1l83sJhgeE7LUKi7m/YvhQJpKkv3AKKRgoakEU60bTiPzXdbOV40yKchpb0NfO+Yo/CxKDjrAInVMRAPdxlRdyb5jCHxMx+V5uTOaBOrIbK+N4aYtgCTwtru9sgSyz67Ph0jwgYYdwV5vGw5cAd/8fenzvnnhBvHhbwTe4B8g6NUKPD7Rykmu0mAiVRwfm/S0kAOcPAopiOVeB0dc1TAXEtGUfGcV0ThIFxPetbFeKwxV9ZUz8tt//jniBZ/IWEHrESI9tjHUMr32AYARbT6NjB7TJBGRYrTvlscKb0K/g9IGoCkBirBeC8BctDlHHtfS7/xQkji1sc4MLr8XgYJRsRbt/BJbAqXSbmxWRWn7ydBZRF0sHYVH7lWbeM+KGYn/wJJ0rn7Si9Xkdv47F5pcaEmkCGW5EuNsxLJtDn197/tPauvQFO9jnHABq4TufP1lpwJz5ML7BPhhKe7qL/bE1cH+L8rv1xz4qoYirrfjrfyaEhumySLhredWYjXNu+f5AsSG8jbQ2bXL0hXUnju/eiXZj8DF4Mm9Pm0t9SC7bbB9hv9ycQt+Oc5yxdOUHFFUQZ+6nmM4dk901R4JtNac8HOKg2E1thPwJM4YygG17o8lHK69flUdBPwUQtwzlFar3h366afUxneiMg9sl+nt5hfTz5qMqWFJA2vrRWJ1b1YQwjpdt9kPz+U2oWtU2FhHsBveWyGqdbpVVFC8BLWHlmYhPmsBvz9wILrkk+GLFMODGofQx8rlbnPFQjIuOG0e5aEdtLxya6ssCcapr6TndB7rHswaAtpX6vppk2f5YK8Mh8IZyAgVc+kz69DGj6v9HtYDAwj9pk4QXHoISHX86Ug5We+RplgWmsacVBLrdL3OfWTyaZ6rvvtoHF9D4V5/FISBJTw+POopwBpdR+rEzQPXHGXpn+3V0BusH9wGMnbtulYa2iWL9m5EAUP4iA8ijjm3ZrwIX3aujgehSo0FhvH0mkj2xJdPfvlmcTfEj9ZlG0dNuA7juxKTX6RiH1RgaLIq+7rxwBKHOu3uH9uMYp1tI2OGy78v93V9M+Iv6qMsvstrmdyhKG6+Iudy8jN8qnhmWE0PNwH1pg1Z5S58xf94cM17offpJJXKXs/QHZD/icpQFXhzXu/hyX6JfXhGxBgtBkv/M/dEQJc9xfLnEdscrdyQ99aVoj2GGF1e43T2g4PVHXc26i1mFNvgpXriT/zXWW36HnNIlY7dX62fU5LesRECZJZELYSkqIMmV9KcuID8l+zv65KEZeG0eIWxrwf4N37W2Jyn4Vsn2CILN7A3mWAVLFtLBVFnswh+9Z9OcEXBV/Cz19R9U9LzsQeeu8ecHBeZgMQAQfBr6+HX7prjLs7LqTo0Vjwdcpiz01lg2i9XMnxx8ib+rRRwAw25c67uy7e4hCdZX7TWsNbQ4KOD4MrMch+6nNbUxUwlNQf4VXMajAnT84aSnfqYj/H8x3VvsEJXUUc+JqXjmIStok4Q485UihVIQLPMJtOMTViIco9Ek5YsqyrBZ21KMb6fOxCswrTdTleFGqKIFJn3ilfs1qJmCsUN07DbZTxtHVLX5xIWg5dOSgkZC4rTxHf2l1YPvbWxM3rQoxc+Dd8eHx8mDye1TXuLJNec7lXxHasVzb2Ddy0xdJUx7uFOeqVczEC2l18oudGPVZIYu9zgp3bSEV4nOaL8IP9iKDqK9L5U7dZFENWDhtyG/a/88XN12IFC3J9cA3fSWB6vdl35ZfE+TwCEqYyJxJ4wydXIW95WBzSUwUSZ222YQT/rdEjy16+wJy21Oil4QsXTgmpG6NIduIzBsAullB+VBqeljHWWY8ap8G4fFkfAuxksBdk8rBu4YvUAkXKEHWowy5nEfQ+CMqsy25diEw6bw6OFdQESe8vgwimHY1HNnuh7Vfpn/PKZs3lpjDMH9HdbWRL29Ztn5iQ7luzWxTdD5L1+V0Qp9AcsS+3cxzTKnepB7wKZeqejgcjrmgeYM2RmnJabX4wiVpTK8JjIxo+aqdU8v2uVu43FEddowA3TrI1GjyOLDoC1esff7yRZIORhc/BL2BVQknl8v0UqYouki2lm58rqPXw/N2OQ8atNUXSuQpsx1NjEhH0m8iNDKgdxn8nbExBpFjuOlsPUYlaO6Nh7MwKG2jv5JORT0yXdscZLM8TY5A38u8zNy6lW1JW8ARojBr1oRRGmxDWm2DYWc2NEoKFWfeftfI4wQxkVJjMHrWtt5LadREBhr4jdBEHflQc0GzDy5sXm+LUTIMvso/aCTMcil2PhbSMRYrip0HGCAm+nVrPwIiNJZcyAswdGFP+bPUsqNNRoeYfu82QHHAuuxTXXTkVM1ijRKga3A3jsss5WEmp9Kv8wiVpttkSK5Ujh1knLZ8DEPcc8x1He891ONqxDI4vNDcLrPvJfWGaSPoh6BZhB4jQNc5dMqOIu8urhknkKXzbGUakr9O5GKduOcc0FZEVLb0tlKyno6IL2V3rMH/qScbsQ1c/lt2MmAWLZK3HaZUNlxMbioJizvLlU5hh2QugbeHVAMk9EkdeyBoFPXICcoj7Yg7fXTXj1A52SwUG5nmh11Pf0aDOMnzPe1p17SD8Ea8bfiZbQwOKNwTSKNTTWbxfpIU8sI21HOxpGO5O28+zSt/f7XOgA994+sCA/WkjXDrOM0ptGmk7gDHnz0eEIXBZXIrwE5DcPunnn9ve+67pnfp3+ugxLlUL0nCBI/FCAHFBJPWy6z7+dX+2uwLaXtXxBNKNGDCt4nQV35/3WCv48ggRLIkkym/eX+1rc82dS61Ihtvamo2uPSEfwcgopCUq2nZ5iNIJ7hnpiiSAjjp97evMIGAZR8xPIkm6Dl9M/adGkKtgAo/ArM1G7240DK1Y048pUyVfguRp1+cDT8BRRiIdE0we65kxJn08k3tprRVpywn3SLxjhShM6YrjWBeH+mmSuCaaJpo4RClxI6aTxrRIdVL0Ips4qbmWJ0PVXbzwCEnFSnt2shQQYmOEJO/StYmVW5AfAsF0DeW0aEolEckd7FVXNvs1Yb2Pk99fbs2YwBqNPTfwdmJbxDqGJXbyGL2ha8LDfVZQ6kNBWj/eUQzPbfQn7cM9cxMdxZ3BLLy40S7TtONJVc1rx5nuPzHR+/dxOfS2C4tJO6646Cw+JZiCGua24594tuUwZ6fIjRlVEQy9eUpUJIzUQ3ojYDMOS5PTgDcHCc4wL2paKAEVN593PuFo3I3i6jVc+K8n31yCgJ1gQEDmaJtYRD7KnH1Sgv2K//zGVVarNYDM8zpjHqSAxhiYd1mxwX3OAr7UepKLCqpP4ll8Ty5g1kyUH3eW7bbDNlDx/mmU3zTAKTFpDW9esx1Ntj6UzwLHSe31w/OJ4JqilqHq1RJdtQMn8wuj0I3UhB4d56MPUMUFocyhn4VoiFGctgsjIMMx1Gybyh+8izS4hmEfij0HGprKxm7t1QyD6IYqXJAbXJegLSlqi9tq8Q+uN7DPaa5JhZij4lFVXB5Vp8ifCpOTVgJehfZl41MZhw+z1/pMQnxjF1WCfjtjMT/Hfa2Lm7EyW0Ei7zg8E4PfG8fBVG7/b9uriS4DengdWTEYm9vh/Um6KPkFb5RCv1NsyGr/WVb2N8wVxo8NbxWJ8KQ9nzjZOzEAInx211b7Nb2ea/ynw9TzbFHrnRP6lfsS2J9lAgqbyEw7nsTD33UNyV/TXRfOgTebwkk8yKmuMxsNGLJkCg8gVEZCmBDWvwGKHvrEWYUtLLXmQpl2hO7RSlLDSZ9ZJLUF8pjviVHC3HeYwTOOC4fG/0rjwHUCuWMDI1CQNOBUb/7Snx3Vev4ZfsizJfIh2+bLBm2OjmQSDZ5a2h0lC5lOboXjOYPXQeSS6+gYVnSrSbMsq45ObQCICQp+DxBNxaYh7RDaBKVvtd80DPV5G+xuEaWtaV8ZFaLqgFl8HyjYlQORrTGM+I2P+3qn6LSGjYiS3/VwKbKUfOM7bful3ebAM5dtB9CWRRCQjJMl9iZkZLjFpPbiSJTINUKZP4x+3oNCgzNtUopC4tKNs3Z9EsvDAtZg53btjMkzH0Hqf+T6bCneTwX6L/aaS1/I0EWQmILhsQqftrhzMl4StKvFsDhIzibTRwNS9Wzo4b8zNzciSBwsp6r6jgc4dGQXiIEw9Y5hpCSfIU6rbfYZTf2NCpCyQZBW6M+v2znNYNZxRLjZwXrHCq1OID6VmLdSz7xNitafZnmzGZeBQsfmavM2NQZZGx4cxYzRly2kXSUu6jOF1h9PdtyteITu3wCydgK/e5OdjiW+95oK6cvy2ALr0CTUlqXeHwwQUcNOx1YwlBNjHrMl7D4GazIK2nKa+zT9LJ5ET1qQRJRrB9kqaAjzvGmeMMM5GuDJMJSvRjM1K2RvV0415SaKHug/vlBkyqE0cizBifdgKqb7i0VRlacx/fnLgXwsA2vOsoCffCUHpYBQfiefnlHbN76IE0FHILqgNEuxkOMzC7O8TMdRnv3ceex2nXg3Fl5bNuaPhVePM9DAq5/sQ7gD+MAJHlMlePtltxuLV9Iys/5O3pQ/GuwbKsTh4ODaILk0icW5LO15m9BcrZuvcG6uDW4FT07TK/lr/XjThrZVPAfNMrqNcaHep4lrY/Mmv9wnbekAWnqtvV/JMHcSeXH+dZd+DlKAUn2PLdgeTx7j4Q9YcnKDrP6LJvzkZwtWdE9WkZeT+lsoCVT738cObo9Ue+RkEoeRsBnC/qE1Tu1fVZejzUU6xHVt/BQVb3FsLdMKkNw2oZduYadGwlnd3ZQNNYnXWqNQ8tThx1uvsTlQnOzyLg0AFY7RPbobYBncHqoqPzDVH9gU2clLTSC9QPEyVUCejZ5xaya2EYandmGqYAG/W4RiycMqeBd0iO9HO7uo5zOXUG3c0TLKh+IhsruTam1RyblDMITLWEPuhQbS4noxRD94+3nGP86u06zXE0XpMuTAZkyqMB97Q5zs987vbFD53WdEO/E+s2V9TF9S1Vws6sSauRnkQ5RvTvBbdeWVDX7KeLqREFcXVsy6Mwi4I3Ag5Qz7ZaOdFr5HH6huMUNfNTV1793mAtUmdw02lU69Q5RjXQDM3WGYgPvDdlfLBbD/O1hbx/phEyH0sdfa3QjOpiOUHX1JlLjqjQ16TKqazNNhN2G1dfuFMSsyYqo7hmRu9tdaZ9lBzKYeKWaREI5oUc2gu6+eZc7OO+Q1cxu2f7q/p+3XwaRcNq0WHu3+RYUs8hw1Eu56rA9pBXyURp34EpBPcg26/LCBQxs3aSnMV7UbFrnEf7k0sTGqFN/cCzFWETrhpPjzgnn3SESmDBer3TRaJoLwPLVFH+bwmcpXxKrqqTs6GOZWK5bp9USF7h7voJTjAaKsrvuqnlL53B6y9iKu0qIILQBx1OSL7JkUB9oNPDKWCOGNK1o/MCoR3OiziacyHBCrIp9szzJZJRock05HsESENZT9UPcFzBIbL650avWN6YZHa4oRSAGCe38IgjfG3Zrlk+GAOl4deeXNtspuFlDneBG1acnqU6j5FCcfOmEQaNRpuIbFtB07Htq9HKZvz6ATuHrCP9EoyU/mWvZJiSefV1KdKdT0UqTYSrA23LLSviQlqDmF+3hzVyEAvbWTaCUMF2vL80IU33G0ZDv5QX7j0MZZp7aDWZKgKihvzNfZ7p25+MNi4YYXVaJPxVYg4LCkbOACaMYnatyHS0nPQ6zBZk+acPBMZ+a5+5UA/m0eBT/tcalNrRZnrC6Kb8TUjWsKbytSPHNlrZcSkURoi8fzOc/9PAAsX9Ojj9whCDBZX/PLyAzwF2RI661BmYxNg1NyvM3WHvRCARcAhY7dR5RlunAB6RLiZ4cMT4N1ITlrIjopVByHEf/+LMPQ2RcDdxUGiGn6mmouMPp4ZD2a672+JfrM97d4vQulWDK5j5Pf5B2qSMmviVIAGrbr+tFeJ3zoLqiZYAFd76Z/MerXGVtbqrvi3KEOQ5VG43tPSH2B5K/A0xzjv2FzbnFrLzsAgPY0gp7tW+CWsJfMG9rOyTzyFAyJoNTfQ3s01XwZRoZ/L1GeMq8sJOQft0dB5FazPDCc64+B9ZMER8UzKO+ACoC2+W4MpGiAq6/Nr95ZEwyacALHCLTFP5t25swoSTBpdeE8bFtWfWN64xnNz8o+jkE+jBF9itj0CFEwebDdtiTq8wtZ9Zw7OFgbk8hHVhk5aQMqcRU51vlvyoIzEcbdSkGZPGL+Me1lGYozACeJOM5Jiu1RhxBs0hrnLv/Qz91bTX4wZSccgiO7WTuGts7p5zfZN51xgkgQ+qIGsQBoA9UXuUMZuHi/9BzdFhw11XwLs7g7qYA6M9JnyJXA8+ML1XDWYcqmqD870cm62bHb79+Fqjfrt53dB96k/ZxFnVZJbKXXcXge/r8qMrP449kH/GvNv46R1TqtWhjw/XYWJ3IvLKWIh8O4aloaOBTpDE7klI9m7wk6nCwH2fV1OJU8TLnvrXX2HRAuh71LLtALuvDignPjhEoU/dMR14kRpXzdxEmJtNFjAIkKYDkAiRh0ZqKM90afcGBa1v68pbmAgZoXZH11jj2GKex1Q9XPL2/C6JLM8f4O+cbgZ3KozQA4u2bVXEoZdSCzKUMIScMfFI2TSRsNH2nmQ3N8mK5Os+Ac+MEuMIb/ve5upXwf/jSgKTLdY9QSGigtFCplYefFDEBnD4a0lFq6VukO9ha/yN5Tx/HyXBjf1q1NWZnEt7+7sfya9L82q2HbAqO4csZSt7oqprEQUnpLKtAEnwA1GfIYv0RHHSA7cYg5OF70b76vhGFFerYms/06DF3G7qComh4WN5NZV2q6F+ubMCUYmHyxC0+TFvzkfWY27tX6uaItnmHXS3nXa269idKqRT23i57q8IWCrw3+XcYO5XpMMENzJQgputDlDUztRRzx3+Axlc8ddyyX3KYatHo9OQiu0d8xU0bQrnxcpWlVhFPhEiEhNUCQVBAm8rDQktGZ/6fFV793AXahbdwtYki9zAcAVbJACPFRQTb8cBmvHBUveYmWzNK04j+Pe3N0qq1/nh8tFY8+DlukOy3pm0a2f5CR/dxcluWmai0SzN1x20zfZntsLlH3vyhPdkx9UUuoRVNuqve+mY7J9BwoRlv+41x3890UqaGaVpLJ0Sf8XxshjrRmAsrH+twJHgO3mEVshbIpo5YIbNfiXDIbaHV5xBTw6Ajjxp8kBZ/NH7h1tuVRhpWk3K4YUwwflGGmB4mrQ+r6fXPyw/VKCZrdYSv6JRvKQ1hLEcyQKWeuBW7PrZxNH4L/g03z1oVQ35AC3TuaZYwvBaFTlprFutuL3BpJk/XMuOhK1PGJaVzSoNHJLO1gSNOV0oRoaOhjjFiCc55KCIGKqetDlNsNzRP7+5rCy8pgiYiaCszqePFSu+Q+v1D6dmQ8dPhlrRvTgTmBxdXkfyt3egrLBQT2fKq/dL54BM7b7aXmpKA1WwbNQ20v4bCuxNs/BANmCsP8EfPvb2pMVW9iyovI9sqPKqZ/EQL4YHcRrNqPNSleX04FNjbUxqtzTEeLLL6aILSzjo99fOJSGmp370qd0PPbci0Q52eO/ybpbroc4shFhJPAeszjYvUJ+vMn4aILNOk75C/7wuFWSOiQFA3oXW8iGx6vbaPaDf04eNGbLfr1LFrK0PmRkKpgAne5P3sVID2CuvCYTZLdFq56MivxXYeUNn0U+WHiVHp0ROQ/CBEPUGHCWji3f/NjuJSrUEBnX/L3JvyUP4JrpbkTogG2BzLziFKePo3nRRRutWKROYuITjyULFpyWuTwUkrzmG7JoyOk1LtyMOKuCKrJLFlLAerNHWriaQ+QdKC5SO3EO7QxZNpXYSxjmHm+gHAFNPewkiJRP0WIPPIEm5yGDpT5zfkMWmOKvWmIiZUm8WlkZKt3zjt69tXE1aqoR0u+j9eWtB5/afgPmrZwSvz7phhawEHLsuUn8HL55zgPVbAzw/3m7Pi0Yiw55WD2SBsQ2pQts5W54dzqmIXOOUkz+mkQz9XGETS9ksuaf9OyHPRvHG5YQDVZ2Dn30T35hggY2TMykiOtRBpLbGJFetF2ZVAKdW4q6OU68egqAHIjRH7euavXV8pEMUTf9H0t5tscqU4r7PZ18OlMUSocYSyEs2hLG+xTEjUHmm6+CAxIv4+Jgjpj6IMujsEcukAUePINmdEHSzDGj3mmW7Qpi7vzot68dd7XWkx4raeuuMCNf/XiswSKqV5JBy/lA63k3nu7f1Y4j/xwhpHCH4zMGIagvX+RSG/QvAppe/8KbfBz/gNhBmwUBi+U4A7BOnAqpom2u3vmv+Aw+p+1TJ+yRUs98UpgyB++0/1RROCKlhpOKpcxAGX2SEUQq057GBsIvWhK/iQPApLDh25BRsu6oFQ6NiLzOaAmrsPD3vtxKsJZBm2g5ABBgk2rAtIQO66EoEfJLIkKi2JqGuNMxE9PXUy/CoIjAKQLLYRd1avFqRvJnZEhhGol/nZrPbnZpOA5O31rPnBpTUqUTDRX6o2kAni0nAF2eA3H8Sxh+9vYP5PycoyS11YtwxYJc0+l3ASlK3vkU6BId9VV+9Ch298KecYULg9NLKDTKaVgZvQGLi0SFWDWtEr4ywcF034XfPAtTwALUiIykbHREsZjzhWpSrFpdFa1nyBUfP8P1XjeMh+40wD1AYo3jS35Gg2MonV+wClUlx76TwQ0xRzYQqcUpjERhIqnDKIfpdRG82Ux6s/LaSvGMUMarl9lHBsyY0AjFpjnI3sKtIhHLL2uhMZ5TG1098nsyGGepGZt+XBAQQ4ySd3V3toJWg9WuD0Ji9tMGzfmMi5g8jujxJdmkmZiF48WHptfJOdqgaDzemKkU/KLHIM0XBl5XteaU9nY6LN3+5w62Gvlpcz9ZaBkR5GdsWCbIKTsGLnAjnkhZQqVc5CfNU/HH4gQ/Hb1mpGVZ2TpVpVLMOQkAxMo6k01S8+dPdLltvOEnqjy33bVJCexlaFupYQezpejO4xHJ29EoeKYjOOue6NjzaFi9K0kO8LJeZeTZ7Z44/k2gTALechfeJCsi6iEOJ7JBwK3bvojba4HhgcSa4scdT+CiHyIZRxxpivEXEMxXDlfrJL4gUm+CvwQDSP1yKAXI4eDb7MdbwEOmUxRa+Z4UfaFhWhhb1hOgKb/bdZz3mZVXRmzGvlA8Y4OK7D+Pdht/WDrE7vqSDfV1aA/2qgoY5+rnRqbGFiHql7wzRIOLjB81C3rNRAOuGh+Cy/4x+03jNh9IuUcsIwmWkXqr1ZCijt/CE6mftWWa9xXTCMAanNDp1djpdf2gP4TIP4RTT8vDzrEiFa3i9+zIO2eFZHvjdbt4wUFT8TkmQAQo42/oAFijL8/eqwK0qpgO3seCl/hRUf9qgZrMvqSzLYL+PLzXjS4mgF49SLgKGY+zzCawKf4IG4etMjY+DVO8HrUWBkIAPNgcIoTyfUvZkOG/unG6y+FwusAhT5/Qeqb6VyP/SVlzGdCXxkcQEtMdks3CzYAzTcPqS+9zstVKrRaM3v4cKKB99LoW9SAfGAT8MWoTFk/LAjajVibWbYYj9lOmweW2WFABYRvSfpc81j3ExDAVxaYCymNIKJ3Wd4Uhn6NzXQD+Bx5TqsXhmZU73grzLHy58QJVys9fBczlhq7CS+u7pJSJxQkMVL2UPEbAw7l+O/84sJ0jEflJp11v7B4mjOYckjrm+MAJfWa3kgRyV4B9mVVJGc3Mq6MmyJT18m8tIyQj9bhmSqD41KuZygwWP5iLF41DLUfwQS/UbX8CwhGRQCBOQks8ggmMhPxw/g1CUmUUw7kVoZGZ+c7daxIvHHwJFVWotaQuQKT6ECp1EWKimOQt+ubXy9sML4aP05nSQKY4/XSaLuVCSFgCARDp4lULqhHMJ/fVWN97GVlPBin/t1+bg6TtUwdITWHM2pJpmjoQffJgYDOM32eZisvNdPUClFgWciMOuC7xaWq7XcSuzXh7cxkW07ePaWig/iYG+aU0YHk7OqKQd6+n19Vy+q2fLXur5Od1M51dLZz9OKzwKOS9DtTVxJ0KD4gmVtVl+O2D052B+EAa2p8F3epzsM1G3SkreZCDPaFg4gXt4eA5wW0Mp4ki0xTN3DyccBxh6LjyeN32jWQHlLP6IfVoHYgTUwLpjxsZCuk9u0g42L7c2KZdUL/ii5k8ts6zMiLlO2h6uBv5Uqecu09DmHNMZEIkRufy4ZosmcVjq8fMZBdS86qhoxx7wWTCavJWllU388xbQZ7KFsqxq1yHKZejcZfzWzy/pqq3bf7bwQsLdpkDAS8nKbhiv0BCu8zeqZPyQI8Y4wtBdSnaFyqcziPoZ9FsYPq+aecm0rA5o4oX3wV18udi/+ltqPO0+KAc3Q7H5aN9x0g2wHZ12EVD0AALelnjlZkcZFNRVHOU7myZJeJaOka3njRgQusds0CAGIJF2BCYKswcP0OBWGqR7c69HYTH6yiKKBrwnX4Zf38cm4hX2U/Q9hTM8SgvXMUl1XX3EKLMUSEmDgpLFlU5lOKDS86Mpis8m2HN7O9ypZQcHlhFkoUWf4+0GQnbuwbFcUkneaXTfv6wsYZNyU/j7rqs8ZwrBCMgRPCyMT8seeQbT479/eBpakoxYVV1JEMnBmVeYM12zDSPRgINUkGW82nFc6wy/nHVEtRJB+CUH1OywRrQ7Ra+zLyms1flfL0zLrV2QMrk80qGdvYCTlIlJMhf2YnaXCShG6jvFrBqhMERpGfKcULNo/szZ9/Hwy6yQWGWUJmnRWkCsXuRy1vMTkRBJpwOascGb3NRu1JH2IiMXw+mQBK0E1bZRdmC7G589ByZC0SinCjIiFQhqghLY3Gbtjwgio5DjJF7NAwQtx7N8jdwgP3fTbP1mI+VTWedcYqqUQwobZhzwJhqPearm2i7xItfLkVY5scJ0lSvSdj/KlcFaBLg1lny6KbcXrm2f6GQUhy5eKOVeWvzc+/uNx+XHzPxs6FSnv7KKKNLv9pCzN2K5hlRnVPGG3ELYuKCjslyRdcmWmi2TF/C4Qqy1K80tiNI9MqHxLt4YW8gW79mmYVnHWRYXZpAdoP4DfR0TVhDzx2MuepNAZGeCIpxf5R1tc/l60lW6KIWetbvAoHk6wEiflx+pU/KGp5ilEPpmgIsopkmME19iheHWXDsFlN+HLVLZUg28Yo6HLiof3c3FZWDWKVg2RxL+G/8i3J+bTU74+ToVUHd4PyuO3eHyYvb3zzMKf/+w2PWLrykeJ0bwnnFq5dhDnIQVgdLQpstFM+T1p+8FLwXpUWWyBYuTUbHnZurmgEEU5jTgtGnym2qi6CmiSY+zXj52pToCe4FMQYnaDgNBzSCxXpj3mUIAue1B3N5WB1CMHFK5GgEbFhjagjS10vWPiUAR+kQUpshxiSRgjrWCslp8lOrjZcOmlUxvtDyOOkgbQg58x1GoSpKdX0g0TJ3/Spr92VRatPVfy0Ki41B1NnCORWFAmNkLlffNfRZpQK96WjczoBusBtmrbeB/zQQ5wAtqAmiRrcLYIQFPHECOgguXRaI2jiYTcKXaoa6dV/2mYOu92oOQx6as4x81yIkKENM0tW4V6z6QzASSItmt3BjzN/fqD9pLfVH4bbLbBr1y+AEt21Ae5IrBtkoi+R/pgSQpLtm9A/Shtnj0N3QJmZsGYlzTY3fkMybeRHrgIUCAeztAZ2w8LAn+fu3UlregxnWNckzt1VvgXeMZF/W9UAJKhEvbwV5ShmG/UPGoUASONRgV5AdWD1fHFXbzRIb4rmEVQhwtxQHDN41fGhZGHUgJrNzz1gVXLQEWXEAnnMS8FwJEPBZL/RBdJvIJxY8tV+sVIHKMnLgXZTKIUFyy0w3XZ2m1GyOkwzN5xHnfJbFHIrQWYRQdVVCVBLgvfCbmMakJPy3zVARm4ew/yWmyGdoMzl+9cZqcL2NuVk9hCIpZPRne1hP7qCfS5vEiLfS7368x+0iizRNfqvug+PiVfnMM7SkTAykYz43reLcXtfg55dDwoo1vr2YAQkjhhMzeDEaDsX4hnNz9r/ddmQ16/Nwy+/9uTS57aFdEw/qC8xjna7GNnXNFBy84C0LFFmtMEDxo/XxYPIGFWi767+6DlSX8PrZmTQ7+MayWuyh3kWqKv+Jx6BpBmEd/nW00H6ZVny8mWhdxpWufKNsYT0leawsQWUqUdPtJMtTfw89bE4sXF80TVubRrHVfGBKc/axgOzoSeJ9cMpETz/xF9SWrAA/y37EubSPGdm7+uz7Ya8JoIDfYWko1fiH31qHO5kxdDuK5BYBbo3ZDNfOKlXZMKRomfIkpo0FuXxE4Mvh0HfllSZ5gsZe0FAUe9YVemIGtpiwmTzO/CAMtL/nk++de5zFimKAuYeGu3nAfKJjnne6K0PqVcqm6nQs6NowgHFukS77YQVAq3/rV1jIpVTxeNSobU/GtkDf2GbfhrU4KaUQmj7O2YGkACzoWdlGpvZV1pc5cmNdLdPxpkShEAmIBuuFukmGui9b0DChibxp03W5V7vEQk1gQdWE/vv3IurXBlmqH2fb4dJGu8DkyTuUdJUICM9uuC/uYXonvumpGTn7BE94m8rgsp4Ndx3xp6iZxP6dnaj5cx50Xyuo7RdgLLBTON2BRS9oXfktDKGdOnuZq13WOamW3TY17bOwfTtWrFt061SZlq13Y14wUSWuEpC7st52hZFy/AR8owiyWZcWsenAhI7M0Hx5GVil1bmT6sreRHcdBhIkvJiExTtNc7DnsG3ndm5/zGlQcAz1B+MAvvMiT3gsiK81K+2J2HE/V/vXl77bol9xDv8q934lSF1hto931vkKYqqXmT4VUEdFm/cqj8hhagJOJmpMWOHCUw/YrigPofM0YzikOrvHx2p3lllK0yHAaD6xWN56TZoLaZj7ABnmXADi8bPsAUS0lQp846igGbo+868KmFO6/wl+8pg+Aslw8NcjaFJmQf8U+76/5HlzKjhMpUWufuv7b/c3ZWT4g+yzsPKpPuHRkS3S5dRZsIIrH8HCiNnrKvzuJJ9jADSXtXIc5Uxfqf7neae63+ns5jVKglw9F4Okb3DFDkgGjldyShCa95r+N6MgtwVOSTrVqK9M4aHFEE6se0ywYhHCFopaHAO2MLk3C6u6U/v2GKsfbEJpVHxRoYHflTNXDijhvqmUmBSTME42lrco7UuwWDY3Jhfw01peNQWMY/O5BxRwgtr0lg9upK/m3qUEwGzxCWdQYpShBsSsyVTXJQbwHjHBazXTjTwnnRYiPhLpZXk+mXoJgtCyM8MDSVZWOCcrr2uNIBa2rWT63rFAyaI/rSDdiQJT3FNdL9xWG9sxQoCyEZvLW8UnJwaxtKUuPrxvdZpIVqDpjqJXe2C8jI/nFTppRG0xw8Pi2z2SVJpt3Z8ipDFkDLNeHlWa2qVl8xfGrkTvgL6rpjWD1+phs7xm8AbT06G8xhRa+cKhF13eRvw2OTHxfDoPFV1iXgd8KzRyWrRkndLSHY/jKA1ro39PyW4rEx6KZW/pilwCHe9agBEhKVMbLGBAjDNtRtSWq3Uz3q9pzVoDCAxQB5HIbt2Litcz2s64lU0BtBKGg7tQZAQ4U9KaDy4ng36svjTdE8DWIfu8vaeQ42R+vmfSXXXW5DE1dF05WQLm8nVW7Q0KZW5kc3RyZWFtCmVuZG9iagoyNjMgMCBvYmoKPDwKL0xlbmd0aCA3NDAwCi9MZW5ndGgxIDE0MDgKL0xlbmd0aDIgNjQzNwovTGVuZ3RoMyAwCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeNqNdgVUE2z7NyUxOqSRSSi9jQbpbkkJqTE2GLANxugQQSlJSQVJQUIRRVoaBERKQkI6lZSSlP/0ed73/T/v953zfWfnbPf1u+K+4nfdZ/zXjc1EVZ0xTnAtDBonChEDywPVDU1lgGCwhBgYLA7g5zdH4jzgf6EA/jtwrDcSg5b/X3p1LByKw2MaUBzezBCDBur5eAAhEkCItDxERh4MBoqDwXL/MsRg5YEaUF+kM9BQDKiHQcO9AfzqGM8ALNLFFYe/5V9HoABMEAiRk5MR+eMOVEXBsUgYFA00hOJc4Sj8jTCoB9AMA0PCcQH/CCGg4IrDecqDQH5+fmJQlLcYBuuiJCgC9EPiXIGmcG841hfuDPxdLtAIioL/KUwMwA80d0V6/wWbYRA4PygWDsQDHkgYHO2Nd/BBO8OxQPzdQDNdA+BtTzj6L2ODvwxEgH+3BggRg/w73N/evwMh0X+coTAYBuUJRQcg0S5ABNIDDrytZSCG88eJAKFo59+GUA9vDN4f6gtFekCd8AZ/EocCtVRNgFB8fX9X5w3DIj1x3mLeSI/fFYJ+h8E3WRPtrI5BoeBonDfgd34aSCwchu96AOjPWN3RGD900F9nBBLtjPhdgrOPJ8gCjfTygetq/G2BhwD/wVzgOKAUGAyWkQMD4V5AuD/MFfQ7uHmAJ/yPEvIbxucfEuSJ8QQi8CXAQ5AIOP4HEOQN9YUDcVgfeEjQ/1b8UwJAIEBnJAwHdIK7INGA/0THw3DEXzJ+8likP/AuGE88CBD8+/Pvkx2eW84YtEfAf8z/DBdkZKBvZmYm/Kfgf6vU1DD+wCBRcRmgqLgUGAiBiIsDZfCHkH9GMYYi/84C/B9fXTQCA5T7K1l8l/6VsO/f0xf4ezEEgf+MZYTBMxYOFPgPwW3BUmAY/gvy/03zPy7/N3b/jvL/IPh/56Pl4+HxRyvwW/1/aKEopEfA33o8X31weO4bYvAbgP5vU0v4X+tqCHdG+qD+W6uLg+J3QBXt4vHvJiK9tZD+cGdjJA7m+hdV/sItfi+YBxINN8Z4I38/KEBRCBj8Xzr8VsHc8Y+GN56Pf1Rw/NL880pNNAzj/Hu7xKWkgVAsFhoAwI8YL0kBgyD4NXSG+/9hMBAkhsbg8C5AfHkhQAQGC/g9TylxIAiB8cH+Rv8AknJAEP6d+reMHxgI54qF/y8EjEf8MH/kf+QC88Fi8Zv4hyv4RP8l/1l7ONwfDgNMjmNgtx64vX3w/rhSlcNPdGVAcYR/xTJTUDRoEtvkc0pDlib4Ojt8DnukmtbbTvd1SVPgUGWK+yJoo/4dWVRDiknjWfC5Q7Lp8EojYGKI+cPg8w3Vqi4uCk5Rc5XV4Auv4Dv33YnrCVv0+PO8fGRpjAsYj/06tf2rusqmP0WOr5isvpbWpzwv+ywabxFne//FKH++07MxVh5SnCgXuRDDrj/t6OHRCEPu4CW3XrIwIGQzXqIoyGZePOFkLHDmpbm4dysbH5sNKxfxIcOn4RtBauvpeixfgkqKZgtHbX2KYyS+thLYaYeOL1LIKAQgk2XfKPcQX191Wfi52UJZ14cW0Y6umEp/vnohUn6vwpNIanXtHHyY23OPbjtonKuMoeYtT8v5cxn143dPri5Kx4Tp8V5nV1Q8vJnKvYt9NOXLrTTFrX3All5xPRJEzW1CrUVj+C60CwFCXeMQykc+EsjhuY4sbcsF6IdJMSpRdRWeUziniOjZl1c/5GAjEdkdtAu3LwAErrGwsH8W4qDYqxaOdnctHSFyu+233vTVa5OIYtf9hkjKqoNy2JNPv3qjYdd4UtDKR8UDY5bRKYI5Keljj7gZW9kHuIiLKeLdO9JXY9Mct+JtXtWmdoAOEs0YqCnThfqV06pJ78GCyZZTVyy7XDDNydvJF2PsHyveOrUhZV3h3sfNlSa0yNMHvQ2Sglr5ySeMvnUfj56GGVPd2V4pYZ5IavVEuifXObrtjO0uO7ZmVbdpllsIYsi3v1db7lK6qRkhHrVNt9ZFGPeax02QNhR/hjrw7Xyje0Xd66PhzBQ5IZFgQn6UocZmY4YI8JGkWs8p8W+fL25YmBs2OlH4lRsHmeD4vJhvteCeJsMyoptVr8TPcb4eMnIPMHFzesX8yaVgaehVPl3+gUuv+cfGurxVooYMKYPrd/zdB2ja/bs2VWbfj05nM9rM6Um7hu28WpxSdFWdqpwb+EQqT9fCm4RxGvdtmGUCw5ttL7gPaPO3CNvzu7jAKb3rVw5hxq/VAoO62AsQBIpzxzXOkNjvM9pPbwZ1QL60qjgPaIQGWGGb0zQqbtsklWj2ig0mfVXcSBHgty9pAonfaa1jEaxrZn/2/XNX97LA3O4WaqeBDdHARnaFgdM0QRzM6jgbU2tugDoAER4tmzAmGDz+yBlOHag/YciFesPdX/SmKHv3fIJC2P5b3bivatV7AEaz75e2P3eZL+fmllWtrr8qUe++5bvc52Q9p2NK/lPq7WUtG1LDJBGpBzvX/fJH7L+lUJ0wTXQWTfimChAfDEuKiBaGw9t/vB9pLCRXBpnGLG1mKCdoVHnBvdrS2+mfxZdzkleJ5ueVkPtrbm0D+Q6/ZsYzJxUISWDeL1RkhluPCoODhI3ETi+qw7qUBqOjbyrm3a/t1tU74+wAIOw+RanzeHuiwyvzxMMhFEESp4qa51NuFRtEkoejNkYfxQEErw/1Q4X87jco/yI8YH6+vs2b/i4vkkSujP3WAeAdieoVwafGATSUMtEhX+2rUT4cWtvZE93ip7H5qS8r/UNR0u2kCnfs9T2IuQcC7yQG/Kx4zqNZJEurTXecv9q13Fnb2awW7dZEs/Y+tsMs0zHJ1p6W/fLpmXCRXQ4ftMvqprG6W+qUNpkqXBggZ83H5nRWVvNlYCgtc4eGNvfLBqfOqssXxDlth7BiGX3AzuV93Erfp2y7FIlvvyifWIQMYc7yVeIo9u/SaM/Y+Rf2SMm9fVoTgvR8AT0gO8s7DuX52AKcYnTuoqB3sMsZhqcFFZinOURPIwY42R0GdpOLpW+0Womy72CXYt4MpB0rLZfTckveINfuUsYW2QZLZ5XQPOkxEIT7tRezJn/tyFQTxo6qJcHWpnPyJB62+QKyMuavv3spDw7yYTMAXOsoGFK9RjbtFhLkJWFpr0ZQevPZjMAFI6t1EUGPKxo8btlpup5otqBM4MNwQjDVSXVBtJlh08VdWZMWnYhMRr9bGvuoONlUN5XXnSm4kRJU7f1acR1lG34/PK3Fh97DXtvVqId7glTlbGNegDMjyZvan6TxVPpqyiTnGxKnU8Oo+zcZhL6T19wkLivukl5RXl7ZQLeo5tUHZedUPuEWaXwCiQ7K0jyK3hQbN/VHGUmyNbjPrQowEfgxZtV7SIANT+jKiFtyp1cXbDUJYtmqsIDLdaJ3c+RPDj0vtvpxWwEzFOxzmC1apRMAYdCLX1CHjNe1ZketbWWAuxpPysXSt3HDuvSZrJojTduEfZQxdvfjEV2na3e+V4yllM+6ydyBOkB7W/cPeUSDeLdGtlhWX3CI3j+9CjiSX+N0up0xffeHIP22zqv3ZKOqVkRTmhuNqZ2XL35auOQquFd7vSAwYOuoUitfHf8o5PZypIHelWZcN+4mFd+VZpUpeZSYWCTIK4O/zNMDqBYG4qC2RXxb8dGDXctootHPXdl96poa7+tvhyJKlaLaWhPiwW4fp9e2xN2yld2R8gndXrkrzy2srR4mf/BWS5jHiA4wNMJ+byPKJhPFlqGKUzEbDN48GsxFTQsrVpbd6WTUIbXMMx6al9gLPiPK80Q9AfM0FjVbOMus1XxpZuu5e8cqZydNrBjX9FrrY3MIdqwmoN46NK/wHStiqrppaIz/ak/EcSD34UNtw3mT0FHFBOO+HY1BD4LlAwN6c89u6w+eektHVGzRDrBZk2fy23MEbinflkrm5MdOgQPlOXkxdOt9tlLyclYWw0C3WCLTrDkXXrsdIkuv6uwdm7qS5KXGsKdtfeiRkTx14mfrOwE8OTHkG2/deIW7F7t7bJ+MB6X0p94LSFsrS7MbaqK9fVzMPu2nCX/sSX7nbP8sGPg6+FzXzsb55Vo2uLoa07zqfEePT6UieOfRtaZIljhKoe8l7M1ZAX67zBd09FT6ubSD1/cKxmjAFesbEsfEXr4kGWJaFQ5cVqrp+VohR4+kLNUC7InoQuIslUZHxANvp3mtkrx4cc+rMqIwjoMnB/jwF1a3N7T3KzffCyXvVbLZrcNC0ivgSmuVkpOGnhKp09J1utog3aaECSIlxk8BV9bC32KG1N/NbEZwq4ortqqdKG8Xvm/jMY2mrwS0uTj0ioTWnP30EtMMBqIxnwYzzKVvIZWtYp0+SUbMHITgfsJzWn8RsxKNTl3WGgxCQjdupBg42/SHHIhHWu5n0YttSL5IiBDbbrTn7xcqGuKqYu7TmAzesVGu2nog8yDBErJL+IpKiFpDwXgJ0udmdxIzTxmo18x4nJY3Q/r9sRLXDyYN9lxlY4fLHdwQJr9/Xz82Lckg9iasLPawlovgcJbiK+dcVN4jFCuTGakSU5vos7gJ3uDkBKpb9wYW75pCiFemCh6lOR4AqlVUMDUD6GNXzt33YqNdd8ZntIT7/CQYZ3IzlgVNrWh5ueqKTwrkirwDJX9YxfC85XVapPUjNgjKgRFEaoUZvSIgWHAjv5n1IS7PJHY0GVd/xHkizvHFfAodui22VR4BfNDSx5EWXObQdY1xl3Uuqe6X+6DAK61LFAC9JCuUc85pTSBxwiPmQhD6TcJMbeLl9f6MvX7vWdn3FMIDSzOR1OlpyMy6yW8aMvW9zBrnjScV+7wrrw+nWzGaZ4bG4BGwZym67NMjTdv7nZMVZ8ITXDLpHx0oG01+kgdGmHbGUA+yIjUwao+zFYPz8tB8xOJOV+90ZDVbch/sVDOZ7vrsPrXfrLd7JyPOG/mqJWr3JcBfhmml1kyTuVGqsjDtds7E0I7FR3llzCsvqio6S1vaXx+v/ljhzvWKJSpmYTGeI/iIUzi86kq4VN3e3b9gKuL7WuYRraYTQXjXaoONFJMi+6FSR9ZJBtmT3a7xbKbjQt6rja5mDKaqVZtK4p2zpBHkt8eUPWh5vGYFaIc1vt+OjDr0cT8klnQI4Z7uzuEtpSIocjRqiT4FG5WThdM1OqivvJxUU1hULHfZ0L9NAwGdQpuub12PGk0RcNTre/WFTU4sqtu0sK8kAELmRlb8wwOdYVD10/EUcTLIHFYWzvpqPLS/zKcxVu+Nm5/GICtEbrdH395SxuCSUKD6c4u7zrostusey6Y6KI65m9SB/GH5t+Gl64xUTQ8iIS4dLo7A2s9OP67U+KRT1Jwt3nHGmNc7lGvyRb6IBA4zGNiob9x3+k4zTzeQmMQq+ILX5xe8cH1mnmxdSKGADkXaFcJBenktJOaRwj2bd7UQmpcHx2l2MjUZS+j1hxdpqy00inTSMUcbsNBrvI6vSDCGjnW688uPtdVj2WBd87rxpu0CCHrCd1QQWuXFtG9KwmTW+mQc6jZMD/nLUr2ZBD0/D/6c9d89utS5zaJh+sX1gcEZUUxc1DT9YmmpMkBL5PuRynRt0tPuDg/RRX5/GsZqy3mftQ8GRK3mGXnp0TLQvH4pwMowW8+vGCfFRczxcAJzXQksPjsG+guwijW29qqp5WJsR3BczZ2QsIAX55hIuz0m86HbjrleTZ1cjLu3Ym0gwqv5/ZdvRN/4RZ2schitypDCN/pLlHLpTseDp4vtdRcjLdbbGSytMmP2FuCo7h+Gjs2TViKTvUcYosDipxRU00Z2kSW/vp6R0qib7RZ4Oo33jbT0XNr2DAZFn3SxiotA5grNb+iZ7qj73KC4AGnE81bCmwdSgvvOQq7pnT34tjgiinnGmhV4e8DaPF3dbhU52g06/fD9DKjPZl9dHGVCCu1Rv4bMD4ojvUW48LyUgeyB44uorVsAlSpL9Zm+n+4x4tY683SpSdp8G3qTnYejKRm3q5X0he9TcwprTe+LUfLrf90quPxiOUVLM/Vt1tLmClWaD4zThK7gbMw0gak4ac38OSSn+jlwRmkHux5xlJW+FRt3S2vomvb4ix83L5q55N92lRY6X91ktooaRAfrvj+06y8p9PcCrbFCyKPOG7yRxUZ8Tp7pYZ89axUsnA7BvL3JpTpaG7snVTe7vxJasyS+7hkSedGXX9jJ/DG83bz4pmxjr2fac1+gd9oLEMF9uU5FUtULEjny0Zvj6k42IDK54l8x6Bt87l3lEMZZ7+H4tZTIBX/BiWv0nkw10LHrtlut3EOuzYT1B/0ZZlgm4pmrGGoKCh+bacNmEl/1tw4Fv0DmkZghZlFLiaAHl+kLpTWKXW3jfkdiQ3HeXe2mC6LpXNEBkNahytkZhEKfoKTvC+cS7qTZljYt0rjJjM3du1u7zY6TgHmJMd/W47hbEUHpmxysoTxPNpCjPydhsxv9rDruLguZP6YVQX0LGtQYpyACvhve9kIOCSfrVaBHrtO2M8w7fCyoGzauRvfJbpFV1fC+U9WWVlOu4e7qBjFcwu2vM90oJj4/EI5xKN0czKCZVG0ibNMpbts2v0e7B6Tr1Kpy3AtvSKvwBE55MtJci5erxYlAS2HTLwLIJh6nj70smHLzWwKcXxOjP5vsl1ql/IRbKED1T2169K35WJTAcEyxHaKgrj41KW9KTgmR9IE32rCJ1VEOzPsOHDNb5IWU6jABZ2Igq3Cl8AJU8ypVTwqkh3j+aEdZXXXXqfoqhb/VTQj8k/RiUdiInInBWv4VD6ixlqNGgl00WUjO1UWbn8lvBV8mynqGF9+NovH7VtcvJFDO03j3RrlPgXyvEPEz7FOfbdF+iljFzJJqHqy6GtrbZYzj6MFudr/LyPEg+m1pmWbglILT24FyKOV+QOBk1CKHMMNb/H+cy8DBZ6PTIC3JlKT17UjFeumXmDclL1n2Tp6P0VRwIUb7HVKSrDfawFY6pfySlcKG0zrEOL8tVuBQXNujMXKBkBOPsP3OqffQULXCC3t/WLIEOki4JCjTaXA/DdxR8rQCGpmoywhZditesmWmYyB2raewGHajKNIh7OssTUzVNQg3GT+Pz3cVXL9nNDBQMs28VKavRAmuxhU7LFELOd5+QS4v9Z4yxnAz5+lSSHLw8YqNUaNF98+Ejeu8c9Qmn5to1SvTc3RbAPWhqxiOn5TA4ByS2EU+fQgjujvYXy67IXprTO75AtleENQ4qdrpCos+CwhBjxomZRUBJyqfI+Q8S1CySaLSgXQWAz2sLkTf6TLF1rSdC9ZpHoVxs6vqrV3ll6RQmB4KLfEYGWd0EO/bSrWsditrdDa83dHCvUwQu2I2jYKXcrTzdDTNUQ4qFqAIy+RSYmH7iF6n4IdRynNUK2k1AGsuE1KV1ggiu6zDd2zG4q5FoC+WG+GCVj98p1tSrAG958R7k8KtKbfQ+tlzcnUG99sY4yqEmModG0TjIVRhwm+I2/YysnZYK9y6hj5N6+ztW+Js435ufxja027Vi0B4sG2uNG+oPtlDHCCUoFIa6nR8pdL1ix4uSc0XaTVCkjugfCHGTM4lPsN5jvLiX6hFZz6yqpQSPgZwHAl8ddxDBgr9el4RTS3Ase0nEW377YmtVc6Sak9L1j3JLMdPdq+30oNTfCOXIqbEIS2CiZQ5Fw9znZukScRktBrc1VdB8wSQCT0p56xVVni2dsebmFP2CK/wivT6MO4FAt9wc4651rkco+7B9WAV2yZ+4g9kkXB1h02lDkY+q0NZmNpe3U1EEFVRLjrX5NpbG6MPWArTqkR0bnGIaVMSZJZMLZB69dsTFoeh7LgvT9fa10RpR8g1Cw/d3VYHN76i0O48jzm+SL1wOwKJx4W+XHJ6lHioWfFQbj+at00rHWU9XboWGmyk4fkqw5zTXNqG/8fZkA4FjO68C+dWthcokZs9ZXsVKJRKVwUCN3AWyZly3c36UCDRMQaah32TnBwv20om0J89f21fdY9yQcJph1+NXYWvzNC5ZpNPVmDDO+WR8UdLWLH15a68eNqw0Y09L3qS/q+SmYdJfPmAkjvWvlXtH3RqSOtZzIDhbNpYSmHlxPJS6d5lpUXvoN0btRWlKtRWgfRUy2dveZf9GXR0hDX443xtQi1vxyvfIZfokiA2otR6OHI/W26IkCwPcJeHiqexGot6Cc+OztjI7AuaGP0lYcDNLpO45pL9rLsq4/2GKYmjib7sG27b493tqbQwBNj1MO8NMEyh4lKWKf8hdUDExAeAXHSf7XvjuZNNjch6+1fdEINZyKcHtg/5COgq1Zu1nHb2PQxNCAPjxbgb+hbzd3WnXxNUytYhfKnKRScH5on4p3KKbt8fUTO/85iERad02ppFuNVTL8QMMNf7FuXZrMcmEVnSa/3wAlrgTTWT205SLWRmYm3QoGbscDdcx5JEjaHTxAWxCnTcbeYM5aAvSdi86/9pmjgRREIU4LkESPbNQ1LWKWUFsvl/ZJjoXvEZ6vO072xWecLr4zekILnkRCdyBSUUUub5qv2hUXJQI+IgTzMsWgVhlDfvQpMvxuXozNNVHcHAWvISS7m4Qj/B7o1tkJRiizMT7bBg6qVjcfB/SjR/6fhJi5dmbqUlKWiAIFHBYrbEosgbfk+IewjzRr9jeLpYwN2xMuz0TS0qlLhS/ngpAtx1xWMuKCF1oV9CWjSK0aN8VJnl/u5khF08EdUYYde7/Rux0ZD9+n5dMTPDJ7a3k+FvdlhQlJjUKvblrXXevc/Tpnmp905LPcXuLm9bvOF1C+WlVQZZC8gT242PzUnxnX6N4e3bboPySR/DWFsLvUUzhzfPOo5O25WDA4oNq9+Ijg74NpZp1VV8vjJT3PrSYPrqG8eOxbdXXnIAQzgRe7Zi3qa0M9fLiUjCN56HW+dlV0L1zSmXZiMtLO0w9h88BqP8P8dlnJSOXRvkva/HmRqQzuNl2VMyL9tt+CC/jFSw9OHh7ut0JboRYcJINQti88/k+nyJr/OuaId1PAU+JggjP8RJNPNe3tpeZWl4Jkvf7XyPwrzIU6HFkCNmbnPkHsZdWVCbkMCYnnBnN1eMeI+bR5N46UMSLaLtR+ul7bY+s+o8v37DslDnHN37mes65CzlDxPCTpe733lSrt8A526PfycSYeY9fo6jlrkAnoXKPu0jVMhQOeJjeS4SViduCnILhfdKuN21sGy2qd3nLTjVL+uw+vLQdMhr7UGJg80Ci4zQB2kIoSfC+LHtYYso+ErwzS22uomZdOGotcz5DJFvt0JWah+3vhfISiwwXPcV4FMiM2DM3mXyb02bhXG9tirfb6T/7Lzd4HHdV6vTL6XnS1JCj87e8NOI0dbmCFTDR9W7fmDbRzeeX1U3zvev5ZW6cmxnX/SJ3yIrYkDie3FgStap0DWX6qJaqUnGawnG7fHa/JqCqR00JnG12jwsl2DB1fzAKFWWWEXLxsKyTQo9lsy6xMi1DcJrdiZXY4nXWuN1ZSqxFfLZnNveX6eVHlr61s9T5xPZyB7MHCcEwD94ORGxTtizgKW4cCp2O3Js+c8Z5JZLiG2W9yeSZ4XIMG9ZTDB71n5Fb7PSq5wpMssULL9HFjOPeM7d344TvwJJOP2ipZqrZhwpwIMaNBlA/jg1LOm/ofbQaeKRVeeilawQRYkwZ1yyV2mUw/7K3KjbTocuT7Ms7zKLs7IWR6+CJLijau81UdUgxwpNfXlobm5kc9NGdE6U25evFMTfW1xieLUttxHKvA+6bv/iMW3Jik0nPVd7xcRz9+V7At0OinJjVkqf6sxP0RIC8V/Qp1RfLQq8lNVnq+lKk9lVL4jPIB9yuGiShyrsBdI0HALW1Cd+PX76PyeOM1kNCmVuZHN0cmVhbQplbmRvYmoKMjY0IDAgb2JqCjw8Ci9MZW5ndGggNzQwNQovTGVuZ3RoMSAxNDA4Ci9MZW5ndGgyIDY0NDEKL0xlbmd0aDMgMAovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCnjajXcFVBNs+zeNgICkgAojRsfo7u4GKWHAgAlsODYYndIdIkgLIp1Skop0IyWpCFISAhIS/+nzvO/7f97vO+f7zs7Z7ut3xX3F77rPGZDZwJhP0RFuD1GDw5B8gvwgKYCyrpEYAAQS5geBhIiBQBMo0g3yF0oMNIMgPKFwmNT/0isjIGAkBlMBIzFmunAYQAvlBhAUBgiKSQmKS4FAACEQSPJfhnCEFEAF7AV1BOjyA7TgMIgnMVAZ7uGDgDq7IDG3/OsI4HTgAghKSorz/nEHKLpDEFAHMAygC0a6QNwxNzqA3QDGcAcoBOnzjxCcMi5IpIeUgIC3tzc/2N2TH45wluPiBXhDkS4AI4gnBOEFcQT8LhegB3aH/CmMnxgIMHGBev4FG8OdkN5gBASAAdygDhCYJ8YBBXOEIACYuwHGmjoAfQ8I7C9jnb8MeAF/twYgyC/473B/e/8OBIX9cQY7OMDdPcAwHyjMGeAEdYMA9NV0+JFoJC8ADHP8bQh284Rj/MFeYKgb2B5j8CdxMEBN0RAAxtT3d3WeDgioB9KT3xPq9rtCgd9hME1WhTkqw93dITCkJ/Hv/FSgCIgDpus+An/G6gqDe8P8/jo7QWGOTr9LcER5CJjCoE9QEE2Vvy0wEPF/MGcIEiAKAoHEJSQBkCcACNrBReB3cBMfD8gfpeBvGJN/gJ8H3APghCkBEgB1gmB+iP08wV4QABKBggT4/W/FPyViQUGAI9QBCbCHOENhxP+JjoEhTn/JmMkjoGiAFQhDPEEA6Pfn3ycbDLcc4TA3n/+Y/xmugKmlmZKBAc+fgv+tUlKCowF+fEIgAJ+QKAggKCgpDBDHHAL+GcUADP07C9B/fDVhTnCA5F/JYrr0r4S9/p4+59+LwQX4Zyw9OIaxEADnfwhuDRIFOWC+BP+/af7H5f/G7t9R/h8E/+981FBubn+0nL/V/4cW7A518/lbj+ErConhvi4cswGw/zY1h/y1rroQRyjK/b+1mkgwZgcUYc5u/24i1FMNioY4GkCRDi5/UeUv3PT3grlBYRADuCf094MC4BMEgf5Lh9kqB1fMo+GJ4eMfFQSzNP+8UhXmAHf8vV1ComIAMAIB9iHGjBgjiQL8BDFr6AhB/2EwQIAfBkdiXACY8gIATnAE8e95igoBBJzgKMRv9A8gIgkQwLxT/5YxAxNAuiAg/wsBYRBv+B/5H7k4oBAIzCb+4Qom0X/Jf9YeAkFDHIjnZ+AO0uGP68LbzmoU73nzrY/KTgHXzZ9z8fnNI9pRF2SE6VzV2aEriJ+K6QPv7iyuqXKeKHxiuvLbaWkgjGxNNXz7y//SNtloYv0t8dw4be9Y0Y5i/YcHRPf5TBQ2/K+e+JuFuOK2YHdqAfOfoCTIDAqpzrx71NH1H8oWhiNm1g03qsW0SS7LJvniTeOsQ0o+Agvsc6bpWAiQfA9ucVMeoMk/nvycoswbu2HSSuYhDtiNFy72s1wVSjif9l2qMBHy7KJno7eke4B7Qjk8we6ntPlM6+6s3+viFcRwxjRt+8hn9zRBt01O33U9ozPE1o9H7MAxKU56OgFcas3YuJVWjRT3EuYUApGcg0WtFbTmD/EWe09e/RTojb6beB1exdQr5g176vt7tI92VjYmGkb5tlXlyIRLkNLqhHEy69Juh1Lvic6K9Y3T7xR+NubWl38v2ZY/tjL/eTXjuIYy7yyOaeI+33Uk/q9SgjNvgI8znQSWjqcFcqZZNY3kiUaNB6hIbiiSrG+deJP3yer2QkxLGvmTpJoIaqIKdwpLFRvxwdYWfVc+ddsl6y/GQ1Q1PurZJzq5x1dpWRFJegwSF84vdoUMCQKktt4X3dnwv1AWuMnPz2sYZvj1cSDZ7fZEak+88sGSkF1XcIIOSnhkiXz1La3KKP4tbvJp5b5SUcb2icx1z48TOmGm9K507hrlt9WeLJg4DVqybR4fVE76Zy5uNAsNo90+VelHombRHSnO6psC/tgEUrvserCgAzatAVXDjX2fy2/LYSI3Rx/lSj18OL4yCj8Pu3kMXeJfuJxi6Hv1EG9IMjBmbXTEHkSC2sixl1Yrk+A0ULPA8Z+lVjEGpvjIXkc4w5gNQyyfRY4/z60p04e+jor4uVH5OkmDN+IbWNzu5Fn8hq2lzCGVc86hZefVzsgIZUPZcwjBSl5eUNB0XuiT9CiBQILHHFaqgktE9wa8nXn7tSuD047J4O4zcroSDdI1iFJAjPJDatwHjYxJkWYUrjTUznN8AuEVx9tGCpNM8/5uh/ZYyiECbWO+oTXaBYy2eGVVOFBejhnBMcPDTPFHqcKtqi1nU2X7u0GxDyTZcLssf1BNO/rYuCEZExB38ilk8+iysgbl4qiotYOBw5PgO4Lt1nucSPI1Wn5VRt9Ec84o1lBdveHkRrFPgdyzqtIznTfjyr30hdXgR4KnPqIlS50cLi0+TsS1nhR3PvFLhIzViFZ1OUAp1NlEh5xB+9ombte4HpezCvNyNvQ3Tl/mccwnv4UviBsmqpvtpK1WwIruBA7lydrgb1km2cVRFO6lRnBv4ASKk2yy5JLn30r8FOewMXfq/QDUXIBTEnNl6meRA+MftEVrdhrkV5ZYvDK0YbB7k1yK16urxzxOkEp70v35ofeW1MFGvZF0BLIya44uO5XHxjm5ZpvK8iP1wNNr0iu4p3dZ6qahaQhXdpNEbFU/OOaL4iNwn5ccuje+Z0gjtM0WNjgfiBWSGRtAv890sxgUa4zMGlTPiRGvuD2p3UYnHiXU4ZRTqZw7BwWp07gLouRDw+5Oi0SzP7PZ+fbpebXjyI1a8KKH+zYVYbMpZTW5S3P+VF1eNz2bd7F1tZYjoQRPl3G+qmxJ18PoG1jTkFkycGpBfrJ6Jk990EokLO69yhjXwvfJRILkgO0wmfg3XLtAj5skFeAThOsE/Ef4Q052guSOvkYHvBiaJJlHH1v1w6TVNHGLCpqMlDO/aV/w4TidPG472ctY9B0lfNtUMDHOuAjI3tm9dFmL8+RZ5U6lN+XLrmZaIbfuueK83y2rYuXIpXC5DMRDBp8842J9PZ8SrTufoSh7LqrH9ppO0DDDtZLcpXyjh9L/fnVQO5dlv8P+Is1sW6xsQFL6mFjXI5xh7yIOCOqjE75GNakHM5r/uIuQxZP5fMb4tcdcnZce1q3+DB+J9MCfwKzcyKfjtNS2390/qkj0NUchtmoG6l1ivc1Rtt1r02LvrGgbU2QbiRPM+mzuW5Q3C8kD24grWz9sc8UIaBultQT5Q2T3Fkbwy3ALou2xbcNvGkHGm+GDz0RbY54KC851ug+gN+Se3Z5+3qCfc0FBU9PF+JDZai10fi4fL8HufMALz+mHf8Bno4skIhGWWFqCQC4KAhTNd6/bK6pspuWZHdaxb8yld+JyGSa1QZW3xd6yzRSXbMQmVRq4yn8Y8XnrcxMl8rSVSgb/59LywVDKE1lldTbAwd1nzQqO8921+E2BRwOKgoYSoYp8/ivR9oJ2vpW1j7EADUnPFl5dWlrfKeTvQ+yX3s4P/Nrn2ZnJ8sZ++66NkU9mZiY7ol8FdMdFJ8t4mmu7wldMd0P2SwbVNQtHi77+5rPrXkz/ifyEeNLZ7kwdB9TIzK6+TfkxaG73s+7843uiAcE6WY6DpGzemSWX0vc/wlx7E+d3lJ1Us0NEL9RsYsZjfZ7BXPzvDzveuktIMC7A2RnIfv2ty6CmWEnyjfINOjhOkvh8eZsoEUj3+ZRXMo8Qm2JM/5b27tR3Hbrni3he96k1eOOo5SYTnh7H3ecVa0jDYeFR6W0+QrjoyNgQKvKIbWi903oj+W19oTNpjyZI6PSxDLOAm1D5y4x3X7c7RRl602u7nG/MsFP6iO6ucxNRL2dLaOZqjzlYH2fv6jNd5pRETCUFBJg82z6lWfpFJZlzX2WSc2vIAWdKcr/guSdklv5pjvd3o0gJ8SXmutEaeLJnSgudPTLtdqBSoV6RAdNZ94HGQ+f+EUJWpXrgKA1jssR5RFE69EteWkva7vGlc/ECqXpaWrJYmvj1HcEMGSOWmXgOJ1gln1C2CYSrqW/jpaJ5r3+IsMypBW9ueuO5iv2Vd1V00Fiw0FPQjdne4iyw1rIqi0T2AUPFtWb/074C1wvly+/7EjWhCnKGAYz2T9UKrPC2qY5KfY84PPLZjduxuE0b2Bjr554xvsRKCAXbGU1oyk7nOn73SrNlmrNmXDDPKT1VWm09qbWlahdtLPkAs8o8XGH/Ybp91fgQWnnwJVnvbbUDarQTceBFqZlhY6b5eqUqwtp4b49FM6GKYMOLLCjPk4gg5YmFRzbBmIHNjaj/Da4/Qv9TNHYwtoPDlhKI5ihe28x/Nn8nQuR0GaQMfuzx5dWO54CEYu/m25yMb2RrI9tvbgoscET4dqd2dBrWv92uH6nuOcCBkuwv7amZ1foBe9G491TxbW9XZnPbjevovzfdPSLuS9PurFQfHHjg6R9U5q718h1QlH6pOmVs/5WjoheVDP3j1aqO0Dp8PnO83O9SK+S8sjRKFtsV1+4FZavPdyEsCFEkWSV5VWHwwPeLDyV1ePd35XhXvefRmraAE0i9Z3QTxefhefQzIyRWYUOxISS6Dd9F+gbAZ8WQre70IG0yHJvTroD7/FBgrU2zzs/7QAT6XB/M8uumJ37fmipvtQXox3fGU3BhVy6x9FlB+r2jZUHQIUM/I8695XvovCNzDrrVA2dF7ORVNlyvrifjQByqVFlahXISgIEPta13yfhWSUewX0xFi0e3WPbKxO41mQ5Ooe6zK/ckXdYrYiPip1sWL4Ia2rLLJ9jG83crg/cjjvHu9fq/EmvJ9Gdaz0zqT1RPpNbMaLLrcXJ9cg8coIBsxrdkz+FIfif79ZZwcfhHezzNEuf7prmit8IgwZX9vVeliu3V2F/zAyh5L0t+cH2jlYLS3+p1OHCxlHLr3KqeDL0to5Yl/hFPgEfiqLrTumCn24y/PjsRbu36sIgQgt2W/74Kj4fyZe8Ig5h3sVIjVLnbQ/8FSS0ludpgd4YeWsVmJE+G8e47HiILS9AcejTzQf82XqSVZeBMaFrJ16cdmR7yZ0f2TWKSSSFKp2qveenUE8TBe3e7zQgsZhZTfu0g75O+w436qRvk5SAnRGvO+lq4AvRtB6HLVgkmuiHVpHX3ejH+40J/u4PlNS8xVZgUZz5Qead1eb9UF9qksD9ifZJjVUtwTLx4Eh+NTJ9cpZHdjDfVPYRZKdnS9As9s8WNJ1OAoZ7L60zy0qiYm1IPX8d9RDdj0cuiAtJZ3RvTxR5MoRVJH6Af4Rta/uIBUhMl7kRz+90di5luQgCMNIisuC18MlpB69C+ShDYHv/qnoF46YDPTEe0hxeja4nJp+FZEyMe4AdxrL3LW0x1i8zRtZ/onM4a1MgBzurLq1g5Bl2xQvLGQCr/Rntgzdr1VUbhrh47sldKjk5Vf9BCS2tfC/+mKMUyIbVs60ZJg48ZK9CnbZLeY3o4ZrICey0/PGp1ptrxOymFr8B20cWKcNHqY5rkIu4uzgda2AYvPrBxVBdVKn41OWtsujdUhmZp/HBs/1wkUMTmIdl060ZKx+mD55JVkiYy7R/zBl9ob+O+fNqfJ0lrpen33OBCLowhTJTMCOXAzrlXRvtzCrRY5pVDUXeYnyd94LclfIXGC3hrC+TvwLPPg5jn71GUFQpBjNG7KtihEowvy+/BdzM3P/stvO3aatrMDrhF0OkN4zU3OMinrvJ9gfMsLlt6hscoCvnUbOTh4ZrsCIn1JOpVq1I64YfvR6acyl69uN7yGrNEj5E3gVgqeUV0aOT3i6mw1osYVYMUq340OVb5lEB8XXiBUFMoV9UEz2pDUyZ5HtnEYO0A+umwSFLTaSlZkpimhnMNXHWGI7JwDlZnv3Gvx9qtclgnxcUBZ+fSXoCsTDvAddss63pZhQiVTybGyrOwRScJJ8Sv2Hs3Aq2npeR09hF1M449jGz+5dfRR0hi2T7KZBhNGtcEynnjeOIRa+7Mp5NkX5zncfqL3sd6wZeA09moROzWKmS/b7SrQjv+zbX63VeykqZCSyUbn8No61uUa65eMR4lTWuQfOmGeyQgOM4/4akZ7wzwkJq2Dwwtsp019o22UtGTtLhIzxONa2IXBBKGjD4rCpVihKuc9Zu2V9Kplp+rNfvApUGfroMfHMgvL0wuuBuMyzGwDLH2pfde1JBSJ5iIajFzM5wFrd89N76rUKK7Ic4qwT6zy/eq5DzfJwR20SP5Yvn4PHVStKlGPbzWZHn640C4WRDhMSXxaXnGdx5zrFpjKwb9bXdhmmQDd8foLV6Kcp404+Bxuu6rkkOT3YII1zOfkztGMmwkNCNfl4KJPgvdgG+xT/5sps0LmZMtVv6Y/3O/5rPeKKkkrXgja1ndl8DBXt3Yk5PsRZPaLvkGJV+aH7NGEyMt+YWG1HW+5aWzNpRUnrFlJjsHx1MGCgbhmWRET9X5+pYBRpK6ncHrvpXrR8HrXMLkSVl7um0/CYs1KnMJ0ffe3ZhxEKYU83NOedZcSK8O+a/YEuib5E3nEj7cmZS0Y1THD799yWZgPl8EsdgPO1yYkHVSBX4s0megT/BwVClecj/27ccvnemx+dxCE1H3ZqYY37crUjuNBw+tSWPmSuxNWCt1fKzbSpjvPjErMnRZZmHWwVpw/qW1OatF97LwwObVGXdf4exLyTWKKDzkOZ0oK8L90xcO1VkIGZxtNKuwJH1pksdXAiYgKw97PFFPlzvBWUk42zPEyUub9Uo/RMibZEtGrEAN5pAvyLyu2OJ7z2zc6N4FTY9m5tvtuToeE9cu+F3JqucLUuQrA+bW51FeSfx3cHyCFUVp0jZ63zn/wHKykX8sxnXTi35R5rPArJcoWhjrzDslJZQTmxW1pxbfRgH8hppWtdur+o41pbSJDvI+vcW5VD0QkcXeQPYo62gkNCeUOlbv1YnZ2GbtQm7RmGK/EqkrDzvOO4UBjrGJ5xGe78IiWiNspVsJMyuaqGOenHDall4150h9b+Ofl+LaC6VltJogYpDHs79GfuDXO3hF4N/10WDevTfgXZdAFKp6lVVckcW0/D1XY7iJ9awlekeDFAEPgAstPMyb6BkCC5x7HbaHqAi7mqYfW3VNzvIw8O6U1828Z6Sj4x3CvaVP8l0EuBLJhk+lwXH5oVaZgEKAsuG6MTYZ73bcZWH3tD9voZdsy37AVkQ2k3JUWXa2j52YBZkBd/PGcSJuKmK5S4IQSO0HF3FIE9xo1Tc+VGpkdlQkvCW2U2ljDnTuclg3yf+RvZzXWOqIdyOnGyXU3fJI73HQHlm3ld60Qno+t+Wbnw82pFldXBa1xb+xCklXKy81Fob+qhUi9VamTKxOSGaZYuq1avBRKdfq52UdsQ96F20ZHmXGLQ5AU6w81/4qnRubMJ7mM+QVnC4ppsmlyULExpzcMy3w+vyNRMcJPIXToNDHaLu7gSLM1PilHRm5DNM5NbMffUyO+qvxbkgbT2jYBqdyaD1KsebdEzz6cbdNEweU1TOSs/THM7KJqlkEh9N59EJnyiLAoaOGoIoaGiEeR4ThXuskbSG1gHR3cn7Sp+TzAOU/f0IVgvxv2B3CP3Tuxwv+0uzHua8f0Iot+nmPnTSUWQaha5tac+imPDH/4ht5MMMAPs2sHjnrq76khHoRsjQ5L14e3eVDwe1vXR4e0bZr1Qm7laADqEHw9Uh6+n5caFvFYWRSs3Nxh6VgVKJU8NPADShniltczJqs65MqcHXFAX+XIPnX7LllDilprpllGxGmA94dsbsotMM3nXnFWnDY/CPm0mMdMqy66BSWfBRtLtOLL8QD2YGyxWPK48LhVh0AfkGJK+zFx5rnFyb6c4akxIZhNzRMuWk+i5zFqjTcXb/kOis4ViJXwkSjSBldSIPCzYIzlux4N0+8EMImDxJMpvxWbtqFafQ7Fq72c2wb4xNkdkbDp1R2eYhKbrCXXWiWGaLrhBmpBkOpZD6vQ/m3D7w1GKRqpkbZ2m4JqXCGNF29ki2v3CufYtSGV+S4suX0U5Z0cktH642PpAJYzdVI2AmoGUpPWSd/1W9S0OGKxJMFFPoiLOUH7g6wHrE6HJ7kUx6OvWDqB6zjg9c3UuI8TgNj3bOOfZPf7Gpz1tGpQo6BEU7zxuvejude/hlaHTkht0shkalUl/pw5XfB+5e8IENkEhSLLS5gJpTFn8W5R/+FZhWxQG2kTGadqkEZN9PsCvuGr8vGS/KmLJU2raglGv6kn4NhDvQMKn2Wh1+Iw1tuLKF3RrdrT1dSP7hk/cq3kmE06YXU+QPCP8WbcI2yhOArbrfPfRY051Zf9UeSmH23ZrTJe5meg91RLP82R/f+KjjqzgkB4xlqfVgf9bRKMpr+U/7Xra3L8h/XmxIT2zqBHPGPF34uFO5d9+K9kCvyML4KumPGmtqNkpJrd7IbI2OxVcqBw9KYvfU6MkjGfASURV+OIezlP2Eliv8aVXgpz/PUTDR2mnFs595cVWUBsVLcU7HWwZ/f4RbvD58E9TyqFE2z9AA0IXgXlVLuPvoihav3QQuPuqvhefEN6EhccSxmpQSRPF0SoCqSP+CrWLm5TGaeiBj+CrSb0Zj3sGw99ZAd8MuDB73n7/L7xspRdlKP0qXYTDCpXf3xPv0DnlWo85Gm33tHHUW9lN4gogB73PuQ3QgBNXlSxWYbe1TOjNdAd0h50ZOl1CQrYZkxEV0lkyIaD3DTKkKv3aoS9HTlUj+YSsR6oQhnszpCCd7bPLyWpVZBkvgaByvnauFALmWI4wOhYxUM3aaXkcQKvZPvaqu4/KJxuj6sptCTVbrtk3f/z5FkbGyh4tnlrgX1nlOO/kyzbBHX1cgtSs/C6e6lJsPUheZKCqTSHM7K5C7L2marUlFvk8aH2uH1fjPkCStbLGMMPv7SxVeXsbcCwTdRPasCQHUj3YfOL2xWACWIIe9m6/QYwMKa3VRuJKd+6AdYS7iozZqEjlaqZ0t6kBa2i4Zhum7GeHKWY5APB/2dYFkhl9TBdiFJl72i4odid4ch1Ns1gZ3bSl9bSf1MSz1v2wbMX052LI7I05611drGxDS/wW8Ltt9A3TTETLepvRWd7asffaFvJ40d5mQpsV0p4bGIG2J3u29t36poaBQb5db10O+xl8NJ3c21vwYZZYNXVZeznCbpo2CeLXtkszPnaaL2RA+Dr7LV9pSz+ObacKanhTSX/+CvjgV9K2wvNu1aRquYNjkynyniavuwI64HTpmiWj9FlT6pAw889Wvjk7/obi22lFu+Lcgrt3FSaP5ELTBuWZQo0n7fIv/Xl/GXEigs4UKl0zIlB45itRCmqMdK2bX4U8mJGaYL6GCvxcrTkX1es62VnUcBAw/qf21oPTcm2Sl111yRXvo6ARN8JZuIWgs0S3PQtaflds79IYkYUxIC9j/3rsauvm09fxbYsxNMnJ/KCpUYZ52ndGX/1FWU2iyhWreoljLwuhJnzd3i59HrrTasx+XsVKyF7RHhnh5fXvSsE18kKC/2NL0hy/WZG+HBL48Y9jVeZY/vD89NOuIqtTFsviCd76L03upGJdK8cX59pa/ZvcyWkjgs2ldphjoGnyCOfrF2+tFx66BEED4W0oF4iOWcMPkLXLw6r4dXHeV4QlZTMmp+uG8T736uI7v6+WN1nrcgnemzdX4kmeCc47MmrgxH+sUHlPrfX/Eq+hVKkOjXg8HzO0GuNq1JIFFYAdkgP9pOYW0/3sr3ChBjzRSJ7V9i+9b22jnAtPVqph50UbuVNO45T/n60fW5SPpRGoHO7VR1mLUUcQndKXpRYSxtoB17bZ5j5xRLLLYecSpoj9LH3em0iX83PAt8l8eC06/xP7lTUjcNCmVuZHN0cmVhbQplbmRvYmoKMjY1IDAgb2JqCjw8Ci9MZW5ndGggMjE5MjMKL0xlbmd0aDEgMjQ5NAovTGVuZ3RoMiAyMDQ4MgovTGVuZ3RoMyAwCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeNqMtwVQXFvXLYq7BSdY4+4uwd3d3Rt3l6DBCZ7gEAjuBHcJENzd3d3t9jnn+0/y/e9V3VtdRe8xbY051lxr0xQkSqoMwmYOJuYSDvauDCyMzLwAUXkVHgAzMxsjMzMrAgWFGtDV1vwfKwKFhrmzC9DBnvcPv6izubEryCZm7AoKk3ewB8i42QJY2AAsnLwsXLzMzABWZmae/wl0cOYFiBm7A80A8owAGQd7cxcEClEHRy9noKWVK2iV/3kEUJvSAFh4eLjo/04HCNuZOwNNje0B8sauVuZ2oBVNjW0Bqg6mQHNXr/8qQc1v5erqyMvE5OHhwWhs58Lo4GwpQEMP8AC6WgFUzF3Mnd3NzQB/tQtQMLYz/7sxRgQKgJoV0OUfs6qDhauHsbM5AGSwBZqa27uAEtzszcydAaC1AarScgBFR3P7f4Ll/gmgB/xHGgALI8u/5f6T/VchoP3fycampg52jsb2XkB7S4AF0NYcoCghx+jq6UoPMLY3+yvQ2NbFAZRv7G4MtDU2AQX8TdwYICGsDDAG9fef7lxMnYGOri6MLkDbvzpk+qsMSGRxezNRBzs7c3tXF4S/+IkBnc1NQap7Mf29rTb2Dh72Pv88WwDtzSz+asHMzZFJ3R7o5GYuLfafCJAJ4bfN0twVwMHMzMzFwwowdwKYe5paMf1VXM3L0fxvJ8tfZhB/Px9HB0eABagFcz+ghTnoC8HHxdjdHODq7Gbu5/On478RAgsLwAxo6gowMbcE2iP8rg4ym1v8g0E77wz0BOgygwaPBcD81+ffJ33QbJk52Nt6/Q7/e3OZtOU0pLXk6f5u+F+XiIiDJ8CHgY0HwMDKwQxgYWbjBHCBHvz+u4qSMfA/LJh/50rbWzgAeP4hC1Lpfwi7/2f3qf9zMGgA/11LwQE0seYA6t8DrsfMwWwK+sPy/zzmf6f8/033X1X+LwP+v/lIuNna/u2l/sv9//Ea2wFtvf7jB82rmyto9uUdQCfA/n+Hapr/c1zlzc2Abnb/2yvtagw6A8L2lrb/igh0kQB6mpspAV1Nrf4ZlX/s6n8dMFugvbmSgwvwrwsFwMDCzPy/fKBTZWoDujRcQPP4t8scdGj+e0lxe1MHs79OFysHJ8DY2dnYCwG0xSDEAfBhAR1DM3PPvycYwMRo7+AKSgGA2vMDWDg4I/y1n5wcACbhv0z/IE4Ak8hvxAVgEv2NuAFMYr8RD4BJ/F/ExQxgkviNWABMkr8RK4BJ6jdiAzBJ/0bsACaZ3wjERfY3AnGR+41AXOR/IxAXhd8IxEXxX8QN4qL0G4G4KP9GIC4qvxGIi+pvBOKi9huBuKj/RiAuGr8RiIvmbwRaXftfxANaXec3AkUa/4tYQJHGpqDh+u0H9WHyG4H8pv8iDpDP1MEWNBj/Y2Fn/8tiZ/dHRdDEMJn9hiCaZg6g95eLC/CPGJAEv5cETQnTPzP8bwArSAfQYBm7WP2RBFLK4jcElbD4A/7l/L0CB9tf0P33Gix/GWx/+/8Kd3Bz/qM6KMDyDwhq7Pfa7CDprbwcrczt/4gA2f5sCdSE9R8QJLPNHxCknO0fECSr3R+tgCT7XZkDlGoPOml/+EG9OvwmA0p2+C83qBnH325QMUfQu9Pe1tzit6LsLP+xOv+X0Owg1o6gC8/hjx37SyqnfyHoimZycnMAXT//vUMsIIH+kI8FpIbL7xb+Qubuf8jFAQp3Ab07fieAVv5dDnQHM7laOZv/MRSgNlw9HP5IAMni9gcEKer+BwTR9PhjGkDZfyzGCirv9QcECeb9WwNQJW9z53+W+q+bzNTNGaSY699vGtA0/g/++58Gc3NPc1OEhVkHU74Q65qQ1vsqYXwPhp3RD1MUO5pfaBh8Fpzb3B5RYJNpKjOC1pxvhZMHu9GWt8Spb4QWiV98jprqYD81Jyq3PPk+G8arTOy0IMyPY/8cyz8Sru0jhCdgUBPa9X1x8tUItIFsAu+QochxcuNGUcrDuPfolfSs7StZGg6b3VHereSURXwumWSIUY/WCyycpsg1yZzBJYVxZSCEo0U/90SdvrmdQs8eeyOWiadD8DuOYSvw0VlnjX2Y8V4pU2N16cQjx9PBJYS8QR+eoPQR2U+RwZnzKSpY/jnv2cRfQJyNTJ+6zIDGuM+aXglUibJv6Kl2H15oZ9nOSQaEUOH/xNhOrC5uwDR0JlXEqmwxjMJwrWazMSfcb7cQWWm91eiysE4lWOSZrH0DzHCRJFYjZ0V4jKxo8XYiseVm58t4nI3kn8R/kZbFtt54ssDTfMZ5kX5/zGjjLjo0rGm4wlEdU2i5pKlzk6p5q/jsv6xPIkvqOdDTPx8x4ex2LDNdEC0oMbLIefQgk4njFAEmAJl/IWLwbcIChYqftT3eJH47gUC1HMYbOxNKgKnJZm3XuG1zsF2pnNT6ojswYRnXdd1PF32RDCtV13E3fscQ1RAR9uQiD0PoQBv2ZAHzlmSw6cll/N0osZv/8hwUUzi3vDmxKCudT/ysJy4qOW3dsW/B03KYDU1mQ5XY43H/IBKb6GRkUqR6ShsGAYyYx9DD+UEi0+ee5InIhLJvXJBuSaqsb9fuLSujgcdI/uG7Xq63Q7JmpL92LEh0MsdCBRkP6/v7C06Hb9TsfuSJvNjuSl1n5AyJq+uG6EgE1RQbKV970RitTuAs31uameNJSKcWOKsz/JTxf8OP8ryxPGEPk9U6LUeO8+laCCirvUtMS0YO2eU6IH+t27n4oigk/1TyTVAvfQiGGl8OMwJqszg2Dc6bIhtq5r2sgsxzolFvaf6k36wmZ2Nebw6uMFyMEj4ap8JBdDppJJdRS+tyotuMAsI31VMtoUta4FQv/aun9FIGrSITaUonYgOCKwsfuW3QwPAbBXIfIDZ39smRLFeELs9vbvFjy9M9FtXP6prvKqoGOQXYU0pDP74af5K4OaiCpW73z6zBrbtFIUNp6iwOCVnBLFvqCCmZF6GekCaghBXqfpe9uzWyTewXwbDxhddnx0sYjLzRjvceKiiC6pff96lCDGsDvcO33maBLZeXPfOUAcu+DW9oEvrlHytMSW7nDQQM4Dz1bn4JBebxP6S9oMccp+pdyAljzfYIB+YUlJnGp3jK+AmyUSaNzrqQDY1CvtrxLbK7fTY2xYXydC4n6ViBkxNBEu1s/exGivLpHa6s2GGsEppDykSr6YM3v42abUeMIF7Ghj7J08rXuSWBhqbVrdd+opj5+hDLkKRvU6HWHwQIWKoDkqTteB5JjJ50KHPVc99hqWpnKA85mL/bGaiBn+vYR2KW/C4AeKlOF+Q9ZrzY/QY4UDD7maufgtVxr57AUVla8uE0n3cSaoahGH9l2puImBM1PhMXynIZnVJ5q0pHWvcHv2aykWA9eU+egz+GHcm2Uh/46NGJ2Ifgq9EYlFT31+V+0t3tm83erkXspurhokB2LIV9Nx2desFMVDkVR+WTy9ZvVvcVgfi/rPl2jkyv9c2pl3+MhOLtVMA/QaCZrOCFGrfA0YkNl8i/LBjwUS7au1lqrBetfLuH/OCSTVuZz6lXE5B3CB5cmUUAc2XxtPY1pTWny25wHUdFz0PGHX5MxfG26mKH2j/sDGDDi5gbHqOOemgCaKiq2eRdHdlIyE01cVwXX6A7wWR+Vw4ubGqm9QqeWZouh2FhKHstW39yOv8SK8MIbhsT43fa7UW6aFfRSWJItljoaTJ558ihoPtKq+LlkppEfsRrwnRSKwTQ/ir8S/YRCsPHomhhzf8LV8UU8R38A9yGQAZNVzH1PPgwEi6mch98RKcBJ2GTpMhYPY0orkXGT9uITsvGD+PfDsCiX2p7A8oKmhH6HckwxHNCj2Lrm+NSHCiAwNfkNjVuArhud3oKSh/OeVJpUiU3AXVbpMnv9ul+Z1kH2Zv9WyXfDmHn3A7h9q2hc5e9slClDAyCstI/C34kjeEWru4JA4+Nbl+VfUW3Mqyr0pxedtod6V6m1iw+BKaBN75nz4Z2iTNcbc8sJS1jOhw0od+aWMYugdna907LOtrZbdcI6rb8ZvvjHm+J27AJWrLI2nrMU1RCraz3myZpK4s7QSZlaqIGjpCfCHeSZmFhXvOgaw40jwWcpeUzzN3qFqzLHPyKLKEdYRyin6fuTT8Jo46o5Ypw9sNSGfHwDeQ1P4/7GJEY9YSZFc8YPVGUg+wE+/hHwQ4tcwPM6YA4bKJe8bNOgYikehg7oPIU7pBAltxbUUY60fMJQsTgVRGUL/UBZCqrwDo+CW1MYCA+1ftIiv3IXIVAJByUWS4CiOk8R4F3yJeazhgdLLBtg2CICj5yC7x0VQI9LwVXdJA9IykpN4286rFDt7A0R1aXQ/yFK66L8/4QBdYsSMpZFQxsfl+TvxEvqyFgqrox6ONC0Z6jG/nQ/wig1qgfb9nLIV77Tr/oXtfRE0JMQjc9q6P//Zr6hFTL/hOwm6IyOKlQu/9K4YOYVxObkRyOG0wk2/u5pqHnxZabyL1K03lejqBBNUDg5swpJXU34jC1NiMTzo1Oh4ZvVBQdl/BEkB97CWz9R4SntYMmpPUqr9YmjKVJtgdKmvktjnlSRXXHNN9Bu9pcmRoQ/SNT5STRJTN+HoMxeP0fWC/Ln2FXcVa5Z/wmTw/foErv8tuc8hvdlCOzJ6MXnJms5cYuWqMZhKtWywWFQkbTnEZvqu412vqoD4xvwMhKub3WNd7zs0vRqBP2SD8mcNfb1A3F9Y6oPN348l2PesPQSaUPBxTo4utmAUiAd6wiw1y+OfSQhl+/4GfXBCYwP0wwMMpH2y+4x8vRw2Wiz5INpIwNq8r7mWDezWB/V3iQL7mZGjYua3uak93bRIUIfIBa+36lLLQBWf8m+IDursSsJxW42mqP7Z97ynyT7V/DTrU7udIp2dhpgQBWgMv+AuQpLdOycihtS3s/xq40VeM9rcMyvqB1ujV6Dghl/lgz6FHV36MQI1jKxggxNG3SJVXeRwdBr7BriHIUyuKL3h0Z6lJTHbTEzKg2uNq/wQXEUmq7vowLT7HZc379lgEc2k2fSn3FmeODLF0wEjVAHwEOmN3YdCIzMCh6RRuwZeBlKwQZOIg3dKE+FSujGSx6ct2wBbUJ6rOGCI+3pvPCmvzKd6rgW8h6sQ277Olw7yfWCP8UuR33Ule0gYyVuDdyxmGFOTUFlUOujbZ4dKK6Hig5BxEMcFF98n8vhlFQwRRMJtOwHC3f55lB10e5QVBipvaRMTfeKvNnrE2+93ukFY/eJrochNFkBBQeWI/3HF8dWzYFfIMUVJsoNYrfXvibiETBjxm/F+URpR2WtaYFBhzXa8Q9rXyvsPOYLJQMZsbq4sRW0c5AOpCi5LGMCIHNE3hYYBkGEg1qVqb2SAv+TA3pqx34zoof1p18rs3nNRVk6YD9sFDYXP3UAmEdgQnca9QvKNd8Uq7o9jLs4MSTzWH5aSiEJeVj5Bm4hxbneVWFYGhZY6nXJ93gGnFKnF4dGxXOYddLkW1OcOfLfNJJAMUUwKYG9PY4hgrePoF28vuVUqBws/tQ+Lpe+wqeRSAtbC55h/yBKlZLFAJ6AmWUuyj6yCFaX3DmOaAk2nzHI/UrtR2tgG7vvSTPfl3VaZcpowmXOPRCKIRfeXs5puoltXj+zIiM/7hYAIqKSagnvJGJfcAP2vPwquRa+AbJd0eEqQ4iNDXZmOEoXFgkCarBh9PfR1/XjByQBGF5HioiCq189iRibHhE3iHIsVTcHZV7OVAr40rGkzN/navSZysnO4SgV5T5zu3rv3FKGn02dto009+jWONgSd3b4rm/KbpmeZLUAsPup0RkjohK6WDbisuc8OuOqhO5gSJAW+BxVKNFweE4sH8+KuTa9ucKCpx11gc+z7Po197y6/Rf3WyoOzQwCySSV641LfMWMvp4odRwN79YfZZpgM4sMdxMKWYZ2n0D2izClvzqD3NJw1YH6q9+11vOjfWQBgzyNnSRoytgJlu1jv62S/EeHIwoHdU8xmhqbXBxQrM0+aU9ROg5JO1ohmZUPPAzNVy4xsh6AVxvZB94xSPOuD+RlFe/CfQ7NUkFu7lUzAVQsfF19598jk8YylLZVXCltv8sgIBKWoKC9AvhvSLqW7MRunBqlMM7T5PBM3Hk68m0dEVqmdiVxusa10FYyeSQfitjUxMG4NURuEedKs9YvX4atSBZQxv0EdlI2fk9GNfIUhiG2IwVPT1ZxnvwlMaNssG5Y60PS5e4QtGmidHEFaGjiInsgk4C21Ekxztc6VSiKmNINbxhjkR61FfOkhrV0lC/flixjQQXVqKyJBsGL+Dm3iN8mumYCrkeUI5wMXFvQXDFD5/oae0lF/A6/XDEsOm7F1km1kG8LCVS+to8TNQwxMTUvb2yEwRtOWE3+wAlqNqLI/GgiI8m3mXPNdW3eqy+FhupnnhosbCSN9cqjoI67vlSblfQ0tMetjht+DUMulAsX8X4iGDufs0er2uUdubDPQTEZqX7WvIa60vCcf/++s33OddDwpE9c9jdKLjWNS3fODfrwFgAx+gX2gafxNQLV8+GAVQTrNmuSVuIREqN2QIASZ/y94PoC++aK2wBEpqvnroZ31ZXOCi3Ol8J9ciEUIwLLT9DPpOjc4ySW8EGj/HNEtt9VPcspvH92rej8t3RAp5WW2IoWQoDo9MF5T1DMAIxbdBee98H+iRydmjvox0UmxATm3MCd8FwGTVxb+Y1LUNLVdJVtZUO8fbpxBGLFaLnui/aqYgEqtinRjwZaKmLtfkuELBRyI5v96b8fb+K5gXFJgKnr/UrH27TduB3OrDT3kT6JQWxa7hJ60gDilwnecTvVXFpBtAn+0S2PXkdjDcOQy324SqjxChTDfH5X6mRuW7e0hVS5KiaKaYMWZ461CA3Kjh5IL0cJSIbL3sF1tHO9daoRD0h/eUUWmgm+840dqHjVpNuas+IFJlXSJ+qctOuI6bwhAF6yX3F56gBA70eaa8jB1433gqkbInB8bl0xtpn0qSk8LoRxertHuyS3XOfUqhHNzayaucrcW/YIcz4NduggHWOBtBhHM/mVk5PKJ44DE0eSGXDlcvG1+fXAjDOi2FvGCWLRcTG6Ze04SiYKph0Zvud9B7JOf2bGoV2OXVx/q1XwhOv0zQn977S214ZBQENafhCOAh5n9+EKWLSmO2tzeE+1fPHsonh66OWoOBHfSCUPZ8u0fGjEQHukHndmULJUB7ZbLjNHroEvFrOa0KvvBfXJVYhxPGAROebpsnHeVST0F4LHA3uYnajR8SRC4dVS10dij2OvSPsIbHldIQco77/rCJDyR4xWbgz+slbjPqO21zz5vNBsnijIiAF5qSJ2kRKgefkMB9dGmz0OobVaVA+Los0XAbb8Q5/rRa9FTgc1y0358lzxEKNaB3i42mgJAR3M3c2Pam1YqlKS3AipZVyZ9JtThlZ/A6q4MpKx1CxaCdfQ5ks61CGr7cMr2QQnA3NiXNeVitQ2aL41zD885A8WhF/9eOX5wNUpUaz8V6rXTSZMIK2oDgAcAcVR2ZgUUjbQQb/UxEiAG9nASZ7wqJnMVjYa8xNA0g2dnVAwP3GTlkpxttgpkgJ3inBr8xi6PjJpq/2J7/Ip5+U66KL8fJGGK+lDMHMOzuVcXiWfEb3MXY/EM2HP/tuCYjQMcfJoxBEXujFRENzmIjZ6q5qNqK1ZFgfCMjsuF1Qx6ksF62Pp/Z96pF/Os3gC1aXqBo/WftRPN/CaeraS33VOUTUWQujbHfgR2NnBd+CUXeA0dwGrGdxXl8Bt0+AIKbJUM46C4h4N1/X0Vk72n7kwZTkc9hylR//vF6NFS7NxjfGHmu5ce1CXz2+uxOBm9n1tWvpxEzZBWm31Sac8DjUUJUu2CsKPKHqe+iFgM88/jmxWAGmLBtkHwOBNwaVaOjnk3D6eBMSgmIUKQttOeEJ/xen4L1ZHOaTJUaLtFhW+xtTB/qoCssVjkrnQbKwxlvfgxC7SmaOVdihnUkHmWvHXqnoC9G6Bgc3H8QTQvT8VyUWP+xZeCAupRqyTVceybmNjnnr8C97YCTzw8cr7lBjO6cAlHnbtCaSKFTW9brz13iCvkLtdPQ0jKAWF1i/1CrxGGw5sUrJMVVaGiEF7ggOGtGfS/TpuB439z8m09g/tE1zksp7u8Zm6S8Jy9DoyyVmwDgHRNNK26dUZosa7CmTSLehF+JgK2skZFSdf43cidapeUY3jWRdnPmsjhaWP8M3CicSndqBImFyITFTmRzPfR2AA2Wvlf0jVZowAUpYDmAQfRNP2x2UHuLAeJCi96h6unH7fmcBKk5b2u3YC1fLpVwQA5FomCWLsLPjajyON18SusKscs8JvOhagVzGsgT60V7OZdtHxEn7l741XvIPi1dtkUXno9jIk5CbS2A77tAVR42jajRMaZdobU2OEy9CECQPj6e5KYy+ypSPt2g15KdmQS/FZtVZxl26dTUyo2cZ2rog2qIKReeROV5EFoaaVkljNFIJLZNWWNYvfYoSdPyALUKlOEfMfjUabTBq4yCNN1kEIrCC6hadhInc4ZgnofDwlXZF3syabedqg9hdXvnvPC4lSK+h2RNOQiG0YgmP2l8M0QKm+MGkTQREL8x1T2ObhMYL9SmCCL8PfMQnk+WKIs6cPnzcH1Cxjs+wYRVOF9ihJAg2qFnZx1Pxnvhg8S7iIIXm3tJaeCWRyvOTiYiSGX/lVoHBZCz9FAlqT677zI7dPKIMSXw1LX9FNZNqDcRAN8QH+WEePy1C3SUVto1HYVY6hWCzI9JNdzAJTnjxmwTdM0bU3NEpHQWFIDF8wq3uPWIrXKzob77E6OeyewIck1GMHNSyG49YUwJ0sGHBdOwtXjNCRVir0Jmx4yIzp7raxI2tSTfwZYQMRs/vopMjkuIvRuJJCgoZfItvVDTknTnhzcjfWcfclXpUmL/Pbi6POaGmYDRivL1Edu1MRDDCvRgICM/av62Ls2fZsQKg2ntPLJmrZK5/JLN/sNvGXFWsgnhdCMP16PZQdKNV6L9HsQHzNI3M/Pqm8W26i6dMqtuJu4p1MH/sHdtF3ujl5VzATPp1XjBjoGoaDN0AjhAlaltkvF7vhH5nponmWi5JnsJqgeMClnHPKXOCRVyrbdyKfcsUgrhYDFKdI+y+qDPvRdUV4bud6WNlNKgP37bB4vcxN4czNX/gQ2Jz+xDF24mqzzfwNSi7vuJvZepWROqslaC/s/6ZVuerDanMTjywK8qPpWM+Nn+K47C98ygWyBPqcYRCelBqc84nvd73ML7AtGDD6ctRO/NNhVpZSP17Xb2WrbBRxAcVgYbgC253Uc0ESN4m8u+CaAZRlmV1WE/aFfOBE8OIjpghruP05tw0qRyO90ZeVy29npM7VftVkdXMWDV+0J4wgT2t1GDwH7kNcHd+EQ+dQfudbeUaGJETmxuBTadQLDQ83AFyNJC/fnrGFxfi6m9h8WINp90nTbhXpmVtb9WLoAWTf8VeySgubzKdwera5R9vuOF2zknq7eWawnQ8597//trtiyAveFVNblDFeWWeRVPRkKhPXCJ57sPJy3Os+fkwqv8tRL5dZFMa0knGunHuS+G587TJ2kqy4UAdNx5vCzWyjtC20zk1hcmx99X7X13ulSgQJwGRiBPlRQCSNgznnCODqx75h1xu230IVjBLmW8i6zBkhwILk+v7gXvqs3TXhoOfNJK9+zyqAe4y5T4ZotZ6n1ebRxdGMzqdoSx3Y+n7cR2rxrUmfibBpLdlfkedg2PnQTYjObc9N5yiG7+zQ2Np7SHNxeSCPmaljMKQMaOUxyq1Hru31YUGX7lWbo8FBqqsvBHFHT2TONIjMmAymUvvv18mqvG5gpJe0szku7cGm8i2pkAkSIKuOWP0mkkE15Uz3QqP//wBUOm7Xk3Zwd4VYiD+folJZ9gSaqeaiSFrtx/VuAruAjDIsX6IFRWZp7xdNNLBojvUVdfpArb2oU0F2WOVGlF/04m8qI8zGzBZA9G/P/1ZKWSAsnSbK4sKYdZ4uX+MuHVRMuymvpDmHIux90V+18Fz3/sztU5zCPJ78AJyS9YlIa2tgH6vr2Cpdj8fNW7wX/GAu7yjkHaCpUZT++8lEVd6rYv5GxvT3aNy6cUISRw0d6U/Yr7j8XYBv7C+Yd2lXeofOf1eQL+mELefvA3PbGWBV/vRIPLoNGgq5fJbbSHeMNZNmmKM9Ol7E8QC/hL8ZJYwIvs8TCkCoS4IG2vNmZal9i8BtrEcn9MkUWf1T3NKoJtgP48vj6EpytYzxbXcat3Ml/PfoXN9tkZ97A+xZ5luPSzka7l1ay6pjqS5HcCBEAtEOdcFyrkEPX3iC7alfqXA7Er7jKhA2hqNR9plJPXS6Jzfr8KjIsGY8LS42/PyU4ckbt28Za/80F8Mv1lhNBbrZkEaemX9YdTiu9hjZ8C9u2cmn9Q++bwbeNUq+GbcLrKe05Rlg/bi0VcqEcnvDkRihys8Gi8lIsRC2r2u5zZVXJMKs/yntZYP97kiaYF65peqBLQROGjZ3LPDmt/85hh0YBNYzCk+HKa0OjZlLMa0bLRYepqwYjAVZ03rHSuzgeU4wWrXj/vv+56+yR2iu3BQMVoh26L2o2LJCw1NYb+vm915/Oz1+G2TEw1XzD1nq5aECHDH44l2mMEWgYaCbP5xOsLumA3Wl0JXw6q1F4OIdoL88jwnKNFNKwvWsGIMPeKAfoT3AdO2a0Xcio02vErTQ/DJKVreLx8zKOPbgm2nl0QrUoBUU5FIS6NPKjmy3bYouFJbLkx34+sOPvGx2QMCCi6/qsh1zs8yBYUd+TE1HcjJNbgkJcmrHoDaQOgFOV/eTkyZMuFXUq+IpnpNA9GVWzXEKunr7uaovWjVJAg5qtoF7dqUXS88BNQKlPr0lo2stll2p6Mbl5QInuQxcRFhzQ+3ei+q95JjzInMPpZhcOGWB10BgziskHvht3OUOTL6YfpapvlCn0Oo8O+sPgYR7o+JvF4dZsd7oNFbmWDZSkIZocmlPqNmdLL4sQ1lkKfbIpBPDLXQZE0pjwzf91CyJ+X/RA80e8DeYvdfW7lMOeAHHyiAFeg8Xiut7dBIwFTRqg37Wv28f51RlYSee72Ik+kFZS3/LG1r+P5QBz97X0DACi0dl9I9PjyXOabuU4gdzoEo3PpMQ7IuD0s/Y+2yA3iZRcZqHBkwQ5xOU3oaooppYgjhTLzqIgS8yMpnBv9he8E/Tyy6IymVeFnB3nhtjbElhYASSbrCikql3sSpYbGTpiPoOCYR+WlqufBnXwNUjVtpQG0f5I0C6Wa18EwXUuQlfpvnEWJfPKYhTzLiB/jprz1VxNy8F5I/30Lg/JLbvZkEVlI21MrnPhow0GBzexxLtPw4sIeMqAzE/0BsvAUWzO9Tf8kEp4Y7Bcckc6swyKWgjdF0tDkn+L3svg4X7oTxqafBDUc7AFf8wv5GnEzaOZUaN8LsY9hMqZN4Az6YZkB7JlOrykpXVipjX21Esk7ie65O6ykOqevrMtwg7bNPg4GVV0zWJyM3uUh9YRAFXwgtbrZslC7Lo9JcrbB1tcmoCFrON+rmv7yJsviwVKkBkD7nV2fYSXmMTW4m1IPvqSJ15EzD6oqyWojhMEHNjZV2RDUHd9H/mpOyq5G5os5Kra8bCjKrkkeyDouI2DF8TyQ6iaf2xlqaLTfA1J52632lQjJy8JhAqmNoQOgfiN0xUnOrRuT7VZ5Q+vhY6mNBkLlOTsAVzXTVrW9kmCj9Ejj5ljcP0MmgNx7yi2Y/Kpk2bQ3RnYrA7c6SNVMu9wLex2leP8yHj3ZU2GZVLPh2NT9hHwuNXuHzIHYOyILlhlBoShMdclMDeJgkKX9OVoRGspw8YQHej69NXcA2zAfCvnhn7SeXit+tvOaD6XWSSTFGg1FXhgrMLncU7iNsF5PgqsyrLITD9srCgNvfmMyDy14PwSDf9g8sBz+kPqr7NKeOIeWU1Qm2Y6FAzzgXWr8Cz/1IFLc7DYeR4HrRWzYFAEbwc+RBXoX32CEWFPE6/YmUBpUYAym5n3atmUgyJpNJOqp9JhDDeI6G2KcQViGY2IKBTETymnG2izlVYz4edGTvTe+nYUriaFGRB3DxDLmGjXiVHtDDZwQ5npMsCJ+bbttWVjmhlBxSyKlKNrhE0Q7U0KznnZL8X7uEyAoh3GfPwYajcUZi4kykdpzoIioofuqNWEeMQdWhJcvITx6YL/o2C2nHBiCJajkIEVKNuIBvq9+KSZz2hjMqWIPdVbnGT+TtxV8/K/RlPTWei8rWGdNTfxQXcZmfPE+an7m1mvP3XBL7Iee2zZIokuxCgaM7jbPDjdmfjGnGl2qKFp+yKGC4VrXuarFEO+MmMF4vd8zmkuU+nTxybSxTvKD04ZsPFIfvp5mgVEPsmk1K+H471k/5GlAqFjMPZhklaA/rkNa9nXlYIR9McejqiKDM2+zav5G0uU+Mf0isxba8gYrzmkVJpnLqONsKl6jvZH86uRH1Tr4KemdGvzN1fXpXh7hFwtWzsRJlzHKUpoKIroqelpiNDO58SEV/lYndjjYWsyKGnLTmtW+bhltadOZ44UV7ltBp18WOeUWGpxaKvmqxiyFiz1vtyxaytJVYRnEEA9CRfn/x/oOEDlMTutlP/F+xX8GEjenFddo+rQo3i9XXC7sdMZFzxW5MgyfOXjUntZHewdvNS/CWuyFVBUXWKgZFz3LoDXV4vxuE9oLXqBP4ngW/BjfhHz/fu2ZZ1K+qvfPEzEJQcsH0udkurx9fWw4HisJkkhdGjs3FTRSloaNkODPnvtR3yYl4lIsz8Z6roriUwsaJ+OWnLBos9otVk5aDcvnWzRrlwA/kSsSRPFp/2Ic862HXrUm5RTNEdLMotNAFubUeFwHpzYmRhLrpMy4u5SKtyb72aDf+go7Us8JKasAnusWlmw8CWIkTF6XYG4iZg/lVcGlhcfIeVz0lsHetjUVRie6233ZXR6ekKRH50nDU+yjJJaVykyQSwnvRpJw/f4yi70JjhinLqHkdH+RbqlczaTFQ6ES8VF4m+1BBfPgr0eqsbNHdSdHmcZ3wLp1/UZtvoNXCaNJuyYEg5AqclyX9Jir6UmL6pYnChnUwTRBBX54mmKZHkRCrgPeypgy/TPO0iDgA+jZhoVjXgK6V6SMTmCKt7rZ13RqOfuvir1/erFPca06ZJpGrNCYvzHZBtTIHBsplFU5BD3abSoI47eJ5+UlBlMiWt23MEto23HTFHWM3rCoFHyQCvcpsZEZlqMrUF9qnL315dYkh49p9nWJNBeS8864k9q++OG5GIIs+G5Z/8XL+eBuyZLYABNc1eg2o+rzfdJtquBHi8bwtkXFXbuQ0rb02lCuF7mH9BbPTqNxwWgEVzzPHuUL/40Y6qQYsA725ScLAJOVNYclSXnKUPdbUEFz3AUZ2/84i6+oBGhPprSFbeaGPQLgf4pRag+P37l1Lw+YCBNts3ut81Gn2sxtrDp8jpClqDdZZPXpLpeKsdZwcXippcAVJfQC5ME4L+COrEasd3bY/Jnub9MiGmvO3GoSN0grImTMETrGPTvGNAZpCwuRzlqfSHePPrQFrFWpv1OOI8wj6XpJfzlW3qrCsWxmwCJMwIJF+gO//qq6/pSc3Gm2PhWx3T/F3EeJMGqBNUUEEY52xTUQhKnfxZDJieE+D8u4qdNW/ZlzIuSZjkci+RCp1Jz0DUD4/tG9WBcjKY9inh+RYQkSRuDPDkh4hRxO5WjbPyTKFImLrs2LCyoFlrpGWrl3fn7Zm/kwjLoXx0wBCghg9bkLm4ZA83C3e1ynJ3e79VO6HjOufJ/PzRJobDdzlty+5uOKpBHCPed/FSCC8PaQs4qxVWeIAFoaB3bkz8VBDereJ+SScmAweeDo7jMRrr5sCDRJa2xsHc1+8oFZaXJXoM2hrCz/O2wmhFI+8CXyHOT3+uKrRVAXdbIWNh/JkwPZOU+6d1iUnB9NT+bCnbTNzYlF7ovIYgRmzVgkWIEtFNR1sFdwoYNV9vkzCKTy6Fk7zvv6nfX7WgBqhTOGO8l7vxClQLMDYcX6pQPfrqx51So6fXemvXYbnHKT6GF8UpTOR12xYCiqgtINmN6blJfgP1e4DAX14zAFtT811B3dmjG8feO3s1j5fb0LpKpTcrfCOa+olr/GBqwQdk0mTYhyxU1dml2q3v8MZThquG8IwpdHLVbNrXwiBve0S0ll0jno4WcqlwEPNIFmVgrOIPnl/monLvLX0uZnJxNWxrzK/TYlAQJfa3TicyetrJrJhzYRY/Q/RTbgWBrUcKOBXqALocGzm6/XSuaXgNht02HNsn7YMyzm2VFeDU/8bBaW7wKNryY+ZqfTJdJ/odIswMPcUQo1wmT/bHI8UyWNwM881kgRhDa7VvEhNzN1cr7waWLcruVVh00xS+S8euyRtosFX60eeoCRTGu6RewCkT84RgoN56593oJqDwzHYC5AAJnExffQrtirNtun1ygPmay6hPWYQU0AWa66W19u3NEjvxcHCZ9ESNC2MgrCZgo39/Txbg+grpORgar8OAQkt4luU1eQU3s4mCKpsDl2cGaPdZEY/vfIM+6v0DYXYyFkBoYzLJRibp6ylrFjuKEjmTYbu48cFwZm0HN3pzcmau9EaxcKzrkPirIP52IPV8SO1uCvovZrydGEOhK31MxPcUjYWL2uuVZgyBf1BDh1VZ6Nf1cFfIOw6EMm+BtHB3io990hvqgxdq7Rzr0dMbb+L803grMf48Bn9coQk8c1Qumr+2KlzSAEfaOYIbe8tiDK2/2lk3GX1sRT0g/XoTI7HfLSH/xmv3V6COxMms4hT+9sv56mKUW/ugjDlPVjy8mcKQ2Aq1wmRuP5BUsOebn7l+BoERz6kiUUzU9QPnK84EVmR/Zg4Cr+2EaUUBwZmuW5Fk9EhDN6zCgrENpuJV3WglMEQ5zOhToyv0m/y3nyxsz+WSYaCsXcvqfBOufjUNkKBQl+Y3FTv9B36/DzsER5Q7PdJjDIx2baBebH1O5rtuEREk68WIwCNeP/lpMLZx80WuHxpIPdz3EYrwX/uFMmt7weEzyDPFaRjTBIHeghcR8IKIMeYL1JoE1sUL+mUyNTB0gWMwswROTB8dKn62Bm3QC+zf7pSlY1CktuN+YL5OmSbM4TBXiLAh+dpJ1qbPc5XdhkZljbjanWbNlnCtBf3o3HdQAjMajeLptMH886jaOtUmJ9fOcVOpk6jMzltWHWIYMNb2jravEsKA/jvgWTVY8+MwV40cx4z9Jr+RhGt5X3vJvMZtP0u4w/pVKVkmMjDhNywcFpcwyofFneJrfHNult4BzLL05zvgTP5aYr9OR+QbIU9Tl5658sZvnAeAVnP71KcWpvG6qvKt8lvvE9XweJO9SvXYFe5omzmWSowe3fc7ztPxZPRmvrpadfH7VEa2nd1cbfQu0e1jxlhiiaadRCmDjj9fAtaEQmqfvSTJRzlvNGMoWV+j751cVogGVs5nUcMF7QJy/xkNWqgHb2KszPQqf269OhkBevY/RKTxxQbPBmFlymxcsRrH2HUpoJYcmOPtt0Jo7pKnJTU9OlXCSGj+wUNpQx5r26FdaR0p946XAoTd+e+xWBR1GRAHi7PEL1pGVs9eLRleEYx+V4ZEbcRNBvj4Y+BSlvPxBFKT7v12t22L4xvJRLIlVs2QqWynNfBZSYaSc31kqeXw9dCLSiqJbzLx5ylP/gcvPrSXT35HkU06xPrpsqtIE++ZBbEA3Fz5xsKXmpZ8L4MRtjYXIuTqneBV+EGc0HEiICjsc82xLF+qeGnIpqXX9oXf9TKrBM8uArDOY1vZXf+tMlsGZND7kcT834V8dhzRN7nK9XXq9HPgxeHKMMYPiwi29/GeymNUb0BJSZrgXQkjGFWbIbo15WfFi27KWhnk1s6s4e4ywug4k8kSzcaXHti/WEJ5kzW4Wju6VSzOyjdNPNhtPypyttvxsZPkyy2X3JT5vAxlVWJxY+RUCcmFjUskzqEGZWQKD5CdFe8HUm39fWUkh3tQqaXxjsCvIRknDiwWDGHR0QLnNhSO75zLiU2eaEg/VgV0FMuHKbPJ1hnNASu7NG5ey0vV01YRF8FWS5QVUzZESuSKGyxUCCRKBLUiFxKsmycRC9vdKiGLEzlyF5Th8Jn5j3H1V2k3UjdDkb4qyTfq1/fk0W3SpIE4cPN5T+PQcz/WpzOPImRzvlBtPvl7IDmbnojg7nw8xU0JUkRUeGui7a+ZATjLUSBlxvKe5FmeeG6Ef3qGjCvwIvgmjLrQyXFZy7YAncPsJQMjG7+KbHHnuMm+8BmqTMm7DAFo/zY5MZn+/WZth50tVhT7ZM47dco83OblafqShYFXpreYyyF8DNXWn9O8OnIZ4swDymPkuAjeEEDyd4DiWVffp8QRGYXlEdCoTkURYy8oL54+QjOmYolzCLtM8tvchQEV+rYEemH4A25ojdUvHrvG7Xpvq2pcOxJUVloD58A7N9GTlDwPbJ1GR8GRRpNuOQTYtWhlLUoJgSLizTglJqzbXsWKV+TIB60OxTDzwJNswKRpmKxZYVulynWyMlCYc2SNcaFErwMGV/1hXx4Rqf2PvaIjPNDO6gHJWDM+5lHj0BTrXZiZpnJJHmMsWp1NbG9NSxkDA1jXGBjN1Yl9X18wOwkNn0JaD/Q7ECmzKPAcZXw+frCN6Y+rjWUHFcO/iDqGKpcgPUhXyulA+2SpEFzlYCkU5Y1TkuPzXepNkyphbRQVfdhz4EbuGaquXUxGCAo5I8cq8ZlnYU2PlYzTpCVDl793UlZ9Ho5T92mkBNINasBkyHQ2c7VxGWdYXbz6xqtsFdE556QdvtLtnq+hQOPtj3qYZnC3kCSpjN5K+z06cQkB4We5lOHoR4m+wQY945Y9/k37hYvaenT9iGHmTWjzyT1DvXAsOX8nwuLCvKDPMn8Qb2Zyu4mkskxd7lDPj6LXRHvOQ5fywxWJ0MY666SPoQ6YNIAGqVTUQJNNiebIRNKx9106N9pYkj2iXV6ymDPMBTLDtM2QmWqnXjk0a+wYIY59Mz4BgekPCaA8UIMEkIMCB/iMvzK+4EShM4Kd1ODr7S5ArcyGChfIZkd/Xo22K2ftqL7yMCFqPFYp5MADsd0bcbVae3jXYuONMb8yacHC4DOHkFsNAMbUGv9TiwHQFWH2FmLMBq25hIXfvnOpWKsGRYrLvixzHCWjoc2Hv9z5MgBsTZ6zQ1Cb9k1VgBJW9DUBTBk9ZsxvMHLBuOi2pnyypE0qbDpXXH6XD2XMu9YXyVfJ8V5c9zmfG4iq3GIP2AXw8jVtYziE93HufGVUnZhq7fYQ0k+mHS4VdE0GWJD9InQVt25MnMI+BC+0gqCGIkKHqm8xcmGO8dByGeApSDyencv/luvGwzO2J6VXdSnWmcFyryMFoLnobHyM1q2seomQ7c7SAW9tCgXMon2xiOhDNHhp8/wulAAXHBc4czTTSwJWAxaP4exoWj7NYxxJf2GDbWonEcBhQ6fiVyqmeAiXjYcQB/UCwfX8rR7PDX4fFZlj+8w1ZmcbS25yjt13c2CnLuRXdeYEPw9CExf8DqyISE+V0St2wdLmJkccHaGbc6gaSRvURdciF8y48sUvUzSRBYfQyn40atOjaiMOuWauhJTi9aLjHqR9PZ2g+qLtOf3mw/zG1v01+Y5Tb2W1H2LDc7S4y+fqJL68nq/CvTk7QXtVroHYYz5hqAATvC4NQrhSgcfD42ASjuwZdZLte4czRJHayp3lxuzWmBkccpNrMHIReQRB/FIbdeey7NrTZA8qu2x945CaKxnPeis8A9nImg/o/aRHmfwATkyUxODE49+VKgDEG+ycuN6pC7K6T7iYVuJEjwEG3BFo1d4hzI44eiyCbCCLLk5QDP8e3SqobPNsD4v7y1PfGgNMKHJAnI/oGc3BJTifcoZJil2Q0D1dssg0wsPimclduOyj7bRI2k+2LIPfMzS4CFJqZFOieesCbiti6I2u7jJaS2Oz/Dj2TKxNv7Ns77rB45R9fD5h2QKI29+WrpV/52kISy3HRl+WekfIaXuETwdClpymKXR8pKK1YOzdYHvr+PMvw0PTmOK6bbSt+hpdru9Ux+Lu1sakq2o2kErrsSU6YK8Q1zTEMAhIM+/zFK+gooBlqLyfHmZSLqgr0R2/LIY9C7AhyveRX6Uh5bMgaxjn8EGbX/vNQ/ZwWMpBaM79lu8ltNnmh1XfvoobcefEUaJ1A/VXLLmIheWLvVdBSUvhodOZlso9hqoGLG38JW2CexYoRwmRDOSI1KlrXVNoj+kyoZ9+Ho8pOdOrmsLm+tYf3ygNusb1mG3Fo274AkStdMGtztpOns545RPrsLWhOy1vBMnY6ZhJ/6y7RCxXy9R69Y9zz+lwwRZzS3nFwmNhjD4yzZ/LCcTKjlgeANlnUfnZ81uFWlXiXUchzDUAxl7KPdCtLwNPUE6tUGNpGg39Z28qRBeQD69a/uTJ3uxiv+2uwZh6axX8GF2wVoY34ISxafYn9MaEHlk0qLLBEubbbebn2gtKnEcDm5jTksMcsgHRo0ERjEquWjUJGm+Yo4inGboXWNS5IzaDn+pMkBQaTB7wuN+11YN5D1uTF/rQqSDR0XetBkOcckM82eLHZm1x6imTAPyFsYiB+vjFEaP1oxjHFlxBs5G54qKY6uZMdbYhBXFwORexOGndKy+xIqL2Nvtk/kMaOVxfyfD1PVuSLw2jP9m+gECtwn2g0zfz1uADbR+L/MXYCsFfRgyVN989FB1/RdnQYXMU4UdLY1x28tdQCeSZ3GLQ9302J0TDIa66GuxBU2Qqlm+Lv5Uq8ldMRzDu8IeKf2hjvG+I+/2wzisW+KTqKCzooWg8s23zcYAZO83YhJkLpY9Xfko2qrZb444RIdNLFyDQpfqmTMbzTQu/q8t9A10k/Ae7/35SNsm7iVL//59FLStU1ITNJzkJ+fn8X5IpMtL1f65RZ/vjT70PlVei5i0jgPGIONWEdeVzFRG46PIIP9cxBgP+FrPx2roHNyUJZVyWH3q9gw+WGdsPv5HpxNEwnEbPASaT/RfNsX8SeMS3mUFS0krRnt2+R5Boz90FNVj8yiKhFBKnWQxNrKtyhwPHYRSfLYzrhxbEzsH9gAuWvlCUMofvnfqbkknLyLPSOlr27Cka0T2ogWvf+r+Fs3tKxhkg6B5fsuuPA+XOeWuM5oEtzMzUbvfDWyCKKhejI5+zCbfrWCp+PjJtoQiUIvrWqqqOjV0tnVGitTfxAnaWP9J9PHkE9+WLmPxgReem6wSV2NtRVicUfn89xkaGrlBM+jIrwDMTpoV3MNcW6MWVfrnHDtRoTpBSHR5Z1I1gl6N6qBOdmI3Hdh7iK3GNv5qgO5swMKeIuHp+Pkhyjg4BQej8SLcD8nexwjjARJZWCr4C1GL530a427IH3FEJlzWTaidqVXl9qO9rTBBj2DkKmsJ7xwKR2kDlJ0ifJthjSTg3yGwsgnbRT+Zm1E1GHarfbm5vhzznH0c7BPOtK5eW/Q6bDSImdoDFyoS6GxjbGsoufUBSxWE0pOfYXurrgz9ksoNuUTlnLWTdiRN/K30AXU7uLrPgzNNDycGzIcumvf+I+XPr+FapPfcVAdoesykY4Rq2wIMxg7nYPjeYMW/0scIoALZ8z8oUy9K6NkmTjRuQRg14cS8+8x167t7dGKlWb2uWgWDarlPsjAiai8gcsn6MIS+LVIbNk9ZeRjni5iE5yIoIIcV4gVEkA2ezPOq4p+sySR1xkG8XmlQp14+FIVvrvxV1VdA7uKyO1301GJa15eW99Ru5PV11NHVuQBdCcbK86Zhpy0m6qLXo61bMl7l9eTdd0LBIGLqweYvTG5lVyzw99h8JbHf7WCz8eETwMo+BVqA417pVnlX1VzKrEpZ1UHmNFoEcxVG0SLeFdOM/oTHPzhvHN2y1bRyF7DjG7Si0QZvRXh90oW7I1C7lCU8WSznXGagFRz4MaHhV3Oh7BZHlDFwSHZlcQn2Ef3ax71bado9iIeAYKQZenH4BsVMBQcnYqK4sxdeJJ/7wkL2Q1FZW+0jv943IlbtgCKOy/AMzu95LwGjyWMI7er5rxQEMjqe2R3JIsjZ+DZQI82yTs8p+njx8/xSeSYfJa143W1ZnBnr4n3yq1Lotb93iE4qCdX5FcokuPLmqCm7wBLOZV2QyrB3l6A+WVkMlMP3TRqH5Bao1E15v3+0BT+Px1optFhbF2oFf1A1926LdQF7Ahswx1vzB+tzntHlWCc3WFN04aLIbyEG43npyJTwi0qIG+X3n0tQ645EfFKOvAkVOjLqTCuruGKqW8teejBW8kAo3WZYQi1pZf3xkNUx+TMRHX7rztWvflrFgTDilxfcqildh8tkhju1vc0WNXKYjEpR89nBpqFYPt8LnMW2e2I27LRUzQEZV6R/dzpsVM19ZdTpdXFw0mETR0UZ2RxBGRT61HcL3OX8i8abrVUzoTlUC2R3Ig1ElMeCMfL7VLg1FIKLzcK81Q9qVwihil7ehOhu7pcNuTPlKAt7hzmt4i2XiXNJwQsV1HK1hq86+PiDxKhiianwAjrFxLQl88tAfLGTBjw2I1YtMs33LfEuVioMlaxA0ZCQic9oZhvhLAICK8A8LNu9hD2HKQgsiUNFJ5TImm0W23u5UItV8uQ8nFeVZuf94+XQkFmlegn5K6Uep101wc38CGmKuWd8550LvI+xmH31RptuGc125lTQwb+AMvAyLWvVtxCLFCYZa+2s35QNYAY3lQqHw0sD0rPhvOIkNMAXakwZikvZ06fo9YTfqDgmP0rE5jwoRetEnRLaP+2r1jLrfXTdhLaQw+3owoC7gdGV0AyUx68IOmCgUA+LL3XjcX83DAQYdlOwyrs+JPH0BWxl2+9VLDPUH5Gy3/OyrldoLDa1GC1jqIiEZfHXmmqquLjxPPVHFAg+o1uU8eA5fiYfhETVqsOaSXEeLP91ylKdNQcfWiumC7Hp3Z0n3rkrGgpe41/1S9/rhWBYopmattp/62J7jtVcKyJwgdJa3JMmWM9c1q2iRM89Y/y13lb3zcVrxnGP/uhQVRV4G+CQ7kf4oq9CQ/BzxX2Xjv3s/XC01VqtGUNaf003Vv8OhWOVFLu0qqsBAjHSiBmO8q8of781/RbaEmyPZ1uhOSv2yhwTsGMi29pw7KEuaQTbk6HaoCeJ9I7bVPdguKxE/Yx2sMs03ewv5uF+Cvcl3np4xEM/wfqAZLJ2dK4/wh+QRcKV3y1GZqdlbnzV0C1Fshgs/mjl/0p1QNixq5vhNza8y08r/VNe/qofAC8h7EZwAhs5TywpNFDBCgW8bo5kvfKxmHTAjDh5GmWP/tVoMprwCc1SPsG2u7+5DMbRoOxav23eQwwj3QlSUNq1oMR77F4lV4ZLelJxo+5TDDjXm5fJt+a4sOCdbUp1zhJCX5YTEbr2H3SKr47ByLwavVKY8iQQiFByMPuUb/B4SPm7lhBAfKMIPeoEo/1jB2MKOU+CHKZz7QVPMdwM8OWnA0qAmm5WjX4sr3Prdr/rmeuZ1js2dF9p8majXuFbaKISTW4roO3ExaLDNTwyGNRFFk3ifRaFyMHD5/ljbI+BluS+MfytvC3NZj8XQZxQ6fUtZvs90ULeW4qs6QZjq6W3m0IS8pJ4JFWFvUdnwSKEkXrNRwoXGKfrdG+RvdAjTefhYfsaTObKwTuw2x/nH8NllQ9eVumplIYZl+uQm4rXaMtJ1kxNZAR5v3LoyrZp3anT5nBrpUHWREF+qz4TRBQ9DdgmEVXcZU6JpCzwypfBgqLnVet3MyZhmRVwNEj+pdau0eL7UmZfYdvRsaG7MH78pj6gvbhL/PbTM2/9a6RqtGVOv9XuiIGIN1ABhglWbs5/UjyVKVuQda8Kjg2wktRf1VjLKd5Dmj+ZSZOXIF2iQGRGnLYYqhyoKzFJsk+M5FvE0RYjeGLzCiH4LA69iw8UaMN/GJMk9pZa8AvWZFRhmdKMGI/o2vkxNo5viL29jvrWMpn63JCCXIUdrsxusUH9RZ4mIl8Qdmr1wqHU+sceNLLemjVi86/84rkWcO26IENvF0KozSPWZswkY97+FgSmMxP2a+Qv566uH3hZqVrFApIuvbVO5D3poh/oLV7Rj9SyOAOErWl84aYZ8tPOrujCLTEdkvNaqpy9EDx8eu0mvudtezRi83EzD0asCVlnm5kgh37BvfuinPgWgpTNhzdF/j1oZrZTByKmy5A5yGt4cCWVLPKZRLcJoSvg9SwsaSLM15cekSoNooU1j2H1p3i45OswOccj8ttUfNWR3PtHKes9vrO6GNj84nFPu/FhGrKVFHKXgB/40JLMDowP0hzOanFdyOP9yzWUpWsXxjPKQkMDxtKIZ6i9YuZgzW0FBpfKmk/tS0yVNV/0/08A4xMc7FqkDgGn8sae8R1rf3w7gRYVS5TcsLCyyFQncivHaHpg1V+8MDp10i+6yYiXBXwPVXHorNs4QbwSmakY0KGw16oZQTfnoliok4/TnUyjHHqeh61k8eaL0NhBW07tptXRVDQPRtDzCHj0tpmK/KB28mj1N9G5DMhHvcyN07tjD97mqeyx/gdy0qY5p447Vd6RRT6wdkfGLwjKQnNPaEmieQ8Bn46Cv3Ht3CTKDKsAOBtqy+VftzM9GpuDxtlhWWncqtp3xMLp3Wh4QlzlS3xWOb667YpJuC/3mnvaud9Rg+DHNgpCIfzfEkMfpmqbYw4OsuF3oJb1Ki9q4eyEU2WkWP0SEw1Zmtj9crlBRD9+hs0hwG/+bljOqgH87OnIKuVVqZ9scyX7rzQG2UdbSeww5gVGN30LDM1sEnPaf5dl+NrVtvj65Jm14j1Rb9eRkjaj1Tiy+TbsbRUV0qUjLbTAylJafYYKXrohBN4AZruplO9h0hd9iwq76gS7q6qLQtH14F5YhOEJCwxbJ/8Z3+Vw7/RAnBqx6KRQw78yU7iir31HQ3MlLl7PnLV1mmqNOipcF1L+V03VlUfUXKAoHIS/pJoqmY0mR07BzAvnlH/1DXTFO/09v4KIrXVBho1DCsssEF5tjKK7UU5DhJFf5YnADcZzYsjoCoqiFFMmdKd1sEHFvgc3Y9MyBUVKGkuLvJNb177OiEK8XusoM4nK6W8a+E8VKjZV0+6BQK8nVn7TDtKdtiMjB77SedHDKn0zQkemNe/P38tIdfaukKEQ0TCx91TEpGCcVLyqX3AL8VETQ9jxZs4RvAKKiGTEB3cveQiLiQg4poASPNZpGV7bp0pDtRblISiXxPR1PiUbOS6fPuO8RABxlU031Q6ketcSO6KF3LPzqXxAbhhmE4jTb7SZKNBa4hfSNprkk344phvtXvOAsUbTx6u0wEnvfqOD/SPSoLX7wo4B+iP+EPGpHsUDoc9tbDJGY1LI9KCtH2xzQuo6LKSvopf80Wziq3Mslsm1eTwm2Fe7MsjkO+Sg3bvBevc+aQpKYGwiVxBUZ1zQ6pSmOHgAuH86fdCMwvtooh1jsSS3q2g9g5JUnK8RE+5ImO2/vMCPabDFqxNJsabY0K/mmpsUpIJQn+dO4VZGQslYYoFuz/4V5pBd8wJpunPfmgMTIZihXQD/VXtMvQu96qH8myTvD1eEnvwNn018jZ27docrAhclZfdCLJleLLba0yOBGpRgruGC0SNORziwkh0vpWZHVv97MlLNJJ1qDnThV3aEaclS3vdj1mBjeJBHF1bPAQD6iSZf2qDRzL6MnbAEXmk635yF8rSUQav/BkgeFePDcxObK13KdjVtNDWTcKwyIVCzgr6kAK6Y+trrg8vPLCUSlo8tlmnpraJ8OnARhbJin/PN6Hv4w+l+9NcZpFDXBKKGuIO3qiqpXXJoh+ml6wTEIYtRRinlolxP3vJ0Gmqe5Fn0xV0flIX7wwR76jwlJ9VgJXxi7lKLIduTrYT/hW3dnT+oTaahayX/MuiKK5OXRQz6W7hJtDo7gyitpq9QVP2fidO2uioCXfWLOM5Ko+1dBQ86uj4+VT7/CnwCKYUyUex9ri3Nxjh5uNYCboFqCMvJpFvjtLQh0IvvCHobNqBylPXdMqEs4fu036o+4maqOb4fOS4mi+3L5/WLhtwDbMwIlGfnWGRrIyTcg1F8IDIZEiEMNRkD+kKmZYd1rFJsx1jDb0wYKF3Dfmbu5ARMArDMxa5pD7zruZ7mmR45vlBwaD0ZLnxkPUuNkppCf7tTwlO9/b37CAAYMyOVfgAlIgwiOe0ru+JnuvFX8Y80eGXQW8JOeDtJz24OGpQIysXZ8I9+eH/SiNGr4WnRn5NgBd//eAJTalNew1gURSk5rxnoJu1rG6IdHkFernLgs/2ViJckwfZoYL0L+vst7Nj8ARAtDdaTLSCr9F629fhwoQCBtpJms4AJW/cgeXb+FicVIVa8hRNQoVJbiUapkLzPR45f+h+4K8UQ8pmgejD4qmt6P73ppo540rGhcR1RFvFK5grFujJpTCjnTQvZAPIz8sSJEo3kpKjfXUyjvILOwC6ZUS14RCYqCO3hUboa/8NMZXg3uusj5yrPf8c8k4522aFDOPQZD6Rf6e98jXH0BAtMA/MEv/5untNHVwytWR7cAmDV7S64cooap9W92tSp07YfELsUr4bUbUq+0ksD8/9BNmi4+ydWGsPh3AEbQdmVGXPFRaHj/GbNSqzdKCEPPIG0WXnoeMACR6JIIDBhhKXLa6yaBE6Co1LizFnhaFyxpckPHm0LpllFHXw02Ui+cSHYkvd5smSRwNCpcdZ7cmqxhZb9C/7ljLBqsqNPmYaaEEceBUT8KMTPL3dXG3L6HzpJ4rFJ8OUFLsxCHFfy429EOGyB0j05gPEI136v84s1UjEOSS/J+Bi8aIbTFGLATyjmqpUgSLSURhFUKR7YsMNBixQk2LTA3mg81AOE1lg+yttqqK5LJDDH05/OaG0I0N1kY58KuL54WSd0gVgsqpc32jZuq4Xf3iv1S/l3gZ0jlPEUQm61pK5yHQCResc6jhxe1qVywT/sjiNNOhIfCOijFgMmpttadZFLYl7wLggqtG0SaaR/n+ZDFwFjYijFgnv6/I0ZwdhAULO76XuEv56ErgCHdoFKIo9Pe/xMfGcoiU4y9ubJUBaMn2mzh5vLaFlrItJlAWv4Dva30LmdCKyyjVwIELYcJ9Df3JwfiqZZxuDJB5DV++f/lHT2HiXEjB3CJb8jx/NBsArMDClKxH7GcWfaYsn9HOdxp3r29BhHtg0CNDDyN6vEGsV1MJ4drqhnc/7vw+CU4qA6PsyifY3u/H8vAKrg1OD3H7mAMlMUvdJg7Z+67eZiG9OMDYMzQ3SVo1bV+SHfSSWTYQrrtGlpArpZTXNr51FQduSLyaV1EFj09kyiOltj4yrh7kTjdBsYb5rhmGrYfp3YMEndS2oHfh8OsDUdQg3NMlNy7LybB27xYV2z7Cis3OGNAGUViwx78NcHlRotuufHfNAUzrSQmpdBLimt3hbW3t+mo2SLHqUsw+NfXmfP/DmPOGK3vS6BPooz+mhpPAiq1/5QlH5wNnqsboqKxDQCR83D0Tfy5yuVykKz9VdLJJU2Sn1UsvxGUnCZKaj8Fn7eGeyUo3SEtofM0zOitC8CU28LxY/dcj/sTUIGTYkNP5feznJcaeUlm2FNsav+tETaj50XNhKgGKujnIwrnoiuyJOeSvPQ7jy4dIqyk0Jt2JhjJr1qT5m0++Q4pXnrqBwE8w7kdm3/piGLobR0xTuIYcvYcl2pWmxAAUc9vI1oPiGgDHtewMdCZI7QxD0F2ZDlJM3+MRgA6RaayFCbqUCZ3K6Ky+hWtVV0hTBkm0gcPO/DquMF7p7Y/jVvubsMcO/iGbKBvwcEMadgp8qEkCQ0jqp4aOKR5gROm5yDoYSHY916nec/sECOsWMKP+EC+C4pHEDAsgXXkzlDBJ3TwK7o81oe1Qz52/3rBQUvexrdGTKHnAVSZGOzQloIJbgjGgiZ5l0+ZYs7n1mnTxOwE0NHTwDhvHl9G8vPQ6R0cNEXBatmM8O9Cp+z/hGilAmWOB8Eyn6OKR+f1jnSaqgSqZOVGX6AM52OBg2fzluWacaZTnyLfM+ugwBp3qmq90wIcltUHuJueZAFvj2Bm1TmJPzxkTbeChr8rfkgHZbIyvNzRqWBwv3wCyeRtONVL0vVvD9OZaT+K8ItKY8bEy2zCeVLv/hNAXDYHS5DZmQ1Os+/+uIW21XBWbEcWhuuGAMQgTsqyg6DD/L1zf1sbrSsPgUNTgALJmLjJQcu+iR6QvimdOxDIlAlYzs6Cs7lChqkzUDxa/GgyvEgfeZOAv+5DG8r9s2uw3Pc1SwUD+QGCm2qP2h5xJdaU+YdTnDJqQZBp02AivlO7WXfW5iZXYPLu3h0D7OlpDEdoO0vR8MYFx349eq14Fmy8iSgL6fDI0Qp7nIa0mbxoCOQLqnb5aabvahPl40tayOXa9EvC6Hfu5C4pHmBXGuTNLSwgu8xlZC+OgtEu/aDpELh1pGAosMOTl5uFxO5Hwcz6xtZMDQfAH+lWiVz78f/bqmFm5CsBD2pznHVjaR3dLgItYyukZZKwVtIuvrt06qCk/3ATO4KHnPLcyCIA0fKIpHmEQ+/IIt8Ea9alSCJ8VxMWJhDlzf13r9MuLNHkYxJIMe2rCdAqrOhf+ZxCWpZ5BPcS3KRZ5tz0Wwi1Vjtg/A0ivwxzN1Y0rGNFVfLmz5yBBD6+/RrTvtboGF5QZAkbOpVtpQSSoqB8jbW2eTcwT7qjfFE2bbuBql2v4YlVhZEeweBVETXd/Fk0z+ztwHlPsOjcvmfZJfaCwLTyXR355QBrt4Hqd60vO/Kcipq41YTJ5gGhHa1XBBCytZcdmbAqtAkeg4XD2b1rSmh6SO8iXjdO/4vvCYtfCHPDSgux6gyGVm18O/HKhjYn5gRYvNSbu9Py0kbwyU3IstcKlhf+IrSoh1rgQqjDa0FQaPdefJn8t8gM0XwoDYiVc2qPmoFZOS5jtiBeTA4DZLuq8ElV/NUSgxSnOPu8vRNovnuMyEtgafd9EWv+q2sONn6QhJE2HQDGmIdooGMz8g2PUVTyQmQNFWlA1eDhFHXq7e6hzEwHDqCGg4njiuef0RWJqZg83cihHyIycCia5PqUpOVMgAm3GWUSpRYF9pbvS9nkyiYf/M7VEYaM+U60I8YD0Yzbz3P8fkNFgcyNEw1bw/D+a1HZfT58q+Uw+4EC4qq+Vn/XUZAD6tBiZBSTOcy0+LoRuDBdpxSdGL4yLLbYAapazvv5XuNl4LEhfmCakwxs/9mW2x+KQJ6DFJhOEK/nMkdl37Ro7ry063erEnEu4diQCKcbfE6yV2E/Zt9z9PvO0/S9Ie3diFW//80mzOMV+ARBX0EQ1EauERJr2fJ7x0b/tb6C+84nDZopx6m46Wclfu2qW8GfLFcqhPsQLJgoCfFlYruHlvrkB0pvokg8E9h7PBRcwyAhNDap7E4tpeTvDZ2cyVeNAtSKE0hY+jcHprdOI3ZGagn9yrOHJMnxPW+3liib2mlgkU9X04LXkG/gvhaD9veipHUKNr8vZpKIinQawsu5X6XTfgVbzD97Gzp/6xTMXyQd4qp/yWDNcoSGqDxAYBlDyIlCl7pcMLXCqT2SLC7ZqFRDVNSdAKnbyyjN+WqvIwhmjdPDpnNkkP8wnCKJDOw6MlxywdSv1HDTuszGjM7RmI1ZJcBa+6oJBUujG/Kns+mXmh2yHdpdMqAU9PA9Cqsi/xwzj7YWfMaq1474rTXoMsJgnxHN3E1cZ2PKmgYVK0t0aqC//0uoPZPcOUcNpROe2C5oq4ccGg3VBVvlCptG4uiPeTDfh84EiPr8KJlKDDkGIonHHjE8bpoUzCSMyCsfRHkNm+1T/6kFplv6yce9Fh+OndLFrNgfwBNyiAMZlT6Px2reRsLt2n4mt0HsDOS8ja7ghOVxmoNMbsXk3WMqB7Sq+fJyuvm1BIrRhRK8reFWVkDepN27KnwkI7byjcy/KnFp8q9FNpzfuSOpC45L+qUqn4YPxRit9uKuTWhc1UdYmJYC/pq8ZWfhi6DbW41HU2UEwIPxFPhF9jHtlRi+nT/l29omTHFiijND8p2blxC3s+zX0PS3I7nSBsrxFGPVABvvW0zmrqDYa/EMQqpdJS9KnGWRnIt3OlAp+HJO+nQWJKsVNqIHGKPGKHzQ09z5cqs47WYcXiMoI/TKb1SYTf/i++729oso3kEz31naaoH4D0dYtxUwocl0YnqdQp0EsoPRJyNIVoyoU94PLwhvoTXL96UhH0rn97K7WhpyRDEelePL32t8hUF4IqQw4uvow5BSpD9aPL++vIsuYCaHfLIRvjX9zl9/MGzhZFqnzimmXq796FvNHuND//gcOURIfyXhFC9g7Wx8u5C76qkm8jIZxrCCSBeXkzxeXXK6fgW+eouMhJae1A8H67PnfQ5SQoZ7CF5zhD32wjoPrvKQsSXT2zbhWjo7pvTqlkp9A3JHS8d5pR8TqNsfO0rGyV/NRk5TZe8vFC90olmwmK1TQR+U58fVb/Ck/3Zb83bE8Aj2WxC98nWv35FgW7TkM4bJ0klgIRcLKL+dXl2BcTgf4PJ1BjUfh5pUXlMHgXWApIzc7YXneESuQFbAq46t5sCkDcgNz1vVEmN/31N6GOm9/tuP3EhY4bAIYIDcRh3WxYTTy1+MFYDbll3IBcRIVFPqXxspNBMKiDZvrAHacM68Y41zDMsKYsFyD6WndyyOGKieBGIlgt47Ldkwui3NXH0c9Ngy2EaUdYEJvnWaOo5iC4GwrW/jCzZwXHT/oioHMDPHHkcRJHBQIpar0kWSnARM9XdXhlqae+lcVnVR9Pf3w86yyyOTnJt+y8To/8wNvWH9FMero5/J/UJHj2nrhNBRckclQnlBzeYXXaDm0+OcGTNdedxynd4Hx4zl3nwdXsz7JJFxoSY+INAg7h1soMdqcFq5+L5O50BlDTB/uFxXYHdToC4jxHT31GkaC0RzkYdihbFFpMiGWaNR4nGAA9yTnLUvuZSHU9UH7AAP2cmoUMxHsiS0bsV9jgPNk/l7dVImvDWGM1ydh0OUh2DEniwak0h6vPR0es5oCepqw8/ArQB2hF7Elh4TwIi91M5K4TPTttAhc5bo6Jrau8Kr2odaQ5pJmT3DmJt3KvU70E9ffjAE7qC+kQ63bQGQhb4QU7HyvAWdJCK5TpU7xNCxxb13b4NCmVuZHN0cmVhbQplbmRvYmoKMjY2IDAgb2JqCjw8Ci9MZW5ndGggNzI1NwovTGVuZ3RoMSAxNDI3Ci9MZW5ndGgyIDYyODUKL0xlbmd0aDMgMAovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCnjajXQFVFRv9y6lIkhL19AYwNDdCNJdksPMAAPDzDAzdAiiSEun0iCdEiIlIdKlIqJ0h3QK8h/j+77/77t3rXvXWeuc8z7P3vvde7/Pfnk4DIwFlCFIB6g6EoEVEBYEygBUdY0tpQFAoKggEChCwsNjAsPCoX9hEh4zKBoDQyJk/peBKhoKwuIwNRAWZ6eLRAC0POAAYVGAsISMsKQMEAgQAQKl/2WIRMsA1ECeMAhAVxCghURAMSQ8qkiUDxrm5IzFbfOvXwA/+BZAWFpa8u5vd4CyGxQNA4MQAF0Q1hnqhtsRDIIDjJFgGBTr848Q/HLOWCxKRkjIy8tLEOSGEUSinRRu3QV4wbDOACMoBor2hEIAvwoG6IHcoH8qEyThAZg4wzB/cGOkI9YLhIYCcAAcBoYiMDgPDwQEigbgNgcYa+oA9FFQxB9jnT8GdwF/ewMQFhT+d7i/3r8CwRC/nUFgMNINBUL4wBBOAEcYHArQV9cRxHpj7wJACMgvQxAcg8T5gzxBMDjIAWfwO3MQQF3ZEADCFfi3PAwYDUNhMYIYGPxXiUK/wuC6fA8BUUW6uUERWAzJr/zUYGgoGNd2H6E/J+uKQHoh/P4uHGEIiOOvIiAeKCFTBMzdA6qp9tcEB5H8B3OCYgHiQGkJCXEgAOoOgHqDnYV+hTfxQUF/k8K/YFwFAX4oJArgiCsCGgBzhOI+JH4YkCcUgEV7QAP8/jfxzxWJsDAAAgNjAQ5QJxiC5D/RcTDU8c8ad/homDfACojTnjAA+Ov5958NTl4QJALu8x/z3+crpGakba6sdudPxf/mVFSQ3gA/ARFpgIC0uBRAWFhMAiApKQkI+GcYAxDsbxrA//hqIhyRAOk/2eLa9K+MPf8KgP/vcNwC/DOWHhKnWiiA/z8itwaKA8G4l/D/t9R/u/zfFP4ryv9L5P+dkLoHHP6b5v/N/x80yA0G9/lrgBOtBxY3ALpI3Bgg/tvUHPpnaHWhEJiH23+zmlgQbhCUEU44MQsIiwkCxf7gMIw6zBsKMYBhwc5/JPMHN/01anAYAmqAxMB+3S04LyDwvzjcfIFdcfcHBqfL3xQUNz7/3PceAoyE/JozEXEJAAiNBvmQAHFyEhEXB/gJ4wYSAvX+rWSAkCACicW5AHA1BgAckWiSX8cqDBQBCDmgQWAoHOqI/cX9hUX/wn8O8d84QAiFg5AQ3MjjOoXr/y/mHxmBPdBoHPlbOLh0/7X+fQ1Aod5QMMnkJyRY9rFLzePmkyplZi+BpcGrM3Ot4bGW3WHiWN6JbD9nnWvpGmPuKvaQcob+FIPPxaGjn/yZb38/GfK2fvs8eDr5fhYW7173gsqOQE7v6f5bJygbBMnkNCyZEr5AtR1nyEphb0VkxZdg/un8iWSH6ErFcv5FK2blgfQGwA1QeETJkcyMjVbObN0giLTk4J7D9llaU8ZQo61SPUw0TYcvCCJhMccqzVGMpz4LVjFpfd++vX/+rjtFdC9Xu7NSojyUhvGmrxZHZn98DyNt3HOtBgwer4r4kWpxUiwnY4FbKO80ob3k9I/x3Hdv4npEPeqc9FSDSfUDB+o9auERGRKCAUilbAZ+9gbCjvFaPo3EkmTPJ117tA2mG7HqApWXvaqzfdZBMuhzisV481RGnt1+7jSdrOhbd/Oi9YM+dwQKhh/OOhKNHWXN184IgU7KvWSanQ7nTueI9cR2auJbsgvLJh52ydxnbYiQ1Cl8TRifzCrV4PL55f73HwKdN7+GMajHbKgsNsTx766nMvn6SdsnlajgkXBe1bsiUCVMRvds2MZ0pm9ovN5n3JYKvzKyo5uKdmayQWd4Ucm0pP+o5g27/oAy5d53MVG31CT/O9/e9DhI8Qi7vPBhk/B/yDLYEIJfVbVXpjFTTHVLEZMUS58hkX/wfapTeN0DJGB8/8ZpSdlMf9tWj/7DV90tjjMHHhuvkwZyQhBVUcmkOqiaJ96zcC1dNqW2yka/hAe+K+Z4ebzFsiRevkaZusfRH/H3QTKBvoyRKZ32WKlJwoonTtHh56dLGj7dbXsseHRtrcGL2Xn1ZzC9LJSd7/EhZxJXVq0xR8ZI6naRfREeb1qkgCKTVx+tU5/37tyMNsu+t79HcN8uS2YSw8bIKnPkRFHyzC7XzTTCUW2GSP4LkGJf8UV5C/Ube3JFNjVXnrp13spYl6ivN2N6FVwPWg386baqJsaeWn2uO95qH2ai9oDL7VbpHZI+u1nytbzCMpTIpBoFeTUvIAm5dEhoDh4OL9BfxrNiu28dYKsxtqEU4McjZE9MfbUsA85is5jBHcohoDdJ34FdMkX50zv6S1db38VAi60081SvKS05UIKP3ZaSeKSPAj5kE7pVC70z7A/NGZBrVF11MFvoenAuNKXcNJZwT+NpH5nHvbvtWn1tdUC6JAUdKFTh5s4rSAh5Ah/JXUr3HQ/JKbtTCQ8xVEL86Cqewei1vU7boUKbOd4JUIzgUo5mxob+M9XXoEkGMa2CBIPqXHbbsqZtuOewxIfSekUtuhDll+z7SsWRDcYX7LrCsxnF4EDlJXDC+IlhVg4EUMWjFbWTQk0jnlAzLsmCfrLCNZS9M+08LtPI3shQJAoenX5WZfaSnMyqgmqC+53NxsnE1+sBt0SNHR1QPrqXkwvm7yPPSRPH+PM0RMwWG2tuI4h3TEsYM2MStPo7oxhav9CUDV3gpd+EqbEVj609MLzofGS7zjVlaHImpmLJmFcZHPnCtAFWZE/UIF7DQU1Qfze+Xdf3nddoMslkmeP1oqDOzw9bmnT9y7ARzz4vzedpyu8v3vVns2QPCyI0ikvdesLQaE3PxG+v0sgz69xgcFdnk4vwJakI18QYTQWHvE9mzwsZx8s54N27NKmtUeI2jbukgVlI9Wp44QNK97IeAQS9b1iRdKUXbTqAHMH0M5/6QSyeSo9PofzPiunDq3rRLbMOvh3aED2Onxm6prJPTb7ZsJyOZiW5Mt61FOGpYwBdH18GI542Ibm31wfZr+aGLU0uuS9Xp2VHFhwmWu8cv+ZozAcwBcn7GTa00NWrKsHzJdvMI6XCCsxib0fpb2HcMudmFyt86bMe+hwnBhSMEcv6aEDbpVzVAxU8EXvROe89v0nEodxl6x74Y552cduxJlcnSXayXTjZSW0w7A/azAR4wa6l73wwWmt6x2QZuIamjNYkm2feKwjytJw+Dxbf9Rm1LtqbmfXf7ECmiFq7tC+ymYg/fn4gKKSW12dUNIye2/RpbXkf3U8wM8M5MBQ8fUZSZ6ozUmXJ1N2oqxbOkVNglaPe5+ZFbucvMS0ZElKhsDmw90hrZfV9YNmWhUWIKamKCvvj14WtBubXT7TrtYrM056I3+c60JR2qu7hzEBJFX2O8vVdCqLRHC462FdvdDCM/BTtPGmq05s4HXKeelKsLg31X2H8YvCCVQ6Bgr2819udApoTvnFJk9KG7C+3vof9opJFQaKi9LaVY5nvxoume9TfblRWSh40peW9t/TRAme2vwx7ceVRntbGLXm4cWqpw2mhsnF8P20q7x6YyEDe8uI+zKzc8aRtmGZ2Tf6RC2pX2qIjMWnsdqciiMAR+oDahmBCtOeDZrS0Uh2lwQnz2wSjEi2ndltXfG3MXg0J54ZJIHxyLz394OnXMycmvlo57+AMKm59/NyQtgatLyuZUrcg9ydYRYUySEvEtWSTO2jvUbJibtM26dphLCgGXyuvaAnYitMJBJCUlZrPhIhg7cU+QTtSt70ckHNnqmkUZUNC6uP96JC8wJnD2O5PYVeED26oct1c5HwW4dc7gN3Z1HRyuIaOSCLPLh4uc/vxCtrTgO8SxtfjTZlJGkl7SqBQNGR9q5x7xlkedzchgK/m51XR6Iq0i4hkcHJntXee22pafP8hnbcmgWeOMovlRn2F6vXKACEYEJPXO6FT6yZG0aHJtlgiA7Vqb07jUqcSNd4iJfo+LNZwZosukoxpDnKnm+M0+AzwUfw51N4kXYoAdpKIS9U0T8zuDR665SW+rzaiMTV9hR07jXDqlWkyNmS5HUp2X89VSpKUR4wy/b2LzKICMN+E4jTlZG+PaiggvSliP5/sJKjEhz8US1pgNdo86CNQQujsFUHsMXzF6/kUl+/Hu2HYoZfWCsc8h6XD7TRm2Smms1Gu60XqGfBPbcG7U/yFdo3uch1GogG+anVKMnYeiVUrcQsRrKfcHk0H49WBu5TsgRkCl2y3at4/3AwdGrT1lmBw7d4leYCC26iuEgcmpX4fkfAS6/AxZ44/W6gLIltcxCLeZKYlwAx+Vue4wU2yQMCR/Hx8qNPzWGadRShjhLPnOcbX1Dc7yfBpf503yCUmSP7EBVtktvCqPTttekFMixh9haePoKIlFTIUukqnqUKiWlnVUIZHDWnbMvnOfE7kLfQtiEL3y06v2h5bBEpQ7KRrgCCr6MaIhanbW602x3Szhf3W4IcA1fYb68XXr9C3oCQOwz6aqG6UPLmxpx1ArADvnbNLY7ZyvYyXq2VacF9cfqodurDK7khJy8wteerH7viiEHKfc9rCRSFAPCNmomqfkk8ZXJu8fRaeMJUOh9s31OVzPQxGou+KHq6JmjwSMGSyfzX/ZmsuunT6xMz46ViQ1rXgLOVnZDyoLS4KYpK3k6d2FlmP7jGNcHkxMmyIyWJYGYfG1QifaYQ+6g1f8Il/3/eY3gYpSnyKxf9an/pk9aH4PMuLajXOnme380k/n5pzmbfIJ2j2M71via+jR81mo0bGnQsz4+59f1m5TENCfEORFA19+82d4El7O4I5uTuC3X6bPKswyysvo9Sz78kWgyRT584hI+Pdr1+KrdKN8kQP02ajiII5IO4dz01+zC82Gjikui553jp/nEuKj+1TGlorDVq0NTtq6bNgEVwE0WtorJfJZaPxD0j9c5VbQ+ysF7tNoBoVUxODa7HDKyUa5V5X2BfznVxaaStQa1T3nHq5czRrTpCFG2W+w+hdJIS7LnWgM+9pboV5IX7OA3oI7QNajlSzOv3Aq5ZrtTQ0U+wFp+ctFWS25RSpsrpNLM5RnA8ONQKWvW+MpjCjCtRo07XSpDQJiMxecrt+WR/HJ6Ui6Sw/HO1imJC5EkHfrE5ZsnpjzhoDgTPkWrCfTc8pTrpUo62OCnZgbyw3MYlttxW3Wxv9zbWUzBdYsidzSwtyKTViVHco8mkJErpM2Vk0OHoVPEnl1qj8HN694rTv1VkhN+TPPeV2oTjq1RHy3jOqehiSb6/3ODAwkotL1NPw2PER3oX+SMVE3O3D87Lh5CGfDmLTNwpYtruiTchp/brYvigMtKCw43HQDfCiQ828TGCXe2Ha2V1doNRqcPgz+qrea0G7iuNa77K234Sw/gQfptw872x0pZoFHmC8FUZnvXpFHGRb7ekTfkpVfPLyILZKE3jpR/pgE5lYWX5tmtCHNiK7kPEHNyL2E8GwPFuYN7zlezjDG/L8b8RG22PG1V1ODFN7sZh4pGmq3BSVsMYUq46cw2zrtBThZhDbfqQN3tAjjgqISxZWCbwaUSO4YzF/sT6h9P6zS7wqJb3r2ni15aMAjpy50pGREfhq7dCP+nw5DwZxiVvaCDRNX5fs1aTTD2eDmh8bv9KMsLqa37RR+zlJNXJ/6ezw2U8hLeKry+MpeciQMIws8kanQBeZnN9SpecowaONTBSKsCd/NKLZQ0Kyqs5ZyDAuqW/nyYwiYacSvKYi7SsRvW7R2Gabe6xqWAE1OcTe2JJiusRCXe5C21ewGAgZmcnJQllaJB8z83CJHp7OsFQSXrqqruGRWMDFyMJ49mQu2lt7RJacZhewqlr6Y1lWl/LDtmDb/uCgubNr7h+mxPRdauiGZ5FcD32PQPWWZgWvqbFeq4XkJwg7+qtfdACRuYQ9WqAcbr24OHtnVWJgplseH1tFwQ1s8svAPRXkSTf2/kk/fUmKtDWmUcLigASTW56Zh0/8XY5/LSMhPjxwzeF1abh31Dx+0rl/PjWVDNcCBd4XuIbe5olielpGw4j0mh/kB/PEqsjc+/yvqJwfbwf4JRRf/dwkkraoDB1mYN+cvRGKiVjIlzKf1pIbxRYeLi8vwghlWc2DRp+ll8iObHvEOoHGouPtcgQ/u8YMEZg45ScqdwXji9IonUxFbyVPQSbO7TJcZxb6VOrIYsPnSQ6nrpwqsTgThhkay95RYHvPR3mt4t0g8Kquh8TDCT8W0MR1Ipbe6/kFHjRDF/i8pYebtn4yLjKx5nlZr5w7ZGQ3VsfPlxc+1KbNOLy8Roukrj6NYaowBm8kYockf4oebCsuOKMpRgl/4oGN2Hcur9DQrdNu+9WeRMwx0PEeBYG1JsyE1XWrma8s3U8+r75zQB1A9KRZkUDylWJathwTav4zPVOiJNfjxw20l1jU3BFfee2ixGzxRHv2oDILCWqivvCoTkKTff85aY9GDO24PqefuI2v4g/T3FgH+8uL6/f5P90/iem7GeaxHnD+JONZVmKxftX3yFiqtzIaoot3jKbQKuYm+DYeruej4Y4i2zR0TtzGZH5Wzl+oPr529W0XfST9Iw8W9SW/9EzhSDlhE6i1g/4qkXQA8fN6o/VWZSA6X6ElmGNXw7yBomlGpmTZ48Ea3wFphnvo22w0+cWbEWpT1nHubz4jORr5EkrSaguxV+sk3Cl731Ff8R7w8Gpxf+4J3nT7VBTGr/z92vjayekrBU3K+gev4/NuS54mPAYZWCVcO/t5HdoS0hFqGm3s7bU9DUijpZ82/ag8KuC61smusHC0V0imaSjwcvX52CkYs6OaIL0MzxOOfTXPk3DOn9QcrNdMrWdrNtGs+tpkV+zdrS7EMWxnyzmM5jtxjwJCOshHM25DBfuURppAwsxc5XzTwyKMqd5jx2cpRExMRNmMtE3BRIrq6nXJRjntTzmZIt8yBiPxNFat50LNGahi+lWyRz+LaMvW7SHLCW5HjpLlkC9qN8qBJs9sKns3hn2Nl+nKRCLeFtxHKjh1IrmDVWq8rgjcEVe6+jEWalwmbv9S4ag0lcTpcwDUuT9Fz4xthk+kI0pSSFo9VH8e/0UYj8D+hM/Jcz82s+uTeffLoctxDNgup6/DPwzCNlQzi5tz6Q946Uyx/U+6r403CNcSpjbTtDLJEGU5jfUNKQpeMHwftXGZvSXipLi23oTenpjuCZcKJHnG+6KhQ5h/9GMs0RvSLm3Q5pU10gHPeE35e76N8Q+O5aU59zY8bx4H2prXeKyFD3VZbgaTbkbBWN8yx0uZPpKgGWEfWW9/lxOTV3n1RJhHveab79sDwUR9BjWyM8abr3dGX90r6ZjuJ9tSFjKpXI3ycgDXErjToIvgstLnd1cITMHHhfQxUtmiFxoPHS+iS17I+qKelTLypFIuvLG6TsZSD+P/MD9QUQt5HcLN3PDuleu1laqo64cPC59AHifZHfHrMNODp658unxc4rl6Vpthjix4jUdP5HydLRzEoENogeqymvp4SnZgeFxDk0ZwmJFt5F9akxvYt1/IcQJXaTcsI4HR00rNbKX9+KijNtMY1wQVBpzc2VbNah31N9ijQPF0A40YinvrL8JD2PXGs4SdAeDD77dYEsWafzAyDrsrp1Vf440kfWGwwqrToli/e8KqzQnju7Sy/yD8ZDMsNSLE1ip+p+Hnl0T6uFk5J4Rh1Z4fyMIKTVa6xbdf6tOL8YsbTkhvrVGnNV5BXkczRvhMf4Uq3QtgCdcavCj4NBX7ptLh6hkDJ3jO574oJP20jWJBrepTEsU6K6WZT0qXIF4gqyuLPuOP1G7hx8m2moFvBq8oOPLlh6saKXpjtGNokDpwbwd8bu6VZ51UQaVXkGK0kpYyRyv85FFExXb3q4HhSGKewTBFfqDAx5sp4qpE/N6K46I75avWaPfeEjp9ca2dCNN1rAhY4APvG0EKR90rl/JxOV4/+KPz9LtFmdW6tkRWCsleKoRQbrgCk6qqVKmO12/8eC/VHvxtTPJR/HAzpJL3pYC1bOlsJWSjYNtCNvyOsmVh2EQrsZcldnAbvvoAJoVvLXbVUOilvETbousX3pdHX2gYaxdBMJlRU8NHL76TjmdKNuYyR5UTzA2CNsqZnmwOjyGLAem1BrRGzZ2RY8gIz4iochPrjoK6VlfzmMf4h3Otm6igDdNyk+yJwGKywd2g0IiNLVmqAO2IpDVW4IqdC4YGnu8k8exeFw3Byy8n+m1pDOnp7bZ9wIIHk3otGZpth/fkGXv3Y+XjjUhILmywJ9eOOeBdKyko1cDLiwrmh+Xcvb3x/pBjyxemTgV0AT/4GK67UibTx0NYxw5KlgVyPLZ2Dvy6ZYhhHMTcW/67veeU5OvxQ9egcbFV7sdbzewF3PSRX0J0XR815H2hN+VbzinKu33ORbgYnEmdq0T7FSsXtRR1lAguj1Jxe7fvWoOh/LJLPtX7+fWj7OXaedkeuh9xMkMc3c/x+V0nCNVVKJXI7F3PzO/MTIm5EYkdT3nB3g2JIbZyxcSsytY+O3fX23TRjsgdbBN512wEKhFM18Yh1neCUi/dBFnK+mXaiiRphPWvIpjLy2yZhoYLiPaKifxfAL4fk+RtvWiJJW0WTJVeJoAhqWbXz2fiBuiYSeG3Emqxlwb8z5pWJlctGYWniAlkAGWRxkyzpCyL+TtfqaMB4hFcNPDZAX7ipXmy1faKtAD6lOb20R6XmKQraVplxD2F+6mKklVTQc1MIZkuGSAd/9XAJI33M28RKYXZVQNv5U+3ah09H2Eqo8+PnobyWEibblNoU/VAIyx7rTTkLGuKfH4+mWcgTwc8FU9jnMgPOSOQI6U+MhMKrVlJlAixQ98qOwzVwR+JKEC384KfB15IS5nKrNcTvbu4QaKT3WsMl32y6F60VVdds0chWs02Xp3giQQY1l8RwcZnKw56g8aMqfquxunc5OsW0ktTlbMmY9XWN6TYeQwX4s0hlspzXiHXD3DZkd4hKNGk55wpIbq89TahqXf0POR7nJio8ESc9vPDkb3g7WJS9iFI+AW97tkj7uZe2spKRtt7NTMWcDqweFDk+mwh29IumUFQkjZMv55gID+wEdpia98N+PwxXB3FXnEp4i2+qk3VkpUdM6kIfn7SJDx97UedQ2SGqdDP98QDHbor93b484cAa2bTva9WWz+bzIu/E/6UZ01OILCbHv5i+5M2iNpz/Cke75x1jUtng2p75LHDDzRebMVQRCSCu8I8xYN65HoopQ5Zhz+z0xA2tLoHy80NV2a14zo1kNe+8zwOqszGp9sQJBa8Yn6PqWXjguqm1nOJHEHoAYy6n5yDos7+jaHY5DXPtlfrdPaJVQrMYnqLB8TUgr4bp7kcz3gSl1C0lNJgSuFqzooOeVCKTUhU5LE70dCrgeeq6NvxQfA2gevlMvh2yrWPNH/+fJwlI5zDrF1b6fgadW42Pxjsvo/gvAGM5zNS6LlhUu/jLpTdGBun843UgdH9tTHrZ6apL+mOcTa+txcGou9Ih0l+H3LyCXD/xsu0dZbPQ1H+bbOXNYrKtNZRXw3CpbcTvp7Ml5RqnpC1sR8E6PTe6GJ3O12q23zn4zfMeSeKD/9rKfHaft7XHRHUYyUrhWKNh9Y80Wcv2u/kC43lzYzV8JdNypFzNg6f+M7zMraEr5Eh65uuFs2wCTqkcVP3rJ6LfzaWtFueBP0PUekTnA0KZW5kc3RyZWFtCmVuZG9iagoyNjcgMCBvYmoKPDwKL0xlbmd0aCA5NjkzCi9MZW5ndGgxIDE2MzgKL0xlbmd0aDIgODYzNwovTGVuZ3RoMyAwCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeNqNtAVUFOoaLkx3SEgKDAhIM3SLdHeDxAADDAwzxNBdEhIC0igp0iHdLd0pjXQISAuiF937nO0+/7/WvWvWmpnn7Xjej4leU4dTyhpuCZaHwxCcPFxAUYCMmq6uCAAI5OMCAnlxmJh0IQgo+G8xDpM+2MUVAoeJ/mEg4wIGIe5lsiDEvZ0aHAZQdoMCePgAPIKiPEKiQCCAFwgU+Y8h3EUUIAtyh1gD1LgAynAY2BWHSQbu5OUCsbVD3Kf5z18AixUrgEdERIjjtztAyhHsArECwQBqIIQd2PE+oxUICtCBW0HACK9/hWARt0MgnES5uT08PLhAjq5ccBfbp6wcAA8Iwg6gDXYFu7iDrQG/GgaogxzBf3XGhcME0LWDuP4l14HbIDxALmDAvQAKsQLDXO893GDWYBfAfXKAjpIqQMMJDPvLWPUvAw7A37MB8HDx/Dfc396/AkFgv51BVlZwRycQzAsCswXYQKBggIa8KhfCE8EBAMGsfxmCoK7we3+QOwgCBVneG/yuHASQl9ICgO4b/Ls9VysXiBPClcsVAv3VIvevMPdTloNZy8AdHcEwhCvOr/pkIS5gq/uxe3H/tVkHGNwD5vM3sIHArG1+NWHt5sStB4M4u4GVZP82uRfh/COzBSMAAkAgUJiPBwB2BoA9rey4f4XX9XIC/1b+Ft934OfjBHcC2Nw3AfaD2IDvf3B8XEHuYADCxQ3s5/On4t8Ih4cHYA2xQgAswbYQGM4/0e/FYJu/8P3yXSCeABPgPfd4AMBfn//+M72nlzUcBvX6x/z3frkNVZQUDVTY/+r4vzppabgnwIdTEMDJy8cHEODnBQiKCAP8/h1EEwT5uwjgP55KMBs4QOSvWu+H9J963f9eP8vfp8EK+Hcsdfg9Z8EAln8o/hwoALS6/+L5fyb6b5f/P37/ivJ/o/j/FiTvBoX+VrP81v9/1CBHCNTrb4N7yroh7umvBr8/Atj/mhqA/zpZNbA1xM3xf7VKCND9GUjBbKH/HSPEVR7iCbbWhCCs7H4T4y+x3q8Tg0JgYE24K+TXmwLg5AEC/0d3f1dWDvfvhus9H3+rwPdn8++McjAruPWv++IVEASAXFxAXjjAexrxCggAfHjuD9Ea7PmbwQBuLhgcce8CuO/OD2ADd8H5tVARIQA36JfoNxLkv0eI/0L+e3h/wY7/GPwqkdv6D8gD4Ab/AXkB3DZ/QD4At+0fUADADfkDCgO4oX9AEQC34z+Q5z4R7A94nwj+T2H3tvfv6R/q+8RO/6gF79E9teB/VMpz34vLH/C+Ftc/4L0H4g94PxW33/Bfw7Zyc3G5f2x+X8P9Jv6Df79sYLAn2Arn0yzcSizU/kNoy3WlFLUH59aoxBTTlkEqK6fPJ5dWtxsCzCTWiszgVZdLqaSBrgdLG3IsF88W6O58DhprMMObErWab32/m8drT2w148yPk30cyz+Qqu6lwX7Eqfts2/fO2Vc/yAG1EbldmSnb2U2YQDOX5NqjR8Gzurd4cfjF7JbWdoWgCu734knOGL3o50Hvp5lyLN/MUDBgIDhpsNiITzwJpy8up4izxn7SKcez4/gdxvC98zFe4439NuO9XKrL69pByUhpTEGDekE8PMHsI72brEw+51NYEL0qMfcWyMqFNA/rzD2Rtja75H5Hz8upMMfuf1pgOYEkVA1Qv2aGhvywRnJFuUhdZ4IL1J/wqTfcjoyjaVZZiRzpcbw2OqgKBj5EV/3QfrlTNciuIdVpLd6o+cbW+ct+MD3k+Vu7Vc98MWn277WGjcxLWawB8A9pxDi3ZW0gpa8WyO8KpI65hkg6w+DmvYDJ4BLrN2mmnw6LnrmmoDrRdy/OpYi1f2tn/752BLAqVMsIYNUDsDm+e9s5GZ/Lz04JZ8xFodOrCZGzei3HVvbdHFUBJ/7i4SCmNVdps17elMjY9eXCu8epptvC9PgpOn7coJT3zflkJXsM/Zd0k/zCcvri+E/T1MUyqeqmMN8ubV22mogMUSfSv2PIdzB/OfWCEUl7YsqSfCZ1wrb3DAtvwC3Ws3BKX83ucFqVkU8TJXXxC+nkJ69mAoHMUlKOdjjDuNCTiJ0mNowvcvmh4mhVxsg/p/beWzV/LR6xFI5xYbSQ79jEWnnPXfXmxuXy/EtL2PJ1l2lgoqj0xRnqltJzRv8Uien43Jr9wLGIkPrc2FSyT0Ok1/2Z/e30m/vJHzqrtDpqdNjQzFVHvTYNB23ZWukfS4vJW5N63Yjgu8tzNXl2MRssBZKP7UxaRaqYTO61ld3Yn5fhhCx9xf+wqpvJaWffkDqN1pGAJTr7YX/Y0qp3KteT+pv/uC2tAwUaMCDdLM842XS0sIY5mo/PNvor3/a+hyPvFVpHrJN0dKbScCA6QaSof5xzqTzB2l5wpJv4shkF0omSnMQY24TyOFeZsceLSasjNL4gollh6kOjqlkungf2KlKuMWKN7056mmOvLEa1zaa96GS0+LG8miNiV/oJtvDq+ph9KN3iTrRs5XHGKd+5Qz9o5hw3FFXmDnd24AyCd3okFLygHjiepu75TURRGHnMN+1EcBGb+gWIVotTTVfvyoQXpqPWtAsEi8z+1ZA86uLzkQ49TGJpJLdibFHXvR2a8LK00D4voYPNXMyWuDfaT7Z0WzEjm8PGUcZ9rIJcMrlPLA+jvG3chr0uGlY+YlJwmqvc2S34vwW4kl3G55U2TJU9BbGkeCclv7Txpn98VxDmvmzs1rKKZLzNoN+tJzeQdeNRdn3HeY78COlZcwDGBmAPhazuEwSweQtSYk/F1d5/MNxepZn8s6BNzLBFBiAIbj2gyehgP7KPBM8NmtR2CH0lv+Q0s09Azv1scky6QIlDZRsZWyny8kEkXxnefHfYR3LZok6qhG8RkdhWTHhVDfNpi14VyjISRd7o+6+/kBNNmiAA7mlprweLngbrb/fyFTqm/SwXIe8MPnkjYeBUEMG+AZ2N64TNhdPx2WYXPhb6KDqoFUTR+axW03+S89Dt2VSV7LH+c2pXnaIEsR+eYjghyuWlY/jlT5ziUpBPcZq8JId/xJnJDFwQn35Twq9jfKWoYJSNmLKgwg/FItx7vkiummnPdGdTmjmK6tm3d6iDkYG5EO1yuLzUVkgK/CEm8RYqVrnZHZitNqH0FA6Q2atlwMF2/LhSHdd8XqyUZCY6+FDDt92Ny+zzhDrRjtsZVaaHpcXhhEiTwNMP+dcrWNbKymF4lT0nwC/nZ4avCk4GaJwus9BMRhFny2sktOgDbrt0ZkzzBacWNE8ucIC6ATl4aEo+2HRhgvYSOZQ3KMMeUfPYA63v2hcisZqHeoVeUF73p961YYwtHpL0flsQ9bkpIC0ivMhqCpeEKta0pLGepuwIx2mU2+TnOhrCOKKqaVOHVlPwNdNRWiGQH/MDpobMBElfpG89fahSBWj6Sm0eybVFrJS3yVIj1na8Z0VgQ1450mG0vT2AjA0EO/Ymf3QE2o/Bh4Qc2U5zjLnPPJnvfGmPewr5Ff35iY+ilYUKpYPX0sVzM8a7SkhlqgY0t8eRM4M6/dy8d7t831zZdhMhu3CSpROJUmXvum0in+VQnq+ZdMvuPhcDiBteLFl4UE0B42gjB5TsTKdQKtVNvTYYAb68i+v13386PVxnppCmwWlzYgiIerf0eEZB2WofCVv+zSWt0Vt4jB9Wu1RqwSjJ7dT6e8wh1oO4O1u5/mtiK23rFFukpp2zb1kc5vIPMvLgviRumyaln0kvp7WUOK0eMrpWJK+haR/H3BY9SBwa4dpzPzhtNBV/k36pNBagU0Soz5nKKRNlp9vnKU+Ak/QIwXgQnJ9PMrZ7lCSsfaT2lmoOE8jLt50RtAKNqTTLcyhXvREtKSPEVaVjWZhmUO2exvtJGywRdfVWx8X+9kHSV9w7H1RRx58+WcifVsnhmkbr9pmEwZEASNzDh2YC9oFFpePNCWmP7xRqNeuXF0PM+E3Ukp9/aQgaJXqPfFEWEb/jZSkYnN/1qm9j/J0nut1MKu44wF6kztu2nyutv+uUu+kzvzw53WZ6flRu/rvFVYLXUkK3D9F0/F6xUMzt+HY1eLQSMXvq0QCeVbs71tYgB1liNibUpyKzqgmpYsmE4IAr7jZ6KyN4aKakxqqnfF87N0zToGVS3IkK0H3tbZVHrnU9jbkmUTE72Q3oP19JG6ZWCKMfkk6LInAySyRBJhH/nvpRWzbbN/cRs9OHW5Tl0IEUCSeKE2vC3VaJ5Sg0vj572a2f7nv9yWVnSzw4Hw9A1xjakrB+2fenctSBwlTYwTxjnT87ZnlxSqKUd6TpEKb+jQ4kQ/JLbtWtyD05L0jslBXdkP1ze/rRCpu+JBa8jtmczNXKfvtlHbPyCfZYwELmuEI2D3oJMyaQvpXzBOx66COqyGkQFLjDU3XR9J0cvKJQ37T+EnUavdj4k29XOKuciAijYOGXd+9v1CUBocYdKsb7efnul+DppcWzIUlE/67LYntANm/gpWo96Zrs/HG6hTNyvXtEsUEv/TSqzlsn5KsyjKwGfoA8/nng6j7XyFBnRHYxfvU1z8wnvuKyTu/E7x8KIWnrdwU4Np/XkxENvijth8YfWHzZTreDDBMYGeXkkKuXqT2FNyGa77FEW9dvsDdwue0qTAm5xrEIG21LG7M4XIqGjBKWz6Ic225I3jIuAZzHGnscOLQ+xNt1UdNinAmExr9/Qy9talaV+KbPTuJy/5pSEaNbXgJ/oKM1wSdU5W4xznKQsRyUjFe3Ol8s0oZl4ksiHkT6vMkfbmC6mTqU7SfhJKapqCGEg4lLpF8b3I/Uatiyo8io807y8Q7kblnn3K7iYxNuqQvKfI12GvFnEgOZJ0eZtgTSmi2VQ+AICN5DEwy5oaidcTeIl3vrM0+nTs+U0SiUiCmzdxjhhBzPB4E/V75tMp2o20t+XZ2TwtcOid57FuBbqNKh+e0BvxR3xIPTwCpOg/XRN0lvvqRPHhGbpSyTGm8qcYrkzfbGZGtW+JNQvoaEJiYonRhtfHahKyHQUKsSGHng8rOEPtwaNct2ZH080JPDL5TjapHsS266vCJMrpW2Pt2QVpbh2xSBaXYY8h2UkRmfeG3OvZXL6KlfEHF2laXerRKFjk/aAK/QgsRX1KLJQ0w8eekMh9CVJzgFO4GAcFQuf4ae/oDzTUTWFw0Kb04+7VvCqO1P9cYjJikp8YnMkxsDdrI/rnwrpbRWFWQUAaLPn0Q1WIBiJkI2eBsvfSTg2U/R3dDGmWOBd42rza/FwC/KgTym+qNYvbxWhdf5mbHVFunZLxJlepR5goi5syZUKwx+4KcaWTkMfMjPjxzHQqfBvuj2s3ovvICsKuNbWNVrG8LUYlRCJ8IVHX9aK5lxRpGO3AyO/DDOHhg8Q9CtORl0eazEz+H3ONsLSW4+PO3SlEl3+OnwXcjJArEfR6cOdj59AFtAJ9dZPh52Yqp7KmJrXOjF1RkNuQmlRn1eF12VNtp1iVFdOMmLAYzDi2SdTJ3pYoGZt1D2pwQjsS1IVQ1QQsGKLb1yo6bjoidlhd/Mc52Y0DCPJSq/m5qJOvACeiks29H5Jj+4u6E8/xESF5fiQJ/+onwH9ubmgnf4ZcgzraB4NiRyEvcJv2kBbz7Htfn0U+6PF4UV1aVZlDXmhJFn/u174wo2J0jkCofF8Yn8r4M53pW93JcoELi9ZspZaDTdlHujGGUDG1gM9Hz5UftRzelNlio33ZNGgBAWV2b9xlcw+tVY6/vQVxXh4dSgSQW/rTCK3S5Clw85OP5XrHglpuKMSegnFbxutfnU4nfu4qdz6pokvrlS/d8VqBzyh3G5MDWNyj5OTNFqiBU2t0prZz5iLSuCl+7p71d2n+j82BbvCU4VA/Vq0fJEu3kDI1R6mGi0B9yRYbZi8T7l7hcOJb3UR+Ob/vORsCGzMMzIDuFnK83FRpf1Mw0s81TlniefklgQfXTMhkannM1lQmwl1KfAY89E1mG5I4RMu4eYLYiBR6DH1MSmGsqFvbZrHLOdP6xkGWtL9mrG1WNNN4a5pKjAeLjhjlU2TLGM8gWiGIxXNyyY24Dv3yVwNVcnmUk1X55dM9aHfrve2YW56hCxSRP2yIWLtS4JWnOZk9Tvaf6BnFYyQqvMYIKPNwwznQVauHGATxO1PeEbpDFnySmfvDNhypX8qFz7jabsw9fi01Ubsrcaa7LoDRmmsl3lXarodBJo3Ftp/bkdBBedKkcP+i7KKvMtZtcG5ENstcwHlXA+P0SH3TprVjQ31ZeYs6TazitQqzA79jQhGry79r6XmSMXw3HnLPjfe/Pnc8YIYfE4HFsTuia98ih87olvnJUgjFqDv+f1PC1duw6FOnd18vBkDIo0/GyaNnAxI+xsaburtoYRrbDiZOTxywHqLtCTep/p4FeQahJ/Faj9xJa+9NHXo0RvvZoAbkMePJ2cTWeJhh92zEJuZyVoCuf6hbtYUubTnXw9at+/fV737zILy0BsowDDP6CgKDCL9/XfTs8l+U1SnFzbrdR2v9y8AYYO5Ft9mqw8iEt6ShiKVHceDxeMaGVd9dGSfl1qaPJ4RaZHic8+5Af4LCGCWz0QNatJz5CIPf+AEmnWInw3niEK/YGmyfPbNaSQpk0pwyYQlS8kHy35NZ4irIzOoZGDqh53ShI3XjnG3IvPjKgL3Wrk2s+XDIQgJ2jF/h5DJo76WYzHPeFZzooPkdxkaUn/ECE+Xjppbid3utyhELskAbVF7TS7UJcuzTR66kAEd26Wfx5vQq48eCs6ql4p40yAVaecyPATnbt6VA04JDMxrB9berK83dGrK7LHnGeWH/G99+uX7KtpaArQI/knDp+KM47u529LYzHEZcPdz0uRp1q8j2MToI+Kw02ZLN+hOd3ZvlmiE1LAomZtRXyuNFnTj5xQz2mb/+Hfp2FWEJ66Ez2NT4PibhFV8t3dYiLckRCnN8Iw266h8C7lqQtZVbtoiAiYmkfnXF3mcI3Ranv+mgkvknCY9IKRrquAQzdHDYM3akxGY/m7fg44SyLpuk8HRWjdLS8oyTwulMDHMxM/aYHxUPSx8SmkjWcwvBiaieuF311n5qt1+zanUnUswqqdmXJcEZbAuoSFPVY4+K3f1w5M0U2xjN/h95UgQ+m6SW3sHCu3L8lg5oSNkJ3TuPRglcN6pdjLJqfQ0X06wxSB/UMMjYbaYoEoCF4zT2n6OspAsZS48suaEeqyH/kTTXWLJh03aRsyRo43xzNJU6qX05tn9RI3HoSO1UBHan2sB9Nb2MnQoDTcCF0NGIIyT3BOjcFwKGTj0WWQc8uWbKwNcNDRVUSSpudtunl63LYjTNFiQypMao7IcTK9iRJndqksEZRwnJuMtBt9ZG8DG9abX0yL7pZ5m9EIykPUc0cv7fRstyKdui8uza0uaDo/kmNU1zQz/xQWbP1t172q4fI9A6FuFpKMCeBHu29hK0GBx2QQj68Q8XmKNNPUz7pdm2C6PHKDshgG6451QSwtTCVQ69XkmxcEvXJc6+JtOm8gmd86U0hm0lhJZthr3+IOM433ohlZiGHHpUSVC9CHq8BVdZpT1GdoEy7tNO02ZU8W6rTj0yg420LLG6l0Tve2X4buNEtiB50WbM3k6wjfotFF0RencAyOkeGGlriPqZM/+mCC2gKwGGCQxgRtJ3QJzNJ1PY6ltPZowtwzYDKCRrb5k5GLctcEPy03LhQDT8t3+qg/zvaZ/OI3KCnkdW2LQ5JqR6lTH5aLt2aBMC5gwGOjJNvVkmFWccVwgw5OK9en+z4QnEOBrDC6RMjNyhva2o62rTK7D/YrmiuVFLBW9y2ralOss8VWUdeja3XZDhhWILml63OMJzAUM5m/KqJ5pToams/A777U+K7rU5F7YHezcd8FPTrO1szw0e2q0bNr1ahIUp+AYffVpnj2IMyXo+psRmSJQ+zOENNrrCNuM1XWDdqomiiaBGpHr1UeKomziHCV/VqSWPy0Cn8fSC3CZxK2IPnkRTjvB2sqjtrN1oxRonGXiCNE/Gr1wNXrS84W+aWwsgLiqHyMCHkoJa4qtlckqs3HbXlJtd1A89zgZTZQJ1FyNC114zxKTyeVwEzT5lRrUlc0fXNpZJ71e3xegpcboxkEkJtCD26GMTFnG4NThtgUM6zyDSAjkS089LgCZHCW477vyPV9JFd6sYPb6tlbH9F2a4ZAqZt6Cvexa1NNPxnMEzZmTAfPQbHzHIdAwaUXkwSeAyEoTE0z+GaGvBOq0bamOQnX1Gdhw/qOFfVlyAVqdp5Xm1mazMcs4z5Z1Nunwba3ueNms3nk/XfYPfnTCUO+X6qaWA6tHfq3qNoPuXNGl5piFAOnX6M6jyk/8SiVPspDlLdSvw9MCQp4a6uxbKFRlf1u1Wr6vDERr/x5pgrbGXfqCNFtzYPyBqy0FttXH0SML8WB7pvS8fXntAYqEikBm1rxpiCRB+JjHfrinGVqYEsz35XAPGfqvA6GHrOx4TlmKEm2716c674t5OeElkQdXQcx0d6FyxTaFsDRBImGclIU2UWVZarhLCwUZNiVmd6tBK0tAUddT90FenxsJZtAlTQuV3cMltELeFFzM4//PX42LkkMGthhhSZmJvG++KqFG2lQLujxwVqYM6OO0ww1NrVuB+YJOQCPm8tZRUpuBJd2WzA5jvBrWcHQfrfFiJYsudRY8TjNk1lYgSAapkbhncLkBuM6luxIwjmdiVbzjrCruLqsYKqtaIV6UqFfnHDcSKtbol8eCAtr06jB8MDqB31OMh7dKULkWzvRglsrE4Nmd5MbToQTurD0JoVyJUm03kXsVoljej5f5ilMKm2GeY8DbjjPDzivZJ+TygteHNkbm2zhX13rXkiEZdSWmH7u3qy/027NWWrFMPrh3dzlqVglou8zrv1IJOGKilqCr9x7ELOWRdB467HoaHXi248cIJLmsRdzOd36qPSCDFTdshA3irC0uchR6iTnJAtGZ6TLuEN3XEL0IfUXjzG5U0O/eL3Xpp/M86CPvonenPiZ1yi9gkZseaIObx8CLR5dtEFTbt3O82raZqs2KqgZxbznuO0c8XtYX03O2Spbyp+qgoa3ZYeg45XdUDaOQt0HZ6cWe3s3R6YVaZ7SNrPDFNczjPJpuX05RFcasV0ayUMQO8bOZ+BxEmk/FnZMLTxR+6SU2o9vImWTuzxihRPJY1vKA7byzpMEUQ7DLu0j3j7k3RK20VTgwFiqddRS1fCiUV6R5TidB6L1KO/vcfjlwYTaSi/CQuCfvhXtFYAP4o+iwpHb+b9lLyEXM659Nry75hnasFktn81Sneg9uGwpxHDfYjU5GvoCBZhkkVrbV43mbQpYg145ZIhvnrRHfMBs3f/UgSkhRv3RdwZEgJbxOPwBl2lM4WlGjJ2MkMHXAcNRwFUkmNNi3hnzQXOynFN1hsjZ9SORaZwtnrZVIlTy99wJWxbuoaIqS3rrXFz6dPCXty2XoKZ3C/NkFMsWbQdvV69V0V8k76Y++WJCOXZ8To2XN5BSxdhZAny6pvxMmiepmNuT7QhMoU3Yd/7cUeh9Dgo3fi6jcM/Cg4GSJ3koOw/TKwFHHrV3DUtOpfsBQIjw97Y7zcfjTXnNRulk8vif7kgzHSifdh+4OgOKUcVSuS4E3QdEwkRPQ9TrB5LzHx1Z90eAZ6hm2OusdVaz0t9jPYBEbqYHvuARCx14hlHzcnwD8sUZB7p5nZzM+hEFMNb4lMTWUTV7gcW4s2oozOYZFu4cxisXsTTYDSIH38rPG0cX7LpLtQPaIjHqeaFAJrVUSUrPFaIo8lOBqWOwlboyeMKuiIbzhc2Nx5MpCs2opA7LE2SfnGzUB0p3xKMRnx5/O3AMnKTIwPS6kHv/ta20b6vrZ+aWotbPy45jNl+7Y9/tIWAPQbLnoUZFjzxW+Mppocld/yPM2bl3yGlAQuta8AyFmfWDxIOu0AIb82ijzlzR3D3OtWjeZE08ru680CsyRdOffBoYpm3E/NxRKpPMNqIfToxYkTkjKoLqpDvTPaOr901W0Z9aPEd0zWIUJTQjBdRnWpmg6NON7Feq0N9JPTRVsKLcVlGdssad/uAtNNif2zUxZYtnb6Kgcyp4Q1NnThNgo32XZ9Be80axpyIBsSXIHKfmrkkbj23EJW9ASG0L5mc5Hp4lF6HiCmNzEF+mYdg/CO+MSRq5HuIzr6ct74uVcTOAs9kL8e3eAVWr1Cz2I/z7Veyl+sAyIm0CjLr7Fy89U+jOKQKryr7pKLf3PTRjfbX4xbm/ITGU6lsyWr1g5V6BZrWWLqFGyeII+498p0bToHIbewW6cCatOd3jtBfFqp30mSFo292FzeYYz3JL0gNdy1JSPZYWojZfigAkhArGct+AH9ct3SQe+U50YcX7iQtIQ0lefS12USyOyqIN6hO5ZOaL18ajNO/Q0cSaCDgskNk2HNTqH+a6HV4DQd41hqO/lFJa73VcmqI72zWW7siQ16OGZLBOHApTpLsmp1ah/Fx73FjvhWNYLQ4jM+zkHw/sba5OasbPfeidZUl67f6AOalxbFbHl8cts8eW3t8DWTdp+Zt0rVxr+myWfmDnq8xldU7km4zTYTQmtqqW5ylGBapP0nDxHk5KLgzKbVI6Xl4NBJzi0Uo6i+JIJf5UQHGYqKdJ2Xf/djZpVxGm+00kXPUpnkKa+dN36vvON6vXIjFTEqRqm+BlouKwAizs3YqDsTgj4CM0FhPrw72t0siSXrKbuHCQ6ghp+d7IsS+2gYMe1AI3HNfw8SvYD1897tOdWrpFWfkPKgD3xVCxE/+mVPHIwQP7Wm2l0KKfgwo68Qp0FdGz9Nqxp1zxCAcEDxvq3it5FPpc150SqlYtZP8ArJUhRobPXdQ5j5mKnwrvl8o6UYsa/wig/7quEF1neHsVUnTIDgyVM38ruWtUZcVUM9DVqpNl2T6iAZNm5mLBIx53P1FId/7qdqzwKDCYTmjDmaChaSHk2ty4IE35FL3lZ9DmAgXMaeArvvCmq7vDrDDXqgu6YRHG/pSjzt2htK6nfcHSR5cB1JCDAZRV0x00luI90c/lz7sKo+oVTGYfEuec0RZr3lKNfQJ4A3mcWm35lLO/qEfjGCRVckfJRG306BGGMDoQP9N7e+EwEdqCQC9WiH+2ibzzRsc5y7bQTtmU5ihIKlMLG6UEM3l2AYm9XMfOyDkvDx0tdags2H/00QHd0OiGtYE0kJ6yWwyrW3zzOq4cjRalaMxJFpcTVkTde5U2pGqhVmgxoB2KyvCCYKrdrv70Ez4Ohy7SLPOwwqTC8PFwDv8J2SxtfXMNk8jjLaIy7sNJ/MtKfNVtbhVthhgGNVJ/v3qeG83Nqw2jBmjHDOaKOEn642a+94p8cItevzjSwZEa1p0llLDM769U2ukDP6uxMmwSbhCzixUfOEAWTOTgAavTbRUBLzt9vdy12BbIzHF+POGovLKj3mx331mI/qaGeRhfth/qllTz46zvhpthvuywgsDw1hN7lwYCqzFPfsekzNPek8UROlC8vFyUo2EGR/oZyIRa5YjmedheLbKnq/+coApcmhVxIDfIE3ZYFGnf9R04lesRa8a+qbdbty7d3dxg2hbg7HzsqyUlU4ZEd4AUNUqqWKf6jm8CMJbncDs3KX8uThx+apmWWfmEhWKuaRe/VeV8tMw/l9ydX+ENK4i2gtmYEVc3to8BXb2jZ/Wix8t5uzjPSjKvbUqoia9Oa8VGT0d+HCos0qoE8QM2tNBHQNOeTUBiL2ODf84tWvsqsa5pUoyByH5qWWy5tlWyuNbstDubuDOhfpdbyZz5OBEqAbZrIilPD38C47acjtftUEVtha3sK3nvx0DI9fENl8yxnlCuuicZP1dw6k9NE4IyXxRvtnVqepMAsjV/2GOSbmDE7fA847IMaP0xGd8lTeuDHd5IbDaM1ueggBxDLT73Ylv/kEMMS2eCQhn2RIsUy6jo3eGjYTT7zmHqmKn1nTkrPYW2CwKDT4xKyRE3GQ27hpWMp76sFmesSfE0XRdzn0K73QhsS9q/+AkTqE1lisOFLdc9uhfXLGI1JjK5D54oU8zJeuJ/nk2gqfPcO06VSBximTU5JiWoe/AIvtmbwp5XhcyX7qL43EpSVPjcjNvkOftuCn6H5XTAKdRqCRdVIpelzCj3NYUUUcL3zJbb/CIJQkM0IdIpt6rcesA4R6bv+3pUvFCeywc1SdUrvk5hiXsKHAeSNj2n+uo1n0kpyATau1nefHrt+Li/+mVGe3kb3R3jhBM+6ZNo7SuMvq5LY5deFa/p0Nt1K5iIc/jTFRFB7yFvyG5s23XEhPnr4IIXK/NYy+pfjjjzY6oUuAQsmDVkJPPL0AoIa13ZFmPwy5psuh/qsVVD09erMSe1m4UVRk4fmqCJm3MRyK9OFhFIOWadS4pU7LRBVYqYovMjZU96MtRDz1pXpkNc2ROWDb8ZiO2wfWWQwHi1TD4rITmpVbl9Ml8TPxlOtUizejZeMO6UdJlOgXTelLi/7p0ObHuZqG6hzZlbVIHUk/dw72Xsqws91SHOianXrHs6+T4FzlfTl9C4jMQCrgr5FYZWvZtM4bWybiM87AokzHMnRd33T9Pz95Mf2l1kMOUYOr2Sruvh6/m+aeRRQ50xQV2pHRZKli0fKvVOvbrQSSyIa8qSsJV+jVIG2IsDcrecvzzrRlcpHUdNXRjyqUW2GM0jaUE6GZyh2D0sw1vxp0sPBy55+qyrflwjdJHuGhHJN/zE6c/7fp2JfgBvTtDm9cUb3pgNm2CPWDz2goo7JVBDqV6vZGlv3YaIRXDZEYm/cRl/UbyJVkTboZNKkYDJTGdVel+Poofki71rBcTDypaFLjJMvPz4g/kgU0PFju6uawRX3pWtNiZiMkPrGr0g/ZG3IXnSh9QLs5EJyXJTEjTe/wMFxepCDQplbmRzdHJlYW0KZW5kb2JqCjI2OCAwIG9iago8PAovTGVuZ3RoIDExODIzCi9MZW5ndGgxIDE3ODgKL0xlbmd0aDIgMTA2ODUKL0xlbmd0aDMgMAovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCnjajbcFUF3pEi2Mk+DucnAI7k7wBEtwdzjAwQ7uQYK7BHd3DQ7BXYNbcA8OwfWdzMydmXv/v+q9ogr26l7dX3d/q3dtaCgUVZjFTMHGQGmwrRMzOwubAEBCQVyTH8DGxsnCxsaBREOjCnKyBv5lRqJRBzo4gsC2Av8iSDgAjZwgNkkjJwhPAWwLkHW2BrBzAth5BNh5BdjYABxsbPz/IYIdBACSRi4gU4ACC0AWbAt0RKKRANu5O4DMLZwgx/znEUBvwgBg5+fnZfojHCBmA3QAmRjZAhSMnCyANpATTYysASpgExDQyf2/UtALWTg52Qmwsrq6urIY2TiygB3MRRiYAK4gJwuAMtAR6OACNAX8bhjwwcgG+GdnLEg0AFULkOOfdhWwmZOrkQMQADFYg0yAto6QCGdbU6ADAHI4QEVGHvDRDmj7J1n+TwIT4K/ZANhZ2P9O91f070Qg2z+CjUxMwDZ2RrbuIFtzgBnIGgj4KC3P4uTmxAQwsjX9TTSydgRD4o1cjEDWRsYQwh+VGwGkxZQARpAG/2rP0cQBZOfkyOIIsv7dIuvvNJApS9maSoBtbIC2To5Iv+uTBDkATSBjd2f982atbMGutp5/ATOQranZ7yZMne1Y1WxB9s5AGcm/KBAT0j82c6ATgJuNjY2XhxcAtAcA3UwsWH+nV3W3A/7hZP9thnTwydMObAcwgzQB/AQyA0L+IHk6GrkAAU4OzsBPnv92/DdCYmcHmIJMnADGQHOQLdI/2SFmoNmfGHL5DiA3gA4bRHvsALbfP38/6UHkZQq2tXb/h/7H/bJKy6rKSoox/tnx3z5xcbAbwJOZmw/AzMHNBmBn5+cG8EIePv13GkUj0F9lsP0TK2NrBgbw/1ktZEz/qdjlLwHQ/7UcDID/zvUBDFEtEED/j8h12bjZTCC/2P+fpf5HyP+fwn9n+b+J/H8Lkna2tv7DTf+H///jNrIBWbv/RYCI1tkJsgAKYMga2P4vVQP459KKg61N/9cn42QEWQMxW3Prv4cIcpQGuQFNFUFOJhZ/auVPu9rvHbMG2QIVwY6g3y8VADM7G9v/+CCLZWIFeXE4QgT5hwsI2Zv/PlLK1gRs+nvBOLh5AEYODkbuSJArhiBugCc7ZBNNgW5/SBjAymILdoKEACDNfQKYgR2Qft8nDzeAVey36Q/EywbR0D8I4pP7G/HzAliN/kF8AFbjfxA/gNXkbwQRGqsJ2BrS0n8svztjNf0XZAewAv/h80DQH0P928IJYDUDufyLwgExgJ0d/pUCQjH/F4TUCvqHDqnVFjK/f/yQjWMF/w25IPWC/+XmglRgB5Ei+F81snMBWP91HjvkAMd/DviNgC7Af1rkhtAdIQv7TwAk5786gpzvZOEA/FdLkJE4uYL/FQApyvUfyAGJcP+nQshMPYAOf9L/SwEmzg4OkFfgHxsKkcd/8B/vWyDQDWiCtDgHNhEMsPwa8O22WozYlXlnXHiaZkcjmYHZc9GhzfkeDTGBoSr985rDtVjCUDfG8pYU/ZXoEvmT52FzHWJwyxel1gevR4NY5cmdVqSFCbz+7/mHYrV9pK9JmFVFd72e7L3U/axgm6E7ZGmy7Z350BRzsW9de9+51faV/hgNmttR2q3ikUN+LJ1ijlSL0PUrmqHJMc6YJaBEcGImffUG68wNfebqehor6/sLuWwsI9Kno0jOAk/tdY6ou1mPlXJVDsdOQmpCbQJS2Cus0UlaT/H9RFn8ec/iwmjZoPBCM1L9uUaRNnQje64aio5FodKR7xsjBD8N/CRK0bcmg6JNlDZpxId+WqtktRNgZdfyFk09sRvkITkqte894XmEF51wi1SEFbzFS/mhhLl7LhjNJz3yqRVHKcOLWS6E6dPGHiyiiKIk0hoP99xjPNGkt6EpsRoPo44u9+Rne2x/aXGR9LlaDMSUgtolduyXTn3BOgo6f3UliiyhujxqnkJLdNUc2qU5NXWo+Pvv0D6S9t5VhpoWA9rDUK5qFcuoe4caWIs8vNQW6jRO1YOWWGv3mzykVR3E3nUW+M93QpFZ3NmdPJ5EH4t/FsBms4Ap56XnkwitjUCkZKEU0x9SkwS/sFYE+yOA4nuOgBjIWPLcjs0W1RT5sNt3+Qg3Wid4iJ3is8juaXOt0SQK3l8KI+C9cBViPTd10cU5y4Pmgr9DT8O7PcNqaa4Wj9h8P0CowX4PprHuaA9gkICVk4ZKdI46mamzjqnR8sa7KxNiikt4pj05uYbSpiLQNz85vQ8vJql0W6fjcW0Q54OOLZTRWKjGwfSeu5FkIVYtVcwUyVmS6wB/CN/z+K7Cg3EhXEBPZ2SYW1id8KI6iewIVDEtlFT3+CGvXwAXVFY44HVe1IBg5WMsjOduGRp/nXpsJPNLpC+5t49+voBL//gtOXxuFSqd3CKm7cFRCLzhBNe8UjJ/QCAyC8rQ7r7hCnkgGifYwntbusW+JA0qGrpBMNRDlpgbc711kYjtC96FFF7P49Oh4sPcgCbm7pv+1F4l1Jf8raTkYatEMi49owWYqRw7Bf5Q3WBrnczbpuNabTQG5/54VV02qzqg363PvjGBTI2Y4Ayrp8lrjE3ZF+zYDNvbF+idzXT9mXdWN+ZKR2NsWml0PjIqkoJi5VM9nLGH/Ci+FiEncG9XCmEx47Fw8I2HZdX8cLhXPFxfJ0at9JNYJtrJio+Tq2l5AqkWpV2hHEVbHDaSEWQSVez0tcCX2r+86su3udGzLDI4Ot4sBkhVjeASoYlxkWg0vM278+pbm0YfX1eUKEAYuHNLJieiA/jGl0/E4MJyIbkQd7M1qAXQycLGUoHt03Gwp0Pb93tftGhigOa7cPdQ5l44C29QGDBVtMGwfIgORIJ8FZka1uQulEUOhm35atCFL1Yr8neTwgFLwmWV3uqtREia9XnDhkgDarAu6Covn10F+YgT7wlcK13fGzBV6Hv32Jfpkm+QxddwDuv0WdPySX2qFDQ89MfQXipjIE2pRW/88l4b87QVbYMVzbdDBmWiR5DTFcniJrKJGtGS1SOgZYNVn8mAjCzzG/kMoURKZof3XrMYb0SP1eYPu8bn0DplC1h0YzlEksjsaIJCtqzLqGlMRyUHmdRdQS0fyTQu5xV4ZoFMu8Xb+W/qHexL7rTPuBdCwx9OZaZZcUFIP3gPQvfbVtHuqKJjG+Tr2cn4Yn5O/WI/lzoTrWVQrTIUX7s1o2mkXTT9XhSsj9NxZwK1vIBxbSEu4M2rgOY2aqUgRcbuLXuVvGujHlMzCJREvGmbVhUarmbjQqsINCSb8VPsT9knkrdlnIKzqrSSztMKzQQElC8M8dmll/OF1fEFw0u/U2ENWJ91dNBAY5d6LyxyLjUpnfqNStl0sNH2waxkt+8DIVyhVL+HmTwD5zCumzl+NMcOJwOSXbWUFvYSTfMHzbTM+K9iJ7c5zaIaSkr7g1ione2aLy/UDqimvDChaoU2ua7QcqM8jB0caAW1xItGM70nhb+yE7Yw16sJcplsG/nVjQsffQLFBOJWGbj4rrO/e0SNiMhkxdngjPJtZmlKICwGy0s3nw+3RK4VooXBRVldmtOZpSNzAPxWYaY93toDOd+WX2xkMtOyq8vVWRewpolwVcPQT5754R1NP3OHw9t1hTDtIsh+XQ9bceAxDGu0SyQ7nkkdmO0eGDedj9ibXb5AjHxswNI3XaVbFCwvEeU7gIGF1SON31ietRH3C60bbSclHRumlKyMTaJpwrms74Yv7AdFF2BlwTF7RuLipuQ7ub1x33XCEhITUiFl9t8hn6DfMwgwed9dL1/V1zNVyRFrEctZkRfMGl4t+uMQ7op4jXCshC/4Tp3vig169I6t13E1FzpJRMAwwi9ZW29LLlWY5WBwSlC1v7R1a5FMM2UDAevSpgsTqtMSL3j5RxeyLeb8ZHMZN8ldIi1LXId0pHcvlKKefmMYrzRY6TLUhXNVwJ8DpgL7YMUh+b1KOBovLkWcSibZFHdfo0xm2hhJC3SLiss7NkFh3EUz3+h8VmMr6xN+0yX8jAiUc1ssWomPPgivsaxLxyjfAKtEbSl4Bj/5aFvWgZ2zqXy99hmezErf4JG3L8EVMEnpo93U9xrt3xIS0zNtocZ9qYyQj9xCzg0Wy7GIf+43eNwkHiyNrlO2NocevtaCsYhMxTea7o9Jwq7paPsGosF+jf94zZDXbGOYrjx+K3kwHYz9kUuwPRhTswQ1uj4MU7SPC2ez1qRnxULiNKuQZZxrW9rESyqJuQP26XaLuxjloxgRg3Iop+8NaW7iB+IyT3BlnyEmiZGWmoO4Y2Q2Mzsst+NyNIjmq/Z3LcbYLQ3B+WdWWUrnb+NnaYKXOxjpo7BTfZLmMmjIbvwllMQOrkN9+BZIwWXKJBGVw2F4uY1r3nIW0Xmhygf6w8c9XFztYxuOobwKWThzcVFWc/ITx/v9V+EdyVnbZ3jk/Vg0iy4f7RdVGQPASZEwLS7WYAxdxqtWu86tS3wb3Ulz18Wi1Ols/pz23DaDRL4YUOb6NbMpw+vekqqaUkIiPCqJV4EKVMgWW3xkdjU5MZkXaq8oXbFZNOBh1AUIhrMH0reCP5ogx7yiIkiLW8GkOfTd1T8CS8fGvrhhS6UVza9dWVkjD5MN+lenCK2j8bi6WyTpULeadZ85fy3ItPe/9qMxmJOwDUPWnesbLH20S1+nKnW5Vcioni01JZxa4kD/gYrfZ06EQlySYKm8qM3klt7QO+EwLs2nGCFEL+1/abja5Y04oNGxx2p60ChhOzeQ5JQ8rjh6TUzS2eMTWNtmNn5OuU1YRmcrHyEBHESQ5eandQ/7EQDEv9dPG/m4/VxPPPPQKtMywKab1bRGpK9Y3DJ4VYYntx79PPMu3/RXrSjHcHFK9txjDvaviJrgEOum0VENVthhB+1AhOjorBldb2uyRlNxZHoqLPCnsffajq6F+eQp78GTiMtBA0NsnUc04Jrs6KNKqRLhuLXt+Vs4O98tPFO5V5lCCp/8QmhQOIWRUgKW2SRsssKA9St1IjEM6WhlKwe7pnmsDeaP9ftag8o6jK94KZA/29bJPMG7Nk7xIZyXvh5WiKyRpkN8ZC3ZNuRh/hZUb5rD31ql4TS/5rlsCC+C9lUxNYGB+vFnlquI3tq+57eq17cGsrK3Ol551adGpzFosnsTpRJCNnfRLYCsYsnr14ZniL4LnV+2LyJ2wgMzGgNdebHcUTcegHgPE6mS9xviXLNpgX27CY49Qp9eYZtRaHT78dQhylrB2hKYSva9S0Yp6dXy966QKnn5WrNpIjfd7I3oRjHmSawzOiWDn8vU2F8/aoL/itiYlT7iQ2j70ruHnB4fAefJSwolnlTeJlGfUAap1V8XaEzJUPU7ZgF2k2IdLeRGJjQrbvpB5LjYT6/JPTLIafRKh8pHq0mSNeujbUduVw+8akNQFFtS94cbesccf44Dpcj1uOTWv3bZ9L11U+r1CP/wk7QIc1ZKSOPSNxXZkLXMZpGNxUploJH/ZTo3rP2Ta2r3Q4rx9iK2xu6bbxTVS+fpSW+7+37YCmV2cmxtgRo5S/IziZaG/It+At4eyrmExRFzCD2IfZH3NVVirq0MoNuOZO30OW5hNVyvP/4APop3/SkFNTaQ83aFmqzStIHpxv0UmvNxbiybXuIdTaQUTQAyAK22ogR3Bj+E6FoIdcnp9dJx4wbuu3Sw5fRyk9FjjAlbWcNKft+xMEuy6Kigy5rsuR0tVr4gpW7fhrGAFDyLZ/mHJqFscvo8Isu0+pmk402FrRG8U+iwC8gnebhnDbzR9si1pSuZWvVDnkzbtN8ONpQqcY17zDS5JEclXFylngpyjKIgxrtX4T2OIxIouvO8FHhtLDqXrU27UDfrxaN7DNmTwYcixxpW47nm8o7rqOysahEZ5N8ArmT9rmsb4YdycGgfE1xjgrTBbVpBzzEe+Hzmw1nrfBzsyZf+lyEY2rfXWu2YMFpywzRqGiGGjWv5z9aKm4YIv8TbMefetrwiZgeyozqtVRx/NzG0zPB7ktQ7KJ46uj0XAlhSHWFfqtx3Wt2JGmDx0D7cB/ZSeg2g3uFmIbNzcr+kn0UGxaMdei9vWkIlXpRzf+m3NDJnhFGUuFbdnhgGM8q7hcrEJ56L3pE8Q5E2/UBUC78fXwMH3xFkwQRpNLEgZgWzXVAdr/E8Jv+gSKMmCyYwmLpbGCxKXXgwPCby23B4HMZI94xxnPHUS0Z6fdG7kp9LmZcpdm0zXQKE89ZrABHvZqelb5CD3YgF2/x7c+8KW+IYknsDslJa00hcUj1zZ+KqPmQEYtUvjOQ8lF4O+/J5IC1IcsVEt7SJDDtv25NbZ1ZfXsA/HbyLxrYpH3E6isBFwtKeqMHel6u5jYNHN0zmmqrVWJRHNWVw187zwTft17UZnRPIPmoMJxt29A1iW7REajAdG4qqMRpwgtkQDR2YTsGfVc8lT62/ppYzcmx4hmXYflye8g4rDT2h5rtAYzzQ1YkOfrplWJDjh8spIwwvYuyledsUGrQuhEJtYKvcP2qrocQ8eKf25rLIH8e5gcSudx2GqztMpxA00Xf66b3wlwJDFbVZGEVSI8+mtmM2uimlyl2NBf3yIKfS7t1iEeLwYhb+8w9x8ATXKR7WQ3smpQC/ZN/WoyzYlhNcvzMd4S8jQcV6fFdXR7uSRZ1xfJRKNfKAKVdgjJUua3x1LS6jqz42H7K2vO2nsBse/ufh8Zq7V9RlmF2YZc6qOpVA1lTJeF9LyBfezlaAxY93vRGcQJw+DbMXVTwzCpGD+X1Oh717WwNaK9mGWfTpyJVxWyBq1UNVhI0Gjf29/9R25RuC8l8h3BkzL45TpLvw0RgytZ2ttY5gPPUUc3DM2EFO1cDPTcZ7XKn1/g7lGV7rM2smWKpNriqhj+0MS+5M4xizwoJwo35fLIpbQ76fk18p4iO7mPKm5dL2bTMY9rg5eNdj1EuwNBc5jc4mCJcJn3AZc6jZsBYHyMp/U6QnPBDJQsTy/rqpP4lDzdB1KkG4dj6YlJvTaPii+NPfM1v5F/5u3yNFGimbHOxbbJYrWvXk48ikilwqM+X8yHcPrOdNEXtsSq9PUjdUJrrs0nwG0MuBTIgaxcVchhpYVdvsZDytqIwY4uAMbtGzcxb0rjsYTxKcVJ+4Go6kV9W5vPbvqkHDeaqVWAn1ZT1nMZZfNj3iYe3OVt45GBse+Yjb6iG/Rmjjvi/anuyWCotS9O/OezOdvsdsRgbzNglmnBczh/uVVQWYw8vOtd26E3iUpvg6HTQf0yJzeZh0iHCdOzkW5+oYRADXR+ghqGI2rmooCZ1QEz4LXCTGZBVQoGL6gOpTdrawJ5ExNXAv2qXpML34ZWihZ9LWb8rAl2y47lyh96hO5/341jIisxkXlTP0w9oWq3qJ74ccd12qCjdEHZ7m7iKurtHGWSZ8vNwuFqMumTlmyawx4XT6Q4StEDEwi28ouRJ1I/O6/etSAq7vdzcOFhRNzKcbILjXSy4NZvvYDoQL2TSFL79Y9fcCXy0hMdyT2+G9MaVLkzSw2akRkg2vk63G+3YtYRzZTPej2ajYZrrz4Jlk1TBHS9HvZEwwv4Gz9616cB6L56VG8tcRLL4y9gsFZrO+PK2jq1XdbhV8mYsYKiFByuIPb2VSfWR1H/RIA5/0P8GN5zS2WaKzQvMf1goUYncd/1C9pZCSw6vACqi0/BLupZXNeFY4Xj27EXUjq72XLHh166V2DFWgT+pMqin9xZKeoEt+dxDK44RvyC2OPkI6ZDzanLovCG5nzF5i+WOQeMJMudqBvr8aLA7yVvf+QnDOVaoQBkezxDG0tc/HqB41yH8ShKTX7hFoVJKWCah0xEp2paznLV5yNQIFOvnRn8+ABrycyGkBavnlk3idUUUDoQzOvlPBsA83Dmvm0Ibhu87FzwmZLFsMnVooPkg4+IFTIZ0TJ6diuapQWrINXXITvnqYeg61N4lVwLBI8Kd0BJW0GfhbZKjU2IP5M71DiVtB1Dv80+QwRNvOdF1lVOc+PN2+mknsH2efp4XhRwcF7AT26rmZB/lyBCd+AM8+WnH0gJ5eulze0c0GHKVz5GpVMCLVci5mRBrdjcvT9+xFCy5S1bFYvx+0oP/yUgLTKw/w/4HCiGWS3xthv1E2PeGxfJ5fwUbNzzoxHt2MzBCoro0+lifbupaYaSFglJtripkl9XwOZW4SkoENFrgDpBtcQk0xCCW1B+Myi0xnxIlYt61MSXi31wc6wT0/o7EaUb8D54j2wn3fXM5kvOzfEiv/wi9jovZMdEJRnvfw6cv0QSLRAVlFZqKdDMa3d5Q1ymrToxeHGwwL9bKilauzL84tE0E/Y7cNs+DCtL6XFr+SuMF1hpU9jVXbt+FLecMXGJedJiIOh+RkxR7fUCA6lt2AoQWbDX/fjmitsf19lDNBZ/2oSUSHp6lxmHYZ/Qiuz+6eXGJULj8/pz+vdjnUbJn2QxXbU6me5tt61VxiuzBFFK2x6wgf/3Ym968Np3vVuekxkz4MXGhqtdPGrbC4W5aIlGepZmUWUhqmvZZOWQbnxXzBr59bgma8dC8e/ev8UrViPky+AAMSZyrmtnC4j3zLGyfDcQQBXFxaPj7ANxJUxLJRjUZ4cxaqBwvPNYyNLhOTmk+eujwMPQwt13VTDudmUhE3DyrhWB3klSMTddzB6/AWNY6mUdVqOlpkWNt9sn1vWuQB9TVeYPNfZf1n/LUFV+2uIhQiElxbb23IWA9Z7MmGB9AW1kLbQuW8mrD4LpXZKa5Eesnu/QYGa8YEoGl3444RXzc0yt0VWpWvrn+zf/1okTVIMRzYnyFRnVZf+5lr2EpooStkvafC1D4h3+gRqJlMO6ktqKLco+DoT35RQnJoIRIuhFijz52qTXMfWn9L/dA6xPiKOfOxorttQgoB3qAe3oNHRI24CpWYLlyBbXX4h1dPUfnccVas05lU7We8jxFpjOQxiav74oy2jajlb1z15mCaGPkrSGi0Y9LdoPAtZENLo0I1AprnJal9elfUnNmjiBQnhjOD9LwEkxwCdm7lHBT5SvsTWN7xaIaJcz3ajWoKm6CoC6dzPu50OHBqRvRLdNNg919nrXIJbYngQwvLNc1CkeOkHuTYHxF/RC9+o4gyYYTh6XZeG2j80+LceM6z/oe5lrrdAuUkrWbjC561oqdM6fW9rP2AtP9F06LdBWsw37NyEQ0TJXnIeYDxl8srm939XS6tJl3tzHWLQFGoV0QoseRkx43Afc1ANGvru51h+hZT54CrrhH8wgGuy0IXO9ODDwbSme+vKugDES2fMdk6uRfnmjfV7e/KtVJFezyp+TvBa2u1e5HjSjr7jDobFZTZD10YymhjTVVx+553NqVYYYsd4ZaP0soV10rupSOC4QKOq0mSjENBoRPVcTvBkkV12/lD5y8ujGGFG+8YmwoE6LlkPepEwkTso1E1tAzhR8KSBoM05ObqxUSJaQLmuJxjjEwIML4TUbMgysimfBNXttJV3YVTPKax4EDcvg6cCDBIgMlqQ/S1oVpNb3svNMUbCGuMbcBt9jSJAxsukqVS3B9kP4gJf+wJE7ZzdSwhUeisxAnmBfFIRYmdTfET6G/kuQNPxT4CmZsKM/QcJNgt3h3r54E8r3FznGS677/RNmuVrLoJDuUtIzs7r5TPfOd8Oc3xXn7JVH7vPyWNx+IatezeaqQWEwv8QQ2F7NfHmMIJSOdilQ2go4kOMiPKXNrfOCGTWpgcmlcSQjt4VrDSCPJ3CsY9E2hE3s6GOU/ZaS+g/L5aEufUuLOVTK/G4GxkKeCXdSEhOBdc4Xrv81ZkkC771S94FxTCDz/3L8bkvE4WGMQ2HBYTEkYMcDD3v5Lobddb4houlh/MZvfwL5pjf7s5ue/XZBEltq9PjGMb4H0YyBE3/Z4coM9zCv8TrE00h9FfSK/xBOT2FG09TUoQuB49jWbNSnQTESezt5nZSv7oU2gRhYrqNTn+8qUIHb/bbSiQMJcj7HBFiQZW91TzBdXSALuEUjXI2kc6zL3WkmFiDAY9cX9hIUoqGzUElhRNRW4y7tM3DPKgnkgOgMiuPLstpvMZ+NSFgHB/NGZmCcCJmemCqTiGycYdJaY0/FP58CdVUyEn5sEgmGACSiMnH+3VSQWCu0np65+V5wyqYkPK00ISiu0GlvpQUlpwumpE9Sk9B7JHnHnw6tB6Hhc9TkzsI2PIjG5ifV06Ut9Gd7cqhJwc9RBFwzI+y9KLyVyBhXBDhYdlbEXseB0iwrs2hO7upcScHOIkomO510vtTNvv86R3nenfic9fD75V4WNxW+CF+tTNnylIC98wa1yI+1ESn1KVZ5cI8BGXPcr7k/vg+nsdlqhye5itUymjFHy1kPI9+G/wyEWgbBWUYy27LuubAIRD+Obw+a4OL/kkW3DZqcJ64JshkFpPM3jS/+XpPDfEIsuKbiCmXrPY1LFHVe/Dc7xoVL+xDHVuz0enrPhvd4TOZNmdF24gpMOP3MqWby8/EyRQocqTl365AkkE8wSEewHdZWfv31jTp0765w/+SEdGMbLcrxvg6I55v7V/D38d5xD6yikjgLiZSEHJvWAu6vFXhl1tarY61PUgCsqqR4JwqmwcQtYCC5Vc7E3go4emBphqbGZMDuuQyyojQ+Alg7qfWko3HJ66Ssd+Ge6Nw87e3Hf8eZ8YJKLbyOCN5xA+RIyzzxLuDhRAEzuz22SL5KdlzJ9M39qk6mJIPOppnN6ysK/xlGOao3ohyV+kCqBwE8mmCPtWOJfhAT8YhkxEPw/EuBsG3U/EH0XSEiRHSLq0puhQF+xN/QqT/hp4Hfzq6quyjPXKXfaR6tdA78kUTazr1B+fpfp6s9yEReM+J4u8WxI0s3czbFAMz101TFkeRl9q8t9vQDZm9DknMeikuN9lY5HEWUzcIdK4zV62JAyRB9oXPG0F/ZIltP4Q6mXvur6LTP7M8EL2Rr+HuUatlC1TJ7rCU/mzR6O/HpAnVan8yzz7okf2cY2kaQItf9Isem9Q2t4l/NtyY9YV8uDix73yyltJkyz8GHBon2OXyaIsuiAtXmQOhzYsA+vCc373HDuJ+62YQoP34Ix/I7LB0+pUpPyb9ApNIwIkkdiqRJ23PqtqARn4qAbEgSo/ReKkeRTSo8K84d4AO8/HNSbWB/wmHvDD1o039YgnNNmWfjW7Ec6itwZG6rrDJwkZO3c/IS+Vrik0BjKiAXzbVe5Sn6HTFaIMpVx/1czgGL0RflpLYh2B0ZzcyvdoOWLqEXgKItuMwb3P9302Q8BpgBTxrO3J7PuQNWdlTb9saoyd/A315geJ2NleKS3lewWoIxyjirkjEy4UI4ezVL6ZkA9Jz0FpVC+Is5x2dDu73itAU6BJWFo6tKTF3GuBmNCuGpTanTL9klgQbGVSpsgJ92p4Dqa2HDbQEClubkn7ZqqzfNNXSv0XCSkjAonO2enIC4USq6MnRahC+21Z883IsfrrjENli/SWyAmy/cLCD3FAu/lPSpPROK/ugzmJuksS5YTspIN1YzvHsMXyzzaboL9S3Hol6vMowbGnc8/TUr8/B/oliadr6nyNLY3Kfa4gzOSWUVn2NZPO2EoTre64huetYwOp5omJDDf8or38ShxR98UftZI4X6egoysLLQoIRPokq06R8yHza47RZx8Xe3uSGla2ia55mDeU4oE4+amLvbp5UwHqFywcxrZLNjs83SnciU7Iq3fMZ8JVLanoQmlcHws8cGtH/S/rbqXQvsKTYtLb3Osh+kSNfBXf+3Y6TNLHgNp00EDL80nBK0zSurYYSbbnNrbl0gGMqaA7qMb7TejjpTpLxcGhZJCp1mM+X4938zyCRqbw8lQu/8smG3lNGdG2PX1fuz0+6kEyWyBGjr9hSM2dcy0Y3yd8mRK2peAZiiktLM8HZE8h5hg2ols6CYNtz0ueG08I9X1lVkdfBd6yKPq5k4/75Igz/5c4j6ioaRU+8esriWB4et6hDOdUZ66F6p47Pjohrp5F3jNSIubU5B8IfhVYJyVuKn6FDZNfAqM8N798Jg5GT6aDtijNGL2+HrpN19P5SWzBS74wvjnHaH/Q/ouV0ypXYQidDfE1qZ9ZQg3fqjWzlkQa8vbp+8Xh263JLGZvXch3xMx/vmsKYsTL0uYAVye4D71ROZaY8n1xuehNIrKZpt2nO7sNoOsk18RXtL7+k/sXAZUcBxKrytLfqR4O7OtDjZc5eoD2Yp8FN8evcnkmo+3xpCSkr6HRHAjU6q76ooZisRkfUxf6il94D56ZVj5N+01LqUnKRrwnoRaQ3AsO/1lyzQJlmn5zoen1y0BQvrfs68NNnNhoEo30XCZpWYq7uHOWMIYOlX29Kv75YQVyoIqOI6UACCpojWZqpAGrHuxeoLGpFMNyZ+M5YMxKlwxrVZXgpgdCdj3bQ5hI9uB+M66PYGoZd7fCIvIYyPW2XbEn6nbI45NurIxSG1XzBCmMvq8J21nmTR8HNJVkuBrzXUTC4Q6/HFz6l0S8U4qTgy/T63keNWS/bjo7dg1qQA2rDE2stvFp12viJ6kyhTVhienT5RLaUIYCyc40VNHvby5qcuXfmm36m7t+7kU7oTW4RAwKySb+oVkxm9KaGmTk0Yi3OiaSsmZSgu5+ZWpXG64UGJOfEr+zpVG7KMt3HMIZKT24X5s6Pqg7p0dLqZJ+kzBXb2iTJBYp0e73hYQdK+mLmcBl7jYxfDDrSEQOmxKcsc++QXPW8IXTLPQhDX07LeWDNlXujrKbRUM6V/Ypjw3Tlo3piSVsMGEO9zi/RyGRx549+fxBde7rdyvCG6ZT8T1IP4hOXExq8Om46dIEhW3kNDfNM9v9NzyFsLqYQu4/pLNfeJAfqb97Vnwk/ww+aZvJVMBt2N6Rp92IqCOwNBFvbolpS8vpSaZZS37qSBUs7N332pyh+xTJO1J+z13L/XWYjkFC7BfSsOZNi6CRVVdG//Z3uVfZOdNr89rBmdHnrnFLFzPCKT9VQQK51jNl4uxUwbVTC3Q7Q0QLCYMXh6ckZl0qElUw3Lw15b6TbMm2rlQ99RMJgz8UxwXcrzy6hcPYBW+7InFhjwk7mWTtFaeCzfkcu92bbNaHMVLrdEU1b3OTK8Q/Dg/mv9NTz5IQHghwuuuTlSR9YbxMVhdbosgOtX3CrNQjeNo9juUrEESqsJY+FcNzJv1WjkZbtapObvdCrUh4SuuBThLe9KHmiycstv9hCMKiqfOv3BI2yr1gHH0nkzpy7ZVkacCyHXp8UWtuaZpPzkYuo49B5sa68A0uBz5XL4q7RZXx490y54+fxcTa6c3bNsUl6Ab9azaxGb3T0PmKxqRdklWhH+dK+mqH88jD9xp4++P0UerbEgMbH2mzSL2m6NCosaq7Rm553r95Mfs+CyUhX4Gj8Do39aAiMQHRvh65e2grb2wp+/yBtwBG6N4XHnnCjZOjSEYb/W0FGlxgAVNJz13LBoiG+hLNO9aEzKP7rS0iApNkRuVUV4eP90OkKnu+VwHtYBEvTQylkAsL3dYcNmNsPCeVYCMFNJv0kba2ymRX1zYb2N/mJ7qqMI09+mZLfWwbYSp1wmisQUkoMuiV+fDe7r65rjyXIMo4OTV0eAxzeIIf9pdEVdi0xk8r6bfMt2WS580HWt/P4218qlNTvMLr7RGudtxDk2/CGxthL1CXqD9Z1SUf1T7vEL51Hp4oaC7EWbXg5HveAqolL8QXCBEllltImx8u0h1N168nxC2ft9edkBpZ7CDPveYv6lF85krWRv4+ROA7RuVZPd0w9MqpKZSx0Txm5c7ahJ0sZD1Cb+k7nXEazPNCwQWiAYb6XnJr3tI34l0cbI/X/fsC0ZQg3tqcuNWik1GM5FJ6JlnMlzQfgyvvyX0Sm58eSnDKc+OZGS8f2ev8izyLj2bi8I0ZcR6/7oLIagcLZcu3E0ps07uQOwJz3j15vN9laEfJ7eIcgE3Zao07ncengHXxKB8NpLBbyVwImbvTrfHhUz6Us3PmH9h2kHamLpKWMxBmWIoZ1xm7iOATA/yMjkScLHkPDcOx1M7Fzvn1dWNYIc2WdU3P7BGVgj5ypS1WJd0qwK2bCCxEk6W+RbJB3b+zAmO+8nTr4LLzcu2LaWR6bT1zsKDv5RA42icS0xrlNl7opcY8h4tewtpOTtR2Wh75Q2uO5ZCw8T3/Kx8LWL1ZfyNCHkbSYxSbXRlc6D0OrgIxpm3g+7f2dmVw85U28QSWZID99YqlA544BWjtZeyfkew0kqY44a7G933VRvpexXVkvhvHXMEjs2MF2YSTqBnOh+0al6iXR5lZFPhXHWhP68rZvL0qVvyj7DEA/IonRxHjlM76+AsvYeFtq9WYVbwPm9aVsGB+CQrc5e9nsynxMm3zYmY1Wd8eR8nw8T4044BDS+CbelPItMnXPJpxOtVy5EvSnrk+bxHw8zTgc6C9PqDidzqTYyeGyXVhFNyUYh/fRJiILIRN/u62Ub32GVP3vL+3A1rm4tqmuJJGwkAazUFZ/ywMIakOLrXQ6aKh1mFSlfTVsYlA/0cy1vvE1xukjLH+FmRig2SrcQzvhSmp4Bb9JU46JxrxCzzfj/pn6dXN1qFS6lp7rYwe7Q08I1MS2HR1szpgsVP0crUpm7MRclJjKZDuwDgWB8R87hxGeIUWfTXL4EkWhvzy5h0+Qa7tJutPWP6B8r4b9vad1MsyKDit0k2BgVUpqdopC/YQMZyYctkwauNdckFvziDPSxWgII5lTGlPXVLtZtH54LonDO7l2eIctLL8SQpOWNgT5/2Ws/IVJqnMGN7hjW0p+5wmBrJ6aEyJzXLr2nab8IKMm3EnjcHyODIgGvYjtkC6p7llHrNtF/6LHEscAbyVrx5pFYW9RNGcU3mCGuk6P8w7ih8339R6KHmXqOGxpvvIv1sMtwpbwiWo0aWcSEcNvp8hSL5g2Hjpx+f4Co2kvZsz5H6xwX+M7y4bkJr2K7QOdqxr5LXze4UhlDaLkPs4blLROcVQ+BXf7l1xeD/JoXAuxwJyFLzrF44OULNGnpcrlcMQ9iJ090MJTQ2ZJqlZ08tYEG+7QMdI50XsZ32Rt1r1Bg/z6m/OlGUXEHna6MvagGKFhbfg6fii4QmuScCDqIx3aNuw+kxdST39moZaZO9ovlCxkE6yuz7JWsamWJ/4R+/3YXqxGEmflezmpvcstGNg3UR+5uqXO3r7RxEgtD7u5AYQ+WVH/aKu0FNEbjyJgOrUITyt5Ft0kUfC8rESAmm1zu0xalv+CDqfzEZIT3kq2lP/xbhjVtAeHcrW3u/pHxXwQZW7A0HjEWRurQa3reXNqWRStjkV9LwO7MJDHwMiG5hu9pO1HXjln/a4SUrqDthzHwsJqbpY2Q9rDHzz/9m9uhrtKMJwMN2SckjHbeE9OwaAUeigtFg7RkNbFbQX6ERLe5j9usm9rL4zdVQnUMIFXaEdKwKY05aaumF+13BXhcw3Ap1jqAzjaKLzReoMw71ODsBdLhxML48DjaprSHIR/ot/fTjIy5CXveyQpGuU49ty/SXq9CxJq3os4U+VzbraFIf32I/N3b0mNRNwvFD1VxJtGF+B4oOx1ohL74w32LAsOIYc44N0cz4Fb9iATFCEneuZP5eN2LYWKRUGKslufWXuO60jThpQGmqithfef1fxE9a5ODNX8IcmCO8hRmXECQW4I1qIyC5l3pU7xu5KPFl+lT9GNf0mI2u5W2yeGmZBq7x2m7irXhTH6v8AOLf6uA0KZW5kc3RyZWFtCmVuZG9iagoyNjkgMCBvYmoKPDwKL0xlbmd0aCAxNjQ4NQovTGVuZ3RoMSAxOTY3Ci9MZW5ndGgyIDE1Mjc4Ci9MZW5ndGgzIDAKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp42o33A3Cl2/aHC8fu2FzpGB3btp10nKygY7tjo9Oxbdu20bHdse2bjXP2Pv/vq7q3VlXW+wzM+RvzHWOmFhmxgvIXQWMbQ6CYjbXjF0Y6Bi6AsKyKJCMDgIGBmY6BgQmOjEzF3NES+B87HJka0N7B3Maa618RwvZAA8cPm4iB40egrI01QMrJEsDIDGBk42Jk52JgADAxMHD+J9DGngsgYuBsbgyQpQNI2VgDHeDIhG1s3ezNTc0cP/b5zyOA0ogKwMjJyU77ZzpA0Apob25kYA2QNXA0A1p97GhkYAlQtjEyBzq6/c8SlDxmjo62XPT0Li4udAZWDnQ29qZ8VLQAF3NHM4AS0AFo7ww0BvxRMkDOwAr4d2l0cGQAFTNzh78cyjYmji4G9kDAh8HS3Aho7fCR4mRtDLQHfOwOUJaUAcjbAq3/Cpb5K4AW8PfhABjpGP+73N/Zfyxkbv1nsoGRkY2VrYG1m7m1KcDE3BIIkBeToXN0daQFGFgb/xFoYOlg85Fv4Gxgbmlg+BHwp3QDgJigIsDgo8K/63Mwsje3dXSgczC3/KNG+j+W+ThmUWtjYRsrK6C1owPcH/pEzO2BRh/n7kb/98u1sLZxsfb4D5mYWxub/FGGsZMtvaq1uZ0TUFLk75gPE9w/NlOgI4CVgYGBg4kDALQDAF2NzOj/2EDFzRb4p5PxD/NHDV4etja2AJOPMoBe5ibAjy84DwcDZyDA0d4J6OXxb8f/EhwjI8DY3MgRYAg0NbeG+2f1DzPQ5C/+eP/25q6Arwwf7ccIYPjj898nnY8OM7axtnT7J/zPV0wvJi6mqKpJ83fJ/3UKCdm4Ajy+MLMCvjCxMgAYGZlYAOwfD17/u46CgfnfOv6VK2ltYgPg/Evuxzn9R7Lz3z1A+feAUAH+dy05m4/OBQIo/2l0bQZWBqOPP4z/n9v9z5T/f13+xyr/r43+fxWJOVla/umn/Cvg/8dvYGVu6fZ3xEfnOjl+TIGszccsWP/fUHXgX6MrCzQ2d7L6v15JR4OPaRC0Nv3o6C+MLHQMLH/ZzR3EzF2BxgrmjkZmf3XNX3bVP+bN0twaqGDjYP7HDfORxcDwf3wfQ2Zk8XGLOHy05p8u4McM/e++otZGNsZ/DBsTKxvAwN7ewA3u411/ECvAg/FjKo2Brn82M4CeztrG8SMF8FGjF8DExh7ujxfLxgqgF/zD9BexAeiF/iF2AL3wP8QBoBf5L7EzfPTdP8QJoJf/L3F8+BT+ISYAvdI/xAygV/6HWAD0Kv/QhxbVf+hjd/X/EucHGfxDH1oM/6GP3Y3+S3+cIr3xv5ARQA/8F37IMfkHPwSYmJj/w394/4UMH3JN/4Uf4Wb/RZYPvWZutmYfV+U/ER+2f+d/HOi3f+GHbst/4Ydwq3/wY3jp/7XUx3VBb/Mv/JBm+8/eH7G2H3e4tSXQxPEfK+Pf1r+G75/cD932/8IPkQ7/wg+R/w7+OGqnf+GHZud/4Ydml3+d18eObv/CD5Huf+L/dKmRk/2HKMc/r5OPFv4P//n/AQh0BRrBLc3bGHEHfKsJaHuoEsRz+bI3wcTyaeAq7AZGfVcUx3lf0U+Y5/GaOTd8UbBr9nf44ybqMVPRe6OFBiaDhe6GZ3I4F+ZSXRukieEOrecUKu/TsYOME9Nv6c5OLX1ma2NTzPMmpSGXG4EZKixau8u9ubRDcR7ypor7crNzaIqGEzoEsInIcGhsDg5mBLCAdsG09gqhasGZ2Q5JUocrgYnTWAKxw8fk/lEm1u2B5RJaUPOtZLyjo0+20jdpR3xJBz1suNL6U4AZst0eUeznaEq/m7YAX0pDhzFlfhLudMndqSuJq91ISSXTJonBTfD+RHDhzejPF5uwgpmuhhTbutzUnSJFLWFL8Sr57sysFCU9paXiaLxisPB9i7Bi0ycBNXSZKNKeMtXD0zG6Kg7x6TPJ+bSjqWgNCsrXHguM00awo+H+9lHmtELtBDveSv4gGZHQ3xYs9db8Jh2rVfPaepEk4MmIkcIunwmPSfzU8vA92SbPxsQ5zbMxEsee6dso6JuHUGPoj0Gqz3AGe42fsmzmGa8H+tRHw/XEQ/rm4XpCM6oNEJxlPtsagCs/JXwpKsTOMd1vCPZyvGrdEvDAIY8vntKcuU3XD5WE8/dcyXFAmTY3mXlt3sEfDdZ5D6jlAQvBdn+pPjF/T02wTL9QT3wPJFCtHjP5GQZf6jWZbRepa0QbKFAW7xFSO8rW8/18gz9MSrmzpqSv1vmWNK72xrz2M+lljXwEXE4KUabakuJP/mOQtQMYJpCr0jJmthKnPNCi0Ql9L9Qap++5NW0g24TlO7kJnLede73VJOOyvEXQJnSGqFczQ6U7uN6tn8QJZxAaj4tPdn2zZz9LE+XioS4/ZZYkAwwkk7Xlaqk7Di4Us1ZOqcHRufvEWXChkNFRcRi0KEknDuc0nHGp1SMcIo8VIN6WrCtgzTTeVLlx8+n6DYjYNQZ/sYJ5fIeWTXbflxiA71TZQoq//VYQz++D1fdMsJUCpQs3J2NWXlHwLOmI6YVMAJyG3kEn79inFVRoeEBSur04kXPjAfhwym7tTO0fCJsghym6fjbiiYhd3vguZ1YeRsZwrr8cLFK+t0kTHGV3drlsjcD9k/7yTqM+qyhNFqQFBMFFy7jKnPm8Ry08+fdnGlJK1jlET7o4pfuzKP1F8a+lGK6Ti/iynA7kDYPs2HZkMNS8Cw03ZLGvmUgw7jG5UsxigmTHAtEWWVG/iDavfxnT+4CV6mSYXvf5+jGN3g0W8Gg/h5JtxFpPqlP6o7M6SWJukP9aN86VhM0zUa9qcyzVSXzUgew4YmYiugUzvDoszoBUQwSrn1b+7iN/W1xR/+mAPE7/9dBsU8NBXPBz7Q7ZPtLPgfHEz9NmZ6087/VRauzsqBVmJFnxJHjJ0CqTk2HZjggQMsKghKbpsy1KSq/MOSteskZe+j1XCT/zXn2TxYsrtenNpq3tdeZdazlJQNPNsb55/ZzqJ33M3O2D/zTYeWdcPKW2pVPRUJyrWcR3QV0YEcMykQo2aqbPZYqnaJqSt28A7Si3mTDE+bmZJB9UhPqSdLCkLQ11281NOxtQxCkPkieK7OH2OTpdUdDlhv5yusA8C5d2PrElJRekgY2NlSuKX9kH2Z6EqfEWBDQQFiWK5lrntKN/xBmzLKgmYuN4sa/7TY1XB0EVEYvj+9jE7lYkOmDl6oEl+DOkD+s+N8E1Zmcz97fFHSn/N5qHxWabdOLw/ZJCKrcYOl0eNJjpo8z3WV1TOUs1rsujAAn41SfKPPQnoulvpHTRjz/RhFewhvl+PRjb76J0aWa79zDHjYvg6n4monxeK3GLKeYvqVx5cigFCXIQCcB2rGAhZMWHlsZ/eJh9sTPKzylUy09qPPZaH+xTWBmVpHhTEjVbbRkEfybEb/UBtSa2Pcv1Mm/tjLC0k6DIi+ELA2N6ukVM6ISpWRaUn7SMDWAqBVTmkcQ+QSF8bcUbTXHoIrLJQYAFaXkWcbx6PjTYlSbwmfBO5PJaQm7npJdd0jE5bYXSWLI0ucr98iQ24bkI6NUEwAsyXmEHKQ7EI1XRM71xAJQxDlP2WouP6HUTZ4zVhBBgvhoMo+RJudc2ScQx/HBK38XwqZ5SblyxiaDX1IemMKViRR8pOeTSrvIzQ8rUjLMXbyeOb3YDcFbP2feagRqlH9QZ1Ju6l1Rs2OBMJpEKhOhwwOeUZSrtN4jeKNzUXaqb1fWBLI63u+uIIWNILmZ3uq/UHvyWmfD8LCxa5eIl9Dutvz3/sIKhgpnc9to5kEWRy2lQOsml/YbGWnj2u3Pn3byjDUhGrR9XokEt7Sc3PyJtaBxNbI6zdhmAw15N98XkZCXmdyzj0S40/7afPbYFvNYj/FAilJcIP3d5+bq8D6etQn1Al9yz5VhfQmBRcfMQEH9d046SMtF/PgVBQr828S7MZMsmIqNSIhsxXONY+lac5c8GHUNkdY6RWm8HMyqq+EWY6NO4Q4J04+y7iG/5Vb12mR+vEjPWMMaTMR+x5spE1DFnq2yIYg3URDy92pxx7VYFKMxaD82b0P4qGEblozoOub/k5bnfKr7krW264G0hmhl1czGgl1Ydsqr3AAXv6k4PKa8KRdWiSJ1pXpx8L9LRooDGTI2HtFhPxbRQ5nixwekV4sbInZP/XLduxu2lmpK7LJupevX06Gbsy+LDd/ZyrH4d5Fvf8SP78kJyxfgFhq8dqdOCsjoZJnMav/kbXHUIw82bH5J/X1ir8j2d++asko00vVJOd6nw/8TxTx6nQ/9kwCgDQVfn0jBmbhAUuC5RXvp2eE8iHPlF35QXFwu6wmSNCk4ltkZUPMj7ORgLmCrpJIrub8MvhmcKP8Oa3O3AWfLzRx0isc/NlLimfa8f6Xz2b8B55rXMblf/A3o7R6wZ1/E3AnPYNJE9I/xgDgt8uoczy9PKHiRPS08UlJ8IxbX0pQ+rKdwUyZRMCjo8sFvW9zPVsw9wltp9wi+LPptcufFbEWkUnl9mHPzcAjHmWUGBO6MihXFEQJRn0dDJ8Rrm5UTE/IIc/PiHPoYc1nhropZiH+dyvh/UxMaAT1CgL7YNNExgY983zyc77YepuKW4m1OmQzalmOqPfrnp0DE+wuyAUABzIigY9vdBtIuOUGXbHbnwf/iadm0MDByI0Vj5HdnHMc9j1hRTozs6akjjOSmByxBlQc4jH/uNFuX3C82ygO5BRI0pWCGn95mFAi133zq/lhtyjjStP8opFdsHtMKQMUjjbp4P0u20RZ0YcvSp5CQLe4TRKmA4nXLCQ5B9husYSGVEHe9bbEG50fWTVkWRXHFvLspc2jV53Kpx2McE6aQoThYzdxEnZxoxzMcR4dH4gXQ7JTFx3wnuPDvjdwXPp5HIEnSFjdc/S7712VHHuUOV+WrYLru5JxposakVY0jI9Oh90Wwl8S2U0cvutbVUT4EJ03PNgOMkf/h7yOiYRY3C1h2LzWOB3vF+MPIJ/jYv7x4KRiTsdXK+c+rsz+DrSOTr0uGNlXGOB1XWr816M4hH8N3TVIc3QCheq5GtpxE/rvfXJsbZSGTDRrBPIgWcr1heo2L6weDzneUM90b7jbvWOUqr/l2SdyG2dW7myvxj7qx2wNhaZWO7q3fgjXnY+yfFdCk1tqitvGQ+G8cXVnKmy8vjHMy2Ri31SdK3TllFLoXJtrEu7bOuCZeCu1b6a2eBb028E++bejLxAkH59yUuvXK/mqACvMRWjTW4YZp/joSduYQP/j6fIGsxkC0y6s3yPqbPOcO/NDQk9JamwUhNZbJbLzUxQVH0iwpA7taHhPgMZ32ALoO0YEMfFkThErkPD1OmS62OlhNnUFOUnxYSatNw+Ry2RYAYH4dkecaEQ1VHDkR7wvCnWawLvO8wfctNDYF/fQ846iCuMa375ENh0stvV+vSGuq4kCadozX37Hh/Sw45DZZFy0MC8kq1rZlE65702O8ePtUZCQn9u6CSjJE4Pg9kMKuhqjZI/bOt0+QLIM7qxkDJnrFoY8f+5aUKTUA4mBJeN73xk2PD1ruSLkNBUPi4tCPqucdcJ5KpUO3z57mNwvtzEZMH4s0NXs/wmGLFBTjwHa6Xy1jKTtivYb3fi8RRIh2cCb95J4/EWpQqwJvi79BfYNfyQs0jXd9F6+moghBmNXTHux8RxSKonNOSqhVPc6J8Gz9b0dqov/nxjkzw7o3Gut2x0VjoGDA3qmg3VnG6lPxL3MJo4m7rzCMvHdazUKnlEexVBhQZ/gBrQAfdWVjQ7IB0AImSNduNk4/jWJCDw+YIiXH0IQ+xqmQoNDRbeUR+CEHQmZ8/PDEua6N1Dmyn+aeahQOvpbPh+mQuKBjHsGfNUK92ux6Zx8Wvolo+cnJ3fElojLTbKkT1J7V25SdzVcHIc7VcmjWQmRjSIRGvGIS2W/Hbl4N0IK+JjCfSAIDmlGrTBjk8XVdU/66xpPFwVdI5BnUX74z93McERbqtlsahNVvEPYvJ4bIfsuit4YiFpvvQu6MjdI+LT9Da2/ZJhX5+qYlc4z1qdjh/LXtFJYpWQMU/kNulFP7tvngWJ/OsqsR9qG2mcBNz8sgdOHcPA75mEWPE6z54cWuw+yihP6dPipVwx9KH8oQENxm+iSqxJK6bRk/hCKP+rv46PfKyP+GEz0pt2A8Ojc35Irc9DB5ZRz5b6bXcSJJODbMKN8/+FMS7H0zv+VQvnK/BlOYzO6qO2UXsIph4gmcxNEyhIssjoDztFxBZ0W6hwGGCU9rMx196cF0eOAbYUwFh8pGmr9/a75Tu1P7Et0EQSZo4uzQctrB4Wi2jLPeJtUeMd50qdICYZIEDFOg5vDgeO2taHQ+lJ1cxrwjWhHa7yoWbXZReCJkWu6KtKvjSGQVpzCOghzVSt1ZxAbelFsAtm7U+weru+AYma3WeUG8+8NYuFbKwWK1z7GJu1X3QKzNamH23ZVQg2zidZcEXIyFZDgAvdMDXq6zWez7SvAChz0Nflbggk5iEMQmN1fHWQ0X4HLgFOs8aTcMpOvULlUmlD3qsaei3cN1FlHzz16DaObSKmYdPV79ATB95g3kuBDZrmWRYBnQ7wTvmCq3BdCM5NtGZA7suSpO27wp43Bpdj433XlQag7MpXV8d7AFy35oOjbeiHijWjKAWPIPnkDQyFtqSx4+A8t0LfgkdvPxiO5vEqYvscEpv+SC63zef3qDP2p6Biooy7MfnaEutV0IA2xWQbJ2pfKSfMfMdDxK9J8/egmSHJ00sjhEsRijd/BqifltVzjYnyb2W1DNZEwORx0o2B6GEHI+RlS+SyOaPTHU9y5cbNYEzoWzfxQxiVPaJc6AEu+2khiEql3dpre/xotpys09xSjz3dwe2MW7VeyUxNZBn2CdVv7eX3+p1QyqdUwzpX4GtipY5SQzkSJzLDEwav0MuA1TaY2yAvTYtZ1f2194t+jSHNlo2PdhQIOJezO6kvZPLP8OrU0RVntbl3N+xk3XHh/ghNUNMSflW7aGR/QSPH4QC3ZUbQc2PVhMD3W79IVXlYbX6ssT5063Ap8tkBs/e9xcuoSwVrCp9URqgzldKbAWsad28e/BZ5jHHHQpBR7j6XeVS69OxDv2lNQyYSJ7gYKLAnRxdKBteFgHJ7MH9aDV1O2P5BwvbiHytA8tBaA+0YuvW1246JhJ6r7rccohuEqoxkPRrJJ+pCOfeHZugzumKR32Ku4gnU81dQl0z4nAIPLyPENyEb9YQhA09w6c6sMvhkRtbk7mrd+LZ0Sy6Y+PydtPfpY+VGa/ak3alDDjr3dfUuxxyR+MmjUWqIGE0JJ5Q07SNV9JjvnV4UzG7rpJZv1JYAkA6MLyl5QufKq2U0LXXJFltzTHkv7PyTZkKaK6w7sbT4E73cL5uNy00xjIM19VCWHAIIL6EVg4jBN5V0SLaJQgO98SugokchzYfssgJlTjBXHXtuDkiTbnr2JY1DxXGfc6PSqDj7xmLma6cpV+1XP1quUaeto+Oixqq9P2HuosQce5NzP2ztc4AB40kq4umjoQz2mpNO7fq58Ekohv/zQg5HOzuVUjU5guWq9SgyTXqNai+W14PrfQTVbYfNjQyZONrvK9VD4AM8tZa52F/FCevUjuHKr+uIlrF7SqxSn6lDnErgzTIzodV803cvQx+NwS3l2NDf9cpE1Usmegf6iiK93kCSEGqq1/YKoArh0vNLTSSmLUD8Y4XxOomOC4DZ41WgnJjbT4yWzc7zeCvWnOa0zIr8pcFefduUmWKsVT4XQqg4EwgpDwag21mFMKw8oRVEFM4iGlnRO+1mILWX6Gmg7i6fv5gB5znWcSboln/trYjPE6EDCmFMxNiO6/V/dZ8uIzvGjHDZ8jvVyNZFiMfyGKDsH6zLS9VdHGfd1f7th9pnzg7IwIeyhU0yEFo0fzGxB+MrZIMcUb7pFiguQ8r2fx8GFArJHoIKdVBbt+mZQiLOVIlrzzAPfvdTozTaIjkoaDUyCgRp2U+ucNYZjDPkGEgYbQTJTxl3axfa+GiRskfXapwEMBHPSteAi/2Ywlnx4NbmAJoKWmkYQVAoU1bDGbLmU8m384RtUq8tsaBiKRTEt95HxcMAtaUBIAM9ucdMiWrE3jCSXMnVkMXTwMqPvGBu0bXPRM/YuREDSJ8gpcdF7xNnuWuvF8cDPNCNHzfYf7UkUPPtPIjxIGKShetaBXizvyuOGE9PI0RQ6l/8RZAOYndnzBQMYj/42fTAZEpC9F0DYslfXe/hhI4zZSnpIlhgEe22QSCaHaInw6r/1dr2lRPDh3CSuEsWqw2oTlQteHP1HJ++VqzjYPDiaZxlevU+nX8LyvR0On5CkFhwvDCAa0ZV9dUMnOiIsvIPau/znGVlSdAbHAd5Q1DYUu0U6BVeOmXnm+efRyGpvtv+7uIwu8aHEv5hQtqFUzEsArvUkZhV+kMThMohYkXN0BFDLtvYfDHUqFEi11xl76RnTZNa57295xLq7/GMF6lRq4n7GfTa1o4CnRk0XF6s149uvD0KgJA4L8YKYN7e74l+3kxIYBUOqnq/RgzKurrLcchIaOClui+5i7jOjoXtpJIxmmoZxZpLcvB67GKfUecpHyGnBXx6FuuxvHF1p0G2c3wRuFDlJg5Eusw6luWE8EQvlifBzMnOnSInb7YCWiIx64JAZus1ELlEGSLi5PWkjXDS7ASvRe31ciYzbrbydLjbsXddSLAonfUI++Eb6up0N7xS8xK50t778BOjX0zKXHBM9Th89R/f8FPGRsWc9gXv28QWZ5N99h1n8rCbOOx/TGHx3XhzYo1bWOki2sb0U60Gn63XY/xTQ7hVt9w25bgHWLgW5j/JbP67y4lLIhnvps30SxEw0ATxGFtKg/91noVEwzQ/jXvO19KS4gM6MCMyVBHfyGMM/7ao0Ghzl882fnQLxatT0/RJOiyyYWEKzwOAH6H5IltR6YIbp2meElGnWm9oe9bmEi5OF/A6irG+bUnokn3slkiB5vKnId31PA2Hn6ycSz6J18CJb84iQnIeGLgVbYlTyTx5Rmu9KQ/FyFyJAZlndcfSvoex+i8MWahgiehHHXZqjejRL7wTpy3ltm4h1nNqE6Q3Hs8floMsj/F3ekxzIGS/e3zizv5i7eTiNs4WyIOlTOmYMpplijVIT54XYoS6CbKnMhdPxhxprkH0lXeWsqCwMGEMhckZRdabmeYovL3py9R8NeO4jTaHvXwoKD2Ru+FAVL5k2V7GctxM61kRKlYlFu0n7WA1eiBPNmd+Co1P1h/dldpTfKKxdNI/sjjJDNKPZeGwF2wJ8escxl7k5caeBq5DUL59YpJQuUgwcdIu9xtmWVSKpm7vq4PmSn3M93ny8ANrUyv8qbo9wMgGqzEaowvh0aeMRpiQRBGdSMRsKjVrR7eVX6JJOOYgsMPNyBU+NsGgoUfpew3J5xIdtgVwaagxy0ka1N7bqguosys4MdvauJfADsWDvxOk+kqE2+a/GqJ5zZgGcBIvsWrmLAaJ0+GQKV66j5mSx/8ZL5Q0Bki1Sb48oBihQIWUjrz8Iqd/pGetVpmCqSU45iiaCMLP+vEl59ZOXqD8V+FJco3PDeQG7pOq/MdW93IFooFQaWR1ZUm10UhQKVHH1Fanxf4MIl3Ffwwhhv0FSPkDURiFcatDtEgud1NdZAgceobb4tZV8z90gj4gJ9jYn+CUvDZOPAiPi1x8OBRMQ0UjEz7RAM0iCX50LTBbfaw9ihMX41oPCZ+koXjO8N7ELv28h4meqe53rbC2r9JymxenSETjuNi59EnidIVZrnngA7u4zbkZzzkxL0ux3+xIhiF8O1bOSgYo4KwhHcEeEOwDGumQ+q4WvWoklTyrK4a/jjjh8reIogeLfsF767zXYm1YLJcg7alEZ8LxnFI7eY1L810cAFIS9OQyAmgmSFUJGFpO/0xzrD60nQglD4T8SgPKxoUazwnTemzsDw0gSEQZ8WncLo4ha0zMFlON4GWQyy24RiGpxJdE2dXM1iYpc7h4dmUie+yeTnd0QDZFe/yVKf+dLzaOh1pUffwjYpohEeoPl8pXHlk8Wv7dA/JyoiYq06aGkpLySXFzsoyxaPaLfK4PGnk2iUFDFHbhYDrFB9xXYsAnqfJOjCuHSWFw4ngETkUwvLO+QvcerOOXpHnG30IfuH3H92ZMIyuoMBcdvBdlcw0ceHJxnHN+d3VMltk4xwRDw9RhZgO6JCBqgFZM52js86iYUZGta+EJ1GM/e4LsdlWcJCLepVsc8+/6OPSY9sv1QRGExtMfFVsy63ZWIoABTvOzU4bvkb62QxjZFAQdpHTZs3RwvQCdV8kYq+aGb0npbTbA9fMy4UTtTof596yjDZcZ1VLzB4JmOt+FisZHECMB5EagBf3fWYeCthUI07p5DeDxqnKSdcLHVDZSqGMZPyJXKXIrqc2sTfHzI5FRp+IsAcmPUCrWaHRIm4qdZf0HbPOI8VlxrQB1hrcOWVrqg/TXH75xua++YV6Q5T/rV2vFdpiqfNQy7qJ15H8q64hFY1Td7iC5aRkH+OyWOpsGGxLNfzhuEXQVll8Ie40uzLCVaEchUVy1E0yF7+HsnEkZ6sJxhj2FkJlMx4j3SgzHA0OyONY4bh61XUP2Wra9O/vGoANjhfYyFIMye/YqJUV6tUUb3j1+g8I6exF5hhI4IKZWX2gRbbSz9n75UfG6yYqfkSJOurLJHbkrYY+lJLD0ZWPaZ3qShODlS5XbPBx2YFR7DNKDzy2hloLXoH4yz1gl8y/CnfOIRPm2tV/sXFWL9JDlNIYnzB4hluhRYQ5wYV+WT5XoJSlPdoYTmz8kaaca2FpGGLtZ0HI8qbWbDIdHdO/1F09aA++rtbjtf1MAqOdG/ULvGrEceLSC9+vdcyvvRufQBazOYGovxLFVmTOtNZ4Oogo6KhsltvJCHcHC9DCWDA8VqTXyFl+UV9tYXiIhTpMIW8XxNRurSYLveRsp1W76FFEhEgXldX5mfkzdrIMY77satxw0YGhqnpnVjdJ18oAjU14YP771s0+V9XSBTnLcLDvJegOhQwhWbV5eM4KVc6VjdNOMBxi0pmbGf4OCuTnIE1fkcGYu1YCkmcd2Lxc2lhxhcsAwCAYJz2njfsD4kF+gSjdaw7qEYsftOj+tdq8aF9pDxy0Xgt1qSUPOgw/8cliWgSpFLivMlEMZpZAzioR8voq9HP879y7aOJIApLE5q+8UatwdRc1vb6+MyTymOTfdGO8twhe4nuhdjaLgqLUqpXsYozjauXcQbGaW1f9XRg0s11aCdwIa1NhV6gw7hmMF7K0YN0yrGxlR5Pah5wt7JMMEAIh4lf67Hom3/wWseQ4pfpza0hsbgJIILWCXC/DTGuWQIrm7yn8z6gzXtShvmeZHvggqE1fpyYNm2gpIUVEWDsmzfu/ZDuYZXXucdCZ0XqxsnD786ItODTHX28UbdZm2539UAXTXrPQJz+C7ezmaJXdomU94jqRIcRN2CC747suqThx4wkXIVg3ibMkFZn8xrRpAjYPOqP8m/D6xQt2s6WEiRhCIG84B2upLY/JLHdE0kE6Z1whBnYv/n5o2vemn16UZosPiCavh6mqWq6RmSdhhH1QoJxtlBSZt+iR5vbSPNaX/H38GqEE9/ual68JRVl4okOq0iheimECMG5QjxVj9nFus8pNC9bzq6jyXVhD2PHmE85aR+y95qB+8q74sI1rHmca4WZ+SzbtT77PSrNuB2u289oo9Pl9EOnV9YKbtq1sRt7Jgkyg1ploDTjxumBHRZFrOgaXgqRtx1Xct0wW4q6hvOhjNCt44BvMkjRTj81fHRFWeHi1wbRdw1q5W159yuo500DHgm7HxI/AkTanx4BmHVsyidV6hIWNVFXR0yALpnbsZltjnZz4j5TodR6oXtA5QsiKFqtYn5kEi6fziHivwzob8LG+Ci3Sk0hbYH0DrNuVrkiUhp9VP5W9KmderEmiFGjDeVvQZ7jUNhKqEAW35vTFRWDmTLDjKAavZmB7FeeHpNW8wuEa1zV0tYIdUaE/z5qN1n+byYMO17PPX0bIyUG6cmubXzFq56t2d/a8iMLOdEWXDqI/3BRFfuhNZ12ITGO9kzW4ywCdkXFca966ZGhZSJ/Bc6POMs87FI17rPXfvgoiX8s39keGp7WaZI3eQbvjLBP43cevVx13iSGjx9knTMacy0wmekJDPwJniyWgQKpyWhwf8NtEAmTYF6SwDl+eE7NazzsJzu5xj0fS69fimQXi0lgz6IO3rFzFe9InxQoJudqrNJyvxSDppQlKMcfvJFSBbIs06u8w818iGgjxtI2Q8IUnGwjecvAh4ePhVxEK4aLGvI8R9jROBQpJgjr3ONMd7JvOV69VOzfaf31Z/VV7zCdCOMFM8ioOS6sQmWfi7gRVTxCORaQXNHXzxqKFjz6IdUyhEqwl1+4SuZhgbObsWT/2oz4MmbDRZ4bGeZFHTq7QjroXl0/UD6gc604QgPo8tDwkTlb03cy+mbRaDow6kFc0OiZpX5orsYZrvnRE5ti/TJ4P38woUDhndE+QFGTKMfBr95B1CIuJObMeCIuKBfOiFWMPjTNkZYJ+xgT87klBLvW8KF0USpvYNBgCvlYypHgBRuY1CORspsU1KzIjMsFU9vbpOdMeHYvgZ/g6Vl8ZmP3dBr2BCX3940wVosmruSKrS4kV9h8aIIOtc3NwD0LzLuJdEo8/sa8YJgrOZFR+56fc4gonQPsygKpcKsLp/f5+p1VVvz7aVDdwCT9CQGKOE9Qu3myHZanxa2ajrpCp39Cth+cnEhOiWVqsQRwe6XrWHsRFQLlDUKN9OxMzJOW6ObCF9C3zmCNeqOSEjiPj67AmCL20+GD4rddjgb8PkaXkWbFwcKDQ6rQLcTDBejBtUnnM2NFWEfseNLHXANVYb+wNnW/bUSwkm5DdRviXCTw75MJtSxybcc7NUwp8T+0W9L4y2tIiuE8zSnArsknf7luTxtmLVd7iFLgZS3xnXXOWhzL4YkjAOIdwLLiRTaer+AByakkwaK+RnfsVKtdc7ptJPdyg4pbr8iLvS6bMpUs5NNHkHRqYC1g9E3wHlNMCQ1xblwnThUhZF3bR1xmUMvVIxHqrgbWi8Exat36rrxtln+vQ08uVENV7FFZpCdCyu0WlwuL61RbqdCTReLHi8G9XwRNKFUSe1KMnDjT4xNN+J7W4M49sb9TKyoLxOlYLF/NlAusO6yQjsxLmcIYXyoV18Nndk2T9+FJ5WK8zCNo1/ThOg9CjzP0S6fWbL0XChDofzbp2dIPFSrzK+QLesYex7+NtBOYFxmkToEsaa5OxTbgZ5+A8KABX3wnSBd5AsHnXU4hiJEp1Ha/q8lVbRWvtBNsaqnO+Fq8n1eoweVrv2vDcMzvPVME72HYaTYGXQu8XLDmksmBsRD5MNFBjoLk4NySqjkSCKXqhSugPvg2bB4t92xTJA0VrwdAb+CoUnk3WWpscdC8iTrQfXHy3S+judevQTKjiG93N5vyUVA4tL04CWIIKTaKjjxQ+GkzTV8Bnwa1wM2pzPTR5Ho7pQFpJ0CXnpCLaa7Lr37HgGSHjoAVHhoyY/8oTEi/S/g76mgcQZCaTyIFmrs2pjJWxMfvVsIq7QfMERFekXo8ItPXhaz0CNMFQLA04+Ji9GFaG1JkI5cabbtWNB/BGXJ3UGWPfTTMF+VA+45yoWNzKeIZzSg253umcAEXgri/ljM6e6AydqgO9v6jKNoomKgSAR/c6YiKpEe4KnftOLI1YzB9Ap5FmIAv/ukSDkeNsLzXgpyfEkZRP+DwKvz2YPeFg0NbF5/OpK6nrGlTtmh5sSdEvQSv/J4eM9m4Y18MG9qEwivKWKooXHHXi2IuP1vNaonoHW0WrE4HNvAtjQse7gktgumXiudER1xJ3c5vORDXw9MKkuJ8EZCQQhJOxLSeX8OB+8BOkhPpqzG6aHCeWQ+GyrKjNyDPhQwT+I/LKiwFycCB5LiGKNEo5qfYLzIkttOaz7r4vWmOIRH3JcV8a1iH8BCU2V+6+1zfODc8zo91FcErsPX+yj5/nB5nkYYXc6fyY57SIYdFsVswEoGOPdh3PZK650grQ/cR8QBY/wjpqHRU4yl/uc28130w/+RbrIrZTgM6xV7nlRiKfziuCtyI8VnlJM1W6t7l6c2oWxBylMZy0jhIsmdK75rlaDMZLlaws9ZYWyJgPqFWkGnTsl0YdVtIhvH5p6HRbDyW5nnx0Jnll2inwwFcQKF6nzDiFfOWXlJVEpm+8o3y7394PP8/3Kh9kzmKHJhp5scoZLuo6+Y1bylCILxrSm+FNAq3G5Rq6gFikw+7/eiL44yz3rrPBOkM6oaN+o+zUtu/++GEvsqJ7Tr9qem6eViasPjTBG7S0BzP9l0cc/+uI10unUDzZ5vTzaLe1oLQCcoJ3pRPWCDExzWozLAkuXMm0BqttmhTulKWK+lf+qQ6auYh8TcyhsJJPuwDh5e2z6yFVplZl/vn6+yuDexmHYCaRDsthp6NvWQaaWJ7sy107KyIDDMtIwJEubxunVgFyYeacDBCr+MBc0p+Bmj8r1A5TkAwofzQg2UMKLfywRWuqPHXIUWWa05b7eXm2aTJwL9BUPHaaWDZUJXqe5PZZsqoTO3XosGwjzwZD6Bs4FFC+ojkEjEgAib7JLqaUBXTyd66cyPotSLEIDDDlq5Fgqf8GqmX8xSiL1cC09jy39wm9yA7zxPS0dyXra5PMKBgs76/ra+78ru5L6u9bPUNucPMFlKIh894Tg9vPXMqRtskUe1Zgd1OfY2SSVH/n6UKKvaOWjeeAe5ICFQ1yCjsjVEzLBssTIeYJj8F8I6ecom3pmOjKsL6mOTeYYjtoECGAP788v7erBR49SOr8voASgAZT7oz8+rOGvsodGUGJ9L46HBV/5zMruGJU5Qac24s+unqLN9F5ibbpU8hTcTY9bHOG2VM67p1i2MI3jWKpN0n0YdyX5Xbx5xGJu+KeSPR2J40ECHTi1KfSWd78i809KU6mUsrUHeYvVWqFbF481pB6ruD+7jfdNElYpIpk755OJe9ILyZe31N8D+2SU1qr1Uk/Lt5co42SUfdPa4HqoYlmkQ323h4su9AnkuXg7BFXvfNVKynCDN8cy5rIJFkcLF6ZHX//ptKf9kVTlGMrXEdpnr2AlJej9h8yr27vHkmPLNQ50qMADvy64+JjWnggoa35hBkqJRNYZ3Fa8ahPMYf61IM/sIT47FwRpunHquMbckR/5RcQvUQnEmZ/sY1XamzmbXVAa/UEkgG51HxkOAXqThZWamlQDGaKedjHkwjNWAsFiepwKvhi+xBaIHScka7Am/xc+gS+lNS1gTrk69AlufhGl6lXzVd2rFLy5lxfXVp0g5OJ2JExQ7nnB7k56VlMojYpR8hkcZCNQ+AGXJbevveGH3JWqkUNmc02rteC9IdI9zHaUpT3Sn12r7Rwuq1+BLdhPknS0qOs16luh2bx/XSktYWpzHUfHbdAG7lE7E2e9NAHkawbwohUfE2ea3YNKjF/3zRoMBVIQSm6MXlfyq4tgcg7KAcuZeOkii9pX+moHuC0aUXrGj0XDk7k3KneuuGyHwr6M4/B3ujUU19kbvcmgZOXOyDPB4QaKOdYJK3kojsGtx0/Tnuh3z8Olb8Wbj5GkAG9MKSq/p4tAwMuSq3Ujtqpwn64grzB82AneQO+7x0z1DSOfb9Z5my7gpiLi3LmPHR/k8K1iYUQ85bnF1XkzagvNe3S3ox2dXNi8Rp0FR+8AAGGy4lguyOga2euMcuh5YlGEpWljYjRvbM0+GyKmvBwqN3qR4f13RwSxDHxM/m8RXLhy44vs3CizQzy0zCUCiDcykjirDRVZDmpO34k4ivDcpRxYOKkwtUPjR4IX1JvarVOi0ZRH4m1GjrfcGVcr/aeXJbvHIn+UAFG1BJ08ROLlfDpbvJ9FUkg9K9UwXDLrKHN9Omf5eF114gdCBLn3UFIdj93Ug39Ho+czGgAU4kwR88bvAeLF3deijYQsmvVUshjaBSHxXsCSRXqe+XINsvwlnhMirbqtPXUHN3gZLmZE35yqc+DFUvgWxcM0h47P/A7Uy/rnBnsmUqvI7s/wzvqfQgwqziBTIrEhNJ3eWTefaDPNdfNacodDQCBaD7knkzxR8Qc28K6hz+7KDcB9VR5JeNDXvS/4iGPTqwXFU0pV4dGoVpA5A7fPDnj7G8uXILZKP1dySSVUf87shfD0SVan9NH5aaAJts/x10KmfXqrP1aVM1mJqe1/SUgxT4k3C5ov7+78QkPflpoThjZMgdmOlOKbRg9y13CsHL3UutTKvYz2otuvBsnH9glpqt8JROT9GnifhA8L97Bbxl3vlAzF/RfIjoBP4Iw5W467TJhscIyD7siwTKSHvdyD7OqT3YgzprfsuveHUuKiOuzQPrsiRmebxoiis5ouHdbnZV84tQCrcSE0xwH8X/HhkXccyHhcDf3PwswLgOBP3W0oHRuQFxBYq1kLvmnynt62wCTIOOsDo7gMga1Xlx0wLohNvxODdDR+hLUtr1UDvBd1ohrW5IhhBalnUIr8Szo1EU+7qOE1ROMleWunJAju8e8N5dJucjW3u40jJk8J5QvvLDd2s3h7UXEsAZIJs9gV/wjWdulhKlNWcNrwI49Rv4CTPT3x+7KpJIEH8sSWm825nEf4bPAzQzWpuil9BTby+E+jHMaeObraH6/Z+izpRA5AQ430CkSF7Y4mNYFopnBo5+8l0NiEhm9mPtN0pW87gxK4xA1mNVU7V11YSpcXsXxpqmUg/LRkY9eGRo0Tfs1nNpIlfVW2xmJ0fKs7OA72YuKqaWXowppAYJ4zwUKSaWtymo8jWYGhJzPUu/7l7cHoTvTbs9j7iJkp8tfaXBLdwvb3PVKQrCamGaVHkcM9QsL7VctU8tpB9pYkgp+jHex4LryXMHN+RN+udACe0XrxtG50Udu7hLzrXFQLZRYBQxelpbkky2FMWO/4H3rNd3vWEeHPw/RiTwSqk48XA+bFv3SepO/fnju+L1bIWXqpAN/27H+vdJbCNCGngIeN032Y39Ydgq+EbQSaLvldnke1gzv8vpjyfyT9IbOk8QPvd7EnB6Sm/4Y+ySW9rjE3GaY48MciUMoCDLAywG9hsG8XaX55lF8wuA4vXhG0sL7Q3BTIoQpU/MnhPuvSl1h1UM8D+sbVAxZGNgJyO2l8F7R5QPGxzYYRBqW0r3tlb6WNKSTQXfDyrHg7UJgh2p+ofHRycrGuYkkRaVFKF4IgQb85ZsHQDoJIU+CyMCWTS51/pK6Qzb0AY18jJrFMoVgB6nEW1fmYERkLUw8LIYmrAarHrGy7bx+z4JpcozDoQuosqkmAzZH0fDDT6wDNDmoNojXF/gGuulogIf2mGqVhHXedwI9kGK8rK/Va3STNmqvKdO+O5w5DMkd4IpyseWTFkGJzDFvRAGQb/znvAdYY+RMYPzmT1eD2rvknCCeLZ4pLS8ldCp6FyXHW9zV3GW1/KdieAxc9pl4Cs1Pbv4UgeC9TNbB7mMZdjUu1We3SORcNtEcvqlIL/6fgHlfqOqWVKgGK6AVabx5eD0JaTSLMiGu2KhQM7+ATOh/IhJMnjYhoz+Cs1U65ncTqeYqOwlJHy578Gi0tS0jT5li1fg88xsI33ZOsmolKsUFB2pGX9QYJ2XvJeUtQJKGkxTU8bivcrg9IqVL82UqhMo3oPPppRxFRtgYv8AP4XiSs8Ow2Ffd61zc/6cwK8lP1oWqdVqWzgNkGxz9c5KR/F+jTNE8oFP8+zTvKhf5p5+ULr63+LRpeASmn9GBs23wHDANkGgknvDm6Fz/yFPNn6spmBRb3LlObUqEDeWiJ+QUyTWgtidF9i0lnQ5trHbZfP3K3bzIAlbQ6euKbZx3iS+ipOBNSYftWsXIvGl/lAyVS9TaaNYwK30rcOF8EtxLXBZLke07tx6u2TYzdOZqzIwiaFOf9rRaDFBuZoidFEiemgw9N9XhtHoxsV0NuKz7BDm4WTPcIJktHJSg2WDvJGN98d6H52DkMUO99myRERStaRDWW/NwHlN3eMAa1ZNf/g2JEIue6LvIueivZLHUZ0fTarG8qBIRyOQdOITd+emztG3cu6qGghQSOgO/VmiX234y7V1OTryCXpchGUbiYWfdpzysU1/dJGIUqmr1/t+/If3M3YQfQaCrngVYBC3Bl9x0fyInS5LPEg0yxek8LCek/uDj6Q/rzquRCyxgj/AfTs9GopOEL3IFHQvEGUcShnpw+boULxrhQI+n6IonmpdZo1Y38Qlxit151PJMLMukD1/ycPYrOhmD+3NLy68xmBAqlbkG343XI+UGx4iBlQFM4IZPid4dmMG6h2jQzDLjDwZq+AUi6i/izKFViLc1Yzk4342+wf9cdLWmgnV8fKIkJHvHjwkRsCvqze4QAWazRJiJCI8+1lR9ieNEUSaeUrydJgZfG8Zk+Tmsl3oFt4CQKvhtucukZ691iyJ6AEx9JkxpOiYHLE14iz3CFUynYCTyzv+KFK8u2Mns0LBLcUJD4r6ASkhz+EVbA0GGsftHn5yQew7WSkUUrj267GayrGTGmw6alNxJnnmJIx2VuWFYKmJxpW8Drp+CLv1I23lx6FVRL052xv5uXI5AeJ0mZDR4CbfdvZ+l9Ixxn/8xjHFuDYAyD8Xwe1VdS1bbq8tBkP0e1BnExcvyMHHxbkXN6fLUS8NM/jbyD65HWAiUhE2sRK/6ceY4j3peDI5TmhfcG+RAG+y+cxgzAfVptFMUEvjJ9TRiv1U+S3F6g20+r9LhHeUa8S8ZTjP8c75vkI1z5zLHlNaoBT90xM6H+pbRVNL5b0iz88iE0IfTmuv2wN/azAxKIcJLqsLMItaJeZLansS019SnHuevH/lPJ+Vaq5DI1tIpvVhrRGp7vgyOBn6re5V33E8yxhYFXll8B3Oq2/khp0x2yDpB+HPFeHTQFX+iJHmzxDvopbNXXnM3CvL72PtYMx6/bDhgVa4IxRM+fX7DT78J8QEltLeX9WFqRFKEgJotUZev+vdlHPPJ0h5uZEBheqh4ap6tV+MhCAvCDE01Q0gI4/fvGyxTJ3ikSVFfBn3K+sRtf0qIUdwpO3uWWmjUE6BmUlP1wj5B6NZ/ee8VawE89fpw1kCs7BoZiml8DSY/5KImaQTfn0dRN9zarkLU17VltSdewjh0mbxS2sjkn5ogp+nRSfI/ecPkfHA9NVbCbSW6vq+dfOq/xxkJZauYCmjTXX5kjG/4cVC5lA162D22IRulSVSneEt5RZbbNDmMztzvmSXM5Up1bvcVutFW/WnduNPWiEbztT71hoGNQ9NXlPFidHkHSeYTnBR4RAL18VCmEsinr6ktfJ99w6UjzilXcqLkaYxldYPNMUmjZwxA6JmD+qCaF5kt62ACAEVe5An4GGhX9wzoKFuQeNq4efhZBB7GlENeLMJlvjXTsxPNu0hmTHznGPv2VnLHRkB77XCqVY8Mek3QaJBaxL7fr/2wSjhJosKPVqSN1DK3a0WEpMe1sz2WPRrzEkeMaxqCl3HUnN3HuWNrDp+ave1dYbfr8XE6xbbXfxF3XfBvtnwV4qPFfNvdhjr5heUkM1sKLVzCjojGnS9lr5pJ/66YlRh+aaCOGdcFFb1Yx9vDijeZGYlaEjMe0tqsxbPwC51A9nXifpxOj+Gq+iY2P0fz/neEw8BKQPDobsQAro3E5XwlWgueR2+PdYdTMi8PedPI3ONdXSbIRItxhiKk5W1K9jD0AE1bNWq2Qnv5BFbloAE4Wz9BmMm1GvsrjNnzyIvs4S9ra/tt36LW4Oi9ZGNMw0xamGUQ66Z2LG3bCfkVSdB4pK/L9pax0W1s39wzRwRRaWNSXLMPsNv03M2KDLdUg2wVFZFeuW5cNZ09FlKj181UIB6IPXcneiKOO6utNO49gpswaF6Uo12+egsXcEKymFyeCpqwk9zuM5zbdkW+PIGkvcbLZOsSDyr2xRM90MVngdHP6nVbtzBz5MOVZXkilOS7MY3xiZaOxfaRaDC02OPhTQgcY/UGak1DBDW5CAwAmDecPuOTH3Cqk9f3JrElMk2BFshwSTPrsmbuNxU55I8VsCwsOKQpksrtHmEWdj6aVGw/dzOSP7+41phKwL5Arp4ZKaSP/7giul0eHwKjH/S1Wi/e2x+NC7w5IgAjXr4Y4y0afSlmU6jJuDiv1GdR9xbn+Ca6dzyM8Ol7yDk9SCdNRTGCizAxo7l6MtW7UtzqSyvusF4QCdRlB7RHHgdENq24DPgd/6C66GIELfglS0T6+XaT+KhexV3x3hA7o5QRONVljGrxDumLMt8lGybmlCqu8AmJzFmsabIfG7L4sG03uZZFiEsxOtIlt2U21AaTEiJWoEguY/hwfbIFqMjU4nkTZsSSMquDnDlet6UC61krV3vdeL+iFPJK4zkfaToDpzHHEgszqiuUH839VUhkZ+0JAdItjsTerKUZ7o64usacv+naJShqd/fZFLreLDMXM7/wybppR5NQJZ/3x4+5sYLVJZacbWItElx0jwEYhqxi6yvBn3VRpgxjffqSX4KK34jIpqLYz3/VsQf60XyNC8HErDn3l7NSWKhCkcVrBNcSsdEoRPKYUiTE+1IQfJNfhx9wyRcU7KkzGFbzcubcF3ArcDuFpSKybYD/edzoXfar3Zep9GdM6CouFJBZ3igamCxxf2R6xI4ljEmZJbFgF0bZFw3Swiun8z1UUKGoBthWf/l0bbNR/hsc4YlmSwxPJF8eTVMDRPccujsqIaFb1kKohH2MNCyVvim50AFDvO3+k8E75qRTGEq55gIcUuB8+6xpjmOPAjr5GpM5j+pR8cnF3NSk0nlQYf7NrvHqNy0RVo+HCYW2NIJ6p6DfcsL+5ITHKqMXl+XgHChnObkUINPcF+XL35fCas2hTEdZJPWmQcToU3CZ0uJBVdW6RUn84wa0TJS2T2u6bEyq6LxG+ObMcR4hsw6603efdZCnwrvqQ9T1Y7wmdJ7u8dyEILc1YW1o+zV+vAwJMK4CeRMtQJdjWD3lIFVFZzaDhMucfaSbiJe8C953bu1rhs6klHz2rPBrn8RGYl2+IQw6Kun7odOcpkNdi0O06XANf0syd2siXbrM4fhitw9D4BwUWo4qUsJROIMnQh2BdYjacAfjjMXglgOr+5CondLD2PJ4P60X+AlNEE5flfRJ1G26Y+LGOqOHn3B8HUnsIdQKtSMBKkgT9eoa5ng/TTIl/wdSu964W/NpKGJDWNY5cuAJeArP4ouPMxVfrvbI73MoyuYacilHDarLaoCOC3LJt++x79y6gRTc9v3yzHZy6MMv8ma2XtfVlCYjSmw2t0ZMY1SNy95ZD5QaMOKf2vvEyKI3evGkf121W5nNqz6lS9GYsMDFYcc5zDLgyRBkzOTLC6jMBusd+Q3rWxawslfwTmqtbfnKMUSmhMcBjptOkRE3092OoUPvYNpF9g7tiPN/JGyOHp6i3WA1lI22wqc6sgRt5vryZ8B4vlQF5uik2E9WZ+MqdLRSx0E4J5PMD2+VtzqhmnlaGRd68oMhIKm48YV3NghaIKZHSa1vNeWMF9H74waridaR5i9xoE+6Fj89AJZ84SL0mK7XvFlpo9opHaUdT44++03bI0CoBuO+6gt+1pvQUcoNDNquo3yHx5s0+7I6WvkKhtYixTdzwtFzfTMX+80Xz2FYBFX4kxtBJdlS0qXj3jWcrssFNxrsuo/CV9s1J+wxgXC3HjyUPTBnMNjEnb5U2utz1+SN5AzibnO79mwOAqsMvYWsE11+a2/b9oFunaoZtWn0dr8WYz3wTzMmwfYlopfqIi2/P7mvQHiCEKeEigZAovf82GuiHtlXeYQewIoUz70cpPuq3b4yJjyoRyVHnv9jocG1a7GUv4KLBjwO6vT/AT0LWggNCmVuZHN0cmVhbQplbmRvYmoKMjcwIDAgb2JqCjw8Ci9MZW5ndGggODM0OQovTGVuZ3RoMSAxMjg0MAovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCnicnXoLdBPXmf+9Mxq9rNfoYVn4gYRsjJFtYQshFNmWMcIojuO4juOVhdYxBowxbxwgDvG6XuoSQwhxIA8IcVj+DvWhHHdGdimH5qSQlKaU0nSbLZztLrvbpmezapMmbbftJsFiv3s1kg1Ns7t/6WjuYx73e93v+33fCGGEkAEOMoTq61sf3P6nh19GCGtgNu+hh92VvSuHpmG8CMad67au3YHoBz8FB9m6PY/Zzdd0t2D8NIzbunds3PrwtPtrMP4lQsyGjWv7yPUGuLQRWuXGLf3d/M2WbIQ4uL94Yc+GtetV+b/gYNwM55f1wISuU3YVoVIBxoU9Wx97/P1gDjyr9B/gmR9v2b5u7WPf2vwOPK8Vzn+6de3jO/BxBrrl34WDfdvarRucO6rGYQz34Es7tvc9dqcXdSO0ZJyc37Frw44f/dPlMRjD9Ti2d0NXt8X+CNBYaYfzcsIY4e7HP9D+FWmvv/jl10j7989fGUMsexM/izgk4zyy6zB5ItUy11E30wRtFseyMpZhZOiez4pQ3SpUewc+cpSEsWKMNdoRPkrOse9xQUIZYlPX0vER9I9oN9qHBtF+NIJeQNvQWfQrdAgdQ8fRGDqNzsB4EsXReXQAbUHnUB8aRqdQBHWhIdSPHkQvox1oHB1GA2gjCnE8QgKRp+kBobE5IjTsaReQM5gjyF2R6nY6N9Bu/wcBm8pzygRcav+ZoHGVCUzpAy2RVc52R5nAlm7KsQu1zRGHUNteJshKya0Op+OJyK3c6+25cF1kJvfD9lynQ+BcEaF+Tzs90d4Oz+NKtbFomSAvFRfgp2B1+1OxWK6A4DGKUrGQTtVmppSlRt7ud5cJqlL7AFnku/AYu8AW3e+0C7KFDQJqjhzccHCtnXSW5zoc7bkH6aglNSILqlPUGXINDnhiVqn9J5QdTandLShcsYjdvtpZv7bXHrGv70o9glynJSvD0vaD9tUH69c6D9oPOulyTvJwoRauBP7IhFC7gQzgHh1dqfpGjsORa79xEMQAN90P1Dwi0eagl+lLnfYb0uJOe+SBh3MdAm6PHASG7ncedNoP3n/QuZbckLqFNGWCgajBCHTzhAHSMd7DwEHSONf2ds7lhNxqKgUmDh4gYmtY7zyoEOzNkarcS3DGXDqFanFtXR1+4IIBrUP0SC5+JEKOLRFnF1DvrMuFBjvrQPK1LZE42ObKdXVxbMfQCPZ1gm1DXnotS6kAsyAXOJRRt4DwnTtIDz3X//jtRH+Dvo5+jpfiXfgyU0W/32T+yD4lw7Lau74HZX/gQtxXuEvcH+Sb4PtV+QX43lL4FF9R/FK5GL5Dyv9SFas2q372Z9/fqX6n3qa+leXOOqXRamLagPYr2u/o9PCt0X1N91v9g/pvG1yGrYZf8mH+Bf4t4zvGd0xVpk3/n9+jkgfBmh++FozZH9VX/QHNV6KMD5HaO5NJpOAVZKhEjOQmGBSCw3ruEfAFClQuYuSuiitkJR9WinLun6viLANdJLJkmiPTcYV88e2qOCbzHt7BFzl4R4ixJwvxS8ke7pFPvx4C/4RRZ3Icv4ASiEduFAdX6xKzZAksGN0Ce0PU5STirE7tmkKsUuUSTdiFxCyONwo6/5IKaw32yp0LFnqXLvNUZlvMckVn2zq5viLc4KlrfHbg0+LBViZwny/YGxu+4oWVWkGPLqYO6F8ALsctYkWC/LAgc4sIu6ZZLVLJXCIHiyypMHkdllZ8E18eGiIyG77zPu4HKrMIlSqgcpqVIYPMNbePBY1bQDdEuTZBf1r6IF+aOqB0OOypCIcrPOHuQHh1lS8chiebkxeYODcJVD2ICCnkCWxOQmANIsYukclJEIqEZfMuVrs/XI4sLrVMQOUCUy4gg8hynwgMXMh9wkwhzLDl8BFq52HCAPZgM+PcN3MreUH+x0/URIPRO++zpzgPcJGP6lJ8iHpVQrC5RVYFgiigq2uMCUFjEM2wutyYEOdDa9bwRlHF+v1ItOmhK0d+UIDJYPRUGnkD41zA0H4N411aDiMdE7319pVbt668fWv8cJ8/FioqCsX8/kdXFjGjuAFHkhPJ8/A9hdfi+5M/T84Eh985cuRHQ9XVQ8QiTkOc2c/lIg1IJE72qoiBRnUl0ROXlRCUbixo3QJzQ1RrEnE1A+ZRq9aoXHFGTboMUpGjDOxFB6SrGTAXpR8k4vE6eKe3BvvAGi2nses30eFlQ1h3iH1ri2GJ47Mdh2DtBlh7DCSUj1aiuIGsrWMTwrxZ+VhvEKHErXKylJWHReYTo9QZQCpZRr9fmMdPIbk1v9BKBFSDqe51jAJ6DovDW8N6ly50LpArGlouDJ3/++bDbz3m7fPgfbenj/77yy37nmx52i/bGt3y7mTs4ts3+2XK0fVHf3PtbPPOI7E6oM4L+hsF6jyAGeJuQp0MqNO4Ra0iIVjcYh4hcik44hviYk1CWGwQHPYbvGiEvtEtOkBaRgeh2wjSEr2Ebo2MN8YRXuwHyrW8WFgErcUYz7E5/ETDQVwAHCyjWvVS9VLiiwlfBQzZcpYClvDnXFDOeNsCY7v3vujqOvVYz+FIUX9Py0hgTeP53W3P9vj39wY2PuhauftktGmot/XUtuqOoW3+tfWFQ0V1UU/n9oZAbzhW1rqvee+LJUrd8tZtobZDnUvne+qI1XYB1xPAtR2VA2KI5xG+C5UJodQtmhWUfY4Fvt3UeHk+ITgqBd4gloDyrXxCXAJtCc8bpzScOQ/UIlh5UaUkplxaSJi38sCqqDGDmaj8AseDsYDmlhqp7qyKckzsWZHRJOHUR6SSlkZXy6Gprt4Tvo6SHTWhJx71M9XjzWev1fQeau4c768fNzw3UNFS7dz7RPVzTOwKNk82Nwc2uZf7v/KTk42Rq9c6TmyraRr79bLL3yt5YNOKoWPNxNtEwQrHYQfo0KrULqXuijCpdwuqG6LSkogrVUSTShbsXqUkXRXYvWgAZpUqYEUN/GEEHdafcmZyNaNwLpvH+KJsw+7RtmLlN5SVkZFO2chzm44mf5v8j+T33rgAwc6MmQPgi1pB5mdA5sXIBzR0oriTSL1MnhBWukWdHCipp+JeZEgIKmJjy0HuiwxiLaxv0ieEJWSuALzHapioXc4bvyXXcTZnmTcHNIDElWW88ZtIZSrwVqc2ytIaxuctx15oU5YFIp9jWj5zASPZYbEOm2BEnD8Vf6srFHGHt9/XdaC57cBaj9NTW+D6Um1xzbaTHbGxHXUvuR7YGOg77F83tKqpZ2VF69ZA3eo9W2N7cVNwaySUo/Q819O4L1LhiQ01ejpa6rJVtuBDG1c0DHYsW9a5v8MXDRUNbgxGQ7587zOMK9BaV2kN7A93De8Cu2wBGb0wa5d6IqFs2I8FbrEQ7HIx2KUyY5cOYpcGMRdceXGlqJbs0gEaEo0m2HS5/JQ+myug0skGFysY/UIBL5j84mJipWqUSzekKSMgRgeGubBYMkUfHfnM2SAlX8pkW6o3HW7qPNMfank63tUztuxRsM/6JzruA/tsOXt1bM++4HN1hmMD7taaBeyRjhPbq5te+WDsSvKDyeamql633z/807Gm6NUfDB1t7rj83ZLGXuCYRkH2hxA/rOCD5sY+8D7TeikK5hCGBU0lCYKCkTai7c9iIf95cfHe+MjOSwdKWF1O8irIPxSAFR5IRQaB9QDAACrkSoS1EK9UKegAAldYEoLCIMpAyqw1QaCDKFOAF2CwUkWljJUgZS3I1AOR0sk6WJOjuBwXO3VYIcdvX8Jvnx9MZg+dw8dqi1Y4lPNXFHHBTy/jE8luxnl957/s3v2vO2CfXACauoAmE8pDRcQKaLwyqxKULLFIlZjOz6Ok5ROksZCSZgZ/nF8pmA1iDlClgxF10wpTQiwmRmEmsURNPFSemWIdIZ8X1VlgJUVGQUEo5h0Z94vpHimiu2OhC3vTnQv42e6z/St37T06fv9Tr+9MJn81een1+K/ennxhbOwdLljYNBBZf3q+0nrqUNexrooDQyMDuwf37tjeSfxP7533Zc1cBDmIlvOpXasTcY5wpFEDGwtSrjY7ITppEMnmjdNKpLLNkzbz3b7Tktq8Piux0XLM9K559Z/+dt+FQKd3qK3z5PbqwObjnV3P1XU2Xx0avPlKO3PqNGamO9fXbfGHGp/5/sDgtSNNTat7YhsfjWMZsQMi8/0gczVIfbkk8SyQOEPoMxELMFP6skCwWQZRDyLlLAnRQkg1ZYFAuZQI7YgnoitOYRgisWbsw6GWU4mXJk988OsPfn2CCwJS+c6p25OxQzgXk/RBBwdYn30X1s8CtJBaXcVK+oZwPM2lTJHGpBQgVAEhskrYLtRNZxF4omLpUQEuOwUTCSZxSL8LrHxmHCeTDLOTCx5JRkeTOaPSum/AuipUm1r389dUf86as6tl3bMaXYuBxJ+s5D8ycyat/27QfxHaheKOe/U/nZvn4GC1XDZj0WAKJOTCLhcLDIm4rYCsasuF9YhB2yD6xjUcgRTg06TgmwtGIxT4hTxe5AFNChojBC7/F5gP7wD8ljahvz7z8wOHvh3o9Hy1u3u8LxjYeWZLeKgk+R6+UHfjwPC/vLpGsqKemi3ecNqKXEW44/DMtVAkZUlUopjsXhYsfVaiGRSuSdAfJ4nMw184S3wAuTMIvh8cAjJAppjy/DKQkJLezVMABthUNBKTUwLEgvxiLpyCR9HAFtxX1hfe2nvOFXmm6/Ybbc2rh0+w/+92Y9vxvjpJ35OwBodKJTtjJTvDgjxNYZylGmY5kLUiQyjY0FmmkQt+1jIq8cnZ4Ek29IjkN1UpvykoPBjQLXmWDQKUzSCqQV8qiNu5RG8kOpktoBw1P8WA8yToSWUUdXq/hC5Emc5PN5MHmzyQcfBOcOs+J4udmHWCa+IvXMWyLlUHZq6e1imVW5LJtcnbvSo5zwVnliQ/xCbmx59eZt6L/iya/OnMCuY72AXdmXyJZtlu6llbJJqzJJpVnvQON0GmYjKISqA1y0h3uGgiVBECBSUvMhpos4BK7nMJBrwBssqQKuB/H1XKdacF2G5KpY4L3v5mMtH9z73M+U8vs03Y3P3u5pk68D9kd7wPu8ME6Cgkad+W3h9O4h8Xpdw8bArw8QUkCQFXSfBoAXHtekqN0wZdNZpj8QXYKIV1sPAU4plNqHpbX3p3cPDd462tx0n7Uqvo73kuGh3d5PdvGo1Gn+vxM2dOYxTv6IzfQadOJ2+fX7fuPJadHrw22tQ0em1w4OqhxsZDV9P+MwSS1UEUr5vrSawQrbR66km0ZG/TQE7jk75S0BloDFVoUsFctBKQMjcY6cCF2vBs+Dm5/cJQOLz//Pbf3RK+fu4bt7jgor9+cXvvye6lMx8wp4aPjO6UaIkCLXqUg9bcrWcxB8jRGSg5OkKOjZKjB3IMlYI+laAScuaRBJVkpVqImYKCFzQgXoOOgmAhh78nYoJpOueSOd79jYFV4yO49VLy9f/8xdjXJl75BRdcuOZIz9jrzpnzjG/mKvPW0P7hXmKTbbDr/wia96AYilekd72VEFugTqVexhskzyJQD3ajWApxx0tCuhGowYS4b8p01oJFFWQnlRrFebnEFApkBA1j47zcUhpA52RdblzOpkCx5A/lxB3Ox2lovLCtO/xWz/AxZ9WXllxydzVVBHcej/VfD8eqX3h051ML65pK3vBvbHDV7v3a5sO/m9zbGOvv8oQ9JdZWs79lZ0Pj/k5vrGFbILQpVhHyFBtabMHWnQ3Nh3qqNgO3ftCNgeKt+1BcnrESBBCXrcSQhgvyGyIHLoijyTBHUhE5R7pykoqoMnUUSLt5P3szufmcTDhy5LNmmQBPj8Mu2kt9kg/FLUSWSnXKuwm6jFMCB0cKIRAiRYPklLQsiNJC8nkTcaPSLkl71HImfraita8utKutYrxhSOjunhpqYFys+fZ/9I93uVxd4/1szu0PTt8aqaoauSXV02XzgQ4tOoPiWmJ/Gk8cEUbVWR4gREcJwdaEgFPeMQt0qpcqMv4Po6QioxPUBkF+iQO4IWguXazu/vAjmM4S5IYphVxtck0p6VFFjnGYIfVMpxwsFLwUeFQ/mpKrFEpSvMHTcpUm1aWFHFiRolQkIq2EXHiPqQBbPTXYZwLcev5mka9YVeR33pxMtr0NbtXV/8O9e68/zvwUAhVGtmSSff/OdohwViSwbhFlJciP1rxScc0K+rGxP7pdSffjXrDw/extlAu+bQDFzUTrNqKc+QCw9JhoCXYl67TpYVeyWRlfl2dKCHkGcQFB25bKStGkoZ7ZrAMX6KauL4943yzikBfwcaXeRsCA2ShkA2usjaoUPLaQ5Rf0RtjAxCkWFlHfJ5Ubsi28k4Dz2TSH17F7cREOGt1NNZHnq1bWf7///PghvSz8WmzwzJn1DeEvhwfO9ZRhZnzS6Y7Wu+pKdpe1/uu3Z8b2Bh45drTt/pV12Gwoq2kmPnECrFHHxVE2Wog2Sz6RJ3zPg5CrIHwXkk4hsW4FVkEELqZ8W4FPplLMzkkIVgMtlWnAPBaR0gPBN2a/MB+APU92+TyUmigkDkpQGAVZKhDxinQ1hW7oYqciU14g7CsmJmShV1s7j633rNp7sq3++RUKnaPuy5XVPY2uvNr19f2jXDzZNx1oDg9f7Bu8eihcG+i65Xf71h+LtRzoXPYUsfEO0Opu0KoDVafxPHDDEbY0qlk8b5HwfHY+UDoPIBkfB1BPFMUZparIHE90L7BnOpr2T3Z2PeNpLesMhPpa3GXNfSvDu8saQ2eiXecGwvjjgTcP1IfdW4orlncfbmt7er0vULI9UF8//BbRQCfQeBU0YEZO1JfaiXEjITUnTep80plPXY2aaKCQUm2BPM+SSqyVlaJGQ2uXWrA7rVssAj3kWsDuOCOtbwl60EOONo0Q5vMC+jPeigkkSBkakza0FLud4b0vt7UN1inPPq2TB05EXv+3yWf31z9RE9xTHdjUVIY/7n/zQEON9ywe/LRpt/8RrL89fXVlPQMPX77+EHBItHCW7q1C1IviVsKcQSUxZ1cmpvO0VoKr88i2KqLMacm2qhS0BjGfoAh9QlwIbT5wEOcMVj9FZnGNyewnBmawpgxMS8oGQt4sukiXDBQOGlfS+vI5SAFFx3Q0Dpxq63h+g1c+06meOhJ+fHmg7tWN6yeHGsYZy9Bu79omD/5435sHwnX7zvX6ik6/7lqwraQmPHz5eydOu5p3g31VgwIPc9eQBUUln6EhDlROkjJgTtB7RIsKMgSIGtluwXyDbBniIXSVcZOZKNTEQ+wwm0jXTGKHlaaVTCqEy3lwkSSS+FKVfqsCyM7HHosT4kr1U4efd7c6i3z+Qz/5yQQbHVSPnRBMuiHb5bGR22fYKHi+WNLLfgxy96H7UTv6AYqHiOQXA3EmIvm/kifi2aRjUyQEj1sMcIlpx0MhE2jCQTQRdQu6G2IDQM3iSgHRWpc+ITRAgAcjU7hJr5X4N8h78loJB3k5JNvKa1W6xHIIWmvgZAP4epEFeCK2Aoz+VpYp2+HyBFYSFJDHCzZQXigAOi1fjohOF/NxVraa9BxGUVEM7UN8PEtdSGZsxildXkMrxQlWwNq0aLZstnaWDf7cKRUFwJnooJcdwHNKl8SkaenShel5UwZokmparClU5FlVXNEc2DjSWLI6H0evO93+ruHGoiZnbmFD96XJb9Tvv7g79tKWqmPHD4R3t5Rt7DqXv9LhrfA6Ao0uV2PAsS8S2fdGsM+ttD5UFezIVZaMrGnZH6vQZQ05e4PNQ5FKk8HqK3FX7xyof7JjubO+K9Lc4fQ1FNd75eriNtbqa692OKojy7c/3k981wRkQVeoX3hwFh9Sj2wgHtkw65EtmeIKQ4srGhKsAR9mE69spmgVNgnxwnd5XhJY+FRdm5+YkIdf3jQ2OhFd17SnkTjW66HOK5dmRpjOwwMPNs64iacaAbL6uBHI//WoCsU1xN61xMxVbpEl764Mc18DTWnkCCwBYKvIY9Km36SQnTlbAiNgZiRUUREiv/kTXH5FIFDhrqn5zMi+dzsfMXcmkyG6qh78RxjFlWRBcHGy1OsbE1k3L514TuUqDDpw8kAB9Rtgc6LJRnyEjKAIREMtBiGwvtmElFIxh6IWp7Eit6FiYt/z7oY3QxXuUMhdEUp2DMrV3TFZ62fnXpoyyK9KVBI93XkfXwQ96QE5UO8tykE/ci3FgwzRjyGTVfOpaiBZNdtzH045pIUTE/lGpV6XbShzdrZclSU+U5fYZYNKVV/KCuRyGsG2Srkwb/NAngBSoMYgaD1iAQDT7Mp0NAMULjI6isRJgmDT0PQWMnKR19A4JzoYago0zSV+xshToFUAQ9h/ar+UKBKoRfbVXbaiyLQTh/TyuuPRvqGCprHYiecnoh07RyainTtH2PeOhDvXr2nblLaf4zNuqcnYNXBkRs1z8p40P8S451g05eQekzanyIconTFsML+7iZ5r2kBn+JWMbVPq7rVsEqH+C2i6K7NNh1+najaztcxmtpYvzmxn6/mzdfzZrLajcfBMLHZmsDHdTpY0bg4GNzeWpNsUaqg/8ObAvreGCVbYR4CDb/3TbW2Hu5cDkKDoLRmT6YDubKB7A5oFbrPiBPQmIHea/mwwBmslFWr2LGojbGRLQp1Fbfxc1IbTIjalRTyL26w2PBe3yRVE4qG/i3Qe60oht5FVstDfZHBbcKghGeMO7PK3AHDbPfj2oXCNdzIpMEOz2K2eVBs6kzH2KrUTJ9qJZiGRMYe+ydNC4FQTNtMQ6R5cBKmTkJvBRWrAqeoULtJmcJGavPICXERyVH0aFanvRkUeH6nt+P4iKtofkvEHzioDJ9o+FxUFqjo+7cddou9L96Aiug+Y68Afj1anaxEZrWkhI1SRjlqdqevzqd1AixF8SlsIrI3uWcPde1bKmFO27xltCyxx2EoKggc97HvTHdstR5XK7sGZIZLpgt3bgIYKtDb9XlUpgYJ88gqn0i3wN0Q7QAB7Kq9fDHHdA62dn83rs7LzC90koi82irZ5xHbyIa+fRpift5hMZ5NAf1dyX/x5ub01k9r7W+tGol3rSmpbSry9rcuWRAabO165r9mzfUVHe1HNQy7v1rblS2Ijkd7LO3d469asKPa7HLzRHYoGA5saXXXu3uKKtvucnoXzeXNZqKu+evOXljQRz1Nx533mhOxTyLwfQ3ETSiUB1H4E7CH5nYAq45wyk9MziFQcISHPmS0rU+MjBeV4Dn0PmQOoTVAZRBa2FKSZJFFnc0A2DIhBY4KOgcYcfQrHmVL155QdSWjUy1ecND+DNcn/XNmWW21zlKx1N28J5RFEh63JxMjMzdh6g3pQZ61se6KBKQY+ToDW4ux7sDPa5uYLcmnjC2pP2oNKZQQV2eh3JQjEj6rY1Ns2KT3Acik9kAoMKVvP5AQLT5yNdDXtXT1xSKeoP95zahRvZfbMnDo80Bxh3rydf7Jl3RUiYxt5gwu0aUllmdKG0iTp3KR8MCehN92V0NsmX7e6s5XWMuvrZ5KnrrDvzVxrOBoOH21gvIADQHsIcYfhyQ58GsXthGGrw+MhpX9Rrq+spOtMYXWWudDqScdCrKHVC1Iws/A0+JHqxZvcxxpSvRCQQXBc0sEVAnPpYs2a3z5PZjlBXq6DnB5ag2jnPiHpvZr75OKbVR/V0Lus5UJWOcl69Xmf6MiLlty8Ty5W//6j3/zF0sfFNws/epGezTJMabL0MK+lRx05CrmGqZxcKwxt9DiPHC/WyD9eRm+xG6by7XkwX0CP88nx82opcThDBvl+ocAfh1XmXKD1Czp/HB5PBpDg5vhRrZ5RaXJy8+YrlFqdbV5+QfndH1ybzchV6iyN3kqusjv+wnXSh9ZszKRmk00R3hzVzlUyK71oZJ0V544Z8nVKg8N0fPyk0ckrDfmG515N/vH6EeN8E0ybn/4umMDlMMTAkXommOodCDPB2/mMNXywsfFweOYDanHJVmpxeehxRI2A1q8E3k3qqFjIdwvqG7RKXpDSftX7H7TOqV2lSldEbakqlWquZFFcrtIQYUgt/YuRmCOFRsSLnMV/ryHr2Mzr6WVBbJv8gdVjVVoXWeLjyZHcFdG+Rqc/x25YbGzbWmAFDv+xbnRV6OgKpvizaw2DMa9a/VVZVn+sgb5rgb1UAZypULmE/RTgr2SERfqvHAho5K2WqEDUGYsysqHlJBB4scPrsGCHJchok2XMxMzvmfwoi0aiMxTEo2HGiPtZMyD5RQjQu/Qu+wv/zmX6vNfWzGjmNTWpKCrGbv8Gjs/fmbxzVcGnaoxzPk8yH5D/0t39wa/cO/PFHzyDOpknUSu0w8wPkZn9BEXhdxp+DfDzpq+Dfpd0rhV+LeT6v/RMWRTJZdPogmwU9cp+Da0PXWB/D+1HqJf+BXAejG8SfZB/AqML3I/hVwa/h+D6l0ktH57xGly/CrXJ7kd+bhGKywr+Z15kiPhLaHPQXtkONMG+hjqg7WT/hDqYNlQtU6IY0DaB/4RG8Cd3JiktajQh/zs0IeuEXxu9fkLWDTL5HtwfRX5mGlXAPSfY15GNe4N4TaAZ+mx3iv67ZPl/lP3/5UPlTSzgSRRFHJ1iYMwAViXvk09LlykQqVRgmQr6Ztwi9TEqwEulPoN0eKHUZ1Ej+pnUl8GuOCf1OfS3aLHUl0MPoYfRdrQb7ULrABc/DOhmG+qDfGMXzJahFpjbCGe3wPwuiKEb4NiHNsG5bcgOEitHS8COlqAA3PEwzHz+FUvoFT0w9xisQs7syZwrRz56diussBnuJtd0w+wWeEYXqoSel/789ClzabVnqLVL9NrvoXcufStgP9WhVdD73/Obuushet/dZ76YjoeBh10wtwnu6IG+He6S/h1/ZyP5L/+ffy7gO8MCPoweEJTNERHjZ9rFevIvcMHQ/oBgboHOl9vzBbkrFkECa18lsK6QILOvirMmxkUHHAxkOdJADgPu+9JAAQP5TmmghIGiQxqoYKCskgZqGKhKpEEWDNRLUgNwctKCWpjV5DLgU+v3wFAHQ+3sUA9D3cOZoQGG+mWZIQ9DQ3FmaIQhvzAzNMHQWJQZmmFoeiUztMDQXJgZZsPQ4swMrTDMXpAZ5sDQ6koP2wWzC+FHdljmI/TftM8GWQ0KZW5kc3RyZWFtCmVuZG9iagoyNzEgMCBvYmoKPDwKL0xlbmd0aCA1Nzc3Ci9MZW5ndGgxIDgzOTIKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp4nL1ZfVQc13V/b2Z29gNYZvYTWPaLAVZ4QQu7wGqNPhBBMvqwzCESWShSJEAIy5KRBEgmCiEydWwhI0V2ZCtYlVVZpoSo6pvV1lVsR/G3neQojuIY11UVH1dRbXpsHR/l1HUxDL1vZpFx4uT0j57OnDPz7ps3M/d37+/ed98MwgghAQ4cQitXrr+zx808gRBOh97cu74eCn/vtkQmyAtA3ty2c8supG74IThwbXt7fOKjaSaQHwb59o5d23Z+PRn6O5DfQIjZum1LNx0vwNBSOBu27ejr+N7ppwsR0sHznK2dW7e0px16qwKufwLXKzuhQ3yMd8Cr6fPyO3f23De43zgFMoFndu7oatsycv8PoM0tguvP7Nxy3y68D19AyJMFsu/eLTu3+n9bBfp64Dp+ZVdXd8/MPagDIe80vb5rz9Zd+5lv74dmLshP7dva2mF9bQPo6HsBZJ4Co+gud244rp49H15Uz8deqUUsdwV/H+kQp4twl6BzRDszl1AHc5KO0qGv3nq6OkCDWdj4DgVahg7uOz6EHqXXmDzmU6oZ0mtjuU28APo2oBbUirrQPjSAkrAfR0+hv0Vn0ffRTrQbvYRk9G30EPoeegT9NTqManUiQgQVE2RdQ9bWx8nqvU0EScuyCB+ML2lS+/qbfL8l2Lowq4TgYt+/kPRgCWGK1zTEV0hN/hLCFt+d5SPV9XE/qW4qIVwxvdUv+b8Vv+q61OSCcfEZ18dNLslPdME4Wbm3Sb3Q1ATP0xVntDSXEL5YzsMPwdt9D7W0uAiCx+iL5Xy1q/pWl6HYIvpioRJiLPb105e8Ao/xEbZgleQjXOFqgurjQ1uHtvhoY5HL729yDalSgybRF5o07QSX4IcnphX7fqPCSS/2hYg+2BL3+e6QVm7Z7ov72lu1R9BxGfTN8GrfkO+OoZVbpCHfkKS+TqIPJ9UwEvDRDlK9lQpwj1l905KJLL/f5ZsYAjPATatAmw0p3fzqsMxiyTeRernki6/5ustPcFN8CACtkoYk39CqIWkLvUG7hZ5KiEDdYAG9RQqANix/BGCInqQt2zfPR0JvtRYDiKEHqdlWt0tDeuKrjy92vQBXbMXnUTWurqnBay4IqA2pRzp4Q5weG+JSK2gv1bjghKUasHx1QzwB/PtaW00C+zCciK+NZG/NnXuXvZhAL9gFDiVq6CM8O4sgxlDw/2jvxnrcj2/QnTk0b7/G3gX7a+xr3Na/uF/nrusqdc/zQf6ovks/ZWhS9yeM642XTG7TKOxKWp+6y6kIx2j5mYNTl76Zufg/kdeAbsV46jw7PnPDOKg/QHMWYlJhzCC4zrTrNiAWonWhjFFocULPuT4Oy7zuXxcnWAaaSGZpt452J/R87vTiBKb9EdEvFvhFfy3jU/LxcaVTt2Hqx7WQPxj6fN07vAUsakXLUYLalegjMuYmE7zRHA6H4ckomEwXEJsRlNP1k5jYQrIdB5GcjkWLzOhiMZkVRAuxxkrLIhVRHMFOu78iyvpZp531p2HmCJP5BJ46PTM1untmZPeYhclJNDa4dE9P/ZWrocGF1yj/6GpgAoyAnYBt++xNXYj3olxUhCrRQZTIohqhiOxjJwkOJ3SgjczpJklFOGGk7Qg7mSwOZBlBu2KqXTREmAnZbZokt4WJW5AlHJTtIJX6JkTZbJqUF0GHmwGFc2KkVDxvzBJ9+c4YkgM+Cscei5FiUbaIcOYs51lzaSVcVZGJgYpItDISjjg4u43Xexi7DfnzAoVS1IMj4cqK8kIpkKevcFRhTcjj9dv/fuy/N/5NsyXzBkaPPdqV3K48o7y89mKRuC13tPbCv7968XhDNLB994nk6yejx7xglKjQojcwP3nq6K89zDfH731nFpm4frPzJDl7iuG/xZ8+cegIRyc81Dh7TecHO+WjPSjhBxvJDnYy4fCbguerHdnGYIKjxjHrJxNmjvaZTcYgJgUhgiZkC5jDIsgmHEwaTUjkgnIh2MRkES3nuSyvH/ASoyhne2JgFYcfLOWKEbNIELUIMYAxrOWW/EjY4cWsFFiIpTwOTGHhIuFlOCKasd4MXflM41Xc/W7HmZbbxdayZYc7H5tFPxzEKPHJpooG12pzS6L/knLhAvPOZ3jgstdlVt4/W1RwSrn05svKcy/sOaVcZ2ycV3oRx4Gh22c/1b0HWB0oD92LEhbKCFtEztYY4aDgGf0kcYYTaRQ0MOUWTbQGC1fzwphIKjecAN8pyG7ATPmQT/ngBOwGiy1NZQIL7JDN7tgtt/vD0aU44kOijeEk1eOOSDjfUiGA/6mPMbN5ILu9CPfinjeUJ98Ldm3ujPcPjGLhtPKa8uFjOzTHGhlO2ac8Ma0cfIPj+9w/wGXv4/V4sy3lzVcBYTH6MUoUUUAATnOhCC4UVReK4MKkx1vEAdU9EAF+QFSiOpTy2y7IuYBEgqYhnJBy6R2SH4iQK9FmrscYPG+Ucg3BpEn1OTGF5ry/EO7LtYuWBJdZFAPem0Q5rYA6P7sInF8QIx6R5Mdk0QtmQTRAOHEeDTzYCTQoBKvkSbzKBDBOpWo2u34eHd7FXVcOvXhvJtAhe2PjflMaMOL4/s8Snc9FppnwgGtz5sGL236pvEyYd6Zw/2W/m1N+/yOX08GcVt689Lzy7GuhKB4XNm60zEwxLq4g8DJwA6N1szf1j0LV4kWLtewlC86Ilr8yLR6avygDiCkic0CXdDCZLyT7afriIH0lDHZXLOVnKyiMnVEMWlvVDJYGE4OECwNpkNDWkdZX8Eu4u6QEb8anLu5JztwkjaYSpXmZsldaZSp/HVwcEto/H3v0GNfYLkxdpqmNfQk3n/vcyW1qvaqMTNe6GkDfTij0IqCvneY2NdtmqtoSm8ZeoovIJnZS5jLCoKuDEjZpNSE3F0xYGepIqx18ylhpk0HGIOHCxCrIBojlTG1YpoFey8yAYYZM2jQAb2Qn+NhgBQfyAvWsSQVvtsTmkRxbUz6TMCs67Z1nn8YtzNkjY/jtsZdmNg2/RiGaOz4fUz7hblraAWQ7V4CzPi8FXAxqhOrxfWCwE2L0QMoTFJYjnDB9OShZGotJSw4yAY8tusm5sMwyqUbIUlFmOSnKrFsos7R4zZiL1yyqvmiKUSwWwEKYmMzlALyML4ctpGuarLkgztOLOjt2RJZiNTfrG18cx1xo3ZH4NBaeVD4/2rrJi83KJ2sHk++++vyRtRpYveEtZeT6fl7xwhR1MZ1J/j75jEVDqxsBtAvQInQs5cds1Y9yViCcghyeD3lROOkPqpD9PECOqZALAXJROFGoQi5cQCEX3oJcKKiBSSHfDueFhTRFmdwCTc8ZIrEBcj/1ImNz06ANikSgCVrOWPhVFtA7IU492Ivt/rxCLVr1vARuZh3q3AVdtIMHu0A6K1rSTe1y4YRQN7h+Wa17t/KBa/nSjoY7N/B8tP+tt6KHxn+yfu2YaBEKNhfMmeq56ycmywzen/5wdyfvatg5MLG3CzMzP3c1sGY+Qcbi9RgzMHkxqHf2A66K64a6rwh9FyXc1HpZEVkyTBJrmEhC0s4hD2UyBuMZDJNJLuDOBMtx1HK3qRnPD5bzC3IADMO5wmE6pclBEPwIOJCWDvYIiLIhE84WC8mis7tEkxcEu2zggC5pMZIpknQ1iVXmR1LTdQCyfNhhZyN2mrMKK3h93kIctdF0Zs3jet/GoaNHDtacXSbV/qH5mbeZAak1UhvsvtbyeGPy09r7JSapvIXdB8dXNx7fFZIao9VnfjmzrtrivH3dQVx/eO/VxT48sJfmgNmP2De5fshZS1Ail0aK3QjZnqLNoCWMT4UoAiQ1UdlzQeFs6vQEMmTF1MKE6L+Yhp12bRY2Y7tNrUSiTlV9pnME86frhwviZd6WUOupzTvGN609G/TH3u49fmU3472ALT9wOf5jINvR+tLD4+/fE3Ctj8SOYlprdsxe48b5OMoBDw2hhJN6SIzIXuPk+QyvE+YQM4ci4CFV50KgtyEkGyHaTaE5B7nAQS4B1mRBmbeBg9JNk4m8dEruPAOkI+qrPBe4hHMCnnRRNok0lL0ZANUWI4W02tA8pY/JJqPqsTnATiB2gVOccxI9Ui9p0EXNEh0j2HCqY8tl3Bx80NsXWRIsSezf93rf+ebHm9c+UuJt3dhydhfjPoezTnpxi78h4JgS6gRn+R0lq/uVKyO/vbu0hDX5Q23vgC3aga027gDKRhLartlCFub85YfqMyfDSafkHOq6fBU8xCzJCZMMLWmZwJEFNGkBOJidtAnWaqN4BaeGF+LZGiM5Flpj+UVi0rBWRqHWdDrsNr3f5rjlV2T1q/EKhG0/PP0kz/9De2f6jPiLnzYkS6TYR/tuKJ/9E1PFdFc0HEgwwXGcfoLDe/Zermu8fDPgqof8dzveZyt6b6X0Mq0jWxBiW/njUG93o0Q2xZbD0VKK2EO06rYYJ9U0nhFK6o10esHEHSKuCcKEZQegFKH+cqk1p81Ij1mQw1wO2uFCtMMFpajsoSxOZWkK1RQjegsxUpAV0YpyGnROu+Y3N0y/flGdfsWW9wZ+2rzbZ2mtXtIQwhHl0gczI79g311d0Tz8u/3Wk+n2QE/X6MD0QUt9vY3thbVD/8wNboQ7iMKwkrkTXUMJgbpoDT+ZsEEj6VQBkNKQXAmMXRpKBowoFzrcIXkFC75bFyLpE3INoEJ0rRCBRo1A8qCd1JvQMhipDyXztFaNINeBS7NNk+dj2XUQEMUmtAACojhGsRc7APVdcD2iB9BsjNRQ0HJdnmipNrqFBaWVS6pXrKGJPAZLDSdlwtJKSOXFERRTUxe9x22R9XkgrYDg8MLZaTmfnl1TB3fJtjXwWAvYz1leGV3IVMCxMGXHymjELgFlKFMCNCMAgWBB4sFaV37UpuV7MHcgL8BbUyJlU//26kiZsTY69uA/3ze2s2xf35sV+y/17WtK1y9d5b+75xwJH7hx6rLy0bkXj4xeDA32DfcuX+kcHt6/78GH9hz6qPGxgG1RRTB4pKz1Nw9caF5Xhg+v7xl4bnOBe1lJ1WKO++aB9d0/ajn47uC+7l0rG0OMeRW76uD4w0dGjg4irS7SVUDGyUdPaesZYonIeVDFiTYvreIM1JU5RvBNSCUkE1JXM9KE7AE/seGERy1zPT4goORRi1+VgLQEJh6BrlhlAXKQYKfXBAsMswu0abcatfWPR9IIaqfFLZJzwFmJDJ0EDpGRAS5BBcxg1Z2UtwVOVq/OFjQ+7SnGUqvCNJKSOnG4hOEar69/8KjbdUzJHPNv27F6dPmjinRMd3V9wKFUna5t3LnnnmR6hsLbgMSYJF5uWxiafpsKumbIPX2QjHfzncgEa59d86oqYzjBY7oKCiXNRlrDY+JUKwoDQDQwc1VfgjHMlRNw5MASBuG8YBDNwWSaCQnA47RQUlRbchYtEGHhk+DNNlpWzZUQkGmddlxeSSdGGw8Jt2/sMM4MnlE64xWLqxqjoTqIvpU1Vavt0wZbve5qrGF5pOquaurTXtD+APjUhL7xJd0JF5J10OLBh2l/WW05PaUW4WNayQ7OkXmdqM2A81TsHTuFSwKEGs4Lxp3Ks9VTHYBc+mtQa9yO3kCJKNXBuQDWB4u4yaQjO3BbRT6sGvWUW4wA3aVAMC/U3VUhEpuQy0GrcjWgyytBq1g5bcaiYMZyQZ3BoH5LFAZvFW9BtXgLFmnFW4724SFhz1FpRgvaHJV8OZAk5cVwtTxGyzeOTZVvRpj3oHzzg5QjyoKXpoXSRVD1oQw7R5OFXrxFPvtSDJND2OlwUhJCdM9noP7PUnIQc0WrJ9vS0zZW1RTUTbf2HqwaU1wHpdZNwycdJxTX49LmlmWj9Y8rRYfYj5bU2Q8taWPc/vrYhrZfnZ35FaUlY33wZH3T+kd4/cwrqux/4PjqRRXT16nA1mgW18W4XqhuhrXqhmREZDdEcnpmDo1kam3CRGjNo5Y6ngmaRhPZatBmu8BMnmw1lHPBjtmCLICl0mBAmhquaXRdI6SpQWwGO/ppFvZ8YUdBBGJAzeSGLpTG0a4vm43y+M/YhgmuVdrPfv9Jxf54YHNz3dgazQ5A7UPLtl6dnnlDBewaPLl2HmC1WvqA64IKIRO5UA1KpFOWWdlUhZBNp5ZctSyA/EMEQXZQSkNNQGsDh0BroHR1sQ2rM5j/tZkftLTYeYbGGxO1WdQczYCyHY99euTMe/cwD3/8yLlr9/xs/MyZx8+MPnmKqTqH04ZHlKnT55Qbx0/jzAtXlCuffXwFZ9wE/fYriHtdrWAC6Kj2/UT2wKyoA/0SJqpkAZTe2SEZqVM/JgtCBE+o83sOzO/YNDezY3VmxzCnE4dW29EPKEUUB12J6Hg9tXeemLCYCrSlGS3HsSOmfkKAOqfAcp5lzHpKZp0I9TxdqVi1ELaniKx9YrHawSnYSmu61IKN339kGFSteHFX3+t9jyjKaEcX/+bMDbycye5tbB3rfOFI44DSYNNVrwR/dVdt7J56YVy5PiopN0csDboTM6aish2/P3v9yjKaFbqg6umGrOBA7fMykx2W4JScfCQpGlH2F1nVBvSzqenJ5qDpyXYrPdGsaVOzpt6gIhapIViDmRoiDSDqY/PSlP2LUoeuRruePoqZkqIrzauzS2pjw91Yooyi+h+r2s3/TMhcO33doWaxM7MfsEnwYAmt0oJUXx74Zaeuc9MV9MIQEScICss+02SS0b7v+ATZCNotAA+F4OyjH7VYuiIyiknebHcFqRcWWBJZOYWq5nxQ5R9xi+exmL2AXrXTtVNpWbQi4kx94lyIQ3gh1moNdeFBPQNFhhfTz6GUrmfWByK9d3Y9EFu/ru7IWN/zbc2jofqi2j07B7p6yoWfb//Diy3PLPm3/pJA66ayujLJX/NEb/uh2qD7rd66lvjKeDTb0PJw8+lzQUDNQFyNcpuQgIoR/Q0IBMTatxwE7GWN6WH6jUQMQW0JBSbKVGcJGuh+u97Fqt8ysIQZnBz8cFPzLx/Aw7uVewaUFex0a6t15pLyIU5nlllbW+3TiNNp/xaQoePz+xEyxWfHZ983Dmr/4+ZtzcxHqHZOwO/+mV9u/4+bDlYoukNou24QNcIMuX2un0f0G8Wfbvpn0Tr+O7Tagnst2hjd8FeP/d9s3LfoLA/nLNTJ/RfqALmdvQO1cEnUr/s26mTO0hpG25hnUa8hCw3q9qJB7teoQxdE+2k/+wTqgvvP3Hrm05CzqOWbUUPqtyaVGYhW+vundQ4KXGcR5ozQrsa3pdoYpWNPqs0gMxZSbRZWBb9LtTlY7byUauvQKEham0f0v+ydaAvag3rQVrQD4q0BztsA4w61txGkPRCDd0MGuRf5UBlaiEphL0NVIPXA3gHjeuHcBTa+G8b0QP8CtFcdWQaraR88cwccK9TWnlutO+AYBR1p+z44lqqtWjjSN/eobyuBp/ugRd+9VZX3wXEb3FurSt9Qj21fQuD7IwTzNaZadsBe9Rcxf1maP/JrcP8u8O8eQLoN8GpY21SUYfUdFFst3HFvSo8+VfsdkHW7QQ9Wc+RMJ/1H/qfbBTz7AMHDaA0x1MdljA83ySvpn1ciNK0htgZofLfJTfhgSxwR1reCsMFawvtWPItYnImYoCrrfCsSfFdK4EDQ3ZES9CCw96cEAwj6FSnBCIKhTBMwMaWenEafbBqYhSfL7Mq9wdomYoNMjDfssr6K0P8Ab1452g0KZW5kc3RyZWFtCmVuZG9iagoyNzIgMCBvYmoKPDwKL0xlbmd0aCA2MDYyCi9MZW5ndGgxIDkwODgKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp4nJ1aC3RTx5meuVfv9716WZYfkoUxjmwLWwghhF+KbYxRjCKEK3uNYxu/IDgGjCGEeImXuA52aDZL4jiEzWZJmnAoTefKhFKSJuRBuz0pm+12Q063TdM3q5OEJunjbArI+8+VbAzZbU9XProz/zzu/O/5ZmSEEUIGeEgQamiI3bHj8ad+jRDWQGvOho2eioF1D3wV6GVAd24Z7NqBxA9+CB6SLXt2O4yHrSmgHwa6vW9H/+DG054XgP4vhJje/q5hOt4AQyNQKvq37+v7Tc5TexCShhHK+ulAb1eP0vuLQqBN0L9yABp0D0t+jFBeCdBLBgZ33ztWqOGBhvl49/ahLV3ftL76JLwvDv2vDHbduwPfh7+DUP5bQDvu6RrsLfpdjRboX1EedgwN775+N+pDyPl92r9jV++Ou8JL9UB/BP2H9vZ295mXbgIeXfdCv4wKRqX7wcCmGVpefOKBF0T68QtfRSz7ByaOpEgi9UouQuPRdMlcRH1MM5RqGctKWIaRoFs+tXWheoTm4CNDoCokP81cdSB8RNTjz5jHKGeITY9lr0iD6HtoGh1HJ9E30Cz6JnoZvYbeRO+ARa6gc+gN9A56F/0YfYB+hZLQ8nt0DReiw+gQOopeQDNoOxpD46gVbUL/hHajbeg99G20D9VJOYJKCDKuJ+FInDTtaSXIVZ1FZO54ZavYNtrq+A+CjWVZpQSXOP6TaNylhClZH43Xu1qdpYQt2ZrlIDWRuJPUtJYSSQmd6nQ574u/b7/Yaodx8ev2j1vtLieRuuOkYU+r2NHaCu+Tlmjb20qJrEQowA/B6o6H2tvtBMFr5CXCErGpZqFJUcJzjoCnlChLHKN0kbfgNQ7CFq5zOYhkaRNBkfhk72SXg1ZW2Z3OVvukSEXTFF1QlebOYDc44Y3qEse/i+JoShweIne3xx2Ota6Grm2OuKOnO/0KOk5LV4alHZOOtZMNXa5Jx6RLXM5FX05qYCTIRxtITS8lYI5OXKnyUpbTaXdcmgQ1wKR1wM2mDG9OcZi+xOW4lFnc5Yiv32h3EtwanwSB1rkmXY7JdZOuLjohPYUWpcRAzcAD3xwVgFb4WwSYpIWra1vnYknoVGMJCDE5QdXW1OOalBNHJL7Gfh56TCWzqAbXhEJ4/VkD2oLEJx28KU6f0birG7h3hexQYFcINF8TjSfAP2/fEkpgB4aCOLYQW2/O/FrmEgKtoBd4lIoujfDcHIIYQ+6/+HdX5u80+gx9hrfibzOl4t+bbCV7/xf+/vXP/0nCf+bvbWm59G+ll2XrZU/Ld8rPyD9V1Cn2KZ5T6pWtyq+pjPAXU72tLlPfr75fMyRmAaz5vst5+8Rd+jV/QPkKtJAHMuXc8RSSe+U8zWuIyYQ6g+rg0SPdBPEsR2UCRp41Cbmk5OMKQSb9yZoEy0AVCSxtltLmhFxWem1NAtN2L+fkCp2cs45xpJbgmdSAdNOfvlYHOQajztQU/iEugky6HBGJR1DpkphwHsJeOq01oPUSd4LVqtyziJUr3QKP3UhQSTieaAPLy61V2OcqWOpbsdJbYTGbZPLO7kE+uLk9FGt//ujviw42hxtCGw4Mz/xkJXAfnbvMflfqQWqUj0IooQQbCpwySewegVXCkuB/6JKgMSeJxiBYsFuQWZKCE0qLhuMFJRsIIMHOQVWGArC20cB7K3jOwLgKGKMpj/FWVDG+FWVA6pjoxxcvXrly8eLHP3cGIh5PZLXDsZqWASfzKA7jaOpU6kzqdOo4vguvn3plr9e795WpQy8PezzD56iPQX5mT0itSIPuQAnqawJWJ4mqgmpHKkkShQcTrYcwlwSVPplQMaCdGpVG6U4wKlplkJI+JaAuHbCvYkBbigBaXu71OTmXrwr7wRrmGVzw2+7DVQSj19n4EX5F4dWTr8Pa5aCl06AlDxpAiVK6tgTW1ngErSxJsjzE7BFyVKCt5RCtl4Rl+iThHZc4walPCuWwmJwHBS0ppLqSlMK6KEA0nICXBQJEm+4gWZzAOwMBIccM/TbQZDXOw96KlaLyfKIWl7oKZPKiKmjNY6hZzXnYbNKBapeW7wzOdG/7cmH8sXs6xyKu/rbm0eC+2Gu7O44NVe7bNvLk2tHnO55595kngrGBzd5oIP9U3qrm0mh7nf/RprbS+Fh06EixIv+5sbapzhV3g0/A7sz+GjStQibUnvYJgjxE5hXU4BmSCsKAqs0eorxENBWCAnyDrUgolFTLChkoXKmgVSUoXPQYhRKkN3BUejUC6XCAMBwxUG/xYSfnNbs4Fw2DFSv9Lh2WFzISbHv22Z+mTuIWmVRpW5GLI8+wRdd+eyZFcOQMLgocC3i7fRmrnAU+C9AelHDMW0XlESxgFd4j6FkwiUs0iR0ssQS7ycrsc9Xf+9N5ZHariL5MR3TnpQJv+lxHjOeRoDOWleFZnZ6HsqyM1GRjwS5f4F3iSFtOxSWw1h4ILLZR2jRGp9nJztsnbZjB4GPdQ4cPDla3rNlRxJxNmbKLI97Y40O16w883/b0e8ee8McO7h054Cpayzz43dRbJmt5z9GBbSeG1wxCPollYrMI+dDtsM8nXFRGNwhX6xF0MhCuTozOZXySKKm/rTQmyTKDUAVKN3JJUkbb8sxJoR4aVi6jQSoFV6viZl1ur26JNUDKeMGWRYWrdXP8S0hpzPMGoR0ss6KK8fvKsA/KeXnA4di0XGWM32TJOGeRDtNAp0lHVEOsqDbmCQ+sGfiHjfGv9PjyymvyS6NVhTXDz27pPL677p2pno595bFdocpIsLixw+9b1bM53IebK3ujtTaF77GByIG2cm/7WKQ8Hq6xKGzV0f7a8FjnypUdBwe6R/rbfeFgub10P+Mqb/IvN/mGqlp2tNMsHAZdvQK6KkBlaCtK6KmmLOANeR5hKSisBHKEAhTmERXmMiWJyyDYwSGKKwSVKSksBw25wDkF3ggasnOzeos0DzSBBIsezM4HSB5HjAGylCf2ACnhBFU63S2oh9FhsHeRnzoEqI5S81rylwEhC9cOPR7r+PrY+tjhc70jX1tzoHBnsHIw6pUEjq2NPdzj/9Fgt3/Ux4/fFdnFjnc/PRQMP/XJc6+mPn0x2lL1iNtfvvPsROOG8p6ZvpHd9dFTxw6AzGNzl3GC/SXkbivypuP0NKtDWokbovO0Xqxhmp6QGKgyO0SFWAg22DCWl/vndwjgnFtUH4uHQptaakPx+XKioa2tAb4sk6nQfNwzd1nSJ43BvlGJEnaqb5M2mZAyUNFoF3YOziZuF0gw2UGPWTTxJZDSCuFDpDQBUx3yNGYsVjnVkw50yVOlWUUVYqan68TPx/a/UTPuHWmOHer1f/dk23hgPPpvB8Z++uxdzNHnsOR0R1/dEW/w9tGXdvw6dbWh+tGO3r8hmKE8NgOPPPDoBVycKBczBPBopTzmUR5XeAh/iaZp4jQIcvCBEmDXB6WTZmwdBi7l3EsSrTWvqJzGSwmfyLZD2qbpoDydDvK4WczbS2ivlSfZN2duDy5j0yGUEU9mhljJx/OBtLR5qvFs+/DefH+49Gx5V7Onbu9Xt4z86I57Q1MtncOuYHPxmeCWtcW1o4mdE9dOHa+LdTQXr3YvMUZMVS27miKH+gPtzTO+qlhTkd/tMoRttS0710X/fntNP3jHNoiI5yUyZIf8MY4ScNxyJ2xUBfnKZEKPoaJQJ0+zLpte6xZYCWhjmWixHEuS5BgAubshrQtG0I3RIJggnZg8QjGoJoeGiVoDqingEgq9jZrSxBML6CTfBF1mCzS44PQREBQs6EgdIHqOaERLLykUsUBmG7OYOVeRSwycTKT4dOw2bMc+k7vOGz4caom9s+/Vb73Oy+qebBt/4TeR6sp+f99UrBDrjhNXUaM/f3Xx077mD354/dRQYMPxmbrKgO8Xmtu8tSD9NFjeLX0eWSAjbEnjhQRHpc/WJBNyKr1DkyTYI24QILXVmiRMhWAxJInVIOSCnBqbuGUIVgsIYQqQXE6QixtBNko3OKhURM4TCcjm5byc/KbcX+SS+29sD/LpD2XV080dR/p9jXuOxRoO18hM5b6tpT0TfcPbhqXPp6ZO+Bsax18ZGXt7qilU2ZfyFL54aubETurFdB84CJbMpZEmmpBXQ6RRITRqsFueKIEe+M2nkcbbOGqOdKSZb4q0mz3RciPOmFh06kxv96MrdhZHPfufeHxv5dbi7sZTLX2Jg034j6NvTTTeXvG4q+ibT86c8bqmq0MNExdo1o0DZ1dAyyY4L9yNElqqZZ4ymKXJMJinoTsyJk6RR7MtScwGIRt8S1EhaPQiqtSCb2k91OGEbEA/gpSnuIgjetB1lpbGoT4g5l/0BUmKQOsZF0onWz8nyhZv3PtktGVvUPHRmwal/0j01Z/9fuSend2+Xm/3BP7j/rcmmoLef8aDf2ob9G/A5mvPndyJ3/UUngKJqK7fFKOmAG1GCSsVxqDMCONQJk/naK1SCJgcSRpb5ALc5JOJXBFj5lLIQ31GlcvxCY3RJGYKgzXtL1pxB8nhv7B3yJ2in8ybwu9Mb6TNYyfifccGVqqvjxme3h/asSrSSDoHXpoI/xK/1jvQlhGk/oAw0FB86EhRwRFPVePEm+/tmxgDn/GDeS5IX0U2FEeJLGoXBiQgRq9gU4ENKojBIygoZM32kKxL1PWtFLVWJKxZVBKrGXBclpVWs6hQdupYBoqZweUVHAQ1RW/+hdwGDLsKcnEay/knCqOjbb4uV6lvJcMcuHDhI9ZL1APN450+k45kndz+8rWLrBdAJoqm6iQa0LYf1aM70b+ghJGqeYM0mbDQik2eJF6PEAR0H/IItwHjTo+wjmo+6iG6S0ID7ONFFQRRnLMKvKgBkjgUcg+thWmu4pOzVTlhhVsog2PLRmhZBYAuwarUYBkh3MDxNSqLc8ltbm+wts4IOVzIqRLxNynjhCwrtV4oCBPK0CoaR7dxCVZSR2tOXpAXQbmOS6hVS2iLjZ/V5TSERfRkBSgrgqeVNzCUxeo0uxYQO6AmiL8gplvuzYhqqRsXFMmM8xQ4QrSpvshb5/ZGagcfiRSH8/DWszZHsH8q4qx3WbPXts+eObf+4e/sbzs6VH3h0L79j7e3HIquuiPQ19TY19PU1HemetCtsN1ZFezKUxRNtrVMtHt0qm/kfskXO9BSptWZil3u8pGDTQc7/I5Qd29duDMULNYHmcvdWwe2dAz0gS9Ng6k+EaO8Pp1JidqbzqEGNp1DzWJ0m8QcSkwGQQOaVgPkpvBfA5sCkYMm5QbullxJNwAuDZ656Q8V1UcHjj/2UVMstKWGJsQ3gu3vnL9+iImP9lVXXQ/RfLMf0uHT0pOAePRoDUpoqF9rqV8r4bhKT8gGkREKceA7q5EhML3emhQ4YES/cGKlwXcD7hiBnf3R6uqNG6uro/YPpa5gOBwMNq27amOvXOMRA+f+NnwcVuUgAzeihIIuqPcIEpV4TDbr0ilYLh48Z81yXgf5zy4mY0FFzw9muwgY9GnAANGDQQlsZnOAxdMusZiljlKT21rn+di5fn/cf+drscrqTZuqK2OpESJTb45LCq9+EJno9Rtk38qwitJWkuSClTRoecZKCq+YtkQLadPn+PQup6PRLKX7OKsKZAzixU4ldmIwxGUZHsFM6gTeP4dSqaelz1/bh99J9V0/hU+fnhNXAtz537CSDrCfaANBpk77gV5chQWFG0SESVULnrwa+60yecHS6Q+dvEKvy/c0H+jDjOS5qxG3S0JMeCbDv8wHucCJdmbO95zN601gkEB0NqL1Cnngb5YKTArEdZywDsOJ2A12FMEGwtkM9DJE4MD3XBTGMaLLkWwOPBBClKgChOeIFsyB82gikKgCGQVYvWkUepNfyhfK6TcMyurpjqHxgsZjnc888XG4uWPkw3CkY4S9MlnX0dHS3Dfvq6PXQ5kCzccOSGVCkRuxsyATDaBF0SNKc0v4mDIiaDgxiLCBWk1yM9OLwwj4rPvHhThirzwU6rg1imCPkxiAJyPYry5zVrLOI4pc9QJ2N9lEbqhuwbPFW59sivD0UurPubCtfWEruyWXidvY+KmOjhcf3LDhwRc7Ok6NN382es/QgQNDQ/encUXjxFujoxcmGgBRjM6cOTNz9MwZyuN0aljiBh4pfutFN6DbDdVR/IYW8JsFjG+tEBVouRm/WTIKvIHfuMX4Dc+r0zivzhsIzmrDixEcdYFjsY5H0xAudLBS5u/PALjUsHT/3b7mxgkK4A41rfadSF1gphZhOOoHCOTh5nOoKAlRZhKplp5G+PSJKe0HgpH6cZp3JGgp5gTnxdytxs+gubTlfU9EGt3F9lJH8EEPe2W2e6vpokLRPnz9aOa2hMaXB/XN32EpkgkTXd2uSN9dcZfodQHJS5+FlpnTt1d5XPrShp6E1Cb7klJ61lnGC9asxRdacGbGXNYy2genAevN56AiegxaefMpyLpwCCofqnuwOdpcWNlcVN6/YcWFkwMnqgZ9g8Hw2oLV4WXe/pjX2/1Yx8Dbw0/4grf78j2F+Qa+on5z9fiJJs8jRZ4aT/5tzlwdv7y+tz60I1ZBfzhCxXOXAf8glIV2ozQkVauSmXTopciHoIqEVLyokrL0khCGYGLzEOslQamnt1wJpQh/lHLotYqXW1ZAQkRpEFhwMtYjxgVLsR1Db7bgwAiIlWZ3XRobGel9opMzLUJ2Pq74WM4FjObQYbvfWly8NRjfF3ZRcIT51JWXU06iUb2os67sHI/iD6gUU2Cz99krkD1aFqNrGZsOBKLyzmcPFnhmDYKSOr51MaymOUTJpu8wMqBaNg+qFxI0sHgDSS+d+qjpzlDP6g/PG2WhJyGV4L3M3usnRvtD6xjhGn+kueMdyhscp6VvA29OPIQSTjGHOCBfI+pQapPXO5+lMXCG4QQJfJhNYlqmt3BVP/hd+hbOUaYjOecFmeNzojx/7vXPP1lNm6XECu3284Je8bmUqM+fq/ryZxuhQ01khlm5TGl0zyro89zr73/ydbFdbZjVqPXQrhWfOvokdsNslt0KpE18ZtPnuareT18XpzgMs7mOHGjPE5/59JmAl9PfRVwyHQcaUwQS0ExruXAECSRgiUW92gAYOwHvpkR2gGQFUI1BptTos+w5+XKFVmfLzs0ru+WDa4wypVqjt9JBjv9r1PwFpAmDrSxOGmnICVaUUqN5jXmYRr9/cQ072TJMLShnneVX9hkseoUun3/wvXHeaVDobPp978N2fnnEkAtULrcr9Sl75fofGh9Z1/TIWkZ9o3aNx+82Ho5EHmlMlaZ/HZWfvi6lz7njc2/JvenfSxd9NjMf0d9Abv7gZ29t+fMfxos6F9OSbBSF70ymXg7fQlou6o/BNwzzxv7SuyVPoZ6/jptb5rej5v/XPA/aJjmIptkE8HoQxSU6FGMOIb9kGci2B00zWWg/kz13XFIKdTealr2KpiX3wbdHHD9N38Fchfm7UDnzS1Qs2YWmaJv0KuiBWmEz2oik4lIM0AzslfSnuKHM8nLUBlsOliihbsL3ZeoYLcdNmTqDdHhNps6CjFcydQmqQS9m6lL0d6gkU5ch+hv9RjSERtAutAX25Y2oC92DhgHb7ILWUqB70SDairqB2g5abwF6F/RvBfoe5AC+ywCd+uAbhDkboeV/H7FcHDEAbbthHdqzZ6GvDE6LtHcQ1r4bZtMxfdC6XVy3Amo+8RsQ37KYW8cCv44Mx44vcOxAUWjphznbYeyumziuBT8Pwf4d/Kt0kJ63QZx587v/Wt42gqS7YNRWeMcA1B3QmvkvgusD9H8evvg5i+fGCT6M1hNFJC5g/JVWoYH+Uk4MreuJKQqVB1pziczdHkeEddQT1l1HNI76BPttxi0SaiA0d2cIFRDqL2UIJRCqVRlC4ag/h5RYjjK0HDoVZRlCBoR8SYaQAiGbyhASIKTZGUJL130lQ+iA0FrTBJwrMqxZoVX/Qwb23YY9QFqAtI4ukGYgLdEF0gSkedUCaQTStHyB5IE0Fi2QHJB8/gJpAJKzLJBZVDz9gTm00GKDAVmvL5DZQNraFkg7kNnmebKVmNzUGHjTDnMhQv8DlX0TQA0KZW5kc3RyZWFtCmVuZG9iagoyNzMgMCBvYmoKPDwKL1R5cGUgL0VuY29kaW5nCi9EaWZmZXJlbmNlcyBbMSAvZzEwMDcgL2cxMDA0IC9nMyAvZzI4MiAvZzI1OCAvZzQ1NSAvZzQwMF0KPj4KZW5kb2JqCjI3NCAwIG9iago8PAovTGVuZ3RoIDE5NgovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCnicMzZXMFAwUdA1MVUwNlYwVEgx5DLQMzAECgIhjJGcy1WoYGRpABYEqjUDskyA2NAALOfkyaXv6atQUlSayqUfDlTIpe+hYGLGpe8U4KxgyKXvEg00NJZL303f2dkNyA2wsdH3VtAFyjjn55Tm5hUDtdjZcXm6KKgt9GVpMpVR+PL1usujHw6/HP9U/f/3v3374Ru27Rs+HL5RYd72IZ9/e/X9/wEVmc4RBl5Wk0O2ifHodFowNHBwuXoqBHIBAFhsPbsNCmVuZHN0cmVhbQplbmRvYmoKMjc1IDAgb2JqCjw8Ci9MZW5ndGggMTk4Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeJwzMVYwUDBS0DUxUTAxVDA0V0gx5DLQMzAEigIhjJGcy1WoYGxpABZU0DUzBLKMgNjQ3AAs6eTJpe/pq1BSVJrKpR8OVMml76FgZsil7xTgrACkXKKBpsZy6bvpOzu7AbkBNjb63gq6QBnn/JzS3LxioBY7Oy5PFwU7Nt3qk6uW/q97Wb/9V/zb6+vrvr7e/rfq7f+43fXX192t37Y//u366+uOX/tbB4T5v+KX/l/66+uvr+ujAxgZBLhcPRUCuQAB40hEDQplbmRzdHJlYW0KZW5kb2JqCjI3NiAwIG9iago8PAovTGVuZ3RoIDIwMQovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCnicMzFTMFAwUdA1MVUwtlQwVEgx5DLQMzAECgIhjJGcy1WoYGxqABYEqjUDskyA2NAALOfkyaXv6atQUlSayqUfDlTIpe+hYGLGpe8U4KxgyKXvEg00NJZL303f2dkNyA2wsdH3VtAFyjjn55Tm5hUDtdjZcXm6KKgtaGVMcfnh+NBG/V4nc80Z4UO8b/TF//7f/39Cok1rIGvr2owFwo4l4usf7f8bNTk0dt2hG4mFxtGx6yRiWyO5HzMIMHK5eioEcgEA25s8pg0KZW5kc3RyZWFtCmVuZG9iagoyNzcgMCBvYmoKPDwKL0xlbmd0aCAyMDEKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp4nDM1UDBQMFHQNTNRMDFWMFRIMeQy0DMwVAAJwxnJuVyFCsaWBmBBoFpTIMsEiA0NwHJOnlz6nr4KJUWlqVz64UCFXPoeCmamXPpOAc4Khlz6LtFAQ2O59N30nZ3dgNwAGxt9bwVdoIxzfk5pbl4xUIudHZeni4Lagsv/weCf4/ODzA/ZL7/88ktWhPsQv+fvS/zr98bH////Wv6/2ur3QCVv83bHbbuendh65Gxu2W7utt3cE+oVHFcwNHBwuXoqBHIBANWpSE8NCmVuZHN0cmVhbQplbmRvYmoKMjc4IDAgb2JqCjw8Ci9MZW5ndGggODMKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp4nDMyUjAAQ0MgTDHkMtAzMISIwBjJuVyFCoYGEFW6EAaIBIo7eXLpe/oqlBSVpnLphysYcul7gAinAGcQ5RINNC6Wy9NFgYHL1VMhkAsAVzUU3w0KZW5kc3RyZWFtCmVuZG9iagoyNzkgMCBvYmoKPDwKL0xlbmd0aCAyMDcKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp4nDOxUDBQMFbQNTNUMDFVMFRIMeQy0DMwBAoCIYyRnMtVqGBiZAAWBKoFsYyB2NAALOfkyaXv6atQUlSayqUfDlTIpe+hYAYknQKcFQy59F2igYbGcum76Ts7uwG5ATY2+t4KukAZ5/yc0ty8YqAWOzsuTxcFtQUHF+grTH3IvnzBl68XHfod2X7Vqv36Mvt/+Ovf3y/9////3/879UDqydW66UDq7++l//8u3X/r27T/ibptQje+bdsmdk0ikvUlgwAjl6unQiAXAL/UUAQNCmVuZHN0cmVhbQplbmRvYmoKMjgwIDAgb2JqCjw8Ci9MZW5ndGggMjE1Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeJwzsVAwUDBV0DUzVDAxUjBUSDHkMtAzMAQKAiGMkZzLVahgbG4AFgSqNQKyTIHY0AAs5+TJpe/pq1BSVJrKpR8OVMil76FgZsSl7xTgrGDIpe8SDTQ0lkvfTd/Z2Q3IDbCx0fdW0AXKOOfnlObmFQO12NlxebooqC1oefBJtcLxIXvLl/8uD+U57Dn3tvyt2F////q/vdlL1wkdipSs1ctmP2Fo8PuEfpxzQkU+//b95f///1+34JpUwDUeoa6Vpt7ZPDoSOq02DA4sXK6eCoFcABVPRFENCmVuZHN0cmVhbQplbmRvYmoKMjgxIDAgb2JqCjw8Ci9UeXBlIC9Gb250RGVzY3JpcHRvcgovRm9udE5hbWUgL1hST1pXVytUVDYwbzAwCi9Gb250QkJveCBbMCAtMTc3IDcyNiA2NzldCi9GbGFncyA0Ci9Bc2NlbnQgNjc5Ci9DYXBIZWlnaHQgNjc5Ci9EZXNjZW50IC0xNzcKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDEwOAovQ2hhclNldCAoL2cxOC9nMjU4L2cyODYvZzMvZzM0Ni9nMzczL2czNzQvZzM4MS9nMzkzL2czOTYvZzQvZzQwMC9nNDEwL2c0MzcvZzQ1NS9nODcpCi9Gb250RmlsZTMgMzE5IDAgUgo+PgplbmRvYmoKMjgyIDAgb2JqCjw8Ci9UeXBlIC9FbmNvZGluZwovQmFzZUVuY29kaW5nIC9XaW5BbnNpRW5jb2RpbmcKL0RpZmZlcmVuY2VzIFsxIC9nMTggL2c0MzcgL2c0MDAgL2c0MTAgL2czODEgL2czNzMgL2cyODYgL2czOTYgL2c4NwovZzM0NiAvZzM3NCAvZzMgL2czOTMgL2cyNTggL2c0NTUgL2c0XQo+PgplbmRvYmoKMjgzIDAgb2JqCjw8Ci9UeXBlIC9Gb250RGVzY3JpcHRvcgovRm9udE5hbWUgL1NDRFZWTStUVDYxbzAwCi9Gb250QkJveCBbMCAtMTc3IDc3MCA2OTFdCi9GbGFncyA0Ci9Bc2NlbnQgNjkxCi9DYXBIZWlnaHQgNjkxCi9EZXNjZW50IC0xNzcKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDExNQovQ2hhclNldCAoL2cxOC9nMjQvZzI1OC9nMjcxL2cyNzIvZzI4Mi9nMjg2L2cyOTYvZzMvZzMzNi9nMzQ2L2czNDkvZzM2NC9nMzY3L2czNzMvZzM3NC9nMzgxL2czOTMvZzM5NS9nMzk2L2c0L2c0MDAvZzQxMC9nNDM3L2c0NC9nNDQ4L2c0NDkvZzQ1NC9nNDU1L2c0Ny9nNjgvZzY5L2c4Ny9nOTAvZzk0KQovRm9udEZpbGUzIDMyMCAwIFIKPj4KZW5kb2JqCjI4NCAwIG9iago8PAovVHlwZSAvRW5jb2RpbmcKL0Jhc2VFbmNvZGluZyAvV2luQW5zaUVuY29kaW5nCi9EaWZmZXJlbmNlcyBbMSAvZzY5IC9nMjg2IC9nNDQ5IC9nMjcyIC9nMzY3IC9nMzQ5IC9nMzc0IC9nNDEwIC9nMjU4Ci9nMzk1IC9nNDM3IC9nMzk2IC9nMjgyIC9nMyAvZzkwIC9nNDAwIC9nMzkzIC9nMzgxIC9nODcKL2c0NDggL2cyNCAvZzE4IC9nMzQ2IC9nMzY0IC9nMjk2IC9nNCAvZzI3MSAvZzQ1NSAvZzMzNgovZzM3MyAvZzk0IC9nNDcgL2c2OCAvZzQ0IC9nNDU0XQo+PgplbmRvYmoKMjg1IDAgb2JqCjw8Ci9MZW5ndGggMTU0NjcKL0xlbmd0aDEgMTkzMwovTGVuZ3RoMiAxNDI3NQovTGVuZ3RoMyAwCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeNqN9gNUJWz3wA1Xk23jVJNt25xck3Wybdu2m2xPU5Nt2zYmc95uPM99P//vW+t9V2vV+W3v69r7OpERKyjTCRnbGgLFbW2c6JjoGbkBInLCGkyMAEZGFnpGRmZYMjIVcycr4H/ksGRqQAdHc1sb7n9ZiDgADZw+ZKIGTh+GcrY2AGlnKwATC4CJnZuJg5uREcDMyMj1H0NbB26AqIGLuTFAjh4gbWsDdIQlE7G1c3cwNzVz+sjzn48ASiMqABMXFwftn+4AIWugg7mRgQ1AzsDJDGj9kdHIwAqgbGtkDnRy/58QlLxmTk523AwMrq6u9AbWjvS2Dqb8VLQAV3MnM4AS0BHo4AI0BvzRMkDewBr4d2v0sGQAFTNzx78UyrYmTq4GDkDAh8DK3Aho4/jh4mxjDHQAfGQHKEvJAr7YAW3+Mpb9y4AW8PfhAJjomf4b7m/vPwKZ2/zpbGBkZGttZ2Djbm5jCjAxtwICvojL0ju5OdECDGyM/zA0sHK0/fA3cDEwtzIw/DD4s3QDgLiQIsDgo8O/+3M0cjC3c3KkdzS3+qNHhj/CfByzmI2xiK21NdDGyRH2j/pEzR2ARh/n7s7w9+Va2ti62nj+h0zMbYxN/mjD2NmOQdXG3N4ZKCX6t82HCPYfmSnQCcDGyMjIwc4JANoDgG5GZgx/JFBxtwP+qWT6Q/zRg7enna0dwOSjDaC3uQnw4w+sp6OBCxDg5OAM9Pb8t+J/CZaJCWBsbuQEMASamtvA/hP9Qww0+Ys/7t/B3A2gxfgxfkwAxj9+/vtJ52PCjG1trNz/Mf/zihmk1TXEFWRp/m75v0phYVs3gCcdGzuAjpmNEcDExM4K4Pj44P2/cRQMzP+u41++UjYmtgCuv8r9OKf/lOzy9wxQ/r0gVID/jSVv+zG5QADlP4OuzcjGaPTxi+n/87j/6fL/b8r/iPL/Ouj/tyJxZyurP/WUfxn8/+gNrM2t3P+2+JhcZ6ePLZCz/dgFm/9rqg78a3WFba2M/69OysngYxeEbEyt/nuM5o7i5m5AYwVzJyOzv8blL7nqH4tmZW4DVLB1NP/jaQHQMTEy/h/dx3YZWX48H44fM/mnCvixPP+bUszGyNb4jy1j/rhhAwcHA3fYj0v+IDaAJ9PHOhoD3f6cYgADvY2t04cL4KM5b4CJrQPsHzfKzgZgEPpD9BexAxiE/yEOAIPIP8QJYBD9h7gADGL/JQ5GAIP4P/Sh+/Jf4vzQKfxDzAAGpX/oI7vqP/SRT/2/xPVBBv/QR3bDf+gjg9F/6Y9zYzD+FzIBGID/IDPLB9oYGzia/cvkowyT/yLbh4WJucs/Pmx/qG2dHf7l8GFi+i9kBTD8O9xHH+b/wo9irf7Bj21ksPkXfpRn+19k/Wjl4xviH/64AruPvbD9V0NMH9n+VQvTRzbHf2r9g4AuwH8ysH2YO348H/84fMR0+kf9kd/JzAH4r3Y/CnRytf2Xw0cDLv/Cjxpd/3WgHwHc/8T/GUUjZweHjwf5z8fi47z/w3++/kCgG9AIdnnB1ognyKI+qP2xVgjPlW5/gm+WbF89jYrOc9nhp/MzIlQyVU1WwKbDvVDycA/y2q4Y5Z3gCtGb52lrI1Toj0TFthevV714pen9NtilKcyByW+nQg39BDD4dCqCB15v9l5q/pafWkE7pcny7J05ERUK0B5d+yTcGvrLV8dCFvYVD2rYZeBey2foolWjtP1L5sjyDbPnsUkgnegIoKlRr9yQ5u7uZ1FzJ38TScfTwHqfRbMUeWpuMcc8zXusV6owO3bhfMbRxCb4dIc6Nk3uKXyUIo216FlaHLXJt5jDER47tBLUlzAvo4ZD4qOA7RBURseX6Sfbifa5K9fVKNPBSs1oUh5ATkHUAO0ZTFYqYZJYTTpcqpeNb+779EZKoJygAWpM87ObsOvsQrWT2ishFpubKfpwwprwng9tpyPbh/31CZKhwmBaQhYi2QRkg3RF/gvmzLhyvreY0rBjdOM3T63+3/n0xQ90Fp8sQr2Knay1N7j74Nw4sRQmXgwVGo8SL8/fijrjzIa1mmrR7zACp5D1OrjCdqecmN9ZEps5roNopZixhBHPK7I5h6TTNhnn0a0d8VXB1KcUn401zojxp/sFEGffsjvOywVWFS9Qz1jPgUqRktFwOrMR9Ol2vnpT4/gCWf57nBc53LbH3C2quM7fRBM1tazTdRmGDJpm1w58F1hToZusblmHEuYx951keX3IidQzgitdZQ24TFEVoLvtzbYV/TIm8jC7LFyqp6mCL3Uc6+yVSN6magaDSV/jgBddBC3JT28QmjK+CpJX8Q7imbwPYtIF9S8ZPHhb0/TyPqdlfmqztfbQstI0etPQFrONO7BO719dZJYLiH4CtZ2h02WvFO1jeNUSpIQWgnFPnrgM2qH0NijIT8RFW7gkSNXaip4EXSwjhp2+04vhe3lUdGoWmGfy5MjXwX+RIWLgfMYhuYKeRi6TFFrh6FgQ4CepyCnMxnI6Sxl25aGe3g+zYoPrhBMXRxBW33tmClYmJH7vB/vGTN10hgc5N66PF8XJrRH3w/+XlWoFLtT3IKmCWwEt1wow3J0xIxhyzUP9EpzpstyOjVp4R2NJoHhxKgXmd2rHgyOEmSl/FWOuOWGDrW+RyAHBK1oxYwbxn1NM65naXk2QoLSPkqEYj2E4zgkNlCZ1USgzXmWxLFBIR4mtXTeY20jbbEYdtj97Rf6eVkE9l4VKStSZ8qzQKNH//czaTy+R7IrWXLm36qXwyCx8YrrW6HpjaNklXpsDB+cvX1liYsETYyxAGmdFQsN+VkHQYwp2EOv5dIdC/bRxcZ6KMw2HRqusuIfIXNxW8FJJTlFqU4WjrV+voxgZFMh9hLiz3trDboVjw2jIFWKt0351TXvKsFJapP31MzuuFo2/qlgE6cD3KLn8L2eUCJP19KKv27I1O+XY2nfU24KPHiwUJcXkU8nsxUFXzKlrkBGdZBA0lMm3GZZ++vXYopvvDPVDYMmWlKjDCTGxlmnIdjWITvr3usfCvc+h2DvzddqS/j4nX9H07stGExrfMaBf0IzIupB8KNGJV2ClXRYdEZG80wa57BdcD6a2PHfz2ENQqyccJxJR5ILSYR7JFel67QIOKcLJI9LlyOs5GlFaUVKcNDdfwLUdCHy92JLlSr6zkTQEUHfUIHUSnK2c8NZGTSSLxkQ10LbJ3phY0CTFn410/OwcBb0/zR3OJnFj7HkwI/1UsemsJbjivX20TLIQCDtsLBUvRg1DC7DoPNA56Heh73Zya4XGKIO5TLAU6/5qVVBT7G0cSk8HlIY7bBi8E4lLhvIt5iMqk9nFbBJFsLCpkSJxR9cIxYNfE232eiRvzw/rvbPkPzLPbu9ZPkMGQUdzq406NWx17hHAKw6ZrksYAtCmX6q1OmZ7dCW/7gsZIfi2IUgQzsIXDPAaWZUNXE42E3ooi0i2GH+qk40uZQfPThlz6u8i0gZb05nSyBuyMp37NPLTMkHnK9UCuMPyHQQnxeUP/s0tDsncvDZ90L4YqHZfir5mKhQH2B87zTMxDbkSwws1YEUFnzR9MkUOU2EjVenBEcQiRdq2WXIhvBfMgDYpfSU7YmjxlcRP/iKvWm5j427VNj0i9qRNpCrmP+iRb80f1RcZrs33qQMFZPRXhnPy+5CX3/B+ex+b8kx0xtcjVSYKfvsZxb8gWeNX2X368nRZtmptwzXGlP5MF/qwn/eCUaaFnAAGWnnej9ALf+hkwQEHzdIvt+6+41EcdEC7LaB51SJ48KyEriBszn+zN3VadHm26hKmJj6vLWRmWWeb1lwNsYWcxQlOBAmWDn55SQ3ZOUAQLi+Fq+hSwsUK5tH2O5x18cHaHwlgw0lFIJp9smmoM7icA/Wb93JcldJ0/27paYPym/4X5tTI1rdv2KsehiwQjLtwo3d02CpqtZ7tNTCPepKXcZG6oVodQDQr4cGdHYTUGIJX1ij562DAXtdzGGYrP38nHzC3hEUxcYoug4LRfXrzvAw7N4b0ThpaHcAIvbkehseh/RKM6nTFVr2GwxKdxEcU0zvRjrP0AxyrFKlnwUtLKWO7jp/NXyoaLag826HlDt4N2azazJ1411JtVHmomiNUCu5RxWzIQCXxDn3d9nTY/yEohrIaXt3YUVXqke9S53k2HVnOaxYiI95Y+lH7a7kSYoWEux9SC6sxJfKmfOwu/ndPEkyrJ+0IgI7lUDWnGmz6I+jlldAlH9/ko8MdQG1P1/eeet/a7Y4S+FCJ/4tPe2CklvjpPa9XuDnHkNNvqnVaA2EhXa6s9mdjVBXqUskOqjmsXcxWWiTVoMNlGXyez946000GXM9ibAYUL4+vMW2N7ix70b5JNq1Cl91EqddVtWW7EucPjqZbQn5zuDDIsOY6IEC3M6ghK1t+pgBfsK3WDPUoW79GS1g8tGODVpZszloVP6v9CK1RGOjXTv25lsjG1m2bRQaAfNdzo/a5Q6tAqzvqLTjNRJUHh/U9Mro+B0cR0qL1JuE5qCE+AtK0LZTINHXTdmMNgZiMQBUXvavdLLyorG2Nci4bwHx31LqY29BZF1hQQgvYbtxK//kFW2sqLGFCT1sgRt1plHcomIGnNRq+ieRACb/Ker2nOjeTqvq+DD1TLEbbYUidCb57djrBNqloCg3EfXchfJlKeCziSrtDcMXU/zhqUlrAGiBmb7+cFHTLyaq7MD2yg9Q5LZrbjG/wysUBv/vte9eUZ9VwSSZqhSZxo54+ncOK1XIs9WWbPWhAJnbOHv7yj6WIfCd4cFkRUNMZWG4bQ2mYsGfZH332sbhJgw6HFmy6fVyfyuWV1BqkkQ6rOIAYW7/ibOrJzrYna9G+DiQ7Dzkt+KYQroKHYbEOfI/c5bUnUXcS1ubJFyp9hNB5LSyEIKy/wzPBHnZ1d/eSRM/3PAlR9cHkteocM3iXuyaASIMH6fBDuXBcXWxd2kLSm27ve5mY5xefiOxLjXBJUAwdtkDKfUfBBUt4rs5mxyDLMfL7RPpt0KcpDi41YvTLAQTCJyDYTHh8KIXBsjJTxq9JYCjgoEcczhnBUdecBPv4JNi90TWONqkp0AdG5KoowWdHaSBBv50W782CJJBmeahSxjIaQZENKzxrRCqw3GL0VSzk2lCF6gKpBimPJDqkgb/J9Xjd5aVh2+szFj3rSSK14KyjwCqs+WPYpB1Io2H/jrYDTDQXolBF75Ym75MLTfkIZI2syF5b8gRNKcEqJ1gsegr+k3skvZvIzPJALnlAp2ppsveyttQ+bpgDUfbI8wiWtCkefHbXNvfBqqgANm7ZCCABijLzFy5KN33KGQFbtIYSvD7D6vPPUk8oLv1qzi0MpNjInb4VcVRRctmAMS+9+Xf64cq8BBeDky3l/VQeDlWyMUueT7uy8MLC+hdOlt+8YcR69pGa/LTDJJUQBsZJxNNPzjWQa0O91twnL5199hVRzCosO11Y1aBmv+WBYhyjyqj/mMjmvC5N8u1hQYsBfUGZ//qquxRPdy6/TOmdRuANN59IfxOvbl6BYfBtJgiPD9Q1sEQAvwLXZyxL8xNrJeDioulSHnmc341nA3EYtsQnLMuIIU/yaLKChjBmjEzY+riZjmMKHjNHOYP58i2E+rpfLGnQ1p6QpzNsvm2S4QAl5gf7iVYpvCzywgWy7fduvBYV+F9r0GX54uFJ9fx87cjXS5xXzRGf43JyjfcjyUkZiaZtH5OcnLUaZxXHx17EVAeJ8bH7R7WJNuIc0VzFft88VtYsn7H/qFBfjIYLQVPkhEE4b+CFJ3OzIvfHK4FduK1CvvARNtvh2xJvLNgkYdZu1aHd852tE3QAUpYiWokfUvdHfOV4XY5eWdL/BldnpyxA9t3cazTyyckLRAv6AdOQ9wmPQ47vKWuGA8txeMqmCTdgCrl5utyVmXUDeTG4y5jB8ELUR4uq5gnKlLUkn+XobV2CHITBTj6whwwpmWCZp6rdKfEAATSVGzQK2+7oBP4E/anH21UuAwOFAcQTpmiy0q+Qkd6wLHXXglhzN0aQN/LbAULA/buH+4LVHNXvN5J6wOrVnUw+2uRuYNe6qrXtTPoF9DLzNxAjsFRvKr/s3UOPxC1uHF6UuofLu9Ug8ScimDzbnqv+QOSynL0jCVkk9xGVFY5fvGKrlzvvXfbh6j4ijQVP1l9xbvgOgbv0xmTP8AeM/L+LeTbROmNbWj7vXetOgOXx037NoicQf1lL+gaakUsGmiTRi/UD3aKDlhzkAlOVfEK5spwR6SQdL6oiTblq3LRDe/d7z0tE+un6NDiNGSd9KDrxcEmjQPxvVm8Imv6x4dv8tEtjkbGFfJ77U0KJvo7aQr9vA/2apEKNCdj5ZQ2XM8hAe7FWfiSwTiXZcpiAdz+ZJcHPXsui6lXpkbO3DAryDZC6U8ks1Iwyd3v+x31vawMtVN6zn6qlj+VMSWY+sz1zXut1mFaIODKLNHHQymTnIs3nCEBPtE1MUuUdJIexbsA/I64xkYL22P6oSGltwcKQItIwylZ4WPIJb2ECFB5DG/wK2NMt6md9wxhmJ5hNorIg+FK8YoAB6DNA0LV1f4vWzauYIedC20wNv4M+HKwgK+jk5XXdKeWzFEia+LT6biFYqeCFb3mP6ctaKP5+FuLoTa3x1rskU2xRkn5jZKfj65POydsluBvXncbSXGjRus+cHRpAlgzKxSE/cfXZwydOt6c7AozfWrZXVn6X68E9/LShGyfkDBoEYLBIBTlJpPpKJUovML4AssDVnl1jwqp0z1x+GTOt0do6hgDtSkqIpKfkgQetOeZMZb+95Ql4RrtHvINmMdtVPtvMPFTA2EIRHelPcIOk4oSePeuDTiRbSO3Zj1PU4Z2z7RszmYr0WTDJ5LPP+tmCLt1XUSlKrLnaMS8jijc8Y9T9cEK5z1uggT0Yh02ffUQ0JXncisAiiRk2CBJcJh171/NJgeMxIZl0lDBWiea7kep2BYGKyjYoZQ4VUfOrmIyu8SpZYxfJr3flSHqZ/vJcci8O+1DXeYk3nKXM55zPW2rh0/L5HUvvVtYz7PbM2lIhvlupUT/WQMY7z76RhAkasFD1webBgcpzHElzNBCBz20zcZTtL8g0elCL8WBvPo2MY6Po25I5EqINKwmQk2FiuXdjhZVrqKfKqS3XeouUjT8RjY9mm3YelZmQ0w5pLy1c3mzxajP0nfmtNmoUYFQJsCfYTl70bkvovW/45b0uWF8lEtzXtZ3JWxFTzi5np1wqvcyJzrfn6NCFgj7sKdyYUFGcubyyRkxWdItJq/lOaHF1WhfxgIWdOcQhOoARRwPPxs94Gt10Zy4C1+QD08bSjyvjLTjUi09IMxtmEiBnoZIWRxqGB38Iq0lQ+m6Z72Fp7UmVqAvxCn4/2s3kq2W/F6hBOzYFQYn6jKAyIlF2iprvzyjvKMt2twwycRwvS3TjHEEXA8q+YKrn8gwGK3tgWyRW832gwEeKqlGGmEXjesL1JyociKziwz6q50N3mtMEMIke795oQJsOukQoVyitmwKERQ5pGM1rvX53HfitzO62zhEDTZdThintxZ3alCHpsq90haPyRBkAz2uOrmUxlGTU96buIlMEgzO0WuWmoTFACiZlG8wRCRfTdb+GMr8NVypttMM9TKNM2BnYBkkJSD2yMyjZBCc5G3LUIU+tWd3RybK8Oe9RbpS9dD/b0Hu3eBxNU1ps5r3cBfwaa52HdmBoqejGyjSF6l5zJ9jdkCmkxYjrsUVnU5ZEIJXJRcLSIodfrMQ+uDXqh8/DgfjFw5tp3EqEDN5bv7kzILRMcUyDzyno7q6ofOo8gnKZNKnh8Z5jfbzM4rZ4G24uQxxd5egcOZVgHNmwzOeALVKnIXBj1R6YPKbmq27svr7KJo0U1zB9ZLl2yng6/Qin/KPNTHldpnUvmuo7BoQfod/iczlueHKT1XfDbccrvNp3T9BTbinPRn1ygLLd+/wcfD1oQVp89dcN05JP/FxlD1PjAOQ1h3ET4kDuwkUM1y0bRKIVHqTWZMCxoNCzDEyGgGlMD7h8vH3ISSo4K0g9JzJVX6xK0ThMvxFIF+p6aZqScuukzMg496kla+EN+poydIr3Mg8Lb8rqyUgT70kqQFlVF2wiMtbW7ha58bcJCZugUCRMwcG1oT36CagO/n2H+gK12pdYQrkqp5UFWuUrUz1oPZ2mPMbgiOoTOokRjflHj4YjGgmvBOh8E70EBx0xifjVTQP71awY07gSa5h5nSY5m8LfqdAulLWi9QyNtyuyhhUovseRi8Y7l8tKVTyrEpkCAgbSvWoqSNvv7rpHq1W/W0wLrX22MvTrNZmjjranwrwiIaY894SkjVIVlR6/wdvbGFNuIK1muaf/arm3FR3XVymXFokFX7uRDPVQMli7HZwlUHitfytcTEJePAkfcRvIEhFse49KlLOb4NWKjWacFCh9Aw7ygGmqnNzG0gSXKWkVWD6a9k+WRP9GxwicxkoygAjuJCm3R9StM1y4qu3YXB6Cod599cV5P3N4OFu+9qrm5m5BVoOQjxP+0q3qgTi8Jml4ZSBRIyqJWHP+mf0zq5NsexNyjbQhaBNsu9SFvBS2yEKWfZMBvUw6Cu1AFTy/n0iCO6xVMjQHRY61SSIceaPtCFP/dhl38IH5+0xwGcq+M0E9gnX3OlB+0g80Nx1MkIkHICz8coZx4a1JmT+HhaeAxtIFym8SvgetX35r7fri/mmpsn6rUyfRW5YR2t52W3rxfBCQfrt8uYXDureuJiIs7F8me/jiNs7kqFdWiUOpzTyyq7nXoUk/uwYrIfCwvoPnfwLEzY5qdG5u5jxGQGLZskt55UQRtadNHOggf1xH0mKRg7/ddoTsc1pgQJss7/6uAs9zeJHw0owkwoORpCMqWufMuA4GVQg//03xVYvPw+99pEghn1pGRNU+wTIPJClwl3QSXeDQsrUWDoFKDub6/EUCX4mwdlBdCoGIROkrx1WJ+nvb2gzI7MnCQO1p+GX6LiON4ETDvMq6vMqgwC1W1LfVC3+DNukKN3efVk6cIWe7pgIvhB8CbJe1OL8/a1E5vskb82aTxtRMbR2rVsjNUXJOIRCmG4p1Kp5Kou5DIjvR95iwH+KeLeT3qqKPbbCU4/AZFOr+8PVBxhbZ1Xm72Sv1I2KewSKxgQYVKd3VC9sVl+acfut9Gxtm9rztLNYyQkZhCozCGIQxAdUYDm8FSUYt2PbsrDqSWglGFS8YghkpZZTIzuoK2z76UlgnD8f93XD+R1BgkzgOy1pOcY4eJWcON7e+m7ua5me83PgXSPD1CFPxuebDtcyAa0NJRa0q9Kkywmvielu/9Uw4EhBKVutrRCQMntWbfX5F8FWxgGD1Ix7w47t+GgbCHJOqHC9e3pT7NwJq82DrXajRo88Z6L2eKv2yC9lV1NrEgchMCHTj1j6VnAZA/yycQRW7FyPtFgqCcNNd1IL5qvswop8mUxzEP7Lw/DDJwst4JkzXxuUdnyhDEh0s67Zms3svFG9AKXKZ4h12/VjxywfTZG5FK3Urnn8elouXJIHsuAt6iOERhNjmp+apHhlXv0BzfRV2EPiurArGudbK0AaS3xii47ODWJKP8k1ESn7ryC5tK2NGP2r/gpjqN6fma3nLhVtpnnvIbSJFYL+Rr5ZlgE1PDxHmE1TiT5TCIMevXY4TuNVU44ATXYFuSjQBbQi16PoOn4VC886vMMg+FwdkCiKk0u7oDogJbrLz7vx65gCYJUQWD4mLYas3g6matVPvnk7gp6lBwcJKjvilfRhhSs8eI8zUudGfvygsvjipDh2L+8RWp/U11XskyksEvqslezajamBxbD/qju8XUeMMncXDHXOXom4lQarCfS8Db/D12pQjH1k/Doq6Ue6oWVQ8HigbxXuy2Ax37xl0iK8RPWMw/5aNlKFpVC5L9NkDKL5c4tDZg1ZzLxGfqgLmULWDswxOjC+dgyTPTh3/crXTs+VcpfGlSksLV0cMpWRmXNqyyIjXFZajrozGxzMN+3SlLxnSSHDEXjZY4YL5vi9zxXKc+c0MtC5dhDj2a7wIMUnrXEQNX0SB0utruLs1h9/IRk5RVO/rY1V+wY1RWAytuOZiq66LkBs9c1rXSEjDm/uD7gwglj7uVT/eqsYgX9stnRqzQhwzS4ib/Qj5Do5jkuEGc03aLIQ7DznYqf/FrQMxBONkXMyUK2gB9iFoMfnqHhsTCJHEPKNStg5aB08lJ5jb/FCL+aXmU+V4dkkgN7FALvRmrzx21femx7fAoSuCCm5LB9YDNOsbVlD9FdCUdRnEiFNSx4wnGvVUQB3O75Bz1wYcol8tr5E31ZG2ulkBn618czdgEPvayhABI1JvXCES1L3QNzS4BJldr5mq/J/GN+V7uTIbuy4eIR7yPuuZox96SwXo4Chm6TYtbners2p15LStYsrQigj2BJIpdV85XLsWcGLGzlLkWFV/kXjvNp5GkxFZP7EVjpnILGY+KP48ROyTIAiS90jkLe4A4t+XBuovP6gieBHTJ9Ha/VLuxXAfv4dBg6166zjtRwk3yKcL1XYTfXrfsYem8iKmLeSE0EWE+CVygg5BseqIa+KIUIWu3C7vGoWllpEQHJEJl7TknmnKF5k59aBrUiZ6ecLBp90aUneOvovj10sfwhjm8UF48PZ7NosGYsnyyVcN/1ztLZ5Ly6/N5g7MgicKYRd3cgyCe9Dz1O2BhBuxegTrhYRDLaucuTxXA8ZxqN7UMF+i2Fa/OkQpENYXlWJPhUsF2+ridV3Lt71pu/wqhlOoxFEZkYUVtoe7aj2vNA8zIrehp/v8O5mQ2ONtQJ6uHg6n1ePTUT4hw8jmdWZ2Tu0vZUW3xbkFWnRkT61OVdJ6jLMXjEaQhDWEa71ABdepV9Q56IBjWjFJx6e86Bda2qLAd/kyCuMMNdI6+J5yaBa43J4dKyENQA/AD1KmUl671OUl/I7gq69SRF4374rHLFNibraAiK9cE7Jms7ZUz+07bUz+0p3o2DTNjHqci2BLb4mXk2ZwsB+OcPQAG27ClopAiw6m1FRJ8dQsPVIC3gGPvRlSKLQuCwzClVOhvJfjzxiRUrHKL3BOmnfXXVqoHINT+lk++dSfVAgTfaN7iKHLCo+LyVO/NAtbRky2Tq5/ERqc36VV0iuzWwkbKrC3cHBbQUxUysKtBJmSI9rrVkvlZgp9EEpjp3UhiyX7TSgWsTqKZ9B1G8ND2eIunbtfTA2mlj4iiKb2k9oWvutHPZW515jZLRK8XGh5ymFidATclhiPBSImGpIhgdAT3mfJUcclAbehLAtNOVA/37UwfoyipBQO3sGDzvod7Rjd7kOrbEjd6uWnQRBreRCH1/riUIxgNZaa7Xacol+HSTSKlHDHJQ9kAr4RUmOz3Y1PT9jJIm/CZ/zQ1YxBDJM8iPLmdVV5snA/PYfs+nQdYn2WfL4Fkd0dyIQ+yz9arMfrVZacmCeYOB+x2K9P+Ykvug9nn1GeboMLG7iVpXTmlYBQlOQRoo6K8DNIMZJOcLijGSYjNe3QCHd593wTKO+1pNn9hKNk1iEFn4MaNzX1PSXq26aDp0DyrPEQZyOJOK5FnSYNLOQqR2kHOzSb4UgMDjIOeEmA84lb955UsEBZ8xytlJHX5vHUvG1achFTSAgU0a3ebThvL1bLl4uHowZ6trYMWRoL/dwYYNp3trxWzuBUse3FDg80lB/cU22nX7xPfPbl1ZC+K0/1cOTmJigt7BiEArGgPaxHkeZEQ1vaTpYR969CYxnTJSL0ITwp7EDEiHvhIT8Pmo+MvbD+AhO1UIUNiYbH2odOw9wKyAzvYOXooxpqxn7YI0a8sOjff/GkmJXjT6Nr5Q7HLf8hq8K9P896oBMYnMzgIjtH4NQe+vjCzk85VIG51u1wz39Up4ap0HxNZEd5HXKmTF+jPDxNrVylG31RApeNLsdPeEgqUmXAC0PoAYESD/oYqUj0yMltl55oVhqSQgGSKy+63huwaqlS1A2V4cA0dRdRNQFejuCu5H8JcmRuxN0zJTVbWUEuO6SvPg7qgwgpobettwhZMbHBVRe5EEAq6V4vBZ/thLZ1mpc+8XtFDrdPKeK+aReqPLRWaDO/xRG8B5+d/XLsl7Qx2dxgkSS/a3ErlH5SUwuZ/auKZIWDeeLrG+MKLOxalZZJZEDHer3yEGWx8hHnNazxWPpIx9S3rFE3Cl624Bvfrq9v185zY9Kd5i7lcn57L7TGg1nynq4PiBN1MBqkXlqw7gX25+Dgsedn0j8z3Q03IlMNkcVs0V6nlX7Hg9lHI/X79LcV+4PqYHcGghy1nkMr8L3aPGJtHhFbvftqN9zj/NhOZoi7fz+Of+uE3U+i+uWC/XXqIO8VHqaHJPkQDGZRqfVEOmXfHpKyNZwuqDBc7NtjRVnFddVhFkhTFWdFdkAOQ7a2WtzjzychOQwcZM2qWJAI0DOs8Fv75o5rnnPMjDmn3xQEMUV3UjWvCQtJhQvcLjkqP98uSx5hIpAuNPJiriPg2iSNE6RMIc1jSvJ0lrSD9iqOYANcBhVGYmbM+sYrRmYFnQ79Pv5xKReknpB8OUQMx8KsjxxfrRNsKpBzBMx/VxeNN8HMnuqKMy1mj2oHt8n99Bw4aZ3nt9bp2wfsxzMjcOu0e+ULkEvF9Jveb55qz7OLsY9jD0dhdwap46noiIZaE+hdM8yyegamEWEO7PTbYzHVWo0LpHfssEE8bDxFgL/O/3xAV7ysKTPzsmfYrfNR6cGNkJA3rOVT4CDEU8WdRjdv/7TmtFpXjx5duKNXMFKyz9gvcTbxMKuzCJktC6GywgVq4kq5WmtqChBabMiXsQBfiZt5FeYm0BLTMCyWfwSPYNekuzuHI0knvRvnCo4jsM5ouwdAWjXf4tPTTmD2yOQFz+1lQVh7fD1VRAnqO/tZjYX1FOZZleLpVPaQCK37EnS1oCB9vLzx+MtOIv7Qu5MAA1075yT+uY1HGqOUmIOrfzYfvIKlc02UpcOP4V6MwkQpy6Db28sNGiVcjMf8Ow3qQoKXx+RTQ2wEt9EadrCrFYwp8tSnik9+rye9SWBdt9T6CH2JAZrQYjPmvSqOTKOctWdUB2/pGaxMVfyMWsWk6i+NXx57HF7RWX7pSQlrH1X7ZxtPNhM5SI0JDY+uSNH20DrWtzqshWG2OExWdJhMvMzeariE/xzbUCVSUJRWpME5KGRS7v0cNYegFBaTE1S90cwVfYUA0zQ7rm7YpFB13euiI3eobd5OyyyLy0YNM10CBe1LJsB14EInwI+aIrkfax8nCtqyqeUn2A17MCMAxona7Yf8nsb9o5rVYeFo2aGwPCBe8ArijptOd+sSkdTwJvYwJQp5XfNnvfwnWEHaFViEK/Xi0YX1ff3UAndqJnbC2TQQwvvRTm/u/KeBEWDFbNt28YTFqW06RiAfeDP6goiCxpG/Ey5/H78UxLhkBqzPxFBshBKYR2FAk4vWKET9bIe1I9te8aOy60UcFSljhutGr/8JlK0ojPrhw2WQtTfwra5ZtxXBO+/Uh/W7eQyYKd5ZLOfZ6CRC42dlM870s8OzaAj+N1CPsPmG6G3ZbzmR7mevtesrWNEp8lnFU2gXpEt6rdLfohEtQUauTF7j8NwV4f2zPbYk6MX4yVNq0Hj2bYeRt+gqiPSJkAgedrsoyMYIjaPT4wmoEUjofTLZPWR6kTboBWLqcRgp/Bh/zcGzKINEoeoayskmV3Suijrgu6eYVJOrpySumCrlJEncqbKze42YYgEkvqBZoi4VjvFsz6P5unknVEuejisFqQV3fGmSHcrAzMWX0hK8BD36ObI6l2XdfD2IPCf1ekbdToX/tbFa0AU00FbjYjq8Ty0XisfCXLPlOY8Va0CT85Xid1wZ9rlTaHxoQHEslJXg7ve4Z/ULDQ2hM88uyu75wdk0DpUjqFQeoeEEr2sthaWeKcJJZiGeysYKtJoZBCWckvKYMU0xNSuzIK0CkWHapM7rIayzNAA4FSf+gZUW/0PVRUdqpsY0CmSxOEAxpMdo0zOGObLHlbtQjUg1d7F3B5h7SdlILinn1ou/5WU8BCtCerPpW1XKR6MtqmUhg9ln90QeAb3CtqU1zLaR58KxxEZzBzcCeFkxP52hm79gv5jFgBryBhnxntqC5s5p6V+S3IkQP67FT9irdww01uKPsOU45F6qTwXh8HXRfcviGxq0gR2tV7k7wquAovfc/owRaa1Gc3XTAL0rxxHuKrhnbhPXX0G2BXb+k5/cqwpvPGIAG1P87DJfh9tut9dsgjqBf3zDn2QRKjIa2vl7JjmlNothQ0YdD+XEacztsZmEeCERT+Zvt3B4uywkqVa6Vk5ohseXkKiSmDkE4hpFEtxW8pcYazNeet5QxdyzV45gCaYfJ72Zw0iWNpy5eFbgN1NSOjjwPpzY6bzDRMcSPVOSzBMXeL4j/Tk/ZZ8BL7BREXyplQROtsMUofExVnm8YJxkz3IV+rI5fAP1ZODe9NRtcw0ztMTHDNTml5eU5AXkl4c+VoXmb+oe7BxB0tboJwIIpd3X6a5RVzEPwga6WDNiYksn6vbQRoSD7RS6zv4vkKXf8dgNn8BWUWkirEvvVcBd3jaHepmSigK2gEuYWL9zMGsFVU/nZ28Ng8my2cqhJVqOCcgbvKtWVe+gNbtyN4KlYX49pUBQpsXeNhL3gno5dX8jeZJ4I26NJPsurRwtmz3cJ5HCvJB7fQS3/Vp5FAHn4l/jTDY1YulIEGs6v7CFD/MyUIrBm/N4XrgFfQLhttYepbdzQ69gc8SM1Fvi/0XP5ctbalaTlOx0cr6hksd1G7l6kUCfqzePGKT6SibzdnryUoXC4aBxXyqGo6oaKdSe86POqDqGRR5MKeVLbFI/hfgBRCt9tFx9DIiwVmKbxFo4PvroKikc7ytesWr0z++wXsyru0yI5es2rzwsIJuMlKEeLlBUyis4GpDhG/UrhduxrboKXrlLWsCxgiiuZ82l9x106KWUH59V99NVMBiPL/so1nOsIhOFFgzYTOzWy4QhzhPFWux5DoKBgvnei9Fgc0cBGkEtDXpRTixPfWDtVKUhZo8mOjX1PQ7gtk/GIFACYAFTGF7obwv3GnWny4pjSuvmtFlxbJzHCpKOkOGPbwEOPzCbR+5mq9qyO1AKzIXK949zxC+3xtOSHgEjelcQyMsAhok9Niclh9+U+sgndOSjdW5UpHrSShknO0YtAv2MxEt04ygHa31XetHaUyOok8aVeEn9BZdp/NypkMm4D4usNcLc3VVUTDKnJi6CUWd3MwE22OR5UDUEjTkKar3VCcXLqWgvk8N7jzaa1sQlCwAkmuRH3vHmesTZutQtV9i53Zltd4QorfwX9oOQLYP6B320izXnoXCEDgfBJn8Cr9ovAvi/usOYxWI/6RX8Qotx5D19Dp+iMoPxpFK6A7PBSSUop38ifb5RglHAVACpV9nOcGZiwC3R9qFZ586a5yoC+OClT7pGf30xxvtlFdbL4ByfDUDi+6UXoN4Or99RBuYMoqBuerhInFpZGnpItUeyJ9VDUeiqXJYm0gUGCqpWGzlMLJDBy3BBk8AfKC+IXfGmqBB3reVKwomwn1KOWUv3biltcfDNzqPwfhxfeuwn3BFrJyHl5TW5EasFY4MeWfWX6BhY5XbbkUXxafROZJLdzdMvvlcmlxSuOd3RhxM9MjXAaV8I0KnFRI/Hui9zZQZfjeJ+sudDzEzydrSDfmuiE1QRAENYy4i8rElaq6rtnQoW7IVlHVlkskx1SbPLCVVDAl7gCI4SDL5onh/sq7J+pvs6CIlSnJGn/2uKZuJ1bMdB7eYrOok5tItPpBmSX7iiGv+U83zi8iGCyPFZwYBQIrW++KFEAAgiauooMjiGGTwmsrp1IrEHIooPQk7zQI9XdJyFgecCjob2PNZKfv3IZmeSTQi37sgIeCpa5bxKNDEuUk+hBWlTW3pFZNqbC7FLAgOEsbfkEFTvGyXVeVAUZVpTQtLvLPKqpnOEobftEoP+EwrxVozV+epsdVuULkcsTf7VfNFB6zwuvyN6lMa1kgdoBt+nMsXxFjoQVpAYGSm1HoFOcpYKxHavwfEnT0TeNpsIMu7tQr/hfa5QIbsr47q4H1P12BdB8gTi4lxcImaKHvDq+Muy1Ge+Aj6iB4VZBRENK6HQLO9wtelixjUm0Iy3SPdhxWm7hav+e/qKTsLk0iHyF6OOW5+bNQ2XCmis1B4o2xjR0COTFej5Fn/QZ+x9GxgnEmR352aDzqJE0FdJOXms1F3NMd3jMtf/IezfaH1IILtKwVOFOd6GdghtC2nwSbrt+TngU1KAn77gCEy9F6ik3DcUBatGXs3APeyaKJjzvaQadOrtc/IQ3GZ8BRsWF2iFQs0flDD0mOeBGd4XoP1TzacBy8EI4werjhMHSkg2Vianh9oPKFng7/vWm7Lpkg8ZryuRPoY+KPH8yzpD5lZcF1v7c/5rQlH7uV9tdeDMkXlhreRZyBd5wlKnuNCWvij/jvscIGoiBwOI6BfPIM7JoLrmfdO6sN7BKnwL4FBIIICjzSGUvPM4vl/+ynnlu4sCaBscsmZZUgyXINQquPXBBj7giEpiFycKVAjPVFUFAqdIFLp/YsAqG7kmz2/dWLGG9l1V/9ItFnp9ia2L1KcAuxoodd3BhCl003j7pqlmKdBwB+vBbpLN+cYkgNqprB6ef2XewNNP/shQkIg2EAW1hCZtXV1CNtkO92zFF8NP19q2k5J9n9pla++dBWNPv3XryGWT762oRS5lLzkcKbsSs/7ADBK+hp8DMM7rP+CdsB7X+s1Hc+W2l0aPwmXiwLj1zVeDetQRl3O1HqzXzCub6gIExeXVBxt/jdbPZllIZIz6tvfNwBqmPIYhC8vIo2OyBVUGTb8u7J5PWmMGtFb2Nzy8bqHzIi0bgT5LbkhtUsRWD8WQ7HDPvKT36hrFGrIb2NgAjJXdezJJshFQsfszfu+Xrv5lZQqNNnf+PXhoKwXDYD9O+6ERQfUohYykNy1L/SyPdQNq51juE/yF4GNqojdNviXHbWb6ZzxPLwpKYc1dAeD6pGweemyxKPn3UtWofeowBMiTWM1umIZmfYdNaLR3+hxCBQrlS0VSDTlNNmjRh2wyY7oAPAP/lPIrGVuR33t12WvaJ3YXMX568bQv98WKiEK7soSuNg7YaAcNhvhk9yHXpI/Pn/PgbkTxYwbdLKZ6JGtNjQ0Y0t3iqH9YhQHzKa6UGFiHYA68wst+OUrYlHeWIUlmHv5S9CyQGvFXaWgU5l61sUxuLpAW1V/VTCqPY1bXoox/90RmvHcjXcry5odf33WE2fgeh3iGJECqKAy9Tmaq4mjpkCHBRst+XU+lMzycD4qIsevM2CWGNCtj/wrZ3WRJxSPqEWRekNyD5a9rVkOBL2dX8uJQJPg9YmD93pgbfpITtBKQ0JXBpvoyUXFDfrkAHVyq4UubTw5DnVaEtw01S2FUL7ZRwWWPl/KAhr9AN4+h2gZJs2II6VEDj3JgIW0fhBL5GW9PaaOWcOAnenO5DfeXhCRU958pYfcsDplT1vhI4xbuGx6vsaBGPCYnUkajVP6JCkQ/Io2Vy41ubbEAcDe1gbmEgw/co8VcVPC0YMoWfHQHFroQoXRhIpVciyV4C7rh7i2JTQ3GSFYpqY4u53ohivLZ9+RPeK4iOW7jXzxNG5WrsbmhWqzOJ05zEbERsI8N6jeoWeK/pvq+S4ypntgm9cCuG8/ujdSNYEo1amnHayoiROYvpjsYJtx9yqLV3nCVaJ+9r3ezQGmP0x147dbfz0BWjMWNQLugsmu4kjgXFzteTCO9YYoDbrYEklcmQ2qXS4SBg1ecDED7OLOaZJysKVeYwlaBNfGk+hoymQLkK4U0FJ/RNKImUiuTzyvXfCvLXJK0sayIfHmwYH7g0GE55TheHE/I1s7V7awt8gwwJE3ZtsKyuq4zqKQ6fWckmPdC3FjWUSa10+x3vmxGEEKyI6O0mU6Pl5fRPw2Mq+9US9/qmfedHAQPEfAcVWjAnw4V5PqZqunE5y/NMZyltJmB6dJfYSqYOCDpu599Ux6fe4kE2E4tmsUmbv8BbaJMPjomYGworjdRoc0KtAQ5Wy4qoWALy2t3CYz50aSQ6x/1EzlKf6UZqVPLEa96x4prNdqou1l8TjdUYAoon3c5++lXA7DnQD6IitGLFncCZI6YZs0h8xck/K/Avcf+VN1+hZoaq+omPRACEGsF/yEuTduBBFqIL1Fvii8M8ij7t9BqM5CgzhcFlQ8skMWd2mGJfeo+XjlxYqryGFIan9iOhbBJ2NwNzrKzOq/X307IYs54L34T4VzPlcFV+bsi3Qn9gqMCoX2hBsN8JBmtngGOTnlffM5/Cil7+mLKUQVkIN27Os+7lCmJoRwwzNZ5YbGRI28CWsd1T2Lh5Flb29HojFL6rgX4W9vLUJeDkh4Sg7iTQ6mqQPjdMRH6aPtuOBAoM+cc5XpUvZ9C4ql6KjYX80EJr0nkBRnCyunVCysQl1wwCW1GrL5UMvfRunauhZUJI+swfd8qFMXp4GwqAdeLLiZ4qjWcK4wiZZqnaYXuHta3tA+ekDcYEOVzpEfCMk6odbb4HmKKi4hgLc8fX4CrOCSQ69c+cZa1SwfJUy6way0Ihqsphoj3Qr9SxzSVQVFVGK4rBnkL6NaEx2R6LYgt9Q3pZPsa2r7OrE4cQjLSZjmDoaxa+Fid/lXdkCY8BxuG5zo28YH3jsgC+WSA/1vj/gv6IzqDs2lZLcKeAy8GPo7j9nakpP8En1Hj0DwDVW2XWxVhn0wkLtCTz1SOXk0RwqCoyaywaZdNwoqeg6Bqf7v+9qwjHFFs74gQLKhSv43pc+9M++rCbCS1MJzRalVpbQAoYPis5Zg4Vm7vEYGTheP3Wycmj+JsvCmqYzV2panJJgk270LX9BTpMk2SIp9U3/FcYlVyVA4qRSGGMX41lzaury/mRObMIoXenAtUeIngp55fbvpl/QhtIW6wn0HFid55jrmRIPKCnuhTXkf5vrXz7kppHQcRlp1OW2HC5LgLKuWcrgq7VL5V0jyrni0/CbLnFaL8nEySbTx6LmiFGPwJGfWaVjUnLsgae/Du6Zi7LDX2bah+4VYPtFjMvZiQkR8EPVWd5td6a6F8q3joaa5hxRn9EpQzMGjHOM7lDuWSIzO3SKrO2eWEP6SR0Wf+qvrUJciFkGXejLWWlnExFKGKOyiAyGInl3mkIbybdZdqf+NYs2RjXNOkDDWdbhP55Q1/BMLsnos5HU16cJlR3JkQQaHxK527J1T+DfQy22HWuvXjhdPis5DOZfQmgTUT1LfbIz/Ur7AArLG5HLW5N4LfkIqoSkHSOKpKUSWJt5IDTj7gMAKjBrkpRY00/leubHT3xB0VUGatyunf7t1lvwN/e0yKbSdb5qn6fp064PXWcb6/0reS/voCnTdtZGJKaqb9tZXFGeytvlx4jeH1a8gF7aPkY5Fk6/Z7O8P92Uj7Et6ODfMzXNF5vVnLY1PAjEqJ1OOMRyvWerdu5hLo0wWSg7iWfemPO3NWLJPuthhSMhxqdrTrEOzylSS+qqz4izrZYKEqD+pQP+16h80hNNvj3XWkX7ulNdZmW8dX7x0WzhVwe1Ve7/eKnc9BYY72SWexsr9Bz5p6D5fb8cofPl8UI33hUUsKR2EGqbeUcOmLVKNi7hFR6d9eWw0E7XSLMeWo8C7doCVtDYh4KPLfyjGd3STInFczebHc4ij3t38cOmCx3ZrML1pqSqaAtkAApUy51EuDtChDVlsvxkuDCobiDvZ3IlbgNd9xwYV+UOS6xp3yJp+7C2/QOJ+gau5oBHuBY598GcQkPu3NFIn5mQlOxANAZNVxLhoNPp88nznQ81WeI3tYuku5Xzu/lXbGlb2iXJ9+QsGNWEwgxVmka0G5qYsYHsjA4YJF2OY7et1IHVkdIqhJXNy+e1BlyKxciwuQTgiNw3qajCe9CxvwkTV+h7SPjT3anqCa52ZHvF1tMdvnYAZJc3bYxK5SIMxWHpV0NVim5CBE6b889+jOM+cwj0NiYOMrb4MfZ6SG7jlQEuptwtvLFol0rvMOZrBGm+xm/4y4vyrjOelEnO+VmOKdlS0vDnZ+acwZALH+jmm4tAlFkff9C3z6jJH8aNH6r5wEW5zHz/dYl/bNTQmsv/SHh9gJIOhqK6eo9SSh8HEpVb8QaApkhqutu/xACsGbiG+lHAkVBUPJTqv7rbNw50OFpSiwIRbtOKj7VlFDceoj5jz6ZnKxD8w/87ILxpCiMC/BQMoyGRktEY7Vr/6UoDtWG/JqoQpdbTwVsRiavVTPWPGW/v74iYE8x81MIWmu4NCGsdwk5DJqEduYqpgVowSlqCH9mLsP5yJ1Ej+ZmRBPiZdD9jwSp2ryt60V63pSO66jXeGTPbrvp72+48JB71T1uC4pSeRhIRodeStnZLWY0+oAhueoG0DzfnNh702KqzdRA3SYbsEwVG+b2THEPsjBZ24DtfcO73VtRdhDqh72iOhu2IPVp5+WtRplX95c+PG+QPZxANtabW9083hruWQG0TXGmupo4I3EUlHwfy+WphP+P2qyFAINCmVuZHN0cmVhbQplbmRvYmoKMjg2IDAgb2JqCjw8Ci9MZW5ndGggMTIyODAKL0xlbmd0aDEgMTczMgovTGVuZ3RoMiAxMTE4MgovTGVuZ3RoMyAwCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeNqNtwVQXGuzqI0HDQS3wODu7u7uECwDDDC4u7sHd4K7uwUI7i4BgkNwdwlw2XK+vb/z/1X31lQx62l9++3uVQMFibIag4iJrRFI0tbGiYGFkZkXIKagLsMDYGZmY2RmZkWkoFAHO1mB/hYjUmiCHBzBtja8/zIQcwABnd5k4kCnNzsFWxuArLMVgIUNwMLJy8LFy8wMYGVm5vkfQ1sHXoA40AVsAlBgBMja2oAcESnEbO3cHcBm5k5vaf7nEUBtTANg4eHhov/THSBiDXIAGwNtAApAJ3OQ9VtGY6AVQM3WGAxycv+vENT85k5OdrxMTK6uroxAa0dGWwczQRp6gCvYyRygCnIEObiATAB/FAxQBFqD/qqMEZECoG4OdvxLrmZr6uQKdAAB3gRWYGOQjeObh7ONCcgB8JYcoCYjD1CyA9n8ZSz/lwE94O+7AbAwsvwn3N/efwQC2/zpDDQ2trW2A9q4g23MAKZgKxBASVKe0cnNiR4AtDH5wxBo5Wj75g90AYKtgEZvBn+eHAiQFFEBAN8K/Ls8R2MHsJ2TI6Mj2OqPEpn+CPN2yxI2JmK21tYgGydHxD/OJw52ABm/Xbs701+dtbSxdbXx/BtMwTYmpn8UYeJsx6RhA7Z3BsmI/23yJkL8R2YGcgJwMDMzc7NyAUD2AJCbsTnTH+HV3e1AfypZ/hC/VeDtaWdrBzB9KwLkDTYFvX0hejoCXUAAJwdnkLfnvxX/TYgsLAATsLETwAhkBrZB/Cf6mxhk+he/Nd8B7AbQZX6bPRYA8x+f/zzpv42Xia2Nlfs/5n/2l0lGSklFR4Tur4r/oxMVtXUDeDKwcQAYWDmYASws7NwArrcH7/8OowwE/30M5n98ZWxMbQE8f5327Zr+58Qufw8A9d/LQQP471iKtm9TCwJQ/zPkeswczMZvf1j+n0f9T5f/vwn/I8r/bcj/94Ekna2s/lRT/6n//6iB1mAr978N3obW2eltARRs39bA5n+baoH+WloFkAnY2fp/a2WcgG+LIGJj9jbMDCzsjMzsf8nBjpJgN5CJMtjJ2PyvkflLrvHHqlmBbUDKto7gP94tb17MzP9L97ZfxpZv7w/Ht7n8UwV6W5//zithY2xr8seesXJwAoAODkB3xLdOvxEHwJPlbSFNQG5/TjKAidHG1unNBfBWozfA1NYB8Y+2cnIAmET+EP1FnAAm0X+IC8Ak9g9xA5jE/0NczAAmyf8Q9xsp/0OsACbVf+gtg8Y/9BZT6z/E80bAf+gtg9E/xANgMv4P/XE3TCb/QhYAE+hf+JbS9F/IBmAy+xeyA5jM/4VvJwL/C9/SWv2DLG+JbP6Fb4ls/4VvoRz+hW+hHP+Fb/fn9C98K8H1H2R9C+X+J/5XC42dHRzeXmV/btpbf/+H/3xvgkBuIGPEpQVbY74gi7qgb/c1IgSuDL8mWNlRBi4jruG1diTwXPZUAsT4H67Y8iMXRb7P7UY+bKAfsZa8NltqYzNbGqx7pUXyYi81fIM1Ndqm95pCF3g8cpR3Zt2V6+r69JnNxsQM+6xFdcj1WniWBofe/uLXfOaBFD9lS9VdpfnZO6qmY0ZkqInoyHe43NxsyFBBHSKZHVWitSKzc50y5I6XwhMnCR8lDx7S+kdZObYGlsvoIcGbaQSHhyh2cteZh4Kp+z2c+HKfpwCzFDs9ErhPsdQB19+C/KmNHMfUhMj4smR2pi6lL3eiZVRNkIeCwrGoLltduQC/0Ta/teUA9wgA3oln0cSY34hwLM7TymJuB1ZRvgjkqWugLGJ4hVxtdGMhV8wWkewaYRKeYhscrR/4JIvJwgnx+WsQrZcc6dAPTs9VZLoGsX1jf9oME2ddayfXPtkAdRrTy2CKMQNxoZJgZu1faBhgem79t6GVqzWAmnZquxZltGhNQuwHyuIny7Inv9EBA7VHiluyN0pXKVTybEc2H6NEzSgKTJR21toHvuI9FyKJzkfx8uD2EGK6wHluztQc1MD0L+M2v4M5PQqlYF8mlEmVeQ0nYEgp72ifIfDULsUaOVPohb+hrQ9gX3n8NFFdgKqkmqUhi1wz/qxEd0/6vBGSOhOX2+2idCiMw3b48bTPRLaq6udJlttvK0iW0rl0YoNB76qHg9YfwyJDcqiLUkv6elMzVbMBq66ML7vC9C8yy4tZ3GPzaQZeS8WLiGHSuJ82YGJgzmYcZxQnWZ0nkOeLypfoE/C0UmarLhYOYqCK68MbRAIQWtlu2CYnuu3sm0ZlZe4s+Z3fWZ7tHpUTnXHPse1wxCv575dfhlhivUbrmylsa3kPmsIQsvRhmDg6yFwS9nu43ZItAczJCyXUEL7dG6eyn9+yRLUaoGCFxQVohLz2nx+V/o6q+Aj9AWnQp3lpE5i8fn5QVo4qxH5IURrRmYPhbr6DLj5RsMYJK7v2MpykO8Zpj/692qKYCf3+XSMAR4G2Gys0Og1DGh9K/yOjN2X9eRQB8TnC8o18w0oHMOXLMcrm4DFCmh5T4zy1XRvsM57nexLzQ93Vh5HpU6HrFt5tL2iXJBtplk8yh6AQO2YTp14WzLHKum+/MM/mr+WXGOTnoMRFmWKIK/U6VRXSZT8Q7Wwt0eLbitSnHLxaI5SvXpMLHz5iLnf8hBOAEiMtMWwg12/xZQLgho4CHrTzW/gk86MIHWY/1OVarCv5LXJmmov6V8T0h839vkLWHqridzQRbeGKHiOuTtP7rRy5J7kdozfFCjP6O/f23reXaDAX6obtAB9lkp+YC9orOAVi+qX+tkV4+8BWHa2r9MnFqjtvUaI65AayEffb7qMT1VZ/6APi0GBc913hq8GiBCVKXe5Mm4bnFAuhwZCPgtzRsckwHu0YjZ6t+/HZKYkjnGnYWE0UWAiDyt19hILG6JGL5lU4g4tuGQ2Yok7GZVaZ746foCeiRrP9zOVP0Km8VkrRUNsIC/3c37MZqlxmOk7F+06fq6zMcw0UySS/aVGtzKJ1NdNo66i1cZa36Mjal5jU+mzGjx4pn61EBwOtX7PIl9LaJrcVOrKFwvEqhyvH0EnP6iQrhhA4JB3Ib+3o6F0TnfgxfoqdalvDbrz480YMj6ppV0aS9re2FPOEZplI3QjPtM3tq7WZ56ReKrlq8jVpqtzDiZBlAS9JfpQvacNncKS6FF+xgmDskMubqklGE85NLTH2w7GbpgkHErUzXOWyZhKF0ObMDlIGxld1korqfROlw6Rj8qrG2bPS5C3zWifKWHLgxwl7g06jf5+jpZUs9lRp7A6xlaPCRGfBHQ5w7zayOEgOEq58JT5reb/101eIVDJI2a7YO4h4pNZwSDOAbB/IOmU/xS+a7dwrzxqPrDQL4q4tn+sqCEoyIecTd9WzOEvesKqX3uFGH83U0246b9wSLX7PQw8FqHuUWY80z60KNVy1nNgmG0Xuetd3o+SIyK+epTVidXggKGHRUz0VO7i2LcX91MHf1FqBDFKoBiOVb9RjOXu/yLpbyynzGs+HXNv0+ZAxoRyM9UVsyA28NEb/oBIO/yxJkBFJr9woOWTCpNdNa6nHjoMi4SpY6fM4JEMttdtHEdLqKpifcWFOLFN+MMXVNyghlPpByYNS2dQbYaRsvlnh4XO1xUsLr9bd8ffQPTjWDd8BdvoE84x5zVYBkzNkWsUH53wOUnKVZBYCrGC4puwRThjl44uuWkUGBjFKwZJtBW0spL38MeKVhkkmaakiKjpenYLZjqNMP9NcHQVWn1e/dt1Jj1EKle1r5OWV1fvW03eol4Nk5epGFZW6HooSOyTKvVNEMdoE7cfDWGUhLFL9kAFLSK/kHmLb6VCtPeVpgjYSXviTQVtnDlR+bp8KT3Rh5Qk7Zi/IPDlbD4TxfvgaNKFd1jGeej2vDQHhlp51Ia8bjOA/dZYpNyMfWJQ4etGbYFuuG3n7HNb0+X9Gf+VZbOBbS8GK/GzcRX+qNh+mHrGUrvFUg3a5KnOqmoVArqW3AT2RrnRfZFRqOPXdqcUx7bsN7Jnm83sG7v4ddD4Hxy6ZgT4PEYXMRK6nW/z+DvmyRsromGgNS3Guh689xWziGxeBBbErm26aGd/vvJGw3UeQBht//vhSCe6pf/fI9VWRAxqhr8ZvElzsf5wkO1mSV/DlUcQPCT5M/oXFkry0+lvAK78IljSDBxXe3dgelZXb1yKa/Jh4yMm48RT3Tr/icwYuLJjrxoKFcP8XuiKDgqmT5VbUgJqBkh+PnnvK5ALW6T3qHBeXTt4+XAqoXyKHfp66uY3gWMc2lL4Ahc9l7MbHpl+lgDw/Rh+iwd7eutkebjAV+OeS7lIHJvDJnXbOPFUaElmFIyXfFojazl9XvGT0cK6fTfLqtRRb3CAcWd2tGnL0Etwg4ugIkD9n8vp1vG5cYbtI/OACRWfPhORNIsHrRui4K7kYWDjwkjMEoCf2LiMpBhr5y3CEvUbBa+glwrK9E8PvMjCNFbXtptblq6xso/CQsWSNxolDR7o8vc7iF1Nq5HBNUE2ThcPZrRHHeP7NHSQu+jGkW1Vl8chHLeGrKde2YkEPjlPSIQPnJFlLAx6lVGA+w0QgZXOKq9wC6w3aB2rnZlZ36Tbeuyqlkud+TUgD2RT4NJioWr32mAwf6e8YujNRpULZ7yXvJNpV2viu0E2RgBCgve2B2uIoFdv5VSKuEbaWrxkGNCvOHKVDo/xhr7xjwf7HjJELmdALrCQjV0EfQFjCWjQo5Sr9AvBcAj67Y/LfBdMalQAO5f2B1VZXB9BtLfWT9b0LvtVdgfgxs7jq9U+k8+vFd2fifCQxJxEadCLhxUMmxSb9wyPn4iX6Tl0/N6IvYPTYZ/bK9g9TZOzVflx2bcyUZw9wNmTeYThdTmQr0BOUH1/n1J3IdOBzasBLmgrhOX1vZoS4LPw0PeZqglO0rT7VZ/yJz2PyBCmufUWL3pVGkaQygkQP8lSQGZdLhDI8itHHdwAzYiLnGkwWJqmg7ZFyx+QzB21i4uoarkFFTeRnEZ32btzfKRvy0cfeDzp/dUYU+ofxN+5y8HUlm/9RucAAHLlukUYyNlzrTLa7ECVsJooSH3sf+pRbFAqWsZ/mCcAcSPR9sa63rrYZ8kI/eS87wE9SbL9g50xVTTLaTTUPDc/H+flTilA73gsrWKP11YLfVzQGiipERfJBm1sNwWmnfCCd2nMh2zOQyG3853eUTt1EXpYenU+QNZbi3co4AEOEmHzrGToOQURL/vZii9DUiqIrVbIgBKeXY1+WikTBvi6H9i/VLvQCTxnsplZZu6Uetf07jPDIiuhu+hEhG4HMMThDITf9/szeaqV481ubGGERHhTPNSK61afEXFl22qd0vgOspFFJkbatGSHvONS3Yz1jcrrAOwjxl4cinUb0J5qkTh0rYv1TN8pLXy6/SGZxflywF/Y3y5Ju2o1gsTmeCKvuMAwT6Dvz+Fb9S3OwydZfvG+h+Sxt9nhloMW35Cg7/kFVa0BvJQCLOEYnPaujHgoeAStcG99JZvJBmNWutMkQvb1hiapp8dnKX5WE1ZPuujEWf/ZaCL9rRnLcNhpD1X1O1dDaYYsnqnSaMD+SEb6IsR5O8IJgcrS3w4WOPk0/AO2RKFf8xXCPVUv81NliT9FG5ifuCmukt3ZLza/0cF1hhtYHmIfyrpQvkLr8SiWuFiVqEZFzFO7tIjvCmeeTM5WNa+U5GBIm0xD9bi6rxxTrdAqooieXOYalFu4Gn7X33o/0ecJlIupat27AnX6eVvgM8DAwkpVe2k6/DIzyRDtKHdmzua5ezlHTsdNxovb6JBXCm/Hz9GmMbHb1w1DQ6cjuRQ3jGqqdeqd5gN29kuVynObz97I8d9F5FtxtQ6QkW/+5mZ/2Zcj5LjupWkGwv32W0g2K+Ri3Ii4DlfynYnAS9J056klei9fu9Eqh4XtdITFc1yRXaSFvc6/7u5VZ693OAhjxbUDfguc1x1QK4tpZjfppyr/KFm+y1ciz6D6VVVeQtkQ60g9s1BAPnikHiUmjTVGy1YymLHVSFJkVzOS5SnX6PjUu3cN99HBRaK9vs6Gvbg5v9UQbF8pLQXFHGIswZ0tSquOn840SD+216n/AM7TxpCvx9NswVV3qs99koTfIHhXP0YrCq5IMHHUDZiQjko8sSv0qTzJY5rdnxfmGkcTVX3Ybg8rOUN9fUihjV9BVkvBZyr3V9ueK1XWkhFFAWBF7k6zQmC74lS1HIsiKelgQCG0YsfZqG6DReXzHecHoamu1USZrP4W8fUSrL8JkPaU/erfxyq9+0jLWxEMGoAyEDcWMj7yWpM3mCY+adKPk2ZEnUPKo5k1Q0r3wqXCgJPG+ExVjrxok0hpqYFDJNWAdq+/FpEyOb2qaOrp6nkmbHbjq4VQVfq6ZY5o16IREz9K8d8aTFswjSwlL/UDNUpl7gN/TTtIlQwLgG/VR9vfP7JUxiwPsyl44R7APWdZWmPNC7dr3jsqdYlvfa71rV40U9Q6iIN3UlN2RK+U27dBGOEHor+sKS2EjlepSgy1mkw0z5zO8+xjLNm3LPoXkqXHBPqod3U4jN0uXllHUK4hvihkwUfIzc+0yxX3JxyDNBe4rguXnnTmUF68O4uAqUVk5ZkI4bovZy88hV7FHDHEbiEfsoxQQjPYVKqgXjnKMG6hHkvgqIMByw6VWupLVrhTPUnwIjsrQPOgwuu6W/TFd5+m8PBzREVE1cD7ye1WSwcXxpqQvmilfMuR9Qv0ez7D4ncCDWSkFV1kwBY5HT3uAZ/VnGZa4Fd9hY8KNj6XWItL1LLa9OtYSWZQ99Y3Vv8kdFCPgL/jQpmgXrum1uHYJeg2xhumlCdPty3MkHqmiQjDBZqkGNEawPs8dhHWm6361cJNgiksSriA/1TpFLnanJ40XFZOoX4eL1fhVZ8Ql/JCk3AEeKLD7lnJTwiL6z2fLeKFtTSHM/H7znEM3sF0ZxwHSnf0qH6Md04YpvISAcGRRUZr8Z/AkYjs56eSZo575RabqVKyTqV9NblcckVKzmgaEQxQznLuRUjVEt9X7VoWUj5F5N4KSx/cL9HJPVkN+rkliMEHXZ4FrzwhMrMJYZD6F0gzEcy008q1M0wkGDhO6nhsVJcq6cQ4IOCUuh6iBRs8aY4xjHyexZVR+4OjdMG3u4cELsfEYvV8tx2ICE3HPJ+10lKmxUN800i08q/eKKmsdhA7hKH/Jb46u+/2xAsvt2mb/Cqu6sx5+Ll+3gCdpMRS9ay5e6vaA++CVUHFEcratQ0l0PH6Yj19qVVhUL/+4xlf5vnshsGIegiTI2DmUxIWHb1HOIFZSHt5d49vGi2ql33Ny+FicZPLnlA+0ZKWJ/gIWXBgOzcujFRHacNIT0/SX3uUnPGu4NNVSni1EcPa/nCE3DJlheVUDaAQi7YUSBD3e1wzcrRC7arA6MePxD+zK0T67ACC4muoK8Nb67HTJk+Iu3vdyToofvI8IFbGY0WX1LnN4Gpo9JllDIvg9Lj4UnhcAl4SWvlyAoCCjj5u0UhUC3WAhLaSxn5BB+K4xjasknkgJ+6s1t5pN8D2IqE/2Nm9Nba76kkTRkyl6dJQmfRD7iUAragJrMVoomm19/EptJ3f6DAYT5RPkYrASpjGCoxrfgzMK7EFn0oCXsXRkTk6tHyHcPkY6+8Ts5VZCZRUlcswu5XP2hWjdA5MxurpkrwGiGaVTi3sqmGS8H9O8Frdb+ns3upEmPr8phAd1V/EGbdCp9iMiVQzzQPQ6VJJgSgJzmkqZDBV7sxrN+qIV2ZgfahIpQSbRI/tWD7TXXdwn0THVEiv56G/TvWKsuJv+7F9qd/qdpfyb4VwNKj6mDn7bY5WU3aLIjNTVXLhMNFMXbt3ctx/+eph6oXlKvjHDpFim31igxrelHCP1HEE6UPgBjPMpqkYIhjiWuKCWqRHEScYFhxlObkG/BboPHxeOBKohM4V9FyL4LUMl1jlA8AWKdjWqIIjjagygP34OsKaFaKfvonfPnOiL05HKJx33odnW6olQblXJN7RUIIZrPBOmaN8FkL2zllbyC1MqOH+v0s8IZDTeieJr6QWvxiDwwCu4T3TYPxo2zZTsDvhqAG2JFbpR7jNfv2yNQF+KuI3PxTDjsPQUyMlI7ZvC0MOtrE+hRHJVdC2w2Ugdc1wNWXePYJ1Lo1Iy0MOnYhrtKgbDKutFeEWaolzmwTpnL+n63sHyKlF0LnJFSzJQNPBl7ebnLFgYbH68O2Klyj+YDWc0zMX183IaiJ+3zwhKsZ04wQIPYxRB93y5NbkvnQ4c6+t1xCRFfi00enRIJ004aqIGonBa/+hAHlPLmpRIrqsCI3AUNuWrmpZSbLdVCWBtytKcSNMoUMIRZc6oBab4gOXl2PExamVFno4JHKwLLbjALl4guq8RY7YzeyZpDY7du2IIYVpK01/Yg4XWAzSuJO+E6ufC8a5Rfv6y9KXNU/xJslI3AgpSxbD4KMcAWQRO12k0qIvHBVGyqqo7/q6/1Su1jkT3cv/cCvHwvT48NqfphD3k0/v0Z+KpQpvYRrNSzOrwUp7AVErZRO0lBAP/brsJRPyc0JP4Ulj3hlhThj4mvGbMc6+NLKu1vgcMqFTZvePUyVboCGyrPQ+YYtiPZBuvC0hHC/IwOpBMAoSSwY5clqzdwGAvVajvEHOOM15LuwPG0Av2l9BbQiasNxIzgf2h6XIiHiRFja4M52XYiGKByY0MFmDCJdUalibtcm+YypRcBd7mwz6a3fV5rBV1HnqZ4Ta9Ru1fSy0q9I8VK7lTdrPsOvlOkpDjLEBfZ6P0LrMGnZba71GtX6q7u40VPmFIKnH6HcsUAxrS+QKQisVU409CZqmVEQkOs1gqu0oMypM2+3y+2cjwJQ5dz5yOdKIn8dA7TOU9qnIWZstr4B7rKjwNLqZjn7r9hA1i2IK5/f1MuVRP4n/yUacfTjRnDCdN5tG/JbNkCEeTStE05e4ja6Tz+LcL6EY4NMhhXUfZH8WMo6RJk5Q5MH2L8eD9sKfcLXWFjXYsWgTIu07lMoxmDuTafssG2UI5BSnFra9293ZfIdK9Ur3EVdLD5iBZz+yjb0TQRLm8U7CLUlRwUT4nb9z1Oh7P3gBDrYtsgVdPPovXhJwubeok369mMk+XMfUaYtcDMtaBfQeCulfUO9Qgxeo+FmprzJ3vdUlIQTDLZVrIx8QH5gPQvJ6PIpfivkoj9brByfzWJ2ShE0fOwhoPHq6WwObglJniM/kMlkjrmdaS25CFMqj3Mjj0UMth0RuchvbAnUBh112dptjiIDVDVff2U+3zHT5cukXDhddkGMB2431uNyDM52RdsYl5ngaIIM4WAzBH6b4YQm632Y87bliVi/LuzIjgm4LDzNf1XNrB9bXtqqPhwY2CtDPCqi1HyUKkc7xEjGrzsmXQfC1CD2fjM5kQk4kit1m1jM2uuqwodS2bUQlzrtF99tvjj5Taez3/KFllBgd7DWpA1p7GYItUGDH4hWvDnfBbs2uvc6Fp+exGWRbSfv5EynbRJWXex8gBDvOuJ2RCPBezLWG1ZuahOY/gu5GZylQVbYOgZ3QzEVNaDsQAJ9uYXoZraOLJuP+IIa1dKBx3eexlqqemhY6s1T4niqtFx60yBQQD9S+ifVnhd2ZEw8/DMR9qvxbEVykGLY8diWYn0vB2bjcrnDxCrjXbl3tX2LjKdHdDIceL/8B2mj33SGLG63PQ3LoTq2fDPPbjQppiXhNUdx2I2VaqCLkN5hpz/56bnCMbV6nRjIesvn6Ibs6HSjT47gdC2CsBYI35WOj4uivq1+fIdbkl8ihjAuvwk2IWwMk7ViZahPa2eOt00RhWuL07Au5U48yZAy9UR8dBrGS+mbShWZZsroE0/Y+B+0FqKAmtX9QSuQ61zhih8NmqEvSWfCGzIn7+kBYZNxkQozRda2G6wvr9PTFV4wOLMxyBnzKeTYr43vWvUvtHue91tBbWbKWyka4l561JxrbHWbzTpvv1BfOCi+Lf8Yen4zoJYOUSb6PYSZoGmNoqU7Rr6SYHakMKbwWRklBA+v15XwRDdV7c7bz2wk++xc/8djOa3WmhjwIGTO9xijKkTfSpS1jE+9u/JN8WKrcR5m8oF5z9TgsyUB6z7oLjOy/rQRbkbYYse4EbHTpUkFSmn5Uj5il6PQVJKaN9Q+XHQlWfjfY0KJ+RwDda9gji9I3t4JmUkDeUeRD/Vuq31zw0Dzu1svHFBRPDUwllKCWRweQh9jNpPcLFr9/NdeFX/Y4LMHKOgNdGaE5dcyToxsUMKHsO1vbaTYH5crQV6ah6C2oCBF7y+gSAd+JFLzEa2dOo5CeytqdaKOgfls7mweofRMk/Vm1ElkwEM/JXSeIgJXNC6mYCQ6T2goPL1fYJOL04NAO25l/mxLSOsu1kRoCrGKM53xMt6btT/WAz+AoFvqqc1DcE300To7lRMMMfwQt/nEFM0yRwWECbT1H8/Xpe362GKXm7sNzcKbRMjC1KhAsUNeQ5Dsonx9NsH9fOl+4goMGzbZpkN0qwGCYjHnLL4jahH2doeepRriLhah2gpT5M36s45sk1I0f8UrBn+0Ci8DP+tvqChIhpES92fUFGzalKbLaEt9TuPRTYNpvMSMyIgN3uKMM2EWdiwvh4EC8sRPw6KbjV4zHOoOnOBY+Vu9MYBiG+L1IEJbNbNC7tA6xq6p3FtlY7Q1fbWIrCXk1rZetg6FjPRHWwd6e1O3ZZ0Bp8Vqe3iKJe+9INATeN4SLCjGNQ4HhyeubYwEdH17vZdy5m9Oi7am6VJR85SGmWXBldIL7TxgarpYkC/cwKkhRRalYRz+Ukl069RLNzX0YY6qxzbZyuZc2FaSbt61V4HdF5g/UuMdTdoGZXVQJIaLfJDg+LDTGFDPRN7y1CqqYeBncsW/NzFuGt9rPoZH3lCCm+yqHN5XzvhDL2L5He24H1avUOU9EpWqpMxljus8x913amqarKUldoq0EeDv86X8NsKl/3CcF4xQQUQ7fe25G5gqwgXiSHc1qYg39XBi3p5yHaJRco3jiLsKqniJ1rQUHvC5REGbFhmyWNCjQNvsc3VKr+GXTVymlpMhjNHUUddzQ2mJowACFXRBDAtgytulNCNdyJDEuTNtE7pZbMmmAtmnxjliPm++OhvGv144Oox16LKIrAsXfI3LvNVWspoHrj1qeulqt7971M7uPf4hQb0ov2hi3adIrk3POHJd0cLr7oOVNJelJo65O02ck52ntS/KbYLbHj8guNJ9Far7Z6KslIE8lTdV2/INhWjj3ZScbzjPCnia7Gu6Tu+TnrVdzxLbKRMxSnbEQ0Rrd5JVjsEVRPMAJIe5ARKPczbLDbnI5Uy0VcnqttAs1D5qhC7BWfhrAOJI01YJzyQlvaXODffvHCjiTpBfL5y8WeKnztenhNbh/C23IjFVPfxcENoPUVs1i0oMn6Yr3tCtsEcwbbCFuPwL3rZMqxsh0+T2RYJqNdGuCwjTTIZPR7sD/zx/uq2DG586WJlDHqOxWWwdmVCorbEz3XuelShV+kR5pUYvtb8sh+vCvvP/k8+Pilaj+pFBmwGUHMEXi+F3/UKJWPa/+2jjXToiT+Pl6gYPP3rI6SfW5d+U5Jo5yEN5K28+kZ5e6hI1mpW4uQ/oSHZjsURWnxmlgtWEBuLhdtoweooO380ClDmo6B6sW5fM+cBT0Al/u7ykxfMaePI2vMLiXZ9NRsjujLHoP4wYd6z102QHs32j2N9AA6YasBj6bnBQbObfLdaYiJVzNc+eEinYsOvGHZKByqmfwgP69tdrvyIfwUMlMk/JwjBkdWQquF8+MHJ4QKclPxL3c5cM66zJ0UJ3f13v09gkdIk0hS5/humgdOF7/tiao3pOnN3UIBVJc8XqT3imIwZm3hPYoQPU3lcV69L5sKwMcrhEq3KQAZbpOl8X2qgTzWsT0k7gA11a9nmzKFcJ21rFkEg1N58wBVuA/Yn6pHZTJIU7jiTPIF5N9zf2EOuwDGeU5A4oe03bNRGi4+0O6o+BzqmkfavfCtRM938sAL/LoZA9ySmnCt1pTRER9BwKHWrqwjvu+58hHsdr7yLXQLp84JSX3Iddr7qak8dN76sjDAK1dnIYisA0Zrq1xEByU5FIqts5DbClwsgvPmOczqEgLnxOJ/Zu0GrlVLZmAgflHWpVqR6kIZ/Cn7+dxzcUR3kOXp/BZls5VkC6jDg31ze5jbw3xa4mrK5JShmSs9uE/pkBcLRZUQWF0SoCrpBANlPEzIN8w9ofzBZYU04kOsEDb0b/8v8ENqdoghdjfMOqFTCpimy71b8UM+sfhIfMGfmh71C6YK8uhX2s6G5Vn56wi9gTbYDeMQ+5jndhPC/o/Jz4kdSyf9ExUBipTqEEFB69o+jTjqx2A1XU/VmtnfaQX9fGSFKqgjlQIfZG5jMoD9+v3xgaR2ylmjGmk0zygGEWcOirKWTXucM5E/Z+7GVb1uvqcPoDjneSsILXAaexDGIcsyrWxXEc83FVwgLEhDJMNWjV01GuACoId54yJp10uImHpr+20Zm/huwyT29aC7ZYwl071hI99jTdLe4tO9lGHTV+snJ8RBqyJvhMZ6a8orHDxmJxRYVfDukiLzkjqcJ8czWVYoGlY1hDVEkNvAyWKE0XK6RScjzarqohhzO+BFBq01DcysLIqA25+rLkxVjncnE7509b5w/rDwMwZ/p7xnOXD7tHTlLjtGP5/k4yEXD5P41NVq3bU8uhqQIcijFLaOZpzK4zWBr7jKEFsk7iEZa3NC84FrKh9RgZN5LoarM2R69GSbqSuWif+mxaJps9F80oCXMxIEIN3C8ebH5k1v2T0C+S/q7Im+v7qtfhEYklzfAzE5uBywTkFvqt/YPgAC7oqvDAsa6lEl/VHs7+zvlGl6lXur3ayUSVIdUrWljzRv5BhWL9OpwzMaud45QhhBAE1bHiWIqHpgA6vcCpHshHPIEOPktLabRolBDqtHsOTFIpiC2P4K1kvbgAIOa6EVeIefVl8dZFauHMShIbGQCS4U5a32pSd6JM3f/tFsvnvs9Eo8qSmL6aqcrd70SdtDGX4QG+mI4iTis8lSQVITyCRr1GHSSIJ8SA04n1/70UBPm5c4+l6WrxrisnZ7PpwEs8flRuMePYtouaRC5IOUncpdK6Q808C7ozQLs/KgU5yUktTn0PE4BOdiqx73WzP1wx+NPQoZScMgcAdUMMtF0OnSKKgltKk1gBrjMYnMkoKGXeH+MU4+9vR9T8LX6HUf3rUlF56SsEyNGHZlv89qnuLIj265eIEhifJVAN86zykK65btODmGOe+Lb+4LSCrEhWBvD38AzOHLnSusxUYCY5uwBldCGqgXyk4sG4hXFipXFU+VOgxjljWpqpSkeM8e97W4Olz649c92ebTlZkfjB1S7/PSHVMXi4ryIvH0iIWuekzY3IuEIDIzDLbn8v2ukMgPbIphcYMv80WOrKdnjxRhAe8YpUMDaH04r1b6LKsSuiKaKSRPAO1QvTcEWPtljnXP1YBSJljszuNNsmxxUU6/hyaCJj2TxWwvaDH7IdoAQ7hR1rkPDLr0g8e5qIMrwRdSi1Sa7BFPXFqswTNXt7hyKbiWdNEGimiMx/k//FUT9HNvxGXmulAbqWi0E1O6zQyWagEOeJ/7cEM8XJLg4QU/BJN2Fk8tmNpNcO7VdQ6VnU9wRH7Zb7dUObeLxMcbEQ7qwYyMff623MCkXOVwDnBtS5d3SK1JTxGG5GK/vUyx4bgXklbheadDp1wc/gJpXE2x7ZNNV70E0Z26fOf0IQwMRXeh8GSnejT4M4F92VAjicEU7RH6VN5N6SsiUjeBlF5RpfHej3Yvz8+Rz11oF6HkwXGCg9bRqyA8GfMLWoTUAPLZNUymqK/ihhdLPgSoTtPxkigfCNcv7TGWbjMFNvfN5WQ5mGhEnWRnixyK8mg7H77aCp7qZgtwiZ9escg0oIUUqnDI21c5vE9aS892ZtnG5bv8fOT+mNrDzBdr1ade46sICXkrvGzNavuZIvuX5/TVRPDL5wum6AllGfM8SQHur2Se+oWzY5Lo4JReN8Llra20Cehv/bWINCSKqU27bQZV3L2oCyKFXldRKVBD1ME4lr6/XF4KSPFY408DyAgbZdql+KOlZsLnUGIVU1d/bd1yQbOwuc20Pl0hRA3A1jwZyyC9WLLdFwK3Yys191C70J+9Rm4/jWlbV48T+1SawHlJtugYeewxzsJiK9Aq77RWK/h9Em4a2y5TB63ySh30U9XLVH177KDn+bpSTClrkjRXZKHxOjZ0NIFOuAdKbQht9ztiwO4KEcbSY42stcoJWZehqAyLcYrhtG5Sv6IsbvSz31E4wM2Efq0lXuD4vXLjMhRk5Qs6amRDrcpolD/BWdNDpFYa9F/TgOvAp+ceDTXZSUmT6bNz+kbjspEhhI40YxKeZI/WS6M9LEUr5MJRnTlWqmN9r4J34MpmdNk2uOFTNCf9At2QwHDzqw4bgmdBNjzxUcmq2A2a73SsI6PDSbQnnV6fePlh1YJQ8KYl7TvcBzTjtgYoU0VXEzSJJdvqa7pBVMymWPObIbN3Pyj3R+vg9fzG66QRyZKvaJMtXbNO2AX4U4mEDQ7eTQmwoYMIDC47dGJ393RXxOnBaaIEtW+d1prgjzxD3uduECKMMQPdN4uIuyFu/9p3G6n+DJuRmnhecrUyXkqpE0+bXOjYte7Tyq0HIxRKpFsEcChXqeEpQ/ta7WRx47bzkiG9xQEQomtC5X2qelqUb6C8nJuR7G6VNRE20zCv5ph2d/HMDUMfPqVO6Pr0VUM+Ud9H+QWoSikf7m36Vdsqr3dTZFgl6LTfD/NsMkuf249ByiUniZxkNjXfWZqf0Oyjif2Gt1wUdTPbfvyJ0LFObaaqXSWFHo6tI1JI00n/QeCKNOzyd85e3NuIxDFalcc6YgutXOXo8Xvcly1CSmS18/DDH4GAqVOurnoYKGRu3W84Wd0CtwstdJIFTyg5RwyzUx6lygy03DG8HsfNtBdXOL73jmyKg5WopLdirplCz604SQ+Phir2adkGRYWX1esR1XISAWhVLSakRKxPHPWPSPvuiKxprURO5tPDVUhjFtGEyoNuSEntSqUt95w7BsJS8fsbaprHwWuyGfLA+6gvoUph9lTwHEgyQVF0MgjaDx8AtVO59z5deNPh9B6309zcesXmiNUOseFzY5wSgiqIhSAceLrq2UldbnGZW1aAXE97ulZEwSf768xdNmp0aZFA00gIJWbU0gjzRq0CP0C0ht+4PE0xmQFl5eQwE2UootrPcbbAW3sjvSg1BLGFWrHkz3H55X7YqR7jWASuT8f5qWfVwbhGoxYyQqfTsrEizz54Vk6qKh6/C7oYV7d9n55dTD6F7N+1wmvzt9Gm9o89bvik4tZIQ9cn+aoDnvmH1UQmdFkXpz1oHBPJwqY/6vlp2sMDUInjwwVCP5rOwabsXG7C+eg8bNfffKkxlaXuXIe8T83jHGhTaLp7R4ho6vHYv8wejYzNK6VZZomn74HMQTDoysFI6RCI54dyPNo2pHrtHR8Gu4R9dHEYVAOmrh1UfKVHoo/75dMOU/1O3JCJcUWX5Jtt0CPEyE7mGVtBrS2F+JW+iFvjedjISqe3EQzL3JPXA9HD5XmHwGKFRAFT5StnYWTz590z2eWDL0UkbdMeGKAi9akZgID7EqEKS3s3vOSqCTY52uAz8/maIh9A3i33U9GOKWZLNsVOWPkJHPYW5CA8dHmVrakAj3oc2xcSb8xi3mmlisvceWYMYzFDwuxnnpn37pIekNTHnHSQRrhQwxL+Mb9EHGKu6llrDfFcY6OhNTt2riW/wTI6kkQoUek/uBwBObkrabtIm+islxrgSl+5HPsroPymit3GTsUxPx9oX7o60GZJaZNAMP+arLl1Z2n2p3cX+0xULbVPYR2sHDloHu/ds2zFyW89hbiD4I8eD5C6WxKeRt/MJzeIfhGCGNMTCf+BDK04boOeKS4fQ493LMCTD6Y4jQT8pIwN3LJDtqesJzhQiGTGkCM1GCjWx0UvhKcUq8BodsgR2RwPpOgUqVS7+/TBgSPxWY9C3dmXOEy8Bz3CTuFJuQA6LHKEuKXYiP0cbGHNF5hrZulCKeXFsdOldRCMYBf1E96IyxQkKZ5C0r1o9uOUvUkiu+Z1poGdYwopPZ68cEcccZcHTUAth4vsh7lXQkQ73UbAwZWVQzB8niZeJYoDJzEvEuZkVaTVMaViRFPeno8mj63pbm5T0XvIeJF9MlQaoHWzwNfRkpr7Ty9GUJhmYyUVvQMVM6HBEiSPnun7tnN2Q3uLn2DbD/sn5Zvbzm0s8HwkpA5grm/cf/EaGr/ofqqSyu9BI5pahY3lHvw/ERz59Q0KZW5kc3RyZWFtCmVuZG9iagoyODcgMCBvYmoKPDwKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9Gb250TmFtZSAvWU1YQlVMK1RUMTFvMDAKL0ZvbnRCQm94IFstMjAgLTE3NyA1NjkgNjc5XQovRmxhZ3MgNAovQXNjZW50IDY3OQovQ2FwSGVpZ2h0IDY3OQovRGVzY2VudCAtMTc3Ci9JdGFsaWNBbmdsZSAwCi9TdGVtViA4NQovQ2hhclNldCAoL2cxOC9nMjQvZzI1OC9nMjcxL2cyNzIvZzI4Ni9nMy9nMzQ2L2czNDkvZzM2MS9nMzY3L2czNzQvZzM4MS9nMzk2L2c0L2c0MTAvZzQzNy9nNDU1L2c2OS9nOTQpCi9Gb250RmlsZTMgMzIxIDAgUgo+PgplbmRvYmoKMjg4IDAgb2JqCjw8Ci9UeXBlIC9FbmNvZGluZwovQmFzZUVuY29kaW5nIC9XaW5BbnNpRW5jb2RpbmcKL0RpZmZlcmVuY2VzIFsxIC9nNjkgL2cyNTggL2c0MTAgL2czNDkgL2czODEgL2czNzQgL2czNjcgL2czIC9nNAovZzQzNyAvZzM0NiAvZzM5NiAvZzQ1NSAvZzI0IC9nOTQgL2cyNzEgL2czNjEgL2cyODYgL2cyNzIKL2cxOF0KPj4KZW5kb2JqCjI4OSAwIG9iago8PAovVHlwZSAvRm9udERlc2NyaXB0b3IKL0ZvbnROYW1lIC9KRERaUVYrVFQxMm8wMAovRm9udEJCb3ggWy0yMCAtMTc5IDc3MCA3MThdCi9GbGFncyA0Ci9Bc2NlbnQgNzE4Ci9DYXBIZWlnaHQgNzE4Ci9EZXNjZW50IC0xNzkKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDExNQovQ2hhclNldCAoL2cxMDAvZzEwMDYvZzEwMTEvZzEyMi9nMTcvZzE4L2cyNC9nMjU4L2cyNzEvZzI3Mi9nMjgvZzI4Mi9nMjg2L2cyOTYvZzMvZzMzNi9nMzQ2L2czNDkvZzM2MS9nMzY3L2czNzMvZzM3NC9nMzgxL2czOTMvZzM5NS9nMzk2L2c0L2c0MDAvZzQxMC9nNDM3L2c0NC9nNDQ4L2c0NTQvZzQ1NS9nNjgvZzY5L2c4NDUvZzg3Ni9nOTAvZzk0KQovRm9udEZpbGUzIDMyMiAwIFIKPj4KZW5kb2JqCjI5MCAwIG9iago8PAovVHlwZSAvRW5jb2RpbmcKL0Jhc2VFbmNvZGluZyAvV2luQW5zaUVuY29kaW5nCi9EaWZmZXJlbmNlcyBbMSAvZzI0IC9nMjU4IC9nNDEwIC9nMyAvZzI3MSAvZzM5NiAvZzI4NiAvZzI3MiAvZzM0NgovZzI4MiAvZzM4MSAvZzQzNyAvZzkwIC9nMzQ5IC9nNDQ4IC9nNDAwIC9nMzYxIC9nNjkgL2cyOTYKL2c0NTUgL2czNzQgL2czNjcgL2c0IC9nMTcgL2c5NCAvZzM3MyAvZzY4IC9nMzM2IC9nMzkzCi9nMTIyIC9nODc2IC9nNDU0IC9nODQ1IC9nMTAwIC9nMTggL2cyOCAvZzM5NSAvZzEwMTEgL2cxMDA2Ci9nNDRdCj4+CmVuZG9iagoyOTEgMCBvYmoKPDwKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9Gb250TmFtZSAvRkVTWFFRK1RUMTNvMDAKL0ZvbnRCQm94IFstMjAgLTE3NyA3MjcgNjc3XQovRmxhZ3MgNAovQXNjZW50IDY3NwovQ2FwSGVpZ2h0IDY3NwovRGVzY2VudCAtMTc3Ci9JdGFsaWNBbmdsZSAwCi9TdGVtViAxMDkKL0NoYXJTZXQgKC9nMTgvZzI1OC9nMjcxL2cyNzIvZzI4Mi9nMjg2L2czL2czNDYvZzM0OS9nMzYxL2czNzMvZzM3NC9nMzgxL2c0MDAvZzQxMC9nNDM3L2c0NDkpCi9Gb250RmlsZTMgMzIzIDAgUgo+PgplbmRvYmoKMjkyIDAgb2JqCjw8Ci9UeXBlIC9FbmNvZGluZwovQmFzZUVuY29kaW5nIC9XaW5BbnNpRW5jb2RpbmcKL0RpZmZlcmVuY2VzIFsxIC9nMTggL2czODEgL2czNzMgL2c0MzcgL2czNzQgL2czNDkgL2cyNzIgL2cyNTggL2c0MTAKL2czIC9nNDQ5IC9nMzQ2IC9nMjgyIC9nNDAwIC9nMjcxIC9nMzYxIC9nMjg2XQo+PgplbmRvYmoKMjkzIDAgb2JqCjw8Ci9UeXBlIC9Gb250RGVzY3JpcHRvcgovRm9udE5hbWUgL0ZaS0NOTitUVDQzbzAwCi9Gb250QkJveCBbLTIwIC0xNzcgNjEzIDY3OV0KL0ZsYWdzIDQKL0FzY2VudCA2NzkKL0NhcEhlaWdodCA2NzkKL0Rlc2NlbnQgLTE3NwovSXRhbGljQW5nbGUgMAovU3RlbVYgOTEKL0NoYXJTZXQgKC9nMTgvZzI0L2cyNTgvZzI3MS9nMjcyL2cyODYvZzMvZzM2MS9nMzY3L2czNzQvZzM4MS9nMzk2L2c0MTAvZzQzNy9nNzUvZzg3L2c5NCkKL0ZvbnRGaWxlMyAzMjQgMCBSCj4+CmVuZG9iagoyOTQgMCBvYmoKPDwKL1R5cGUgL0VuY29kaW5nCi9CYXNlRW5jb2RpbmcgL1dpbkFuc2lFbmNvZGluZwovRGlmZmVyZW5jZXMgWzEgL2cyNCAvZzI1OCAvZzQxMCAvZzMgL2c5NCAvZzQzNyAvZzI3MSAvZzM2MSAvZzI4NgovZzI3MiAvZzE4IC9nMzgxIC9nMzc0IC9nMzk2IC9nMzY3IC9nODcgL2c3NV0KPj4KZW5kb2JqCjI5NSAwIG9iago8PAovVHlwZSAvRm9udERlc2NyaXB0b3IKL0ZvbnROYW1lIC9DQ01YU1orVFQ0NG8wMAovRm9udEJCb3ggWy0yNiAtMTc3IDcyNSA2OTFdCi9GbGFncyA0Ci9Bc2NlbnQgNjkxCi9DYXBIZWlnaHQgNjkxCi9EZXNjZW50IC0xNzcKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDEwOAovQ2hhclNldCAoL2cxOC9nMjQvZzI1OC9nMjcxL2cyNzIvZzI4Mi9nMjg2L2cyOTYvZzMvZzMzNi9nMzQ2L2czNDkvZzM2MS9nMzY0L2czNjcvZzM3My9nMzc0L2czODEvZzM5My9nMzk1L2czOTYvZzQvZzQwMC9nNDEwL2c0MzcvZzQ0OC9nNDQ5L2c0NTQvZzQ1NS9nNDcvZzY5L2c3NS9nODUzL2c4Ny9nODcyL2c4NzMvZzkwL2c5NCkKL0ZvbnRGaWxlMyAzMjUgMCBSCj4+CmVuZG9iagoyOTYgMCBvYmoKPDwKL1R5cGUgL0VuY29kaW5nCi9CYXNlRW5jb2RpbmcgL1dpbkFuc2lFbmNvZGluZwovRGlmZmVyZW5jZXMgWzEgL2c0IC9nNDAwIC9nMzY0IC9nMyAvZzI0IC9nODcgL2c3NSAvZzI4MiAvZzI4NgovZzQxMCAvZzI1OCAvZzM0OSAvZzM2NyAvZzkwIC9nMzk2IC9nNDQ4IC9nMzkzIC9nMzgxIC9nMjcyCi9nMzc0IC9nMzM2IC9nNDM3IC9nMjcxIC9nMTggL2czNDYgL2cyOTYgL2czNzMgL2c0NTUgL2c4NzIKL2c0NDkgL2c4NzMgL2c2OSAvZzM5NSAvZzQ1NCAvZzk0IC9nMzYxIC9nODUzIC9nNDddCj4+CmVuZG9iagoyOTcgMCBvYmoKPDwKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9Gb250TmFtZSAvSFVKSFRXK1RUNDVvMDAKL0ZvbnRCQm94IFstMjAgLTE3NyA1NzAgNjc5XQovRmxhZ3MgNAovQXNjZW50IDY3OQovQ2FwSGVpZ2h0IDY3OQovRGVzY2VudCAtMTc3Ci9JdGFsaWNBbmdsZSAwCi9TdGVtViA4NQovQ2hhclNldCAoL2cxOC9nMjQvZzI1OC9nMjcxL2cyNzIvZzI4Ni9nMy9nMzYxL2czNjcvZzM3NC9nMzgxL2czOTYvZzQxMC9nNDM3L2c5NCkKL0ZvbnRGaWxlMyAzMjYgMCBSCj4+CmVuZG9iagoyOTggMCBvYmoKPDwKL1R5cGUgL0VuY29kaW5nCi9CYXNlRW5jb2RpbmcgL1dpbkFuc2lFbmNvZGluZwovRGlmZmVyZW5jZXMgWzEgL2cyNCAvZzI1OCAvZzQxMCAvZzMgL2c5NCAvZzQzNyAvZzI3MSAvZzM2MSAvZzI4NgovZzI3MiAvZzE4IC9nMzgxIC9nMzc0IC9nMzk2IC9nMzY3XQo+PgplbmRvYmoKMjk5IDAgb2JqCjw8Ci9UeXBlIC9Gb250RGVzY3JpcHRvcgovRm9udE5hbWUgL1VMQUNZSytUVDQ2bzAwCi9Gb250QkJveCBbLTI2IC0xNzcgNzI1IDY5MV0KL0ZsYWdzIDQKL0FzY2VudCA2OTEKL0NhcEhlaWdodCA2OTEKL0Rlc2NlbnQgLTE3NwovSXRhbGljQW5nbGUgMAovU3RlbVYgMTA4Ci9DaGFyU2V0ICgvZzE3L2cxOC9nMjQvZzI1OC9nMjcxL2cyNzIvZzI4L2cyODIvZzI4Ni9nMjk2L2czL2czNDYvZzM0OS9nMzYxL2czNjcvZzM3My9nMzc0L2czODEvZzM5NS9nMzk2L2c0L2c0MDAvZzQxMC9nNDM3L2c0NDgvZzYyL2c5MC9nOTQpCi9Gb250RmlsZTMgMzI3IDAgUgo+PgplbmRvYmoKMzAwIDAgb2JqCjw8Ci9UeXBlIC9FbmNvZGluZwovQmFzZUVuY29kaW5nIC9XaW5BbnNpRW5jb2RpbmcKL0RpZmZlcmVuY2VzIFsxIC9nNCAvZzI3MiAvZzI4NiAvZzQwMCAvZzMgL2czOTYgL2czOTUgL2c0MzcgL2c0MTAKL2cxOCAvZzM4MSAvZzM3MyAvZzM3NCAvZzM0OSAvZzI1OCAvZzI0IC9nMjgyIC9nMjggL2czNjcKL2cyNzEgL2c5MCAvZzI5NiAvZzQ0OCAvZzM0NiAvZzk0IC9nMzYxIC9nNjIgL2cxN10KPj4KZW5kb2JqCjMwMSAwIG9iago8PAovVHlwZSAvRm9udERlc2NyaXB0b3IKL0ZvbnROYW1lIC9NQ0VGRlgrVFQ1NG8wMAovRm9udEJCb3ggWy0yMCAtMTc3IDU2OSA2NzldCi9GbGFncyA0Ci9Bc2NlbnQgNjc5Ci9DYXBIZWlnaHQgNjc5Ci9EZXNjZW50IC0xNzcKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDg1Ci9DaGFyU2V0ICgvZzEwMC9nMTgvZzI0L2cyNTgvZzI3MS9nMjcyL2cyODIvZzI4Ni9nMy9nMzQ2L2czNDkvZzM2MS9nMzY3L2czNzQvZzM4MS9nMzk2L2c0MTAvZzQzNy9nNDU1L2c4Ny9nOTQpCi9Gb250RmlsZTMgMzI4IDAgUgo+PgplbmRvYmoKMzAyIDAgb2JqCjw8Ci9UeXBlIC9FbmNvZGluZwovQmFzZUVuY29kaW5nIC9XaW5BbnNpRW5jb2RpbmcKL0RpZmZlcmVuY2VzIFsxIC9nMjQgL2cyNTggL2c0MTAgL2czIC9nOTQgL2c0MzcgL2cyNzEgL2czNjEgL2cyODYKL2cyNzIgL2cxOCAvZzM4MSAvZzM3NCAvZzM5NiAvZzM2NyAvZzEwMCAvZzM0NiAvZzM0OSAvZzI4MgovZzg3IC9nNDU1XQo+PgplbmRvYmoKMzAzIDAgb2JqCjw8Ci9UeXBlIC9Gb250RGVzY3JpcHRvcgovRm9udE5hbWUgL1JYWFNWVytUVDU1bzAwCi9Gb250QkJveCBbLTI2IC0xNzcgNzI1IDY5MV0KL0ZsYWdzIDQKL0FzY2VudCA2OTEKL0NhcEhlaWdodCA2OTEKL0Rlc2NlbnQgLTE3NwovSXRhbGljQW5nbGUgMAovU3RlbVYgMTA4Ci9DaGFyU2V0ICgvZzE3L2cyNC9nMjU4L2cyNzEvZzI3Mi9nMjgvZzI4Mi9nMjg2L2cyOTYvZzMvZzM0Ni9nMzQ5L2czNjEvZzM2Ny9nMzczL2czNzQvZzM4MS9nMzk1L2czOTYvZzQwMC9nNDEwL2c0MzcvZzQ0OC9nNDU1L2c2Mi9nODcvZzkwL2c5NCkKL0ZvbnRGaWxlMyAzMjkgMCBSCj4+CmVuZG9iagozMDQgMCBvYmoKPDwKL1R5cGUgL0VuY29kaW5nCi9CYXNlRW5jb2RpbmcgL1dpbkFuc2lFbmNvZGluZwovRGlmZmVyZW5jZXMgWzEgL2c4NyAvZzM4MSAvZzM5NiAvZzQxMCAvZzI1OCAvZzI3MSAvZzM0OSAvZzM2NyAvZzQ1NQovZzMgL2cyODYgL2czOTUgL2c0MzcgL2c0MDAgL2c5MCAvZzQ0OCAvZzI4MiAvZzI5NiAvZzM0NgovZzI0IC9nOTQgL2czNjEgL2cyNzIgL2czNzQgL2cyOCAvZzM3MyAvZzYyIC9nMTddCj4+CmVuZG9iagozMDUgMCBvYmoKPDwKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9Gb250TmFtZSAvT0paQUpLK1RUMTVvMDAKL0ZvbnRCQm94IFswIC0xNzkgODU4IDY4NV0KL0ZsYWdzIDQKL0FzY2VudCA2ODUKL0NhcEhlaWdodCA2ODUKL0Rlc2NlbnQgLTE3OQovSXRhbGljQW5nbGUgMAovU3RlbVYgMTI4Ci9DaGFyU2V0ICgvZzExNi9nMTcvZzE4L2cyNTgvZzI3MS9nMjcyL2cyODIvZzI4Ni9nMjk2L2czL2czMzYvZzM0Ni9nMzQ5L2czNjQvZzM2Ny9nMzczL2czNzQvZzM4MS9nMzkzL2czOTUvZzM5Ni9nNDAwL2c0MTAvZzQzNy9nNDQ4L2c0NDkvZzQ1NS9nNDcvZzg3L2c5MC9nOTQpCi9Gb250RmlsZTMgMzMwIDAgUgo+PgplbmRvYmoKMzA2IDAgb2JqCjw8Ci9UeXBlIC9FbmNvZGluZwovQmFzZUVuY29kaW5nIC9XaW5BbnNpRW5jb2RpbmcKL0RpZmZlcmVuY2VzIFsxIC9nMTE2IC9nMzQ5IC9nNDEwIC9nMzQ2IC9nMjgyIC9nMzk2IC9nMjU4IC9nNDQ5IC9nMwovZzI4NiAvZzM5NSAvZzQzNyAvZzQwMCAvZzE4IC9nMzgxIC9nMzczIC9nMzc0IC9nMjcyIC9nOTAKL2cyOTYgL2czNjcgL2c0NDggL2c5NCAvZzM5MyAvZzMzNiAvZzM2NCAvZzQ1NSAvZzQ3IC9nMTcKL2c4NyAvZzI3MV0KPj4KZW5kb2JqCjMwNyAwIG9iago8PAovVHlwZSAvRm9udERlc2NyaXB0b3IKL0ZvbnROYW1lIC9KVEdWU1IrVFQxNG8wMAovRm9udEJCb3ggWy0yMCAtMTc3IDU2OSA2NzldCi9GbGFncyA0Ci9Bc2NlbnQgNjc5Ci9DYXBIZWlnaHQgNjc5Ci9EZXNjZW50IC0xNzcKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDg1Ci9DaGFyU2V0ICgvZzE4L2cyNC9nMjU4L2cyNzEvZzI3Mi9nMjg2L2czL2czNjEvZzM2Ny9nMzc0L2czODEvZzM5Ni9nNDEwL2c0MzcvZzk0KQovRm9udEZpbGUzIDMzMSAwIFIKPj4KZW5kb2JqCjMwOCAwIG9iago8PAovVHlwZSAvRW5jb2RpbmcKL0Jhc2VFbmNvZGluZyAvV2luQW5zaUVuY29kaW5nCi9EaWZmZXJlbmNlcyBbMSAvZzI0IC9nMjU4IC9nNDEwIC9nMyAvZzk0IC9nNDM3IC9nMjcxIC9nMzYxIC9nMjg2Ci9nMjcyIC9nMTggL2czODEgL2czNzQgL2czOTYgL2czNjddCj4+CmVuZG9iagozMDkgMCBvYmoKPDwKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9Gb250TmFtZSAvRktLS0NKK1RUNTlvMDAKL0ZvbnRCQm94IFstMjAgLTE3NyA1NzAgNjc5XQovRmxhZ3MgNAovQXNjZW50IDY3OQovQ2FwSGVpZ2h0IDY3OQovRGVzY2VudCAtMTc3Ci9JdGFsaWNBbmdsZSAwCi9TdGVtViA4NQovQ2hhclNldCAoL2cxOC9nMjQvZzI1OC9nMjcxL2cyNzIvZzI4Ni9nMy9nMzYxL2czNjcvZzM3NC9nMzgxL2czOTYvZzQxMC9nNDM3L2c5NCkKL0ZvbnRGaWxlMyAzMzIgMCBSCj4+CmVuZG9iagozMTAgMCBvYmoKPDwKL1R5cGUgL0VuY29kaW5nCi9CYXNlRW5jb2RpbmcgL1dpbkFuc2lFbmNvZGluZwovRGlmZmVyZW5jZXMgWzEgL2cyNCAvZzI1OCAvZzQxMCAvZzMgL2c5NCAvZzQzNyAvZzI3MSAvZzM2MSAvZzI4NgovZzI3MiAvZzE4IC9nMzgxIC9nMzc0IC9nMzk2IC9nMzY3XQo+PgplbmRvYmoKMzExIDAgb2JqCjw8Ci9UeXBlIC9Gb250RGVzY3JpcHRvcgovRm9udE5hbWUgL0dOT0xYSytUVDVBbzAwCi9Gb250QkJveCBbMCAtMTc3IDcyNSA2OTFdCi9GbGFncyA0Ci9Bc2NlbnQgNjkxCi9DYXBIZWlnaHQgNjkxCi9EZXNjZW50IC0xNzcKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDEwOAovQ2hhclNldCAoL2cxNy9nMTgvZzI0L2cyNTgvZzI3MS9nMjcyL2cyODIvZzI4Ni9nMjk2L2czL2czNDYvZzM0OS9nMzY3L2czNzMvZzM3NC9nMzgxL2czOTUvZzM5Ni9nNDAwL2c0MTAvZzQzNy9nNDQ4L2c0NTUvZzYyL2c4Ny9nOTApCi9Gb250RmlsZTMgMzMzIDAgUgo+PgplbmRvYmoKMzEyIDAgb2JqCjw8Ci9UeXBlIC9FbmNvZGluZwovQmFzZUVuY29kaW5nIC9XaW5BbnNpRW5jb2RpbmcKL0RpZmZlcmVuY2VzIFsxIC9nOTAgL2cyODYgL2cyNzIgL2c0MTAgL2czNDkgL2cyOTYgL2c0NTUgL2czIC9nMzk2Ci9nMzk1IC9nNDM3IC9nNDAwIC9nMTggL2czODEgL2czNzMgL2czNzQgL2cyNTggL2czNDYgL2czNjcKL2cyODIgL2c2MiAvZzI3MSAvZzQ0OCAvZzg3IC9nMjQgL2cxN10KPj4KZW5kb2JqCjMxMyAwIG9iago8PAovVHlwZSAvRm9udERlc2NyaXB0b3IKL0ZvbnROYW1lIC9UVFhLRFArVFQ1OG8wMAovRm9udEJCb3ggWy0yMCAtMTc5IDcyNyA2ODJdCi9GbGFncyA0Ci9Bc2NlbnQgNjgyCi9DYXBIZWlnaHQgNjgyCi9EZXNjZW50IC0xNzkKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDEwOQovQ2hhclNldCAoL2cxOC9nMjQvZzI1OC9nMjcxL2cyNzIvZzI4Ni9nMy9nMzQ2L2czNDkvZzM2MS9nMzczL2czNzQvZzM4MS9nNDAwL2c0MTAvZzQzNy9nNDQ5KQovRm9udEZpbGUzIDMzNCAwIFIKPj4KZW5kb2JqCjMxNCAwIG9iago8PAovVHlwZSAvRW5jb2RpbmcKL0Jhc2VFbmNvZGluZyAvV2luQW5zaUVuY29kaW5nCi9EaWZmZXJlbmNlcyBbMSAvZzE4IC9nMzgxIC9nMzczIC9nNDM3IC9nMzc0IC9nMzQ5IC9nMjcyIC9nMjU4IC9nNDEwCi9nMyAvZzQ0OSAvZzM0NiAvZzI0IC9nNDAwIC9nMjcxIC9nMzYxIC9nMjg2XQo+PgplbmRvYmoKMzE1IDAgb2JqCjw8Ci9UeXBlIC9Gb250RGVzY3JpcHRvcgovRm9udE5hbWUgL0ZWT0lJRCtUVDU2bzAwCi9Gb250QkJveCBbLTIwIC0xNzcgNTY5IDY3OV0KL0ZsYWdzIDQKL0FzY2VudCA2NzkKL0NhcEhlaWdodCA2NzkKL0Rlc2NlbnQgLTE3NwovSXRhbGljQW5nbGUgMAovU3RlbVYgODUKL0NoYXJTZXQgKC9nMTgvZzI0L2cyNTgvZzI3MS9nMjcyL2cyODYvZzMvZzM2MS9nMzY3L2czNzQvZzM4MS9nMzk2L2c0MTAvZzQzNy9nOTQpCi9Gb250RmlsZTMgMzM1IDAgUgo+PgplbmRvYmoKMzE2IDAgb2JqCjw8Ci9UeXBlIC9FbmNvZGluZwovQmFzZUVuY29kaW5nIC9XaW5BbnNpRW5jb2RpbmcKL0RpZmZlcmVuY2VzIFsxIC9nMjQgL2cyNTggL2c0MTAgL2czIC9nOTQgL2c0MzcgL2cyNzEgL2czNjEgL2cyODYKL2cyNzIgL2cxOCAvZzM4MSAvZzM3NCAvZzM5NiAvZzM2N10KPj4KZW5kb2JqCjMxNyAwIG9iago8PAovVHlwZSAvRm9udERlc2NyaXB0b3IKL0ZvbnROYW1lIC9IUE1VREQrVFQ1N28wMAovRm9udEJCb3ggWzAgLTE3NyA3MjUgNjkxXQovRmxhZ3MgNAovQXNjZW50IDY5MQovQ2FwSGVpZ2h0IDY5MQovRGVzY2VudCAtMTc3Ci9JdGFsaWNBbmdsZSAwCi9TdGVtViAxMDgKL0NoYXJTZXQgKC9nMTcvZzE4L2cyNC9nMjU4L2cyNzEvZzI3Mi9nMjgvZzI4Mi9nMjg2L2cyOTYvZzMvZzMzNi9nMzQ2L2czNDkvZzM2NC9nMzY3L2czNzMvZzM3NC9nMzgxL2czOTMvZzM5NS9nMzk2L2c0MDAvZzQxMC9nNDM3L2c0NDgvZzQ0OS9nNDU0L2c0NTUvZzQ3L2c2Mi9nODcvZzkwL2c5NCkKL0ZvbnRGaWxlMyAzMzYgMCBSCj4+CmVuZG9iagozMTggMCBvYmoKPDwKL1R5cGUgL0VuY29kaW5nCi9CYXNlRW5jb2RpbmcgL1dpbkFuc2lFbmNvZGluZwovRGlmZmVyZW5jZXMgWzEgL2c5MCAvZzI4NiAvZzM5NSAvZzQzNyAvZzQwMCAvZzQxMCAvZzMgL2czODEgL2cyNzEKL2cyOTYgL2czOTYgL2czMzYgL2czNzQgL2cxOCAvZzM0NiAvZzI3MiAvZzM2NCAvZzM0OSAvZzQ0OAovZzI4MiAvZzI1OCAvZzM2NyAvZzYyIC9nMjggL2czNzMgL2c5NCAvZzQ3IC9nNDU0IC9nMzkzCi9nNDQ5IC9nNDU1IC9nODcgL2cyNCAvZzE3XQo+PgplbmRvYmoKMzE5IDAgb2JqCjw8Ci9MZW5ndGggMzI4MAovRmlsdGVyIC9GbGF0ZURlY29kZQovU3VidHlwZSAvVHlwZTFDCj4+CnN0cmVhbQ0KeJzNV2tsW+d5FhNJPHEcxQmqwAGEdQWGtivQzqkdx1k6LA22LHPiLE4UW7YUWXdKMk1RFG8iKfIc8ly/7+M5PCQPb+KdFEXdL5ZkxZKcxF5qN83SpFnXbtjWXbBi2I/9GLZREpVi36G8IGi3P/0xDC8IHJzD837v5Xne5z2auvoH6jQaDdHaevrEyIkT6vVTsPqHe8N7zzXAow/Co/W/caSunv/6lyH8/OKoFrYc23i80vFY5blHK799rO6YRtPw0COPfel4y2/+1le/8a1vnz7znO7kmad0J585qfv2mdO6k8+e1j11Rnfq5DO6UydO6E49dUJ38hS+jR/gPzx9Bv/xlO7U00/rTunOPFNXV3esoVFLaB54sP7I0UeaHn702EN1Gk7DawQN0EAN0vg1okbSBDSyJqgJacIaRROpewynUfdA3V880PZgT/3VhslGkfjSQ18/0nLkyw9fOIoe8TSdaKo8eq9p/4N90669GXyXesn+qv2c4UJ/Z9+V9sHXTedNL3meh9+FZyOt2dbcW3MDGwNrI7ccd8e/5/0Y/ZQAn4Y/ynw/fW/63dXNlc2thfeLdwo/jP0U/jn80HPbetuyeXWle6l7ui31WurV8EvoeQI2Vl8gm+EW+7b3hnfDtWybt84bpgbTg6krykV4GXZ7Bx2DDoPJojdfdQyQXeQVpgO1EeCy1KF0hboS/bmr2eFp05J90X7D+y68CddDS6nFZLmQm8vPJJeVG5ENeQu+g89pamnUtTR8XGwGDOAEjuc4nuEZwStQgAQTYAKOQzcisXn9jJ8WOVGQeAlIUCZ2N7RwhVtgZulZcnoi78rZU5aoOWKUr6E+0O/qN/QZurs63yA+I7Sqbx57Z7FvWvAJJKCwbxd0/o++Uc03qPn2zlJf8D1633cf9t3zK77Zmu/DuJ3Qcd+375d97z+hBQEUECUkSqIsyWIIhZGComgSxmEUKNiCIMDLnMiLvJ9DLGKJ6hHtzp3tta3SzeJ2fBsuwQV2xjfjnfLg0ByZ8UnrpCVmipjKc+XpUr6Um0pNxYlCrBApyHm5KBXg+3CLum5dtc0ZC0OFoWRvpFN5K9COLhEHH2qb9sP739xVmqGRHneTbtLFOBFx8A+N4FKgU+lVeicHCyN5w6xlxbXs2vTdRutgRZoPzgfLwaJSDKVDk8FEMCqGEYHTA5KgRi1yiPEzyId8EJcAeKEPMgINWYBNYIVavTie4DiSGfeN+8xeg8/gG2YGmH66l++Gz8OzSmvmjWzH7MBa33XDjv379nvUp+hvCPAT5eMsxnH5nZUbyxub8+/l3s3fjX4EP4F3PTuWbfOafn5gtq/QmWhLXAy1wvPENW31d7eb0d/bP+rd6dn+k+LvoR6g8+ldeueozWaympwGcogcYgaBjth1NTbtdew9t/cfzdAJPJAClOADGDE4XJ7nWIBzAjgnySd6/V6J8pMS6XeLHjSBCAdw8E7ayTg8Dte4y26zm+yjVr1ZRxz84/8RPp7QFhbz5Vw+m8ukMrF0LB3OBNKBtJiBIRgGURDBFuWjfIRXeIUL8hJPSJyf9wuIqxkLaeSFXkRCl0rK/R/vZysvN+MyeCEOGvpw12iBxXkwLEvTDO2ibG7LhNGtd191D5C9vh5vJ9cOidPw92MvTf9R6fxax+322wMfmf569K/c/4z+Hfxn/F+mf1b62eqPdt7fef/u5iezH8/8ZeLvELEElvlFepGe986SZarkzk/kJyZJxRv2yrSfExk/i3FE+2mMJQpRkCKgC5CCV+0N7gyNUYSRxAEWUcAtO2LOmCU+OmlM6OP98f5Yp3wREefBRbLD3GHuHR7uHOocfXP8ZftZ7wvoWfBs+IXUueTLxQsLPXNda/oty5blNnkPETtgU16Nr0Tn46XJUiIXT8WS0XhQQTV4Az8Gt8hiePuQWi0POqzXB/snvjjC1FbTuNW1ZuMx41Gjx63G2dRaLUhQHWGVh7UXX2/rvjR62dTmboOvwktKT6Y7PVwyLZoWxq+Tb3s22Tvoz4jdtfuQ8IsBDIkghkQEWwwlYQLGMSAiIASCGBIBXo2vBomDtBa8KXWH9MHhqHHSmjBnHQVP3l1m5tAaWEuszVwv39i4+afEnlYLA/CXfCsojn1Pwhj2rNR8B7Bv8b99/+IJbdPe6l5PJd8MOrw9zkHHgOmafkxvGrB3ea6425k2OAz1/hH5mmSSzSFzyBZyhp0hT5AOErTMhIUoFxWSKAui+CTFH0JBUUaSKEmi6McUQDKIcAlvnEp5sySRoYpk2Vem5rkVVAJTYi6YD6TDyehkJJZQUqFUIIumQIHOeZLupCNhjROW2Fh0VDFGRpSRKP7FjImR+FjKmrVmxoueaXeZXkTXwWJwIT4Xm8tMTxeJUmEhvZ5Yi98M3YF5WBQKXJ7LMRk2xSSZOB2nFSbIBFmJFTk/52cRRyAGG8Yk9Km4g17gA16VHwJbAyTPAx4PC0oig2TQFXKECTuugCloCholPTIAE2+jLcy4101OuCk37aIdnAONA2PQEnPExlOu7ASRdRc801SJnCbL5DQOGpur4MzZsrbkWAynFRxCAyrw9l7c0/y8GdiAUyB5kvOxDMP6WJKjWDfn5icEF+8SsGGt64A98nAUYyFtLRKWgmuOWqVW2E30LrGbqz6uJYFPZhQmwidRUW2LP4xCftwWbFLAL4kB3Bai8lhlqBEPKdwqf0AS1cchP0aiPwaTaBLEYETASBQwWrCJLK4WBzmiOlRxaiUQAHjCCRImNaa1SmgvpoQHF8PBkAzlY7yIqDoPhEb4SqgjrU9dnXduoQSIo6gU8UeksKSIodqJGB5IBCIUBVHAE0ztxqHWYHfkfTKeOiTjr85dV22foGqaz9bmrhqTUNP8vBbc4tboWd+sZ9qVx8VOjUXHIgZZj7pBj6vH0G3o+nU1v6XhtBZfqCyTvlA3lcG4bvFDlt2vGx57Kss44mBRe3P75vJWYau4Hd2G34O3qDXrdduCcWqoOJTCGh55K9CKXiYObmibdvvUtId2Xc3wO94/cJxzvGK6MNw1fKVnuH3skrnVcw4aoUm0BMyyJWiJYEvYkpaUOWMuEAdvalVd/jwfvpaPoI4tnA8k/bV8xM/zwYOIaKn/uRbUKItwPipIDkUqguJYpFSJCmORUvOReJU1WGEYonpUWypNFaayxUwRLyhTsSmlFCrJ09Is/BDedt80bY4uD850TXfmLsXOx88Hz8GztUXU3gw3uU16g95wrzjnHfPm0kjGkNEp3dACLZyNsTJWyuq2TljsZuuYecw4epWo7mk339joXjNcv7bh2sR0X1JmsuV0YSq9kJqPr4TXQmuBdbheQ8vQ3qeFZsxfhuFYzqd2U3CDcYyTCYRF3o9lSGIkQUZh4p+0vV1XhtvN7ZY2z5uwHXbJ/dG+6NWUMW/MW8uuRec8vYI2wY6ykV3JLM/MrhaJlcJW+k7sTvQD+UeQqBz7pBEucLN0yTflyTlTjqQ1Zgobw/pAP4aYjh32XqVGyDGPyWOjnF4H5WFpRDBY3DAiRE4SApwsyDAshEAYRcAkiomYpoGwEg6FJpVcNBctRsoKUQ7PhhbleXlRWoQ/gO/53p7YdK1Yp0dKhuxgtCfWJV9GrcTBv2mrZ3a/1Vz9SuNbsJcb9g35jKRlwuJ0jlM20sKakRF0JPpnjOWRdfd7cB1eV1byS9nVhfW3icrr2v+PHPu19+qdtVulneKt+Dv/G8VeIQ42ccond+8+UT1a/VuWpLxO9kkna+KHVZgcUkRiMUz4AAwKstqUyrHKh8dpP74ZZAMc5kL1x3v/epyJ8xG8kYVEORCQpZAU9ePwUBamYaK2pClA5lWtFVlsjOQjKspn/Q1iYwXtDYrRQEiWngxIITHmV/DgyMEUfg1LtBDmsPTjo6C6qVEcWf3JLx4/3tRSn2+pt9xrDrj8HrzcUXh347A68G7gAQ5gg1ZcSw/y+Ck8QNVlC3MVJyAEieqDlR82HCw2fqX6AzwO8GR4Eu+/HP504r2CB7/sAg5og078qhv5RDaA6RFEYRgWo3Ji98WW+uXjWDnUBCVZCvtDItYH3IYkzKIMOAw5KoR4PO84mVXLJtIEfq36WsPBe/s3mkFjdeyz4w27Fxqr1r3jDU376/vt+19tBmep16wXLRf1V/p0vQOXR163nbe9SH0Hi8bXDgYaMVpwnLz6hSccfuHhCVZDi0tlMUYijfHCHiIxoE7k+rIWTAXT8Ug8MimnsLbNNJYA3i+EKX6GxSupb2liybpkmTVNXSvq04PxnnivfAW1qxPpjyeawTvUhn3Jtjg2ZUgZktci+oBeuuY34GhOHiQqv9N4C2wEF+ML0XI6X8jn0+XofGROXkar6sSpq/svIx2ASg0KZW5kc3RyZWFtCmVuZG9iagozMjAgMCBvYmoKPDwKL0xlbmd0aCA2NzgzCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlIC9UeXBlMUMKPj4Kc3RyZWFtDQp4nM16e3Qb53WnYIvEOHGUODETqmHzcron22T3yJYs2c3ZtK4bO3Zc2bIly7IkiqREQSRIEATxIN6DwWBe3wxmBhgM3gQIgADfIimSeku24khyHDvZJE28cfPo7tlsT7v9o6fdBUlQ2r0zlGXZcXv62NOzZ450KJLfh++793d/v9+9I8OmzXdtMhgM2N69Ox8c2LZN+/pB1Pjmqrr6ZBO692507+bPfWTTZuYrn0fo9hf3GlHb733tk/W/ua9e/Xg99IlNDxgMTfd87L77W9u+8OV/9/v/8aGdj3z9Dx9/8unde/YdONzZfaJvwOZ0+3DT9kceNG3ftd300CM7Tdsf3Wl68BHTju27TDu2bTPteHCbafsO+Db8AH7h4UfgF3eYdjz8sGmH6RH4lR2Pmrbv3GF6CFbt2GV6aNeDpp3wne074cuH4Ce7YDH8+9GHTY/CLz3ykOnRbaadsPuOR0wPwTbaTjs2bdr0wCc/d9e9n/7oJ7DPbLnvHmPb73zq7tatX/is4Xc3NzV/5PMf+/gX72/50gObDLSBMbAGzoAMvEEwRA2iQTLIhpghblAMCYNqSBpShrQhY8gacoa8YcRQMBQNo4aSoWyoGMYMVUPNMG6Y2PRliOumuzb99K6X7u7abG7KNkex++/5ykfaPvL5j754L/+x4JZtW+ofv37fpz75mU/t+tT4/b9s+T+fudb66617tq589qtt87/7/c+3fGH7Fz/5xeUvpR6gt6z9eM294mhBjxHfcu4e3m158diR7vaDPc8N7bE9hf8n9Bh6OrF39IXC4SnT0vHFgUvua+6rxA/QzzD048Rb+esj1ycuz59dWD4/+1rlu+UfJN8W/oz9Pv4dxxXHWfNc11xn7cDIc/lnlW+hxzDU3HgKb0FnqDPEMrHom3NNOaeslRMjPfkOZT9/kOskery9bsuQw2I3e014V6gjchi9jKGXxXalK9GRNhX7CuaabcY9614mLvHnuaX4TG42WyuXJkoTmZPqsroonUOX4XO2tDUfaWt6a7IFkRxFMyxFsyRL0gSLoyDnR240jHwoyOOIEEiRFCiBkdgoKyEJW5kxojl2mpwkJ0NVfykwOpxzJh3qoGzhTdxxn2nA1H+088g+bP2mEVEcxTAMRel7h27tre3sQwHYO3TH3tztvRl9bxz29o+6YW+natP3NvmOw95dnR0fsvfGuX2wtwf59XP/1t5r9xiRyIuCGBWiYiwaiypCQkigNJ/lc1yKS6AkG2clRmZEOsoKNE8jGmvcY7x45cLSudr5sXOp8wJcm54IjxOVQMk76iu4Ms6sPT2UsI1PjVer5WppLF/JYJVUJVGKleRytCx8lz0fWhg+5Zy0lnsrPbljiXa1XToIGVt/zbhlDa1tWxFbkJVy+0P+oJ/y8Nj6r5vRS/Jh5ViiK9czailbJh1z/nnvGfIVfplbiE7FZ2Lj8UqioozEs/FsTBXjAiayEgepgTMLdJTiST7CE4hAkDoU5igtvxzNUiytPQxNsxhN4ZSbcBN2whLuJ8yRY+RxsovpQH+Evq08X3i+eGj82GL3Kcul4evD10I/Rr/A0E8TPyxcL16vXZo7vbB0ZurV8pXSNfVN4UfsNfyi/aJjqW/y+PSxcntmf2Z/bB/ag/UbG099p0X41fCb3ReOndtT+QbfzZ0I9/stXpvLaXPZfBbcjPdEergebMXcvGV1/+r21b9q0XLHEpBHEo5LMjTDsAycnac4kg9HI1FCf/AoLuJCgA/wmJfzMd6Ij/ThHr/H6x4etrttLou9B1v/+b8RPlqM5dnSeKFcLBVz+RQ8Sl7KS4VoXlBYBdaoLDyMyiQZhVHoGKzEYDnNszzDwxZ8RCAhTSEUQH6tKIFo8vUnWyB3IQ5+wEEQWC0YNEPRETJCkoGQw+/0DwT6AuaAKdgV7iLamQMI24X+MPVk7cnq80sHXz10pfutwXds7wT+Ev1v9Pfpv679qvarUz+6cPXid6+d/s9TP5r4L5lfC9g8e5KeI0+Gp4nx0EaplbxZXCEUIkZGaQhLRKCiJGAprGMphEHUcDbMEUyYjUA84Vw0TXOANC4Y86S8KUdmMDuY6ct0p48n22Mv8tgL3P7gIfvhoaM9PUd6Dw/udT/tfop4DP0B2qU8lvt2/pnKvqnO6Y6F3vPOc/ZXQ9d47BJ3Wp5LLaQmM7VcNVPM5NK5ZDqm8CKnwVtkAN4UwBsOBNkL3orXq2vbxlu0VLNAYRupJtkgRM8PFOPVDs2HUBhSHYHlt1Ndv8d44LkDnS/bXh48EHwJPYdeVo6OdI30AnPapj0L+NnQmcgV9Ca2cvI2JCSARBwgoQpJgMQIn+fSXBLSq7AxJsZIkNjoBiTWVSN6UeqM9cvm5GDakXHk3SW8FByLjPML3Hx6YXy+trS0/Bq2cvND987w+Q/sLdLiu3vfvMe4ZXV+dX+92IIOhbs8JzymoT7zUJ+t292BdwQOUfuRGfULFnlAHJTtij3uUrzw4PFwHCNjkQSTZBNsFhWQyit8go/zsiBHJSEKRxDgDx/nVCpNpEP5UDGIFfBKqEaM49P0HF/lKkIpNioXlWwypyYzSl4ZkYqoisqRoj8fyHqyjhTmTA2pVnVQsSb71YGkNTmQsabsI46Co+ApByYC1cgMWkQz8kx6Kj01Uq1WsGp5ZmQxu5g6G78ilNgyW6bLVDGSpwpkJpwm0+EEGaNlUoIa1YmNwngKuA0wicKASS3LAEiAI8VoFQL0xnAUT3PhKB4PxgKKW8GG4674kOKIDYj9vJUbYpwRF+khArg/EAqQPtLLeEDprDFHypN253yFIDbqLwVreBWvhmr4eLAarPqrvoqnMDzqytnT1pRF7kXHNeCtfnN1y1+2IAcQUJAJ0kQE6jNM41SQDlJ+NsD4GS8LD4DwIDoq9aR6VGveWcEcZe9kaIE4GTkDIrySAfqAO8ikSql0HqKZ5FVBYx1ZiEXlqCiJoiDzIo/VW+qDzUiELAFeZPhRLJoQkoLKZ/ickGeznMqpkFkZ0CJrsYJK0chpsG4zatUDAqF9LxIlhQgfEjRpCCIr6yZxCg9HCB5r2Nb9zWi3cihnyZsnfWf5DJfiVTEpJKKKqMBhYiIgBQAS5fSHFYC9sKiWjbAQ0rTm3WLc8BMf5F3NT7hv+YkN3qUFoNJbfiJjRBeYU2Fd832g+cM5O/gJq9wPonHUd2ygG/zEv0jzY1hb004jkniIG0QzqpF6AkKc5NN8jh/hMlwS4qZwegUzUY2XKURh62eN586fPXm+cq58LnlOuMpeDJ0CDQcjBhqeP6a2J9vFvehPsfU545YVs3Zt04q7BX09/E3Pbs8ztv29HeaOrp5D9oP2vfhuNIiGBLvsEB1xR9KVcKYcIwClwlAZW99rRBG4D3A7xcB9GLgP9777QK5IyBkVhftAHpGMtW3+xbusIUb1+0Adg0il+BSfBdZQUIKNcxoKJEbQGVPDAWasjo2VK4VKcSwH7iQ9lqjGq7FqdEL4PnsleMZ2ZnC+p9Yx3l58KfVC+jn5T9EzmhF9ergFnWaWyWVyCZ/zTHunHGMDRevIiUQX7+KG9VJyhZxBl9/hcTjtjqFBWx/WqBuX9y51LVgXLIv+ZX6Rm1FqhYmR0bH8zMhUci6+qJyKnkJLOlpMqz8F6iaYSISO0GEmxIWgXpyAEy/CBVwTfGA+WkYK9htjd0dHz0HbIdsBfB9qR51Sd6pb7csPlAdLrgnfrH8mPI/OoouJ04WF4lxtam4MW6iczV9Jv6q+HvsBlM/H3mpGU8x4uEpWgqPevDfrSg8qg3GzeJzv4ky0mTDj1pANH8JduJfwhoIUIWBAKVrkBVqE6EtMjFO4uCboKMuntLqQEoqixLNKKTmqVJQJBRuPT8eA3aTZ6KzwJvta+EzgrHfeWbNODBROJLvSnfJBBCD+a2Pj6ZWvtjRamzs5E2UmzcQg7vI5vT4P4SIckSFkRQczx6vWqmU+cBECuJCYKc0WT87Mn8Pq+4z//9XYv8JXX1y6WLswdjF1US+xxd8usd3Y+jxcedvKtU837m38kgqGwl5qqzcyxPbox9FgApQmRSBFXAzFeBDR+n31N1sjfESkZEqmobIbP1n9TSuVZBIogYA4JUkWFVHjgCxf4AsccCcobYKTdQ6AjEdE4Emsrtxob4o214XVTjEpwaqtshCHZSoQxygItEa5KVahJVqmwMJFQIsIOtT42U2sdUvb5kzbZsebLZJXhHBpCKcoiiboIApwHuQCjHuAf/XO6t3qjtLw+Vjj7vpbTeuzzV9qvAGEAMywFTwWRbIRPQ0454U0uKA8NGogREqET48hBcF1xOzKk22bR1uFGIiGLEk60wHXJYU00u45yuW5FEqzKgc2lJFpkZIioKsktvJEW+NI0/qVtWoL19wYWr/ZtLK/ueFaudm0Ze3k2t61B1rQ06E9zpecL/YfOWrq7n554PnhF5xPEF8H0fi99SPNG0ikN7pHlmBwDge0bCAR54M8oWkOKM8tJAIjby4aUSU+klZTyayUg+KcbK5xVW6MHaMnqRlyNnzSf9I155gcrFgq5uKJ1NF0l9yBDuqtcaAFXSSWXbPDM0NjlvxA1pLsE/slMDxwmgfXpfrXmi+zS2AwZpK1fKlcKuWr6nRqSjqJFvSOt+lCW1No7StQPhrxgrkO00Qjd+OdVpYACqIhS+ButT7VD37cA3lyaTDjAygoEGJYc58SLUG2IFN7Vu9pUows0fiTG/dwYcgwvVVbTsBOQRbMPGTJdWs5pPr9y+ON3Cp8psLGgVUkTkYxpHkwqCBRo3Qhzqt8ErxARpeoDXhKDCaDBwYVBx0X6LrlhqkVtDdeP7RqAlMgC+JWEZZrxiF+SxHSuiJoLUhcQ7fuoLX1iK6bb/S0Ctrq3g9ZDSBHmj7mdD3RWE9iZTrKaFzIM6CPGnlvW7t3g4ZYoIqN0UFYx6hGQx4t+Uiniih4b+3eADg6hq1jK/6m9eC/kY7f+J6x/uuVu2RZkmVxK9S+qBWFZrNVCE8WTE4aopvUF8qsZpxEnZ2g7yIoEqPDJEEQjVcaP2mt/491kxKUAcxbRWiKgMAgBivrq9vbmra2aGdmSI6AWFBcBK7FsSzsAl0r9OIAf0IMwROI+sWA4BGGeczGOWl32E34/bgHd4eHKCttAUY7hn25ftgocyL4NU35NL8WjQjv82sRnIwEAeyHb6jNSDO+LEtBOwYMEdKjf0fpAb1ERK34tMkAo5mHVbXxaSMOfjOi0nf4TV73m4IMCBAhwLwMNfnpv2lG3499Rz2fOjcyX5msjE+V5jILqdPxy0IFjPooXYrkI0k6FYnTGgtBbx7BtKvyBNhBOK0eH7H+PwEjmsWB3izCvJ8gPLcIIvR+gtAszhugJ7rBAasbg5MloqpudbPAuxnd6ioA5xi7YXV1PWlrPGzcMGLDmhF74rYRa+8ya0ZsHxgxKxoUbPKQOBS3px3Joay94MjbyoM17Eu6D6P1BhKCCRwApM1pJRyAJwQN5AZTM9F/pa88Zxwbq5QqI5V8JVNKlpLleFkqS5VoRfNhAfBh1vkT4MM6wIftAR/27C0f5tJ82Ok7fFjV8gEf5iRc4MOc7vd82Iruw05ZFwdO3fZh4+DDctMjk7oPW4gubviwtqavtm12/gRgzOA0QeGRMLTQJMFoj2btseeatWz5JX80EAskgkogHYSOL1j019Y/sdrfOjznWnAtuUC+3YsY2yy8jLTnAPw5iN0A20Hemf8Qo1lc/wfyD1bltwUiq0KrKeV57L82g3qxKTZNJakkqYYToYQ/6U94EsP10+vXWvOmfE/WnOvNmuHpy5gzfVlzpj/dj/HN6BJ3Bb2GrrBX0CvY6reNKLrR6cqaTbkNqzwwnQYrIAKgAaACWmBECpiOAVgdAVjtXfvc2uYWZGc8JEGGwhQOBfjZ5pItZ1UGlH6xD1nQ/vAhT7fv6FBvn7V/4Lizy9/pP0Tu501cj9ib6E3YVHcWw/2E3nPSWonaVFfBP+qthWdR3RdqPcOcIudCc/iUt+qqOkdtaUu2P9aDjqKu8DF3t+f4YO+JgROWw/Z9vn3ep8J/hLDH0W7pQOqA2pnrHTUX7GO+Cf94eArNolFxVCzIhXhBzSfzqVw2n82O5Ip5zJy1F71j/kq4iibRqfhcZjo7WRwvVV0lbxWfwsfJeXQaXVRO5xZzp8ozEzVsqnqyuJxdTp2LXxKq7Bg7ypapElOgsHqlWeUSlITLuAAqp0G00gi2oKves30z5un23HN8HzdIOXA77vb73D437iTt5BBtQzb0XLZ90jzVc8b7Go9NcWPiqFpSRtKZkUxOLcTK8VK0gsZgw9/ceLEFzfsmzKN9xU71xWjDo7Q6h92egN/vDfnDgbA/Ak0262c0oT4y2rtsX7Zfx99GF9GiOK3OKGOpQhYrZtMjSlEpSCVU0lv2tdX5+qMtWklzJApzJEuzEUabjFJUhAiHiUDQGRz223EbMRQciFgi/aSFNSPsGbQncaBwoHh0qmexZ8F20X3No033f47+Qv1Z8Y3R18cvzy/OnTo9fql4aeRK4qqAjbNVphqpkSWyFCqFCngOz/tToTgRI2QQNZHS+U6bYkD3rM0xMDTIuiNEBKAFBMrhckANJr1JV9qVsqes6oDaK3fz3+Ce7et6rutZ58OosRlDe+QDiU61I3u8YC1axpzjgUnfLDnPz3PTck2tqeVUIVVM51MpNa2qcozHJF1WNPkHSYGK4+GTwJvqffuKuf7zD+8p/t9rctva94z6B25M7f7ZjUZUbzSikviPfp7mVjRhYLSJWb5t82wLFNKgz+/1W8hO/ihniflSvnR4DJ1Cc/GxbCabrsWXgCVrZNaf9cmDyPTuPKPxqw0FA3dI39Gk39FsgeSF39+krxwxWgdsQzb30PCQzx4cwofCNnqIsrGD6Bn0QrK90l4xzfQvD5x2XgpcDXw38jp6E0M/VX6YfT3zeuXy9Onp5VMz58rnS1eS34PKqzCjVClSIkaDpUDZO+ouO8fs1UHs70Eko5Iei6g2LNJ8W0I3jVokNNcXuxV77bXALZF8wNh4aq2vpeNy12JX7Vi1M3MEgtETGhi2OB02t9nTFzgePhbuortQFzoUPRLrjHWox7NmLNdbGgRics0Si3yRKwojsYJUSBQAZKO5Umm0UK5WprH6KnDlH6+u1W+2oN34Xvth+8H+rqPmoz1AW9593ufD30Yd6Gj0eMwU641Z1P7EUNKlDif8SljBwjEqQacZlc2hUTCfST7BK6D8t6dgEi/yCpeO5KCYioGaH6sGJgPz+Dy+HLnAL3Az0kRiShnLlPKj+VwpWU2OyZPAhbPhSU/VW7GXrAXMmu/Ln8j1ZE1ZU/541jTSU+wp9JUHxq1V57Rn3jtHnEGvoFcS50aWi0vVkzPj2Gx1afRc9kLmcuyKMM7WmAl6PFIlK+ExokSMEMVgkoxFYppBY6IUD+DGhAg4Q1IvK+j0wIwRXIgLs9psh9qYloMf5EKSV/EpwwlHErOrg4m+RL/SIx/jT3D9tJWw4s6gx+vxBoYJJ+mg7MiOTIo5a8sOFu3VYazmmnTNeGc9Jz0nvSfdJ90zw7POSXt1oDpQ6s2ZcsfiHejA+wdx+lRcxy3Jau8UgvqrtyCYGhyF9YHgRn3p/rDebDy8/+WjL1kPWPYGnkVPo73JQ5XDleMzFsCq65L/ql/H6ntQnTqNTS0v3sLqdeEyex4HJh5aNi8dwVZmN6YCUlSStJ5GUKJasWagWPPvFqvu4kRGvJMcGk+t3vVPA2h7tP09gPb8UwH639cSWmjQHS8MNpprj96XB+5450nr7RoToxWs8dH6ucCkf9JX2+qveSrOgqs4lLEmrUDNx8ANbF4f/5d0wmUwOrF8OplSMlIGXHe5eRo64VGuyBaYHLoYOu2fG14YnhyqDIz1F3pSpnS3dBS1o3bqaLAHP+Htcw5iDuug3TLc7+rxHg8WNa3x531ZT3o460o7Ura0LTmQ7qtjjYlWxSZ7o+DOb3Uvjdm1+1vQhdCS46Rr9sTYgawv6om6osOCjTfDhX5n/Vv1bc2L3Jw8oU4mKplCsTiSLinVxJg0jqY3Xh//sq35309BKNnb/i7C4rev7b3FjriuN5T2flJDWQxb+1vWuP78zTq0SjTNbmX0/kXjVUKf6fu1uY5uusO66aYFCigMgiauP7FWb+Vu/m3zh1nKO6emhG4pKT3SG0q1OWtE1Xghk8yquRhYyvqm5hI3wuaYHJUhU+EkkcDjASUQ88relaabO1vF5pWPrm2P5+M5JbNVSSUSSUWNq3JaSkfTgjazaNYsEHTwCh2nNRqQwhK0eQKO/MCy3drMau0+bdBAIQaxiGb1vzmGo+EB5DWu3XinldEGQ6ArEX1q8N7QYVhrPHg/6J82NSCjtKTPDeJY49rqOxqrs/JWaMlFJCKBE1EUXK3+XkCK6oUG1LkxPNiYbWntrcRgG0IQhT5coOuxG/2tIi6odWm1X9BKVNyqSbj2WkGTkSR0xyN6d6ygBLT/Mgv9uy4jgiapWvI3/6+2zczqV1tQo8n/+5ZHLLu6nnhh7759T3b9gfXrA18LNu5GWKPWDFwTDST9Cgm9JiQhoME9l1ZT6gbczzbXm7i/8r9tedvyZuflfZf3nXqq+o3qN9Lb0df0aQ/Zgn4QfsN93XN14LLpjGn50MwLlRfKjye3A0Afu+mtP97859wPE98pvlY4Ozm3vLBUeyX/RuF7ytvov90649qPP9h/boAl8I+V5cob61fX3/hA3/LP6lv1VzR633rrFc0/3LeuJ1auriQ+sE65tU57EZjSmTLx4f3uvat/dqFFCgngJKEMIyQToQnGz21MGbVBoTY3CL1XRlCAtIQ1zPW/a5gbf8dQ8DBb6Q0WZPT/nYG0OnLrI8YAhIYS4YLafAr8hZyoT6083trIrzxEx5k4im1FsiDFJDmqRFNCSp+LjtyGXIyTGRkiI+ov7+qdjV+01rvrvxCgAxMBbQBVSZD1UZWGthyQdka7q96CydprC5BSJkwSjez6f2itT65/q2nLpk3/F5pcHEUNCmVuZHN0cmVhbQplbmRvYmoKMzIxIDAgb2JqCjw8Ci9MZW5ndGggMzc4MwovRmlsdGVyIC9GbGF0ZURlY29kZQovU3VidHlwZSAvVHlwZTFDCj4+CnN0cmVhbQ0KeJzNWGtwG9d5JSSSWNuyYiuGK3c46aQ/Ok2bpJZEy1LVuLY7dmzZli2Zelm0xIdI8AGRIEiAJJ6LXexi9967u1gAu3gRIACCIERSfIgPUaKop205tuP40YztTN209aTTyY/8aJuCFGhP70K0m2bcP+5Mp7hDcomd3Xu/853vnO9eXUXlpgqdTkfU1e3Y0f3ww9r1jv7SU6s/XdtXBbdshlsqv3N3RSX3p38E4VcXW/Sw5tvmbUX7/cWD3yruu6/iAZ2u6q577zf8wR9+54//5Ht//he7Ht332BNPPWus3fGwcVftXuOuPTuMux6tNe7a/ahxl3H3XuPOR/YYd+7Zbdz56E7jjj3GWmPtLnyndrdx197dxtpHHjHurDXurcW38XO7d1RUVDywubKqWk/oNm379gN33X3Plnu3fuu++yt0fh2n43VAB3VIJ+hEnaQL6GRdUBfShXWKTtVFdFFdTBevMOAgKzbpHtStbJI3+zb/dvNq1UPVL+qPE5a7sne331O/5aV7j2+9e+vUfbX3d26r37r29Jrunw2gHzh4kiP9NMswLM2SfpL1+N2ci3dyTh4P4IT1sEnuiHREzClbjrCOOCe8572z7BK6RqxmStv0JKBlRmFUbgjlQAQpQhiFhKAo4yEFBEkICDIkivcXO6qBhCRREiRJ0m6HBBWpQhQOoQSIQpVXQYgPcgEu4Bf8Iv6BfqLUUXToJRjgJW34RUZkBB+iEYW8yAMsnJ0hGS/NUIgoOdb5avh8qD5lSnZMOpdRHMRQRFIFVQpLihgSywtCMhKABEVe5AVO8BOIERj8Ohq/jiRg9dbVruIHOQNggJ/z836WYzkfT/NeQAIXcEA7dCMSD1rAqxD9Ii9xEg5JJm4/qMd/A+XQxK9CQ3dCi0EVKF+GxmmhIRb5iS8e1KdqKs8bwGmf2eV2Os2+0+g0MAddMWfMl0PnwWxoNBaLx0aD82gWjPri7pgr2INatWXefuu2ZXXAAJ7wPjNwYOCFriMtJ0+fOtF2yHLQ8ozncfgE3K/Wpesyr060LrbOd1+x3xp8g3oPfUyAD8PvDv8k9ebYtfNLsxeWp17P3Rz5WfRj+LfwHc8N242+JdNM40zj2LHkS8kD4WfQ43iu0pOkASz7L1IXqEXnTP+kbaIr35ZqS55SjsJXYCPVZm+zd1mspr5OeyvZQJ5i6tExArwi1SsNoVPx1kxnumPMMj0wNXCBugYvwYXQVHJ6qDCSmcieHZpRLqiLgWV0dSOm2t+FnuGYr6B3wkEMPc4RogS2DD1XJgSGfjWrB1f8875xetwz5sw6Mv1DvVGL2i2bUCNocjZ1NXY1NJx8mfic0H+jtAa0tCJREmVJFkKY2gqKwASKgQhUcFqDfICX8XJEnFicVpYo3a1fubkyfyW/krsSuwrfgFe887a5/nPm0fZce7JZPam+GqhDzxPrS/pvyraaqt1fTzdUphv4WrrV3H4LT3h6a03VD2sq3R8YoAvXPMXi4WN9PtpP8xRHARoSddWD0Cm4RZfoCZKKR/FEyKQn4U678+vfX+vdbp2xztkWrDgm+xzBV6MT8BXhOMQDnSA+T+sBC1gcDIvzx28Ew7tx/hzQhbyCFgzOH14Up5U0xpaoqSzowWgoFVPjakJOIuLT6hRI8FEu6ldZ1adQildxKy7FHukvvrv+9nZMvfZkR7JjqHOoM9E5ZBoyJToTpqEzBKrmr4Lr8DU8bsBrxNpBPbyDEc5dUMudqGJpiuGSjJXVBmPE4ez5A+XcCSxWm5rSMf3W2+1rH44YAMUzjJ/FsOAYcASDmIHlCLTVS4zEyyhM/Erf3HCq40TfCesxz2F4AjbILZHTkc6kOWvO2grOc45zvlm0BFaUxfTs8MzZ8fM5YnZkOXUzejPylvwB1sT73q+G59hxJk+PejKOpH3IFrWEzWFToAU2QiPbQXV6u8lej8XT73VQdq+H9SGCATidmA5+jJ9f5mUY5kMgjFSQQBFRFcKBsBIOhRJKJpKJ5NSCQhTC48Gp4KQ8JU3Bt+F1+qJryTljK3Tnu9JtkaZog/wKqiPW/1Vf2rP6Q0Ppu9WvwmZ/B91Om0mry+pwDHr7SSvbh8ygPt5y1lzoXnBfhwtwTpnNTqfPn1u4SBQPYdTCt3+wqhig2TfoJt2kk3EgYv2fqsHxwEmlOdw81DbSne0at846Z5xL9A20AGalyeBksBDMKSOh4VAiGA9GxDAiMMOBxGv1hHnLYHnG4gxxFQAK0hBTCrCQ5THH+HLJ+DnC7yeZQXqQ7qO66C66g2llWnzNXCN8HO5X6oZfTtePt86fnutaGfjJwJveD9GnBPhIeS+NNbBwdXZx5sLSxPXsteytyLvwfXjLs2K93DdvmmwdPz1yMn4sfjRUBw8SZ/Slv7xsQP848G7zStPlF3M/wsLSRpucJkdPf7/FZnF0ke1kO9MGjMSqs3rr2r+tzRd3G4AHUpDiaUjzLM/w2oJZlqFpinaRAx6bp4/s9Vq8Zl8Xc4Y5w5kg8Sw8pBzPHE83jnfMt8/3rGyI9ifgM/WjzNuZt/B652fmlwpXhq8M31BuIWIM5LkxNs/kfFk6Qw17k+SQJ0qF6BAta3LBCqzIIB/yCXgNUPM3YOYGGS9D+lgaA0rKbtWlOiIDUVu0N9Id6Vba5Ra4Dx4wNb7YcKB/FywRBDwYOKo2qA2J1kxXumvUOu4ad0775tAMmJQLkUIkF03Hh2PJaDwSU1W5nD4RSByWKlYTLWzVXuTF6XOXBf7nt9PF5zAwOJc+QOPBYonQ1IJhsQT5fC6vzW1zmd0md6e7lWymm6iT/hOQ2A3/OvrM2I/zB+frb5y40fqu5e96fuH+F/Tv4D9ivx77Zf6X5z9YeX3l9VtL7599b/yT+D8gYhrMcFO+Kd8kNU4WyLwn68q6EqRChSlZkx4GSxAGptxHeDEwXgLrE8lTwMvTmmphVmFm+XGZeYFbtkcdUWusJ2GOm2ItsZboSfkoIg6Co2R9X31fc3vHqfaTPYcHnxvYTz2J9oK94SeTLww9lztyrmmiYd60bF223iDfRMQKWJLPx2Yjk7F8Ih/PxIaiyUg0qKI7dBd4LV+Y7rRAYbQ8yKnhVVOZram0vmkIOAUPoqAXw+RnWIrzYATtoB/asEN4kFugEHNHUiVNEvggUdpc/FnV+lT1d0tvcz5sKv6HOKxkDL6meO1hJ7DDfuhAHsGNaJENYDULojAMixE5vvp0TeXMdty9BQKyJMlSuKybUSGCdTONhkESxGGUj2DtxA7jl1mJlRjRR+DHSi9VrV+/fcEAqku9n2+vWj1SXbKtba/SfP3hOyan1ay/bHI+7Atlm8O+4NE4UvYFpmxyvAQlKBPFe/RHDx1rPN7ziuWY+xg8AI8rTcONqY68ZcpybnCOvOhZYm+inxKr8xseLYgB7NFB4b9ar7im86DcVWKPxl7IiXc8ej2lB4elxpApiHvahC3el7aPeLLuAjOB5sF8fP7sXOHC4qXXiDW9Hgbg771bQbEvO9Y7PrvhIRvvxm3d/8dW5hv1DOtT+kuXL80sjyznLkcu/0+9zHPE+gX91rX6tX1rvzVAB3DDcikBbWUbpYSlHGB2S5jfIiVhF5VI3GF4kAsRdmDnHD6Hz07anYPOgf4By0CPzdRnJNY/+z9q2B7Uj0xlC5lsOjOcHI6moqnwcCAVSInDMATDIAI0CkW4CKdyCqf4ZQwQIfnx7oFH/vJgoQ+XJ4VIWC7b27tWbz1Y2lL6e5b0Ug72IQdr4TrK3UN5yVrBSFwAYkpqXl28r/jOdp+AvwyyAX8QBEs/X/vNdibGqXj2kChrZRgSI0JESMA0SuHq0xak8LKWKywaeDASTRSVz1uqxOoiWmsTI4GQLD0UkEJCVFCEIZhBd4pW5cMcLgM8FdRcyesnSx99sW071pnf1FRKaz8wwFKl83tde7oebXq6Dn9+3LjPvM/8fXdpEyRK+WrcwUku1aX4kiiPuzZSD3LBZEyNKbFAAhHFi9XFzeDXzk+6Pz7zTtO1w1fq5vbnH8s/FquFf6btIp71GcB79Dv2NwffMF9tXWpZfHXqUO7lkSejO/HL/+YLb/Gp6k/B+8rN9GvDlyZmF2cXCtdT76TeDn+EPiuD+thasfiFAR7wHLZi4TU1ne5sbq+3HHEcdhyiX4CnYJNkDLYEO8Ld6hmlV+2P9KtuhQ4RdJBVuCgbwc1RRtsPYjKERW1zijmi7UQDeEMYAlEmSSbIrCfvIkbdE+5ZcsZ9gV1B0+BcYEIdD4/GsqlMcigTzauj8jiaAtPUuGPUPmrNmIeJ7pQp1Z5oGzImWodaE8ZUe7pt2JQzj3WPWScdM/ZZCm+TwTVleXgxtTA2PTVGTBXmM5fjy7GrodfQGChwBbaATXyUzlFZKu1NkVE6yMg+bKDlrhQTVGAgNiuotUFYvSFuhcrlpen5V+VFA0/AGXaEBxRrhOhTzapJMSltUgsygk5/j9fs7XM7nIMOdz9lo6z+PmQBxpAp2ZPoyfSN9RP5/omBaceUfcoxa58enB6c6p+yTfSOmfPd2c6h1qGW8Cl4dGOL1r5qN8AfUU/ZXxh8vvcIdr9Tze1aA1znOQC7oFnsDVjk3lBfrC/Sm+gb7k32jljGiNIm/Zf6z/o10/dpbouHC7pwVF68nddKmcGdNfjfCtboaC47mhpJ5eIjkRFlJJyTs4FRMY8735uuS5aL5pm2sw1jDZlj0YOxl4IvwP3lLe6AAS75l3yLvkX3ecfk4GRfvnu4K21UGqEV2vw21sb0e20u3A4P9Nn6rL3dPZ1EqaRfqltsWOieP7PoWkJzYFo5my6k8NznkhPRmfBCaC6wABfKhwqDxV85DeBZ9rC3ydvkaLN127q7bR2udtdpXz2eYRA5RYfgFWmsjSyOHxuCDAIE/iVDbQRhGGLxQmEUQhoQAUHEHwGDg50yqKkTj+0OEmmYFBPBRDCqqPFwPJgKjEgj4jRaIW7/1QaU4gaU4bKP/Z5HcvJ/O554TDue+MXXHE+4No4ngqPxWCyWD87hf0Z9sd85nqio+E8Oyt7tDQplbmRzdHJlYW0KZW5kb2JqCjMyMiAwIG9iago8PAovTGVuZ3RoIDc5MTEKL0ZpbHRlciAvRmxhdGVEZWNvZGUKL1N1YnR5cGUgL1R5cGUxQwo+PgpzdHJlYW0NCniczXoJcCRXmWaX3V1KsGkwTIHaI47xwuBZdgK73fiYMQuYBQO+cdvdTV+SWlLprlKpDtWdlZX3y6OyKivrPlQqVek+utXqdre7222M28ZgMMwuZmKAYcZsTLAxEUMsS0kqtWf/TMnCZogYgo2Y2HpRilJJme+9//j+7/tfmnbtvmGXyWTCDh68c7/tjjv0z3d6mg+ua+ude9DNN6Kbd3/k3bt2s7d/FKGdDze3oLa/+NX71z50S+PF9zby79t1u8m0513vucXyoVs/ctuf/+e/vOPAff/1gS995eHHDx46eqK9q3fQ7hwL4CSDpLhmPXDnHda7DtxnveveO6133XPAetfd91jvst59n3X/Z+617r/3buv+e/Zb77zjDuud+q/Wu+77DPx25536V/C3e/dbDxyw3ncH/LzXegD+a/99d1vvhDvcA/eAb6x33XW39cBd8MV9d8E08Lf9++Hz3dZ774HvP/MZeB+w7j9gvffAZ6z3wad7YBF337lr167bb9x7k+WDu99/Qwt223/6+Cf+/JPvvv09733fB1pv/dMPtd384Xd9xPzRP/mY6c/27blll4kxsSbOxJuQSTCJJskkm2ImxRQ3JUyqKWnSTClT2pQxZU05U95UMBVNJVPZNG6qmCZMVdOkqWaqm6ZM06YZ06xpzjRvWtj1F+CBXTeYPmi6dINyI3nj/7lxbc8+82MtRzDHuz7y7kdv+vDNT9z8v/fuf+8j7/v0LWPvP/SBn/zJ9Q/u+1Cu9cK+yJ9+te3+D49+xPrRuz/2uY+t/Fn3bQdvW/t4/yf+5ZOfvL117/qX1k3/04LcvJ/FOZwmaJqmogxO40yICXFBNsgGuADnR350Ap1S+rQ+zV5yVzF31T8TOU2cps6j57C1ieYtLQQflckUlWQLqIo0ISWoYkKKi4oYk2VZiokxISZgjfc1BsxIEmOiLMoxSZHiUkJMiimUFnJinsvwSaRxCU5h46zMiozECDRiseZAw98S42O8xMVYiZFoiRJJISoRKIxw5GC9VIQKR5mIgDX9m8iMHlaPFQYKA3OBC0KOzwialBY1WZVVCRYEIyYqgsTLvMhLrMQKNCYyAimQcDsC4Rgy710baLxWtSCSZziGZRiW5CiO5MJchAsiHwqgEMLFiBgVSRiMxMqczMsojm3sa0GyIIsxSZKluBwXE0JS0oS0kBXyPGyNT7FxXuHijAzTirTAIAZ7c19LsW33qgWdouyBUCBgJ08J3fxIPJANpskaWkbL8clsNpuuxU8Ly3yNzISyQWUE9ejL3PjhhmPNZ0GfJx50PzL2iO3prhPdJ472fd3xhOMr+OfQF9BDySfLT40fn+1Zta7YLntf8r5IfB/9GEM/TL5a+Hbxpfpzp59ZPvfswgvVFyZeTf1I/B/cK/jzruddFwYWOxbbpw4XHi88pn4FfR7man4xbEEXmQvEKrEaWPLMu2dtk72l3sLJ5FPCMb6D6PX1eodGXQPOAX8P3h5up4+iIxg6LB9T29X2XFd5sNRfH1nwLnnOEVeEi/xKYrGwmKtXK7PjM/kl7Zy2Kl+EONL3dHXjgG56jtEHzVJg+igHkcmFwPR+FNwxPS3SEifrxgfTr1Vb0CX2bHQmOoPX/BV/ZSzvSI2mbMqA2Ml1BDuGTg2fOHniIHb93S1/lFtjgqS7VZIUWREToiqpSHdrhk/zKkqyCS7GxcCtou5WFtFY86aWy9+8fOZS/fLk5fRl8Rp3ObLiOeOet1f7qn2FU6kT2rHYU+ghbPOZlj822tr2/JW+rq1wkyGut8IN7YQb2g43Vma2w43G2jZe1Cfc27bnU227Q69ZUIgNMwQdoaMkBYMhOBg8gbCnzDC1EJRCckjBNVwNp/A8ngtWArXNT627W92L7jPOs+4V9xnvCsaZxaPCN9ARdBjeR7Hrld/amDE2w4dZfTMB8J+xGSkqULr/wHvb/mvbPdeCqolSVstoOSUvYD81F/kcl2HTDEAKCQNXQ8mg5tM8jVc3v9tatBb6IMXhnRvI9+cHckPwHswNYYKZv8JfRd9CL3DPo6vY+pOQkpK8hTZxwJuEqIlJQUebHJfiNX4LbRQ2BmijD0jJtuaTLXs3rOs/mLAggiMplqGjPJiFDfJecEhQwCVwh0DHGImLIxV7o6Wr/WT/N1zHnIfwg+g4ao91pbu1gYJ9wl5x1/3zwfnoaXQeXdJWS6fLi1Ozp6vY8sTFwvOZF7SX4z8ATHzva2Y0x86QNXIyXPEX/HlXZkQdUQfkbgheK91PDERsuAMfDXkiPsIfCdNREaM5BuIfFiyzEHrgaJVPQChqKCekRE1SY0lVVRO55Hh6XKsmp5LYVHImMa/MKwvSvPgK983o+dB5/7KrZq8Pl62pU+mTsaPoILb565bmvWt3WJofMx/nu+k+sp+w486g0x/w4p6Iix5FI+hYtnvaPmU7G7winONXkouV5fLy/JkLWOMgWA1t/OWaZkF2yhuKBMMByidim/9gRoeV48lTyVP5vsrwxPC0azGw7D8ffV5c5ZblucR8vJ6YUKuJYiKn5OIpOS5gMR7CAoZeASBQKBQVCBQBrI+gKE8hiqd4GtEczbIczbE0g7EMTo1FvYQrOkTaiH66m+wmu7h2wMCvJQ+Wniwfn+5a6T5ju+x5eezlyA/QTzD0evL7pW+XX6pfWV5dOnd+7rnK85UXte+IP+Su4Zecz7pWBme7Zrsrx7OHc4fiT6EnsMGW5l9fskh/P/a9U5c6n32ser/QyfdGBwND/hGP2+EZ8Q2F+/E+qpfrxdYC5r3rG+srjbstUKAiXBQRPMnR8GZY8BtDEtEIEYp4wu6QMzIacURGyCF6mBzkBhD2EHoieaR0pHxqtu9s3xnHJe817zUA7b9Fb2g/Kn97/JWpK8sryyvnpi6XLxe/mXxRwKb4Gluj63SFrEQrRClSCBfwdCRBJogYBaWSEimJ1qEDwSpgRDBk48ZIgsIpOiIQPK6EtGDSn/ak3WlnajhlS/YpXcL9/GOD7Y91POrej5oYhh6PHU61aydzPeXh8aFJ13RwNrBAnYF6NBebSk9p1UwpU84UMulUNqXFEob7wIGS7jwo1CIhEKLuvLAB8N6N/rbdLwLyoDBP8BE2yjIcSTMMeJPhKQHb3PXmmnkLQDiGMgAkCgCCG2i4BSBhiRBIuDVtRAlrgPRa819baJ4WaNgugEocvk9wSUgL4BYoJSSFJKB2QgRCIskxeZuObHzIrMBaY5zMxGCtEgnIRAgRCLPwdoEtNR4ynMiTbzlRdyFHUzQJr1DEFfSE7MGB0EDIindGT0WOs0cRdg/6XObB2oO1J84ee/7oVeurIz9x/G3wn9Bv0G+yv6z9bOpnyz+89OKlF66d//7sa1Ov5/5ewJb4JXaBXCTniKnIdLgWHg9OBHK4SqhEXMd8yACB1hmPuJUHsDiwHgvWg9pIsfqAsGJ4EhwaivsygZQra8+NZAay3Znu1In4IQH7On8IP+Y8Onqqr+/kwHH7Qe9D3ociD6D70D3qFwsPFx6uPjXXMd++MnDBc9F5NXJNwK7w55Xl9OnUbKaeq+XKmXy6kMrEVcFITSBixrJIEaJKwGE1oW3fvlevKWCuKKyNZCiWBK+y8EYUwq7vMgdQQAqlgmq0gGoA+pQO+oWMllazSlbA1tbBHfoEUEsNd8CeCRFIGYwgJBJUJi4K9ie38og2wkXa/NTal81xXgdCiAUaFgZXghv168J6vMBiCCPMKIY1rgRDYZtf3uxaS265H8pQDMBUNuYzrgttc5FPN39uAbgBoAGU0Q2tkxEeZ4MQiQF9TVJEiOhBDpwUOIDEx5CCrXW22Ifto6Nex9hoYDQ8GnZGHbSDcXAj6KvoYOpY9US1e2H4vG3VdTl0Lfgi+TL6LuCR+lr+2/mXqlfnzs2trsxfqD5beT71iljjqmyFrlATRCU8HprwVzwTnklnfQRrmKD6i9vVH3i0GBd0VpISMkKaT0EpUNkEBLai8+Wd6t+0tDTv23BaTj5/8mznVMfUyexxgDErPjw25HHaxga9faEeojPaQXegDnQsdiLerpxMd+UHsEJvZaTumXIvRFaFCl+SykpJGU+Ws+OZ8UJlvDJerU/OY43rUAEKGw+8Pb15g0+wYH+OYKJMdNP65kutHEGTDAgNko4C08FZsCgfQF7kRD4hJIVEQqTAH5yC4kIMRISKrYU3fr7nuskMt4yTaTLNFkFjpAQNNAaoDCA/SkzXGAazx9YpcxKKYZyPswrEQkxHCkI0YsjwamHj0//dsh1POvxQBvxAkFJGkJ406zhJGi6lFFpmAEZYlc+gnK5qRGNOCeaUEzFVjsfVhIo1pEbpxWsXri5c2rdwsXausFI8k15U5pRZaQZNoxpdI2pENTjuLXuL7pxNG0kNxXp1u9P9YWwAt4UcodGgJ+wP+/EwRQg0D5rEUD+AYgqfYDVAsTTKIlVIoAQmKALsFzyvwHblmJJIJOIZtZgqaxPp6dRUak5dUJfiS/Ky8Ap/lbjowy54Tzumh2cHKr3ZzmxnvF2nKGwneYrs9J9wHhs92vf08SdOPv74g1/4fLOj2d+6ds0cA9q4lYQyJZPSVhJGtrSRnhS/ZassQ0EFNugRp+daEDIO/hnySLc6Y9A7g+A1bmo5euho52Hb4eGvhx418uBo9fi/yYPfpsHsOWxu9cz8xe08eI57Fl91wuhdbcfWxluQJGxrSB3Rk6AhkyA5cwbz3WF1gAfSWxqybeNliP31vX9Y7B+PnYyfhNjvzvdjhb6K7Q+K/bbdv974x0nL28kvCTGGG7XLD9ULcgLIr167ANXl34qXH2z+fPMHLW/VPPod123VvLCIQ2naqnlvI81/Z2AABL5kaGlQAJqYEtNv2YHTOJWPgwKIbSkTHQM2c2s/X8ttXyfqQhWuU6E66tfldb38tut2hKqOHR+H7P7FRlHfIHr7Qg115kPu7Q3iuvv1DcYYBW6QYFRQQ41vhRaC0/7pfcG6t+oe95QceVvapulcA2tim88aBZ/dUQx/0OaX3lk8GnXzHF/jy/w4W+Tz/OXIueBp7/LY7OikbXKo2J+2pnuUTtSOTlDdeB9u9Q05RzC3bcQ16B109/m7w+VIKZQPFoI5X8aT82RG046MPWXLDDSw5ulW1aH4JAARgQJTgBzWNm6zoEvhs64l53zP5MFcQPJIbskt2oQ+2NAnNr/a+Kz5PH9GmdPmkrVsuVwp5iaSNW0yNo1mjCy6Y2PvxgELYhCHWMTy8EYMz/AsT+t2aF67/s+AkixgJAMcSM+uCMiPIO9DHjSmy2AxBJqQ0FWhDBAVo0HnYc1r6//M6bAX36dXNSQhiYf3jqtBukKIQKLoIjEjlPkcryENsE3hsC2VCJAHo6Fc97fGwmKqEVv3izF97JN3NKYGGjMjFIxIAe3L69oXHM3saF/Y3vryekejYkFHo6d8Vp91dHDQMeDoHmvH20PH6ENoAA2Kw7ItNhJ3xp2KJ+FX/YlwgoxjZJxWmTSrsXlURltYmxAMygZ1DtahJ32C05gMkSEKkTKOlfAqUSemiTl6SajzVbESryglNZfOa6msWlALsXE0iSpUOVQI5n05dwZzp0Y1e8qetGu21LBmS9sz9sxowVXylH0TwanwFLmAVtB8fD49l5kpTdWrWG1iobiSO5O+mLgqVrkJboKdoMt0kSqTOSpNZUCaxuk4DeUKti/qiSIAVxMMYgSQGdLpP6Cj3s+gWP0F7IMRKJ6Q8EQ4Hkh4Vcyb8CQcidG4TRoQ7LyDdVNu0ksE8VAoEiL9pJ/xQWm0K66ML+3N+8dD2HioEqpF6ng9XMen8HqoFqoHqr6yp+zJO9L29LAygLqNNtbm+q1te24xajFLAQsCrAYqw3A8x4HQFXT+ROqcV4rEIhIUXjko+kWviI1yHsYb9RHBEO6PeKNueoSxMf2oB7u9caJFZ0zSFrIafTjx9/bhTlyf2SHxtNHSiG63NN7qAuBGS4PabmkYOb0+0/xAC9A1mUoxSWa7j6hXeIO2xwCs9JIHBRBrfOCfzOjl+FXtvHa+uFiZnqhPjy9mFjOr8UvCBCDAODNO55kUnaITOmbQMmAHpq8VODSxI0V+sZFca7GgDroH74tYA0Neu9fmHLV7RlzDvv5Qf6A30kX2kO3cEYQ1f/HvcNfGBfPr/Lejl4KXAiuuOfvccLUv25k/lTiGjqABdpi0k8P4SMAZcnjdTq/L4wjacAwIf2jGN+2tO8ftFXuhP9OT7omfQu06wqTWXregGaZOTBLV0Lin4M07MsPqkNolHwHzfnnz3sZhQJgFpZ6qpcazxVKhmK4kauqkXEdTcP2PN//BgpaphfBUCBB3tOwsDmWtWm/yuPIUXN6xebwhms/w8/JUcjo5mYZCVshX0lPpmjKLFnXbtJlPtu353u+2pfRO3Fs+DL6tLaV34rZ9uHa+BS0yi9QMOROpBSqByljemXKl7MqQ2MX1BLuHuoY7Th7f6cSx210+cqfLp7eaw0Yd2YqPrS4fv3NvdpGEe+Nw7yDc25VypkaUAbGH6zLu3f4f3uW7dOZi/cLks+kL4jI3z0xFp4nJ0Hiw4i96cu6cMzOqOaZmp2q1Sq0yWahmsWq6qk0oFWVCqogvchcjpz1n3DNGWzB/KnlCOyZDwGCbrwKbMP+0zfypLTrBGlLYsBJQVn0nXthJeKcyvoNObFznWjY72poKT3M0ze1jab0FB5eywMb5MDgupCta3Qhbl0o62+RABW0+3Lbb1sq/ed38u5PqDbzQjv5+qxy/bdK23VMtqJYoZtMZLRcvCNivzWW+yOWYHJMltahGaHgipIYUv+Jbu+nNz7XK5rVbN+5PFBIFNbNPzajJpJpMpJSUnJGzop5OJiDxKqeySTbOxKk4GYvKRCwiAMkEKnJYJ1vZtt3OaxbFL+N6ZwOUJhRLYKFciNOrpE5HwgIuEIaK1EGAk4CQQJW8sfG9PZsL5tua39G7yyyzD0gHbbAOIwL9UGA9egzCNgmR1llwHIGckjU5t/Zg2+7VVjEmQ4DoP0CbiDpEgTgQSlBQi8DTM5xmLFyXDjFKpiQaW/tSW/Nrezavbjxr4c3N0eu37lk7ZG561m/ds3fj4MaHN95lQQ7ORxIkHqV18LSYJxxZe9KmDslDaAg9HT3m6/J3OvsH7IPDVnd7sN1/lDwkWPm+WF+yXx1Je3MYHiSC0WDUT49BaDhSY+VAxV+PLqAGHmk9z62QS5FlfMZfd9c8ZUduKDcU70NdqDN6ytvj6xnp7xm22k44n/Q/5ftq9HMI+yJ6VDmcPpzqyPeP95edk4HpwFR0Fi2gcbkcA/qbKGsFrZDJ5wq5XDFfKmCDOce4f9JfjdZA75xWl/Kz+dnyVKXmqfhr4dnwNGk0QJMX8iuF05X5mSlsprY4vppdzV5IXBJqfI2rcBPMOFuiscakGcxHKREFF33IZXCtZsSCrvkv9i30zR/NPyIM8DZqNDKKjwX8Xv8Y7oqOkiCukQM9mj8+3zff+4zvmojNcfXYhFZVi9lcMVdMl5RqoiJPAnAj80+un7Sg04GpgfGBUof2lNQMJlrdXq8/GAj5IyEiFA1SITbIBjldzrRX+s85z7lewn+MLqGzsXl1Xq1lyjmslMsW1ZJalsuo8ntkEaAOyCKdtoEsChgpt0XX9L43Y6Alvy2LDj9xuOOI48jIkfAh9Bg6rHaWThX1wxLHvPdM+Bn8Gep59F1s7ZyBTtuMXQbGLiYl49TM4GFJoHEJUItxA52kLXTaLLegg3JHfDAxoNl0LCp5J/CJYJ2aFVe4s9kz0ytT51af+Ra2/u5t5BOhxMYB+UBLSUngeNktNWDcW+EU49hq+95v7mvRt9y3FrSg+6Nf9D3ie8hxqK+9/2Rn31HnN0YP4g+hEeQQnYpLdiXcmivlTruK7ryz5Khim4da9JYKZ7RUSAP7w4BqO+gsRQQDnfXGxVstlbbd/2vnsEOSFdC/ie12R0rIguDbanfohx0SYxhAZ2LN97TUarWJarlansxX05OZyWQtUY/XpSnxu9wL4fOOZ0aWe+vtU8fLh9NPZB6PP4q+Zhx1eS3oHHueXCVX8WXvvG/OWbeVbMUerV3w8G7GTXkoF+4OuYMu76jT6XLY7INYs9ly/uurHSvDK0OrgXPiWW5Rmy5NFScmCwuF2cyyelZdkVbR6v+nJ1x/1FHS5lLLxUsXFy9WL05cTD37+4+4DupHXOchVLxrf7cmWDYdLe9s7EZ2xPE7G7vU28Sxo2XzhnUblWbSnLqPAyoox2IxVcxIaZQXxoUSqBhIBDapC9atngWtg27jwc13teat+Z5cV74735XvwkRzbgnG6exSfjm31PjK2k2thmxWZHjFxS1tk4K4zwtVvsBnuDToYJlWGFGvgAQdioawzRuu2/bsXT+0/lfrDYteJHjgvnwUdkSyNMtxrNGC5vXDaVIkZBD7Eg7MGpeCQkjA/LyP8dN+0od7A16/1z3m8Iy4h0Z7sM03/oMIywdbqvMTU+OVcqVUKKWL6aJaVEpyUSyIKpcEO4L051NcigFVyCVp/VgM05m+wImsflwN2oY0jhHCW7209eXG/U3aorf3QKjS4FSjQ6r3aUOwcgA+oHFhHfZiVEzvyvNxQZGT2Nqv2swh/fGAmLIPZOlWyEmqkDT6l3lYPiyETbAxBhCN1mfl9d7hv7StE62gndeufbB5c/PnNB6J+ql9fnqU7dMP5gA6cJ0yxiiJVfg4igtxKdm4pfFqKyVQ4EhwZZxNNP9m/VetdIZNQlGHeaGMx1QJHC/oJby0rYmTRrTHGL2ZLINCwhrqdeseydwQ1gdjWgyu2qdXf9DCgh6EBf0yPs2qbMyIF6SfFhAM3vzRmxZY8M3rP1q1gMSKIgpBnOhmIrggGwai4jLkPC6EhQhEDKxThFkB9xgFaw421pv9zXWOYgAo9zHA5XQaR7A4H+aD242ALZZCwSq5GIojRUooycbc2sOtzcLa/TSAIorvQzFRicfiwFVSkh7dOlPJ6s4G6Q8e4fSDTL1PJrGNjuYbrY2uxhuiqGutfZJOdaAwvAUHha2mAZ+C8AAuBQDF07AjgiKa+c17Whuzm0/s0dtgbbvl9U9bUHNP8Pbhe4fv6fjSQXg92PnX9vtt/yXcvBHkVO3fk1PPmBu7+V8GXre9PvSdjitPXTl45mu1z9Y+mzmAPqWD9NeiFvRa9BXvy75r9is956yrRxe/Xn2y+kBqP/Cn//Ym1fiy+af895PfLL9Quji7vHr6bP25wneLr6ivo380QPiB9V9uOC3o8egh33H/idGu4cHh/h5Hh7dj7HjkEBdt0q0Ip0icxmkvaxNDnEGY0TYq7xw70Y2ZVgCMlPF4SUJR4mBnVe9GCpqIVcyr3FJ8JjOdrhaL46VKelKdVafkOTSPlugFfFbnY66Kp2LP92cGUt3xEwLWzfczw9EhwhFxE27cS4TIIBFhSYEBVGFFRoAUgpzktg620iiHoeyWQJbj+uSZREErapVkTa0lZuIz8dnYvDwv/A3/En7Zc8VzdniuD5vvrXTmjueOJr6BDut2/P6b77EgF+/hQmyAxololAhTISbI+HkPxKZPCMlBOaIQajRBaWyWS7MlNI6hcakg5qS0kkqoaiKpZOS0lJcMLGa3juwTUZWIhaWQ6Be8BovTLf6bxr9a0KORg65jzqODnV0Dp/qOOw4GnvY/EX0EtaNOqSdujferQ9pwcjTl0TxaSI0mMVKhNCZltIQqYGoN2InREADg3mkHqHyGyuN5vByqhbF6cCa8HF4Kr1KXhCV+PjaTnFUns+NFULjjWi09GZsBIrsYnfHVAlVnxV7C7MXBYm++N2fN9hStWWupt9xXHpiw1+0115zvtG+JeAY9h55LXiytls7WFuansYX62fGLuYuZK4kXhDo/xU0x01SNrEYnifFImSiF01GFjpMyJXJ6qRRoTNJhUz+6I7YPpPSDEeMgi6OABzE0zwDC4TF/0q+OJZ1pzKmNJAe1AbU31iX08kO0jbDj7rDX7/OHxggX4WJGkRP1qANZR95ecdbGsJp7dmzBv+hb8i36F70w3Iue2dGavTZc6ddLYOKk/jyOeYuzBbY426PA2Z4Gznais++Y66jzIP4wsqER0aGMxpyJ0YxTG805y86iY2KkjjVv+J1nOrZa/viWCjVa/vozHYBe8v8zq6hNTlaqxWqhmptITaQqiYlYNVaVJoGzfTN0wfGMfdkKnO3kNmd7BBiGztnGLOg8e448t8PZasNlW2mLs7kYj87ZCHfQHXB5nS7gbMM6Z9sEzna+44zt7A5nm3obZ0usAGc7u8XZ1oKNN/wW9BXm6Ugn0envdQ27bXZ3X7A/0EkeBST2Cn4poLf2oVboipHTjyIVDOmnmQDKKM6rggbVTe+zK/ojcRC7IlhFkFEMJfQDCzaDMgiroIKsPwSRSarZZDZRlKuxCXERPYttfKEFyW917BV5uw8rbPH/tPFomUF/mZ1OP4O9+UBLqW33zyzoFLn9aFmX0MWPxIPZUDpqPFqWmExvP1p2mq+T6VAmGN9+tGzXrv8LzxKP0A0KZW5kc3RyZWFtCmVuZG9iagozMjMgMCBvYmoKPDwKL0xlbmd0aCAzNTYxCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlIC9UeXBlMUMKPj4Kc3RyZWFtDQp4nM1YaXAb53kmZElY27JsOUPXnmqcmXYm08mPVJdtxXGPKHXqxrZsSYxMWaIIXoIBkriIgwBxLPbGfrsL7GKxuImTAHiLFAWSokhJlq3DtWPLaROnnbaZyaRpf7YzGV5Sp9+CtOzMdPojPzrFN+CAIN4P3/N+7/s8z0tN084dTRqNBmlpOXjYfOCA+vqga/PV9d717+4Cex4Be3Y+/1jTTuZPvgnAwxd7tGD/0/TTq/p9q3/15OrBp5r2aTS7Hn1i3zf+4A+/+cff+vZ3Dr348p8f0x85eEB/+Mh39YePHtQffumI/rD+0AtH9YeOvqg/At899NIh/UH110P6IwfgB186rD9y+CUY8CL8Ewx48WBTU9O+R3fv2PUYsu9xreaJvY/s3PPkU00aWsNoQhpWAzSchtcImrAmohE1kiaqkTUxjaKJNz0NETXt0DyjWd4hPkI8Qu9c3nVbuw/59qPvPuZ4fPMJ317Lk91Ppfdxe9dfXdf8azNwst4QygQYnKQoEqdQGoVPb8gPn15WfQ6Bc6ArYkgY45ascwRxlLxjwdngDLUAriNr+c1vaHEWE0mFjNEZUAYKp/AyH+UlQRIiQjjCh3n45JDVp1cNu4HAR7gwfFcQ4YoKCq+ABJfmMmySVUAsFGUkRmTCDE8LNEcBBtk0rHq1ETYSCquL5qkwwRMczmEAhcsW8hBBCsXJIIdseu8zu8EbsXPZvqxx0rvIpdkkFw/HeSUsh+GBBCks8aL69SzPCmw4xDE8hfAUT8LtcAA3RMDuvWv9q5+XmgHJUiGGoWmGCFEMFkJZlPUDDxgCfoByQQ7ncYGEZ4RnEkIRICIbz2hVaBBrOKwCg/hjvMJBaCADEqzCKiE5FAlJEJpA81vQ/usZ7fD+nTPNoIuw+vxer5no5rpZq+hN+RLECJgFM9GRJHxUpEvcLDtCpHxJn2QDF9RjbtzZsK+5msEx7Ieu4643zae727vPnzWcHDhhey3wF+D74HXlVL6l0DZ2oa6fM6+4b3tuB38CvkDAT2OfZu/m7tSuX1yYnV+a/KD8QenTxBfc37MfozecN+2LvdMdFzuqrdm3h4/Lr4Hvw+/a/AHaDK5Qi9g8VvfNOMddE+ayPqcfbpdPc2fZTkzvec9tGrD3O4yeC6gObSfbQCsCzkTaZJ2sS/Xke/PGqnXKPT04j10HS+BydCo7na6VCuOlsfSMUo/VI0vg2jamF7ZSzzAhmmLIEMngoSBMvQ8mfgj4YOpRmHpSoHhKYL5M/VpRC5bpOXwcH0NHhkrevCtjSwzEzWIv18l2eDtMnf26jrZTyAOt9ve61jAX4YWta1UvVuZjIM6lQApeqwzkUDQUYdTF0zwDr5VGNh/XrtxcubRSWR5ZSa5wt9ll9LJrzjVpKRvKhmyXcl5pi7SAN5D789q9a+17N7rX/67YDDCGomiKxuGpcNbLuuGp/BAtyhMCFabC8DQy8mttl66996z9XXsr+mPQBnSR7kRP3JC1Fi1FZ9U76Z3EZsACWFbq+Zn89OjYbBmZKS0Nv5/4QLkr3YMduO/ebjBJjxIVYiRQ8GSHMs6kVbbKxvAFmCo9ZcR6gyZ0AB0IONEhbCgYoDAOIVmao9WGDNMirGAxJLNRCFwBaT4Ba1wWY7IsR9OxgpJXykpNQWryWHRSmoxMhSe5T9j3iQXvonfaWTXXTLn34p0JnXgWtCD3/1O7eXTtO82bf7S7ne1ijLgRN6N2r9M75EadqJMaABbQluoZtYya5/zXuXl2LjZdnCnMTlxaRFZPavduhDf+dE1uBhbC7Uf9qJf0cMj9X+0GZ8TzclesK2MomYqmUceMb8azQFzn6uxseEKakGpSSS5Hc3JaSktxQeIQscEEgso4FEdBZiEgswQbC2dJQLDU1oIVSamFg9A0SrpxN2bHTYQJNxI95AWyk9GBY+BvYi25U7m20e65HthxrjuDd4Kfg39CwM+Ve7m7w3dq12bqFy8vTtwo3Sjcin/M/ZS9HVh2LA9cMo33THQXz6daU+9EW8BJpF+7+b2rzfwvB3/SudK19Fb5e1wXq8f7fX1DVpfT5rIO9QeMqIE0hPTImm/33v275vfvojYOwMYBsGNYIoTR2Gb2wW+eDeEMQdMUqXYRwaAhHwiwHuAELlhbPs4HawsTGt0ECRfebRTZPLH+PKQpbPMHD54P4TQMfo6G0VgIa0T7YbQLxquV6X8YTW9Hb6bXf/MsLbNySGJFVgQiiEA+FFQBgI0D+RDqAqT6FBgGKUj18QYfIhLkdJUQIQ1Tq6YHg8/yGCevnl0f5COqeDwHw9UNtugUJCGdplU6BYrad7AYI8xWNEev9j7wwGheXjWq0SoXPxeGD5XzZV6BXZviMo1oGcTYaCM2wnCMoHYtpfLP+n+sX159oRlyQZAlAMbCbIZUMqJDUBcxHMe8wUHU5bejVswWtOAmykT2M0aAvA5OxM4UzuQ6xwxzhjnbsvu2+xb2GfgF+JXys8Lf5j8avTZz+eLswtjK8Eru/dgtDqmxNWaEqlBlvIgXsRyaDWYD8WCUiOIivA24SAgIyhzAt4oRARbGTao6R2McxgYifsWveBRXajBuS5gVU8wodnGvsG/1tb/Vcdx5GGxqEfC2eEbRKe3pC3lTwVRxjPrGvVPEJW6GnRCr8Vq8nCik8slMIhVPKnERNkJEbQNWvQyOFAgefjMXBAEQaBDzzzYKqz9qhnq7lRg8RKmpgUwKHQNBkoQv6PA5fVa/MdDn06OdeCd2nj4DkKPgLxN/Xf1h5eTc2ffP3rjwqfUfbf/g/zfwW/Db5L9Xf1n955nPV24tf3Br4d7YvdFfpP+FQ2bYaXqKnCYmsBoKydxf9Bd9GVTGZEwiIOVDqVYTwz3Uf0TVhBDGBlmcIRlCJXa4WAomySd6EkMJR8KasaaMyQvJnvj56GmAnASnA+fsbfZOg6HdeN7a4n7d/XrwGHgZHJWPZd/Mvlk+PdExqbvUt+RYct5A73DINXZBnEnMxseTlXQlVUhl4tlEUpS5LeIIhxqlC/MFME41JN5tITv4pYeAtcNQMF84PCa8OnhgeGT4YQyKDaFWvaDWcENsVh/XnnvnTFerudXc4jsOXgOnEufKbeWeSdO8ue645r/l+5C4Cz4BP5c/S3+UuVu+Pj6PTNQvTV0tLRVvxj/ibrBLgbpjfqBuqOuQtayqXNB6wQ4MS9uGJMZ/6bVioYeGhBYYAfYPVK79G59pN19e39PcfkN3WVfrrLUnz3MdrD5ocvUPDljcvW6j/wLWiXdQHaATtIXbJZ2ki3dnjEjWULTUXFXndLDOFdm8kBPzYk4pJPOJYrZYLObL1ZEJZPW+du/6/HrXaqEZnMM7Pe959AN9vQN9th63LqDznyVPgz7Qx5si5ohFHJDs0qA8JA9JgSghIYRIyXSCiYfSIA/lV+GgoeMkXuUWISw0TCUXZWNUCkti2WAeQ/JoKVjDatgENcNV2bJQFIsi5P14Rkmkolk5GylAq1oi875sIONJOZKIM26LWxRrzBIzxU2KOWFNWZK2jLPgyHnKgZq/QkyBOTApTSQnkuP5aqWMVIqTubnUXGpJusGV2RIDF1WghskcmSaTRIKIkRIlkaJKTw2CQjgSLgLADoJNDUkGqgsGLQ4Jq4OmVVsCC5disXAgGpSGJI+MuCVn1CYPSGahl7OwNsZBOgkP5kP9AdRHeIkh2gPcwCLZk56EOzNUCCB5XylQwapoNVBFa2jVD5e35Mm7CoMZCC5pFg1b7nH/7q79u75mc1Wv9ZUf+tJrfeWHvvJadS2YDk3h48RYcMRb8uUHM/aEPW4R+7ketsfbber5Ha+l+jjVaxFf83HehtdCOQxqB9nwcezX9qanCLg3+nBvJ9y7D+7d7e0xdfd3/J/7uOVLVypXR64klyBzTlKjeA0bCRSHikPD7rQz7UgOxKxj49VKpTSSHxkeSSLlZDlWlEqRcrjIfcheRWdds64JS8lQMmQaxi98DpxB7n+s/V2K2M6/miMM4vA1chRsUATV8LoqDnabIlpPtHaescHlfwe8BVrlzlxnzlixTdomB2fRRXSBvAk+QdYuQ7x8A686aan9vz1pQQXcmrTkkAgnLRWvsIX3fk4LToc7pF65V7GkHWlY+KVAKVAlxrk5di51uTZXq9cXP0TWtdu5hMSi7iw0mGVbmyGzgAazMFujzvbecNT5/2jv9+86spUndWwLPxzbtifSLZ/xkCW3xjaYp0nt0tUrF6+Wl4pXE0v/u7+HmHvX3M3gFfxVz3HPG9bTRp3xfJfxXftZewv6BjADqzAQsYkDUdhFCVvKnrMP24rWKrK5A4IBMFEM1QDzNfmAmrxdGyTfABPZro3fF0ylMlIoD5ez5VQpUYqV5JII61eocB+zN32LtiuWWUNVV2svtCZOJN6WjoMfNUbCwWawwMwT80Q9MOOe9EzYK6acOaeP6TgH66RdlJN0NTyB3W132B02i7UX2dzQLp6qd8yZLpvq3nloyaditfxorjSSnciOJy5G5+S58ByoN4Zw7+qvvc3gNfrHwa5g59B7DovTZHEafEZvJ3kOOICb8wo+HhWwMCGQYVhocD5iRYSFP1gJRIDEylyciwGZl1WRgB0g8EJY7QYQBjIUv3gowaYBUgDDAhwFxIQSS8mpaC5cihT5i+AqsvFKY5yHMVv/qVDZAhrYJOSL9MNxXgyp/fPVOP9n6jj/RWOc9/p9D8d5X8qfwP+HcT7pS/nE7XG+qem/AUhHeUANCmVuZHN0cmVhbQplbmRvYmoKMzI0IDAgb2JqCjw8Ci9MZW5ndGggMzU2MwovRmlsdGVyIC9GbGF0ZURlY29kZQovU3VidHlwZSAvVHlwZTFDCj4+CnN0cmVhbQ0KeJy9V3lsG1d6Fx1ZnCRexw7KoECNLtpFt5si6fqKj3rXG2c3l2N7fUiRD1m3RB0USVE8JJ5DDmeGfO/xGJLDUyRFUqQoSqIki5LlQ7ItJ3ZsZ5PY2TTJosm2G2yR5o9F0WN1uUHfyEo3BfpH0T86DyKGEPG9733f9zueqKx8Q5lIJCIqK3fvUmzfLrzv0K2+vLS8fGAj3PQY3FT+p0+UlTt+8F0I/+tlkxhu23Lr6cWmrYsvPrX4/JayrSJRObFpyx/98Z9893t/8YPntu/ee+CgdP9u6e5de6U79+6Q7tqzQ7pz3x78vlO6c7d05wv7pLt3bJfuku59QbprH/7/3t3SXfv3SHfswz/dK923t6ysbOvGCjHx+BOiDY+Vb930nc1PPrWlTMSKHCKnCIigCIlcIrfII/KKOJFP5BcFRLwoKAqVPY1PU7ZB5NhgeOxCeWbjWMUtcQcx8Hjp8YtPuJ5s2FT5nfObXZu/fur9zSsHlxcXv5bAY5YqTY26RtbY3NnUXqN601BlOEkdhXWw0SP1tfg6AopgF98T1IV0QTNP+QnKx/COMBMCMZQCERRCPAq4/S6f2+v2eNwelxdxyA/CdJyMkWlLzkRkzSPmSXLCfJGZQ+NgzDsSLASykXQiFe9PhXPBLFdARTBuKxiy+qwmpUwSiqQs3h5r65fGWvtbY9JE+0BbUjaoHFIMaUYNk/oJ2yy6Dm7wl5Mziemh8WKeKA6VUlejV6LXfG+hIZB35Nk8naOz1KAtbRuwJsgw5aM5u4d1CYtBDIFoZHfZIQVJZAEWSAKb0wooQDvsDtbhZFkWsIgCFq8xYAj08poQoQ4qgzJexrd5WpAUdLLdVqVVbTYY+wxmnU1r07Bq1ANa/bJ4d6w7pR7SETndSO+4oWgo6if0E33jfUVdUTvSM6TMKdKd/a39LYE6WE3Ais0rd1e2D0oADVgn62BZB+OwO+04GSsggQkaoAVZ8aJcjIt2s26nx+mBHsgRi0+Kq0+ebjjTfUZ1xnwaHoNn+MZkQ6IjpyqqxvqmyEuWWeYm+gWxVBIDL8KdceH2cB6f24+CeIVRP4zCMAji5Qc+B8d6HS6Hm0VCcR4mxKDK0+CX+TpCypg2qh7QZyxpc54eQSVQipaGp/IXZy6/RSyL/4fYPIrg2LG12PxabC+O7f4m9tfPiIUjty/pJfDHtpf1R/uOqN7srGuva2o/pz6nqbQcg3KodPd4VVyPXx1Rh3pi6mRPvCejGiJWN4i/qRPDMk6hTjYgVMoETbiRVmTDdaLxYj3A48B/iCO2bdwjxi9Ckng4fW4OT+p6AVAMRB4l6cRJ4uVi15JkiYdFcTY7mM4mMonBaCaUCWb8GS7jzbpz8B68abqsuqScaBuuH6pPnQ6fiBz3HYWHcStXX+qVwFl21n6RmrFM6sf0I+qcYkCelPINUAM1rI7R0lqrzqQxafrUGrWmR9HdSayuiGdPzdSXFNNdM6ZZNAXG+eGBfALvPRYfCU8Epv1T3mk4LUzKUt/ib40S8DpTZW20NhratAqtQqHtMLWbmu01eIc+ZHQbXFY35bZ5GHx+h8fJAS+BPzgoLB8MwBDEYEV+JBTC63Ljx4WLgyfKhysRcoZhPyQGYNwd88V8YT4YDUR9CW/Gk3GPozli5UfrpXSvlzLgEvr932YJl5L7dim/PihObCv/lQQ025Ums9GotDejZqD0mSKmiH0QXQCTvmw0EonkfFP4S9YeMUdMvm7UugaNwMrzS7wEKu19ZtJMGmkDIh7+pgKc8dbyTYGm/raMIi0vaCaNE8ZZagFNg0nPqG/Ul/cN8hl/0h/zRX0hdwAReBKAx+l+NIQ0ol0UpBCJMOgBBWlgBwxknAxghMHC2HcQLEvSfVQf1WNTUHKqg26lW+xNjgb4IjzMVyZPDdQUWkvNU/K53ju971g/RJ8R4GP+g4E7iXfy1ydnJmZmR2+krqdvh96D9+Fty5zmqrokG20tNGdqo6ej1f5KeILoEq/+zVUJ+ofe95uuNl79+eCPUQNoo2RGmaFbp1NpVQY52U62021ASiwZKzYv/+tyaXGPBDOVDdqcOH0n46SdQsIMQ1OUjTKRvRatRU32WFVWpV1Od9FdDhkkXocn+TOpMwMNhY5Se6l7Tn+775btA/Qp+CL4cepe6l5+frI0UbqYv5acTy7wtxExBHKOISbHDFJpKmVLWuNkvyVs81N+irNj+mEEGnLZMXfiHKAVkQRQOvpoK03aGVxSQHLmoCloCPWGteGekCKk4Nu5FngAHutqOFZ/TLsLrRIEOMFVB+uD9bHWlHxAntUUTAXjuH0KTYBRLh/KhzLhVDQZiYejoUgwyK21z43h7Ha6GTfeG++OCRHD3SyMyLby320r9yw/L4Gr5cZn5fvkextfqcTPqw0HlAeUz5lXN0BiNVdhgCaPKWji7XGUI7aVk2Iw6ItHghE+4o0hYvFSxeJj4Cvjp4pP5O82XKu6VjX1eu5g7mBkN/wrAdev2yXgA9u7hnf6bivmpbMtM+eLJwdPZV4K78TBf/q1dfHlis/Aff7mwFvJyyOTM5PT+RuJdxP3Ah+jL9bGuH35w4wEKwxNY96inJTT6jSDPtgHTcjqIvGRGIxXJ4cCxG/FTfV1HQIRnrZUwXOwnmsJNYc648q0Mq3NG4uGUfskmgVz/MzAZHJiuHBhkJjMXEncDN8M3eUeQGJxy/0KMMYW6ByVtaQMcX2/NqwKKAMybwseMCnTYeu0Ksgei8qisxpsequFsSOCBhiouLmsx+llOScHA04/CKAg1vewm3cFvAE+4PfH+FQoFRoM5nkiHyj4i9woV/QUMR/eoC6ZZo0T2rwiJx9oCzWG67mzqJJ4+C/i1X1Lfy1Z/bOK87CJ7aDaKSWJqc9g6LPqSA2jRkpQE20ZVuYV0+YbcBpO8ZPp8YELY9OXiMWT4s3LryyL/lECdMDgJB0kSzE0zVAMyZKMhTU7TE6jw+jECxhhDWzkOkJYqhLaQUKTMY5YL1gnGWwRiKXU6tNiElAczdNBRz8aBNisuDD/uQT24twe77pdIRa3LrZXYHJb8y/f0gkXZkSsE2EYdAb/oBOMG/sIyBKr7YsGsQd4MbtgtmXdtDCgiMI6ZMW2QuXQ0yRtpWgbIlYND50V8Ii/JiGLd44arqCo4Jw8QVfQE/Dwbv/ajhzOxAU8EI+604UpFLsUF43DUUhAmqAAzZu3bfz5tvIvl5+VgD+3PKfap9rb+rNzx88eP3r+kOyQ7AXDs/BZuDfys/xPh07MnL9Zs9D+vuYz9WeWf0K/J8A/h7/MfD74+fiDubevvn1n9qORjwq/if0OfQU+N91XPJDfarhcdflU8dX0gfT+4A/R99Ym3yIBv7S/Z7lnuqNd6Loku9Q0fiZbnT0aPoR+Ao6aziir5Y2tsvOdNZoq01HTEfth9CoBDnIvh4+E3kidGq4drplqm++e675r/gT9LbgbmR+aH5qeLFwuXEkvRO6G7vh+gR6smyDVUq8EHLK+1nus96j8zZba5rpzbSdVJ1SvWV6Eh+DhYOVAZer8SOtMa0kxv05jnxDgw8B7Scy7Q9cvzE7OXhl7e/Bm5v3wJ/CX8F3LgnZBM9s50TDRkDudOB4/FngNvbim0qQEXGEv2S7aZvDUjupG5dm2RFu8jq9GZ0GDrU3fpperNDJ1p76VrCfr6Bp0mgBnPTV8vb8+2pLqHOgYUo33Fnsv2q7Dy3DaX4wX+/OZ9Eh6ODYRvBic8V5B19bPtPuRsRNUhXHQDlqAvmDr8ND2QbPQVWTDjCowKxZrvLBhWUqLwTxbsheogmXImDakdPGekCqo4GQYwY3GBnmjvL6+9hTxH4T4D7EF0/hNbAPU49hY3tbMkH3NNK6boZVn1g0bwhrOefCMYzPAYwcfgxEYwk6IBz7gxWZQ0ErXI8O2+oR47uZcaT43NzgfuQZvwXlrSTulG1Nm2zPtiaZgbfC8txIdIR7OYszWLB9Y/ncJNGChwr7MSQF8bCxSjkeGmgZ4mj3YnrhsHkx8HtJldluQCRF6oHcY7AZab9Eb+4y9ul5Vb7dWppYSD7/4fzrkM+JMMZ1PpQdSyXgynAgnAklvwptwJ6EfBkBozduEHCFH0ME7eJbD5orwshijTsSuLQbaEZZmRELjWu8/WhlYfAPrNbBBO75X4EJgs8rgc9AMY8ePyao1a01Ks8zcaW4lm6hGWy17DhJ74E/Crw29mjtRqlk4t9D6nurvun9l/hL9G/h95KuhX+d+fQFjd+7t27P3Cx8Mfxr9e0SMgwlH0V60j9oKZN6aM6dNaVOM5G0BG2fHHowW9Fq46QgcgvXaSuDRIwXX7KRwZ+zs+mWHQdhEc4awPqyNdMeUUVmkJdISruWqEXECVJP4dqhu6uioba/trup7o/ew7SW0H+wPvBQ/2v/G4JtjjSP1JdkVzRXNAvkOIubALHchMhkajeRiuWgq0h+Oh8K+IFpzYUC4ZLgZ7MIol024fKG1ei3JFx98Gyv/y1b/n8z9tpW7+AoyvXJu5fsScNh6XFutqZbVNUubWs8qTupO6F6x/gjz9V8+bK3A+eCWOQTsOoV8sL9xPsrHKAg3xq4dZ8Q8wq5XyKc8LwZZXwI7i2CMi2NZGa7IgRzIOrOOYQb3iRo3jWvHNQVVtisjS7ZFGiNNXB06t0a1Jgm4Zp3pHdcVe7LyuLy/KyjzyjxdLjnOZtfD6OIPK+bBjK8YGQvh60EmnY7nw6PBEW4CXRAqWFb2nzhhg5gNCmVuZHN0cmVhbQplbmRvYmoKMzI1IDAgb2JqCjw8Ci9MZW5ndGggNzQyMAovRmlsdGVyIC9GbGF0ZURlY29kZQovU3VidHlwZSAvVHlwZTFDCj4+CnN0cmVhbQ0KeJzNenl0G9d5r2CL5ChxFGeBSyVK0jjradJzZEu27KTHL4lfvC+yLVnWTpEiIW4gCGIh9sFgMNudGWCAwQ4QIAAC3DdRlERttrzIjmu7idMkL4mf074mbfPavndOm4AkKJ/33SFjqUnOO2n+6CnvAQ8XzMU33/19v+/3u3d0mzbftEmn0xF79+7a1bdjB/75jv76t1c6Vx5sQLfcjG7Z/OkPbNrMffkzCL3/wy1NaPuXLn10ufEjtXMfrim3bvqiTreZuOXWjzd/8jOf+8KXv7pj1+6v3/etBx56bM8z+w8da+voMpptDo8/yEuGe3cZdu3cbbhz9x2GnXffYbjznrvh5zsNd+4y3HnXPYZdd+ww7DTsvsuw8x74/+5dhp333m244x54627DPbsNu3bAv++GGQz33LXTsHPX3Ya77zXcCW/ZteteeDv86d67DLvgfXfdBTPfCe+4Fy6703DvDvgTXLbrHvgVvwteO+/etGnTFz932598fsvHGj74gc1NH/34h5s/1HjTzbovbPvTT3z6k5/94nbilk9tvf3Wz3xEv0nH6jgdrxN0SCfqJJ2sC+nCOkUX0UV1qi6mi+sSuqQupUvrMrqsLqcb0uV1Bd2wrqgr6cq6EV1FV9WN6sZ047oJ3eSmL0HCN92k425y3Ty3udgw2fhyUyeR33Jqy+IHxA+23PLMhw5vFbde+/CbH9n70ec+9pmPzX68rH/5tp8379g2/4mff/LZ7U2fuv1Tr336R3/62c/e+tn/c3v983d+YXXr6rdWVmvv6dET5F7LEcuh3ta27rbOI5Z9rn2upwOPohbUJndEDJGuiDHeGxtI2OODMY8aUIlAhImxKS7OZ9EwSopJMSaqUkSKyIocCodCUlgMiaqQCmbJLFnwVj1ExTvunSPnyMXgBXFemAqNxSfUkXQxN5zLFhOVxIgyjqbRdGDcWXGVLcOmAmHK9eROZjszhowh15ExDHUWOvM9pb6qqWqbdM65Zqhz6Hl0OXZ+aLFwujI9NUZMV04PL2UupC5Hr4ijQpUbY0aZCl0OjFBFaogq+BIQc4SWgxInMyIrMoREi0FEixQiYXgRKVCCXwjwQS7IMyzPsqzAiLTgD7tUtzoYs8YJS6I/1hPrVTuVE+JJoZcxUSa/zed0OV2+Qb+NtjIWZEEGtTtjzvQXLJVBomoft0+5pp0zzhnXjGPGMTU4bRu3VPoqfcWurCF7ItqCDhCocevqC6s7RvWIERie4xmGp3mapXkf8gse5EYu5EGk6EcBiQ4FJVbiwrwshFGYqG1pOrDnwPGD5oP9B3zPoT3ooNo21DrUVTVPmSed8+Q5/9ngFfQGsTzThEJiSArJUjgUkaOSKselBEqJQ2JOSAkJFOdVLsJHuDAr8zIrsogl1hJNaH/4eKRX6U70p6xpS85ZJIu+keAoLN9can50rnr69OJLxPJ7v3futJj7rblDbOg3c7+3pQnfsmHZrkd/EXjA+bjzcfP+rpbuo63dhy2HLPvIJ5AJ9UtmZSA0ELWkrImBjCVvzZlL/VXi9iYUFBhWS1OQp7kA70cUpMkFK+hFfkgTJdEyDYu8kaYIsb3h7iYEgJTCsoxjjEgxCWIUU2JWHBLSQkKAGPmN+9fAgRhibalpZKRcLA+Vc+V0MVFMlKKlcClclsviXwpXvGfNZ/vmOqstoy2F55JPpfYoT6JHYSXrjwzq0RnuDL1InyZnnZOuCWvFmDflT8ZaRbswyNmCdtpG2X12j81htVmsA/3mHqK+3LS493TrKdNC3ynPorggTKnV/OjQ8Eh2cmg8MRtdUOflBXQaA2XZU/snlx49zD7ra/W3uk5aTRZjn+2k56S3hT6ArGhQdEluiQxRciAUDLFhPgRZUAgUFhQhghQUEVRcq0gVVTEiKaGwHJYlPEIohFQeZyKFUogooiEpE8lEkrF4OpaKDoVK4WFpBi0Rq3c1IXi/HJZkJaRAKlUpIcXF9eVOC/H3U6mwWp1xiCPeu7spt33zT/Sole53eVyePvqY2CYYI56kOxUYQafQbHQknc6kqpHT0iJfDaY9GbfSjwxaZaDVHcshPTIx0AY8Pg/jFIm1nzWi55Qj6olYa7Zz2Fgyjltn3XPus/Tz4qIwL09EpyKj0XKsrA5FM9FMJB6KSkSIDwsyH+ahfFgICyof6t4Pg0IBgUG0wAgsz/AsHhzL8gTLkIyDclAWyhjopbqDJ+gOupVrQd9Aj6pP558uHB49sdB+ynhp8NXBq/630TsE+uvYd/OvFl6tXppdnD99dvKF0pXi1fgb4veEq+RFy0Xr6Z7x9sn20pH0c+n9kX3oKaK3qf7wi3rp3cE32i+cWHqqfJ/YLpwM9LqNbrPdZrab3Uaym+wMdgqdxHJ349aV1ZW52r16DHKBhqBpCDXI4aAZJkgFApTXZ/MNeiykmRrw9QWNwV7ayHcj4jH0VOxA/kChbaJzoXPefNFx1fkK9Rb6Mfqb+A8Lrw+/Nnp5bmH21JnRS4VLQ1dir4jEqFDhKsEqXQwUqaI/T2Z9OW/SH6UifiUoMcBAjBSUaTGAgvDyI5JA/bwjSAX9AYYSKYFUvHFf3JW0p+xJS9IU74t3Ke3ifcKTPa17Wp+03YXqmwn0lHIgdjzekunImwrGEduod9w9Tc+Jc8KkUo1X46VkPllI5ZKpeDIeVyIiERZCAqYPWLygRANxU9rykRgi2zf/avtmbuUrelRv8PyZ8R7j7tYHntm7b9+DrV8zfb3vq776zYioVxvdyC17Ex6VzqEKsX2ztwmVI1n4gFhaSYtE7VxjrUH4pftHfT8yvnH88r7L+049XLmvcl9qJ/oqruuHaT16K/C641XnK32XDWcMZw5PPVN+pnh/cqdI1L/5nqt2f+NPhb+KvVh4KX9uHAOg+nzu9fx31B+iv9NgbFj5ARA8xQWDbJANcH7Bz7uQDTmAt0iJFAMyVGuIVZBK/KKpvaWl85D5sPkAuQ8dRcfD7cn2eE+ur9RftI+5pz1TgTl0Dl2MncnPF2arE7MjxHz5XO5K6oX4a5G34E4+9GYjmuBGA9D7fMOunCtjT/Wr/dHuUIfYKhjYbqqbNPnN5IDP7ndRLr+PoSQCkC8xMiexmC/CHNCEEBViKI4yYlKKyWo4pqpqNKMWE8NqWR1TidHoZGRKmQpPy9PiG8JLgbPec645W9U01pc/mWhNHVcOoX3E2v9uqj+y/BV9vbnxuGBguuluqp+0u+0ul5OyU9bgAND8oXRHxVQxznkvAvHNx6aK04WZqbkloravaevKt1e2/oMeWQU35+MhziDDBgMsyfhYH+PhvZyHc/EwoEUeQm3hzmRn3JSzlQlryTXun6dmgmfRZWI5Xdc3QVtX6DgTZ3NoBNRKHFjr36kVBdQKUdPXTI0oLIWl0Aa5ybENcssCuWU0covxCrdBbpAx6BN1U83cFBIAoDx0DxaXBoanRGmaAiqDJhkyEKQAJuY1TyN6Qj2c7c31jLvPiWkBQpETMuQ3BOHIkZAiKaCcZEEbvATrQUiYrGgJE5WG9uXurdsbnty++W9XvqRHt/v+3HyPebfh/gNPHdzzxNFv9Hyr5y73l9CfobuT949+u7rn9JEXD79w8i3rO5Z3yH9EvybQ/038ffnd8k9nvnfxlYsvvnruBxM/GP+bzD+LvxTe9XzX+Lbxldalvef3TT84/LXivfEd6PMY+Ye8evR28C3f677XbFeM53rPtc8crBwsP5m6X7xfeNJ9yHSo70R7z5GeQ7Z9nsd9j9OPoAcJdF/kgfijyUfye6tHxg7PnTxvvmC66ntb/L7waup89WLl1Pzo0vhS4YXk68nXlDfR97QSeXvVsWzVo29SD9meGHzC+OyJY+1HD3XuGXjK/DB5H/DuI7G9w8/kj0wYTncs9F1yXHVgGvshgd6OvZF7bejVsctz5+YXz0+/VH659FbiR+IPhNfJF61XrEvdM62zx6sHhvbknlQfQt/UqpnUo7PMWWqROuWes0/YJkylk/nOXIu6XzwkHKe6XJ0O44DVaOl2dZBt/mPBo+gggQ6GjqqtsZaUodCT7waJ5Zh2LFKXxPPC6ehUdjpTLRXHimPpmfhifCG8BMjb0HXjetxdOI7b0HUUTyIfCBYHDDfyiSTyg66joTFB4UGLAl23nG5CF7hTgXF6nKy4i57CYNaStMZNSi+0iDb3ib723rbjLVBfoL2Y353bjQaREzTj9bmZ65pxdcv7ek3WtJAKKI+BFsyIWSEJNZ/go1gzgF4DBK7rtfqWpotXLp6+WL0wcjF5UXxFuOhfGDwFWSt3lTtzbfFjiaOhvegJYm0Oanb/ys6Vf9RDAF6egmAC0KZojuU4noMWKzICoFmmZUobpDa8olckXIKbdTFu2k06PU6XY3DQ4jDbjZZOYu3H/0k3qW8qTRXH8qXCcCGbg+aTU3PhXDgv58DIqJgMeRhcnEtwKqeyEbiSCAFnijyYCU5kREaiEW5KXuTewHOu9qAeaAD3a0qgOSxYgWg5YDE6SNNev9Vj8/R5e7zdXoOvNdBKHeUOIGI3+m/JB6sPVp4+feiFw1fa3+z/ifkn3n9Av0b/lvpl9d3qu6fevvDKxZevnvnuxPdG/0fmZyIxJ8yyM/RMYJIa9Y/7Kt6ip+jKkCqlUuB2GMBVEEgpCCwSgJ4JARLYTvABgQLtDAoa5A4eAggiwRdxJl1Ja7o/3Z/pSbenOhJHI8+KxDPCft9hy5GBts7OY11H+vc6HnE8TH0TfQ3tVr+ZfTT3WHnfxPHJlvmu87Ylywv+qyJxSTijzCbnk+Opaq6SLqSzqWwiFVFFzJMyaFIJdxsGBwSr50OedWKr/fj318r/Z6n/SHG/ffU74EBmVvetfk6PHiGfsj1ne7b3WJuhvf1g39ODz9geoL4OfP2FtWON6/Gw4AchHp7iSIGEeNZrlxR9IgV0j/O7UbsQz+ZCEypF81i6ZJQstJXxxqpQEUb4EXacmaKnAzOeGfusdby/bCx3F04m21KtkRZ0SDMPQLUXqUX79ODUwIgx15cxJnpCveFeyQjR3LEWrn218TJ/WplKTSWquWKpWMxV4pPJifAMmscZXJlb2V8r6NHhQKvzpNMw0NM90GNud7SQLd7DzH7UjWAipS/Ur1hUS9SuumCQ0UCUoCPBGIfRnUF5FAdnEBMj2B1gkQ+uDtxBWIwKcSZFpfw5f8FH5Mmyv0qNkpPsrFgRylIxMqwU1EwiG0+k1Zw6FC6gCioFC56cN+PMWJOELTkQN8X7VVOiF/SgKdmXNiUtOWvBmneWvGPeSnAKLSCQE6mJ1PhQtVImKqWpoYXMQvIcePmiUOJLTIktBHNMnk4HUnQqEKMjrEKHAQcAJOzlof40iKMAQBwb5wAoLJDGHC44oCAOvDwrBGQy6ot4VYdKDEbt0QHVGukL9YomYUBzZk7KS3q8fi/tpl2cE9bYFLEmnSlH1p33EcOeoq9KVsiKv+obJSu+iqfiLjvzg8O2rDVlShqVLtSh1f2O1VvWccwDjjXcsAHAMalxvhPjBgYlBWTw8zITZkPwihBrxLKnYc33H+W6P7IArr3eVPvZ8s2KEg4r4W0gdUJY7GDrHgd9lAFpkhLiwJKqAGIHeBKEocaSwGMUQxNsgKYoqv58/fvNtb9fM6g+BepgWwioHYhUk+Tp7Zutb+jDrhCJPRYXZBiGpVgf8gpOZAfh64RFIjesOqNZdRaEFVG/ufZmw9p04+311zkaVo/dxrIsQ/NBLROk4IJM2EEzQyZEKsSAw2UjSEVqKB7KLD+4ffNwsxQBRQe3FcHyTY6JCSkFIjYvDgs5IYlSfFwA9uYUfGkQ8EMTyw9srx9rWLuyWtELjfWBtfcalvc31u3L7zVsXQ4tN9Y+pYdw7bybH2TdrJtxBd0BD+32u32u+qfqLc08AwGyECkLUcIAP8lru0nYWUpgkgCinMTL4K/DCJQmUftErdRQ+1gTykqpUFxWlWhUAX0dgjWT8ZplsY3mknyMjTDRYDgQokKk6EHO/5J64o/dXDnXtHT+3Mz58lJpKbGkCYpTvysoHifWZptA7X5l+2bb9/XIw5EsxZDBAM3SNMXhgVUxsacRl5Un7JG9EW/Mp3pTYFgzvoKnsnbrirF5cNY+bz9tB8HiWCD4RukgwuMAjMPENUiMlkyeCXKY4P1A8L7rhQoE78d6Hmzn7xB8Jp6JZ5WcSPxtI2CLT/IpJhFMBOOBGBkDnxlzxgZrZ9auNucMuc5Md7Yr0w2jJ92d7sl0p3tTvYTYiC4JV9CL6EX4/jyx8qi2syJpOytaHnE1ajsrGiQEqEaoxXXzEVrfWQHkNm1dXlvZub1hmx4HzNECBcTDCEFYRIHnoGQl+FUrMyrkh+GVIU+yUxoUCbNgYxy0w+/1+pykIzDAmFgj34naiC/UjjQpmuPGphRbGnz5jZYmSNJBHzSlI9fijQhUDcdDBnlcp36tTm9okVDkwRBuknj3hQsjhViJ129rIsGSBePsDZZsfQNZUkLwBR5MVKB33vbPjegvIy/GzyeXhubK4+XRieJsej55JnpZLENbGGaKTC6YZBPBKAPOFTSFHCRwrGDA/BCtTyOjhgvbG/yrX4a6wVuHIMQCLFXPXvtJM0+BGWeBmkAJ0RC5B27Piasd40n0Ih/kLICVSpgNA+CBnp5a2dKgNvFU/b9f2yIEgNaAoAA6FMzk470Ib0PaNy4Hfvv3l0fr2RX4TBWkZwR0kIIiCCtUeIVk7EWjYlxMoASsOK6bOOjNmBDmCAX0Et74gAwyNeO1jmYxIEVrh1c6ACmKFNoG2ZIV7XIscZNQeBkgbyxXowJQqqa28PWIrXVf62yW8NVdv+dqTP3r/JMSgFHB/4c5hYOS5TYEMk5l47HtDW9eZyD2txhocIOBqBtYYp2BpprQLD9JAwP5K56iFxjIBgzUrxhFg9DhNvQZgIGO/R4G8m/MjWd2I+/vE/va3Jw2NwlzewoOmNsWN2tzG9wdMHfrf7pbunB6qXp+ZCl5XpwVJtmxwChV9hZdw678YNqWsaQGYubRidFKpVQpjuTKaaKcLMeKkaJSkkviy8J5/zyw4bipBGyYbYthNjwEDnTtJW3bfEf9XT0GMocbD2YtgN9vWGujBYhYXmw0VtDcUHPLx5pMfeYBs2NgcMBt8Q2QAwEzO8CY+X70GHomcbR8tGyY6l3sO2O75H3F+3LwNfQGgX6g/lXmtfRr5cuTZyYXT00tlc4XryS+gyUfB5UXLPqHyaKn5B4eLNlHLJV+4t8gWSAaN44CFA1UMQ3RuA9gSEZAT+BOIP0GVNvrn2uqP7zao2+53LrQWj1ROZ7Gm8Od/j670W41O7qdPd6OQFugjW1FreiwfCxyPNIS78h0E9muYn/FXrFPUwtiQShIQ5F8OB/LJwvJQrZYHM6XKuVJorYC/Biq/dP4esbe5/nrQv5Gnr9ByCvA86/D7eCtbhkTsnSdkDPXt7rxyQb//lY3vp27YI12LF+9rX5L/X8yPn/AxWxzBQeAVjHG8FYffAwoDy4kRFBEjMpq7SO1N5qDYjDEKIzCQnrq31/5RTOT4GIgbAByoNBCKlYHIpYxebwPpVGDsp5IVgZ2BdarqdeONsiNNWnleCgejoZB1UnREA44Kw5vbF8leRUEk4KNKnakFOuv//A9ovkGWaEdP2mYonlsXH1a2YGehuIIaHtb68Wh8XitsenI/oNtz5kOGPd6n0SPoL2Jw+Uj5Y4pI+DIfsnzikfD0XUYTZwhJhYXNnD0qnhZOE8uWhYHFrtOtxDL0+uVFsY7chFp4xxpY+9tQ0Zo2YaWdKONqz+8ctMfBp6j8tHr4On8Q8EDrnT9ZO4/zBuyKP/Bokg7JtmCj0mm9ag10O/2uDxG+rh2TOK+4Zgks3FMssBXg5kbj0lmVlZqf6EP4RNNFhoyy3K4qZGCn/MITtENC4l3zAMiQEUE0ISArEIMNDRj7e/80D9RahtKKGk1U+uq/bRZlqEr4C4MrUERo7g1oyRuDpjywCdGeEARBI4Y3PuZIFHvrv+6Zqpfa1h7t1bX17rWtoQBLYjZhmgeSAq0MesXKN4jOCAUUgsFb2oGZW3XWQY5E6n3137VHEiyaZRCiTCOxFj7l2bIHmQQUwp4FFAE4E2Rlsb1SKBBQSWBA8SRCAw4k3rnGtGwdfXnqzEMaHTDeeq6gXBq3sN7Q5fCvRleEVYl6h+sLXnHPePu6jZP1Vm25e2FgbQpYYp3KSdA7GxeG/1j9gNK+KQhl4on1fWThlLjpFARhoUCn+ey6KL/jHvWMT84PlDuG+nNdyYNqfZwGzqKjjJtvk7ypKvH1k9YTf0W42CvrdPd4SvgIxlPzp1xpgYz9pQ1aU6ZE32pnhpRH2tWzYpLBu2zYcTq06sf16ML/tPWGfvUyZEDGXfIKdulQdksdsMNfWLtodqOxgVhVhmLj8fK6Xy+kE8Nq9X4SGgUTWq4umXlry/ow35sZGAtgzQHTgwgtW7jsBPD+zd+TV/CWobxqSsbBjzU/hUw8a8AQsgWSCRtCTitmSNcOA7Nw3khXUwIkoW1ELQLJVabWL6/uZ5bvpONclEU2YYUKRwJK7IqJ6WkxmRDGgFqzpTHzhTAo3WT2vH6O8219to7koShuw3zNkgcTRYlEL62AIWX3FDRwIEswAOkIE3VM2t/3lwbX3uoAXv3j2ChyCAO8Yjlte8CJ7AwAEr1qyAaOexm2d+ovuuicRAfQYNR82uqj5bZsKb7okT96spPcOPjlW0CtGMwgpKA7SA+RAVlgcPU1NuG+Mu/f4Mg/tZ7pQy1CuIvcq2nOeSTErXwSg/IN2BKfJfaQQXutPguhzTnrqKYgMUf1AbeasPij9tgiSdrn9Cz2n4sy7Haow4BgYJe4EMu0SWAvgLtHMCfB9pfE6iRUISodS5vqXctb2HDeKW2AU+DwQ7JUWywpZS2XRDf0IyK9rEyj3dGQ0ytr/6r5rgrhHPkYT0+T72n/i/NazcN6TmaxfsyuI7Aq9CCfyMGp+AR/RLgDfMTTIEUbJrDUaLWXft13VS7xihYUG5DYcxQCo5BwjFkxRQsLtw4Vr2Q5vC6Y4Nbhxj+V3PMFcaPB3gYr99T76r/tHn9+QOHHn098O33nz9oae3Ezx/sJZ9A/WhAsijWkDVqTdhjoFWH7FlLfqBErO1tWhdf3EajXBdfN3QD0X99V2NdfG3f/M5vZKSsyUhZ3RDrSU2sr4cdwWwGrh0XEpaRRFNlZKRUzpcLI1nQh6mRWCVaiVTkMfwAgu+s+Wy/9gDC0cJzyadTe5Qn0GPXH0BYvOEBhJG+33oAwe63ee1eq/P6Awg17QGEedO8ceH9BxDGhoZHclNDE9oDCKfkU+sPIKzuW/306mY9snBOmqL9AYYEHvlkY9GcNal9am+oBxnR/sBhZ7u7baCrx9Tb12Fr9Rz3HKb3gxjvDHXFumLmuCNDkB5K22ZjMXWa4/a8Z9hVDUyjmtvffJY7Rc/6Z8kJF7Ro27A5Zcz0RsCXQmM84Wh3dvR3new7aTxixQ8pPRz4BiLuR0+EDyQPxI9nu4a785YR95hnNDCBptFwaDiUV/LRfDyXyCWzmVwmM5Qt5IjujKXgGvGUAxU0jk5FZ9OTmfHCaLFiL7oq5AQ5Ss+hM+iieia7kD1VmhqrEhOVmcJiZjG5FL0k4r3cIl9kilyeIWrlxrgQC4b9CimB98MrUK779OgV17meqe7Jo9k9Yo/QH7T6LaTD43a4HaSVttIDrBmZ0Z7M0fHuic6zrpdEYkIYCRXjw+pQKj2UzsbzkVK0KJfRCEz4i2vP6tGce6x7uKdwPP6sXHeqzbZBh9Pr8bj8noA34Al6eC/v4XCVHRvuAklleZX8EbqIFkKT8Sl1JJnPEIVMakgtqPlwERXxOm7a9P8AYEF/jw0KZW5kc3RyZWFtCmVuZG9iagozMjYgMCBvYmoKPDwKL0xlbmd0aCAzMTQ2Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlIC9UeXBlMUMKPj4Kc3RyZWFtDQp4nL1XWXBb13kmZIq4sWXJSQee6YyaTB4yk3SajBZGlmNHk7jjxJvUSCa10txJkCAEgCAWYr8Xd8U5B/diu1gIAsROiDspkCJNk9ZiR06kqlbcjJ1MM2nHk04nD31oFm6qJ+dSTJr2qdOH3h9DHICY/57/O9/3/f9V1dXvq1OpVERTU+M3jUeOKOuj9p2XNx9svbAfHngCHqj/4pN19cJXvwThnxYH1PDwoae/sNH8+Y0Thza+8kzdIZWqnnjq0F9o/vKvvvyVr339SONJ7fON2sbjz2mPNWqPffOktvHoEe1x7bHnjmqPnziK349pj5/E6+catcefP6E9ehJ/jX978kRdXd2h/Q2qfU/Uq4knDzx98KlDn6tT8SpBFVABFVQhVVAlqiRVSBVWRVRRVUwl1z2D91+3TyXscz3xpfrm/f379Q1FdYyY/hz1pOUpz4Hpp7948KsHt09tbW58pgFnyGZLi6VF39k90NXfYj7vanado0/DNtgpaSM9EV3MGL8qD8WHE7a4V6ajBB3hZCHJJUAa5UEKJZAcjAWjwYgYEiVJlIIhFEZRkGQzZJos+Coeouyd9M6Tc94b3BqaBTOhifhErJIqZHOZTD5RiZfDE2gGzNITzrKrbMmbxgjTmD7Tl+4b1aZ7R3vTfdm+XN+YvmQaN41bplzzzjl6Gd6Et2Jvjy1lF8dnZ6rEzPhifnVkdeRm5A6qgnGhylfZClumy/6Cf4zKkkk6woYZiRd5xAc5xBFBFjJBBtKQRD7ggyTwAypAA1ZgAjyPXzzgEQ3IkCvmig3L1gRhiZvielkv90k9SAsG+EHKRFm9TrfD5bXTNsrKW9AQ6I3qM4Ppwbxl3E5U7JPDs64Z16xzzjnrwGGfsU0MVU0VY35gtHe0J9aGLhCw4eD2ve0jJQ1kA7wSnMDhLTABPyBxeKAL+pAfUcgf5IKsyItACkhAQmFi4yn1+XMXOy4PXjJf9F6EZ+AluXOsI6urmGfM047r5IpvmbuD/p7YrKlBCOGTCeLjiUhhMYriOJJoFI7AFJBBHERBRAjzISEoiBgcyBGPsmrYLHZE9RFdwpS2pS1jzqKv6B1nJ1EN1EZq165Xbyy9/R6xpVbDEPwfuWWUwrnTMIkzy7u5Qzi3JAQf5/7sWfXBw/X/frg+tPV1Ddipd3/NeNLwXMf3mvD1/Y4XTd8y/Y13Zx8kdioNLuiRPHGPzGRQhThcT6pBKZJJxVNyKpRGxMZKw8YT4Nfunxk/MdzvuNn8bvP1VyunyqdSjeivMa47rzEa+KH/vvMDx13Teu9y71LLzJulc8WXksdw8r/9jNp4ueEX4KF8J/fe2NuTC0tzi9Vb2fvZe/LH8NPdY9FtfVTUQL/AsjzH4wMJUAEvcEAH9CAqSAaZIC+xUiCMYsSv1F3tbboWy2XrRV8zvALbwz2J7sRAxlQwFWxV94xriplHy2BNXsrNj81dm1goEfPF1eyd5J3EvfBDSGw887ABTvMTTIUu+/KujHPUljTHBmMDoR7UAbTcgF9HGckhn9lnp1x+J+XjGESwgEOYziIvBUJ8OBCGsUAUxmBcQV7EggzF5FgsOiLnE/lEKV6ViWpsIjoTng5PSzPwHrxNL3tW3HO2ceO4Yawv2Zloj1yGTcSj/1DvnNz8hmbnyw1vwS5eR+toI2n1WF0uB2UnrZwFmUDLSM81U9W46L0Fl+CCPF+Yyy1M11aIjXPqg1vf21L9qwbYgStACiRPcyzL0RzJU5yP9wiegFtwB3AAN2yBnWFdAvMraysR1qJ7klqg5rlldJPYzO98QU0COszKbFwYRSWw6zBIcZgwDim05zHExuc3+huwGiQxFMTOo/w7GsTsDqZgGqVBEsYDmN0BzEAcCreDPOSJnf4NlzoEJEVKArYEVmSDDKKDfkhhLzALTpZkKZr1I2LH9SjQAN+ItmT1mYEp1yoaUexOigfjkizFxOjuHcN4JyIQoRgQA0HMcmwtiMXpaJyOVJi02a1oXLfp1IBv+192nna+YT6va9O1dfZfsVyxNvnOQAMcFM0hc3goaklZEkNYb5aMuWgeJ3b2qQELsC0ImINc4LExUDg80IOdC9sCvhGLg8fVCI+N4fD+E2q8UED6c0wUxWNMUo9V+V+YKKrkiUcz6nK5VChni9nSSClRiBejpXAhVBYr8D6841kxr5jm+6tt1fbcxdTZ5A8ip9FrisZeGtaAZX6ZucEs+ead045JS8WYM4xp5U5ogTbextlZG2XzYAI5LFaLdcg4OEDsbKuX31xqXzTWri55lrGhzMjXctVssZyZzkwm52KL0euhRbS4i5xj41duDXiVa/Z3kp2uPpvRZjTadJ5+TzfTAq3QgdyiK0iJtOiXOFy/gPUIQgT+E4ZKRLAgElBGmDtIASIUFPEVxOBACUYwEolAEo5CIgcz4mhkJJKU4yOxkUg2VJSK4ixaI7Zf3INS3IMyFlQM7rF5Kgb3mF5hDGVQ6S1YksRnp9TZw/U/14BuxuTxut0mpht1A1PEk/KkmBJaAPOR8kgqlapEruMPZSblTXkig6hXKXjrN1u1jRMa6AN+6Ac0Dk5gAxxuDFhINL7c5LDP7rOQZspMmRgDe5W9Kugh8So8J1/KX8p1TvTX+mvmNcddxw/9H6KfgU/jH+fv5e9V1+drc7Xl6vrY+tht+S4ixnGPrHAVrkQX6Lw/R42SGV/CH6OjdIjBpsIFOZFFDGIwi2lEQcxjE+/gKIZkOBrhzhT2xr1xZ2I4aU+aE8aEUe4P98AX4JmrHWfaz9iPwx2CgGdDF+Lt8fZ0b96QM5StE54J9yxzHc2BqXA1UU2UkrmRXGo0OZJIxRPhKCIkRZJCMCApnQ7fG9MbKwh695qkeXNYA79LvTJ8xn7acL6ntbvtSt8581nzK77vwO/C1+JNuab8W5O9S7010/pe/Z8Q4KPYg7EfZT8Yv7mwPL+8Ov1+6b3ig+Qn8B/hfd9t223rysBcx2zH+MXsD0bPyK/A7+ySmtTAVW7Ff8O/5J6zT9mmjGVtti/TJl9Al0GHv8/Z5zSYrXrLgLOXbCfb2BZ0kQCXpRa5Pdae6skP5HTj5tnhmeEb/pvwbbgYnc3MjFaLhcn8tdG5+A15KbwK392rqfGPjV/YbfxsgA4obd8LXNCp9BlE7jZ+5UgUrwoo+t4sqME6X2Mm6AnfuLvgytszQ4mhuCGsR52gw91p6DC0t7e+Sfwnof7z3AzOTSkjxW5uL85M7nrHH3Pvesf2s3vDAsKUD+829BjmewKlYQomsHHIIAIw23lREDHjkTJJ7TypXruzVluvrJXWU+/CH8J1qmar2adM5f5Sf6Yr3hp/K9wE3yAeLeP20LL14tbvNMCFRy7FxuiAUjQvCAIeuHAygH1YokU6SEm4x0pk0Cd6kQcRTuASnIyLdfrwwOUetjvM9kGb3qIlHn36/1Tks+riTKGaL+TyuUw2mU2OxbIhHOIYjEJ51wiwmwhJQRbiQoyPYC8iJB63gwDid4NDDMSaxvtx7579T7dzG68/FjreNMRAYG/HQhdYjmMZhvFQNq/VY/LqvQPeXrKL7vS38i2QOAFPJV8Z/37lbK3l9pXbvQ/M/zT4c++/od+C36d+Pf7Lyi8XfrL2/tr7d5cfTjy89snIPyNiFswJs8wMM+W/Rl6jyt6ip+BJkzF/zB/GoGBoOAUeLDZakRukCOjG+CnDDh3Aw7CwNwxziALesCvpTFpT5rRpZCDVk+pJtoYvIOIsuEDipwdLl07X2t862Ox4ffg1/0voefB87KXM6dHXS+enOyfba/pV66r1NvkBItbBjfBCaj4xlaqkKyP5VCY5mkhF4kgCeLoFCuQih9ggjRS0fHAXr03jxk/+u1b+V0f9f+qFh7d/rD64LW9/Y1PWABPj8JJe0sO6ECZbA7gUapW75K50X9FYMExY591z7hX6FloE89JUZDpSjRTlUjQbTeNukhBje6aG96PM1rgoPBgg5ZkDQ4yfPdgAAzmAY9ficWGCQPC8j3XSw7TFb6ANtI7tZXuZTqEDW9yrctPYm7mWid5a93XD2vCPhj+gPkK/IMDH8Q8Vi6venF+aW1qeupW/WbibeAAfwru+Nes7lkX9ZO9kd6E1fTF1IdqEzhJX1TsvvKNB/+L4h853ut75u9KL2De09FW33mWy2802s8tA9pP9bB/QEpvuhoN1dX8A07Oi8Q0KZW5kc3RyZWFtCmVuZG9iagozMjcgMCBvYmoKPDwKL0xlbmd0aCA1NDI5Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlIC9UeXBlMUMKPj4Kc3RyZWFtDQp4nM1ZeXAb13kXbIpYx7ZiJ4FjO0wzTabTdJKZypIs2cmMWydNLDuKTx3WRVGQSBA8QNz3sVjs/XaxOBY3QIAACPC+RFISqcOWbcmO46NOx3GONum0yWSStP/0AC97+i1E24rrdtL8kensLEUC2If3vuN3fFJtablpi0qlwvbv37V7YPt25ff7TOvfWtWvPrIV3XYzuq3lTz6xpYX98hcQ+uCX29SorW3lU42zdzb8n2x03LGlTaVqwW795Kc193z+C1/686/85Y7dX3vo4b/Zu+/J/YeOtGu7dA/u0u3auUe3Y5dux/0P6Hbdt123U7djz326nbvv08Fre3bodj4Af+3Zpdv54G7dfQ/AG/DpB3bDn/frdu/Q3bdHt2s7PLRnp27nrgfhnR1w6x7crtsBH9+1Cz6/a/eWLVva7sHu+OQtWz9zr+qmW29v/cSnb1Z/rq3ltm13fkpz12fv3qJiVKyKU/EqpBJUoiqsklQRVVQVU8VVsiqhSqpSqrQqo8qqcqq8qqAaVBVVJdWQqrzl8xChLTep2Js8N3+h5cBW/da+1rI6jh25xfKJR2792m3fvN1y+z9v+9c7/vSO2p1XPr33M9/TmO4SPnv07uo9L95b+Vxq29o3Vtca72nQ4/h+63Hr0X7tqd5T+uPWA54DnqdD30Ed6FS4K6aL9cQMyf6EJeVIOhM+OSRjoRidYDJsksujIZQRUkJCkMWYGAtHw1JEksSIIAkyn6HyeB4v+es+rOYf88/is/gidUGY4ycjo4lxeThbLgwV8uVULTUcHUNTaCo05q55qtaysYgZC32F7rw+p8vpCl05XVEPV19lYMRYs0+4Zz0zxDn0PLqcWB5cLC3UpiZHsKn6QmkpdyF7OX5FGOHrzCgzQtXIamiYKBODRAlPhWJUjAzTIhNmBFpgMJEUSEQKBAoiHPlQkCd4nA9xNEtyNMMxLMPTAskHJY/slZ1JWxKzJk3JvkS/rI+cFru5fsZIGIN2v9vj9gScQQdppa3IinRyb86cM5VsNQdWd4w5Jz1T7mn3tGfaNe2cdE45xiw1Y81Q7snr8qfjHegwhlq3rT2/tn1Eg2ie5liOpjmSIxmSC8CWfMiLPLA5XAiikEhKlMiIbIQL8xEUwRq3qA8/efjkEfMR0+HAs+hJdEQ+Nagd7KmbJ80T7jn8fPAcdQW9hq1Mq1FECItSOBwJx6S4KItJMQVpGxQLXIZPoSQnczEuxkTYMAvBYRGNbSTV6GDkZKw/2psyZWxZW8FdDpQDw9QIpG82MzcyO7KwsPgCtvLex66dFQqwdpZPfrC2xErvr/3eLeptbS3/0dbCrn5Fg9ZbfH9heMCwR/vtZ/YfOPCI9mvGrw98NbB+M8LW661e5A37Uz6ZLKAa1tbiV6NqLJ9JpRPZaFbAGudbG1v5X3vfMbxjeO3k5YOX9595tPZQ7aHMTvRViOv6o6QGvRF61fWy++rAc7qzusVjk89Un6l8M7VTwNYffs/T+GbrT/k3Ey+UXiyeH5tZnFuoP1d4tfiq/EP0T8206FbfhrQQLEUxFBNig3yQ8yA7ckFKcBEXQmFKYiQmimTsl+rOjg79UfMx82H8AGpHJyOd6c5kX2GgYio7Rr1TvsnQLDqPLibOFudKM/XxmWFsrnq+cCXzfPKV2Btwkttfb0Xj7EioTlYDJU/Bk3NkTLIp3it1iVpOx/QSvUEjbsYtuAP3EJ5ggCEEjOahkMOsCLGNchIb42U+zieQEv20mAjLkYQsy/FcopwckqvyqIyNxCdik7FJaUqaEl7jXwyd8533zDrqA6MDxe6UNnMyehQdwDZ+o15/bOUrmvW7W0/yOrqX7CVMuMPr8HjchIOwURZkRMeynUoVz/ovCvP8XGKyPFWanpxdwhoH1NtWv7W67VcaZOO9bIAL0ARFM1SIwekAE6B9nJ/1sR4OLijso+hURJ/WJ40FexWzVTxjwTlimjqHnsNWMusadZAPRckknWIKaBilhBSUloIxUcCYSCQsiVFBErGGpmFsRQA4cMEbUSkmJsRUOClkhbxQ4HN8kk+yCS4KFRhlRRban0YMtm5smNUSF+HhVl6jwhSgASESKACXiXORARoPURDjdfOGrxU9Lh/LGwq9Y97zQpZPC0kppcRXgu1AzUfFKOBdmG9enAj5wERaoISQ2IQWpZJWepUe1604NejroW+7H3fvMx/q6eht1/Yesx61HsAfh5iaRHPUIlni1owtZclZi7aCuWKqY19UI4qnmSYuUBzJhrggIgAXPMgPVxBwgRDJMAlH28SFGNa2dY8aSUIEmlJSmhJCIkBTihkIySCf5VMcNCW/2fBNNISQbCyrh4er5epgtVDNltPlZCVeiVakqlQVvs9f8Z0znzPO6usdIydKz6afyjwZfQLtU1rsMYcGnWMXyUVyAZ9xT3jGbTVDyTjYndAKDt7J2ikHaSccAYfP7rI5rFaLydyHra+oF/cvaM8Y5wfO+BahgiblemmkMDScnxgcT03H5+W58DxaaAbO1/itR4MeZQ4GtEGtp9tmtBoG7N2+bl8HdRjZkFPwiF4Rl4hwSIJmjEAbRLgIhqJ8lI+hKIKeENJCAsmCLEDpQDgiYVG5JCQhmUvxSS6DMggro0ExF8vF0olkNpGOF6VKZEicRkvY2v1qpKCbJErXq0uGQlSqaxPf+PdDCdWlhJJBLPbebnWhreUnGqQlTR6/xztAnhBO8YaYL+NNh4bRGTQbH85mcpl6fEFY5Otk1p/zRk2oSzlwW0u2rcX2mibikXCoHsAemqYZggkgP+9GDkAfN1Qovpl0+EZIOnx3DFu/ufH61o2p1i+uv6oQGMvcwzAMTXIUQ3A4wnkPcsLjHhQQcIGQaIgVE0MykqWklFt5pK1l6G4RSlmKRCJKTSegZFLhDMoJRWGIL/BpBGTPy5zMRBmJjtAR6Bds5dtt6ye2blxZq2n41nXLxntbVw61rjtW3tu6bXVtdbbxoEapUJ5EIZ7kGI5iGY6GMqaIUIjwB+wBp8+KmwlLYIAyUP2kgetF2D70VOJw8XDp1Lh+Xj9nvui65r5KvIl+hP4x+cPSq0OvjDw3e2bmzNnRS8VLg1eSVwVshK8xNbpOlkNlohwsBvJ4wZcOxokYESVFWoLWVppbCAHRhxC0N6Z0N0VQwRBNCED4UX8ykPKkHBlH2po2JgdSPZFO4SH+iX7tk9rH7fcDO2HoqejhxMlkR66raCwZhu0j/jHvFDkrzPIT0Xqynqyki+lSppDOJNPJZDQmYAArACxhBtIDYVKARfgACdZ+sOZasWnQN4i99u86HzccPH2is/2o/knLU+ZH8YfQX6PHEvuHnikeH9ctdM0PXHJdc10l3kA/xNAPEq8XXh58efS52XNzi8tTL1ZfqryRfkd4m3818IL9inWpd1o7c7J+ePDJwhPyXvRwk/5w6E36HLFIzHtnHOP2cWO1e1Bf6JAPCUf5k0SPR+8yWGwGa69Hh2uDHdRxdARDR6XjsjbRkdGV+oq9oCRcU65F4pKwzC/EJ/NTuXqlPFoezU4nF5PzkSV0+X35MqZBJE+zLLspX64XnRe40gVID0WHgiBfoGJFBXE5Rb6sZNXoAnsmNE6O4jVv2TfkzFtTtpQx0i908qd8pw2dhlMnO/ZjGyAx6I+uHYC1ndALvhvWpj+URmu3fCBLwk0ElIEWEiB5cmKeSyskycW5CAfFzCoE2pQl67eoL75wceFi7cLwxcxF4Sp/EZ93nnGMD1R7q92F08n2VLt0AH0X25gFkju0unP11xplAxyBmrIRsBlQmmOarMyDtoQdEWFCIkQ8jEu46Bf8AuYBVvRQXtKLu31uj8vptLrMDoNVj238+I90yM+oK5PlkWKlVC7lC2m45EK0IBWlAuh1GZ5JgqiHi0mx0O10DJ7EJAXYOIEVAN4EqGikVHMAeTfrudB4RAOIpDQ6wUMQYPs0yGegfZIiSX/Q5rP7Bvx9/l6/LqANaYl29jDC9qC/Sj9Sf6T29MLR549d6Xzd9FPzj/2/Qv+J/j3zm/rP6j8789aFqxdfunbub8feGv1R7ucCNsvP0NPkNDkRHAmO4TVf2V/xZAMyIRMg6hkIi8LiEHUhBM0GG8QU1cyFeAIYkwIUZEDSMwxPQdMHYu6MJ2XLmnKmXF+2M92Vbo8eFLFnuEOBY9bjllN6/YmedtMzrsdcjxLfQA+iPfLD+X2F71QPjp+cODHXs2xfsj4fvCZgl/iz0Zn0XHosW8/XsqVsPpNPZWKyIPEREAIShFykw7SyIcheAPmuK4HGjz+uV/7XVP+BlN629op62xpa274iaZCRdvmCPtxHuQVs4+et6Nnocfl0QpvXDxkqhjHbjG/Wc458DvhoLjwen4yNxKuJqjwYz8VzsSTIekxRS9C3nKjAmiJvyGacgYkA3mnlQLwC7wzXtE4Mh7F0gHYRLsJKGEL9RC91muwitWwHQNx35KeLT5eOjZye7zxjuOR82Xkt+AP09xh6O/Fm8eXSK/VLihQ/N/F85crQtdRrwlv8tcBF20XrQt9Y18TpSnv22ezB2AH0FNavXn/0BY34M+drnRdOLz9VeUjs5LrJfq/BY3bazQ6ztx/vxfWUntdjK73XYWr9502bBRsESUUCUULs+d/BKVCBYLTCtCKnpGabrXSojQNmi9llcVq81oAFt4TMjIU2cya0Dz2Taq+2V3WT/YsDZ+2X/Ff9L1GvgOVCb8tv5r6Xfbl6eeLsxNkzk0vl5fKV9PeEGl9lhpgyWSaGAkoFD7kq9mFbzYT9G7QyiAxQJ5GmpIxDeqGBhayYBZUCbcnFNtOrJKDZym3rX4QArPVrOi5r57X10/WTGUVn6IMDToPdZnb1uXv9XaHTIS2jRVp0PNweOxnrSHblerF8T9lUc9bsU8S8UOJL4mCsGCkmgMXSpXy5PFSs1KoTWGNVrdD423+nUTqJhU7iQiwFQWMgfCyNKIRtvPlRgzYMxxDDm2op3NTi4Aeva3FQS9ymG2Q31VLTDf7LylF1lIdocxF4DSJPipQQDCu1dZ0yf7GGVm7VoA66E9cHu719LqPLYLUa7Sa7wdnj7/F2B5Xa6uCOgGX8xf9sGTPRDBitc63v8K+ELviWvfOOceOEoaLPdea18XZ0GPWxhpCRNOImn9VvcTlsLpvT4hsIYDOhycCYe9xVs5aNFcNgT1qX6YqdQh0Kx1ZX3tKgUXaYqIYq/qIr785ZMwPygNwpHQPz8PWNLzX2tS7yk5FqajgBCDEImFuOV+PV8DDsDrX+cuMfNGiWmgyMBEZcFRD9g/3Z7qQ+eSJyEB4/vnGkwbbOwuMjcl2upkuD5UK+nK6latFxNKPEZnV29VCjpEHHQlp3t1tn6eu19Jk7XR14h/8YfQj1on7REB2QTFGrbI07ZA9ceDwUx8gYlWBTXILLoSJKKtMbIS6AkQkr2YMSDAsRIc4n6QyRCRaCpQBWxKvBOjGCTzAzShGL5dhQtCTnUvlUKiMX5MFICdVQhSr5Cv6cO2dLY/a0JWlMmhLGZD+oKmNqIGvMWAu2oq3kLvtH/TVqEs2jyehkZjwzPlirVbFaZXJwPjefOR+/IpT5ClthKnSJLlBFMhvKkJlQgorRUTKiwA/gqsBggEHKFUKKsFOEplKiFKCPcgMMsTx8ig+F8Xgg5pddMuaMO+IW2RYbkPpFI2dRzAnlBiXqCwR9pJf0sG4AAWPMlnZnXHlvMYAN+cqBerAWqAXr+EgA/vXVvFV30TnkyFszxrQh2rMp2ltPtG19/UNYZ26AdR+s6dyUQMQNsH5dAk2p0TQ3QYIECiqUBhLIDhLIFDEIOr7LpzPoQAKd+BgJFNxcW1nZi/wfpw6aa7PNtRW69A25YG17ytxcW+frgrW1f3R5dWFhqbY8vJRZFmb4CXo0NEJUA2XPkKfoyNqhcywJ88j4SK1WqZWHwYZi1Uw1UY6VIxWpIrzEL+NzoMfGBiqgx/KnE4oeO4qOYhsvqZu0en2C9n8+R1iQPsKqArCqOAjuLsV/hFWb7u4Wxd1NgbsLmbzg7gzkyaa7897g7nKb7m4e3F3uBnf3oVJuDvqAfxQOUrRToJnIABh6HIUUJbO5TTaColijVX380JFTzxoPG/b7n0CPof2pY9Xj1a5JA7CO45Lvqq/JOh+SzvhZbPzs/CbrvCxc5pcDi7ZFy2LPQkezLsJNJRGBM4c3J3biB/OSDzBaYqUblcT6o6s3/X5U034j1eh/T6pZc63d9lbTMHIEHwSaAaphFKJhGYVq3t3a6vmfZ4E5AVvd2hrlFfcPd9P1AYm/P9DxKYuywF8gUJpKkAYlSIIOim58aWVva4yPsE3yoZuOEfRaOPj+cyyh8B6jqHu2qWqbz+3dOLISVb4PilwZASqkBS4zKCqk5d8krYSSaXTDSPe6J3I3Pbz/BkCA6orAHWNkbP3WxpJ/3DfqHbnHV3NX7UVHyZIzApD2RE8DIbRsjLReBxnmOsjAsW7UL7gQgM2TTdO76bNAO7ZUlFANgj+Vr49NK60TfI0f4kpckcuji8Gz3hnXnGPMWjUMG4r6dFemK6JFJ9Bx+lRAj3d7+u1GzGY0WQ3Ofofe0xUoBYt43lfw5dwZR86RsaXNGXNqINPXwNZH75bNUQ8EPiiQUDdAkFNrGg1aDi7YZhyT3cOHc96wW3KITtEs9MKB7t3Y29jeOs/PREeTY8lqplgqDWbKci05LI2iiaZg3ljd2bb1Xo1yOpbkCZ7imgKO5cFrIcVq0QIJ0YecRYJhv+QL+0U3rI+ZOTvjCrkIvy/gxl0hC21kBjg9OoX9WeO4OsopFh0qvDn7g4j9zuyPwkkqoPDvu8lWBN8Hto6mOGWWEvwdWwvhhhRSkhJwRRo3m3U1uX6XGhxhlAIT9eHssvn/I1FlBAWNJ0pAtljjrt+2ou/HXkwupZcG56qj1dHxoZnsXOZs/LJQ5SvcEF2mCnSaTlFxRpnXwEZpTNkraFT8A3W0fe3OtS9rEMQCcQh4T/nJMzzbFOTM+rV3f3I3q4yRQPJS0AMEnMEH5aeUoVOZIgpQ5SIhKaKXidBKIcax9WurP7kuOO9RahyFkchL8FOZg4FCiEgROEwcZEOqKVGLHOAGYL4MKg67rlHDDISWacTe7b8bvG+yEVntFxV5K92jQK0ySFMUbgqlhUFQuBleRgk+zkehC8E3sQr4Ncvn/99s4Q8dry6pl5bPTy9XlyqQ7eZw4cx/Hy7swzZm1Nu2bPkvH2XXLQ0KZW5kc3RyZWFtCmVuZG9iagozMjggMCBvYmoKPDwKL0xlbmd0aCAzOTM4Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlIC9UeXBlMUMKPj4Kc3RyZWFtDQp4nM1Ya3Ab13UmZIrY2Ipsy4HGnlGbyY+mTSdu9aAluXZcxxm/ZFu2ZMl6UXyTIEEIBEECIPFcYLG72HsvFlgAizdAAARA8AWSEl8SRerlWvIzfjRjO9M0bT3pdPIjP1q34Cua3gVpj5NJ/7TTTnFGM0uKPHvvOd/3ne9QVlW9rUomkxEnTjxW2713r/S8z7j+7Mr7q09shzvugTuq//jeqmr3n30Xwq8fdsjhnu/8cFfZ9WD5zP3lZx6oUshk1cR99z+keOSPvvcnP3h0X+3hJ5/+yfMvvap8vFZZe+CQcn+tcv9jh5W1+/YqDyj3H9qnPHAQ/6s9iJ/3Kw8cxs+HapUHHj+o3HcY/9ch5b69e5X7Dx9UHj6krH3sMfyIf6r28aqqKsX2Gtm2e6rlxIP37vj2zvvuf+Bb31E8tKtKxsrcMk4GZFCGZB4ZL/PKfDJB5pcFZEGZKAvJwrKILCqLyeJVu/F1q7bJ3NvM93y3+uT2zu3qmiF5kHB/K3Ov/r6OHT3fzuzctXP5/jsPRB88sqvtoR07155aLZfvKuBR+0l9XV+durm1q6WzTveG+aT5OPUKbIDNvDLQ5lcFu0MXxN6QMWwM2UQqQFB+RnRHmDCIowyIojASUZAPePy8j/d6ea/HhwQUABE6ScbJrL1gJfK2Mds0OWWbZ5bQJCj5RkOjwXw0m8okE5lIIZQXRlEJTDpHzXlTXp/RDhLaQXWyI9ERV8bbE+3xjlRHumNQndMOa4f7xs3TpinnAroBrotXBudSs8OTpSJRGp7NLMYWY9f8b6JhUHQX2SJdoPNU3plxph0pMkL5acHlZXkWsR4W0YSHhi6PC1KQRHZghyRwAgdHAdpNcwzLsSwLWEQBu88SNAf7RX2Y6AtrRTWODl8bVMIupsehdfTZzeYBs81IGRx6tg/1gvaAOtkT78n0DfcTBcPYwKSpZC6Zpk2TA5MDJWPJMNY7rC10Z7sS7Ym2YAM8RcCanWvvrO3NKQAN8GvdLOtm3C7OxTmAA5DACs3Qjhw4KA/joXmW57ycF3qhQJTvk586frrpTM9Z3WnbaXgUnhGbB5tSqoKupJsYuEReti8wt9D7xMqMHPgQ7oyH93kF3s8HUAhHBCVgDEaBCEIgAPxuwe1jPW5cHgYxxEZKDk56mwJqvyrcE9fH+tKmIfuQbZgeQzNgJjYzcqk4P3flTWJVLoc++Hu5RRTFueMwgjOLldw+nJv/Kvfd3fKde6p/s6fau/qoAq5XW37QfVhzqOm5E/jzfNMT2ie0P7Stb4PEeqHGDK1ea8gqupKoQOypJuUg709EQ1Ex6osjony5pnwP+LX1c81nmvearp+8dvLii4WnCk9Fa+Gf47quv+hSgA+p90x3Bm5rl9sX2ubPTxzPvT70TGQ/Tv6Tu47yszW/AB+Jt9JvDl4Zm56bni3eSL2Xejf4Kfqi0pbO1U+GFMDJ0TTLsBRHcQ7OBgbgALQih4f0uDysl/ZyAgoSv5K3NDaozvWd05+2n4TnYKPQFm4NdyW1WW3WULSUzOOuabQAlsS59PTg1MjoxRwxPbSYuhW5FX5H+BgS5Qc+qoET7KirQOXtGXPSlDBEdKI2oPa1oSagZFTOLkc32UvqbEaH2Wly2BkXImjAIAxnnvVyPlbgBBjkAiCIQpiUEV70BH1BMRgIxMVMJBPKhYoiUQyOBkrCuFDyluC78AZ12bpgmTYMdxc06Y5wc6RROItOEBv/Kl8/vPIXivXv1ZyHLayK6qS0Dr1Fj3HuMJJ6pg9pQV2sbURb7J613YCz8JI4nZ1MX5yYvUyUj8t3rj63KvtnBTACM0e6SZZiaJqhGJJ1MDbW5rZyFreFwwEssA42C6qwKqxNGXKEfsgy5rjomGYW0HViJbO+S04CSqBDtOhOoBzACuMJIklhKhrj29IYovxgWVUDvEgSHaw8fl7AMoTR7YnABIqDCAxxGN1cBYEYfx4ckCXWVWWz3At8AFPJjSWB4bESIAo5Mc3sQOc20Q6apGgnItbNG1wNfDlQl1Inu8bNiygmyZ035Al5g16RD1TeKOCT8ICHPMdzHreHJRDtoXE6CqcjJSSttEoc71wxKeCPnM+aXjG9rHtD1aBqaO6UIHPCfhRqYA+v8+mE3kBftC/cG+8b7E32DumGifVt8q+EgWEZThIGrFM4rNCKlcuBz0x58OswFgG+Cy6FQOzZflCOH3x/uCZRXBPx65p42AorWWKjJM/nc9l8aiiViw2Fh0JDgZyQ9eX5AsbKLesV3eWeqY6RxuGGzOnIsehr/lfgEYljz/Qr4AK74Jp3zdmmzRMD43357rRmUCk2IT0wuA20gTY6DDYMoIE+fZ++t7uni1hfky+8Ptc42z2jmbMsoEtgUhxJF1P43RPJschUcDZwyTcLZyuVGyj/yqIALzInnc1ks7nD0G3o7jaorJ3WVlcd1MMBZPGYeQdP8U4vg+/vxnwEPoLzAT8UcPhhEIYhnk4ogKRC+Dw8/nhwcbCE+rE+hTlcFUikYZKP++NCJBSKBWP+lG/IO8RPoiVi7cmtUuLB5vV7BD7okQRuUzwlgduEl4Ap+HUp7z4lT+2p/rkCtLp6rFaLRUu3wlaoFaxRa9SVQxfBtD8fi0ajBf8l/EWext+2+ntQ+9YsqN2cBW7cdAbPAppzcpVJgCkzAG0SppATzwIXpj6+Lg7c8pWsHCyzM64xasQ+bMmaM8Zkb7g3pBHUWD+aLc2aJk1jY/3rxG8J+TdzuyRRq+Q2QxPOTeKQ4OSqzJn/IZyuXL0ytTi0mLsavgrfgsuOGeMlw4Q235nrTLaE6kPnfSfQS8TGPJaMf1udKR9U4CHshE6OghTHcHgIcyyHxYOinJSV7Lcb7H1kr0Pn0Lo09AX6glsNiRfhcfFM5ky6aVQ10znTs2S6PfCW80P0Ofgi9Gnm3cy7xeXpmamZheJyejl1U7yNiGFQcA8zBSZHZamMc9CRJBNkxBGgApQg3ZjxMDyNXEiyBU4ocRdo3QOMw0W6GAqRgBRsIWvIHO6PGCO6cHe4O9SJ9fkJcPRC09HGo8YDcJ0g4DHfqVBjqDHentGkNXn9qHXUMum6hKbAuFAMF8O5SDo2GE1GYuFoKCQEEeEFPMB147yMVHcsQ3jWY2LbtsCgW+lXgB87Xug/2v+K5o22+taGcx3Hdcd0L9ifhj+GR0In0icy58fa59pnupe37v8ZAT4JfjD4durO8PWLC9MLixN/k7s19NPIZ/Bv4Xv2m4ab+oWu6abJpuHTydeSR4MvoKcrRCYVcJG57Jx3zlmmjOOGcU0eu65UQ/AUOguanB2mDpNGp1f3dZnayUayga5Dpwlw1lsnNgYaY22ZrrRqWDfZX+qfd16HV+BsYDJZShSHMmPZkcSUOB+aExbhtf+nAF/bvWWQECa5IOEb64WIXW0cRmEYWxgR+HGPBLd0IM+miVm/V750a2lmubCUW45e+6/w/TKxsYDxXbf6xOq/K6AZI9xRMZnSpVk3/mCIIxrQHkpSMI/Ti32Fl/TYeDuyIsIETG6zy0yb7CbLgKXf2K/r7zGo+5TExhf/R5fcLR8qZYuZbDqbTqSiqXAqOOhL+VL8IAzAIAhX5C/sDrtDbtEtsn6sv4SX9eAhiNhKMBCPVYlJ0FLp/c/W0uWXNonu2iK6i2PwPWiGcblol8VhtOmtWpva1mVrJ1uoZmc9cw4SB+FfR18Yfr5wbKbu5rmb7R/o/q7n57Z/QV+C/4j+eviXhV9e/HjpraU3by98NPrhyOexf0DEJJhyl1wl17hzlCw6CrasNWuNk6Iz6BSwa+MlqtHoq5lPQgcBrcCOnR7uDe6MC3vwygLAIAewCaaoOayP9iS0UXWsLdIWqRdOIeIYOEXijamvRaWq76zvOTnwUv8R5zPocfB48JnkK4mXcm9MNI81zqgX9Yv6m+QdRCyDeeFidDo8Hi3EC7EMloBEJCqICHcHh2S8eQwFz+aB7KhSr5Xu8se/y5X/PcHes/aOfOeafa1rT/VNBbThdzgxL3E53DQr7SSSGiNio+rulzX4QMzmgSQ7QnEksGNjbMabigUbYzsmr6RkzOaBfHhTWftyo0ruApL9YjClMcgEyapyQYDXEOztwh48oT0VK8X7fB48a5EfEWsP12CHhjGJFQALMy8lrTg0aK+AKbj26IqogFrXgI20kVbGBImNf6oBZ3z1YovYEu8Y6s5qRvXTlinLZeoGmgXT3nH/uL/oz4m5QCoQ98f8Yb4iwDg4vJ1I+8mWccMCjO+Pd0MMBsgAHNI4ku7MugmWJekBaoDqc2ooDaWi2+k2V4u7CT4Nj4gnBl9P1422z7Re0iz1v91/x/EJ+gUBPhU/TGM5Ll6fnpuaWxi/kb2euR3+AH4Eb9uX9Ff7ZtTj7aOtQ/Wx07FTgRPwGHFBvv5XVxXoH/t/2nK1+eqruR+hZqCk1Ba1ucdo1Bl0Zg3ZSaroDtBOrFhwJWbXzq19XwGPkK8ZTulPqRtalS3tZ7uPG48Zn3M8iU3sn260bzUNu0gJ4JWmkdwmiqSmSYrrwm1jNhXXJ6GouiitWym8boXiQhJ77ZGaAiiAPJd3j7AlqkRNWicNk4bRnvyFnDrVEW2Otvgb4LnK5mVVgGuOuf5JY6k3r0lqEhdCap/ae8Gjwac5sBEr/2XNMpwTStGJMPZ9Q9lsqhgeD40Lk+hipbUHVm7vXt+x/vcM6XCamUfMtI5TSXsXJPFJKez0aK/bB/2c4An4xPID5fcexnjz0n7Gx/qBf/1nq795mI66Q1ilArzg8wnegDfswVKH0jAFYxXhEoHg9ktrKStBy0sRZfG3bdv5mjJa7eDDvqDgfcSH/X0EQzOBMjAJ49KvcUFWYH34VVBSLwdLrn96d9fDv7fBu79h1ElggxYMJ+fWBi8tjV8PNbzBnzt1tuV092nN69ZX4QvweLg+fy7XXtLMa+YM16xv2d5y3UHvg88CHybeib+duz4+T4zNz05gV5W9FX4XXoOL9nn9XN9851wDsZKSY0/rxRYXr0d4Ffdg0nukVTyOEqCyinOY9NzmIoS1hq2Q/gMMtdUdivM3G2eaR5qGG2P1qBEoHRqjxtjbM9DVr7K1YxVuYpswBM976/2N/sZwa0JFJDqz2qJx2DDlmEdpkObTwqCQFjOxdCSTzGazmVyhMEGU1+X/XQ2TxtVXElbx3RUJq/huPLA2/7AgSdjv+O7dku+++Ad8t2XLdwfy0WgsmvfPoGnsu2Pf8N1VVf8Jpb5ERQ0KZW5kc3RyZWFtCmVuZG9iagozMjkgMCBvYmoKPDwKL0xlbmd0aCA1MjkyCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlIC9UeXBlMUMKPj4Kc3RyZWFtDQp4nM1YeXAb53UXbIlYxYocJ4EjJUwziZuZtElnZEvyUXc8SdMmtuPYli1Z1k3xAiGSAIj7xmKBxR7fHlhgsbgPAiAA8SZFUhIlWY7sWHYcx56kdZykTZrp1NNJmv/aAS97+haUbOfqpO00U34DDobEfvi+937v9/u9p9my9ZYtGo0GO3hw/37Tnj3q+7tH1v921bD69W1ox61ox9Y/+dCWrfQXPoPQe292aFFnJ/nR1sU7Wvjtre6PbOnUaLZit93+Md3uT3/283/2F3fvf+Cvvvw3X//G408dOnKiq3dA/8A+/b699+nv2ae/Z//9+n1379Hv1d9z3936vffCa9+98P4e/d774f19+/R7H7gX/g4fvv9e/f336fft3w9v74EX/Hev/l744L4H9HffB5/br9+3Z4/+gT36ffvu19/zwL1btmzp1H3449u2fqjjzo994pZdt2K3abbfsfuTn9J27th5+0c+ukVDaWgNo2E1SMNpeI2gETUxjaSJaxIaWZPUKJqUJq3JaLKanCavKWiKmpKmrBnVVLZ8GmK05RYNfYv31s9sPbTNsG2oo6JNYNT28odst+l3mHf8/MO/3Hn59uGP0Hcc/uiPPnby49t0n73z4Cd+vPuuT97yqc/tXPvr1bXWuzr0OH7QdsJ2bLi7Z7DHcMJ2yHvI+1T4G6gL9Qp9cX38TNyoDCetKafiSvrlsIyF49EklaEVJo9GUYZLcUlO5uN8XJAEMSaKfIwTOZnNkHk8j5cDDT9WD4wH5vA5fIm8zM2zU7GzyQl5LFspjBbylVQ9NSaNo2k0HR731L01W8VcwsyFocJA3pDT5/QFfa6/aCgbSkNVU9Ncd0x65ryzxAX0PHo+uVxcKi/WZ6aa2HR9cXQ5dzl7NX6NbzIN+izVJOuRWniMqBBFooynwnEyHhFInhaiHMVFMZ7kIijCESiEgiiAcJZgQ2yYiTIROkoxFE0xUZ5k8JhX9smupD2F2ZSR5HByKGmI9XID7DBlJkZwe9Dj9XiDrpAjYo/akA3p5cGcJTdStjVcWN057pzyznimPTPeGfeMe8o17Ri31U11U+VMXp/vTXShIxjq2Ln2rbU9TR2KslGGZqJwAIakwkwQhdgA8sLyI5wLoTAfEUme4pkYLbAxFMNa27VHnjxy+qjl6MiR4LPoSXRU7il2F880LFOWSc88fjF0gbyGXsNWZrRI5EReFPiYGBcSgswrfApluQJXYDNsCimMzMTpOB2jBEagOApR2IaiRc/ETseHpcHUSMaetRfcFbwSHCObkL65zHxzrrG4uPQitvJue29B5N/bO8UrN/bOssp7e4uUeHPvd7drd3Zu/Y/OrfTqF3VofZv/z433m+47/bWnDx469PXuvzQ/aPpScP1WhK03OnzIJwRSfjlSQHWsc2tAi2rxfEZJK9lYlsNaFzta29hf+N8yvmV87fTVQ1cPnXuk/lD9ocxe9CWI6/ojER16Pfyq+2XPS+ar/Rf0Syemnqo9Xf1qai+HrX/lXW/rqx3/wL6RfKH8Yuni+OzS/GLj+cKrpe/Ib6F/bqdFv/ompIWgSZKChNAhNsR4kQO5ISU4j3NhgYRbURKSsbe1fV1dhmOW45Yj+CF0Ep2O9aX7lKGCqTpScZ71TfunwnPoIrqSPF+aL882JmbHsPnaxcK1zLeUV+Kvw00+/L0ONEE3w4DY4Ki34M05MyPySGJQ7Oe6WT01SAzi5pAFt+JO3Et4Q8EowWNRhuKjAs1TIh0DUMRZmU2wSaSgHJfmk4IcS8qynMjJlVRFrspnZayZmIxPSVOxaWGaf415MXwhcNE752yYzppKA6nuzGnpGDqEbfxSu/7oyhd167s6TrP66GBkEGDu9Dm9Xg/hJOykFZnR8Wxf3Vw3zgcucwvsfHKqMl2emZpbxlqHtDtX/3Z157/qkJ310UEGzklGKTJM4dEgFYz6mQDtp70MLORDx1BPzJA2KOaCo4bZq97x0DwxQ15AV7GV7LpOC8UoRZSoQkHuUYpT+CQv89L7HCMBx2AtXWukAwHh8IBvSVD/qQC6FS7L5wGBOUZhU4BACRAoqZGCwgcEro+0LFqRjbEiA5ineFKIABsQfAjhwAVmxh3Bo3iYJAAmlg1/B3pcPp43FgYnfBe4LJvmFDGlxlcEyhPiYhy+PMYJrMjyrMDw8C0YH+VILgzbEQhXkbQyqNa4fsWlQw+Gv+Z53POY5fCZrsGTPYPHbMdsh/DHIaYjvEWyitaELWNPWXO2kr1gqY40sM9pEclGqTYvkEBNYQZ2Zf0AwQCsEPACwUfg+LQAIFB5IY51brtPLUoICQQKQhIXkhC9FJfl8u2iTLFQlGy74GkBrt8OycYl7dhYrVIr1gq1LCAmVU1UY9VYTajx32WuBS5YLpjnDI1Tza7ys+kDmSelJ9Bjaok96tSh8/T5yFJkEZ/1THon7HVj2VwcSHZzTtZFO0hnxEE4g06/w2132OzWEcsQtr6iXTq42H3OvGA6518CBE3JzVKjWBnLTxbGU7OJBXleWECL7cD5W//m1aFHqGfwbrzbO2A324wmx4B/INAVOYLsyMV5eR+Pi4QQFqEYY0y7FDAksRIbRxKCmuDSXBLJnMzFeQnCERN4dYlIRDKjRiKDMgiroCKfi+fimWQym8wkimI1NsrPoGVsbb8WCWogeUFq40vmUiq6bvLbe6GUKEiBym809u692mLn1p/oUHd4xOv3+k2RLihiY9yf9mXCY+gcmk2MZbO5TCOxyC2xjUjWn/PFR5D+phSM61CEjdKQckg4E6EIBgd18gHvuKFqcA6EAaQgckMKGFUKVrJadJk+Fx6PjON1X8U/6srbUnbFLA1zfWyPr9fUN9xzuguKG+g6qu5Nt2Vmc+9ge28P7B3k8Bt7R/n/JZyWtcuXLs5cqi1Xl1PL/EvMldA51znHhLl2pmYo9KZOKifFg+ib2MYsMMba6lzrAZ0KZzaCwmyEoRhSlV/APEmEw0Qg6Ai6/DbcSliCJtJIGiPDzCDCHkMHkkdKR8o9E4YFw7zlivu65yXiDfQj9HPlh6Ovll9pXp1bmD13vvlc+bniteRLPNZk6nSdbJCVcCVUCZXAmxT86VCCSBAxuLEIcq8yARdGULxQukEMjTBukiBD4SjBESwuBZVAyptyZlxpa9qsmJRBqZd7iH1iqPvJ7icc+9H6VgwdkI4kTytduf6SuWwcczQD477pyBw3x05KDaWhVNOldDlTSKsalpIkDgMOYlVl5CmwJhEe/EjbkbRpY+0Ha+4Vuw59hXjE8U3X48Znek/1nTxmeNJ6wPII/hD6Mno0eXD06dKJCf1i/4LpOfd190vE6+iHGPpB8nuFl4svn706d3F+6dL0i7VvV19PvcW/ybyKv2C/Zl8enOmePd08Uniy8IT8MPpKWytxHboQvUAsEQu+WeeEmqmBoqHQJR/mjrHdhMFrcButdqNt0KvHu0Nd5Al0FEPHxBNyd7Iroy8PlQbBdrin3eeJK9wldjExlZ/ONaqVs5WzuZnkkrIQWwZe//8I8Bi2tv09fySIKr5lkJok2Nocl2fToKgpJgEHkcDDAL9vepj17dor164sXmlcGbucvtLG98Jv4/txbGMO8H14de/qL3RwAD8DqAJ8q0ejgNPpKAvlwgLchIhAtBcu4CLOB7gAh3lBQr2kP+LFPX6P1+1y2dwWp9FmwDZ+/Ee6pE5bna40S9VypZwvpGHJhVgxVhQKvAwlrz6TZBRaoVO0TMtUHJ7EYoBkjuFosNgUB4hGKpoDyL8pg60f38z9/zUBda69ot25htb2rIg6ZI66/aFA0Bf1cNjGP3WgZ6UTcm+yO28YNVaN4/ZZ/5z3QuR5ION5YTIxFW8kasmaXEzkErm4IiZ4DGwCSHsM4gJlGuUioO6Equ3wCrNR9UIsBZeCrkFdUQajo8Gom3ATNsIYHiYGyd5If6Sb7oKS/Yb8VOmp8vFm70LfOeNzrpdd10M/QP+IoTeTb5ReLr/ceG72/PzihclrlW9Vriuv8d9nruNXbFfsi0Pj/ZO91ZPZw7nD0iF0ABvWrj/ygo7/meu1vsu9ywdqD0EdDISH/UavxemwOC0+Iz6IG0gDa8BWBqHsZtYOrd2lQ4/iBxzPOp8ZOtWj7+s7anrK9bTja8SD4HM+v3GqYzMzFHQ/kBmGoHH216qSI1SbBBR5oyohM1vL4MgTRWCzVC6WBzs23tFg6+wYM0aPk1OR6fCMf8Y5ax8fqRlrg+WBdE+mO96FjrWdQ0CHrhBLzmnXlHXMVDDmjKkhcTg2zBvhNHdvxFpf6rjKLEpTmalUo1CpViqFujKZnojNoPk2j+xZuX7n+o71n0aDobA3uttLWhmDWmJtaw7njJHgBcAExDloSlp3tF7bRXJRkZSiEhVn4ut/v/r2rmiKVpCMQNZjMUmURRVUOa7Eldhcu3NJslIbVOCySRGUAWvJ75zcJna0uNXTYioGT+2W+ET7sTxXVu0mGII0I1MSFYsKEUQigglRofUfvovt+gDxtZs8Gpo8MHMAdzYI4QXog5nDUaRt5jbBDyGWsFaH9vjhoz3Pmo8anw48gR5FB1PHaydq/VPGJdN553P+l/zfJl9Br6E35Tdyr2RfqV2dOI9NLC1MLVcvVa6lXuavMpfwJRusM4un2p2gAN0aGFYoJD7By8Kmm8nfODwUEg3RARslfrCQ1h9ZvUXXdbV7oafRUz+dPcX1sIaQyWVy2CzuQc9QoD/cG+6mulE3OimcjJ+Odyn9uUEsb6iM1J115zSxwI2yJb4YL8eKSdC/dDlfqYyWqvXaJNZahTJ1r+34flv/GejB6QhN0hHov2moKIgh9s62Du/v7wNzHLa6rUNSrTwDDhDMPK92+SGeaJt5v7opYLnd2LebeopiI0AD0sZdKw93xNWnGMgW1LUQ5cOAcfzmczTBEkwYThEBtmLgOO3nHt44uiK9932i+hykDJoH9fsCKjQ7O051bvve+0RH/ZbIedtER3yA6DZFbkqLZpnJCIhcqO6vBEbdeXvKoYyAyOlZva/fpAeRO/U7RC7UJlE/crWRFPhd/N/em27vjcPeftjbAXtbP7B39x9dQC8vLjcujS2nL/FwbepsuEnUAhXvqK/kzDpytow1aTk70ajXq/XKGHQlWC1dUypSVaoIVf7bzOXQHCjuuLkKipvvTZ5MnRSPgSnZeLHtKN/8O53KBXS4nUMAFPCaCikVUBtv/OZgYQwu0Hb54PHVFjPJv18XN1y+OsVg1B7y5hTjVyvHtBLbhg/Vhk/bvQkqDPCbarc51flvB1NoB1OIif+l2FHCex3Hdm2hc+t0u+PwQcdhjHS3Ow7fBzqO3I2OYwE6jhx0HNLNjuPtNbRymw6divbjhtCAb8htdhttNrNjxGF0nQmc8Q2EVPXqYo4ibP1ffv9EJhPLAP9f6HiLfSV8OXDJt+CcME2aaoZsb747cQodQYO0KWyOmHGz3x6wuh12t8Nt8ZlwbDY8FRz3TLjq9oqpaiqeyejTffFe1KWKRG0FeKFJ14lauBIou/OenC1tkk1yX+w4qMSDG3e1HutYYqakmjKmlDP5EriUSqKWqAljcDrU8fbGT3VojpwKNoNNd8VethWHswOKIXlKegYeP7FxtEV3zLFTsabckGvp0eJoIT+abqTq0gSavWlW13+mUztwmgJdBNKO0JDD39RFPqyStqqLIquS9soprdlksVrcVpfNZw1acWvYQlmjVsaMHgMCP1E7WdNPDd8g8ECbwLH3GXzy/OTSuRsE/h2+ztTo0WiFrBCjwUqg6h11Vx1jtsYI9u/azbkH4KRtiuLqiASpSFFRkgT9StzUL+pG0XWu3wVcvjb0h3H5ceHU+1x+5g/k8tW51cOtsg4dD3d7Bjx669CgdcjS5+7CuwLHo4fRIAKBl0ziiGSTbQmn7IWFJ8IJLBInk7TqJ3OohBRo15NcgpN4CbRKEOCa8OISrBLNEJlQIVQOYiW8FmoQTXySmuXqbI2vxEelspxL5ZVUVi7IxVgZ1VGVLPsLgZwnZ09jjrRVMSsjsjk1rJhS5pQ5a0rbivaSveSt+s8G6uQUWkBTYDgmMhPFer2G1atTxYXcQvpi4hpfYapMlapGy2QhWorkwulIJpyMxKl4BNpGKEM+ykUxTh37qP1ju3sEZVfJh2SibfUAZ0izUY5iwwKeCMYDslvGXAlnwirb4yZxmDOzVtpJOiIeIoD7A6FAxBfx0h7AmDluT3sy7ryvFMRG/ZVgA6/j9VADbwbrwbq/7qt5yq6yM2/LmNNG6Qzqv1HUSVWA0AcmyqG2AHmQA7gn0O6yiPZEORoDKonRcUrG1m9rLQfG/eP+5m5f3VNzlJxlaxYipZyR+qBgtm00/ycesapyRCGTSsubU9tqxyR4xFF2lCkyeXQFP++fdc27xq0109hwyZDWZ/pjYCTQyWhP0IAPeIccI5jdPGIzuoadBm9/sKx27v6CL+fJuHLOjD1tyVjSpvRQC1s/u0u2xL08wYe4CMAdCGR67eM6dDm0aJ9xTg+MHcn5BI/gFFy8hRuEC31y4+HWno4FdlY6q4wna9lSuVzMVOS6MiY20eSmzVy7Y+0LwOKIRgyi2PZvSCSlGn6GXr/+zk920QRNAjtESaAGAsLsh/CqYXapQzoOjARPiGEwJWAK1UAnsPXrqz9h4izIyW7QjxgSEM+K8BsqWR1jqkMqMGdQAal2OW/a0RTQfozGNutZoAB2VCv+zvAuEReUlrg6zKu2Tty92SJJQkKdU6E0VwQ2yLAySrLABoxECTcVjG5r1Mbq3s5tu1WpDNIRloA7QTsKesUyDBAG9KbQ7UBGCTEEKyAERD/v4V0cZmEdlDvsJgL+oAd3h61RM2UE/92L/WnrBKiiOtNQzZE6TwEz9luT1aBKv+8oHe3ZJrM5ByBBHYO/NgdQ1ZEUVTypvRetMuuqsn6nFmfDEqlQH5gMc+3JMC+J8ANR4CSA2Z2/6kDfjb+QupRaLs7VxmvNicpsdj5zPn6Vr0E1j1IVskCmqRSZoFTfKJACialXvTkHVuOzZct/Ahv7mG0NCmVuZHN0cmVhbQplbmRvYmoKMzMwIDAgb2JqCjw8Ci9MZW5ndGggNjI3NQovRmlsdGVyIC9GbGF0ZURlY29kZQovU3VidHlwZSAvVHlwZTFDCj4+CnN0cmVhbQ0KeJzNeXlwG9d9v+BI5MZ25COlQ7lMnDY9Mp3p1LJkW07TSVO3TVzHdmRTkWRJvEkQBEmAOIl7sVjs9fYEFguAuG/wJiWKpERRPmPZSePWdqdx0mZ6TPOb/poZz3SmE5AE5fbtkpLtX39/ZNKZTLGDIQfge3zv+77fz/F9ugMH7zig0+mQzs6jj5oeflj9/ShofmP7g+2vHwJ3fwrcffALdx44SH35IQBu/3J3K+j4jb+9v/HufY3oPQ3LvQce0ukOInffe/8DD37hN3/n937/6KNP/NHX/+ypb32788z5nn79yNiEXf/Ecf3xY4/rH3n0hP740Yf1x/SPPH5Uf/ToY/DnI/pjJ47qjz1+XH/sicf0R0/ojz0G//AE/OrEI/rjx5/QHzv+GPzqmP7YMfj14/Br+Jfw4+OPPgo/flR//OGH9cfhx48f0z/xsP4EHAunOX78xIEDBx763N2tn/r0Q7r777mv5XDbnYeQg+1HPv/gHb9+12c67v3sF37tgQM6UkfpaB2jAzpWx+l4naATdZIuoovqZF1Mp+jiuoQuqZvSpXRpXUaX1eV0eV1BV9SVdGVd5cAXYfAO3KGj7vB8avngdw++eeg/W38PefLTn7vzzrs+e/eTd6985vrhH937pfs+d/+zv/ZA2yMPPPbATz7Ht7/64DcfvNLxh5/Hv3DqIfsXOw/v/Mn2zxv/2QaeDXbaz9vOjfYNGPsNFyyd3u94ToaeAT2gjx+K6CMj8pgyHrPGnYpT8cuhGIJLYYWMUwqVBkWQZBUuxslclIvwEi/wvMgJrMTKTDKcRtNo3l8NIDXfTGA5sBRYDW+yS8y8OBOblStThWwxky4o1URFnAELYDE04656y7aiOYeYc6OZ4fRwSp8ayuhT+uxw3pA3lsw1c9U+577oXsKugJfBy7GN3GrucnVhfhpZqF0ubKQ2pl6Kvs7WmDpVJ6fDVbwcqmCFYB7LoYmQFI7gQpijOZIlWBLhcRYHIRYDGAgAPwgyGIMyIYqgcTpM0BT8heRwGhU9MY88GbMlEJsyoYzGjPKwOMAN02OECTMHHX6Xx+3xT2J2zE5agQ0MycYpS9pctFUnkapjdnLBs+heci96Fl3wcSw6Z61Vc3W8aEwPpgci3eAsAloO77yy8wflNoAzJE1SJEXhNEGHaAw+fuAFPnVxHMaFuDBHcCRPC7TACCCCNO5qPXPyTO9Zy9mJs4HT4DlwRu7L9WdHahMLlnnXpcAV9Er4VfADZGutFYiseiy8IET4CCfzMS4OEmyKTTFJJgYUOkpF6AglkBzFEywFCGQ33wo6hd7IaNSomFP2lC3nKqElXy08y63Ql6cuTa/U11avfBfZvlObm4Nzi7fnjsGUmNLmVkAczivREpybvzX3h0daD+/ot98ttQGMxsMUSYQYuFnKx7iAG/hYlA9yIZYQ4VYjQEb+pXWgp3vkRZifp9FOcAH0iAOJQcWYMZfMRUfNM++bD10E62BTWc1dzC/WZy+WkeXSRubV5OvKW5F3WaRxzzstYI6awat4JVD0ZDxpe3JCnpCN4iDbx+jDI5gxaEItqDXgRN2YJxggQyxCMDBJeJIjBUqkRSrCyEyUkYECUmyCi/GyGJNlOZqKFRIFpRyrK0hdnonOS/PSgjDPfp95LbTuW/csO6qm2nh+ON6X6BFfBJ3I7n+0Nk9sPdzW/GLLBWaQMOAjmBm1+Wwerwt1Bu2EFUyA81OD0+a66bLvJXaNWYktFpfzy/OXriKNztbD23+2rfs/bcDBeCiURgmMIIhwiEQJlPSTftpH+Sgv7aU9wAO6QL9kUAyKOecoI46yZyZ4EbsYXgcvI1ul5n2tGBMS8Hg4RmVAGcRZhYXVCw8vwgmCKMDDFFkRBu7ehrEFqGcrcILIS0IElriWOVyKTTNJWsscWqIjMEowMWHEAIU0jQ1Pq8QIDE+LNA9jyOMczoZ4DKCwziyUKxwMB0JkkEWanl3QAr4ln88YM8Y57wY7xUAo4ROcIsiCzMMFwUfkJJaHs3EMzB+KJRBYvbBwebVsUbV4toxq/Ri2vG3gq6En3c+6n7Z8x9Az0tVnOG8/Z+tEnwHjYIKzSFbRFrUmbYo1ZcvbspbSRA1p3tF6q+hIElY9reUhjcKiC8AHU4uODcOyowTqVtF1HPqKmvEwSPx+NakxUWA1TakxgdUUhzERtWriKQ4CjVpNS63VSqVYzpYz5VQpUVKK0ZJUFspChf0B85rvquWKeXm41l3vzp9JnEx+O/IMeBpurfnkZBtYp9bwNXwVXXbNu+dstfGcKTek9LBOxk46CSduxxw+h9fusjlsNsu4eRRp7rauP7/ee8l0eWzVuw6LdVGp5+rZUiWzkJlNLkdX5BX+MlhVI9fR+jsdh7ClNjpIhgiSwEOEuvsA7aP9tBs4gBNWo5fzcQFOi4RIqOccJWNIs7QzfIhuaXIfDqtjSfIIgRNwcJBG4VAf7QJ2ONwFB3s/MZiM0rHmv3UcXGgnknQcyAAyhiRJ8KzjXBKk2RxbYNIQMxRYbREqQsHcIVXQY8NIY+3D9w5xLY36zjswHyVeOsILoijB8Me4BEzJFJtlczD8cS0lNTCDWCmoh0c0Nj98px2OvbjzrkpMnDpW0MbKnMKpJZ2DY1OMwiiUTIukRHCQGCA2BUhv82cdzRfaD2/vbK80HmuDSRGk4TcMRGj4JlWOIHEshGG+oDPg8NuDFvhM4GPEOD5KGwHyNDgZO5s7m++fNVw2XLJsut50vYH9Nfgx+Bflh/nvFb5ff2l5ZXllrX49fz37WuwNDqnTVapGVIkiXgwVsVwwE8igiWAUj2JiGIYD7oeHq9tbH3yCCDDTThwLo2ECY4MMKvkVX8yTcCYdcVtiXDHFDNIA+1XmudGe53qfdTwCmggCvi2eifco3amh/HhhrGKf9s16F8KX2GVmTqwn6ko5mUvmk5lkIj4Vj4sRFhEZERbz/mHgHMZiXFAtZo263tuxbLnbwB9j33A8M/mM6TsDXYNd5wzPW05avol+DXwdPB17IX+qcGF2aFW/Yrq+v/8fIeC92NuZ72XfrL188cry2rWF18uvl95O/JD9W+YvA684XrVdNS72LvbUz2S+nXlO/ib4Y60cAm1gg7yKrWKr3iXnvGPWVBnODWe6Y6fY80wvNuwedo1Z7Uab0TOE9gR6iHMqu54Rzss9ck9qMG/MqczoWnKuYS+xG8xKdDGzmKqVi7OFmfSSsqasChsQHvfo+LhKxzSpPgQVVpEBpnaQ9sGK8EBCRjnIUDAUBEdodEypyLBVbgWb1OXQbGgarXqKnuJk2hK3xk0RI6SZXm/vWP94V0/XC8jNOz9CnX2qD+zP7YVUf2tuHCLqbdTZObJPszxEHZj9EK1lTtZAJ8kkIDHFIIWrRKVSOLdHs827Wq+/dn1ls3q9cj15nb3BXEdXnJcc8+ayoWzI9Me7lPPiKQg0u1cgsZze/sp2ow1uLsBAOaTmN42rUoSmCIZgYbJDBIegywfhG+X9Asr5WD+LeBg35Ql7cDfq8ro8LuekxWl2jFn1yO5Pf0WbfKC1PF+qF4r5Yi6TS2bjWTkr5YQsn4H6M0arcKAwcTpOqqUdIyRKpBBBJRKKo9QJ2DAbBkFNAvr28znXeFordAa/VehqmdNEmMDhyx+0+5x+s8/oN/r1aF+oP3iBOgeQx8HXkt+ofqN68vL5V8+9on974ieWH/v+Ffwc/Hzq36r/UP+H5fc239j87o21v559p/5+6h9ZZIlZohbwRXwOqwenA9VA0Vf0pQIyJmMRNSgEF2YJlTc5VaEG1WLzgwCFMRB/aILCqTAFoYeE54Ix/og76Y3bp8ypiSljcjA5GO+KnGaR55nTKNT01n6DodvYZX7B9bTr6eCfgCfA4/KTmW9lvlU+Ndc737NivOrcsL0SvMEiLzHr0nLiYnwuWU1VU/lkOpGNJyIyK0L6FWie1paFcxB5WBSuxr/Hvo13PpKuv/BR/1Is2rHzBhSOYOf3t5Q2YA67/EFfwEu4WWT3n1vAGelCrD/WnzYUx0vj0/ZF77JnPfQqt0ovC3PR+UgtWpLL0Ww0JaUicUEDNUGtXFpVvLCOw7edQBCEmDAIM2GGAAQMNQV3RBEkQpFoeDLkwuyhMdyEjRCD+CA+QPdAiPuLWGfuhfyF6YGVwUum687vTb4ZfBf8BAHvx97JvZV/s/bS8trS6vrcy6VXC2/E/5J9j7kR2LRfs62Mzg7ODhS7pk6nTkdOgZPIaGvzDzfb+H+c/Kv+zb5rz5W/CnFjODTqHfNOOBwW54R7PDCCGsJ6ehjZ8v4310CG1dBrAka1M759AQO1EkRtUgMpet81nDt9ru+M6cz48/5nwVOgM36ufKE8uDC+blq1X/ff8L2BvwV+AN6X30l/L/1W+eXZNWRu9dL8Rvla8dXE99mXmWuBVfuqddWw2o1sFVoBz+4LRE3+w2OMsfF9gaiWXoTW5L9G5ppA7Nh5q7X5xPY9bd2v9Fzune6tdU9dUIU4Oj455rSZJkddBv8Q1hfqJXpBL7ggdke6pe7EYHoEyRiKppqz7lxAV9kik+PzUk4qxPJThWQhUywW8+VaZQFp3Gw93HHoWseh0M6jbUA9SZyB+E1gzczND9oZjIKimSTDZAj6vCD0HH7mltbxcX5OzVYYMIEQSCgE6AjSPLn9JQgkweaf3vzS3uAjUCuRWpgpP+NjPHDs3ugAHK3aNEIbDV1PpJne/qCdliFsSUyEkYAE1IyHwRJUsc1HofCOQ/k9xWaZKVX3wD+VaESiBZVr1bQkGuM3Pe2QcOXG+W2PKsw58YgAXxK3VzKq1UqpwlkrGS3WtFYycDxLNIw3fe08xsqNkW0PPCaRF1XtI0S00YpmAtOaUYPgCg0OXLQKrppDBuT/Ui78ZRX4xubG4kZ5o7SRuPb/J8NOlQzXW/fshG/PTjwD7cRpaCe6+wznbC9aO9GnoUWzcDbJLtijDsUedyTsWUfalrOUkd3TrTDbtNYB3AylbYaBKXZrM3yQ1TYDKwHSGM+IQEI6Dv7s9mb2SY9TSS/OwrSAilQG8p7FUuvn1maan2mtVqulcr6cr6TLyUqiEqtGa5GaUId24nX/uuXKBLQTPfUL+3biWfAXmn5ytYE1ah1f1ezEgnvWVjPlTNk9O+EgHaqdCEI74bO7rDab3WJS7UQT2onV3pXxFWgn1rjL0E5Mf8xOyJehnVjdsxM7nTuf3/l0G7DQbhzD0RAR5JBmW0vJkjLJJnlMGANj4Duh8+4BT59txGgeHdc7enw9nnP4aU5PG0RDbESeSLhSCOrDfCFfyEO4wCSwxCfz3qKnFloADTTYvk6v4EvBZXTGU3NUnXlLaiw1FjGAAQCJ2DXkHpoYGRrXm7psL3hOuZ8KfQ0gT4JnpTPxM4ne9EhhJG+reKe99dAsWAAFIS9C/IjmlYySSaZTmVQqm85lkNGUpeCpeMqhKpgGF+Wl9Fx6Jl8vVp1FTzUwG5jGtV5D7Gp6JXOxuDBTQ2aqi4XV1GryanSTrTEVukiXyAKVI5BGpQWeHyGhEsq5gV09AaUZbAM3PBuGBcP8ufQzrJExEVbUik56PS7vZMAesuIW0gIs4Nn0hXnDvOGKG9LyHFMTSkpZzk6lcqlMIieVo0WhAqpwwp/c7G4DF711Y8GY61VO8U1ftN3hcnl8Xr8n6Mf8IV/YT/koaOhgofYUR9Zsa/Y30R+BTXBZnJfn5Woyn0JyqamsnJPzQh4UtXP86U5sq7UN9BJDqCGo9465zC6TzWp2TtjH3SP+Ee9wcAAfwnvoswBp/rTFC7y8P+6TQxm4pI6D4VZQjmaSSiI2JU6xSONqy/vM90PX/JueFfucec5UNkz1pfui58FZMEqN4WZ8HJ3w2v0Wl93msk9avKYgshia88+4p101W8FcNGdGkvrEYKQf9KgRjG+93wZmyBpWwcr+gjPjSluS4/KYPCCchdn257snGmda1ukFqZaoKoWpbC6TTRSjVbkqVEEdjv/R7j/DgIXnA3V/3VWy5m3ZsSm9MqxcEE+xSLN390KDa7nEzAv12HSskoCskk0XEvVEVZoFi1psHt65p7LPuRAOtaaBaplRCFku1fEClEVZjFcbB7hGA4RIRpDd+7aIQ7vkrwjrbr7W2vi/W3dJEjTI4hHoc6HBhpjCq15XZYs0FNNxjWygT4Z+l6c0Ziag3A0RIYTEcCyINX/c/Lv2rTt2TbJfxAT8iIBDoUz8DySfqu6FT+yEjfEKe3snTJyCBPTxnZBqpzDbcXCtDfSFJ7w+r9eM93OD9ETEO+VL4hWwDJYjlampqUQ1chHa1yqe9E/5pAmg3zuqrRsPNO9u/hOBBkOe8BEPYaUMKk9DIEZVjoeGWqVlILFRPta4r/F2O/QCAiEREhmhos2/2f73diJJxYAM4GpFQRJhBPk4e7tbACMY05BZJOE+wwLOh5CGfFN/iG9psNujoiJGRDX8UThMgTRbYDNakyFByZQI/wk08arDwEi0+cMP29o1Pdf8pzaVQiiNQsKQbXFIISikEI/WCA5CCsE0CiG07ppGIVt9reZxs9XqskxavdaANWALWQgII/SEJu7Ol7v+m7hDPlJ3c2tzqyvzV/fFXZUpk0WyiJewYqDgL0HeLjkqttoE0tDBPOSEvR6ypLUK92gqycJk2qcpEQq9j9FUR7MNCr0d+y8m9M6LXZEeKPQG0kYkM1yc+IWE3vbydm+j2AbOhfrderfeOjpqMVoGJ3vQHv954jQwglFuXDCJExFbxCY5ox7ZEw1E8QiCRwiZTGj3FwUA60Ltf7IRTuLV/FSb2VAsRWmFTGJJLBPMo0gOLWM1bBqbI5Ygype5YqQo5eRUIq3Ep+SMnBELoAKK4bw/40u7U44k4ohbFXPcHDMrpvi4YkqYk+akNWPPO3Pukq8eqOMLYAXMR+YTc8nZXK1WRqqlhexK6lJyI/oKW2ZKFHyIPJEN5/EUkcCTeAyPkJGwSKjh5dTwstC8qg5RbQNp9xfqlYEq1MKU+qJJhmTDDLTr0UDEF52UEVfUGbVErRETb2TNjIVyhB24C/Ohfn/Qj3twD+mGCGaW7El30pXyFPxIwV/0V4M1tBaooXW05q/6a96yOz+Zd6QtCXPCJI2AQQ0RhMbPPomKOI3BtEX3RSJ0rhzKhzQnQgjULSfScfDv95OK5yVN0cpsHJZKfB8StH4cs4dR3EdJ9VtQ37d0dxz6q0+CkFYrGgh5P6FLb4GQ9i+31lvBErkQnsWng1Vv0Qt1qS1uj09ERtkBZsg7ODYw3ttz4bYupeDs6ty4pnlRSKNqbz2gbkebO6xpXmoP4LS5oaeHc6Nwbh+c2x63wbmN7BAz6B2Ac/f8yvs/mysb1auVa8kN9daNqIemsUqgAAVVdlK91ElaFUt9tl6rFqrFSqY8hZQTZaUkFaWSUGTfYK6hy1Ajz2gaOd0fgxpZgLyN7L7dqoqErHrk4ONHrsVIdVPuvSPnsL19QFuhdY5luKbGG/5537Rn+oiv5io7Cs6cJW1KmBS1TYk0kd1rLXtxv9WR/4XSaOn/0Ry1ljmmyuSZAp1l0vT14Jr/4uTy5Ky1YqqMZUcS+sSQ1Ad6QFd4EDWgw+5R2wTiME/YRl2jDoNnMJAP5vxpf8abciedKWfSmrAkzXFT0thAmhfbZYvkhvSO7rNhU9n5Uhu4hl62LdnmhyqdKS/vFBycgzOxBrih3959qvFHLevMJWlOmVOg3MoXs6lSrKpUxGkwq9HU4s6LO19uA08FT9pPO0+Pdg8M9Q+9OP785Ennnwe/Aqf43V39LxOTeTUm2aSSjKfENIxJvaUOY1KmK/RMeAFfCC14F52L9tmJ8njZmB1O9if6Il3gnLqjb0Lr8zK26lx0zFsr4xlTeiw+Ko0KEEnhao7vZhp/0PISsx6ZT84n6pliqVjM1pT5+Jy0BC5qYLC7/WDHofvb1BKkcCYEzTfJhGElMTQNOZ0lmDCURjgX4oNikPcLft7HeXgXi1gZJ+EKuTFfAPUEJ0MOYoI0kyrCfLnRpV0oqT2oWxdKfIjbv1CiXfjtC6WumzMtt2FIw4S92tqrW7W2btXtxzBhe6b52VaUCQnhOBkj9y/E9q6zoUdX0Ynbu9BGGp/91xbwVuQV5Yqyll0sTpdq04XFqcXEamSTLcFsKxBFMk0oZDwcVc+CEAgujKgdM3Zvtei+hDysdiYIQAMKUAx8AwjVDAXfkPibN25+0E7f7lKofQa1S6H2GRzQD3m0LsXedfC+wNS6FDe2P6Al9dLkCCNCxOABz/BA+KjdIGnthhirSsckm9/XL1q7IbJ/N6s+Demmp10McPGG+FG74bby3GsYZD7WMFD7qRrkkJpeg9s7cOC/AFKraeENCmVuZHN0cmVhbQplbmRvYmoKMzMxIDAgb2JqCjw8Ci9MZW5ndGggMzEzOQovRmlsdGVyIC9GbGF0ZURlY29kZQovU3VidHlwZSAvVHlwZTFDCj4+CnN0cmVhbQ0KeJy9V1lsW9eZFh1ZvE0cO+2AAQq4LfpQoB1MBl40jlO3aZJB2mz21I4U27Eia6dE0SRFcxH3e3k38pxzeXlJXq4ixU0krYXaqMVRJDt2UqdJmsZNi6RFi3Ym6GDQhz50Fm2eYA4ZuejM02Aehr9IXVLEf8/5zrf8UjQ172tSKBREW9vRVv2RI/Xro9bdZ7d+sn1qPzzwADzQ/NUHm5p93/wahH++OKCEhw89/KXN9i9unji0+Y1Hmg4pFM3EQ4f+SvXlr3z9G9967EjrSfUTrerW44+rj7Wqj/3dSXXr0SPq4+pjjx9VHz9xFP8+pj5+El8/3qo+/sQJ9dGT+GP83ZMnmpqaDu1vUex7oFlJPHjg4YMPHfpCk4JX+BR+BVBABVIIioBCVAQVkiKkCCsiCrnpEbz+pn0K3z7HA19rbt8/tF/bUlBGiJkvUA+aHnIdmHn4qwe/eXDnye2tzc9U4Iyn3dxh6tD29A33DnUYX3G0O87Rp+Fl2COqQ/0hTUQfvSJfjVpj1qhbpsMEHeJkX5yLgRTKgQSKIVmICGEhFAgGRDEgCkEkoTCIs2kyReY9JRcx4Z5yz5Nz7hVuHc2CanAyOhkpJXKZXDqdi5WiE9IkqoJZ76Rjwj5hzhnGCUNGmxlMDY6pUwNjA6nBzGB2cFxbNJQNZdO0Y94+511FN8FNeW18ObNUnq1WiGp5KbeWXEveCL2FyqDiq/AVtsRO0BPenDdLZcg4HWIlRuQCPsQLHOIIgYWMwEAaksgDPJAEXkD5acD6GD/P4x8e8IgGZNARcURGZXOMMEUNUa2slQfFfqQGw/wIZaBMbofT5nBbaQtl5k3ICNRhbXokNZIzla1EyTo1Ouuo2mcdc/ZZ26ytaq1apq6WDSV9fnhsYKw/chmdJ2DLwZ13d44UVYAF+LY+nvdxeAmMnwIUIIELOqAHeRGJaIET2AAfAKJPhCKUiM2HlOfPXei+OPKq8YL7AjwDL8o9490ZTclYNc7YFsnrnlXuNvoJsVVTgiDCJyPg45HEED6oKIqiOBqDSZgAMoiCsD/kl/igT/AFeFQH515GCdrF7rA2pIkZUpakKWsveAruMjuFaqCWrF1brKwsv/4Wsa1UwiD8H71llMC9UzCOO8uN3kHcO3C/92ePKg8ebv7j4WZx+zEV3G12fkt/Uvd49/fb8OMH3acMpwx/497dB4ndUosDukRX1CUzaVQiDjeTSlAMpRPRhJwIphCxeb1l8wHwB+cv9Z9ceb/nZvuN9oXnS0+Wnky0wr/GuO4+z6jAh/T79ndsdwwbA6sDyx3Vc8WXC8/Ej+Hmf/8Ztflsy2/AXfl29q3x16cWlueWKm9m3s+8F/kYfdo4lqHtjwoq4PWzLM/xjN/rp/xuYIM26EKUQAqMwIus6JdQhPi9srfrsuaS6ZL5gqcdXoJdUn+sLzacNuQNeUvFOeOYYebRKliXl7Pz43PXJheKxHxhLXM7fjv2nnQXEpuP3G2BM/wkU6InPDlH2j5miRsjhog22I+6gZob9mooPXnVY/RYKYfXTnk4BhEs4BCPCcGLGF/JL8GIPwwjMFpHPoAFGYzIkXA4JediuVgxWpGJSmQyXJWmpapYhe/BW/Sq67pzzlLWl3Xjg/GeWJf0Kmoj7v1JuXty629Vu19veQ328hp6iDaQZpfZ4bBRVtLMmZABdCT7rxkq+iX3m3AZLsjz+dns4kztOrF5Tnlw+/vbin9WAStw+EkfydMcy3I0R/IU5+bdPpff6XP6cQEn7IA9kiaG+ZWxFAlzwTlFLVDzHNY1sZXb/ZKSBLTEymzUN4aKoOEwqO4wEi4xKGCPESQM3Bc3NS1ARHXTEUWx/ucGu4UETKEUiMOov8FuX9AXxEgJuCBP7Go2HcogFP2N4gNsgBUYRGOZUdgLjD47S7IUzXoRseu452+BL4U7Mtq0Ztq5hpJ1uxOjQlSMiHIgHGgsCLtdAARgwB/wCz6BJxArsLgdjduRdSZt9dU1PrRlV8Hvep+1n7a/ZHxFc1lzuWeoTpk2zxmogyMBY9AoXQ2bEqbY1ZRp3JQ2FoxlYnef8r4xcDznrxsD9ilcLujCzkXhNdMCvh3mYt0YMBQScXj/CSW+CDYwCfwZk7riMSaJ+6qsY4JX21AlT9yrKicmivmJTCFTTBZiBbkQKUr54ESghLly2/W68bphfrDSVe7KXUicjf8wdBq+UNfY06MqsMqvMsvMimfePm2bNpX047qsWu6GZmjhLZyFtVIWFybQqMliMl/VjwwTu7vK1bblriV97cqyaxUtgln5WraSwfeeSU/F5yJL4cXgElpqIGfb/L1TBZ7n2r09ZI9j0KK36PUWjWvI1cd04DvYkDPgEKgAHfCKHN6/D+sRBAn8IsF6hbAgYlBGmDuoDkRQCOCHgMHBFhrCSMT8cTgGiSxMB1KhVCguR5ORZCgTLIiFwCxaJ3a+swdlYA/KSMPgPjfPusF9Ti/pL6H87Ell5nDzr1SgjzG43E6ngelDfcAQciVcCaaIFsB8aCKZSCRKoUX8ZoJJuBOu0AgaqG94+1+3a5snVDiQvNDrpyHt5/wsfvJ+LCSa9tIuctRj8ZhJI2WkDIyOvcJe8Wkh8Tw8J1/MXcz2TA7Vhmoj6/Y7th95P0S/BJ9GP869l3u3cmO+NldbrWyMb4zfku8gogzKvhJX4op0ns55x6k0mfbEvGE6TEsMNhVO4AIsYhAj4DXAOo+BwWfjKIZkOBqRgJTcUXfUHhuNW+PGmD6ml4ekfngKnrnSfabrjPU43CUIeDZ4PtoV7UoN5HRZ3YR50jXpnGUW0RyYliqxSqwYzybHE+l4MpaIRqUIIjB9MYkFv4iTDtsrg+lNYZK790LSuDWqgk+Tz9nOWE/rXunv7Lt8afCc8azxOc9T8Gn4QrQt25Z7bWpgeaCm39jb/ycE+CjywfiPM++Uby6szq+sVd8u3i78NP4J/Dl833PLcst8fXiue7a7fCHzw7Ez8nPwqTqpnyFVcI277l3xLjvnrNOWKV0JTyDpy/J5+Crs9g7aB+06o1lrGrYPkF3kZbYDXSDAq2KH3BXuSvbnhrOasnF2tDq64r0JX4dL4dl0daxSyE/lro3NySvRZWkN3tjbU+vnwe/DCudw8LP1lKnHPvZHG3TXDQR5cfDXj8TXcCus7628EmzwNWaSnvSUnXlHzjp2NX41qpO0OCx6nD26bl1XV+fLxH8Syr/szfjpvd4OaMe9ycZQwTZ6++97x86je8MCwpSXRAkHegTzPYZSMAFj2DhkgOMcDws4zjHjG4G++6By/fZ6baO0XtxI3IA/ghtUzbJonTFMDBWH0r3RzuhrwTb0EnFvFcdDx/ap7X9XQQdmONUYuOqb5nx+PPjgPGMBNk6RFrxYzzhjRVLwBNzIhQg7cPjsjIOxk3anzTlqtRmtIxatSU3c+/T/aZOPKgvVfCWXz+ay6Uw8Ex+PZIK4AuMwDOWGEWA38cV9cr34EPYiQuRxHPgR3ygOMghrGpHQ2Tj7X+xkN1/8XOjMntCZutB9LMcxDMu4KIvb7DK4te5h9wDZS/d4O/lLkDgBvxd/rvyD0tlax61LtwY+MP565Ffuf0H/Bv4j8Yfyb0u/XfjZ+tvrb99ZvTt599onyd8hYhbM+arMLDPtvUZeoybceVfeNUZGvBGvhCcYnHwNsSGmEVcUpAjoxPjVhx3aj4dhPI82hmEOUcAtOeL2uDmBB9zkcKI/0R/vlM4j4iw4T+L/Hky9Gk3nUOdIu+3F0Re8z6AnwBORZ9Knx14svjLTM9VV066Z18y3yHcQsQFWpIXEfGw6UUqVkjlsAWOxREhGDf2DOuQBTAWhHsgknn4beG3pN3/237Xyvzrq/1MWHt55V3lwR955bEtWQQNjc5Nu0sXaEXHvn1rAxWCn3Cv3pgYL+rxu0jzvnHNep99ES2BenA5NhyqholwMZ8KpUDIUC9w3Nbyexmy9NxhgU8MQY2Nl/QzkAK6GxTemf4LnSdZG22iTV0fraA07wA4wPb5u+BR8QW4bfznbMTlQ61vUrY/+ePQd6iP0GwJ8LH+YxRaHPX5lbnl16s38zfyd2AfwLrzjWTe/Yapppwcm+wqdqQuJ8+E2eJa4otz99hsq9I+jH/Su977xD8XvoB6gpq84tQ6D1Wq0GB06cogcYgeBmthythxsavovUv6i4g0KZW5kc3RyZWFtCmVuZG9iagozMzIgMCBvYmoKPDwKL0xlbmd0aCAzMTM3Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlIC9UeXBlMUMKPj4Kc3RyZWFtDQp4nL1XaXAb130nZIrY2LLkJEPPZEZNJh8yk2SSjK7IUu26iTtOfEmJJFKHRYs3QYIUAII4SJwL7In33i6wABY3QNwA70MgRZomrcOxnEpRrbhTO5lm0o4nnbYf+qEXL9XTt5DSxN86/dD9f8BiB/PHe7/3O/6ramjc06BSqYiWlu+f1B86pNwftu6+vHV/+/m9cN8TcF/jV59saOS/+TUI/+dmnxoePPD0lzZbv7h5/MDmN55pOKBSNRJPHfhy81f+5Ovf+NZ3Dx07oTl5THPs6HOaI8c0R75/QnPs8CHNUc2R5w5rjh4/jD+PaI6ewPfPHdMcPXlcc/gEfox/e+J4Q0PDgb1Nqj1PNKqJJ/c9vf+pA19oUHEqXuVTARVUIZWgElV+VUAlqYKqkCqskhuewetv2KPi99if+Fpj696BvUNNBXWYmPmC50nTU859M09/df839+/8+fbW5mfN4DTZamoztQ119Qx2D7QZz9tb7WepU7Addot9od6gNqyPXJVHIqNRS8QlUyGCCrIyH2OjIIlyII6iSBbCQkgIigHR7xf9QgBJKARiTJpMknl32UmUXFOuBXLedZ1dR3NgNjAZmQyX4/lMNp3ORcuRkjSJZsEcNWkr2UumnGGcMIwPpftT/UlNsi/Vl+zP9Gf7x4eKhoqhYpq2L9jmqRV4E94Ivz2+nFmqzM1WidnKUm4tsZa4EbyNqqDCT3AVpsyUqJI37x33ZMgYFWQk2s+JHOIETmAIxCAa0ZBCJHRDNyCBF3gA5WN4xsdyPo7jAIcoQAbsYXt4VDZHCVPUIA/h6g/0Qg0cZIc9Bo/ZbbOP2V1WyuIxcyY0AvpCQ+nh5HDOVBklypapsTnbrH3ONm+bG8NlnbVMjlQNZX1uMNWX6g23owsEbNq/c3fnULEZMj5OKY5neNpH+7x4SSRwQRt0Iy/yIEpgBEbkROD3+YEfScTmU+rzZy91Xhq+ZLzoughPw0ty13hnRls2zhpnxq6Rq+4V9jb6BbFVU4MAwicjiAF/UJTEEIrgiqEUTMA4kEEEhECQl/gAJ/AiJ7CQJR5m1LBV7AwNBbXR4aQ5aRq3FdwFV4WZQjVQS9QmrlWvL7/9HrGtVsMA/KPeYSTjiuPeSRjDneXHvf2cnxce9f7sWfX+g43/crAxsP3dZrDb6PiW/oTuuc4ftbaca/lx5wuGPzV8x7W7BxK75SY7dPqdEadMp1GZONhIqkEpmIpH4nI8kETE5mrTZiP4J+evdJ/o7nXeaH239dqr5RfLL8aOoW9jXHdfo5vhh957tg9sd/QbmpXe620z54pnCy/FjuDmf/GZZ/Plpt+AB/J72dvjb08tLi8sVW+m72Xuyh/DT+vHot3+qNAMvTzDcgyHDwSXE9jgKHQij0AKtMD5Gb9PQmHid+rujnZtm+lN80V3K7wMO6TeaE90MG3IG/KWqmPWPk0voBWwLi9nF8bnJyYXi8RCYS1zO3Y7eld6AInNZx40wRluki5TJXfOnralrLFheTg0GOhFnUDDDnq1Hj05QhpdVo/da/O4WRoRDGARprPI+X0BTvJJMOwLwTCMKMiLWJCBsBwOhxJyLpaLFCNVmaiGJ0Oz0ow045+Fd+EtatW54pi3VPQV3Xh/rCvaEXwTthAP/1W9e2Lre827X296C3ZzWkpL6T1mh9luH/NYSTNrQgbQluidMFT1S66bcBkuygv5+eziTG2V2Dyr3r/9o23VPzQDK7D7SJ7kKJZhWIr1cCTr5py80+fgHT5cwAHbYJekjWqjhoylSJgLjinPomeBW4E3iK3c7pfUJKAkJsLIfAoVQd1hkOIwEi5/4LHHEJtf3NQ2QT9UTAc7T52BgowiQhwmURLEYMSH2e0L8gFcoiJ8DnLErnbTrg4AvyIlzEyRERmBxgLzQg9yAyNvYz00STFeROzaH/qa4BuhtsxQenDavoYSit35I0LEL/vDYqj+jxJeiQhEKPpEn4BZTggMNhdKoHA7UmHSVo+ice2WrRn8mfdl2ynbG8bzg+0D7V0Dl02XzS3u01AHh0VjwCiNhExxU3QE682UNhaMFWJ3jxowANsCz7Ec63tkDB5cTuiEJLYF7yNjwFwEeC91Yzi497ga3wT+gElIwIoXYjCFMYljTOTPY8JiTB7OqkulYr6UKWSKiWI0HymEilI+UBLL8B687Vw1rg4v9Fc7qu3Zi/EzsZ8GT6HXFI29NNoMVrgV+jq97F6wzYxNm0r6rG5cI3chE7DwVsbCWDwWFybQmMlsMo/ohweJ3R31yrnljiV9TbfsWMGGMitPZKuZQik9k56KzYeXQtcCS2ipjtzY5u8czeBVttXbRXbZ+y16i15v0ToHnD10GzTDMeQQ7KJHpESvn8X757EeQYDwBUAQSriCWBBRKCPMHaQAERBEfAkYHEyaIPanqA+jAoksTIupYEKKRSKJcCKYCRT8BXEOrRM7LzyGEgebPygo9Ipgg/uceWIoJSxBQckWLEnisxfVmYONv24GPfSw0+lwGJge2AMNkjPujNNFtAgWgqVEPB4vB6/hLyUGP3YGh1GfsuHtf9uubR5vxoHkhV5A4WJ9OJDw+WMhUfhykKNuq9tEGj1Gj4HWMVeZq/wQJF6FZ+VLuUvZrsmB2kDNuD52Z+x974foV+DTyMe5u7m71Y2F2nxtpbqR3cjcku8gooIzssyW2SKVp3LerCdFpsmoJ0yFqACNTYUVWBEHpKBEJE4fiHls4MYUXdAsjkxASq6IK2KPWmPWmDGqj+ojA9irngenr3ae7jxtOQp3CQKeCVyIdEQ6kn05XVZXMk86Jx1z9DU0D2akarQSLcayiWw8FUtE45GoFEKEX5EkL/j8bF2QNKY3VhB0PQ5J49ZoM/yh55XR09ZTuvO9V3raL/efNZ4xvuL+AfwhfC3Skm3JvTXVt9xXM2w83v8nBPgofH/855kPKjcWVxZW1mZ+VnyvcD/2CfxreM99y3LLvDo43znXWbmY+WnqtPwK/EGd1GQzXGNXvde9y45567RlWl/qz2gy7eEL6E3Q6e239dt0RvOQadDWR3aQ7UwbukiAN/1tcke4I96bG8xqK8a50dnR694b8G24FJpLz6aqhfxUbiI1H7kuL0tr8N3Hezr2++DH+uZZPHtQvnrsAzsOfqeyfeQVWEE5El9d31AitvJquMHW6Clqwl1x5O05a3okOhLRSUOoC3Q6unSduo6OK+eI/yLUf9ybxr09uLez3tuFO5N17/hDb+wdO88+HhYQJrxUHxaUSI+iJIzDKOa7DIJAqhuHiK0O850ldp9Ur9/eqK2X14sb8Xfh+3DDU7PWLNOG0kBxIN0dvSK/JbXAN4iHKzge2rZf2P6PZmAHbuipD1yY3zzH44vz4WaAFiisZkrw+HHG+knBLbqQExE2YOdttJ2xuW2OMceYddRoHbYMmTTEw0//nzb5rLowm6/m8tl8NpWJZWLj4UwAlzgOQ1CxAaVifJSX+Qgf5oLYiwgcLT7EI65erDJsKomAHPWz/5ud7Obrj4ROPxY67WMxFAzLMjRNOxXbdBpcQ65Bl4bsorq8V9g2SByHL8Zfqfy4fKbWduvyrb77xr8d/rXrH9G/g/+M/3Plt+XfLv5y/f319+6sPJh8MPFJ4u8QMQ/m+Dl6lp72TpATnpKr4Mw7k2TYG/ZKtDLt1dMDiw3HlRcvzkNg7NzKMMwrwzDNc78fhjErJXvcFjXHjSlDfDDRG+uLvSVdQMQZcIHEbw+mbq32ysCV4dax10dfo16CJ+HJ0EvpU6nXi+dnuqY6akNr5jXzLfIDRGyA69JifCE6HS8ny4lcPB1LxeJSBPkBnm6ByD9aFqKQsiA3rOO1pd/85ee18r866v9TFh7c+Uv1/h2w870tuRkY6DEX6SKdrB1isjWBS4Ercrfcnewv6PO6SfOCY96xSt1ES2DBPxOcDlaDRbkQyoRSwXgwisfhR6aG11OfreuDAVLeOUjF3iEDaMAqpVi8sjGeJzjOzdioUcrk1VM6Ssv0Mn10F9+JLe5VuWX8XLZtsq/Wc023Pvrz0Q88H6HfEODjyIeKxVVvLCzPL69M38zdyN+J3ocP4B33uvkd09LQVN9UT/5K8mLiQrAFnSGuqneff6cZ/f3YX3W90/3OT4ovYN/QUFcdQ3aD1Wq0GO06coDUMv2gj9hyNO1vaPhvN7Si7w0KZW5kc3RyZWFtCmVuZG9iagozMzMgMCBvYmoKPDwKL0xlbmd0aCA0OTM0Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlIC9UeXBlMUMKPj4Kc3RyZWFtDQp4nM2ZaXBb13XHBVsinmJFsd3AkVy1nWaSmWTizmizJdcdN24mXhRFtqzNEhdxEQlRFEEQK7E/PLz9vhV4WB4WAgRAgPsmkqJIUbLlRXIcL3Va29nTydSTSdrphzYFN3t6H0jLapLOpPmQyVwuGA7exb3n/v/n/M6lbtPmuzbpdDrk+PGHn+javVt7vQesfnO5ffmpLWDb3WDb5r/8zKbN9Ff+CoDbL7bpwa4H6+6vDN1XsX+ucvreTQ/qdFuQbffe/8DOv/jrL3/1od37D/7d17/x5KEjz588U99k3L/vgHHvfuPehw8a9+/Zbdxn3Htgj/HR3fDXXuO+g3uM+w7sN+579BHjnoPGfY/Atx58xLj/4Yfhnx427oV/PnjAuOeAcd/+R437d8OnD+yDrx+B79prfGSvcf/+g5s2bXrwnp33bUYe0N29/d6tn/2zu/Sfqdnx4JZtn7v/84YvbNJROlrH6Fgd0HE6XifoRJ2kk3VhXUSn6KK6mC6uS+hUXVKX0qV1GV2vLqvLbfpzGJRNd236tU696+27f373h1t21bTq/cjzW7/5mSP3+O/5j23Lnx3a/uPPfXTvW/f98n75818wqA/wXxjY8Tc7t21feWll94ABkCzJ0AxJMjhDUCEmAIKsH3jg8AGUC4IQj4sET/GMRAusBCSkslV/+rnTTWcsZ7pPB14Az4EzSktvc++FsmXUMuKeQq8E54gb4E1kaVwPJE7gJe0rLEZ4hY/xcZDkM1yGVZk4iDEKE2bCFJyYEUiOBiSyFtODk1JTuFPuiHer9qQ9484H8oF+YoCbYifVqYHJgZmZ2ZeRpY+rcwsSf3vuOB/bmDvJxG7PLdLiJ3N/vFW/fdfmX+/aTC9/zQBWN/u+ajrYdaDpyWPHT5x4qvlvzY91PRRYvRsgq+UaL/AK/rhPwTOghOza7NeDYjitxhPRpJzkkMqVmsoW9pfeD7o+6Hyz6frJ68cvPVN6vPS4ug88hICa1WdwA3g79Ibrlvu1rheNl42z9aPPF48VvhHfxyOrT3zsrXyj5kfsO9GXc69krwxNzE7NlF/MvJF9Q3kf/Bw+vn3FuPwePBaMJggKHggdZIOMBziACx4JyqNcSCBESqRkoCAf6lsbG9trLXWW0+gJ0ACapNZEa+xipqvQnXcOesd8o6FJcAUsRi9np3IT5eGJfmSqeCVzQ30p9nr4bbiTz75VA4bpgVAZLwZynown5VS7le5Ih9TGNbNGsgPrCJpRC2pFnUEPHAEK4xCSpThSoAVKoGVGpMOswkbYKIAnyyX4qKBIUSWqRFJKPpZXCsqgggxERsKj4VFxTBzj3mRfCc35rngmnWXzoCl7Pt6sNsm14ASy9iv96qGlrxlWd9Q0aZ9MdAS7UafX6fG4MSdmJ2ygC9QlW0vmkmnKf5WbZqeio/mx3Pjo5DxSOaHfvvzN5e2/MAAH66EDTIDECJIiQhRKBqgA6WP8tI/2MHAAL6gFLVJ7oj1mzjiKiL3gGQpOYePEHHgRWVJXDfogG5LxGBmnMqAfxLk4lJbCh/mwIAmSJIi8zIswcIaKuQZIvMhLvCBDBcpQ2zEhxiW5NFRgio2xcVphZKhAmeZpkeQoqMBVc8WiF1mJETUzkTwp4DzOYTwGAnB0My48QKIhAsZ41bLmqwFHlLq0KdMx7J3jkmyCi4lxLb4iXA78xDD8aGgBVmR5VmB4mqcQnuQILgSnCwJUU9JSh+Zx41KPATwWetJ9xH3YcupCY8fZlgu1tlrbCfQIMINu3iJbRWvEptrj1pQta89YCt1l5It6QLAkVc0LBIPTISYIMNYHJeiHIwjzAsbjcPm0QEuMlhfCyK4tB/RA5OCqoC+rC4xy0PD8ekiSbJyBpmQ3DA+3z5GAQtYW9P39xXyxFw41n8jHCpGCXBCLYpH7LnvDN2eZM0+2lxsHGnOnEkfV5+RnwWHNYoecBjBHz+Kz+Aw64R7xDNtLppy593y0mXcyPbSDcOIOzBlw+hwuu9Nms3ZbLiKrS/rZ4zPNl8zTXZd8s1BBo8pArpzJ96dHMsPx8ci0MiVMg5mqBT9ciQ4ZAA7uyIxBBgUo64ZGdMMIoFxAiwDMjKRES3BHYUpBVu+pzPuHfYO+gZ3ekrvoyDpz1pQ5Zo5dkFvhmW5ZG6gBOEvSNEVScE6cwWiURVkvtLYLChPOyWEwpgRPCJpAmGpUNxe07NOrxhLKevYp1IywJbaP6WN6mTRYDF72TrimnEO2oqnflG1PtKltUjM4C+rJc4Hz6HlPp8OM2M3ddpOz09nuaUNzaBZN+zK+lFt1QrvbExbVkuhKXKwgq4M7FEvYw2N8kMPh2cA4j60YDGAhOGOfcI6e7z+d8gpu0cn38BauA+ayB9eeruyumWYm5MHYUKyoZnO5XjWvlGL94iAY0QK5vLI8WXnUoEmGxUGIxRmKIWiKIWFUCSwUwvwBR6DHZ0OtmCXQRZgIE97JdADkMDgaPZ09nWsZbp9un7Isum66X8PeAd8H/xJ7v++N3OsDL05emrh0efBa9lr2RvQ1DhlgS1SJLOP5UB7LB7OBNJrxJYIRLIJJOE+KZDWo0BwAh9+YZg8z4yIwIhgiof8YVA7E/HFP3Kn2qNa4OdYV75DO8Y8zz3Y2P9d8xPEwLBcIOCqfjjbFGlNtWXPO1O8Y8A95x/BJbpIdkcuxcqyQyKq5RCYBTyoWl2UOkaA3YfWheEog+KrTudvWXPneimvJbgD/gD3t+HbPEdPJc2dbG2rbn7MetTyDPg6+Dg5Fj/cdy9YPG2fapruuuW66XsPeBu8j4HvRtzK3em8Nvjg5NzW7MPZK8dXC24kPuPfYNwIvO27Y5jvGmyeaBk5nnss8qzwNnqjWIxSahZzDZrFp74Rz2DFsLp7vbc80Kqf4WqYZa/e0u0xWu8nW4TGizcFGoh6cQUCtWK80RxtVY+5itgOWdteY6zK2yC2wM5HR9FiqXMgP5gdT49HZ2LQ0D65X9wR5QnONpnCGJDSFU1jVNXcoHASha/ANnmA0nlhK6sFV+lJoGB9Ey94+X19P2ha3x81SJ9/KtPjOmVpNLU2Nx5E1WPNJbW666sj1uQPVud1w7gCHbsxN8hs5SUJWtt5mEKGakhQ+ykeByqe4NJtgYNViIozEyJATYA5d54TVrfrFlxdnFkuL/VfVRe41djE47bzkhFG7UGzPtMQa4g3iCfBtZG0SVp1Ty/uWf2mAC/AxUFVsiNGWRlEMQ1XLJAslB1eECZiI8aiAiijv5/wc4mG9tIfw4R7U7XN7XD09NpfFabK1I2s/+CNt8vP6wmh+IFvI5XPpjJqJZ5SM3Cv2ihlOgQUdPkNHYb6OUVoZU8gwzNiIRPE0pw0KDqhooKk5ALwbes5UnjIAtGp0TDM6jcNgUJrRcQLH/UG7z+Ez+zvgMAaaQ81YA30aIAfA3yeeKj9dOjpT+1Ldjda3un9k+YH/F+C/wX+pvyr/tPzTS+9evbn4ys25fxx6d/D7qZ9xyCQ7QY4T46ERbAAdQku+vL/gSQaimILJOLQaLKrQ6DgHbQ7NBheIaBjLhFgMljBCyz0wpdOwpkHTB8Ju1RO3J7tT3amLydZEW6IhfJJDjrGn/HW2elvL+fazFxq6j7kOuQ5hT4BHwQHlifThzLeKJ4ebRs5OdSzY520vBW9yyDX2sjyRmEoMJ0vpUjKXTKvpuBpWuA3/M9qiYLmDC4KnFwC+9dJc+cEnXvm9j/oPrLG7Vl7Xb18BK7uXJAPoIl2+oB/1Em4OWftZDXhBrlfORZvT7X2mgmnIPuGb9MzhL3Kz7JQwEhkNlyPFaFHpjaQiqXBMinCIhi/QtwyvpTWNN/BqnFH4HWJJbUMsBTdFMdVBMghNBkgX5sJsmCnUiXUQ5/A2vJluhCnuW8rz2edzdQPnplsvma713Oq5Gfwe+DEC3ou+k72Ve718TWPjuZEbhZf6bsbf5N5lbwYW7Yu2mYtDbSPnCg3JF1In5RPgKGLSrz5zw8D/tOfN1qvnFo4WH+da2fOhTq/JY+lxWJwWbyfagbYT7Ww7stQBpbp76eYDq9tWf0IGgiEPudNDWJl2zcFVuoblVyJEWmLDIMyFhWjlvsqbOwiOFAmZlCkY2dV/Xv5wB5mgo0ABkMMkUZYUAZ4Bl+KzXJZNVZuPKCtXz0A7eBFyElJRPmrYItZUuOUmMS5FJHGnLESqj6X5nEaMTAxaVaFlUqIEHJIHxmBUcPX9j7fuqObV1Z9VGzWaguhA49BaUCy/iQ48bNUEUkMHsZoXlhr15i6L1eKy9ti81oAVtYYslJW0MmZwGByP1xcbisbRztmuy85rvtf8rxKvw6YNvKe8k/pO8lbx+sjlkcuXRucLC303Et/hSmyR6qPyeB7rQ/O+gqfPVXD028vdyH/q1zF4vcmDnAz1CLMHVKSmxiiMReSTWNAbuWfX6hfhia10GhqvN0+3lFvKTepZvoVpD3b1dDlsFtdFN0wRoZZQM9UMmkG90BBuCjfG2lIdSPpCvrvUU3KMYdNcH5vle8M5qTeaTeQSuXQ+35ctlIojSGVZv31pbXnfri0PGrTQ0DiLsQRDsdD8NAszM9ASM8nh1cQclIKCX/QLPt4t9HCIhXWQrpAL8/sCbtQVspJmqguqowX5cqVeL0M7wwFxXkN3SGq/he4BiHn1H8VqqvDMrBdBAho78L+KoGZsQtRATzMSLQEZWY6tPqCH9UMmYMr9tPXgqq0HL4mSKGhhhlRReeDfasB3w6/EF+JXeqeKg8XB4fyEOqVejlznimyB6SPzRIZMkHEyQkIdkwIhkIi2VigQWIs38GN85cTKlwzgGfSo4wXHqc6GFmNr2xnT8z3HHE9ij8FNfHnt7B/CqjnIqpFe2CnHUnIarnWopgxZtZ/up4eIUXwsNO4fd0w4hrqLncWO3PlEi9oSPgvqqkTvM4BFbNY51jNm7e/KmFKm2EWpU+zkTRA096zJlYdqrrMz0qg6Gi/35gv5vkwpNpIYlibA5Aaxg6V7DKCRbEXbg+e9F11ml8lmMzu6HaaeC/4L3vNBLfE0Mmdgg/+v/3eDr8oqXPZczQfs66GrvgXvNKz7I6Zie7I13RxpAGdAB20KmXEz2u2z+a0up93l6LH4ugLIRGg0MOQedpVseXPB1HtBNSbawi2gUdtbceldAxik+7FiqODPutLulE3tUrqUVrEObu6xtS9VDtfMsqNSMd4fheWjN51J5CPFSFHoh6sDNR+u/cQAJonRwEBgwFWwZ229ncnzsfbYWekkfLx+rbZC10zCxweUslJU+zJ9mXQ+UYqX5GEw8UmtWb/n+X9jhcCJvCiId5QaLslXSw0TZ+8oNZQAmQDQ2h1LZtfmMQNoCZm9fo/XhDdzzawp7FW9iVA/uAQmI/2pZCpRjszABqyMp/wpr9wN2qq9wuTyqUrOAOpCLW6j22i92GG9aGl1NaKN/jryFOgAUAtyl9gt2xRbxKl44EAjoQiCh4koDVMNkwJZEOOinMJFOJmXoWEELSsJnMRF2BipYmowE8wFkCxaDJYhPoxQE1pe4/PhPjmnpOLpeFxVMkqvlAMlUCByvow/5U7ZE4gjYY2Z492KOdYJOwNz3JzsUm0Ze9ae8+R9g/4SMQqmwag8qg6rw72lUhEpFUZ7p1PT6pXIDS7PFugCVSBzZIbI4qlQAldDUSJMhnFRK6EQWTgKgXVUGyGgNSdaswSBBeIKRROQVmAxpWG+otiQgEYCYb/iUpCeiDNiVezhLqmTM7NWykk4CDfspnyBoA/34h7aDY/WHLYn3Kor7c0GkD5fPlAOlgKlYBkdCMDfvpK36M715Jxpm2pOmOQL66ewq+bsri1vfYom1G9hvKcqF+wOuaxj/JgejDMjOMT4YNnX5+9zpe1xR7wbYryRMfraTEaI8Wd/B8YHq1L0gR4oRC/w/y4pVuemq3OjcG4fnNsB57beMXfzH71FuDozX1ron1cXuAl2hBwMDWDFQN7T58n2JO3Q4NaoZXC4XCoVSvn+TDGJFNViNB8uSHmxwL3KXg1Owp5iyFyAPUW6Jar1FLWgFll7Vf+n10b9oVc78/r5hSvjC8X5wnxivtpHXfrtPuowsjZx556rFy6QbwjI61ozEaiqAu4XrguvXjnd1pyMVGr0dafOtLxgPmM65n8WHIJUU1esL7aNmjaoxlelmk+hZvgyMnx5eoNqbnHX2YXArH3WOnthprEqMpgrBAgzcI/Cxp0yf/tGj9m4U6YhANyJ1qvPLN/1+6FMw50o0/57oszyyvJ7/2TQ6JTWkkKIJiD/UZAEaRIQAFl75zeLWb9GZNrVuCBrV5NQzZ9uI3nHNrSLyU+uxv99qRbSTfViEqYkQbuYJLiggN3mhd0r9618xQAgOwEG0Gz1J0QqWsN9hlq9+dEPd9AYTUA8JQm6yq6MDyYy7bqsR7s05HxQVZioESolkdqFWQRZvbn8QyasyWYnBCsJCIBnRfhTFKrXqhB6IPpEYEKPV3lyna3jUGgSg6wDpaDd7FCV8EedO0RUiFXE5U5eAyVp57pOZfi49n+BBN8LcVRlFBBlNRyVKeGTzWvXXNs3bfofiD6BVw0KZW5kc3RyZWFtCmVuZG9iagozMzQgMCBvYmoKPDwKL0xlbmd0aCAzNDg2Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlIC9UeXBlMUMKPj4Kc3RyZWFtDQp4nM1Xa2wbV3oVbUucOq5jG1CRDdQU7RZtinZRP2Onm2xr7wbeJs7DtuwotmRJ1NN6kBQlUqL4muG8OPcOHzPkzJCUKD5F0XpFkmnJkqw4tpM4m2TjOEGxG2xRo2hSYFFs+yugJNqL3qFkx9jNj6I/ivJC4JWg+917v3vO+c6nKdu2pUyj0WDV1YeOGPbuVef7+ovH1zrXflQOd2yFO7Y9s71sm+fZP4Hw0WSHFlbteXJPoXV34cdPFvbuKtut0ZRjO3bt+aOnn/mzv/irH+w79PyLR9sOHjjctv9g2/5DR9oO7tvbdqBt/+F9bQee24e+97cdOILmhw+27TvStv/Ic20H96J/OHyg7cBBND/4PPp+vqysbPe2P8T+YPuTu7RbyjW7d27d8URFmYbVeDScBmightd4NT6NXxPQCBpRE9SENJJG1ihle9CFyraUfaOJbLmz9d+2/nv5H1fs1P6ltoj95/Znnnh2x/TOvU/++S797sqd65+u781UQgownIdjWQ/N0RzF4YDgcOiANuiChJfgKS+NBuvj/JwPBKCIFZ7Q1pysaXyr55ypxvkmfAPWSLq4Lt4x2jNtmhq4jC8RV+lb8FNsdUELA96A1+/1BXyCT/SGvLJXgmF+iB8CESBDiQtyAid4Ah6fx8fyDGSw+0ktPONvCHYFO+SeIfNQX3ww5co4s/QEnwf5aD6Xzy0sLL6PrW3fjO0rxRZQbMkrl2IPgzCQoLIZ2/9t7N8+rd1Zte2/qrb51/ZWwmK541n9EcNh3Uunq6urjzf+0PhDw9+4ilshVsxW2KHD75AcMhWDWaxqG62FGTEWkSNSJBDlscJiRaEc/Nrxpf7L7o8br5999/Tll0dfzL4YPgj/GoMVxZ+SlfAu+Yn1w8EPDNdbF1vna6dPZU5njin7eKz4498yhZcq7oHPpPeS78WXJmbnZ6/kbsQ+jn8c+iX8Ci3fud619kW6EhIczXgYFj0I5+acYAAOQgePewkv5WX8rM8jQAn7Wtvc0HDxXN85c43rDKyFjWKz0iJ3xAzpnpQ5Z5+2T5CX4VV4TVmIzyZmcuNzo9hcemnklnJL+Ui8i26y67MKOOUZp7JU1pmwjdiGLeEeyRjsDLTwOtDGdLo7cT1hwnudFsLmthEuhuQxBjA862O9KLcCG+BELgSCIARlOORV0CtIYgh9glE5qSTljJSTsbHQRHBKnBanfFP8J+Amuei4ap8xZw05Q7wtrFPqhfOwGrv/jbZ4ZPVvK4t/WnEBNLMXqQ7SgJvtZrvNSvTjZqYXGmHtUMuY8ZL+ivNdfh5clmdSM4m5qfwiVjit3bn20prm60rYD2wegnOxJEMztJvFWYJ1sXaP0+PgbJydswE7rINNgYtKh2IcMWcwS8Y2Qcy5Z5mr8Aa2mi7u0eKAEmiZljwxmEaAkhC0gmgICGh+PwKzwAdQ4nYXOiug+isaCIF+FYGyT+I3EIjQDSRPCYFswIPIw/IsZLFiZ8GmFUAA+FUysT7GR3tJnvS6IQGdsNdjpQkap2gcwcR2n6+AJ0LnY10jXZO2JcSYMB/2o/z6pAA6ENpR9AroLD5QGpwX7YJ5GZ5C4UgUzqUiabVe5XjHqr0SvkD+xPqq7UTPmY6Gzgs6BJlac7XrBDRAo88k9Aq9wb4wGtHeuDlmShtzWHGLVhUGDxIGZlMYCEByLmhHsoB/tzBUlb+gRTkpMd7/MCde+fGccI9yssFKFrs/qx0dzaYy8XQsE0mHM3I6mBIyQtqX5X8ObjkWTUvG2fZcw1h98s3wycjrwmvwZZVjxwYq4aJngVyg5l2z1qnByd6sIaGPt0sNfD8we/oZC2UhzM5+e5+1z9xnNhl6OrBiUbt4aqExr8/r5+0L/BXwdiiXyI2ks7GpkcnwTDAfzAeuwPlS5vDC1yhrx5kzhI7Q2dotRoveaLno6LDrqFpogVbe5nN4cT/pd/sYv0d9Tz8nYEAAIhCgAEUQRNeWIEIOj7DjRdjxboAFBmAQ5UHhIjAKsRSM+YaEIUFRpKgcFUf8mUDa+zZcwdaPqgK3CS9RFTiERImPPBQ4FEICG+K5CS8kcMe0I1Xb7lXCJrLHgT4GqplvBibBHnFEqFE4B2fFbCQSjWTFOX4OZCn0Z4fYA1vVC6+treULz1Wqmg/ckAQUx6BHZ9BgaZokSbcD73dZXGbcRPQSBrqb1tPdbCfEXoan5LcS5xKNExfzF/M9K4O3rR+4P4O/gl/Jv0h+lPw4d30mP3t54dI7iesjN+UPeCwHcuwok6UzdJJMueN4jIi5FCJEBskArVKiBCrKS0GEZAQ0HINGxAucJiikPTjAA07FKdmU/ogl3KsYZL3cITTzL4DXuxpea3jNfAAWMQy+IdbI9XL9UGvCkOjOmscd4/Zp6jI/CyaFXDgnZ8KJaCISUyLhiKwIQR7zI0IiGCNIlnZ3826eQHs7S2r86bppdbASHnUf73/V+qr+THN984Xz7adMJ3v/0fkjeBSekE8nq5N1E63zrXnjO9YP0f3vwC8x+IV0Z+Sj2Ie5G7NX5xaWpt/LvJ/+NPxL/p/AJ66blpt9VztmdDMNY2/FXh95PXgc/oMK6qNEJVxiF4kF97x91jLZP2EYbRu5OHJBOsufB43u9sF2q97U19XXaWvFG/B6hMQaDNYIdaGGUH20JdEZ78j1TFvf7l9wX+eXwZXg9MjbQ7lMciI1PjwjLSjzgWUkcht3OqQWfu4xfpOlwu9EZR/VGcRvHAnJBr89anJUfq+OauEKkycnyHE8a0vZUwPDJsWkGIUOVCx0Np1B113fUHcae7D9d7SDRNqBcw4U2YZ0Dkex3Y9pRyn2+tMI7/xD6UB4F9VSAhU+ykeBopYXVGgCpYKuSl2poBef0F6/tXJlJbuSWYlc52+DFTzfn7dMGUc7Mu0jTVKdXCecga9g95e0O9fvrScKr6j4dgOyhG8aoKN5WI5haIqmSAdhcVrsRmeXq9PRSuhInfsCew5ih+Hfh4+P/TR7Ml97q/ZG6x3jP5t+5fg1/AZ+E/2P7L2xe3Ofr9xeee/24t1Ln41/OXSPx2bBDDNNT6MkXSLGXVlX0pm2D7lCpEQIlFfFdwnhPOIYr8o+wrcDuoAb5Z5CuUI/6EQsC2ieBE5hMGJTzNGeIWO0M9oSblXqgmd57BQ466o11/Y2Xeyo77xgPG09MfCy+xh8Hh4JHYudiL2SOTvRONmQ71w2L5tvErd57B2wKMyGZ5XJaHZoLJqMDIeHw2FR4gXgB+oLeEuw58kS7B3QUYKId/0Hq+FKaKD7nYQLtzE2Hrv/VQV8U7ggNUu62MWkPm241DfjmBlcpG6icjzrmxCnhFwoHcoE48GoOCQq/g1qlaod2qN0dXUXtX6gQQEKokcA6LIcqw7kdjwYyxL0ADlI9roNlJ7soFroFrqJbUBEe0U+Fa9O1I635Fsu698Z+NnAbfwL+C8Y/IV8N/5R4mdj12fmZ+cXJ99N30h+oPyc/xx86Lpmvtab75pomWxO1UdromfFangS02uLf7dc6f1X6x3dStPKa+kX+CbQRnY5ugZN/RZTf4+t29WJt9PtnjZs1YGUcWFNV0hVwlpSN9g22Nrb3Wnq6m0ZaHA1uM5Tb8JO2OUzBPQBo2AW+8SB0GDIFsRFt4hRIhPyKB6ZG4ZJhGOJD23WAiTpflQOAryfR5WAiZBRdwxPEFgcz+A5csw9xc7wOZD2pYSkkAgNKcNyOBqKhYb9SZiFaTrhHHYNW6OWKGZGCmiUjVKPpFf0sjFsjBijvcPmpCVuzThzrhw1Ca/AKXEqPBmZSORG09hYeiqOTHRkOXiTz4A0l2IybIKJMyP0MBWmI26ZFhiRDrAqw9BTsRhPlwYJVaiWSgPyAKXS4PGwKr8BYiJw+1whXLAHrUFsMGgOmoK9osHfxRuByWOhzdSg2+5yuggnZaNsrBWJgBGZjcGwNWaLu7CkPY1niTE868oROVfWOeYcc6StyYGEJYaUJawXOmCLiseqivaq8rsb3cq3wuJGwkJwaq9iQ8ZENSVur2pLmG+FZfWqFs54pqkJGrHRkXKk+ofNSh8SrW6+BbTYmg0t3Y0NtY9EiyvFph7FtqPIiBJItAieKInWd8VWBXEjdp9iVnoexW5Gsf+vBfHalaXsUmY5co2fAVPMJfKSe9SVsiVt8YEhCzpen9QzPpHLjqayqdFYJoqNhtNSWkyJaV+afx9cw+f65ywTxjRS0OEmuU6qC5yH57D7d7T/H4vG/9ZwLl9bnkUpSl0LL3931ahWq8YiahfLL1eV0+uHKiENEehR1SBZohh78Jun0IRiWZahWZUQCIPACQZhP7KGKBNeO2rUkA/30j4mwPo9IhfEim+sfR8dhiz+5MH3OdKDFn+PZSi02o0aPAdwbK5GaPO6SqvRbX3s5uri0NpvnmLVyyB7ibw2spiqjPhUYGx4Q15tfiN8HERRY42aX+QNsQ1zWFJeuqB/YH8KRQ0Wzq/ZNwzp91A/83B5qS8fVruMjb68ZC2FUtJQU8EUOh84n0LSHSx0PLb60eZeBT40pgiXQNzsvL1I9ZExpUuG2lj4/HfZ+z9lwYYNfnjW33vg37PBT6s2eAHZYArZYLvDSDUhOhoFR8T+yAZHI5HIWMkGj1LRx2xwWdl/A2s4MtwNCmVuZHN0cmVhbQplbmRvYmoKMzM1IDAgb2JqCjw8Ci9MZW5ndGggMzE0MwovRmlsdGVyIC9GbGF0ZURlY29kZQovU3VidHlwZSAvVHlwZTFDCj4+CnN0cmVhbQ0KeJy9V2lwG9d9J2SK2Niy5KRDz2RGSSYfMpN06o6uyHKVurY7TnxJjWTSkiyaN0GCpAAQxEHcu9gLeO/tAgtgcRDEffICSRGkKNGkddiREzmOFadjJ9NM0nrS6eRDP/QCD9XTB4jOtJ1+6PRD90+CSxLz3/d+73f8oWhq3tekUCiItrbvntQeOVK/P2refXHrp9un98MDj8ADzV9/tKnZ8+1vQPiHmwNKePjQ41+ptX+5dvJQ7VtPNB1SKJqJxw79UetXv/bNb33nqSMnTg0+c2LwxPGnB4+dGDz23VODJ44eGTw+eOzpo4PHTx7FP48NHj+F758+MXj8mZODR0/hP+P3njrZ1NR0aH+LYt8jzUri0QOPH3zs0JeaFLzCo/AqgAIqkEJQiAqfwq+QFAFFUBFSyE1P4PU37VN49tke+UZz+371/tGWnDJEzH+JetTwmOPA/ONfP/jtgzvPbtdqn7fCs652Y4ehY7S3f6RP3aF/w9ZuO0+fgV2w1zcYGAgMh7ThK/J42Bwxh50yHSToACd7olwExFEGxFAEySgkBoWA6Bd9PtEn+JGEgiDKJsg4mXUVHUTBOetcIhed17gNtAAq/pnwTKgYyyQziUQmUgwXpBlUAQvuGVvBWjBmdClClxpNDE0NxQfjqilVfCg5lB5KjeZ1JV3JMGdbsi6619BNcEu+kVpNrpQWKmWiUlrJrE+uT74TeBeVQNlT5stskS3QBXfGnaaSZJQOsBLj40Ue8QKHOEJgISMwkIYkcgEXJIEbUF4asB7Gy/P4iwc8ogHpt4VsoQnZGCEMEZ08imvIN4AGwQg/Rukog9Nmt9icZtpEGXkDGgeq4GhiLD6WMZQmiKJp1rJgrdgWrIvWBcuCpWKumGbHS7qiNjsypZoaCHXBCwRsObjzk50j+VbAAvxYD897OLwExksBCpDAAW3QhdyIRLTACazIi8Dn8UEflIjaY8oL5y/2XBp7U3/ReRGehZfk3lRPcrior+jnLcvkddcadwf9lNiqKoEf4ZMRRL9PEgNiEIVxRdEUnIQxIIMwCIKAR/L4ecGD4amD8yCpBO2+nuBoYDgyFjdOGtLWnCvnLLGzqAqqk9Xp5fK11RvvEttKJfTD/9ZbRjHcOw6juLPc6O3HvcUven/+pPLg4eZ/PNzs236qFe4227+jPaV5uuf7bfj6Qc9p3Wndnzh390Fit9higw6fI+yQmQQqEoebSSUoBKZi4Zgc88cRUbveUnsE/N7+S+2nmg96bra/03715eKzxWdjJ+AfY1x3X2ZawUf0B9b3LXd1m6o11WpH5Xz+9dwL0WO4+V9+TtVebPk1uC/fSb+bujF7dXVxpXwr+UHyXugT9FnjWNTbH+dagdvLsjzHM163l/I6gQVaoANRAikwAu9jfV4JhYjfKfu6u4YvGy4bL7ra4WXYLQ1E+iMjCV1WlzWV7RXbHLOE1sCGvJpeSi1Oz1zNE0u59eSd6J3IPek+JGpP3G+B8/wMU6QLrowtYZ0yRfUhXWjUP4B6wCA34h6mtOQ4qXeaKZvbSrk4BhEs4BCms8j7vH5e8kow5A3CEAzXkRdlIeQPyaFgMC5noplwPlyWiXJoJliR5qSKrwLvwdv0muO6fdFU0pY0qaFob6RbehO1EQ/+Sbl7autPW3e/2fIW7OOHaTWtI40Oo81mocykkTMgHeiYHJjWlbUrzltwFV6Vl7IL6eX56nWidl55cPv724q/bwVmYPOSHpKnOZblaI7kKc7JOz0Or91j9+ICdtgBe6XhyHBElzTlCWPOPktdpZY4rGtiK7P7FSUJaIkNs7JnCuUBdhghhOoOI+Hy+fc8hqh9uaZuAb4Gu7Hz1P8dFDC7hRiMoziIwrAXs9vbYCDmn4ClD3liV12zKX3AD3xeLCZeZEVWYBCNZUZhL9B7rCzFkjTrRsSu7YG3Bb4W7EiOJkbmbOtosm53vrAQ9oV8shhsPFHCKxGBCEWv6BU8Ak8gVmBxOxq3I+tM2uqva1y9ZW2Ff+5+0XrG+pr+jeGu4a5edZ0yba6zUAPHRL1fL40HDTFDZDxuSBkS+py+ROzuU35hDBzPeevGgH0KlwM6sHNReM20gB+HuVg3BgyFRBzef1L5P2BSVzzGJPZQlXuYCHxDlTzxoKIsFPLZQjKXzE/mIrlwLpiXsv6CWMRcueO4ob8+tjg03VXqzlyMnYv+MHAGvlLX2PMTrWCNX2OuMauuJeu8ZdZQ1KY1qUG5BxmBiTdxJtZMmZxGu9FiMBqM49qxEWJ3R7n2+mr3irZ6ZdWxhpbBgjydLifxs+cTs9HF0Epw2b+CVhrIWWq/s7eCl7l2dy/ZaxsyaU1arWnYoXb0Mx3QCC3ILthESqRFt4/D+/dgPQI/gV8kWK8AFkQE4nRCQVQHwi+I+BIwONhCAxiJiDcKpyCRhgkxHogHonJ4MjQZSPpzvpy4gDaIne/tQYmDzRcQJDEk1A3uoXnWDe4hvSQswT9A+fmzyuTh5l+1gn5G53Da7TqmH/UDXcARc8SYPLoKlgKFyVgsVgws418KTMwZcwTGkKq+4e1/3q7WTrbiQHJDt5eGtJfzsvib92Ih0bSbdpATLpPLSOopPaVjNOwV9opnFBIvw/PypcyldO+Muqqujm1Y71p+5P4I/RJ8Fv4kcy9zr7y5VF2srpU3U5up2/JdRJRAyVPkilyeztIZd4pKkAlXxB2kg7TEYFPhBE5kEYMYAa8B1nkMdB4LRzEkw9GIBKTkDDvD1shE1BzVR7QRrayWBtBpcPZKz9nus+bjcJcg4Dn/hXB3uDuuymjSmoJxxjFjX2CW0SKYk8qRciQfTU+mYonoZCQWDkshRGD6YhILXh9OOmyvDKY3hUnu3AtJ/RYm2/PUS5az5jOaNwY6+7suD53Xn9O/5HoOPg9fCbel2zJvzapWVVXt5t7+PyXAx6EPUz9Ovl+6eXVtaW19/r38ndzPop/CX8APXLdNt43XRxZ7FnpKF5M/nDobegk9Vyf1C2QrXOeuu6+5V+2L5jnTnKaAJ5BEl3wBvQl63EPWIatGbxw1jFhVZDfZxXagiwR409chdwe7JwcyI+nhkn5hojJxzX0T3oArwYVEZaqcy85mpqcW5WvhVWkdvrO3pxMPg9+DFc7h4GfrKVOPfeyPFuisGwhy4+CvHwnmNi6s762sEmzyVWaWnnaV7FlbxpwYj4yHNdIoDotee6+mR9Pd3fk68e+E8j/3Zrz0Xm8btOLeZGOoYBu9vV94x86Te8MCwoSve20Qa0fGE14cxmAEG4cMAsCPh4X6goSHgb77qHLjzkZ1s7iR34y9A38EN6mqadk8ryuo8+pEX7gz/Ja/Db1GPFjD8dCxfXr7X1uhDTOcagxc9U3zHnxhiiMWsAJdV7Pg9uGM9ZGCS3QiByKswOaxMjbW6rLaLfYJs0VvHjONGgaJB5/9P23ySWWuki1nsulseioZxRVK+ZP+pJiCQSg3jAC7iSfqkevFB7AXET48UAlexDeKgwzCmkYktDfO/q930rVXHwqd2RM6Uxe6h+U4hmEZO2V2Gh0656hzxKki++hedyd/GRIn4V9EXyr9oHiu2nH78m3Vh/q/GfuV8x/Qv4B/i/2+9Jvib67+fOO9jffurt2fuT/96eRvEbEAFj0VZoGZc0+T01TBmXVkHVNkyB1yS3iCEblGemChN+KKghQBHcAF6sMO7cXDMJ5HG8MwhyjglGxRa9QYG5sai43EBmID0U7pAiLOgQsk/vRg6Bse7lR3jrVbXp14xf0CegY8E3ohcWbq1fwb872z3dXRdeO68Tb5PiI2wTXpamwpMhcrxouTGWwBU5FYQEYN/YM65CKmglAPZBJPvw28trS1n/9Xrfyvjvr/lIWHd36iPLgj7zy1JbdCHWNxkk7SwVoR8eDvWsAlf6fcJ/fFh3LarGbGuGRftF+nb6EVsOSbC8wFyoG8nA8mg/HAZCAifmFqeD2N2XpvMMCmhj9vYGNlvQzkAK6GxTemf4LnSdZCW2iDW0Nr6GFWxaqYXk8PfA6+IrelXk93zKiq/cuajYkfT7xPfYx+TYBP5I/S2OLKN5dWF1fX5m5lbmbvRj6E9+Fd14bxbUN1dE4105/rjF+MXQi2wXPEFeXun73div524md9b/e9/Vf576FeMEhfsY/adGaz3qS3aUg1qWbVQEVs2VsONjX9B386ouMNCmVuZHN0cmVhbQplbmRvYmoKMzM2IDAgb2JqCjw8Ci9MZW5ndGggNjU3MwovRmlsdGVyIC9GbGF0ZURlY29kZQovU3VidHlwZSAvVHlwZTFDCj4+CnN0cmVhbQ0KeJzNeXlwG9eZp+BIZCt25HESeqRE62ScbFW2JjUjW7Jlj6s8k3iTWI5jW7YO66J4CgJBAiCI+2w0uhvd/brRaKBxn8TJ+xJJ3ZKtOJK9HifeJJs4k80xNTWZ2cnmr5lZkATl2q+btHxkUpXNH6mtLkqUCv3w3te/6/tas2XrXVs0Gg126NAj+4179ii/P4RaX1vVrX5jG7rnY+ierQ98fMtW5kufQ+jOL/e0o91fmPpk85/ua5bvbfr+ZMuDGs1W7O57P9Wxa/fnv/ilL//l3v1P/PVTXz/wrYOHXj55ulerN47Y3T7t4/u0+/bu1z68T/vwI49p9z20R7tX+/D+h7SP74G/Htbufewh7d79+7R7H39U+9Bj2r2Pwkcfe1T7MPxz795Htfv27NE+pvyXdt8j8KH9e7X79sNn98LPI9qH4Nd98LlH4Sv2PQ6/Pw6fegR+fwxueFj76MNbtmx58DNb/6yjrX275k+wT9y94/67Pn7Pts/v3L3rs//pYw/ee98Dn/zcpz79p1s0IQ2jYTWcBml4jaAJa0RNRCNpopqYRtbENQlNUpPSpDUZTVaT0+Q1BU1RU9KMasqaiqaqqWnqmoZmbMsXoKJb7tIwd7k/9rmth7fptg22ldt/vX3r9nc+/ubdP/zE1k9Yd/jvLd6n/eRvPnXt00KH5/53/9S4s77rJ5/598/+r92/eeCxB37xucjnjX/GPXjvjrWvrq413+1Az+GHLKcsJ4Z6evW9ulOWw+7D7heD30RdqC/cH9VGB6KGxFB8JGlPOOJeOShjwSgdD6WZBJtDoyjNJ/k4LwtRIRqWwmJEFIUIL/Iyl6ZyeA4v+RperO6b8M3j8/gydYVf4KYj4/FJuZYp50fzuXKynqxJE2gGzQQnXHV31VI2FTFTfjB/NqfLarPa/JmstqAr6YqDFeOYqW6bcs2754gL6BX0SvxSYbm0VJ+dHsNm6kujl7JXMtdjN/gxrhEaD41RdbIarBFlokCU8GQwSkXJMCUw4RBP8zQmUDyJSJ5AAeRHPhTglCvI0izJ0CE2xIRYWiDZQMQte2RH3JrELInh+GBiSNZF+viz3FDIRJhwm9/ldrn9joCNtNIWZEFaWZ81Z4dLlroDa9gn7NPuGdesa9Yz65h1TjtmbBOWurFuLA/ktLm+WBc6hqG2HWuvru0Z60A0R7MMS8MGWCoUZP2wJS/yIDfyIpwPoKBAipQQEpgIG+YiKII1t7cfe+FY93Hz8eFj/pfRC+i43FvoKQw0zNPmKdcCfjFwgbqB3sJWZtuRyIuCGA5HwtFwLCwLCSGJMnyez3NpLokSrMxGmSgTYcJKcUIohK0n2tGRSHd0SNInh9PWjDXvLONlf40ag8c3n14Ym28sLS2/hq28+1trJ4XE5toZLnFnbRGuzbXf3d6+Y/fWf9+9lVn98w7U2ur9L4bHjPu7v/7SocOHv9HzV6YnjF/2tz6GsFajzYM8YV/SK5N5VMd2b/W1o2o0l06m4plIRsCaF9ua29h/8b5jeMfwVvf1w9cPnztQf7L+ZHov+jLUtXWA7EDfC77pfN1103hde0G7fGr6xepLlaeSe3ms9ZV33c2n2v4n93b826XXihcn5pYXlhqv5N8svin/GP2D+li0qz+Cx0IwFBWCB8IAPlg3siEnPBJcwPlgmBJDYkhCMvar9v6uLt0J80nzMfww6kTdkf5Uf2Iwb6wMl+3jnhnvdHAeXURX4+eLC6W5xuRcDVuoXszfSL+aeCP6PR5rfuK7bWiSGQs2yKq/5M67s/b0sDwc04tn+B5OG9ITetwUMOMjuB13E+6AP0TwGM0BkMOMEBIBEhEmyslcjIujBMryKSEeliNxWZZjWbmcLMsVeVzGxmJT0enotDgTnhHeYl8jL3gvuuftDeO4sXg22ZPulk6gw9j6r9tbz6z8eUdrZ1s3p6X1pJ4Yxu0eu9vtIuyElRpBJnQy01831Q3zvqv8IrcQny7PlGan5y9hzcPtO1a/trrjnzuQlfMwftZPExQdooIhnPaH/LSX9TFexs3CBcA+gXojupQuYcrbqpi14p4ILBCz1AV0HVvJtDragYwSmaAToQKqoSSfFGS4JFVjIpGwKEigMVizoznchkBwBMCgFI6KkhBXEMhnhBwgMMsmuCQgUGKjIQkqFQ4JNCCwNdw0t4tchBOhbmFaoMIkqAEhEKAEfjTMOkicxoMU1LhlXve2oefkkzlDXj/pucBnuBSfEJNKfUWQPPUbJdC7MKderADfggk0T/FBIYAIhCtIWtErHNeuODrQE8Gvu55zPWs+OtCl7+zVn7CcsBzGn4OaDgtmaUQciVnS1uRI1lK05s2V4Qb2YDuiODqk6gIF0hRkYVXQBTdIFogW6AIhkLB9oO6GLkSx3dv2K6SEkoAYAymj4TgPhOczfFYosBkuyQEpuU3ChxQ1VAh/ub1Wq5arhWq+mimnyolKrCJVxGq4Kvwte8N3wXzBNK9rnB7rKr2cOph+QXoePatQ7Bl7B7rALJPL5BI+55pyT1rrhpKpcDbew9s5B2Oj7KSNsPvtXpvTarNYR4bNg1hrpX350FLPOdOi8Zx3GRA0LY8VG4XRWm6qMJGciy3KC+FFtKRS8Fdr8YkORKI7ykiGCBZHOOcCIrqgAn4eVyogkkIowkTgJxqSsdbdzUu+Se+4d2yXp+6q2or20kjWlDAlBqR+eKbb1sfaEMnRDBMCpYc1WYLBOZzzALWdAEyc9/OEAgkAhgIQVq3q1oqiPnlQH3lDfSptU2ydG+VKbBF88Cp+3jvnWHBMjFSNtaGiLqVNn4n0gBZ00r1+HX7WPWgbxqymYYvBMWTXuc/4S4EinvPmPVlX2gF0t6bMaXPSmB5sYq3xnbJZcocJIQAWFVLqPLP26Q50JbBknbNPn60dy3rCrrA97BDMvB4O9Jn1p5t72ha5OWk8MRGvZoqlUiFdluuJmjiOJpVCrq6tzjcf71B9jkRBjmRDLKVYHFSVIoJBwue3+R1eCz5CmP1GykAZyCFWj7Bn0cH4seKxUu+kblG3YL7qvOW6SbyNfoL+PvHj0pujb4xdn1+cO3d+/FrxWuFG/KaAjbF1pk41qHKwTJRxOCGe96YCMSJGREiBFmm1qCQfREAQoIcfA7o5KYIKBGmCJzhc8iX8SXfSnnakRlKmhDGhl/r4J7nnh3qe73ne9gjYBYYOSsfi3Ymu7JmiqWSo2cZ8E54Zcp6f56akRqKRqKSKqVI6n0onUomEFOUx4DkwHbgfAvsnBfB81fVVaq79YM25Yu1AXyWetn3L8ZzhSN/p/s4TuhdGDpoP4E+iv0HPxA+NvlQ8NaldOrNovOa85bxJfA/9GEM/iH83/3rh9fHr8xcXli/PvFb9TuV7yXeEH7Fv4t+23bBc0s/2zHU3jhVeyD8vP42+ovoRDmShLxDLxKJnzj5pmzRVzxZ0+S75KH+C6yF0bp3TMGI1WPRuLd4T6KJOoeMYOiGeknviXWltabCoB2t3zjiXiWv8ZW4pNp2byTYq5fHyeHY2vpxYjFwC7dzMEwprFISzNPUB1nwA4SiwwRphE+ERUN12dIU5F5wgJ/C6p+wddeQsSWvCJA3x/Vyvp8/Yb+jt7jqErYPn08razAcY6Ye1HUiRdYWRG2vT72eVte13ckJYlSQZdDoO0THL57gUuFaSjcFGJCUlgIKqOaG1vf3qt68uXa1fqV1NXRVuslcDi45z9kljdaCqy/clOpOd4iH0HLY+D65zdHXv6r90gCR4WRDdjRzHhkA3GdUmOZIHlQwTYUIkBDyMi7jg43085gabclMe0oO7vC630+GwOM12g0WHrf/dH+mQn26vTJfHipVSuZTLp+CS81JeLIbzggwqDXbOqlcoyciMHIrCnVgEkMyzPMPDEjwgGilo9iHvJp7zzW90IFwlOqEQnSGhGCEItRRJkaQvYPXavCafHi6tvyfYQ3QyxxC2H/116huNp+sHl068evJG/3eHf2r+qe+f0f9B/5b+deMXjV+c+/6Vm1e/c+v8f5/8/vhPsr/ksXlujp4lZ4NTxFgA8OIteyvuDC4TcUIiFZsFotNAdKA6kA02iCkxlg1yBFgYQFLJ1yC/HNgu54+60u6kNTOcHc4OpvvTZ5Kd0SM89hJ31H/ScmqkV6c7PdA5/JLzGecB4qvocbRf/krum/lnq0cmu6dOLwxctl2yvBq4xWPXuPPSXGohNZFp5OqZUiaXziXTUZlX+B9mRSg5bIlWNgRPz79RrxV98+/e48rv/aj/QI/dvfZG+441tLZnRexAJtrpDXj9XtrFY+u/bEMvS6fkvnhPTjdqqBgmrHPeefcF8hV+mVsIT0FuG4tV41W5EMvGstGEGBMwiC5wqAgrKLJGQ50ptc7ghiDvtHIgLgSHgk5G6WVCLMbQftpJOAkLYQgOEXqqjzxD9jBdIHHflF8svlg6Oda32H/OcM3xuuNW4AfoZxj6Ufzt4uul1xvXlWx8YepG+dXyrcRbwvfZW/hVy1Xr0uDEmam+Smfm5ewR6TA6iA21tw58u0P4heOt/it9lw5WnwTdOBsc8hrcZrvNbDd7DLge11E6Toet6KH066t7d2/b1QHA8DMUNF9gRsqOGY5lgRpAWnqTtAExIPrCPtEruAQHj5k5W8gZdBI+r9+FO4MjtClkYHWoD/ti81S7pIo9tBtqrAPB/1Cso3CS8oNjnrqdaEMUSzPshkBS8ND9HxFIQqBEJQQoRWYiSMJWE63720FbJCoR+kAs5dVYKkjQ+YYBELwEsfT+37Shv42+lryUvFSYr05UxydH5zIL6fOx63yVqzCjoTKVp1KhJBWDDiICvhSmMNhrAEIoGJNii0Dlw2sPrG3tQBbGRRIkGCQOG/9sW9mcM8lGeUgcQkPoKHnS1e/uHRkYNA2Zzlh7vN3ek+RRXsvpxIHEgGxOOLMY7iV8pId0h5SjmRP2onfU3QjOoKYnsPMCc46cC8zhk+66vW4bNacN2aGoDvWinmCfs991ZnjgrPGs4ZTlsOew+0DwbxD2FHoucix1LNGdGxjVFy01D4Ss4CQ076PiqFiUirFiIp/Mp3LZfDZbyJXymD5rKblr3mqwjibQudhcZio7URor1+1ldx2fxMfIeXQeXZXP5xZz5yrT4w1ssjFbXM4upy9Frwl1tsaW2TJdZoo01qy2JTmZjuASLriRXXHUasvfgW66Lw5O66c6cy/wg9wwbcUtuNPrcXqcuI20kCMhMzKjF7KdE/pJ3QX3azw2ydXEcmJULmQy+UwuUYxWYuVwFdVgwV/dPtKB5j3jg6P6UnfiSLjlknfaHE6Xz+t1B7xBX9BLQQ/Delkv6O3p0sCyZdnyOv4OuooWxanEtFxLFbNYKZsuyCW5GCmjspq95lePNksd6GSwx3XWpR0Z1I8MmvudXXiX7yR9FOnRkGCQjOKwZJEtMbvshguPBWMYGaXiTJKNs1lURAle5uN8jIduA0AWDkPHAz98jEvQaSIdyAdKfqyIVwMNYgyfCs3xda4qlKOjUknOJnOJZEbOy4VICdVRhSp5876sK2tNYbbUCITi4bgpMZQwJk1JY8aUshSsRWvRVfGN++rUNFpE09J0ejI9WajXq1i9Ml1YzC6mL0ZvCGW2wlZCFbpE5ekimQmmyXQwTkKfRSr+pFgAH8JAlSjFA5Aa9sCTwABYhXeKI4E0McDxEBcM4zF/1Cc7ZcwRs8dGZGvUKA7xJm6EsVM20kX4cK8/4FVAzLgAxKaoNeVKO3Oeoh8b9Zb9DbyO1wMNfMxf99e9dU/VVXSM2nOWtCllkAbQGZVNs8CnL3agA/hB28u2I0One7X9/ceNLzpesn2deAKY9Z/XT/8hXUEJuoJYAbJmMhvJQVcw0daArqDG1pgJapqcCc76Zm1ztglT1VDVl86metM90S50Uu2dvB3oKrFsn3FMj9SMBUPGkBwUhyKABtjNQ+uR5pfbrnNLken0dLKRL1fK5Xw9MZWajMyiBfVAzrV7vq8mepbgAgzJUIziqgwoKKIQdntbm/t3T0+yAra6rU1iwUVYRYDgVBtaqaoPKDIsyipWTW9YNR0KQYTC1qX1L6w83RblIgzcSYOzgaEKYKhh/L37GAKecBB2QTLqQ6bV+55eP74itUncxveJyn0g7WrLjSOfepx7Vv/HlY5IQIDWAIEgw3lCBOPl/GqrZ1dmLkgNrWEltNLKrAraPaylb/5rS9/6V9ghPLldoQ0LZwKKhSPFwpVpjR+iHhGmRXhwEooiKRyT4s2plad2tgoreyFTxVB0FwJmQTMPTX1KUBLbKF/gslwCMhv4OCdBaoMIQSvtfbO79bOdzf7mz4SwMvbaBTxUZhJCjI8LSZTic3yJy0DeUwcPjKSMHEhEMUGSaGXX/2Jnc2L96W07dred3r3tu+8nj9AHkodXRZz7A73tRvLYSOnT7WiOnSIhpQcgdflGnTkrpPRhyQCqf8ajNWohpZ/+D1J6YHNtB5TFg3z/UYBV12bUtdVEB2vbkraEWV1b6zkDa/f80TuAK0uX6pdrl1KXBTh2aDw4RlR9Zc+ou2jP2LKW9EjcPD7ZqNcr9XItX81g1VQ1UZbKUiVcEb7DXg4sQMswYaxAy5DriystwwnoqtZfa9+xIjb/N9Sf2uySmA8z3rXJ+MCHGS8Bj96Egyi5L6wMnARIfkJCGThB8stD8ktwmyNPdmPgpB5kd+uR9o0RkFMZAX3tzgioq1enjIAO4c+hYTQiWCSraI1BzeO2lLUAClYcqWDrhzeqDVyilV0yUG3uQ9XmN2hBKzMgUa327q0/f6/cUPCoGIWYopQ7xaf4LJfmZBRnYxzsMRRhBDUYK+XG2uu1WqVarJZqOahjuhavx+rRenhcmQH5L5gvDM/rGl1jnaWXUy+lX5C+tTkDgjMtf2gGVDN+ZAZkD9j8dq/V9f4MqKnOgBZMC4bFzRlQozheGK3lpwuT6gzo3J0ZEHSzrV92bJQApPlOCT4izULwwyVY6Wo3Gc0jZueIY8Rj8Y/gI0FzaIQ2s8PoWXQoearaWdVODy0bz9uu+W76vkO9gd6CyCu/nX0j80b1+tT5qeVz05cql8s3kv8NckhVyWxkmRj1l30V96izYqtZ6sPYv0GVldCnjr+hylHoAgDKgAalB1C6txinDB8jSo3fw8KDkJPXhjq6rvcs9jT66t2Z03wvpwsYHQab1ezUuwZ9Z4J9wZ5QD+pBJ8Ono93RrsSZrB7LDZSHIabZZ4hFkJiSUIiWIoV4MVVKlXLl8mixUq9OYc3VdmVshlbu7kCn6TO4LnDWM+g0OQ0Wi8k2bDM4BnwDnrMBJf13sccR1vrH3z1lT0fS4GgX2t5h3whe8V32LELzPWWs6jJ9ud5YJzqGBhlD0ESa8GGvxTfitFsdNqfZY8SxueC0f8I16ahby6aKoTCQ1qb6o32oS81sK+Ba40yNqAbLvpIz58paUkbZGO8XT4LvPbH+heazbcvcdKSarMWhhytAV1yOVWPVcA12BxFt/ecQ0ahp/5h/zFm2lKyFoczZhC5xOnJEyfXrx5tM2zzcPiY35GqqVCjnc6OpRrIuTaK5/y+HI3/owPZS+6XLF2cvVy9VoMlQpyPnfns68i1sfQ7wsGftno0zs3esJqie2fue1CmNIzAoCEJCR0Ii/ESxdWzFu23d/0c60O0325u/XLlLkiKSJO6SRPVtkvquKgGylQVCpd+zY8VWlfceKqEQBA6axELgrwTReqX1w53Nf1rXyn6JEMldygRCnaDu2L3tyu5tgbUvqdNkjuJINkgTrdztn+5kiRAFwgLiGlRtUsn2G5nDhby8D/kFQgwqkwNlvBxho1jr4Or2bXI7S7T+6+3tXJCh6BAEDwpEiQj5WR9SpvP2zduhqfzw7bFWbhW+U2ZjDMQKpVxIyfMRJUxApSBFJPikqiCFzRdocS7CYqovgoSAGYWahtvanXxQiDVPrmoFEbpPcZcoimFJvX1D5tOqzN8RoPfuhno19bd1O8NBPtYc2Lg7LO4K37lbqXYaIkxONQnljVIETCIMLIA8zyD6vZnJxvvK/+cEEN6wpI+AQj3qb4EihBjlXWF+99aZDuhHhz0+t8dAdoNWGqKelCcdrKFzaC5Wy2ay6UZsCUykQWa9Wa9kQlqV6XtWbt3fuqf1c9ofCLrpXW5qhNUpD0V9ewe2HqFEJsJFUZQHpDXva761E7oVkZZoCTJhtPXD1V/tpJNMAsmQGKORCGRDUdlwli/yRTUbKs9mU93pMAXxksSa8u3ObeG2prDaLSYjsQggWYipt0EsVN5IQUBIsXIIjJcWIBYq6A3hrR+/i+1UaHqfAlAF1CyC5kj5k2PgUl8Nt24BWBmCUcG6gbb3warU3cdD/lbRRoZheQVvMax1a/WnbBQ4E92lpG8URgInwp8K5AB0EcW4FNRsgq54J/QC6DZ8KwxyAKCL3h7aKeJCohlZHQLYRFTYQPIVlduTKkkLKkkhW3AK6BTYCBugYz6svOrLHPBxCMWsMqj0q5EUVBdgQ25EGRU26tSl2dZ+6ujx3pdNxw0v+Z5Hz4B3n6yeqp6ZNoB32695b3pV737fuifPY5PLi5ve/bpwnb2MK3368sBSF7Yyo2BQEaaIeu6N99Vw7hyEt+wHwpvIiB8c27UOrN71+xl2Z7jzfcPW/Z6Gvbq2+qMfKoMwnAmq7RPEUWhDlcin9HLrb3/Uo2ubGVR56SmpGfT9Y/yODPrub1ZOtIPgKD1fSO3c1FchYaUDU1+FbNnyfwHgPVr5DQplbmRzdHJlYW0KZW5kb2JqCnhyZWYKMCAzMzcKMDAwMDAwMDAwMCA2NTUzNSBmDQowMDAwMDAwMDE1IDAwMDAwIG4NCjAwMDAwMDA0NjYgMDAwMDAgbg0KMDAwMDAwMDUzMCAwMDAwMCBuDQowMDAwMDAwNjAxIDAwMDAwIG4NCjAwMDAwMDA2MzYgMDAwMDAgbg0KMDAwMDAwMDEzNCAwMDAwMCBuDQowMDAwMDAwNjgzIDAwMDAwIG4NCjAwMDAwMDA3OTcgMDAwMDAgbg0KMDAwMDAwMDkwNCAwMDAwMCBuDQowMDAwMDAxMDA3IDAwMDAwIG4NCjAwMDAwMDEwOTIgMDAwMDAgbg0KMDAwMDAwMTIyMyAwMDAwMCBuDQowMDAwMDAxNjQ2IDAwMDAwIG4NCjAwMDAwMDE4MDUgMDAwMDAgbg0KMDAwMDAwMTkyOSAwMDAwMCBuDQowMDAwMDAyMDUzIDAwMDAwIG4NCjAwMDAwMDIxNzcgMDAwMDAgbg0KMDAwMDAwMjMwMSAwMDAwMCBuDQowMDAwMDAyNDA4IDAwMDAwIG4NCjAwMDAwMDI1NDYgMDAwMDAgbg0KMDAwMDAwMjY3NyAwMDAwMCBuDQowMDAwMDAyODAxIDAwMDAwIG4NCjAwMDAwMDMwNDUgMDAwMDAgbg0KMDAwMDAwMzIwNiAwMDAwMCBuDQowMDAwMDAzMjUyIDAwMDAwIG4NCjAwMDAwMDMzNjEgMDAwMDAgbg0KMDAwMDAwMzQ2MSAwMDAwMCBuDQowMDAwMDA1OTkzIDAwMDAwIG4NCjAwMDAwMDYyMjAgMDAwMDAgbg0KMDAwMDAwNjQwMiAwMDAwMCBuDQowMDAwMDA2NTY2IDAwMDAwIG4NCjAwMDAwMDY2MDYgMDAwMDAgbg0KMDAwMDAwNjY0NyAwMDAwMCBuDQowMDAwMDA2NzI2IDAwMDAwIG4NCjAwMDAwMTE1MTUgMDAwMDAgbg0KMDAwMDAxMzI4MyAwMDAwMCBuDQowMDAwMDE1OTUyIDAwMDAwIG4NCjAwMDAwMTYxMDMgMDAwMDAgbg0KMDAwMDAxNjI0NyAwMDAwMCBuDQowMDAwMDE2Mzk5IDAwMDAwIG4NCjAwMDAwMTY4MzEgMDAwMDAgbg0KMDAwMDAxNzI2NCAwMDAwMCBuDQowMDAwMDE3NjY5IDAwMDAwIG4NCjAwMDAwMTgwODIgMDAwMDAgbg0KMDAwMDAxODQ0NSAwMDAwMCBuDQowMDAwMDE4ODMwIDAwMDAwIG4NCjAwMDAwMTkyMTYgMDAwMDAgbg0KMDAwMDAxOTYyNCAwMDAwMCBuDQowMDAwMDIwMDEwIDAwMDAwIG4NCjAwMDAwMjAzOTYgMDAwMDAgbg0KMDAwMDAyMDc4MiAwMDAwMCBuDQowMDAwMDIxMTg0IDAwMDAwIG4NCjAwMDAwMjE1NzAgMDAwMDAgbg0KMDAwMDAyMTk1NyAwMDAwMCBuDQowMDAwMDI5NDY2IDAwMDAwIG4NCjAwMDAwMzIzNzIgMDAwMDAgbg0KMDAwMDAzMjUzNSAwMDAwMCBuDQowMDAwMDMyNzAzIDAwMDAwIG4NCjAwMDAwMzI4ODAgMDAwMDAgbg0KMDAwMDAzMzAzNyAwMDAwMCBuDQowMDAwMDMzMTk1IDAwMDAwIG4NCjAwMDAwMzMzNTMgMDAwMDAgbg0KMDAwMDAzMzUxMSAwMDAwMCBuDQowMDAwMDM1NTQ1IDAwMDAwIG4NCjAwMDAwMzU3MzYgMDAwMDAgbg0KMDAwMDAzNTg5MyAwMDAwMCBuDQowMDAwMDM4OTEzIDAwMDAwIG4NCjAwMDAwMzkxMTQgMDAwMDAgbg0KMDAwMDAzOTI3MiAwMDAwMCBuDQowMDAwMDQyMDI4IDAwMDAwIG4NCjAwMDAwNDIyMDQgMDAwMDAgbg0KMDAwMDA0MjM2MSAwMDAwMCBuDQowMDAwMDQzOTM1IDAwMDAwIG4NCjAwMDAwNDQxNTIgMDAwMDAgbg0KMDAwMDA0NDMwOCAwMDAwMCBuDQowMDAwMDQ0OTg1IDAwMDAwIG4NCjAwMDAwNDUxNzYgMDAwMDAgbg0KMDAwMDA0NzI4NSAwMDAwMCBuDQowMDAwMDQ3NTI3IDAwMDAwIG4NCjAwMDAwNDc2ODIgMDAwMDAgbg0KMDAwMDA0Nzg0MCAwMDAwMCBuDQowMDAwMDQ3OTk3IDAwMDAwIG4NCjAwMDAwNDk2NzQgMDAwMDAgbg0KMDAwMDA0OTg5MSAwMDAwMCBuDQowMDAwMDUwMDQ4IDAwMDAwIG4NCjAwMDAwNTAyMDQgMDAwMDAgbg0KMDAwMDA1MTU4MyAwMDAwMCBuDQowMDAwMDUxODEzIDAwMDAwIG4NCjAwMDAwNTE5NzAgMDAwMDAgbg0KMDAwMDA1NDE2NiAwMDAwMCBuDQowMDAwMDU0MzcwIDAwMDAwIG4NCjAwMDAwNTQ1NTYgMDAwMDAgbg0KMDAwMDA1NDczMyAwMDAwMCBuDQowMDAwMDU0OTEzIDAwMDAwIG4NCjAwMDAwNTUwOTQgMDAwMDAgbg0KMDAwMDA1NTI3OSAwMDAwMCBuDQowMDAwMDU1NDU2IDAwMDAwIG4NCjAwMDAwNTU2NDAgMDAwMDAgbg0KMDAwMDA1NTgxNyAwMDAwMCBuDQowMDAwMDU1OTk4IDAwMDAwIG4NCjAwMDAwNTYxNTggMDAwMDAgbg0KMDAwMDA1NjMzNCAwMDAwMCBuDQowMDAwMDU2NTEzIDAwMDAwIG4NCjAwMDAwNTY2OTIgMDAwMDAgbg0KMDAwMDA1Njg2NyAwMDAwMCBuDQowMDAwMDU3MDQ3IDAwMDAwIG4NCjAwMDAwNTcyMjEgMDAwMDAgbg0KMDAwMDA1NzQwMSAwMDAwMCBuDQowMDAwMDYwNTc2IDAwMDAwIG4NCjAwMDAwNjA4MDMgMDAwMDAgbg0KMDAwMDA2MDk3OSAwMDAwMCBuDQowMDAwMDYxMTUzIDAwMDAwIG4NCjAwMDAwNjEzMzMgMDAwMDAgbg0KMDAwMDA2MTUwNyAwMDAwMCBuDQowMDAwMDYxNjU0IDAwMDAwIG4NCjAwMDAwNjE4OTcgMDAwMDAgbg0KMDAwMDA2MjI2NyAwMDAwMCBuDQowMDAwMDYyNjYwIDAwMDAwIG4NCjAwMDAwNjI5NDIgMDAwMDAgbg0KMDAwMDA2MzEzNiAwMDAwMCBuDQowMDAwMDYzMzAxIDAwMDAwIG4NCjAwMDAwNjM0NjMgMDAwMDAgbg0KMDAwMDA2MzY2MiAwMDAwMCBuDQowMDAwMDYzODk0IDAwMDAwIG4NCjAwMDAwNjQwMjggMDAwMDAgbg0KMDAwMDA2NDA4MiAwMDAwMCBuDQowMDAwMDY0MTA1IDAwMDAwIG4NCjAwMDAwNjQxMjggMDAwMDAgbg0KMDAwMDA2NDcwMCAwMDAwMCBuDQowMDAwMDY1NDQxIDAwMDAwIG4NCjAwMDAwNjU2MDAgMDAwMDAgbg0KMDAwMDA2NTc1OSAwMDAwMCBuDQowMDAwMDY2NTQxIDAwMDAwIG4NCjAwMDAwNjcyOTMgMDAwMDAgbg0KMDAwMDA2NzcyNiAwMDAwMCBuDQowMDAwMDY4MzE3IDAwMDAwIG4NCjAwMDAwNjkwOTkgMDAwMDAgbg0KMDAwMDA3MDAzMyAwMDAwMCBuDQowMDAwMDcwODUwIDAwMDAwIG4NCjAwMDAwNzEyNTEgMDAwMDAgbg0KMDAwMDA3MTc3OCAwMDAwMCBuDQowMDAwMDcyMTU0IDAwMDAwIG4NCjAwMDAwNzI3MDggMDAwMDAgbg0KMDAwMDA3MzA3OSAwMDAwMCBuDQowMDAwMTM3MDM3IDAwMDAwIG4NCjAwMDAxMzc2MDUgMDAwMDAgbg0KMDAwMDEzODA2NSAwMDAwMCBuDQowMDAwMTkyMzk3IDAwMDAwIG4NCjAwMDAyNDYzNjcgMDAwMDAgbg0KMDAwMDI3OTE1NCAwMDAwMCBuDQowMDAwMzE2MDkxIDAwMDAwIG4NCjAwMDAzMzM1MzkgMDAwMDAgbg0KMDAwMDM1MDY2NCAwMDAwMCBuDQowMDAwMzg5MTc3IDAwMDAwIG4NCjAwMDAzODkyNzYgMDAwMDAgbg0KMDAwMDM4OTM2NSAwMDAwMCBuDQowMDAwMzg5NDI2IDAwMDAwIG4NCjAwMDAzODk0ODcgMDAwMDAgbg0KMDAwMDM4OTU0OCAwMDAwMCBuDQowMDAwMzg5NjA5IDAwMDAwIG4NCjAwMDAzODk2NzAgMDAwMDAgbg0KMDAwMDM4OTczMCAwMDAwMCBuDQowMDAwMzg5NzkxIDAwMDAwIG4NCjAwMDAzODk4NTIgMDAwMDAgbg0KMDAwMDM4OTkxMyAwMDAwMCBuDQowMDAwMzg5OTczIDAwMDAwIG4NCjAwMDAzOTAwMzQgMDAwMDAgbg0KMDAwMDM5MDA5NSAwMDAwMCBuDQowMDAwMzkwMTU2IDAwMDAwIG4NCjAwMDAzOTAyMTcgMDAwMDAgbg0KMDAwMDM5MDI3OCAwMDAwMCBuDQowMDAwMzkwMzM5IDAwMDAwIG4NCjAwMDAzOTA0MDAgMDAwMDAgbg0KMDAwMDM5MDQ2MSAwMDAwMCBuDQowMDAwMzkwNTIyIDAwMDAwIG4NCjAwMDAzOTA1ODMgMDAwMDAgbg0KMDAwMDM5MDY0NCAwMDAwMCBuDQowMDAwMzkwNzA1IDAwMDAwIG4NCjAwMDAzOTA3NjMgMDAwMDAgbg0KMDAwMDM5MDgyMyAwMDAwMCBuDQowMDAwMzkwODgzIDAwMDAwIG4NCjAwMDAzOTA5NDQgMDAwMDAgbg0KMDAwMDM5MTAwNSAwMDAwMCBuDQowMDAwMzkxMDY2IDAwMDAwIG4NCjAwMDAzOTExMjcgMDAwMDAgbg0KMDAwMDM5MTE4OCAwMDAwMCBuDQowMDAwMzkxMjQ4IDAwMDAwIG4NCjAwMDAzOTEzMDggMDAwMDAgbg0KMDAwMDM5MTM2OCAwMDAwMCBuDQowMDAwMzkxNDI4IDAwMDAwIG4NCjAwMDAzOTE0ODggMDAwMDAgbg0KMDAwMDM5MTU0OCAwMDAwMCBuDQowMDAwMzkxNjA4IDAwMDAwIG4NCjAwMDAzOTE2NjggMDAwMDAgbg0KMDAwMDM5MTcyOCAwMDAwMCBuDQowMDAwMzkxNzg4IDAwMDAwIG4NCjAwMDAzOTE4NDggMDAwMDAgbg0KMDAwMDM5MTkwOCAwMDAwMCBuDQowMDAwMzkxOTY5IDAwMDAwIG4NCjAwMDAzOTIwMzAgMDAwMDAgbg0KMDAwMDM5MjA5MSAwMDAwMCBuDQowMDAwMzkyMTUyIDAwMDAwIG4NCjAwMDAzOTIyMTMgMDAwMDAgbg0KMDAwMDM5MjI3NCAwMDAwMCBuDQowMDAwMzkyMzM1IDAwMDAwIG4NCjAwMDAzOTIzOTYgMDAwMDAgbg0KMDAwMDM5MjQ1NyAwMDAwMCBuDQowMDAwMzkyNTE4IDAwMDAwIG4NCjAwMDAzOTI1NzkgMDAwMDAgbg0KMDAwMDM5MjY0MCAwMDAwMCBuDQowMDAwMzkyNzAxIDAwMDAwIG4NCjAwMDAzOTI3NjIgMDAwMDAgbg0KMDAwMDM5Mjk2OSAwMDAwMCBuDQowMDAwMzkzMTc0IDAwMDAwIG4NCjAwMDAzOTMzNzggMDAwMDAgbg0KMDAwMDM5MzU4MiAwMDAwMCBuDQowMDAwMzkzNzg2IDAwMDAwIG4NCjAwMDAzOTM5OTMgMDAwMDAgbg0KMDAwMDM5NDE5NiAwMDAwMCBuDQowMDAwMzk0NDAyIDAwMDAwIG4NCjAwMDAzOTQ2MTAgMDAwMDAgbg0KMDAwMDM5NDg0OSAwMDAwMCBuDQowMDAwMzk1MDk1IDAwMDAwIG4NCjAwMDAzOTUzNDEgMDAwMDAgbg0KMDAwMDM5NTU0NCAwMDAwMCBuDQowMDAwMzk1NTkxIDAwMDAwIG4NCjAwMDAzOTU4OTMgMDAwMDAgbg0KMDAwMDM5NjExMiAwMDAwMCBuDQowMDAwMzk2NDA3IDAwMDAwIG4NCjAwMDAzOTY2MTQgMDAwMDAgbg0KMDAwMDM5NjgyMSAwMDAwMCBuDQowMDAwMzk3MDE3IDAwMDAwIG4NCjAwMDAzOTcwNjQgMDAwMDAgbg0KMDAwMDM5NzI5OSAwMDAwMCBuDQowMDAwMzk3NjE0IDAwMDAwIG4NCjAwMDAzOTc4MzcgMDAwMDAgbg0KMDAwMDM5ODA0MCAwMDAwMCBuDQowMDAwMzk4MDg3IDAwMDAwIG4NCjAwMDAzOTgzMTAgMDAwMDAgbg0KMDAwMDM5ODYxNyAwMDAwMCBuDQowMDAwMzk4ODIwIDAwMDAwIG4NCjAwMDAzOTg4NjcgMDAwMDAgbg0KMDAwMDM5OTA4MiAwMDAwMCBuDQowMDAwMzk5MzQ5IDAwMDAwIG4NCjAwMDAzOTk1NTIgMDAwMDAgbg0KMDAwMDM5OTU5OSAwMDAwMCBuDQowMDAwMzk5ODM4IDAwMDAwIG4NCjAwMDA0MDAxMDUgMDAwMDAgbg0KMDAwMDQwMDMwOCAwMDAwMCBuDQowMDAwNDAwMzU1IDAwMDAwIG4NCjAwMDA0MDA2MzQgMDAwMDAgbg0KMDAwMDQwMDg0OSAwMDAwMCBuDQowMDAwNDAxMDUyIDAwMDAwIG4NCjAwMDA0MDEwOTkgMDAwMDAgbg0KMDAwMDQwMTMxNCAwMDAwMCBuDQowMDAwNDAxNTczIDAwMDAwIG4NCjAwMDA0MDE3NzYgMDAwMDAgbg0KMDAwMDQwMTgyMyAwMDAwMCBuDQowMDAwNDAyMDQ2IDAwMDAwIG4NCjAwMDA0MDIyNjEgMDAwMDAgbg0KMDAwMDQwMjU1MiAwMDAwMCBuDQowMDAwNDE2ODcxIDAwMDAwIG4NCjAwMDA0Mzk3MjEgMDAwMDAgbg0KMDAwMDQ0NzIzNyAwMDAwMCBuDQowMDAwNDU0NzU4IDAwMDAwIG4NCjAwMDA0NzY3OTkgMDAwMDAgbg0KMDAwMDQ4NDE3MiAwMDAwMCBuDQowMDAwNDkzOTgxIDAwMDAwIG4NCjAwMDA1MDU5MjIgMDAwMDAgbg0KMDAwMDUyMjUyNSAwMDAwMCBuDQowMDAwNTMwOTY2IDAwMDAwIG4NCjAwMDA1MzY4MzQgMDAwMDAgbg0KMDAwMDU0Mjk4NyAwMDAwMCBuDQowMDAwNTQzMDg1IDAwMDAwIG4NCjAwMDA1NDMzNTcgMDAwMDAgbg0KMDAwMDU0MzYzMSAwMDAwMCBuDQowMDAwNTQzOTA4IDAwMDAwIG4NCjAwMDA1NDQxODUgMDAwMDAgbg0KMDAwMDU0NDM0MyAwMDAwMCBuDQowMDAwNTQ0NjI2IDAwMDAwIG4NCjAwMDA1NDQ5MTcgMDAwMDAgbg0KMDAwMDU0NTE5NiAwMDAwMCBuDQowMDAwNTQ1MzczIDAwMDAwIG4NCjAwMDA1NDU3NDAgMDAwMDAgbg0KMDAwMDU0NjAyNCAwMDAwMCBuDQowMDAwNTYxNjA5IDAwMDAwIG4NCjAwMDA1NzQwMDcgMDAwMDAgbg0KMDAwMDU3NDMwNSAwMDAwMCBuDQowMDAwNTc0NTA0IDAwMDAwIG4NCjAwMDA1NzQ5MDAgMDAwMDAgbg0KMDAwMDU3NTIxNiAwMDAwMCBuDQowMDAwNTc1NTA1IDAwMDAwIG4NCjAwMDA1NzU2OTEgMDAwMDAgbg0KMDAwMDU3NTk3NSAwMDAwMCBuDQowMDAwNTc2MTU3IDAwMDAwIG4NCjAwMDA1NzY1NDIgMDAwMDAgbg0KMDAwMDU3Njg0NSAwMDAwMCBuDQowMDAwNTc3MTIxIDAwMDAwIG4NCjAwMDA1NzcyOTMgMDAwMDAgbg0KMDAwMDU3NzYyOSAwMDAwMCBuDQowMDAwNTc3ODczIDAwMDAwIG4NCjAwMDA1NzgxNzggMDAwMDAgbg0KMDAwMDU3ODM4NSAwMDAwMCBuDQowMDAwNTc4NzIzIDAwMDAwIG4NCjAwMDA1Nzg5NjkgMDAwMDAgbg0KMDAwMDU3OTMyMSAwMDAwMCBuDQowMDAwNTc5NTg2IDAwMDAwIG4NCjAwMDA1Nzk4NjIgMDAwMDAgbg0KMDAwMDU4MDAzNCAwMDAwMCBuDQowMDAwNTgwMzEwIDAwMDAwIG4NCjAwMDA1ODA0ODIgMDAwMDAgbg0KMDAwMDU4MDgwOSAwMDAwMCBuDQowMDAwNTgxMDQ0IDAwMDAwIG4NCjAwMDA1ODEzMzIgMDAwMDAgbg0KMDAwMDU4MTUxNyAwMDAwMCBuDQowMDAwNTgxNzkzIDAwMDAwIG4NCjAwMDA1ODE5NjUgMDAwMDAgbg0KMDAwMDU4MjMyOSAwMDAwMCBuDQowMDAwNTgyNjA5IDAwMDAwIG4NCjAwMDA1ODU5ODMgMDAwMDAgbg0KMDAwMDU5Mjg2MCAwMDAwMCBuDQowMDAwNTk2NzM3IDAwMDAwIG4NCjAwMDA2MDQ3NDIgMDAwMDAgbg0KMDAwMDYwODM5NyAwMDAwMCBuDQowMDAwNjEyMDU0IDAwMDAwIG4NCjAwMDA2MTk1NjggMDAwMDAgbg0KMDAwMDYyMjgwOCAwMDAwMCBuDQowMDAwNjI4MzMxIDAwMDAwIG4NCjAwMDA2MzIzNjMgMDAwMDAgbg0KMDAwMDYzNzc0OSAwMDAwMCBuDQowMDAwNjQ0MTE4IDAwMDAwIG4NCjAwMDA2NDczNTEgMDAwMDAgbg0KMDAwMDY1MDU4MiAwMDAwMCBuDQowMDAwNjU1NjEwIDAwMDAwIG4NCjAwMDA2NTkxOTAgMDAwMDAgbg0KMDAwMDY2MjQyNyAwMDAwMCBuDQp0cmFpbGVyCjw8Ci9TaXplIDMzNwovUm9vdCAxIDAgUgovSW5mbyA2IDAgUgovSUQgWzw4Njk2NzdGQzY1QUQ1QUZFNUFGQjVGRDZEQzcwOUNCNz4gPDg2OTY3N0ZDNjVBRDVBRkU1QUZCNUZENkRDNzA5Q0I3Pl0KL3JnaWQgKFBCOjMzMzMxMjg2OF9BUzo3NzA4OTMyNjEzMzY1NzdAMTU2MDgwNjY4NDkwNSkKL2hhYmliaS12ZXJzaW9uICgxMC4xMzMuMCkKL2NvbXVuaXR5LXZlcnNpb24gKHYzMzIuNC4wKQovd29ya2VyLXZlcnNpb24gKDEwLjEzMi4xKQovZGQgKDE1OTQxNjc4OTY2MTkpCj4+CnN0YXJ0eHJlZgo2NjkwOTQKJSVFT0YK

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

!! This is the collaboration wiki for development of OntoRisk Manager

[img width=200 [SRMS Collaboration.jpg]]
[img width=200 [SRMS Rope Walker.jpg]]


[[Change log]]

[[Contents]]

! How to use
* in [[Development process]]
* defining concepts and their relation
* for controlled vocabulary in a [[Semantic OntoRisk FI Glossary]]

[[Tools]]

[[https://colab.research.google.com/drive/191PX5RcvJK0tvWimSwORgZcseGM4HxJx?usp=sharing]]

[[https://colab.research.google.com/drive/191PX5RcvJK0tvWimSwORgZcseGM4HxJx?usp=sharing]]

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n
0000087113 00000 n
0000087166 00000 n
0000087219 00000 n
0000087272 00000 n
0000087325 00000 n
0000087378 00000 n
0000087431 00000 n
0000087484 00000 n
0000087537 00000 n
0000087590 00000 n
0000087643 00000 n
0000087696 00000 n
0000087749 00000 n
0000087802 00000 n
0000087855 00000 n
0000087908 00000 n
0000087961 00000 n
0000088014 00000 n
0000088068 00000 n
0000088122 00000 n
0000088425 00000 n
0000088819 00000 n
0000088963 00000 n
0000089107 00000 n
0000089251 00000 n
0000089395 00000 n
0000089539 00000 n
0000089683 00000 n
0000089827 00000 n
0000089971 00000 n
0000090115 00000 n
0000090259 00000 n
0000090403 00000 n
0000090547 00000 n
0000090691 00000 n
0000090835 00000 n
0000090979 00000 n
0000091123 00000 n
0000091267 00000 n
0000091411 00000 n
0000091555 00000 n
0000091699 00000 n
0000091843 00000 n
0000091987 00000 n
0000092131 00000 n
0000092275 00000 n
0000092419 00000 n
0000092563 00000 n
0000092707 00000 n
0000092851 00000 n
0000092995 00000 n
0000093139 00000 n
0000093283 00000 n
0000093427 00000 n
0000093571 00000 n
0000093715 00000 n
0000093859 00000 n
0000094003 00000 n
0000094147 00000 n
0000094291 00000 n
0000094435 00000 n
0000094579 00000 n
0000094723 00000 n
0000094867 00000 n
0000095011 00000 n
0000095155 00000 n
0000095299 00000 n
0000095442 00000 n
0000095583 00000 n
0000103736 00000 n
0000103790 00000 n
0000103844 00000 n
0000103898 00000 n
0000103952 00000 n
0000104006 00000 n
0000104060 00000 n
0000104114 00000 n
0000104168 00000 n
0000104222 00000 n
0000104276 00000 n
0000104330 00000 n
0000104384 00000 n
0000104438 00000 n
0000104492 00000 n
0000104546 00000 n
0000104600 00000 n
0000104654 00000 n
0000104708 00000 n
0000104762 00000 n
0000104816 00000 n
0000104870 00000 n
0000104924 00000 n
0000104978 00000 n
0000105032 00000 n
0000105086 00000 n
0000105140 00000 n
0000105194 00000 n
0000105248 00000 n
0000105302 00000 n
0000105356 00000 n
0000105410 00000 n
0000105464 00000 n
0000105518 00000 n
0000105572 00000 n
0000105626 00000 n
0000105680 00000 n
0000105734 00000 n
0000105788 00000 n
0000105842 00000 n
0000105896 00000 n
0000105950 00000 n
0000106004 00000 n
0000106058 00000 n
0000106112 00000 n
0000106166 00000 n
0000106220 00000 n
0000106274 00000 n
0000106553 00000 n
0000106619 00000 n
0000106763 00000 n
0000106906 00000 n
0000107050 00000 n
0000107194 00000 n
0000107337 00000 n
0000107481 00000 n
0000108559 00000 n
0000108613 00000 n
0000108667 00000 n
0000108721 00000 n
0000108775 00000 n
0000108829 00000 n
0000108883 00000 n
0000109159 00000 n
0000114167 00000 n
0000114475 00000 n
0000114501 00000 n
0000119461 00000 n
0000119738 00000 n
0000123982 00000 n
0000124260 00000 n
0000129700 00000 n
0000129965 00000 n
0000136534 00000 n
0000136799 00000 n
0000143071 00000 n
0000143323 00000 n
0000146730 00000 n
0000147008 00000 n
0000152601 00000 n
0000152854 00000 n
0000157646 00000 n
0000157924 00000 n
0000164202 00000 n
0000164480 00000 n
0000169525 00000 n
0000169790 00000 n
0000173402 00000 n
0000179992 00000 n
0000180233 00000 n
0000180428 00000 n
0000180713 00000 n
0000180965 00000 n
0000186939 00000 n
0000187191 00000 n
0000194259 00000 n
0000194511 00000 n
0000196369 00000 n
0000196647 00000 n
0000199034 00000 n
0000199287 00000 n
0000204097 00000 n
0000204376 00000 n
0000210488 00000 n
0000210754 00000 n
0000217099 00000 n
0000217408 00000 n
0000217434 00000 n
0000223879 00000 n
0000224132 00000 n
0000228873 00000 n
0000229194 00000 n
0000229236 00000 n
0000235277 00000 n
0000235597 00000 n
0000235623 00000 n
0000241109 00000 n
0000241387 00000 n
0000245958 00000 n
0000246236 00000 n
0000251911 00000 n
0000252201 00000 n
0000258967 00000 n
0000271961 00000 n
0000272213 00000 n
0000272403 00000 n
0000272688 00000 n
0000272928 00000 n
0000273621 00000 n
0000273900 00000 n
0000281079 00000 n
0000281358 00000 n
0000285836 00000 n
0000286127 00000 n
0000289862 00000 n
0000290141 00000 n
0000295221 00000 n
0000295499 00000 n
0000300612 00000 n
0000300891 00000 n
0000305351 00000 n
0000305654 00000 n
0000312009 00000 n
0000312299 00000 n
0000318848 00000 n
0000319150 00000 n
0000326086 00000 n
0000326388 00000 n
0000332680 00000 n
0000332933 00000 n
0000339411 00000 n
0000339651 00000 n
0000341255 00000 n
0000341557 00000 n
0000347219 00000 n
0000347521 00000 n
0000354161 00000 n
0000354451 00000 n
0000360978 00000 n
0000361255 00000 n
0000368230 00000 n
0000368520 00000 n
0000374540 00000 n
0000374830 00000 n
0000381161 00000 n
0000381439 00000 n
0000387882 00000 n
0000388215 00000 n
0000388241 00000 n
0000394670 00000 n
0000394948 00000 n
0000401519 00000 n
0000401809 00000 n
0000407792 00000 n
0000408070 00000 n
0000414639 00000 n
0000414929 00000 n
0000421321 00000 n
0000421599 00000 n
0000428141 00000 n
0000428431 00000 n
0000435733 00000 n
0000436024 00000 n
0000442037 00000 n
0000442318 00000 n
0000448371 00000 n
0000448636 00000 n
0000454400 00000 n
0000454653 00000 n
0000461222 00000 n
0000461475 00000 n
0000467231 00000 n
0000467484 00000 n
0000470937 00000 n
0000471190 00000 n
0000476481 00000 n
0000476721 00000 n
0000477797 00000 n
0000478065 00000 n
0000478091 00000 n
0000479526 00000 n
0000479846 00000 n
0000479928 00000 n
0000485282 00000 n
0000485577 00000 n
0000485603 00000 n
0000488338 00000 n
0000488603 00000 n
0000489132 00000 n
0000489378 00000 n
0000489423 00000 n
0000490077 00000 n
0000537243 00000 n
0000537499 00000 n
0000538021 00000 n
0000551158 00000 n
0000551517 00000 n
0000551803 00000 n
0000551945 00000 n
0000552140 00000 n
0000552404 00000 n
0000552638 00000 n
0000553098 00000 n
0000553361 00000 n
0000553524 00000 n
0000553657 00000 n
0000553744 00000 n
0000554038 00000 n
0000554269 00000 n
0000561353 00000 n
0000561544 00000 n
0000561686 00000 n
0000561846 00000 n
0000561933 00000 n
0000562099 00000 n
0000562263 00000 n
0000562429 00000 n
0000562485 00000 n
0000562538 00000 n
0000562594 00000 n
0000562674 00000 n
0000562840 00000 n
0000562977 00000 n
0000563143 00000 n
0000563228 00000 n
0000563389 00000 n
0000563448 00000 n
0000563483 00000 n
0000563566 00000 n
0000563642 00000 n
0000563720 00000 n
0000563755 00000 n
0000563920 00000 n
0000564086 00000 n
0000564251 00000 n
0000564411 00000 n
0000564577 00000 n
0000564737 00000 n
0000564903 00000 n
0000565067 00000 n
0000565145 00000 n
0000565223 00000 n
0000565301 00000 n
0000565336 00000 n
0000565502 00000 n
0000565559 00000 n
0000565706 00000 n
0000565834 00000 n
0000565979 00000 n
0000566120 00000 n
0000566296 00000 n
0000566500 00000 n
0000566689 00000 n
0000566850 00000 n
0000567011 00000 n
0000567160 00000 n
0000567332 00000 n
0000567458 00000 n
0000567632 00000 n
0000567834 00000 n
0000567952 00000 n
0000568074 00000 n
0000568305 00000 n
0000568513 00000 n
0000568720 00000 n
0000568916 00000 n
0000569017 00000 n
0000569209 00000 n
0000569411 00000 n
0000569555 00000 n
0000569749 00000 n
0000569899 00000 n
0000570045 00000 n
0000570206 00000 n
0000570411 00000 n
0000570578 00000 n
0000570719 00000 n
0000570890 00000 n
0000571059 00000 n
0000571156 00000 n
0000571335 00000 n
0000571591 00000 n
0000571748 00000 n
0000571996 00000 n
0000572119 00000 n
0000572325 00000 n
0000572410 00000 n
0000572622 00000 n
0000572757 00000 n
0000572975 00000 n
0000573129 00000 n
0000573285 00000 n
0000573428 00000 n
0000573571 00000 n
0000573708 00000 n
0000573914 00000 n
0000574107 00000 n
0000574262 00000 n
0000574437 00000 n
0000574594 00000 n
0000574738 00000 n
0000574906 00000 n
0000575058 00000 n
0000575186 00000 n
0000575302 00000 n
0000575478 00000 n
0000575606 00000 n
0000575722 00000 n
0000575892 00000 n
0000576020 00000 n
0000576136 00000 n
0000576298 00000 n
0000576426 00000 n
0000576542 00000 n
0000576679 00000 n
0000576844 00000 n
0000576981 00000 n
0000577146 00000 n
0000577287 00000 n
0000577452 00000 n
0000577593 00000 n
0000577758 00000 n
0000577886 00000 n
0000578002 00000 n
0000578139 00000 n
0000578304 00000 n
0000578466 00000 n
0000578594 00000 n
0000578751 00000 n
0000578942 00000 n
0000579093 00000 n
0000579240 00000 n
0000579346 00000 n
0000579468 00000 n
0000579617 00000 n
0000579728 00000 n
0000579843 00000 n
0000580000 00000 n
0000583665 00000 n
0000585016 00000 n
0000586152 00000 n
0000587272 00000 n
0000588382 00000 n
0000589675 00000 n
0000591146 00000 n
0000592427 00000 n
0000593750 00000 n
0000595246 00000 n
0000596743 00000 n
0000597933 00000 n
0000599632 00000 n
0000601216 00000 n
0000602643 00000 n
0000603888 00000 n
0000607283 00000 n
0000608563 00000 n
0000610022 00000 n
0000611301 00000 n
0000613062 00000 n
0000614099 00000 n
0000615315 00000 n
0000616551 00000 n
0000617940 00000 n
0000619096 00000 n
0000620736 00000 n
0000622479 00000 n
0000623920 00000 n
0000625078 00000 n
0000626231 00000 n
0000627407 00000 n
0000628568 00000 n
0000629734 00000 n
0000630431 00000 n
0000630468 00000 n
0000630493 00000 n
0000630596 00000 n
0000630733 00000 n
0000630875 00000 n
0000631017 00000 n
0000631159 00000 n
0000631301 00000 n
0000631443 00000 n
0000631585 00000 n
0000635572 00000 n
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
0000000000 65535 f
trailer
<</Size 3981>>
startxref
116
%%EOF


! Identity Credential System Models (Chapter 6)
[[file:///Users/andreasgehrmann/Downloads/TiddlyWikiRecovery.html#An%20Ontology%20of%20Identity%20Credentials%20Part%201-.pdf]]

The Actor Plane describes the most significant actors and relationships in the domain of identity credential systems. The actors named in this plane perform the mainstream actions that justify the existence of the identity credential system.


The Issuing Authority issues credentials and updates credential status after issuance. A credential is issued to the Subject of the credential, who takes physical possession of it. The Subject presents a credential to a relying party for examination in the course of a transaction between the Subject and Relying Party. The Relying Party validates the credential through a Validation Service that returns the status of the credential as updated by the Issuing Authority, and the Relying Party uses the information that was validated. The Relying Party will forward information about the transaction to one or more Transaction Intermediaries. The Subject, Relying Party, and Transaction Intermediaries may engage in dispute resolution through a Judicial Authority.


Many less frequent relationships are not shown here. For example, any party may act as a Relying Party to the extent that they use an identity credential. A Judicial Authority will likely use services of the Issuing Authority and/or Validation Services during dispute resolution.


[img[Actor plane.png]]

[img[Issuance plane.png]]

[img[Maintenance plane.png]]

[img[Transaction plane.png]]

[img[Life Event Plane.png]]


[[https://www.nist.gov/publications/ontology-identity-credentials-part-1-background-and-formulation]]

[[An Ontology of Identity Credentials Part 1-.pdf]]

[[https://docs.google.com/document/d/1SEYzYJDNDWU4H-JnltiPwS0dK0OlDMdTa1jild7cHfQ/edit?usp=sharing]]

[[https://www.researchgate.net/publication/221550506_An_ontology_of_trust_-_Formal_semantics_and_transitivity]]

[[An_ontology_of_trust_-_Formal_semantics_and_transi.pdf]]

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L09sZF9Eb21pbmlvbl9Vbml2ZXJzaXR5P2VucmljaElkPXJncmVxLTkwZDFjODE0OTU0NTkzODNkN2U4Y2VjZmM5N2EyYWVjLVhYWCZlbnJpY2hTb3VyY2U9WTI5MlpYSlFZV2RsT3pJeU1UVTFNRFV3Tmp0QlV6bzVPVFEwTnpFeU9ERTVPVEUzTUVBeE5EQXdOekl4TkRVeE5EQTEmZWw9MV94XzYmX2VzYz1wdWJsaWNhdGlvbkNvdmVyUGRmKQo+Pgo+PgplbmRvYmoKMzggMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9GIDQKL0JvcmRlciBbMCAwIDBdCi9SZWN0IFs2Ni4yNTgzNDcgNTY4LjYzODE4IDEwOS4zMjYyNzEgNTgyLjU1MjM3XQovQSA8PAovVHlwZSAvQWN0aW9uCi9TIC9VUkkKL1VSSSAoaHR0cHM6Ly93d3cucmVzZWFyY2hnYXRlLm5ldC9wcm9maWxlL0ppbmd3ZWlfSHVhbmcyP2VucmljaElkPXJncmVxLTkwZDFjODE0OTU0NTkzODNkN2U4Y2VjZmM5N2EyYWVjLVhYWCZlbnJpY2hTb3VyY2U9WTI5MlpYSlFZV2RsT3pJeU1UVTFNRFV3Tmp0QlV6bzVPVFEwTnpFeU9ERTVPVEUzTUVBeE5EQXdOekl4TkRVeE5EQTEmZWw9MV94XzcmX2VzYz1wdWJsaWNhdGlvbkNvdmVyUGRmKQo+Pgo+PgplbmRvYmoKMzkgMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9GIDQKL0JvcmRlciBbMCAwIDBdCi9SZWN0IFsyOTcuNDk5OTcgNTk1LjE0MTQ4IDMxNy4zNzc1IDYxOC4zMzE5MV0KL0EgPDwKL1R5cGUgL0FjdGlvbgovUyAvVVJJCi9VUkkgKGh0dHBzOi8vd3d3LnJlc2VhcmNoZ2F0ZS5uZXQvcHJvZmlsZS9NYXJrX0ZveDU/ZW5yaWNoSWQ9cmdyZXEtOTBkMWM4MTQ5NTQ1OTM4M2Q3ZThjZWNmYzk3YTJhZWMtWFhYJmVucmljaFNvdXJjZT1ZMjkyWlhKUVlXZGxPekl5TVRVMU1EVXdOanRCVXpvNU9UUTBOekV5T0RFNU9URTNNRUF4TkRBd056SXhORFV4TkRBMSZlbD0xX3hfNCZfZXNjPXB1YmxpY2F0aW9uQ292ZXJQZGYpCj4+Cj4+CmVuZG9iago0MCAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0YgNAovQm9yZGVyIFswIDAgMF0KL1JlY3QgWzMyNC4wMDMzMyA2MDkuNzE4MzIgMzczLjAzNDQ4IDYxOC4zMzE5MV0KL0EgPDwKL1R5cGUgL0FjdGlvbgovUyAvVVJJCi9VUkkgKGh0dHBzOi8vd3d3LnJlc2VhcmNoZ2F0ZS5uZXQvcHJvZmlsZS9NYXJrX0ZveDU/ZW5yaWNoSWQ9cmdyZXEtOTBkMWM4MTQ5NTQ1OTM4M2Q3ZThjZWNmYzk3YTJhZWMtWFhYJmVucmljaFNvdXJjZT1ZMjkyWlhKUVlXZGxPekl5TVRVMU1EVXdOanRCVXpvNU9UUTBOekV5T0RFNU9URTNNRUF4TkRBd056SXhORFV4TkRBMSZlbD0xX3hfNSZfZXNjPXB1YmxpY2F0aW9uQ292ZXJQZGYpCj4+Cj4+CmVuZG9iago0MSAwIG9iago8PAovVHlwZSAvQW5ub3QKL1N1YnR5cGUgL0xpbmsKL0YgNAovQm9yZGVyIFswIDAgMF0KL1JlY3QgWzMyNC4wMDMzMyA1OTkuMTE3IDM4MS42NDgxIDYwNy43MzA1OV0KL0EgPDwKL1R5cGUgL0FjdGlvbgovUyAvVVJJCi9VUkkgKGh0dHBzOi8vd3d3LnJlc2VhcmNoZ2F0ZS5uZXQvaW5zdGl0dXRpb24vVW5pdmVyc2l0eV9vZl9Ub3JvbnRvP2VucmljaElkPXJncmVxLTkwZDFjODE0OTU0NTkzODNkN2U4Y2VjZmM5N2EyYWVjLVhYWCZlbnJpY2hTb3VyY2U9WTI5MlpYSlFZV2RsT3pJeU1UVTFNRFV3Tmp0QlV6bzVPVFEwTnpFeU9ERTVPVEUzTUVBeE5EQXdOekl4TkRVeE5EQTEmZWw9MV94XzYmX2VzYz1wdWJsaWNhdGlvbkNvdmVyUGRmKQo+Pgo+PgplbmRvYmoKNDIgMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9GIDQKL0JvcmRlciBbMCAwIDBdCi9SZWN0IFszMjQuMDAzMzMgNTY4LjYzODE4IDM2Ny4wNzEyNiA1ODIuNTUyMzddCi9BIDw8Ci9UeXBlIC9BY3Rpb24KL1MgL1VSSQovVVJJIChodHRwczovL3d3dy5yZXNlYXJjaGdhdGUubmV0L3Byb2ZpbGUvTWFya19Gb3g1P2VucmljaElkPXJncmVxLTkwZDFjODE0OTU0NTkzODNkN2U4Y2VjZmM5N2EyYWVjLVhYWCZlbnJpY2hTb3VyY2U9WTI5MlpYSlFZV2RsT3pJeU1UVTFNRFV3Tmp0QlV6bzVPVFEwTnpFeU9ERTVPVEUzTUVBeE5EQXdOekl4TkRVeE5EQTEmZWw9MV94XzcmX2VzYz1wdWJsaWNhdGlvbkNvdmVyUGRmKQo+Pgo+PgplbmRvYmoKNDMgMCBvYmoKPDwKL1R5cGUgL0Fubm90Ci9TdWJ0eXBlIC9MaW5rCi9GIDQKL0JvcmRlciBbMCAwIDBdCi9SZWN0IFsxNzUuNTg0NjMgMjkuMjk1MjI3IDIyNS4yNzgzOCAzOC41NzEzNV0KL0EgPDwKL1R5cGUgL0FjdGlvbgovUyAvVVJJCi9VUkkgKGh0dHBzOi8vd3d3LnJlc2VhcmNoZ2F0ZS5uZXQvcHJvZmlsZS9NYXJrX0ZveDU/ZW5yaWNoSWQ9cmdyZXEtOTBkMWM4MTQ5NTQ1OTM4M2Q3ZThjZWNmYzk3YTJhZWMtWFhYJmVucmljaFNvdXJjZT1ZMjkyWlhKUVlXZGxPekl5TVRVMU1EVXdOanRCVXpvNU9UUTBOekV5T0RFNU9URTNNRUF4TkRBd056SXhORFV4TkRBMSZlbD0xX3hfMTAmX2VzYz1wdWJsaWNhdGlvbkNvdmVyUGRmKQo+Pgo+PgplbmRvYmoKNDQgMCBvYmoKPDwKL0xlbmd0aCA3NDQ3Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeJztXduOHDlyfe+vqOcFnJu8k4BhoKXR7LPtAdbvbc8aRmsNr/8f8DnBICOyqnXZ0WJ2YGhGLVWeYvIS9wgys4+Yhvx3O/H/PxzusufzGGWMenv5+PQ/T/w+5jaOUGu5pXKmI4cz3v7yH09//N3tz2gRj1bPVnOVvq5X6CLc+P+//OE2P/zlT0+//0O6/el/pec++i3EOtjdz09Hv80/aL0/44bKKXQOzg7YMudxD50yIO6cH3Dbu5+efv9jvo3bTz9jFrLQcENfIbTbTx+f/vE8Uz/P/Dx/zoJ/B34+4CNx/JTn+VmuiWf8pHkdwrxHvh//dPvpv57qOPBtbAlD/fTvNwyQK7+83iBYmoPt6+fZLv+ggzTtnD9tdt6Os/UQy+6cDfM7nVmYq+BA0uk7uSnmo4waRrjctHvXEdeS94gkSdNOP5AU0lnux8ihj/KwPE+bvaRJkziOmEs97abwIxvJlx9+ejpigKgduYCjR00hC/MfwE+xM1EeUyuOqULDoT/KII4Z8vwp79fPXFU7YofERptg2kQvB4TzzI6hSuP8LN+HeJSaRoUoXmgy726Ye6ujuNu7UnyOHdKRemk5xjuS6u2l9DJSv4wus0s2gwJtjSH3bCyetyeobM+l2bryZ9kb61FyHHV8lr1CxaY/+D48609x/75b3P2EUpZbPB+0snRlYMxzbidXGudniiw/5x/13+fJxNVGlClpu6WVVUWd0z7nv3Fon0UE9cx59in3VtV6xde4+b2Sos5267vcrmPue+q8Z90rJNRrFToKfkgp3fzfFPwHcJGs3sIDybCORbJuHFLVD+MYIYZzXGV3SmY/6qixO7sgX6YtDBAriP3I5Sr6pE0qS/RrCam2O9ktl4FEw2/zjyi2/jF9vltWSBToRDtny+Ow7d38N/5oJlQk2fQt1SOEHqpThQ/zJpHWci+dRxI6u785xQfQ5toeOBDK4gCYnMCB+GFZONWPMlVWPvNnqJ5khz3ffTfu7vHfs/8PawVvzivkcdAk2uRqnvSr+fM3lnSM651pCZaxFEYLNg24s0tdLc6Zwxjemj0bNUihCD6ksGXoy9LRHygO7prMk9ppmrtwwtrGi4OMdVr440weTkNvxLpS4hq/YK4gpPFhHn0Jp3Dk/S9aj4Qxe0EJxInPnLaK0189L+nPJtZ0cuNvaHNS6K77T8cvSyFjGa1WU0hxxhcpfGsUuq07AYxmgcoU4xSOEXsLzoi9uwtsnr84xQKx4bSuU3SjhHB0rLW0/ulhvi5+wlCwWpf5fi5+UhIivskx9Uc7LI2Curqso085TPlIIZRoN62wT3zbBzX179dCbWRPudIdyTWiieh4pFQvs5F1WtwSEEiEXkpul1Yr3nUxbYzHeRe7qD+WG/ppwfOWmX9GyoFQGlEfvugqM3YdajlqLr1BOTJMVQkB80AeolnH7/+t3X74b+nlC4nLpzRZO/qE+0Kgm8cS3rhC/cWqlVs4gUlxx3IIsENLPZqkeYHN43wI7/vRQ8qtPfBZen7WGKSt+C7Gs5132YkyPi6heGfcqUdP1/izqrgNlabNpRXr59qay3+KDzn6+RjNyjy7UWb1lCH1PearJ5HA7a82igmxTOjN8+Ub0o87fqeAKF18pvWe3mnugJxEBt5r+LBZ3UCpU+7bpHr/oB4B8hDgK+Nn1OMXqAVs0NHwufy6aoHkwsVKQov3qgpjRaxIPy4EU70xPXEp1NKtJTnRm24z0hoeNMjfNRdbAlwudPxaqYKIgKBnTW5dfzuxirSMuYJx1vvfSaxEJNDiQMAHOUod0VSPcC1xoJ8a6w1QLSf9mhWFEEfCFMwE47zZ1bWnCAuJaUCq0KYHOP2j9pom+T1g8gUbU+Av8kkDAVG6fXxK51Fgp8ZwKGKDwnwsEItNalspYr64vr08zY+YQcmsfN1e2UmYnw2FeQ0wxlCXMPuCRUS+w0/IUkqr6AmWKiISRocdi4rnMc51LxuQ1vUW09HOzNaRsbN8j09SdGOnSBnZMvU1igCZozPF5I0Tawf86rwrwKiBDsfg1LBiNGdjfjTwheFLHpK4Ohi6wJQAGKUp3uqR5dag1y+ImYOM0xVhqOVbwK+O9f1MjHmXoSTU/PQKg8L6CMtXEVfo+czSUzsSlfYyYUhXzHeYWwIntmBERjJwkE43inGSsMgGor1TrshUcD0mqf2UwXcozpQGQyEuXIH0ya4GR0LfFWE7Lvocq9FyueuXJ3wMHkEoImmY9QGGZRGBNmXSXfupYPWlRDfnV6Y6kCauqsgcYTdFKqpbvcM2nTirharcSmdVmJ+JJSF3a3Vd8OYmo0zgheHd6FNToG4xU+gjvoFKnGHJ9unVBuILBRBqUBnqwQDSdPVBpV+e/pNZZuxdpg1Rb7M6/ZHUSDJ4dzCWMDW2CTiV1y01MDO8rL5ROUVehADrbppPlbmoVuMCYhUjyOAGvtCeZulzQRiQ4jCYntD6LoAcBmFADr3uWzpgC1tQvV6reosCJE0usKdVbZvao49PSPqHcMqhyOczzY0It94D+6viAAapTr88AU1cGkvqa6zXpxIPtQLI5NRwIYsJI+r9qUJD2voE7TyPxjXvL031YCGTkNSrYz1i1xk4FDOY0n/BYqhO5iGNtdAAl3L0vK9feT3URCYwQEa8YJyWA7YdfnG3hibaYeuHyQPZayl6gfluHQ1ii9TJGCcNwzJbp/k3CFQW4+eNk/HtLQ6T8zQCk7yYdgY9PvppwA2fNFiLBd7AFASCMisHvlBmdBYOLlAxWnz4mjlXBdTjgEz7epCUcHnUpbjmxDSX+0l9AS+P837FYiqsQZyOyYlxy0ebptZQxm7nFB3YHlVAw9Dl4qChOlDN2+EW+gMHKL1enhwEyZuW/1brXH4jaaK4n3Jr59wp6x7EqBA0TuvaFuLSJlg1tAgEBwmebggflU0ya/F60aGvT43OvkrbRsvLa6lic5rLfwMcYXYIXS/LS7ZKk6yGrNFvYOmYJi165DKE2W1KMlKDMwUV7CqyMEKQtfMKMjKkWRBLjYCoic+nWDMU0CvI9gwd1jWmkGUpjVokc5SQD8HBmL5wA8KDdIqzWG3QHXVFTI/KU4WuxtmI4bHcB+Ndpt2a0CshlaAExuKuc1lZ9DTZe3NthjoUdhaX/kP2JC5i0tSvIvqW2FI3BzrnhNtFnJG8HOppDIYcTtMenV1GigRlFIHxhplw6OneMiN+3wZ7m2YOpkGCmt8B4zKi2ecRZmSzTXbvM7aKzj4b5u2zQ7d9vmC0zwBKEbnb9jmcdUe6y0YTU06Ykb6CnJxHnJl2sNppRw1wDZzIuW1D3Rl1NDXUHdnHNM9mqA3bhtogM9S2WOPkW0ynMKCtytc21G4a0/AYL5zxHSzSpAdDTc6KDbk0DifSGPqO6qy1A7fFvmJDSIuQojZnpTlED96Qvzwug3Yb6eei70XSEQb2mq5wACeZF1lOFSAEnWTMFFy9ATOEACEtFJuw4dcLLMFj4C5lGFeKB9ilkypw1cmQzkdfEijnJFR2mWGA8RIuFw5Ta14dGAwTPaqG3xhOlNbDSNWmIEtgLg7UIYy51Ng7WM0p+wtcVBI1UvF04E4qX54cDC+QdXmkisbeHJilCZqXPBUgwAHVs09vgG+pXKfmJFWEDXSFn1g9lBngScJKPM4QEr10EYEQ8nYY5ok4yhJG6Mw5tTVQ2LtHuAZuFInW+JYQjOUb21H9NWU2LKY6uBxzPoBordXDB8hqCzK9jYQdf0zkRRahhnm1CtPogz95SsBCIAbbV2+sLW0hQUO6MwxvKonkNSCIOhl0wfTpozAoBnH1inF2iepZxeqr6jgw6RL0WlModsTUMjbWvSdVjRgbnCxIUfTKt807Yr2Aqq8ETYoBT9EBvZrptppDaJnkuA7Ja91zeJVICxPIpZKuVLin1cwM23LoyJtBPahspDgWy6zDEnEgrU0FzWmWhKoDmXXvOM237cunri4Z1S4Tw9vsGjZAY2uIYgaNpu4ADkXyy0wvuiyD+mc/LCvIGpsbmJwdM5hmPiYbK5OIhaqZd2DKumQjNaBcdaimI2ZfJsBQLgN+lWrfrq2h4JTHelHwkrdZqTNAkdAtIG1S+YexSEL4zPmVPBWpEA+UHBkeysRq3TRGGF/lY5qqwoo1+pZrrvAkFSpNlSTQRomyK1JXCoVp8zFhkijCLQaSPjC2W+723JG0lTdErHq3JH0DlhSwxzBtNiguqlJuG2rC8HUJq33OVORl32VctZ48+0/6Zq1iqcGidMsM05KoF68BF+G7KIa4akT6kqJ7P40MS3TbWyukESI07K/NKYTGsm6dseTZl9435pt1VkBZVcGwjQFoddE1h0hLbSWQa+Ho3cLQUGc5c31dw164BXIGys7V8skGwzpoHMrdjVVSYziIZUtO7ZiJKWn0tdqUGQhVLR7T7VQK8iU143ojhDhcUjOHWtxFykxqmgMlmEE78bVpp6lCMpFJkVolGdVJEu9wnGpPZcFpLqZMhWmzXCfVo5xVXze4I1iHgVNRgxRkOGoYPfPvhUSsbE/MyNTEIh6eBF3msHNvMPr6JuJb2oxwqYIGBLkh+0ppGNzQ3v0MuJGsJnV+vkj0gNaO6Gwp+tuloaUhawxTpIV4I6oY/XJfbET3avGcFAywL14ik9GEWz6GiaeGkR6OSEOKVE40p1MAPjiMsG4UyFuCBe35s/PJMFc4QcDOs1ZmBAZoGvO9DdjoLFzjLqjOIjdHYkDrmRSRYMLtXtgWz3ZX4I7nWFPSrliJ1d0U/eznwfbTymzeIVE7pr3bS9JR3MIVcYxbGKODVqWfCTgPwDXsWhxJICGy6g9SKsivBBi3JVB0J6e6tSUYzPVPrZ8sUHcopjNBNiQqfKMMRtGBCI5EIZ/oC2ig1TjR8glBdUTHJZ/p7VZY5r7xE+snM6HnFWIdrW2+SLuLs+iXOKHXYwr8UoFedMkmHqq/F+EwnaZ3iCyZRMmDaDM+ApD9rQXEHA6LojQPRBRV59ZZX5WBjZ2yy/W6AYsiY+Zmluyf6RYBPTY3zFyFIeYZ5MVpzF8NkJ0HXleZMK9b2f3yIzHVa5m2OC7DuAPRRRWtGSPP7vtChNptm2Nd7snQDZ59bV+8So+ZgmmLYjFpBsqRt+ol6SJbhet6+9PZq+RgLpXUka2yS0bV7ABuJBbZY7E2iDc0JAjb/GwMFqj0uQG5IL+9ECWCgzyu7Q0ZcXjkRabaM32Za5dPkf4xcymp+5wz5KKjnTWUojKim5oLJD+jeBGYj7VVR4i7T30royDcolzbZ+wMmTs3IjWmFNZU7srtvSHux7IYvhEunYe1faOgqgj8XNtHE0LTMXmmQBKJnsRihLl15KpD9JyxQC64UXAJuyLilt7ixfMihGBu5XecGchMR+uKI7Fqen+pjThU99WYe/RLGhrh24NovDOojQvol1bwyYxVXUkkMoZbGdCuiDjUFUQ4CpXEiXCVEskqhexLVwdZmBZBZKbVFUAW4IofCrnCB9csxeGbjHJKChOm4Y+MgKRkhF7zDDSt4BGRh5Bxl2oHwTTzm1nqiKWsWMwSIXYcriFCLCy5tGs4wDXmKfWuZdVNplnlsEtf5HCo1jiIWIkjMiZ0V3FSctU2OGtG8bvcEZH+XSobCvjCxoJ2XYNEow90cvKGZE+J171HK2mQRhJ4LJNeLG3QaoHDkk56Xmoxg10MmmzzIrpsV8gghWmOfaMy0+07bKqVr2EQ7ZL1WAmDmKSnq4LhAFfA4LDi8nb1gkxgeSHYku+IIpTqbW5rXG0DYmd4zqttQKQihmesxD0icpY6h1h9kXAg59xp10AIgoL7FuGhVePU/IN8bbMy3/uxN3AVQ1+IKaYn9S3FxnKVubnLtdOzACferzKpeK8KF9iynlfr4i3Q4iNiScXjikbS9uR5B6kdUT07BFk4Fhi/6OEFZrinWIAS4vIjC7xMFLerSXkbhhycNT2gfe0Oc07c77pw8w2+y4YuYuIpJF4eUvCF7MTkROy6bRbNY4fxvG7iE53U8FtFPP9Yp9zsnaJE7z+lRHbpeaIkaXczReeDVW3lINKGO1lLM9ZO/sYuO/mG2k6+x2QnnwCjCNspSjwP4Xbyec1g3baIHDKnrZduc2hhujNki6dtO/uy0rKDj+Rouj3aRqQJcFXn5SzGxnZabZDbwd9rc0x7g7GT4eexD4DpDr5NY24MGen9kaCzz8/XjaHEklu/HCZKLAvPPGUXJwzbe0IXaAg1ZwlCJ0YRkV3evYl/P3XmED//To8Ifu450dufn9z508Ht38i47+OGywCcqMKsyEg9qZ7A4HDghiL30GGiRw9QdPjowE1+qaMg2IQ3T7fBs9Nno0NHMNMhWBEY3X2XsmmDIGZMfTCVyWVuqnUmCugKKL07zI6kVgiFUwHG2uFZsmSIyGc7MYbyI2haiUXAdSEHQ4DEE1NgZEGHhCT0kAOBCFBKS9lhjCrpLPq1JbkFogfXIcNQbmq7cSNuGK3H4SbIIDRjZL8QpjcpgYyXJUvkHPmEqhGHoTnCXNrQScTQJT2D3SlG7rQSNFwkxxi4v0MOqm7+LSQ4TvPe1U7qj6Mx1t/dQW5g4MLwA3cEx63UlWHqFDvLD4OBoS1lQPgRmY69aIwy4CPDOe9W8sgGOUsxjBcmGRMhbrCXETa5I0GmcC1PZi3GAOZpgS65w+JgOOWU9RABWMxeYJelb7lwbU1+XK8maZcZmFC62Zr02qqcnLv1O43YlHKasynqdExp37RWu9Rxs8nr7ebnmzpOo/dHORIMt9gjwoA2DznbpT+b7ujmzqaPeTZdjiI3ZD0NzZ3qiOidlcVDiD+WBZ346ufTv/6o9hdOuJ+IDPbTgD/6x2zmqWuwJvJ0tjuarWe2Q+oMfq5Py+iTi/GH0x5ztN7saLbRg3kd+By/kR5f/YzYl+kB8dOz6+uRWX0GSB7DXU91LTrdPQSVnh3+bh/ifyTVfsAkIYe5nPBfj9pwtA9Xun3zew386uvdU+myeHgofVCOCcJm26fINSBzPNVv952/7CHJgLA3Jnko3vpKStD1ACYf95EHKOt6cgckb90eTfslD0neLakirrlfE9PP+XP3DOAdAStP015vDe9IxvPx6df7cbucrpX9pm8lJZMOPjpqPf2qT52eD4+cQE5S/yw9H9+3wZM9BXHo0PNo3CefB59haxkech9HnnI85xmykvpZioCwV2KWscyQQ8sCZuS2VU8l1SFnc0DyHPUUEXwIYxWCp5xOkHNpacAzA5wf5e75PUvbY95V5FwSe5LNfOk9TpBjcvtjzJlk7UDmFwTmrKu05UraHIs3R/0ke2n6+VX21cIQt6sNK/cezyi7U7s7mtKW58kgNzQrEaUhDvPTBKh1UbcgloDqWUu+rL3y+H2II3syySFIZA3NE5RgL12pTDKsDnKFTx+eTQQ5fvEMBTg5Pu+akvD65BoDEFL0m+uWIMmR/BQIkhxBO9PpEiY55nJ1YQTXVu6mQWamWVmsnURUehHmbZPgSlmCHCB5LgjY0UA7UI4RzvKiE8dXAcc8gpvkqszDcPr59clJi2uscpUu3aoM1rym0FUEVVzXbKcIqmC7dZkOXGhg+uLotfTK0dU0cPIg7XOBqq2OX6bXjrPbCDAi+/nrsrZIh5taZIleDp4hMWa9yuATYRyW35KUgR0MYrTB/KDJElhmB00QUUn0DBMNdWaKauDLU+ahGkQ6wcOvgMEk/BU9nHlypGLtfrALuCbGfjdsy3i9wEiwxkh8PMwGC9xJCQzq3MQMfHlyyzCYdNhLNtiTcg/2Jn0tYv50BGKfP/GGJbgOBCeBRaggO/iyi3dOvXef+O3rbidnRqRwNfY9y1MM8xQtpj6tMrREngCkZULGl6b9RgKrJkg+qp6wQVZ7h9tmW+lKQDXUYZvpoEYaEW6gz1PdLiF0HVK7kQMS7dTJ7SFpXaAOZfjpETQLqQsRiqh93NZxN6QOcQ5q4GeXee5vs/Jiw4u68qMOr1MVxcZtYobWckhutUpmk9QiKVGkiRHOdWNEvgxpDHHTM9a5hSiPX762gvN1mcMnXt8FaQxTGr/HId/jkO9xyPc4ZBuff/3K1wk8ZLjoIbk3xMhrc/b7qeardORtTO806WLK+/z1FQBWrHlco/QEhbpUrBWGM7GKNWuRNdFDuYq1HFxIhaVkX7LmkZWeSGhXs2YptEe+OckVrbkj20KM/Vq15kZpQZfZl6259302Flxc3Vo2jTOdgy9ccxc9xhNyswvNwArPQITmqmp8+ByuI7dyqV0H7hRmDBsubelNa6+XTkdFKEXj4YfndscIpV4q7OmsEBoaB7cm7krF1sJ1+dym4DnD6kmV5uHb3FwNGyAf+M1SrrYidkgxHEneTuOYlbincdYLVxW7CIDcv5ta6dN1akVSNwFXzPaTtdqrW5YVaY0CvpxrxHKVXyOrrxEbC64FZWOXrz4bZ32h2sTgUtV2MnNpvaXr0vOUxBjv57HF9jLrLeFugU4bPDGc5hjdnI4ZhVUfheyuvO101zjnlNx4/JZBeChv53Ipb+fi7/tEeRvJxq5vh8RcI4gq/KYK3LkPV+CWt7FUe6fUfo/PWK/myhBT9yY+KdQW93Kp9d6hd+s1V6Fd3uWlr98q8Gv0Ju4VUT9c7bin2G+qBC4UsxL4YzlbtqrFVf6Ccvb5qTfdJKp2rOP6otjdK+gjNu3yZbKX8NAMwWW7GnvJv2LpXIhmNV++wo5vPayfr/mWk+rGDO+ba77l5DH0v3v1vMjJs2vt+SuL53Az8qpgTwx5DyBmHqB+8krKL+xHFGYU30xKPkYLn5R+G/VzxM9H/xJFH4spkMidts7PM23l5xmoW5Ij3yc59LWzIWIzX/M5q6CSrlmORWxma5aMEZN43adtsIjydXIJHjF2k1wmSGxmaj5pJIqp1e7yS2JcQtUkNI+ws1V5/Yxmq/jMQH5/y2tG+64rQjMv8IMSnSmETY8YM43ollF4LrPSubv1EmT6khxhipzVHNVn/YLxhcqXHJUokqfuKwmCjaF572QesZWhzs8zQ7W2lsZYn5bv2Og+PbV5WhZl67Fkyxbu8zIjkaVwRkrLTI3oPjHd3LH80RhoiSYZvLLSrN+Q2SYU1taEx/pcYuYzUhNHS0hNbG0xJt9+2aYJRiDTGCOk6ZbPRk0LjTmmrcZE0+y/oiaOcINH1HOt16K4x31V/IqvSjVQvkY386kuK2oD5cM4zIh8XZxv8kQUG8MF5xOWPGDXY7nU0YHWo52xX0rjV9Rq4x73xfELvgvWfkSrbfv5+fq4W46vj/u1u048XW3AN6n9NyyRQya1RM5PszAOVXSfZl12tWOJXD5PfyD3LG8wtjeYhWWR99F8fVzUYsS78niex3RDcmVtYrObJCoWtDg+rXFQW8x67rwWCxAQRLs+xFLIKz/9aGJTTmZSNi/Btj2c404yqDXctnC1s2qy9WdlZxvZV6htjlbMtlWQvGqKzBCpGVKC4tpoZX0YVf1om/w2LeOSTX9x89cthn+PKr5HFd+jiv//UcUvq3AjQ/umCvejv+OvvZHtA740rH/hV+bcJ04sYsXgX2od7MW86zdGVB4oJdG+vrKwCkFl/SqcXRep4Lx743rJNuZ6L3vBeDNR9++6fXi5+ZvvaJ8Z5vodFzafasc1WVPK1b+bfL8L/f1az4loJOV8uX8PogUvN2W+YzZdjy/WeSbSvx99va6bryAJ+XQvpv9wzcS/8RXDfE4qZZ5+MN7+Jsp6XyuWiXXVPLcf9gruX2i/flfNfoV0PR9/K8j63RrprijSH9Ug79/WcPc7BtarpLO+df1cVPEyMVmb6+HFVu7Q31CQry+k5pMtxVfrLoKyKor+bdh9/QKAiqA83zEqPqqcLyA+/NqEYfyiw2At56Js0pFTSa6L5cX0eQG/+51VRnbGXv8HzF9vDg0KZW5kc3RyZWFtCmVuZG9iago0NSAwIG9iago8PAovTGVuZ3RoIDY3Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KSIkq5NV3yzVQcMnnDeQt5DVUMABCQwUjS3M9M2MLAwMDUwUTUz0zIMvU2FwhOZdX3z3YQCG9GKTLEKILIMAA09IONw0KZW5kc3RyZWFtCmVuZG9iago0NiAwIG9iago8PAovTGVuZ3RoIDE0MjcKL0ZpbHRlciAvRmxhdGVEZWNvZGUKL0JpdHNQZXJDb21wb25lbnQgOAovQ29sb3JTcGFjZSBbL0luZGV4ZWQgL0RldmljZVJHQiAyNTUgMTA0IDAgUl0KL1dpZHRoIDc0Ci9IZWlnaHQgMTA1Cj4+CnN0cmVhbQ0KSInsl42R2zoMhNkP+mE/6Af9uJ1gv6XvJEeyrXuZeZmM6TinHwsCFsBiebt91mf9xWtWZo2RQ98+mn00R/aNwZr9N3SpPzW4Gf3to5qjtpZGzH4+ksduOeZNx33t/lBhKfsNfalN3PpI96IyztyrcTGeev2Tf29V49TIxhTWv91TkpW7mC/tjJVkpYlMbh7ps1DynMLM+cJc18foehhFPdxydzMrdLl09/HeaZA/u7f3KTqGEUXVPdykzhV1dSU/t6MfyZQqu//VFnU3QJsXVrc2dbWEf7jK2Qu1sY73mFRfb59KLfcqc22qK+oJBG/l639adTsuh9kIZPR/Zw9mdIuQz+ajhlEf8tuYxrYRZAae66tTVd6V4J+qLaKRS84fEvCH4jtxXjzdr41JT7XrczF3/FYKzxeNGTIh8u7q1XmmYmqArtRyeqgwORoPGZbRthj60ynJBn16JnRH/geEGCkpzuq27KwQvV6kV2zD1xCCk6Z5rBM9NZzwrY77og5z1wjlgEw0vxSnKkZzcQSTMZh30/gJ0fD8c11tyjD1ADCsMTz5QkZdsE1MLk2zcpBkBnPCrVdgS5NTfnnSmehXqHL6fIsTPuFHMfuTl1INW0DnBptjRwoTXUczTZZEr9DkTCNOYfAuJkzXAS8rXW9sN84LQgUvS46+4i5Puq9JgxI/FVKYm0WK+nlsceJ2J76rA5fkUNfMwD65G3Rwir37m7LwJunV7ZyDnj4nKkmDlAuqqYA01eNSkrvqwnygMpnkMtFzQZJVp1Qs/Z10zDBmXaZbnDp0+TRdA6SooUyZ44dJA63qV+awSBBSIxcReOMYjSK6oBzdE9Ct4hUXq+9C4qQCWUvflFAc9UDKdBX1fQ+OIkDZppyXSFG4MS2QfUiFzZ0l6VmVimraCoIiVCWLl9bIECbFqCAxQZlSe+8gs15XtD9gv3hG73NelOypWKDETlhdI41ANFn1rw0BsMTYufHNk2ecUCXuo6bwSF2cngcBq7iDTYUhhNTP4Uu77cYhI+9OYIaE1c2lkEwow7Vtp4KdNDRX/1m+BS1/H/tvwdWAQHbm7tUu7kH9XfUU1KIDXIyqlO6jY0ZA754ed3JExpufhJ3wUm0jpbWvUqPGbrYIhVh94BYIJA1OdbdIxcoHJUN8SiuFwb9WJm+vtR8UFLl4if75qqUAPTWwRLaxylz5vMQqSKFaDIC6q/Kcjo78BaPvXhSeXKEBDDMjj+xd5S53iEPJg1pMLkL4GZL11VPLQG49M5AIPZSB6MWuCasdPyVTDKmTri79TLxlHlcoBJiLVBkOk9G9nXzl3E0rTQqr1MxtXy8wWeimZ7XH2JcO3NW4SyDMUaYFhOeEaIr9o5QA3en+hcI0yseJVLvbPjiuh6n8eM41YdivOTVMJxbldJdocJlJ45LMhhtgi5iLnDLyj3XcgWgVm2QB9elD3w/XA4q7s/b4qaNIMc9o5iEjsYu3+enidsT8AEG4QqxJLZWvySKIRPG3D5Mdjcp/bXF+jPvTB62tn/ikoJAr3iepY9gpKMR9dM8ZpMzZiGup5iW2aeqLlbnEzp0FrOe0LOsuWFKAh1r44VolNCIpUJCmJnFJOiHOSjugOdkp2iWikpbSFNtNzpRW9SRDfsEZdKjOmjQmGg9177uWhQyFraXCKY0gflj4pnLBvzRnCg804jQxmRAnnfxtCelVYSWg8aCOr/B4l0/3zY+FD9J5uR27GVxschsdYSVPCBGk6qKm634uf7O2x+ljRUeXsZtCPbBTsPoTwJvkDUTu6f5o5hIwST4lMRzqZMOw+SEdDVLq+g7qYTeCOrS2YsguDlYSd7nrDY5aapLr/hwX4Xs4FfgcMOJayRbKfkEkCVZsPuISP33WZ/3TKy/Ojs96tn4NAFGURwgNCmVuZHN0cmVhbQplbmRvYmoKNDcgMCBvYmoKPDwKL0xlbmd0aCAxOTgxNQovU3VidHlwZSAvRm9ybQovRmlsdGVyIC9GbGF0ZURlY29kZQovTWF0cml4IFsxLjAgMC4wIDAuMCAxLjAgMC4wIDAuMF0KL1Jlc291cmNlcyAxMDUgMCBSCi9UeXBlIC9YT2JqZWN0Ci9CQm94IFswIDAgNTk1LjI3NiA4NDEuODldCi9Gb3JtVHlwZSAxCj4+CnN0cmVhbQ0KeNqlvduWI8lxJfoeX5HnrWat6pDfL9LDnGZLlDgzFGfEmsUHUg+oTFRlilVAEkBWqfT1x3bkLcyQQGz0oZao7KXe8HB3c3Mzc7Ntf7v6P1d/u/rNhytfxx6jc/7Kyf+8/lNxY8nNuXxVcxlz7S5dffh69Xe/9aP8a1cfPl29+3nz364+/MfwTx/O/U7rY07NFfM77/6wOWy/bD//wE9cmZ8Y9E/4GseQfCzmJ7af3gLr8Qff8+hzTt2APyxjr4JLY6l1Bh0A3T3sDww6xTHHVr0Z+S8xOGLhQm5j6qklA//tdvd19YVYthhk2Uprdtn+uP662hzurvfE6iX8mbOv5jdWmxtiBVJOYws5ebOAzNqnksaY6tH0d6vN/u5w9+3u8OO/Da+/4vGZL7/y8k8+h7HGLn9Vn8fQiwuPUhxepPh/3G0+f2d+qsXR15Kq/ql367v5bJ7/9cGARQrlMPVswP/ysNp8nuH72ItM38Vp8Jd/GrxvY3uch8hkk6MA9D9tDuvdMvrKpzB2yNIzetqFewqaMQd87nzgu/36CTucw5Y6ptywYjPs7+Sj35zyYNDQHL7kotDUN3dseirDHLg63G03BDiICHqXvF7p/7X6uN3NhOQkWlY61d70lFeH7Y6Yccjyd8pmk39QG1xEW0PsSpdjU/OE/L+bu28MuJQxhiKyOQevd3t9xM6tdustNAVXuvnkhF0ce60+KegHZpecnIfSelUT3u62cquQB6IlHKcip7p7qJbhXSbPg8/Nlxny6t3/FB0iaj0zh6LK0K7Wqn5gf2roYX4g3Jhz610hf9l++bL+vCZ0yKNkx6Dx/7Zd3TDzDmEsj4aB3MYpx4HdKh/qmINv+Rl5vFVn1yvnMZaWkoK/Z9ZLTJjuqpzFOfIP/8p8c21jCcH1YQ79ff4jJZp+bDXXqIaN/9zeM/ojFDF1ctCz/WW1Wd2smGsmOrlcJrkWXeJcfbpm/mO6466W7rjBZ9HYXq4ng1/f/b/ruy/jw+HohJ36pRBl172cFvNL4/VqGX0VWxFMmF/bk7z9frUj0MmVsZba7GX715m4ncR6GVmMJov949vjDgorBldzsSaDHZlvlp0T1V/9oLG/pbB1jF2sdTPulrBqkhipcrq6MZDe/SehvmNKY+3hxTbIT1jSLBnkWMsBDdnAKbskVrEUXXflFTxoy+QsusvhEuk0I7+YJsN5eJKlSnJhVoNnLvkkllxptdhFI+2TARvmcvXR4B8tlOWpJ1n0FEPrgx2fg7eM216M8Tl8oKyUKFdfcVH+Om2lDKe3LIyh9l7fslLeHHuwy96yj4GwUuyUg/wdnW/DpVZKivB/cEDesFKWLwOcjyZaMKoLOzMnU06Hl/+0c1bK2aPZm6hQ1zgjZT5l0b3ZT1N+RA4XGSlXj+JdYjo2UogFS23MLTp9e35gFizLv19Ta6eNlLPL1byY0D5VzkiZDyw3XSuuK7OKslGSnL9cRaSv3rZRhrMiXUUwzWwnE4U4SeJS+94iaaEYuyAWaA2ElbRd8HX/6VITY4outHr0U5yJIRsufpqLgg55rA6/OEUG4mt86zd//PBvPxO/5cXkK2J3df1b736Zi57cdaXI/6tM4Nd/mn2Il/s0PQUo0stnfLi9m2T/1A+IlvDi7ZYy/wF1WBVyeP2nKo5fi6JZFfJ+dU98dvejWA2ul2GOVff+Kag4IWOT/+pq2E/b3dez84QLkkNIUcFUKGwGHTS0y6Urm6Ogj4Gbk8NFuXCyy0FN8L+Y+UVZVzO79cysOIlLYgOKVMfljRwsUoyKLmaJQh5u18tfO8D9F1MIup4Rn/mopY815/CCnIR+/ZWBisLMoRazlzMDaDgJFclzTswYPVdmpnIJ5xa8v0QKutykqUQ92vV+dhudgor7KEckZL0pyuQ4tZ8hyPLE2LQMHXYPxLZMrlcSh9lfukBX4nmOpfYY1IbqWO9JbEGcPeIKnIvR4eHmjhD9IGalLzmbQ8PI/kx/yo0YRLH4C6S/utH5mjFljZ7izGdFQ3wIH31rM+jArnQXD9X1o1HNgGamvYsFHHNvBvVtQYTFJCu9pjyYKTLn1Mv6hIjbXmF/EPKPmLVcisluDHUCoLG9uGnpaF8e9oeROexZlHBxOOzqB/6wYaYtnorLcPDM1jIyJcqtwVVxduJ/mllmp/VNGXvLzi74+uN7Rm94ubPETrMScs+oDV/HkkKpduTt/Rfm/IuvI5KSo1myNaV3oO7q0aRfNc+5JUPYvIn5Zye9JwwDWSy5ct3Rkdp+Yi6UUJOYwmKXGPR3Zs6I5vYp1KbWa7VbX2Q0ZlFDLbjnFfu83hDqtorpWgMCIBp+YBRuEzPMVTkiBny7IpZMLu/eUogG+43TmbJgNbdXLC1hMDl7b6XZCW+ZM+kzYpnOTviOsTxFCboCf1ZjKS0kBq9owNYG89EUdvLDozfjrner6wOjvJMcqiBGrIZ/v2N0N9yxKJaTXexbRm+LbLqcYzHgv8QQ9riVP693+7/gbZs5oEEOaIpHO/eBUmhO1EqqxYjb7R0FbngHLHbb94w+EyssBTyoaezXc7f8EEQleB+OjvTqr5TxFsYYuu/2aDFugNgkiG0didrhOU9ioHVZk1/K/fnLCVGT7xYfNPtisNe7h2tinwa4IS0W6DI9NnPl9TCm3NP8w6dV+yRHbEs5wl48hIY7QI++ZXQ4/NMuLmM04BM2ynB8vlPoyYD/xHx1bqOoF/EONHb9caRMqzyKadS7Gnl495vVfskTi6O4NuFoq9/eK2sZySWbxLCyE/5ydszgqmhvuZzNVH8wx0JujSKn0o44eXGE9xg9wnvNnooDM9mI1/FshfqONMVScNlMmNIDCTHjWOwGranpIsnHeSiRy6dbxEmprdqVXn1c2F2x8mMVpTn8inUS06/jEFzZhSLmWtuYSykWe7u+ucjfzXXKvHjbd7RKFt6QyJTMVaEYO6SksbSAJys74vJcS5VD21y1X7shZlqh3Evx0WAPj0YMYWwinNFCKhctVRfvLYUcZsMOr1p5UaX7UUyY1M2QHyk7U85AlvvMYNcHymFGLk2CRlfg74zNJaZOrIggm4HX1JSTuKzO9W7WizJTsxuDGBD19FefDgSKTJfgjsRjS0S+vch0ii01O2MuOiCnFlmR5iwdFi6wilTY4u1cGRtpSj4M8SJBHnzLeGpudkDKqkMgooh7XM2uktFAj8zZ1O3evER4zxrAsNqz73ZzfjAOPaL2PiSrq7YbJhoYxCoKqf4qqUC+bvCx+V9xDELxotR9iOf39+jeS3J75PyWPC0OWEU0PFxLZonN9ZXHKr5lO1riL8zl18QhRpiYGPj0zSd2f4pVVM5j4GHPRXpL60jN1GgianElF3YLItPpFTs8OqWxbBZuEzwN5nw07IHQcHJ/BSfeazHYNaPhnCxvhD2loJR+E6u3iHFTB419oF52gmj0iBftOXh4uQDPY0VhiVrvdr475jqIZWzJ4zpQ4LfDzXa1UhXZmmJLCnxzR11i4rBXMTPMeu3W19QdKKakqI2azIodTJ3BuSeqFGMMV3Z4Rte6PHpEQA2YeVUNk5z0aLGrwx0Vb25jSt3K9nZD+RriHcmSdXMeydjM9C5X7V7fc8EZ0fJZvBUDHpn1EoMlFOQOa+y/bEmNncVhz0bIvpMRmh6RDmTO1TdKYSPztx6Dd+8v09moJKjlWUYoA76U0TWfcjfo8yq3tLGkPBmVz6iBeCeryPzsuTUz2OGOC4oH0T0uGTBjaw09jF1sdyyXAnMeh5zgWsUeNbMl36rCdD81+93UWxXchhCa/ew1ExePCfGnYHeWuiZSGHOvUXxZhd2t//awYIIX5P2HbGcrqnKgzH48QHRmutY7q5OqDMFgN4x3hgcXMSA6JZdvvEVW51K30kGBe8Jy+XZixucfMuXv1Io3WOpVziF0NkXA9YwpRSledKvi4A1v6YwlLKKipaejbSL0pHgtoedU7UcjWsFEsRKeAV05wjN3qbjRXcwQu9jU5ZDlYqk1WG1JrVdxo4/yC/abb5mrtMod3gAxWk801+6yqwXvxz4/m6mbT6uv5zV9h83TRX8oIDPj5nGcQoxm0C9nU9eabK1cSd5fUSOqw4AEUTlMIRnsinlh6KghFR8xmqmSzxMOtU5mroMs8F9JYz7I33alNlvKmE8o4fMW/H1DGfPIVq2IligwF9wRN76LNZ3NilGWuFwvWbynerTNZ/MaSx5dzc5uMGV34LlUNF61YMruQJmTaCwY8ApMveM0FNlEWNHP2Elt/EyZ784JuBW7QyvKY0EpbHMWe7/bfqVS67rcaTm9eRJPuwxi+boOj1ih9kswsUTd9Dqpj8BnJiVOlGJtKL3W4N36SLkN1lHw1bUjibj5wdwkoqoEHI+EcXtZVkrEK356MUUZ1YpjkOXopVc0/WYupyClCHWhoCITH5nXwekl1+HqVvD114XEOlHr0bdBo95TRnsXyUAus5nrlkys8y4Eb8DXlMIQM6VOEA1mXrwHqOVSfbQLtVlT6jFV0VWIuSvp+E5p5TgWPz1pqoG3u78y4iHnYcpvyAb+E+OpPEf7DfYjFXV8UpPNotc3lP0txrvYhcmeJ0SGGDELQZYtTPkvanQqJTcU0SMt2i/fUA/QaXRpegVT2O9UDF7uBheDPRpcbCe1Ue4k782KXVOGMHz4jNCOHpiwV6Yn6FarXayfCXMlII0+JdcM9sDm3shHGxVEJYpPSdel5aIV7sAN3PqUaVpOKGvScA9Igky9TtjfvCdDQr1HRGk0mAnj5+nqDzPswCfWI5Rfu6CSGfpAaKCeRS4jEqk1lnGHEcoXCyTaKf9C3TR4ics9lIEa+EQGt8ZSlxTUh9gi1WB/Zu6oiCr4Hi12qWBHDEOBJjPTDRnE93IjT5pjhh7eUem4yHhEKYDdoWvG1UEKspu8FS1VX84/7orWyLk5K1A/qBeHOpZY0hvH4MCZ76LefTr65F+Ya0WcylKLN1Auu73ATAsXSQVCOvKtqf4K+Q/iwraScI0p7G59vT7v0yGYE8MUDFLI8yHoYbL5RfDt6iiOoNN3kJz0XoLZVerqK2JotKOvfX2LGRYeCMQ+O7EvC5G+J3fDTvjmp0vcjSEjUhHjE3i9W8r8qkCKAS2HRyMJxYaU0TzpNQVdHZgsnR4nOzQdjUvcPnjly7mayXJPBAGhyaNhD0wGl3cgDChIRFTg7Wak3I0ihrvrduifKW9DPNnumt2ljRy/PRnKCSn0ZpZsv9pxWnIigdEbPby73lLRkTo+ZsDrL79ZyOhwDmk+b20UYTg7PC+mo+WiXpGgJvHnDDw8VeWSxT+IMgb73U+G1WKoQ9wzl4++nEr+RPgaYQODFdefquBxY2sB7plGrz6vLlNBYgDLvRYu2LAr0H3JgKJ25+CB27CK6sMK1i498nkBQ+qOE7mMBsW8QyGI3T1WSGP3Wy5Xvnbva3kF07dTx4NOh8q9ZKryr6YkjnsyKC7QgbrHivpks05coOOJLCuZyVKRjiD2ShAXRQ+83f2ViXMkpMymYHeIcTKQ+uby0cALNjcMFhFCK/+sem7VFfu1h9sVVaFU++QVdQs/4czZiwm8oE0E2sIpTQuHzPl2JB1rsjAABU7ZSMcNZ5LWsdYUjz6bKWSbMl9id/YgfWQsNbFom+vVDrwmIyuxVnB2mK1aLLJGsmHq4H49UrBM6or4dBFBCg3+xtwrDT6oyKidL1N39hrhSIiTeOSy0pk+r3HwFzCtPRAHF3OrmHHX3whHtMkFWKrL0YJ37wn5EMu2lobcWY1eyI4EU4bscRk0ak/WdIqLlb0Z8TFvjotQONlX+8UHsjy9ZJfs2BBo5noBX6dokPzmYi1XZiIua8VjKfscPIoBpSZ6yG9kQWcPLVcrGRS9SBqPD8J/J9PsZY/m8jhN9E+4H5jguaxT7yWf2N7zb4ygminOHoUf92QRfsVThVksirsjRDjiR3J1OonVWOGpt/kRHFQhJpEJEn0NdtZPJelLRnxFPaJcEb/iOIVa5MtzfuM4/XSZuhWfrWb3rEUWaqJEqnvMMJeeYXxuFFhzYkYqmR7zG/Na6Ua5wmsLBsskzuHJHqTi0WCpuoyhV3F3BG7RlGUKwrGUizfLdUu+dyaHx2w97g8mQOoTeE+qN9j/zqSCgI+rI2aosR8oGie8CovbMWjs7ZqMCYNSLjo95YEkeEB4tzW84uvBueyZJgfClWRX7HC73u4WIpCujmL6dLtRXCW4F5UL2lwjISvyqbIGX6xkchQgESwLk+ZS4K+UYZtBOHR0oKhcw+wQ3SrFiMjN+gtbdd/suFwFKeJEssMG+2n7sLmshhR0oGIVvKYfEC9wYpG7yblV2E9UQpo4baDyL+UVTVdJoVi2TLw6emTmSHQvhmYrtRis2GvfKRoPj2fHaofm+O6CeOUltkFj5TTu12R9pcsNulMt2d/I+kpU8njz3Q/r/YFJAoAa6r6Uapd8Q/nY4kPJvIMVlQVLFSaAC9mb9dqQtTCl5tjsNlN8bXks4j3ZPZ6ICc9GbQOin7jNzZiM1kMGXq3ZzJVlXGotBSvSX5m5IoU+y84eHYfNejcyCQ/g8o2ottI/8PvtKVNzOKGAMqhI+8u3ny3sEO+2iXjIainUlrPXYpKj1M2IUNXnXvIqyC5C7fZLmZhaSwhBthgMdr1YMuhdzrWYaVLEcqjVj84nM+QtVeEAliTXJ5LXOZjJxkbENLgIidLre0eFWwVSm7OLjAq6L5SplpEk/Yoe6KfwBPKaGu2UV3sqr0ycavGaEDRV6AcmE9XLwYFJbFeM8qprmvrBWMm6pGbQiW17JGJERC44MBx4OzJVIiHHPrVsv/rufEJrkKPrUXejUd9IEqcutp0fLl7jK/BoVjdFPbS22VEKtoll6IM9hzdbitBErI3pmViDN1uOlU72NkxxMYX+vLCvDWR2NZpDRK1yA1H5dAOeWuVhOWc4pYpOH0u356DYn8SpjL0Y7MuNvfiS78XDKuLg6aFJ8qfQ3BRqnYEHrmK490fq6GA+fM84dw5laNlCrxmtgYLdFquBPnC5YAWXWWqv4IGIsTw+hWEkPeZ2Q+aBxVyO9peJhg1TSXed4n8KzKUb4+b2sZvJ3rK5YM4dfTQV6gCXd+6xGezpBEXtpeAIiy9oF5u7ETwosn0xh2GJlCuBJDvFtwR5KWCIRjkNpYl2sisqyhrF0gfrp0ZvyNLz2pEzYL6aSjEWa7+33IqRjcNSLYhom1iOzi31FhURokCFkMZSb1ETp0lN1Q5McSBmkDqD5UrPlStYj1OBkN1ecGZMCnY4VxgomGJP0BcmmVrsdTe9zGqZ4rLHn5Ka+3BSLRO1LymCD+m5TP7z6v49YS/AnmvFIfyl4Cc+3Fafl1HUXcRTukJTxecRASTw1Gks1wYA2WFyGMIMPVwQGHFjxkO6Gfr6KbywyIBY5SRO7x16zSj+Qw8OtmCH3j1cH6gXvJJRNevtdq9Iwg+fWrFr9mWBPqqM1U8JC2rE7Weq7EdMNFjedpevqXQYNOqrcruUI+lcb6lcuhDjtNxiaumPp961kmjcDFbrOZgnSEF2awJ3hvn6O7JI2bl2tG4bKrnVTUHDN1btsketANOrXWLa1jzGmMDF+AQe6NVuItj9MVAyG3e74fiKwJoOJTaDHrZfKL4idEjFY/x81M8/yPhq9ajOVMOSz8To2CmYqgb+vFCyK3dq8fV1ec87pIO2LMWh9XqeXDprSWNtzYfhVwgEnoRS90ENu2IIu8C7mpAjqaHUO0MAG2IB7YWa7X9SZpabHlj1bDkqenQ38lNDvlfk3XmTY2JATFFLAUUhjDCBC9OD7Fz6KL0Wx6dn4Nkh5ahWKxhPnV7XeyZumyHurWitQnHjgaE1o0+MWiKSJaKkmLua54K5LNZjkCnqEwbb8XrFUKdB9xYxTuqxEJypfUaHZ6TJn9J8jPXnsxgllyRPw+cLGU80j1BzR5y7nZCSG9qUIjPDMq2fWkX/3Jb1qFTvHqTDJR+gh2bQ1YZMA/B+0iXzuVJlCGhPmRFZmkOv92QNQmhTfHgGpS5DPx1u8VHVXLl7BfUstQc1KMf9jK7lvQT4e0ujDsecqDl2GGozJMXnIAeudZ+rmulvViSlt7hcUJ5KCgeuxCJPIda5FN5Q+bsg2s3ObOqGLF8LTqxCvam3S4VkE8tff/usneczRZwS9XZz5PGz4pHj7tGYq+gZUsFJ1JHlOiX7zdTRnvT4g+/htF44UwMtRm6fMmYv1AvDlP818YEYvXDF0dN5q3mv9+8v09pifeZQaGbOXEVnJ8RFZkCmul1Omfzr3iCZeEp1U9gpv3wsnTcBfkmxkZEONBuTiUeCKAnNyrtC3nPFIlluUmQ/zZDMs0uDSqiTNpnNk6rPBpWlC1l/7VzPD+dI9FKY3tLnknDawTTtBSsaPycF/ksMjny6FFXk0jAD/91v80v7R/pJL6NXQULseLZud9S1PIWdM+Khswl8ZNYNnYSCd/oErb/crT8x64YWaqlr9Lz1JZfUiJJisWRcuvr/uYSg+SmpIlNnNhtqCWHLC9DIwD31UljHXl3QUrvenXLshuMCCbFQioavNtcU2Y+ctTK9r1x4SF81Z4TTX/Jgd47KcgTzRY9gR3n6mSmus0DTGcaYK7qdv2KQxrHh4qQpxZCywlJ5FW5a5YbWyK/IhTyOMOaWevFqNPgw65v3THzTo1oYxL7qa7n+LqC5AuOrgi6/7k+mp1xQep6c/kEHj5jL1dEKDefeylwRZa8wC0XyaFiaui/14k2ckmo90kxmUvuOrQWO1Zut5HJxZUGr93pZqAfM1sXgbE4tzq9Saz6MMD+rlt0NmZXbxOxQH/+RYg+qco0j3jxHrqnHLi9DFrNgp2+Uo8euGnAVqDV71UsLNj4ogBpaWc0FhLObQejljfQvpw5Crnws+gBwNn6DP4K2nmqdFnI8GniZqtYoPy5K04hi2hWXloqsB5V616pLODwz7DeynK2K/PVhjqS4sxpYpKYUizmUeYqbWJE8SM7mSC7gCaYFMZflMp9jyUbMSIJLwetxr0kS5x5BHfuEfOpXc7NEmNPHKDZv0h9LvZ7hlsBfc+TCaGhr11KMai85undRvKP4eE4v6ycqE+uVXl/N8pTuHI7boMi14b2V+/sVZZn2MUzG2Rz9ecV5tjHBiU/B7CpljRY8t3W9PyuuIwDWOtSqT/oNU5uEsoSY8eQ/h+64flroVxmTlg4u+Qzf67v+3vXNSMjGTKtNb7LpuT8kZWMV1AUXxBU1msnqR+fBFEJo1YApu7mhOXJE6swL+PGmeqCyZZ1DGTiMQzX0gUp59cgTQldzDeZeoX0TFVeiXbFvjHoUUyTl1IPBUiUUUzO95oNZrwPpoItzfDRhPH0zdZFTmypZ7KPVplKE3RhKjwZKkNxH8ZEGjaKe+idLV/a46GUeVAn5Wdob0GaENz94yVCW4xTD0f7eUN1u+pSGcrRSG+p9yk3VY8PlcgVGMo8sbLO1WyoZuo0CaEfa4+GeqjJOMLD9kf7Y7qgcYZDOyXpZof66QMYgqhatac0xWv11KbX48WHNfuvbtGYna9XETH4sbrgk1X2QiyX2ALoNjf8PrlpNthhJey/YacIPN5+5Wgx0Mm7BjHzeJfDOj1W+OBnUekPy1ojZG44Wi8rwrShjckeTXUzxbXIPRphIakxqd5GHlUrN3YA5FgXRzFN0WmO3JIvCI0e8nuz1UngExA3d2SFXlDL302ut3ViKjwg+VGlHQkHyEYkcJz9FTNRkqVTohtKaGI8WmWNeRlFd7uAuNXCKRljMBXFUm79cmocAn6jGoxW7XZOmdygoddcL9ifK9p4CPkcS/doeGeslVtRUAeAn9Os/zbRdLHgrf0T/3W/jSwjjl9Vh/Xm7u1N9dU/9Hsy1EPCipn7PuLMv//5g0BFZQ841g/7jw8f/0M3NTow/FSr1jjwO/Qv/uN5f7+7uD9vdRcm1QwywxroN6/yPcalw0PWCDJRX/PDOc8kZyLMJM+DVuz8zzWs9fGsX45X65PK6jUzoRDwa8euxe7Phv95zWRoulV7TfMnePRzILA1XUcEwh64pZ1tOHRilm4L+fE8Ve+RRLMeqR73/cnct7vKW0pF4TRCHTP3AhkxgkKVC2O8RSYf9oFlbm+KNbwvmvzOL1tBXrUT1I+/+nsrqRT6NXrGfb76SNm8LMRQlHksZECLTreaoF5hKowULb8ET9BzKJCoheaK6UDSSCntPaT/ORTXFHRl8SU68kZS1MFH98sQqCSnq76UC30jNC8kc9n9cHahIEzJ+s2tdgf/3bvvTZa95YAt/Yu24Xu/33BtewLNzfwbTudXo/+Tx9KmQm89/icEzXLroIVMc4rSv8Pn7yG8eyD6pHmpDfcT+brMmCdJ9S058xzmYDdkm1/TcqaoH5CbGCpUzn/aryvkHsr9Sib7rWf9uPP/whpS2MB3FGSiMZOuPIqZvVBLmPRn7Fcs36k/9M1VNJ1ZcKi7rlXq9gn/eHe6mlNK7x9AIQV3eSg9ZLxplyQY3pupbVNDD+ssXLsW4gR836IX/vN5cr8lCrC5/qtOt7yjmRxCfzVHP/e8prhpBdnAaz5H/uFDzjYqmjqRYdTwuUGZiKk7teZ6ZJilOrzhm9MKVT51hPz4c1jfMu5G4wbGDvH2OZvoddPGR5EgjxDhD7ijWZ2QuhSYLNIdCqMkGb0mE8mVcmpIXnFzZgRR8Pux5Ql7EF1wFZcgcwwUlnzN41ab+jrLtQIpXk9dfelhTpQ8pjdVH/cFvvLCaRtJ4PKlvLMxyRKLF0Kqa4+c1yaSbEwoJ5tDNNTPFUkcRPNzeM+ia7DzXSoh60H+gjGa0NPQ5qZn+C1nFUh+10Aw5ns8xAZFrRV+EOSYxRwt9eSeG4Tnyz1QxNVhrQTw7O1jzm+d3XJ6y2HTdZy1/nygqozY1UNXrtN19pSqrYxij3J1aCx7Y1tqxofeqGndDcgR3uSL1Yv/xB0WHho7PYkk2c8a/kjy/qQSjlaiUj46yluTUZC++V5ECKZdGUir47y8y2vEbtT4m7/3+vA4uIHGe+O7noP01w1c3TNnAvYpPNAefzzhBv9SM5HeFWW3W2wcmfDWbpBgg4oDaYNg/rzfrnapjO/VTvcpf8ltt/lOqCv5kFMyBbCf2qJDr3df9RWWcU2p9DlZKPtySmZKPb83D7Ge4vHGwZxaxLuYf8G7347LVRzpXq3b1/ycR0cRrpPxfGXf2I+/WP76/HT0c5tg2NfouoSjsdqeo0mVfS5f/tGng1396DRqCpUJctf4Unakv3/+/ZRPv9vs7paFO/Z7cBr7JrdX17+nWmKfAeNURERLpm4OHd19Xf2XQHpwTscYrPfScYOckNiCJyotZqrE3d5/vDsr6esEM5hdgBvWemvkFVd12YvgBBa+x51gM+Ha1u2FmLlaGGJpikr/AH43U7T2DFnvBBcR99eB367mnfRKN9uehevvpqnLs1KKhyCiF6OyWrb58IVYNxUYRPfUuX/FHghI0QTRLdr9ST8Mn4eLli63t/JuzHpbAfSIYtqJyuL3bM4tWwKRYUzDw78ySVTe6iKI5u2bMCcMTdXGpZ7Non6glf1WUeC7z2T9zaKx3++1GXU+nfgL12cjoKeYn3h5/OFJN8peFXn9Z7fe7rWqLfPKYTvm6xQXzGw8qmenkSUnoP+/EiHpBP1af7CkwcjdKsEN/3q022vM+rSTktDQUX+hf+H53uN3OnzxOKkkQvkc56/YXPq1PTH9QaFHPFdVgZvd3W+q4Il7cChK+5+hvdzfrG+q85jE38K7rtTf8ByfhBXR+0XcrPNt7/cJ47uT4Uqzw6QKQU4I7OzjiFMovvMl0d0powcHePSiUNfrr6oaRWiT6Voe02Rf4QGtZ0RJZnGdxK/XYN3f7w+7uIyO1kBpxP5r5hSncRNzK0aFjV/UG/om7ltEpqKDFpkaLzCJ4xEjOFJhNbWKjnP8EtXzoyJzE39Mbj+5qX7+ud88B2SXR82jrDAIg/QWrm2+M4AY/sRPbBRSts/rMWFbgpSk556PhNzeM0shTSUm3os+d2wEEvDmmkgz86dxeZB4X9OV+Jm38uF4xGygOScodBPVz+HDyprdnDwnkLXZ/pUeXg393vWaMMwdTwUOA1A+cWHx7eJBr75FQrtE6U//0ZSmT79UHg/70wBh3U/Z8Dm429afUowNeujfU0YPswCBX4wuWuSzB11xT5qZuF6518UTQ2VujoTR2e0pwsXExp2J+4V4O3Uiat0jnK0ZuP1DYNtWZR7twjLpAj8MOMmeNPeGJDMe3tNgXduAfzEdPPdbENDUT3sqO7b7f7dfvKfsWWciTZa2EjnJeZ7c0Wmrm8ELPfP/w8cvd/vY9Y+BOHTFRv65/5O0vsAYu3KGJiFCD77eUzE0PHaA7NnDusAUH5pE2Az/mh6x33xg4cqj8JDdq7PWO8kHljsmo3bNfzrgFaEGCGJCnltyu2URCjCYidtMpBSVCJh5ZNWv2bB0xrjv63bZpFvPhxTpilBzSn1xM5dcIG3qguIB3Xg0WST/s3zMqDjzXMcEfMUv3t4e7HXU749CH6Jocei3wuzsuCFDwJNRLs0J7v75+fPO+7NyDRLSVV7f2OWy2vBVI06iuwbVSPyIX9d/Np3I6gOWnPmA12B84NYNhjp3YJGBmKKz4deNlNlKCqfncZ+V3v/zTL3+JIbvC6N6GYqxQnvzk6Vemvfj54fPDnrK0vRcXz+V0pT/Dp598YXQvHkF97jmaH0AJ33tKkaRRTL0cDP63u/XNend3fdhu3jO7gYCaTKabn/lltVndrIgNmUXTUdITc3zaz1+ocKAoJedSDOUV/VgBvrv7fMtsBMpnxWbPdnisI7MNLuPvUgz8Z8pi9SA7D3biv6fsVXTBQp2KBvufRCZ6/Cn28JNn0niix8utWHBDwU8695ydPHvOYH7mMaevXr38yvBEjsXk9cUEzhFkhauPePdbIuUspjqK69kNdImKCZncrqAdsMYx7FhRpK6U6puZ7fl3syj+MRqBZzMiU2UXxTWsrYjG1dj/olIfhyg3b4kp2cnqM37qwxO6cpZwNN0PFLaPXi79YkbeEcleCV0Xc/WV3aJhjkXlC24YjaVqk8EV6H3JYSB26giL0hl/JMqH8/SjCZ1/xA9qBrZAnJHE7wypxKPRmC9FlLHKJWa2lSHPSNDaPh7N8uUd5dyJTSWJ+QwKUQ3+QNQjJ9QjyyVj1wmKhpDlIeHJL3tXuLH1d3fcFaHmYyXHPO4jsiXWWzuxVcNZbEVGbrPn9w9MoqIYiogO+Ha5jMjlHEax84605Pa8qstiC7gE11Sv1Japscsw67L8txnzB7NQIpcxo7GzxjLtjl9uwqsCYsr47JT/ibr+5Cx5UH5p7PojA47gGvM4+zPwwNFZxoREUvAR6JE/EAo25jRF27PBmlv71FP+64LlhlR1//wa/5pNoEwQlU4wzH4HXXliDE3/zrvf/euHf1uuR5puY1xPYdDwP/zj//3lw+/+8K+XGEFXGdQS/ak47PKcDkyltCTOycsPTVtJyVBCWasYMnPoKRGy9gH4eF0Qc1CDb1dMQktEB9qSoh2aEl7UMyWYn2rp3q2Z4lYxD4JYUuDYeXvks9eIm9SxnTLDagHLQm6vkgyWyZNNIishVJ8Gjd2eL7SGXSCiKf6ahjEtG5OY+K5C/WssVY6La14cTVGJGkyxeKaC+oDm7UJtmXo13NXZl1CtaFCSIXJVxUi3knHzY7P6ejY7NGNzcUu/sdBL1x0y08FlfLlYZASIaorZTJbiO5Q7L44FwQc72/VPhHzM1BcKA2J4/m6KQS+CV66AfU+jD7vVgkOTELaXeWrcHanrasv2g/+LysqfXLfUa70iBj5SlFkUZXYWu/lE6UlUEyCAqcFMzh50rFzxOP/P2Efj8bzaiGCMi3D89JAn/D579p0bfSs92w/e/N1fN0wBJrRWk4slmh/4fl4yEpo31xqqmez6hkp+TxktVJ0vZtTd+p7RluIru6mmyUyaIRZPTZz0qUDgYqEeUhNjOZRisQeuoQrcixpitBJC0R4j0zij448RE4YHzqNoL4oFqbGn294Nc3BHK4lswXtSZXq89RsFcqCwBf3Qg53w7ryb/eTPtGBgH02Gxkn18appp17w/lnTbr8y+iMiMxx84xp9/3DglGYXhx3kIy/w4bQZcKQ05VSknI/G/nI2uzyiAht9djSK6cMi6rKOqHWwYLK/idiUyKYwk+XuUxhpvYTo7XczdiV6P3vkfmnsZ8awRPNnH2FsKeySupxIEYOYlAq1/UiVUqUMVvlY9aDDu/XCqBndFHO2a7S+Puy2G4bfKYGvMoEF0pwGJkA3ddvMpRnsV0pTgunF5WrWa6XyQs/Zh7X53uxyHUZK8dTRedBj67F/t6EoN9uIhwUrWvuHa6bDdnZgQ2h26NuLwvwwNZ2/KNwtejqLGRGuNPb6x0fGWkN0I4OJWqPXu/396nqe6XA6TgFK8uq6/YB7Qs6ghGLC+44Zfnu/YN2iuEX0gDcrtn7P+rW1p6pGHd5td59Xm7sFR7GCQRs3mxr3vxjrBUS7EzGm2eWFTpYII5fkejRz3VJh5DqG5FIzY26YMi9Yeq432Dz6gylq1gSi9JS8Ae+3nw6UuQbTOmW7WN8pDfSU+/MCHY4zZM9FgoOoTXsiVlQkOI1Ntst+9Oc1FQmWg5yPjhHVDQlpVr7VYiTkwHH9IMAnN4U5DbcryjVGchPS0/TI3xh9KzdjC1Pdkz7DjOJ4NfXEaMypv5Vvclpl4hCLuh80+PwxjGhZltHfWKM2TAwgPnZ5Ofrc9W51faA8Y2QktFDMDzAtUGJBQsrVW3Nd8oodglPxFfqU6E5FHsMYXYPfosb9SwxhD178z4wCApF6KS2aH2GOE4xMX6e4tcLu9vIJkdFAst/Np2qXnLRxE3pgum7WjjpUsP16qN1++jfq+Q5pykdCSsVdkWIcwcNthJSKJiLzrdVujhR1RzWwIiQ7LGO+wMYVkyumXyMgKOJpLniDvd5uPu2YEuohT32mQo6/YsFyyGI19fkeDzTXOlR272g987Y2OHtHTUn0xUdOIQxvafujCV9o5Mq6uXa2IfeRxkZfSwc7UWFXCxGFGEHUDooyjds+MOEmuPS1+mm35mgqqSOL/gsl2i/eLLUhE60rimuiBX1BDqxX//Lg8/Ynn5xoQ7vchkCiXibqFcKBK97D0FNgylJzFT3LfTZzpXI58GTvW7Ir/CKM58MIaLLaLfZh82n19SzfCPR6iyBWulgmplBA7L4GcwKWIgERj6l4wzsecSnaih4x3od+dG4YBSn3gTji3h6e/fZhd8100B0SOADEN7SiQbnyIMwTD6QY0fiw0DZwiluCicN8NMV87MfQarUT/krlYuDvUI40FBX0EKHytZdu5kq1KZ6ZwqCKDy9dr58TBRZtU7n2XcG1r/Cr3XnKqJjxfAEFp2B76iW+oLlezXkwY1ITRkcqZMqrkQcuWlJRTlMQVlMDXzPXgehWV7Oz2N3DAokxYqWpuNLtbL+QOXqloxpCz/bTinoPl4sz+IB3eC0cL5ngZ7VkLCKNpVk0RSY8acrm49HQVHMWpKHVggpnjaZuFdCmi0/cX7EDyzCPqEXI4IfR4yoy4eWjmJCF787TZg32nbcUkJnNoZ/XFC0ismyxVnmYg3eUfEWURZae9cDvqZde1PMWNKucIdlGL3g7LWLTRYVeOkigBHFRTZPKGXVTdm/NajD4oivKDY14Z0Un7hn642p/3qpKsqW14eluDqNOLSLRPSS9n59OhAre8B6bGOlFDbtlaKxw45dUipaF/ZaK9uEFHRkharJ3bDJJ715vK6ccexlji0F/MEM1h/fcHpsR+7uztp+o/jG7ULUcfFpzAYUpTzRFcc7VPP983prxcl/1XvQpCf7fGU9PzBlxX3pV2JF5N04BxcZJL85vyXhgdWKyqjlSbdlnyhPP/OmpOeZ/MpoI6aQVfQbn0BVDRxaRDFGm0zKDLr0+JBlPJimznH/qe0rdovFnDfpTv1PqFmUYsCvVoFTwEGn+peiVZft5iMeCGEvTYCrhcnLvXE8vAz/WJFIMy9NrbRULxA68YoxaGB+gWTSrTATBMkg1wLm9uMpvRN5izb4poXjYc1ZHg9tetBRy/dYQx5L/dfqLGeLBjFsxuKqRN+trLhtPbMPuzBJzufZyL0ZXq5KKOypohmfp4qoac8s97sq+TiWiSppIz656X/W521LKEO1v0TVsPlEmb/f5aaSeksKB0KJIDmn5KTfry/l6K7ybT/265ijqjQB2a4zpBfkYq/q4pECfS8rm463/gVFmGf3nEdefQ7/fUu16pvdmDxIPBaYCa6ipgZc8nydlnIv+zCHXosa83m33TD+XhCdF75JGrzZkukvIk/gdbeppy/Pp0WOYY6iU4AhvACm2c+RhvduvqafmhIKQEPUiMYZnRseQVjVy6Um9gLJN/kdNk+JNnVR1xYu6glLmtbg82YFdcQ6lEh+nxu0lmcUlLeQaYmuD1gdk2qIozKI/d31g+jwiy9v1fPlMs4dp1c1peU9eDl78rTRcerbxfJ7b5N/NJ0qYGWLMi/+BTBK1L6wL/Kqrcx9jeGlnR0VI8LaBbqXZoK9XVIsfPG70INr0FT4QHjh6ZjS0ANODUqnsGUuElyeNnXhVqDrZACqcYOA3SzED0HYhp1zPc7e+pvI6UchSHJoamK/eMM0jkK7oM3q1mS2mfGo0pA1gUdHgT1uGPTiBycQhoUSjF14bEiwB57tZri35voE0FDPgdyZZsUycL76zR2E4DtqhM4lBk/q8BZHoQWN3jxY0qsz8U5XZ/3N+5Tro5ZI9UPMyNapUxXlwyFR9SoZ3C00BRcBHj6RaswSfN28HUo6Sj0A40Y7OJsW4jHSagDQxjaVeeSLGRacNLW4fKKxosAoqfbNzr9qXDNYiUl1eStT+kyrLeYk4KDD1NCzXTZT/2IEprR2nLnt5hqUb6yIJKWe0GTs57mm3IgWRStAiGSzTVC2CFqkerdX3OzIzPsjFCn02B99QpvdEZowU6Dl4eEfFxSu6ifbuzVf/oGLbHqGLmn6NdLQ0ht6PxHJDuRogHEBLXy0d24cdedPJbVnDqT0eFnL6m3y1FZBrqhIKqY8JWbUavKLuuSjgKW1Jg6n48eMDV6lmwe4WC6jEouj2cz+tyWexWFFJrMGGhvL0uxhycvOR8uDexRJoFJ2dLRWhQv/0idpBj3u+ty48HtfBhW82lkoeiGNKIRTmAL5xifowP/ePE/1GYae+MEcb9BJgOBtzRz/GgmRac3q3ByoBYcrrOpryp4clRoeG9ifJD5cfAYSaxJutx3puuCRkH9FcO7pwujR9OOYk8t2XbLCU6xPkvkeHeA2lEgAi4jiht1cs3Zo3Jideba52uq+J5cNC5D91j0iZQr9NJPFGZaxcCngHUuClXtFTwEs+OQ4ax1WldcwXzVjn4IF4pC1yBLr5VMoj7kUuMI9LV2FHRihehREPbc0/YS8iyHqBXkqQFR36FuiRF5LuUhzl2KVoUBQnBHJv8AL15ohLL1ABRYMtmskuZCUWJOnGaga8J2W3thTtx253B4rmAPxYDs3sNZzaGblDouvdbiyHFXlqNXb72Yw768RrLFOYRGEf9hQ7Flp4TxFGBf5IPZo5+dv7MGgsdcWLT+MKWqlpLNPWDLkOPk8vMwq7ohJt00TQjHzmi79abjzwTCJN/+zheyNU0VJ38VcIxmtZ1CXHHRGOMsV+Lz3tAkW9bK5mT7cbznATMyonr0WR5C+CDYY0bztVFZYZzllSzhcL/rR92NxwFAlIRJDx/ZHq2OwvuxEmhln38gFUPkJ0T7nJL+jhbF2jwpZRbvpazMgvdY1LpgLOA6o4DJxJJMtlnIw4DQV7KnWxoOdYhtJTcCo2AT2fml0v7j158pnLlE/69shn16sh/gfGEo1lahpwuzQvXrfBioiNVPZ7Rb0yJFTB//m8+hEVLyejdLNWT83VzjufskOu4SZWA35hriUxVEqJxWJ/MLcScl7kZrGC9Z4MDIcqvtGgsTuqpiFNZKCgnJujl8zQhOzE0I+O4JYLiL5Wz2v4DXUn9YROJ0fn95olGsndFyMaS+FfMUFDTFYMF1IUETXOviFgZIWfCvxGUON5O83zliTS0lJDry09wRUV0oOrGyKIxt866ifn+VicX+3ybC66RWARio0jRgOfAhWn5p5yFbyin56fuOxc9PeqrRQz+HfqFkET36Pv3u6+UEZ7RVgALZIV+obKskjgrBIvTmO5AmwkBjekfpsV+7jaszln4pC1E999PoY5NVQ6wnLp7kGOUm2u/BoxEStWdFxzoRs0RbgB4c7Zd7Ngd4tlRdH3ZL/3Pw8PO8a4S7WCIiQfLdYn5jJBswGH/skKS3k4PeDlpaXBjCtGJVc8GRJYDbtdrh3F1jy9OsnVnY+O1YbqaT/TJg0JdP0Jfk3dSng6chUsVAa9ECBEjY+YR6UNGkdFzFKCAxGCGXOBMxkhiiIapBsYdZji1JcQST3mezeU/hGXJ0RQYpsvprSP7A/eyF6gF7AIo9DHV7z7vD3wsEBKUkX5FIMdScbMUOORUP18fU3RyFVQOdnV2u5ulnhJwDzecjBrRcUWUaXgApo4m6WiHpuK+PwJTo4G/5F6bKriTXu0qNDgBYbQllBiU+0J4grc5XMdKqE0dvPn86zjUwBq0usKFv2/U8m9UyeObI/Qeyq3V4zfBvv1cnUB9QpCkGikgrPuolxKCS9rRr9R5Q5ypwQkm2vseY72KYmgg8lMo5bSLRJ6wPXgzSypFMLZHVAzWuKZy/6sUSfLmxr682rs23Wmw/HjRy+gA9Zg6l06opS4B4vlXhJwGWSwgbyAh+OOnacDC+BPnFSjGvp6vWdysPCiPjEZMrN+ozK+NDFV7KypwglwEaPlnsYeyJtEXCtc9GrBuLILj9626LqmB372ORYJjeUm8nhe0/DvVMqa3IC+Brtez07H6btE5itn1w8aR1Gt5C4HP4djqWYq3vzYQcBssFTU+qUBssZSSQvoJin2TXpTJs8Vp4qDUryRCspLeOQ/zf78iG+EQZATYvfzwJjaQwbRmgOtpUZTJRDix6Uqd4GZK/X8Lwq2pukOUuOiUO8jk9YL/tKIXuJGik/6GCczexEU9bU+n0CyI0z0jy1+NfpU6OqNpgMug8z4BU5l9oqKDji4akzq1RYMFQnJmxr7gwo4N1mpWoPBkjWVE7dViC5fNlc5uVVOnx10pJr9wEQJxWLX1Bs1LMGONwWzymQ5HWhaQjJzRRkzGUkNeA71sFrU8HdnKdvxLtjE4W20OA42oziXo7W+ZhOK0TB60Njb7R0ZN366u2fo4d01V5E3XfzNH+3UivLmekN/82wVwIGy00A9gA7D1coYG5WtARVDb2zyWZWHZ1SrNCj6QairlII9/5QvBz4qH4uzR2J1/dNlihYVRBOfwCOJ1wNlokXk5FTENhScy/oAVYvC8rkFKSNHptjPvuUSiSr8wuiP5vx5w7Ura6DZxlbrSS8oTTEFQHbWBw37RsZ0S0jdzpcpDYtTBdMUD1bYL+fZaTo0rcN9plBcyQeSA3JuZqYLEQLXRzFCU35rxIEgOmzozm62hOwkIIc3BTlFBs494yD7Avk5FvyJbDUWxOAv9hBwF1pBLLU1O/Tzk/GwTBzRWivVwPfnaRzEUsFi+3q0WpRZGkXh5NbflI0ls1Sus0djWmHlTiBK6sLEp9CsqlrvSGYr8QqDPUM/UfXPyLyYbJbz5+9EkzEtGFSIHYTHLlQ71a+Lb3xB7JRy+YkfchbnKPlWLl+f+RWEliu5uDQ8nV0q8xC1h0h9ekEzuYPTjdsQoFMoMi8GTTk9Ql4aTHU0k8vHZ0TJ9Gw/krUcoiFLsQNTlH24tkTdBLtSf6WSPMTwDej7qLGbLVlVUVvvYdDgpTYrbiqZ6Xa2U5sVJqMOqU9HX0xyb+P0OXQ602iuEwZYAyMYPzT4/oET6alCuk+xDSUiC7GNNmUuliOpJAvYnAPpPtwyPWMqTJHwkOctdnW/ul6ymlFSJRe3Pftk1XFr0wOZGvXHs+u7FKSQPe5TmwGNH6m8OgRXkM6rsb+7MCECyfQ9Py8X2a2goVnBC/SybAgv3n5JdmTSXoDucr1Agyj4nuzhV2NJFkuFc8QRDd1Xi+UeCyreYqYYmlqyPcl26EOu8fRHD2fz8Zp3Fnt4YLtbyRUVa0hHk6Y6wYJdxvuWmK06MqbF2chKPnlSWTDMuEl3qXE312uKL7FOtJbBoCniITmI4iaFbLBrMgOkI2F0sGu9cEVBMNPkdijcD6qRlxOl2bvF3q7IRl5iHR4J1zeqMwQIrKfnicsXqoMOc0qnUqKxsExoNtLQGYo4+8MbDHUR1Moau5AjJzeSC8H14WJtI9gy5oq6BXNwqfZ9UwFbOlax57lg8eibvINJqY8N101qeMrqO9LMqwsNcMQ3Y3KP5Dxc2y458D1PKRvPYNOEb/FSmWhCcQ2rH3jLOhz0fdLETCsGRjbhAxdG9gk2qYKTzQmgm32H0zFDD5x5OKXii7mFlEY19qxR2nklCRNges1VcLJfah1jgXumwdcr0q51ZXos0B++ZObhtS6J5+KthJGEsrV2+8E/qA5e6Daa7UKtqCIi6J2OKlYjlpQGmQJCLRvhWpPap6FgQ0MZSk6Ui6RUcj/CkrRBeQoFkWtlCSweEyiXBz6KfYOFHiRbWjQW/IbHTofVbu1XynZ3qImBDa2wSwkrEW3oELdSKOohd65iPb48PimMS1XsDLwUzkH5TYlYIQVak9U3XYRB5FdhVxfVcmrsNyZS/RTV9wa7uiN57VqYwrAKvJDYmfE+H+qvmWlG5lOAwamwH7+cz+ssFazPcJaZjRns22nvx4tLFWRNdaBB/GW7Qi8FRqevO7QyrXU204HI8UJAXw5LsHJLUTd5mWkItRss1VADnO2iBu0qrTar5ca+vpRWzTx/UF5TKiK86I+rR6WudNRgor+Vwe4pwlVBlHAkT+95quuYfoX4gwKwpHh03qYUjYEKcnU08LHCQZYX9QZ1nPqRLFPxKjGCxDCwgnnNvkE8VoUoGVm4PSDOHR1bzQYvlN0EtIiozR8tEvXuEEYfwa2nwbdUk4iJiDqEaM881yDu9boTU0jOsisqb2lYuO0eeS00dk02AYhiAUWDvV/tKKZmOcIhl+QNfImLFQRorrRXFJ1ohRKjOhHGm4ViuiWKHT/KZHHFK/CeukkmKo5usZw1g950cgTioMFcPK5nUbK56/0duNoVB9MtZ/vVKq9sWErNFGG2wrUjY3J4+JnoNezEOaYl1IR1H+zo10v3Eh4Eis/eSNg1mbaYMlpD6jEfKP9pKsnK7c3zsOQ/iYDF2CyWLBKSjW4tIX5zuYRB2ZYyGfhKwjjfHk+9WVwL/4YOYWrPn/iAmtVBP5hT+aI3xVdGRPJFHew5RtM0ipkmQ2s4dabFvxH5lPv4BXtBQr7YEQHGjxl4InIdqRTzMnV77OYHft6TkXKHiKYB/y+q/FxWXLbIDvxwS0VyQkKebG1m0VYbigk5QU4hH3rs3SPN1mJrMjRAFDPGoNer84k9UEIhgRvB4G6odwU8BMuFFexOU6pI3Eo0UzarxdWGoS16aOim9vbIw0JQpSfRCwb76WFDdY9FgKPUlO1OLQUp0DRHNMGgUVSSwWSATb7IHDyQHb5e9Qho57p/GnnKdF3fPFxTJjpqp+Wvan+FrEBEb09xxSz4E1UAHaZqBjsyF1+dkoRrjvEVPTBNSTqiHuKD6TEpOtPkMvj4LZblR05NrGsNpQ6U+CJNDM9mhv1B9WQSd7XmFI5FJFIZcygwddG/OePT+hKlgyk3M1mWH987hzOoBeqBavKRwWTaokVzvZkKskHAnG3E8Y4y+hAXcK0bMNefCbWW8lc2orxkL6Jfnti6jDgOx/aiAxGywX7ieDuQsoMGkBr8Z0q/I4kkumam+tyr6Zxuj3KV2vUdL8p+DmV6jX3C/hvFoRjBMgYto7BrsoG6GKhYp2fsBSzE4ILBuVXDPuwYek2o9CC/YNEUnfrUQ32K+BgwlcIhpze4lg2W4wB5zFyDslHLdb1lSX2RJNvtZz9q9iUzC7lNILxkJj0cZyUHhBM0lLoC08QNA5JrMy7JqQhXNcVa/WAGp3RtQSNXH7SYDGxWsmxXAAW7+fQ/US4nnr+q6+ypsnnJDtzeGvuRa5ebZeAiHqcGU0Tqss9ZHOVyLNwD1ci8iR6xR5KidwtyMMQstVguPIhapuzb0bHYsTxCaKsazZnkCD9f9S6IONEGi46VR9/HWJBhpLFck9A21lCbxa5ubnZrjjc0gfsgV/MDSyyyBfkC0c1gPNMDEthcRf64HvPAFbug5adDDOetpT5deg0CrtDsmPs9mR0hxnuws33gaq+z+A14VdMjvyjN813JwXTanN0etqEM8sBaKD3awankCPnwgARHSi6P3lJEfSD8oVaM1Ldi97SI6hU9MsNxlRrqPxMMAoVdf6RyhpHiCBdPYW+5pAEPfx4PDOYs3t+TfS8i+nqZFeNIMuBx1dTtyDsqhjxTXhHtXtuzBba5oWpJEGkrYul6gye7FqHRixhhR6N/JTt/Q85esY+1B8/t7Zb8ajyPQszUyF/OpyGgjamo3GpQK4oAAmQIHi6BwnKVVR6JJa2YuZJHCo4qaL/NyAig/Ilqn+lQ1hXsrKlj9VgTFpz/FdOe+n4n37P98g+U4eaeypv1mpEBugbecnRWMHJNqSHwlodaj9c7jtRzMLoo1m7xP29Ytp6Uj9Z76Um3ibXZQzOLRRWyic1XWvJ2qe6pRpyIdstJttJxig38qMwrjOJKIaTw5jZxlQsBfNWtXhDnmtltz1g+D1+kQPyJbMfdP1AmkMwzxRgK99XDUaPN1rLFsh3ifK9h0NDbLdlVHofJq3EHrs1CaeJR5OzNN1NUFMjUrEjV1tgtlV80kRRB1S+P+wbHUIglGuHYrTasxRmczNmMfE/R9TjUEcVmwdRpSh5Ps+5ovahWNCh+cqVZqSavKJFMWetql4wLDmRkDng75VdFPyxlDYVJ8zFzHo4ah4rms+eJem0T2SwZjqbGrrl3cNAphl7Ngbpdbe5IVmHncrdz3jOcY4gPtDbdyW8ooLPXktiqBrRhOeRENLORDa6PVU54wUb5sJGO9YUMncG3iXmg0PRXUPTBRwRGFfYE5+7R+3dEg0scRoW+Idkoep8skGcsQ4STUL9Yj+bKtfNERxAkDGrsgdK1eF7rYF03YDKgin0F37ue7PWPj2RTELFgvN2k9W5PBlRbqb4b9P3qmtS3RZS1t2NT+la8n+4QWlDYkXp9Em3be+lmxSizOk4U97FaoaYY50ErA3p8u893VG5oHXMKeCxQaK5pxhR2ankwK725eU8+9ouZGvQ2D5yiR72Y7LEVkRXVqN5BheRgV5vh6EdyJ/4uBksFB6/yxA7VXLIrttpdk8TIIE3xZsVu17sL3/zFoAmlPEc1DlQzzxcaBY1efz0fJxQ/N5aMq0LB7g9kIyXXQHv0Ar4gxbRgscUnMCNfbzf7w+7hmumyjbz2ihxm8xsvRXenX79hJU8vO3qtSbZg+exeDJZrtwgX2+OSUitGHSpsVUSrRj0up4Wy2NfZ7vLNmsoEzGXsdYqZK/SepSCT+8YPJz/6DLZN6Td2oalO82heWtGpTmPpQHIvYwlihlkBofi3s0efyZSteFGsCAhLyO1ajIhsybBEdcHFo33+RvEHg79JJNuqkC/nzdxHJuBoB93eX6T0xNEem8sXqZAwdb15hT6OuxDPlCOYoqvdwDjeGDf6qfeoxh7I/MxaYZ/qmd5yLDl40PW+pBNfPSywB7cMKgGNfbinmteJ35WKL9UuM5eRP1VhoqGnRt+TQQHR0a2bFXvpIXU6ctxGn1HVrwddk0xisaIGU2MXqM/Qxbu4VAaNWv11iUEe3NnBivDjs+KwzPorOuYITKu4JqrZyd1v8P/xcPOZKlmX094T2r2bVeZSvOvYvZuDL+CNQf+c2tvpE3zauBSHWNS6lYzTSRXDGxWkdsE5l+1Z0w3ikCPh6ZxXfXXKq9bY9ceRSgMNYH0Ra1yjf7OieF/k9m81+GLQd2QzNTGXksVec2Q31Ymr2HCMn9FE7hxKLENG31Q9Jte2HKVLomcNlszZGZBFKg5qCW+u1dm243nSc2qeHNULvLSMe0FLxv6w+vjlPKstXg9qFM+U3NhB96sMQUx/g91zkc8snmnLpZujcEO+tIuN0vLRV5/tJFFEiBMIrjSKyTlBCif68NbLNrWKPybq2R73zQUdK+3OHNa7FZf5DSaB3NGZR/8Clfk9ucG9HsnUR4pJQDzf0oLdnjWl2GNBm5D58aNbU0+NMntsdpeoNp1yC1eHDC6DZW6FmQVb0a4kXvJogvLQKF77oLHcnVDGLCJdzLhb5kaI6L4IeneNXW/I9IcOLXf5hCfixSzaqhvsMjO7rHCdjXgBvw2awJWQsp0razrLH9AbCjyStf4uIldNY3/P9XzuYLRCKFyjf5C9Mx6pu/V6fWW7x+Ve/ZFYEVEGP90Kwc74ZJhhsBUJ+MOOvCeju2KO+WIO0v2O8kKRNhY8mKzn8IGLUmTxrtDqmvns4biRcpJ70GKp3hKpypxji/YsfaK+uoKwIAR7pK7JUq489gh2TSMkG6qWawozRDvp2y1Fc9PB65ms8vlO3U0Y2GerCahYA97UcnNHZ4ozZR/pdYNdr58uylbzKBcPz0Vozx3vlvvl5ZaSN+jVgcpVS+ACnrx3jaYKcRHhFdsWAvqMfuK6/LbUnUI+OiZcT2rYPXOZQ3F6BwImDT4wd3lHw4QCCVFYMn/KiaGYHcxabmTbsaimo5Fv1p93a7mqBoq+JFc89epf4Mriu9ghSOXUWIqs5akZPDXu1Rst4cXqK0ZCNuTzVoYKO73Pw1na9d6LPVPrHeP74Ah7l+zAKzLTN8nI1YjI9eGOJG8U28nrzx5Y3vaMRjHF7tNHxkD2Ds6MPVLrA/UkJ/IRQHmkwd/JNIjkQTxtBuayhMNYAl7Y9WptLtD2lVEiw3E/j+5q6JdPeAD3QHTdWdm6jLPFo7K8hOdw6YYMpdcqM34F07mfE2kLqvc1dKFAQSy27jvMJj0gZdNHkaniYQXoqe7J1iO1TxeEGnmkOo8gXQR5nxr7L4w/gIyPXLtdJ+6xFHub4SgqLOUoIiDm8BivsVTrkVrRvLvY+X6jgmmywyH6YsfdvScfDsQvr8Gu1oYrQhHFAZ6YX3MWULmXYq79bdE8/XIg5mUrqZw4QmcvUdFV3Ydm1/kHm0dYGyxTNddn7uNl98UXuRhOjDwsPO76qXGuxt5SgeXnhD47Z+oNvonK8ShK0Ni/xFg2dyTDp/chVnOgDmuSn0Z0dNEnmbxZkBoi6+3Nl8/LP86mjkdU0GssFZiLaOeVj/ZqvSNrBZM4fEci9umyewnJds4/P0rfXdTtVYN3ZLGgd0gX09j1NReqiuL7TGEuhWbrd+PEFSVrNpgv50p1oHjz9D42Qw8v7EtnS3zcFL5Ro243+1uOtF48gRS7XbN7qo8SHvVcrBb8nmTiyVPLmxfsY+z39m6R8lFczGi3icpFRJsdRKsN9pZye2CLhyPs9Yr0e2LsLZnJbjbbA1uoE9zRnL9SffncGHoOFsuw84HhITlfLfRAuh9iDbhojgP3eJrRC6YGowZE45KewFQanuxe3VAvxo+6r1ihPq373n4cQMg9uXP205HqQw9Ul/OgsavdggqAZR1FrM2Y24c99Vgs5ymXbL+YY/BFky3fosFS8W6E6dvRQj0+eZEZ0S0HF4a3vvscEWIS86fbtdowefI9j3IzQVcqMNUmWuwPmXLpzDIfvTKjhl3cYrtWtyR3va+onX0BP9Z2b/5K9YKCtQlqJrvH3zdUykrFwy+MH73cO4rEB5KJNEQNfth8WlFNnUR7+Y4+MpdICBIBK8pG5qCBS/bsMFKz6+cHfKMmu9XpQtPHnkrJKXB7ul3fHUu6mEItRjDWZDaPiNTRvlLp3gG97lq18z0weQjTc3N2qdNgU4LeupjiRmWwJei9o4+KxjIq9jlh8m2lQzMeeVhMtV9WfI7mIhVl0Rr9J7LAJjUPC+0ZOzwnIXEJjCUkn83IP1PPsBU9ZFB6qsErqvMdaMcKIlsKe7/bLrUzlW0CtcKggSwnXKkIbinofiFLxadxasqtUadIRszrKfxKn+0S7dYLs0T34VRDMLNc31CxhyLXWI9GGgfuSQ052hUSdSTKdyTRkHMd4Ra9xhTRELiZentDJj5+IfO79Ukgai2mDtNyk2RvDtB7St+ArMz3dnq2Z6IGdQxo/miwWyrnEbmDvlqxur4jwwY1iadkZOv1yfT//H/i+CgSDQplbmRzdHJlYW0KZW5kb2JqCjQ4IDAgb2JqCjw8Ci9MZW5ndGggODIKL1N1YnR5cGUgL0Zvcm0KL09DIDEwNiAwIFIKL0ZpbHRlciAvRmxhdGVEZWNvZGUKL1BpZWNlSW5mbyA8PAovQURCRV9Db21wb3VuZFR5cGUgPDwKL1ByaXZhdGUgL0Zvb3RlcgovTGFzdE1vZGlmaWVkIChEOjIwMDYwODEwMTMzNDI1LTAzJzAwJykKPj4KPj4KL01hdHJpeCBbMS4wIDAuMCAwLjAgMS4wIDAuMCAwLjBdCi9SZXNvdXJjZXMgPDwKL0ZvbnQgPDwKL1RUMCAxMDcgMCBSCj4+Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQo+PgovQkJveCBbLTYuNjcyIC05LjY4MDA1IDYuNjcyIC0wLjY5NjA0NV0KL0xhc3RNb2RpZmllZCAoRDoyMDA2MDgxMDEzMzQyNS0wMycwMCcpCi9Gb3JtVHlwZSAxCj4+CnN0cmVhbQ0KSIkyUEjnNVDIVOB1CuHVDwkxUDBUCEkDioQkKwCJciChEFKsYGgAoqtAQkUKFkDKAEjqmumZmRsp6FoohOTyahiZWmqGZPG6hvACBBgA4/oRkA0KZW5kc3RyZWFtCmVuZG9iago0OSAwIG9iago8PAovQ0EgMS4wCi9jYSAxLjAKL1R5cGUgL0V4dEdTdGF0ZQo+PgplbmRvYmoKNTAgMCBvYmoKPDwKL0xlbmd0aCA2NwovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCkiJKuTVd8s1UHDJ5w3kLeQ1VDAAQkMFI0tzPTNjCwMDA1MFE1M9MyDL1NhcITmXV9892EAhvRikyxCiCyDAANPSDjcNCmVuZHN0cmVhbQplbmRvYmoKNTEgMCBvYmoKPDwKL0xlbmd0aCAxNjY2Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9CaXRzUGVyQ29tcG9uZW50IDgKL0NvbG9yU3BhY2UgWy9JbmRleGVkIC9EZXZpY2VSR0IgMjU1IDEwNCAwIFJdCi9XaWR0aCA3NAovSGVpZ2h0IDEwNQo+PgpzdHJlYW0NCkiJ7JfrcdxIDISRz+SDfJAP8tl0Dv31UEfydiWtS/5xVRrbknc5nMGj0Wg8Hr/rd3lVRK9gVa21cj5UR8b8N3OxYUVmLX2j3fOscvbN8xV9OmmerJgd0RWlM1tH1Pys+XY26IyqeW2+zNU6di6bLXrSr218PJ49vH9Xt9/sGeNX5Zicq+Rn6sNcP26Mm7M55ZOMSBkzJi3tHitbvp5OXzJ+1byIk/JPR835Pdt1lT7OZanzmt04uPoap7l74ixTggv1Bm/pszYuvaJP+nYe67aJ/1isk87u3SLx5NE3lxIk38ZB5aV0fc51GJn5eOir+afkjTGgZH4SpPl9jpO+kCPzcELpiBXHzSWpDQIOQRaWFAlFVF+vuMbJ+eCX8octOjAeKTyNNUufyqfofwPKiS7JuuRunujOwDi5QBI/jNdVsyNICyCmJmRTXLz7uVU73+EYqZ4cIv4pTpPww2RZU9Qj++Map6UoEIkU5nrqqSd1quEunTRBU90tMFRE0NWtOj2dlOTd2ZuXlG4lq1S1XNnLD5USUQJlpZDjzV+JU8NM6YrDd6xW4hQzxUk4wqhldqIAXVMX71KA0YsTfHmH+RsGmeYCoy0JpHymLMe9zCueGh4BSlzcMB4v7dy5Bsysev53wvOvd2FP/KsomyLDcaWfp1x6XuLMCepw5AJORdRiI0comCdEryiXNJTdJ+pWwUdrccpUTiU+JlaKEySjaqP6yQc23zjz55Zs5rZdTvBw7+amaqFHqUREgM7cse78NAzX1dAPdN/qGrUdFuAUEGgJcGx0QaRXzmxqHywmJaqwnu4yQwA04xLiUq3Wm3UnoqC/lAs3ZD/m3XJ38pM/z59cf79YFEXuKwSZhlSUepWdm0+nO50ef2J8bs5UqxID6CiIbtU73a8NQS4ckSPEJ1j2euektv/9ymohJBEdaSyx+5l35e5LI0KNyCCkQgOG1WCnLBXUizcIoLorP0VtnlZP3LhLBXlsOBv3wpaP55gMvco2Za22bfEQuU4GaAOoAekBK6BW939awVfMVH98Q1L1Y6phs2dwPeRz8a5QcBu2KLhpePQuwGNFhywzM6m2kAC3bm5lBabWwWG6MYnu1fi7K7enOkbpG1C28V1WNkgLcYFJTVzawp1lKRJmfr6K0rOUCBK5w4K9VLRAE+qHJ5uQOXPrvKMoQS0SnzkMvm/o/rohWPuS5K3tjm5L6NpiJtH24vJyqCVEMPTkXUsxWmeRo0BBxlEWb69PXnI33JOII4E49Lfv3Ca+NLYQCIJ/1W5WdaadNEGttFjejBIW01KsgXrZQxaQPHDXV5vUWFz+Eq7gpBkGxAH1Dj+hCrlFMFG3XvtSU98DsIt2PJZs7rEn/V5vQS2hr3dvpfLgg5seV8nif1tGkZONi0U5wSeRx0hpeQxLnzVde2rLXkf5bnGK/e8Y31s94wAe7KmFg8s9GIpbrjnjKiC797RKWTYLRIUIJ/mTZ4nICz8ddaf+FgQycY1vi+QaZx5rEiWinbTac90hIMJTZnraMJ/HNaBfG4+cgZudLqY4dItp2oy6BFTbvKxD46Zpvl5wSGwXaQrpSQcHT959pN4yiygtBF5Z04mZ4XpjyWMEA0xe9UZbNQsEYDSs8P/dgdiIXf9xjLKGzfovj3+yun5K347Bc9h4LxHkQZAxUC3mUsFzY3vA1HNq/sqgLl6eQeiuS+Cy7sqeIQOvl47aCtgzkLSKE2JxEHmoYqP1bNNmUo931PhaH1OYNtbXDep7Ky0uwsBdFBWsLqlyzoZbRDCXGL+e4U6BTBigtnKg8LxrG/3dVdJzKh9PbPH1G49vNOzP355FXWypc62ldxZ15wKwti3E2EKKMUspLJ5YdoAqtwy74WmhfmtLG01SzE4SnKmorN3HhVBd1+1R0RL4fNKOzlfK9hKRj73nN5pJJV6TFpMqwkrYHxiBXyab76DgTPRW9PSS2MK/UL8K8RmZD5StVcZu4sVWfZAS67AQ81/Zz6CkGu2LVtm1zd+yAinLygYQljxrN2F4j9L0f5955zGoRTL++C5OkZFmiInnXCda2zJ2CU8te+h0Sbzcr9uD7JWf3MzFjOGWXbXFX2i+m+AALcEuzQkiuqXBYvW1twSqHbiJBcLz2TGWuAJEfWlNjozR0etPVe0pns/jtBnVwh86c4elLzGVOXeuHrNSkFhF+LVNP9WRftfv+p+s+sPe97uerX8GACH/SaINCmVuZHN0cmVhbQplbmRvYmoKNTIgMCBvYmoKPDwKL0xlbmd0aCAyNjgwMAovU3VidHlwZSAvRm9ybQovRmlsdGVyIC9GbGF0ZURlY29kZQovTWF0cml4IFsxLjAgMC4wIDAuMCAxLjAgMC4wIDAuMF0KL1Jlc291cmNlcyAxMDggMCBSCi9UeXBlIC9YT2JqZWN0Ci9CQm94IFswIDAgNTk1LjI3NiA4NDEuODldCi9Gb3JtVHlwZSAxCj4+CnN0cmVhbQ0KeNqcvdmOZNlxLfh+viLRD40kUOXa8yA+XFADrwRd3cuWCmigWfXgGeE5iJnuKXePSia/vm3tmI7ZifCzvEhAiCpx+T57sm3jsv9+8/+8+e83//DTm7bppTjnyhsn/33+pxw3tTfn0pta28aH7uKbn768+bs/po1749/89P7N2/3u/Ls3P/3X9M8/XfqhUjYx+RSb/qG334B9Y7CTxtawqSn6Yj7i7eH4l5fQeuSp9Y13xXsDfrc97W7X4W+8T5teo5vhJ+DPFLZtcnYpm7GPd6cH9HQJHd2m+5SrQb8y8qSxaZO6791gf2C+OrlN7L6ESWM/DezrqLDpOTc74p44HD77TcxVEOZwfFyMqWdZ8qb0WOz63jCzLH2To/dmkh8ZaK2bHkOw5/EPv5vWsQ2IstxUORPn0/Pg02s/EOQ85lpCMT/wD69u7eynQiibnly0o/8DMesQy6bm5vNEHUeNxZGKeTFrXIT1NQs5yDb30pmLMFls2YRavT1aJ0JyhBI3vrdmZdY/MrcoVJzNmpqVG8wJCy1tRFgmu8mU3JjJ7FI3pbSn47kuN0raBFdzzAZ7+e6LcJclbl4khkLtbz8Rk61yEUsJPagxp7fH3c35M4HvdZNdDdWbb/7OyFiXN62GbOdrr+Or58vHIGKkJvsD/0icL4jM0kq32Lv97Y6SYGHjc8DRfoSPE3YkpV/IMZiRb3bH8/YTI7G73zQXSjU/sGeupHOb5BveJj344fG8vHotgt90uRvenDNKBIUsxyS3uDjZ08UR28ZVZ4/WYX/6gZlpkqMpVzG9eJtWhE92srsxWuyJmWuuG5EZIduTsbvZraywSK2afWhm1F8NzE60iaQUnF2n/QdipjN5he929fk8nC5/bY2b5rtrM+SY5+3uuH1HiQ75M8QGpUUNvWOugIiOKqtssdsz8y55D6nlIeH1yHtGcMgznkpdgM+MuIXEKk70O7Noh/2GUg6bCMyYqhn6D4ywzW2TWnbBYPdyLE+UsMUxK80elO3xO7No2GwZ3i4aoywGFzeiNbm8WLNViSWyLnUIkFd36nVVT7Y5d2eX+rBnNL3YN06upJ3t4T2lronNJOZDmsxX41WkdB/R50VXtMv19Xj4+iOBn0mEJKpFggAeG/1heyb0RRk9OO98N/DLxoQIk1py6NWgDsSNfNOynC3vg6zY5SE1quFJSrgQCsXYTL1soPTgZCksc49631SR8b3ZqTLXyMH+CMku0w0le7xsjajz+Rk8DsaWEdZe7lITc7jY1dqdKWs6bmLri0PxjbKmZcFE0tu15hwQoqNBx4zUTr0gMru8x8Us2IotXvwm+5zjbzgbHg+4i8nevTMzU7l5vrlmd+jjlvKWNBin0TUzV1rqOLzmtS6Ox72fZ1rTD7totLLWdt4HStETMS+qeDbgd4yil8QEib7aBd9Ril4QQVt6WCzZdk13gqYnIj7Y5eJepuY3JS5l5a/MyyTbHJI8L3a+m2tehqlG+ZlWHsD/yghpMW576SXJtZiBp7cH5nTJ8yA3qkDdUyN/3BHr1WSbmthrwYCPxHrJI1HF0soW+43Rb/NG5HWszSzX4XhLSR8f5JGpLpgFo7yIouAmOSHRfjZzvqDgFvlsb8Dnj4c7SruGQ7HFXiyeEtc4Jh6ear1XcqUo56DYqDHN12wibT7BJlGQe7Rb/XQnLz5wzcmaeWfX7FfmgWsQBj3b9aI+Wg6oKDGtTFev9XAjxO7sfL8zjlQ526m2aqA/kA4IkbjRXuXzs1/+osD2IrbE7vTXHy55ZcSQEBPIm9Nxs93vKTEEiS+aZrXzhmoN9XhHLN1MvQ7y9oRM6ce5bKJIsBYMipK8slfyh+uTwe4o0VuhFyTI7Rl6oiRgS5uYsofvWI0sqhvjbZfrJIe7VgvfEILbe7cRuQ33scL+Cyk95aOrWa8DpSaL8icWmB32G3Opgiy1792ejB3pCZV3Ktpxf2VkboS8T3aVd0fqpRFh70KOs+PB6MhyC3LDC6GG5FRkUXNT7dFgqddFlBBBRTsuJXpG5Mm1npqZKqdei+HWE0SP/uonXfF1dc9V0UFaTOyE5+oeTL6WIbAuCxsT5YobEZPQ8649TIJtoowPR48+Tf+DiTWJmSiP2WKq/y9lBUQcxGRXmDJ/plBEXOTmyvWn6g0iVbmllMy5+P6V8tbIWodY7GfvmGBTgOZQFwLjNTfT9Mo75LM8Lmn2DjMrJhZM77XBOFb4LfMuOLkMNcLz+4h9cJEzarXb9OpF6Vl8+OpVQjqBKAAL5CfmQQlyQkSyBwP+lXoVkug8ueRJY6lAUxRrzyW4i/Q672+ZNwXORD9ivwr9jdLj86bWCteJwn6kJC304TLfYRUWvBweG8EiaBzqdPwPSkYjKlG6/eb/zagbciyrSFu7wwfmdEAPd97bcc8fd4cjFXESSZ3v46j6iFAhJ4TmWgjBrNiWwhaRXkOnVQPvbxkBFLuYLqHZr/5y6X2ZEJnztZTGLrRRwZ2owtlM9Xb3+fKbVnAwqpVWjMYRqtvI7bcL9P5wt7+9LsLmxLh1USyuMTQz3VJGBAMhwUfwmO77LRNobn7TWkvYHjW0CMpvVJBNRE/qiM8r+O5Ixdjg0g8lGLDciNOO0krheinO4v+bipPJi1xH8pZatbvd6bzmvA2CjHbGB9J3K+LHWSzjuJgge8TIshvFuQDCpg2rQc11T3kAwibFEarW54PxQsrhSHl5rN8fjl8I9QOxObECvN1eKhgR5E2sYgzHSYO/XBYBEFZykfviNux3xw2jntYAJ4/dpH8/nBi32LMcKD3JrQ69Ex8t1o7c3yaqg0aRwuMh7VNjISsv5V2MrKdQSza4E7GvYuckUaQX2MuzlHPoXa+hmFlumQvQ+0a0aLE4NHZ/eZLelU0XIREM7DvjsfNwFbZmh3xPOheiKHW/ZUNlV0TEyDE0495QmXw+1k2Rx7oa9GFPKYNyX52Xp0SDP1Jhy4wsM0Fo7DdKGWy4arPjxNvccl1Tcz2+eXWlX9cFa5fXy8fFSm8vqhkTfKpONteuMZUUi4BBGBdXzfVuRbNxIv9d7HZn4I4klBs5jrWIymzQrBkIodpL7XUhYz4cd1QUDWnEztc2UcJmkerQndzExcFihHlD5mOxO/xxt79OmLcoure/ctlq2ThRg0M1+CdP8okUBzFknyb9I59Yk7S5VMwH7ClBEkQ1q7UZ7IlSk5K/z3I1YCaFYfJiOTTRCbsBcykMWY569G22ZxPvB/diBYSaFzv2jYkOyXaXOgSgwmo/+OtL1kf2BI6qgv9AJl7VMHQAvWKM7fIG0ZYgB92sGOUV833TxKK1H/1x950yLGXF0pCjCr1jVMskdnyyE/5EpV7JQrsYzX0Sk+VISbKA1NqmZzy9pfKwYWTKU1Xtcs3zsC+7Aps8PMmu1/erPIGlit0UHvxLpxMXWyq19iyK2wx794UJLLVNwsnMalgmhNbEDE895qaQjA7ekKQir1VRSC7yCGs4jDyk1VEXqqYoXqk+fe4VJUz3GVt6Z2ax8ItCJ4ga32vTq0S5OqNcILHNqp4pl99aNgiRVHUeKB+pvAtZ7l43x4FwU6Qm4lG0LoU8UE4KUUxjiUWfh9sDmWrQSgj65HNxZN8QVK1BH/0Pn8jIuxwLp/fmV+oVQeJhzy8s8GpuF1yENSc1Vcq56EUY1ZyDGnO4CJhokJjbtem9efmlX8SCBBl801Pl5LDYOUEUWn2Aubx/mWssXe/MDZP9ltsIXenjcEf5JlH907I5SavZZ0GeCFf1flKptg8Rp6gneXh/VeJDKXEj/+K+yJCYpDwyUXQgH+fI71zaWBExWMI0A7IZjV0OfckIcM3AlwtW5IaJ7PR6iidG4soNk6sJETb/0NU8Qh9Efjn5JzVBsg6hteqantzF4FmUrc8e7/UzhMovEH3M5d7UWFTCIZILGvT9B+R4OH9iVf1aSp0PyTlxM6pavAL+HGP5TGXgxk3qyakVoiyT2jepodxoNs/zR+rB7VB2U/GvHLnXt7OLKSUPUZ8DmYoh+BtEzY3qNm6//kAmB4SYzDzJAFfzCFLNxvy4UhYVEJvKJVCX0dgeubimpMbXLRXNlwNbMlL55kf9yDx2YjyIHq1v1/aF2z/P7ijwvTSvxM0XytiAQhpdmq5dmpaQixLUV94naU+09M9hk3sXo/Kxzkwk8s2ZOLLw09QyXAfqN7aUhA1wuy7Gv+xbQ71FqzXKUVAoSkF0HZ8LsaewHy6/Id7D8pVttQtFaT7IFvCpVm/QVHZUHNlR3i4vQthc3B45NB7ms8K/PxzJ9NvsS9AbNJGe3gbjGWq8GlkZdtMlEZrycGdxazZpKRpEq7bHihPdfdNEF0tmvfZkuYXI4JwX30yIGrEqa3FQVM0+MwpnSJsgJ8xO+PWwnwn9i6Ijmq6Fc5VxWYxLV/xs0hOvuRZk7MYQX9nli84VEbSihizO1+FyMABiVizaZDfp8IEStaNSA6aTmixzE0MH4wPyK/XAPxC3YSaoxYrysT1gX6ADUZMtciBjElva4JjIB9z4NaCU+Ak7sXwgojqV4Bz0GDXuxy3jJBFrWoROM9jXDvO0TCcLviOgpuBbSlkMYi4GeSQsmHLMDi96h7dQLdjur19XHrQM9pTm7Iw/UbqxyMkeo8XerKVUVBTveD9p2JlM5woiquxhpMKdtWy6895iv1K1zgFivdqdpRJX5OLG2sJvuAfjJSqldLOtKwvcUR/tur15MFtutmeK1kbGjXGxzJdvfPBhI5IleIPixHHIoiykGs1UOWUhxAZ7IEYz9PnjjvK3DIIXb3f3tPtysQgDz0DOqIG1V5bSufvGyXcXew1WfDUtb0Q1yvGl47Q2z9bl9kQXF7fnqgAnElBrveKhlhluWq/dewMerhfG8O9IaWo15kn/wB85WgnkvODhVNjjgXE6Ij2jerFu7Kd/pERkkL8FY8c+kWUYAdVFBstpVm9G5VwfPuVH+BXV3XB7DCeC/uwdFdxE+nvErVDgL1Tpm988ZAsp7HbPuj5iruaMcKVvaSTh2F1eMc16gTVor8QNR0cjMlakZVscLCo5OCHQH+z+fKMELbKaS4/mXFDJtgE8Fj771795uuS9j/IOdoN9vSpi0g58scicPVM72hHfXbUHg7Mx5CY40H68ILkY26o1XOJqV+znGNx1UjfIzfDlHv53f8xPjI+vuq8tbyMqBnPCEzn/qbefGI4bzCLIq5MN+B0jf0WZ7/K4hmfsvW76+dPuPcn56DJYW8waDNbLCWtA6shx2D6vLeVERwJQCCFPQvKvLeVF8SjqrwstmS19+5URjyBTKS6aObzdHUlzG9kf0bsWzA9s9xTxjvdIkYSxoHeSFDu5vLyH4xxvjzsqBjiiMHGx9JcVtdjB25ebQd1SBE+QH8EVb1f9zMUP+yam2s2SQRfnsuEa8s+7PS23P1D6HnJIcrDTPlOenZns8Yj/5yfRtxqGgqUl9iwCxBrK1YIlKIvBDHv5KW4RZe8Q0wr062WLBeYVtDP/5vrvFCOruRRHSvYDlvbHeIcT5eBnUOM+vUgXBYgX6ZNRaq7Ar70Jl2l4GgJU2c7/056kdfChFgt+R9I6tB7xGCks/SbUKqvvXJjMGjzLE65Uwm1iBvOi3sMTybSQQ0SARk3hSRK/TnhQN7gbBkc5iYbi13uwl2MlI9jLfRwV3dcfVZSDRQEUM+LX44GtBxs+Vn0tqaw92cs0nip9RG5/IOt362BcM6vMpTk2JLcH18yCUaFJEUWldnssKGaaB5HrZc4OaSe5F0PGuaLjZQG1BDeVwjMv1SSmV0rOwzBQ4APFtCKKhbyR45F8RF/hvwG3DSiMvP3wR0G2lvIV8wZ0183gH9KnyWqtFmruLy/dJWN3VD1PdtHItC/vUtJfPQ1ViAn5hE3zyzW73R1XAuEeiYAoyddAJncjBISlm7eHZEeKku7SfNz7Us0N5eHrGzFfgp3tT4wUSiLDfMadVNjXKg9fyKkqpVW7Xsfdaa0Uo+VNkYWu5nRwcuTeWWcP5IlPrRI5Indi00TyFyO0L6ZXwavhkCKu0cz5EAMFdfyyVhpLUU8nmMoy72fsQykvozaOJy6kbgZm1CBRA0V3RGReYyk1GVmUpYA3TYNZ+sZYQB+vsdT9f+QDi2a5uETijNuUXt6m1+NbIuRFaCWDuuECXGJ+i+bSq0Hv2Gzg1iDg9WQpLS+hnicFO/At5c3MeM5RYaLBLxvM07J6uNUW7TJTYaMqxkmo1d5h8kFtULBby7/lcDRk4pfFenGNMgafV4KP4uWLeFHncyjn6YsDdv+MU9VnogeIChTND2zXoioJyQDgPtPLdSAzhOVoZrtce8YpmkU/lj8zKy4nnSHmPDLEXh33YnUJMlzapLFckR2i3AgZW4E3cUGvWstCgjDaLV7TGl2ykpaSPrMnUb4h1vi4WlSx10PlNOTlI3piHe4PDXOqHfmZr3a6XNvSApgLNPi0Ia5Tr5sYC6xFDf7pIyWAkHjWU7ZoXEbK25rFVK12xQ4nkq+hJHnOzdC7W0piY7PE5jVg1lGO5NuYmujVGn+5Yh26vIuhyo3Su0wSL7YecJMV9rEuf80OQD4FOKA1+ma7J/O3RCWHxFRoiiw3jIS1xciUMRAryBeqOR53XB8oVEg0+Wh7QB4ex2mdYyvWHNNvPCEzWYJqdLHB7vH/dXf7YXf5mLS4CUl2Ok8ayjiiBytC77FVNe709kzdKaRpyyEr5qPvTmtKHxydaG+gcVQ3iUEd61Ejp8EU1w0kiHdDcD6CJya/KCGdEZzZekwuXxZ0Qi4U+8HUMzH4BLO853bob2Q9cU+1ZjPb12qCXwp+hzKHzxwR03pHhRydbwZM9XSC+HHVHg/qiUFNcBzZiNevFxKG5A5Ws1y7d1cwV+MGp7rpHQm7QP+fO0Z+VDheEtIpNfrEpJKBgynkCoNCgXcrx1ouf25Jbv+kcSOri7r/CeaXn300b0HJHsvRhKBXYzMqLszUmBCu0Njz7rjj3uOIrj8tRfMDn8hSoxJFwr/+4Zebq0D3MgvGRYhF2GZkgupxyV6DyJcKcjHskpEhYrnKORvszYGKD6MQ1ftk78WOJI8Cb4ddL056tY2YI8EekvfHp8+eVoLLZTRGUfB5SOzf9odvlKswiTLlq12+z5SjELWipWQrF0QroEIW90zWdug/UQmQtWxSHAqRWnzKgBWR5GPJdvF/pXoPiJYvkiHZA/MjYcE+SmE556INyql9vJ1cOgLYt3wtOU4avuNYrHOQobMeegQQp/sT87O8Ycfd9v2ZJD4OEZU2OIOzX0TjvPe745HrbpqrSByQDOkJUREQEIPl4ZtTWK7IsW9qDsHuw5ZjqvPom+fsR//bn37+HeXYx7uUQ62TxVNKgMicAuItvehrfaASXgUfzSdTBdbRi5rWo10rzioejeRKGQJWbxNp94BkwIcwmy/9iMNvE0VBzPa2UdccLeUCFESF/fPlhPDhsCnJjth+uEJFk7+CmNal9zym2n/hmou4FhRY94+59AZUEWlyDXM04BuRBhSHFkyt+yIb/QNbKiRQYeRhlxR2T3r1U+zRrNj2qxzOLaUjJjT9yS2YwT9SbYPFWms5L5acsroauEGh8CgsFUMBJWr3pRrs7U4E9xcy97dUL3q1wq/VWCCJQ3QOu02fKHNLRJ5YxYs9/sAStOXh1NPrzFlcEeGM2Owu/UoWWTiRmsmeL4qiM2UwGixu5EqoOo3JJnsVb7mmnbgOKXrmRL7gYKqyvd7M9TtZWVgTGo2b08xkd6FGENmhVnYwndFG6gk4aAx29+4aeTtlOH5do+7BQx8SyByF2r9nisDFchcruuLuKvSR60OfvfxhR2bMHKT3iC2du8FuqZROEM7HHODleUTzZacww2tbTvkd1R+5gzcqJIPlKErb4KqtLy7XpdZP0WcXzaHYke2XQM/XC9SGGXziMu/BxZQiGjhc/OKXWJfFFG0GdSA75oEgKxvsGpc4OqGKsIBsUwfiE9lnT1Y4FXuBPpCxVplwD/Ycv5zlNi0Z+Xz0Vx0I5PDA91XNgaCIefH4yPoWexz2bIWfnH37uWeS/imFVOy92a4FhTvaUiR7+Pef2K7Po8+kmesHUs33AVnjL8niFVUdJEfNubaUyMcfrwhuyF8gIRpuTpqWWpQoBdpysVUnRwouBIU9X874FvkfYvDBwij2YuRlyUIh/KTAp8Pd8WZHmb2gfA4FHmT1Cz+wvVPd0P8esUxZb4io4AnRjLjXtR/TJWE8+H3MFnHdTu7rxL2nVvsFaryYQqjmdNzuqEAy2vmGPl+tcZN2ZFTERbTBMmt2u9vfMH38kDrt0wgVqh/YUb4C2TEU+F1/QkIEdUpt3t4nKkEDxb0VLYT0glFRlYR6E7TvMvP9TGWz5E0Izdkj9pnKZoH/qi+kADfj+4BuSGa52IKuZ5knSqFIz/pwIe+ZiO6Ou9OGjLC2FFx+/pWHdAswXzM0yoMvR+6Yxv8bFSRBg88omoDG/okkUc6hiTassSuqITZbxK9dswPJDOQqNGg94kLRml7g2MyoudC4E8V83II8NCi8MOAz1xBZLH7Re+a7QwhtaGguo3+pHvSGjKx2MecslvGMToNPoaAKW4P/THlVQQXXnd3a9stKPw1UnIu4NkNS1dBge0VfC3sivu+3Kxopwr8V3Pga+YnUs+Tkh77YHS6VDSlKkdqdV5Ws1CAzi9qdVWN70ijPaFkOfXTl8pgR8y/EXEXX8qXj2iksZ2agA0L2okYb9N3+Znc8bz+R3DgtIfNP/wSlfAT0DWo9PWOna1gxXUR9mB73O6VuwU2AtFCNfbX912SL66or1S4alSc0mq2hd5g5J2cuCoXYmHdN7/bEBWTgTO0t5/biwV5noMzJNYv15ZfLYQbXNzGINWtwP5CE9mJ9h2ZOx8ctmYJSIlhn9MC/UpVx8tjH3uydogjtxRaO8nza6/COpLSvYhmao7HbcZxpYpfCtNQng1LR0Gp1cYHPd7dsh3s/+JvNV99ueD57CNsqH1HyVWmwpaNVQ4OuotCnHddwLSU3duoRPK2rVg3V6smVYIZkYrkdbP9i8WSDvaVSfkddci8WTFHGuCwI5GTrqXKt7SMCV83u0PZ0um8dMF2qYBZTPBogNVnk/KeS7KDnj5w+CEdjG9q+mi9NIvFA1NvN8Md7HfhinzU3Eu7MWlH9f0VU+l6qwa61/33kh9QzPexPH1eQYJWWZ9uep68MDSciRugJbSf6jplnhrrTgx14x8Z+Yo/yeirsN1bK9dQW53G3p8hiAnrgufzi9qwVR6SHrtAau//xiuIIWWqZgHyA7PXLtexvXgzC5BmQbjRakTfa4UHTg54vhwTbYAAM3cIYT9QkmnqLPS/AYB2+Ww+FuN5bMlPdHblICGo4Ix4CNfCDCj2tJwbBsmoGfZkOGmpgzqBH1ag9SxYjRyrW1hbfzHX+GN3LuotmvTg2wIce53bom+OOctp1sHjmZD+c6kOZ5EERaWdP5YHZ52mEGkRvtweM0ydBb19TC2bJfiW5cO8p4/XADO0AeuGKmtLt8dpSjruK3Mtkscfd9vb7VWHnlGHkpQc8FbKWx6zWArGlsJy0HT240ElXgxcd/az8QasWl1OyOEb8iDkZUAJvsCtl5KNRSxj+mEfY9NDR7/YHsrebTznYdSKFT0Lu13BLKjTVMhwhtBrwHuodojhiqiDaYrFWxDSahccAk12v1SeyQ6TYFt7u7X7FLQkamdp7N7DvlJDtiCMVewzfH0ifpHc+NzPZmzvKOgmDWQ2FvnpsqtM3olFirQeDpcJvKP7CI96u2lrkZvck2qQRFVSOsxzE5lAIYKZKkY5lULX2ak8i1XqowLGZncWuKM4FN7bHYKZKRo+bbGt+6bZP14RC0PxOtKVXtmZ6KfxrQFeFfyeNvbxApW1KykgH0Cim2gn8pC6j763GnreXWeREHZJ9SYtZUvkAYEEUo6LZaVI7iqQhdOrSs53I2p0Ch08I9qtXiaoQj8otQOPVu3pm27WXVu1irdfuxTgsoEfUFalVGcSzPdt9fQzqTxRrAohCu50xl0/jAjoKtH7VlJEMKs8cFKBX9mfNCdmgx7RglozT0gdBV0CHKj36gaGyHN1tKjLKNfiVuP4LtDqhJgRQFHqH4PyVVusTtQjbORbxkJTRJeAJS1NZoshzNDLVw85jxNMFjpuW5DJmA/6J0LQbGiKiRFJDqbZQbajKLcsp0x/NiC4xmuUZiWZcdEBi+LNBcxy8Re+odoxheJ5gBirweyqbD/2eEvizzfEQ5ehEihPX5ZUxS8bJIhBo9966GnyiujENAu2K/qBmYIq8oMmk42LFVlMYu9uI6VuCmewnsvBPZGa3F0KeNoa9AF6+GO2p5kqP5VQXt1gorn8reohlEEYRA78gc2F5ViM9rssXmckvUDk5/0AViLjExPRIkTPSYXgr9A2bAIdMfpgsCn2mGHHRKq7kYZBqNKWP+HFC0zOWjxMMqovhM1fjkrypYvAPbnnz0SSTPypje08GzTH5R8QJg/1srocc6pDr6NWgF4zqQY3KmuxB6qiH3h45Kn853Q6cEWa9jx+2e2rVupgirnq7an9jItETusUmh2Jc8/FUwFEM1Brml+uBj/Izmalc5cPtd1/2A4CcOpQMJ69eLspx6DbFx2w36tuJpKCS25i6mezfk4nKIO60Az8v1OVOWIJOeXG0VxphIajq0Bbx6oUauX49N1fNXL+t9U2BFyt7uzdUzdVMUov0ysk9N4JnOBEdGpC4aNG3KyTaICQtDWG3R9i9oBQFhlLb4Kgsw5OthmUq1LwT00/WKBgs9bYgmlvrYrGoTjFwVdZYnR34uKa/xCybGpGaoBaLC+XCw9lGqEINSonIVEHOmRabSyX5ZDnKpSzmetqR1SqxF2fhW0rFlJE7+Pj1ch2pKtGGcMFIMVADf2SWCxxGruaXzuTaaqFOc2RDKigXThIDU0zdNGnsf3Je0iCQ3vU6T29vyPSiEtHswQiOtVa1olE39Etirt+ixLNsXB6eFwUOVD5UKmLsjYdPHYzDHcVCUZBclKo9klRCFFx6IYb+G47GqJepI4NZX+Bv17Qwn66XV7OXISLPcQQBBiUXmQVSB7EOCvrn+LWyWPR1SD67ZFCMMtrqPbdMvTzisuYxNvBjP6Mm9vb1vAlizSZvRjxTFPLQ+UNvPhv07d3N7pbKjB8vg79qukinz0Ueokmj9mQRfYvgstHY/9zdPJQ0rbkORt8vu7fc04vKVvlsu7nx91RzmJHtKoLDjMzdfYegexcdVJ+QlZiOl911yOg3Y56ppBcYZVk+2aApJnP0oxoc/xq7ThWLRtd+fmMnPjSTQbAgcHtxb3b77fETlSOUwNycF8fjdJUeGxvMjfY45yOZCdmaLJlFf1jVY13OLaRnGJ3VAG6ZkmIOZsgd456GvpCh/2rsSksYOY9yIEs1qD0ZavEedaZ6pvc3n4nT5w3aK9mxKQ4/H0Gtu/zw9HuKgAMRbAQRNJgzcCCxekKK/RUrPViHso+Qk2q12MAH2pyK4GjNHubPJAVHGG5HDX6FJm16gW+sIHSh0RQDEPLIUlwsNZeaCL+Enx+Q6RrC1Ta6uZuDfUPRoo3O1fabGeIBFAWWKotlsP9N6ZNg5k89Txp7tztx0a0qRyymbi8k19JkJi1hwufOUwiVhL5K6NI6hzKZqxCyFflFCklRmiEBLKAn0hy53Z8YJbgjFzqK/NDDUj3ZvGujxk1BKdUMXQiqKKPcKpkKamjqUc2Var01/LjQ8dWmUi53+AlCSN1rLMsrXUZFXtQ7y5VLot18aE3Nlqu8hjvFJ/PFh89UMDwjqaPofT18+E6Gwl1p5jjd7W8Zp/UEta4M7nB1oqhGESgkTAUlWw9YXkAi3xw9o9SoVN1zauiE5szOfv1C1T0jXw1/XXvfhxMVtI1XnwowwaU+NKP5qSA7CuaOGLSSMcfddcpnli9/asEIAts9FQ9AT4uIpOD5D1DR74qE/oL3+h7J264yZBVlP6gx5wrdtNK6NMpqd4V+zYsz2XTzJLpCVNBMFS2KXYByuGmO/D2FFP21Fb1BZ1L3lCfe6VWi2ueg0DEmdJOYQ7+Q/EAyT9nMOXJ3/kiJ1DqaG/SsD+OBkouyMz6ZL/58ORW/oUi5RT3cK7L0hQh58hHv+gxLNrIL4Eht8AfMtxTEeNNFG9fLNXctcTdtMvy5CdGkOXJ/WOmTlQd7LUTZ9csDNm5548wUqW4kcGQHFEjMoe+oapu2aS5XfVV2V+W7i166EaX8gYR/x6VKlpxDlpM3wzJZnYiZJdkWr5Cc3EY3oDjsyhmU5UlDy6aopkp6DFuu6G8+R8JfOFE5At3JXdOLRHsL0Xlk+DiunO0Qnj3ncvVsoVaC2F1vK94YylsIz6w5Emt1QWHTs3N6Rw+sPtlShUE2g5bfkx2pEpx1ek8pgQsC+FD193KvSwdJQ8t60O1f1wseZX16ULM8fGGzDhq6rM+hTO4pmqkMpkv1pVziaRLBEIbxppaWSxzwcK5P60v7UusqeSj0TTkcd19Y8gwHFmW9TFwTKNFtYlk78ApTN+jCdr0gmumsyGeu5QprUdRzJ5IEr8scS1qLcO660oMCkwyT6GqdnTym83FXnmAvZz6gbZIekOxH3WJE2GCG/ECRUoqhV1EyPkdy3U89Cu16K1XNkrMRR4eoMNx3M+yOlLbo+a2/+DPZCrC3bObKddJCFlYVhVNNlePyQLQgoA/FHEpFodCbVjQyjaRiUGIz1dGPao4czxmT8uXl/U0QDOqDL4vrtAmumU05UBXX4DetOetrVn9P1TDhvY9BH/vtniRZi8X5pDZ0+/UrlZpWwLMQjVi5zJWI2DrsUD3Nmy3Vk3F4ToctwO/IY7LVdLX0mknc0MCMen/Y/8oI3DCMUKzMDLr9wjXOdgldLObIr5clZgtwrcmbMv9OTi2uLWBR5kgmK2sEPMRU7gp5ohjpQUYEgTcDfuDKhxqy4M08fyX701aXitlJ5loiENaaKG4KSjlZkfRfAgydGZLrNiYTBR+ImujtjqQ5Fk3KzJTRg3xGU6ac9ZE97E/no2o1MF1qHYhSFLVOHBO8Q5fXnvTQX6mkpijmWXdPt+U+pnJm+3UkebftmSCcrHHwniBvZT5Xigg+jg6JZn9I2vq2EWU1FTVXsoIEYrcGdPRRu0vRwCPFp/dG7uwrfEfRV9kpJCRfwUwzIWAvd8/CKfHdyib7NNbrETzN1c/VlFV53jxmrYe+1yan9fYXroTSDXrFGpb/LUDVoDhuuSLSpiYxnxSWU3aG4R+zWP5q6Gm1RhJ8uLFkan+mpdM01uFWVuBGhflB340mMBr7e7K7YR4N9/S5GM5/6iaO1mQtQrKr0S+zJfnR271G+83fGc7jDh6uCs1n7TwZfiax26D7XH2egpevla215/8/GVV2tHRf7s7uhmUqjs3bgddyoeS17a3VNv0GUYFEqhSauezT207lqcrDmUatrR75G0V3gobdebHKOypcBzbJ2O0qf2BZikEnOV11nkQ3FTPXDvgr+YikijbK1EQn6+EOfahgCru9zsftEHlLD9ibw/6GuepoMC6fDZfzI356sVXtsld27og+vNHjUpKxN/hRe7JgKtAymmVHh2INjb5d53TvHfwoeqZsjYdHuEW05WiGpWo84DUstcXfslqjOUdF/2YGvKhcCHjnEWlX4Pd3R9FwjmRCv5xQbw4YVzkhohJ6GerW5/Dp7ZZ08IopbU/JkZKyUUw/VGEb8Md5taj3my63Tf5fAD/906zaHSmgqbl78N/9MT71uAzE7+ByVd9F4ZnU77z9j3/+X38g4INOoiOzaQ6f3v70z//EoCN60MnlfmMH/89//sN//OO/EMd2tg6okw7+qW/jwyr8RDwBCNq1hm7Jsx95e0k/nv1UlT/D6Ig9B3/ckrX0uXY5+tMc+4506/bsghp0t6OKuTqqZr1CUjkIHlnwSQ953N3s1pLni1jS2Xc1x1/XtFoUFcGoVF/JdMGBOzeNLlJz6A2j4T0x5M2RXHYgqvR7SEnv5Ccy90Asb3P4KCYi5GTVEXdWW7Kl3LLyvYPbVZ28z6vKrBgo2atJUjLWyd9NTEE13PZ85pgwAyjPRN1X6PNlfp4QRVOS1dGbSWmi0JOc01vJenLbKNSaI0fXYiYIBj00VH2/vly0VsHtlEvJZlmpb0UYNaaqJnkVRd+o73JlpthMa/2A5pAjFwKQ29FyQxPKGXalxAChyNHBYgaRa7whdgFGnmhgPc2xP3GcAB4LCfbTGZTjO+7I1e2ohL4OiCbDAe6gGfBhWVdztNKmyTPs6WWdRlOR3GvTy0rppX0Qw9YH5PTgxOcICxI6L87H3FL9jeQ6oVdkv2KCddSFVrWBe44dRm5TdtH3+QzPbJv0hhKg2ZgfKZpOUXqRBez1pVoptYeztid9E7ekkowc9qgmyHUpRhLNoH5VH3qiuFvl5LjSEve9ivJZBi3NDHrDstqjd9l8Q0j3bi5mJy+LxYfGbno3qKLee7lfFPBMNndvPeqb+I18LkLX+3C4Ks035NEG+YGyg6mNKSJvUL6YFFbk2+nvOY4rEapilD6ip0enw+7r+Y5zMkZkFQRs6ewDLgdXR4FpLtjTGeZvjPoZ+2guVvVSndc05b4Bhywa3D6jSFYq8JsOJXs+IEUMidLSEoLT+/pardYLeVhxFB+pgdeUT3R2rj1MejO4WlSXYwh6S7ZnSvUEBWEp4c1y1FdlD9w4DoFZvSWMPf7sLIPSW1peWvWe+BnsTi+1vnn4lcmyyr0KRG5UQdHhbPy5KTxdsuflzwjaGgX+x6cr90nW/BPFJTgTG8M7Uy6Y9a/Lnmez/vlH3rJhL7x3LtauwCseR/Q2SiVXhWHS/WTZM9awKSRjyHURNyEW6Mcz5GPh4qX8riQblaY5iso4gbbqWoMmMINSKRmgEIVH1iwPk4cLksVkNoOL43ek58eqJnqzJlPLxlWI/Zc343WlM6PVUi5JIT9T9NYFvXScPjpUPpjoK2LtlKcDcN+xaLenMlQRRxP1qug9EfC9tJrWY/8R7AYK/ROVjIuKex+G808d3P0N1cx9dPLU12VHRorkOISoVusrpTsVNHR0Ib12fKdLtVkxuaw/l+rB86jp6RWmSt+QdVWKr2qm1Bq10azYnH+q9E2ULtG5ukZex94KV1EoT68mcwXAM1OrrzMwT99aQWNQnB34lqFvRe12KLjuCnvZzJQdleEQWtIoMqECzVwEoWd64jLNwDXRq11iYqYgbZF3zUJvVgxqJ6pBqNnOlFO+vciH2OtiqjcceQKafMdmh6ZIvEJBEWaw27q/IQlm6ihLfHngy8yQHQzt1Q58InlmckjzU3Uv2o4Hsnoud2hseuRfLzMPoeuVE8W828vDMZb1jbxbvtnTsWf9JjkurvzKww4SED+8AmrILyyfd0enIY2lWB5cRWl7ttjDkXp4/MhibGaqnJs3NDDNLzb2TDUlzPL25Gq/+v3hbn+75Sh5UPYgo9sTzVGXwVlRs+uL8Y9X+anRF6O59LBsNBdX2cSOGohn/P3oTE8BOdny9oZusIzHRJ7t5tGb1WBXem+hv5ITPbdNGsbJWpxtsSH0XFdTz8BVL3a8+dC/banUXF833qP3lkavDOlh07lgJqlta+JEIKrQ4sD+gcklj3IRPPi750im0KOAA6jKY6KQ2+MHRkI25D3XmJICv+P6S4hegnTeByTdjLvLB4+sSzXmLdXjFkG+kgUyh3JEn7KvIcHtMIceOd/7Q2OKqua623LslfJsyvYUvcQUd2VGiz1vgK+F/Scbm+gyZa+wN5zTDpkStSa8n8/Y83H94RODK+n1fXdHsTwg5z91p68NZeJBhRO7XV8brlLd4RiGrGfJllwOxi51CJl5Ri8GU4z65J85YxYsf6LQdLujtLN5erad5j/x43VyrQyaCEoXemof/ox63VU9vdIuQ0OpJiNTFdnk5MWpBs1llCf0mUIigZ4rRc+JN7Inl4oZ+UklWE0pb2KSNJcN/meRVO+5FhbI8S4NZ0x/AdXCAuUhtcdkwH+mFPwK7quSzLoF98sqLVuUZ9pO+Qeq+0TeiIa+wF5ua4+G4x1NUSaNir9Q0hFqEKhQ5+CJav6N4hn5ZDzV68v7QjqNPCPRYr37hTIPMnq5FHsuf/7dhmQVrt21aLb2P0hpmUv39rsP5/P9eZ7WCYKTKI5tfYsnE9UVxdEejNB/IbvqyvvQszkgVHEWsl3QZrmbA0LTDs2lLQi7RS2cC5GJ4fgVIQ8KWo3fMo5w1C+4NBR1Bf45hsA1vL03EgycKlSETeNAzfOEHcfsr5ST2qH7Tu+LgW/OlEMGLm4xR+2S7W++Uy6ZLuoWWnsvFi1SncET+sc6u2EbSuyKCMy5mzX7d4qVvTRwasVoxv1OtuqoBbnFZr2pRwp9z2Kq9pDtqE5vYpiJLCqLvfpMpgnW4LM36/VnSgx61Ak0u03h6eG43MCyotbGd4O+SEg2LStJCtJHl4KB8vSXTfHB2e3m0joeaYD1um2vI7ZELRmYTp5lCsdtIe+89w4frH/hG+MigkbnG4oeNHil3BoqchCjfHoJtZ4ZIjKwJjPi5cQOOBzd/dlUqP2HV1LEpiX7W241G/iJdGaL7tmTmeyZZBEuvUDjVFiKPCmCSgFdUjT2HSl0c4PBqaBsAbUY9LGa6f660hgZ+dsy3WqP4X533L5jOS5DRJyO+OiF0BRFOVbnl7cobigdMKLzabNj/4EtwW5oCPqEpRMQB+W6D/b2Mf6eUb7dwAWhsV8pajjkdKNxogHfkIXY8kTJIxfMEXkQ12vtdIu8b7XqrZrekiTCETzrye7zgapaR/zO1RoXkodYMDlgoUQXf4MAec4qGulpsc9FPOkPhzO+yBWLb55+g/AywFsVwMqtBz5xnEe9R9Bba+yW0ULQsWhUk2rs1xPFCuyRJNB8M1OlHIoehcm5RDPyx8Pn1fa6odp14lJcwEoqd8ls7oe1JBdE0By8CQqGCzhR/oSQqt2b05lz/qOzekbXBA2nwobIbUNGsPlsLt0F2mnJpZqd/XpcK+NuosfHxVk8rXTuwZufQE+mYUx3iAmhu+BStmOeOUI2SMiYfbjquoLZXcy02O0HM+pvDrJGrdvJck0kYdV376Pd1zOZep1aa9dNtSJbD6nQ5spRc21w/g+/h/7aw1W5LuhvlutTq4IbeIsZURxEuGXX8qR/4NeryI819o659Ug2LC0Hgx0K1kqmABz6LSAiqqBUbhz6XyHUr6FrtdRiebuhT81QE6kzo/lUg4dajcg5G2DGgUBEY99tuTZuOYlOFardnlsyn1se9DSb8n2hPEsr1xC0NgNT6bpQnEtBz18N/ko1cvMIL8Gu0gOf1pk1WgZ/gsadWRLl6OCZNkfqIm8auGR7DnaWvzIECl5ePIdaBo3dkfkfTRS/ZGa6o1xvQdQD2dZezEXY3Zy3JCdoTrXZSa/1rMtg1G6pv3acLr8FYjsmsFwY8HvKFzK4kubiYuKfzegRyAuojK+g8W+m8/V0ESsmYKnRYpni6hgQoM2iYGgs93iKzYOe2zFa9OUrFBPaVePteoLReQIRRjpaXdrJnpiVEks9JPT50uAD456MIqmSSI1uwO+YhYL3HSTUBksdjVE7VUI1q/WRuUZozxVLEvVGD7ySYBd7k+9F9zhmocxkk3ejMsOOSV2jJI9uTOj5qme73R/AysH5zt+kAgLPZrfqzxflbEKAx4PDXaPiy8E0s2QJzUzB8azBjLc+taEz+DZp7D8xxyP1skkpzxdsyNk75kHK8iCJQdbtbWKyyzOc5i16i2UoDzKepYCiRY1lCh5z8Mi08GGym8tgZYtzS8GMW34htFB59EHOsxAAp/Pd7Y+MAHmW8aWC9KbTvO7TTMYrLCVAQtwkUWTzM3ZidbsY/aY7X7sZl01diMhWEgnWmTnb9YKt32OyWOplAj9tdNlAGU9KRJ+j+Qfzb1NNm9JqjmbUp2KCi28TYinyn87tsH7FG/hto7cDH5nG01OC06og4/SlPXpV7jiQANSyWCgmnSbJVfAlBbs/3y4/SwnGlVyhxWlkZomMZFF07A1iRE6KsF7hNNZzZfjWUvJDe69m3O2Xy1PNaA1YS7n+wk/j9etoSGqW6ePucPxOPUgiqVwVzV//wA/UewSrOTb74Vx9bxbdoXW3kJFUNlyGoAvJHqp3d58o70iR1791e4cux35yHI+gvjqctZ8T+s41O9OXrebXnxIISVeeFpmRjSiS7ajQ0uBP1HsQ5AFFLeUTluivG5EJISZzNCNSU01QjnK3X3s4nrnZliLWWFyMfaYEekQWWq1mtu+P25UJI2obwGqnB90xzJDJwc+GRm5mxoRilVwdedTdYI+UUHZyc8Vs1dC/UNCGqFqyw6JkYiLEa0CxSI1LNFMhkzKU/dCCvQyXr27KTe4QQvnXXwNI2Fhdt/fvb59WLAyQH8n2GNjLfnk7zYbsbSSaXP29U0KPqQpCcjMw9Ri0TYze3oHz7viVsjCSPH9ws5mbcDwxNHsgtBxpt8RVWLwGDgmdi2tEEf2O5yCCj8lIDTJqORPQyPQHf9H0RMrFiFl0lXNtBqfLp+BdyR2drjWWekIjEseCd3bgFd68iK4HKTVRGBRs942SsnWDEvSuxpw4f0EEIbNY7d188O3uZkWXFP21ORcM7kRdJwfG4VItmKsHSmgsKppoMGfjf919/LIisUAKUns2w24pIZmRfGCh+z2lT6L6aXGgGIM7gWQ14gFVUw3+F0ry1E32efHRx/v+OtOaIorChgI3lD6Ty3dBE9d7j14T0U6Xy9IFhbVcn2AuAjIeThzNXREp35JZsNN59+U6sQN1tiGB/klsDd/ZRHhYkVNeuv0NgTtKgviNF/0/20+g+kFAW6sh1/TCBChpENDmG8bWI5zOSBJpjwbSrpuhn9hJLgrdPr67NwPecg3/kq/IDUzVwFdMcHnhxFSqInUVak8Koe4QrlhuE6GxyRnJzhe7ye/v9jfzdKbXdVzs8+jDp3/gde/BXMmt4HFyzX4752Bu6MYevV20Lelr7RF0ORrLUO1keFmqCxb7/bWrvVBnkDCHLivXHJGMdDcQoP6GI5KjvFNtqG56tkwOZ07o4tuDPdE3jOcvZ1CeBGelwI+Up/RJBKJ/T0gP2B0lA57DYY/giSUoHS1S5D924A1xHRBIk2MVLPb/u7th3H+IlfYRAlBoxnKDwicLneQ66OWisCjScq2ZcRmbD4Je3sRooH+++DTHAqJbEF1pVCRt+dSK92aiVH0XnLOuDPE+A08cmWjscQOOTrtMFJ9ochkuiGSwlwlQ4AVotRe7TlylEbysRXSFbi7BmcJ2OU692YP8kSFAgatUrn23h+LldooLBRcJA21xCZiWP1MSIw99BOwy361EsmHQj6iuWijOBd5Gcr3v9nuZxkxwsvbUvV0prmo4g4q9tGJny7ZmyqDQctGeri8rnlK8RNWc5OmVzjCL16SiwViyQ378kRGuzy+Cl8tU4uP923+iMiRAJZJTNOgT6S2tMZc4aSylyicw7DUYqAp72cM00iM68t00isoFkUsQx6OroH9YcXVWj5R4l80cd8dPpMIuCqwvatDp7Q3FMoPIVRGdKJtP3t0cHmjo1mzE6Dao+IiLRb5UR5oi6OeawdxQwaCwQcPhPl1/mFJCSDN5u7X3CiShs6OhjXdheQ0oC6WD2LiktL5SRmEO0VVv5nu7oxRQ7zYChqBRh2NFKMNpmHJz1XwqSjQoawyB/uSDtz/AyUa8CL3Ya/uR6iecxXiWJ6HPDjTNKDcTc/C5urAUNtMlvVeUo26xTMgBAlK0SJwMhb2lWFRGeKc02LB65Pek8trTeMhm4Omq+pLY4iYk77P5fBCYEWqsHPAW0SvNTP7uhjL7Qf3ho0WvaR1eBLUXhdKu2Z5Nj0LpxmiK+vQD933w3lJg9KgKMIL1Rz+4aNZEbk5iJoHl0cCZ9Sp+4ypoFjSWi/AmsQDkjGeLXgkToU9KBKOfXqtbKk4kdoMHvZAecf/h59/9PRP+EFRIwxWp8D+/9T//jhFkXhS9Fqs9X7gfFEHfBB9ArChc0b9wQ13unO6L94NZu9OPV8mz0kU6ycNXVEb7WuYRikhrbQZ9+9oVmZZe0N5BIqLxPzAuCDFF4FuLBkspRFnM1JLdDDuxDhtEYcpIA9LjMkFnZD3JkslR1diPTI3gfQSnVwum0q2aqGCphjiZgSnL2olZnux8z5TgFn1GBGkw2Ff8zIvgEfw1uZXFyEx6bASXXC2/4XQgbyrE4rI5HZT+CHr4kqo90c/C86LFiVRvsSws+nLfjxThqY05XL9Oou8WuYEteTNXzrpGd02vrtH9q76l0hYTcq4TvJcv3oZXDYNH37KBnc5U3tWU5Wh0L6a5wVPKUA4oLgm9mfX6RGFRPYq6Mj0wU1wMb0DLyEsg93jS0S5RRhbrvDtub65z9hZR47qozpFuyC2Ka9h09L14wj6cr99Tpj1SgJNvZuSf34b7p3k1MRZNMGK3X46nmVEdI9rFRFBDavzHrSzdmTK+p4iq1ADKT/0bJ9b0LsFls3rUykN8tlGVpAe++fHdlrmdIsnkZa6e+e5pGfeKMS/WfTcUA+Z1h1wShajblV/R2UUVEkU/FLNelDDL6IWO0JEe8dvHlRSH6gcRWrDLTCnLWVQ3kd/2fFFab5S5oqbWnA0y9bQipKCHfX6Wp5WQv6soZzDigOlXj9q8VGu+altRBOFEAIXp+iuUvYg8JFZpKNWCEXkGIEa3x/grFUlEchGSVs0V2FP82fDFysmK9rspjw5qtaMTxPUnYybrR+tAJ9tMV4rCSdE7WI40eORlMOJWxH1IDqdDD86IWTElvAPzmsZShPIxga8kirX9BJ5oXivUu8U6jCA18gp9wEPKLF5lBftCVbrBZG3eYlfyx+rY25TMLKlJ1lEaU5MZcXtcq3FzG5+GxaNwZ+rljKPxtD0OVJwYPb5jr3ZHWd+NG8my0Z7kHxj5ODpSJW+X6sR5q4IHe4YFcwUUDkx6fTJbdGILKO5tiBl4Iv3t5V48m2+++7xSfDEUDChX+mjcHXeUiiDHGUyRdo+2H3ZkBQVKmIO98nsqAw18dC1lezQ/QLwff0+lbiR5vnNfyMq3kfI6zQQ1mvblPpO1lFoKQ7WCz1vj91eF3J7BvF4KKd9qxcuoRj7fUYm3yHwrDoJIoS/H6uHwqSEvVuuw50R8dYP3IZn5/gg3GavTDoW8iPgNi08n4kqIJtdeLXbP5r2VtFjwbx9XtOnokbwrFq7GUTIhIr0BjcQ09iOZ9yayyFks5bxGaNaBBVpjOZrGlPumFfm/zMgvJNvJuXT2TqzlNmBfvZ3qia2FLiiE1FjST49qxjKEtkKv+OlR6R7Q+8JcfEriNhDM1Li4g0zPwFHuHmCyLMTdUwXL66FGeKlB/q7BXI2CCOriEKc0W3S40r8+2kW2hwXj1FKU2pUEJeYRrL/7oqCMEZSUyWCZFgYx1s1o3qahlP2QnMiMDFNNYY93N3jXSfULru7iPI62XjWSyaF056L5+sOXFUUVplKAcFawr0euVgE9tECwQ622Ee0N1d+tmMlyrmq/Sbn6bMZ9qnW6qKgGMOElZ4/Iy47QaRndzB5shxqMC7lSYDHaKSB7XyOp3HvUk8H3qyc8UX1TElrJOdG0zCfvqKAoWtK0bKd7PK09ok1UpYBaZnOuKInpNoKM9oNX6t862hAsz+Ke8s94eEsWS7SlitAaQgmxmZme7t6RNR0+NCPrOAPkMWvbfvWKAYJnQS6et1eeF1Rz13hCRztkRvJWRAS9nEvoufGInq7Q4UcRmi8Vj6Iafc+4xkVRchGpRhp73lHloKB+QMWhhVPlJ6JNezykBksF++9Jftx8zvd225FzC4D0GLnNeugvlF0v6nDzyWJ3lFnvwHdRkj0oH6lYppzTlLrdZqqYwoNtK0FuqeXarxW9QANo0W7RaYVPQUy7nEAmomG811+04QDqKDPs3Q1ZL1wH342eK+U7wZlsaXGet5RHXFSOWtClV4OPuw8vsVpPWt5WsBHaYSlLGgQ/2UdZOI0+7H+gpGYDOXTWY0+rXAzyJtVS7RbvPlA1J0jNjM0tzhWliA8qh2CvwWcqR0bmKudqITWu1OHFIi61PopKijfuKf6psK9s0QsO8eiRka3RtgLsQqWfRz9avxyecvNUNAdDCdgTmu/HBLqcnND0Wg/94UBV+oGqttoVZ8gY4bqV1wWXUWF3x/2KXio7VUT1mQyOCh4KBOHKogad3p5Z32srI16jRlZKxOu1Kxkp/8lg3233fzltGFvv+XCDmSLnhx/49wNVpYAa+pJG/oiCc0dExH0RTSI9g69hcyxDe0IARQ3NcRQ2+eyULJaJYYKiMIDExmDvbpnsExTAth4XaG7BUG3dhtNGLxiZhovgQq9i95nBP1H5AOmBE1JjKQ8kCG1CgANGb9WBUgoEMhgDNfhmLRcASZWpe7NWlMMXyQAeLoQXT9blmltBJPSaefFrV2puy6DA6naquz2VCjrBPSeGNaxjhX9/IP1zcM9ls2A3dycyIiKKZgn205nrCLbBFmteXIo9VUiQRGmEW+6FQ32RAqB0uRATcZwX2oTMNYNwwUiP3fFHJivyWeQ6twk9qQ9eC/s8UhRqLGNv3nNSedGFmIFfCPn46uoMOzGcJegU0+GOVyPevtI2c1qG1l2s3s52yDsqSRgtA+VQd/MD7yjiTqgSLqRupkz5qUZPtFbtxJ8MmWmF6EmMvsVXf2TUH/S3L0PsKez2zLEND7HpYrBnZK1aAhnVGXU4eq0OpE/PgaXAHGmS4QA2jMVyrXrhmyveR7tJJzKFKmSfxfbSI1NuWzibQ0n6s6e3788c/wnsPqRz2z06ULL2njzFbvDr5CnTy+Qpi1Wj2FNmLrMMVQjOAk2e8oYnT5nUT/zIqpzyR9OjbxmxnZEqLda6ht5SYrskUc5ha8+xf/dHebne+Dc/vX/z9v8av4J/4x7+ze64oxx5yOXz8mFmPZmvQs18y83MaMVMkk2vpZemF5+qMEaoo7pkl/AjioQvurQDOq2XYs7M6QtzyROyYkQr0liOxiQ7ZHunaXlUSVqmmuDSnsGnxzjHpWqmHBffuztSDhYkZ4JENWs01ZMGKlz3KGvWd4Pi2RTjufVcnrFXWHIo58RbaUXC3ZG6AM8CBUlqCJfQUawoB6uLSpQ19rILDGpUDnJtJgXacpWQSW54rSXpEW/krjMiqCK/WUwhBZaF+k5x6w+XP2SfQlPplWCAyzUYLFVj3wfTxeyj76ttqSwt8MeJFtjNJzOqgXejz1fR0K+Uwz1vMrrLKOTu8PXzar5Md60UM1F51TJZ8pmLT1EPSzmg0Q8qLHZnhb9ktINanP09JchHB5Besp4qVX6NDgBgjDTz3J6oCilkzLuczA14Tb5NlulOTn8wguKWCjyjSjQXUZvMpd/fnsiyoSoqi9ogknwRhfI9RHuQV1JeREUqDq2wtVA87q5T0UC9Airwa4KaeKtFPX0CTzwbB5pnIbdPjfv80WttR3IWTUiDV/ICC6LOYFpWIK4OFNVc3mU9zzOqqs5k05CcQ6kvfO90KX7pRyKiXiGK0A1t7tAAQ2O/cXkmSKvrIU8Ke2bTkkuFlaWwp/Nxu/8AhlqGVcOLoda9X9nbyVJx+Iasr6v3FrU1NXfXpxfGW7cL4yjp0aPeis54vKzlijWJ/DILfc1hqRM3RJEptcdgFvlAChgv967p2VIpanCFtYjqNoXdnakU6C4mdLbXnbJBc0TLxmAOxOaaaN6Us6id6DQC6E8f1xxZHuoEXrw57EQVycOx2sdnz6GXy1yhKLaRYq5QnI4pgALqCgW92661jJKXOSYUTSvcgdLCRbnspUNTm2NXxG9zKOWN5YVFJcKLbjQOfIRObJdE8MaLGgBtaT7q7kmJXqvu8BkdzVc302iUsivRoL6QFeUuxBD0RNfyN/JI/jS78ZkqQGnoVlQNdHskQzWhJLs4Z84LiA6jYOVR8+QsSKRRuxrKq3dlumSklwyKagW9kC8+6Z5SzoNY6+o7ivoTGbYWfUe/Hg/vVhIwfETipb1oFDsVihJFLMDQnmO/kXRN8ldMZljqjXjQRSdzoq4jXEJJZO8wy4ardMulUIN7rIG8aA4nE2Shj5YOQn8NpqLEgggF1UkaS7U4yiNH5aEM9Bl7SzWje0r50Av2nezKJC+6a+ajV2r86si4iNmuMeVXgAsZ5ExmibkUgF4QlPKz3b0PWX5/R7biyK7UasYWnfTr9ma3mV0oeMZyRscc/MTzP81OZ4BPvrR879iNT27csAmz5/PVH4Lp41H6qn7o7U+zeTz9ryeDzci5B2Gyxho35StDj2LSWHM0c3j7x3XsSLZHOld4xt6HfY5ftp8//U0UDopIZLaM8tslIJ9FzuzcG/6v1O/AM1fBCzf/HdQNEL61CO695i12rW4goQrHZW9gX++o9Bkk71TU/2g0l/8SRbQhp+0JO7FdaMAnKUcmVzMuk+EgZ2UjD32ti0VmOIzgOgXli8au6KVtEDrmNJlV2t/s6MK7jqolvVK0Iz9CTS3dfPQ3ktGnx1bsBm+pCi8xkPKLK7WuSjkxkcxyreX84izG7u3enKnsoJLlMCJV0MyTUjmriMuUSjPgNc44aCStZzPN7yRlnFi8i3t3c9jfUDTzAXGsEJhru+AFHuUvxS7zkeKNngavREmLG0TVWIiI6wjt62vwndThvEd83xwOinN6Jt8dynfLo7ihuuUg8Sx1nA4FvqEyXhrKUL3F3h3X01Z6KHDFPOJ4Cg1ZqpBDtWN+Z2Rr9psUXKXnOmmeTvjoLPawQi08Kpt8qZOGUQ5beONDRlhbL++eqWkeJnwYppdCc6FrDz7UeGGRL/BK4AFD8xSN3ZApQbUNv7o6GH8ko98uyu7aDTpSOUEdOWeLCZ+pnCBQBTkL5Sxr2H25RG+Ox9c7qjMZiEibiEo99vT2cOLMehR2lWJXjErEhPs3wbmoF/s9ZdePr67l9XEvdnJDg5tiFmx3c8exE/uAjkpzETC9aqS/WVKRhtAW93H3jkkMih69kJyd9PbmZnc6XUVJMQoXXX5+VKlM8kGjk7tBn4+Hz2Rcvcbg8zN8YrupQupWKLR65H+gBHaDBOzNYD+vhJ1Q2OlCNqjt33ZsCZz8RDBT3bENmHIJ3i4zVVOO3B+x8WIw4D9TdRnoGxuLPR2BalLmR4fr6icNBtv4kdTh5UrLTlWzaF+PB06OgaQFFL36Aw4UGzMK06q8OAbMda2SN9ZHOLrt1EO43d1QSZ3QVx2qnhZ3i8qGHw0iRRzYtVtjiG/QNkUC60H/RtLDj9aQOS4+mWufMRNGcDGl3K7oCvFE1P6EfeAG2n5Yyd4anX58THbY3Z6iB04IxKVkwAzJJ9S4mkurBkszLgz7zdXJDH0g20Pm5sRAnoMnLo4jilwIrnW7YF+3x+15R9IYpFwXv8BpRlDJ4PvSWJIuJsmT1a/YL1Oecp99o8/YWnNKhGpzCmZEOZkUiYHIfgdFUKM/UP3OK8pFm8u/4UIhTtI6KCP1ZLnaui6SO7feXlnlizqNg6vSL2b8WofYBYljQvlAWyz315VUsFEh0lzN5jpxIXUwg5XFQt9srysuwW6Lmd7yBbLe6ZViVY2lqkUnJP7ID0AtUegfSCaDXlHx8IS9go0tjsLvUO3It1QLU4i+nFq0K7ajKlRa2Mhi44DpJftKGaJhtO9bjEw1EAPlTK85mCUjA6ay0855383Qf6IEbkMfvWSX+7BGUy6yS46mnS3l0YxD5c3eTPbmO8lPWEXZtgP/+5aZLLyiaYg9Bf4L87ognyKDbcLsL2X6IocjOj9pLNVjHsxgIjbs5p6+M7lWDc9pi8mCz7uVlEMo+Lku7tGGSj0Pm1yRCqSx//aRixJD3or+UZJZLVJ+PMvMPKj0H/SX/yA5unJ3UUFXI6aoZ8gJB0Oh3v+FkrPIiW7QOl4Ycj05M3Zwgj9h+cYX8i7lJuafGffPjGYr2g6S4izW91+YWLrI9959scvF2W4jxlydmjQfihfN5b4cTi8Ym6LUxe60k34S72tsMyHiCivsu+3pE0n56LPLdsoUKbkoPYKIZbHan1h/oQvFHjCmWrvFbj/462ey7boYiM2CuZppRK4KmAXN6aAKhCosY1CK6enSkcUuf+eCp1QN/uViFjBCSCW5YA/HzD5dM65ltXOt9gc4ZnIPUsJgJR5XOA0VMdbFcm2uk9KoFxqMefMUiTUWFlEBIEEU9rVteqFPEVQlhV2JIKGRoBhqYlAr1IlsT9Rlf4MZcfuZ6vnrN94lvEjrA79QpljT2FuFpSqE0PirgyHPfDTZHg4pS7PtuYLvcYi6YLf2sL/ZUfVjqLaO2Xe7vyQNopNz7IvdKkoLHyU4paKRr0Zzbc9E6sWcqjeLdiJLrntPdspUwmSBqibvg71KKxmwos/WBJZrDXt3x9U8o8llDD02c5/+8K8kOYX3YECeg6e3NyuxURALZpcQVFCDfiFpKXqoUHkU9m7/iez/gF68/vUdutjf0qXWojkY368TsuhWlB7HpZS8J24KjQ3ll8vRkIfU+mBwG5JMPOQGwf6Ine5tu+OJam5WZL4dBYYvzHdaz5ZM2UeLDS+HNKZlt3NBQztU6JvD/nQGXS6lqnmQCWW7cjuyAXnvqBvXK3dLBlNk5WM2424Z+TFIK8UqNlgqLos6x9Z7MVgqvxzJVK1nMagV9rjicUWPs1qrXeL7wMm0XrcUSg/2hHyh4j6wHtD76uq5Tqhfkltc7U283X0mlVJBQ51WJ4OrVgTxSUaBph6abFw6+qu53JOFUxI3bIL3ixWjCpxHknpIi4Fvd9dRBA6y/eZavX+Lb1YTjWCbom7rCfh6Ote0NOZdHbdBYXdkuxxRWxA0UVguwalsqhi2drJcynZGdxSHw6UGPu4oUnM00JQ5Z4Pecu7t5mAn+mrQpH+7o+N16Ra9/cIyX4hS3s2aHRhmhnv+C1ezXbQHLXMiersksKlr9BcyBbX4YaDqSVPdFIY1sTif/0WJa1EzfRZ7wizYkfSdNheLPSU3ZD0QXPJ5cUZudl/PJzLB07ewOKOM+JwQai9iStm9Oh85FraILPzaolk1Sm1E4XbJcHWpoTdMe0p51JvrzmL/hWG9Q7+yUKu35+R0VTVncnXjfH/Enik6RpFlSITvsHgf8RNj3KNkAuqPHpSRQRnV0KCy0djtWpZmkL9F9THz5OQH0u57rVkPOtFVNvImy7mw071PvmEEkMCaR9Kk/gGqoYsHX0oOxWIPpCuzJ/TP1OBlx5AXWtCUnLw3x4Ki3AbXsFwm+8Vr3bDQS7f2aFBU9wlUQ9cYLPZvLB2H6D0I26qpDhfmhuxSINJusUP/cqCar4MFoWS7Q1RJogMnDQihNXb3Kyto5V2zA++OHHd2RwlxK2bRDpwXFOUs3n72YX9dKj30kZzbA/rjdn/7A+nKTAHtyw1+ReKh7dao4dQwzp3ZRLVGDrDGfqO8mXnjgvzHYA/Hv1AKn2g+TR5Egz4dVhieOrK8xdI0s6XMJ5D0ipFbihqUK8CEmuh7TNl88JzA9QLjUX5orKbBTPEA0st7ARWcxt5xTc8buquVYJeLY792G5lwzma5uA7k8JRndNHTI3+iiLMF4X2wWIpLpaDpb6/dYM+kwAWVlrerxda5l2jOlmjFP1IsKnlTI9JQX1qs12lU5DnrIL4wy3T7iWUk7mjWrtG/Ug8LSisR9n3C8o2ROrLwYazpcWfEs9NKIn2Ts2Gvw3gUf081OigPqT1Gbu2vyl0FuaPr7bqiaLSKL3CDPKHv3yaBU7WhTyRzevT7F4Yp60ESmcgE+/WUwJbFir7amXP5mGj62joyhYmRX0inQp+mZFbtEym10eo5mnFPpNCWc+ot9vW0l0lncbXau12ur8fdiWT7HZc7L/aKi8kMvhh089Zr9o2KnItgcAhB6ZEpyY2OqQXZgvZ+kJwdIhlSe32zLuRGgfyllDa9+tEXWydWL9qeGffLSjOvwee5ONJUXgQUZFfBp6bBVJgffdNRS2SwWyoLBG5c3123Muj88QuTN9vsgd5R/t8nPqmXdudStKyFQYSgUDdXuX2RRFpifcAO+3Ki+n+FIlaAgd9RmadImY2tFwPeUpIS6nyrpRnwD+T74ApcmU/Ya3J1Uc5SfQ1mZM6VOaoFROLYFftMsh03FxerffiwkprkwKUkatOkcTckDXypSC4ym8RkcqSAPmko6NXgR1f5xZyEijRuMyjVMgjeYjCq21G5lkFonFEzPE36cFASsjh0O2r2NnFE8INZund7rJgXAQ1dGmLtZp3vqCcBLTdyDOZ0kOlffpM6vB9z8MQ9oL0i32ZxOnZzzWG6VGXaq3y4XevDmWIbBE/QC2P/dbUuYqjFPpvV+kT28KopJfvJN9eVRcCj4EXytd/Qc0Njz2s00VA00PlTwyi3dBx88SGZIW93DF0msm3Rqsd+8A3lnwbVZlss1FocE/e+FbgAFOwdSWTjM9jbNHZH+YdAswVRp9dpQ9ZuVAdiXQ3+J6qPARJ0s4/wmCj0imsJtkJp8P8/waYZS8P6i1Dl/vQ3L6/ytBJDdKIuxMUqE4UMEQWRvtlD8ecVPmxRFESoN3Mm8i+kFz0LWg85XZMeM1T9nkpZHKxbJmgBN15Gmr0GbynFuz204NXYL6RjGrFLi6WYXOV8dJddN4frlivzjYi+gWlSj7zSRTc52WVQTZrvpVoO3KvseABfEMsXVXaxpIKZ5pUqO8LTPj++19+pNOIsGgryVA34TKVdg5c1xpKKgVOR4UEV1vPiw8+khI014Cw/YifarTKeWxRf1VdGnlYij8P7p5AbpqC5tY3cPhigCrtG1AueAZFUqU9mj0hGwCZn2a4xY8whjTiHEC32QHGuyv50JMVoLJWvNaUIVs/a/QKNCO2e88JXt0leNHezamQ1YZNXOBVzL6a378nwoauooPwN69ahJrkSDHYlupvdqI9r0UyWJENAvrk9I9Pb0wozwEjNKOC3NYPur+ibaye6QugMldm3VoOZKNVU/T4rI9ghT9dp2ymJgE8XBd1LPVlSLAZLEz+gh3RFzqXGbylRJyaoj8OF9AieeDUW/FsF4RU18I5ifkCaFfpAa+xnilMRCbUgrtTYFYW9Dr6cKGJSfy3X2xeFrajnn4MnVKdxXV3wfrcazRdT7W7hURGl0h4PrgUCqp5Fc7DnkiWBQSfSHnuza3Y8s6yMoCgyi7bGyphg66bFqaIIJBE9FzO9U/dwQfgAKpO0GPm08sHNb2STEHlTVwjlOJSZD46hBk5tc/+pbBJB+GH4Kux3Vmd3qNfQ2B8onR3pQn5xoG+Ou9u1NqSgZgNjuhE4nEcExL+99BelxqXWMGgIU16UF+s92EW0hhc3h2v3UJqZKkU/ed/vAe6q1zZnIh6jiP4yqT30tzgwwhWNe0p3yYApeQH/vqhUvk4avDtSrtjx8AaQK8/h02rLVRCAx+ii+eQzWQDYc092rShaRbxDrRgkGRVoCHP52p7RVHfZjq3NxX4u1ypPDIWOPHYDXvPflI3cILul2z0IwzkqYdDRezPRf2FJMDrKQs1ZZKtuUq12pb5RVTdi2SSx8Q12Rz568lx3b9brVzKWIAJjsUFI0Zsoi8b5EVwzO8WcjQZKexD0afCn1daNpciUzWRXck17GL1BuhnrK+Wkqmj+6RZH4njm7ApwtLWyGPtMMRGLrIiu2TXarYQAot/kHnI3N4Drwoa3q6QeXzmKF3N6wLhVfbQHYs8EPNCcJLoer1+nWYo6uEIE367oQApjqIK6QmPvjaGJ6gRUC7xqGv9zDI4KBiCjsOAFUnCS0bOMRMhsv333V+pF8PcVyk9gnoAZvMJtGFNqYCa1JHY3CKMtlukGg9eo1r4Yd38gOepTb72YU0JZFv6+90JbbtNppbFuFPEsSm81yNvdkSOnRK5YXh4QLmu9i+waqb16uUhiYEHEZI8H6a4K2OSYXtnkaa3vdwXNgcZSDmBkJd675xV2y3F4Iqg37JOrD8iof3cZWodark+rnYYKOj3bY0VVQaHNeO92qlwRFBiOAioKllKPNDSq6N3lN8iO58ZyeugrDQ1wONewpgJPNuQb8tD2FZqSeKIZisCLadJYLl8UJX4jpViPe9yuSQ9o/FU+OVsoFVWvSNYMJRnwmso/+iuWVKffsEwNvqOR06awDC1aFE1L3n+7ShxJiFxd79piqqxLMwXQeldYRwrP8TH5TW3g/HzC8iwhEUR/GY+wGvc5SWRay833oBjUaJTmfSK7gvQQo71OVJsMhH5r9IhZafCndV28qzEf35XjhhK0IGUMye7U/7zM54TeSWF4943gODG6KUg+KkjfzVTPfFJNieY6UaGQmcBzYZP8Q2O3P1MRgqecmjnUe4o644EBz4C3t7fHV5jqX2j7W/K4zfMf2LEJjLkUqC0P2Imm7AHPURBI0ONSXZdE7rWGRmkKekGETNZt7jp6kCo41/vXoxYyyrLNoZSaJrssZwsJ4suPJkz4JCMjlKvhXy7XqyScrGz39kA2qwghwVkxh96uWLSpFBGTJby0ttN6pXouYIHWa/thQzkp0iirjRr8RzboWoZNqm7QykTlDQzgM1Sgm4fCxWk9btpSLWaV/m9Kl6yb6tDkV0H/kUp1Rui0OLTj0WeQpKvzIpaTvuoUIWl2m9BKMaN+ZlIzswjiNAoF5tAfryocCn0QX/cHtuvt/oZkBxVbMNQn+DQrDSU8DRn1y2roP5NNj6JH+YyC1l8o2ntRQQtsfYW93VGNgGsBo2nykwJzVZ4PorzpgQ9fKV1SsKFHs02cxe1kj0K041KF6X40TEtdT/epGJ7gfPI+q4EnTlFIIEMs3lf90fPHa1qpeszyXptN/sK8exWZKSgo0dtEegm8qPxpMkeL5VCStcpm3HdbJn0C5rpYv/ZQc30zAgqmXTGXiXLY5ShKQsj2o//hn/71KmUwIALcnTyj42R+oFj+Yf6iM/EMzieZiZ5QR6BAY7dHLuMZdSFwF2j0x/UwW2q9hOnlD16tai/VZTPk7uZ8d1SNZy9Fvspyxv9nv6M4NQpaOfhk0FxaQJB9FiUp2I3iXG8givE+2lPyfrc9kyGh7vGXHvyhtda0HhKqySW77FQqhQgSOWLlNy1ZgzAIabFia8ZoRwleqWatKB+YPBMhDhGixvxC1YYMw110FzNXhsvHixogKpO9xpzUhOOvgtPU3Km1HAqZa+81vbStE9XXUqxe6jS/2vEsoJw19Af0cYcKXCpZzW16HfdY/QAnMsXS6THkZ+y9r4JMLgDvC3oc6ZGfHoppRXHqAX23DZjxczbUTcCrrLHvSa7fACVz0lhS9jjUPOWov3riMgNhBYttCMmjhv5K1XiLntlTtZt8cz6RxRc9Ot+4xTZK2+i3XMN0/WJDaRPh0+1ngzSXsN2RhSKC78J6XUhbq4JoywU7o+MzxTqRkS5rbxWXi4LSuApmVHOv2AaMMvNqR2ZCj/ACOl+dxV7uqoIofG7+ZdBatQiIHkox81wRtqGLLQ6KNj3g/sNe+d6IKEkoTtT6tvqSqnQs8BVUvOAKzAVJ/KZVZJ1pLFkEgbyz2M1nTyRh5uA/S8l8NVWkJhpPiqXbGf+JdHOmjAI3jd0dP26/cs3Z4kaGzmbF3pEsSA51wGbom+3daUcVP0ORaMudJin7kXgky+Ys/uvx8G6tr3jcxJajPSe7LyRDRPDwLOtjsqbpjSANjDY1JJXC4xwokHAhFfafyJhyTSAD01iOVB3ySnSQ2cDTnCHiUiEEBID94NPuRDFNigSIEW4Ihb7MPg93nLxkLTML/LrAyijIr496Fs3G012Zo9WLMK3kj8prEg2USViCYhlB22SwbAPz7mrok8buSDeg87Habz5ub6hqXjAAIEHCfPVKO6VSZJ2GBa9gXNsKdI5CB0hqkRfFbelee1cnY43LE7e9VNhm+nNf5vKclgUQsYPpQKMpRl5Ydj3lZLAf2JZxFcF+PVkqDoQ+CiKMF/t6+oFx/8lZlldosUVbRnmGEtvT4h58Xu1G1HL3cXoJtU5JByaKxc37SD17aF/W23yVaT5MNCMK8kez5+r4F0pnRn3aeIMUeq2AwaFHZbWn4nRzdzqRFcuxVG9PBlWiPV6Smhb3fvuOLKnDK99+g9BAKmnwPtqBfyW7c6B4uZsV2133FEWkstTOs0M+NzVW2Js7KrUxoTzU5azBFEcj/KvBi/E9KSxXADGqL2LQw+7Jp+SeI0RBz7vjj1RyktjcPcDdt/zmS33Zcy416onuudSA7tCFCEGwOfhXyheMQq1eX/zYNU6kilQ5Z/Z1xpJ4+TkZTMfJbA/NHPycGR38YBB9uEb/Sh2rgPyxBskxA09vj1xP9Pu0txJhoajBqYBDRtcY5y32O9nMEHGDbLA7tsS0F7te2+PpBzJkWUXcJLNiZFolLDpRCvG8vLhgl6s2UdMLrVBBv1xuGeVR+uhhvirUgc08gRL7jJ2oXI7oN6EGZ8ekQgQRdTJyrgz2HZWnkORd6COerI8FS8SIKrVqZstx6Na28dGM+3d/zBv3Rv58D7Zkqm1sQeX04nTcfNpyVIUJEbFi126/O38T/eXEdnBxyc4jPc2DayU7E0qg9Szpyad/s1vr5SJyuEZ8gkL+upJFiwQVuVbVwChrAJLIF7AQafB96v/l1wrJLUh20sjb3XH77jNZxR1ax6V+/AFakYERI6cFiowafHum8gEGzQ36L2g0RWWE+LhHC0qz2pQZ00XfjPAMKeyZS8QtIIpzTQ0MnusNmZom1ls0X/0nihpPdDe0IzFLfXzts00CRUI/ZQhEfcDuVgQpmHxLTpMd9TPJbRflOhWzVlSpsBxL9CbS4/7A9hNwIJgz20v1coQjPqVS7U08H3dc2AFVCwG9tjT+E8/V4e0mXcfV4cEoKJYrHadBV1Xf0fxSQQ9kXVsWCRInBf3GetRGfy4FHRVLxHQHC0MW2aHQ70hZ2yNahCnodzLY6nxzVU/3Z1nBb2TOsfNdf/TEqYy1g85T5N31821oeIVA2PXbC9r33OX6KygV4+2Dpy41PepQUieqFM4lZ08z12kmb4qvKb6xexSptJgg1x8Wsj7QazkeSLms8H88wmgms+EW86mYET9S1eBocdeagXJVe+6hJaqCctywRUxc+LbUXD+x/Wo9aknVqLc7JlsB/K5yips9UdzzJ9cnoY7EHIpYuDoUsc1LRy9Fhd+yOTw+Lc4GF3fIwY9uXkY2n5+IK6aVVmAFres1+DNVjdLRTqiYW7Qli7uLqz5MV8vXERXyuST7Jlz3ADZRO1LsV3JVhVyKxnIaAxT/FGrrGrxGJIaIcBtZbI+wiS0iHXSpKNm330tFoyqiyS4Y7A2V8wMnsaglGko9fQ0N8WSNJwXdkS61mnB158h3THolUoUwaNbYn6issGGeFO8ztVCLpryIHZjZ3jcfJM2EWJoaeeKYBuBDEL3RB/3VcxVlWmkuk2FYafjuHSNkBZFcC5G5gS+YCiLrWtMrxpYKeznTFdTfasHOJA+gbFWri/WKVLIPGNSqbxr9lTI0YCigGlSvNJ3U8eTg8BU1ZeEKf/xT1Z6CUmaGSMriApZrDr3vIci4ENF11sfeNP5Cocekm87KpZKVUuAVXyDCyiVUn/RCcdRPFdMtwY5I9c8ByXOoycyU0tiRMVzNGn8iFfbeop4p5RNxCM4iS1BB/0QJWXk8KzpcK+j/JLtCBudqs6MyIhaexiivpoJySaAxw/GUzGS3VC1j2vgRMlRQyjARbb20ZifL9USC98eJyAjEuC+QbAS5ds/jTiSJ9fAaddez+WSKqaqCvaF5by86w4UJdduDtVuDubcAfGBOdEh9MHZczmgBMbszq/z+wCigYESKCWWuCvz17t1nvuuNRVMM2rXouV5HoO2RdhP8g6/pL9Qj4DdoxxoNdvedqvoeza5cN2Cm2ycIMkKoxUBX6l2R8ynyLc5GpC1WPFc952K/9nbLKdslgAIlG/SByv2Ct0h22ILfsZ2CxeiUl0Bhv7PZ+RU9JDWWctwMt08ElZ8Gc1HstsmjdENjmd7I0+D8HnWNGswVBcgByaAt1AeEjVBGeRCSGffmcq4bLIRewedhjjJFFO426LNhr99n8ukTdSYVM9U9V/WVNi0vTjMVOR4U1r7Z+VLEhRm58bHYA8lxAXQZN/pqLgKTSzVezpIRjJyDp7cnKtRT0ULJV3sw/oV6PUUDFCvMxd+yXOjz7dNCSlK11AjgIqm3mPUi+ynLo9J7hhapFgzW50gn4bywT9nBYSFFpouv4cgOrlZWU8L2+TnMaFf6WED2p/+5EitGpmtqYTIwKgACwib4uDR2Pczs+9hdhTpR2cQNiXYpWOxXsl9caxkeHAXe3awV2LZNEclRzaAwGalk4ookzpAt/v+v7Fq22oaB6N5fQhcYWQ9b6q4btj39BDc4oZTiNDHl8PedmwSQJiG++YB7ZEuj0Tzv9OfpkV1EAzX4Q0oYUxCFFzBE02os9Xri9olFlu3xBTUcu7Rf0OfzbkJ+/pqgCCDa9kiUmIwHqIOQpC2xC/I1iTHlZ1vtjUgu7yEblbT4D68UKZWtQ2OPJPkfE6ZC1VcLEtCTAjUfXjMolK1O7fQ5apkQwe9aonZWZEVRGHgMulDwT2oOTrAVRme6oNC3VGeJPL3i/+lD+k6yFfqEwpJSOL7dkk1t4DnWt369GSmOWHHFrGn1fj8Mi+mifmBxQutgzCHIdXXPKA+x7CzM0Bw6TeuvlLeBUmJUX72hdzt2c7Mc++U1mRjY94sXy2PXKoqr1UTjFPiBaqEGWauxjdoyyhNNtjbJtE1Vblk9030RQdxiu3LBcbO6YSgEkCQG+Vd5wF+otIDIlniECtuzDIAim9C1xa/OpIpgd6edwvpAVVdkJgHJuFafKVUHKaazuM5B7fA0UuEq2DZd8EocNkM/DeTMeFj8vpSJ7UiasM61WhCJAI68vt4iIZcjT2j2gijB1CnGTm0SN4LIGtEUol3Ln3ziGP8QRjGoUizAL1SgKtXW+O7o6vzeXqYcHdqz0wXMNDCXG/lqV2K5tl8HYiq8YgdodQE1alu3TcDzmy/7QpFaOXHE2mzZs/kwRWoF2m2vl+XiN+LKiBCLTsyhr2ToRwwjBCRy6JLr3EOuNcCey7HnrwC6i10TkwI9ksay7JDtqrn1lOb3Yt6rH5x6xm40yAVhGE6J/TVTwW7RXtEoIWDiUnvTXNRoKuV2TXK+hsarizaM70Pjz3fbYa4w+gtLNGUgYy6vhftTbNJIhkwwQU6d6N2wXWzmmqeN2MhWb/JPxj5OGARnO+Zfq+NsAebCqH/tF3+f+3kGheBB1lwKBaW7EZDWnzth+MhlhS4gjegOVK9z48SdWNSmi4i75zDKbnmbcO9L7Fwd/Z7NuvhOFEpv5yi5AsIUDdzgfLU19TqJ4oTYu1NfOqc494UxriqgT+SUg+h39Qc59M/5SE4EqUtrozoQqhIndXXqLBz+HEtRPHoT0OTVtOo/BzJSHjunTuaaquiUL3a7VGIptf1dPxfdQOK0bZTgcmNrcL+aFMpfpeayo79LXmC9KqWPDpTX6rqse4oN1oHc3Kt1VwPZ+4uph6HEUuFqKEIxG5oPido7648s1U5j4Ivl60734/PqnmLv8mCwMUHfhHeX98d/fEUMCQ0KZW5kc3RyZWFtCmVuZG9iago1MyAwIG9iago8PAovTGVuZ3RoIDgyCi9TdWJ0eXBlIC9Gb3JtCi9PQyAxMDYgMCBSCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9QaWVjZUluZm8gPDwKL0FEQkVfQ29tcG91bmRUeXBlIDw8Ci9Qcml2YXRlIC9Gb290ZXIKL0xhc3RNb2RpZmllZCAoRDoyMDA2MDgxMDEzMzQyNS0wMycwMCcpCj4+Cj4+Ci9NYXRyaXggWzEuMCAwLjAgMC4wIDEuMCAwLjAgMC4wXQovUmVzb3VyY2VzIDw8Ci9Gb250IDw8Ci9UVDAgMTA3IDAgUgo+PgovUHJvY1NldCBbL1BERiAvVGV4dF0KPj4KL0JCb3ggWy02LjY3MiAtOS42ODAwNSA2LjY3MiAtMC42OTYwNDVdCi9MYXN0TW9kaWZpZWQgKEQ6MjAwNjA4MTAxMzM0MjUtMDMnMDAnKQovRm9ybVR5cGUgMQo+PgpzdHJlYW0NCkiJMlBI5zVQyFTgdQrh1Q8JMVAwVAhJA4qEJCsAiXIgoRBSrGBoAKKrQEJFChZAygBI6prpmZkbKehaKITk8moYmRlohmTxuobwAgQYAOO7EYgNCmVuZHN0cmVhbQplbmRvYmoKNTQgMCBvYmoKPDwKL0xlbmd0aCA2NwovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCkiJKuTVd8s1UHDJ5w3kLeQ1VDAAQkMFI0tzPTNjCwMDA1MFE1M9MyDL1NhcITmXV9892EAhvRikyxCiCyDAANPSDjcNCmVuZHN0cmVhbQplbmRvYmoKNTUgMCBvYmoKPDwKL0xlbmd0aCAxNjI2Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9CaXRzUGVyQ29tcG9uZW50IDgKL0NvbG9yU3BhY2UgWy9JbmRleGVkIC9EZXZpY2VSR0IgMjU1IDEwNCAwIFJdCi9XaWR0aCA3NAovSGVpZ2h0IDEwNQo+PgpzdHJlYW0NCkiJ7JeNdeM4DITZD/pBP+gH/bidw3xD7UqOnGT3Lvf3orwXyxYFgsPBYPh4fF/fl69aKzJX5VoVsXRFzJdVK2PVoyv11/Pj/K0ZOs95NEMq+hRpBinamqc9ITS+olph52MGzCQxX9dqTTl/2Xo8cSqy77K7/fGDJ5dROVcrU1a0OnUz//SxlFNOMoPAAgf9NjmDAGldIs3Ls0DFawUJIg5qgkRAZvXgKBAVjmiM0N050rzeM3qBFfcaXU1A5bTmvibxed5CkaT1TIFOC++nz+P+PWzun8+CIIH3YnYsnJ8W19oarX6xZTNMac1SyTGE5pkFrFkgTrgUsNzzbfB7PELIavsDuohnkCqZsS85lcIls8x8emu+NjwEJ29C6yeeNQO0o885pfnsmWF5KcxmgQjqYBoh8i6vdiLmusLVfQ/w5wh5yskZi3xwZj5NHZE1lZOSAt84mKQRVF5ccFIQ7ZuYBfBzp3C9OQ48pWrMid1L92bgdXVlZIQjL2vPZ8ogkChcSXGoZJMqVvKkN/yITyDQv4iSRIONmUxm2oZRUHUFG83makmxjopTvbu+V19xWpBRvHJdqsoea5eXOL4MdULVrJc5Lebf80hN4LjUcfJ8+dpfBcl9TuE1sVex9xFA5hfBYPUWf3blGS7T8IKT2ATYGp+qcsUu7YQKWDSZEJ9Ie9AIqrupI7cPZJ9d/LNLvsieWkhJivL1vukSTj+KXZUHl0Ks0d0RLdUDKMuX4doQipHCaQsGGE8iO7m+keubnMICGbsP7zbqjYz9tjgpfQ7GqfBcE+f8itIMGp1ks2keXW7ud/3i1dWnTnEdX2/6zQeRaAfKQ2VcZak3MSZZYYSCl+Uumka6bgKzbS0FjIPciuRqlhaMi6jdltMMt+qnHcslp7sJvuBCZxGnv2c+XQiBEUCgluHa30sl3ih3gc9GSsMYf9ECoMYWKKDqF9mrLRpJ89ITian6sgqJdtPxLIXPCNz4kP33/PRyfzgiNLosKlgXkWimxF62Ei2smsgnX6c+uc7bQPViq9zw1TNlUY2Hess8nc5q+0G/2SWKCX7yKsnQ3abNbTHfeoTkYTkKmA2hfJ4mfgLi2aPdIXIde1unbGyXzRWCUtuHJSyops+VWia7X7LHePfOs8+scBXtsm2aaNJxTJcyt7b7PfqOE4h1k/U/c91X4Ei0ykF7QRm8HYCdxPHisDgAjGi9URCqgCULmVw+I+Hjwv4J1la6Gjt88hC6hP6CJT9Umiv3mc5d6jpgHUJsmdZYqXCsTYnPTxUFcYoqy+3t4btQO9ddLzNDyNiWUQfUqvLr7bwXRzHqjorBfL7f37l+A0ko7AOGPZKUoXyWC/mChe05mo53F1dT2tAnF62c093M3sDGZ+rjgbPXYoZ4moAWvp0WR6tzTonP5qjlXAIL72IbS4CsWaERN+fvRnrDp49N28cDtEmyKvBawhGH21bZ/1g+ELZxRKJRwqtm6pfy4W0Cre3ME1zKAubzZdoOeUqBXxfHytESU+oeFe4HvTdTQk+9CT4w2uy2RXrKaQsYG4hjlhfOo2hsY2mESr0w3OI8JfQb8L7V+l++zByLr49lAfDemQufaPBJg17WHDDqtM/trVz2azaOvew4r74AS+ORAoPOv7wLS2BhVRPPIDuHTUiHeXIYPxDwj7UdwC+eoshptXtr+YChxFChhpgPke1TkXxGwDd27JRFh7Lf/CiPcySUwhUxjNJXFQ8lxNZUc2gMOVf6iozTcZg9K93PHv+ei/rYYdn7lp2evLi1tuzSE9fjkx6qbP9H5/MB9+Kf9H4e1t42XDoUFiwpnYzYci0GlUv1uYSvPrPQAVHF3Eu5I9sV+cxqKBVgM80agxtIyMVa3+HTl19fYfT8ZtN+KtehFXEczZRFoioyxhb2rUsqQo+9dgRHaYwWIs2l/m+f6TapMEybxszW7bw615OW3W5FxcnOJ732VAIHt1dgtC0+Z6GfkWhM9CHFaXdrgml2EN9CqCYmtytrjFnMrzo8cb4T2Gm3TcOVVKFA+IIyesVGrD22the97B1l37sVQqdok50uxdp9dEyrt527KH3xKgkiArTD7tY9VjPTpZjgsL25e2HTg+qLcDKfXg9QCfayLm+FV0tQlc0anmj+FRl+X9/Xf+Oqf8/x9H9w/TEAYHmk1w0KZW5kc3RyZWFtCmVuZG9iago1NiAwIG9iago8PAovTGVuZ3RoIDI2MDk1Ci9TdWJ0eXBlIC9Gb3JtCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9NYXRyaXggWzEuMCAwLjAgMC4wIDEuMCAwLjAgMC4wXQovUmVzb3VyY2VzIDEwOSAwIFIKL1R5cGUgL1hPYmplY3QKL0JCb3ggWzAgMCA1OTUuMjc2IDg0MS44OV0KL0Zvcm1UeXBlIDEKPj4Kc3RyZWFtDQp42py925Ic2XEt+B5fgXkDbdChfb+QNiajdE4fksdG0oitkY2p9ZCoSqBKBDLBzCqA0NePr6hbuEdlxkqIJqma1it37Jtvvy7/65v/581f3/zDL2/a2EtxzpU3Tv7z8k85jrU359KbWtvoQ3fxzS+f3/zdz2l0b/ybXz68efvX+83tb4Zf/uvkb1Q39tTln/RvvN395o2g/ucvZvxBYfPYXM8xGOzdZne1fR0/H3vwzo01xd4M/rD9NKFPfbP3fnR++oIn3ADc5u52fdQ3PvixFhe6GXW/O95M+OEkMgWZcEz2e78cTw07+ymf09hbC9WAN4ct89GyTzXEMphd2t8x4FbHVKLX+zS8vTvcHxl88G5MvrjVfRoMLrixtOCTnTKzT0OIfkxR5nxqn05/bw5jqjkncz6+HN8xsy11jC5HM+zPj9DhHLTG0RWf7Cf/M3GZQu1jr2lxPn7/M/HNz5JgqPL1pbRH8Pl1ymWMJYQm50KhpuM8nB+xBJEbMYZssJvXvnZYyJzUQ+ndYD/uiWOBZSq9FjswgX3T0thCj7G9YKeDcU1gu9z93mq04x7vNoeH87yyYt4nOZUiL80P7D4SS+ZDHX1qrRjwF0bMxjBmvxh3f/5w+NjH0kPoZq12jMBJaczZL772biQuEQSlXF5vwf9KXCJf/JhjTHau26vtjlkpuXlFjrWFc0I2jKH6Ws16rTxlOJKx4AlXI35nzkSTv+PiYxkZ57ucxZJzMPLiMyMfXZCj6JK3N383KRprT4kfi6+p/MB8g+9jCqXZCX9mHhPcH+frj0gNPES9urCQGo/P3wo6iWyWz/avCdm19yS7UWRsifarPzDLVeT17TVaMPnqD6HFURbM2w/f7y55kERJrGNw9XHN7m4Ybaf0Mdfmq39BT0N/I9ZMlNIuQ/dqsNv3xJrJjZJ7XPCqKfD98byw7HIye62+Dxr3umxfPAwiOVzIetDh7ZHCig4uSkMyH7yn3hTRKZ2cboO9YrQzPEgxZ9cNeMPcCR/rmF3K3ZyO3ZaStHIrXC4wGy4+HV50niRbtVivw1+YFcPBjN5b9JF6WwpecGexNxvqcckiNouPZsG+UrLejSEkWHj6QrxgT1s8HbpwrXaXt58Jiye4PrrmFqu1PXxkhEAIWS5VafZOXY+UzBZIjLGaO/UzJbHFfGg1Lc8IsWJBJF+pcq3spP/GrJho1SVFZ2/khnqXqxiYoaRg1uvLeQ1E1H85WpM5rD9YjKXhEjmfirxzVb4d6P+PuE1ZNPnYKxQ9hb0nbpO8SFWMeKyUwm52jC4vtylGseZn6Ok6/XlFyot15/NkL6lBdx9vGOEhVnSurtpP/o8VX4e8wjF1uQUKFQPl6ghjlPNU1ZDD2/+ksPLoh+Sy+dwrZqqiMVUfsj0VYrozkjJlyI1m0dTbkESDz/KEm5093F/dba8pR0sZe++QePpgMRaeKPPRl8Vl+Lzc4bljqHuM2O252FOyvYwt99TM6SBVU1HGY2pwdajj8bp6uRDPXqRkN2cLTqEv93cbyiKGrKyllLw4JpR6W0aZQLIb9etbRreVh7y2tljzSTf+9TeXeVyifEgrT8LrC6PfpjGI4INJPgMPb683zBmvcjFdqHjb1NC3Z51xzY2+yDyzQTEq6iDmond9cmwpMCduJxlWXZsN/eCPO+y/UNoPUKLCRDP6RxyzgdAX/Zib9/bjqWPmSx5ziDD+9D5zOp9sdJvk7ys7tS6IWmyxmEXjTArR+aromt0M/GJ+nTU7nbyuIgKTRW+PpJnu5f8sxqbMdFFGek/h/NF+RVMUI7l0s1SU1hSDaCEtt8XhOH+dgjxSIbpuD9WWORdBNC0vODvoh8Oe+ma5y07eKHs0OON6prLJurWQ57Jvu/01hnw2YiSPnFxlkSUGfyT8c3Isve8BjkGF3W1XnJFO3kj5ww8a97ri9Uq4SNYaitcMPLx9T2HxPLTozQfvD8ffMfZTlMWW5yUa+P86N1tRgKb4lgXtP5EKkIgdxHqewNPZoCYrRyPnWO1kt1eMZV2gD7QSDPgvlNu2ISS3OJKcO6A2EZS12bPBeSJaG5OHD1Vh/4N5VuQwi3naDNSH/2SEpMujT2mxx6fNxLn48PIce7cA321315SSC59kyaE3s2ScAAm5QemM9j5tqOBaHFNuCwFw9VfGtq5imAcxzQ0YMW4iwCaCS5SQYDds99Nl6p4X47GkpxXb7K4Ylc2LZS1CTC7HDD68ZZZbjnfMsmT+jR76MNfxT66ZnO/iw2RdKPTJGOxg/JqxxIA1U2jSkPNhrNHDDFToGy5M78bkCpS+J/BwPtiu5G4Q4yDBslAj3zKCLMo5gRJisExGBDIEeqxwPivsz6zp2pPP5oj9MyW5s9gEpUcz7u9/ZgRZhX48Rb0U+DOjHtc+htyDxTKRXJjLPtRqDxdnvPouf4vxWsz5eE+FsOLYxCLpZuTvjBASbUIEiPcnjtZZ/56HPTCFzpijtVSrxeBeSKADG8MSldzsk1ic94y3Xx6MJhqn9/ZcPxsjZ82J4sZWarWzPuuXHKaXIvpuT8f2K+ULDaPX93A6HCuJRUFkbRXF2n4pZfa0PKbao10ixpkyzHRyl0TTjS5cEqt7I7aibJGouIPGc/a5WPfO91TV4PKef/nyiVSvk1jn1Xz7efsJPoEupyIbFKO/DD4UkRwF+6SXi9JfoF63HKdElEf0cMJNp1CI/UwiVo1JRdpyGmMvdq6UoBsQdBJlrwaD/jCPR5xRcOPosm/BTPbXGMtKagJ8CDEXu693VNwIntBo94dKCuzQyHu263yg5JRAcu3ebi3lNAkeMSPnm/3qzytZbl2uj892shsuya0gyB7t5q7IqShyKnbET9U05zbpGVleBRKaXeB/PT9LOcJFTPD+6i1fd3eElKPFXlEGg8fLM//agQ6bhiovj3fdHuHDNZV98ZIAoW884zd8kegFuTZJVHDapB3gH3Y1h2rAlElb4avNvecX8PASZ1p9R0rx0TUzcGj/SSxYFx2jtNDtZ8PPy0hJ10d5wmIx8D1nayBpEufTrDfloI5udCWIiaWXbMMluyG9ruSTm3XW2JBXBZk19rNfj5AvnhUxDUVS2jP2/rAhndNyKVM26MP2y2F7JDXwgg0fzJJT6qyrIqlj06MPb++4JG5En7p3aXFWdszFFgtPFLQQLZhKq0Juo+iWFkynVZUi5mVdnPIpGHKZK6I06FD+6chwKwdtQh71IiduBh+4tK6GaoHqcnijx94wnog85lSQRa6xp1XU2U/1OjbRrnOyA7M6ahYz1fVi1mzF6ywKQfM52EEfZMpaMBhqQU+iFr825Hr8vCChzGDvqGxfeWx7i4kZ95WcX9GMywx7Qc5vHV1cbND7W0ZdRMqvR4alAZ83EX0JIv+Sjz8yVXlje+opmqnuPx42X6ioQpfBc0vdDP6dORu9ww+wOFiHLeU6RoaCF/NSg68oz7FoUxWqgYLuP6/E1+IYq2/drNVn0vEgYrrarWWyz0LMIqti8AuJsWH8vfK0yjp1ezru1opHkKcnaqcRFfvd72iNs5sVHs4HfCa/g8s524ne32wuUzVrHHO4IDQ/VGSAJNkfhf3f9+cPhCh6UYQjVIdn1PB2Q9mjbvLM6m/9j/OuAtG+a22lKYxP/0mphXLTUtfQq/3ueMdnBJVJzcltUMtLRaayKCmQEDMg9AQquuTHVnIKGsw8HqKW+SSyUSEn9eIjW3lVxlyc/m5KP4CfsLdayxOUlxMZpocoR3pQRkpMNR+y0Qp5xrcyd8iKweNciMGejwsVsYK6rwdX4UrJFWRShE05w1xvD+edZXKOYu0eOucLivJptC6zgiU5/8Zr5oHsSAYNk5I8mx3zuDmHlHScvxfgHRM8kXuewqSjvgAP90c2TN+SV9O8+x0VZhLRKyuU5oP+npmmGBE9InQ8A76nYkROpKeohuoI3H8iA/Ri2yc/n+ZP/3peiUWlHmTnC2JD5T2JfVZqVtO7WXGRinkgesL84zgLusOk6nop8X4x9URyCVsNan5/2DBKNkqCWolNQdf8bk5OqJgE8ylStjJyynMrTt2m/2ByJBMSBXxUQE+lGIhErTFFdc5OuWLsCyASJ0WkwM+we2qiosCUJu/lI3KgnTAzNSbLYvUur/b8tA7nq1GzGFw4rQrLiB2xx113EXqiwlKSZxDNLeWU8TvMyFo4i6YZmyzzC5Z+LzsimDFUb8ZlXkz4bZpv3n7zyTdzsHWsoh0UO/K6Le1FPeiDRlHpE4j3xDg5FmfgYa22UkR76zXYQ3F/vfjUwcaHqvzRDI7LvMzIFy0hm3n+GkO45gzTClaFks2hIGkCMLqD1qhGpxK4ah+Lg5F38RUCwUB0k35y8SVAmKmJcmMXjHv4EckPKQZ7Mu5kvSMV85EFi7kshM6z9bTmSJQjXe1FwmYzEjqiQAqJVGbqTJwspCLnxLl2YqvfrNSVttZyNWdszQ8gEl3e+G4Xi0kUmQzjnJs9ItRUUdkEogJ7IUVxvuxhSUgLaI+zfUj2l3PCVEw3uEBKg8P56Ucepd7AlBv1KCetGywTR4Kcb1lsFIP9drOWMdvGEHyJg8ZdkQWpLnccLYW9YezW4BAN7fZ7T7rHh2U0JVZwlWg8WSswIF8/IRlBw8Xy5WIaDRkgzlVzVlYWGw6RPKlaF28wfIHRVW+/+MikUCGK0qa8L7PLVAwFhBS5l27mSkUZQwC4VPvZO6rAIEJJDNVeCOatQWWnc32xXt/IvNfkxNIwl+JE9e8rLorUotnlgYy6o46kh8V6/Wl/3FBZVDMphuhArU8ClLlVJSHLuWaDZXZ6EOGbReZDHVLg/+BKlVxJFYHVJ+x0xHxjShA7iJo6RJ/+6sPHezIEg0Sf1u0P3N1sOFHkp1NqV5yN9CHEIOIsF4PntMAC8oZWzMJRMqyKTlSQ9aDHfSGLOqsGwmXkwHPDnJVhWY9YKvIENfgbJcvEXhRLvtuByWhyAtGUXq3vlBQMowza7XyPVC5oe8wksyeEClBEh2rvaM/XjlJ8RXdMTt7J4fLDFeRg99zS4l6cp4qDc9eLqWw36CszV1Hc5I0r3kovSu72sUbsqTkYVHKjiNwxi12kxdcw6eiH7U+X6Y8iUESnehz/w/ZwkFsxMBn8snahe/MDjBBqHqUKNXSD5bwTqNuUlwY7rUcmzSPvYB75Jg+mwv+6au1PojPbGY8kT5Y88s1+83akOE0y1hqqq/7gabevmPK6AV7WHjtsSvUbK87PIlMO0c9OyYPvi7RSfCvISS92p56MlF9/Q7lDqzwbJdnTwvlD3Sg7Vi32SNIrudhdXnz9hpNmSS6p3LE2EN/9ijErWxbtllO1wdDpQs/O7vVXkmCpu5g7dVAXNi0SmKb8JwX+w550siIz0Z61bxeKM+/AtPb02V9JR6tsdLfYwzuG9w/BtlItmEpw7yhRCaEPGkslfItN1zxiWWrggVIPQLBQ5aPtal3frsasc045WhhZNtXqFLRWWJLsM4g9iWP5gn70H34lc+Ph+6x2gx/UvzXRjdwJeebtl3+7ISNOYsk6C/5O5TJmQcQcDJZzmsptSmKVdbNiVyS1as5hMeP9+ZxxGP0tZW+X+TNp8+cwuSj0Fu2uN2u5LRFcP7k1M1Myto8EvtSyGZepqXtQHUEFpbFHSnVEptYU39diA28Llc6A7Jo0JejqH1hZLJSn9RqSWSyq/ggix2W85nqPCKNiJp+dw+PUy3p8ZXjhctUoZmdLFi0xwTX7BB1Yw0tMzdQLGC70sB+IicpzEIPLsLwUdk8kbiARNTgPrV5hDyuJS2DaazH7QcO4WnEYqC0hd2MGHqhwnZ+OQXfefO9mt6N42ESoVx99tNMdGeZp1DvZhfqFK5VCUX8R6WrWixKN8HhlF+w3i2g8Z2X6Wp/SRxTsMxWHypOtZ7H7HVtQmuWumrl+IeuOYmiQUQq7ZVRQ18YU02LCh+MXSmtHfuWUKqxHvqKS0eVBaPIT/hJZM+VlRqROGIHxlfRb9J6WC0V4WxJoaVArZXb3A5PplUGW650dmHN2TzkCqVux8YksRRXJ7K2Uu7vZMnmAjy/JQq5vL0oMzU30jZjUVTr5GoDHQ6zRPGgUY5jIOsXkk5wMjUVmwdkuBCjeCSD11jhGPwCDsrwFvRosYzuCGD9VEekDNa6tmhXLq6Zoxn1wDw9UzlqrsVn8lwPp5ygOFbAXb9KAaqfgSrALxuaHTjkOQS6TXTVOzBbZ69zlFs/BA8mJJa+olwfJfDkVZ5MzJtpctNgjR1UgB6UG3CkFpuJsSG9D6stsxhfE2aakSNifZspbxpkvBxTU1d5u9TdG737O+je7fPgL5RJKDtpSDgZOsbcm+eyQczUrxjlHMkicSysn5nyeqkDM9taynfOW8gch7tLTEnx4R9FtF7G8a40/IMaCIIJo4dGs1/Eid1CuHaF3JcbWbX5kCjqIIotnHELIFo/ZZYPlvIZDz6KwTe02NJxKb26iKfpps56ww8woXLME0ljgFzcDMx40VLmG4u1ybf+e0W8nzs0QLfjfbzZUQDIhja74wGzVa4WqBR59vV7fqfciIYqw2OYvVGmY6IvOl27Xi+q5A5pP2Sy7TxTB6URt41OKw4mLsSq5UQoEn5ReMa7hDxLTgos9L67l5PUYVtgB5GyGxm3zYEODTawg/+qVOi2vp0yS3obX78N5Wd9Hh6YOZn8p5z2CPcXZ+38iMDi8whFTUre34RvpUmpiFdiRb/gM6ZDtTfr7y6S16FHdh8eB/2nPOO9Rct0q7rACMwejepQNT9qAwt5s94fbtWIxn12sYk8oJJeP5fw4RUk0lisOACdASFksa43+fD79V1TrLu94M6g9SSRQW5/8cXPs9VpHM5QHVAfBrnBUvU1q8NHg8VfYD/t76h4gXUT2x9k1vqHS7VoQBdN7C/7K+s5rL7NJD2xOgO+I0Za8PBhHkuA2yrNQDJpSi31EZs7iUG1JhpnmkrNX4cCxNsJZ0+xXD9TzjZK+NKXQ2utLOV7E2Gwt2Lt/3FKOFwHXkqzQ+Svld3EIOXS7XvfbI8cSgbChaMPJnDCKvnAuazOqPEQmEMRWL454jdpxvC/RoXZGQz/sV9za4HiSmzj/UtqDL5dQtNFqx2S4JdEPwRX0gNPYz+er9h36EjnfDQqu8MNIRjibh1Na/8AvJJV4QnKbht4w6gYEbfaIk6xMd1jERHurBrQnve9w/VUz0Wu2Y2RoiGrOwQPls/SiGjXRPZv56CPJCCmy1S0P8T1VkQ6HR/dok6fxlHxFxxl5z5q5B7dkM4RcQ7Fzvrt5Tt85n9I8aftQnPVeUak3orGnB7eDAh+2V3efKIItOdUBnGkaT+U/Iks1hLiQHUfWuS0Wlt3s4/0KZ9pzfPTiTZ5xJWYwmXX/tFEsVyIahLkew2DwZBqKCIBqhp78FQOTS5KDaLTewJkj0uVkV5G1i1lTzbqcGEq+LZaM0tLAyhUQPX/G8lqaB5EAop563D1zo9CABu3+7EdfU4yLsaOOA1JEgakcmgEO7podXPsK/ZFL3Q5gfQjZLNhXsvgvB1QJ6IGpGDGaTRS4GxR0TXkYQGTTaw12qSiGiw4VHjJTTfUT2UaytrI4k9dUPgk6EhfX7WSpfBKwp8sltFiqcA4sc60Xb2QHV6sYCiiHYlcDD2uUESiW8UmeB3uJqC45SNpxrXcDppwcOaBtS7W3gHJyZCSEumgOBvsgidLewin5vlYx/+JIv1jKzhzpzLk69S6hvWF0z9/9nKd0JhNGjBOQZz1DB7qI3E0lqLgKatiVbkBghU2uGtBX0mAoAdlQGrt9x7GKxBIb/AUzMHioufckjXVqumKWeE/l0EzhArs9OybdyINw1aNjgAavWmY+4xGr0/GYA7mEI2REymEsZrEuYGj0Iyipo/nsLcWS6JCy5OpisaniKZTV5Cnaeu5UvuL0dq3GalaLy08En0dCpp1eLa6bGXzmohTauVIiFulVpdoLeEOVNmfUiMVgBz5u10qxRRPNSAvREoPiW4FbxIW4nO1Ky6OW0VoGVoqCUcRzj4LVYi/0w6DMoPSeBzqK89hqDa/nE1jt7Iq/vNVUQjHYE7U3y4ZrcqoqnvtXRz63XA3sHnDLGOx42XK5qeXso9Prj2QqaBILHhb0E/hRY3+sYhlW+aYKMsCDwd9RSrtInC4qYTXgD1SKBtLo3KTxK/CagPYg4BV93awWJ6AD2i+Gblfr0/nk79CxyMF+6XeS3TOJUO4Ge7y7v/7OGidJlN/B7A+XDoqAvW9Z7y7ngUakIPXck90fFesfzlFmpoI+bRpOtd0QU0PkXbNYzocs58qXnKtZMSq26UXNimjGZT964JhJGlrhmY+mHl/s02KtvrNGSm7Rm+myTUZkoRCg0PeXmS6ehVS9vRST1v+OogGEz9KHyqzXou9yEdnRir1VXDusp6Yhg5Vah8vKseR2iCiqKqt8NUlToThqNySzNg/PsMZSZADg9ELDWYOlchrkRawV5eEv4Mc+oNsjRRruscA9x2hGv6NoCbuMDteKWbG7FTao4JC80i2OS3aMaaJ394MBUwkoCf7ClOxkuWBFiWhc6OxGHclKLJGWwWJXdFJ4/n2RPSWO5CslWLWIyDIj7piZosUZuHnsOlFM2x3csujao8FXVIojmJhjFf3wB3YXMro2OSDmMtDpRSmMNXR5i/XgD42Xz4VyAzqUMcdiEcmNYLkJdsTd9mp7PLKFWLJT5c3lJ2RqUy9rbWXHgXrUuhtjhBdMDzxexLuSxP6R5/ER+wdGoxV12uUOf5IGf+OomZHWATGtsFQd52O35zAbeKBzURHYjaiuCmbo3Z5KcMxiDy/Br/tK5k6WkEZZrFwNkFPFI8DwzGrwZ7KDRxDD1puB91RQuMKAXxyPE1yKr3TwEKkX7ZSPJNNV7GifZ9f5nuvK3dFlNpb46oqdbfrRa1qcyi3lm/U4WX5xHzilVoyt3lI2WM7PEqbirro40dstKWtDQwmqvk3XlNtfJEirk9i094HKSK9TF67CnRAd6QC7e83Nrtj9FdlkGpybwRyPG7L8NfRU7aXYEBdqJm8rGnG+VEpSDETVwZzvECIKzhjXIM9ER4dssCve++bHmpNzM9hD9v3IcVy1Ik+iN2P+wvRbkqOROggoNHZPkm13N51KhX3pC7dOUoBOaxbPdWOp0IprNQt2RzaGReNP1OKYXaJ6u2Y0IC/RYD9uvrwj+/gVJB1q9Dc2l6eI/jJo7JaMA8hbvpjx5nalkjZB8DT7uWwlreuLU3lHUigWEVlhoE6leV3QmbnFZsa9pTomNLFaYrHY6+2OjFekggapZsYUw4BHiwi3EBwfOI8L+pfLTyxuA/c0pRHEu6/fhbVyWlBIG+h5I28AGZfY/9mejA2batTT/BzT7YUQ8HAFZeEn9ufsI1pRTJEWc726rLGrOc+XNXZNU3Jn7vVVt9a5jCM0ekyipekfYIwAJHaI3ePN4IxeC+XQyX0w0GuqEg6PS0NeqAavJcGjkaxI9jTYz+UyjRzCFhr6hWKsFaEem90hqkkC+FQKspI1dmWeETpRDXZL91x6EWojHxScGXp4e0WGlEHMlls1X7xCV1PQB77X9ObinZnaDAZUCy9OEvW9rSMJrMy+l4/9IYItVz/HN6/fnWGtRXgO3Z5hLvYHWyUgd+bNxbd2QN1tkIfQLtgd54LHzXPJrhfH/hQmYxbRJXNxKfYnNOJpAV3VzYffUG3NHntg1Vfv0lp02eH9XZzq/ccLPfAw1VJ6XLOVTj7Pef7PqNPRcOsWclMQD+ussBwfr5e3rPeWDPiwIl7FTEm1uNzNNDd3XB8hEXTojawHPZ8xALodebJxiRSKqr8Y4LH3DY3uzCpRPh2UypaUopntnuviEEXgNTQ400M/HuVhnR+hVjSlMUfjxLxfKcgKDy4lPTglbcuIQpBqD8f91d2RFJkJKc6D2TEKC28nyD80lgr/4e0v4GE0c6bDf2h7KfrK4rCc8oUNtpK0uhjshfxwoBhDJ9nlfF3s2M1l1fv6qF6WGyNHHebP04cvnK3WT4KOOQ6l0RrIFP3VCh5g1JFr7CdOJ62pB6z0E3ZgEp7Q1K742rr9Xor7w9VRxFCzk+WS59FiqqJ7gwZfURl48GnXDIeDmi4XABRF0YkB7+1nU54OMUlzCPZgcPqLz/ANl1hOjHw+eX5y41e72O8o9RRJU+By1ctF+R0KkqbcYrWo3NA6mR7FzvfLgfKlNXREmhQfhf5KKrheDogfNJYrggXdUrNbzAWIJ95z34K9xK+lKw+v8H+JeZd/5DohXVIM6cXB/ErywsSEvhH6eNySrSmbiMp++kifflwyFBn0ctbY71RuiZv4juy4nAUDd3ZuZbB7JK/i3LvsQeie5Qma8C//NHsefB27iM9pwf7u5zjKv/bmlw9v3kbmd+D48D3k2e9MRue//+H3BBrEialOUZ8ZWhVsDiexaFISYy0G+8c/nxp49lNwFct3I+6rB/5X5qsTug6VlgYN/rc//3IZU4MYVCJM+0Nez9/9nJ6X/s/fqZRMEeQpV3jNZj/0QCB33gGMTP0kQq0b5H9TBWdT4ux05hWY0Z8HJOpkD1GsP5lkynSyBbN1G+hcrKnjhwMxth5YNO8rqqcn+GK6twu2pbqFRDD1w0GpsF+4NxPZ8gFqggJTKkbGAUGBvV4wTsWQ0yXffHKnhpUqYZ+mHAOFJVUMPJouxXz5GRnQMy7XFO3Ia12aIrhE9D0aOO8zaiES2PnNx86Sdc56k0IAPzUsQr1UFA8bPA0lLw4lVWUXQQ3QYx40eMP1vsbD18Nyzaih8+Q39+X8Jg1L9jY5FSn+wLEIUwsG1+yR2h42d/cHqj7ppadzRLVu7o9Cnwnx4aGXfz+UNxrLaGPIuKuy2s1gqQbwsPmTKyL1NPgrU2kg2lhCuerioyle/RI8kkGfsbS23gMWK7ZqJ7ylUoxEKejgmdfgD/tP50tdoUxUUQc0jI1Zu4gO4Xque/JVQp9Xu8bfqKo13Iec7DrdUlVroj06xNk1lnOBTb3SUvDmJnxdEbJoLRnkDbbn6Rvz/paJV694A379KRuWvU9BPRsN+I5rlTOlQ3W8RwZOMnyW6ucLPVxerhNlAiXWh3H/7uf8qCcOFLFJ7vIFvYqOrX7mrc4mHc6FGUt3okRo+C2TGCqvsXNiqjQDJotKRFeUc9baoNFfjt+vbvaf9qS7NsDyf/6FafnpY57QZM5MnLmbYo6GgraPGnvF3E25Jy7iL42lo3g+4JRp8PFO3nXK6ZCwYyGaBWM7XtQMY0iPvf/8hQqryU3porvZY3p7vH1dLA3LGpM09UPXP/DrW//rbyj3g3x+QM6Uxm//9oUkpEoRBDN64bZk9kNAxzZ7Wu42u6vvTHwN96yCTUP/wG8vogKP6PZQyyVXdChdHusAxmiDhnTZc699lse+50H/ANMYC61SKqpVNBQbNlCtbHNDGYRBMw+KF8U7RwulAikTyTY6s9rPpqoh4kRWBkXyCcs3f0xISZgOiRr3CynPuhOtjFmsV+RZKQjUm9Ui+WG7q7mb03GLZMQrkusqy1Yls2DvKSwixqAwMpN+Vr2HFWkoBzvae8X0RATxiq892JFZTvHeU25myfYHypqVfW7B631mK+XhDJPXPp6TJMM5ezR0ELC9IkmoNAFE6krx9BlV9mEcRUHz9kYf70mqK7BGmSNGpVKj0w36Iphxb5gFa/B/igVg5QijmM2kfoYH9zktijklxU9CKIrMVuD919vrW8qEQBlJjT3Mhn9gQtp8ur0m6T7gjO3m8293yJ0fqJqQmGs28M+bu1uqHD1XhGZ6M/gdWZzhfW/FYDnaP/AbNmeXjeoiWcHz6ZudM0UghfpMhwpJhYUl4h891v8H5dibgjSxLX/myfFNPSii7XjXFpt/dXf7lbrsDoUq6BWh8Z++k8V5oaIFqN4CSkcMCK3LzbFbcHis+BjWi03EMrDwz6R+DPakHGAF62Wj5ONEHJ7rDxxaiEe5qtke2j21ZPBCtV5OndqzFkXL4ATK9pxQrlWkNTkQA2jsT5d5CpMo9s8t3jbc+ZyaYRaXcdue8A/pWHLAOX7aqcek3LbZL0xf8Duqya6buJebwf76NrxuRg1L5gvnO55hhX/PyEY0M2uoS9BYLiE0inSpIEHWy3a7/fBbStVEb/TSghmbTOySC5IqevwaNB/y8K43u2h3jNY2TP3JCnr7XrzkD2R7McB7qVZt++mWSwwNU4Jl8nbLGIJymOxigfXFqt1wTFIZJNC12aNKWeyTzhcK+kcYNGWx11Hew5TMqr1Y7LxvL+LP9NQyk1k2CHKQhxisnLUtU6sEN03xAZavwjM3tPsxI5nOfvfmuCX7JNaMMqln9ED2vn3zVFZmBp6TLQzn2Hhys9+8FXV1u7ui9L0H1k/7A5TKhptd6mA+m4zAiq7XuhmWyZp8antrP/mO6rfbwPuPCr6L5zs5y1vJKS4P5/GOY8JHw8Qc0nD5YkM5ywU06Rr7q/wg1VJP3p8gj73FX1HuxygiocXFAf1MCaPUR0E0O/KWWzOUEAZQVel7tbsi66fkuQ/lxG4PKww3Ed0/rDig+kvMhCA6isX4iP7IVI8UVOa7Vi2YbEaYH/fqCUvLoSnJ3oOkXo/LhOxqlaP9EGZU2Fuur61PzgdvsGRqbS8puT78ADbLN4dU7Dr/jisVEy10clcq7K9vI0dsXbLz0a4W5c1H7CjGhkCw3ibKh4YWS+B+M+eDCwe3R2/QqaU+80whxd4vlkvsu90JHpXFQxVASWR/4I4qxypTdZGrBky5Sgu6CeZmF2xLull9dMXu1Nf7T5SbNY/yZ88GvdtSzTL7pLZHu2Cb91Rx0UQc5bLd6+1vScW5VZeSWTKyuDdmtBNqi52mmCMmgiCX7U4jZHOgPAl57A1+Xn1MOaafjASNkBb3ksocEt015Ml1oy/mZdVcUXTJVoPI4cfrxVB+imog343NVmiKvxKMGWIkVW/AjMqNiKzo68iHUdgtxyGRq0dLomfs8Hi3dltW6XY12rEPlCMhg+0e/mmFlbtFxdhAkNYbItHEei/6Gcr18JN9psFUO8RJac8Pb61atvek1h4K6qPNdlHSDMQMuXQ76dstleeCkFOfojfmgFOKuxzwjPQ6s12UE0Gupbw9yazX8Qvbz9CH7k+c72FF4e+1FbvYV6cDhK80WKluyg3Sv0Ap7WCGmOSowu53nNaOzJzY5ys+rdrfKKU9jq25uDjgTOAI/X9Er7IX89vNlnONgsXD4828WB7NXKNO1s6/3EsGDaKHlpHINAMPD0EfpvKzwzPZGsI2anREfXaURMN73yz8ltLMArTZHqMB3x8pq1pOmo/eWTTlOMliOcjD6V+wfH5iTmjxAheEGvfAaLNioTkHIlK712x/1oJaIA3mFEqRRj3D56K3mfafT92iMmgq9JJtSGbfmn2KP7BkiKCjcXxjZz2vJgJZRUNis5n1ly+fbrds/lOetNmLzxiywVOCiqLW67IsxynWI8/AFBJ8qYX5I0P1WcAsmLwc8tmvUORxBezRXiwIheQyQxtoDXINYX3UpVWdHAy1R+DA1kGib0MKsBHVkCK6qfRoj3Wq8mLN0Sf7DuukFDjrYzMLdUdWq4pKleowR1LcWMlPDj095p7qfdpR79OT3tY9xb1YpiISfZZYZ2+RUaOaKBWxq6gu82LGzpG3zEQrdFVwxs+RO7Yfn5yFppBfSVJeMfdjUvPcr5DbwBuUmminrw03rHB/VTkGeorb699SPZ1QX4PMHnVqDydt3YVUhHeiGvyGLCutEd0/5necIuAEY/lSJj240LcjcShmQlUOlqgNwP9MLJeopC5F7xXw/gD58nmtl3PLrVQ5+i/APVdag5Az8l/9fNA7KodT5in3Lc+BFKeMD1OH0lzmSIqqHHapk8M/nyfXuH0mkmbTvDlsKdbuKlN1LoY5eMPFlj2ai+mz8IXM546+ix41A25ZtpACp56ouzMs1dwAyTkNxZIzIEfTV3GI9ALdkY44OUR6R0knXJwo2PQcz5Jsy0vYi/N1DqF4RFIUWxEsKPNNPC9wQ/ZI2unh4j145qWdAa82FG06MoVqQDf4uRzgtO5HOr2kRMiHy3RIPN2lz2vh1+crF0TsI7CPz+E/M9NtcqVzR2/YOfTApUAmebWLHLsZkqP+Q3BDZG2talSx3ylWfNHjYhErXoFvzxNwy0nviIzqBSY1OIcSgWE52nr9jWhhWY9J9b0Xi7cGl/R+Hjcrcyx+aqqg1+WaTDIX4V6rmiPra0TFci5R7yW3k72PGX0C1LDULXV5LFP+7KX7Cfnc5TGJaq7fyfTwmDNMtBny90yaUBDLVOTR8nZTjHs5wTY1wuEf3rFpPnJXuprsFzLpMfnc9AJv9yKyz/EyvHQ/VrCLErqRFeWnxp4sy70c/CAiO/tBY8muyQVugy7fOkcPXJvohmIFwWbz2X8hm8xn70s02A3jX3JOJCiSUjX2r/dc+0QkmlTR7s2KURc+hNFniBkFXWFsDhPPirMoqtUrWoOVuAT/GkPY78iux77UYvDfSAmHJBG5SvUFrki9zxEg5V5dMMNy2c4OudbVeQO+3lOszehIVnw14C3XzFdedniFzHR/T2qUOS4uMU0mkcsoyGDx//D3stWRotqU+xhz7OYHfrm5vaCVoz0nl9HVhdjHgiSZYZ0w94Vq8xn1SEt6zTwNtU4Voykb+B3n+3NiIbVksHuOMzOknks2k2XLouXxrmCE0CMj5HU4UnZzyKNg8fyrX6D6IuEx7slO+/MqsXGqLYiGpFBfPpGKoM/R610a1jhdHkPA9mhQ+Z6Plro32A1HC1gmjc7bkbm+YGLnd4dcbn00OM4ePKc5FH/iPA8r5PwiesTs0tjDPZVHA47N0O2Uj3e/JcWt6HjwhutbTEVCgx99j3PwBQU5RZSsaC8SV67oxoc2SsTxsqGamFAoXxfbxCWPD5OYL5MnVeHfka7F3Fwwq7XSfRk1awmMX3rAkXIIiPLRe7XY7UjSNzsB25PBCcrZmxJAGFyHi3y/CNI0UX36E3xeXLDaUxDcfuBRUNgrymJBnLnBelBgzp4cHgxupwd+dB2T8sdNld7zNXvPqnmtZzPlOU/RcC42gHpOPeOvVNrKdIWLHvRIWrK5NqdnShFGehE5MUY9U6YQAb7GHCZbaYbcUNzvaA2cukZyCTaxQSFtXk10e8VxY4KEtJjj9JxcMxBxjIIsxTl6pY1IdeBWqHrEzW63PVx25dFFMTwQ3n07L94KmNCyw8l9AJ2jaLYqZBpDLTEHhWVeehRZeDlGwxy44SgzwJ0OB94MyTjG0EOnFJTIzZFfKJ5kLxojGrTOkay2GlPMSc2T4m5wcuRjeNlLwsGOTiG9l6i34wxbxGD14ui7Xtgrsp8rSGTlc9U070hejgRNVS/t3xg9PnuQzhjo3UjFuEUH6ehDMYf+QoaqU25Nz/SGZReqU/KvnuoX0tkptkfTHywvKhUbcqJUu3D56UVyovz/ok8vFcMNIhligI03Q76n3J2i6vhgV4ki/EOcyKPz4xz6lYxWu1Sinij1RIDfxcl5UmNSNAx4H3roZk+vKOZ2qIatgtJxsb6rcSZRn/GWqqlSSfuz58UhzTc/6qNfmfaFTXTokmHGKuzm01nayzKJpAhlX8EYS1RU71ZTCcVgqTonJNGBVf8ZSutHFUExEdz2k5/zNIdzBaKlpWaRG6ZXO2S/nIjaX12pc1QiCZHVQaM4qR9EtcpqlR74cihGjiRSqaIRiR75iuKlF8VMTkWyW3uaVUFRMgnYo1OUBoMOlXoBRI9wNfrhooWGfVAnq8bcHcKcQgVbgzNXfy/lmkCr0xDsXJENSnbyDvL22BtPhrTFksNTmcwtGqkHRDYplIWs+fNWNJJrru2SSOY06abqF76TbCE1uW6X7R1V4+PRQXRxEb9RgbOphDdHs2I3291F8hkeqebS3IHOpD7UqUO1TMD8wO4jU1mPJChRBLMdnVHq0bJZxEkfNJb0CONtQRHcHDyQrOp+rB6NNfXAKgN2OBeXci0sZrynSGgD3FjJgg8kr2dyYlRo6GeyTV4LffHN95zrHCat6JLdoN9TOncDs4uYthpLVQCAUr3AR6qxn8gKy4oa3hfswMhr0QCQ0We/lurz2DJKkRb3iKMQECXALw4kmU8B/gDU80Qz2TsyRaF48IKduIRng2/RjbHkxF3+wYb9egI105k7eCY3rIzRlb64hFuWO6B4eSXNelGaNMp+u5cHxuwyxZAIDX7KB9Hgr1QNEgLSyBI0A18UahymDMcUnzQCBoxCA9FPXX4zBw9crALVfT5F197okRkKTtT/t4RmsxorFvD2+h3Z6qrGmor5gQ3Z0ztGcEhr7NXV/nC9IkZiGeVol9mchwuoxkUHym0x6ef3ZVjhQu45NbvaXNdJPykiYOQwU2aWS9TVksFlqbH7lSgpqDsTmqnqpfpC9qGAybU4HoxXGqT5oSzWieTSk5sU4ulhz/aZ8t6VYk/GFRn2ix5F6K8PPKzRvISywHKsJVN3bLmJ9mBQrCUhIwkuOgvek6E7VP4Es17XnF4tT0yPi6/mmmSXMSfQ0WrspxVHfpftlcm+iuJSgauZ6oXZwFPPyxbNrV+r8nceBovCziovVqUssn/Qem3+A7+spTr5iZMr1WGO4toIYl+DGY8qHELwOzVf3qyO+Upz6ypXoJ1Y4PPhyQbGcKdHpfT2PEUv+jPy4UQc78gM3dBj0Kt0EEv6445aKzDstZSCwv/3lpIXopC23s2MN2wqmRyK2tSx4DIbGhggzQfDW054ZVPAB7eqsFSnjZeuQOpkUF7kMlEu6KlyZRggJw1oyauP1EDRLzsXokZuN7ufLmKvAvsNqiUuaA09zDGUKoQTnB0K2ebQ/QeuvqElMU00FNmfTIWDIFKUQ6zAbOsUJ3pjRzBXgcmwYa8iF5+Qw+M3x5GSioizo4J5Pu6jFB7WC7yarHRW2MP1p/PVAwkFT63pZfpO1ueHWKI6ElQViOgSMsda9eLecOVkaDkRYl/fmGHpFqhy8INennsq/Ifef6F6NVUyGWeqKJtYL9XV2VMSLaCUpHn9zfvdYksHW6zVqssX7yhqRkWAhqLm+Z6MpYViji3DP4sih1hL1BftEyWyCwIJ5RIxBuaS1HPXG8nxxYIeB+x5CkmRMz7mgvXFcb9IVmdU4Pm5X5hxk4CFKXS54MH8AqN7dyd2aJxk2ROWjqV1UHGK9DbDno8ZguikTm2XXkOtiWwxrHrL3mDfk3Vpoq14byZ6Inb9itAWVb9UMzJVIh6mzFecK4WliQ3kTNrDsWG7qjR54h6KJGYDU12DXhoJzNHDg1OHkqhytFJanMr391TKb69iAbhmj8mGkhsujdUlu1ls5l2Ur+5mzfZkQkb1Cc5OhT1fPvPE2h+4rx1sIkdprqcfuPkguI5wrQz2a7lakCbibnmJz84U7jZRMTN39c2D10cnx3G5tmcfA3B0NA+dVqEorRbvlmugD9cXgDMZKrxszW7MnqQwdLG0ermUmzIUkzyYlZM1xuJAUAWkeFpCUk9nQ+FYWBwIiicTtTkt1MVd/4khhXh5PVOW58g97fD28ESUedJqQb8qMa4eKPleoFsu/bpWV4sZlevwgtLYMjVt1Og70ocj+jwOh8KSCdge3kXUQmg09YBC1jiQTD5jhwsaIHhQ0YdmBj7fVhel3c33bBdq+4Hy5sSJSTm8OuR6HNblSSlXc92RzRr61D9Ij0vlmpfJcxzshI9U5gyykwNIcs1qUdnUoOJw8gw1cxvobmZTyWttxSwZpaiIUljkFpfTWzWcy70MGTS55jLdk6QQyLNzyzO231HpJDihoYQfOWR4DmPziws1nn/S0GYvZZgaepepgpc0la3GxkieRXgA6ZvJQkk3GGKiYT7uhfUuMzkf8Tz2+UIP6zWYGsW0ISsBWRwRvhaF/UayQZYq5srwyteuk7jLJ6Pvmsae161AVA0PtF+g1t9QVMmncGJtz2VSRlcmf6FCcU3W0A+1hKw/d6AYdN/Acyc7g4ivGnlzpNKCPOTz5H9T6PvPjIwNslahQr9SYI6dKY5Bbm4xC0ZW1qYGMkCzScPbw1pna3m1Q1+c4uNfqKQguazJ49U2X8xpGw3eyuTCmx+ZMKLGrvQ4OyLDZfViyHoBe6/9/M9U+x9EUiedVJ8xSsoGbHS0a/6dbLaRA1oNm1u1J1l7w8R1aZaMFNGi3Dk74fcka28JU0aVvhWnfCuDbRYp5n6wd4qzOx5ISfpw+X2cPSmi2iJT+tm3QpF6iiBxOFsK/HquzbIwS1Qtj4uhwEw3FhG7KXVELfS48Mow4Yfoi+jUQZ6mKgYQsjofqth+zyhqET6DUHt6MwcPVIw0woJ3iAbrgTdMcWKE9KtdDBcN/k7I7Ii8BtAGauhhS/WFihUkja51s14bCouMCpeiHZo4YBHusxJrNliGIyBC8E4c8Rp7sz0wkTFRe8RKRJM/u2Kb8xa1KBGjd0j0eQbSzuQUkJeUix30v18yyM75ENLUN0J0TAMnm9ylDOLw4O1qM89cKgUcRdnuMjVrUNJVdPbTK8ZcxoQGvXIn7Iq9FAWeXbCG9LW0+GomJzTB8x/BCKuxzH0S2TUWOaDmOv3tjmqT4fro0fTByB8qtRJsq90tPpopMc1iJIptnoud8NVKTD3I38HVZmY7GdVMHDUjXNfgHNbn4wNlND3LelHxZdVLfe5CTxyQGODjAh2DBm8+MxIoIp0cTOMavEILGUGMImdyMN/LLBXEfCil2M9lZG3BTSqu2q9lZir2WhW51ewaH44Uf1XsdWKgssvMPKkQ1M5NQu8JS3PBJ7lKETQyetjvxGOcptLElrPBMoVwEPPoe2uXmsrZeJPQeKVCd+EGtg8EOBvNwGgsMRByWowRsJMbNOPPTxPzdgvdTpl5W0T7aJPT1Xw19biICpEmckJ9PKiVRicN37K9wJBcu83u6nxMK6NvSqp5cRmZ6F0WG7tPNPL2Jq+vl7xKI4wYe6yvv1LC1iOgPb8TtPoCQe1KCnZgxiOR0d3ApWSxp2X88KqMhwAUi/lxtRiffoQ7A0GQQYP398yVikksKNH3ghp6jfwqJlGX5FB288FMYXXME7uJWOUay7CxRDRKRdcODaXKMmKJo9wmPBBPYNqwjiDqRN2OHvfz2chHRFlUQiMb87XUk9Ii3Ol4fBWY+truoHD4Yma62W0+Ua+KHGUkWeiRvzMKqehnJYnJY7DHs8dpwGPU0JnQwiiboyDCW7qZ7Pt77kUBS4orduRrpgBElBw0j6/2JDNJIUkQuSPoYKa8QzPZ8xZamYKeMQyXHw3YG66jQshgD1x5YkKkJuRYLZ5Lk5InpcS42OfN9dcVHXzKCM8umikfubhDamOIMV0k4jJInnst9UdE3Is8T/DL52c9ZcX4RpfbANrHQQOpWx+RHNWjHfOnq81hO1IaNBr0ICytf+EXSoNOo9zispwx07pAFOgpgbI3A+caHySUJ09n+glMC/bkQTaD9ht64G+UCl3RkwL+LIXdUyo0spuWWOqbxSB1UbQkc0i+f6G0b2QqgYV8Dh64JzThIqUE+0zP+AOzXHKNuj0fFPmRaNCySxVMeWa1qKrIhA6XofYfOh9NlDmXk/1uRiWEh0Xwzn71YcsE9DJ62aMixNwIKnFvyGhfKtIr2RXbU051BMSzj3bBOAMvJ7SxyyWeONvnntQsTyrq1+yajcSKzaSuiMLQ0pP8ogqH4lRHijbBGv3Eess4L5BB7p0Ib/ULtxRWTLWJpV9jj6Tnw4UCVVFhuTc5tjDKzYJuq9BXpOcDZQkp2jXn1FQ5J2K3zL6bbuqcHLKKmre79bc7SkvNU61iN+BvjN724OKudrHJhw76ZnRgOqX2aiFCQdwJpnOzYlQycJryC1DhoMd+TgYe1nS/Se9c3BCGrwHSLJTu7bIxBskgCjqI+ro9oisKnNgivaNxmV4sJu85B5Q0lcVUz6e65QAlyC2+k+wfOjzqqXAU6UX66TI/ccgivlPPw+l+HQsfQkAJQX3Bao6qYUXv9AVtijT4vMkH53KNqOTTKMqST4LIUxRSTfXqsN2cIitYROb8GHyC6aaGR4n2QEkusQ+C/XhO4kL8NPDD2alPxEuUEEFZYfTpkhWflLdc0HZQrxql+GUx3FpJJ+d7VtyCrqlW6AMKfUU1l0gN+SsxeDs2o/sNkFlyIcsCTQWqkPDmWjQLtiJ24D1BUpQecEeZx2WMETw6GvvtZs06dqDBheKhF5jS9dDeEXxYGnvDMA6CDNLH1n/oGswEllyIWOITesoNYu5BFEVTpg2xpX5hxXeZwxhywmF+Qg0XSGkxdVH9JLLLjPqYqjqsCR6wQ6EGQqO5u+AcevAa6K8UHeCQZL1LAD+e+W6KqE4MR7HBSg/VLNt+9+tvSNOxexD86tG/nU/+RExf9Eu4MhXsE2Njl2m1UmaxysdWx4jizEFj31N61hSlKnafmLpZhHtEaUn2SKPLMnNARNzJIUntohuRHdJUxMA2k6VKxLJPY/ST73YGHqiVyh7s36nYz/1ORZgamMPzq+KDuhAzAeTS2F14uopUWD6gua0oMC/gC1qsIH6SQ0ZoQA19ZPQt9L5Blo3B3jImckaGjWsWezLR3i4ZWOJqdRZPkZlC9GHO3SzZN8pWFAXV55TMwGRfatG2xPQBAZqZN6ewIWMupmYPCklSINaeKPM52m+n/E8ZfcRCLWbNqDOaEPGK6Hv7+kk5u2JFbGTQDbx+QM+ayKACqnUx7NWecriJfY2o2aDBuw/UjHtCbdT8Vj7w5VLYJi+z7/aM7EjzVjSR1O0Wk8462eQUIPQV+tu62udyz34hgignHXS3tBB+nEr/IjpLR/dD38uikdhaalFpzjWD/6/764+MpRxLQncslwyekr0FSVjwgD9j6bowyL/ekqt23kz661Sr6LKd85fD/j3ztsPoFA2qL+Z8nvQNEY4CBqdBw0YqOiJL5bocDY39heIASWCdbK3axTpSMhe5GLnmfnqlzwrc2GK3A3+jBC5afoM1Up8OSoKIwlljinaHyGROUKZ0dMYxM6bS0RPsihxi/JH16m5MAS5gs1GU1CzweU31UvP1+kwZ2CjOBtOdHpepssxONF2RmXatmWTyKQydkCissSB7YSxmL/tUmjcXilJ4o9hgVXTVhdwaLpDYZocvtLZLw7XEO/fQtfjzSkRaNMaYSxw0bjuyyUUFpCZz8PD2ZwqLUgMkcumB55rPaVkrN1HUzdoMmOl0i7cl9Riiwf5t85l0LJZYglmutZzZ1sGuiXdFf+87xqWAziVivtkP3lAeBbDztFAM9iVFkBAfaCqaW8x2/E9kAo68EX62U3wQSOS8yMsS7E59oZJ34GwPtdslPzAKDGz80har9pZMwQlFroY5ImQICN2Zou/mRj0W1FGuGORm1onpTX/Ao/uc8X+/CBPR9UV9FaWEPXERjO6pQg1S2C8rXjuRujX6lAcN216x9nbJrusPHji+T8R1q2ibdrbng0ERdXzyt50nGwxCAiCylS3+yVA/LQ3kQqWKR/UJRyswEe4j2Rs7U6a6C5IkOOR2vbZKK546eczlRKRwetwzOipI35JLA3EWF5k0yLGYL9WTocpotwHlz4X65oVDoU4+s26woupR+lqe+LdcNnDqNKPSyYewOB8fV6JH8i+LjVjtmF/P3wL4M+vUCcas0kdKL5UrUEUvNuALHqfJxSj6Ugv2eHyiJCV46FKJRmxQA8v5AG98/IHzATWx+5bswfxKBZGRPV+6lRvb491lYeSCtoW5Px6PFS0Rke+eW3tBnUl1HpZJj0mWOhnwHRUCAleSy9lguTAyTExXs5nqltLzwBYcJnGnBl57FNDDtEL/V6jd5vCOcr8itgjKSA3fMGFjke4ZrCO9mfmuvSdg+nXBjsnFqypqm6DWmu/d391sqaCVnGYfsv2BK0o7zAjxBzNbylWdwLiAdjknjuSqYlnQfdncBcZ1WsIYK3q4aezf7tj8ni467aDB3LOA1t6t2jv4nsoJd2KYIlNPY++/31KuUyRUuWQvEvVCwJJHp+torz+X5xjqKGbLXPAMfNxc7DwRAHbSfzkylc4ZbL6tx7i4GJeZ8jmMcp/XNC0V8xJDUx4Gi6Wcn1PHSVntFyzNLRcDKjwSBJ8ad/sUq1uzcbMsdwnzsc9YXMNSVofkosFyhPKoDY0RpU4GTbmL00RP582KcXm08lCMQU53PjHysFYCJCqIXa/94XUTcVgWpfaELjQavqHyDNyYEzwK+qvv1hzVk7KFrhl6sb7ckWntYsdWO+qRoh0AD0jO9k7cUYWh4JXv6OmrwVxkEM03s68WvGWzDFD0oFfrjqwqnbo6+B9ZLbANT03oXpM+51T5NDFkG7lDJt3IIo3RoQjfHEgqdwW5Ai57IwEGTheAQu1KL8nehbnSNRD6dAqjj/Vp4tvtNUNqEROaDAXcCoVnHrgh5jhRRXYDRpiN401pkw3zAr8kx0G2vIdJD1KDf6XEF6pUaggGe758aiI9SdktFvuWLCJyLkdvJrvSfgrJnKV1ONP0/lCJoODDRSaHxjIcUyh77Bn8yBrLKXuxjmmKYqqpruWPOrRi6nZEqh347BoEZN6W/kCv/keqyCCARxpFBhp8vF+xShMSEfoLio5MTepGjt0MuDkwRbAoNBZxEQz4HZOfg9LOMp17hSVVlTbFTBeLvLJK3aMTK2x3tU7bzY69Nz54RHnVoA/6+1pJAciGJge+wlK9YKAvtISSGbNWp3IQFl40qJQOcl3huSgxqFGQZ2LWjHLAIXpXvP3uzfX+QdVZW7PWx1qWeK6tOZKaW22uGfR7ytoCATASGzV2Sz7gJfm0WDGqdAXW1qPjQ4182D7QRQ5rTzg8+MjXNx9+fZnoEs0WVYiBpu8fYPegI4kFf9h/okp6kX+B/urP6GG1Mdob+MSKrFU0Y+4pdSPLk9SRWKOw3yhtAyYx+qNr7PG3lIGI7lvgocgdlLqiZmGqf/ezXLQ3/s0vH07UIb8SrkYLmP7yMw8Mm2QBtZjkstFz7EPjXkLRE+Uw+TifwJtpAul5Av8XswEloNWy/Yj5OvxPKojdkdIRs5nL375sr+42VGFfFikT5L7qH9hdfSffz445oK+6KHNtMEvxf1KJWl7ssvLyI88LMTz8yD+Q2V7ykDfzM1QfR2R7NY8Qj8Yy5bux5kcuO429JdXuVuQ/g/lmKlrZcQu962pgLmYRexpbaHbNSV9vRGOIFO1CU2U6qNUreMs1+OW0nmOTcs1HfdQuPaa4LQ0d6dQxHS47pvpHXu7rvzP+repRp+Sz/pm3t1RmYK1o4ydaowZ/onRGJJGGBZY6Li2OHqmFL1i+9W6cPAIpRjPwjnvSkdGNOolu4Jzd1cbo3WKx95TdNRXv5Waw77ek3YV+i94s2FcqnOHRiifbjaK6cyCNXHSvlBaLTbm4OpJevd0pKn4DZdelaK4HF51Hs9TmWzGrxdXgxEdf9ckrMZxL0PFIsdFQqry7gfIhWZHy9gPJ1iYP9vxC8Kn+KOFpE9Hj69dhWEnDDGDkMtibDVWzmNDOqybmHr6W9z5VK5m7RLn0kqiY6jrQFhjC+i7KFv/A4YAlgpSzxsrLed4p6K1bXIxLvesgp4tOXrhBg+feFw9f4eT/Avbln15MGNDU+ZielMr4rEsl6nciWryLqq5/5+3//c8ziX0SnOskOS34lz/+v68NPRi0vHFyu4qZwtvfr3/25BfpcFfZgf/pfxGTxmuRAwrcnuHTSfvzP/7Pf2LgU7lW781++L/+8Z//fFGuHbJCfC1PevCLMv3gRBvWI3AFhdDqZ0S6XL8eiF/E0KZ0tFQNnkrSyGUsJcvEzdiUdgW2UJBnPmOHx5z6493h/orMasvykCw/faDYWWXrSzFYKrfWT9xysMH0uGTZGOJhBX65i1dcFI0yyv9CGVerxiU/pCxaccrJDrznVA2kWqZqZ73/+J3iWRVdo6Dxkka/o1iiJlqEaPfqG1l2JnvtulkwSqsDC7f8Yc/X8W5zYBx6ICqJS/iHw/4zlSsG0hGx+AycIxwJYnX4xdB7LqqWAwR6t1fzsjSzDIpqnx9H/sp4WoIHLwNEgsKejAUONpG4eweFRaE5o0Ue4epTGDT2eLXdbVaauMCZIPq/nfD+OF72CKAtZo+P6H8UKUhl2Al80jsU+pbs+IC204OGXm8PZOa0C0hzmaMHNoCIHPscFp/95Ds9x2hVxOhIBseZw3lEuqrFUk9VAytMhCn9hB2IMk48T7XCOa2HfP1ADkvC1ehhBSvs/ZGyVsBs33INBn21OW7JdwI+xmbmyxHKiOxozke7zh+o2uQ0+oB3VWHJYm5kJMsv2CXbrrTFaKJ/uhaiuQjbK+o9RolOc8Xcg8N+t8ZhlR+5RswOUQQJ4L9K0e7u+/vjWl0xfMetFzPVJ88MLatQjS3WwqMLnqu1kCOZHTgC5mCuJBDWSZx6AWnsxxUmKpHp6GoZDezDHZkG/FBw/gwe6Fr3KVDsu/3eNVZpPxaHzC6N+rLhaKXlpe5oeaTR38n8YRk3RjPXX+U14Eonk7zcopZGO+MtFSoGDxQiOxp7TdVbiAEYXfD2VLH0DfJwV7vgP//6m5EkYWgVhap61X5mM3oz1Hg99P5AUTjA7A0p98vuAyrM3NRfUsN2G8oP5REyyfaMfFohoEm4uXZEqtHAVMBY/A+cZ9BtOdmZPGjsmkhuKPCUR1OjqDh0KGOOeXGUKEdblNfWB29n+quIvf2B4lGcSeY2HcrHn7jac72/4O0P/QU80HJHFGdwyvfczNBUPk32k28zGyzFCVscert6O+V/2pMKqGs1DRpL8dWAVbWCf1djb6muYaKDRlGsDPaOUvVByNrgCNbg/W5Fv0E9PRqlD/aDORJtF8GZoLE7iiUC9aDdBbtSSzVlWOaj5ZAWy8SpKQPIGloGFdIPTBjEOq74Yu7C7ooqea6yvxVtWfTI99dbMv1Hpu2rQVMd0uRwIF5n50wl/7gAlq3U7cHi6Ga8fPXE36RXjHX1t1YW939//9f7LZX908CAsjieTKgQPo5Qqy/Map8Wt1XOi/f9kmItUVlk4PaMffDfcS1dwpimroNq3JeCq2GlA1d3YD9Q4DUdusBOKZA6c9QHtkhCrmHLeqpfDnuyRqJU+FjVwNf3V3fHkQojZ0Q0usH/QvKCgW0KAUoFpvyNyNEKEU7LGXL7njSdU0bETWGP28NXqglWQ9ZjNIfyluI8QO4cQggKerWlxK08aiX3Zhb6bntF9hv0zXtzG252+xW90otp16M5lZwneqJ5EbXDLDNVrID27iVUr3d38xeyV4mv3V7e7fEiLyHqCDu82SctjeFUo0AFpRqkRjdG8P0PCvp+rdPJU3NBhaLSslCv41D0p6CnKiIG65EUWyybJaL6SEDIBe+y1xO9I7PQakNzFjPbgVJCW08wx+bQHZW62mDhJLvIK/5IdI0TuWpmeSQjbU12NevxoHsOnBbZQBVw/mMHG2MTaxO3VK0O5b9EKo/31cyUazrVRQb7Xu0RPFAqL3jeZaaZOcCvJOPIuxMvv6cgfuhNLFc9XSr3SCR/yyHYnRkoD0ZCib1CHu7uN59IfbVFJI3r8/R5xZvQ4R62J3h3S/oEagdnncL+9JGZLOqJXYSHao79cEcyPkS55mbc43SiLlI1oR08NRS/u9lwnaNEifLRx2f0wHMooCQgxqgH3q5EaEDchB7AGkWlxGf0w5RVHhT0SPZYARmBGXVHtViJYpJ3OC7nUCqjHl21RKZ2szWUZiwPTkzJzHXNlIdOnAPYqRTsO0UlVsDyku3Hkn0NIhjbglkkSpGf6tnkr2pO8PX9FalNi1mbvD7Ad2wkypUE3XI+8C3V0SrJvemp2QPFeB/k3Uot5NdGPSfBg0cuzAw0cAkhpcP/1s14lNOg1lEspBg09GpDFVm1LnZOqOZMrPWg75DCOUc90f3He6pNGSJfFfU+etCXjpDnqRnciLrK8uoXr/TsSmj92nJ7c7FwytmPUZTaNqxLmNNqP/I5Qu/+iUxioLrHhuZ8MODvVFoBEkeziwbLkrtMbDhIfNHwOzLpvkT0CXvGDnQPPITQWg24fGrgLUW/PhFUl8WcPzDWR5dnpIJpQIM/coWW7uEeDhpMOVnQKbz5kvTIA+llSVM3ud7NZ09eFopgoQGVkz2gVJ9UMOJMzn+FpdRWEPeFAstUj7smZqNYXKid0rBPjD9JRLQ8C8ViN0tz2HCmi4Eoeo1dIi7/LCOjqfXhB5aoOzQNTfb6U7q9nGYRATUw2zos44TOt2yP1DfKE13RqS/acbdsywmoj8kIDu5dkQmn2O3dh+eNeFgitiktpA6TtAaPkjzhixt0tT2OTAL0ywvhRfOu7QE+5X8/5hD/o875OflLyEIv4ItVv/TW/5ZJH0eTQ1mA/AIebIPZk9gCR61v1Qw8K/YezsFBsDtplwp9u3t96EFlcLsAJs9osP9wf7w1saZTq5aSWKQud/sT/0Llj0Mld7Af1KJtDne77eF4c/vlwqQccLL5/lKc+lgA8KdVImiRihElRPNfkDfzHZOak0Bo2JFjMwefDh0Pmkg11lgMdsX1i6aYaPIkr+UcdU0GJGL3yEGaQ68oZ90URfUGek9FbkH39PDKzrEc0UtHKt50wObYFcIlF8Hu3+aY4S2V2DmltscazLdyfYBFiqK41Xzrz+8Yolgk8rSov5mNuIiCDWL/gTyCr3RhsVvDPJIZbA8OvrM5lDK8EKF25YlH0V/gOUCGZGwxNT3ZPenrq0jmNls71YkwSoGcxKnZn4KzyewecgKtcvTZ+DWGTBWUyeBytJjFfqWuq2UUejxBh7mvZb02y8cpQj0fd6Vb6AMpRTQfu7vM3wePTc7tInfhlNSdJyqfJ/hAR3vQzKi2rAf+eEsxJOAqBJmwwp62Xwwpv3P90UX1jL3bk2400VlkRxV2w1Y4R/lw88lkFk/PtZkvPtxSSTxh9L6mrrHb3fU7sphejkY0e0TFCEQ77jW1pg/GkbQRi8+u6VG/UC/CUx66nu7VSqKinOKakAB0+Tyhxib0AFLz/ES+Ba6CaVCNesM5DKt8cSsG+/GGefqqA4FONev7VzLhCIVoXl+Ae65Bg6gltYsCpsd9MBDPmZWi7ZvLysyyQzkAT6iCfidTTysCiHqWE1n4lrQMEd6t86EHjgw2xEfirZNn4kzkxz0aNgrLZNsOaAlTQupGPN1tNxeZBFOYuD8ZFlTtB7hgc+qiJTyDeW5SPLUNVQUa+3mlYXRH++KaDWpzTX2v3DwRTq6byVIlUBkuAzHBzcg7qhFNG3NDj3uN/dNKPpXc2DaVMpghP15v//tmy/VFgFJRvB/0T3AEgaCtAhGdGn94+483axyBYUQ0sNjv3oykwiuDpmrQv+cSOpFWmVHMqNH3n0kp1ydSNn0+uJYsGTQGi/PxQsV6nn2hIhFmcZOYTovIb0pZLBOD5UJuEytqQhsJjYZbl1J6OxiOWvmBK/WSVnly0gSjKm5JifUR+55RI4MoVh2sTBq7/U4mOrVeix80eM8ldKKflRhWeuhhZtuck10lB1/MR1NOBZTPeyQLauwV1WSxidyrwWI3d5TiMLFRIuXvBf5gUpFRPDSU8WI5dzM8l9YZx1wRHtLYP1JMVgGszMia0mDWCp36Hobcme16JZDdekjdrtla9n4WO6VNersak0rrzBn8nxB9CksZokgnDT0sjiYM0XeU7ES7xdCjuVNsrZFcqBYXC02k6jjscXMWS6UloWBf7iOMYC1FjpTUlaPZ8mKrNh+3LBt1FWM2mBPCSWyZ9MSYqodmPLjP8ek35EYNr0rsgtKH8rRRey5BHJm4DnVaGv6NTG3KXTbLDL2hEvUm/mzZqmDQh/17SvaiJaeHAFPoPdl1QCzNlgz2jqQPjB3P+hP0oenA9suBFLwBdezdznq7oySvh63Z7aTvKFHkp5cOupACUxk1SPqQU5YN9iNFlzI1bvVmxX6mJFgCS0GD/abGhd15oJjsRP66EBe3g2KyK4gTIZq5HHx3zeXlo+tshSBUv3DKYftmWX4ptyQFs3TfKIM7gCXW26PyHMc9qzbjkUYo0YiUl1jsWQk+NclCuF3DbymjG/UqIVosVQcxl4UZXCL5+XZ+XG+AWFopM+DjU3ugnK8g9kVat4Gf/uhBZ80/EDhp8K9kG1hkHrs8ZfzM4R8pcHMijXw0Q//b//gff6T4m9rUNtKu2nK5h1fcmQ4VTeeW+4wOOCVbh0Yvt/FO1uB6NmeE6u6JhBlfEb3UI28oYg34GFMuBvuJal01kYE2i13LtQHNsKjrg11mspNqS4sbsWfc82Bb9BE9BczAVKYrLP6Kpi/mVH1dqR1HsbpzPpvZUj5G79BNvWR7ohht18vfuS9uwQk/wfBKJ8Po7WS/kv2uOzi5htcOxRoWNRa52Jt/vT1cVgyFnJWQ05PWeENlbYve6IKHH1qhj9s17nV09pTbP2gcl9ouIqc3n82Yd5SmOvWKgvNaYbne4NXJW+p9MuDD9rHAdjX7IKAgK9sPP95trylPJSqLQy0v8AsqQGGt9yxWlRn8yYs1EP2nC7KbzbczYkA2O4uYttjfUd0nBFFA4mkP2NWeCvNNLsvsc0vmqLGam8gTl2rSH89lk2c/xR1gw+rTthLxDg82JLXWrzgrq4iw8ua1i3Uuqh/DFLxSR2uNAAk9ydviNL+jNMspBbza79xcVjGObKva01OrCbKBQnq4B0/Yh76+2x3XITuiM2moZujDhuzOJ+LZFwOmyMszQg1IQNfY9xRJ5kTRUaYrqNC3ZJ4XTnEwK7bbst35BAsXoxqZyiHvCFWgR69Z7HuqKs5N5J7BznnLJQfIA1VR3qDBZPf5KeM/dLtkpPNqSubui6FJzdT5ulhtto1aAu9VKD7asanapN7EyAUpoAZTaptDxCEGb1bsZsspfVlkSKlWIPyFspBBHoVMYY1lyqRn0lZh7+9IF6U8i64P5mZsD5dRg0bkW8c4wYe3K7r1U3fSpGAwyyl1DyXlyP7SYC6QFqea/ey9QX8llT7w488++4LAdH7sR6jHnTRkpr0JzMyYsoF/YypZ2pRNCd+Nwt7sOeZJBy9hbP1H1nsi7XhgKNNrNq9HOS/FOrSCbCe+OVAEPBlE7LnaszL1HaM6SqFgo4blaXtPySI35haC3fPvVLBFzqmPxa7bz6Sjr7kpkUHPes+Iosmv2xcLznUYCBUttBCzvfR2DVPfsAhCAo3dkiwe2eXUzWqtpEC8tHbWQ76e5HWy11gUo0jUsUfwX+83n1az83uRt3XQwFuy75XcZATxFJayO+UqtTz5YBT2++8o1Q+JiuA6MQPfbHfvKOVvMraRZ2bxZLMjkQTIF3lCP+oyVIwE9bsVKoEamuEvQbpvzag41tgd42UThGgxtS72irGUHbjsWzBnhA0LwZczkYnM4cPbLc0pL3vV7XcfybTJVF2NFrxnMgrBKD8FiRX2qdxlzcYGYZrIerNk3IL1Lk97cc0sGBfbrlMjUHs1jlR4GgyxNVns9hPV47GNoaCC5fWDvVZ3HUspydwoLoUShZPZ2wv18qKeL9pGUB3OegXmarbR7SfbxVoT8g+UctWcC8ptPRPyLkwUT/EyguSIjhQKbDSn4RxdR0+TP0ShT9IsLMmTQH9v0Bw3UJlIRtJw5rvPBoFQV5/Nkn1dpzLybspS1dPl1DRReXLxkPEKTalpHkzHzq7zd1JMJ5fDbNjhEgtd3sSQvN2ix54jq7ptlB1OxX43FYvOSHeY0gkVlvEBD8huF0CyO3UqnvuKnI49z8emraip71YGhaAe+mpLZW96iMvFCSMjK2ielYLdrLUoUkAKUEbOlDnVh+PvyDQg0T7mwz4oPh8uM89DR/LB8xF5KBwc1nN5kigD2aBfqT7VokcErpyR3gyOc9VlNGYIPQ8afEVytMfukp3uzZ4qBxVwAaWZBu+5elCP1M3Qf2DKU0imdLQ40+ANSTRRxHKaYR8KAzZ3t6x1HpdbTDFFgFy7JhG5Got8Fk5mg0drctXpHyBJiFJHD9Fg0VQUC2k8pTa7ahyBUQHbKyKc5lK9YxatojI7FrvgbD8MmXN30R4zxgwapr4WvaVizyil4srlcKmb9aKSINFzvqRkv5np0zy11JgyAs2dPMzcZucjPBFelNa55T4Z4glyv1N3PV2iB4Frs4NA5hk9XJCyPzGp+xzt4B/2lOwucrcSmLo1+jWHyGD4fUUjsYNSnPOQgXI6/aCxI9mOp8TY7bh/YAQ3yqnEyg4Guz1QV0qOpwhAPFYKzcVnErxOxY78jdQcu5jJ2ZyOLVnxI8pMLmZcqqxRHnX55JYN9uNuz62XaI65B2cPFnej0kSQGhbH8npL9n3zD4+sWrI7kncHj7s9YJuVzDJ5mttysT6RDlxZpxzNdaAsR9BiNrmGUQ08kKmaoM0Fcby5D+8ZiYvy3lxKNeAj1TI1yNEoy4FXU63QcEIORTVLdbW9TMdFX+7QH5fqYiE9Q88TRIcV9vYQHV5zhWbqwaYao9bFfNPYDZt91Lpvg8buSGbN5lGbqbHXFLUmKjMRmdXYE8wLi9Ql0OGCGEmjv1O9kJ54MjX2w55shiQHZD7lB1/X/ZHsmDGx+9s5M+oeAp1ysA32honrojSpOr8YmCNQmWqqYjQHhPRLwAaTS9HMlWIzB2oFP3mxe8VofEhxzy02e8I+U/XoARUgdXGj/kIWKKWaazUrxpFYevSLBEmhXrC7GePVmxW6MV+7C+bL/+v++uNPjLb3IgOLG+V1V6t2usAyibBFdZNGUZuMIFYSOz0NGnx3HC8T2rEjOPPoI/w9mTwlL3lMCmvdT8M5me0zilg1nGkK/tRS1EC5d0psTp986YMGfzmQno1WYbopLOXXQNVfmDwECvv1dqV1nShMqXS7ytccWyioClHBr8FUFVivyDAts4GH0wQNr7SAdvLp9quvqFCfPIx4IxSSovuAxgVnu8FSbeNwCWtuxRyLD/t7qlQZbpDUvStmuVZS+UGknHOM5ot3LKu9Q+W/xm6oElTopm2xP9SbNrWYdaGamXKNWFDg3DtknRYaVG8+MME4Z7Gv67WDzidrBVw5Vl4cST2+h5SSORmHLdmHqUTk/GgB+/GW5NeqsOTtYt0dvlMBPpANILhASdjhFbKBpXC/5FEZQkAL1/L4JP3pHfWqIKaJsos5eCC7qqD7S8XzrQb+QmWzNVlrMFZq7P5wRcWAUUxQc4cTVeFXeHPBNdDlJZ0NS3v0pu7YzgdvhnxpTXiekxntVRbgE60Jh2UqR6yobNbo75S3BtlYNdmVXpGUPoKppJpjsSNdPCVM3lp9Hteq2dBwoVWD4ulkRMpWXB1vZ3q1MlVwabo2H5n3r4jOL/IGGvCpjTmj8yPxK9gJj1RFbBOlKkaL/eOO9dBMVRV6vg/0iWQKRUTDFD34Q6rLWqO7iFwEJLRr8HmVfSK8zygse/W2r8USn90s+mRdGEr0coFDfjJxqKFld8VGEDVUoUlaplhGXxwUQoU9SfGxaGCScLx8MHgqNAcnfAKdi8ZSBQ8PPMhh8tM+ofl8YajtdXJ46BUjie89KibZOQ9WQIvaAZGnsIftl/s7Kqw4TNlrAa3u9U/sd+/I5LXYkHKrl+09yRxb0cTCjLz9sOcShuVdBBOxPag/U803Iio3F9jD9mpPZguD5sTu+AoxcAcxFOJaerE4QgA5nx7svmaxGEcxPNQhLhb6JJPBsMgTruDO0eg/seSxEdsEVpeL7/RDyUNzrZoVo8kHZ6LQIQEvPT2vjKcGOkFCGxqNXYvLIZNM/icZ2G5D9n1yYPQeNJikHsyiGPuEEOoMPbw9brlUsqmpGBqHmMEZyV8nEnXXDZZJJQWlawnF1dc2iYhGijWfq1mwe7avnigVsZr1uiPZXFye5Kae8OfzGuOUmoQkZQ07ESNfCOsMsgpvB+VENRpvTqk+T1i6SgH8WSI/Fidjt6USsxECyX4xZ67CTB7m9GD96ENJyelaZGSx2Qz4M+mGQDv4YtaLclGDf0tsa7tPnLR2jzzuGnu8P+VNMOLaiQrWu13sP5GeiO6jC+YycZJ+eimSfHiw4ofyY4DquzsrNbn822d12Z6wny6i0fK9js2lRz8GWfUESoPQfBo0+hulOaaCnlTy3XOwCKAbMv0O/EbFfDdFmfzMHWPAFGfylDZcamsGvF5Og39dXrdgFovu01Sz6MkaS3ULcFFeCZfsB3+n/Bggam49G+zIVgVH+EA09heS+FuMvxRfsAPdbABUwAUVaXrclbcJVMCpZjtTRuINaEZVS8rdgLdkQ6nWSy1mqlxLBjSuxIP66i04/aw0hJacnSvLiCv6dK8GixDgZzJ+6QsS8y5fKtgBQWSsHXtH0dU4VPx1e+c5AgbYiWJu5cX1Y0gmEjrH2qNxw5ULorA+l2rOBms+ONllu1jPbJTDesfwsjjQx4sKDn2rj82t+IL+IU79WIq3cCoZMQWUH9f8gn3kH98cuMzsMIqyNsc/7hZT6YDEEUGHbtB/ojKzG7gySjTYFfe42OLIFh00aEc+KcHHZpf5wV11logf/GcdTcc08kjVGpYxV5CAa+z7++OK0zdGOc4+eTvV7ZHryIraygBJOYMPbw8r3EtgIOsOvcnMWea4J8EGkltqBr3fHddIz3tGUk2xO/uFEpMJdbvZHsPPZ3cVuSElIXZvZrqTe/uZzGGOBZJC/8CW4j9ENaaHZL/4ICMUh66d0dz5y8rmPHjfQBr8cJSZ+CESPCJ6vVvw3XYloQWdQjxqTzVwJHtVNxecHAyF/bcdl2JW5dbLHhU1tNwDCgtaq1DsfO+onLqKllWuG+z9bnO3dgVBHSunOZsZfyf5vktIKZhh3zF6s4ceiTRAjf0TRTqLwIUY3wbLOaX9KDrdYqm4hjl1uvov0Ido6f6OTMZrxYV44qPPt2OF9w3dlTWWqj/PCZ2Jol1oMlW7oO+U2O0/slxyoj0S4sx6fafAqCNIoZ+6DsNKmndAcrqGMj4O1NZE0YItlnLriDLnnK9psNeBIx0KCYEeO12OGb0h19tgbzZ3lPbtEZ5y9QcuE7TvUEFPfvnpQBed1CcDVp0OqkEY1G9UX9ltOm7IzJSQc7Hr9Z3KTIlgT/b5zeV7/JKZ4tFzOPhzUaVXXsPSGmSPwl5TyX8xw6mSvQFz9obInlByDAZMSb0BKn+S1zga9F/I+vPQey4v2Ed5Sz2nZRRNGM+pGvgbFTedOqwXu15/IhuGP0T0NXbDef5Ft5QpmwNC5mvDjO7ofDdHkyEHmNHV9WK+ei1HRdY4gsBQoz5TdMtJnjTnLZarmG9iCZZczcEYSVoT16ud6B/2FKsJSlVb6yfO1HlSE7Gdiyv2XGy/kh0+UynFSo7t4R0ZbigBJJ76YPzMRhtcdvYa3WyOZHi4BtD9mMvA1BH5Cn4Bez5W2EPRKzzXxcnYkyGKmKtfCLqPVKvwMnYxg+063W0Pny9z6uQs/617yTC5XWWREr2hDhpHEmKCSMVN3sYZmouqgOEZFYTBfDGV7Zgn/R1eO4XdUA8K2s8gCqOxU29tKqrbJm6yYlbsX6igbhxLDFBZFHak4gSgcmrFYv+Fsne87BPy2TX2AxUniKBxatmuF5iid2SANtfW7ILdUeWP6JgbXM7mhH0ny/OR0m5XjIvbwQvfW/T2fH6lGndGtIEpds1uSYb7BH5bs1xkbSsa9UQz7JFq4ixyuqdqr9RjnfiaDeCQAwlOOI3+maKfEm26gb+GEASv5acX9FF+xg4XpD2/eeimOYUatSCZdupMZyQ31l4Xd2J3WUhXNAn0p4w/wgYwaDTLgznxh/oGU+8JT4csJqn74C5VY98zZTFIRPSyWsmAbxiVGJaSi1B9FHZzJOV18SK/zIpRTK09yN9wXZpxt0eyEUlPkzNdwUeyLRJab9mhf+GcLhHfDVY2jT5M+YuUyifaphMVO5pV+5lUNkVddPacTGWMnCx6Il/WP/AvlCRCxYqHIaKwbEagE6VRNF0L5yptRP9rZT70dLf+i8KKqep9sFO+v+aUR+xWXxzU8+110W2jRrS11iiyKd0jHZ6Z7B3fCjSE04tMtAL1EUV6/Tlmw8hekZ7oKF8N+AsleTPoqEIbzMDkUwN9N4m23V7GHqgKGzA7okutHnZHNvmAd82uFUlx3eBvbtWOTBLPoIYyprCY72oiDrq6iXoOf5Ea95bs4ykXoVjsHeXYF6kjFrZdLUrVlAsoSh8yENRkR14/tsv8M6OjpinbA0qbwt4f7m6e7MbTOqpc4AgzyBxnsokn5KRHnEvB/4UkOnWuNjs0XAID1Xi9h8UV3rBdjVqu2WA/r7QGETEp+ridKsXpmtLYWkcenML+l2jVl/Qz8ui9Xtv8IZ1zow3nOhAHV4L9hS9UBzggpkiGwv7/jV1bCsIwEPz3LFLybDaXEMQvjyAiFkW8vpmAld2AnQMMoWmSfc7s78H7V4ls9qGGnUZyHB9pvnULsPWyHFUOHddJfB4+l4v4XJxc6dkMheaUUuGxJYdZ5OZnkdnTOZaQzIY9X8uy8VgiA1M9CnsKeWHcLLTFoSnWYDn9ptAiXPA2NPZBlQRhhSGbp7Enyi+VZpRmJAS/WIanXro0K+I1tSLFFRXIlHaTorAHildYkB9Lgdnh4YXFCFxMi9Jf+ia7+NDUbnf4TKVcIdwf83Drr3uSkeMEg73MSb6T8vsVTCJ7DbZ0n/LU7p0Xs+aN4U/iHKde6lXYtTn7+AHxWgpWDQplbmRzdHJlYW0KZW5kb2JqCjU3IDAgb2JqCjw8Ci9MZW5ndGggODIKL1N1YnR5cGUgL0Zvcm0KL09DIDEwNiAwIFIKL0ZpbHRlciAvRmxhdGVEZWNvZGUKL1BpZWNlSW5mbyA8PAovQURCRV9Db21wb3VuZFR5cGUgPDwKL1ByaXZhdGUgL0Zvb3RlcgovTGFzdE1vZGlmaWVkIChEOjIwMDYwODEwMTMzNDI1LTAzJzAwJykKPj4KPj4KL01hdHJpeCBbMS4wIDAuMCAwLjAgMS4wIDAuMCAwLjBdCi9SZXNvdXJjZXMgPDwKL0ZvbnQgPDwKL1RUMCAxMDcgMCBSCj4+Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQo+PgovQkJveCBbLTYuNjcyIC05LjY4MDA1IDYuNjcyIC0wLjY5NjA0NV0KL0xhc3RNb2RpZmllZCAoRDoyMDA2MDgxMDEzMzQyNS0wMycwMCcpCi9Gb3JtVHlwZSAxCj4+CnN0cmVhbQ0KSIkyUEjnNVDIVOB1CuHVDwkxUDBUCEkDioQkKwCJciChEFKsYGgAoqtAQkUKFkDKAEjqmumZmRsp6FoohOTyahiZGWqGZPG6hvACBBgA48MRiQ0KZW5kc3RyZWFtCmVuZG9iago1OCAwIG9iago8PAovTGVuZ3RoIDY3Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KSIkq5NV3yzVQcMnnDeQt5DVUMABCQwUjS3M9M2MLAwMDUwUTUz0zIMvU2FwhOZdX3z3YQCG9GKTLEKILIMAA09IONw0KZW5kc3RyZWFtCmVuZG9iago1OSAwIG9iago8PAovTGVuZ3RoIDE0NTcKL0ZpbHRlciAvRmxhdGVEZWNvZGUKL0JpdHNQZXJDb21wb25lbnQgOAovQ29sb3JTcGFjZSBbL0luZGV4ZWQgL0RldmljZVJHQiAyNTUgMTA0IDAgUl0KL1dpZHRoIDc0Ci9IZWlnaHQgMTA1Cj4+CnN0cmVhbQ0KSInsl9t16zoMRNkP+kE/6If9uJ2L2UPHkqLYVpLzdcOsFb8oEs+Zwe32t/6WV0ZWjhqVGb0qitcYI0a/3G5zRI2s86fn9n1mzpyjygeOXlPPjuhLdFVm/5S+om+NHKkf+19vms/O/uL6jz3z5DvbNNv2dkb2pDzKmCl/+kZdGaN3tA2fbj+u9mkqIBxRMeVdn6nX/jKXlXs7zg+VRfK8A9ThOLtqlkIyuaijrxjViFcW/tPVVrQ9OWvK666V2X9tZGexI7Dxoi1WQh1z5bU3JNWUyoQ2lD/2Aaq61C7+a/8mZHPw5ezDcpzGqR/r+prUEgnGmjZSR73M6HFdfuBstW/krSg2Vb+caJuSatncpi+oopKj5SgEaZfxckJtwtM5VlR1Wh/cadicFFRSl2SlPNfdylJ/6EM6cKo0UqVWPK24u/EkTG1JIFcPx3CN73vwV6L1xjoUxac1KYDuwyd+vbvmm27VFD6OcoF2bt0cmc6njFY9FhnNbxXj5aXCIxLup6Jw+htjVAeHtOq94CqppFUYKrtPfacaBoeEPW4qWvhKmFWUgG3ycJ8oqNVt2KjkCQ2IULl3VeRu5WtB6wRM+1Lg/ZjQjkKgvGw2KmuQnRGnE9Q7w22T8F258j9QXtlOH7+1qUjuDY47jUsunwYuyXneTBJTu3Y6uvqO67X27TinzC2TGAuGCUEpHCnQ6C+WU2nYEaAQ7srTiD9uOPxYQekP2LD9rDvZj3mop8acAhcV0hL1g0+PkxT4Ua99fooDL5/e7QZbqQEHB1AdAkzVy5WTdq9zxUv/rQam4ipBledkvzlJxOhIqRgHKVRkjO8f2+ZrrWJwCms5cSMiyx0RxoKoNHWrJAF7MEGFsMcC2B4aV7KhhqKyS201DRBwT8H94ZPo9k2Nnym1g/uDcnXj3l0YVg4HfKKzv9KE19ZTuwqho5bp5glYNsErbN3apF8U03DH0/CD3Ce0v9Sw6036GA+i3H5vW/n47Ar70nJsenWoUFAwMYHgsmqpm6pv/hvKmmvKkO9WtwOBWwjKFLVKEBmTgRSq9uSkQpikhR8wHwwxZtzHEz904w1U2myGKcOWQWpo3IGO00mCQM8+u+c+3zFB6YR21WCLGkUlQTNMBdAxKDV3TCs/dm/5Tr8uIkjUZCxFYB4mkFbfHDFguokmQFw/NfObC9pFFLjT5R9YjIdw8BLDymbAGVYspq5tnGqq9wLqPlnpXAR3sFOAFh4+zyDkSyc92MQS2eGZlalQMb0Sm54jLQJkdx8onTWYS2McmHNYVTonX15yLUmnOyzK5liqv5bqA/cPjGB4QztlLMEWHi0UUJW4Zwa+yVwnwjU7zMxVvcWQRx2bjxiBXvrxWKRjrlGL9FbcJysH9NeUQ7ichFBVyO22Hfl4yB1BcQRtFUCQZmL0uFSn+S1weNBya6rYRzzSBB1mkKi6T4U6CW5BOMQNjR6hujeZbpHGwliWeLJcMMxnsOAnkdkv0aRnVk1IwScXhfp4GycPl4vm806RD3ovVOXQbIV2FxIEJaYjrwjnMgP3HaU4CRFvUjHxkim/v4Lph5r0cJhWNvXJ8svLBzT+TdSAtd1wmLOoLX10jW1vo+Ru4K/Js6jm4QAb6YZHNR91zw6ybl/jbLKULAlY8GwAyOKWWc44KBDLqkFMdicZDgXPdgAhCn3G+Vjydny273h1waHgnqddgCJyIWloPrX84spLNpUFPcUr1qAdTOwjr1FHwPDOddqoYTguY8FEZFBvwqm2WOL8xKbiqNVtZA3b/JVRA5yZptaflevrmUULuS8qmGQfmiZqoJrnFtWq7OrC8ED5UeMHzES655LbjDuUJdXePVA83OlUfZvPaBxxR+3xybcDHbGozJALSMm8lMin5sXWVgeoqadd/u2Q+naPb5knx0hRWO1dGWX/1t/6363665BfXP8NAEc05AoNCmVuZHN0cmVhbQplbmRvYmoKNjAgMCBvYmoKPDwKL0xlbmd0aCAyMjA4NAovU3VidHlwZSAvRm9ybQovRmlsdGVyIC9GbGF0ZURlY29kZQovTWF0cml4IFsxLjAgMC4wIDAuMCAxLjAgMC4wIDAuMF0KL1Jlc291cmNlcyAxMTAgMCBSCi9UeXBlIC9YT2JqZWN0Ci9CQm94IFswIDAgNTk1LjI3NiA4NDEuODldCi9Gb3JtVHlwZSAxCj4+CnN0cmVhbQ0KeNqdvV2PHMmRJfoev4K4TxyACvn3h/bhYjR3iO3GjtSzzcXiAv2SLCbJGpFZ1ZVZTXF//dqJ+gqzyMw4SQymRUp90sPdzc3NzM2O/f7qP1/9/uqv7161sZfinCuvnPzfy99yHGtvzqVXtbbRh+7iq3dfX/35bRrdK//q3cdXr6//5dW7/xpO/kAZYwmhBf0Dr78A9erf3y0Gn/1Slj/6mns22M3dSfTsb6WPpeVa2qDR3wmsAHL1rtqRf/mXYRXb2thKcsks2evD3f3+sH8Z/OSSeV9Gu+Cvf/0thjyBT8AGH2SvQmzFIPfEfH30Y2yuxRfsAOx/3X/49JXByzZX32o0Y293k3CsgEuWnUrVisjh2MCDwdY4hlZbN9ib3fpXD/LBo4uh2hW7ZWbcw5hcTGbBbu6utl/ObdOr4GWpa16Ix+aaEI3gRTBjD/aLd8RpCqFimbNdqtu7G2K+IfkxFBERc5o+3F8dGHiRfXLVCOfw+vf7zcpyNTfG3Jv56GtCNkTpiP7InhGrxahllBmn/gO6Q/7lMcbW7VkYCd0xU7dFdkvW+wH7lplvCaJqexaIBu9Wlrgm+Zd9a7K1Csco2VrH4Gtw3oz5nVGUeYyiJxfYn4m59og1dtUu1DVx7HseZXdiqwZLKUoXxtpayC/Yh3O/2zJo38dWa8pm5KcDOJzDhjSmWher9fH4uINW727MebpIFfblUllRlLGNIU7Xw+UrlrIcgly6WbHpOtx+YH5BhMzHFLod/f729sskZ6eVdBOV1zIpJWrNRKZFBcRmsds7YtZD8GHMLS9WbGQUCKRErhYrYz/tGLDc5FkOlRXuw+drQshCEvEuOWZuo/WCJTG4iguvjmmRkwPmMIaQUjW6Z8NdKm5M3iW9yMPrw/aOQYve62Ka2rnebb8wKyXaSzYqFoPe/InQXjM1nyvuxadNYtRX7mOPvfpiwDc75jiKvSQH2YXwgp6E6zMx9Cu5i3sL3Tcz9O0bYsW6H+VAFNiICvwro8CcG30O868+alOfMY7LmFqO1f7AZ0pvy7FIJdRmFo0znWAcO4HbVXsynQZa/Sn474x5LCaQc6FZQXuyulYWrScxrkuw6OuzR9r3IhvtYHepxaJONPa5FjvV74xp7OSOelAG+lh8ZGxjsavFtl3M9GdKX4c+hiq7PGjwW0pdpzF7UR9m4DvCfhJfD+Zlt6t1w9jGUPShZzvhr8zdJuori6+3OEvMfAXhS6r9uPo5renT2FIrVuftmalWP8qVtjgDV8xUax5T91amPm9WPlccy9pisbNkLvDZ3ZDEqU6w+JQcn9Ox4km7WkMMBjzpyTeMXS1Gj48+VPsDjJ4cvKti34oCMOj9igfi5fiVmiHJT7hpvbZc7MKJZ+qc/eTNJy76kNqYUvR2wox2zeJJiFjakW+YpYLt0lKyO/WRmXGZDpGzy/WWNKZdKPaTjTwvoix9zN11i9p9JK1heE1yibaFVHF2Xoji+riczXw5rMxX9I399Gd5Pm8OO2jYaOX5ljKH85itYKxHhwq8vIAwixZmyhzucvp9CYu9PecjTeox5tbt3jJzFIOweLc4AIfthjFkXzRdLDA0nrQFY5IVcXNixoXwhKVFQpSkF6WBmJIel7AyZLGa6DfEKhWWsjLEGIte3NFswD8TH90hiWKghEFjPzOS0XF8S4xFDTy8/oOKeIgR6FIr5qO3jIKcYp0V2kZ/NOPnIFjishgMBvzpMxnQbtlKx2q00YsPKzdJtzt0Td0GIpIlBos9MHPNYt802SKD/U65F/LnVnEbqMmOlxkbPo+xpMdx/3ZDGhu5R8QbFfgboTnE945Brv3AYa0XWsXmho5UWEZtiGEmnlRajPuVsLe76A3xL+AFKuzmH4x0uGnGyS4WZVbJMRInDqE/hf14fyd22R3lwIpstuSTWbLNjnEEJxFLtUz67wU+cOJZ4hhTKubb9ysWh9xlOS1mTNmDYrPXJhtl5so8CYnDLD6VeKDRzPRAPQnJTdrF8zUfPTedz7iv4lTJiegGfHdzVmMNIlJj6C1agaZM5xCS3P3Fz5Z5eBCLD9STUBhdD4sv5uJnWS7DNDmvWiIP1+fnK+LkXV+sE/WGJXZzFWslmelSgbNQy5jKFEvWu0vFVVsa5ewvTv/t/rJooSiR7qILD/Gj7dfz7zpinPXWcegV7ma3P9xRhrfYDfLRPYeXkQdW03oIdPKx2a+mXsC9qPga7YzPi4afjsJk/yoUde5DwOtKbmamh5XAhI8Rdi/i/GpMZl+9eBcpp9gNlglM+JRkdUOzq7uhNKScvdoRQNa7epnFUFoUu8PLCZ5s2M3XswpdhFGs12Rh2/0bYrYtixzKH7xBU7avnDznvPg3z9iBXOVXXS6D1ko3w95TWRyujGJopGrAhxvCU/CiJXxcLtf5Aw8hbl5kUc+UsxAQiGzefi0VdfLi/LmKa0SD3zKR/VxEM6YeDfYbZVrIfF0pddDYz1RUXvQ5nCI944F+UphubFkwb/fo7dOj6pksDrn7ei0GSEVSgpM716VwOXYKo9ToSljIxx8r4czY4EwF+8FX6vQO52K+WRwFeosHnTci94+zR3BDvYXWCGvfW/ngtleubDEWlvJxc5mWrJNdN437/p55yKhhOoi1K+zHu5uvxHp1vGmKN6jBb0k/v5Tg4zBHbqishiCaDjGROXJ/S7hUPnjZ3iqO+hy6vaL87Si3mKvijqkPpvyZJIBcip7r2lWfkRDgkh7vORpxVkEWWVvxgbQ4rEUjBt/EDOol6828ptwY8Taz3F1PSDo4hpy4UluoakxGbvHuF0JoGvlbjOVUboyOJcJ6SylrKbqi8iXa6OR81mO7uaYSxVfMYtWrQXcb6vWtj+Kldi0OB/btLdXktdBTHheeVmNLF5/RkGFQNDPmfntgstKmTImYoz6l7z5zSXh9FCXuoh74Eh06yEEd5b94cC5/ZyK8SDpuUZziGfR+uz8wWWkyV7EWu59jN1cHZrLiL9VSCoyZFywbZPUh4aaaDXoglW/0zqshH5z/Yd3l8WL/1DmSid350MZccupqyPeUkdnH1lv282nuWYUdW1WbMtktZ9O/cpMrLcU8R11tGfu7yJ9rDgr5YeV+EINSdPXTJ04ad391QwadaiynpOaMxp1Cay3oVflOvchlmN1Obf4bStmKAephCj7hHkxmUtmKwe3V51IKM3rZx6w2g8xMH2B8OhejFlbKeiz43J7CfEMP5DtcTqWlV2tSPiztVbl/Xbp4U6rcgDlnrT6oIN7MUs1ieHZcaA8ZA5sP14S6RP59DR4WnMLvPo0XhbYK9liM3gf0WyYqIPvTYo8Wu+Gy4LqbUliesdP2fjp/xMUeE0MD6ZF6yI+MFHcnVvIUENPgq5uvZGqF+JW4RxX6dsOFt8TODr7Y+VIB/CDevdww1YzMuH6w0b0cvmKwpzXGYHMzXEvJDk1djBlKw/dBQ/fkc0ctodthmeof3BxZ/mRF5PjrwyJdDy8IVkB+YbO0RcLEVYYFffmUu5j9IiBGPqBlt2TKcux+cY6/EnbIlKEhF6eV7O2OuhpEOKPv4XIJGYIYFa7iKYHZqoVBXVAPs1ixW+qCEESq1crXc3rI2oo9p10YzXdEew3LrDR7GHeXGeMBKWLlSf1QGbBFdFd3qcihmKEHZMAyb7YetWUe1rwa+0AoILGssthkUEAK+/vJDFiTdyz+oQsQEQVfsQSRiiqGZx1OfvCrc08fuYdmP5gpqEHGRHXIBNDY94zqEePMtVIsdnu1oQpE6tia9/ar7znjXgzn5PpMOvhXJhHM3qOzA//CXE5iK2WH2rILNnfwBcFuF7JBcU/TYey5wFlTM6WibHLom3fRjvvl/Dt6ExehpmLPzs3uE+UlOHxvT/bkbe++kgFnX3F7q9mKzvjIPU8n3AzO249/yB1YU5IiGSGVkhYzP37yj9jiYlwutvn9PRWmF1UrZvFicCom1cRJDnW+6NOy/ekya178tJrzk4p/Xu/hfNhEvKyQvUEzpposV60pFIu93dwddswL1GThOhfgWqpfuKFSYn0du9jW7QX8kBI7UhZuR10L5EyN/FxwNayk1nSxGO1nn8iYHpamJvLDm0U/nbCzVSEVj/vUXi2iw6E3n5YrTVwyPcsXT69X+otNivnp56AgiqxNDyvMgtkwsdw0firp0+jtP2+paIDcrvIP+/FbvogZYSEjZJvdFVUYjGfs6Vwfl++BO9iik0PPvdBPrFMCVpkGVtgDF0ntIYUYBo1lrL6aYdejCkJjf+GisK0mDylTWCYK+5TjZ8dlFHdPI14qQ7Rr9ZmMxmZk17fZUg8XuHCvwOHQUo9HP31YT3kV9ektdvLhvjK6CCUJuSLOpn6ASlEsCcmvsKUUlgpOlC4bFufj8s9VeMVPIVs5uaFUd5sKbfHWpcBMej/UoK+LjWL4H5AKlns2J2pDvnTVtNiglQR/sSKiKOzKbc1gS9t6mdwnvUKM2zc52DnlZNE0Z4QcJuddNXJBcEaEURwDF35AeTw9+/vLlaVYfW10MdmF/n6R4ZYhlDE9zvW8o/lCrvOMooPNBUQGvss1rLFXN3d3ch2+IYkUWkrR/AIXePY+TtGqbGb8lszWizF5O/LHLZV7CjqD0sVTXkz9K1n15SquUzP4zd1h856qq20er0vdbtuWfCtqSHswy3ZgOWvSQlpuqKcmQeTkvcG+Z3J4XEaNf80/MF2xNGWnvW+Dxn6htKUX+SzJbvOKuhT9nDKYRczX/sFoD3i8GakwF091CNGNTjwoA/1GVREXUVp46NRCQRUHIalArt/UzMAHMou7uRrsEv/C3C1FtqeExSl4T2Zyi1magxGLtbt3evdJYSkRRDwB+d9ybZcfkgsx/b341gvw/qI6uVzlNNSorjPibnhC0TXIMOZETyRvRrwlNIUYcz3UtsCKZUQIRQMdSBfjyqCp2h6Zccwl5EFjGV0Brdpdj82MuzmvLHoRFyfWZLdmR8WWkfDUq11jjlPCV3EUgi9mrlxEfXqWK30uG3yVC5JBo892ykur7Mi92SH6R8V4rT6uTfkfFkt98KRnsq/mIHDFS8gBEL/fjDsSB2F2bFE+lcUlPacbNfOhDOamMnyNfcO57CVgnQeNpd7FRZ5dwTIrKJPK2cAgKB6gN1iGjaJBMjLYKDR21ZkCL4zMdDlXKknS1TF7sSPVqAPns8r5S06W2a7UHWVNyVXfu4AM+rRjNNhHD9mkYJeLzCSo7jGqbj6dyyQQ/6iIhZNf0PxpQp6TeOv+tFSfzS7NzjX71afT9YdlrVsK3S75Kq+mGFcB9eI1GxnjXjCciBhCURr7kL101gxFdkvxi6PIvYrXhEKQlu1iUU4sHm3ko+05voy8JKcqIu4fpYN5FRed52stLr9gafek4PWh+pIM9o7QtS+P0xrLXKTVj6k2+dugsVsuPJpbxo2isV+YrKs2+jS99Grs5prTttEhiqSxzP72OKbeU01mvqTRghcewUQ1MpsGgBymJJahnTOTBoCUVddE1xvsegp+Et81xtAMkLpfEvItWq7mMLDZS96nhXBQifhyklzqrRrsnkp8DWPp03G8fL6iskLK0R6GtYesIA5DD/HYiMN6qXdqMuTiCJ3Lg/HIlkzNbinHKj3FX8R2tpOk7j+5w0SzNru4mz2ThO/kqwve4jX4LXMfiLUiJnSyA3+gorgB/HO1BAPmnvAjHnJysGfgslLTPKWIicX0cGW/4cgponeTt6HAG/ItO5cIj0FhmVtM3AQfc0fASmFPur+WfivFGqr+6oG6T7rcJwJ2dsZMtkMX2eodrJBmtdYSnTKY71o0k+Us6AQCzWY/F1cJUzgm/q8PsRj0KQt6WPK8yA43C6eoJJFY4pKz2ImNlnmxgmZv/gVNBPpBc15aiFYit3dvqLRSOXo1+WbQFDONiGTO4kMbLJny7yKSI2o0s+W4IMXF6tHn03s0nAviIsBvhetniicdtSYxRoPl0kIjTBxwaZulpnhGkbNUp8pgffzXX7xQXt99tef3msx0Sqm68APSgaBoFbm0knVROoQWDSrdZ3Y1+DIW1xbLPJzvDFFbmk6/QjPvvmJx+JydtyOvP/yCiED2CX6kQpKxCj+G7hBdmYHJWIUD/VdMwU6Xi1XgSaNlWJMKzcYqksfVAptfwfekAS2GobMr9jNlQIv/nJYSQl4vjykJaTnpLUXtgYu812aXfKQ0rrjdcqbsinH0397J7eLD7MOHC/QPSj1E/Xh7rJinoNDB4ensZ3NJXRGP0ckeSC7LNCHPyNXhcgFDOliraaEIqES4IK5SElfAgk/VtgzLmq0Uka5zfK3Px2hA69wX+0TVij1UAdRgJOTXy9SuA21He3qd+SejdUEtn5ZgRuuWBjqUAnNPD3xFsX+3IrpAfKds4GxWF+IWsSHd4Al+waGaFGjyrp2Y9/mmD23MfrrXFfbEbTNo3Zlkm+2KcbdNBl9BzWLFKPCO5HsTP7XYtSYV71MRrQafiBAttC746ctizgeOoxaNEyajQC/1R0rt4t2y4jArCfmZUroTf3GNZuDnx/s1rVtDa1ZA/qC0bhpjBMuWOVRkOyBBBishazze4neJH+LtkJ+ohP40OpEPe44+M8oWujoWZM0o7O+MYCBA7LLdHopCX7S82F4NhetaMK6JBLbQ7VQPZKqBmNXRTvX7f7so1SB1NOWqTzkZG4qUt6JHVAR1zTN8MJxv5wIncvxyDGZoKpOzo/WRUwM/WIrHX3cGRdkAfSNmi0ZyzYAKItKpDhp7S9Z51d5dNeNu7z7e3DFspFNPHhflTtM/sNldcYUHfQxZLAiNXglD4CldBrUTpu6F52dHjcUlSswWT8Q9FLvBtxvOHO+Qj27RB5K7vMeW7HdTtpZrqGxbnIdfqSulgBI42x36uKWYy8WnRoW7/eov1L3gxiSfHX7gSCD+EdA2aTg27jkundpaycekcVhnIY1peQ7+QTHxFLCLpcUhpEpJEgpw5L83MnVDpjaLtvPeCAaV+4ZYT43VTnh7Pv0m1ArG9NSPnvg1f2NinVuo1y3Jo+Z7DclM9Q8Ki7YsuZbT4xLpNwmtmkR1FNMI66zD8cxtrdF77hasJbcqWlJhn72kNXJrkMSbcakMHLnuXciuG+yWI6cQZYXCE4294mpmQkcOnFlosiwKNTPNlfmUf+CJSBQWrLReH+596okoja3XjkOowOQT0WMbLY295ZrLlirKbtBQIoJYxVZxdfnBDFEL0g3F8M52qSheCo+4dK524DU60ocH+2omyuUZRVQJ1lLUkMPr+4+bq8P9HcdpKidRfJSQ7XpRbbfa1GKyFita50kW4IOKCSzevlnmT2T7K2SwBrNiH9hU+dxCiGbF/g9lbCCjzFUrzpRvhaIksc2qwW53b6isdxSOeVxLCn1NGhveI13xGTvwmVkybkaLCD3u/e4fuxvG7Ch46E3Rzvrb7qIiIw1mbIe5j5ZRLZgewW8vVJgReRfhccneUaGsin5wOfrygla3xLCSsiRWKWw8hf1M5SzJqUqugMVZo6k2z2gqNzXQ01iysByp0qUUs2BT3iGlx8pDKq9dsg3VnEqMzIpYrQa/J6s5Hw+HwnLVnGJ3yWZVg93fr2h8XOAZ/W31Yn0li5N6FHVgxtzcne8UgSfm6nqy3/p/mN6yA4ojSwzJrtKGTW5JzVUrGx9vVtwd0T1JDB77yRQvBTgxwBRphZmsfhdhKs1gqRKjPNU2pmDmuv8L5bJ4kGks5Om31/63f6EIjx6Yiwz814sY5lKYmnjO6QqYuHDtcMOnTdY/wBjzUQAl+/yCfazLIrsvVBd78nbkB109rJvV4haHZtC3FBmQGF8OHKgau26i+smTF6Nv0EiK4UaORWzzxSLK9UAe1FOGaCkUVYEj2rU3cB2bJbq7IZVkbpPNpNBkdbMXdy2J2qpGNji2tijuaW12bykqCSjM5FKJBvwzRdLsQX6U7Yp93uzJTMKYQ7NitfZoEMUZj6XYlaIagUFfloZXAz3m72R1YxZz3K7UPccgBP8y9sU6r3U6RWFJ7MPl2gaBoRod7ByF/f7fmNfs5sU+Q26qBv/2OjyoaF7PejxO+yUR12kiTzFjRZohVQpLt2Lok7oqRfwm9QPrxR3Itegik9EMvac86jx2DxJRjZ0RbpzmrkcXIA+HWkG3O7L3S/RoY2SWi2XF7BXBwyfswDfHQoK3b6mZgamXbBHO3KZgi8ISL9kNuZrgltNI6kpB0lVx1RvBWO9gXcUmtPNkLHYUu4v/7xdrdEe1ZfZ9DMEVK1LcnTKg3KjHEu0i/04+VsLGq5PJoIRjTWO5ESTbmRHHYcmo1EvvVpQpCuuChPga7UpzhMng+UFDBj3TPUm2jHJ5qzKYZLrQUJyJNqmklhyOalikKiT31AqF2VrZoy7ucxINqcB7rhq8OLEaihmYyedALLzKWtmPtqp9OBPzzGJj4RbVP8AUszjwNcMzVFCWyqmArTx1s2Jk0k/Eq5SDGpihB+5pOIq341HqaNZ7qSoXj7oFaeLN7tSGqrHGNZzQil6Dd2SkNU9JEs/Y4YK6MLAjBNRm6pGftN6wnmTuInqzE7I9LIOm4k1nu9QfGQU0KWtk4Wnwz2SmJajRvFmwz1zgIcFE68luFdeLMDtQ/y+O86dLEmnseb4gkSbY83hRJs1cPC/IpMmM+jiRSWPnemEmTezwmfoj+LfX8bg9vcxRDwFUcIPGUw+QYZR1Kt0MTdH5y5RDWn72Iu43mDiHd7WVtBiRiJGIvYRaq2omej7O0Bry7VDEqlGPRXzDal+/3sWxawb9nWrkK9qmR2dX9w0Vie5jysjW1ViK88rjwQFkdc9YvppUXDq5UcTd0OO+ZCqfp8sC4RUMHo0+cE0uxUnKLtul/mXVNZti3y24+gMnAGWsMt1kP/mBz55JN8JdCIb1Y8dgPfc/eyQtaCzl2+EFMDVfrYSwBVNV/NFgJIQrXAri/7u4OFC3VLJRQa6xt8f/xWBZi2mL1kklWPFcqT5EeAYNHjRoRxLwxy6+g50slaM8tcOa3v41mqw9nN0ME49/e7pC14q8KhqIdJANaOA11/BEDiEUnoIyDbEqkufBcmSwjLIUQA/gZTZYpg5GVHxsrUEiFfbdWp8+J8ouINHpGccHVh1i7sgG1WN+pZoWi3lT0cdCY4+3h7euCuzBjqCbBlNF1nAYSskyTw1+S9ZYOdE39qsPVLY+aJlSbd6CTz2OHul3kgL+ZMWSIVGUU9jlWjJYzrtDtn9JyH3XQkLWSclW145MKz02pywjqOCqXfD1QBisftnqag8iS/JXo9wNR3XHuXT96Hy286QCYbmiin4hWGQgbErdseOyYbDHnoMWflHXwVfiUYrr0Pmi1DLlwSF37xFqvcFzLV8fyu7mQIa8cZADlCtKmxT0D44tT6wc36ua6JYjgYlJ3G09z8/nn+mnWMy0JTMM9YKD5LMWcmzDHPo7hQTPa+xBDYprdqDyz3qtMSrsSu5XnFreFwVhk0RaQQuhOZJKnkTEt+SU1Jjj7Hx6dNjNzvkJ+fK3maCLXnHyQ1Nrzj+/Fffmlfzx46vX//ZY9bHyS2B+ywmkFeqXXod5asDzvz5oMPJ6xdHGLa/A745h9cDDdNP7CitdYc3tc+q7ceeGPpmtT/CHiMKOAUfUT4CRQY/96/f9Ycu0vZqtP4jbxV7pD+ufXtb/ZscQv1f0Ie+gBFa/RBX/i3EXa4rdQD9QHTvE+hXLEJm/Gr3Z3cg9SmVoBtArOR8H/Qv7FRMvwm7IJZqBqbxOeLOiibLB3m8O12eDHD4jI9W3YIA3ZDW6uHWxmnmyBZXiIfW42N6zeRHgj5MD8ooacLBkI3KpVLtC3z5TYWSQjbhgZYJi+BKBEoMO5uQTdjiZhXqEoBpkjvYQvGVeZVx7ZOc1p+CGoQuRS8bnWOzAHD0S6nuD3DJWLm4OZA5rqrVpyRhe/4PCdnQFWazXjnrGyiDBSrC9tYQw64Vabh+CN1gqao7IZs4hmOW6pEeqXyirD4Q5MNPWwYFN45yLNSzICZNvGfEChWXC3sP0bB4iTHAF3pPpuiHkXF+wA6uxGuL8GXmGetznM7FSjpl8Eh1iwBx3hpvot7IdmToTA1LXCkhGDXrqQ/+B7FFdYsuD2SxKVcuh8q4UMzbVu0/cpVyRxqqx9/vtx/svTPhB/OEc5UI1P3C3XWE47ElEe4oa6gmTSjf20qyAHVbcSgeqsinmoIYUc2d+xQxnH8+aX4jXLaN+kHnj0RBPY9l6g1Z6D0Y2dqQDnlFHuhh3WHHAvUzVGxTDvIPwaI15scocMQo6ojnE3hX2/f2KZTax5PtU7RHYbff7y9Ssn5L2T4nwYBxvhzLboFBUHEgulCD2fPTDHHp+jhO5boquqeGehXc4Q9DXchUjReFuqXcj1Jqi+nGOXMnFR/eLMpmr80XZbZCbRugj8WpEH0UNpyrL0c4TE1XIHZmcllNGkGqGPJAdm2MMWW8J1TWroBeLGAcK+Z26qORuTjVkPVGua1UCQ2uvw+riLpCwNktaCsJqORtIYb3XyAMVi8ObVCxdi8LVzW635cJx4BkpKTBDH+F2qqX15915YFUZL2rQPB/1v1PmbZG7OPSkN/YbxYcXx452NfrUcLXO4TFxcD7VEwSPJ9VmAJ9FjXTkEYQOyEIPCrn/zHg+eAbLoN1W2G97rt3GQ1vmYQ6l6ZjQnh2le3Pwijss2hA0znqFqCQyP6UaVAXk0nRkE9FuJmU1y59+/TvZ2LhFX/S4Xf43ikUJ3OKo05uD1zt09Mli8N4s7CuuKahM1Q/U8ipkG8tUpjZHfqfSvsrYXJB7Zo68orJsJ7bMoIWBe/iZHp1KVfO8o5z1EMAXkeIFUoueBRU1pnMIPJmrDZXAhAejKaNvuZ/nYgrVu65l9mY3ks/qLSARb479V4pLr6F0oWkkR6MXRtGaZsy1QsUnYok4XCoBM1WLVyZxN/2L7hoYlzx3Eb1u4EwcAQ6ezzkUOzRbyjb1lm+x2cFJjRSRIRLE2XtGT1dUp7ByjzuRRzMy1BmRgCSLLqfA24nvqXwtGHgRvOkGfNh+JZ+ZG7iDFvtN1mnJve6KWTKSOzmPPck/T4jK2UdmcGrklhItKkdURw+TWlY/8DPXyHZAkmmQpV+sOmW5Pb0c61XjkomfXo71uLOX42Gl9/rDyzH12cMJzVDR58Y/Ys9rIpHO1DzYQDRquz1cc01EBJ19UIMOHN2EKMFUWzbfq7TBcJYTU5anG3R/OdJn3xiCOGwV1q6GU8+6cXoQgfJWWC6PGAmJGTlJZsVWXpwSGPKj3VsqySVPNCjVTvU7xTUPKZwsFYXdHza7D5u7D3vqWgbzC5hqzXq9I3toZiQ+a+hnJpcY+fGiPhcT57o1yYWB1joXHSbwCKfoq53p5h9kUn1BWxBzEKnmHBl8QCBd1OC3ZEr9A2kCIVuLlPqMbpLNjsspyoh8tTDDXsRsMdN3Yr3JiXLhIksogiULpfwWzgSZGoL0eToYCn3LtS12HoEbgz2ZrnokIaXX2sKg8WvNMpBhm12JZliKBySgDW7JzU6XSqby02XenR2ZTKcCk0ib4p0aziVi1zGnXmb7xCdUPTXq8Wbgn6ne7pMFFAz084arCpIj2VFHZdAUWZ5Dz/RarWhy5erI1K8IIOn1Wu8AEdF3NXq7x9eksSe6NtnF4kpOwd6WFnv0nXyDRtOZaiY7Evk3M+2TUM9UbPrS8Jy+9IpNX1K/9Dr+ZSZmp8Av6UsafCJ9aVApRM/pSxrLpS8NL+lLGn5h+tIzeFr6v97vr6e3GuInGpoFBGc//5eZ8j+JhWNU0XNEYzd3h932bv/5+nZPLD4oOKuPMDDUr1zOWQAabd/qkwwtU7DW0qieU7DUL1Hkms8pWBpKpWDhpT27NB2hJzRdFYTmxehfkM3IVA8VBGFRWG9nfPyFcNApXw75EAa4o1PdW++uDxq9J/llGlLsNfSOKggCFUgC8YkGf6EcAJlxRwcVjd0cuLJcNDIpzn423hvJfq0xxm4F5JqkqGmtB/vht1TVGIrsUoMXzxyJwWbng4vfYnckDWIHPYaRkCsyvPtQ6W52ivIB5OoOBYzeGryl3B2xZ+XPwWD9SF3BXi6h5Tn+1/1qGLTgEOeYjXBQofCpV3SI9pNnjzgD5z2APzI86e5fGXJejyeDmIvB0oHQVsXeSSDl0z/wC6c1UwJHxjOUL8N0TsSrVDsst2IgJHARxWbURw82z/aZq/MZueavICPJBTlICrUnQzRdpKOaETfvv6yyefkeipWKLcXmFcDm1RZScUMm2bYaczOT3XA5Y491TFENPVDEemgoKtdwrUc3Z73hCchmLXaFow3Gl8ML8zHU+nNdyjl5M+LthmphWkHxmOwOfafe7PKYumsG+vHmjiIeQxhtcsn07lLEA2DwbH6ubQZ2uSbVnFLupzd3OPcS5zsaZBp5Zvr4Tuz0YuDbGd/eU31IEURvrgQrIuI+by+rokJutdxNj2u2v+HqqHIpsCyfsPPNOmmCoyFNQ+9EDaOSbFG5lQKWWmFvSDbvLLIVzFSpPAi0iSsJJWN64F8oCxx9gxZQqimfm6heQvqB+XqPJkvRy7WgsLdUwmhAawmxGtTAA1fqhJavqQVvPvr3e/Ea13hxghwlt9hfNgQPqkUrjncbtsalgU2s9mAWTAylHVnVX5Bsb5aMy5+S05scSCZPb9ZwrodIq1MUjFs1k2YrxnALBkun2Ybs7YLtyISxVNFYQ2MZHw/hqFx7tqfiD+Z6eugGcmRc5q20jY8xJC1hVAwNRDG1zjfpMYq/2e3/dJGq9r0iKeJJ3V4xUfwyxRDAra3R50up4HYksS2LQd1QlPHi0YqFKLtsv5iz1VyYuIjDC3pgbX8kUMg9kb0Z+UASqeBATU1FDJxR2Sh5qy7ZJeOs8SZTDsEPGsvyA5TWe1lsMBM0cXioDdlgqZYTGTJSohUsqkB/QIKtaIHY7GptVpKmYVDnbERjSxrGDoxvZsRvVP1ZQrHNUqAZRYtkyIbkWo39TnYtbOJ6GLEYyaaFvsjgZti/UQQqU/kmavVOrtVpRRvhLiFHUWOpXhMJD3fgitbYq5vdWlkDeCp7adFIBhekfWif1OsJWaYLhVFaGVN6dn2+cMVnSNEtFn3eRRS1HpNHGy+NogxiNymM1M2I35hHYRBE+9KywVKlzHhMKuIwGSyTCjOg+YAoqhAMeM9FhHIPdQalI6y9o0Oji9EMe7i/KCTUji7X6TRARP1SKAbFJXlOqXzBxWym+5ZlK6gp2elSfciRt1MRyNbYOyaHO0/PJBbKVZbAwhFNaU4CxwJapuTmrPdnmFJ476ibGwRKzZ368PMP4KJqWoKtwkx6WLQvL77HS+RqIlt2odiV+krS8VTn7bdSVrvDAzSKCTX2DRVUQsF5dHbct2TnEFdLsdibO7kU9uTrt8uiJ816bcjilt5A+6GxDzfZ2ZRyUbHyn4vlko/+00VPpujU3FqcBXYJovcXb0Ght1ylXuqyYTPspHdWLDp0WpJTAENFDXnDJRlFEFx4g71nmPxQGluD78GAuYcCeM/wvPVcyY5FqFFwUJRqYK7fuJOvxjOnWS2SyQ9pBRGJSlY81rIr5Qp14tMNGrYjC2XEpwp2g/8g+ctCA6OW+dw9V6kuoFxQ0qHhH1ZmCwc2x9DMbO+2XOMQVCyEySObwYe1FqsOITCxus23fidJkmNBXYfGfry7+UrV/4lQtRitUPxKORoJEumTPQr/HxX+ytOT7GLkLeOtIy8zer8QLOaFElEZsXO8/4HDP+VlBhFrKx5c1QD4dFsu1UgHNfJz9rseeX/ZxSBaHnLGGoVT+mvoyQ9zJEVaKl5+8q5hf2fQ80+MMjPxAb2PCrM5HPfkhkUJdxTl3PSAXOhbnHzE6Zqa5ve1Im65o8XS8Gq87Y5S5UV0W/NBQamKR3DXu+mWnq8Ql2KDN9hQu5rkgRNdaOMeYzQfPFBsv9m7qpGUBp96OIljr5C//L/km6/cWIiezKBcH0Wo8I4Xrjn0ijJ2xcTOqLpQZ+U8Ozc6iceE4vg5iDLLQwI5aKqXH028mspFZ3bzH1QYHvQ8qDObI3dUpXp2Yw6T6TODflu5GXPHy6HT+mcLomg6tNPMKdsyFIOhO3SY7d1or4uUbc7y3z6VKTHHbEDr8ZBzLAZ84FjpvUOz5xfsBQ3t5GqKLYfo7chcQzvxEcWXtnPeUJRCoBFI3U55x1VNphE94u3A38j3TqSzVLNe3MNh9GPueA3SA68Qbcap5RHMFoWipirGVs0dAXuF/U3uoN2N/DNSESJED8Uix9vp/Ffefb4mQx4l165nPXAPHeLShjJdz5esmJg9sHXCj6wY0sHkIHeDfU8GPZpDnwYjHFeb+z2lfKKb6mKPHeRhvXWp8wlhAIWlim/AZRRcW4gYWnNTRUte7Iu6kGvKvC117D71bNaMpI54biSqR/71ooTFKRLp/KUltQ13U56CgeoHmA55fXLLI7w3PThH14s2kyW8YGkWODyW+gA6Jz3us8U7rLyWivZq3oC/UwmLSJXsOMkK+4XsdiE6AJaZwp6y8Y/YsGJjRT30wD4vF/fQ8/X0Lg/neuRF9BVYShizZK3AkarhB2TkSQUms2RcM9I6utisWL+lzNkyFoHZL74h287HWhfjMs7Y1Im0pdwbJ5oLyzY0dKvS54nLJWyyzi30VydFc1hp0BddhDmh4B+oBXuosbJHeUt1bn1ovlTtenE8pTPVCfLd5B5XbLe92pI8lk3GhJH9hH98zb9j0hAQ1ZAboxn0eU45cBt7sVYt6juZ5430FnH1FZYyf9BeCHWtGvp1hd1IbCa5zopB3VIx2+kgeZ8vn+mAjBaHd2KD/ZV8SOx+upeUVBxIkk7ZUmeXiczDybK5eToKCk09jYHJearENbJIdiWSeykVIxfU02lFdXqAP62/merT0ZLoWd/tct1SzhOe9drkpl4sH4g6VwSwjp699Yc9sdeyN/IBXcmlqExBlm5X7CeqewWok1rIdtInic0XyhZhxoiHFIVnSeRizdEu2s3dh/1FbHByPBMyGp/dbEYBlYxXySlJbYbm/C/kYMvRwHuKHnlW0nqWNxhEgR1tkTWeqRkTR6yHlFoy2D2pdEv0k0KbY7nrbbJVH06XWrEpBZPMipDbAsbI0VmfVWUpioGOTnZmxanykYR4f+12u/6g0qJRMIOHPgXdMrXb0Re5XOF8VdBZgplgMK0n3l7vPlzvPu3/Qqzf7OfEOxQj2qXBlPEyGlbUlEh+nf3Kw5Vyw9ClxjS1txbp02hRF4xvKIpCbOiY7eBMrmOcUrxyt0MzdR6xgNE4paSXjgv2x1pG78EyaD76WUudk9zY0M8Q3qFGb4izHnuZIonNYJnANHp5Qk/UQWPvmYB48rLWrcktPAcPVLgngQ5HTpvdp/l9ctI1TAHtDdJCOk9nBMx+KkVY7zFHA2augzQ1nWotmOU6/26VRLO0EEo3I94SV28SC8tP70BmqneHDZM5nEBBXdxibCY0lUDC2sG5prEfN8xpSnJ/BZeSUUSvD1TJFJ52Sun2s1/CDmejU8GDUbXYRbu62V1RDwodZROLNWP0T5YrKDfxAuxeU64hXuiRn2qWbH+Z3s9llAtUtm2a84Z5HxUBE0yUW1ej3zP6R5YLz87dYJmgbUTwNJfkB429o1iCIzruFfRfnqOH11uqlFE2WI5lE9vu5HcPp7U98mzQ80NjP6gb38kd3x9v/OHlb7OtQmVwTw8sMX9+25+v6HenfublbwOu6OhQQKp+ZsGYchz+0Kmpi0Z7gS9SV09jqywFGBX10Jurw0MJ6rCCB0VIEkvN4DVby/NMDRgN0l1bzPt/M2uGal8xsSx2+56YdXIF3RJcNyv26/buj2sdvDn5EwgYiVHfzPh/3ey3884rJ/EV7BmheosPf2UMqxfBC+gSn120FC9vGe8iBrxdRkj//HdeU5meMQawBMnaafCBwuKtBZmeGvuGMkrFOcjJ2Y8+X5wVwbnukVSjUTtKPSU8q0T/IzOFaoviNJtxPzNZwBEFy83jHlFg5jlLfO2xN7Rf1Ng/McZ3RRIvulxo7Hsq4yWi7EAuotkG0aUDsaOlWCt2c3dUcpsIxSgb3e0mMw8NSc6Udz7bjXq/YV4th4QuiQUNZzT8A2mNyjmK3iwYlZKS5N4qOVW7V9+Y9RIny+WS7Udv35MWqQg2u9jGInV4XfEWCwV83gQX+fAlzmc7LRUXcs/irXufFpt02F4xJUsBvQzyQjY/727OR91FWY0uLY/iDUNnmxHOyDKqUT7fKTs0juIgLZaZUrMvd4xH05R0zpO1uifgOQXUjBrLxAnRx6x7kI5p7PY9ZYZmEDTH9ALmDe/UxpaRimMGXsiknS3K6FqALaCAlExOulaszhYM+n5Pveum6VUGfRT1jH97TYETAjSxmLE/b++Y3KWEPKDigxURpkgl4a2yZGen/fY4x53VHwmOIfjLjXBSDi0KeDOq6fWSXW1vKZ824eWuoUWDHvxm94VZtCYe4UQEotFMynrqckeBnEpDp0D09gPj1Qb5M64p8wsc+0lA4lYPZtlWdbZcTmMNIcfF+WActBc1hKyN5460J2nTjYHbUS4GF0OhKac0prHm0PugsZQZE6u4dHgR19gPlNWHupGIJFMNvmNjrmhr1Cx4e7g7v00RYt1jM9PlHPgW0QGi6vmKA/+BsvmK2HwRhoQaeVaIcdaI8aK3S7QC8o2x+dCot8jYBkvdNSk2lLku5INKcoP/KGZuKWbBVu0flMj55Rcz4bBUPHoEL+SKMm8LfPWOW1lPltKXYRTL3M1EcngQyU8rk0XiYwvFyvL+SZTPq47skHPZEZrm5jvouGUtIGowQ4+UmVlALZ2rkQwujT5PzFzomalFg2Uwf9GYpXtZgGg4k8+GD/1UExUtdk/pWjExHV62Dfaeeu+JGW82tXEjG4Up6+TmAw/rwfwodnVtrVczIGXfghdH9KX92O/UwxZ4HkH1YMa9oy4WNAZqMVQzV/ZlS7zMZGdMXcMNKQ8Igh8TqpNzbWiglRbiRAVdesTXuuO7um4Ul45sa7PGO+o+caOvaKRMba4JItSxIJHGDkzpSbmNWg+xDBp8S11GHkVui50dCGRGekKyn0zdKHhgAbmUwVJ0pXhNCz0WK1JUOXDKoqhCKUY4tn9a7eWKx7Ae0+L8zfjBzz5JiU52EckclxwEXCe5IzPTDHpFXScRZPSumcmeLwDCJRQLAp56yPsPTBJFBvttCQt1TNGOZHhnri2O3/5ENf7pC6x5EKc+znfFNIohjSHmll5gCzfjtEbHpSvGnAX/zmh0mW5APZnBcp17YhbT2YHFT892ZbIg8Ciyx2bMA3V7ob+1z3au38m0jNTQulRj31D3DxQrwmB6pmRUuaFIsM6lgjdrGjKyQzTQHZfF0kXJlZ7t9lI6buonVeeb+yCTd9sPVJ4CeoK74Nqg8e9XdByqpVpeSDMVn5CTUBNydY+t87lkjOhy9ow8Hgl/i//Wh4vFUaBgoUQHKyuOxMWH/nseeWIaS/VSgT+U0X7KgJkIZ6p+7K0szt/5lvbiRoE7DvVJ+vgwSibhqTWC88PMlUnSaagkdaGw8j8Xiw4Pri3ODnfkp3A9MvmG40d+7dKsYTKUF2ee6NiOc9fcQpw5zoA05RblVxd/9QDfT2wxb7G7jzeXXZ1DEWUrftwj/uvqzYlSApEshdoQ6gIRNtdzigZ7OK8v4O6FhACuhlFPXojUiz2Uu5kldY1ksUiaq3bg7dU9VXaBJ1m5OqE19HypJ9mEtogwyRSWunjFbE0exRBmj6j6LThEMaLv/TP6sfkkdQuh5M2jNbUe+w/Km8pjryj3Nd9N+RcimKUia/vyBUuhjbW6ZIV6ZNJiXixQiJqvT6m8FyX2POTedrBYPv/MAy/0LZVjElNCENl7BZ85SMM5cH4glksGfOK7B4VFoLCgeY/GcgGoYbZ6Ucwf0aPJZqdwkbApw6S7Fgf1Q6/vuIw0ud5zN18xvN5w6NzGlmDSq5E/rL0EyrURpoNiZ+4fZ/7/ELfmlPbRezi9ftu77Y5SGsirqy6baRzITIzgwQHxjB14rIybipnA/NietjYcrDLQIGvsLWNtTKyxOdpdowLyYI3tvgUja3syB1p8e5wXhZWDysRfHAqRFos1hXvHi17IClJYYnlMYfxpx4hawFVaUjDgKyrrZcofFPcmDxrtKXcwV8R/sh564LiQp0Co2FjJzpotypnEW1RbM/hvn89HcpKTvY5tuWBknn2sGd7gE/aBZ4TyBL1Y0rHb+b5lzhRErE8BCoW9/UKl2Ve5R9FTT4M3XMpNQg2IEz/NiAiX21RksYOd8i/MqaqgQMqIiCosE/tKML1lny2WS2yqyAvN2YollWiPcUuvVjyoVyPRm+hMnk6dh9XkJrQYqC0dXbCTz2ST+gCTl0btqHcusQyz83GwJ3Bz4TOXy2Il5kf18QtVFIUmj75FhT2RJb+IFIJFFtnaGss+cuUyBUYVlooT4rk5pDDDMnHCBN7qBitYfy3T/gFPZGJBQm9oMPMK+lDBle3ApOWHipXkkp0s+wYqzuHoq+/2y39hAmBevLQ83QwKe/vlfAQsoKQo4+lHwTZkmK/KTThoKKlhEW1/sPTVQSCzR+Fj5GKl+VfmWikBRD0tGew1c6sU0Lmisa/GcvkE4o7G0qNZLs5wgIZGaaAdd6D0s5tufr3BX5mgkKjnWKbY98VaI4tnBqobu0eHy96O1EH6zjwqZhDlpRgWHz1SzEJghpwiwgr8lnhGnRJmA5qKayzHzPpyM+TJh3nO8v28JY3aicnJy8or/JZMQBUzr5ih/7mhym3B+DhxKWn07fk+UHhXCaIss4GR6ad17BWEmhr8hnySqcHl2cADyyEXYex4uUxfnVzk0x4PGgxU+XKDvTrVemqR6I9qjmTQK08q8PFCKd4IxYctpWZjHItDNHqOHl4fqPBbnGh3uxWqj5Q/nT0e+6qVKaYLCx7ZEdq1skHdwHL7h9ZLNetFKR5x/xFHacksF6ffPWrWQzcfPU8rOL1aKF0pKNw0M+bIqrJrE/lL/4EFyx5U8OgPprF/oRS1QwvKbjb5z2/l5nDDQ8hIpkAZ5Qm3oz1ZnAuRRO+C3Mycqx1d0eYxAygVuQAiyzg4xPBArdoNltLXyLmJsmUvWPpRDbGTJD6mHfd6+5EJQKTpFVBMVIWeR/mo6E8SR7eLaWI+4h0T/MkZRbtismosZ6IXsaPEchSFqMAkLTIyhsVa9kmNzTF6g2ShVVS86qEXsZthWe4gvqorBndFveTD023ZjknFbqbSMkTWtZD9QiaFPTwC6HFXbAJR2mJfeytdZNRmSDnAXF3MlozaZCQ95Gim+5bU/L2lbLeIyfdFQVqOcqYMlomDJnBJORftMl9R7huKkXuN0RwFypkBw09Ui0Wn7sGp6OJi2wlHxiHxck0iw+voQp++pMCa5XL9gZnikipiQlltc6De45Hb5TylqIZj+dT2Yjlc9Jg1XUxTP924FMi1bOowww50+iueL/1kAqlx3/4mVxbzLh8RXZ8EWuGpjCdxYnyO2UBvqaA++GCTT4PGbu8+3tytZCGgh0FsLphhN7srcTgHqpgNQe5o8O/WbgXskrgilVmpxSMzirly7kel4xztTQ2TolJyQekL2VeRZNcWq/RM4jasl2OIW56tZByomt+pbKXZtWKs+iE1VK8VZ0V6S5LQpFSyWTEqVzg7RHvjQp4nFfAXqldhAtOQMyv2YF6/Uub1qonckBGwkNH94SLWhyzOVYvhrIG9MJL7WGKM3YBvyUo40ZvwA5+ww8uh3lBJzBE935yXUfX4VEGcCI4YNHbiC1N5WK8oEClowXzCOzIJtMtdWwyW6tuKt+VYXakGTPHwocg2o3O8WXyuTTeyOUV8XVksO5G6g7cDMfEN9J9UwBPvfnWiFjHytpLkKLZjKjXmwXwvFxiWmz6jfescPJAVBQ3Xz3TRq5EPa9dHb2NwISSDY64PlAX01u0KU+ECUF14vCVrseACu16cxpwXW7ulOLnQmbBle5CPL/JxWyzak3C4OLVoojaonrpvJzusgk7yGTXQ1RcwxOTCjc0MuRKTjXjLbbiwFOr+A/VOmMCI3YsBk5kRoCNIBdpazfZAOvU5xJrMyBwDMagMQKdtl4phIIaOBzO+XbCVfIyHUq+YfR807oqkPxBrqNh1/sxYm37Kx8QxUNhfqbRGh5KrhUjdfiHzGl1KwYLZfIxURW+EEI10kK+FHUWaJZixf6G4ZvDn7MMlR3fKlc9iJ3WDor62TvR/cHHVVMncJih2FEJYXROpKrGCGsKFnjqRrbsovhLdmFMPjGwtMsg9eJJr/QHZeiZMtMJBytZMO6NjmvfPLZjJRPLiMwwGBf6Zysmochiny1BhV64FmW1vDu98CsWmoIPFI5kRJ9kaKD2L12A7WT8yvHkvy4x+9VNZIZudPOjs5AfaQfUzqvX06cxmscidx2OFwm52++vD9R/Xh+/MjxTUcKKK+vlHlk7dSTAaz/TJJ1Ff8I7JjW7o2Du9H+qZ31/qh7k+hogYvnFHftqR5CSoM676d0j9NCDUgp6Y5jPI5MsSxupQz/0MfqBAfAovEbV8Yib0ZAbfMycduXmuevvhB3L9kwtyJ1Rnx76mwvgZjc+jxVL3iU+yZgHmjVqznykvTowygXYz7u3dze3mE8UfPD1rIjqmfmBzoIoYEfRxPuZm1/yGCtxg4ug0r8HU+wUI/UAbZBaNq1tBvLn2yVLSn/15u6MCN3UMPiEdg5j1sCRe686HbMBvL/JTJiui5kfse5Kx3XcvRtYz9qmBGhmr6a14OzJnwKcoGil3C94y2kwEVE6mSLjGUiT1xSEJJbdBY093IVtEiKpIaBEnXK8ZRznpxgDLw3z4jspEkT8nVyz2F6paYeKqa8VgSQ2M0uJa5QfMmu1JTdarXwz9nnF84LwkORWEiBwp50pTkb3GfiEj7aKCgsWuR9qzXJLeniUqIjTRNoqhYIbkuMtTbpisK5xoDNZXCmKgNIM9kNmRDaR8Ri64Z3moelC16WXmnuWRWdlcqHbG1P0k14QTY7Qe3d4V0eh1zBn97k8e4LOOWkjorakFhLWDkF/Zg1vs1J5Kufej3BGpMZfEsCxQTt07q21XashzBHeyiNZw8TJP+frVNR8XJ3+gHMvmZZ0NlooZJvRcRghAY292l13EDQHT9GJ3UZep6LqOHNZn9CQdH+6vDmStcU0g1NeD/85cxXmirPDBYO8pfqqpV60P1YDPC0cUrdNktmnQKI6XSm7/7FoyIx6okmox8kRl2WX6TpVUN6QClWKwVIGCuIG5o8xVY98RIcceEVjRUrEnb+3e6mJnqORE8WCb9zhECkulcnrkJXsfDfbqwLKQBFHPwyXihLsX6fJ2ebebD1S2PczvUhZffM/Rc4gNLWb7Uhw5qsMa0E5XY2/I9KWqJHmga0AaAnegxNfDftruqMe6jpwCBFM0/G5DtV5/uMZKtmK5uTr8heSteOAsNOt9KWfhkGqdYp/toncdjeLCjWKe1VItlisBQ3y2RIvdfqHedhy4sX15ddFUxTNzVf75guINWVBMddSeHBtxxcHJeD/2yUCpyoKSYGtkA536x61Mdmp4Xlo2kz2Q3lxLCQr23PIOy9QAsfSznSfTMw4+IDgS7IZuR5JaI3uwf+mp/pVul44HHXDkWGHkis/zpKNztJu09uiN8B9i9ReLxYRA0mI3R52zyFCDFaaA0Bw9cByJXUyqipafZqPuDhSbLEIM4jQb9HeGTVZ2ubnJSlHYN+xbPZKPzHpRSQIIJRUZ2IwLX3CgagGyOEf2UBwooz1MFbZ25JMlOqes9lLFAo8vMnK7+cSVB+cwFlBfDPonOPIP9A0XM80Mf322XTFC6ihZTQZFPQVUvGY4WPsKS/FkDajDAkOdX3wvFzkTv7vNsMMZbrwjlVitIeNGj8w1awHHFlIkNPbuvA87IJteBKradd6QLAoi0KGZ2R7WwkiiY13q9lNvdvs1RZkm0jbc9lqSqSR8mWhcCtRqJi2yNCf6FT1Jiox9CuKEvtgVakc7SuNRAWSWiQl5ofll6MnK8NVKQrqb6hy8PeYbKvZTcejsKf/CqEaxl0N08G30Wd9SyjGIh1HjQoK/UZa2qPQ6Xb16je/+QSXho8lJm6KSSjbGi573QbuYqn8c+r/fMPEMpK3UGA32G9WXEGk6aIuusVxnAnQLa0hkMOA7lqOmBrCuzNEXcLE3sLaUXMynr1ijDf7FFHhWKOou6FNdR80GyzV9RpWTfK54b8/ogTTawUDdm4vBDHygSncmcoulaP3BhDbSRE2e7WptyVYwrcpyDcf2h+APDWW+Vo/3PWF3o9K7TQE6hf1EPaNU2MAl2Anvtncb6ikFNnTzyQol1drAOZhGwcjHv3EpVVNiUw3NjkylVKH9jJ8eNplDMdi0U5/RI0RjP99QKjOPJaTYjYx8uywlCpnY6KfeH0muNmyfxFp7VOgLSK7A9Dzlc2n8Cmt/8ShJ6wa0YymeQ4Tl/IQd6CoDWC0OGeN63JfSoeFc9+vuaywGerI0YbAUlXIz9cXAlEEp9ocrbbhggaeaTpEjV82Ae4qeOUwk2snuzg2VOoNq4YzkbStQ6/odrCtydu1UuTdJFBqjGM0u03B2xPr0aKRQfzB7CrrUsBhwexH75wDCtvCU3fWSXffrzT2VJBcr+ts+Er+Fx1gw118WIbuWAqLBL99AMn9OrXrAEz2HUhmBkxcqClohLw/hik0uc3/KSnzJivvrZi3wB+pkkfD26vk3BroKF11gGso71fhrefrga3Ep1/OoI7SHHbRaeq4UZTkCEy6jxY7GUj0Zc30sVdRYNnMOCfpykaVs8FdUkAGcHOj1obE3K1WdPYs/6ZBQoLaUS1ZHGrWYK3a+T53BVvsTVvH2Qwp2uai64akray7Oorf/5Jz3Cv7uUix6pQsb3DJReXWxXrsrmt2q+J7sLn1k1qtXEFp0e4RWOADFJHR5sUxc9kWS27PXbs7RQSzZKy7A2SZGbaswVoIG4qrImS8LUd5RkU0weaXFIr2nGqOgpCBle/a3l7VFgY/XarnkVQR5zrGlF6j1vodzXIlZDKxosNstFdhERmF31Y58IMllfSh+OPnR55uq+NaKGfaGZOFyRS4Gg73d3B3W/HaPuJtcJmapOL5EkCaLX2bRFG2Gi4gohWxk44aqEQVFu1wrdsLbx0rP4VwtugcbhF0pilc2JVGvOS0W6w3le4tPVloqww+sVYE/5+y4j7mmDA1gGKtHcxX9A+f7zyPBLTQXvEGxahKFy83M9hfq+cghj8h1M+6U38YFOn2pcoVqONUIQ5ROFRmxU6Y0pWidh07dRjrW8ttkb2pxxZwDNr8tRnD3mSGZx0EUTsXa7FQ/Mo+DD/ltC8ngWmE8W91QPnKSHx2d24sSzTWWUpJgLO0eykph7662awb31D+j2kE312xdrMczvQZTK4XOqb3Kpf+MHS7IBIRr1CYdqUZ+ygRcpR6A0S9usIH/TlEPyIcHOEUae88F+1C7AOoBDV4jO/TondE1iswClttEkNFOlepvHXBtg41eY9+TdbGtodeBxk6JFGQoWP4/BnOSuDAyaD1ajGZsiqlcDP4esmtrOzTYBIzU+mKV2QyMUr23OuOZWugsR0LIPpfFqANFkiUuVegG+4XMDgf7hsXecO0IwYHbZNYGLV7GV7Ifb3JKoC9oW5fRbL6JrXJ0e1dC3hkRDcSbNfZPjOH94i1UBHjSk6rkWGFRjFs6dI5C78mYdQ8oA3jGDk/2844iLZkIbVtejI7CC4YtRpws0SHBoN9SurahiAmXhMJ+utt8IPWtqKEyFSfqX/iy+ngmV3H0Zs2+k/SwaNkczYj/YN7dxAjPyZdipeSGoodNo5t6gmsw9TDyoPYwTw0mH0aQZprE89cbNZAliQ2+92KTzzt3CHN053u4/EgMIGuRay3alfqD5IWtFXV1WjS2d9/JAEkvOdm5Plo9q3RVAe37mj2IXNlGBsGzt6K13f/pogww1AYi82Za67UOsE8dyF9A4MHn+rAm9Bd1MExnI96QFKwlu1AVkspzyzgEchMr5C1J8hK6h0H5gHx0969WHCQ0VghF/qlG3DBtUcC6mgJeni6c5qRVSxMRGObI9/dkQkKPtS7kYKAMUTTMMN/LFipG2dGmR+X4+bLcPkirmUM/Usz1kx1ZPHo2z8EHMqHA91y1DHJxbry7loQIgdqdtfdAcVZ7b1VPdNZFe02pldCzXuDzz4EZ+9ljy5z8DToQ4bJ4nnpZ6SBzivKxeXoZn3/s2UDEY9Fa1NqE6T8/U31iO+Ll5KwLNBx16GfILRcgfmRfGebQb6S553wN+nMRHR6oMK0Tl60r7OHz9utKw4OIgs+u5zmSfWWC766raXI9aZBk0EKtRU+UYiZFgDXpzz3+ijQcYY6uEYbDfMw7qiwWJaIR5aUKuyOVWMklP3/xQFNqTb0KQP2uF4kxRadsTA1kmPsGaM2aQ9dSRKVwFXT6aKGreXIc19gYlKgoyaW65nTQEId6aoXOcGGJH1smC2WGvNtckeyGohhcUzNdS3vuAVxheLyZ7wn1SuaQ4graj0v3ZCI2jJNjMENyl4qM6WNfaBOq1iGACj9o7Jbr9wxq0Ni1XthvdxfaufIzucZFzuTZ8G1Hs8tH5EOl4Reyr2rzqJubD7q/ub97eGMe1tk6xOEsGk7xP8IVqK0irD+frml1eeaJrCArJkcFf0c+kGU3nbrZanF6/7l0dvHNTE58rGI8TC7UDH3KHhyOlGdFV/XQawkEXvRoHuYIVqOJR4+7eD7NyUi6Jp/FRH8nIxWssnAO/VPnUK7rYcczUUtquv/kOFA7Stj0kFQL8DzZSt7pmZ5K0DjCKiTGUitHtnQtkigqqqItlTq1l2UOBKxXeCzF+kI99Dzm7c+hX1Z6u4OSs+JZeIahqk+QwxUfnrNeoIpn+3onIvmn690Hrrgpi7fbfJz/HBV1QRkpCK/muGuSYzoE9G6eI0/FDocjHmtEtcEczHLjQtNEeK2v1Nq9pN9RD+uyAamKhlUrRjaZF20l5rH4Ogr75XySp6idnjpsjBloT5UM4R0jgUTRivX5Nwz0aCopDUuJXq89TdWbT91+IDt1+NTt3szk+sM1w90PE0dUTy36E6gK/z42NDDTi0X5vwhO51bzYMSS8p2T2Ar2JO2pnh956hB0Wp7Hy5xpxGD7E9HmT1RTqoAmlRUGpQKLBtqSlf6xBwTMFHzPmXdiTKK1RHlBP3gnn9ZYXOQEZ+Rp6lG/k7wxeeoGrrFvqEaCU8pws1gy9IU80V5Dq2a6HI+znKOCtFg99IYrQ0VOgXN2k7dkK0ExabPdYYqCE9mpYgnIqVLYb5SXnVBmEeLimwdKw/sWi53v5w1lkPpR/ljtSv9BlrOGgsZ81EKbWyKhOrQmIx037/dbnlsl2/W6+4PJim3w7/riUFCx1S4b5XKz6/WBejRC5WJL9iBzLPDQ9z2nFs2KfSRjnmJiOlE/aTH4hsp3eVa7smmoznuCs4nqUJ0ipMngV3LN0V2lyD2lQRsyK19Os1w2GvudShj1IpwtWOwTWwFF3yMukBi/MZvfuGa0kKtj63WxWBynbZUl662bNdvfkL3pculm4IHT2XCicvPp6ITPtbULISQrV9zTfIpjik0Oo1knKkKOlNPegnhCz2i62S1eZ2JDFxY98qxoe1ghsncdOSQaPlKFUHh789Gu81/JvKghe5Qg+mYlc0s2kO4+9GLWjGvb9MgpdUqF8CpoohPq5lQyWuiJQ8T8xMorNLpqRh/DoFE3uzckkZ4DB78ac+BodMGJ7ooY23pkaq4Nnf1kvQ32jmMg6WUiO43MyMest4AUhWfsRXR6rvfiz+/QgkAc2U3oCahRO6qXUxMNVJId8WeWthc602dcUgrPvS2jarz3pURTdh9eJEO0wnGKy3JYWmCigxayRXXJKzjApRSDHcnS0dRDsNKxStKIHrET4TrxvcORnpwuLs49V1zfUb8FfauwXDQz4iW+djPXDflsghQjO+6HPdXTCXRezdnF4njSQfzQwRmhwRuqIAovJi3Zld5tv10U1wy1oCnV43pdVBH1DLVe8nCuZ7T8Z48Ge8s80YNRtqKPnMZStFRT68cS0qCx1G06NSzxaHwwBw90u2Yc/wL3XI/NvHhOzU4SyHI09g2zXjWizVm141LiIWZTl7X2Zr0+33BOo9xLcivlaFbs5Z1sVdU3EU+80Onxr6lnI//YMlBjGbaLiUwFuaQaygViBkRxO958zUaTZeAovM8Zqdr6TD6ZXddsO/u6PGA3O+olN06Pm+HEqq+2p6s+W+yOUmXoIB0WUr6/uay4M4C7WUypMMzor9Z0mTg2cm+0F7D2is5GSGNGnDF5A+aorFCjWR0KLTX6G5X9mMapG7uGkkxWeEoWcybYFRtJWqaWUTash/6Jys/qSQaGjCjsE2XmWu8atB4qqRs0ZUb5NMJOtiPfbm5JhztmdEPT60VpMjlToheqHfmZQ+t8G9EkFm9qP7ZeOU8FfT+0XlMjxOQXO0Wmpwfx/Kx0UQn5NYhp0V2y+0T1sK9gBy7VYLdUD3ux8COYNs2B+kgmxbsu1udw+WJlB2qY6OxHkzSj6Ckfa4jMNg1HCE7lB6x4XFMlpuhqVOoPiNaULtSq3HVWXVP5N7gqfASVlR75fOUkUkqrcwulxTysz/KMQs5TndzyCfKONJtri70O6ndeb79wVzsCuz5P5+oJP7Dk6hNXS4bJrobecddcCfJnB59OoU88Yw7L3vQJ3L8azPWsbYgYAGKW/uUlkyrTB9dqlvsyDKe3kAvbOnCS1mS24OqaEl5YtaEFGGd6G7YUexWKNHv1dhe+UYQsfQxT9a8GcwbD1Eq0iedl4e/JztIer7FmzdhOovByF9LzgaT1dymU+ENiizT7nNG7+AfkFu1pQkKbi5NyexFr6BDQmqzkx4akbznLNuMdCMbDDDw8n/lzrnKpeHfTg34h355CRGm7xn6nnvzxTtkQj1RYKvIL8a6iXF+wfA+zLLIN8gIzLtXDTBw+X5DipbFXmz3FXA2+0QijVKGpgAYI3kS4uhGN+IYkro4Vvf20aLwlkw2KXEJ2yqrf3LDSBK1Pna71D1DPdShyT5M6OLVXZ/Qn+EprbGbFfl4v3UZQQLRfN6NyrVjkyAefrVSfoE5YmPByFj3oFTWaa6I0TOVJQfzpxYdz7/6xhbkaGGiVL9Z0zXExaaqWAU0ocu/ZHinGihf3sqeWisFyLAZT9ryc5jpcfhxhiCNV2X71WyonFmRpvYRzJ+osg0oSsyIiPHnkQJ28orJYo72W+gNHaWYRiyOQwWA2ycZPv/6disWKX9pQNPeMnkbu8r8yj5NyJnL1KRn47/fLi21Y9MqSdbLjXpPqNtRWRN0q7IF8WiwojzXjficL8lsozWK/np9pL+iMUu0SbXabT9uvZMfIIJaqHZasgBKDr6dopYOKHYByXLbIDrz/TrWNFF9azJdowYctVTFQo1xMGS/uZtU+UI9XyA1DBq9G/0wyQ4eGnDS9YldU+h+yDEqZYjVq5NsVnxiFuqkupntNUkx1F4PFbrkAQB2nnDA92W9sSmwGf9jJbz6jJdHQ2AeLPXxm3lJeNB5CLik9g7nXpzgmj4YqGr2nSE8TCJpL00MPJ6X6WH9gh/wXNfRIPT6hILEGi31HPT6B+QU1iRr7mas9mBIqerDrRdmnDyT+wQy80oCmY0SH/ABmxMEWt4o9XC12s2Mpn5L4L2aq239S8YSJRSR1IxobMhZR3BRpVQN/XUkiK2PoodtzcLtSOJCmLmq12VlSyWNT7KHZDaUSNzJiT9MzosJ+pLI2QL/ZrATrmNF39m5B+9XQEQTR+uOOymZF8y00sNNg7lVxitWG4GZDDyYWQRLHgJZE5DV3/Uuc5sYuelQvnpSAYc3clF1ElkeLT0GgFS5+tMzu02WhYPure4poAQGJ4nMpg8Zz1VhoQITuOmrwYTX/rY8idwg6qSGpiospVQC0Zma6VAEC2lpM4qmnenVga8VKQO/OZ/jA0zCCNyp0ZDipscO8RsXLHSgeyxNh+/PfXkTDi5XdSnvwYv78Nj4Ld55fdSd/JyLNKorNqn7n9U9/e/v3//kf//o/5gzwT6BB/wTy6XzEOdM/8W9//49f/v3dv//t3/7/Yz+iv2N4+I6E+aC4K/jHxfjPdazIqyA8ki6esdMu/K9///XdT3//268XOHYyPFJ2S5jFLYeH5fyJ2tOAQnTxSNXPvL65+7C9o1w81OH4bj6DS8aUg+cCWl6bsam2mxFV8GLWauynlVOL5/RWsPNPsIEulpxy9ECir4ek9GKbcmwXU2WaGqNIM2a/mOp6gzTXQfEcw2AGpR5AUDjsQtJfPLBFkhFeKcq6Ll+rJFa0fLRB/vN2pV8eWknULDevxnE9jiYOkRqNVFxx7BoRFnA+fQDOk2SAut9g90wADSljDY2UNZZKkqigEimuGsHYXq1nm2afg5Xi32IsVxuyQFQ0t9ikZrHWSOnkrm1hcfJuqIylAHa34vzy+FyQnl+NaFza8lnwCY1/nm6Jww3ZvTlEvGFq8NeVwnT5UI/XGY3a/IN8ffboSjxo8JatLiquNTPwij8n6+pAt2pXiHmWKX7q09XtVN9TPaor6gtDtQu1JXOrRG30GXY4nUt8hCe5VfCC6YHfU3lZIhO5+8599GDLr3IT/WqwHHOwRxAqBW8lg7oPQKTdEGOYg4fVDlJTMlc0n8uY2LiAquslclJlKqhgYqMgRmPvSIblOJbsfbOSQd0lTk7Qcsb/df/hMRo8nK3fBCO1lYsd9RqDhohIEjKrtSfZSWLwPg1WqlbI4wIINNDgz2zvJzL/NYNNXmM5JiOxTeJiWK5J3mO/ZzNVylB4bItS7BngyIxe7pGIMJQ7lr86nOO9Ez0Lf0Ohv1G5/FmMhQrzU2HZBFZR79FDa2g05ZuIn9xaSFkNPbCh3KmVE2ovT076jL2O9HD0xtbY7fs3lJ5NqGDCtcQtt1KzDq1+XTQLtiXLXPuDHauwH6iK+VDRPbLaKf9BaVsPgxJG+6UfPYCFrxUQaWss5aTENiaP3nPP2Idoxi1Jhd9bs+KxYQz33NBhzOej33w6U9ePzoEh0ZwFtp2LQ7M6PdNPa+0MQaucF4t7xTH1tAI7JViRkPN3w/AyDyByyb3C4NAzpipjAwQjJru5ZC1PTghjgrDOfDxTKfbwTF+sbFDv9N3OdneZfseTV+2PORzsq1UYS3etv6AffRzGokSyqkPxkQbffaViOAnN0GGxKDBFaYlyq547ogQazDVhlZFjKdmuGIVto/PJ2SnfrHR1aRkPx23xvZ+o4mGxnzs6qmnwdzbw2lHVquf6HC/9z/8LWc8A3g0KZW5kc3RyZWFtCmVuZG9iago2MSAwIG9iago8PAovTGVuZ3RoIDgyCi9TdWJ0eXBlIC9Gb3JtCi9PQyAxMDYgMCBSCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9QaWVjZUluZm8gPDwKL0FEQkVfQ29tcG91bmRUeXBlIDw8Ci9Qcml2YXRlIC9Gb290ZXIKL0xhc3RNb2RpZmllZCAoRDoyMDA2MDgxMDEzMzQyNS0wMycwMCcpCj4+Cj4+Ci9NYXRyaXggWzEuMCAwLjAgMC4wIDEuMCAwLjAgMC4wXQovUmVzb3VyY2VzIDw8Ci9Gb250IDw8Ci9UVDAgMTA3IDAgUgo+PgovUHJvY1NldCBbL1BERiAvVGV4dF0KPj4KL0JCb3ggWy02LjY3MiAtOS42ODAwNSA2LjY3MiAtMC42OTYwNDVdCi9MYXN0TW9kaWZpZWQgKEQ6MjAwNjA4MTAxMzM0MjUtMDMnMDAnKQovRm9ybVR5cGUgMQo+PgpzdHJlYW0NCkiJMlBI5zVQyFTgdQrh1Q8JMVAwVAhJA4qEJCsAiXIgoRBSrGBoAKKrQEJFChZAygBI6prpmZkbKehaKITk8moYmRlphmTxuobwAgQYAOPLEYoNCmVuZHN0cmVhbQplbmRvYmoKNjIgMCBvYmoKPDwKL0xlbmd0aCA2NwovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCkiJKuTVd8s1UHDJ5w3kLeQ1VDAAQkMFI0tzPTNjCwMDA1MFE1M9MyDL1NhcITmXV9892EAhvRikyxCiCyDAANPSDjcNCmVuZHN0cmVhbQplbmRvYmoKNjMgMCBvYmoKPDwKL0xlbmd0aCAxNTQ2Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9CaXRzUGVyQ29tcG9uZW50IDgKL0NvbG9yU3BhY2UgWy9JbmRleGVkIC9EZXZpY2VSR0IgMjU1IDEwNCAwIFJdCi9XaWR0aCA3NAovSGVpZ2h0IDEwNQo+PgpzdHJlYW0NCkiJ7Jfrces6DITZD/pBP+gH/aidi/1AHetpWzlz/twJMxMnlkjisVgsluV3/a5e4cPGMB+1zPTpNviJ+nNY6qO+tdR7kWYj9IhvY+TrpBx1VniwM7RlWB1fW5baUi9qp040HaYDRnK71Uu2PanOWjLjwtg8f/d2JZ647vTAodVXfaTcl9H2TZxqv7PYXR6a/K9wKS5PbHJtI5p1QkVmcBLR9hmGMspTsQvFf7FIV0y9grgJQexilLvobJ7UXuWqDlkIhkftzGWXO0vlzsqiMkY+Kd2h6LjvU6PcLFycmes3m3sneoiRkCVENIIKGX6Oxm1KFRfBsQzq3YOI1MFZLpxPul+e5FyelQ22ydbqAMjwxj+pKaO9vYhxtvAehoJyaHdXiGA39L9/g9z8cHg/PT4XllR16T6hPQhXQavsn2d6PS24VCWM+ssLCPU7j3hSmrq2q5hH561wEeOFTN6LmGmrI0P/y6gnNfDGvcOqhAf80Mi8rLR9TJ5yxOsqeVp+6qbKGMEkd5TCtqAUFFVUJ5kShu+o4rpfhVQ/3l87mRBPCF92gaeDHT/xQZwrhpBpjeDOoPBrIo4A4ko7rAPdGPkWHW29g5n0Zh2nmtVRejWoiKyUwODl1okb9utbL/Lm88GSSZRwVZpDyll8J3N9D5ockw3vcneBpbioOuquGbP3agXkqYCNpVtrPa+WGbPdqXskobQLIN/XUNeiQV7iJqctr4S1NQ1/ZVOTAUTkfa07PZhzElSqsma2g452un4fizzF4fVdbJ4c6jG4jx4s5hb62qGcPTjD1xg68gIr63nuq0VGOi7VYQp9MzpEy0mtWdrZ7hkKhQChuO363Z9+q1AJBu6okhBARGnZzO0dSYXI9CbU8BGgF41xg+4jyub3qqbC71J32FEQaVXGcgKtHE+QYAHLnPC0MeD6trNdl2sQBu8iUURjoBSUPemNbjOKHaqPpi8r5cuJHO5vuq78/FMPOzxRYU7ylcMJg6AP2pDNIkJvFbqS4OxmOy6IdsrHSvVNIAJF8qK0rEF/wNWT8nIutT2epBeCKAhU0UjiznpSudOmFnqNb7o1LdkvO8ItF1LOEHSupnuzvY2DTT7pXQ08v9C4ve1ekS2z0s9fqx7JycrDeKua08/W+i4ruS0cSWi0jbOCU5wmF0WeAZUh3WYtvg7igVHtoK5jwHjh8HiL/d6roxoKMU+7QOaPdcPLpoEb1vc5fnSTYUgAcN7dwAAjHgR1vEdBkmXrnF5JUDJrM7eiciCXBjHaE1dCnGzdXFBahmaZRPv3Qbm70teKa7UR3YMLLYH7313cc6TT61ukILOUAMtHxsc6s9AaVd3Wnb3/rt7CULRKrOaFHgb9n8XJ164I955fyNHEBW+Jk7q9Ww8AT2wShOjIaidSGNEaD5G3nzlVwRikXKneA45N8JiLT1LulyhHQwiNA/t+tmlBM6jjll3BbKpmrhGW2eVlU2iyzfN88K6ur3qjeghSJHr0U/0t6N5Kha5kLHBJGlQVLQgEq+e84/HTson3DtKbMKCbCLTTmlBHQR+pLB38eUfeiyP5pbBg2T6qW6m4883Ok02tPkVaKLFUJzOpgOy6A46JTinjuUjkor5nl9XSlm815PzNKNITjXV37qnsfAQ2oYVgFhFY82r0BLQ/+l2cdISqPmABhU1VD9laPCmr5qelIz5oj5IFBpWoosttIbp+fxX/fMXl5rmOjDdv0ITmpFtWpRRk3U9ulrbJ6S4tnglmzj7DN5uDCbC1MyR/9jUVA6+hf5BEYtGuJ5SQRstPFL+DsqrF8iuIHo/96VSZONx9iupWvUF8QsGTagFPSniiXBWBHt0UMGUrxF8xKB+b9eJXnAALSGXSrlu+0pKGIH5JrjdubxrLlK2qs1VVmaY2Mb2ot9WwUPOWXfqyv2mEqOYe/ry7RxPx2jhS4WeQnM8Zx2zKh2f9Ds4jq63BxKUkZhxnhL7JGM4QmdHzgnajVXL+a5K0MtDXTnxt08cofoyTFI8xljHdiuOIgYrU1KWiG2+LxH+iTX7X7/o/rEdE/rs+rP8GAM9urfQNCmVuZHN0cmVhbQplbmRvYmoKNjQgMCBvYmoKPDwKL0xlbmd0aCAyMjg3NgovU3VidHlwZSAvRm9ybQovRmlsdGVyIC9GbGF0ZURlY29kZQovTWF0cml4IFsxLjAgMC4wIDAuMCAxLjAgMC4wIDAuMF0KL1Jlc291cmNlcyAxMTEgMCBSCi9UeXBlIC9YT2JqZWN0Ci9CQm94IFswIDAgNTk1LjI3NiA4NDEuODldCi9Gb3JtVHlwZSAxCj4+CnN0cmVhbQ0KeNqlvW2PW0lyLvj9/ArtXWChAdRn8v1ljIUxd+2+d4C1vWM3MLtwzweqilKVLZEakiW1/Os3nmRV8WQckuehrgeekRr9ME9GRkbGe/ztzZ/f/O3Nf//lTRlrSsaY9MbIf05/i37MtRgT3uRcRuuq8W9++fzm9z+H0byxb3758Obtz79788t/DP/4y9WfqaMJ3lr1M2+3nwDuYcPpbymNzsZqnYIdUdeXTGXM2ToXB7Ukgc1eACWrVb89/m5YhBY3ep9y0TvdfDy37tCDaxitLdZaBT4sf/NQ85hqjKEq7MOa2LA1+HMsk4WHRqwNA7ZlDN7X2VdvX85puIZ2dbQlWK9Z4+N3gmI2xNFbX6NC36+/EjQT3hoB1l++PsOW00VTHIuxLmhqffnMkKv40ZngNIesNwy1qhttNs5zHDL02CyfbWZ8/fnqZp2JYyghB3WP1gRTvnFWblKsqb/Aw9sH5hY6J+CQsybU/XZy/4eLaC/ffU7knOcrRSsX7RiTqUmjPzAfnuxoBFIUyf7HdUKLxHIpJM3Ku6cNI3hcCWNKPpSZ4FkT98hVucMi6GeLE7do8kYkEUKpPGP/D0ZKyztirIeEf8G2q/Qzg62jCym4qtbdEtwhEj4ZX7HfDvvbpXUnv1SENeR4o1fYfye+WQ7JxOJSGnqs9X8l0FXkjjfJ5W7l4e07SsRbuQ/BF/XV3xgpa0Ry+IR3qcOuGRlrw1izn1F6/4X5aBEBtfhSFHus7x4ZtA9j9kF/9YfvjKCVhyVA7inwYfe0ZygmIsDXUjVvMi+5FUFgbCz6pLjHOGcR17K0othh+4l6m0QGCcVmV+ooNBe0PDwVXq6G/vDHq0qeE+aqQm7NIBvqfUmjEZkZ1HUK5PMiCmLS13h/WH/Z/4GRuNGMQX7FqR/49S0jcEVq1lpzWKZVh0ryLAU5U7Xk76hnSd7TYmpQ0uPLjnqNsyjjyfmkPvir+mK9T9F2Ukkzjrpf3/ayxCxKU6Y0Frl6odiCh/QFNbCav1gcptj2pnQrHq7vMju5Ns4aDWOUUKFrLAYqUgddHRgRV7KYG6akoPZ63tyYPQlmlHcsq5X3xPtpjbCvj3q/d4x4E1vDuKDPlDJTrGi/sl2vd7ui3hI7liBXTi28o4wUeQ2Sd0lhHxm120GclxmZt/u/Y6gVZMuaVr++pZ6/IMK82FQVta6LGCtSrYRY9VbPixj97EXccdF8Ffh+/atYxRtKXxAVSZYP+SypLz9cWZjK59k9+LDdfaYeEuw6QVfob+En5t0TznIxVn2F77afmZfAC8180iRj1CMXvLBW8nVQd+mw3tx9p4S6cJe1RovKv5EPQs016g9/Wu9/Iq7URLaHNOaQjZ1K2us0E7u9+pptUuDtZs9I3Ch/tFWDhVUYiVvHFL2BHv2CbiT79rDAoZCYpaasVr1j9W+XYSV12AdK/47j0ZDtycz5hbxYsnKhq9osp4oGM8YQ5ie8pfTvMmZXa1Hgq56ZwYrZ7mpwUfPFR+Y2NMXb+5zVbimvjjBViBnaZLfy0/5AuXUM0Fmj31NuHbEKRc3SjMWcrzNOlI+SRZ/ssKv31z1gToy6UmAPzpckhKXI2TBjSEZUyjPsxEap+niJeyD62Riq8fqb79e7BZ07yOXLcXqDBlK3E33dwXkWyuWzuezAivBvhKKvz4pwUUDVl2W9JhQjHtujkIwYgYopvlHYOhrTnsJ+wzvRdpZNqsmj4MXcKOkZfkHhufwqdOjr55vkChhfq9iQZ1AL5kIcZbPyGujv/R2x2WxHm6KNerNzZekij1R5eL1cfqt+4qJ0H7Q6HZO1RaPXjM404HGILrhyE7nhlDGlwNx/QR01Nc5BIVzls61Rrck5KGxqYjbq4/o7yqMT5UEyUOMVa1IuHbnLoizV20glHFKSc0mR6itl7tvioDQk/cEvGvGiM0dO15usKb36tODNkXfb+BlTP1JKOPToUry6if9FPWXyrtTsbU/i4ZISPosWlFE+2mjR8YUR1KKFZ7mxGntZCx/Oa+FO/cDfmGftWQvXxzTRwkmB66BGxGcWo5wPE3n7AlZa+HA9yCqmvHFOod8RkguvTHGIGXbQ1eae8aLn0Tq5W/K+dWgqZihC04xinfZLD4shQ5uhhU/pfFlz0ZLHOTGviqYy5T/3ooI7g0hUhyW1fxG2eJ+s2uvqtyUXQhHFP+eiN8uYwzaLJe4t7nEHZgw7OL9TDN4q7K+L3gNRl0yoRd2CkRKz8iKl5vTu1lyPlN6fx5CqjXqzVMzOiDZskl6Yc3c46O950PeHErRu9EFkjuKKw4Ia7YQpRNBoNr6jXCTNTKnhB3jCQSy6ajWWc5kHN4oNCmdUxxhcGFiEa7LBaW48Xb7hqre+QmLEOhOu1IsiAjLnrFdmdKzBlQrFoervvvE9sVHuRXghGGWAi74j5l2FufSC7mzDq89JkJWTR3ZDh90Sz4loSjlUh6eow65ID3woIuyGHkuZWjWN1oguXLuFB8rUsrDdbRM83cLrHeO/tx4iOnhN6Yc1JXusF8ElSlNV+L89UT5eZFeY+TnvKbUDsVVXnK+axyiSW2GUFI1mE0paC59YY0NQ2L9QXhp51kwOmsWod7iW0QXjvGKx1aflzB3RAPSSu/Xq/jsT34Tzz2coHh3+fiHi5+G5E/1KH+7dEyWvI3w8xuoD2q/vKf+DHUN3J2gP3klm9vLjlSevSuuTzOzQPxGsMZGZJozV4MRYB5NoWqKliZI29FguepjKCI808t8m6IEKvcs1Mi46mLTdykye43MGDVyWHXZ/t96sdo9UEFEMaptKVL+wpUSAM6P3YbL6wJqo0MVLNcaqdTeMzBVlvOSSncKSzhoo46Jnai5Zr3afKA+EXAwxrpOCLyjGCVkKBoZWR6r1jpS0MbXgUn/Ka1LWulqyJvQdQyqo5ALVrLmgoSK3MkLeqbu03YyUK10uU9Ac/QsjZ0ViRFOyPtmHR8oljqQOnzRTUaLWiYpZ5R7ODuiOEh/wjMsfc54RjMpGMXD2qKW/7NYMxbKHD9GX2YdTynGJo0iOpOl9IHVjl7xJt5N7IudTDWMIIjuJeHyEeSnGkzuh3jxHtom9niR8j2byOnPTL41oaT2WeUyLQVJ3DXqvK8bJi2CYC9YltfDJlXdVcpgkmhaMlh79hfSIy3cnjWUD6oMNdrQ2i17c/4DoxdTLJO95wcvUU41Ui5FombxeWtTikSnROHGn3K7ojvrLn5gLJQunalNNHZTyMQ2idNXgSvId9o4SIdVDbgYbX7BHYq1/O5C5RGJ61dIt/GrYDwuZRDXm2JPq8/XINGRtsD1kRSaxivJf+03+J4WsYq6cgJf98LOiCityPeTaIbmUsojAo0lu6FhhdwqDLwXRi02uP5P/eLr/+Lm9CtdiFaKq2J4B1xsm0d+KpBJ8v9cDFSe1dcxivIdhTuAF51mxPWmZKIMwUBWrqkfuudB3EUMwldzfMdL/FU30qWO+pXh5HI0Ig/5Gnxf8s6RYkSRF5GdPnTWZ3FpNVnxHARFD9bHnuW9MhAxFBLJuf6e3u/+kdJA0ZoOEj+40392iRgxJ9iz/gHfoZ+H1aKsofFMoMtqJwja4qlw0tcMyRW1e6CuaQAfkEoiMA5Fiv1MuTmx9S6gp3aIfGbdHy3mqvvvcp839eZPnTP5jFrmbpmAyrpQRb63RTTe7pvaKip3qXL/XL9dFJrKGkkGm1HS5DZNbIopvzDBElxjhTHhXjtPm6Q436/U9JWw9Mp2Fd7tVt4yxEJpfJ3Tfu9rsmcIX1GSJmdETibF9nSjAptbibr+kE0UsivStyIE7xu0/EbuV1XLOogsq9MxVOKi0dy/KiRhUPWrLCZVUag116LGMDzvLocbmxumxTMEbNEd5Z6r+Zq7SViSLNaIkKzCTwF4TDqgGr4n1eSEBVPiwWj+BDXQc14pG31JW+yXXlKu/jDEVCLQOeyDuOtxdNsTiL697RUtOYuA7lxRfbO4o3RUJ98b3Cw9vqTTO4EcIUv3Rf6NUXxRh+qyZSsy3Je8R9IjkslXbFfPrD7fdenl/Us7PG/6zZdBiqgfhEVhCE3Rvvg3XahKda1KuAzOJhlVEeknVB4Xdc9WMQejlRUZ22C9k6UquOSe1LgoDrz578gbFmGpWOGTcUZnYKEj0xmhaUQbr0KJmNcK90KHFZKVsK3lT4I15wQ7sywurLIly7dW67xjxEevoM8rk1I5XjHllM9xXyMoieatz4xr5s8tB8QelOsJPF7LXlBYNZ+DibU1Q96dE+WNFO/JRswelHpkM48cXtV2qjsNGUa1i1ev+ejS9tzsqIRUJCznHqC9H+w2mKuxZ65ndytXmtjhYQkGNTS8SVPQmyl8panDKjQgdfr3hwvhy4s0d9ALmXW8wcXL0Vn85k7cg2kRCtLNHfmceZ2G14nx0CvsrJxNEEtaSvWjjHXr3xIXQwOY2lG7tgVvZ5bG6UvV3c3kHbjQ++tkZM+k8AzQDkx1M0X7P64+r3f0jaaU5uWlRUY1zjslL65PRq397WB2Y23mUDyFpJntYk3EisWRs0Wjc7fWaCswHOTbv9C98YYM9FS1i+tu13r3W512WKUdPiabannm8JiLFisIQ48s3r3aUNM+42LKmV/i7JybmWqK81yHCxu7QLxHba20eZNE4wQ3sS1DhJazWWbUm9dSLQDnejg56xWydSiNbx1gsHo8O/ZVt8+CRpqoItZBUK48MEqD0ko9MKYAXlUi+V2PvrzcrgGvcB2c0Q1ByL6BDSwlW7ZKyaZAxVZAV22MZB4iNCXX/WV+CD2QfCxOqyzxPdPm4EeFHmK3zA7rqzxJj13nF/nQtr3GjK8hNU9x0YBgDLYsMmoYoQlORZXkVS0uYVuKCCsYXxJP1R+8o57dPyDRNWVFsRemdwpYiIpP+6Nd8q6t5T8JbJiM5vQczhYt4FOTWBy0ev5Ne+xK88+ouPT9nf3+TxR2RvOVDTY1of3a3Wdyv6N7iHha6AB0t7h68Iqh2srh77G0Wd4+9zeLusbzF3eNut7h7/K0Wd4++zeLuGeQ2i7tf9zaLW+34Roub4q0LFnePvc3iVvxxk8WtTukWi1tBb7K4e+xtFrdi6x+0uNXX325xq9O+0eKOGTznn9G0xS1CuBhRaRSeebNKMz/Rn+8VO7C8JiZBCaJKqWWn7HK5ZNbJugUQBWa8nXK1bMjFKiylwQmbIv8yDT2WqR99bcCmv/n42lGshkYyTjhe/cTM9L0slrKRJ69kTbjLpu+gml6iwKLHNtOXuagIJcQSFO24gBpyLqwPinoDb/q2Mv4Ky7df/j2lIJXRiz45uyLXG1k4JHOlaPWSj6RuFF17t7qbtSbz55NLVR/UV0YWoUOYj/Ot7v/+NlkkJBOruYaG/rP/AyOJvLwBrkSn0H9hpAnqpGu1J+hwbJy7uUEtKmrhFdXN1YbRyp81mEpjhWIk/2+tAi/FqZy809nnOigYFZVDZwh4K3sslVYRkFZR8WB22IcV1U9RMAbtOtVHU97KAZnoJqDA+gf2XFpRegqKPR7JVr+iX1Sv1qWqBZCNLufkZoy1PZB5bShLS5rc1MPuXBpraEYGwZhnOu9WUYC9ohgl6X0d4W7QB71QciRvm0FOyu3nOyBdzRcY/Iqnf/UuLjRjdCjpclHtc086RI3YcfomvWfkbEJr0ur1F6+pxjBVrLE4Y4tPtzQLG66ezQwVxpSj12ez/sA4YwqKwapPbxaXnG6yZLGRfbpy7YjsuhjyKK/Cy7VjyqnsiLQQsGGH/ciks8jBmCjCIinwV85NnfB/QWGZ6zqU1lElVIUlU7DRAiJDLr+AhxvMa4vuSDXoLVMds1rn11T0Z7+jOjKKKmxzLApLtY8YWluz6I0mNtlTIcJ2Qd5dT7H9mkzxFx6BqtKfFUOwVOQewsHYY7fnNz2c6a9oUD72AxyGXMOabYkXzvm6Z0AEVnNA9/RaEDoGogpdaIgVz7RVCB5Jsj2WKf+A8xgVfpqzLig5s8fPjCl4H/RtorChmXf6gE4K0lUrBcWFJZTCndAwa3MQjdGMtdzJ2Nngk5KzXOkYAt82azm7okrHxJSz5Uf4QsybUGPQqy70fURffpurq2qju/vbfNQ+ox1TAw+cHpbcmFPQ4G6zw5U+yM8JoT326l6HhBBGREOgiytec6i3Fsr2hB04PSyjI2essP26VRn/mTx+wSZZV2G/8LlveDk77Jrs5F99s8I67I6McSGp0xmTi6LWanO3JkuDnAi5rD7917fHHqhLwdMInkYv8B7+nrLkINC9ptnSxJWEmSnZD+fYcbmrZ5Y/zpb8wFit8KYXUVQ0oahuyAVlqjmdv0RLbZDjiNkW+oQon0QVsxMFeTPm2LJ5+kWusZYbD2x7T+MtDLiesanwqejtMTnNVlyoxyE072zRV5nTRfGKlRycFj8UwWIWKwNZIv3K7yhjDhNyRN3Qe6bafKJBYOxkJv+IPkcO9JW6tUghyqEhDT+2hwlRvR1V64cZWxENDbpfeNEoh0WXncXoBq/AVMAIMy5EAkFu92Am9x9pGDWDAh2WTM0pMTUv/gv26GikQnOmjl5UQ73jr5St5McaUD2gSE3ZSnYMGEqkaMVVdA7IeRH5GfUpL/goA9xPMVdFKUr4RVHfM+YLqC+mum4hvy8VV2f7va7lDWhXUZuTo4NRSh7MI1OCU5vlfG0GA4VQvnqel4el8KdotfaWsxlawaxo0OX229Nya6KQKqmtEr42h66LzupvpWKkyDcVbUt/MaPjOe+RsjmXUkTioig6OfsiFk4HJVU0V5DcNpOvb6km9RPxbJFfXJ7XZtyLmImXRWGKCnu5FnHoGiIXbzzM0A680IK5jL6KkJG3qF+SabMnGpr8D2RFh/31d3/PVLWi4/tRVbr+vYNqUJEQ08sK9YFr+RbkzQ5J7XVPBpusaCr6WLfvGFVWLq5PAaL4zFYXNFkLq7kWvTDl/XFoiRFmLEHGfvGC2FDgn3+BD7x/shXkOlf1pikXI2Z4id2gN009m/DRC1dqDvnt8Pc3zT0KKNMt+TmS+udApaZFTC+VR/+EHuhYaJCPjWje1q/8wE2nNB5Veykr9IqKZ1rUTqekl+ZcjE6onL3oKT2Y65ziHdI2fVAE40KiSfRYdGHtF/7OhPhCHKOrdkbsS97CQffmCq1Zhtoyq5qVDEXJaJJRFBMJaFyeUWxDenRTgnKnvptriyrXqTYFvEcz3X1a842Uk16ZSyIRuZ2DdUOPZR02DvNMkBusKMZqA6g7cT7ow9pyUTSxtbK8OT9yLSeyCME4l15W3n1cbR65sqxqxNp06gf+a8XWVuUoIsme4DeMoDFxrK1FR7826+cSrdNm762Cr6j0jIy+wzEq7Mfd9ukL1SPVjdnnosn27WHLxYoyRg5ETbaFGvWCbvJi4KpF11Tn7to6PLuqwO8Z542B+6WKVaEW3nGdeFojuuTVZinLGuaB9fDS9UszljVapOaQ9BkxGgKa8ojs94XhrTMtdrxoVH7oseSsA9FrsiuhP6dhaQ50qvLcOK/5eUuFTsRKRfFKD92QZpC8Fc6prVJsccweCLPjOdw0iiagtXSKncRd7ogWYolFYe+4nqyuop/80GMfVrvV3WG9eyRzTW2rvn39jYG3MbIoQygU7Nen2uA2T1MUY1tvnMrxcmGsHvNkevBuTTU49RF+Ca/RqwPVOBhuoxLwp55khy0VYhBZn23WJONcTvI6eyuSV6Ohx1FxBmegUcHI6X/hkYpYIxeiOI3lJgGYMRZIhI5knNAto5x01rfrdSr0sNALKPgaNcUuTIUe5pqYlSdOn9bFgpRZam6L0seoeZxreyoYOS8bNJ9xUQoUw6amRfa8wlCtoutxqZpq725Kzg0i2ryJoiFcLUnpw8JVlLBcvEaTYQLR/lx2J+xARN3hPCut2U6/JCOH0ArABYSheuyaiw+ITmCixm44z5CpJjm9Vc6GNS1+fpHGw4KWHGOZ0vhaUGPWMTV7OPh7LBfUQGZ+rckOPfgr2V6oYFbz7JSYFm8el7BETSxyuHuoo03G59v5ecA7YwLqMHrs0kQdjA9K09Pl7W0MqfMGD3r/teTrZKAdF42muumW1tgaNsitF6mVkyUhdFCsQdvbaG/hkKLQU4y1tz0aX9WkuYuzt4MVYybneJHi15tgig1WUEbRoz9TbxNKzI0PP0Bx1/IkUi6KYp/JWcBWZJdel0pnhoafrNMcdtH0u/QytdazoTuoJV07YCqfLaJrd2DmYUIBcj6+Eh324Xo5bG6iNpSsYHtuTI1L0egVaU8MVHufatE/8F+cI962yccw71/QzDjx51xbvV+qnh46vWk5YQpM2QPyua69xB12x06ZNMZ5tdXmu7mttjyIIBE59Lz4n+MfmM6GYj0WEQNZof/CKC/NAEsuKuwD50Y3GJLbjPwOTQ0GQ0p2cBHi/gXMB7KtQxmGi3plzux8nkQ6AzOPlA9jiZiz1WPZToNVdJ84KGJT6b5tJAdmVnUrD3y3bDg1DOZO9qtfr5WB2z+nXL1CcYnceTTFpxl3kAXD7Vk1XmS8IhiX6xAMhpGYounFzqoQNsn5MotcmcRsxpAwfl2xyFLawoDMsFIxfb1HciVCccwtWaK/Tl/IcIGpuejdtrSFn26aBhBEgKP1aLnU5H7oCmBCsQVRuA5FFc+I9SPavKtDj+X0NdEh4D2GEjFB0/kSKFCozuCEu8XfU12TLApoELfssFS+hDVFXjgM6u7BC4+qheOlpKxoReVLPKcOF6tJ9Tuy75soeub89y4QymEiOLrjqBNm6ITyhtTMkJs5C5WnLhvvFLX2ZPZBFftYM8YXqu+SGRGHT5ox7hYkdOu51JT4Dsc6qCzmt0frNZ3JjImS2mStyVffUtJVYURUp/fM5aNhNgLaOvRYxkGFXDa5RV6v+3GhOMOKvWSdjYo1vpLjH5xryQ798W6o2Xptyi3e/p5OnIko+qnxCONevIVX0qTLGKufndBmOaENPY/QHq5nDK6DQzFCaFPCdTk3nA9ca06m8sEnTxhGvZjXa7BbkzGBgvmJzloRs90vvOdmGMkjnIpXqzOl8qJlYYix1V/OVCnhNbJi9kSF5fq12TYINSQF3q/vttRobYha0VicIhhnAUR0UnCIEk7AZEvRiM6aFW9wt/CCoIWnxXs8Kst0ns3TkwNOxuXZ+XLhouhcnpzvwHbMRysDKxZpObvTpQ4u8gD7mmf7fXikvHkFGKM5a0OmOEcxK/2gV6Y8U2jx5prfouMMMuKCVrUm+Hz5lK+mDmNOdlXYy2/h0HflKyHPwId3ZIg/ulS07LnjZnQjxB9bRtvNdwl2h/cupysS5GoPGLmGmtZXykIupxuJJIvBvExgowJNrxWPPfjA2R/PFY+v2IHKXH6ueCRWHC5VPPZYptAYXvmUjY0K+5571qKoWdNvHuhhM7VFbHzVJL4uaSsCjj4hwtSf6lfKKYWs0gpFqwdTxg6CtWL8q70eyKEb8hxVfT4PC68KpsOJdqY/l2pU4wrUJH+eustzi2yKUCm7rW4+3DArTu91y3jfgtxZRC4VdrcwEQ/9pGt2mk4rctphFFUlB31dt5vb/LO+Kablee0/fjgQzhF5vuWMYtRoRnVHHicGA2ks2eBengQnL1mP/cYldlfXnI2vWLopGIblhOSdV+veryHXN1TE1SFh2FT1C5y5gxzr6JPT+z6sFywWBFujKd4PPfCRHMVpkk9605vnMUzX2uT5mBQKo8c4Fcuiub0CfyDTqtFUvwwUic+0s2zNZ6bggZzk6yL8HGl2uNNJbcO13sXGo6fJj1Csle26GjT64sC22TzfZpfWGWf/dJsUaZP1jjeKHNseTIquvCDPFsHrpELMVRTrqgdh0BuhL4j5nK3GUnZZtaMoz2LMdrs8cF5VY0MGdSeLcp3oMS8gqs8VVt5zNasY/ocY6xS9FKcUNhQujMMUw7YcR0ZICag9n6JXnygvYRsMm2IHvZDJO8wNOiPXz3XYL2RXu2Cctd121wcyM8PknrZMZwB0JbAFFcwdhe+oBEc3+ooeVVMo1abXyMGUbHK3z789cSUffhT9JKVuVcwBY/x7Hr7u2JNpu9lT3r0qWFN7ZvpGRblEsNRQar/dTwuJ3aI/We/CmzlmqXdBGlONsT8WKt1fbB+TFd9ydTBFZG5VwuglqMXLa1y68yGtYdbT7TmkNcXcFtCaIj8tmZMpRFQ3zTHXz6LplRaF4FPkd7I+p/ho+h3u1l92a67QxOTRheBjt88N2f/Novy2W/mwvqfKWT3aEcMd3YEpddKjHlwty3VvE1NHVKXqb99rtBjjrT539dtC8/zUBtCUnh8uVXkMepZ2jE1pnkCpmBe6axhUKE+RlHOyIPrjXbckNY1FlAyPBnH0VRlak5vicr50Va5qyj7Km/KCHFjPiWsDctqLMFmT8oth9q0Ppv/aK5OBh16/FiELS2S66oJU92j33TT6ySa3X8ih384g5nnzLlvelDwJ/S7J4VLeyyXpb/OW9FcGb4Pvdrra7G94TvoX4RuVtYjkGwxA64i0uykw5eWlhzm/oNzqkbnBxAAaH9EDX/mFWsqS4JqarvyF6ZqPjOdYFXJ9WG/uKMPWoX0zujhO4Zwahsb1toQi4miC3XNeIpG6tY0Bn2JFDRsnLwwyhWM0xjbw6W+Tc4JxICpZm9L++5/9KP/am18+vHmbxolwu/Q7qLaw1UX1O2//6R9/+Z//8g//8n//y//4/yYncOlXIM8DSiTVr/zxn/9hQogJepiiUV+JLMys0L/847/+05/+WX3DpZ1MOdd6zCh5/pU02mX0G1jYNeXkTujGu/+0Pjxs77efLlr8l5Q4JCtadzTZf/9zGM1wPJU/Ud0RQU44lbufebvd3a+5BlRVRABcNR2caXNW0BemNNugwx6otFaDIXjVavCrL47J4UHOUY5i+/Vbf9qxU8xMTP3Ob8haTFnOvrqqCU81mBCDFz20AkW6YZ4vaYKD06UDL7QeLK30IkZNrY+c/WmEURA07an1jpx6kVMq+nupwfVywzBXXVOZGvSIsj5nYGN1WLbyAr0lRdROlh6IYX5Nd6gp6t2yJX012qIvxX+tyXq+AHVX8xSle8BFUKZHNPBDVBEs9a1f+PmVB6Kngz4kavBa63oUNLVukr6DqxDs7uht3S9ESSO6MRt5u6ao18Exw3V1x8v1E7tpCmWG9WCWlS9GmGKKfCADHilXvHgT6O9/jq/v/v7x8LRih+ymcPqG54I+LhNPLNxoo6w+3QDV6xvZkjBUOuTqE6OpoYumR1ytW/TpEzdoA74kMVQ6soVXso1ku1aDPlUdh/3CmeelVSD0J75fMLFx2M72RJbTpVpfmwrXmQIvpRzC9ZV97fbHZ7K4UINiiIErtxaucOcY4nKHCrE7i9BGswKZbu+jKDlKTpA+zCQiyiqiDgs+TFu96bl2Tw3EyJDBOfaUISu5Q7a5ExLkII0MBcz0O9x+XNijSG0RZ/68OLi2xya0Yea2WrtQLaH2REwRbDlqzxi6tB9TPRMc/d1qm49Pq49MwSnG3qSEJLUpfE/VmyITIGM82xR6oSvAGV+kd6WFBE/YlnK9+kQq1dlgqPkJP7xdnl/sMkY1Ttf8TrkwRfCIOdfv9H69XyojDhh+52K3yY8brkNGe4qz77lIlEJqviPyQmv0HXZHBf/bAAjTI5tvmmoKjZ4isZSexFzFUJsubWLtbgA16B0jdV2Cn7A7nu9UrRHGBJrcf/Bm9ZlsB52iV/y/PJ7H2WJKt8s70nfmDRT26WqrTwsZ3ejOW/05UbSUQd6U1pSHxctyTmc9ij+URfmT3FwqghLLD/Ps4hT4sNp8vD5+6Hkege/Wo/imwpoISZTrE/Ab2RfU59SvuD1OmR+WNVQx6WOYQu+pLgi2jtUEvEcn5L+TXR8C/NnTbbr81wVZGRA/qd1ZjGSTxZCSL1Pgn7hWDchlxWzVW48j+TZS6WXJo+t9959c8AXjskJ3kssFnc6Xnr25pOw25M127MamC2Hmrvz3dM0PW0oTtSg/he5zQn66Ps7LtdiAK3PIcs/GUkRCTTe4JUW/yHDTMdsxAD9cq04NLZXoxlvfYh8ZEupWPmtab2uuPuGzFRkyiWhtO13xO9XITQRNLbG7En+4YdpAup3XJuJbVMuYzbPTmbF7JhK8w54R4sPZoTJer0qdKGYM25RiUuBv3JQAL9pzcSfsMBHnRL6zKfOV76nmbQUptVAqO+xC53uH0K1oaQq1J5XmUEKuaq/H5AMqviPGeyhWb5caIgFnBZod6y+/UBw2zNXhGo1T4PdkgL2I2PZDj6Vqh2rz/xe94xWlhVdUSVV9G/Zrav4V0uFFcmhyMdmpA2LYwtUmKLAYWJlLxoLF4wp0o/4+kuq4F7NHM/ahCwNe6+OfEhq99Og/kvJSNCx4xH5o2wOmh4WIgXI/sO0CUZKmrEKnbk6EbjSoDDgvC4aLToMOxbgOE1pWtvbfPXbFzQ7DtNo8wR5bJeyohAe5UrJusFEtvd4x1QDomZLQVq8HU2Y8skJc9l5hf+UuFXJWq41Zww+kcxkzZJMiGZ0GVUrxmju+Ma8MquJbF48e+/K+XXMtm5Sd5o97rm9Bxggc54vaLropkxO1xGAJ+pDXZFm7SC+jifWVcjBjLmOGzO0vxSdy2gq6fg89lsx9zWIW6ts4LDkTXB2zNaUw93+YN/VEUpYm8f36C6VDYyJU0nRab+651jJIrrAmaQHClbYfI3H6fKmA9kTOol9VKC8Uu650yZNUq494TjvY5biFHplSSsQokFc4UesoKjE6YXm1ZsumYQrT/RgD+vP28D9RjYdsm9MYk177QPYsScbNdsuJOo8CkxI1pXdUYZwdS3JGb/kbFYdrU8qKXne7u+cCcWh43cJ4HfwdJSvdGKPDZerotSLrCmI1wap1jwoPo5UjYyLXODtqbnQvQiTOKeg9N7oXqYDGa/a+4npVVUzySEzRzJhiL2tiGHu/5IWIwzDvSmUscg969KfFofWxeBuHHvWd9DcUpLLp72W0aNRrmjq7/rDE18wUr4mklFdGrKeXy/TAlAQlWTOnFhrq0MzjgAT5FGMUc63Dcu4LtJbyBVN/p+jh7VKoBhOsfVNp+0UvSPgzzlkReSkq+FIRVBtvWPVOyXSFlqDovNroPdVB/eSl7VZeUx5eBMPc7Gz3I9NYqs3fTF5hf6HcvBVmPHJhOiyZqoAWxMHlG9kCNl1FHu4PsQX0SdfGnd3CFk2sIgN9xhbvyPLQWBQnLmuSqIQ1s31uSE0S7eHDjEY75oOHZzFXNJHu2KZ9IuYmux3OiTlGIcSDJJb7ScwtS9mJmOvQDNlyhrIC272DUh3eMRBPjIWq113dkR7P5PFqv2Cnbc+vNi23vqoVqURQjLC0zZpbptJME0XUs0BQddglwWqEpVpAuNsj5yTNbQKKVysyafuYbFZDLZqblsdXDqhLlWPJTkO5XAFEopNV26Wco2KcRIvmt/261EC15i0zUR/O6uMlK3DQlnryPmkuPpDJuk4Yyw899te3e8pBgaRbMR2nfDWwrQow1ywFVEtf5OfhaiO60LIc+j1TahWSdjOmlCphRQ7ctqJwOEWwBT9QS7ktpbqo1rwf2aE+TbqilW3B5NzLz/0wm4uaSgut9Fhy3J5okRhLLC9DD19RjdWqmBfJeXnTXtH8jWoNUmzVK7/2+7k+G0Ie4hrE6u/BC0EhdOyK8ISoJalOFsg/t8E4tdfVbk2qoSkja7Zf+qVA4p4JlKDDS0VDGnVWVF6EnLQoo1V/wMQEJtosiyZtivoFTg7BTRqiot2erW40Qd+NkSxvdCXmoLB/YbKWkEdS0G9M8QoZ4a/ehkFdSbp42UVMjXLOK3pxTdZEZGOc9eVjulo6LzZwCDyTnMmkSgXv5M1MMiAyJHLUaP6+TUFF4okPgfJ0nCJDryhaMcWUBtF/olVYRhwMooigZ7j1Csy8qzmI3IxoldpvFYKEUoMQWCpo86oWb8oXM7FZnsiKOSI9/N+vpm1bKyZIckbv2MW/UjEl0TY9GlL3aCp13wd0HY+KXJQtHdqD4fRWTzOir8eUEiw2G84e8jUNV97joPlqT7YfE4W+VrXXA+k3EC11tu6WbOEpOoi//ZMHTPKJqBxW2BWZlQYfeL/Z72RLgIpx52pVqgtQRVfXVDWhSN3UyLuS0XNQXb4VNeXNofFHNZqlDmTwrGCGomYObh5pQFYXgsLnVx4Wyi5iQXCVOuNBZx5XMRbTTMx+opwmcXTRzVfmcq3RyMg4p6/TdkNFOidvUgttefWaDsyYOWO8xfvU/QLVxxNuQDkvvfoj15dLTOwUFZQRQXjDg0mg+AuW78zljp5L/ck7phVAQrsF9HHqsZfjymreQcEEw9tp1bIl0OghDz12Qw4vypjJpdal0qbkOieQWh/SQl4uIocWUyoJlpoNL8oohsXz0tN4teQVi2gYg5BSzxSUDx7DSnL09s1F+l4W1aLPOo8hGOS5Dn3FXy5NzN98CdAVIUU0h1CMTGcQ1ubEd0ERjEsbEG4W9cxprjplEA4L5XyYCK8vElXC6+Dp1beICuJ5zP9BgkOH/f3P5bVM82FLpZdgKo7PUx4dLhcPnEmqiyYZdeanYlGMbiELsE1FJvPF3XygopNFtF7MqL/wOW+eP2cpeJ3daJ0z4fLn/MZwBkqtREX0Vz7nd1STGnQfqCZe/px3pKlpHGqwb76gwzEJscw/4fxWlgrPUxwgaoI7ZpDvVuTgqWLlfRdGKW9O8AEK2YacrSr7t/nNdG0RMPfUcDLn0O0fLpkJ+m51oKrfAmqdkDw2AffcTbwmAYUeWf+I5m1iPoM8DiYPFz7lNyq5JKJTZoI/8fgrfBwEGaLBX9nF7xgXMAYoyA0toTuOP23IBiIuogXPFHograAipmbHvAsjjFGeEy1G6UxBezLjMLeWolPkN8YXJzaTqHYwTSfIFZlsGCpGaU6R1INkYbNU3x/IO0bays0q8rVh+WuHedTDuGj7k+Q9tK51k0Ky0K2cAIejr6WGjv+53p4oOMCQw3P8cN3ZiNzqlPKtp9qKdY6Fhd0+11wjmDZwvIbSbXXkhX0srYN3TS99pv6NaUePpqRGhFVVYKahA9L1sxxOVtgHJq1yKAl9+pAW3aOZ+1NR3ujzc9Pyhh1u4snmLQwB+WBn9j0sh1ysaRKjw1JNiMU8yjnFePuuB8SnRd5A7+qw30mXoUmouO8pxk0eR86QkFsv/JXyNuIhQvv/Hku1pk6t0SUER4clB2gOeILgWunRdBUNrJ0ckmayDRkdSqYpQT17US+SFVOnVqvJTQXUEOSRH9DYL6vdipqJHa28EmZ6s16aF+64Lk2mZT/5ocffKMgwyji8lO/8zMSqqwDEpM4Ku13oEp9ah1pc5Q7GOPFgiGe5z/pzGe9BRji/ivA8YemhVhnOGczRVesyQ63gQfMJCTk99nKh5tD5srxBjxsF/n+Wc4+sz15U4X5NyphA7n6CAtBhD1vKFYURfOjw0IMXIkKutf0wVaHIiJBHG7oWquzQ79hCoYjWl7czRSsUCgh1dMtSGaGxIMk5aZ44YPQfpei70dWSZ2fETdFDQlvwM3L/6p37RKYSRZOqVdy1XRxmicSD4jQz35GqtCh6WTMWl4mOZvfFBn19t1TlDqYHpeYm7c9ZbPvtbi9E82R9uY8GfsDuV6iuzvKmZt+c4f0X/MRmFB0lvNwyMQ5vCByIQi+gAAdgh/3GiGqPWUBNY+uwa0pXbO6QWqboW7VNTOgw6Vm6TPa9pwLbqBJxeCs6MJdfIxA5IhjwHfjD0+aO8q2HIMdtcU06/ILIDxkTSUJVFLtU/XRmKpAYuVZ/9J+oQvVjrrhmky0lytBZvRqnF6YkGWpxhMecPuQd6RtH+0WrCPaNbC+Si4uzHe/u95RjAHU1oaTwA5cS3c+9S3Az/QDBIma2O/3dkPxkLbLLKNzw0Db7rVOqKlrBZKf2PXDuhVLHIqtrmv1E0Ey01LGIDZnf5FxEptWXBh9MCFRoM9aIpuQ9mIz9ejmvUOW5PMGH5TIoH0TSRwS71aLMbgN6g4RoFXbhefZIUnHZDz2Kay+HaSfZe3lmpujh7fq3L1RWpEdbPae/eL8QwgxtInfObnY05LvcxmrXJJTWv8AkggbRKwyKZNTR8q9UiJiCgDIoxZjMKxWSG43oU16BGQdjgBeqxZt7LJWzFtAfUjh09tX05OoI4ZtNTorZVlSGHwabRzx1Pa+1B5YRJVGupMCtn7MNIbwnwiTlMaVilmI9s/sZxiD6gVc/wCgHwu1incUSFZYLFHlkhTlksb2iGVkkZrcI/OjUmi/6/sJu2yhYsWEVmpIrg6+glRNlqkdfHnDciQf0OStFbxehd4bRAua0YUi6WpyZGBMwxsBh7oYiGjViK+CRL6aeXXnpdgp7VZ+cxnLySCRasDEpinGlpCEhimSyZhQmjz/Ak1+S0dhV15j1qrVi0BLCBc1oVKuSiCBPRBWsupNkCzCP4cxGk22hWDKiZ5BPMTGCQO82wJ8FV2uPfVr9xFyrkwwTI0/+9waF6M1EIXoBD3QVrugIKCnHo9WtfLcimKRJzhZi6sHXO7NAZoo9BvnVL0l1ihadBnX3Ygv2u6V6RfsEtmrKX7f0SG0WU+UjzshjIocz/moizHB5B8KdtbHK9IeuJMIM0x2I+pr8/Ctui84PHuPmArIBL+5mek8jxhYI0LWfOf0NeqZcU5OHDBsqw8BvPyMW+8vvWEpfRWFYmX7OcPwdN9rn3/nfmN/B3GIj/+m2Ndy8LWShFNc+Z7at56kxjlKjvUgUf5nK3GQPX9GXEBO2eo6hni5jx+qcogiVUDP0v9PmG2e1lbf/J0FOecFGJ2SoRy6x+GdHcp5GI91TtV7BVQzSsZpNbk1Gw4Meazax5xMuGU1MOZHw0V69goS9IMa/E7XXLlzBYYG4sWLIXPuZpSt49cVHoWT21z6HScIPImJB2MjwqhJuITv0wbbudl6dGUSlehgU/e/cKE1CwUzOaO3AifzLP1TRuCW0sNeEbzl2gyJVng/4LFXI3MeIfGiT5lQ5n/t4id8iRn/nauMVfnNMt2xUMHtj4zK/Xe2I5YKYjJgSRvHb0GMx5qLMP4Hht+nAhBBaU2xFWfJYRB3KaNHZM9lbS+U5+hzRDNiKoiwWjne+ncZwO4v6UpAOgndi8kONRQfqgYo2qa+4PR8Wj5W8Djbp38EQlJcf8sZRP9XGzNqsf2quCVyVirZNE4RPqSPLO+bJFK3eZbHvFZazdUWxStUKV1yk6O+o30nPLfZef2egn21UJBTMCBa9VwSzMVk92wP7bIeC+RNu6ViZRxPTEYu7fKrP7L7EHpjjUjKuvmZ3QqcSbTVETLpZYPclBkGX64AGZIs8evW5g9LbqnMoHlVPXG1ZUVnxB8Wjot2KuQzb8TwZBjJXG+LTY0h3//2/vnWv+GHZAyjfkeSdDS4/4//7ak+1ZvaY0twmWvd4xoAefEvQdDUoMOepgP2UXJIr9oo+9i54T4lshNswUUF9N0Mz8ExyRdOM6TIK6yhm6zW9uMBCEgkv1vfQY5/bLTD+DnmxkTpkg6LZQqlTcBiyUsV20Ke8p/TagCTpkmfEJr3M8PDbGorGn7I8LrvicM1ysopkF/y9swuO3CM08Z6iBzKOBMW1aNY+H5gc5iGFYqEmKiZZztMYerdaMtnpT+B6e7wKhiEVsUpSNoFvhysfiHpggUzBAyUZPUoAbXI9lgwX+oiea1Zj79dUPCKIIiYPpAK/9DLhXGTG1zKjGbVvzPiJQTSenmZ0KAgKYApIsFOEo0JBkAymeG81+gNzQR2SwND2dUY6Mss/QJMv6L/Q/8KB9CnIWyrq6iuWf4flCTIm+qzWHSlzHZ23yozbfmbMdRFp1Xi8uz25mXyPgFCfCPGg+Gz92+rzdXFY0VfYlKRW/fKJSb9CUMLG2RGt35F6QhB9R2gFt6d3RzBlaw06tG99wKs//SHOHYCgoROdUQjXf8WN9Vn+WEbr4ukjhh/yAIvy1DpxpNTCJ81IGH7AA4z2C2b6OSefzbPL9b9RSlEdU82XD2ngtlVRA2PA25NtaS8HYxmLRHRI8bnIM+8oaxaTd0vKimM4D3AzAecUudUDLCdRBB7OndDzD/3vjNhAgaM8yz9yjXp5i5cyGjx2t18jhGV9K+RW7H/jNYLQr3Ide769OeKAzBOfm2yZ89vAXyMxS5HoOb9Gt0UcQoJd4lP9EX5LYlrYMP+EW/kNk5/kRU5X+O2/MfwmZlJGVvn/Mr+JvRviD4rtaJBR5efi9kZ+iwYGVFJUuZnfojWtS2i8wm+OciojOxYujP8lfouiuRWXf0S8CVFhDrrbua23NOAoM14f7pSuI5O40FzB5trXvPVUEOPZeMEHBfQZzeaW0dawIoovcqqvaCYFAtmRRrBZLdr3ix6uBeeFp6JV8OuNtXxqvZNyUSgugSGj6RMyM/uNknmS6Ip3FJfd0s+5CMM1h3cwGLTS456oMJdBjwNMmTtHpSUTBzMiao5Dj92TjpMU0Z66xzJNbeBHDs7OGIOp+Aytz1sKGrvijCovgspHTazvP+23Oy67MYhq6Y03WdFswe1SQOnsg+bKj1S+mbwVydekefqOcp2YFr7UzMW8UdG0qt5QZ7RueVtUEeJLKpMi118YLIonnZmxGNOMfCLwUOabUzdI87JV1jL7KjSnDkalMzabH4G7m7EiYYWrs4VD8AX7nIhEyeeAvhau6pWf3cbDsg0YE/oJ9GjGz9HSR4soaQq7ZeiFyWklzI5oIWE1y9cKTyZFqU+kR8kan9Plr70spAtypeyMM74tPEdow5mLKwpGjWQORp4jZ3xQe6Xks8nPye9qr7sDFamsY46mOIVmAuHIrJVtG439A5uSk4obOujvf06vGs8fqdx9pI3IC9PTbao4UR8DF41YUf1GBjZhNlb0c9AH3827HK656YNNxerT+0DZKKhqRL1GD15RHv6CzvvW9yfw9m4pIFJFHbDW5XNXayl5Q54ZZ+fMRmVTIxGlZkxP68F/xyYGG6Pv9JTd/o15pxrDo8eI+pnb2A0JJCW7oG87maYMZ30t8xu7PvB1D5DFmJFt41V+G+YBimcx1YGZFl3emxcx1WGpXGXvMa2hTLDDDYPoPHrImQxL4czSFzcb5dXKDvHdnlKb/d9Rj56wa2kxlSl8ynI/ky9ZEv2oDOpnbmM5BG5Fmc0zClLY1mjWJkWIB2YuZRCt9BjP6zmGGgYcLFgdaSgMs86KwiKGgQukByMyQz0tBrPtkiIYWREGN6EJTpPscGSdJSsAJdu56Ds6ZZ1/pFIzX5wKN3HOzC+Hthklz7ZCZVQiBp30HeBmVyEEnTISZvsTuMA6b+bW0NHSPs85V5MD4eWqXlPuLdUxH3VtUVbXHE9VqUbh2VQtPFrnwJdLUCzMgpAVqdaMpJIHBVMck7vEbcPbf6BsODnrmK5y203WHIY9xHC9gmcWBHcgH+zIDk2xzLHCRJ7lotBUFamPmJ+EmWev4GOu7vYz6Y4SPTarlVcLL5RYKjbkoIlFJSC1tml+tuT2PWVywA3skleb/Y81aa+EitzIfuU7ylrB6EDkRir2oCIM8BabGjV3jDe5VeORcM916/963YQVfTHWGtIJdbyXH1e7e0rxCQh3e7Fv+mWPRuWiuW8Fkn1W4LstI8caSxpXo0IfmKLNATpDEJEwQ1PJXnY0Hv2heqqxNS9ikGa97jfGFMPsYBOCPmOm4zgY01iMG+2xT5t7qv/XAEtWlMWif+BA2XIiwasJ010fO67dU9ZvQlPNZJJa+te3q2PIYVjOyUjVy4Xu8VQFe0GUGe2dKR6duS1FRyuIO8x49ECWoIswiV6RbeGxRRMjjJjt1+SCTm0mx4xLVvv9looSpdEWCDBFLKpcXswZ0RFcVZv9ic+Ig/TDGIL82liPa0HufUGTuazQ3x6ZpBd0xInQiHrw4YF6lFEakV0Z1HeTiS5i/HmnFsaDPnARIlPEUlYrL7zo1aHHlfUKRoU8DPQuOGZ6rFyl/WG3WvDqwMKWY57s9ihBuFAJStsKBoL2S79nnnSkHoihoHnrO+OAbPPHESK6/Xxhm7T+Koo39pxtgn5HTgybKXjgcvYKMqjQpbJfeKpmDlfNGqQDqNtwsVfuoOPltWJiZg9fEni2dZzVt2iz/URW1ZeA8VY9qZb6zMEqSS5Efbbr/Tu+VxAkFuYgWXuStGSAJ8nxBoV+onR5NFMvSZTjV/CxXwVXlh+RMJ5Fw+2XJruaIF28ZRD3aIpk6N0Qndck+7C6O+zfUSZFRJNMaLvdD4jttt2tP1NBATRyiTYO/S9QYRCxgXNqGqfa+kCFEQxqChWzbJg6ENQWhWA0yR/JtCu5j1ltd/NhvePcTAg2R4Rte1a7I90rYplUfdxM58tQEaVFw6Meu3ti8lgRBag2lNnKe7IcNUUXk6IZ5egQoSB6btCfTdVdo/A0+qw/+v35rJzhjIPGidmpOYzR+nwV0yIV/dXyrt+ouyHNJr40RyV15NbpwyCR4hXeZXBc733ROvcEjV2Rel8W/c0r7HdKhoogimjxQa07UxnlhcSz02GPaeKX5S7S9DDuoUftqdKNjC6bzuqtcjYQLG1TcrYKfVg9kvZy8e256biDkj4GbQhrsy0ukPmyBEExqJjLmmAftytGhIg+IYofWjf28F/J5rnHugmkf/X4L7vt+6WyKvR0sk5fJ+59E2u32ji9iy9dmQlFGUeVXNKc+Z4UuU6Mv6KwVLzRtq79rg6atyn1DzPpa/I9pYdLFYMKG+GQKdRXnzG1Rd56zSH3VBZlDJhvXIs+KG6M9kTkhoIcxVpviO8i2OmMayrwM/o5uXC3o6YMIp1SBCeEUfcDByrNB2Ndm/LaYfePbMgTVqRe+ImbzwjHXzDVg/5T/HZDptBk58EsE/BwultvFur1Uyy5qC+n3IYWtdBos9NjV7t7KonGg1ErHpwefkdWyJsUY1QUe3gkC8ByaOpQRzE256WEVKr66q8LrT4TWseit1wPY5KkBmTkx4JiB4KvZ5I3YLR9SupKPiwluyCwhkm46jowdkEVvkALaIX9SLn6TBvvbjV9V9dfJ3RZCaIwFrXNkUxuEb1nJjb+r9frdzVm6tvoy5S4wxl06iiqGK3Crsk+KCHbqGUGp9yeBDVclK483wB6riO6u9WMqOf0ByaR4mEhmbN6l4oCHy5Iy5mobpXprio4pzVmaCIoxu/Bd1wHUqQpR+RlvKIHtg++x7VwFk7snmRUhCbB+wWjoMN+pSI0ZkwB4wMurnvleQhwyhRRgTrs7jvZS8W6mL1isv32y5L0Ed4Ww6/qT95T/NGcC6j+mx0xlf8+NB+nmNoa/+8L+e8ewyCjV6zhSM+o6G1GX4jwjlKPi5yvy5o3wl+vpu1GMWKKjVHfYEpiWpRXtoBht9c/bUhxmzOG4Knru7s/doYYmAZQLur9Hra3uUddHmPKz+APVDq3Cy/xwg58R7U4OKbOT7A39OEUaSscWa1amHqg0D/TuhCDAh92T3tKM8YM4Nz8fB2eMgmG1tIxNgOsX52NabuaFcm2rFKcMGKmX/YzpdcKdwcPU6Df8H9S1bpodmiS3u+a9ALnUlIe1DE/7chYuLwuqd/y8PYz2ci9uDTjkS0lbvOYStK8SfXfaC0RbIs3dGCq10rGZIJc9Y1arxaK9kLB9O8a9KLrHeUBLqP1LSzL8fO0ZhKBSgOX0zKRZ+EvDD0qLijWeM/WnNpS8owlGedvswOKFnlPVNTfG8y0m12k9f07yhURW595vfQ3vq5qKuYHuuXS6YmwyKlJL+uydVU97La6qpuxzWvioa6csMNNI9qRwCcmW9Ufvt6QcbcWquyg3LPiMNIetk+HZZ2/YsLLX/QhUUlaxy4TAW2Pe5odyJY71SE7t195T6nxGX1N/QXWWtLjEcRBg3i15QfqackImDk3dODf/xwnHQXJKZdo7SWPTVW/9XZzYLvvWLHeXLeNoSv59i6SrpiK7rf9ZzySs0dCRhiv3wGdFo4ZgfoY1mTvQVF+nbrp03PYPx6eqPCYqDhG/ji7Ao9bTg13GM5YrboDdxQ2oZYz6qWZAAgehZxQvU7KuqFPqcD8TC1v7p4+MXr08JqqrYgfbulZcHoghoDufCXd1Gcgjybm4N9MsQsxNjhKnc0dZMs0vw+YxS4meIdcnKNkW7v98AK6pT1Aa4ZmcuoWZHRuJN1mE1PiNtk5dNBdETW2U+T9mvreGo+9hLu9csOTDFr4uv4cYVIxFjsGs7Rmkh2YeQO8HTHfpHTIlmtLCcwij4BNZehJ9ZXUthMyCruV10wTsdZPwKMwpDvbL5+vTlXFvyuC0vREorJD4NqQu20HirydpuxhvJU6599hWU9GH5B+j9dzDweUQ0ZTYuhAGy65DAAfbMe538miF6jV3Zoftj8xl/RVM0YODYZ7PMfrn/brPdUQzmJwFT66w9ONY8VAFsOrBx/I3Ab5X3eCDnQ1lm9xb7G91LrMVKBWSuARXVMbJkdPIUXcWqfJTY2eQgs061Gq0qN3lGSED8SXmoMi2Wqxa6y80KFUvSrlSMCke1GQ9AlvqDKCILZmrFETa8W6P2rrLtHvdsv1MMgilD2KuxVnvjjYFnufiEbchnycP6nLuQ0RQ4X1bVqxkk4UIZOHHsyNvxP1r3rjU7fywFsQyDJwOdagT5qJt6EWAGlZitjn58RedP+GjBbt4RlNKW/DqcquR5MdTOD2dtA1XsDDhVNWsiugwWzjs+miTJEJEiKSh2+uxy5cYgTYcqlO9IQOtt1Q/oQiUt7Y0tN4YHsQw+ebcLzd0neUdd2K2zSdrk/Xwpye4FLWHMEJSTPWgllB/ZFypQMokYvB9eueDMHh7f6wOqzZIigXfLlAs6uqKIatVmPVZ1zSvAed/+tL8Zq7UHVB+X7rWIwRY45g7JnIRSSmmqgo/0j6INCZ0PgZ7U+N+Kk0EpHbbZal2j7Vskq+31uv9845EVpGbkGzutt5trX/C3668rAwqPCyFihyohh/KuMYqE7fOZrsFZhSH32btV01lsrQ8h5J305j6QytCI5xIQxq09zc0jSmENXiAz2bGB1T4eDtl36Z/3dZfaytNikr3BNV04AAWnKYadyjuUTANpe4plhO6OFi+7sz/SdStqGoldeHBypbNMC362dwblIJ+riK/afBDyuq6YMZTUnPDShO4K+kQEs1zAjG1WTBk5dmd+o982aWFrzzQRP7kqE9aDEWbYx6x/drUgXNwcYy3E4u1HOJNWn1lrmQFtzXOep78YlKrkXreDe7U8zs+SF6sQZFfmkwp3Mfsx5SUgxCZXlORDbe7OBfumBuF0TI81wGq3BfSWXZuQCu7LCcl7Qi4REW1Qv2ljziGFEpU+a7ZUz2JPpnRIfTHny3oEeiXVFoYaEe94kcTFOLLVZtlxtAUZszMejdYlDKbvX5qmcZxQg1ZVj5HfaRnNYlT5oJs3V9uqMe1SH4JFoc2jL2P8GlPYvmKpLvRQ99JRpTyWBk2QJ9uedMKjlEhC0SeeOc3J6hWjWY8lz02gu5ZaiORsBl6FEu/pVyh4qymavikIHM9Dr2tEnqe6eZXsM1XRMTrZ0+3909NQPoWeYFfacO25sal6DJYRFOcXSm15tTptcreLg906tfmAoNINOrFFR/9WCuc0lErndTIjow1QMowvnmFJIeyhVNhZehI9ZSl1OPLPGiP5YrHJN3KfugqbQU2ioBySzODT2MOlW5gqEgKVR9LmP1oMFKiDUl5mCGeaDJCIk1nXZUxBM1GmLiOXs7S7T83egqAo/duZImQMBYA6TvqJW3ZG+EhFCBAn++7ssRzch7tJLpUZcT91RbhBibOd/tlu2KgGFlWtYcuE6BmAYayjn09nyi9XDGH5uj0yyyXu2/U4lWR9Xy0kGRmqWHsLfPVKMS4kURt8IiJyidD+9dHc0xitVhL0ZCz7S4tNYGp/B77mlBf8FSkgJT9EoV8X8YLh297t+RM3/E2PJ61wdqgKEfrUdj6B77sNTcWd4jm5PXhCJduQLwmje+rL6wESiDsYWKPXZUhN3B2R6qAr90Y7iskRbR/gtEXoejSorhh/VyFfR+N3uyI0KRFy3qs+VECIKUokmXOZoUIcaOBp3HevxCpxL0DastiNShNux07YREqPl+GRs+Pydb9ugP291nSrEUY636rI+Zaq86EXnwciXzKjs4dz2M22BF6A49nmpXhEpT5yOeuAl4eMuN/kijqQiQdOt2kbMrEzwwezfBrdah/8jkbaH0KdqmEvdLP2yfPj5QlqKR+9xSSLofWN0dyC7nJqLl4yuaaHeG65xsM467NbcbzpPoRL2tiDH0X7y5Jys+jTzEdUawNRuZkMfCJLXhHTl4yZQIid8t/WW3Fg69Z7IrkZwiauuU3lc6wc7upkOSyOx6UcHH6eWU9yPKP/M3jONEkmxqOU4v4IHNOMd4C4dImlp4veBhQx3lMWOug1FZ4yHJC2n9j+1V7D0f233u9sqNVDTw7qesFn66uyOTYnybAKcoxTRHgZfNlKS3vN8zQzQHTFNOtUKB6uFk61cR3TEognE542j8k6o+5dODsTSpwrgw2/Tqt8cFZQYD4TCys8dRjXkhM32rkb+dP+CayzXOt7tbk927q7MQQB36MzUDTxAVZetqZcoARCPSZOrQY/+Dm89aW6849dUDV87QUnnsMdrWrX2g6qmRzZxyywTq0UwIxyFpIpr8A1cCWli2wmKKYlQCbcQEk4Ap9j3B9o/kKAjrWzi33/HTjXmMeOygOL+ZJrctyKBWUdS8kh2aCwWLvHcmQPnrwJQLCuncFfWQ6rMX0scjNO2Yk4LdPX2iiu29KJwFBmuHprxPrS9KRZOlHvyODHuHGuD3esE+x4CoeD16TUbMeO5Xpnyw0J4MBnb02At26zBPCpKvdprcayonxsEMw+iCHvxtqYmpcJUsnBStqCQm71BJ5fX3fmKCIWIuu4SCih672R7I/KFQotV0vl/YrGjWFpqWukL7u6f9nuz/Z6vijDbyiJtLajGnbUauNdXDFJX6LYWZu/xDX3KfPeY0/4DUQcjb2eCqItmB7EWVq0XAS22YMdPrWGqZCVoqRUoU6hzzbN3DnhwrWkpT9DrwB+otP70PaMwUc7lpTBEC3yHH4k/oI3+umEICNL73aGmu0NQUCLT/C8Vahd1Rya0JRnKpCrsiy34SQl6KXpQtAYdGLSmqdbnWBgUO61Q999GDfiFCgQHUY9+TMfeSoCqqjyZrT+UuJrXsVyqMhCp9NFZSvPGOepeQ0W/mB8w5JDxym1DJ0KO/US9MC/NHq9hjzQ6oE5bW7LFQjI2E/pSi1ZulCiciemub8APYY/6Yh+XTb3XxSZNLb2vRB6uetOGa8eEqpqf2eKqkrIqozHkmNLiRbCZg3KSN6iJ8JtsSJNEs9UdTHibUb1Y/u7wbMofLZu/c7CJsRcDvbnIyIdfd2nxdQXwzT2Ot1tR4QvO9CeQqGZuDWng33mT1wH9j0Q/4zfWmPYMKuBW4fHrwgXwQUwqQlh32YWm2tpHXDP09ehjVDjzksZiMC9FhORUeTW2rjWLh9ej1juoGLoaLRQVUD6aciAUBFblQJyzPGmBmq89nu/lEDoApxgSn0N+ptgRIjECcv8cinLFktcB0rzEqviCLWUMdbaxQOiZoenRpalrt7IipOhMULuRaNXZFDTPHgF5XkmaPNdlFV8zSpOjF1SsjGCumeFbkulvvuIbJbWZMgFO/X51yUDl0oEms7Bj6iaHClzxndhYEKiBr0XLnHYUtqL2sWoAcHpjXCe3r4lxyUU1zJmIablQfTWT10uE1o6KHcrXwmM0a0MvlFUwEyfCYBVEMg15yoR+qDw5xD+h1HY7qhwo7B6VTmkTfKM8QituS80ntcyFbLWEALFoZ9Ut+Ijvd5Jyr3it79Y7zJVwOM2It5LmKVDfWeqd2+p0sbcspQcad2e9lGwO9iOycAVe0jYEsph5MBVi8F13SOL1VqlVcEFVKFIZ8npsumxiinkQkbRMcMTMxhPtNXiDumcY5IaNmbIoiS9UiOiU29e3idRuu5UunNildHcyWmtRtUeWR0+3irBWnWOvCoLiJeu5gmEQtISgrWwz0msXwVFjKXR4NSr2q17TarHerhbT02Oa4+BbY7bZL5WmjJ1NE99GeOX5mS0tMSFq8bHe3WRW+jiKkXpjjgYulFCQBB43ekxH3UIJFqckUu1uv9tsNFWJIeEesT6fV+Xg/QhsiOpz6cip7UXTA4qxoBT2WagMGv5VxFfZ6B154v2qb7OvLcA613CWnumKTWhFe/oHK44NpYS8T6sp7gqlOJumVf/tCSVkMswpxRqklq8SOzmDMYc8U1KxBzFMqyUGt6W/DwrsZgrzUrmhm+k5O9EitouSmXcYgu8zTDz3mKt6xczNtdPE6Cw5zk0sMkKg3+cR1Ci2Ym4IHrAOjymkpOFZbj1Gnbznlz6t1DCnHdNNOWwqVt4gA3HAkrZiyJqtuKNWCBP4wU1FsNwUPZIAH9bYY6dcvvKV8aSKMop1d7vdUOaRH25RcGcEwe7IMogY5qzP9SjZAsinrw3liHCXPs0RnovAnRnCfXkqYWtbzqgEaJ1UXax166Ppy1dmsMChGDB16xTO2XYT6hUbd6oMpF5pI7tgI1WGpVsYD/GDB2qxXvpTeeyZOIh9erNruaslekiMtWX8y1XLetjn0+mj/i6yDdEhLM7FoYm1GMu08yVnpw6WasaN5c6216KXZtHOxpb0JQaHvqFQtIErV2NWetAxMEgNVXwiu+0fBwByY0xPwQKYtiWFs8mzHT5s7qiAyoIuE0eg16QkTIyzok9pRMt6jI55xUdFrtTSKVMRd8rPv3fBt+vVtYkre0L3ZBOTS9tjvt8Vm0CMgij1FvL3eVrTSghP7BUVPg2v5YB6DFPoVvz0sucAsprvapHB3VOovhhMi27DHPpCtTOTlTHqvZHYD2t+6Jqu6le/XVOpvQReWpEn1cbem8hsqsn9d0RSjyjbQ6KmkZPWHvyfHoGAib1UkW2jdFUSzqiZHf5YXl5rhvfQI7bFraq+tqiWYzCw8M2Gamu6z2uue7AydUrnM0Jd9TCGNGXNV1cluqJgKvOwuFPcj203yycVYUbsVP1PtytDbNJkWVpnAB66eL7R59EF99rQX9LdHpsFqszdqs1K6PXx63HzkIuJtmm4KmteomdGo9iglzo6dqh/FK1EtqsB7bntPNvlPGQPk1Gff5rYyYrJX94z9Sg3yxbMk5xYVeEMFLiH3LWqbhx79YgQsj8kOEV3Pp2hudh2iUam46tR3T1siXKZYKqPIffhFOvCOMX1QeSb8pal9eFgdSAdUEkNEU4yduuWzdXrPa7JsP9nmzemwnx7PS+GZCLdjLFnz2LTd+EIBh6iLNrZcsW59dip4cmb67Uc31na3W++/sLlMaFKnVieLwKDfm5Bgc/aX5CM1QtBiiGnWp3bgRgjKsTWztb9f5GArU9FTv6fa/Zpy/6EgooqZfuG8ro8RlB1j2moPZZzoyJS1MYbZOdFtpUyNw+2EnghRVzP6GT7LoouTpc5VwrbOdlP8JPBwfayVQce07BX4Qu75cKZTfZtf2KN/fbtbf+CSwCpmviav1+fGrmIssc3T5QeiDRDmTsNmVkva/FfKR5Fb1Fx/8K+/G2+yq5wI82jqM/pnKubuInpop3wCH82rBY8MpiWIlS9/6helou5wEXoMeuyxlBEZwujhUu+hVEwJITTMQ+93SoWUYsK8aZvVspQ+g5Q1kV4K+mG71LUMaRgVTLxM4DfzuXCixSSvtrolO1kU0WKsWpcZO4y+li4iG6LHXrRfBz0YrlhkjvZoKu4hJmQ1tpahx3L9yqCjtprsKZibB94qoUuO+qPXG6pIp0UqU9D0elxshWEw1FrBtqwdWEOJ+r5THkmDgV3GzY53daBcknLtrY0avtQGOmeRUGG2209k/81UndXS7Ynabm325+wGvicnfxp03tJH9HQ+p3+YB36yyCq9569UC2L0rEeegyLzbsGj6KNoGSk4RSvO+EHfDpvr7IvXVFnf6QVLqfkXs6pKvt58GKl1GW9Ch37aPJIPSq3OZ4X+Sr4o8qcy+e6j82lH1+ojMqE2TY2vEJNPtATRwnvw0puCeKKpesnv1LtQZK9Rb/VvT+R0ZgyFd2Kx9CtTcqPV9YlCp7ALQtIgjC6qjUKhCSbZBR6GTixhOLfsElb0/mzFwuqxG8Y6E3b2qGC6QKqriiQ8hPJfVmG5AWhyhZ1Hg8MbeKo9CgWdQKYgjBT4uKYsjWaMGsQR+lWpaU0FCRaiwirs3ZYqB8aIKVtncqPL6rIwJSKsP4Bf/zZVugP6hqYj+Pc/+1cPQhrd8g8dh09YU4XNpj/09hcGiwe5RFP6jxD58/lxs/20/fid6ft+2omroy35ZScnX8hfmLoOeXaQc6l+5i0twXN7LTvs/Rq3dUPVSEZh3lJqVj9Bhk4yhsenbE/ogZ/Ig5g4PKVOrf0cYl4iXA2tBscr9Haz+kTZjiJqnHFBwY8TXzZkSEJOL8xIt39Hxrhzsq4q0n142twdODc/+u6FWs/tf+AGtGMS08L2r5R+t+Yiwc+2T9V+59awOOqjJ0u/Tc116KFUC8/WsNxYb7t1B7SCuv/pNv+QRcg9nX9Th0ux2B5FxUVb1CzggnbY1YEbhRtQZO+qPcFvaLKOlLoWz+3Xfk85syqS+LKmFNUTCa6sEqLGcpPlxYgvIXjhj37he7LJRjBRfTWXkY6E1Jqs0V9NJRchK89FqAMdlksuakmlBon7PZr1WsIwrhnljGp1rmu5kEzMeb32lpJCwiW2ovOMWvkj0+IxiMmUrPfh+m08E+C06C00EOd0brgEWh3q3a6oNHzhTJfhqOmv01LupYekhqzsGZoKZcozJ7r4DGzfkY0yRMK7qISHoyStb+W8M7n1KqeHhUCoF2NYcxXTkH4io01r5iJ63lEp2ZODy+V8nVXoL+Tg8ugCXKUv2KNdy73orcQ3YUxMv/RXStyiRYcCrhfMWlw+j9rrHkaZtWii5OqUyG2rI6N+vx6QxZyX5LUNMLzN1O940UA8eqZ3v/P2j//vn/7ln/5tQrSLP1CqEBwNedUP/PM/nFt+6NFwf+bofFHoX/7nP/7Lv/7j6wdw1pAVU6o68/wTebS3mEAndDuDn0kTKLepdP3K293no/o8LOCLqAYimYLC/9v682pzeLyb9ni49BvyRov5CKT6hg+XNjD5KRQJ1JJnH8DYf3h1TE4pDT2WDfKdTi1GDLA/KglTy++PXLmPQfBLns7p70BQMUVdOH1TLU6wQ69XC/05MXgiCctq3D3VUifD6yDqZA9+JPPsYqyTdfmERJSYGz/7Zi6nF5aimMpef/RC42ykINlks0JtD2SxqRiXVm92QTNBR6yUfFVLfiVjodYGDWXTtfHyoK6oR3PDYoMVQhUX1V735EiFY5+lfmEuwU7kr1jBswvA5Neh6kFUFE2uzYpMsItZLP9B3dvlljg5WKu/d7t/R9nraGZVRbdQV4DhjZJGX9Bbssd+Y1gDg3pyqZpSVCqcQat9F73ijAPbh0ceaH3lv1OuCQzHzjOu+kJ5JkRY5GJorlIz3ET7i4ov9qSqHQMKqBWZP5DdqYVUUZ/vRfvvYoMGGyIm3V6PI50ZiwbxmhV6qc1CQNgshRPqOS+JazoKi9V7teRhwQ8T0ZPW16RgbGyjJRekjFZ2N20VY0lFuddb3bD9c8TiLPpouMbUVRgjosawR29396vNHVWvKjpKccEE9QuU6BD9PJSYy1lqLT0MaM5vTVE0OzxQAfeWyAQtpWcPrgRIdJya5fHWaKoECG3LkmYwqj9FThgTbf3QY7+Q03qij1mfM5USWiIcdbPtUiMB2ggpMZk1f30gkxrlcYCE7z/6ty9kfWjAOFfFIOs7rkK04krO1pZbcYw9XCu1TE7OSn/0/g83uSasj8+2j8qPv+Kz63/KF/RAhoY5/am3jxsyAB+chQbTgb+QxTZJmE2ty7Aayi9LFZ1PYXcfqPzG0EazaDAsVqoAM6IAE8ZmB99wo9JEKZDDnpzbDV3MMDwPVTrqzE+jud+xDfcdYn3993fNLodrQfmA5EyW74Zr7Sutqzfw3dDX6JuCxN4e/J6s6yzC71Xx7PrTI1fWIhRoFSVT+PD2AznKWK7u/NqeDP6RkrQGKYJe/cwxTLyowlfMEAl2du0YFR5aQEga+1p7fFnGyr+eUoqK7Vdkc7WUNMcttRlAV2ff9KszqKX8rTDm0t7ADsv2VfPTbx1uC6NPBbt8Rsz1pHF8pnw5RtaPUFg6+HbDNUnOo0upRIWm+quh9bhDFLfHfienZJpk4YJ7wQ5Xvnqm2SaYKtAdupVXXEP7MrqcYXN04Jfs4KUBlIKOmKnRoxcydixUYVMGdUaUOwiBlOr1+X5jpAZK2bw1+nRPM67+/P8DdjcfzA0KZW5kc3RyZWFtCmVuZG9iago2NSAwIG9iago8PAovTGVuZ3RoIDgyCi9TdWJ0eXBlIC9Gb3JtCi9PQyAxMDYgMCBSCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9QaWVjZUluZm8gPDwKL0FEQkVfQ29tcG91bmRUeXBlIDw8Ci9Qcml2YXRlIC9Gb290ZXIKL0xhc3RNb2RpZmllZCAoRDoyMDA2MDgxMDEzMzQyNS0wMycwMCcpCj4+Cj4+Ci9NYXRyaXggWzEuMCAwLjAgMC4wIDEuMCAwLjAgMC4wXQovUmVzb3VyY2VzIDw8Ci9Gb250IDw8Ci9UVDAgMTA3IDAgUgo+PgovUHJvY1NldCBbL1BERiAvVGV4dF0KPj4KL0JCb3ggWy02LjY3MiAtOS42ODAwNSA2LjY3MiAtMC42OTYwNDVdCi9MYXN0TW9kaWZpZWQgKEQ6MjAwNjA4MTAxMzM0MjUtMDMnMDAnKQovRm9ybVR5cGUgMQo+PgpzdHJlYW0NCkiJMlBI5zVQyFTgdQrh1Q8JMVAwVAhJA4qEJCsAiXIgoRBSrGBoAKKrQEJFChZAygBI6prpmZkbKehaKITk8moYmRlrhmTxuobwAgQYAOPTEYsNCmVuZHN0cmVhbQplbmRvYmoKNjYgMCBvYmoKPDwKL0xlbmd0aCA2NwovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCkiJKuTVd8s1UHDJ5w3kLeQ1VDAAQkMFI0tzPTNjCwMDA1MFE1M9MyDL1NhcITmXV9892EAhvRikyxCiCyDAANPSDjcNCmVuZHN0cmVhbQplbmRvYmoKNjcgMCBvYmoKPDwKL0xlbmd0aCAxMTY3Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9CaXRzUGVyQ29tcG9uZW50IDgKL0NvbG9yU3BhY2UgWy9JbmRleGVkIC9EZXZpY2VSR0IgMjU1IDEwNCAwIFJdCi9XaWR0aCA3NAovSGVpZ2h0IDEwNQo+PgpzdHJlYW0NCkiJ7FcLsuMwCPN9uA/34T7cx9dZSSR9Seo0Tvtmdme27vu0tYNByAL3/h3fMTmyeXRrLdxaGv4lv3zHUlhz99ZgDP+CJj29Jc2a3zZ5fOAtn7A3tsYLHnmTf4izfLSBxZTzmnXDv5NNX/nSXo/CKVw7uEWGeTQLCzgI9/KGpWlclrWZ2VuMZhlxMmueAUcyuAH/wtO9T1v3wBhXECBPMN2yZBaMiMFwCWDkJ1rMU0tPQBMnJgPoWKFTxrCVy607ONFPOkTg+Y3IoM9g/9GnRkQ3OOVudnbso2u1sRcMxQIBHK7JxvOiX4bM19hSksEAGw9aeqc58gnPA6F7PnHjOJm9tjTFzClLXVpBFWJ6Ey+Elr1eyAXyY0KJCzCw1lzuHyLWrlm54wBEXAPTO59GMB3It8WpjqZRxPA2N7NT5+4SJxj2sIXb7ueWxB9GJSyAEx57uLD1KQDCejpGPrbHTD7oBn12OgIv1mUE3UsvOeHccmip3nKpkYipYCC6P7Oh7STAVAnkEIe6+4kWcC8zZi39abbs5eI/3qW4snl8kpnX2WuhWobjRpGATlOqt4hDQhL6RL2E4FHzKJ/2nMS2otBJ4bU6ujTT7BBdnnPgoAVBYsqJ4nkhPlkm2+HtAUV8EQe9nrHEohabzP09VenSgiwt4FHBr7HCsfTWomwSm+7KmnGCawjtOLojSttZ8rCYyXaDn5Xv4dreSs/Gliaiu1aV1avDkycnWH0BNYDVledTfRz5pLJOQaZKILWBU8BOpbqpkyq13asQW7seYztYVa7UTNq/77P29S6K5zxgJp2sXoUnjppDnYlFGE31/cQnYyeB9Iqf9H6jg9fjEnFWmesCfGscuXZ7sE9QGx4tS3KIozAl63/Hy5uD7WSSWkGZYIl2HhglBbS7YcnYfZKPDJMaaGpAq/icNu6jEbofWN0P1n6TTApJwu0Yd+PNHDZyXdGA/+4KruXIl0nJzM3fsz113F0mWfsOc70aKXWdSbQEz3LP27N/yqfjPXPo26N0Kh9RF0zX1UQybmpjiRZbDnKCP+C7mJ9PltZQ9rvyK6m/rmDawRQWzUluxpZU+Z2MZg8XKcns1EvVk061IT66fkaJ1LAkUD5o5Yi4LZ0h5obJ/1k9x4KJUaAlu4k8Nss3Lf04h7Ja9x8gnLu5OUtX0alnrKsUteRD4Uydv+T1MFVp7DN7TTjmh4q+9pegNdR7T8l3Rj4MfChxOjHkPCnu9ilaqzeZmZ/GeDEgE6yIvHfuOBNWDUqa6oFa2rp68Sqwc+qCmBnSpEUj/dVZvDrA81lSWwU1QnQHDO8du0UYe0jl1QhS5NBEtdxZMvVUvMoam+zzW+fIgaevLog5J3RVXV7zR90sZdd77LeSJXQmuJyxzyQHXlvqhZOOgqk75kPgzzuId/WrTN9gZt7SBU6pS0irP/7q0NY9d+HTyFuO8tUZdLNFOiGez+vFp1SLUeVN2I+iWyt1VaR70f3aYNPBC4sxuWoI2G3yFKCWf1pp3hwmMUqrfrfEhQWQvPtbPn3Hd/yDI35ZDv7v8WcAFRbL5Q0KZW5kc3RyZWFtCmVuZG9iago2OCAwIG9iago8PAovTGVuZ3RoIDE3NzYzCi9TdWJ0eXBlIC9Gb3JtCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9NYXRyaXggWzEuMCAwLjAgMC4wIDEuMCAwLjAgMC4wXQovUmVzb3VyY2VzIDExMiAwIFIKL1R5cGUgL1hPYmplY3QKL0JCb3ggWzAgMCA1OTUuMjc2IDg0MS44OV0KL0Zvcm1UeXBlIDEKPj4Kc3RyZWFtDQp42r192XIkuZHgO74iZ2e1wzarxuByHK0naUcy09OOtutRL1lkdhe3WUk2mdVVra9f9yAzMy5HIAIo2ZhsyGoGHHA4/D5+3f199+vuz+93USbvlVJ+p/D/rr9plWQEo/QuOC+Djcrt3n/a/edfvVQ7vXv/0+7m/Xe79/9P/OV9dhntpQVj/XCZm/2HhwN9vht9Lkaf2yiDS86NPtc/zH08hC00aBmMNeOP/+/ytzsNSXofdO/4gr49POxPJZ8H/Cg4Mz72/du3IvttkgH3Pvr08bgvQVjC+wlRjQE/FODLKCPBK5dG3/614OOd0UbqYJQdIexz0bcRN639eNOHYwG6jIkSrEth9PHp5QxZSZsi/i3u7Yv4FYmXFtA7AAlRq47CQVpnldndfqL/KHWKCVfTu087Y/HPbMD/1vvnh92Pu78Pl7LR7IJ1MkbbrYJ/nHBtS38y+FUr6bxKKb2ugq9Qi9dVvleSdon7f/sJIeFSmbNHIxW+UUWgEYVG4y0Ob6xbf7dxfZE0PgILkK7rj5nA50JIIn+SFJD0rI6Bh3SlhqpD4QUQAE8PrI+0PqjT3KGIFzkTZm4ZtO3fMv4qZm75bRlVvlHn8A+90oLFyX8d/mGtP85tNwNnzDM8MtmUwfz9wvoLd6sD8mEbouMhnO4fj2dp0gdikpJJJ3qjBVjvvy0xxHr32PG/uG4hF53SxY99upSNCBIfncELMvZtqZIXP1rqDYOafs/jMBjpXSAWFkyQ2hsFr0QbLzj8cMi9+mUYIloZognBX2HsRjDuiyAIll95mUwiQuAAHH4bQBBr8UTiTxuHC09BiDcQVVjC21TSpCRG67vLEf5xsxLA+Dkq21E6i6O7d1kAYvEEKKoDKBt5EF8zrLYERzrIFAI92yG19rD0Hc9jPT6Vubf19uLF/Ivfzb8tWKT7C58d44NUmrft/s8cymGR8DXg27JuBoS6YOQvOcqHZZx70t6YU7yR/h+KTpFn5NGQQGJP8dc5ED02Pn+tgmfku1nuG5FC8J1ohZ8Mua8YcV+DoA3+FiZLXQT6zEIdqYnBr/xCxSK9T2poGOEDmbKPv5RJ8wypgdROh8CDON3PkdoKxcRraaJ1fgaEyGhQayA4ifcfQbCH+L1S6QlOgorTm4Arn61UeyJehIfcXX+YY7MrsITPCtzoGkQfwLxKsIJeUS/H/1nPn+GVlvgtojHrtbfDixzL+dUbM6jEO48r8xs7vNQ9JGOQyi3omHlIde/IIDOM2swe4u0dfdxXviTjkLkBsjj+JZ0+3te9JQOoUmtSWTgQx5/r3hKqBFKjsW751/q17i2ZkOgtoR15gSBmKX07yZK1npLNoKmSYs/SBSEoL1ELnrnr588HeYEiZkU0Jw53OXEoZm0thZqmsqvcKrtfxdTS8sngedB0WOlbEVPdtZQgvJWO/pCAd/t4dWj1teTTc17Tz4ASA+NOo8T23qQrqLFC/vlllg9EFJM6phjF65fqDUMjZCMLdokuZIrsqRooir1PASFaskmZbYubp7zCWQoJb18pvGMrRpBKrS4o5mW4PiQ7uPZ19lc5/nBpIle0w1j8Hd61QSCZfNFZL9hDfX3XBn/aoLkByUQef780Qh/aIChBkWMxRCEWjcw5tpJzKwneyFzv1BvtutzYLL6Ki9E5AuUZm3P7VaDtGZzb8Uf6w3eiCR0jq0z44wR7pUcqR15E+RayJ2qDOpS7Onr+iv7aCHMJf85S3R/aII40c61D7kBNEGe0kyHCjpcI381h7qrnVD/+qysCtyQjpLErYqyeWE1hIlStBOeKmFtoZk+Xhd48yiX8ZudRWcCT43lHiPpbSZhNo44P2mk/XOfm9vFYEpb0FOFLYbSLm9Ph66kkkhtRnQ2GhPLwEDNCJfsGEG/WKiNYXLwrWsajiPOht5su6oa69cvp8bkk4GlAJoDZ84iR8yG3jEW2m/R0masE7Pb0UrIWRPKc2/H9dgscDuenVEZpARUbiNNLOpRkDABeEj2Y8TLXS3osIljvUD1QFobr3DD0JobfBoqIhTj69uOCsyOAdJGcHcPPrtZv1l0UpUX0mQFMMeeVXyJOb+JomYFP4VP2EAa1Uqs1cbXBIUqyD4j3J61JExh8e3coST/o/C0qjC7+4iTLPyhPtrXpAe6e5O9FrwhRA2mKsZ4aXrQM3p9zs4h/uz9Z8IqMA6mi5nfzRgZi6TmT+WrJNuN2M6LliU8HWZQPo+9vilgJaYNKhTh6BrdF33qU6p35MKS+hw53vPfG4s9GhdFnDwWP3QSPko18nMNvDyUs+OJyEd7jFlAZ8K8fF71VMKhjUs5M/+Oe1Zz9lsjN+LAbAb497Y+3v5cwSGQ4qkuXGa5wcQ/NKE1ivYKyYwLx3VLO63mPRcY9NA3ECw+d0rjaPTQTPF3hHgokpvCd4lPT+OPEeK9wD+1G7iEXvPd0zllQ+SycHKTRo6estegAUcVCYv1QCTzFa14/jP9iP1RASa8ifxUfGvmhtPRBI4mPb+Kb+KGQBZMHl72Kln4obYzN4K+lHwoUeJ6S2/mhtIxGm8jjr5kfyssYJ/e0ZIj2vFAz3Otf54Ua7vqbeqGGoL6dF4o9Unsv1LYjrfZCZU7U1gvFnae1F2rjgdZ7ofgD5fJUxNo3yeepCG8S+T5Qu8oqJ8t5KpeFxJrAXCEbcAZFGxlBnHNoV+YcOq8jMs6hHesc6u/i4hxachhcnUPDQ0w5vShxDu1YXPScQ6LAOTQ8DO8cEqxziDsPa5mIWecQd56cc0gwzqHpoQ4lxn3POYT7MjpOD3UoIjS8JE8ZaKNlZpxDS/lF2oOD63ZExjm0mziHnIlheJSJc0jMOIdMZ1EPPitxDgmy1d5iXRz6Sp1D8MrfOPSdPhYVuBjtpYt+utK6+0StU0Zn+ucSTI5UfpmE6CH2M0Dt4aHE4YKmZgzOjj+euPrE2NvjbPTj27zmNWV9PEHig/Aj5N0cXnK2925OkMyUHvCC5JqY4U2UHn8MOdtblNjeO6+RNDtwOfEmCmzvxfxTjyfzaH6hIYzavcWz2DHRfdxnnZuUaQFgHW77vIIYuLX6G8MHS16RZK9/XGjUcho6mqiLif4R17PD7fUPOJtREa1MTr9eLLtTscb8Xt6piJTEFDpHPXcbWQ/IFQQrTJOTzqXOCB6CYO1tsRbfiZxgdgbETChm242iCJb4wlOGat+thDCpGPCSsmMifxOHPIiCmgGglF/PQ7gY7mIjmgzqkKnz/HK0/0vVRQhtqKbTTgm2rCohXFmdWGUUlCngwy3N2eFZvehiZA+RN2ORlljQ082MKwhKzOPxOv7iTyrazJvtyyLmDyXGwdmwnd9Jzw7M6vSd1bq0lYLgWGeSLm5l1iCdEbMbDVJAzh1tSFCYrcAapJeFxMZgwIp0/av9gEeMiRL3R2/3fWW6vku4rqeACgfhasKJ7ZUNIaCZOTiIWFl3sMTmyB52IYeqj/va3HiSaUhAIwgwNC17MMSGjGxDkVCIc1DeuNH9sTI53qI9FFBnZs/xVJkZ7xRl+BvLY+rw/NPjLJDyTChAW8zFpDkg4ub50/54W4mrqCVpj5pH1qGyJOf1jaOaj0zMhinZnmpfOD29Ls7BQfi9siAH0JxTiiyGM4SxOftU+bghEMVCBkuHyiICDxSUDjyAx58qy8eQBaLdYOwMCNGi1KJTHQwAoMrNHaK2Zp6Ku7o6429GrTFSkYjLUOvh+fsOUVk2rZyJozVujneVJf2UfImS3zp+c79V1uPohMcHSkPinlJtPY7Bx+q1ziD47vO+oIBOLJRfJd/lqbJ00hOVW5HV5aslF3hkPdeWApqAhhh4yKBr/32T+iXUKxOyID+DqvGVi7X8GdVSF3yaASHO7uOX2tJVK0GjJSvYY9TW25GBhUZBDDymnmpbdiTU2SEkHsKXBXc3si+vTLTDFUoKg/NRGjS6ojLAb+xjpdqJ1G0D6MDTyCjssfE9oVmkA5pqYzjQSpKTI9cplyKPKzknya8e5zlLsczAE2OPMy3lbHxzXq/J9hJjjzOQYzZEXLSu0dKaYkBNPT9oLXwTZMWL1X5nl5y1l++vyZRjUzJ4sg8vkPzbMUsyqURtWghBVIbym3rbHPSYYbzPXlmqg2C3LNYmfxXzQiQrxBYVITJbzmfhladIJIer0ydDQANPdJMciRQkYpC7gbtW+VEKTV+v0RhiAB1aZZehqpioSQED5+u7RqklxqE6hxKHw9wvrRLLUDSS/GGoIF9yKOaY1yo/3oYbuPjOBnseuJjbXMHZCz28gvZZUW9uau44rZKiLn5s9jht0NY5usW205Qj7c0Tzpzlr60SyV5d5fxhmqDszZcu1hymp9bMv8EtTYjAUdQKxr50sd6XPrPQTBOiTb50NhcHPCrp4Nf70hcNubMvnYUwTIfqt49Y40iKqKqPDyKa+tIRggk5VDXwpVPPOpjC4Lzpm3BFKTLagzE8riq96cI4LSk9A/iDfKhEFTVqRbJKPIRDZUsepFyvQpi7jDfr7+H+8FOlK71LeDTKCJaqTpVxh0BFlNFl6Pb3Sg8g2inGk6rPQniqdGpFJCe0xHtMRGxydZcwQkB5kmDR172hG1uQARLJXQ7Egh/FK+RADln/YIES/3W+OhZQG7CB39bp7F2uCIdEQ/YkmCuU8Q2ePdG8PoHWg4I0wt/Nb/f5ekBlEGvk+Rh8xfhzxRo2iszaG+JA84gTk9DnFtIH1DyNClaw1/N8qO3ZhYzOosrFQniobdlFnjofeQD7031tzy4jU+eIZunr8fh9Mx7hAlk3qA6Ou3YtlYWTumi0QuOvv0R1KLBzNGd39uW+knshgoNxKvIgTh8rg4GR+jACecYmIBr1kqQ614jSRLCHwBdb+ZooJOJ8shlEMQ7jFQ1PkIy6hmQjGDCtU98ec4NX+507hVywrOatGLG+PLhbSqcw70tcVR68A0t+CT91GIu15cHllbRKRt+Vb4L1MoZJh+VsEwaBhk2K0Qw/v7ZgqNtbtLS3oAK3t7t8i2yxom1bMtD5ZvuASl2m5e55Kmt47Q/HnChfVapXeE1BRuNIqjGoe9cGdeQ1pRaRlgP0SxvMaQqzQxLcBS00UJt7Was8KRv8WFeB3N9zceGqWO3NHAJqXxOJipIDqiblDtTKAxhonAfwB2pVhxuV9CF3Q63qcCO5mfQYc+V+wFrq7fkBqcEi9T2sbUY+t9CmZuTaoAGh7FLv0d5zQtPGaZjWr//t+NPjc15edRkJ3hG76q8yL7GWdjhTOBe8hcjv8HSf311Ec0o7CtoMdvd4bLE96hjaNVwabW/amjgLZsmcUo4mYU3BTPOhxDpyGIEJqGQ62wMj1jQpLgMjXvPHIAB/mk+FYPKzoQyaSMpnwOx7yo7YjjanpDGBopwc2j60QBs1h0L1OvHn+b0F2oCqMn3M0Nrh2AJrnnidiY7H2qkF1rynjnLGLz2dnL82gQNULwf8o8nm0MRG7pH0N75SZIHKThg0FyoRG2/02oEcNFWxu+mNLvhKHGXk97+/ejtFFaa7JgUBPJEBt7fbbRJhVHlP/QysQaEzPMTQGdBCJpCiFYMzOUANZIKOASVcwMVHiIN8bsXKl0ANGILX47tf4304607rGmTMeh9wKad9sqK2OdkOFW7q5/C2VE1zsvNPrwfMpau5buYDuQ9UJzGm5Zqf8hOeLpCW55KZoI27Ahpnxh3y7Sapg31Umvhff6s3Hw7PRRbu4g4TKjSoB4BgUfF/inwDU0Bi2kYLb5l8Axykn4qcA4tH0jRvyVEh6whSr/P5zcZDTUBZiSyTTCzuUId3jfBnui7/FKHmQD02wh+JQB+y+FtyfJwfdbOeXcu7vtQKj3a9umfX8lVcXR9DUGt9BcuHOqdysUcq8xUsA7r07Fp3pJ50mb/yLd4CFxRqOXbskJ7NGuo+4LwFcwtxWUOzC6lSBPYCYS4hz+50yXWjy84gCkaXsSAWRpcV0Nt5dNkURFG4qQDCeXQZe4jfV0IQ06ic7To7jSCUVg4s6g9d/VzXloY9Qz50u4yliO8+WNuDsMrPUECvkfJ0gwP+DPtKck0ezWTqD8NC+JTvsUwag7Vx+P1ZY8ruSyz0ZlIAOvNSP2RrZBZvj1p1O0PuG/YVHZ7rnhG1L1NopXr+GS3k5iy+I+PwHUWfe0ePde+IGj2puZc67Sm38R0ZMKh0em35d7Q/1j0k40EaEh/8IR6ff16o/Vsk2p54QZNABzuFclzIlAKNpkSKYbjCzT8rN4ZCKYRogd/YvieVxDaZ4cmHDH4AQ8y3tdvKDpX0jsaksMc41Ipv5LiQogo8iGrxnYDabgc/A6KR+E7UZA20YM9QKb0pdd1q/EMeS4/PlWzHdA0arM+Q7LGS71hkkkrHeAUhtpFTxtn9Wjrti8lpNcUaqgdGWyAHoo5guzkMFpLjCfb3SkHpu46cMfAU+/Pz4+enSp3zyp4D2obaTJ1zXxaCcIgJY6yC4QrjBLL1O0N9OyVwmZ3tK7Xh0GHYeB7Cy/5TUTV0GB3+UCmbiB16HzJnf6nT9IgdOuXTHISzplfJcQ1azBqCdoI9RLWmhwzRg7cZPN3WslwnXbIhQyMf98/721O2e1QBO+kYVg/KupT4ZaYLDi0/CuCw53iuZbq+K7D3oYxotzBdZAlKQww80dbSrA/k6zWJp9mFkGLoiB5GN3lz+7IQ42A9PsMmsLzH5xrjoKV0ODu0+ouNm8C+/TPfK7RYC1UJQe4sNcmOfuyAe5/v71jMFTUgv6bJXwyc/YeH2aD/6vN0fjjlg7NnUOOui+aH8jNl03TQuFFOG8ud6a/5/p7FBwJPCY4smM/HjDt2DeKopEc7iIIBdDuv2xVAmhmhYBM1EmIgzVtWG1BH02EU9XjgyO6hDe6MQk0KaSFwuPvrQxvUGYqnol2qWWpogzmjowxgnOPgHBpRXdcnHNmu5zB3aoQ4a6V1SbGkMOvbpInj4Gg0FrJ3GdIbnDFnpozdmFBCZzgzLmUAUkJBgEaBtWoQtagbjbWIZZpzD4YKFWwMuOxl8sC1/2uWQtcEdymj1eJJBQOqdDTW4pUmFPioQKJOwUI6HBuFJxUKFeNB8/g7zUcnUTUAg3c4d+nfOjppkdCt4e/hvw7/sNYfywOU+fJFyuF4PSoD737O8NlwLk/VEjbaK6SxjD/dz4sQEy3KbOq/xN6HKAwdvrGGjvqsTFa/Vdj0Vb51rCGidoSaJ+qA0z7Aa8tiUnnpie48hArPEbx8XXUU478/ZrMkUnn1CdrGANSqhYEl8vkEqTwPXVG4jLo0jyCVjoVLKwpQkBwVpX6wCPzaBn2kqivK/Ngxh+KTJC5saIbAvvVgszMbGu65x4Ya1VI40pMnuOnlLfyvVlUosauoSzvmSIKpcrgyn9pbeOMY3u+sQ9Ee49Ioq4vxOTPn/JU24uxSXGu52aXeEGj1etrw+P/dRWRA0cuxK4rE3Gv6IiJiCGmhdekF0orOTpEK3ywLScxrmhtwh3ahd0j1gj3TvhH2PPJtp5PjsffUCn30MjTlubPoO9wemiBQUPslo6hXEXusx58KQS2WipiuC19Ypj9RRxWUwOCDMT1IkwYPS7VDaJQREds0IuIuqipa0K6xaPUBGsw87T4e5aprzkSUqCStUxc5WO8XBoWZ4GgOuhtdX/FLFkVccIdWk/RxZgIYqunh82E2434L3wDUfINGvsHBO7XiGwbFnCObm4PUim0gh1ImWRZSO65L6dXINQyPvc8vjdDXNaFLGewd7hqhL1mqw3DAo+/Lx6wtvYLtkmvJvurLQ2Drpf5iBChIHdMUUmmnH3JOBbRX4nCBVu+eZl0kS3U/7P6Oj6dGcoEKyFRSvSsWjbSF8Rw+T2m9UWew/vR8+L4R5Z5ZJyp4eN1TUHevPg58KU0EF02axBORk5yD2GPWZfDEQqGPihAcf8JTxquy5mSoDXlvtb9CEkW1PlerhrcfRFHmc8+lQn3rkpq6VGhm3kqXCsIjt9TMaCWxzaWyWMDtI1XSdi4V66T1l7ksvZmBh+cin8BiJRj184LouoPOwhL5EpfsqYaQQpdErZH0uVM9boQkJk1KlIekI4+/RthL3chUonkO0KdcrUM58qgSySuakjuCtNoftVz9To1YI/WUYA+Vrw8qRx+aNBLQWDM88X1tQ3za6O7R5/C35PqaYQR1jVGWr+IsnYZ7XluyU1DjS1UadnrlF+eXKOxYUlSya2HCA65H+tNGOHM5ZMaxByr15i0fiHx4NFOWu6Vlb948YW3y5hklg49LcwD5pXrevJmltnh6t3jzjJVJzUyj+cuxlTsvSONDIIQxoE6tLEvKFlWJTKN5UGKztTzjzwv4tByPv99b2eXkI+q8oUNIC9VKW9x5RlJfM81j76mVXU5Tgz3aXCz2aKzf86c2ejm52ZyjUWAsuJc2ernRGnl7JCPxDGliuN0uUHt500RDA7YhaP5Yj8c2pEHj2kOaIY0y3WENBilRmpIfeNJYsmzmeWm56tCzbAylWqp+D8V1weIt4zFil+aNJ3KebK+p0H7fKDKGEjQYtLc5SGKY6FcTV+zmLlKSpuOPZX8oBLWYbo5/mJzJgPrv58Pd/e3+dHiZMxh8kgZVjPhKjGiWzlm2ryMUTJ8mJnSUcB9ohEV8Pk6CgWvSKS4f4CLdX3/rEeTSIKLgl9pKUHWJo0FExqIl6N00v4NwUITwMzCR6xCRkPPZHQvsPjNkfsWxKFHAWpP8FdI4meR2v+pQfMKoppwE6xJ/qNPs26A5OkHjlYq1t75bvPXF0ATuOUV+x285RPeUcfOfPx4+7Yt6AyxeC01gsMGB5qntdH8764c1AZVDracvZDXTfn20yXZLaePnmXY39wTfdtYd9fpuicpQBHk/vUGx6gaviY9TTI7b3lLAit5t1yg9Kpi6Az4+PhRljS7eWozUPCxB5GCJm7uXonzORVCJ/LAo1J0YgSp0qKzAIHJ7vI4M/p7etUEfMQgdIxEch75G2KNeti5mUPcdz4cSQ8NiJRdacwNnLjTcb2GXlTU34PAPDQEYgVpwBmy4ARcppwKVef5Qf2hEv6gopW4aCHOo3c2PGUYqJte9dj5ax/009YKmPIiAKrXNya9MR9ZXAqSTnBcSmxZS60lPo0BybmZkQr4pxrKEdZoWRr2PBXHphykKzzAzY5eMcHsFIaZBqy5Ilj/KUpc9tPajNYE/yUI9KuqYNlGWzGCBhcEqy3oX2nHWmKT5fb0sdatNEnR0o32dKveVLHU9ipbf1+f9Qj31InmRepI8+Ax5PR7ryItaj0AXWmbJ63YDYQ3mgoMEfNEZTL1Nkcn1LglBWSOGV3j7+aFyazRewRnvM5f4UgRC5EL3VlEtDgviXbY6c/kGAYWRDmkGgOgFtb+vQ9WFlVLH/mhnHHRrH/qEV6PG7i1KIBbEqZZZg0zaj9eHmSHfYhundtLAHIpEVlVfAYH6mjiNajOHoruXylugEYA+gONvYYnbKqqniHq4QL0YSGTEBcPv66WS2VLxv9VU38AT4Jmli81XSJ26AxqjPQSLIiftGoYbJHmBWTqvpBGatG5tp2dziJJZlXSsR65tK3ux7bulrGNKrlfZ9l273Bghr92usosW6A1t+xC6GehEeSgixpbpfxfVVC/b9VYmZ1G1O8MRKxI/8nDEyH9g6VIsd56XlzZ2XvKSrgMvdgCocAzOGjNPkertBHOefSsPBUgHGji0tfJPKFSDXcTnxF1PI6RpanYPgrubrHNi/hH+C5wTg91+S9fEAFA/8aIN8tFYVIEybbgDNXNLIA9Ojj9Q1ikxuebtTgmK7iRUG6udEpeF/lVOiW5Sn580l/pbrZaLenSiKRAcgPtKLdcZCdbDdH2xTbuY8a0lG00SzP6fKjVJyoFCNTdx+Hl8qXUKUZlJCtF+qxvw1N7BasvdwIe8OU1JU876IQkuDHpe3hT5aRQpdcymTo+VdJHQuvLaxm9FFylJ7xT/MPkMlBUOHRNlNEC62DyQ/W0dbVDADYyZASBKRjvtqEkgWllp8DrGFskGFwW+CO/T6M1dZ4Dv62iDGlShQZJY2rivow2aeJOU53nqsZZnk0gIpJsFRyOel52cM8mq+PjcaIXOYq3cGzmwIg2UZfe21EcW0AChBMnh1krMXLHEBl3HxoYbg8JmfcssJxjyjU4hXJ9TztDdTXST+d5iBYZutxT4BUNXFAWxqdeHVvkwjqjSscfDV52kt09opGRZZ2dy2o+nUmtKLM5IDToCJB7Y/UOmKmtNFBvpLwD15bmAEq2i2GPhRH6O3Jl+bWUkesrr04GDJBbM0d2acHlMzjvBnumXRqZKN/0IxicqNElFyXNp6he62AfD/c4apaIuin0xSof0W9oFr5x8z/HyzKH+0IiCL/HyEailioAzzx5f9+p6gLNpiqcmjdJuzfLrmaYrF9r9uDXWfCY9QC4aX8XdoGv6/671TVOfF2c626gHY1WUZ3HoCf0hGOAh1Jo6aEFqjerHDIQ3teDrqTbQA9IbyhYfgYA8x18T6KGRRLQuj6ZarTYa6VMsueltdnD00gRwhqfX/cJ0xGSlc9R3aLDHm4fKlI2EzEZZ6C27bhjLcoiHQiiailRZ5N4WPlWRG3tiaMBj5gIHYxfFluwDsoepyJx9SpUviRrvuu4G2Jf0S204LOFdeB5L2WDYhLdvcIW+BcNoKeNgmuhaGgybSNtLGj+CT0D1a69/efnN6kQVa7sQKPk9nVvlp8vZg9RSF/m2l2Ehfh0dVbDQyhoeTyGJMaRA3aGd5c/1/PnlVKSwLB8LCSFo7XhY98dGCIxItCEYyyPw6dXJtT9m2zT1YS7IAItMJGp6FMEjLQQ1bez9vsgaWyxfsQafnzI+XCGNme7ipRVX5XTdEpyxlj/W/TryYI9FKUopeBaSuDluPNMYElhkEWCRPLgzPTXCHkTkyZA8j71DI+x5GudknOaxt1RXWI7BrjcwFQo5/lztXpZDU90YnXtZ921ellPk6KBpD+zLetmMwIGd6NBUj5rG/7JnOrUhDIeCyyajMs/q46HNu3I0eU0Fwz+r02rGxCptDm2TZK3xpYxJbD4WCkkXacYWSxXHRlThSZ32uTN9aUQVVPGMdh0L5+P+tE4Ws5BomiJqjWGBKg4riDDnLAeDCmQyubM9ZUqeV5wMLW8Zg0H7m6WLQw3PHckS1D7RSqFh6uzBXhrJkqsqQ8X+Xc70uE3d59tGksTQmKBkAgcLSbGRgkYBw0TuEhbSpUiiVkOjyL5W1l1BjSnjtJnpjlUM76gaW2eO1UpBQ7JDJc0BTxbLPTttQjMpeG2Gi9zsT22YtU3IbrzpKoEZ1Oc9JY6GNRtPCu9gg4+5vpZr+CGlxaKRisond1+3z4f9KVujvIIfOpokqoLL0EdvaqCoOhpquyZ2YuWbk72jOKWH3GO+baVBRU++s5RhhwskhSKQGuLECUmNGbbYKIkosdKFmEH8UxsNBSiYpSNoHu89mccxfUBWbNCMdSOEHO5kI6Z4lWAWkD3ONHd834gpXo3xeUiixhgfC0tHJb4d9rlj3TcSll0zEht5QMc2PMMCteEMvgfpG5Eu+bos6r2JP1MB6dIUDRRfenTfhSnSy4RLueUebagM4m8buQwcNQeiAZg86X5sZBiqJL2JWgv2VI3wR9LVmOA9j79GSrKjyZDJ6Az2To0Ma+Gsl7brRcqe6qfHh0beFuelSUk5HtZDNgsKRSXNvbEjJlVYfLG8P5oGq3XMvJAv+TQt5zv3ehzRyM3x50Y7DK7LS87Q4If9a5Yb792gsY3KxREDvrltRLzUlwLV8MQT70ubpw/UlQLQQOGf/iFvMYDGC7fJDAXEZoYxVkU0YsLGACWSroosoNMUgsnI1FMjPyZQsNElXqTevvzQyCnhyJVuc5xpiQtucUsYkNaE8bxq8epJenxupW0llCXU8oCBh++4kbYFFPpwwfOQDo08E1RCrfpHErPMvV7b8loa8MCfKF9da2l6mlEhDBe4OfzWSNGijFdU23Mob+VOi9QjNgNqyX7s5seRP2mEiyljEttcJmiNRZ2GdC5aaGdjPUZRI2YdHI/0p0YGTKcIWu9t5n5vGz0qR511KQ2Gf1XZCT1rIgTIbw3leG58Vs6BjJAmz+q42k/Nqy4elf1oXOZlDduFiJrggpLOds5+FvOtYjPJUdcYlfhj8X47sU2GBz2LRbFO+CxpQNZS7a/O3NfvjTSgV2UhZaj3qizUCrqrsoCcIOK/TihjddgpnydBLi1LfqAzvG+WJ0HtV6m8mYHUME+CZikEypPgzrRvF8RIr+FwDtJtqyBGooxFrXnsPbZCX6DkDxpUwB6qVZJONzg5eMOjr5UOHqm+zVF4hUPf11Mj9JFaQrU+7Jm+NPIZKYs/axKq3/jpdvqP9hF47J0+3jfStdCwDSGSf4o7VSPD1nVtr3wGfc24unNaqhSDyXD1VooWNZ/3OnOq58+tXInIZ5VT5BlgyaKRI9Yrifp30Pyjenz+hzWQj2cFLW1y0Q1voZHLSDjKEzUuZrjZ7WMr2k2ouiflMoLndHjlaPWhXwqe6a5BMo/9nxr5ZYyiCFtOHenUnz82Ula7yS5q7sbEmazeNfLKXBU7il8oyLGb6pQRlKspkbRjYTVSVy0Qu3HxCkmsZDcrVNVI7Ia0BfZUj43UBaDUTQ8sAsXNcyNtwRtptXOoLnCH+tBKV0WtONG4UBbS4aER+oKT1vmYQd+C5yh41KupQf1ggTkv2jbXUQSSJ6P1xQovWh6U6KuDIKNJLvPuFzyKidp2WR9HuDi20iJpJknmrtpl9FJ/q+BM5KmiWUavQfEYqH8xe6hGmfLOeOlRjLjMq2Ki82IYHFQ+uhFrKzZTxbKi5j11r2A3eWzmVKQR4/hz4iVCM6cidbQJNof7/bFV4BFthQjG8bS7v20VeXTSRJQ+PO0utIghfc1Zk8zwCooj2YuhR5DKGpejpnahR28hJ/FvHz81ij1aSnbLajIL8V5HKWGImNEbvm+khFNUDxAXGbL4vnUWmk/UmhLm6krvGqkKqKpGjZfMwRKN/MVdHjWy2KQFe6rfWymqIAOydJvBX7PgstcIi3r3sPg7bdfAx6oIWbjUToU/VyMDJpL8JscgC+nQyuGeTBf2uUISG1MTlyLLKEIMYpA/UitZpawEjxYtTxL7RmqW1iiAPVj+Sd0+ttKzqG+mBfj26DMO16dOI/yLOjRyFgty1xnKrWFP9aWVCkhdv0lPZSG1KkakkZ6RaizZF7XdWTxJiXMyANmJ35wqUK1VQUPKUEWztEnKu6c8qG/NZh3xPk+9CFlIV9lRq18p6kLrnc+QRaNcfxWlVzZmHtWysxi13CRtpG6Tg1VuXlo5OsnDZFSGnzWKHIJV0moFGQ2rVeSQdOgQgxfVhFuQvmc95LDXSL8CF6TDd88D+tqo4PSidQsfiYPOjZJp5GW3JtDAVI+n4kB1XnbZxstOaYIqIBZnwL252d9/XHAI+ihR27CjHWenAK8KeUPXura3/KSA/rBUIKikD5TvO9zh/tioHlkpqVELsjx5nJYqBClD3vg0POTNbavAraLZrYanqZdWKXJBGlw+8JBuG6kyBvVbE33gyWLfKk3LkiIIkDnUh0aaDDJpD6AjB0nctPLCOi8T2iGOJ9mW6XsUiULlk0fgfqEAhOaroZ43fsGtClSQxzjUgDIP5PdGZNutr5Lnyfbu0Cq7sCsO4I+UmXy3QRhrQBZjVIZ0963qP2iWI3LMDO2u1fcFr2Mg4XmTMpQxLJOqaf4ARORGOZ42vm/k77h6Ecl2MjN9XR/ygS/SwAP19B4scPPYSgmylK4REr+/LwuROWtQJdTRjjZYXJBV4ke0VNLP7nD/tVXAG2h4to0cKHFz3y45M/joo2AP9fipVa0E/iFQ6jML6ofWJT4e35dWetrT9k9fW7mxFWrCSBqCAbW7uX9sJFOpyFk5Z8yOhaUbtb+AJJ0B1YM07dTdricN+ZdRMYHJfU2UhXrSSFomoARrBlSzkkVyMEOyMQj2UIdPrZIGAtrfnrzmLP5aOd7oaTlrDY+/VkmG1IHJqAA8/hYMLIPyIE6I+Oa2VYKhtdQyB/+d3WCxh2CxmroLQk8ZGkx7ojXoLeNfG9kKFth9q2yXEGg6SIj8uZ5adV/RMiq0KThIoksMaUQZKUjntMtcV9cztF1YHhV/G3hoh1YFwXguFbNi4bsfWumDvpsWgbDIN4uKYRrPO/j42EoooA3u0BAPHCzBzInd1tMLUDUxYgRq9QyMgq6hlHbqybbgMHh6bqWvJhktJcWxCPzcKkGTUoQ1BMEear5NjkWd02qnbG+Ll7bPMQWH7+zTDs1nD4rq5a7/zI+uK4jQ+9fxgm9A47nPUSycwrWsE0aFFv/1mcRpJ6URPYmVh+gKj01MF8z1D/HmL757V3SKjK5kpQay7jk0HdZCENN+bIAqWeRv4usSiEVHqJIRDXrPg/gl2ye/QPmigdzp8qLjtEHX/GwWtcJtnCQoS6Ec7hDv6ijWoaGPP1E8lYPwUkewDsVUTNS8b/omRBM0df5hZQERNgLRG9Dy73UUSz6A6DXdBC6K7EqFCYj/qKNY6xW1mJmCmM5J2kixxK6RpMhkPUMQm8gp0+EhUTHc9AxLAnUFjyV3RVe/waLp47xDUK1KgQ8+kqSYwBBFo+oLmCyVnge8gVpM8TSbItpsmjzCHKY+VTJZqn20YDUPYZ8PK2hNWwyjLTIueFXeIJPM1UgTRkqwKzYxHYNr0cjNAQixSoYV2LQ2pJAh9UMt/3caKd0kt8x0tvJ/6j2GMizNXEUr/t9VzyO1smeo1VfAyhgpmZ6F8FL5kiBKTdlaGYL9rlJfoe47KugxvfYk2L9V0mvQMqEIy7ADblTiiqed8A+d95lHcf9Q+bSTR3vaajNGVQVvnjglqKEKFVkVvrvVL5tKJbTJ8uZ3dS+bcsmMMQF4KflL3cPu2sRFNBTF8qvY+rR1QEuUsiSBukw7UizGit3/qHzbqAErm5CcRiDmNJatj5uyyxQ+7yuMsWpXqbEI6gEZui7fo2O00+0cGOqUqh2PqQ+HSt2O2KBLkPQMDFEyb7nIY+udSUGwp5jveLaCagMqqIZmV/EgKok24h9qo6HgtrfSbLTUY0L7DM3WalDJSLxwsDyefqlls/iHMfQPscA/NvDZRHNlpldxpdivtXyWqtaiBsFfdiWfBR2lN3r2EIVKWkkvTh195q5f6giWPO7kZrdjgu2jqdbnAw7ltnPGfjs2S3m7wdAIUBaEGxxjiwn9GvUnXAVP87Kmbp8vHw+VNrSlEZ0qIdlOYJwjO4dKG9qhtEBh4XYsiCcGxrqGCjERM5+HIW7uKkUSdd5MHqmKx9Tt/lSJqtB58qPlUVUpk6hPOz6MKU1N7QuxXXpTc+PQPY4zEMHbF9ukkgoSTMwRVbUmpbXUr+KbQ1WtXY8yA4BKeqcQRAtnYjflzLsQgmDP8EulGkVDqlUk4c1exHeVepTVpNKmzKtY6Gxu8emaMXO4ean1+yjprQ6B39bdYZifulXLC4ZqhZwfv6eZEU1b3xPyBZ8AMtfItNJfgbBkKYU6aB7GQgZ1QvZoY4qji3ysc4eQ/gkxuMTv68tLnTukmw8zvMGxO0RWhg3elAVKwQXKQTkf4ppL91+v1FgpQJym6jfiihyc+8oQCw08dZSkfIEgRhBO94/HHyrxRf0OuoEl0KlA6Tw2rqWjrRsNplIwPJBaR1uXBuC9jgMQTR1tXbckisizh/i1Uu2JyOBjtJm7eFer9tAQcIiah1AZyqb6LHDeZK6h0qqxyP18TGZyhtUhWpELRjkdrM2A+I9anYfyFryZo6Y3neelgdJD4t6KEYh2cUGK+YNCIDw9MclcakUhlZc6RJ04GKI6gkptzw0SLXxDTNHYG6uM3849Sibf+OjsMvfYqn/RiCwPscdjxcrY1ZL65VGqQpxiaTX7yBSwBRmVNiHztiu9bF32q0km8G/74+NDJcmmLpHNaMHe9upXMVEzSTXw02OseBVLjjZlJGVyx28mjwAN5EShypE8apanApqmWjvIHKHSwALdjdzKP4paJ1vnK7Qx2Bkg59j6DdSG19+0c/MatbTBTecB/e1YqUQZCiUCGkcsiNPHpYKzJNHGQqk2WGIDcxtW6jmKBaNU5ne2/3pfqeBR8J9y/HkY853cVmraEc39PoSRou3+8V1t+hfyt6Bj8rlrPDRQ8xJVuLMwDl/rXVsOyCyZghBrEoWz+UkoMKPmn9Sh3rWVrDWZq7itDWsnqYwOucuudh4hg6NpC+4Ko7Bf0gr1BdA299ZY/hzzRatr1JcoAySVYSL/uLnd16atkBtM+RD5R/6wMNOYlHbKQB2y0OpbpC69nnrLs7d4+PpUL9GD0i4jQQ63p0qZjm/KBWqexMuC4+3vtTLdSt31o2WZT61Ap3aZweDT5bnPfWW0Fwz1KHQZJl2ZMHdRSpBq8V+1nXlS1obPh9kWM2tijMgdNPlXL3CKWnOtceYZaRNp7KOTXCvGvlamTHfxXp/D1R8rq1LQjNUBphCuxtOHw0NtDNNRphaar1MYbaiWPJ6O/GwsgMW8nSWqDV4CajCQAVGp6EXSLEKfmkStV2QyLttRvymT+EPcVaYlUwmSCdF7HsQvlTqeomG8Bo3YEQTyKIiyvL/dcgkSdS4JPMF+rU1epMl/dso6GsYvjaHOrCrDO54PT8+vEwEqou5oZuGVuMiT7eFYq+eBtBDA8Sc51UZVPYIIBjLIOn0c5FlsSWCMQP3wZ+XFuTil1k1FKZKKDH7uGB9qvVQ0TzzFDOEuigux3FMTUD/IXHc+8E7pzQo3ORIHRbmb2Ygtai4hmaQzZ6+N2Jog0aAxw7OL9SpFZsAkmcgmx3lOj7VZasgSHPnoCqlwfWIlaNQhQacZCGKbFc67zmhwINjZkU21OWqvsZaIBiwH5MtHhnuu6KWuyEelHAdELPoTCvQ7owGAx9VjrZsxUKKI8RlMnWoVvICKiyITmoNQreC99hUfABCjpquVXjxDif5mcgZolTTdKV/42hyPpYWkKEUSinoUDRYocfaKBY1NRQdl5LFFdmskQK/THAGKc1Ppg6wth0ZjTCmTeUi1/nryy0GOyB9PHw/PlSFkamsbtPY8x/lSiajgZAwmpgzHea4PyKGQQd0zg6zaVgcpUIZd7r3e1cbjAH8evFdRqRBO3HfI1Sw1xuf55kNtRC5ICsjprUyH5i8CeHL/DZhOtUJoKGRrxus2VQht6rKg/FhqtFMIXUQ7sfNiFWJ3oowpGVFwuuFjvDk2SS00rzkEeP/Fg0dXeCuoi3wIRLwcjNMgJrWlnsKZs8icwBAt/JDdDHJAVAUxggCt0q3JSxh1p1hweJLNvMIuSIWK2CTq/r5S/aIqI9VZb2cIkxFulRSL1BRD6kPYFhvM0KuTKXqbwdLXs0unIrkTvLQqgB1AEWtiAIvdRix1G6FQMHeOl8+3te1G0LjS1lkexsf6jk5RaZi7b9FvolHRa4R6LwZHNbzMGS4NC2uckV6qZGIGU8+H2rRC46leLQEHQ9zslzr924DaMRr7wyUmr1asdWBqKiXxkb/FY23CI0pIVIpd5K/x431to4soNdoPmRf1VKms+q53uE08hAXTzyfpqAHE6P6OlaYfKh1a6dn7uxT67Wv7SlC3GxjxqwFHvD1VZjOA0mhhOuv4c9zWNo0hD6Y2HjIv/bdKzxz17wmgXIYnPi/ok1ZLA0aPlrjZf6hMs6AAPViqvWdv8VB5h4Bb13qC3qk9t1URe1OTUpen7bWaKRpayLZDRoxakLXDFW4eKrPtTEQd1HnLb6wyLEBD2bULwfEQPtSWAKGZaILtQRCVuV2TjAGqpbfeL59hq9ZDU4lUF1jkIDx+Pt5VmjQBjQCfnJkBIlbFELKFLdpbjSKTO8e+vslaCAoy9NTpVo/Pf5wbz77Oq4c8jSFcMWW6G/yGQcaYdMog6/m+vqLCQ7DAo+vMoPlyAyWTS2NEbHhUYqxXqBnOA806qhC5Q1rDdMfIi6i6Br+F6WZVn5hkQJFQyHTFtoZaJrlZ2hUt/Ie7Tu0JzgJPu5VRNurCgg+9humK5S4sGlQJ092eaEGeQK0HNCS2BW6z6otFXdrsKpmuWHLzpM4g1C4xTPdw+GOlLKcIsaNx7hdAIqvprpflgOsmGqXJHmVJ00VFAH+OWovBEgNNd2PtLI1V16Tnc3ur9UQhRwNHpUQjCJxfer13JaEKDXGWVESJqvs6GjDQxPIhemt5oupqC73lN1ZbbUYdOiJNRWSvrzaNB820BMaH7QRSUGRARZ5mt3gGsb15tEe7H/gnPlJ1N+WekZaoMw+pNluGem/iS7WQ4SO1BZKJ9C6leYI9Z1xXt8bUrsslZpFV27MNGaaOISM+upzG+iQsB9T5pQ9l6P+uxRXyTlRaqYHNN8OVs2hrgtc8hIWoKRXQxRRHLL6opkYUhHpSx+d8nJm10K81E1sbjFkFZNz1YIjyoCZFWijPUQ83eXM8j+varshR0aCnIv7LypO2OrW+ROrm7pwJhkdxdeiUJgH5TgpyIG6fD/v6QjJtZUA2n3h0faid1YD3YVX/QrgRpptnNdBLihAyFF87qyHRyJU096bEeOb95kxvI7VVGrWSslNs8DEAzV2FzE3UaiWu68iZWf+PlZECQLUnUet+lvH8Vtu0Afm6TZBhn6XOHpHLr3IqhMxFTJw9YlqSGBS13Bwy0Nr5AJThHtNUeMznOohtDglKyor8U1qwO6jtFiQauTw8eqXdQT21NWpXwG/sobabbMRr98HxL7zS7gAaTxu9Nd/shYNF5Afr9W7xDFtz6izQ7EudkUiP9cohUCSCP0OpYSMKEm4USGPComWz3oI3UapgiZ1PQDTKj8CrCBCcEewhtlk2YhpVeR13yiOrdoaQRmMWKKTCQWhRrdXNxwmREt7OYFpXa9F8HLz0lEHVfX0SekThlAExslHEpnTvqJXnSfdU2wSZdDZAM5On3dvH6mxvS6MknP9mdEvlf0F1KbAchEsC5eY+WMgDkQlGnmZPtSoVWotG+wya5kfQrtGojIxGxdxNkONbVtq9F65OyWlW+a5BuOh3sfxLZb6wNdQXwKLh1wcxaJS5/1Rb9k7jkyJa7yyIp4dDZQzbd7EOFE5TGGJuCvgGCBRDQYVNjCBs7746qYoCyjJBTYSF8OfD8V1l/VgK1PrM8jD2dY0a6EG4YJO+Qhi/71uKw3+qncnl8BxGGf4gTOHLit7M1Dk2xcx9jPjIesEESFRezV7HG9n+6VNtcY2mUYzAk+3+n4/H2sFciXr3eKd5VNVKJhrU5GyOcK8uka2mQNeNLiTLk+6ptryGQkFgMyRV2+/OGBrzGXgAbwTF2nQ2kEluRw/rprKLMerCUqHUz2zsnz39qFZcBkvFXmdx2de6f94/3y04i/HdIxcmDPSW6bTQuhY2kJC/x+uqYmNPtmyTZaONcsOd92F8yh894mcJkhie/PBSWyGQUEvyLvL72v9c248OHy/F7zMwGvR8IKmD1oSfASI2pn7PJLB3xTmCPUdtJWQ3pjEow2Pq8fluVnqKNXIHpH4VbfNQxM3LaX+qdWODQtMOEBiPrgX3HqUV6NTHhtjWr3IkS1wXbjP8vv5hjfmxtlKA0qsB+X3gL/OpslSgY90JlS0exOEOD2MrnRlX7u2pSaabMsgFvq1TV5FvrwtcKxIq9kV+LxOD4fdVz7idIysswHDrbasjIchkKVWchVFfHRmUdEmHORiNqiNDoFS2YAR7ikLjPjNJIEoIXjseUftK9yCqy9QILnMVj8eFgIxCZUJHb0bEfl/beUGTv52sN25nx0P9wGZrDQxpXQx9J/u72m6ijqbs+pA5x8+ytssUTTFxxvAw3g/Y+xaFA6Vospq0Gu5B1caBUeXTqNEA/6Bq48ARjdyEb5bH03OtcajQpEDrkIdwLavc3HuBov5WB14MPFe2VhRU0OUc5S7wnKfW3U7pUKjuuJTjPS+1vVMp4hVDhmpr1eTXPgfWO55sn961qc4i0Ym2hbHTqcdfFpuha7QXyIPUX2FDhyYxXzfObuxj7YAm6hAQyFpnITzmBVSXUK3VGHtFgxXy45BIOlt+Y/k0OEv5mZb6cg63VVm2SinayXcUz+1rX+vdoFwJFaMegBjmMS4oyORDQzapR2ev5IzUBEpH3b+TMWf8XJ0DR/N4FGgKInAIrlWQnTWkvELuDn869ezijSlF+Hg1Dcljr/HPh9oAGEhwKce4jvUZRTaqkOEPnyo94xGNTsTS3BnO2QZ3tSFbfA+A2lUQPJdbch5Qmznqxjcg/RbOA29Qvec3Rh6aWs8BYbhzfHBAnt818xxwIG4vbFFUuw1cN2R8yn0+1IZIDWpMaGtdIbQuv6EgLEDQPITRcOP12Ts2UIQGZiCIy/zk6jx46w2NyCMlmTvINYV4cyeYSMhSGWSNBpluaAWDgjLMQhDDOaZZUQuRLPz+EvXFSkYabcHyO6us1KYqKyREpQWL3S8vP9ROGfIyBCAdDB+vV+kMo+Hgu24MkXNGczDqB99R+T8g5wliBKLd4Dtimyp5E3lMnZ5rhx4lGRFbhgfxuZJDe2r1oGMPwmTy3ayLoRuWpFG9PH+Im0RQ+B+RHyeF6qDdfRKGUuWVdr7/zw+7HytiaCpQedUZaBrj46m21kLJoGgW6ggCSzebelmZmHqYS+M5EH+u7ehAfZaQbASLpkN1VoEC6Z2fPcWuMDtCLA+A8sHmQOzzflhD49cTjMjl5p+VflirJKlLgd9XP2lj49TfSLNg6exkwUFKYTze7/G5dkRFkODBugGI4YiK2gkVRlpkkxkIo0jm22NyigJnl6/clLPsljjL2tZkyp0VFwLqe/sUPBNcNxU3BU+iu7d+n6n8e2VrDmNpBoXdza+vlYGQauew0ozzWRxNWvSKjcZ3NA7Gy78xxR8rb8BrqY3TIOZ3v8HpOemNgigmT/rs+k9Pi8r1Ev7xwcbkRvifHWOyvfVaiMoyF/CuNjqIUomq2oShZiqzbPO5NjqoJHT5USyIu/o546iVmQyEC0sbqGSUq+81Xd75Q7uCq22eWR6kDSRFLrsda3c/VbqzaM4tkgvw+KjN9CQ3jtNe8xAe6yeWe2TOaQaCmHOYbRpYHg2N5RpBqBEAY2XHaqnQqHU7FgYrBNakDlGXBkvt9pjrELV8gkoEogku8nxidd6tmLaZiuBc4mlqn++vFfGlOoX6zGCBEs0yK0OQwzu0Wm0prW+IxlItecxxyGPtIEs8g6V+RiOes3rSeYbpBDLuCQQlVZIGPpl0/m+1GYtUH+2IzIcgWGEltuRaQOxY5wREoxlVneuShlywh5jPw3cWrQ9Fmt75Qz8WVmJZBV+dFaKl9eTzfgWqp6PgXk61VQP4M250AoLjw1vUWK+oIZTVMzDECmV8CVudMpjFVmUHW2IVKaGNz0P4sfIFpEij2TXMQLikIjzVhmuoT2wCJ9hTPB3uakutHaU3Z4iqcsAgmChdMikuX/bmSmuDFrdyvasQ2ctmIQDauVHRG6O/uPwmAHmK0SEROVHCOXGXV6atLyBUbR8egxwkJl98E2JbRAvpaWfAStSvp6/7T7e1Q75Qk6OULDSUJjCuEcalOglkDyo4e92nKO0otDTiLGkIjt/b6taIkywQCvWr6HY8CCantzwCESO1wgQexP5rZUEJ8TbQAMMLqJkfPdGCyFVNTdl4MvlUqwV5sh/7VDSxKd7VakEB/xCVXv5BnarLNoj1eHCZB/VS307HRIg8nj7l7QkKwfvkw3CBm8P+WLuz0OXajlfOlN5sGTmRcLUYAgtE3PxU6a7uRo265DXwl7ivrOHvpl8FazSPq99rBTnKJUNJFyyE21pBrqjY2hme7zzWNtSzXY2Sy1B7g4Z61ruU4TuVKReA8tEFbQPPdr6eWsw1RVVBmG4ulZ/OrP+1NlaPqpMD0neGEJqNzaNsAB88Od84CAspnV1vUhXjcIESt6NYmlBgDCR+XwultDTJK+BDdKONVZbSUvsa27XNZDdWX0obOpMm2AEMMekHWFsWilCUyxFXbWZVAsSVdjyAl8p5Q8pIhSZHmIEgWuhgXdgQUGIEwZ7h0sYyowJRLzCUoddtikJSXBqGgJqVS/zeFsdAJdRhgezzwcYqBcg5ITt5YQx+EszUnK2PBEWqhjTIdzgQtZGgZKnniA48hPlIUBcyOX9FluSa4LbY2vbD286d97ZVPU4meKnt66OtpLKxPoBN8Q2RdZfSAAYWxMittjED3Ejts6h6V9vmmlwTFOYeHWStp0XkAijIT4ixchBGFtWGPtdKRqBg9xSEKI53L6aZI/sJjgLGLFV916SMCBdGeYrijilYqZi1mVCRDZZdv1YVMJTDY5H1DNaHyy38Wu+KQvmprGD2/662WgrVcBPQOmXW3x9r2TSgkuHiDIYmOvi2G/D2bRDv+ASiSZO/V3eYprxMBkWnyiugKtaExhZ7BQtldFSj6hNK2t73m9qjilHzROSRkdvUS63wRqSi7gnc+teKfrG91RaiNfTpQvD1/BubaYOjIZ2NCGM+E5xeDhocaNis1tEKxsx51GwcB+Cu8mk6hcxFGztZX+SCn2QZos2rzp/ZfP6haBH87JLJnRMMIl5q37jHP8S/Giy/RjcTyxapNWNEM5qZ2O5QR0uOucranBOFtpIP/A38WJnYoRK+0KRZUl+Ocy4mSxtpkgLLQXiqHg9AzZijUn0yEm3TOhBAFznU1A7l3LZzdVJHZvqyo+nLdII+gHYcjS4hddk1DIC72vYcQQYbzXR9kU/n8CiL7OXcLm90tuFo5DwIQO7nt71OrZCfGgRdVCT5wUF4rp9h4HXyPIBLhE1sT3YzSl1JEq2dBqnhw3cVUEX1pCcMT7EyO3ypiaDSNDO8f5LGCeJA7XyVR8t5CqFRQ06aqWysxTfAHmKfLzo2ILWm5N7BfW5IDBwti48paZPZ12NtxbGTBikl8td3rB0XkGRU6creM+b81uAXxY16jO7ympp5b3oOAxSHyqnpIU4fD7UNK8jvmpCMeCB/PtR6DoBGxCsIAxiiZWm2dzTPzWRQVRtA8JG603vPQ3ioTPdBTcdZg/JyCkEU9b1D3ptSIIndX+Dm8FtlMzdKQFZ2vO7A8VBbQpucjMmnIHhSr58L7VDp5q9voYUPFURriGZEABtaPIixnmjAAfAbq/QLUmIN8sKYOfp1/BmvnSjpnYbRA7vZVw8aiF0C/uLxWcWMhtsmHcZE/1jJF7veKYHi3Vs3hgxDO0WG6mBjtfsKqJZrSC4nFO4rVf9I5m8YbV3U5DBNZkqGboaM4U9R3eeS5jV56mDII+rwtbIPMHVdNdapwLPGyj4MNJYoWusNzxkrTRtSZHRXLZZTMypzIK+qzGslwhiGGM/J2NiJgULkKWjBgKFOjJXtckjVUGBj2rEwLlH4ipxRFLngU+LxtX+oFblWAk2T5nF1HU1U4wcJNOqKdD8OzOFY6wnxKJvAWx7E6a3vmKhox62oYti4K5DWuW6uy+dxGUxVj6tBoWa7Hh88puo7lXoJCczcU2/XqTRaFSJPuQtJMElL0IiM4V1SBmxtN0pFlTIAjt/a6qz4SQGIpkFDKUMm97WJozTNz5Kmy0GoHbBB9aPUzLYPQGQ6N22YtWdk9CZCjks/VCoYgDCcTpGH8f0Vwt//P1jeHwUNCmVuZHN0cmVhbQplbmRvYmoKNjkgMCBvYmoKPDwKL0xlbmd0aCA4MgovU3VidHlwZSAvRm9ybQovT0MgMTA2IDAgUgovRmlsdGVyIC9GbGF0ZURlY29kZQovUGllY2VJbmZvIDw8Ci9BREJFX0NvbXBvdW5kVHlwZSA8PAovUHJpdmF0ZSAvRm9vdGVyCi9MYXN0TW9kaWZpZWQgKEQ6MjAwNjA4MTAxMzM0MjUtMDMnMDAnKQo+Pgo+PgovTWF0cml4IFsxLjAgMC4wIDAuMCAxLjAgMC4wIDAuMF0KL1Jlc291cmNlcyA8PAovRm9udCA8PAovVFQwIDEwNyAwIFIKPj4KL1Byb2NTZXQgWy9QREYgL1RleHRdCj4+Ci9CQm94IFstNi42NzIgLTkuNjgwMDUgNi42NzIgLTAuNjk2MDQ1XQovTGFzdE1vZGlmaWVkIChEOjIwMDYwODEwMTMzNDI1LTAzJzAwJykKL0Zvcm1UeXBlIDEKPj4Kc3RyZWFtDQpIiTJQSOc1UMhU4HUK4dUPCTFQMFQISQOKhCQrAIlyIKEQUqxgaACiq0BCRQoWQMoASOqa6ZmZGynoWiiE5PJqGJmZaIZk8bqG8AIEGADj2xGMDQplbmRzdHJlYW0KZW5kb2JqCjcwIDAgb2JqCjw8Ci9MZW5ndGggNjcKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQpIiSrk1XfLNVBwyecN5C3kNVQwAEJDBSNLcz0zYwsDAwNTBRNTPTMgy9TYXCE5l1ffPdhAIb0YpMsQogsgwADT0g43DQplbmRzdHJlYW0KZW5kb2JqCjcxIDAgb2JqCjw8Ci9MZW5ndGggMTM1NgovRmlsdGVyIC9GbGF0ZURlY29kZQovQml0c1BlckNvbXBvbmVudCA4Ci9Db2xvclNwYWNlIFsvSW5kZXhlZCAvRGV2aWNlUkdCIDI1NSAxMDQgMCBSXQovV2lkdGggNzQKL0hlaWdodCAxMDUKPj4Kc3RyZWFtDQpIiexX3bnrMAhjH/ZhH/Zhn6xzkeQ0/2nTvtyH4/P1pE0cG4MQYpr+xt/QiPC6neDmHlaW4ZFmFv1Je/fWr6PCe8/eGHtnYEvsvdoVRsAO8/S+f2lOVfaz7C/9Dq7j9nZSP/vsQG1M7xpheT6/bdHzdlfAb+UnMzPgUJm32LSb0+dPSzigkvZeHfJigc2wMe/N3MCO3r4vN5vixPD2emBCXjhgsyetnqa9u+fnZjhSvrO/N2TwA86EazervbdjP+rlyO3OHy6UQGYhMn7yrKPeHiRc+1/HuTOsZzZEGzP72YUENDkUh8zlaDgosg0ON9/Zd2WpLU8+AcXl4N7Wmd8WBZD8y2IYdfiC0fFsvxDlDiJyO3r0NfC4JxIJbVgcDzijDU8uCSFTby5M8LWnLpGH7O/oN2CBVlgtpkLq5CPm7Jf6pP1+swjO379xwa3IdR4AXdjQiCVMbFeBf/rTd5d5rwgsOVCbqNQGhiejiG0RXbIuMCYgYhSL3eS70yWYPbAQydIytDSI4VmFIVqDkG1HJe1j+nDhdYQBN26BavZTkmj0Fk1gTtMDcVlON7LoySa2Bub3JTaTfiVPg5CWBzr+w+W62MmW34t+BE1LJ4JucfbJqHXOKwuUcs4U+YG4OingwYLsiSBIDXz1se/WWZUTTlokG2mVqr0zsV1bT7NRO4DRgtgwpLZtJ6MIYR5SsJ0ZGy5i8YFqwnqdEdRvNurJIfgxzR7MirZv7TKoFDkgQSm0SkkKd+A8/qFuYllkNRNxEJ8gN5RI+wJd17JiPfo4uWEz3/uJapbiEq6qcedl03q7WJWKrWwrEiFwAoSAE6kDgnwMh3bekVf72kFLApToCnzf2OR4OcHm8hZ9zeBtfV0DYWs+f+RBKNks6RSyZTEsHRCk52op3shEDctBadTl8psruEHCqcWWs8HChEIPpsSi0Ea8UgE8Ml4NQdKrL3CiYwDpLTse6t3j0ecsnwha5Ca7kVNjUeaVc0hiqifkDiMZVtM0HZL+wrAkKm8s9lFcEJoPM/CTcWrf09GxBGAIY59DEWd5l+Qvhh8ixSnuthjHh5xVM8Ntizk4GdVO/4Oeq1DuPMITchYGBJeswfhOJ6NVw68YNyRRZLC0/lqJJSFuxDeBjoTnHfV8Uvo4qbIu2S72Twmf97a+Mh3zk9UBLFqLJt4r09lP0j4dFRt76u+4xaXrlP8ki5ITEGQC3hfj9zHc3+PvmUg6/CWHqNHjktPQTzodWcMlsKQ9jxrmyH81g08rUfSRl8kRLv7apA9tCjFipSwxBhAgfZIbKaPb/DNf9LBZ77KtZaMFlc/Kk/6MCl0thpOhKN9v+qgnTAiVcjabyGUoUKBYyDsP1hOUH7h8cpTtJl+q8pxrLoIMNdVRq28FYIF2ZtVbufNChVot1DzE+GYXZ2VkutCqTnMmjF/g4makJCQnt0UlQObeX0VOUsfJ62krJU0bqlXJxrSPcSpva/ly9jgFkv4I6/BWQem+OBONyKhXxLsL+Q9iQ+2NwKqvY5RvnTZX21lZPq9rRVnRkoKniEGYJPt4ZPukjseYDKzrSeon77NKQVoU0xeysP0Vqir8vw5eczhFMxVaMNtzkJsRhVTqQJhLpVCyOWqjb+WjSBBKDJYMLacmByVZBEaYWrDoQdrCHgDlFFBvvPnm993813cqPfhI3H1NcjVqlBQF0M0uyKSnH/F4qWFl5BChcqkLXBQ7Rcp9tInt05Q0SHvup7mRvZ0ymhb1iFC9NmAJsnEYTegmK5hG0R72cV9JvC86tL/xN/77kV+Kjb9xNv4NANLvW2YNCmVuZHN0cmVhbQplbmRvYmoKNzIgMCBvYmoKPDwKL0xlbmd0aCAxODM2MwovU3VidHlwZSAvRm9ybQovRmlsdGVyIC9GbGF0ZURlY29kZQovTWF0cml4IFsxLjAgMC4wIDAuMCAxLjAgMC4wIDAuMF0KL1Jlc291cmNlcyAxMTMgMCBSCi9UeXBlIC9YT2JqZWN0Ci9CQm94IFswIDAgNTk1LjI3NiA4NDEuODldCi9Gb3JtVHlwZSAxCj4+CnN0cmVhbQ0KeNqtfUtzJEdy5j1+BbQ6CDRrpeL9GNkehmuakU67suGaLryg0UV2L9EABkCTTa3tf1//ooCqDM+qzK9aYzIbQ1PlGREeHv5+/PXq36/+evX9D1d1ajlba/OVlf87/iuFqbRqbbwqpU7ONxuufvh89U9/ipO9clc//HR1fffd1Q//x5z9QJ5C9r768QPXD4C6+pcfFovPvpTtVJwtLSjY357PAc/+VdxkbSjZmRH4Dwys/Fm8tfWqyB5qTdZ12B+vvzObwNVPKcmfZQT+pz85P7lXnP1Dx9nGd8qU5QtOf6YeMP/X41HO4r/Jok5gg/7M8QJ//E7ORXypTXKNJ7503NDHh7tT2DXjh5xzU0u2KQRdfyCu1Tgv9ypX41bOc01csfNxyjZaIY9zp/nMfCZ4odHqZ0gxOMtNhz0PVbB4cRoDOwZ9MU85h2/BgBm+k+zkY1kjsIcn4pW61OR5hZD0YRj05TDVFnweb+F6d1jYTgH8R57y1W/Cqlz/gDyjEiYX67D528/4f06u1VaivPvPV3I3ObbW4uw/X91d/UW43tqmSpqaGxDc7/T5hTlRDVMKa6/t+u8JJuJaFMYb1XeunfWpNIJIvPdTjGHtct8Rd+t9nlIUSlX7+AuBCS9PI1fvirrbj58Y4OgmeSXODwub68fHHUNXXmgyJm/P3oMRrsd8R+jThgzxdx6NhmY2sp1Yptg/CFT88TPz3kObcnDYwwC8wWJinJJQsjcj1H8yNBzlRddanVrxgTmqaAw5xqZh798xRxV0C836qoD/ygiGXKYiFK/QNAo65vCiOARfbDTqO8TLUUwk+piOuzH64QiXKWBtvoMe/+WqiDghXsBmgT3oXCI336jXUqwoTfIEbFrFCKHQiA4o2lCUKw1hajXLHrVC83eMQtOErWYbmv7OEbO7+5cb4kuiFMrfMY8fuv7EaR9yfN+f07iLS8WngwxPy++c1M9W9Bk/2Ri8Qi5HY69sRbbgrUidYlMnsvNie2ArYRIBGuoReBDbZhW2Tj5Z3xTsUWzPJLXQXpKNHX+p5PTVN8pp0xWY3CDjhl1wcjoV0TzsHNickNSMCiPMMrkw7sKsiOqFqM8i6hfHOBKSoYhBdGI5UIaoHrDxF0ZbkPcklOA0LXz89EiQsBcY51rSK5OiWuiw2rZ6ERTfFlUlJ/kKzlLLG68DjzIzHrX5KuJUoXaNXzleBfe2orBM16ASz78zV4nNedgq77L5rGBPvq0EmSeS6vDLv9nbEnUn2a5fD7v4iXoRIstSC/EI29kShbkiCn+xWa/78JlhS2J6tyQPT1/fmTdt1rRvLzaN3sUF6rebhJUvd3Kp+g1MFrzpYR9//Eyp0FbkSYzVjMDreqOoLJP8tGny+09CLItIEGtBNq0vj8FYilNrdfFk7hkGBGLNMBHP3/t3DBMxoqKkJIItXOUmeqxQ4lLV+W8E7l99Jd4Z9Z1NX8nVOV/J4UOG9ZVcvflKvD7NzAq6xFey+M7xNO93d4xxENJUQitt/ND1J8oMqmKA5ZoV7O5XRsuKUBibqLAKmNIUvCg7cMQNV3C5xynJyxJlfsSimWPxe9Jl4rOvdXEUAv9iI6Ug/1KwnHF2pIJqYR++inlGIpo3bTMrYMpJ9KptliOs2dA2Z6twEtFse4UO2uZ4gtPapjmnbQ7AlLZpTmub4y5YbdMctU21k8vM24O2acZ9UI6hg7Y5wkLb3Kbho7Y5Qp/RNs05bfP8RXzH3MOrtpmzoDPUubZ5RWub5k3bVF9hHLCntE0zfId7Wwdtc4SVt2XOaJuzX7Laptl6Wwdtc9zFT5TP6E3bHGEprnTQNkfYB8r1f9A2D8DfaEEetM35Li6wII/a5hlCIi3Ig7Y5YmOubZpNbVMBr2qb5qhtjlD/Sfl437TNAf/nI4sntc1x3XvmpAdtU2F7i4Us5GmZRJjj1pKIdBEPmdU1R1YUsrBit/zOpXEcuYuSC0T0/DscG0nddPfVjLCnjdYmEsjjse9/u8ZGzEWBm7wPvR4wMQpos2F3ulJG0G8wHKubYqjBDTtYe8hmlIxNzJds3biLi0Sz8S6IYAt4xrM9UILZtSn4BMG8hzS0E6hHe6LNaVz1KJTNqqWaJ+EB+tjnrLfzLxPQ8xdFoc8sfct5r+6HJgp7bUsEnvHcG+ewrDAV2CoxHIxHd9gB5bd33VtvhvUvN2ZfczeuMtxqybdqLndPIwWjebzE42f2RstxN7c390xKBc7kAjj97ENiOHIZFdXZBiN4gGWi5bDoW/VZwzKbNmLG25xDCgr4d+YWrWiIojL58QKubx/uKZMbjM9CuA0rU7zMBzDy3DS6vlJmtvDeEMqZddftNEGXtS0YBfvxhvPI1ynJTY0UYjgbPSPW3Kw+8j2lQIrJGGvWlPly84lSIcU4bbVqhN2xuQIx6DcqCKPODOoUmevVyq8EtuWrEy1DJGVZXDRFJVAVXUruG8jEiKI7idoW9F09/ETmBaQeyVQoo2Bl02Jy6Ys+YHtVRonxYz1CXurET1+eXxi54kU1qCVa/aJ/ovwnb7zcWZGUbvVBaw7edakj5D49iTFwSppsLNFHtezj3ajTmwW3LsF1MTjullFeMliXg2RNVaxNV1r+Jpu4eLi3hI+Z4TuUMgtRZYtIvXEPJ23iilwsD2Ng/9sqO/9beZxEdEWfx2+ffyhm4YEOIUFwD8Df4HGSS0yt6E3wDid472LS27gwmyL6KSCdwoy7+J7MZimphKhOsLun0lkanJ4rSPyOkcg2TdnDvyHmtaio9URK6N8x5oXol9W15Xe2XsfC9JTn0RJQMv8O8zoMzNaYk88K9qSpJ6apKEDHH/7NUvRE1YjCYQ5fNnRwMorlH3IIavtPVGhWHlUs+uQPDNYS/I6iVo2glJ8pO9HBy3jWb/AyIWOyVhFg8y1c4mWCyzfkc6THZikA/ZDBIyI4H5PYp2ImLoA3fEweTtbcNLFTPiYv5kNP7x0p7YFMbBByXlAa5WMS+k5LXF/qYXJQeDJkALIX3TGRbNNNbbRBEWxZfufIdp4/fnp85LKXYZDlMH7qyHnmfiIhlT3TfPup+RulN3RXdm5BbnPcxnvKsst5StbPN6ZtYvZJilARVuQUMl6fJBELEbkSxVT05y/mHWMLWLkT22JV+/jfjFrrhMXHZPWF/i8qcUheiK01K1guu9hCOx2o45vShkTAh4aobIplCrm9RWUvC+Xsrcge4Zt/Z38V5pJgTskiXnNI43e4tDwxMXzIkBUD7EnR3OwUm8MLOPz2b5Y81MJrxHzcB5WY18VMGYC/TeDBwnUBiuv8Yi+Qd8KDS80nb/QSiRdF8nd37IgMKi8vCZF3h+wIy6TQG58Q2ltcAptBXxAnTqvXQGXQV4TY8LLV+zqyqIn2ZVonIsjJQ/NhJhJfn9cPlNckN1RVIWYzfOj6aUcwytLAr1MqCvjmiRF9LU4xCSmoM1BOkyaSoiYEu0bY3yhPZBTNT/T9IyytxCD/SMyeGNS6Hz4x/MjVqaYU/PLSxgDX/Bp3TzvKQYp4o/XFnULmVvp4zFNF9H4EPeOZNctYdQwtu2+4RZflnK5YjU3KkeOKn1oNc+C96+uZDFanmrJa+NOqJwcFBKKvVU3u91SeiZiYKcbLsdQTon1wVR/06cszJT+qCOLU0pmVzZbI6N7vEXZiYndC7KgHCJrY00X1AKi4sj4sP3Pku5/WEzg93OglmPEIFOoCMry6qBpR95FJLvPwszRX0zc9K1RaBTF3vF5795VyKnfvqtfygfOuzqULcpOyf6U4JvCJ6sdSsj+CvupcsvRnpiomIeoRW1EfOHHLM3OxVnmZuZSooO5/pgSCm0R19smMwP9EwYoARYB7BP3M+NLkZuSKW1OwN79QLivh2SEB4SfQtOWygo7fvS/fgKwoSrBHesVAG/N3TXFvkTmtaz/zPQxGI+UI3Ye4XVJHub2h8m9F/iQfIc0H6DtNa0abNhYRLkXhVGJIQdGXtVWRGltKG2vRR6WYEWRIkE1XjSeOGQmR1xKjfl0vjKA2vfbW56qx/EI6nLKtWTEiMjZmpxxy0Wd+ZFMwbGe/Z9jYecFXcFzn9cu8ub/d/TMd2gLzjXJpYm8d4D9wbR5ydcjYP0Dr5/kL8xmQabI+DpswvNgV/SoWeJTUKZ4J5Ffk9CJyrmBfCLWjgTsV5N2NsFwIGd5YMUiKGYHJHAXReFJsyY84I0V2b4JQnNhDaudHkb1qWyQ3lVKSxvdpHfGEDo90NY1wSpigJLz5pGE5YVKSWEQwAM5SKyVMkLvcdc2z1PqOLBAutpaijkIKE4FpxdqkoDeESYNnOwavoDinhFijpYotq+iVS5jwvkzZR3VcQ1J770ggSoTe+IzaVxmskFxILWtwKpjrC1ycUa+M1IPpMg5bs+iN9vUD//GRMrXhwWny2P0RnM65EBHecs1erTy/r/MNZ5BYF22rCnj39ZGMWwcnIk1D3+5LzDd1RkF1k8euwO9vfydT8lPKuSiUcYVCsbwuOCx9ZBKGYxIJIgmpFOozF5b/Iy9LNO+qr4Eq2squ005RsM9kQweR7FXTzg3JZ11DB4sR/4/rQhxektpT0DTNUKGtVqaWYlLAjO5m4LVwqVR3Esnn+aEV6S+w6pj3B6Vt2+BPMS7eyM3LJyZsFNPkmygA+sBUORkYYvQ2aaZE8XID97S1IWl8CS//xwsMfqEtoZRc7WtZJam6iMZbo5g25Qi+3/sDY/AHVHTmkhXw7dPu5oWiM7n1lrKvevWPG9Qtdon3OUUzwnGlpFXULVeCWvNTZyDnVTx5/kEf9Cx1mmXBpDCfrOFfqXOTfaQeXNR3xKm2RVTb1GpT9HFDmq0uNTEe1bGpEB7sVu+S13fLSDxRrarsWS/MKUfOoyivNkUcpHLkE9KkwPtm0LQp4GOccqzen3xPm5mZCfldTsGecxaPtiscIi5X/ZQojInpmXz1GmMbLLvEbj7kUxdstmNpqfmm3wMVfZqxPHkZ3r3FAx/ec2mZIhUdLNQB+Fcm4iaSLcSM9/AGa0hj60r03lwbij3Vpr9QdrWgOlWfqoK+IygDiZ0udLIaYBntTxRXuWYxy80I+2GDP1sUFNakkNzDZYbvPSAqk7CQ5v3yM2/qI+UbEIYQQ8pJIWAIz5m1lgGtoZ5qhH75Z6YSLaSeb6Rx/xtnr8C6F6sBrGxcm/OJIPBtQxt3bsgYnVjUObemj/1INR1xk40WnGGAhcFyf0um4uRQY76cZA0YeLB18VQ+kXZ1lYWreuBcyAk6pKDsGxDW/Z2l60Ejwk76LFXHkDKhCtx/y3GRQhBT9Oq4lAPIQzkoyWnSPpQjGU5rTVFkXn3Nl7q5ZXoQZNGYqximWUGvMyXh3nLY4kRpHKDOKPknOHCLaFcwhzac6wD9bx1Y/7Dwx90z85ishXCuGlU7hv1YpOXFUBXsC5kvIYRVikLXb2zdH6rt1LpU20V5vx6WtoIlcxpQr+gCnB2Xntj01Pzm4AYcMc35KBxCgnZGkxfkNGQ3FeeLvqfP60kNGcHAnPV+KadQCUh2dPoJUS6hKrtFKtd4UioJByauWLv6cn+lpIqFj7fqq9093a1zSHlArSxo8YaqBUaZQnRzYjSMMyNPIv4Wz44K2KE3TRadQRMw50yAILFIbVSPh+tUWyafSijqsE+3Xz6vnxcNS7NfPLpniPvdZeJA7CffCsPQzVtD9qagGM1KRFYRaQ8L8w3W7BWzjeCYKGRiEfuk1mS0mooO0bnC8zDAfmSy5rrZEqLGEMPJxRCvMXSP3HBWTol8dT47tfBRUq8X8Hqx86KLF12s6zWZdXFYzuER0MQb3V3G025YLNHBSb445jNbCFB81bCPVDWNWBcxRE1P25pfZ8MicYI65+7DROYml2SLXvdfH8jkMnmsVt/qb2RymahR8BmOB/6V1M+dE2ZuNLbekXEvMSbzeE+GrrhNvXe7ers7qptD/7tpZPew18PTj8Enquy29Z4QmSHRM3EzeVFoGxXeehKKUnW7e7pndJQG5Dk0YRw/8cy5EVJ2aHM8wn65ZRRCC89WzVUBf6QczGEKNUOlG2BvuAENYklWnzTwzw9k+9XUbJ5hfO93vdvkQ0X4vLsisHyCD4kOG4M+7P0Huut4hpd5vKMXttYjdsN5OO0G0y1os1CdRjDV/Fq4X8qdcQ6wW2GxCOFQvCJiLolLEGQTZJlacTVw0HqzvcWF7p6p7C1o2igPHYE/U3E4FF23siB9Uu0tFQ0Zxuv8neLRsKJi0s/1PcMohb+XEp2mQcbWhf8luxY1i/srmW8Wa2lZkcUXTm2uk8u+jnSBiAE53gERFo2tD+v57NC4xVwM6nKX9QgbOENzgYi+PIvPHPrYP1F2R0VFSPH6bVARF5FrwSHJcCS2l8uin6jsLG9jFqhwSxZb1BUPG2AEhlje7Q5i+WwVDKy8GOHXGeAp2YJKlt6Dc4S9fSAd2jUD5AC899uxshyejtxTeMfVb94zNScJ9RDFabQ9fKH6hxa4tBNIbkQ6Zd+CB1sfSlugbcNCtQFaZ9YYe7wjc7VsrUlja/fClA6hpWHwJWsq4dJ3ham52jSVcIkYET39YB8oRG84L0RZtWIYFIUqygcOs7rndCu6uuVQJdZ1drYuKOt+uiwsKO8DObB76D8x+nHD6ArnnYLlOrR0By36Yx2ADYNpuNFaRSOCcVFGM6hVdJGe3jOAPu1uWO6TU4ALbzzu/Tuyo5fPHk9YnXf3vCMbV9iSs16dK3hDS5tuBA2wv1FZGOhcEcvi1JR2jOzsnjo2wJL5xSVNXjTHoDG2+8r5hxtac2E8yrj6DVXr2Z2YBW0jFPTdamEOGJeN6JejyPOBbKKYshfMjcAbgWMoYmJqN/UOLw0cw1oXexOWm/7MIXD8RGlnAbw7aJay47qr+kn0osXzfmEUMzTHFnVIX9lWRoZwFItBkSPUPVndjMaETe+WKlKZ8V7rRROMgyV3zhc0c+AOUDdkO8cs5lwzI+zLC3WzmIspyp9a2pz24y7T3tAjc7Frhm83J/TdMI9zBN5NF3lxAqzfEF4bhv8b6fFu3oq+egTeh22+MPhCh2i0Kndq6UNp4FqFnmgEWQPe3FHxy4rS/fmeGSPfwTHaxMgfoaiBcS5Nsedvqe2+fKJilxnJujEraC6PtMcfHSYLLHBMeZJFNXaLpV/INJPUMGNwJA0yywS1bWlBlI9fnh4ZgY6yH7tE+MPzjnKQVJQ0ivmsoCkF2bWpOh/10pSmKwpqTMLiFcq4LJNeodb0uuvRXjRhQoSiaTzfUbaAPImMLP5LHhIafrRgm2YZXDQRjbRFuW1nCNJsyN1ea6lgf2cCDK/2i+YZVIQgR2QAhKA4B1mVU9HvxdY0rIx8q8sSuQMGPhf/dr+EqvFaub2A3d0y2bZiv7Qooj8q6BuqQgShSXTTKQp6nbRaFgRVNGqaQxkugxsBAQvFdFzxw+7HEPL9vv7KbJfsoQmJxhglxNEjXuRadRqYYtMwNW3TsLL18oXltwE9P8z4ATYZ3Mdsq1r8ZaKq5ESfLaVmBfwfvCO76Suj0iD7WL4o5oiGJp8lrjojUe0Abei0HjhRxFB27syrXOdibmpWbL/lqzz3tBYhP2Rwyss++ba2XLJv4cIR9vkyXpThknGvKKMU8x4n9LYcYa9mBUsbLtneUs8tgHcMGwtwiSDrZoS95RrlFhE4oRlqXd32QkwmF9WyTK5bE5sLbQ2zgqXa4orxlCxs3BGWoY0mf1pBtEbV/XbSgUdP5JLaN1AG+q0Kl3N6xy8bvXv6wK1SvUYw46wyvdNpC7HpRTnlFg5N162X4bgbBkgWNlvgLDqH3q1MN4+076RJ6my5kBq9gZoudJvQ+KJ83Rhg4VJUD+HmkRudgcri5sOwtGhAN0/PpMooBB31c9gKhonGF+SONYE8nVV/VAEehk5lGxT43YavJU++Wn1SKkJa4X2Ny+tl0oFnrBlaSLJbuocZGqjHAhN+gNxrHowcrvCBeg9FcfgClQONLt5N7JAjLB3la3A+iPHS1LoPVPq0Q0bkYs9Pu8c7qvY6Tw255hrdtztyVmBN3X8xQP/Kzgp0vnmFsJunT+Q0tIaaY73v93fr7hoR3/IgYlJwVLa5SO/YZ8UMsBe2hOhzKGrMy8+wDUz66CJnvQjz4QyUhtyQQGsX9/1CKcgRZhgU5AH2444cXC1UuiS0r1u5xuh4K29DHfbhM8mvS7N+ZAnm+p8p2Ipm3k7T9ljatOIdx4z4YvWbPiuXzQlTewFNmdqzLhLCkqbc7OuMr4uapB1AzaqlfXXC0q5eLfxmDpjNFLziUWmuwNcbrGEmXxWFICgoztS2yNCqZgSlnIo2TKlmH9WyVA2Is7LnUCNzQSdahSNTWsPOMmq3NMaIBgaQVOqSyNG4rcTUFH3c3FLaZkShUFYLb+nHaKniRSwvEM3w2oSOV1Wf9Z5tuoPqwvGkXCpd7UOM9Tvg5tcITYp2nRYX/JXshyZKSEqXP30jNp5oa4ItvTClV1e0iMpOYeuWzKiryMBXZDFzIpiNsg6XywKeS0BB6rIwD80qKcU69xhw0LdMdj8taJqfY/oG+vJoeoAeAOdv6rxgqh5JKItd7y5M026Xs9u5YPLyFd++STC9gZpL2N6se+e4di/hMdyQuIgMqxH8frf7QPlURRWpsUBhHeBfKDYWUYvq4CAcgN+TmnJKtiwQR3L7UkpwetO9AQrlh0ZtqM1ZI51CWetvEy9kBKayg5Ec5hbopo3B/Yxdj0Gp6uxU+UmA9yrOkd4Vz/8gkztsckVTGqVlJ+RkLC/smepC3w+cNOyXn8nMuBzz/Hl0Kvt5R7LCkJ0mEmocLJwN8qpCpN6VOddNOEB+ZZFCb8bz047BWSnI0ggtqQ9w3doy8B3abHXeZSCnRgPRrBZe5OSZJRuztli9YSqrrudZoYGnOixVPwwhH7q6PBz2kWxpJA96cVhG3GFKZpD/0Vd8S3W3QAa02OsayWTkELMum4sLhN08kzl1oaYWFMJ4DgZ7PbXOA8ftU4NmMCS4a7ADrCgJnrT2rUPbywF87ip5ZNLEHNKJctMnoG0dGPG+yRvTx7jevbvhpmKk8prQqE4y680XfHjHtqMQWdjGT23W5KITRYshhFMkvNmICOMobNEI+MhzxyC8Ao1qhGt8E3eMCC4OH7iAO6K09gDMc0cr6nFERvu4MOOAbgUdyEssCvb8bFyjW0OkiKl1Cpzic25yPpRsFMIpg+ItjlSHlVGns2PVRN9zpOZrz18spSYnUZNrWX4mjg/fbE8JlpeS9QWef/hmaYHHHoo7RwArbDMhlygkdQs35KTfluEdGUBvqew69Ij0Nlm9ac6Q9QFNb9fujwmh9A5BLa3dHzXZPqD9RquLV/DATv/FJKvx4R8iGmuNe1Nd4m/umzJrzFlMY6ufPVWaV3o7pzXcU93oxUT13uv9XzBQpDP7HLyi3Hs+JUKYvcjLHp8oB//8Wv2n6P012IjVB7gH5pVW16t/ilPAjgnW1anmiAp/tWHW7+uKrHwE3s8lfdgoX5Yn6jLakY+LUhW9Dg3g/QJRZL8hW61tZoT97Xm67GoLhGqydd+DPB/o6n8wu8gZXVAqbmv2HXmYD3d3N0+/U04Ui2m2No5fGCfGUWUyol+iWqXqrXBN5VHg41HgM0K/kN2ma0mlKNithq4IHSKKc4AydMguoBk6ptuNK1Kd6iJy+VNWoETftR7sFAsinTznluniECQoi9NSjfdh0KN1vFr4hhqr2KYAh5WCvX3ZaMgiYjt7kR0K7oGck+t9ivqsz2Qr11bT4qw/fvcHJplsP4E9wEiJ8PG9vabjwL6PD3cElaC5gbwGMTWHD11/eCaEH9LDwF2a3sX8TTP8vAmL8ye+czzNyxPZDcg14TJmPMwXSix4tE9ICqPwRC3myffGQa+/c/OB2aKEJRcWIzlf//Pd1V/M+sBbJ082p9mXV9wkC9MjNzdCXnwPMEJ8Sforx1v4QMXOgkWvjpDNeI7dOzI1JHkMb5wDm+tHqvQJnepqbBAyw9I/MfxSrP1gMX9qhH2g0kOQA5yjhn0iBxW7kovCFjV0HIOnG0b5LO/d8PfeRxzvp7meunnTDcB3ZAs8n9DUdjwLxb+bKIShrlAwNUwbzlHvzpxk3YYxY/hBxNDiPn+hhAJcpZhBfuFRrk5kzeThcg17FFXhn1KLWT0oTkZhEI61bvVWCOtW+Ap4ofrKbHjz3zMyD5NpLdr29ikvhwkr/8AkUHtM2W0tjbBzZDJzHyGphVBzUVuguqw6uEUbNM83WPMNTBrdWtHzfv4dPat3EP1XK94unwsmQ42HEdHPxUQxglOh88RZzMacwubd+Uuh/D1Ofh+SD+ocN5vZ3rJ0MerwlMMsCD3XE2e/iOkGdA6L585Oi7worKrCZzkehBN5US6xlqZgKZGXUL+K7IkRlhN5YRLe4rxC/mfSwAjBKvL/FpkXEaA5j35S4gUEGTQJz/1tZi1TyJV08iSXyTwoH235nUtlXp96FhWL5PDQLaEghqO60b+Ss4Bzias3+h1pUYkhdwYPhheYiN/nBR6eqSZfFqHw//KVoozWlxNHmYnMv2NySUOcsJ0V0tjdv9ys9xhOXjRy5AaM+OAKZROuNtVR5l1TrYmEwaS152G4h45ULZG7a4Kf0GBESU+tOErwn5gLlxsaF4+wv1AFHBibki4lpxP5qsEnqKSYrpfc27CJGTlRQytgn6aukr59x6x5HVYboRdvW76ab8iseB1U+8nS7HwXJ5QPQ5maocTld46neb+7oxr3tF60W8cPcbPXesexDPfTAMv0jO2de0qAYj3Cklan9Vlf5IW6qOth7aZQaC53GRSE7HLQGPyFucbed90tr1ETt9mO/VVfBfosORw1svUkXkyKFaJQh/mJaiGM4e7otzzCUt5I1zBJp6lXTmlkvedD6frQAMtMDEelhRiYS8RpYjLbU0aEENYu4KCLrCcFB7TkhT0wnOWGwb9o03DWh5WzfHeO55qF6LN1+aV6WTQ1NXRmhXo/HIZrWRfE7M7zLRj6MCq6COeMtXH8EimAe5peiVkdIR+WZvrntz65sdr0Cv3DeuaMeR1oJWrLCMcgDm61giHdR9h9RvvD00aQsAWo4tBlx1UZVzyqnsWac17BIr7GeIBRkY8ZPeq8LzdcbKugQY/X4Kw5HBEaVeh6JiNcKdUY1LqzlBuzkXPSkCSmUMYgLKPLcgtJr0zJPSHknH0wat170tvqYvDjpg05nwQNw9E8jaDqE3kxLoWkUU3NaTwMKFHI+kLNeez5LS6DMEZ4cm4hEhKRmDIgbJ5j8Uz2JkJfWoW7uZ35jiwsDAmuaoWKfcd7yphA3W5Q5xlyRpj8eqStiPpq/YnzHKJmsqdn4luvXBa4qcIIYpwfasekn2OmmvPWlvELYxLZtheixTOfOR6KoRmD9mrRoyhpPNAjaeaU1vwMGXzZhCvoP5HV/q8PUfdNW8JO3qHEZoRfr4NEezXEvrOC4qLuCbZtaPsWxEfgG3K6k2uY8DvCcllv8OUJI8x629w4LKRMJZRknyW4G8rthbE+afkZMvOqM7TgMPBT4Z5yfWX4VkJRlHZLstSMybvnkLfeuRktMX3T98akucJWyMWGoGB35JSTUnLRtEYOoLWTvAx1VYMcoAJ0MNf71MvljZv5jW/5p+BXEmmg0PBMtU9qU62wWUfYO2oaLkZ+5sW6Dz9vz7T1rmSvUH9LTU3oTTJjHuWD2WokggSRUht1zEWtIaI60WvY3/laQ0izkgXRBwpl3NG5524MwIYemFCs3E1ti5V/JYiiwK2V0QB+hGWU2YJOQGJ4BAV7t9WlW8xDLxQxoumey7NvQop+PCk3caihMDDVltVuX7iuJ+jwFOwCmEzS9wCXjSvwT6yhIzxXI+wn0tAJNeDJz2E78zIb+tGgH6AwvS4/c/SK31L9MbrvsCCNcjzL9lzGmJEjdDH2BGcYrSV6qr44yk4UBiTm/Hy7F5Tko7px8TYoYhODPqMXmYL9wIRIId1jH4SxvPItDUXV5qOdyNkrJ+VVr04ReaWIly2I7bXAI+gtlfshoi4jAKOwz82IQGulmjU75SbWm30Iya1dABWgRPazRUbP2Qs4z3yWTQ+dc8lcznz2xfeIS46wzxf0MG/d7y9E8Dare71iNIdeyZerAnurNN1Iljl60Qboe64ntzx24RZHWKNu7hdOSJXQmwDNt2DGm+MKKh1CLd3aGL+kbHZivkQMVn1m0D3fk/GzaltWn7ne3TE+swDkytNSwBtmTkgIGOWsl6QafkUhQDH04nid1zuK9SNrLGAW8Op+zTKd01mxcS6nPoPWiPJU65Lub1h54xNKHc4SLyXqMRg11PlnNPE+kgM2srCMoC9u75IwFPMXJTE59QFqyhu6cAWvznB5aVr3inTVYfFseBFofHeThJC+gSOhgWPL1WdFwtyUFHTfTgFdnxRF7Qvotzx9BTVAKKBX0JQdhadX127gF+YGxAhrvdHu2Ru4YMwDbqBPHT1ExY71SP/ylatHCog5oj/K7DvXN1Q7GDuFHH3LwybM9eMd8yzlOaGvbYnjEa49ZbsEwV33ZI/H38CiWQojDJrVW/ieatzoRQ2PJXoFfE+m9ufqEGR6gzUHNzHHy8UKSikpBFz/cWPSBqqKEtpTqetmHHyiLaXkil7yP7nxRg2TrV0ritCoNEexc5NNXu969/PN0weqKhhX1Zq+qJ/J6Wohon/FCPzz7uWFYpV4qQVlUcziJ4ami+6WkyKTJ7YjDCYX6vv66cv9Bz6SAVsFGkuPj6xMGjGLHHPvrVtAM4E9AydM9A6SdgB+ePrApfJaiCcbvBnhKdeETUjxWqx9T7UkRH+W5jTsC9XdEw4VG3qgfYC+pbpbBfRqCskvts0olQijdZH0Bmt447BPhhE9Gu42deobJk6D0TBoLqOhqTmRqK900IYHWG5MZHPQxrKC/Y3kR5ih7BXCbthQRe1NjtWBKX+3y2ha15ICFm5EKpFOrDgN/bR74wlEEk3M1iaOJywYkjyP6l1RaHveGsyJMnW7JLDdBf1XBNteNMd6PDI1BLFHhmtKCvqBy30Jsbr+sF9h+aJW1H+FYuFcHRY+juk2G8NPRORVDU25dVEVbjuNDLBcK3yPRrspGoUulm9HwZlDGcWIso1xA0mEe59zOa662708k8NmRY8KCvqPVBtYMVBdtEibGa9JdKJzrSBPsAPRBkNWOGNLn2truS2I++ULhvwSipFgXMCKppRHqk8e+j+4oPG+kdmFZlAhRrjuBrBP5CRsOXCMasnb36lsEZGvLS72O1Gp53FqIUWNpx8+XjJmRd8Tc8fBoRYbhn8pYjD5ZsPRUmDgg7Bsm0M5wl8dVcgN4RzQFtah2/AIzMQdQ2xTLj4mBUvlOfXJElGks972A8U+A8Y1NGj8I9KY2+qDuWLGZI5xaWacT5Cblj9rULCnY8MaY2IRh1SqxhijMkckQMBCGkEZH2hEwmPwmsB2FGib4D1NJ4lrA1cRXUBsmVP2Hs9Pu+cdE9SIaNTpMW9y/MBrV9UtjHV2ICa0pk+GwGLXPG3WSNvqfRPRXKPVUr7hQcUG2z3axZNgDttzYt3isL89/4F5EXEft5HTYqRqfJ3xd3m5SkjoLYI008OH+HKVkJFSnue7+KZylYDwadj37Bi+o5tkbDFHoYGScZXzz5zukaFfuugNtqTUFOyRox97ZAR4ryOy+Y/IP/TJqJiq5177ZKQ+2nP2n++u/nK12icjCFlYaB9m3AfjDo/oQxTayeu4pH40dmUV0Keuo1cbfk9yMeR8qO1c7+7fUbwodbmsNnFGC9QPM2IeSNEEtVE3HSOavoSkcc9MoI1QvbIwIbUixl1d9AAwKb3Ft2ZIuyeSdmXXyStoZpqqkAumq9eoYBl7SoxeUaJsC0dYwzoQA3oTVeF/al1m0JYwXKQTWQW7XeJllgQaoGvr7xzZzjmbw2ixGXtbuvEsG9Qmpr8XaktmhKKoTazulsWWXdzaNq3hbUQvmu8ISol3eSANeTUj6DvyfdhSgjrsEwUaBaKkoJZlGndGlPKX6PVpGd9MRHWt6FKaRJnJ2yYWh4ZN1TNoXqgyyKfyto7vaqTvv2c+VCu6+4eRMM21s3AOUuVRCdOWi2saCXvgLYd1H7fcnDv/wBhR8MYd5RKDoCDGtwayxNsM6AIWXUgKdvcTZXegf1GNzozAM9fcUSvAZPiQUZL29uNZ96ylVmAu0QqiTZMLyPY5fvvAYcyWGO7DgJKGff6FYpGiHmbkJY/AnD7vaw8JKuBvoGOM5Kg5HO9hv4sL6DgUASzyojyGpqe9ccA0HVAEIfZNT3s7fEcXBa97xiBuQ/N+/MDRtFt9BiggybVVDXt0qs2psQjFmOMv/0YKqpi1rbfS9WoXTyf24CLy44afqm2Yb9WTo3trHzncKKcne3TT8OoWVfsFji5DL1nTtzmny63XmeNUooOHYfgE1UsDBnPwbXmQy9qj7PnrVQHJxEuKScFcgxcqm0Ne3MLhzZ/mrnL31bx10viBcnAH9BpK6LdwgCaSfUNEAhKmq41Qu5t7yhcmVnN2qXgFToWQgW6MiEzqvA8/kRwo9rLQceWtCRmwWQucfwrumfJkWbTTSos1KVsyTDXqo3Kt36MQhiiqLp5Z12y88YxeiyPo027VG2Ri2LfO0kelkuNi72SCPq3jaT9tWJ2oOdKU9HD/vHGjnXO45J2CfKS0U4++LQsq2thpSb0Hor5N6i5r7+S0oKHnjUMiNyuhgeyp173lYUsiIlorlx0SSVAtzh8K3dcnyUMpsqwm2Bumt0YSa7QGlxz3yswIm8QCrU0vzFjxCSNsakZbgYETfqV6cMuek9e894bJvUwY2BjQBEnR790qRaT0Zlip/TJs+yhpShPWYt/0SIbxelihiEEcYPdO+a+3u0cq7JOQIIc5Q+PiSEUhPERo5N/g2xuhqfGJoVRh4BghMAIzrCLUXiaSq174lpwX1FU1V0ryZvzCJzKcUQLi5iMsE0ntru1uu2RUpfdZ4ae73phtgZ2bj2X80Gn/2gnUuxiqAn0gRb08j1rNCEu514RvWiF0p9ZlHibcei7kJd4ubHqD4Flxq/g/uNdWRTlq1iOgx7Os93YTnVroFqndIxTlXvNhCjaU2YWbN2cuYxUU9AwBVzx5b2ZDhaghx6ZgmenKMebJuQDxPMByqgs6+YuxpmjtC+egQ1eoWkYiN5yvK++7Gsc1Yvt7xtNX4Jv0QVPJ0kdgzovvIoq5rfqxnrdizFwE231e03lqny4TUTAuCzCj8PEnSlqJSSfQZvjK9RNVPxmECEvFBNg5tKEYdkDCUMBA03HlF6bHZEh9NHFRsO+ZXOiQhWs5GNIjMBvHFPlko0IXdWA0bbUlRLXuLRX2EZkW4D8g9myW0qGWoI+7+0wFfeKUo7xYBUxlSyI66DxKDA7AhrcGy1SshTg8gejzTkjYnzHrs94+v6O8kFFgoo36RaWxlwzzqdj7SuvN35M80qeYvMIa5a/KGIGWo8baju28EjE5Toh8ed+3TMImLlwsE03hjMadMArEox/QWXZ2e8MNcpIjlGKbeqLvKVgRDbHktjgAY6UEZMjmoGG//iPzSI/cHIPMnH2NCr/s7j9QLnSke3kEcBQ8ZW9YWRvTlQ+whlY9ETazzqtlmdbPAe1ka9VHnpdBPb88Pdz/TDWcFKMW/Yqa2sjz7vMNFbCEKpbQP13h79Mt5fjqJtuJsxyp9w/U+7XIK/DBqF1QDs6IIh8Rx2nYhDk05WLcEgUTU3NUWHhPeSXkARenVj+U455/92KbB432T6Q7wsmLa4psqWJccInaotf0sqO6MYpAsLboTT8z/hfRmJpDb82zRL/79R8ZLebIMATxYge8HeDp95ePnxj3ssHbta7pT4wa9RPVORFJm2INgnEOu+Ec86KgZI/itAMwnx1S6+RRLqQWfvl4c89yDZGYet8P90yBAhSG3gdkBH6mHKsB3hLM7Vb3d0v6j6uPwSmMbfmPReOuFZ7VYckfQ8jMiMiIbq5o66lR/Ymg15gxNsQ5DX3/MxX6ift4astmBP+8mbLZUqhBLXrzgcmgThbNkNG7YYR+z6hCaEzWvNcrU52bXG8NZDVpvFBMESMlfVKEQb3DhJ4IyZes133tf2guCdBhklh9S1X9RGlAcMKhv8oIy2RQB4/hpQGxkQH2hgoL1ikLRD7C0u3nwr7lYMpqXar9XEAKdEI7sRGYcePD/q3BW73wjkzkbaEmMfkHWKpgEIzeFZD1APsbacMKv4Nv+XLiQOej2sICV1QNB0KaOdkcLietHpZMucx3bS5QyfAchajDmTteD0wi4I8pkiMsN+MTCi08VI2jLmW92n0WjSbrp0Nh1HkZgQKMEKNC1zNp+dbmYL0Oy95SzymiGDWVxZM4Vwm7yNCHcIT9NB6ZSY1NKODowbxxZfBNbkBtEbPTpqRe5A8MbOzN8r2+549MbX0CCyqoERqBny+yWBNm7/j6BjvabOsKaEDnz6q/QDExIe88gzSsT6v78ATbctXjspTCiChNdBgQNAK/cFwMo9+QpjACUyYm8v3RMdtrYM4X5wI0RlG/Roy9J0NrHq64ceEdozJ6uaaEtkUj7Ob4XSQQ14xZy+qS7ihGEiYxCVJQh92o7xGZmlrWx/ydSq9C8auQhYJlej30FAu0FtIXe76WauG0K8hcdc0ommQcR6KpRvSIsuPeDVdLlTCjyUZ9SwzDTaKzlSrEoWCpBgBJFK+affMLuqKyL4Tt1ejnR+708Y8X5aCl6uDjXVaBnfd4HVTcEZbpoxh8kJ2ibGSE/W3d5gtIU4quBjOCcfln8ghLgHdmDmyg+zw87TbyV4VRJtHXxmWnywRLtuh3+ZYMfHSR/PCR0ZED2jtbMd+G71zvKL8mmm2lauVNDcBPpIhxvTlhHpY2126iInIZXWes0HZoaNV1cq4koW/L+UPCy1DfmaUy/wMTnQ+9gfHyO8d45VcqOT+ity/E7vwz19RVombK2aS2QHqoRehiToUZYe9ILSNmD/E1wFLTQbt/O6Ql3i7Njig4PCo4z+L/5YlSXcpUE/JzxsN8YS6gitmXBR0K9nTRI4ZTolXr4bd/w6LH+DpBb9zHI1VIVoWDlpPv6rKiRw9hf+Y+DD3vC0VlvWZE4ZSa7wSdLKHzvQL++o7yW9apluKzAv6F9Fu2iIZD56n6OzL3JflkkzlL1e9IT2gW5WlGa7S5iRo115n06ZMYdjLU3jHqljg5cFpDVQkghicWP77je778t/F9McGD6DR5/Irm+pveKZRDFb2X4+0wejHkYLA5x/lHqHtFkka0qGebQ/6Vgmxvyp1C4mGOKvXMwS6F0+jvHB85WTaP3NM+xXR+kA/PVBkPghPlxEkuql0Fuwru/EVuGGLOTlHU7QGccqxGl7BwOdChoWdLw/UlYuS/+BBgfDZRpMoWCa8y2oC+cDFnjoTnEY+Q0ZvDDYC7dyRnkmcT4sXEj+w8ObF++xcOEYb9HAJqME8izpB1vAXN4WDWzg5BuS7Rld97vTwjYIaAE7psxhU2+HeUcZ6mFFdoaGt0sFjnAQ66PNwlldHcMmoEFOXdUVk8rY8YzAzjWEly7JVP54/+VyolqKBmxV8uAVDlUHLLowT4hYIUA9IjC0pt3Bm+gBOBtGhRSnwSh4Z8SU70ZtvJB/2+Sjw5l9VQhYj7eI/6zqKLi9nuB5D6oNjhQ2e6uJhlADkVuzzN9sRclX/ch/DhgZ87zfvdHfPGkStXa03qNNTz6iOEUnNmhKXSR1C0n1yN430YrvFSSX1QXV3FoqH6GAXMFTqLxL0ZYrZL/33KUV3qNVX03TBT2/uy3MMmkzVjNZTwWLf6SJi4OZraFTzZcxj5nWIfabKhu37O3g/XEKEirWW+HfMNFg7SnIqrqShS49yzex127cHCxCFrsMTY0lRCqaAJdo132SvgwuDxkOherlCn59tbZc+/7p44bcr1fP8uzMXuTe5oaV5S0R97vhZ00sNndK+N/07Zvb3P8Pwz+8YAgpm37/xftnakd9RanOpN1/v6T1TRFUa4Bbj31Iewodcv/T8yECnWtECr78xr5euFdd6dSbug2Pqq0XTwsY+wTHJe8KgDTakqWC6NBDGF4A21rAIVUxuZYCPol/fP1ADJbqm3lPSJX75wQUmUJaAf8ghNDRjtJX+1haaBOX9cQJeKlI7AdPPC0DBCEblo48JPN1TSnzCEPvVLIYzqjh49GnMIY9fQH29I91mxriQNTTY32U9tGxH2tHvcjmz65jSybm4pYyygk1PT9LHj2zSGcnX5o4i9B7MYceqwnHYmkrcFt3jHTwwHQdKgmKAhaOj3G5nMFoXrSEK7GFOiAVVZE66e4bTz0pOvpOUTu0tzvoVhWs5GvDCBBQa3JG4qLzpPDUOVNPDu6fMFcb/Sk4ha8m91cWlbfTNj+XVz9TUXafYZdpZtEKUp9vrA4QNUtliPlYUEynuDvSBbDJ5bW/BOh4UfqO61WWAzEstH4N3Tzf0HKuzaEIixqaoP/BvXwhZpX6i1H4Gp/DzR0ETFFaJzCmvPdHJKTHmx8iFGbdZUH2uRpDvCUt49uLdiXKCLLdUIk60umDM3vW6wCWzGbJA5sNnfNMtrEjpLjYuvl9bBHWMdnCoj1DOZ0CxctYVvwlUSkek8cohG6vgxhPKFSpBBvgc80fphvTDR1yNXikLjzb3lXXxccBGVfeBEHUYC0whHpRUHDLvMrpoR9iMVQ0KCbtX7nY9Y/YVkRTG25WeO2vxG4kmKaE8LrXY4A5VamC36ATSNu/dU8/GMrA9olQPsAzUlo4drZNd+tjRdsxoaLHWkGaulJ8puOdAZOnQV+1o++OO57lZm2Ste7j5nBf/49EBlYqL6srikoLlOU6g69TnMlr6gTZVwwuYW297sUoXpDTVXDcdlUroJueRBr0l2so3FVn1WjuvbKHppbhrJVCdbdHXB4NMR9nyGoRn7qmBQhD7wZ8rtIZZWKlF40QBLyXVkIDlfyuKSDOXfsK6FBUWut2tDAGyfiXnxdrssrj1VTdEFl0gJn3Dwoj1+E2lUAUHp5+J+GeYRe2/mvKBoqjfgkfP0VsuxvgL/G1d5U0W0CpcfYbnpFr0UsoYj7HzQw9pQjNSi3i0lV2KeghWC1Lud5TNu1Tk20dvQKWz8ApXSUNHAxGanzvtMljmKVKxOrbujctZbEcLMlbwkozvFNxsXKNvd31J9tEqeSkMMERU8QqH2fDbK1lyPnqtj1HdO5CCus283eY+5lYfvGFqzalmeaE7qLCT7dq9zjkZYKsiFxoiiDlYF++GZNK1asUvEbYfsFh0WU0JKwIC4k0mIW5kdvrnih8OYc0mIChYvv+EBDYgYkhDNa0fZAAchFP3jbw9JiM3a5MIiCfH1P78lIZq1vugJE77UPh6Zy4wJiZQa9tL7MAih7nODzj6ID2yWRkZgZ6QPMk8lp0l4YWrqMqmniDAoZgfqJ/EL85wwvbacOP1WiM4sTWmhJ5vPY5HyBQh3thgTquiSSvIQ0zSJcmYuPMnJHomlKL7243W7KOIi8DmKrW4P6e6oQmGCEPImhBJiUx+ghgFh3FTD4E4F/PJMdtgtQsFJA3Mut4JpLrD3DtDmsiq23nQodg/5uIGHJyqxA+URmFAxAv9MRSJQI7XA2o5kpX2StRlh73dPZIWVn5LHTKIRbVQYI8FCr21Ba1+YpEjEFCJKU9VtM7pMQalkrAsap05ce4vy5hTGqJFoPXKdnXcjjRhyJBo8dk00r6h2PneumrWYQO5DEkfgxz8wmRmi3ruCBF6FbralzCx6v/cItdcvcDm4+1ibbUdgHRb5QFbU2J6JMd+Dubz/ePBI5XNOneV18rfhuiWJEt1OfWDHFFTCPxWbC41GpxkjrrY4KHFz4Dk6KaVe7IlWw8HJ1761BMCiMifaZsazPL3OBl+fiYPOC5gKNMLe/0wNtunjmzQOuUZRAtIychNG4N+peKifqpcHqWA3jipally7GPfDI7i+PxTRbnGuhi7yLujj7jmXWcsibQVjwEe4Byqjq2cKVn1SylvvesvxBVlQHAPcDhXtJyjcXBBH9ZiqXRXDuDz9s7PP2hZUOnvvdPgBjv2U6usXbp92Ny87zukBDR8dksYvcNMLMKssZQ17T3aGC6LYzHZ+SShUZLUPqCxW597npZjtpsYiL1tW0C9UHBSzvjy4wwDLccYEVRAurQH2K9vyUuSrywphlBsdLl4xI4Kmk0PDSrM968t2r9oAzlWYYC5B7eJ1DjwXK79QpnGdejtA9ZW5VJku0zgw2qEb6mw3DUDI70s4wvKtEEWnjr54r9Y9NF43G12IRDwvgGF+sSEzUU2shicb5GAGWUZ72RH6mayTEr0YavWAsossKN8V86A3z8hyuW1XUQE4wpJdcoRBJzEn2mJlJpUrYrhnWazM2RPIpbepZoW2N3tiNZerd+gfV32gdJcm1xyTPu39M5nMlX1coIrL8CgZQwl8U6d9pDxFFcBeH/nIXwwl1JGsXuKCL8wZzP1uR5V2I6EBbTo1i3l5oBpfVKGb4NuCbtY7KqDBbPYVFugAd0M1y0xoOu7LyB+4zuszhgq3fcknpi2bNa6YbU5RAf/K2CuoNZbH2fTCT2yDcXh2klHQ79nSf+sSvCszaK7CA8WruWRIkWFlSv3Ivf0zVMYBlori75sTBY2v7sUjK+QbRpcojJFtaJwDL61RYeyFzOLKBRMgFMY+Ul2GECtG4uUIfH4wjRlnIdiuHQ+wVCIWCq1LqFGha0eWjGMwtL6qW2pUKWr/a9GwZ8esmCU/FU3VLkjsJ2pWUsWhc1i7qdXamhIc4phv0Oagpv4z5edGFYbs/sTy5hJOhmRdlxYd5tZTbHrUAUG8AfqFmYBk0CuyBfT7VdBkh+6S0MP/AHtBhk0vdOvq+bgwcP6OsqYaEg4XH/jt4yeq/hytgYUdapxTaaUFotLplT+SEcvs0IR/xBmVQO4t4kKuqnXfBM/5povy61ChR49wlDqZ0Talajy9v9ts6mt78+TxmDvSiy+qv77YuWL1CxUGRDdipO+qzwxZ52Z1XpxDyZ3Tb+OO8uqLtdjQcZKCXcQRhcZSMwrnFKywMgw/UetSw6bRxibEpM/7nqq5bDAcFm+CS3A0qfcR82HBhh6oYsQgrMChTeZIbVuaa4ZV7alncWKKGwqovYL9nfcEuCuPtI+U3oZZfPjwtHsmc2ktjmvGDzzv2BaVopmMqxva/yVc06Xm1d53X6ligCo2eUJAVUHfvtxQLFtebhD6VODUFDfTe97WFPXWOT+WcFBRIUW9OACbwY9FjID3pTZ98h+vN5zdmLzg23zd8w3rFp0mRLLXuLyriawEKNE6N9LYpZU/KAa3BTx4wNvF3rOr45spFpl9e6qdN9/7l6+kM0xoOJbhO+TAR7w7kYRix4zAj3c71hXmFWggzbbmRWcwA+wchxM5tTcVdF4+fKaT8F8oKwqT5HPG+J/xAC9vGXeG6h7oBB69YLJ9O8Sl/Z8wsLNFpz9zOuHOrE0I87aVOn7nvNZrRgM+iZEVFSw1FyLK3ymHZkbYLyc71nUNGTG9/uOEMTIryWLmRLLYKlG5lodvHwxMQ7Sy8nDqDrAnk8XMhjCJFrXi6jvHy/yeij1b2Y7Ajif5RBYKN3RzUbB35Iuo1c1hDQ+LfmylVbUuRbotTLWIwalg/0zlbIrWUpEuOcJS3nCLFi0xmBF0R2n0TkgjZ73s/fPjzboCHoRChNksAN+R8R9bW0kK+CuZxxhsaen8Ba0gSqy0inx9D9tJ7Jg9YXy6/xNpH9acqjtC000GYB9a52tVsKc9/2ZZUeFtyHrhD5SR6OQdhaRh/ydZPu5jbBpdP5HRitzQ83JYd2zuQH0H43rgelLfGcSKodJWU8MIphEP/0I26xbprM9yfftA9QPrrdHABAfge2peZhTdLPZsQ0Wxt0uhBDvPiXHuX3/ryPxlsymSUKjeQj4gYB/q/eM9ZY6h3LYm7wfYO3ZcV7NOJPIM8ne2i01E0v4c8pmZ4BPQijYdnstr5gMTGUyhTqWmA3NxJxvnED1FDr1MvNv3nx0yaxm/4T6zNqgPcNrka2btEdawibV9ToyHGagWfvl4QxXO9nnWNSno77lBCRhmiF47I/C6K6wL+5aC6O8noLZCH1FUpFAXh6XGYCMfzvmsr5gLQTt0CE/Lhbnucs37qg/M1s1nKzBq3T+v6wliXdToa1hQ8+6e6yBXBM0OpvIA/3hDdRnIKB4JELtq9WPC4Ha6vTDhVhTGqHb4SGrzJYRx8+b6t483L+yshLp8EX9er7vHMFF5hu0Uxjm0zViQrT3b/K1597kUslN+MOH6wrqHD3wiZwikGmAND7D3VLpsgIsVj3KAfeEqojO6YIqAVNAYd8ekaBgUncVgIYGHD7B15FlU2nKEvSCZy6Lje9LrUqFQ0Kh3i0PfUkZLhU7iNOzD/cPGmD0ExtDn+Rvoo/dDE9LKiw0zebwWdTdwLgywN5QqA1eh2JZRU9dWL6U8tWSLU2f9/ZksmIrCRsqwpCH7VYqObFMp+hUzRy0OY7ybhr1szrwTqRwE53vYHzbrdHsDDKHEAxxf7hoEInvb1JovXI0I+EYQeew1ODVqok1RzhsU7BPHMoTnlD7Vc4TmqkTgYInyGLJCGVcl0v0VyAtQa3+kLFqxCURbLhr4kaoRhmHpU1Kwn0krvGGelhlhdzfUmZGDJ+j2I74NN2w5IiUqNE3YP83rWsxaoEGYbdB0svuVihj02b9BE+ju6XeyvZkQd60KZ12ef6YUmYTe/sI3RzrjOpU1FAIv3sc9VYoU0Rasku9SVSJZ0SN8zAr2x+sPu/uHF25G+pGVFfgU4yKNbcWtjhLPcgQ1bGuyqzGfTYyxcf2Lu7OjAUJz6iuHx2Y25kskjCIYjn+uI//IFlH+5dq45ntyHIMvNTczh/ydTCyWY4JaZpB/phJWIhJ14rjbpx2lNWLMnrDRMsCyqjb6dBdRSMaVKfHuE/r3uIHAuAml8N1mlEQO18rwsIh+czWGAfL2fOtPM/K/3F/hHPbcsM1TQU/Ub5vhIaT11vKLBAwnrznYND5JutUhnHE2oMP7cAKqvz4KSUsaz76uD5lkPTofhDoSFpU0Z9HVMdWBNMiEOxidvfXycMUMs+7Ne6wbIam2sH0KTi2uLDFLpPcJqzlul5dL8CwUZ8c159RotrICRYnIeYr+gmxI9IoUFhXrAPpyxvNzwqwWpRxPaA9sLskHRD+7NixLTXWAblwbsjPmoBsdMdFhOKFx1RxmIn2I1sVWhyPuyKZizjvwptNrmrV5aaIT1nrJCQvGJCIBbQ5zT3amCdGGMJyw+xgond1iOF0Y93pHNfXp+IGcmkF+IGOTycOHN5A75ZcQ2eh9EMVzBvkTWeHjXfPjbne33bXAGPpegFJJW1dqxpAVQiIjod+yaZHy53jMm3uuM0LP3/fHR/2q7xiq47FwoTSyoef1NpO9E4rLinc9//jdO7IiJqIUZTjo9xRkwxS4vLyPlXEyXlhlN09PkPr6eG1RDLLQ+qWQXXKKvnukAbMfVn9FVfgkkfHtBMVtyE0P5x16Fix3ez4p00+52vANJ0QBmyt+lCHvybaqVVTV8X3s7ta90bG3qUv5HFrWE/dtrHmgNVaye+dGdvUrE/1DPz/X9AkvaIknryql13L/C6opYSuWAJEwQD+TrV9LQevTA+wFXrMqp7ROb5pM00InJ73lg0PhvMOrJyTgnQyAXHRSJHULtiZ12BfSOkzNJ73wJzKRycVSNSxj9/ROfD0CdhbLq93nmscssBGWix+9uef9sLLhRJrI39Bq9mrXD/fUEHeHRKiiTyy23nRBBFweUxBGHu3BgUyV1AdUDKFydITmOovD4yF/wHR6gzb8+Gt0lqrZqZW5lLsMQybgQQ3AHyj2gwxSUdKLAr6nigCrXLWtxWuEUU1MUQLocktNIYxyksERHDPmlw5LX1yo62JvGhn1Z4b+MlxvLXmpNStMUMVevbrbodx5BP6NEgHIc0p9Su4ITaufYsDqK6CKnrLI55STvvzvN+qW8ltvzxHsjsqI8q9pIhfDispbhDXk+bpm1lCJC8nb0CM9w+KMlxAd7UV+eA37tKPyoPA3GsGOwHRQPiHd0XclYfjAJ7KfPXyqQaHt+YJibkG5j8Jllu3yzIYH26MGUkE/33wm+/y55PXS3GgM2baoucHobVNiIFd0dYfTYwZtSDGANIAKE31Y+TXwQMXWuqpSuWMbXVMtVOaTgv1AFjGKbeeyQhnHygO8lUmRibk04tGnfGcMpBn2cPlEWtTy57Cgu98Y9GOUgUcS4AjLVa+KDtCHQI+wt+SAyRZKLQr/H8le4rm04tW6f6b8CBVjooI+L8XXUBueXdGwPFvrnTFS0Bf1SNmyojNZZCkcYHn3L4b2CNji0G9N0raEAdixE0tGM7aDhvvv/x948onPDQplbmRzdHJlYW0KZW5kb2JqCjczIDAgb2JqCjw8Ci9MZW5ndGggODIKL1N1YnR5cGUgL0Zvcm0KL09DIDEwNiAwIFIKL0ZpbHRlciAvRmxhdGVEZWNvZGUKL1BpZWNlSW5mbyA8PAovQURCRV9Db21wb3VuZFR5cGUgPDwKL1ByaXZhdGUgL0Zvb3RlcgovTGFzdE1vZGlmaWVkIChEOjIwMDYwODEwMTMzNDI1LTAzJzAwJykKPj4KPj4KL01hdHJpeCBbMS4wIDAuMCAwLjAgMS4wIDAuMCAwLjBdCi9SZXNvdXJjZXMgPDwKL0ZvbnQgPDwKL1RUMCAxMDcgMCBSCj4+Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQo+PgovQkJveCBbLTYuNjcyIC05LjY4MDA1IDYuNjcyIC0wLjY5NjA0NV0KL0xhc3RNb2RpZmllZCAoRDoyMDA2MDgxMDEzMzQyNS0wMycwMCcpCi9Gb3JtVHlwZSAxCj4+CnN0cmVhbQ0KSIkyUEjnNVDIVOB1CuHVDwkxUDBUCEkDioQkKwCJciChEFKsYGgAoqtAQkUKFkDKAEjqmumZmRsp6FoohOTyahiZmWqGZPG6hvACBBgA4+MRjQ0KZW5kc3RyZWFtCmVuZG9iago3NCAwIG9iago8PAovTGVuZ3RoIDY3Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KSIkq5NV3yzVQcMnnDeQt5DVUMABCQwUjS3M9M2MLAwMDUwUTUz0zIMvU2FwhOZdX3z3YQCG9GKTLEKILIMAA09IONw0KZW5kc3RyZWFtCmVuZG9iago3NSAwIG9iago8PAovTGVuZ3RoIDEzOTkKL0ZpbHRlciAvRmxhdGVEZWNvZGUKL0JpdHNQZXJDb21wb25lbnQgOAovQ29sb3JTcGFjZSBbL0luZGV4ZWQgL0RldmljZVJHQiAyNTUgMTA0IDAgUl0KL1dpZHRoIDc0Ci9IZWlnaHQgMTA1Cj4+CnN0cmVhbQ0KSInsV1GWo0AI5D7ch/twH+7jdbaqaI0aNTF5s/ux0ztvNdHQNBRFMU2/63f1Srf0MDcs3PMajj/8M6uaJnwXYcHn5q67GJ9wrYelwoPEChrMwg0ex7DLF1OfPWU7cU1rO3yesfesDj4/vsvD09TuV8WTVAS8MW3SrsMTo6cwkwZXLXGs0tF4585bBGa1SfLkOSzwBMFDuY/A9fGNhvCgOjz6gkfex4lBjqcDL1tVIC0RGYyYomd2fNq+nFraxeytdRzYt1chndHhLT/a2hUhY/IFAF4VLgbcTpw9/DoRdiQEGzFKxWgRSwVL0ybiUcwbwBt8pn0IceUZf3S6vDFNcLIeCBHXG6c+fbfgfIOHqGLNZddVyDkn4PQJiAy5rDg1+PDGHZ8CMbGx8FvgXrFSHSJ8qxdZmNoWrpVbw7k/qxgYmYrOWdEdOY2f0dx6y+JxkrU0Sq1TzcPFvYAiuaKUwwLovW5+f7oAEPrZrodCFV4MwCEKanXdPRy4TiFSaYxmniSiVi8jFUKvXgcPkSxKKM2PUHdUvPnwqYS3AQTWQxNf2OZ0TDrQ15fyZ4OEpDCEA5LH7YIz0EKa/L8lFuJYcUSEsD9Zm8j7zBR9KTmHBPQ31SFAMMBbt80idSwJtgcUSdXnpMHEC1JABnwq+ZckKvWUpPn4jpJmxML8aVIaJmROj5mUnE6IZNc/E0d204+jY5eIvkir5BQEnA0gRkVsXy1xIbI6p+PQ9/U1N5+e3j6zgipEphBIeIaQVolgAeaD3JGxfLgMaOD9dW+RrtiFZOfjsnKOfBJ3V+H/blHIhTia0k2ZYTshwbVPwpOg+hpP8pcETEnilDxBZl+dmLTyCk/LQsrJCTVys2fPUkuhQOT/lzSIzBV7+uV2bT9feWYst8tXmj/9fsaeuYCqjuJCDOp10RBrdTdzwcbSVIPLqLa2z0Nc1FkmUwPx3jKHEqeUVCoQPaZ6xdPsLsUWuMZ4tmQOzgrurRy+oaDz35Li2f1wHJPkDhIGaUPk866ZaWgVXyYanTVl0HxzuuonNkSKiavUZ0LhmUgVCCC1ZknR+JBAlLqbONnQlhp7hvuj19pDpVdnrJYzPJ9D+snVX6W/QvxLW/QFluhDibFsZGxMaezYFwPBar+xa4q9Qpqv50Cemgd128bJe1RqLdojjNSk9F824BSUHg2FPDWPip3qQUlc1pF6zRh9ANkfYsnNyp6zXqJ6jt2+D93birw8SFqts1U9IXjYQU+dYXSk4nwMBqaSP3qVhct3CWXi+77fs/vM3aB7subHhoZjdIr9NVz99ZHsVBXcUFLqqjGq7XvPJuV5Z6XUUNPH1BnvTGIa8UrcyTmPJmipuhbxiJGE969NLeJQt7V3L6WyenFIvOwt1xvl6M6mGNSutfc8yYbTFd5kUOJuvwWtPk2NitpXV7si8qd6JL+cnqgod6zJSTrTo1naFp05n2molbPQsAobkuT3PpyJ6Z8VnTqFWig50zmbfBjxaRXxbutbBLOAnTTFXp2aUoamC7tWwUerqHl4Y/076xGtpAvcxgArTZCqzVuVeHdRS7K3ZbKuvuP7Yy8XnGGDUgnHiyGtw8w2jjnB1X+Fg9RXdrXZbi1NWgoEIVXDbX0O1Ej1qL0TdyxbbdLtwDZ452O7AhieT5Y9umluqwZoqSzuBLYWtSQNI584NIin32G9+ytbjNbczDRuUdu09qYuGDrNW9W1d/pgsdUqFDQUIdnIZYfMHuEUh1C/96aLMssZ8T0Hri0pJ65sWWsiH0qxc8ffWHkHSfPrUJ2omwuEfdGetD2HByPd0zH3PhwlY0o/UTi6AuqSYvJZDeHtMt56+HPF/7t+1z9b+TeGi/9m/RkAY3kJ7w0KZW5kc3RyZWFtCmVuZG9iago3NiAwIG9iago8PAovTGVuZ3RoIDIwMzAxCi9TdWJ0eXBlIC9Gb3JtCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9NYXRyaXggWzEuMCAwLjAgMC4wIDEuMCAwLjAgMC4wXQovUmVzb3VyY2VzIDExNCAwIFIKL1R5cGUgL1hPYmplY3QKL0JCb3ggWzAgMCA1OTUuMjc2IDg0MS44OV0KL0Zvcm1UeXBlIDEKPj4Kc3RyZWFtDQp42rW9S3NjR5Imuo9fwe5ZNGUmoeL96F7VXJsy6zEbs26TltogSaTIKyaZAkll6t9f/wIgccIPgPOBU7dqUZQKfuLl4a9w//yPq/+++uPqf/5yVVctZ2ttvrLy38M/pbAqrVobr0qpK+ebDVe/fLn62z/iyl65q18+X13/8sPVL/+v+V+/nP1MW+Vacw7jZ643NyC+UsRmJM5llX1IRRPfPd536lODVruKvlhXzEh3dExNG1fJpeSqGnP98IM5M2RzWGdwWZE9HB/SDLRx5WPIvinav4jptroK0dmW1FJ/JGidDasas/dq3PuzK3U2r2TEpIgeiYU6F1cxJFsU7dP2drM8X+OCW9USmh56y6w1yEbV4CdDG9C+PDHEsa1i807dhesve1pzjjaVlctF36Pr9QtzA1xuK9eaJr5jJl3KygffouKMl7vNM7HbV97aVS7Ner1jFK1ICSc8reb97UBrTtI6ub22OM2VJw/KTGnLqvmmh325u2cm7bHXtmqp8fjbM0Md0yqW4NwwtrleM7TJrmzxWc/7meAQn7IIyazF1dPjhhABxpe0aqkkvdnPr59+IiY+URKQ1bnueeT55byAzmGVSmvuQHZ1krXmOkGuVIhN0b4uDCnLE52QnTcjHXP/a1hZXxw2eaB97IJyQUC7lXeyRX6k/ds/ZLv3evRfCD0qcr6mZIVYfeagju8ZaWQdhHdQs7l+ZqS3lSnLJuid33w5u/HOtVVt1euN//rACDFfhFP6rZoQG+rUoC5asEnP9y9G7oa8SsG6pNfKqKkogjPkpLnlltI0cs7eJ32hGKHrkl+F1iD9TnH4SaHrMiRQrJr29bylZVzxopKr4srrz4zp4uRaZR+tG9f6t3+kd5b+znymebmd/si9MLuPfDsvGLxcCR/aVIbtlQalrEQ02KoHP6yAYTZorVhya6fv9opRfj5Cghd9hn///LLZMrpAeM87sURnG0FpT7H0Rf8Vr1UBQ5vzylUt26CE9ork9P5XES7BZ61JfiL2qysvUV+y7WKjeVve1vvK3DaZsq0uumBG6gXFV1c5pgzNN1A9Pf5IKAHxTaI4U3Y2Y4LJal1Z+TNWRXtHiTSxBUsMreiBKdZwTm6oTX5CbXaGFaUBkvBGa2rNhztmOCkRwqrt7tj4mcMdW9/ebjfPhEqHsHQ5Z70bz5tbRrUU8Z9KqpoF7plzKG1lRRtq2kdK3MoFcWI7qVOgVItYMW52Uaasc/qGwsnMc46/eWI8xi4ag49ZM97mOyPRxKJvtWu15fui5x2KqJXu0A/b9fSZcgYKbJ7Zol+2r88vxEX3xa5qLQh8DPS/XjPqpIiYkB2vp27M1fXvjDoRXhMmP3djfv2BOYSaV0Vuf7u6RFBCsPvckt7+Z9Yr2Qn2KGPHIiYGaD8R7CpaTBznNKNlvE/xakopLmra10fG9Kt+1VxLKZuRmopQtAh+Q4BipGUclApxlEpVtMcVgxZmzsF08Zr4mRFmLsGfiJp2/YV0DELXCm+0hrTPRRWkla8Odue4WXeUByU0KfrZiqn4V3KrXGzVx0TpQVjomjkWLc2rI+Ekm/W2DVrwmdIlog+CDSOnmzcVygSI5Pi8RSRw5JudCl0Sj16UeXJNn8ERkTLYx3JyLvvEnZzSBqkHPb2+nHdUKE3OvXXDfNitkypQGcdplXJweqsOKtCc1SRw2lOaUTPKtyKklbPeMEoFvgthU8SXFiWwJ/7K0B6E8EC72X5+2n4hZJpMPFWxGrL6wPrxhpJqVjil2poU+XH1OxNrsA59U5OfXtU/KKNZpGNLTe3fqH6nbqEMKz+38jN86PBPCZGMXbBNhHWpcvt3d769f6isxAUmPiU6OYp6a2H81O4haIFWNFSzKUI5vtHugvd7i2jPx6fI8XSQW4lOkd8/HhvbKGLxIVoWN1ERf9o83G8IZjYTi0I8oSrCX53oLxxX59JyrWbyken6zxHLNc4uVURaJsT3TARSTq3ZaCF+JqSfiHvQgliAsm4/UG6owJ0Q+NTGtd6Tj1K2JKfGJLSCg04RNTlu0WfKioElUpo63nlo9fy9F/+qhHF0Spn6uJILWusbpeE1C2KNPlWI6MmorJshYmpVxTIvA/U+MHvaB7UiUHIdD2h9s7klHcnks3fDWjk9aGWbfFNL/Xa3fmHUIMzF4r3aJ8YNCiJGYsv1St1ayg0MwpFhvASU8yn6VrxHf/klwFMSTI00p1x8SBJLIbtYlsXEzEIJYhI7O65z83DewRM28tYrNrqnTBq/QvxEbc6flEUj7kqOzo2k1FnCIbWujItcXeSOivgXUfxmTfwiN3xZeoszL3anmLoj8af1s7J2tewWd0Fui/WKkMiBMOISih/qS1S0lDSzXuyWLGz0Tmsmr0RLRo8Y9sijUAOvHxnPTLyCGJPeZsbShTdpfQh6wedjFM43MRPF+zVqi6l9imKJiD1UhiHJly0RDyHF2dlSuk7YMVvouoF2asy8nLJJjkQya8rVHd215UhmLt7pk+YimWKHWivCfGSxT5QCCng/VqMygUzXEHGAMTTSnjYhVSQTNmid77u2Mk7G0ZzcygAj9vJL2V3fFnJTO/Zy0J5L4czmQ9FCaG+jmGUH1mVREMzF1EopV3E8/UwgUPrXQNwj3KG3jAqpdYHffHNqz7aXifzculCqH4hAjrSnze5pCDKtarAhK9rFR6nQYg71QGXOqdRRP4nzKP8bvJ7uMyGy8SgVRZPr+a6ZrLmEd4VYqqJlGLqBIDSXzUh7tyDwxcMQVTEbcveQtWRse9HIORV3midOS1pxYIUiOJonhrQ5v7Kt2nIRU7ggDnf2UImXM4WD4ZvrnCluqYy5JLcHGZjERmlFnq3MOsw2mQuOiqwJwTnFFKQnVqNIKhl6GNnslOmGihKKhhDbx/qj57RgE4tyEG9jtuHUGxuUQxGrmruEKi4qTlmTe6H2jAxtQq/klKreMzKmmmLQDPadUiriwdr2Abnhs9gANvmolruUYiKGUvJ4Mzgy5JL2rCI2xKO7WpZUU6+1llWpIRWOH05EbrO4hK3GfbSMuwd4YXBOrIWrKfX+Hjxtfw0+nd0riGZX8DIwjv5MZbclcVwqOHmgPcGNZp6o5uQKJUX9wshYLz4pTA1FS0kOuX/VIeH1nbZL2u/Uy3yQgy4hZTXwe4z+/FuWENtS9axfTphXs+RkcSVSjZfvl5AiOTlVr3hsRSU2C4Pa5jWH/HK3kLjerY3UTjDWWbXSIpza2S5TAc2WxdFzNRtqXBXz8mJ5+hTUuOQziPdOfL2UnSJfP5wNHYigEp6anesDpQ/cKgRxNNRi/6JoZVgxr/Rsbze/yhcfmWCJz37lSwr6nG4prdD6C0W4/IwNQlJRvGoteCgluBfwWV1/TtxOPI0o/qEP7xzyQCiXQ8bCSP1wVrnkjJqTCBE/UDFeVRH7TJzgIBp0oP3GuRohuZz1bO+ZMFp34Vr1ivZ4DpqOpXXhHuGmDMTr70v+QuzeqzOXb5SzTXbZw54caL+cl3EOgaw8O5oVIeQmrOSLyA23o/3bP/J7hOLv3+8JJ1TOOMTWzZ3ph66fmBAghHSwDpphIPaMWyeKtLS++oH21+vPTFqfRR2WhfwZp739sqZ8NARJai2KnHPRolg9Ts/7efNlTQXE5B7bVHI+0JtLNLFrtqlTn4q90yExOWkXHDTFQHs6AGqm6tivMGe96Ccyl7GWlIJiks+UPhbHNhXN5M6+J4yL+UPpZryXyCz0oVFWvdiaYnm1enrXz6hnv6rN6gPj0lhET4WWq9o36pUnZBHdNqthd0/ohGpOSD+Vm31auvz6w7+TOis7FNSIwl2Jv9zqW0HN24funh4I6xd5uL61lMYPXd8yti9SY1D55PQsJukZ14TQrW1lqz/ynToJxxO3CaJvb6EOi3lln2xgNpmR9vAIIAIdi0X50berP672yRlXSHUJ+wFFel7dfMH/IeKkthKzM1+uRHFmMWhanPzrq4ern6/+e+kZyOZ0+DIf3of+c3Eyp/mhEJrA21V/chu/cjiS2x+p9yhxZXMK6jvXxwvzzNyvq7HCWxmIv/9IVSCh5jT6pIh/J6uIuuqe7v2lSb89hocX2vkO7mUsVZ+cYLS1qJdBhQKyKHPb1dpJVviBVHEhhvl3nH+v3/sfjLwoiA7iIqSGImi3z4L+N+Y51vcM+lZG2ilDMhllrceuRGWZcQpcqbhbRTEsg5o+JC1xn5zsepHjVNSUpMWzrgtNr31Zzo7Whhcv3IfTO/iJjKULE6RaqlrJPfniay3iJe+0F0TUUSJcq96H9wDT+YA6EozSpTto5oXsLbXTO3i64Hh6Dt159N6pdfxBBn5CUOw73MR/JcsOoVyGQ5iugyonEjfF12NMaS6Rkg2ABt66o5tqaDnZ8LTcopIP0wiTOVfl78Wc8me44wfGKLUi8FuYf2dyOv9CPZPLwDWe2JIdnz2+rM+/lIuVK5ctxQ9cUt+LA2pWd/SBjF85Mczdqa00VALxlUdmSAnntuAPxuCOeeWdGERXhLg38yyyYGtWp8kYEMaL6g+5Xc5RV/NEFV9E6ZhU7aqJkZw/dt/hHNvO4W/fMSf9hfPiJ61yuRpmAxVmuLfBUKdTOC6CzbLUCd7Pv3NMjZ3VCHhlSaU0tZp75oaKt4A60qxoKTUmDClOZInOKGLyfVQcCGGn+S6aJVNA+d4p1fl3DlL39kcqqQaQEpAyw1J+Z6Su+NI2tvkUlnjbzEFHSsknlnJem5nxLXXn3Z3mT6rUTwwNsW/OTYfa2FSFSVxsikm4UnIvTCLa6AyTMNKnP9nCoVan++u1s9SrbVsF0UFekzO6dI+qEmRs/NlTAlSo5H99J24qTC2Rwfji9DtcgZ1MO4gL2bIZib8+bDhYKvG9bByXYK4j9cCHIo2uN9T6D+z4n4+UGx+QkV+iWv8LV9oYUDzcjbyB+oZywLvDI67/SEtlRUDxpVjjZPkXYIAgQylVxTpcgmMGEAZ8/5H2O5MmD9vcFbx7qRV/JnNnbEupKF57et2SQFUtAHli5LUvZBA3i6Hj9LRf7in0D7nlvShnpP6TQusQCrFN9MhcQiagbaz3SW3YQhpK6IXhyashqfQ15Ork5oIWJlzGDUCqUtESjZJEBjmgIsVKudKSaDHpJosRrK/RhlJBFQUYtuit+gdhXL2JbzlZpMFNa3KoyLJdxSgXyQ/k36hMXYPqqSZ/pYH4v8jU+5wS5r+jvCDm2lZWTrgNY1ISp4d2vBuXSsVhfOp2ZBgol9L1xWdProznImYroUnEXmup6CVS4atYIRjdeCLbzW/r7e3CfIWBQ3WumiklB5pSUZlQ7TjfF6rgpHvypY07+wcFYwSQmFLHlb6uHyikjgBgE58uOE8Rf6skWmPknhcqL0b+FuE9cgIF1RQKYCl8HihJTBCEB2wdj5ODBxRPPlc/LvQrlXov7lYEPtcw3e3N8WCnmWemZGcVK6yXgDt65mHxI9fyYIKQmwER77Jb5vaJOFHkZYq52dJAe/vKYGxWsTZddVAUE9oXRk00j1BHKdFMSTdcqgJwM2wcBl0xSIAdAighrjOh/G1FZTjKFsdYxpX+KjYfVd9axdhRM760Bhq1rl5stXDxhvX0iobHoCnlmomayO/lkNT5/sw+whWgjAyzffnpf7udF7i0ZcKW0SY7jpwppSrCvzl32O3ZM1wQkUnGmMUM8tNjMz1X8jwoHkLKFkGeycwpPFLhseqSreNt4srcDeRryqjTmVLfkFHTnA7sYYa6wfPiNSFLMo2nzJTqIJG8VSigy5jZINcwWFnoQLndfN1uLoBdhTntvXDYW2kShesrKiGFbq290WoJbc5g3oWWRB0p2pdTtd9GARwhnhuromZUIMzxErIVQTvQMiGhJu50bS56Ne7nJyopDKExlFqOxDPfw2gQg5Shdo8QLQ2YxYMP2amVUmlRgE6uzuqz/fZMJj2IJrP6cBnFkuGzNNSdJbySi7HLR9iniYOhwzAg5HL4zIlX4jl6lqtZroQZZsC8Eo9ZPaXYfrF2XzF0Lo5iONudhckqXjkoLvl5l0QTyoPgfM+8MeCStntr2v1SdMx79o04gMmFK519s//X8+wbM888LSkM3yZ9QdMtDFyWKeXFx4AsHvHAjfrK4Rj+QRkMAYjPZTIZQ6c7AHbYowRt3IL/YpzaAEe6O1ADLfU6jmqOlEJTtNTreEThfUhx3DYuAyzKem0XkQPtmpEbgB0utWnaB8W1xu2ygkL4/4drU0XO1oxrf6PstPAWrR9ot2T+bPHDkZmDVjtt3nmAcdasRuQARAviAoiHDbQUkKs4Ozk3vUuX31CRlB4y4vQd/YU0TpsF9uC4eZv1ImSzLfpy/kylKYhkcRZPAuPeUcapgxUS55s3ebXjXiB9XtmOU3Vy9/43mc1rd8/B092bHqZYBJlsQBDFtwv6S5OHZfblLoqPNu6Quf47iXMXbTnLmj9QNUDyd3M2XJ3cXAZrea+DhFgWJF5+fksieTyijVFBK4s+/PK4VEsoa7xIqPnWIa2cmsTL09d78hlql847kt+wSPSd2d9pzYckhaiHmMo4g2kmKKXbEsLxyWW1kFcqE1T8DhtmB7mmysnLylaboqJ9mPHA1Q4WKww8YD6m2Y6kvflWzTgFKgxcKrKhnWafLZWz4pHdEOrRbTu5YRUYbNBrI9UtC+QPvaZWuiGLLAFvorjswswQpMW0FI7w6j5/6xfqSTEjnFDUZGY6zcyzW0rBO9NI9jMVPRc1Klot6SHZt8R07KJfrNWiOJAdb3E6C3OxVgPWaNdqJw+T1WoAnkleS8+p8OG0GvzSBujKcXv/zgAzVLtH3J2v5pI8dI9mGc0dXcu51BpzVKtdRWSluLx/1fwvMnIrW1CDGWmftiT6Pro0lGFgc1BEEzmKmGue/pDzEMyyHO19Wbxa+3+/Lkg0MWlsrdUpugcSs7khmXXcs/HwuWRIMWo6K+svXZZZBbfDR2QKv3+GRlVHRDrFfr2PL8aQeZ24Eb3ty5mlGDZBC58BwkVqR/BxRVAwX+q5WiHW8UsX5WpZsRDgB7+/1jPOWAYEWi61DrRbRt8VtD2xKILbk5oPFITUiGdFMS+G8V85SNlUso1+oGSqZJESnALi9FPKI/ZUKx1zS0j2PxS19OFYwRFw2ixmxtuHeYPKJnG9s/NXIy1lUCGs1kpoinZB/AD3uIaaFNUtmZghm130Sjdk9AxoywPlaFBxJhXgU23T3zmk2v5Cgpwk0R5VbcKCSQWYxBK6pBnIGJMKbkvNuUQ9JFdT7cRiDxPO/ZBBBbR+wDJNZ3CxOYWsdW9nm/ABcwrQiTnE00fJGVMWPRCy5ue/U7UqFS85RxZyUaUKbpQYvbM7TD3ceQ98Ez2J66/bzfOGhbwqSXSwupMvVHJzKuKT5TKOTuJl5f6Q5fVl4Jr4IFxZUK4+Ev9B9ZGRyxtz0gO/UqkvFfk2KWe1XQ+LzWOqb9MbeOgKZtiWljE6WKKn29VMe4nB/fRAMx6pXkhceLRIFjE90DKYOfsOybBOB9rftutbJtkLyCbiWsAjGOifKChZG1bel1QVMVJ2mKcilKw7q4e+fb1hga/qlNh8JB0lBqQRFjUFZufwZCLKNeqdp6BChCtdj2YNpD+TCd4igFpSzEInpYj9DdReANEOW0empaBwKCBIOww/dQLuSSXQmghhtQNUgoloAfm99XoKh6P/O9UqOIlYivPPEE0XdWeIap3spgdQfN7XqP+8ALnq8FBfazyQmWlH6SWEvZTLlPaYhFLbVpzcdLltXlEx2ZlFHIWSUUI80q63ZEP1IN5VUktl+1qVIgpAb+8bQp1ZTogowmZVk1OhEpTPhBqObvNyrpxYvU4f0SMJB2ira5o1vpItb0XlJb3efeOcc500IViAp6v5Ay1zqMgSkkVt15tT+o/gincTMfnZnbp/pB7pIFpqy4r4E1lhKP5krmrrqY4n3TQUQ2c26w0DxYiKQNdQgqe27yCO7tZUQTd6jFmPF5dllp/VAaaV6/mOIy3X5Cpn4T3rxbIdiCnDtgADD6lhetKGis6K8dScot0+Pf427XtrFiw+sFvPn0p2n3ezYQC3d9l0EI0DMSnIRSKn4sxIS2UtoiFQRVLrSMvsGBLxcrJg84H2/mwkQuS42NQhZkVFdTtAunMu3ke11Je7NYmFJ2oAdtqEmvN7esQ716Cn/UI5Pr1tbAWMjKLeodlSIKlJvGbbivoClU1V4LM5PfWFzirID8k5hAlrGBqjRKS4FwtRsxW1VxUNelBBNNL+SYHBVdTwJc2SZDNBu5JbFDVzcRXpFkGWAr038NZmS2GWerEdYylz7qJQu4W7HOSeoqZAKfs7WewPGhczlocD4tAY4eQxn69GkZk3xV4PZH5IQf+185LHzEMXAaXIV5efr+mqJdamBTTVrgqvbq4kr5ZK2RIdyDIWvdS/LtNIFm184jGZdbrsW4SljBeSpmaR6Hu77yzXuaovLKGdymZVj7vwRmVooxd9ZGODNz2MuGbkjkNnJr1aqkzbI7NitlFclXbwyBVOSa2Wi10ABKmH04aBKSkbkaoVZzvFVWnLvbexxKhZg4R0yz7WbEZaroUMXh5tzTEMI5sllirA6rRFTZequ0SrL9/DHAPtAlS/2OAr8QBsMB/YIfFWRTJGzU8LuOQ9GGJLUFRce3Qr8im0xAoKFcxGqUGMRwXFBKp/WR+I5Z00XzyTneO8LQibqstrqF4MohNCoG6vmb8elxJmt4hKAwU0RrI1nL69Z7QC3j+Lr0pqUFj/B7UQ8AArVmXisf5z3JWyFUXcD3vFgWCLcLc+qw/8QvGacyiVDC0q6re4BBHYsHkydzPBsV+G3au9b9c4cq+2ooJI4tja7Lze9g3VVKKklXVVuFRt+/qFCiQhNyHFpsnJjpkeb7hObxtXrow6Ph+cPrCXuwVjzcuCxZSvio7q1yU6NVT0HbyYdgep5P10p/i+g/1VrqXZEVN9B/Eq5wuQ2tVOMQI8W/EfhDsV7UJ1pojNKIZANiPVDRdrEUlg7XzEszoKNQc5ucKdjNEyD5WZ+lSpTvPvMs+Egt71/l1uMHd/399AeHFCbBZeD/ftDTDfYcgn4rrv2xtkTfuNibL39gZFUT6vLtMM6OJa3RvG3QEx6pc77jnRlpxzPXxn5ww/ce0ZxJhwbqCFnP1CmLUofSt2RuxXTAxuhwjuhTjUnsD1oeo/AxABRDCj/s4kcePfmI1AM5BofTHqO5dhjCKMA+CZfJjOHIuZK2uUG5/SkS9dCoHYSu8pAXE1WZnhSjRRs5gaEvHPHZOhqlxdQZXhye3dlWkSFR7NIdo/fOd4wdwRUGIvqi4p2iO1mt12gYn+9kv3z8tjC3Hl+hffv02/dTiglVpQDLSX58yj7r75yWm4D6EpAuA4CXu08TsHuKbzCMeAiJrwtzsLlm50aq1PdUb8O4tI7IM+gMuxToH20GufDkzykfTe2nN8YhmWYrj0XlT0tXSUH6a5yoaCI7bYFP0lDZm+dD9tQdIRvgOb0tljGb4MczjXIY5n3zku1s/EmToe0/w7h0P6ixIdDm1mUhs/c/0jCXslmyrCZqSlaqh861ih/kD7QXXS0bBimH/pYkTd2FZIpp0uhlUmO4xQKJMzzEEwK6rDRFnH04e6h9Q1hChorSruoDq67FLrRdkrWirAjYubvZyHJiZxwpCBn87wxDWZGpo67NxwlBw6vAqF1Yoe15q/DQXlWEubn6TG1F1szQNIyKzv2LFrftYrBPxALvPpXFr4g9b0yZ6bDoXoLUaIiyVp9uTc8oSuQTZzSzlz3dGeE8ZnEJGcMgsQP0NHLbv96B8xF6LDX+FRtdqSytVhFrtbunjD46rJNY1TwgfGwihoGpHfp/wh56THs3eHMPnIZQUfEBW1FO8mB0AaFg3Q23nYs9+ZPYMtENBgcJz1kRM353IOZfPUyi/M+gbvxRpwE8TVFBfive/XIpq80a8gvmetqu9cinWD0uLa84yHD5HaD/ZirLib4ywuhnFA0bKfrsZ8pC/KDmUsA2hwOiFDNkgV9xQsMm7EceU3SxULCO7GpIkZsYYGbhXR+/+7TUTGWclilJmTLEHiyaM+MUU/HgbliCDqKpay93O2dPu83H8hESWqbwu3hOk94UXS53O35C8Sczi6I585cvnNQq9wu/vr1HR+pFLrENpGOsDIbM9Ual0T50F8vHNLOa1FjW4mHvSXSF7t5cg2tpFXr52nNPg+zphTz9gTy3F3zRlk+qsjyPQhD9/peNCGRKaHkTgSn0CmNzP4TCf3ZDZ0WlGvWOntFKfECpme8cWqaJEWnRknwQGeQ5c1X9QGvAGenzOcskOTUTUmlQydHYoX9cKXnu8zStVdiGqZf5IVz8W2mjSLvDDtfl1B7z07my+VWdW9mYLOHiPx5vv6/BajtKzKuWajOZPMH44t16hOdUMCCmUbvF4u5xmICs2yXkVL5hBAtKaQNFdRJWkp9tTIyRF3hXei+/yRfOPWkm0nRjYLb2AtweEeabfnUyuNR5DMIxNNMeVPlwlP4CWKJ7Tv0nvPFYm10EopB+L9QzDTDRGxCVuRsjBS391zgPRNjILSFDFRkGDEbygu1VQV7QuZNeSs7Ldzasf+QRY/I+lOz/qFxKWPHlgsI+1JxhxdBHGXSxNZoEemLPuIrgWhY8ROib+xaVYWYEd5PGjDIXygEX0FUv049Ccq2yohK23GIxsyxyHlbrsOtA8kZpBzaGkxcshSkheK6u18tqzLEWouWRNToRTREMXXonmD6QcAo7oFgOWNa6U6Ahww5I9fYkOhyCvZczGO/EhPI8mPZI+XydrYoCbelnsBmnyCgTVQX4Qnj+UO1ExuGRq8ldaCHvmPtzYK55ApUnDtQMfn/Fsg3BTvTs/XnM3bdbPp/kXZ0uIRxZr0sDdcy/uQO5KNVwv+xD5Z+t2Vmo7Mpd9WCPeqGeuQTbYY6/cwPbzXgz+SQcDmgtejv2w4gDVkOeGpdtyz9TNZJ+Fs0af1mWq1jkZJaCcZFfWCteVRB2hnHPJEBkRaa7O1fmNzyXxDh/px4BWTZynWkgi7XLph7bM/EkL5Nw5r3VZnZ5+Z5JAw1n0Rh7VlxP2H71zfMcLIiiALaCY20j5xSNqoL5nS0lUiqJwQhwSh0WHcW8bUFR53ocz37XhQz5yDCEK99Jn9f6HKvyyewCu8q2EtryyYdkbx80h7NMkEEIABpZu734Y5cJr5cJqJF6Pl/TTCHjPsExnnyPAN3+f0oTfa4FdIr1RfmcOBm4V8l1BqceNnrqkUEbG8YgF83Uj7XySOara1iRXDjDvDiSg2h6rG/f4j+bJtA9IVRuJ7smjRlWr1gh+P4Z52rKPpMP+8/CZx060IAqf2joO/7a9WWVTPuH2Gg78F2JFLevcu513Io9bm39Fy3CyjiiZxDjPDgkdasuTyLorDBciNHfAooRulIj6C3NhfqtVS/1kiyHvx5nMcuOwEeuPsBSF4W72a/gPZBNt3eMLTLPADBzkF0JaKzMeTTMB0B/AdNcRGfSufSSzUUsR3NWcWw/bF9WgSOh4E/fpgUYIyzt+F4RUHAA4pIcmg89X7Px2SnDsETOeGvoTwvoSymnSyMqc+BHdUbCLE0qYfuv55DL9PyM2UHK6Wzd00GMhvBvv/xOC95jC4HLKiHooyTs28ez25h3feiPvu/8LQoh1b8nLxxoEnoByGSjGHSKs2zZNA/pPqIYS3i4ai9uE7ZG0rQKnRZlZTP3BZ0K0ICzYz0q6fqciaRRWvWFjDyOb6+fXTMwlDgO5lavuuNzcv95T1Atw5xMhG8qfHH8kelID3L4r6GwWEiOTxUGYTp95w/Eq4VYTFO21n18XGlxZCW/TCOOTzzevzM5UwYpEqU/VmnXaSjQrvRTEdNH+S0N/iNganOIzDT0HA2qNntGIwyttFsplLVa/4y/larZBWPnq9VAqYL8hso49JLZXDQBR/wqEtgdpi5mUPWrkmnzXxDYUd1rM9c9ArZiriDIBmQkle3yKyt92klKmj5Md3yc+8+WbonOpruJoSG+YKd+ivYLvoHga+Y6rray/MF4dAETPl5hUlBkBOZ2mnfjxgQluoXu0W9zjorKilGJLaLfbNKdcS1Jy/UJBhtcNAKtLN+pF5G8C7UfVFzKORfEU2fxLTsEx2emcY3N2z7TVs1cf0THXXQOZvPkG5lAAnDs2MK0WfTpTi2Q1rCQhtervJ2ljhzVCL2q+lJxiHI0IDRLXem1cKmwtaXPhLz/h5Q9VRdjjjGWN+u9tw0LU78RVml/Fy8SU+AKALu9h9YuprCyq2KqKxU9rNM5ftg9fn6AZSBp60BuT5wlWZUm6fuL6+1sl/8rDW88kfyFJtsYlXMaVZXQT3guzSlv3+ZH4hbtEePLZoWvJQS1sV5F5GM5Jzx9rySky8AMExoeZSVmBPixavTk38mQyqIm6gaT9vmWmbjkkuokdRv9xtNxsSCCVVZKC/0/PILyhUs4BBGcf+6ysla5tIzKTnTQmPXhoGaJKRloICwCN7ti0b4qSO9OXxEZbeOCxVz9FL44Oe8uv2hnpow+tRtDXom/HvVMWDMGfAi/VIy0U5kFAlA2v+cFyARaS8+FxJD327ALsgQqSGGvRObzc3LxcoB32jPqAcUORh3UU38qpEBBkBNjElN1wOGrpRROt7SGEYfPOdKzwPeSd8B+KvjAkjvmIJFbbxODAl/8SHiMlWtWNbymBzEYWexav92jzebMh2PDG35tS8KSAZ19NQqiI9azftl+jhOg1Uj2RhcMiuTjZ5J2432zWHFC683UKI8diUzbkSC2jz2R49knCGviD9dCT+xL48RPknxRhcM6/eGTNohvxGyduyiuLees3MFM4N3glqBPzKSP1C4lBFb2ezJvNAQxUbBkXPij+eSGnbio36lLdUVYGoRfHXtNhZP95SoYiG/kXzDduh9P14EfY4XEcb32r6bihcJEQUUgtTarPcWmHfcKBlNeaGWTOsTdeBOgbiKUb0/aPc658oG9ADq7iqb3Hw3DYiqwMBxoH2kQwPuFJiVdt2S4rtWlIues5/3t/uE7yW6uliBNSp1dv/cuKumHlDMrnnJWlyqklyRHd2G/ThHR4A/oNsapPFdG9mnMKv155sHxb3TyDj/rOWSm/PmG3Wl+Z2s12AQPLATkQDnJHwT8Z1R35+ipW7NccEXBRbQ+2Y+CtPr7/dkQ0MQwGsj9oz8sGvpaiv2ZbqWWhXwuwz2pMHZY6YlLAZfOwOl3tL4fy6/m39wmWf5xRsduoT54M84u14sRngOLxRGR4W1KLEtkeIjgy5YFkhV8iXqlfMIEHifSlW1GGMtM9PVJqO2Pw1CIMNtDdkfy9bXGmz9Z67S3jOkjts9S6tH6jXLOEMj9ILtU0bsq9Xm+3SCxkkFW0/Y4tv7ENYdU4z4hPzmgWcy57KPNJuf2cM0ZJWBf32NFv8SHaKsUg31XzB4S424Jn58YiXsNd6B16XZ1eAMi+Q54KHebXYqXmxpTrDAKy+zg5rQ9bwFtusvkoP65f7J1LWh5hcUkzGPauFVfJI9VSXihHVURwWkVr6Tj1Qpa0RePOIs46XirTfUbLS5D/m8juJOi7v0AZTnfgBxOo/qLwUt3J+toBfr/eJKQtGWeidrBAyKaXKh9pb8y+y34momlVAwHgk//O8mgqxj+qDGcmY11sRCAgAuKpnTPiJAOizSEQbSe+Y4tuAl33n6Y1SwjsAg1Y2qin6r+eFSuz9AVDy+062y3tnFFxEf4CMgMc45oZQ6NH1qFr1ivaWUOjRo7NIrHpcygqJIeKhKWre4OJpMYmL0xtITKnN9fPL+tPCTveWtiHEE5t1jjciXk1c85qWSlOMyBmvNmnir9vNLVVeidaSJdeoNuzmfckL9L6im5gLisU2VOw0rXLbIT5Ox/78+njz02XiB955fm8pyWT6Bt/toaJon6gXawgu8aKbV9R/Y0QQMjOFQ8OBlk4rD4i8ADZXjbt5z2g4dytDFkMutaRnfV7emoA+Q2IkJ71VW0bLiXxfFddmy6UeYIJYRQGQ42poZrXRoiAi6Vkzb0ZoXFEAlDSS/sWsN6IpQ0kxGcWUDC1iiXKjZsdLaKfo4a62oA+XSd+A1BT/3mtaJhYX0ZbBFa/nzNnKEU27ShWvceSOBWkrWtxH5ASpfWKMZdHg3TlWi50ay89/Pb9sqI1rGbhSQfOn6HUmjIl01Fhn1NzDE9o4ljQVfhrB7kdKfjtxVqptwxy4hKHkUU0sR6jvCdM+3osElVOIipapbzAittF/tbkP8VxCUmidym6C5dIO7iGWD6x1oqeAmG7HzroLmgbFomJZaFrGGApyPrElWFJvtIYNbwTo9RpDVeM+nH2MDR1sD++CI9XrLbVW8eNaDE5TU3XeIfU+gkWt9Z4ixT3MelQmsUmOZpVs0rtE2fTocVYDhO4Rrjg5IJRxLPAEhnW+vL5QyjitWrDNnR/TzFW48JHTq3x6ZO6bgSJuNie9wZ/Wz1QYWEyllXi60ZmLN1los0jJBk0x0MJDJ3RqBLpyaEUfL5N7HoWkOF/0Xn/dPn2mIBOiOOep1dm2P5/nkAj0gCaMqTiEicJE8TNDm/Pk4aDPVkrA4mrZ6gmfTR8zye0atERFRfWvSHhBtc4ntdhPlPvhVqWiREoNvH2+O/9EnsRPLK1kzRdM6sREGfQ+duXthXz9zPhM4mKia181I/Ut5XgIP9Xk9Mg9CMEUVsJ/sDHCZxo+sCYDIDl2j2mgpbwtZCSgmcVI+o0SeGJRF4SB32kN0Umy9+sQZ0sPyUTpA5phVYCUqV2i7rwFTErImpgL2FTAycAVH9Z6tybzReAGuKJPd7M9fxliFCsjBqv36vnlvFvZjfieIveBpYrGDi7EqpZKOWh4zu3QHbMLyHiVBQq/5dkuUa4Hmn26GPOxG0g1XYesFInV1AeoVlQi8HAZYslq19aUtIzwTUPVx/XEKIZYgB0723LmBRmGd3Wt6iVTwvJN1pqC+sGaL3xyhzmbE9T/hNycynOZiVuRIQX1Y3rwQGF3BuHT6B14fKBfb7mAc0MSuMuamrHYQu3JQU0PTcV70EfQOTehpc2P0GqnKGrcm/V5twOh6pSQoTDSUdYp4Emcy0HRcqYpPCwLJN1xsfcU7S5gk9TAjwsJr6JEVyV7mC0DHZnwCtEJrtJ7zMqg6aUCKOh7Oe1/si5pa2LtXU2JDXIaf7onbRg8k8arcfClTcO7D4rAnaJbemrKwhyIbqu1viUtEdaHKMY8Wy2ZsgNrYO8BDMPP0Bo1i0BNZLSFGenW1H0AgGioeqdeFrwOn+TaIxnxnWyfO/JMVWJFwP9FoJSMw35lGhWCp10BpLha75Z7fwkr8S6bm+0ykK02VCDPIct3tmcUYJvNKJ2Lat84YCtE75ovoaiBv52/DamHadBKV50xFXvDTXJV89YdaUNk65tmkl9DKK8/XSJ7rgoyGe0bkMIuU3fpuQhQ4QU9ZEZi6qXaox1lAnsPtNxjkUfSZda0/05ZIIDhygdK85G+bCEmgEWO43cQDnMOUevY27mcgF7HHWPMpF1vbkW6JgxA2EHZ59mZP8+BWEIW2VV6aP99v96BWICWn90ekkdurFjhk3+9CMQSCrCYKtTeMI2vR6ZRgN5eptO4OjMNc9E0gGPe2/8oJmYav4VaRFwETXxxY6nQIO+KvkmngP/NufyEUGL0+jozoDBwd0sqiqs5Vo6uolrAF3WYv1N2W+hAa+nIJr71j/uBmoTIhZSb1/fp292Sw42eaanpC3HDbBoiVxFNao/f4fNaFkCINetN63qSoReXRER+LaM0u37ePJKhSbl/LpyQ3med9pZEbaSUOOk9+p/oJSzXlNIaR3S7L7XOdozKD0voxxSDEnyGq+9AYLT62vRBb6my3P7gD3Nq5PDDCykT7Ui9F8aRzxykzd2aOYKD1s8NsaZ3SMI0gSTkcqvRmK+KIeDHT13fU84L0oNSTtmMxF9J5RlqnQ282fZG4ETwtbdBqk3Rrx9vqJikbFVFj101OhWSDMCu0nt/OETOk0GlUwpVbd1flLDuQHtNHb9sO/GC41D0EOXmEws3c0FfRUkERfvEbJqvYonI3Ve0n9kctoZMjndaPqgQetFC1mzGAFRF9Iv3wek5M4AnEV2mepmU4u6fFtzG/vQKdDY1Xyp5LRakCgJnc0ptqDYbyLqLvbmWkgSUx4i/bdC0XFjAxAYzVZbObvSgUuQ2Js0arEJJ6Crk4olxz4ZwvbgcNuopbykcdASeUcmqqdcU2kmKAZ1rnObpp8fLXEZRaatW3X7L3sIS5xIg8Ho7oTst7GdpEOLT2zij/UYlQYi3mIE9PNLek35e8s4ltdaXO0pDodyii8ph4H1dJqWiYFUDZnv4wlRPbxgvpeGZMVmnP3NQOfeUkwL8WYT8xvUwRUVQV6Vm3xTtDZOELMLfoqG9GLpqJzffuWe4thKeFy9tOMXpNlJ+CqqFCuCLp7MwlyaIxdhEGyEwNy4GjyCE/kVHAVvVJI5EMJYifGgt74985wgq+FlPAD0KYpit5o5hCvGe0R5VX5A15b0ApRqt8kbaI0EM5BSWGt+PH00K/1nRA2ieFNv71cK339MlzDCNBCCx5NhpDLEUszAN+EXV5dk0KGBxvIEmYCOPxEz3QqPdKxe7ZTt+h+leOAUiAvqvrTAGhsVQfX+RAi+WbTYjLRXESEATFHlbh4ENJRyECUQ4uFbObOIPVE5IV6+Ams4FVVhuv4Jvd/dUpqBXdDdUQFXcyYo8o5GW0nIAg80Nkv2N1pxvY3Es4y8grWscnAtBw+iUW6Jn/sLUsO9eZQGXoIihoLliEWCxljjSL7r1R94ta0LZmvoM4dbPFBSAZet4FKRbr9RMWolfXvWpUk5E7q6aZkTKYypFLFM0Lh1pPzEeU7WrWhGVV3xEpc1XQJbItRvP4Pp+85nyIXxH4GjD0OZSnz6h4jvmUNQK/iLERkKFBVrfjqRfKfmPBiEpzS4g40oALjaiscRISxWj4OXLha6YL2Yy8VJXwp4hfIDLEvL2kpij+t4zygkvPwHwVhdvVtcRXkRGVky25d2urhcyipPtXjktOF3Idi/Zp4HqZDhgplOAjGKLpl565Ie93WIqZiRjH/kzgAAALz6ulJVdSBLIGQU04/DbDeXk4AUFb5ojMdOdHUWlwpFB03JeOcKCYjukrKipAroraCKxLuuEPczpvoxHsm6Kz6WqoRkoQTy6NO+KV7TfFpIVxSsHaqpeLaWc5A4WB7xXtVbqzUWss967Vo27d8oJz6nCSsxNsdfMKV98QkHlYZt/Rjvlp0ul0sqLqoz6alP5FRDb1utDo9xxURgw0JNmtZfNd+odBall1YcTB28WhD56eJ7c+N+pVxQra+/RkFMbv7oo7Tx3Vm42fiBry4zEl2dtvdObo1lbV6eytsZx/1zwLd6ythQZGZ4NtRev56jI+awtwBV7q3eLK4h0YVUbDJSBlqpWcfBMst6sJ+qpI4ljEJymvaMyxsSHld3G7RxPiZKNojxj90kGzqDekyO8mVT0pA+1/mYhDTxb1HConT7f6trAbhd7Cl73QEfNGIVUqXi92ufNeYRlyL+aAfmmOOqRspeFncVG0CzFxd6RDVjajKlunskCGxvRt3VcLuUd7qL+0X7sdCfiLvQK4z31b5vHzZYCWwrd+kXrkPELonNuNl9fSDkihxaz+gJZ+Y7uI95NhjcXYMuggr1DiI1DU8kSDi/VaEIy0q4o7A5RUb6blAMtVZ8gggQY0d7pDdtuPj9tqXAafHlXk0tGrZuD/4Cp5EscZ2/OMc0RU8OlkvTe7S+4OVeZkTps6ki3fqR8PPS7q05v+kLGLsqgHUBl1F4x9TcpeVShhajXSUcM+9X0DoBzZ6/FLA+zrMQKx0YNxNR9lKmKPY2gw0DL3SgEDqs4w+FATUMJBhSPhwS3dhh5KWddvO4GuI6Riso5Fae0FgundNwn6iIggTHYNFvrI0VcMxRkrmroG9KdBQS3pt1Q7mz3CvNsu57X27+o4CiASmzOJ+a9BNwh5rHLasOelixc2D/iIjjNGVPlfDYREEWK+pAppGZk8xXvXKau4SzwCYCU7EXOnmPoq3mifYh2xtCP1ANgXXk7ExonPZAj3qdztenVLp0PSpqbFztALXQhpIRMixDz7MJ3D8RQ0cJQ55eXhVU7SFiEWVN+0yaU5DjkPQzEt9zrSETXEsBGvFPzkBMxIZBWqxp5uyQmHcKUEOsD2SdmsSmv8i61ZKDdkHG/IsZGUUulagMzLJ2Yohp3YaXFAZ+x6qN5pGqoAQkrpryiJRWCXJ8U8MQ5LPXQA/28PyzEwlJZDb1U04dkElTWj1RPZE2fuLSz7f22VMMktozQaeal8EeQtScC2eoxKaiq0OAoJX043xmTG6ApLs5YmC26irlBuo17/GU5aS+7GR+uLsJsS7WtakhvScH5PZz19++MpRAAO4W+LsN3ru+fGNymbpBFAF6N1GFFScgMdDAhSUDwFHZRaQN31LXAs0MEuIiZfObQ6v28pKy4UXoGkwKEaxJMzjYc3tF1mLfoz7niSGD2lSn98bIcILHFt3VekEiykM9iUPBT0Qng6vDtk0U5aS9PTk7DfLw2CC1N/HQa5nQ+yxFMnlSjXsMhwGvI4xROdrkcmOJoPouhirCteDtN7emGAr1BnrcDdN5I/J2CkhOrqYQgVtNIzFXl2I6aHsYjuLjNM96WQvV2nIOhOlYPn0FSQYt6E6k4bhAuLFZN4chSlkzm0NEmYE+O35nk3v0rI2prkDMVS1jcfrRLbHZ30/+NccpqBZhrDxlMaKfb+QeJf9uK90FNgSpbbEjba9MpGDJfbFasBtzAOszBXC74Oziu79J7WMwtxRweCE1OzeLIapaYo0f8o22nD+bLAgyBjChnoj7A1ZiDMwuMUbUDXNi/y6fpzD92noCehBFz8ji5UkJxAxri62otmx+p9NiGnuhNXY/jd+JI2brYXu4MI/zAxAEQ6wGE1mlG+JEEK4t4NVMroYLVogGFkVw4c6I/sEHvVLGU3vIdaID9SCcC719ICFcb+3wm3xkKpjePL1Tabyi4JLmNX7q+Z1rewLJ3STxbPY0Lq3Vjb59aXT6ynLkMNufuC+KfaleuqVrdlFaAKSiK9nfygoUgRoU5vQ0cd6CQM7rdm37bd8s6qg2XBHAMiNi9feaDWiCklUNAa/IZVgfEKJZeHafwARUQiwgQPDGNnzms5NOGgf2DO1irGDvjUu4Z5zXj6WJcx/XmT7L0y4mhmcxIS5GiVi3O1n2h+9SLwGp17cT2mTPp4yqVs6aU8rgJv5NBTVGisxkwHG3GPE5vRRWe5IPv1EuxOOTBzr5y4S1Fdr/4Xy6bU5P5kSyd3oE6Te86pYxQ6Bb7I+TpdchKmCAuMAQRAx4O9jhvmWOP3yhTGWhdZPbwLUAB+WAjjta2/5sQhZhaZvjQRUEKNQtzsZ22D1PgQGarMW/55kygQm2HilSYSaTi/YcT3I5m0Xh5FqnY/+t5iGCWk/QeqXj/9hClnkYqev1va4efmg9P40ikwoHOjNMgIxUo4y9qDR840Y4njOY1wySmJ3rLenYhldDUnu4iFWY5Ki3+DyIVA/F3Kszh0EMSqE0j8e9kdaBcC0QqxtVfHKkQ+9+K8DbzXbwoUlGQKRKn3EYb7gFXM0xulp+FrqiliD/oQ7FZf2fQZEToqgAWNHXVuAtMu9ORCnMkyhFmtFSkwowQOzvQgHEKHD87wC7mYkZa0qC0aOLQsh9GNpywRkyi2DJf/XC1uRxE38MTJ3dxb1QaIoDmc01qH6nH3uCAvNmcomUMy97PIqccNQ9xoYkIvPDp6j8WmoDq9NBTw1FOd5FLh0pACgLC0LiWP6jQRADKkJrDEety8eE+CFuG+Xfm5qVZsLZrynPGOi41T3ux1SOV/Nx0KAXQk1xKimpnKYxnoahec+dHox1inPUQji1HDuiSaMfV+2eM2pD3YMe5MAcyZ8LVMJV9L8zlDGAvdnJTtEyO5luExF2pLbiwFPgtQhL0dy6LUr9FSNRKuJu6C5DE8RQuCpDEU7vAamEHPNiC78jdl8t2pFb/X8lORNal+Xdm7gfxgJFrxJ2ffuiERjPHoxuzWVzKG3KoIWRxY06u5tOG6RaJWEcsrnm1mnu2vtXVJnd9oCVDJagAcmncCUPGSnZBjnx2FwmeqEhwRazp5C7eUlZ7Q5i5qbWw4RIRdDnM57AcLzG6ZV5pdr4nlwZM9pGOM1v7A5lznFpxxZycDtsIKreYJzt7QcwEbZSP3JELJdAuZALs4fF0f712VJ0sGq600hR1OjX2MZA56ACg1ee2p+ZS14H4U3sd5kj9vOsDhp24QCcbpP4Gi3j58Lkpb9wslU41wAglb8YJUViLPT3NI6NjSsw1BQPEQW4ZOnkY+ObpUMS7BNvjGkq0R/qlbhLi/YSIrhsjGdc11In/mX2azHmf37Yl+xOJ5q1RDX1PZX6JrgzBaVoKpAi5ltYVvVGko4LIcdDcsYzXJu6tt0lvM87WUGnDIiVmt+RP6rkz9T7v9cQunzXMCp6Ma9W0ZIU3FEfu3UlH9njhYddSaXOOpmDXkDIt/KlnviFh1wCUowf+SrbYa930UuKDi/0ehCkEo637HXviqk0bsASjPxDvwyBUXqD4ibmmoIi/MSpA3G7UmTlFS3dp7lnx87GpElnkxsvk9Y5Ru41eH3ghVeN+el3IJ0ZNd+gOy0BHFckiob75pmm5AlmHSFVSS339SonqCFet5qN7fDpeC8coOD1bDs1NXDO03FEL5UrKIKNjTvpYv26pdmwpij1krZ72zYbqipDRWSDN2ILyngq6/eSkaZnqECNieuViN9Ivvgc9F8TG2T3gIKLR7jyEdponT8eFmlhoCc3gRtoNemfdk7A0RY5Kf4BCDMQrn28lJUW8poxmVIwX29SOLZQU92ZwdnZ/n44nu5uT8l2cfbG7LrAuzb4PA/hyIH4hdUNIyJR/pzVE08wA/IFWsx6RQ5UR40GslqTXSlXTAPujiS2tiFfkw2dz1Tu11v+zprSoKKMafHBq5L8YJQqv3/WnhIF2S2V8euCjtRlrPG/W2xsKWAbAvC3qwTl5K7ZWDujTMe4Z1aq8B65aLU2PzNVwiJWXAUE2Ev9JWvKupNmSWRSEJH9EM9I+kymQToy8OLuJhtJNRbhT36nXpfZVwM/zrsz445Yy5OHV5tldfOFwg5pD2+jpcvmnTmTFtzTjjYMiP2vGO7eKYi5VRf3pYaE1KjouoCGy2qsvLFyZ816vlnqBgvkvvKxF9PYdX84sNNj2Dq051LS3l6kWucti6L0d8RNZvBiihwU/EP/MtVYVzkQ/8wPxBbWL6BSYW9KzXrDAIx7fCwTtQEYZDbsabwfFPxD7X39YkYEa4ZFc1HI5RKAqG92bd6r13nExnibGR/ZFUT+T0Mzi1BZN+3X9lTLm5ZzkmDR3bbY/kjmbAa/Sasu+UXIayMPodaNGpgq9RQ7IfmnaJdCyVEWTBp8V2QOb1p5qymqpHK1c4Yzek+O4j08U/oh4D+K0WH1EtwuLhXC3s8vwfPP6/EzmHeYcm1frveOarQAZUk/4G9VqBZQA/hhpz6+1o0m2GKLeYApXB2iSaCQyLhSV9JdFdmxCkS3lf+9xHaMioro8mD2sY1PEHKpjmUzUXIjqKD5hrGrUXSyIwcIHF/fY20C/1LoxtNCRFfS4LChjROJI1KMeujCeqwdKQAkcd+vrM1nlIO6cz3rOFIQlIA7FvQqaeha90mvNKDWs8NgHuvOdvYEQ1GqYchMN44KWITYVn9SIr1//g0RQRAdBf/7mzMTaDrhCn+jj88tmfUvKpiIar5nxA99IAC9XumQbaDdU+jOKxJHXrlmR6hjSC7Rr01vNALkcRBQgYeTf7sEvqFCqGJC5eVvfaHeRyS+kCRgrQmbTYRn13uPOIWc3UFIR5+R6iee41Lv1Cwlk3goSJKZL5d4H5SK0gAjOiQmbc+0Lk0P8Zkp5/gpAlNqC6M0w2j1ZE+3FFcnjGrk+1m1VLNosz2e61NXQo9rWjZRUqNn11OAwMgKdvylS1A0LfSLfPnPHdp6OebPgxO9i4nWc6Jque2rWezPszuaFjHUUuSkj330joxUuiO0zUD5tqbyRjO71uV5+KIDNbi47M95OKgwOrNc6LvRPCu5XHPdcfTwlhc6kx4jt4ORQB8pbKmkWKTEhBjXfzcMiSJJFFv2EyFA8i7hItsmNPEuBxwPJtsaitueWhHBvYqyU4TRf7jYLUFDJr4IDtOqUbMtjWEKPVTkamxhZ+WZoT0lYiF8foGb3lBc5BaLrUwPE8pmZmrm6dAktgYepLiICB7ilQa7UhOpPShdkJ1uD9K8pKYnIhe6LteWQB2IWkKub5UE4YaDeLtyP3sXddvExoaJ0O4pUW8V70nggZskDgAAYaBY9B4Pk2dSSHdn06zNXPA9gxAPpLutm+/SFEpF4ogyK6b5RAajYCroo+/Ge3FDFkjJjX/I4KtX83DaYBbEOx8k9IyPBzgnv5gvOE32JkFEcjl6whRTH2EGOa1YMe/NySYjAoJLNxvfu8mxDBFQdWlRgvNOboSHCeSscLVngo42DM4XMgPzNQqpp19w7ISIGHjBnIzXVEMEg/6P0wpmR+o4zcwEMl8R7H3fsK2fohpVv3Q8YV81576L5cyk1KOrbzfaI2DAj0I7NITlF+CeJrpNz6Ns2pd2QNWvwh/V8Vzx0LTSy6CHn35oqn8gRnT0kiyebXdTUbyh653ARY2wpmZHugSzCtbZr2YH2iVktLJeO+jfSfqMA1lqvAXCKlor3ZZRv2ahIKRS+fqil4Ca8EfMovUVMZ4AGjuPeUS58zejmFDXx0/bUW5161EBrdCRQj+TPL+sXKs/g7fVZ8xbbb1Jm7rPaMy6M0CtXQvVejUy9mWe/yjthPc6atatQkOxF8in67YZrw5tgBBTN31SotaMmtIAGR+Oucf1v4MEEa33TzHZPJYWiEVx3fwbir4xmD2JUluj1xaRqTA1S7IFvrqd9YVIoetzm7Pc7RrWEigei0420Z2Dh6S0QM9C+cCn9cFBCbkFR35Ng4bkBr2xc6iOLm5BtaXrWjBhKvU0RTneg3TCVyymvvBjzWdFyHmBGrlJ3jo9s1mmqDmAyO9y9kWqWq719Qd3bSP0nWe3tROSVyw/XALAxt65jBlo2m9zmPY7SyBt0exkxfkTDZc2XW66uGlCzIRe9aZyNi4foUoFXNlJzNi7Kcpx4wXrjuOSdns+Gcodx26ik4SKL9mkmCA5CzyykDQWLtG513kwibbIWgbygiVeXPWR4JA/YOVbuL1TP0yBzaCJRzPCd680TiegtQhQiZUJsrrdUEhJsuVqja+MSBqDd09LsHcdG9MzKZbxzUCWcZr7+kOr8O7oJ9VJqIwz4cuQ7DGTgVNKicW8LiLRMv8P1r01W/FubhTsGWuookU6e+90faKkAWCrivPhSFC11CUJGqlE3WC47SH0ABYuv8+9MKovXC29JwgrOqxM8ClosUt714vz9TzUUkPkwBk9FTwFn34/fnIIsFs/cWXt6CidggMzyFMT0rTlOvky33+59HztCy4SUQ7iYev+24BUIkb/pV5jW28N7WX+Qj8MqOGQMD7T2HrGenAEH+Bk67qbPw6i/Mw+DqE3y1saTW/cDpYMBUCZzP7V11M4haGvd8A0yZRg4y8Hm6cbN0NG4qFPqcDu+ou9K2OVhXA7HKOzoEQo6fOdDmFSwyqrYGHX4zn4+5qyOUEF71//O+jsHWECOy9D5Q5zTOH5nqiPMuTz21NCZYqR9Yi4merYleAEj7QN5M1rC4/NIe0tCQBXfUlLjcniYveuYLXrPLwbEzGgJaNups5uISLPw2Cw6vgS1llcKbgJ9Onz2eh9e5voBD9PVozXo7rfxnwgUB3M7NfP+4Sve1k54Lb8aKD8Erllksk5/px+FoSHids/hOdTxOwclcd7wz0DGSWoxHEQc4kPi3/qgiH/nsTStP7KLHwDTtNEc28VL0TTTlM8uhNO08dRSDKsx9niaTm8ohYG8B9RMTRG7TOncQ8sPjya8zumxz+evdvdDbJ2BmHE/ro64HzYY9Z0LEcv37kc5TMdc6H0ktZSpZjEL3kfWe/hAxaa695GTouXijjvvY75vl8JW7rwPsPJ043jv42rvfUAaDct4r+Y95n4cfsrKdkM7IOM05likvfFC9OEDk1gERO3R9zIskEUiNUixa77pFXzI6pPZnrtSnJpBv7cZZ7CuCFL3kMcwbsR3SkWFnhvp9cX4nTE1xORyombimU2kOgigssUXm65ObiLnkohP6mNsxy4H4ZU4163u8Wp+wC+JYr6g7a+Pom/y+5c+4Je0iL/ev/NBvwTlkmE6nw/6JX6V45HvfMAvaanCL5l+h/RLysqXlNQcaL8ECTBZ0T6QrdmyL1nM2YGWQ0aNQEa1auM+cJDAUaloWzI/AKOci6X3VtvrZ8fFvFLvraJ/POq6R9rjzkVdicFj3dumXf2TXAsD6H6fUeD19mWyXeObb3Gg/Bi66t63iNPxLwaf3nsW0Q2ruMivaAPpqetnjnkVeSD9nTLidz5FMsOqP+pRjCfwYX9isgjG0594E6cWQbXGmvgSkxlcAs2vDs8VDpl/3/1Q5i8rSb0P4i6BaBnAwsWa64GORwcKvcEEWGYY8+Vu85adYpaxiYprQX3gcbPhov8NkEzdmx0n8MSWRATrqyL+RFplydrm1a5tyAza3AFZx3FfnzcsGERA24aR+pZs6FlcbnrFFBideQNo04f1QmbjhlZaUvvFwZz1flQZpVPHRz5f84tunsLginYh87iiKxz6NCnG/LzZbh5vNtM3VoRlU8JbSldv7//0fiONEzYVT+ANPDe8y5SyCsyH+rHZUq/eP9Q37+e/nl+Gp9KTH6hhJesQM3qYyfUvkxt6krbBsXTi04+0FzaMjlfikSF0OcdR/vsz9UD61pR1+M71UlI/EHZaCd6MZKjdZp81a6p+GNVcP1NlHfDqY3PJqzlTWX8lAnq1ZUW73j5QSDnQ5dnpkRc2C867nHBTm0UiGFgHtG07npBYs+n9pJ81w54WciIukmtq2+k8FpRyZKumMkQG70mM++RS0DxHoZyJsyjOXtO0XIJYzyopoerzI2EhkX5ofZxOnE5VRRVC7h3AxqG/MvksKEQQaaU3/np9c/zCzFAl4USEpMk5oDNYT8hF+ciOT+VUQb7t7tX2+WX9aSGDOuTecTO90dFFcci9draKtzWlpGBhQxKp5lqpZkr6dbu55fAg0T0J/Q6m1Dd9qVwP31gD9MGFC0a8wRdE1qaUn18fmdIPg9w0awGhM6VeQB4IQO3zZRwRGWWGapSRxTpMxPGYubGThI/HYT+R8CbNiT08HOyGrOu0wAoW12dK+yeFoA7smXzgfb4dCjSGRVurcZOeqcJO5EmEPJJ+ppw8kcspl+Gqrslap5rVbEUpUWgqstIWw3hpzmizaWEXILcTsLamtKtLpJJxgKTwu5Si/2fNOWcOj7xirk9pGXwFuHXN4VVpSukpmYZGQQg4Tynv2eKqWmsZVvpI2mgRGIpTQgh9YqHokdsBIKa0X5iFliLSyNaR8umFS/JF+wjnBtI/qQCyh8Y4LNXwVZvWrnxDBHx+MKflNaoga8kDDVUrg/rS3EJzw2k+32we19sFkY0UJHQgHTeWktjJ7187FpnPzAOfAdw3UD6zVaby98i2FIomcHBFdvpxpZvv6y/na2l3aLJ5vJxfH6gIn0NSx0wiMEYhUM6tDcMySWEN6Dvh2mHQVy4kB9vKZn/xgSYxFmpJzV/OuqhPLU4x7l8UYROL35Zxoc8/8cV/UMDCiS2/xzc2lCwKUZx1FPwoaspZMHh4bxbwxIqclb0FkBDvtIbWbbg64tInNe6h4tEsAJPnZnPkZm10hYbtMHAj7V9UPWwRDS7Whxlpv1JKrqGUzsY8DGyub8jqDkBTOK+n/flp+2UBUgW9C8OMQbjqv7gqPrSiaKm735vWifldFXs8s43qcol64PcQgiEedGyKFIOYI8841Vc9NhUlrX4VGloej7Rk5KIVRBtrUjvGlQ32ehCnL9TjzQOJI1ujTVoMvHL9IHztPWH0qikwenHd/cpXzZ6UdoETLaytOWzz/NNlTn9EPP+tGfLzAr6IF/lh0aFvJHt6XFP9DSLw+8QTVuRfFuBJHJrX5HygMjRgL2roigNY7jjkJ0bSZtH9tUILD7QbqqpCLFbRTUXRbpcwAyFmndCYke7rT6SUDahMHwY1158ot6mjDuQ6O51pAMucS2GIrbmqiF+YNARxTm2Znu/VBS8k4rLFaEtQG/byI5k/EIKFYhk27IbF+c4l6+26W6O7wR6pgQCWslHEh76GFLSUBZp01bQcpmWT+x/c7CLfPP8kzEJCNwXY1D7rjScb+KDqsQDPetx6KlK7CyvAgRiG/vGyZ5kgbBct90CwK5gOYh0PVI/PHGSe2BI+1xqGQWWxrxw5oIpdhoYaRp+IXbPg7Au3Rk1+8qSPZBXGYnFUAz3bwgdoeDH44vT0uUZgFkI4HWj3uDW/vS4gPSUQ+qIGXVONSxJ6l9WcLmESg0ygKsbm/Jh+Ip96M0qv1UpJ4V3zqrVUghr7/YDNUi+umCH5ZwdMdWlJeLELerdeqKx8Ye0CjTWQrqiYZu6Pdllt2M9/scBzrkbN06SNPZEiHg+li1fCzAuAc0HLt5F+QQqJ/eRDrKLrBiruQXdnRXk14pqKFiJfJOECD7TfyDLV0gpeL46sdAm0Bo1pfNG0t9S7FhIZrA3tQLx7Cnz6urDLrWMBuKJGvWFfemzxs526uyeB9JOcb2VGPoI0h27LXi33jszlFGsgzsZdPz4+MWaMiEvRjl7zFuVxCn/4Fpwe+xP1WOyALVaaot2Qj0bOWqjkYb9uKHzXKi567LHaYeA/KWHbARtC4CZttJPssyt6s7ZUoxfkGUYXSr78KvaXp4awk9quR1JQR48Kcy16mNcn5HMAzUiJvLun7Tt7/ff/BzSYxZ4NCmVuZHN0cmVhbQplbmRvYmoKNzcgMCBvYmoKPDwKL0xlbmd0aCA4MgovU3VidHlwZSAvRm9ybQovT0MgMTA2IDAgUgovRmlsdGVyIC9GbGF0ZURlY29kZQovUGllY2VJbmZvIDw8Ci9BREJFX0NvbXBvdW5kVHlwZSA8PAovUHJpdmF0ZSAvRm9vdGVyCi9MYXN0TW9kaWZpZWQgKEQ6MjAwNjA4MTAxMzM0MjUtMDMnMDAnKQo+Pgo+PgovTWF0cml4IFsxLjAgMC4wIDAuMCAxLjAgMC4wIDAuMF0KL1Jlc291cmNlcyA8PAovRm9udCA8PAovVFQwIDEwNyAwIFIKPj4KL1Byb2NTZXQgWy9QREYgL1RleHRdCj4+Ci9CQm94IFstNi42NzIgLTkuNjgwMDUgNi42NzIgLTAuNjk2MDQ1XQovTGFzdE1vZGlmaWVkIChEOjIwMDYwODEwMTMzNDI1LTAzJzAwJykKL0Zvcm1UeXBlIDEKPj4Kc3RyZWFtDQpIiTJQSOc1UMhU4HUK4dUPCTFQMFQISQOKhCQrAIlyIKEQUqxgaACiq0BCRQoWQMoASOqa6ZmZGynoWiiE5PJqGJmZaYZk8bqG8AIEGADj6xGODQplbmRzdHJlYW0KZW5kb2JqCjc4IDAgb2JqCjw8Ci9MZW5ndGggNjcKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQpIiSrk1XfLNVBwyecN5C3kNVQwAEJDBSNLcz0zYwsDAwNTBRNTPTMgy9TYXCE5l1ffPdhAIb0YpMsQogsgwADT0g43DQplbmRzdHJlYW0KZW5kb2JqCjc5IDAgb2JqCjw8Ci9MZW5ndGggMTMwNwovRmlsdGVyIC9GbGF0ZURlY29kZQovQml0c1BlckNvbXBvbmVudCA4Ci9Db2xvclNwYWNlIFsvSW5kZXhlZCAvRGV2aWNlUkdCIDI1NSAxMDQgMCBSXQovV2lkdGggNzQKL0hlaWdodCAxMDUKPj4Kc3RyZWFtDQpIiexXiZHjMAxTP+yH/bAf9uN2DgDlxLJl59u9mZuL9klsyxJFEiC4LN/xHTU8WkZrbs5/FmaGL+74z7EseN4cd+o6ed9wx9PwinneVkrDQyyVZ1th8bD0CC4ehmtM93QsevXar45sRnsimg2HOQy4JPGDQ8NjHpeL7p/Ols08fRT0f9AeRGLBv4T3vYXTu7FdPHEnOI1WYVLyi9E+f+TPyeNcKgqR90MErnjp2EqpkeEZcFdjzGgQjTzZi6HFc5ov62AYbZ7PvbY36q9Ft0/TfyxlYB3d/DdTEAF27RoMLR0JP9KvQpr1WfnEGZPhF4CBqyDG4G3LEFSVLokQ4L4zx/HNeTVbVySQtRDtIBu0iiG2WBOv0iQze5rMsJA0gSjHZ3BTj37IJNr2+8IeU4YFLYtt7o4eyM3n9ATLmiq5GAwcwdKIEhqBvQhospxwQ5y9MBSs06yvGVibSITvRC484CtbDKMDsx/nLCf2hJLD93Ew5ZQQhjTxyK3HhW7Goo7JbCKClRDHQ8dyj0bmQxxPrXniDeYRg1VlKnq2u9KLxjvSEVFlzkfS4c9snsdb22cPOIaOMzqxnCQ+bFVL+AvXWMHa0tbPbjPnbz3eRKcFYn5L0riqaxNnavEKQWO9NvpAfMEs257IiS9TkaYxztgCfrcJxglcXlwhgtCiuOQLl+6aPNvnXDx8ZzJgQerYYVVSVplhhM8uM11HlkQp2UI3cSoExYKvppOwAIoOu09VOwc/qYxjgxRM4eDRaO9ry4zKPDlbwiheT+C/OhDjpWPXlJCVf/e6klae5gMzgamfl7/T08X8EghgRQlJOW5TFUzpGiOrGLUTQ5VFL62CKI8Sbd6FzJqsZ06OYqNIcbCrfgZlJcnhpRoeHVMhWeeibKKQhwFYh7kDFxw3OTLfyDMhDqDYdWHOWO3IVwc+NSk6imu4RZmrYtMKGvd5Bwv2KyGzsxQGNyVbNZVhSvdscxU2Hx0Haw6lJB/8rXRBrlFFuywm1bGjEHwZFzL2SyFRHBhi6YfmhdRWgmRzaGKSySPZQD5toltyHzKM7OvyZC0kb7IaZ6t+ZuQCifqQsqXV1oOEnLLBTw9OIiqV1rWDxukTaBN2y8r+kEJIldqHin1cCUx/XuN+ZazV9WKKFK3qn0llXq+3nDs0k/uU4IfsyfOVUrpE2GWlm+paso+yXxkjbTqZpl1wnxzC/c+aGlY9qI0W0pdnlqntcdGS6mwecSAcpjo95mTQ+pj7V+qPIkcGHJCOt7KmdImYO+07DCJHIqPQmS8l3s0e7hUp2sFH0HspD1KRiLFK/0hdGyvEXquoQlf9LjSotuqOncSxXjxwpkrIafCZRa/B66qK/GDTyVrTS6VTZJgaoH2fULi7NL+Hob6tXcK5pU8cgVRG7RTq3cJ3PYIkhPX6LbSfrzT8VZqME3a4O1r4gsvVbkqKBDtJoj5WnmQSWHUy/hx3qqpjlVvj9VHwO+6WFXdXOX5tVsddCndZuOuDWqYKGNsDKw5+B+LsFchhphXJTlo+tjWYmk6yoNdXqQ1LYX/j4orq2sWu/LU1ST1JKyGprDJVZRIGy/Ibxs9HqpWUUHCJCll/sj5VpXR/XBeyz8fT9JS9Pfple4bBsJpan1vxj/ctKJ66A2mAlNrdakOuKOX5rSQePkPtbahV8epzto3NWzBOSs3WEfYJFywqv/2sOy7QRhRFRNTtxgdbrSJjc/kd3/Evj1/n9v9q/BkAUPj0aw0KZW5kc3RyZWFtCmVuZG9iago4MCAwIG9iago8PAovTGVuZ3RoIDE3MjA5Ci9TdWJ0eXBlIC9Gb3JtCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9NYXRyaXggWzEuMCAwLjAgMC4wIDEuMCAwLjAgMC4wXQovUmVzb3VyY2VzIDExNSAwIFIKL1R5cGUgL1hPYmplY3QKL0JCb3ggWzAgMCA1OTUuMjc2IDg0MS44OV0KL0Zvcm1UeXBlIDEKPj4Kc3RyZWFtDQp42rW9SXMdx5Imuo9fgapNgWa8WTEPtbvV1te6N92vX8usNtqA4KGIEglQGCiyf337lwfAyfA8mfkl9J7JTAIpeGSEh4fPwx8X/+vij4t//+WiDi1na22+sPLP6U8pDKVVa+NFKXVwvtlw8cvXi3/9Rxzshbv45dPF5Z/3N+8ufvlPs7REzkN2LdTUL3H5OIJd/NdfZt+fLFX8ULJz1ing29+GJejJn5odUouxJNND/7fD/eE9Ae9cGlLMtZy+bgD/JwPr3dBiTU3t/HCCNcuwbcg2paxgGYy54AeXbdWwt8yeQxmsb6EpfD0ysNHKnnPVN3V/984QwG2wpeWqgD8+XR/Ofdso8OIGm2NQ0FfMtksbfPAhqCN/Z2BrGGq0M8o+3P9kztya/OyK3vWHq4fjPS+d1gtV1pqCBrze3rLxPgwCOYO9uv1IHNhH0LRNXr2H3w63h/urL8wKJQ6uOe/V9z/d3X8lcDZhR7kMOddn8LtPBJXkOPhWXK0K+OHnA4G5kofoq2teQT8evjKcKA41e/n8CXrE3OP908Mjw8omJ495KLEISxwZcR6sOTLiv/+4IRYqdgixeTyW6UKXd+MxzDpwrYMNzWWvgCOB/paHKk88NAX76yWBfZEAg7UBcqA/vrOvgkjukboM40IaXHUKlXIXFJsLQrbJ5xPweJFyjQx0KkMoeX6M/HwKc/nru38jFsoBctFauQifh2RTq8eF6is6Pt99IV7USNatpdQvdPnxgbjSmoYIonR6FyftYOl2TbeOcP/qz6xzOs3y5ZiexFzLkJvdYZ6Yq7EiN31JIgg62NO9ysPBYYUML/4UrcmNCzhREuR/PH8wy/u8/or/IVyuNrlkZ75eQIeJrbU4+euLLxf/W5SvVeUjiFBLp5VHOvtGqS3CYpqb7Gl+KYZSYAQfepXTlXx8UaHMqkohZ44+5H6dy7v3jFwPdSg2NgX7g3ynzQdnelBK64tyRm+TOvrl7wzShE8LKa+g/h2DtCQ6c87LqKeQl63QXYga84ywczkNNgnNEgdZ165EKRQduBm1jpPH9rzQP1HrVBEeZbofc4bdEQs1B40ecniyIbPA7rTyYuU0bh0rzMvyNo58oC1fMCOMvSAxiLqvqO3yWQYuMUnv41C8d0WBfTgw8s+LiRCyPGj1sP4npT7GIYeU9cP6xOAsiaCvW7gnkCYPNMPOWML81DBcNNB89vI+nKuaqxFCymdA/MWXZby8LNuC9TuZxFl93MZsdjMJga1DFLEdzhzF7GESCZK34igQeSm/+BiOTMJgoX9m1sluqClhP/069VW5IpmEICX52C/TsQizZhImuZbZHrY0Is28axlcKctnWdaITM/v4tCcMDx1mCeS3Xnvk9BGB3vSiE5KkLdVtKM0+YpSgy4mapDZowZ55wYnEkSf4BvFIdNQ4Alh7mL5sbsmLK/qHZxVhdbu1Ps6iCIU1H4uGVeUEUC40VJRwD+oVx7T0ELyE2oyR43mgmK8gn3RhhewaLhX7pM8qhrm60wZFiMHqmgULqqHccmYK+DarbjloywzLNMzPmF3cheaJH+9dJW5SjF3gotW0wGFxtEPIP/EC9GrxJIXCTBe5S+fb+ZSf2ow1sGJLmjTCY7Gm7DDIM8weQV7RSjipo6OC+8ULOOqqHkIaSTb/qx3Xyl7TswX66bAz9zr6vHwQDAPJ0JNmFRV8I+frx4ZBh6x+WhnOHtk1O9URLgnr799RTlxoV8UHzTWflKST6ymWma3RYm+Ilan6BP0TU+d1lVEQvVFwz4+XT3eMAhrTTTL2hT4HYMvCJjmffAKX+vvybsoyk9O+pOMIxICpcoV+TdcrwgC0YqEeUQFfLglHbjO5qxp45HV3muccZANZ3Usg4816LMyzwCiJ5U4o4qflLgpIrYEy+qkjLdRBIVYiUWUDr1peGvv7oVRmz2MWvhnreG0AsVzhURsDamDXifJKuagaOK+mCnMLRcnk0MGnHe6188HxuNhExBt+3N+Y1ikPLxQSu4hD/djLIDx4hZR7jyk0gT86vZ8xGhmc9RBDNH8emKzar517DUMLsM8mH72E8MgRQbL+wE5TzfMHFUUjmBt7I/6QHH0KgDWuv6gnKNctHpROsWg6nf8+oTMKleF8VAU+R8Y+1g4awjRlQ5yoDi5SOzaYv8AqEgxdHNbEI3qiYnRSBH4FM22R9Ld/W9XtzeUUprgpnP93f4fTu6J1SxWga3q27fv92mSWWSZf9atGCeQbLlZb0t5AdWUvPgGZJfRCk3WDvK3+7unb4w1KzqdaIQ5ddB/fqZ84gEKcMtmCnpHetNLiOAzE0hOgwSDi6WHpALaHian8OQO8usq+x+D97GE7oDUM4fDO+Wa+31+IN3dLTSf9p9QGLCN8tUO8v6B4sBtcMWn7qCfr0g3co4Idk1BvzMHFTPGx+bc/oM2sUNiLnXprawmCJSYU3/Qa8r6ASt0ooxrAjJrKq0PQ3VCeh3Mkg5ttFdYtCT1MB8OlF6ZvOjuudX+ZX6i9DQhv+Rtv+NrhmnnArNUPerzRKQZttg5SSRyz/zur67/RjDsCdPF08nPkefDPWMPI3MguljaC7BhXbVFaLC6DIY9/ewNw7HlZsWYbKEDvWaiSFX0nepa6iDvD4wLVkjfhWYFZnpUsdw/UqlXonsUp7b8eEeFK8W6qkXfz+cDI52EjYrpbBUs6QH3rUYRTlNMPXHcUMyy7FNVXyV4muijorxY10Ge90LNEq7SkFL2uQO9IVmwKP6pPyrl16h5fOz9rV4xcrglQa+N/UGvKeYtcrjU2jpIzq1gK6IRLZq91IC4nlhjoUfugfJ35yGFVvrt/nikvNPByVd9cJryKacEwt4lw6PBPBvFipHsaFPP1SjIItzUFkURt4xLv0Djydkv8sMVlTvKR6vGE7PdMXsqlu6cP/dp6jEMae5IWONoYiGE6h2U0Fdg5pzVi2ZXYk0TOMqX4MagIGjwGc6QhOCsyGTrwMlev8j5EZBzgWDsCW7iRVhm9W0QXdCKwvwKRqllMQ62RXiWToi5Zp4nMjJqiLZNIJf0HKPzW3NB7GRCABxOa4GpFuPkkJRJICwzlQIn8gmnjPyEI7aGki92fc8IwQhSa55S2weWV5bq44TaDpQV4X1BNM7XzcuYMUp5xjW57jWSvlcI6jK5Co5BpjgEG/P0Lo6+ny1xkP1QbQzTIy55fvQhq4hM0aDajGsscze440LOZh+/mDC3EJBd+px3N8ZZiPxFJEImn7MCvz4vpHUCYxlCEN5R9ccPP5is3Kk6j2QFV57h/4PR5v0gzKflEygt+CAxo7wW/dnHw2sat1l39+Zg4dRW4HcMt7VuqCXkrIC/rDNbK6ZSKNCGOihKZbSi+LXg9RfXrVnnRC8uxelD3jD81oE3IEdaIYgyPsSKLhbm7BT2X/+RdicqH90r2Va11lH4U8p2hpoDv/6UxqYB78c7UoqIgIX8mezDTM/EbkmMdWETJfeoNZc3lE7tUeeRq6aEb4zK52EEVLhKO9jleIOZ+ynGzHm1wNUtVXgBn2lLafZ5Us9tqU7Rr6/x7paqvhATykd1AsPF0xAjEg1En34gMHfikkm0QyROzJ7E//5JPMschhgTwrzdOpQHJMuLtt5FZ3rYR65kwueKnL0e9sCUrIggLcmX5i+ID5tZuUV1zWUFyrjomx+y0GqJ6rwk4xiNV7Ekuy+bKcVtKNejJSr6gNr6FaNDyit3QVPLUrJSz7jlkZeYmv4spSp7ROVFJTT7qWv0vQdh+mco3OxjkC6JWYIqmX4XR/64ZWAUgIiBooC/kS6d0dG3H3UGRXRZ1D6nCfUT6dcJWbZ9An6ORHEhShgAYuFqQjtyZcO4ya0tzKFn6XxIaHPqjXRc+erDF8p5ngexfEJ5A9EiKSO5EIpma3eUYSHiIFWFO8MZXlmsGd9ifgvmRH9FaFgf+PH+6vZhhxc9yXOrdighiRY9RuEP9/cM1oofrBwcwqCDZ5zLBUGZlHLR376/+0qlS4gKE2vR4Fe3pKcjjFnBPfBysHmWM4GUbSdKUL8AF24e9dEglz7Bu6EdoqgpyfApzDbPyATUqRU7A75ihEINYgm0qEBXgs7KNdFE77OQ/h0898S8FVmWXFIY27ClPaR3i15/kmJL8qhLrvq4D2RuWRIhoomTYsQRWd0e6l53UpaLIf7Rlr+7rNcnh3KWkBTsBybVZMyz9E1/l/QgZXlMISkeMpBVFy2ggruHRRIvEbuswj5zYO73vCIOvgmdtsSXV/RjI3k4DTXYEEwPRkWiK0KPpXj1yZtV4x2F9ck1yNYO6oF47vBupOIEQn+R0JrD4EWHtE2ddN250UTpLFms2oszUBsaSKtiVnmnIJ8eKE8MqBf17D0wlWHsBEu5BX0t92yINUS5IZHcZj+SoSxHF2HGdbC3VKOIhOgLNNwO9tcQ8m9P91RzjYJA1xxtjipVHlVdNxo2HfT1r+8GKlFZOF2yM7z/QtbjNDdy2BfYkcN+viHDkanmFhdelNkoowlNjOezL2pRmLgytJSj497wTLcu2emT3t0eSEc7msZoHL96981GNkqIbcY9FsItZi4Sgi9BQ1/f3X68IUtDqi81Kfi/8Y50MHcxIasLz0ijNDuBaAJQ3An4OdTNEAjSU4uIQq+gP53PJjQzd3Qswj2Tgmb4mDwnm1JwQcGSuRNWtEp5kkGjjEwotMjh7z/87f7u29VvUKeZ7DnhRGKutxnSqfJu6Eyx6Q1QZkAWizPZ2eYpNb4kJO6BGXQ4e7gjO+akOLL+7sPXjAlQy5BDCPXsgZcZLtTSkjVxcd1qhOPGgJ5G/VlvD2weR6vWR/XpPymWK0ZHHZWYnjTuf6cq3UIeY9Qaz8M+41qsxSrq8bEk+O+3nKvUtipS+gR8tAJ+XK07DJsTtlsS9MTuq9++ECK9NbHnPapce2Am3RxaVBAFNSlYKgHRubFvFRwJHfDTw81G7gGaiUT9zdvfGCefGEuhRzFtABxbW7isYakOSOhKkUQL0FdEccs8Ekad0QWZ4eYtquH6736llL08IGNSU8aiN/ZMApjIh5IVPCXM4Zpszc5umSxKqzXHrPB1RfocSp6h65EKkkX4OnxQsIvidObILDaG9AYCGR2ZcTQoOtj/fPr42zrngDexthz1eQ9U8UYZAx2J2rKZR9OKLW+jjaMNbzPziJcVPQ8PhGvp2IWNyiG2Y9M5CJYX4K7fnVkv+xC1FLZLB8rkxiJjQUzkpEApkVLQOq3AJu9gN4rhRHILZcAmn39xu8tZdkffdgfL2QBjqkNziF910A8HWAGUkzYiL7dpPF9z2Wlj3h4iYB1xUOpwROVwdSsXbNZcwyXNN70sRo3i8NG5oFFGSYeCLHM4p/pNXz+S7R9zCrknE7NBXK76Qczbpq+YU9ybKNDOR42pOlXOUJOcEnKzx/4aL3+aKmciXWoLR+B//Ud4DTqVIW4vhPeRYe+Jvjdd6PL/PVw93N3eHDWRjTUcAlc+QRN5WePYHvXm8TMDnsXUbqMJ1W3hlwkrWoZtY/l1ULBKrJ8Qp8Abeqs5hUU5/Bex3MTm/Xzz7YGg29NtyIOXZxfbrJnPL0yKnykBHee8z/1Cl1dMKE5sqlhjqOEETFezIrEnupr1h78zWreoN8hgiwqW07otGiEGDfvxhsxOsEmekOmBKXYhRJDHEHkPe/308EA1xauDPHxhc+rMHynt2w1e3kvQt7zhfgdv9cKY1XG5NhgQ2tF5133TcLgSsrSitTe936kYM2ut1nJFx5EeWqTo3T3RoyxWsOX9N4xCBlHZQ1Hour7iOiS0ITV0sejx9YFM1G0FPT2JB3GuN431TWPriYrblTG1uCSKKmfhpJeChp59UPHNCQesboglnlfOdBwKGR8eTSF7qNtPTA86UxLKu0RxVuB/cuGoFuCiPcEeneiUS6ehdR40/v7Dn6nUeIssvlCKAqbaeDlUDlgNSimErg5F/uVMD/u40TAI6VANhRz6jn6jwjRwffkZoq65NAc4C6ptCvgDye5itrGp01J+huKB5BRn3zVUWZt31gUFe/iy+hDG7gxF5O/Z57NhJlRUZso70J+kWpe3PIjO7PQzOHwcSM9m9k7v+j+odwD+HFya0RXlYGiwuOvsHdySdcbC51I2q6xqBgVm46u+2Od4jtlOEbC5iMncQ3+n6oxhyaWa3kAbHsl8zc1o4+MT5feecHV01ncviv2vlCvnxcXgT9BTJ5LZLOgIPsFr1kNTxQlyWHTlzFF/mil4S2jsDaLuQKmubFCFHVpE9PhaJy20ZhRablV9kYv9e/RkaxpL13e3n+6ZdCyDSmcbkQyu8ExF8NP4/rM6L5c6gG4TSB1QH/5ANUYOCNjNLonJHkd70NZa1mR5RfYxDsgTNW9AllA0ml3q835eT4FxoOXqgr6fzjJf9TF4FzRp/Uo6rt3g8qhu9J/erKmE3t4aOnb1hHFFuYBDGFxFE4n+sxsNxgJSvuOM21CPANq+yODZM6K64CAF1tk2PyzleUJRR2ijBN5zWmHsLZU4O+wD1TV4wtiFS6fkWyI6y2R3TBptJyg6GJEzanNH50T3xY+MqoBOG2L3ZqeAqbSCsdrajpZ+B/yBSSsQNiOvvXgFy6iRTTZti7deYYvqPGxF883oadZ/d50oIAyyz6Xp3X6nMsEcMtDmwFynDVSYNl/UWSlV3Y+DUGaU8ZPxLYSIKrIZ7NXt3ePnwz1lY4zd48o6os+JAXSPNz3ULee2qsLfIlrXTqENOWqowhXT6tn9bgkDi153XsNyyqB56eSmH+GvxyDq4fDru/dkH2EL2aBwxzaJEO0sI8u3x91zR8Z9Ou24E9ebpGZ7ao7YS9CWOuibVTcWDMpSMlhBB8X5OZAT4W2U12168D85LlTRla6oT38+jA+E8XRmSOOoF6B471gP1dCYSR38jmt/GwQGNVA99CPbn7FV4WonYJ4l5TaE5OBH6z7MpZWKzEgoJe9hvzDe8JIhzGe43uJGFT0aSlTkwTkAahnEqi09aRrOUYKsO5Q46/v5vKG8WDRTRUvmHo5yccJvXzA4TH2Tclck9KDNUZHE5+0qjCa2qKbh36gELDlqsppdfCALKbyrLahrpap0o0g1UVs0IVEt0ZIDy5gR/ykFdKuNpQ/RnifhrdpoyOI241UfX9qiLbuuRaKWZJO62PNXtCwQArpH2xfuSnmxnhMaIMw76EfCEi0I50RUYfWwnynvN1KE0acp6i+TTXYycrmhYb5Am0lrYzJ9vzbUQ6nvHzsSGSqfS8w867kDmLldHHL27tznD4eB4iUFfVFmG/iFU0WOvQ5TUxj8dLdeJYK3KZde1Ee/MI9LzFSUz/eQd2zvGKEV0bp6Ir8h2yumgHaZU2DDPS+0SUTjITe/5b8R72vyOj3afdrXBNiN0CEawjTvwEw6wAcuOCS6h/fN9LDxPecD9Bbxg+7D5jKRdl+KOTe1aTLS6gTGJa+PnBnVQ6ywmNDOpYf9dn9HDn1NPluNMEoDiagqiZDKHSyVOS9vqUVM1OthPx7I8FJtqJDsge+fNnrYFPSGRMOwHu7wQBp/OYZUFHV84nguysSan+GKmcuANFQb/Oy4T9dUM24r2jTS6Hrgz5TaBUnVglP4olQ2P3ZZ15/9+Y1RZAK8N7FqkqbC8EjRCN7N2M4nqgsiOvBj8qIiLM7CRdCz5MmXj042pGNRYfxjK3B9zc+Tsg2tDCFebNtrRSqDtYky1EHfMcH8iHJl1OD2sBTSEM2vBW1iX4ENW7Bc0bNinKjUf5h5U6j4rAl1Xj1spFKfPFK7Naa5Ccxja1tfrNh8HXQiHW7BNQQFO9jrK67yUhhYGE2LDvoDlfjUBouWkD0oN6ghIR+neXVgUj7lKpRpQ39k0uUGNb3Uqg98oERyjUKZNWoC+bhVreRlv5hFox8DF1NAYlxs6jFsqKWoBHZhdq8/qUE2IoZzCvpix14YTLsBYVTCszTbYOZKCaeuGPlj9WkpXpnQdiTM9n33dd1/gQZU8uzrMsdYsXHR5bYlTRBUhqcvbUhCiZrN3T097jN0LTo+176k1Wz3Ghwz93vghw01vCaRZg1JZR0YlanRIsI+KLZTG74hVenc0Kl/CmyojuVjdijmnejT3lHzXbwoWtYjYttvm1LDUVuBaWM9LFnHGqAOh9oM+WWVlJrEXvLqywM/40goK6CTppBp6ceZQ4FgaKyge3S2pV/n8sDkfBQMmIpgez3wPTULvmGwsJ1Dx4Gdwg5FK+AENc/78lHjpgQ4xNhyOK1z7LY2mZL8L1xbI3QOy7lb5zhi8bkL2Q+u4CbXInxdLzOd+EgdDNltKZ5Zae9EVsRURVqIWt4tRM5ktVlUCN/y0nnYmawiKZ2o93npNOxMVkhNF7NXh3kiu4t672MzPey5mawOiXbtBfdIS36dydqsTS7MZrI+//X2aPoQMZNVVjytzc5kHWe616xhz96G2UgxDblZr9c5P5XVrBXhYyprU2dZnspq+mZ92b1SxAssNZQVuimGsmbTA/9OTiiWH+aH3zt6GRkWNc4vY0SiYadIwyeLoaxF4YGbmJyGNqZLLNPDu+lhlo2yPPgm4l+YBIZ8B/S9pYbNnyvgqwFI6dchhs3PHrqQF8hjuhA3bB7xV+9RuqR2sVO4jG0tR2f36zrm3LD5deXCo0yrPwU1eSOOHciLhuX8dGNAKs7vYRsDRpuQMda1+/xJNc2wQ7AlFXWW92QJe7QYTd5dAjX6efQ7loIkm/7Df1B980Q78sH6FRy+o16plYss83U2xs2fyXdvVi5DHYVqP1AbekWyR1mNXldfbDA72cTM2A6DdXXtYR1uH682QsxONN+UksIH1QbOR6gCWZE1F1Dywpk2yOKSSsi34wSWFbL4g3IEpMHF5N7ytOBE8BH98Pqn9TvddxB9OGbbd8/66T+Rrohath4Z42JrqBbAOmimWMsZyvxnhusmUbHkpTi9zjkBZjb6CcOiaP1CCwLMzFlGCn6+i73sW3iGc3ntNB8OVJYNxkAJkenT3NABmFqT6WGpXBsMN4miHqnvMtN1kfZSct1GotlOgRFdcw2JzOSIsZ2pd01R6NJDNTN+5VqoCpZ6qKLE+Cp3Z2bb38WyA/p9TTZvzj6vzeeOnjJnEGloZQIeyJUbfUel66D9dFy+z/dUt7s6Ku5Z3QnV7QUVqwVDIdYOQoQYMaQCTaDVHn69dI2Ke7UhYCC6epmULnCaTBDGZK80en/M5X9n3JSi04VcMRxuCrydBleSyIjmUlBw1EjF0aRHUloPy0WPwMRKbn7yZb7fnUX3hBiy+jJX+4rG1Vb2rYA/3X2hpuEGef2j1thBb4TrfRpqrEUIo4Oi4kZh7Brn9Rf/3KjZwUgxF2fH5Gp24IjIZYbgxXr5TjeWRwdHjiYpyr5ofkgFqaA9VTw8faDq7R0C11FT86uz3mz030fXCwX69HhDTiy0BU0C1AVzlT8C4pFQ3wHvliiismX0GTJqmRMT3Kov9RjZMH3QdL8etK9usUQ/pxgG98hOr7NH9XDFzQeDitliVNCHXUOzwji9Lb6MbHjgRo8LM7G5noDN0aOAFsC3VNVKw7wFh2an/QYYq6vhhct9JwV7SzZszg6TLnrYXy8rVb3lxqaQ0VcFP+ySdL65IaXwovzoUM0FFarx/rTOMW/8jossIFSTYwesQjVmRXohVDODTgOhZTyHakq6QLMMwd/b3GnmOVZTql7nbbGa6o1a56TA7YjVVHfajpl7T3fEavpzGcrpeS5UE0KPINiMhspORqimbt3SlgX8HKqZrXMmVLOutxxDNfowT9QsojFUowhuNVJz/E04Eq6/mqVIzcWbIjXmtDZdDRMq6lutu+hguyDDJRlhFqVToNU6pyDDR0pPSaj8wkzK/iyH91TluPwcfVawP95TleMVc3JmwL+TWUTBB30B+72WYiU1W6aXYRgH7JlIjbUxlu4oZDsozAQd3UorR6FsVzHZIsJXbVRhag4vMR/tgjXbvKaJYeL0OrsdXahxTMjJ6RYiHV0Qyx4+GrWLvY4uaFLO25XTkI4uefQWLdXVadjhDK7FGk0PyxWVRcyeKaG/V7KoDK97jPasYZFpqi4cL9Y1LB4ZxuawZrGKAgrOekT8QWWYNxGCZb6HbU/TbNiET3HtLFTkavSgInKyjNp3ZM2gyFQbzOJ2OHvTwT0dJ1TCtyhteYwRx6WjGO4oaHFRXJuv03EgQ40zRcw5rFAbgkCGmkfdUk1NP1oqnoMX79J8G7vjOeCobe04f5DGtQ2CX3WW96x3NaAspKeO3+m8TuQhzLa/K56TEpStZSLbGc8JY6ApurjIBAwRzVGrLOjl62NvgNXTIlQignmJ46jv701DeI7iCO84f4oV0XYxi+HUl72YvQGc3CHg8J0qoDmGb1wPShYtI3oT/xLqXmI3cQl1H9lBdGPDqCnm3pOzeARQHf93qpv8GLXxmnD3JOM8h2yIN7QaYxhDNnb5Df2kynvcmHS1/BDekRWZSLlafAhcM41j3KZ1t8kNrfNjulVaOQTTNn+M2eRuFaFmbynf4Rixcb4HpuM1ooAkA8/xS5oZV7dbPHqkjh6OCSwiEKuT6AQq2exLB8Vo4bCWbBJ7fQp4xxUmpRyiD90h/9xoJoesyjHTagr0GngwG0nv8WgbT0CnYYet6h60ksipP+nD49XjgZIvaJwhTMapz1M9w9DIO9h6ulSi7x5kSC2IoXWEwFCuRZ4jxvVNIQ+3ZJREVAofu0t93AgO4FebbQo1bKDeFd86yJ8Mq4QeWlzqv/mRjK7bmkp/xA/kxLaYMQ+zw+sXhhNFkScOZUBT0PW2PGhFlCvaD3efo1I5ElzwNfRnpCqAxR6UnYpp2H311xDKE5UJIgpUTCX0r+yW5re5hbNURLJbmzGT4iW/mQkUuKF6j/bfPex6BBUx9QqPtoJiusOCwZejs7aDvaYCglVAQsFMtB768fCDC48nuAtqOYHTZgui40n4p5uhiqn9HyeYF88hTBUdjVmpGl9UQ8wgClipCF90sJtzr+o4KVCf9PFJuL2hikE9hPhZRC3n/5axr7P+KDe1Wl5tEVahz8k5W+XFW2/77RqI1lvSR+Hg6Ff75hrUoDbTju319r8k72FxhBlBfiS7eGbfoN92sB/IXE5ra9bEfFjX0XxMz1W+i+9n+agiP+S4WcOS0iAPTVhrVGc9kN1D7Vi/qiiLkQWYeROQZ9LD/k61lRbtJyFraeMNzeZkiUbq9Dug6Ph1TtbsDRleBI1qWyltjRTNTAS15lGe2MNSbQ9zG1zKyCbrgak5l5g+BfeiOwHTTegq7selKey0lfz6q0cqj0WGQA+7XnWOZsG5phmeOJ+/lRsqMSV1VK4riouYOJU0kn8wZovHsPoZYWwU2AtnE1Is+qiUKBDO5nMo+qRchS7Cd4jx9t8dCBE/eQIFQfp6QSVumLOJGyIPJqvsSdsQ1JkpKFVf+5y0gfymKWxmqovHlA0hr2NMJ7uy4Pjcat2ZhXO1JurvZBkuslfRRV8w3/odMP4709nztvrZKjtdnwaF7SLUq+vOcUM+0ZBjrS+Qhn/dSDSKJcbuowdSMRVrxcZ9uDPzficBbUiXcPeRKtNER5wKBXt6it/Jdysy2kbTfX9nxvg4WC/k0ynMG1J9kB9a5Mc5QndVfCb04IxLCDVcBE+sYGEIqUMnFSrHmw5+hSjekT3LRPXCKhGd6stS+sDmCAQUBpb5OntzntzohMgiD7qFyEJPMU/QVqzfhdkfYckY+9rOnsbsirEUhyK96vuFLpmBJ+N08OTAajrYw3eyOtAJcQYNTEWpoKCKFa5PvxeLDU08UE6wSBNUshJGh9fipmfhw5g2iVmBdhgLZ6GD3A1e+vk602ADU4MkFp3DrMX+Wh7YDkG22rpyLe+oTAgrViWmUeHxF1f5jIqedVR0cG/YT7/OzidvxgmSAp76hbgnP7bkq3l6mjc1DgGhCEoVVsz+sCocg3KWqk9D1aG6NrTkm1Ow1JNHiFA025g1MFU1itQ6P7/LvVgcdfNsq1mkCe7JR2j2Iab+Vinh/hJbXDyL2RddXKFv6skf44vJq2t5YCcZlvVrYZ78S4xRrYMooyMnbCPKqEmaQmPAe4BbVWwfEe2jO4uPNAbk0FVf8wl62rNuQ4SGJHK8IBjSQ98xEaqQMeQMc+gUMIEx9N8QQ0kQ3sN+Yo5coM6hCqRH2NaUwQBvR81e75chtIA29KIzKNCVwKU6cETatYVx0a+wvuUobKcWH5w6KsP4Yxy1i9j09XwlHB5R3rZHaGTHbk1MQslJxLDGEhPUiHlMK2tNHZWqsomljAagU1/+fLhn+s5Fud2cEVDpwZk2E5jqbMemdYqSmWa7JonOkkUYapqkImZetJwavMYYxTdSQHcM+ErO8o2tjtlihERRG9Ob+MaJ4eVxLM8z8P1hvcgyeLiVqsumh6OC9yEgnCNWeQ/LRENDEO5eMKuzh2XcwiHKnkc8daDUjtPYLLN5ddw7CrYgGazqz36mzlsCwtzZz+7n2/2B4pUBeSxVwz8wkSgTR789tPj9KItihFSfJth+ngjHeK6it0MqqWgSeQ3drfLL4IX1Wdc0MPMgwKkrHBU97AeKyddBzD/R/hRdrz8lsPeaXcnqk4zZHRNmC8h70E/pE8MuI9LV5Xr146eKyk2sGZU1TqOKmVIUkb4TYlPEcaBAMZ9Y4DQHoHilmI2ipzqNr1um4SR4fBNmmfe/BpMwP96NQrHf9brOkTDksJWqX9HDOLZ+lz4rlCL/nZLzlj7qxwplqIUd7IFJTA9y3hqj2EQ98IZWKIqZ2DBF2Gz/SUoVjSimGxntBNhcfnq651h8HsNK+rhU0F2kyoDGtV4BM20hA0pCnQ1xH6oKpsjG7BSqmIBWwPgcaDrqi48bo0mheEdRnPWlMl1DIpIaAmrWe9hvTNZJxBj0lFNRh/1GwSLBRxRKTcb3TCxq8oBCRrbjeuqpfgUiiXKztSloyioLsMrEZlCwVH/8EJPYGyhiegWm++OHNDqXSlUfLkTwJ2SESpFrqzf9nXoJaIaMbiE99OFqQxkVSVRjStX0cBSHxMhPpAerb455qIagrjD6FTX4emZSdGloLoSsoD5RqhEqmDImKExh//UfaVddgLxjDAiC5jClkKm3ZpysxCyVRGWKZb7UaUeUYEccI9bpMjoeQmVuReQVy3tPsxtd526xRsSonKY+qolLbKKIRQRzFm/lB+GmThYVSEnhgG8rYkTVH8QKnT0hBnFJeF0UzlEU06DyKEVVsfBkztD3kke5NYgEE5k9ZgIsIvB3RsFL8h4TZowtIpBpDvzC9kVdQzchn07J8UweHXh3jkGD73yjJqB6pRS9yOkoTELT2JswiFYlSlV3lgdSKRKVF+jsYO8Y0Ynepy3CVO9xeJwXR1zCOL8WmViLWORM4IrU7WUs3jE5s9E5jDVb28wPxmhy7UVALm3nhhQCYqX6qu6U4o9oDJxC1XfKFKtGIeyQkYxO0NLMskaoo8zpgUFbHMMbLSvYjTmRmA4p+kSaPKEjR+PEGiLLItjUNxl7II5F5LFp/sHYA7DKRe2DN7CD5dLZIwqXbIMTs8fy4QdlXI/jln1QCKNcoCiSSaIBqi//ShWuQHBVh4SjHnqhHGhmmie49lq42M3jRtM8l+Jm74GrlEBPqeAUvras+iaUVYKmrAe0smJyrJJoXEKZ2bHHNVq0oX1jQX3p2HlhTFD49d1AexQE3GRYg/G1w87OflIB6kJDU6fXdQydmIiOjz7VcUrNZBOT1MR1Y92hAZqoGj10GSjHRkbaq4AIGxR6PzMMgmsSD092jGJS9wtxiQQh1iHJLTSjdrEzBB6EkGyDkvS6jiFHW6h1MPIPvvXpfgw12gK+E8RrNSK6hknm2DAJ7nA0/QzPv4scrtfhFnX0hzy3TJInEfP0r19aJi2rGxjGPSbontZedTJMH1VFP2x02uhgd3cZCxWhvtad7y0pCbBqXcrR9Eeh2s7DU4Ppr7Xbg+GGWxw9NclnhUSmbPxoFSORbRmJ7xhFQ3SsZDGQdRGJTPJo9AI8Tgjqj0LFez1mJfuxb9yuo5yJOScfbDntwbylZz10L2H3tr8Wc7Zn/ZZW1OR1CQtV1HHzhTLxIa3s9Dhv6vUDFSlaZLss3vAfTPREgGtEq7b+hqnYSSlDC60s0/mKo8EPrTVb/ypxODgLghUCzfbo2XxTX2tRNcVQc9N13tYCMKJxXEajhOlCZAvAiGpyX9Uu9rcAhM4vprvTy+zsAAjtP0X0zezP8kRp8EJXqWQNe64FYCxomTP5xdcOgJw4WyHueBwGYPpNUD7z0sakWn/mLvZ0AIw1iMkHr9i5y+A7AAp1IvUmqkvlOgAm1E8kVDn1wD+4jBKRJQUxvx74DyqfBFk0cX76ne8ceSmpiXphFkn6PZmiIgpv8j27oOQZ7KtW81mC2JOmCMsniZ6oHjly+xizJyKhr+WioD2VV3jU3EcdLRzTcPOOFGAz19xLv9Aezd1bb9Qu3qi5x9Mm/pLmXrvD7NPcNSI2NPfX3/3/QXPv9vGB1Nytr3Oq2K25I1ned+d7m+aODs8t9uTBau4i+rJP+i5pzd2VCmWo+zKruft45vC7Nfcq+iF6RywikdPc0eMd6SWKLknN3UNTNjuPci4JKSLVX73PN2juKBfP/Z2+UXMX+OwUddCau4vBltVnwmjudSi+2Lp8w6zm7nKaESuruXs0dlqk81XNfaw8+KvEgUhbPJaqY5q1UPwbNfcsaKjTdd6uudeAIp3pQjs092aT2sVbNHc3xIqyJbXObtW9YbhE8eownOoe4bjPGhFLqnsZlZDTLe4UaSsELjZZGdWEbh8f9mnvs/t4o/Z+5j7epL13Z9mrvXfAe7X3Dnin9r5I1Tu19yWq3qm9T1nGXu39/FH2a+8dOndr7x106L7tMG0ooVUIHubpT6eIfBorNduLBRJe0Sh4Pr+QLDVZKAbZhi2pX+jylyXY6SbgW0C1lulh769uH266xObFFeRN1YYua68rjNf4/ebxJwGOhGwnlkdRmz+mNpsNYNeeeygTJzcKFpIGfj8Fy6UImcntoRF9svPH9AujHHtwXGHtpluG3MUYNiq1uH4XBnUW365+40oXxNTIEQnE/Q6OydrLUCKRrMApKCrzIDSMOyoz4BsyDiCqSvEKYbesNdGS/iylEVhI0RT1cRntTFh2aIj097DXG5F+ITCbZoRBJcjA/xly0Lu9PTySGRHN5qr3+yeVERFRh5aaxtP970ykP5UhVEyy0hfEqPPQnwXXJ1gibg0joPgaMvPFmdbthmR9LAr2AzP9ySA3TzhX0ZjiCtIwIFxMl6gOy6W1WQxDcUU/eG7WVvIinmJVbO/y6oFB2VgW5lGm2EM/MTWOo7T1c3x/+9uOsgHZd7FDEp38iDGqdmccDJZCOcHypTuiXAgIHAk98COXBhLGJxHAnXtwVkxh2rVzwSn4rVrWMIQCFbXHFpd+bJ/Hu+gdQ6VYFSoRCqp3eI09KJXNBqUUNaV7DoqqLJcDqKuD+k4x2TiU4qZIOr7ggWKyFbr4jKb+GyVRogjfIrJBAf9J8VjkwoNz9Jv+ThbRCmmEpsjicE8ZTaUOoKm2RMpb+bTWD65Gm7ZvuMs/jsjBDl5BUVYGaqswa05Rx+0dV0DbxmzR/iGYy43Uf+Rf5VwCc7eavYohYHOb8ZorkrvKG0qaMH4+7OOuGc356wt3fX3zq+WvzY9q+AuofvPLSqicN9lQqoJdTyhHDrKoN6CjDuo7WzVbcirqoAcq0Sw7oLjqD/+DyvACVfgWFOz5MnAtRBDZd/At9sBMAqUZS1HGGsEe+IqqvGkNWlnW+Pq2UUBqUf5SQYz9hilvqBDjMc7dA/+d4Y5iFKLOVlOUzvBerRzBZEcxT7oF/p1ir34cm6vv+JHJTYf/WHZenL6m6+vDA5ObDrdUcSEFFm0dk8U4UCRR97C/Bp/WmR1CNNVlp9D1QBZ31ORnnOP+wBh0Y/lqi7Mt3z3dC8L2VVSg0kNY9gvGl2qNVbIkxhl6XxX0v1NWP2yd4ITIOliaSkNGanIEJ3pZYHyW/4XyFwgzyUJpauOPTLVyqPCT1ayBNZWuPG5M7pOXotG2SWpQ1+TLLiqkPZClZcm2pr8qpHakFypOVETjE4tercEFeNCjfHQhdLAfnqhSAzSUq9EFfWOfqc620KCaL1XRCtUGxMFErlM621HZLpZmkbtuCnhB+zJnPLuiJM+gD9d/2+feC22an0M9LyE1+WquJ+Cj+XR1T5mbAQM+ETXqv61kppkXiycXwNA6qJ9UWRaQVaFddLAbqtuYsAHNegJkyIpc5FxWjd1vG0eUJyT6dCtvOSLCT7mkrGDJ6SyhJcFuSkFd6d8pt2NCqU9I+tNMHoKFAoWSuR5WOD0T+/NCEz41jWdOlQluqK2lYnrg/8Jm59oa9LY5VSYFuHdm+BqFBMUtA4apgnF08Jxbzg5iUBT97b+/ypetCGNDkkQNZve3R69eDqMLs79rTqGxmHaT9VUf5RPVnDta5GUkvcIvjAIY0Rjfev26uCZzL7x2LFwqMb9kJD4dyLKbejz4BNpcPnCuvQiDDpND+m9PPalmrQ41ws7oQG8YbpTEBh2tuQ6UanWRx/PWfIKlC9rGAtaSoHR23z1QjRCqcDFX9J6FOs9j2sxbGoj2E7M+828MvtB8PY0KWAf80oFtMzsF4GIYKpxtOQdhrwvjVh+leBDMCxjcHeSflLAxSBtxqWaNKq7GU664ot6+P+pPMp9KaDpp8vjGCCohreIFZcuktey7LZA04BnqEX5iM5ha9tG8AVk1Cc8MM0RDuhJyCmXYo/dp+8PmjE7dLPxIZ3jHGotPCROtCYKcqeJx8BmjP/VuDZXwUcV007uFd4+M+lTnZi+fYZRpLM/OZfYUGOaeRv9gjVW9he8ULNpb6RMfhn2OAbmw6uNzJc3/fKKaJyFg1NA2oocWXP9JShZRzJ3++IFKnc4oAcren4BNZ9uv92AS/cGFqDfOxRXlCUNjdBpalADOLyBsz48Wcv/xG8rrh7YMOScFzDVngSOnFJsVzrZar8pxxSTXx30gg+yY3tL0Wam2AwIR3fSG14rSz4TLbUQeXnfWacsIusVOLUMptTqNtluyY171dkYsH6j0O2EKGBulHwjTBG70V45OhQ72hgwmtea8aLn9d8mMOz828ulhP1GOzvTcy6iDnfXnMGue0uhc8AyparsgiID1UeMacaE9Ufto0I0o5NdPbzgmkKMw9uXowR5vqCaBYnHH5oMC/k51RwtDSUWsxx6WCQ+NcSkR0K0p4P8gO5wFb1s9wdJOOnQ4cw0pBv13f7tZd8YUsZQzpgITeJo5Y0T9ySJiNZ4oMTOWIWSvjkrZPxUTlPC1/rukhGryDpLe86e7+6/rfasdTIEi2lMPSGZytcHmHPTFfjw8kG4YoeSsr/b6nmvFioC7LVlBf6PsPSRkxYjx3D001/OloBMrAhQKmLMIKio7oiYQrnM18gW8S/rQYuY+fdngk5gIVGdMh9Jy3WAbXN2KRB5ILVfYc21vOu8ri70Yu9+OTQZepokzzBJjnUUu9cBf1gPwHmZmikVBUUomOKwNYHQvsIZt0Qtfj7yFond7Q6UaoAALmk8Pu+y9MD13FtsY19sBP5Ke8mBdc6aH5S4XPhtfWuo+bDhMoyDJl6T2zPXoRtaZMGp94K9UvgHKSYOrCnbYR8w5jW3enquQ3tbKp5yWGdG2p5MP3sQEWA0ZNFudfJqCrgyZjQN+Mb+yh/2Vy0SvDn0/fTFq31eUVxLmW2klKZQ9kGnZLZWmMXbzePP9hqmOQncUn2fnfqQiJBgoOPKTDvYnWRCZrA1RYeyOghXzpzWvz/yJqk7DqNGSHHNeM+/oXhwaHqtb5tJJxY4QNb61rK+K7GJaYOL3j5PL3K9h8MIKgvruB8YzifE5tSW958OXm8MnsuTKV2FJ+lm9G3YEkoUloYNxtufKTK+YYiUTxknl4xubLnX536kHCqdBQKOaV2DDjkhHhb/cOlTu7sNsjCQL0qqC/ckwtCwHFt3IKdgHspK/tBBMD3pDSk05clZfxWR3ZopYqGLqjinyPfx5xdfMW1W5YOfkcvKwMHY3ylVqi2tU957q7elAcfretwpX5J2L+l06KEO2grZy49EV9cUDQ2qwldCHQiOeSh8f+5qXHPYddRz74pp6U49kfXKqo4q09C7MWnmyjcXmZSJhpsdgoJLP1ZZlIlnOKDNnKmu94EJfHBVzL+OQn7zMXlYrcVutOekroCRSq3hsIS4QjNnoDSoILIHja0ZLlObtHPGn+7um6nnr4GO2bfn+yD7Xbki5Ja945YGLk1jUIiSnXvvhnlGh0thoHQOq+k//bUeYpYwu+NTay+19vqF659TBFjSs76GZcPQxa0BUzmp64D8/U/IlxeE4BX0KbZg7F9ixn0ipatufqYl6o7FuFSxFdqaf0xEwTkEvcyK7D5QPsCGwlvX1UVM+4cgLrcV4AjZMWRN+DsXpT1K+3YZxNW0OTKUVWTzVponthu0/iZ6N/UlvybQHsRM0hq/pmVMhOq8pbaHt8pkYVW1owqSgyfSHcGSPS3RKtTZJCdFyqx7pTh1IlH40+U6a0qiJUseaJ7tyFO7VwxPiS7Z5+ck9S2rDFTXVPH06MxVrdWCUP+p2/bVuJC74ghJoV8xuahinMBSP0T497E/mrAENz9saxztQkxzy4CoqBBbRz9WCnmxBj/ngdRf/8chArXPgeyr9FfWGtSKO0EE/kmOock4T0OMgyA1mGxv8SeDv3Rep4SNwg0E7zgqYErBjrm9zCXZLB00JWIiljKoSdVpKKqFYF11Auu9OXzvltW0RHH++zIncvlEtC1BbMwZ/FMG8hqy27CmULtekL+GBtKdKsLMLJOypFpNY7T3NkANp5dJnx4W0Y3KO8xCb9czzMPMpPzaPpmOPZ0bUZSSPRKsfyQ/KhBQydz5ZRapT7vYH2VwppKb2YHbLyYqiBySYaRQaLmInHFbzNmok2Rj1irLExW6iMWMeXsY40IUXy42eSi4MDi1mFh8sXZoFkVVymy21b/LUs8RyTpPGTtPwWWK50amTxyyn0bijamWPAquHVfLKrNXAiLyCltJBM76cF3mVFSwnsIownw6MswhRu+nGbIgOU3+y1XhFLv38fjcQhdnyCR0ye+BrslNoaOijoT5MybqK2SjO9djaS6jHtL+MaNnLMmYm65gQEpoXjqHdnlCVrFtxPGLktAUT71DxQFlK8ALW5hUs44ZAHKj66DUsJ/EyopS1KoLlAv+oNrbBR02xIi//8+mWmyfUoCCIEX/u4GYtec8lFBL0UFTrKFgv1pWm+QKVGJK8H1JpTeGLnQaX4ZqOmsQeyTZzJWACvOKFP6i6nArXdNUv/JGfjQMGboMwKHht9pvSBqzc1jBbZTK3jTKHUbhsrQfTWNrOH9QyZRyAOtmPZhpUtsCxfbbwHuSUxeCeb5TrVo1pk2OYfwrcNzz9F2r8O9pinlmn9lPYDNEIzjrn9DLT3o5Uz1Igt4oC4pY3dOrAajYKldKowHQLLTQVnxmAbcg2r57nkhrAiuRGu4be5abiSlQ2L0JaHeaJdFb6kDJyW6aw5zqwjgOJx16EL78bTk3FIapdmHZgNZO/3uzACg8m2O5pZTZneoxKem9dD7t0G2ati56wL+v1Olstxc08xJgKGhH1Z7mmgproO5ptUYche4rLs28VA31fgQ3da1kkiI1+fvqdTUujSJPs0Sh/EYvvqTQS1NeHWBUeHsg0kmMr2WWCeEc1SMdDDxb1NVCDj5M5ya7iRrelEOUdO+rXYbremz4Nyo45Hsv7+ReybY63Z9ape6Zrjq0yx4xls3ysd5zAanVIzc9X2t1Z2zlRd21rp5MZelgEAvwBQ8CXrokUv8jbai48W09nTyN83VBF7sJKS7/MebZu5s+5JfS67GHPNtaOSaxwBwb6irMVtn6xh62PJT0NtW39Pr6R7YpEK56/vr2NtZMoxzYvUPvYWPv6PdlhzjVEZfuzUI210SUloVSwh13i670dVlGC6r1TwH+Q0ZmRptfeKNk7QNG0eUNf7djiMGc8l3RFq/XzV6XYOqHWljSUmp6Tn0VevkwF1vMAtrTRmsbhMkmvc4atrzceauNwmbKyn3+hJjhHMTjy/FwbbN2cqSUJbb7MNls381Zpcqy1DXHTO8c5zkUtwzJ1JMzFsfp065K2mDHaw04u6U0TgEYFKSdoeJP9cBOAELhGSbjCw7kBQOhT4sbS4NPv7mTqZi14LTaYdWofzOjOOBpeBXrmX7mOY3BiHGC/SFrctAThy63W2FMHOQAIWeljk9X+Kjllvdkh1+L1ZVIDgNqYoA1FZZFh/BOVPZxQ9rmGxD8ov5cVhmFX7/TdrhkQi9uhZjegps255NSdPpBeuGj9fAsTnePdjukN2SnccrNZnsumoL51wD5ydstrLD9gvlKJL6LyVGry/9zfkY0AbRiZ1XQhshpKjKcQUzM97CfK/RVfZdAE2OyeYDCWnrYz+zdU1CSmkouC/XZ/R7U1xb2Nvp0O+jvZF9uJjaauj6xAzWhknNIJ1qwmHs7sMOtyTerLVKTBIlycYbJ3sI+fD3ddfdG60ZLl+aoVKMdJ9OMI5qZgqQk+SFn2aEvT4+wn29JmzIdYPLXZ1qyLdy6rFRwVXkYv2jajMibiMJb6C2zRH/71spCjdkQpy9Fls/u6hM8K2lKKmsT/pBKnMPS6zMjkQLV7KeiKNUPY7YFqQz02EgNL7z/8cVf53/Gn8PIwKV76nBAcTsCKF5mNHCmXYkkK+jsjAeI49dhXBXv4Nz6IYZPxLT/PfTzJQC6IIT9Ngc1eZ9dLEEOtc9QqnkU6pbChSKm0UEK/zqvWa7bE2ThYXO3hrEm1ulI6duA5d5pzJtVKMSdeL4YN9cf5SEXuihhV/gxOd4/xFKNKHkVdPs3X9byIhr6AyVdFYVdkKltD8wONgQOVwBbEFDuz871T+Ma2WaiTWMTAD8q/hNdZ0IuzPwzXldynwafY4gJpr0cs2jAm86xQNmUWhyGK7PdmEQ/vydLVlH2aECY9HAQNKWoKIhsWjsKGQDCtoKY5SjrrzFA54rnk+X7ULFKzlrSIutYQsr5ZKv2joLk+YlE97Bcyb69U78xf4g9j5VbIHSq10+UbZ2wjBQcplJ0s4SJjSAlp+S9fJ9StIE905TqZWaxoW119ph6c2WgaLA8OjKci86ReUCNRzbx9sGsBbHC6yt4Z3xiQUzNc/ZNlWP+eGA0BQwK7Hez27tkhIT/0eRFNZR+oyh9wEDFBapkcw3CFNKNykcGBJwigcu/h6asF/Vk6UMp2qYPLQkp/DXXZicUJS3cBd1QtSha1xsOFND0EFSkuFuMdYu4gfycnExffXFh8Af/EkC7adHrr4tILYKafgj81t7aVf6baA3khv+KCWdjKD2qRgtlv+jp3j2FFBWrUBzqp3JwjD0VSLvePgpoX4tDp2rt8sUTZXAIAaoOss64tXe57qoESPIHelcXNXPrENVl4TpiTY6U4lqEd3YKf7u++kr37U7PZncD3NGOCp0M4lFcf/+2GyrcSzhiCjwqYMkGFN/gIP0UPe6CSxMVSSWIAi3jogL8tuKTO9FWzARWOU3CzVSpinSA6znb8cGBHcgqmggb+N6q6SFhGtqAQtGoVk9PtsLgRF41ocPAKbN6QXnLssJS7dfSc9B+kK9OKwqTOonzxl+RcVg9Oolc68SMyvcSOLSOdwu5RUdmy9BzaKvuzx9kTLUbhbBKzoJw5zJlA5GoFVXBigavDPFEVVPKcvd7C+ewSpBe3aF8+A6fZ9Vfz/1F2ifBT4WhiNL6uzTt9MU2rQuWcwr4huwTtuODXU+tMxraTfuSaXVPLXDLDnqDHtdRCVbDLWS1Gjf4R9aspYC6IKSZiyD4UdQG/k9HT6MvqBbwj+6Rbh5ySxQt4Tya4OFujxsMDFY8NQ7R2voUlhcOsRw2t1bsQFSFzob+Cbo0oB/ZoNDtx6pOtT3NF14oOeL8AEOu/it6UjVpnrwBIz3GZ12XMW/ML5QDNz1fanV+I3kVjfuH0ZIY0VV0YTdWk0dtJAMLkwTjZMRdrEb1HCWC2J3H7hCronlaezvBxg55AJYwm+vMv704oWcnYFVaALMHJ2rT/EdWEfuS/U9j9ZmxsY/p3MmqdE1K5LMFUxt5eJ6QelWwuo0RUXYcswR4PnAcYQ6Sa914B/0G5+pqizB0ZHKb31yUXJwzkLRkcY9OljAwOdZQHtumSnfIwZ0jj74zjzxY7X6nuquR5Nv8UgRplAHIh11MQUXjZ4Et5Nkf+BzX0NyCFzVnECCbQ5IQdOYWtyEjpYZdHlBndKdaKuqU/TfWZHg1A4SnN9MAULMa3JNFX1Ye/U3miSJMXo11v+p6dKdQK2p4r6A9fNkJaCMwF6FT9LT2QDXlsLtEpArniRhGJQIiifrTZgT9QvU4jurSif6eikfur831AzjQrqGLe6M/va2XpqljN6VjF9PeHBzLS3Fr26QV2ZNhPX8miwdLkUXefpR4U+JRcl0BisIkrdG6smask0EhavxClkjwXm9b5LvZKTwyByHJtZvE0X0kClFfn62k7k0aga857+biITYUByt2CNDUP1XA3BsysxYdFUvkiBn5Q9ljyg2ynBHUYUn+wQgtCWv01cOUWWd5ccGcRscseO87vXUAEb48hMVd0AIUGyhwrZWzIm1eu9B07pjVgQHi/B8qWOqZwYixKD+zrLkkv3xaual19eQlcay/wz7GC2WHca12MG28XMvmcsp8sc3lDMSV/fFW128DeHO+AJ5XdwiG4yC9CcsFM9k/5JtCJOmS1fVjBZiMypOqOjhUD5/f/BzWY2T33M1zAIxPqRa58S06dZkOLPfsWvFu8T99OdP2//i+twBXJDQplbmRzdHJlYW0KZW5kb2JqCjgxIDAgb2JqCjw8Ci9MZW5ndGggODIKL1N1YnR5cGUgL0Zvcm0KL09DIDEwNiAwIFIKL0ZpbHRlciAvRmxhdGVEZWNvZGUKL1BpZWNlSW5mbyA8PAovQURCRV9Db21wb3VuZFR5cGUgPDwKL1ByaXZhdGUgL0Zvb3RlcgovTGFzdE1vZGlmaWVkIChEOjIwMDYwODEwMTMzNDI1LTAzJzAwJykKPj4KPj4KL01hdHJpeCBbMS4wIDAuMCAwLjAgMS4wIDAuMCAwLjBdCi9SZXNvdXJjZXMgPDwKL0ZvbnQgPDwKL1RUMCAxMDcgMCBSCj4+Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQo+PgovQkJveCBbLTYuNjcyIC05LjY4MDA1IDYuNjcyIC0wLjY5NjA0NV0KL0xhc3RNb2RpZmllZCAoRDoyMDA2MDgxMDEzMzQyNS0wMycwMCcpCi9Gb3JtVHlwZSAxCj4+CnN0cmVhbQ0KSIkyUEjnNVDIVOB1CuHVDwkxUDBUCEkDioQkKwCJciChEFKsYGgAoqtAQkUKFkDKAEjqmumZmRsp6FoohOTyahiZmWuGZPG6hvACBBgA4/MRjw0KZW5kc3RyZWFtCmVuZG9iago4MiAwIG9iago8PAovTGVuZ3RoIDY3Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KSIkq5NV3yzVQcMnnDeQt5DVUMABCQwUjS3M9M2MLAwMDUwUTUz0zIMvU2FwhOZdX3z3YQCG9GKTLEKILIMAA09IONw0KZW5kc3RyZWFtCmVuZG9iago4MyAwIG9iago8PAovTGVuZ3RoIDEyNDAKL0ZpbHRlciAvRmxhdGVEZWNvZGUKL0JpdHNQZXJDb21wb25lbnQgOAovQ29sb3JTcGFjZSBbL0luZGV4ZWQgL0RldmljZVJHQiAyNTUgMTA0IDAgUl0KL1dpZHRoIDc0Ci9IZWlnaHQgMTA1Cj4+CnN0cmVhbQ0KSInsV22SrDAI5D7ch/twH+7jdR7d+BE1Rp3drXo/Jls742gkBLqhM03f8R01XEXCRMTVREXVckheeX6En+bHpaXQ0ElCTNOee5pxi+vpTwbe7vjQTmj/xrbEXPNvnZb+tusc1731bJsUq4/RTqhvHxgrnzJOm0+2vNzb0MjUhU8RjA3ccPwIfgyymPmDR75GJ8Q3n/ZXNz5NWBIuHHxqotO5+v3hRLMQ2YntSJibu4TjlmzezWO98lOcIvGjiWp3hYk1xF2ibKau/Io2JuNxGx3NDSXtxIgn4Kr8fW2IWMnMTZX39NKnvp+/kLGHBHZDCnOLGfcMe+5S8+5GnOPLA2PcSD6d8z5nZ1SoniXouMxKk+PVB4ZiQdN85WdTwHiWckWMsnonzi2Tr4X6OU7LSy2BO0VGLVuBxxwa/keBtfVqdLXceIjtxwOEzU0ZMJCbqhLlG8ZPFO4ZafheG0sat0hvZ46qZcYJxSBLQTrDmOE/EO4sNm8yzeKUHTgbsKGBOrqxo0qpZhpfWNqcu22d68w+KB2l0uGWCPeXviiAhdInpzjFyqYzCpCxMH2wjyOJPxzv2/lDs9e8AySVEFAIIIQMyTz1u6WxdMKebclm3u3Cu2tDMfWv95bC+g92c7wY4Pg865f9Jsk7eNfwbu4tRzXwoL9MB95d6aePa+ZuuWlrwsfczbIAXFvEgUMHg3uy96Xx6bqjnwXD2ZsbcDp0t6KAUI9TsrIShMiRzguKius/RvllF04HSGKcEWwWTUKBj5rlOxPtd8fYUyfbGt6t5Y7EEZIZnUDfQ+3UuZLqcWOXii6f8lyAzOfTRATkodiUd6Y0dc+kxpJToRgiBI0i1UqBsnjXER4ObyrKRf4DEUGRuu0FG5o2VH3m05K9NfCnScZ2SSQRR721Nl9GrKL1RazGQKs9KyYQF0LvgCo7dq0SQz4HfEw5nKGIBBQW0DiNhb/B02pp0SoJouBvPzWJ9uKDNXIvhp6VfTrxyk80fgWC/QjdsVTHa6gMHmDAvjq07wV1TkaHfDPSpU4voN2bPVCmUKkIJQvXh2SBGAt5YSloQXQCKit7gbCAQvoydyuHpDzw9t5u1o2d7APDWZHF2aN0GmBLgcbSCK9H3DkvpajsEHvshxB+0KWGs5c2ShRgEbZP52mDQPHKXzxReo8G7SCXuSkV4gIVVpFi41ItMqMAQDwZpRSd92JglKRNQ6zxbKxMcf5AebQGqOAtVoGyR5VicLVARjKw51AN31T1BE+imsFEWkAl9hphW/hJnBY0vR/cOyMooAibJxNOyfGmTTl35lS8Ohe5rD7dpn9jth778cb2MyakIRdKNwOeg5gDc+M126cXoicxzqCgnCij5XUEwmGGYUKDYLsXAkSQXXw6DgNtHJ30sDrPYT7eI4WAUkFKTObTFfqPF5Lxm2Wx8YkPQce8gNphjcNNYjiDj6VLCsEXKMiyRvY0lgw+sa4ZyYJ5PPMVaeATfcXxto60gC02ynPOe+g9eMOtDk0gCcU4nCEZwb6Zd/RQKzqXbgRVWG0bMUNUBVfBU9Ybt1F/uKBWeaU7zCJUcR3bvO6h+VjUqoWUP1F9zB0PYqzR2Bt1J/GioKBqkdwKSqzhcublPPp16C8c/47v+M/GR4L8Oy7GvwEAYM+iqQ0KZW5kc3RyZWFtCmVuZG9iago4NCAwIG9iago8PAovTGVuZ3RoIDEzMDgzCi9TdWJ0eXBlIC9Gb3JtCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9NYXRyaXggWzEuMCAwLjAgMC4wIDEuMCAwLjAgMC4wXQovUmVzb3VyY2VzIDExNiAwIFIKL1R5cGUgL1hPYmplY3QKL0JCb3ggWzAgMCA1OTUuMjc2IDg0MS44OV0KL0Zvcm1UeXBlIDEKPj4Kc3RyZWFtDQp42qV9yXIcSZLl3b4C3ZdBiTC9bF96Tlk5XTIl0l1TNZ2HOfACgkECVSQCGQiQyfn60edYwk09wv0FRlIoAjCpbpuabqb69LeLv1/8dvGnXy/q0HK21uYLK/8dfkthKK1aGy9KqYPzzYaLX79e/PHPcbAX7uLXTxeXf/7Dxa//MP/+6+Jn2mBjcE595nK3/QrqC0VteupSBh+jrUVR7282x6j7sU3zQ0iutKaoPxLEF866IQmdOxAbEL8PId/dMh9wcQjFez36/pbYNuftkFy0ThFv74hdc8EPKaWg93z7idg0F/3ga4hJEW/umDUnJwfWYlSbtqdo41B9rlkNfPW02ScXm93QWst6vl+YteY81FxdVbTvL5n5FjvEmLJaanr/B4a42kG2qeiRr+4+MtzRhMYm8laoDfMuDPInaL58H7y/323viX3zIQ9JvqD3fEus3Ec3yOhJbdsDRRqHUoJe9uQymtOkZQi+tuOX8fRCRQrGIr+9ZaGpDrY079VK766+MNTFD7mkmeT79Hh3/RMjdw/iO5ch59oveJlFRGi30IrLinh7RxyTKWEItlosvKMWBgvEynEzqm8+HcgNK70umhti9c622dihPIoIM4TYtrLxNTi9cQ+M5BWxLfvmqx7+crf5tNlR4jcNNbkW9PBbSoSWwYn092rr3l86TirlOtSakj739394x0glMKr1mvg7s281DknsBM0yjJZ3cua5FKcP7OaKuWai5WXL9YZ9o0jTUJJoeD3nf3smNkt7FUUIy88yaVGZNtgX66q+Wlebu/0V8yXRf8GNemj6pcvbL8y+y8xDmU3iYOKd1oSm14QtpdNL+SdzjMI9Ngf9EecH9/yVf6H0ah58SubkVH5jPtJEBLTgJls6csU7ilZ0VLPZq+P4J6GkXGu4+3bpPP7AaPgi6tk1WJ7dHN5fBsto99qEo0JJmpwSIcLYqWQr6w9lSFXMFHOKsZdYOouJEA/feFb0hPjOsv/VZqdo2duQq5/Onb0PpheEYgXnZJ3+zvk3IpQ4/8wb7kSCrDEnp8PdCmEGG13pT5a8FUlUg8tqZ6fjLt6KFO18G95yK7yHadDNgTH25U7YwbaW9AICqVhDGpofxb2PYv46G8+/FWLStTreipdv8LcChkGAQ92RcpdCVh78dOpvuxQ5DNklXK7+O+deCjvIB+bTOfdSyOVqMh25FKemQ12KKsZuGlXF9GC5S1HLENOoKrpT4VSFGEypnb8N+lJYL0aMm3+H2AYz/YzwV1vgkD8wd2xUW8mpuUBteeqWjT6PeD3N5FaEaYMwGz7wZ4Z2jFPZVi96WsSp1u9XaUOMrdiiqPfEEQgHWV/EglO0N5vtjrJ/rbBCDlHP/CsVo8pDEYdpQsv7WuKUDqG6kNXA7y/983mtOQzi65TsxV3pP/BH+UKgZDoCOMK+egbU7SvCYzVGr5jlfrf5Stp5YvLn1g1tLm+XZXgbA5pNT/iBCtzIQYtnnPV2MT45gj7Ow6abnRXj6njxMWybLnZkk/zsGK6Rhyzar8Yjgxd8Yf1+ieoUPpVFqC88h8vWNu5JeRdNzUWRX6XKRYYhVfzL2B+IpYvSK+KbxgmxYQNI4oy7EDMuZzfwN0I/FBHrMbiUFe2GEOYizEQzNvBZR0tFRUWaxRZEP5ueOFhKhIutF3Lwas3m1EHPxJlcr5p9ns08OMaVDsIn1YJPevLjXD6LurfBt1L0cX0noz65tdjY4+psOz/U0m2ZoeMfYpIPclrhFI8tRx7kWsfZvdi8Y6xB64YiOybEGcHGdEbc3SbscxMtfyDtDJ//RrGKHaLLhwloe/x36iNybNH2qxjtHvNi93BL8nKEtujvjJMx+M7N9gvpZcSSoV0mm/rxgYpHiRER05GVLNr4+grEMVR9dB3jV/Y7JpyU0lBzyalbxiPFzW5wJSU/ZY3Lh1crzA4BMXEENL5f/CZzArlwjfxjsZ/ECH4mk09df8X/FKO2thKzM18vRKLmKGuLk7+++HLxXxd/XzYzhC+dn357vJ33lIki1k1o3by6YzHkjRH9JzJV7qf6zuFgrhkt7GodhNtD6r9z4sZr3miyGHFfqyL+/R1jvtg8OFu9WgHjMT6/dyU58+4EzvYYYQRFW6bfgWo612P0Xrg75vlhTKUG9R3xOYI9caij1OBsszAkX6I+lgfmUS2UoQpz+VP8OQrAPzBfenL9fFazEMVNOgKiT0SCYip46XPnvOQaaJTQnCZ+k04R91X0r/rO+VqliFKeTMfMt5XVKyI+5l86TIjXLCmPgn2yMnPQLRcruiWLGJttb6ddCPEj2sX7MP+O1i9rbqfol5ZtropXHimHE6HdmpKiPeiYXq3EiNjKYfeVWrn4/1ErIhRhZnfz+ECqFdmD6bxmEohLgGgv6unIeYwSiDLax7e/2oLa0ndMGEw0kpxk0Ed5/Y6xM0Qj5Ybnr574d0puikayoguLOgBWI8nVnG8c5I05TyOFMUnoxIUwtEYqKRzlh0P8zlAaKYRyejrPZ2rWNVIMMWZ9xRhPXzRS8Wl5KWe8FiDz7A0K5SngUDVHh8iHMcfUjezFSfH2OabMhzGRbvdKq9LtlryAUsSPS9U3Rb0nPLoqpncKPhdFy4cx/ZArfJeOnItiBrmLNqn9IoOYstup6Vm/v3SNjGGK2I426XlTJrF4/VFMU31YV0xED89BuSDdoid+ePy6HIIsMmEbIW673brfk68m4ic1PeOVFD3hjZCzd4qKSydCzDTk+S69v/SVs5RdHkKpiPT220zFlCCOqsy9nzw8L9+44ZMdfPQzFntHXEgvpkryoXEcokVYzuKw1Kw55Dv1FoOIhIte0W6o1LUsVmepRXEYl/YmNlMOTm/WF8aJEEMipwhXhrxO5qjQteKBpPb6OnzKA9FZb3KtSq1Nf4AxJoq4hLalWA60hjypiyqGoHMeQctu3A2xY0j0qOLTNkV7OnQ4+VQTUZDkbiVF/I2K4YmOF8OtmZOTXpD2wpqIMIuyC89xjRczw5zl1Ijdk6xvuf/Qs1OzJveDWK3FzWdxJGS2HHOuz8b4fDXP3/mwYbjfRYSfcZb9am6piJsXk6vUpGg338igm1hK0ShaijSNXvuxTTzLE0EAr7kTm2ieA1yMeitDLDUEtQ//ZA4Sbkw9cpDHw0wLL/viEZZ8mh1+o4Jt4poVcSsXJvOvhFHn5XbiirTT0/mden2MYpbnhavC6fEqxrQ5ORPKbfMeQbw4mQuffu7hL9alVXB+0nMikpY7VIj9+S0z6mseqLqDyWNmklnkGp/J/7rdcy+SYqGXGA/Uhr3rBUZYDHrg/c3VnrhdcNVjFlNIkX/a7pjr4NxgU5yt+uGWsT/xqBhd1EOvmNk+Ds0n39RW3XPhNvGFrBUrqB9yxcwOaXA5Tk/nKRhCrTK6obri9fFQ8T0ZN4akl/qDom3YXKvnTAV/xDj2qXg95++MxkOKaYK11tNuSG0jBlcWUdTRPj6QKqbWou6B4QauSTyhNNusPZVhLz9HD8HX0VIpEMiSTwH5H+r+XC1fAi9XR6z58AZx4XF/ohjFasi7KyaQIf7WEGKYUW8YnScsWcUr14ulLJGxYMiG1nre+OOf01lPAKgdKmHU39OdO19lZuQV+KyY7YTUvJirGmeREneS3RZ8MUQnanQ0u5lZHl8RPhcX9inkP54es3UZAfXQSjA98T2fcSPOiBr4en91d80k2oqeEocCD5XqC1T1kEUdSSqamNNSVijEr1K0VNWmGFatuDpZtjkrwgInpjXf9MQRYeGSk6MMr6fOpRyIILdxZPGOGF77wOyb+M9OXIei6P9yRyYBejntrDaO0ppNFEFMkKndwDfLSh5VR2JVJH03uCRAuRvNNT3kd8r4FqU3Ppb0S6WKrHwYUvSzS/GDESS+4PEwV0XLPPAgdCdKK+uzpfL+xrhdtDFoQfJ4t5zj6XMYvB1duJ6dQ8jXYuwaSvBmYcl6VA6c1Fsicl1JM+G1veNTp4t48QlJuXzB+EV+ejx3wpETUuyxYYJXIYtJkzpaJhm2ZpEZ1tae8ndGyiMRxYpt3rq1ioynAld1iNUJzZRWlMMPRtAFJ1ZJhJicEN9tNh/v3geflo17CMnsa+53mQyyeGQ6d8t9fOAsTj/40bLvVsustSHBz7f+fH5Qac52EDbO/aAPjx8e9isXT0xGsTNaMeduEYRMqzb0Qz7uGY3vw+jBQMhMbw6D0wBj0cXSwtln6lPGO2fol7olLcLkvO3P5Zp5lx2z5FACNaW8ubr7zNzXiU0n7mKYpzKfFk1ilMUcq/DvhPJqt8wMYso1HzJ0zpTqwxdipdVBgNtYOlpKKqFir9XUj3rwWdaykEr1kGhro86Ekngstfn6QvkU0hrOkfsXSW5PqLpexqzUy8BoOxCeAHXRLyVIEvVjPPBAynC9nIuIfLw4PBGaM96XxycHYYg0HfQrE2Vw4nO1GLqFckgqPok8srEbUmxqS1rUYl1CVRyWylVbiEQB+ks8sbtmCbvFBd+fKBUeQGlfEko3peRAdlCnkGrtlrm7pev3auyY6BuVMoSExzGOeyDcfKQeosciztYNSalRL7yXMxK7Jsu8owirTDa61h3m5u56wyR1o+5GjM7S89+pLJSZcpKjEXuyW+07MnYRmyhE0w9LKacMKIfcMVIig+p1sML13WXjyoMmMtCJwyD+UT2r7vDl6TfrD5zx9ItQ7wvtuU+/iEx3457x9Buroj3n6TckRXzO0282Jye9+PQbIyJSEYV01T3Rvu3pV7SmWF7dh/inXzlvcaPVLM5++i0of5x/5/ynX7zLVPE4+9WwT7+iokQC97T0068TjVGMIibdkjhWAM138by3X8SeyoldfMpCZd9+a05BbyL79ttKns/h7LdfcQhyXeKI30gPSj6zMJl/pWq6xaoU/+3kVLiXX7lobummsC+/xQZzcirs0y8SfCYHfMbTbxEj0C0t44ynXyC39Ux2xtPvjNMvQz7z6TdCYVVcPZD/15bZPXH+shhqMR6on3aPwgWEpkrZioXYj808/VbRkCEkp+fNvOXUEcgMr+U97d01V4sqktUG4TtmYKXl4KCLZu5JuToHZ8WJcyUqYp+4UhiPakzUO/Xk1CuCb8AJCZqWetkUa9NHCwHaccj9bks+BAfniz4pqhAVyChijmju2nwcmP0CelXzuJMd9V8pNJKCjAgxN3va7Z5iEhH3cqn0hk1SIpaFoogf8Sz0vJ/gBc1S0YAbwa16si+MShAxKLJ4ttEUXFoAnmoqTd2mK8rdOzzoTqnNS0BnwRlB7VEOXrMGl0AL0RPrbIephHYR0CPgTZpR/3QOlslFTG0AjOwTc3xYCXsB/9DVFA5kdIqArNam5mtVtLurHZHKYcQGqs4FsHNHfrV8Qs0NrUaxoNRCmSvQUJXmstervdk+fr6hUHZRGor67Y7+2Gu9WYnrZxf1Rw7WwS0FHyBeRW56KVyBnR1qSTWZnnbtpeqphAA4cT0dXqogOw0FogKHXa1dbAoS9DE0IVfE76hYDFCpRsG7zufHxK6bkho21DU+vzabnZ7zfgxDMlBBwL8txc6+sPK4F2WvAnK7zmcPDxS/6BRzcGrZ5whE0dizpeEkvnhmxTvI7G7kTi2bFQHYZJ8Cik7sqwn1gTKDYLBG2yAbOnrmYd9AdIcSfVXEV3ccBq1zMbZ4IKbz4YB1J8Zubmrgh5XUP7wd+Gb1fPfUu4NYXjYnr2gfr/a3bCil5KBXSz07I8yNsGg38lT8PlB1weJdjEV/6jPxrLpDRFFiGkVKtw9HZKjpo+ZiheWkqD6RcL2iL5NczY52Q4ZeoojuqMal3mZzHkISsaC5hdJTxcvA0Z/PaUIq9pRI0KbW+4OsEhZ/yh7jledw0UdS9sex9PYEr5jL/e7xYc8FBcbSv9ldffWIzUqxrDjzxR8/g9PI60m2oYY3XHSxwKtY4LGUN8glH7M4SUCbOHFVzeU1pYpk+iXOP3O4qts7Cg9MlpJQbErcHHMEWT01p3f+G1UWJw6QeGzUuLOsHlRBAt6w3/7dj5/OKgoWrSSukHs2O24JXnsy7AMiAhPau89EAAX1nuIxup70+82yYYkwZqolikE6obrmcnNay4A/n1JStjwgYiDSDnRTRXJNlQnEobnYf+LAmR+oAIodfEMMZDL9DfckATStUf08kZoTykchMCY3Kp/pcN8od6OK65Nzv9GbBzJUA1Z03emuuRp+SHE0qKYsyMTEkanfauq39HpLYsWGlhDZOT7ooqYS09d1Z7Hf/L4nsY6FzJ5gRUNBRKCAK2d/ihUpHAW5EBEp9N3qScREMepCKWddppmmEs/h5F3ilSzg7YNYSR2zUUFnX3AXW79+LqerZCC3JEVKKRfxdMSn7lmO0rCAMslZlMKJTd+clc4THepMzFy5EqF+BPncKPPHj7wIFcM8ZjdXkEw9pdz94DKnomgM2JUHUioG5Aeboyx1QremnhpAbwuu94Fmqg7NEtKECCSEyA6U32+40HqRFaJNwoT0mvKRcANSS5MzfdKIRFjIBWD6HUbsGYrDXCrBqm/MdaJZaezkxEPtNm3zharSskg0DHFKuaJoMqoikUIy2S3uMVvsQhuCmuYDmVIUYwn0LA0g+a1zqbsobMVBBQdOl3e9JXOQkvBSPTGkWcpBClWudXczF3Rh92DwlMZ2igV/oxSJhz49yYLvSNenelfCVErsbzg1IkwYAx5b1RrOcDuRO1tCO7mGZ3VozhHwVuSJA/rWMT1hVoukfBwRkdVnjqgKsyzwk2s5qe9wJig8ep9yLJqYem5AFn9LDYkrHTWXxS+GYQlxQmsIvYHkf5sKjNhuyOOe1OxZVsT4mD3YE5PaQ/z+nGLWq+UUCIr4gQKoVkvpEMBTjPbMcX4jK1dTHrJt889MNYmhgl5NdKjeww3XyEIMrOiD3sKVM0cvF/GwxCwjOPwIQl5z49PyhNiQbhbiyNXXlfmaeYCrxAKrv+dRqswX4AjVhzdcqfFhRLy0rJlsw+b3pDAb+JoKpPmhRlSu97Tbu3883l1TIU0/Ag6HmGefYDYN1eAhuKSJP5Eltla2rahd4yrUnpWB7HlA3CTVl217mrhZNfNDDkkMgp56f7zM1sw6XgAk3kdNzbyujBjxQYRZT8vciiY+nYXKOdAapQAZ/7qJu1HGivbpFMxUILGQ8xnlbyLZurVMDQSqj4y3QxZWmn3mEJceyHYDImezfKbI8YYzCmnBDuhh4qakHASu6foORFRfx/4r5yUNFrThKrBOuo+cDX+LjIQUUQp+YjJcsnArIwabzy/TMR2s+lpQUi5JKydXwiaEuZL1V47AqpuV5gjNyel0vPHIuGFIkxBTrSM8ingLV7W9/jsbRhh1A2DbZq14HzO82+e/Xse7RTQJ/Y7M4ds03i1qaSzkckd7fqZxRCQSgDvqO+dmGieL3k2h9d85QFQtO9OwYnJRizkBWnukwZ3c8BAVMdd4C32K6nz1Z+byAn04AxDfHNtF2qMDpr1YObEcpkNn8wJHBV0ATi7FnESJPXK/cwDwmKhS8evmOFuG60bm0Pvaz79ztqQAQn9emM+zGCcSo5IHSL36Tj0vMUrc/xLb/DNHRblZa6DnytKEOmG+WCuBlMvuM5QwN3iuFx9scTWX5NO9D3KTzMm17Hds5UNJuR7mY+hOGSWiy3tKaiNepbqZSPXqkRjRMdUrjjkh183KVQRsiWLYU3K97yFTxfJGQehbzsMoxL0U59/p2mMw7pOFJwLp2q1lw+GJN3SpSPowOTByufZgTL2Lv5H+Uytl+Y5SQB3oMuqWbug7CsHbIic6Vs2Y5JNTS8sMQcl1gzh/HDvCBKCAhPBijjM1NEqOisKDsuu/c67IkM0t2U7nY97UoUIMNLGs1brM2R0qQhGLKsy35/zOR1HkUBlVcf+lsyv6Uh5Gk2r6GbL3UQaUP9p3U4dklnDhUnPz76zJdTOvRAu+Zr2YRxLOCIAqRdEetdbFl67TI1RC3bzZWG/oAR01t3LG+pO3dZS1zul5NDZ2H6FlTx7GR6rzIPCJSwxVbSjV82hELE0l6ZPkeh4B+agEuF0dMdVhIqALdlqQFv9CFl1ANSxIC6q/RERoKy/JCi6L+fRRUieZEjLuYtZXg4oQoly6nebKM/tKzPib7yvhrI1KwlyGcmZjiSB6KYxdGkH+680qlgpg8UI+0NE7hwIBPJhXRXt/tWNChS2io11JQZFzvR2s3IKGNJp+vSzQE5qv6zW/BmbXQi34qehZn+gta+YP97G64BX5NZN+PropYvk0RfyB7AaZqo9NbRiLigpRpzfsUGdgVoCmcqxBz/ob5QcgKTM3p2g3H8lEq5Bby6Yn/r6CNQVgjjqKxo5sz6QqjonDVS+VSi9Ct5Kcoz/FlcvmcYLxFwtzjY+gXOGltyjOYJCNxgIUMa+sXvGG6oBRcYeTnvTX5TRptL6oNkY94v6GypWoyF3Dg1C/WirmO5Gy6FRQ4qxX8eKLOkwuZ1tQ1CfKdeaoeCEFgP/01BReEQApm0d9eU/MBbqBEDyZ9BmCFggB41F1o+4er/ePuw2Fx4HCjTibN9UkBcHYKpawJt6TyEdlKKE0z53WxZG+OAEVvP22ccqtCQnSCU6c9OKlEsUYXal61lcMPLKTuxHyjEF3e7LVWEyI1fbEnEmPkgnfYupGNpdXZBfyiALLaNOb7iVQPZ0vTrPpd2bLoBp9rUXRcs10CtAQi9qwfzw+7M+TRXjbdy9d6oE5yWH225YjLO8JuVwORqXXsbFJCZp4t7n/slxShUw1QMMowqtrEiLIBzR76ok35COstygk62inwQguMAs4yYjqlH4Oj1SgO4gxYxGY7WiPOvDRDdGHyUrPCcsudwOQuwKbvZvDPdmNPJc63UOdhPx9LYPTAXfG6h0Q04orSI7ZHT3Cs3qEjrDQ9eQRLtc1lyHZvHCEQpzEs67jGxSIX38bQeacH4PtolLFzXtqYiW+ezinEEXUw4gJhchjvxGHcxioMEoB5l0p/XFe/koCVKQKMMx+H6iaJYSlPapK1R4y4tY/5eAHzb6cywnc5xS900NzCT1gXlHpSe0XWW1dUDqClK8TQy/umBh/xY3hx474ltmy2mS30amB2u7jOsZ4YDmkl0dlBgv0AqHX6qJ4q1Nic7kakBCtVDDxbsg940Mdmq31xIy995z1VDTtx+EsZSx2xCD+0POTNR9+eaXjwy9JeMI2WxTtC14B8xQCzD0UaavRKU9q7LGWZLPUmr8/kImrpQJAQE/+CSBnTYZn5FTh0aQjn6aKjXnXlDoIcitcqmomt3dUMy70mUPKRk9M1RO2NopBffYs6miyCF33e//ldvOJ7C6MhmZeb198TXdZx+N2qFF/A98CLaj4lPS692ScQwRY04e1u7rj4DJE85SUvdo2CqYoRYj/5vW0KZUn/NqKnLYi/ka5GMJjVThU8wml5IGlG1tEffOU+H9ToRIgT5QyG/gntpoB/WTHtYtAf+7Y+flq9/GWCy6LP4gOjj39qdLmPgtVTEKH3JSO9qh0IHqv1IzeZv00bsnexagXdAdaGh3Y4em+pdm498xjJaC8Qg5O0W52n7ZMzDXCGw169y53X68YbL0xcNKAFqeHJwu1XO7GNm+oCRoRpNHcsJuCobovPyXnI1Smlr+hUD5hmotCUMTfKFBO5E632Y3ZXH0hLfKSbSxGUX9kmySULKZtv1+UXAxCEYDcri4qpQoAPYnHlJ72+orRBRG1tMVWRcziJrUqwk1dzQ1ZNGYrOmf04wYmkwbm7Yju2dOedkCMrihIerPOKCiAPB6dINiNkWh1+Iw5Vy96IiZG9Gz+x6hoV1BQCmI83nlN9o2LaaVqRzZ+oX16yaDQjiryRW0tTY38qnHMStlZSaNh0hEzTi3eMkND+WZPe31G05qqjpWF3BYn3jm9YOA2EvEYj0ILJFwq5nig8pUjgq4wiHruWKvTSyOwXEqG2udZ9Kl4V/SE91R5mtgOstGaLX9QqdlwLXPWjHVPpWanwYs29hdvOF/xbISfS1TXgXyDiAiYQtr0m0W6VWN/SF+iXvRu82UZDQ+pMS0kfUgcburTM6hmjhVfBm9MEZAYio/vHm6e7sFpLdLk8qF4gzpYozWBWNSz/f28udswKKJmYmBDi+JJdIrJuRKbEXckOxSnvRKbA1LsQglS8hlZsP2QzCUoY4lsSkHRMhWyBRmfruasaJlLLzozihkdm1rpHdUVeewnZmcL3pMaQZynUhXtKVfVzPNMhDOie8N+OdeGKqyl95oG/WsRjaD7DaOKYmELJuBZ9ANTpnNAOpEPer8GJs07OqSaQkp2tP+TLYMu0QXT027JFxHYvmrY71RnTPk5hNmUOYSnPHZO1Oe72VH4qhUuLcKbHfVbvGNUFYunaLUMuqXAF8Q9RlJCVox2T2bFi41Y3BsYDc8PIaesd29H2eB4qM4oZ1bcIt4x9VCNdl7yEcVsd9dk950qfl6/aEM6LVluF5SMOvSDY31NNf9DK8ooglzv/AeqywHA8bLzp0+NUXcAsq/lmfbjZq1bHP51yJDDL4S0PCsY1Pvncz8MuvnINTcotRastiNm6l8aKiUKsvV62h9c/XOwySdvetrHhzUIjIaYOrynjk78H0PFq9xYQtgRz4UKg0skciEDoaufB4VgGtFlCvmCag1UcmWUu2krd1zHKjeTUzzGoQOiiWcA0Ipa74Z5GgQORbVlvvHTCgeqR1zNQyu2RjUNqq23E0NJ/lTNO9xD1CjOZeykOLaSuUNlcCnHfuwxd4jLPgdqtyte31MyeQjp4+I+5DfcciBwe4fe2uffcoTka7btzEv+3Em4tbdc8okMBqqHP3LJH3487CmsdJlHswlot923Tpse5kj5/ZPA6ecy5fur31ewuiC1YtZz2LJlW08vty+0RvWdXKyxQh5QUuNGqsg1ybGh82RPu7LQWGS2sajd4p4ikjgEwU53iS/HTsgct1Xv8KEj87JsQ1Pl4P15ay1grTHy0J8qtVhkWlhgfvSLLcOy7mwBGXwlqzEDVzhiAXRoiyI+I/HA4Tm5wOl7pv2VCgoDSL9kmGFTakNdADzQFfB/P/CO6qU7Rt/l9iliJmkBFb0leKcHriQ4GCoR6oH2KZl5+3mzJ7MIm/ioQY19w+UyozSgin2ldoyC9M3iK8WmB17LtxNzyDkhUdyxvyEh7Ju3rirmuKLKSIE504rXi70liy2bGLCa9nTWkemrzoM4hkURRxJB3iax+NV2rbS5QXG4D7Y4NeTDloqTIhUDPcZ74o+bh+vdMh4YKgGRJd4TfqBMHisCJ+eoFso9Fibxn1usmi/2N7sNl/aMmlwEevrBr7d3PxEb9irxxmRMMb1eNmy5mcPrS1ZPxdz6Z4x110xPu+J3FvGmAoqmeqrtHdOItMrRRmc1MQfxjCxrN5Yu9NSftruvK6DjYlRGVEz1hJSqH/vLNcjGfr2fKJ/PwhIOUR8Paw0CGha9phT9/W57f/WZSsZycsjiv6j93q/VismGAb/pQPfcIeXfKLcHBWrR6VW/v3RUqRmagVurWZozOVBF3KLmr58p4SESNuUUFZPcXHGg334svux507wh+jiWcokPkftDN1z08eDLALVI1PJcfJ7uXyQbjx5CinRzOvtu1nihiM2Xevqp63LklaxPcMJdq05NgHoja0AgiCL9D8REO4KGuGWVPVZDPj2SLaJWwmYKLqnVcq+fXn6uSAfqadfMHjRAeEWkOiyRM3sQon0Snt2Yf6IgvJAjnh2EYE/MpAGMT2Q2FkVL3avxLmZXbNBM9ZaoPp41k9VXg4vqA+0wllLU3lNmiUftWoh1drGYQEwQCW5DnM36+J00c6FW8N729jsJEILW3Jsu5diLrRR73qVEUB8vV+HsS+mFW0qNb7qUz5ITfgxKcX14TgtduZSioa1LtoYDGX8pS0LBGaIe/Zi/MHF4qGjE/3vSd0yPYbFPZc4hKFoOXnxsv+YqcJPUTlHJOcj69VAy3XZtWGgiD9zaftwDyIBZscWCjOwU9ccNFYBvQ7ai3hTxjnq3lhtUcg1ZEXP96oH7nWt9y34hY9UB/Fsf8xUVpqqibpKfbffPjNBvVfarVD00J/TRgj2iwrqnfpPQD4gQphmrc0IfHZ5L9JpZKaGf4Ky0pnePE/pj98nW9PaRQr8AVExMSL19Zwj9EeQOhZf9BK7OaPwFSQrdkf2LncLkaaSx/3mBufBCPPUv17AIxF+y4nt7RX3DvLJVseiqb9DTHTGjPcRyRccHp6f9ncvGsW1sZ9nv1y33KppjAqB2P+6r+jErKL2iQeCedsS//HeqOwAgdl3RK35/6TnAOrFmw5Hd/plMbkmy6qp2jPPVxpfJBLeqG3naIYD11WCexmqL3sFbSiOJ92HH8seemHpjQ4oKYIYU7YYrlTKjTVrqfA9oGfHka0eR06afAmcZAqgLiYLd+GtVlDBnY4vBz4XDmmUoYiyFkuIb7vYoT2uYCZU1wB10C5EVZi0GqRiAqK1Smr4cN2wb4oqdjWnsoqEcvaUwM9qsiqVSZ8RcmrooyxiS6Wm5S9kgTeIouSfUbwqgjDZmi159itP5Y5VRLk3vAFWhFNDhttWmaFGhtKNgtBLkGhL++g+QFUqoMmo5VT08CU4NJMh8oDVnyoMRnDEV2Az95KnsGMjCGKye+0qPcetgZgZ9WEfkwZFsuZxsCubkMS+65D7Wpk+JyY+EPYptzkfXuebM2yHmMfTe0TKupsHzhiwYmqoj/oWyZcUOdj71vMG1scqIqoqu1nMmq4raiBioBMopL9XMwAVSiWmNoy40rEAQq8abk/Nds3tx/wLKKg5lX0wGYpHD9Q6IyD31BxYgwOYZLZOBWMWQsDFinzra1wzEVQPUVgfom1dyPq9ajJhcAdF2ctpmCce+tKxX/JHKIxfDxQWrh534xWuNHcTqCVWt+GcSPNj5MWrcDX3QkWYlGOCb1RM/pSPX0AttdDNevaXQC9GlJDdFesc+RZdaoulp70mc3eBGV6fnFtT/EpLXicWZxsyOjvxEhrM5guSVqy/nL3oE+fbJ5qDlAtkGUA48FMVsG/JFC8HfGbscgIlXbfzn4K+e+hUF/fgc/W1HeWwt+psVixA6/Tn6q3n6ns8BzHIxPTCA7Akb3xyL/jo8dXZklEpG79kYkZraEx93v3X4F/C+IobKgdg8ud+B7AMiirnWGNTgPzMpP06cKZe8nvgN2VQwx4C4dUd7Rb2bZTG80Fy1p30gpbazdZzBZL/e5F8kZOa2HNXWc/4FkPVc1Mun3Avk7cfR5+9oafcCGT0AbpjtPeVeoBRf3Luod58SRejOUtFmWe3+OeGGMNRYZleNci8QbrBhdC864hX3QrR1aqN70VERokjMXgA3gmdPHPNCItEYbnBHRJFZDzd4LYkoU3mMNmR/6j7/dvHUKQTwERhVHDV0yUHLC3S5iWj9ERKSFfITKP8f//LVXfyP7TLofhAxUt3YQiggyBxfIMrzK3jhnxkTNPgxRI1GJNPvXH5+JGRZCGXsh1QUMZXwCUxzkd8iwXtiR1wn8YpEAAe0jOtomQybkD3yFvxkxc+4XAxxyQPKtsNsxQy6cRALDr6vpmYyRNAoUAwStFvraEV6Mc9CET57zFkfFYMxLiwbkAFdktoyJjUwAjrGju3kuoGvt1QtRRQ7KDvE93vyW6rVZwQevUiDrDeNMT1jFc8w4CmoJ2Y0ZhxDcsXqHaPq7JMVIdbwst0PLDqW2LHkxuYFABxnpt0xWYKqyXW2ZM6Dt4NYuz6Znhb5dszL10Siodw4v7QRufp8tb+lEvVDEike0yjVnr9wUFRrogx2SU3NKVoGsiagkNJVFxTtw5YRZSJR4oiVPiW9pmS3aC30Kq56x5gSs9CAFeirnvTdhnGBo7MjVIHeLgYfGT3Rc0Fsv6fd7v7JSLIDnyDeZFOaQ53+6R2l+RqwCovpPkNF6wOQCpFr15Mu2xhBBGGwXrzRnoq5lyGOvYYA29HRXlG3ogw11WioYRVjIyZfsxqVrecKoBJXR9O/v2TA7UNDYwuUynbEu89Xd8v2I/ir2ByTWvH/pSJUUdhChGftj2ntcS0GL8yEtN1+zC0jP2KEHWhntDtGSeF03Wzcz8xKM7BfLZAZXmhH8bHbPt5TbnAE5rfFu6DiStHsRNQAzTRH4JCO+IbC8Yeiyk/Iix31ci57QsNaF0tWnEEVpCYYMiHbrBjjA0Vb0e4v68VudoTrOhF4pYoYSC+JbsyjJKSc/OirIt5TYk6MmFBEQnakVBkZpF3MYQSKPBCbS06PO9mtCCSabuBbyqtAy5Tx+p67XhMAgVPHKsGO9poSlWmwT0W0L7SGtq+DkMSARKt+4A+MT1HFtXfiTyraDeVTuCHFkDXtKoBClLvbfAtesQbzcBFR3TS2R9ATNgRtkmufgr4KTAWMWKRiF2cX38AZEWCIeUSg6q8Cp1IiihJaUKzBvHlEcXQjAkezgZk3j4j+7Ip0IWhnTnszEdHWPLuQd4QEgpwvcuCamAnnJIcbGWtQfHY6ajeT+HWwIaFcWF1L5lInEURZLlc+cbcM5c74J0RvIpFQyzLhOlsqoHSmn6CShAyCSz6PVkVHvHyxEdGp4hRMZm24qF0AEk0Ra0+NxwRnQ4YRgwfJnvb7LaPhiuySL6hF74ipJHKYqCl7hx5SU+JfmELriCdYC5C4jvbXm80DI8sANOBGKL6OnImdIYZoY9AjX+2YR+uICuDqAS5yhDPWRFlFB6TqFX8sh5+j3CNxfWaM/IVZqij0mkrQtI9U1EtM3OyK08SU1M7AL4lZX4Xd1Z6qiY0oHwwtHt1msxQ4ynZ2sky8SoxK8UFc0Yt9H0L+TAlbIKHbFtVdeNxRYLKoy/INBt+E2jDhXJHSQBFseqcGxhGAnZla1KLjz8yGAQHDxtlFYByvqXxPY+fWZ/ZYAVtBhzkrhuKE7DTMgdYHaJZdRxjcKen9lxWRXoeQMwIdHRkVYYqif8VxKWrI67VQRxlSDUEvknlPwbOAGEt6xB+U35Cwty6qlb4jQx0+InW+p2Xy0qC+coQv2pFSjyAliUeaABfY0V49UKGwWkREzXjp8SsV/xvjHIDU6vh3Qyk+oUgjWM2p8zVL5r8Xr1RvNIUpBRveOvQYUvy45Z4xwJZIulbT3vxOmeIWnfDUbhtOl6BJq9xcfVLT54DTOybCyecEtLp+2mQhPBRRyN7rwZnyK6ij5ubiiuoUhJ7cTyBaHYeR4ORurA6Y3QzG70leRvY2zG4VI2WhjEQTlMRc55lGEZ2fZ7x9AqLhtEYR+endS8471VkJcR60OQoH4mPm/kyjiIOTMN+OaM85GICeRGZ/T8xGh8RYaFkt9SMZHXIuIeBxzkrFjMwVGaI91R0VF0IFdwYYe79NXCSsjFV0aqWjUSaW1dTGcegxldDBaGz49/rbhDFsRYO/l1y08PrWX6nvoJ4voMV8953Ln//2t//4yy8/TzTdyS/UNvbp8eoLv/7lf/312ARMTx5R9lRGIP+O/N//z8//+bf/+PezHn86oJipV/2XO/K6yIHUPENB4tg3D2gcWRTczact9fKWMhqbzhCjVoIBKG9oM2ytLZnx0KJHsdE5SFEBJRGpOY25dPf5HfX4U4ec0dJJ7TDz9hORMZMAsq0RkL6uP/2IH1PVSrd3D3v4bZSqRhZPyF7jgVGcEQHYUHLTe3ZPResQKMuzHdvuN9QrElS1rUnvGVM5Kr6jBUd7zZPUU3KCSSeb3tSWPVJWgmtjGyy96g2l6NE3bMzbYi5Fn+oQ8iAaqOjtohI00KjCiTB8m/Q4yLAOowaJEtSrTEICqdO4Rltmw0LE80ioGgZq85F6W0lD9nNEJMpaSCJwbfAamWhHMUmQa5VymWI50eWAo/6trc5AqO6o1xVUtAE8mFqyel1B2l+co1+t+OuoCnGiJRWW0vbzD+p1JSI1IVcNgETRymLbCIXYjUxJH59GsKzAonXNgpIyNrLEevJ/kI6ZFSdJM8fjR+4VHBDPo57qRv66qI3xspIygnvqHnGJZcLNIc2QtihPsiYRPX4KWmf4pDSHzDAkEnfjPlKiVjSEi7XqSTNFL4hMFhtn+Hx3XFgSL6vFFw1At6WikmFIZYRA6q4DlV+FjDbvZ9dhqhNPFxIDTjGgm4pa8mb/EyM7DjqiR7mibFuxsp04sEZBAFH5VaOKcOLy9JhT5pJMwRPbFhUoat6dZjRLFqetJQZ21Ua9oT+BSPRAUR+o8J8YT8llb96w3Qik2dpmAzNvQBZSD8+TCiDq/v4L+aSdffV6v34wQijgTuZUlk5q+R3ItVo1nBpZBgI7OaaSywymisjVjAAb8QiIqalvv5DhsDxmaqihGf0qhjJg6V2YbRsnjUZAIjcDoSMlWROjVUuEmw1lJ2dI/hmOHBtCnIijDtLmH6JjGYBmxHscQEQ1oA/pbPuUo1NAQnd0rEiPyoSpYa/Kj0mjCJ3s7G60IGs1QtN21B9WTD9h7JxLi0ZtExfQB7xy1ZhJKy81EF7ZFz3ROyqPF3bXiNFxNpSZ2AJDRKsjcz5DRI/uoq3ocT8wAhdPaOIk62N9oB7dkV5eZ6hxm923lWypJyisqBd7vXlg36GTHtZcfrh62JBJmqmE0vSsf/rw3BjCLD0II609aubYPFDFBCGIdkLZk+ZIxvRCjkLwzVB8qUwv4Pa66mfXnkhKjdCozev7sNv+dJ6Y7JBnPj5eMykDBqYXQIE0IBIlJVFsnKPCy2HLJlxzQcMhcWKyAJ5vBmRFveaFAshxB7zdjvjrSlhyjKc/YwNOcIyoYEBF44r5Bi/KSLlBsSWv1/iNigH4oT5V7CqcJ+r1zQbEfJveIMpvgogFGJyGUHq43ozdXJclVnx+QFN7/DCclfqmaufza5D+l4PwMmtZxLa1qKrSHVUzIXziRlTp4xX8VLmgwe3Itc0K49nHHwswwqIhCFg7eawYbHOAkefUwTVDWfinJJS/aQQCqnjORYC4FA3bsL17IFNma7EzAIMbKhKFGKeoTQ0Tck8pTGSfBOS3LUInmCNRpBEV72xgjpjQLTa6ZDR2DTVdsEgb3zom1FwLvyhOr3PoyEvcDzOPJDWxhbw+3k9UXkAWPen0vaQcGQSSxHP06mzJrAAgMfms78NytG70u0KOmhcZlWGQ2CYeesxnIXHgZcLWXMIboH2SUMgN8PHktV309cb0zjRb7HGlcdqC6VEi1pWGWC9CEWLTtNsHMnerjo/ECheCopX7Z1M4jWxhlso2nBt7gHS0a20xzFh24UObISpwtZdjoUlReBqXaw8DAQWLVq/zB/Wg6sa21Hq6u839bsOJ8wQItJA1gAWXeBWRKB29Wi+ZSJvQoSnPEFO4EgjkbtgRD10dMBUrKm4A0GdT1CvpziUi4ls0gMWWlOi5BV80gAWVUl7RG2G+U6/JIX//f4yhqAMNCmVuZHN0cmVhbQplbmRvYmoKODUgMCBvYmoKPDwKL0xlbmd0aCA4MgovU3VidHlwZSAvRm9ybQovT0MgMTA2IDAgUgovRmlsdGVyIC9GbGF0ZURlY29kZQovUGllY2VJbmZvIDw8Ci9BREJFX0NvbXBvdW5kVHlwZSA8PAovUHJpdmF0ZSAvRm9vdGVyCi9MYXN0TW9kaWZpZWQgKEQ6MjAwNjA4MTAxMzM0MjUtMDMnMDAnKQo+Pgo+PgovTWF0cml4IFsxLjAgMC4wIDAuMCAxLjAgMC4wIDAuMF0KL1Jlc291cmNlcyA8PAovRm9udCA8PAovVFQwIDEwNyAwIFIKPj4KL1Byb2NTZXQgWy9QREYgL1RleHRdCj4+Ci9CQm94IFstNi42NzIgLTkuNjgwMDUgNi42NzIgLTAuNjk2MDQ1XQovTGFzdE1vZGlmaWVkIChEOjIwMDYwODEwMTMzNDI1LTAzJzAwJykKL0Zvcm1UeXBlIDEKPj4Kc3RyZWFtDQpIiTJQSOc1UMhU4HUK4dUPCTFQMFQISQOKhCQrAIlyIKEQUqxgaACiq0BCRQoWQMoASOqa6ZmZGynoWiiE5PJqGJlZaIZk8bqG8AIEGADj+xGQDQplbmRzdHJlYW0KZW5kb2JqCjg2IDAgb2JqCjw8Ci9MZW5ndGggNjcKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQpIiSrk1XfLNVBwyecN5C3kNVQwAEJDBSNLcz0zYwsDAwNTBRNTPTMgy9TYXCE5l1ffPdhAIb0YpMsQogsgwADT0g43DQplbmRzdHJlYW0KZW5kb2JqCjg3IDAgb2JqCjw8Ci9MZW5ndGggMTM3MwovRmlsdGVyIC9GbGF0ZURlY29kZQovQml0c1BlckNvbXBvbmVudCA4Ci9Db2xvclNwYWNlIFsvSW5kZXhlZCAvRGV2aWNlUkdCIDI1NSAxMDQgMCBSXQovV2lkdGggNzQKL0hlaWdodCAxMDUKPj4Kc3RyZWFtDQpIiexXiZHjMAxTP+yH/bAf9qN2DgBlR/6SeHczd3Ozmn2c2JYoEASh3n/H76iRZtFas+bN3cNxnc3N+E3yAcdXuGe4of/mvIsLx3uW81QvlsLkXAzzvXry5waWc27Q07g8Ajasj01Ej7wbhl4Yb2V96N6ju661FPELoXk5OyKIiEQk0QIv4ZJwAnZEuUKT/TWgeMkwdo9tP3IZY8a0ArPnwdfi1s47gwUT+AeTAUpSAZODMfFmOtenGlF7fKF/ghOwzM8THfIMy+EaOwjFwD1cLAHkmd2wnnNQmec0fR53az2Z2ZtIvTuyVbQsCBDAqvYAsXfzY2TZZ2ac3O5roPF4I3kdqUUAp3E5Ui4SP8n1ZsiDETG/RBqsOSQWX4pNyDl49ZKj+SHo+qt1z7818SnAWePWgQCoQnYReD3RsraPXLC2PJEMwLSfKVhKrtdmlu1Wzk0sVJvbgvOFkVefWEjKt/Q+S4rDS602cjBpJtHo4icLD6/aKn+x8rHejQvUByyTdAqL4POIRqRPCl9jXNeMSXUp5NCprgwoqqHcAGfCJfqiC1BQIoOcYr/avcoSn9n5jN3QVadt1+9OB0SDO/vZVKsWEWOyL3PT1AmrdrNVOmuKP0IpVEcXStxGaHdqNsF+aCUJ6RIH3wp5sM61dS7DRSkdgh7fAz1TF1URcEp+YlU0NoTNTEgcOJRS7mTrY84vJfxbY0EnpKdEjbiZ2v6hTz4dRUxtGNMVQtWmVRjTg+xLKo3mejqYkaHszbl9QGxvLJlSIkDNt0MEl/filHHSEe6Nr73P3FUoJAsT/B3z9rRfQEYALmxRcFHaUlEUe9/7GyaEiSD/qENg1abTpKpA7ZUaHyRAZYOE2OnFo1Dzk+2quoWnbHRFA6KE6GJbe6IW3YbqVHXJJURVeuh+kOWmJ/WUifXHjj1DPhlXrVgEY3mPzlAOWRp7QP3pYMqKq0RdFkMxlh/+SNcjNUxNGqsm5YWLbx7QucaEn9Nuy10NKuza5JT6Y7SEQwootIBZMnudhU5HMc+z7Np8sXNaFTaycleMZspG7PyRNPOdg5GvOLlElh+VS/5ZPBEZkTKdCujukHr57DqU3JiJMjuo2lSgw3UKtrbVzJTtqFMlW4/Eb33Exfrq9F5cb4UagTvm7pG9+4e603EyCUVYroCpMyt8fKR4g1O0yj67b1l6VShPJVYVXJ6nmoY9z+dSrfPR84OnkrfH5ek2lCb6AB9El04xiTtfILkvI8MT3kHHZU7JlORfK//JPkzs9k5x1vFDbHJu0gEGlCI34wsl6Jg79lw+ZnVIC9PJSPdpwVJ2SpNQCVQ+Yum+gHnEWjxv/ZXzPfM+ufl7kPGydYijAkw5hdVO69RLJFN0HDkQ7w6uRzKyriWwfDXmXj5nsJfuUvpadH9KuUdu8kcEKnVeWpa8ZNudKYNut/qE4KIZ0DlPOb7V76xOI5KC6nX6VKBPOOWwNOWTm3qHz0pnEoI0mWZRL8ocSP+OfIo9zc8a/v7suY9+cJxuxNgYvSwsf3lfNBviLff5DJpculRfOK7MPeH45UyD4x5RJxS2kZXjhXGoTYSu5VlEuYM5XjkeS0B9lpaYYnmK1G48ON6bTq/KLG2xbA4tmklj8ugzT3e8cJyqYlWzZKW9cc787ghxmAAao9fv6LohIStnYvpIoovpFaO484mYqoBcRJD7UP8XMhJ84htlTrxOonQsVYubkOqMoO5LOwIn0atRxzA1akpmZct1xjIBL8PynhbkspQ8ioo/y3EOg6/zyydwSpFN3ra8dvrjXCGLaDocta+eaD7Ovt/xO/6NEX/bSP9X488AM+Ic6g0KZW5kc3RyZWFtCmVuZG9iago4OCAwIG9iago8PAovTGVuZ3RoIDE5MTA4Ci9TdWJ0eXBlIC9Gb3JtCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9NYXRyaXggWzEuMCAwLjAgMC4wIDEuMCAwLjAgMC4wXQovUmVzb3VyY2VzIDExNyAwIFIKL1R5cGUgL1hPYmplY3QKL0JCb3ggWzAgMCA1OTUuMjc2IDg0MS44OV0KL0Zvcm1UeXBlIDEKPj4Kc3RyZWFtDQp42q29WXMkR5Im+G6/ArtPSZGkt93H7lNPT1OWlNlmtZAj87A5D0gg8ujKBLIAJJP571c/j0CEm3p4+OcoVkm1gOxQNzM1Nb2Pf1z959U/rv7b71d1aDlba/OVlf+e/imFobRqbbwqpQ7ONxuufv989S8/xcFeuavf3129evPKvfnhB/P7f139+++XPpXrkGMq8lf3qVc//XA1hzU9bClD8dUXp2CfHr4+ngPvlzYtDLlU+a8GX4e9amXwKXs/2bYBLLHulbNB/vZVLftxBF06q7N5SL5YDXVHHNS5OBQX9HW9+huzWW+HVpsP6qBvgk8UeBhSjCmppZ/xZC7BBitIdk5f79vz65oeNg052Blp7D71WNZLRj/45mMw5+5m5agxDjWWEvSS74hn4JIAh1Q1nu7viHfgcsFhg175C0MbJQzWtub1wg83B1ytbLy5oRXfmsLY9cfLiG5tcPLuz5Kzubykt2UIwRVNzl8e7glkeRC0j64p6NuvN8TDNwI5NKEuDf4PAlc+5qFU76J6S1+vGeAkDMC6Gdv4dJFt+NQGm9Ps/X1kjprdkL2d0STDH32OQxMG6dRRv1OwsucYsz7pcII1i+JEJFN21sqeUxpqbtbvJVM9SqYP958Y2ZKHKFSdff+hV7eMZKlpiJCPTe9iKh8JTFRBRPXWVrN8muuL70yemS85xHjaSS+n7BCwUys4/iZC343wTsRNFMxPtn/zGf+fwYksKDG7q89XXjAdW2vRTP71p6vfRHm4KPzyUGtUWH1m6WayA+eGUDO3haszW1ikEYhDl5x1ahNPD0tXYqYCzQ21BQ289WqN80Ijpcy/c7ranxj2G+SNulpcTyGvXlOwSdSC7IrCw98YeSVssMba9PN4zYirmIYWc6gK9s/XDN4ERDS+2eVREjrVIbpqq3oMRxk7oT7hXyn4bhmO/sz6ExBx7VuZ09/9l48M+qoXIFlOgd8w2Kvy+lL6Z6lXxLcdYmjWLTOmPykSFP5UUsxF3QijmXrhJM1VxelFcSHEhHdC+i3OgG/mlAB9IYRmXsyHluWr6MZiC8zo4D+/XubpPtohpVadQtonSgUJQ0x5mQDMqzc/iOHG6CNWtINg/RIDMxQT8qL4Fm+jZkKPjCoH5UYMFH+Bmn8gjAVfPBCag9rDm1eBUZOqHYpYOPoElULjwZSGOhpEwRO2kMbL/H92DzsCvICVRhvzCXzPSwn7qsZBNNKEx9fBXtTcDTiIsxUaRQfFWL5icdeSbQrqsNeU1SyKty/Jq3XfPex2jDHpmtgpGby/A/+DMSZ9FBYQkkby9QOjRkPMyuaL3vj12zVbVMycFq2mjB3FWFMZknC4pG/pnsGVKOA+BbeNMFwRlUCsMk0YjLngRNGvoYCldWf9eveRtEFz8H7pbi+etWV5BTOy2D1QDEgs0VR9afpqPzF8A16ZmLNTwJepwjuhCnl/VWGKMqxE58wu6Av6x9frOwJTXtQ2m8WY1Pd7mSx8coN3LmjyfxNC3t1S5qD8XeWezAZqFJ7uBlEsfFDLUg4G4ei2taq3/PRhRxDFhKP7PLiQqXsV6z5kL2qh6aEY1pit/CmaUFErPrzfEap8CYOvYhMFBf34RBy2hiHl5OBf6IEZK1nUYJEFSS98c8+IEhF81gfc0TOwIX1eoyiRI0OD7hbeDcQzmFyvFVPEpYN34s0rf17gm7MOb3hGOnhC5TWlyEuoQiQKFg7vJ871LDJfGKU3/QcoLiv6dhEWHdXid4y5KLyulQBq62B/W3Ija5vHe8FaaRr+kbK02xBShOLQwb6lTGTh0SG6Cayh3MhORHeqGlWUeScaektuhubdO8o6FuDQfFLA93fMYbNccPS5qcNST0pUaGHycEH3Cz+7kc0l4W1rCpqmrxlnjHCBXGPzZ/G8vGIVkd9cM5qQOaMzxuj064Xv2RACWASLL5qKl1zPWtsQqrJO44lzPIthInZ/VCf+ek3ZjKkOLtfWE5VZE8AilUoQrUzzKuakWSy4NHvt30ltQZRfq486MHJ07zwW1pyrl0eYJiatueg8vjrrPC6l/9DBebyifRycxz7qXZzx0Zh15/H8O8vOY3PWeZzVKR7PuMv27uLT724+m7/CR/LsLjb9Dt6e2cHBXTzdwl/ksT66i/tN7N3FZi3++ewu/ucu8+QuXrzMvxF+r6O7WJ3lNcNsj+7iHvY3KjYqtyP2nb5IypQV5hWhJfagf74mw6ol2aZJ+KN2+Zq9y1fUutY4GrpMxuaMaK1xTkMLLt+Z29YPIVZRWHvwGwZ9VSyL6KdLmxe5fIWfNJ/VEcyLXL4iybImIybqMEpfK8ZGD3r/wMgUl6D017SEw4nL17Wh+gnNmL/I5SsKgBd70qlXwDh8bYR3pIf7xNiyUSDiZQZ0cPiadYevc9b6ZRb0mnEjyJP0tsSyJFUuOWoRwGltvoV1h2/HyuDwtTFnzVMoh+/oHvBitxR1jW2jw1fWF+0VaTnQpn67rE5lN0ShXjEppmBXrz4zJmcTAZbLDPbyisUNYqXa7E0PRSlAcdQcSlIrXj8Qr1wUoAQTWQNT/giklQiz00e9Z/LBRNUQCisa9s0rR5nHScSHq+EEvU+U+oHiig6Gea1Nrf0npRuI7YVw6obbNfBpF49YaA/1SAadY4g5qaNSbvwgN2Rb0kh+90B58WMbchDqUNA7xoufRAYLwy4K9g/KNHZ4Qi0ZTc+U56QgdCE2vXryqxEARGhcifqOdsMmN2SOEFb+xOMYPmWEaTTkhRUFz6h7pQ0hN5smsIZPzIRvL4hpX7xa+omgELHtK2LrTsEy4mU0NkoG4+lgOe9Ykzchgs30sJTjxWHTTh/3l9E5Zi4RCNyXYpj7lxw2iFmTrdf08YV8xCmI1qMOu3t4d//w+TJN5yQiM4DJdqDXdzeMPi+UJVZQ0AfeUXkTVV5Tnh2Y8Y0Z+bFoj6HpbX/4SDmN5C2lWr16Du8/UEEbUW58jlmt/A9G1/IgLE3Oi14fo71NTnQGd/YxXMovgA+xmvNP97KqWgYrbEOf9DtjGQhzl1UdRc0zb5ODc7lquuAyYMf4f5bnrwl6BVG1iEUoXFLRxN02FTKIYWjdLAH2ElFkhJUthEoHfPv1htGvRCl01UGIdtBM6qy8vyD71rv+zEiEPNgUkap/hN1rHHekZpbCaPl1C399d00lDoh9I/LXK+ibp68PlCCeeBUd7Di7l+JESqp6kROv4vRDVErqyato1C5elpIKr+Lzd8yLUlKzOsXRNTr3KuJ3obW6yR1jiCTU05c7XjH1KoqhmIN52RbWajKqr2oLyymoSt9PxVp3An6ZRwfaQ4rT72iPzm9sHmktwWl8/kLlkVphg7AkOlAujVQwKCI562vckYEyYSdgoR3wA5lGCg+Gwv+rd5QhIYp8PL7h47pHF5ZZCbIlkVZOAX9m1D1IqaiW3Z61DIskOP2VE8H8QnoShWaiM8Slz7yHAb6XOrv0B8p9KEpcsUm/unsE4H5l0kZh+Ipt4dUH3jE+p5BRHvRPXgBcgfHSBVA+WC9mNFKPstEvlokGIubqrTtzErPmg1PJm17+9vo7wnKF8Rp86P+gAn4i2SxqRBZwYl59oGKkJQk3rPP9dDdEEFmp0ICX93Nw6qzmIIXx73BhO6TftokiH8KlDTF+W9j0ToROuEoNSVHufCBF/q/oeakka5N5/uVfJTQbokgClbs9cEGUUeiL3tvKM7ChQyiCN9lia9NlNxMGJH4UC0V95XQLX3ZcRLEMFcpwh4N3jMAMAUWr1XWQ95SEF2PFCSGZKSQlK8W4kXUV1Xxmzpns4MVKWUY5Ee4UKV9Fc19A+C8M0kTYl5Bjt39KUmUva4eaO5x9eSD9haKbpNpf1F5KMWLODVbsDb+ZQvbZLRTOL6S1gsks4pyTT06YTSy5x90vZIqrsM4zJzC8ZAp2aA5FMt1X9nJpFCiUXBod3XkJD3uZtBq8q4dynX/mFfjk98U6i3dC1VqUIY/OjaWt/MDVWmQUOlu7SCBUEViTW4ZNfZVETIoNIUyVLxsSbHiU/hxhDcsH/Wg32pbUulzJkYP3wFUFe/OJUR5dHVwttijgu3P1SqKit/G2x586m/6ybBzv4aETDdicvs0FsKMYLrZO98QHsMsQ4ajuYV8UwJZdjEkY6ktbA9hVFGAXszoMFcAWodCKv3wYKoAtb8ehOrnfw5tX0VIRbChzQkXqHrcEsK2IxIx6Hvw7RLNQscQwd9GPrY9wIU7huehOdUO2Dm0SetjdAxMHbwhppX22/QT6jA62Zky7gGhtbGob78hgTxYEetPD3pPdNNB7wKt1GeMXemNK2anDUwkEYzeNAptPIW5dNzA6biT24zL6f2GYf0Q+XotqM2QuWR1V4AntGV4tExEoZlSKV+dvzqwEkItIPA2rPA8Xgldw/iKEvJniDDKs68tuT/le0r521CzeH6fd2TiUggyw/hIo/U60SxGD1i+dxZA6nsuipbr5d45aHrwPTEa3mOl76bSEE07TE9ss50Td0UXhJJaaj23+nbPanrmUNRb3cmpxO52+d1H5TKkWzXYedl8edlSNnYi64r3T4mJHhW0rGBe6FylZ87hN0Mmf8DEd6PRYtHIhWcu2HHw7QWoVwVwKz+1TXHrYL4RaUPxYrQL50MHuHhjJJKqAF0ouxfTQjGSqRQyVVvWmRSyby6Eg4choXNSDXd/dUBF9MRPBDOrV5g2P+U8BcT0FSwUUA6JC3gdFGB9W6k7C6HWdbfd8GsDMD+FRRez1fv9BBTuy/I2gQw/LlX+cqoH7064c9lgN3K/JJPE5uGJjqPqs38lU6Yw8DfL1qAQR6+bv/ZQIcLEVRfVWv/frj5RhGNEKq20nRCNsUTRaFzXsQiesmawQeS5KbFPn5TphjSkXNo7mVLf4Z0ZMISju6gxfd1S3hjDawnrdr++ub34kkDZh62NudH2mzK+k/ZKGGnKMogZ18CvZtFW2ahFw7KEGpiLIopfW6FTrYKn0g4aMjeT1aa+5rAuxEkvL6qR3ZI2tqygI7GGZZB7k0omZ5JOC5Rq8ITwu1FH0ymSDN9Rfip5g9UXdU8ZdkrfcRLE8AdOqLUwExDb0wgwPGdsVpfEpd7CPTF2PcGqfUcK9hZ7RNxDZ0v4ltCE82iKCrlYU+Wmo6HFGazkFTEnR0fnXmtVn/cdXsmWDrD3G9ragCkUfIiF6IMOlxHmkLvlcZ6+IaXSIXGmkwp/hODyP9LirckjS+Q9GruSE4k0EHI/A4yP4RnHXInZyElNbrfyNa2gjqk6tQcEy2eFoISJcMmcF+/WRSiexov+2WjX0QseImWtGNi7I1gi7ZkvUbWnQH7qlKa9EEKkU0Hy3h6Wa4giftDEhSMUgexbbS9G5ZHpYkeBUt5iM5q6C7m5pw9UuiI2Uc/Nebfv67pbhs20fGvLsPRvdLsbJ5jXKRK59obS9hJSx7BZuei2mFX11WZHYIwUrFJZF59E3fUt1jcmoXEgzjKFlBZWcK1zMCr/Xh6b049LkbZSsmckTVcUNL3n1ZUpmI85+3OY7cG5I8m8P237/ncm1EN1JpAxuq4N+YvQfEa6iLLagga/vHr9RrMwPwY/ewg58R7lI4RjPDQbJM7CZcu+rtQ5dYbRwu4U/7J4oViZan5gkbQZNpRI69Nwo+swPlL5Yh2rRjbiH/YnMJLRpFDodusg6GVl0sDbBMu/JhMolHFtXaSKhKkdEzsZckSfQwVJJOLXISwrwMXWwd6T/OdRReetg1+tkoPblWkJ9wWlRvJFy1FT5hXIyR9Te1mb0U1otk0H1RUhlRlXXjE8a/VVT8fopcE41hCiFpKKGJhku0szd7Amv1UKIRV86OubrYyacFianTYc1n1X6RVleRJSLLYDH1wF+ZBytYUg2+apAn7jeIDWKNSAvoINlmptUBE6SqMdq3S8EVYjm4mJ2pSnYM94tc94c1xi+ploXuDz46pG50AHfkXpxLBNIwzu3oNpaNPbql312Aqwmn6EFedO4+ny5pBZNHkIomqC4IhWhCxG6NavTwqu1WGmy+BTE2BuETR/C+j8R5DEeOKDtVA/7cM8EiBHTtxmGcQ/95lWg2qCaVkSk+OiT+kCnll9QHSAZRJCeoA3detLhb2GW/cJTvWHZHPBIy0EX7B74nmqnIgpLRUa4QjhlQCENvDUfTQ/8mVI6HEKEIr572PCW8b6gSUpE0YW+aFeoeCDqEJB+pVFGdaCpGelHUcNS2mXzQ0zFVYWxHdmyJKPyStMIJY3BPW2ZPY0/qJ4l8EXmpIlzR/mqylAd+jOTiD47RUFQNjQxHoNhS9YWpigcPzRa6ltK1mzrgLcnXh+nKOjvnE5D9XJCfwgn/xD777z6ylgYooE60Y6Cgj3ZwNOiMztMfndqPtOg7IdZ9t7hXxONrAJmgZh+B5SPSWgJjsT5PZhN9WZ2SG3xFgxnMnkI2Va8QiRVMRYsugyLntnD/o3q4jzGUBu17pnuVzbD/OieE9kvKWFEB+zxfuGPjJEnGkEKTVP+2YEHogBkFANOyOMvIjyDVHjMXdBHYAs3xranwkYU+rjuV25s++2WeIhhu1+hKY2df6fLfSLkZ4tDLei5TpDgmeCFDS1pNN4/kGn5bcyc7IHPtr9Cnleb4luTgnkpD0Iis/dpikdDZRAjA7HKbartM6N8fEBBUlmmgeXkdTO3rEuM1i9TAaPHoPyuRhf1s3wk5yWM1VzmwmGosrkiCEVUqr+IN68iWSxXMzzZ/QkclYh96l8QoUA3d8llZs7aKV7DLtgpuoHy3k5xVUGLncJ17zrYKaJ3d/DbzJR+dbPJTHFq55vslKCAt9gpGmWb7JSk8LXBTklq3U1myvyeN5opUX1gi5miYTeYKV7ha4uVol/GJitF73mDlZKvtu/52UgJhkTz2b4aYtogcjBhxi/s1tt9aGu3XrWLF3frnZ+mM1JWCPdgpJSmDvOVIdyDkZIU7AUj5fg7KAjmrzRSuh1sMlJm9/AiI+X8LRhyaOrRSOmOsdFI6WB/I42UmGpNzLpnWHVKeXKnG2wUKDTFwSvUrXusDje9oYGKI6eIhzU01qosms1WsQR6spoYGrFYffvkZDUnmkGwjuADa4aGlU04s8gHyDa7EQNFclH3yZVIOvQZ0VRETlYTwWn9jATP2hkIj/VH/atMTgiW4vyMEhg7w+VanUIblS8whhziMgnws9XEzvDBW7fMhtg2H8Gj46Xi51S9b8Dw14v0zNX7FkFomfKV50pFT2ZwtKxl/NZCxSAiHrSzD6kwbqZTOOQIq8wMs1LiuA+H9NByaEcZmni8tWD0bv8BqjjaYsiEPHy9NjmaPNvoNMqipzCOFI5YEB3o1z6YR2a9y0SAj01BP33Y3T/sqDrFMpawzL5Q35KzMffRhZcgDlmp0U0vbERcKFz/X2+FZEpqmmK+MbVjbgyTZk0sVLTfo/chXBE97Idr5nEGh8Bw0pv+gyw+KGjGpBC22xafCOPAm6oruc3m+ET3oS4+YdbjE2oXayLfLMUnFk6z3BfOnI9P9If5Sj38Q3zC9LDLqv/z7/wlmW1eoPpPvtyNhiZU/w5y8z08q/7qK5sGMpuT6t8fg2uk96z6H2ENPWHjqPovrmtWVf8e9E/K2XFU/Xvgjwsxhr3qfzrfXxbcelb9Tb+PDTGGveo/BTd0jCHmy9RnSMX/AvX9+ZoaZwm1P2R9HX+jMt2g9hdNQUx44aD2hxoV+hfV/jqlgr+MhZzU/n4bB7XfrKv9PRzVm2VU+9OF66eUfnNS+hdJYJPSr26CCy5A6XdnjmI2hhYEmVkj8xBaMOuhBYzr02QYKMV51PnHJsMBfXBsPkAzrHuv8488oIOlQgsHnd/VcoJ+DqjYLaEFp1YndedDaCEqaKrcdh9aqPrcH6jKl0NoQcHek2XUiCwkhbFNkQWvFv5MhcX3GVBFwYZrBlsZMfU5tt68cpl65+hh3xw64PcfeM2GoVMIUaHsGzkluUV0j+3XpQJIbUwB1bf8gRnSCNMm1dGs64ApK0FUQtdSEqm+tOfLk5KtCMQZng1nYIx2pB2RZt1Cy25D2RegtOmHFvKfzBn7ojTYhP0uNnbdGe0Ld+Y76/ZFd5EH+yIqrGyyL7zpYS/YF8ff/eX2RbeDL6R9kZvbeg9mPgtwVK+WbuE3bgyfHeTksHa6c/xCduputiR1CWx4wNoIPb9H347q8i1/gwYV8APV+CKIPoM5FD0sNw63YlxI0c+PUmkdMiRicZOFDR27FiWm5FHHPU8ybNoRuu4mP//OtGUWY1tEtL2a4fA1OTZFNLGqcfiFKo5qcOmJ3acv4PZXkvvX1mGRbrS+byH6z98AirdbuHgDVOKXaPaic6AUkXi2ZxKYXA32EgOifPFR8DlWr6rvdE2vCImePHTdSzhhWm4bPzZFS9vF26wBeAjNKtGy2uB0ZnfYIWWviW27ISdfEiM02PmXthlyaF01BmBE1xzAeA9uFaPlJVIKa0ZL1edfsk4VsyIx5fXmZKdf3hJNRS2oQ7/tKfANGckXrdFM4F4w3MKKJXjcuGH7PM5q68WyinVyBMN1ecSErJxrd/Z7cqqF9b51gA9ka8MYgwtTtJGJVhkt2q7m6DY8ujPKy3z/jY1CCn0j4Eeb7p+SUJhvGTH8eQpJdtoGZxU1oUMaJ53gasu1v+F3jIPDCqrCOXRvaOlsA5riLaH7z9dk2pYNJfdo45owyt/C4dziC/2BHGyGAtHuhTKSSEnV0nLPJLsMMGr0Q/RDikl/ZaumELOYOO3MXo5SiJlj5kaFzy+SB9vruKLjsl0kESoucGyzDaecFSuWrZY4NdmeQm5rsX2ANCwDPDXYnq45ba9tLhH0vr32FPRSc21z+OFfmbLy3Fz76vTtbc21j3B8ysqxuXa35ktSVo7NtdWXNqasHJtr90h4JCvX9821Fw7DqsnH5tr9Ht68ipHqOXporq3Bt+WsIByAz4QX5KwcYV+Us9JDy6nDxpyV/gObclb02ptyVnqUxbgxZ6Vfe2vOSg/9kpyV/gv1mspZ2fuD84sQN87hsqUqxPnI5qwUdMao+ta4nJVxvFGqCpbNWZF9Q9vsYMmcFSvUgvHzPTCbs+Jdml7VS3JW0DPapjhnkFtzVroPbc1ZUbt4cc7Kwmk256z0h9mWs9LDLvuUn3/31+esnL681afcQb7Yp6y+sjVnZdQCilfHeE3Ogk8uuhMheL7jJXJWhIXV5XUv56y40X7oUc8NcBgHQ6GUsofmenw20QFtPZHdhpAnuEDMLah1qQEOuWJAnb4kTsagCQsSbzZSm0ZbaUMdu9Qv0tsv5BTJkjHB4QX0JuZMzZjg0NMbZ+63ghFwqamFTwa/WcuzdDMsLhGN0e7oml90A73rVaBRWbaIf6Y4wIxmc0Lro/4kv5BZ7rnlHv3bjX8xWoIv+hww/80G8x/DBVxbwgY7+VHsBj8Gay7djaEc0XVvuy/eDpUA45AKfHE7pBNAdHofw6XnyuSUwREtEhEmuUUzxmSXZz8efdHm9Nu/ykCeeKO7fbApfid/9DO42eiR7hfenuL37JPuv7J5AuTJK93hgZsB+eyX7kAp2XXwTJsedJNvWi37mUHas3f6AuqZ+TsH//QS6qlZkEcPdXeK1+QQhdFHrbC3zUvdLWy2+qk3E8vRU72K+sv5Pwdf9RLqOZF18lZ359jkr+5f/ss91v1Jtgqtk8/6PEbMZq/1P8WVJn7rxRuiPM5Hz/Xidjb7rpc2xKVCP3uvxcAUzfmZYrhU6Gf/dQ+7yYNtethtPuwe9uYTc5FHL3YPrMW0mQ6JPP30xWLaLAyJVNug/dgKb9v82B1sn7q80Y+tvnSKKW3zY/eHeaSGozz7seeHOcOulqMaRz92v4c3r2Ji3sDRj63AN/mxx66Y0e89M7+vNIKFhRtiDpCXJygGZ0gaLxbZG1PIY5vdFc81RlnIf0oH/PUTOeZEVErnu3NeU5AYXoVh7FPI99QIDCccpmA+0hT0D9JdFKsPqYPcPZLZ2qKDhNqdlBxwEBtUb7HUOizdPVJuD49G1bGH/Uapa/J3jb6nCS7xo1o4TEJRh72mhnaI2lQKSp6nwD9RHNyiw7XC0835BrJn2G51zfaw1H6DQwwjue6wXAtypJSVLOxercpEutF/2feAH8nK9IhuLVPAO9bO90JP3TlP0/zWoMVykkereRNxUkwwjDn5DvILc9QKD3d2QVHwtjFXwrpR3/Gs+K+1Hi/wqViUoh0BDcvUShmAIufVoqfW45eYeEMkLIM5dcBLz+5Mvpn8kfTa6+MaYZf7VqsIqw7ykW31UuRmelCmIzc4qoP7qge9f7gh88RikpMp6B05siCllquC/UR25XKjF0VRx8q4KNGHfC2laMKg+HgefBw/0qH44Z6stqkhWI0ncsgdPMYlFqdO+0iOufUeMYZ+5WOY0qzER3Mr+sx/UK7mismWsze4I+dN+ZiqeggfPpJ2bRPjp6cqw3XxR0A1NvjH+5WPg7kuJX3k6JsmrI9U/nESu6Z6DUsJTVEuEHgPijK+UwnCsmfv9VkHSqcXTcqG2eX+t92PBGlMZILgWxT6Z/PymhtzBT9UcJgs0cNTs/FQRxCSDSdYukc7KtecjyCtbl1tTsznvaf9GN4e7JHKSMkiTTBouocd5xaxxfxNNG0RKt0HfiKzh4sb9cAOdhyZzLlMRYMFs+3Ad3ekk1MUX43qJwppGNwaYtX7fqL8yzVjCpqmjxW5IlSVc0z6qJTC0FCS4dqLyKNhXZdnL4kSDIi+WefVSTmFGxNS7GzPT1SWYxqs2I1Bv97LYy1gWITSIAN7anrgDAQYyF6fdV0p86KklGZTWL6dC0PHE4ZpeD97P/dUyypZGYMZemBoDI/bhidigEmqe+dNPjpv/u2aYbZXI6cvItvM6TOvPDclJrmI3Jzp+qeE/v+L47iidpXSJt+gjO6GnLCausNz7UtFXSpRxMv0uDfc7BQ0MQrB5+maVNtTN3YwwrzWCSTlSEH7Ittq2XzM6IdaxcyZHpP0oqCaMbsYpmu+u/9E5o6UaFO33TMzrdVY2GDRAXcCck/WPmZRjdL0hN/W2DjaotvQkdvdeypHvUAA9BexZuMa77LwtNz8FIqahu7F3hO+b593euhYMErmK8rpIY8qdpR6FMsXDYIkKkHIqaPUp+unj1RCM0aEjkrj5CrvmJFCAa5GNFQxBcqfbzbQWoxweDks+nf0sKMKxegxQWzN2pLo9v0HGC+RKF5iH4t1rmCZKWYBLkcvmqPeOHPonMdGypN1DdtM4yogYaOKvtqvexJblygkCM+uJQWNLZFbBL7EvoZhYfP2M5voPHpezfbNRDEj0iBtqV7hixrIfCWGn1CIUPVZClk8a0CTbYxRe8FZwfgrWmH0sIzdFyMy1a3XZ6XMp4huOILl2aY/MK61mBva7emnyEytjZj0LZZu2v6SBBbJYsFHxT6edg9fHi6LBIxB87nNln2kTKAkum6qNdQXsI6EOGoMub6AdSQRD957q3d9Q/UQwqDubP30jvfJjZ8uoyohWpFLfMlhk+gj0VsNy7iYj8LhqqBXQq7H0okbitsFRCyQx38ENxNdYQU4ouVfjU2t/fSBYZXQpFoT3aYH/vm3X39slpEuYqsKXYuK3X/AWsZACKPPGHX4BQNF0tWLZmuF0JBU1Yo5fYUbrBXg/3Verb+xUXpAE4CGdJhzhzAXWsp0Hxm9s3hqpzMw87QCvBQRY+IngOcS/4Nwr32Vx+GHN5/NPs2hthKzO6Q5CLcRpWzyr1cz/9G21BaUAk52wEyFDVV0QJvm2N9Sbx3Q0aO207Fmaf+EetXsEIMohlMcMpXDoSFTo7oO+T8zu25i06bgwxRnTHdLdH+WVVu31V+JXCKoJjmP/Fgje8RTk18x4lPsRNuC+swJ3f/OaFihDqF6sXEmZ7h7emSy30IU0kwY4VdEdwn2uQ8218YAjfSiMBx3gqb7qIBVNi+SVK18T9hmIcvbExbtFSzTbCoIX61WxLiC/Uyp0QmRCCtaxxR2cw+JUNqQbBzn/U7wNr34n9m3GqpTJ/mNfKJhrKnsYX+lXin6F/np7i9Q/0XKdWB1XlPf6gNQVxq9kEN2eADdYbg3INqzHXKoNRn1Bh4o4DZkYfOlWxsptJTqLX87l8LyLZhlxRu+eN/0Db5jEFbg1zqD9210bGJB3WKeU8LGmRIRnsXginpXVA5uhLDJSE6cn2VLc9HYhBZbm59l3znCsFm4CdFZof+yhBMyCze5iKF8l14ZlYWbYAf7cOmNMVm4yUOdz2fRvC0LNwWLntpueT9MmV6Q/SRRj0XBE6uqJnehdiSIkEWoXjSq42+PSan/nLZmQojo7Q2lq9sHWTsSxMJyGK51AqdrR+CJQvZk6Jfe3F8kJLSVQo999Z2+foQQKigwyj4pVDAVAWFMKQ1Vo5HJxIDei0p5p2ApDaZC/0OL9x7/lDbQgkjxPMfbVvyLPLWicqdl/P9MYD9aoXJ56E2h4TfKSVeGllJVR3n1K+WkEyEwDlxYQMOyOjBzgYUhp3oJEf9OyvOGzgumPwyrDiCjaEzRn4IbUh0Q7dLLEyiajm8ZkY4K/IZZzuQtTEV6Rb5kbdTjm4lfZNEK3s3iDVKELAq5qNajYjh9TJvVgYT6e1dKVDfwCwUri4mIKcvUKFKKEZtCizVq+TJvJLUqN+E8z26ZpI/agLkoNEVj88n5K+qKzPJ3EMAWnXN5P38yzj00yQ7ehUtY5vqqR7jprcvLG2Ka146PtkR4DsSij9YfJsb8jXqzAiEmmfCLDpZq5hpLhBsoqHWpuppY3TCWI/Wwcw3GxFpkldD99MUajJkr0LbA0dhvY62sJqFLS4gwmzq4T5RyO3qI9NFfUFYD9Ta1Ufr0X9pWVoNnmltM+i6YEpHk09BqPnuYLWU1CSW0IeSm9rA4Odnoh4RxKfoFcL3jTx73DPfj6MNlLTCEY1NEctYRdh+ZvOZ8xn5oFh7vfuW9y1z0BkP5QaxHcVv/iRvK4V7HzHINy2QtBuR5OWTR97APT6TLUjS/GdYuB6+g5GFsXVZLvhG6ublmkrUi+hdneTbqCxfXNVHeR/MtRgV1f0epVAFl2lG0+/6sT0xnJeHt6OZrg97xE+NfTQ3JoXnbYTPSA5CD00Nx6mMRq9bVkNVZKV+GCASbEHW+uF3NwEX1yw5RZ7VdRuVumFiRkj4qlR4FV0crPgV11B0FjEZdvs1WPkVwLzBKMRZtal4feEdoCimKpiBW+yaSGCOhpZUSTA91tyXV5SpndFVzk9AtwdwCJlX4poDnkVvTc1ULtbMUBcZFQAOUO1tMD8tGX3OEbI+1W9qsZWohnpZjEQncr/pEeQ8KTDYxfnrYD5T3QKQltCUF+yx/qGSm57irycjECOGfDLxeHT5jXhB57Xaw0Vd4Cr0unIPp9xiyFalofZl+5NXuct5cQOWCa932X73dsS4cn50PHdZ+pUSwx8SdnLpV3zHeR/R7qrB0l9HNeF3ckERjz0voZnpeIb8qiupau0NQksqhMT16hk0R9zMFmQbR3lu38amjaVn7QJ1w9LmHpNxMvg5lzH9bQDnnZLqKoie7UOWLC0inXExIAhR7s8PcHVPKMHqIsm22nD+HIaMVxYlUGLXm86dgRkeM4ZsxE356GUxH3IgAptB/W6T/HxijvQUkBvWMYtHamSVxBZdynN7iq0Lh7iCPRRy7KMqPb5Wuo0bUwSYxsxTswiQ3LabgNYki5BQ0FWsLY5ekoFeOmeupGjDGsrkSTvDPU+RIrFVoFNFptF0TTrBRxhYMj+xh726pcLMobDbF2cJ/UtxRXlv1Ua/8keSPXlSLrFBGZdxFMYqt90XvOlJJIajORqkUQyezbBAUEDivYF2l6MQgG1RkAlSADv4bxdrgSUJ5WI+wHQWbZV2rjzw1EC/6zVFZpoH/oPzmotiHEoOCpfYMr5you2IUbH7Po9utiSBK3cLmVUxvfhhIF5qrrmjK/vmOclmJ+EBL7h72ifEzoVeVWEJJ39SKAYVgb3WpKVw9Uj1fKuy9UGY0SfjxhW2KsD3LtVZd00gqS1k/pe9Mui6GiyUE43rY15vkExqcVb8fYUFXRtQWodE+w04rUBZZbECz4QLvTgf2eE8KplB90sCHagwmG8qK7l9gb3YfoGxVsRpd8fC2dLB3lNtQdIhcglOwi407zrgOsyjQGtmPlOswYZyy9wqW6j0ghkNFuDY3RSJk7wEUN7SInlv94s818eaS7mxbAZfmbsqoRKnk8Yh7MqHUbS/m1uh96WCp2ogkey5ZI3pgCOT5IYqqO9RsD6C/r1SHI93EiWyICo6iiyBYCjZVBbsj/TYiyoSrH2FHqvjzmspmEOFd9bJfVvgGehVkjPDbvFsDn01ymO++GUvjy3UJXvD+pB/uKavfYv6Z15v+xsR6kC9cMvJUemCylYzYjHLoFJIGp7IjkCrsi943VQAWI+aQt6gQJuzmC6WcBdH9vd71/d7hupYpjR7hrgqz6qEZ3T+idB9DoBW6IFoYKTx6ODCTQW2cclB70WZDmj7FfdCC8uUhy63UVINe+v13JmsgoqrKNf0e2cIboRJfX8J+jhwPUYzWntWHt5T7UsSKFbHkT9C0+o+SHV9dbGrlJ6pAUbCVUgJ1d8BvCXUWSXRNbjkpWM7TDf+FMCLTw3593N2SjktX0Ld5Cm5WIhHCbYcShTbUhu8oUzqL4HdB3y/7nqI8iZTQbKmH/6+vt+8/k1yoNoFVCKMCRvC51QyDp0cX6XUTRpJhIuqrWomtiZSKFT4qhe33bHCt2ewVMLXhBrq0VT8mSj1sDR0ugt70zUfGNIQ/WWSNfhDny2bNmWTjNntMdzuywrHJa5oRJ8ltfeyeEj2+HtHEHG3WD+r+4e8MukZOjVR6dccD8x6P7BbeuYCGuEw306OCaXo4SnXCyF+LXng97D1lMYn+LyJN7MQe+OmeKpyH6tRCVcCXS1BRJhRQJKzOepCjRMEO/I6hW9OQ7T8QH6pVeI7a8VsqQlQx+0EMvB6WCVFDycwNYwF6WKqPT3Rjf4JaFMIokRTxBlsKGl9UJg+yPFKxMahtUy68OIb0g6asv1O5f+i1gjGt6sQPd7tPVBULMhFmS1NtApCxW2D/PIPumfT7lSyeCuLACOZ+SaqfQhPiqGG65t5Uu37gVGKUsDWnT/uRcjlWEYZx+vwNmwQxcvdxttoizzKXuLsQVtawX5h0j5Cg8vDvUGW5WoxWN8Q1nfE7uiDqygzP5pKXVJ5BsXbGYMf0rk0CRd6EEOYzfyb1O3gfikdTrR7+cl/XMPZIh6/zCEWrKmE0VnyOasXb3ZrnISLNuzUFRxk5KFOpIWgsvbtn0w2S/FHUabn3J7zdC7IsVKRu8RU1dMy0QgJdD3XzlWJwLo+9RjWyrqkEZy8COFWX1Hlv70mRYEsJl+nJzK2Ekp0rersfqfgVmoXGGWHccVaCQ9J/qeqsAwWL6W0YvNcvTMVjkPiHjvh6118erimRICI/x1g1dTytdUKJQ3E+iznWw5F1FtU6pylyR9VWIOUXdS497Guyh0oLollp4mAtjGBD3s40nmVQyvrZU7CjDHJ5hitC9h1kkCarGyrVcS+D3GVec14GhaqoYlEGLXrNo/BZVw4qJCmDxiQJW0af3wR+4mO40BUgDdELq1KQy96FaVuAMkaxoFZ1wE+kO7pgvkgPuiI1MQWjuaYXvGfyKeTBe/iRFeztjso62zdt0AtTkgSzJeoo/DpYLp3CIxV7emBae0TamEP2eb8sZVl4OAdt8Qp2WV4bbZjEPD6L+YEvNQWwPsIG66AocT2mUZRWfFQviBPXBT1gi349t0xbDdEvQBnwZfCEbJDIgL6FGsHXFFG0MgQfS3wBUcBT5Zp3mipumD7oKK8XJuP0xd5RKRBBcJxnz+8tZQc1zBZ2UZHGjvRUgS40g3v7dc2qaEhPrp578UZHE0RVdv4lfPEgCcwoPFNuiUZTQD1WcXDKdbDfqSS9NkTZbVawHy9nzAc/9v0KCuruhkuCSEMNCU+ng6Ysioi0b1SMHGFp1QLhi+o0lu4fTv07zUr2RKneFn3m92SrsijEqBH2tOa9RPsY4eWKKij9HL01Qkv6ZqFbMPmuHnWRmFGuwKnILRqz2Rl5MKFEEwPmXNUU9cJUKBEiqNlakqIPzgWK2K1Ae42z633ypVmvSMq5gbl30LdUwisCESJ5mz739ZpdgrkcqQRFInc/kn1TYnCapG8pw8SjAUEpTgEzI3XA2K2vQWNqd3dLRT/gRCkuzJ4ic+SRR9sWFIE8bdLWEe5u6bDs3++owOsp06WD/vbpcrGHqPiirMPM7sB2t+93U1PbOWQ5wU06VkEf/+m45zHAZuM+2PMvP4VTLQD1mYC+JyHE03dGPevffv2Pf/sf//O3n3/9D+Ij0EzFkrW++8jVq3/9j/8+IbhF6ITWU9lnBf3ff/7t3/7nb5MtGOYKkcsq76bNyo//3+u/r6UsFUQqRcHuvsGFOSG/bPZVbYC3+JD/FzA7tYcXi48yvjDQpibfrW5evadgK+YzifzrV77sn0LuXhOhGxTUjhIF8ORFUe81ssi0v+RTaCdYemgQwkLeojNpv+5bsmRYTHIN+p3KGACuvCZOMpQV0Lnfq9NSZsVIzyVcIGdz0XgrNevjLifDmj7bMM1RdcM6H0XWqlewYmlmaETwlfZQh0TONVsxQPGcXc7djtKIakJFSdZLf6MyIxArDxpN9w9/p3xxDul/yODbThkoOxYLN+ldU3EolM63kW/3yGZ8caI/2oTslR72ywPZwLkIeLN+E3XA8Msec4rUYX9knExHsYIW3zUyK5oAFJUsakwPdUexY9QIuBjCCXg/Au6LYOn6hszIEnumNrX8B+a8BVPz7HT1S2GhM9aQWDZBo+v69vZh9/hIRmm8g6J+DuFr3L2KhY8+Bz3mKLQjsbSI7qEXpvoroJ9QQ16VQjjliYyjAlY0xul0NFEcRGdOGl6o5e3lrBJoW6K31qTwtftM+p0i8qvUsvdU5Y08ELnppin0icIYIgkxzFb+X3xA2ot86WB3b4ctZsLYUENs8L2S9Ts3fUJ2nb2vHXCfFbbs1Jdt11hxUx0wE/9AUXwT8tKwO7K1sUVXKNPDPj5eP3CZR8IPPNrIH+H3jR3vyRiz9ejooTB2u6LGtyLsrzaN6ScqcmoxBwK+/R6YSpYG88qY9auOy8XUhaSHbKte+cgHzPoECzu2oe7hkd1OxU9RP+ib8wr+/fVKAHVkIy3XoIjknu43O0rK/o4ZP4VF509ZV8Fe9nCCbxXvZkRFOlVKlSX1a7inXN5hnHmtmQcVZsaMODHv3OWTnvHFiHZp9TtgRr+YMeIaaskzdvX04yZOKdynyptIdCZqAKJcgPXwDKvVYrPSSSv6IkA9+IrGhgLJ5r1XUFQyKTLvAkbH9Id9Ij3XxTmoW926p0Ias+IzSCigU9BMSA+hXlm4aDRTg8nN6PYuyPmjVp43HMmpKnSt+csx+xINpYkLOtNhxJfR6ti62dFTIfLLVY2may6XBo0vRZ+NZw+7BhvFiihO3xAV1IAwSQ6DBXpgZsQx1FnnR42hg90NZHVDxtRf0wOvpXOPZfMhTl/R6YINUddQctawpNzbl2Po035hqAO9K4s8QY0pSt7v1e+saePmYXf9RDoAYvGzN8iUo40DnErzmqxvKR9/QMPOoGGp5CMhS7GONUlztWQerTdyU+haSzOGyp9Ttpo4bqjidwx2jEnDUiL0JAPR+M/6Y2Rwd88pzxFlf3LDpv/A/TuynbmzCaJhArxPQCIrym1KMDj6zTPGSrXCqhXgivitHtFQ+LI6KK4+AU1wbJ7g2fBTP8fWKM5WfUvPMy4NMSHPtazB76keJRE911zWSzOMR9SzEq1nlj3DoEVbKUnhi6s+s/L0a5jR9DGEa1ZSeprQlKaNhRCumQ+7S8HVPHtP15Qgb3XstKig338kfR22heljMhdbq6gOJcWOGkC38O6R7FDSQvb6nq+pafTImXRpgbBX9f8j5+tX/rRJ+xfDpQmN7+vQru9uST+JsJAygd4j7E9K+xedKeYZ8JdPVG2WRwfdrIFXNNOEoa+pVtND3XwkG1J5UaZTt6QhZ6HKgxDrLKjtPlK9Ir3IFjTtVXhiexakXLK+oJu1mt2KbmXwy3Rkse/aS1YNOMyh7td9utwnFfFCZCRosPs7aqiSG0rwEEwdMOvREStJbP6kSIMUTXDooM+aog3K7kgo50xNXxGVryJ0FV2dnfmaiuwKcYg2Hc5fEjEByQakXvYUcsPVCqdB/jd7vfdUue+YgeGSvmaGz9qxcjZo2NFvxw20j0hMzPot/sQWZ3lbNMa4eNqJTzsUeJ/aeFBpcx5VLQFx+A76kXE+jLUACZpAB0sKJ7DcHGv2CpwTThkxyADz5RnYXO6brHMFmwOFditTLWHFWIwZ0Ue1a65pAca5jBk2/V1RbZYwUNJGven1DEUL80Ph6YZrAO7QPTyntLBfs9JY1XvfNHV8Y3wXSJn1MWcFe0864OWCnLDrrTi+wtQeIYwZRTOputCw8Kfe8xcqegiWCbdYB8p1w6loGDg7Litf5I+gaVlsU8M1fxVGrc+7ZJue6/Ruc24veAqjz8Wn2ft9E7ylDAGxf3J0/ZP4l5/SMcmMTfeCEwUp/+pTk8ltK6VUudaqsf+WmqGDPOuUMkcxaroGxgHlqGE/fdy92zBeo4xWt3WHLhHTHD3WRED3xXjobDr50PZ7CFCUkkOEc/op7h4wRbW5cHAjPAMbLmcdGnjEnOJ+4d3DRAialdEZrsmVqA9c31EF9A6TDB3or1+ebIBT6qimLd0j1ShVNBZXa6lGY4DjXjDWUD7Z457SMyNMNl817m+nyYvm0mi0nGvMCvqJsSeyRwYSMkV6clvNb6vOglN3ULCcdrfsbNGSUHB9/MIGJxnYXqoxaVJ7QhRkperGj4mpNWnQj2Q2eY3oA9gD/8Fq1eOMr3OYXuOvmF+HPOAeWaRCnlBpoJb9TlW5orMEJq70sPfMNNtn5hrH/lYptVY28UTTd8dJvuTaf4rkiWhDhoyRHvYtmW2CwuSk1t19oqY2CK20MN/0jpu8GUUqtjn2CJZmVHvwhN7P/Sa4GVCim9TsrFeo44yiwyAD4evd2mbW9XYGhvQzVOz3q36iyoFEHWrIa+5huZxokZ3BzWDJ3q8ow7PopX6Epj2yY4RSFtaUcuKka05s74oGvqa6uI/ekZBtUNBPHx52VH2MRZMfV72Cv7l/Topan18sR/dRkdgTB1xR5NGKIrB7KhKOMFytwhiuZtTNV3fgfVb44uvzxpdYmpkPlQkxZAU+5ka9v6Yyw+D2LNnjoXTfuL8j260mO12fz4dBu0I4LNS6JzXJrNjhxaIDVw99y9jSQLrouG228kfygdsWNPAfbC6u9dErdO1uB3K2SRK9WB/5d2pSWjzMcu9hP+weqVxeJNUUYU4K/GFH5T6jqY7LUW+cq5fHGJGG/LIeZ1RjyIRuCGPXwX5lUe++UeNdZe3qU56TKJVQIGalc4itq8f9YbfBqoxjn7scygH6H1+5rFyR2A1JGEfovTfw6SPZpiOP/VD6tQ8s0azbnsEnr4EphQVezBiDPvWb4P36iDERYC6YHpJLCxCbM44aWgf7RDWa90i8FOu/h+WcPsj/sjVBXVArMzlciDujL6aC3ZsvF7UjH1G764siDy6cgX6cQteaOv6g8rdEXGIAt4LdvaacggG6VdPX9I0MlSOdahwDuxnXY0p+wkikHl/fqQbbQl0l2xmFUKFyjO8uYizml7wmlGgLD5wTCNlh2zt5yHl2WdcPO7YxEiYNahqjYLHxNrsqoewft6lVGW2Y8zMvWEnX8YhMlqTBOJ6J3h+x+XACplV3jOgoCWNX+oW5Ggq5pOhbU7CLLkejzcucWwoK+tsHim2icY+tgrkO+Ltw60ANQxG5OHpbe5Rdk1ZltM1plB1Pvdbof987qwdeMNLMvB7LC9POCvoPSnscqxmsvq2P5NSpjJR1ha7bHdmsL4QChbmnbaTt7Z4+UvENeZQNU6/6T9xQ3aPhqhNarZrE/1irwkhIUHSKxG533LxSsLBawvRJGzIZ7XkYUtXnZbotwcWHGmVNIw9UV1PRn2qLRV8V2+jzxP3GNPx8GE/0bBWSnTuzaIDV9J9YSxlKqFcOSS28NyXNetqP9UjNXF3SqFKBholoPRRlvJaKKQ6HwPsJ9pGr4ipIkVbbNa/WkoUaVJiSmtov94RQGVSQoaQOu3tiG4V6C1Wzg+ZiGuMwhDY5rdlQ0x1FnNcQk974sE2Wj7HoeID9Vyr1zefB15E8OuCnD/df31MDhFMea28V/Er3PwxJTiWUDspwc7fD2LA6QenqlvxOpSijZCfOjrvsajU69Fb3MqIDp/JP0D0woA+mUagmI5ZwjoiCDf3pGd5MU1DWhFut83NTffEwWClhaG0Pe7tjOqhFYXnJI9zZQ7MNace26ApjH6ikQWF8Il9iUjRG+aFEp04V3Sn7hSlXUEUnNXTp6mHfUo6gghYLnln2fDFmjoo6uGn0FuW+seo9f3mgarqdcACMRVmkreXEAuFdQdiHPvEXUnMpKTdFHPfc+Bn080sp1KDI482rh92GQkdwXWR0hPDMSXaUWxvzkdpo8XbQ3CgJVDqKNtAUMFW/F/Ozet3B7m6eyOISlM7nEzRTwpctOqSXoNa8p/LfhNsnKAQK2HMDXaGFNBuiRvTbr1zLIVEvxf4q6rxkHu847TvBM9tfMmOAHQboavJaKj808zAZJlnoa6b890iSSJgIo7b9kSwUySKjqsIYxXUhKrJtbnnTF3MzRLT6JVxfzs3YT2VXoN9Jr1cp3ijCpkQMijxd0nRN5dFVQXIcOW5/WDIoBnafxxhqB/6BiVYbNK0TRbXqjd/dk33EnSj3moE8sckZPvjZU6YyLDy4SNWwO6qP+L4juNewd1vEhBidKGOEG2ofZvh6uzbmCEE4MRavekiRbkxShFh9cQx1d8ArTWBTwHQkqEwdFJcS58VuqUhi6GDJJIYxR9o7OJwm4IbM7Bab0aISR+17ZdCCtZjIBBbbQV3f3e0eBqqv6diPFUTVfeBfubam6MSFdgVHYLPF8BrbdgjSnb6s/+9yUUxBNdwYauyg3P9mGCWC2WM7O40xSuOybZzpVs2ZDRMzE5D3r1d29X9TjU2RwDCqLf2+H95/nSqLhlD2xgEmzx9YLkE0+imL6gTB1oEjZvewu7mnSh+yKASi5Af1jRVDG/3QQw9j0JT1mnPZo6OOa9A0u0WpXk/IS/IWjSIV0iCl4ACnSmUxkQvTqfpvUHoMQiRxjPB2sI/sqEYRNZODGzZymCtaXLoZrVBqTEG0EwnePfAfzOssDd5YeFQ72B2XJ4rppQGqTAfM6clipCMFDaK5I7S7HdtdR4zeunzHF3oSisEcMaVWP8ylTgxGt5SPaNGswLniYOHgqYjIMuRdqYxPV1rWb2P3yA/mFm7kG3rp+uXS4Jm3D01NgK4pJFt8hfMKE+6BOQGd0H0NLaoOoIewzCNZttUaphJNl7154Dq8F0wKEf41hf2yxPuMrlpNLrh+3fu7gbQbBUKQNoX9mWslhiZmKC3osHx7SwWg0I/QZ1s6YCrlGhZjyLAp+uO+pqZOlcHlVPs999JtmfEgfJVP5+V9mg30aEWDmq7ayTazMs4ve3Qy6g9MsQ2HOTCtf4AX5dpiBMpD8RXNgHCjHJqLug6GYhhe2LPoqb6DpBhGEP2hYSxEtyZV5yIEVTGx3UxBd1x1fPLIFE39UfcjmIjj5vhMyhPom2sqkw8NtcWeyKkD5lqvCEFiEmCenvgltUnoVt0yvKKHD/EVYvAbVYcSu+n237KTgkTZ63G+Wy7xMjr3sslr7HA+zaL/vyk+EgafoTFOt0A620Ttyimn1uFsJQW+OGGXtvbIuqbaP4uyFS1k4XSnZPsnNASUYxr+7Y9B/oQmtf3bJzQk0S9Ew6n9Ti/PNIKlVlIuPXe655KakBOQ0Md3eg/vd2JTrxQkJFSBpNovumGONGgvj2Pq7B72XymHOJolVrELFfBHsmNzCjVOYAmqQw28sz43tSIVrg2ooC1Nw35lff+iXhQN/PRA5ROlMalniuW9SUSFW+DGz6FC8zyD5mXnf5Y1fU0K6o7y/Aexw2zSF8uxE0R6Q3E2qNNef/myVlaTRTdAvT5BT2Y+aSAEDFHpYW+47M2ACnhXwmUUn8k3RW+lKYwhu95ianVE9/1+wd2f1yuet1xg8SVNiF+4edUJxfpRUxIlJKofXFNXSsl2tOz3SKebvR2uSS+M3FBnb/6/qJmfYsSg+Ee/+dv3VDmkh9+o6ku6rJUjvRS9yRVZcMFksW1za2WGKkZajQORi8sK9nFDIaRsOlnhsM1u0aqj6aEonzemYrlRZepgvzFKagiDdaKqKtjdWyoCLNSUEpTUDpiTAgWhwaphdw9/rIVxxxSn2E6A+74gnBkvprjoIVmt+vaglRMjPxGsbwr8luwCWwqy8dWBqQoC0buq1Zf0Izmupgmnqwpdb7nhL94PokS588S8HjsO1UUNe7ejQsehojNZ0Wd+pDwBcZy1PVv6iQwdBx+rpi9S/d+Pj1HrIqOTqiGQpQvKj3rwpVySM1UELWPIqjr1hjKC7MLsOd9zPUEwz30U+x3auOl6SIMR7Xd+8n1rRm5ICliuCIwsaHxWWKjUDlE9kAQYFDSTKYW6zpYwvayHpXQ7cMCaYRI9w5q9Ek1Bi2CqEf0V+5WZtPqQUauOfu497DVVCYXEMjHLvAamOkFZ0Q2R2trDflrNxXUVk9V7RN1T/vFx1lfK1c+Ig5rOhGmVOczQzE2rDGiSmjRZ3lP1B6K9jHpeD/qJzOItcOsrfD2R8WAvFF2X93wh+QWPGIXVPewjNbIroaGPywr26xeuckuYTzNqyw/UgVHa4tGoeArNT0pHf1Vf24wDYFL67vKo9IN2m2fM445KBxnV20wR5oJ6a8h7Os9qUUdVy9Hyv9yHBd36MHFZw3FDbqMdmnc5K2BOzxTunkfTsoO9Z2cCi6rpT7Bm0lr1Ul0tmhTrJanaAcSZgvchaERRtQMolajjUM8e+hs578bnkvRp2doBi8yADGd5j2imqGQMN4n+ovfNsVnk7EBR7ECp4u2xbZ5r1Svg/0V2gBIdtzqFr02znPCQ0CA258PKh2FOZr1Jsci0pqEniublTsNRGIBHtKsDv6deVPYosQWNdcCkAy6KjokmlEdgxldZ0Kpr1Bv6/VL6Cuwu9BvvYd+vdwtuyadkejBqAB5mk2IUaw/6mQmdIicS7r7N54Sht5/D1sMu1kfM6h1dGKOY/crvyOaTUTh8U5dKB5oS0lxq01tfaayc0BgcgrsDojpdZNEJnU/6ht5TNh58yH40LrvTnkIL64GXLLJQrT2QfYK9nYH+TrYJrjnGqGA/UO3uDCZnZjEO64ymL/vvUEuapu+WLhxO6EraRrOsW5HrZJaHKLSh7/cto1hBix2TzRR728LUjUPKmk0UlpAOExt4Yg91zQgCDDxvKTYFyxm+Qf4Wua1gv1NqlZdHkFxVsGvZxHCuiHU/WdIcIrTuEKH9P6kgUBqyGDj9qc000MuNF0TPBnSh7w/xsGPmvyGpUWz4pKGpflBoNSGnUKDfyFp8J2tHRWO7t2Q8ySWkKHeIWwvO2HE2qdPbpbq5o9ywpRmRfVlvCycqRvP6lFRKjhgbNTmvyIOLzQSPZi0lvOBBYeA1XGBeUwQXOEPnwir/pKBX7iZhYG5ooX9RaAFEJVwKEdtUo+Y9h4RLs56umSt63qsDc3NURST5ZrMmDWo+oPDmGlPTsKvTmDw8UAgA9Oi6IRvQJYc8ZoUrRiIJr5W7bRpTu8tjyUxCs8CC/mmKHG832RgOFZ0iEd1z3RjnY4yomBPJdIIn9DKIhibqXFZQn5ngGeq2UhVlvYdd4RZICpBls3CLDoziFmhN4JwYn92aHLeAOeO9w/PpFr4jZYCtznoFy3ELuFKrUFU+dzcruWElB0URXA9F8PKa4Js4t+ZaGr5HjnPWp32kGgE23NAMUVxIJmC0ZpCDqoWvVzJChRSby1kfdjdsyI2Wl5dFFfXhQuatmWt0oaL54BT0aWV84dgJTpT0aqZQlEcPXX8tMqWmkF+uv1ApjkE4YsLTmcDuHl5T5F8HgcLTmcByGhBcetX1Z92Roz9R7+y6Nd/dU4Y5xpwHaE4T0JuvZGgO5lPxqYe+Z9stFO9Cd1guL8aOLQ9ST0iMWMeUcovmb1NIbpp8KoOoJApNlFmMAZxW3+qaPIfnX9TE2FPgcZzTWrQ1Vjgsqa1OgxXCEFxJrifdh92XB7LJQbat5p56H7mkFg/7SZCs7tRQAx9q9bZnK2dmaxttwKOnc9xMtwhueGH4dTPdjm3Ix9Tnbs1329iuWIgt+0366JhH6W2KCvpxt2K/I5AbghMJ08FxbWTwYCz6UE+BDdnLDvw3oidwv/INk5I7TmCuCUZoB3zP6Gn7lkx63Xcs9xYkB4UtcjLoyIcTSrcVvijYLBeF9B19UbdUZjrajDnH0ZZmGcKMxfhOM8okY7Kt5NYUxh7YZsTNBn1iRuLBsqytavrgOj9g1mZEeLIHpiomQdU2Nv0On9YqHsUYTaMx+gy27/mwJkHgaWgxMjdjzogQMZ+9gqUa0FfU3mGMsXp+XB4oeGTzUZ119Li/Juf/QJPXq3/7sDJPAy4OUfj0E7qhxvc4VIZGTRMfKKHQ0L23VbOZnp7D3V6f9XGbRBFLXKzvJY+uWfDodlDXZH/S0aNreti1Ng2C2yRcQq1494mKJiLhG0PLeuDvVGwegYGKJ9DBPl2Tg/RqkheogB/e78jxR67E6d3QeS4w+gsGLvYLc2X4FY2P4uzElOBEj4gWZ/f0SCa6OPicY9HEQea6wAqxSRGzmdaGPd6TJnXG8CN1iJuP158owYJGN63OaHVHCpYqKqkmmadvXJ6Cgc8ypGqb+sBbtsm9E/VfUdz1444sTw+iUeuVb6kyUViuyWvYpwcqdR/ME4GsHphMCw2og5qxwGmwZSD75gjhp6JI9/cVz8bIvSsa0qoXsykx1AVkpzzn8S+VmpszWRYuOQ3OhHnHxCOM7nUKmPXJIMQzgTW8P1NeiIuoVFe7viNTQ7NHulQPTPUXKRgB0bxeeG0eQBpKDimZHooauoucpRRFgnRL0v16PEZ04U31N0QlO6JXofVeI2qZkRudWO+Tn61NMfKx5Y+NPpUX0NaYHeoLHAEdba14Q8WOiM7W2X4pnxD0L8x/7WGfM1MujZ2z42zEc/S05k2CqEODwR727j0joMS6DTVbRchTOfnx7mn38ONHJk48hqoSkk3U8SnOHcYmeJrKPv7x8fYrxYbQcixWDDdRD5odUHlKafDIk29z7s8PzSzBAanPH9LDSx+/Pz6RLC6OCUP9p/gzVbhNuq1MzmQ6ifaf/z9fBYWwDQplbmRzdHJlYW0KZW5kb2JqCjg5IDAgb2JqCjw8Ci9MZW5ndGggODIKL1N1YnR5cGUgL0Zvcm0KL09DIDEwNiAwIFIKL0ZpbHRlciAvRmxhdGVEZWNvZGUKL1BpZWNlSW5mbyA8PAovQURCRV9Db21wb3VuZFR5cGUgPDwKL1ByaXZhdGUgL0Zvb3RlcgovTGFzdE1vZGlmaWVkIChEOjIwMDYwODEwMTMzNDI1LTAzJzAwJykKPj4KPj4KL01hdHJpeCBbMS4wIDAuMCAwLjAgMS4wIDAuMCAwLjBdCi9SZXNvdXJjZXMgPDwKL0ZvbnQgPDwKL1RUMCAxMDcgMCBSCj4+Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQo+PgovQkJveCBbLTYuNjcyIC05LjY4MDA1IDYuNjcyIC0wLjY5NjA0NV0KL0xhc3RNb2RpZmllZCAoRDoyMDA2MDgxMDEzMzQyNS0wMycwMCcpCi9Gb3JtVHlwZSAxCj4+CnN0cmVhbQ0KSIkyUEjnNVDIVOB1CuHVDwkxUDBUCEkDioQkKwCJciChEFKsYGgAoqtAQkUKFkDKAEjqmumZmRsp6FoohOTyahiZWWqGZPG6hvACBBgA5AMRkQ0KZW5kc3RyZWFtCmVuZG9iago5MCAwIG9iago8PAovTGVuZ3RoIDY3Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KSIkq5NV3yzVQcMnnDeQt5DVUMABCQwUjS3M9M2MLAwMDUwUTUz0zIMvU2FwhOZdX3z3YQCG9GKTLEKILIMAA09IONw0KZW5kc3RyZWFtCmVuZG9iago5MSAwIG9iago8PAovTGVuZ3RoIDE3Mgo+PgpzdHJlYW0NCkJUCi9GMSA0IFRmCjEgMCAwIDEgNTAgNSBUbQowLjcwNTg4IDAuNzA1ODggMC43MDU4OCByZwooVmlldyBwdWJsaWNhdGlvbiBzdGF0cykgVGoKRVQKQlQKL0YxIDQgVGYKMSAwIDAgMSA1MCA1IFRtCjAuNzA1ODggMC43MDU4OCAwLjcwNTg4IHJnCihWaWV3IHB1YmxpY2F0aW9uIHN0YXRzKSBUagpFVAoNCmVuZHN0cmVhbQplbmRvYmoKOTIgMCBvYmoKPDwKL0xlbmd0aCAxNDUyCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9CaXRzUGVyQ29tcG9uZW50IDgKL0NvbG9yU3BhY2UgWy9JbmRleGVkIC9EZXZpY2VSR0IgMjU1IDEwNCAwIFJdCi9XaWR0aCA3NAovSGVpZ2h0IDEwNQo+PgpzdHJlYW0NCkiJ7Fdrmus6CGM/7If9sB/2k+0cJDltUzvp49x7fpWvM51pHRuDEGLbfvYzWYZFv8zc0q0tPPk7zCO8F1j2y7Ck12Yvwgq38qedqh8rfhlYadX79nPaNaMXbPiqv6jCdv09rNL6FbNnden39be322U4zuKVInmlvkD/HV7OPeCmb/jhBeErFjzvX85NOk4dmv4LUcLehljk7H7Sx5WXiSdg5Qh+tl9Jt+hrP9EfboYQKUaF0xCp7DWHoNfD+zIelUWvq9PWfiN7vbkzJPb4RLvS3yfu1F4U/MEV+7P7qqgRycDn5sU091ORx0Pfyk1e+f224T4MY27WNyxcrf2uw+W2rNwQvuQNLZiy40aFS3eYEat+fjvxjJhtcAQLhnjpWJUTVfdYvXGpvHuwWF0oTNUdCg4w2SuJsbdPwoa6y1F3vtddV2rUF8F/zNn+ntM+SICrSrxsvVMC342iALhdNQrM2TOxvMJJgXb0NF7OKq+aarJTjHrAac05QQ4TscVEZpdWwIo4E6yQ5ACEFdQCR3t7F2ECLtanwrXiLZ+ZhSu66qzELPrZOaU2oQCkxHrzXDi09vKTK/0vRqQhFmFiSqQpScB5i1PHJlGYgfo1Ug6y8uQ9qYns7EyhayvyFo/qw4z/jSh7Z9vmfTb2KZSQB5NI6GG301sA3fUNV4HH+5Rmn1KTaM+TLB5HbCJO7ApIsY+KH3FiqfcO+i/IcsCer52pU+qal75AUpFokB92RLAe2GcnDeYOfqBi2z+SZ66zd7Tnc99rGPQYBWUsXla82pGjWe4dG169UcwpqAlNBJ+f0NTH9oxc4B/9wUlPrOwCG7jNKuPFxp0S0CqwksiJowKcLe2wkGIBWUs2JvKPOOnFgRMkINUaw4XEStwZhFNJ+wDjya7bngApQnc7pwwdTmuv8CnuPeoeLROo900Y36Onn7/gL7QWUXtIoRWIebUh5EtQFO1wKtPyESoqIaygamx1UPEC3u/Yee1JYTBf0uE2ZDXd2HWBSQ2EtCp/z22WvhZrF9qn0+GpXqMm1CFG0UoNswWdXgwinWTJ3grpMEnI/6bfUPsi+D5UAS6fpP2rx+6K5K7BnlXJKaIalgOUfTbCRKaFprgRCQDV+sEhIiF/aez9BxVdhJqx+gwyg6xtEqWfBaLIumQngJOK5dFny6E52SKCEl9MnZf0N0u1HApGldtvMYa4WYh9buuxRAIU00Oxd/jAMNT3eEIzSif/WqSWBH1yTAoVrgnvh9TMEnUythJKi2UHA8+Js0y+sd+hW4PTP9Pjb69OtlQfGoUnhVpe6mt2WwihGBIjpDWnGyA8908mPdM6U1TTnEFpFNRPQvkHd6PxIZZvlwzHWg5IzyUAp4sNvVFQrHg8Zh8Dj3WnaQw3GIMFut2NNfYZ4R+K4tpVu/RTxhjgRhQUXfRyjXciO0Tq2sfFsAXtq2PGcGcUHPbcqnSek/DpTLKnjZHSb9sdN18VMVsL2JAyex61wE8YweBUaxO3oXzr8nJrsph5/HvDdAChAhlD+m5brGokpsaJAUhOCmrFwwkJUFZncoLxVeaqhjDGHAQZNoxFPNZQrATTQi4HIa90GqoEhVkkeTDjDOh7H1TUcvsiXuRidOEKMmpfjf1skea1nffgMwNbowBQtjqtA4uunHeZAVLBKEVpGXaydXaO0aNtzEsfk9f7hnQh8Un1gBbtbPYTDIAnKAe2iyJY6BrHDkj3kqSDrgJcdmSxmR10XalLGXmDg2JnCtoEZDvW3DQdWYC44vnvZu9oOc599GEyo1KhRMSokCnXwAxazVlLyeT8mtJOHb6jVx2dWVMuVebOS1/ml9goEJKZZgVmoFxpeFgoQh3TrmmK0rQgET9yxzGsRLnodT6hoK6VDE0THZo4higy+PIpij2IlSDozseJn/3sZxeW9nrNz961PwMAQM6qow0KZW5kc3RyZWFtCmVuZG9iago5MyAwIG9iago8PAovTGVuZ3RoIDE4NjExCi9TdWJ0eXBlIC9Gb3JtCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9NYXRyaXggWzEuMCAwLjAgMC4wIDEuMCAwLjAgMC4wXQovUmVzb3VyY2VzIDExOCAwIFIKL1R5cGUgL1hPYmplY3QKL0JCb3ggWzAgMCA1OTUuMjc2IDg0MS44OV0KL0Zvcm1UeXBlIDEKPj4Kc3RyZWFtDQp42p19WXNbR5Lu+/kVjPtwgx2hPl374jd5m/bW47F0o+/ifoBJSORYAjQgaFnz629+B1yQCRLng6KjO+hwf6hTWVlZued/nf3H2X+dffn6rI29FOdcOXPyn8d/ynGsvTmXzmptow/dxbPX78/+9m0a3Zk/e/3m7Pz11fIvZ6//c/jm9bEfqmGsIYdQ9Q+dvwf2zGAHjW1uTM75YD7ifP0UVq87tDyG3Eu3614u58FnPY2p5eofsQOw7wiod250radi1v2wWX+4gw/H4L6Nzfns7ZZvlpcExXzsY3Sl2tWvJ+yziyY/tupllxq1YvabZb+xO7vi9i8DgY1j8SV1g70yn2s3Wbxs0kXLFjcEW/hSR/C1pe+HxQdmsy3K4dYDxlhuGHCPY4u15yfPZoYtehljjyFzWx72scHho31rBrsgvjl4N9bYWjaccUFh09hCjdGsuyQ4I8g16DEe8PFmS1yCEMrofc7Bbvj4LQgxjqG16D/jFoQoiFRb/4xbEOT2pZoOJOQnZqtJ7nv3B3zxnrgKIdfRleLj6dL1LMgV7DGVYi7C5fLdcRpXeVe8PdWR2ak8BjF3y8Qv3zE7bR2ceHAD/krsdO8hFNFRSrvb6fZqffv2ivgBeYhqDi3Exx/YsYZIuXnm6HJGIp5DMOgb5jFw8oyl0pPBvj/+GPgw+ujaoEEMV3hfxi7ELWZBcAXxGsQw5pIsnS4WK2av8gz5FlIz6N+YNyFnWTi4arCMpuBLHFMRmhn2uH3mvT54UERNiS5bilFvQqtjbblZ7Ip4E/CeVFedJfZmuaAulM9jFJFlOWu7ub3ZkuJS+LJ2w2T/eXv59jh3hiIKaPKl27NaMZJWlNHeW832s29eUBJIaFZ8Ts+c1ZwEir60AyFwmgQSiR1wasO8TpdFYShB5M4jihYcRchUXQgWy+y0yF0KOUMGKOzxY5VnIbgeezF7ZJQyEelZyIM3UK243mx3omPGQunyOKQq7GzwW0rEFjFRfLaU2jImivd1zDX6asDLP7fLFSU9Uh1T6F20s/kvP9C9/eicbNssfsWoZ5B6wXmoDscPWQud6sbWUu/2oJjPrfKMppSr2eq9wjGneosl2eU+qJUH6phEf/ZyY/MBf92u9rTg4XlNNovMCXbPS0ZoBDGteo+WyhtKxAaBNO/NhZrVgUVlyLHZz2We4ADb08dUzk7mxiGkMJbYm6XxJ2an8vQnEcxWPs48JFk0wcJwot2m8L7zPVvsJXWk8gKFlIs3YIaJQxV7yrlutvmCgU7Ks2v2m39jGBgKbHTpQEo9qz0PT75dSV7PVMXw3il1oiAR9BLZ7mL0B3i5e0sR79eUUipSJ/gqCq36Ccq5IZe3iEIbzPKUc8N34ZNSDZSx6rwYsDlXXF6F/TjjxolyUjX5bHZKykh5THKanDF76IG6gtCghbu6+d4lpbj30YuMiwb758xeSxmLr76avd5sbyi1W6yFVCBu1F4pfmpBVGcR62cEPw2H71AWTaVYfuL0ZtG7p7VjM/gPm/Vv72adG9W3fXbcea7eM+IjZXk+vbNndENYKfBQ+OiDxb5gPFcZBmxzllzLmw8MsUTTzrlEewOXF9eUtG3wpBZvCLaYobNIS7FrrLx6R9kXEHaJEhjPmQhDjUWe/XKHpU0EhWKUZjHDmpjMORrs9oq59E10T3kFcf8U+uITY693MT5biLA+FXq5ufmwuFiOzCWO8g7HUAy9vqMehSQmaG7wTe6Bh/M3i4vtC8plkOGqKJZ0Hxmbv3oxdlK0hFsyNn+VB6nYw15sKDdHT7B9U3mSweawFbavoRfYjLDYXZbHO+NR0mzG3CfXxTYL3RvsFad7BzGPurMLi6Sl/BtiBfeQ99CT8LhY3lDiFmZdrWZpStpCYsIhbOnFabYFzsZgwcs/Kc02IbByACZN2T1FMUxHfkexLXNaZ6WPwl8V7oN79P5pzcgyBHWcC3gbNZqRZPJKyIeXZrBrSr1FsLCG4rJBU8a/k799QCRLUYxXjKOH69KuzUh/L0ccEYIz2C0Zoiy5pGCwnxh6QUftPlrse1JHFQ4PwdCL8j4U0RflaT44pwfN+rjQxtUIKVlqMZdSdDaxGGO1pFYW0PP6Yoe3NKanznjWgRDHLiLQ8hftfBBbtz9/xsMx2enVMc37Dyf/QUvF2Su8JsVtdcKRZqOzsSyxXFKbMgzUmvv6h/djz9nJLwL78E/74s75MWRR6nfpFfEhvULM1qd+aHrUH/9JDJnSRfYF/UPnL5/Gqo8Q2VWqq3jUFfarH/7x7wTcg0FE+HW19HD+zx+/+frffvrmH69fnST3xc4eQ297eSbDfZ7JcTW2NNzNEov+iX1P97PMVoXXfPfZYp9XivZ+SgzBFnr3zS68XGwuKOkfxuJaDwZ/RXkmRIXuru59+LCvRB7Hin7RYvZm3QWjYfggIqVlUfzNpm8/MO+lT/Jgxnyw9nqzXV6+YIgmRxajGMLmB2bcBbWOrZfYDbkofb/BTurB8siHxWan7w9zOmyXh6cl+8W/MSqZT8LcpWeD/USqsDH1Zkn9D06DRWqO94Zef1DQKn+3bK/FYku5C8roczpgr/WGoVYWSR56McLk/NWnm+1yxh3cpoBoLYNh6xenCTGxsVqs8hck4Y/by5EQpHtw6CjV2cdgOJf/MyPQHx4D9UPnv3zz7Te/fPOPr755RZhcuYnVVHY2PhzO/f5rHjP//h/jIHDyp6iYXf/Muf8XcZA1TM69A/DLkcv8E30NPnYDZhL/xOorKbb0iB3INAKkaqQ0xTD0upe3746ns8lLLzpIigb3VyqEGBFzaQb6y3FhGESbdV6UpX3UcL64ovRoud7ZJYOW670i3lukaURXsz2bBfHcilgQhbRaxjznQqWiJYQgD/2gwa8ob1GVv6uv3RDs75yd1eUey3trmXmGK3qWOyAGi0Etb5g7EGAcCigZ9KtnXukD/b2PyAeN5hrIK035TuEhK6lZtly9ZZ7LXEaxp8XG02DK5SNSB0Fiu+3NLeUv7qOcdLH3l8toEcGfStgHE0kaQVRIJ+vava5YGSl/yooxyUPf7rB/MGE1KIApQ+QoLHO4bcr3bVCZ77HDLip9u+ASpMOYW4/2uy8YVw3UXnmqYzXgJx73QSdVI6ElPomaWTEg81bE3aCxtyvOxyI81VpOauXhfDuXkA0lF2yh1nzm7h9E1JBc1bLdLePcHpCjEcy6f/s2Pzz9P1OZztCCqmjbhmaUq6WJxutaTJY9mJBrEy2/poMrQcUhu0cGQq0M1hINEYle8Kop7OX16i3l8PV9jK3nZOn1hlK35cQ8UpA0i8W4oUS1PE4xdPvljKMGGUTRQc9X2L8vPi6ur1kJlnsXkoc4tlYfGHW73KwW2+v16jmJogMboYlGIkxjfuer9eoNk5k/JYAmMZWy+QEqMpLhe85tbxM7y/KC1ErKlHD3zLLPK1JV7KRYUzLY9YrRpJCN6Jrd7isq1N8bzI0eBw1+sLDmNAsnBpLYV2rt4fzVxfWS8kqmgGSf7s23X5C2pdi1pXDHPBwmGaVseYy63qK4hpg1wfbtKSqFR/hMdJP9j5/4LMi/ZXTYyayTyyaEcwhO3cdnTrDlYKAqbDjBljsA/0TZckWesogaEg3+8rhrVuRxbUhDfYQNbMkLYjJiALZglvzv5QuqfkvOWjT+atDfUy93SIjuOgv+lpFhATUOkzNSYZdzOUNlTN3ts8VEqbdLuvgrl1TMor8tbidhcER8QQlsznLjC0Z6iTUWfCt20QVnCHYIzlDDwBzQgSsP1KpJ88Zw/iP1yIcxlJDt4S6oLFIRmz33bE/3E0GvEER9y/XgAo6kclFElWuGWl8vKVntIetTNNS6IFOOenAH4mpJuQGFK0ONdsMrqihK7LA2WWQKu91Qxg1sSNl26uY6zZiBVQglR1QORM7lCWrUmfCHsHY+MadMQCKwQksG/5605VpPInQesDs5u1q8XXLOpMnNXJpZfEkFoStS2rw3WCoRT9SIXOvButuRUhf9WHuqwYC57KECj13QBPsMCyvAxx719w9kKj3SeOHc0Z9/QUWj3fR3fuq85sgmlh2qHerpWFlX1Bexo71hNN7CErWxoXZHr72zsIb5SHh0MVtG43LdUOskt9NSzJPGWeiQvhrbe6FkkRurk38yPPIdhRU1JqPsUK/8DbPhiiRXlw+w3zCeqQdhJtxSxJb3vGnS8MBGmP8P4IGVZGIRoZauebPwB+Jx7glOPJi/GrsmHmexpmpIUMs19ub6lvNOiQ1eawgDubTCIl08J7v0iqrVFP4QHbnZc6JcLcLWvtVowRe3m+stlQYkr2yTs7IEp9T7Ch27RMMjK9KtJZcRF0otyzhLpmLNItxpsD9vrv9YXFCl3r6NIoPs1aDsyMGk9TS53+ZD5IcL8/jd2ZFVLlkpYijFRyvyjLEiQ2v3yInw8V9Mid9kQ7pH6LToDyNBeORje5/N9x63Hwe50dlF7zRozalEZUQQIapd/heZ0lFyFutvf9E/ZnphIMOrIodkH3TD6THRi45dNfT11ZI0/FoNYOe9XXJpePIciu6U1Kpc8LA0EbQpdAX9RCaNiPmkd/pmwaXjwuMl6nEOaq+cb9Y1VOTUqBaGZs64q0KaWudoJtxSdxy1C0ho3UeOZNpHj6WLxvGI3NdOX12QTjoxGp2+6WKfX5NqS6jd6bu+YghWMhJak6Y2E1qGyiJaR/H66pFFeUmUnbRPsHOuwETUcLkN2V6EgROH8rlyvhlm8s4V+f36drNaUEXLcnl3Osce/B0p3FJvedgHUjcBOWcxuFTUmj9NhiKjb6Q2FlGFo4K/p6JhSCgSC1chOe8WatlL0bvdsm59PKj7a+6nNL4gFZWQXdGn5OOv5/HXvzDmMQz72Lve+BdH3z2UajSXgj6lUCljBc9XQFThDjtd+l/l0EMrL8iiidJybnrDXb6JTVvKIHmsY4mut+cVk+FJxQTMpbDpX6zBUt0BmEosaWJYFrGJH7ET0b68ZURP7yjfKtlueXFB+an96JGtZMErqs0YkkCzcIpBf8epHfKMiwJhl/5pQb3GOcGqrcXQbL3iMnnc6MrkR1Br/3zXnW3uTomZ2EODMFFwKpEfSqUIfUszqmtZR7E6ygo1lnpnphoTVMtpgs2kIMDVLTba5+wUkkB0npQNdsX1lgmysKjslq3fkXlLsZf9lXfM8faa9FeL6K52z1xsUVSu5LNl6qcfx+GwF0GL/nDh9YrsKRA7Onlo9Jap2zoTzXbsCXkPhj1G1i7LolmfCWcL7fq9HGDUNSR6xNhz1eDnfKHPu1+QPutiNL/Dul/Q56ZHg6WC986LpdecHzSWsp/g58+o6rFYQhdy6LPhUjPYZ32hw6HPHe5MS643VAGWHFoQ+82AX758+Z089dl3svo+odOeIVyPFBjteuQBUF8wnBpOh3aUqi/BbETUjXiauiEmXhMDvH6OuqGw+UR1Q4F/YW4rhGPGPbmHDqxd2DJK0zscMGrZrx+iPEeVDRflzJC7oNHr416YqcbFt3QA4zyjUVQU16LZ7W8UVk43+IOFH0rLj252agU5iTUFfs1kMiFxNqGI1uyYbOhUQ3JiuivslqyNjKKTmWXhp2CaQaGjWS72o6liUDFyokdutMbOVfOIitBCKWarqzfrzXtWJXI5BsMbCy67GeqNmCjJHtKKdOrIc98td9yI8X6xvPmC0ham5GzosOonFnx4RR5sucxjEpWj2u7ER00OL0Z8RTDrAU7X0HbYdDUfLM2U6Ympk0utcqc09nmFctDvZQ1FFGANfrPekHJkihKYlckC65iiWNMa+54KsKB7UPMWuybjK62VYil9SenfU0OeAp+lRlP+oQIZhLpwwx9v5y50RAZntEdEhaRrRT55izRvqJh0ldNtwZLqzWbxftY8SsXtf/Gun85HSoKUKZsn2MPd/D4y8Wh0l2iiCBn4d1SXtlRF5fXdXCUmA2GwZRqlIgOBYNAnXLxoJ5QG4rifiEyXWpzdPNVVuggi+QNWocL4IjrFDC/eXiouA2F49Nkm4bmeyz293nB+ohSriM9H8AndMe5izDmapV9SqttUbgteU9jb7Xq1pvyvwqwpQWE1+76lHB9ZqI6qumc+fTbS5HuIhmhvlyuySVhADSVEsFr7n5TzFb01emh215SjqMDZkyynbH6nCr9Ev+iu2I++IaNVLtXkDcGu1lzNmBx07snumNKK0A84IjqgwV8v2R7oKTXLYRdUul8cvfB4NtjlB04VxDSBEGIxFFuvXvDeE4gEFGTJi1BVuu8xigmge1nUGywjuptH85bu7bqL20smXxC1VEUea4um3B4RKQfhETrwFZwefsEMbUqt+5pqWoApJKVb7HMpksPhfIxSothHGn69IkVYF03BntRLsrhE9Mf9k7oTYZQyJrpN7y6ZhVdbqmcNVkYrdw1+xfWskRdnmg6gwRfXy+01E3MfgkfzGXlv9S+cXDThxXAQAoZBf8iHxVuyExeUjbjPcxP9O8JavlOfUEALZLrrT/BdLhLvaKrCe8IMIt6FiU/0NLVmsOUET9MB+CfKX7Sr2/B74GEn0G+3N5Rz1ctJiwEVzepXjIKMOopa4BHW4K8o5p3al6ViwVRH7zR1uA7BYKnZMqhOKrF5Q7LlhnNLiM02VtF57NprqqEXjCiPHicaTIYD4UyNoiYa9F6iy/HL7pH/0OxZb8khM+DxYqj2BaWxIGIdejfrPsi44yoLjHv0odHgmT5VMOtDPliSK6cosECqvVMUmURHqmgMYm7TkqrzlG92IdjjWW+WW8ZQRNvqBv+6hs+VRIiwzCnkQaMuqDKMO82qytOXRPymOKGH89V6S/VPgMNJbJ4GVXjvB8jA1tRx2nuoCwr8E1sD1lrFKSvw9+sV9XKiRZ5rFW42haeCIqKqiMzGSd9jdyLocq4Zc5KXredk1qR0KyT1VejdGrveUN2gGlIYg0XvezP+sfyNbFIqenz3g/6MDelOLlMuhcYubqgOp330DrOJNPh3KtAeUXd9sC4p+0RDS83s99Wn9x/IDL+aUKWvL9j65vqWKmadjIhmr9d7RhyVjnZJ9YBhmMrnPZMrIqsz3F/N9fb6j6ninGq6g5Sy2M2PnByCDIgfJyin6lv+oLtSTBaJwq65QUsRjbHBrwp8+/54qnFCHzSXooFRtT9iZ2dREILB/m+y+WaKGDvwgKUHH6BNvEPevVn3w4KygbJwGsryNPgtVeTQkmhUDga6AnPpPn4MvgbLpYEMbDcRqsFQq2bYLNG3F2QejesNj4j6AN9LOCU6LhwmFljvvqeTjRZvsPVEo0WBTwiPt/KIPS0+ntHCTa/7LRPcckJhJ9LAYKng1l3TsWwXvhB1gTKz4BEP8MTrtTmXDNoAo3HqPng4/4qyduIU37LfPZI9JOXlqt1gv1rcbGd6tiLQVFtP0ez3zWbBNexAslFN+1se9iaWzg8SSmkK+zy556PmhoNa12EPKyyTVYDix16RCqGxpHUWEAFAcxSN5ua8iXomT3Uw5Lr8tJqLr8HzJVqRXfWa0hCm4ZQHvHVxw5QCTL3E/YH4+eIUh+6QHBxP7g779zUX4wGl4DTbAw9UR1fhyuJyhE6kFt6vAR9mfKtItPYGfz2Tn9PgZoEeoVA3ZPFhQtflRyxRKI/EHCcabzIrrn6Nsd4uVxe7gvlhPj1fDjabH/mNCjbLKZUpwK2wn0hbpfbU7cdfXpNpb0lUtmDoRU5vqKNvDs+5WplKbEVv59LdAWtRk4erXERn+WP5JxdPQjlvhajW6M3cCLMAVTPZzYI7KIMMge2Mvvoaz7nC4O3ImBpD8NZTLQThNR9O5q09uyZ2TPlAis6jABiY5Bw0gZDv1nimjZcwlzyJaLpo1r6Ze4yngkdRXgYNfENl8u+G4/WoVh3IJgzyLpUphK9W3ncbvHz508tXVPZbHnMNwe4e2bCk+yO2KnJQw12iyhrrNBGu2G2caIhO6QW+eHMO39/OnB9MjUmf0bhPVFNsKGKiehpscI5yfFR58Lyz7JpOqGAWojUnnNv6ySXMNT5iJyncTihi3gdrt+AwH1BxFvxq5G4ojITYDfhbtkl9686Si0pJhdKaUAutyfUnGQDqYh9ks+6jGB5m5ju1jjbzGs214ULbjYL4uAb/nXJ0uFEs926xt4vV25Gccyq6b4uDxv+wogjePWZ2VL1t0SFnJlnIG+9FmFhaLy8pVwdeang6LPwD03sRHaZaguV8On9No0LERsiGv7gu9XAjynW0e16JJbj8ghFhSFpsvdsvf7nimzaJSiaXekTtzx17f/iwWS+46REoxcDEc/0L3PSIAETyj1g6lISZmGJBiw6u110zFfxBSFaRtaKx75k03oghI7E8v+xRP4WQysulUti5CS+IpXSxN+xWrxkjAw0jc6sWu+uBPasVQAIFb892QTVHEaVAHppgF+bm0YskqJi+oxnjuLGOfA9YRQfMfE2muzm5jZYnqNI3VLK3eHAHtnNjjqF5JjRI0NtcXbPdekVO5+dO9njYWGRlEMXVfjFjTqFAegpKmhu/JKccdTHjmrkDS0pYwiYS60LTeZgp4JlGJbeCUhi95u2WTLhF9X1/6vIdEcpoOeVaMdtkAjv7QhndVnO52ybnDcVs17h7D/bQ6jU61kKqiRXgssGSBQ5hdNlHC57xpcj7IbstYdAozh2BZpYdPb40pdgHpITcmvlcbjKyPCDF1W6wVHJOQBE1UvY1lmpfETHzc7q299jh2SjtEwVh3cNFr9ddMWkm07wk9FI34I8zpXMZBlIqlsbQ6E4q7B1imsIiO1/EvoF8td1++IK7Fkh/7EX/1Pnf/vbx48dxeU3VlUS0P60wne5/gw7NINopSBgwav3b7UP9z/EDEPp19OLX8DVTzpcTxoB6A11xPUQCasKbJduazPzMcdKpFXakmuhX6JXugF6Lv1FRT7mfoqV1A/6drcVBmq3BviejnqEhJKQZ5G+UpxE580H0d7vjD8yD7qNIldIteLm5+dsbqltCrGOoBY+k+oE//0rl+yd04jj8dmrfGDwFaWqI5kcKDceX78l+9+UbhmoVM3EmB5yWL096rgbC7QkhG++/ASVojKX/GKeOYZfDk1lf0PAYp9bYflpDuwfw8BnJtXrlV4wj6TFgrMHfMvLszhdUDfYUX1AeNPYUX1Ax60IvG6hZ3/AFBYM+yRdkaX2KL6gb7Km+oGRIdpovKKrVaV+QPeMTfUH2qE7yBZXP4K97X1A1N+oUX5A9qJ0viHIFuVFETrZEuz46lmhn4dRmr+LqpFBz9MJl7T4Ljmps1jBEHiWgGssEijBcT6QsSKXXZWZlYw5mRrG/xm4+bK5ZhxfCpxp9QwofeSPLI3SgO7VA9uTJB6SWnWvLiXx6JD5oFNmhYEDFUUwuNoMnSwFywHDY3M1+yR5ZBanXCOurtR91/4GZ0HPYQTuip6Pezq5l4TsqKlun+X2Wd6j+So/p4CKMxxru09mYVuvDVAUq0sWC19xLnV2K3j9id/kvtxdcrunU3zVFkQ1m9V+oMpiMUmkR5Rq7JDu8dV9LN1gqfTFOVX4pMes+0dQ/JRTdaootqF4NCV2VktwavfAFaedV1Ehr6BVp5qWOfFqFPTEMO0xD5gOKNPQnpPgrl/lZJ6uv+EHj3a9/+WLWfRtar/asU2K0KyiUvbZiwNUj3zSlHl5QbtE8xtZ8Nr8iinymWqLEsXnU6Wk4FQ5G+7A6CQd5F1N0qpXTsxmuyIUOIftH1MC29d9ZDhhcoVd0/2IKfyfLoYBSCvw1o802WMkFzbA1+N+OT1MSNUVkbxLGUqgFNxTXB4/KW42leqDIg58TGu1oLJWo5dCpMXuLXW63VBAFvfF7wpVW8JFMLtkhFGvs+85ek5IwesQo9j9hOOfGukx9b0NqzRL+C6rRNjrEZcuf76kpvWK0iLokZocG/37NzVpHMlGM0bDaW9YH1EWxNStzVuLkx6micllmowaPY6qd/E+w3Ebl16YpJlrtZwvF3pKlfQ6pgYZkVDMVURSbvDlm6TWpkIl4L1aUPN0rYjj0HfUWq2VOalojfEcl+sNzpnLs2hgDmiJrsb29puxETKHJyJJ7+pgHKkMPxiKMzUY3bKhThBQdHzV2yY3rDUW05TBo7Dto75wA7/JHy49r8wMzXBxdC1AE1dpMyy+0Gm8JiTQKu69UUf4bDP6psUTzCTMDBFGblUv22VBtQdZmoYGWN0tSzvfoRuflow32949kmwoxVZIFM1kOSJe3HELOgUitH5zwC2av6MwekDWgsb7LNWOct3eK2yTFimnBOaO3pTpo1Al6m7Mr+n+xPftrOQD/G2O/ouVpCmI+ayw1QRN59gl9q55a94jKh5GdoTyi7mY43LwgR5lU58CJatGfRtJsFXvC2S/+frH5nfTYxiivooEvyeJpMR+7/W6ueDoiEzVbkr0ayalw8MjZj/5hub1abqgunJi1hc5PzKcPT/TDzAc3iUp7GDCXqFTUnpzCYKgq6q7HaKg1klVFOaKjgF7xx8Xv5BTgLLaiZY+Zxg1ZbOSecrSwT2SbKDdNRNObXW7Gk3L7UXUdHjrP/cTkD8j176I5QB1X4PvUt/nUfhdazAY9l1kCnaN6sRcVilJnvcc18sWsiE53A9W4t09u06e+d67vi0d7nmKxM6lvsYvZ0HM2e/2wuCAdtV3elKTWJNNoMHgchoP53n2P6HBsDoJPDW+vJjPbEQsPhNwie0ysyHDoGIznQTPlXNYeeuyjC+IDbNhNuyJtYrRzym0SVYfsMcznz8lhO4ulem6ivXKER91Qi5qyPBk82T1xWKcJD+Hvmu9ptlpuubLmKdrjH9G77CMm0AwN2k/GpcKuuVcc2WkpQGQq9A01YWTqHgalVGG50iAUJk4dRRTBVGkQ5b0JoxMDMapvGM7//btXf3We1QgcRmvrTVCNC0pD3KFYAjBJpkj/EW0xR4P9isweFj01i3KtsC/JCa8uu4MDv371DdVFBfmI9QD9DK2HJ5pI7Rz4++jTRyuKWNs58NVHiHrlT/RECwOnklWrN8ITfY/6HE+0WjGc6IlWYCqvogVMoYwH4BmzxEH8tTZoEOXHELYW3o7FLLgLPh7xfkSBeXskv5HZMkKeaIm75PrfOWRch2i2+jvbWQYJp0GtPHAz7qEHZbG+gvnsvzNqRWyCiJB6esuM43gaye0ODmh1+Y6dYFBSC4Zey80LcmBbdSh70ATjBspOznIoFea7qbGwBUPTggV/OTIUQ2PnKuxpwD+TOY+1p5gMvRabmzklDO3YDj54wbSFQVsZ9N+2R/yaSpOUA5b/sViyiYVob6Vh3rtGU1pjTsjFSNkIWE6FCqWMraMHp175I5klGRoarBh5R6lQoeFlQMmoRp/QrRxPEXy4ppnkvNaYfJ+cR/dgurqsoTVDacUufLWkmpV7BLJDNuCbJRkxdKHA96PA78mOYNVNIQmFXaxYf7E8avUzyIU0jZrh3VbrziQniW4ag4gsg6KqDsXeTU0uscF+JNMzmuiWwWx0+dtItgGrMR7QWLSrwLgVH7UrtOaqPj6vXQ1PaVcadZJ2NWjsCSOvoV3tgwc+Q1gEVi3mq//tKF90TGlyPtm9bm5XVH6eqCwhtp4NfMV1qw6ibFe07XhAD2wDRkRNSol2YbJUPDVk7zRLK65bZwlyHcCUGvwtWahZA6qGNZZK7hX2cJCSmlh/juRcA/Shtt/803J7taZaNzRwV+sGf7l+x4bKGyaumF2//URlCNdpcoo9am6Wj1zjsQuPGapxUzTgxBXbLlv5cbncaUzPt6NqyCzI3tL77QkNKyG1pnnA4Xhj5qdKErtzfdBoqugTjf4bpj2rpYf7msRjgVuf0cBWr3lLjaZGcXlFtZoGb+f6Qsl1EMvbm31yKZYxIXnDmyXXb6i51NBK4eRiFh6eGGUr99+Ct2tqdBHqb2LPls7zs5amSdy4vve43StMNUb2wlKlYUKdXpVqjAwvje8I3Cjwvm/tn6Lb3nBiCPlRLWRLPSr/BMfW+uGZUyNDHBosx26wK7LvrdjW++yyG/hM1lthyqml/OLm+oLPP2lh8izW7u/g/74SdmPq1NAS24mOa/Bvry9I3cChA4NBL8gM/Co6396XD3R+grw2sYDX1bLfURkooSJ92hLs5va5PtyDzaqA8WXpxaXBoT9yqTkNGvzDav2RfOGzyMSq1h7O3y1JR2wJ1dkPp9wZokLGgBkthkkob0adOqfZdam32cndENMiG3q9ulpsrldvX5DDn7uL+9ueuOy7778iGyS0aZK7/oCX3/1VBF5mfCMNDS/Rdk79woEPeqDiPb1O+Qgx+ruaInzFCUk1wEfIm64qImd80FX4VaFOsJKglSlsOiGrBrdMgX/hsmpQeAqzQWHJrBqHWia77mxWDbq65L2tTjx2e7UgXcK+Zd/NmlRECDK0pWr3yo33QNfNjuEgTxH5qFolVzIMJ5P3DHNUsq/ecuEPt1TeOBqGi/C0h7PYjPxI2m7RP1Ml7PLdPXuL3aw/LN4utuRw2TgVcehfmHPKxqknk12Xmv0SQkFVb7THy42uj3Uqu7S3lwzJD9Mw2xaaPWnOvtmTdrss6rsLNZNIgJxY0UKhOt/Dzh4TCaghz3AWtv11j0aYB6uTFPQs1GClBf+Taog1+UqD3cU/n+mh+ESDidBFCR40PJElgvdOm70NyFM1nNB2EqcXC5wY6gPk8xPj0IsYCOfxYoqxOYqQ6p5uMh/Rw2l6rzXWU0PYIxoxRQyP12gqvhbF9pBj21964tm/oyycwVcMWxLRqNe+uzBzNIOCllO1aMrZlRyyI30yWCbBcUheIM0XCyYcZWcpxBHNuqKh2JrCoqAkB7vun4Q2m2JAVfYBsZjY3DQ3ocJPrrFfM/mCCY0DhLXToMGrBQXuyNgX+3QfPMzksSW0jGmI2eglj1ewp10aWY4GxUS4MQ4v+hCb2eTvVHeD1NHBrbtgdjnT3SCjYZz8bbdJdjfYXfyzOk28r3fYD5s1de0RYg4pDxrNeOIiVHmPahON3fUnYCKvsRVUhFf77dTI6NinZlIaygyM1rwi0iPIz3jzCdRpe+Rmiq5hiEfxmUcXDblNlngE2TACwAWMBLFYQlpi5igyuAyWHRidUkEpXMmWXm8oIVChiJY9Yu8cTbc319TdzAJHdrZem3HyJTRDxQQaS7ObG4Zq6CmNKL8GMxlkGTlgTsSRYRIq/JSRb1NROr4PHs65UdEZ2ezFp24+m4tA3UsVtDgQvfDuVV2+X6y2TzvXhkONQOzCVM1P/JNRZWDJZshDBaVmpsUOBQwlkw/gicl2PlzycRYRDLKp1Xc1hDOqTIpTzB0vwD74qaS9o+yaAtwkxRLv2RGxw+HDmdAfwuD9VP8eHFP5nzDxO2V7CFCEKdaF9uxqMsdAKaOPOnRCs6LYutWhh+exDzq0wvrnxssOh0w/6dAKfZoOPWjw6Tr0Hpzt87mnQ6vF93Xo53XKBx1aYV9ROuWjDq3AJ+nQhmIn6tAK+yfzgj7q0ApL2RuPOrTC/i9RejaMcyEV4TFUr2j8THNguc3omBn6I4yueIVSiyG8zSy5ZVijebRxPSDzJ4Y1kDeFtG2DvSZV6Zx8SoY1qP2i3UYssZt1ocQPlORyU2tOjf7IJBLkgOQ476MBM3V+OdRp6oblyktGeGS4vFwplj8YNeP+qUfaFqyPQwNimDUgDPoPgj32DAiFvTcgGD3hwYBQv0DVVOwMiOj6I3ii2FeMrMcwnNbhzdUrf8k87vK8JY8+Axp7SzxQCSXgIjbtjm9ujpuYCYOhS3di6GlaU5nIKSVoNdmrVcnU7ZRFmSvFd/PJXy8Y8VOEVoK1dP7j+BCwhIlYcKWa3VJ1wqmJwpKyz4YxvqZETxpDR7W7Xpl6hTu6w0Rn78O3xF3KLo9i3fh8cJduKEMDDRJDaMWwxzsKm1A96i07M9X2OboxOkwP11hurNW93ELyd/Z30OPxnyiKdcIQ00GjRtJZgvaw3qz4imlRKNbjKFpDt597e0m5eKqfeuc1g6bGUWMQSAwZmrwCL6mm6rGjbV/d//Bdftp6w92mqRVx0mvvt+17zRllCU1OvCXAkvKYYt5jtN9wijEL7Ss4ZMvpn2CMWWhQyaVgl1/+9gUlUIoIhUndVOT/hfI9TKSv5TOIlmESIBtbQxkfkZBJlp10gueWPap89TAJE7VdqtMelC8hdLT7ZTKR8mT1o1mbxjKt9nJEBzNMxtPYBaW3idAXmRKNQGI0mJwg9L2lM9NY6l50OlHfursDvvzApKnF7JENmQz4HeUyltcxpiTSV2GZbK2zWNwoD1wOauHhfGr4yfjDJq8SNLb9tR89MwMVH4xINawNDlC1hR8pSeQcjBowmQJfUJ5qeWZDrxa7vaWmbUKAei+qiSH9P9ZMAkASLg3em0Mfzpc3ZOBIlEeYJvrUj+b9i7Qfc+3d7ndFmdgYfZXsgl+t31PWMjQR7/bQkwj6cLtdUlLIIVUjNntBXl0wFf1ZjAPXkHCm0RgU+oLXiUpvyNhou1rf6HKkNAV0b+joy6Hxz7odD25Ygp88hcGsXwN1tdrdjNN99HA+jYhvlVI2EN7wpSazgV30fjjB8yi6tCjypbXPiN5rrK+nRe81mvc8ppAfsScH72OE4aHX5qP3wcEk1Wg6eo9CpmLAr6jofRhjjtUuTBmlfhoCnKshGeu19DUX+82MvwReyxzhatXYP7nwvXx0bdnyyGvKhJ9mRMvNVFCqUFVkcZFTSuaIuY4wCSNjDrnjP28v374//gC0JmQWxjJIqjtJQovXWII9oy2pNteY9xcmpoBnV5C/lc2CTCgbSm9KrljJQSUdDDmg4LoGyxUf35Fuwy4c1c1eKV09wTL01fLyY9YCEV8sVbS6WFo+nrUwPO101OiTshYGjaWdjntZCw+/MJzodEz6w03WAhG/eMha0JtgKiYeshYM9oKSuPdZC4Z4lMS9z1rQZFuyz/qUtaDXfchamIvKPmQtGHoxyaSPWQsa/PU3DMUEUnvMduX//TJQnsg+ufItzZ7pP/6ERMpN/mPW/nWXTTmriMJaQo2fRm+vTtBCRQ8X5aLd56GeNJ9hiAgB+eya+Z1/Uv55obtP4RHKJ+c5dAoQTjXLTiVgXA4AvOUpZvMD1O1EJbsL2dKOevNSFcM8J0suKm0ilSbPNBLMNcXunWQ3v/6Fct8g/NVc0N9wahJu9hhOiEpivZUHO2SgvBslYVxEaruqlxwSLIkcGP7FqNsaoJaq32hUVAqd0TyaOWrwd99Qr4solx6T/R7A0zl88w1pQVUR7dms/BUTlXKoPswWyrzHCIaJEuEsdia50yMpCWmzGsXa2ciRCTD2DKVeUZc8C1hEiz2ji2uGVCiEc2IsG/ByS6XmFDG2MDtFgz+Rr0lCE1kNpSxjtOsuKXtDLe4ZQieD5OxtkGeIKUvYM6ox9Kz5lo7NsxueMaoV1rcTjWqFfsmGe/w0/fYBPOzGA90suOq9iLnVHq1F9PI/Uq4IDLhwoUcDPijm0vSaUh8aWEShNlSStqiVpfuYBw3+RCbD1mnWpca+oBJa69Sbx26ViwIm9GCanB8K/BNVACD8LCt7u/IPM8k4WfSyVINljRVVTYVgksifA1ItL5mpbqll0WXLwY2gysiQyOrgBrYXgrEzHfoRouOUxh6X8tmHKYU1GFKtKTVgcpa0alZ8bBN8NKKDhkINPSM1+pmuHM9osGJ5oMf5PUNyiitc10EY2sA/UfZpHaNQuT5id+1kj3MkFBbRkno1Sz7t/zuILsuT1FwqBrzdLFZz64q8ST01ecQ1lBI3cXQ1BEum66PND6GnFDHlvEH9wSgqaAaUsrPnuiQ9hvJfUYs/Y6fBydWRK2/WhfeNyVZEamdPdsdb6sZPDQwLbq0CB8eIxwyhnuBwVGCXT0vjLZNuWVsYyDm2++/+PfauYvxftG9pevcV+hfKuSQ7db3blfkMEZcxh3cf+wN18fMYfITZqbBXiw1TFAIffnW9dAMnM2k6ptcEGA4K/ZJ6RNFbpyJkRVHb3Kow9pwg7hSPzLy/HlOeG3wTasU3v8/EFDHEIVdLoxW1y4ixiciw0mDKG5HylD5id0nJHYyihhZpD5aJNmQ51uKg3ijsXPZc8aNrGPxq6PSW0m7i2CA0zF4pBRQzYEuI9t5+pBKVq/ydnP3o570fg67AC7nssyGdiA69qOUptKKZkSzwqanYZe8qvuk0Dnkcxh7KDm0aF72jYnhlGrouwkf91NPMfaA94ApneZA19vqSzE1LFT2pNZhKW0Zzbgez4QE7nODwcvg7OvvZmP7KqOFI1vYlWfiKsljQ666JtNXYBSWG6ug7epFp7DsyiyNnteXh9JGgkzTzDd70/U8YzsOv55HyEkK+5MkXoffwxXHhXRJqY6vl0Vrh1vNUJl7A/ls3v+ADtW3MFHU+N8Nuvsu/OEkdyrVO3XfDoxtkYNUhjQ3uX7QtA3VIo7+nvJkPnQE0+MclqdS0jNFFD+CJZh+pzNMyJY73bla+YTTA6hHxycVgSXWoIQ+mHBCMVIeCGBlOHiINphQFeQ96rK4aei2vZ12pubdmv/ftcrOlMs8xLyYgRV/jXzNJCQkuBUSHNJacfoJb7UKqbTAHdUNWBGOCSVVrD6SuERGPFB3ScBeVxoHQFMorNZaKoXa5jN6e1Mz5drgiSzjYJxXil4dOFOZkN7pZ2p6ZT9UydefSk986l5QgF1/UT4ul8i8Cop6+ZnMJPlH5DPLNpYdo1mVuwb0yhdrZGJrVpV4x8TtISxenfe/9DNUSIIqijzkdchP2odcLSs6WsXYYRArLzLCPaBYsSrve+NOJUAdRsgrtNWQNZbreDlN5eHH5M+hURTiH/VXvOoVSKmMFFm+wOuVTc4AjrIViPr7EX8/TgwJ0vAIsyRNRnKH5F8etskl/sJheKqX5YQgMWk4qmkFx6i1T2k9OiA3gSdxf3gv8tMTKnN0oIvtz8ioVNPjTIkAK/I/TAkD32IloP95evafY1E8S0Hz2YrWi2kh1dMNvCvvMrO7hWDQ4TC4h9QXPP8yD1Sl8yt1+/iXFbuhEmLwfFPjn9UcuslscMkrN5h9TCKgEz4KWHaEk/f3fr69WVJClYYJszRr9T2ZkH3wJ2WOIkMLOtQCCL7ymoClGDXJEpo7HnFoF/Z9M+V1A6Kx1Q6RXz9RTPB0imSpY4LvYmQXbSy7TPI81hOYNHNNGTzKmBpQuIl7Sz073LWtsCP+iXS6TRFHoVyOlHiDS4qGwKvDPFMk8WlfCHFLYkYwqZY+inQfsJMt+WmxurkbS15KLXnm/iO9b8tm8MwbVBtab95Qz06POtILPFfwd1aSiilqGxEuNvb4h872LF6PM8No15w+FbZXgHd9HD2TSNuRobYbwOmt7ONZuqbjqLcG2DMFKnLypFrsgU8nEdg7F0Iu16Gqo6XDdgbLo6lRLoLFfUYFxFCKXA1oxFUMDejzlmC32w+12l+xI5VK7Uah9QLN3fPsGRNpTivebZlpdQBx137BrBab6r+Ugrw5GI2rsBSn9W672m5dkFaC8dSE9YodnG+wfYDFerCT7yUwfFNg6LU/Sdx+77zulHoAaRbGYBLH6hJ/vpPAxwyWhOcigcV+PZDKsF+3CrPn6ius2l9HEBc5ahb6ZC7UJe7RJ4dcwqvUUph7Ldi1f/q8V1TpGuNqJ/lUMi/xB1iqK2HN2ZYw7J+y6gkpz0bkN+prRt4U5UczUnmfOo30yG8Sm4Y5PpMRtrsKYVdg1JXEhtaq9T1RWfUO5TD044lfba7K8J+fuLUtv5rVsIVNthjOuyWz60OIBZzymAh4vL0dnUN8slX3viZIbk76LPijwHybv2qnqrpj8ChqogV932q6YgQr8C/W4TIkUzXwypybv8iiihv7EBMimMnFRuswXfyIDDiljrNo9dOB75MTakCvTq173eypDFnUeSf5JY79eUMnXqCmHe1dh/5jxKDtEy3uominIjh51DNF7syJcAwPlGvA5Ba/B33K5THIJHFxgCvuKcrvD4MwYV66wV2vSl1BjDUnzhdgtx2nc5M7HaDliseIyNUU1k/MxRH65ohpwTIV5yex1pn4R5lXGdL490MD1oRAJk32OQa+3Xb7dLLZMQn2WgxWLOpgPZlL64Lio1TXDT3Tbs9C73IGWxp56I/JZY4p31f0KtGZu+eRPjAb5mMx6NCutIFrlfTDLvqEkUxwzRhXpfa43bxera7YuX6SiWns4/+/F9prs/5MqPD169cdU2mEm9zGJiOsarUYiHC/ea2PuovQr/L4n9SVlDQv2cA8XpDFcQ89NE39xuXzPtUEM8JMVTfoLSl9BSlNyheGY4embIaxak9gr9xX9i9WC6Vssb7AIr9iDwXNu84SGb/UBObA131PplJhWYnKoVSnrDjPcQ7Qb/oWqUkSHugTZtQ+lhhmip0uP1Xe92+vlR+piNVh15ptPjWXBuSVGRzafH9x+Ms8w1xswIINL/cBMLCtVtMmzDFJdJ9OHRM63qKmGYJZIV67DX4YkzlkvvxtHxQazMMQKLjbRLNrJMz6CxYZ0QjgrF4M+pT/x/tI7J/DFV4vN9oosaGoZlY16+U9MRKuhR0mr9tMpewDpFhUZ8BpLNS+a8pPRoDAa9JJMyEEyazM0u2ErBrr39qjXVMP66O6mrGvwmye1TpWPgwE8tVpaUbkiaPSBjmJx0OC5cii8cfs0mkD/TXlMArq126OZy0/Oo5hbuRoUmZ88aWGumhO9WK/ItsQ1Yf6iXnrL7LVjLGt29kiXf1JRRTQW9c4y03akDIKI3HVn7x7XsuJRGYC7eCr2oUdtGPETGgZiP/zOpMysydyY7Fv0CvuMBjYcdvwILd3Zj49YSpERcjmoTidDd+3qXMlNk42dtDH10qryIHWz9k6Bm00fwJn5nA34mbmRw6HQy3K97LZfficvJOW+xeBLpOVpfCTDZZj1eMBtp+cop9AM9QY88ZGPL09PfOjTKMignviBcLhZbMgnJOviiVfoU5J1D5b+eaaKL2PYdK17a9LN5aeeca1Gu+R2TXm+pl4J0dL55FSX3djMEs1HLN9/YIxrCObu4DJUaGp8O6oYs8tBrGsF5t5bjEjM3qw8cKVTAVGdSRnTe6bGAKEbGPKMzUcztzsgFSAf8NjNekVGxDPSBqdf2sdfk5lBGY5/s/aK8TwWNCBCoolh1CuKYg1dHXOzHPbqens7RXlZ7X33ksJj5tzdb3xFpXjexWrDI5geOH2XWuqbWfji9t0t1U+l9LteBAr/VPBzmKlR9BGBcv0ZPzN3dOqiLA+DwZLZKxiMKQwwaDAZPRWVL8eiN08mcOxyr2O1X72cDZ9GSOQDViHDp3F6f70Bs+FTzAhH91TNaH+wbVXa5IJRKz+k/Q1zMwJ7sdxxw0VPC2qSYjBgLno6KZelGe74RI5WSfmQpUVLG6hBAz3FZj/6NRUfEAZBK2W78Ga9Int056kowNBr/YKcLBaTNwzybCzzGd1Ktu3CmMQ0j6cWQgWLDeUU3Soa9CtOt5py92o14F/IroO+7CTCHXZXFDsTbNgFJFM2S1Jmj3B1aP2AyldUcn4a5a1LzWBvNys2P77EUOxu/07mqoiwTZbK3BirqRAdwQKF/XpNpgg20UQtb3CtfiByMQWrDhpN5cvFitmEBzzNxVMzJkNMYTsF/gcVHYE6VaZg1hMsfSzbJIoAGZ49oaOitqOPo4Z+TyUiIcCeUMNgyLS6puTlNE8qtoPjveE8KIiyu2i//DUVHi1ii4aDy8/13p3au7biLV9uqRY4mCh3QLFraqZBhdl8wJMnOIz8MM0OcUU1CprTVEV1yZjMprG3VCkTYsGifljw9riuheKpVjFXVMP+SnZM72LQeINdvOVCVrt5v2KTPMAHVm2ZHEQNjgK99M0nRhXv05yyaL/7ZruccS97aHguWBrfUNd/ml6VetCcoax9ahoMGjrF/Y8/oZ2GEwUiHVDth9X6I+WvjiLA+sH231E2ZHW7shgDvqRa/yHMhhQJjWVd3l0e5Pg59GoivFquwaz7DVUlG9BI21ns6u31akn1xQaxRZEx+OWGcjQ82Nt+sh5zynd4SmNLmHIy8fk9lp+nh3QW74Nd94/HwO4w04wjeyGehj/jAh2OGe0+5VzNV/j+67l/uk/DcBgV9zH1bH7hi5mWYGEsonfKJdfrTqNnKRWwwDZp3pA+n2ZcINs7i3DNJztuLTbU04wLjaaSCO5yJe3KXFi3Ymzc/o4H3i5Bq+IATlXrLmdezIJpgvDaath2ueEa5DaYFz1p+P4zsCeOj4d2vXw/RnvpD3m3JNtdoitgM4S7fEsP1KloxqqX/o55RTC71qNXkcauGE9HLKOr0EQ19iXZMjeJxdAHjb3gHJhTtBb6ZNQUmy2CeMKA6Bh4oLZAetTkHSwYhKd3QPpw0QY+VMvtP333mqryaWj6Ce1SoX/e8BMW8z56l0hApdzmiI4zztu1g5MLQLlNHqRiwmTwftfB95SMFYsNp7TghVRU6J9G0m+N3M7yCD5BtEFxQeNDvfCcLdAxeb7azVJVTchlQJ9Rg71abC7ZiG9vLqVB49ekhxvTsrpZe0X133UObVTsnn8h5/d4D2exxo7k/J6amk8G+/It161YjICw04gVc1C5cxEprcnZLXM5qSmL4VWb/e4XjPTOfky+HdCLqqsf4D4RxTRbnv6ZFJwtldIMuUayAXiq6BGi1/36oTxymBvHjc7Bx2/iE0WVomPAyNMc/XZN2ZrwUffiaze3ifLYROS5hWRv8tQ6YeAdIPJXHZ1vz/XDH57ILIcvQKEWrA7oY4yDxiJfd8bFLGzh4uQIUMglE1KNLSDXDLqIAm/ZHlvZ+WCwb6j2MYi615RgGuqVr9hZNAXtmx7Au7eY0/uq8KX37cnDnUvqy1MZerVHTHUNTPLyu3Sw8HYuOc8JncWEN6xxQUbqp24FGvqRirYnkc4uRctXv1GO6SrP8DTOWqO/42Z/IX2p2Ot3csLalEGfYgyGcmxT0FRzsId1wXTlEEUzJJQ5GdJRLpPJUVI9gz3wccu7VuLBkbEZa+jkUdFE1dLrzSlO47MYxPzPdQIPpw4N2qUK+8lnsfc7mGNDKkI99FAM+D2lCbVRXndojgr77IjpJ2qeaxIaGjzZzTTD6dJ6fUQPz/Y+eCLuDkZVy65Xb7igPbpxxQBlSOGXK2qudheV2U2qp0aTNcAOdbQKemqiINQMUYqyiEf1BfTI0x3ftjbZWK6XO8LHPPm7YqFSRadpQ7jw97+xmzb0gmr8PU0bCgYrlmE8obC49TO5fCJz493E1P/HGDw7y9BbbOinlBY/godTSxkOVv5lxrjDGDnBGtSazASOLRrklvN4ySFVmIYhmc2+JHvWNYy01UuvllRdk9yRHpMFf6QGTgtnBMSXNPbmgkttDH7ycbVBwzkdq02tjszKUA0Hysm1m1NizoqsMM5FjDuDvaIEUm7TiFX72TNVwqUgJuaLYY3l4uZ2M6O8w7KKrRR7REumwgRqhjz28mARdLLRYQwHdDnZ+3DKU9+EM5qY4cjJJIpMopjsvifIC4Vi2rndR5WTwcrt5SbeYyJ4yN3AuVLIKPK1i2zX2M3NCQqNC/6AWs+XwB4YO8iKQTb+ww/Y+o3vR9Lw8QGJ3vsfMpz/vCRzXArmmh+QgYkjonIkoUWJBoOC19tPlD2BDk11nwa0sjCY2qGCAcz6Q2L+gpzm2UUgFnOSZacqlJK53Dt5DiIefHWc557rBIpS+4AZC2YL/CA3LxpGqOjg3ls/dZCbt9joTvAip2rQX7N9PKNzKTyCB94FXcIor7dLZuUZTQOx1yIqvUGtb29uKKmBeuSC3H6Np3xBPeEZatVs9wWbfSek6mbdVyPV1dZjpmKNBvzlSFYk4G5Y8Ktr0nZyLWYL3v4+4xuZJlhjXqYm1eoFaXLtGs2cwhkwtoSTg70HlMO85HHq0v7M4czOf/TB261+ebuhcqTBVMlV+9lU7yNhqiRWXuOYWSsaTl6p2rs9WaoN7b2ikYdwVzJ+1xtv5F2qQa7RHnigLGqE1XPNzp/phRfvqbyNgjaZ0K0UePlcnHGwGWWiEEJ3VmjOTEFCukMWqwb/gxU7ohI2s/B6SzleENTOUNAU+IabaD6NzGsWfEmJjoAhE+hFqMDQDPydZvA/pp/Z1xXkKDiPrWhM8u4E82FU0XqOo2g8vVgWesNOVagFHYse0HzGFyZB13jIQYymVjOMGXsSi3fH67mb2OV+8iMo2DuylUOY0jD0Tr8gi7l7yMHS+CU7LACy5SxMLQPrHfZis76hmidP494w1kvjuaTTJntGJ1yNvbyerSZA4dreJ+/CHhdUFyB5QELKBxv+cHyIBJqy9NBhZSrYNTUcaso9dBa7WrKzsGsFL6rd/kHWdJaEaZrPfvTRIoTgpgdeYZeUzyUgQxQ+PA2m7Gq0jBBmFsJpMG8pCk+WFvZXH9huSSZLyGV0oNj/joFsl5TRDyJZ1t7vlzTM2FjN1YNbyYTmuzwjsfXPov2eqpHciGKyflLLpLO7lknQz+5/YDixZxJkiVqccgPtuiblHgx4SxVOT22TWjZYKj/nrm+SIdhJfZPMskivHdi+SfajD3wBA9U4CQ+P+ogQnx2DNjzZOQmGmvqFL2Zslql1kk+GcLFHvncS1J099DA1TxKqntA8KRXz2b6LxOW7J8GXLiT0OZ4+C8RbbDxlGAieBIX+Oz8NJOG07sG8Cz/DikFhil6YmkpUHAa7whWgsK+Op89E0eKEJaBTKdh78ql3pblmtrpejaTDUp4i3K/9lfenBfy0Jh/hHpz5mfNLMhZbwJkGuySz0pro3Zbe77hRAUEsdESfDeXekDWEbspb0Ct/uSbbsIVSs/3s29UllRqL3MWpWyBB7YPSFIcmFtWe1C9k/bQTaWbodRfvf8a5+0TnUvm7FctwjxNjXpzyhJ8FzKzv4U6u/UG19pSHUF7SarDrd1S3YwyWDLiqCnw7VxyMKTm5iLqnYJy2UdFBC2qWwkZKgMuZFT+54xX4NZWEjXc/FyQMaDSXhI3H2xXU+Wv0zxsqWo8ErDK1KnuAD3zf4wStIyW774cBoFwStvCpR3um/BlDsLzFxnCa+1yjv2QdYaILxz3wRLP/Q9a9yyPk7GffUg8fMubRS0JjF4QdBW1ajjnbdTm3YXPoPu4HjeXCBT2NYtWLfrUPHmZe66nHSHMHZFq9veJ85/LqVFguGv6Scp0LNqOtjMberMliypqhwWrWuGD7jCSPYnBzvlQONmbbJLQ40eD3840Do6hGBrW8IAebwzQPZrNX912Un3cziTnZDg735j3V9g/uyeDszWUUiuHxRfPQ2ft9n9PNcjeahnwouqupDvon1ivyIlXvelLrD5wO2kR/bei3pBdePKY0z0Wjulg6ctjmBxgnOmw7TEb0Brsic1dc6ckQjPLaxqnG11ez7PX0KB8LrYdWUuI+djhok9fQFcEQ6R0ZAPMx+WK2urzYbtZcq6EKb00Meww60LnJrYy9Ipdar35B1SRgEkjMpVvueE8lv6AnLDrmaOztjBzAPN3chLc+gzUQ9ffFl3YSa2CSrjyD3QqA5Q3zrGRkzTRZ2aC/W50me1C5HuvhDMtTuoaGMKjfOaVrqCjWGntB9ZJAgwR0BNdYSsXddQ3FYc1jnxpfIo9iMdgT24ZCYGt6UV7MXdvQFNXi3HS/u9xp0cyJgzqw17FuNbxyfkt1pZ5CePJOeksypI5Teghmede9gx5MuOt4l1EHEaQWXlHD+VCkEJ3lL0a7hZ8+TA2DNJZNkh8wmSR2Z/HUhPqpuEId88D3yuxIi+n2XvxO0AsCW7TFaul1c0UQDN3OWk0lWt78QIneNDUfP7hRq5OcCh4FMfX+Rn21JvtIJAgwBdafPRzzOaKpaTTg5yfwDmbciEWKxvgH5VyQ1yI2zH/U+O9Wb9Zkv8WCRtGGZJv35MARjOtEYailGtd2HSOGQsgG/JJSptDkbTKlFJZrJ5CnAWEuGKKttpRfo6DjWoJrYZ9mJ3dNRs+4ku3md7UQA5UklBwSlDTe54T4gi+ZmpRWxM4pZitcdW2GMdtR862xgapekpPvlmflX53QdQTWCsIzKd7x7Anz2bzGnp3H/QFtw0wVBbR/hf5xZK751FMWvm4N/r+3F5RtKA+nq1FYVqF/J8OdHi0Gzcoop2A8kKiD7qUa9M+bNeWBTGiPWptBX95ebMkAgXMAafiME8DLKzJVND6gBvoVQep1KAmuMLXkg1I3zKVe51wseEoL+IKKDURRKfe//E6c33CzGpvQy7t0sP4tJ877lA7n+gHhqPR5NN+roTS7+s36dnNBSbWc2phE4enPEZ+YpARbUeRLbeHBRl6vqNnCcZpjj8dQ4ecyfRr00lwVisvAQJPmXFKyX0wlNcm9DC4Vi91SyT4ozgpQiBV2I7fydrNkBxPKG9r9oH/Ct+T+So/qDnAZ3ePvUuuDG8lXOEyDidT6dzbvgFf4F/IVTqnjGdU8QyXgiSLQUVVPnN5BdUOVdUurz697dNZh8KEEQ/rFhiyMiMEuTCYM9ThVbHnz0VeUcxUpxTn1Jy/XXDegJEquawZ6ik0gZyS6Tgz3bPbvG7a3nBMb/RG8UzIXTJgSeQgRLVM0eEVNIHRywpMNpbDXZIGrQ+P7QWP/+5S6bgQdfe2GaF8urxakaKjRZ2++/g+qW5fH9L9kSX5NuTaCXOaeLMU3ZD4ArM2sqXayUi9SzTn1CRPl2hfkLG1f0YVFf3+Ok0bvPdVfSJ6FlDMui/oR31t5kKv/8f8BWnGpQQ0KZW5kc3RyZWFtCmVuZG9iago5NCAwIG9iago8PAovTGVuZ3RoIDgyCi9TdWJ0eXBlIC9Gb3JtCi9PQyAxMDYgMCBSCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9QaWVjZUluZm8gPDwKL0FEQkVfQ29tcG91bmRUeXBlIDw8Ci9Qcml2YXRlIC9Gb290ZXIKL0xhc3RNb2RpZmllZCAoRDoyMDA2MDgxMDEzMzQyNS0wMycwMCcpCj4+Cj4+Ci9NYXRyaXggWzEuMCAwLjAgMC4wIDEuMCAwLjAgMC4wXQovUmVzb3VyY2VzIDw8Ci9Gb250IDw8Ci9UVDAgMTA3IDAgUgo+PgovUHJvY1NldCBbL1BERiAvVGV4dF0KPj4KL0JCb3ggWy02LjY3MiAtOS42ODAwNSA2LjY3MiAtMC42OTYwNDVdCi9MYXN0TW9kaWZpZWQgKEQ6MjAwNjA4MTAxMzM0MjUtMDMnMDAnKQovRm9ybVR5cGUgMQo+PgpzdHJlYW0NCkiJMlBI5zVQyFTgdQrh1Q8JMVAwVAhJA4qEJCsAiXIgoRBSrGBoAKKrQEJFChZAygBI6prpmZkbKehaKITk8moYmRtohmTxuobwAgQYAOPEEYkNCmVuZHN0cmVhbQplbmRvYmoKOTUgMCBvYmoKPDwKL0YxIDExOSAwIFIKPj4KZW5kb2JqCjk2IDAgb2JqCjw8Ci9UeXBlIC9Bbm5vdAovU3VidHlwZSAvTGluawovQ29udGVudHMgKFZpZXcgcHVibGljYXRpb24gc3RhdHMpCi9DIFsxLjAgMS4wIDEuMF0KL1JlY3QgWzQ3LjAgMy4wIDk1LjAgMTAuMF0KL0EgMTIwIDAgUgovRiA2NAo+PgplbmRvYmoKOTcgMCBvYmoKPDwKL0xlbmd0aCA3NjAKL1R5cGUgL1hPYmplY3QKL1N1YnR5cGUgL0ltYWdlCi9XaWR0aCAzMjAKL0hlaWdodCAzMjAKL0NvbG9yU3BhY2UgL0RldmljZUdyYXkKL0JpdHNQZXJDb21wb25lbnQgOAovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCnic7dYxqlxlGMfh0Zi7AIloKViOla0E3IKLsRDcwwQyi0hnIQSE3NYVOL1ExP7ewiIZjgGtbH/nnDd4n2cH/x+8H9/hAAAAAAAAAAAAAAAAAAAAAADA++p4utwt3V+/nr+anjLg8fPrCvH+9eKz6Tl7e/xqvXrvvP5ietDOnq+ab1l++3h60a6OKx7vP376YHrTnk5r51uW76Y37emyfr83X0+P2tEaH5f/+v3J9Kr9bJBvWV4+nCdwk37L99OzdrNNv7dPp3ftZZt+yx+fTA/byUb9lp8/nF62j636LT9ML9vHZv3efjM9bReb9Vv+/HR62x6267e8ejQ9bgcb9ltefDS9bntb9lt++XJ63uY27be8+fHbz//fH5lt+72/7i/PVjmO6R2Drucb/ZLbHnB6wqyzfsn1qF9y0i+56Jfc6dfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6Nfo1+jX6NfUfvfTA2bd1X6X6QWzLrXfaXrBrFPtd7xOT5h0PdZ+h/P0hknnnO9wczs9Ys7tTe93uDk/0BO+ntfI987xdHlw35j7y7P+9gEAAAAAAAAAAAAAAAAAAAAAsJm/AQQl2ZkNCmVuZHN0cmVhbQplbmRvYmoKOTggMCBvYmoKPDwKL1R5cGUgL0ZvbnQKL0ZvbnREZXNjcmlwdG9yIDEyMSAwIFIKL0Jhc2VGb250IC9Tb3VyY2VTYW5zUHJvLVJlZ3VsYXIKL1N1YnR5cGUgL0NJREZvbnRUeXBlMgovQ0lEVG9HSURNYXAgL0lkZW50aXR5Ci9DSURTeXN0ZW1JbmZvIDw8Ci9SZWdpc3RyeSAoQWRvYmUpCi9PcmRlcmluZyAoSWRlbnRpdHkpCi9TdXBwbGVtZW50IDAKPj4KL1cgWzAgWzM2NS4yMzQzOF0KIDUgWzIwMS42NjAxNl0KIDE3IDE5IDI0OC41MzUxNiAyMCBbMzQ5LjYwOTM4XQogMjEKMzAgNDk2LjU4MjAzIDMxIFsyNDguNTM1MTZdCiAzOCBbNTQzLjk0NTMxIDU4Ny44OTA2MyA1NzAuODAwNzggNjE0Ljc0NjA5IDUyNi44NTU0NyA0OTMuNjUyMzQgMCA2NTEuODU1NDcgMjYyLjY5NTMxIDQ3OS45ODA0NwowIDQ4NS44Mzk4NCA3MjYuNTYyNSA2NDYuOTcyNjYgNjYzLjU3NDIyIDU3NS42ODM1OSAwIDU4MC41NjY0MSA1MzMuNjkxNDEgNTM1LjY0NDUzCjY0NC41MzEyNSA1MTQuNjQ4NDRdCiA3MCBbNTExLjcxODc1IDU1NC42ODc1IDQ1NS41NjY0MSA1NTQuNjg3NSA0OTUuNjA1NDcgMjkxLjk5MjE5IDUwMy45MDYyNSA1NDMuOTQ1MzEgMjQ1LjYwNTQ3IDI0Ni41ODIwMwo0OTQuNjI4OTEgMjU0Ljg4MjgxIDgyOC42MTMyOCA1NDYuODc1IDU0MS45OTIxOSA1NTQuNjg3NSA1NDkuODA0NjkgMzQ2LjY3OTY5IDQxOC45NDUzMSAzMzcuODkwNjMKNTQzLjk0NTMxIDQ2Ni43OTY4OCA3MTcuNzczNDQgNDQ1LjgwMDc4IDQ2Ni43OTY4OF0KIDEwMCBbMjAxLjY2MDE2XQoxMjMgWzI0OC41MzUxNl0KXQovRFcgMAo+PgplbmRvYmoKOTkgMCBvYmoKPDwKL0xlbmd0aCAzMTcKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp4nF1Sy26DMBC8+yt8TA8RGJyXhJASkkgc+lBpP4DYS2qpGMs4B/6+ZjdNpVoCNLM7s+tdkqo+1tYEnrz5QTUQeGes9jAON6+AX+BqLBMZ10aFO8K36lvHkihupjFAX9tuYEXBefIeo2PwE1/s9XCBJ5a8eg3e2CtffFZNxM3NuW/owQaesrLkGrro9Ny6l7YHnqBsWesYN2FaRs1fxsfkgGeIBXWjBg2jaxX41l6BFWk8JS/O8ZQMrP4Xl6S6dOqr9Zi9itlpmqXljIQgVCFaS0R7im0OiA4b9L07bH/9HuVFjmliQ04n8t0RWeEnl0SeiDwTuUMyW5OOiklB5JFIypRbJHPqNacLSGo5p7I5yVcZkpI8V1RvLe4XoJbnGc27fCxA3byPs8eF49DncRsLj3/CDW5Wzc8PeA+h3g0KZW5kc3RyZWFtCmVuZG9iagoxMDAgMCBvYmoKPDwKL1R5cGUgL0ZvbnQKL0ZvbnREZXNjcmlwdG9yIDEyMiAwIFIKL0Jhc2VGb250IC9NYXJ0ZWwtUmVndWxhcgovU3VidHlwZSAvQ0lERm9udFR5cGUyCi9DSURUb0dJRE1hcCAvSWRlbnRpdHkKL0NJRFN5c3RlbUluZm8gPDwKL1JlZ2lzdHJ5IChBZG9iZSkKL09yZGVyaW5nIChJZGVudGl0eSkKL1N1cHBsZW1lbnQgMAo+PgovVyBbMCBbMzY1LjIzNDM4IDAgMCAyMzAuOTU3MDNdCiAxNiBbNjA0Ljk4MDQ3XQogMzYgWzcyOS45ODA0N10KIDQxIFs2MDQuOTgwNDddCiA2OCBbNTU5LjU3MDMxIDAgNTExLjcxODc1IDYyMC42MDU0NyA1NTkuNTcwMzEgNDA5LjY2Nzk3IDU4Ny44OTA2MyAwIDMzMy45ODQzOCAwCjAgMzQwLjgyMDMxIDEwMTEuNzE4NzUgNjgyLjYxNzE5IDYwMS41NjI1IDAgMCA0NTAuNjgzNTkgNTExLjcxODc1IDQyMS44NzUKNjMwLjg1OTM4IDU4MC41NjY0MSAwIDAgNTYyLjk4ODI4XQpdCi9EVyAwCj4+CmVuZG9iagoxMDEgMCBvYmoKPDwKL0xlbmd0aCAyOTEKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp4nF2R22rDMAyG7/0UuuwuSg5NGwohUFIKudiBZXuAxFYyw+IYx73I28+Rsg5msOGz9P+Wpaiqr7XRHqI3N8kGPfTaKIfzdHcSocNBG5GkoLT0G9Epx9aKKIibZfY41qafRFEARO8hOnu3wO6ipg6fRPTqFDptBth9Vk3g5m7tN45oPMSiLEFhH5yeW/vSjggRyfa1CnHtl33Q/GV8LBYhJU64GjkpnG0r0bVmQFHEYZVQ3MIqBRr1L56zquvlV+so+xCy4ziNy5WSmOlKlGZEWcJ0ZjoRZRw7cSyrmM5ER6b8TBVsbx1+X34UGpzI8MLaAzvdiI4pX1ZseORLriBPN192Wj+5DuPRQXl3LjSPJkZdW/ulDT6Gaie7qtb9Az5XlT8NCmVuZHN0cmVhbQplbmRvYmoKMTAyIDAgb2JqCjw8Ci9UeXBlIC9Gb250Ci9Gb250RGVzY3JpcHRvciAxMjMgMCBSCi9CYXNlRm9udCAvU291cmNlU2Fuc1Byby1TZW1pYm9sZAovU3VidHlwZSAvQ0lERm9udFR5cGUyCi9DSURUb0dJRE1hcCAvSWRlbnRpdHkKL0NJRFN5c3RlbUluZm8gPDwKL1JlZ2lzdHJ5IChBZG9iZSkKL09yZGVyaW5nIChJZGVudGl0eSkKL1N1cHBsZW1lbnQgMAo+PgovVyBbMCBbMzY1LjIzNDM4XQogNSBbMjA0LjU4OTg0XQogMTcgWzI3NC45MDIzNF0KIDIxIDMwIDUxMi42OTUzMSAzMQpbMjc0LjkwMjM0XQogNDAgWzU3NS42ODM1OV0KIDUzIFs1OTEuNzk2ODggMCAwIDU0NC45MjE4OF0KIDcwIFs1MjIuOTQ5MjIgNTYzLjk2NDg0IDQ2MS45MTQwNiA1NjMuOTY0ODQgNTA2LjgzNTk0IDMxNi44OTQ1MyA1MTkuNTMxMjUgNTU3LjYxNzE5IDI2MS43MTg3NSAyNjIuNjk1MzEKNTIxLjk3MjY2IDI3MC45OTYwOSA4NDIuNzczNDQgNTU5LjU3MDMxIDU0OC44MjgxMyA1NjMuOTY0ODQgMCAzNzIuNTU4NTkgNDMwLjY2NDA2IDM2MC44Mzk4NAo1NTUuNjY0MDYgMCA3NDcuNTU4NTldCl0KL0RXIDAKPj4KZW5kb2JqCjEwMyAwIG9iago8PAovTGVuZ3RoIDI5NAovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCnicXVFNa4QwEL3nV8xxe1g0umoLImwtCx76QW1/gCbjNlBjiPHgv2/M2C00oPLmvTcvzkR189Ro5SB6s5No0cGgtLQ4T4sVCD1elWY8AamE21F4i7EzLPLmdp0djo0eJlaWANG7Z2dnVzic5dTjHYterUSr9BUOn3XrcbsY840jagcxqyqQOPhOz5156UaEKNiOjfS8cuvRe/4UH6tBSALmdBsxSZxNJ9B2+oqsjP2poLz4UzHU8h+fk6sfxFdngzrz6jhO4mpDnBOqA0ruAzqlAaWkzEiZEpcRl9UBFUXI3LuffrNuV+PUgj+ET7pnPlLxQsU8FE85tSdDzimloOKZwpI9jNpv/7rt5DZIsVjrZxgWF4a3jU1pvO3WTGZzbc8PK9qWfg0KZW5kc3RyZWFtCmVuZG9iagoxMDQgMCBvYmoKPDwKL0xlbmd0aCAzMzYKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQpIibRSW5VCQQyrBSxgoRawgIVYuBawEAtYwEIsYAEL2WQ8bP96pk3zmJnUzmCGM5pxu91ZzHJWs+4jdoABBxq4s9whhhxq6K5qRxhxpJGDNN4xxhxr7AIXOlhZzrR7p4Vd7mrXPZsOWHChhcsij8SSSy1dUpkVVlxp5XDM6hprrrV2KVdDSIdlaLkKeinQwcqyK6h9ioAAV1/OpiNBga7csMijCAly1IdUZmHCgl0zala2Y0f0u95UUsBCOixdq3o42IEOlutcn9OnRLpGRl/OppMox9fIDYs80qJdm5sKOlujXdfrHbpaO9wQqhBFKmk3k/JAgQvtRtRp9E7LSSxGRl/OppPt8xt88vZJ1Cczn1R8fPdx1sc7H3d89Pso9NHgw9KHh88lHyyfaZ/+drvd7/fH4/F8Pq/rer1e7/f78/l8v9/f7+d/q78BABBxq2MNCmVuZHN0cmVhbQplbmRvYmoKMTA1IDAgb2JqCjw8Ci9Gb250IDw8Ci9GNi4wIDEyNCAwIFIKL0YzLjAgMTI1IDAgUgovRjcuMCAxMjYgMCBSCi9GNC4wIDEyNyAwIFIKL0Y0LjEgMTI4IDAgUgovRjEuMCAxMjkgMCBSCi9GNS4wIDEzMCAwIFIKL0YyLjAgMTMxIDAgUgo+PgovUHJvY1NldCBbL1BERiAvVGV4dF0KPj4KZW5kb2JqCjEwNiAwIG9iago8PAovT0NHcyA0IDAgUgovVHlwZSAvT0NNRAo+PgplbmRvYmoKMTA3IDAgb2JqCjw8Ci9TdWJ0eXBlIC9UcnVlVHlwZQovRm9udERlc2NyaXB0b3IgMTMyIDAgUgovTGFzdENoYXIgMjU1Ci9XaWR0aHMgWzI3OCAyNzggMzU1IDU1NiA1NTYgODg5IDY2NyAxOTEgMzMzIDMzMwozODkgNTg0IDI3OCAzMzMgMjc4IDI3OCA1NTYgNTU2IDU1NiA1NTYKNTU2IDU1NiA1NTYgNTU2IDU1NiA1NTYgMjc4IDI3OCA1ODQgNTg0CjU4NCA1NTYgMTAxNSA2NjcgNjY3IDcyMiA3MjIgNjY3IDYxMSA3NzgKNzIyIDI3OCA1MDAgNjY3IDU1NiA4MzMgNzIyIDc3OCA2NjcgNzc4CjcyMiA2NjcgNjExIDcyMiA2NjcgOTQ0IDY2NyA2NjcgNjExIDI3OAoyNzggMjc4IDQ2OSA1NTYgMzMzIDU1NiA1NTYgNTAwIDU1NiA1NTYKMjc4IDU1NiA1NTYgMjIyIDIyMiA1MDAgMjIyIDgzMyA1NTYgNTU2CjU1NiA1NTYgMzMzIDUwMCAyNzggNTU2IDUwMCA3MjIgNTAwIDUwMAo1MDAgMzM0IDI2MCAzMzQgNTg0IDAgNjY3IDY2NyA3MjIgNjY3CjcyMiA3NzggNzIyIDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IDUwMAo1NTYgNTU2IDU1NiA1NTYgMjc4IDI3OCAyNzggMjc4IDU1NiA1NTYKNTU2IDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IDU1NiA1NTYgNDAwCjU1NiA1NTYgNTU2IDM1MCA1MzcgNjExIDczNyA3MzcgMTAwMCAzMzMKMzMzIDAgMTAwMCA3NzggMCA1NDkgMCAwIDU1NiA1NzYKMCAwIDAgMCAwIDM3MCAzNjUgMCA4ODkgNjExCjYxMSAzMzMgNTg0IDAgNTU2IDAgMCA1NTYgNTU2IDEwMDAKMCA2NjcgNjY3IDc3OCAxMDAwIDk0NCA1NTYgMTAwMCAzMzMgMzMzCjIyMiAyMjIgNTQ5IDAgNTAwIDY2NyAxNjcgNTU2IDMzMyAzMzMKNTAwIDUwMCA1NTYgMjc4IDIyMiAzMzMgMTAwMCA2NjcgNjY3IDY2Nwo2NjcgNjY3IDI3OCAyNzggMjc4IDI3OCA3NzggNzc4IDAgNzc4CjcyMiA3MjIgNzIyIDI3OCAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMwozMzMgMzMzIDMzMyAzMzNdCi9CYXNlRm9udCAvQXJpYWwKL0ZpcnN0Q2hhciAzMgovRW5jb2RpbmcgL01hY1JvbWFuRW5jb2RpbmcKL1R5cGUgL0ZvbnQKPj4KZW5kb2JqCjEwOCAwIG9iago8PAovRm9udCA8PAovRjMuMCAxMjUgMCBSCi9GNC4wIDEyNyAwIFIKL0Y0LjEgMTI4IDAgUgovRjUuMCAxMzAgMCBSCj4+Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQo+PgplbmRvYmoKMTA5IDAgb2JqCjw8Ci9Gb250IDw8Ci9GMy4wIDEyNSAwIFIKL0Y0LjAgMTI3IDAgUgovRjQuMSAxMjggMCBSCi9GOC4wIDEzMyAwIFIKL0Y1LjAgMTMwIDAgUgovRjUuMSAxMzQgMCBSCj4+Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQo+PgplbmRvYmoKMTEwIDAgb2JqCjw8Ci9Gb250IDw8Ci9GOS4wIDEzNSAwIFIKL0YzLjAgMTI1IDAgUgovRjEwLjAgMTM2IDAgUgovRjQuMCAxMjcgMCBSCi9GNC4xIDEyOCAwIFIKPj4KL1Byb2NTZXQgWy9QREYgL1RleHRdCj4+CmVuZG9iagoxMTEgMCBvYmoKPDwKL0ZvbnQgPDwKL0Y2LjAgMTI0IDAgUgovRjEzLjAgMTM3IDAgUgovRjMuMCAxMjUgMCBSCi9GNC4wIDEyNyAwIFIKL0Y0LjEgMTI4IDAgUgovRjExLjAgMTM4IDAgUgovRjguMCAxMzMgMCBSCi9GNS4wIDEzMCAwIFIKL0Y1LjEgMTM0IDAgUgovRjEyLjAgMTM5IDAgUgovRjEyLjEgMTQwIDAgUgo+PgovUHJvY1NldCBbL1BERiAvVGV4dF0KPj4KZW5kb2JqCjExMiAwIG9iago8PAovRm9udCA8PAovRjkuMCAxMzUgMCBSCi9GNi4wIDEyNCAwIFIKL0YxMC4wIDEzNiAwIFIKL0Y0LjAgMTI3IDAgUgovRjQuMSAxMjggMCBSCi9GMTEuMCAxMzggMCBSCi9GOC4wIDEzMyAwIFIKL0Y1LjAgMTMwIDAgUgovRjUuMSAxMzQgMCBSCi9GMTIuMCAxMzkgMCBSCi9GMTIuMSAxNDAgMCBSCj4+Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQo+PgplbmRvYmoKMTEzIDAgb2JqCjw8Ci9Gb250IDw8Ci9GNi4wIDEyNCAwIFIKL0Y0LjAgMTI3IDAgUgovRjQuMSAxMjggMCBSCi9GMTEuMCAxMzggMCBSCi9GOC4wIDEzMyAwIFIKL0Y4LjEgMTQxIDAgUgovRjUuMCAxMzAgMCBSCi9GNS4xIDEzNCAwIFIKL0YxMi4wIDEzOSAwIFIKL0YxMi4xIDE0MCAwIFIKPj4KL1Byb2NTZXQgWy9QREYgL1RleHRdCj4+CmVuZG9iagoxMTQgMCBvYmoKPDwKL0ZvbnQgPDwKL0Y5LjAgMTM1IDAgUgovRjYuMCAxMjQgMCBSCi9GMy4wIDEyNSAwIFIKL0YxMC4wIDEzNiAwIFIKL0Y0LjAgMTI3IDAgUgovRjQuMSAxMjggMCBSCi9GOC4wIDEzMyAwIFIKL0Y4LjEgMTQxIDAgUgovRjUuMCAxMzAgMCBSCi9GNS4xIDEzNCAwIFIKL0YxMi4wIDEzOSAwIFIKL0YxMi4xIDE0MCAwIFIKPj4KL1Byb2NTZXQgWy9QREYgL1RleHRdCj4+CmVuZG9iagoxMTUgMCBvYmoKPDwKL0ZvbnQgPDwKL0Y2LjAgMTI0IDAgUgovRjMuMCAxMjUgMCBSCi9GMTAuMCAxMzYgMCBSCi9GNC4wIDEyNyAwIFIKL0Y0LjEgMTI4IDAgUgovRjguMCAxMzMgMCBSCi9GOC4xIDE0MSAwIFIKL0Y1LjAgMTMwIDAgUgovRjUuMSAxMzQgMCBSCi9GMTIuMCAxMzkgMCBSCi9GMTIuMSAxNDAgMCBSCj4+Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQo+PgplbmRvYmoKMTE2IDAgb2JqCjw8Ci9YT2JqZWN0IDw8Ci9JbTEgMTQyIDAgUgo+PgovRm9udCA8PAovRjYuMCAxMjQgMCBSCi9GMTMuMCAxMzcgMCBSCi9GMy4wIDEyNSAwIFIKL0Y0LjAgMTI3IDAgUgovRjQuMSAxMjggMCBSCi9GOC4wIDEzMyAwIFIKL0Y4LjEgMTQxIDAgUgovRjUuMCAxMzAgMCBSCi9GNS4xIDEzNCAwIFIKL0YxMi4wIDEzOSAwIFIKL0YxMi4xIDE0MCAwIFIKPj4KL1Byb2NTZXQgWy9QREYgL1RleHQgL0ltYWdlQiAvSW1hZ2VDIC9JbWFnZUldCj4+CmVuZG9iagoxMTcgMCBvYmoKPDwKL0ZvbnQgPDwKL0Y2LjAgMTI0IDAgUgovRjMuMCAxMjUgMCBSCi9GNC4wIDEyNyAwIFIKL0Y0LjEgMTI4IDAgUgovRjguMCAxMzMgMCBSCi9GOC4xIDE0MSAwIFIKL0Y1LjAgMTMwIDAgUgovRjUuMSAxMzQgMCBSCi9GMTIuMCAxMzkgMCBSCi9GMTIuMSAxNDAgMCBSCj4+Ci9Qcm9jU2V0IFsvUERGIC9UZXh0XQo+PgplbmRvYmoKMTE4IDAgb2JqCjw8Ci9Gb250IDw8Ci9GMy4wIDEyNSAwIFIKL0Y0LjAgMTI3IDAgUgovRjQuMSAxMjggMCBSCi9GNS4wIDEzMCAwIFIKL0Y1LjEgMTM0IDAgUgo+PgovUHJvY1NldCBbL1BERiAvVGV4dF0KPj4KZW5kb2JqCjExOSAwIG9iago8PAovVHlwZSAvRm9udAovU3VidHlwZSAvVHlwZTEKL0Jhc2VGb250IC9IZWx2ZXRpY2EKL0VuY29kaW5nIC9XaW5BbnNpRW5jb2RpbmcKPj4KZW5kb2JqCjEyMCAwIG9iago8PAovUyAvVVJJCi9VUkkgKGh0dHBzOi8vd3d3LnJlc2VhcmNoZ2F0ZS5uZXQvcHVibGljYXRpb24vMjIxNTUwNTA2KQo+PgplbmRvYmoKMTIxIDAgb2JqCjw8Ci9UeXBlIC9Gb250RGVzY3JpcHRvcgovRm9udE5hbWUgL1NvdXJjZVNhbnNQcm8tUmVndWxhcgovRmxhZ3MgNAovQXNjZW50IDk1Mi4xNDg0NAovRGVzY2VudCAtMzgzLjc4OTA2Ci9TdGVtViA1My4yMjI2NTYKL0NhcEhlaWdodCA2NTUuNzYxNzIKL0l0YWxpY0FuZ2xlIDAKL0ZvbnRCQm94IFstNDAuMDM5MDYzIC0yNTAgODgzLjMwMDc4IDg3NV0KL0ZvbnRGaWxlMiAxNDMgMCBSCj4+CmVuZG9iagoxMjIgMCBvYmoKPDwKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9Gb250TmFtZSAvTWFydGVsLVJlZ3VsYXIKL0ZsYWdzIDQKL0FzY2VudCAxMDQ5LjgwNDY5Ci9EZXNjZW50IC01NjEuNTIzNDQKL1N0ZW1WIDc2LjE3MTg3NQovQ2FwSGVpZ2h0IDM3MC4xMTcxOQovSXRhbGljQW5nbGUgMAovRm9udEJCb3ggWy00MS45OTIxODggLTI1OC43ODkwNiAxMTg4Ljk2NDg0IDkzNy45ODgyOF0KL0ZvbnRGaWxlMiAxNDQgMCBSCj4+CmVuZG9iagoxMjMgMCBvYmoKPDwKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9Gb250TmFtZSAvU291cmNlU2Fuc1Byby1TZW1pYm9sZAovRmxhZ3MgNAovQXNjZW50IDk2Mi44OTA2MwovRGVzY2VudCAtMzcyLjU1ODU5Ci9TdGVtViA2MS4wMzUxNTYKL0NhcEhlaWdodCAzMjIuMjY1NjMKL0l0YWxpY0FuZ2xlIDAKL0ZvbnRCQm94IFstNDUuODk4NDM4IC0yNTAgODk5LjkwMjM0IDg4My43ODkwNl0KL0ZvbnRGaWxlMiAxNDUgMCBSCj4+CmVuZG9iagoxMjQgMCBvYmoKPDwKL1N1YnR5cGUgL1R5cGUxCi9Gb250RGVzY3JpcHRvciAxNDYgMCBSCi9MYXN0Q2hhciAyMjIKL1dpZHRocyBbNDYwIDQ2MCAzOTQgMzk0IDM5NCAzOTQgMzI5IDU5MiAzOTQgNTkyCjU5MiA1OTIgNTkyIDU5MiA1OTIgNTkyIDU5MiAzOTQgMzI5IDM5NAozOTQgMzk0IDM5NCAzOTQgMzk0IDg5MyAzOTQgODU1IDkwNyA3NzcKNzQ0IDM5NCAzOTQgNDQ2IDM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0CjgwOCAzOTQgODg3IDY1NyA4MjMgMzk0IDM5NCAzOTQgMzk0IDM5NAozOTQgMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQgNTc1IDY1NyA1MjYKNjU3IDU0MyAzNjIgNTkyIDY1NyAzMjkgMzk0IDYyNSAzMjkgOTg2CjY1NyA1OTIgNjU3IDM5NCA0ODggNDY3IDQ2MCA2NTcgNjI1IDg1NQo2MjUgNjI1IDM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQKMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0CjM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0IDM5NAozOTQgMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQKMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0CjM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0IDM5NAozOTQgMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQKMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0CjM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0IDM5NAozOTQgMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQgMzk0IDM5NCAzOTQKMzk0IDM5NCA2NTddCi9CYXNlRm9udCAvTFdBVFlNK0NNQlg5Ci9GaXJzdENoYXIgNDAKL0VuY29kaW5nIC9NYWNSb21hbkVuY29kaW5nCi9UeXBlIC9Gb250Cj4+CmVuZG9iagoxMjUgMCBvYmoKPDwKL1N1YnR5cGUgL1R5cGUxCi9Gb250RGVzY3JpcHRvciAxNDcgMCBSCi9MYXN0Q2hhciAxMjIKL1dpZHRocyBbMzMzIDMzMyAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCA1MDAgNTAwCjUwMCA1MDAgNTAwIDUwMCA1MDAgNTAwIDUwMCA1MDAgMzMzIDI1MAoyNTAgMjUwIDI1MCA1MDAgMjUwIDcyMiA2NjcgNzIyIDcyMiA2NjcKNjExIDc3OCA3NzggMzg5IDI1MCA3NzggNjY3IDk0NCA3MjIgNzc4CjYxMSA3NzggNzIyIDU1NiA2NjcgNzIyIDcyMiAxMDAwIDcyMiA3MjIKMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDUwMCA1NTYgNDQ0CjU1NiA0NDQgMzMzIDUwMCA1NTYgMjc4IDMzMyAyNTAgMjc4IDgzMwo1NTYgNTAwIDU1NiAyNTAgNDQ0IDM4OSAzMzMgNTU2IDUwMCA3MjIKMjUwIDUwMCA0NDRdCi9CYXNlRm9udCAvWFFXR09OK05pbWJ1c1JvbU5vOUwtTWVkaQovRmlyc3RDaGFyIDQwCi9FbmNvZGluZyAvTWFjUm9tYW5FbmNvZGluZwovVHlwZSAvRm9udAo+PgplbmRvYmoKMTI2IDAgb2JqCjw8Ci9TdWJ0eXBlIC9UeXBlMQovRm9udERlc2NyaXB0b3IgMTQ4IDAgUgovTGFzdENoYXIgMjIyCi9XaWR0aHMgWzI1MCAzMzMgMjUwIDI3OCA1MDAgNTAwIDUwMCA1MDAgNTAwIDUwMAo1MDAgMjUwIDI1MCA1MDAgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAKMjUwIDcyMiAyNTAgNjY3IDI1MCA2MTEgNTU2IDI1MCAyNTAgMzMzCjI1MCAyNTAgMjUwIDg4OSAyNTAgMjUwIDU1NiAyNTAgMjUwIDI1MAo2MTEgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAKMjUwIDI1MCAyNTAgNDQ0IDUwMCA0NDQgNTAwIDQ0NCAzMzMgNTAwCjUwMCAyNzggMjUwIDUwMCAyNzggNzc4IDUwMCA1MDAgNTAwIDUwMAozMzMgMzg5IDI3OCA1MDAgNTAwIDcyMiAyNTAgNTAwIDI1MCAyNTAKMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwCjI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MAoyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAKMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwCjI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MAoyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAKMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwCjI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MAoyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCAzMzMKMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCA1NTZdCi9CYXNlRm9udCAvSFVLTk1RK05pbWJ1c1JvbU5vOUwtUmVndQovRmlyc3RDaGFyIDQ0Ci9FbmNvZGluZyAvTWFjUm9tYW5FbmNvZGluZwovVHlwZSAvRm9udAo+PgplbmRvYmoKMTI3IDAgb2JqCjw8Ci9TdWJ0eXBlIC9UeXBlMQovRm9udERlc2NyaXB0b3IgMTQ5IDAgUgovTGFzdENoYXIgMjIzCi9XaWR0aHMgWzg1NiAzNDMgMzQzIDc5OSAzNDMgNDAwIDQwMCAzNDMgNzk5IDI4NQozNDMgMjg1IDUxNCA1MTQgNTE0IDUxNCA1MTQgNTE0IDUxNCA1MTQKNTE0IDUxNCA1MTQgMjg1IDI4NSAzNDMgNzk5IDM0MyA0ODUgMzQzCjc3MSA3MjggNzQyIDc4NSA2OTkgNjcxIDgwNiA3NzEgMzcxIDUyOAo3OTkgNjQyIDk0MiA3NzEgNzk5IDY5OSA3OTkgNzU2IDU3MSA3NDIKNzcxIDM0MyAxMDU2IDc3MSA3NzEgNjI4IDI4NSAzNDMgMjg1IDM0MwozNDMgMzQzIDUxNCA1NzEgNDU3IDU3MSA0NTcgMzE0IDUxNCA1NzEKMjg1IDMxNCA1NDIgMjg1IDg1NiA1NzEgNTE0IDU3MSA1NDIgNDAyCjQwNSA0MDAgNTcxIDU0MiA3NDIgNTQyIDU0MiA0NTcgMzQzIDM0MwozNDMgMzQzIDM0MyAzNDMgMzQzIDM0MyAzNDMgMzQzIDM0MyAzNDMKMzQzIDM0MyAzNDMgMzQzIDM0MyAzNDMgMzQzIDM0MyAzNDMgMzQzCjM0MyAzNDMgMzQzIDM0MyAzNDMgMzQzIDM0MyAzNDMgMzQzIDM0MwozNDMgMzQzIDM0MyAzNDMgMzQzIDM0MyAzNDMgMzQzIDM0MyAzNDMKMzQzIDM0MyAzNDMgMzQzIDM0MyAzNDMgMzQzIDM0MyAzNDMgMzQzCjM0MyAzNDMgMzQzIDM0MyAzNDMgMzQzIDM0MyAzNDMgMzQzIDM0MwozNDMgMzQzIDM0MyAzNDMgMzQzIDM0MyAzNDMgMzQzIDM0MyAzNDMKMzQzIDM0MyAzNDMgMzQzIDM0MyAzNDMgMzQzIDM0MyAzNDMgMzQzCjM0MyAzNDMgMzQzIDUxNCAxMDI4IDUxNCA1MTQgMzQzIDI4NSAzNDMKMzQzIDM0MyAzNDMgMzQzIDM0MyAzNDMgMzQzIDU3MSA1NzFdCi9CYXNlRm9udCAvSlJSVlhOK0NNUjkKL0ZpcnN0Q2hhciAzNQovRW5jb2RpbmcgL01hY1JvbWFuRW5jb2RpbmcKL1R5cGUgL0ZvbnQKPj4KZW5kb2JqCjEyOCAwIG9iago8PAovU3VidHlwZSAvVHlwZTEKL0ZvbnREZXNjcmlwdG9yIDE0OSAwIFIKL0xhc3RDaGFyIDM0Ci9XaWR0aHMgWzg1NiA2MDBdCi9CYXNlRm9udCAvSlJSVlhOK0NNUjkKL0ZpcnN0Q2hhciAzMwovVG9Vbmljb2RlIDE1MCAwIFIKL0VuY29kaW5nIDE1MSAwIFIKL1R5cGUgL0ZvbnQKPj4KZW5kb2JqCjEyOSAwIG9iago8PAovU3VidHlwZSAvVHlwZTEKL0ZvbnREZXNjcmlwdG9yIDE1MiAwIFIKL0xhc3RDaGFyIDIwOAovV2lkdGhzIFs3MjIgMjc4IDI3OCAyNzggMjc4IDYxMSAyNzggMjc4IDI3OCAyNzgKMjc4IDI3OCAyNzggMjc4IDc3OCAyNzggMjc4IDI3OCA2NjcgNjExCjI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OAoyNzggMjc4IDU1NiAyNzggNTU2IDYxMSA1NTYgMzMzIDYxMSAyNzgKMjc4IDI3OCAyNzggMjc4IDg4OSA2MTEgNjExIDI3OCAyNzggMzg5CjU1NiAzMzMgNjExIDU1NiAyNzggMjc4IDU1NiAyNzggMjc4IDI3OAoyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzgKMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4CjI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OAoyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzgKMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4CjI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OAoyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzgKMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4CjI3OCAyNzggMjc4IDU1Nl0KL0Jhc2VGb250IC9ITUdaQ0QrTmltYnVzU2FuTC1Cb2xkCi9GaXJzdENoYXIgNjUKL0VuY29kaW5nIC9NYWNSb21hbkVuY29kaW5nCi9UeXBlIC9Gb250Cj4+CmVuZG9iagoxMzAgMCBvYmoKPDwKL1N1YnR5cGUgL1R5cGUxCi9Gb250RGVzY3JpcHRvciAxNTMgMCBSCi9MYXN0Q2hhciAyMjMKL1dpZHRocyBbNDIwIDQyMCAzNjcgMzY3IDMxNSAzNjcgMzE1IDUyNSA1MjUgNTI1CjUyNSA1MjUgNTI1IDUyNSA1MjUgMzY3IDM2NyA1MjUgMzE1IDMxNQozNjcgMzY3IDM2NyAzNjcgMzY3IDc2MyA3MjMgNzM1IDc3NSA2OTYKNjcwIDM2NyA3NjMgMzk2IDUzOSA3ODkgMzY3IDkyMCA3NjMgNzg3CjY5NiAzNjcgNzQ5IDU3NyA3MzUgMzY3IDM2NyAxMDI1IDc2MyAzNjcKMzY3IDM2NyAzNjcgMzY3IDM2NyAzNjcgMzY3IDUyNSA0NzIgNDcyCjUyNSA0NzIgMzE1IDQ3MiA1MjUgMzE1IDM2NyA0NzIgMjYyIDg0MAo1NzcgNTI1IDUyNSA0NzIgNDMzIDQyMCAzNDEgNTUxIDQ3MiA2ODIKNDc0IDQ5OCA0MjAgMzY3IDM2NyAzNjcgMzY3IDM2NyAzNjcgMzY3CjM2NyAzNjcgMzY3IDM2NyAzNjcgMzY3IDM2NyAzNjcgMzY3IDM2NwozNjcgMzY3IDM2NyAzNjcgMzY3IDM2NyAzNjcgMzY3IDM2NyAzNjcKMzY3IDM2NyAzNjcgMzY3IDM2NyAzNjcgMzY3IDM2NyAzNjcgMzY3CjM2NyAzNjcgMzY3IDM2NyAzNjcgMzY3IDM2NyAzNjcgMzY3IDM2NwozNjcgMzY3IDM2NyAzNjcgMzY3IDM2NyAzNjcgMzY3IDM2NyAzNjcKMzY3IDM2NyAzNjcgMzY3IDM2NyAzNjcgMzY3IDM2NyAzNjcgMzY3CjM2NyAzNjcgMzY3IDM2NyAzNjcgMzY3IDM2NyAzNjcgMzY3IDM2NwozNjcgMzY3IDM2NyAzNjcgMzY3IDM2NyAzNjcgMzY3IDM2NyAzNjcKMzY3IDM2NyAzNjcgMzE1IDM2NyAzNjcgMzY3IDM2NyAzNjcgMzY3CjM2NyAzNjcgNTc3IDYwM10KL0Jhc2VGb250IC9WWkNGUEorQ01USTkKL0ZpcnN0Q2hhciA0MAovRW5jb2RpbmcgL01hY1JvbWFuRW5jb2RpbmcKL1R5cGUgL0ZvbnQKPj4KZW5kb2JqCjEzMSAwIG9iago8PAovU3VidHlwZSAvVHlwZTEKL0ZvbnREZXNjcmlwdG9yIDE1NCAwIFIKL0xhc3RDaGFyIDIxMwovV2lkdGhzIFsyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggNTU2IDI3OCA1NTYKMjc4IDI3OCA1NTYgMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4CjEwMTUgMjc4IDI3OCA3MjIgMjc4IDY2NyA2MTEgNzc4IDcyMiAyNzgKNTAwIDY2NyA1NTYgODMzIDcyMiA3NzggMjc4IDI3OCA3MjIgNjY3CjYxMSA3MjIgMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OAoyNzggMjc4IDI3OCA1NTYgNTU2IDUwMCA1NTYgNTU2IDI3OCA1NTYKMjc4IDIyMiAyMjIgNTAwIDIyMiA4MzMgNTU2IDU1NiA1NTYgMjc4CjMzMyA1MDAgMjc4IDU1NiA1MDAgNzIyIDUwMCA1MDAgMjc4IDI3OAoyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzgKMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4CjI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OAoyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzgKMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4CjI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OAoyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzgKMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4CjI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDI3OCAyNzggMjc4IDIyMV0KL0Jhc2VGb250IC9GQklDUk4rTmltYnVzU2FuTC1SZWd1Ci9GaXJzdENoYXIgNDQKL0VuY29kaW5nIC9NYWNSb21hbkVuY29kaW5nCi9UeXBlIC9Gb250Cj4+CmVuZG9iagoxMzIgMCBvYmoKPDwKL1N0ZW1WIDg4Ci9Gb250TmFtZSAvQXJpYWwKL0ZvbnRGaWxlMiAxNTUgMCBSCi9Gb250U3RyZXRjaCAvTm9ybWFsCi9Gb250V2VpZ2h0IDQwMAovRmxhZ3MgMzIKL0Rlc2NlbnQgLTIxMAovRm9udEJCb3ggWy0yMjIgLTIxMCAxMDAwIDkxM10KL0FzY2VudCA5MTMKL0ZvbnRGYW1pbHkgKEFyaWFsKQovQ2FwSGVpZ2h0IDcxNgovWEhlaWdodCA1MTkKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9JdGFsaWNBbmdsZSAwCj4+CmVuZG9iagoxMzMgMCBvYmoKPDwKL1N1YnR5cGUgL1R5cGUxCi9Gb250RGVzY3JpcHRvciAxNTYgMCBSCi9MYXN0Q2hhciAxMjIKL1dpZHRocyBbMjg1IDMzMyAyODUgNTE0IDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzCjMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMwozMzMgNzcxIDc3OCAzMzMgMzMzIDc1NiA2NTYgODA1IDMzMyA0NDkKNTY2IDMzMyAzMzMgMzMzIDMzMyA3ODIgNjU2IDgxMSAzMzMgNjI4CjYwMCA2OTkgMzMzIDk3MSAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMwozMzMgMzMzIDMzMyA1NDQgNDQwIDQ0NSA1MzMgNDc4IDQ5OSA0OTAKNTkyIDM1MiAzMzMgNTM1IDMwNyA5MDUgNjIwIDQ5OCA1MTYgNDU5CjQ2NCA0NzkgMzcxIDU5MSA0OTkgMzMzIDU4MyA1MDYgNDc4XQovQmFzZUZvbnQgL05MSkdHTytDTU1JOQovRmlyc3RDaGFyIDQ0Ci9FbmNvZGluZyAvTWFjUm9tYW5FbmNvZGluZwovVHlwZSAvRm9udAo+PgplbmRvYmoKMTM0IDAgb2JqCjw8Ci9TdWJ0eXBlIC9UeXBlMQovRm9udERlc2NyaXB0b3IgMTUzIDAgUgovTGFzdENoYXIgMzMKL1dpZHRocyBbNjMwXQovQmFzZUZvbnQgL1ZaQ0ZQSitDTVRJOQovRmlyc3RDaGFyIDMzCi9Ub1VuaWNvZGUgMTU3IDAgUgovRW5jb2RpbmcgMTU4IDAgUgovVHlwZSAvRm9udAo+PgplbmRvYmoKMTM1IDAgb2JqCjw8Ci9TdWJ0eXBlIC9UeXBlMQovRm9udERlc2NyaXB0b3IgMTU5IDAgUgovTGFzdENoYXIgMTIxCi9XaWR0aHMgWzI1MCAyNTAgMjUwIDUwMCA1MDAgMjUwIDI1MCAyNTAgMjUwIDUwMAoyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAKNjExIDI1MCAyNTAgMjUwIDYxMSAyNTAgMjUwIDI1MCAyNTAgMjUwCjI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCA1MDAgNTU2IDI1MAoyNTAgODMzIDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCAyNTAKMjUwIDUwMCA1MDAgNDQ0IDUwMCA0NDQgMjc4IDI1MCAyNTAgMjc4CjI1MCAyNTAgMjc4IDcyMiA1MDAgNTAwIDUwMCAyNTAgMzg5IDM4OQoyNzggNTAwIDQ0NCAyNTAgMjUwIDQ0NF0KL0Jhc2VGb250IC9GUFRWQ0QrTmltYnVzUm9tTm85TC1SZWd1SXRhbAovRmlyc3RDaGFyIDQ2Ci9FbmNvZGluZyAvTWFjUm9tYW5FbmNvZGluZwovVHlwZSAvRm9udAo+PgplbmRvYmoKMTM2IDAgb2JqCjw8Ci9TdWJ0eXBlIC9UeXBlMQovRm9udERlc2NyaXB0b3IgMTYwIDAgUgovTGFzdENoYXIgMTIxCi9XaWR0aHMgWzQxNCA0MTQgNDE0IDQxNCA0MTQgNDE0IDQxNCA0MTQgNDE0IDQxNAo0MTQgNDE0IDQxNCA0MTQgNDE0IDQxNCA0MTQgNDE0IDQxNCA0MTQKNDE0IDQxNCA0MTQgNDE0IDc1NyA3MjcgNDE0IDQxNCA0MTQgNDE0CjQxNCA0MTQgNDE0IDQxNCA0MTQgNDE0IDQxNCA0MTQgNDE0IDQxNAo0MTQgNDE0IDQxNCA0MTQgNDE0IDQxNCA0MTQgNDE0IDQxNCA0MTQKNDE0IDQxNCA1OTEgNTMyIDUzMiA1OTEgNTMyIDQwMCA0MTQgNDE0CjM1NiA0MTQgNTMyIDI5NyA5NDQgNjUwIDU5MSA1OTEgNDE0IDUwMgo0ODcgMzg1IDYyMSA1MzIgNzY4IDQxNCA1NjJdCi9CYXNlRm9udCAvSE1HWkNEK0NNQlhUSTEwCi9GaXJzdENoYXIgNDUKL0VuY29kaW5nIC9NYWNSb21hbkVuY29kaW5nCi9UeXBlIC9Gb250Cj4+CmVuZG9iagoxMzcgMCBvYmoKPDwKL1N1YnR5cGUgL1R5cGUxCi9Gb250RGVzY3JpcHRvciAxNjEgMCBSCi9MYXN0Q2hhciAxMDIKL1dpZHRocyBbNTQ4IDMzMyA2NDIgNTg5IDYwMV0KL0Jhc2VGb250IC9SUlBWSlUrQ01NSTYKL0ZpcnN0Q2hhciA5OAovRW5jb2RpbmcgL01hY1JvbWFuRW5jb2RpbmcKL1R5cGUgL0ZvbnQKPj4KZW5kb2JqCjEzOCAwIG9iago8PAovU3VidHlwZSAvVHlwZTEKL0ZvbnREZXNjcmlwdG9yIDE2MiAwIFIKL0xhc3RDaGFyIDUwCi9XaWR0aHMgWzYxMSA2MTEgNjExXQovQmFzZUZvbnQgL0xTU1ZKVStDTVI2Ci9GaXJzdENoYXIgNDgKL0VuY29kaW5nIC9NYWNSb21hbkVuY29kaW5nCi9UeXBlIC9Gb250Cj4+CmVuZG9iagoxMzkgMCBvYmoKPDwKL1N1YnR5cGUgL1R5cGUxCi9Gb250RGVzY3JpcHRvciAxNjMgMCBSCi9MYXN0Q2hhciAxOTQKL1dpZHRocyBbNTE0IDAgNTE0IDAgMCAwIDAgMCAwIDAKMCAwIDAgMCAwIDAgMCAwIDAgMAowIDAgMCAwIDAgMCAwIDAgMCAwCjAgMCAwIDAgMCAwIDAgMCAwIDAKMCAwIDAgMCAwIDAgMCAwIDAgMAowIDAgMCAwIDAgMCAwIDAgMCAwCjAgMCAwIDAgMCAwIDAgMCAwIDAKMCA2ODVdCi9CYXNlRm9udCAvREFMR1dGK0NNU1k5Ci9GaXJzdENoYXIgMTIzCi9FbmNvZGluZyAvTWFjUm9tYW5FbmNvZGluZwovVHlwZSAvRm9udAo+PgplbmRvYmoKMTQwIDAgb2JqCjw8Ci9TdWJ0eXBlIC9UeXBlMQovRm9udERlc2NyaXB0b3IgMTYzIDAgUgovTGFzdENoYXIgNDAKL1dpZHRocyBbNjg1IDc5OSA3OTkgNzk5IDc5OSAxMDI4IDU3MSA3OTldCi9CYXNlRm9udCAvREFMR1dGK0NNU1k5Ci9GaXJzdENoYXIgMzMKL1RvVW5pY29kZSAxNjQgMCBSCi9FbmNvZGluZyAxNjUgMCBSCi9UeXBlIC9Gb250Cj4+CmVuZG9iagoxNDEgMCBvYmoKPDwKL1N1YnR5cGUgL1R5cGUxCi9Gb250RGVzY3JpcHRvciAxNTYgMCBSCi9MYXN0Q2hhciAzMwovV2lkdGhzIFs0ODFdCi9CYXNlRm9udCAvTkxKR0dPK0NNTUk5Ci9GaXJzdENoYXIgMzMKL1RvVW5pY29kZSAxNjYgMCBSCi9FbmNvZGluZyAxNjcgMCBSCi9UeXBlIC9Gb250Cj4+CmVuZG9iagoxNDIgMCBvYmoKPDwKL0xlbmd0aCA2MDA4Ci9TdWJ0eXBlIC9JbWFnZQovRmlsdGVyIC9DQ0lUVEZheERlY29kZQovQml0c1BlckNvbXBvbmVudCAxCi9Db2xvclNwYWNlIFsvSUNDQmFzZWQgMTY4IDAgUl0KL1dpZHRoIDQ3NwovRGVjb2RlUGFybXMgPDwKL0sgLTEKL0NvbHVtbnMgNDc3Ci9Sb3dzIDEwMjMKL0JsYWNrSXMxIGZhbHNlCi9FbmRPZkxpbmUgZmFsc2UKL0VuY29kZWRCeXRlQWxpZ24gdHJ1ZQo+PgovSGVpZ2h0IDEwMjMKL1R5cGUgL1hPYmplY3QKPj4Kc3RyZWFtDQqAgICAgICAgICAgIArg4vwiHCaMKbgXviu6rWA6kOAmcKAoYDg4FgYgICAgICAgICAgICAK5qy4y4y4y4yOKRxlxlygDIsGXGC/r32XGXKMhMW/6pppr+y44AyGMuL1zbD+RxS7jJECfQiIj6DgDJ2RxehF7I44DszF2eQlsjnOyUezSBcHDtStmXNZHOAOwQdFdHDgDsoeIuXoDsagWCK41wcC0I3CwQOR3A7BuEIw4AFYTc7DdCHI/AJwQw4SGHAO7OCbgog8MtxRyZ0zcocBRbgV4CEHI/AJLQh4FGDgArcQQbghNQEc2obY2AJ3Emz6km04KDrrBOAEeAlVcBU4EEsVODWoG5oPBDcItBuweDDcMPAI2HMhMKiF3wIMEGCDgidmgGESoDBEdAcBBCGGCBBhggQYcAIIGDCCBgwgQMHBAgwwQIMM7PF8IEGHAggYYQQMHEMIIGHQINlSkCDc0UEG4BBBukEDdNoINxJvSbXSbhJvSb9JuBJtS8k3Wk3Sbi0n6SbgKbmjTdrTcBJvbSvpJuAVutW0NXgSf0nmcJJuKbXpuhrgEr6SvSbgFfVX16m7qm1puD4RHLx+Em1YSTaTcDxH/hLS0uAyEDt5CB28hA7cOvr64D//27nF/OL+cXwSXOy8kudi8kv81/B/wf85DzXB8hwLB8hwLDr4Prg+uDzn8H5z4Pzn+cgcQfOQ4g+ch9JZ4xrBF+KWVD4b0uQPBtfpDBF/Q+A66n2XBdc+xcF1OTw5DvXguQ7y/wXId5hcOmPgumK4Lpj4NWCI/wWrXBatcBsRHgmxHgmxHjx8fj/0oD/+NLS0oBvb2+A//htJtJtKP/4tK0rSnV1fm6bptKAtK0r4G1bVtKAdJ0nWG0m6bSgtK0rSm0m1bSgYYSYYSYYSm0m0m0oDDQQYYQQbQVsJNpMMJQMNIMMIJtKYYIJhgkGGCCgDBhIMGEEwYSgDIpwQZEoCDISgKAGIQMQgYhQI2HMhMKZKgWAERiAgICAgICAgICAgICAgICAgICAgICAgICAKqihHZqiXZTs2jVHeiKxQEmVoUKlHbumgiPkwiKpNBEfgEmURVr2l1VpeFtVHxzolUcYSPzaDI7Louy7OIukGfZdl/L5+y7OSegyOy6LsuziLpBn2XZfJ2R4/G2XSZyOMui7L5iM42y+Zx6gwioewnZT3SVhO7ew0CMe6BGNrYTsp7pKwndtww0CMbsp0gRtOynsGXwiobthFQGgRjjTv8fV/73X9f/H1f+918dbx6tO+1peVrv/sf/vv+//7H//v//2v8e4x//b//Q/Q80C/7f/2h+t/4/qh8Iof/7D//mn5pzov9h//zT//4RQ/+bZqMJf/v/////v////+Ev/gP//b/+n9//2//p/ev//d4B16/zCf/////MJ/////1/vgP99+6f/Sswvswvffun/1swvev//cwrMKN32027oJNpp3CBBBhimmGGKYtpt3QSbTTvQQYYpptJpppu6dsMQwxhsRSK5XGRaG4B64GUGuGUhcBFOGICAgICAgCvWisUyG0RVJoIj8DJCVWl4Mg0qjjAy1SDI7Louy7OIukGfZdl8nZHj8bZdJnI4y6LsvmIzjbL5nHqAMk6YTsp7pKwndtww0CMbsp0gRtOynsGXwiobthFQGgRjgDszClC8fV/73Xx1vHq077Wl4DIGv+x//7//9r/HuAgh/2//tD9b/x/VDjszChBD/sP/+af//CKH/zS4EECH/f////8Jf/AIIf9v/6f3r//3eAgh/zCf////9f74F9+6f/WzC96//9zCswptNu6CTaad6CDDFNNpNNNN3TthiGGMK5TFdTDc4ODgThiAgICAgICAgICAgICAgICAgICAgICAgCuEoKjg4FL0i4CaMNuArvhe6ta6gIRHKFYUEYCAgICAgICAgICAgICAgICAK9IwMuMuMuRcZigyVRlxgn6p2gZcZccyFmXH/7/+XGXcMiZAnfzEv+DI44AyrJOqOxUfZHOAMpjT2CEQa4MvQDs0GtCIi6IrnkoAO1prQg1ojkIABaMlmsj0OwQeIhqRyQA7KHzLp5egBcQdA4A7A3iPBZlwuXo7BvEYcAWCh8Q8OwzmbnRdwAojcDvpKHAKwQeACiGi9IQ3Jk4VwAotwEgegi3JeCSOocBRhwk3hB6ibZQECuBbPqBBBtOACTrAp05xCwQIbk04SWCk4FWAoG5w8BDcItBuweDDcMPAzIsQYcAjYcyEwoIhd8AmA2GSgNh2njsYDeAERbPYYIiUDoEQlA4IkMBhEhgPCJCAcAgQbCBBh6BBuEEDDQQNqXgggYcIJsqcEEGHFpNwSDdJNzRQQbgIJh4QQYe2EmHASb0m60m4QQbUvIIN+gg3Sbi0nXSbgKbmjTfVN0m9tK9Um4BW61buleCn+nhEcqbgSbXSbVhJcP68R25JvVJtLl7pdeCm4RHKm6bg9WF/wEmxFJtJuP/4S0tLgMhA7eQgdvIQO3Dr6+uA//9u5xedl7nF52L3OL5JeDSXg0l481/B/wf85DzXB8hwLB8hwLDr4Prg+uDznxB+c4g/OfBKcgcc5DipyHxtZ4yB4Nr1gi/BF9ZUPvS59lwXpDPsXBeh8OuuC6+C6nJ45DvXguQ7y/wXId5hcOmPgumK4Lpj4G1YIj/BNq1wTatcxEccRxxHgP/SgP/40tLSgG9vb4D/+G0m0m0o//i0rStKfffgbSbSb4D/0oBtJtJvgLW1tKB0nSdYbSbptKC0rStKbSbVtKBhhJhhJhhKbSbSbSgMNBBhhBBtBWwk2kwwlAw0gwwgm0phggmGCQYYIKAMGEgwYQTBhKAMQQYggxBQBhAwgYURGICAgICAgICAgICAgICAgICAgICAgICAgICAO5mZo7NUS7Kdm0ao70RLsp2bRqpFPZWhQqUdu6aCI+TCIqk3dNBEfktlEVa9pdVa9peAXtVHxzolUfHGSy+2gyOy6LsuziLpBn2XZfy+fsuzknoMjsui7Ls4i6QZ9l2X8vn7Ls5JwPYewnZT3SVhO7ew0CMe6BGNrYTsp7pKwndvYaBGPdAjG1D3/H1f+91/X/x9X/vdf1+AXu/+x/++/7//sf/vv++A//9v/9D9DzQL/t//ofof//9h//zT8050X+w//5p+aeD//3/////3///++v/b/+n9//2//p/fgH+v8wn/////zCf///70t9+6f/Sswvswvffun/0rML7MLuECC2027oJNpp3CBBBhimmGGKYtpt3QSbTTuECCDDFNMMMU4GxFIm9huHqAZWigZRCgEYCAgICAgICAK4siXZTs2jVQMlVEVSbumgiPwDIaSq17S8AyEkqj44wyFEgyOy6LsuziLpBn2XZfy+fsuzknMhdMJ2U90lYTu3sNAjHugRjagDJOFKF4+r/3uv6/Mitf9j/99/3wCCH/b//Q/Q+AMk4UIIf9h//zT808EECH/f///4AIIf9v/6f34Agh/zCf///4F9+6f/SswvswuG027oJNpp3CBBBhimmGGKcsgEG4gICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICALfSMDI4pHFI4y4y7gC3cZHFX/gy5wCutD/aaf4ZdwCuFj9mJVwcrlI/O9Fl3K4k1xEHg4CuTwToRyO4rgx52tci7UyvU1ZpPI9ArkC0Iahwr+8RhwDIzYKzSG5HoBaFqHDIkewQwcAWCEOSFMgSxBovJwATgjKIvjDTgMhaUYht3CwU0Q6wKNNunMkhzSEcNwAVr7jIY6GtYCsF0nFG1TjJDgujuAeAFFDB4SmcI7IFgMhzYKhBuCjnatwRThYRC7cAJwlO04bIFEQREoHA7VOCCJDAcWEECDcAKKCBhwAoQTcA7K6CSDcAKIQTDgAqTcARThIINwAmwkm4FGm6Ek3A7J0JW4AopPAtNwISVwARxwleACjTcX4AIJJuAhfA7PClwC5CB24BLrkv4hc4vgDt2kvAL/EuQ4FiF14XnPilQ85D4VJYIv8BS3Cx6Q8BIty0Qj9fAhFuVAnId5f5y3FAI6YrgKqxa1a7abEeASr5Jr4CEZDI7Kpfg6oJaUAQXhJvgVVRJ18BcvH2TsiMxG4zZ/MRuyPGjP5jCCabSgKiGEGCDwmEwg8JhOIYQeEggq+BKa80OfFZhmJGjZhmKaKNGMJNWlKSdrUUq0m0q1bSbQJBC631Hv+v+uuggm6gapJg6qkOqr0OggrSgJXebFBh///8U2sDVUa4bVVmRVVqZATpQX0lOJ/3/1eE2lKqvTqqqziqqurOIIK0o/Y4/2P+CI5MRTaXVWZ4MJVUMJVVQ0GWOm0rLdQTaUBCCbSgrlYIEmGEoJTaCYMJQxCCDDBBQwggYMIKAsJBkSgKABELIpIfYgIGIUAQYIMII7EBYCJQaAYRI4MIIYAQIQwwQIMMJQAggYMIIGDCCgAQIMMIEGGgoCCBgwggYYQVAg2gg2EFAQQNoINhKSbSbQUBJtJsIKEm0mwgoSdJwlKbptBRK0rCCgFbKpF9WwgpJ4hpOEoCm5o02goBK6bSsIKBXXVwgoKb+mwlA+v0FSb6SbCCg+18IKEvpLCXIQO2h5Bh20FDrmcLrCCj+hS8IKOcX5BLnF4SgSX4NJdBQ81+sH7YQUOQ81jB8hwOEFOvg+oqA858QfnKF5yBxzkOF1njIHgrvWeHDgPS59pAXpdmVIxGK664Lr5xw6qrkO9eC5DvSw2qr6Y+C6Y9hiIzVgiP8Fqwkgw5sRHFsRw3A/2HA9vDDgP8NwNLSYcBvbw3A/ww4bSbSYcD/DcC0rSDDgHV1YcBum6DctK0mHG1bUMOAdJ0g3G6bphy0rSDcbVtQw4BtJtJhwG0m0g3AbSbSDDhhgkwwkw5gwkwwkG4MMECDDBBBhwYMIIMGEE3ADIlAQZEOCDDgBiEDEIMOIsFMikO3JVCGHEgw4Ns7ThbDDBBww2ESoDgWGdwKGRFkJXhhhBA3UNosCDjYYQTcsMNIN3DaCbi2Gk3AcMNJuBbSbiCxkTjsqgw0m4Dqg3Tcv2Gk3HVQw1bgh5ePsnZEZiNxmz+YjdkeNGjjtJ4PEMIMEHhMJhB4TCcQwg+HTcAGeQg15oc+KzDMSNGzDMU0UaMQ0ri0na1FKtJtKtW0m0XjM0rwvUe/6/666YadN26pJg6qkOqr0Og3f2/Nigw////DDTSbgA6qjXDaqsyKqtTIsX8pX6SnE/7/6vQbS4CHVenVVVnFVVdWcXeQgduAv2OP9j/giOTHr1wNqrM8GEqqGEqqoaDCW/4OW4GGOcXwO4k0l4BBmQuCHZSCf287LQnIcCwOW4mPrg5Hy3FCznwYYNTkPobayofAb9D4ByPdTk8YfId5hcCH0x8O2rXADkexHhh/h/AP8A5HelAYbfBvSgcvN8BpB2lAFhvwDkebSg1D+BhtpQ5etYAHQbpQG20oBsj1pQ1DbSgYbDCUMpxHZkBRfbSgGDiGGGgozCmi2EoHQdNhhpQYNdhggoAHI5+GDCUNQ6wyJQFAHLvoGIUyEqHanZMLGy91J7mAB0DQzsuEgBzFM4R2nB4yU5A6O04Z4By72oAHQPagFyOa1AeGLUAbI7qAK4fIo5chozqAF4MEw1AGsuzLTSqAK4HQZdhOCageDCjUK5RZcZ2FHBNQK4XZcjsbwWEMHsjjOxg6GB7I4pHZShqz7UwWuRRyODJDwRj4IYAWvQMuMuMuPxgtzF/+MC3BbqCGERGAgICAgICAgICAgICAgICAgICAgICAgICAO6kTo7NUViMlbIqydUmVoUKlHaCI+7pwSZRFWl/agFtVHOxpeMBI/NoMjsui7Ls4i6QZ9l2XydkePxtl0mcjjLouy+YjONsvmceshsvmI/G2XzFl8/G2XRxF1l82y7I9wioD2E7Ke6SsJ3bcMNAjG7KdIEbTsp7Bl8IqG7YRUBoEY92DL6BGN2DL+w0CMbsqEttu4YfWvx9X/vdfHW8erTvtaX+rX6vdfFXq/eBcb/7H//v//2v8e//v/vvsf/jX/2//tD9b/x/VDPhf0P/0Pb/7gP/9h//zT//4RQ/+ZOVp+af/mnYf///9/////wl/////7//A3/9v/6f3r//3f/f/p9v/qHuv8wn/////X+////88n/+A3MLffun/1swvev//cwrML/swv9KzC7r/WNhjtpt3QSbTTvQQYYpptJpppu6dsMQwxFNNMMMU004QIIMMU6CSdp6CgGxSOxEVySGAevhlEL5lHXwRTTgRgICAgICAgCuUorFAMlhEVSaCI/AyE0qtLzIVSqOMMhdIMjsui7Ls4i6QZ9l2XydkePxtl0mcjjLouy+YjONsvmceoDIqTCdlPdJWE7tuGGgRjdlOkCNp2U9gy+EVDdsIqA0CMcAyLhShePq/97r463j1ad9rS8AyBF/2P//f//tf49wIIf9v/7Q/W/8f1Q4yLhQgh/2H//NP//hFD/5thQAQQIf9/////wl/8Agh/2//p/ev//d4CCH/MJ/////1/vgX37p/9bML3r//3MKzCm027oJNpp3oIMMU02k0003dO2GIYYwrmkV0gbjg4OBOGICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgDtZjsCiXiUxPfOv/PX+JlfjjIPNxeLszjkcjkR4uyeI8becaDLx6PRdn3l45F4vQIPSiwg36i4pPCD8IOLCDiHxcIPSl20aHesu3CRnej42Fo0OXbRrcu/Lh4PSrp9Oq6p8f6evGr6eI0DJH62//revrfw/+4BA//uCI+v8ebF//Yf/wGCgiPf7pXX/o0f/ww//gCZBin//f/mpS//wb/+Agu/eo4/3N3/vXv/1gt/tWq/uvX7Xy9/2sIL/Yrf9itjb2K9iv4qAgtvwwv/DWy3vhheGF/M6gC3BIYDg4OAYgICAgICAgICAgICAMh4g4ikZREvEpieg/KVkX86/8P1XX+AmVj/444MrVnGciPEeL5/OMzszi7Ps3HI5IMvEeI8cjjQZnEeNvONBl49Houz7y8ci8XqDQ04rtU0OLTfrivCD4pPCD8IOLCDiHxeDRoozuFvSM7Roy7aM7vVhQvRrbChIzvR8bC0aHLto1uXflw6Dp6eu1p6eun066/Hqnx/p68avp4AjQy5GCBA11v31tf1t//4frevrfw/+4FTTQP4/6j/47giPr/sP482L/+w//v4L/7X/90rr/DD/0aP/4Yf/wCZBj5qd6mp/mR3/8G/mpS//wb/+gn3N3xubn/c3Rx/7+5u/969/+oCCtbr+6tfumq91L3916/a+Xv+1gIJjYr2mKY/YrdvjYpvYrY29ivYr+KiCZnhr8NMz/DXvst4YT4a2W98MLwwv5nUm6SGA4ODgGICAgICAgICAgICAgCpx2ZxBxBxiNTiqqqWAzueSn/4K1UfHgFLyDLxfLxuONBmcYi8peM7MR6BBwItdfCDX04sINcIPgJohgo6qe0GCqzHNFHvVI9wwUNvgvUfr20r9K+CtaXteuv//gP0tWD1X9D1Q1l66w3Xqvr/A6/wb6/qY6qY6gNetI2v6rV/fgLpfVOl/urML7MLghEcofHHD/hEcmP2PgFYTqGd4MJ1VVYTSq0ssgEG4gICAgICAgICAgICAMlSK04ClgCpCHb5KfgqGqjzQZeL5eNxxoMzjEXiiL5pHouIcj8Xy8XjcfZ6LxnGln9rr4Qa+nEMIPUIPXTCYQemEGEHAXDBR1U9oMFVmOaKPeRuCRocdgi4zQ7MaNFHv/gvUfrptK4LSbgqra60tK4Cklpe161/rrqqx66H4j0tWD1X9DSVdJV0l1Q6q6w3XrX//6mxdfoL/Bvr+pj66/0a/80lYRtz1pG1/VWr161VUktVm08DX1Tpf+rML20v//dOzCqh8ccP9DY/Yr/Y/imOA3UM7wYTqqzOE0qhhKqqzPVQwmoDMlGW6cNxeHlgYgICAgICAgICAgICAgICAgAAQAQ0KZW5kc3RyZWFtCmVuZG9iagoxNDMgMCBvYmoKPDwKL0xlbmd0aCA4MTQ3Ci9MZW5ndGgxIDEyNjEyCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeJydegt4U9eZ4Dn36uplva4eloUfSMiPGNkWtjBG8RMjjHAcx3Uc1zZaxxgwYCBAHEIc6nVd1kMMIdRA0uAkDkMd6o/hc8+VKeVj2QyQ0pQQZjrNlnxtyrZbtsOoTdrMTKcdCBb7n3OvZENpd2Yl657zn/s4//t1jTBCyAIHFUJ1dS2Pb/vjk28ghA2wmvHEk/6S3uVDpwF+BOCutVvXbEfsg1+Cg2rt88+57VdNNwB+GeDWnu0btj552v8tgP8PQtz6DWv66PUWuLQBRu2GLf09hroFv0JIgPtzQxvXr1mny/ylAHATnF+yERZMXaorCPk+BDh749bnXviVz5UG8OfwzM+3bFu7ZnVl80p4Xgucv7N1zQvb8VEOpoW/gIP7mTVb13u3V0wgVERxvLB9W99z93pRD0L+C/T89mfXb/+7Ty6OAwzX48iu9d09DvdTgGNxBZxX05sodT/8wPhlOl77xlffoeM/vHp5HPH8x/jrSEAqIaC6Botj8shdQz1cI4wpAs+reI5ToQc+y0K1K1DNPfioURxgzThvdSN8mJ7jbwrVFDPEy9cy+CD6CdqJdqNBtAeNoNfQM+gk+jXaj46go2gcHUcnAJ5CUXQG7UVb0CnUh4bRMdSGutEQ6kePozfQdjSBDqABtAGFBBEhggoIsj1GGpraSP3z7QR5q9OI2tdW2c7WBtrd/5NgW1FaIcEF7p8Sg6+QcAWPNbet8LZ7CglfsCnNTWqa2jykpr2QqArorR6v58W2G+nX2tPhuraZ9M/a070eIvjaSN3z7exEezs8TygwRjoKibpAWoBfgt3dL0Ui6QTBYzQFUjZbqkkuaQusojvoLyS6AvcA3eR78Bg34XNWed1ElVtPUFPbvvX71rjpZGm6x9Oevo9BzTJEN9TL2FnSLR54YkqB+0eMHEOB2080vkib273SW7em193mXtctP4JeZ6Q7w9bufe6V++rWePe593nZdl76cFIDVwJ9dIHUrKcA3GNiO1VeT/N40t3X9wEb4KZVgM1TCm4edpm5wOu+rmzudbc99mS6h+D2tn1A0CrvPq9736p93jX0BvkWOhQSCxWDFfAWKQF0Yn2AgH108K7p7ZpLCb3VVgBE7NtL2Va/zrtPQ9xNbRXpF+CMvWAa1eCa2lr82FkLWovYkV78VBs9Nrd5uwF7b206DNhbC5yvaW6Lgm4uX1sbxW4MA3GvJa71GYm9HAUEVoEvcChkbgHhe/eQGWa+/+e3C74H0Hs4Fbfgb8L3j1wvd5PPhu9b/M/mflW5qlHVLwS3EBFG4fsD4VdqJ3wr1K+pb2qWa0bg+wvtl7V/pf1AF3zo9zv6bP3z+lspLSnfNHzNcNWoNrYaR4xnTR7TZtP75lLzO+Zblk7LJdEiVlpXWfdb//3/92tboHgQbPjw1sDvw0+bK/4NzdeipA9RxntTcaQRNRTUIk5xExwKwWGd8BT4Ag0qkjDyV0Q1qvzPSiS18LOKKM/BFEk8XRboclSjXni3IorpekD0iDke0RPi3PFs/Hp8o/DUnb8JgX/CqCs+gV9DMSQiP4qCq/VJKaoYJlY/4a9LprRYlDfpfdOI1+p8kg37kJQiiFZiCi4qdlbhUrV3QW7p4iWBklSHXa3pal2rNheH6wO1DV8fuJM32MKVP1pW3RsZvlwKOw3fu4X7YacUupMOdjrNq5BF5Zs7x8TgJ+i6pDbG2M8IOy4qLkvsALsNhwPF4XBxINxTHl5ZURYOw5Pt8bNcVJgCzjyOMFGxJ/BpMcJbJIx9EpcWkwTsI0vmnav0f7YUOXx6FUFFhCsiyCLxwm3CwYXCbW4aYY4vgg+pmYdhXxsOYDvn3T1zI35W/YfbeiqFjnu3+GNCAKjIRLUyHZJZFyMuv8TrgHFZbHeDNUYMFskOu6utMWk+jHaDaJV0fDCIJJcZpmoUBCbaLNZAiVW0cN4FHJtXcaWLiwAycR033r9848bl929MHOgLRkI5OaFIMPj08hxuFNfjtvhk/Ax8j+E1eFX8f8dnqof//uDBvxuqrByiUj0OsWKPkI4MwJEotTcJA476EmCOJKTEiNaPidFPuOuS3hCL6jkQcY3eoPNFOT2dckhHjyqQuQlQ13Mgcm0QOBIo9Yje0ipcBhrlOI59v+0YXjKETfv597ZYFnm+2L4f9q6HvceBQ5loOYpa6N4mPkbmzfLHeZ0yJepU062cImwynyqWyQJcSbEGg2SeOI3UzsxsJ2VQFWayN3EamHkcntIqvnRxrneBWlPffHbozD80HXjvudK+AN599/Thf3yjefdXml8OqrZ2bPloKnLu/Y/7VdrRdYd/e/Vk046DkVqQnxewuwic0SM7isjyI8hP1AEpBTikKiEcsMbhJ7rrxFAiaUXQopKoVkdR1aqBQTotneqAQVIqsEarA6QtIpVqCgIu4SDhRGKhiJfigBhweEUvNb3FS8q8Jqzxcv7z09Nvx3vwmFqldZVm4o3b+NDdH78Ufx1vfAm/WHqo1N/hp14iAHr2OuCZi3ag6ALKRRVw0eCX0jQxYvdLIg/MzKN4SpmGmPSIrN/V/+NOBdVvIhaZiOWCINnF2ybiuIAki6OoCE9bRLsjoeBSJsXdaqO4G1SiFbTfLPO8GmdhWRMZn/NswHaeyiGLo4LwLijiAs3B8b7yTY2Frw+Guso7fNyBuNrrf7q85fC2mvrd462NQxtbxp6BE43PhPZ+Iz83yO08FB9wZRSvG+vtfWd7xfziGmpN3UDlJOiKG1KyDSiaQenM1sZIgV+yaxi5AqXTz4xKBGF4SohokfKB804xJi2CMV8E1A2CPQNQJ05R0mkpQQXZojWKnCCYoGSwg2B0QSKIoMQgmMVWplNOTRGmdqZJahglrGwu6d3N+6e7e8fKOvO3V4VefDrIVU40nbxa1bu/qWuiv27CcmiguLnSu+vFykNc5DK2TzU1lW/yLw3+tx+92dB25Wrn2DNVjeO/WXLx+/mPbVo2dKSJyrUD9G8C5GpCK5LaJ2FKpJkJU+uIJdSNv1/dLIq6ET3Qh6my8UzNPA61ntN4l8zjyjr4+p2jrXnab2tL2ka6VCOHNh2O/3P8n+Lff/csXoztmNsLPG8Gnr82y3Mz5Xkq6FaWX8oGni8EnmuTPPdQnlukdFCvvBJJr/DcgxTNIenitDlVyALeIykV3BqxBkmWSGxBaSGVgB6lB5mbW1zFyerDmYDpuXkKm8sYVGZPDZQsKZPF0Vy56UBj14n+UPPL0e6N40ueBt7Xvdj5KPC++eSV8ed3Vx+qtRwZ8LdULeAPdo5tq2x869Pxy/FPp5oaK3r9weDwj8cbO658MHS4qfPi9/IbeoFiFnn4D8FnO1HgvtgDln7arESeNEowNXoIPMTKBsn1J/FHfFgsejAm8fMSwQl2V9N6BPJ2DcTYx2RvTPgABGbAQq1F2AgxQieHXGC4xhEjGoukAi7zzhgNuZJKAxrOYa2OcRlrgctG4GkAopOX9/A2T14RzqPeRY3fv4DfPzMYTx06hY/U5CzzaOcvyxGq71zEY/Eeznttx//aufPn2yFOngWcugEnG8pAOVQLWIyw62IMLSlHFzudmcFQy9QAarkMNbshRjJLiN0ipQFWJoA87uuipLHFpDyqFHbqv/XU+jLsLEcgmaKkTwEtybESDcVY9DAdUGscWZgZXA7IHUzNh0sTk7P46z0n+5c/u+vwxKqXzu+Ix389deF89NfvT702Pv73QnV240DbuuPztc5j+7uPdBfvHRoZ2Dm4a/u2LmpbvfduqZqENuShUs5keq2PRQVKkUEPZCyQ3UhqTPLSgGNIFa2ntUjnmidHmgf8gsOexVG1dFIdLcJc7+q3P/na7rPlXaVDrV1vbqss33y0q/tQbVfTlaHBj99q544dx9zprnW1W4Khhld+MDB49WBj48qNkQ1PR7GK6gHl+R7guR64vlThOMScKEfxs1ENsDP8UoCxKRbJDCwVHDHJQVG1pQBDBZmFbiRS1uXJeQPlWBMuw6HmY7HXp8Y+/c2nvxkTqiE7+Ntjd6ci+3E6pmm3CQ6wP/8R7J8CEVreXccr8obQclqQVZH5WzkJ0xloQARzYS4ohaYEOp4dNeCO5NSM5gEe5XeWV89M4Hic43YI1QfjHaPxtFFl33dhXx2qkfd9+J76h+w5u1vKA7uxvTgomOlOwYMzJ5C8k2qQUVit2JlGtjMiBE7zerYXr0/SRxnNlVBea8G9qUokjSGWJIumzAGI3bDVSW7HqVMzB4XqmWtc4M5Frn9mr7IbpjbEg77N0pXMP+FZ9Cckn3f2JLVEemc1eGAwS2SBOkf2vyrQUy27W4Q6jmVlkpUKXguBWUI4mIzKS0rhUSxWVe8u7Atv7T3la3ul++67rU0rh8f4b95taD3aV6twfQr2EFCBIm1ekTYm6gSGUZ7xmReAw5pZwh1AcoNQ/UXzqEKn4IInudBTCld1Clc1AQx5HX2WC8KEyyLpQWd1kO9CuJBcNEbYHWD9enGaAxdG47POKpnMQSV+SSpTkKl0ANsCkGsDt2maxGMv5r3gIMSzV7CqW9eJuSvHTVrtlnh8Tfxur04tgiQWxT/DNu6HII2bHT/tiP94Zhn3t9gH05nMhCbsZP6tWcE5RcFZF0jYmQ1ydBuTPWSdzM4kG8WKIki0osQZYEwBLIWHIlyEqSSSqBL8j6Natek4AaXXak1C9d3vxGM9P+vlzty5yDdie89Hm2do/kl91C3wUTaUBxWdLH1Xwkt5qXI+Ijvb1Bj1tFk0/QaHRTOeLOpgzQwbrwumermCkN1WFrYqwRVcVRlzXbOlRG/L6x8NDn50tKXlKB1fb5GCGw91dIxuCgY3jXZ0HNoY5E4cxyja2RW9h44dj989s3btGaw6Pnh1tLFx9OrgwJX9DQ37ryS8WAg4a4JYWjvXnp0QM4xmZmNGas8snLIoYS4hJguLZNTAaEiVnDRVmBsSTODIXHg2CLy57exQOLznzLZ/uUH+5tS3bwjVj/yXb2zrfbNn8cyn3LHhg6M7FFw6ABczSkOr75ezlAbomCwMHRNFx8XQMQM6lhJilkszis48WprReswIkYtoRGIA9lpMLM0iaeIDcQtU0zsXzYmebw+smBjBLRfi53//y/FvTb71S6E6d/XBjePnvTNnuLKZK9x7Q3uGe6lOtoLV/wEkH6B1R3HC6p0U2Swq98V+YoWEy8ASLrBGqQC8fykNrFa5sNCI31GZnFmPFFNLKrBK89KpKmSBh/gOwtZ56QVzkvclVPR+XAS1Es28lKCmpjFtPs7i5Ww3t7Un/N7G4SPeii8tuuDvbiyu3nE00n8tHKl87ekdL+XWNua/G9xQ76vZ9a3NB/5laldDpL87EA7kO1vsweYd9Q17ukoj9c+UhzZFikOBPEuzq7plR33T/o0Vm4HaIMjGwrKeR1FUndQSxNOCCkMBStTXJQFckMDKQIEmu2qBTtU02dUxb0STWyg4xSD/cXzzKRU5ePCLJijdQVPBinYxn1SGog7KS61e9m7ElHRK4OBoCwA8umRRnJKRB1Y6aCVro25UsZKERy3ioieLW/pqQ8+2Fk/UD5Genumhes7H2+/+U/9Et8/XPdHPp9399PiNkYqKkRtKN1g1H/AwohMoaqT6ZwhEESVUnxIAREwMEeyMESx7xxSQqVnpRQQ/66C1monoLUR9QYBARAwXzlX2fPY7WE4hasu0Rq23+aa17Kijxyis0G6cVw0aCl4KPGoQTat1Gi2t6vBptc4gT+UKT49ZrogkZFTyBzFgy8LOAFTwNsgez3ycU5anywl6P56Kt74PbtXX/+GuXdde4H4MgYpDu0Bj9/B3UTr4qgEUtVMpuiiz50PaYsaU62BlvNdlpoE1Jem7MmwxkmGRFtAc1lFSItkMzNPaTaxypa4sg3rTFOpgF4hRrdkFRQKxW0kqoMq7mIjAA5OUIDFbwSCpk8vOYb4MqlG5XBO9NOWdLR5EE78L5+Bqq7+xqu3ViuV1P+g/M7HfrAq/Exk8cWJdffir4YFTGwsxNzHl9XfU+Wrzdxa2/Py/z4zvKn/qyOHWVctrsd1SWNVEfdwkaJdJiKJUqL43Kz5OpHTPgxCqoXRn00k21VYN1vlYIQ50O1lCIaWmxYjTwpo+BgcrzSUnpJrEHiTzIV1mzYJ5SF7Ipg6HaKxEJQcWUTO3zs7N82qSBSklXzM5qQq93dJ1ZF1gxa43W+teXaYxeWq/WlK5scGXUbOurn9UiMb7Tpc3hYfP9Q1e2R+uKe++EfSXrTsSad7bteQlqrOdINWdIFUPqkxkyUCNQMky6GazZIeSJadmAqbzgsQgRiFVpoISrEodPcezPJguc52Ne6a6ul8JtBR2lYf6mv2FTX3LwzsLG0InOrpPDYTx5wOX9taF/Vvyipf2HGhtfXldWXn+tvK6uuH3qAS6AMcrIAE78qI+2bKiVopqWgLV+XQyn7kOPZVANsPaAdWTQy5XtSWSwcC6cEbQO6NfygE5pDtA7wTaYzKKxAxySDMmIv58kaA/oS2PhnhZ0biEosnkdoV3vdHaOlirPfmySV0+1nb+F1Nf31P3YlX185W0LYI/77+0t76q9CQevNO4M/gUNt89fWV5HQcPX7puP1BIpXCS2VY26kVRJyXOolOIc2tjpzOMTgHMKoOaVQ4jzkjNqoQYLVImzQrMMSkXxkygICpYnEGWaUUNNnuQKpjFKSuYkRbjJGM2W0gU4hoPixMJeZV5aMfDxHU2DBxr7Xx1fal6pks/fTD8wtLy2rc3rJsaqp/gHEM7S9c0BvDnuy/tDdfuPtVblnP8vG/BM/lV4eGL3x877mvaCfpVCQI8IFxFDtSh+AwDdYhqWuoAccQckBy6GBEhCqT6if06NRnqIUwlUZudCtQmQiyw2+jUTmOBkxVrnByS1SK4PBoZyuS+s1MDaGdiudFW+dKBV/0t3pyy4P4f/WiS7xjUj48Rm2nIdXF85O4JvgNy9Ui8lP8c+F6GVqF29AGKhijnFwJyNsr5L6tj0VQ6cWliJOCXyoXYac8TIRtIwkMl0eEnputSPaSOeSUE0fJ3qTlG6iFgg5Jp/HTWQv2bJRbNaKEUZKTRGiajReuTiiAIrYaT9eC7oQ4JBqUWSIu/m2JL9fgC5ctpVM8QiQuEFyoHmRYtRVSmC8Uor1pJZx6rpMmD8QkxmqLPpisu67Qpo76FxX0n5M6lkJQmBlmBPQ6vUmqDMzHBLLUcz2l2UZVmzS4fZudtycSRtr8ijaGcwIq84qbyDSMN+Sszccc1rz/YPdyQ0+hNz67vuTD17bo953ZGXt9SceTo3vDO5sIN3acyl3tKi0s95Q0+X0O5Z3db2+53q/v8WucTFdWd6dr8kdXNeyLFppQhb29101Bbic3iLMv3V+4YqPtK51JvXXdbU6e3rD6vrlStz2vlnWXtlR5PZdvSbS/0U981CVXNZeYXHp/N95hHtlCPbJn1yI5ky4JjLQsDDb6Q79GmLWsIaqiRUC98n+elgUWU257i5KQ6/Mam8dHJjrWNzzdQx3ot1HX5wswI13Vg4PGGGT/1VCOAVp8wAjWnGVWgqIHqu5Gquc4v8fRNimXuC41pgxqBJkAaKomYjol3AtQyZxtLNDkZCRUXh+hv/qSQWVxeXuyvqvrCyt+8m4m4e1PxENvVDP4jjKJauiG4OJX8IsJG981IFJLT6RqLCZw8YMD8BuicZHNRH6GiWQFioRYDE/iy2QKTYTEHo2avtTi9vnhy96v++kuhYn8o5C8OxTsH1fqeiKrli1OvT1vUVxQsFTndBDkZUKEiJ22AuTb22oG+ILGxUGmipi0gxR5kOQRwQAd5NvD/hBpPnotH8e6z8RvnhOjdHM4Q3zFzCv/8J/E7TBvu3cKwDlzIk2OEpAYtUBtZFslRLbAka3FR7uRR2lIDj2LZ7eVOTmZatWZTqqXQ29V8RRX7Qp/vVg1qdX0yDWo1i5NblQpadAWgugAqmMoRY0DKgnQ2tSQRMyF3lzgTy99pWeEysKIY6nhJNLBoKnk4pnCsOKbezCqy9CwLQLByfVDhAU3QqPXep5Ga5Di536yuPdrRN5TVOB4Ze3Wyo3PHyGRH144R/ubBcNe61a2bElp6dMavDEnrAYrsqGlOtZSgh5rQHLthlDxgOHYZfcgFkuYDSn4/0nMNCPAMv5W0IIbdg/ZD4+C/A0731cOJIO/VzdbDjtl62PGX6+FEhEv4uPtr4c6GwRORyInBhsQ4ld+wubp6c0N+YpRzk7q9lwZ2vzdMM5LdND0pW/dya+uBnqWQrrAcMR5RmQDvVMB7PZpND2fZCTkiQf4E/qmgDM4SxtTU2dyQkpGqMHU2NxTn5oY4wWJbgsWz2aHThedmh2oN5Xjor9u6jnTL+eHIClXovyazw+qh+nhE2PtssBnSw52D7+8PV5VOxQk3NJsh1tEeRVc8wl9heuKlb5+SiZc1jVqW1QjhWU/JTCRiD2RfUHCR9GT2pYdsWC9nX8Zk9qWnr2Ig+6KVrTmRe+nvz70CZbQjVPZnc689IZW496S2fKz1oblXeUXnnX7cLZV96YHci9kBdw3oE9HKRAcjKTUj1JE6OtHrkz15UbYG1sIQZWkh0DZms5b7bVaps2XdD4y2li/yuPKzqvcF+JunO7c5Dmu1PYMzQ7Q+Br13AQ7FaA2K+lk3QKukHpn09UuJn4jXJTckGm65G7AQsocAjG5xthuQkpqZ7ad5w0Kr5JpHdSdTJVpPIyzOW0iXU2k6cV9LIO9hHQFnsiEQbKkd6ehem1/TnF/a27JkUdtgU+dbjzYFti3rbM+pesJXurV16aLISFvvxR3bS2tXL8sL+jyi1R/qqC7f1OCr9ffmFbc+6g3kzhfthaHuusrNX1rUSD1P8b1b3JjqDtTrz6GoDcmlBtMfggO0iiSoJCpok50ADtFQAWV82mxLmCkfbQZH09j7sTTIDYnOIvFgUryflfd8GvCGo+8zbTCxsMhmlrNFm9w7lvVIyXlLxeI37a9gQ/z3y1vTK12e/DX+pi2hDJo3Ymc8NjLzcWSdRT9ocpa0vljP5QEdYyC1KH8TLKN1blWiVgyf6AMJD6o0H3TU0O8rQ6gf1fHymzKlCMFqpQhR2hKyricrj9yxk23djbtWTu43aeqObjw2irdyz88cOzDQ1MZdupv5ZvPay5THLvpmEXAz0n40ww0lUDL5adNhThvAdl8bwDV13ulP1ToLnedPxI9d5m/OXK0/HA4frudKIdsA6SEkHIAne/BxFHVTgp2eQIC27SW1uaSE7TON9Sn2bGcgEQuxgfU8aJvNIbLgR3sel4TPDez9NLIQzwUTXEG4C+eqVv/zq3RVIOoiE8mwwGiR3MJt2kTQC7fPXar4XRW7y1lEUopobW3OuG2ijfv0jNvnKv/1d7/9sw2Tc5eyf/cNdjbFMm1IMcO6kR1N9EjSLdNp6U4AXew4jx7PVak/X8JucVumM90ZsJ7FjvPp8WEdmCicoUBmkGQFo7DLnAuMQWIKRuHxFIAyOi2IasyczpCWnjFfozWaXPMys4ru/+CaVE6t06cYzE56ldvzZ65TPqzTY6ednlSWR84R7Vwh88pLQt5bfOqIJdOktXhsRyfetHpFrSXTcujt+B+uHbTOt8Gy/eXvgQpcDEMMHKnjquXZ3jBXfTeTc4b3NTQcCM98SjUuEzRuJ+iFC+Uq+YQ5INd4BtaEozaJJI5mCRo7c5M6HHDKOFWzLE95c2nGmXhF/KPvDjsXpYMapvaT+Ec49N3R9NIMXfoi115Oiz/5JL8lH/4+idvi+luFq32+tkW3qNbHW5jWZ6AXEFNE1nkjop92gDHJ9BP9ddbfz5I1sOLWpy1zum5y042qjtxf082VLoqqdQYqEGVk/xYkpSnhGYmS4Ag+aEwmPvl6e0k1dk194Aw4tc5HHNGJ+Ej6so6+Bm8wzW1ZaG3dmuUELv+kdnRF6PAyLu+Lq/WDkVK9/q9UKf2ResrdYc6K+3k7VBaPIKgmlDfWf/EfpWwPeznNjc7+pxTSjN/9LRxfvTd174pGlDuYcz5f4T6l/2d2/we/9eDKX/7gGdSljMPch8jO30Yd8DsOv3r2X6y3kRd+Afh103PKWjO9/s89U9WB1KrT6KxqFPWqfgNjGTrL/yt9AwC+CebcPIA/RtXsWTfRWeGH8CuE3xNw/Rvydap34L4VqFW1CgWFR1BUlfUfp0mVhnaptqNJ/h3UCWMX/0fUybWiSpUWRQC3SfxHNIJv35vi/w1Ncno0qf5rNKnqgl8ru35S1YO6uO/D/R0oyJ1GxXDPGH8euYR3UTE/ijLp/KG8/E/y/j/zYfymGvAVkIHAljiAOchp6Tvj48plGkT7Jlilg7kdNytzjLLwYmXOIRPOVeY8akA/VeYqVIROKXMBfQ0tVOZqmCH0JNqGdqJn0VrIn5+ELOgZ1Ad1ybOwWoiaYW0DnN0C689CrF0Pxz60Cc49g9wQj4rQIlQKv3K440lYefgVi9gVG2HtOdiFnnk+ea4IlbGzW2GHzXA3vaYHVrfAM7pRCcxK2S/InjIXV3cSW7eCr/sBfOfitwzsqRatgNl/nF75rifYffef+ct4PAk0PAtrm+COjTB3w13Kf47f20D/z/1PP2fxvWGCD6DHiLapTcL4lXapjv6HNLG0P0bszTD5ansmUfsibYjw7hWE94WIyr0iyts4HwMEAFRpCqAGQPiBAmgAUO9QAC0Amk4F0AGgrVAAPQC6fAVIAUC/SAbAxSkbGmHVkM5Bflf3PIAmAI2zoBlA05NJ0AKgeUkSFAG05CVBK4BibhK0AWjNSYJ2AG1vJUEHgPbsJJgKoMObBJ0Api5IgmkAOn0JsJ3YfQg/td0xH6H/C1Ot0XQNCmVuZHN0cmVhbQplbmRvYmoKMTQ0IDAgb2JqCjw8Ci9MZW5ndGggNDY4MAovTGVuZ3RoMSA2ODc2Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeJytWA10FFWWvq+q+v8nVf2bTqeT7jRJg5Wmk+50QhMiMYYQftRsBOzEiOSHEBBMIAnIMCwiq0Aw4M8ILHqQRWRZlsO8anpmOa6jjjo77sxhZhk1rsugx+HM0XiQM8dxXJchnb2vusEwZ3R292xVUu/e9169d79777v3VgMBABEfAkBT05I7hnzcswDEjL2Fd90diT52SyoP+enIr+he1zkA6kV24UPo3jjkl542GZF/HPnZvQOr1t2djvw98m8BcCtXdQ6y+SJOrcBWv2rt5t41D7+Cm2nKAaS+vpWdPaY9b8dx/Ascr2Yd0n6tB8D1PeSn9a0beuj+v9LLyJ/FNYfW9nd3tv4keQ/On4XjL6/rfGiAfIfgWD6uB/4HO9etDLxTi/LmL8b5bw70Dw5NPAC9AAUiGx/YsHJgC/fdLcgzeV7YtLKr1/4vS1HGgneQ1zJgDN35vqUH1bbok1fU9pk3G4EXLpAnQAOCJiacw85D2ZY7B73cYTZLA3/+GurvRQkm8dL2ZpDS9wp/7Qd4mo1xJdyXTDLQZecKy7UiytsKHdAF/bAJtkEa74PwAvwdnIInYB2sh9dBge/CLngMnoK/gb3QqJEAKJRTsC+ii1uSdOHGNgrBuflUKyfr2tS+rW3+dyixz8wPU1Lu/w9qlsOUK1/UmpwXbAuEKV++Ot9P61uSAVrfFqZCOXs1EAx8J3nRe67Ni/OSE97P2rzBANXISdq0sU0daGvD9TTllo72MNWWKyVkF+7u39XR4aWAy+jKlWlqV/2NLn25TfInImFqKPdvZZu8icv4KV+6IOinQtlCCi3JkZUjnX5GzPIGAm3eEZVrzXJsQ2NWOtErBnBFU7n/Vyocc7k/QnVyR9Lvnx9s6lzjT/p7urJLsHkWtjNu7R/xzx9p6gyO+EeC6nZBtjitx5mIj3XQ+pWMwXes6k51Y/mBgNc/NoJqwJcWoDRLc7IF1Gl55UH/WG7zoD+56G5vgJK25AgCWhAcCfpHFowEO9kL2VdYE6YiM4MN5ZYYAEbY/gTACGuCnWtWTEXCXrWXI4iRnUxtC3uCIzrqb0nO8b6GI47yM1BP6hsayKKzInSD+mSTlybZszUZ7ELpgw1ebEiwATVf35pMof/d3t2QIn6CDfV3U8/Kwut7Ocsp9qJe8BFWjz6QyUnAMwbyX7hv/x/ee67fxPJ/ukfx/oDr4d7mE4Ib743qfVazXvOpdrZ6P6Wz6Dbqrumr1DutnnICt6X3D527P2/OH6BYDzfOea6dPDlxxbBDt53FLeByR5kDHOd6NEuBxxM7UyEQmZPSCd7PoopW8+s5KZ5DEhSedWtYd0qnLbw2J0VYf0wKSKUBKdDI+TPTyMFMn2bp1X9sxBhCgHIXhRDfg6u68SBHFGIYZ/+EChFFQ2SoqLTHA07Kb+Iu7tyJUqA8mve0NrSCHW6DFLMF1cUUIoyntAZrNBpFSUBOm0XgLbJi1uFKjojixJUUM5FsCqdJJBRelGzUnqiojMVrSIy4nYF4DR/g3U4+YCLcPi7vWXL16MTV4+snDq0/YeMKUstavZoXr97rbW31kkWZH3hbuRAnEjfK34eRK4WRywk/yErDRKGOaEqDYiiCZpwaoylBY5TP1At6g5w22UCDgpn48ZTNxHptokFOmWyMNFkMMqGuCOXGFLtRfdPOsQG7E+dwdkZyYJCpXVREIlNLNJ1nBEmQaZ6o6Imc1qmc4iayItoRojmh6POwNSSoTqLaBCg21AHlEopgwpbPakAKxQN2XahUKq2JSUFsNc4+5YQQsXVEJk6Ql0uX93kzjWQGqqBG7Mj8hjttnjiqfyZz79/qJ3Y5k2iR4cmPhVphEM/SDHgYUj5mk/yYEtSPU3uUBsW0U4AiQU7lEVSJXj+eFkK+PFSCoEXr3BKhMKYEEG5AVEIoueCNRhWbcVyRkQkA2sxkTiRoSEIs2NpsNB+BhII4AF40pl5AKKYEzZMQL7pLVfW0WLyqLFii1YVuJbGoy8nHnFYSLCmLa3UlM0mNIxatrrGXCMPvksiT+3Y3nJobbPx9+w/f5bYFu2KN8uCljgPL0l82PhLk0pm3iW/3yYXLDg5Egstq6o/9fOLOept79p27ScvejRfn+Mm2jcwHJi/zvxS2QjHUQaqQ+YDTMJ4SGFoLc0C/ClFCSAHmh85CFNiToBYpBfr8BGISbFSnim6bhvK6ncHQTJTXSpyOIsKEdavic32HiPZoy2hpsrK4I9J1ZMXak8sXn5IDiXeHD15YzxWfJbbveV2fbvO4ul5//ORHD4S8S2KJJwk7u72Tl4ST2iQUoIVGIOVmFpJiSrFh/Iyl2K2X01YBYmghVeYyfpzqI4oB/dgYuW4gLxrIK2KekxWtAw1kNo6nSszMI0vQrVVblXjRJIIb8ZglxSgl0ErFFoTqSNAyiULOUrqEYjSoFrsO2I0OWOqWrhuJPZmVstClrCZ6DxH9kd7O86Rd3lm8OVYnh1NbNv1085n2A+2LnwoXd93XcWqA850m+YeLSUegNeS6KjaL7qr54YVbMxcOvbO6IswbA5Hu91AXPeitDmE7eCAIa7K6UMTr9grw4+kCi1tA7yxgppumgrcg+IIotYiKD3Ea0ZCl2PoQnCIyvEZJsTsYXtGdxWuRMLzQAhuipgGJGrNYq2uiMZfb5XToAg7XDbuCPVAdrwoxh+3Ze+15rfb7PX3mCelnP2pNh4OJy5uuZL76J66WG4y3bk9x8klifk4gGzaeb152/vOQtyV2K5lNNjlmfNgUfINF9g4Avkt7EAphEFIehq0A7eiOUiciiSk2Fl6xwxJJ6wzgEzDe+CLUO0a5qOJClFI05fIyq7ocBvbMx8DjdbEOL7AOrweNXcS8OBdJGFQjhhcWZFisrolXsUPndmbt5iMBZ0BSA6zU8eG2H7Wv99u66utaIySWOffxxKGf8e8vjLePfrDFftjsDA31H992bbetpcXBD2NG2DpxRTgk7IYoRvo74BKkRGaiRdrxlAOJtFsFQCsiSjV67K2RdMgAhdjhiyjzeLTdnRFqHlMaEBX4xyQlhkSDSEuQZoFyLs7URdIlWapBVJrRpB7j+JmEpxkPRLkRpuOBKE8w7OUuRH0Xjsd0atikDQy00lwi2eoNPnF6RXVd/bxF09wJmpAUm5t5wq3Vki1VHoOEGrrYOz6boitBbh4ejmJs3bYzZk9DM76lOBbhsjbUn7uqumYmF8dnWU6P1TUxZxBdhnlKiEUEdKBaEi0i2a5pNaonxatQ3aGSkNaeY5k3bV1TH6s0NNac2PnvD51YV7lp8y/jW85t3tRm1t26ILB66DSNbr9y5Hzm8ukf7zv+SmTH5tHh25rco6NbNu3ctWHP5WX7Q45ZcVneV9n1q0fPtt9ZSfYuGdr2zytKfXPDtXME4f7tSwb/oWP3+zs2DQ40LYtw1gX8gt0nH9936MkdLOJsxsd6bR8YwQUDUzKjIZrSovEwKaetBpatCHWrCU+PAUWvZju9kWU7/fVsh08Bc55ePCPqJStmUCOIaDFTJC2plJKPhtFzqG6tFQ9hAq4nNYwpbiepqmYpwKHF0LL5xF6SJx/L9CXjc2qX1USa0c+aGmoXOq/pHS2ai4nW22K1d9WzUzSM0m/HeGmEe26SXa1KkNJiXDR9u9hYbmTFUvOuwE6LPoG1kpSN9VNEHD5xhIRDtMWhaS9egpGrxNHCZEA16i5hVp0Nb0Gqhsngnh6LKbOE8bTLE7olPs2NNRY7EJyI3RWGcVocJbQ2QhNjShVKVaW6blU1SpWoYmSiBtVYJaqxugwnlMmst2w6TpDLGCnPwAllolKAE5w4wVnAep1unFDgZGQBhgNlDo5WJVDdnMAz75YlVl+U2RRLALkCSRGL2QGomCXZzoDFKbBjoZPUYsOOgJ23EgyDUbfLzfwb/TgXHZgHl+jQUjd1aHU5bgcRZiwc7zab7qttKG2+1jW8u/ZExrs72LV89LDruYz3QHBFx9zjLQcyM/bwl+uanXvqujlfoCWxtPsXpyZ+4cCQwtl3Hm5pW/KUVjfxpsoHHj24cFb82m8ZwzdkNa5JCMOYx0ezeZxaYooPK0tzXgGrLJm2KRdj2V1N6kVjLGCkPEVMNx4vqqnIw8iiQtSjR63RFBNOMInXq7uUqNZ8ohX1GGDxpuhrPYoSOgZWBz7sApPAum5WG/Pjb9ANJy/O9Jx64vmM80BoRXvziUVZPaBr75m78uK1ibdUwN4dhxdPAazWBR8L/ZgL88ALDZAyMy+z87lc6GFBtFBNgCLGTlFUXMylMfuxLOgSWbY3M1N7WK0JuRyHUtqcWo6dN67GYVOjEYfC9u7/ct+xDx/gHv/sqdOXHnj15LFjB44df/4IV3uamEYPZa4ePZ25cvAoyTt7IXPhq88uEMvnaJF+zGaDeAZc0DPlHDqjKRMzhTaWlgzg+TqGOFDZDvUwOlzsMDpuHEYWIxxqjNDpWYxQJDyQKV5vZWo2SYqgS0w5lM6vU5gOq+H+F58kXHjGhfaFnnBjYnSQBJn+mlC7z9Su174q5i2+9luXemaPTX7Mp1GfYZZ9ZSavFrXpZNr0aVCbMyNUGqMQVfzG8TSXrd39omJA6aajXiPY+lFKhWeVrkFKa61Or8wO0HRbKr+gTJVcK6vapj7pDJE809mok9XEFZU18ZhbrZpYOoiQmSSbQ9SCkiUETB7FpIjLBsNjS0Kx4Tv6H00subN534nNL3e3H4+0zGjcsG5b/1CV+K9rfv/jjh/W/WZrONS1vLK5MhhoeHa4Z0+j7Ht7uLkj2ZSs8eg7Hm8/elpmVkLUQc0a8MH6XM2BZUbKqNa/+A0ArHJKk2yFSSzMJsTAvnSKIrRwTLEa1axgLWQDVjPardDKyEL2pWMV0/qsmrAiLVbrDg/Cd6l1hzNbcWBAwT/8xsRK46aCOS71hxsq7GZZ6CAdmWNSZSK+3eeb8eodg4P8eJPR6i4tPl6S+WJ44tMj+2YH7a3h2SPPcJeYHddNfiSk0O8C8EIuErhiih6rZZu+EIsDexYLx5wwDz8+OdH/WoRaY2lQB/DDjNCSCPWPKQJ6pF9gcPwMjiAqJrSxxIKCdD0oUElM5xuhCl/Mj6SkfNYv2dFpg+xryJ8ts0wSLUwoUj46R56LuQHokfQEElkduK8jn1pL15FsLR2S1v0hGFzRvuxk6VZiL9hSvEbuaX9jxdNPlHL8V/Or7BMtm3c3tpZyn/vuqJb++Ltm0dO6ZPFdQ2+c4GyoCw5jxHFhOYhQDuwHUbQhw22MKYCVGG8wY2gkVIpgRYjmgTw142U/23VePsQaEiQcSe/4ZHn7zx8lo+szD2zLzOOvdXXZJ85lPiFmbq69q8t5DQQN0z03kRFGcb8A7IU/sxV+H6cLDeBlp74kwnREqwteqtt5pROcstFKtSLVv6bkmf+LWl5D5oxOq7ezD+Qz1jyLXU4hy34OCmqtki2Rwj5sII1RwWKdyS4yhab1BQSUQpf6uZZDZHfX2BmmPGIkOivRsaMUiqvVPAN5bv/vFtadP0JObQjvec7denJDYLY7qi+JtCt1oczqLOZ7f/0u932xq8v6WKY30xB/+5LPqNfuNz/7U/4L9VdYfe8fHwEwJidPTn5k2JH9XXbKdR93GRqvM+T9b/jp9Vsu4T2g//u3vvnSvHfjV6Kpe/T9f+7xbZfwHVavYZsPfcJ/Qi/yPfx86BDSsJX1c6dYNZq9uJdgWJ8POzQbYYfwb+z38ezFPwv9+P4xfgX0a8ywTnjxa0wYzznVCvdBa+6nbsZzmJXYT4JduWk6aMdvFiIYkK4nt+RoAmZSlKM5sBIxR/P4VfNBjhbwa+31HK2B48hlaS1SgF8+nbABhmAlrMW80ortKsS7Vu1dhtwGzDWrMVM+CH6ohJlQgXcl1CI3hHcvzhvGth/tsRrnDGH/dNiozqyEGciFcS0/xFVqww1qPj5rUEZGP4TPCpVqxCfbeUjdLYyr+5Fie69U+U34XIXvNqrcPeqz+yYE/j9BMFViJmUv3rXfivlmburM2/H9AbT1BkS6CvFmsXarKKPqHgxbI77xYE6Ozar0a7G6GEQ5+KwhJ/q+9oup11ky+Sglo7CI6luSCiF725Qm9ms8FdsWUUcrEg+3+ahW7kgC5f3zKC83Uq1/3kvAkzzgZJXX+OeltP05RkBGMz/H6JDhH8kxemR083KMARl9ZZYh1Jhb2cRWNm6bxJUVvmmj3NhGHVhxkKUD9p8A/DfA1mclDQplbmRzdHJlYW0KZW5kb2JqCjE0NSAwIG9iago8PAovTGVuZ3RoIDYzOTEKL0xlbmd0aDEgOTU0MAovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCniclToJeFPHmTPv6b6fTsvyIVnYxpFtYQtZCOEDxTbGKEYRwpVd49jGF4cxYBxCWH/EJa6DHZpkSYxD2GyWpAkfJXSeTGhCUkIO2u12+dJuNu72SNNju1l9SWiSJv3aBeT950k2hvT48vS9N/PPvHnz38fYCCOEdPAQIVRfH71j52NP/A4hrILRrPUb3OX9a+/7JsBLAe7YPNC5EwkXfgAeos1377EbDluSAD8IcFvvzr6BDWfdzwH8vwgxPX2dQ/R9HbwahlbWt31fb3HN5h8hJA4hlHmiv6ezW+75TT7ARpiv6IcBzYOinyOU+zHAS/oH9tzzDZP6IEJ2mMd7tg9u7vyx7b92wPdiMP/KQOc9O/G9+HsIOSg+9h2dAz2Ff6hRA3yS4rBzcGjP9W2oFyHnw3R+5+6enXeFCrQAE5g/tLenq9dUsBFwzF8F8xJKGKXux/0bp2l7+eh9zwnwY5e+iVj2cyaGxEgk9oguw+CxVMtcRr1ME7RKCcuKWIYRoVuu1bXBOoTm4JIgYBWSnmWu2hE+IvDxV8yjFDPEpt5lr4gD6AdoCp1Ap9C30Qz6DnoZvYreQG+BRK6g8+h19BZ6B/0cvYf+GyVg5DN0Deejw+gQOoaeQ9NoOxpFY6gFbUT/jPagregn6LtoH6oVcwQVE2RYR0LhGGm8u4UgZ3UGkbhilS3C2EiL/T8JNpRmlBBcbP8ZUblKCFO8LhKrc7Y4SghbvCXDTmrCMQepaSkhomK61OF03Bt713a5xQbvxa7bPmqxOR1E7IqR+rtbhImWFvieuFjd1lpCJMV8Hn4Adrc/0NZmIwg+Iy3mlwhDNQtDsmI9Z/e7S4i82D5CN3kTPmMnbP5ap52IChoJCscmeiY67bSzwuZwtNgmBCiSguiGihR2OpvOAV9UFtv/QyBHVWx3E6mrLWa3r3HWd261x+zdXalP0PfUdGfY2j5hXzNR3+mcsE84he2c9OOkBt4E+ugAqemhAKzRCDtVzmY4HDb77ASwARatBWw2pnFzCK9pi5322fTmTnts3Qabg+CW2AQQtNY54bRPrJ1wdtIFqSW0KSE6KgY94M1RAmhHfwsBE7Rxdm7tWEwJXWooBiImxinbGrudE1JiD8dW2S7CjLF4BtXgmmAQr3tRhzYj4Ulf3hijz0jM2QXYO4M2aLAzCJyvicTioJ+3bw7GsR1DQ+ybibUna34vUzGBUeALPEoElUZ4bg6BjSHX3/3dlf6dRZ/iWvwyo4XfIebf2A72ZyLrF37b/uqP0J+49G/8npcYJB2SH0hLpPfJNsimZW/LC+RflX9d/okioDis+FzxubJC+bxKp2pXtavvFLwAVv17wyc7Cu/Srvoc5crQgh9It3MnkkjqkeqpX0NM2tQZVAuPbvFGsGcpKuUxcq+KS0XFH5XzEvEvVsVZBrqIZ+mwmA7HpZKSa6vimI57OAeX7+ActYw9uQRPJ/vFG//vW7XgYzDqSE7it3EheNJliIjcvEKTwIRzE3b2rFqH1olccVatcM0gVip38XrsQrxCxOmJ2r+szFKFvc68Au/yCk+52WSUSDu6BvSBTW3BaNuzxz4rPNgUqg+uPzA0/YsKwD4y9z77fbEbKVEuCqK4HGTIc/IEsbl5Vg5bgv6hWV5lShCVjjdjFy8xJ3gHtGYVp+flrN+PeBsHXQnyw94Gnd5Trud0jDOPMRhzGE95FeNdXgqghol8dPnylSuXL3/0a4c/7HaHV9rtK2nrdzCP4BCOJE8nzyXPJk/gu/C6yVf2ejx7X5k89PKQ2z10nuoY+Gf2pNiCVOgOFKe6xmNlgijKKXfEogSRuTFRuwkzyyu0ibiCAe7UKFRyV5xR0C6D5PQpAnZpAH0FA9yS+dGyMo/XwTm9VdgH0jBN47zfdx2uIhi9xsaO6JfnXz31GuwNMmYvAJdy0e0orqd769gEyQIeKVI8ss7yMnMibpXRrawG2MRBZaLTA2fURr+fZHEzSGbNXWKhTKrCnvIcxmTUMFLoOkwObxXrXV7gzJNIa1svjLdPbwuERk93ePa6cfW1h8d/fiwy2B8a8Yp6O7b4txxpbY5/52KfSPmDQwff/e4za/vvbV5F+VMGkjwLOLpRP4qXUBxFwB+Vm1dLEiTDTUxuPotiuww8yiy/VJsgevssxzu0Cb4MGCKlqC7Jp/IUlQBvkJ+oOB4vBdzVqQmSwfF6h9/PZ5lg3gqEVOMcoKRCELBXkLRAQ+E8fRKpKQdTMkEdy3YFpru2fj0/9uiOjtGws6+1aSSwL/rqnvbjg5X7tg4/vmbk2fan3nnqaCDav8kT8eeezlnRVBJpq/U90thaEhuNDB4pkuU+M9o62bF8G+gtZBDs70AbFMiI2lJ6S5CbSDy8ErRXVE4YUAeTm8hniaqcl4H+suVxmZyKRyYBpZALkpKDUghaLZMD9TqOUq9EQB32E4YjOiosL3ZwHpOTc1JTXV7hc2qwNJ8RYevTT/8yeQo3S8Ry6/JsHH6KLbz2+3NJgsPncKH/uN/T5QU8W0Eql0EqeagUbUHxHCqXAlmCFLt5o0QQj1gJQnELZsYZE8RZTjgdXwQ4WY0Jfhm0RWBeMyqxMQeUh1g5Xi6jaBYXAMbICmIxcoQDYemJ3E8g6sso0sv1VAZmi7QUU9OT3tA4Z14p40uLjUqrtfnwS917TwUOOHeuqhy4c7nIf6wherjHF9wxFe04PRr6tf5rHZFd27p8+5nuC1h7OtJc+bBrRfnOl8YbImU9R/u6ntxRFTr+6ZIzTxy4Z3iolmpiK8jmEshGg+oWJMNjFsjUUoHwMrDPtCjYm0WhS4uCKIBCTAXBCiJwmCQKRuqsyMQVvlZ229DhiFP2sawkevAuUfj7Dx+eQ8nPkj+6cAY7sORPB8ETR9NerRB5wWK3o7iT8t0FDF/t5jUSwKRWYPhSfYLIqRVUGBJkqY6vgv0NXIKU0rEcU4Kvg4GKpdS9iYHTVdyM0+XRUDmU6nlrBpXDahenfwHJDTmeQMq4l1cxPm8p9kK7YOWmHHaB90Zz2mQKNZi6SOquBUlEC1dH3aH+Vf3/uCH2jW5vTllNbkmkKr9m6OnNHSf21L412d2+ryy6O1gZDhQ1tPu8K7o3hXpxU2VPZLVV5n20P3ygtczTNhoui4VqzDJrdaRvdWi0o6Ki/WB/13BfmzcUKLOV7GecZY2+ZUbvYFXzzjYav0LAq1duaKiWcsoMniPHzRdIBEUVyxY01Ek1VMfbsIsUlfOKtIY6QVK83gAcsnEzWrOYairizVqQn95Pcjhi8JMCPbH5STHHK1KBYoE9jAZUtKBQ0ElgHYXmueSj2isJrR58LNr+/Oi66OHzPcPfWnUgf1egciDiEfmPr4k+2O376UCXb8SrH7srvJsd63pyMBB64uNnLiQ/ORNprnrI5Svb9eJ4w/qy7une4T11kdPHDwDNo3Pv4zj7W4h6FuRJ6ehZVoPUIhf4jLNaoYep00SC+5DYwFkKDW8Ft76szDcfWwFzblF/NBYMbmxeHYzNt+P1ra31cLNMukPto3vufVGvOArRpBLFbZTfRnUiLmago1IvxFzOmkgFEaMN+JhB3XEcyS1+4LJY/xet3GTUU6ZZBBZiprvz5K9H979eM+YZbooe6vF9/1TrmH8s8qMDo798+i7m2DNYdLa9t/aIJ3D7yAs7f5e8Wl/9SHvPVwlmqFacgoprK1QmGmSmeQGNt3GGSanGWbUWMWoXr6aeyyIgq4Fwoi0nGh3NRXipJcFnUNQFFZACqhBb07bgwlbssYPGu/Ap/Mbg+fE77pg4v/2d13HhkUdfFweKup7cM/jMdk/SyJz67EAHcKsJuKUHbnmgtomXCXENuGWhuORQbi13E/0sDWPEoeOlsHsxMM4LrYNGNA0Gfkm5F0RqS05hGbXcYn080wZhjQa6slSgy+FmsN5WTGctepJ5c2Rz41I2ZcxpRktMYLW5eN6kC5omG15sG9qb6wuVvFjW2eSu3fvNzcM/veOe4GRzx5Az0FR0LrB5TdHqkfiu8WunT9RG25uKVrqWGMLGqubdjeFDff62pmlvVbSx0Ody6kLW1c271kYe3l7TB1LYCrb5rEiCbODJxlDcSKVgpSzIlSfiWgwdGYiDdVq1IA5WBNxYKogjywzZiQ6qLxeEPd4AvDHoeCM4NqNbCC1Z1GCVKmBNHheXaa1UqYx6Ygae5BphymSGASdUkH5exgKPlH6i5YhK0Lkl+UI+lw7zZhPnLHQKJpy2Wa+G3Ypt2Gt01XpCh4PN0bf2XXjpNb2k9vHWsef+J1xd2efrnYzmY80J4ixs8OWuLHrS2/Te29dPD/rXn5iurfR7f6O6zbMaqJ8CybvEz4IG5kHhktJBjlKfqUrEpZR6uypBMAR6p0C1xZIgTDlv1iWIRcdnA50qUIUl0FrMQITRT7I5XioE+UyUGrBTqohUT0SCknq4myJlQaFTuihWSqc+kFRPNbUf6fM23H08Wn+4RmIs824p6R7vHdo6JH42OXnSV98w9srw6A8nG4OVvUl3/pnT0yd3UZunEekgSDKb2rwgQr0SbJ4SoaJmlCNQoAV8c6nh6K0cFUfK5k032fzNmmi+YfFMNDJ5rqfrkeW7iiLu/Ucf21u5pair4XRzb/xgI/7jyJvjDbeXP+Ys/M7j0+c8zqnqYP34JWrpMcDsCnDZCDXfNhRXUy4LKW6GKo1gDnBZAVx2CDiarAli0vGZoFuycl6lFSoDNeiW2k0Vjs+E7JAX62neyBEt8DpDTe1Q6xciAfoCJYXA9bQKpdy+jxNoizXsfTzSvDcg+/ANndx3JHLhV58N79jV5e3xdI3jP+5/c7wx4PkXPPB/rQO+9dh07ZlTu/A77vzTQBHl9RuC1eShTShuEfJ1eZoYuzxxNkttEYPBZFGDAdXJhpJBn4hnC3VCNs1DqM4osjl9XGUwCp5CZ0npi1qIZVn6L0QxqUPQk3lR+BypkN40ejLWe7y/Qnl9VPfk/uDOFeEG0tH/wnjot/jVnv7WNCF1B/j++qJDRwrzjrirGsbf+Mm+8VHQGR+I55L4ArKiGIpnCB4YKCAGD29VgAzKic7Ny2hKn+kmGbNU9S00qy+PWzIoJRYTJFcZFtrNoETZhIqE1j2g8jIOjJqmVr4F3wYIO/OycSrX9Y3nR0ZavZ3OEm8Fwxy4dOlD1kOU/U1jHV6jhmSc2v7ytcusBxI9FEnWilTAbR9ke3eif0VxA2XzenEibqYdqzRBPG4+ABVa0M3fBog73PxayvmIm2hm+XrIKArLCaIZ1wrQonpw4tBI3bQXor5Kn5ipygrJXHwplJ4bYGSFFCTDKpQgGT5Uz+lrFGbHkttcnsDqWgP4cD6rSqhPSCnHZ1io9IIBWFCKVlA7uo2Ls6Ja2nPoeWkhtGu5uFKxhI5Y9TOarPqQkMdZINUX0riKG9mc2eIwORcqGsjfwP4CmAb/m3M7iG15hRLDPASKEGmsK/TUujzh1QMPhYtCOXjLi1Z7oG8y7KhzWjLXtM2cO7/uwe/tbz02WH3p0L79j7U1H4qsuMPf29jQ293Y2HuuesAls95ZFejMkRVOtDaPt7k1im9nf8UbPdBcqtYYi5yusuGDjQfbffZgV09tqCMYKNIGmPe7tvRvbu/vBV2aAlF9LFh5XcqTEqUn5UNpJYtTxRJYt1HwocSo41XAaSUUh7Q8UhmFOI54qY67xVfSAMCl6j5u6gNZ9bH+E49+2BgNbq6hDvH1QNtbF68fYmIjvdVV14PU3+wHd/ik+BTkXlq0CsVVVK/VVK/lUE7TUw6dgAhNtuCeUUkQiF4LGQUHiGgXTh2o8d1IvAyAzv5IdfWGDdXVEdsHYmcgFAoEGtdetbJXrukRM3ci2YpPwK4ceOAGFJfRDbVuXqQQjjpMmpQLlgqHBzMmqV4D/s8mOGNeIaUR0SYkDNpUwgDWg4EJbDo4wOYplViMUnuJ0WWpdX/kWLc/5rvz1Whl9caN1ZXR5DCRKDfFRPlX3wuP9/h0kpfSqKKUlETZICUVWpaWkswjuC1BQurUWUwqymmoNYtpHGcV/rRAPNghhxoIBPG+BA9jJnkS74faKPmk+Nlr+/Bbyd7rp/HZs3PCTpAB/wl20kAWKsiAlyhTeqAVdmGB4Toh16WsBU1eiX0WiTSvYOoDh16m1eS6mw70Ykb0zNWwyykiRjydxl/iBV/gQLvSZzSc1eOJY6BAUDai9vA5oG/mckzyhH0csA/DCblbJq15gThrKonkQPecNI1jBJUjmRxoIJgo1IZEzxE1rRBzqCMQAf0pBlg8qXz4Jr2ULrRTr+vk1VPtg2N5Dcc7njr6UaipffiDULh9mL0yUdve3tzUO6+rI9eD6QbN2w5QZUThG7azQBM1oEXWI1Bzi/kY0ySoOMGIsI5KTXQz0ovNCPCs/acFO2KvPBBsv9WKIMaJdICTAeRXm67aLPMZRbZyoYowWgVsKG9Bs4WTu0ya4WnFVJ+zIax9IZTd4suEMDZ2ur39zP3r199/pr399FjTpyM7Bg8cGBz8h1Re0TD+5sjIpfF6yChGps+dmz527hzFcSo5JHIBjjR/60E3UrcbrKP5G1rI38wgfEu5wEDzzfmbOc3AG/kbtzh/w/PsNMyz80YGZ7HixRkcVYHj0fZHUilc8GClxNeXTuCSQ+L927xNDeM0gTvUuNJ7MnmJmVyUw1E9QEAPN+9DBUqIPO1I1bQa0adqt5Qe8AaqxyncEa9GwsEGwdytwk9ncynJe4+GG1xFthJ74H43e2Wma4vxskzWNnT9WPqMj9qXG/XOn/HJEnEj3d0mS53tcbP04ILkpGqhpabU6V4OlzrUopWQ0mhbUkJrnaV63pKx+MAPqnfMZSylc1ANWG6ugwppGVRxcxVkWSiCygZr72+KNOVXNhWW9a1ffulU/8mqAe9AILQmb2Voqacv6vF0Pdre/8Oho97A7d5cd36uTl9et6l67GSj+6FCd4079zZHtka/rK6nLrgzWh6m/C6aex/yH4Qy0J70qatSkUi7Qw/NfAgqj4uF0yMxPUiCwhWqdqubWGZ5uZaeAsblQvojl8KsRThxskAmROQ6ngUlY92CXbA0t2PoyR8UjJCxUu+uSeVGBnom7OCMizI7L1d0POsSRnPosM1nKSraEojtCzlpcoT1ySsvJx1EpTijsVR0jEXwe5SKSZDZu+wV8B7Ni7NrCZsyBKLwzHsPFnBmdbycKr5lcVpNfYicTZ2mpJNqyXxSveCgAcUbmXTB5IeNdwa7V35w0SAJPg6uBO9l9l4/OdIXXMvw1/RHmtrfEs6MERL/EHBz4EEUdwg+xA7+GlGFUho9nnkvjQEzDBUk4GEyCm6ZVGSer/rxHy4ik0tB7KUaknWRl9j/TOQXz7/2549X0mExscC47SKvlf1ZTJQXz1d9/dMNMKEkEt2MVCI3uGZk9Hn+tXc/fl4YV+pmVEotjKuFp4Y+iU03k2GzAGgVnpn0eb6q55PXhCV23Uy2PQvGc4RnLn3G4eP0b1tOiYYDjsn8cRimvWwoQfxx2GLRrNoPwo7DtymQ6ScZflSjk8hV2gxbVq5UptZYM7NzSm+5cI1BIleqtBb6kv2vvQUXqcnEwDaQldlBLQ05QIpiKjSPIQdT6/ct7mEHW4qpBKWso+zKPp1ZK9Pk6u//yZjeoZNprNp970I4f39Ylw1QNrc7+Ql75frnDQ+tbXxoDaO80bumx+80HA6HH2pIlqT+wi09e11Mn3Mn5t6UelJ/8150bWI+pH/juPnCT9868rcvxoM6FsOiTBSBexruWrjL4M5Pj7em7yjcIVg3+ve+LXoCdX85bGDNK/QUK91vQ01fdr2wzo22ig6iKTYOuB5EMZEGRZlDyCdaCrTdjaaYDLSfyZw7ISqBvgtNSS6gKdG9cHcL70/RbzBXYf1uVMb8FhWJdqNJOia+CrZHpbAJbUBiYSsGYAZiJf1z6mB6eylqhZCDRXLoG/G96T5Gy3Bjus8gDV6V7rNA45V0X4Rq0Jl0X4y+horTfQn0EOw5iIbRbrQZ4vIG1Il2oCHIbXbDaAnAPWgAbUFdAG0HrjcDvBvmtwC8A9kB71LITr1wB2DNBhj5y28sE97oh7E9sA+duXthrhSqRTo7AHtvg9X0nV4Y3S7sWw49r3D7ha8sxta+gK89jbH9CxjbUQRG+mDNdnh3900YrwY9D0L8DnwpHqTWrRdW3vztL4vbBqB0N7y1Bb7RD307jKb/E+R6P/2/lS9eL+K5MYIPo3VEFo7xGH+jha+n/+1AdC3riDECnftasonE1RZDhLXXEdZVS1T2ujj7XcYlAEoAVNvSgAIA5VfSgBwAxYo0ILPXnUdyLEVpWAqTstI0IAFAuiQNiAGQTKYBEQDizDSgpvu+kgY0AKgtKQDqijRqFhjVvs1A3K2/G0AzgJaRBdAEoDmyABoBNK1YAA0AGpctgHoADYULIAegPncB1AHImRfADEqe9sAcWhixwgsZry2AmQBaWxdAG4CZpnmwhRhdVBh4404TeLH/B6GMh+INCmVuZHN0cmVhbQplbmRvYmoKMTQ2IDAgb2JqCjw8Ci9TdGVtViAxMTcKL0ZvbnROYW1lIC9MV0FUWU0rQ01CWDkKL0ZvbnRGaWxlIDE2OSAwIFIKL0ZsYWdzIDMyCi9NYXhXaWR0aCAxMzE1Ci9EZXNjZW50IC0yNTAKL0ZvbnRCQm94IFstODkgLTI4MSAxMjI2IDc4MV0KL0FzY2VudCA3NTAKL0NhcEhlaWdodCA2NjcKL1hIZWlnaHQgNTAwCi9UeXBlIC9Gb250RGVzY3JpcHRvcgovSXRhbGljQW5nbGUgMAovU3RlbUggNDkKPj4KZW5kb2JqCjE0NyAwIG9iago8PAovU3RlbVYgMTQwCi9Gb250TmFtZSAvWFFXR09OK05pbWJ1c1JvbU5vOUwtTWVkaQovRm9udEZpbGUgMTcwIDAgUgovRmxhZ3MgMzIKL01heFdpZHRoIDEyMzAKL0Rlc2NlbnQgLTM0MQovRm9udEJCb3ggWy0xOTkgLTM3MiAxMDMxIDk5MV0KL0FzY2VudCA5NjAKL0NhcEhlaWdodCA4NTMKL1hIZWlnaHQgNjQwCi9UeXBlIC9Gb250RGVzY3JpcHRvcgovSXRhbGljQW5nbGUgMAovU3RlbUggMzMKPj4KZW5kb2JqCjE0OCAwIG9iago8PAovU3RlbVYgODUKL0ZvbnROYW1lIC9IVUtOTVErTmltYnVzUm9tTm85TC1SZWd1Ci9Gb250RmlsZSAxNzEgMCBSCi9GbGFncyAzMgovTWF4V2lkdGggMTIzMAovRGVzY2VudCAtMjgxCi9Gb250QkJveCBbLTE5OSAtMzEyIDEwMzEgOTU1XQovQXNjZW50IDkyNAovQ2FwSGVpZ2h0IDgyMQovWEhlaWdodCA2MTYKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9JdGFsaWNBbmdsZSAwCi9TdGVtSCAzMAo+PgplbmRvYmoKMTQ5IDAgb2JqCjw8Ci9TdGVtViA3NAovRm9udE5hbWUgL0pSUlZYTitDTVI5Ci9Gb250RmlsZSAxNzIgMCBSCi9GbGFncyA0Ci9NYXhXaWR0aCAxMTM3Ci9EZXNjZW50IC0yNTAKL0ZvbnRCQm94IFstNzAgLTI4MSAxMDY3IDc4MV0KL0FzY2VudCA3NTAKL0NhcEhlaWdodCA2NjcKL1hIZWlnaHQgNTAwCi9UeXBlIC9Gb250RGVzY3JpcHRvcgovSXRhbGljQW5nbGUgMAovU3RlbUggMzEKPj4KZW5kb2JqCjE1MCAwIG9iago8PAovTGVuZ3RoIDEyNzMKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp42o3Yy2ocVxRG4bmeoofOwEinzh1EQXAwaJALUfIA5yoEUatpyQO9ff4qu72C44EHW7C7VY2+dVSD6usPd7/cHR9fD9d/nJ/b/Xg9zMdjP4+X50/nNg51PDwer8xy6I/t9cu2/2xP5XR1rYvv315ex9PdcT4fbm+vDofrP/X2y+v57fDu5/5cx0/ba7+f+zg/Hh8O7/7+cL+/cv/pdPpnPI3j6+Hmal0PfUx93K/l9Ft5Gofr/dL3d13vP76+vddV/MZfb6dxWPbdfP6T2nMfL6fSxrkcH8bV7c3Nevvx43o1jv2bt/zN5yvq/M+vbrPcLGHVatZ9Luuy7nNZ7brPZXXrPpfVr/tc1rDuc1njus9lTes+lzWv+1zWsu5zWeu6z2Vt6z6Xta/7XNax7nNZ57rPl9XIavAaWQ1eI6vBa2Q1eI2sBq+R1eA1shq8RlaD18hq8BpZDV4jq8FrZDV4jawGr5HV4DWyGrxGVoN32a2smwbRsmkQLZsG0bJpEC2bBtGyaRAtmwbRsmkQLZsG0bJpEC2bBtGyaRAtmwaRlcYisjo9ywlanZ7lBK2s9qtX98PlH/9/N4JVBksKqwyWFFYZLCmsMlhSWGWwpLDKYElhlcGSwiqDJYVVBksKqwyWFFYZLCmsMlhSOGVwpHDK4EjhlMGRwimD4+idrA6vk9XhdbI6vE5Wh9fJ6vA6WR1eJ6vD62R1eJ2sDq+T1eF1sjq8TlaH18vq8XpZPV4vq8frZfV4vawer5fV4/WyerxeVo/Xy+rxelk9Xi+rx+tl9Xi9rB6vl9Xj9bJ6vF5WjzfIGvAGWQPeIGvAG2QNeIOsAW+QNfgfuRGCMgRSBGUIpAjKEEgRlCGQIihDIEVQhkCKoAyBFEEZAimCMgRSBGUIpIjKEEkRlSGSIipDJEVUhkiKqAyRFFEZIkcfZY14o6wRb5Q14o2yRrxR1og3yhrxRlkj3ihrxBtljXijrBFvkjXhTbImvEnWhDfJmvAmWRPeJGvCm2RNeJOsCW+SNeFNsia8SdaEN8ma8CZZE94ka8KbZE14k6wJb5Y1482yZrxZ1ow3y5rxZlkz3ixrxptlzXizrDn+yI2QlSGTIitDJkVWhkyKrAyZFFkZMimyMmRSZGXIpMjKkElRlKGQoihDIUVRhkKKogyFFEUZCimKMhRSFGUopCjKUDj6ImvBW2QteIusBW+RteAtsha8RdaCt8ha8BZZC94qa8VbZa14q6wVb5W14q2yVrxV1oq3ylrxVlkr3iprxVtlrXirrBVvlbXirbJWvFXWirfKWvFWWSveJmvD22RteJusDW+TteFtsja8TdaGt8na8DZZG94ma8PbZG35R26EpgyNFE0ZGimaMjRSNGVopGjK0EjRlKGRoitDJ0VXhk6KrgydFF0ZOim6MnRSdGXopOjK0EnRlaGToitDJ0VXhs7Rd1k73i5rx9tl7Xi7rB1vl7Xj7bJ2vEPWgXfIOvAOWQfeIevAO2QdeIesA++QdeAdsg68Q9aBd8g68A5ZB94h68A7ZB14h6wD75B14B2yDrxT1ol3yjrxTlkn3inrxDtlnXinrBPvlHXinbJOvFPWiXfKOvFOWSfeKeus37kR3Df3wVSFSYmpCpMSUxUmJaYqzPmdT90eyrcvD74+7LdP57Oe8/dvGPYH/O3R/vE4vn4JcXo+bVft8y92z/ErDQplbmRzdHJlYW0KZW5kb2JqCjE1MSAwIG9iago8PAovRGlmZmVyZW5jZXMgWzMzIC9mZmkgL2ZmXQovVHlwZSAvRW5jb2RpbmcKPj4KZW5kb2JqCjE1MiAwIG9iago8PAovU3RlbVYgMTQxCi9Gb250TmFtZSAvSE1HWkNEK05pbWJ1c1NhbkwtQm9sZAovRm9udEZpbGUgMTczIDAgUgovRmxhZ3MgMzIKL01heFdpZHRoIDEyMzgKL0Rlc2NlbnQgLTMwNwovRm9udEJCb3ggWy0yMDQgLTMzOCAxMDM0IDk4MF0KL0FzY2VudCA5NDkKL0NhcEhlaWdodCA4NDQKL1hIZWlnaHQgNjMzCi9UeXBlIC9Gb250RGVzY3JpcHRvcgovSXRhbGljQW5nbGUgMAovU3RlbUggMTE4Cj4+CmVuZG9iagoxNTMgMCBvYmoKPDwKL1N0ZW1WIDcwCi9Gb250TmFtZSAvVlpDRlBKK0NNVEk5Ci9Gb250RmlsZSAxNzQgMCBSCi9GbGFncyA2OAovTWF4V2lkdGggMTI0NQovRGVzY2VudCAtMjUwCi9Gb250QkJveCBbLTY2IC0yODEgMTE3OSA3ODFdCi9Bc2NlbnQgNzUwCi9DYXBIZWlnaHQgNjY3Ci9YSGVpZ2h0IDUwMAovVHlwZSAvRm9udERlc2NyaXB0b3IKL0l0YWxpY0FuZ2xlIC0xNC4wNAovU3RlbUggMzEKPj4KZW5kb2JqCjE1NCAwIG9iago8PAovU3RlbVYgODUKL0ZvbnROYW1lIC9GQklDUk4rTmltYnVzU2FuTC1SZWd1Ci9Gb250RmlsZSAxNzUgMCBSCi9GbGFncyAzMgovTWF4V2lkdGggMTIzNwovRGVzY2VudCAtMjg1Ci9Gb250QkJveCBbLTIwNSAtMzE2IDEwMzIgOTg0XQovQXNjZW50IDk1MwovQ2FwSGVpZ2h0IDg0NwovWEhlaWdodCA2MzUKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9JdGFsaWNBbmdsZSAwCi9TdGVtSCA3OAo+PgplbmRvYmoKMTU1IDAgb2JqCjw8Ci9MZW5ndGggNDgzMDQKL0ZpbHRlciAvRmxhdGVEZWNvZGUKL0xlbmd0aDEgNzAwMDcKPj4Kc3RyZWFtDQpIidxWaVRURxb+btV73S0ibriARptWUcEFMCpGx7gbJ+57EhEREEQRUBBUVNwxinHFfdcoroyCUUeM4q5sLnFBbVBH0UwUzDnRnpDuN5fGTJwz5Bx/T91zX72qenXvre9+dc8DAaiCBEgMHDCktc/NqUl9eOYB6/DA8IDIps6WDIB8APVN4NRo4wyPzfyub8bjxHGRIeGxTVN+ARxTeZwaMnHauB1FT68DNcYAmb6hwQFBmUt9LwK31rG9dqE8USVDXcXjHB43Dg2PjqseMJBfb/0MyMsTIwIDsnw2HgXunmSfz8ID4iIVacgD8rfxR8ZJAeHBb0uK6/H4DNAiMjJiSnRCk6xRIL0XIHwjJwdHxmTePgOqFAoYqoJkIi2HyrFtUNuwxXrlvbyOcaKGQRWVdYooawrvXoT3Wr+ISRHoAmOpUG/aBlEbfWc60gXYWnCnS9myLFf5Mcj+eX0e8Rs1ZtXh3ST3gh8C/914USqqTm+o5FDZsYpT1WrVa9R0rlW7Tl0X13r1P2rQ0OhmatS4iXvTZs09PFu0bNXay9unzcdt27X37fBJx05/6fxpl67duvfo2av3Z33++nnffv0HDBw0eMjQYcNHjPziy69G+Y32HxOAsYFBweNCQseHTZgYPikiMmrylOiYqbFx06bPiJ85a3bCnLnz5i9YuChx8ddLliYt+2b5ipWrVq9JXrtu/YaNmzZv2bpt+46du3Z/u2dvyr798sDBQ4dT/3bkaFr6se+Onzj591MZp78/czbz3PkLFy9dvnL1WlZ2Tm4ert+4eeuH23fu3su//+ChuYBPqQgnfvZiDFXoMAsaedMQCqA4WikuiSviodHZ6GpsYDQZ3Y1exk+MPYwH3Exu7iZh0pmqmqqbXE0NTJ6mz0xjTMFNrpaIUqFpZQzANrYzmMbY7VxkO3eNNY11jfWNRrudDv9jx+U/doLYDpWSpmlPAG2X5qclaN00Z8BWFSjcUp6cwgWFawrnF8YWVisIK5hmTjbvMC8xJwLmaHOU2d/c2uyV/6raafW0PcU93suqpVwJpJABFbc3FcxJ7MR8LMBrJOMxFmIZlmAzUrAL1fA1SjAPq/BP/IQkrEUiMvle/ogt2IdXeIli7MABXMZFHMRYBGI5gnAVwbiEK8jBNWQhG08wDteRizwcQgheYAVu4QZuIhRPUYTFCMN4TEA4JmIStiECUYjEZExBDKIxFbH4B+IwHdMwAzMRj++wHbM5mwmYg2d4jhO4jQLcQz7uw4w7eIh0HMM5HEUazmMuzmIRx7zbzodMfkba+eAFB644FXBCKtJRVpXVpbOsJ5vJVtJb+spusud7XGn+IWyxjLVMsMRYplviLbPfMacSHCtij4TU2T3WZI+NZEvp9c7jH6xq9iG8soyxhFki7R5nlXGsLLUV8cz6s/W1tdj6yvrSWmQttD6w3rf+YM2yXv2Df6wfwEBDqiHFsNuw3bDNsNXOxrKswa6/lxn3cv2zRrXJlRpwb6xw1enPd77j7e/y/87fsjMyh9WTcGF1VffARXFHXc5tEevzst42Xntetl7Wix8ZnePvFNiLgzSez/c9MqmEdx1mn2l85jpcPTZxRKvZgw5f8sxiDGZReX41uWhpaM2xStZs/nYEx3wStamu9oLjXyBv8q4FfIdM6IqBfOok6qvFYBQKlHloj76MRSQlaCO1ZdpKbRffvxPysmZFZbgyyoHI1l6pd7UHaMk71mA9CmhlpXS+mSMYlxNyM+O3QfoppIVov3IEboxiNhT0QzadEZ5sPRhFVJfiZXe2slNL1c7zV/XhxznZgJPUlnoLN3WU1k/LRm32EcdW1+MI43qMMclAPjmqJXwvSuCCFujD50lDDp2RNusc26eMmMooNUcHXonAaeZCHjWisyJCdVR91C7qdO0WnOGNYRztHt75jN6KWSyz5UWll9YNTozLijK0cQGPmOGtaQANF81FhNgiJ8PAHr1Zgpg1i7GOrZvJk44JR5Erdyr7lVLdR7ZCzYkz4o6NzOOzVIVPaqQpNJdu0xPRXfiLjeKxXK2kKDf0AXzq0cy9JOzHW6pBvjSIvqJQiqdFtILWUzbl0XPRVQwVE0SxDJVRMkPpxjJEmaLMUxeqS3TPbSNt523XbW81H20hBjEf5nD0a/iGpDFPcpmZ95ifj0mlyuTEYiQ3GkYzWGZREu2gvZRCaewljx7TC/qZfqFSwT8cQifqCTfBxUo0EpNFrFgtNolcljzxk/iXrCNN0lO2lZ3kFzKCo1okl7Oky0eKq5KraIyzj5qsblX3qvvVTLVE56ifa4Ah67edVg+r2QZboi3ZdsSWpj1CLc6hK6PQEJ04+gCWMM53MjPuMG6SI2PnSh7UmfoyMv4URlFceefSfNpAu+2xH6JTjNIdKuaYq4j69phbibaimxjAMloEiyixXKwUaeK2+FXqZWWu1bWkh+wt/WSwjJbTZLJMlVnyoXws38jfWDTFQWmomBR3xVPprfgrMcoWpUgpUkep19SnOgdduG6h7rjutb6dvrN+oH6Q3k//jf6Y/pZhjP3ep3OFeL8KFso5sqdMxzLRRnEROSKH+eyPINlPMFPFXkoUMylNNFbjdB1FR+qPEsWdsb4otoo3oqPsR5/TEIQJ73JrOmdlH3edlHN4qZzis+Ww5TidI80SxTpHHCGIDuzzgvRSPOU15MsC0ivbcV9xoDr0UuyRA5kFGUpndSTc5CYcklE0E+miJ+BQaljKPO5P+7guDCUfskgNUvRnFrWXT7gGTxB3ud7GcgVeS0FKCFfpNhTP9fNbvhXN1Uk6D12tfzNebLFNZNf7mBnH49c4fowTJ2SGwQ5k7MR5OHaCSwYcR7DZNDwCsSmuHCAlZCstiMKK3UUEqausBvYhFbZ0papddaWKVWknhAWT9gOttkUtpVSlP/0o5cPqqlKzywfbIpU4PWObQPaj6jzOPa8799xzzzl3Lv4tOczoxIOvIsJcgtn14XWYsl70XZyn73NfkL9ATb3L8Og+/RlYf5f8nI4wD9mdeAoy4BRU/qPLZ9BJNsv8CR9CFO9BIeYBVLfXaRcjQ3saqso+qGnXILsXoA5spiPACUDkvAhxsRsqxPtwX4Q6wUAEHYYcH4cq9gd0lRsjRXSIdWKoOvAbcVvbvFkb2PS11Mb+vmQi3tPd1RnraI9G1LYN61vDoXXKWllqWdPcFGxsCIh+n9dT7xZcTofdxlvrLBzLUIJRJKMMFSQjXDCYsLJ1a9SklQlgTDzHKBgSsIZW6xhSoaImrdbUQPNbX9HUqpraiiYWpBRKRSNSRpGMO4OKVMR7d2QBf2tQyUnGYgUfqeDvVnAH4LIMHaRMYGpQMnBByhhDJ6b0TGEQPjdn49NKepKPRtAcbwPUBpghKkfmsLgJVxAiZvrnCKpzgFFGozKYMRqUQdMCg4YyEweN7TuymcGgLOeiEQOnDyj7DaRsMVxqRQWlK8MYXNqwVIaRDpuzQWeluchN/VxRQPsLqv2gcnBiX9agEzlzDLcK4w4a4qulwDMSPl6fzs4+Lw1SPRM4LJmkrs9Kxo93ZJ+XyibM5eAb0JeEhgr6EAx9Dpw4vEuC0cgbuayB34AhJXMm5qyq85tUMianMC0ZVmWLMqVPF2BpGnUD7TwpX2ls1G4sP0CNGUkfyyqyMRBUchODTXNepO88Od+gSQ2rJdHInOCuOnbO6aohdsfzyOSKrIJV1E1seOeKZ7FpkbINAsKQDkhgSVaBOSVNMJlE+oEkqMGVw9DLOAgrctiwpgu60G/yzf4GGxIUSf8SQQQoi/9czZmocbiQ8CUyUTNOVkIN5E9xQ1WNtjYzRCxpWFOwcVOFjkcjJ4pEUY4IEjTgPrQdfDuR6+8A98uyucBnixraD4QxsyNbpSW0P3gFaR1qziAFU3LzqcS325TMPJWsdC8oEMlXK8cmn1EXXnlcgt+Tmeo3sP9/iCer8uFdyvCOvVkpoxdqvh0eW0VV5ckVWQ0zPOksDZIaRoK0IoWg3LeibBJZu8GE4OEqQX2waKmDqKxwsDRkCIWtVZjjZfn/7FRcfmj2qjTPutXMNPrV1fTGVfQq8+w6BYNhcxke26vr/CoZhFp1wG21BiIejWVlKW2g3ZCZIXiKyzeT5psLGhq4LG0qQPxVWTVylWKwhufgMqMzGhmCQqfrQ4o0pBf0ieLyzH5FEhT9BvmEfKIfyRSeBk5xeeFs0Bg6lwNfTeH+KCK48lPHmmcGC9pyleASZymSH2gexDIlingLU8KooY5jS4T+CjZLK/w6taOAKvwrtZT6uvAoNbKUQgOAC08AdMZkt+wOAcCwVTyR6M0nGov+gyTmJmxayIAd9B34F2fhxDc+18QWyS+0cF2KI4jjbbeptZ9NMimU5PoxTREiYYxv87ztjPzBxYCqwmD51IiwKJRKS6WS8DkaGBgRlv4+vCs7zzIIYyElpHKdMQ91d7spjXf7Pkv8recnd/G3qRVnyr988u/y+Tt3TCu+SefJKxUrbOj4DTgiPJ5fG+phi8uPtbXhDT02jrewiMGIZTnb59a6OkoJstSleJd1xkqs4HjN53D1WO9jyqQI1hzuHtxgP/rTgGmhavpDWFLzqYpbTJuWUgCwu76vz3w7Y1hVPaZ5tLsC3+26E/1r550Yncfiw4flf1Shaadv+TMmx95DQdSCO7XZ9c3JZmJlrM1k3HXdc73pludW0+NmDhMfsjLUi6ws50awjwrIarMIQd5uEQIOl0UQnfWcW3R6qFd0+olPdDYQX8DRSHxBvol6g3wz9QYcazh3wNHCuYM8HwyGkNWLkNURCIREp1cUnT4S8lKKBEvIzRXxNS3pdDocPG9FwUBAFBHv83rdwianheMo2YQC5x3ieUfIqbn7Rp0/chLncZk/H7Seh++C8z5290lQSorkg3np0pQZSHl1sSSUVtpHpr+qsObBKhSWwJXuvg6As2y7ekr4dLY9YDaur1zg4nz+qOhR4t0eOS57uqn5dvsUKvtkqnhk6pE98qHxS7deKH+BO8bfG8cbx78/fvn2MPaXfz/+3p7yb8aP4/7h8q8b8EcX8EsX8OXyLvO9UL5wobwHf1TeQwbwS5Ax25ajjIfbjNrg1JLEf9ZCr6/BTCzS29sxJO+Wt3fke6fpgY5X6SvysY7XemflmY63e4XO4vL967a+NZK0ridSXH6gRSSlZ7ou2ea3JyR/W0y2IZ89AZmEfAk5FvudPeG12xMxu5xgxC6uSD68tp3F7CJuWiAfoiC5PC+23FOLOK7xXp9/RhS9LGor4sQVzHcB9+qGe9jRtICToHrxSvxY2Ixfvr4vFtbCM2EaLpKdmqvNL4otLZKUTHZ1bdgAvb+n+REsqqp2dtpsPB+D8+cM+iOkdJHYNSvbfuxl4bRAhAX8NuJwUnMNsKPsafYdlmEb+m6drWRCfmTx0dFFM2eFZ/fS8wQsMiz5o0U08GjJXPABEwhLpcqTL7nrxb5ZZ7s66zz1aXVZA+mT2gtywu5ZF1JCa0OUqw87XQ4X4RJyfBR3rwcQ8bSPopgdQG8oOYplKZHsae0aRd1dUbcKYtXj7XB1gkqn3YZMG9QaqLaQm6rapradOQMYUvM4z8bbSWvCL/pFd7g1HI73JHoTkLYmwxIOt7r94hri83IWH+U4n9cvenp74z3hVlyevfQa/7Ev/uL0y9/Zk3/zG/PTP9x3IrAgTGbfjIz9l+5qj4riOuP33tmZ2Z19ze7se5fdBYQFkZeLPMwSRqNJ1FIf8QVxQaUmConyUivSWIICUgW0FR9RIc1JK0b0+EARSPSYxFRbahPanFNNTezBJqctxNNDbNSw9Lu7mn/aDsy9d+bume/e7/t+v+93S3NG3y1dt+XlraXrdq7aM3TOsOzKrpg9s1aqSa55RtrxVy5vXmBculSfv/odV2mFcfxBjBRXundJ/0PVeS5BbAquqI0bt2gPV63enErJe/PEda4DeEKNrMAVPjg98LLQZm9zkLVKh9PZSw7JepvdZLPZbU6z3u5ITzIOkA5g8jVIQzpkNeOw2xkMUI5LoO898D6FdJyJU7sGyCGUBBUinRw6G3NiGkefzfCsh0+qKIo3ZiwrDEMYwijeD8dyZHzke8zC+HviawxDNhLERdif6E7yIL833YOT42GUOglGWqL3IKvC7MEGAUaSEkaToxI8eGo0NFN8KR6UFguNDms82MJCI6qNHmTioUFJjy/8ZFCHg1JGpn8qnDO42Jh4HEPj459Kw8NgP8b/Z27z0fbmngsNO07jnGcKCmfOgpuJ2fvdHXz36H6YaISJ6fTl7IJCReGRzz681HftKv6w+o3dVdWHWqoeVnGqB//GLUdv0YmP8AfVb+yqphPAFssnbrM+iJMHTUGZOFf+TY250lJprUmpSW2w/Cr1L0jZHvWWhexMrc8k9a7t0eScBa+0roomFrNsKUXMcfdNC6lyVUWRjY5KJ9mItlpIs7XeSbrMJy2k3t3sJc1CvYv81nvVRwYtV5ykz3HVRNZl9lnIOusaP1mTipf6V2SSZ/2FHpJvmekkaY4cD4l3TvISlJzsTk4RBOS0WKLMXovF6+0Tkk2CkByfKOKMRPd0Ru1siIotWimVS50SkyrJEpE+i2q1YVsvKZRd9qfdld4oHJWdnVjUqcXazvQiL4/50qyKA48zJEjZYHhsJAgdjIdR3vBI3giFuA4yg9cFGnW0EwPhQZjF/+tCj/s4DuLmAzhmZlFQRkLJ4swsK8dTZOIwDGPDcbVizD2OLzNY8EnNne1lp06WzLxxpP1S6B+YT7b3py1a89Mtr4bcG2cXPzdnVWwszg+d3/tSy+sLu7tLSg7UHmy69UJly8zt7/fWffyL0Onl1QmXaxtebH2W2TF7bd684qJZMfMmj0/DB5ftm1NweQ3AohCKuS+sMOJlM2IZzI4SxNR5cRsmuJSjWoF6BMCCI5ogIgiaUsIywPjNN6FR+EptaCFZCfkiolxZ8OkxEo28UhR7sf8s6tApoZcNfIeuCDEi42UY5oThyK7wh8fvUzBC8cwLUC/ieGKgtOXnePgzixh/vu/3+YUDdVt8ubGAl9DCAfwt1o3eHH/0h4Lm9v53Q54QBfc8sJ/62L4mgSSIRCWIGBlVdAVCB4PpCvSogynS6zxQ5k8Y/7d9KRYZMnzAnj4/0KZZJL+j7BqT66upGyjMvxFaiL/AdwYutjcXfvJo/OZo6F8hJViXmRLyJ7BuQw3yXDVWC07sFBSCSqPTiwaeU2Nig5BLPFIwSqtRy/Mca4OvS0aDqNdq1CYFzyixwLFqhESvCZsucaD33gb5sk/Wsm8j2SBlILu9fFdEtuWPjQ9TGRsMgMCAwgP/2BDpaZeehoISVAHYAsd/n2Q+jvdB/skpHc9LeA9jenlHyraa3A0/nj5/bvam6ql1iu6W7MSeWSX7Mqa0TNZNa1oyv2n33CWtKXaQwagSjSimK84Da2fLHrReRR4omfUsz6nWwy4fsHh9HplPCLFrKMOG6+lYYCQgDgcCKHUMNNBYelqcAeQNqF2QNQaCQxW49ThuDVWM4L3HaH8stB7sHA/dxvVoEAnohz0CiPx3wAUL5PiwwsYCDiCBMPCAuGx++nxUjDagbagTMrdTTVU32B0bFkfCWmwkTOlihNPT0/yQsibqgcys84MLlk3NAXQNVvwsPt++6kWwOwP3klLyKvDeFNleTsoZko/zwWQsIg62HH5gV5TvpjsbDop/Q6n5I+DjCkiWadHmGSQR9/b0UC/1QdMIq2dQnGwjdLGByBJPIUUnzHcq3ozQSxhNkUX1DVKdD2Vq4kuSAxnEoBcuImbi9hlTDgHtJXtNOfsZTJgO5hRDmE0Ig9gFXMLvBOYrRL6CvO4C44qzNTaqCqCyRXKZqs7gTyLMlJRkpjWkqy203M7+86GJ6vUloNcN7GXASxTqOcd57aILDpdniFf93sQXyAK3EW49KL7VCq6RNKmb9Nd0rIpX28hs6QfmufZnnIulFeYV9kXOMr5MXSK9Yi6zr3RuIZu5TeoafSN3gG8Xr9lukk+5T9W39A6HW8Ga3FqttUolR8dmpKkwUolwQmnzGKqo0pZ18NYL0o2gNjdVZWGJDU1FEnUWdRcOVqAgyqYXhlsSjZRJLUYAaZhfJZGypkEEJuW5JWVDnZvOVM8sHXrzj1v2XOyqre3qeq12bpAMYQXOPVF8NjRxMxQKvd994AI+Etr/9T28FpeOrmugsfgcHPQIfCOgKtnL0DNTmWIbaSUHlYoTCqxCHEsYFYs1BF8Xwms30h0hTHnIoWFlOHCxT7aUxmIvK7OEtav7cADvQJEsqkhKCu8tciLNowCmpy0oGUnRsQaO46dBpvrJo3Mzhhbv/2tqtWLr07Wek89dL6brC0C8eVifG30pZz7FPsX1s5e4fv4j5TUXP0dToFmsK9P8SFdjrJF2GgeMdx13nfccmkvqCxJxii4xSnSL3HsT9xAPAVZCr5q4JzvcgqjkuOsuh8nlcihdDsg5pcPFaN0iiPiz8w3Y0IttPVo3CHZ3L+mX9ZhohCrrEKyHxhP3kzrkRSLoa42hJ48Ukw1kG1GQPjIJNFrr6UhAqe5KoklK2SsA6isinPET9UxLawSv6EmUsxHo2so4c3R8FnjkSaGkQI4IIigSHK/gv8si1ri3Dn197ODW1w/ji9K3Hw/df/7XV365wt3dPSNQcvm1D+6+VPbzw83SjT//vXv58f+wXS1AUV1n+Jxzz9277N673H2yLLBcWAQRFay8lmzDzdS0Y5XA1MQHzUpRggY0gquJMVAQEV+o2NQ0IcaK1YgaYspDVzFVG0cTrdOHGatJM7apQ1Pb7TRTSmYadul/LgvSNDt7uczuzu453/m+7/++C0d3VM4BJBePDVEHIJmFbqnTeckhPS61SfRx8xLz8wnc9xxr5BpblWOj9KKtTdpl25lwTDLwCsdqkNEoSiYqYI8kYgaQCl82iJ0oE0lQY0TRTp2s8cST1Wqa3Z3IU3emZAlUKOsUojQLgXRNA+kYpcvpJL1jljOIC3vjb2FWfRAwx/hQDDOD+Ec/n9DDcFQRw/5xUYQBP292aLyBjOMILALkgEi4HoZANCeCIgom/51Aj8EnsL8IUuXi/uQDtU2njzTOXWizGAPBtppn2239KQ/e3nS9trqqpSPy2e3LY3ir87Xt77Q0dNkOkU2NK1taW5WBa6t6qyoOzna/u/dS5N9DsGIXsFOGPGFAEhpW8y1LxdVip3hC/EDkF3ILpR9TzgLcQqKOE3iDkROQKErSdY7aOI5yEiKiBNNwkAwiPSL4sGpAlMJH0HUDDZLqszxvUJOScw1QGlVJUFM9uUJzSp7QEUuY4iTJlouITBTCkQFTELdryP3dD+hlZQ0D9YZkTW/Q3UZ8Zq8XR8M+BeJprQ1/6+ml55AE/mvxSsGxD1XjXC+XOsvL0aQkHwvqywBZ+IxqE1WjV2wu84pquldMTYT7LK8W5ZelwKTDc81z7R4zZ8bklXAreePlq1f7I3m44hh3ZvS7xyJdII0D4VogDfPhFP5N0PIDNWmB68WkXUmvWI9b3xNvix8n6GOsTtMMFxeTw+cYz4NcOaCebDXYLVbrdVOszWS1QacE/qlWk8FtV02HIdmYYlU7ttsTLSDTs7EU32LcBPGqHupOlMwV8jq5Sd4nUxl46NR46MTIKTuJs0OxXMB5KBYfABYX9poGvo6Pyf/Lx4eMZEMXeFgcAkb6zXDB+L2/XT87iwdwkaZqTdC43j+VmMBGK2QCDhiJ7DaBNZyn3rW/tqalv6d9Sfv0E3vJ3fDZ0tb9l7B+w57h98O4Wd61+8qRzt7SYgf5/K3I809HRn57bX/vH9lUKwE07aDnJDQD9aoZtfF4nqDa58XPU8otTyq1XJVQpa+xVCkb9BsTt+nbEm/rP3SYBRB0f4biUVKYss3T3apUJhGgUgK+VcGwAxHH8O4EPtVtk2DeFkJMHpgWkDXsIGPKskzkjpkGBpYbe1VDcVxF3Lq4pjgaFyRpfVnRaRaaQCoqXU2y2f7QBCxMshDTtOkFuQ3wsDB/86Qis1zA9IptU1Djvuxzzpxfu/ixp1aQxy6s6g+/8JvWP0Xuv7Hzs55PwgWle59Yf/TIS5tP0kWmmpySnEf/8YeVP4h88btdoR/iBbgBn7jc/cvRT/wnlwUPvXr6NJsplaBaB38cNFunmq5ImMKT6GkMKJLZfQ7BNEaUAhxH2LZLNYPniCtWH4j5GyrFFbiCcMVwW4ebYMDGm6IsYVmw3lcyHHpCHmHTjqUT5v1es3fc6BkbIEXpEKcTPPkWS0ElN9AeCS3Ijz3HtfxrJ/1PT/uBiCXyZfDjHvwAXzuIWEKCU46HU45DHpSD7qkFeQ6c6ZjvmJ8+JP41h4/JwY2oETfQDfp643pxo7Q5bjfahdtpm36LsVVsk/bE/cp81WpJhePuTVRc7KYo2ew2S0lnHHBnKiJyO5GY4J59eDaebUlx6/jpbovkDlyMwTFBskqVswKxqgIEgKoTK8eS2CDef+YbzsA7kE/h/d60gH0y1dhVO7F3zJlMNePlcoqNW7z+7FDUjaJ0GKfE+nqImQ8746RdI3jFapvChqnUwDV1a4YuXnpQu3b7nsjI3buRkf0r2mpXb9tZvWpH0fyORVu6e1qajnMJma/WHP7o3uHqn2TOvLLjwhjC+NK+y/jJ1a1bK1Zubx0dK+kofbO55WR3NC3Ga4ljBvqFmlvkWuhQPd93LPFUc2sca12rPJtdje521253p+OE64LrgWNIGVGs33QccvQ4uKLMKh3JYPblAWydKYpOme4uNVUwr0oETfH4Vtm4zPqZQyWfx15kBJWZv+JOM5n2+pn0zJPQmlUzMXdkXfvqgAxNNaMJiSE/y+ya9zxK8nIzmLjgjgBbKGIsRKZjDUG7Bm1dj6OhclFjWT7OH1x7ZhQLV/eFXtr8+ZG3PiI3jm3Y1HuiobELL5I3P7ew6U6d6Fxci/V37mG5M/JnaIV/ifS9fZHLff3MlYPtTGEEnQOZtdF04K8ALUqhPNIJMUTno5wP6yh0hWxUjAjLkF36aJupZ2qBRK8RQ+OGFSoDB9c5qA3csps3R49DfSDjvUn7bhPapmYHjFuNLxt/ZvynEWokTjcUGL5tWGx4xjBg+NQgGA0mgf2m4NPpeBM1njKwjuXhfVRbxhaEeJ3go4ZCYxGfTYspUSimXbETS/JBxQpr5YrN0XA4JI83LW2RSP6ASRqtr59Y6GTpuhmtXROrnihfsN869Cl9hL6HdKhcFfdxzRCveR2nJ/wgKYcXOVLeS1TdeVwGgaAMzPcUPqVQ4tJTnxa5NwqsdcK5+5jLoPhsV0kIHk5XdFUsEyFwGWzH2F7H3RiNcIRs6cadfZErkct97GzW4y7otzrtbL6jZvA6TIUYNI3D0zgiTKNUNw0M8Kfk19BxL/LIFYPj9eNN9/54HYSTYhj4tB/0grkxGbO+CxctGi3k3mcXt7w7/Hr3/+24meyjkAcw5CHCdowRhR3zKmY75sd3rDulcJxPh1x6hcd8dMdDftivryTEtvw1O8Y4jz3pI6N5HB4d426QLZHKPlyMfX2RarbrcvB8ETqnG6WiVjUb9JtAGlwNCWSF65kEUitWmkg5lAmSb5pnIgnxeoEiOcNsRlKmDbtBr6dVT0pqii/ZkOxLTVV8KSlutNz9nGF5XE2avFyBylDjiZ4MqJJJEzDyyWGQpg/WrWnzvllLrH54IL8fg9MV5BcwcT7MqZRxyEQExiZ8B7sdc9IGC4++EOh0nov/4sbvMSrfujTfRYI38bNplpqSokeyjv2X62oBbuI4w7t7b0knnR6WZdmS7yzphK0E2wgDBhMrYzAPIyoIMdhGjA3FPBKKbUgyoSkxxI6h0MGEhBToGAMNgRIXCA4Dhg7BZdpJCIV2BkJDgbSFpDDjCQmEUIKO/ncyaYtGe3unudH+u//3+P+5oxdt79ziPvPZzd31O5dPnVz/vPa2wZOl2jTuPHMeTUAz0XexmbQiyW5FCZWIUet46yTPOKUyWDlpQvUM64p8qzuUj1WhwKfml3hHlFaEqj01vjqlOr96Uk31fM/8UGP+i94VvpZgu6fNu963TulQs6xSwoqoZ3TDNNnCReaEmZg59zEyEVWgKnKst2I0ZcrVy7LRWI40RUikD8dRmBw7XDgxaOMwd4S8FrNJiadQ0NFtCxZJTVBY9OG9KJt09ZaPKgjC+wIKkK6YIJfgkqxZM9enHTY+kNJLseTAnRSQE0ylcGAgCcZyDeBQnrwGBz3otnozFdJlT/cUh24qmSOjVFrvRo5wlAwnwUAeTTJcDjoqB0dGWZYO5AWDYT0vDqQMozPdGZJRo4VV7BrUUUiVldBrn94xrWbPol3ftMzsKs071OnP95VUt7Tv03rO3NR+dv483vQtZvHcWR9E72m/+fqKtla7VzHjxyvwSRy7h9e1NHxy+OL4Z12i5l49Y9QrzRM7GmLNi2O7quoWXly1HZd31yW3pRrW27LDYxNY3PAuzvvtJW3BzW+1rr0HVi767NWW62/97tKdy9iG5dMf9ZzWrvz944JwFp6y9pcVbacb12x+uvNPgPiHKRC3GuhNOGTF/ti8QqlIWsAvFOqlNVSn9BHzB/ZD6ZZk5pkaXE0S0kLzAem25bZ42yrQFlqkrZTZJDA0Da0fz3KcBe551sJhhGTO4oIfCEXJtMUFbwh+huH9LMUeIU0xAfGWGzGCCenDZrBZc8xhkdF8jpqeoM/SV2mqExT2CMYxc8LyIXfVQnVasEV/lmzcWY68yrVyhNtku/BpWoGzYMDXA8n1ZklgdZ7yMi8k22DXQAczNAIFd8dQjz4ZzgFy1CGdOmU9daqDSc9AuaoD5meqDvin1c7qpW0Uz/U9vAWl/j3dJ2twS3MygKM4QCmUU6HUMMtRJPpnMuvyvtS2HX/FX2+pzMuJMn33K/FxbRypxZuPvvSLdaCem0FRbsD52o0KfFUsQdOVgepAY2CZ0Cawi7wvME0CmBPzmpkNuwXKEy7wu32C4HT4Cwry81GOzw+nlOv32xHvUdkZIdXifcLnlw2ZT0bGzE7LfKoMdC9uFNJwrw9QEhCWstJCeylsGDvSooKSUbvyP32ulQSwAjjX6yQ1AOI8LC01cL+ZqHtOL2tc0L5hZuvJ9domPHbVqMlVlau7tEt4yRy1onb0jLfWaz1MX83R+XN2R8PHWxccrC+mptvdjfFJS/O/7+Yso56rnP5ysa7ujQ+/ZF4EXfWhI7H6eWSxD1x9mDgPVH+5rxW1+TrRVmYf9Y54lOoV/yieQ9d8t312q8Nn9/moAnaIvSBHzp0gVrtmZlRnLWSe8/3Usc6xldpi3ZqzB/+a7LGftzqRC3kll+Sloe298v6QUqxXROEhpZINYTrb6bdQ2X5akFTbZKTKGGNvbqYq85jP8s+b/Ugz4BCT8UftSFqHI5FkshlEogVnGsyH03EEQYIzOVUXZF0Y9MqI7u0fq/3++oD26bb9uKL/b/iJMSei/Zv2/nP2ki9e3/UPQoq/+v4k/slfruNnD35++snuN3ZqX208pt34+XHQ4C7gYC1gxAbn0xZT5VxcwacTb5f8NsRDoFBje3N90mDe/f/Nu24lPyS9uKji5dgIKpvjWZ7haZ5mszxeD2HNJotJNIGquV1up5tis6lMBTuscPHwOQp2m+wKikRgrwXwWYUNkGS6M93QbhGASEgZNiKNEejFlC787321K2uWL5u6YuOZdu0gLt34TvH4+NvPT+3RPmH6MnxT5mpnT72raXsbhvWMKB5/Y/cX3xX4dRTsBC78C/ZpRnWxDJbx8zzHIYrWN2oS/GbEc3rOciTHcG4GNVk2ySIxeUVaGNy1ZUxdOlFlcQPvyfida5HHAV9cBMFnKINjJx180EVFHpyn2pi+Hq38PU3s0SOBkoNuh0gEVBUrMCLZAGbzKBgI5Fcykc2EeM0/rG4aM/ux1a+lGze9nn585T3U5QfXyYFUQl91dE+qEf5hCXDgKHAghC7Gxme7sjNIfRjP4Z3YQQWDSHFkkhCC1TGb6bdS0F4JGKvhUBCqHIglXA+9ZUtrGId9qmzCpix1Xt0j1MalJEAhDiEA0wsH26fCMuNR5z4M3ekAGuPoQHaONycrh2ItqhTKUHNVPkSrgZBH9CnIbXMq8LLLKXPwlMeEFJxjBoy47HDxC4qCghRcACkGVvQqN/Loo6MGWFISsv8fS9yZ3FACNGE51nBQwJGdmkKWbNDOdV/UtvcewolL2zF+Q92vzD28tL3/JWVUByYbV956ipS/h1Oftyw7iudcvICX9S448mZRU2t8WtuP1mw/pd1rbRiJ7XomdwB3cg1MLTyKRJ3yzozhNOUXTN2mcyZiYggx80AGmePYZKuIRWJOJ1SHWga8C7iSRSyLCbFebBLpMTWeSLJZuhsxyJW8q2cWMFZeBg2pwTAcidoh0TACcN3RT+7396dYpi+1m9TerySHUnH48xMQ2iqIikJvfqDjiTCw3KFRY4cbc3R4en6yKD0PyU/PgVB69vnTs8drzLFCURouM53MfgawAN66AXWjA4guRDGUQFfRLcQ4ZPixE5bbSV+oMaShYvas91vBWZM1zS1lqeSjPMFeynWgRu0n+nW3glhHPvySajAcKh6T5pMF7HLyArtGXGNnBQL9pTem0H6bIKgmE6+ak7ITy86YM+Gsd9JOrKIqx2FjwQEp2Xx3wOiBBgbKjfbCaCtBNmAxl1FhjdnPNc2btHhIf83J1SfP4G7Pnlcqlq2kvnmQdeTjxVf0bIJbMtP1bOL2WDGVN7KUF0aHTSX/obpagKOqzvA9596ze3fv3sdu9v3Kbnb35kUg5MmFMHNHCTYkGCrNOzvQQVDKMyCMwFBC1fAQaMU2QhusDHUMUisQiWm0LTJtAXVkpgUCSpU6gJVOHEeptQ256X/urpFu9uT859yb7N7zf9//f5+lyv6AvYXtYUdY60b7VfaqnS0ge7jd5GXuNk/sHKrkLnPYNjRxXbe54hVsjP6CNjDg0Fx0dwDWfHbm6Bwx59MDLi/d/1CfHYBPSqVm87ZAYDag1Wa38XbCclyM2N2EwAoAZAFBY7HbGYI5hK0Cz/B2FgvgTYbwTF0uJegFcpycJtcJR+bxdE8otaIYSJXjVhaEbI8uCLFsIes3dcvoOLgk6mkplWoozGpq6AD2Us0iUdFCQLVwEFh5pYavAY3iB40SAo3yW4abuDKjzWxR5gsyrjttefAkUwIaR0deSAP8fDjohdCrWeiDCi6Nz3NrnO7W6IOfSkHo0Yq/fbVReqOudWmmC0BDgYLiCN5WZ+8ZfAVZxw/iH00w4199DogvxCPjv7l7AN+6bXDZ7HFFkD3ClOsOhIGFhOFjVMnhl3TJitlsKbXc075upTMVPAPKuAc+5S8AzC9fgRsPMIxFhv+noA36NgbLvBuHeG6jo8dxzsHaHHWOOpkt5FLiFKmV7eA2io9LO0RewITXxCqpEdezc6w6P1+8T7IfwAfZXmsv38++ZLW4sCxJpQRDYjHvEMVSwkPIOx6SH0I6SFKet9kFQRQlSWF4G17s6nZh1zDuZ0Q0/SSJ8UNoum532Owx3bFNQMIwbgbtLMAVPARC1iYjJiavVZAyhJtfj5HFpJuwZAj3DzhpbQlA3qGH+OHRTa0KcXBycSMNyhUQoNzzAw7WVLA7tpoKFiYg17dS9XeMY2KM4Scug5a/bCrV+uMOuFZgQkSc+PqEZKe7gA66vDgY16QpcU0cgrBak8qqzfBUCeyWZHHQBloXsm/KAOT1VVWjONQ6lEDOAyiJOkq9gUq0CJE3jOZXjVYyPPbFM99Z8Av27n/ncu+MVXLXx2IUC33Zumxjbp9wCbSKVUKx5akfsPJAJB7sK8vbOIxtVp5jYxYLSccEFAOHuFhYK3QLROCh9Zpl2gF/me3BmeJWbNbmrjuTxdm0c6DpuamZA0KUDa/x+lwNysDpwbkar5dlwjLNChShGnEwAGFZJqS7CTPUhYRmldwwcuj6zmAOhJFMGIHQQ8OvT0xyJss+sym2AYQRbQzI2XeWxcNn7xpwPNu5bXA03WPdoPSWgAb4G7nISEyI2aYvDsrIrbjdIV8oxHEK5xZ8Qog76huU/iyxPp8/hGMR3dmY0+jTg62k1daiNDkX5bT7Fvmbgy2hp30HsRKIsqwrKtg8agwETLA7giKySs8qEL5X1qaprjWVAXUBoGdB1OYo1L5SiWd27GqFKS9jnBUYZC2zBO1EVe+gucdeMwb/cMEY7j+HIiMfoNCmT595zxjBb6NV6NAZ48VrHxkvnDqH2n9v/Nu4gCpQaAAJzxo3mYym5cYh/yLjZ1r0yqXOFW5cr9S7O5QONyc4okBBxufPqC2XygdjQQTvoF/M1ojAvdamK/0V/frfyDyzDWe9jC8KEhzH406IJxUqLtw/f+X+ts+M88ZOtOXN59MN0580dpFhybV0cNUbxvj4r1m0Z1vnEx4RvmnrxD7yGeTEwxQgl75/kfpLFQf81R4shLlcKpjcue6EpYiU+IrVWaTGN1NtIA2+OjVNmhKt6hqyhd1M9rB7yM+Yn7O/Yo6xl5hL3pvMTd9NfzBMipkiMotwabLf36teUrmUt0it8Gpqnb8uXJtbm6hXm/lWZ5OnPdweac5tibXkLSfLPCvULeq+8D71A/81NeABfp4MacCEi/rskIZZbwFrLVD9XsJYwIwGCaYLhiSjUZnFfDJqtQXVnHk4GCvqLsJFcRVoJQQK/x8O8zMmx3Q5WYno0xhnuXJeOZ9xPcw6WgK61qVAw4HdvUfUUcjAblUWK04KnGo1n/vXjnXa84eO/Oms8earx1HteYqf1eO3+lcdA9hcNT5GoWuPdnYsPZQu3qFt6TiNOt+/ih4efst48f1Txkd7p6X7kHYS2Z81Rgy42Xgvf1YAskP1HZhMQFEeatBllyAhV1W4PXcZvyqXcw1NfDzgClbA/PlAXn6Fk64j+RVKdpazM1y/MhBRM9fhfiU70+v6eghS0rzwvNhCoTO8KrzO9ri0SX7KvlN+TjwqD8n/kD6RFcnhiDllt9MpO2WHzRXC8aDXbnE5FdFB/Dab1xcMRH0+Jp5nItrvl2WJj6pSnyUdS65NdifZZJ4/i+wE7f7fGAlIReCGnzo4WuuzAIftGm0aJARBdnZIU4sJCAAK+ckuzVB9p9t5XdZkZabTNZNWH9RlFnkJilgwoDmhzLlgSHpYU6DlK3m5MCbrVhslj9frcVusYPR8OQl2KgbuJEweUSIl4ofx7j++u/ntv84vaGqYuHOmaXVLSbz+7+jwU70PPnfEKCXDjec29V2OpJIPbjC60PQn98wQrOMb2PLqTQ882kN7QOfEJ9w/wfGUMobet4Rdwq1nH+O4VH4lq4XvZ+usDZHa3DnJufkL2TZrZ6SlYFeOVCCqSZxk81NVckViTqp2WnusOdGUWin8QFwhLXMv9W8SNoub5a3KhuT6VA+7W9gl7pb3Kk8ln0jtF3vlXk80lZREgcTDkWiIt1o4FltQKpkHe2DzQiU/hhoz6mVKFBRDC9BitBb9BFlA5R7XUyXRqJcl0RJbSA3Os6lMISoMlsVVF1Jd3zMr6vRJy3VjVBk1LeBohkajynj6Bow7Tkga5MxJ+xGEVAZ3AYlyqqO4PHOs+WoyX1UrK6qqyuH4gVpAIfBGPi/nM7NBiaZ2vi4uOrd1zcsLF3TOMlZ+d/kjP/zip0f+00OG5VeOHj+szUBXW7s394wdOmt8eRCNKKv3tty3fk7tIwnf94urjyxd89bDy9/dLj29b3tHY3n5ioJZpzZuuLD+sU/hGUqhKg8Dm6xM4//YLhfYKK4rDN9z753Zee3uPPYxuxiYtcHYbMGmfuCFTRmahFfrYJJUPNQtThsruC/hoECUJhKN1JAAKUaVVaqqDylSBU1Mg19sQtUgitKgSKmSVkkspSStqO00uCGKSwV41z131uYhdaV779nZmZ2Ze/5zznf8sEQX4PZgsytLXC3SPYMBqgGclj2gDQwY2sNQaZbwV2XkZ5WMLKRrli4VxoRkK1l5RSP2vS2ZeMaiTnk+P1ieJ4X7+69/HnRoWPOq8Z4x0uNrtdFtfJtyQeEJUdgTWNib+WplHd+k7I3+RpqIhgxCrSI941fJaqyWFrwEeImOBO1M7E7sT7BEuNbTQBPXqnitVogLIkCfZAuT7SYWtauVMhcUCIwSwNajUt6CLiRoSCzeee7h8o2/vlW+vvvc+v6n3h2RXp0+9bfy9As/hvDHbPP0wGvD3zwHMfHsKmafdfjsGvmPv6FBgqWkji3WGoxGo9N4TnlO7TXOGlcM3TM6DMqx0aSaqnqKFMOOE3svj0oxSiUVqPSxpyFLdinQRRXx9HpdrkOB/Uqvgt8B/DD163I7KRyhv6KUiiOWJ3VItBH5sRebiiuShAz57KDeebzCkD2XCj1ZMVxzUjRd+XRq0l2TF6Qo2gYkRVygwokxZMEBEsVt+2xAtUEsiNLFmX+3BR+BjHV4WmuAjGTmbNBVFBACCxloqhBgE9C1pTfegaeWL6xeBodfL2H3eOO9/bsff5zXB11kipDQXpGn4bB/Tz2ptertWjdHWq2c3epuJOutjfZ6dxvZam2zt7rmMeVYlDKOAC6HcK803TDUcCQaNWKObccTSdfFqpcflIjridWwLbH6O+LIhNh/UQTDGABxJUVZEHdj8bhrG6q6IG6jaVtGNOqZVsw0LVs1FDcuRS0TdSXFDYm5ZhSbWUWhmKdd27YsoqSTybS5VoUtxCMGznEcPpFgy4jnAUAqVYRDp2ZzdjrVXkJeL6VTJfe+e7vuGbuZued4XaRtDH9rbiCVtt9O73cumIkPRMzz53HKn5+zbp/QN1H0jSVcaGtuceZqxWGL8eDSWw6b7QgieGTQ8CW/LfDho8KBTsWBjo2L04QYj9U8BPDL8g/+9OGidJsGyX+9s7mmatnYH8vfP1N+c0koGStfwJBY89O+Txaxi6V0+fLnh4bYSYTYwmGva/2NF+YiYyP626Fb/XpMkilI6LTernfaYCVrU9rUtvCqSIu90tFsx7MzzbaYIsWZjwZxDc+u6uyKIfGR/wYaXJzFxLQP9um0lteH6vSlkVq7la9SVuniHzcoD/KC8nV9R+RB+xHo4t9WvqN3R7rsx/gTiigO++x9zjP8YOig1seLymn7dX5BeY+/r4xG3rXH+YQyERmzv4CqU1XAvMeYbppONBIOg2mGLdtxdHw3GtaZ4Wg6yCZ1VM1xPKJiPlAZDYc9g8UMg2GgM0apEw4bBlEa4hBHFXmGb1CjCDtPe1qvdlZjWhGKwztnY7roa/KQb3aYfzaZiSf5mkdSsfi5jIjp7H1TQlsF95+pycJkAY1AXoU79HVAukNKRAgsl4tGhXryyvnbl4p6zldAGea4IQAEXXQ5qRwIOHDn5RCOLiJfOpWFF2cmRubllOp5OfTO2YEq0R+e9RdW5RwECYYjHEkk846dSN6lIPfkGUdLF53TcgTJajunG/MzdwGZn8nrmrCosAwnicecJB4TFkUre8cHbrORZDD9NMGt5DOnWpWuLBvjoD1Qs+JuWPKXUolmr5SPLMysiJd76TT9Q/nZx9Z0bIUfldqnr1F9WUvHgjIItcqzedyA5hFFXcX4any58UE7KaQ37kfQ4CmcmJhUQYtuoMr3/XVo8DqcbBSjslRriPBdsEvepV+UuZCPrIRUWVZlpnqaHtM0XWayyjwKmPlBNnQZsMSCXqQpX9U0VBAW3EiRur5qqPf72n6NokaG/bCuGx5h92+mRwKtDA+AqLruSDgyq4+rou4iaFSWMVF382jnrUrCObA8q2DGl4Q0hHEgggnExOkrLycxMVRhYhhSDNXgr85METYzBUHmF4ACAUuqKspBwYECuHgqJTBx+02HZKxbrrDo6tKblyHTce+XvwFV/yidpt9j7eV1Tz65pxd+Nz1Y+onY73rkjJfFfpOxU3ZECGhV2GreAOuVDSrTFF2lL3LcGACualzRtNr5meY6Da5hbfeAY2rnWp1e1QxiEm4YxJULdzjiKF4iLQjJVNcWYOxpZ2AYb8lxF+eRUKPiY0ndZKzBpicdASLJW0gqLNAF03f7FAaRALd8+1RP3rxkThNBL2LkrVwgQVFAsapidEXM2Qz8KAZRTyEb7BKtzuTAzYjYuDicytHqYKeQplugdaUgIAhl4vX0044N02/x9PSF7ez4EHvx4U39/dOhR/rxMQ+Vu6kbEFibv5CzLFBTkrMkZKMyQvJJLi0OgOsl5Re7KrRVyk/lA86afdAVjY6ViddYTfFD8PzoaLk7tKXv2mif2HUyM05zyNuMfNVfBIDQT3AcQxIhveTX2EztZTQmshbgKRqbIEU4cZpO4G4PPoE3y5sBzuYrFFG42XNIIgBPlLceheMp6fL1GN5pSbkbhoK3aParuJQNySajWQK2LElAT3K2OEReUn++A/916v+8AWRamqyalgwMlfeMjsLz5e4+eUkf/m8rHWCH8A1k8lBQ2Pw4voMfy9XSegR5iuEjgZxHXu/yk1TKc5IHWcamt41/wL5LP4DukPJ7+CLJwGvwQyKCZurq1CXLvivXUMGkhslJU9y/pyebdWrwvWrYp6/AQ0fhW8P/xVtnpj+kX8OdnPl7uRsh9hPcprRvwBpC0xJJ8bvXChVdwuBraJ9c0cjQ3Qv5iXL300+L3d/OfwtvS+fwmk5fZ23JVDP1o1YzQfUP4hcmoiCdSDV3QAejPusgFDMDARMoHECjSB8YgGdYkXYO0hTveQUaSEWzgVNKiNwB1AY9ID52E7x9dPwzvKVL0LGbZiZ4Ff8SqSMr4X9MlwlwE+cdxffb1Wq1Wu1lrXa18spr2TpsScGH5EOMwUvABmIbm5skKIgb7AQsB1znoJhQrkDAzQyZFJLaFEK5EpuEpEBocQvDTFMYO21gJk4ITGNPSRrFngy4hWC7367pJKNjNSPNSHrf7/3f+7u1vSRNBmXaFcylg8EYXewoSZ8YnBmM0/FgPb02mMh/ld6ee0A86DpOO47KJ3I+kj/OuSz35PzdcTPHMk0EqqQ6Q+FgNGaKhWeaZoQXWJ4MrbKsDTXbdtj+artP3w/xJVEGmLg8b1Qq9AjOJbnrc9FcJY8pZ/Yx7cwYg7czncwggzGMgkln0ROa6NwvKAqBVASshQpG5S7lliI+j/cs+rTGBTTEz/kz/fn+Tj/uL4gZeZORHc2PdcfQjhiIST5nVp73ornHjKrmcjNqLiiFzkhCYTho1eF4CjI2MKD3/v7y1Ag871gefDcJr8Yixj/axKCJkaRP37CM/avEuBVFA/oGRgQmo8ZCJjocgihl+zEzwaDwJVwY4IewshXn6jsvTH9+RlFD32oQqdi5+QV3l3Nd766dJ+o4Usq6oEjLLq9fXPjc2jW/87u3zq88uW3WllkCQ7u8Puu6xyY9mXQmd1dpS5+Y0DL047ZJpeBmjsLl1OTNSDxdO+kX8AS3wxNUoaM4xI3c0E4B3MZ68SK8AsfL1S4VVdUsJaI8rjSqbap5or1MLHNVi9WuuCVOL2Lj4jOuesuz9Bp2nbjO1a1+buuT+uR/2r+TvpO/dt9Wx1Q5E89j84R8vJzV8Gq2Dl+F97nvmR5wNs7BmMwokq7AdLU6FIZyenspwFEalaBaKRO1AfARJIL5ULQbgDbQAbrAEDCpoBzUAgzIGdNLxotxsqmshhu528+NQOn1o4B3Xtd/PGKSTUjSA4cWD9feDNTBIdlZAQxuvVDeoqh+AOCx359pOr2sM6mN/vDHCw1odP6vm0+9s7H5FH5+5N6+2n2fPD86OHrjbfDGxfm7r/2t98o16Li6sTtYClLvQq5p00kbUJWp9qnSXPtcKWFPSAfRg9gB+gh3xGWz0LK1Hl2L1eMbbY10K33U9iH5kfVDm020bbd9jWJM1hJ2PbuZxVigwzozH/b/OiSBNBpz8zYyBOsuy1Iw1NIUinAqJkphAetlstLhr/BSIRVOWLgpzFQc3h4CqEQ5gRIF6dHLxgRPpuBTU9Xc7CqjrgO9rqea7qaadJVSkFU+lsfF++Fdl0pvPkDSIUX4aBpUS5QIvy7QOItY2Wn34Ht9o/9p+mbXu1+qnfLmp3aeOPKr+r1gm/SHHuAG1lMA3dJ5KL3h2Uv/uPGXVyBZlVClW5As3iDrpBU10T46Sk+j8SKhSFmIzrPOEeYqq9EV+EpyuZBQutXP8Ov2m/KAfUAYlP4tDxgEiaoacunYVbl0BokJqJeeIE5Ei+gqtIKuFGYqC60L6NX0gPlf4gNwl+GAA2MojoVkUQSPQLQwyhkBiI9nfRzXywOO1/gE38qb+A1p3otED3GLGCNMuna1BEbIGdG6R2DVpCBSMJtg9enXJSvTHz+hpZvaU6SbGrp6XDCIGRB+QgsrXXl58/WN9Z9tTbyR98FI5qmNze8ce6nl0Pbf7vnxcDvAXp09BWUeVKJpVz/585W+q5ehZlXQjRmQLAfU7CtthYooDnQ+Fsfj5HxqJdaArydXUhYO4QCHBtI+xx8Iwy6iIG2iXKBMSatxTVFmpy2W5yhL055zLVVazC2OYXTYySEiYGlJqhMTYqOIiQrbxnVwKMeZ0hUrgejgkWC/HcIlaUbnJgPBaBcNaJeqR4jPH9WvmlufjCpQxQjnJTRvMPozyR55MVQz0j+LgxE3nAzV6GYc6TdAg2UiWQb0mahrZywGyab/w8YhkUKEFwiPqCsHPH5jLmLPnA9/f+6b0UEgfHkdMODhHev725bvGelDZ9tKF+x6+ThYIB0+A1Q4C2wgZ/Sr0ftcZuf5NWD/9qlrjuqpaIfx1AoTXUI+0DIEErBynpwva3KjfND2Fn2ctrjoHLpL7pZNsv7vclxq1G2hMRurWIEDDQl2E2ZGrO0CEMbsmknymRAMfV3vxlCSglIjXTWrokbb4HcddsoXwHnEgwwDq5H+MCz1isyVwexPxccrM+wgqRgP///UFzSB480kYbbASOHItHSEN7PpAK4iwS1bQAiC1aS3lEhRtKQYcgV9qNvQEYHl6/32drtra3P14vTSwjnTenqwA3uSDdHKhWlvWysTy/Y8XAUZenx0NvYtZCgDCSJDWoKicCFM+YRqqkIwk27ZHab8Qjg7RhULT1CVwgJiEbWGemC952AmZIcDk7MnB6oDbeGOMFHsKc4tD1dSlZ6K3HmeeblrieWe5bmJcGu4L3DH8332YICXRLPjLHr6TI5iJ4wJxmUi+cb8akW6kV5Ep2uTNgVXFNZakaXYrKIj4otYfU5nrwQ4SZMSUqtkkjawwIdkqd6LbA97ix1jTSpbztbCqSiHwhs8uiHhlqobEgav4cmR/mFY61J66sb79atRUZJwikmSKI1nZwDShY47U4KtTzDy1/4ze67qpAqnbti008mA5q4vhtZ9+tqFF4+u/KLjT9/+5uiml4+9+2LLsUWu2b7CFU+VdO0GZTffBGDPm60P6//b03ISC37affHqpSuX4OnvQBDsDpxzAnL6HCJCLGiHFPWZirAK7DxtgvXrtuaFPUyy8DZewHCAsApOCJTV5iO1SHF0jATdJCBniTpRUrQ42iUOiWij2CF2iWOiSUQFn0Gd5oAfHtLbdiZU9jZiQmY5pteNT/oQpEuvJFCkkNGkjQzU1zMDN8bMED7GbEsHtAWChuhL7xYkFAehyHgyiqKDz+YNVcwOfseZX3Y3v1d1ZmND3WtlMAZ/eD1+5K2RJeihHS/N3btp5GPI2E5oMfgW7JwEskmL15JtZAfZRXaTt8gh8n90VwtQFOcd32/322+fd7f33uXg7uAeqGesCkI4qXcqikqEGKMjeBcdg2lAaQDxVaslNUraZAy1ddBOW1EptkkzKtKO2qSlrZqpjxHrozUZXyOxtdYpM3VoE3NH/7sHxkzaGdj/7nIf9/3/3///e3CU4BMahVZh78irW8KwIPoE4CoO0wx41i2IIizBIuFCLIX34k58GPfhW5j04UFMU9iP++EJ40p+NMNmyFCfo9gDA0f0X/3Im5vsUwqcDGTxem9vL75/4cIjJw4/+hCGf3h/egGKGnu0UXvi88HhsFNxAbudZd08y3IY05i1U8gk0YxDxlZW4vR9SYTLtlraYe7d7ixZNoVEsV1CPikmVUmMpNkd7+aWjzakrjzA1s1aWXa3iYrN17UHbMxW8niL1oKCNoUvzRwCr1jCvCJ6kGDmPFTmEFBS3z8qNroSsnBw0KXbe9Mv5xX5iot6C6Z3zMX3Ll78ZNMe89ydOPGo8+T8Wh3doP7MfyA3CZ2LZ3FkMakRGIvpX+wQYRYx60XaRvz2XN3BDh615ReCaRzshWhjjRe5xov4a/CGYMxiUiyUQ3XIU+IScT2zVvyQuUO4boICJMyF+BLytBAzVZmqcTVZwlULm/FGdo9wmvwJXyUD5B73b/IJ77SJIsswmCaEEwQeHgSeD3HEwXGEwTjEig6WFUU4ecwjOF+WcDwvSZSIjyFLD5vHQ4gH/IZ+yWoH6pFCFB0C3UeBB6qCftNk0+3c8pc+rzsAKzDNUDLjUgBplVLdQFrdJbqHxOAhIaoRM9xwcAJ8KWNcoWdmJpbERWF8TonA5+SUkmPDN3pySiBc7vEb4UhuiW51ItXA78BTVCQCK45TZLivJ7dEN1M9Lj3c6FFKSCYYT7IRjkiZxZFqOF19Ydx2HSPe4YJvczhKjQusGupR9cX/OOLJfBwlqw2xqo+jbnoDiIOGRm/fS9ej395I7/sWe+Kz99Dh9LpULe37RnopdMBWaINio7vfPE6xQErFTxeyOjkVTsnEiZMyMS9kxHgIUMnC+ti97E0WV8FlkGV8bCPbyg6zGFBFpJkM0Oj/yQCcLGCgvRTqAxlKP4E6+PFMRiKZqTTAt9nIRM9gay974tPZGWQkYWCiAHX6OCUM/yU+XTIBMg7gAeG2+2M/e4Ud8tNu3h8QVI9fYJiAN5s4syUYQUQCWZoi9odQe6gzRIdgFs2hdiuyHkPJX6qhdg/ywF1co+iCQAj1U0jXy7SP0ruFobRg6BjacPTzQQWPkBoAgfLgYTJVaYwriGDgZAAUo5WgbZAxuZlJlR32sEO2epDN5ByFS1216Nk5iwypp18ymGmQ85PouW9yd/26Dt+WMz95+2ggMa3xB71Lap95NYrDuyqXrVhy4tCvUvn0j1cvi+7qSnXQPRs2PPvD76WujfDIXaiWizoXt7MMsdM/U44pd5i/2geZITvB+sxOggJuVNBupV+9pQ6r2M87zA6XDQgFEZdJNJllc1AyWEVC8CNVqsZB6qyiDqp0o9qpHlb7VKwydIHTNUIsti8Ri3uUVB6WZpwu0ApMmM4sAHGPecVFrILIi5zIECVsJWYPsoi2kYKNe1Un5IjR086iEYv7RMHa9q+9vnzfs4rYO27VnDUHcbjj0KzG+ZM3p9bQ27/eMH3nudR70HVloIfzoSYmSqN+F0/aOFGTy8kcfjGp5r9G6ni+UInaoq4p6iylwlbhmqUm2ITwnJK0JV3PqQ1sg1CrNNgaXLXqeuQUCGtayjzPPi8ulVczK9mV4mpZdGdjzgot5whyeinswVDhRA5RnML5QdpOuqk3GrzXdPEL9+YgFYeP6I1GU5OydOELpYo8ANGbHEomI4YDfQDzoLsDffyFhexCYQW7QsAw43alGCpBOQ0tQj2pRcq6vnPqI+TadP+Nm+kHx3vatvcc3dbWQ9tR/o516dup8/e/jbzIdO7suYunzp6Br25L1+FcqIsNVN6F+E9l5Snlq0qFgmP+w37a5x8rB3ImOyfnzMhp9Lf7+ag76pnnnuep5pfKCXfCU8+vkuuUBvcqT5//kuO6ej3rknfAMeC95R/2uwI4okScU3BUmY3nKTXKx9L9nLQiWc3gHLL1yXRlmyXKrAX7RaSIcXG52CpisQXZC+gCW4ii+gC2USc6jAYR9qEYqgKJrvnKi1WUsVXNOms+HNCFHFQrZpBmyYingr9STfbRIXM5HbQu2vKtzBOlauuK7nz59f76tTc31bw1wdq9bsM7B1vWHEnXse9/d8GCN4d3H0g/euOZaOoR03X+5NkrZ8/8Geo1J13H3IJ6KVQ29Zv4bomO0OPUqXQFvVEmMWdMq9DavZ1ettBe6Il5y+xlnoX2hZ4X7S96lntbvZfJFdtdck/+u6qMpfPkiLOEniLPpWfLNXQdfU3+SL3juqfd9XxGWxA2ObLAd5qJA+wUZXabCyjddVqQYolblltaLdjSYv0frjPH+wWdmxG5D0u/XB+qCVkzvqmwaETZfsFyjh/Xsej99D9fubTlVNP+VO4vNqzpPrRu7YF0Hc1PrUQTENeZ3tq949OZzLvnz//hg8tXP9DVxDaQS6ehOlZqa3zqV+xIwSiAC/FMvBC/hFswEay8wAsmu1UwUQyPJKMNKFEY084jPs9vR3Y6z/p/Vaqt/ORjlTqgJB82D0BaelKgUDNSiVL+2GbefFJPsRklR0E243s4wIpt+6fVxZa+MG3GjKkvOLw4vK9pTvRgfnlseXPqsr7/2PDfmCOw/4noWnwTznPkRYV5Qllwcd7KvG8KO4TXgt32d8b/njEJ7izVPbFi/FU366EX0bQyGYlqgk8ICTEhJeSEqZ6vF+rFeqlerjf1hnvzLfnhYH5wbFGwRqyWasO1Y1oCLcHW4PfFH8k7x3SM3zWxS/y5fCC/a8zR8KmwKwcEQNzmLanh80OyiLP8YSeWJuRk6cYo26fFtCptmXZIu6ARi+bTXtFuatinvaXR2q/pRZQTzgD8k4LiiFZQP6gkpKD/Ul0lsFEdZ3hm3u475t0Hu+v12l6vvd7FS7BjrzFLoH4kQQZccICUYGBTesTICeVKFY4YYlQaQ0poaaRgeog0qQpIaWPja21CsVSKcrSNW4WmoapKVZJQFFdtRZBS6t3+8xasZO2ZeTP7ZuyZ/5vv/z6CWT52AmnWuuWamcZ47sayLWWkLDJL8EXmyhVhHK4uce1QuiRHNpwVqmvhzdFIZrIW14Yb2KyaRG16U8NEA2lp6GkgDQbGuBpFq/XYX2fE1b2Mx7zLuQIc1tTOlR7p70iBuEpN7fQobYeVqUsBm+/0Lu7OaxA20xO6wWIqcBP3lFeB0awxDcuwDY6PqdFSJCWFUuy/B6pyB7qVWlUpilWpijgbZHAyIVE+5StFFUYZSxopJuKKFRNPqdrUgQPMpexgMj9rNweKME/UJOaCrwOHV8wqQjGhOMz4BctJkVxrWs7qh5/u3t0Uf+HSifbF82uPrdl3fr3ZrzzZ1f14IFBXevDC8bVdl/a98z5eFHli52MPLqoKxRuWHVjZuidZkVr69ObQ6o2rm6siZTatblzcvXH9yUdeZUirLvyH1PpPoCDqGUMUYlNVw8T0hLsYHnpKwOEoKsUcChhSSqdAlZysGzEUw6oVV3BBEJdISzYJ24Ue4XuCD0GOeUnoFyaESYEXxsnjKITnDXQWLwsw5BRzddcYC0y1wCNjATAUxptMbqVS8SDbZ02TWQUc0Ax3psp02BERI/zFhV/dMufgwcHhYTuVLP/JSeMLj71MvnYEC1vyzx+ZfmHFnDDby7fg1lz11aAQOj+GwrAHCRQiidqBtM6kxmzLSadsXC3aAQXbARkuvAnbQY2BeCjoSYwgngji4Mqwd+2ZxAj/K0y2h18K94cLYV8Y/O0MIYD3k6LSJDhBn7SyZMa2Tt1VF8AMbJctC4uM4EEq7DM0VVcJeAVe9IugMXxKKVJFs2ieamsPACMCTiqbvINI1HgGKujBxDNTXEv35UdfaTfkIdncumrV0fuGfjS09BvtTU+S708PPn9v66o13z1EMmAWMYID4a7DWVD86GiTH6OYmaHsNqtmRgJ5lRZZRXKFG4PQ4jstvPEnVyqvTKMkVNC77kqgtlEAKuhdcYeTc9MoCpWuzEZJqYZmUBNdilrpWryWdIjrpE7cSbrELmk32oV3kT3ibmkX7cW95FnusHBIfE76MeqTjtFX0cv0PBoVBuib6Nf0CrpMP0Z/p7fRTTqHIj8NoQBNohraTNsROBu/awXSfheEIgWTFZeoI0kUcQT8FHIwhgkUqFsUCcG8QCUOYX+dgpWY6Lqu1CMRKYdLh12wBcQPT64UJS6OyTf+wEI2FS6Zzk5nw6Gpa1lG3Iy775ov03Nevfsu9oLv6vXYHIzNjmzqMx+UrcSNNqjnZhtczi/yW355LV4RSn08lt/qq5k+uHnbw0+RQxAQiAiPkH8UImKRAdfQHVzrm03JcnODedTkTIZPqaIybUTKiu7W/XlFddrHK5LNl0ollt+HfLwsyZpoGcjmHCEilsplIN7iQq2Y0tKoSVgg3qc9yLXyrrBCbJMf0FvN5dYGfbX1hPB1cbO1h98rfFMc48f1EesT/raUlM0kSqoJLaknrDpnPmq2donPin3cceUUPk1Oyz9ThtEIP6694fsj/7503Xdd/8i6yf9Xilic3w8QFvwSpaKsKNQwTbhfbYN+ZEVzhWVuJ9W16K9MQYwKpmWl/ILj9wsaVZS4qjmqqommrqeo6MB05J+JIiJYsHyibiqaSk3q4yxVUURREFhYLV3XNESdW4aKN6nb1R6VU3P4lEuj7RRvo89QQnPkS67UbuJt5jMmMVlPNvx4k+cHOQj8qWF8y77V6aWFkhU3s9kQ0D78MgBkQx/ORN2482MVHRRDhOnVvSs+C4bPN4CEXs24KGjGQlbYMytt/RVr1g2pUSVKXi9cRRiKVpgcQvV61MoVruL5dz4dbf3pNevGkFiYHBDqsTdQuaatv3HVem/06oAQLY5aMFrujcJCI3qUrS3mCpNnhXq24lk0n4wX/9LM4jPzgt48s3B1kEZ9UcS+AOIFTc8We3fEyqA5UHKFdwfsDGyoA7IiQ/gOUGkM5B7G7SADehWX4HBb/tz4mRZf45mxk02LRl7LD507M/s9AP0Pr5lvka3TfW//lnTevkK6h//3DqBfBz76N6DfwLtGdQvrsZIMz/hopCSzXn/R96J4QvuBPuGf4CeEt3VJdwOZMGdLs9Sw0YQXyAfwUVmssx7xdQgd8jrtOO6jffIoySlvyG9pvzGucJel36t/Nj6glsXznCBKEuZ5ye/jIFvpQLoq1nXVkIGziSpzikF5nejUuIQuScSII8lBSOKIeknFalzhHEXhqCRxHOENFVCIaLuFrWXqfiVG9a/w0n6XApGMuvxDfA/P8TnygKtFuf0k1g4bXWZ2F9XhzSK3ALUYHxg3pz7Mfg5ijFqydwCU3WdcRAxrut4resAp1tAwNC0UFxbjNKSFyjIyOzW5LKPEghkOCuufrcwYLDPRWRkcq8xIbiRzl6A6PM8KvJUFfmoMMqZqhieIINbxwfyJv70yNzInPvhe/hj+zl+uLMj/gyRx/tPW+vsbb+eV6d/h5R35LGOvyvwq7p8QvzDuHdQjWGf/xU8jmaSzVn+Ncq7qwoFGk/Vpg1WCIlkBNWQl5ISSUOcp89Qm7YQpJ62kvTTQYXXYHbO6rC67a9Ye/il1j7nX2Tvr2+pz5hHriH3Y6aOn5deNc+a4c4N+5HyiThufOoVIOVCAYgCfAPOXOLYdt6gDHV0BwojL1JFlaluWosg8FynRUcSIkLrIhQiJ5EjLsG67luvkyMOu3GK5FvmydcEiVg7fP6LjGFpSStlXlh6VXTeq1CvtCveQUlCIAm8M1umwWdLyf7arBbap6wyfc+7127GvHT/i3Bt87cSOE0NjwIlxYsLNAmkCShM6yqNdoDRZSaGEhATWFgS0DHW0TYLQNDGxtDy2bu2qICCU0NFJI5P20DZNKksmdXRso22kzcC0aKKg2PvPuY4dPJTY9/rqfOf+5/v+/5zvHxPl/bB5FHuE2T6wlaAq3CaLhJlbHuEWNH7FRUKS3aEiam7mJNaDtHAtClsyGr/OBIWdwQIVWQQV+TNkTk8jU3oaz6tHR/qzD2Nxoz8Wt8AhfMkZt/md8YycrCRBz8Jy6gti9C93BEF3Ad7hoKNuYaLZbQtqTKmd126E/d7wP8ZSLzaURfavj6a2vSeEysQd1hI+NPv9Pa/u30t2PPj1ua9t+jrVOQR1eh10tuDvKAX2cfIbPbHjJXZ3FHaZPygGuMH14A3g1zVlNdxUkJChSojjuLEFN5EmfYuhTfgGXkfW6Z82tAsv4k7SCS3IPjyg32d4Ex/RHzV8hWeI6NEHcYU+bIjrf6SfwjqavZcFZ5TADgSn33WlHKw4qTUYid5oDGACBwTBcHJoyVZNGJZo3FqACsIWIxnH1jE4JDRQhM8oC5HOX3DKgpFFsTxrOWS5a9FYBpDxAMbnEG5Du1AacchjFQZ8tERZZ5poFZLU/yduCTNUtFkwbQnhc3Cnn9toP5BxAILll2HQBgTo60BUB1DpUgUO6mk/o9KipyTBr2uXKT2UIzYQ923CHUxTPdSpla4uc5m+LMYNepe4nB73F9z00T3F6IoTB3yKXbkKXlqNtaW+ap8T62qW+pwh8sP+jak2rmv2F7te3o7/eZzTa49/a3bzPsNJ0C+eWkv2az5BlWif0vq4FYfsVluU0C9dkckSDdjhy1XuQhWVlWZvQC6E/c4GW5xXHhXttoDGUysGglytZrSyvDY4Wlm5BQ1DP/VCuLeb7WkJyHf6D20vOPmZBFDGminopZJxTG2uuubCemKP1ZNYzVJw8dDLCKCZzuVyMjNLH0HHQ8Dhxlu3ykRjWNy8LLh+mbd7pcm+oaOnk9c3bPEue26hss5D5K2tpIu0vYGfqF73/HLBOLLmtdT9VTsGFj328dREYGXNiODe9jbufqOd0Oy9mlqLN8HqObTkCuLwAaUI7OFpQt7hznGE24uQDM3iaf70CbU7BPVnYU230YrW5OJIITjsqyOptbrX7h2AuaqAyd2MyVdhrvTti8Bhxbh6DYJ8F4FJKIPbShxu3CE3qsC4QA74bJZAQaFPli0Fo/biWilQ7qi1B7TltaFRzNdqR1E7PgTJ/MLCk4NAKcSQY/TW/zFqm2PUaSFEZyE6bSk0R7RphGYxBr0SNI9B9ggaRbvLRXbnEWoQnt3Yv1mjm08o6TpL2o+mLlQ/9c3lgmlkzeH7jbuOBGKXpiaCjdUjgqv77dSJo+3AwAayiF/P7UEu9JQCGyzvEk0OF18gh811sDliGbzCTcUCq0eCbLhuRtcdMjdONipmc4G5GJj3uPveYkQnhP8mUFXrDF1hUqBNEtCNOgqracOr9jcxJ+tyg5AtG7Z/kPj2K6tWlTa8WaMcfjKxM9mm9JFFv3+pNFpif6LueqJG2h5D6XR6Fhz1Ju3fSBCVgfg6NITr8QLkUwSOOBRo9hzmruYw4YjrI+IDdbqO0C4rXF2dw85ksZ/iFfDtodg0HPZm1E2RC0gFxfQxDHo+9Yxmr+YTwAQZ5i/4uwghv+LBKCJH2iJcVeRgZDjCRXjUHMbYq2fgjr5qwJ5BiJ/WLQRsiGEH8Tq8HYUUAawR/qP1rpVUWY/BGUrGU9wYRVuv0KDZBOoMP4CIvdoHMMNiNsMU/jFei2JKMb4ppkWySzwnkjZR/bFFPCYSkR9PvcLm8swnAKbr62Pr6Ux/qbnB+FuS4e9XwJ+kWDhyTsYyp7JXmgukmsZxGlB+hlqWQR0FlF8pJHiLB3so8R5bD7yWECkLpRQCdnV6mpc01wC7UmUB/RsYFBULqapbUUfqJCCO4LorxI8yxKNHoBrR/QzqnfidOIlLRoqKZ1Edj0RNos8A5VKMBNUul6QGguuziFxsE9nxQ2y8rNg50ps4lLib4BLSc4yRFfPelEO+n0VOMWQlGI0WxVMcbaGt68GW4RbSIoFVH6PBPp6bIjzv7cnsHJ+iGzDHApqP1gZvA2mQ1IxsmMcNxbWndnFJvh5wTWpOognkQIsUN/ZKVRIRJHxHStNrRDoocRK4xRMf0pSQ9HO5tZuxtQbev4Cx1ZxR5j8Zjm/67vqIz8iU8eVxnI9qZFEHzxMvtaM2WLfVi3u92KvCvTl4H1t1Pn4S/XVOI7nUaASNyh7SSB0/kR0/xMarGevHfqOasYE8fT6G5vIx9pY/AUqLBgEUPo91EONFtydKr4rFH4hW6bAOP03Z0T0kD11pKSBPzpuj8beIVa9GgRk0CqBlDdaQ8fS7rOI0efqm70AM3fPwk5NsnRhpDZg0YGx8aJ0GGF3L1qmOHvodQkWKiWA9QayyTLnhdPzr4Nq+YBm4NpOBaeCl7DwOUWPlL4u2hcAJjKf/zoILzguOolcCq+Usticz2s/MaV9yt4SU8Ey8kjzt81GNLOtBezGrvYh7RSyqcDFf+3z8JLo5p73kRTrQXn6IE3X8RHb8EBsPrMA2zfcw4X0Ps6Ii3s8iphgiorhJVXhFmBwMp8OkLTwcVn+G+fH0v1hxVuRCzey9h9PT3E0W68YMQ1/CTD6lEEPuCVGv1Aadhi3BCitXoGrm5GMb4YOQE7THxTbUXA6XLORR4yehphGcTGY8DNurrZQdLXlaqJiJLGaIYUqgKcO9cDp5vDZbA2SNPL8wqF9qSb0L9XQCmdBmZSnBBqMRy7wJcbxep+N7tBqkN2h1OqPR0GOSkYbnMUY9nEKOEULqzb1vZQwM63bAvqhX8C+ZR1UJ6hLhD6yzDQws+Cuf02fDf0714eExfDzVA6+/egp/L7X91APY9gg6xP2E/BQ8lwm5Ud0VZCWDl5ABGw47x8ngBQ5DPzJ4yarF2sNmuFMMMizhg6KRl5k3Tc52JME6zVJvURilzsLpoJYi5nAxx0StxaGzuwfOnO3ffXZnZ9Oqzs5VTZ38z/vPnOnvP3tmoKmzswk+EMWO1DbeqPkIyagSdynHnKJDIjW4g98odFu7i7p9L1n7pT0lRyve832Bp63T4j35K9+9UluzZ/X/uK7W4CauM7p3V5ZkSV5pZa2eK2klrbTWc/WwZMkIaY0x2AbXUKeTECzjAQySiYsfMRNDIU4gkMQUt6k9CdAMyRgwJmFCcaEGUpiUV9I0LU1IZjp0mv5wCUnHyXTGkw5tLXp35bRN93Hv3cdoNd853/m+Y22i86a8Ne+TNpevogvqbfSQ+iRygpjyTvnu4YoG25ayLhtmlavVGqPD5/OaTLjYk2IqlcJioczmCp/DbjGqVQApZ20yKVz4ZJjdhmAOqcXoMpkr4DGDdvAG3KTDcVMFjmsrTKxZJsUVFWaTXjaDnuY9UqnKaEIcMRellxllKiVGKZQ4LmVk5gDL2LVZLao1+e9dAmHECKjnxE64Ze47mq9bYPxg75nNLsxmoffhZuEADwBPbSpFpOQHoKGFbggR7xuEZ6nFx4bUAY0c+lp4poVVGTS5EHZj/RCvZTyVpNut8zAka0U8lS4rEDsC/zPPQCMLoKHqB5jYAhqEFpDF2EoPGq9OQAQNlQZMrzfIPKwAnpTU6Q3o/T85qPzLxLTj76ciiR29AwMvDX4+xPB93+/d1E2+ZT5La787upJfgu1ZQMsPDesu3sGLgzQ4VAPAO+ceDsvBXrq42//jHktvAVt/dc++CwEhDywPZyW1kHcp5Eu+uadmh3+/H9M7gE5Wa2wyYt4qlpE4fSkEw8qSKIYxjNvmAQjCwubbFoqyGyLbI2ikyMdB3BsCCt7qrFYIbZBiBoxPc1ABZ9AZXqHT2Ig3cJtOaZ9BH79gU0Y7IknNDBjlAzQRJlDCvASgJ5wdQhlpSXZc9f3O95UP8/XbPW7WlnkL1lBT7dQPS77F1DJrhCk2n1uYz83NpyF0uZbZ+TnROCzMwftzfn92rm8hJyDILaanOIESbgboK0CuD8kBmJBCnsiEaEMQFjHwlCIuYxMwcVjoLwSrUSN26zKxRyd14CBYUpytbNvQWteWf3Np847a9q6oz2/5wMZxjRP1DZ37ietHHNojPzh7/q+WafV4fvtPMO9YIPDor7r0Jm/yBGuUl2Wl8qj/TPzGoaXZsd6tkduDuVs/tzz14mjXdpiFa4trJSTEJIk0I3f4bklYF2ZSW7iu2kHpk8RO61BwKLMru4vfVTfQNNC8T7qPGLG+EBzJjGRH+JG6vY17m/Y2j3kt3gpvJeN1RiSN9VqVpGFZNuVWlDlrORZLyxrrl2VrUxzr1qoUKgokKMl+QLGWGVDJB+0UNDAsUFJpS8Yv64hm0t5WyFrzamcHmVGDNJJs8Laqgdq0qm/SuJhC0NvMz4lglJZIdhbiIXgeIeJi6IXol4KP5Aw1+pIysR53SGC8aOi+FWSDXtghQDKpTJhEjwREUCBCrHTxldHz1M7ClgEmU/xibLD5qcLK2ndPXP6QvEwW1rX3Mcl/vFqzsr7J17umdfPbPVf/jMaam6rjb75Qv7YhFHp9/wrzs4X8iph/1en1Ww+u7vypfflA3fDb56Yqd3ZuSlcHlr/SGUwPr+pbE+KWHlzz2KttV8Gspyucyma7H0mE2pPZVGpDq5BDPeA2msfeh9ptv4hgoI3Hy6W/oZEwhHJQ9ehkSaMR7v/UuWc8XxgfL+TH0d8WxsYKcC38FigWJG1QgdXI43xFq6JV2Yq3qiVKFVBfAl8gABR4h6wcd8llSIXKpVD2E+ABotZA+6TWyM2ExKSZ3imAMqu5B/kP4YAWdEGoSzAJ5uaIlABAHwKIUrwdpIsQdjB++Q9/u48O/ej0p/DzpOLTM+/85cyDdunxB+3Cfzr88DPJBORjArTwzymDlmA2uUKxgmiobE22h7qZ7lBvUtkk97jdVYTGzbJujVb3n1mjNRhNZgdtt1nLLU6oJx4348LVGkJbqcNJfyAYUikV5XK5D8ViEWlYyiHBAOv2UBarltAoFTHYRkepMtjSG5UJRMFR8uOkj4GFIMiTpOW9YxSgqLiTQchOspccJiWwXC7lVUg8ARJuoUa+VDMDEj+rEcv1nCgGORgFLieQVORpWlAOYpGj3/BUEHU85Md3a66HjOKkSR/ANddLsl4drtY7UBnmoQ1OC7CZKAtipcyWmCRuRSJSqHoOvR3eMsOhGo1aQVgWtUDhhxvUfkGKxArwDMjFCFHrIR9w9BvGl7jB/jdBhD1enUFLZZwkDq+7/eyZm0y7UU9ufj7If/Danivc0ejmmtVP0OT6k2yVZSvds37b89hnv7jRe6Y/9sTrWSNtp+vWJVoKIzcPdDfmGvMrklXmTH8qlWbXnH3Mmdmw74//ciCIBMEefll2H+KsRuxIAuHBXj5xRDumHzMfsd3V3tHfMd+1ya8GLgZRD+sNesP+yCR2SjlVccF/0/+JX9ElD0e4zdyTHMpBrzftCVZzM+hG3h4K6EKhQDDg93nLQuFIFEuEI1Ux4VrOeb1x+M75mhrawWeFtykH4hx1os4xJMRxiVYaqOnt9NP0V7SEHjPCF87JlRphQrAlwuR5hLuEbkRCQH9BwtfEE47EL+ElDZoRFUKhG6cl5mU64QMqU10pL+YXyz3EHgKRhpVkbrF6zOf60gJBYFu3kBaKx0KKE7VLpASs//4+gQggVSJBczoD3Ix7qUfrxj0orIp6j8It9ZjdGdeSACDUOgdiB5QDGMrhyiSDq7Q7GwCVFRoHsGJwIJVGB2Ipg4NIDbEv+N9NIIhQpqISLalDJS4nAymgZQxOCeSKVhKLMtp4NcrA9jIq6qNMoI/BJdDF5SKIUuMHl+jXV0D3r28VD1+/Xjz87vug+8qx4kenJ0FgYgIETk4VPywagGF0ePXTBb85snLTa43fq2YaWo71t1Wt7Bwv++hacfzGteIrt26B/LUbYNu13RPF3x+fKH48OQn8E8cBN/HPz7FAsDe7bp9cawr3HRt+2UMVJ8F7y5NMikKwb3GqFsR4egwy6qj5qO0k5M6piovhO5BZdyGzPo59ksB75fQM+sa048C/Ga/22CiOMz7fzOzt7u099l7Gdza+s32+Mza2zz6MX0d9CZAQF4MFJi0PFwdDWqfi1QQikrbQxmAaNwVUkAqiDa0a4fJQqU3gDI6aBGhoItKm+aMiAaIgFFG1VlrJupbIu+4366OQJlW6vt1vRj6dvp35ze8RrRE1UQ3V52k3qSSNiA19cRTc0Y3R7dGPozy6X6kTgNEIxpjJSla5n3waHwJ8Q9Xv4u+tGS7ezesFMOJ07X+AkcoBo+UzwLiHCUEaeG8eQ9q4hTa/NoE735lsKKuA8IzP7Hyyoj5MGsrw8XnbP6u8LgyzY41h8nkYqPwfGEAQfBECfJZxiU35xnsCKvjjC/e+89miCwOnrq0deXrnqcjTRVsWP3nghU0rdv8f227o0e8cuPVm34We7eunty3+5cGDP/2GyDEf0gHbP1G/ZOInh9PhLg2aPPXeNs9DXq55vG6XTLggdu73cepXMtA7pFJJbKTd6bCrnDhdukscaTe0DHlOeM9BC/GLbVXUDJWGpJdk8V0XeYlGWIJ1M8aCgasjUE0skU2NG+NZ5PhsNjs2FcfwMoQDnHLqFs3nPIiVyzCTYTbz+ZIogqyUeeAv5r/oITML6y6//cbFb//p2ffpAD2zbZvRxmqMLXRg4h16wuikZ4w2oYs3+DG6WHodUb5uhMDk5eFpwVk0M/mqqAxrOoaD7bCDfgBsI9tOtjO2kWwEuhg6KCWE6YyyfuCQod1DdBfL0KUvkyC/OuWq2o1xg7QaXSJCduGFcMA+2Y2df7vGj0G+eVus9hyepRukC9iBTBakSwmjckqSKLHJEqcMiJziL7LUarKR7CF7yREikQyNDiubcm663cga+r3sqk8ZBF99MpDEe87oyCjPXsEL33UR5oQ8fFcfeSf9/bPOszol3AcOxn1Us0leqsmKm6KSu6jmVF3g0BU3ODySFxzoXaCVan5KNbeuy7JSprqcTrs9ocKL6h9Uqv4WEeGx2aQy7sNFYdyhEaB27bYDblOHg1Pq4i632+tbFkCfIPEv+Tf/UOi5xdZZ8RRsjaKuj+mWoKc+5fvx6G6+f94vVVdiknPnLrG6wEp9CAbrTjIEBd7w8eu7L5gfwdpnzBIav7jrAoTMw9vgOvzcnAuvDEJgEEbNeYPmXwfFPmAkkvdars1HjqRLXLrP7dIdxOd2ownxI1Z8bky6CO4iXfd4CCBHHU3XKTapSN6u7FGoohDmK6L42mqRQ3M7iMLViMPh9foDcidrs4cCJOjvXplfGURrl488NZ7LN8YUyLEKiycsn8D7R3f/abka1C4hXCKzyimEUxIs3N+9GRR7SoG+xoeNMD1pLKUTEw8Yb16GENzaJ507ac45YbpPwlFzOV1KzyHSlk5eksakv5MCEiMJeCh9agapgDI302kJKWGN7uaC+bFH4vPLl6iripfEOqt7Xc+RHXgInmN9BTsLzxdMkE9ieVqhHNPirJnPSbRBG39k+vzIgviXq1aSlWx54bLI8uKV8SUzVlR9E3rpM4kBurNsIP4LdRzyOdN8fl7g4zyiVfkjBVXcy+LliCtKCmMII6goj5Xx6YXxBC+puTeeGaa6nvCAH7+BIfT8UJDNFEVTIQNaWqNVNTE5FKmDOs850IgOtWmtJBYJQCBY27PqbsoxUCK6su05dTCERcSFJZ67zCKKrLsE6eQKomvuqq+OkPLJG2f8TYUl/qbyzOSNl7049DYJhl+OJxtVfjM0TJMt9yd4HjVcjluRyBtFSrcYnXiEQQTIE1mVeGbxm4M9px4tKj9jnh15ftOjT+JszYOnYf4bu37Pv/bC6vfNm3l6kqWMYPsDy3reg0Jp1mjn73Z0f/fwh+aR0/GiZaOdlw68u/8mPHbm4Q/aZpt/Nq8+tWLuGnpt4tXWIIoV5P0RzyI5BH1SEfeTfNzrWvJ2+sFosCxUFmspb6ldWL6wtifUE9sS2hLrC/XFnPOUoFwVj/jdWimZzuNBN+GRKqskKiqmNeLT0zi9QsvAaNpTWsFtkQo5lKyq8AfrfrbtfgXGtTWmUuRdW44rjJ7c4m6LvlGE6yprikq8eZJdjVXmVYVJiRQJQ40XR0V2HM0MVISh2FYahmpfIkzCyvQwIfcU9ntTwjq7IZfGbNaa51Q0WeezFnm25bgxft4TVPqb3paO5b1n5+1duLyjpXf3wXX79q07eOUrC6qbFn69d1FtZXO2o3tmc3tH0zo2s6+i+Se/2tq/pKmy7/jBb21GVemvK970+BObCuP71zYtWfDwMsEci9B45/ErmB3dZFG6WqUKIxvoHbbBLYHkdt1xOCWn3aFssNnvSOCEDa10Lz1CGV2mWyyY7bqFnGakxpEHasRA7xo3bgmeQ+gJhfMkrVMOOITr5mbYcwz2iDLRyC6j9Pz4qJgeNdebE4PYTTt5gudLKWIjdrI1nfcjtkNCSlJkTmwSYw6qyGWq/RV6gkh0BX6J0RVDNG07Bx2EQkc6RI7D8Qinq4miNvMUJFBxKAlqolNxglJ4dFBkSLAmNIZXfkgwdjaVoyn81CZIl68eAgABGRtuZ29NmIxS0Sv9ZBAOnTYvma8N/+Pof3X6fDp/B93Dc51yCkxDYKDQpNE0nDgL5LjtOIvQ89hzmgB0DLEIn5pI2LUaYbK9maVsUgZK0lqYJPDnQ46pprN47FPYtejZyA+NBUN6rmD/ejYkNOX+7gHqxYdh9zx/op7BxCR7K/cC5mPD0Aotp83HJy4fRU2YNHDv16NqhMh76YaoEtUq3ZXebcpW7w+UnV7lKWefkyKlBRRVlRya3e50Ic85nSEnUYO38/J4QILbPEN/fVa6oyhhL3gz0J2OeDy6brerhNjzp03z+32NHsqYzSY3qnoq4gFPBkhaCwRCpcSeqlFBxfmQhL4AgsMFwgqjpFq215gq41PaOZ7zCK25aReqizlmjceso9nUL9LRxX6XeEj6xX79orUeXcUCheIPkkhesxvAkp+ABcrr5r+prvagqK47fM65d9/Lvh/sA9j33WVhobs83IWFqzxERMAY8JGukgroIu0EFbFg0FZrCiTFV60ZaxQnPjqmVayjG1KLaUmrmU6TGZNMk390WprSTJnaCaFF2aW/e5d22t299+y9szv3/B7f9/u+F/F5OFpSXfex42sWYxnWfJLaBdft+Mdw1IyMniK/TS5uWlX8LfwsGT41OpJ6h1NeF1Jx6intQSZ0hu3w0l6B17CCXiENy+roOmmdbDP9gqSL7pIM0APSYXpYqtYYTHJKRmBRColUZxXJMhQkZHJjZG6zHLKQG5Z7FvKh5bGFWJRyd0bGYwW+p/hQQZDCprihoBQmcwKXjDen2zgGjQzpgVkQi82Xr0tOQ1pmITPhMMgnfszykaudxUJRmllAXYbUOgNHKiXFaurpWFGoNraBLYzcvFnU29A8WER7nn022Jzts5vqkynB3VTFV8ef3zQyh9+DVixa+gv1AByUBTGom23qI/v0+7OP6mmJXOKWearl7eY92d92D3iGyZHsYfeQR95i3pVJIu4aMynwlZiJVa8wzdCUc0Yhsc7oZ6RRH5rBR20eddx7didXb45s52fTjoffPK83IQIm7SjAXqq4sQTkWFriDhBgQ6wgPCGWlmjw5Vdqp7Y2DOQU5P809dkPhq69/h6eor1tKyv24Zfn/nSys3ptS+9Jenf5ue83hZr+8Grqcaryk9uX/jj2gfjqjW3bU3mK7q8GN3SXNuAoV9n+1HpBF0QrQ6+xNloKQoiiBZRNJtXJZFJaQFMCm0Sqk0ikhMqWJcjl2xgRkFEA9MusQiRWYJIvFK23ZeAMeoJEkJT0sDIJkuVLbGIsbpUncGj868teoZzzerE5njvLP+cUFJw4eSiGToY1k/+C0gXVQsNirnMB3yP0x4susi3ZR6ueqUh38pLg4ZuLC4vvj71D6Siai2IMovgSohChCtbB4U+koIHPnYjQExhTE6RbArhHwgnRPjE3/WAnACQV51q4OgCsKst5DteCNgOL4hwTPDe5GHhX8PBfg8KPFvK4Z8CLbqcZyNRKNlsoIjI/RkKxQApCmqJPYHMGEKBUcgKZ5PNvk9MoPWLnyrnGnedXXisny7noYEY40w9SO+n2i3dTrb84TzNvLPZRQ9zBPW3JRQpFq1EeusTqQmKXGzkylBJjXq5BR8tdKh8MgTNIjv96M8vnSZCLrM3lckoDRqNZ8jMjY2K013wMZtA+h8mWH/id/SwQjb+gEfYzB5Ztbq6xpqP6c9jPOhVcJmc5QuWBlM49zHsX4zVb1RoisHgoApZAyFh9QawWaIPIa/YEkYaoghjx8z2XH+9aLUz35fHOYZAf4UaNXgcW6b+DPj3lGfJALfFZtuUH1xYzTp9RrTZK3CrxcyXNRatCjDeiUxskbuoW0b7esXJllbcg7NJlOXN3pDqXqpL/TH26s6q6OL+EtdpzG8GsElRAviC/h9o7QTGNgFXNlnlcuTKPJt9uJ/kT5ACMypzbJj1TacCGCZKArR9gi01YcdCV5ZopXMhe4Viw2bE9fiyED4XuhUhb6KUQYUPNIRLSz3B/YnJ9gnjw7Ktp7AJHc3CdjwGMoXEgi8m52LQqCeTMGaPlPHKoXg4b8lIKHx7HIh7ioDv1Ip3R6YE+hTePbPgVcfUf7Tliqww62ZN1mdi8uqypUTIkP/Pam9VV2HdKpy4e2WKxVles6daIqJZdA22FdSvUMqlBIawtdK4sd2zui1b0PYkeDXpxnsIAHOrxRRrDOk715JNpcpdHuRFV/bzAhDV3ITFCJMQ5SA75MCOhDmG9j4r/3YRfMh0yEZPSJ4lnLhMWRDwPOKmEIaya5R3ccp25+IzLYo3Tb7j3+J3E6PHEnePrt3c0Nbd3CB7ev3H9/tT1W/e/t/s7g729h/v3clg6iJDg14JHKBctsO6wMmyuoeqV9eZa92bcqo7jTvUB3G/e6x42HfEoywgOiG0JUsf6JJTfUGYgC1CUiDai8TNlDBliFhjCRHIjCGmydXqf16sXaxIkclNvQLDcYbwFhiYDMSTIflajtXoy6nUqLdZ25dm8rJd4udtan8sjqG/zYeSz+YjvLf+5Kzxl9QBfzcY47oIUTMdU5VBjzvGqeAmomv5zrIc/Vc7ymLFlOYVyhxuMljvbYxe7TqMcqfU0dgptp3GWHE7/kcMAGNwTc3sYD+Eth81oUOsAJiI30F1JaQXcJbwUVus0Ro4Bn3SHN249jwumcPOtw90bi9twd/Ld5ry69tD2B6OT8RO3LyQnL1RVtmHq3BRecyM1kXp6NZWMRSqFl8e9nujVX+4YxsYT+3+S+senqQd1t66C06hemhG+T1egYlSO6tEXbFs0HK1r8DWFt/i2hvsFIi9b6ChyNwiqFKvc1XUv0K2KVuUGd1y0Q9GhbHf2qfZ6XlFpNFYUVUVJNGqsLbEeC1wIkEAgGLH+0Gi1RawMYxPVWiVBK0IqaMEEeZnNpCiJrMStCUXdgVL2UQDnBCoDowEqkMBTrNJf7EIhlb/Qz/oP+Wl/Ak+zRrnFbXVUuR7JcY68Ut4kp+SmtUWlaV3QwzlDVTK2bo6rTg98nearMwsQneVWaFcAY0Fs+ZzWR5hzH2A+/gedaecBmo2pIBw6jTyRAXeJ7NmEgya2855E9H9wFf4m+OTmwcl1Oz8eeGty+/ivTnfi+OGN+8Pa69b41OErnWVe9uKeix99gyQxqTq5aceoJTlJ6hRn+gfH3m768pt5ZV0de66Zlbjmyu22zs628YOtP2o06bJMqsGO3HUt+t6hxmAWW7vmXCr1sjb32Hc37tuFrW+cuDDnYNSOgobVL+5uKYI6Hl0ap+P0DlBmduQn9exSJqUXOFBehttUi543tZvEehP22rGK1gmsKqvaqtE7aqk1GQ2qBnVN1lrPFnOnvj270zFsPuT4wKzVmP15lN9c4ChDAjmSEVpphhGq/hv9DM8r/013tcc2dZ3x87r3+PrG9rVjx77Xr+t7nQQwJkAejoNLbgXJGIRHKaJkNBkrUAoJE2aFAWs3KgbpAkjdSgcbG+SPbqIt6gRkEGBTh9RRXlmlDWltNWBiaShUDCZ1jFfsnXNjqCZ1J8553MfR993zfb/v9yNPeBurFkRPIHIlfR3cQJ9jskh61ttZ1WuQraDX1av0hsl1eEO7D+4jci7xCfgEf26Qc+Acukfwfu/PE2/jdxLkpfDGxEbjHZOsSqw0N7k2KaTb+7y2umodIEEwxWhBMz2kSk1r442sRn4F3tc+RsMeMrtsmvr1WGs12WSsN3cpbxhkmbQ6sDr2grHdEHzYMF1uxh81a1JC8UDo8bzsRn52JWFqBhkTR2kMAR5DPeMVlxvH/SASdFXKHjdLOziAFvdHIkHqZhPLVxmR5THJD+kVeovepoRq6YHiH474AnV8tEyXUvdaui99O41BWk9vTv89TdLxZNx/xX/Lz/aFfnX8CViLfgwexyjjrflUigsbxjSG2M/Ly+zob1TKZL/se9wTUowEUXeONarYAwPcac8uOs4oweXDZdnEQPHy0UjWMHxZk00tp5rVjMqsZsWyDFlYSU618/qUz9us8lHL59kWVmysamimga97oImTmm7gYfApGsL/IEPGrbQIO/KgI9/Oh3wHzAQp46IBxebUtDrD4KpeASwxaKm4Q1iq51X4F0uXdDUH42/96NT+TSs7u6eoY2DV6fm9wcXLtvbXIU+hec5z239b5sDXNrf2LmxdtrVwcWd+Xs/Xdk6fvroXpqFr3KHWC+d+uhzeGDnefOFCW3YcA4x9hafJXKY5MDDAq1ZmRxy+FN8RQ13xl2JoidIVQx2xjjiaFZuvoDbfrChq8k1XUDwqlxHirw4EiHdsyGNwvWYlEII5LPo7A916EiZBDhmk03jV3amHYXi9uW8PJ4S8nnOEtysdQ/c7Oc7Oa4a8wUcMnTcYMOvLWe1jQFCi5A2Z4CMsYcidQZcGT8FYxaTkycyb3127NzSg/ufcR8X2Le0NKiJVg4OF3Yb327ObpqTefK5p1b7X9gTO/+3Gr7/V9+LcmUu6eaUeLnTDP9peS2DuoYhtv8msp1iUz4Mm0ihIjbjJkRMEMadTSM875VcSH/87xCOMWT0yNKQMDTFSUqOMDE+aOOvpRUeIIDkgL1nttvHljHOWw99/2Je5Umcb9PrDu4WTsAU7WF1eCw+QJiICAdQcRTxjKskAjDJShWClADSKVfGZb/DIHlK4EsuBmhFblLIvZHLdSZrefngVn4EH4NEDvM4/UzxMVtDZjJf3WFOI6BcRoApFjPdgQpsR9iOEKcCEccw2QfQzp4gAKG1DkN2BVGRahCKA4QB83vKKrDmgJgmqQ9qQyHNKO2dIGWaHFALNs4cgz6Gso2dCSmAZxMZRPTE66Xn5/RL810JIqyshic4snCkopw0Wfm/Q2XeX45HF1u6HZ7nVEwpPkSeEiwxR+63OFSKEkgSoU5ZFNRINAWhEwqpToqLDV25qQIcOXC75lEAoGq0UZb8oytGQLBJNjDqwHJICEQWGI9SR0thLIo7oHl2DmmZyfaQaA3D/oT/bH7RDGe5gbrDClWPkIseizzvKx6H3MSxwbWTjhm+UZjLAYA/RElLwjodqecYOy3IzU5sZJeVBO2UpraUm5sE6wVxe29CkHDobOhuqCMa/0zGvx1xR29hYXn5BvfCetmlNZ6Frb0XjEuLbsXVDempr1c9CmZUrdjz43a48j9FauIFMJuNABUjDgLU0KZvuVEXSMCpT6ZoaCpDHDVSX4an0oohb83hVLREzIpVaVQIl1HrUINSrDZEW1Cq0qK2RhWihuhwtV9cL6yPbhG2ReNgZ9oXH+tNEdso+eSxJk6RuDqC+Y9X6Gn2zjhgTPHJY0SV+yaWXNeGQHuTzlL5G26whjd0+4oc64xt9/X4di9Un4VSQZMc09UjSNBW+cgEJTu13la2sSfFlEGjsZjAU8vMVYOE29RiEYOWEvTs5DeREYjjHoWGYLYYVrhaHuWwcYYDBko71X9z8YsQWBDzGGEh0lNdzBhGssA8iYOMDPwH81ZdrVx3MbfleS4v55PYGa8v8XPc/51r5BV91EV0d3GDUx7xzplzMNYS7MoUWvo767HVkVYafTpTp1EGhi80EsNZ6EkEEYJvAyr9AEMtjcAITP2aJBREGRMRCG/PVSYiAZRb6Gr0B70K0EUKoivRfibdesLMsz6NT5TQKhLhqHMk1Qx5/WZZtPMl6hFK2TZqYSEiYDD6Yh16E8wr5wgyh6/41/MHDLLNnG5iBr+CPmF0y+KElS9glqTgqEScDmfOW7ECOe5TK95zrRF5y1UgdH62wx1snvitZbC1Zbm+dtB+gz2CTcI+sA6Xn+Gj52HPgXYAVrGOMD5b9ZqNN4kcYMtonlUrZU4aRoIZlmC1joAlhbbndwwUQ/6RwCjbv+j507Cl8ALN7kFJohGfgmULj6Mi/7g7mw6clHzZbsoiRVIF9EoGU+xASZOdjJ7jFojVqfclQyeYQJSfuMSc+Y07w54BlW+/BcYzwQdcvj8Nt4P+Yf1Nh9t8p2c/QzMSjfbDwYBdsLpx6/QeFu7thU+H0bqR8aTsfWWiDWwBQHxhkM8o8yFk+UUCQOHMOB6WEYKczJw1A9TDNCWw4hnPgfBmvLsqdEf5XEj/KzeDkSRNr62uZOBn9vzUILw/CS38atFuxWBxhCq+djkdVLPcApGAaXAFXgcQhpPBPIMveOqUMzEghqJxACTAWLtsKuDqqB4/eFR88fvevcCF8Coy3VOTRYVGHuhWK1umWrNTpcD7fI/Y/e6Tya+uLRbC0eE24ZO8yubTLebaLYcmoJt2cRt9MwzQeKF7t5xukjvMN+NsdHfXslF8pXqPvCX9h0JAEt60+v+qPhfVwkvyX7eoBjqK6w+/3e7v79nL/b/duueSydwnkwJwhZ+74E7mabaVqi9BgbOMAKQilFJsCJ+KoxWCpRttxCGIZa60NMrVqlYKktBGnA1SFYhtFpR1n7BRso+g4EaYyWAbu0t/bSzS2ZubyXrL33tv3/f5836fEFdub8k5RulNrpuDK6hU2ZuNZG1PxlI23C1D9cMoLv9cOe7GP3xXA7yqwLgAbvOv92MM3KshjViBiGnYsFo1icJLt4+GIHQois2xAPWmrnvqmINoRK2u1W5iyllloNaSj14e/mmUOw3a2jGGKraM3rN6UhnQinfKAJ94wCLlnH64ITldvnqMmNP/sMNVrV5fM9WFSnm00uh/XDVEVFFwdWulYrkQcFznShWp1qanpcIjVpawZddG6sPxAvYbRUCTXEgmHUBy4uPPe8sflNx65DxKQB/0+3la6FTtLT5X2rzy4/NSOx945tWvX8ZH3huBK+BLsPXF4V9l5puxTfrS5/PFb5dfK/4Ra+Aq0QI3MyutG3xNXkhtNsenkSD9wvpeOdnpxbmzu5HnpeY1zm+a1zM13qp16x+Sl6aWNHU2r9O8Elk3pTnc3rmgylrRcn8frYovj2BLLTZ6Tvrwx13RFS0teMP80FjUb/DNyzYmt5g4TTZNnElW5RChUJRoS3EqwmlAN1khrato29zY70xyz2qnJnTChjbQ82dJ9WeeYAYasX8pZYxA3OaG6KSc0aNO+pqEWnznBjZYyxREyotKUlv7HiFZs6Diht45LStbVIFmAhfMRlxkkWTNeF5ugK8G0KjLbtahqxYny1689fMfb5ZENp7f9eCjnHN34dwjhxTN8oHdFX+q3mQ8Geo9fvHD1kgd/MLjv7s5t83kTzvP133rbE7tXfAtsYE+B9+71N3StKb9efuNXh9aurX58YDW8uP/GnuNHDg8tPxh+6Oe/pJIZvQgvK2txMcXHdoJAdVGtpogj4srAHeOShTXPJ9LjlCOKsh5efuABqZ8YvKwzd12145fr3GXuqlChK0SqkdaEaQ1JTrkEWQf/CBdRvXmp4t50lvTHd8fxtDht4AlxwsBXxasGHhAHDNwtdhvYL/oN7BN9BvaIHgMv6BdM7Na7TVykLzLRp/so0IYuLF/Qy3jwfICfx4AfwVfws4KfpGS702ysFZtEn+ACjNlmIeD3FYLBgGNV5wMbQMzWC0STBc77iDvjk4pPVALs0h4JbGrFhcqMtXVRQVF0Kz0xNAIVV8dCR0NHqbBuLpILK479gOsd8rPcuIq6CXMwD6UaF186K8/hJ+Mz5cXXHu8ttF9ylbW489MZIXU1fx8XqEddpN5yFrhIndHPmAg6aeaT4qSBx8QxAw+KgwbuEXsM3Cl2GrhNbDNws9hs4DqxzsCV+koTO/SOMaSCPi9n5tOGxMbnJ8gCBBboTwv5jywQgMgKAIFgwUd4TfVbV/h8fgmXfwMJ+AIjyKaSwgK4yUWLaKtwdlhiJKEaDrlzakESo9LI+PhZsD7BqVgk3KSCyrkua+rMmbNyE+adh5KZxZfOnMHfHJ8o/yGA5iy85OrY0o5PZzIP7+IfwUI3q3qcmd/X79fRr0NJwD/EaYF/EK8KfET8RuAi0S1QF5QsdE8gUgR99lrYBH3A3WyJCtrLvSLlRErmhO/R2z/NCbqdvFwXDDN55YJMA3mr8TvJ60yM9hc/L8Z0Qjd/H77gRvYWJ/2G+JfAZ8ULAv+tw4P6Yzqu1zfr+HV9pY5IzoHiNRYeGz55bfZJLNxgfOY1x2JQecEx9Nl4ksosnQj4xs/DVvbpBdCmxJRVY+qhe59eIClNUvwpx+OooJ5nGmjyrxwr7AHIwlbAg3ASsB3WAfm5NVhgazRljbfg0TxrHLVd3aruUBW16CveP0Zfw26JnaXiaiZKKpbOFUvFc0XqF0DvB2Qx3fHPQ9BzcTb/U2nfEP8Zedh3nixPGhqS+qyZXvOIuoX0mYc95HTRObp2DwOTaRRFTWgecY+imorQFdWjezT9Hmk1dUHlI3T5jNMzTeEq4yjosQ6KrinCAxqnLZHrQQJ2tVdZXfULKS/fdU0b8So5MUKUjJo+Joj1MUH8/5PLsh4kwWl5EBtgZ/mba8u3w72t5WdIgK5St5RmlebgS3j0xtJPSw/jKtIxdeWF/EP1BdIxS1wds4X9jkzKJXsRklJKGZlsPphMJs8keTK4/JoMINY/h/UVNVPMzJCKimmkqK7S3qY9CpU9oB1sVkNaCMJe5i4yJ2ooWsWg3Dp6hE+m+uGs1fFRW2/jSM4BGR+EO50q6pFECBBXXnkOniGxGidGIEKQ/mCklQxBxr2rSuK03KrMf/TCQKvmO39W8srw6Cmlg/ZtZvsGvo0QGRw9OeAP5xU5esL58NjYNDj6F6c9kMg3ZaZPZ2krRVMrHovZpkjbel8DNNjJoG0HkkmT2Rlu2nGPLvwhjxZUA7WpKVMVbzpZbwcCXtLjTdOnW5c12N50ffPI8ULob4VwLtzaTKwsCTlstVLoqGhJJRFJS8UkWxgppIj8TobROElOKAtJXnZBPdUJ9XBRp0VNi4aYpGgydJNTPD118qxcmqqdhkgD0bkl0jz25M1zZ82uwl/XlG4EwLsTpV2NO9b3Pr/6zofKhf6U9XBiNYcfJm65AtTH/rh/07Q71KaF2RsWX9cbNeYHe99Z9uXlr1wOt13b3dt4mRnthau23LBw/0rZ4Zawa/BS141c+xxjox/ujbWSF/rQqbJaBRHEE4y71iqGcB43MPWv5DYKKZ7lW8kh3aQNwrxnF1VcxjlyGCMuL0NXJlPxRfTLs738EszZjsFyKxyBo3TiJjpxrntifp/gFkeUB1gK2TF5hjygjfeTiblJFPdW9n6XNh/fu+JY4L7yx9shWz62HSNwuOyUs5RjFlXuBsqKKIuTh93jfCOme/3xKj3eM4n5EzoYmOGJSCQcJpuiVUerrFispqbaqZ0UjycS/bUHakdreW11cmvVniqsmhaJGM+HTTPqMFVRyOFuI6KK2xvb3TYj+2HFyMh+SNPhrgWh/3JePrBNXGcAf+/dne9sn8//7XMSx05CTIbzp4svAYKxLw2wBjCUkrDRKauqpipNgJGgsdGKhmyU0FHa8kcihNIkdEMdqsYgTnG6VqtKC9LYQOs01K6ryir6R12tqlqWaQPb+96dSQxk1bRE93z37r73vu97733f75vq0boSehCPasfadvMrujMcOi+3bFclyWrgJd5WjKwGSzGGA9PfH7FXNEQaFH3FAdHc7oi7wk6jFQN77ezIyJ6DD7WVNFR3LLl0Ca9LJpPM0b2PvPCSd9C4/EdL9954mP3b5cvX3Wzo+p8hilFfbM374rTuCcYkyLIXOV0u2EFhJu8H6hg4Eoi6Q/X5huXfyDmZkYuKC9zgstnv8ETRrJ6A/xlnJLSEEYVOWjwUfBOP2v8fV5Td6Ya2253AvfrvZXRft2ZPsOXcCeREg+oaiyRxnCHI86LZLOwxGZHNagXbgxC07A4H3uNEosVis292msxmUMcKNgeRURA43d7NhDcYCFFh0xMm5toCmYamxJvWzqzx9O0kNRrV0Y1B725arT/qT7CX7ZCMtCtin66Q3s9uxgfolcQHs5volT2Be0fJn0bxD7NPjWbCo9lnqH0TpBvvZhZohCzhKCJRSsgj7OigplxGOy00I0/8nnRDYgM6yH6FF6M/QNbdrFb9XcD7hRGB9Aq7BMhJ+B0eJykrtPGdQDI6GwAVaHwgAxvADALTr6EB1gi+gAwADNIam2kgO80FWCeXnp7IbFxQSAXApNmvyCpNNy+6kmdSJCAX+Yj/6A4cHeFHnGQ/vz+Po1v5rU4dYDuFThdpE9pmYVKzxqSWqCjwmk3VOvOAVdNIKlIcFWdwFD9L7SyA92kgnSGhND3YmdloFBWSO+rFHZH/GUdnhVEeVeZ+y7+v5VIrKkXz0EK0FLXhJ1TzID7MkDEBE4ZJkSHVSlkFASzVhyEk2pyvkWFkwQFUTIZVM2BKE48ZhKrWpMjwmcWLG1+H1+Xwugq1QkdLSy30J6vM6x5NvEaGkIpfQcvI0Jmmrnr6WAmPYXgMbPTSRxM82sjQGPto+7oUTo+VHd0gh8NT6Uz65vXJNLRH9SInDmcgrTtLK2UHasMDOyDLyxAJnuba1lauDq2oXFCphO6q9Ff6Qu7K+6LLAujeWCKA71kCd8vvhrv5ZeEAaqioD+Cab8Bd3Vy4KzHYAqhI8AawQ4I7lwh3bYvWBPCqODTfWtoaQCuboVkYbAzgyBxoqufVBtA3Q9CUcsUBLBuhsVudAeQxQ4PCBX84PNtfP+6gcIJpnPK4XYaK8tB8F83jjQ3KXAhbvOFrXnFfI6WS9T/JvJR98Fj/zpGnD+wcObS6eVEwXF0ejZXVkLuP7dw5OtNbU76I9kr0270Hb/220WD81z/Z/gvjr7z51oVX3x7sqokeHYzX1cZv9Gp95yfePtxds3joSKyuNnbozq5cLpcB7lvPVwP3zdG47wpWcRcqGyd2VbIrqdyls3aXKDYT7C6kv7DGjMcRYj/TZKvyst0gO091YFEtDSpIPCWSOvEBkYgklcklASKxY4KOQofoAPKcZf59OE7nP00cFF3NDp/iEAE/Cbb+l/k1Zq3KM+tGYNboWYIlVS5RJDqCyx9UJNVqV0akLyUyIv1KIhIQjzSuIa2zUB0YtWEWq1pwP2hUpdrwsOWUhXzf0mchqgVbwKbrmk2WgkF66Aj7KBprI1TrNuVOwQjh05gHjca8PoX+qlJ5pVLHYx7fTwfhZwbRrctdhcC5vmCUK7kL1DOqE7NqRFFY1R9QWPwgFTZNC+c9w4Jsg+YZXfYZkC1FMqV5geg0b56W0axuhO9+WTBbS+6DvNWcChpzKmgbhAKOpHInNKu5WxSGER7Kfcp9oI1Qn19Jqu+c00QrQmwen7Il8GGABBhtOQPT4j2zSl/B50HaA0UEKi1jGNiA5TMKz/J9Cz6nz+bXZjOLyr3+L/3Er8/mL1CWSo+CdLkmvSCv6x66QmoxllVRUlbLOCDXyaRPflYmsp06DMuFq6x7+fZRrmijuFUTxm676565GBdPC832fQt+Er6vUF3YQ33c58HDHuzRp/PcclAoEZyH5jE2BPkhRHHdgEzci4SphKorCBn2RfbzdzSYBhiBoBwH/ogAd5xParwIiY49SQ5wb0Kd16q6OANUZjZCyADqZKFsjRoWs9RtdqOosJ2ok+nDUeLjf7FBq9km5UTGNyVnMmFogQSi6UxHNEoBh69wRpwV+Ds9l95946+/49pOYjn7GdXVwJ4jP+NOQrY/rNoHJKwKDhvPsWYvarLGhRRJnXHG2RRJqj4R+bzeInGbud+WsB/zbkN9su9q2dhjNM9kpq5NZlYtfXgJGJT45IsbmWuQVrw6VVa7PEYJM+5KEnIxnnrkBpe4GG89MkrmeuwmznrswdCYLEK9FuvhbND8RMN6PwR2Z2g+pU+Iy5CuDRCk9dDs5XHTwvWx7kUVwXL+x8ymtvgjLYFytwez5zbEYo2lFUpv74I5slxHrfSzF8k+7gFYkYoJKFrfUK0Ol4IbaNEL/qbe0wveukQ6TGGtzO0nW9iLhw6BbC07TnZwKWRBrWPtAGCQlVWTjcUsLwgICb+GrM3DIR5WrSp+nf0iyPskeHu0WQ4De08W+RKZTJFMqyYK3nUdeumkGRKaG/FQswh53Hqkb+cR6+PS2mVr1nKpHbuffGJJSzPV/GP2JH6L+yloXqJKBHghioGKLrLv/YPuISjFMhrBUr78+EP25NWrsMOOs33ExKU1hmtIGndZEwa6gi6UcO9isGGXI8EkxF1oo/zCdjpIxjc5SXcL/MpTcFFcvT0lQkak9H+8u3V5V1friq6V8XA4HqsOx7mm1q7ulYmu7tV1qlpTo8ZB5+7sd0kJzO1GzUmzUWwypsj4uPT8aniVIverVoJNYpP554ZtjgQmz+MUjo15vq2rYptMT14DT2V6ptKT1DDv/Ajv0TWZOz+fm0Ohd5XdZe3rntt/X8ysln4v5PfGhk53m9qVFVvFH7BFLr+jxAV+aIKTdB1OEgML1KyW8RBrGRsUDgMGiI7IEOV6rbCMfwFix73IJ2yZwM8hDTETk2ngzMkMLZmiifwZcjojTASupu2f//Fi36eXWe0M3TxHZ7PryCYkIxtqV43vQV4LWpyKgWYRXwn8wvaQRCsyCUHjXUZibHcwWmKBd8zLVvwyWmAdto9O4N3oP3xXe2xT1x0+59ynH7F9/bwPv27s2LETSCiJHScOcXmUoDSUjCwQwNqgIxQKpYxXSKEMSoFtDFCUqmyI0KxolRhbR9kQZHRFKKXbwvrQVNi6IZhEN9Y2bH9ElTbim/3utQNomnbte+7xuTry+f3Od77f9+lZgH8fMwgC2EHHI3BLHqDvMbSJx0BOfd3tnfGvzGpfXtc37elesbttbuf07Up57+ouWEslxD1kMEhrzgUMYiehKQaBUJupKQKhgEDo3ZAHiTve978IpOYhgaRnUhFqJl7z3LW/XP7D+4x4Wg8dmHLF5N/oz7kYMGXKYMpbuBJ/A0k5K/7nDDzD69QZsu4hQxps3DJ5lzrLXIE5XcU5aAAhY87zMMdjzKm/SMpLVade9yWXtA7cbWhuDj31NiLkp4jDqxELsjtCIdMQogiCUsecpN+kCb2N5bgwwWSI500fq7oTKzoHh7GbJWt4D7iqUPirbv8iggtu3H3ixAnm9xOfUd77r0z8nfIhYqieZcwwuNcK9Epu2hw+QtVGCUFhNcgyxOMOuhAfjcbiSgykfZkcV91hhmRQPvb15fpW3gGSXwhb2T4GErtGB3ZWv6EPrUGPKS5ksZqtJitvpdmAP+gnrN3msAk2ipVkUfbJFBviFBV7ndD4rWEVyzaPigyaTMK1Z6YQqQfbCgzp8zo9bsJybKRCBbJMwVGZTiKGnR0cGsL/Pr3sxe4tmw9f3TP/iHYWZ/pP1c5b2L7z2AntGh7Q1pPj+8hxT+DJVdoHI7e1t/tDwk9StfPuvnHm/Z21mnMf7MEC2GsVcuFHlaA19tqlkJSmGoNdVN7P0siNkkxUzCPmMfCxFBZFL8tyksQoCpIpGNCfMu2Hh+jzsIQJRDzOsOhjCY0kRZZoCiMuwvABRWYoGAr7w85aJ3EekWgonBIX81ssgSgvJyPRkB3bpURdumgH28cgwe2674VaCq4wP6aXHt3WwAPpfega5Yhz2LKcg8/y2QPwdfC7RvisPlb0PFG10iSUVahCJIAqrNDEzYEALneEAzhqiwVQpQkaNGVB9MqEgMe9vrSPQ4Ib6XWp3oGANn2xWJyJp2PYoEzj1KZw3R9b669PO4Nz2mc3Jo/kMbnSuHR2NFWnjVX/YyUe+cW+vafffOlb55jhVG1Pz2LtqNZb0P50ZfdNzGC/GFnQ0bR7zYZlEz+8PDr60ZWRD/RTxAIynzA0SrakjNpBo4i6pnGwsq5pHI8KcZihah3UPePcrSjO0JUKCuUEjIL4aPB2kATt5frhCz44fPni6RsEpV2AnbcjGTgl6ZDddkfQ9gmS5CBNfYIJ4t0xhzlsJubpfmIP4zCwUF5pWjGlc/RdATIb17vjRctZVD0A2yCcIqKqAvR1bofqrg5ewWv6F67vX3pP+412EL9waXDFkzNe1r7NDGvXba7V5zcMawXtOr5x6MXl+zw2WN8Bba2BTDcorMO5Wa3hJfRSZw/9jPPzMJsO4QTvcSOXaKc4iNTPcaLfbkE2JWqRywnlclfgEGpBTwG3SOr89NSas9kSrgBYYy1CCUVFTeOXArzNVFEWC/BKAEs2aPzmYADLVtHAyCMQcUGUKV3B6FWMGPIlLlCP1NQDP1+Qbl1x8MN1W2/1LZ6fahV+tK33x29s2XxWW8t1FCbapfJDk8dOaRPfVeW2wn3q1O9GRj8e/e0NyPAQDtMm+iDU+cnzcRpHabyzbfHSnC8omFkLMXGsheJpikcMRgwxMb8k2wE0FNl+jnDYpP/ikYVsz4mIJQNJjPEAX4uOItKCFkFKzTT/uJn0IxO87UcMMG4/JAiR/pzXYmIG6AHqZ5bLFnLSgsMWbJmwDl7Ee4zqlc/ns9LERFZ0fFH6ZFFNfhOM5acGs3prhwuW+xab5H81eR1xYKMouC2Tt8GzIULRDMvxJrPFgn0NcKGGhu62jqU5E6gHE6IZmoPx7m6ojnnQiBinMfaBOcN4CDdpV/twI870ar/GjX3aVe1d/H3cZHRxZof2nvFae1dXKuQm/jNzDYJcBP6p3Jmh4OZ4hGnKhC7g0Dmeugvq9/WcneN4zJvqMUgvaqt5yUVcYwSb/RKQois7qNmF7AOI6BAQWK4+BZJVwG09fbOO1awnN0myI/yCe11zQdB1Pvw+CP/tRxtyCkVbRbJV/NT3qThB0WYGy5JIcWWi5JSHyUrkx6HzQlm8xYZtw+QCMpOVObeAFX8jl3C/g8oStjiSAkUZa4iXwtg4rKownr/jKBSETKakxvGmPNrkAjRG0yXwcfFUUelxUDY41SOxiRYcViqemDv7cc+rgSP7X/1e07TXFkfwXnIzk+n6KJioqp1VM8exce22r3a2NWxuju7Q1Y9KRsl+iKUKbcsJEd7hijja7XYvg+O18PYSLJmBKBI4lLMGpPjX5I0yaZGxrMfihVikALa/5kqE43widgtJCTmOE0iqngporBhRYdwI6Zt6TBCZXlAnMtiZESAyV9rre3CkoACmvf8dIDslI2Nqvztc1TS/q3WJ1WPjvR1t2aaGFt+RxK7eoy/Nn9PdOdh/aIAasme9wYXpx7IEP4ezVRV11Y2+dZ3PLkp3ubyr5+a/sxEOw7OT77EHDU1ShpLoVs5Xo+Ca6plqS2yu2qmeqbxU+UWlXgsvkB/kVITdkKnKhN0hUIoNUZjQ1VUWK83wnF9UuLvgtV5/y0KXAepyJou1kYAnbRffgbSFgJ4qySpkQwmyKmdJJmG3EWWyxZVh8jRAI5BzeRLljclkYm01Q1vLEjTPjdIX8NxzVUue0UH6ZdahuwRAK8C0MHbHwGvWASoTEtmSLbJyAfJZwm+xZsKdOTC9apdjRHcsKO/DMzH1ENT/D0V36PYT98+lSrBvZpOzdEzNm2dg6ujLOqZOdgKmMqz1X+OU9+GxKNANmSUfhgBkzTWz7c8XQbalObID0Ua2D5eyLSIF41zYK2CoNSQhVCmNQqPShXrQfsWkKD3KNgXkBNITH6CIm6IIZNrIecCvCE7RJgv/4btcoKI6zjg+97UPdtknyz5YHqvC7vrYXfaBLC6wIvJeBJHloYImHEVRoxLj8Q0Sn2gj1RpqPURpe4xIGkO0pUajsWnsOT00NjlpmrSNVdGTHkMeHmtrq0u/mR0M1bQL/zu/mflm7sx83507V5Mg/Pei6+RyGSvLYph4vV6lTDDq4uKMTcpB9vSAQqvBBtMMBvCbVSEz+bQJD9TqRhWj+lLh08aHUgyMoT9RHusT8NKnwEeF0fwWcxw1IwOj2BE9pcDiR1+Ew+RQrSJfhPewW8jq00Mp/OcOPy7EDomeZKhPxjnkaY/4LD4G3qm6iTpOzT3ky4/++83yqAu4c5F25gcbm5sP3P6OJT+yifk0ol9xhBEx4sgDWGnL45WehjLRDMZz1pnN0Di2RuNYo1OT5cwOpMp1bk9Wqloj8NL0LLdLE1KrDVJhkO0LylR8Cu/iOb5LmoDz+mSz05xr5raZmUbzc2aWXMxdhgs4yJEUrlNgmTXJHoh9n9frz5g+3TnD3+RyDrJvDDg8bvJoZGY6OPSSQ6YeZF3BRN2MB+npri8zs3yejC6Pw55Zng3PwgS53WVjbIOsLRjLJ9jNEwQ7bwxsXjJuO1mIr/dHAsMqvHHDBTaX+2MLHxhzB3gjcO8RWNxbu2YNbKZj2w72y/jn5Wn3YN8w4zal/78lPek7/PhEdo/tU/Pc/2OXEhoj25lDm5qbu25F/frp2K7Fffem9fDEE85GzOh1URK/V/QKeDs1GMu64KTuQpxJQEb+HLOH+R7Cizasuo2coRFYp3QX57PokvmToqT2djgmlKA7vIW/hBKQFV0IGpx2RqJSKOPhY0yvVKukDMfGW+A5Oc/2IjXs9jp2cCDZrh1klp0VJA74QsMVYqjg2MFgfKpdkDqULmVQuV3JK3Mm2BU5MTlyMA4mmO0mvYXJZeYw+xmeyTHkoJxMU5HpfRNnGmQiZ22CuGeDYQrKZcjDNjyMP/ZGHg0PjwCgkGokWvIomlL3Eef5o4dROENYp+vBL/g8j3cyvdiKD2tiOMj7vPpx57WPOls7l3e8uKzz+c7CQrgse7FjORQV/ri7paX75RUt3dw7u9d3FhV1rt+9asvWVbvX7ysu3ge8dcuWFd3dUN+N35hwkmpDcl/qN43KwN8lRgnCv96b1sk4HcgrRBF/pFKCxCHISok9aSXOiZSjWZJkqPVIEC3/9ndXRIvgE3RMp9mPUQPfinSgYnEiWi+EUS2zC9WzfWgzFpeIgnw/Wgu2fZCfCek53Bbsq0HXQAFQGGSiZSHQYlAVzoPtL3Fb6GM17oekrahekoyeE8Kjj+B+h4UraAmoB7iXv4leFfnRSsj/BNpd5BGajm2gzWFRH+qG8qNQ/yyU9UBaC/njwAugnYuyVLwfGXEKEkG5HfrppPO1cu+gDL519DrMpQ76LAHthHtUQFoAKgUbLaR5oF3MFbSbuTLaC/WQog64/y5cDsqnaRH0swPqc6HdJMh3AJtgHPDJi5QgC8jG9iM/GwcnnX7khPnXROcNuoKa8ZwfzwnGT8f0tKJjLB0vuOcF0ETWP3oLUum4sT2pjidUzHlQG6QtoARQJTuEVvJlcLa9iX4o3EIcFsQQXqfPQNl8EyrHMQXjrBLOoCM4DwoRtY4+4o+iY9w9lAl1G0WHYR5NsN7poPvIyX6BpolS0TaIr3zovx3UA31+TuKhCc2D+zsg9fC3SAztBO2De301tk54bSDfDn6dC/d6iJ8HaF8FKgS/tIFW4PHA/Z14zbHfmXDED7bDYLMAC8r1RDB3HJO4DW4PfaXSOOz9NkW9YLMf1vWvkPIgHR7DmEicUUHde9CPESQCJYIcoFugXlALKAv0C5CNxCmOFYgF4QqsGYyFxGh0zD3Ef/3QZ7Qd7tMi6kctVBa+ZfQ6jgWYfgb924CGmB72OneW7+OHhFihTDgvfC2aKpojWin6qdgj7pDYJB9Il8WoYl6TcbLz8gb5Pvmd2KmxTbEnFCnKFOVVVZXqhjqs/pH6I02b5rdai3ZpXEHcKl2Z7uP4svjj+tWGcqPeWGl83ZSfEDAfTCxN/GOSKGlG0tKkU0m/TuaSh1O2WtSWUxMqJgxN3DFxdFLlpIupl9I0aSetHutFW43ttr1g8qbJ16csneqa9rrjJWeH61nXjXRJ+p70T9L/4Va7ne4K9wb3IfeAe8j9uQd5Ej25nvmebZ4jnnOeDzwjXqXX6S3wNni3eLu9g96r3r/5FL6pvnxfg2+j73KGkBGZ/pvMY5nv+VVZ/AxHIC1wNPCXbE328Rx9bmzu20EhWB88P7Nu5vt5BXkn8/40SzPrRL4/v312XkFa4cEiRVGoaF3R1eJFJc6SzSWfleaUri09UPpm6e/L9oTmhVaH9pQnlZ+ZI5uzcM7PKvQV/op5FW2VqZUNlZ1z1XO7qpgqU1Vz1b+qfdVV1euqD1a/XX0tzIZTwv5wfXhDuCt8Ovxh+E5NTI29ZlHNhzXf1LpqS2r31v6ujq8rqWurO1J3pu7r+hfmZ88Pz2+d/6sFOQuuLUxc2LEw0nC2cfmixYvaFpvJZn0X1SIxqoBzF4tUKB7lQeS/IVFCDteGuF64cmRTj8CbIMoMimHElFmkYNSUOdQAHwtR5sFmC2UBDqK7KIvA/hXKYvQu8xplCUpj11CWor3sy5Rj+MuchbIMPSO+SVmOlkhmU44VnZGcoqxAC5SNj99M25RvPX57CaqssdcTEqtyKXPIqSqgzIPNOsoCkqs2UhaB/U7KYvSMaj9lCdKqvqIsRbPVLOUYdrG6kLIMpWtfpSxHHu0nlGO5+jg5ZQVy6JdEGS5y/SHKDJLqj1FmgU9S5oAHKPPAdI6MAPwuZRHwEGUx9RzDczB3uf4PhAXscf0NwiJSfpewmJRHCEsw4+8OYNxHxJBEGWLAaKYMMWBMowwxYPRShhgwfp8yxIDxKGWIAeMZyhADxsuUIQZMOylDDJj6KUMMJGRQhhhI/idliIGUesoQAymXKEMMWJ8nHIPnZb1KWIbnYv0zYTkp/4KwgnC0TxWei40nrAXW2DSE47CNbRJhHe7H5iIcT8qDhI2kbRnhBGITHVsisVlOOJnwC4QnEfvthKcRPoBZQsZs6yEc7b8Pszxa/nPCZPy2y8Xl4eKq4ryy2WgebNSr0X9Yr7rduHErrCJXCZB34FWQAPbYzjpx7DvXcRaDzdgLexxgrxYciTNiLYlakrIy+yh9ggYoFuhlCxR9gl72IfoW/c4h9WOPnc1mC2NkiTw8P9/5eHiocAWVSYr/IvmE3xx3QHqfJSap8PNRSiQn+LJ4p6fEuGYJgZEC6yd4e8vj8ndq2uk9E8klZoqk6WUcxqb4H+ztJYf428WlL7y95NFjrCjw/wJrVvDB86oL6HP42eQGzwxSFvMSkjSzgo0CX3bD26ORpLgje5R8YI2uj4A8eA2PRPIcmjT8tJhx+C2h8cVI10MrB4kZcBi+fmFECa8MK0u2f40x0vz1WAuMUkQannj2iLAR+CYZH7VeIQ8CBZ/Wi+QZ25vheQ7bS8ZcQp7WKWgllFteSdom9/gU8mtgl3yqIbt+UEoxr0iuZa9WvV0dWbvNeTHJInp9xjM5M0fCm63ed8szmhl6iWfDXoc8BDa9QR5O2BPPKHe4WfgiICUjBwOTNGOfMbOIaxXbGvMljbok+0YrS9ZIfuewX7LGgL5gryXbS2M2wgx57WI+JMcY1q37/OvI8jpmUDE2jpkXousyJKP/DVsTbGHsVZd5woa+W9adj9hAsoZ1BdvdeEDbR0TSyFS3IeehUzEqGv+D7jSONIw0MWrgtOEdaxnRgteTp5TPMq7qLKS8/iZa1THSsPdIw4DCkvdwEUcHXHVE18RINMs3/DVk1TFLC/bufk50NdX1sdBcyfoGHVQbrqO3MuKfcrUTcZd2mGVse8WjYT3tMB1zmPO+qyNHDJ60o28i2kHDUOUl5yqwQzCGaYxfc9YKlql57wU2VrwyRDJmt+6ZRTv/Y8xMyd4QN2/i3gp1p+j9KPlrYK+/cxK5O/Gl0caCNTSMdHaLmyr5CeMdssTttI9wydwWzIGPjK1j3vm+noSsk+9hv/tYNcJucpFlQ/UMsyVnRCY/8/rgNelNeXZgWrCeMVo175J1H0Vnu+KaSfOSkbDRBu2hgKLn9Z3HnfaaOVRy3ex8m/CZ5zF3hLN0B3rpb8JS4wo74epUQiLnvVTgrcRbxRlS/OWSH5kDIeOTXvL/a6FlxgRZNbJyhko/x3n/Dr8TMI/ezzFKJ8A7PN/z+ClGLvEkbn6Lk+AUfzMenSdPkyf8mzOb3D1cE/142CcB0TpiPnD0y06xITNdRe7yvODZNeSb3mba17bA5+E8GlfLUDmGOhr2r44108U9vWItqq+JtFt/iNZod9/EWrroT6Ng038Gma52tn11UnHHqZ7TluuHj/t5Gfl4H17dLiTE1EjLsIs37WXxBCQGLrgyBq8XMTNV1Hxfhv7DUd1GKlTkTVZsWu5qG1UxyT2ohNUiou1iDXnINqF/hZGhzq43cqFilzHuuUL1luxRzcjq2Ol8Sc5F5GI1qm2dXaokGSOtR6eIHfXIW720HfF2OLs/jxR5V7L+jlfmlr6W83/N2Rz3oV19HCQNZEOH2jDipD/v4wl+jdldxooa8A+7qo78GCrvbQ59LqKBH1OOfTNzXe9FZ46KHVqIJvR7KWe1upMDewfvQbPjbpU6kiyeQzfcG7XJuLv69ex3+mzs/3S869zXxW3mMaA1dKwp69zcx13G5B2sl7/J2wHlTQu3z/vbHqnYxXqcPZ0Gup8cJ+Em8Bw9/H5ygLuWwHMPX9u4Ve3jt5s8xt9V8l2U3MXsHmb24/tB8g1+tOp18gp3AfqR9t921n39ydjN7dxBrz8P5+taLWWqxCcxz5WYmcp4DIkTY2tjpdemEnWRTsRb6eWvCO2QMnFpioZGnJhWWLd3eLi7jcfLiTguCnGhV7l34kI5ZW9Udmy1LC7Uqimk7dQe8aCIo0cflHVk4OXk9a54PtOpNc4s/QuWGk/ywGzO//4i5lZmqpT2WpjlZ70WVq2088qqTOhKeIheXYrvpRfPxHwmzpfLiZBVJlThVJtDbNJrQrxmZWWdr8dDSry1stXVitZqQLstLswCqs90mptCui3SbnWqpbiUTZUhBsD05uWJqbwqyTe7Fk4CQYCklyJTTq+qLRFwSSElNSZLY5XIm1JWcF+kubQyRRj40KlDHLISmFtT/BqQ1whQpco5A3MUkIT+Js2Fjqoo+KZSotU+ZxhKYzJaTe9w28ORFKC6bsy3qvJaQTrFS2PXE8FImxtlJXLtrZK+xBQtSBvk25Exyp6y7MKyKQq8sq8wXxoY0VXWOM+hOr8u1BgJYqojK8qWumIJa66hVsL/tIGhkMBMy5Wh+TYH5iJXRQ1EjFjpG8UCTHkpCsAhSgXsKp1CXNa1AoxVqmAkwK0JLKE+IphSFWuB2By4U5COUhcMr4+byEV7KVYslGgcKMVoqp8acrZJCX+xNAgZGhGU98QThG4V8u5BDaTJATKmJz5LuZI/6wqqlU+3AmhYnmlXF3JNJmh1pVpXyxquQSSDi147UkzitTWlYW2T3Pv6aGenbdtJGQk7SU25k/uy2Cl9JUu1U7ofJQU+ocEvXNCqAqOKl5ydz6fvpifH8+n5mTh/J95PT07PLk/F8bcXp6ez07P50ydPn8xzwNqhRhBTTuAoIvCM6D1bjIMhIlPMi7VYm4ZWpsQ24Mz7KNAS5GCOIr/YfhXE5coqRUyciB+wLJeggVnQNsJKf8sZYmdLdFJInCKkrUo98rwEjoNflEKzUizCKe7XITVg76LxUA03DXbUKKB/u84pELmHol9MbBM3smjkAgyTDgwZr56Iq4o5u+6iQEyxcoHeUrhapRpFZzNyARQrZhutlVmmiRNgpeWKvEXDlrHl3X3HqUKXmgKCEZZrjb12gaTMRx40LQpqsyi0y8kOdAW4SxAV/iNV9VoE8kaEbhtiPKbLITiqXj81yrEZ1L1U2SpGYKPfLOxy0xQZ9tCNVm0oVxvhkxwyqVABsqHE9THCLS6sqR9yTIHJ6PXyfrXscr8g7vuoCHakPyKBq8tjHALP3+wfvBAHe2+2d/d3dx8/vvoOg7t7e/v7eB58cyAOXr86fHX49MkDu+6zm5G+dqJ7vA/psH2H+tugnpwZcYISt1LTsw/Ty+kf359+yQsuu4avidTW0yVv/YenaB3+hBbiv9x4dHOX3EjRNZPavuzRnx/97dE/H/0Lv78/+sejv8ZL7fgS+ImvuqGt22zVTlh3zc9xW1/DVspt+lsel79T007vmUAMhi9knQy10lNuu8neHtq2QzR02/HtJY8eYwVdeC5uNeAX3L5Tsx4a5WNu0AknmllxS0443fX2aCQp7sgeJR9Yo+sjIA9ewyNqTmfc2lnMdA34i5Guh1YOEjPgMHz9wohavtwpzjBdsbpm/GuxDheIVbw23b6gDi0+Nd0i+Z7Xi+QZ25vheQ7bS8Y88IwuugWj3PLKcMXa9Cnk18QrbA3Z9YNSinlFcm1/yQp2dWTtNueFdkLw+oxncmaOjJfd4LvlGc0MvcSzYa9DHgKb3iAPJ/ESQih3uFm++DiOM1wkFWtb8qVTcR5XmNti/g18GS40Oq4sWaPiS2bDeawi+oK9lmwvjdnQ8cqZ8lrP8xVr6S6mIf86srz+H+vVHh3lUcV/8+2S3dCGPEoDhU2+DUmWwtIEUiBAgWwg4eHWhpKACUVgs1nIQrKb7uYBaOFDixZbSG0VW9RWUauWg11CTTeAQsVX4wM9ttZ38Zx6TvFFQW3lr3jnfrOPPEDqcffcmflm7szcufd379xRFjQfhVFGnnm6hIV8Sv4u3s3JO6RLlbC81E1gzOek5A3zWiMfgj51DnN/n9LMSD75EDUfhvLha67tVz1drGmJqBSmw+yxEdZoG8+Xkvr4oWTOSuzg5/ndategOqnpewH1kDW1sJV9uE31pvQaVNoNq5MEmb+Lv1JWjTJK21i6sTGRiKnR5FkCHJfleqk1ZGzYoaT1Kf37Odo5lZcmdNbCe2/jXnO+9LCgsmEr+12HwkiYSunR3Urb5gqpKO9jW5nocLIO/er8QbZaG/N0sO+ZaAzxTPMk6egOJpElPX+nskw7SyOx2a18y4w7bUk52vkrhd7OETdRdMT5/GqPZl6hizXdMgybATxI/QnNSmz7kyfcyth2MgZ2sm6jjLvOZDwxrS5lN/29U0UN05uiCmWp6GmOtrNFfNjN802p5bp+Hk0hzdy9hbXVwV6yK3mKxN4hjply3MeaiKg9pA+ZWuzk+QmJE6t3MIbaOW4mZCvjO6+TxhbRXVpO68p/GXOlR9gyjk7txNHKvtRGrXZqhdhCAf6KYjNjwLR4WZLz/7tDDyPG5A2k7XIfRfoGuu9XEC0n5Ml2HfXKG2AFlfdyv8yI6qmU2FxJN0Et/d/PvQ3IwnimBkZTdAysOZP9pp+YGu1QOk9h9OZusZRlEhE5YedmHt1F/F3JPf3J2GbiOXUfpUdLM3Kk4qjpv0EVM6PKp7fxKoFkTJTe2qR2k97drWJpc/I2MvfsvIFmErGzJxmdAsrjAklMRzh+dCp/3qrwOJa+El4oNRZIWyXlxaP3a1E3oERgM0dGU+pmZZmQWnksC73GpxquKTMij0bF6J0TsU1GMR/noD7atU1pO6piyPX2ltpfRz2pOLtrlC0CKstIz7nM6O1jiTpYs0GV6dyMzZ0Ki6G02JbYV0aSFtZ0MO0WiaTlyLOS3JE03Kbu7htrSkrXzusncBUetl4P238HWzM9D03ExxRnmHjNDLWLNS7Xb02ex5QrHd3tKqKa+je9qkPhIxV5h2PoRidK4WM1n3205RK5l7xzAipDM09j5nt+tmpohA0iI/SdWjnK2arMSFrUPdTNuVEP0rOr/279xHoRlf8F1VtnrCxutB1NbaUyVj+vOdqPExbzjdD11vckbUrLo3cYft8PlyigsthOunsSK8j3STXMl8CdlMPPRSW9tZxUzqGvu+hVNZdoNjLpvw5exTmbRufQyFzVrsTdRHLWfMyjt4Akufp7u+v+95sxMVY+Qnvp92GY7wLfsLaP+cca++OIOQHSU6e6oXxs95brrNnGCE/7thZa51i91pXWJVQuHLaDjMHXW+U+9hkZe+TpZe4Y4VtOSnH9OWO3NfBvaDoOY6zfVUBowgILrBiHDNhgJ3uPxy24lew4AdnIQS7ycBsm4nbkYxIm4w5MwVQ4UIBC6GT7IkxDMUpQSq/c6YSlGZgJN0XGu8gK5YySCkLJXMLGfMLJAkLIItyDxViCpaiCh064jDKSGso+VlAusooiyPsIb/cSxmUuswb3U35ST/fOOqzHB9BIMWwDHsBGfBCbKA/awneMn3OArRwngthOMbONNBBiT3uQM0P5TuomXO0kG+3Gh/BhPIQ92AsD+/ARfBQPYz8+ho/jERzAJ/AoHsNBHEIvHscn8QSexKfwaRwWVjyFp3FEjMPn8Hk8IzLwBXwRR/ElfBlfwXP4Kr6Gr+N5HMNxfAMvIIYT6MNJvIhvoh8vIY4BnMJpnBE2fBtncQ4v4zs4j+/ie/g+foAf4hUM4kf4MX6Cn+ICfoaf4xd4le7lX+J1/Aq/xm/wW/wOv8cf8AYuEpbexJ/wFi7hz/gL/oq/4e94G1fIrv/AP/EvvCPs+Na4slBXW1tOKBxq90V2BEPbIoHOrkjI0t41x9IRnGOpa2231nZFwpnh7kAk6g9HAnHt5ZMlefpQda52FgI6leVEVUR1RJuJeokytLPatL4WPa/6Fu00Bu0gzj5c4vo5HLXDs133uJavrvA4ZeFatIRaVDzrfNaleVyHn6ZPWbgOPUEtWbgefoxasnDt3kctWbjauqklC1fLdmrJwrVhM7Vk4aproBYVce2Zl0qm65V1O4SzOlvrwWwiD9EaIqvWI/+4ZpWyfbZv5kw9rh3xuGfM1I1TwjgjjLXCOCqMgDD2CGOfMBYLY5Mw3MJwCKNQGB5hnBYLSBWG8Lw47HOhZ7IwBoVxXBhRYbiEUSqMEmE4RaUnrhX1rb6bq1quTlYvq+B6ydKKbJKxiDRahL1EFpyl8gLREH95iMk5zWS+o1DW007OrDK/yxZVhKtXaedp4nkyw3m8QWQlA53HFqILRBZkU1lFtJnoHNFloiGiDOKeRoL3cplNZTlRFdFmor1El4kyWJzLRBrCSsQXWLByJXSd/NLO038a/Yu0Ik9BjiPHnbPK0usQ2YWirnCoUKtEfj4Fmbxce25cZPW/m/Xvd7OQWZ2pHdJ6KXzo2uOq7u27VqDHxVN9rtN69e3iMyi0EurEQrhEKdULEOXveXDYZT0XDu0Y1RV9jvU0LbvPNUs/JSbIWf36Nceb+iVHXKPmW47T+uvOuFX06a9Rz7F+/VXHAf2V8rides644oKqU05mHXAs0I8PMus+GjjSp++RVb/+kGOlvsPBAwFzYFOUvjzZ+lrXBn0VrVfjaNY9UVqzX69ybNIXm1zz5Jx+fTaJ4DabM0nYGQ7etLiQF1xXGRetnlm2w7ZGW51tvq3CNstWZNNtBbapton2PHuOfYL9Vvt4u92eYbfaNTvsE+NDFz1uCtqYmJEjqwyrLK3cztFkKUO+ADRh1yiQxm6zeDVv/TLhjZ3zw9vsjL1TXxwX4+/fEBtXvEzE8rzwNiyLLXB747ahtbFKtzdmW/NA4wkhDjVRb0x7JC7Q0BgXQ7Jr/9RY3vLGAQiRu//gVFnfuf9gUxMm53dXTa7KW5q7cEXNGMUWVbpTv8nD2gWxw976xtjzBU2xCtkYKmjyxp6sd25sHBBXxdu1NQPiiqyaGgcsS8XV2rWy37K0pqnJGxfrmQ9OcYX4CDFXmM9eCKfkg9NeaPIdMflKaT7xlciK+DIzUcp8pZmZzGcVku9EtKS25kRJCfNMotSPeaKTnOk8g6XEU1rKPPkGBplnMN+QPLGlzOJwEEuhg1nEFDiYxSGmMMv6FEu5YjmQZDnAO1lEisdh8mRdTPBkXSQe983+AsvcbnHynib/xtpAce2W4toA0ZbYo92tk2NGs9N5wt8kB5wxi2tLs79V1r5ArKk4UBPzF/9HLgobrWOwSMeApK2VXTYyxLiGRGyMcUh12WTtYO2qnOgSudk9wMQcxa5OuF0mAVgMCwAZZgKyy90ci7Q5SNodZJc5yC5zkF3uDu5guxjAaTwgYiMHg1OkcwyE3szEzQVMrwnSipFOYgIFduDEa60oUSe9i4WBcQUDt3bkBh5lpw28QAyS0nXUdQRJAfMUSIoPKMwPlZKos1aU3sW4AiolABQWVHZi0C4pLS5lkHDNdIGgYiAACpWUggIcQmoX4wJAOdcNDokuxSUMDN4btIK9N9gHRkVsZGcHiiaAvLTBCibGze264/8BiKAeUNAKJMjMDFcIErMBiXFyQhVixn8plHYG5YIGpt2bGR3kGIGdqkjmDXLeIUzAoiAkCujXmKiIXQzzwdVDcSTQg8WM2gABBgCEz4LgDQplbmRzdHJlYW0KZW5kb2JqCjE1NiAwIG9iago8PAovU3RlbVYgNzQKL0ZvbnROYW1lIC9OTEpHR08rQ01NSTkKL0ZvbnRGaWxlIDE3NiAwIFIKL0ZsYWdzIDY4Ci9NYXhXaWR0aCAxMTY2Ci9EZXNjZW50IC0yNTAKL0ZvbnRCQm94IFstNjAgLTI4MSAxMTA2IDc4MV0KL0FzY2VudCA3NTAKL0NhcEhlaWdodCA2NjcKL1hIZWlnaHQgNTAwCi9UeXBlIC9Gb250RGVzY3JpcHRvcgovSXRhbGljQW5nbGUgLTE0LjA0Ci9TdGVtSCAzMQo+PgplbmRvYmoKMTU3IDAgb2JqCjw8Ci9MZW5ndGggMTI3NQovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0NCnjajdjNatxWGIfxva9iluki2EfnG4ygpAS86AdNewHnMxjqsRk7C999/1KiPCXNIot34J0Z2f49shbS9bu7X+7O9y+n6z8uj+3DeDnN+3O/jOfHT5c2TnV8vD9fmeXU79vLl21/bQ/l6epaB394fX4ZD3fn+Xi6vb06na7/1MfPL5fX05uf+2MdP23v/X7p43J//nh68/e7D/s7Hz49Pf0zHsb55XRzta6nPqZ+3K/l6bfyME7X+6Fv77o+v395fauj+MZfr0/jtOy7+fwntcc+np9KG5dy/jiubm9u1tv379erce7ffORvPh9R53++us1yY/qq1az7HOuy7nOsdt3nWN26z7H6dZ9jDes+xxrXfY41rfsca173Oday7nOsdd3nWNu6z7H2dZ9jHes+xzrXfb6sRlaD18hq8BpZDV4jq8FrZDV4jawGr5HV4DWyGrxGVoPXyGrwGlkNXiOrwWtkNXj1ss+xymrwGlkN3mW3sm44gMuGA7hsOIDLhgO4bDiAy4YDuGw4gMuGA7hsOIDLhgO4bDiAy4YDuGw4gMuGA2iFswCtTqblhFpZ7VevrofjH/9/F4JVBksKqwyWFFYZLCmsMlhSWGWwpLDKYElhlcGSwiqDJYVVBksKqwyWFFYZLCmsMlhSWGWwpHDK4EjhlMGRwimD49Q7WR1eJ6vD62R1eJ2sDq+T1eF1sjq8TlaH18nq8DpZHV4nq8PrZHV4nawOr5PV4fWyerxeVo/Xy+rxelk9Xi+rx+tl9Xi9rB6vl9Xj9bJ6vF5Wj9fL6vF6WT1eL6vH62X1eL2sHq+X1eMNsga8QdaAN8ga8AZZA94ga3A/ciEEZQikCMoQSBGUIZAiKEMgRVCGQIqgDIEUQRkCKYIyBFIEZQikCMoQSBGUIZAiKkMkRVSGSIqoDJEUURkiKaIyRE59lDXijbJGvFHWiDfKGvFGWSPeKGvEG2WNeKOsEW+UNeKNska8UdaIN8ma8CZZE94ka8KbZE14k6wJb5I14U2yJrxJ1oQ3yZrwJlkT3iRrwptkTXiTrAlvkjXhTbImvEnWhDfLmvFmWTPeLGvGm2XNeLOsGW+WNePNsubwIxdCVoZMiqwMmRRZGTIpsjJkUmRlyKTIypBJkZUhkyIrQyZFVoZMiqIMhRRFGQopijIUUhRlKKQoylBIUZShkKIoQ+HUF1kL3iJrwVtkLXiLrAVvkbXgLbIWvEXWgrfIWvAWWQveKmvFW2WteKusFW+VteKtsla8VdaKt8pa8VZZK94qa8VbZa14q6wVb5W14q2yVrxV1oq3ylrxVlkr3iZrw9tkbXibrA1vk7XhbbI2vE3WhrfJ2vA2WRveJmtLP3IhNGVopGjK0EjRlKGRoilDI0VThkaKpgyNFE0ZGim6MnRSdGXopOjK0EnRlaGToitDJ0VXhk6KrgydFF0ZOim6MnROfZe14+2ydrxd1o63y9rxdlk73i5rx9tl7XiHrAPvkHXgHbIOvEPWgXfIOvAOWQfeIevAO2QdeIesA++QdeAdsg68Q9aBd8g68A5ZB94h68A7ZB14p6wT75R14p2yTrxT1ol3yjrxTlkn3inrxDtlnXinrBPvlHXinbLO8r0L4ZvrYKrCpMRUhUmJqQqTElMVJiWmKsz5nV+y3aNvzxK+3vu3T5eLbvv3Bw77/f52p39/Hl+fSTw9Pm1H7fMvHUIhGA0KZW5kc3RyZWFtCmVuZG9iagoxNTggMCBvYmoKPDwKL0RpZmZlcmVuY2VzIFszMyAvZmZdCi9UeXBlIC9FbmNvZGluZwo+PgplbmRvYmoKMTU5IDAgb2JqCjw8Ci9TdGVtViA3OAovRm9udE5hbWUgL0ZQVFZDRCtOaW1idXNSb21ObzlMLVJlZ3VJdGFsCi9Gb250RmlsZSAxNzcgMCBSCi9GbGFncyA5NgovTWF4V2lkdGggMTI0MQovRGVzY2VudCAtMjcwCi9Gb250QkJveCBbLTIwMCAtMzAxIDEwNDEgOTU1XQovQXNjZW50IDkyNAovQ2FwSGVpZ2h0IDgyMQovWEhlaWdodCA2MTYKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9JdGFsaWNBbmdsZSAtMTUuNQovU3RlbUggMjMKPj4KZW5kb2JqCjE2MCAwIG9iago8PAovU3RlbVYgMTA3Ci9Gb250TmFtZSAvSE1HWkNEK0NNQlhUSTEwCi9Gb250RmlsZSAxNzggMCBSCi9GbGFncyA5NgovTWF4V2lkdGggMTM2NQovRGVzY2VudCAtMjUwCi9Gb250QkJveCBbLTYwIC0yODEgMTMwNSA3ODVdCi9Bc2NlbnQgNzU0Ci9DYXBIZWlnaHQgNjcwCi9YSGVpZ2h0IDUwMwovVHlwZSAvRm9udERlc2NyaXB0b3IKL0l0YWxpY0FuZ2xlIC0xNC4wNAovU3RlbUggNDcKPj4KZW5kb2JqCjE2MSAwIG9iago8PAovU3RlbVYgODUKL0ZvbnROYW1lIC9SUlBWSlUrQ01NSTYKL0ZvbnRGaWxlIDE3OSAwIFIKL0ZsYWdzIDk2Ci9NYXhXaWR0aCAxMjkyCi9EZXNjZW50IC0yNTAKL0ZvbnRCQm94IFstMjAgLTI4MSAxMjcyIDc4MV0KL0FzY2VudCA3NTAKL0NhcEhlaWdodCA2NjcKL1hIZWlnaHQgNTAwCi9UeXBlIC9Gb250RGVzY3JpcHRvcgovSXRhbGljQW5nbGUgLTE0LjA0Ci9TdGVtSCAzNQo+PgplbmRvYmoKMTYyIDAgb2JqCjw8Ci9TdGVtViA4MwovRm9udE5hbWUgL0xTU1ZKVStDTVI2Ci9Gb250RmlsZSAxODAgMCBSCi9GbGFncyAzMgovTWF4V2lkdGggMTI3NQovRGVzY2VudCAtMjUwCi9Gb250QkJveCBbLTUxIC0yODEgMTIyNCA3ODFdCi9Bc2NlbnQgNzUwCi9DYXBIZWlnaHQgNjY3Ci9YSGVpZ2h0IDUwMAovVHlwZSAvRm9udERlc2NyaXB0b3IKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1IIDM5Cj4+CmVuZG9iagoxNjMgMCBvYmoKPDwKL1N0ZW1WIDg3Ci9Gb250TmFtZSAvREFMR1dGK0NNU1k5Ci9Gb250RmlsZSAxODEgMCBSCi9GbGFncyA2OAovTWF4V2lkdGggMTIzOAovRGVzY2VudCAtOTU4Ci9Gb250QkJveCBbLTYxIC05ODkgMTE3NyA4MDhdCi9Bc2NlbnQgNzc3Ci9DYXBIZWlnaHQgNjkxCi9YSGVpZ2h0IDUxOAovVHlwZSAvRm9udERlc2NyaXB0b3IKL0l0YWxpY0FuZ2xlIC0xNC4wMzUKL1N0ZW1IIDQzCj4+CmVuZG9iagoxNjQgMCBvYmoKPDwKL0xlbmd0aCAxMjU1Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeNqN2EtrG1cYh/G9P4WW6SLYR+cOZqCkBLzohbr9AOdqBLUsZGXhb99Hk0z+Jc0ii9fwSh4f/x55FuPbDw+/PBwPl93tH+eX9jguu3k49vN4ffl0bmNXx9PheGP2u35oly/b+rU9l9PNLRc/vr1exvPDcb7s7u9vdrvbP3n79XJ+2737ub/U8dP1td/PfZwPx6fdu78/PK6vPH46nf4Zz+N42d3dLMuuj8mP+7WcfivPY3e7Xvr+ofP+4fL2nqv0HX+9ncZuv+7m86/UXvp4PZU2zuX4NG7u7+6W+48fl5tx7N+85e8+X1Hnf771Ovs70xdWs6yzrftlnW21yzrb6pZ1ttUv62xrWNbZ1riss61pWWdb87LOtpZlnW2tyzrb2pZ1trUv62zrWNbZ1rms82U1WI28BquR12A18hqsRl6D1chrsBp5DVYjr8Fq5DVYjbwGq5HXYDXyGqxGXoPVyMuXdbYVq5HXYDXy7ler1uuZOnd/PVPn7q9n6tz99Uydu7+eqXP31zN17v56ps61nGl1rqWxVWdLY6vOlsZWnS2NrTpbGlt1tjS26mxpbNXZ0tiqs8Vqv3q5H7Y//P/dCJYMViksGaxSWDJYpbBksEphyWCVwpLBKoUjg1MKRwanFI4MTikcGZxSODI4pXBkcErhyOCUwpHBKYUjg1MKRwanj95hdfI6rE5eh9XJ67A6eR1WJ6/D6uT1WL28HquX12P18nqsXl6P1cvrsXp5PVYvr8fq5fVYvbweq5fXY/XyeqxeXo/Vy+uxenk9Vi+vx+rlDViDvAFrkDdgDfIGrEHegDXIG7AGeQPWIG/AGuQNWIO8AWuQN2AN8gasof7IjRDIEJQikCEoRSBDUIpAhqAUkQxRKSIZolJEMkSliGSIShHJEJUikiEqRSRDVIpIhqgUkQxRKSIZolJEMkSliGSI+ugj1ihvxBrljVijvBFrlDdhTfImrEnehDXJm7AmeRPWJG/CmuRNWJO8CWuSN2FN8iasSd6ENcmbsCZ5E9Ykb8Ka5E1Yk7wJa5I3Y83yZqxZ3ow1y5uxZnkz1ixvxprlzVizvBlrljdjzfJmrFnejDXLm7FmeTPWLG/GmvuP3AiZDFkpMhmyUhQyFKUoZChKUchQlKKQoShFIUNRikKGohSFDEUpChmKUhQyFKUoZChKUchQlKKQoShFIUNRikKGoo++YC3yFqxF3oq1yluxVnkr1ipvxVrlrVirvBVrlbdirfJWrFXeirXKW7FWeSvWKm/FWuWtWKu8FWuVt2Kt8lasVd6GtcnbsDZ5G9Ymb8Pa5G1Ym7wNa5O3YW3yNqxN3oa1yduwNnkb1iZvw9rkbVibvA1rk7dhbfI2rG1+50Zw6ZsboZOhK0UnQ1eKToauFJ0MXSk6GbpSdDJ0pehk6ErRydCVopOhK0UnQ1eKToauFJ0MXSk6GbpSdDJ0pehk6ErRydD10Q+sQ96Bdcg7sA55B9Yh78A65B1Yh7wD65B3YB3yDqxD3oF1yDuwDnkH1iHvwDrkHViHvAPrkHdgHfJOrFPeiXXKO7FOeSfWKe/EOuWdWKe8E+uUd2Kd8k6sU96Jdco7sU55J9Yp78Q65Z1Yp7wT65R3Yp3f+1O/PiBfH+S/Pni3T+czz9zr0/76sH19zD4cx9d/CJxeTter1vkXkk4BJQ0KZW5kc3RyZWFtCmVuZG9iagoxNjUgMCBvYmoKPDwKL0RpZmZlcmVuY2VzIFszMyAvbG9naWNhbGFuZCAvcHJvcGVyc3VwZXJzZXQgL2VxdWl2YWxlbmNlIC9yZWZsZXhzdWJzZXQgL211bHRpcGx5IC9hcnJvd3JpZ2h0IC91bml2ZXJzYWwgL21pbnVzXQovVHlwZSAvRW5jb2RpbmcKPj4KZW5kb2JqCjE2NiAwIG9iago8PAovTGVuZ3RoIDEyNzgKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp42o3Yy04cVxRG4TlP0UNnYMG5nyOhkiJHlhjkopA8wLlaSKFBDR7w9llQbf+R44EHu6Xd3QV8q6hB1eWHm19ujnfPh8s/Tg/9dj4f1t1xnObTw+dTn4c2P90dL4w9jLv+fN7eXvt9fby45ODbl6fneX9zXA+H6+uLw+HyTz5+ej69HN79PB7a/On1vd9PY57ujp8O7/7+cPv2zu3nx8d/5v08Ph+uLrbtMObix/1aH3+r9/Nw+Xbo+5vB53fPL+85St/46+VxHuzbbvY/qT+M+fRY+zzV46d5cX11tV1//LhdzOP45qNwtR/R1n++us8sG6vZ9jmvdtvnvLptn/Pqt33Oa9j2Oa9x2+e8pm2f85q3fc5r2fY5r3Xb57y2bZ/z2rd9zuvY9jmvc9vnvK5tn301WI28BquR12A18hqsRl6D1chrsBp5DVYjr8Fq5DVYjbwGq5HXYDXyGqxGXoPVyGuwGnkNViOvwWrktVitvBacFdCCswJacFZAC84KaMFZAS04K6AFZwW04KyAFpwV0IKzAlpwVkALzgpowVkBLTgroAPnBHScTKcT6rC6r16uhy//+P+7EBwZnFI4MjilcGRwSuHI4JTCkcEphSODUwpHBqcUjgxOKRwZnFI4MjilcGRwSuHI4JTCkcEphSeDVwpPBq8Ungxep95j9fJ6rF5ej9XL67F6eT1WL6/H6uX1WL28HquX12P18nqsXl6P1cvrsXp5PVYvb8Aa5A1Yg7wBa5A3YA3yBqxB3oA1yBuwBnkD1iBvwBrkDViDvAFrkDdgDfIGrEHegDXIG7AGeQPWIG/EGuWNWKO8EWuUN2KN8kas0f/IhRDJEJUikiEqRSRDVIpIhqgUkQxRKSIZolJEMkSliGSIShHJEJUikiEqRSRDVIpEhqQUiQxJKRIZklIkMiSlSGRIOvUJa5I3YU3yJqxJ3oQ1yZuwJnkT1iRvwprkTViTvAlrkjdhTfImrEnejDXLm7FmeTPWLG/GmuXNWLO8GWuWN2PN8masWd6MNcubsWZ5M9Ysb8aa5c1Ys7wZa5Y3Y83yZqxZ3oK1yFuwFnkL1iJvwVrkLViLvAVrkbdgLfFHLoRChqIUhQxFKQoZilIUMhSlKGQoSlHIUJSikKEoRSFDUYpChqIUlQxVKSoZqlJUMlSlqGSoSlHJUJWikqEqRSVD1amvWKu8FWuVt2Kt8lasVd6KtcpbsVZ5K9Yqb8Va5a1Yq7wNa5O3YW3yNqxN3oa1yduwNnkb1iZvw9rkbVibvA1rk7dhbfI2rE3ehrXJ27A2eRvWJm/D2uRtWJu8HWuXt2Pt8nasXd6OtcvbsXZ5O9Yub8fa5e1Yu7wda88/ciF0MnSl6GToStHJ0JWik6ErRSdDV4pOhq4UnQxdKQYZhlIMMgylGGQYSjHIMJRikGEoxSDDUIpBhqEUgwxDKQYZhk79wDrkHViHvAPrkHdgHfIOrEPegXXIO7AOeSfWKe/EOuWdWKe8E+uUd2Kd8k6sU96Jdco7sU55J9YpLy9v82XFOuWdWKe8E+uUd2Kd8k6sU96Jdcq7sC55F9Yl78K65F1Yl7wL65J3YV3yLqxL3oV1ybuwLnkX1iXvwrrq9y6Eb66DRYWlEosKSyUWFZZKLCoslVhUWOs7v+T1Hv31WcLXe//++XTitv/tgcPb/f7rnf7dcX59JvH48Ph61Nv8C2YRKBENCmVuZHN0cmVhbQplbmRvYmoKMTY3IDAgb2JqCjw8Ci9EaWZmZXJlbmNlcyBbMzMgL3RoZXRhXQovVHlwZSAvRW5jb2RpbmcKPj4KZW5kb2JqCjE2OCAwIG9iago8PAovTGVuZ3RoIDYzMQovRmlsdGVyIC9GbGF0ZURlY29kZQovTiAxCi9BbHRlcm5hdGUgL0RldmljZUdyYXkKPj4Kc3RyZWFtDQp42pVTTWsTURS9M1bchCqipXT1lkWSMH4srLuYpGnSEmOaohFBx5mXZJr58s0kmtBVN25EuxIXbgR/QJcuunBR6EZRKNVf4KJ+gCh0KZ6ZicnYKuqF996Z+86999z7GKKxddV1TZkRWbYvCtVM/Wr9GjvyhmQapwTBVM1zM5XKQoBtx+Z0wPbekhSc26kgF/2fHda5p+F8geXc8V2fSFKAT7Rr1SxwDnhcc0XgrwHP6Z5mAT8hOnR8EBvYyQK3uTA0VhBqj1WE0zDMuNa/3f+TBbOJ0LfLYc/SxEutI7qDa0l6ReTzu37wkXXcnjCaLZ+dnpk5z1LsjKKcZRlMiLOsY7kdnwtWtLV0kqmmyUKqxwT3uOhyPU2W2fnZ21GsBLeXFnFOE8kfuJcfYMnV1dw88Dn4J3SeywNfgH+zYcwWgdNYmw0xu4TzFPzM8Iu1yC9v2GZ5IfLLJdspXwJOgvPY9S9WgfEO8n2vu5gf5Pm6rJYqOCfAKbWd+YAzCY7fb9WuAB+D/2a/lS1Hfuk71ckkTgbZ2G1iNEcqCbKwq5QiF9ihBu4N8AwqhCwOr0EetcEvAL8PsRpmGkWYVInhgLmL2N0w9jZ1wI2ikalMq0llXfmkPFPeKZ+VHeUp0Me1qc606z56sCpuGNrrh1+QL6g8yhepYANVUWYNFf+k0sedvU9jBsukJrzWcA7eIEKFSg9RHXCDjKl4Rw17bWrI6xELFPJ75b1YdT7UOap9K8zfDrV1Q4aHPRPTEL1D1N0ybkdqwd5a2ZiMV90Ze359O7G1sm82ejjdbNhPH8yDM4q/jTOs18Ryhmz+24lq8fq/5MHf+gOfsfBRDQplbmRzdHJlYW0KZW5kb2JqCjE2OSAwIG9iago8PAovTGVuZ3RoIDEzNzI2Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9MZW5ndGgxIDE0MTcKL0xlbmd0aDIgMTI4NTEKL0xlbmd0aDMgNTMyCj4+CnN0cmVhbQ0KeNrttFVYHEC2qIu7u9NIcHd3d/fgDTTuLsHdg7u7OwSH4O7ulgR3EuAws2dP9pnz3af7dr7T/dL/WlXVf61VVZ/IpBzsXTW8HIGsjKxMLHwABW1RDV1FenFFMR1ewEcE+dMncWegiSvIwV7CxBXIB+Bh5mFm4UL+BBB3cPRyBllauQIq2FhY2AGijo62wI+onaObK9CZASBrb8YEMLE3B4BcXQC2IDOgvYuDswsDwMTWFvDPeS4AZ6AL0NkdaM6EzMoKMAeZuQJMgZYge2Tmf0jJ2ls4AHj/K2zu5vjfKXegs8uHDIDmQ472YwUTcwd7Wy+AOdDiY5qbra2SiR0QQPNP//8jbWIHsvX614B/eQIUHcyBzvb/OVQb+M+d0ajbmziqWzm4/mce5CIF8gSaq4BczawAFia2LsD/imvaf6xmC7IHqji4gP5RNADLfyQ0rEBmNvZAF5d/ZYAfFfoPzY/N/1OS+X9rxj9zKiag/2rXf6/73+0DsP5lRRNXZ5AnQJ+FiYWFlQXwz++/f37+j3+TtDdzMAfZWwLYOLkAJs7OJl4fo1g/iBPgwwoAfWh7AoCeH7tkZrJ3cP2YAviomx/AwsEZ+R9dYQUwW4D+EfonsQGYHU2cgfa2QAvXfwfZ/xX8r8Py31EOALOVl6MV0P7fEc6PcUBnkIP5vyNcAGYXWxMXq38HuAHMDvbAfyMPgNnVw+HfyPuBVs7Av/mPHTNbOLg5/w38U9f9f4z4MHb5qNW/+UPWBej+P6xYP0SB/5s564eomYOtw/8Y8yEq+pc+LMX/0oekxF/6cJT8W64PP6m/9CEn+5c+zFT+0oeX2l/6cFL/Sx8+Gn/pw8XkL324mP6lDxezv/Th8rfW7B8uf+vC/o9C/aUPF8u/9OHytyXsHy5/DwD7h4vNX/pwsf1LHy52f+nD5W8F2T9c/jaS48PF8S99uPxtIcc/OvaXPlz+x5n6cHH7Sx8u7n/pw8XjL324/O06x4eL1z/p/7yJYmIOngAfRk4eACMb58fNYOXlBHBzsvj9f10jddePN8/E2fzfgY80gpmb88cFcP3nW/Zx4ZH/xRagjxcTCPQEmiGvLTuY8YdYp2dluNbj5n2flNDpUujI5YJzZPAMorCsfErQDYs3e2aDNUewWVonk47EzJYlgSjyuQ1zoDU/XU5YjM2zlTMcoNB8wuB0CaQM3rVJjTqVNwJUBOUfa5u7ceKkVcXY54twGmiK3aStFNXRVCX/gHXaXbLrBXsczz77nTew+6seGWrp/vZGPt1Hw87UNY1A2u8CY0iKov/Lt41CdGdTd7QhFwu2uWKQkJdTNv+Q4D07bEIJ45TCnWb1AOZDw1AnZaLXBhfEJ61AE006HCsmPi6o3sEcbULSeDxu/V/XS4I2yffWqilITCTqW7vGL8VMfOo+YHOMB1FXk757zNJl4dwoWdffCMBKzYqaG9Li2C93Lq+F1rmwzOJ2avyM+QaK12cOFhHkhbNWJwodl8sGyJQF41KNmowz9SUsPGdTS2LvdbQkpNgYmXAh8qW5rVFAtiIGKfBuCUmvU1G3i2743lMNLTt/Tn+RpVwIWRqWMQj1wvAzs9pHHCL6bYU4uDh8T/+Vx90PYJeePCHgW9B9pRUNU/qW+BNjjNWqK3ZdQVZHUn5JTXBvfMM8af72s/cJz0ioX60y8+FuHAvk75bl0FFDCO8/DactCsjMXM+ebXzp8+/aN3DFCo9UmmHJxCcvKhQq52VSj5Yn6p1eQ000dBtCpk6UT7LjQuGjgmMJ4TB+/aKZsA66utELK4oZtAaGflh9t8cJbd9JHWyFqdvP+jqynPifrK1WD0Yk3TsitVDC/AgUc87pS3rQZvIqQeq8fIRIgeJgxEwgxZELR4FHgj+2TJWxvAYuOcEKg5V/OtSsV/MOPtmrkMSNXalnbkqXH4KRVj0rAabFFSLAePo+U8PXfEE8LbfRXjSJ/LTya/9iSr6AM6chPlL7XnV4+Yr7OlRy0g5Vc4pHVwyirNBMkE10stcBLdEpc2/Wj4+70y9fip5GkDoqSqrmeCjcehgft2Oh+FVOtb8yvebCBqyCtFuf+JjJg48LUwK+MoTgzHLgqmgsS7LDdHjraeP3QFXi109nAVZ/EPPuipzB2UIkFELCmhR8meUzgz6XevF2nTyUkJAdfIGrqm9QPEBRPzpc58+6cxRCWgjy3FhdSxURDB2vD3hXOmDSITNGP3sCnh1aXNQsfWmYvK+B1xZXJZ8gOJFo8IF0+/LEf5k0Z0cVhsnxI9e3aIQq3vQqe9PfibKxcDycTSkZqP2EH6LXpMuIorHTojYx2Kh5mblZCny+3kJrYmQy6oX5pm/ng0cOwTK0J0haWXps9zYn7cjk4CFZJfiHaJZFJ6sFbJYud/bLZTNWHp6zC06uou5wUChb3a0Vme6+HycEO/Zgnt4s36f+Maex91mG3WqL3O4wJDakChhTkuxYYqQWNfCQ24uLL3XgiH0dsa1kQnhHbqWyOtF4jofTaoDXKcavBBFenxtSqvc4J9PCm2B6RK+4sPDudpcCuziSfjfRXDnmpv7U4RfBIp+Y1FgYOE106S8tZ15E29xhF6Tuqjz9qeEnGKzRTn8g4mWRx4nhdoF1qvxeRtDUyI8yQsDMYGH0eVHYQwT3Xo0QfMbEs/HQlj5/43vtIUL2KBiXO08nLDJ2sNmdNnirXemJ0PFnFDVcuT/3635pIgWGkpnQGj+I6rj40PCMfWpRZAADEM1eBBuzqWbSaey3tGTEcMlmVgfw5YlQRZzslXKdcTFBYDplbdAU+2lYryLjYAOoIBHLpOzysFVEj9vB+CnRPcske9qmh41MfWgCw57ADnNpLNUJQXCkKTXLEY/IeoObdQON8fg+lFjBwfozRfUrzDA3JAZRcnuAcyNHoitauS9P8876L1qhH7+p6RkPJLqPUMdPtTkODUPIY6d/sFTdNv8oMThcvReBNHs1nFESERXccEjQRzB3SVY0h1gW7eHo1jL18Wqnr3sPx2PEpDz3hPsiAHa1Byt3l1tzdShXrYn5uQMtHcHim+cG8rxc83J+q5ZrU5rSYDLLe4rQg/aIJPylN+RSpZ0LpOuG0eI4ZWtCfbMDW59302kcRKQyJoeqXvfEhfFP2h4TGAF0vXmWbcmI3jmqwZEql20ILAdOGImEGL2iCabqRYFbIl6WIqZHotx7rdfGP2owcfUcrpTCpySI4y+dtZhquRTX4s4wbKSzFjzSiN8EdHxGAEJRiwCICs1zx6YkLti5m9pMK8M2kt4HyJmHg+xuLLObkucrsgtKjxf04KjxObh6eyJMiVWRo5ai23PheG0rJiR/WmbCa55Vo1iP2OPtavvwvGM2T5mAn809of77SWqGX/BxTLVMx32dXLjYjBgqp8VhEq6vNPKuLTW54z5xN0qRNe1AjjnWifc/kHAvmL3t5jYzVXy/sL+MV4iQ+vOLyD+7JDEDu89GYRr4pzeGr3bgDpa2I0vFXbCddBroDvfqqsXLRzoIYaAJlkndNxiTNpe7LfV8EdZs2DNRd+JiOdCBYKerg6TXKaHZvo2BtPeaItBjTYrYAJX78F4wchY2PZqgwrsnJeNrlj9qDDBSgoNV4Y/BEqfe3ZuTcktTvB/f1czn6GQ4IXOKOVOhaSEEu2jno8qxULPeWu13YXd9iypurin4sgBgkE4A7bZzxqCVB+iTlZM4ezzlVB4It9nVKmbND5xJQyxNMsK1SPNoL3hzo7FFD/WBCrFXwMacYCiobX59yqu/Jm/Dm/wdKHeIHJyV0Cppnywhm7ioTcNPTQKhr5Rlg9G6AJboa8UTmv9rvGiBhO2aZGMCQfsE0SfychZGMaifC1ucenDm2cjTmC7wlceMhMUCJPfINBG+hirjVsbmWhyQkWN3dpIQSkmRHNxWj5e479MseVW9DmkW/2MwpPXUAc7BovBFdcN7CuGX11v0s4fFHRkqIXdfVrItT5CxV402sW2ZtupDW49GmXrkffdLtY0UaDxZ9mzDnC3z/npe4s8Cb4zIXCw2CbBO54SeeHO9R6E4md3goaTBIUK4KVYVLITv4Vz3LIwKKV7myFqN9fb3KtpdyptQiWb3Iu0gam0+yrmWFN7vNp7I1rl67wVmdbyMwVB08TvnHobnbDCdW+2XWe7NB+5SvYxbCjpLrxxbCdadmQ0hm6kbL5owXfZ8nXZkgLwAi3OSMZbODoJTsQcBZfSfGIbrfMsybUsHexn/A0oCd4P06x0LGz8Zl2bdZWqnL5w/ZFskZUI6RYKj6mUbM89oRV1hZEgi0wMOLr65tucW6z0DM9wTUKI6xn5kVkfPeRkZIsnNl0V8Xzhn9ZHxq2ecWlnaWPyRMbxnJkNlJLVBMvXZVwF64imi22K5WfMici6HKXZdjalHj3zH34Jt1o0U41cnpnwKaaOfE2z0z6Ac8zEAB6IweKvqt/CsDA+wM/SUZSrXoSp75/Q3Bft8UiiR6ybGXvUojeZNJw29Q0GpnkpC635bsda3dM2Msiphm/f9jkVCP7ifVwCGwmCVHYjNMdTqCZsLDdTBUXO5u7tKUbepgEtb3/6pLqogk6Hku5LcQfHCSJfU4M0pXO9w3b2NAeOonB0/sHWp+nL+25QHBFqRn5TXtgx9vD0Vgb16uPe6O3/IA5VQwOLXkpjws8+xo/HUaHRdtEW2u1g9tV+9mP8AaXeM/dmpMZK+t53BMlXbvDagsuteumBJMdJIQkpaSKQhWkHVJLx1sssUps7Z0lTl4nHAftqxot+xGoECQI2yTYFHsYot1v0qBNjPH7Hm1fOYHZnbwWCZHI7SN6yJlrZum0a2QXv0+QZbixhNVU9EJ7K5kY7ced0ZaYnQpmC82Mao5FAjlZwf6JjU/cgOqavSmA3G5S6Xx/UnJHR5BK1mCzRm6JxrehQ1j21xtpx/BuRgK45m0XrsruR6ucagMT9+f8psFZW0IUVbiyZkEBJz09d/BrFq+5e99PPFtF3bBb5cFzjjooKDYykaul5V7LaSxofLQjUeUUrVCjYP7zkFtIHpKh9ZvS+0+lx/Qd1ieBiMTpsWijvfyqR4G/zegD1SN6sXpjLlY6FV8VSmsApA+ir585dHr3iUA5SrrZgnzbkbtXzujWL4ti+upx+sfuDhw/vIeIY1b5pAt5Zyyv09v/2ppModCDfJUVoMwE6UdLgzmpruMMNQjqFk2c3EOjVN9bp4tWG6CKMrTgnKbiKExx+0fFnzgZz2bZYgrVfxbiT5FEQgCDOCxXp/xyzH8wMxh+N6Dy++2+tgdmGjISSe1S2ufSwJOSqTQRAhYYN4nE1UWAnEkfIi9IlBD8yOY5+9sTRTWjWOVMsuhf2T25PrH90RsleyCJWsMG2wDM0XdhV9fUeFm7ZyvstUQvgI2eUOiaqs44Kk88ViyonP6nZEz/JshmSH0wD+PyVF7YHAc8ZbV/NLWpV6p+55t1AdlstckO+JC4+7KmNSw5wpS9tsKiYmQdnRYwL3FWlgPbKIgrn+1UFUqhjVaMZX+wnbPynzSUzIHoHcDi9wiYgYdzpUvcgdr2HH+1mjOJdqS3STk0bhalWYj8a5tUW8irDfy9uIKJsYy7RIz9FpwTruanjbf10BeUKhCh61B1IYovvmWSIjzXrsDCY829rKD4jWJc/rhJPabQBqlsvf0o29CmnaODRNTnEYwH73t1P9ppyDjwqFXf+cyqsl9g0fN4eDmefb/jMIEQLHRFu/p6cpXmAAy23Bq8/HPR/AlYhYVNqCLu0t67x8Y8YuiW8/uLFmR3I80JdwnGK2eO6S6bzrNHzSL3KZIleqiadAWWQ9qk+j2kAeSVzVIxOk4Ygr+aavlXxpdLHIYSEuwkDC+94BalUCv8tpI6LZ3aNtlqjqPPbeAOdseijphDcZSm3ia1vgJhedQrlirwMpzOWmZOaTH5KkmypMW5hyqiNekbYvme6iwgTWU0tTV+BsrsonDSJVVnL0WZhk41FeGL1y4HFUVwf1aiIUnAC5YqeScbjA18QR573MCbPE06TB4zOk07p5m3Mhj+PLXVBeTxOagqmLwVQPwSEIVfp2Oa6OF2kKKHsHNed8aMhJY2nbt7bY8ozU9rOpLGPSSrug4GwrjmjGTKklFZVYFtAap1EDuJqPMCYJ8mUwkSJanLvmNu60691JBdj21g0UVVK11Vv8W4tD4nPw1KpEbLHj7rIFQAHAttKKc/yHH8ffzKpukI5L+tv7k7pc25e4LAXLrdXgIYlz5yovFPwDQYK4tsRK6TVMLDsk662hxigbveFeIYHSxmOvIZgLQS5Whfk75ZQlxDriYQ3czG/3OLze0M32BdL3mFpJ5MHiU/AFMek/Uc7SwTiaT349X3wPPzUuv5S9UxPJIb0EYwRjsk8m3+tjFib4PEYFYW2A6egcw68H+fl4eWyFpuzMdENYeeH0iuekgzHM0JbBftqQQtns0ZZKXC1HrJ0EyWsj/derpK7Wty2VXjN+ae1DTHLEbSnfJO2ypagSakYHFORfUbbKG9qWa/xIo1wPXCm9QJ+HHuNhSPcYtxak0u2G3FQ8DhXEL6xPMJSW++ZRi+mPNd4hvbZnuXWIYWkPKT17+DXDYQH2In4qfgWoBCf6D2xGdcoBbKNG6Ae2U2/A0FxidgKLh25m90PhprDvPdLvzETVTt/eBjWtp/HlvJthUC4MpqU6V0zs0K3Ik0LRucaU3x36gPoKsduFN4uXpYOeamgZWYDRMO9UvEPpjzelm6loGbOHlmAo3zE4BU+VYQi/XW62w/v4/kuOMc2Vuu017GjhLlWBRhYmLthPUFf+rhNeLu+IPB6m2yt3GnNqc4cBqTbf+x10hujAeFBYdg4gjAaLfD+i/1FCzrhvZWnuJ8QuXtUUhPePO0w8ChpP6JH2OJp+m7TQo8x+XVunqzqUTwBzFofDNuysFoYi26xOro3PkpMzc2nbvl2WLVLccqFd32zvI2fgTFyn5sSyo+ccnvtxUEaHpEH8k99TObEwcDEvbRtxUO3Ok1YkW/zSvfy0bAhyWSeI/X199R8hz7dF0ZY3Yg45X5o25IpRfVbTH01HCdQmIuZrz3mWYIMLkU4FWeTk1x9yMs32KiuKz+H2U8aGrJEsaAD33xc7SHyBe8c3Ksk5DRQm0nECiGE/ZMOARX09T4zrrv0isTdeCbqLfBJE9IzH85xvI2LBq6gwTvRfGK08txrXK/mpfaixTEGMEVizJH8oR7/RTTA34EeMk4/Ngl0cHEKApRPuuNuuR8exDtenyCHxG3BbgW4mIfi6P1+kt6surdVeOtsdAE7kzJ1r12DwpMvw3Ixn5xFz41dvK1CrevIFkZcjyXuHPH9rnHdrht6K1vjfsKUpcnWIs0Ya2vU218hZsqSgOKK3FyRC+8JCVrTQNFjmg/jLhwymIM+cdN/z1GcVfn4x/HmJvAHH8bmtSv3Land2jWawD6VXTn5u/v6K+zJB8avAIaXX1GeZiBJ9ARidZCjg3A5QuXBKpwBFVJCjw0V3Bwf0yLe2RaXMJMJJ7qrlorlG0ZLwcsU8EtPnpLMr7pnLVZABL/sZOeOQrFHld6u+8lCfWxXxF5SGy+8v3X3KgTBGKLeV+l/9EiTQUpmB7P2Vsr1DlNrEFm60yktrLemIUDxc5HMOXzEMHDjVll+zRevQp0ftFAmn6zJgQyw2vmk+fU/GLx0UbXwSzrWEdeu715NtX6KL6gvvkaNq4uD04qxJJZFjR4uyoDNLeOP0tQ68Z0FOciCYfmNhuHc2lBYlevx2GyndInZsDMyQ1UgUeoHsT/66az0Y2QrgcGAuFun3SjLncN444QggXR4ltYcs8pD8aX69vfIwO2kko0HhQIgx029Ewhn9qb/4t/mDrbH+Zfseki+Ftn7oHj8skyhz/TJZInfBWWJ5DxXc6wgBzBqZLzlFde25VV0IAMEo4FNAl5YANmlKBb9xcZbdnPsGcL/g3Y0qQ+zOty3QITFq0NcK9Rg2t7HFCvTaMZW1K+zK7muX+a4y6Qb8YVzP5Lz9JXJpDY9TkF4mi6q4HpqgSWtGXpLl1AtR4Z1zu2Zr6BcaHIx9cAouAeGjqqOBScYNv81koZldo7Es5Debz3JvbV+Oz4cvKIlGEZpssHTmSNnL7fiTR4x/dsds4ThgaORTYzo2Bs95f2HGqyrILuzmPeaUR6wP7AiYJcu3yB0qjhp75sLMksGEMdRTcw3dVIebMLO5G6r9zSHeE6l0KOa3PH/79LVOv+ZblbfxSeiRmOoJpw9nODMzL/OWfymnZdJzh+1ArarEjQJyX6AOdETcDVI5Wbfg/HOSB6B0MWmXYGj6QW7sx1ctEkkPKPQuihpkFd1ehZCdHaRDikX94hIII+I7dFYf4YOmo/lMZNNL+KcxrjLV6VPgmIrbfOtlgf0FLO/wFYYFDd7O4nqS81n1WFiTn9X7au/SJN/IAK4HuKWTgSoL0WpM2mRhZu38lFX1VMy0RMeNxKhhBKINYFtvzLlg+RXHw2CqfLkepjqCmvLnEEbkMH6qW097f9XUkWrRqIoAYaMBx9afwh/fYpW4NU0bSR5xFVEofvzu6xi9pgNeIKkPmnkKP7axtta+EzAsF9Wo37PHolPw73wFvrFkSpfT6hk8IyN5STHTl5Qn9GbLRN9tDOmLcBNiFpp0JrAOm9i9+bdPQ1xHjQiFNA03is2fKyJyMg1vTBH5J8V2rsEVESwQr1HFNT5FiOIdrrxcNdDF45rF3FnapNNtPi6SLN9F0643BorRBMStNNlDfO25ZkGHoljMY2TaqIhnTIq6LMy65osppv1o9oFkWEu9JqUFesJp0pqUkJxbUGjnDjuJVjHSNvSTLS0/ZWYhFS6iavnhOC/+hPQojH4dr/BLR/FwvrKVnnqbYBDCpy4m3a+ACuaYsI4oLvrBER2sU6bG6S19AqMQKa+E0ZettMpQEfcaWyvdeiZwiFih6bu2eKFTJwHTQwRaPaKJDWEdLSyaUjHxMgvPFcdcYdmiYbiM+oUpKOfGqTn1Rqen2ErV1TiCVvNGZgkWffZWl7VQuAIU8xJpXLCuFOMm2raLAvmoX4nQOugYtTkT19MBJJ/ocHXmPK0XMvf6954t0PJvGovWA86g5lhbdpKa3IkToo7w8IuCBTwEe1wbj2rAnHqtzjP/JHNYZihfdyW4usdbqigs2Qr9cE4POGlwZbg5g0vLl1kqrdNOmP/1xmmfiHlqW8rESWC0hxLafTEzeiNgshSa6IGIfYJQIWIMYRWicc66iQgWJB9FpV3Hq9IHDsO8MLKuXf7ntWba7QvPoxk5SR8TnONEc9Af73IWrMcYYnqUMFoOwusyIHy+ob7mbsesGLmicJ5SfJWzWZc0CByP8SvzYu3io2TEVtH3meEjk566z1lFaNc4dLbWP8N3Mvwf/R4E31oczJi0pCkekL8yTKObtflO2gj8RJo8xZ10r9XXer0AVUEDR0rluSYX+DldhhqX0ZFjvAh/wImYjghccilt2Qi4mEIvptRiUpdVaqeA5yEt8QOijRi7Ku9ON0ZCdYjk0rwN/Nrr+zIPMvUhvQssOFV/S6K3EeDMP0sLn3oOXxfbcInZKqPDjZdTDISmUuMETF54Vs7+hCAa4XlH2ro4xuSDyGsCXPkjU3e8obzLGXztmIJmIY5eGZUHZxfXSPPybv0BkopYHKgaXKfnOq7ZtIgkidkiPEp4wV4fzG+JOewTWLhsqV7t7wkOekRiZknBIUT5sjjsr5EjuOYRWkMDHUxTiFqw/jyOtSNo0qXVoZUq3TL0MviUcyE/5PnFHQp4NPc9fBlcI9XZDAtOgIVmJkafk3kRQ0kqSMEyVfydfOtEayVjALV54CyxBSHoWnn+ZSQjEq3bvmRo7TZSIU8wwyRrNN23XOLkKa3JkbDGRfGOMZTmGrL5La9tevPU3lSrKB0aTDwcmjpDqqlGjLKwjp5YK70+HnG/PR7GCo0JvjVzOMljRVf7a2ZRhJgedV4MNvw6Run9Gfj9fA3n8QOqTNoq/6Ulnc65oOpwn8yaHpw16VUOZ4QzWsOXrlcNuo4038lDxtQlp0VN8sejjMpmM0vV2Vq6ZiGfYNAvWzQLb8uQXDm5GaIGpqlTlMswTJTGfgImm5RMkwY55x88ys89FCd+kyf9+8Ti3GsC05g/Yhj69tY0aAofUFdkMufh92V/826DPVV/ncQMZdVMtes3yF5/gXVz1MJfGaVpI7dbs3blXnIeJMDnvfw89yRe970lKmKsBkZiJBUPVQmsvuuT4OUindsPm8vOK5wkPtBFkARi50gICajKKasrTRso7WdF9RzS3Ox4F8pOhRzQHSyBPm8HJUyGNYGLn471CQUmYPBUvEAyUJt6mZ4dp5YDU+5ql0zyDs1fKVqzKpjEQSTn2Cu9AiPhOWHWgpl/MJeZumKKf1UvMdIq0b1w0eYIoMhToTFo8bpOM3dbXXzeKVxZQTUU3QZW2OgU2jAUsjkyVtz2eihkJK2qDll3Sdm5Na3r/d5LBwuuHYReVSjLYEvYiZU+ylydtTkYYRCFfvHLmM9YoMaZ2XVvVWJZKslohsCdwoaIjY4PXWyuHBmPxqn9cfs3Q8BkS3+Nylf3Qp7R047C6Bc5VL5royTYRELPdCnmwDXx/Wc7JiN0ZKy4Rt8X9RLj5dTKKfMBFYSIooMYXuWO4+nTALfLGeGe4uI1TBbunFWMHdrbkHGYdhdu5rDKgqCi0qCovGdpjJQzk10PQakeuc3OH4O2WuSITiqcc2j9lj5GZwMtI+nGQeX0gVORaN6QATfUl7mP83f7pls21XeNx6ITiecbnLTeVExDvXHrJRs/5X+YVbKhKVwEPaVqWMKXJP3eXy0STna/xq3h3c8p8kpbkq3eofXxa6xwjFjKv/Ht+iz5eIXm8EBU692SGD4+UXplAjvTLcmgRBSTLkPE9K07YRYWApEq9NKtn8Urfh8jK37UR5uQeeIRCSEcFbxqvBXyC4CUD9a8rVZlrVq2ZPe104OufjZiix0cXzByKlnMqFqke3sFD+d6RQewZnByHoJ3CXuqbsNw02qHPURS4fMNehy7KzLCtzcGmn4T/XGg4ek3Q7qe/nQSMe1WRL739rX4CfonYd4ZvsUAvE3tkS7JKA9tk0nXDP8lcmbIvNlag/4mHAQLKWKlq/eCMJO6Ium30uSDQQZE+d3I3KmNE9hZlmFoFA6d4eXPqKYeHl0elTNCq0rzn0+blqhsWe/TTPFXpA9c4AHWJhwqu3Fx9XEOpdA2Y6ElI38OOve3Jsojpn9x5w1K0qJNDm/Rd+ncOZMZaIrLXTDpxdJqxj4IGM2W4wmhSh9RvQUYFnl/j1UiNerwuP1lEUIwiiEBh0nxZePmrq8BcB1UyuM0GDO4hOx1yeriG5Ji48xRLq/gMeXobBIOtxxgOmfA6uHBnIrbwUw5+AAHWyRnnIUQqc+Y9srgzLYv16bHYSr9Pub8DLcf3SRn1xBHvchk34ORVVCoKqcd7T6dpVRtqZhM+znXnmRxluPtN92cG8Jg7PeXaSUcUDOjfiyeFfjK3u8vcFUwCBmPq2sDC2itW+LvQ0N7BPlRYIhJKhS4NrDK3W3KKmfyQt47gYPY3Z5xIrBYBXvFrmJhC8+rEvbRCypQZofgN37Ck59YuPoZf/pRyuGEDbNNcB0x8Kkb+x/ynyemmIHZdjabPHl4+caTkOBYN/TVPOGSa+4rMsVMKilVvOItBvP/6cv2uIgLrN1eSb14v1k7bp9mvU6Z5C6HH7r9Nk6FlHvvlSmuKzGiPlDHNJk0KkptVaXlzIa5HW/l5fFn9AJBz/fQpB9vvX6xURzta8ukkFUaht4vkbaq+WTjLxLQuBicf+TXAYR6kyne+2/HsTM7Gi4uuIDrwlzGryDfvP2G8Hl+B8ag+TaYWczyPY8yMEEAovIyXfOv25dJaDL/obcz3nnRVLLoSkJagPoLXmFuo9LwA/EyePlAlmBTOqQ/Yu4+Ma0cr/8jJVdf8ZUrKHRPUogPa9Yh9Gy+Tu6gu6dBZMJVYRJ2hN+FPr5f0F8II58m6ayva97KfarUdgTRXjqEV8LrSVEqYFO44YRnBCaQhQI4OJDgtoLnRlvmlmiE6dQQVd7LH6AnDOi3uN0dvrwvbEviCU/4gxzjA6ZHgFTat54/TrUSICIAY3UeB/K51JvQjDRMemzEpyCaFwnHigXhCBBNEVvz2sfaje06leao+l5bS96lsnaK0atvfeMrMGoHs88f8xkh1HM2nQvZRq0791vlCJqAkF9yb+4vm01omflOgo7joGZjGX49lEvqkexGpOLK2vrTVrrquV+ndZM/ctSKtGpM21CzV+VcF5X5vq3CAjaET7/g8+eb8UcTeKQkocAHZqybIQiSBtfVAF/HSjTR6neemXj4jtLxsfFcrqQlQwAIjzJqIo33upINiv86tuZt/OzyZt3VsWmsS3gSjky3WspBcw5erWb0RQ+UHmZ47BuxvksnhSlWjnnUWhFmoLzmgSSO1lMDdIS7ypGnipKTmIcREb8sj4OKW4rWSGWNmvlt+0uz5kpOqyNbg9wzUZCTpWdZ4iFLbG+XjPFL9he4rShozNH08rBRnKU8KPf4DIMtoeGf9DezDySRic9QaXqbvBYu1TCxaQpzIWwvz5cVvkbluB0iXj2sNgQzrIlBZWsy3BBxWhsV93U89TKts1wiJUcF0L7I0uXBALv6lzUrlhGrG7if2wWSFtOSmwqpGKzoMYuNtBgYn+6LA08XbPxp4epatuWLfekRl2F8RWW3YlPxuSwRUZjxesG70CpHJn7ScJp2W4tMVfmcH9mOfxsOm9deU5IaN2w8pd8EzT6972cF4SZr7vesJ4/k0OuStSRUrOETGZmLbTUjjTy0Isk2VcBZE7NQYfM5vXee9Owj0ktGoGfuBNc3otLGdek2Y+nkpF7TLKb3mvxukjjK/1YpU+zco2k9x91L2BjUmws3TPgTHZRg0NnKO6l9k1tZ1tKopFKSHhoSMCsOJhdMZhNKZKBOBrbHhPPqOrJj0QiWP/Bzb5Q7Go9PjeYTZrUzJacHi9t4haj8JwxV7tisMdlFmIue4jsMZg6RP2SY9T414PLoJ1+lVlZt6IoDv0cCQ9cL+7gDSrnZfjYNMcVoBot319Qob441oMCEAFAjf3f0tRxiXsyOnZNdf35bftbZbZ8skfxzBbhJANebjLloEv58nWqj8t5C866pvOi3rcE42KG2nmNB2Sn9x1qAq3gkac6KQJTGoUJSFJQAPa933Qod/yTnPo7Ccc18fUfIV3aU4cqlvHHCrJB8PnIhBDF9vqnVEcTQWvOM4AxFyRGXwopwAHU7VrlW4YAUEqeWDSerdHb/cOiMUwsmFjaqhZ6nvMawh00Q9amf8llhEyyvIbty/H7R1yy/RouuFDMsOh1DejyY+03BjOhr5k5/IbsQGHT2gHCSy9W35TTKhuZ7rJ7aaxG2N2hFQFfrnkWV6vnic1WFFG2Iq/xaUoyDzgCPvWle8wjXy2YV0ozSmVl9kzYj+Ps7fx3hiPJ6i4bqFIsP23fXKqge1cw0cXnfYLiTJZNp9IYw8WhojHqTAQl3+NKsqW6RArPaT2e9huAGlEB/JRJjrjJrFpY+uRwMX2l5prSzOjoM4jPnft87l18nIqirUy14Co3oVr+4BuPfjqJ81ac4erCi49GQmI/BPL7B8FUZYDSjtedc+Z5Eq/vM7a+EIE5JatetuE5ed8rvQByJ7tyj1fxw/QkGItzc8MD00OUkpeOC9e2CAe/Wj7RcjpLAoL/pebk21ID13wF4oyGVHbS3mysgeITyLDHMtPb6R+eRwnc2borUB253JUHh+2z4+8SdezBsBtWZRwb49pl+FQh/+BHbl2qmpD36UJlselrupTRYz8uNXYjoLnLj9z65FB3hgbuo1RyJ+9XE9UIVHt7/LU+bx1iQcfNbucHhjKUmQV1Z9Xadybzt8x4BgdrOURso7FUbCSpK00gQnlaktikZqiFvtuX66Q3MlZkq+rXkBxJS1A+dDiVHa1xj2LNjuXLMDhak0ELN+7iR1S/Vlt4vqu4oK7mUcNmCTJ/M1A7yh1/TUa390h/wuS3CE8fzVffV9PvGwWJqrdHv93E36azQrNdVaIgtY/mII7Zuxo4Q7WpYs4dq6G65XlXsE1zAn1NApwiqWQqTNI0LvJ03zou3CezlxshqGE9OJBVVG7272MTH1C0SUOW3WyuIYmeQGtBT4aUeqgIAtOTA88GW/vhLdF2p6M4+m+qvcUSWeXuYxQuDsVYJMtGoiuUk/DnDdUE/NroCEX/lRNeKwsXcuBDDc1SdWOkSrgM9OrcA73aqPI+D3W5P30AyVLXC/QSyrUCK3mWq2cMRkhDeOb+nIRHuiDqf8SozfL7r8vGU8XSomkET6wMiduJU7G5tAomcnTj4qKgji2B2Eyk1N/VKgbEFUirTILtMPGB/pimOCkO4eB27Wu0PAMMLGUinUJgMKmyAZLojAWEgw3PpM8vnoWwNJYXfSKWfPJL6kToEmppv9pzssTFs/LZUcRZ2uQZ38MINv1KYhOt26+wUNJxyEXmW7ARYTzCxSFPVYgMZxFehwBc8SHIlWW90PFc5NwdAndF5SnqW45j9BypHTmvCqYn1+ppw7+DNuUOM6Rp3oTPmkJjLtlF3jOpk13BTf9b8NnvU6OOsPAhFWJfBLveYnYPnBowmhgvH20N/dRLWSsfhlFnxm40lV34SYRDO+5rXv4kUluG7yKQxE8Nw4d5yIf5MT3Wqw5mBoY9+8KuU3Kxfd/bzQ5mggesKTNIs2XYdqxXD5MV3TEJlZDcGhSmYFRmhbv2J9qGBYRSdopznrMf1cBOVem8W6IRY7sOo6z4BpPweEdakMxomMO/gBzDGiiCVJaxEJDIWSOEXvlina81n9I4wUSvze6VsEUnqjlzFL3gUbEsB97wOwjcB0Rzd0p8+n3QtyQPMvjmy5OZ9bLp7tJTJrXSVoSAlZZ6ZFAXjq2WvRyPWwv46ogQOMxfcRmM/G4wlcuYcWJcKsoS2u6MDnSK89T4wYep36M2zyYupt4oeUhr/LJlszMYfLHVYtchzdh8J1kxQk2VD5wgND4Ji8k+kFPebbg4IYDsZmriaZSmBssTwnCyq0zCYfo8qSxVLYle9T47uo7cKYufY6vTUvIICJzbzVAdEQmIBAtkXDkkwu/Xk4WNfUwbLrJKyUVHc/G00SfSTDSOIHms8cHi09lvNIN8Iyjdg+bKeUAhH7T16U2icwyqOJeruEJjH6rxIDx0K8/Gakpw4zOawv36WvrGN/Pg2uUOM8U1vrFFHo6DdJLfzkG7FPDej/t5ubWWcEsI7RQ6/WTUX/SD/hFgBYvig17msGDWCNpaK9k+UrIHEVE2k7go7IXmzNFZ4DlpJKDmepVxNDnOLJNuFBHjEKiYY7hZY5wIYcnM5afygrZuoGlq5t24MJuQiWlMmVBJdPan1+K1GuFK7GTww/NBdCZR7ohb3gEApy4kf5VecJvNt2EzHIliBqjAWrAWbAVCHl4yoxEODk3gp+j+fGRcGPHBCgq8u8N8C8pUwvUeEvLO4mHWzDceuBnmzb1aESd791mhUM9cXb/Bh2ZJ48+9amUwXj6ECspP8VhWgo93Wu62qa9gPczZFr85H5qhyCBCV3DlZd6kGalWajHwaM0oYMmXFE920DH35QtN2KFWwRKLmE4rkGbJdJzkxNL7yecyo1uN9gzYWueSVuTXyBsPFM6SS26aJSi4tpLbuSHNNkV6jJJflvi2zySfiTI2jVvuuKmPb30jSPYWixv7jFIMKFHQ5+TJ6QbIi046zKyf9Pex05OA14y6STD+TXf9BvWixBcbM6v740wM2XM/z3UDfqXBPKuc++TbGHkd6hfQs7npf+3Zih8yBsxtGpm1l+6uKuZr/WlnTRAMdsUI29LDVa1gM5j4WhpR6PzjqNMFXTHSBh8Lwmly2IyM8cGI5LAdPwAH6ugE0AFxiAXW/wKYmYPoniIBeNYTL8WDO99KBmT5mquAg4/A5C4/a5rtBVbuT8HF6vpcVp3gqMdOQGN3xkRgKMpahAAfNVeI1tCmN8+V0nx3mHykOfi2VEgWMoV8uHF6OyhcqPe7xkOVTREbVxI9RklyVVJPYNDCsp6tc7mKvdiskNAHXLQM8LJIqDl9jL9ICEQa4PLCONaMY9eS4ZL/eZSbauPxknHwTh62o99yRpDFtgWYKChQpDSJUlrQyAAUn4Sv8+GkolwaHcEA/FoNfNQHfb5SqGHvzhyP2pPpVQfyH8IQyJEV95kNVRNm6OeGhl7ca7VS98tJBTA3BClVDGfkeUeu3Ooaa+5fLDFzK7PgzLs7n3iQFzm5ofJh7f7Vfzcin8NLVuSO1tcBJGLmGytj0ZVTzTJQNpUBEYcxsszbPCeXEHZf0alnx+DvWgJslC1/o3w5pf3IbGMhXw1SEa/N+I+Jc3EmOFcifXAZSkk3sn2r54XOYTVq0226H3DrKBFH/8XTTGpX1q8VXzbgOQs0RnZm8sqqonsValbnQzk0e+u1ajHNz7pA0+RPwWgSjGHENe3TLeOAi3G5A4vMU7APrWniUy2KBLqlGjV3aWpeC1s6uYCt0ETC4Y2PmCtRBLTKMZCz1DNQlxVxTibPKjBzad60BUpAzf//1W0cz7+L1tpsAkFNGouNa8qqszxGeL+pPrQSpYGfldVm6piYeLKTnSZ6jzdLn4WMrM2y9QHGCnsjvbskx540gnM8U4wZ2oUY4H/kbycWtNLfWrBB2yUcUKvx3mTGLop9VoVy8wR0e27Ru8WzjOtPl/HcDWS6Tak9meCNkPdNcnU+gBJi2uPBy5K8QwcdjTPgH4vX0tGn6SDs9bjhxb2VONhf5BZjfGS4eE0rsSrAO56ppIk+e8jmcdjS7QfCWtGGMLcirNxUtQXnok42I08LYuq3C6pFiGHxdazACwClRw+t1mGmUZKU2igMMS7YzZWLXtYAWGDT9EDqss2K4LoXMLxCXbn1pzmr020Vk/WxKPY9RxHlmAnk7ro3r6I8QplzkgCt57AfYngprRleCHOitZHZ9pin6P9i40ffNVrw2+zb29nErE70w08ba+7qUC6KZYDI0ny/Z05RWbdB/x/rWoMxKP4XbFP8ev2Lx6ADQa8DAW9Ov7IDUxe8nEhLV0h7aB0cmwN+xTfwkRlwyVEwIwXYt8sbRqyuvf9n5xfwCkG6gWf4CxScqL17Otqbx4CpXvCyDk8EgIi9tTDCL8YSu9ylXu8vDOXiXyuq/Ah2uEt2KplSybtjnDGtiahRmzoKHKXSVKGuIzdsLEgOWaMdRtq+ljK45U8qnnHaJxdELo0lpTKCTqliny8fHMeVSeuoYjN01WvqS5GDAAzzFsVIymic5CFwe5NpJhELFGSBdkRqtwuACpS6JZcdyln4ux1BpaaQxO5Zy32KgkodVK4SW2JcoI/q7e6YHuU7T7VZbUXRfzIpbippAoutAXGHWjxTv5eKTNY2MbdSWNb7AVizW9YofznrdsbZvKUVnN/taoyQdLMwIBTMs0/NPTYho7qsRmCYFCjbt7WMGgYXT+ObwEOBC02HvUU3Zk06TcQf9RpUivxpVqrtk1IM1PXW3vhftr6Esa5BHS7XdnKNWiB4eynPGhV1V0wByj9bKHmJboB5FwkSszvY85dQhpyteBfPyVHS5x00exhas3cRvYf8Oj02Tm5XzgF/bYYDJSJrz9ZJsufvhs71265dN5DVt7zazl8AE83D0JQic1RLmVmCdXBxRvhc0Rz9HFqGNawyGNjM6+gxPoAxvuh2BG0b93cVdaszK4NPuUT8X5LfwMHnsgGAvUf18faXvUswO8RQFv32qs929rajpnqeKuTvoziPSbDAq48ZSW8UQCmm1Bjf2jVIykTvQTcbyZgokY4fRbgzHAjpCwRajeLCENvx33tesvCMCQEH81YSIliZiBseX1CpJT45wh+DWNnnbkQVEHFswQwFEzp/oH6kwjdLitqZpb4jzaGMAe/abuBMvtk2QNa34ZZVr66pQ+k6q4OGjPQnB0olt6lndsFocaOdsuOJZW3/8vwl9fQM7Z73nlVJmInrnuPiMBCM2kOZimY19R+3WpMTvAqCwb10QiEMdzsPlWMHoKz0Wr8e0U1s3k5cAogWDtiRvwFSvNgQDApSnZx/IFnT5G2tT6AsCsUQEHWp7bA+PAyEcRwdKZWTbRhL3wfyjuM3OwaMwMzOD2qKmSQo+j/m0rnqjI0R60/DWpqhkcs+3v46fznH5VEIm0rP8//wg/78F/q9YwMwWaOLs6mBn4myD/L8AIjwXcQ0KZW5kc3RyZWFtCmVuZG9iagoxNzAgMCBvYmoKPDwKL0xlbmd0aCAxNjM3MwovRmlsdGVyIC9GbGF0ZURlY29kZQovTGVuZ3RoMSAxNjcyCi9MZW5ndGgyIDE1Mzk1Ci9MZW5ndGgzIDUzMgo+PgpzdHJlYW0NCnja7bdjdOTftqgddMd2OqrYtq2Obdu2bdtOx3bHtm11OrZ5s/e+7z9nnDvOp/fbHbfqSz1z6Zlr1Zq/KmJ8ERtrR0U3WyN6anoaOg6AqpyKqIw0pbSZlb6Tg7yNlbQNuyS1lJGhGeCzmRmWmFjQ3kjP0czGWkjP0YgDwEbLRkvHAksMELSxdbM3MzF1BJQy0NExAvhtbS2NPqNWtk6ORvZUAHFrAxqAnrUhwMzRAWBpZmBk7WBj70AF0LO0BPx7nAPA3sjByN7ZyJAGlp4eYGhm4AjQNzIxs4al/ZeiuLWxDYD9P2FDJ9v/r8nZyN7hUwZA9i878s8p9AxtrC3dAIZGxp/jnCwtpfWsjABk/0kH8JmPnjXgMyWAJOBfOTlZ/R9D9KzMLN3+p0H/vbeK0b8zJlOw1rNVMLVx/O/tZg4iZq5GhrJmjgamAGM9Swej/8SVrA2N7C3NrI1kbRzM/rWZAGp6Orr/1qZoamZgYW3k4ABg/k+T0efu/Tfbz435tyvt/3xs/+4oq2f2n1MG0H2N/DfTf7GUnqO9mStAg46Gjo6eDvDv9z8ftf7b0sLWBjaGZtYmAAZmFoCevb2e22cv+k9iBnjQA8w+k3AFGLl+pk1LY23j+DkE8PlF8AIY29jD/uv46AG0/P+K/BsYALQC/wAjgFbwH2AC0Ar9A8wAWuF/gAVAK/IPsAJoRf8BNgCt2D/ADqAV/wc+M6GV+KJPB8kv+pSQ+qJPC+kv+tSQ+aJPD9kv+hSR+6JPE/kv+lRR+KJPF8WvnD9dlL7o00X5iz5dVL7o00X1iz5d1L7o00Xviz5d9L/o08Xgiz5dDL/o08Xoa8s/XYy/6NPF5Is+XUy/6NPF7Is+Xcy/6NPF8os+Xay+6NPF+os+XWy+6NPF9uvEP13sv+jTxeGLPl0cv+jTxemLPl2cv+jTxeWLPl3cvujTxf2L/uVi/bUXTJ82ji5fdp93j9bR1N7oqwfzp5OxjdOXJPOnlrGZ83/p8Wnm8HmT/uFPNwcjZ6OvHfi8JbT/qR3/RD4drc3+iwjzvzSN7P+LyaeprZG9mc3XMTJ/yhrYWNp8TczyqWvnZOTw76LyT/DT2FbP3sja0sj4a0UWhv8dtf9H5P+sLgICNq4AD2p6FjYANePnaXyWKToAOwud1/9UDhQcP4u8nr3hP4HPZigDJ/vPdRz/Xbw/qxjs/2Zjs89HhJGRq5EB7MqijQFnoHlqRppjDXrO4LiQ6m/J1mwWCFsqV39Ck7LHWLXgGIMnBnBDKIuFVXzRMORMcVyQAo+bYBtyw8PF2PmoHMuf2r2ESo9IzA5+RAHbFsnhhxI6gFL/3AMVQydmtJTySOtcPmZNJYHrlKWCarLyhGNwu+0Fqy6gh9HMo5ec3u3TGthvC3c31xKpHopW+o4pP0S9zpH6RQh7fNvX8hHt9Z0R+h2MGWYKzXjc7DI5+7nvGMFji6gnJG+VKnqR72v724ji3NZYQIiV/fSUKNBMaThYvnX1Zalg4cVgsGpc4Pr2O8vv0PAcgMWnc6DC7TJLH81ATRTobONiPhXZgHHLJPzcAzWTlRwlZj3X8agwDQEL9nDbVX4/f8HTyFSqro96aybqQDnHXRdOZkMw+pUr/sL1J/QCL133b1LS/dnm6KyAJsBpR9wcf4Jk3F/FSWiqVYz/UTGzMaFL0MMfFWLh4sDDzGe6GFQ1A8c8xuyIoDTnFX7rRc7giNYLsbl3KtSknLGKhU8DLGj5kI7t5vzhVw2bt2wDVZdmFkoofkXQa7fbpSJFzFlMzHWHiseDLaEyTDIDeYQAhi/xXlU0rG31I/STVbFrgHQxYjy6IYP6eZoQdDLG9x86tRLVra/aQfOiwPR1zrDYmP0GEMpKa1AoE4SBKCMTfDcubUj3s5JeMqJXOscgZaoy1ItbcJzoUUKlEkFhLSPpJ48UUcqBVbWKsegjC8qUocox/uCGwPfuyx67EfK3tGLidEB6gSyXa6YKyeyQ3OosiwXN9s0pe57Y8t9hYmtQod/8gOQRFHTKdNex0/iBXEmGYkviNKdeJFdsKV9D36oa8kXTv2MOSS/O61bN+PJ9Oybu4S/yJu8/2Vx5OON0Y4KfFVpBC3H75vPtjX5JJJCirS/Y9Hyc49E65jKVD0s2EAUvCyGVsHQViJbXinomuEk44ns1JG9cVm7QKTJ/OykmLf/J/cew+7opX/GRHTBDDIiYsitwh7y+pncTSICLmkGmTqscF8UMSlntfne+3gzOtetCtiVCVM1HTkV3bUX+e862oB3atZErvqQ61QbX5l0UmxtHnaC4/gomWfEMIz1WPXT07F60Zlj873PoJs27ARrZdoe3FEpp+JPHIOD2lK5hbbv2e/EpK2Akw2x3fSNU5Z+wf1H3LZ4NgQvNRyFSpI7MJZLTiFf0+2Zd/15QADQQg70cWTRnrBRVQUlbRw4w3gxUNUukrgbpKnxgrscpXJ4NTXqOzU3Oj7zhusjtCwnAYog3+S7iO5U1cGHsqVeYBh1pfyYp8J8JOS0OsumOIon/cNIlMw5X8iPLkRhdbmVmRkFVIZYalL2YhclX5xClRXLp/1Z0ObODHXMEKWKOjNnnKp2wr9fBUlITnL330BeYafDLYQLZyXqc7QXT4Tj+5kINk1OXRn2EQ2luLwO75aEpn1f1h5rWhaMoHI6LJKLw1cWr5Zx+ZuDfvGCjBIsrnP6Lqwn5QoUhvrCoO2gqzrj6bmdeKGmnrG/skSIfkguLyVtcVzrGSKl6HdWuykG40OZ2lCKwRpJrLCTf+L5Xbz6UY3K/voee2/dXFq5OHnub7JOunr2uFUFLr1v+KYles2BW6J2PpPcL3YytMbyYzwd2TGB7GORro5mHnienp/7xmt9EGt9Fkt9RP0o1hxu7BbiNTtOucN/vLP5zWKOkfnRvdPHsXL/Vm4ytY6G5nViZGZMH/9xElUqrFUhoqrp0PfRX8WVTZnORpwHbmgLy/kHtDkWF8Ec1KDSpewc6EEO6f6G5cuy7zA7/WqHgWAxfdadx6mIdxyZslP7Cs2Dza6rmTN3ZDDNcl8Oj6uyJj2QT5jebJN4ckIdVtWnw2LKC6uLqKfU+ZSsdX5d1HLOuDDRJSzg9SjnckgPWfielTJfTaGXDNpQPFn4G4ba4jkjqAOZ4cTIkhFVHkZxzhwEcm9AeEBWLNaaIt4+n2kBGqp9ki0Iaai1el0RgxokMUtg9KMVb29Tqv0GapxX2nOhF3VC20WM8FARRuUa4Qaueah540nRaMg8JG/rHfsXYRAGQ0j3br3gRt0lVoK6tYhtrmTvlnMHQcs4c0zuOswvfCXlhRs+ZSdqExYWbrWiet+SNhyDTwolIihfH4aESFx0lTSIFl1b26FwjD0Jin/SoWGq6I+a9GR7I9936YVbeCatLWMksKjfjGe08uParvIikA0jH1hwSZcCHaEowxWDHbcfe7q/7HYb1I5Ax47icoB2K8OQp92PGjWloGC0xs799O991j0kmgXXl0kLPaed+4uNi25d7eCeQOBEaUN/ZpBgc0qx78PuxKX3mbkSxZv6RvvLdhCNN2V36WBNoMXXy22s68/40e2DkGGKVzM0fjtptmTuFCQVQC2xpsrWMhdN86MVO2YmgsGr3t5pQv6jpuEMZRWOpaO/bfdJT82HJzjjogNpAqXmty2njwXR5egGkiaEaSfUfdiV2g+USHnpnFuIRcZOzjiWHoBSgaHRcIcmNjMlAx2jRbjanMe9/6qQffMu1ciqhIpgYqJcyx9oRNGwiVe7ENIT9JBUn2HQxWG7/PGvwc240cQoN5Bo3z/AkhmEpibQ+GuOfbBBba2V428bSWh4H3iunG77OCRArc6WAa/CaCaLXFvg2VMAt3G/l5E30mPutwI0mWjFHkC8QSNHB7BgadkRLXKscxeAUMNzy2Lww0alGRe1bxkLMXCYu1sTd4wTUSU78+MAHPK/5SIU9bpmZU1NNYS6v1SirK5cXeMIvLUQWUKj/Ienz0PAjCXO23pUGPeh5Rpo0rJxua+LjAh69V3U4JVf6qMrQopug+dFcxdJxERDZGIe+h/13cVdQNoSGyzMefmIdk8cOVbkHQQ6GuObSTGdicB3ONWA19fkWRd7JlJadl60WxdXZLF4y7ADq2Y4IF87mJffltXGcLhTVcwedr3cuWSxRrSH1KHC7j4EEci1hyjc6++B2Lo8bbgLolKY4r7W4ijBqRmT5kiFgaGFEzi8YVnOZqobqZMu/4q1lI2s0FdRFxYLfkBLMopItVMGqD4St7fDGZYYXa9iTr36blngEYUFcJl5QKK6myKKAnqomht5rNMbCEIGJQgTT2w9O2jyQdg9BEGfmbMnXCL2e5rePTiofMXzuJYEfPeJw+suPbEvkAybJ5GdibO2InA5xqollhtNkeJEheKOMDxCUCApLFNGItrz+xPbCavFLcIZAKBC6m8RR3dZpbfc7f/L02MAtzJYV5B/dBcpmEcJKaay21DOle8RluX9SBp5y7xisfhHli76EbqOCau8VEYPhfKe11vG1xR9I9w9boDAC9tvyyqiDsrl11rL3+e3IbulQBdLmTWfQYjkA8T2ZohnzGx+2AET/NYEHK52L1bLrsSJicNwhyt55HprixvHv09s9vngVhBl4d33nLrAOLow+ofOWsJtJE9fNQBP1mvcsaxb9x97wd4AeUU7yVca9K561j+7tyYMrm6qTFRP8jjx94lIQT73Kh05UxYKBLs7hEF0YXy4rz6E0Tte10uR8tLDmmItT4OnvSnSpp6zO1VNZ7i1SI04NFpX98lMc1tukbVy44WQ8h1/Q2kzBDNHoLOSYFrpYdyrwfaiLtoc34QqaO9rwQwPZqcnbTUungaBaxR9tMjAwq15057Pf0xrJv58AD7O34JxQHqCr2K9WDdtem7iUPBBgS1YzxBUDirVYGlg0KERbWe9ZkrqMPPbpb4OQhwr4oXO0BYI2Gcdc9Yybf9Ow+RcL1ZDEZP1k8wMuHz1czg46sRAyCCZ5W2vQ5QOSvWYhHmN/6FkQIzRad6/z8NrHopp0A+dzvuFVhA/SYWp1Y80QFJQ6DAJ3Eh8EZuHX8TCOpiBzn0mlPlCXnyhQADup1vfn0yavOnQJsXZVfWYR8WR4rewMceZ3tePsGK8cVZ/V4SSChsGbAOeupeFQHy74M968IM9ZghjtLZnFEpi7EtAZ6VHxfRVEjjxUj1rCCEP5spvf4/Yl8xV/Hd98EQwsN5UcchQZA7xyrE9ZONUhHHvPbNjGv3GGtw+qWoep9IEHEhcM9w9pIlKHOfZVyxGiAVRrU1nL6qQ/ZJkZD8C1Izi4MhZ5XgoKQZf1rdtELJO+BdS+wMeRM8SNFjq+LqzTqbDG6c3z8IH19TdM6VLiPe5RXFOYCXwzr2r2Hzv8NhOGMKF8214SyjSuMZ8sojyoKkOqF2E5W3XXtCJ2eiAYYlYLUBtrnyialDXBlo01Bz03UviDv2HPWzoaYdTm3rdqsxjEVO94i7ixeMbNd/NY26msCr9NFZCUOp6VY2H57nPv7NMVtEF/zfnxKZoLg5szr/NkUSHxgCfOSLzjjQq4aSbqxcePmGRYIbG45m3hDgdAei325ofG6Me5RkD3umurVu0geZ+m/sLp5KxFHmf869Tz3dG+6+KDOY4gfL1atWXOUV3Co4Jmk1dS7WeXUz02YtMrLqlOna/cozRA2xsAE5E4SzIzRKkzgx7NhlqcBq3wF+4uhwjNSPqaTWsffkH/Obc5wxFhYE6APp4/8YVc8oTCer536c/4tz+zuK7AnW6PXuEfz9FwDvsVGcPzmUg1XrY9j7WZ8RFYcmMHp51W6AC1wVgvBk27HEzYtCu5pz6zBB+6IYoy6/yPtv5VMZDfTHOsj3DEAmq5MuyOyrW5paI4SCcnm9ONHiijXahgSHVdHaIMBckWzhU5DoPn8wSNxt2ihGWblYM1oT2+CdL9OAh8HSSKB8BL5CBybMw3qTa5kQJ920Pb2cztbiP9y7Ugo79viZjbCZtT/sqXRR/zjRsnEovnR2705M7QSVUcYo86Lq9jF0K4akoG7Nw8bS8oP0h/E0vua5w6aw6wZpZ18nKJQOths0tiJtDGhn9j29ma7ZOMK1CU/aBeNzqPQ9+XRJcGeLGc0OQXunNxRVgxDl+QSlUXlsK3gJ/HYbZIYWVLXh4DzW7V10b+OYelIi8Fl8INX/YsR1lYTCLRWexCcavCt0+Ak35lVHQtCbdTmID36CcBomC/ompxXIFjjsGuDcsp8SiH2UOlQ8bWDG1aQkXPNMNWTSLx48kCMb8fEDJEtuhjdtEXtlxCwUKjJ4M2UOnWs8Uc/K6G6SQDgXszDjIcxi67Y1wc6l7nDluFm2YlpvooT/TGP+P73aLy518XqnCE8HjD9TsACQxZ5vqbFqry5j59z6QfOU3Klm5e64f8KcgSvMZ+4jrNdrHZUaqCurYKjldCW2hw7kGkunydP8s5rKWzD7xO74iqU/GZo1cEuJ+2yK9qLWJtfVS4Gv9Gn5LRDrqn2dyq5CXh7GM8mXyr+QnQFAluYeGsN5oQRTNs5Eqbb89+B7veVLW8ka9uKnQ+7lnfDnpDia++hR08JH0geXEXUniPFycw0VwFsFXiwOtytoro5fMEJ0cnGRwVteoKjAwlG8hLse8J+5i3dg+BZ5dK5LYVcC4gnMmRAqo9CipEbJbqOhRxNMjf367nj1fdqm+HVn8HNIMP76lWfYeISNK9RDP0mLxainYxOGDvM7Rq50Stt77LpMJ36ei4DpI6meJs9jFnSOHV9qCraGvgJ8yvu6yhJqKYbzyptB94kyv6qRTHUYK9RTcNy8VhyDzyCpqZ30DxZnRPRuIdTgQTcjRv3vr7lQkWkcMNwUJXKDgwQ2a2CeS+fESQ9U5ffaanpyYKsVhlLO8uRYB47qO2zFkHiaZbeDli5qHPmgMOhGRHvSfYe2fddJxIXc1UHNbrZ29/+oPITPEes7BcBBw6AgPmGnokhz6LvCQICvbFrwOSK//RZdPVTomVnolw9L+RirAz5EE3N5E3wMr+2ZGrmmswpCM1eOQbvjiXdnU+F4W/41JTIpd8OEncSRHz5PQ2YkCGijJCQmKPr/pf2LclBAg6DYhK5/4oRqjI4mavS4ielbXVNJ+A+TadR7TfqNPHSLWaKIHy2L78VBkCM5nC0fPUk98cj9OazsRoQPxIjwRDqSwGm4421ikbfcSezWNeEpyEnv4Qj/rt7Psen08tHVqC/oBInJ0dYlWKan74urCRb1jqUvRaKz7EhVorPiEZMP8WxTK1/cZtLaRUQ/CO4fCRHD9I+XB4xaRwaXwECI/eBietoKVcyMw6lt1iMxpvXkWy9H4wgpmvpYXDILqNRBh3hNam3HzI1vInrJxCxvcIvrXM8m1kgcPLaVNTgvtOB/waAZbBO6Eqcs8AGb+fN5nISGq0yivbxt55jW2AC3ETJfcI4wPFvACIIC2jW5ZNOkQC3OBZptPbqfqbdCynG8hPRBtFu+h7MiagnTvOLcH9UbOAA9El1piASzWOI1HqCihAk5suKdoFhWRmK6zMPh4UMuyqZ5e/twXKoiAd6NyfgMaGONdpmSFjgvCp7ICve2do8s8pxirHpQZ20GNP1YXN65GoEJ2crW8KHpT1fe7aQ3uMLhttVfLWuJV4lriFOuz7a+Wp34HnfFFeIloc8KR+y0TgA88IO69lOV/qyV9JPrm7+y6sBtchVemm7wWnOsj1M+OkGQdIOo6z2eQdneyQ8v59UY1B61EUjLFr2E+NSQZzrv+pDUBRJ7Bj+2AujzuK3o9t0Liz+LzmW03ISGvREWpRStxfmgMHtOOIi0xSMxTg814wPhrox110d4ZnfLxutuyOEoIApORazr3jW6n/2tL4uFSYk5l2aI84OgJRVWGR23Aimyaze6lum+GZoGQgzBAUJeDFbdVsVtD/jTN3QnKvAm3tTS7vHsTljq7xan6rwoc8EBBXN0gZrzpF2Mqw+iaE4lBSgzzlJDweG05hMQwIQdwpUN6TQxm+g+mGuxWRyOUyVwHE3gwNUb2pNzhklYIBEnCtavDRx6TPfu2BCYQ354Ysis0auAt5lI4sxXhvBwyfEaDbv0H5PUSvNF6Nq85pETXZha8O9rhb4y8iGa0JbbyVWnIQ9sVfYqqU+tqNtwJ5HZ9S2kBMkNp34aQaTuMXC8mTzBz6g8bmXIysaW/MYv0l6cSGPB8qdj2vKfv1Ro5z6QihvUktJ7DBW2R4ZJJ9cxzVvWmWklULNBZKMzVyFgYKR0PglDJ3UTQkLynGmPqORsmSW7dzPoUsV60MHQyA1krm30zYarl5Qu7s/dPmejHWaAL+WzT/qYRxALcU3OBwjOFAue9iKLoHYtDcQHXXjejvBbucdoADJDQygNfmkojvt782iyn+Hpcfe53IJpDqqzRuvcArPSabG/QpXZkEcH8U02CsPtDGhkR2dW4/KX6CpnDTlOmF/CP9ymiNz4o0SA5uN4caXnLUbq7+7rGjPi4R+Y6rY7LsD+BuJ3Z16YsMVifv4gAK08plsBicyA/W6kVl3ffUP/knNYP9G0q/4/DPY+8L5Tq/+ytWnogcK1nObOy50HV4JdQbX9KPow7HpF4Kpprc+khk0mxWj4UkbIiuhod9M7bMgCUI/gZdAPGM3hbSPXGvYrTi3vCscpcBD9t8D9p21F7jbW+wm2gFg9jgqoV3XeVJNyks6jc6GY49hqyk+kTl5rNk67RNRLYQ93pNmnDKFaQzw0ODvBNFT47ljaSQajkmrJqGEn4O6e15OoMnS+zTZnpLcVZc2PSmb2ML86ZJeTI8ePun5n0m6eDvagzbT6u49DI+9+6xa2aAs4TJwF65jKJ6RNKw0yFRh+JpJKKZiKq864cxfq8jU9Yfuhk+HV8M5RyTYaNdIW+SLbJhgLtHn2pQUutfC2FjpWRMVnHV72+ak4Y+adFF6pR7YBbTDdOXv7zRLzUUAjkEEinQK1Uo2D3Q0Q2VOjDIvIhQymnt4QdQKO4my6Y9QGA5A1crEzudi1PJY+prTzJZrUEE67W635Fk988/EA7po0RUWtOR1KOo9qAMyyPUERhHCj2iyRVwg4P6M4G3BwUxMwbDDmWUVYOjsxneRUFXZjBpbM+bSFXbJbTRmKkZ9Lt6tjWxx30Xriayq5tTOW/YFaGicCBYeAku+FGtt4EVbTqvPp9UnBTT5lWiBDyxBYUI1oTC1Q2EtLRpFbCIsbU8fHgIELv0KQanutvFYFlOk5du4PAa+NtpIM6Bo7G5GGONfafuM8VJY2MUZC91j48HO85iP166urvHgJ7MR4C1kBmCcuIke79vJeeOFRQy1e4o5wny+j4BMyzcRmslO4B5PuF2EZ5vKGA3J1JwMxZQSByZ/b1bwCFEF4cW5K02jK4p0YGAuGoMWK+DzEtQ2ml1Gayt/nO/Bt3q8IzVp3tgo67yjMrfP7oR5Z/+gAdPAMOPGYWnONLmhBKwJYP5ol2/TViRK8P/jtpdmwLx4B4rXM5ldyZccs5M/vwtd6Bpsd2xf70iSuAGmMU/m5ysXeI3klVX8uZhzC+HkrX4Hl7I8Y305p9JXiAffnE0cu/1Erkz/fbVVPGmnIP3PbgFVBCm12g5wUUUVHiyHkjK1rZXvUf448JS4pSNijFKFe7n3e6OAdQXzIMd4jLgJhqUlPdCbPbly8NAzzPOcmnoypQ3smTfXbUpHWjpJnW+0Qfk1lA1PwytQYsIa7sR791Y9QjMGjv8tDCDesdacit95nwY2pxyUnCZ5MHJywV5LhI16fnxp3yd1HMabekcBNZfNLjK1rIyl89KATttUxyGhpMbpLxbNHhTncTTFq6w+xftsE/n931mpyOnRWDQjgs1OEGha7zvLX3s8JoSkDXB6iVeIFmu7LzWsZZ4NuEG0683yCPGLmQHcZdTykseEth7TEh0k00KOeiNyg32A4KYotWmWIVvVsAvLlwDsLbvWBGz0mSZkCQe0JVJqebx9nL4c6pFT3mq9vCLH9DyV1P4fc0Yh4gljeCI/S5SkAt/nJdu7nQhcwnk9/vC0n5xtGY1NF/PSwscRwaMFTyAzQwHo+ALG4g9Mw2WQA7zO6ntcF5o6+6KKSWRS8UWsxwYXYrirQUJXn64D0PtHEkW9AgUO/lZiAwGC6nWL50IbFw0QVIoziLr7wObUHqGVVhLrmX9vFPxIU+eLtpp37OzqRB/uUzlju3PK0q8wwJZFa4ctrr5Xq9qQdJkw1iT5kPjDQLERZV1kdA7IjrAk6xMNTr50AdV5TF422vjR4IVMlxOF6sqf3Anj2HPabXOlyvbxdl3cPTo1Bg2PGXvXyXKfCuY/q5R2S64EnNwwPGR//dQwKF6tIR74kmU398JAujXSOcppTrlJc/0NankRq++eBIqiZu0MIVMsmRkCT62IPQ0MzjMyHGvGI2wZBw8hENAXtlEA1PlLyzeSL1nOe8IwgD9E9ijJHEIjywRne+LYrjXQgISYWvXDup/9X0O60/pIOUNAHM37CBRwf1IvbLvkBgv3Ot9+FrB0YPl2NwJ3/XCXvJ4NKlub6zjs9LtBW81TCskYcJ4cWA1CTXlG6pQw2Vc8ZFYTKOealTFdV/6e22zLH4UxHP1gfWYkbH37RWK+KiQb09p5a7cw7nMjL2KhI1wb/zCzRStJnqvO1hV75i/ZYsIhl8tz+r/CXoLx5n8MEzx8AKh4XY5QehZChN67fyzJItgwG43/BJhbQY48gxV+ug4u1cp1CdRpEP3JdpDxhN1Ytnz/o2LBtv42/IINygHW7SbRGBeGeGKUNvkUcVd8eh7iP20pou5XMoSSYFNpD6GTVkXLnFCCezosqLTEGkj62s30cF7U7b0Aqd2y/epw4U9BdayNikrLnA5BL85KiXGKdk5KGEukhbQmIDfseBvMxavZ4R4rYKqq/mQGfGBpsxZC7KKCHhmONMTb4/fzRWT/3ybJx0d2BjkVPEk4ns2gXtj2JY8EG2/Gd1TJs1HkUIxLpMBUs8WuA7O3YOHAGVdrScVdZ1QPBuqTgEZRa43qG0TKzoINHxlVZq6DfE16KDwHk4bRrsDVynYuDvODvQkJes6kLraakZ2Rn3VyEn65Z7Fg5Ohp+TD2xi5OanRGYnjuNWrKAHqLOa7FL68T45/bN0vpb9kpQ1PRF83Fc+HVvtqAVoip6YR3VBFBRYTTsEtHgvWg+fBoErQolPK5iZ/6vcHfuREIQoc6SFUbhe9zcyalM+2RBJBXlN/PlzFrAb3SHUuh+F1S/0NWbo6fLWDwHMLNk+8yHWhSBJLt27HFnZk0AsegYUa0znC77U77RBqR6OmUQDs2txHk9K0uR4d9zAErxyPNRt0gjJJB2qgjMHBdtMrsFJHOGFH+g9MoDyIkpnpMWRg5BacL3B2K2wJhvFyc/rtwfoSlGwRsV9SyBtNh9Ov8qkPQoakB3Yz/6WRlz8107LQ+a3PZRV30GC5cR/L736yBlhsG6naNyqncaBsvkir27tYA3vpnYlqb4Yl10klvkCBBa1dsxYlq3HuS9yToSyzDC/50wscXQ+b/J9/RujvMnSD7rdWkzDhybUJkKJc7V4auZAvOqQGfdeVE4+ivf0fMjxNyhm7X2MWp5FJTGMFIXtvpZrrUXU7xYdKcy8Pk3/KBU1I2TkrnW0RKmtQqH2fXsYduNnmPGqygYpRyy3yEjHoBpdqyhZ993ta1RnsbSrDlHBWbmGCklkZUhka9ZpassoElLLMkZLPpV1rvEW8f/dMvQkpHIFZ68ZzpRgrXh8gmbakRlg59UV81MU+GT6LDhUl120/nYeJWlrjSxAhaNEy5cB4HwEvO++bYP1tfUbWyJFdFSa85gaT9MMuEDifTZT8LN8SS9kKLZuz3y0Q9Wd4wsmO/oPcocaV00nxxH3UmRJDFa5+m5H+tTz2sqhFHM5fP2UeEiP73VDVrqKN7qMdskyiTRS9ep4AFuuyJyREEejShVqIvnxRlUt+wK4CXKGxAK1PT3MMe7+50YGYalOaNeMoPvNHlTVVGadh7x2AQa3Kss3bBZ3jSIQV7OesIu4v2YaMpbWiYPndZf+k12iICA5gWmH3dXta/4H8aITlX6SrvQ8bzwT7JddyTBeWFCv4xJSzkapFrUFsTmvTNo2pYLIcz8enafCw7zyNcR38z83UFMxzb85bZs52ghflRRCcgHS4XuNKRRhe5sgs7FsMVB5VabQ7+B9Qv/m2mhVIj1E4efunU9O620hMrjuSGItXTs8fCujt7ylMxQaUQFfjMMuhWcndflVSVIGCrXfArjIu/nAAfaeH55bYvLq04jnFl2T7lnf0KmNGUeeXKn0ABH/GbZQZbbdSPRqTqbQY+csy6CXjL4OvK0rPmlp7BOAY1eMtQooM48gCuYgahzdDJSFYu404lkcurfeElU5vqWig9o1tXxSsoPVPd9VHuMg7WwA+5K2mz08aM+1jYrdLlGhh9Y9733Ge6Dxc6JytEXcXqAM8PcahnTv6LXxKkVTf05+vN0ermIJLB4YPUiR0BRuWFToMb0ct8sqBdYhFmNEk7gqb5Dk7RqsVYU1V1+mzgV3pTlK8KBCMSCn4iC0w3rP2ic7Vpq/djq2n89qhbd+5u3GlZuPCylyh0FhQUNcZ89cUfg3I+vCB9q1xJO8p80Z1tAiRxlivG6hg59YL4O1L4WYop/2BPwDKgL84QGT/QOpclYwN2f4W2nwj4DGcto1JInBxMQgGgtM96uMC4xKGbnqiHhbOY4zCCSXZi+K2LSv8rYDj9Um6b6x1FPPPFeWhhM87Z5U1p7XJmKBFGF+h13WfGPIARpQBR0HBG+u3+ZSkCtbKiwRnhsO9AENlp2qScQQza5nGoc5zRaqqb+oE5ZbHWvHKfjngwSaZt1ayIcVd0lqHV5gPMhrIqMktbE+O6Cp6RJ17mWiy7E225Cc5Ysegjtsmqu3NRQJdqOe6tvd80lyKQjSyZLgm8L2uWT/LiY6ZMQ610GK81vspGarvM8yJ6fcqmpimujclsG/jGWYRA0pL2gXQeimk8xrZ5Zat3KHMRWPg3ZMlL9pDyqWiqsh36V62lKAWBZvQRkcCM+lvver59v2BWerJYSVWWaSp2+dUV7kwLbzeA7zizFHMSOQ00feRCwl1vASb1lcUfFxL6/F0kyVduPrSBnQv1ifTxIKGl8p/+ipzhPBaRQ2LBBtLoILskwXzp4LuHM+jFB42+aiYHrNvR61ElogBGwUbh+YkkIShdx52gCsv/IC3gIg+25ln6Nqj+Yl+YYm1sRlLgqxz7AAKGgG8a5H7U5GWzkwABM2/lArJEEsLQJyLwG3esxY967E8Yr2rvl4IlKFC5+A5jZB0EDawI+P0Yd1OGRQbbY1dIDhPrIu4CnSHFDJEdSZCpxhieMhL2rvbdxa3WVzgXH5TXCj7/ZfCglH1TJzAyni8toWQ7CIqk//xdzBSUAVZxmdoKl+Rmupon2F0gw20Yk62yIU9l5QWiF3beVVKdbVQMiwHNVgGTjneRGl1Y7x0dB56UlEBeDWgOz86EzbGBhsMNnSdNIrcniQJhLiDgx8IELVaMP33oB5UVs2HA1ZRCyCiNtbRXB49K/5/R38ldJgnGANPKoItl2GhggKShQ+b2PXgwQ3zhROcq9zTdQLeMwjzIoLjV1itlZEcU4OmZ1IXyRBehyBo8bo/bu7D2WB1hmLcUyrlGdR87OwA+hmtnoUFxIf9uYi4mFxLQM5mI2ybFgx+QvYs7fSRY8u30dBSrwvGSUGHfVJBEOJlL+mTlT3eaWftpWFSvmIOE8KDSj+EOc4+KPGv1fRutMp4X1BWdeIgf+sQfzd2WcLrimNr3eq/NmUxb148Q9KlvpOLEN5WVi6yOaL058YZVS+BD395pzSCCNEyfVDkPbYIszg2GCpNkdGXRBHtUzcKv17GiEfJBhDvNy5Uyrb/fIMGsOL28AolHRlNN+K0tl87Tr0p1iNAUDqESBXsjWSWvGz/Ji6kLvo4NI4MLYdtuF3pXr6QlmP5cOzmaOISK9RXkCQYBmHzw2+mqCN4LHt9XVuyTPDzCIuE6UO78e7VO/X3aRlRpmG97p2cMmzYYd23uQ2Eo/QWR7VX3aIsYTCOtLt4rLoHT2sYchZLXQKHgaBMMM/pgl9/rLz1nVzHH6be6XtJY2gBNZT1BU/v1RsAWpjan9hc6XX0XZ5seNdZLuRf8mh8li7BoNWW53eLdgqrDsHWQoefCPyGjHyy5s6Ex8Kqpya1BrOa2oFEuO89cAlRXojrBsGSXtScoQ/HSiG9oNfczbChaWmphJauy8dA1/9X3vvKxfDRXbzqjbh6bz222H/F2DCVT6hsTcdwogTqqrlgXJiG9C1TQ1pbybfjQ6zfUbttsf2SkZn9PsUFJWn+RcsEL7MAViSov81WgcYgN7etEHcrlfAjf3rZIhcyQGBqdACa/S8UO7btAYFvLn5OJaYCWmMMZ/nZEm7DbyJehijXUUJKMDSzFFj+HwPR/dP2YiDI9wV6M4pAVmQn7T7yIZ1kG61xLnFAWRZ/V5BpZ4lbga6S9rnbMlbK4rjHkPtCOyPDWPAG9ng03pspk+0FuKoICd40kC89R4+9xKe6i8veFCZWNyuBY7CURNET3/zTd5J+5WspcxRNy9Qf8zWJ0jZ3Cx4W93Dpw4UUL2oKa90hUW9krpGiTzej69Sg9rybAeK4dViPNHd+gg0QUcJHD8PgQGaszOUFJm6uYnhUo80RcHHfGMv2Yy6sQ+wiKccm4zdqf4P0/S2bmjhQFBakn2CqqOcF6+ymGYuVW0bZb2WL/z6QXQLaoaxa8/4mtfNSSr7n/TjFImnm2CTYRc44JdijwGduGwtMWOxyAF18+wOoyGgyA7HVmAcFfj7BK1UVtW3AImaL1ZoZle1P8e1ETkte3UKkqhAxqbwKE9Tt8oYGA8Iz15WypvPSxjhoRGF432+hlWhSNo6zMtkYslCXVPsHRrRzvdq2WhTD4DySMo2coW8iVJigi9MjInYNdb2gRgp9vgkei+7uS4RPrG7StzCY9ZsuO7gf/eysN2h9hJpo1aTx+R3T+ja72mpvZkgXMJNxMj2UrC/P3OkxGba8WiENhSeDIat93NFF+dyHJwbEM79Niq9z+XMWmQy9DsEQuuoB9dNx+9RbnocFLYqFigL9GU0i2EfZY4N05PTAUCyTQqotzM7Ceds6lsQYbD9/0sNMpTPheOjRZnhUOTP7TkZJTbVgxzRJIBNblvxyrMkddi6Zm/DG/PP4WtDBnv3EZqDI4Hhvm7XSGu0y3F8FZbN1bPVu4YR4jXWCS7Fsag+e/aIc3oGcs7tuir05JV4pJDUycEYRJLf0SGHH3JhrCgZaoQKcUv7yJ93v3YvypTzvFDVRL0FpiJIlNjjE5tbKrB0pZbG13qXuVYefY33vO14hCjHde8Ng9GAiZxo8U6cj8txMeYMH2PRjuQEkMY1IT2Q/vb8Le0v1vc28qJIkDVNVgJOyPL/G1Pf8+HwT1Aaah6l7LQUYy4WVpJah+JG9OecBduGZ5fWOJMlSpRWHqcPgxMuno2DAMhKfprfiwu/70RPUZo0CeHfSbjlmdfgyA3qXRWw6YIP0CLGonl7MBvs47n6TIvPc1wD799JYmb/DCDFberGQBe2MYgKeVNgq6JJ+ccH3BDe8s7hA8SkvJwBERcB9kLowFwNMXGc0webdr34PTvRznzzpy4JMWO/W0FLjW/qG/RpHlQlMB4jYEIo5Vte6cQEvHSavAK8+W8SsOw8HqZ/J+qG136LYHTZoM81FLjpzFk8OyH8FvgZ9ryn8+QvdRNchk4IoMZuPyfrZ2LcCiKuV9zs9ppL4ox/8fCkwFm96oci2U7M8unqaoBDSu5+QoAWNWqOmhrxXSk1hgZDh0F2R5I+VLRhQgSO3AEARs+f9fW3jnr8vOi+aYGJsQCHqR3rsZv9DlUy1drQ2jk2PUjg+GSurZaP337U7hDvUMBFvGN8Pp7i5mAJSVDPD49c4QVh6TYNwxO+EaGdqKGKtk9KBF0V+V8Vwfx9rdpHc7/fa9aMgkmRxqEuEVgD+Yzfa3qPd4FofiiApcrRisJV4Bl4N64K7gvzmfrnLTloziYJBejc9AwZIs0/epG84grYN4zCmFQGc1RIEBDHkcDhY5Vdc74RIynAluTKbhrSZ6JOpXK6nI/ohLryXJYWLNXV7f0OKYP8oKmFxNpkFNFuTI5tiwxkiXe4XbXROm0WnIz+HQeD+sNAHRYk3YHHe32GoV6qaMvN+cjMgXwLRcoFB8G4vXL+mSuDUQPMqKyEuC7VwaAZBwWfJI/UmTmZvencKucY0YNbn6qphXIMYTJpwMnonkE4CQVGaWmd1BwlkOcSncm4HC6aXlZ2deDB6M4EUJ3MUhdZespPXxvDYaWvtwhuFPut89PrezO3vxQoUL88HVRr2LekPGG29tXRsNUNTIB7f4u5uZ4b2Xx9seYWI2cML/+Auw13XccYDjJwkAvndjBrE1LpGKmrftdDbWeIxIn9GRbesvilNVSiJTiEI9qK1CN/dGq9hAUS3j9hAV4qRGbadvAWuPjRfGLorQYy19zloOA1egfvY2zGxTg+uiIq33keMGJNHF16+1DNgBqwKuGCORMSR+zKSswIQwnKB9WoyWVe5h9l7q+DW9dQQxT8jGt8hAxZobsCCiqNH15ZMKzOaMcSpaXbEBxfwTOJVyfhwsC/dovtiUFkjO5Ly4ttaGQdRJ/u70kfcgfihtAiUFMAMMMBqkJJQQAs34gJmODJN9WjnvI8hjjW3iG2OFk7lOLdByDEBA1ZeYxkakFs8zHCrQC1NgVudOsvKSYJPLfjkvxOOAHP6+X/fN56BLlLmdbf9oi4McEIE7qFy+olGJq9O4pxF7VI0zO+O9oRWr36bcTqV+YCE753gn7YnKKWdY3SlnjpC9pALEQeqHSvHmAZa8ygE53n+nGNmikLeo+TkpyA3PAoVSEUx6YubKJsj3WGRG6oHrVHe4Nn39Y9pDjfV8OloIg7yPbiZywIqUjhVid5hmOErCxJK8vLDgP0VgIyi6+DY8zOWV8ME3R4Ntz7EKnR4ne0qfCva83vrkrERO/84lFXYr7KrtxLmpczX3id+2FwL+JBi+4b17opGapPbpwU1YYwmMrloiU7XPK2NuBpBPwoUTl9qdjlMmwc+zG8LC5JxcHw9RPi8JYj4IX22yMat8q5mLtdYLZQve0dG5CGkrDXv/YE+UpjFm9qoYwl95hJHZjl/nzGFpAy74VzVU0LLt3WLL9bRmSC3MUvSD9Pi5swjFkzDJgd8S42rtbYYyOGu7nSRZBfMjiXS+axELE5K2i2fa8idPd18WE2tntoZYVBdidaqjJ+zYdMfuG2k4fGbZ1//9AQJyWKOL/++JLUmAuQyZORkVGQwyG5u+SSp44ZkncM+ibvPFFsOVlJfh5hPrb9uf+MZr89FtexBXPhw/stR17FBojmm30P/VP+OrAV3ozn2PsiuRJSagOXO0eGXiUdGR7AdUKpnXFq4zyYwf3v0Q8AKB+EYvDFpoj1n4n1zRmW1xIxaguHX6ZpPEQaDdYaSBzrEG0/FMrHpYSFkdsFSfcNp6mh1cxrnLxujIDtQeCzSi2s9PDdipkiuHxQVeO4wqb7rB8oc/HCBGCBDJlq2CZEDpG5Xz+5W9OE378/+GYPACDDYHIXIC8kAckkhu9sAGXlBdEvAtY9Izxyii3J7trRM6YKUuX14ZbjcHX9AgXke4lszGKS0UjUJ+WkjlK0YFL8F/UWfDoFmf6y/7l+vOLMWzBWTboQF1vK53FLgjPbssdTJ4KSKvYIZwovNyGgzhhlwMk5Iij5toFhAV0CigCG6RYJllxGx4pGeQ4tz2bNS+1ha2t4vxj2S+sXwoBkn2pWR7EpENarqI3/5dSj7FLnGj1+5ZRs9OcyECsHpCKGI954K4jp7+8P2G2My9FZgeVB2Yvvo2FqLXkErcbt2xrjwFTrzpXWkqf14S1ttYtAVDioqC960j2qTgzckiPysr2o+zRnqVsIBL3I3T1albmtlVIvE31vxFRiUz5HYGSmVjKi3Yl7YdCArh3xilNK598BIHU4xSZP4W0SeGLTGica5F2a52BGPwNE9i4SnZFNQcFEeQLg7bV609I80Koe+PdjZmZU5ff7Owecg9XrTWpLW5JNqe0tVr1CXPggTvx5qIrzEBEeGCGt1lPTDmF5RtlLOyUtlgkG8jBk70K4OyQ3sxq3ayh36AFi6I/ZVwMcddMKLrY4rClt0sifcXCKhzEQn+muiBEHKBN7pGPxFU7cCjfVDH93txIxnPygbI1skd+qdo5+56EGLaQK5OHd7/fmhslkxJJaiDDlzqGTbeJwwhMq+RWXYkLqDPH7cDs0OBxhIKNWL8ELP2Kxa1WeYza+kAiKpuS3aZ8mgtuOfBp651p4I6b8LZdsU1yLNv49Atjr7XbY3zEpOHqtc9NfBxMWGwcXyuqwhBitJABGMy0qhFFcwznAxXjtA0ondWl8pZ5DES5CfswqFdUejFU8gv1s1Ae7GgaSYtNHuISys76c4D80TNiYvg5XbDbbPkUaecBaeXn06lplQMLDkmvurjj+qBAiaa6gObH4RxrkUgt/L3/Yj5V0+KjgiLPzbdvzyBTXrA4gd8Uv/tEqlhUlCXwicPLxLYTOrknEZEE13vMV1hYIGmencIfn1YYkarXjB3lmaFDP7IdzOdq88MxXM63K6maFfiVXlLKN4tw3JnpRs3+FBDhojWPWuBaAvXcq1pQOUa/su0qFvCk9jJTmcQ2mZ1qnTKvT02uSYzxBk3PkVvRBGGMU+kuU3areYrmJ8GR9Ec3TJxKiHKejQTmWz+n9nR0XeMjXaNtoCQZ2jUXUnya4Fh5dKqdQCp0HIx9NXJ1LluggKhjelbxJPspJ38vOLaPwEDS4e4CoCPUORdB7keTW8B7qB8bmuZ21ASstBcc5OMo6tIidvFp5EFKCCwBJH/htPqO2h5lGSyPZyRbSZc1NPXUuh7/ooN6bE7O/dG4tGDl8a3nx+G8Osl4xjxh5h1IqvwkrsJKLkO1enIgFDy6mmmRMhFbj1hIoFh7etA9T8Yt67fxDW/1ROA26sSUaZFEm8MWfLs4DckoNUAvnXV6e6tPKRKPWloZHHnlVPImGjDdNLPwxENPzeFug3MF2mhZur6x3nmKFdn5kybIBJU+cCtprnj3sEfCC0aYulFEORJjzEJclHuilupgeZN0On8480WSKc1B9QrgUEW6rhGHRcXOu9K3pgmh0by6UxnUlZa1bYjgrfVuK8HO6n6ApeeyMqfqu5eWOJRYzx6G0sMYOeYzJqc1EMwGalICb8oUhNphtGrNr9dbbsOQtzP/Cj7jfWITOtVX4z1Go0o8JP2vntUnpBeVSxj0oukhVVaK49F9mG5gO6Gv/2p6arBUIeHl2D6CPa2imojouMvAElfIdVrCBWivTj9hhFEwonDK5RnOK77D8GxgSNtbkQmmaEdbCvyQ2GN8PZ8y04SO0l4FNmlEVwLcJQtD5jIpqmSVdDWgApzW0xONNaFCLE3lI7D5ogtEW1XO0BB55VkBsZaUq7sgId7qPHyscLUm+lvmYW6DjMKUIrjqJE8B2Ywxgvag0Yz1Hw62I76xYzCTZ7G3KNBRH3ceUhVQacETZehMW6c/d6Z1rTkXm4URAHq+WmP1WAxuyAzKQ14yJzIYi/72n8QrHs14xWyOMbdn5E2NC61gRsiWl2ahB5yoo6dL4cQC8hLU0gp65noPcrZIFR4IJvmJPfLo8D6buUTeXM01p9hsaaXubZBMwHCTEfL0dLIAMUzAfXnH4/dDUp4U8DfwNReRhmLtSeigIujS/3McOgYNeSbrBtcvBOrPXMaqOKPIJl841XHKL+m83Dv/o4DNrNGbGuRvzQ9EwSb4nALjorTG9PwUZR6Dm+TEttxlcEo1nasCDFkW0kMvVkQuvEnEHPJTzcsYSW9VJdDCRlwrK9JfEUCp3eHuYTZIFEKa2JyeJVf3FBiVK6BCqSmDGtEeTYNh8jUKitH2rC2x+jheVCGfibOHcbpJAuxToQwvrPFN+w7e+5jiB9GEbRYSvqoNBm/p9Z8U6zu6AzSORhT8nNo8PxRDl0Ko1WLS/4zqNWrURvoT5hqqU7NVNH6USeqNRhRQzKbVwXPxKA5HMKVvkIVypWyTxnl/bl6+SboquuQmox/4h+8xH0hmkdj6DoR9o84D3Q56HwpFpvwNdaph9fa3Tq8m1sXlbvSY9medBu2vwLscjhQV8HURTby8PAZ4s3eyzKZQ0SpT/j4Jr+kub/gksM7TgCCttkp05noZWzuw2B97ylkN6Bl2knHEznTDmgbUELRx1qaAVFHjR3nA/UHmBjsmB/HSNqnLOiuWY8viGl3lvWqBTX/jF3r/E6PP9nJn97dNqbpb+WJrvEhzVX6FamKU+ZHVMafMB0bhNcICtO0HF3dLHTASJ0+6+lYx2ZkdUdH8mLBzk3D5Z2bXbn36d7zUZbw7/xcainApr8Vzmy0Ju0foxVke+4S23q7Noy8lhgcKqYGRDSIstt+9adU5Zs6JaeptlVPynaxmJLHJz/GLjuJe4XPAoNj1I91JFShDH4WDATeMZuFWpYDboZ95Nb2MKDgWwTNa84D/eKLiMuxFSQ6nAdLMaUG0QzJoqf/ArFHDuN8JSnnLO0ndxhYasTlFhMFlsIbAks2msGIgDaS14GQTO9ZYUb8L40LgKYDzXJSmW1ovMAQ4eH07d3S5TMYp11dDgxfZQvxQOs1t8S2ye5dasDWFge6zlhjIW5LuIdn6N8ErdgXc+ZBSCLzFq6GPDDef2EkNm+XdrCwjjjnzEdVxoxOOX8aEzlv24YYhN61eUz2pWBy2OBIZjdClwB/+UaNPC8llK1ogW/MU+rLbnTxaLMg8fzpyi2hlQ7rlsxGcMIzZK7jYJ0ArpbXXrlZ/Kf/VuNBa9aszfmpegaPEhdYe7eRlwg4maxvmd9ueEx+igfY0ifGmj4pGEtELIq+vhxQQRP9pK2pMkfVKBGbMnb1aniubU1nW+EbBSPVXwJxPxhoX2K/X5ikrdRfCmiIm41lP0JzWWdF68BBGHuBtbfSy3lkSEEHnAhKw87QzYScbthcusytn6Jt5QxL9zM/yq2IN9hMPiJy+TDAZvNOvyjQAwov5qyS2sVJbaI+s1oyswH5pfpn+50sN6Z+QjO3KMZ+5Rh5Kew8REJT5b12stvnPHl93ye2pp42mjjciqva0VY3+EbsU1Dtkw4nXqhHFieuymrp+gt/EwNahcjnBPFhphuJxrUb9h9Gex5Qumdam0nYvLk6Lg408gg14lhFhDAzWL5Gdur6J86MNjMxAE3nIbzdYWWyJb6jf30beZBMwzMyYkBpNAtf3nD/ErOkBe+HUDY2oYDimqvW7OKbDhaYCu5LDjshZ4qzb3bZ/K+y2IrOBG0lRWfgVAxf5a448OcZdYc2+spn5qV7Pjh17Fv+x4ZQdWIm7NnJgxUu2uYjg/NU/XKU44bAnvcF0uH/u6S15XPaL5YH+RkcFGP7sUWDcsuiqxCpHQOPmuGAlYBop486t+Lg8/H/dDrJgk82Ql7TIpb0e0nJDaoUaErD02fw+tvBmRnFk3piTmbxwWw/JdebLEuPhC9ZsgxduHj0iVGbRkWTkxiquvNBGXUVpStmX41HDnKDWtP4+kvo+sYYRAxH/4IIlDjH7u2Z2Nm3ATeO+gvSepLpK1LvECzoTQegs/tmZO9IM9NzTIgmXgON4gjd4ktnBUw8K3b8LuWHEic9lGqpvv/+YL9fxP8XzGBgaWRnr2jjZWevQXs/wIBWFPVDQplbmRzdHJlYW0KZW5kb2JqCjE3MSAwIG9iago8PAovTGVuZ3RoIDEzNTE4Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9MZW5ndGgxIDE0MjIKL0xlbmd0aDIgMTI2MzAKL0xlbmd0aDMgNTMyCj4+CnN0cmVhbQ0KeNrttFN05d3WuBlWbHtHFVRs27ad7Nh2KqjYtm3bTsV2KqhUbLtzzul+6xvnP76rvuvR+3ezn7nWXOuZS+TEYna2zioe9kBGWkY6Bi6AhKq0nKziNzkLGyMXJyU7Gzk7ThlaJaCZC+CzmRWBnFzYEWjobGFnK2LoDOQCcNBz0DOwIZADhO3sPRwtzMydAWVMDAzMAEF7e2vgZ9TG3sUZ6EgDkLQ1pgMY2poALJydANYWxkBbJztHJxqAobU14N95TgBHoBPQ0RVoQofAyAgwsTB2BhgBzSxsEej/pShpa2oH4PxP2MTF/v9pcgU6On3KACj/ZUf1OYShiZ2ttQfABGj6medibS1naAMEUP6nHMBnPYa2gM+SADKAf9Vkbej4f+QY2lhYe/xvWf/dWx3475IplW0N7ZXN7Zz/u93CSczCHWiiYOFsbA4wNbR2Av4nrmprAnS0trAFKtg5WfxrNQG0jAwM/9WmYm5hbGULdHICsP6nCfi5fP9l+7ky/3al/9/37d8dFQwt/rPNAIa/mf9mxr8sa+jsaOEO0GagY2BgZAD8+/vnr+5/TS1qa2xnYmFrBmBiZQMYOjoaenz2YvwkVoAXI8Diswh3AND9s2x6Ols7588UwOdJ8AGY2jki/Gv/GAH0gv+K/BuYAPTC/wAzgF70H2AB0Iv9A6wAesl/gA1AL/sPsAPoFf4BDgC9yj/ACaA3/Ac+K6E3+kufDsZ/6VPC5C99WgD/0qeG6V/69DD7S58i5n/p08TiL32qWP2lTxfrvzV/utj8pU8X27/06WL3lz5d7P/Sp4vDX/p0cfxLny5Of+nTxfkvfbq4/KVPF9e/S/7p4vaXPl08/tKni+nfkpg/Zexs/y4N86eOs9tfWeZPIWdzR+D/6PEpZWrn8teSmf1fI7r+jx6fak6fB+8f/pSztfgfk7B8+nkCHf/OwvKpaA90tLD7u2Msn57GdjY2f3eb5VPVydrQ6e/usHzKmnvYmwP/LjXLp6+Di93nG/Xvm/yv8P95xYSE7NwBXrSMbBwAWiYOxs9z9HlZOZlYfP63O6Hs/PnUGTqa/BP4bIY1dnF0BNo6//sJ+7zKCP83m1p8PpRAoDvQGGF1yc6YO8gyNSPNuRYrZ3hCRKNDpi2bDdqexj2A1Kz8MVYzOMb4iQnKBNZqcY1YPAwtU5IQrMDrJtiOyuRwKXYhKsdaSq+fVPURldXJnyxw2yo5/FBaH1AWkPtH3cSFFTOlItI2V4BVR1XoOmW5oIayIuEYymF70aYH5OFn5tFLTv/2aS0CxOLdzbV0qpeKjZFzCq64zznqoBhp3/fO9XwURyNX5EEnU6bZQgs+D4dM7kHeO2ao2CLaSZlb1cp+tPu6wXayOI91NjByNX9DVWpMczouNoiegSx1PKIYbHbtC8Lvg65Ku5u3lgwNt279JfL4Ue4MiYroqk7pXYu/IpzJKrrDRBtBHX9J9YX4aP5MngTVZoKoIf6Nyd2j5bGeKwhMstIq+4LXN1O1dt/HyapOfd2UORKg05DjOKcf1S9B4OrbriySGl37R77VWXzFU2VL3L4CTTRsefF+VTZyfQqzURw/2/jYIulq6HexGJbT08IZKQi0+dlmt0SU514zTB/5c923aAoxphs+8VI86+3ZV/JAYDG0PnLoVx1OYyU+wff66thjR0WxaLRhYlfbOekWuSuM2mjrARnaMM6pX2OJlVVfdiGmXfIHGaMbVYlPar02ZDbPVK6bfZ7Kdpg97IS7Gl88Y4ceUoqj7u7t80ZWXV91bgNJxiTccOy2u3jw70/2OlAlw6T2sa20J+yCeYChhAcs3+Oyu2Se+kO0KbEcOIZoo5OJhr8oxstsoT8V716E/K5Bk0QONHyjQHxi81Z/gSN5woO412QpAvzU52wY4Pf4JbaPL5XY6H3wavkD07ZcUIz1Z7MjgoOUDYlmNcE3mxfawZJxRWM61Wnt/SPRAiXClCGF23FUnpzRxx+aT8Ja1jPXKj6z7JqbG+nYGkT6aYbub/FCZETOixjxhJtuKT+4PUv7ECNbJEGrMBTHiMvu2ZQDyOiOYOKdRO7eHu2/ZxgtyRKXZWZ9CU7pm0E/s4vEe85VsjIuGFVyUqN9CEDbpVGMYd9Cg5i9XthIRsaq1uL8gYe78DLqHZ8iuv1QSAgjcn6INnCle0Eh7+SMxq2R+FLM0/Cu/aKC25OHuR2OCeLBRNuO0v418Z11Fup9f3wX27DFX3aub2bSf2NHORu2HWmXOkAzU2ffsNpUlFXhgYgHU4YVQgt/fQwIWI3pbSD4ZWeVvuS0MhYiHfKTRNrZpA+Nn2OUuBoDTY4BfyUyZSI/vdILqYXUwGFmlBZk/FJfJxQ2lfwHt7yP03yudFqnxoRxQYM9vFzZ0Uh6F4ivGzESYvFs8oiNYEO/ZgAGH4w5EZdpq7PTrNtliZR0ln53cu6+gFOD6Pkgu/IbIirLzMgKC5mg60oX41dpMz7iK1lKofE01Xk9goKK3jC+n/w9bf2+h0seDD9iPaLX90Fqx5d/BjPsLzHVD1UlVqF4OFu66W0Rx0BpPcD9yDVVs3Gn+2P1gdCgIWeDNvJrTHmVXzRrB1U8iF5vu4F0OGE/fPe9av/yGZ0fAW8HdkpYlvGFin0ahFCEt1lyCacdVfoWyc3Pvg3eeYogairX+dbM/tIq6sY5SMQ54/KyY7/EIquoITvN5uq4v0MpSkzaU+E7tU2wxYJfzIBBVQpvvTiv9Ln7tuhUxYRNZGSesaShEwpL8TvMY9PbXcJVbHtXq7G78dZtBFXfmMkQSBuyeqBZ00D8YJq0LZ9beQCC69T306vT5XaidPfOJDwXKUpW2oi2YRYkOfXC70R4QnbfGFejb4d8Si+5375vkVRmMshob+waiObCpr2RVtPXMfGqlMPn2V73meGshWO7XHDaz0zUGTbnc/j8SAgcYXr/8YsDEoL0xwm6Ff5FtiG0gbGcRLgHq+ZtmWKNrQpf4wHFnMft76g5SMsfw7KW7D9dCU1mrYsK7A37EBNR09if0WP01s4HL/keSLRVmIvePSzmqabLmX7EOMDpXTBCoSfsVxwJiYFLKRc/cKUiDcPsmpZ8mzu/1rY1LhdznzxYMNRdL1rFacGNxzMMDvQ1HceFX0ws1Dsso8THuwzqCO3qRAocktvv91BDLD3nKYLjxSe93ikkzFo3CW7JmAkNaUky6l1yPwbLK4NGgYGfVYuNwzQzpyj32yHWZ6bhL23XbTtbPuhQig39Hj1n+aWkbo8TEgOm9PzIj9Ry1tVgEw1KqfS+ebdbbDM+d1PFO4SWdhtaU3VN9Vpwrh0EVCuOMyBb8Ct5AI6xo8tTc3jDxcvcGHCk6/s3RLVWSrwEfmvQjW/XPa9Uzk+2SDphOVghmTiuJ/QVAry/hC4gy6aBqeVekgXBTKmIotUbaPavppDEr8UgQRYav35jsLkURwYTEc55Mh6hd56zASSAufj5+smZk+e2LPknCMVtN3gPZSjszHDUK/ht7CZoS69gOS1DNFU8D2FO2wQ3iQ5f91ifyIP5BMotKT/iMvqtoPj6aqr0JL0nNlsaQY6cp2qrvgS6YdqxUkz2uPshITTpt5428ITkqZ0SnAzoY0YYVrba6PPjFEVm27zzOcI6oS3KZVbFJmiO92AHxw8mbaB9v7G2r0nSnzB1Y4AQ3eIvJ8JbEl4b6q+ZQ9I9KvpDB7u2JB6iB7YR2huyv1ax/nWMo3A5TMTpNMDfOwfcWBIg1BrctNzMnzWkRhXlvLBkVNkE1j+mrXxwPoAxV6rt02jIRzHGY9rcLTmXgM+Ke+N1aJWy+bxLVf1+FwO7DN4yyqUq3L/YjjzusRhs0dW/VZ/wcuKMj9APnqqB2UhnqMvBUQEFtRqwYfvylBAM+r4N6Tc79LOWknSdlaS4VwfinBPg83IzX30mXq08cZB9lBWXNBBIFa7beuA6j7E5lNy1MIocdzqRuRCbEcugw5DlZUAdlPwYsa3bX/71lRnBa+GQYcUHSEOn3jbOe8exRZbCkOAC3F0OlFbhBX2JvgasuGswYbLabgspmFSSoL+hSR5l5aq0NtSr1lJQ0V6ns0y8O/PfPKBPoNwzz7RXbO7eZVc5sZTOnIitMEBHdoTerzXixnRbHPM3abzn91Y6WlURW5Ps0EXw4B8Vi2PCnBPY5P7sb+q351FvZFoedBxoioCwJ4oOVuhVa2ZlIpeYOQG4E18ayOatj1i2Yxtk8EonZfS4BuN0NY+nTi1slY8HLW5YjZEiurEyw4vmUX9GkBDUckWQlqvu0Vc0CIsKsalMYXeMCkr5Mlbcm8RJLRyc+Ap7/dXFAFoCZYsuEtM42xs89RqWjkV/fgSh18EXrKlqMlareTk30P102ZHsyvXblZHipZg5SRe3/UJWPihqlwMnQv/MqQtxwskr9QYbMuVpYH3SOSMOMz7uwVz0zfgZ5Di8mnbCfvytG+c7hUcF/Posc5B2N8ByIY1nfXDLS8MT2sNAB8habQ6l8sBBVXPfZljRu1ZCkpPLvpGmzZQeJ0VR+YGjjn8ounGoZ/btGJuKYI2TqF0yKIh2GbUdViUEgKcMk1o0UvJjYlBKvPeYfs6x4seV5/Qv4TeYSp0/9YwTnlJa6Z5jkcd9gPXz7D90dd0Y/ssjDf49MkJL9V7XshPZ4c2ETLiW/JOTERqHrzhvVoWbzDJE0S/AjS+R2b2bc3Wn6DFPS+hxOYdCZwf7QzlwaC6+Sm5viBWBC9e5hXloRcmXrAR6m/mWy354JSaHwVxCd4RE51d1qIcSkZJ8OPRBkXBn/hQF65tb2kQefQIeefmLZROU5xoCHY78PZSunTHnfNd11QWmw/knVJhZiYSgo3k+HfDKKs+rduk4Xt8+xPYkiiJNWgrJ63dd1iIgq5627SL9GptUgnfbWxOeBsYE5kxWQ9ZxvzFFtldp0mB3QmtCxFMjx9HYq5prG9TBmmQyLcBq7/P75NVj4Sd8x6z0Wr8fMTeki8RB5SLLO1zdMttRo4WrjafDGEdNdeRsD8NDzFCqk9bCilPi3/hlAVdPzsBNtDPHjDW+59QGq2X2knkNc/Q7B8hMOQg/Mfyc6o3gN/1jcimZqdw/4DbYWAulr2Tn/o4/p/VtPJK1f43fTsWIFDftI2zuBAEcGzDVTGsq3Rgcs8bgaEinLAnGJWm5JxXygR5Nd/b9a6FADMelb5KnyJ56tA9ycsl2wPGXbf+Ks6vUqTYlirXJczFePhvO7UQAXWCvQBR6SohMJY0obRDbKyrCL6VaTugnoANTpoXJTp/2N/WFXJF6QyU253JNhiJxLJAqaDdIJQadirnNk2aDjEWwmlKnlWry4nvEJkU3ARGy2DD37q1FbkhqufyFONfGtWcSmyebWn+YZTr0lR8xNz6bvyRhavpruxp+NCh8heIckOL6yROK+iTOnTFlhkx+nW3qqxbTtSMOU/+WXZyWEhwuP06O7bVUVpU/kuDm6WLJJGQiA+3X9fBVPHB4g5iDbXsNz5Jboz/RqJrbHbzWegDfPS51Vr+PYaMaO+qOCtV+5xnYvA/Ci8UOOdEQMUogLMcpaOBGPnflQdII4Ep+7TAaU1gD3OTylPlghYywYAb3eWe1mc9pyWP4aOwWowoum18Jlt8y4PqmvPAYq2c+9zWpFPBUB11KOYNwPN3u8SkY8sGdYtIYHTGMa2Kr0oqyExWCxElnpwzvBcds0eCuJxuilwTt+dolGUqVmw0ntd9eMmxyEuju86kd4W4poWA+9QoHh44yTd5gj6ktLF8BrH9aW5Xpry4u+OOKlG/xEDu93BSeihF7YpI5r2Ra8y7kN0nj3pnVQYgfvJxIYRmVxRtHN78oDI+GPg1tVF0MWt0UF97BuukfSoVxYGATi1XT7z4RBtPjw9CMm/fu7VbuGhPgomkYJmN65eXPgOFP4mN7GYhr0/N8K/S9YYJXXCf1XV2TZCSWO7INywNnIqcYiWMcoBfcXNLaSly+UK4KMVhPQuImXz9Oeu/vhTai1eONHTy2OdmvZp6YiVO/Um7tiWB3EgzHlzbCJAp8OHLdgYpMrx6hSZT5iuIBU9CT9TWf4kedirz+iMs+6qplErEaQc1SPfSm/miEXtzLOAYp4rVgO1o5vlfKsTk0w8B6LrK/NHguZI2Q7gQhPz61kPabZ1zOsffIsw77uRIoqo3M/KOmjsOb+mDIvqJX9pqMvKr9aLuRLXZomggvzU9gCEfBhsifTNMijNSHUtDD88O2LrHOWQ2x04ieJJOl0DM5qUYtU4S6jzV+zgYHsp0zMoYsNhLL4FEwjfwdXZbAmdxylgl3o0wZ42lI5NnS4SXtcoZnig1ZGFlSDX/VI/Ob1aIfs+nYocN2ZOGXj1WJO2zfhibGbvNSj63nPhAQNE4HYvqPaixpUQpoGFppE4QW4VjYiSZ4Pph5yvxMK0kInsHfa1pZzga6zZ/dAt1M/WI8OPZ8WB3SiPRN6em13bmfWbpbaky/FGmhuuOpE8jjgNUh0iJ4XPnROmdxemu3bkw3VreCb1Wntej620EP+GzhG6ewq6mVvleKM3UGwETYL2RWLDa81cJqlpvVTPl3boD/8IiRNr+nkQgCnTrPpyUgicJ+pFGfjSZDcXCYRR47Hmu86RLStKeumCh4wH3gyfAZXiWVi3J5M5/8oO4dLhLjn59xIj2N6B5PP6BZTKpmvfMLJMuPO0MpkhZ5JrKKQNXPcRXwYxc6K+rPZe7LzWi9suQVsZr1mF5n9WDAzbb6EhMu3vzSghONUCVJyRGKSZhCjGw/6mNORTSLjbz3uPoMEXmuR+/55SakIyB2kLH9d9TYER7KnxiigrTk3BZDOK9hbEujDg3a2IIvLlxMFBW68di4BzU5bbLxkj9o6Q3/jLvNMl4pGWjtciAMDCRFPz+QMk0/3L0MkDx0tK955fI72AhG6qHyz/cGxKWhCsu/9i8rFEK9J2mBX/nBncXk4xhGG1gvl4otIH6Hz08xYqV5sIaFle2mcNMTxCoSgsZy55mYcykVB/qN5i8ASfkMV8Trmxi6xug62Y4xk/dh/9jWnYB41omR8yN2PnbKH6ye5ctBs8+dhSpvHJohJhMH5bPkiJcxN25eeHimiFOoyIwFcPPBQkg0dL4eAzQjgTG5CavFQtLANb/LLYMa7cev5mrfqvWPve3Apie276ZqV+uOT5xxBing7FemEhvZ7gX6NBwXWsfq2iWE7bCpLDNpOI1674996mXSwSHNBE6hB3zbeMzWxHU6pp1KvoiwdFz5wEHur+oYTuk5CFTZW6QuRNBVqC4RJJXudzMUAu7mP9z83KQpvilrueLBQ3jNQ8kdHJwWq65u0XugJ1zRh79P7V5mrpsdKwuUQNczZKVU733c+VNstDf2jpgew0ldv+nGFAjU/7H5vUeC/SYyh9QvbbKRWh7mHfA6ZCSJrSwf3q3QH7rnpYMIbVENUxtxNyCiWld4cdTzbF1imvQQl8cQe+FB7J8AX4Xt1CEk0Vsn1Eev0mOGFxIMVqGuu1t3k11LkNNYK13BwAC4x+cDdrv1BtciTQxjpkMrqD/gJkghWX7RdLQmX2y0HuCoBGy32vWevNpphJVco9ry5CGz+74E4oi08VA6sQIwRQi/hfiXr67mDibZC7HJJY4WXgjEyFz1mc6A6tmKZO4j4XPwspoJpy46eXt8fATpIxY2HmLvvewFc13YV1pXXn/9k/gSv5rTrQzuhDWfqBzCMVn1jJdBMtIBgRa3Fg13g5Z4Bj4YNrZ4qZZ424+EzQZLQaRMpx305ZyUHgIZpthkzMEg91YqOuVY6VIGHMyqK5sRxmdfTouw+AfUkulKN75sFzYYvDMnX0hm6pTivX9Da6TMtAffusd5gqRAmuqf+HWv1Uyx0fbq7uJEvSr3xyI7aW5hrQuVGCFiEGSLMz7+OCLnDdPHredtHrB35/dt4MAXzCnKLoLSMZ31ahr9/YsMUTpKSkFL8ZeM8Cr9cVm15+hxY1gLsPF6vA+QQyQQQjEbmnBqYbYmsQCCGumGm0oc1S1FME/aS61LvWyI7jE2vBrOZbSN03Kc7ihpiFfpx5zoihj3nElv+qD3usPpWddtyEgyHcAE1xJV2tv2IgtPRSuQBGmL2xTr9zkSyfKwrg5d0eHjxBfLZMKzOTZHAtGXtQAebdW1heg1vaBhKirgopbd2lZMZLGhJffa7bmZI3kU0fSmL8rRfIL+0ySRT9HsO1XYe0Tk7PgyxT4v7ym7yJwEIeEufKZcinQY9Wx4Ujo1eAKy0TZdXA8HbCfpN/I4xDwVEZ3O5qXlIDBGn8KWqAem2Iv+1z9PP/WDj6LAPtD0qOTJpDOG1DTjVRPwavK9goDmCdpN1kC22cBZMnfKNVGfSs3cCfhCDBb1y1/cunbjXJb5pxwsG6CVW/CwmCkoPi5c1n64XHvW9JyQk+9XXVLh+S8cfPMYt1d9infFCPjb07/Alk/gSlay53ZOOUyQkOblyqwBECjnMbDGyRrJOFX+WP6iMeBTWj6yuiLsxJMSdJaoNXQuLEe6go1TQyLXdLeQVLkwG5BigwIar+HEK0rpyTSaE7VedUAxRaZVbvYKypXbQPD1XHBrb73X8LqN+Qjr0SJYTkJspncp5F1e/1gBqFAPGirXjXTXyqsBrpd0Dgohzs3ZylgNkzK1Xr7xc4WBnsmH7wt6uEve67hEKO5hQRomUWIVgvD4kMJ83NrmAMxcUF5oOO1vOzl4+GXrVW/7bfYWyjuxiHznXzOCT8iTIVlpHXvcZgCHKjRBfmU0Dtm/gRpc8ZEy6cF6DfYWoPG9vyac1LqsRwYJ+WEmABXo1ypkP4FfqMz9FtsyX8kDzRWyuISPTdAt6UtLyxSIo6rFFjdlxb4ozCcYbHjwZhavrCjHPI3t4uffpF9ffPXaf62th6mNBUnBLsy0nKYwK2F3Jead/AiRcnGQn8/rJiAXLu9jZxaYP8WL7sQcKnisjiB1y5FaO8D9oQFaJr3hc9FOP6nRqjjldy5uy09JKxcJl6z37En8RLZVviNI5hicS3HX8vbrDTlQOXOwKSNnvOLyqApvraAUo4Uz9I9kappeJByhlLsI6Vct/dD7lKxESJxDk3eLmPEbBM/cxbfCvsmSD5g1DMergmAjm9h2xoddpSF7Km5QuMTiezLpC4GITvtTJtvniYNXYa2jzlbbgfmdVf+LTnzUOxVLCJQqK2gEiH6LWRO/L7QFXUFWYy1lbSjlMc6vsUr7z9iEKcL4mzBp1c6clbCzcke44zPMN79Lrnoz48HdhINJdJA4KQ4dNFNU77A3MUnFPjLwQpQQ+k/0z+HNe9p6g7MYOYX+BMBk6HRapRFkISv00EebJZVbTFfr4K+NCpTBRX251ihvOyBC9moLKf1Sfr9i6+FDgywYsM4gyopbZvXyYEFq8JMy3c/gkcLnUA0ntRU8Td5Fy9bf1Y+ZgJfvjrHCGezdRygCejXg0DoE6GVb4oxfzYvUzGUWiLvwbkvfUkXrpkatJZexzz28GS7E5WbqMO+u1YWiqSHiizEwW1aWK1hrddjxqgelcCcVV4uU6sbVcyIUMDvL54s/wXu4j2wHTvQKplsppC0PR6ZQ1+5EyyUaMqJQ6PF7Pvh6SrnJ/G7c5+n3FPq2OZDBsCsY4heig5I+XJh7hGnXLrdPfe0GUg1y5/z4eHnKT6hDKltAFuABt2scDZYFRAKrNbgELgjWNfladYtBwvxr/nLkUcECdwA/7FdqSIGueGn8K4evpvbRKBQemtB0aFTEjbjsZ2aFDU18kgh0Hya+GZBLbbLmy6c8LlrN4SnYtmxLvV0/f2rQzIdfKyxbWJiln9UiuOwRFalf4DLhk4vmH5b+oJfiG+KhYgqqE3sXrxecIWQ7uWAmhErP9RkofsWLt9UgUMk9/pV1YSMV5CGFPvCmsLzRnOSlT7xRoghfANWKk2l1EP30fH8I0mmffPqtjBNa0SDRmFE3g/qA2AI01LSKBD64CVa++rrfQ0mRPjcSVLViYJuJehVdnXe2TUj20pf5BZDFlktmpZCGFb9i8haaa9RlvRoE0bLmczSHtb9fcXWvIsGmAeqxTSksf1eJ6f/Kx5ZN6ajrkswZzZApMrTYa9j99fFdp58yocwmK7mNVEslnPLPI2pFNxwEsIV3oSnkGhIjqREEd2KVZOm9QTTaMjfUDeIryWxB3VRfn4UIshHPYSao/xd95rSklo6Rt+xYcruTR3CHLc9OXldHbp5Qv1NP2BVNEak8c+bsYYKOTsemJbN1Gwz9eVylwimZ9H4WZnFATwWjmgEhmPnxe9bT/LzMJOO+M9ZDaIARjO3k9Z+UBXqY7+1Apyi/RPSPIFyQ4JD5n+BHO3kfwsQnS4akTvvuUWQ0W23RMCkLQXb1rk8Viky4st3EYi0TYUiRVB/dq9tlTDSO6t83hF3gtbwVBlgucR2XCcDaauzG4E7BrzhEX/NSv/XpNQzMLEZaYoKQ/DgsLinLINUCf5vptQNaJBrSD/TbTYSRPc7uHXuk0YC/aaXJWuxjmmAdHKOCHYaTnEwnT0H9FIQeaYuE7L/JLlekN/vd5PUj9YQPcn2r73KeOwHRKDbzDBH2m5tr2Z78O087pAIi04OezvFRwxVlV9gE3R+VwsySkmJ7SRm1gDM/BNSZavYGoMYdqup+0SvuDaii5OG3gbCHp8KMj9nkfmWki6tDoy+PiaYJud4lD4WHadZirpiwylphnSOZKUfvyEgBmJUixFtdblhnRi4rwir4z1xMHshwDcFNt5xlxFbN7pkQdEL9HnMjZF8zXU6KXnIhz56EZVn277d+/Ijv3kcz2O5S6XB5OcL4aTdU11H8M7CS62KoQFqHWvF2lc0jiHjQu0x9zQSl05WvhDw0hNkX093Hird/R25HKFI10BJnUkC3oQ09d8SZe54tDUF7zCUXDFqYbw+CunKvGB/tx4u+LefQdItJoFd7wi02GSU6i6wVIl5gkirPTJTvlFVX5kQjY3arANspbGFm87z+jwicdHbbhMNtB3vQrwmRvl0t4tD74r2Kcm/7VSNHJ5MDqKO69ELDxFlzpUV81gLlM/O3W2qsdsEBW5bXd4nXcQ0e/r/yCi+9uMaizEha8DMdeVF+H6JDQWqoHHPI/emA4CLzRrzPytyCrNJmEIlvV5Yyb/Su7L2KiwTBO9UqAqt+axP3OItf5JJJvWAVsKZm7XM4vBR5wlVGQz7YU/C5tv92Y9hwKpcxi356fLQLGqPMRfpdZJ2ioOc4iaqimlWDjQbLsel5SKadaABU2ieLLh07C2V7Ekr6vQrs9wyFSeh4Xzc/Qx+z/2jQADd2fWYDh9UXQvGVD43jG82QIxe2fcJR7zsrVHTnas5cgCeK21You4eGUon8ZvVe4F3/1nRFuV3qA4Hnu/v78dS+bZspcriHQJkiBfjR8FdwfnSLvGk8GbdIZGHIqHz1DYBxEYJorjs1/h38BkS1rPQDq2uBIvxCAOj8iiuAOUGOQsNUi0Aqe4nKMah7JFwZrPnONSRXFRqxlAndgF9SX5FNMdqehZ3HMlnm0mUWu3S7yDqhOfH3M/gWUtMKn8vIBT1JRknukAl8NGZUET6dsepdaieGNS3xicOBWxWsLh2phc+Q9J1ZUzGS6mkGGwPHwS37PgKU4hOtyn0mj+hbqhJa4i+5lnc13fx8tfHQ3Zr0by/VCDezrMbndiBDlZzK67p6+PEo6t0uIhrrTL1b48ZEfIr8zim0Jqlw6+rYAG91nUWWnFnZQMCX8SKHTq9TJvnvw/Fbc2b2NGnTG550sxO2l3rLpHqbU2UMYJ5sMkHSW8vpesJUm6UtfGmEP8q1VAbJZU5Eyt7A1OwNhy/bAkcb58p2I/MPzCwxJTy2KJFV8SKoUzfJUA83MAupMbk880R82xddMhYoYAGvrnlRBbokxb+0eGcPc9VPGdFf2FFL6NXV5I0LvOgfNOZgY24eHJ4MAo1NIhozmkkFpilbFwZjm1CGXtb0CzOtCicYryuie0sWrigt+SxgLVYalGZ7kHyZWtQPnLNyLQJAlIhnKgwnJdVlc79ISqMTCgB91/w36gfMI62DaOcb2/y25GY3ccNxdsUx9Bglj1veFAqF/yhsDwi38jY7SDghSnjfLBWVr5oE1/p7blBKXN100LY47u/iwnGxdbAuonYMY5F1hOQ+cmIt6H13kCtdwMq34exLUSbyaRBMQU5KRntPm4pwOGjN4Y/PvOf87Y7s3Du72iHQ7XeG2quaE1swlhrttONnjLGfLSdLKtY6V/vj2W5Jynz/qMFOkqZMLt+wsiqHttafY5N9ignCbGeyb8sWrzsdmPkw1anqVT7g3Smdd6ce+9ttBJf+1ARohykajSr58/nkLgxLHV2vgf1wlOERJMtBoOdRXjZbuQzeAyAyIx2ta4xgLDBew4NzmT4szWJ42ggZdtkbqANXQEAQk+B8eY3rTcnNuCf+23RlvVMGiufswP22Ic9YJR4XYu/0aCaIXtQ9Hxgwa6hbGk7sUOG5KLEdErouQUZ36Fg1dG4u87EahLnsmCoZOtgaVakhmb7Dg7nimBeAUwPXVt1e0HaX/jDjqdzbfqom34MNppNNytvlebOC2w3+kk3FgagIsNYwJrd+sKz6ZflKpl8LXqlXhlzC2yMuwbjmuNO9H+KeGFtRYmYkft+lCgOisSKeQDWGvoHyEIixw4wGFsfbU4aqCW+3746yREeQe/hUvdU9qFUSQeWpCW27uIPD1PjAr2mEFE3xE10kQqtf7CoIPT9OA30LPB6StTxgBxWS5QUUgXpV0Lx+STDGpsSU5BClC8njmO0ypDqo0e2Jtgo9sFwQl+lWS4R99vngYn9Vd2EJ9ylJGjf+plWMRtTIXhVqy9M9PqsGmCB7hR1WcmlRd1npvzx7IJgzQ0dmgMEyb1PM6IjRWiSlC4sgIX0SMekQOZHjImtL95FUfGS3LgkEz813rJhhoFWKrikxRKEiM1xXUn6aCUgWTDeuHCf+SkpHAb0SLKaEGfmVhcEpoIQprT7NZCwdJ6RnHeeuowdxTuyjY3Dl1rX5ja36/HB3Ci74tpiePfk3ngVjT2Qs/6n3mwTFHK7fLTR6A/2h0vRA8FpO4x9dnbEiVxrehi58dSlMcQsoZ1S7ZrSur4KT/fuD9GMY1N6pr0x9POEzru2FSD8auPJz2fK/LCTIoYcyVnv7j78BYjdpKxQlOwmBFc3QKpmAO/aweJtesSj7YF2OLe71ObHLDHFhaD5EzFNYwvRgtH6P0Mz99KdnhtqLmV8MwaUu4DIbWimzoVQowehoA1mE04jVNXdI9XBUPtcDCtugtD2kk+NXUkFkuqi0DzAa/gtiD3plVJoJefrPEGe+PpG4X6nOzxCyPbXaSdSPIF4KWn7xZsyA1o/Zkk7um1g3uj+b/AiG/a3lSDud7q0Jli/XYSRUSlyMM4G6K2DQpiNPl9ZPbD9XoqaBCo2uA5HHLZAtmpGrEhaPY76mBtUoKp5tK9b0A03HX7SlNGpjYxyou9FzpGL75xvGcvtFela6HUaKOuAtMEtXklG4u13omLmFsY+F5pflMD7GgvMrXJxXxa7I78P0LfwHrc9ysmbseLvlQgaI3pDja1i7yt5tmpvB8fUCVF9LemmqnSgHnlN4zA78v/I3hy69RFC5SXg7RQ0sQSR7JEsI2Sm6kKQEXH3TEyYnYJzGt1r/3act3bKIEoiDLLeis+2tQAa/CDbEBpC/AX/0Z6q/nxL6+QBHx2iynwtT75p7oXeD8tGD+s1QgrsYLslAt0hnesmm+fvkQV7F2oJ+Foe43Vy96dX9soEAdwnafB/ySY9PvArfTOThrjRtmeQrx6ic9bTxOi4xVlKA+RvOAvjxfmjs7+z2DjwSL7WSOEIHviq5jhmihAcgOkMFTqspNUE90SPOgH2KpKeGZcYS9q54mkg7fcjYZr4AhZEBNfT5EIksntbgHR42voXdOu71HM/MIBtNL+dv8AeqbAY6uOdC7TbkMqO8jfH4iAJew5mrg8WNeQ6l0D8irCwIjgGIZXyYoh1xkKf068HYe7OnBd/DkUOLn9gfi4GVXNbOQ400Qe49a6QQItvV4B3kCBaosFEEdRjjXpOy1N8mZ0w1LuU6mmOHwfXML0gHAoxJ0KkOIc9TkIRSpaFcUNnNoZ9DQw+CWVqdDXBmGc8iEncl+QtRT0rp1SSutL6UrYzqoeLHY5gMJ1zgR8HnfovJP8R2pnIPK5YUli+X+/l74WrsXKShQtu0yf6gf3Fhj05XT9+S+8+TcwQsU4TX4/1wjsw2IzEkiVjRQ30PA5UEP8jPe535+Ckla/9lUbIyiSQFr8Daihi2HCi73JR0dhg5Xc0H31dR5WdiVGhbQpK6m3CbvdTXzkI6Iosvz17vGuvC2/EY76jXL+u4WqY7DmDeLhPwoBZPr7lzvZVA4cfkquUHNmju1v27q3k+cnhw3xYee/jYo2z1j1XsPjgFncVa93IQPxOtLpicb6xB1NesfIKgnWhxd56SpKDEUgkc+9I5FAeY/HE9UKn1Va/LHwQp877CFyqJLJWVjVcyoKV7X5qiHT1V0gdfPfjvii+19mpdJhPCE1dezkKfa5s694OV5SvPammZWyicwh9+m22o367zp19E7dIBwPMPe+EuKGDc6rFykFHN2ciMs82v9qm/Q/iyPTfZpGKF9o6mzxeLDZpflTGeyicrdcvGZZmrFrqtgnwPDPTX0AWdirk1S6wjiuJBlQDHR7oABVJgsjrFMyMJUDJHWQOCR0nOWJbj5h8pNiE3aJZwTUVxCwtT2onZb1pk1PEJZGaPzD2vh7CQoM49p13uw7XdcqG85RJPiNpOUBM3l2aJYEQ5RHlQjULtOacVoq+z0PJmqKFA21rt5bkKcEAzRR8d56JFkAgjC1L0dpx5rTJTfz73Lel/r9YirIJW34PN+CIYlWeSYCekwy5Ctghz8qHX54maEmHOV9Fz95gxT19+jiQgHSrQC1J5cfzOOFpC3L9gyVo62H3Eib9DB61NJuILzScEv+bRMt0vNKx7ixntKgf9jatMMEiZsvvxz7nDxM08ChW8NwhyrYqq0/EC7KZbdJL27D1NOGq4EcKf/qpU6Kz3mrDUJJimQ0U+iOWKta6YQp5XIgLfGMvYLxzYkrjD0QLw3De6SHCujKMc1JylO25R1ZSPI7lX1gZYf0JYt4wxIz0oQhmIq3eboiP930Y2aR40gbF4zZnbHDirECBno+Q5qIrtB728H8eY2Hfk8zlrrVy9aNhRevZnWDt9z3E/Zewif4+AYvh1dATb+zUNRXjesINGamu8UwzVbJiOKMKVGzrPSxf5vyxF6mLseCizf5Ahdyepy4DwO6dRzz6yz+A1IMSn1cmKdA94ixG1G+OMSUw2lQfpaotDwhsQ2RqUuvmmz3qeaelnZSGtJ2so9DpArzobaJq5BnE4S+FSQRo9R01CMqWoprScTNOPWl4Dz6wrv+BAaznZbYtRJJPRFFOUp6sj9lo6ut7OVL5KXWrAeGx9zbW/07bmCsotd6H1pqP3p0ZcU69Tpyr46jsaXtWZIUkZTBXj5TTCJTcPwyg28BHmSV+wj7zg9C5apyX2Gws2ParimIrzyDn2mJ3jVxMjjSDrunqQhOjgDE4kDLJaIX/szJ/CTYVJCxeMCWVOATx3/oFgC3i3Uxx2+QOxqMLOdZBifQOby/JNR5SfSYquMj1vEpjd5qNMvU5udXojX7ASMTrMzK7V1azov8PQSSN49sanFPgI+2psxjE5C6psDk63VHuVIR6naWSbKuk99P1+UsvU3LooD4stheHzxVgK9NWrlUhZESBe7T4G6V0pHkgWKd1A4AuLWESvJkAOoNsnDYFfJNFH2qb/pWKcqA7yFE8HpmBLNLjOJhC4SvAIQxva1PCKPZ5DAJxnvA93ad0Y+pYYvSwt39zHbQPJdD/nf/k0qA98f/+qrFLNOdVIOpH8SICGE2O0fcQpPCJwbzEUs6/k6jQoYBiekfb15FYg+5Bb8jxM6NGY8iUUhK2zyLSzLtVLTgYX4SORUf1LtYJWPXGScpIto4f29/CAyjo/CAY5hmvsak73B8sn1BJTC9dMbgY3Em7MSwgO2UKlmBXxkN8gz43d+Vn9S/F/kqYq0m2oY1vFyY/CqyjV3SxROY44rIs4W7PjQDYPeRUPy3asTsKqrKZZxkfb92qarm6px9pIXrTRDeMV0/ajoz0FuTmQHKzm+3pajUakst1BA7HaXA7dN3XIPEhee4uMPpz4Dj8yH6E8+/EgfXxdwEVpIdRgi6qu7h4vaVruDox0Svq0d7L+3DYShadaUvBg40Dqw8XZCBrgk8vU3OVIn4bGsZBJJLcg14a3B6bK4elrPagF3wXgM3vRI3X83E3DBw1onoOcw2SEe8XgypJIDaK8tWTRii7e53TTwaBf8F/9bshWkMCrEks5wNiFm2J4qylFl8Uk6TzNTLgL1+fuGWaAoXT3HNzYDsZ7DQU5HYAPx7P+8gN8eWNgV0M3kffa68UGwc+GeJ4zwt59nYwaUogXL+jcO9UgO1Fu3Exx3t1LPdgClXB/mdYDqUy0OsYEVGVbvhec14HHFqrPh3JfmWyU+buvJIzBPCfjtJ7ZBZnWMBVHjW1cTFTXWqHaTquKxvilT20EC99qBZAJF/v7GzX/qpqkxl1+NY3faiff8LjVAmZFH4vx19wipqLINhV8M6ZIMAPWm8ZvGmFd/Yr+RlC0dPioyR82Y7wi0zrks9LoWvKEjrDvyEERJ1sI8o1pGzZiDQs2G6pcO3ZVS0I5d6ImdFb6N7bVDEQpzBC8q+mDK54hIu94sg9TBrPwdLdUuk2hSTn8UoTgkN2Y53SRBeObfMUYD3lUs9RVwc5Xw+EceKE1XWqYp+2n2nKmMkgmPqACsKpSetmCdc7zHkWsT5yeLX/MwE4lzVJ+EYYcfHPmTRPlL0Ycog+auuqH55NZucB3pMlWMnvAc3Cwrfd+GpQRG/FNOIYuvJM3GHCA9lGaU7hn+0k2ZJGvh3lXe7baF7O1MDgrFyhJlsv1GHKGXrsbhnghaayYidav+lSvs+AXobM7RU1feCExKMlmgtVgXQxsZCKMdn1QMzO2wYbrF/MNPezfXvxZxM98J1E156HToOsjHcokd5kEocknpQG26SQpv7CLtR6yd4VBOF9QLYc908IXAy+uFdC9n58Tw3HXQqM1E3cgR0s6b2gEwRHcA7MarAdV68F8c1MGoVqDmp1XbBvSzQhf2a9LFLir8ya+ymZfDD8ElOGcFYOYP+stDFrWZu8XSRlStlxpp29Y+Cay5LqobAi6WXht5v6wPFIWltr2FkPzrgvx5o4d6rGpbgtq214eQ1h5t3r0qq9KOuxUAtKLgoSoXO6bmpRHugAZdXzK9MdlT0haqyPTx1Tljdc6gch6+Aw5upJCUBoUQFvyVRc9CLr4l21RzpNqSr/bLPj9QPUD3DzfzWrzmOvRtsBPNluzy3xRyxBUVQs1hJtIe/Sm70bLLFvk878jdOPtmsWK+4h8LDZqrkg6qS5eT/mVlWwHSfhGpXUNKzB7m6eyDa9ZsgvAoqBzXXS3ZrDjvQjxBK9df7FygCVZI3TDVn0IeO/0XAzuM//qxRx7Tmh8U2JdiaJUFlvMJRSPoDzjtuLmeAr4VuIh6V/36CMeo21BbSd5ERWV3rS0kmpMXDSF0jOCt1UrJUe7Ih0tdSp2RclR4xNi7CXy+2waXntEhbc53aCypjND9ncKN2n5TgIH7Y/ktPs063T4pfGzEpedBfOOHk1KD0X743PV38fkFawsZkYCy/Cty94oLmt3eoiJQuO3S6JnRxO7AntWX01IbGmSo/K5cHx2Gd5OjY29ZlLFjjYvj3KfsD2NQ4rXOaPA0ctjhoom5cbmqTdYzRg+/mw5o0+H3N33ZomvGKYXGIoJVToo5Rr5cyJPdUScltuMWG6D+xuhysDm4zMrJgqOfw1hFsckY+gjk/Fklcdn0Ty5JL38dRsZ826Qx/D/8ofw/w/w/4kBjK2Bho7OdjaGjlYI/xdGmMRhDQplbmRzdHJlYW0KZW5kb2JqCjE3MiAwIG9iago8PAovTGVuZ3RoIDIwMjc3Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9MZW5ndGgxIDIwNDgKL0xlbmd0aDIgMTkwODUKL0xlbmd0aDMgNTMyCj4+CnN0cmVhbQ0KeNp0t2VYnN2ScI0GCRLcoXF3d3cJwd0bp3G3QHCCu7t78ADB3Z0Awd3dCV8/Z2YOZ+a9vos/rKp9b1bdu2p3Q0kqZQ9yUfN0ALIysjKx8AHkVFQ0tJToxRVVeAHgADIlpbgT0NjFyh4kYewC5APwMPMws3AhUwLE7R08nawsLF0AZWwsLOwAUQcHWyA4aufg6gJ0YgDIgkyZAMYgM4CVizPA1soUCHK2d3JmABjb2gL+9ZwzwAnoDHRyA5oxIbOyAsysTF0AJkALKxAy8z9OsiBzewDvf4XNXB3+J+UGdHIGywBowHK04B2MzexBtp4AM6A5+DFXW1slYzsggOYf/f8na2xnZev53/n/1gQo2psBnUD/d6km8F+F0aiCjB1ULe1d/m/eylnKygNopmzlYmoJMDe2dQb+V1wdBN7N1goEVLZ3tvrnnQFY/k9CzdLK1AYEdHb+7wwQ/IL+jya49n9JMv/nUfwrpWxs9V9n9T/b/s/ZAVjfWdHYxcnKA6DLwsTCwsoC+NfPv3/V/z9/TBJkam9mBbIAsHFyAYydnIw9watYwcQJ8GYFWIGtPQBAD3CRzEwgexfwIwDwa/MFmNs7If9zJqwAZvN/hf5FbGCy+jexg8n238Txz8r3JCeA2dHV3gVoZmL7Xz30PwkuADPI1c7kn0O2AP07yg1gNrZzAAf/6af/CfL89x7/ewNeALODsRMQZAs0fw+Ci/+v6P9eC+46ZgdbV+f3ALgEU3s7O+P3CLgMS08HS+C7DCu4FrCLlf27Ciu4HmdbY2fL9wi4EC+gk/17AFyDPQj4zmB9F/f/yIPFXSydgO8r2MDS5vauTu+Bf163ldt/rADrOoPP+t8MlnUGuv2HKxvYFfi/amYDq4Ks/kOEjeufmm3t/+Mh7n+2sbP6P1GwMNDR1fj9TNl4/zkBoPO/Gv3fxw62Fn0nsLLYO4F9xd8JbCvxTmBTyXcCW0q9E1hR+p3AejLvBNaSfSewktx704Fd5N8J7KLwTmAXxXcCuyi9E9jl8zuBXZTfCezy5Z3ALirvBHZRfSewi9p7x4Nd1N8J7KL5TmAXrXcCu2i/E9hF553ALiZOxqY2QJf/1eDg6f33QP3vBPe/H/jfvc8Jdn1vc06wq8n7EIJdTd8J7Pre6lxg1/fm4fpnyt8J7GrxTmDX94HgAhu+zz8XWMv6ncAuNu8EdnlvMm6wi907gV3+41oAu7xPEDfYxeGdwC6O7wR2eR8kbrDL+9Bzg13e3ws32MX1ncAubu83DtjF/Z3ALu+zxwN28XwnsIvXO/0zhSCz/7wfeMBCQLt/h/7fjwAxMXsPgDcjuKEZ2cC9w8oCHgJuThbf/78LXNUFfDcaO5n9OwBOI5q6OoEvPZd/fYaCBZD/m82twJ/UQKAH0BT594K9KX+QdWpGmkstTs7AmIRWm0JrNhe8A4NHILlF+UOsdkiM6SMbnBmizfwyqXQ4RqYsMVSB93WIPa3ZwULsXFSOrZxBD7n6AzqncwDFtw2b5IgDeUNAWWDunqaZKyd2SsV3UK4Ip5662FXKYkENTUXCEZzjxrxdJ8T9SObhc07PxkktMsz87fWVfKq3mp2JSwq+tO8Zep8UeffX9pV8NCcTt099zuZs04VWQp6Omfx9grfscLFFjOMKN+qVPRh3dX0/KeI8V7igKDUCjNXpsC2Z+LhgOnuzNAlIYnC5dc8JyS8ZE7sjLwpgX7HCr5NBaBXGQ7+Ltwsn5g9VfnGbINA8/13QpO2IakLDh9CwjQf9QQ627EAf5gxMfqkNai9KNAq1x7vha/ZN/t43JO1vUVjv/7OVw4mhg1EqRsKd+gRv2Djk0yDu4ap6fcccMs5VDUyvFCCK29i556J+JrmcOvkFbvDrtOI3cYm7PcM6acGIQUiXr+buKnDobZtCi4k52ZYftGcsmnZ3Tw5OM+kX0N2NSduF+ZUM0L+9eECcjVMwNYsB0cMyf5XeFQpml99l2fFxGE/eZX395o777FVJKffKpkfB50v4rYgiynZDlltumB4K1e+pZdlRIUakF19cPVKY6RI5k7LeoxLZHTFIGP/IGUHlNqud6gs+MyOst1fnUX6Oxs+iGNI3EbjgeBe/z5lQuosg3kZo7wRHXpNEZgsTO0Qlk4nE1GCxq9EtPTbubMTP1orqjLO+0zxUz+TFEYL+SwFhJu76JQZ/5OL6YeCZpXDF8ew+vjwp8+XHrrnu7lIy5vMsBIt7tzL2SntG2ZAZ+RXug/wDHhI0xb/56fKnIyJQPKrlmGRJvOYJotHySQSizbcWtAt3s0fKnyobLO0Ss6ITS9jayqmzD27KLLWpTCwqnU7QmcLCE9KKnB3v9fag+tmZeNrzePI+ruI3zVsHnUw8spLcPPf/RM07xkUwh/pqLi7rDHSvQJqikYJfOsYzaRkko6kpb07YL0Vv+VmuhOxbUiA4fY9Ler18YAiDlIqECuhEldKy2FCzPr2e/V4mRn0cliCnvixftjbMNRa1P6q11EgRc0FUgkVD/OPLjnJRwC6hVQli1V0TXXMbo4nmwGrz1k7VbrE7OtYk5qBoZt6xju7Jvt1fqPvdJLbCei/cKiY/s9eODRrrRSOaJQNjaKIR/Z9r9doZ1DqNhDTubYyPhH+gRqWLEmmhMGD06yb0qZBj6ZS3FTHPAr/up6clMVtA4unuwcZopX7KyMemePpdq8zGRGjoXmcM60HWDg1rNT/NamLGPraerVKPaVUlhvndcLmHrxG0boJe61DiIaAH8j/5PobvS5m8soRmF+0NJW8NUacA7YyhP45XGtYjEk3f+mbw/CEaQyDnFDCZF6NMks6+IRvVmO7NaxmthH0nNe4kNBvRkSwYCFii6DpieN1odywXsjEcUojdFNTdGH0U0Qp7Y5/59De18UoICXtGO1FRGfNuDVVg/IBM6fggTeYv2mfidNpf9AVwyVD7wsC8IypeVgBK1s1HLwGo3aGSY3Iek+orxtg9D+QIPETxr5x5HV8gI0GEEFnI9oHuJUI6i4/DWLGU4RlkQ3wQZYG/AJS2ygUw7UF7hdse6D+6RDF2TX/ooPrCCReY+5kZKxBi1uBPv4qZt1alJZ1jaXh9QBemJq6tgI0fK39wWZvn3M/JeM2pXf2IH1cpXlOP4VMuepfubB/Ff+p14LKBromGA2xp2mIN3YuiExbCSSWugx2fNLXfst1bX7kJqL0BKMDKQo8bFOA4t/1Jj9iMFt+N20owPUXkEjaj38WutP+ToqFgCbxdt0ayktE76o4OX2oUWoAvPRlP4txRw+rJaNgYzlPB1Z0vPdUde6OKT/t9VomVhE/q9bcYiu+zvekcP5R3byUmtR1HygKCklMb8l2X3i+fnsxcmWIB0MKUDY2qw56Hy+EBT/8eoUFKrqUjo4v2esdAMLYkvzrNBn5A6+pH3yxs2+ORI6zIiHavvrX8lUwICxEsn7mjmasSy/oF2Ytop5nKssXmNtM/OPTEdAFcv7PNnYwoUQXw3xRklXFc9CwJjDk5momyAG1pmuJ4qPWyULfp/CQ+SV7mtnjV9bBIdNee0W1ZRl21mHGWqDQ9EWrIQpchvcheaxnhFiIp1wyhxnMvfRfdi7F4uLECF2rTbPDs0ffs5+OT6tUwfdCJ82zufWNo5D9OA110TLF7qXoy2ey7kI6Umwl36dwHvNidKzckCQkytiIVSLWDG6qq9nfzjugCxWQQ1dKifa0SOCDgK5QAiP1uZ/K/JqxlUoDG58SbwYB6hW6uzHNa2Qs1nxD/+gnAvJG4B7Sfsb8RC+BCcTAnLLU2z5qRGNLw28YyJvntgjUtq+oC4Ow1RDG+QEo2IBZF8DKEZWjdZD2RDbKBJp0+yLGqArfG1tVPKIpTtU6SqTHyUmri5dxRusM6SrszFaNRtaZj69HtYfJCigFLLdfOc6EBmGWjkW0Tpou/iIPDs4qCYHB2zvBpOPRG4KM1470Ltk3xKfpXxzW85L9drOK/sujO6wSGuCeQNGjtFdLroeK66NSpubNNLKwv5wQPSElV7X5rIdVpYJBlDfj0U2vsGHhIfpDwa/R7Xb6BsonKb9HXAhhBSKXyex97eK4rf9bDEDqwC/x8FWKx7wJT5Zn9dnhkoxA1a9qiaS5XS0KKouIp/fNDiEpEA6Lr02ySgW7Bb1wyaYz0VuDdGCapDcL33dJIdTy+JGjcJ7v8t0+eMGutXbgF1X17HfiR0TwqlHWrjB4MIoWc+lDVm049/dVjeWammluDMBI4ya0Epp+CRYvHyko6G/k89ze+bNbJ/mKfT2YM72ds44j3d/0NZ9Pveh10X9jO86e3VCZHq+huzWoKV10bUOJGamkx8UloBUqDTmT7iVDH9eaHL2H7KaETJz5G7y/mTo34HbRnlievGjTQh8i1WHy5gtBjddLeSDwIqBOqzQRr0qZRhCi2EcJFgmWe/NgZSle3Rdmum+1fV650iMh0BSlzLfOM3rxm03H2xP5GO/PcmTLdP9M6H0JhXCiIGkhQr/HUVmoI8bFLsy7x3Pgd1Avhspo31kU4OyGNS5f4whusmmtrv2bGWWfSyPulV0lgenPc+Z07KjET7D2nwh6oaDYLfB3ef6Kw4U1yhw216Ij+rjsBHMghYcTkYXK1Kw2aWNYGGV98ajC6yb9r+jSwrtHtWnAwxx+VdMBztoBmf360lIracDiZwnwkX3CnpKY+/iM8L/74BHrk1I6BDfbgZXzHU3rpAeKlW+qr71cPoS8BJC9UJahMU2aXKgq4vYGtf4KUEIerALJfZDPfnunWzzw5ydyYQeXbixvxTzjF0igw5PP71CEWKCiRsxdPRxEdcHKx8Z5V+9GV2SnXwjFRaEE6dt2HQegivsKF+tSt+Xv720MEzN6yVT6DZEh+5jc3ygspd5fEWF0e0UuLDgAFGLJj9D9bLW5nyRIePF9DyXS7ZbpiDf+ifP0ERfhMlYh/aIxlWGSCDC/XIeFvaBNTHnFZPjIvTkV6Hu/RYluzV0pQ7ImaVpXbWziSGz86FCUmbPw6EO5rDOLz7JWzVErFmMKpR+bV/UpYlrFm+GsgQ+F30P7YlvsrzWeIFp/cKWnDjiMI7iaVPWFq6XRJBzL2IYha7f00fOVQUyPzaOiYaAiZVI06uztmPfXC3JtmYgyUVxgVoqovmLinfUaFAtLwdsfXkF6DxgQTMXhv/aoKGl8r6SBF2aUtbPq1Drb6y+C6E6TsSx1K57o0DCw5AtP++GuKzjNPOUheaChrXZCSqexoaEtk5h/AkcYXMaWIKQEK2OVCzc3QZQ3nPyRgEH2ivzPle/ZrX5aphU7NTAUoU7H9GtHNyFfNEfbygZrxzpk3eWHOYvotdBDWBzqW84blVjeb28Ipb8HZ+b03xTGd/yEQQ4olKryg0bLpii/xqjEX3bDsoLC3GUId/QKOO1AE4lREab4qWMChx4XQsjp23U1MGDVaiERFc3nVGqFIBnK0rywm0fB7m2rWbGfpSgxJZ4Y9ZQNxA0ta0ggFaPiIjdIaBf0+qElY+mKKgTjsiwQzpd6k3U9tCuNemo9fy7rqN2L3qPnzMnWlSTWoiz4GSmDuFLnslKhHQ1JBhpvQgBwbg5T3fT+dbNtsph4r0oKaFb2+/c4c8tqbusW4dUno6maMHNVFT61pbT0jIE0iKorZ/LASgixNe4/uSeXTirwG4/44G4bz/GShA7tu341nLEveui/+aD4Qma80670piFa79cpw8vfkszv7Bbon7gDHrKQ0chg/cRSfyoKVZZw0RAkRRiZuhmDGnz0Vhb8MaDyy1hKVyshVl5B26Lcsxq+4ZfiRexMsbfxR8e6uLT0gAEaQK0ROvSKlB4NP/hkJ5tjoWjBjmaoY3mjWp+0H/E0HvYR2CdU7jM1zce4L9g9fvjDmJ0mMk4YFXNJrA12SgxMfKnY4/ThToW6f4U+Jt/HcFrCSGRdw5NaQeYLWGh9OtT67bj+pLHbNNmkNDFVJfjeerqpmftBVsPP0Uys6xhqwqAsYJ+FLHm8LauYTOLa0tZayyGlOA+3L1JCsfTr74pidPcaXEFFkhIAkBiBoX9WUoBWlAhCgzjeBjmQDbOPRKe6gqJIDOlmDd0QMmsbF24m5gv/WC9A+grKduts5P2dZoyYe48n/wXTVqIk9sfyVN28WewRc4vnZBtj7punpM8h6oDZOpPpwEvO7IG54OaUxEn8ts29OolAsUsoMHa4vHSZoemJaeiJ0zTxjgPttVgRdfQkG6nGN2zFDHEYRAe90GHtuY07lcXHLPtNTcr+RkWdQdUj0QZjZTimQXnFIMbvp0uhTX8bmx84KHutrFHgb0ygIq/GeIrKcpN64uuof4RGPXlUbiDLFbBoqQ9vCtwI/IXs4exO/IkaQZA2juZ/qL/J+FD0hp20IjCpado4II4s7V7fQEh9RhEXa+DgUtQ+4TgmjKEcIJjZN3W9MzS6CuJ7mVo0k7qFRTPw1aJnuICNfBM94MPl7XOET0EQ0JW3gObSOfTLk6bqSlWTooawKv2G9SgpCRxRSZbO+EastUnP0+j4slSzpmEu/vPfPrQ8+hK4kA+EvIYIA+6FERw+o71MoDnVuUtEmLCgz6FtGotsZkmfifhg2E+IsCU0rWjWN/JArqw4tXZSS3apaUcjsUHSB4hW8NT9Laen9Yvxc9JiTBJp2rXxDoYUZy1sKWcZV5yObIA/nF1y/FFM7mKSYkBvWQ9gI0HD5rJlsTaL4P4/FfEz8rXCfvEt6wsABMtrgmTDY4ctLneNP6Auyc0G8tb6mlfOkcjmm8PlEf8Bi1PfnpBXQiTQ++npFAfo1p2quwFMXHesTXRkXc1wWT5reCnV5rH1237WTcmYhttj1OiN0Tnz1MSdL1uPoI1b/4SZnj2Cz7+S2FEtbXaB2xTcMhZ5aeHI8ihxCtJ82ZIs6JA6aO97GAAwi7WCS/FnpfPlupU92sp3AQZzbxpaHyYFfdzNb32kq9XcbW1HbP/MdMnXhYCHEfGlbPKxC59HQoFEKTKNdL6wCpccNpfUF6SCXfnXR3T1pI02WRA3KJLhQ/tvdF3lWuFnQzgl9LxuS8Ho1PEploGwqJ7f02iYTKbksBUVJNwWVK4JfdP/gXB8n7+WL3vDHjr9C2CifZZIqSjgxErgsilR3q0mbyhqNhItYwngdM3f/bd3FL2gw42mUwc8Xob2TqGtG04c6bpCHCg1RUf+XjHvIleWRbLIaBi0o6rho2L9U2qy1LsaXvyC2v77DDKKtj41uV3Ar82fIEfCn1oV8rGQKjaRbkHY896IyE6O8uUIt7SEU0O+UzKUqAwmd+pUJfQZIL/xgcKzjpZus2JPU+afIihFnrYUD9jUXCtaQpSz3MB/vlV563ze8EHi67px49eZfPI9lcSyP7dRhXn1TNwl3AJinVRcyzsi8pzpHWgrkiuW0sIlHfyQwP+2NEUy5GvIjYzYdYv6UqFMrX+fM0Jh0fomsP7p438Dyd3anOEHFfESdi4drNi01cOVgO4JXm/6Qppl4KvgAMoFlrRwPPakTMpEKj4j5YIQpoewVGaat2Xw1d+OSdtK1oRfZXWB8rjnqGLEKDdZ9oqse1wOlUfViSrGA0Na8E7gl5xYH1396LWoYpqdqzIHjQWHPZqTEIISWl0MP6p1HqEAqUDffY5z3o+FGcLgfTt/yPbRJSME8jgoI6ds+0Ke8/DiGdw3N6+vDxviWuTjq96crLp6gCSr350TpT4LIORoRWnHsdG9mJFjrIf8fCV68MYua6/0hJiga/T6pq6qQBrdiAsiEuJmYMesWTt1Q9QJx3xXYpuZpDh3d5elsAUB5TAeO6QDsyREmd0rEw+VoVDmg7xE5HjJ+FOipO+n8GqkIkgpFc5KLl5/uBUnqoLZ4mINrWtx4gmqcXkg1DJ6obEwwYjZtkeJQMn/4HF4GOyCAOoWjjIT2WZVCnO551fyg1l5RWSOIuNSfIPL2di94RIs4LTgx/TI+XHm9Fm8/+6ExoDVnPPt1ifgqfrU4P81xann98zgz8XrEotePMkxk2inGXQKS7y+cptuO9njIhDu0FFvESyuuir0xU4F03GhOK5ldtkXYkm1fVo0IN3W/OWDPwSSJu4VZCfixkBGZsS+e9DZNac+P23UXpDo5vtThfaFIZ/jAAV2M9ZRPdjMikTcrs/zGRUTqfdDp5Hx4y66XsQx3ipqiGfi9KsjyBBYaSzLtQIGIaa3RzM0WoybV5AHEzpCB1Q5qOIehYojYg9v92DSDp3t3dE0evjyn6QX362bn77Ccq/831MytIQD1L40FkVoS/hANZuEfjW39G/p1f+J/DbDOFcCm/7r9vjVjc8hjLjPwLHwmVm1Ed2L9sxznotgmKoIL9rs1uTnFJsB04rVlnwYqzq9hsdbPi7oOSzKz5y2Sl9EZ6rKSWrasL4rEmcdaK+ip+2p/UX7AA3/OXe1iJYSnLZPurF7my03+idAIA1682SHlp+AD3LQiNtHjgsFoBN6zKGFBLInFYPKpvU0Y4QofzmpIPATISLMa8NfCEA/iXFT4sW4BpnKeD1hm1/bYl9S+7EckmLCNelw2aocw8ToKd+kPJbbwor/SdQJgkmiNVs35OFyeIdPmDO1IV6xQz3G9ANkTOzyhJu7oMmcK+nl3VijHkoQu39QfzU2sQIBI3WNtpa369kpRb1K2Id1cWOOymPC47I5qlsCrYfOYF+Y2bhFyqer5VyZxbPVtUeJJcoTIMhySEDqPiQ5HV4JyAqtnBP/ng1+Hz226XtQZFaSQ086BR/ME0yOa8T6v1hs2t0WRfzpszj4Hjy7Xzyw+euGxReaPHoYPJBD6D9TBbV8zHOLo3NTFtkkgghynPi3P5g3QKAYhQURKV01+8Rc0GBEoxxdEqUaNnyhIhJEk8In8ozmf97U43oGcMTakyelBjZPySLOxzJzmQsdpl8NrFyYWb9KrvkehsGngGP5O2k8UKQMT1enkhQZXyBw7DJu3lHV4ZkGMU/rk71t4sCG+k8iTSSyC1NAQvn2Jjwpb8UmJOvboihvRS9/XwNbt8JoWa+TaEJbnFsydpSzlvWTjQ5jUStHXbH8xl3z53PMqow/78ZF+N4L3NN2oeE9H4jTri9/iaj7yU2csdP75nqR7f635wDZigFOXpfn3iIB3EXh09wEhMEYFlUf5tAuEGuqQ+S3gbFyQBwlHcD+r1oQ6aePPUmRxIiSxhAVfSmxbrDaJqYwJd9mIoQKUDpVD9dWYk/yxUgjk7rqe0Z56fImPuHjanGvBXy22Baaz9KP4h3KoNrhX8Z+hyCaOrK0G+mctdY98Q70bR1X4uFU3R6mG6AN8lnLqzBQa6m4SohdkBE9/xka/ILggQWXVqbUiU9+3rUyikF65oKinjFfQE8167EW/ycr3XJ/5MHq35WlOZrQxKC9TiptVnkgmBVWnc2PSCbU8FU4jwEOJTgIXhpQXD4duJIxQeViEOShNO/jvS3W/VIn6/Sztl0gZeVs18D8vM6mN5olIiAqYEse2nAHiUx7kMUFYL+Kygkwl9w8DD/5K+V+Pe/frwISX2RRe8LcPtRNdrq34kt07xMg7HTTqqX53el15fgmuYRQ1e6BLMZh2SXm9Pf+qZ0Hee2MQanfB4cq0TMmS/6P2fOHS9oNCnA9D1Ylu6aDi8GSryjWgPaAG4hAO6WUHgcvdjSc7iY65MvrYGL0VA5uQNS4alxRlYPcVBTsJ/vOBN6ljcuODlV1AiBwy1y9o1GSy/LUeDWW/Ws0Pl/6CMRr7g9+Ijz4pTCZV57/5s9Bu+vnyhWUgNEzd7EkTA77lhd5dKlWEGhmrMg3Swnnu6mVFvcF/L5ylefFeKPZJyicQmafpFnlNL22FbIKoWP0wKP+S3cp6MZF9CbWOpoZTESuXxalh4e9YHEIcxCWLrMX/XJ1IHIRXdbAZGpV1cTkyO/BxuqtCZb7s6UBp0aJisdv+MQ6TMbraQVM5a/L7EvbUhwm+AT9GgtPjyAIK35uv5RuuanOwfMRZA518LlIWydJk+OTrWCSLa27C3MTITfVf2XiELYva+jMgIjWr3PlOT2eoHRDkV1oh5NYf9p/Ou3A6pwlfeSf/EGhTVdl8RGrI/VYj0UV/0n2Pa+VduyLIZnSCEBGGweZZYsE6zYbewatqIWG9SQ6PKSAiiVtaZKA/H8wvNmBAM1Ljw8KrOaNLECFbPoNmRYjTOvlq8FdQIu5GJxGlWghxadz6s5PMJEaUCetYOHM5ygpyXdY9O/KAQuh8WEL4L5zFXu5vgvP8v7cRRbr2SrNbklcBs0qLIAEOpwW+ax/mCbfORP8XGeWtSkwLnr4Cmrr5qA8GcN3w44TaENe6dmlBsR9vSnhTP4rwYWlNhwf4jcIxC2GzuTXIJQunNTpD4F+vDeQzL7i/+r0mUBa/uR2Gor3ZeeWD7DaM1acjFfRYoVC7asjac7v0XdObsPn8I61pXVgTOY4s0eVvvuaHnN5N/sZB9drEP8OQBQ6ktBm+UhkhRpXSVlZ35zAPdW66XZPun9qyQgwsjCbNnIYKxQ7ESuutAm+pjOWLHC4aQtsjIHtyp4qr6J2R1Zt6P/TUjATmZDjzHRahR+pFV6ZcKGW9xKPAFW/5Hf8NTXoct02nHCi4eD5TVgP21Sy58G8VdiYhB5Auu8y5blFG1VOLsVqf5jS/vVgod3rbBm4s/whF4GHi1OQ/Umh8E/sxEWxn6t+tg0g7mr6Oju0fJoymNfLjVs4c6dmeSAHFsuwhLIX1UvyzTs+o+WKwCclm7N84ZiXtCq3UXSr0JwL5HR+oxmzsO7XkoBGHqCTES1xZAlJfT8a39A8WWIX3/VAsefPZYYuUeoAb0fBJCdSX7iUvSAFWbCkp0PhpjSR2KMm9dhXf/iWkPzmS9+k33m+hIgi0XV0vDH1Zg7xSMxPUaTIQVr4ctydGxWxm+YfFoy90Y6J+/jbhs70G0nF4yTnWeIUdmK9VAvpyk+7uR8Qio7WmtsUGcsOwaHwcpKrZM4lhJHJT8UevHlAznU3Mw8OBrfs32gMMffFHGUdhbrtiDz9VRVDXHb8o5tVFBnA0wQ/jLUEpebJv33dzQaO/wWPs6wv5c9xcUYystwNA39+YlU8nF7d8Ai2LtInLuR7tkmjWfhQD7y6hSI7HOXQ5EsS7Y+UGfZfd4+sgkXPluRVlT6mNaOoTHZ4/yzhPCz5Yi1BpY4weFcQRcOjoX5Hc0DXXQ9pEXC/G0WisjM/TwOyi2rI4k6O2qmROv44bLwbNTKxIKT8fqEsX219pwIrpuVRZsgRdlDXsJenv/glpplG835ncFh3s6MJaTWxdMSLBEAiZCJOXvc6dc2vJ5fS11sM+UALWDQTpWWh1xRsOqqYa/LzSnaymMURCaRhkT7YSoDgJY6OrtG5J1X2EZFFPXaG3c++C90KiJHrAG1DG9bp6i+KtVEVZiF0Auij4ZzJUEc5Ls4mhfZKFJJSHIdczcHWNaYaZaGbM5hnfEvCwpwj0WSmlT5svHS8Thg5Wi9tkm7bzoIqdzJRBR65anwNa4mmf5D1m445SD2hYN6p9bhzv2iSfOWS20NpeYYN5+LU9fDEeUPj0ifFoxrAItZaG8qLnTMqv3IN6pkZyiDvh+8Xkt0BARIlaMHIyMuTzXJve+jQLbaOWle4+h9uF7J8mLISGA3+jOj6gBnYcbtk164d+oDFbId6eOr2FHMlaLSLLonY8B+7Z36AzvdOWr9wdq/xk/YFM5bIivWX9NdAO/Xt+NB+quagjwmtjKX7sZeKows/U9SC5fDYdADAw1l9e8IWUYNcm9aYY+2tnuJf9PNjt1pg+MkdjiRaLNSnBEJFxZrycebGDrisdy+hsfoaU3/RAllhMYMc0zjJAVJVB95FWJrP8sSgvFMfhfZXCgb9h+cZ8yjnlsyw3LJNd8yK8Jhn2c6j6au6b05c2RxGf/CMoj+q2fCDuEavr7HUg+879rfOQetGa2B4l8pMCJuniEqSXESFvD3cv6nnnapV3bBp39hHjcBuOo9oxpg4cLLcsY6tGVqN0WoSVrfcC02cOGVRHj9hOehWJ3pxOBY5atOfjbcsqNEjYFVGrI5wWHv5YRQKqRMopOMSNbbTfVAodImdk5pPR/vQbzMae2XYL+GcgpybKYKbf7XMmgTaF/ccq8KLpiRI7shG+/rofFJ7s2nFzJBTPCHsEpbREn+ruxWK/Te3pT5MbsaDZBXrMa/Qi1nZbyFPTpBgMc2RyMc8nFZqp3gr7Saf8ZbC9wuTkDA8AScN+EAxke4TZa3IyGIEcEa4myBLYIBL88XWn1h7y77yrYCSk88q2BWSuPu8ZlWs6OzD06mDBS6j4vHc3rbTqbmbYS1TSmYhQFEfhKIN8bJcnsLnsOi3EpR0wl7kKkevnuoPhXB0j92094bb5jCzqhZp2UIB25ny2XPHgyChe3IWkdakP4jOvtk4Dox+BMjXzh182YX16OZvfcYoGXRvOBH6zKn1aZmHOw/oWZJNX96Nz25pLk3tnpg0TMzHtD1TRK49VbuB122ZxUOkgwtuPgKrUINGs+oNCW+ZCjgHUYotAg6JyxjTioAmM3CZkcn5laFOn2uHY1eHW5opTGp0eT1PFiZ/xC/GvrVJGEeNuwu6KNS8YmhUlkzAMHQGDu7ZNcvO2llLN5dPc0yGNtmzUAR5s+rLozZBltvhqSt645gOYiiz8v6qpOWcdPhvClvIuaweDPEYi1wT2100bqPvEjkrvhc3/TrlZEfSCpL+HdFedp4tjGfls2AYowHp/iW89kar/igel3GG18YZr3iapB1CBErHsZDuQcGD+zShURlABbHhd+JvqgHi+/TAuEqrKRZW5TFt0iYl0EKdVK4fW9yk1xZX9+WumG9Jql9e6wdTiV1Y7P6IdbBDLTWGpwEKBrakj4gFrSgCx2UyjUfEp7wRePM9rjR6Iv/WJdZLMlE8oUMXmR9JwopCYSM3NXAGK81BYxNxjsi2GyjDlpxDJtqNPOlrtwblizIgdvZ440bAf7Kb/4HFyFxwTAL3F0IeOIppOmJuVE3NXkgev0WoU5pHVNhaJTZY3pIFOE5YFMIwQd7+s+qUvzuvgPqNDwwvnI7cG9ckG11txLJp2C1I1QQYdeko4GQVf3fP5U2qXN+IcR1IGpEaJ0cSYy37W2E67bljGOBuBE8Uq3+CaeGpwcyqR/5je1G+enREU1oPwiaED0zEukqYDaym5d/5rmpGg4uRYWI45ziK2ptV0hIiuYFJjh9cJ4k+rRgUnULE1aOG7TaEEl/QpbLVD4ScvGE6oL+1Km2aOQx8iBDG1Z7LGUx010sPxg4XJgFmqShU0FCHItiR1ggaHLpxs6s6lYuneonkcnvCalOofPVNm9fZTXe/pYiIIdt+AnJFNGmF1TViTx3oo6g/oT68OsUEXdp6RPwyfmg0cFntmcWScb1Xh5IgENRvafisUm82yqDklQ7i/kvPRDeCknxXUvLkZGe5MOOFfzX4NmVG/y+uWsJwguzjhTl0eY/m0mvt342gkxGYyzlwIzrW71AfOrjkGUNAPyjDyGFCOkYFr1ikKwlOCRdtLUsaf34emH3TXA6FdZVMz/MEDKW2Z4oRBfL3ll1m/mWT/XpluKW+ekPRtL5k3CKqfYwhONN44rPGpUsgGgwae9RaELHw+ytzvLzjQJntq9jqKAqvcpxu6HXAPEQH1Xcxp/kPPF+VzXXIusxGiMJstG7n5FyyPSb+Zg7U5wMRznu3JTyhxFtg1PlYu74+lq1+D3bSa4F6yFfynTK4kXGnNJ7EsrEAykaXwx0Uz4x0nR50hdgrrm1XhPOU89p+8W4aKmQqQxOzLUmjdSnJqBiTkwyuicfl1/rQ2HgcQw9HKsrUv+dGWFxzyaUnvEpolsDjrs808BhFVI2KS06myxcyAYNa/xSIe6n74jHL+WLQIEdceVAf7FgxhG+R4MGkX9ADNa/8FLzfUEkrssOxt17KcKL4DVqENdT3uaiRstxky0vtjAJpuDktiO6Z2DnP+AJpoBNm5GqbvZlf9EZCenwtO5SEIgmoaN8TjZT+zm35eNJEjORBNoqUu5RCXg4J1HuBNyb9KY+ROWUP7wDiV9ULzotK5vzj2QsdOVnSUO3QjzMW0NSVBJfIjhpHSdP+hFc2zZkIvYJPpkB8ZzoNUcy6+1znANqHZNvfEceg7e24abiyekWXlOXFes607OsVtpQHSNCBOtJLPKcRzBIX1ZYo7R03Z7DYt70+Y3wFvaodhbKhhTWs8NzxFoMJhS+B+JClfYsB9VdBYe6pvW4JFJS2ButoXic1rJUqTEIPzIN220DK9zxsfhz8AMRHUkiQy2LulDqVTc40r4+aGrzQfS79VQreqfdbivAr9SSyFy8gmh+JOoShPv0oeD63vnpgW17zUm3+wKAFJbSQ/3sQx7cvk1qFrY8bDcrY09vrxtYLwbB8i1oljhl0ZNcndEp0NXc59XmjUAHvrljiz/wjh0+TjTWB9xczjQGPrgtXA/dLwdWpDRG1PvwpeqqggUyVzRuITWUDgD00eDqKdSjQUUSMbWE0aFKY56gc4fMy/GidrhM19dZ5Ytlwv0NA2C8TVJ7QVFlWxlQJqwztWtksPz7HOWr5Yad40ODuDGEeZxnJqFrMnoh7XvLFRVYeNiuB/zaCVbX+6MbLT8yOhZyHPZLevJ9XsNxLtPtN/i/pABjX541xBNZQdqGYPhSiMZTp/8opHvVLIBf2MpHUi5ay96/hIWyDq/Ggy+dTGqxdCIU7nebiddDvS0hDJJ1wu2Gj/1F8n6vEaeHJnj5foIjMKo42E5edVMh4FecnPeIIe52y2OKcOYC54dgWCctdMnGp/zsJ7VroI8rPuuFATImJvuSw2cRZUdmStAEPpNO/RuT4qCi0Gn7itMas6zlsG8ATewospaolP2aKZmdgOPJI7WZj1znz8OREhl7nXvDpWfGON+Nnby+btLhapZh70oZ3G2/r1PBEDH8lpW7FDklsarp/qiP6L1/pdEde0cED4QN7f6UP6UuLqMg43/MzVvGbRgoT8wGSGmh6e1ZfZqmSz9DFeeUtGp1YDdFPlD3OTHjX00t7fkot4iS7XJZ1ghOSEhOE0mv/2uO1zQmezytLSZJO1fU4Zceoui5lkrWMZyeJdSgncS+JKVGvRHiQgcfqMmSNiNvms6Wz1aCGYlijoxgio6NsirjTmU3kV+ZX5iTo+8RbPCmAikrXsXUIV5Z0U2C6I2LDGDJcjnvnKxFRZjVxRJO1CIXDx8wgGT9ggL2i0U75Bane/OuAaK+13AIfKMmmhDylflbNTmwVLDKE8c3LLEvkMCMND6yj6dt4kYST4egdY0pnVeLbx3ArDNpQYiTjBhMRxqUYvBNoi3Qx0NGWFrbOL0lH8mTE3Yt+QyqCJnrB4baF7Wrv7qnn6ihk0q/Kjnr0wfslY0mJmFOshwYr1eaurzTbOUNVBzU9o+C36mKORgq66x2Xilm5j7NYA+8B83m9+npGxqERsURJzfT0pHsGnCMZ/pZFl1Nzbi+AjHQ4+Rp79DWOfOYK8zzO+KlvRgpAFBWFQirSJpc78gSFhWJSNe/oXa/HSUI98f1IKMf81ejZZxkyswujfEm15PIilQfujVPkv4yFF6gerhk1pe/MGCV1ucNeTO55d7n1W9AR4JtAVynclbnV8vdWGx5wiPnaYefglLGH9jvkL+naIFT3b9iU1pDp+NAOdhkM2OB60oh5Aim0aoVO2JOwOE8GkTEivW+dPHOqo6QglBP3VQaZ4grzLkqu32zmpsuOGyj9bxDw1492Y6QOIcwjnva61I7yZxn8vtG5pOD5WJvO1peGwaial3XpBCJqX/L3scSryf7I2sHmSPAt4I/VV97tnzpTs2Jn6yK5C4Z4oNYU0IlBMv2Im9iJZ95uQEcc5g4BrWRDrpbm/7K+zVHQpnWFRbgTqYmw1JD774u0+5tNpLIB2DmeoTR+17kK1yzpOtZrs0+3PoG9FFujMEncLMEn+eXoubEOn5GmfDRQccEhVXdsxgX8hy+vzIkXCLqO+LBCOXKDQQ3SvXYvMTkqGsBMTrd3oN1vCbyAHbK+JU3Vwy2nT/TqU3INiHZqyn6Pe0um7a9MKlcd33OLh2BubfhqBvYWC5dRp4HHNQeqt/wzaIi6fx5lV4L6EqZdXCOAVPRdMVnfUHMpLugxj97dhJc5ZXsQfPE6X6N40+QNX3mlHnvHKS6UDr7kWSe2fGzuOJLw6N1fl3HFzMJapg80jZ6nPAOlwaZbDtH1fQgFEYZ/0qEP3TNFoS8gC2N7rQ9ZbWzNKOF2gci3Bf+GwNxmMB8hKskLBo/2e82qfwkf5SNYrdnZTR/ioJgynpSqeKf4UENXmdM62IJEPVe/UEYJIL0WmjxM0Kw1MCzBEFCodXiET9PewYX0TKBOE2/h4yzim+LMmKIK2NeFJItChig+b2PhcX9T+yXuMBPY2w0rS2h0hZCWD5hdLtzdibRjKuTtoIBYUzZ2noxqG/RedB+ruprDA8rfKMZMpnYPpqrE/liC5ab7IA1FghL7C2F9rbjoxPYd9ZBmVfmqgknKaF0L7A57TAhS1Q/B8s/ltzTdnx8NdfBK0tR0tRl1REHvP6RLUqpqkrZROWeJlN3NI4kBVS7xLrbUS8WKQs+LAGWBT4UtHOXX3aClGbRmZX/jXFKD0nCvXkTl8+ci3QsCmGibKxRguR/CUpO5G8uCFaoexc7+4nDJGbqM8N+FyAsV3yOtAn4aOJbIJYNMT8secT6Ueluj6OT/ls5+TrrKu7p9XjuZZ2s8rU50/MDChwL0MrPhafPhg41o6Dhzyr51IaxyphaOuG6mfwsm2KG02pGIeccjSMjNj1/U5jaiICB/obzp8+F1zJ10kc3B746qRgCm5d/wg7t3yI8H/QwNUjndqKsvvuixXcr3hht3CWgZqi37N38RWF2yJhxEI5qKcHFDMbw6mM17Bl9lIQk+e0MrSfLiFvIQm0wdre9OYpDOZHeRjTu2DefgBv7WwG0DFiY12ag7Y14GHNmyVKe4dvzaPWypfIaKGrwRzIL5b5o1l8T3N5BW0Namh+NX/OIUZdJn+4j9eEOBxQgdQ8ocMc/X+seK7Kzw2ULypnPzbBIMEvihWGukVxaCNaVt90UD5SefFOeuEm6Kmc2G60jFkQ21hxKO6L9x+sDAyUUFfcMKq9DTLb0j0Dfejw73QDO0PToGg6jUgpdPaptw3FjjPCOX849UKy79fZB/7hzy+XQ7YjUqW9y99wUPGVaF5zaLeuPMkUPMHSRns+aOsaASTfPnWgPapwszowySzv1hvtoujAdnfp4iBUVpT/flk1HvezPqingwOhNHWx/pdIegNKIH4qBDdr+GLt1X3sBvph1Olgzbmn0//Srs6eDmG5N4K4Xbg6eSvqRi2fYxeb7+66+j1YPO/GmrFTPH2AN1bCanNclY8az94Beu8WAaJUwMcXCdLZsl9PxKVxwUwOOzf75HZ7fEl7qs4UDC7Lyx8bcPFG1qU24P8VepuHRzbB8IxbmbV+7Fq8DBAE5mn7U+BeFvOA2mLfx85WdLwgN3nWEEK5DylJAQw+tktcXTHz98ppWpPRHYxLPBHgPzcGfWqFq4ADd4m9iOPvqBAARveoDDaNyOFblrOCGN7YAOpvEreOnV7cOfi8wG5ZoQfQD5w9fPSujftchprHKNG3XIOvpMuP9NDX5nmXY4f91uMQywmn2XrXdezbPsvnh0hVxOY0aEDXWhyf6VxDrkgJWGSw/LVEkVzY99hr6aAWCgGYWNvrJkACrRDMcZZSCEof3c6r2+vzJhYXTWP52RQPda6sDYgKJTvFybDKwulWytq8F6L2LGYk5HSNGzNHcJ/fx116KfkyAd9R8gxJwK8vgQA5xhOAldyTZ4ihU9eUb0gp1l7HkaJJmkpnXamxarL7GU73YuEuH2FKlKMkOZFVu3Rii0oOIiTcohX5HVLYLhgehMkcIeTQT64XpN2RTJYzcEymzb2DbJxadS10WpKNgdhbnnPfFL4iOd5QtHzbiW5tyorUuSXOlnoWyH6bY7n199WtV4IFw2zlEO3GxBT7V7Q9AT78ZAV0zy/JV9GFzbN74Ok5LmGhsyDtx1nlGhI2nbZhzMd8Q4iu80366SOHXMVvtnu8lEtMYZe+0vx2vJpBRxKO6ReHgeLyo/oiWeFcGG3LOQixzTAwTVe0XdN4iiziJzR6o3Ls4+8QmPZeySr7KtMBnnZGHDtIWFqwNkPu7rPURA21GT7/mq7Jy6tClA7rHVgGvO93Dlqtfz0QEsQEezgeU4eE7Vu1+9bK/Orr+KHYZnaSF3wcfU0FAShgEjvj1ILCMy8qPUCV4J72xUPCJJSyf6qHZoIyOQbZQuBwb6zjpMkELaDPFXmOL1vMzFXr+SH2ImBpfsP2Cxi55uAs5E/BaCMAkOlH8U8TqcnMgrTsqg4PRQ8XBnrvhFnXX5oZoe+byVjlklM/HBhsSLSpZ9EfyE4R0izChQJen0PmROCXxO6D7oyr+1xiBCakOCnGXjcOKUbQLVtoD+uiettvnsId8g+PvQ0AnzNKzdobzdyqbydMSxYsSd/PX4m4ZPdqpO92LVk9F6LL9B+2x+CiDd608iBniqQI4UKuMDide1yG+UtQznt+gi162wbLJW1cqg4sn2wSbgYPLwFQ4RjdGehmezguSyudBiQuhmksH800HXVspQuiXoq+LdCj2f2mV+N+aXmR2/uTLHYeX4xi4/F/gG+ymCgEoSYPTrdxisns/daMEeLmKlT55ciwvjC+rMrNFLL3lDoBdudaOznp7EpZaaztBl2FbotRVZX+iyOPnRxbde4z59vaUIQaeLli7Uo5D5XqYz50Is96/ZNv9UVH3n5bmzAClyW3edld7P6Rr2lMypWqiAXBXJ5uo/Oy9CffO8mQDwfmUOmX4AKWeh2e2yhfEGQV45KCKn5uc56QkVIkNaAS9PxPPgHvxpf77yZ6Tui6zDxn7AafD6/DR9mgvX9okcp4duPHn+QCRBU92M5QBAzKR4Nv9KIYdabvWWIiaCTO/b6gtoxquP1F7Tw6lS6uW6EcviTEr2d4PoPwouE8mVSKBeQ+VznFT6GgYpiYxCsCHxfIXNM5i1GOeSrefdtZ02VCB8muteE6ZP85XBm6I78AjPqXa24WnxFYVDIbHHgbLIqqPBYO63K1BmTMFPlVqsRDT2L/YqQuHwDS9EnxumDwymLMot0CEO9yYURKsgoRWVi1KvszQQf5KdOsb8LmZhlC/DzR63aBw2XEEEnFRdNIlw0Hq77l6dZOSWkLjfy2SEpqKGYI2sookSLPeCRUBMQhIbCruTHQjjh5yMqYH8T6ckiisXvZjbAMmv5vHygDO39eEvfzD+E+23z2lvUq8qhlny4OcKDCRX3S7/s1B3jpg1xoB0y4RWOI2r7MlEJGW3lHprIaPvPx7cftjGQcN5k6XnRcGptv/YN/sjZCMjw0hLxQXIfFJf8Je0ipaCsLgi4voDxT88XJGPuOLrykXrwcj5THl73Y5IKqpgVQWCcbwUl4Ui50Qb33/NmgyaZSYApbQvbteabP2dpXqG3bSwfPnxPE6VHMEVm+ajtES3U5kCl5lveuYnu425X9BstmsFUz8hsCp6jslXHTwwULGHJv7T5oYssdEFbawchl7ezF7/3Mwu8l0U2CWfdHiEtDn5i0yAwvSAt63uelTnFp0pYIgda8llZCzZb/s8Yz0oNtDKdNnucmF809aeKErFKoDtzyWjxUtxsUM5roktcFz+2nKjJVhNmRUklul1xAIhlxOXV+rD1TWY11AIrklFaBaIHbNKkiKysZg0wd/Xx6DHVWe980DSlNPmTo8esX30Q7arEgJ7DcQKf86qZPl/Fh/2klehUtpwxNXz+YVd432ALI8gJCij1EJmm0Lm1yzGPFDncNTkyXugWSJ+8ascVIoklQteYoIcJUUOp+kF2GMlzphBK7FQt9PockG4qMr6Tz2CQiWev0IyTKEoeYcm+8YNWwQIJw6TD27K0oqhRSkCsD+ZDbS+wqw/CJyY3ga9HYY0WIhha20Ds6sta3nXl9aTy0aGHuFyUG4eOftvThy6h4L8keRmPtGZJT+dM2K+5FP04H4ZxcTHQnCTTMGWyaX+oOarUDP2gnj4OLpnSYdxUrj4ezg330GkTP6y7XGLZuQcKPHTG1VGILOkV4zg+/mSv4ZdcLz3qCPZLR2+hvmkSuXji0Sb+GkVJLrWbo4NllrLVOrmarEtLn48ZRUjPYf7Jw8USepq3pZ0UsAf1NloaMJ0ZIEXgHmWsZX7SOL8q1t5yvdJ5aFskhX5fDwtI6PhNlOdmftUaXxuken7NPTSwhNRTnRnaL54MF8fKid5ok5ZAe6p/28+NfTckIifQJ/arsKcmbPLrsoD38vDmEUWn5YLFagORThe+4fdOKZKToes+VkDUGQeuEf9gxwiyJioyddrxWw4kfVDULlZUwifurLYv4QIW9idQUfmBZKmG1YuULinQt3g9hsLpR3aev2XJP23eoDjUbrOAOlWN+Dw954+er29/3oz/nPro7N2wjr0k8yfp90T/j0Sfnp3NOs7qbchSP9HyBAzF/OVOjyCj3lZgPPQ1JxH8oegTAkpEWMvtyVGVtCKzR5yNn3sh4RfFdHZz4l/D2jFsWxGf3SXeXDlPxXEEXtZAzfaYjF0uLoWzJRfHRicKy/CzrfhBcj0rad/IJiDSfnmUu6jvDTg4qPFAEazIT/qLnDB3SVeQqLgMo5L6x81CmPm3pUd0cqYSpnSH2UkEEg9ENinURcnqM3AJ32AmrpRphihS/EQxVaPXlN7E03lsZ+BKqWWyr6Ph9nbG11D5GmAmv78s9IUMgU/aLaVQUQ/AyTt928z8Omzn2p1+nDc5+V03O4gUiWnlp5g/VPMbgEVUZs2ote96/msXYaeYJ6sWg11BDye0qJuPzWNkMCQjAfRTgyXjjW0EIKaXIDr7wsOYMrzKNJHFtaeii5hZx0LqQF95DDnmYZZR8FdACmxMI2qFlTfT2WgaA6R4SP+QRiJwJIdFt1eFmOem0owHRfomJoRAS2JyiGlu3z3CUiHOjlb6xCa2Pc9mvRqaNhbVl4GMObURFrvgG6LZYLObAGEyMumEy7e9uKYGP4gG2DX2bhrGcA6NQcF7f/SFISTYhN58wlR/00iEMCSxfK4PmXmgn24cFFYneZHfL2/E3ohocVilx1BR2uzmi5ma4ANKUOTsxJy/mB87+/0R6igMhPnKSVsQitV+jpYXmbq2VCx95SomgZuWpl81O40c4cPhEE45ZPzc29v9kWdYx7ZqSE587IF4kTWe9YSHG9l46HVT9xH6yzEP8qknzddxgg8uyR8OuWZQ76RyFUcbGOX0csK5rQ0XscImeAj1wr1mPU9l6rx09uu//Mz93cj7QH+9XWfsdUfk047Tu4hHgKXX/7uRuClfqoK1jYcZsaI4W96t9e8DJdJpqmjiJ04NosKvW+aiwscjcSOa1KKpPT88/RB0Esp2YiviGPtOKfiQgAW1DG1Aahg3RdGqdgW30Fn91HD40x8GB3ja2ASuDVJfTZfOoRzDRWIt7rNPxCpSz1JmhF9qI5z0u8mRKsyZpqIgGU1itunYwpnExRvCeLvX1C5YBSm/C+rk/8Z0mIrdUGq8ZFVsSRAq+MH9he81jSYX4SA7HUE+RyqSJ5Q3s89P+VnH2UblJPPydTNPGlpFURyTkv12atJSoLXmLxdNFgGhMIaCCyljVeIPpgpyzP3fZbUxP4kQWScGmx99UYy3FfyCTiqJqKa7RXXzCiQm+WJPtloJV219z9IdJu4czutHtO8MjyP3KseKeN7Miui/VWMi2Ge54jTjW0PA6wi2MbWjAyKDSB/Wvze4yRaCpEov0O2GfWN/xc+d9ppPl1u/WXzaGyfFKOYFrnISFmR/PakbSU17bp5WjZ0NoJEuJwiLqsqFP/+uFi7yzNjkuupKqLyzVI9m010x/5nahekLcaGSXTi0DLvXpXAAtkhfp18VNF5l2qgLjPM0TPbwi9D9i1HdhTX+UFAplNNnJMWrqhAi0fl9ggwqE09fh7qjvQFiTWyAqAm2XzrFeoHMBVcyOwKxodtfg6GUKOuhTH1ftL8ELyrl3+kofOsvYQJ/h4sfVJ51mFf8JZzgVl5veZYh4P88JYIYgetwqj7akf2mcFI/CXcZVNtf6qXifbURuQfPGN8VMIhEXfPUMtqV/bK6gZESv9fWGlSdlYEMixzVyq7EGqY0crykUtE6jnx3KqUFb8LqH0FTvCAlsMxKzv3LjO7zwahnwvDnZUVIzNcQGXwNKnmFBWfbzNB4QV+sqaC2jK5In7FufHpUCBG5Zsn/r53y/ofCcRywFSJy1mWWPTLuyB5lhEO2SzgR7uSsyuayko6zy+FEtpCZ7Xhbx8mdkcObzt4lKlv4fv6H72+f1+f5A54fnh8eIxcMtX2Y7BmnNhJJAqo6mKlx18xmY743m7qrCpGbJ0reWm5Vh3UZEsYzIYFamk+IFky8XbaWJIEv6qIBwH3G2rj9QtCFyXZSvdv1yfqMyyhjc+P7StY4ddXVEP4/sxgO+9vP3gtGHrT2vClSVR5hNg1SoY1uUDrnq+4gd/KF69cBw7CBEB5XhIbu5zs8KZqxm95xXYAMbBjX2dX13jw8fcd8ZcC2q0Lv0xX1jC7ffYnD6p65erYOTw4/DM0W/WFExysK3890cZFGKAWWsZ8ib9SaxFO5unXR8stIBvCkSswl3Phb7t2DxDos6/NEtM/GP+aT46yPqMrnCfEwDVdeewdCqsOvwj8ENM3YJExJds44yLg8SYmZBmlZFOClSt+mRbQ9u/uw2FoBbNhYupfmUeXrFtqk0JTUQBj1U16CFz/k5Wa/4YIq309yz3BtVjyMsqmHnuzcjTXExngwZnHa/wMRh8C/+PtImkeqqyvE0X8LnogJzBG8HBciwYMct/TQLHy9s71Q+pmIluacCOb+KBHS5oMFgneirgzIGsgLYuSs2PoEJtJxbWnJanvHPeC6Zw0SpsJ0nmXSdknJerDbsbIMre6KOIIRX+kHV4NicZZo1b8DgBVIwDjK7Szi47Dt9r/8fwT4PJ100yzVBWS0y8HnpmjHIwKE9C/zBEOcNqsLJZBGgCgiUCF4ZdsHoz1YV9TVqf2JNy2Y+dPaZKCtWZ3iHc4CFTru6pJ5vVgOgn9UOSm9Qc3AQ3Wk9UNjo18stRGy9mH3vc4xjXBLCYfOUoSb3rvl71Yhs7TYZh38Ah8AwjcNHpt/34q/L8bXAplF5EBfYhAm3TovAfcsVnYo5/uSTZ4OaFkfwbBkuDwxo45c9QU1w6VldCE08JH2G6/HCMZZXGfYOwJnggwIn+lkb5CuWJKE84Sg9u/3blehzMPqs+agvjPN4texwc2yUqaXI7+rNcbu4OC50xm3pXtZRpujlaWLKQo7gkeiBQsCIp5pgXBP3I7zazLyauB0eaSsVNBgVD1ryBuVKDja4+vT/iShQYk71yvg/g0ekaElxyp9btqbb43Jj4VVtsGcC3CvOq26898RlQ1+nRYMP54gvX/ATO0OWTjhssuGd+mD2dvRdibajXllDN+Z0JNqb24g4b+0yqabub069wmfy3nqlM1FnI1+C/Z5+vC0mn6QQIKUCxu48u/zL/P/LonKotm0AbiPlmnfN+PMYrAmWzYtifPgAI/Z615nx4n3rwueaVcowsoMJgs4T3/svegv++W292HasuqG4wzI6Vd86EiKcIv1m39it/APkGxSyfaJtxBJNTAC+8VAzsGH7BbfLe6zInrVj1CXsJzcpfSwr2MSOmsXQc7cvnNlQXkflb4ne0HeyNb5MjfjFXFn/I/K5lJfkZS4PgZVknlVtvdiip5HSRhpHLb4iKNf4FpPtdjfdUW3za7z5fEfxo5RD9uy3G+2Okv63FB0ZW1qlUvXSVt0/5bWAR6YrmK7UkqKqMoUQzRNkSheqIFIXNmrrnUNshG9jpTJdlwU6GHfMN7/0mYgTAXP8ip9lfLQFykz6ziWmgobnBVt8dF/vI9I+JCC7B+fD/5Jwflarw583mU2nlW62NTohf34LudBX6WWu7LeutgGwD1YcfkkU3EKinudagxKqjc+4J0rrfVjUQZwikruh6JObpbJBgoe1gTotS3wcdB1ffLM9ipQM+Oh25qws5pk3JTVX4i8NrRphr5JbFw/oMu61mxg2zlYK/KufnZpSN8Vabgrafrv9b0+KRXRhnwOFNOLiVtDmD9YSgfYe2b0d2rlYD6hgCMqehgx78wmorR9EvcjkFTAAO5xlN7T33x8q9ayFN1+aN3GzJL2zBFm4vCntpKo97iQhc5d1xR3VZjn4DWtXWec1fl05cinQOa5juE4CV+b8M2T03MkvZy+g9OqyepGEWEvyM2RuaNaGN8VdgiPwCC7usMxfoy/7ZW/g8kGDVk2WPi+1x4aTP+b75mTgHk4Ut0DbvwFpXs0rvKAMPpvZ+pyZ1adSbzqrezBonR8pNEY+ic859329VpzMAdCbO7Vpb3C6pKleJSJTOEaa+T4LoLHT98udUQb+Pytgl5GVLGLUHdCrak9z/Xl1VDPwsPOOl0xXCA00Skxvt7A9D7Ed+y6eE2IXoFKe4RveLWo/8BSzfpq/u/9JYeYjdDXRijDY4lqHWjxICwiFZGwcW/mqov7USXIn1oukvKQMCBCx286djU+L+RvqN5mX1E7Xlhv1j8kl4YJS5W5VNGq0jy4faNfY2tw6D9HKBCil1+bfJW4S/O9dmo8jyiVHx1sngIOmEcHyFmAgt9osk0oimkYSJJ5ZxRPuiG6yeGwfAOkWJ414kKWpb9kEL+8/szX/6vDjsVS/BHNP+09pfWB6QnZzSa7Co5R6jYj5oIxv+dyfAhz1v/sGHEkq4maAkg8fdnlFI7rKau9LZOWALMcA+EFAQNBIRk5RivCNEv8UNLtokU30VhedMJ0QHIhzQX2xajrlEHPMt2f1PEs1yqEy6GJZVGKr+0srWJsJH4lpYmihnptmXkUesX2jooH56LwtRr8z6OIHi/fk9AQG1Hpn1Ff2TJ5R0tpa2qnKo46DApHn+ZxPmZxlldn9VzQcakl+SEgrEyYqbIHv35w3WQKFfcS6aXddDabVx88dhMYqKnKaFmovLbcl6m41vxrx1lr3vlCo+Q+U7Gvl6wiEi7K3iThIP8t5XwGOu+OLC83ZyjqxSXrn1a+DblUocTaFmdULImsTkR5VY5JDaTJ3QqyPT0NYLIvmDVCj1d3xvNO7FflGI5t1iTTO8oTsSizxnkTCnvQw+cqa6B0OYRnnh478CkGOVVJve/0kMoUmpNS8edFfoivC4y/UXrCr3JDZk9mRtrrA+Qb/eYjytQ1fnt7/SF78jtLay6Q9c/VxoJhAF8GQi3TeqPvFcjijUT9GYwK1ApbGkzducOvHTcdvouYOYo+Jd+FPFPllyqw3fyVdGbfPGG3qEm50GpKeprJEm5TVmLfq9Yjbl2Q1/GW5iMnlSrktjTpnbWuyYA4Ia45ysmDydfKf4Y5kJTZ+1/9VdI0GRK7qLmLJCJ2ruXyBwzjOxZ5k0ORV2DtmacJxJRWabcRo8kedu0z6JxBvbJU/oM26hZmxdiPlmv9rzRCtkTW2Amaxc8tj01h1a72suqCXByVik8xjrZcNlr8jV4zrU8mV8Sft3JbgL9fU3vzmTS9aSJPYEsOagQ6DfT3lYizU4Fvr9wMsnDJ81Hre/L6WGWrJFHDyFg9cfyqonFFvIEWN9WQX6HORmo+rdNKe1tI+9WzpeFClEaI9BoZJb1xmzOfJiwky1T5yVxVuhxLp909SinXEosEwuKl3Xa5AzGn0Ht7nA7vivCrYJVlxoL7p7YHl2fKljM5JXb0lFYv/Vldf0qYjMsKE2/1LKRa6iNZ+WB8+dYnEbeP78mlpyw1gjxuOB6Yp2Rx2ES/f76jsWXWUS8fPV1tdnAgnoQFN5G/6RUD25FaUbwI2qstWoV370Y6LVJm0K34aOZWZ249d6npNOxGN51UU5+rVHxL+q000hOWyHsfxnWvpU1LQo/zoIMv7sABwiplwOe3BemEsmamkmUs7dzMQsYAElLE7mTImfh3ETPHrRliAH5m1yyzk7Ge+8xfrmosW78LtLcwCNQ5EoyPLfuSCi6y9dQ3Rv1ls8uorohNnG3LrgBaDD8JVd2RBUx0s6+xg2/hgh4CXAJqtKW0n4hBxP1tKU93gG1DF0ob0DasbkEuMUaagzGt3hmw290U0IZnSAMmetXgYvM1OMfKPyyJ2T+6EMoDOMZy2nkZFfibSd4iS0Mz82q5Y51hoqcCqY96OjcLAoXR+GxRRX5o79Hk9qhJD4oA5X+foRERT8I0G5d1HLg7ikoGR8bENg+1f16a7IbaYlcWTRDZkAq8VUwTxbPjzHvy8uYPIxB/kiKDowAOTkPct3c4n5XPj74ox3QPhpfm04XGtQJCxsN0lJ4Nn6SCk6+LyMnChknLPFnMEAQhiWXt6SQdlkcTxs33F5LxiyU3IfQcvup0w+SBd/yJR6300+OY46kTwyt0Nz59xlxd2335WhjwtlUf3E5VE7I1lC5VI7pPu/e9CyNNRhftYOISvjq1Gyk0Ug1nRv/SDCTweLbG6yrE62qgegArvSkvJfr6Tff2hR1QUgnP/O0UUyXiNlQvTq1uWul5+6+RmyX+HgSTuuzPAoBhV9gkz+xTBh5H6aGyYaM3Ioc4x3E1NWPB2urUKeAud7rAYi2qEUPeeODKxTNZl6SHca6wbC915fpDndoaKu4W9PWxfunQnyt2VVWh2L8aCw/i3VKLhkEfQgN155K5ALH+R5Gdu4bjnBDoxCNzC8GIm+Irj2BQJ4/52hdAXE/3PXMY0+i0YAcoa9pQQjMjJIgjvfcsrG6pfkw4slWmLiIo/svlZ/YpZqu9cM3FulEzi707X7SYGIbYhNPFgZpClvq7Yzpbve/+U0d/sB2dWzn5wz1qPh/KEfwcGlNBPSO0jLkwMugdWz3h8XQ5bHBah8JegP6fsP1P8F8hcPfxdHse6O/r9hzJ9n8ewcflDQplbmRzdHJlYW0KZW5kb2JqCjE3MyAwIG9iago8PAovTGVuZ3RoIDkyMTAKL0ZpbHRlciAvRmxhdGVEZWNvZGUKL0xlbmd0aDEgMTA1MAovTGVuZ3RoMiA4NDk0Ci9MZW5ndGgzIDUzMgo+PgpzdHJlYW0NCnja7ZRVVFxbt6AhQHB3rwTXwgqCQ3B31wIKKKSAwjVYSHB3gru7uwYNrkGCSxIkEIKFyzl/98kY5/Z96rceXfulvjnnWvuba461GV7IOsHctL2dIdwc3JxcQgB5FTlDKWk2VaijhburFhimzPHaycEK8JQDYTMwSMEhYDeoE0wa7AYRArwCvgJy8WMzAKScnL3hUBtbN0AZDxcXL0DS2dkB8hR1dHZ3g8DZAQowS04AGGYFgLq5AhyglhCYqxPclR0AdnAA/L3OFQCHuELgHhArTmxuboAV1NINYAGxgcKwgX/5KcCsnQCC/wlbuTv/75QHBO76JANg/suO5WkLsJUTzMEbYAWxflrn7uCgCnaEAJj/0wvgqRlXgDLgr3b+Wy3YEerg/X+o/nehHuTvLpm1YGBnLVsnt3/noa6yUC+IlTrUzdIWYA12cIX8J64Ds4LAHaAwiLqTK/SvAwRwcINA/8pp20It7WEQV1cAv+DfKcjTif1L9Okw/tYE/g9z+rtKHQz9z0wBXH+W/c3cf1gF7AaHegGMuDi5uLi5AH8///w1+dd7ZWCWTlZQmA2AB8QPAMPhYO+nKu4nAgF8uQHQpw68ABCvp56BnDAnt6clgKfJ+wOsneDYf82LGwCU/CvyN/AAgLL/AC8AqPYP8AGAWv8ACADU/gf4AUDwPyAAAFr+A68AQKt/QBAAhPwDT50Arf/Qk4PNH3qSgP6hJwuHP/Sk4fiHnjxgf+hJxOkPPZnA/9CTiusfenJx+9Pzk4v7H3py8fhDTy7ef+jJ5WnuYFfbv0P/ffyvXzt5AXw5uAV4ARy8XAJPbT5dOEE+Qf//aWRabk83Dwy3+ifwlMawdIfDITC3v2/U0+uw/xdbQ5/uLQTiBbHEXll0shQOtUvLTHerJc0ZnpDW71Buy+ZHc2b3CqazKf8VZxAWa3nDg2qFYb+w+kIunDBLgeZZge+PMCcWq8PFuPnoHAdF0346nV8EINcg+pAt+5SIQyUzQFlw7r6elTuIJLUiCpYrATLWeX2RulRQw1yReIzqsrXg2INwPZZ1dJfTv/W1Fht54erHhVKar7ajhVsqhZz/d4JBWbq+wM61fHy4hQfeoKs1z0whVMzbJUt4UPSKFzWuiGNS+VKnsp/wZ91gO3289xr/MwbdILAOK4ktpxA/cs/ABz1K2lgyAaNT6guPRa/Q9WcUzBJDCTQBmIiO90NspNx3Z2m3EuKS87Q4OA5S5G/7S+T8oxrI7J+bXwq2kVpV3v6WM9D3+jZ2j5NOmbd5y7yhwn+jy5/bSpZOinP8tUsWs2g2d5GPjkJYI2xi/5bsgMikw0olJ2YAJ+bK+546Rekmhi4R3ij++WeG5LPPToaTwLxo6Sujs/DNcYWUiyaxRuTk963AQVOEpJifxz2EYw7GHnhDdgJbbAkQ5fCC/m4QhMrxk2euV3OZX3JDvJE67U86/32xbELdUEPDrgUu191zNBSEV2/rZ3aGYToDwUYLmWJfXVFIcOlysxryxfm0B5c+3kF/fPi9lihF8CpdZmnbX2W85vnr1uNdppL15mOjs4p6PmbfI/8WWjjJnGgBcJxFmUhVmX44qrPXcDratuuCsHclt8390OzIqi6idfzopvSVa0NUhBptdVbOqECqmsgYlSDQF+pwX11WqddrvsJRvZOcjpXJF04aBFIzcBiLpFm0O66Na+B/trrR+vjqxug63DZniQlwQJ4a8sq/znJhzSSiV0bQ8uI0fxI4Z2IAsrXNaHqTdaUAeByOsvuBkg+QXm8sH/71tl/nq2bYe/O+fTD5WbHIfph+0819gcBLSvkTYaqzHn5hYej9N2TUPrsJ16S66RK1mvsz3gLKtfoIIDszVlD6Q06Z9chUStOF3lI1+Yj+p1pPYbkwpFOF6LzRbvyFSSOjvufhH5lE28NcUJyHivRa6l4YrlAIGBqm8qFGUOAn46XSOYjwmvsqk/J4fINflKWCtLVFOBdF6UcQTOt8J97G0qOU/3g0Wu9hf9Z+0UbZsIjvzodDXb+LPCtap0XdP8y1g6kUERwPNXlb5wQXR84AV21csPB/kcpuBqGp+XCE8L4MyelgHsVJNXxf5e52KbMRSOnZHJ7w6jEK2fP3VOogp6SNa8iNn5LOrxdzLwrqNZ3KZS2atnR2Yz+sS+XcYC8FMl0USv8I24cWpGWrnvfxy8mz4mantxHVMF4LtfiIamVxDBvjtRpIlX/FDD8abJXQ7igI8JoAbQr6LQ0ZPmqI8rV/70DuUxBF28/dokxXl4Z0tJOYXOngFTp1GHRNhlehRx0aULWExz2+5fKXVh5OuPSelyw2aQxA29ir9qbwFSU5ij3v5Z7f3yrKuWT4on9ynHbDJqAXwRV8wD5sqd9B56/ceIIkPo1boh2SP7aSudHBt3YdKxcd0cuZXhGCddugXRZasUCUZbRReaKkuud9l1lLMXGmQNf09fRFscfMpBRtbXTau6ISvcsfKOjo4ysi9Kytn2HvVL+XNTB27fsY3Sa8zA/2q+mv8Y9bJ+t04mQ1mMbpTW6GQ7n1WUeUsAQLADap6nkosnYSQeVBQNdia/F3OVGSwvcpQfXHGoeLzSLt5P6Vz2w8G4kSkbXZVSNTQvmVt0ocgnnIB4rgoN8wUHEzNFSfTHWlTWZgIk8jsp8JUstKWV/xFkJBvbmEsAf8rKVFk5ZHjkmQmMzkpId9sOSgTGr/tviHWXv/cHsR7ZLjTb0NxL6vsSvqkXuWbj96LwbA+Sm9A9P70lwGmIfMEFhpr6ZuSgMSycJpeL5wTSV/hpfMUskDszCIvjAwLPA+fp32iqI1vHY3bSVDSJinl8SLqF7PpN4QdZ8xridZ1FGXSugHovWWI3DekQh8KcduJdfCCx5NM8RgIX4Zil7GS9EagNE0mz5QVkMS50LI24pDgg3n88vntFCzM3qtIvGAb4fC5W7zXhR/LjksaHzqVhN0NKtgkdeYVlmYuGq+H1gIeqAT8YZmvaAuqusm7muiQi/MRX3kDMa+ASDr65a53gOdz0+wdBTMAJsFja2BKf4lKTlzhly+NbnbJx5nLU7um2uCx1uMLxxq7wZ6LAlFDZcLQkjfTCdmXor3+02+n7eqmZqhQt0gTMbhxNlDF9Xdgkx9tCNhbV1/p8rk7hmy5o3BzjzjkdBMJB0rifcB9LgdZWZBK8nQOcrsZi7SRFW5LrAY5RCuKM7WjEKP870hfza0Teo5PE4oeah6uXLpVwWxrED8zt6XphVZg9m2FxSP3AQqemmob65FgnO6C0MQlCdhPubk66qx+kj4z8FyXSaBRClUN96pcNmVB5SkVxf6mJXHUrs66MlWB4pU2vlxb+8IhF/z5jpkJQQg3VmYJQxpfWDG8a9v86hN1aQzU/DK9dL7OvrQXgxp+k2cqiA3CgMLEEnSg2yqbR3j0SaE7aPDgmxFTK2TgoJJ0+SqavEBEOWA3U2rvHA5YZRIFzWEnll8dCD75Lr2iZsgUfRPkR/HkqqfgALc9Kjq72MNV8jEtbBJlKGPFNs5hvY2X9LOP5O+sl63tijbhgtQdUh2Gc6yt5CSi6kCHW+r2V3co1OniEZK5ZpM0b9wbtRyNc1wzMGCdTMY4UjRrdl7DWd65BgekMbTGeHYt9Pj7nrV/i8dzlmPLiGmefc7vIgXppLiHplIORTDRiDHLcOxndIS4IjHKsfpnvKnfjFLNdvAheg2eVONL6ydzCUmZ9gjUfx7QR6mKnQ3uGGenuttX9EoMB+6f6fo7cwoGzraOwqgUPE8TCLEU8mFAJ1k1mSqK5HHCeVowONxhlgvC/UdqbcnIwut8PozSyhPDIKR0tBUYF+/8xvYR0kGmeq0+AgVeDuXFvV45Yka+nbUC8u2ryvLA4wvb1tNb2VohuQa+t280WntGlSv9fAjsBf3BwniE+cLNob8g3MKTPSOs8nUTMPbI30bltO36bi+B4Y4lN0Kpb2zfosW3n9C3Wi9s9aVkM81/PZ69TCf2nE9BbY/h7/4G34pFdFQPzB8wIbwc7TeJwrD7tvi7a4jTEswSdRw6oPuCSSox0P0S1V7i+9RHvdLNpcxkz4f1muuFWXrINoXqcL45VbH1itR0QQUtbonhW8/GopeS2AKoBIcJTOsJoYXhVdgBck0EpaG1A/cgez7unDQnFc/ZxPPhjQ07l4MbLVjiGoG8LnDalVpJrzLpyTIDD49Zrn3u2CvVZscu+k8/3baGXrAFqPZkEzGcbF41rIRjpX+8h120suXqhKaGZXCIi12SQOMekLArftOUc2BSuvgmMBxlu5uRU58hbkJCrZ3Urj521QOTqFJFpY5A9EUo2NHON9wSXZzTO47gr4SBbGK+bZs25kb8LcQ5kpYmLiICdYzIJrgWBPT94dQef6Iuv6mbVUdlDeYie6Jy+X4KIlCjZXBqwI/ANR5sk8zbJtMWAeshJB6xg5yhZVD4ZWyt8ivNAYFbA3Ee3Dd5J1NXI5lT5nE6FDihUkuS1hH3/eE4b9HHI2PxtkRZkT2Ezug5VA3qHeIyFR/9TFe3uC8bjLR6BiCDjv6bRpHB2IxRg79orrRu1IZp1jWsC9+m10dOaBB89Zfzo8cI2rcbp6ZYTEZMJEun6298ItCh3BjmeUxlt9TSDDuk8QLr+VD5/1hP8dwoo1c6FxBPntwG6jebvvXx7wM3J863A/AX/Jl26N4MeeNK40g3y4telVtp40Mk3Pdm2ebtpRKVXVYCVDeIJICPBQm/5IKYj6plxI8ZBYRPbKMYWDOTunCnyI/TzrCtYBZwXNVIbYPkzRawvc51wBdggd98s20vKSqlI6sWQTdRHpsIefjW8TvRu6bX9/K22zeRCFx1XMtvBARz9e0nJzaPosTE6T5xI20WsumRkxlwLAGk1SAt5kT9pDsfM9A2hymtUmaLlQcHG83I29rJ4levP9YxchefBCVxSTBmlE/6w0LH0VOwDnKwLMzidMWKZlWzUM7DA3f4964tFBbnT7sG3+3h6yIG1X+tlRV83d/BBZES2HSiFeqNkb7sm7wdrewN7FZKuyD88gZ2dhHIlE58aw6Ve1m2XqX/guyEaSSCiOitj6A5evlShTK1J/aY91lzZz6llOUvjzXhCfUGCt9zTyuyn3zWBSaO+jShEcTghq19zpnaOYrk/ujdhpz07wpGdejGWO6LAOR7t9sklI7p6zreCFYC2FOfr+VvA29ieXs+AnULqlg2Abo9c/NEL+pS4MmL+Kw2Sip1Q/HXZRdKz1DHH2IJAWwF9JfiL+ooz3vNeQkIuDQNXl5q7NguFh5zoLhgar9kE4ENOW3M3t+QSESW31GcTXe7eNkIzcOPnwr/YnvYmEsv5Emg0l6dhA+Z//91RIEzi9EYkbi22cxKNf1C4eNXi8+seDZ3iwsLYNc+jEphGOszmRZquCVNvhnaAyzo0FWFO4KY/VOhiNGUdDaqpLc/K/ncXF+xm+s6qvuaxXXDye00X/r6FJX8psbs55RkD387DbEyvpFVSAFFtdpQtSQWdr0JL+wA1dTU/i3z7kizy4jJ3riTjiDX0r2a8XPI1TCV33559YjvRj0FL/eM8Judz85ZGgOkbxBTX3Y0xueiKPsn5Vh4gJ+jWVAKhOIpCPvOrpnGsKqnB+EoQ+FS0aolUQlNWs7jsnQcCiTtfCftLYvCH2AhMRMeeKX3FIRGhIYN9NnWjrXnHjYf6JIWWSQh9qdxndn+fAGna+/GRmq+wb6sMtEMsppiCxQw7nKJMj2jSMQ23KdGnvV7qPp4aQLK24Xpz1kVGAjMX+RaM1FNlZuj+FjhUv6dmy3zZT2mMLIfR8qV1Es/rwHXD01UOtSBN2O4LYBNBWnWtZo6FB4lkSaLItIMQAO0ZK6iEEzTuXjlUNJv4bWhLfIRYZjpqHGqwGnhppDP9Bm3TPMotCwua2VlH5vN/ZZMUmQ3vZQVI7vck+iqEaLaAysyh1JwPSZZbzcZ8f2UixEdpHqpSKPULmgjzVaJC3ac3MDJqjUSORYDo1GRJbsJGz09s9qfqBOQkOXtYr25O2z+d2tVh978DGn51exDkXDp6WQhdGcz8QpVM83Z3qaZ8Kd/Vx1U2pXnmnkqNMRbJUVwT/GodZInICq36QoCr9vWXW6HaKfiDuoevv9tA0ehWwkO294rSC3dNIQBddSv67NkiUyFiicWUsUm4hH5XjTnvdWVGBaVSe1HP7WWXbyrkrth8uNwIqfQ6o6TVHOEOZwABuaV6GM8YePKEPMx/l5PTDarUhzeoNhlV1rRo6yUwv6c+esNd4Is6+K/OczG6stVJ8GuPgEPTT3kwk69qWrtfipO0tSP/XeGQ5agsYI2JcA0OSHfiiSX2zc48DVidAbVlTgMJ8nAhWYYGyoUUOYwZLYRpC5dx6RAKmch7biNiCCuy+EnDChAXf0JVr/AqtdxAWzSif5ShjquELJhhVxHXljDqsZkOzj+FAVE2NztIkDV6XNRLpBf6jCyxJSFeZADBvmeTSQ8K1Y1pgn4WDZ4a9bBz55jLvDJpyFxMMiN1ejBP3NHlEkuRldTkvxqqZkxRwnZ7xLFbEe4py7kUfzzZ85bSo9aD2khN3+61AtIn2BAYNLsQlXfVA+tgR1tbYIzVL5pYjmtXxQmvQxF0PZ8XA2ZbNfK3TonfCshJyTJ4kwCC5Tm6PxXnIF70jySLdLvAFO/hCy4RFC1ZbKSALDtFA+vf2dSMizju14ZJoR2n8cFq+WVgQjucb2P7TmwcpQmdVwfkjrq2oRabZRgzGJt3/4TiCKR4infbecQnNAJIhTta2jxHpOn5H7qL44H05iliQwz9BtukA220r6sIAgcH4xcWXS5+j/PF0dCbEgwzR7+VB7hdcZsdNxvuVATHNxZXidaNb34PLm2sUUNjGxUeQny7iX0pz+S5tjdxEL59a4uY7jzM1Z1/fhjvZwea5i5sZq+F0rauYu2VwZM6r7zkMizvnOfQf/LFGvdIoC23voG9oUxdxLLuSbuUK1n65ti5K22CPHjyt4nzkHKAKRh2KJp+1rDZroq59DvyaNt8+HEImtZOQvjKB1hdSQayyxlNOE7V6UHksjWQdfn+1EOB1cGkc4uIfV6fl0G0y6TVX6d7dmLxoAz8uy5AZ1oyLPKTjkGCu/rUf1dUY5uI57qOHGkzLFR//+8TrrOe6btUKm4a4su9tUp0/68smbFKNMHI+luvOUSQPPtey+5G9s1JTSu1ibshHkN+JgvtThW2ZBcVNhfqw7YQzWSp28zRrHtf/gAk0MC3yo16YT0ME6vlsar87Uri88jq07gH/0OSbMjXPyFo5F8BEg8urXJL+rVpf9bVa+ZhDILT38qm6PlOJu4zvqW0dEIZln7kob+bgSGPvTJKlmM197mzV4UQM/9VEuAdVGa5uwiPjoHW1VFtnKwYJHGY4FSgj65kdrhJRnGeO0MhMBgie15UN68DTfvmmKeHoi17TfgqCTE8/5lSmuUVYTmNTJlcujKqJ42ZWcA2rlROy+D/Bik/TgUCa3J7XYNsosQgKcvCQSKuyEtZlRhKo/eS9UBxXelRl/fxl3n1Zn21Ph3yt+YQ99vmaOcVtT24PhwxAjx6uSpB6+rp9Nust6MxP6Kj/M1HSGUEpgIqgU9QMpv7zTRamHcJCV7kkncJWNdjwFtyvp7v7HvkYF+48mPmrOkM9MwoZmvyeYZ44kQ4LfRE6U6PKpYW1/chKgyo79qD7Sdm6rlW/AXr3pmaHsiOrlb6z+jidaMSbzKqyLvJrfsS+nbOsj7zN3UuMYZRXbRJtvpWadnPSBYecGVIpZEqgj8u0rR1PsMuMlDOjdnjmqa1KcPFdrkBRiGwJdqRUeFFzyi/heZmKZWJ1TQ3LnaQ//S6JiPp7X78Vk2qhW3bw9aleNa+XMO5A75U5HZhV69flJPx+7cRVbWyCF8RgvCBTkmSN+YbJBGEOrgZ8NC10hi3rQhtpkPOIrnB7rnILoQReztt+Rv28TOz5q8fRRj1S1vuYTx14U9X/vKkEunD3+s0Ei+84X5fI1B59O6DAyRDn/C4npsQjwS8UaeG/Bl5XIQkGHNRAXT9znJehDSCk4/5E9rkLdvhebbxybsnZAy9fBgaTBSMgtvwT4LKJMe4wAOmASYOfuQ1y7qHocWYPh0tMBeDFrTcjS+r5Xkvp7PLSYfg40fgXdCfSEhC0ieN9JLhTEANfJLPESr55lJcnH0lb6okxLfDWqmx0mi//RX0l+KChdWVBTqFsCf/oonrbvVJ5DMQBMocN5StK+/H03zYJE1wMa74KwM9v91jkpK4Jyds2FbW2u/DBIKkp6MPpIzSYmTME5qLmrEtbo0KjS8qQLHOQrCqTq/WepBapg9nMn0eOtxPHwaH/azmR/6EaSe2aEZHgqt4ZBkXwWbcYzXZ+0R5zAAGVtzx00Wnf1tqm1Tb/jXlom6cC4xxi9LnNP9S+RZzZ0XfHtYWn1NUP9TcZytb+vBG9CapAiX8ZauQLfP0PVyjSYF8zLE/NhnB4CI1McN9l3YpDtkZCyzymEiWP4JibnhNReuxFx7Vs6fap1IMNLvLZMzPgs1x+yrhGE7VsChbNsTXamAxSLqwijOGPfY0tnYTd016J/1t2Fqd48fUk/CHVvR97SbAUhNloW65Jx0TFAC4BbSKzXMva8qFlnXeL3OKUA+XkOLJbNgkOWWjnHsitHvYGKKftFZuQx7onDJs5YaGp8FsmyhnJh2aI038K1gTaS3XfjLC0cx4hQbwGVjyTFC8RsrrSvavmasG2YtPbD7boOIj9keFVP50pKfEHBeZRC+mTwalubSVKkQBuj6qa412hHITnTnVoKlBVsSjBiiz0QPfHMKbp3Txbs60br94XT+EKU/5oEMvX+9L0XZm/QpjWOW3yGMYc29kdUSUtbVxly/joHVORtTuoqCpqcY+3zPpaIjaV7h5OZ0eOXGodpRzkreG1gb3jqrzQjW7rO5Ji+TYPslJ531PRVJqQUsknSHctIAGtLhda6O0KmAA9ja5Rknwct99jx3HQLChtupB6pmiEtsavtbEhX9ctJ4CBH15hpk19QCEcSl6WtaGrdu4cTelPKfvYlKSkUSXk+gQd6lGB3bKzfTBN9VYhfyRO1t5/HdJUUMk+wNfGlkmUvfDFm3fHfpq1nFReJAVLgnR27xMnrEg00COTV4zH1Sd09Lm3za7oZY6aqCWZ2gDg3q5JrfSUCDiQndHsuVWg+c1rUid6thRBnSX8JpUgWpzwlEjrVXvisC/FjnhcrsvPtDNUgrHWgyZkwOUqoxWRcZnnjfBd6DbGOHu9W9sSn8HjdH+A7uAlcpGQlVwwcZz+c8RoZ63lOscjmR8Rw4IxYjLmk5NhI+nxtleZ5HidWlYydweDYS2lZ/9N0+hHxR0eIbcL1TRvE0o3ZqtQUO/QZ/rOFwBzGn4HmfNl4NDp75FTi5S3o2XfoU56Bhm7yNho42Y3O5p/ZR8a/027BnFx0pH9J5GtA8KfLSpjfyb5ztp7hCkBbfZD0zqxeZm1CobPXVnnrrNN6IoD6OvnSXB+9N67xi/ZxBrdozgoigZIg4pDt2HY2X7TX8Qfs52rU5uQIxctxZ1N6In3BwBc2YOwhWlqbfc5ObcMuEPGAzURxp5LdGTrl0b5fR0xEDUlIk8HGZ3aUyoBl0FrkHOQ5z3lQzoMhBC1+7r3n97KPvbh35QoR8M9M5srna1n43RrpN5vMc81oaBQKxKS6YvjTtKxk+67Olzg5GwTVVoqfzFsWNDH5bnFKgxrZC2ockssr81QQdtaErmNPDT5PE69bDIMWzvZI2l5jeDdHrFBIanG8JcjGj/hlYj56HCWDu26oSZp5OUPor7Kig0xqXJVbqrxEwdE5dP/1cpLFhXxhzDGIIJ+8k3bB7cAZ3pVbpikaY5srXB0czYe/SKiVcRKSncofF+DYWbGJ3lA04hmNDC2k27HP9RL9KsPPOGVUfCSuyVssrjZx5qlmxkNlK2P5YnSYMIE+1Ofo7YsZwove8EvXdlLZj2iy1PGYux9nozxy4uZTWZf4Zj9JCb0rZx9V9rQoO8nMH363iKgdKGGC5CHcbNfyVSN57Yi8XIVoD5dkH69HOUxwO5PzEo28YuxLqU0DiaiNZ3Iz/5ctqTnFCG4fbRgij6HITNdpxc/NBWcyspJu84M80zCs18iMjMLFPITnHOhzFG8axzvUi3Zau2WY0v2mFAStONxRVHy4qZ3k418PbqLIQZYpbclShgNW4zDjUDXixpFNMcoHjV3XTkangpVRkbldKTCzKEfPcugZlCN4K9ZDq0nuCfekOp12MYbD6y/OkFsJ9Dy83alAGvwI2wvsOmsniUhxL6Dli3G6y9lGgwdrK26iP4XdhZzOZTO/lLdeqy64p2La9ZiL3SWRDPo8eraruM+0e+GG0EiGrAlXJ7sSbJypk2cmowcdpygp3kq4tqS+XAuLY4DTJ4gjmIbuMFh9oyXljN04x0v055e6GraUBTHj+9Objp1xHrQMGdHdd3UUWDVY7TkHwl5W30m5rr/KgGpMKd0hfrvTticO0i6CCNi/h64bBAXxfV8Lx9Q8VqZ3OsLiDLHrQ/XWCXG9Ji7hop/+gISxQOFVelZ1dLY+QTKPRm8qgbdj4LC5kJpqKUNq3T1u0dLNg0Q7u7S+h/OYC5E57bNI+prOIXNWpaWViHlyKZ4mkbDB+zkLKgLh+xAQa/9Nh1iprHWMUa42obHy5FhNn2ljyU4scd9jl0BtBij6GsUfK8rAt1n2U/3oG5sT2HUJGB02zKHMyEGjEeHFV8opZSBcpx6R/+kqLhYpSqwzcireQ2/ghhfE+lK8pOJ1x5ddGXZ8g5VpDYxDG8wINrH1Hc1WAh/VLTNQ26GF4LpGq3rXR6KjFME6O0LEghwJFBj0m1UAYxgrzCmCQO5XV7JIvXr7UB6hiNUyrodbZtnEAPGJ3E0SBy6UHWn3Ej3KrbI1a/yqWK0bnpk0ShIkHtj+zm1UAtUfQIODRfcQSaozlkK/ByQktWRY9ubwjI/pOdD+RBarKxdaS0lkMP+DdnIaZSNWNFPc7sVzhczqgLtpf4mGVmnE86Ta6O/KDTg7EEt6v94x4QgTyX6M6/O6ENwfrwRS5QiD2rwiaZyUVbpSwpGVXK6bxmb7dMTq6TFvh+8lLMFsvx71utl0yJd03PuzXjPGWD0U7yRuBld2JGJarN0ZnfshXGxoCtc98uUrqM8l0E0qHZrJjOQLmec7PPQ4UGHyMt/s6AR5uHR8dqzXfLFCoIYedRQyp5f2mZtGUUF+lnQ7Prv127lQNl1BiHjYFa7fNiSjpsh0qexh15MLFxIK4GzizJFdQ2QuyaLrFD+3/6wNmjLD/+xp/EA2WifJdnkOzqUVs3bpRVu+kT3wEeNB/+mUAeAFP+QfuM4r71k2dqLpehyvxd3/NEADQvXdVYZQlmafD0seVg3YoA3feb0JFKFtZ1DOjqtRTM/u5TxnDJ0v/YauwtJryT3PTTgRKjeucs1Elz6/L+CoGplpKOKF+0MfEiN4xYJEBKj+cBX+nM8gbJcllRA/RdcjrgEVqRDUgedvUehTp1z3c0ULhcBD5Te3CuGHBv0bEw2EpKldhAHynHzkHjHz0V0mmmPV7VOS89JjGr7WxDDX8kfEVnDz0m9GOezBKrHX7svvGB8a57Z6Cd6JCv5kVSCMDYguZldF9m8TLdu3A94ZNNpqExI37KnMB4BlCvQfPf1R2xxg72cKxlbXIvzBrKMxi64jzBydgajw8zgMBcIE15rVwMaz8jM0oWpYkWpCzyDzm8eVIEoT3E6FuMOgveAXa/z9Ssr7CHq2hVoY6qwSHJWxMuCYgHUz55PZBS3NqoXy78jjm4LRODILoWToC2dNHAZuXarcqGbCSmm683cQnrB4P/dMZJUz+R73W0+i1o+aZbPtNbmbvmNX1Uvzepo8t1yKSKgsAvTxtEzklrj229xyInl45D/ES9sTcizCvHg8OmXdquN8NijDZs/rwptic1LNoxpfs5usMdHVWq0mX4VAocuESHs18xiih9wkCe7LIjh9vRj72OEQ2Q8NkuQsStcuwhm26RFKqW5W2/omS2QUWzl1uBF5uB7HpqYEbbmomwUm/hwi4T+rbsQLA/sPES8KvIpw+/ARmWmIvMSGLSKnJT+/o5+xNvD11a/Xq4f8bIWMopxOos+DS/2ZW3dy5qIyvhi8zyOnBks88xszj6PyoRk9js7moGPEiLZ+vBTeAx1VXmSFHS98t4+fwZWoPEDk+r/8Yf//Df6f2MDSAQKGuzk5guH22P8FqyENbQ0KZW5kc3RyZWFtCmVuZG9iagoxNzQgMCBvYmoKPDwKL0xlbmd0aCAxOTU5OAovRmlsdGVyIC9GbGF0ZURlY29kZQovTGVuZ3RoMSAxNjg2Ci9MZW5ndGgyIDE4NTU5Ci9MZW5ndGgzIDUzMgo+PgpzdHJlYW0NCnjadJdjeGTduq5j27Zt20nH6Nis2FbH7Njs2O50bLtj27Zxsr6998o+61znqj91P2PMmvcY7ztHVZETS9jZOqt62Jsy0zMzMPEQfdcSlVCUoRWVU5XmJvpM4MnJRR1NDZ0BdrZihs6mPERcjFyMTBzw5ESidvYejgBzC2eiUhYmJlYiYXt7a9PP1MbexdnUkY5I2taYgcjQ1oQI4OxEZA0wNrV1snN0oiMytLYm+uc6JyJHUydTR1dTEwZ4ZmYiE4CxM5GRqTnAFp7xX1LStmZ2RNz/FZu42P/PkKupo9OnDBHVpxz15ycYmtjZWnsQmZiafV7mYm0tb2hjSkT1j///M2xoA7D2+O8J/+1JJGdnYupo+59T1U3/WRmViq2hvYqFnfN/jks7G34uSdjW/HPJ9MxsDExs/5UDnCQA7qYmigBnYwsiM0NrJ9P/ytVsP+9iDbA1VbRzAvxrM4mY/mNA1QJgbGVr6uT03yOmnzv3H/qfm/KPPOP/VaR/xhQNAf9Vxv/53P8pKxHzF8sZOjsC3Im0mRiYmJiZiP55/fut7n/cTdzW2M4EYGtOxMLOQWTo6Gjo8TmL+ZPYibyYiQCf2u5Epu6fq2RksLVz/ryE6HM/fYjM7Bzh/1UtZiJGs3+if4jlkwD/JtZPsv43sRExOrjYfZbinx3/n5SdiNHe0NHU1trU7Cvk+O/w/57KScRobGdjY/jvgIuI0cLD3sLU9t8J9+eFnzewM/l38rloRidrQyeLr+RT2dPU0e4r+LS2szX94k9vZ7f/Nf5p7mzhaPq/Znxam9m5OH4FHP9auOv/mvEp6/RZg3/zp6st4H/fhPtfq7G2+3Jn+ZepqQ3gP9JPW+Ev+lQV+aJPUdEv+tQU+6JPRfEv+vST+KJPOakv+lST/qJPL5mvCn46ffuiTxe5L/p0kf+iTxeFL/p0UfyiTxflL/p0UfmiTxfVL/p0Uf+iTxeNr/75dPmqPduni9EXfboYf9Gny1cHsH26fO07279K90WfLuZf9Ony1Sdsny5fvcz26WL11bWfLl+dzf7pYvNFny5f9WP/dPlqJfZPF/sv+nRx+KJPl6+OYv9XA33Rp8v/emY+XVy+HpZPF9cv+nRx+6JPl68m5Ph08fiiTxfPf+j/PX5EROzcibzoPwtHz/K5Vmbmz83gZGfy+f+dHSrOn18Aho4m/w4+h2GMXRw/n2Hnfw72z1MO/r/ZDPB5lpqaupsawy/N2xnzBlmmZqQ512DmDIyJabTKNmdzQNnTuQeQmpc9xmqGxBg/sUCawFjNLRNLhqNmShOA5HvdhNhRmxzOx85G51jL6PWQqj2isDv9IAvctEqOOPymT1QakLuvbuLCjpFSHmWbK8SuoyZynbKQX01VnnAM6bA5Z9MJ9DCSefSS07N5WgMPNnd3c/0t1UvVxsg5BUfS5xylT4K0279tJQ/Z0cgVqc/JjOVvAUDAwyGTt4//jhUytpB+XPZWraIH9b62r4UszmOFA4T8+w9DNRoMCwYeDrDO3ix1XMIYLE7tCzzSK/rE7sjLfPA39PCbZFvkcqvFw1S7F/h7+LSf26oARXBiZFd5Q/ruDxdc2HaVI1Au8G0vO7jUfAeUwwSw6z6Kn42WKlyBu6agQLJGjugWTM+Y6zK2feAIyyVPvwYBbcjboNtMGWJRQj12XK8O0qi8NhH9Ftjr6Jas3LAY+JT5nWBn5jdelBx+PVp2/iz25LxYeONs2bbL/unqyCKueyShKa2mTRM3MxNyOMJ2tsbSK90DTlQUJtTSI6NoTDEhKlReW730mOCsx1xDRORqreL4AXWFaamn6Ktkso8bvHeNdXNMjxduOEhH11ZX5xxuCwD7Bwqbe1tUYSvcs44/ltQ2c2cstNbqdJentNTtIJG++8QfnLU8EeRt4Pwm6dMT30ZTZrZHsoaGA+ZjqJYfWbe9wi7R1Op22NvoxZrWjn0TOFqgA1To07wNXIMR797Wnv0KXq2lFfYp5xIAYvQtoLJdQKjIYHxTK86qv97oIPGw+T/g0cqQ9ZcUScGzsQ34gx/Eosx1ECAQFLBzIez5HsQl+hmGoxoxwD0OddlJycYwjEfErwutTZaicL/Rjsuxsp9wbKpz51xmalrB7xLbpSIZZ1yZYWwleW4VFNV5bcBpH95YHA9WUqdWiwQKQRm4Ljfmlb3XCq8gMIvLPdG4qnJnkmNPOTAB21nqWtdpYGf1VrEJmz1haK163X4/IBDu/Z6gtMpSWFSjaCOEUDHjAP4iRYQ4XlbtTsWz96NCAhemiA8KsRcnR5FWNeaQig/vSt58tsfND7jHEbFuhfs7s/0YzAtJgdNb+gz63ZsFpClY+VHzpBLWy2grqDKGiWPYLkg0+7c28aVL3ioP5lNBHVV4ClLyNLd1VpQkWz+SaVzESd6GFOEqUhN0TWRkypMsIjNZeEGs+z0ujbhMmmp//ni5l0am2kXnZ71aquBYnRr8bxt/sTP3S5AyfadPnjGY3sCOecJLxdFcOOdsarIQnF4lli6DXHlEw5BYd8UezHR1gmQEnAsYoBA7TAoPMmJxPCO+W+S6Dzgxo5il6/BI1aStiwb50bkODsjOSVTNhQ0ByU9y9GkCtmF+ZQF2x1VqQvQkfYcHiO2FaSeQpGft1PfjjgyFakWh85EqVbWuykVEJG+Cx1fHsO3C6RQH/SESeQO5qSuhA0bbkZGrTYTjCzm+twAMD9NvVgg/QuptaE9O9SiAVWabRrrgUqzMbEgQxbjCnigmVGohafRXzZJziyTUtq2l3wmO8vhMtvZ8XariwYVl3T0A57As2PH3fzMZULoDN7CGBIQecZdhMY9TUtMNMjV31srTndrQu552xoRBTM/MaFTiJVFVqVzPi5Ww2KDGJPPSK1QMmA8J862c00sS0rzfSPOEgDQZREQAaViPZMt3vsG07kTJEuakIGBVPq7qLgaO6Ze4ylwi7gJ6an98gymI0TpDo5r1lxXdiwudnec3mrPC5spGQsG7MBJ7hRrBnJtdymYmVyYFx1hPXNKoHu+um6lgCFoYDpYecmgCV0Hysqk2qz2SmaasJdFx/J2864ihUr1uVPj0jqTQiAdsDR5k1b6HE5s5zeONEksItyg/C/rVsdEKolZ3srE3o7AYRmLcjbPl8hZAXBopR+CQaazRojEbHnWxrwWUuf/J79fdWj69jpjGz4TsU8WfF1kYvdSMGXfViT+Z3OQ/miymE1XDFfJVRfypFqJw/jsMFp+4Trfbv1VdLg6sTTUfhI3zhLr7W+bd7iDkMBKTXLuJpK39xxwEJh7zUOcF3t8rmOVhaRuza1/dZ2dPTKOKhf2dznGM82/A+IE88xOpbZ2BIhN7CpO3Dcrpd7z9ilrwbRJxmbNjke5bh4zLbfD6l5YHIljIuzjVMaLefpvzKEnKbjaShwbzpdyKf3hiYqcRkhDnsbAanLG8K7oL8snPeSYaYmFmWDAR2FfjSp2CKB7UD49rQN9OkDAegEOxso6rE4TgHQh5aUsNL5yU8V5tkuSVkkEKpHIqnl+bj2N3jDcwt5Mk+YyVE8ZNBhYz4rrByB1eJF+G88Maukc5NUz2edXJAg9LhZX5ZoG/qYgJ6qTLjOF/q7jsbrn187N7TW0P/khmyEMQWz8VpoaXFFHg48VX9/8bQuMAys8k1CkGRaj7XePj2RHn2Y85oDgkoNur1j5xfS8krpFrDohU2/vixRSzpH0lCOUgyczdK2VmyP2DvuJDwvVAPtB4gJ/5tge6Sa1cgZIqFKwnLqtUgzWu5HsYa6cbUvlx9zCiQ+R1Z03xt/nn++pwTMIug8tfuBXxL0QVDycI00R22EMMbIq3r6e6DBu4QMuVepfChmfBLo8kDKgMUoNtkZKQ+LewfrmwxVTt+ZgKDenQJxL9ent/kC7AFsFgUVaLQ1yB2/cU3Ce8n8fQgNRykFdOFekdzM8lKuslxoTEEiF07pFYLx9BTbuIpJ/CoqwRIOEr1lN1f2Yu2iIrNlb6JJ8jghwQY1voP8rYG1p18xiVliOVmfNWC6x9POcQ1zzyeuvSHLq5CU4qUvu9K9+SE8IRgT/AWqMlRDdcu4ZNSG47rI5x2u4U9kV5hIK1qOULSn5P+/7hF1JO9zssAm89m682a3hg0i7zGykHGXrpNTCv8VBupB4kDEL2ZCdkl8cdytjmadMmUSZaZ8fYzIweQXBHs3f9KtKy8XO+13GxUpWZ1nZXUaViR4qj+segDzwH960woTBpK0DL27jzFBIML0B5jaqIRfWMfi2TgflNwo3A/WkMNTqw1drgxkX71ymAYMntJmTKLMlLxpYpbfC9dreHR+1c6x7m+04hADuRTnA8yhsG+AZGRMZkd5NlKH9K9Ifl2ywS78tkUJy8GFGd01+Z3neexQPD6LApgsg3Z2ZVt0qiVG9gLbAnI/QFLj17/avxs3Yi8lcQBX7Q4pqOPo+FQOeLfToYHHm+/b51u5n+Uz/IRvrnLO6SBALOx9oP6JJY9OqFP/tL1MZ5f1X8SEbfMiRwC7hrNE8nGO+eGj2nCLhzd+GQKM6IaI20amK54HFXfUALeew6/crPcWhAScMpAVwb1ACVm8ufilmqaApDPSvfV9Cfybh9NQdkQwhZzYYvg9lchpE04ClLaurO1BvV2JQdK5hO+zyZW9uASbs80DSFtPIR88pqhx8oU1fMptfJeXzj/OcS5vGTsYAI4gllGE6p8XzuFgcSMp0+zGdFCSCtjVhwwgNW58fn271q0bKJ35zH0YRVBh/nMqegShI3u5kU1wY68XhWPHXXv2mnLwLNWh1f8aBubZelbNVFsh8Hnb2aU3lpIZANGvg3wDcdiP9OzE9oRLNVSfXu6HiVc3ICr/LSUM9eP2fcfDuNOPAdxoGC6Dy95vSEHXcC/LW4bY15j9B/N4UMhYQjWeitBU11z+2vsPasdGW4yz6+elULHN0wXdkSTdzWvHo4eHObxdXxkVrMZbBsB96hpiB9EPjxYM7TYBaJm/uUmzg4WIcbaIO0taKTmsFUDs2cfHUimA/rhEYadclZltqK8sZS9cJjn+p1/9bET005bB0FPJpIDETRpV16UjW0PfS8m3ofgyBBRbqT3OovpSHUq8HixKBAndbSelhhIMQ47kiFfZZLWeiilJ/YH8ug/dRnRtKWzkhTKHiAlkq7clBMHrpv9pyUbR8xbr4ZZdUktMrfPPj79WBZH2y8YJXliMBKx+YyniaD00U64T1Wcn/IeWflxx/FCOch4pSwLKjDoLQJYNA/52YUFUw7HeYe184umpyxpkymqPqr4yur6e3anfBGKocJCj6Y8/xpYTK23FeU8+NPMtjGPxkqzrolkr+1TMB1YwqPwk6tE1zU9wvCONGuFIb+whWcTE+yanHZLE5UD7VokyBRfCL03tIuGfnh9oZa4c4OB0XDeimFH6962qqeJ09zXRbsG2XT30vS02NmvIPvex16wio9/w5se1IGVxux/7R3OlVBiDFSTvZ6Vi6MmdgO6ykFfENHejsXmSldfnJUG4yUhTlOX3fuEyLd+OPBd+EYEROdqWHiAMtSQgBIG/RuPiO4rWJKCnM7ny+ptD2/68d5Hxtwy4iGg9IIlWQg/8dFUkekhEMLwtYfOZPeba6fn/+78zapgJwLPmCP/ccPp0qTIv0wita52UZQDGZ+SqNszO6fTGLJ2ytcbTcoNLZ2Rp3pQsUUapmk7bg8ADEL3JlWh5RcqlVRhGyXLkICm4o2WbJOznBpZOzWUg735Sru1SVK9or8XIHgjfIsCqD30Dt41VErbMi/eUyFITMxadztFlB+n7barYFRg41e9+TkF5ToQH6zoPauOO23aq0l/gVuMDRcupk2251Q30BGTwgQCqQkB6h8f4R65XBCBmgSYZ9AMk9TE8ZpxdeyLKUX1RfA9vi/Byv5cAGKkqaT1jViCuBYpdMsvNtbBGNCvAfXziRzyj3YKBAUDgcXJ79J7BtdVh9qrcjehc7RVp/YcA2Fv6Cd3GiC3fVdidbGME0zlmVoeBk2b5J/kFdbB/L3tBG+zjVPOEjwqh6caYJqWNhEjvVT40lwTvommXMkuk6/k+aVC3nM647sx7TaStS3lYiw9oTIFyRT9L+dicRy+Jy0R6+pYlQ5Zi/oHy2S+RJ/lKYpk8SO3w1kdm9okfzx14BjPlpAL/ZoMMi26jK0u3Rf1Utjtcp1FY45Bz17UaxEOTmY5WCDGvomDBWJpZIcmizQRvqMsLo7H4GHKH8g3Tq74UQGLEpN+w6cwW/0Kg5VdD9psYrwDPE7nSlyoJQSrbdtBplZLEQVV8qtaW2NJUdfyK0TPuzsVuXqhQ9e5gqIJnuEbiColH2d+T2QZoqa5MTWLOKUQ1L2WLQEiqxe7+6esa1Xu9Z9IPnDxh2LPYbMv3YGhV/n9nTPovTb8pCbVKEWrokI/K82XQcHTa96UKlE0Tzqx6XKXlEA6sAwb0dEBXwHsDfs0cdoHIqJredoYZ6J6NOyTyv6Ng+Vd1q6SiKgGvt76nT1sH+wjqdFdLfxoo2fgPVJ8FMD12K5hXg/FuhQdsb5YE/RD1Of82P67GseXvE0nG9mCKOvQjPbfoUfCW418RyWEejUOzja+ZlhqGMNlyNgm3pLPedN+rWsDbCX39w2gGEpnlpWPQ7x3OaxhunOZVMP8ic92mYTxa41JB4Q0/EsfNNKjQ3ATeWK/GzuKETDi/esp4eN+anRkL6BRuk+ggyFB585i2YledZvezAv8FpOuAL7gj8hTEW2YQsF12gpzOFP/TLyH3OXjPQOZRvrhNIzdm2BMgfjJnkGE2ntN5gBNdRSfQmmeLEX4CBQRx8lGqnQKZCGerG80taHx0fEMtrYRrGFxey8chXWmOz7sUBGhQTQD7ZzGUA+E7s86B7mVy4F604ptFoeJ2dIM+6Q5yVpDmTJObwJaYv3B7i4ohFlP48RaWS9h0Jflq64GUKZ/4UF4y9qmPyRylGU+GsJgMPLgBtim5wa/3qLkwTf/ybgzZKE/WFss5yEzMdHfMbBpnKFPNu5OoVSC0CGUeOYcFbAI6aKtEWd1O3awqIuqXpHj7qK6fgutN27iSz5QvAXs2UlKQInaoE9MRPY2z3HkhP7rNiwDsp7nr2Oi3MrjOv3n8PcJexrY9ogadoM99ODmoKmdCBfPkq1Mxj+OiCjzsOmB2Iu7Lmns6g6ij0GGBn8Kz2kBR9f/olciue/I1IvZbZLBlzfJvdtS2KcI9+u1vpHJ0zjf5zrp0efZc4QUUUO4ty5hdt5Jb2m8I4G0XMJ/gloo4mabDIWQhXyMQIPksToQI4TO+yVVYBirN2gEXrD0LXg3bIq56Ep2V3H9UMmLu4EOiPl/hOJSUAInc82/MhTlGaDDP5ul77d5e7wo+ky11aLmvmK2aVuAjSyD7L7W/IEvgoKO2PTcssQWIjYLUJYl55mSjZmALQC8Fs6NtqdQ/8R/j0yLqyyZzKnt4db2STcJhaBtZs+02yuQRy2DUpXV22GlppoDixpY9XJrIsoBr+yDfilusOtQRemuJtsU2dtnyT+71Y21lXB6YDEdm0OecrbCpWf8yt9F50b5BQT1BUQAXPm2Y8xzGKSqNzvemGeWOR6+dwLrUSZddiTHHCFQsuoHZzdO5Yc/cp5/iAzGN4MsgZpx/dFA/tYT2ZBu1YIsvV0MEv2KX+lX9POa4qqDwQCfBQtL0hgqKoQev4+Ss5qyd4WYQ5pVAO5pBNIEW5SuhGsj184NccwYNoFVc1EfNuvh1PFk+Wckr1alNMiCyKKoEeTCbFYnpb7QzGhXzV73tzTEqr5mzAfoo5sV3w3O19Vs8nk7knLowbQcB44HQoLXlAWcWNMWvV7+CGhTNPhp46N1psnpyUiqfGDy1KYdju+yyYp3TQ1CZX7m4ZDnGLbqYpnZazX8+9YYqxrYoMMfq5zroS9gGBiss0WREok9L6GEbvN9ZT3+Ad7l6gH9Ess2qBE5KaPdHjnrgOCRuwngx7lI/2xYL8yJL0bQ/LAo4ftFFdXt7/t9OxxKqsy6Ls7p0Yo4VX8UMjBsrGXGRTHtiBJxfYjIu9TcGPrIMcNuanC7Zuo2wuXP9seXidGZ/dx3Jl0ug5ldX9t/aq6vxA3jFW09jbN0EN5uuXebJtJNmm2MFGUNGy+gOa2VSolXJt3UiOxGeerDCG71AhvSjOl2UgFrCD4OBJ3jLb7VpwC2/HZRlYJkIk/l2Nxd4G52x8WjpMSpurT5MhoezAAzwsY8MQdhcpB0LLxkKJSxDX9mLxzcZTqc450XVLCam5EH35gFjTNzBDORASOsuNTZ+++EKZ277QrYGRvHt/ecB2HDUXVbAIVBKo4SMmEft4OQfl+9QKL2f1YsJVYH0MwDW46O2f3qsvBgDLU75+/fSETsfZBjacTLFSYZS1QVFYE3yOhP4USte9n1UAtN5ywoSRWahIkWUQw4LP8W14CG264Os0RPFvzpTunjG401h9iyHJkjT6xYy8yRKPZj2dmcTP1F5zRZS9NWlR8JSUINWERs7dwe720EcEPpLm4bUhhCTmuUuZUYqR7/d/97GHrGvdNM7MmUj+lxAtTR/kjtwyx/SjWoNWVxe9eahjwmQgPkYoaq7pTJrbbtKsu6Z4qaFu+n9094ylFsH0UAtj6K9gG9EXUFS0ihUcTAIcuZdfNzpW9/TUywDFu7c5WCSdQtDUZVmLnivfmyxqlpQiDsflCO/iCAkhmOgI0yny7U0JWrYgI0xPHf84+lPkxn+U9MX6YX5YILyDbTKePd8y4Gm/it06/D0Mz0Y6n1Ami1gyIU/vavJHSPPlGDLBmD5J66Ah0qRJ4Kduv4ZeZkVwkiSds/wXR5rEt7CALbdxpmtyYTWBpSVCrsdR3NMoRQD7en3TpOJ7nZCe2H1Uw5ek7Jn7Qk1ilzJ6QDDlCWiYBHrZ0RK/yLUYyj8akaZ7ZLE30I2B7ZyrgPHUVO8P0NnJdTrc0Oxm/zSPI6IDC2CP30mGvW5QXVOg+9fEp031VPDv8G/F9kVIpJqqiFiqU2v/wGiMKxlfL4yK2UqEGsrOFVNFQsIwBz5DImrFEWFv7acwd3q+TuAdeL3JDBnwNeRKIYwNjo3UmYDnedj4VxSiEcaqm2cbmz8wrd04pZaKfSRIFVm7Y+SW3Z3N+G5KiSpyxxTxrv/p8r+qfJdwMiuRoMye2GU1VSLlougd8zF196eq6maNGUEzX11GzckFOREbe6UPMPYLgXQJLWmGZXWKqmx1JrEkqjil2e4FB3r0prEp4SHUXy24wnJggKgljuSTAfDBXKbUdIo/2fV/d6w+l+5ZVx8BZDkPuquo8D8HvywnJVjsHdT0tolsMDtMnNOB8uDPVOqfx8gyFLPOoj5I2WNpUoGllHMo1HAkda9zaQn08MbPRuRoMwRfuvKCJA8F4qTk1BWdX28ZSlOV0I4TdIyxkz0YaIzz1qBRR1o4lrFfrujvOXcXY0pheSehYPbgWuvS5MjwsvU7KGVSON8HHqPrtSHJ2ATYkILE3Hq7ZwwhPccAVN4gSeyKME1NIQM6/fBsFix5AEZQLZoopmf2lxVD+rvImLMUCwX7YuP4ACrmEARTYSnhnpuHCxqz2rKK4ebztTGPPCZ2VVb6WLIUc877GKu1TZ+ACiIV87iyJdO2Jnd/qthc16+w9lk3W3DBFM0Zz14CvBDNKYSwMVhOy0WryprBhjoqdijNP40YpxEN+QFIFYUswniK7vPDq2R1lmG84URTkaT8pEOl1b75NA5yd6N3+7idswG2HomPqiL3obIfQX4PWMZYfNTFSkSsXiUDH0j2P65KXHtafd1rPbRr+XMqUjK5g5uzBDwvLoICr4vvY5e0WTDaB6RZar1miCu2yR6cs38BVu3nLhezYmWmTeRlVqXSJwD99MAnAe26Qr4dMfX1ms3E8o2SxANgZCcP8hoLsdVYCf1qwHe9avhPYSyQDpe8BgvpluG9ELjTBhyc/cjGxFqEb2qy+u13BDT+wn7pboZqDi02OBkIXMttHZ2EoZ+6a8U4eqHEcma7+wheY0sVm/z7vcN4s2+XSZE0UILBBYmsk159Pp/buZrzH0KHZPbD4Nsm24zG7baxnqNR0sHmB2Pc6VlVqwxmxQR/nRdMPvncxicQeYW/Dx2v1nbXJVd6Bg7AMly3/TpQUZY1oMH3jDz5w36EGeYDR3NhvPyRbPwoJWK7qP25tZts8r0FZYjTutWue4iYAHEhG4hMgKcasIHKV9bu+isyKc81JxbGS9qDRKUR2HzKgDzi9rm0RaBNQdnq5eTsrtyGO7lX9tV3lFSCvTsalJicYoHcam+kuqVOHtoaP8pqkU5aZ7cAhYelhvCJAZaIF9xtwEotfMBDe6jdKOTHppgSPF3+yJ9ot2gSpM4BayM6Grnv+9l/rcIKVpWkEpYoEEMr4N1kQr1/8vZWuvK/oJXcwOgIYF73235/phDxxPQ3lVeZ3s1VKwYyBrBFhA3K8iLLPJ2WwZ5ym4Xo/HGNJrtgJdano8p2PHoBCMZamnuMX3X4lbRhSt3QUlCNFJrJiMotcOaKLqfSpEKtxZOsU7xqXjU7Sh+cCyhDSYyFzdrI3WzElZHrndrMEk0nWX1un5XihSvNiEhytRMBslg9zJdc0Cnq9MGxUOS84qGywYoFFQVxBhwtyl7+/S+JFKPz1ElHKnUy/JgViCG1wMjQFDQr29aa4OI0uKK4A41nT7p1pnGYTlru571OCzqILbev3g6opkV42+Inym2B6OJkvcSIjR/T8jVBTOc9eWkfTuGpLz1cXHmz2fPk3PIsbnKDSH1dou7tVZz6Px7cYIVAFvrcmBLfg/NO4yXGsfJa+Kx1Lt4e9S1wv7jLicQagjw1FAjCTX5YU0b+LU1CjO96gKqrzkOzzOKDpNKXv1QAs+2JrmVsoUbHSzdMWbvlZ96ngySgkyHRSWsCSOQb1cSxGhGTGJtHbORpiDpwjwWjzsxCEmI8FpYjm2xXnQdos1ZkfVF4XWTou3uu9a27D4nCXwPe9oVn2GbIqN0Wz68iRfbxWPIM7kh+IUwz3qI5aaO0NuvGcrlsWuMzYApBv3mUE7cEwTVrOevZYnllm51fEIE8P6gLw2/UU3b/GViZcGlhKwuKVR6rzxSLRs3b88GlpsPrQs+iKt6uaQALdkMc9M8O9OIP9fCppya12Uuc7OTnnk6+ykSuKMPHy9psqjQ8tWx5q4OUjmfAOfapdYBk0U8hmIjpnjP82x5RN4Jk+HfCHOLLWIxFxWSwgz/sJgT01at8l+A5INJ5TVKoHyo/mPx6C1VOXwGxitgl7w7gR/Sqaez+h/1nEoTKuF6iicKqaJeaUdxFy5mNK5rtOGvQjaQb/4lchvF65RKMPtH474wFaud+JOK7L79/atb8ywn2crYXuheZ1BnvKRsRUQuplhQpECk8wugyqgAQE+y0jcC7q4xeLSipiFDZ8JfJlBhnm0Q2i9oMNFUgN06bMdtGAjvhygtDZVRkMTHu7O/gGBB7WinSZxb3/UM9PCn/8MLt09VR60xPR3m1Y3OBPYxn58Pcjt2JGucQukxhh1kltNNQxyS4s0J1ieXyvOFia/j6Zpm3pkPNXupbfFW55oTLpts1wUUXfDs2gz/FUpZAcmsVCEr4HQ24H+cx5vy1/wJzw3R1ubRRfMocz0PhiG5XyDXnrfWjct8A2yoPtTv0WmDECWcSDiZ555W4arB02NBGRowUj5Eoi31+XDI8nh7FK1U54NATe6tVrvZVQqSivwUdv0L03rtQnWYkcq8SpOat3h4svLlM9upwnNctARKjyI2AoLTUfc8uDfKdGCe36ssPTPvaZpNKlfTjMTx/j+pWIiucsKUMNtzeHiWbJSOEotp61QsrL+8ggYY177eB9J8mVy0pabLmVOLeCQMlJU/eHvVuKpYsw6o/yHtdL5nKXtG8xamk04tnM6IKmmG2uUbIofPXTcjhA8XrBOycZhQf5yt3nSgotuxALThH4WVibwKstCqyb8bpcu7QRlBgmaE6SKQfVYoBJS8cMk+/TweXmmbjFH0iQS4yzaCi6S5wZfPMeJmFZLcbdgiaW3SckXTxZexXHlRPXsnYrHFx+KWO/dpEad/gO+0lgzfWL6kVVNyly2s1JWeP967KBBbcKYuqQd98LIAsR2d4aJFwzsQflObw/6ib+0MiZvUmZGp4RCDG7QTKV1eZ772mU+EmUcklEOsBpldiZv3Vh2S/XfF/I7GIlVPHIJJuxqvmmQoNJWgNZ8PBz/1LIp9+/joYz3FDhcacOrypCG5ivZtwxYG8300uM+N6TAVpZh9H96Ke+ylUCuizr+hUv4uF6/PHwL2WhcmXFRLugdIx4KxuJv/SIJx67GE7846mSr4giVA9+ryMJULVTEUp8yA5CuYPKKA3UmJn23FVw4cponHTU6iUDRujf8xNF30W130Qj4bYYaoaZzU+M0AXmzlZQZRWdhzxk8juAwZ+RJ/H3605R5kfYjeUXs5ZFwrhu0q4klCCGgqFwM2un1SZzmliUeSxjko2LlBs9t0QanRqkMqKz3LQ+8FPXxMYiQQBhhEGzv9PiC1ClQhOOWq+8hfdTfbCQA3qKpno1PiYUff68dc9K85oYlLal1wqKrBUg9TqOCWnHEyzY7E816ZTRfNxNagTxALehxrM43g3OO87ssDEMpD3RqkyEQQWQMpXKySwWIrF6dT0VaDr8xkeXzdHNuJ8JQlXrvM9pj0OD0PAXquyGPTNOoLtZtt7v4F5DQlE7kKp9LXiqeOIOXRrnUbe9oqWAJNwZZuU9XGoGGySr3DUj919bYcKxaAYneftY0bKNBNrGXmaeQCEbFsRtIg+EkDRtMTsf4YxMEvQfKkQYJM7pDiAGs2YyU2ccxzMV+vghgPf4fd5A+F4vLxFB6nkqrePIwXgvOnuUqThdYWJ01aYlqnikkbXcHdkrh/6bjLynLbnDJV35jNXbjUZuc6P4cWeccuspRLNJ5CMNMNmwrASGn8SDcfSv40289yNzh3xFBXhxFtP6S1LKv8aT2mBVpiSl5QtpDtF/xYkRVoG56B40uMy1EC4sTfNG/bcZGCSBFMHenL7F3RIkKVNe9M4TUauEjzBxoxF30dyyeJbHl/I0XViu49e1RvFakaKU7hpoROvfoHRqaVxJCPNohzcoMdA+qVS3yX/rz0ZvT03DrJsQSu7iB2KEsGkLIq5Rw7QfUKg9owGqXJablYIudDCMMOy6AaJIaIQs8oU5LhtGPMYUXilIF85kWkIjt1P5Xq2H/baCGQ17Oh2V8SZbZX1nE4SeEk7GoITTNeinKt4PCy7+zH1ZpTPH3MARLx/uF2p92/QG3uTS2L3+KA/Gvr2/r4+4OPs4bN7tjcECjZN5pAmmHzWiIr9nFd38LoP8tOP8u2TYx8/p3LTwXfZDSy9qFp+/Lbd0I7FHIpc6sWgdmyFMYXc4ex0C+OD1ZMPp1jkQFiXY2N6xitaS6UnmMfWPB9uqYlh8sDAJMUXdfdJVMUFe9Qpm6ZWzy4NDcXNdl+m9WyfW6hW8UL1xkx13sXUlctCbF8AaeUd5CbQ2jDcp+Nlpr1E9jRz7o+3eNnR2YtRg0lYtyy39x4/z9vMHWo+RwKefwmA7ta0+V/hM7KotEA6mqHl1BZpF8ZkpqnoY0GBS0B3D051tXnogOpknuttXOismu3dYxdgdExK7TFcjXVqJriPsJGcJyZFyAnKXD/Vj64+v2kPDjU8YIoz2h3ZJAuXE0qLotzIW8fzLzXdXytNynpWNpVKN8uVUBsyzBhjQ8lhLg951WVYScZMX0JMmIMp/mKe/g6KP3QfdQTKfjkrGnbPBt1LCRnn/CXuYCsZik8iei0VHKx7VcNDq2kYUiaOLkY1c/vyJM1rXFflgzDhXSa3VRpQeuusvogPQ9PNOdEYv3WYJJ0Sqqb95SCw6TRSMFkx6ZJKRs+JXX/uVWTWhKNz895Qgk/Lg8kJrZmrezkegPjTHEZXWdQza0B9YjRlFhLoPah4cmOOsrY0NDnrZDq9Pk9IxI07AFHs58ZweahI5MKCUtqEY9za2zCve7jJKhVGVwVmQ4XUvDn2d3oHxHuJNaDORTHWQmsADA7/U9bEMTp5LtvUCN5dt/Vx72AGJ195hZB0iSn8s93DqI6CJtjSd343DF9F/2JAaLbwCWpY0xgOO1W4Nq4KWF/jFMhlTUhReFVcPY/6iHHWhe6+dFoVzTAZKDaJdVmxxPNFdoRHClSTew1YqUofuRVuYZQhR8OO9UJ26gpgO+nkLbxaUQdhkZbdnI3VJJPW8XcBOlkXgEv2QYDyx3LNN61GLrP0Kt6xQtsL9Snjy+t2zkuIwjcXOXMPQ9VJ/4oq5G3Xu79MKw8Uln/rxe7jLmvyoT5R88N/HS1qn/LNFUt2YpncsaZvDFwVvnu/++ZKQJAjDLUU797usLxRWhwJq2RlxdbiG+s6kRQ5Up9DXZofkwa/wxf5mrhaw+xFDmU6OXon+7cZqhrU/n7sIccAZSIlGvNafmsji9G9C4TAiWwMDrQ2TTnP4lZEODaqo/pjmZHIPvyz65iVK8RIDeo4GWdX7UTG5f+zA7clWakeo0gPxPo0JTf11fWJXJHZVzlyoBXtHSnx5jOTMuJrICrRJKz1408+zcp3nnupkAFEQZHBFVgXz7SLZYVtH3YGBCyl3i+zoMCnIXl+RnkS1g9I6NDGw7/Z6hvI7N4KzqKYgW+M1sU3DfHCsmCHdPhkXa4RnkcFB3K+jPxE8sdrQ6kyxRVbqkqDQ3cmVFwjD6Fen3S/qCQabowuyeTMTOFscYj9hC+s9ER2OZjfUq1jWBH0TJlsBlApDW4ZeE0jPW19r3m82kXoTX/+uuhFQq0sHPUhTewTw6zhwWS/xWQzUlkQTIu7vBkBgIVeFzOMQzw707tMUSqjt4auB8FmL1JJeAdji/HfUTI5GGeGInAy07r+357uxQMom3RL4/MbTnblAmXswc6nzVpTuQJSH/kOxRY3QtxhAvktahTRHiK+xDFqWz8If15rwR91hunTllJwySHxgU4b8wtVkjdfRrzfed3rmyhefD02+q7NEOUU45Nfnt18tPDwCuOmyfq0t7FKgn91Tj37Fh1glt0spzhZo7CS7DwFW1ionXkdHzvu2r7Wwg6Y3DSqZ1dICpNNxF+X781+msN/qMK5EbQ8/68sRlPlgb0DpI52rtHMD5r7VnQKKRFlw+8xPtbScyAoOTWWNTjIJlTk4mDoyUL45VCOEUIOdS2IQ9xcQeJI0d05ddjAtdtBdxSgXvzFP+QJtijsycQUjzBlzGuz1HsYtDhzL1VsBx1b7WlMPWizY8p24oFAlsy/4LU7J5EIBbp/adktJUMAW8twVoULdjVrMdX7lX8Xx0cBWPrVxsMjjHEkNWFpnrCrM3fzZaKMKP4h5X3r59oN/4BWkqwrv2Uy/G/I6dxnaKlI1GKmZ1yazSaf5lYeW4slW/ZIgLOBmMuBgDCsJ4t6mK4lUEXf0YORvoynAuDbYyQjrdh4oel2GPv26QVhqjHBw7L4YCwOGQL+Hif1Nd8hmYBwjc7nWpaM4fcuKOgFlAkUlmDwqOh6O8Xa4xH7otdEylews5EY1TFRCZVqejpvbEvZFjAjiqQzMeLyQFb/dIGUWtnsO+eXbNQ0DvWrhY0SQIIN0a9oDLKp8iP3Vwc+I631ehU0BKbiJbxNAJflGA6QQzq3SffssPyI3mXhexH9zjhxawDnmFJ1/PLwX+DPz4KKuk97XgMAZUkdlz+wystlZL1QVWXBcbEyzP+F6iOBlaA6xz1B31zGHn67pPUJFE4dUnfwFP61hX7t1gKvrE66LQn/VJXd4ey/VGlk6Q2SWZlNKP2L6yCFnMPbSoBziVeZEMutC5Kr8w2KlHQvyihk2K0kxVhvDI8n2DkWT8RhcD2cG6qAl3ouo71IqHOPZgt/wcAMn7ys9BiYVAF8a9Le4n9mxmEp8WPiJEQO8THwspZUmb4bVXMlS6MLVil0vVR6ruH99QMsmD4WdKDk9sfNQFetj1TDF1qSbDIM2wjUmyhvHb5D2GiWlsO+6kMhfkMbnQzN1YJiPqXbDNqSHeDN1MB7z9ASd6i+eSGNzETg2pOevyU1N7TWvD8MNY8kUrCQa/4Qa3FfIUrhC9Lx36b9t5ERtVg3Xer/0zLs8ZQimtdPZIEcwqJVxW6yUb3gF9+HO1lqSkc+L2VOo43491yClSbGTSP6sFH1h/UNrGzopVGp5vZwf+SAn2MTHf8hZzUCUtoWQMVTt47WYmQC7v8BKEPtDn/7RCQKK8uJZwKcEaorg4O/79cr6x1/xmFm4ekoCCamau/0yOqF6Hd9n0zaY4rO3i4usjRxhsJw0eXEoT0nKX+JrP+rBGTYpgs05oRcEDrw52kCJXwIpzWWkMsYC/JRWvfMwlqKZw11dhOJXRHSOO2Kp63pmt8uNhH7cM8x9x3iC2cB7zQ8zbP2BLPcIxYqizsFFVt/VORcGg3hZwkVkoXrQqyPUuSS7WWpQTmb7c8GjPCWXdOHhtrnkErpkHxfGXIgVucJE2EEjmjRnNyRd6NV0xXBx5c7/tS5rYf5IMIGMqdRSKBCp06agGndB0EIXCAdu6+kPknEw18l2DQYtSq1Bo2C2G/HV0DpmxUCGSW76EQ4K6u/ieJGfAzd8+FO/Z4Bnaif6Bv0OekzDtsgGAu5J1ReYliekJWWas1VR7O909AvWQE5ZGg1h7gZmqGbn7u6xuIKEh0aGuQ354KAQ0JLjVlTuwZJF8NC5CQgHAQPv7yF7CzTcbNarsn+UkHo6zfkQA3NY65v80G06h63531ZT5GdeL4jSZkLswdrNf2hdMeLl+/7GRElD8EXD54g1YZY5wpmWWsJcUI29OHSugD2NaS2KTovnzhMxJqE4ekI3ozy/beC4WXan6TxAbYzlyvNLhUtoVH2IPrj0Qc7kmEbpeVYIV7N7Ybz+bVDl4ErGOUyjDda0e0PnBplGsW580yZB9yw0uDAcQ2sq9ECSAB54zEuoIHjS+HD9Ue+MkdWhz2NvsDnB7rhY2otvZk5opjYiIK+hU24gtssi4MPVCcPCu3Ch13Uv2uaf+dtahZqxQym8FAF0U4Pjp71+k0H13ql99MK+XHMcapqca/LzST/d8ZLh6GS6+YHrbB7VE3gZaKr8pGbTQ1nOypxP0YeRYpFbOcZ4GPJV/U3tBVlKLXoqJ3UelghBiJXKz4a4GsvoMPCf3eYMtEP4lRuDOvAZUyRyUmiuz3KbwkGiC6dAmzFOZEDnDauNURB1leHq5DLsbVMlMlIOAtzi36da9YEpljH+9NM1L5xW5GgUzzs8QgCN+3hFdwrQaLb8Bgu7om6m/pCETDay6/Xk81Y9DzXO5QUrHYS0KHzn3Zh0SbDGA6dKNlu9pZUoHLCY3stpOBtsi23BFJKJlNLidjUi9sP1o0wWeZnyEc8ROQat5DmNvcgbvCjUBCYeMQSrmlr1poM89ekYupv/sY1Dej4WUB4ZJAKbEEOD1tw906HJNBAatb7lkNEignNjkhUTLCGqSdiW+QxqjgnsBXloN/PLI7spMbUMoZqBUAxzRuOUX+mF2Vkl4CmMtfkH0NDtvP9wuKNBL7yJTZlTtuPJrzR6vUjdocGUM/MV18vtDrd2HbfxOA/uOiok6Cg6NJ1Gx3lGzsLp2ojYwRw4vByM7lb93C08dQt8psnH/tCnCllVTa3ENJAK/g/hPhyf5t/lW0FLhPxSuPsSx3LwYyqBkwdciX1Dre4AyXHGPcdA3XA9SnUvxUW001I+X+3USRo4sSo3bVsUBFR0CBPcoLl0bgWPVZz6GiefxZ9XtRzvbqQiv1l6eLwQTVyeuTvrtnxh2zQs3y7NlVsoHvmr7BWfAlYeGIpU8Kmwqn8ac+TZDaLH2Wsb7VRZMPlTJZf9GjpVU9NoInUSpgGbyEYC7d6JMq6yRUX0N9xHLtevGcoR6XCEMChh0B/Lzoza7tLi012Jb0OcNs7mJ9vvw93aJXsYNyYGQH4QgdSS9+o8ysaoT/Y41DFYyJAsoaCtnl6FZgVfPd0+uMNOj8ko7zyqNsC4QiQz0Pzljp/OUT4iExWXl+D3eTluzEap8JbThmtgPc2+Z7QOaoO8CP+4u8OmyoN2+lGVnxY5dY5p+QSxmy3ku9/vk2AreXOF3Y0EKsC5Wm6zx9dYQuChYdiTQUKuGhG0uVluweP74L4r0yjXyrusk/i7iCm8pqktCME3DNzrVA5WisQ/xiE5huThfipC+5vonRccgFxBN/rm0N3t4Mc19M+83sbqQr6iS2oOgjtNKTXVxZmSOj/qMklxGBSLmfG4gcA2e/iRbjZYnL6aAoJAUN5fJ5kwHCmig7GnJwfECgunQ/q8sKSrrgtAU81PG37JVgm61vz7KKqAuW53uj8oTsn0H1OUpoobWMplFqULYNWRgZWM35i2bIeRWo1nI90dlItLYOhjr4Z2p5/8dZ0rc8/PSuh/rMuuM/DjSITloFRA9dcPLj6yOIZn1PMZpdqGDhzJ+0bfqTdEvLAHpjfJUjXt9q9C6SZFayb8YvNQ059ksh0N8IVIo2hKZK2PgkB7qdMbPRaQjDNcuzMHaa5Vo7mCwmFPLJnWcDTqjyFqxjUuwcyMtGSFasr46cZxioGot6FMHEOBgOX7Sqc5r/zzQi3+74RhQTWCP3J0VzsDbJJw+NUiy37Ibnlj67pnVyumNZ7nPUmRcUJWbjY7dKOgp5bg1u3BkzABN4yZd9ndbNk93BYDrVuCTp8QcoGlS63vdzZKX23sJJLLSqENkOV2MlQzHQl9A/OPYF+t0FWv8yZg8yKFn3zwzYxl5qe/n1T1ITfomD0G+ixN4laHPOvMWinnGh4l3hJhl2lcc/ajlkNuhU0JnLPUqx0IADSi6E6laKU6Lv52OfAg5vd4FGMCDEbQ4LdsoGPe98JtKCrRCjUa6ArfFPhYE2HqOlq4JZv9ON4YfC3V53em6Nx7fvklQfpH3o9UW5TWipVZdhLmysp9P3mKU8C/tuue3sT0IaYDVxf5XUlyVdvws2XHsA+93FojeXL/Gs/H1TMtpc+pAO2g+rVpi0V6NIALku4PUAi576+N11mgWO8yZHtqH9E+CBC6WooGPc6EkyLX1vkM7/bIj1mj3ouffREx6d7QkYXUsQqPQVC5R1w+a8WX8IbxDpGZoJs0h4kXakAmRC/07fc3cj+OTmKWEosv8UA8AE2VMSMjVg/whwlBkCVtfm1arJFT93elaQ/ECbOpQavY6ZeuZGmpXIz+2De3IKNW/orIRuUVe/khpRZ9I9X4GHpYD4J4diDzjppvgKyJ7PNqpESlzMw/f1L6qQ9IINUlqFYGCsiVR4XnA0zXk2QAO8A+DIFMEDZ3xbl/D7OY7GiFtqPHO3d3mlIDlOx1moxMMVdzq59MFI6E3IbDQPrk/4wyFuTQ1rhj0Nnoh2BkpEupHzT5JajSXt43Q6Oa8j1U1jmzs8EdM9n9FmSdhrAq2dUL9u+DZC/zhl+7ZRCdFUYjea6ozU3ZOUf8VtQyxnPA8VzyJBN2UrgBZ6lhJXUUGAmt9Tx7FZrOptt5tQ3GDEc6FOfmffubkOCC+Zownz11dGLACfk10m8BTm/E6Oq7TrEmEsY8FtmCwXWT8c8ut5+t1uB3fL8hYjiI8jw471DM2gsQ6FyZHtZUaY1K1e5RgdrJbEaQeem3LG4DNUM0q9nfJo3QhR1SCRkBQiw/jcY6jgF8yW3yaL+GRyZOCSpeXKEZK6NmmHKSfDFp1ySPt8cnjvGSODzNIpiLYquP9idXtULvOaqf3LohkKS9s6ov7R6BVhhv/O8T4ddRTKQzelCj5MhBmnd1BL2mF0k7tI3ou0SNTu1uYxyFSC+pixMlw7kRg3UGQ0YnMEnR64E6onAXcaLjhbnb8XF+QDIZlX3DCdC7m7iD3OeY5kfDA0UZGfSqJ1LnEuzcuyIvMGzxfsiCLrm7FtacDXNj56Mof9KQ8vXa5tbr6oIbozCASogNiGsnodf0qIEkrCycX1kYzRyqc5V9JgL/AB+7r1cy1lkTXhQS8ZoV9wn1LhxzTp99OL2zaUM3LVUusVfLauBTSW7xKNTy5A+eB+hrP1Gf356jWPOJgJG/FlM6jqEreTvF/jSx5ySJa/AcsEZgyCHzz2+9X3kCWRhC3m+RYaM+TeyPN1BJ4M2uaGz9ychz3vzcO7v93sEey30iY3WGfrdKsEpn2TbuqvSUtwihBaL2Lho0oJRSpCNSq+c080h/HMJ4vSZ3hjnv5YRieheeLbbdF1tf4e4t8G0MelNf3w8wnxcektQmmyKh4LFzc308Efz5T/zPyGOGXBsTZf0IQp5Vs1Z9/42nDPFrLzLp3u9+md6bNZqYOC3YKvcXbjd3774/ZyvhEVZ4Z7Sqj8my/OzNkzpdrLBtoqHOSL6BOB0smheaKwAoYKw5J+Qt3rfNdvLi6WsK6soeLMeQSpEHh/mM+G+Egy4v3RTm6oeVd487a8Lph86rbwSDNLawjerFfz17LUUdo4ygrs91KUh0GWNQdh0sYPRlyIxnys8zRxhfuMKc1mp+pWQBsinaulha3AZzDMfKOk7Bf0TVgLEJRFCvFQ8ZPydfaVjzuv8sgNeXOCUVlzzY++4YiA3gosXJYbzPTIVqHTh11wYOJyKRmYdSutyDjT93c08wncj+tS1QqYC3imaNPaiQlueMx6J/Z4MBok9xhgcNG0c4c4VuZRc3fsOpRb9CxT++JhBIxXkwswNst7C3jSyc8+qaN9lXi6lIfgsLAcmWUgUmAK/AOt/NE+EVr/StYABVZTcMBZXFVHLHx1Iv+lGOMW/kTGuGuQ9fVvg0k1vQmZPWbQMski9bCj9noOzgphrG3Y3oI+edlTSWsDcOf2NHMCnwwbxUogiycbVgRHNegJfeivNUUCu8BC28XNTM16HrEqEZWYlZ5xx4nz1fIBZDAqe5PMxVRqrF1nDMqdhFhTt3NZCp2VYIRkwAWGRlrUnbefA7nFt80Ae7+/V6gTfs0lpcqZSe0M7PPKC3CL/QUanJVELeCM+qgD9NYtsAAGiOOxEBsO1VUl/aPAIU69OuoFAhP6er3dvNa00IUeQ0pdTvvUV19N4wD0X/fT9ssniCxfxHqGrhSblcc6vr7pHeXH8y4+soFM8rWiUGwSRkYOBkUUjSg+hLlygVrzrRj7BrTLlb6Xu7tGVb5WgHH/m2HMuoZDwrRegXWra2wBQv0BAWRYYymf5xhcXYqYIK47flFWcQ1cjgtGKWn8k0mb6JRVodQgaWxTzDbVy7bFCK777ev7IfLgoD6wtCJ1irTEAm9Hf6ojDZ6dMdkvLSeHXprikKIJ7ao/PH6oliWYwBRlqUqNalWkkpCFuLiknXpjHh3u3sUAMmLiaD9DXsxAeORNad7wWHipjqTuvDrObKMPiG6dQC1agR7P4QxpA6I33czGbzphWNU93tNC+nrSbbLXf4a2nOfD/WCOITFYeBzWA0EiYY6cVim01sgEdiqBA31nYcewnlrpezeHyHrbm0tBwrXyQG24yGwSjibd9ciuBp3h6aoioDtyizL/hH2FGmK58EbdTY/KiJN3HidlagXt8DjL+9VeZnIVKSb64Uo4kHycvDYNA7JTOgb3Ze0IgydqkTs6MbaeLblFRSOPTglwEzjH1/uxd0oFDRGwwglyuINpx+OxZM9dt7MzqXt5C05XsjHalRmcGANfKMB0YeY6sf7W1OFdMwU8bqySQ0xrZrm3EIbOGJwS9X3bViHD147I4zZuSBXT0kof1GDkglzY0hESLmmyPcjgf8ssA2x7IrLDcmC8nxdJk9CAZtcXjdEjgz2/2uk6Z1arZBvkBKgYY8I8PTTo+kmOhPfV94/wYxQoKIDclPwRH+QTGY3Qp9oDhg0JiHVboguTC4kG/OlSBDXH6k2W42cKHl4O6IcRLEZNCRwuBVNHGTiN2CNpQC7Movqcr4oRlKYS3eZVEyzxstDf+kDmKr3cUcdUXTH4ELSYWgrsO0a120dOuDlz8sfZ8IZqaw1bzU5FPFiT7t5wGXNHoXkZG5sxDpEVor4tamxIyyxdGjnSnOrjV1DENWQHSRvexn9iOptWkKOxFzvxCiWsUpAsY5n1jAikCUGPYRGJoxr+giidlpsKN0GyhE399UxF5Mu/Sa9KD5JCn+9PsY3FownoMswJhoxm9eZAla36PK+eRjwQT1vhLUbdhPLE8vnJhFBK3lYorsJ3aVAIfzCWJMkI+rGqQpQUY8nWCrfUIXIFyCSC5OqfX9Nw1u2f9pZ77/oXAYAAAbGXFnnpF5DhHZcoiMrLPH2Zy919ceZSeuyMrI5pzVhQZ3ZvYo9FVkx9l7dPYZ7x/x/vZ+3ucPeNBtr82zUhxZM6opjMido2bDQo5PD9tTeVvUSyo4NzvoRY/D001Kykouw8TzLl5iXTRq0PNm1ECqtP2XZ8pZit7mPrplZRtEset/5+hda/Jf/6JA7kpvrFth4c7P/iUwjPTJsXvYl6G0NsOd8i0fZu/Fr1odCaLu8swOh0tuwejmG+f/CvLXi4C3lDaGudO9rpp4QvBKdQExImYxFgu10GyLH6TrMymOO1C3OeMnQzFcobYbg9xWEfJ0kxbtECbSZMLeZmM3VShvHH8AmEcWtMwFxtXFC3i5Xzfo1HxxKFKWUzQfA8nqvxsH8nTmDt+qBpX7lFSVHHU1WfkEXM8k4wN42UMI24HMgZpR52f66i2ukW/tXsT6+e+jLePtQbWAZNa9cJfGX3rqOyGLXMdV2nBLlYxppVTW3cqRdEbc9++o3B79wARXmyXBN4EF2QbWv0xbbNu8y/17O2Ya9BYu4fDEpqbfcsCaFrBRS445skfrCdg7bDjIqjRGxoTRkvMclmAUib+6vKE7Qr3QfjRBCTKsHG2bJc4yj7Lm2N6gkDKP+TCeZMIEW02mgJ2Ww327aib+RZMBAJg5sLtaDnc7rZDZ2Y0/XWTz5B84y4RWeVafBXDY9/0M62XBo0K81yvJJa6fjQUJ+V3GIPTlIGCGP+XYNynG89GOcoJ+IiUD+eGPftfrWeALez17aoDvxsK0c2T+Seu2liN3D1wb5746pn4c2kVyiL7VnbB43Ojz4UrjR5INgagf8wkdUu5jB1j6nLPV7wYR1OfRWMF1K0+nVvv3QmFieJWn/qWElu+vCMvbF7hhsRp3/fMzjmdXXxl2feli63HovdOjh9yed6dVl8Tl0Z6ckCpkRqRol/xGqGRNBSGsAzbQ8U05rgrj/nvmnyrP9pTgChLSgKSRSnk1t3d31lz7GlgCentBrmkDYLvkF6G9d7U9SoeED9rcQdaSW+92F8wrz34+z3pi4Jx1UWfkNiSUpoyMKFMpXH3vUolndHb4iy2sUl1j63QPMl0z98WGzfeumU3xWjKxv235Gdd3lEPhueV9eH68AQSFxZeE1GALsDRhDPFa1AKqkIyg/BeSK5DiWxN+w3Mv14I8lLLzREWHyyZHaih0Dp2LxQC62k1J6LlNKe9lzjTT9gI4xce/Wr8FScvk5eIWXqrG4LQn20g5t+UnDFoHX7qzLaGtGjxVwLcRcNqj7F1PvTGiVqhzKEI9U5T5m+83pKPgnE0NRDi2rJePpwkl0QC8D4kgUmOS/vqeKeVJy58EnyrMf6QgTZw/mi2vHMpq7Hp1Xu6ga0Dou6XGxGpL2LaPixSTGVHasw2zdf2xCcRQMWlg8Dm9cMo5xrebdSwiClM1jnvOi+ya2lbtUIm8mS6cWDUdXYIVwLROOdqpul/xRHxwQAvmwXfAa1zimXGD6DbcTi6U7A/YoX3mXilP6O0CFptmCGIEP5BGa5rSpPbfJMk8fDRFf6uRWUIiJk4vTG8qejVesS2RNfdBi/aOXn2+04mmOljpUqG/TJxk4WlyIiE3C7smbOISrUa5+iHCgOUgm/Uhw2PrL8vzosNcrq62kxi15Z8sLPxLr/GDiI9UUQeXkERnOvqrOImdMd5A8ha4ioBKMsXHpu6lG1/Ddpn3nLP3Ptv+kl4dSVMPK1o/q0MFT9ZMH5PvxLmYY577Xra/6Oxe31t9O+ThDjXj/7Faays/ZyidHbzAyEYL+rLIpiNzdA2ag9yNOumgPecSBil4Q7hFzL7Rqbx3SH09+d3sB6VPKOOmuFdkFfGjaP4BuP45X0Eu2U9FM1blLWlCvF1h8ZUzjxQ7oV7wD5twXpultKZvK8vJGuiNWyp1f5X/Ptk22n6+9k9O6heeTfBgBJ0un5E+ex7JRj8kWkDxlDY/OqImu9debDle7TbLe54X3IIAcnGUIQFKTxymFSl9EGMyraG9nWjU4HkoNITavO/x/haetDypH5ifMZH28VWCOYOVrH/muqSW1fFMsEGHvFZFn9TC9Wnsg2dkIcRSbItWkWdywwg/tcyPH/yUEgY9+M8jTeIitaZm7dTqMvUQVpjKPeTVJLJUqvPvcZ2cQOThAah4klku+5QYGlykJBdZ2bnvoXH4YnhlLE3/wTCQQmjKS9+64SlRCZdNiJCWSEzsPVNvZN4ZluJY/WVvAIwIJ4VjVJfY/ub3/ekzmfq1KLT8igxEZugJQ+ghjF9X2egUfp1clSx1W/nkaFP17r4h0yhty5MuzdwvCoBFOQzWv1yI3OKO3vwjNwLZYgo5gpXYSMh/z0xbgGxDMx7EwoM5ZlGFlo5uOhbNRrow1Vg3pHuT43q24YP6OwoBxroH/TCjXD59aM91RmOxM4R2WYRtD1zX6tFs4ZgQOfQKhi9gxSWHCfeLjkkDi2b6sy23z8wQiAfqsPKmVOvZeE+HD9a3NsYjBzT366/Hb1wJ/nKRFZVCXlHMGjnsAHZpwKM0L4UJSvyvn9bX/khvaa9v83GXkquAacXSwgCM/bNO/k8fyVGwKwMeATDzClVzU/e5nx2CdVZ3DtqF2MP0nC5RPCfaNM+rrGBRh4+puGyA68OzoZAlSYi8ldZCn/9+HNP3qO/pZprBG47cr7rsR5eZJZV1okpPmpvpCxQrSR4uvWHAN/d4H3UyVpk5QVHILpNOjLaCudrQhJaF4ShB+32EzvWSItvyKAuNAk+j7kN7bGpy9A4w4qv0vjQYvbOZIf90QFbRZesYHUnbKslODjfAFRpkHZLgbkrQcUfLlMYZSL2hbdhDyPgzxSYk6unhmr29QTfX6adje6s6AfwH1wfP3RRVXmfenMh/6hz6OJh6k+C9b+Y5R7Xd7rA1g63Rs1NdgL6k0bvh3LyiSbknNvWoBfDVakUC7oopBjGF+/68ypHyvvBLMEnPfdEYL+LX43Kdv8W+3Hj/t2wM2RsmWMwHt3sXXM6p6cSXObJzs8e1xE7dcFbacxcLsltApEkCFTuNsFVBTvCrogYdPdnm0J0Bob52tZyXuyqZTMYLy1IpgSpfGDMq/WS3qk+Y2g4fn0LnNwVwWL4rns4EXqk5IfhEXqr/8GCXh+Ww2W3D3y4HPtGQLOvBR9uGUwNXHeO8YrUANtupSv5MDXUX2yTJ0lyOFRDMtxb02sk5l1uEWuCgFtfjYdMki8oJ57CubCxp/65R0tQnTUXmZyugO8VFNcoWGz8MRYx+3kE24hPHrpVb9yG7wFynJp1DIs8djEvu2UioIOxCg4S7L9BdFZWuWmyrL/p20xwR3qofRMuda90Q4Tolk5dnHMDB45eEFO0U2ykK2T1UE2NJlC0O4EllmJE4u9aZ1DViBexvPo/Omol/48iuJre03z+atHbRlls3x4repAGYqw8Ejz5x5hZcJN0fchY0g+OD5bYOMHBXeCGwN97AmZnMf5Pz2wlrEVzEMtPZL+tPHv8CNrXhWh3D5QLgJsGNqBUgBwqq7VNIg72yVhdBVpxC4WvWE6JdchRMPFVJ0rEx/plPqjLNjv56yFpLYdYn1VlooNezy9Sxuk/XiLaOF+/hM9qV2OZJYCNPlnCLg3Jzul8EyV096+6kdbkhxXWrWz+n+xXK7plnNjM4xEiPez9DLHpp8Q05H+Uhsfure5O/or5S5nlI3ykMYSI/fdb6AFNmqB2qptjfKXHCR8alBKXT2SamR5ldOwGhzD5fpITsni4yeTmM3a3J/ETHmSvKiehJhzTmg4BO1FPkcJWxd/cj6oqhyppBvktVOFrPH5L/JeD/g/+JwMXXzSkoJMDPKcgH+B9kJp5bDQplbmRzdHJlYW0KZW5kb2JqCjE3NSAwIG9iago8PAovTGVuZ3RoIDExOTMyCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9MZW5ndGgxIDE0MDIKL0xlbmd0aDIgMTEwNzYKL0xlbmd0aDMgNTMyCj4+CnN0cmVhbQ0KeNrtl1VYXN22YHEIBHeCFO7ubsHdXQoo3N3d3RLcHYJLCB7c3YO7uwVt7n+7D1+f2/ep3/rrqpcac0mNOefeq3aRE4vb2TqretiDmOmZGZh4AOIiUqLK8rTyFjZGLk4qQFtZemWQmQvgfYwdiEhOLuoIAjpb2Nl+BTqDeABcjFyMTByI5ABRO3sPRwszc2dAGQsTEytA2N7eGvQetbF3cQY50gGkbI0ZAEBbE4CFsxPA2sIYZOtk5+hEBwBaWwP+WecEcAQ5gRxdQSYMiMzMABMLY2eAEcjMwhaR8T8EpWxN7QDc/xk2cbH/X0OuIEendxkA1T961O97AE3sbK09ACYg0/eFLtbW8kAbEIDqP7MBvKfjBJAF/EdC1kDH/zIdaGNh7fF/WPDvEzVA/2RKpWILtFcxt3P+93ELJ3ELd5CJooWzsTnAFGjtBPrPuJqtCcjR2sIWpGjnZPEfRQTQM7Mz/9uYqrmFsZUtyMkJwM70zxDovWr/JvpekH80Gf+bZv0zSxFo8Z+NBTB9LPuHmT9YDujsaOEO0GFiYGJiZgL88/7XR71/+14xW2M7EwtbMwALOwcA6OgI9HifxfxO7AAvZoDFewbuAJD7e86MDLZ2zu9LAO/d9wGY2jki/kfPmAGMDi5275fDP9V7H/onygJgNLazsQH+K8AKYLR/n2Nn8q8IG4DR2dwRBPpXgB3AaGrh+sEcAEbQ/7YpJ4AR+EFcAEbRfwE3gFHsX/CeJ6P4B70bSnzQu5nkB71rSX3Qu5L0B737yHzQu43sB72ryH3Qu4r8B727KHwU4t1F+YPeXVQ+6N1F9YPeXdQ+6N3lo3os7y5GH/TuYvxB7y4fVWV5d/koIcu7i+lHD95dzD7o3cXig95dLD/o3cXqg95drD/o3cXmg95dbD/o3cXug95d7D/o3cXxo/vvLk4f9O7y0Vm2dxeXD3p3cf2gdxe3D3p3cf+gdxePf+i/3lkiInbuAC96Zk42AD0LF/v7NcLEDOBmZ/X57+4GFef3gw3oaPKvwPswvLGLoyPI1vmfA+v9Dkb8n2xq8X4sgkDuIGPEpXk7Y95gy9SMNOca7Jz+0a+arbK/sjng7OncA0nNyh/itULjjP+ywJrAW80tE0tEoGdKEUIUeF2H2lGbHMzHz8bkWEvrd5OqPaCxOwWQBW1YfY88kDEAlAXm7mmYuLBjpVRE2+YKseuqiVylLBRUU1UkHcE6bMzZdILdD2cePuV0b5zUIELN3V5fyaR6qdoYOafgSficofWKk/72b/uTj+po5IrS62TKMlVoIeDhkMnby3/LChtfRD8me6P2oxv9rra3hSzB4w8HBLl6AFCNBsucgYcDqrMnS+MLURwOp845wZXrvHugiTfjQIV5HXdXekOnFhjq5g9DCkv3ZnoaAx267w1dklsPNVmJ3I55PhhCUY4TqBiOpMVPzD5QV9ZvxAW9JCT+8APWRcKMCfeQpyMXoGcZ6X17RSzhMsisczKO3y8wJ4sNgyCIBEMaIW0UenQ9RrQ/rDySHH2CDIxVFdHuLm1L5eXaI1AkLJ2nATqcGn4S9nHotk3hnqwqXRS0Bjui3copGRPd4+24PBw4dp7ZKz2sER50lZZnTSTMXvJ8L+AYPEejf7HsgfsvHQFJJuKbcLkS6MMoRD+C00N8tz+PTJIsBQ7SRZt/hh0reNUuGjHECOOSAMCb8UvCCHNeMlMkF8K9qncWEdaHXu6brYIhUv+O9L3Pc+4KX2OI88cawwEPtxCe+jRWkfDVE/+tJK9/njgcK3KPb/3njYqHaCk4SPFHvXpfxHSUT2IjWouNkmw293jag1wkMC6HM6oI3/g3+i4aEiFZ5Grgw1b9LQPTziLxbJn0xTrQqPyFe2ZVjJ6q8etcsGInlNj+Jin9jkT64OPtABad7nyOIGdoPo6xbayQ3xi6LDduaScs7xVZlrafQdY9Qxb/85WDBKWVBRQJ128l1IIj/hjpFfEUiBIMwUQYmj2HZK2wVnF399/r3KUKiBeO2m6HV19wB9p4an7vzlvLlhjHXaMdJ40VsXqr+FGwqlaJhaJor/0Z3IjwUpEz/HQBJXBq7DeXH5Z8CYmTlu/M2EraAcnUOccgeoR5yLlQkmCiaAeOzP6mymC+YtzXGr5CKOP5vamNUIh8jC7MjIor9UhGS275uLi5XFFsmpcOux18+Mt2DqwN96qFQd8eqgDcXsfcqFiHRtZY75FjUxkWDLrr/MIQ6vhsnPs9fCwBrzQNVb+AAyRD13KvOwPaqBgZfmxAiQnOk3907lxTX/EKX1mnU+KkLk3RVLR5j4kt9hKXWpUEA5c9V/ypwByaIqL+OQbCTaG3EXPGt/xto8R7T7zB4bFpqjwIsBSkydzBlp0UmGVxd/ld1WzvhbThg2Is7HsNEpuqqVamjUw5BXvJDGBCGbq4rMZKmlUPZiesr3u1uhLTbdNyMkOzMx8m9jN5PqJXEe+QE+yOLvyQ0X5129EMQTkPXl8C8tT52KkyowBskS/u97cFXcHByOEJ+2jq858iGVv1FAnf+m0QtYL6u2oqMTshUdXYxX8y5eyYSg2uwJboIJXeeIbWv9LjRlfFNiTv5ZQLZADFvGVZCjzZN2JRg8GM/M2B1mupSmDwvUPj4j2L3Ipf1qTugQsTPvtqoxuTeF1odhZxF/gqDNR23/RCcbj/3CMcjQNwc1dzjYnMTKW3JyHmVJRn7w3H6t11c+vBuaH+Vkh1chH0mxEJuXvqlKCJaNUL2YEb7LWQuInR1bAMntE2+BpQ4s1K5+SfJEcO2R2KrfHSBooZbQUgx0/a6p2ZpY1ipuaHkujxT1PgC6ghP2RHmlN+ftle2+HtvLY3jL4gDcqkjjsdoWH50p+Esw7nSikFCBc/k4z87nJ57twhEl1qieOYB7nxq0YJ1Q4sZ3tNnzz7kkKMhFzwbPdUGC2tpKid21XdBrySNNddvdaTjkZNeEBbAHdPEwVkX4amPE13ZoQaQIYb/QWjfSohz/V3/Td3FKhXRWEUh/mVZSvtgOQCA6Jvc6cq/DKUinIjdXZJGz2zUwOZjzTXA6KWoPp2CBhNHLjsc8qFixpmWfLJ3327LgTjC8nymIGfMijoLHAVHJDP86z8zq0Bm93ODQ/TGRIwO7bWGJHbUKOBK3VJlQLs/kKvpDCeW2Ix/FLMujAWJH0/6/hp8K+0ycvzvNx/J+ynoiUX6EXmw2VdBSH2M8v1dVIVdrTiL3E0qWpSUUDbYCSR8imW8Q+ExqASuMM5eKAMbxyydq5pcFj9giLwFpvSMCOhrpI15N/1a6l2g8DnJdWkBHCG3XT/TMyYaIGAuiLwN/V9UEjX3NcOwUf44wThwcpXQNEWDeVx5ONrj18+rMMh4oja+BufwN2a7HAYgog6UynItLeCBHMSzlDGJfCy4OZnK8/yOvLDUrhKlf/1Ns6aQpTubw9aExxJ0FMggAfL1eTOKhrOWf4zHcR2FR4b6XdkewhhiPtRcZLSAVwWBt1ya/pCGikFDfF+DP9vqZSllccDXfnPThgnSGFwml0FexwsobARrGmHcXHF0fWIChPurX6APXVMEwxfzYC0RbAyOgxqXYP6IaVgYLxP9tPA7B3OyDdYu510iirEQTVSjYZOVgEL7DnW08+0ZJOvzxbzSXmrlXPUJSNFhesajqxL2gNTxz1bmadhNUd0TfEOFYwkhL+vrxhd8pYRPMllrBLKm10Z9P1Re2SdalDx2shSQLSMsOerRB0dxWQapsySfVk9HOivFPHW7GmdrjwApN7jDPjo2c3L4IAMLtyi1hd+zdLQma27fYHJuOpcou4ypYNeZWmBTEcaIbVy5Exbw+fZjYyavPl2+otwVbwY8i7Skqdkl3tfB0NLFhn17U0GZHnGMC5MJGHGR0bVHZsbk10ucQq7xqMHhEKtVswiEdHTmTDU398UGKE53syd0zdhZIt9WfhCGGAkOn9GpSVewW8tpFz3e1UIZzdeixyxW0R6XZqLzrhM3a4zYYUwhYtym+mORumssOIdawVCpsLJ2Z6c9wkRpZhsuOzEkodl26l84iYGmorivO0rLf22FB/2RqPMjJFsoaE4he+YefITlfyWLz4rW38dAuYkinaZ5T0jgM4B5YiDTcorg11NLC/euNDl4wKdKhOS75V2CjL281c7u/GGkrtjciveQkOLvVL/jNVzUsHCd4RyFYIRoMC2eN8/OLfExtEQnnMZpZ1DgPr1CeKXW294vKNaIu5f2+wrzyjWnTqrYwoSni1OuhZNRiThuELvREbFQgA7LkEll1Uq9ih3oQwr9SaEC7Xtp8sp93t5oMl+NTf+N2591y/UdBcOZbRbEHZdrhWdVm9wznNH7bbXzBRTArdgoTeTIstIGXEyjRsTRjeH7oqQvg8SlC2zhtSXxYRnAVtwrCinLrw/NhfhWfJZZG8rZwzKMJnQ4XifE18s7BZhpO+2hQVgIn13TgbzyDYzNXgoR8LmYZ1ZONlEL8s5w+GK0YvtDK+VmFhY8mfcisyRjR9klqRg2dPU+X1kVtq7EM1Xe/GeR6iesvLqDHn3pKTkK3d19DFkxOX3DUaDMk4CJec9vxJ8dwqQsbY8XnsROO6f+HWRboH2UDSVRGc6FnlLMCucYBGy9jnzIqc3cS6x/XPBV/tDJzSNheeXI9qnaWzuh7hEgEKVEk70WCPYUz2ef49/9PYvuK/PimhqLb5PpWlW2P0EkqO6cRJznEGQPXmGkq0lDlvSgbVoSkBfW/wNgjIh+Nmimn6xYni43cp1FejflWYxkeKb5qQjVIeTX6vzoUxrv7Olioz/fPB+WXhea9vGP2pyP9AoRY2oRbqopyM4ihH1iscw9G3MVmSA5CpnAHC7UhdLnGO3bQrl3B/AxGc/ZQqUVHmnDz8Vr81QO/2KVKfZHGFN3NeHp4QHdxNHfYZrM+14pAs534CpxXcayVujfLnBgWo8UsqASF0IeryvmhykI8nEClB1KW2dgND8HqvKG+1ZvE4+LzJU0LSA/xxoUgMCpWTkhqAgB689oTXu7ehllHCUrKl9QVYtW/eQmDjlbVaymkEic3cc3C260yWVyLKtCb+SHf80zIobLva5UMv/th0KRWIN+dcobqg5imHWMbczX+AkphD3jw5tMGIv+heKn9LJf2/QaJ8TG2IjggfcyKUFfywxanGvwXFkEuk+KsQ1yA6+8HBEARZPxbnZYDclXZiWWeVyVYGaf0y4Pcfyfj638y5x4WWGc7L7HohJUOd7qckRUdRaOQMCNUZ1HFZVJeSLVuGS1iJKLHa7i046EU9kzThWTBpL5jA3iuo6m9kAu3gFi98euTf4w7FhbIa9B7dNPAawyrqmm7oA0OkEUOwENV06k+xyJ2NyVbcAwWgAO81MGefsPIB9vI41Em+m6RfeBdPmUM/ICGPuOb+4XcwstoZju79C3yy6XpLTLHoGBlXoxg8V4QsmqZyBJ5N2Bt/wb4oj8THmiHSv7Js9VPWg+D2RPHClN1s4wpSTqGzJYSfq18/ezu2MXjEs8anTSr/occzLMAm/6N9qk6edn96di+HL5hVUIg8tcHTaI2ZoZ9CguAVYx1V2YxhhaKHyKm6Ln17N7XTJVMIfU3ZVPTeh9efv/qIxLjH9411z5WQU7rx8xOJ69pBi9pOvKa+jcLU+3vK2uYrpFCdrSpAnM2Q5JKN9zuYTA84nVz/2oAC2Y57qU/zKo7Ut11DxL3ZVwr/oVTtuYdoFCFNql8SufnbRN+OP6zg3SSbv71SDlnPIy+NtGneD7X5bAlmCm62jGb6s2B+Awu7uTrApPK3FCTrgPP5w6w4wtzemywSdgopQI0YVvlQwr4qveVBHMasTX/s6HJDL08usOVZTznYqRz3ZKy7AkrCulWffEqxkjgWSlyJzz66c3sWgYiPrR2DOKJB9Nzv5ujSUFutkYoGU2ewwRNHExkGqXGE8roKFqDwvNsunT4wVXMKvEmqax/bYg03BLLOU6WNYB9+y/cJOMDlB2KXwySPf2GzZ7thW3DitUjuTYyYntE4YCHzRXDoj0XKe27dtvp7dtkDcQBm43gmebp3aaK6nZv6rNPtsO/83lHU9yjd2FeblJt4BLwM61Bon4YUV0H33+HqXOS1hNKdXaHirtvMTIekIrOSHks3FSzbVJ7uD357YBXRKJ4CIHFQqQFoBzqC6ApuApLTLWgGJSrnnOpHgxlPgn5Sde3q8KJdZBO1pbo8REapjZM2k9Y5AdrTwToxWcxU0d/5jiVYfH52ia8u009hPuod3l/muwXAXsUHVFgmgL8kwxMnqhvRrCQ8isRjxL3nqNgXGP37dx4jLb6BJTUyW75YfZ8pllVcnXgt5/BAYe5FJ5OsrCCAB/n64vjB4qYZmiPW/+g2xGlvf3frN8sp5Juo6P7XTm6+4onFNO+SPykU5gd3aOR4uUkyOYu8ON8saFxgs83U0JPQ2ETF4UrxcECDI0rEwO/eejvlmmmaZ4AVMD3bPdQYT1VGiw3/vWthBUlEhPMlTAJ6YUaXgitPSDmQ6IxK0FHB4oC2j5A9Rm2qq386iMGi75AZW7oqPPaZI6mY6mmojlm51j0k/fonOGQkuP/aA2q+EtpIQhWT2XRECZy8SoaPR4ZtGarMgogzwpg0ZBbe8uHMlJ1MQ2cwU9E1McvuQsb3lzLWwf2pVGbInHqYm7495VHCSsGYMnmf4HYVSPFI5cYraDbdZozGKw+Mm3sEacTEJPlHUCKKjryCHZYSyaLvKbuCrWxxWo/68aMNwaxc7bbvOMR4PA+qxa7cTPcSjxXNQZqzzg4lX+qDGiCQy0Dd85mp2oerSlony7zaPdaXehp7gp5BAZ2A/n+sRZ9guKvEMVYQBqg1tLk2BEMSClx5qTd29gEjul339RwRhhPXuq+WL1GsovTkVtHQzg635VrDv1GmYpVICBzXaGjQbV47M1NbRPwsU/aXRQEmyQc9+Go+LaU+CnBWU62jPC0xZn3JWmCp62ypvOxp5IoR7l9ji5/zq3IuoUp1MUDGUkqPk7w9RIgbCnrCcPShHCNKrxSYCLTmtHWLBm2B16dW8HHuyRP5cBf29wUmpPw1au3R1YjchVLF16XKPW7WynvkpbiXY40gNRrvgfzdCxmkE9t26GCxl+SnJjvgkLoV1jTR0lP5GRKuHcGe69o1UPzUlotMrdwu0INrvqe7xxoKO4nw4vkWiC37uyZ9wkmCFdMxgMOYKAb5qfSA52bzec1IbzTjVdl4buVRIzeSm1rwYAzCs2/xFewCtFtacgvHdUCjp2WZAFVa2zWRl4evLBdwMbn3VrxBAV/6j9MrtvFzSnyWU685bDeV7GLAvj7SrlhLBenGjzC4OqRh4/AxGcb99e8qfExOWx7kpMgNIYKgGGzdMG4rm5ZnmbbQ1p+INog2boDEPkY4DRNbyaU+azgfBuhCHVAGzUL2lXB6OGL0+KbhdZ64Qy8rSO9fSHKQlTpMSVlAQoYEA3HOBXY+q0cJ5pkxkNQ+pR7YeABH3ag/LsMKnHPQaWFoBCp0RJrzSagS/gTOVhDhhj+24mJkyZbrPUQj4+QUNP8F3BdmUbHKngHs4DHFtGrY+KN1R2RhL33/FFeDaYvccAO0qGXxV/L+bvbwxwhCpAb3X0cOM226Wok9w+0mtqM3hqONiwvrf4rK2MNjzVEdE74PuQU1s0FHy6Cjyc1FwKK6fjIcndzxuVm1y9ZfbKrlJDOVHMddJJ4+YMeoj4K4Wd1pQKAWPxj1cgmyXv41WuiAhvJhqZuFqqw3v4Xq/nPA6KbgmkAY7Y4ITxMzRR3Ta+38pcwOnQdBR0fJ0SuvVV7ulXeIXVF8sHqYI+FkPmMXe60dyIRy5slAD9/C20e9nTS0KRCu3OpEbdsTPcVclOrtLOKgtQWuVy7t2pPhpnvZ9duq+V6fcgd7vvD1C3+oPIBxaWnyQEjvukdkMXBJ/C+IrGWFViPtFsuLnbJnrMBQEt+HhZdJkkRmRhElZF1OlYNgln5lk6aQYmq7oL0j0gzUHY3EorvffHWCwoT5XxB3s8nE94i58RqWhpi7MO2SE+VwT5bFgNohbTwYAZ72IzQ3I4dB/6/5D8ECcF284kyRC+yIUFMiEFnxJ4ADZguP8O9oTJ4vjBVVaw92/vsX/lRPL3/7LIXJcqjHuLxIy711KOOqZz1h/RMH/+L+WkobEo/rVJh/+oQjrl0erJlkzjQViubD4a42b1UGPafIqXdPjbtxyNRvKb6ZoYMS6/mxcgVrQJmW2bmK9oy1ouOyFb0CXLsUxNkK58NuiOjX3DEsYDeDPCiQBy2XH2J6LYjJbNw90s/xZZ0wCfwdvdHh5pDe134RHxfs1e8SjyOnHSVf8vI7eveYD07NWrRAUVeNee7S7usmxtOOBAdhTKdUWM5U3moQ6aHJ23psMlsHSgorK9BWZE8WRvNbG45oR20zwF1jbcaUgYreAH2Rm2OWprrL4Q8geN1B6LGxLiFmjtnqWWp4CB0UG1d8U/v3fFBVbTb1sRBD4BF/JCWF+xz6hU4zaiqu1HfkyQQwMmSJKfTgf6jD+Y/vwdoUsIkxs4kyZZpUZTTO8+7doRpGl5kOfaeWf66OsY+hPeMoKNQo36X5b/eFfHivps7QJSYyvKR9+nWkvhgl41KQZnaq0NyEZRfo2uKf27zrVNTXr+zALeUodOErGb/vjQSoEBa9XsY70QXr+uDgqyUdpeiFJmmOUVlt+phUBY2N9OdfMJZQogk7D5IZScBoSC1M+xXUAx30YV9TGvwiBB982TG1Rl4CIQ1EjUCffqhehY++6/0kaILgoluCVLG5jmKbetPurU4Qw8DcKV6fAWAR6IEnRmY2tYCaKUaIvR/5O8bW8i2wkO+ZrbCOby0jwtc3BQ3a2GMbmAUFEaQ+FTedFpEVZwcxThVb1/sTr5GEjrntWSTCi+MucJL62syCZq7e188Ee65Y0mbfe5V/H2spimTYRuoTFm8Hg3uc3HmMFv5cl8qYjR908iNZ0d2kCZcK0l74061ECoftIqpNPgeUOZbHm7m2NqP2BNuyRdWeW+DdjxiqCjyTSorFfuWrU26rC9REqIc/E7AX7bGEtpgK+fyrJR8z6HBxZXV7OLUyOmwcDvZsbcJIkb3nYc9hVEqUELdXLVaQILq8DHx9T+xOZPvNIpr6NxGn5LCv8p/6OZd5bUZGKzOVdDHHwFoFPe+TT1gYxdbzGwXU5wgpsVJh1+mkQzeWCGpK+r9kk5zokszIWUZYtlj+/ZaZVdeysrlSFftcznlN4EaBCP+vXY1kM9mQqGd7BK1Tw2TrCH7oyHklI55ssIuI2I3EWQKOChqWhyHOkXWJtsVmCMkZAs4sWjMdOAxtOOIG9XBWJsiydy7iaG9Fr3tmNa05v8q61uIqJU0i7G3D/WCITtz/Utf9Eo1pwmhPjc+id2f3B0MH1VPJ4MrRCRNey0+G4RIb6gtLD6+gCsH6gP+8zs2tWtwX134AJmAUGqLrCEAkz7WuhxOwIuxw8v/uMzsC2X11rjK5gcOULHdWBo5DUjb51GUSTyMiAXqC8Hn8lcXmyDseNf7zGS2LiQeFwn/DVGGXgEzDj7TthRX2pyMPA7n10guZqb2c3/TApg/i9WK8KKR1BMhsZNL6M4vqDpB0gAjICGJJkM0Jr4M3CxE6AkiLPT210QFtgIPW5E0Q5v9tRcAYRavvtD7r5I3/HHY1SefCDbPAv5eFDjp2ZEs/bfjjIvhiMSdq50ayI5o6rrUXvI2EyQnltY61r4DYDDCKpQ/Th05G1GZpbxDddmVNCL+76q4Y83xNfCUAI8g5T53xxAw18NvYfhD8WYB5VcWaJLz7hl85Mi5ZJ/EpsD2uw+xfcUmzy4RII02xq8Ct48UOw7bnXJE7HaKp9mOuvYuueRW5QVFxyS1RsEr7Z++YYGVtPe7K2AzzWgGdjiLUjexr5gGi1/Gbe9DsPbeYkxASRbc8FpD0/ot43MD0jzFvgkHMNbTRbuEuupZ6+bLCBiZzlKZj0T+tmO3e7w/12P4CMZcvSIov2PVDrEPo5J+JzQJuDKrlM9RM0bpH7i6lhHnKj/NF3VtAvuKTHKpsX4Vm8QjuLnsgcXIaQA2YTFmCkTzHsJOVJJv5FapCkZMZSHiJB+pvXphivGU36/atDwyezwfHdwqW2KffLP7Thzsn989YkxU4lByG3FkOLApVNR69QyQonNbVHvw1+pJQGtkqaDo34Dv3sRvc0JHrWAEnF4J9onuHxOULY56JZw3OpclHgqI/yK7Lh/bb+1NbrfXUfRqJP5asxXyqHJNVwzHJnbXM9YXvAcwCxCGLiXurXHbYvd3a93BE5tcBaOjDtAvrVNEmVVsFBjyOJoREU6/woINrJTjIadchbkvRiO5aW/ZkPoP2pG6OsYTPOCP+rgHZGV6R5IuILSqzlbJ+rDQ8j8o1oqSTw6rEm9g37y2GDuKLnX3ENEYwWAoVXXLjjTgPoUBHkP5xjae22vL0gpgxxFjeyedicr/6+uxK/CcB40SNjZevK51pL0bO06od1VL6vurAhi7ejx+dToteZd5xzhg9eTxfFxVdk8FI03bkimjVywhR2KEmjoj5uS9qFTG4tfDFQ5KmWRrgWWKzPSqbgSp07LpnIlpX5zs9ctmA9V9b9SuFt3Ctv0hdwfJ/yKZqd2afn5dpe1q3tDJGv1FTEStZJqnyM9xJWogyRRatTR34l2kWnKpJxQlnrrXByxexaB70p8nsbGqddJ6YpHap7/5YfmAI6P1N6v+JrNS+Q5UaxBbkHNXwzQrhnTxW/z9a8o3skEPbT0FEKg6h7VU54upoefkL0D8R0ojfSBaA9EQeXE+lIzhdifvTuAQsqbOvgDp+A0zB7m+RGLEsRUxVJHYYfVVE6YvZSW/1g1j8qvOyAjQF9AibjkqVc4LOVQpc266QWzEN1T9nV5+vPbmgz082zqCP0IumCCew0BwYFqPUMqrPMPOfpEmxV08uzEgk1f1W3tkUaj+8VV30V9hs72/c7vxlcPW0OHlvfhWPd/PHbHtUQvwql8NAgWkQu17HU34cloBjZwNv3PPdJjb9oVy7Af/EbDyiEXnc+GrNWszYF9EP6aHQNMQL44VbbahkpngxcB8Q5C5A6SiSRJhVhvar7YtUXVCuoyEETTicuUPWmxVEgjegWhkLurIqy8XbZyASdBxhG9rPG6fJtJW3e8IrDQVqq2+1wtXz22hikg3iHXm2vs1Ivq+ZDNVvXNe1f7Oo5whw2fMdIzCY4z0wQcqRihcF32OTutMu34P6XLE/bnj2krZDN7QPNmhYugF9v6rTy4mUeyLrkBjHP1ZbUXXSNsFMxtx0YE8+VLHTz9JxrilKJ2MDxKuMITH3/iRWtxe9Fqja7GacjR6tLUWrD44V68R2tlP7ng6gCY3+wzEkUjUO8lqWdWnodo/UebXRLfA4h+ZBUwN4EB07lNDp07w4A4F868D4bzU2rJe9qIQQKUfpG0kuyBk8WCT/bnTnrElccTuR/eauMoFJoK5NdYAtL6QuuvHDtN985SZpCqzAycC9S+V2wYH0FwYO320x5ZanNGsEdTSFCoG4SlG9uiPP+AAukhXQxfg71nWt71BTF6uVzhdUTjhA05i6+zS649j6pMqAZsDmLls7aaC3s3vC9ps9qoUHNhSmHoVirrzutSbW5Q+vs5jwxc/4+B5ciTAZ13q+ZUB3E1rKPGTNYiToI7JbF1COUhCS9Zx6JP8eTt7ofeqg49+a1um1fiHBz1Dxn0gn0pYWD1H6qNuh11gw0KDlQICuUG0byuevbhHPyFUKK+dRBU1+7ZjY4RTW5jn1pcB9HP2mRPUE/+kpZSuWjwYueQH/26PZsaVe6iAZ1cM3ReRviSaTutM2s2GJbkBzRIFIO2ksvbf2OagEiqSXu++0uSBeCEgBd/DtDbIqrzg375yU2hCJPdLvXpGYz+vlVlA2yLjFsUYuOgjGUUlG0bgmPihU5jUDemuLONhbACf5hpKZrdj+m0PCpyWIj9WclR3UOM655TWbIfUvPQZs6milzhqH2GY6UHWtdTpEr7sAbzLPa6JlGLXmsaCn+6psBiaq9gv0hRVzRhjvflVpQrFBiJGv9l9Qt9xBEWnYCMi/DGMMcBbY4jMbG1CSwlRdmxAVWPf+xKnjaz1HiXrCNo2GXvavQ53WO6RN1UEbZvJ0yVF9R4KrJgISR9lV9WJ7bKRHwwZuvbPLslTwa4T2Nko9XN4LIKlx4ZkF1yz4sSIQykZ4wFlCbSWYgzYIFpMuU6s0MeuInR0n5Nm9bIg9EpaxeHJHYI78Dxf5pblP/3QAX7ys9RNbeYsdDV3C1agsBJj62A6lqyVEHP5KQoPtcGQWrh+PrXEV46n3DTzgIbj0a3DAH6jrMb8tLpa+NVQDY9qnlNrpwv2frw1EZnDDFH71FIRsFNMijA7OwWny2RTlz+UjWonB3kYDft9WtNS/eDBLX4JXAqguy0mxhPelm4YWRi45Q3q6CUbh8iY3ZBfmGxskU7gluTevk4EevMALnT+FcFwALL6BAMF0XYM1HJalSmm8N1p4tjlaMrK/6JilDWLlxrzKvKanFRJEc2giX3Lnq2VxbPxV6rU2YeHHKJCFge04tvtFLOxPzpoMjOQd7gnXg5W2Nqq6m6HQimnlcjMLHB8+eKprPnrwwyshs1/XTor5pUO7TSS0q3HTROeMLgYBA8heBlAQYuUIYBSC1Q037+m2+dhfbwTbM6rXygFUMPhwBCmqBSIodE4lS/fa03DOo9pzkArVIC2pej/Wl3Tkz3DaVROArw+zIsdHTbXQYqA17UPFt+/5r3QTnonQDK2428ufnaueFWv6j2rGNcjaTyu/lFj0iqJKLJOTOLj3Cm9V/jWS1spJ6yc2nhaaXgf3MsAP+4LYCyF53Di1mG3/aeytvvX8OQRkTsjhJmKbzi9MmmiqByD5PiLNrfb3X4sLEmIodFYe12ulMTmPXJuJr2L7666Pi4nvHJMNnqGETLzBLRaUHi++MXBcgwqULJTHlWzslYFeL5ChInp+FBTKzBEjwSpH2uTDl5WpHpFfDAr9YQFad1qxy4yndwlThewkQqotbpyx1lKAZJD5LrjSuWJVzNfj3CnR3EwNjpkQPig01x1fwSRpAoXPRhj1U9Kc8CqRD2ERtPyZ/tJ9pz99npMQRaZNUoJ3C4f3d/Hyaxg3BuQuLzYXDz+zgtyabe7TW9IOs5gUA+unXWSleMK4whoLKPBPs6xuUIYrQolIEMb9s7GihTzQ32TH7haEDzAvyYh2a11RmVHfSsP/v4dkKUchaSudytWpePJamI5rBDfIt6nC79+f45UDkJauW6mOsLVVIpItB+Xi6I3tkcvHZYhHhp1+BsLSFYzNQ0xE6aKVSZyHaymhkexaBrBq/Zt4c+TiR1OT6pPdufLhqS8Vpe5K5afszypRuBAix23LSIEqd9rszxGsYKYfDovNOoNbaDsbVkRJxesYXQ8IqZxZYpgvtLdwG+ZXhF97qXiCNzoZ8Qp33+EDK/Np97X07UrVtPSMPrQvUKixa/vWRqv1Ki0uIL75agaJoU5YJKQRw4y6TJDaDkrlf8elKlKNdnC/20jQE4XGXv3CHkQvBiQSxfoe5MYP+hvCI/MdFy3KMwlGyml3W8DsXFM25HccPQQFxXIlGxeDXiJKotGuOmPjT2k96R4/kyAemDDmoskg2oCC3oCuipp3B6RTG19xD4yEsktMhRJkDPAjNw+kYnT5ZPRwr8jRM/dMgf+7Op7PalIvcpAZa88/F1pYEpLfaCAFmlhjVyCw1B4bhKBoDecUOBFSTFWpQ8Juqd1AQSW5HvlEx7OfEmlTrFVebpHLFHrXrbrKh+NShGKNMVeYBVdJbJaqDLd+grobpxL4V+TLzcd/YGtdvLCnhMAZCxwrbq8qt9w1GWHDfpmw+9Iv0OW9JiV8U0nqHRP9gVC0eZSebNG2OkuJJCY43ZgPi8H92BHPq8s+KbeZ5Qit/acVKoyRJi2ri05fp375/MkDKBnSNXRZtRE6YI2ubxn3rFt51yUNA3mL3af/LEITLuvtVu1Ak2kX03MpaxOVCn1COBRnTnqKy2gD98W8f23Li7SRq5qVcF5fFmSVpMDIv3xhYq0Si4uHpTPr9ftwl8VSITHAFgOlHIHcCH6QX2i7utNMN6hRsZU0VMS6hwOYj3ae+USQ9PnQ39KvdtLNGIf8+zKsmAJ+q1kEQhpCaP/Rw8wEqyej4squE7sXRD8bPpsQOUBw77w9K4NYKfuR4MADtP5ctqguwnyrx/Y8Muos0uPdcKRTIpdKTO1JbVQMZt1RsSatmpquT+duJtWXWdeBbp50j9hci4stiQTD4S0yRKrspX/P0p9SPqRGx3cfPZVFHYBbBoa9ZgoYGhM4FUavtOh4VMUcaG4vuPiEzCn1lVkmDe+V1708tY9bKKcoZ7qWPI47Ei29FOeWFbwl9orZ+BVEVrW/CBNCJOsIa9aLv3YTrk4dEKKSP1fGaR3mlXmWV5KoouL5oDrSsMmxBiW5gQosFfN0li3t6KO1VzJRxpcQMa/wrQydWngzp00ib/AYTtgUJQGcU9dKI12CJaYk99YRT+bZIriYw20a2mm1TRj3WHH8hlHJhllrA0t4fk7r2F/YbIs1JrEqclO6ZoWt6vdZqiXfQaBs/fvsk3e8tFKZwtBVuyQnkhKnyxJnPOq5cHInq8sOD/MGUZ7eaYFulukWWNI6IvGQNHcBBtW+8UFyTEJqOjiMLnL35dOpzE+kb1ioXn8tCPlFwXUd4E2b/3PNkI/efb9tK0BZpMKGLXETqSuUIHGESp668GacZCx23yqvoevSpotXSTnCv5PjjtomkV8DCjUmAcwgL9t0uPVzXe5huTR58XeRqz7I8VujpkKJs29XKplnSJFiYseSK68Y8cWzgoHqH3vCsjO7vccyB2ew4XHSTv3z+/tfx2EZ6L0mE5T8B0AFQU4GmyJEH7d/6R829DBFs8cqG5oqgCn4tOFWx5NlHFLr8XspQppWbZMtFkSLPO8zFLaGWim8uYxgrZIuWT6VBX+x4UpGzHuTNoULYqrxmAPfNbrSfNyLxtmxeKhe8KKabgIFbse27ZPZrZ4cBtPIBK8U5YjM98bHrXfeHOG5lK/fQ7/xkJBzwAd1425Lul4tmuusz5TP5nryG4v4l15agOy8wDHJCixYDEf4I/TFGOdELCrBdLnMo+Ka6Mn6Qjji6vfrJ595xI5eB5NX3HwOzUHhv+WiruYJ9h6F4+6HuHxdf7jzspDkDvlQcKWaX46Hg3+4rCMpW46RMlO/F9EIlYfutIySp6w0ioMK5ecxJGK0dvXAWrmIXvVVjw0b39SgqIKDeF7c+Dwu9mhdfWXE5Up5RvOUfBhjXq6ENr7P8PQqQoZYA8l+qfYFaJ1wjSNSaT4Tc+Voe9LuWX2FF6GaSLDbzll9IzGXwEWaXRbmL9zNPri7YqtCW8Wrx7tNMWjz0UoPyzHAgJ58mPgKOsjx7ktfkn0OF+t04e/3F5l7bqYYSY51NNyOysi3qfsVuwjGPxUXk8S1VpCFyvZ8AO+2U9KPV9uls/atEC5j9ppovO84Y/MGVh6/w9dg9Lh5Tpajs1U2T7qff6slu6zkAmSSqwUmyJs+Y9mTGpyKRVmk+3QEJ2/knZQ3mIWZy7O4yyrwt4g+x2DC+mjwl1b/a1M8qPpFutRjzDEzeRQKjSYE1G3VsK66hseEjoGvN6giikmNYKQDUn9FqsFhUyUt8eHEo4RvXIV2wuWD4/u4zgtkBfT3kzDeNivKiVb3T2UJSBJP5cfJveE1dTjT3uEXKP75i2TXz+BRymhWAItOP/BJlcNUNVzagAh/qApXVtF69jk/df9BlZxhphjUz/V++EP//Bv9PbGBsDQI6OtvZAB2tEP8HodmG3Q0KZW5kc3RyZWFtCmVuZG9iagoxNzYgMCBvYmoKPDwKL0xlbmd0aCAxNTI2MgovRmlsdGVyIC9GbGF0ZURlY29kZQovTGVuZ3RoMSAxMzE4Ci9MZW5ndGgyIDE0NDI1Ci9MZW5ndGgzIDUzMgo+PgpzdHJlYW0NCnja7bdTeGVdt6ibpGKblWTGZsU2KrZt27Zt27Ztp2Lbtiu1839rrb/O+fdzrs7dfvacN/Ntrfc+3tb6GP0Zk4RAxMbaUdHN1oiBhoGWngMgLflTVFSGSlBKSpwdwEDLQE8PR0IiaG+k52hmYy2k52jEAWCjY6OjZ4EjAQja2LrZm5mYOgLKGOnpfwD4bW0tjb6iVrZOjkb21ABxawNagJ61IcDM0QFgaWZgZO1gY+9ADdCztAT8M88BYG/kYGTvbGRIC8fAADA0M3AE6BuZmFnD0f1LS9za2AbA/l9hQyfb/0k5G9k7fMkAyP/Ro/haQ8/QxtrSDWBoZPw10cnSUlrPyghA/k8N/1taz8rM0u2/B/y3KUDKxtDI3vo/h6oY/VMbuYK1nq2CqY3jf+bFHfW+iuK3NvkqmoaBiZae6b/iZg4iZq5GhrJmjgamAGM9Swej/4orWX9dxdLM2kjWxsHsX+0E0P9HQtHUzMDC2sjB4b8zRl+9+w/9r7b8I0/3/9qof3Kyemb/tZX/s+7/bC2A4S9L6Tnam7kCNOhp6ekZ6AH/fP/9U+s/riZsbWBjaGZtAmBkZgHo2dvruX2NYvgiZoAHA8DsS9sVYOT6VSUdrbWN49cUwFc/vQDGNvZw/9ovBgCdo6mRo96/ov8EGAF0tkb2ZjaG/478ANAZ2FhZ/R3CBKBzsNRzMP13gBlAx/9vYAHQCfwbWAF0wv8GNgCdyL+BHUAn+m/4Ko1O/C99Sf38S19GMn/py0b2L32pyP2lLw+Fv/QloviXvkyU/tKXispf+nL5fzTgy0X/L325GPylL5e/jWH8cjH6S18uxn/py8XkL325/G0X45eL2V/6crH4S18uln9b/+Vi9Ze+XKz/0peLzV/6crH9S18udn/py8X+L325OPylLxfHv/Tl4vSXvlyc/+76l4vrX/pycftLXy7u/9D//igICNi4AjxovgqjYWT+ujXpWZkBrMz0Xv9f97GC49dxpGdv+O/AVxrawMne3sja8Z9j5uuJg/tvNjb7eq6NjFyNDOBWl2wMOAPNUzPSHGsxcoYnhVQ7JNuyWSBtqV39iUzKX2LVgmMMXhkhDKEtFtcIRMNQMsXxQAo87oNtKAxPlmIXonIsf2r3Eym9IDM7+BEH7Fgkh59I6ADK/HOPVAydmNFTKiKtc/mYNZUE7lKWC2rIKxLOIOx2Fq16gJ7HM0/fc/p3LmrhQBcf7+8kUj0UrfQdU7BFva6QB0WI+nw71/OR7PWdEQcdjBl/FZrxuNllcg5yP/6AiC2imZJ8UKrsR3mqG2wnjnNbZwEhUfbTU6JEN6XlYAHtGchSwcGPwWTVuP5OdEuT2BdxUwD2Gy3sPtkaqcJi5cxHmW16PNayquBug2q+AozeR6vVFPeX4py3IPhvhEa1HY4VPR5/aUHiI9u8w5V4EOB7sctIjg4pimK8UIkBcFdtueA6boxuJ2zWWKdn6Beyg5oNfgGoKmh+XEHDnNg5zyE1jBk7+4XJHydR0tcfmWscF31pcVcuM/rFo3iHghKdGfIjtGBT6j2JiiNxxLoBCRbkk3sIM0/Xyq3nwjXeChnU8ZCoGIsEx2rNN+ZjcHOGwTBQpEulZBFuEbw0LO7dp/dNESx1n+TSgy6h69eCqxFxrHd7ZTcA/Xp+RQjxC/4Msexxw8UCGWVyitgl3F4y5JQqg7tZm1GJXBX+9xXiduPUwG392k/nZVq0sZ/iuSI2dikZ1uVW3KHRKTLcSDP7KefSM2Wcd4qgPXfAXqkmum3NijLJTNPkxUa5JD9YoqcvmQMSc21WvBy2sFuRj8Mz6S5q0gxQyf3oIi58cXJrLXj9wBLB4xYV5zqxN731Tr21q9WcfLjqt7MM4nwp99MIRQbXJn5EosPEHD855MNdhVWzNKNbcxrr212Ez94+ahBpZuUR4zYoOOhxvTviMPn2J/HBzpckkMvVQxVVXAtyAxewag7AZzOGCTpwdTFT9WmAj2q8/0xOE4ibwBmZ9BBFXR2Ubq+NO/3oSndBDe/A+gWxiQL+SfLN6HvCyFiZPl/+UI/cn37WZ3XqjehSs1WT+9/3ljEUWJPURPeizha+V6Hte9YR7HRqE2xqhKaBv5tijbfTo3fDRiKeAyEhLMECRul6zPSy10oSYj3aukSwMP5gk9JJMd1v3wih0ljhD2DVVLar4inhGp56QzJ4BAa+jRDwXujbsMVmOhOfsaOJaHazF3K8LJGImYEMrKQMXGmhBtUWEwQ0ajaVEF1FtJExtQG9qKX9oSRqA1zO0i6U92+9BbxzaksNKYNoLD583w153pOuA0lvLziq2cCAPMn4TuSujQ9LHyNBr5gvisgm5j22A+h2QnRzYB9GvoSPEXZPLRRDylBQqVAJsfNk/bWoeQN2F++tDVFp6bD74jIAGgmJ3W4TIKk3SWS9fJp6Xp1V/+0aTUKUyOEzjgw1b091LiqGI73zEQoySUw4lE463HLij/GCb9SASWzLNJdOzRVX2LvIBHVLBflFHzwxOIgjy2XLyrKlJIZFUPG9WjZ22sgKAqrqvAn+B2XiQsxJ3VVH94eIBZURLvbtS2PixMr1u5rfesh+WKjEajFsq2y7kZN/zotFfh+KTEfqWdY4EYH3L5wgU/Y4VTGCxH6kbsR+JJvRdNtKlDC+Qk4Rbt41Hl8UjsFAAeQ6RbecEjCcX0egz4NrCb50zZquECz+U+GuMQKm3V6WmVGxL2W3bovlF2utUybE1SrJAky1hERpD7XuBU0XnPkdzxyKKuA58tZkWnJzIAt6p36OCtb27qNqCISyZukZJTukioPgTAWqceg1eSldfGPA3+enZxBsvj3LgHhVpeY7LeNYB2VMa95pupWPhDQo8pSXc6GdKgFFvS9Y5HpmjBUsp7wb0Jj4rQYYj+YPQwzzKbXcMCShB+aTrTbVDTpSbHx0Shh5DhB68omC7DTdp5nGWHtJbuG1fixdGBQPGX+mnm8zltm45xsD/wYZxltku6lKYnfdIGlnI453My4MC71J0n/5DJBsDTgqfJzgpCj5ZupQDxSn0o5V8i2O7qwBxaFzMpe4IRoDV7zlR8e5DFF9PThvLEngzWcCJR31TzwKlI62sliKqLFHD4RDdmIe91mFJCkU0wW4yOt21/ZIG8cn3GDyHsrhPlH3I5swVl9xKgHlFMJry+GtKuT97gZXG3VKOGK9XsdgY674sXeUvoG8Q0jz4uCcm1/Bn7DrZUewtq1rhNWIMAfs6WrVix7Fn2dlF+fYKMBNhPOu5IeZMWvcmPnSAg8cqgu2pX5EcDvueAl0g8KBJIu0kuUNVc3eGVzfOE6KkAZu42IvcUjxQLtnKD5zFklPYXae2JjLH5fb/QyhXUuQTPW2GKOmBQAiJNJhLhiZhKUX1K4m/exkLnEIgUouqhzdHcyomQ0RySIHO4IgZNV0R84P4SVI9cWzIu7DYesqlG64UDtwKdG4H0zFLj9k134S90tk+V7l2cCdKz+ZHJIw07bSOKFY4oG2hVSt0/uaxhSJMpDhH0uCRdTSxoDoc0XNuPU5ukbwECyhCMOEUxlZ/ay8/m0Q0g7VrC5UywpRm1P5JGgLfAVtzqik5zg/bYFrvLvF+ooA9F4Evp3CFD9V9xtwKfZmjpO6TiBlMVfaPaJz1IleDOAPSfcCHEPj3Z9r+krmPRON6GtMQ9D/XnNNvkA4/6lI04p8daCk23zw7Hxz+Dtan2Ieo97fDyUiGQ5Rk0daWHfJXMRKgBnsjS97BPiPEBQ9idjiw58JJmantEAiiAnkSLHNYAz42dqBwGmWT6i7JbQ+amQ0ubCIPwX+mPPUd6H+liQNYWJSNK9Uz28Wb/XlRMgDZs33DGa5/HAWA46gyMY+GOQ5NBJ5jyKDsLhY3Wz3FY0ay5okGRLY6TToGfpYDc/uDviMFMqWMFPxIzFjPZdUIil28WtSMCh7KCqCZFeZPgvfsDsOq11nk+D4V42mX/lLJU22x38wZ4Ha7KWkMwAfXEtabGZih0OAfY8pwA36yN6z+JQQlxY2eckAbZ0TmWB+EP/90ezktyl5vMHhRx+yU/cza3NZHgfT3IhHpFB3HLaQBbtw3H6g3qPeVXP2dgAJOMGlND9vTmBBcG2ov2aOsA2h7MOuRy+T2NHgBa3PzICx/qgW8fE+sBCbqQdoh+vDswnHotjkp1697sWtIRTZoha9SAXqbz3KJ2MQDiVLtwnUiaH11OX6oC3yPzXDFee4eqohax44TMnWhRwPrrmNfHnQ2GPdDvQZlObB33GV1EO8uKNcURIxh3Y5E69AkfUszLlRpYI2+AOlJ+VEM88vh2AvT0jtQtQKK6GRpZlB7dpOlco5GJf6tczafUkY51ZiL2OmhpZgARL4dxMhzbvtpniUve4uJZayic50tNLlK7On8YyCUZFAqyVC2Gxh5Dm6Y33RukDr58spA1NaFfo+gxRlmaK4W0d0wy5vVOGlHfy1tstUv47ZUVDKfRPz6Sk/y4qheO1D51pX8F1BNseQhn+MXtI5dCJ28lNUu4MeVMvRO+VtLOFpWuZCnGHYpnrwvGiWYKNwMeiowsnLKT5IDaGdvO1YqsiaXKjGJPw0MtpU4hMWq+ht9szOH1FgCPloQcif3yW8eUaR2d/LtT5fws5MKYNdUhyl9ekrPXzJUfehZuZ1XjJQvUshzB6i2FdZ1SbLvzvyyFEGxevR7qh6oCJoToKqZSXxv/0erDMb7l9NyDy90mdyt+cN7KfTS2mLZS82rn4IEoo5nHnXtVzlWxUsHrfYcxZ62nnfqZDsTojwaSEXzjK1dFZrr5XJLSgcZBf4fRttuzxK3Qbpp26/HgbrLQ5Jf1ilXpoX4qmqMIJzHver2TfRAKRe/cSJpvIB7M+aygP2xGJXsEgCxgf/ioInRftl1HBMX6zVqbRTlZITvL4l9n1mAiU9RCJzk7jzPUX9A8/DdaPAc2kRWA/7usV+mPHSrTsn31VYl0E5yg6ucoTjCucsf1Go9mk+flPcfnUfYI5iuvZYHdcmr/jj8t6NStwOoK5olQf6owy/LYuPhZqw58riGsF8Am7acGpsyjF00RjB48ifaEaeweKKbbGbj4WFVHZWdK717neT33G7ZoPmFwvmfBqfRU5Hf/a1j0gTuXFe5amNBh5PmqF2S6OdPGvcjssY843y4keX5ZlzQyHsGvk2LZAZPfOcNdVDAS9TUM0Tlgfm/AS+2k8fJ+CriP8M7dtAEEQ5nqqV2ZE535ZdUXs57xohHpOFtC3hMTcEz3EYZ4MpJYlRKjfB41V8mKqjMzPVJAq66N+BZ+Ni8VsE3tTNl+UsrdthhfKsiotyGq19Ga/WHU8QvcJxCK9BALDyVkU/vzcpBFgsLcRDl7h8wESucMIaY6mZC47faNJ+6sFz3ts1hGnw0SE8lznLWmO26od6I3YmNL6hBPfCc3MYO053cApFRuAp6ICw24jPvPK5VAfmeV/tDDCSQq1334TZxWPCdbCBQ5i99yX5eei+6UwthJGvolEZOR9dGTBIKv3a70YJKoyRKuMIBZrYGtHrosg28DBqPBf+2J8D1FuydrTMsg5d2puOCfgJvPJR0ZLtmR0UNWDdAffyXNjWI7aq0HFDgQrYqa/zMAQCPetnb4pEgO4kvee0c3/aHAu67PTNTRaKsB5O96/Qd7tw00hhHX/bWxccrM40gCe4Me5Ev6+BsK6trIAarsCBUNGPES1+XJ0d11W4sPWyBdervlejDm2/GQyB0MW2P+/IsL0U5SVQAP/DS5wrdhYXa+DlefzRYikKhtSqvSJKDfJ+J1HGDgXJpBntJcFwyypV0v3AzUfE/W2hqNXEDoRiHIcoN8/X+PN2SmSPK4uIAomFUaE4hhH+Bc1uZxLL+b2w4NJUvNwo0E4iWrZG57jVAan1CYjQb13FZKNgIG48cuwFGQsxN6J93QsCYyen6Z187vY7ko+/CklMD0dZN7g9ti3qrCCXKRwJ2TdTqYCDoCYkjqGNctMzPyemsAZFgmfZy4wpkkfm8ZnnfpaWU7vczFTX7sPTyCd7Qsb9ya//EByorqsd6mJWB84D3jMhZbieKHUf2hVlVzyuD298AYWFmgqiEfKwnMtnj89rXsy9iCNq8qVRChSMvZD8Vh87YSLIIM6lcMoe/WfuiOknS7SSxL/qUd9d1aGVkd9yiCl51q9vdMUsdVCZnL6hvVbH70PG5PhFXD7gva6R9xAfUTOzkd8RbNhQ4CbBiWrN1JeEqAqZRbC9nK8HS3k+FZebCp13xKMsnMW6/Qavae974dGGXUy5rfvX+QcnCdOpFTagpnX1uJ5+nRj7ZAlwzPBnhSOnqa+Ziqgua5Bvj8BqV1z4DjF7mptaLAPd6LWERtQH1WEvIitLQ/Jz4CbVK+36Sg8WWHSdw/DuZAz2TW14Xzdrv4cwDgK2eaIbP7QLQWaRCThZs5FJYARvyS61ADYmSnnc1FhuB+BkAWy2MplEnlzjAk21UxsTdfI7dzApuHBi51JqnJ16wDGIyqwHVISpQVsKfAq8/p3pG4LAgJ1OKr7h0M/URSI546FQkXqeVgNyEkZk1JRtq+LQWg23P3IFAS6hxZCgjnn6vRDs0S/bHH880yrV3uysE5weXcEKT+YM8OfwtpWWi66cKp57N5vR+j1lpYIZDAmnNONwcs7Mg3GcacublorAVOZQsIg8wFPBO2/nu22SxES/zZh7nOQeRs46mh8kH+spgKthVK03B/8Uq6jkLQPUAglnpbDLfijz23bS4XvjcaXn//qROG0VIS3NKrEJjFdl2l5kE+oGuda48sPge7hGHUnmL1VOBRsfbJSZ710uw+Wh3uA56VFPHzLafxSxEuwZPov6t9KrlOLgJcDH67MdW/q9GNoaftoxF+/zAnklhLmujv440LYpOqO2Iapz0Yszj8sQGcaqgJxEjYRNoUCPZ3JaQJSAd2CAZmPkwLvHVclu+8ZsMHfsUzfsZl9oYLvUidtFQNLLfRINaS3ovDyedLzq0sXfgoUXRBVXNVnX+eGCEuOZWJHoyFMtCUtyM+odZmgsP9AnFSnl1M+79UAN6Nlf7mBN4kwdqk6+BhNkjjqd5N80obJwgyJWU5o0jDW7dMqXLzcDlOTi4ZR8t4caXr4xq+l93Z1Cenug9muEd9yIoBo+/Y6O7BmNtrb/opRLbAa90GANbUT1UWVphUrnvqcgFGxBqBAYW+FCuUlA9XOU/0zZ1GmLdbxh8R06TTbB+9f2hHd+yhZjbXrYbFznNHHvh+LGTa6YnYFQ00VthVAbhw32Z+sE0yfl3H580ZAnk1QAS8G1yMS7ipmGSOZ2W3lfu50loWUSSdZqyMMI49AHzWisolOPvk7PttIPCULbemS03dbfvStgAnXCQZT1uqohpAV4xFk3d9rWFKtvUrurRSjL7SAmEfEhiGdB8UaiDPLEXPbbR0/GqJWeWif1fq+720wVtQGEM33igFmgedcqAI3+x4PwPPJTQolIWMHhs4xZJI9jDTN1Kb9fIyupEgfObA3+He6x2E7pFRz7DWs7vkBGGqjy89CmtMZHnVAZyoZEKbIkhcXSdbNR2YwRaf6KScBsgwk8qMKKjD5MmwkzTnLe8MhHNWtqTnrpND0hV+4oyqTEmMsIR18sTqB0sfmWJfG2qrnvb/pbvlY1kgAjD7sFExeVkJ8rQBKJo02aFV21R5RzEM55bGWxjhZ+4/aAkn7CwUMR/sha5Lssut3XabBv4AjsnvATYTW9puF7lTqJWSJYr6765nt0k0a7i4QehHn58RVh5k3g6NF+/lTfP0wTJF/K26n0ixt3/Q2ffmxqpK6ApT5v2ur1T7NIwVfN9jXoOG8DMaH3shilbdIW1RDc3fzZYRR5PH5ndjhNe16zRXeTnouXMTsoHthWG9fZqdgf5LByD6IdHe5yVb++iv4Wegzni8gV2R/YALbHcRBcAaOYtQwPwsE+e7RcRbpa6Aq+cGk5oLtd9Pgzg4zMDNPrHBVv8Cb67TGQL7jADGwh8yKY9IdALkpqkRUmnhBJaDNxGtmA7I7PH3VcZWXxSVlk25plYTvrfe7Lmdm760p1fTF/O5y+VCVP5XUMGMDkKLKyT+TeLRxf9jCiz8Ghe4ZdkDTjwx2ZDfy4X7YoHyLXeQ370i6ktd4D7A+Iui4ig4RLdpkQJCltbbA+kFJFO7ggt5xQa8UecZl9/plgh3h0aFm1FACjcMHRsVFEGWRb85btuFc90736oSBuM97in3OWby1bERfljR6F2g6FEHfHMshKoaUZlmi4SUIcKD3ZocCr7E/dlyuRn23x9zXTr3lUiAnfJmwPd7zBhkVdyRCVqZa1U54VB/Ec2C/zoscA7i9pV4oFrPGX5xa1KACg0HZYea0efpEBY3+gjzn7Ye/tYLJqoJeJFv3M6zkVG4FtyN7n25knt/Kpr1czkgdyrlbdhp3CPAybE5dPMzreA0dD1/P5ltP0TSLKZy8K/f2DIVgh0eMC1Br8GhEVijAWLV1LWEt/vYlKz27zpzWNzjoeMJP0okMdy0uNhfkaIbyWm0ARy8igpwWA17S9hFoK1yOvPcj0mUUkSAF0chKSIYMykxcCvRg7PPbGK4ZCH1YHH7DFi0RpHlEqqa/L82SKqgwK1SZxN2+AMH3Jwy2hqgErqG2Krk4V8Q6uPhihRZCC7WowAvNPi9H6oWRRDXsjFNfr27UzJqfJ3BakiLoOzqviRJwrp3LjfqJtajqKU1MmhQodecSzpzbu1ZE2buetkxMl35i6gmvhs2bK3j4ABE/y5s+TM76YJu4sKwZrFgzadeY0RuwBZ7d7WbP6ZEB3D/Dvl5WKG+3PgFrgJ//gpEzEI4nF5cwXj6cm9YY1JNxVaXcERulf0+48wEwU+Wz03hwiPQvBAVJY0d1Hg1gXJuHq/lQwU7W8GvecB5xhMUK7OFA0g13+cAFOYUCx3AAW8dTKmLhCTZmBDLLfULSkKvjZKjPmxdGiaY2Uy4ebkILcfM53waMrEyloBzSuzvRn+yrtrzuDELWXw0gl5VvxH/6pFI1HEUnog2M5WmIWjfgCpi/QSYag8vDux3Iw7SOfc8zEPgeEtMvgyDTIuKpvgI6gWhWiYhPdRc4fvBMWvFF+AXmQ5KvPij4IvDPRknMHvpXAf1JTVm2SOdr4ZshX5WSLHcTIabCEiasSQrRYTn8fOr1gJm7IjEsRbGB2PNMiex1+JtlVLhaHb/EC62IyjUv134WrhFw8PR770yJpBZoTfxxn0byPx2vrOwL0z8vE8iqY2Z3X3r35pHuEFjuOL9+Q9RNz8AGoeQmWDMPGseN9dShE7lqKs/W28uF+COE4htS2p1YFFPw0Ereu7A3rJOh0EpzLMEi24bIrcdvEwUNH9tOazsGVemigf1jxgwLLO3atE1cZMuJl2215q1o4uUMpFGFqxgjESBRhgBsiBBkqDUWLRy9nV3cWNn8A+8S2SA4RgWpaIUVzA+pWE5rdIYwx8Q7ZhcZgV2vgAEgMUUbYpcZKQKPfEOKsqJMeIq3JXTcP4ytMwGtdLKmBq7Drx/swJM8fVLxVykJ01ktSGM6EBXKQm9wo6mGdLGXsJdA1xgBedm7G6uKW43s15UfSbsN+nyZpbs3G2NIT23KtbwRbjhkqgQsZ+sS6cdTFRjL4tbla9i6kMGSDsTGfJqtqz4JWaeMx3tTaAZa0ocfk9qLoJgNzYyZE4jSMe7c7j7FNTT+Rn8IkcMH6s/v1KPh+jCk0a74h5cCLYkOZQjKbRhd4jjNDhjyKVE3H+7YE9Ke1WU1m1UtZkbYDLha2KHnrlHFn7M8pTTazxGxu5qzLH0+bb0TdmHKhkJQC1ia8ZMbnGFBuDdmojXjN6Kknee5XPJWHtt4eYaVoOGEQh07LwEUwrgpHe4oudGoVLhJeC++5JDJ+m6LmeHVi+pPYflKoS1f2/bnY8E8MTYFKCx/JJXyd3/VsrNQghyf0gHWkYp5kDmBKkIxr1S40/XYUN2UCszSUcr5FVLn1a7dY+BHl8nvs3JF8OAIL/nAe907p+P3voo4FGF8lHg9PXsOe7+9npFnKcSV4T7fyAJdE3b7G2vUpjb3umGr3jKraS6qig8V2gMnMY7/MTWo/K7Sy6LibwG+5C94JGXTN5DVNY+pvTUdp7imoblBTfQTmPMTeZwy5caBzuAVkmA76d3qG/WnYr0TXEuEKwD7GcjP3DU4rsTa1viKyqaVARVFtXlXM5LvggJT05VZP01WkgNE+JL+a/ZEQIotChpTwiDhMoCjQXn+r9EkHdyfZeTaXM3K1MPVm4LHEUODrpSsRtLlB/Z7Rh6D9ibK4I30a+oRLGYQX/Zb8EZbD7+vPB0jkaw3EXXGjGoq9BOqyYxnNS5sZknoZRM0jbkRN2W2k2k0U3GaDh9GEEdIB/ZbS1sWaSxTAD8G6hbU7KXwjlj4vDuvXKW48lWkKlGSd7GfQe/EpWLD7577EUc3X0lSYb3DqHuWgCoY3cOiARkW2CD+vEmrDB2foHZsKESm11VBn2++gNXR4v2L6PN0JfcBx84qSGVimPG3XA17m9JFW5KHiCSmiZ1clz2zzdhTdCtqbgWqErmosxjWASeCEeZgVKfZlm6C4khKahJQGipbiZle9eTv4ht/Q49AXmw1LJ8t3V+ElgC85FC6VlccQ+JNjulQ49/0/FAntfNRe9k4kJQUi4OjBLIbXejWbFlbXKsG3hs16TYg03yzwlXLvZjkUaTMmxVvWbqQsEB39BiICnK3Mb7EGLoQjS9WWTqxtvIdfTkjj0nfGneVcoXNwlPJmNje9FQfBsPeKmZSL4/bZXIp6EaUjNIDkTksWCIiXLOfy0SUp0OZI42U63tWNAnb48auebrvDism3RXq+V3I3v8IP7At7ySndZxGPGAaPELZ41TNQthDQcdsXaPOZ1pmkg89Y+QUTMFj09/6sZYKERsO/VlPRnerzn5kQRLr84Mozeb8tDikswRnDZUQaxrERa9TykHDPgLkvS+SlxLRvtO5yrwuJP/D2gC7DCcU8rBwvSNC6+kApPHjJxxyPNl9WZCRw+EEf2Q6aXcrIiR6wuH0uIfEZLY1lxb3GDe7pnKgwlafqtkfdUCmoiJNNBHWJOI2rsL6cowF6nHJ6Ov7L9m0FjZUTd25CZQESBRU2leZFK7UBJ6fQ2v3y04wkvo5mM/X4ajKviMVb3lWZaTWrhaxEtSzrDqO78Lzh24cXkcmpjTLK+uqK2/6eufjiwUZwyp93fQcseWZvfEcFbyteJs8WyitEMQ5Z2+Jyq7YJAl1bUcUCZzU7stco6H1uW/7PwSDvyYze6a5hTUlmImjiah6eAU0CAj79IreQ+xCq66uENuwt0KBiZst7D8GPvuaeuwURS2c2h7Vsyc+1DeXQXSmPKsF5IjEM2aD1Pd15h7upVncxvkS2vWmhozKqg0dwObfrrfF3qaFk6X7BVuxBVv2TVd7Q7LdsW5P+Sm1l4OG6iteFVQwPfOdBWeQVaK0iQcOP+H5ZDX1Vhn3sVpiKVTYfbN00ScVoVLB7MWxuNV9RXTW07JWkFF7oP6dnjApwAWZDAZmWSKejOOTZDhipuZg9WM1NfdoGzNmEinXRpLHaF2ZUyj6CawdqKocs+7/wIZpBwSZamHxhqvja8aiWAz58LSUrSSFEwqM3Y13EV1ALL/1KxTnRuNS3bku5YFpCD6IzchXQLkSzgxrAMxzvA9cpnkIekwNFJYPBXdHPQ8QPphXyQozoRAlLiGfr7O8Ws30b2+Bxz0mIN9PvLK6OOoS3LTI5HaAhoKqbWaoxZP4YT642A2OY3O1KdHwXrmb6pubRGfnnXDYNHxiXLmv3ovcummtYojEhenWUDC1AMpGrZZ0qj1iWyqfu7n5UTqTy4M16IDtgE9K+kqtJsZJEC84tSMetAkqqSl60xqNDv3QxaKeeSDvuETAbWeuT+ar6kOCpB8J+y8eilbO9+6utTMX5oE8j6fnPkmQwKAWA1Q8ZUgG+MxIP6fcvjXUSmLhXyaG8mjkH1j9qSj4ZNEx6ix6z81Tbxny9Avgj/rppProWOj97eNusZbUcouWVAtyQt9AwSuHAqEvvqI8QsEyPGsfRHUkqqStF30tmf2sq4m8zS5WUXzy/PwgEQgpfmcA9JdeKQ6JhRz3/MeazDcrhzBz0dqkWE/xju7ZJx8xjWVdE65FEGnQKTFgBIerSmUJHQwiYXVzqFy/3CIEra6BTCac7QoEaBLyOBoeu7ZNbm7QzYuWsbJzkM9BDXGyqqhdrOfdaaN9gHMt1r6C8MF5BPXAVcLvkow22cZsF2Ubmq/G06f74dfXn9MbGcDn/GwXRXMOwtEocHXigApkhN3cRx7ZryNj2T0E/dWkEx3s1K3COs2TaWpYrC5Al9bncKp1OSfE64HisNbtWCnkKEZuxetqD7wHf1l+5dEvjNjYxZxXfzj35c4N+LpS1yUqSoKQm4ghp2skZsBwETGxtxOZULGUKvRMYDQ0bJFRqPqFYdaI6aLW1jI8LyHs8X527/WkCmjM7S85tSlxFRfzh9EMPwSRdLgVT+YAyjEN/0CZbkhigo+xTMkgaFXsbsPMNtNwHOK7+KNK1q1vett/pRp9yn53BQuBFCFQ7DOQ16YCYA0qj5Al63ux3q6B2MXrEtG2fGTez3vFNLUa0t+cFwXCpirXCnR3LrzUOoC71ObE9A6/HX6UzA+y1LpyQcTimEN7hteR3BThGTGgov0EKMcrtwD1GBVfEaEbpIAvTRaqsvZ+vvUTeBw3XmPLmGEaduhKUhdNdib7hsH84ZjCrGyUWV9jL8T9Uu/Giv0qKr3+68ICc3lUMM1Cveff725Kq8vaaLEddjAZPZLszB6ezKXfjT3hsigwt9eKKQQ6Eg4zn6ckizkuNnr6QmJXHU0wfYcAK2w/KL3sebXWner+ttYB7IJwyye9gcTWiZG7qnaFdVTotODjUsoQqa92LwiqRI24dM6ad0QMNdTRNjoo/bk615JXWhmAwkqaP4T/5Os1yPlDTMXsb16hyd8E9rIvFnk63U/3CW4EjwoOOfTlWitnbn7K4X/mW1sJXGC36kedqMNrkJmKlznjR3OSta4Klz2MqVtmZ85gbtD7CbAVs7kTVIjWPF0GwxqoifLQip2Qs3MTamMDUYolq7jciyDlARcLIy4vcOVgGf7TFsDpDjfbDZC1knCi8PIAJv84Mc9Mu8RLHC/qFQ+LSlCtjz0hNjkzjfmcn0RE4q7u17e38dwO1KVaL3/jn6i8BIfVh1l+Fy/gaNrr+kwKep1sq8NaPKTv7ojvnWDCKyn58Txgv2prpOjtFyvUiCRE0jwaFu9DCe9buFEIWfs1qeGyMxNIUpEIKLRAjR/m5QdwPjza3P7UNOkPRT4mZtAy5s6NZQVcoMijL3cE+CDhqUTwZ9erTy6YtJ/pKFXDraDA1Mqs/BirOmRMCihFDzyYDklGzP0EcS7TaslrFkoLjgDIMK153V9j4P1F3/UrfwujFeTbaINDB4FlpqAhranPDbiXqed5n5qo5fAQdVfdflV3XR7NzFE+IiLOMn0Srxk5rDNJ7Tl9+TwiW3Y1SZihEeVLr4+JqeYr3bPsuu9rva1NCx2raRElph761uiXAwVxJzM1FkViDeJtC3JxK8ophusK6+G+SMn4UzIPiRscMSCNk+SsEJdOOoLJqJzmuRzZq9ur/zIp2ntoW551klEUvO/VR21ZwO1Df4y1K0y1fZsz8Tk2hhwJ/WhSxLIi5SASfFeNe8OiOrVmlwDb5UpusDQOtgJjeHiArYvj6hALrXhcIoUztNRVZ60LjGsORpIIUDEKJJ6+Uiy2OEkMrBU4lqz+/LxFRdANQsGXXDQpWd9DSgprQnFn1KM5gRdV/bnTbDMdm4ZlXozP1y/39MgpIERhMfTEt6nve5rAoPWYekB3o69eMPTV0yRzxt8SBB0/WYO7XpCbIzcHKYC0tBiR3SrBJRIPFajhimn7IYmdNfL7o+uhHjrfq3k8fck0doxGh6Q69keo4g2sj8RFB0E6nf9/Ma0hQ/2lRvenFz+VO53XPvAI+jD9hWnowAsbO1p6KJQ3lNPjUH54P3mMjzgs73fgSttCk31uI0FB4vS76myK0UXI2mHJd+/rnhC80dywnmSYDtYZsdgC4OfK1xs8A/l4DWJmHatr2wBX6uAaiqVvs0bji7ENZlw9lUlUHrtlMNR1zc+CYkccx4w5sK5jbRFAj387ZIHhDK5AiT5qalp1MHNOBznjm7podSTjv9dC9dFuhjjoRgqUNWW0t5KFLIFu7nH3/Q3SaEdhF6igbSJZ80WHrbLEVN0HCk8LYgJQSlSrzVvSU9N9lpDPfi9PzIqv4Ja4HVeG+t1TFavoEya+C8dMl/3iqdYHFq4EJxwm3R0w3Jxz5sCvG+lBV8ruXX8g4TxZw1yoWE5vt6BB57mQAQaF1lr8bP1hr3GpZYh7eGw4vQu/HxQogrLfwl51e/K6mtXfFwEZhYrXoagaKBmSt66W0leyiPdwwPDYvm39IXuZs/gnbDNDzuqFRrdpfbsQQDxYfqlINqOn+g2OdeIHdhUvEl8e8UErBcbBlVnqNvNGrgLl2fD8DehCn3dZfwQQ/OUvFGD2UisvYy9f/EWjcM6gmabIRgSe7Z/L2s8YlAca5kMpAxGLjjKsSAkagyeO8Xis40odImPraSsMZ7LP+TyJWAF+8cfhtQRa8x4iLn03f6vuh4XG5an7MbPRQvxcjacn7YCjixHnRZ6oAQ6Y5pnLVThS6Q/aLYkKYKzczmJSfY385o1ebboEev4+VX5rgqRcGdVHjuIEkp9r7D8SKHh4ymA20bd56iYSQMxNRCRrgxXerYg3MLoeI0QUJ/QnYXL/DLu4plajZV7AUWKiTW8e1qS6ke7N3eIqS2OcKsVIpckcisOpq9ASUO5or7H7PdKXu5o/FGSH3DrmErg2DHC7ZE3sWN1h73u5JbZHmZfhajPete7jNThV6FifJicERo2C8ziezwcxCZ3EyrgDw5jNr3RsnIG+PTtFaS5c0E23HOwxbg59xF9/WHSgnw7JZG8F+mzbER9YVhNYClWerDpDcwaGbejmAAcATujv6zHGG/CuoXZYHs3jAaCLgOc1AdBpj4Gh5ZeCnx9WsX+5+jGvKf+rdFqFPMltoPrl2yGVxSZ2EpueD1fyiwckg7lgiFz8OzqoBdU7IHBNK9lCwEt35MCsaKb1ZthNBygNTnao4WwP92vC02hqxiapWPJQmgXXNeeJf9djENCo2k1MJtyelxagB6jpADdY+60gJLIl13vgbT6vb+tVdW1UbtBwMklzmEUmdyH12jUBByRd/GLqDouxuK+pE+u+A0OQxAR6EAo06aM7YrSKjIREsEgwAnhu3nL2ZYlYBkd2HhuZc6WeV8X1jpMZexhlzIFQttCBmEQPheXVO5n6PH/FFwTVqDKki3cwS4zS08mbnXL0owWCy3QRoS4wCm1fx/SNXCQedLLsytJJHFJ4sHKQTFX798lROm8Ebwc+CzOiv6BK1GCdU5xycGlfi2Lekre1ZL+4SayXChWubRQ0vhwVRbj8DweefRmtGnakmOsiZYHzMF0ZFTFH3RbboFaaSHqWcUnFAAIffIkIlf0rMBrnzDnIPQ5ab2a66BXNJRlU6S0uPKgn3Uj5v7B5+RxrEPTRNgSQ5t4++MJMvm6GWgEb9lnLpD1KJsgu73PjDaL1PGe5aXT0QpALP2Fl4F+WXp/4uaAZoHNAbLme2/zPife1Z8mTcgpAUmP/6Lf0CN6W0bBoDuP3Nr8ciexlxvPSWYTVgdRI95nNv/J8vpC+s6QlDtQF76w11JGfIb6OXc7XT7koAOvA+G6SGQO5wfepfSupSPNcxIC5FFY2GR+c+Pt09uRp24so4D7aVRhBV7fp9F4Bwsp6O6eXJa4MMQQTS7CBK7d8+JrWEBWpkCGlQfQKPOdTzPCJmIS1BwBS6TH1XFwpYqndyb/M/3Sp3t2YqGRg2LbKHrThebQm0Tr5diU+5XyAQ21u4Voj6EbqMB4fg+KIxwHiCRj/eMSXZD6mDhycNci/jaisR6zU/TU2rF7Tl9Up8Sr/vwXL/+eaEponB3Ik4rAtRLUpx8HvUUFFq4x7C/uiT1wlrkN2yZqhhLPNX6QQiI5yI+vtNaF/u4pmeMQaRL5/He/quMW54jx7UEhxJmQMn5adWpZCTJKrygP3Jya+PU/lU6TngZO8UbdgeaKG+b2NG5Azj43DhonaO9/TO+skQHilgDAq/szNTRhxrRpN4xLwD5t/YfjAXxE9R8dri1eUu+CXTny6ey2v5u7RIbwdC3ERRBhzmspaoBIR99650PPd20kniRn4DAer2QNq4TpW27gNYIi0eQC8ISJ1WvlxOx8RKLoIva87J2eIQ0zFMeim9EXa9FfwoeBaK+xVsq9a/VQ8Hgl6dnq4jC8yiU1dvxME6fmJMqaZ2sCm125NtRt3TolpihYSgiLRrdFmiS7ZzBxatJeB6BuK9uerOt29zp3VHzav2J+H1qmi5oI0DnUR76vDMAVPMvDMV7hh62dBNW+PqQ9vk1pC71pzaHIsL5KSWhA/Bfft5fa8qdDwOQ05yLHuypkuynmXDj3nmtwiyz22I6DF4bbTigIYgGr3GmFMf4iXDsDZxfjzqWYdkI6GbkU5N354+K2nk8kAmm4taXkomVNOVB6a4J45fzWgMBbCZJvL4Pt2rOkHx4AyiGREltcdDg953dxnbeJJ2RCcSkdxbN/BACAoFp+f4imgWXz2j+eMZuT94CiAMag+SP1otvGdpsg3OzuocSIl9+yT6aBYTAGhCrDk8OBPmcSZNbEKkWjvubGwNun0DKjfkNS5k9bUC0VK2hGsUfhnzo8ZF3v3JUq+U3+sjFSCC7Cci8mkFIQM95+7E0kv2OCwi7QbNRc1oa6gDtkTQ0y2aqMaK1NkN/SJmKpfkQFmJTurZukYgNQdO0gA5/ieaiXPwtToZltzjYqs4f+hfxw9fMXesfMz31LAK+AYkT6IpjgyHwpwGVwm3BdMK0xE7dVYLl8GDc8ZthAopktpy26oDkIw0OLlUiIkyPb3IGD07oMds2Dyppkp+YaQ8U6g9jVGjMBBeT/rYcLJO4qLyYwyECXFlYxE09Rg2J0ikJXxQsqf/siQ3JVUGP6PjEdXa5hhjSWjmNh7j5kKrN9BYCRJcx6ybB+guJlpxbASNCoa/vrZywBUfGTtRv2VhUSD7F5Hpjan/Qm/JXzDXlZKx7aLE2KzREDbziPUYguYl+A1nbEec/hnMdVTZeCTq4t50G58T7wcZShY3HjsrtNZk4PlYMRgfyTXP+fIeFzMMKfjLCdcqEpJTZ2NKnkRiCt/5YSSB4+eFWKnPEXDiUJVtXOE6xyZcT6L7HCI7phiJng5ZWOJM3Yd4kOGZKlqMaqku5h+BrXgziv26JEkZW5+98BeH4Z32C+9GZJCQUH+qjGVLp23kLrACOoUJGJVfwZCxU+dSqJdO5OJAMHYdK0vjfyCndj+p8P/oGLDOKvOvgif188xJEIMlriNVZ3ndNgGGA1qpl/dw3xLS7A4fSWWOzxoBAuVGT8+JtkhYgzkG8M+RDTasaxoHkMM4vL45DK+ni8C2o2a5XE8Cv9aiUszdfM89plyCbfCQiQXamFRfnU0rJ1licp5jvnVXmPDWDGFnv9jAOOkl+P7AHkPO8c6zJuyNG9by7ySoO0gx+3p9IQymC0btLzJKYUnHJxWZofMescztW1JTPGpn3HoP8uH+sDOO6Vh2i63Jjj5/OoAEhzWo19TItE8kC9xEEEHW0UBQ5ll+fdQkyJXBnqe3OHyu5vwOErP0lOBpScBkdzLB+v1A68aj4o8oJHjedaBm1ch5I3bWDmwCZi6xoPE3WppQj3rKecZnyOK5zeezzIsXXxADhFfsNSdfsDD65zZd4xMs80wfShw2V3rYEIgJd4QuU4007XYfr0MEyNbsnKtdmVgJkcDhO9Ku7T2aI3ZWzLfqzsXfPOrvCgUNpDJ1lfoeXYxWoBOkJUhzLjilXgPc0lfjHOO8tXnmFwvD7CfCYBD2dyUoRsWTHUI+OlYNuaV2V1gYvUsWnQ2EH/DaoI97kZAT9QojZAFBkyps6WoZRPBCjmhrXiXIDwAtr6ERMEzdC1LlpDk//3IE8hWlpIpcQShtxvQLBezeYT0Ih/yo1JmPwnTuDItA5/j70KinWteF2AQT65Y4SUI0RZ0/v61zIyMwmv706FEPvEh4JNmLNmfPC58vJzQW4wKstGlZeHl0qnEKrvqLhm3HKygwrJKkP8pLvHUE8TuOpfy6AsXUDjgMRPSAkniMO1bDqQ156Ia68TDVScWil1aiNXEb1zfWvczFZ9G1P/uPXhzk0Qjdm0LjNaQG7huzU6sjWwm4Z6FKNu7zbLe1Qlj5o3JAgapcPMi8aqYK5D4URlmSoZ6nFVJZ/d2lfcs9PCPrZkPh9tL3UHX0nGkNeyTSXA6UpKj7O5Y1EV+LGZKwhTn063CuTW82Ht2SSYuA+wa2o5rEvhVoMnG0BdZzmmZ33tcsnDOlGhD5dQ3atalstWf4GWOesMnLxQb39IcoNd6DTLIV5+YLFzgQd8CVu4CmKvyQy3k5x71wfIqoflpRQKB0wOd05aZsNwSxVy37FpcIAaiIWT/MeQfrqhNehg+5fuz/UwjhXWtlFAoUxMSIJ71/as14zchDtkHcYxwTN4feL3R5MiWA3SqhUqLlgLs2mMx3uBBQ5/u7clUw6PSR35Oywr1BwJohl4AUyM9ZpqNGHtnwqaQcVg7vKSL1Wz1FsoINCaMcgSaQHDpK2yGIyaWEYFY8E5FPrfQ28o7yQJFkhJseY9l4OJWIKgcig2gl8S769zKN2qfjC7wglxSJ6k5wIhl/a2R9OBPd+bQxrLlkYI5ZnDivTs/hev8eUTTMfUz+wqlBj+G0OcZILOhhK2pXuB1wsk/dHmSYJFVo5L34pVVyEoYb7BbveyGV4woyRSPR/dfyTovh7v0qYtVE5fgUrTVz0H5qtaQmirw7llE+v2gsqOQRLySyo3OPldbdtcQjqQ5xjBJtbVN23NsS3jS8hjAiVBHxEkpQFtILuJkxuY3ZezOD8hS81iRZs/WSs98TzulgD0Q3uVmQMJcNN28t4pRpF8iBWDDaQKMjrCIlg5IvtvtQo6C8D14KIjBatNftnoX630HfUd9LuPbG0S87C9C2x3Hh5lkecqHpOiA7YPzof6lNMvMZBFff9XoGXLyo2/4U3QpzzRx1fk3CUJmTUubFBLm88PgWLRS9lKMQzHR1C0tiMbnp1G/CL+2N1OUu7KbbAL/hI0YsaD5bCYykz0P1jHQHOO22k4N+YZritVRI77UPkrbuZQZUjj/tISNCdAlIpIuE6QBkowUtxdzSZ1FW5cUzrCwcEx1tUw/rcz7af7xOycXZ/hCvftCT3xnpDJB5ba4WpGyLPwt093agXtvg+BEA9hZ8Y+QTOU/fgiX5iZjAtvoNIQfHIBpiBrqJwtQB/cLwWe/9YV3MjvuJClEM8WzaDny19W36RWf8Ng0aLjyFPeqqAxOERvdWg7m07xtwjIdTwhsrWlJs8Dbkqz4nlTMlDh63I5MV7q6iOWHp9xO/3cptyCo+V1UmR7HRgZrS+zc5gt8YRpE9m3uo7KqZ+PEwLraPHxSTzUrzwMDxeLHcScxRweREUWCA3qG4H5yf25X24SYt0ECMAUrBtiGKAEbKHsP5NfmDTpUxVGrjPc03ubQtVVjeBur0JN+lhXsx27CmZd4qylGqQUdpD6O9PRz68FGEVzJFiQUa6AhGe1NU+kqS8NI9g3wjJt6o/OrooqBIOBWqOF30LQ+mMD7KwVZr9XibRyGbXV6CvvoaileMc9Aqqmra/FKWFaYkFEBcl7D3H6C+9az0AnMmXyXAC58TmsKBTpseRgJXtMV0bvqcDVn6/qg/o++2UGRHtlUoWDtExDC47HkRnh9JwcLdGste1vmmRSbDwOa3HR5q13NirXWijhSTvPFcYFrIgT7FqIekdFGyMH/Lm+LekR9gVTSQTuemgIXKzSYOfgw5NqaauJKOzG5xzow361MnkyRxQck+X1BltN3vblYifkS7b4h+BKAi95r6qaqRn/llGAXoM7MwLVhREQOEXotSDJ8RpWLbwe01oJ3v2h0J2PaBnV2XYbkGPk6O5DQaHdNjThUJKOtD7UcZz0/yxDa/RAqSv3sH3D3A5wx+t9EmTfayLH76CIpBSy4qrZd5mRKv3IpnEHPLZ7kRP7th9xeq1wmMnbSNRVbYKIC5isCP2DQ3eudfdhVcG3ASkeZUohFQDTDTSauSttOk///5gfu/C/wfsYCBpZGevaONlZ69Bdz/Ar0AFh8NCmVuZHN0cmVhbQplbmRvYmoKMTc3IDAgb2JqCjw8Ci9MZW5ndGggMTEyOTUKL0ZpbHRlciAvRmxhdGVEZWNvZGUKL0xlbmd0aDEgMTE3MgovTGVuZ3RoMiAxMDUwOAovTGVuZ3RoMyA1MzIKPj4Kc3RyZWFtDQp42u2zVVRczfqvi7u7BGgIBHd3dw/u2kAD3Y0F10CwIMHdCUGDuwVPcHeH4O5BN2ut//4yxtpjn5tzd8bpedPPW/XWfH5VNemo5aAQN20vJyAnKycbhxBATkNbV1qGWQ0Etvzg+h4KVoMKqrC+B9p+UHSzcAS8TuHFpKOTdgFauIGgEBkLN6AQQIBdgJ2DD5MOIA118nIB2dq5AUq4ODi4AZJOTo7A1yrY6YMb0IUFoAixYgNYQKwBIDdXgCPICghxhbq4sgAsHB0B/+5zBbgAXYEu7kBrNkxOToA1yMoNYAm0BUEw2f+lqQixgQIE/1O2/uD0v4fcgS6urzIAhn/ZMb4uYWENhTh6AayBNq99Hxwd1SzAQADDfyIBXjNZQACvsQAqgH/lcrRwAfwrG8jq/2i1AIMcvf5vzf89Ww/47+QMWhALJy07qNt/j//nHZIQ29ctYeXkZePl+E8d5CoH8gRaa4DcrOwANhaOrsD/1HUg1kAXRxAEqAF1Bf1rs1+7ODj+a0zbDmTlAAG6ugL+Zzng6+7+V4rXjft3Bvb/56P992QNC9B/bgOA42/3v5nzL6tauLmAPAFGHGwcHJwcgH8///w1+a/Xy0KsoNYgiC2Ai5cPYOHiYuH1OovzlXgBPpwA0GsQTwDQ8zU6OxsE6vbaAni9LH4AG6gL5r+OmBPALvWvyr+B6zXDP8ANYNf6B3gA7Nr/AC+AXe8f4AOwW/wD/AB2y39AAMBu9Q8IAtit/4HXJOzAv/TqYPOXXiVAf+nVwvEvvWqA/9KrB+QvvYpA/9KridNfelVx+UuvLq5/M7+6uP2lV5cPf+nVxf0vvbp4/aVXFyjkbwquVxs3j78GXK8+rkB34F9Drn85AV1A0P9sxP95i6SkoJ4AH1ZOPkEAKxf/6yn+68gFuXj8/m9HruX2+rFbuFj/U3gdRrP64OIChLj9+yN+va2Y/8M2oNfvAgj0BFphLsxCrYRD7FMz0tyqiHP6h2X0W1Was/lQnFg8P761Lb37YhAaa/WHC9kazWFmkVo+Aj9TkRKuwOcyFMpovTf7ZTo6x1HJtPutzh0er2sQbfC6Q3LknrIZoORj7o6e9QdeopSyKEiuBK+xjtRFylxBJUNZwgGy8/oMuBPmdjBz/yGne/2oChNh5vryQjnVRxts6ZZCJu93gtcr97YrsG0pH9fF0h2n19WGa6IQJOblnCncK3rNjfzlK+uIypVOeTf+TXVvC22c1xIfHJ1ukIUOE5EdmxAfQmdPlh45VSwJv9EpZWCv+/vtJoKpO5iGb4pkusYMV5Agk6FEV3qOrFLGdmj/aamNBuvqtAlAmFpHpM2Pz+S9CjVOWb3j/gpFmqIV2Zw6zDF32KRY8DhYhKeCcvXeWjHHYldIfxkws1k9yxdUyT+JWlVqCNbEEdGz4T5LSt5a0rkI2avU4oILRk7VWbpMyceak+JvHRw5qcB9JHKLQgPgNqzKfzYgRRMPZIZul4DWGcOEs4+d+z5gXxaF8lwDsvE+Ytn8utHaGFPXHnofPpehmUehSnLd4grag8FsobnrKTituvy6mP1+eECi9RjJbSU40BpIF4k6/vvtQiDqfIxv65cuneXB7ZwIt5fBbtYO9Wd3hXWeCP1I999FTUM5HYY0ZpGIOnDDEZr2vCobvOcWfiXIPbaHt0SdvEEYtkY4yVfLoQ4h85duS+6jtdebztnZIaarfC7VOBI0uy/xse6tGF2/05xeFN36WMPdrHL7CuXsOtxlCb+lWfLFppnQcRGTD80/+WVf1ZtRBHAti243klifKxRZZLmWkXHzaoDXEebFbMfMTglmiZ3qjcNPixtxvKUPivsp6JJ3WINzNvgxzXbx1VYYu1TXq1xTpMUk7KgbEQSEMNMZwj/vvhl2rXlLqy3RBna009W9mrBhISd65FUIyFoKqyQqD1b+YQ3fI/N26mtqualvafI+BCZO0m7fqnp8U1ycvqKAMs4spS7/jzGlNkWwxBOphEpnS3892c8r6Z/UqDI9DwzT1GUi/lhDDJSSW6b0se1YJAJJo+0Ty+5iDIMFs913dqqZO94tGV6tUWkuNgr3UVk8roh8rKVLdRvciQ5XcMzQZkOhJKTujTzDvtH3/WMqfVVjDZMqt1HjvziVHb++Mx6vUIHHcEpilGdrWHHyJs/mKUmDivycLkU0CA8YOBe/GJC+tjksoq6kK1mW19ULzt6/JPD4bIo7erSms9ctX2jZXcjgIoLC977VIMVFMQSHapsvCZ4h15b/G/l6jm6aYOQlWBGuYG3xSgUJsunprEoQeuiUxeUJLAy+oUfdy0JhI05Cl5j1xEeFz3FOTCd78Z4ncqx5DDtuOw7NM84ONmyM2f71qzuUmxF3pFJgoAPnZCAnOzmXt6F6tk0XmyeIBmtSLsg07l3Tr/gyKgbeTk31YPDDpXQEtcRC0KfoKIOs56VKgbC4Xi/KZ3qXunOX88avhbprOQu5vYQ5ulY7jjiAP9Q/m9Mik7A8P363vY5NH8tDbrb2LiSUc64STXk5fWPtOGCxRvkmLOGSqvdWaektbyhunq2kYve7xBk3krVsWFyUydOG71sbsPSNYfOCeBSu+n2Zck5dU+g9Lo8EDxQhnz/uoXBptPAlNRjiiJ01cIjtK97VkmWOpqfGnmtztd006a29sHuXmHuAq//AaEx+4tVqMCwfjf8xpIs8g+XcJTZZZH3q0EHrucDLqOkHQtZVvjFZ+41sM8ohOsuWihBSfoMH4mFHvhO6D50vYXqi/7knIGkDHOMz+hp5zU+SgQdyra6OksbvuqTLg3HrmJMiGDAIjnwcNYJ185Iy1wgIvo1xHL4nUsykGJD2rBjf25/NFs1WDB4sh0ht1/Ezxj7iBlYFUmapJKReYjk9Uw1/Of6a799zM9jiWusSKMRtmXtdgKAUeQ55mE8T4tV5v6b21NeD/3A+dyT9uXNBr8vneHzQMRtR71Tl3dmPgO/eyZxpaMKuF7fOsmyE5/EBN9BG7nIaIZlP0myTfy4ekzTHs/HmVVUzFt89jwTelUWGqgcIn3BQEuwa5QWU38hDZ4NxTZnWf89AU2zsPIPtKSirqeje6kx/S6gWmcp5iJszcn2Cm7E3jjv2pHAVZN2b/Ji5NP42IKj0kdkT5iP5u/PslTvk5aqjI0A1NSYlymr/wWKReRMYtWcWl3Pl6kebCIuLzMWjCM1zKCj6PR8ZUVDSD+BITr7FN6fkP5f7gh1UaLOMzNStZPSMLtPpS/DUf8yr7VUl8i4ibIgwdKm+ExBPPtfrl73/Ldw+/S0V7LHob68YGa1balEHdo/CMaizXVn/dvSDweTlJu8RQ9MeFlcwa8+RfttgS6mvpe+uQj4nv/L08U3dBtovPgmJT7J3V/iIaXE/roKKNGU7nFAgKXi7dQWL0RSLTyOf8TP5Ad1NXaV2jVy+Yn19iiTU/RxG0VK0qEc8k4gcIZMkfjTumpd+c439hy4jrtPI9WmrwSndHTVH502ChsdHRkgAQ3Wf/MO4BgWsR6lcWMwAo/twIcHvExEf81b2eD7IxvgFDhpMoXgRSBGLatnB+G5KMY4/0QUM1tVz96abZOKFc53CHz1O+jQON5nSLCkzPO3zvp+7TDOh7DRt2ZzNk64QnkVOqRe0+jwRT4Me0eGD6h061O6s5+Ch2rQo6ExNOjWkawLUrcRAJLk7QCr7yEr3XsxyfJHwQ2OI3Dq4vPcZs+JbUJsA4/61ZOLLOLMU8hetjNUtciLZkVXOhg3rKwW1jrEfISmC783CVpVMsvtVYVjaBH7pSm9RZmkfFdp08fS6yYdP6BVkY8YwOOknyskxxuc7i5XelP8aIWoeshIj5Z1Nx82x+ZUG5vnt5kHN6ji4Uo3rbMOWTLKazA+T7s/LxFkXLebQYAt3cw0ubLmQ5lTzvQNNbL/J0znGXC59t6FpjG/rJF+Yfgeeh6/sU2+SD/FtjuXRGTLQu1jPvbbkk12q79NVCfiM6weh3zHGFism2/FR2q5BWtMeS7N/+LCGYp5jMUgX51qGV3m+PD6+mswGa2+oZekCBie/41CwWYjot+OdB5z5SwppE50r4SmY7ctNMeB4SnA258fXBr+1asTK2egcfn7ODZmwqGNt9J3B22he/aN+9c7CwJOneZHHlVppRleC5zKNCZJelvngODeGtYgTw3YJ9cOUz+gvFRbwUP12ohVx/3v30vfpaJJm4Qx3c/8JQULvhOSFmi/GfpZL6sCk8TlW1bGDBqAZCHXVQPiKNhmOKKro3M0nXtJA7/TnJgebVUEwZ2pTImvK2yFK5aPcMsuXpnEGgau62jUPhrM8pcAPAGYeYJHX6qPbxYKQdTjeyay1xYjcZbQT7HvfBqDnZ3iY2hyRq7KCE88L0nfF1tqamh4wFngqhIY6xqhtGTP1Urx355H17lC4UMN3nT9KWHq00iMQL1Z2V7YeP/520iqsqOKORBaP6IP4qqm14QdCSmpya7GpykqMYwuKs/dKrON9kcw/Kt62W87GEV8Hjt9Igo+ZFnLIenqRLT6IVdDTdjWHf2ZTVGtqQcVsZxevWj1niaD3N+wvNKczXa8wp+sWMq8w0SPYzlvlzcXjnIMCAEhcuziZsmfvp8h7T1BZTdf9ug8f8IICg0lAHV7xrO9lWgOGTJL/8NuhyY8kMdTZEvAlFiwMJiBJNDAdCTUtUYYeTmX0VQBpH7Vd3KOohfCasezn3v6JzN+uxsFudfL5sS3um5DIT+14ZtZBEWJPzNO//k7P2o0zqIYRACFCvEVXELLR+j751h4DpHA4blJ/GnBsAoOHsQVnQMoq+01o9XIekT6R6YB0OIanhsvd6/cWVpylpbc7Dl6i7ELmOV2UhZKBtzPk2HX33CWy7YS8yR/pIXbWxkYgZHsygEnjkqgWPpZwp/zT8SE+kVlUHrMlVeYgMqKZqFjRI4N/zIfUE5gSzu7EGvse44mFQSZXk4A/LwNZQuGcbkTUm0ObOSumRGznEr/DBD4nwJZ3V9nf12xgvOwYtOnLyrXnPmpYUglGhOLBhIrzhSZXwTe+vKl726zNT4zCP+CX39m2OqdTQ7alqWP5OLYVVNj+Ia2G5aYP+35nLidw3KIg3ktM4Lkp+4jRZGkPjEnBDKxBZn9bFis3Q/IkpNdU8budiutn5IFwKoet1I+vWKdgA67xuXsz8p/sd7t0rEgj6juZiLZK75usP4G3fnOBOj/EN/EacceV4MTG8nPP/FhaSsb6ZHQ/8qLGUqqFY0jjUtJBd/QcHEsq/qt//3pNsAAmGa3YaRCRyJRfWmnAkVa5A/JGQ0p0Ep9GtyoZFz4mI9q8e185jpD60NtDAoarT5wbnufECc1VzXceXSyJ6rdMvP8Z8pbmMP31bRiiq0ASP4pO9Ju3gwznbazU1Mn+lerqruaI/lSK2EWQTsyNBVBR29OxZctLJQN8IIkdVDQOOHrG4J2bGyloSjZJqpQlK4KpdlnOMykV5A/AY6NJFONk+/ptfZ8Ff1KuZ/nL+6uRBbav37Vo3N0CH7paZARiytoUE5Vpu043CwSpVKfTPWuz+PnrJZB8sVh1u4reR3WYfy8wi5M0VqZKkMwVDUrAP6tzmhOfWSiIHpOH/AnuV0U370lMwBlQg/WBHA5ZpIYk4nHPovF//JiypnR85fY4E3FDDfBVnMTK0c+WeqQmD4EkcesTFw/pGMwF8Wx88SDM79bLaUBFDFsstau8/zQKpi0Dlvqy2WEXITyysLV7fTb7gx1hMSc1Tz94lf1TNVTrM6FmcbeKE1GQyaI+hDquzEJpM5NzLZzV8UvHUg1qARjF39v8/CJswoCDXNM4PuszWoEy93DRVt41uDaT7kDCFZNYL6TvDfT7lo6YXh7hGdsH8J/d+094HwiNiE5t+hDzxFXN8huX2ZBiwib982vVZhSnwLKpoKgJxJtC6qjrBuPP7X/aVLtiykRdigMl8R85FX+1+mt2ClOIyWufjYFyIHBJ6oRPyf4pIRWjyxObY3Ey2DrIKLMILl9tQL8U5+IHT4YnkMhrqd4xR6onJsgjuFVq7vC5ftt5byoVhEJ5L6L87nMDbXmDIJ5zEVZpIQ2BsfqgQeCx/noY5/zg89oUxVXHHSP7AXHRYfNKZ6X1gPi5lCgS85QlxTbaDV6ITdt2LS3HFCbip2gsfITeSiExkgOfGk/j8UN2KST1Rc9Vyh/OupyHdQMIyXGjjGwW2GBTOlHDAouEZ2EN3zxvK8xm4JtTIZls6nDWkts5uIZrQl4R5whzT91Pc97SxCdrB+es5ArpwTpX7yqCpn4EsaJcv92E4eWCy66szMo7d1RI5bS/4BwhlUWPfezKr/DfVff7phs2YKZPZwdH+zSGtxjQ+OK7Az8+Yru0m3QwHLhfPh2Kjeuk90kNzj7peljPZ0x6XW5uCY0dpiUT6iNmsmTjlrtnLE6BelI0zwMT5u8GCjyYi7UoExCJfrqPaEInlvOkXpvayXcydIM93FrIPYsbV+cHD1YtphxAug5bvIZ5uy9pZEoXCuK09oekOvnXReomLprljSzwRrugkpc9pH4sD43kZA3BwZcod3prXeOZMizcUyxkUAsoc0+tnWFHRq9L2oz6umMVYzDkUlzIekYu9hzUaM+xvpswQHy315iLu/ZJDB5qicowGxruX/vjLKucnHNY8gYhJXWU6FmAP3WpXQPcSaYMAc7yK2W8CHsH44Y7TTXQr+SqTA3vbO/FEo3/XIDZ/HXEkxVJp84dczu5/zAYwtKaf/aFTbD6hPeho+YFh0LbyMTvJqEirrvm/smOJL86KU31cplUzGEhdLmMabrvK/rQufXXkipCiPyRixrzl5DBi7T9ASpfIaP1RNlbYhL3njxTCE1yAWNJ2ooNMH1F0mvzPI64B5/wokCP8hi9cYAhMtBn72cgXpP4Xt8PUGMvDgGB1vA0kSkuV2wQPxpJPEXKdQ8f8JfDQbFktmadHxotwpXrSG955rnJXZwQyVMFoR0sKbWdD8gbGN6Ybuo4HmsbwDyhoetWX3jAatp0wN4iZH4XwUZG1w9yd2fWMoCvWX8RalL8SqjWDVBg+Kj+sI9x+fVPuaOgIBnQxxHBOO+0Kdj0mp+nEGgad/9zhnLbisSbbu44V7eeU2SCVFqUEPCc/1Gt0x4l5a22lpCbJGbiTEfVt6YvWuCHD14zptIHdvuONY0oDRuevrzzZHPwoo5HAA4UMZnd1u1sbCP9jZsydqwoFH1ozNiOzme8ypR2/Wd/JllyU3kp821vPq9RsY7NIQHUSQz3po8jAr+MuJt32VGr1r2gybTLFZR0t3utj9R3YSqPtiq9ldM49dVMsIrSn/ekOmFCjgVwLO5wW1bjvtawzFtxZ0ckbP980L3jHXrIfBsW/v341BPe40pMLQ517jEssUf0Nx9Kdqto761ADMbeKjKIUmS+m1bWizF86Y2d0tvU98zfiWsIC9zbSaa2BGBIA3LL+I02OpBm/M0CD6iz1cN9MSJoSURLaJ3MiU5WQ0H67LCEqMfmuLkn+EymKHmjyCfW7bm/4frm1zVf3jg9ts3Yq5FTpsEuq26RG+5MUcKTY3W3xMmmronZrM7wkIg9NB3e4pCU6GGh2MrhwyjCMWV7+2T0bDogcrch+XX9xsPz1tFn5QShuXfxUjUas3omqHsvBmazCKJ+fHHY89Rbavv884axZ0//WepsEG99eYAh6ImQPzZ+xcQDGde44gfVQCpFcb1D8lepsS4RRK12jW51bh864qi9SmhEueWor3ESYWwP8tgxVvJkOMGlJFzTjFSKUtLN6VdbSsXoDhtjpdDzdgovS7mpzk1bhKtTmeHPyzyZADveuZ2yYTadYOfn3Ky1It8w3e/wq9o58KImxqEgWNXVGbDoRPL0iE9ILPXTR2xLM+fhPAUFHpAFD5adP2RHI4CZbIRUva72k8wJ0vBsaznueLHXoHr+dmEz4pkUa6IQZIPuYPulW8z6C4+lz4CBAs+FZLBnp987tnEY7pQR/Ge8CsmAeRAVsaIZhoEyzhBA56oy62t6oZPOm7OeWnqlvtjInf3eO+6O6gy3WsJxBpL+lMgM5Zc+wJe9l+8/Bn5U5gt7oa1AqocvBm9G0sMp6J0q1/ZXpmD2CuCa8pVPz5nCw0w2tIAeJdGB0AU4yfc2XO7auQ4io0tGqz3bE8krCbaB48ldvzrTiGqBwWIeOCAe2I6ZkV0rsIOiSJVdouGa/DJhICaNwWVCV9tnHNjebf4+qTXUlRXIrqdvfgna5IQ/xDLFxv/lhG5MtKl86uhFeNrwUa3JUXAkmeJM8kctAwUt12hVBfKcff+QJQ57agxrUgEzkb3JpXV2wp4yfe0FvlbFHSJMHX8mHhlKNFPhSnKPBHI4foiWiYDTNVIjZtiijgJ5nTt0WOoaL8gEmGvDrLHT/IOuTD8q4MSDxcj3ZW0Ql0xKL8xuv/GxcWr+kuHX9rxoHneGew371IOc6TE7lYz/6eU5e/8hrSQMSlT/po6WFStsJqF2UuxeLq3n5uw7+TyZiMWV8rvBuRvRPzTgFUX490BZCzn0KhC1q9V3aMuLPh0jBxkEtn6ZjAyWz0fmN5YzyR4dU5FGRtL0zC8KOJQt0UQs/Pl+7a/HgglAQ1fcdr4idSXC9WHF+V3c/XC0+cN8u3lhOfYf7ThiP1zixkZlDpTDFgJ1gfocnYXIY+G8G9MBhEzXwYPWddMORXNzV9HtLklXmku/Q10cNPh+dnvSHmQjDYYkSMoVS2vYEOr3ZtFi2zDXiHogTG98htJ+SoxxHonEpKrH0BDT5EhtRsjubRb+cugXHzaNYRwkrcKZhX2zYCGkQIAT/46kyNnwYB9mOaGFpTh3TmWK10j0yQMSLSOsIEtO2QFnckwJ/sV0ENf7q/yeuodvAr7pGR0O8Q8BK5RpizSRl68sqGbb9IqJScvq+XQRB5Zsw//tJ+pv6+qgsQnT+nJuJQWi/p2irCoxTA/fUScgPs1t8KLqMPwCTNG2BMT6wQOl+EYMokaOImUzWWv2qTTv19VzgLbAnQ+LpQzAenAGxvWOsBFEw5m9ojNr3cXcw7JsUUJtqVaO4asucSNifquHDkjo2tYO0fXMR7BLRqu0vFdtkaXyc5MoErJCsoFqtLeOPozSE00ENYpQmOKl/eiB5uzPA7VHz8lW8rauYFAJko11Sg2ME8pHJihVOZljgIyZghNiPMn72xoUJ0zy1xNT2q6shjfI9e1P7FDf6KXSJBMpBgqUqavqFv2W/K+mk8EkG8GxypNSbUu3/pYDBXl2jX+Q4OK+3a1m5dX08DejGPjB+zYYe/N2fDkbiOp+aVGPVYrbN6ugbZ8kwEkTZ8Qq9A1Nc0X2V+f6iCgq5h0W+XvJsV20KhOV+9hClJ5TcjRBDFa3FP1E2DFMcAszvFkHuztzOfc3pjHESEzQvOW4UecIfJT9cKe/IOpYrfmuMMJmoYt5Rz4dhCVuIrdQtGMx3d/4QDKbJdknAOpUlr/TIEfCd9bI6qdANmLKHbI1VzOOAUtlp3PxzIQVenidjO22voExkUGIGJ0cQuI0LyK3jowgwbt6YGM87h/WxEKnF95fmqXqLtoPLDhEIfdUd4o/3/3TEgvDkf+jg2h7VoSyyDYDx/zBXeGus619bNDlMDjwz06fjzQ+njhJc0yEOAe77HtLrsJfOMqpvh1GzA6yqZCZrVtlHOnAu/mt/rzHuERdTp0zVCF/bZFl3LFsKEosnYaQrFivwRiMrHrxkfUKazPKbTJcPtIVeBlHpyhX5ducVW9yFJnFlh3uqYwIThOPLK2wxLd3vy9KmyNJo1p7mNf1vFMRabbFKvvbayra1lWqWJcUalmby3xbWFAWiW1X46FlzP3bfmbO6FhpGnJd8RWqvvv2hJwtvD61opTBVS6qtMZWKGO4iN+rOe0zKDnx4TGyp9NvB1ylvKysvkEH7pVmay08Dfb35KXUW/tiBxNSXQQj1LUniv+Uf90JU8qE7TgOOHRrCmnbvLwJawtUGT9VXY349C70wYMNg8Y74K2GocSMqrRSS0hfvIKcmaggoymLUlcgP/kn+FVjBLrF+5/9WJA6ZVb669rDES8a6nm0CCyG66WDiYy3Yn2n6FPWaOkZQSJG35doREv4PfS2G1LeBLGvyD8oFnxBJavQuvFlLi4zWfokytpq40gVuLqWD/dxmhf6MdJVj8tlMKI+E6Mt/xf1k9G0OAbXmBzZFCYOzO84ha2S4XABKNYcW9zoA++dtFgNjDDPgCIsmQo60Z7nGTz+pxbOCQzkCg1N708MtUwZXtdYwph8sNN4gYLJ5BvTZqs9P9c6XraXYdCyQcG/61Oz20fxe6+xYsXMZuHowS2H2aPH656+lRFnGZe3U95ODXnTE8NZN9ElSI3jqov9lB4sUS26m+Y/2vH7phR1Uq9P6ISqxX65tO8ql6tI/wS+cQ4eLsznVX7Bluyc2oemZPP8RI7pLg8u3v1zXamdMnVMrtGPixZtL/uDwT/BqEpfBLwgWenmME66VewsggnhcgVEHWxShG2KjrlFcpjYz2w7IgpaHYh1F2Bzyups38e+uNrE+88VQ9OeJ03g4A8iONCtKNpM/cUKksFofolmwv5Zmxbtn1gTy4fLeAO8UUPR6Mx+7i0nvpF1ob1J+j7DMIJUhJu0g5lgfvibOPDd0zea4xUeshvqz56bNHWfoQEYCYcepBbrD9uhA6tMtJmP+diYNC1WyUsf+YTD+nMuauON7Z540LVqdLMkV/xGthcNbtMyxkJbORu+6w8J89c9/wbGLCKghru1RIHaBDuUd4ycV+yxFp86HLLpI/NIZD6fol2Gf4Jraz/HcqP3bZ9BtNRzznZ1EkpSszW8bOpAXzFA/8PO703yo/IqGukeZp2fVIhbBjfynS/r57chIWheeSoajAdYtegM6aRtYFyn+3ftQs4nPQzDJOAwFKoP+IjUutEHKo7FvRyCaBlv1Q+7PwJgxqrze6/HrqPrQN9FOKOHUV17mDKM96RkOEwpDEhd0MxPHXACuHuADJLc1Lgwb1Gvhxfo3yCin6QB9juWZRxIiM4qIq+Fi+x/HVtXMrwwIpzB1VPEI3CL6gknY7HSP3qfyN3PBHyrSW60tJ4lMhJxTFxkxoiazd+eEJL6mmT3MY192HSo8US1mYAbrchYxvV+fA80YCPSVPvTnZmYflvw28BJ8dmApTv/rfsnAqMcfH0Mj1JeqI7iDL0Eray86rHmEAFBcTRGm0+TusCuLvpNAtirQAwcpvvzGeVXaTPCbrUlZ5mnlhzf96GHgu6VJ6LUpjP+HJZDNZP5X++Sgj4X9pWZnR2Tqn90n/h0cZe/9f5wciOv5pwRBjPkJQRXRK+/L/ORA17nqpWuFX21LJO5w5+Yqrr6k3t+1vSeFnEUJTf3m4WroaANUibFpdLqpcIIWzfShpHKhf0y2H4GzJ2CwK2NqMLzccFOiTHLop/+Mv6y5BwmQPYBVkmVYgOq3XuilzQONJlb87bjJxuljI2X6PVQ+6pC6XSFgz1XGKWCcWJWEep1okgEFHDoKc+KHQTNUixxro0sG4vWCXRjFPGJj0//q/CbPIzqL/iiYofCttHYsIl7BwBV8ubmOvK46Y6MOJRfVtrx4jaLsOdPLW/QFzVuuMUtgl660RQ7EIs3+ZIyzA+l33k1w8vote3uJc9BkbvT24VXlpxEC/ScasgYGWEOqMgxESrpQ3ki3nyFO3uQW+jrFOJJ73Bfvn3ns/LhxKnzPMzn5UGnT+NJ2Da3mkrmyPpKAdskJBcb81likUSPOqSkRk2JuAlZu+rFVpOrC/3kIOIrulAEjxmQIY1rV4517m5bMq1aY0XaKr0vYKt79j4t+126gf1HfbodRmYFEAQTOPQGf/2bKDKXBwYlFg6BB/2bOC2ZDxQSuiLxbBcmRTxwRFDQG/il8EakVRL5hFprtjG63QHe+OhjYQ9DD72CkAOz9JQHZp9MMhEFUR7Pk08UYVLmJyV1SCMyxd/NbywXMFLrRpJr8fxNRtb/IBKeoU2Mcu36Sf1JqvWVY85cJc/bPJYnbWMhPoT5UxvqqkONtzQTPHu0Srl9OM98YshzP4RuLF3C12o11mJ8a5DMw71GGxAQjCZbjPndRTRaBEhKK4DMvGiNuOQcyqtQtO+v8+3wx8tDG/bMB9XKYesfwcJPgA7+t+DOqqTB6u3VY2cWb5u+nwXi6AS0aqXMSpLXHRuirAbRSLmeup576PFtkD+uMWKPK3Gydx3Gj50sIDm5a833I41sknWBxAPfCKQgnHIH8e5VgonTZPEoKFNWtgKuycIXrDBHF7GUsV+VtRIycdecPUzLn/sVJOd+B0co5qFYza74n99raElNiVjGQmk57xExG6Jy7ccjbmMzYU6b2fhx1zcbyr+kON3VNKYypDz1xykx3JJYfL4XwDB4kZXWbRaNRDicq9PEcseGuyCFjOm5O/86hPtam6stbogrRjWSjS3CLrnoZsDqiEJVpD5GQ39yPLfUsinzCy3yAiunkNnwTVHaOuHN7xUUNTu9ewBVzvPBOh456YZyCN9XI10hiSGIQt4VNDd5kxCcMTn9jL/LbHTNvPulPgZHoy8KPdd6ZYq15mLgaMKrfJPf1tYpwI7nwQF3al6n763sG7/pSVFC9RzljxjfJJVmeVzITOss9C1snqKPkm1zzV3U7N0tFbMLGjcWSh3rwgeZT2+xoiFT9hGKi6wOpKLXbdvGNfwUGnynawUu0eV0JyftjZuw+hjyXcpiNjZMoi870lz7B2LZqUiqOOxukxqU6VrDcJxUMPrY8/I2V3hnpSqr8FU7fjtFPUcEAy94ajfVw+KEzujp2I7lKRRFZPZYnCTOL7K65ywrdc1NTxvCuaY3X0rcbuxy2bX2KHszgkXXWBusc9JYHInvsuYRYDsZtNE+WJ3GSwBwwA250KPcBQTZkM6ZKWtbzyd+9KLlpu9EVutA8kxyha9NqDVWWqzrBfKp8OIhqsSValgR4W5ohgRo2YUcDE1XbT0E7zj9xOquQ/IGggxsVcjSFYvIax0oGWMlYrxrK7w+ZaZoCLI4ytVXFAB+foAROxgAu/gRJOHhen9XIZ+eboXcB+pqvrgnZaJ/W+0rxRvsqxXGjUFMNtH5uo2qY03F4ZcIDtRqrxHQhre72NuUL2zNJuF8IMs6rZ03YCPYONDD51XcfMY0w2CJ5FddWobo7pttqTA0k/3xvmsJa+HYCspiTxWGB3m+W5FmkkYo/2yhcmyN9JAzIIOUHxzD2Pmyj34TEHyd97yBdNxVsbkg5LMWGOd7GKrb/022AFVUiPj6Q7bw9MLmkvdRqiRd9WIoqnhvcTg4LGDRQIbkKq31UK4DuA31/2FzAcXbUY0r1w0qvaHFTw0qYiaXG2mDxWwxK0fDjirm2tJnNbd+S90FZk2DuQYR3K3OMbU81muc0ZoFxUlZf1JkK5jRX6OyzWLj7/NUPbOA4dndvUt8QOL4nqgoUCWjHz9fiwZfYtns/WIYPBp+IJDWu4WmlbnAnSSa5nQGamlclS1arKT5Xk9rJGV8q8vaSTXikyiBz3O6fzpf8e7meGa09XpRvetN1XL2w/bxQLmwVJFoWgyRrfJIqlagdcpRfELAQst1iEtIL9rupGNuuTYTa/HTs3thPV4UH8msynS26tM1l7vUUrFRFpLSoG14P5uPTU0m0Yp6a708Zga7BrkO6oi31A2MJVKCSqRo181ZKIFvuwgYblQkWrsYdgYPV3/owQkR3VeSfJsIboK4+BKbdO0Oc1ZYnDna2Lw3peFliMfJyfpeTaT3hl+h7RSDE3bGdT1mrp6jdF5TPno9AmXxnuWYrZPMptl7MjJdcuCpV4hWFQmPfeNmDfV5GY4WxbAl6nIRr45FzA+JUE+Kj5YCsqdQAM471ag5op7QwHEY8tTQi4+pU0OY1BfyI24TSf4ofwk5bcl178pqDE3DPg9J5p2QXRYBZBKB61Y5l2sZf9be/uzeP3U0ZGcWdYFr+I2m6ba75ZDazwr078d2DBP1kt3X33Qx0B8jXjPNiel1bIaxJNAMQnAoKrW+jNBNWePv+1bDZ6Ah3l/p0U4DCZInYzSmmcwq+g7OXHJG3b7NpPdwOB86QrHamNVaM+uAD9ZvXY3LXTJBZP1pqIGChKNvwGT1wOiRHlTCqJtAo8drufL7sekSQ6CvWcqbrh6Pn+HNi0T4etdZAo/z5KkHzrWDbzSBqiLCB4utxlIOlJkpCvBpOrOsgbYCZnmMg294JWpNGxu7e6w6H0XBzoTRIv0PL600gDfPxvgSKm1E4HFeFNq0XUbZVjSxGU9ffFTZjRm9FQpP4h+V1D6N99q3Hd2opkWotFl3F9eWhmaOBU++8L8WPgS9Ez9gjEQC5TKnMwLixNITDfbtcutFUlyRRzdsriWr8ZNv7ZBbF8v8crEu+3TtlWGFAmBZaX7m9S1bBJv4yBPMzxL66m8MSnWvxXh49ayhCt257Sn94az5hod5lOrN91F7haNomn/l/aCiFRlPD7FgjgXAP8GqxP0FJ/ryzN4JCdJ89l5smzIBnrPCKUMG2/tYmBUnHL7CjCKu2eQDENQa+HFexB41wPuianma7wLcWkhgdNe/j495eowqnzLeYBR5oHeMN3AeWuIlfinVjy9MiWmmFJBxBdO5gjYuk242kUOo1W5r2T6S8jD7iXLphF1uFvH7Z81GoptZFeTBZ5Iv7JqogYQCjvc0ZuW9P+PMV0ToIQaNH2T5eH+CaAQflblgBcQjQ5adl2yiwga4DtAG8t6Y7i+s5m6xKEgr1B/9TPCBb/9+NBkvarUALiByaLRaVY9XIvYrlCwb/2AR53o7JinYB9v4gPzkqUMyKwBCHDThN+DZOzfYp7JmWRUK68Uv6T/G7TfCgk5jswyimDeUlpAijTnHQIJ9Eg6Ot435nBidWU7i+6CZ9dtUHnGJirrurWy4pSCXk8mvscz8KFf5HLk9bSKkeUm6XJMxF/1Ryc2eNcLeyRU/uLMx88lufZB4p8yJ419WdQmbIXU37s0wlFS3HP8vf5j//wL/n1jAyhFo4eIGBVu4OGD+L/DHPZgNCmVuZHN0cmVhbQplbmRvYmoKMTc4IDAgb2JqCjw8Ci9MZW5ndGggMTExNTMKL0ZpbHRlciAvRmxhdGVEZWNvZGUKL0xlbmd0aDEgMTA0NQovTGVuZ3RoMiAxMDQyNwovTGVuZ3RoMyA1MzIKPj4Kc3RyZWFtDQp42u2XVVRc29agcSe4W+EQoHB3d3d3DVqFWwiuwS1ocAvu7u6uwZ0Eh+DNPff+54xxe/RTv/XoXS/7m3Ottb+55l41qqjJpZwcXTW8nC1ZmViBLHwAGUVpPXEJBnFFMR0NWVYWwHsQlZpaHGRp6mrr5Chh6mrJB+Bh5mFm4UKlBog7OXuBbK1tXAGlbCws7ABRZ2d7y/eog7ObqyWIESDraA4EmDpaAGxdwQB7W3NLR7ATCMwIMLW3B/w1DwwAWYItQe6WFkBUVlaAha25K8DM0trWEZX5X16yjlZOAN5/hy3cnP8n5W4JAr/LAOje5ejfVzC1cHK09wJYWFq9T3Ozt1cydbAE0P1PCf/bCFMHW3uv/4z5jypA0cnCEuT430O1Lf8qjk7d0dRZ3cbJ9b/zsq6m71WJOlq/V83EygFk4fh33BYsZetpaaFi62puA7AytQdb/juu6fj+FHtbR0sVJ7Dtv/YTwPJfCQ0bW/NPjpZg8H8ylu+b91/67/vylzzzf7fqr7SKqe2/+/k/S/9PfwGs/7CiqSvI1hOgzwJkYXmf+Nfn71vD/3qgpKO5k4WtozWAjZMLYAoCmXq9j2J9J06ADyvA9t3cE2Dp+V4oM9DRyfV9CuB9S/0AVk4g1H/1jBXAbOPlbGPp+K/wXxE2ALPk38AOYJb6GzgAzKZ/AyeA2exv4AIwm/8N3ABmi7+BB8Bs+TfwApit/ob3cpht/6F3kU//0LuE/T/0buHwD71r/GPL+u7h9A+9izj/Q+8moH/oXQX8D727uP5T87uL2z/07uL+D727ePxD7y5ef9H/3ncxMSdPgA8TGy+AiY3zvQls3BwAbk4Ov/9Tx9Rd3w+fKcji78B7GsncDQSydHT961C9v16o/2Er2/eX2NLS09IcdWXRyZw/2C4tI921Gi9ncFxCp02hJZsLwZnRM5DSuuxPnG5orPkDG7wF0qeFVXLpCKxMWVKofJ/rUCd6i6PFuPmYHHs5o15KzT+YnOAvVEFbn1Iij+SNAaWBuQfaFm6cuKnl0Y65IpwGmmJXqUv5VXTliSfwLlsLDl0Q96OZx085vVtn1agwC7fXV/JpPhoOZq6phNJ+vzH7pSh7AtrX8jBAZu7o/WArtpkCWyEvl0z+fsFbdvi4QqYJhRvNil6su5r+Vqp4rzUuKGqtL6aaH3FtgHxcMF19WdpEZLH43PpnNyKhmzY3v2nKEKFx+1YssUmUvd0JJw3eOKi5NRsCP20HaOeNX2CeE+LQE3f0kWIVPXbcjjwCaUG3tXuShuhV3/m0nEd5LHYL85P1EStSuRAmIO2M+AROlxe+xC3pfdcqVDFWZi8saqaSH4RYxzo1evmpLdFONuWujpfYg5oJioZlLCpyKBCxlZrfyJOdukengX9BCm+jWHk7HCdG/filIc0/NVsEGxXXcNzOslaDLEQv2TQjf+pCnaMinFJYU7rGtzpTHwj/OQZAxaJHaNPujxPe6Mdp1YjTGjTPt648sP3yebhUfcgqL8ubezmR0Pmhi5v4Th3bF6sUmixm+gVnHMVUTJdS1Ty7LY3RvAiRaYyRqmPDoQ9ZqpDuzJWRa5SmQ82q4JAi35C393YLUw2Bth+DWZLG2tc3JVZdJOf05HKBCJmJda5yxG1W2IgUG6O2YrQDNkPWrruHuLfiSzVdk32GO/8z7Q8H0De0N4mGLrBD829RBpwBQivqA005PVNVlLivynRE+4kvCbeRejl3mQUFMcpKekzzYs4l5TewdUaLmFgXSgjzT0GfHk/8D3jiPvoJBLboC+vtipwRWcS05TR6Le7p8cGm9lvX5V7/KW6DJu8Bb2kNrVt9WsN0dmWhEa+Yvb8dLsyi1p1//PRmJB7fmSyx1hICy8s5xcC8MVBWe3yu+kCAlbPOIkPBRMg2wIwSMloUYMCkP5LIksSTzzPQDJ2J/OGG3LGgCa544K1dp7XhBhO6Q2GGfU9zeUrjp6s8mDdyuUOvM7xsqndaA7wfZOSM1vyjav4qcr16ofr3MM96eV9vi1rluVTh2dgEy2RIngK9bhWxiC42QTCV/MG2zHaBcpBQtXkGEIgfyZyIouGawnvcT3olisasTJ/1DCHZXhjVCHXLOkH+4wO04RMcvdMdgHv+yQw9lhVeFAOM7ZqKk6bxXblA1UYz0HzEfgmFCyGiBbSGzvuF3Mh/e8dw5xv8Agx9WgSMlNI1iYrHwpqOlNtbXsFnXelUPKCutTQF/jyBu60k4W4ABgEiSxBLL2nhsv3mOmz/ZCoH5Fzc42oSlwmL9uWqmVLxwOpWvB6jGWUkvwsE0aNusPWB4UqFWn4tapFv5ERTyYGf99Jeg6mYFJMgDHjrs0ueoChlHhpLJdg32YKkZcWc+Yl7gXqpbPVW5dvP0yTEImJvnf6kDn1D5fWcEoTDAuJIz+3Eos0RSZiSpVew2/Rg8Wdmbo4if0iDImMae+xTkyWvG7RmNdqnKUxH8j5ItZalPohfIyURPnSHuxKlwQcxdsaTDi3ZVgaugQtvC4OKkxfnOhKe9Ycow4ie4ntnXdeVjUDJ/gUb9XBXT+M2vu2ulQ3Npe4vo5i8lccQlzdTJQXWvQvrN99WJ4cefOdBAZ8GjlyCJskoxAqGiEcjhYmkB3vxi7ahxKv2htGcP0ritc+4ioyc+aWPItferZD0y2HEObGBIAATBk3hND/bpzDYUTbc9+5n8pgWC7OzL33mRdcgtS60BqhPo7ZnS1jmtPnTu8Yv04bcROgoy7xF3Kjp8F+8lX+PV/Oo1nTPKUzbG8oQ0EDv0efgcC4ryySzHOvNbnhRDhE1odVNfLl0Jpbyc6WO/ZjQRh+uumb2/UreK43ZY3xXs8ybKg/ntxHrSlISopIF1D4DUl0tn0I6E7pZ8T2B7aUNMY5aAQxAX4dNfHMDZbvOFh89rrcuHyXveWvnGmYJuoOwlsQwes4PWN72VCmHwuoBLU8H7xOSAFjWlHvRTiEKEJTAckJ9LcSv9BerOppIDj6ph/Oasd2PoOzqCqePdE3+efcrCb/jAxszYlfRQf6ufWqE6zV/cKfeWRqEV8a08fARIvY+wpMy/rPgidhWMX0zKe511zMaLubGkly/+hp5TcXu/EI+DozS142P1CfnoAEgK0s+YQXHtu6fnHirckIdYEVaeF9OfYj6a2hBTBeObTePR+Yaucdq4u5dsAj5hRzhyp+8r617Av7fnEhIVDOgIvGHCm8vkdP3KS7fzPjSIPiMzjJGTuGdkb6OFYieVgT2EpKw+3lj7iKKhGnZUVCTc/HWm3stpS3WTaT0Yqpr2X14K2KtSH2M9hwh95IEEjlNDEmti4ctILidwSJD7lorSV6vf9wBc9Ovj/Mo/JRNjeNa6ZcWkACHo6DMUsvlC+A2VBjSskkpcK5t8rXk86tRbhOs2FwHDzqm+9n+roTMBcVgs6brI2WdcKwAee1LLhZbZuwUE4yNLYgSw/BAL18en3LxufIGfoQM5x1tHKN2wDq2AybUc4MPGc7g0MQ0O+0abAjBx10viWq90RKq22hytP5m+WbGCQPqWfQC46aPvevzZ7HjEhcLu/SkmFVZLsXNPg88ihIdSFJ4jo5Ui1usdGV9Blkvdmh7zTSqD/RbWpAfDQHPfX/GJsIhiW3nqhYDST5ua3ja9WH7s3hGUPDkEjnvrII7h3OqMpLOiHdjbDrRuJ+9pB9tz4qHKCQkZraleas+gUoZEkjqhbb0dviAUd/wLdh9wxleNZZ3dKBGOzL1GuNBb8+dcCm9ReStTjL2RTMM+dTHQiRuHJvDVRIbv08QqHQ256iAhxFvTbl4V6olAi3LG5tIWpcUEw8r3bLCICqy6Jd1q7Ft5d20sLiM2GPae8gPUI5LmbF83BMf/degk2xlEyUOyBBfcKEr4QgCw2kK8Z56yWUzl+fZ8cc5yHtKBUtJJL6NTnydRUMWQvrkyk/qpWZCZvEZ5Qu/xCXX847umZuA2X4q5GklFkIY4C3SdfhKyf3sJtY2uhToTbHipvOLUYYLWsfHWMwfZJO+XV+TTfL7rFgsBL9kXcV8HQaDRrw80gFpkTsJ+YJkB0bkJ1KjTAicflMAlnRQb53UsC77wiLHAA3Wl/pd/+l1iU6GukiLcomu5ixNnbFVFUfm0EeDXcl+l72fFYTQPbcSbeiwVZoQfSg15Ldx1BvzPvjE52npaZM/Pani4FmBnjHPGy9LSaEVafEhbw7e5JophTJegvJBgmPBN5z8Tsd9b1Op1kGo9mCs1cffF5BacTAn/XiRkZCzR5A5OzTWESd2ApFihXjd2JLDAE4ekizGoKOnmb1TsMWOrHSlf5pDtKI00/PRwk6a1Fac9ddrRkqSJTZC/CIIjhyJhHxg/SdHrrU4CcVIos/7D7cebnVTJoeZGpkjhiGLF7olBAk2HNo/spOsOlSsS8gSHmiUN79Yvbpt5d+I7om6y+LYFaKIE6UDsCOWhGW8BTsEvkL7tjSZrKZZGjalNWUQvK3efuPoLQPwzNiloBSnl2WPRpTyJV1+1AX5c3/66dvsdJoL0sHSKdSNAuuhbcpHOBPOLvqZNs25uEGhvB+udj108/b2ioY9PCyV0j0efFmbpJZ7jouDP40YGm3OZvaKV4WTYaQJLeRJ5COm4js5uvZZhMetlKGWBlNm+4q/ikhk6HkvuaR/rAyFHdz7K2R06MajGEVnu/wgqat5jDxEYoTzaHGLX4HxMI6z5iwAa1vkkSAvDyq/FiH8/rRl6/G98aw++/1ru+WI7pcZVHTJCAaqeMxlo334SaqjjUn+8O4uQeYQhGlJipzeBcczKVBXdMz6rrN3FY22h/IhMm+vBh2tVfSJlj9G509i3g++Gs3c8XLGRm0rxSEj5KtDs0A9jGwK4iLpjRB+XsRVFpQMtCrG6gSdeotCDYFf55I/6fGZM4roOnA9I+I5FpDbt9HR3my+ou7KhGhsQ2eqCAN1FpNva5r0E2s5JXMMPpap+8APkUW8PXswSI6gRtHGaIa37JVZeHJIAlxJ9QedZsRrUyiShLVjwCSO0u3bgkF231PWki8RpioN2dUZflGGGJd8kJXXFyzOK6NDZiAezD9c+oQsGnzH2zoXGs1RhuPHT4bkTnLW2lv9QDFxJuZ/uUX6Ul9vihEIMZKdW9M/5v8dVXthdOtttYqREqVLaV8hVkQGxlumFsv+sUfajwr3sZl0ou/wxYT59fpru58gC3ZE6CW5VksqnNZj1qJAtRTyALKWmo6KVQejjAgjzCI1KkaMAQF5sLmvI2cq28xSHlN7wuInWEMt6GFKYbgA4XmMbRByByDGtaBerRc/03SOknZg6uNvjHZt7JNGm1wGsWJiRVuhetZGbOWpXS/6pxsT9j8l3trCgtxU+Wnx9VLLDcRiz7fBS5n+vNK7imkJNlyre7ydjrKNTwHjW3UTwPPKeJ3KMd3W1cFjJ4YzW7hkwqdX9OGAm3jXQ+MaO+0BbSYpJJSnHEPWGeOg5/F6NV6O1Xlf5aMYI3SqEw2NtnsMitKp/anwnjNSnPhpKkPD4l7d267f/QLq1NkXGonN2T08tyk26buFcpLmW2gVOsWQDpcSqKYUq1kiYblbRuwEKU8nhJFS07QKP2Rj3Jpjedxw2z/w0lgQUEWCWWIj2rwB7OVZgkIi2onl6s0oUw3Qp71i2kcoRdikrYIT6anrDxw/tvjcCYZ2zTfxGlHQYH9/y8ZkGwUUIxISz6ESJ5TS+MYRevHwuFMRhxtzcDXzAQdeA9A7bAubHo6uuSbVb6AHuWcLInOXsS2RNuQhbwcVNbIAxH0W3UGE537o7apLuskzoapf6G9SYl2hBmyY9N1e4kJCdVCHA+5/yCOxC8tXqXURf7RhpXSaycD+ulGbhiJNXi43BWU68pzGUnFRtXyKqgV/b5akolUVwpsVctGXwVgu38craTxpr5UMSeeFHxjoPDcoVsMFd7ppqgzV9BhHKH5n7LKqXdU6imyeHSY49Vq6Y1vHdgYvWbyxelA686E/HRJ6UT5Wz6d73T/tZ6mNlaSbk1LRRfFOJsIiEfpR1JeWnUHfn/iMOMRUZwRA0SDwtzc7liSX6sImM4py9Tnrdtt5WqdvYsCK06SLkJi6b6E0V/iGYKKOdQRObo28fQKR761bXlyzMclMTmOZHxmCoCJluTw/fjYq6UaGPd8PzDUMgc8e/KWfU8RS3hfXmq7mlSNdGLYt9iuaw4Z2T1jdBYIUBps4C+jrOLRng9iGE0h4mUQUAGaboA5uPj84lbmU5Zzs+K6PN4F0rTXZr3k24VNGMTKTBalbQR2WVMMSdqT+lCkh1BNZStgh6vOgJB4oB+eqH2hoFb16Za4JNjhYeNWCsdCSRk6R3ew/Aezt6TP4zbQ9Y3JGf+fLbT9PZ6NCjS6VbzMHMc4/WVg+/fasgFm+wR3dDK7Pgv0c+kO1PJX9WXgGL6oRAZSjDcVsJDsKtRtKCoqeLQyq1OshN/KuXtOxOVdEny+7Xy7fpbLaiYyapJtdAvXquLCZadvur5EuJvR4HYa9LBXKPEJlquD4CkIjIUmw7TUnzzjx0RnVHhjtLkE1vmFHszmM3Bu+vh0Qemdiqs/CZuLSSD7FiEiTgw3tBoHIJ3RgGDca7EXzmeNio8K75CC0NtkWpaaJQl1Agcr304mgjfaxk0LrRRbxVjcEKA9/P63T5SeEX4iXTYF/OJFqXGb1wTj5qjjPvS5FDP4CtE2+f/Ygi2ztMn+xbxesknXMeY9kp2WiZp8LsrKGZK8+h8iy9BPIAenRcwN+RQaoIX6I9U0Df0/+FVyNEASWFVl8hlrTzMuu1axOvNkQ/sx62l5Ov2BQF3ZHG2VPOKywKzrERTsyYrSeQDWYcOM1j2MR9PXTFY31ZHlqHYcy5Lq6rbxgmE31eMDFCp2IZuj5TrAlwbmRGENGOdI6g1mb/bJLKWY0yEBB4aSkF2T7BUuH2XFEYYsu6ztZNp3AQsU+vpmGdSLi18V6wb55ZddJ1UWTnBrFmLvi/RfCPx9hRK03DewcovxLGeW8qWWxQk5p4xYNxwyGBQm+2WVYfrGfcyipP/LSqDCgvUDoK7Jj790ihhtr+V6f2BYlk9Kk0E5c5NMJHzoMteG1zVM2SQzcHnD9RGdpogDWiWWS5wMXk8mfZPfQMD/jOyq4gAmCO3CPT1/HJypBXPvftmP+PJ1lsORYmsR/lGHC9J/SonQ1uGV3jhyslcB9SnvaTQLFUS2t6TIy87uPz8GaG006Vom2XLhQsjT43LhaFX6mQOqRYPYHoxpeaBIkNT5MkmlcP55VwsJ+YGSdtsAWwvaLI6GSpJveNDN90XGJ8IrvL0hUO66IjIJvklD7TE4wr9tGu2kCJoNWn0DEa8hfb+3qqdw9/YGHuTNmD/+aWHLrJmol9UWfLx6dNadIW8XtJe1kJ9Ye9fjT/uPkRcBgCnrb1nRnVZ69yl7AIzfN2Bc+obHvrtqnYjx1IKzF5sgT6eOsJcFv81wZYl/3rE/CgdMUcaa7WMZ1cMe4aB2i9G61dGX1dqNr42PG6pRwlMkUxBOxJkoUH1dlMyvjVZF1nKvwkLErW3CpfNKJkyDzkQBSOEf3c/K4bKzsBMOh8R169uMB6g1X5NYxDnwOk6JYcSi6RLdcGK55clnH8BNy9quclIEKTO49duKa5bAHlaTfiKKGnH9x8klCO50tZMtFDRRQCpxS6g3s109zAEv9Z3g8+NWsk35O5pM0heE41jWVyL9M/kmrzJV5Y0q/bIbiqZd9y7aBShc08B7MEQsS0USuUP1TRhoYhJS8jdwXlHyFdChoPZJ+CLpOdoYKdzblRnNjQhWg3zfb8wM2kFzBKotH3HBS67Sl7EpFeVvWU+quMPRQ50K+IgVSzUSi8qwRT4UD3BFm4WShQhpF6FsHttZ3xbGxxQyxRFj7S8+j4gigmC0kU2t5OKv5uFTwIadXe+vPhQx1wgtO0n4zIbpm3VxMBtr6dzTBp3se3jzceziWsnBRh7JcaJ67X0VB5NSuDRKHzpZHyi1OHMThkWzInDrNNtI7nxVyTftBK4RZ1I+mLFYYPlrd0QDZzI+utODRFxBsmdAE+p78BIxxFf1UM7TL6iADRjzHZ23Rp30PJZHsb5xnbaLK1U7PGlaaGgKUEOR1v5WztV3SwFA+2gLF9OlhovizjPNE7GBqb2UNtLUiZ6iq1eN2LfXc6aLHxM0caWwGBCvgBRwqXpdatlHxq9xHT2ZL5BuAY99ofL4lrqveCcKm+pP4SBaeyX890kE+2XLknZAuX5iW1/UTLqju0naZHkxQ1Dtc9/Q1/QYgKYCXlOguFeupOfkKXqcnhiryIKkqhGbhWehYgkEu9rYiKOhKaT1cco7CCtNVBj+vtkHwpJDJgCz2nyyQt66iv9uZ4RPVxc7QToXtcrghnMEpZsguBGBloELymw/nRgG9YK9+KFcw5uIRZXq7N278UugIv9kp1izcSt9DxNM3sxvk3h0YP+5UY05owJspDj3xIPk2M6V+ICOrW0ahAlWKZgWZDwqE+o06n+67dy+p4G7YQF7EoKgaxoPSEHufz2kuTRdy4nP7G/6Lqpz017VqJNgUAVXl2ZtA735F5rNz7P5D2HtN8fasSzTtqApjdNSl4tbmbxOjItJ26BII739jOur3ZtP2EZ+S9b9FKzvdFhZT5J3tpVMuILh8JJkR5c1pfF0sDzeyj5bDQHpii4J9aGsmrTdJIF+7QNc9GVP5bo8qw0v3NjbKFeEhsmfrGDeAWfzLoi42MuHa7+LhSFq2+MjJXxEGuR6alZpkvyV18mH1RG19WCvMy33/iulYDt5qsyfzke3KmaGXQKzj4uCy2gh4YioN1Pt2Q+kcvkdTH4E9JJsYPOzZxUvhz8w1xHPCvAJtIqanbf5yVfoowY3OKJJqjHL7CiFzlw4SGW8S/XV4SgejMmmPyN/W7Vt0SkjN708DUT6ML9HljZ9cpPyRNGMR0fIst/bPkxCHiLadca3reZ+Iy+0t71tDgp7Dj0qiroCzxPvnVzHNxIzRjUxHlA4v28mGNw9DgXvJ7ZlSedjAjC4prPmPnqxIno2AD6X2Nvt8AXrMYftQEMQt63OH2+tSuP0vqtWz501GCk1wlwdvxWHj8/L8FHcfgMnN3Cj03ivuwc4JV0QrtacF+fn3t4Ku9SyQSCCJiFaiNanL+gxnmVTtnk3SHMGs2yRBsbsnz5LCYq2xCBBdaIzePU9EYSIKV6FUX5B9I4e7utVrxNIHlNhnENXseLW+leyjUqjhbhq/4KvSaB+CuKF8anL1eW6WFDzJZAZs5M4K9fMbwhqwTOdwJ+ky3byWljB3NGOf2DedW0jUQabLLRn1DmOM1vLzK26ntYGu4eJzoM0wYUEeLTMZq+cF9hjJLWW+LwWkGW3C4U8TMYSmkOHoVxz7zSeaIyr8B1XV2OE+8ZmhWrvaGJRBxhzGKFjtM+lvn2joczO0P9kNuzF1w1WvhoQFKfFwwKEEOPJ9JKdyTqB76hXPWmqih0RxasHj1kJpcCcVIkVT8vS/ubVlc4ZZdNtFDXUpbk14owZhV7Bs6i/GoXB/FwN9lceMw5QnY+hbaRD4jNveb3YhsYrZg+lRZ6AejH34a0COE8Od4gLFffMe7xzyqpCs5rNzbAgE8QE8eeEawwHKLIKoNIwUJgaQt2CGr1eAMqNRmOc5MYS3fjKPv9BYcRIn4UIwhUtqv8ZHv2Dh7A0HhRXuxGi2SbAz2x4ll57/JsqvyxMr0IQbTxHtN0qh3G0FMpB/WM0cIVlvKgKh8ct+0xvevIwaR/urgAeTvoq10h6azxGC6Lmpqsef7qg6bKZGOiOE+HHcnhOJZM0XgofsCM28qJLmJzFZa2knp7IeLxb0yQUToiGyouyYBQJ3+pfTUDFiHVPWZc3f3VLuyrNUD0uA68rvub48hitu/vl0xZQ1UfjEoNYp6RSCm6Col+knj6NyVpSD7eMq9w7875eq632LZeR7N7hdh7G+hn8EVyFyUDIoep2HgHEAYdhO/X0aGclkhvnxsx+P8+yhyIp4152of8LIR2LQZKPgcsgGUWOdFg2/j62vkUpJ8r0lO94fx4HnqGsz/hwDfTlOxgJL0Qi/hjGcQJltrJ0Ykxthx2/e0xqtNABMEd3mRO5GuDGiJ41BDCwym9k9H46ps85kq3plDbFU0oy3hZ14GND/yB55cCw0IdKQTVvARbX4dwNJb1ymPaWigmg8gB25xzUrNcyE0IpkN635/mHsVBmI5u36nIf5eHLZm1wxKDfF5/6TTCkWVhOR/voav4Ia8lvcfPP2ezflGLQEBG/iWq7mvgoK3VmXYnNTQ5fYqefTZqFlFfnKhDqzE5DDt4LyB2gEj+PUl75O+KTFm6WqOxf8XiVg33NMgxxJK9VF20g5MpfDaFBWWbIehnU4YRYhwkFciL8bhSqKE6nB7FZ3q5uTvkaTGzVNvpPGeShbqT0mmHz7IP/Yv6F+cBhX6NjgOzhs9Yd0qWcP1eMLR5e9UCDL1XovDIcjJUkTt+Qqwu1jI+3KZ/LMgKPO2WLxz0m3zuImZieHVhYWqt75/DfSyq3zSaN8fg2ZrFqqb92EBxwZXvrW7cRvU3Er3R6n5aSUB4OBI8vSRIuZTlRgi4LVwUljIvHJK5On6Vdz0Ceu09QVAKN2jr96av86x0S007FfFI6gODBJWbhMVv7cpoC3j4b2uWDVU7sYCz/X6ezEmL65Rhl4UkWdqBek1OUZhUcQAobzo2D4heQIN3MTQEqTEs6vSf776u6bwwdhBwMCriPVUdz5eM0gX8yJeiJNx/4GTDTJkQ0i1MCpJjcf1NXPlR94klAqxN26VK98fi3AVd7NbRMHfI+q2zTZJDlnfTWJkTwncHtE9yw26K15ZqLMIrJnaSiv78qwEQqtXfXM1RRGmiYvFpbliPSFgIhOCD1B9y5Qn72zWpFP8JWRO9WpRlB6MSL9NXFEzHO+6QZ7cf0i4zKyl8KfsCrr2El4tkNWPFTFlPjGk5xb/Qc5vQ3j9dtAE3Mpi2sNB8NFIMQQmzVVVWNwJpjfGEJq5lRwL+UYdpSz7OYbMmbqvv/YqgmjnoKl4DnmE2C7BGWiCSE/MimfLF8pJ6a2yLruPnH+bDMD73NljWWImAa+eBU194xbHZ3XYGOoXniFPJbtl8S8qDN+2bTyQUSBaTX5EPHVy5Bd3IQL64GbRG9i7BINw0J3tqrfNZKc8xF+hRNPvxoejeyP7cRv9HuLP/Tfpugw7dtHHmM2CDcjbAYxBXlefnQ+GgcQ10DrpeOcScV1aqOPh/uqas1SbMjYKltQ/uy+w8j/Ezf9QeQwa65z2izZ5vBa2/GcuYNUtvHFpwh62Z9NtJwIaf+aJ4cagNN5P1vq1UWKgxsMomaMPxgWy8EWBYMciV6ciF+tlQ5C7IiCtGU0PGEHHN1vx7gEPMUjSKvbbP2U3L97VF+Rdxo93Nl/ZiNfoq/lgqyKtuv1yPxRrZH8VbPrkNtsp+Pt66vZuvPlQu9vcch9g1icXP65JrRuNxd9SLEOvGPB7nbUwpBqxAfyS/KFrAKpdAQGeJamq8622GtTkQC7Waukdk+Prd8RlZP7L/qjgJp9nrO+8la1iMIrRGulVE7fvTHQ2pA0x6SX2JfQ0q4r9yTniGB1iIViZEKgOztfLBR8Dnbx/kWQfBfGpEskQjYs/ObqlFFwZOL+0TNK/3dyYI8LObB7pPenaiStk+VEYMiVXta+Upfhd7eYkfS4+6IP41hCuzJ9+prKGv2l7fKUbqF7BJ5ZnOmPMcuAB0TaB8Joh9ey2+iqOsFaW87kY30tWULF8B83R/aAgSmlppyWP5s8DNJejqkFd9mH957cIcKJ6aqWkpIlr3h1JrLXRYZMf+AhwUtVzG+b3/FirFZ8ccen9zDbCHKz3EnyxouL9j8et7d+GrZI/qoz5eSu1vGrR+/RVtW91xzG+JrxRUhWGELPwDXbE0Ry4aY8TsPsFXep9QgMkEgYNL3v1SeWio+Ry28nEO2BO+/1SuNpjBHu3H4ozbxAewhbzeqbg6m/PfDz6Gcj/+k+Pv2zaQ/XaIQyv9Ae8ZqbXQwmG3h+dH3OZDVbbHTXnd5snHpMklOvUpmeEW1onQUk1EDMHmJ3YLXvqlOIMR6ShyiwISJgW0gUM+VuFi+05pDm865/ndYX+Hopx/NVmOUQ2dEjc7eiesUkXkbUWKMzzUypOWsI5Fis8/kLzv3+Cj0y2pSLLXADQiyeH7GPldtc37FjcZOmC6BhHE4m7KOa3b9U0sTD/PMkTT4WjLZcT4mEy1Uj0uUG0zageU8/w2W9ut/4RNDMhUO/RwXB7fRhVTgPC7zULN1t05vXZpP4k9LiKd3BB5fBBs+rvxeZvg+PiGK4WcjAN6qzN3Cd/SeanjM0tXYidBFIDTDIF62guVYduKwg/lAgQWAcR/YgCsU17Mt7QSERrPAR2mVVmXP6mPa4Pf7B45rIixQ6xFDHYS6LGOST8Cz3uh5X0/iIfmz1u37uAbBvfD13iibwFIWqed6h0bVFmES5s8uhuppEmTqer12dPumO3G5hCsQ4+5WEg6YKwwEho4ADX38uONNoZ7aP8ZmbCXOjq8A0TIufgnqiIn0sgiiZngAzjzrmQUSTlPEXvdtCsgDUD9FZG7nPKpM+Qb/ag3yCpvxJEQ1q8ippLEsFGIINNkIGKIhCvivuMivsuP2iLyvbCFB4EbsO0WU+QAI/m1IWCJeh76BwC2SXJB/byeTm2kN9nzL8M5l2BzDZP/gC1kcKyhBJimoQINaMoSkQZ4Jz4TzY7FtTV2CtIHvdObF06sUVoqihX2CZCDYm90+AjxlhpEnfHn3Lk570cX5JqA5IpsXDuBjativ0FvcwztMhSSxntY8r51CwIAc6k5zN/crFn7MHWV47gcluujkAGVyrcULrMfG/Yx500g2nF9TlE40t9AFgLSoIAU6UhnJdQ18dzPOE/tG21IPBBiRbbZDmz4AYrRDPTJDB3orR5dT3YLhtvLue11M/A4HJe+GoS0VnjDEB+rYBNLuDj2Kd3YIN1yEdnVWqgxf9MnKTJPBqgWM23KIGTEDkyfljgnulu1Zmzx/InacNP/Lj/+BHSz4LXT/zGSPgwyfMxswDWB1+C4H0kZZzaiqNSmvePut5a943G2Ve1ez+wfwxqjLs7cvOd3QoBbCcHvlpvnwSVWrCTCd6TUxd0pplXhWua56R0Q+ZMdI9wLUbYNu5aJbas5P9g3soglEgO+UWkcqh3ZaQFZDfkVnrhXXcuwpTjohVXZZcTTeks46j+FNPRe3UC6NjoOG43u/9V2fOg0l7mxCFS8N4O3sblFJ+9Pd8OMcC59C5MvbRieNCmGAA/SyxR59AoAAeDHOdf9ZMieb3CsqvCa6JcYoXscpD4E0bnBOFspm36Oa6re8Lwf1YGZAYXeEIaELyRb8dAo0VDmSF7vx7WogHBNSjicfbOhJiMDDRXuDedHTLTAnLKpV8JuyPE65+ntyTtrGOdWakGBV0z+JpqV+/XZAI+Ue5Y9PYbU+5by4P47LrpaM1P4/it72FyO1WeDcmy4dOpPk3urVj3qHbtcUKkAd9ruccI1WBQyE/WPMcZt/Ch/PdFFpOnxfovnGwamw5l6xzkvp2g4n5SxEyyVqpoSJekpzUeOY+vpZaLq6FqBOKjDrqxog7LE291iTDJWHxajo3YE1Rl/P8Sdowpd3n0ECNr6zBGUiSj/7Bfn6hxN6fl1vnyHKLymA4lokYqnCw5tjUb0lx+Uzps3w4p0wRKBEPPi83owOJaDdBvqxf1CD+YxSFuXVkapeGEIsAsS1clPzyHnj1maYxUB+QG2TFpKQ/asjnn6CKQpPW37dNVsR2mW4FckB73FEWspA8BaqTMHrfmf/Wr2i6RcOn40jDQKz4eP+t3aMoT+d5cpsYxVlF/JGuj0vkpTVPTsSkb7sJy+AL6hddGak6w9kkKLVK9jJuryGhOzVdi7cVzB3tuq3QFLDOmIzNynYmcBQsWDS+Mnkf+nI1+FAaw0lg6AL9SbVi/iOD2CkID8/4Z+w4YcNht5haZHuHLRaenQvHXBTqBqfCUysHw4EKXK/K6wWOu3rRj9yshiXJ9hq9yWcrQ68yNmvUWHIr7x8lclO+Xkg3Bs9ne9JzsxOUQJJIHtWJpaX8lYrP+66XnaKPyJ0ipnRfqN6mcp90P+SZRp1DwCYToFr9/EbeDtD9Jr1Cveh1BJHYKm4Wrz/q86BeiP+IWv8l2g2Cpx+Op0J5mJ8HIH2kMp2fyyNP1IwG+GIAYcuGMXS2FHvVZWmUpE5Ua4KadfSZN8xTFnspio0+leasq30NE2dF7WzVsEo9IjXjZmNG0YfaRMy6DPy4MnnRT2ZD1Bkrb0Bb/kF3KqwQtSpJdnUDqZ3zii8oljHr9m5HgGtX4aY0XzFoLmQpPThckGrBJsWwXavBbA2j9FjTpygH44uKvXyum4Oh3M6t0cnAXqtyjLyn/HCiaCmOJQ1d5Vgpvfrta7AW3qt2pgAN0wcUWaGlkWZjkihY5kkY5bEWekpNlxY37vYo94KCGt6J8T2IiWwS7CrTLKvXPdO5UrsyZjYbhXRUp8pIfj9hvEqqz03KIX/csvl7lMktdKichxp5729M8uJfLPpVewab8Zofkqgmh5w4lirjofo+6tXuzLCIyUZ1ejfgSb9FRyc947ZOZnR510hVAX6B5ClilVe6WbcLykRxJD4okKvMIwoFDpMVGrJ+ntJ3kBWR5FWehmo4v8WRuuzj5vkjRvbJeN53gM/2ErEqyVbQdLQdVZiNqgVH2OPBUC+udlKRd7IBKpJ9uf0WkthhqJgafzgyZ4L9Ybl7O3WKCJnl//JC/f8L/D+xgLm9pSnI1cnBFPQJ9X8B1H/9OA0KZW5kc3RyZWFtCmVuZG9iagoxNzkgMCBvYmoKPDwKL0xlbmd0aCA3NDUwCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9MZW5ndGgxIDc3MwovTGVuZ3RoMiA2ODM1Ci9MZW5ndGgzIDUzMgo+PgpzdHJlYW0NCnja7XVVVFxrsy0aPLgGaRyCNU5wggR3dxoaaGi6kYagwZNAIEgI7k4gaJDgLsHdHYIHdzv8+5c77j7jPt23M85aL2vWLJlV9Y1vMdMrwGEIXS9nMC8XLzdQFKCtramvrMchq6amJATg5eYFAvGYmWVdwVYICBwmZ4UAiwJEeER4gEJ4zABZuLOXK8TOHgEo4gMC+QEyzs5Q8JPVydkdAXblBCjBrLkBVjAbAAThBoBCrMEwN7irGyfACgoF/BXnBnAFu4FdPcA23Hi8vAAbiDUCAALbQWB4PP+QpQSzhQNe/dNs4+78b8oD7Or2JAbA9pc89qccVjZwGNQLYAO2fQp0h0LVrZzAALa/evhvtJUTBOr1L4d/KQWowW3ArrC/uxqA/+qNTQdm5axjD0f8nVdCWD01JQOze2qai1eAGyjwTzvETQHiCbbRhCCs7QG2VlA38D/terCnKlAIDKwJd4P8Y5wA4N8IXXuItSMM7Ob2Lwb8NLu/yX8ay1/ief6vRf3FaVpB/rnKf+f992oBvP8Hq1khXCGeABMgNxDICwT89f7n0+xv1eRh1nAbCMwOwCcoBLBydbXyevLifUKCAB9eAORJticA7PnUJQ83DI54CgE8zdMPYAt3xfvHvngBPKB/WP4CfAAem/8AfgAP+D9AAMDzVyDef2/19Wu451MpXgAXn+BTZT4BXoCwINDv/yVTB/F02qxcbf5jeKKxrd1dXcEwxF+n6GmgeP/CtpCntYHBnmBrvNkpuLVYiENiShKinDyje0DOsEH1Z7oQpjOnZxCj3beraKP3UdbXfBg22I6Tc/RvwohTlWhRcnxO38PZbbanoiciM6DK5u2MeldEgm6BTMErjvHh2yoWgKKgzN8GNu6CZAnFEbBMaUFTvdcnCdM5ZWzFX3YxXFYmnVqQLn+l7txmtK/sl+OhTZ6fnqgk+ug6gRAJVG/8/hB1KjC2BTTOZxO6gjwIOt1s+UZzIZJeLqlinRLn/BjReVyDqmd6Je3EFxWd9UwxXvNCKMz6gVZ6L8nsuUWF0Fo60gxe0EVRCJsc0mmIlTxjYNJrb8+OjzVR2U7h58Ok8OvqaIvrYPJ1TNJ5Z1ApoSGNzrsCg6gXDpZPUwCl5sYfScal3Gr7hyKE0H7o1e5dtZAbVwWwreD+SiQi8cpzPSw8n8lcsyxY/MC34z60Mjh+HqfRF0/6eVN+RuvM9kIMk0kMs4lGD6fWJ1aWMpk6esx4a6XnWl+JwlMmHLwSFXWV9Z41ow3Szg3kK6kO8ylCO0InC+373meeXHu7QLjQru7v5Rtt7+6YtcYULKp9EdrHqmQ9QtL8+UorEsl4oEIc5/i0l1hc3NCgiloowfpc/x4vo1pskWZ93jQ+dMbmAo2OxXyly4sWZSxZsty2txJRn8Qe++usWQCf1hClGeo8l3/mf2hnFPVKQX4OzZxBmgTaX2WRoxixCsL2nCaZcZut1WCaRblIDHUj/lTTJ224rPz1QFntWcJ7noZ27BfBCKjEeJHW6ELrSFgPsoG98+93E8PPk4OgQWi2NF+d7K7eHu9ZNlv+zl4eNQgF8bM5AVje+XeO2hS6ny0t280+52ek0UpIrmztZ1TXthlYmPfqDdqjEcKB/QnDUWaLvDxbeh56EnyyCY5dX//csHpbGUtZcmmHAN10V3TW3vpCayhyrZcD4jF8R/3R8lO9vCFzrP7nFBiXB9g+kUYaYHETyattb2SjtalWohUf2bxJeoKM77taz/l84/go0ru0lNUvsihcv2S6WdPtLVJB0RV+uyCn0bfdDOGIWCbjFT37okBi4aRpSux0cVJJIh83TMz3qbFA5usWKokR122Oae5X9YvpsZK9eYOQivVNt9uYZkbp2RZ44FaH5S47gWThghVe59pdY73yK286NUe8gD7bl5Zd+RazweKNAoSt9eEb3+73z+6aVkvBMg+J5LJYwz2jY5j07xbS20c/xXm+KYAeqc+7tbRnXDVQBK59qeY9LQ0exxEq7TATGqDNmFxrl/fzwOLQs29BH4xKULfPlKJWT4E9b0tqvrW2HTNjWPbf/xi3GhVnWjYMo1n0Y20Q56qc9+tNMxo4okrM11e9FY5mJjkf7s96sYYpG/rKn53nTzBu+Q99edQjLdVFW5uYIRelka6MtjiHman6PFue0pDQ0I0f9vM3B0kDxpbNU7rCiO323eykDiqtUqaykowBs0Emy0+OYMQIu+yBgweD0fFg4yalqvDWZjXsdGKBoNNgACT02/fuEJUSfmzn5SRa8sxItYGt6yWJNVONTb7e7dYNJWkCKa0qhZwE+1CAmtU++octiRz3XZwX+f2Rdv5i+BOal9gpGunerQP5aX0c5OCPihR4j8+PSgkO8U9ipLS1tU4nlw2Wvb4ux8XdZOiohxatAFjdIgMZCvRVLRBdPjS28HGWg6mwCYEW6eZEnR6M20HmqDLkyG+tMXc03K01XZ76HCEKhOmYgnQNUciUdcrotvYGqJEKXTk3eK5wER6IYTD0g6d77+1Xls+/OMhP3GNqfwx/rTwSIbyeVe6iKQ6KThae23pHADX073+1212yLmUT8+pEuhWpo0PW6RIF964gtMcMdH2CzfS9fQCH1HQMFcZM5f6zFuJKkUyolyi1ekny+YSCklRNoEEyy0YJB6MAI/F6xCCxgo4YpbTj8wq9HUA6ivwOk/g1QX1LEz5+x+HVeBVBrOVlwSbZaIA6WqFsvR7HEbeBHLLRnJamhp9Hk7HR2L5+WMZC5dDgF3zVaqWMe+gEbuHqx5wdOl/SCrY4wiitsOYJldvXlhaSPLM+kzuB3MBI3D4nI5Q5Q9aTtzpUB8Rx6vF4NZp2dnccfUHL1JKAmdNEUvHcUo/hDRfMno/5H8K+vJOY/wL+okfo/EGQj0XPjh9EVQ9bwbIMF2ubaXK//pViN9VMOqgYi8iKcoeWeGquuBRPy9o31e7/9ixsujLUNfPOGZr2Hlzbd+3U3tVajQpdkiXg/oiqOIevMWxIgO/Q+tiOJh5E1KKwlaYT1rIwkKnX6Fn6Zv6YD2VBEFXOh0M2zbxPr06xnCT+fZWWdBHuTUC2k+fRJxXZFfQbw+pqHZH3qDoqG1rA5/rIIsjnAYcdtvy5WG3iv+mnjQEXm4j0mCWy4sQ6HhTNj/M+0Vj+6jIjOHrKesPh60aOonm5hiwCIeB2Cp85Y9K70xAPCEXiDTk28UqnaLDOVFQS45msip++T5NU2U2M9nLJTFh6rSoR01GjLlGzkZdd2xqMLBRZEFYJUoYYGYfpLnaQn0s9b81N0dGw3Dbr282kVHevTux/m5dyvGZW+71r8c8OFfWAhhZ7u/KKtoULm17i3l2t2atLXLMubTLfRyNJYtmvTairNpabjRioKyJ99K3jEqLLGuHSQhxqGGp0QCJiuvfBzghvzpp7IpSNHRInOt2s+iKTgy90QO+dvulGnwYTs9jd2yGXgI7HgXnixu7MIclyOMOzxGcc6QOfmlal5H0JmNihnkgp2opLsUNoQg8YVgptqyZlOKiOrSQGQMtBn41Mk8ufh0KR9AvYtMizF0TE9wYoC08/dF4PdYqXsiavWh5W6OrdhodfIZd2xioIWnGnlV3ZcSYy1PwkZ9XKXIBmtLEIRtdBeBkOhPc3PJBWiZrFFVfbUmKskOUW+MKQe+1DEyUmxoTD8iMAnNKr3T/a4OFhAqzB1SkPFeuv2EJj7LFm+dja75Y9eR2yGeqCvwXexvRkoztckJf/kuUJPlfKyJO4focwJlXkOoDdUlV6y54iRokX5ulpCUnHqVCuTC9xFwqaJ0QmpC47aobz0sgWGtjl9HECVf39vuxyfjMWM1Sx4QjFE/AZMm3sl5Sgq9EVenGgF5rV1Av5JE7ZIxkw7PM4yBpaqImsYG9ghHVXKAUVqDRr0kY1KtvBftlMAlbZCIwsNISU8LZd5V8cNcbcqwv7BnrJsRdkVkbFvkwKHL5XvQp3MW8QcwV7+MLYu0e9YEuSH6UZXh0fN2EuP2JXe634sRLFGLzkKk4efqmYNgkPd9H5pDU6e8Ad11LHqi5ghhYmANVlFiXayJ/WEUyQFPWdDJaOmx0mY3+uQZP7WwSvHBV9CWmydCOPkvBSJWAjQc8UFzkjHZjckY5DJBDRm0kehZ6Sb7wkgV8PsWXbQXFBWvQ4ml9tVEpRpPQfW7VDcpcnasbEAZJvjlvP8Ky07NK40F5G5PKRsO9ofs2Cei2VxwtZiAUlZKcLf2Tlyw0hqvhJu9zBF/yj5E0n1/ftlwzImr2X3YIv7ddl7t+XZerGC7I4R4QiSctgIvJf8VvfvQ4/LzLX2QoTN465YfyVazXHKdTYogA3y3z3sSJD2ywuU0wHBUtikj+D/CjLTeB9M0rci45zmbNT9dJpZE6dAmloVJ4ePSlkrENUlOB9z9TFp/GBpHszNq6f8yK9iXOq1/jF2i8D5WXkCbTdl+wfjh0p9u6B+4PMA4I7ghXujvGLVwual3LWWgP0jVSaVtt1msefHEzdBy8XY27F+hxfSj9g/TE9se3aCc56Q1SDZ9x4xAusldk4PZxFKzapQiGtq+wqfd+vEd6IsVa73ovp9Dj8TNHRzk2/bwzX+JmEAYUuurYjSIXj2+Lxsz8CVU1TC7vOpD+yU/kWKikW9jxfqyuavh6YX6prYeS1sJ30MIzpvRoJL+78ir1Ky/gCkWFSa0+xo/YtoPb1ZiEk1kG+mwU4qm33o9RMmdum9ebXqijbEeTbewYxcUhDqckfMp/HLhenXUfLc/eSyB9gRTD1APXzqLxs/1OWWwTrH152ojsoL2Wu97A0K8V089yFaOrvflxcguqLUpcLtPnPeGRdmbUefKV9HgNt8O8H9d1GjNVTNk18KGcSTpMrRXxyCk51q6kGv8SmBHK9n2eSqShaLiABXFoUaLAWftxvhUtjLZH3c7uuAXcbpwDbo/vd2JS8xSS1vaEoNdswrdguTgtcyf6pbI6P6OvOSNNQ2g9Bc3Vhry3hEJejHgo03Zvy/D0X0BLjjP8a1ivQu9pJBwO83IkRCSSFARui7RerNXYy0oMW50dRD7q+5Uj9tGhNZjwetfmjdy3SjWtlHBq1fFjOYtmVxIr5/roeW4RcooPGn91pTl6F17/50O6RhXUiVCTv8ZY5ae7EUfKFWj0PzRD9QFym5AeeY96oSH1C0/2ydUDHML2fTq6twmuWQqVxLevsZkeZk2i2cIjuV1dKHO0D5LizxNWHcHxVbsWm168/P1Nogsodl9yh2Th6TDp0vxsiHY7Jegj+WePcd8LFIWPCPtao2lMZC6U3Z02KVNXDfltCXxIhvrIjOz0VIjtzRfzl5CdKHE7PpqgZ1A6QG8DiTriMzcCnSq6HTYWNfMXnbalJyV47YN2nhQ8vrLzy7AAKOOWr8Tf3eG7tu4nthiUYY0vM4Ie1zyf+Ua33/5OOzhltHtnKXoBUF4K1ONnr+bPZbLiIGexPsJQRh5V/Hz+lrSo3crdomqykHVR8bc8LtNqSJZDDjPojaZjyzAPzUaT2y1Cv7TawsvCVgEEHMjaxhdrULc+DxiC1yLtt0KQihQMow2rvM4VY0Vne0In3pyp52j3CR0HxvmT8vDRTfvGubGexFoUC4scRCmlGvjdG8VokVryHge/nZzT0A3a3UoHe7hj3EFrk48b6tn1MNZX402zvEHwL7ZmuPboK7IBv9Afak7ev03OOJhC9W/hmEaam2eOavQJb6u1k/vL1k+Qs3o1FqjG7Ek4S6D1+e1Z3O3fP2Y4D1lUeY3BFJ9iou4KYfgplbbBretLcChO6vEj3qI8KWxwP0smg+RBRFR8bmsrt0jdMPnSmUPOYXQCP+2JOhrjdNcKaqB/IVuAWcHHgg50qs2KxVuRlXGNhspSWL+Jk4SdwDl8MrXnKNNuMrYg2fwxQQHkbekhx+unN4zTyjrCvxdcy8jWo6bxaNvcPZtz41lv2/WzAWW3r8SE5q1A/F3r/0ktG7Nn1zg+Anmaalrdds2leUUo+6HaPDKW38ayxV58fEvuXWGWL64vV0kOcR9YuDt7ITbZvHpZBUU5ehMy8IjnMfq3JpFb08jjkx/uvTC/C+bvfbrq4jzeucuJ75433gkT1fOKW5VHbT54xYC0VbkFc6x+glz2RxF6VIm+szyMeeQdXZV6TfXh1zjLu8lVas1IbeuGmfsYxC84zVlJW5XAtUYTmHnkohTpd1eHyz3C2pXjiRR+w68Xg5KvbtaXhWTzjIVWBi9G9hzFWWQ3XUQqGqez/WhEpcJIXvDeAiI4fYAeCQryHcsLIbOT1bq590zo+JjQrj9bpv7nbGoGMIEbe8Irodf/Cfcb49sxGH0x909RZUhuOTcPjuItnal09fUwRznHycbdzE7lVaqzCptqBriCJnnOGQC1CaRKU9FH1VEZMaaiJBiU276Up1eB+E9XjZhJniHsEo7cLL8oLc6iAijNz+8tlF964bMCwjcpGvs33rIxq2ul7qkvJT42ukY3vQ1TOf5cYseqFphq7vJ2MmGjhmfs8uc2p3LLuJF0DdDIMt7rvDUqJo6OgRIo01wp3oxNWLpoKMXuJoZD5vGiYo7/x8V69Vgjpe/S7L+1ybV35IPVU0ituISz0dlRze+TdCjJYcd70nS4GuWXbIgXtjuiHKXdTgnui5TQz0aRqAd6xE4FP22p94mjMYtg/MDO+h+2K8epg8q9Umoy984Ti4bQphVkk0WKYqB/beyaM4kFXQ1yKNfF7rwOoJxoEQ9b1Mg0F1Jeb3zKX9MtFnJBoBKwkSON9bchJUFwSdw9tG3Ib/h2LGvwcI+solMEPiz7GNGcOIO3BqoRl4wpmF4ZLv6Feav5xdYZ6t+jeuh7mXXqtBMZtu33jPP5HDbH+ACpkUErldP0ehlX167KnRHkR0o1TIxyHja1B8aNBbn/+D0nduW40zwAsBvWbpAaCl76HOJyM+gyxHDb7GYMuWkn8vvzAHKHbMKtivgRv9kH/4XaXfxPdEubMXqcyAs6TZMcnOKeCP17eWU6Nn9bX+r8Vj2KXlvzFZPfrhYu/MXXJKzNjZo5Z0xYoFhrbNZOlBJIF9QXQ0XutsD1nvyr2+mZ4yhP1A9pClrNGA+hzfjS9iUtYc5CZi2xxd9F3mWPF80ma+MrQWHKPj+FnSy1kdpNWWqTd8LpNZbiAjwbo3UDV2/HRYRVFxTiesbPAjYnE6xegYrsmnehFPGFpaeaRr6wdTG4cKwcZGL4zG4ExTkykUo2FztgiLDwfietJ9XmbonpIVyz8zdvK6W4dqKTiNxKOrhn+uJlTWOzsmZg+zrDJx+2jPPvMXLcedkktyG2CegINClOEUOQWQO28flzn+p9db05a85/3LqBmSpZPF5AG/GxwKYgnsylinxQWzQdNmHINOI+Ij0laP+C7wP3Ie4i2k+aQo/lvqgJ8UK56/XEhJnOcbaGt2pSOKORO51sjdAjZJpWWdC7aSe5nN+9HvVS8xuKlNJVzjaW71DYHAx2vPRb9hnFzc0u24wnOc+yTa1sZ4mwxb/Rp5USJCBxhYUTx2lVnlBjVIXZ52lUfRb0eY7tZOamx9/cUzyPvmGxTQdi0WQ9fSshAgrsmrlYsN2Sayfm3KPqpPW2v3yVVD/WYZpvKh3nu3XaYFVleV+dfjeP9Rk9T9nds6boSKljb5RP8eBIQ2TJbOOa12geNc6ZsB2qSl/WNQ2ER+s9vcrHE45TlDCARFmZbsojHRaZ+cxYDF6B9r13YJJmJP0NcDiHSGxdDuSZ40Dcs9upTB6KdtOr5HdW0q0hZFLutt+Uf5L0fkWHeX37yyQZP7RdTGr0Q8VUdOM6IvwFtHvNraIy0mSgMWZW5GViI0vx4g22+sOaX2hf44J75iYpLgaWbtOVzPVtZvRpEbVPOzm/QdHSR2PTtc9ChTJhOT06yjouYxr0rpb/RBA7qT9E2U3OF70qQe5AOXWJ13Y7Hp41SBiVTD19zDJwEbinDP4cI89podbfEqFA7j8t4xuWUVyDx6rekLOnjOxnAcUmm35ieY9RQNFyu8thshNoEDIXpxK+KSK6tObXL1PwTz5+NMj6dBqSwzaq8snZ5sVqBN6SzCZ8Ze9uVjnG1hg2yluirklOGdm4dfw/vLTixQJizUwIVqwo+pZALH2s/Jvtzy7pCO2TJzHlRXXgeWI63Z3xZDTR787XDM/W61anEcxj5NepoPrUsqnFOPTahObo1s+U28MZKzOiCGn1yUWTK9PDQpkVNCaetI2SOqNisY7mvHlHd2CsQzIGtD+uj6b/sRVzLGqiU5TqBLWtr/WO6vsbK1S0AI5TXqxN92t2u+nGbRO2bWMNxpmUVfCv4xBJb3z01Hd0MagdLralXgbNlNUy6DBHqIcP+F0MB3i1kGxUcL3sTUPTeE75KLV91mVrUd+CifEg7WiJ9SY7zuoKfbkcnTn6kqFCnoc0qAKaZDGe75a8doPnY4mt4mFeIRFfylXWAcyqwgUxb7EqGeT2MoCXu5h0eqiQ/TlB6Bw1bytaMgEmFQkN60KQtSdhoakMNAWGnJ2Z1PKS5/9JgW19VfDIae2hk0J90IroAX685WSpSvAj0Q/j3JCxb5U9cCxp5rJJCTI1ef+rHJKdfebQ7RjJSIPM2Mi9I4+KeL/b+Ytt5GnC/8EVDvsHelxr1xXNLSAlr3NbYB3/EJLyG31GaSkvs0cwveEE9+wuNeaE0D+nMj3esEu5i3zBUjCScy7myzxJZVc16ztOpkn6GHsXSFB4wHjamNokt1VGjhicneWZobo5uiWnOHIQTqvaJL2t7qrorKayA8Kp7e9w8iL5x2bOBMCtU9nePyPVPUj5ktkJvT1nYbPqZBXqCaaLEMcu7sV4IxyfTY7SPdI7UgzTo23LCOfD2efm9vPpBl/5ndv6Yg4fPrgYz33MiuAoi9EvXW2u3Mup9twYegiHsVFcyKNQ/aYiYfq0jC7MVw51yDB4MVlSsgo34LYaz3EUGJ2+qpThGQN9JMW2EuDYn3sIlvEac205G/BKwYrMebcwFBbm5litn66u2w5O+B6Av+WATMzkMzCWcr9ByZWfmDilTDKL4FnqudFr2unZGBAnQPYagpF35ieB+DfNzL5hNI0UqVkNrCTpORL8ntCJ5SPjQeKrtmDEcCGKFP0dSYt5Ujh3k/kDgBH5utLqbVNpYImlZ/u6PU4EmDFB0f6GcuBQtl6CmYmInhUq4rZoTdxW+0z1LzqWBbC2o6Ynn+blM+zkU1Ck0Tk3xSnyU6R0rfwFUD+8TmSlZRiRek84FLjaGSEkFMVTdge6nt9vozZFp2i8BqQ6aOWBulbAh/FCae2xMUiTDxd8fMTL9tiqJ+4X0YSwdsEK5EZRU07bdvq5AA9CcF0keWLWZMnMP1PiWj7r5YeA0pz/wNpfHajyNemxPC/Ly5y2LF2O/mg9FqnVqOr4P3veO98kRHHqTJsCoxaEg3ZuN8E0V/cLNMTFDnpLsxD2V77Nym4xaDg9VE8Wxkw4Pdz77p+Iczff9ryWAktkEqiQGz25LPqCw4L41Zgvza3uR/eFjC1tbjD059tPlLNQYK988/KwqhLK1UIgBFFDv4DNYOVrq1jE8ebSJidbFi+SpsAyr0nLge47KxLHgtqKx8otosmTNIoD+G0YhRR9iNoc85qKGwkyglSghbORI6DojnIz3XT0KwUnNQlCegmdx6hTpOXP6RfYXa1f+dzgdzYIHhHNfDsUgJfMX27SRe0221m/4r05SeqqFfrDo7Il0U2TnpkQG/U6P5DgAqW5s0ZFW1wp3x8+VBD2AHDbsGnjUmb4/i2VH8+j31LQBt/pW/7pwUW2d5BEvj8fPN5nxjuF7TcsxyIC8oBGC6YtrefXtgsc0ePtrGRYcWspLg71IwkhgRYrVSk8GwyiuFkuLN0x0cAb+fz54/5vgf0QCayjYyhUBd7JydcT7L7QMpckNCmVuZHN0cmVhbQplbmRvYmoKMTgwIDAgb2JqCjw8Ci9MZW5ndGggNzA0OQovRmlsdGVyIC9GbGF0ZURlY29kZQovTGVuZ3RoMSA3MzcKL0xlbmd0aDIgNjQ2MQovTGVuZ3RoMyA1MzIKPj4Kc3RyZWFtDQp42u1yZViUbbs1AoKAI0hJCUN399AgJR0jLTnACMzA0F0i3d1d0oJ0g7R0g3Qj3SCweZ43vu949/H9+v7tY9/Xn3utdZ3ntc6gpZSBwxw0XW0hnKycbBwgoKKGxof3YGYpJXU+4BMBoKWVQkCMHaBw2DtjBwgIKMAuwM7BB6AFSsFtXRFQC0sHYDEXBwc3UMLW1hryxNrYOjpAECxAeZgpG9AYZgaEOtgDraGmEJg9HGHPAjS2tgb+HWcPREDsIQgniBkbgJMTaAY1dQCaQCygMAD7X57kYeZwoOA/aDNH239JThCE/ZMZIMOTOcanDMZmcJi1K9AMYv4U5mhtrWxsAwEy/GX/v6nGNlBr13/q/7QJVIKbQRCw/7yqBfm7MAYNmLGthiXc4T91qL0M1AVipgp1MLUEmhtb20P+wYNhT9msoTCIKtwe+lfPgBz/IWhaQk2tYBB7+38qkKcG/YfNp9r/Nsn+f4/ib0nVGPqPWf0r7b9mB+T8P1jJ2AEBdQHqcbBxcHByAP8+//41+I/HpGGmcDMozALIxcsHNEYgjF2fbnE+IV6gOycQ+uTaBQhxeSqSnQ0Gd3gKAT61zRNoDkcA/poJJ5DdDYKA/0X+jbmA7HAY5N+QG8ju4PwP9b/XKCkJdwG6s3JxAFm5eJ8e5RTkBvLzcnj+vxxqODwtkzHC7N/Ek4xp6ohAQGAOfy/JUysB/8Tm0KdVhEBcIKaAuWm4qdDnT0mpyQ6VbzJ7ht5pNyk2ZPC9sGVx8aO2+HodpfMl0vSGC90M02pqnlI2GC9Nnhw51/3sC5zRbGc6ajI80/r9x05q8DUur70vjf+KVULIjoIhsNgva0vLzJGXMLEkDJYlzqsPljxNnMmtYCiJ3UO3W5myaUO6GkjbvcvsXPldCUCdujg7VUhy17QxcUgkkfU8xO2Woe7waV7IeY0wccLptjfnGsuDirrapQl1i1xwo0fls/5UPAeXduJdVnU30kS7LvAh037wNQYzEVqygfhQ27rStUgpIon49Y4oVIRK0ahowJ2dOQkxego7qdy81TsHpxa14kEejQyaOB1HlHUGP+vjvDP8H8VVNNKIUHdEFfCZxBnDiyZyBDTZR6qqMPIE6IDrTlE+71zP2C6AwyGM7u9VtSfDAedb8qMpydzLPTaGLzi0eh8J8elkrbzFIjFZsle2DmLH2f9cq3LqNvYX+Gu2H6Q2hbfdxrMFb4gTNlncfKU619mn9fbMRFX75d+yFDShMvyNtvu4Q9ifn8oGZszYVuruWjocf9gPzUd8h0eGYL4sfBCcxvRvZbNgObnxSestVXWzAnflJv5QUpo4Wu+IEoet+domXN1xr8Y2L5sr5kWRbJbFTwA/WJfOFNYWGdlaTZeUj+biRCiH+N6j19yt9584ezzIcJ+HVNsNBVk8p7cpURHCpjaBdl9dTlR4OzP5giV/qBz4bAb0EFN2DWrge6if2/jVN3iKYFiwvQKsdvuOWOO19NvvIOxxZSjPDhRCCQoOgdy2n4M8Mg0CJ3I9xX7/+HQcnddD3aC28qzVVKSbfX4JjBM2BaqQdBU/Uzy1QxMOQBYdavDKYUHFMO079e60f9ASZ0GeA4Sp23TayJ8JLyuUTAyuM1FqGM1SYMHMWjqVKKZan3lIlZKIO4qJ1MmkDrWW8Ky3gqoOCnIkOcPX90UUzyJKv/Esll++dhSnantABlftiTKSJfsyxigtYH3LQkRdaPBPmrbkPp5/c9DDH4oUIE0cf0kjavWrvnztq93v3F4nCzo2H6F8bjHJr4u7jgpamopfGF/L9r/no5FikhwNE1eoeIl/HpLI3ZuPH1k45OSaeFQFm56emVac2Upvoi0RL9D7inHUwUyHn5N/lp+kWdqZ9DBhpSrndXSA3vc2J9t4llx+/ZvWuPGKptlkpZfbusVUoxkGExjfsJy99ruXVOyWbgZoOypH7MWQUtZ6t1iXtIbm5x9dX1xrCaLzojcqw9YY5DOpOomkWFE/ZSxK7ZY6Y7QhK2D0PmJnQUxAU+HLYZPSe1RvUl47FkvRXJBR5BysEP1yKpNdUCTWCIglq33bbGB24fX8qOX4p+R+3hIQs9ACXViFdUF8QBPmEuNPCLjcSCVJkOfq+Z26OcZlfWFLyUVE6Q22It74TaCuk2WKDiKS17Omw5Vtvm366smoXoo5RuE1zSdaHbjbJ2Rr4CxbdsQx8ZU8tgg1fIhYrsBSYVo0/ztnxBD2kkwekqPBFxkr9LYXfJHKBe7QnOYa8T2iwBGt8nZA27NhF/3SZoz7DnqCHPdgTuBGPug4r+WeKDw7zeH6QCq5fllpPrLzel07Zt1NNJ4W9niWJCP8sVogG2P5Dd7PwAy5P5RciBKKB/RPXXNCmOBQx8KstZbviSFbbZP6Cf2+VtiNg3WeFueSoxh35GvY39I24UoPh1cEamEEYUDE9+6Jvnmr26hS/5fhXjgiGZm+od8e64AUydq5vhKgRwWtBh3a4K8CXnwXr/1Baj+wCBtI0yJ973qyq2a7R8/ApNZOJ8dspDv76gRrkZRHn6mw0qkeY/kfMz/qO6+/Q3Qlav00bqPLTbrv83ljHrhFg6nLlMtwWEXP97LYdyr4QWw8IoRPNYupXFH/1hWI5EfN0wfqVUGpo7Gi9FhUjAt+uJuMTw9umXupZgq1awaULchQNeQc87+npRdIYVB9q465iY3QmNdNQ48f0D1rHfsts6d56uuREXlRV+QsvxhxFmOZQUE0fjJ1O/u+cowTI9eKulHeikdO5NxUv0Pc4jXqpkDwQnEHQ9twukP1OT9vjRfWhiHtbY7Tq1weeXdqlTddrDRK6TmBdSPaXRktQt5zJNm/gh2sXZH8wKjPLdUhGOMF2kbRYgn+eXJC68yNL7Xkg6GnBagWcHL5DeT58LJdDRubcptQvEftZz3v2mrflsgTuXtm74+MkTL1sNGvwmNMuKx61Qj1Rmd/whnKXFBxU0opBmxP9bNEhJNn9C7ge+XnLbfN0dKRmJPfGG91jN1ukn1oq36FHZw111snZhJryrzBoqsZ2IjAqirfVzpnDbx7p88ecrEdaesN187Qdd4e9L+vpqvWV2JquPrSmZSl7XZZ6N+sJXSuDGTJrCvkg/czF3USaGceZw4RqNrsKJxvVAdvL0y34aEhCpUYdRg3G0LsaZDNV1XWMnOrDzPU1Z61TAUjipxTkcmxhPGMumSWuq/sSSV6aE0OXmUXTdHMjvPWhJjK7uVPh63MZ076OT8ePApivbIkU9VBfLsBSxBCAuPeOmkdRifMwigwvO45AeDOL+0zH7XNyggCZ8y98VzsuLuz2HXwvn4lbg0T05qMzidRCwaEtY4lrbmFYjkuTR/wsVIPU8qjFIB+WTPcvyHQiOw7zJEJvzVD0PEGSYXi6agYWCdvnKTnvH2OVixcI+HDTCFrNDaVlaF2IFHyrqhGd4n1MCIgNZ6eXJTzEb32gOV2B2R/x1LNwOatYdTk4qK/x094RVm1dqNUT/MMWOmCjFah2m+lop6zR2hEc2LPJ18sSlC3mo/+3TjCI2CoaDEAcRw11rWabswhMTYCEo6HIrdasf0m6lgzLAZEfg8vE+VjbZL71cUsHWPWrFs71JTXsh2X5sf5x0KXtfmgcEet+A4NWNKKvCUhHEK7eEDhZarMyQJsoJZjlEZPoW/vCkscy+hW4aY4wUZV0BwiovA2KYVp4gaHDdaDNOuIUFc7fjGAzemlf9BSSA5E6FVEUZFXihTlV1d6od4aYielkJkHCcyH9PvFKE6RE1NnySbNPvsskThagWU/ypYsypPbeJgkO7tynclqZWVlwlC8I883AzJ4v3HIgMzjzfy6fnbZ91FCMzFj8XF3t9Xm41b7gSKRMY1H7GTW3bq52D6rFtqDyuIFq9awV1Mq5b0REelv0BQ2BgjuZI/V1Xbie69/UzaHJBBupC2Ai4RNtnfAUKtF3PWa+hMumXsH9tyCp1tGWYQlJTht/cGmf17zGpT+YweV7o6Gw8w3pfkhHWN51Y1m4e2ny5F2i804u4Mg4ZTSPoAZ8ZBH9ScLJiei5xpGMpUhAMIwUQE5WapTBGy8fux3ksmgda6EymVZQ5GhD+4RoVXBucj0/TmuZZ3nMGtFSlC/Zu2zg2YM2wqYyQgHxdipguurBn8J205gTRniRHr/YxZuqlSseB0wMBpc6FibNkL2AsdIctT5sMjJIlJTzgnNpUSyecQg6wdOy05pyvNuXgkyWIKwMwMdSps+YQzUYA5kddDopLLaK3OrPAW4u3c3dKCe4ntuEK5CM0WzrgCKjEj3YJhgCDQ/Uu3VH7+5zEGgYRSmGXZofGo+GkG3s+2/7WL5uQ4SdI/49Fn3dQrilJvO25xTRxd1XCVG+Cweb5A2HQ2+tPaaaCbrlGY21uozQVCOTt/pNk+HQFs1pRoTWWslxe7MS8q3UNXTBimnOulOhi6RiEQDqQcvD6NzFPaXnPUfSX4rYNS6QYinvoSU7gJIb9PboRpa493J1LbSQS9JPY0HfRsIH1tmquvKy7OUsZcOvay+znSPEFK7tpJ1yPzosNwny09EH+96PO2uf7TDW9v7fmDwy8xHtbg/fPj9sqH+xo8PncAUxTrdQgnrbMkIkOuW2VsUXB0F5er6y+0L2VhltWgBZP73S+2CKJNHR+emP7n5mIV7ZI7HYtZMON6cUoqI4hd2ZAYqsBdqz3ZSkUEA+SwaaynxZ9xZ3H8IWhxAZJEnMdGjs8urZUZOxTibEkWhikpVjrAxw1g9f9nIY0Hy69Lcnp37/CGR1dxrkhxbMqDqyFVPb83xs51ejTiRX0L6z9ZxPnaf63icUQnwRSVfra8pc+UUHrLYkFN4puFcbO0ljy8yNXpjRZ1rdRDUfHCh4/4xxiydLPA90EIAN+5n69asRGbBS9ZRWu4D8+sP636xTstBkx7ETPDY7K+njOxIWeWsgShEEmPl3Ai6HktmHfq81z9jen8Zogw+ys5+MtbhLZrEsrZDlUcOkTaJmX7x4YPZ5UZ4sqWKuyp4xcf6XQJamhXT9YHnYKVu2Gryb+0RQhtDofddojMyVG9KvyCtUzDuj0FKag1CIMqlIu69sjuHxd7VeT2U+YTbtMFHwvFXSjdy+PN8V66Zrd2DVEZpDpUaAy4WsVXu81AXu/OF2GRwYwKGBIUQ57Zaf9UltltbHLZ8X+jLn3EjsymNFndXcUdrMsHC6jVjoV1xcrnCmOhXJUFLoCFRpzIxJKKhAPYa4vVK8XqCmuoV8wwBnIWtj5wsnIaLm6WK1dd8rbmdCAOX06CKF2tOzKEijSRqeCOR7bxxfY/WECbU3/GSVIutSLxCjFYzfGxphR21z3+jc8bq/QgmjK8uJZD2750SsGiW+wq9RMoP34rhEcgJJsqnxF4I4yOTdrdLzZsYArOaK/Z5n0yqp+SzG2XgELrRCi7OsbqiAO6sVAjde7CrzUxh3ziyB1DTfMcwnxfxivrTE2ihuzw2vOF/SLy+ZFHB+nRtudAnLspnSVYtoZL1I+LSSRLt5Rl6h4m/47bMqKkJ2owMGgt8BZRmM8x5ayC+7h97qjfu5WINwOoQbAMl39jBWGiY6AM7S7WKDhPiWnatGUvfmA+e03mljW2X0/nxaBzxhY7waX0JSSD2JEJXLe2ienAb5I6l6As4rEUH3BSg3/4a6u2bwRapCqBcZ611LJLAR21TKcQKej/LXBYOxKxVDMTyNPCIb7eezyWig+BxzMXHkVuqc5apAq/w393wTFBqfkzkJQFg5DvM65j20hZtKTDMckytPM4GD+gwk0tXs/ITT9ELTaIs725kQMBRfAEWalVdfZyLNbzDxUjpwjWpWTNi8e7FCSKhw/vorwY3Vj3fo+lgvJUX1IPTnp5/8cDwx4SM1K6vnqnzjt1Hz4Wi9YQQV/DHv1rZpHu2vFeU/ZbE3WK1q0RR3OjSFLloP1kOtEjCFJiHq4Tnlb6xnmiY8Yg6NEzMIc260Zz/m7TMVpLzIrYmlhlZR9kjmd9J0W4i3V7qXoZLMK8GexSbONOnhDTlUnOf4A+vYm5/sejb6fJxbTQ7kNOESnpPV6dJjPhFhOBHEj9SpbcuYslarAD6j9SEprhmb7QVG5PJd/YeMbQkif+Qsmn5dUnF0lz57bo08rzvdrvCmXJup1yP19DOeiujSqTYwkazLCUoOPenNWLisCUDjnWd43TdmFOoezPiV6me8Wu4pzZCYx0r+vJtZG/Xkms0sbJmSnPwaKYu1wXTxp6fctFceX8k84r0QI1W4Mktner8T3rvB19vAZu7EA1WoRaVHMNdTxS1gdf+mXepqbsOutoxm7JDb5pab9yYZQKwEa22QeSTb+WfCcrjqnaza+jmc9UqFw6SAia1gO0ITvTqo825gI2l4Wgeo5mk3g7sEGetMn/7XiVV0ukZPJIQBrujJdkSi2/Z9XsVIqMQ+mfPPXSRNYh9X+lxFKywWUMt42eAgE7ZWdllIPOSoxKMorxm4YMJn6klkrNLTyegRPvzGbsBgUpfA8/cs3Q/15BwV2aTvATTwvErvzgniAjY3ZMVqzBwh7jk8Q/0tKxmzdZ+vC5/ov6qQthgA9eC6jFLkUbab80sbD2A8pclCGGANRBJzVM0+gX+irzWxqQBJ8BCU+eX/ZJ7oQ7TN43YpONn+pccQW76DGW9OOtfZY4H4Xb3obJ/BI69TyNDAp5Rf/i0m95uKmnEb9y6tTX1bdbU6Pm6f1OL+TGE4r7+uublMlpClzy7l55w+NT2yz6nkIVZHCh3oTRxdKN0oFEBpcP3jWxCt+XtWJ7Xbe3MKpi5UTZ2qOqyNOlTOfqpLejchsLjtwOtjflYRFskyXsxI7YyIWbmFN54fpR59vjPAx29Pp4MJ82LnFf0jaiJnaBEE6BrpvMYuK2ubG4PuICb+LCZTQ8KjANfaXqJwpfAyWJTxHUg1BxBQ2qDkO/d++A/9Astib/R866kisBGKIYpG5a+g41lbvFRTluu53dbng6X7Nnptd3iVbKRj+bz/nXsSvb5zdejJxg0ynI23UWdaMeDYZ2iBCFvPv3QdXIcXf5Jgp61N8AfE+3B3c66tcOnzF1sTVbKgE3acrVwLKHTRIUYQf44I/278sUrdv5OdjVm/+Y/mO9b585NcXL9F+/+bI0mQD1cfrNAQ1FU2uCh1Ri/Dgjawq7y+JfoBW0mLUXwaEkL6KsTRKIGgraHL9oxXFOpTWraX+rmem0YOUjOqEdf4wKMZXHV1xz87rCiU7tyi8T+7DpkTH2mbUDeZb5X0ODdouuXU728FZsc4Ym+aDE3VJETwRKzJrfqzbsnnx0NsQzXov9e0aH5+ObzNG9wCqbq+UrMjqBEL9ULD1ran9DZ7Z5EP+B0554ShwcsoNMVn4bpw6l/LVeoUAGH65QGDclCMbY1WjijIXelJjYfwHz6UP+rMc4SZXFwUK2cAa+EKXvCs1fS23e4b/I5jlaT9NmGUScGdo0tNMCG5DzbH8/MbmPt3ja88LAT+gQdOghRC7hQ4kq+0SC92uvi8XutdzpXvBskFIzKljVqJZwJNUdFrYNhH3su4seHehGvieFVtyOif91i5GOK+iOdqTOkPabJrB3Qw0tbOB8HKwdbaJvALEff+Dvy9o9IGTLvq9i/K5Gr95Wq8jdjwSpshcd7D2JUx6TO/IJ3SKLdCr0rwJyq+hX5KwNdnwneKYkxvcfPJvWyHzvyD41JCtjqaHgtxnp54dr9+4BV44aqeZMiGWnL+WaiX95V7yaiQg+zpjLSNqJT+5As4BA1ahzTJzHUJ2+bKCBxd+kySdHFJ7h00h5WWkp8rzWDDMiIo2G8l5B8Az+IgfvTTNA2HaU3hluA1VG4JfCDxrAdGcTKBM1EOQoL0LHk3RkNBZVDsMqKCdec1hMJ6yy2RNMwZH2gBWpWoNPrtBi8ebXejxMSQKR3XM4qtGylw7IroA+pjCNnzOjXbrM6WkjPt8WQfgYNQq63K1myQ0ljo5wa9J6zGSvrbrLEnE/LLmsx3GOCHyWNlsnbAsPcgCiZ2QAHhraDDvboQZRwHN2JWlu9cY+JRkI5AaUNv4216o7Pd06jzlEl+cUUZn7zlR9mjJiBhWYSWQNXDQVENlujKitlDCSPN6saLuN5VuxXTCO+PoxJACiJXXKLmRVPDjtxR59pvVOFUmjLPmJn4Z7me3HI8eZIAvXkJ09HzsxE7exxTLOCEssgKcB9yeHZoajVp/EAq9fi3hfo3uwu4K8KwcJVjmms9VUFWAeONcu8TYQG1E04givs9N+bheoLCAfb7/PPKfUbkWbFCHo1te+0/NkPFPIfRU+UyRwKPC7jubtTHk66HhL9TF4BvtaBtVOHmWvFteSjLi3aT+axHu6l2dLRWFIVC84dhy2xBQqYZxgzI3ilHoVnppVY4/sdQFhuFG7ch7+/d0q/ubhh/s6HIuvyamM0ezmS992B7jv7q3fbR6wdXVB+XO5Sze1l4VNmGuZbSTI3ALCctD3xuk0sxeNPFJbEHbKd/h0w9x3XPJ3nqyxnNvacElJ6K1fQyCebGZJOc+41RmDNgr2I/8rPYw1tLcFeCdQVub37bycug2HQIsxmz5zGuXjDKGPgJxPvKJxegPORSnUtvhHsTZbNEbPJM/GqRWHqZdHVZT12Gym1Jri+cfgPPM0HIqXjC1S8gdUMoPOJJs/rq7pLubl5joxO89GsGLVB6VhCkQV38/Xvx1fTVB4/xXT1jwTk6go/m/lVZU6ZKtDHCJRbZsY+LyPzTdDj75pzdOMyZ/cWUYux1YlE01Bzb61/C8NPQ3qFe4iPkWi3ONb3KFf0gvKSMWn2MvBOJGshs67uZaDA8fnl1YQPWECadoHvZxakH8V5n5r6gggd3ir2fCuNfhc1bf+BrGHk7c9ym9vP+EhXSZ5CjElhJ5P071dv37NQNiLFaqHFc/tEpfsrywwwrpxxmjoW1NxPvNB8cXVE0TH63qUetJEHMqjUy564H2U8vzBZDt4vwhNYSLgnCTEBx4eidL3D13KEa3ZiA5dWCdW8qL84rOyWu5WCNsmOJgceguY3PQI+jydG7j4uVbjLLdBbL2/Wzs4IUUZdN1kq5XVIiCs6x764mPt89OfsXeL4V51z27LsBsxenxPpmGHZrjDu2ZLZOd+PU6m6lRYn2vgM0iIjPePVWBYMMl6L/iwqiy3+9otYQ6z2KxJxcYfLM2D/GtxqPZIGK2Qeasn3oGVkU79HVBRr9XuPPKLHrzYYmnFszOYz/WUvq2AlLqqWgbitVCV5mRKJmSPbbVtxi99GJ8XXHzod+et4RFXaMqlQXzWomv9pvZlhzfwOUUw4VaM9or19aPqQgNJflnZ8CFsjG8ZRoqQrfDG/TzMizvH/+QH+N8H/iASm1hBjhAPcxhhhBfgv6EX5Yg0KZW5kc3RyZWFtCmVuZG9iagoxODEgMCBvYmoKPDwKL0xlbmd0aCA4MjQ1Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9MZW5ndGgxIDk2MAovTGVuZ3RoMiA3NTE5Ci9MZW5ndGgzIDUzMgo+PgpzdHJlYW0NCnja7ZZlUFzbtu9xghPcadxdggcIGiBYcG3oBppAA03j7iS4BQvBHYIGd3cJFhwCwSW4h8ve++x93ju33qf37dZdq2rVmr8x5hz/IatqMdEpOEDhbz0cwXxcfNy8YgA5GVVFPQWOV2raBqKAJ4LDxPQKBgbCIQ5QOSAcLAYQ4RHh4RXGYQK8cnD0gEGsbeCAYn5eXgGAjKOjHfiJ2ju6wMEwToAy1JIbAISCABC4M8AOYgmGOjvAnDkBQDs7wJ/7nAEwsDMY5goGcePw8QFAEEs4wAJsDYHi8PwhShlq5QAQ/QuDXBz/NrmCYc5PYgCsT+LYnk4Aghygdh4AENjqaZuLnd0boD0YwPqn/v9mBtpD7Dz+5fAvnQA1BxAYBv1PVz3wn5mxakOBjto2DvD/tCvDgU8pyUCtn1Lm4hPk5hX8i0OcFSDuYJAGBG5pA7AC2jmD/+I60KcodhAoWMPBGfJHMQG8/2F4awOxfAcFOzv/ywJ+qtx/yH8qyp/ief6vJv1p0wBC/mrj3+f+3VYA37/XakA4DOIOMOLl5uXl4wX8ef/zavIf0eShlg4gCNQawC8kDADCYECPJy++p5UQwIsPAHmS7Q4Auz9lycMNdYA/bQE81dMHYOUAw/mjW3wAHnsI1MX5D/on4H8CLnZwiONTgL+ZAIAH7OQCcQXagaGW4H+wIIAHBrayA7s7u1g4g+H/cCEAjyPMwfFpAFz+ePwfFmEAz5NEB7e/5vFv+gLA4wKF/DEwQLt/oAiAx87BGmIJtHuS/Q8V/Yf+MbF/06fK8FjAgJZgO7DVv32fZvUv+u9o/71RsrIO7gAvLgFeAJeokMjTHkFhwIsXL3z+X1XWhj8FBsJA/4AnM6alCwwGhsL//ASe5gHnX2sryNPUgcHuYEuc+VkHS/Fg25T0VHglaWbfiJx+s2rjZ+FnjpzugQzWJdexBqExljf86CDMdzMLdIrvCT8p0yDlep2FOrCBdmZjp6My7V6bdjHoXBMIOQcwBq29+/hhR8UMUByYtaUHchEiSS6NhGZJCxnryJ4mz+VWsJYm7KE7rc3YtyNcDX3avcvsWjuoxEGZuTg7VUnxemtvAU+mUPQ5IuhRYOj0b1nMeQ6zcMXvcbbin8yDSHk4fRLvkbwQQI/N5xpVPdcp6yK8rOppYozzWBRGYtINAOqwk9hwiwmjtHdn6FHSxpC9MDqmYjjhSuyM+JWL+kC81t8VkoEZ5wB9R734wJ8dQRfBtuuXZfE5I3cmc5YL1/Qg9oKX4VJUxIuEaiseO4TydmuDsrj0yynxA/+DaL8ga+AGkL91MFlxpjbLW8YDZdV+9wSxcFvy9NEVz3y8QsTzned9T1gB42bKzK5kEEsJOyHW6q9WMbOxDIcUSKa9fB95SlGXD4rfzAL7Gvr+qQxlbfFFjn/ixtwjnrRRqWR6r+NcKVOFQmj+7kruzzexv+KDOE+sjBSkF6a8oMSCzvmpcdwxGodUsZ8hs151299GNGqnP7XbZN4PTJh9WKgwt6dB5lp87QBDZeOmZ6nvE0KxnTvHk7BfqYpUNOqT1j51YJPXxtsSyNnP3AjLanAiNdMP9NL0Fzspb10W5n+ouV3zoFQgEdn2pIkaNTddZEK1xfdZHu5ua0Hpm1obxltG+qFBGvRCb/gwWC+IMyL2OH6jE0wjPnISJzBdHfZSd+fwHqFGx0b8NHuf4TYaMdfrra3PB6FyGgrO9YJQ/EqDWwAeUMsxl1q+c9fMA4OwC4JZvpXSeuEKSwmMzWclecB9nK2pc6FIOirV5CeBuGwXjbxl7aCVLRPsqq5FJchPLJTkqPmMWoott0E1A9Wot8LdGwthZTcGSJNqB0xM2Tj0Jj7Qb06bERbH5NKrBXpRqqNkY0u16MkzInmFNAeE6OhtBz5qK1ARMEesUeu72GZOMnSRRRt56EFFGBkazBofQr4mtpPUUr5YoiL7vm2/iUmpOzbmqcK9KF2g1oTIOthPxn47KfNby1J0VF+PyfqQe+L1h3lS/92dvXAzDGwB8h08vt2Qi4m488+TX9M5J9B1y3X6nVduKKRzinOP2wemQ0Vk9VLcGHBC1jyHAqBj80KLCqecVYiN4JKF9VxXJeTJd8GSCyfRsRqefPyL0siRM8C094NcIUiQuE239UjkHsGJMvbAI2+5UuPzrGmG11+yMtsqsXDYVG1B+tTPucXiwgcQs36i9zjrCFs9ptkuYw0Ysig4UpB4vxkKgCAKMOMqVBXzw6vCphdJqE8yAsRTB5og95YWupJuJ8lX0DCkCzgbavj7l1ZiTIHx12YUzdhCPMrUGdNrFfCpNSemny3qCe+Q19TGo6/UeCGhQQ8GCCDzFMUSc4YZ7ahpjd6Ys7EKFOU7CgSaeTdgvrI8Lo5WpAV2RLn1PfhE3aozj8mGdepbe/536sV9CYI4FCLPK3cuqZMWEw6mOuAPyMEoU/T4I3588mwS/2M9RTgBrX9de6EppUnImYZYlvhoygS/C5KBSn16Abl6DJZsez+8WvXUNf8W4PIiLh6lDOk6+V5+DbWW3p2Llb1PiZ32UYXNoiyahV6+wI2R68gttuiAtS8+hrWOrqhATLDE7uP04+IPlrkJ0qT2mLl6tJdqL99+LJoovotFwFYF2m4l5B1lVzjo1U4Rml/YA3cby17X9aa5a++S9jIau5Uy6DXkXLlZ7FHMejs43VMHxfjkWoinR3A5Ie0dewTI6z3bRbuvCzN7Rh7QLGTCeGbXK2LOh3f3JtRDOG0Jmxxh4yux7F3xozEMon06sz/1xUaKZzA84cVUSMD8BdqxLdBbXNf6SLZCmLaQVPYEF7wbO9+GzjZRRtnBOEmuAX/AtiZtr3mfp/aWdbuZW/1z5srKXOvwsqD14iariHaLyb5pQCgB235YcdWuCPOs8qsydmoAXx61EVp91rU72XxRfldt4wr6koniPVlCaYU+JwV9oI2XjzMre5K+lDmPsEQKQe8g/amY7ZwNu375O/+7I45Vwi2hTg1vzTtjZ33cEimskQFEqAuJrJ/gKMeyY4ahZKSA5fu0L6D+Y4EHts/oVpXu+hy9pm6sWp54Pj/QbX9GnfSMLLyXK5HQDFf0rJvkmDIVDkc3ldX5lJ1eNc1TjLdRU70z4C50yMhPRh6Nsy/xqs5mqYmhc6I5SmtUB/lq7U7r0PZ67+YSq9LpMEKfokZSUFwsJNejfHPhKs0iMy9ZXSsWtdzqePEEZe3Xxx6f6oVp58wU3Sik72dCz6RiweHt40VM2AOnRC1vX1Sxcbdicp/AawYXFvhfbgUvh19kEo23N3czdwRqPeCydHbD344h8yu+1cCwwSgOGsj6/ajVZxWrWZbx0Hw+nTTcV4OftSn2Q5yK0vP3sZu4epEeHnH0aCA5HZ9+UwhWr7sIS5nV9W7YA0SeNlnuXgRqMKCXZq/8fUq7SZwyXidy09QM2jK0pGZA/dli/47rYSW8fexqtdPxmgGUhpWNDqg6WeLAGmIJ2anYap7Xd941z7DCSghasjsz7hFcLMj/9pE7z3aHoDDjLNRwfCzCICGJiEvh8b1w4KeAhmh/3DeYFUY12HXmCSlJmsjvqg3xdzHhu8fNmiXvs1xTjc7JlS9pmj72b7PMXBu0WnkgfbIdmsCJznlO93Ij5exYQXFOno5zJNzG+FQlSM7L90vP8i97jk3IKHJw66XChDoxsRaWoOub9A+ehPDTBmC0zn36zpfTujzYZheSBBOLvhG7YbE6zHmnk/hnlZjO+7MzAuwXHuvdgF97t+dDSpSZF0v4Q9+C2YSv3eJAlSMNppzVKkO0i+XDw8Yyn8i6xGaaKq6ViTxjuT15v0U2bjkcjmwlBgx+VMRQISKCzaJfM8V2TQEohhMZxK87pwqko8ReYYWYCDAvn0pe6SuxE0h3knd2ZxR9nLjsM+hETwhlMLPslzzPnrPyjT+HwnaDECtCEWnoBAn8cPt5qVrqYl7qhsaE0bdQu7r+muTUyjVPrxZg13q3ponubR47/YBFazyyl/gMKrp6G2zTzx6xMtEOdlE4Uq5dsLQ+otZFWEHry35vxEfjSRSz5avykvnctM6dEI7izNMWOvTxO8eAxmqgZHBbxbKqOFRw229EtvVeH/u1de+wgnQq7QKsW6Kq16VRLz7Cuymi8N6Ux68s/uglFpG9D7k4R0a9Em4hm6JQrsSqgosDYmUqntOxR4SS7AAVpBBrTC99tu6ULlMu/mbE5hVPqESW3eI8yVKxhhiD7Yi2cx+KXXnEmLYeyHxvWt5L2IK3nR6gXYzhfbI9srYg9bIBTYRIcY6WMylEeGZ7c9pPdaMINFq+41TdlAQNSNFZvF+aXHVs8dODygS2HT/Orec3D6Dp4gMqexw835Hl0VGb9xe/0HUK5ZNNPfBRdWElUZc9npDM5dqjreEYM5a3aS7x40K2o8LGuPmQdjm4zLVFK1YkNOP3aFh3LkOWVV219VauLSGGRhyBpHZ46fgL8nNrExXIgL5LFvz+t+/r+5tRCxZ5Nc/GxcHqM5oMqxodJOJqPwOFiMUwzkANCyXq3pjhMPTs8uaevk3QBX/n/Nhr6WRHfIKyCTWhG5YiuKcOwUDKRlqogr2u3xbScj3UJC2gPkVThoKFLqR9+EaYex9BpOJciCagRyEn1m2Od15ETj8WdGgqqrdthueFbobwk/bFRYgREhdJfOqtCHVo8IQdmVp2W9nG22w3Bc8byT2EbxzoUBFWD9dVU5NVmI/JuRe794jGntvzZOIWcog3TlpI1Ac15XUCJZRXaj9vv9SA15ufX7GUCTSWFrJVCgsSdaHKOgvlW1tHF5eX51xfYRz3HAnrc3RgTiQagNZ3x6Vzh5HbjqWePrXn12DEDjdMdMggeXkXsLUfwfJOn9yinRmh8sQFGWUdNNT5vrg9TF+NF+sznZkKEEYDfsPZjZJHfpkFFHOt8fkY7EzcdnaNZ3R6SDXBXJ63oIV4AJwklZEabIvb609eLPYsvscx6TRMZpcEYFdd1dcMzDmhZeC70vqLjE6oXK7dlahLkLJnY6uHhoG+kmtRr2gWIpxvdKWXv4WO2ojtsq/l0RC0R6RzEo3lzM7uzdrW3SMNWX7kdfTfwmzxARYb27rbVRc4Dg97yTkZLr5s+X1DsrZGF+DvJSB0bcgRDRbdzKjECiJQvmTegvODphGkCgoXJiv7as8iJTm0HN/2xQHVbrP0LaiuO6Bc44jNBh/j0k+p1UV8fHkiEhtGJnD5d2LOjX74MN0Zr2Je0JzGL1+WjL7kiejLqqMIKzCispmzoFOfV7B3dZc/hOXwVHYa6+4h1wOQCpivW0rSkuPnvaoL8JgzUy6i6/zGO8o7PxnPf7XvzOdV8HDGnBfnFq62bfBHTG2Q306LCqRWnCEPK7aWVq2Nld6w8TujD2W0MW+Op/lYGnRCILKTVEuOf9z1OHV4g88LaaRce/1al/+TU7ipgYnsOENDDhadrbXmpK9REO1w5rrR+EnRS1lyzR4Lar78fZEx+RC9Rsk4SP4Vxws53axp9ArvH+Pxtvu6RCSfauVO0zEmNl0+RClKh+JclPwI3JdOvWylff6AQLlGWhQ52cLbYWwinjEw3/+4caltp27S0BOP4IpAz/T1q/zgT4iC5Gmt3pT+rwo0445FTWKXtoFZ88+TGrcN/MKrQSvs7w1CGibdrFfLEBfB6fS/uhEPNof1C9MKchZmddyq94NNXVYy59B1YztR2tdRODNlmF4+Bn/XianXBUVfLTf1VxIylb1CDgpTe2yVuvvC0/qOWlW88/uzgaYdfOB09Pdnbe3BQet4vFcwd5yputxNguzsErwUwx0Lmec4dffSiijHXQIr8vrLzZa91A+hcb+OQRmXelAsq/jpsOTaeZrH+EEY3Z5TPr7SibIEWGGVCN8EGeR+3BOAnvYiDnP8mED1VgA3VeXkLhoSeWI3nWcispUSroqERao0B9KdiwCv/7q7CmX3ZSs12XnMVQ8IW1qOqedLKF9mMXYJEjwVAMgAM0G1cp02PL6CgrusjqxwMXJjqVdUTd/jzyhfdHGoapkkZPNynJZuVNqXbcb/NOZlxI3JZNYvsgnNE6lDRnZEQz/zSGvRms9FNNj1VZxHyfcIm9CWTeYuCGN275ZIDHOSX+FzmuwheDfpWzUff2vr+WvQxxWvgowufbjLgzRSqW4rp7WBTE1NPMF8J2Nu+n7pa8MlSlCt2fYVZYfRtvL6N9WWNzUUzterlfr78lhQVfSJOecsDl7LjZ6vsN+9UFT81Y2bicRnst/LzFjsH2xGWoNAv5H7F7255xiG8BGJjIEr+UHoeDRZ0rMGxxSNLjNVc3r8NhoSQDEvrxQgLPOZMNItMxcyD8vPrVSQcvSgBcvnscs+8sOfIlEXdoqySJuV6o474bic1ag558C1JMH6dy3PUkdobckvl4OEN98vXCphVDhCzPCHUDvwPjzENvNy6b4lOF5AT6bkdJN3vfRzzckgk1lo1vMPCaXC7f5pdnO1ZyBXS/m2XJRny1aM4nkT77WoU9a7/Z+1WF8MrXhF9ZP2caiSItMm737HLf2+gxa1aRu604y99N5HFLk4nH7mOEoWkkcaISkOooux59rHFxqRfPuVTpG73vd+hfB+jJ/xA0dCcWLZK0XLME0LFdSCC5YPn06d8Fc/WuGFpzwTxrP8Gvw86SasZJhT2e0DunKtXxczNk/dmy07+iPB6uiVgLKy29/iqHLMxSgCMiU9fTu7rnRfuJAs1l5/OjjQGW3blfwZmCeZwEwcgKXk//E9XJZ+dtRYBTtTbTaRwHe075UDcuFm+aRolW/x1E1lPapnAnsz7/C6Cur+rA+GxFqxh8tur/IWDHe0nPC6Bo7bQx5g0OTF/vy4gd8mlc/zeldfOKZg2XKlSCH1XtH+12qXPZPnnPkp9ehBVzKf77jG6BmhE4L8F0a/DU1WhhVBuDv4bNcyvZdjlWzum0TSerrlUJsO12u2gTwbQwGkyUbeFPGNvk3th2/mkWt8yjpq9lVw7wsto/DjIHYR5KL7egwKuOMzOW6vyoITHMKqmlIJwnQOIAebm66vWwVJx7g/TH9vHuuNQtpmy2/Vo8vObtFYo1vLX4yUbCe7MnvSi1qidWYkh3W1g7rcN/UNcxmgN4auEWVItQz7L0t2ZHLjj7ycW/Ir3gsTjgu+PUe5WG0TpOUlCE9gmB7o8MWVGaKnw/0YEV+RU0xYz9uVrNd/lWkJl7UZz9kVMpL9wZLCh8OmjiF84JnD77Scq8AuRp969YhlxtJ8xM77tcQ16XyZG10xTIpricLwO360DOpVx4NZiwluLocRXcrZ7DOxZSYpr/cLYhBNx6yqGLzqk2nQcTKpT0pnftQDc1BpkAhjlWKWJNNHcDNcO0dNaA29esLmcFV+Ja5qlq1iic4nMeuUcHJ7D9ptRDOQj7RdRjvuvPaNRj/81cBEo3WpkLPvIcY9gUuFpebZxHm5insNFKtM8/gnoc67bwiyLmO4G255QPoPwqEprnSfN7/rkjgtTnE02i1zUjZ/M+PgmTxWRlOEV9NufBNuBxEqDo6HM/XLWjVRnBMXGdll8B5UbY7pdldY2qsTj/g55ycDUvIYEK+DI16IhU5UY6cxSNXoBO/DA501psTnYlFvolb3kuovW0ZLk3qSXhNT+Oz5BdzXOVCDu87gjgiTJkvrHzC1GLDYf8VY65joibgN9kxPFg8JlpAYtDJIFrwwiUHqUdKQK/TtJ+1kjv39PfySCSX/85jOhk7WKyK7gpB+E4ubOtvDY3cEY344hylEijdnRlKxiOa7nTX/oDsnlQIcjCbMJfaRI8zlhSNCjcP3qHnQevJlhk60tdcjTuUbVMg+e0Xk+jp6b1ThN8j5DqK191TidQzLyJYwOSdhIMW11OxzTOPIfoH3S1qrVcXTFdw1KOEmFl9cYeKt60Lvz6t+NHnGxFLG+ns/fgYVz7u44kbKslMaN0AdWrLp+g9KBdRK/R7H50/9PKjvRJgeJsrfVB4boX9E5bQ7Zkh3WWh11gozi52VglQLVQB9lnaGmtrb6E2QZkPiMkxX8UoqiUEdZLUhqj4a7Z/YsZerdOCJFRhUErBgQYnvuCD9QHF8v1dGb9Sthys8NzaKg1sN5yi9mdqE1SLMGLdvLLh0QMyX4oevxDkv9mcZDjNBtliB1+gPjF3uWrFti0J1pFO/7pEO9L4WHj9Cj8MKfurYY/IEijQ+4/PvL64J/KQadJMhpDTSYbvumLG/ERUTEVuGZOANKku+nC34gonbEGJ8Rje9RP7lKytab6nf+G6UUJL1AblRQw6n86pu0XBUvHlQ7QpnnnnzxAVxB5m5tBRl9aTZM1ns/Moc/zV540+7clMdhtys++rdju+W3URPJKGiqcJUdAtvEIzLGHM/338vg45w9lZOcrNf0/XV/Kie5YNqLto1aYn7PZdVGfckoL6tPkEi1VDIz1rpDGRafO0ibXTbhgJ+x3FUJIB949V4XE6nRLsqNdwSrlhV1ywW2FkVJU9T635dglr2pSlwu/OgpXQdzIAWf3O942rVKjJoEDlBk2zHcToNWtodaXITM+2bniL0WMdH80b3sCYW48BtW0iavW8lrNKwwiRuf5Chg6M0lDOsYgaOKNGwIh3mjM+n6PZlP5DC80ByS81+M/UVn1Vbw9WUEwvtOkuvt0rRXHPvFgM7bOtGks2rTryA5TOWiosjl4T2MXu/AEcolm5uoveyR8KMQ8lve+qKal8T6OCSvMl9/YMedeCS5gcaThdS9mAo+g7aKq6MObSjeEysj7iTDqOUcqBaWmXFUCmfxkoEncJjmopE5wtS9VVU3Rrw64L9NQ8y14uNVtv8DO6frchfgMyMTmOaLBlYGLGSF/MK+ZW2bDa7Q8WMnZ9nws1+LCl1r08IWgurHUyMNv2IavC4m30Jrs1LvhtVcebCQ+hGt0Ae4vLrDSVR57yvOdIpWeyRop1l/imKTG2dVUc2YUiUgca+rpNZodUfUIPIeT4z/CuNHvZdfivaXEUuREv/4vJj0YCv5hTxAaMjNklkESdj/vSlNl3BZcaFyG1ltFB9BzO9mUXEDbEJzwdfosgxWgvQG1mqPJiX+CfYNGLL2JxbreQljRGxL2TnIqW9VfRx4HVysP7es1ijsG8boEsy5vLX0Y23BFNH7XS3P80U9Ptr6G0iRLkWvfDTrauzGFPS7OMwiPBSBWNCPDlz5Xt6Ld4q4oe8ehX+NXzJY9+PCN+w/E6PtZvUrP7n4BKQlnmr7nhwZELKNGXhsEO4dsupcfsz1+mspdzyOdCNhOYg4NlTIiy4JtmmViyTx/qaTFeduDEFfGJRMJehI627x4q7xPvt2Rr08Vl3Ta5d1ZdKPaecqKiTn/YLFn6sXeEWsQiuWSqmkrRX4gpeYjC7scdVglezk/0HcE00xI8aorkinfcqQgqEK49l+s4cd8gQSucq/GteHszAOrCefjrjcsvnWfh7qyTOsOdkKOTJprJGrXPHiTc7nccItzHCGRWvWQeLZyrE6Cev8pOkz50TRPE+8ai34KcSBXSF6Zp4CqWg6YtYSr1HMrxY/fBQYyRAyvve+vUyAdOptLt8YUAaY7jrjhF4aFFCvpfX5w6/NYKz1h3XmNK2Y/W0VgBNq6h5nIYQhhEtiWWJlrY5JjvacnNmWHjIeldEq9bTJbwj4onZPoIXRsG/UcOOVfQZ0Msr5Y+BvS6BH7rSCL9D64EVaapmhVtd6OdjAwrGb1GZgE6fNbVrePgbin1sfstlGcTyBzrcXO/hEcLHv4VdJX09x+WrRAexe4zztbBKhmJf99Xml/spfog5bETuzF5+vqfjSb8+XsWlFYFl38lktmCIQCMivuI2wmQlv7sRo0T4ge4X/Sbr5HpCFEalpr0DxFoRI6SMfg6dI4Q/odjfkwGD15O4u7xVQjerxLuSdQ9TZ7EXUxlRcjTIcFOaCJx0vEWP41lrTH7mDRHMqPuVcAX9IBC77V+WeFwv3+qbCpwj6+HKNAApzXMcVDcDEiPqrY6EtCbTX7IX+qD4uoi11xlQK100EGthW+0ySHW1ZqBIyGTMgqj3v/LKSaUdhAYUN6vr0rcJWyHlW5cIB6cIS9DsvdUM2J2iq5NhDrJs83CusUwVdWJ0KJMt5GT2UnJNTFTZ/9KU8iFCFIM6XbsR/be9ZSduhCzO6dno9mPnoFEiN54u1j1PUX8JtcCes+cNfaQ7ZV2duvvHq03dBB5bb1LblKUCopxvcox9orzGI4bdBz5VXr1Imq/hiHzmHJN4Y0VsmH7B41Vzwc/1jixmVyc0XmUjvnyz/JtqWSr3tbExlDSVzpgPl6YRl0pvsv/XR+bn+z+tTtdGe2wMcAL0dZNzFY262Rxzn8eO+6fEIuOjr6k1fd2/vuKPntoSclxwWp0MpWAu+IoqQKjEi2Kh41qZs+aem7klegbVPPPn86hc+0z98Exj+yhcZRvg0x53qYqDwzHcwvEC9K0G9014YZbXkHxvkt6m7UBUDVqsKOQibrmZkDacqhgIe7EyMy3kNxdsbzh+350mi8dF8ZwZ2JO/lAC8YHbOfTe+dwOtL6Rx9r1Pcr1UHbvJ1iUNM4H0+3tif5V6xRaBgEatE7shVXi97A+JlQxjDvktRacu8vBM7QRbS60iie7EbTiLt6K6yZf1zq52uv+4LAl660KD+4YxrjrAMXWAQvM8EqGLauxa+EoAEbNsIjzzzAffAKMCcZSDBzQ800JIKj2hf7qmAS8t3kZb1sgHxv6oESf3OdUNFkufMRqycgu/TxlE7Fo6uw3i/DlVo86VZ7prbO+3QhJhDfKYiR483GF6XNS6/PE6W7Whi43pfar61htkE29JRu5wvOJKU3R5N31mKsehyE+cPuv5VNRkDQ1rPBzgdk2zK7ZDZDWslG2Xg4pPuqOEBxA1oUSNkwKjFnTEvuzZo86d3Pwm7xdOO90AmmzaVYVeldyV/rq8z7z/nxfO/x7wP+IASzswEAZ3sAfC3uH8F6jlXosNCmVuZHN0cmVhbQplbmRvYmoKeHJlZgowIDE4MgowMDAwMDAwMDAwIDY1NTM1IGYNCjAwMDAwMDAwMTUgMDAwMDAgbg0KMDAwMDAwMDM1NiAwMDAwMCBuDQowMDAwMDAzNzMyIDAwMDAwIG4NCjAwMDAwMDM3OTYgMDAwMDAgbg0KMDAwMDAwMDE0NiAwMDAwMCBuDQowMDAwMDAzODk3IDAwMDAwIG4NCjAwMDAwMDQwMDkgMDAwMDAgbg0KMDAwMDAwNDExNiAwMDAwMCBuDQowMDAwMDA0NTUwIDAwMDAwIG4NCjAwMDAwMDQ3ODQgMDAwMDAgbg0KMDAwMDAwNTAxOSAwMDAwMCBuDQowMDAwMDA1MjU0IDAwMDAwIG4NCjAwMDAwMDU0ODkgMDAwMDAgbg0KMDAwMDAwNTcyNCAwMDAwMCBuDQowMDAwMDA1OTU5IDAwMDAwIG4NCjAwMDAwMDYxOTQgMDAwMDAgbg0KMDAwMDAwNjQyOSAwMDAwMCBuDQowMDAwMDA2NjY0IDAwMDAwIG4NCjAwMDAwMDY4OTkgMDAwMDAgbg0KMDAwMDAwNzEzNCAwMDAwMCBuDQowMDAwMDA3NDA4IDAwMDAwIG4NCjAwMDAwMDc0NDggMDAwMDAgbg0KMDAwMDAwNzQ4OSAwMDAwMCBuDQowMDAwMDA3NTY4IDAwMDAwIG4NCjAwMDAwMTIzNTYgMDAwMDAgbg0KMDAwMDAxNDQwMCAwMDAwMCBuDQowMDAwMDE1MzUwIDAwMDAwIG4NCjAwMDAwMTU0OTkgMDAwMDAgbg0KMDAwMDAxNTY0MyAwMDAwMCBuDQowMDAwMDE1Nzk1IDAwMDAwIG4NCjAwMDAwMTYyMjggMDAwMDAgbg0KMDAwMDAxNjY1OSAwMDAwMCBuDQowMDAwMDE3MDY5IDAwMDAwIG4NCjAwMDAwMTc0NjAgMDAwMDAgbg0KMDAwMDAxNzgxMyAwMDAwMCBuDQowMDAwMDE4MTkwIDAwMDAwIG4NCjAwMDAwMTg1NjggMDAwMDAgbg0KMDAwMDAxODk1NyAwMDAwMCBuDQowMDAwMDE5MzM1IDAwMDAwIG4NCjAwMDAwMTk3MDYgMDAwMDAgbg0KMDAwMDAyMDA3OCAwMDAwMCBuDQowMDAwMDIwNDYzIDAwMDAwIG4NCjAwMDAwMjA4MzUgMDAwMDAgbg0KMDAwMDAyMTIwNyAwMDAwMCBuDQowMDAwMDI4NzMwIDAwMDAwIG4NCjAwMDAwMjg4NzEgMDAwMDAgbg0KMDAwMDAzMDQ2MiAwMDAwMCBuDQowMDAwMDUwNDc2IDAwMDAwIG4NCjAwMDAwNTA5NDggMDAwMDAgbg0KMDAwMDA1MTAwMyAwMDAwMCBuDQowMDAwMDUxMTQ0IDAwMDAwIG4NCjAwMDAwNTI5NzQgMDAwMDAgbg0KMDAwMDA3OTk3MyAwMDAwMCBuDQowMDAwMDgwNDQ1IDAwMDAwIG4NCjAwMDAwODA1ODYgMDAwMDAgbg0KMDAwMDA4MjM3NiAwMDAwMCBuDQowMDAwMTA4NjcwIDAwMDAwIG4NCjAwMDAxMDkxNDIgMDAwMDAgbg0KMDAwMDEwOTI4MyAwMDAwMCBuDQowMDAwMTEwOTA0IDAwMDAwIG4NCjAwMDAxMzMxODcgMDAwMDAgbg0KMDAwMDEzMzY1OSAwMDAwMCBuDQowMDAwMTMzODAwIDAwMDAwIG4NCjAwMDAxMzU1MTAgMDAwMDAgbg0KMDAwMDE1ODU4NSAwMDAwMCBuDQowMDAwMTU5MDU3IDAwMDAwIG4NCjAwMDAxNTkxOTggMDAwMDAgbg0KMDAwMDE2MDUyOSAwMDAwMCBuDQowMDAwMTc4NDkxIDAwMDAwIG4NCjAwMDAxNzg5NjMgMDAwMDAgbg0KMDAwMDE3OTEwNCAwMDAwMCBuDQowMDAwMTgwNjI0IDAwMDAwIG4NCjAwMDAxOTkxODYgMDAwMDAgbg0KMDAwMDE5OTY1OCAwMDAwMCBuDQowMDAwMTk5Nzk5IDAwMDAwIG4NCjAwMDAyMDEzNjIgMDAwMDAgbg0KMDAwMDIyMTg2MiAwMDAwMCBuDQowMDAwMjIyMzM0IDAwMDAwIG4NCjAwMDAyMjI0NzUgMDAwMDAgbg0KMDAwMDIyMzk0NiAwMDAwMCBuDQowMDAwMjQxMzU0IDAwMDAwIG4NCjAwMDAyNDE4MjYgMDAwMDAgbg0KMDAwMDI0MTk2NyAwMDAwMCBuDQowMDAwMjQzMzcxIDAwMDAwIG4NCjAwMDAyNTY2NTMgMDAwMDAgbg0KMDAwMDI1NzEyNSAwMDAwMCBuDQowMDAwMjU3MjY2IDAwMDAwIG4NCjAwMDAyNTg4MDMgMDAwMDAgbg0KMDAwMDI3ODExMCAwMDAwMCBuDQowMDAwMjc4NTgyIDAwMDAwIG4NCjAwMDAyNzg3MjMgMDAwMDAgbg0KMDAwMDI3ODk0OSAwMDAwMCBuDQowMDAwMjgwNTY1IDAwMDAwIG4NCjAwMDAyOTkzNzUgMDAwMDAgbg0KMDAwMDI5OTg0NyAwMDAwMCBuDQowMDAwMjk5ODgxIDAwMDAwIG4NCjAwMDAzMDAwMjcgMDAwMDAgbg0KMDAwMDMwMDk2MCAwMDAwMCBuDQowMDAwMzAxNzYxIDAwMDAwIG4NCjAwMDAzMDIxNTMgMDAwMDAgbg0KMDAwMDMwMjYzNiAwMDAwMCBuDQowMDAwMzAzMDAzIDAwMDAwIG4NCjAwMDAzMDM1NzEgMDAwMDAgbg0KMDAwMDMwMzk0MSAwMDAwMCBuDQowMDAwMzA0MzUzIDAwMDAwIG4NCjAwMDAzMDQ1MjIgMDAwMDAgbg0KMDAwMDMwNDU2OSAwMDAwMCBuDQowMDAwMzA1NTk5IDAwMDAwIG4NCjAwMDAzMDU3MTIgMDAwMDAgbg0KMDAwMDMwNTg1MyAwMDAwMCBuDQowMDAwMzA1OTgxIDAwMDAwIG4NCjAwMDAzMDYxOTYgMDAwMDAgbg0KMDAwMDMwNjQxMSAwMDAwMCBuDQowMDAwMzA2NjExIDAwMDAwIG4NCjAwMDAzMDY4MzkgMDAwMDAgbg0KMDAwMDMwNzA1MyAwMDAwMCBuDQowMDAwMzA3MzE5IDAwMDAwIG4NCjAwMDAzMDc1MTggMDAwMDAgbg0KMDAwMDMwNzY0NSAwMDAwMCBuDQowMDAwMzA3NzQ0IDAwMDAwIG4NCjAwMDAzMDc4MzMgMDAwMDAgbg0KMDAwMDMwODA3MiAwMDAwMCBuDQowMDAwMzA4MzE4IDAwMDAwIG4NCjAwMDAzMDg1NjQgMDAwMDAgbg0KMDAwMDMwOTQ2MSAwMDAwMCBuDQowMDAwMzA5OTcyIDAwMDAwIG4NCjAwMDAzMTA4NjYgMDAwMDAgbg0KMDAwMDMxMTc4OCAwMDAwMCBuDQowMDAwMzExOTY4IDAwMDAwIG4NCjAwMDAzMTI3MTkgMDAwMDAgbg0KMDAwMDMxMzYyMSAwMDAwMCBuDQowMDAwMzE0NDc3IDAwMDAwIG4NCjAwMDAzMTQ3MzUgMDAwMDAgbg0KMDAwMDMxNTIxNiAwMDAwMCBuDQowMDAwMzE1MzkzIDAwMDAwIG4NCjAwMDAzMTU4NzkgMDAwMDAgbg0KMDAwMDMxNjM1NSAwMDAwMCBuDQowMDAwMzE2NTQwIDAwMDAwIG4NCjAwMDAzMTY3MTUgMDAwMDAgbg0KMDAwMDMxNzAzMSAwMDAwMCBuDQowMDAwMzE3MjM3IDAwMDAwIG4NCjAwMDAzMTc0MTQgMDAwMDAgbg0KMDAwMDMyMzcxNCAwMDAwMCBuDQowMDAwMzMxOTUzIDAwMDAwIG4NCjAwMDAzMzY3MjQgMDAwMDAgbg0KMDAwMDM0MzIwNiAwMDAwMCBuDQowMDAwMzQzNDM4IDAwMDAwIG4NCjAwMDAzNDM2ODQgMDAwMDAgbg0KMDAwMDM0MzkyOSAwMDAwMCBuDQowMDAwMzQ0MTU4IDAwMDAwIG4NCjAwMDAzNDU1MDggMDAwMDAgbg0KMDAwMDM0NTU3NCAwMDAwMCBuDQowMDAwMzQ1ODE4IDAwMDAwIG4NCjAwMDAzNDYwNTQgMDAwMDAgbg0KMDAwMDM0NjI5NiAwMDAwMCBuDQowMDAwMzk0NjkzIDAwMDAwIG4NCjAwMDAzOTQ5MjkgMDAwMDAgbg0KMDAwMDM5NjI4MSAwMDAwMCBuDQowMDAwMzk2MzQyIDAwMDAwIG4NCjAwMDAzOTY1OTUgMDAwMDAgbg0KMDAwMDM5NjgzNSAwMDAwMCBuDQowMDAwMzk3MDcxIDAwMDAwIG4NCjAwMDAzOTczMDEgMDAwMDAgbg0KMDAwMDM5NzUzOCAwMDAwMCBuDQowMDAwMzk4ODcwIDAwMDAwIG4NCjAwMDAzOTkwMjIgMDAwMDAgbg0KMDAwMDQwMDM3NyAwMDAwMCBuDQowMDAwNDAwNDQxIDAwMDAwIG4NCjAwMDA0MDExNzYgMDAwMDAgbg0KMDAwMDQxNTAyMiAwMDAwMCBuDQowMDAwNDMxNTE1IDAwMDAwIG4NCjAwMDA0NDUxNTMgMDAwMDAgbg0KMDAwMDQ2NTU1MCAwMDAwMCBuDQowMDAwNDc0ODc4IDAwMDAwIG4NCjAwMDA0OTQ1OTYgMDAwMDAgbg0KMDAwMDUwNjY0OCAwMDAwMCBuDQowMDAwNTIyMDMwIDAwMDAwIG4NCjAwMDA1MzM0NDUgMDAwMDAgbg0KMDAwMDU0NDcxOCAwMDAwMCBuDQowMDAwNTUyMjg1IDAwMDAwIG4NCjAwMDA1NTk0NTEgMDAwMDAgbg0KdHJhaWxlcgo8PAovU2l6ZSAxODIKL1Jvb3QgMSAwIFIKL0luZm8gNSAwIFIKL0lEIFs8QzdBMEM0OTA2REEzMjIwODE0RkRERUIwMzhCRDBBQTg+IDxBODVCMjgyMzFGRkE0QjRCODJDMUI5RDFFN0FGRjNBMj5dCi9yZ2lkIChQQjoyMjE1NTA1MDZfQVM6OTk0NDcxMjgxOTkxNzBAMTQwMDcyMTQ1MTQwNSkKL2hhYmliaS12ZXJzaW9uICgxMC4xMzMuMCkKL2NvbXVuaXR5LXZlcnNpb24gKHYzMzIuMTQuMCkKL3dvcmtlci12ZXJzaW9uICgxMC4xMzIuMSkKL2RkICgxNTk0Mzc2NzY0MTY5KQo+PgpzdGFydHhyZWYKNTY3ODEzCiUlRU9GCg==

how are you

[[Risk Treatment Option]]

! Asset

Any data, knowledge, information that has value to PDM COP MAN or its stakeholders.
Any product just to store, process or transmit data, knowledge or information.
Any thing or process needed to support functioning of ICT products.

e.g. knowledge needed to use a particular system; an aircon needed to maintain temperature in a data center; a firewall used to protect network segments


Assets are of two kinds: 
primary assets and supporting assets. 

Primary Asset
Primary assets are assets like business processes and information; 

Supporting asset

supporting assets are assets on which primary assets rely on.

[[ISO/IEC 21838]]

[[Basic Formal Ontology (BFO)
| https://github.com/bfo-ontology/BFO/wiki]]

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Bookmarks' sort[title]>>
</div>

<<fold "!Bookmarks Visual Navigation" 

"""
<$tidgraph start="Bookmarks" layout="E" mode="tagging"/>

"""
>>
<br>

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'BPMN' sort[title]>>
</div>

# Added this change log tiddler

# Added GraphViz plugin

see [[Example Graphviz]]

# Added AsciiDoc plugin

see [[Example AsciiDoc]]

# enhancing UML example

see [[Example Plant UML]]

# added material theme

[[http://j.d.material.tiddlyspot.com/]]

# added simple map 

[[simple map]]

# Installed Mobile them

# Added paper reference related to emergency ontologies

# Added page for Paper Hacklerator 2020 [[Paper Hacklerator 2020]]
!! Added Aritecture diagram [[ontoRisk Architecture rev 0.pptx]]

# Added FI Ontology references

[[FI and Ontology references]]

# Added tiddler [[GRC in FI]]

# Added [[ISO 31000]]
# Added [[Risk assessment methods]]

# Installed Markdown plugin and imported 27001 in MD for testing

[[https://tiddlywiki.com/plugins/tiddlywiki/markdown/]]

[[ISO/IEC 27001 MD version]]

[[Bookmarks]]
[[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.70.3326&rep=rep1&type=pdf]]

```
use this code block mark up to include code
```

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Code' sort[title]>>
</div>

<<fold "Code Visual Navigation" 

"""
<$tidgraph start="Code" layout="E" mode="tagging"/>

"""
>>
<br>

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Collaboration' sort[title]>>
</div>

[img[SRMS Collaboration.jpg]]

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Comment Thorsten' sort[title]>>
</div>

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Contents' sort[title]>>
</div>

[[https://owlready2.readthedocs.io/en/latest/intro.html]]

! Problem

Import in protege yields

```
RDF/XML syntax

org.openrdf.rio.RDFParseException: Content is not allowed in prolog. [line 1, column 1]
```

```
<?xml version="1.0"?>


<!DOCTYPE rdf:RDF [
    <!ENTITY terms "http://purl.org/dc/terms/" >
    <!ENTITY owl "http://www.w3.org/2002/07/owl#" >
    <!ENTITY dc "http://purl.org/dc/elements/1.1/" >
    <!ENTITY xsd "http://www.w3.org/2001/XMLSchema#" >
    <!ENTITY skos "http://www.w3.org/2004/02/skos/core#" >
    <!ENTITY skos "http://www.w3.org/TR/skos-reference#" >
    <!ENTITY rdfs "http://www.w3.org/2000/01/rdf-schema#" >
    <!ENTITY rdf "http://www.w3.org/1999/02/22-rdf-syntax-ns#" >
]>


<rdf:RDF xmlns="http://www.w3.org/2002/07/owl#"
     xml:base="http://www.w3.org/2002/07/owl"
     xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
     xmlns:terms="http://purl.org/dc/terms/"
     xmlns:owl="http://www.w3.org/2002/07/owl#"
     xmlns:xsd="http://www.w3.org/2001/XMLSchema#"
     xmlns:skos="http://www.w3.org/TR/skos-reference#"
     xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#"
     xmlns:dc="http://purl.org/dc/elements/1.1/">
    <Ontology rdf:about="http://www.uni.lu/dataprotection">
        <dc:rights>This work is distributed under a Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/).</dc:rights>
    </Ontology>
    


    <!-- 
    ///////////////////////////////////////////////////////////////////////////////////////
    //
    // Annotation properties
    //
    ///////////////////////////////////////////////////////////////////////////////////////
     -->

    


    <!-- http://purl.org/dc/elements/1.1/rights -->

    <AnnotationProperty rdf:about="&dc;rights">
        <rdfs:label xml:lang="en">Rights</rdfs:label>
        <terms:issued rdf:datatype="&xsd;date">1999-07-02</terms:issued>
        <terms:modified rdf:datatype="&xsd;date">2008-01-14</terms:modified>
        <skos:note xml:lang="en">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</skos:note>
        <rdfs:comment xml:lang="en">Information about rights held in and over the resource.</rdfs:comment>
        <terms:description xml:lang="en">Typically, rights information includes a statement about various property rights associated with the resource, including intellectual property rights.</terms:description>
        <terms:hasVersion rdf:resource="http://dublincore.org/usage/terms/history/#rights-006"/>
        <rdfs:isDefinedBy rdf:resource="http://purl.org/dc/elements/1.1/"/>
    </AnnotationProperty>
    


    <!-- http://purl.org/dc/terms/description -->

    <AnnotationProperty rdf:about="&terms;description"/>
    


    <!-- http://purl.org/dc/terms/hasVersion -->

    <AnnotationProperty rdf:about="&terms;hasVersion"/>
    


    <!-- http://purl.org/dc/terms/issued -->

    <AnnotationProperty rdf:about="&terms;issued"/>
    


    <!-- http://purl.org/dc/terms/modified -->

    <AnnotationProperty rdf:about="&terms;modified"/>
    


    <!-- http://purl.org/dc/terms/publisher -->

    <AnnotationProperty rdf:about="&terms;publisher"/>
    


    <!-- http://purl.org/dc/terms/title -->

    <AnnotationProperty rdf:about="&terms;title"/>
    


    <!-- http://www.w3.org/2000/01/rdf-schema#comment -->

    <rdf:Description rdf:about="&rdfs;comment">
        <rdfs:label xml:lang="en">rdfs:comment</rdfs:label>
    </rdf:Description>
    


    <!-- http://www.w3.org/2000/01/rdf-schema#isDefinedBy -->

    <rdf:Description rdf:about="&rdfs;isDefinedBy">
        <rdfs:label xml:lang="en">rdfs:isDefinedBy</rdfs:label>
    </rdf:Description>
    


    <!-- http://www.w3.org/2000/01/rdf-schema#label -->

    <rdf:Description rdf:about="&rdfs;label">
        <rdfs:label xml:lang="en">rdfs:label</rdfs:label>
    </rdf:Description>
    


    <!-- http://www.w3.org/2000/01/rdf-schema#seeAlso -->

    <rdf:Description rdf:about="&rdfs;seeAlso">
        <rdfs:label xml:lang="en">rdfs:seeAlso</rdfs:label>
    </rdf:Description>
    


    <!-- http://www.w3.org/2004/02/skos/core#broadMatch -->

    <AnnotationProperty rdf:about="&skos;broadMatch"/>
    


    <!-- http://www.w3.org/2004/02/skos/core#broaderTransitive -->

    <AnnotationProperty rdf:about="&skos;broaderTransitive"/>
    


    <!-- http://www.w3.org/2004/02/skos/core#closeMatch -->

    <AnnotationProperty rdf:about="&skos;closeMatch"/>
    


    <!-- http://www.w3.org/2004/02/skos/core#exactMatch -->

    <AnnotationProperty rdf:about="&skos;exactMatch">
        <rdfs:subPropertyOf rdf:resource="&rdfs;comment"/>
    </AnnotationProperty>
    


    <!-- http://www.w3.org/2004/02/skos/core#note -->

    <AnnotationProperty rdf:about="&skos;note"/>
    


    <!-- http://www.w3.org/TR/skos-reference#broadMatch -->

    <AnnotationProperty rdf:about="&skos;broadMatch"/>
    


    <!-- http://www.w3.org/TR/skos-reference#closeMatch -->

    <AnnotationProperty rdf:about="&skos;closeMatch"/>
    


    <!-- http://www.w3.org/TR/skos-reference#note -->

    <AnnotationProperty rdf:about="&skos;note"/>
    


    <!-- 
    ///////////////////////////////////////////////////////////////////////////////////////
    //
    // Datatypes
    //
    ///////////////////////////////////////////////////////////////////////////////////////
     -->

    


    <!-- http://www.w3.org/1999/02/22-rdf-syntax-ns#PlainLiteral -->

    <rdf:Description rdf:about="&rdf;PlainLiteral">
        <rdfs:label xml:lang="en">rdf:PlainLiteral</rdfs:label>
    </rdf:Description>
    


    <!-- http://www.w3.org/2001/XMLSchema#date -->

    <rdfs:Datatype rdf:about="&xsd;date"/>
    


    <!-- http://www.w3.org/2001/XMLSchema#string -->

    <rdf:Description rdf:about="&xsd;string">
        <rdfs:label xml:lang="en">xsd:string</rdfs:label>
    </rdf:Description>
    


    <!-- 
    ///////////////////////////////////////////////////////////////////////////////////////
    //
    // Object Properties
    //
    ///////////////////////////////////////////////////////////////////////////////////////
     -->

    


    <!-- http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_4bf9eaca_1040_4861_8e69_2eb6cfe40e83 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_4bf9eaca_1040_4861_8e69_2eb6cfe40e83">
        <rdfs:label xml:lang="en">supervises</rdfs:label>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_413e4c1b_7d3b_4fc1_98c0_b782b533aae8"/>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_dd11ad3d_8e96_4fd6_9646_b1fa4799b296"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_95cdd11f_2c25_48df_9f74_ca2878b7eac4 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_95cdd11f_2c25_48df_9f74_ca2878b7eac4">
        <rdfs:label xml:lang="en">performProcessing</rdfs:label>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_3c5113eb_0923_4946_86cf_f5a83de7f9bb"/>
        <inverseOf rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_5d457280_4325_44df_8083_ad7b53c0dfca"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_9679a244_6762_4da7_9aaa_c89f96e6f22c -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_9679a244_6762_4da7_9aaa_c89f96e6f22c">
        <rdfs:label xml:lang="en">exerciseRight</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClassImpl_58cf8e1b_e912_4f83_bdbe_0214e093bd4c"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_8fd1b241_6e73_4771_9cf7_4a995dd8311b"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_9d75d818_a66f_4e92_8400_6990cb686671 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_9d75d818_a66f_4e92_8400_6990cb686671">
        <rdfs:label xml:lang="en">implements</rdfs:label>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_077c98dc_e4f1_4fa4_82f1_4d5d6bac1a11 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_077c98dc_e4f1_4fa4_82f1_4d5d6bac1a11">
        <rdfs:label xml:lang="en">requiredByPublicInterest</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f0877852_cd4f_4338_bd33_7a11b7f3677d"/>
        <rdfs:subPropertyOf rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_1001ed7a_4f36_4975_8879_de174ef82e70 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_1001ed7a_4f36_4975_8879_de174ef82e70">
        <rdf:type rdf:resource="&owl;InverseFunctionalProperty"/>
        <rdfs:label xml:lang="en">mustProvide</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_413e4c1b_7d3b_4fc1_98c0_b782b533aae8"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_4a286d0b_f129_4976_be2b_9c7ab71beb24"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_16ef80bb_336f_4678_b647_aa3ce5c02e49 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_16ef80bb_336f_4678_b647_aa3ce5c02e49">
        <rdfs:label xml:lang="en">appoints</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_413e4c1b_7d3b_4fc1_98c0_b782b533aae8"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_b3ce5053_8b0c_41d5_81ba_36f3ccbd5642"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_1c8dcaa8_9f93_4cbb_9523_b4884a29a9b8 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_1c8dcaa8_9f93_4cbb_9523_b4884a29a9b8">
        <rdf:type rdf:resource="&owl;FunctionalProperty"/>
        <rdfs:label xml:lang="en">processingAppliesTo</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_ed8bdd2f_f171_49c2_9386_576fe410d791"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_217a5aab_f37f_4e80_868a_6d8b6f059fa4 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_217a5aab_f37f_4e80_868a_6d8b6f059fa4">
        <rdf:type rdf:resource="&owl;InverseFunctionalProperty"/>
        <rdfs:label xml:lang="en">hasPersonalData</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_ed8bdd2f_f171_49c2_9386_576fe410d791"/>
        <inverseOf rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_e9b85247_b390_4b60_9d03_627a9bcc0a7f"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_26abc84c_8c4c_458c_8605_2ffbd1590d0d -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_26abc84c_8c4c_458c_8605_2ffbd1590d0d">
        <rdfs:label xml:lang="en">requiredByVitalInterest</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_0b2f9b8c_8e60_4b1a_9471_9ce55bf73ae4"/>
        <rdfs:subPropertyOf rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_2a714588_010a_4833_ae08_09b32aa6295c -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_2a714588_010a_4833_ae08_09b32aa6295c">
        <rdf:type rdf:resource="&owl;InverseFunctionalProperty"/>
        <rdfs:label xml:lang="en">objectTo</rdfs:label>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_332f288f_09e9_4743_bac9_6b65ac57f10e -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_332f288f_09e9_4743_bac9_6b65ac57f10e">
        <rdf:type rdf:resource="&owl;FunctionalProperty"/>
        <rdfs:label xml:lang="en">accessData</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_573ba052_e830_419f_9c33_bee5251b8043"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_ed8bdd2f_f171_49c2_9386_576fe410d791"/>
        <rdfs:subPropertyOf rdf:resource="&owl;topObjectProperty"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_33c92211_3b91_4b7c_8cfd_9165c3d7629c -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_33c92211_3b91_4b7c_8cfd_9165c3d7629c">
        <rdf:type rdf:resource="&owl;InverseFunctionalProperty"/>
        <rdfs:label xml:lang="en">issueFine</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_dd11ad3d_8e96_4fd6_9646_b1fa4799b296"/>
        <rdfs:range>
            <Class>
                <unionOf rdf:parseType="Collection">
                    <Class>
                        <intersectionOf rdf:parseType="Collection">
                            <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLClass_eba91113_47e1_4806_8b83_bd8ba94c2002"/>
                            <Class>
                                <complementOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_336f5c83_c4cc_4889_8cbc_2c07562155a2"/>
                            </Class>
                        </intersectionOf>
                    </Class>
                    <Class>
                        <complementOf>
                            <Restriction>
                                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52"/>
                                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_59851879_88be_4cf3_bd27_3b185fc2046a"/>
                            </Restriction>
                        </complementOf>
                    </Class>
                </unionOf>
            </Class>
        </rdfs:range>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_4233322f_cb80_4ee7_bed2_213d920c59c3 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_4233322f_cb80_4ee7_bed2_213d920c59c3">
        <rdf:type rdf:resource="&owl;FunctionalProperty"/>
        <rdfs:label xml:lang="en">isObjected</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_7bb468f6_ab61_4585_a9cb_522371c20b9d"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_43a932bd_d72f_4cd9_8aef_a2b60603224f -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_43a932bd_d72f_4cd9_8aef_a2b60603224f">
        <rdfs:label xml:lang="en">hasParties</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_2023c585_fdec_4229_8951_24f6d4639634"/>
        <rdfs:range>
            <Class>
                <unionOf rdf:parseType="Collection">
                    <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLClass_413e4c1b_7d3b_4fc1_98c0_b782b533aae8"/>
                    <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315"/>
                </unionOf>
            </Class>
        </rdfs:range>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_4ae39feb_b852_4059_b66a_758628b01402 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_4ae39feb_b852_4059_b66a_758628b01402">
        <rdfs:label xml:lang="en">transferContent</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_eba91113_47e1_4806_8b83_bd8ba94c2002"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_ed8bdd2f_f171_49c2_9386_576fe410d791"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_50f8f0ef_9504_4ceb_b566_8fcb583ab045 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_50f8f0ef_9504_4ceb_b566_8fcb583ab045">
        <rdfs:label xml:lang="en">requiredByObligation</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_e7e707fc_dc05_4f59_973d_771a0e393117"/>
        <rdfs:subPropertyOf rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52">
        <rdf:type rdf:resource="&owl;InverseFunctionalProperty"/>
        <rdfs:label xml:lang="en">processingHasRequirement</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_c750844c_48fa_4fbd_8619_b8b9b1e967db"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_5d457280_4325_44df_8083_ad7b53c0dfca -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_5d457280_4325_44df_8083_ad7b53c0dfca">
        <rdf:type rdf:resource="&owl;FunctionalProperty"/>
        <rdf:type rdf:resource="&owl;InverseFunctionalProperty"/>
        <rdfs:label xml:lang="en">processingPerformedBy</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_3c5113eb_0923_4946_86cf_f5a83de7f9bb"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_6076aa11_7396_4b3b_815b_b83cab7df069 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_6076aa11_7396_4b3b_815b_b83cab7df069">
        <rdf:type rdf:resource="&owl;InverseFunctionalProperty"/>
        <rdfs:label xml:lang="en">hasObligation</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_413e4c1b_7d3b_4fc1_98c0_b782b533aae8"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_e7e707fc_dc05_4f59_973d_771a0e393117"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_6eaca250_d77d_4df4_b978_8dcbb84e6a50 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_6eaca250_d77d_4df4_b978_8dcbb84e6a50">
        <rdfs:label xml:lang="en">requiredByLegitimateInterest</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_a42fde83_5051_4cc3_b86c_b1981b6b6500"/>
        <rdfs:subPropertyOf rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52"/>
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    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_72c09d42_4524_4808_95c4_0c9f280e3f98 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_72c09d42_4524_4808_95c4_0c9f280e3f98">
        <rdf:type rdf:resource="&owl;FunctionalProperty"/>
        <rdfs:label xml:lang="en">usesProcessingMode</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_847950cb_b447_4f15_bb85_ed45f878d760"/>
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    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_7ac248aa_2d24_4e6a_912a_6f9519c698c1 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_7ac248aa_2d24_4e6a_912a_6f9519c698c1">
        <rdfs:label xml:lang="en">hasParent</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_801beed0_2387_4a31_a5f1_6636c3558cb7"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_91a1bac2_859c_446e_86c7_0f32f12470ac"/>
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    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_86442676_0100_49b3_991c_504d7c89a49a -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_86442676_0100_49b3_991c_504d7c89a49a">
        <rdf:type rdf:resource="&owl;FunctionalProperty"/>
        <rdfs:label xml:lang="en">specialConsentAppliesTo</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_a2ccd29b_a341_4659_919a_977a6a81d4d1"/>
        <rdfs:subPropertyOf rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_bcd48dd9_79f1_4a6c_98ba_fdd5748312dc"/>
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            <Class>
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                        <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5"/>
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    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_86608510_836e_4b41_a785_adb447d6ddd0 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_86608510_836e_4b41_a785_adb447d6ddd0">
        <rdfs:label xml:lang="en">cooperateWith</rdfs:label>
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        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_413e4c1b_7d3b_4fc1_98c0_b782b533aae8"/>
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    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_8c1f0a3c_b12c_4025_9307_7de3b0086671 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_8c1f0a3c_b12c_4025_9307_7de3b0086671">
        <rdfs:label xml:lang="en">dataWasBreached</rdfs:label>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_c544c98a_ea80_4638_94c2_47fe7985c5b9"/>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_ed8bdd2f_f171_49c2_9386_576fe410d791"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_963fc55c_8a6d_48eb_a7b5_0d111603003a -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_963fc55c_8a6d_48eb_a7b5_0d111603003a">
        <rdfs:label xml:lang="en">hasRecipient</rdfs:label>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_bf972a40_26a4_451a_b104_ea993da94716"/>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_eba91113_47e1_4806_8b83_bd8ba94c2002"/>
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    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_9886111f_f601_4189_81bd_41bc65f13d4c -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_9886111f_f601_4189_81bd_41bc65f13d4c">
        <rdf:type rdf:resource="&owl;InverseFunctionalProperty"/>
        <rdfs:label xml:lang="en">hasVitalInterest</rdfs:label>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_0b2f9b8c_8e60_4b1a_9471_9ce55bf73ae4"/>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_a13cf5b7_2210_434a_9dd1_fc46e2f85f5c -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_a13cf5b7_2210_434a_9dd1_fc46e2f85f5c">
        <rdf:type rdf:resource="&owl;InverseFunctionalProperty"/>
        <rdfs:label xml:lang="en">hasGrantedConsent</rdfs:label>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_a2ccd29b_a341_4659_919a_977a6a81d4d1"/>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315"/>
        <inverseOf rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_d6b379ea_fc70_4e52_8990_4b2579886200"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_b4a56142_242b_44f5_80de_209a573b750e -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_b4a56142_242b_44f5_80de_209a573b750e">
        <rdf:type rdf:resource="&owl;InverseFunctionalProperty"/>
        <rdfs:label xml:lang="en">hasLegitimateInterest</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_413e4c1b_7d3b_4fc1_98c0_b782b533aae8"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_a42fde83_5051_4cc3_b86c_b1981b6b6500"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_b8c0f954_156f_427f_80e3_0cd915a259e3 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_b8c0f954_156f_427f_80e3_0cd915a259e3">
        <rdf:type rdf:resource="&owl;FunctionalProperty"/>
        <rdfs:label xml:lang="en">processOnBehalfOf</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_3c5113eb_0923_4946_86cf_f5a83de7f9bb"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_413e4c1b_7d3b_4fc1_98c0_b782b533aae8"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_bcd48dd9_79f1_4a6c_98ba_fdd5748312dc -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_bcd48dd9_79f1_4a6c_98ba_fdd5748312dc">
        <rdf:type rdf:resource="&owl;FunctionalProperty"/>
        <rdfs:label xml:lang="en">consentAppliesTo</rdfs:label>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_a2ccd29b_a341_4659_919a_977a6a81d4d1"/>
        <rdfs:subPropertyOf rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_d279ae3c_1c63_4a0c_8f33_f6f347fb911a"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_c2d389de_7681_40df_b3e8_00982e1ae1f2 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_c2d389de_7681_40df_b3e8_00982e1ae1f2">
        <rdfs:label xml:lang="en">processingGrantsRight</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_8fd1b241_6e73_4771_9cf7_4a995dd8311b"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_c898c3d2_b288_427c_a535_32052cc6978e -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_c898c3d2_b288_427c_a535_32052cc6978e">
        <rdf:type rdf:resource="&owl;InverseFunctionalProperty"/>
        <rdfs:label xml:lang="en">notifyBreach</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_413e4c1b_7d3b_4fc1_98c0_b782b533aae8"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_c544c98a_ea80_4638_94c2_47fe7985c5b9"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_cb6a55ce_5777_4d29_b15d_6be3845259a3 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_cb6a55ce_5777_4d29_b15d_6be3845259a3">
        <rdfs:label xml:lang="en">requiredForContract</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_2023c585_fdec_4229_8951_24f6d4639634"/>
        <rdfs:subPropertyOf rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_d279ae3c_1c63_4a0c_8f33_f6f347fb911a -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_d279ae3c_1c63_4a0c_8f33_f6f347fb911a">
        <rdf:type rdf:resource="&owl;FunctionalProperty"/>
        <rdfs:label xml:lang="en">requirementAppliesTo</rdfs:label>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_c750844c_48fa_4fbd_8619_b8b9b1e967db"/>
        <inverseOf rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_d6b379ea_fc70_4e52_8990_4b2579886200 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_d6b379ea_fc70_4e52_8990_4b2579886200">
        <rdf:type rdf:resource="&owl;FunctionalProperty"/>
        <rdfs:label xml:lang="en">consentGrantedBy</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_a2ccd29b_a341_4659_919a_977a6a81d4d1"/>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_e4459726_050d_4ba9_a9e7_56bff2354021 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_e4459726_050d_4ba9_a9e7_56bff2354021">
        <rdfs:label xml:lang="en">breachNotifiedTo</rdfs:label>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315"/>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_c544c98a_ea80_4638_94c2_47fe7985c5b9"/>
        <rdfs:subPropertyOf rdf:resource="&owl;topObjectProperty"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_e9b85247_b390_4b60_9d03_627a9bcc0a7f -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_e9b85247_b390_4b60_9d03_627a9bcc0a7f">
        <rdf:type rdf:resource="&owl;FunctionalProperty"/>
        <rdfs:label xml:lang="en">pertainsTo</rdfs:label>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315"/>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_ed8bdd2f_f171_49c2_9386_576fe410d791"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_ede6ce89_417f_48c1_a76e_4df8ff1ad55a -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_ede6ce89_417f_48c1_a76e_4df8ff1ad55a">
        <rdfs:label xml:lang="en">transferHasRequirement</rdfs:label>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_06a52543_55ee_4037_8370_dd56a165fe70"/>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_eba91113_47e1_4806_8b83_bd8ba94c2002"/>
    </ObjectProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLObjectProperty_f90cb5d0_29a1_41ef_a947_aa86cb69cc14 -->

    <ObjectProperty rdf:about="http://www.uni.lu/dataprotection#OWLObjectProperty_f90cb5d0_29a1_41ef_a947_aa86cb69cc14">
        <rdf:type rdf:resource="&owl;InverseFunctionalProperty"/>
        <rdfs:label xml:lang="en">performAccess</rdfs:label>
        <rdfs:range rdf:resource="http://www.uni.lu/dataprotection#OWLClass_12f8d2e4_932c_44b2_a152_7fb6fe4d7e7c"/>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315"/>
    </ObjectProperty>
    


    <!-- http://www.w3.org/2002/07/owl#topObjectProperty -->

    <rdf:Description rdf:about="&owl;topObjectProperty">
        <rdfs:label xml:lang="en">owl:topObjectProperty</rdfs:label>
    </rdf:Description>
    


    <!-- 
    ///////////////////////////////////////////////////////////////////////////////////////
    //
    // Data properties
    //
    ///////////////////////////////////////////////////////////////////////////////////////
     -->

    


    <!-- http://www.uni.lu/dataprotection#OWLDataProperty_4644d2f7_3262_4cc1_84ff_06605a549316 -->

    <DatatypeProperty rdf:about="http://www.uni.lu/dataprotection#OWLDataProperty_4644d2f7_3262_4cc1_84ff_06605a549316">
        <rdfs:label xml:lang="en">dataName</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_ed8bdd2f_f171_49c2_9386_576fe410d791"/>
        <rdfs:range rdf:resource="&xsd;string"/>
    </DatatypeProperty>
    


    <!-- http://www.uni.lu/dataprotection#OWLDataProperty_6fb5e412_2c48_4308_94b9_2b02c71b8004 -->

    <DatatypeProperty rdf:about="http://www.uni.lu/dataprotection#OWLDataProperty_6fb5e412_2c48_4308_94b9_2b02c71b8004">
        <rdfs:label xml:lang="en">dataSubjectId</rdfs:label>
        <rdfs:domain rdf:resource="http://www.uni.lu/dataprotection#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315"/>
        <rdfs:range rdf:resource="&xsd;string"/>
        <rdfs:subPropertyOf rdf:resource="&owl;topDataProperty"/>
    </DatatypeProperty>
    


    <!-- http://www.w3.org/2002/07/owl#topDataProperty -->

    <rdf:Description rdf:about="&owl;topDataProperty">
        <rdfs:label xml:lang="en">owl:topDataProperty</rdfs:label>
    </rdf:Description>
    


    <!-- 
    ///////////////////////////////////////////////////////////////////////////////////////
    //
    // Classes
    //
    ///////////////////////////////////////////////////////////////////////////////////////
     -->

    


    <!-- http://www.uni.lu/dataprotection#OWLClassImpl_58cf8e1b_e912_4f83_bdbe_0214e093bd4c -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClassImpl_58cf8e1b_e912_4f83_bdbe_0214e093bd4c">
        <rdfs:label xml:lang="en">Action</rdfs:label>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_02b07422_386e_4a70_8c4a_c2534b513fb5 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_02b07422_386e_4a70_8c4a_c2534b513fb5">
        <rdfs:label xml:lang="en">ContractualProcessing</rdfs:label>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_cb6a55ce_5777_4d29_b15d_6be3845259a3"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_2023c585_fdec_4229_8951_24f6d4639634"/>
            </Restriction>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f91e368a_9e61_4616_85d2_d24ff9c08ab2"/>
        <rdfs:comment xml:lang="en">Article 6.1(b)

Processing that is necessary for the performance of a contract to which the data
subject is party or in order to take steps at the request of the data subject prior
to entering into a contract.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_059044e8_58f0_4cd8_8014_8c5babe12c7d -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_059044e8_58f0_4cd8_8014_8c5babe12c7d">
        <rdfs:label xml:lang="en">Profiling</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f9140510_7d3e_441d_a8cf_a67da4fb19c4"/>
        <rdfs:comment xml:lang="en">Article 20.1

Automated processing intended to evaluate certain personal aspects relating to this natural person or to analyse or predict in particular the natural person&apos;s performance at work, economic situation, location, health, personal preferences, reliability or behaviour.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_06a52543_55ee_4037_8370_dd56a165fe70 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_06a52543_55ee_4037_8370_dd56a165fe70">
        <rdfs:label xml:lang="en">TransferRule</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_af4ae221_0c41_4b82_8ff9_7561e9d9c6cd"/>
        <rdfs:comment xml:lang="en">Rule that applies only to the transfer of personal data.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b">
        <rdfs:label xml:lang="en">DataProcessing</rdfs:label>
        <disjointWith rdf:resource="http://www.uni.lu/dataprotection#OWLClass_99a373a5_bae0_4769_a675_7bf1a8467f00"/>
        <disjointWith rdf:resource="http://www.uni.lu/dataprotection#OWLClass_ed8bdd2f_f171_49c2_9386_576fe410d791"/>
        <rdfs:comment xml:lang="en">Article 4(3)

Any operation or set of operations which is performed upon personal data or sets of personal data, whether or not by automated means, such as collection, recording, organization, structuring, storage, adaptation or alteration, retrieval, consultation, use, disclosure by transmission, dissemination or otherwise making available, alignment or combination, erasure or destruction.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_0b2f9b8c_8e60_4b1a_9471_9ce55bf73ae4 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_0b2f9b8c_8e60_4b1a_9471_9ce55bf73ae4">
        <rdfs:label xml:lang="en">VitalInterest</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f993be7a_344f_4fee_9a35_75f1e3b367c5"/>
        <rdfs:comment xml:lang="en">Interest concerning the life or health of a subject.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_12ed2171_63ca_4d47_afcd_b6721ac351a9 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_12ed2171_63ca_4d47_afcd_b6721ac351a9">
        <rdfs:label xml:lang="en">NonEURecipient</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_bf972a40_26a4_451a_b104_ea993da94716"/>
        <disjointWith rdf:resource="http://www.uni.lu/dataprotection#OWLClass_624c0561_eda6_4035_9f2a_47d4b8de3ee9"/>
        <rdfs:comment xml:lang="en">A recipient not located within the European Union and not subject to the Regulation.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_12f8d2e4_932c_44b2_a152_7fb6fe4d7e7c -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_12f8d2e4_932c_44b2_a152_7fb6fe4d7e7c">
        <rdfs:label xml:lang="en">Access</rdfs:label>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_9679a244_6762_4da7_9aaa_c89f96e6f22c"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_573ba052_e830_419f_9c33_bee5251b8043"/>
            </Restriction>
        </equivalentClass>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_332f288f_09e9_4743_bac9_6b65ac57f10e"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_ed8bdd2f_f171_49c2_9386_576fe410d791"/>
            </Restriction>
        </equivalentClass>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_9d75d818_a66f_4e92_8400_6990cb686671"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_83eaae05_ab01_4df1_b8ed_a203cfec5a08"/>
            </Restriction>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClassImpl_58cf8e1b_e912_4f83_bdbe_0214e093bd4c"/>
        <rdfs:comment xml:lang="en">Article 15.2

The request to obtain from the controller communication of the personal data undergoing processing. Where the data subject makes the request in electronic form, the information shall be provided in electronic form, unless otherwise requested by the data subject.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_15f536e2_2946_4aca_b996_2615e37e729a -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_15f536e2_2946_4aca_b996_2615e37e729a">
        <rdfs:label xml:lang="en">Trust</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_eccd3a99_0368_4293_a3d1_e344dc5bd0a1"/>
        <rdfs:comment xml:lang="en">DPH s. 3.4.2

Controllers should document, to data subjects and to the general public, that they will process data in a lawful and transparent manner. Processing operations must not be performed in secret and should not have unforeseeable negative effects. Controllers should ensure that customers, clients or citizens are informed about the use of their data. Further, controllers, so far as possible, must act in a way which promptly complies with the wishes of the data subject, especially where his or her consent forms the legal basis for the data processing.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_1d2f3df4_e138_45ec_8434_0705d94b1c18 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_1d2f3df4_e138_45ec_8434_0705d94b1c18">
        <rdfs:label xml:lang="en">Erasure</rdfs:label>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_9679a244_6762_4da7_9aaa_c89f96e6f22c"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_931c3eee_c583_4adb_9af9_e0891ea43f2b"/>
            </Restriction>
        </equivalentClass>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_9d75d818_a66f_4e92_8400_6990cb686671"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_48029399_9b67_4460_9eec_db9c7f55752c"/>
            </Restriction>
        </equivalentClass>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_9d75d818_a66f_4e92_8400_6990cb686671"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_b841fd2e_162d_4f1a_8c2c_05dc948e63a0"/>
            </Restriction>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClassImpl_58cf8e1b_e912_4f83_bdbe_0214e093bd4c"/>
        <rdfs:comment xml:lang="en">The request to obtain from the controller the erasure of personal data relating to them and the abstention from further dissemination of such data.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_1dcad2a0_486a_4f14_8b0e_1b9e521f738e -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_1dcad2a0_486a_4f14_8b0e_1b9e521f738e">
        <rdfs:label xml:lang="en">VitalProcessing</rdfs:label>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_26abc84c_8c4c_458c_8605_2ffbd1590d0d"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_0b2f9b8c_8e60_4b1a_9471_9ce55bf73ae4"/>
            </Restriction>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f91e368a_9e61_4616_85d2_d24ff9c08ab2"/>
        <rdfs:comment xml:lang="en">Article 6.1(d)

Processing that is necessary in order to protect the vital interests of the data subject.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_2023c585_fdec_4229_8951_24f6d4639634 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_2023c585_fdec_4229_8951_24f6d4639634">
        <rdfs:label xml:lang="en">Contract</rdfs:label>
        <equivalentClass>
            <Class>
                <intersectionOf rdf:parseType="Collection">
                    <Restriction>
                        <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_43a932bd_d72f_4cd9_8aef_a2b60603224f"/>
                        <onClass rdf:resource="http://www.uni.lu/dataprotection#OWLClass_413e4c1b_7d3b_4fc1_98c0_b782b533aae8"/>
                        <qualifiedCardinality rdf:datatype="&xsd;nonNegativeInteger">1</qualifiedCardinality>
                    </Restriction>
                    <Restriction>
                        <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_43a932bd_d72f_4cd9_8aef_a2b60603224f"/>
                        <onClass rdf:resource="http://www.uni.lu/dataprotection#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315"/>
                        <qualifiedCardinality rdf:datatype="&xsd;nonNegativeInteger">1</qualifiedCardinality>
                    </Restriction>
                </intersectionOf>
            </Class>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f993be7a_344f_4fee_9a35_75f1e3b367c5"/>
        <rdfs:comment xml:lang="en">Binding instrument to establish a legal relationship between two or more parties.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_21b029c0_43d8_4ee4_aa3f_c8b91b33974f -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_21b029c0_43d8_4ee4_aa3f_c8b91b33974f">
        <rdfs:label xml:lang="en">Relevancy</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_38c37e49_92a4_4bbc_9780_9eed89158298"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_b841fd2e_162d_4f1a_8c2c_05dc948e63a0"/>
        <rdfs:comment xml:lang="en">DPH s. 3.3.1

Only such data shall be processed as are &quot;adequate, relevant and not excessive in relation to the purpose for which they are collected and/or further processed&quot;. The categories of data chosen for processing must be necessary in order to achieve the declared overall aim of the processing operations, and a controller should strictly limit collection of data to such information as is directly relevant for the specific purpose pursued by the processing.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_25b9b478_c602_4073_a790_6374ba384b42 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_25b9b478_c602_4073_a790_6374ba384b42">
        <rdfs:label xml:lang="en">ProcessingScope</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_b491c951_2363_4eab_a32f_0fc922d48adc"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_ba7850fa_6664_4b14_91d4_b8307ae8481d"/>
        <rdfs:comment xml:lang="en">The actual reason for which the processing is performed. The processing is lawful if one of the lawfulness conditions apply. The lawfulness conditions have a twofold meaning:
- they represent the legal grounds that make the processing lawful. This is an application of the lawfulness principle;
- they define the boundaries within which the processing is allowed. This is an application of the principle of purpose limitation.

The combination of these two facets makes up the processing scope.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_27535d61_8d2c_4e2c_96bd_cabd05c9149a -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_27535d61_8d2c_4e2c_96bd_cabd05c9149a">
        <rdfs:label xml:lang="en">Representative</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_99a373a5_bae0_4769_a675_7bf1a8467f00"/>
        <rdfs:comment xml:lang="en">Article 4(14)

Any natural or legal person established in the Union who, explicitly designated by the controller, acts and may be addressed by any supervisory authority and other bodies in the Union instead of the controller, with regard to the obligations of the controller under this Regulation.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_28125d88_ca58_40fb_bedf_8b05cc85a4ec -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_28125d88_ca58_40fb_bedf_8b05cc85a4ec">
        <rdfs:label xml:lang="en">OrganisationalMeasures</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_37cc24cc_e8cc_4ac2_8594_7aa5cc97f129"/>
        <rdfs:comment xml:lang="en">Security measures that concern the organization of the controller or processor, including the division of roles and limited access rights.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_29c82d22_60ee_4d6c_a0a3_791432cc5481 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_29c82d22_60ee_4d6c_a0a3_791432cc5481">
        <rdfs:label xml:lang="en">ObligatedProcessing</rdfs:label>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_50f8f0ef_9504_4ceb_b566_8fcb583ab045"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_e7e707fc_dc05_4f59_973d_771a0e393117"/>
            </Restriction>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f91e368a_9e61_4616_85d2_d24ff9c08ab2"/>
        <rdfs:comment xml:lang="en">Article 6.1(c)

Processing that is necessary for compliance with a legal obligation to which the controller is subject.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_2da92369_af57_4fc1_b84a_a35658cb88cf -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_2da92369_af57_4fc1_b84a_a35658cb88cf">
        <rdfs:label xml:lang="en">RightToObject</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_15f536e2_2946_4aca_b996_2615e37e729a"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_8fd1b241_6e73_4771_9cf7_4a995dd8311b"/>
        <rdfs:comment xml:lang="en">Article 19.1

The data subject shall have the right to object, on grounds relating to their particular situation, at any time to the processing of personal data which is based on points (d), (e) and (f) of Article 6(1), unless the controller demonstrates compelling legitimate grounds for the processing which override the interests or fundamental rights and freedoms of the data subject.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_301e1bec_ae1a_4601_9bea_a35fe79e4ea3 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_301e1bec_ae1a_4601_9bea_a35fe79e4ea3">
        <rdfs:label xml:lang="en">RequiredProcessing</rdfs:label>
        <equivalentClass>
            <Class>
                <unionOf rdf:parseType="Collection">
                    <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLClass_02b07422_386e_4a70_8c4a_c2534b513fb5"/>
                    <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLClass_1dcad2a0_486a_4f14_8b0e_1b9e521f738e"/>
                    <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLClass_29c82d22_60ee_4d6c_a0a3_791432cc5481"/>
                    <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLClass_57b79a8d_ad1a_4ace_9892_affeb548ba0d"/>
                    <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLClass_df7e7536_7235_4e30_b042_4e8a8b5852a5"/>
                </unionOf>
            </Class>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f91e368a_9e61_4616_85d2_d24ff9c08ab2"/>
        <rdfs:comment xml:lang="en">Any processing that is not based upon the explicit consent of the data subject.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_31ba96e6_a8e7_4d61_9af2_25280e70bb8f -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_31ba96e6_a8e7_4d61_9af2_25280e70bb8f">
        <rdfs:label xml:lang="en">Security</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_7e0df94b_e1c3_4a97_b19d_d9320b921f84"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_c750844c_48fa_4fbd_8619_b8b9b1e967db"/>
        <rdfs:comment xml:lang="en">Article 30.1

The controller and the processor shall implement appropriate technical and organisational measures to ensure a level of security appropriate to the risks represented by the processing and the nature of the personal data to be protected, having regard to the state of the art and the costs of their implementation.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_336f5c83_c4cc_4889_8cbc_2c07562155a2 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_336f5c83_c4cc_4889_8cbc_2c07562155a2">
        <rdfs:label xml:lang="en">LawfulTransfer</rdfs:label>
        <equivalentClass>
            <Class>
                <unionOf rdf:parseType="Collection">
                    <Class>
                        <intersectionOf rdf:parseType="Collection">
                            <Restriction>
                                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_963fc55c_8a6d_48eb_a7b5_0d111603003a"/>
                                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_12ed2171_63ca_4d47_afcd_b6721ac351a9"/>
                            </Restriction>
                            <Restriction>
                                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_ede6ce89_417f_48c1_a76e_4df8ff1ad55a"/>
                                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_06a52543_55ee_4037_8370_dd56a165fe70"/>
                            </Restriction>
                        </intersectionOf>
                    </Class>
                    <Restriction>
                        <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_963fc55c_8a6d_48eb_a7b5_0d111603003a"/>
                        <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_624c0561_eda6_4035_9f2a_47d4b8de3ee9"/>
                    </Restriction>
                </unionOf>
            </Class>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_eba91113_47e1_4806_8b83_bd8ba94c2002"/>
        <rdfs:comment xml:lang="en">Article 40

Any transfer of personal data which are undergoing processing or are intended for processing after transfer to a third country or to an international organisation may only take place if, subject to the other provisions of this Regulation, the conditions laid down in Chapter V are complied with by the controller and processor, including for onward transfers of personal data from the third country or an international organisation to another third country or to another international organisation.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_37cc24cc_e8cc_4ac2_8594_7aa5cc97f129 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_37cc24cc_e8cc_4ac2_8594_7aa5cc97f129">
        <rdfs:label xml:lang="en">Measures</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_31ba96e6_a8e7_4d61_9af2_25280e70bb8f"/>
        <rdfs:comment xml:lang="en">The means by which the controller and the processor tries to avoid data breaches.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_38c37e49_92a4_4bbc_9780_9eed89158298 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_38c37e49_92a4_4bbc_9780_9eed89158298">
        <rdfs:label xml:lang="en">DataMinimization</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_b491c951_2363_4eab_a32f_0fc922d48adc"/>
        <rdfs:comment xml:lang="en">Personal data should be collected only when, and to the extent to which, a given purpose cannot be reached without using anonymous or statistical data or data that do not allow identification of the data subject.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_3c5113eb_0923_4946_86cf_f5a83de7f9bb -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_3c5113eb_0923_4946_86cf_f5a83de7f9bb">
        <rdfs:label xml:lang="en">Processor</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_99a373a5_bae0_4769_a675_7bf1a8467f00"/>
        <rdfs:comment xml:lang="en">Article 4(6)

A natural or legal person, public authority, agency or any other body which processes personal data on behalf of the controller.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_3c993f72_4546_4509_b66b_425999f0118d -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_3c993f72_4546_4509_b66b_425999f0118d">
        <rdfs:label xml:lang="en">AppropriateSafeguards</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_06a52543_55ee_4037_8370_dd56a165fe70"/>
        <rdfs:comment xml:lang="en">Article 42.1

Where the Commission has taken no decision pursuant to Article 41, a controller or processor may transfer personal data to a third country or an international organisation only if the controller or processor has adduced appropriate safeguards with respect to the protection of personal data in a legally binding instrument.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_411a42e7_c0a2_483e_b2ce_ebc85160fe33 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_411a42e7_c0a2_483e_b2ce_ebc85160fe33">
        <rdfs:label xml:lang="en">TechnicalMeasures</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_37cc24cc_e8cc_4ac2_8594_7aa5cc97f129"/>
        <rdfs:comment xml:lang="en">Security measures introduced in the technical infrastructure of the controller or processor, such as secure protocols, access control systems or encryption.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_413e4c1b_7d3b_4fc1_98c0_b782b533aae8 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_413e4c1b_7d3b_4fc1_98c0_b782b533aae8">
        <rdfs:label xml:lang="en">Controller</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_99a373a5_bae0_4769_a675_7bf1a8467f00"/>
        <rdfs:comment xml:lang="en">Article 4(5)

the natural or legal person, public authority, agency or any other body which alone or jointly with others determines the purposes, conditions and means of the processing of personal data; where the purposes, conditions and means of processing are determined by Union law or Member State law, the controller or the specific criteria for his nomination may be designated by Union law or by Member State law.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_43574c52_adab_4ef9_807a_68f850c65a04 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_43574c52_adab_4ef9_807a_68f850c65a04">
        <rdfs:label xml:lang="en">RightToRectification</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_8fd1b241_6e73_4771_9cf7_4a995dd8311b"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_fdf49ad5_3967_4c7f_b6dc_e8de56c976b2"/>
        <rdfs:comment xml:lang="en">Article 16

The data subject shall have the right to obtain from the controller the rectification of personal data relating to them which are inaccurate. The data subject shall have the right to obtain completion of incomplete personal data, including by way of supplementing a corrective statement.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_48029399_9b67_4460_9eec_db9c7f55752c -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_48029399_9b67_4460_9eec_db9c7f55752c">
        <rdfs:label xml:lang="en">Retention</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_38c37e49_92a4_4bbc_9780_9eed89158298"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_b841fd2e_162d_4f1a_8c2c_05dc948e63a0"/>
        <rdfs:comment xml:lang="en">DPH s. 3.3.3

Article 6 (1) (e) of the Data Protection Directive and, likewise, Article 5 (e) of Convention 108 require Member States to ensure that personal data are &quot;kept in a form which permits identification of data subjects for no longer than is necessary for the The key principles of European data protection law purposes for which the data were collected or for which they are further processed.&quot; The data must therefore be erased when those purposes have been served.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_49185c12_e790_4177_ba61_944b1fc3b8ce -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_49185c12_e790_4177_ba61_944b1fc3b8ce">
        <rdfs:label xml:lang="en">Certification</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_15f536e2_2946_4aca_b996_2615e37e729a"/>
        <rdfs:comment xml:lang="en">Article 39.1

The Member States and the Commission shall encourage, in particular at European level, the establishment of data protection certification mechanisms and of data protection seals and marks, allowing data subjects to quickly assess the level of data protection provided by controllers and processors. The data protection certifications mechanisms shall contribute to the proper application of this Regulation, taking account of the specific features of the various sectors and different processing operations.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_4a286d0b_f129_4976_be2b_9c7ab71beb24 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_4a286d0b_f129_4976_be2b_9c7ab71beb24">
        <rdfs:label xml:lang="en">TransparentInformation</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_15f536e2_2946_4aca_b996_2615e37e729a"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_a6bd38e0_dcde_48be_812b_8c785619187b"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_c750844c_48fa_4fbd_8619_b8b9b1e967db"/>
        <rdfs:comment xml:lang="en">Article 11

The controller shall have transparent and easily accessible policies with regard to the processing of personal data and for the exercise of data subjects&apos; rights.

The controller shall provide any information and any communication relating to the processing of personal data to the data subject in an intelligible form, using clear and plain language, adapted to the data subject, in particular for any information addressed specifically to a child.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_52a03e03_fa27_4f76_8af1_059dd1af4f90 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_52a03e03_fa27_4f76_8af1_059dd1af4f90">
        <rdfs:label xml:lang="en">PrivacyByDesign</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_15f536e2_2946_4aca_b996_2615e37e729a"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_31ba96e6_a8e7_4d61_9af2_25280e70bb8f"/>
        <rdfs:comment xml:lang="en">Article 23.1

Having regard to the state of the art and the cost of implementation, the controller shall, both at the time of the determination of the means for processing and at the time of the processing itself, implement appropriate technical and organisational measures and procedures in such a way that the processing will meet the requirements of this Regulation and ensure the protection of the rights of the data subject.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_573ba052_e830_419f_9c33_bee5251b8043 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_573ba052_e830_419f_9c33_bee5251b8043">
        <rdfs:label xml:lang="en">RightOfAccess</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_83eaae05_ab01_4df1_b8ed_a203cfec5a08"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_8fd1b241_6e73_4771_9cf7_4a995dd8311b"/>
        <rdfs:comment xml:lang="en">Article 15.1

The data subject shall have the right to obtain from the controller at any time, on request, confirmation as to whether or not personal data relating to the data subject are being processed. Where such personal data are being processed, the controller shall provide the following information:
(a) the purposes of the processing;
(b) the categories of personal data concerned;
(c) the recipients or categories of recipients to whom the personal data are to be or have been disclosed, in particular to recipients in third countries;
(d) the period for which the personal data will be stored;
(e) the existence of the right to request from the controller rectification or erasure of personal data concerning the data subject or to object to the processing of such personal data;
(f) the right to lodge a complaint to the supervisory authority and the contact details of the supervisory authority;
(g) communication of the personal data undergoing processing and of any available information as to their source;
(h) the significance and envisaged consequences of such processing, at least in the case of measures referred to in Article 20.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_57b79a8d_ad1a_4ace_9892_affeb548ba0d -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_57b79a8d_ad1a_4ace_9892_affeb548ba0d">
        <rdfs:label xml:lang="en">PublicInterestProcessing</rdfs:label>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_077c98dc_e4f1_4fa4_82f1_4d5d6bac1a11"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f0877852_cd4f_4338_bd33_7a11b7f3677d"/>
            </Restriction>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f91e368a_9e61_4616_85d2_d24ff9c08ab2"/>
        <rdfs:comment xml:lang="en">Article 6.1(e)

Processing that is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_583cd6c2_76ad_4b1c_b11b_60373af28e5b -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_583cd6c2_76ad_4b1c_b11b_60373af28e5b">
        <rdfs:label xml:lang="en">CodeOfConduct</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_59851879_88be_4cf3_bd27_3b185fc2046a"/>
        <rdfs:comment xml:lang="en">Article 38.1

The Member States, the supervisory authorities and the Commission shall encourage the drawing up of codes of conduct intended to contribute to the proper application of this Regulation, taking account of the specific features of the various data processing sectors, in particular in relation to:
(a) fair and transparent data processing;
(b) the collection of data;
(c) the information of the public and of data subjects;
(d) requests of data subjects in exercise of their rights;
(e) information and protection of children;
(f) transfer of data to third countries or international organisations;
(g) mechanisms for monitoring and ensuring compliance with the code by the controllers adherent to it;
(h) out-of-court proceedings and other dispute resolution procedures for resolving disputes between controllers and data subjects with respect to the processing of personal data, without prejudice to the rights of the data subjects pursuant to Articles 73 and 75.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_59851879_88be_4cf3_bd27_3b185fc2046a -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_59851879_88be_4cf3_bd27_3b185fc2046a">
        <rdfs:label xml:lang="en">Compliance</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_7e0df94b_e1c3_4a97_b19d_d9320b921f84"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_c750844c_48fa_4fbd_8619_b8b9b1e967db"/>
        <rdfs:comment xml:lang="en">Article 5(f)

Personal data must be processed under the responsibility and liability of the controller, who shall ensure and demonstrate for each processing operation the compliance with the provisions of this Regulation.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_5a9540f3_9f42_46c1_9cff_227fa5323efb -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_5a9540f3_9f42_46c1_9cff_227fa5323efb">
        <rdfs:label xml:lang="en">ProcessingActivity</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:comment>A specific operation which is performed upon personal data or sets of personal data.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_624c0561_eda6_4035_9f2a_47d4b8de3ee9 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_624c0561_eda6_4035_9f2a_47d4b8de3ee9">
        <rdfs:label xml:lang="en">EURecipient</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_bf972a40_26a4_451a_b104_ea993da94716"/>
        <rdfs:comment xml:lang="en">A recipient located within the European Union, or subject to the Regulation.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_69062b9e_235e_4977_877f_0021effc2dfc -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_69062b9e_235e_4977_877f_0021effc2dfc">
        <rdfs:label xml:lang="en">ParentConsent</rdfs:label>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_d6b379ea_fc70_4e52_8990_4b2579886200"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_91a1bac2_859c_446e_86c7_0f32f12470ac"/>
            </Restriction>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_fccddccc_e1c5_425a_9e67_99ea9c2dfa55"/>
        <rdfs:comment xml:lang="en">Consent to the processing of personal data of a child below the age of 13 years given or authorised by the child&apos;s parent or custodian.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_6c46bd74_4881_488e_b461_603592bc3426 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_6c46bd74_4881_488e_b461_603592bc3426">
        <rdfs:label xml:lang="en">Principle</rdfs:label>
        <rdfs:comment xml:lang="en">DPH ch. 3

The principles set out in Article 5 of Convention 108 enshrine the essence of European data protection law. They appear also in Article 6 of the Data Protection Directive as the starting point for more detailed provisions in the subsequent articles of the directive. All later data protection legislation at the CoE or EU level must comply with these principles and they must be kept in mind when interpreting such legislation.
Any exemptions from and restrictions to these key principles may be provided for at national level;107 they must be provided for by law, pursue a legitimate aim and be necessary in a democratic society. All three conditions must be fulfilled.</rdfs:comment>
        <skos:broadMatch rdf:resource="http://www.estrellaproject.org/lkif-core/norm.owl"/>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_70533b01_01ad_4c16_92d7_d37ff183d561 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_70533b01_01ad_4c16_92d7_d37ff183d561">
        <rdfs:label xml:lang="en">BindingCorporateRules</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_06a52543_55ee_4037_8370_dd56a165fe70"/>
        <rdfs:comment xml:lang="en">Article 43.1

A supervisory authority shall in accordance with the consistency mechanism set out in Article 58 approve binding corporate rules, provided that they:
(a) are legally binding and apply to and are enforced by every member within the controller’s or processor&apos;s group of undertakings, and include their employees;
(b) expressly confer enforceable rights on data subjects;
(c) fulfil the requirements laid down in paragraph 2.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_75dd7417_421b_47d5_b6cd_daf3b328ca3b -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_75dd7417_421b_47d5_b6cd_daf3b328ca3b">
        <rdfs:label xml:lang="en">ManualProcessing</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_847950cb_b447_4f15_bb85_ed45f878d760"/>
        <disjointWith rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f9140510_7d3e_441d_a8cf_a67da4fb19c4"/>
        <rdfs:comment xml:lang="en">Processing that requires human activity.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_771335d1_185e_465d_b779_165e6f384353 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_771335d1_185e_465d_b779_165e6f384353">
        <rdfs:label xml:lang="en">PrivacyByDefault</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_31ba96e6_a8e7_4d61_9af2_25280e70bb8f"/>
        <rdfs:comment xml:lang="en">Article 23.2

The controller shall implement mechanisms for ensuring that, by default, only those personal data are processed which are necessary for each specific purpose of the processing and are especially not collected or retained beyond the minimum necessary for those purposes, both in terms of the amount of the data and the time of their storage. In particular, those mechanisms shall ensure that by default personal data are not made accessible to an indefinite number of individuals.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_7bb468f6_ab61_4585_a9cb_522371c20b9d -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_7bb468f6_ab61_4585_a9cb_522371c20b9d">
        <rdfs:label xml:lang="en">Objection</rdfs:label>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_9d75d818_a66f_4e92_8400_6990cb686671"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_15f536e2_2946_4aca_b996_2615e37e729a"/>
            </Restriction>
        </equivalentClass>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_2a714588_010a_4833_ae08_09b32aa6295c"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
            </Restriction>
        </equivalentClass>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_9679a244_6762_4da7_9aaa_c89f96e6f22c"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_2da92369_af57_4fc1_b84a_a35658cb88cf"/>
            </Restriction>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClassImpl_58cf8e1b_e912_4f83_bdbe_0214e093bd4c"/>
        <rdfs:comment xml:lang="en">The data subjects&apos; objection to the processing of personal data, on grounds relating to their particular situation, at any time to the processing of personal data which is based on points (d), (e) and (f) of Article 6(1).</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_7e0df94b_e1c3_4a97_b19d_d9320b921f84 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_7e0df94b_e1c3_4a97_b19d_d9320b921f84">
        <rdfs:label xml:lang="en">Accountability</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_6c46bd74_4881_488e_b461_603592bc3426"/>
        <rdfs:comment xml:lang="en">DPH s. 3.5

The Organisation for Economic Co-operation and Development (OECD) adopted privacy guidelines in 2013 that highlighted that controllers have an important role in making data protection work in practice. The guidelines develop an accountability principle to the effect that &quot;a data controller should be accountable for complying with measures which give effect to the [material] principles stated above.&quot;</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_7ef6aaee_8d1b_4e22_bee2_f64f4332c477 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_7ef6aaee_8d1b_4e22_bee2_f64f4332c477">
        <rdfs:label xml:lang="en">LawfulnessRule</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_b937960f_e255_4bcf_aff6_f362c905a8b8"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_c750844c_48fa_4fbd_8619_b8b9b1e967db"/>
        <rdfs:comment xml:lang="en">DPH s. 4.1.1

Chapter II of Directive 95/46, entitled ‘General rules on the lawfulness of the processing of personal data’, provides that, subject to the exceptions permitted under Article 13, all processing of personal data must comply, first, with the principles relating to data quality set out in Article 6 of the Data Protection Directive and, secondly, with one of the criteria for making data processing legitimate, listed in Article 7. This explains the cases which legitimise the processing of non-sensitive personal data.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_801beed0_2387_4a31_a5f1_6636c3558cb7 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_801beed0_2387_4a31_a5f1_6636c3558cb7">
        <rdfs:label xml:lang="en">ChildDataSubject</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315"/>
        <rdfs:comment xml:lang="en">A data subject under the age of 13 years.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_83eaae05_ab01_4df1_b8ed_a203cfec5a08 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_83eaae05_ab01_4df1_b8ed_a203cfec5a08">
        <rdfs:label xml:lang="en">Transparency</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_eccd3a99_0368_4293_a3d1_e344dc5bd0a1"/>
        <rdfs:comment xml:lang="en">DPH s. 3.4.1

This principle establishes an obligation for the controller to keep the data subjects informed about how their data are being used.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_847950cb_b447_4f15_bb85_ed45f878d760 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_847950cb_b447_4f15_bb85_ed45f878d760">
        <rdfs:label xml:lang="en">ProcessingMode</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:comment xml:lang="en">The specific way in which the processing is performed.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_8fd1b241_6e73_4771_9cf7_4a995dd8311b -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_8fd1b241_6e73_4771_9cf7_4a995dd8311b">
        <rdfs:label xml:lang="en">DataSubjectRight</rdfs:label>
        <rdfs:comment xml:lang="en">DPH s. 5.1

The effectiveness of legal rules in general and data subjects’ rights in particular, depends to a considerable extent on the existence of appropriate mechanisms to enforce them. In European data protection law, the data subject must be empowered by national law to protect his or her data. Independent supervisory authorities must also be established by national law to assist the data subjects in exercising their rights and to supervise the processing of personal data. Additionally, the right to an effective remedy, as guaranteed under the ECHR and the Charter, demands that judicial remedies be available to every person.</rdfs:comment>
        <skos:closeMatch rdf:resource="http://www.estrellaproject.org/lkif-core/norm.owl#Right"/>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_91a1bac2_859c_446e_86c7_0f32f12470ac -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_91a1bac2_859c_446e_86c7_0f32f12470ac">
        <rdfs:label xml:lang="en">Parent</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_99a373a5_bae0_4769_a675_7bf1a8467f00"/>
        <rdfs:comment xml:lang="en">The parent or custodian of a child below the age of 13 years.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_931c3eee_c583_4adb_9af9_e0891ea43f2b -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_931c3eee_c583_4adb_9af9_e0891ea43f2b">
        <rdfs:label xml:lang="en">RightToErasure</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_48029399_9b67_4460_9eec_db9c7f55752c"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_8fd1b241_6e73_4771_9cf7_4a995dd8311b"/>
        <rdfs:comment xml:lang="en">Article 17.1

The data subject shall have the right to obtain from the controller the erasure of personal data relating to them and the abstention from further dissemination of such data, especially in relation to personal data which are made available by the data subject while he or she was a child, where one of the following grounds applies:
(a) the data are no longer necessary in relation to the purposes for which they were collected or otherwise processed;
(b) the data subject withdraws consent on which the processing is based according to point (a) of Article 6(1), or when the storage period consented to has expired, and where there is no other legal ground for the processing of the data;
(c) the data subject objects to the processing of personal data pursuant to Article 19;
(d) the processing of the data does not comply with this Regulation for other reasons.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_99a373a5_bae0_4769_a675_7bf1a8467f00 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_99a373a5_bae0_4769_a675_7bf1a8467f00">
        <rdfs:label xml:lang="en">Person</rdfs:label>
        <disjointWith rdf:resource="http://www.uni.lu/dataprotection#OWLClass_ed8bdd2f_f171_49c2_9386_576fe410d791"/>
        <rdfs:comment xml:lang="en">An individual or organization involved in the processing of personal data.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_a2ccd29b_a341_4659_919a_977a6a81d4d1 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_a2ccd29b_a341_4659_919a_977a6a81d4d1">
        <rdfs:label xml:lang="en">Consent</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_15f536e2_2946_4aca_b996_2615e37e729a"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f993be7a_344f_4fee_9a35_75f1e3b367c5"/>
        <rdfs:comment xml:lang="en">Article 7

The controller shall bear the burden of proof for the data subject&apos;s consent to the processing of their personal data for specified purposes.

If the data subject&apos;s consent is to be given in the context of a written declaration which also concerns another matter, the requirement to give consent must be presented distinguishable in its appearance from this other matter.

The data subject shall have the right to withdraw his or her consent at any time. The withdrawal of consent shall not affect the lawfulness of processing based on consent before its withdrawal.

Consent shall not provide a legal basis for the processing, where there is a significant imbalance between the position of the data subject and the controller.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_a42fde83_5051_4cc3_b86c_b1981b6b6500 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_a42fde83_5051_4cc3_b86c_b1981b6b6500">
        <rdfs:label xml:lang="en">LegitimateInterest</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f993be7a_344f_4fee_9a35_75f1e3b367c5"/>
        <rdfs:comment xml:lang="en">Objective that a subject can legally pursue.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_a6bd38e0_dcde_48be_812b_8c785619187b -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_a6bd38e0_dcde_48be_812b_8c785619187b">
        <rdfs:label xml:lang="en">RightToInformation</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_83eaae05_ab01_4df1_b8ed_a203cfec5a08"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_8fd1b241_6e73_4771_9cf7_4a995dd8311b"/>
        <rdfs:comment xml:lang="en">Article 14.1

Where personal data relating to a data subject are collected, the controller shall provide the data subject with at least the following information:
(a) the identity and the contact details of the controller and, if any, of the controller&apos;s representative and of the data protection officer;
(b) the purposes of the processing for which the personal data are intended, including the contract terms and general conditions where the processing is based on point (b) of Article 6(1) and the legitimate interests pursued by the controller where the processing is based on point (f) of Article 6(1);
(c) the period for which the personal data will be stored;
(d) the existence of the right to request from the controller access to and rectification or erasure of the personal data concerning the data subject or to object to the processing of such personal data;
(e) the right to lodge a complaint to the supervisory authority and the contact details of the supervisory authority;
(f) the recipients or categories of recipients of the personal data;
(g) where applicable, that the controller intends to transfer to a third country or international organisation and on the level of protection afforded by that third country or international organisation by reference to an adequacy decision by the Commission;
(h) any further information necessary to guarantee fair processing in respect of the data subject, having regard to the specific circumstances in which the personal data are collected.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_af4ae221_0c41_4b82_8ff9_7561e9d9c6cd -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_af4ae221_0c41_4b82_8ff9_7561e9d9c6cd">
        <rdfs:label xml:lang="en">Rule</rdfs:label>
        <rdfs:comment xml:lang="en">Requirement that the controller or processor must fulfill to be compliant with the Regulation.</rdfs:comment>
        <skos:broadMatch rdf:resource="http://www.estrellaproject.org/lkif-core/norm.owl#Obligation"/>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_b3ce5053_8b0c_41d5_81ba_36f3ccbd5642 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_b3ce5053_8b0c_41d5_81ba_36f3ccbd5642">
        <rdfs:label xml:lang="en">DataProtectionOfficer</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_59851879_88be_4cf3_bd27_3b185fc2046a"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_99a373a5_bae0_4769_a675_7bf1a8467f00"/>
        <rdfs:comment xml:lang="en">Article 37.1

The controller or the processor shall entrust the data protection officer at least with the following tasks:
(a) to inform and advise the controller or the processor of their obligations pursuant to this Regulation and to document this activity and the responses received;
(b) to monitor the implementation and application of the policies of the controller or processor in relation to the protection of personal data, including the assignment of responsibilities, the training of staff involved in the processing operations, and the related audits;
(c) to monitor the implementation and application of this Regulation, in particular as to the requirements related to data protection by design, data protection by default and data security and to the information of data subjects and their requests in exercising their rights under this Regulation;
(d) to ensure that the documentation referred to in Article 28 is maintained;
(e) to monitor the documentation, notification and communication of personal data breaches pursuant to Articles 31 and 32;
(f) to monitor the performance of the data protection impact assessment by the controller or processor and the application for prior authorisation or prior consultation, if required pursuant Articles 33 and 34;
(g) to monitor the response to requests from the supervisory authority, and, within the sphere of the data protection officer&apos;s competence, co-operating with the supervisory authority at the latter&apos;s request or on the data protection officer&apos;s own initiative;
(h) to act as the contact point for the supervisory authority on issues related to the processing and consult with the supervisory authority, if appropriate, on his/her own initiative.</rdfs:comment>
        <skos:broadMatch rdf:resource="http://www.estrellaproject.org/lkif-core/legal-action.owl#Legal_Person"/>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_b491c951_2363_4eab_a32f_0fc922d48adc -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_b491c951_2363_4eab_a32f_0fc922d48adc">
        <rdfs:label xml:lang="en">Purpose</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_6c46bd74_4881_488e_b461_603592bc3426"/>
        <rdfs:comment xml:lang="en">DPH s. 3.2

In essence, the principle of purpose specification and limitation means that the legitimacy of processing personal data will depend on the purpose of the processing. The purpose must have been specified and made manifest by the controller before the processing of data starts. Under EU law, this must be done either by declaration, in other words by notification, to the appropriate supervisory authority or, at the least, by internal documentation which must be made available by the controller for inspection by the supervisory authorities and access by the data subject.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_b628f28a_bd8c_471e_9c61_9548ff8cfd58 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_b628f28a_bd8c_471e_9c61_9548ff8cfd58">
        <rdfs:label xml:lang="en">RightToNoProfiling</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_8fd1b241_6e73_4771_9cf7_4a995dd8311b"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_b491c951_2363_4eab_a32f_0fc922d48adc"/>
        <rdfs:comment xml:lang="en">Article 20.1

Every natural person shall have the right not to be subject to a measure which produces legal effects concerning this natural person or significantly affects this natural person, and which is based solely on automated processing intended to evaluate certain personal aspects relating to this natural person or to analyse or predict in particular the natural person&apos;s performance at work, economic situation, location, health, personal preferences, reliability or behaviour.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_b841fd2e_162d_4f1a_8c2c_05dc948e63a0 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_b841fd2e_162d_4f1a_8c2c_05dc948e63a0">
        <rdfs:label xml:lang="en">DataQuality</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_6c46bd74_4881_488e_b461_603592bc3426"/>
        <rdfs:comment xml:lang="en">DPH s. 3.3

The principles of data quality must be implemented by the controller in all processing operations.
The principle of limited retention of data makes it necessary to delete data as soon as they are no longer needed for the purposes for which they were collected.
Exemptions from the principle of limited retention must be set out by law and need special safeguards for the protection of data subjects.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_b937960f_e255_4bcf_aff6_f362c905a8b8 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_b937960f_e255_4bcf_aff6_f362c905a8b8">
        <rdfs:label xml:lang="en">LawfulnessPrinciple</rdfs:label>
        <equivalentClass>
            <Class>
                <oneOf rdf:parseType="Collection">
                    <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_9383a976_2f15_4a41_8d61_e43b5694658f"/>
                    <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_d54a634e_1259_4078_928b_3a630491f3c3"/>
                </oneOf>
            </Class>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_6c46bd74_4881_488e_b461_603592bc3426"/>
        <rdfs:comment xml:lang="en">DPH s. 3.1.1

The processing of personal data may constitute an interference with the right to respect for private life of the data subject. The right to respect for private life is, however, not an absolute right but must be balanced against and reconciled with other legitimate interests, be they of other persons (private interests) or of society as a whole (public interests).</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_ba7850fa_6664_4b14_91d4_b8307ae8481d -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_ba7850fa_6664_4b14_91d4_b8307ae8481d">
        <rdfs:label xml:lang="en">Justification</rdfs:label>
        <disjointWith rdf:resource="http://www.uni.lu/dataprotection#OWLClass_ed8bdd2f_f171_49c2_9386_576fe410d791"/>
        <rdfs:comment xml:lang="en">Reason to perform the processing, such as the interest of the data controller.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315">
        <rdfs:label xml:lang="en">DataSubject</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_99a373a5_bae0_4769_a675_7bf1a8467f00"/>
        <rdfs:comment xml:lang="en">Article 4(1)

An identified natural person or a natural person who can be identified, directly or indirectly, by means reasonably likely to be used by the controller or by any other natural or legal person, in particular by reference to an identification number, location data, online identifier or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that person.</rdfs:comment>
        <skos:closeMatch rdf:resource="http://www.estrellaproject.org/lkif-core/legal-action.owl#Natural_Person"/>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_bf972a40_26a4_451a_b104_ea993da94716 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_bf972a40_26a4_451a_b104_ea993da94716">
        <rdfs:label xml:lang="en">Recipient</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_413e4c1b_7d3b_4fc1_98c0_b782b533aae8"/>
        <rdfs:comment xml:lang="en">Article 4(7)

A natural or legal person, public authority, agency or any other body to which the personal data are disclosed</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_bfbcc9ac_862a_454f_8a67_a52f688d75ca -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_bfbcc9ac_862a_454f_8a67_a52f688d75ca">
        <rdfs:label xml:lang="en">AdequacyDecision</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_06a52543_55ee_4037_8370_dd56a165fe70"/>
        <rdfs:comment xml:lang="en">Article 41.1

A transfer may take place where the Commission has decided that the third country, or a territory or a processing sector within that third country, or the international organisation in question ensures an adequate level of protection. Such transfer shall not require any further authorisation.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_c37e1def_c49d_4171_94ca_7d6912ef2acf -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_c37e1def_c49d_4171_94ca_7d6912ef2acf">
        <rdfs:label xml:lang="en">ConsensualProcessing</rdfs:label>
        <equivalentClass>
            <Class>
                <unionOf rdf:parseType="Collection">
                    <Class>
                        <intersectionOf rdf:parseType="Collection">
                            <Class>
                                <complementOf>
                                    <Restriction>
                                        <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_1c8dcaa8_9f93_4cbb_9523_b4884a29a9b8"/>
                                        <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_ea967b60_4d4f_41e0_97fe_8d7dd514619c"/>
                                    </Restriction>
                                </complementOf>
                            </Class>
                            <Restriction>
                                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_1c8dcaa8_9f93_4cbb_9523_b4884a29a9b8"/>
                                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5"/>
                            </Restriction>
                            <Restriction>
                                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52"/>
                                <onClass rdf:resource="http://www.uni.lu/dataprotection#OWLClass_fccddccc_e1c5_425a_9e67_99ea9c2dfa55"/>
                                <qualifiedCardinality rdf:datatype="&xsd;nonNegativeInteger">1</qualifiedCardinality>
                            </Restriction>
                        </intersectionOf>
                    </Class>
                    <Class>
                        <intersectionOf rdf:parseType="Collection">
                            <Class>
                                <complementOf>
                                    <Restriction>
                                        <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_1c8dcaa8_9f93_4cbb_9523_b4884a29a9b8"/>
                                        <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5"/>
                                    </Restriction>
                                </complementOf>
                            </Class>
                            <Restriction>
                                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52"/>
                                <onClass rdf:resource="http://www.uni.lu/dataprotection#OWLClass_a2ccd29b_a341_4659_919a_977a6a81d4d1"/>
                                <qualifiedCardinality rdf:datatype="&xsd;nonNegativeInteger">1</qualifiedCardinality>
                            </Restriction>
                        </intersectionOf>
                    </Class>
                    <Class>
                        <intersectionOf rdf:parseType="Collection">
                            <Restriction>
                                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_1c8dcaa8_9f93_4cbb_9523_b4884a29a9b8"/>
                                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_ea967b60_4d4f_41e0_97fe_8d7dd514619c"/>
                            </Restriction>
                            <Restriction>
                                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52"/>
                                <onClass rdf:resource="http://www.uni.lu/dataprotection#OWLClass_69062b9e_235e_4977_877f_0021effc2dfc"/>
                                <qualifiedCardinality rdf:datatype="&xsd;nonNegativeInteger">1</qualifiedCardinality>
                            </Restriction>
                        </intersectionOf>
                    </Class>
                </unionOf>
            </Class>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f91e368a_9e61_4616_85d2_d24ff9c08ab2"/>
        <rdfs:comment xml:lang="en">Article 6.1(a)

Processing of personal data to which the data subject has given consent for one or more specific purposes.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_c544c98a_ea80_4638_94c2_47fe7985c5b9 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_c544c98a_ea80_4638_94c2_47fe7985c5b9">
        <rdfs:label xml:lang="en">DataBreach</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_15f536e2_2946_4aca_b996_2615e37e729a"/>
        <rdfs:comment xml:lang="en">A violation of the security measures of the data controller that exposes personal data to unintended subjects.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_c61c5125_09a3_46f0_9369_2288f8f41a1b -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_c61c5125_09a3_46f0_9369_2288f8f41a1b">
        <rdfs:label xml:lang="en">Documentation</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_83eaae05_ab01_4df1_b8ed_a203cfec5a08"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_c750844c_48fa_4fbd_8619_b8b9b1e967db"/>
        <rdfs:comment xml:lang="en">Article 28.1

Each controller and processor and, if any, the controller&apos;s representative, shall maintain documentation of all processing operations under its responsibility.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_c750844c_48fa_4fbd_8619_b8b9b1e967db -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_c750844c_48fa_4fbd_8619_b8b9b1e967db">
        <rdfs:label xml:lang="en">ProcessingRule</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_af4ae221_0c41_4b82_8ff9_7561e9d9c6cd"/>
        <rdfs:comment xml:lang="en">DPH ch. 4

Principles are necessarily of a general nature. Their application to concrete situations leaves a certain margin of interpretation and choice of means. Under CoE law, it is left to the Parties to Convention 108 to clarify this margin of interpretation in their domestic law. The situation in EU law is different: for the establishment of data protection in the internal market, it was deemed necessary to have more detailed rules already at the EU level in order to harmonise the level of data protection of the national laws of the Member States. The Data Protection Directive establishes, under the principles set out in its Article 6, a layer of detailed rules which must be faithfully implemented in national law. The following remarks on detailed data protection rules at the European level deal, therefore, predominantly with EU law.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_cd736f6b_2897_46b3_af1e_89e318585b0a -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_cd736f6b_2897_46b3_af1e_89e318585b0a">
        <rdfs:label xml:lang="en">ImpactAssessment</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_7e0df94b_e1c3_4a97_b19d_d9320b921f84"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_c750844c_48fa_4fbd_8619_b8b9b1e967db"/>
        <rdfs:comment xml:lang="en">Article 33.1

Where processing operations present specific risks to the rights and freedoms of data subjects by virtue of their nature, their scope or their purposes, the controller or the processor acting on the controller&apos;s behalf shall carry out an assessment of the impact of the envisaged processing operations on the protection of personal data.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_d6d8fedc_ca29_4852_bc9d_fe4abf2707e0 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_d6d8fedc_ca29_4852_bc9d_fe4abf2707e0">
        <rdfs:label xml:lang="en">Rectification</rdfs:label>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_9d75d818_a66f_4e92_8400_6990cb686671"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_fdf49ad5_3967_4c7f_b6dc_e8de56c976b2"/>
            </Restriction>
        </equivalentClass>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectPropertyImpl_9679a244_6762_4da7_9aaa_c89f96e6f22c"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_43574c52_adab_4ef9_807a_68f850c65a04"/>
            </Restriction>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClassImpl_58cf8e1b_e912_4f83_bdbe_0214e093bd4c"/>
        <rdfs:comment xml:lang="en">The request to obtain from the controller the rectification of personal data relating to them which are inaccurate.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_dd11ad3d_8e96_4fd6_9646_b1fa4799b296 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_dd11ad3d_8e96_4fd6_9646_b1fa4799b296">
        <rdfs:label xml:lang="en">SupervisoryAuthority</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_99a373a5_bae0_4769_a675_7bf1a8467f00"/>
        <rdfs:comment xml:lang="en">Article 4(19)

A public authority which is established by a Member State in accordance with Article 46.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_df7e7536_7235_4e30_b042_4e8a8b5852a5 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_df7e7536_7235_4e30_b042_4e8a8b5852a5">
        <rdfs:label xml:lang="en">LegitimateInterestProcessing</rdfs:label>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_6eaca250_d77d_4df4_b978_8dcbb84e6a50"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_a42fde83_5051_4cc3_b86c_b1981b6b6500"/>
            </Restriction>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f91e368a_9e61_4616_85d2_d24ff9c08ab2"/>
        <rdfs:comment xml:lang="en">Article 6.1(f)

Processing that is necessary for the purposes of the legitimate interests pursued by a controller, except where such interests are overridden by the interests or fundamental rights and freedoms of the data subject which require protection of personal data, in particular where the data subject is a child. This shall not apply to processing carried out by public authorities in the performance of their tasks.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_e7e707fc_dc05_4f59_973d_771a0e393117 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_e7e707fc_dc05_4f59_973d_771a0e393117">
        <rdfs:label xml:lang="en">LegalObligation</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f993be7a_344f_4fee_9a35_75f1e3b367c5"/>
        <rdfs:comment xml:lang="en">Behaviour that is legally required of a subject by means of a contract or law.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_ea967b60_4d4f_41e0_97fe_8d7dd514619c -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_ea967b60_4d4f_41e0_97fe_8d7dd514619c">
        <rdfs:label xml:lang="en">ChildData</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5"/>
        <rdfs:comment xml:lang="en">Personal data pertaining to a data subject under the age of 13 years.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_eba91113_47e1_4806_8b83_bd8ba94c2002 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_eba91113_47e1_4806_8b83_bd8ba94c2002">
        <rdfs:label xml:lang="en">DataTransfer</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_5a9540f3_9f42_46c1_9cff_227fa5323efb"/>
        <rdfs:comment xml:lang="en">Article 4(3)

Disclosure of personal data by transmission, dissemination or otherwise
making available.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_eccd3a99_0368_4293_a3d1_e344dc5bd0a1 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_eccd3a99_0368_4293_a3d1_e344dc5bd0a1">
        <rdfs:label xml:lang="en">Fairness</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_6c46bd74_4881_488e_b461_603592bc3426"/>
        <rdfs:comment xml:lang="en">DPH s. 3.4

The principle of fair processing governs primarily the relationship between the controller and the data subject.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_ed8bdd2f_f171_49c2_9386_576fe410d791 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_ed8bdd2f_f171_49c2_9386_576fe410d791">
        <rdfs:label xml:lang="en">PersonalData</rdfs:label>
        <rdfs:comment xml:lang="en">Article 4(2)

Any information relating to a data subject.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_efdc2be7_211a_4933_bdef_2fed334f2858 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_efdc2be7_211a_4933_bdef_2fed334f2858">
        <rdfs:label xml:lang="en">BreachNotification</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_31ba96e6_a8e7_4d61_9af2_25280e70bb8f"/>
        <rdfs:comment xml:lang="en">Article 31.1

In the case of a personal data breach, the controller shall without undue delay and, where feasible, not later than 24 hours after having become aware of it, notify the personal data breach to the supervisory authority. The notification to the supervisory authority shall be accompanied by a reasoned justification in cases where it is not made within 24 hours.

Article 32.1

When the personal data breach is likely to adversely affect the protection of the personal data or privacy of the data subject, the controller shall, after the notification referred to in Article 31, communicate the personal data breach to the data subject without undue delay.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_f0877852_cd4f_4338_bd33_7a11b7f3677d -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_f0877852_cd4f_4338_bd33_7a11b7f3677d">
        <rdfs:label xml:lang="en">PublicInterest</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f993be7a_344f_4fee_9a35_75f1e3b367c5"/>
        <rdfs:comment xml:lang="en">An interest beneficial to a general community of undetermined individuals.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5">
        <rdfs:label xml:lang="en">SensitiveData</rdfs:label>
        <equivalentClass>
            <Class>
                <unionOf rdf:parseType="Collection">
                    <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLClass_ea967b60_4d4f_41e0_97fe_8d7dd514619c"/>
                    <Class>
                        <oneOf rdf:parseType="Collection">
                            <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_ad6121f2_bdc0_4ea7_a67e_372f70b08f9a"/>
                            <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_f39efa62_7202_46d8_9736_7be3966f2ee4"/>
                            <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_8de904ed_c312_4b94_8936_21ff4dc59afc"/>
                            <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_2f06aa66_4ab7_41c6_9b94_c2cb13e9691f"/>
                            <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_e572ffb6_feda_492a_83c1_2ab982d3af11"/>
                            <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_f7438c24_0ad0_44ee_a402_760d6d3aaa99"/>
                            <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_55e57984_3d3c_4ba0_8321_6c74aaf17d36"/>
                            <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_80f23d4a_5825_4858_af79_1c67c5289684"/>
                            <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_a91304fc_bb35_41cd_a8f0_8cf07c096e4a"/>
                        </oneOf>
                    </Class>
                </unionOf>
            </Class>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_ed8bdd2f_f171_49c2_9386_576fe410d791"/>
        <rdfs:comment xml:lang="en">Article 9.1

Personal data revealing race or ethnic origin, political opinions, religion or beliefs, trade-union membership, and the processing of genetic data or data concerning health or sex life or criminal convictions or related security measures.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_f9140510_7d3e_441d_a8cf_a67da4fb19c4 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_f9140510_7d3e_441d_a8cf_a67da4fb19c4">
        <rdfs:label xml:lang="en">AutomatedProcessing</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_847950cb_b447_4f15_bb85_ed45f878d760"/>
        <rdfs:comment xml:lang="en">Processing that does not require human activity.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_f91e368a_9e61_4616_85d2_d24ff9c08ab2 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_f91e368a_9e61_4616_85d2_d24ff9c08ab2">
        <rdfs:label xml:lang="en">LawfulProcessing</rdfs:label>
        <equivalentClass>
            <Class>
                <unionOf rdf:parseType="Collection">
                    <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLClass_02b07422_386e_4a70_8c4a_c2534b513fb5"/>
                    <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLClass_301e1bec_ae1a_4601_9bea_a35fe79e4ea3"/>
                    <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLClass_c37e1def_c49d_4171_94ca_7d6912ef2acf"/>
                </unionOf>
            </Class>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
        <rdfs:subClassOf>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_c2d389de_7681_40df_b3e8_00982e1ae1f2"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_fa3d54a9_5ad4_4240_b021_815d980dcda6"/>
            </Restriction>
        </rdfs:subClassOf>
        <rdfs:subClassOf>
            <Class>
                <complementOf>
                    <Restriction>
                        <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_4233322f_cb80_4ee7_bed2_213d920c59c3"/>
                        <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_7bb468f6_ab61_4585_a9cb_522371c20b9d"/>
                    </Restriction>
                </complementOf>
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        </rdfs:subClassOf>
        <rdfs:subClassOf>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_59851879_88be_4cf3_bd27_3b185fc2046a"/>
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        </rdfs:subClassOf>
        <rdfs:subClassOf>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_c2d389de_7681_40df_b3e8_00982e1ae1f2"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_b628f28a_bd8c_471e_9c61_9548ff8cfd58"/>
            </Restriction>
        </rdfs:subClassOf>
        <rdfs:subClassOf>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_c2d389de_7681_40df_b3e8_00982e1ae1f2"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_43574c52_adab_4ef9_807a_68f850c65a04"/>
            </Restriction>
        </rdfs:subClassOf>
        <rdfs:subClassOf>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_c61c5125_09a3_46f0_9369_2288f8f41a1b"/>
            </Restriction>
        </rdfs:subClassOf>
        <rdfs:subClassOf>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_cd736f6b_2897_46b3_af1e_89e318585b0a"/>
            </Restriction>
        </rdfs:subClassOf>
        <rdfs:subClassOf>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_c2d389de_7681_40df_b3e8_00982e1ae1f2"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_12f8d2e4_932c_44b2_a152_7fb6fe4d7e7c"/>
            </Restriction>
        </rdfs:subClassOf>
        <rdfs:subClassOf>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_31ba96e6_a8e7_4d61_9af2_25280e70bb8f"/>
            </Restriction>
        </rdfs:subClassOf>
        <rdfs:subClassOf>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f993be7a_344f_4fee_9a35_75f1e3b367c5"/>
            </Restriction>
        </rdfs:subClassOf>
        <rdfs:subClassOf>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_c2d389de_7681_40df_b3e8_00982e1ae1f2"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_2da92369_af57_4fc1_b84a_a35658cb88cf"/>
            </Restriction>
        </rdfs:subClassOf>
        <rdfs:subClassOf>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_c2d389de_7681_40df_b3e8_00982e1ae1f2"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_931c3eee_c583_4adb_9af9_e0891ea43f2b"/>
            </Restriction>
        </rdfs:subClassOf>
        <rdfs:subClassOf>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_570763f7_9a02_4787_bf15_dea159241d52"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_4a286d0b_f129_4976_be2b_9c7ab71beb24"/>
            </Restriction>
        </rdfs:subClassOf>
        <rdfs:comment xml:lang="en">Article 6.1

Processing of personal data shall be lawful only if and to the extent that at least one of the following applies:
(a) the data subject has given consent to the processing of their personal data for one or more specific purposes;
(b) processing is necessary for the performance of a contract to which the data subject is party or in order to take steps at the request of the data subject prior to entering into a contract;
(c) processing is necessary for compliance with a legal obligation to which the controller is subject;
(d) processing is necessary in order to protect the vital interests of the data subject;
(e) processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller;
(f) processing is necessary for the purposes of the legitimate interests pursued by a controller, except where such interests are overridden by the interests or fundamental rights and freedoms of the data subject which require protection of personal data, in particular where the data subject is a child. This shall not apply to processing carried out by public authorities in the performance of their tasks.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_f993be7a_344f_4fee_9a35_75f1e3b367c5 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_f993be7a_344f_4fee_9a35_75f1e3b367c5">
        <rdfs:label xml:lang="en">LegalJustification</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_7ef6aaee_8d1b_4e22_bee2_f64f4332c477"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_ba7850fa_6664_4b14_91d4_b8307ae8481d"/>
        <rdfs:comment xml:lang="en">Reason to perform the processing which is based on legal grounds, such as an legitimate interest of the data controller.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_fa3d54a9_5ad4_4240_b021_815d980dcda6 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_fa3d54a9_5ad4_4240_b021_815d980dcda6">
        <rdfs:label xml:lang="en">RightToPortability</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_15f536e2_2946_4aca_b996_2615e37e729a"/>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_8fd1b241_6e73_4771_9cf7_4a995dd8311b"/>
        <rdfs:comment xml:lang="en">Article 18

The data subject shall have the right, where personal data are processed by electronic means and in a structured and commonly used format, to obtain from the controller a copy of data undergoing processing in an electronic and structured format which is commonly used and allows for further use by the data subject.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_fccddccc_e1c5_425a_9e67_99ea9c2dfa55 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_fccddccc_e1c5_425a_9e67_99ea9c2dfa55">
        <rdfs:label xml:lang="en">SpecialConsent</rdfs:label>
        <equivalentClass>
            <Restriction>
                <onProperty rdf:resource="http://www.uni.lu/dataprotection#OWLObjectProperty_86442676_0100_49b3_991c_504d7c89a49a"/>
                <someValuesFrom rdf:resource="http://www.uni.lu/dataprotection#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b"/>
            </Restriction>
        </equivalentClass>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_a2ccd29b_a341_4659_919a_977a6a81d4d1"/>
        <rdfs:comment xml:lang="en">Consent given under special circumstances, such as to the processing of personal data of a child or to the processing of sensitive data.</rdfs:comment>
    </Class>
    


    <!-- http://www.uni.lu/dataprotection#OWLClass_fdf49ad5_3967_4c7f_b6dc_e8de56c976b2 -->

    <Class rdf:about="http://www.uni.lu/dataprotection#OWLClass_fdf49ad5_3967_4c7f_b6dc_e8de56c976b2">
        <rdfs:label xml:lang="en">Accuracy</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.uni.lu/dataprotection#OWLClass_b841fd2e_162d_4f1a_8c2c_05dc948e63a0"/>
        <rdfs:comment xml:lang="en">DPH s. 3.3.2

A controller holding personal information shall not use that information without taking steps to ensure with reasonable certainty that the data are accurate and up to date.</rdfs:comment>
    </Class>
    


    <!-- 
    ///////////////////////////////////////////////////////////////////////////////////////
    //
    // Individuals
    //
    ///////////////////////////////////////////////////////////////////////////////////////
     -->

    


    <!-- http://www.uni.lu/dataprotection#OWLNamedIndividual_2f06aa66_4ab7_41c6_9b94_c2cb13e9691f -->

    <NamedIndividual rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_2f06aa66_4ab7_41c6_9b94_c2cb13e9691f">
        <rdf:type rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5"/>
        <rdfs:label xml:lang="en">ReligionData</rdfs:label>
    </NamedIndividual>
    


    <!-- http://www.uni.lu/dataprotection#OWLNamedIndividual_3b3179d7_ab20_45eb_842b_39318f5149a1 -->

    <NamedIndividual rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_3b3179d7_ab20_45eb_842b_39318f5149a1">
        <rdfs:label xml:lang="en">EUTransfer</rdfs:label>
    </NamedIndividual>
    


    <!-- http://www.uni.lu/dataprotection#OWLNamedIndividual_55e57984_3d3c_4ba0_8321_6c74aaf17d36 -->

    <NamedIndividual rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_55e57984_3d3c_4ba0_8321_6c74aaf17d36">
        <rdf:type rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5"/>
        <rdfs:label xml:lang="en">TradeUnionData</rdfs:label>
    </NamedIndividual>
    


    <!-- http://www.uni.lu/dataprotection#OWLNamedIndividual_6ae3b678_a2b2_4193_8f9a_2ccf21a4c8a4 -->

    <NamedIndividual rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_6ae3b678_a2b2_4193_8f9a_2ccf21a4c8a4">
        <rdfs:label xml:lang="en">EURecipient</rdfs:label>
    </NamedIndividual>
    


    <!-- http://www.uni.lu/dataprotection#OWLNamedIndividual_80f23d4a_5825_4858_af79_1c67c5289684 -->

    <NamedIndividual rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_80f23d4a_5825_4858_af79_1c67c5289684">
        <rdf:type rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5"/>
        <rdfs:label xml:lang="en">RacialData</rdfs:label>
    </NamedIndividual>
    


    <!-- http://www.uni.lu/dataprotection#OWLNamedIndividual_8c8d297c_3ff0_46f8_a478_d30c921d18b7 -->

    <NamedIndividual rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_8c8d297c_3ff0_46f8_a478_d30c921d18b7">
        <rdfs:label xml:lang="en">NonEURecipient</rdfs:label>
    </NamedIndividual>
    


    <!-- http://www.uni.lu/dataprotection#OWLNamedIndividual_8de904ed_c312_4b94_8936_21ff4dc59afc -->

    <NamedIndividual rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_8de904ed_c312_4b94_8936_21ff4dc59afc">
        <rdf:type rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5"/>
        <rdfs:label xml:lang="en">SexualData</rdfs:label>
    </NamedIndividual>
    


    <!-- http://www.uni.lu/dataprotection#OWLNamedIndividual_9383a976_2f15_4a41_8d61_e43b5694658f -->

    <NamedIndividual rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_9383a976_2f15_4a41_8d61_e43b5694658f">
        <rdf:type rdf:resource="http://www.uni.lu/dataprotection#OWLClass_b937960f_e255_4bcf_aff6_f362c905a8b8"/>
        <rdfs:label xml:lang="en">ECHRLawfulness</rdfs:label>
    </NamedIndividual>
    


    <!-- http://www.uni.lu/dataprotection#OWLNamedIndividual_9acbc5cb_d89e_4fff_8f42_8992774fd62e -->

    <NamedIndividual rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_9acbc5cb_d89e_4fff_8f42_8992774fd62e">
        <rdfs:label xml:lang="en">NonEUTransfer</rdfs:label>
    </NamedIndividual>
    


    <!-- http://www.uni.lu/dataprotection#OWLNamedIndividual_a91304fc_bb35_41cd_a8f0_8cf07c096e4a -->

    <NamedIndividual rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_a91304fc_bb35_41cd_a8f0_8cf07c096e4a">
        <rdf:type rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5"/>
        <rdfs:label xml:lang="en">HealthcareData</rdfs:label>
    </NamedIndividual>
    


    <!-- http://www.uni.lu/dataprotection#OWLNamedIndividual_ad6121f2_bdc0_4ea7_a67e_372f70b08f9a -->

    <NamedIndividual rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_ad6121f2_bdc0_4ea7_a67e_372f70b08f9a">
        <rdf:type rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5"/>
        <rdfs:label xml:lang="en">BeliefData</rdfs:label>
    </NamedIndividual>
    


    <!-- http://www.uni.lu/dataprotection#OWLNamedIndividual_d54a634e_1259_4078_928b_3a630491f3c3 -->

    <NamedIndividual rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_d54a634e_1259_4078_928b_3a630491f3c3">
        <rdf:type rdf:resource="http://www.uni.lu/dataprotection#OWLClass_b937960f_e255_4bcf_aff6_f362c905a8b8"/>
        <rdfs:label xml:lang="en">CharterLawfulness</rdfs:label>
    </NamedIndividual>
    


    <!-- http://www.uni.lu/dataprotection#OWLNamedIndividual_e572ffb6_feda_492a_83c1_2ab982d3af11 -->

    <NamedIndividual rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_e572ffb6_feda_492a_83c1_2ab982d3af11">
        <rdf:type rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5"/>
        <rdfs:label xml:lang="en">GeneticData</rdfs:label>
    </NamedIndividual>
    


    <!-- http://www.uni.lu/dataprotection#OWLNamedIndividual_f39efa62_7202_46d8_9736_7be3966f2ee4 -->

    <NamedIndividual rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_f39efa62_7202_46d8_9736_7be3966f2ee4">
        <rdf:type rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5"/>
        <rdfs:label xml:lang="en">PoliticalData</rdfs:label>
    </NamedIndividual>
    


    <!-- http://www.uni.lu/dataprotection#OWLNamedIndividual_f7438c24_0ad0_44ee_a402_760d6d3aaa99 -->

    <NamedIndividual rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_f7438c24_0ad0_44ee_a402_760d6d3aaa99">
        <rdf:type rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5"/>
        <rdfs:label xml:lang="en">CriminalData</rdfs:label>
    </NamedIndividual>
    


    <!-- http://www.uni.lu/dataprotection#OWLNamedIndividual_f7d3f3e2_c07d_4ef0_a56b_a99a5af25e6b -->

    <NamedIndividual rdf:about="http://www.uni.lu/dataprotection#OWLNamedIndividual_f7d3f3e2_c07d_4ef0_a56b_a99a5af25e6b">
        <rdf:type rdf:resource="http://www.uni.lu/dataprotection#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5"/>
        <rdfs:label xml:lang="en">BiometricData</rdfs:label>
    </NamedIndividual>
    


    <!-- 
    ///////////////////////////////////////////////////////////////////////////////////////
    //
    // Annotations
    //
    ///////////////////////////////////////////////////////////////////////////////////////
     -->

    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_b79dea85_da38_4371_96dc_30a639826a63">
        <rdfs:label xml:lang="en">broadMatch</rdfs:label>
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    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_c5686ee0_cc44_43c5_9a6a_6ab8920fc3ec">
        <rdfs:label xml:lang="en">closeMatch</rdfs:label>
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    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_3ed8c3e4_2c43_433d_9f65_50e97949d2d2">
        <rdfs:label xml:lang="en">broadMatch</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&dc;contributor">
        <rdfs:label xml:lang="en">Contributor</rdfs:label>
        <terms:issued rdf:datatype="&xsd;date">1999-07-02</terms:issued>
        <terms:modified rdf:datatype="&xsd;date">2008-01-14</terms:modified>
        <skos:note xml:lang="en">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</skos:note>
        <rdfs:comment xml:lang="en">An entity responsible for making contributions to the resource.</rdfs:comment>
        <terms:description xml:lang="en">Examples of a Contributor include a person, an organization, or a service. Typically, the name of a Contributor should be used to indicate the entity.</terms:description>
        <terms:hasVersion rdf:resource="http://dublincore.org/usage/terms/history/#contributor-006"/>
        <rdfs:isDefinedBy rdf:resource="http://purl.org/dc/elements/1.1/"/>
    </rdf:Description>
    <rdf:Description rdf:about="&xsd;OWLDatatypeImpl_7c27e6b5_f4d1_4113_9831_bf9431834ff0">
        <rdfs:label xml:lang="en">date</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&terms;OWLAnnotationPropertyImpl_f8098115_1cfa_4ef6_836a_aafff9252f73">
        <rdfs:label xml:lang="en">issued</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&dc;title">
        <rdfs:label xml:lang="en">Title</rdfs:label>
        <terms:issued rdf:datatype="&xsd;date">1999-07-02</terms:issued>
        <terms:modified rdf:datatype="&xsd;date">2008-01-14</terms:modified>
        <rdfs:comment xml:lang="en">A name given to the resource.</rdfs:comment>
        <skos:note xml:lang="en">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</skos:note>
        <terms:hasVersion rdf:resource="http://dublincore.org/usage/terms/history/#title-006"/>
        <rdfs:isDefinedBy rdf:resource="http://purl.org/dc/elements/1.1/"/>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_1fa18f57_a790_40e8_aff1_a6c6867fce1d">
        <rdfs:label xml:lang="en">closeMatch</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&dc;coverage">
        <rdfs:label xml:lang="en">Coverage</rdfs:label>
        <terms:issued rdf:datatype="&xsd;date">1999-07-02</terms:issued>
        <terms:modified rdf:datatype="&xsd;date">2008-01-14</terms:modified>
        <skos:note xml:lang="en">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</skos:note>
        <terms:description xml:lang="en">Spatial topic and spatial applicability may be a named place or a location specified by its geographic coordinates. Temporal topic may be a named period, date, or date range. A jurisdiction may be a named administrative entity or a geographic place to which the resource applies. Recommended best practice is to use a controlled vocabulary such as the Thesaurus of Geographic Names [TGN]. Where appropriate, named places or time periods can be used in preference to numeric identifiers such as sets of coordinates or date ranges.</terms:description>
        <rdfs:comment xml:lang="en">The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant.</rdfs:comment>
        <terms:hasVersion rdf:resource="http://dublincore.org/usage/terms/history/#coverage-006"/>
        <rdfs:isDefinedBy rdf:resource="http://purl.org/dc/elements/1.1/"/>
    </rdf:Description>
    <rdf:Description rdf:about="&terms;OWLAnnotationPropertyImpl_6484f224_f4f8_4a07_a482_826fe83cbd44">
        <rdfs:label xml:lang="en">hasVersion</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_e74ebdb2_a910_41a0_969c_e935d0ffc343">
        <rdfs:label xml:lang="en">broadMatch</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&dc;description">
        <rdfs:label xml:lang="en">Description</rdfs:label>
        <terms:issued rdf:datatype="&xsd;date">1999-07-02</terms:issued>
        <terms:modified rdf:datatype="&xsd;date">2008-01-14</terms:modified>
        <skos:note xml:lang="en">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</skos:note>
        <rdfs:comment xml:lang="en">An account of the resource.</rdfs:comment>
        <terms:description xml:lang="en">Description may include but is not limited to: an abstract, a table of contents, a graphical representation, or a free-text account of the resource.</terms:description>
        <terms:hasVersion rdf:resource="http://dublincore.org/usage/terms/history/#description-006"/>
        <rdfs:isDefinedBy rdf:resource="http://purl.org/dc/elements/1.1/"/>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_fa87fc96_35fe_461f_81e5_078e57b36db0">
        <rdfs:label xml:lang="en">note</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&dc;creator">
        <rdfs:label xml:lang="en">Creator</rdfs:label>
        <terms:issued rdf:datatype="&xsd;date">1999-07-02</terms:issued>
        <terms:modified rdf:datatype="&xsd;date">2008-01-14</terms:modified>
        <skos:note xml:lang="en">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</skos:note>
        <rdfs:comment xml:lang="en">An entity primarily responsible for making the resource.</rdfs:comment>
        <terms:description xml:lang="en">Examples of a Creator include a person, an organization, or a service. Typically, the name of a Creator should be used to indicate the entity.</terms:description>
        <terms:hasVersion rdf:resource="http://dublincore.org/usage/terms/history/#creator-006"/>
        <rdfs:isDefinedBy rdf:resource="http://purl.org/dc/elements/1.1/"/>
    </rdf:Description>
    <rdf:Description rdf:about="&terms;OWLAnnotationPropertyImpl_094d13a0_a651_46ab_b8a7_47dcb7dfa1bf">
        <rdfs:label xml:lang="en">title</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_711a0657_ad17_4cc2_a4a4_7ab3e31d9fe9">
        <rdfs:label xml:lang="en">closeMatch</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_ae522acd_b4c3_4dff_bb8e_9fb5565e241b">
        <rdfs:label xml:lang="en">exactMatch</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&terms;OWLAnnotationPropertyImpl_21550cd8_2fc0_4dfb_b77d_ff4ba1e9429d">
        <rdfs:label xml:lang="en">hasVersion</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&dc;publisher">
        <rdfs:label xml:lang="en">Publisher</rdfs:label>
        <terms:issued rdf:datatype="&xsd;date">1999-07-02</terms:issued>
        <terms:modified rdf:datatype="&xsd;date">2008-01-14</terms:modified>
        <skos:note xml:lang="en">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</skos:note>
        <rdfs:comment xml:lang="en">An entity responsible for making the resource available.</rdfs:comment>
        <terms:description xml:lang="en">Examples of a Publisher include a person, an organization, or a service. Typically, the name of a Publisher should be used to indicate the entity.</terms:description>
        <terms:hasVersion rdf:resource="http://dublincore.org/usage/terms/history/#publisher-006"/>
        <rdfs:isDefinedBy rdf:resource="http://purl.org/dc/elements/1.1/"/>
    </rdf:Description>
    <rdf:Description rdf:about="&xsd;OWLDatatypeImpl_9008e7cb_da51_4d30_b7fb_63978d2d9e63">
        <rdfs:label xml:lang="en">date</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&terms;OWLAnnotationPropertyImpl_acd6846e_699d_4935_8f24_a67c94c61ee2">
        <rdfs:label xml:lang="en">description</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&dc;date">
        <rdfs:label xml:lang="en">Date</rdfs:label>
        <terms:issued rdf:datatype="&xsd;date">1999-07-02</terms:issued>
        <terms:modified rdf:datatype="&xsd;date">2008-01-14</terms:modified>
        <rdfs:comment xml:lang="en">A point or period of time associated with an event in the lifecycle of the resource.</rdfs:comment>
        <skos:note xml:lang="en">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</skos:note>
        <terms:description xml:lang="en">Date may be used to express temporal information at any level of granularity.  Recommended best practice is to use an encoding scheme, such as the W3CDTF profile of ISO 8601 [W3CDTF].</terms:description>
        <terms:hasVersion rdf:resource="http://dublincore.org/usage/terms/history/#date-006"/>
        <rdfs:isDefinedBy rdf:resource="http://purl.org/dc/elements/1.1/"/>
    </rdf:Description>
    <rdf:Description rdf:about="&dc;subject">
        <rdfs:label xml:lang="en">Subject</rdfs:label>
        <terms:issued rdf:datatype="&xsd;date">1999-07-02</terms:issued>
        <terms:modified rdf:datatype="&xsd;date">2012-06-14</terms:modified>
        <skos:note xml:lang="en">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</skos:note>
        <rdfs:comment xml:lang="en">The topic of the resource.</rdfs:comment>
        <terms:description xml:lang="en">Typically, the subject will be represented using keywords, key phrases, or classification codes. Recommended best practice is to use a controlled vocabulary.</terms:description>
        <terms:hasVersion rdf:resource="http://dublincore.org/usage/terms/history/#subject-007"/>
        <rdfs:isDefinedBy rdf:resource="http://purl.org/dc/elements/1.1/"/>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_40db4dea_1f00_4cdc_8c2c_e0b261b4b818">
        <rdfs:label xml:lang="en">exactMatch</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_f0470b65_d715_4fa8_a03f_3e48d32d3a26">
        <rdfs:label xml:lang="en">broaderTransitive</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&dc;format">
        <rdfs:label xml:lang="en">Format</rdfs:label>
        <terms:issued rdf:datatype="&xsd;date">1999-07-02</terms:issued>
        <terms:modified rdf:datatype="&xsd;date">2008-01-14</terms:modified>
        <skos:note xml:lang="en">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</skos:note>
        <terms:description xml:lang="en">Examples of dimensions include size and duration. Recommended best practice is to use a controlled vocabulary such as the list of Internet Media Types [MIME].</terms:description>
        <rdfs:comment xml:lang="en">The file format, physical medium, or dimensions of the resource.</rdfs:comment>
        <terms:hasVersion rdf:resource="http://dublincore.org/usage/terms/history/#format-007"/>
        <rdfs:isDefinedBy rdf:resource="http://purl.org/dc/elements/1.1/"/>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_38110948_dcd5_49af_922f_30825fe9be37">
        <rdfs:label xml:lang="en">broaderTransitive</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&terms;OWLAnnotationPropertyImpl_d9c73075_acd8_4732_bff4_91367fea6a54">
        <rdfs:label xml:lang="en">modified</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&dc;relation">
        <rdfs:label xml:lang="en">Relation</rdfs:label>
        <terms:issued rdf:datatype="&xsd;date">1999-07-02</terms:issued>
        <terms:modified rdf:datatype="&xsd;date">2008-01-14</terms:modified>
        <rdfs:comment xml:lang="en">A related resource.</rdfs:comment>
        <skos:note xml:lang="en">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</skos:note>
        <terms:description xml:lang="en">Recommended best practice is to identify the related resource by means of a string conforming to a formal identification system. </terms:description>
        <terms:hasVersion rdf:resource="http://dublincore.org/usage/terms/history/#relation-006"/>
        <rdfs:isDefinedBy rdf:resource="http://purl.org/dc/elements/1.1/"/>
    </rdf:Description>
    <rdf:Description rdf:about="&dc;source">
        <rdfs:label xml:lang="en">Source</rdfs:label>
        <terms:issued rdf:datatype="&xsd;date">1999-07-02</terms:issued>
        <terms:modified rdf:datatype="&xsd;date">2008-01-14</terms:modified>
        <rdfs:comment xml:lang="en">A related resource from which the described resource is derived.</rdfs:comment>
        <skos:note xml:lang="en">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</skos:note>
        <terms:description xml:lang="en">The described resource may be derived from the related resource in whole or in part. Recommended best practice is to identify the related resource by means of a string conforming to a formal identification system.</terms:description>
        <terms:hasVersion rdf:resource="http://dublincore.org/usage/terms/history/#source-006"/>
        <rdfs:isDefinedBy rdf:resource="http://purl.org/dc/elements/1.1/"/>
    </rdf:Description>
    <rdf:Description rdf:about="&dc;language">
        <rdfs:label xml:lang="en">Language</rdfs:label>
        <terms:issued rdf:datatype="&xsd;date">1999-07-02</terms:issued>
        <terms:modified rdf:datatype="&xsd;date">2008-01-14</terms:modified>
        <rdfs:comment xml:lang="en">A language of the resource.</rdfs:comment>
        <skos:note xml:lang="en">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</skos:note>
        <terms:description xml:lang="en">Recommended best practice is to use a controlled vocabulary such as RFC 4646 [RFC4646].</terms:description>
        <terms:hasVersion rdf:resource="http://dublincore.org/usage/terms/history/#language-007"/>
        <rdfs:isDefinedBy rdf:resource="http://purl.org/dc/elements/1.1/"/>
        <rdfs:seeAlso rdf:resource="http://www.ietf.org/rfc/rfc4646.txt"/>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_e64a6883_ac97_40d6_b82d_8f68134fe756">
        <rdfs:label xml:lang="en">broadMatch</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&terms;OWLAnnotationPropertyImpl_f7bc73c6_9706_48d7_b53b_bc253d6d58b1">
        <rdfs:label xml:lang="en">description</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="http://purl.org/dc/elements/1.1/">
        <terms:modified rdf:datatype="&xsd;date">2012-06-14</terms:modified>
        <terms:title xml:lang="en">Dublin Core Metadata Element Set, Version 1.1</terms:title>
        <terms:publisher rdf:resource="http://purl.org/dc/aboutdcmi#DCMI"/>
    </rdf:Description>
    <rdf:Description rdf:about="&dc;type">
        <rdfs:label xml:lang="en">Type</rdfs:label>
        <terms:issued rdf:datatype="&xsd;date">1999-07-02</terms:issued>
        <terms:modified rdf:datatype="&xsd;date">2008-01-14</terms:modified>
        <skos:note xml:lang="en">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</skos:note>
        <terms:description xml:lang="en">Recommended best practice is to use a controlled vocabulary such as the DCMI Type Vocabulary [DCMITYPE]. To describe the file format, physical medium, or dimensions of the resource, use the Format element.</terms:description>
        <rdfs:comment xml:lang="en">The nature or genre of the resource.</rdfs:comment>
        <terms:hasVersion rdf:resource="http://dublincore.org/usage/terms/history/#type-006"/>
        <rdfs:isDefinedBy rdf:resource="http://purl.org/dc/elements/1.1/"/>
    </rdf:Description>
    <rdf:Description rdf:about="&dc;identifier">
        <rdfs:label xml:lang="en">Identifier</rdfs:label>
        <terms:issued rdf:datatype="&xsd;date">1999-07-02</terms:issued>
        <terms:modified rdf:datatype="&xsd;date">2008-01-14</terms:modified>
        <skos:note xml:lang="en">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</skos:note>
        <rdfs:comment xml:lang="en">An unambiguous reference to the resource within a given context.</rdfs:comment>
        <terms:description xml:lang="en">Recommended best practice is to identify the resource by means of a string conforming to a formal identification system. </terms:description>
        <terms:hasVersion rdf:resource="http://dublincore.org/usage/terms/history/#identifier-006"/>
        <rdfs:isDefinedBy rdf:resource="http://purl.org/dc/elements/1.1/"/>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_7a410669_92a6_4856_bdac_587b87b50592">
        <rdfs:label xml:lang="en">exactMatch</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&terms;OWLAnnotationPropertyImpl_76987ca1_c69f_4650_88b1_b285af3b2c38">
        <rdfs:label xml:lang="en">modified</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_516a3db6_58db_47e7_8141_323dd51a05d0">
        <rdfs:label xml:lang="en">broadMatch</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&terms;OWLAnnotationPropertyImpl_87e29aff_89c9_4baa_91fc_88d476659b44">
        <rdfs:label xml:lang="en">issued</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_87608b6e_854c_44fc_9546_1d090053b511">
        <rdfs:label xml:lang="en">broaderTransitive</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_08c1407d_ec6c_4b17_8edf_4abb17f039cb">
        <rdfs:label xml:lang="en">closeMatch</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_23de5b25_d99d_4053_8491_90ac4f1b01f9">
        <rdfs:label xml:lang="en">note</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_5da093f8_3d86_4481_b13f_bfb4f4ca603e">
        <rdfs:label xml:lang="en">closeMatch</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_d5664569_69fe_4586_b6af_7b6c11c4e26a">
        <rdfs:label xml:lang="en">broaderTransitive</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_2890e030_22b0_4257_9668_d20f259a369b">
        <rdfs:label xml:lang="en">exactMatch</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&terms;OWLAnnotationPropertyImpl_5e0543e5_f52b_4e59_bc14_3abe0452b009">
        <rdfs:label xml:lang="en">publisher</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_80ac4966_b94b_447e_9a9f_4dbff877fd89">
        <rdfs:label xml:lang="en">closeMatch</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&terms;OWLAnnotationPropertyImpl_242990ac_580d_4bd6_a814_1d136830b4e3">
        <rdfs:label xml:lang="en">title</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&terms;OWLAnnotationPropertyImpl_417511b0_2394_41dd_a770_4bbd6d5b9d58">
        <rdfs:label xml:lang="en">publisher</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_b8cc2e2d_f9ef_40ef_9107_4b247d7787b8">
        <rdfs:label xml:lang="en">broadMatch</rdfs:label>
    </rdf:Description>
    <rdf:Description rdf:about="&skos;OWLAnnotationPropertyImpl_3617d7e2_276e_4ead_8ab6_765572cf6007">
        <rdfs:label xml:lang="en">note</rdfs:label>
    </rdf:Description>
    


    <!-- 
    ///////////////////////////////////////////////////////////////////////////////////////
    //
    // General axioms
    //
    ///////////////////////////////////////////////////////////////////////////////////////
     -->

    <rdf:Description>
        <rdf:type rdf:resource="&owl;AllDisjointClasses"/>
        <members rdf:parseType="Collection">
            <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLClass_3c993f72_4546_4509_b66b_425999f0118d"/>
            <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLClass_70533b01_01ad_4c16_92d7_d37ff183d561"/>
            <rdf:Description rdf:about="http://www.uni.lu/dataprotection#OWLClass_bfbcc9ac_862a_454f_8a67_a52f688d75ca"/>
        </members>
    </rdf:Description>
</rdf:RDF>

```

<?xml version="1.0"?>


<!DOCTYPE Ontology [
    <!ENTITY xsd "http://www.w3.org/2001/XMLSchema#" >
    <!ENTITY xml "http://www.w3.org/XML/1998/namespace" >
    <!ENTITY rdfs "http://www.w3.org/2000/01/rdf-schema#" >
    <!ENTITY rdf "http://www.w3.org/1999/02/22-rdf-syntax-ns#" >
]>


<Ontology xmlns="http://www.w3.org/2002/07/owl#"
     xml:base="http://www.uni.lu/dataprotection"
     xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
     xmlns:xml="http://www.w3.org/XML/1998/namespace"
     xmlns:xsd="http://www.w3.org/2001/XMLSchema#"
     xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#"
     ontologyIRI="http://www.uni.lu/dataprotection">
    <Prefix name="" IRI="http://www.w3.org/2002/07/owl#"/>
    <Prefix name="dc" IRI="http://purl.org/dc/elements/1.1/"/>
    <Prefix name="owl" IRI="http://www.w3.org/2002/07/owl#"/>
    <Prefix name="rdf" IRI="http://www.w3.org/1999/02/22-rdf-syntax-ns#"/>
    <Prefix name="xsd" IRI="http://www.w3.org/2001/XMLSchema#"/>
    <Prefix name="rdfs" IRI="http://www.w3.org/2000/01/rdf-schema#"/>
    <Prefix name="skos" IRI="http://www.w3.org/TR/skos-reference#"/>
    <Prefix name="terms" IRI="http://purl.org/dc/terms/"/>
    <Annotation>
        <AnnotationProperty abbreviatedIRI="dc:rights"/>
        <Literal datatypeIRI="&rdf;PlainLiteral">This work is distributed under a Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/).</Literal>
    </Annotation>
    <Declaration>
        <Class IRI="#OWLClassImpl_58cf8e1b_e912_4f83_bdbe_0214e093bd4c"/>
    </Declaration>
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        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</Literal>
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        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:hasVersion"/>
        <AbbreviatedIRI>dc:format</AbbreviatedIRI>
        <IRI>http://dublincore.org/usage/terms/history/#format-007</IRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:issued"/>
        <AbbreviatedIRI>dc:format</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">1999-07-02</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:modified"/>
        <AbbreviatedIRI>dc:format</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">2008-01-14</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <AbbreviatedIRI>dc:format</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">The file format, physical medium, or dimensions of the resource.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:isDefinedBy"/>
        <AbbreviatedIRI>dc:format</AbbreviatedIRI>
        <AbbreviatedIRI>dc:</AbbreviatedIRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>dc:format</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Format</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="skos:note"/>
        <AbbreviatedIRI>dc:format</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:description"/>
        <AbbreviatedIRI>dc:identifier</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Recommended best practice is to identify the resource by means of a string conforming to a formal identification system. </Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:hasVersion"/>
        <AbbreviatedIRI>dc:identifier</AbbreviatedIRI>
        <IRI>http://dublincore.org/usage/terms/history/#identifier-006</IRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:issued"/>
        <AbbreviatedIRI>dc:identifier</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">1999-07-02</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:modified"/>
        <AbbreviatedIRI>dc:identifier</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">2008-01-14</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <AbbreviatedIRI>dc:identifier</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">An unambiguous reference to the resource within a given context.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:isDefinedBy"/>
        <AbbreviatedIRI>dc:identifier</AbbreviatedIRI>
        <AbbreviatedIRI>dc:</AbbreviatedIRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>dc:identifier</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Identifier</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="skos:note"/>
        <AbbreviatedIRI>dc:identifier</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:description"/>
        <AbbreviatedIRI>dc:language</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Recommended best practice is to use a controlled vocabulary such as RFC 4646 [RFC4646].</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:hasVersion"/>
        <AbbreviatedIRI>dc:language</AbbreviatedIRI>
        <IRI>http://dublincore.org/usage/terms/history/#language-007</IRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:issued"/>
        <AbbreviatedIRI>dc:language</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">1999-07-02</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:modified"/>
        <AbbreviatedIRI>dc:language</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">2008-01-14</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <AbbreviatedIRI>dc:language</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A language of the resource.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:isDefinedBy"/>
        <AbbreviatedIRI>dc:language</AbbreviatedIRI>
        <AbbreviatedIRI>dc:</AbbreviatedIRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>dc:language</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Language</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:seeAlso"/>
        <AbbreviatedIRI>dc:language</AbbreviatedIRI>
        <IRI>http://www.ietf.org/rfc/rfc4646.txt</IRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="skos:note"/>
        <AbbreviatedIRI>dc:language</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:description"/>
        <AbbreviatedIRI>dc:publisher</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Examples of a Publisher include a person, an organization, or a service. Typically, the name of a Publisher should be used to indicate the entity.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:hasVersion"/>
        <AbbreviatedIRI>dc:publisher</AbbreviatedIRI>
        <IRI>http://dublincore.org/usage/terms/history/#publisher-006</IRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:issued"/>
        <AbbreviatedIRI>dc:publisher</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">1999-07-02</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:modified"/>
        <AbbreviatedIRI>dc:publisher</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">2008-01-14</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <AbbreviatedIRI>dc:publisher</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">An entity responsible for making the resource available.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:isDefinedBy"/>
        <AbbreviatedIRI>dc:publisher</AbbreviatedIRI>
        <AbbreviatedIRI>dc:</AbbreviatedIRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>dc:publisher</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Publisher</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="skos:note"/>
        <AbbreviatedIRI>dc:publisher</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:description"/>
        <AbbreviatedIRI>dc:relation</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Recommended best practice is to identify the related resource by means of a string conforming to a formal identification system. </Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:hasVersion"/>
        <AbbreviatedIRI>dc:relation</AbbreviatedIRI>
        <IRI>http://dublincore.org/usage/terms/history/#relation-006</IRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:issued"/>
        <AbbreviatedIRI>dc:relation</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">1999-07-02</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:modified"/>
        <AbbreviatedIRI>dc:relation</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">2008-01-14</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <AbbreviatedIRI>dc:relation</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A related resource.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:isDefinedBy"/>
        <AbbreviatedIRI>dc:relation</AbbreviatedIRI>
        <AbbreviatedIRI>dc:</AbbreviatedIRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>dc:relation</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Relation</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="skos:note"/>
        <AbbreviatedIRI>dc:relation</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:description"/>
        <AbbreviatedIRI>dc:rights</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Typically, rights information includes a statement about various property rights associated with the resource, including intellectual property rights.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:hasVersion"/>
        <AbbreviatedIRI>dc:rights</AbbreviatedIRI>
        <IRI>http://dublincore.org/usage/terms/history/#rights-006</IRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:issued"/>
        <AbbreviatedIRI>dc:rights</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">1999-07-02</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:modified"/>
        <AbbreviatedIRI>dc:rights</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">2008-01-14</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <AbbreviatedIRI>dc:rights</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Information about rights held in and over the resource.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:isDefinedBy"/>
        <AbbreviatedIRI>dc:rights</AbbreviatedIRI>
        <AbbreviatedIRI>dc:</AbbreviatedIRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>dc:rights</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Rights</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="skos:note"/>
        <AbbreviatedIRI>dc:rights</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:description"/>
        <AbbreviatedIRI>dc:source</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">The described resource may be derived from the related resource in whole or in part. Recommended best practice is to identify the related resource by means of a string conforming to a formal identification system.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:hasVersion"/>
        <AbbreviatedIRI>dc:source</AbbreviatedIRI>
        <IRI>http://dublincore.org/usage/terms/history/#source-006</IRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:issued"/>
        <AbbreviatedIRI>dc:source</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">1999-07-02</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:modified"/>
        <AbbreviatedIRI>dc:source</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">2008-01-14</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <AbbreviatedIRI>dc:source</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A related resource from which the described resource is derived.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:isDefinedBy"/>
        <AbbreviatedIRI>dc:source</AbbreviatedIRI>
        <AbbreviatedIRI>dc:</AbbreviatedIRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>dc:source</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Source</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="skos:note"/>
        <AbbreviatedIRI>dc:source</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:description"/>
        <AbbreviatedIRI>dc:subject</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Typically, the subject will be represented using keywords, key phrases, or classification codes. Recommended best practice is to use a controlled vocabulary.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:hasVersion"/>
        <AbbreviatedIRI>dc:subject</AbbreviatedIRI>
        <IRI>http://dublincore.org/usage/terms/history/#subject-007</IRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:issued"/>
        <AbbreviatedIRI>dc:subject</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">1999-07-02</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:modified"/>
        <AbbreviatedIRI>dc:subject</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">2012-06-14</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <AbbreviatedIRI>dc:subject</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">The topic of the resource.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:isDefinedBy"/>
        <AbbreviatedIRI>dc:subject</AbbreviatedIRI>
        <AbbreviatedIRI>dc:</AbbreviatedIRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>dc:subject</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Subject</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="skos:note"/>
        <AbbreviatedIRI>dc:subject</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:hasVersion"/>
        <AbbreviatedIRI>dc:title</AbbreviatedIRI>
        <IRI>http://dublincore.org/usage/terms/history/#title-006</IRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:issued"/>
        <AbbreviatedIRI>dc:title</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">1999-07-02</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:modified"/>
        <AbbreviatedIRI>dc:title</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">2008-01-14</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <AbbreviatedIRI>dc:title</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A name given to the resource.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:isDefinedBy"/>
        <AbbreviatedIRI>dc:title</AbbreviatedIRI>
        <AbbreviatedIRI>dc:</AbbreviatedIRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>dc:title</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Title</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="skos:note"/>
        <AbbreviatedIRI>dc:title</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:description"/>
        <AbbreviatedIRI>dc:type</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Recommended best practice is to use a controlled vocabulary such as the DCMI Type Vocabulary [DCMITYPE]. To describe the file format, physical medium, or dimensions of the resource, use the Format element.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:hasVersion"/>
        <AbbreviatedIRI>dc:type</AbbreviatedIRI>
        <IRI>http://dublincore.org/usage/terms/history/#type-006</IRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:issued"/>
        <AbbreviatedIRI>dc:type</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">1999-07-02</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="terms:modified"/>
        <AbbreviatedIRI>dc:type</AbbreviatedIRI>
        <Literal datatypeIRI="&xsd;date">2008-01-14</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <AbbreviatedIRI>dc:type</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">The nature or genre of the resource.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:isDefinedBy"/>
        <AbbreviatedIRI>dc:type</AbbreviatedIRI>
        <AbbreviatedIRI>dc:</AbbreviatedIRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>dc:type</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Type</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="skos:note"/>
        <AbbreviatedIRI>dc:type</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A second property with the same name as this property has been declared in the dcterms: namespace (http://purl.org/dc/terms/).  See the Introduction to the document &quot;DCMI Metadata Terms&quot; (http://dublincore.org/documents/dcmi-terms/) for an explanation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>terms:OWLAnnotationPropertyImpl_094d13a0_a651_46ab_b8a7_47dcb7dfa1bf</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">title</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>terms:OWLAnnotationPropertyImpl_21550cd8_2fc0_4dfb_b77d_ff4ba1e9429d</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">hasVersion</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>terms:OWLAnnotationPropertyImpl_242990ac_580d_4bd6_a814_1d136830b4e3</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">title</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>terms:OWLAnnotationPropertyImpl_417511b0_2394_41dd_a770_4bbd6d5b9d58</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">publisher</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>terms:OWLAnnotationPropertyImpl_5e0543e5_f52b_4e59_bc14_3abe0452b009</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">publisher</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>terms:OWLAnnotationPropertyImpl_6484f224_f4f8_4a07_a482_826fe83cbd44</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">hasVersion</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>terms:OWLAnnotationPropertyImpl_76987ca1_c69f_4650_88b1_b285af3b2c38</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">modified</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>terms:OWLAnnotationPropertyImpl_87e29aff_89c9_4baa_91fc_88d476659b44</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">issued</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>terms:OWLAnnotationPropertyImpl_acd6846e_699d_4935_8f24_a67c94c61ee2</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">description</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>terms:OWLAnnotationPropertyImpl_d9c73075_acd8_4732_bff4_91367fea6a54</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">modified</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>terms:OWLAnnotationPropertyImpl_f7bc73c6_9706_48d7_b53b_bc253d6d58b1</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">description</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <AbbreviatedIRI>terms:OWLAnnotationPropertyImpl_f8098115_1cfa_4ef6_836a_aafff9252f73</AbbreviatedIRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">issued</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClassImpl_58cf8e1b_e912_4f83_bdbe_0214e093bd4c</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Action</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_02b07422_386e_4a70_8c4a_c2534b513fb5</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 6.1(b)

Processing that is necessary for the performance of a contract to which the data
subject is party or in order to take steps at the request of the data subject prior
to entering into a contract.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_02b07422_386e_4a70_8c4a_c2534b513fb5</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">ContractualProcessing</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_059044e8_58f0_4cd8_8014_8c5babe12c7d</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 20.1

Automated processing intended to evaluate certain personal aspects relating to this natural person or to analyse or predict in particular the natural person&apos;s performance at work, economic situation, location, health, personal preferences, reliability or behaviour.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_059044e8_58f0_4cd8_8014_8c5babe12c7d</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Profiling</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_06a52543_55ee_4037_8370_dd56a165fe70</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Rule that applies only to the transfer of personal data.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_06a52543_55ee_4037_8370_dd56a165fe70</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">TransferRule</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 4(3)

Any operation or set of operations which is performed upon personal data or sets of personal data, whether or not by automated means, such as collection, recording, organization, structuring, storage, adaptation or alteration, retrieval, consultation, use, disclosure by transmission, dissemination or otherwise making available, alignment or combination, erasure or destruction.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_080c5ed8_aa3c_4bfd_af54_dc6e2a546d8b</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DataProcessing</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_0b2f9b8c_8e60_4b1a_9471_9ce55bf73ae4</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Interest concerning the life or health of a subject.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_0b2f9b8c_8e60_4b1a_9471_9ce55bf73ae4</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">VitalInterest</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_12ed2171_63ca_4d47_afcd_b6721ac351a9</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A recipient not located within the European Union and not subject to the Regulation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_12ed2171_63ca_4d47_afcd_b6721ac351a9</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">NonEURecipient</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_12f8d2e4_932c_44b2_a152_7fb6fe4d7e7c</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 15.2

The request to obtain from the controller communication of the personal data undergoing processing. Where the data subject makes the request in electronic form, the information shall be provided in electronic form, unless otherwise requested by the data subject.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_12f8d2e4_932c_44b2_a152_7fb6fe4d7e7c</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Access</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_15f536e2_2946_4aca_b996_2615e37e729a</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DPH s. 3.4.2

Controllers should document, to data subjects and to the general public, that they will process data in a lawful and transparent manner. Processing operations must not be performed in secret and should not have unforeseeable negative effects. Controllers should ensure that customers, clients or citizens are informed about the use of their data. Further, controllers, so far as possible, must act in a way which promptly complies with the wishes of the data subject, especially where his or her consent forms the legal basis for the data processing.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_15f536e2_2946_4aca_b996_2615e37e729a</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Trust</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_1d2f3df4_e138_45ec_8434_0705d94b1c18</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">The request to obtain from the controller the erasure of personal data relating to them and the abstention from further dissemination of such data.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_1d2f3df4_e138_45ec_8434_0705d94b1c18</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Erasure</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_1dcad2a0_486a_4f14_8b0e_1b9e521f738e</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 6.1(d)

Processing that is necessary in order to protect the vital interests of the data subject.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_1dcad2a0_486a_4f14_8b0e_1b9e521f738e</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">VitalProcessing</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_2023c585_fdec_4229_8951_24f6d4639634</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Binding instrument to establish a legal relationship between two or more parties.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_2023c585_fdec_4229_8951_24f6d4639634</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Contract</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_21b029c0_43d8_4ee4_aa3f_c8b91b33974f</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DPH s. 3.3.1

Only such data shall be processed as are &quot;adequate, relevant and not excessive in relation to the purpose for which they are collected and/or further processed&quot;. The categories of data chosen for processing must be necessary in order to achieve the declared overall aim of the processing operations, and a controller should strictly limit collection of data to such information as is directly relevant for the specific purpose pursued by the processing.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_21b029c0_43d8_4ee4_aa3f_c8b91b33974f</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Relevancy</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_25b9b478_c602_4073_a790_6374ba384b42</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">The actual reason for which the processing is performed. The processing is lawful if one of the lawfulness conditions apply. The lawfulness conditions have a twofold meaning:
- they represent the legal grounds that make the processing lawful. This is an application of the lawfulness principle;
- they define the boundaries within which the processing is allowed. This is an application of the principle of purpose limitation.

The combination of these two facets makes up the processing scope.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_25b9b478_c602_4073_a790_6374ba384b42</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">ProcessingScope</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_27535d61_8d2c_4e2c_96bd_cabd05c9149a</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 4(14)

Any natural or legal person established in the Union who, explicitly designated by the controller, acts and may be addressed by any supervisory authority and other bodies in the Union instead of the controller, with regard to the obligations of the controller under this Regulation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_27535d61_8d2c_4e2c_96bd_cabd05c9149a</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Representative</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_28125d88_ca58_40fb_bedf_8b05cc85a4ec</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Security measures that concern the organization of the controller or processor, including the division of roles and limited access rights.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_28125d88_ca58_40fb_bedf_8b05cc85a4ec</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">OrganisationalMeasures</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_29c82d22_60ee_4d6c_a0a3_791432cc5481</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 6.1(c)

Processing that is necessary for compliance with a legal obligation to which the controller is subject.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_29c82d22_60ee_4d6c_a0a3_791432cc5481</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">ObligatedProcessing</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_2da92369_af57_4fc1_b84a_a35658cb88cf</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 19.1

The data subject shall have the right to object, on grounds relating to their particular situation, at any time to the processing of personal data which is based on points (d), (e) and (f) of Article 6(1), unless the controller demonstrates compelling legitimate grounds for the processing which override the interests or fundamental rights and freedoms of the data subject.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_2da92369_af57_4fc1_b84a_a35658cb88cf</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">RightToObject</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_301e1bec_ae1a_4601_9bea_a35fe79e4ea3</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Any processing that is not based upon the explicit consent of the data subject.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_301e1bec_ae1a_4601_9bea_a35fe79e4ea3</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">RequiredProcessing</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_31ba96e6_a8e7_4d61_9af2_25280e70bb8f</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 30.1

The controller and the processor shall implement appropriate technical and organisational measures to ensure a level of security appropriate to the risks represented by the processing and the nature of the personal data to be protected, having regard to the state of the art and the costs of their implementation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_31ba96e6_a8e7_4d61_9af2_25280e70bb8f</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Security</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_336f5c83_c4cc_4889_8cbc_2c07562155a2</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 40

Any transfer of personal data which are undergoing processing or are intended for processing after transfer to a third country or to an international organisation may only take place if, subject to the other provisions of this Regulation, the conditions laid down in Chapter V are complied with by the controller and processor, including for onward transfers of personal data from the third country or an international organisation to another third country or to another international organisation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_336f5c83_c4cc_4889_8cbc_2c07562155a2</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">LawfulTransfer</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_37cc24cc_e8cc_4ac2_8594_7aa5cc97f129</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">The means by which the controller and the processor tries to avoid data breaches.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_37cc24cc_e8cc_4ac2_8594_7aa5cc97f129</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Measures</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_38c37e49_92a4_4bbc_9780_9eed89158298</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Personal data should be collected only when, and to the extent to which, a given purpose cannot be reached without using anonymous or statistical data or data that do not allow identification of the data subject.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_38c37e49_92a4_4bbc_9780_9eed89158298</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DataMinimization</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_3c5113eb_0923_4946_86cf_f5a83de7f9bb</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 4(6)

A natural or legal person, public authority, agency or any other body which processes personal data on behalf of the controller.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_3c5113eb_0923_4946_86cf_f5a83de7f9bb</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Processor</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_3c993f72_4546_4509_b66b_425999f0118d</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 42.1

Where the Commission has taken no decision pursuant to Article 41, a controller or processor may transfer personal data to a third country or an international organisation only if the controller or processor has adduced appropriate safeguards with respect to the protection of personal data in a legally binding instrument.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_3c993f72_4546_4509_b66b_425999f0118d</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">AppropriateSafeguards</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_411a42e7_c0a2_483e_b2ce_ebc85160fe33</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Security measures introduced in the technical infrastructure of the controller or processor, such as secure protocols, access control systems or encryption.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_411a42e7_c0a2_483e_b2ce_ebc85160fe33</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">TechnicalMeasures</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_413e4c1b_7d3b_4fc1_98c0_b782b533aae8</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 4(5)

the natural or legal person, public authority, agency or any other body which alone or jointly with others determines the purposes, conditions and means of the processing of personal data; where the purposes, conditions and means of processing are determined by Union law or Member State law, the controller or the specific criteria for his nomination may be designated by Union law or by Member State law.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_413e4c1b_7d3b_4fc1_98c0_b782b533aae8</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Controller</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_43574c52_adab_4ef9_807a_68f850c65a04</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 16

The data subject shall have the right to obtain from the controller the rectification of personal data relating to them which are inaccurate. The data subject shall have the right to obtain completion of incomplete personal data, including by way of supplementing a corrective statement.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_43574c52_adab_4ef9_807a_68f850c65a04</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">RightToRectification</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_48029399_9b67_4460_9eec_db9c7f55752c</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DPH s. 3.3.3

Article 6 (1) (e) of the Data Protection Directive and, likewise, Article 5 (e) of Convention 108 require Member States to ensure that personal data are &quot;kept in a form which permits identification of data subjects for no longer than is necessary for the The key principles of European data protection law purposes for which the data were collected or for which they are further processed.&quot; The data must therefore be erased when those purposes have been served.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_48029399_9b67_4460_9eec_db9c7f55752c</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Retention</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_49185c12_e790_4177_ba61_944b1fc3b8ce</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 39.1

The Member States and the Commission shall encourage, in particular at European level, the establishment of data protection certification mechanisms and of data protection seals and marks, allowing data subjects to quickly assess the level of data protection provided by controllers and processors. The data protection certifications mechanisms shall contribute to the proper application of this Regulation, taking account of the specific features of the various sectors and different processing operations.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_49185c12_e790_4177_ba61_944b1fc3b8ce</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Certification</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_4a286d0b_f129_4976_be2b_9c7ab71beb24</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 11

The controller shall have transparent and easily accessible policies with regard to the processing of personal data and for the exercise of data subjects&apos; rights.

The controller shall provide any information and any communication relating to the processing of personal data to the data subject in an intelligible form, using clear and plain language, adapted to the data subject, in particular for any information addressed specifically to a child.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_4a286d0b_f129_4976_be2b_9c7ab71beb24</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">TransparentInformation</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_52a03e03_fa27_4f76_8af1_059dd1af4f90</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 23.1

Having regard to the state of the art and the cost of implementation, the controller shall, both at the time of the determination of the means for processing and at the time of the processing itself, implement appropriate technical and organisational measures and procedures in such a way that the processing will meet the requirements of this Regulation and ensure the protection of the rights of the data subject.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_52a03e03_fa27_4f76_8af1_059dd1af4f90</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">PrivacyByDesign</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_573ba052_e830_419f_9c33_bee5251b8043</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 15.1

The data subject shall have the right to obtain from the controller at any time, on request, confirmation as to whether or not personal data relating to the data subject are being processed. Where such personal data are being processed, the controller shall provide the following information:
(a) the purposes of the processing;
(b) the categories of personal data concerned;
(c) the recipients or categories of recipients to whom the personal data are to be or have been disclosed, in particular to recipients in third countries;
(d) the period for which the personal data will be stored;
(e) the existence of the right to request from the controller rectification or erasure of personal data concerning the data subject or to object to the processing of such personal data;
(f) the right to lodge a complaint to the supervisory authority and the contact details of the supervisory authority;
(g) communication of the personal data undergoing processing and of any available information as to their source;
(h) the significance and envisaged consequences of such processing, at least in the case of measures referred to in Article 20.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_573ba052_e830_419f_9c33_bee5251b8043</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">RightOfAccess</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_57b79a8d_ad1a_4ace_9892_affeb548ba0d</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 6.1(e)

Processing that is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_57b79a8d_ad1a_4ace_9892_affeb548ba0d</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">PublicInterestProcessing</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_583cd6c2_76ad_4b1c_b11b_60373af28e5b</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 38.1

The Member States, the supervisory authorities and the Commission shall encourage the drawing up of codes of conduct intended to contribute to the proper application of this Regulation, taking account of the specific features of the various data processing sectors, in particular in relation to:
(a) fair and transparent data processing;
(b) the collection of data;
(c) the information of the public and of data subjects;
(d) requests of data subjects in exercise of their rights;
(e) information and protection of children;
(f) transfer of data to third countries or international organisations;
(g) mechanisms for monitoring and ensuring compliance with the code by the controllers adherent to it;
(h) out-of-court proceedings and other dispute resolution procedures for resolving disputes between controllers and data subjects with respect to the processing of personal data, without prejudice to the rights of the data subjects pursuant to Articles 73 and 75.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_583cd6c2_76ad_4b1c_b11b_60373af28e5b</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">CodeOfConduct</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_59851879_88be_4cf3_bd27_3b185fc2046a</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 5(f)

Personal data must be processed under the responsibility and liability of the controller, who shall ensure and demonstrate for each processing operation the compliance with the provisions of this Regulation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_59851879_88be_4cf3_bd27_3b185fc2046a</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Compliance</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_5a9540f3_9f42_46c1_9cff_227fa5323efb</IRI>
        <Literal datatypeIRI="&rdf;PlainLiteral">A specific operation which is performed upon personal data or sets of personal data.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_5a9540f3_9f42_46c1_9cff_227fa5323efb</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">ProcessingActivity</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_624c0561_eda6_4035_9f2a_47d4b8de3ee9</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A recipient located within the European Union, or subject to the Regulation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_624c0561_eda6_4035_9f2a_47d4b8de3ee9</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">EURecipient</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_69062b9e_235e_4977_877f_0021effc2dfc</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Consent to the processing of personal data of a child below the age of 13 years given or authorised by the child&apos;s parent or custodian.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_69062b9e_235e_4977_877f_0021effc2dfc</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">ParentConsent</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_6c46bd74_4881_488e_b461_603592bc3426</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DPH ch. 3

The principles set out in Article 5 of Convention 108 enshrine the essence of European data protection law. They appear also in Article 6 of the Data Protection Directive as the starting point for more detailed provisions in the subsequent articles of the directive. All later data protection legislation at the CoE or EU level must comply with these principles and they must be kept in mind when interpreting such legislation.
Any exemptions from and restrictions to these key principles may be provided for at national level;107 they must be provided for by law, pursue a legitimate aim and be necessary in a democratic society. All three conditions must be fulfilled.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_6c46bd74_4881_488e_b461_603592bc3426</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Principle</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="skos:broadMatch"/>
        <IRI>#OWLClass_6c46bd74_4881_488e_b461_603592bc3426</IRI>
        <IRI>http://www.estrellaproject.org/lkif-core/norm.owl</IRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_70533b01_01ad_4c16_92d7_d37ff183d561</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 43.1

A supervisory authority shall in accordance with the consistency mechanism set out in Article 58 approve binding corporate rules, provided that they:
(a) are legally binding and apply to and are enforced by every member within the controller’s or processor&apos;s group of undertakings, and include their employees;
(b) expressly confer enforceable rights on data subjects;
(c) fulfil the requirements laid down in paragraph 2.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_70533b01_01ad_4c16_92d7_d37ff183d561</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">BindingCorporateRules</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_75dd7417_421b_47d5_b6cd_daf3b328ca3b</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Processing that requires human activity.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_75dd7417_421b_47d5_b6cd_daf3b328ca3b</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">ManualProcessing</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_771335d1_185e_465d_b779_165e6f384353</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 23.2

The controller shall implement mechanisms for ensuring that, by default, only those personal data are processed which are necessary for each specific purpose of the processing and are especially not collected or retained beyond the minimum necessary for those purposes, both in terms of the amount of the data and the time of their storage. In particular, those mechanisms shall ensure that by default personal data are not made accessible to an indefinite number of individuals.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_771335d1_185e_465d_b779_165e6f384353</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">PrivacyByDefault</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_7bb468f6_ab61_4585_a9cb_522371c20b9d</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">The data subjects&apos; objection to the processing of personal data, on grounds relating to their particular situation, at any time to the processing of personal data which is based on points (d), (e) and (f) of Article 6(1).</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_7bb468f6_ab61_4585_a9cb_522371c20b9d</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Objection</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_7e0df94b_e1c3_4a97_b19d_d9320b921f84</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DPH s. 3.5

The Organisation for Economic Co-operation and Development (OECD) adopted privacy guidelines in 2013 that highlighted that controllers have an important role in making data protection work in practice. The guidelines develop an accountability principle to the effect that &quot;a data controller should be accountable for complying with measures which give effect to the [material] principles stated above.&quot;</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_7e0df94b_e1c3_4a97_b19d_d9320b921f84</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Accountability</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_7ef6aaee_8d1b_4e22_bee2_f64f4332c477</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DPH s. 4.1.1

Chapter II of Directive 95/46, entitled ‘General rules on the lawfulness of the processing of personal data’, provides that, subject to the exceptions permitted under Article 13, all processing of personal data must comply, first, with the principles relating to data quality set out in Article 6 of the Data Protection Directive and, secondly, with one of the criteria for making data processing legitimate, listed in Article 7. This explains the cases which legitimise the processing of non-sensitive personal data.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_7ef6aaee_8d1b_4e22_bee2_f64f4332c477</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">LawfulnessRule</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_801beed0_2387_4a31_a5f1_6636c3558cb7</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A data subject under the age of 13 years.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_801beed0_2387_4a31_a5f1_6636c3558cb7</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">ChildDataSubject</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_83eaae05_ab01_4df1_b8ed_a203cfec5a08</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DPH s. 3.4.1

This principle establishes an obligation for the controller to keep the data subjects informed about how their data are being used.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_83eaae05_ab01_4df1_b8ed_a203cfec5a08</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Transparency</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_847950cb_b447_4f15_bb85_ed45f878d760</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">The specific way in which the processing is performed.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_847950cb_b447_4f15_bb85_ed45f878d760</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">ProcessingMode</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_8fd1b241_6e73_4771_9cf7_4a995dd8311b</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DPH s. 5.1

The effectiveness of legal rules in general and data subjects’ rights in particular, depends to a considerable extent on the existence of appropriate mechanisms to enforce them. In European data protection law, the data subject must be empowered by national law to protect his or her data. Independent supervisory authorities must also be established by national law to assist the data subjects in exercising their rights and to supervise the processing of personal data. Additionally, the right to an effective remedy, as guaranteed under the ECHR and the Charter, demands that judicial remedies be available to every person.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_8fd1b241_6e73_4771_9cf7_4a995dd8311b</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DataSubjectRight</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="skos:closeMatch"/>
        <IRI>#OWLClass_8fd1b241_6e73_4771_9cf7_4a995dd8311b</IRI>
        <IRI>http://www.estrellaproject.org/lkif-core/norm.owl#Right</IRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_91a1bac2_859c_446e_86c7_0f32f12470ac</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">The parent or custodian of a child below the age of 13 years.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_91a1bac2_859c_446e_86c7_0f32f12470ac</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Parent</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_931c3eee_c583_4adb_9af9_e0891ea43f2b</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 17.1

The data subject shall have the right to obtain from the controller the erasure of personal data relating to them and the abstention from further dissemination of such data, especially in relation to personal data which are made available by the data subject while he or she was a child, where one of the following grounds applies:
(a) the data are no longer necessary in relation to the purposes for which they were collected or otherwise processed;
(b) the data subject withdraws consent on which the processing is based according to point (a) of Article 6(1), or when the storage period consented to has expired, and where there is no other legal ground for the processing of the data;
(c) the data subject objects to the processing of personal data pursuant to Article 19;
(d) the processing of the data does not comply with this Regulation for other reasons.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_931c3eee_c583_4adb_9af9_e0891ea43f2b</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">RightToErasure</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_99a373a5_bae0_4769_a675_7bf1a8467f00</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">An individual or organization involved in the processing of personal data.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_99a373a5_bae0_4769_a675_7bf1a8467f00</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Person</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_a2ccd29b_a341_4659_919a_977a6a81d4d1</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 7

The controller shall bear the burden of proof for the data subject&apos;s consent to the processing of their personal data for specified purposes.

If the data subject&apos;s consent is to be given in the context of a written declaration which also concerns another matter, the requirement to give consent must be presented distinguishable in its appearance from this other matter.

The data subject shall have the right to withdraw his or her consent at any time. The withdrawal of consent shall not affect the lawfulness of processing based on consent before its withdrawal.

Consent shall not provide a legal basis for the processing, where there is a significant imbalance between the position of the data subject and the controller.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_a2ccd29b_a341_4659_919a_977a6a81d4d1</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Consent</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_a42fde83_5051_4cc3_b86c_b1981b6b6500</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Objective that a subject can legally pursue.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_a42fde83_5051_4cc3_b86c_b1981b6b6500</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">LegitimateInterest</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_a6bd38e0_dcde_48be_812b_8c785619187b</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 14.1

Where personal data relating to a data subject are collected, the controller shall provide the data subject with at least the following information:
(a) the identity and the contact details of the controller and, if any, of the controller&apos;s representative and of the data protection officer;
(b) the purposes of the processing for which the personal data are intended, including the contract terms and general conditions where the processing is based on point (b) of Article 6(1) and the legitimate interests pursued by the controller where the processing is based on point (f) of Article 6(1);
(c) the period for which the personal data will be stored;
(d) the existence of the right to request from the controller access to and rectification or erasure of the personal data concerning the data subject or to object to the processing of such personal data;
(e) the right to lodge a complaint to the supervisory authority and the contact details of the supervisory authority;
(f) the recipients or categories of recipients of the personal data;
(g) where applicable, that the controller intends to transfer to a third country or international organisation and on the level of protection afforded by that third country or international organisation by reference to an adequacy decision by the Commission;
(h) any further information necessary to guarantee fair processing in respect of the data subject, having regard to the specific circumstances in which the personal data are collected.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_a6bd38e0_dcde_48be_812b_8c785619187b</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">RightToInformation</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_af4ae221_0c41_4b82_8ff9_7561e9d9c6cd</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Requirement that the controller or processor must fulfill to be compliant with the Regulation.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_af4ae221_0c41_4b82_8ff9_7561e9d9c6cd</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Rule</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="skos:broadMatch"/>
        <IRI>#OWLClass_af4ae221_0c41_4b82_8ff9_7561e9d9c6cd</IRI>
        <IRI>http://www.estrellaproject.org/lkif-core/norm.owl#Obligation</IRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_b3ce5053_8b0c_41d5_81ba_36f3ccbd5642</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 37.1

The controller or the processor shall entrust the data protection officer at least with the following tasks:
(a) to inform and advise the controller or the processor of their obligations pursuant to this Regulation and to document this activity and the responses received;
(b) to monitor the implementation and application of the policies of the controller or processor in relation to the protection of personal data, including the assignment of responsibilities, the training of staff involved in the processing operations, and the related audits;
(c) to monitor the implementation and application of this Regulation, in particular as to the requirements related to data protection by design, data protection by default and data security and to the information of data subjects and their requests in exercising their rights under this Regulation;
(d) to ensure that the documentation referred to in Article 28 is maintained;
(e) to monitor the documentation, notification and communication of personal data breaches pursuant to Articles 31 and 32;
(f) to monitor the performance of the data protection impact assessment by the controller or processor and the application for prior authorisation or prior consultation, if required pursuant Articles 33 and 34;
(g) to monitor the response to requests from the supervisory authority, and, within the sphere of the data protection officer&apos;s competence, co-operating with the supervisory authority at the latter&apos;s request or on the data protection officer&apos;s own initiative;
(h) to act as the contact point for the supervisory authority on issues related to the processing and consult with the supervisory authority, if appropriate, on his/her own initiative.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_b3ce5053_8b0c_41d5_81ba_36f3ccbd5642</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DataProtectionOfficer</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="skos:broadMatch"/>
        <IRI>#OWLClass_b3ce5053_8b0c_41d5_81ba_36f3ccbd5642</IRI>
        <IRI>http://www.estrellaproject.org/lkif-core/legal-action.owl#Legal_Person</IRI>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_b491c951_2363_4eab_a32f_0fc922d48adc</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DPH s. 3.2

In essence, the principle of purpose specification and limitation means that the legitimacy of processing personal data will depend on the purpose of the processing. The purpose must have been specified and made manifest by the controller before the processing of data starts. Under EU law, this must be done either by declaration, in other words by notification, to the appropriate supervisory authority or, at the least, by internal documentation which must be made available by the controller for inspection by the supervisory authorities and access by the data subject.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_b491c951_2363_4eab_a32f_0fc922d48adc</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Purpose</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_b628f28a_bd8c_471e_9c61_9548ff8cfd58</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 20.1

Every natural person shall have the right not to be subject to a measure which produces legal effects concerning this natural person or significantly affects this natural person, and which is based solely on automated processing intended to evaluate certain personal aspects relating to this natural person or to analyse or predict in particular the natural person&apos;s performance at work, economic situation, location, health, personal preferences, reliability or behaviour.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_b628f28a_bd8c_471e_9c61_9548ff8cfd58</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">RightToNoProfiling</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_b841fd2e_162d_4f1a_8c2c_05dc948e63a0</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DPH s. 3.3

The principles of data quality must be implemented by the controller in all processing operations.
The principle of limited retention of data makes it necessary to delete data as soon as they are no longer needed for the purposes for which they were collected.
Exemptions from the principle of limited retention must be set out by law and need special safeguards for the protection of data subjects.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_b841fd2e_162d_4f1a_8c2c_05dc948e63a0</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DataQuality</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_b937960f_e255_4bcf_aff6_f362c905a8b8</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DPH s. 3.1.1

The processing of personal data may constitute an interference with the right to respect for private life of the data subject. The right to respect for private life is, however, not an absolute right but must be balanced against and reconciled with other legitimate interests, be they of other persons (private interests) or of society as a whole (public interests).</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_b937960f_e255_4bcf_aff6_f362c905a8b8</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">LawfulnessPrinciple</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_ba7850fa_6664_4b14_91d4_b8307ae8481d</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Reason to perform the processing, such as the interest of the data controller.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_ba7850fa_6664_4b14_91d4_b8307ae8481d</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Justification</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 4(1)

An identified natural person or a natural person who can be identified, directly or indirectly, by means reasonably likely to be used by the controller or by any other natural or legal person, in particular by reference to an identification number, location data, online identifier or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that person.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DataSubject</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="skos:closeMatch"/>
        <IRI>#OWLClass_be0e1d3c_0330_4bd1_994f_919bb4962315</IRI>
        <IRI>http://www.estrellaproject.org/lkif-core/legal-action.owl#Natural_Person</IRI>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_bf972a40_26a4_451a_b104_ea993da94716</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 4(7)

A natural or legal person, public authority, agency or any other body to which the personal data are disclosed</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_bf972a40_26a4_451a_b104_ea993da94716</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Recipient</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_bfbcc9ac_862a_454f_8a67_a52f688d75ca</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 41.1

A transfer may take place where the Commission has decided that the third country, or a territory or a processing sector within that third country, or the international organisation in question ensures an adequate level of protection. Such transfer shall not require any further authorisation.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_bfbcc9ac_862a_454f_8a67_a52f688d75ca</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">AdequacyDecision</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_c37e1def_c49d_4171_94ca_7d6912ef2acf</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 6.1(a)

Processing of personal data to which the data subject has given consent for one or more specific purposes.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_c37e1def_c49d_4171_94ca_7d6912ef2acf</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">ConsensualProcessing</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_c544c98a_ea80_4638_94c2_47fe7985c5b9</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">A violation of the security measures of the data controller that exposes personal data to unintended subjects.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_c544c98a_ea80_4638_94c2_47fe7985c5b9</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DataBreach</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_c61c5125_09a3_46f0_9369_2288f8f41a1b</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 28.1

Each controller and processor and, if any, the controller&apos;s representative, shall maintain documentation of all processing operations under its responsibility.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_c61c5125_09a3_46f0_9369_2288f8f41a1b</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Documentation</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_c750844c_48fa_4fbd_8619_b8b9b1e967db</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DPH ch. 4

Principles are necessarily of a general nature. Their application to concrete situations leaves a certain margin of interpretation and choice of means. Under CoE law, it is left to the Parties to Convention 108 to clarify this margin of interpretation in their domestic law. The situation in EU law is different: for the establishment of data protection in the internal market, it was deemed necessary to have more detailed rules already at the EU level in order to harmonise the level of data protection of the national laws of the Member States. The Data Protection Directive establishes, under the principles set out in its Article 6, a layer of detailed rules which must be faithfully implemented in national law. The following remarks on detailed data protection rules at the European level deal, therefore, predominantly with EU law.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_c750844c_48fa_4fbd_8619_b8b9b1e967db</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">ProcessingRule</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_cd736f6b_2897_46b3_af1e_89e318585b0a</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 33.1

Where processing operations present specific risks to the rights and freedoms of data subjects by virtue of their nature, their scope or their purposes, the controller or the processor acting on the controller&apos;s behalf shall carry out an assessment of the impact of the envisaged processing operations on the protection of personal data.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_cd736f6b_2897_46b3_af1e_89e318585b0a</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">ImpactAssessment</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_d6d8fedc_ca29_4852_bc9d_fe4abf2707e0</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">The request to obtain from the controller the rectification of personal data relating to them which are inaccurate.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_d6d8fedc_ca29_4852_bc9d_fe4abf2707e0</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Rectification</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_dd11ad3d_8e96_4fd6_9646_b1fa4799b296</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 4(19)

A public authority which is established by a Member State in accordance with Article 46.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_dd11ad3d_8e96_4fd6_9646_b1fa4799b296</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">SupervisoryAuthority</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_df7e7536_7235_4e30_b042_4e8a8b5852a5</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 6.1(f)

Processing that is necessary for the purposes of the legitimate interests pursued by a controller, except where such interests are overridden by the interests or fundamental rights and freedoms of the data subject which require protection of personal data, in particular where the data subject is a child. This shall not apply to processing carried out by public authorities in the performance of their tasks.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_df7e7536_7235_4e30_b042_4e8a8b5852a5</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">LegitimateInterestProcessing</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_e7e707fc_dc05_4f59_973d_771a0e393117</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Behaviour that is legally required of a subject by means of a contract or law.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_e7e707fc_dc05_4f59_973d_771a0e393117</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">LegalObligation</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_ea967b60_4d4f_41e0_97fe_8d7dd514619c</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Personal data pertaining to a data subject under the age of 13 years.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_ea967b60_4d4f_41e0_97fe_8d7dd514619c</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">ChildData</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_eba91113_47e1_4806_8b83_bd8ba94c2002</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 4(3)

Disclosure of personal data by transmission, dissemination or otherwise
making available.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_eba91113_47e1_4806_8b83_bd8ba94c2002</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DataTransfer</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_eccd3a99_0368_4293_a3d1_e344dc5bd0a1</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DPH s. 3.4

The principle of fair processing governs primarily the relationship between the controller and the data subject.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_eccd3a99_0368_4293_a3d1_e344dc5bd0a1</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Fairness</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_ed8bdd2f_f171_49c2_9386_576fe410d791</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 4(2)

Any information relating to a data subject.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_ed8bdd2f_f171_49c2_9386_576fe410d791</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">PersonalData</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_efdc2be7_211a_4933_bdef_2fed334f2858</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 31.1

In the case of a personal data breach, the controller shall without undue delay and, where feasible, not later than 24 hours after having become aware of it, notify the personal data breach to the supervisory authority. The notification to the supervisory authority shall be accompanied by a reasoned justification in cases where it is not made within 24 hours.

Article 32.1

When the personal data breach is likely to adversely affect the protection of the personal data or privacy of the data subject, the controller shall, after the notification referred to in Article 31, communicate the personal data breach to the data subject without undue delay.</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_efdc2be7_211a_4933_bdef_2fed334f2858</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">BreachNotification</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_f0877852_cd4f_4338_bd33_7a11b7f3677d</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">An interest beneficial to a general community of undetermined individuals.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_f0877852_cd4f_4338_bd33_7a11b7f3677d</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">PublicInterest</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 9.1

Personal data revealing race or ethnic origin, political opinions, religion or beliefs, trade-union membership, and the processing of genetic data or data concerning health or sex life or criminal convictions or related security measures.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_f234596c_9040_4f87_bd51_49ec017fd3d5</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">SensitiveData</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_f9140510_7d3e_441d_a8cf_a67da4fb19c4</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Processing that does not require human activity.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_f9140510_7d3e_441d_a8cf_a67da4fb19c4</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">AutomatedProcessing</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_f91e368a_9e61_4616_85d2_d24ff9c08ab2</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 6.1

Processing of personal data shall be lawful only if and to the extent that at least one of the following applies:
(a) the data subject has given consent to the processing of their personal data for one or more specific purposes;
(b) processing is necessary for the performance of a contract to which the data subject is party or in order to take steps at the request of the data subject prior to entering into a contract;
(c) processing is necessary for compliance with a legal obligation to which the controller is subject;
(d) processing is necessary in order to protect the vital interests of the data subject;
(e) processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller;
(f) processing is necessary for the purposes of the legitimate interests pursued by a controller, except where such interests are overridden by the interests or fundamental rights and freedoms of the data subject which require protection of personal data, in particular where the data subject is a child. This shall not apply to processing carried out by public authorities in the performance of their tasks.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_f91e368a_9e61_4616_85d2_d24ff9c08ab2</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">LawfulProcessing</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_f993be7a_344f_4fee_9a35_75f1e3b367c5</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Reason to perform the processing which is based on legal grounds, such as an legitimate interest of the data controller.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_f993be7a_344f_4fee_9a35_75f1e3b367c5</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">LegalJustification</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_fa3d54a9_5ad4_4240_b021_815d980dcda6</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Article 18

The data subject shall have the right, where personal data are processed by electronic means and in a structured and commonly used format, to obtain from the controller a copy of data undergoing processing in an electronic and structured format which is commonly used and allows for further use by the data subject.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_fa3d54a9_5ad4_4240_b021_815d980dcda6</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">RightToPortability</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_fccddccc_e1c5_425a_9e67_99ea9c2dfa55</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Consent given under special circumstances, such as to the processing of personal data of a child or to the processing of sensitive data.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_fccddccc_e1c5_425a_9e67_99ea9c2dfa55</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">SpecialConsent</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
        <IRI>#OWLClass_fdf49ad5_3967_4c7f_b6dc_e8de56c976b2</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">DPH s. 3.3.2

A controller holding personal information shall not use that information without taking steps to ensure with reasonable certainty that the data are accurate and up to date.</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLClass_fdf49ad5_3967_4c7f_b6dc_e8de56c976b2</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">Accuracy</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLDataProperty_4644d2f7_3262_4cc1_84ff_06605a549316</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">dataName</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLDataProperty_6fb5e412_2c48_4308_94b9_2b02c71b8004</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">dataSubjectId</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLNamedIndividual_2f06aa66_4ab7_41c6_9b94_c2cb13e9691f</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">ReligionData</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLNamedIndividual_3b3179d7_ab20_45eb_842b_39318f5149a1</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">EUTransfer</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLNamedIndividual_55e57984_3d3c_4ba0_8321_6c74aaf17d36</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">TradeUnionData</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>#OWLNamedIndividual_6ae3b678_a2b2_4193_8f9a_2ccf21a4c8a4</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">EURecipient</Literal>
    </AnnotationAssertion>
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        <IRI>http://www.w3.org/2004/02/skos/core#OWLAnnotationPropertyImpl_b79dea85_da38_4371_96dc_30a639826a63</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">broadMatch</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>http://www.w3.org/2004/02/skos/core#OWLAnnotationPropertyImpl_b8cc2e2d_f9ef_40ef_9107_4b247d7787b8</IRI>
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        <IRI>http://www.w3.org/2004/02/skos/core#OWLAnnotationPropertyImpl_c5686ee0_cc44_43c5_9a6a_6ab8920fc3ec</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">closeMatch</Literal>
    </AnnotationAssertion>
    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>http://www.w3.org/2004/02/skos/core#OWLAnnotationPropertyImpl_d5664569_69fe_4586_b6af_7b6c11c4e26a</IRI>
        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">broaderTransitive</Literal>
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    <AnnotationAssertion>
        <AnnotationProperty abbreviatedIRI="rdfs:label"/>
        <IRI>http://www.w3.org/2004/02/skos/core#OWLAnnotationPropertyImpl_e64a6883_ac97_40d6_b82d_8f68134fe756</IRI>
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        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">broaderTransitive</Literal>
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        <Literal xml:lang="en" datatypeIRI="&rdf;PlainLiteral">note</Literal>
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        <AnnotationProperty abbreviatedIRI="rdfs:comment"/>
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</Ontology>



<!-- Generated by the OWL API (version 3.5.1) http://owlapi.sourceforge.net -->

[[https://vincentblog.xyz/posts/decision-trees-in-python]]

! Related Jupyter notebook
[[https://nbviewer.jupyter.org/github/vincent1bt/Machine-learning-tutorials-notebooks/blob/master/decisionTrees/decisionTreeTutorial1.ipynb]]

[[https://www.researchgate.net/publication/228975786_Designing_linguistic_support_for_risk_management_communication]]

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Development process' sort[title]>>
</div>


!!! Systems should be specified using UML

<<fold "!Development process Visual Navigation" 
"""
<$tidgraph start="Development process" layout="E" mode="tagging"/>
"""
>>
<br>



! Usage of UML [[PlantUML]] and other [[Modeling Tools and Methods]]

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Django' sort[title]>>
</div>

<<fold "Tools Visual Navigation" 
"""
<$tidgraph start="Django" layout="E" mode="tagging"/>
"""
>>
<br>

<<fold "Visual Navigation" 
"""
{{Visual Menu}}
"""
>>
<br>

[[https://docs.google.com/document/d/1OcW3S53uGJY9HVrbF35ggcvp_ivu0QF5s-2KCPyWmvM/edit?usp=sharing]]

[[https://deepu.js.org/svg-seq-diagram/Reference_Guide.pdf]]

[[Checking Threat Modeling Data Flow Diagrams]]

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

https://danielorodriguez.com/TW5-EncryptTiddlerPlugin/

[[Risk Analysis]]

iVBORw0KGgoAAAANSUhEUgAABSMAAANxCAYAAAAfIKx6AAAAAXNSR0IArs4c6QAAAFBlWElmTU0AKgAAAAgAAgESAAMAAAABAAEAAIdpAAQAAAABAAAAJgAAAAAAA6ABAAMAAAABAAEAAKACAAQAAAABAAAFI6ADAAQAAAABAAADcQAAAACK3OJbAAABWWlUWHRYTUw6Y29tLmFkb2JlLnhtcAAAAAAAPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iWE1QIENvcmUgNS40LjAiPgogICA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPgogICAgICA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0iIgogICAgICAgICAgICB4bWxuczp0aWZmPSJodHRwOi8vbnMuYWRvYmUuY29tL3RpZmYvMS4wLyI+CiAgICAgICAgIDx0aWZmOk9yaWVudGF0aW9uPjE8L3RpZmY6T3JpZW50YXRpb24+CiAgICAgIDwvcmRmOkRlc2NyaXB0aW9uPgogICA8L3JkZjpSREY+CjwveDp4bXBtZXRhPgpMwidZAABAAElEQVR4AeydCbgcRbmGCxIIEiBhDRCWICAoW3JZBBTZIgYlgqyBGzbZJYpREJGLgMJlVVRAFkEDImuAAEHBsAQBAQmy7yC7guwXUPZz+y35mzp1umd6ZnrmzMz56nnO6e7qqr+q3l6m++u/qmbrSYJTEAEREAEREAEREAEREAEREAEREAEREAEREAEREIEmE5i9yfZlXgREQAREQAREQAREQAREQAREQAREQAREQAREQAQ8AYmROhFEQAREQAREQAREQAREQAREQAREQAREQAREQARaQkBiZEswqxAREAEREAEREAEREAEREAEREAEREAEREAEREAGJkToHREAEREAEREAEREAEREAEREAEREAEREAEREAEWkJAYmRLMKsQERABERABERABERABERABERABERABERABERABiZE6B0RABERABERABERABERABERABERABERABERABFpCQGJkSzCrEBEQAREQAREQAREQAREQAREQAREQAREQAREQAYmROgdEQAREQAREQAREQAREQAREQAREQAREQAREQARaQkBiZEswqxAREAEREAEREAEREAEREAEREAEREAEREAEREAGJkToHREAEREAEREAEREAEREAEREAEREAEREAEREAEWkJAYmRLMKsQERABERABERABERABERABERABERABERABERABiZE6B0RABERABERABERABERABERABERABERABERABFpCQGJkSzCrEBEQAREQAREQAREQAREQAREQAREQAREQAREQAYmROgdEQAREQAREQAREQAREQAREQAREQAREQAREQARaQkBiZEswqxAREAEREAEREAEREAEREAEREAEREAEREAEREAGJkToHREAEREAEREAEREAERCAg0NPTE2xpVQREIIuArpMsKooTAREQAREoQmC25EdET1tFSCmNCIiACIiACIiACIiACIiACIiACIiACIiACIhAQwTkGdkQPmUWAREQAREQAREQAREQAREQgYFDQL4sA+dYq6UiIAIi0CwCEiObRVZ2RUAEREAEREAEREAEREAERKDLCMw222xd1iI1RwREQAREoNUEJEa2mrjKEwEREAEREAEREAEREAEREIEOJSDPyA49cKq2CIiACLQRAYmRbXQwVBUREAEREAEREAEREAEREAERaGcC8oxs56OjuomACIhAZxCQGNkZx0m1FAEREAEREAEREAEREAEREAEREAEREAEREIGOJzC441ugBoiACIiACIiACIiACIhAiQRee+01d9ddd5VoUaZEYGAQGDNmjBs2bNjAaKxaKQIiIAIiUDcBiZF1o1NGERABERABERABERCBbiSAELnhhht2Y9PUJhFoGgG6b19//fVu/fXXb1oZMiwCIiACItAdBCRGdsdxVCtEQAREQAREQAREQARKJvCzn/3MjR49umSrMicC3UGAiWxs/Mg777zTTZ48uTsaplaIgAiIgAg0nYDEyKYjVgEiIAIiIAIiIAIiIAKdSAAhUl5enXjkVOdWE9AM260mrvJEQAREoLMJaAKbzj5+qr0IiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIdAwBiZEdc6hUUREQAREQAREQAREQgf4gIK+v/qCuMkVABERABERABLqVgMTIbj2yapcIiIAIiIAIiIAIiEApBGxcvFKMyYgIiIAIiIAIiIAIDHACEiMH+Amg5ouACIiACIiACIiACIiACIiACIiACIiACIhAqwhIjGwVaZUjAiIgAiIgAiIgAiIgAiIgAl1IwLyHNaRBFx5cNUkEREAEmkBAYmQToMqkCIiACIiACIiACIjAwCBg4osta211vflqLaes9J1W37LaPdDtVDvutt9EyYHOS+0XAREQARGoTEBiZGU+2isCIiACIiACIiACIiACuQRMfLFlbsIu2RG300SoTmpeK+pMGY2W02j+Mo9JfNzLtC1bIiACIiACA4+AxMiBd8zVYhEQAREQAREQAREQgZIJ1CscdbrI08n1r/eYFTl14MJfI2VUYtuI3SL1VxoREAEREAERaCYBiZHNpCvbIiACIiACIiACIiACXUsgFIQqCUddC6BDG2bHypbNbEYZZYTnmdW1DLtmS0sREAEREAERaDUBiZGtJq7yREAEREAEREAEREAEuoJAMwWhLAGqK6B1WCP6+zhQfnyeEdff9eqww6jqioAIiIAItBkBiZFtdkBUHREQAREQAREQAREQgYFDIBSVwvVYgOoUImEbOqXO7VzPrPOAuKz4WtuhY1UrMaUXAREQAREoi8DgsgzJjgiIgAiIgAiIgAiIgAgMJAKIORdffLEXhlZYYQW38sorF27+q6++6q677jqffpNNNnHzzjuvt2PxiE1f/OIXfXxho3UkfOGFF9xNN93kc37lK19xc801l1+3erBh9WP9lVdecddffz2r7ktf+pKbZ555/Lr9K0MkM1utXD7//PPu5ptv9kWOHz/ezTnnnH69kfb86U9/cg888ID7+te/ntoro03Yvf/++93uu+/u5phjjrpMcu5mtc1s77bbbqXWua5KKpMIiIAIiEDXEpAY2bWHVg0TAREQAREQAREQARFoJoH333/fbbPNNr6IAw880B199NGFi3v88cfd1ltv7dMjLH3mM5/x63nxhQ3XmPCee+5J6/H3v//dLbbYYhXr8cgjj6TpH3roIYcI2w3hjjvuSNuF4GpiZL1te/rpp91mm23m3njjDbf99ts3bM/q8dRTT6V2d9hhBzds2DDb5btuZwmMaYJgJSsdthGk33zzTYftRhkExWlVBERABERABHoRUDftXji0IQIiIAIiIAIiIAIiIAKtJ1C0yyzpiqYtsxVFygzThOu11qORvEXLooy8crKEuqJ2Sffiiy+6cePGeSGylnzV0laz20i9zTZCpIIIiIAIiIAINJuAPCObTVj2RUAEREAEREAEREAERCAisPTSS7tTTz3Vd5XFG9GEpCyBjDjbb8vIXJ9Ny2PLPgmqRFC/0047zacK61cpW1i3cL1Snqx9jeTNspcVV0YZWWzp6r3rrru6Rx99NKvYuuOaZZcKNdN23Q1WRhEQAREQga4mIDGyqw+vGicCIiACIiACIiACItCOBBZeeGG311579akaIhl/CF0W6hHOsvJkiWdWRrykfnvuuWccXXG7Fvth2nCdAuLtsNBK+8J0lexUspHFLbZr22Hat956yx100EHu5JNPdh9++KGbffbZ/dLS1rtsll3q00zb9bZX+URABERABAYGAYmRA+M4q5UiIAIiIAIiIAIiIAIdQgCxrNHw5JNPeu+8T37yk44/hLNQPAvtE99omYx1yTiJY8aMccOHDw/NZ65T5nvvvecee+wx98wzz7jll1/ejRo1qmI9MWRtyMob7o/X2bbA2IjUd/HFF/djXiIcWqiHw9tvv+0nL4I5YezYsW6rrbZy++yzj9/mXyUBNE0UrWTZ3XLLLd03vvGNKGXtm2YbFtSNOpdlu/baKIcIiIAIiMBAI/DxL+9Aa7naKwIiIAIiIAIiIAIiIAL9RGDWrFmp8MaMy2EwwS2MYx0BbosttvD5Bg0a5M4999xeSd555x23//77ezFwmWWW8bNgI/IhDn7ve99z7777bq/0tpElwFWqn+VjeeKJJ7oFFljALbfccm6jjTby68wq/sc//jFM1mud8QnxCh06dKifuIdZuRFMmYxl8uTJ7t///nev9OFGpbzf+c53KualTZ///OcdbBDfmDRoxIgR7he/+EVYRM3rcEeIXHDBBd1PfvITN2PGDLfooov2spN3THslijZiuzBFQC0jZNm2yYvKsC8bIiACIiACIlCJgDwjK9HRPhEQAREQAREQAREQARFoMYEscZCZuydMmOAuu+wyN8ccc7jf/e536UzeVA8Pt/Hjx7t7773X1xZBECGS2a8ffPBBd9xxx3mB8A9/+EM6Y3ajzdpjjz3cjTfe6M2stNJKfskM28wOjmh65ZVXug033LBXMdTns5/9rHvttde8qLriiiv6eiLI4q3485//3P3+97/3eRE4w/Dwww+7tddeu668zBQOn+eff94NGTLErb766m6uueZyt912m9tvv/3cWmutFRZV0/rgwYPdMccc4z0W55lnnop5a/GQzLKbdW5ULDBnZ5btnKSKFgEREAEREIHSCcgzsnSkMigCIiACIiACIiACIiAC9ROIvegQIrfffnt3ySWXeCHt4osv7iVEUtKkSZO8ELnIIot40RFRkvT33XefmzlzpvfUu/vuu90BBxxQf8WinAiRW2+9tXvuued8OZSFuIeHIN6N3/zmN3vl+OCDD9yOO+7oxUQ8/KgXQunll1/uu2tPmzbNe0cy+Us8XiV5d9ppp6p5ETvjvHgB0gUZIRLRFOGTSVuuvfZa30V84403drfffnuvutaygYcnnqfVhEhsxse2Ujm12K1kJ96HoNks23FZ2hYBERABERCBLAISI7OoKE4EREAEREAEREAEREAE+olA6P2GCDdx4kQ3depU94lPfMIh2OHhR7B0dN+dPn26j5syZYr74he/6Nft33rrrecuvPBCv0nX7ltuucV21b1EVFt33XXdOeec06vrMB6HdBUn4CGJB6QFvB7/8pe/+M0LLrjAfeELX7Bdfrn55pu7X/3qV75d119/vTvvvPPS/UXzkiHOe+aZZ3qRlDpfdNFFvku4GZ5//vm9GIqAWmaoRXQss9wituK62XlUJK/SiIAIiIAIiEAZBCRGlkFRNkRABERABERABERABEQgg0AjQo95AyLczT333F5wHDduXCpCIiphny7bBLz+Nt1004xaOIcg+elPf9qnv/TSSzPT1BJJudtuu6331IzzrbHGGmnUyy+/nK5fd911fp3xGhm7MSvgabnqqqv6XXRJt5CV19jaMi/vHXfc4c18+ctf9gzMpi1hG3tx2r56l1anavmLpqtmp5H9sTjZiC3lFQEREAEREIEiBDRmZBFKSiMCIiACIiACIiACIiACdRBoROhh1uSbbrrJl7rOOuv4CWLYCG2yTtdkAhPVnH/++X4969+8887ro5nB2kJoy+KKLldYYYXMpAsttFAa/9Zbb6XrdMkmVBufkf333HOPY/xJC1l5re62RNjLykv3dMIqq6xi5vos11xzzT5xrYiwureiLJUhAiIgAiIgAu1CQGJkuxwJ1UMEREAEREAEREAERKCjCDRbSEKIZLIaZtFmfEO6YO+yyy59GJm4yDiI/MWBeoYeeJaedGF8nK/a9tJLL10tid9PGTZ7MxGjRo3y8Xn/mO2awNiRhLffftvPVs16Xl7KoJ1xXrxL6S5OWGKJJfwy/Gf5svaF6VqxbnVpRVkqQwREQAREQAT6k4DEyP6kr7JFQAREQAREQAREQAQ6lgDiUVZoVFQy8RBPR2a/PuSQQ9w111zjJk+e7MeDHDlyZK9iEesIdI8ePXq0Xw/rYPb8juTfAgssYKsNLWefvdiIT1a+8WK7UmDCHoKlI5/lzctnaeO8xNu+vLzE01W7v0ORevZ3HVW+CIiACIiACJRBQGJkGRRlQwREQAREQAREQAREQAQ+IoCoFIqBtYIx4Y1JZ9Zee213+umn+y7GTAazxx57uN///ve9TC6//PLuzjvvdKuttpqfAKbXzjbZYPIdvA+feeYZ98QTT1Ss1ZNPPun3L7zwwn7ZSF4EUwRaJu156qmn+pRrAiD1UhABERABERABEWgNgWKfM1tTF5UiAiIgAiIgAiIgAiIgAm1PwMTCShU1katSmmr7zAOSrsdHHHGE9/DDU/LXv/51L0/BT33qU37frbfeWtEkM1+fffbZziZ0qZi4pJ0hK0RTwu23355rnfS2nwl3LBTJS9qsvDahzqxZs8xcn+V9993XJ04RIiACIiACIiACzSEgMbI5XGVVBERABERABERABESgSwnEQmO8XVazQ7vf+ta30olfvvOd77jnnnsuLWbzzTf34iRjI9rM2unOj1YefvhhP97kzjvv7GyW6lAojNMX2Q7rl5We/WFX7i222MInmzFjRubYluy8+OKLnQmDzI5twfLSXT0eF5N28Dd16tTMvJ/97Ge9meuvv957SJpNW9K1+4QTTrBNLUVABERABERABJpMQGJkkwHLvAiIgAiIgAiIgAiIQHcTQAj729/+5q6++urcv6uuusrxx4Qq9QREvTPOOMNPaPP666/77tpmZ/vtt3frrbee35w0aZK76KKLenlO4gmJmEfZQ4cOdfvss49Pi1jYiCBZLS/7wzSUu/LKK/uyt912W3fjjTdaE/zyyiuvdHvuuadfHzt2rNthhx3S/cwsHua1WcZJQDvoup6Xd8KECW7cuHHe1nbbbee7tJthZvueOHGiP34W18olXq7jx4/3f6HA3GgdmmW30XopvwiIgAiIgAhAQGNG6jwQAREQAREQAREQAREQgQYJIADyVy288cYbXhCslo79JuSxRHBDjPvBD37gDj/8cC9snnnmmW633XbzphhX8itf+YoX1RD6ll12WbfSSit54c3GQ2Rm7ksuucQttthi3jY2+SsjWB2xZfWO7Q4ePNhR56997Wvu73//u9tggw3cCius4P8eeOAB98gjj/gsxF9++eVuyJAhqYlBgwb1yrv++uu7FVdc0efFI9Tybrjhhj7vXHPN1SvvBRdc4NZdd10/s/Zaa63lxowZ4xZaaCF32223uVdeecXhXWoeo2nGj1bCtsX7srbj9ldi/OCDD7rp06d7M2+++WaWuV5xse1eOz/aIA088+zW2p6sMhQnAiIgAiIgAo0QkGdkI/SUVwREQAREQAREQAREQARqIFBETDJzJmLZknjESERGAt21TWhEmLv33nsd3bnnm28+9/jjj3tRzvZvuummvovyJpts4vOGNn1Eg/9Ce+E6ZsM2IwTSDXunnXZyCIaIcdOmTfNi4rzzzuu9NhHRmLQmthPnRXC79NJLe+W94oorfN64OTDBexLREQ9RxpZk/M333nvPz1b+05/+NM6Sbsf1SHfkrMTpw/bHWSrti9MW3Y7Lj/NV2x+n17YIiIAIiIAIlE1gtuQHsKdso7InAiIgAiIgAiIgAiIgAp1KYObMmQ4PO5Z44HViQIR86KGH3PDhw91yyy3n5p9//sLN4PWgFYLVhx9+6EVTuriPGDHCezkiQhYJlpeZuRdZZBHHJD5zzz13kazu+eefT9msssoqDq9Lhf+IxnnHvdo50Q3XjM4BERABERCB1hFQN+3WsVZJIiACIiACIiACIiACItASAksuuaTjr5mhmkBVrWzGwWSWbJspO0xfzXalvKGdrPVFF13U8ddOoVp7i9a1ETt5QiRlV9pXtG5KJwIiIAIiIAJGQN20jYSWIiACIiACIiACIiACItAmBBCV+isUFZ6KpqvWjqy2NtN2XJ+s8rPi4nxlbFs5ZbU3tmP28+pabX9ePsWLgAiIgAiIQCMEJEY2Qk95RUAEREAEREAEREAERKAKgXoEH0SlIvmKpKlSvX7fHQtoZVaoCMewfOMZxpVZn9hWWI6VHadpZDu034gd5RUBERABERCBMglIjCyTpmyJgAiIgAiIgAiIgAgMKAJFBKR6BaEi+YqkKfuAFGlz2WUWsZdXLxjl7YvtZvEsmje2Vet2Vtm12lB6ERABERABEegEAhIjO+EoqY4iIAIiIAIiIAIiIAJtSaBVAlIZglgZNjgI1dpcRjn12AjrFecP99V6IjWSl7KoS1yfWuvQrPSNtq1Z9ZJdERABERCB7iYgMbK7j69aJwIiIAIiIAIiIAIi0AUEyhCNyrBRBGUZ5eTZKCrq5eUvUv+y01CXdqpP2e3DXtHj0oyyZVMEREAERKDzCEiM7LxjphqLgAiIgAiIgAiIgAiIgAiIQNsQ6HaxtW1AqyIiIAIi0CUEJEZ2yYFUM0RABERABERABERABESg2wlI9GqPIxx7Qsbb7VFL1UIEREAERKBdCUiMbNcjo3qJgAiIgAiIgAiIgAiIgAj0IfDiiy/2ibMIiWJGornLWBSOt5tbuqyLgAiIgAh0OoHBnd4A1V8EREAEREAEREAEREAEmkHgzjvv1Fh4zQDbgM0PP/zQnX766W733Xd3gwf3fZVBFJMg2QDgOrPedddddeZUNhEQAREQgYFIoO8v+ECkoDaLgAiIgAiIgAiIgAiIQERg8uTJUcx/ZpKW2NUHS8sillpqKffJT37S7bnnnu6JJ55oWbkq6GMCEnw/ZqE1ERABERCB+gjMljxM9dSXVblEQAREQAREQAREQAREoPsIvP766y7P00tCTGuOd8g5XP/lL3/p6Ka94IILukmTJrWmMiqlMIHRo0e7YcOGFU6vhCIgAiIgAgOTgDwjB+ZxV6tFQAREQAREQAREQARyCMw333xu/fXXz9mr6P4i8Nxzz7l//vOfvviXXnrJLbPMMg5PSYX+JYBvC4KxggiIgAiIgAgUJaAJbIqSUjoREAEREAEREAEREIEBQUDCSv8eZuu4ZUurzRVXXGGrbvbZZ3fhdrpDKy0noOul5chVoAiIgAh0PAGJkR1/CNUAERABERABERABERABEegeAiZu2ZKWffDBB+7KK69MPfCGDh3qZsyY4d55553uabhaIgIiIAIiIAIDhIDEyAFyoNVMERABERABERABERABEegEArFHJHW+4YYb3JtvvpnOlM06Y3vOnDmzE5qkOoqACIiACIiACAQEJEYGMLQqAiIgAiIgAiIgAiIgAiLQvwRCj0iryfTp023VLxEshwwZ4r0le+3QhgiIgAiIgAiIQNsTkBjZ9odIFRQBERABERABERABERCBgUuAiWvuvvvuPgAGDx7s7r33Xvf000/32acIERABERABERCB9iUgMbJ9j41qJgIiIAIiIAIiIAIiIAIDnsDll1/uPvzwwz4c6KodT2ST1cW7T0ZFiIAIiIAIiIAI9CuB2ZIf7J5+rYEKFwEREAEREAEREAEREAEREIEMAkxcM3bs2HQPry5hN27Wibv66qvdnHPOmabTigiIgAiIgAiIQPsSkGdk+x4b1UwEREAEREAEREAEREAEBjSBW265pVf7QyGSHQiR/DGztoIIiIAIiIAIiEBnEJBnZGccJ9VSBERABERABERABERABAYcAcaL/Oc//5l6Qz722GPu5JNPdpMmTXLLLrtsymOBBRZwSy21VLqtFREQAREQAREQgfYlMLh9q6aaiYAIiIAIiIAIiIAIiIAIDGQCI0eOdPzFYfnll3errrpqHO29JGPvyT6JFCECIiACIiACItCvBNRNu1/xq3AREAEREAEREAEREAEREIFaCdA1OytIiMyiojgREAEREAERaC8CEiPb63ioNiIgAiIgAiIgAiIgAiIgAgUJ5ImSBbMrmQiIgAiIgAiIQD8QkBjZD9BVpAiIgAiIgAiIgAiIgAiIQO0EYs9HtiVI1s5ROURABERABESgPwlIjOxP+ipbBERABERABERABERABEQgk0BRkTEWKDONKVIEREAEREAERKBtCEiMbJtDoYqIgAiIgAiIgAiIgAiIgAgYgSyRMRQow3XyxNtmR0sREAEREAEREIH2IiAxsr2Oh2ojAiIgAiIgAiIgAiIgAiJQgEAsVsbbBUwoiQiIgAiIgAiIQD8QkBjZD9BVpAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiUSaCah3i1/WXWRbbaj0A7Hf/B7YdHNRIBERABERABERABERABERABERABERABEaiFQDUP8Wr7n332Wff888+7N998s5ZilbZNCHB8Q8FxrrnmcosuuqhbYokl3ODBg12149/KZkiMbCVtlSUCIiACIiACIiACIiACIiACIiACIiAC/UwA0er11193l156qbvwwgvdrFmz3EsvvdTPtVLxzSAwdOhQt84667itttrKTZgwwQ0fPrwZxdRkU2JkTbiUWAREQAREQAREQAREQAREQAREQAREQAQ6l8Bjjz3mDj/8cDd16lT39ttvu+WWW86LVKuttpr3pJtnnnm8h13oSRd73XVu67u75uFxeuONN9wrr7zi7r//fvfHP/7R7bPPPu6b3/ym22KLLdxRRx3lj3t/0ZAY2V/kVa4IiIAIiIAIiIAIiIAIiIAIiIAIiIAItJDAYYcd5o455hj3/vvvu1122cXtu+++bvTo0S2sgYpqFQHrso1Aeeyxx7r77rvPnXbaae6UU05x06ZNc9///vcd58OgQYNaVaW0HE1gk6LQigiIgAiIgAiIgAiIgAiIgAiIgAiIgAh0H4H33nvP7brrrt4jcty4ce7RRx91v/rVryREdt+hTluECMmfhZVXXtmdeOKJ7sknn3Rbb721O+KII9zEiRP7ZYxQeUbaUdFSBERABERABERABERABERABERABERABDqcAB5xoQiFF+SWW27ppk+f7rvn7r///n5Ckw5vpqpfA4HwnBg5cqQ777zz3FprreW+973v+bFC8ZRkbMlWBXlGtoq0yhEBERABERABERABERABERABERABERCBJhMIhUiK2mOPPbwQedFFF/muucysHAfr0hvHa7s7CITnhK1/+9vf9qLkzJkz3e677+7wnm1V6HsGtqpklSMCIiACIiACIiACIiACIjBgCYReGs2G0Mqymt0W2RcBERCBWggwJuCUKVO8RyRdc/OCCVR5+xXffQQ45pwTzz77rJs8ebKf0ObHP/5x2tBm/nbKMzLFrBUREAEREAEREAEREAEREIFaCdTrTdOsF9+s+pRdVlYZtXJTehEQARFoNgFmzWayGmZPpmu2gghk/X7hIbnddtu5o48+2nHOWLDfzqw8lqbepcTIeskpnwiIgAiIgAiIgAiIgAiIQK9xyZqFo5YXIXt5KlqX0Ha4Xil/rWVUsqV9IiACIlAWgfgedvjhh/tZs0844QSNEVkW5A63k/f7dfzxx/tz5KCDDurTwrw8fRLWECExsgZYSioCIiACIiACIiACIiACnUQgfjGtVHdLa8tKaVu9L34RircbqU9oy9bbkUEjbVReERCBgUHA7mG09rXXXnNTp071YwGOGjVqYABQK+siwG/eEkss4c8VJrJ56aWX6rJTSyaJkbXQUloREAEREAEREAEREAERaHMCoZAWvphWq7altWW19Fn7rWxbZqUpI65M+1m2YJAVX0bdZUMEREAEWkEAUemdd95xe+21VyuKUxkdTMB+9+1cQcRudpgt+ZHtaXYhsi8CIiACIiACIiACIiACIiACEHj++efd22+/3QsGg+e///77veKyNp588kk/EcOuu+7q8PSxVxkTD20Z5sXbI5w5lvVFF120V5ylD+0Rx7a9pFkaLUVABESgEwhsuummjnvmgw8+2AnVVR3bhMCaa67p5plnHnf99dc3tUaaTbupeGVcBERABERABERABERABDqTAN203nzzTS8Ssm5/tAZB8V//+pd78cUXU2ExFBnpHsgfARtFunxlCYneQPBvrrnm8kLi3nvvnZYb7O61WsQeGYYPH+7/4nWEyGWWWSa1iYA5dOjQVMi0fIsttpgbMmSIs7qlGbQiAiIgAv1IYNasWW7ChAn9WAMV3YkENthgA3fqqaf63/7wQ17ZbZEYWTZR2RMBERABERABERABERCBNiRAdz3EQ0RDvGUQC19++WW/zTreifwRR7pqwTwM55hjDu9BiFiHIEfAG3H06NF+HQ+LBRdc0K/zL0xnnofmvVhUQEyN5ayEdmKvSzwwYWCemLQXwZQ8r776aiqisj1z5sy0hFBsTSMzVhZaaCHvVbL00ku7JZdc0gudtJ92w2LZZZd1CJghhwwzihIBERCBuglw3+Mj0GqrrVa3DWUcmARWWmkl/5vIc8Jyyy3XNAgSI5uGVoZFQAREQAREQAREQAS6kYAJaLW2rVK+SvvicuK05oXIy+d9993nhTYENrrmvf766/6FtJKQhkCGgMYfAiIef4hnbLM+aNAgt8gii7hhw4b5OERIE9yoW1yfuL7dsk07ETCfe+453yRe9BExn3nmGffBBx+kHqAvvPBCGn/rrbd6/uYlGrOAJUKseVny4jdy5EjPd8UVV/TiJUv2hyFkHq6Hacpaj+3H22WVIzsiIALlEeA+ROCjh67Z8rh2uyXOFft4yG+cxMhuP+JqnwiIgAiIgAiIgAiIQNcTwNMuL1TahwD22GOPeaGRJULjQw895L0beVngz7z8sMPLBGIhLxEsEbPwxJtvvvn8tsUhcLFu3ox5dasWX6nu1fJ20n7aiRfoqI9mpbVl0TYgFiNKcgzNEzUUixE2K81iSnl4rHDM8LjE44l14vlrVRgox7tVPFWOCDSDwBtvvOHN8rFJ12wzCHenTc6Veeed1zfOxnZulpgtz8juPIfUKhEQAREQAREQAREQgSYRsBc7e0C3ZZHi8tKaSHXXXXd5z0a872w99mrEkw7xyTzm6PaL9wvCFJ6NrDdznKci7VSavgQ4bvytvPLKfmfeucBOjjmiJUIzHq6Mz4kAzd/dd9/tu9OHJSA42PnAEtGSciiv0e7gdr6H5YXrldoRptO6CIiACIhA+xOwe368LLvmEiPLJip7IiACIiACIiACIiACA4JAPQ/qiIx0peYPUQnBEdHJPBAAh6ciQhKei+PGjfPCEl6O/CEsITwpdD4BO3+sJaGox3Hmj7DFFlv06Wb51ltveZESERuB8uGHH/ZLtqdMmeK7iWMfmwjTCJT84U3JucUfInZcB6tLLcsybNRSntKKgAiIgAg0jwC/GwRbNqskiZHNIiu7IiACIiACIiACIiACA5YAXW4RiRAbER1NgMTTzYJ5MiI4MkYTYqOJRs32bAyFL6tPGctm2S2jbmXZqNbGavvDeoRpK4l68T5m9V5jjTW8qbFjx4Ym/ToCN+cc4iRCJeuMXzl16tQ0LaK2CZOrrrqqGzNmjP/DtoIIiED3EQjvN93XOrWo0whIjOy0I6b6ioAIiIAIiIAIiIAItBUBBEbEnlmzZvXxdkREGjJkiBd9NttsM+/lSBfaNddc03er7o+GNPOFNBbN+qN9zS6zWhur7Q/rV0vaMF+8Hh9T86SN0yFO3n///e7OO+/0S8Ty888/351xxhlpUvLiQYnYyR9d/xHOFURABDqbQFn3m86moNq3CwGJke1yJFQPERABERABERABERCBtifAhCO33367Fx7vuOMOv3zyySfTeofejuZthrdjMzwdQwEqXE8rk7OiF9IcMCVG13I8yii20jEN60LX/8997nNu3XXX7dVFm2ECENTNk5flkUce6bt7Uz/Gnlx99dVTcXLttdeWQFnGgZMNERABEWgzApV+T8qsqsTIMmnKlgiIgAiIgAiIgAiIQFcRYAZkurfS1fqmm25yt9xyi3vnnXd8G0eMGOE9HHfeeWfv+YgXGRPLlB1CMSlcD18YwvVq5Yc2qqXV/voI5B2PRtjXmzerLhZnNhmn1DwhwxYz1MA111zjbr75Zof4ftlll/ndYXpESsRJPCoVREAEREAEOpsAvwutCBIjW0FZZYiACIiACIiACHQVAXuB76pGqTGeAB5i06dPd7fddptfIsZYwMNxjz32cF/60pd819WRI0f28i6zdGUvTTjCbrhebzll2Ki37IGerxH2jeTN417Npo1huu+++/pz79VXX01FScT5k046yb3//vve/PLLL+823nhj94UvfMGNHz++10RL1e6Z9vJLfaqlzWuL4kVABJpPoNr1WW1/82s48EroVOYSIwfeuaoWi4AIiIAIiIAINEig2gt8g+aVvcUE6JI6c+ZMd8EFF/huqgiSdKtmrLwf//jH7vOf/7z3gGRij0596G8xUhXXZQTsnjf//PM7JsyxSXO4Vrh+GC+V64eZvE899VR//TA5znbbbefT4nVZKZh90oTrlfJonwiIQOsJVLs+q+1vfY27v8ROZS4xsvvPTbVQBERABPqVQPziHm/3a+VUuAiIwIAkwEzXdD2lyykiJGM+mvh46KGHevERIZLZhi1w7yJ06kO/tUNLESiTAN216aLN36RJk7yXJOIkQxsgTh5++OHuoIMO8sMXkGbzzTf3nsWImrUEPTvUQktpRUAEROA/BNr53ikxUmepCIiACIhAUwnEL+7xdlMLl3EREAER+IgAM14zazACJN1L8ehCbKQ76VFHHeWY6ToUH7PAtfNDfVZ9FScCzSBQ6TpA1LexJxEnuc6mTZvmrrzySr/kGiTgbbzVVlu5HXfc0S244IJVq6lnh6qIlEAEmk4gvPbD9SIF15q+iM1G0sT1ibcbsd1Oebl3tmvbJEa205miuoiACIhAlxN47bXXfHeuLm+mmjeACYwZM8YNGzZsABNor6YjhCA8nnXWWe68885zH3zwgRc+dtllF++dNW7cOIdnV5FQRAxp1wf+Iu1TGhEoSqDItWC2uL4mTJjg/xhbEo/kq6++2v32t791kydPdgcccIDbYostHJNAbbDBBlU/CJhdLUVABFpPILz2w/UiNak1fRGbjaSJ6xNvN2K7VXntmcOWeeW2a9skRuYdMcWLgAiIgAiUToCuWxtuuGHpdmVQBNqFAF1+119//XapzoCtB+PXnXnmmd4T6/nnn3eLLrqo22effbzgQfdrvLfiUO1hPk6ftd2uD/xZdVWcCLSaANcdHwD4O+GEE/wM9eecc47jb+rUqf5Dwbbbbuu23357t84662Rep62us8oTAREQgXYmUMazS3+1r++TWH/VROWKgAiIgAgMGAI/+9nP/MQQA6bBamjXEeDhb/bZZ/ddX2jcnXfe6b18uq6hHdQgumEjaJx88snuvvvu8x5W22yzjdtpp538eHbVPCAlJHbQwVZVW0agjBfdPBurrbaa449hEhhjkg8IeEyecsopjlm899prL+9RyccEC3m2bL+WIiACIjBQCHT6c4vEyIFypqqdIiACItBGBPBMkvdYGx0QVaVmAvELMdsK/UPg2WefdT/5yU/8LL4MBcF4dWeffbYfC3L48OF1VSo+vnUZUSYR6AICvOw2ej1Ue2HGY5IxJD/3uc+5E0880V111VXu5z//uf/Aw+Q3EydOdAcffLCfBKearS5AriaIQNsReO6557wnMz2cHnnkEe/FvPTSS/uhFVZdddWK9X355Zf9RHEk2nTTTd3cc89dMX1/7Xz11Vfddddd54vfZJNN/AfNTrjf8Az06KOPuqefftotueSS/kPO4osv3l8YaypXYmRNuJRYBERABERABERABDSjcn+fA4gjDz/8sDvmmGN8F0+28YI88MAD5XXd3wdH5fcLgUYFw7DSsa2yX8hj+1Y25TCJ1NZbb+0nt7n//vu9KEk37ilTpvixJZntfuWVV/ZZ8uyYPVsWTWfpG132Z3mnnXaaHxsXb9Itt9yyUFPi+sbbhYzUmMjKsGUt2evJU4v9dk9bqf3hvqzrNtxv7QzjwnX2I3DtuuuuqUhnecIlHxIOOeQQh4CXFfit5pomPPbYY27ZZZfNSlYxLq5XxcQFdt5www3ugQce8MO3WPLHH388rSf3ns985jO2yy+L1iFOF2/3MvrRRpE0cb577rnHffe73/Xj8Mb7Nt54Y3fSSSd5YTLe107bs7dTZVQXERABERABERABERABEahE4KGHHvJdr1dZZRU/OzYz9hLHBDV4XZcRsl7iyrArGyLQLAJlnrNl2spqbxH7pEF0/NWvfuWeeOIJ9/3vf997THLdM6YkQzEUsUP5RdNl1bWeuP4s78ILL3QXXXRRpkCR15a4vvF2nI+JwRA9mRwsDogqRYKVYcsieSxNPXksb7ys1JY4bbtsV2p/uC/rWIT7rT1hXLhODwO8Hs1bcOGFF3Zf/OIX3Te/+U0/fMIKK6zgTXAeMA7sj3/843ToGrPNMqse4f4i69SrETuWlyUCHpNlIUbGIWx/LfvMPnnMhsXZdmwv3K61fbfddpvvBcKEYJ/4xCf8cdlzzz29IDznnHO6a6+91g+BQbp2DvKMbOejo7qJgAiIgAiIgAiIwAAjwAN81sM7E9EceeSR7tRTT/UTW3z729/2LxXheHJlo8qrS9nlyJ4IiEA+Aa7xH/3oR26//fbznpLHH3+8Hx92l112cXhKLrHEEvmZoz3tck03ux7Yb0bgw88Pf/hD9+KLL3r2cRlZ9+44Tb3bZTOL21K2/Xrb2Q758ETGI5Kw0EIL+etuhx126FM1xLDddtvNe1ByXrzzzjvuiCOO6JXuk5/8pPvFL37h47BVb7Bzq57jZHlZ3nzzzZlVoNs5zxeExRZbrFeaamWafTJZ2jCul7GcjaLp33zzTS8Gv/fee14svvTSSx2MLTz44IN+mBo8PRni4u67727brvHyjLSjpqUIiIAIiIAIiIAIiEC/E8h6IGfSq+WWW853O5owYYL3hDzuuOP8LNnNrLDVhZcLBREQgf4jwLWIkIH3FeOjIZT85je/ccsvv7w7+uij3fvvv9+rcnnXrF3TvRL3w0az69Es+3S5ZbKwSiGPfZynaDrLV3abaAuiqoWi9mutt9lv9jKuV9ieeF+lujD2MkOeEFZaaSWHuJUlRLJ/7Nixbvr06W7eeedl01+LsTcewh7elPwNGzbMp2vkX9iuRuzEefH8xLuQv/nnn7/X7lrKJG0tvHsVVGBjxowZ7sknn/STKOK9akKklfnpT3/a3xsxRbf4P/3pTwWs9k8SiZH9w12lioAIiIAIiIAIiIAIVCHAA/eGG27oJ7Kge+Ytt9ziZ9vFg6GVoZYXkVbWS2WJgL2AlkkCm82wm1fHWsvCE/L00093TKbBhFVMcrPeeuv5jxRWRidfs7XysDa3amn1y2OcFx/WDxtF0oV5mr1u7coqJ9xn9Q7jsvK0Os7qZeWG9Yv3WZqsJR6O//znP/0uxh3M8mYMbfPbzNAAgwYN8uOV0g26Ugjzxun4zUdsY2iGrHRZcdh444033B133OGuvvpqx3iPdL/PC3k24vRF08X52M7jXW/7wjIY75KACLnaaqulu8IyGcfTBOI777wzTdNuKxIj2+2IqD4iIAIiIAIiIAIiIAK+G+aYMWPcrFmz3CmnnOJuvPFGt/baa7eMTCMvIi2rpAoa8ATCF9CyYGCzGXbz6ldvWYwpyX2BcSXpcrvmmmv6Ca3yyumU+DweRe9JRdM1yqORcvLaWG+dGqmLlVmpTln7suLMVjOXDFmCIPXuu+/WVEwRRswoffLJJ/vrf9ttt/VjK2YVErf9S1/6kmPYBMKf//xn99RTT/l1/tEtmvT8/e1vf+tzb6Ed+++/vxs+fLhbZpll/LiHCG1sf+973+vVzrhcWFDuiBEj/IcJxq7kvoCXI6LqW2+9ldbjBz/4gS/7L3/5i49DaMXe0KFD/TbPGlZPxpNknUnyWDIu4//93/+ltuIVem+Qbr755utVJunoul5v++Jy2N57773dtGnTHGXGwY4xnuJ2fswxxxxxsrbZ1piRbXMoVBEREAEREAEREAEREAEIHHbYYX7cKcQFJqYZNWpUHzA8dPPw36zQTNvNqrPsisBAJLD77ru7zTbbzE9ss+OOO3rPKLpzDx7c/6+6iKUffPCBW2qppbwnE13MEZLoHkwX8y9/+ct9xnNDQEEMoYsl477RtZVhKpgwBJGm0r2v0r7w3Hjuuee8MPTMM8/48f7Yh8cpfyuuuGKfITBIT90feeSR1AweaFbeOuus44YMGZLus5WwLXi74a0VtsXS2dLs2TbLf/zjH17g+vvf/+5eeeUVt/jiizu84xGuYEio5X797LPPerZ007ZAWyzktQXvu9tvv90LbdhYYIEF/PGw42L5m71EgOM3koDwxqQya621Vp9j5hME/4ow4rz78MMPfa4tttgiyP3xWIi9IoMN6nDmmWf6c+Liiy923/nOd4K9/1nl+IYB0XL8+PHu3nvv9dG0h2PKeUb3cIZj+eMf/+j+8Ic/9BnHkUmsmMGb84O20T2ZmbrploxwyD0A4ZFu5NwLECg5VpSJ5yRiJyImQmNcL6vjTjvt5A4++GCffurUqe7rX/+632Xpjelvf/tbH7/NNtuk4iYRjbTPG8z4x/XJXxzCa4cJbBBBqR/HpV1D/9+h25WM6iUCIiACIiACIiACItBUAuHDsxW0xx57uDPOOMMxQc1RRx3l5pprLtvVa2kvAWFklr1wf7gepuWlh4f3p59+2osEvJDzUkMX8VZ3CQ/rqHURqEaAF28EBF6SmUW1jGDXRjNsU79m2GWSG7p3HnLIIX7cOgQbPCbpOsq9wtpUBp9abDDpFqIAY91+6lOf8hPxWH5EFljY5B7EM97escce60U3Sxcu8fxi7L255547jE7Xra1pRLTyr3/9y3uaI9DkBYQbJr747//+71TQxdvtl7/8Za8siDMEyjz//PPdIoss0mt/PW2x+zrHCxEXMYpJUli3fWEhX/jCF/xEZnikFQ0M95HVFmvPBRdc0KstlH3ZZZe5X//613283oz3Rhtt5CdYQmzNqmfRutWaDkGOPwLiLDwQUxF8i4T4ugjFZhuL0OxUa9d//dd/WVIXCr1pZMYK5zJCJKIggh7CqgWEfLwzmYDlgAMOSL2eqTOCKR8eECI57373u9/58SvJi9D485//3H3/+9/33bbxgOR5YvLkyf6PHhacm5zjJ554ohXXa0kZBMa75Jq78sorffkmRoYsuP/+9a9/9elt0h+/kfyrp32Wt9al1YmJbfAoJYxKPuRKjKyVpNKLgAiIgAiIQAEC9rBgP8AFspSWJH6Aw3AYF65nFZq33+JtmZW3FXFZ5WfFNasulEWIj20z6hDbjLeb1UbZ7Utg++239y+1DJ7PpBS1hvh8sfzxMWWbgBhw+OGHe68bSxsu6d5EFzBm7B05cmS4q+71uC5ZhoqkycpXLa6o3aLpqpWXtb9ZtmuxW0varDa0QxxtQDzHIxCPLa6dssRIriM8er7yla84Zm6t1XbIN1yHG2OmNaPO2EZE4wMGwhRdMpmIg7HsiM+7N5CvmcHKxRPy8ssv71PUBhtskMaddtpp/v5nEQhKCEK0g27oeHtdddVVXpz5yU9+0sdTzPLlLfFuxFvNxgPEsw8PKzwv6Z5LF1r2IWYwmzJLvE4JpKEu1MEmsEEEmmeeefx+RN8wMCsxop6FetpCF1mESAJebKuuuqr3rETowmOUgJiLV+NZZ53VyyPN78z5R1sQ7rhuaAvnKGKYtWX22XuPZMf932Zg5nguueSS3nuPvIh3//73v911113nxzClznzIsuOeU4W6ou1aQhzNClxbeJ/CAl4cH+oaj59odrAR1zMUEWFkIcxjcfESr0auNboI48WaF8wWv79XXHGFT8ZkVCZE2n7Ggb3wwgu9wHruuee6fffdNx2qxXiTmXONiXQs8AETMY7zj/ESmeQFMbKWEHLhGQAxEo9mPGL5WGmBuppXJB6djNVo9a+3fWHZVk7RJWVTX/M0xVM174NuUZvNTCfPyGbSlW0REAEREIGmErAfbPvhb2phkXErO4wO48L1MI2t5+23eFv2R9uoo5XPutUhjCO+mSGvrLz4RuoS24y3G7GtvJUJhKyZhALvGl4a6hEiw5LsnLW4sByLw4Pqf//3f/35TRzjU/JiTlcuXjjwBDLvKl4qbrrppl4vIWan1mVWXWIbRdLEeYpsF7VbNF2RMkkTHo+ybVsdsBuWY/FZyzLqULSsrPLLiEMI2XTTTb2gUoa90AbCGbYRIusJId9wHbt0S0YEikOZPLmXIKoxphoeVSeccEJcXMu3EU/w5sJzDU8rBCU89PC+JuBZxf2PgIjEB5nQ0wyBBw8vPPTwBsOji/tXLQFxxoRIBGa8vBCPLFCnSy65JPUaRDzFewwxg+6w/FE+PDmu++yzT+aYgrTFhMhqbUG0Ctti5wFd1E2IhBFebqHY/vLLL/tuuHjNsT5z5kwvnltbKi3DtthYf3ltoXuwCZH8NiBMMsO0BTxN8WRFqKILOeuIY+F5b2lZIvIjECH0ckxhbutsV/sjbWgbXgTibJ1tBGz+EEYRuRkm4DOf+Qy7euX3EcE/xEwCXe45dhbCMi0uXnKe4KHM7+frr78e7063zRbejATqxf3Ggu1nG0GS7tf0XmCcRLw+CUxeRcDbOK87OQInXotZXZp95uBfyC6I9qtf/epX/SQ+3HMRRc3rkJ3kO+ecc3w6RECC1b+R9nlDNf6jLnhiUkcCnqB2f6nRVMuSf3z3aVmRKkgEREAEREAEKhPgB5UHYgLju/C1tVKwH37y8fB1/fXX+wcEHjjpMmPxvAwQLL6SzTL28dBPNxMCHiY8qIV1od58CbYZ73iQpe4EBgPnK721zUf2079KdaA97LelVTHcRtBB2CGOh7qig2mHNswuy0pd/PLyhPkrrVeyXSmf9jVGgJdOBMivfe1rvlteY9Y+fhnIs8NYUnSfJKy77rr+5TruyoQ3CS+qCBu8QOJ5wQD3DHZf6ZqwMhs9F82OLbFHqFR22WVa2UWXeeXHdc5LV7ScvHRxOXnpsuKL8A3zWVnWFluGaZq1jjhCd0DG8Cs7ZNm2tjZSVpbd0F4ZZYT2EMwQRbiGP/e5z7mtt9463N3wei3H284tZr7FE9vaitBCQKS07qKIg9ybwm625CeeDzWsIxIiZDJ+IePqFgkIwHxUISDO7Lnnnn2y4d3ImHeMs8e9Di9IPBBD8Y1M1N/aFBtBTAvbgmCKIBaGSm0xNiY2kY/u4qEQSdyCCy7ovvGNb/jJPKgLYiDPWfWEvLbwDIcATKB81kOBjnx0lz/ssMPc//zP/3jRkmsS0WzLLbfMrApelHio8hwEB5gj/PG7wnaRP0T93//+996+8YoLI55nSzzk+PBmQmScLt7GW5bA0AKIvGzHZdDuOI48CKUI5QREyWrB7l/zzz9/KsTHeawdxFt61m2GaK6puC62zb5wtmny5QXLE++nrRx7zkG6fiMwhmIkIjj3GbxpGV8yZGP1rad9cT2qbXO8KB9PUsJuu+3m8J5u9yAxst2PkOonAiIgAgOQAA+z9uJQS3dNHiZ4cN5qq608Nb6I8kXV4s0mXXqKPpjF+MMHDfbF22F6vthbmXz9Z+yZSnWhuw/pScNXYITYdg/UlWBLq2+4fccdd6THhK5gdB8qErAR80UUqtTFLyy3SBlhmmq2w7RaL48Aoh/jRPLRgTG5eBmLQ3wexPtr2WasKMRIAuN80U0sa/w1Ph7gjUPZdPnk+qR+3/rWtwoV18i5mFVAEXtF0mTZrhRXib3ts2XR8oumq1SvsvfVWyfLZ8uy6xXawwuL30TGu0PA4gWYZRkB25zv2MZbK7TN8a03MIEJgj4z9JZd52p1wmMJDzu8hfBGtG641fLZ+VwpXS3H29LiiWjroW2EWrrYEvh9C4VI4sI8O++8s79nUUeEh6JiJPdZBAqEsGp5KN9mFg5nI6YuFsI6WRxLRFJrC+JgLESGaSu1Jez2TV2y7OAVxz0ZYdI+6ob2i67ntYXjwnVBQFwMhUjiwnz8htF2jgtjT+aJkQjBeEY2EhBqTYyM7TAZCx/cN998c/8RDc+4uNt5nCfcDrsg85tnnohhmrDdxNv1glcl9w5CkWFNEOuwBWf+qgUT90hnYjUen1nB6pS1r5Y4aysffxAj77nnHi/wrrLKKt4MXcAJfKwM2RHXSPvIXzTgyMDxpvcGAY9IhEire1E7/ZGu79Nef9RCZYqACIiACIhAQICHiCKh2sNGUTvVygrLiX/c4+1KtkI71dJV2t/sfUXr2ex6YD/ka10Hs7r41VOXsJ15tsM09ZShPNUJ8OLGyytexCZUh9zD9erWqqdAiOSDB94ojK2FEFmpDLp5nnLKKY5ZZ/G2Ytyq8EWZEi0/niGIH6TlRZnJb8JzOKt2ltf2IYpjA2+k/yKGbgAAQABJREFULO+SOD3eS6SnCxkiwjLJOF+Vygzzw50XJl708/Jl2bI68oHFPvhY/ctYhnWM7VmdaeuoZHD+uH5x3njb6l6UL+Vzz+HFnPsEY7DBC7G6SLD6VmIc1zHLLp4v1Bl7BF5+ETzwDms01GK7SF2tPghg1BnmhDLrbGVUWnKNM4kN4huTYuGJWEuXWOsySx5EFrZt3exkdbPlWIfeU9QRbnnCiXWNJV01Ty481bju+MDJfSYvUF4Y6GKM12O1wDnOvcQCbc4L8bVHOmsL5Y8ePTovq4+v1JZQMKXbM2Nmbrzxxr7renjP5h7QSKANMSuzx5isFjh3w0CesP3c67nnU096g3B+FO0FEtqtd52y6VmwQTIGqd2b7LorapM2MbmLBT7oZ4mRtt+WxiGckXz11Ve33bl8uT9Q5hprrFH1XMGYeW2SJ08kt0KtTrbd6JLrkmETGIKAMSLpjo9Qbb244olrKK/e9tVSV8Z5ZegLxvpEdP7pT3/qJ1KqxUZ/ppUY2Z/0VbYIiIAIiEAmgaIPEVnpeCBkfBwCD+xlhKxyitjlgSkrUMfTTz/dP4SVVcescuqNq7e9RcrLY1ItL1/N8SpBECgrWDuxzYMkgk4cLE0cr+3yCCAI8jLCwO8WQu7huu2vtuQ8y8rHS/bVV1/ts++www6pJ0NWWisDT03uKQwBgZgRCpFWDnbppscYVbyEErBJ1zsmgKCrIh4rYbj11lv9ix4iAd0B8WTgz7q5kZZ7BWKKDexPHHYplxdlPNmYoMO8UdhPOXhX4eG20EILEdUrvPvuu+7ggw/24kw4rheTfuy1117uiCOO6NMl0gzQffO73/1u6oFBPF5JeOvtvffefuIQ4uBBPIEZjvHUIZiHuN8I/jE5AHUmhHktCXXGOxVBqVqd7Vg2wtfKRVSAMR5odK+0gIcd3ie0m2McB8S9mDH1Ih+c6IYbChVW59iO3S/Zz4stQiRcYcFEJIzfFwc7J+P4StuxbdqWZRsbeXXNsg8HBBGrc57deuqcVV5WHPcWBBa6zvJXtP6k41oPu9NyL6DLJvtYsm1pWCKSkd7O/bA+HHu6a2YFvBUtMNaiTephcSxDRvZB7oUXXnBcG9QlDtW84biOEDLoYoqoyf2Ev/D+E9u0basLyzhYW2CU15Ywj41Lyj0wbAui//jx41MWdIflD854pX32s5/1x3VUA2Ikdcxqg9XPxDzSxc9qxMVh8cUX92IkNmEaz0Ydpy9jG484xkwcVQcHO45WD9qEJyVt5Tzg94iuv+G9ytLGS2wxeRSB6yAcxzHvXGTCF7pbI/TxO1ckWJ35GMX5WkmQ53cR0RKv2azjVaS8MA3PiYiR5513nmOiIoZL4FrkI2rYXsvTSPvMRqUlXpo8G3DtwBxPcATpTgoSIzvpaKmuIiACIiACVQnwYh+PhcTDSyPBHn4q2chKEz/82DYCAV16BkqwdtNe1rNY5bFoZhe/LNtZ54rF1Vr3vDYp/mMCeN3wgvnDH/7w48gS1sJzLjTHZATm6RN6boRpstbDwfXD/ZSDRwJiB2Il23TD4yUErxKGjWDMOrrU8YfHVBw4v/bff3//4oeQyEQ6iGC8DPIyTPdSvEfDlwyGO2BcWcrGC2b99df3L0R0EyQfAiWepmyPCl5SeXlD9LOZNukaT13xjqS+xx13nB9XDk7xyzdxeOIhXPHyRZmUzTi3eIEhbFQLdg2RLu8YxfEwQJSI68yHCYazqFRnyqmHL/nuu+8+/6LHsaBOeIBy/BhXlhdQPGwZs2/69Om9BOpG60vZFkIWCF+8AOMJad2NaRtp7B5FvjCP2am2zLJdLU+R/UXt1lPnIuVbGgQbxmq89tprvXeVCYzUL+8PAaXMevFskhcQBC3gWRcGO8bEZa1zvfPRwvbZ+RCeE6E9myiHczcvILBX8jwLuVi5ZqtSWyxN1pIu/NYW24/gjsDHByvuOwQEJrro8sdHIgQ/Jp9BdI7rYnbylsbIlnE67pcEeCD2VAt04zb+fHhplhiJhyAfhfAUjT9yZdUxPF7h/qx4znueT3/0ox/5+yvjf3IcqgWEMDuntt122/QeRb48vnhzIkby4ahSwDY2GF7Jfre5FzMOPPfpvMC9mqFY+DiAcMe51EjgAya/1ZzjDB1gkzQxGZR5o4b2G2lfaCdrnd8/EyK5t/B8wTUQBphlHeMwTX+vS4zs7yOg8kVABERABPoQyHtwIWE9P66N/hjH+emGhBcdD0P2sBmn6dOoIKKWtGSjLL7+IlJYN9bAXOYq3lnk42GaByIEiUrlhlzxTkBEsbzLJN0+iwY8dxAlEDIQZSgzPp6V6hGWw8sHYgk2CXSTYjxQXjwaDVm287o8hvUN1xutg/L/R/BBHOTcJoTnYaN8smzZyyW26x03NqwXL8Z4jiBE8qKDxwSz5VrAu2yXXXbxHr284NkkWrafJZ6AeKAgMjGJj419hnDCmGt4l9ElLBQjeQlHiCQtXePwIrJAGbykIKIxNpmNj8n+SZMmeVFvxIgRvqtZ6HGJeMlLJGPd8sJlM4GSDy8qPJO5buiqhkeIjQmGMLfddtv5GWRJS8gbxzDrmPwnx8f/4/sF4/0hRFarM93peWmNQz187bjCkHKxa900YcDYYXhMXnXVVX6yDiYWsQBjXpCL1JfufkXvKQgicddfyox5WT1qWebZrsVGVtpm2c0qq1Ic3YU5bngQ8rvUHyHPO4zjF+7jd4h6htcK50jWcSYOxgQ7j8J8cTu5H/FxJAzcQ/iNx9OMP7pH46mMl7fZDNPH63EaPBctcM+iq3yRgB1rS5h+woQJfjw8ejAgWiEChd7RPG9wXeDVzX2onkDZcTuwYwIT9+CsELPGe9qOUxGRMMtmkTi6++d1+bf8Vg+2w3XbX2mJ5/XFF1/sf1vw+Oe5k/t/XiCtjaXM0CJ8ICoS+EiA1zm/YfzeMElMHPid4zeUezIT8ZgYyWSIeFPyEY0PZVkfDG12euoUCpHmSWxeuXGZeduIwFZnxoqkXELYRTs8JyxtPe3Lq4PFUyYekXhbI7pm3deyzmnL3zbLBJiCCIiACIiACLSEQOJBg4tiT+IJVbG8RAzz6UibdIOrmDbemXyZTfMmDwDp7rx4ElBe8mDj8yUP0j3JQ1Gaz1aSF5me5Et0z7Bhw1L71C/p2tiTvAT3JA+rljRdJjNXpmmTr+RpfF5dEi+mNH3iHdHzi1/8oid50EjjkgeLnmT8rZ6km2lqK15JHk56EtGjJ/H2SPNRz+SFoyd5Ye5JxriJs6Tb5E28SnsSr5FCeRPBIc2bvCD0JDOW9sqXeID2JC/tPYnnUBqfeHSleaqtJAKPz5d81e5JxJoeyrv00ktTW+yvN5Rtu+i5XW99uzVfs7mF5ygMEyE7PX8SocmfU7Wwje1xXnJ98ZeIeZmmEi/FNM25556bpgmv98SzMrMuyctXmjcZpD7Nm3g3+vhkAog0zlaoI+1MBN6epFusRfv7htU1ERvS+HAleanxdrnX/PnPf07rlLz0pfUI76uWl/tK4hWUpknGnbNdPfF9MGZIwvAekczgmpbLvc7qnHh+pDZDG3l1LsI38chN7Yd8wzonY4Kl5doK5cOXurG0kFdf288yrm+4r9b1su6HWeU2y3az7IZtCM8P4u0+w7IVISw/8WzuScbx60kmj0nP67gOicdrT+Jp7NMlXsrx7nQ7tJtGBivsTzzBvB3uAWH65CODj6cuSVfcnmTil57wuSQw05OM0ZimTSbFCHf1JF3d030hTyuLtlAGf4n3Vq+8ZWxQTiJA9STekj0TJ05My6JNyfi5NRWR1RZrB4Z4/qQdHJvko0ZV22H6SsexqqGSEjRy3iceiz08w9n9N/kQ7J/d7RkuEYT9bx7ntaVJRL7M51POIUuTfCTv1bpk6BO/LxE8exJhstc+niuTiRz9/kSoTs9XO0aJZ6jfl3wY879XYWbOb37HKDcZ89nvsnzJGIs+PhHwep544oke+73KezYP7fI7hE3eFVgmH8zD3X3W62lfbMTqbfHJcCW+bMpPROCeRBTtST6M+b9w3eKyfrPNVt6ykXMnz2ZW/OxJIxREQAREQAREYMASwCuLL+94+tB1iy+pdMUgJD+cfkm3O7wF8F7iizzeenzxx7OKL6t8BV5rrbV8FyOfoYR/dDXnSzPdMZkAgD+8J/jCytg0iaCblmL1pNsGXS75WsxXZL6U0r0R7028l/CIwEMEj8k48PUZD0rGsoSJ5cX7s1peuiPR9RPPBbwg1l13XT/uEIN777fffr67T1ie1TeMy1q3Ln7wp5tQmV95zTZel2XbzmqL4rIJmKcv51grQjzuX9Y5Ven8jNMnD+y+2njNhWNehm3Zeuut3aqrruqj4nH4zB7Xu62HebnuLXAvsIAHE4EuwnhQhgE7jBdJd0wGs7dgno7YZMB7C2F7GROTa5+4cHy9O+64wyeny3iWRyleQIwHSMhqh9/x0b9q+ynb0lidKTP0fLH9mKTOdKGO68w+S5fHN2xLyJeug4TkRThzLDDs4jmWiMu9Zsa1+sI4rK839tG/uL7hPq2XQ8COu1nDK5Jg3dstvlnLuHwrh/jwerN4ZuG1PPwW5wVLkwgo3qM6tmX7LX+4jfeUBa4HPKvioRhsP97EljcRQiy64tLShzMK80ySF6zueW1hP55f8fMK5XC945GOZzHPGwTS230qr8xK8VYfawdpzfubOHqnWJosO+zD854lz2rxzNtZedo5jmfFRJzz43PSfrwfE2HWe+LhachvN/cymxkc79rkA1Y6PnDRtvHMyXMmvQvwzOe3DY9CPD/pdsz1gCcjE8XY+WrH6OSTT/ZevYxTSl0YexLPYs4PPDk5FnhbMk4vwfJZd2aGRKDedHOm/CKB4VE4L3jGJuC1WSnU0z7sheea1dvKwVuVQHzitOB/a/ht5o/fHVu3JV3tQ3tmpx2W6qbdDkdBdRABERABEegXAohujPXCQw7dcegugnhnwR4AGu0maPZqWfLigIjBg4Y9gPGgzUQQiQeP725pY+VQTx6MdtxxRy+W5nUXTbyofHdRXkSsuygPKLxsVOpqilDLfl4s6GpqAgzl0n2Jhz+6M/ICTlrruk49ebgMxRLyGNdqPJrZxa+Ztqu1S/v/86DNeYCwT7c+xv+iS3LRc6Mow9heODs1LyLW5Su0F+cJ98XrfBwg8DGCwPUU5yeO/YxZlTUeHPlGBeM6sm0h7H5tE+Owj1lxTzrpJJd4Efruw1xzvITwxwQEWeObMS4kgZdIPrpk1ZX9TGRDsPSsI2wSQnHURwT/mFCCgF3+yghWB7qiWZe72C68rWu7pbc0Vo88vmFXx5Av5yN2EZHj42m2efHlLwwmvhjjcF+4nlffMI3WyyPA8STknQfllVTdUtb5xIdAAudr4jnqr+Ow63ZolXEV+R3mNx8RBUGcj2thsPM+jLN7FXHhjMlhGtYZKxIRymyY6GLpwnplCZV8ELXAsxWCSNh12/bBgbYwwRd2aAvDXFhanjkYm49rBSYWb/ltmXgtehGM7XC8SttfaWnHgrZae8P0fIywQN0qzQ5+ww03+PZgkwl27D5q+TtxyVikPHfSdp5FTexl4iQLtJXzkedL2gxH40qaLK6Wl318/OK38aCDDnJTpkzxQwQxTJAFftMYv9IERItnyfFhWBGGyeD3ATv8ERgnkiFKeN6NA93Q+S1moij7QMn4w0Um6qFttJVJ6Tgnee7OC420L2QY2uea4XmbUIltmIf1PHtxulZv975ztbp0lScCIiACIiAC/USAh9+ki4+fGAKvHntojquTdNdLZ3PEEyYcY420fI1FxGScOF4KGC+s0oN+bD9vm6/9jFMWjreEcMLYSIxVxosFX3LNs4wHRWa6JTCoduylxZdmZqJFxEBM5OESIZbA+GeV8jI2j+XFIzPMS/xtt93mH3SYZMOESOwyvg4Pe7zw42lBqOXhyWfQv64kYA/GvEQjnuExaF/7m9lgE/Ypn2soS4wsWj5CPF67hFEfiYnWrtAGcXhfEGKxzNJRL66NOH/4Ah5eO9wfGLCe6xlvbcZNw0uEPz6s8ALHC1o4fqWVjQczfwTKC+1afVhaesQIe8ELvZ7i+obCXtyO0C7rcd689NSBfWGdY1vhttU5jGM9j29YLnWyeuEZyXrYptimbVsets2Lq9H6mm0tyyHA/YXfxKzZ5cspoTErCC3cixB7EGLwsM0SObgW+b02gZDrPBYiqUl4XlvN7FmBbTzJRmV8AOGexjNGOCZjKNKTN3wmSbpFE5UGrgV6kVhbuC/xXFSpLSZo0pbwfscHHMRFvOb5yBmOmZsWmKyYQEZc+PwRpslbtzEh4RW3hTx4vPN8xzHhGQnBEfEzDnhVm4cg+/ho3A0BLgh0CMP80U48WekNg+cn51DsARqfe2xzXmQFS8vHM85r/vBARRjk+RGPyXgG+vB+i03EatjzLMr9n99kfm/5C8+nsHzOYZ6TcUggPWVZOXl1tfzU+cgjj/R/Fpe3LKN9sW37LYvjq20bN1tWS9+q/RIjW0Va5YiACIiACLQNAR7kESJ5GKHbFi8qzLiXFWrpdscDFF/wyxAj8SgMH/qtbqF4gleUvWCY92GR7qIIC7QZMZKHJfOSrDUvdTKPKbp98oU7Dgi9eJYeeuih8S5ti4AnQDcnrkcmJyjj2qmEdZ111vG7eSAPPYUq5WEfkybQ9RnhlHMdrwteou1Fulp+Ew/s5SROnxcfpwu3+TDCyzozZ1t3bUQEuqRyH+IaZwgJmwnVuqoifFTy8LEyeEEj8EJnL3XWDuLjOmd5Y5IuK8R5Q7theurMsaq1zqEN1uPybH8cb9sMMVE0WB7S5zGmDXiUsQyDMQ7jtF4uAa5d/pJx48o1XIO1+LhnZeV3Ei9BBJJkvDv/gYH7It5peCvSBTYZk9R7gpGfCZLyBLos+3jx2qzFfLzEJvdDxBzuG0wSxb2ECUHCEAqTxCPacM7TJrpJM+Ed3Wh5hjJvQIaYScYSzGwLQ9sk47lWbQue8nzMRAzl3ktPCz6qIihTdjLOn3+G44MxgQ8Htf5+mABFfj7+Isby3GVt4ZqlLQw3Q2BGdibJ4TeADzMIpXjdwpP6ERBjqXs3BnjxxyRmtQTONbtP2jmSl5/eANYjIOu6MTtxfuLxMDYvY/aT39KH65YXIR/Bs5Wh3vY1Wkfj0KidsvNLjCybqOyJgAiIgAi0PQFmrU0G1Pb1pGthKETGDyzmaWPd7uL91tiyu92F3YOsDJahZwcPeBYQQgnWXdTi42VWd9FG8tJFhkBXnbzAw3kZIY99GbZlo/8IMEP6wQcf7Lt68ZLazHHdELUYxgDPDnsxL9JyvKLtDzEfMRKhnRcLPDkYe7RSwJuEQFfErMCLgr0s1HKew4qx3/hDxMBLGRGScWPxnMbLCY8W7ht0n8TjD1GC/bUExvHiWjdP0Ky8cLBAG7ICdcwKWV5JpKunzln8auVLexn/LWxTXG8EVERLu/fH9WWsMDumcV62rZ62zEqjuMYIIA4nE7n48996AjRmsb7clc4Ds4joyEc7xqbm2qUXAn8IJpxr4TWVTKTnjj/++PRjpNmotGTYF+wxBh9jMR511FFeIEfUpNun2ef+wLjZyWQs3lw8tATj8VE+dcRTzkRextGz33qEwaJt4dmKNtuHVWsDXo7J5IC+Oyz3DcRC6y3CR6DQY5PhIxAKwy7kZqfSkrZQLu3g424ycY9PjtDIbwWBZxvqgdc51zvdgekdglcl4mUYaD8zPmeFbr7Oq7WN30c7v+IPMJXyFrluslhbXJg/XLf9ZS+z2pIVZ+W2ok5Wli37o0wrO2upCWyyqChOBERABESgKwjk/egiRNrYMHgUMk6NhTiPiZF0u+Nlhod0lvGfdXO29Gav3iUvJkUDL1wmhozK6HoV2qHrCsHq2UheXpAYtxJmYffNsDzWK+2L01bappyinmiV7GhfexHgpY5uVpxLdOfLE6zKqDXnEN5GBMZlxdOoWkC45OWTQPfoUHi38dHs+jdb9uLFNuuMwUYIJ0zxER/9C9PH96B4G0+kZJZMd8IJJ/Ty7kS0SGa0d8cee6yfiArTXKPXXHONL8U8RkyEDcv8qBp+wQs/Hk/m9UyktdPaEaa3devKzXZYZ7ymLIQfUCyOpXVvZj2sV1xn9mcFqzNdNsOyLW1oM2t/nM4mCLJxeW1/uOT8wcsHoZdzhBDWNy4nrEO1+oblaL1+AtxP8IpkAodaPHfrL7GxnHQl56NHMktwWl/uh3bucK9kwj2eWex31faFJYdxts79AQGTMZ7xdCae31PGoGOd7p8IkEx0x0dLs8+zj3n8UgYfQPC4RiwMz/H4Q0VeW+w33NpCe22iGKurtQXvb7rumjBIPAKgCZGMAUx7uBfygajWYG3BOy4UMu15Cnu0EU9IfqP4eM39jDjqQX1Z57mKCby494YfJ8L6kK5bQ17bmEDthz/8of+j7Xjimpe9scjLa/trXcbnULX8taavZC+rLVlxlWw0sq/MtjRSj1ryyjOyFlpKKwIiIAIi0FEEwh/mcJ0v4X/4wx/8GHWIkYytxkOvPRCHjbSH8LibIA8YoU3LE3/1tfhal+GDcbW81COrLln5TOgJH5CK5rUXgDAv9ayWv8yXwLDsrPYprjMJ8PLNWKhHH32090Lh5bJZgcHrzzrrLMcg/My4SRfnMWPGZBbH4PbMXo/nDIF7RRjYxzAHCH68tCMGEsLzlFlITdTCC7RS4FoK85LWri9bcs0hqOLJwzhrjB0ZBtLh8WPBvKnp4sjQFHRPZxw3PqzEAa8pus0jYjKGJ1yoD3GMCYuQyT2T4xUG0iN0ZIVQJGC82ng4B9qB+JkVqDNjtlFnhsxgZtQ4hHXGKykcyiJOm8U3TGPsN9tsMy/o0mWV3wo4x8Em1EEQwduWEDKO62u2a6lvXKa2ixNAHOKc5ZrFK7C/AudPLYHnExs/l3uUeVUjFvIXivvYtfPKyrAhW9iOz3fEN7qD04WaIR7wiOSZBTGNSd3CkHdNkgaxHnEOQQ472Ig9G0nXaFuwwSRSiJ94T8ODP54p+ECSJ/yRr2gI28JYmtyvsroSc53z+8S9jo8PCJZ4x3NMsp4di5bfqenicytuBx+e8MyHF4Hu7wiTzQhhXeLrwcoL01gcy7z0YZp2Wc9rg9Wvk9pideYmpSACIiACIiACLSGQvIjSd68n6SrUk3wdT8sM14lMHnB9OtImX+rTdEVWEs+dNG/yAptmCeOTMYZ8fDK4ek/yUOvTJy+badpwJXkZ9/uTh/cwOnOddoRtoRzawF/y8JrmCesS1jHpopqmT7pGpenDlaSbZZom6TaZ7kq6i/r4RGjpVYc0wUcrSXdOn27UqFHprjBvGpmxkggSPm/itZnuTb50+7ikG1Max0rIIRFrfBo4JKJOr3S1biRj4aW2km5iafawvDSyxpU820XMhOd2kfRKk00g8frxxzcRJrMTlBSbiBQ9iYeGLyt5Qe9JZvLsSV76U+ucW4k3ZE/ykp6eb4moke638y0R6HuSGcF9muSltCfxlkvTsJIInT3JGFt+fzIma08ibqb77XpPXiB6wuvdbJMwEf/S8pPhFNK8e+21VxqfiAI9ydhlfh95k66EPcmYZX5/0p2yJ/GkTPMlE275+EQk6ElEvjSelcSDrCfx7PP7E2Gi1z2L/ckHG7+PdlJ3C7QpEQn9PrvfJeO52W5/L0i8qPx+6pN4L6b7Eo/InsTbtAcGWXlJWK3OyZAWPm9c50b4wjERXL3dRGjoScbrS+vMCsytzkk31V77qtU3EWO9XX57wt+FXkYKbhS9Z1FfzolEZO1JxKNC1qdNm5Yek/BeG2fGNnb5S7q1+93hORymJz6sc6Xfgzwbob289aQLsq978rGgh2tUQQQGIgF7LmHZysC1m4jG/vmd34ZEXO91329lXVRWfQRade7IMzJ58lEQAREQARFoPYHwC164Tk3CbdaTn9JecY3W1r5i4w3ArHh4UOC9wKDxeEqFwcYss66N4b5wnW53yQOYY+yi0DPH6h+mbcY69WR8M7qLhvzCsuBIN0v2h91Fw7xh+nCdvHR3I4R58RhNXvp7zWhJmrAOeDU1g0NYRrhO+ZVCpfOpGfWsVJeBvi8+FnSHxnsHDxS8khnXjO58ZQc8FC+55BLf5ZEJFSiHP8rGQwjvmzAw7iLjmlmw842uj9w38JCku+MGG2zgPf/orotX3SOPPOKzEM+MsFltgUEYzHYYF6/DJ/mo48d/w8uJcfGYOZv60L2aMeHwHmJsSBuSAhuMY8jkCsxyyyRZdE/knsVYkng4URc8r2CDx094fBhPje6KePYlgpv3WMJbiHEq8W7Ewyjsbm11pj14yOy9995+ogzuj6OS4SSIfyIZS5M6Mx4bY/kS4vZTZzwVmdE2rrON6RjW2cq1ZT18qQOTZowbN87XkS6niejseTHGro2jh6cm7Qo5xfWFC/dMJrpgHEoC9U1EOc/Y6lnG0toaM+RcvPLKK30RnO9FgtmqlhbbeBcTzDs2Lt/4xPHxdlhWpX1hunAd7328r7g+8Obl/Of8UhABEWgdAa5dZtnmOlQQgUoEZq+0U/tEQAREQAREoFkEirzo8EBjLzGN1KNSWcyUyDhABGad5YWcYHkQGQjWTdBvRP+s293OO+/sJ48Id5udMK4Z61ZP6y5KGVa2La27KNthd1GbkTPMG9fR8hIfdnkzdnRVRZS0YGXSLZwut7Zt+8tY1muz0ktuvTbLaM9AtJF1LBAQEBROOukkP3t1OH5XmYy++tWv+ut6//339zOEYhuhxoRIukMj8NH9mm7deUMnMGkB9wfGp0NsRJxJvMq8EEk3QoRChCC69JUV6P7INYcQRvc3xpHk+mUsSWa/ZVZZ6r3NNtv0KpIu0syaS1dNuiIi8CGSIupx7tMdmXybbLKJzxceH8aIY0xGhFnG/UL0pIs4XTXpHl2pa33iyem4h9iHII4pQiQTdSF8YjMrUCfqzHiU3KvjOpMnrnOWnXriEJSZtAexl+NKHRAQESLpyomAynlBME7UlzaFjBFoYWxCZLPqa/UI6+IrF/2z/VF04U3ayF8todEy47Li8tmmyzHnLQIIQz5IiIypaVsEREAE2oxAcvNWEAEREAEREIGWEDC3/8Sjp2J5dCtMfi79X/Iy3ZO8YGf+Jd6MaXwienmbdDW0vGEX6Lyu0XQnSV4cexLvIZ8v8YTpU7dq3e6sm2Dc7S6vm3bivZh28QvraN0KqX/YbTOsUF43besumrz09STjl9XUXdTyUi55b7zxxrDInkRIye1qCneYkTeZQbMnESjSvImw07Pddtulx4M0lbrlpRkrrIRd/BLRpULK/3SltO6DWV0T426Aoe1K3RKzCi16bmflVdzHBMJjctFFF/XQ9ZZu1HFX2I9z9F4L8/feU3mL85gupnTHpWt1MsZjry7Vltvs29LibUl8MjmUvy9xrSbjZtmupi0pIxFAe7jfMHRDLd1SE4GsZ8aMGT3ck1555ZXCdeQezb2W+6rde+HGNc7fSy+9lGuLazEZ185348tNVGEHdU4mHvJlZ9U579hUMFl1VzLuWU/y0ckz5vham6tmTBJQX44NrLLqW8RGp6dpxjEJmSSToPQw9AD3CtYJzS7TF6J/ItDGBOy5hKWCCNRCoFXnjvzWkycmBREQAREQgfYikPxgphVKBAnHXxzwtAjTMbg5XkhhXJzHtkMvDdbpfsekFocffrj3LErGwPLeMJaebnfjx4/3XRArdRMs2u0urruVY8uwfhYXL0kTpgu7izK4el530Q033NB76eBNZSHOu/7662d2NbW8YVdTPKSYFINZhvEOYxZOJr1g0gy6byYv335Sh8suu8yKq3tpx9b42XaewbD7YFbXxJBfbKOa7Ti9tsshEB4TPHAZBgCPQ7wL8UJjVly6+YbpwpLz4sM0Weucx8wei+deJRu2jyXniG2bTbbplstfqwLdsZmwBg/CuD5ZdQjrnYwX6/irNdD1m+MQ2qpmw9LC2Dwkq+XJ2h/WGZtxKMIgzlNtG69YPCX5qxasnZYurK/FtXIZ16eVZVtZzTgm2GZiqEmTJrkbbrjBewPjDcnvOcHKbIf2+wrpnwgMEAK65gbIgS6hmeqmXQJEmRABERABESiPAA8xcbCXijDe0mXtC9NlrVvecB9iJGOnEcLu2mzzkk93vVq6CWaVga0ioUhe0lg6W6e7KC9ndHkMu4smnjxeqEXQueKKK3x30ZhbXl7GvLOuppY3bgNdJ+muyUyyzJzIuJSMwcn4XXTfDMfai/PWsm11tnZXyxumC9er5WO/lVUkrdI0j8CoZGzBxFPXz6bKuc15ijhJN99GQt75UMtxryVtXNe88uN0tWwXrU/RdEXKzrKVFYetvPhq5VRilWezUp5q5TW6P69OjdoN82e1L46z7VbUJ6xbvetW3yL5GU5ljz328B+++OjFeK+JJ08qRIY2OqX9YZ21LgKdTCC+5mq5tju53ap77QRmS06Ovm99tdtRDhEQAREQARGoSoAJF/CuY4n3XTMDP2/xA1FZ5fEixCQGySy5fkIDlvUE+wluRj2TLmrek5Nx2ZhkAo8eG7OuGhvyMpYck1yMGDHC58X7qkhg3C7GVEtmzfUTXOBxVk+oVsd6bFqeemxXy9PKc9va0c3LLN6cW3gvn3HGGX5SCjyiDjzwQO+F22ksstpXpA315sN2I3mL1I1xMZlohvtZMpu2H1fR8lUqO9wXrlveepb12qk3Xz11zMtTRh3KsJFXv/6MT7r/+7FkjznmGJd0lXe77rqr79XAR4s4dCuDuJ3aFoE8AvZcglBPbxkFEShKoFXnjrppFz0iSicCIiACItAvBOp9oWiGwGcA6M7JX6OhrDpmMarUrbBauexnhm3+ag0In/w1GqrVsRH79diuJ08jdRzoebN4c14lY0e6/fbbzx155JF+5l4muUGUZIKUWrpG2zVjy2bwrmQ7q31hHfLyVssX2ihjnXoQainX8oTlk79Im2opJ7Qfr1ezU6Qusc1WbVere1iPdm5HWM9G1/kQwYRBXO/JeL5+ErVDDz000xPSyqqFo+XRUgREoDwCWfenrLjySpSlTiOgbtqddsRUXxEQAREYYAT0QlH9gJfNqGx71VugFCJQnADDJpx99tneO5lxJX/2s5/5MRPpvk1X7qzACxDBlnaO2zIrT16c2cjbb/H12C4jr9mIl/XUhzxF840ePdofF8b2TCYSiYsvbKdPxiZEFG1TE4ou1WR/taPoNZDV2Frycj0zvAgfxpgle+ONN3bJxFB+HGkbGzKrDMWJwEAmYNeY3YezxsxuBZ+s+1NWXCvqojKKE+D8sXMmHCPezqvilqqnlBhZnZFSiIAIiIAIiIAIiIAItBEBXmgQJX/72986hiLAM5JuwqussoofV/Kcc87xHlRWZXsBsqXF17Msw0Y95bZ7HialQRBmzFqbIKsZLy/tzmEg1K+Ra6BaXl6CL774Yrfeeuv563nKlCluwoQJ7t5773VTp051iN4KIiAC+QTsGrNeKngWK4hAUQKcPwyJQWAySgt2Xtl2GUuJkWVQlA0REAEREAEREAEREIF+IcCQCXTfZLKlX/7yl+7tt9/2ohizGDOmHGMfEafQegLNeHlpfStUYrMJMP7jTTfd5K/XxRZbzHfD5mX4hBNO8B8bmCWbjw8St5t9JGS/mwjw24ggyQSMCiJQCwHOmeHDh7tRGePx1mKnWlqJkdUIab8IiIAIiIAIiIAIiEDbEjCBgi/4dOnEg4oZ3SdOnOiuuuoqP2nWMsss4yZPnuzuuOMOP/FF2zamwyvGsbDj0eFNUfVLJpB1Xtx1113ugAMOcFyfeEJOnz7dX7c33nijv46//e1v9xqDWOJ2yQdF5rqewBprrOGuueaarm+nGlguAc4Zzp3Bg5s7xYzEyHKPm6yJgAiIgAiIgAiIgAi0kECWQMFDNJPdPPnkk27GjBlu7Nix3nuSeMaf23vvvd20adN6eUyGYkm43sKmdHxRHIus49HxDVMDaiYQX0OcF3hA8oEAAZLrcMyYMX7M17XXXttdccUV3guS6/bzn/9801+Ca26QMohABxLYbrvt3EMPPeQQ/hVEoAgBxurlnOHcaXaQGNlswrIvAiIgAiIgAiIgAiLQLwQYuxAhkrEl//GPf7gTTzzRz7p95plnuq997Wtu4YUX9l26zz//fPfWW2+ldcwS1GJxJU2sFREQgT4E7BpiiASuL8YTpQv2pptu6o4//ng/FhndsLkuL7roIrfZZptlTnzUx7AiREAEChHgN4vriklITjvtNHmtF6KmRJwrhC222KLpMJrrd9n06qsAERABERABERABERABEfjPTNkmgPASZuvGhm7ckyZN8n8Ij3hMXnbZZX5MSSa8oTsSk2PgDYBnFuvhTJKxPbOrpQiIwMcE8H7Es+bWW291F1xwgV8iSDL2GB8GNt98czdu3Dg/HtnHubQmAiJQNgF+sxj3b+utt3ZnnHGGO/DAA/11WHY5stc9BJ599ll/rvCxlmemrGepMlsrMbJMmrIlAiIgAiIgAiIgAiLQMgLhg3IoFobrWZUZOnSo/+pvX/7vvPNOd8MNN3jx5JBDDvHdtxEn6daNeEI3UtbnmWeeLHOKCwiExySI1mqXEkBopAso47Ey2/WsWbMcM2IPGjTIz4Z96KGHehGS66dI0PlThJLSiEA+gfgaOuqoo/x4rIybjBdys8cBzK+Z9rQ7gf3339+fH8cee6yvarVnqUbbIzGyUYLKLwIiIAIikEkgfhjKTKTIUgiErMN1jP/73/92n/jEJ0opR0Y+JmCcbfnxHq21kkCjD8p2/Bi7jj8mzEBcYSKNm2++2Y9vd9BBB6VNWnnllb2wstFGG7m11lrLjRgxIt1X9orVLctupX2WvkgaS1vmstFjUmZd+stWK9gXKaNImloZvfbaa158vPbaa/3EGAiRXDOE5ZZbzk9As+666/phEOoR73X+1HpElF4EehOIr6GRI0c6ZqTfZptt/BitCE6EZtwfetdEW+1AoOhxPumkk/wH2V//+tct86CdLalcTztAUh1EQAREQAS6n8DMmTP9zLaME0UXSIXmEeBhlJ/4Sy+91Ht2sR0/oDav9O63HD/c8UKO1wHn+Prrr9/9AAZQC5kEB28vPL9uueUW3+30nXfe8QSWWGIJ7zG5+uqru5VWWskLlLz41Rri86nW/EovAs0i8Nhjj/nz/8orr/RLtumKzRAG/I7j8cj5z9AGSy+9tJtjjjmaVRXZFQERqJFA+Nuyxx57uN/85jd+8jbGkoxDmDbep+3OJFD0mDJ7Nl2z6S3COdIq71mJkZ15XqnWIiACItCRBEyM7MjKd2ClmZwDTy5mxWOSAIXmE5AY2XzGZZdQ9GHdysUzjPHwTKBkyThLFhhnCZGGv9VWW80vP/3pT/tuq5am1mWROhZJE5dbT57YhrbrJ9BM/rHteDuuNd6NjPXIh5W7777bL1mnyzVh0UUXTYVHBEj+iFMQARHoDAJ8REBwYkb7o48+2u233341i07V7iOdQUK1DAngEUkPEIajwYGhHo/20F4t6xIja6GltCIgAiIgAg0ReP311/0LTkNGlLkwAQYsRyRZaqml3G677aaZFAuTqz8hAtSwYcPqN6Cc/UKg0Resl156KRVvTMjhIwAvfwS8yPgwwPmBB6WJlZwrtXgsN1rPRvP3y8Hp8EJbxbxoOYjpDz/8sPvrX//qHnjgAcd4qc8995z/reB85XxcdtllUzEd0ZHzNRYeKY9Qy/nb4YdS1ReBjifANY6H5JQpU7wX3Iknnujw8FcYeAR4P0CEZAK/iRMnulNOOaWPEFn0d6VeehIj6yWnfCIgAiIgAiLQJgSyHhaef/55t8MOO3gBcvbZZ3dnn322q6f7aJs0saOqkXU8OqoBA7SyZR83PMoQJENPs3vvvdfxUcYCAg9CD0Llggsu6FZccUW/PSqZebhSKLuulcrSvuYSKHIsSUOoRfijOzXnH0L5448/7s9DPB95ATWRHA8YO+fMi5fzsZWeMc2lK+siIAJZBM4//3y3zz77eM/n3Xff3e21117+tydMW+TeFKbXemcQ4HfgtNNO87Nm0x0bQRoxslVds0NKEiNDGloXAREQAREQgS4hgFfkueee68XIOeec0331q191++67b5e0Ts0QgeYRaPYLGGNQ8jLA3/333+890/BUM4GIliEG0d0bURKhcoUVVvBLtomvRSyK2xNvN4+kLDeLAMfwrbfe8mIjno4Ij5xLnFt8iEKEtO7V1IGXTCaX4VxCdESAZJ24/ngBbRYX2RUBEShOwDzjpk6d6ieh4r4wduxYf4/gQ1ktvzPFS1XKVhPgt+DFF19099xzj5sxY4b/feDDFuNDHnfccX6s31o+dJVZf4mRZdKULREQAREQARHoJwKhwMAM2ltuuaVjkg2LHzJkiLvooov0cNlPx0fFikA1AohKiEjmvfbUU0/5dTzbQm827CBK8oc35fLLL++XiJS8QK6yyirygq4GuwP2c9zNsxGxEY9alpwfnCuIjtatmvv80KFDHWOTDh8+3IuMDAfADPHM+F5JWLDfiA5AoiqKgAiUSMCufe4n06ZN8zMp48nPvUWh+wjw28CwG9ttt50XInl+KCpC2rlSNhWJkWUTlT0REAEREAER6GcCiI6nnnqq+/DDD9OaIEbutNNOvut2GqkVERCBugnED+fxdi2Gq+VFdEKYevDBB32X21deecWvI06ZMBWXx4sG4hTeLYhRiJWMUYmIyRhhbPNysthii/nJdarVIbav7doJ8JKPyPjyyy/75aOPPpquE8+x5JjmiQEcO7wZOX4Mu4HwjNjINvtq8XKsdLzz9uXF105COURABPqDQN41bPEs+RDGPYhJreKAeEUahc4hwJjV/N7zO8F6HOzYx/Gt2JYY2QrKKkMEREAEREAESiZgDw+2NPMffPCBH/vlhRdeSB8YSTPvvPN6UYKBqgcNGmTJtRQBEegCAohYeM498cQTjnEpESt5mTSxki5aTFISdgW3ZvNyiVcdLysIW3haImCyjljJHyKXedex5J6CiJn1YmN2a13G97Jq+enaTvf1ekKtZYVlwBDhkBd1lnSBsxf3N954IxUbOR7E03XahMbQjq0bWxOHERthz98yyyzjjwtx7FcQAREQAREQgW4hIDGyW46k2iECIiACIiACCYEbbrjBHXbYYZksmMjm4IMPdhtttFHmfkWKgAh0H4FQeENAQ6BEHEMoMyENTz0ETYQzuoSzTppqgQ8bSy65ZJoMzwvzzkPgXGSRRbxwibiJp6YFBM1QyKSO2LG8YZ3Ddcv/7rvveu/vSZMmOe5rFrLSsi/u5o6gSPtNnKX9NsaiCbvYsrx85GHbxEe/o8I/hEPaT5tgwjbtN8GRJQwQGW1ctry6VyhGu0RABERABESgYwlIjOzYQ6eKi4AIiIAIiEBfAttuu61/YbYX6TAFL/rzzTefu/jii8NorYuACIhAJgHz+EO0Q9BDsDORkm3GpQ1FvVD0Q9TjjxDmyyyoxki6KOPBiXjKXxxq7UpoHqDYCdfZDgVWRES6urNETLW0bCMqEse6iarkVxABERABERABEehLYHDfKMWIgAiIgAiIgAh0GgHEx7vvvtvPmJdXdwSFV1991TFA+ejRo/OSKV4EREAEPAG89yzgxVdviL3+TOTEngmHJmTGacNtS3vhhRf6MTMZM/E3v/lN1WqFgiKJEQtpW6OiYVi3qpUIEtSbLzChVREQAREQARHoaALyjOzow6fKi4AIiIAIDFQCWS+zjAnH2HAW6I558sknO7oyLrvsshbtFl54Yc22m9LQigiIQCcR4N63zTbb+IlfqPdZZ53lllpqqU5qQq+6/j975wEnRZH98be7ZDAi5oCengnTnTmCeiqCAcUTFUyIiuIZUM94ioroYdZTObgzn3rimc+EGTP+zTkrnqCiqCh591/fmn2ztb3dk3Zmd3b3vc9nprsrvHr16+qe6V+/ehV3L69XwB3kUiZax44NAUPAEDAEDIFyRsA8I8v57JhthoAhYAgYAoZAAgJ4CEWFqYvLL7+89zQijwdYBI+mDTbYwO/blyFgCBgCLRmBjz/+2BOReg+877775Oijj/ZdiiPt4tKas/9Re7QfapPm61bTbWsIGAKGgCFgCLQmBOoiPremXllfDAFDwBAwBAyBNopA+GAbLuwAHDzcmhgChkDbQKC1Xu8vvfRSemo3fXzooYeEBW2Q8P6nZzkuTfPitqXGLZs9mq9bbAz342y2NEPAEDAEDAFDoKUhYGRkSztjZq8hYAgYAoaAIZAjAjxU89EHWd3mWN2KGQKGQAtEQMm01nK9a3/0VDzzzDPpexppLI7z+OOPa3ZB27CNELcwvSDFVskQMAQMAUPAEDAEYhEwMjIWFks0BAwBQ8AQMARaBwI8WNsDdes4l9YLQyAXBEIyLZfy5VgmvGeF/fn+++/lgw8+kOrq6rTZ5N97773p40J2wjbC+knpYRnbNwQMAUPAEDAEDIH8ETAyMn/MrIYhYAgYAoaAIWAIGAKGgCFgCJQIgSQSkCnaIRFJ8xCX7777rnzxxRclssbUGgKGgCFgCBgChkCxETAystiImj5DwBAwBAwBQ8AQMAQMAUPAECgYgdAzMlTy2GOPpQ+VsKQs+yxkY2IIGAKGgCFgCBgCLQMBIyNbxnkyKw0BQ8AQMAQMAUPAEDAEDIE2gYASjWFnFy5cKFOmTEknKWFJWfYnTpyYXsgmXch2DAFDwBAwBAwBQ6AsETAysixPixllCBgChoAhYAgYAoaAIWAIGAKKAFO0s8mjjz6arYjlGwKGgCFgCBgChkAZINCuDGwwEwwBQ8AQMAQMAUPAEDAEDAFDwBBIRGD11VeXSy+91OfjCXnCCSdI3759ZaeddkrXWXLJJdP7tmMIGAKGgCFgCBgC5YuAkZHle27MMkPAEDAEDAFDwBAwBAwBQ8AQcAj06NHDfzRGZGVlpXTv3l023HBDw8cQMAQMAUPAEDAEWhgCNk27hZ0wM9cQMAQMAUPAEDAEDAFDwBBoqwhoPMn27dsLcSRNDAFDwBAwBAwBQ6DlIWBkZMs7Z2axIWAIGAKGgCFgCBgChoAh0KYRaNeuncyfP79NY2CdNwQMAUPAEDAEWioCRka21DNndhsChoAhYAgYAoaAIWAIGAJtEAGmauMZaWRkGzz51mVDwBAwBAyBVoGAkZGt4jRaJwwBQ8AQMAQMAUPAEDAEDIG2gQBTtauqqmyadts43dZLQ8AQMAQMgVaIgJGRrfCkWpcMAUPAEDAEDAFDwBAwBAyB1oyAeUa25rNrfTMEDAFDwBBo7QgYGdnaz7D1zxAwBAwBQ8AQMAQMAUPAEGhlCBAzcsGCBa2sV9YdQ8AQMAQMAUOgbSBgZGTbOM/WS0PAEDAEDAFDwBAwBAwBQ6DVIGBkZKs5ldYRQ8AQMAQMgTaIgJGRbfCkW5cNAUPAEDAEDAFDwBAwBAyBloyATdNuyWfPbDcEDAFDwBBo6wgYGdnWR4D13xAwBAwBQ8AQMAQMAUPAEGhhCJhnZAs7YWauIWAIGAKGgCEQIGBkZACG7RoChoAhYAgYAoaAIWAIGAKGQPkjYGRk+Z8js9AQMAQMAUPAEEhCwMjIJGQs3RAwBAwBQ8AQMAQMAUPAEDAEyhIBIyPL8rSYUYaAIWAIGAKGQE4IGBmZE0xWyBAwBAwBQ8AQMAQMAUPAEDAEygGBmpoasZiR5XAmzAZDwBAwBAwBQ6AwBIyMLAw3q2UIGAKGgCFgCBgChoAhYAgYAs2AQEVFhVRVVcmCBQuaoXVr0hAwBAwBQ8AQMAQai4CRkY1F0OobAoaAIWAIGAKGgCFgCBgChkCTIoBnpJGRTQq5NWYIGAKGgCFgCBQNASMjiwalKTIEDAFDwBAwBAwBQ8AQMAQMgaZAwKZpNwXK1oYhYAgYAoaAIVAaBIyMLA2uptUQMAQMAUPAEDAEDAFDwBAwBEqEgE3TLhGwptYQMAQMAUPAEGgCBIyMbAKQrQlDwBAwBAwBQ8AQMAQMAUPAECgeAh06dJD58+cXT6FpMgQMAUPAEDAEDIEmQ8DIyCaD2hoyBAwBQ8AQMAQMAUPAEDAEDIFiIFBZWSkLFy4shirTYQgYAoaAIWAIGAJNjICRkU0MuDVnCBgChoAhYAgYAoaAIWAIGAKNQyDqGVlTU9M4hVbbEDAEDAFDwBAwBJoMASMjmwxqa8gQMAQMAUPAEDAEDAFDwBAwBIqBQLt27eqtpl1RUVEMtabDEDAEDAFDwBAwBJoAASMjmwBka8IQMAQMAUPAEDAEDAFDwBAwBIqHQJSMLJ5m02QIGAKGgCFgCBgCpUbAyMhSI2z6DQFDwBAwBAwBQ8AQMAQMAUOgqAi0b9/ex4y06dlFhdWUGQKGgCFgCBgCTYKAkZFNArM1YggYAoaAIWAIGAKGgCFgCBgCxUKgqqrKq7JFbIqFqOkxBAwBQ8AQMASaDgEjI5sOa2vJEDAEDAFDwBAwBAwBQ8AQMASKgACekcSJnD9/fhG0mQpDwBAwBAwBQ8AQaEoEjIxsSrStLUPAEDAEDAFDwBAwBAwBQ8AQaDQCkJFM0V6wYEGjdZkCQ8AQMAQMAUPAEGhaBNo1bXPJrfFnQlfBmzp1qkybNk1mzZqVXMFyWgwCnTp1kmWXXVZWXHFFIdi4isb40fMepkfTNM+2hoAhYAgYArkhoPfYTKXD395M5SzPEDAEWgYCNbVmRteVTkpvGb2Kt1KnabdkMrJGqn3nKiTlH9LwPKXya2oq0s9J8WhYqiFgCBgChoAh0LIQqGOGmtHuH3/8Ue666y657bbb5JVXXpHvvvuuGa2xpkuFQLdu3WSLLbaQvfbaS/bbbz9ZbLHFYpsyIjIWFks0BAwBQyAvBHK5l+ZSJq9GrbAhYAgYAk2EAJ6RSGucpq0vk9wsdC92r07hYN+GgCFgCBgCrQeBZiUjP/roIxk1apRMnDhR5syZI2ussYYMGjRINtxwQ1lmmWUE8sqk5SOAhysE89tvvy2TJk2S4cOHy4gRI2TAgAEyZswYWX311Vt+J60HhoAhYAgYAoaAIWAINDMCUY9INSdMby0e0TrbBs/Ilton9YhscJ6UhZTwzGkp2xoChoAhYAgYAi0fgSYlI8M/CmeffbZceOGFPs7LwQcfLEcffbQnIVs+pNaDKALheSfvrbfeknHjxsm1114rd999t5xyyily1lln1ZvCHdVhx4aAIWAIGAJ1CHBfRXL1lsm1XF0LtmcIGAKtFYHWcj9QMhLPyNbSp3DMRf8/R4/DsrZvCBgChoAhYAi0NASadAEb/ijw9vKQQw7xHpF9+/aVDz/8UMaPH29EZEsbOXnYG/2D2KtXL7nyyivl008/lYEDB8p5550nQ4YMsRiheWBqRQ0BQ6BtI8B9lY+SkpnQoExSuUx5mXRaniFgCLQUBIg5mIo72FIsztVOJSMXLlyYa5UWVa7e/2f3/qnCv4NqveezRZ0cM9YQMAQMAUOg0Qg0qWckRCRTc++//34/PXfkyJGi8V4a3RNTUNYI8MAb/qnimAVt/vWvf8lmm20mJ510kp/KTexQm55f1qfSjDMEDIEyQiC8ryaZla1MtvwkvZZuCBgChkBzIqDPEK0xZmQsrn7qti5xE1vCEg0BQ8AQMAQMgRaDQJOSkcOGDfNE5B133OE94loMSmZooxGIPuzqMdvjjjvOE5MsasMYuemmm2zKdqMRNwWGgCFgCGRHQO/F2UtaCUPAEGiZCFTWxlNMWT958mQ/S6ll9qW+1R9//LHv20svvSRff/11/cwWdoRw2P4AAEAASURBVFRTu5p2RcSLdZutt5Sqdu5xrUIns+m2hXXQzDUEDAFDwBAwBCIINBkZSYzI66+/3ntEMjXXxBAIEWBMTJ06VY4//ni/oM25554bZtu+IWAIGAJtGgEWAWMxMAQCEe/yadOm+cXfFBjSKitTxIOmffbZZ373tddekx9++EGT622XWmopWWSRRWoJC/coXF0tyy23nHTq1KleOTswBAyBlomAvnS48Pyz5KzTz5Eq1w2WRWnptFanjiLLLlspI4c9JXPmtsxzo1brRHrOCfv4P7I9+9wz5c9nnO32TAwBQ8AQMAQMgdaFQIV7eCm5vz+rZq+33nqy8847+5WzNcZL64LSelMIAgw//ZNMfbwjWV393Xff9aRkNL+QNqyOIWAIlCcCLf36Du0P90Gb4xkzZngCERIRMlHJw5kzZwofyvz6668+jzpffvml/Pjjj+ljXtAQ3gRRAtIf5PEFobjsssum286jar2i6FByklAaEJj8lpOu244dHTPgZPHFF/cfbVvraj1VHMVM04u1LbX+YtlpegyBYiCgf+bj116ulqeefFL27r+DrLKEyFkn7Sgdq+Y5QnJ+MZo2HUVGoEbay/yaTnLORY/I25+LPPD4JOndZ4eMrdj9LiM8lmkIGAKGgCFQhgg0CRnJ4iS33XabX6ymZ8+eZQiDmVQuCHz11VeehOzfv78wnd/EEDAEDIFSP2Tlox/CEJKRl2wQjEoyksb+9OnT5dtvv/X7SiRmOoMQdkrsLbPMMrLEEkukjyHxIPiwr0ePHj6ebmgr9aIxdpNIy7Be1B5I0tmzZ9d7MaTEqZalX3PmzPGHSqayaARTI+lntLzWi9sSL5h+Lrnkkt4Dk350795dVlppJVlsscVkrbXW8mQm5UwMAUMgNwQykZGzZ82QXmutJO3nz5a7/3GArNR9vrQTd83LPKdcffFsm/JFbH4catzZWSCd5csZHWX3g26Sme6d1NvvfyE9ll0pdjBkur/HVrBEQ8AQMAQMAUOgDBAoORnJQwvTvQ4++GC55ppryqDLZkI5IRD3B+qYY46Ra6+91j/k8pBqYggYAoZAUyAAmfjee++lSUbikUGyMdUZL0X2dap0aA/3KbwBIQ/56D7kImShEo7kcdy1a1dPLoY6WsJ+3P06zm4lJsEKkhbCEiKT/wN4foIlWHMc7kd1qSclLzFXWWUV/1/iN7/5jSdrwRzSspS/Ebn2N2q3HRsC5YTAwgXzZEC/beTZR16SCZf0kZ036yGdKmdIRbVbgZrlmWucL6VtywqHandKICTnSneZ/NovMuSY++U3668qk196z8WP7FBOw8tsMQQMAUPAEDAECkagpGQkf+RvuOEGOeSQQ+TVV1+VDTfcsGBDrWLrRiB86Hvrrbdko402kiuvvFKOOOKIet46rRsF650h0DYRCK//YiMQ6oYcg2yELGOrZCP3HAjHqCejkoiQimussYZfaAtSDFIRIgwvPl62FRp6JLQtU78zlcuUl0lnc+Rls1WJScJ0QFq+//77nrRUghjP+bhVc1dffXX//wISeN11102TlL169UpPLae/2dovZpnmwNfaNAQaIrBAxo45R8497VwZeejycvxhO0gXmS7tan52BCQegCZlg0CMa+uCmm7ya8UycvHfH5bLrp8uI04+WkZfeJkzuV1O97Oy6ZsZYggYAoaAIWAIxCBQUjKS9vr27esf8ni4MDEEckVgk0028R5ETzzxRK5VrJwhYAgYAukpwxBbU6ZMkXfeeUdefvllT0BCQoaEI151fCCtILSUdGRLOtOGq6pY6qG0kgtJVloLSqO92P3Cu5JzyEe9WPG8hKyEUMbTknQVSGKmekMe8zL097//vd9yfjm3JoZAS0Ygyl01vN6q5a3XX5JtN9tCNl5T5ParDpJF2n0t7Src1OwaixXZEs493pELXezIXyqWk6EnXS8PPSvy4OP3yTZ9dnXmG5ncEs6h2WgIGAKGgCGQjEBRyMiGf4DqGiTO1b777itXXXVVXaLtGQJZEDjppJP8VG1Wfy3U6yhLE5ZtCBgCLQSBpN8YyClIKFaK5vP66697L3wWhaEOgrccRBSkFNN9N9hgA09O4ekIKRWVpLai5fRY2wkX4tK8Qra5tp9ruUJsaGyd0LZwv7F6c6lPbEvieTI1HDJajxkf4RR7xgUk9MYbb5wmKfF2td+bXFC2MuWAQJSMrG9TtUyf9j/ZZvPfSvXM2XLfzYfIakt+Lx3FkfVuCrBJC0CggrnaqbM8V5aU6bOXlYGHjJcvZ4q88f5ntfEjjZBsAWfSTDQEDAFDwBBIQKBdQnpeyUkPYXim4LVg07PzgtMKOwSYaseDI1Mn8VgKpakfbsO2bd8QMASaFgG93pV4hGB68cUXPQkJEUk6ArkEmXTooYfKb3/7W08+KgmZD8GU9HuW1Ot8ymtfknSRnqu+XMtlaou8OJvi0rLpCfOxTXU0xk7VEerOtg/BrCTzwIED6xVXD0oISiWxiU+sY4gYlYwZPpCUv/vd72Tttdc2grIeinZQLghk5hSr5YRjj5Tpn8+W68duIat0/1HaV8xyF3y1Nz91bZXe67tcsCpvO2rPSa2nY/q8EtMTcdPp28kvsnTnb+SaC/vL3sPul9137SPPvfS2SFWnnH8zUsrs2xAwBAwBQ8AQKB8EikJGJnWHqVT84WGKFFLIg0WSbktv3QjoogSQ2VEysjEPt60bNeudIdA6EGAqNcTRCy+8IK+88or3cIM8mjt3rv8dIVYjcWVHjBjhPR0hjrhPZCIdm+P3J9pmpntXtGy2M5lvedUXrRdnU1ya1s91G6cj2nY2XXE6stWJy9d2Iav5hMKK4G+++aYfY3jWMqV/woQJ6dkcSlAyxjbddFMhhEj0NynUZ/uGQDkgMPG2G+S+fz8gRxywguy41WrOI/Irt0ZNLblVDgaaDdkRSLOSjnN0S9lUynxZq+cyct6p28iI059xZPPhcunfbnB6goLZtVoJQ8AQMAQMAUOgbBAoKRmpU6L4M48U68GibNAzQ0qGgI6Z2bNnl6wNU2wIGAKlQUDJn1y145nGNNp77rnHE5CQkOqtxsrT6623nhx55JF+Om0uxGNcu83x+5NPm/mUpX/5lldMCq2n9Ruzba62M7VLTFD1htS+QYZDUEKEKyFOqBmNN8rLss0331x22GEH6d+/f8HkZL7Xidpn27aJQPK07JRnncYQnPLy83L4wYfJpuuInDjsD9JBvnVE1kJHWVW7lzkVtfcO1dY2sSyvXqemWnN+UpI6rjtXqVTy27uFh/bo01Ne3vNl+fs1N8t2O+4mew7AAzyX6dr19ae02rchYAgYAoaAIdB8CBQlZmSS+U8++aT06dNHWISkd+/eScUs3RBogICNnQaQWIIh0KwIFJM4gdTB0/Ghhx6SBx54wBORvLzCsxHPNYgeFhthyzGrWkelmPZEdduxIRBFAHKcEAEaJgCSkjAiCOTk1ltvLYMGDZKtttrKhwjwGfZlCBQRAaUPG/rB1ZFMNQt+kS03XVemffC5TJzQX3qtXCXtK2dJZU0qnIWaY/dPRaKctnXnEavizrcuaDOzennZ/dDr5LPvRV6c8p6suMpvc3hBVV9/OfXcbDEEDAFDwBBomwiU1DOybUJqvTYEDAFDoHUhoA+uuo32Lik9LMeiIk899ZRMnDhRJk+e7GPCQj6yiMjpp5/uiUe8HtUrOqwbt5/J2y2uvKUZAoUiwPiGEIdw5KNCKBrISQj1+++/X+6++26fxUJJEJN4Tm6xxRaCd6+JIdAQgXhyKI6Eom6UhKy776pXXLUcNHhv+eDVz+X6y3eUtVfu4rwi3YI1C93q2Vqk1gi7fzY8G+WWEp5vPdcVLuZnVcUc6Vb1g1x+7gDZ97C7ZOc+m8lLb37hfjsX9QRmWK9+nyKDoH6mHRkChoAhYAgYAk2OgJGRTQ65NWgIGAKGQMtCQB9cdRu1Pi4dT0c8nJl6DUnz3XfuodgJU2JHjhzpveUzkY/68BVty44NgaZEINM4JB4207T5XHPNNd5TEqId0n3cuHFywQUXeG9fxvkBBxwgO+64Y4OYlWFfMrUVlrN9QwAE6t93F8hN14+Xe/79sBx38LLSe+PlHRE53RGYcxsQka4iQdwNxHJHIDhP6XNdUe2n27ev+EXWXaW7jD51Yxl++hQ5/uhDZPwNt7se2WNduZ9Ws88QMAQMAUOgDgH71arDwvYMAUPAEDAEGoEAU1kffvhhufnmm2XSpEkyc+ZMYbGZbbbZRvbYYw/ZZZddcp7Cmn74CuwxsiYAw3ZLioCOtbhxmNQwHpF8Bg8e7MlJQhHccsstnpQ//vjjfcxJiMm9995b9txzzwbEZD5tJdlg6S0JgXhPtWTPtqS+Vcu0qZ/KycceJZutJ3LcoTtLZ5nmPehiaxgRGQtL8yfqeFCP2eTVzitr5nmv1/591pbn9vxQbrzxP7LTLtfJPvsNdd1I6VG6Of/x1PxImAWGgCFgCBgCbQMBIyPbxnm2XhoChoAhUFQElKyBgCR+3o033igPPvigMHVVCZntt99edtttt6Ktcm1kTVFPoSnLgEBjxxohCMKFcT7//HO59dZbvdfkGWecIaeeeqpst912fjp3v379ZKWVVspgjWUZAkkIVMv82b/KTn02l06Owxp71gHSpWqm84+bhetkXeDBpOqWXr4IZCCNK2SBO8cLpGPN9zLq5P1l6rRr5IhDDpfVfruOi7e8heuTEpvl2z2zzBAwBAwBQ8AQsF8rGwOGgCFgCBgCeSPw9ttvyzHHHCPLLbecX6gMIpLpqs8//7x8+OGHcuWVV8qAAQMyEpE02ljSJ2/DrYIh0EQIQNirrLLKKnLKKad4wn7q1Kly6aWXyty5c2X48OGy8sor+2sIj2K8iU3aGgJ4wqk3XL59r3bj6gT54qPv5ZKztpA1lpvrSKpfUkqC8ZevVivfBAjUuEcwPg2EtEg6xHKtcFfRO0uVm67dVabKmFP2lqW6iQzaexeZPetHX5IadbVqK9vGEDAEDAFDwBAoIwQiv3ZlZJmZYggYAoaAIVBWCBAHEsKERTnWW289uf766z0B+cQTT8inn34q48eP9wvR4BVmYgi0VARCErExfUgi2ok1edxxx6WJ+7Fjx/qYqgceeKCsuuqqcuaZZ8p7773XmKatbptAoFpuvn6cjL9ivAzbfyXZcavVpKNbsKaKOJFJEpBaSUUsvQwRSCCWq2S+m649U1Zeukb++pdd5NvPZ8nRRw5xHSiU3C7DvptJhoAhYAgYAq0WgbInI7M9FGTKz5TXas9oE3fMMG4awONwjktrGmtK30rYt3A/2nKmvGjZtnis+Og2Xwy0Hp5cJ598sp9KOmTIEO+9hefjJ598IjfddJNfjIbVhk0MgdaAQBKJWIq+rb766n5BpzfffFOefvppfy2x8M3aa68tffv29fEmk9rV6zMp39JbCgIxnnBZTa+Wzz/7RE46doRssY7In4fv5KbsznT+dAudO5wjokKXuNCVLoHUytqcFSg+Av48xZCGDTwmKVNXLurxWOHyOrhp+TtssoSMPHQZmXjLA/Kvm/5Zr07xjTeNhoAhYAgYAoZA4xEoezIy20NBpvxMeY2HLn8N4YNDuJ+/pvKpEWJMn1pLv8oH4ZQlIc5qW1ya5rX0bdi3cD/ar0x50bJt8Vjx0W2+GEA2HnLIIbLaaqv5aaVMw37mmWcE4mTEiBHSo0ePfFVaeUPAEIggoNfn1ltvLXfddZf3Mj7rrLN8LNY+ffr4KdysTB8VrRdNt+PWj8DCBXPl4P37S9V8kTF/2U0WqXQekW7KLsSUSVtDoNp5w852ixZ9K8ce1lf22KGrHHPYMHltyrNtDQjrryFgCBgChkALQ6Dsych88Cx3Iix8cAj38+ljOZelT62xX+WEebHHeLH1NQYrtUW3jdFldesQKARPFtuAhFxrrbXktttuk4MOOkjeffdd7wUJYWLTsOvwtT1DoNgIrLjiinL22WenScnXXnvNE5J/+MMfZMqUKcVuzvSVCQLqwKjbhmalPORqahbKGX8eIa8//76MPXsbWXPlztKu4mfnFZnwQjjqStdQsaWUEwINPCazec5WehK6Xc185x37g5x3yj6y4mIie/bbXmZ890059cxsMQQMAUPAEDAE6iHQosjIbA/VcURYtjr10CjhQbnYUcIumuomQCBujDem2WLra4wtWrccbVLbWuI2HzxZPOOkk06SXr16eQ8tvLM0FiTTSU0MAUOg6RBYfPHFPSn55ZdfyjXXXCOfffaZbLLJJv5FAfsmbRGBhXL/Pf+Wqy//pwwe0El23XZVaS8/+jiRFY6MrHB7Jm0UgYqFnpTu0fUnufz8P8jcmQtk+GGDZOGC2W0UEOu2IWAIGAKGQLkjUPZkZEji6UN1mJYNYK2TrVyp86N25NOHUttm+g2BckAgeo2Ug02twYZc7zUsRkOcussuu0wOPvhg+eijj+SMM84QFtvIVXJtK1d9Vs4QMAREunXrJkceeaT3Tr7qqqvk7rvv9tfqeeedJ3PmzDGIWiwCKU9HNV8dGHWr6eF99dvpX8iRQ/eXdVcTOeP4faSLfOPIyNoxoPEgbZEaha5Fb5M9ZJO6VeO8Y+dLp4ofZZN1l5S/nLChPHLPE/LX0WdEKtQfd5FMOzQEDAFDwBAwBJoMgbInI+MIiri08M9aiF5SelimOfbj+qB2qM261XTbtl0Exo0b5z1j7rzzzjYDwssvv+z7jEfQ119/3Wb6XeyOZrrX0BZTQFkd+9BDD5UNN9xQ3njjDWFxmqWWWipvU7K1lbdCq2AItGEEov8BCI9w9NFHy4cffiiDBw/2q27zAuHZZy02XGseJqn7KgTSQjl08N5S4RzdLj3nj7Jou5+kXc3Pzhtyge9+erwoKdmaQbG+xSJAzNDKmjmOoJ4p++/+Ozlgjy4y+uxL5L67b3flGUMmhoAhYAgYAoZA+SBQ9mSk/rn66quv5L///a+MGTPGe+2MHDnSPzDz4IzoQ7CWV4hJnzFjhkDi8Pnll1/KdpGVH374wdv4n//8R37+2f3BbIFvt1nc4tprr5V58+bpKbBtERD497//Lbfffrs89thjRdCWrGLu3LkC8Tl58uTkQk2UwyIp9Jm+f/vttwW1itcQ47Ec+lNQB0pcCS9IiEi8IMH5wQcf9B5Xcc1G761xZSzNEDAEckcg2zWV9B+AFwXjx4+X559/3sdvJY4rMSYXLEiRUrlbYCWbFwH+guf6N7xarrz0Qnlm0uty5TmbyXqrLJD2NSxY46TWha6i0u0QbzBB8ve0S1BkyU2CQNRDtmGjyR6OeMt2lq9k1In7yhorigwfOki+nvpprYp8xl3DVi3FEDAEDAFDwBAoFgLtiqWoVHqIlcRCCo8//rgn58I/7/xR55g/4meeeabstNNOsQTee++9JwMHDvQmfvzxx35l2FLZm6teVsZkQYjhw4enq2Cb2vn22297UiDpYSRdqUx2OA+cq379+nkidb/99pMOHTqUiXWtw4xSjwWuk7/85S+e+CNWYHML/W1Mn7m+6AdEJguxtEXhuozDcNasWf6lDi9oWCH7uuuuy+oJGaenLWJqfTYEioVApmtKr13dxrW5+eaby6uvvurjvI4ePVqeeuopueOOO7Jey3G6LK28EZj00D1y9qlnyrD9V5Kdt/qNdK75nyMiF5a30WZd0yCA40LEGxZv2Q4yS7pVfS9/u2Af2ffwO+TgwQPkv5Nekqp2/DfPlQRvmi5YK4aAIWAIGAJtE4Gy/jW64YYbZP311/dEJKcHbwBWkxwxYoQMGjRIfvvb3/qzhtfTLrvsIsRP4o87H5Vwn7TosZZryi1enX369JF33nknoz2ZHlQy2duYPmpd3WZqJ8z77rvv/DnAo7OYks2OaH70uJi2tCRdheDw/vvvN/BATNKTlJ4PRkk6SE/Ky6Q/WieuP9SPlsukMy6vsfXjdJYqLe4ewiI13H8gIv/617/6hWqiU7KL1cdi6cmET1O0EbYfthfuh2Waaz9qT/Q4m11J5ZPSs+mL5ueiJywT7kd1tZTjbH1IytdrV7dJ/SWeJKEseKHwwgsv+GubxW2S9KInU15SO5ZeegSSPBc//ugDGTxooKzhwvceN7SPW6LmR3cSnResekFmd6HzxudYrPQdtRaKgkANHKTnId1/pgSNeM9uuFqNXHbOFvL8U2/Ksccc6UqmvGerWX09oV4qOdnzMmM1yzQEDAFDwBAwBHJEoKw8I/mDrH+8WUwBj0iEB+XLL79c9t9//wbdevTRR+Wwww6TL774wntHMi0TUlIFfauttppcccUVPin60K3lmnIbxnfS/tL+Kqus4qfIsr/ccsuxKUhCnbkoCHHXumzD9Ex66A/nijhWKqpHjwvdZtMTzY8eF9puU9TLFd9CbMmEQ7Td6HHYXpKepPSwru4n6U/SkZSu+qJb1R+tFz3Weknpmp9t29j62fSXMh8ikmnZ06ZNk/vuu897Rca115g+6vlAL3rwUCW8APdovFRXXHFF+c1vfuNJk5VXXjl9z4+zI5e0xtiK/tDesL0wPdwP2wv3w7rNtR+1J3qczS4tH/aXOpqerX62/Fz0hGXC/Wy6S5H/9NNP+5eGxFNVT3/FRrfZ2o3rQ5zebHoy5WMLMSRZ8X633XbzL22Zwh39v6M2x9mUSb/lNR8CrIQ8eN9+stC9573sqn7SvbOLEymzxU/Jbj6zrOUWgkCFm67doeZb2WnL1WTooM/l7+NukN7bbSMDBw11vpGsv25iCBgChoAhYAg0HwJlRUbqH2QemP/85z/7ByCCszOluUePHrEo4Sn5wAMPyJZbbumnB19wwQX+z/hmm22WLg+xd8wxx6SPy2FH+xraQh8PP/zwMCm9rw8R6YRgJ1NeUCxxN84WCielqyLib5522mnC6p7V1S5odmWl35KPTSaZEciGb+bahedG240eF645VTM6HlV/NL2x7Wh91a/HmbalsiFTm+WSRzw5iAq8pp544glhimcpRM/HI488IqNGjZLnnnsutpn27dv7qeJMpV9hhRViy+SSmOmcZspDd6Z87Qflwn2Om1Iy2VgqO5L621hbGlu/VP2N0/v55597sh5v/7iwI0kYxekK01QvoRKY4cF1UKgu1av1uaaJ24znM/+N2MdzUkXL6bFtmxcB/ZeExyLC4iMp0UlL1TLqjJHy7v99JOeduJGst9qibmGS6X7F5NqCtmnDCFTUpMaJjqM4KCornJOHG1cd3II2p43oK2+/9Q8ZceRhsvHmfaRnz9VcXp00vD/rOKwrY3uGgCFgCBgChkAxESgrMlI7Rty6b775xh/+7W9/SyQitXyvXr384gvEK1y4cKEwDbrQBSt4UMfDD8+dVVddNeNDgv5ws+XBgnrYvdJKK/n6nTp1UhPrbSnPJx/J9BCRKS/aRrR/5OdTX/XhgQru6EN23HFH2WuvveSoo47yx031xflmNWCIXLys9JwUs309VyFOPOTRNm3iecu5J14Xnl9rrLGG9O3bV7p27drADAhcpuezYAgxQhdbbDE/VohpiJ7GCgs9ffLJJ94LjRieCJ5ofGhj2WXdPK+ITJ061dvzwQcfpHOIWaqCJ13Hjh310G/j+oFXzpprrpnYjxA/VYatYMlq2Z07d5b11ltPNthgA+nevbsWyXtbSH9o5KeffpIpU6YIZAE6llxySX9uCAdRjHOTd0eKUCG8HiBUuC8SU65URCQm82ICgpEYdnrtbLTRRn78Lb300j62LAQl3pkswgFpiV2M0XxE+xY3rlRPpjzKZMtXPYVu1cZC61Ov1DbmY1s52YLdxcA3rv/cx7mHx4UdaQwGUb3oaoy+ONu5z+P1vM0228iQIUP89c4q3CYtDYEF8syTj8rlF10j++zcwa+M3L7if26K9tzUfdWNHRNDIBsCqXtktfemXaTyOxlzen/Z58j75YCBO8qzL74jUlX3nFLse1E22yzfEDAEDAFDwBAou3+o33//vVx99dX+zPzxj3+U3r171ztLSQ8fxIxkqvA//vEP74kDocC0Z4RpxCxyg0ACQTSGwsrPePhNmDBBfvzRxeKplUUXXVSOOOIIP+1bp2hpnm55oD7llFM8GTp79mxN9t4Ixx9/vPfwVFKKNlgNXAWPQj5dunTxq3xDhGyyySY+GzJonXXWkQsvvNDrh9ikLcirOGFVXNrDC4Jy2iZlC+1fEtboZNVliEhII/pF2/fcc49/sMpUj7qNFcbISy+95AkMnfJ+/vnne2KwFH+m4nTSHoSsxi4999xz08QL5AoEG6EFQsFmzif2xwljGA9exkO+8uuvv/q4Yffff39iVR5IeTgl3EH4cMp0Pr3mtPLEiROFD+eSVZYhkVRefPFFH2uwMf3AXsiqqNfc3Xff7adDnnHGGdpc3lv6Qww1bFfR/nDMCt1hfyCVGbvEXOOlQpxsv/32cuyxxwr3hFKP77j2C03TsUv/wGDs2LHpRbLQWYq+ECZDQ2XgsX7ppZfKpptuWq8LXDvcs7h3cK/mZQb3v9CLq16FmAPtW0xW2SSFNpYC66SOFrutfPRlKhviEbU9U71oWT0O9RVSX/WEdflNOfjgg/1/Bc3XbVhO03LdxoUzybVuvuU23nhjf92xQB73VF0YDz2N6UO+dlj5LAi436hwDNctKlIt09zKx4P33VV6uXeUo0/d3y1EMs2tns1/TDe5VmNFZlFv2W0DgSRa2v8DqiWtK2W+86r9WdZaZSkZf1F/GTLifjn6yCHyt/F35AFS1HM3j6pW1BAwBAwBQ8AQiEGgLHzw+XOswoq+kAPInnvuqcnpbf0/bulkv6NTs9HH4gy5CA/C/HG/+OKLPRGJt9+AAQNk3XXX9cQED+88SOO5FRUIw9/97nfCQjs8XDOlnJVpIQwhNSCoeAjQ/uC9h+eYekwuvvjifhEeXYhHcQj7eOCBB0pVVZXXn6lPN910kzcPAjckIvPtn9qAstCOaN8hsyDWICRPOOGEdFmtr9tovUKPP/30U/nXv/4lf/rTn2SfffbxbSsRSVtKPBeqv9B6eLpcdNFF9YgvdG233Xb1VF577bWeVFYCDy9CVn9nbC2yyCK+7EMPPeTjn8aNtXrKIgd4QxLTTIlIPPoggfDswQMO4g2MmKYL4UY81lAYr3j+EV9Mzzl1SIO4Z/ypZOoHRB0S149wPOBtxCJUev7wusQbkqmFhFSAPMezDk/TQoT+rOq8msN4adof+hT2B/20deWVV/prlv4zlnbYYQdvE96ayOOPP56Oi6oY+YwW8MV5P/HEE/1YOO644+pZnKkv4TmrVynDAUQ19z0EApeYvlEikjzugbzEgZBGWGyIsdmaJRPWSf2OnoPocVK9QtpCV5L+fPTlUza0v9B6qqMx9amLtze/L9tuu60nIgk7EpVC2gj14kEfp1fbScJf8/PZHnnkkT4+7EknnVTvJUshfcinXSubOwLx5yK1aMihQwZKzU8il4/eTxbrMNNNs3UHLFpjYggUgABTtfGq7eima2+y7hJyxAHLyU0TJsqtN4932mxcFQCpVTEEDAFDwBAoAgLN7hnJn+/wDxkPpSoQCtkkrA8xqBJOOdU0tmFbHOOJ9uabb8oyyywjEHrEWVLBuw1y7/XXXxf+0N98882a5QlGiEKII4iOW265xXv3UABiEq84HrYhZiA6IAHwHuQDQcRDO15qurCO9gP7dB9dkDN4zP33v//17UM6RYVpv//3f//nk6P5+fSP/kfxibalxxCeJ598sj8M7dX8XLdJdSFQll9+ee+Vh/fojBkzvMowLqW2ATE6f/58+d///ucf9CjDh75APLHVtHAbpquufLeQVPSBB9idd97Zjws88yBiVDg3eOMhjBXioYZjlb7SR7zX6APjBc/LXAXd06dP98WZissYABPFFjL8rrvuEkIeIPfee69f7EBJcUhRPrSPtxqCR03v3r39vn5pP9DL9ZKpH1wXYT/CcfXPf/5TIJdJY0ohXnThtGxIVa4fiPRCJOwPerA3rj/ofvDBB9OkKOeGEBG8iFDBg5MVpyFGIZJ5OQEhyzhqCULfuW/hEY63KOMiVwnPWa51zjnnHE96QzDzkiably/3VfBkcZtLLrnEh3mIksW0zTUCkUPoAcIg9OzZM+d7ldrOeAIHzm9cuAItp1um7VP+u+++8wuD0GY+550XNdicS8gPbZOt2sm9nxdcoRRyTsL6Sft6r6Btfjt5WVJIaAK1PVeMsYeXE7TJi51sIU5C+wvFN9Sh+/xmlyLsCHrBAlyQbOFMin1++R3hJQ/3AGZ5FFu/4mfb4iLw1zHnybNPviEXn7KmrLOi82ircR77zhvS/WQ6qXt5X9xWTVurQ0A9aGtjS7KKdpVb/KiLizt6/LBd5NlXrpMRww73/8M22niboPv1PSB1xLl/0kEZ2zUEDAFDwBAwBBqPQLP/skT/HIckYvgwxMNSnIT1eZjQh228xbIJ02mJrYTglRMSkaQRc4kpqgheeZBMKpBQr776qj/kYZqHDBVIHog64qQhN954o2YlbukHH+2nbqnA9HOOIUSIZRcV9YrkAXKrrbZK68i3fy+88EJaddh+OrF2J5oXnoNo2WzHcXU5d7feeqv3GmUlXiUi0UU8OiSsB9l2sJtWd8ABB/iFBvbdd1/vPbn33nt7L1c8bHfffXfvtbrrrrt6chfCivONBxwPa5CHnEPSyMOrkBikLPhBXbxliYkZTuPX80Wcw7PPPtt7IxIOgHOP1yuCvZByCGMTTzAdFz6xNh2ymrbQyTh7+eWXNTvjlgd5zjMCsccCSHoNKEaQO3jo4gGMUId4lXGifYrmgbH2gwUX6EdIqFKedugHeCFx/SCmKmQogiclBFRIRJKOdzGek8WQ6FgNdWILJDB9JgwD+yERSVnINM4t1xUCucS0x5Yi9G3cuHF+bETJ5WL3AdJOxyKhAHKJAclY5f7J/ZUVhqNEJDrx8OI8ELYCwp/fBbxfebEThsbQ/nAfo9+Qywhe79jS05GJXOOQfOzjtRknEKOQ+ksssYT8/ve/921CKDKFnJdT2ITEjS28evFC5fpf1b1M415CXY4hXslPEsI48JujdjIW8aaHAIcYpU98wvshfdB0XgDE2cQCb1qGutEyhNzANrUZjLEZjHnhgM1hHfbjMGYRIrU9CeNQD+FEuG9znrg3cc/lN5w+81IAj8KoNAbfqK7wGL2Qm9yLGC+MY/rQWEEvRGSx9eZqF9c82HIPYAyYlD8Cr015Vi44a5T0691RBvb7vXSU76WyYm7KcDuH5X8Cy93CmvnSruJX6VjznVw79nDp6X4m9x/YT36ZNdNZriRkuXfC7DMEDAFDwBBoLQi0K4eO6AMKf5bxmEIgB/RhkuNc/kjjjYPHC4QdK3LHibZFHt6MCA+5PAjFCQ+HeKdAikFCsJgHokQk066TppPjAYbXYtS7RdvBFj7at9A2LcMWkooppzxI8tCuHonkQRKpxyakJaL6GtM/1eEVRr4y5UWKFnTIQy1eo3ieMn03GscvihMPzsRuhPgjj63u41GFaFq4DcuCI8dhmpYljXyOIeJUtPzQoUPTmEexYSoyD7kI5CaEcZLwYI5XIHohwTV+aFJ50vG8wRMSj8ps5WmbuHxI3IM+6bQd9kGPie2YrR9a76CDDvIkf1w/wAMcEchinQat7fgM9wVpDImv09o1vZhbbMHzEYFshgRJkmHDhnlyFduJvQgxjc2I9pt9vKgfe+yxRE9cyDbKq4cu+0rAsSVd08JymdLDPGwI9UDW4fkNcackdRRr6hRD8DLV6w0SL9d29N6reKoteMkTegMijjzIdrwiCY/Bwkd48eIxDtkWd11RB2IQcolxBnkOYccHggiPc84l5x6h/A8//OBfSPBSjJdKhDuApINYpx6L/+Axz3FPR2iGgk7u1eCNQKxhL7r4/SCcA+QhOPE7xflVIY0xxfVMe4R5oH1WPed+T39zkVBnUvmwjNr81ltv+f5HbcYr+OGHH65nc1g/ijEvWvDS5n4Uh7HWpT2IWjAljXPLOeSFGy9LmOrPCxnuh3p9qK2F4JuEBfYjtHHBBRfI0UcfnVfc0iS9ms61WQq9qj/blv7tsccecuaZZ/r/D9EXP9nqW37jEAB/HfOZNLl/Ls7nrMLF+/6f7L1HH1nT8eCXnL2/dK76zqXPdzm1JFHteM2ky/IMAUVAV9vWY2GU8bPjxlE7+UWW7fadjD65txzwpydlxPBDZcJ1/5Kqdixok/JT0fFb90tVp8n2DAFDwBAwBAyBYiBQFmQkHdE/bHijIHgUQEQQ/y5XYaouDzdI1KsB/frgofrwckJo87bbbvP5aoeWYasx/UKvTUgHZP3110/b7hOCrw033FD4xIm2o9u4MpoGMYvXH1NOIRhDMlK9JXnogbwLJZ/+YYeWD3U05z5TMiGkeKBniineOJCCUczAOPRMbUqbsYWphUkCua5/6JLGgtZlrDNueZDXlbA1L2kLgYa3FhId32EdpkCqRxXllDQKy8TtK9b6koAyufQDsoVrMerJ+8orr6Sb0UWlSNB2NBPSt7fz6vnPf/6jSUXf4gGnEvWK1nTdsmo6sV2JaYtHF/enuEWtyFPCVcls3aIL3MFf06L91vaKuWWMaDxd9JaqTcgiFV7w5NtOWJ7rnPsZnsiEa8BTmlAIKoQUONiR99yz8AbGUz0qeDBCRB511FGeENL7OGQxpCFELWSbkpG0jwcZ93nKQnqG1zZtME44xyyUprExtd18QmLoCyTqQrbyQgEiEsIUb336jEDM8aIF71GVTNe5lsl1W6jNqj8Txrx8wetSMcZuMNZzy/2BF465hDihvcbaqjaHWx1zhB3BC7TYgjdtqLeY5y4XW+mfesRzDzcyMhfUildGx1c2jRCR4kjHww8eKL98t1CuumF3Waz9DE8YpYnIbEos3xDIAwFI7s4138tWv1tOjh26ulw0/i53r7hYjj72VKclRUbmOn7zaNaKGgKGgCFgCBgC9RAoCzIy/MELp/bhGaOeiPogU8/6yAF/tnnQQfCuCyXuIUDJN8gDPtmE+GEqGqMRkiJOstkbZ0+cHk3D6xEy8o033vCeN0wNRnSKNmRciB15+fZPy1O3nIRzyYM/D+uQU3gN8gCPgGP0XGt6OK584RJ8MX00E2HOlHO1g9iOGhZATYmOE8gHhCnESYSX1o1uaQfyBi8qSEAITT6QRErSU0ftidbPdByGPaAfTLVGD5+4sazerHhJhf2gXyqZPBEpE3pGa51ibkPyLPryItoO/YQggoykv+C7qpuGG8WSKa58chV0cc9iqwRlXFqYp/vhNq4OaXjCMs05n1Wqc7U9Wi4cY5CRjRHudUxbRhhvIXFNGt5e48eP9+EY8B6ErGRqdVT4/dBYqZpHaAamJRPfkhcceNHjjYjo6u54KYZEJHmEciDuHnXUo5Z0cMbjUa9tPOKj5Db2c9/C4xHvdjzwiB2M0D8ITsYS93MlIsmDFMV7k7GmcWFJL4bEhfGgLzqmNUwJJLDarL/HYfukabgDTQdjSDjFGI9TfdGYS4gTMGH2AS+jCP2Ad6biGxdSJQlf7Yva1dzb5rBHYwPrPbm5MbD2GyJQU7NQrr7sfHn64efl7BN6uRWPO7sFa751lND8VGGNUmQuag3Bs5SCEFCSmwVtjjtka/ns04/ktBPPkF4bbOZ+p3ZM6YyONxuHBWFtlQwBQ8AQMASSESgLMjI0Tx/QSGOKsz788Cc+fFAK6+g+niwqTBPMJpBbCJ4Dcd5e2qbqCUmn8GFU88NtsR86mK6M1wwkKF41rGSNDbrCdnThGmxpTP/CvpTLPlMt8RDFUwjyGJIBciuOjCw2/kkYsJBLJoG00nEEkZUkWkbHOFvInVxXCWdc4N0bjTWp+mgX75+k6dlJdmm6ejiiTwm5JIy1L9SN9kOnXRNSQT3VtI3oNhtZGS2f77F6RkLUZVtohX6E5Cjeq2FM23zb1vJgpdOnNa2YW7z/uA80BRER3hMbS36qpyMvWaJEpOJDHFQ803lBg6dkHBnJ9Po4CclSxqSSkXhhI0wPxoMSUg3R6+jqq6/2x+EX51BDYhDnkRADUaEM5B7TkaMhP/TFFiR2aJfq4L4HIXfqqXis1Ak25SrhNal1Qpt1qjzlQsFmbOK3OAxTEpYBY62nOJEf9iUkI3MJcQLhyO+5hjiBDEXAV20N28qEr6+Y8BXqSChS9OR8zlsxGtf/AY29Jothi+mIQ2CBvPjc0/KXU8+WnbcUOWjgltJevvQrH8eVtjRDoHgIuNBDQqiar2XUyYPklXduk6FDdpdX3/xcFlksOWxN8do3TYaAIWAIGAJtHYGyICPDBwIWE8FLCSKGKXZM1dM4ffrAE3fS0DFmzBifBbGA50w24cGTByOIPrxs8hHiW0FmZJpOi8cTZEAhDwFxfcU7EnvxAoKMxDsNTzoepOP625j+gUV4XvLBpthlo3YQ3wtvHT5M+40jI0ttAzYhTI/PJORTlg8xEuOm9ibVhzzMRSBiLr300jQhQB2IPsgy4mkyVjfddFNPsFx//fW5qGxQRvvJuMRrTPsRPTdaUdMpH/ZDvXQIqcD1ofHgtF64LSVJRztqC1NJ1d6w/XCffnAtq2hdPS7XLfcAMH7xxRf9wkCltDNcoRrCOpcXQkn2QNghjNtMQj5kZEj0h/fOnj17xlYPvR4ZiyoQnCzUREgDiFCuH2JLQoDx26SkdXS8qFc592JeCiDRMqQpAa/lSVMyMrp4EnmqI5xmTzoS9jOVkvyNnqho2BG1GX1x5fT3S21Wm1RfiHFoUxLGr732mq8aDXES6uU3mY+Ktq22anp0G4dvtEx4HNobppdyv6nb1BdU4XkqZf9Mdz4IVMu3076SA/64i6zuJvOMHbW/W+n4S7d6tvutCd8LhPv5qLeyrRuB9CrZ2s3q1E6u48WVq6hxhGTFHFlqkfluQZuBMmjYRDlkyF5y211P+Bel4X253pjUJm1rCBgChoAhYAg0AoGyICPDP+eQHnhaML2LB1IeDE844YSsXcRbUP90E0NPH0oyVSQGHOQe0+5U6v3w1iaimymRPCzinYi9EDx47xCIP0mI54hnDXGaeGAOp98l1dF07IgKK9SyIAMEKH1lKhuCRxDkSNR2JSOz9Y+pgdSlfyGBEJ6XqC2lOtY+hG2H+9F2Q3ujecU4jrMHvZlsCtvlgZwxQnlIDc6JiurW40K2LObAlFb082HhH9qJTjumLfWQoR2OoxKmRfun/aBOtB9RPZmOmarJlG+uJ+LNZfIsZepqsSTaH/QS1gBbIKPwjssWTy20B1IkFynGOc6lnaQyrIjMwkZM9Y3GOEyqU2h6SEbi1ab3ynz1MU51saSePXtmrL6qm76MKLHGfjiOk+65IdEdlmfBGhbF2WeffXzIA1adxwObD/dYxj6LAWn8Sj2/SpblGvJDy0PI89uARMNskKbjNikcCGVUtKweh1vywn6Sp2FH8rU5qit6r9F2wxcNYdvqGRn1+s5kv+KVr61qS3NvdZw0hx2ENmHmB4vgmZQTAhBH1TL0IOJEzpcJ1w6Qpbv+6qZnz5KKSvf73PAnupyMN1taCwIV1Y5jdIRkzc+ybs8l5ZQRa8spf50so0edImedM8b9BrVvLT21fhgChoAhYAiUIQLNTkbG/Uk/7bTT/PRjHmhZBZIH/7hpyIonU5X/9Kc/+UMeiMeOHesfvDI93FB4991394Qe7TBljSnA0TrErWShBB4asYUHbKR///7y97//3U9fYyVUnTrmM2u/lCzEpvChWL3KolNmo22HutiHyMEDkthjEIgPPfSQLxJdRVvrsco3ZTP1j4d46mv/Sk3uqW1JW8UgfHhNKtsU6aE9up9PuyHBANYhGRmnj7inEOkQY3H50bYhvBUrFvJgCnucoItFbFQgA6MStqc6tUymfmiZcEs/Fl100QYEH+SSkrOQ6pnISKZCN0Yy9Qe96lFLX/FyzkRGahnq8cIknLJNWpKENiSVKXU6cQ65xidNmlTShZ4g8lS45+Tad+JaMv0Zz0Puo3jSRscn+Mfp476FqOeutp9tGx3fYXniPTI2IXCZrg1ueKBDkjJVmdiFLMrCSzK1iTz2uX/GhfwI9bOvIT8g7NR27Uu0LMehd3FcPmlJfQJLzdMt5fXlRFyYEsrRHz5aR22mbiiKQZiWaV+n86veTGU1L5OtWibcJtkalmnK/XwxKpZtTz75pOCJGi6AVCzdpqfxCFxx6UXy5CNT5JxjV5ON1+4g7Wp+8MRQAyJSPeAcceQletx4U0xDS0RAx0OhtgfjqErmSlf5Xg7YcxN5/Ll3Zex5F3tniq1793XaU+OONd8R51BpYggYAoaAIWAIFAWBZicj4/6kE08Ob0QeCvGeGjp0qDzwwAN+NU0e9CAneThkRWumnbKyKUK9G264IdYDIHyoUuTwNORP+jPPPCMjRozwU0/xiFFhCjAEJQ+JPAwOHz48/fDJaqx4PRJXDE/OO+64Ix3fkvrEvNKp3+gOBbIJe55//nmBtGEaHPHxsj2cUQdSAYKRh3fswpsRzydEHyC1LTwmWYU6n/5p3Za0jfa7FLbHjdOkdkJ78L5VueuuuzzZouRDWI4yhCZgLHFeGQ9Mxw+9i1RPuIX0QbAvJIPCMuxDfDOeKUe7UeKDtLAtJTC039F+EBdP86JtZeoHHmUQPOjnmtGVXqM6ICy4tnIV7EeSbIqSW5Rdc8012fg6TK3daKON/HHcF6Qv/UJ69erlidbo+YurVw5peMuOHj3axxzs3bt3yWJUci4hePE2Db2xs2HAgi/cL/ng6Qu+eOJCCKqHZNJ55f6JROOLJpVXW7Llc4/mXsuHFdDpD+EQ+K0h/iEL4BBCRL3N1Audqcd639e2sm2py29ZuKBStI7mxdlNGmMxnG4e1tfFvkgL66vNhYQpCfXnu59riBPuWbzQQJrS1lJf15wDPWf5YpdveeKMruq8h/kfY1JeCDwx6QE58+RTZedt28mBe2/uVjb+xsWJrAsZUV7WmjWtEoGAzKyQBVJVsUA6yg9yxflHycBDrpYh++0mL7z6qSyzrIshYGIIGAKGgCFgCJQAgcwB70rQYK4qIR1ZTVVXjWaqEZ4zeAfiacj0Q4LrKxHJH26mcO20006+CR4o+KiE+6TpMd6NxNZjRVWmd/OghPch0+J4uMYzEk9G2o9OR2PqXk/n6cXDN7bwUEc8PYLu48lJGzwEsJqtCmnoZUucM9rGy4r240Tt1Dz6xwO/kkk8LKuED5qalkv/iMkZ1z/VUe7buH43l82cr9AePKXU25RVrnXRCOwLy3E+mW6t5xUPsZAcTOqPTheGbIO8iY4X6uFVxMq2jDHy+bDCdSjYoh67pENgqH2UZ8xqP5i6ysuCOMH+yy67LLEfEH6MX3RzfevqxVFdvGTId9EVtVd1hXEdQ0JG84kJyPVH/7AFwjFOIJ/0PkO+rpYdbS+ubnOn0TfGEd7ieCBGF0GJ2kf5QgU8lPR4+umnved2kj5Nx/sV0h1hsTKISATyCdEVtf1B5AsdGpqDhWFCIU/bCNPZT8qDzMPbnPirSvJTnindLKKDN+S4ceNI8mQ6HpMqStYTmzOTcN2wQjQvBlS0r9oXTdct9kLSxgnXrPYz6mmv5XU6Nsdaln21ORtxHGcz9aMS6o7mhcf8xiKZQpwwfviNh+zlJUCxbVV74mzOdF2H5cN99EWPtY1oHuUylQ3rNWb/ggsu8CQ68aU17mdj9Fnd4iEw47tv5JDBe8pv3fp3Y07ZV7pW/SLtHBFE/L60uPtpWiCNAuLI74fH6YKRHW7nhd/SI8rqDmtc23yyC2WSyzU0L3P5aHu52xGtWS7H2l/dpuxqiIvaW7+cpha6jWunnfwiS7T7Sq44bw+Z/+NC2X+f3WXunF9cE5XeIzIYlS4tV3tyLVdoT6yeIWAIGAKGQEtFoKzIyOgfdAhGHqDxdlQiBKCnT5+e/jMPWXnFFVf4qUhhmUwPFOjQfB5iedBjmjfeMBAtLAwDsYNACoUkp0+s/cKzinhfeG7ilck+3m+QjEz5xHuRB89QaPf000/3xCerpKqECzBoGlu1U9PwqmPaOMJD8uDBg/1+0lcu/cNDU0ncJD2WnhsC0fPF8THHHOMJIQhDvMBGjRrlxxkeVxCETPMfOXKkX2SEVpi6PGDAgJwa1EUeaIfr4NFHH/VEIpV//PFH7xV78skn1yNXKBtHzkH0q0BAEGYAbzC8kBH6obH2ov2gLe2HEkhx/aA+fVU544wzPEGLBzTXP9Olzz//fO81qWVy2Ya4630k2h88iplmq33nWjr22GPT1xjnBbJJSV3KQYocdthhoquJ44UcF5IhFxubo4ziQsgGFme56KKLPFmcZIuWT8rPlA7uhNjQqfe8kNHFSqL1aIcFgRjn+iKGWIwq2ItA+CUR1oTnUEKLF0mFivaZLfdTpl/j+RgV8nV1Z/LUK5J9XUAMEjOJqNeQHwcddJAfh9RD9H4OKRjnDQyunDdEx7Y/cF8aWgDbmJIbFWKhEtIjTkKb9SVJVH9oM7+LSFhGsSM93Oc4SQhxQllW6OaegahO3eoiQLx45CVgnK1R/aGtXOe5SK42q66wfLhPfvRY62ie9i1ML9X+ww8/7MPKcB3xgtSkeRGof+7ny5FD95Nfvq2WS87dRZZffLYjIt1vbI3zilSCz10f7qIojtH12aOi6KwokmlFMcaUFI4A403HnNPCaa103rkdZaasvXJHOf/03jJl8mtyzpknF96G1TQEDAFDwBAwBDIgUOH+JJXsbwUPR3gzPvHEE8L0wMYKD62QhXhK4E1IAHx98M2ke/Lkyd5zkTJ4ibBCapJAOrBwDkQG5dgCUaYHDXRBNKGb6XSrOhKVTzbPNsgopiHyQBkSJ0m2kZ6LLZnqx/Uvrnxj24nTmU9ascdOPm3nUpaFLFiFmTEyYcKExCqKI2OQ1eHxstOxBDGHJyFlVPB0vOqqq9LxDDWdkACMMcgQSG4VxhBhAHgQV4Fk47pgwRXVDWmJ1xrEJII+iEAVyuFZxZReJYc0D48wDQWg/dAy1KMf2KZtUY9+sPhUGGtS9bEl7MIll1zi62k6hD6YIlwPxHTlRQSC1yhTYPMRPCshlyBKQwn7QzoLluDlrLHsSAtt4RgBA+LG8tKiJQpjBQ9uPPCYKs8YLpZw7nVcQxLuu+++fmzjkQWJTTzTnj17+jECyQsJBXGp06yPO+4475Go9mArXrSQjcTbhZzCdhXOGeeW6wkPV+I4qicspB5eltjDvVyn42tdtngwbr755j6JMupZiRe7ej/iDQvJqV5leBhD6DJ28dojBite5SqEICAkBmMfj/RoyA/s5aUTK3LzWxF62uNt+8gjj/g0vNTVNghbQjcoWUhbtKtEKNcdnpUao5XfWg03wG8lU8lDMvebb76pN6UdTLmmozZzPlnlm3sG9xbClLCIjNqsGGMPfcoHY+pwziBe8ZKOC3HCCz5sIMyIzixQfMGeqfD54EubcaLjVrdhGQhNfSnE/Y5244QXM7yERAj7Qp8ySa56Qx1x9oX54T4vAPjfxfXGeNTxG5ax/eZCoFouHTtKzj75HDl9xFoyfP+N3OrZ0z0BxCIiKvmcb62Tbcu/jLx5Sf1rohWjSoKYg779aPlsRjVVftTOXNvNtV5z9Tuh3YTkhr12v5HuRtsw3fV7XkUX+VWWltMvvEOuv2eO/OfBB2TnXXZtWDZIQZMOFc9spg9ShbSlSHKgwXYNAUPAEDAE2hoCZe0ZGT0ZPDDh/YhnxaabbpoTEYmOkGTQGFRR3XoMeUKsSqalKkGoD9laJm4LAcRDIXWZhpaNiEQHJA5ltZ2bgVxXAABAAElEQVQ4vdG0XGyJ1gmP4/rHH9+oNLadqL6WfhzFKFd8tBzTPImJx0M4ZAQC4aJ6IVJYfIYy2R5mQywZQ0zBxfuFfQSCAsIe3ZAHTNFm6jRkmpKDePsq8Ucd7OShFV1MXWY8q+CtqKL9gMykH9QLCdWwH9qW1mWr/e3Xr5+3KSQYsQd9TMnEyxM78hXVTz36g0dZtD8af091E/8S4mmzzTZLT1UPseHFAl57THdsqUQkfWV8QAJynyLmLaR3sUTHOfr23ntvH/YBz28I4TFjxviXM5wPxiP3ceLZKhEJYQYxrcI5xFZIHohIxnLv3r19fFzIIYgvfgMgIiFdQiJSdbANx0KYnmmfqa1KrEGI8aKIezresLz8gohk3EOGhUQkOiEgeTkBcQWJyT6Euob8gLRjWjXEFR5/oUC60S595RpjoTSuEWJnQkTq1OawDvtcp7xgoK+Q7tRjvDLmqYOXcvjyIryuqU8/KKs2UwcvRPqaLUwJ9QsVyH/s1BAn3AfiQpyw+JKK4ks/NaRKrviqjuhWx61uo/m5HOPhCbnPp7GhJbKN2Uz55PESj/EKWY2XvBGRuZzBpipTLU9MelDOOu0c2WkrkUMGbSV4oLFwiCciIYZqpTHjUXWE24b/8MLcPPeLqizPtq14cRFw9wyVevcW5y1ZJXMcUf6NnHbs3rK+i6xx4KB+8ulHqRjlWse2hoAhYAgYAoZAYxEoW89Ifhgb84csrI+ni3pXQADlQhTmC2zYXi51cymfS5loW/nWiSsflxZtp9TH5e4Z2dj+E2pAyRgIGj5hzMZC9EO64/mKRySryfKwn8sqvHFtQcZBFKAHj6Cka7Ex/dBxBgHD1GiuSzzUCrU52g/VT3qu/YHIpd94LEOmcV7yIYejNpTDcYgD9kA8Qa7h3YZXLQQ0JHK0XCG2hzoY3xBhEL0Qh6FAikG6MSV/q622SmybenhNsrJ1+FIJUhhPQ8hmJfdVf2O99ohjee655/oXAyEpjbcsXocQh+GK2WGfsZG4nMQ81XAAaheYozcMJ6J5bCGyjj76aL9Ama4eTT/pPy/fIJARQhro9Gyf4L7wpiTUCGNXBXKTc7v99tunSam4utlsPuecczwxqXrZNhZjdBD+AZKfmKHhuaVv4IQ3bfS3OputmfClzXwkkwdjeM5PPPFE7/WO7iQvUW2XeoS+yMXjUuvkuuVawHObuKt4m/bs2dNXDW3NVZeVKz4CP8+cLhusu4q0c7+tk249QJbpNlOIz5detAYysiY1U6KioiplgHJFdTxlZsMinnwa17FC0yO1s6tXb826l5MpFZF01R9M+Y00lfEwux0Zq+ed2dTtNTAwAa/87YqchwYN1U9ooD9iR40bf6n/epXOsZFzXimzZQn58OvO8seht8oiKy4vTz7/fvr3pL728Cg/u8Katm8IGAKGgCHQthAoWzKyGKeBabE8EDJ1iulpTN0Lp6wVow3TURoEWjsZCWo8JCJJRJ/PtK+cEMjngTufsjk13gIL8VJm+PDhPsQAHnDEFdSpysXuDp6zSjjPmDHDk+R4Deq0aj0fuo1rH5KYaccsAkUIArxnoyRkXL3GpBG2AK9gCH7aXGedddLex7nohWCHnMLznf5m84DX/rOQDvGHOYb8hJDDIxNvUCSOUFR7IFJpE0KKUCb5StRmvFhLfX/i3IYhTqKezEl9iNqaDd8kPcVO1/NYiN5C6jIeiDvKGCFGJOSuXltxNhTSRpweS8sHgWrZb+8/yKR7Hpebruov227QTjrLjJRHZD01ERKnAXtUr3DDgyi5VEsOGhlZH6p8Ya1fuwhHkfOkGvO3KzJeVFHCtoF+Z4e/H1RqTkN9C9xInSvd5a5JH8mx57wiBw0/VC65goXcUjNx4ptqqCe+nKUaAoaAIWAItHUEMv2atGhs8KBgeioPwgheLXgN5CO5/GnPpUw+bRarbC525VKmWPaYnoYIlPohv2GL+aW0pPGRD5aUpW9ILvXyKZsfwk1bOjyfTINmii5eiXinsRAY06nxwiMvLJuvlYqX1oNMY8q+TtuP6tZzoFutF27xpGR6OZ+mEjx0idEaLlqTT9tMseaTq2j/mf6d5D0Z1aVY6pZp7XwKlWw267lVWwttJ6zHuYVc1hWzw7xM+9lszVS3lHmNwYa6ei5zsREPyKOOOsp71eIFy/Ub9SaN6lH78mknqsOO80GgWs49+0x54D+Py8mHLCPbrL+IdIglItGpHogFkjkRz8QkElKtz+5wqfZoDd1G0iPtaqm6lby1fG2/Ig1HDl31aP+jx+kWMu4oxRbVHz3OqKQUmYqXGlh73is0Pec2FdfaChF94eI0lGjQb9eed8h1/4dS94WIPlcHz90ONd/J7juuI2+8/61cfeU/Zcstt5SBg4bWNhq3iehRuxoYEFfX0gwBQ8AQMATaEgKRX4zW03WmvLEiKgH4WagDj8hsq+Dqg5aioH/a9Thum0uZuHqlTouzK6l/0fRS22b66xAoZ+xzGUN1PanbK+c+qZX0La5/ms9W+5FL2bBeue7H9RePqjfffNMvzML9Ek+8hx56qN7CQvn2R9tJwk3z4/Qq5uSF+3FlNS3Xclq+NW3Bkv5nwjSuv4VilnRO49ogrdB2kvSVKj0fO/MpG7U3l7q5nMspU6b4/zPEzsSj+dVXXxWmi/MiIZf62JVruWgf7Dg/BJ6f/JhcNPp86bNZhRx96E7SyRGRxImsJzBCjRCm1LpIu+56ay8LJfmj+Wz9hzppArQRBrSmqngLelycr4Z6MBajf6XSi23Y6W3FvyR/H5N694LIWKyQBdK+Yo6Lb/q9jDzSxetfV+Toww6T11972bWlJDFGmBgChoAhYAgYAvkj0CRkZC5/wPM3PXMNpqjh6XPzzTf7+FME9s8m9X6QsxVugflJ/UtKb4FdbHEmtzTsc7E3lzIt4US1ln5kwpp7Mx6LTO1kJWamb/PShqnbhEooRNCp2OV779d6tBvuZ7Ij13KZdLTkvEL6X0idQjBqqnYKsS2sk4+d+ZSNjn+tG00PbQn3w3LsMwWfFd0JOQMhySJPXLdxIRbCuqFO2286BH6c+b0cdtDe0nMJkTGn/lG6VP4klRVuwZqaCInjzq0XNv5TSy7BUWbhKSETFzoiaqGji+ZXdHbU0SKJn/m1eWznS1dfp9qRlw0ISbUjZVXyd7ZyePrV+9Tvj47R9NZlozIqNTWAUP9xhTpar175WjKNvDr4wDuCeb1KdQc1FeDZyX/YT0n9+tm6Xaetbg9d8x0VzafG0dH4HKYNVIzqiqf2cmnIk5xVsrCijoT2dqOzENGxGKlLfNPFq76Uq0bvI4t2cAva7LenzJ/zS7pU7LnQ3LoToSm2NQQMAUPAEDAEPAL5v0IrADj9A15AVatiCBgChoAhUCIEuDf7hza37d27t/eSZJXt0aNH+5WqWf2dRW5Y2Rmvq1zE7ve5oFR4GcO3cOyauqaeK73GtH1N1+OkrZabPHmyXwiKl6tch4SgwROSmJ5JonWT8i291AjMl6EH7iVff/Kz3Pa3PrJKjwXOZ+0Xxz8tyEow5mVZDUTUIvL0C2/Jz3M6eIIxqX7Ia0KNtZNZst0WvaRbR6ixiLdmkpLa9BTZ5zT63xCm+4bas1R22eE1EdZNpdevH+ZrToWzGNLN+e1JdY3rgCPf2tfMdvjO90Xi6mjduC2ELMQsRO2Lr3/lFhj8WAb2+5106+DOl8tLLe4SVzNIA4MImRfqff41p/ezj2XfXTeRru1nFzYOIm1UV3Ry614vJq+89q58/snHssduO0iX9qyGjd2NFz1PlTXzpEPFTOm59DJywZm7yJF/fkiOO+Yw+dv4W10jlf78a9nGt2oaDAFDwBAwBNoKArk9XRaIBj9MJoZAYxDI9w9lY9qyuoZAW0QgvMYgOog7x/TtCRMmyLhx4/yiGHhejRw5UoYMGeLj7+aKU6g71zpWriECrN594403+oxSL9zTsHVLaSwChV4HeCePGjXKeylDPEJAsuK6xl9trF1Wv/EIJBEwo0edJo/e95ScdPhqssVGy0unmunOKzJFlCW2mh+f590I8YhkgZGzxn4q730tMs8pV38+2gn948L09i6vs/tMuntjWa1HpVQ5j820W2IOdtSN6TpPeNpTSeEStuhyPHHpngvwWowhL2k2lV7fgDiMISLp+7yKJeT5V7+Uzz79UIbstbGLx5nCuH4dtUPR0GO1Fpzay4KKReXj6ZVy0MgpMtdxhX137CJdO8xzBCdkK96MKeE4JU5PSA42eOap9nrny6Ly0bQqOfjEKTLnV5F+O3SWLh3wkHVaQg9GP9U6SEvnBfYGbVB9nnSRD6Z1lcNOfFvmOt3b7rS4dPRkZEguB/amDE/4rl/OP8HVnid/XlxCB/lZdtp8aTlqvx5y8YR/y6Zb7SgHHTzU6UsRkgmKLdkQMAQMAUPAEIhFIPiFi81vVGLcn41GKbTKbQ4BVlo1MQQMgaZFQImPd999V6677jrf+LBhw2SppZbyC94wXTQX4YHQpPEIrLDCCp4IhgzOtFJy41syDc2NwMyZM/2LgNVXX917J3OtnXXWWc5T61MfesaIyOY+Q/Xbb/g/t1qen/yEXDzmItlpK5EjhmwvHWtmOrIPUqs43mqhBdXOv3FhRReZ6/g7x5/JfPevvqNjGbt2Eunitt2CD8d8yPP5bltV6SqmSa9Qc7AfEofhPkVqj6P3+jQuWt5ttUw6L2iCXc1XnZodVz7l+9dFLrridjn46OfknU9mOeLPeUjWSlwdzQu3xIdcUNPNeRcuJV/MdKTecf+R6Q5Ix+s5XNHnAFWSMKyo+wm/cV6v87KcI0vL1JmLyLDj75TpTukcV2+B16sK8tz6adnOZjfNfrb0cLq7ybATbvC6IaJJr6lx86iLLbXnEQ/azjJdjh22q+y0dXs5bvjh8uF7bxa7NdNnCBgChoAh0EYQKKlnZBvB0LpZQgRy/UNZQhNMtSHQZhHAUxIvST54af3jH/8QpnFfdtllPq7kEUccIfvtt5+w8nSc2PUbh4qlGQINESAGJJ7It912m18de+utt5azzz7beyZ369atYYWYFMgcu+ZigClRUhzes2f9KAcdsLt0d7fEc0/aWxat+tpNmSW23sLGW6HvdtRxkG1tGl52eDtut9XS8s+/HuQI0GkZ24MYhVhq5ygtpje7CIwNxw4EFGRbSLgF+77/ta1UVDKVudYYt02PwzAtziJtw+X5OhxXp/R4m5xe2o9iDdk3v2Ixeel18RPM51d2dWRktkea+v4XTKEmhuNsRxi++OYPcvJ598v7X0Lo4QHo7HEIhVLbO5deX09dGV6ep/IWVHeU2ZXLyvNvzJA/j/53Pb115SN7DUjhhu14j1AX03J2xVIy+Y1ZcuroW7xuSjLCdGjU19xQT/18Papfrp4uzqPLrqhe6MdNl6qZcuFp+8mAA2+UfQbsJJNf/liS7lN1uKXaiR5r67Y1BAwBQ8AQaHsIZPvlzguR6J+FvCpbYUPAEDAEDIFmRSDTPZyYknxYGOzOO++U66+/XvCWPP744/2iGnvssYfssssuDTz3Muls1s5a44ZAMyOA1+Mtt9wid999t7z11lve8/jII4+Ufffd15P9+ZqXJoDyrWjlC0KgId7Vsu/AvvLdF7Pkhqv6ycpL1zhS6ydHsjn6pZaBKcX9EJ3QSJBH7Wp+lq41X7nJu5/n1ic87dyU52pHyjHt2U9YrnFTiJlSrkQimtLlXIxKLZeiAX07LDKDt2KNo0Sr3WIqeOf5dWdcbqWbTAztV+U+9bxDnU6orYV+wnht3EqHEx6JqRWt3dRft9hPhatf5exBh4eSKdrOG3SOm/7MZGQ8ApkKPVcWd3Tkz45crbXfWxb/xWriLPjzw+yuctE1/5ab/jNXZjsu0akWXV+oWk9arQpPzgXkaaxm1/d5NZ1l5tyuMvaa29N6cUD183xc/xqOm1hNsYkLnM0zZi8mF18z0ev+tdbmlPLYKsVLZDy4E8CZ7uB8R1dYvL1ceOZ2cuDxT8nwYfvL9Tf9W6raOXdbE0PAEDAEDAFDIEcE+P9SFEn6g9WYH92iGGZKWhQCjKMkyZSXVMfSDQFDIHcEcrlfM0302GOPlVdffVVefvllGTx4sEyaNEkGDBggPXr08NOJJ06cKDNmzPAN56IzdwutpCHQchFgtXo8IC+44AJZe+21/Yf9ZZdd1q9oz1TssWPHxhKR9vtX7ue9Wsac5+J7PvyinDhseen9u0UdYTPLEzchqefvhxBahQjV+DgSLzp1WP86oT89VqLl+HtV7y8WyiAE2zsib1Hnv7mS8xJcwZN0DfT7GI0s8FK/XIoGdWq8Hhe/smJx1+uV5d2vu8ojL/0k77gtx7MrujuHR+e7qe3Xkpus/k2btK2E4i+VK8v70xaRx175WT75fnGZU7GizK9Z3FFgjuT0drhYkTVdZW5Nd1cXIhJCcjGnY0Wvy5Ob9D2DzHeE54/zusvuB0yU6yfOlXmO1NtuE5GzR24f+FfGLMzjgGYxm1pqMdKCo13dYjro3c3p/WdEbwfXd3/69GRFaice1p5HsP5lXhfpe8DtMuHOubLQ2bz1JlVy+sjdPT1Mj9Pw1msDGpRPfpIeRzHVIIgJP7DtJivKScPXkXtvu8+N/zN9yWg9HbaqJnqs6bY1BAwBQ8AQaHsIFM0zMu6BE5d9fpRmzZrV9pC1HheEgI4jHTNhfDT9kx1uC2rEKhkChkBRENh44409cXLllVf6adz33HOPn2aqq/7uvPPOssMOO3iCkniTJoZAW0SA1bD12pg6dapfEXvzzTf38VhZsd7iQLb8UfHaK8/J2HPPkc3XFznywB2cr9/XwgrEnn2Kdq8eURTNzPE4MqW3jt90fmvevS/l8aja8ChMS7Cf8l6sdF5td8sF17ip3u6p4LkHdpOl3BLbVRVuwnJNakGYhY4Qm1fRTW68/TG54PKfZREXe/Lp+3eSxd0WMpNYhT/PX1wuH3ebTLx7ofzs4iNCf0GQdesi8sc9O8hxR+wl3drhueimrVcsdPlV8vrbn8rAYffJoouJPPHgn+Rf/7pebrr1J5nm3mXptOMVlhEZderm0mezFaR9NbEh28nV426Ry28UPwGedm6f+Ko8cOer0sPNr37l8d3SXU3eqZQ5joH82s1m776oyMEHbSiHDOojj01+1VlVJ34VbT2sxU3/p2py/W2g1/XpEPT+sbc8Mfm1enrr18nhyJ/gCpk7d65MczYv4XQPP3BN2W/QPvLo5Hfq63ZjoyJ24OXQTlAk039tP83fjQ8IycMP2E7eeu9DGTPqItli6+1lhx139vx7ZpyChmzXEDAEDAFDoM0i0GgyErIx/MEJj5dZxv2DcDKNX04TQyAPBL777jtfunv37vVq6VjTbb1MOzAEDIFmQYDYkpAqfC699FJ56KGHPDnJ9NMHHnhATjjhBOnVq5cQBw+CMm46txoe/oZoWtw213JxdTWtGDpUl22bB4HoOeQY4TcizNP96LYYVqtO1QXhSOzHF1980V8H/J7xYq1///6y7bbbyl577SUsSpSP2G9ePmg1bdkZ330j+w/sJ0s4x7+rxgyRLlU/OXKIKckB61fPJPVSy+y9V69KeBASkbX71bibId6Lrna6dCrFfTt6TfNr0yqZi+wYSk+2ucV1+u66q5wz7r/yq2MAH3zqbRnUb0M3XfkHaVdbr7qik/OeXErufOhnPzW63w4dpEMn4jTOc16LXeTT6RUy7MRb5N1PUvEW1+gpsurKIp9+IfL+5yLX/muePP3ibTLusv2lp/tbh9foQkeazqvomiIUXTvnXPmkTHREZFdHKK75W5Hp7m/gN9+LfDBd5KATXpBrR68vfbddy/VmriyxeAdZZcV58vE3Lsaj43wXdWFVV17SEYsEzoQGrcWFMxDpOgW8ji5VP8ipR4m7HveQLl0cYyrTHM35a2x5XymtKHXe9LrXLWUqa+a48x/VO90Ru/X1+jpeacyXzhOHVEbS57tSOlb+JKcfVSF7DRwki3Va6Ehg93LDI5gqGv+t48zh4iXpuGHt+vedaH2HY8UvjoaeKqf9aXcXN/JOOXTIQHnp1fdkmWVXaqjMUgwBQ8AQMAQMgQgCjSYj6/9Qud/MutezstJKK/npR6+/7iJMmxgCeSDAmGFF31VXXTWPWlbUEDAEmhsBiElIFz4XXXSRj4WHZ9jtt9/u40xee+21npjBM4zP73//ex+LUj0nw98Q+hI+6IV9i5YL86L7xdAR1WnH5YFAdByEx0n7WB7mNbYn77//vjz77LPywgsvePLxs88+E6Zk4/E4cOBA6devnyfi+U0zaX0IDBo0SL768if5xwXbygpLzPPkkI+NmCavStVnJYecfse6Qbz9PKe9fDStUjq7acxpgtI37yIgenLLec05wpKFa5ZevFq6dap0xFy1LNV9Mdl8s47y5PNz5e4HP5EB/XszKdjVJCKj81J0U6zf++JneeN9fyi79dvFEVEsMdPBEYrdZfTFN7kVrUUWW0Lk4rP6yzabreriV7qpxG4C8QuvT5OTTr9D3vhY5IKr7pQrztrLk4E17pt8fC9nzRTnEfmGDN5rOTnhqL1k0S4ujmVFlTwz5XMZNvIumevMmHDzG7Ljdhs7u+bJAYMGyK6DfiP7Dztf/u9tkV13WU/OPaG/J8Yq3WrPSBIVTB6T0xfvskCGDd7JWTHTIfCzI/Y6SxXerDmK3kN0S7UqRxwu1nlhVr2+TgEesos4XA4f/Adn/wyP4Wzp7rc5mlz0YpDuVRU/yio9lpMLRu0tQ92q4Qfst49MeuKFordlCg0BQ8AQMARaHwKNJiOzQcI0vkcffTRbMctv4whEyQJi0DF2IDZMDAFDoOUigEckHxbmmDNnjidsIG3wGpswYYKPn4fXWEhO4kFJHD0kfNDLBYXovSQfHXF1c2nTyrQcBJLGUz7nnoVndAyzfe211zwAa621lifWN9tsM+8l3LNnzzQw6DdpfQg8+eST8thjT8iSzpuv91bruQnLnzhCy01vzkhEqmdaY/FwevCEdCQjo4tpzU9P+V622ft6R1BlJuPc7Gq56LTl5Y/9N3Km/uIJrYG7bSHPPf+kvOyG85ffLJQ1enRyulNhlvCMvPvBl/1K02uuKLLpBis4L8AvZKFbxfrxF76SR591i+c4nX89o6/ssNmS0qnmE6l0ZGV1TZX02aCLXDH6D7LP8Efl3kfmyiF7T5VNey3uSNE6MhVENl3XTcceOUA6VzhPQqJBur5t//tl5Igh68u4f7zhpnSLzPi5RpZfxC1v4zwQOzkSjCV3aLdDzSy3aM90/8FzEsl0CiCLvXco5QAvcKSgbqxELmGo2BSpWFvaNUifqipq2/fep5msiG3FKUmNj+g9iYVjyKnU/nn9LsHhRCvZW0rprWs1cqz9CzwxU2X1PEXKqyIXQ7PCkZLbbLauG/93yjNPvugX5dpzz91rSyTU0/q2NQQMAUPAEGizCJSc6WFVyCFDhvg/6xtuuGGbBdo6nhmB8AGRVUV52GORDBNDwBBoPQhAOrIiNx990GJBj/vvv19eeeWVNDlJj/Gsh9TBc3KTTTbx+8QhzibhvSRb2Wh+Y+pGddlx6RDQsZOphVzKaH3KInF1vvrqK79YE+P0ueee8/saRgSyEeJ86NCh3gNSCfQ4PTa2FO3WteVetvvu/WXSvffLiy+/JX02WcKTUWHcwabsMbQRo1l5paS26/JTNSDwdthqLVl6sSdl+o8i9z0yRY49YF2np52jwBzVVN1B7n3oE094Dui3tCMBv/cE5hzngXnvw694emzNniJbbLmJa3yqLHCraafiFqaIqA02WE9W7vmofPKZyKNPvSIbrbebix05J20eeO27Zy9HRH5Tq9uRkY52q67oIGuusqRrK9WnmT/Pc2Qk3KFbYdu1WuU6Qh777d1U6HY+HqWj5eo66HLjJb2ytyP/Kirc41AOdUJN9a5pT2Y6BY7IgzT04tnBqhTZ6RJSSIQaMu/X009R10aKwA31x5CQnqDOrLtYuSyqU+Ow4zxNeeVNt5q2yE47bu1nRhSrDdNjCBgChoAh0HoRKDkZyVQ9HkD//ve/y9VXX916kbSeFQ2BcePGeV177rlnrM64B73YgpZoCBgCZYFAeM2G+xini+CooR999JH3OoOcxOsMohKPSgTPM6a+rrvuur4eL7hIy+ZBHW1T20pK13zblicCDR7SY8zMpYxWoyxjjBdheDky9hiHfJhyjTDFGu/dww47zBPjEOXLLbecz4t+hW0zxpAwLVrejls2AhP+cZ1ssv6KctoFT8m9Nx0my3ZZ6MmxpupVhXPtg/fis83GS8hf/7yHdJJvMzaP5+GyS9Q4Am+OJ7jaOXKvW4cfpP/OHeXv/57rCMa35ejBv3PkY3v36SwvvvqJfO3iMxJDcve+WzrC8Afn+Tjf0W5V8umXP/qp1h0W6Sb3TnrbLWpCzMyUdyAUHFfAvIrZ0r5LD0dcfSufTv3VeUx2dvt1U6Ih6lZcdjFHJs6GgnSdSVF3Fc7rbtlllkgTeYQ/SBK91txbBS44/3KBsp4TjK1URw+m6wblPKapyzeV2sBj0PGXrq3UtR0WrFUCQVmbXOj1X6ff6ay9lwQmNm4X0hLRfqWBqsMlVSB6nErlGyJyfk03+crF9zz57Luly1LdZMJ1t0pVFXFLUwrTarWaQtUgQwvY1hAwBAwBQ6CtIFByMpI/8MRMGj9+vJx88snSs2fPtoKt9bMABAj8z9RNiEiNIRdVU+ifuqgeOzYEDIGmQSC8ZnVft1ELVl99deEzePBgn8XDJyQRnmnEkoWg/Nvf/uZj8lEAb0lISUhNFrxiSvhGG20kq6yySlp1UltJ6emKttMqEYBkhHRk+/nnn/uxxRhT0psxxXjiv8v666/vPXMZk9lI7ziwbIzFodK60vivcte9D0vvLXrLuZfeIZecvocn4yDk0t53JeyyJ9IcsQNltGjnBbLGii4WpCP1sokn/dxUXz/9t3q+dKz4Sfbqv60jIx+V9118x/c//lrW/c2ijmhcVO598D6vf/ONq2T5pbu6/s3w9Wj1s6mpKeKvvzlL3nnzTj9tOkpfQSFCPbqJ3/L1FxCELoZlhFxbeqlFPMFZ422qs75dpbJX8HE5MlgR3XXairsXe317EtLZ7GzAdKbPR/uaqxWx+nOtXOpyjsxc4M7or7KMnHnhBJn+k8hDTz7sFq9x8/id1J21Uhti+g0BQ8AQMARaKgIlJyMBZsyYMd675fjjj5c77rijoD/0LRVgszs3BPTt70knneTfqI4dOzZrRa2TtaAVMAQMgRaLAAQQZGMY5gPSiFAOSlC+/PLLwsI4SibRWV6EMW0Wz0mmeuNRCUEJURldSCTuXhKX1mJBbIOGf/vtt5685gXXxx9/nCYfOZ41KxUHT8cJY2vEiBGywQYbeBIyE/EYjotwvw1CbF1WBBzrsuHGW8mJp58oY0ddJJtv+Jrst+u6jtz71hFzUHBRak4rFm8L6QVNB8HIgjSV3lcxpd/HRHS7UR4vFSvReSHiIefiXLZ33pJrrb6yrOtWsn77A3HTsp+TVUccJP/P3nkAOFVsb/xLtjdYeu8WVBAURFFUFJCqzy4+5Im994ZiL/+HD7soVsQOClY6WJAqdkRFUUEE6bC07Zv8z5nkJjfZZDfbs9lvdMm9d9qZ39wke789Z2ZPTjLmfeZZm1HXlVSvSl8osrSbL0PUvrt2Brrtny7t7JUygWKUBhYXSaEEsbOJhFknumV3aYfKdP7kFBFPw5CLC3DesGR/0ZBH+n40hoTM9dsToZxpxDRlZvErNo9e0dHt9SzUjYFM8gmhSqEK5l6GaVLQQKzL3tzSXyyPyNJLFi8hY9UNkVSofnLSF5i9CHj2lfHiPX60r2yQeb7rJc2RvxCPSIAESIAE6gKBCouRkfwyrg+B6hl51lln4YknnsDNN99cF9hyjGUgoL98jh8/HpMnT8Yrr7wS4NUUrpniv7CGK8nrJEACsURAl/6wBEr7d5CKTJbHm4pOGm6rHm8ffPBBwPBV4FSRUsO9mzRpggMPPNB4Yqt4qd9XKkbx8yUAWVSdqLfs6tWrsXnzZug86xqOKjhu2rTJiNTq8WgXptX4Tp06GSF6xIgRaN++Pfbff38z/9Y6pPb7qKTB2u8L+3FJdSJtu6Q2mBflBNzxuPPeh7F00Se4Z9x36NblQHRtly6iXIFnnb+KCD+lDF3vLys55Njhkg1F7P15VaFi4pBcMPemVDb3soRdx4uf2+nDemDVY99g5vxsXHplU8xb9A2yxNGyYZqsB3jcITImcYXUZMQ4oL04wu1aLcto7N8Ud91+EVLd28XDUXfilvalDxXpioRPgTNddCjZs9qVJa/ZkhssMvrHUdp7xozZNiCHWffRdsH0XsX/2LhrT8VsDsqvCmtsTqNV0XzYNoscCRKenYmvfs7ChEm/YeCpA3HueReFLc8MEiABEiABEghFoMJiZKS/jGu4k661NHr0aPMQqGtJair25R3KSl6LOQLB8667Z99+++0mNFPDMyO9r2IODAdEAiRQJgL2zwoVlnRDEf3RZB5Y5VXLqGilQqWKk9u3b8cvv/xixEoVsrKyskx56x9tR0MvVZRUcVJFSg0B12t6rp6V1rEKm8GfZ1Y70fIaiX2RlLGPpyrKq4Co86Giono26jzpvOmrXleRUfM2btyIffs8Yodlk85PgwYNjLA8aNAgNGvWzIiN6glrbSxjlQ31ar+PQuVX5FpVtl0Ru1i3kgh4hT8NIZ70xvs4ott+uGL0u/ho4gg0TpG1EnVdRhXejHjnF9wq3LvXEy/k/aXd+LQ5S/Qr7qWndd26G7LaJklDy08+6TA8/tQ3WL8Z+PbXXbIO5AqREIGhJwEZiboeZIEpK9XgdBaifbs0/LR6H35aKYtKugvEMzILifJjxEaxUX018xwN8d6cpXCJe2TXDgk49MAm4jPot8fbvWlX/3FIHb9Y6S/nKyAH+hmkY9ShFoUICvYN38fJ4mBvpSzHVv1Ae3wekb4OvW3KfeEWYdg/D0F9BQ/al23dK8ENWu16Xt0uyde1NWV8WtL68TUTfODl4FsjMjjfOrduUW/3hrM3z7pPCpCBNTvq49q730OLjk1kncg3ZPMa2VKeiQRIgARIgATKQKDCYmQZ+sKECRPMg8Rpp51mQrevv/56hmyXBWAMlbV+odEhqUekCpG6OYDeI+VZlyuG0HAoJEAClUTA/jmjIqL+WH8Is3ehgpcKkpbg9dNPP5ljDQVXAUzzw22cYAmX2nb9+vWNp6VdvNR+NE/FSxUx9fNNz6sj/frrr0acs3MI128kZay64YRI+3UVDS1x0WJrnVviopZR5voTSmC0+lNmKi7qhjH6PaEs1bNVvR2VtZ5HIjha7fGVBKqCgL6HmjRvg1enzMK/+g/AfY9Mxri7RkhXm01Ysl9cq/zeVZfSVOhINsJfnFs2kBFRyWX3kDQlRAJUsUmuGy9KEUpVLJWaJjfOnY+m9fIx4DgJ0/4UeH/mMnyxbJ2RDU8f1teIjFpGlS8db7zUG3BsV8ybvwx/rAFmzP0SZw/aT3a51lDuQjEhXrwiU/DH37vFc/RrIxnedIGEcx9wiuholuqlwqLp3v9PMbv9WXqkm/bEiQQpHw3Gv3JvbpwExGeKEKpiaY78eATTwFplPzOfizbjPLuLa88pMjpxFZXeE6XPeOHtNqtDevqwPk/dTgEVPDbLDK+Yqqe6K3WRCrcyf6ZdCVdPNOHuuu6oJYJaFUO/BkqkocuU56o1Fq3rmU+9xxrhhnsmYo3sk7Rk5seon9m4PE2zDgmQAAmQQB0nUK1ipD5QvP/++7jkkkugawMuXrwYTz/9dLU9mNXxua7x4dsfVNUYfcBXEfKNN94wHpEqRFohczVuLA0gARKIeQLWZ5KKg5ZA2Ldv35DjVkFNf/RzS8UzPd6wYYPvWK/ruQqZJYmXVuMqTFprV1qCpuZpCLolrOlrUlKSqaJCnHVstaH5Wj5Ucrlc5o87F1xwAVJTU0v03tTx2NdRtLgEj0PDou3hz3///TeKijzrvlltWJxC2aTX9MHW6XQaYVHtVwbqgarHKubqq3XdEiDL871gjSGcHbxOApVHwC4DOXF83xNx65034eH7HsXhh/+KkUPaeXetlh5LEdnKZJO2JUKXRzDzbJSyabsL877cYdZ/DCV+WmsgivQlomQu2rdIQud2yUb48rxn8sxO2adJqPa0T7/BlPeWiXcfcGgHoEvnNiIt/i3imHetRxU0RTA7bUBnTJu2DAtXAHc/shAJCQkYcuKhRhQsktZWrNqG0fd+bAKzM1OAM04fgnhnruyoLWtEBnkHqg3SqNHv5EWSKnmeI3Pq/Uf36FY70lM9o/xqxXqs3piExqkZaFVffS53S75XxIuYuX0ePR1Z9uiZfHJJiypEZmLK9GWY/vkmY9nDo09E20Zx5jjU/AaP0TuEgBfdlboQ6Xh3xpeY/tkW09bY205EmyZxRghW8TVYsVUxV/xaxTDxwJTWdLT6GjZFysHCrXNjE2K13SK3bFjjaIZnXv0ES74FHpvwBLp2P8LbpVpQnKHPKKtdb2m+kAAJkAAJkEC1ipH6pa6CpK4JOHDgQFx++eXo0KGDCd++7LLLAjYo4NTEHgHrFzINk3z++efNrtnW/aCh2XrMRAIkQALVRcD6TIqkP0s8bN++fdjinod5zxOXJcqpR6UlYKrgp2KeegSqsJeXJ95Lknbu3OkLFVdRTz0yNQWLgeZi0D86BvPAHHRdN+vR71fdmGXNmjVBueU7VZHQLn7az3XdzYyMDPMHJSukPS0tzYROKzurrHoxlkdcLM1iO3stW5a5La1t5pNA2Qg4cce9/8WiRV/I+pFfomeXZujSVryiHXtEyvK858vWXgmlRWByiqeiBjXrb1C/yBp+V9/wdihJyDRiiVVW+fPPBu66fqjJ0/eMipTx2IM+vTqjVeNv8Nc2T7tnDOssgmqO6UveXKa8vqoHZrLsrH3/7YNw0U2zsfYfiBD7KZ5t+Sn26yg7cstGOH9L9LbKVGli4OP/HYhmjZJFRNshfSXC6coX4dSTnOLbqFHHlojqCR9X+c9TRnv17FCuImih2JmDbgelY97SvdiwzoVhZzxlfBW/mtsfjdKlsIYlRyrASXFtUz0qNdhY+1IWnuQVNc2JCJLS7u9rNuGzJZ5ye7NlXdDGMjgLrreWvuiGPG7ZqEft1vlR7vbNhbSMJg3xdzvj8PufW/zt5mj/HtZu+eNS8Gea+dx3ats5pm1t37Tt8Hi5arsVSjYh0vLczHPUx9zFa/HkS3/h9HOH4pLLr6tQF6xMAiRAAiRQtwnod1eVJvsDgv2LdPjw4Tj22GPNGpKTJk0yO6EedNBB6Nevn9nRUh9cquKBpUoHy8ZDEtAHcH3A/uGHH6BrQ1oP2qeeeip01+z27duHrMeLJEACJFCVBOzfT9pP8HlZ+7Z/x1nipbahnn8VTSpgqnhpHkC9jZUkVuru4ip46vfsxIkTS+w+nEBoCYglVo6STDv7KDGJZtQVApYI5dGNvKOOwytvvosju7fH5aM/wrRXLkazZBW7VIyUgl4PwAohElHMhCqLyKn+0aq/aXCyR/AK3bIlq6nmp+XixBSfB6Gc67HmJTv34pwh6Xjxtb1IkgtnDuwigtc+o7eZYaog6fKESjvcu3Fwu3qY8ea/8dSzb+ODGW5sEFFynfxoUrHxuN7ANZcch26dM0Tsy5I+3EakSxThU4OdNenmOdKzOfb0od6G+eJbmeW9Krtwy7FDRUwZaZI7C1ecPwB/rH0fnywC8iR6XNOfa9ej0SHN5cgSE81l+cczehXWNJk+zJGKeGKPlNcwb7VH8+JkvJrs5bQN7VsFS7XUw1E/l72ekXLNfzuogKhemlJeNvSx2k1w7yu2qZEKr06Xrrdpa1fEX0g4uPZpPCN9lnjGYTbtETE4CTshDqImNxG7RCAWMTLQaMmNIPkNL1ZYJeFCRwbWb3finke+QEaLdFlX9MWgch6uQRfLZ0uxRniBBEiABEggFgnIkjG2P33V0AjVg0R3O50yZQq+++478wClDxZRYFoNEYnNbvXhvGfPnjjnnHOgQqQ+ADORAAmQQHUR0O+U8ohW5a1XmeMqiw0aLj5y5EjzHaqh3TNmzEBcnEoPdTOVhV3dJMRRV4hAGBHHLSLSogUzcXL/k0XMy8BjY04T0WiTWV/QrNFYHsHIbqiIkW6Rr/IdaSgQoSjfnSFymmdZB3sxj2SmV7xinO48LSVVtFLxLQVbjdBor6PrFua5G6HIkSR5hSKo7TVlnSKm+sy2jVvXEiwQeU7t0HobNmfjz7/+Qb366WjXsiEa1ZNVFt1bpQ37LtrqC1kPOY7m5rMqFRtF5NsbINTpePLQ0IxLBTkNLVdx0vIwVTtz0AS5RWlYv3EHGtZPRLM0EVAdGqYtYmQxz0gNaS4uRuo1I7i565swZD1LwQaxV+zxclM+Os5Cd6K0nCF2N5Zasju4e7N4jfrt9mMR3rKLeJFDhDzTrm7ao+3KON17A2wzazHKyPJFUs5DYyM+prj/ER5WuLnOnSX2eeZRz3U9TsNH5skp8xknAqZn3cxyeOD6DbffCoaXztPOgia47OZJWPILMPuzL9GjZ6+AcnrCz9piSHiBBEiABEigBAJRIUYG27d27VoTxmZfmyq4DM9rDwEN61PhUddks4f41Z4R0FISIAESiD4CwQ9+1rl6Rb7zzju+P+g9/PDD6NWr+INjqBFZbYTKK+laeeuV1GZJedXdX0m2MI8EwhMoxIP33o5x9z2CR8ccinOHHCJC2fZi4l/4+qXkmFBk3SQmwYheKmoF/zFflxvUpOtF+pN428l1p6PACHsaomwlLe6SdtwqbHoXmdR89fBTYc6ET8u6rwENqjAqIqf6Frrkxy2CnVu9J6UVraMejgm6qY6ELFuiqIppnjUY1ftPPRFl4xndotsmIBqR0K0Cq7YvWTY7tI6OVzd90c1fzNglX4XKONnV29eOYWQJeFrLmyzxzWwyo56Rao9w1HFLStBNeISPSToW9d3wjtNjt5aTGjIuu/BpNevDLXWKHFa73vJWu57WQ7Tr5SHMS0pm/DL3yl5TMJ+S6vrylI8mG3fPBeXrYZKNFrj90fl45b3Nso7oWxh26rlWEXm12FpiqS2LhyRAAiRAAiRQAoGoESP5YFHCLDGLBEiABEig2gmE+14Kd73aDQzRoW4oc9ppp2HPnj2+3DPPPBNXXXWV77wqDiqLSWW1EzzGqmo3uB+ek0AoAkP798T3C7/BB6+eha5tRe4SQVLXEwwlAIWqX/I1r1DmU7+CShdTx4Lyg05dXg9yR1iRKlB8Ku29FZxfRnNUEfOkcONTMcyIhWEKhB1HKdyCuER6qub6LAk48bQQzCPSdrVcReqG7ScsH/XfFc9LVwN8tGANrrrna/z74vMxfsJEacouPPrvhyqxL6zhzCABEiABEqjtBOzfJjU6lvKEztWoweycBEiABEggpgmE+14Kdz0aYCxYsCBAiNSdqxcvXuzb9bqqbKwsJpXVTvA4q6rd4H54TgIWARVm9EfTpDemISEzHpff9i525KaYkGbLm80tHmn64096HOrHXyLwSPrwqV+BOeZM80rKD6riFGHPFFebAuyyCuqjg//xobT3VnB+Gc3x2F6i/WJLoNunZajnNew4SuEW2ErEZwGmBpx4zTEeoxE3F1AwkKV1jwQUifhE70xzdwbxsa7rq4bBf79WNmQa+zUO7t4RD497Qu7p4EH574dA+yI2hQVJgARIgATqKAH/bxN1FACHTQIkQAIkQAKxQmD69OkmTNMaj0t2Yd24cSPWrVtnXeIrCZBANRBQYcYSZ5o0b4dXp8zCHxuA+x+dglw09QiSYod6IFqh1NVgFrsggVIJaJh+gaxfuSu/Pu74vynYI9Hzb787E2npmb57utRGWIAESIAESIAESiFAMbIUQMwmARIgARIggdpAQDeu+eGHH3zeWHably5daj/lMQmQQDUTOL5vf9x65014e2Yh3p7xm4g99cWCeK8V+uu45emmx6F+vEUt1zXvKV/qKgHrHrHum7JxUP/GYB9HbUGvFclmRDloJTtnT8E3PwMTXp6ENu3312wmEiABEiABEqg0AvpNxkQCJEACJEACJFDLCXz00UcBQqQVIqrDWrhwYS0fHc0ngdpLwButjTvuHYtj+h2Je/73JX5dlydbrWTKe1Y2QjHxsrV3fLS8FhIIES6uG9bobuEFcl9+/NlqTJ6eh9vuvBZnDT9fBuh5ZLR/r9TCUdNkEiABEiCBKCIQNRvYRBETmkICJEACJEACtYKAPhhqKKiGY/fr1y+szVruvffeQ8OGDU0Zq17YCswgARKIjIAlJHrdzIJOfTqjJ9uFzZv+wZHd26BpMjBt4sVomrJR9m/O8velIpGlXvqv+o9K2HDEX4hHJFB2ArqTeAHqYeVfbpx52YfodvTReO/j+YiL9+x4ri0G399l74U1SIAESIAESMBDgJ6RvBNIgARIgARIoJYSsNakW7JkScAIrOvWRT3/8ccfrVOu++UjwQMSqE4CTjRr3hpvTJ6O37zrR+ahIYrcKSLyeEO2SxIiq9NU9hXbBOyekSJw6/1X4ErH1n2ZuGb0h3CkxuGZF98OECJjGwhHRwIkQAIkUN0E6BlZ3cTZHwmQAAmQAAlUMgFdL3LLli0+kfGll15CVlYWbr75Zl9PzZo1Q4sWLXznPCABEqg+AoEeZYW4+vIL8Przb+D1x/qg/1HNZZW+XRIIm119BrGnGCega0naU3j/ExUi1SsyGy1x69iZeOOjLXh/5jQMGHy6vQEekwAJkAAJkEClEqAYWak42RgJkAAJkAAJVB+BcOHWKkLm5eXh6aefrj5j2BMJkEBYAoFiJJCbm2vCtQu2bsN7r45Ax0b7kICdsrO2iEiOYCEpbLPMIIEwBILvofBiZCHSZMOaRnh5yle4+8nfcfPdt+Pu+x6UdsPXCdMpL5MACZAACZBAxAT4LRMxKhYkARIgARIggegiEByObVmnQkdysixKx0QCJFC1BFRltJTGgJ5UDPILQrpmpHdZSVNK359TP5iPbbnADXe/iVzZNKTIlSh58qt5cHsBIbVSJDjftMh/SEAJeO47t1vvNn3Ms340z3Pr2G8f3bQmH+lYvqoQDz39O47u2x1j7rpXSvIRUXkxkQAJkAAJVB0BftNUHVu2TAIkQAIkQAI1QkC9IpOSZJdeJhIggaonYFcZy9Db/gd2w6PPvIDF3wFPvjQLeY7GJlw2QLXU9riOZBmosqgSCPWHKvWkt6ci8cXNlw1rNmyPx633vItGbevh3ffnyjqRKoozkQAJkAAJkEDVEqAYWbV82ToJkAAJkAAJVDsBekZWO3J2WFcJ2IRIlXqsn2CPtJB4pO7IURdh+Pmn4dGJmzHv650iSKZL0biQxc1F7c/WZ/iCzKnLBIKFR2WhAqX99ilCCvahNW576B38tQV4/e3pyMhsVJexcewkQAIkQALVSIBiZDXCZlckQAIkQAIkUB0EVIykZ2R1kGYfJOAhEOhzVhYqTjz93Ktod2AT3Hr/bOOllu+oJ86QCWVphGVJIIBAKM9Iq4DZsEZ2cNed3F95dzE+WQaMfWIcjjjqWCnCR0OLE19JgARIgASqlgC/caqWL1snARIgARIggWonoGJkSkpKtffLDkmgrhKwPM6s11CeaeHYJCWnyfqR85Al60fedNc72OduhQIH37/hePF6SQT00a7kxzuXCN15jkws/nYD/vfsSpx0an9ccPHVvkbLcu/6KvGABEiABEiABMpIoORvqzI2xuIkQAIkQAIkQAI1T4BrRtb8HNCCuk2gJM+04mSc2O/AQ/HE+KfxxffAEy/Nl92NW4jnmmxqI+v6aaJAVJwar5SRgNspywjEi9Cdhn+yUnHdnZ8jo0kKJrz4pqwT6d/wrGz3bhltYHESIAESIAES8BKIJwkSIAESIAESIIHYIKCChf4UFBQwTDs2ppSjiBECGzZswNatW0OMxu8XcEj3o3DK2cMw6b3paNy8FXodkoFOjYFGGU5Z78+/M3eIRniJBAIIWMsGWMuLGjHb4TQbJGUXZeL6u1/F7iLgi3lL0bhx04C6JZ4EN1xiYWaSAAmQAAmQQHgCFCPDs2EOCZAACZAACdQ6AhqirSk52e/pUusGQYNJIMYIrFmzBnfddVeIUfnFSE+mCwd0PwJzlqzDls0O3DjqcLiwDXEqAjnln6AdkUM0yEskUIyAQzZFykeyeNs2xrgJH2Hh18BLb7+G/Tt3LVZWhUt6RxbDwgskQAIkQAKVTCD4N6BKbp7NkQAJkAAJkAAJVBcBfYDMz8833VGMrC7q7IcESifQu3fvMIXU49H+A/FeS0TWvgQs/XatbKzdQLZBToZbvNooRIZBWAcvu8VTVn98SUKwoT/eZK1dak41PFvunwJHBj75agdemLIT58gO7mcNHyHZ/jq+uvI9EjYFNBy2FDNIgARIgARIoFQCxb+BSq3CAiRAAiRAAiRAAtFKICcnx5hGMTJaZ4h21UUCcXFxuPDCC31DL8nz7OJLLsclV96CZd+5Mf6lj5HtbmjCa32VeUACZSBQ5BCvSHcmVv9dgOvHzEKnLu0w7onnpQU+BpYBI4uSAAmQAAlUMgF+C1UyUDZHAiRAAiRAAjVJwArTTkpKqkkz2DcJ1CkCZk2+Ekas+f3794fT6fnVO7i8ipMJCQm4/fbb8O9//xvnj7oI/z7/X3h84mZ8+nWWhNimy+Yjtl/bNWzbWr+vhH6ZFZsEHOLtqD++pF6Sdk9JX4Z42rrTsNvVAveM+xC54tn49tRZqJ/ZyFaChyRAAiRAAiRQ/QS4ZmT1M2ePJEACJEACJFBlBHQnbU0UI6sMMRsmgWIESvJ0/OGHHzBjxgx88cUXcLn8obVax1qfLyUlBQ899BC6dz/U27YTzzz3Or5c1gm33DcLMyadjbaN6sleyPsQ5yhkyHaxGeCFYAK6c7buxp7naIj/PfMhPvsKeOfjyei430HBRXlOAiRAAiRAAtVOwPYntWrvmx2SAAmQAAmQAAlUMgHLM1LFDSYSIIGqIxDs3WjvaceOHXj77bcxcuRIXH/99ViyZAkGDRqEMWPG+IpZ9Rs3bozx48eLENld8vRXc8+v5wnJaZj6wSfIkj2pbrj7HZEhW4u4lAK3Cpq+tftU3PQLnL7GfetQ+q/wqG4RMEIkGuGdGd/hxckbcd3oazBo2Bnm1qlbJDhaEiABEiCBaCRAz8honBXaRAIkQAIkQALlJEDPyHKCYzUSKCOBYG9IFReXLVtmvCD1taioCN26dTOC5PHHH+/zVp46dSp+++034xXZtm1bPP7442jYsGGI3p1mt+PHxj+Nqy64Bk++NAc3X3yM7ItcIHJlgYhK4iHJRAJBBDzh/E4Uuuvhl3WFGPv0ShzT7zDc88BjUpKPfkG4eEoCJEACJFBDBPiNVEPg2S0JkAAJkAAJVAUByzOSG9hUBV22SQLFCWzcuNEIkLNnz8a2bdvQqFEjnHPOORg8eDBatWqFYNHy7LPPxgMPPICOHTsaj8jSvJjPG3U5Pv/8czw5cRp6dWuHE49ojkT3dk+4tn0dSZtpKkj59kTWtSV9J7ZCPIwhAh7vWJ13l/wUIRk7clNwzZg34c5IxKQ33kd8PB/7YmjCORQSIAESqPUE+K1U66eQAyABEiABEiABPwFrN22uGelnwiMSqGwC+fn5WLhwoREhv//+eyM4HnXUUbjhhhugr7p7drikXpIqWp5xxhkllvPXj8f4517Dzz9+LetHF4OXIwAAQABJREFULsC7E4ejU9N0kZzEO9KtIduhwrT9tXlUVwh4QvxViMxFM/zfU5Px45/AJ0s/QZPmbeoKBI6TBEiABEiglhCgGFlLJopmkgAJkAAJkICdgLXeXLDXlRWmTc9IOy0ek4CfgL53gt83/lzdGyZ8/h9//GEEyPnz52P37t3G8/Giiy4y60GqR2QkSYXKs886u8SiPhu8Xo3Jyal4c8oM9DikC665YzKmPn8+4uOyxTsyT5weVZAU10ex20oBjpD2E2sHZgqYFqpa+WrNtE6t514RIVLn1qESdX28N/9PvDU9H7fdeS2OPOpoKeVZh7RWDpZGkwAJkAAJxCQBipExOa0cFAmQAAmQQKwTCCemMEw71mee4ysrAZ+wJxXtx9pO8LleC35vZWdnQ8VH3RFb13pMTExEnz59MGzYMLPpTHB5baOiKVSbHWQX5CefexFXXXgJxk34CLdfMwSprm2yCmC2dOf1jgwSJStqB+tHPwHrXilyJIgQWQ/frsrCnWMXof+w4zHm3odlABQio38WaSEJkAAJ1D0CFCPr3pxzxCRAAiRAAjFIwBJV6BkZg5PLIZWZgPV+0IqWWBN8HOpcr1lpxYoVRoBcsGAB9H2133774dprr0X//v2RkZFhFTOv9v4CMsKd2L0Vw5XR675yHrFx5AUX4isJu53w4mR07bYBpx7bGPHuXNlhW7w5neIvZ/OODNksPSJDYqltF323hRhu3XuFSMOWnCa47u4XkdwgHq/IOpHOuMTaNjTaSwIkQAIkUEcIUIysIxPNYZIACZAACcQ2AUtwUc/IhISEAAEmtkfO0ZFAcQLW+6F4TslXdu7ciTlz5hgRcv369UhLS8PAgQMxdOhQHHDAAWErl7e/sA2Gy5BQ3MeefhFffbMct9z7OQ6aOAyHtK2HBMceqVEQrhavxyoB9YQV39hCJCEPDeSeeAV/bQU+nP0B0tLrSx69ImN16jkuEiABEqjtBChG1vYZpP0kQAIkQAIkIAQs7xj14NL1Iq1zwiEBEiiZgMvlwvLlyzFz5kwsWbIERUVF6NatG0aOHAndbKamN4PyvJf9olJ8UiremTYTR3bvjFsfmI63nr8U9Z0uJCKr5IEyN3YIWGt/Snh+kQiROWiCF99aiNkLC/HMK8+iT9+BMlb/PRM7A+dISIAESIAEYoUAxchYmUmOgwRIgARIoE4TsDyz1DNSxUjrvE5D4eBJoAQCGzduNALk7Nmzze7WDRo0wFlnnWW8IFu3bl1CzfBZVfFHgGLvZRGi2rQ/EP974mlcdcE1eGTCx7jz6hMR586D0yE7bIufHFPsE3DLZjVF7njkO+rhm1W78b9n1qD/0GNw3qgrvH+Min0GHCEJkAAJkEDtJUAxsvbOHS0nARIgARIggWIE1DOypj25ihnFCyQQJQQKCgrwxRdfGBHyu+++M6J9r169cN1116F3797Qna5LSqWJjcWEw5IaK0+ed7FAXRryvFGX4wcZw/NPTcRRh/2JgUe3QZJ7B+LM7treDW3K0wfrRD8BWfvThQQUOdKwYbsTV4z+GI061MckWSdSk3Uflna/Rv9AaSEJkAAJkECsEqAYGaszy3GRAAmQAAnUSQI5OTnGM7JODp6DJoEwBP7880+zDuS8efOwZ88etGjRAhdeeCEGDRqExo0bh6lV/LIl8hTPqd4rZqlAWSvwwbHPYM7MD3DzvUvR8dVW6NwiXcRIWTtSxEpws5rqnZRq7M0tIdganp2V3wBX3/Yatu8DFi5YhIzMRgFWRMv9GmAUT0iABEiABEhACFCM5G1AAiRAAiRQSwlYnj/B62KFu15Lh1lGs/Pz82uJZ6RnnlQz0eTg+mYeEPy30ghkZ2fj008/xfTp0/Hrr7+ajZ2OO+44E4Z92GGHVVo/NdGQ5fGWlJKMOZ8tR9fO++HmB6Zi6oRRiHfkiA6Zw3dUTUxMhfss/ftLhUiX/ORJePbjEz/H0p+BZyY+jQM7Hyzh2Q7xiqywEWyABEiABEiABKqcAMXIKkfMDkiABEiABKqGQLAIWTW91LZW1TMyJSWltplNe0kgLAFLeAtbIChj5cqVxgvys88+gy5b0LFjR1xzzTUYMGAAMjIygkrXzlO7x1uL1h3w6PgXZP3IS/HECzNw46X9kYxtIldlewan6pTGdTPVXgK2OXQ7EpHnro8vlv+DiW+vw7kXnoORF1wuY3NSiKy9M0zLSYAESKDOEaAYWeemnAMmARIggVgnULdFShVfMjMza8Eke+aJTjy1YKqqwUS74Gg/1q7twls4U7KysqAb0cyaNQvr1q1DamoqTjrpJAwZMgSdO3cOVy1mrp8/6iJ8Mnsanpw0B4f33I1+h2dI+FOueByLp50Kkdbuywzdjo45t7Th4A/AYvPk/T6zicn57nT8+Fc8rhyzEN2PPBiPPfmcjKluf+9Fx6TSChIgARIggbIQoBhZFlosSwIkQAIkQAJRTsDaTTvKzaR5JBBAwBIcg4XIgEJBJ1p2+fLlxgty6dKl0M1punbtittuuw0nnHBCLVmuIGhQ5TpVIcqFV9+Yhl4/H4jr75yBj14+Ffu1yBRBcg/iHLK7tk/8opdkuRBXc6VQ7wO3OwEFjiTsLWqIG+5+BbtkadDnX5mMtPR6Yh3FyGqeInZHAiRAAiRQQQIUIysIkNVJgARIgARqloDvGbtmzYia3mNOjOQER829VRWGBIsulihZUl+bNm0yHpDqBbl161bjCXzmmWcaL8g2bdqUVDVm88xagfEpeGHiu+jX52hcd/cHeO3Zi9AooRBx7izRqmSXcOMhGbMIatfALI/I4M8373WHbEMUkMRjssCRghy0wP2PvoMVq4G33nsTHfY7SIoVFyKtZq02rO6sc76SAAmQAAmQQE0ToBhZ0zPA/kmABEiABEigEglomHZSUlIltljDTfEpuoYnoGq7j0R8VAvU63HhwoWYOXMmvv32WxO6fcQRR5i1IHv37o34+HjR2oIlmKq1vSZbDy3iOnBYz954bPwTuPaS6/H4CzNx91UnindkHpzuAgnZrjt8anJuKrtvt0uC7Z3iFYl6+Piz3/DGB3tx8RUjcMppw6UrjxAZfD9Utg1sjwRIgARIgAQqmwDFyMomyvZIgARIgASqlUBd16qCH0Jri2ekJYvU9fmr1jdLlHYWfA/bzVyzZo0Jw547dy727NmD5s2bY9SoURg8eDCaNGliLxrR2pIBFWrxSTER1/aGGnXxVeI5OhMvvjkXx/ZYg/5HtUSSeEfqhjbF6tViBjFhuvUB6F0r0u1d09O6DJdMrIRmF7ozsGpdDsb83yLs3709xj02QYbv94gMnldf/ZiAxEGQAAmQAAnEIgGKkbE4qxwTCZAACZBAnSAQLOK4XC7jQRZLnpE2jaVOzGldHGSwkJKdnQ3dCXv69On45ZdfkJiYiD59+mDo0KHo0aNHnfKALN/9EI8nn3kVx329H265bwmmv/0ftMksQJL41sFR5AnXLl/DrFWdBFSgdDiR70jDznzPOpG5Er393scLkJAcG7vCVydO9kUCJEACJBBdBChGRtd80BoSIAESIIFICVClKublpF6RKlAmJydHSrHGypXmuWMJrVY5TneNTVWJHVvzVGKhCDN/+ukn4wWpQmROTg46depkwrAHDBiAevV0kw5PChYvret181V2y9YkopU9qQfptA/noU/Po3HV6Ncw+ZmRiI/bJ+tHuiRcWwRJm1edvR6Pa4hAsEekmOGWOS0SCTkPDXD1Xa/hG1knctanM9CqddsaMpLdkgAJkAAJkEDlEaAYWXks2RIJkAAJkAAJ1CgBXS9ShZraIEaWBoqCU2mEoiO/ovOUlZUFDcHWtSD/+usvpKamon///sYLsnPnztExyFpqRdfuR2LMA/fhwTvuwTOvzMX1F5+IFGyXNST31dIR1S2zXY5k5LgbytqfszB7YREuuOoiHHfCoLoFgaMlARIgARKIWQIUI2N2ajkwEiABEohxApbLXKnD9HoOxagnkN0zTT0jNcWCGBk8rRFPd3BFntcoAfv9aRmi17766isjQC5evBiFhYU45JBDcOutt+KEE06IyfvXGnvlvwZ6RAa3f9Mto7Hw8xl4dOJyHNR1G4YcmSH7NOeId6T1uRhcg+c1Q8CaD898uuX7Ks+dhoU/7MP417ai6+Ed8cijT9SMaeyVBEiABEiABKqAAMXIKoDKJkmABEiABEigugjYPdPUM1KFnlhaM7K6OLKfyicQLERu3rxZNlaZZX62bNmCzMxMnH766RgyZAjatWsXsQHB7UZcsQ4V9DByIk52GZ/83kx07tQcd/53Hrq8PAJtGrUUMbJA5C5LAKtDYGrBUF3iu+oWyfjv7fG4fsybQJqsE/nhXCQnpYr1JYvPtWB4NJEESIAESIAEDAGKkbwRSIAESIAEYoNA2EUFPQ9vixYtMh5YOthYFTP++ecfE6a9evXqGNjkw2nGcswxvREvggpT7SOgQrl6Pep7b8aMGfjmm2/MnPbs2RNXXXUVjj766DLNrfW+tQvwtY9K1Vgc/PHncOgV/XEiLa0B3pgyHacPG4RzLn8Td916JhLjCr1rR1aNPWy1/AR01opEjHxg3Jv4e4esE/nZLLRo3U5mUz4Tfc1aQnJocTL4fvBV4wEJkAAJkAAJRAkBh/xiZ31fRYlJNIMESIAESIAEykHA+jbzP635Gnl/6ps496zz5PFO9nmQn9CPb77itfYgKRFo0cKJzZtdyPFEbNfaseijtm6z8eyL43HBxVfV2nHUVcPXrl1rwrB1Pchdu3ahWbNmxgNy0KBBaNq0abmxWIJkuRuI4Yr6Eej/+CsuVv3vv/fi7jvuE787+D4LYxhHrR2azqN+9hXKz933j8Edd91vhEgdUEnzq/lWKuHr0CrCVxIgARIgARKoUQIUI2sUPzsnARIgARIoP4HiD9uh2lq/fh16dm2Hrm2Bqy86ASnx8ojn1sc8pmgkoEKxy50gAaQp+L8n5+CXTcBnS38wawqKW508jMeqlByNs1E2m3QHbN0JW70gdWfshIQE9OnTx2xG06NHD+MVWVqLFBtLIxSUH6hAepwhpYhb/ivuQerC0kUL4CrS5RwK+U4KQlnzp57vNJeZmTgjQB7d5wQJtZe/MpU3FVMlI/veLG93rEcCJEACJEACkRKgGBkpKZYjARIgARKIMgKRPFQVYOiAPvjl2+WY+epIWSstz+wkK8GjtrEY+UvOa/er2y1CnQnNrC3jsE2BOfTY7XTrSnbxRoxcn5WKk0ZMQpP27fHpwm+Rml6fYmQwtig4//nnn40AqUKkCpLtZb6GDh2Kk046CfXq1YvIwlAiZKhrETVWlwoFi03B58JCY6BEx2eqFQQi+V4rw0CK3Q+V3H4ZTGFREiABEiABErAT4CJMdho8JgESIAESqDUEXN6ANZWwPKn4Q9azTzyMxfOX44n7+6BNw0IkYYfUUo8g6wlNaoqIBxXxavur4VGLxmFNm/Vq8ZdxaDi9BJqjRQMH7rzuSNx435d4fvw43Dj6/3zrffpmUJQWuwcYBSwLaNW+ZmVlYd68eUaE/Ouvv5CSkoITTzzRhGIffPDBZe7cPodW5VDXrDy+egkEi4zB51KMQmRtulv832iVYnWx+6GS268UI9kICZAACZBAXSRAz8i6OOscMwmQAAnEAAFLjPI/a9nFSBd+//VnHNWtK84b1gD33XSGBP1uQKJ7rzyZW+ViAEKtHoJ3HsQT0iT/RPpGlY90kSRb4c7/TcXrH+/Ggq+Xo1v3HpLvl5NDVPPV50HlElChVzeh0TBsa0OoLl26YPDgwTjhBFkCQQRJJhIgARIgARIgARIgARIojQDFyNIIMZ8ESIAESKB2ELCpk0WFOTjmiIOxc/1azHtrBJqn70CCO0c8hApqx1jqopU+UdIvFrslXLsAydi0rxH6D38LyY2bYfk3q5Cclll+Qrb7pPyN1K2aW7ZswaxZs8zP5s2bUb9+fROCPWzYMLRt27ZuweBoSYAESIAESIAESIAEKkyAYmSFEbIBEiABEiCBqCBgE5nG3HIZnnnkBbz82EkYfFS6eEVuleBfv8gVFfbSiEACIcRIq0A2mmHWsr246Ma5OP/yf+PJCa9LVjnDDW33idU+X4sTKCwsxOLFi40XpHpDqldkz549TRi2bkoTH8+VfopT4xUSIAESIAESIAESIIFICFCMjIQSy5AACZAACdQaAgs+/xSnDOiHq4c3xugrB4sQudlsWqMLp5n1BGvNSOq4oSoaemOw85GGXBEkb33oTbwx04UpH72PocNOreOASh5+WdfOtMqvW7cO06dPx9y5c6HrQjZr1syEYQ8ZMgRNmzYtsVOrjRILMZMESIAESIAESIAESKDOE6AYWedvAQIgARIggdghsCdrK3pLeHa6Yxs+fPE/aJC4GQkiY5ndsy0xUndz0O1lmaKbgDVFOl3ecO3tuc0w9PzXsCXHiYVLV6LDfgeZMVAEq9hU5ubmQnfC1rUgf/rpJ+P1eMwxx5gdsY844oiKNc7aJEACJEACJEACJEACJBBEgGJkEBCekgAJkAAJ1F4CV11yDt6d+A5ee2YIjuuWKrtnb5VgXt13myHaUT+r3jBtt3eDIfvGNG6XnDnjkOduhMU/52Pk1dNx3OC+mPzeZz7vyagfXxQa+MsvvxgBUoXI7OxstGvXzgiQJ510klkXMpTJFH5DUeE1EiABEiABEiABEiCBshDggj9locWyJEACJEACUUrAhdkzPsCbk97BTRe2xtHdGosv3WYRIgutSN8otZtmhSVg82B1OMVN0l2IeMde9DqkGa78T2v878XP8forz2HkhZdKE+VcPzJs57GbsXv3bsyZM8dsRrNmzRokJyebnbCHDh2KQw45pNSBO3RemEiABEiABEiABEiABEigAgToGVkBeKxKAiRAAiQQHQR2btuAXt33R7P0HHz00gWo5/wHcQ5veHZ0mEgrKoOAIwEFrgTsLmqB4de8hmU/AT+vXoU27Q+sjNZrZRuReCpqGd2ERsOwdVOagoICdO7cGbob9oknnoiUlJRaOXYaTQIkQAIkQAIkQAIkUDsJUIysnfNGq0mABEiABHwEXDjvrIH4YuZ8vDHhTPTavxDJEp7NFLsEciRce9Wmejhl5Bs4/Ngj8eHsJTLY2PSOjERsDDfTW7duNR6Qs2bNwqZNm1CvXj1oCLZuRtOhQ4dw1XidBEiABEiABEiABEiABKqUAMO0qxQvGycBEiABEqgIgdKFGBden/QyPpo6H4/dcQh67B8n4dlZobv0rkkIa/1IRpuG5lRjV611PT2iom3/Go9FtguJzhwc0CIZd117EG4e+yX++8D9uP2uu6WcX5C0Fa+xEdVEx4WFhVi6dKnxgly+fLkxoUePHrjssstw7LHHIi4uzlwr/b1VE9azTxIgARIgARIgARIggbpAgJ6RdWGWOUYSIAESiFECf6/9FUd174y+Petj/L3DUC9uo8hRBaE3rKEYGeV3QaAYCduakZ5jMV93QRcR2S2z7HInYZ+jJf597WtYvBJY8tXXOKhLD98YY1WMDCcirlu3DjNnzjTrQWZlZaFp06YYNGgQBg8ejObNm/u48IAESIAESIAESIAESIAEapoAxciangH2TwIkQAIkUC4C6gE26IRuWPvDz3hv0rniKZcju2dv9wqRKmz5veTK1QEr1QwBn2js7d67u3awMW7xgc1DJn7ekICzLpiK1BaNsPTbtUhPTw8uGrPnubm5+Pzzz40X5MqVKxEfH49jjjnGCJC9evUSDZfuvzE7+RwYCZAACZAACZAACdRiAgzTrsWTR9NJgARIoO4SKMQjY+/BV4t+xjP390CnFi6RpvZ6hEiH+MRZbnF1F1DMj9whO6XHYx8ObNUId93cHdfd+z0ef+QB3HXvQzL22P71ZtWqVUaA/PTTT5GdnY22bdviiiuuMOtBZmZmxvzcc4AkQAIkQAIkQAIkQAK1mwA9I2v3/NF6EiABEqgTBIJDU1d+vxR9jzoaw4e2wH9vOQkp7g2IM+HZhaXzsDzvwnjcld4AS0QFARWcZXdtlSSz0RIXjX4Lc5cUYvq8mejTd7BGc8dU2rt3L+bOnWtEyD/++MPsgH3CCSeYzWi6dOkiEexuekLG1IxzMCRAAiRAAiRAAiQQuwQoRsbu3HJkJEACJFDrCRQXWFwokvDsnl1aI2/bVsx4+2K0TN8s4dk7Ih8rxcjIWUVTSfsakmqX5f3qdCDP3QCbcltiyPDnkdykORZ/sxrJSalSqPaH6n/77bdGgPziiy+gSxN07twZQ4cORb9+/YwgGU1TRFtIgARIgARIgARIgARIIBICsR3HFAkBliEBEiABEqghAkEbloSwQte8CxQkXbjphqvx569b8dqjvdEsfQec7r1wixuczxOuNLGRHpEhSNeCS7p5jT2ZeRSxUa4nIBdNkrfiv6OPxqhbluD2m6/H408/J1kOn7egVdt3n9jbqobjwPu45A63bduGWbNmmZ+NGzciIyMDp5xyihEhO3bsWHJl5pIACZAACZAACZAACZBAlBOgZ2SUTxDNIwESIIHYJVC6GGmN3RJyZk1/F+eeejYuGd4Rd13dG6mQ8Gx3kRRzRS5GWo3ytZYTcPnERrO7tgTqZ6MFHpqwFONfX4vZn02XcO2hvjFKablH9L/oTOr1uHTpUuMF+dVXXxkR/rDDDjMC5LHHHouEhIToNJxWkQAJkAAJkAAJkAAJkEAZCVCMLCMwFicBEiABEqhkAhG6rOmaeUcd1hbJ2Tvx/usXonHyFiQ7dokxKkR6d88ODuWtZFPZXPQSUEEyH/Wwp6g5Rlz5Mn7d4sSy7/9G8+Ytq81oSzQvrUN7ub///hszZ87EnDlzsGPHDjRr1gwDBw40O2K3aNHCNGUvX1rbzCcBEiABEiABEiABEiCBaCdAMTLaZ4j2kQAJkECsE4hEjHQX4IpLz8e7k97G20/3wzHd6iMRu2Xrkhyhox5yunlHXKyT4vhKIVAkq4cWIAOr1jsxbNT76HfKELz69odSq+ZWpQklJObl5eHzzz83IuSKFSsQHx+P3r17m81oevXqBacz/FqXodorBQuzSYAESIAESIAESIAESCCqCFCMjKrpoDEkQAIkQAKhCHww9VVceO4o3HplF1w1vJuEZ2/0hGc7bLtn0ysyFLo6c83tkgBsZ5xI03G6giQmvr8Kd437Aa+9+wpOOXOUb7+bygzTLqsw+OuvvxoBcv78+cjOzkabNm1MGPZJJ52EBg0aFJursrZfrAFeIAESIAESIAESIAESIIEoJEAxMgonhSaRAAmQAAlYBFzYlbUDvQ9vh5ap2Xjz+UuR6dwg/m9ZAbspi2ukqUDxxuJWB19tGxdpuPY+tMGlt7yAxSuBr1auQavWbUWQdFb7mpF79uzB3LlzzWY0f/zxB5KSktC3b18jQnbt2rXEiQp1P4e6VmIjzCQBEiABEiABEiABEiCBKCNAMTLKJoTmkAAJkAAJ2AkUYuS5p2PW1I8xbcKJOKpLPcS7d4vvW56Ikd5Q1nC7Y0cS/m3vise1lIB3vVC5KzyitJw7EpHvTsW6nek4/qwpOH7IQLw1dbqMr3rCtVUw/P77781mNIsWLYKGZR9wwAEYNmwY+vXrh9TU1FrKmmaTAAmQAAmQAAmQAAmQQMUJVM9v5RW3ky2QAAmQAAnUQQJvTHoeH07+GPffdDh6HtIEie5NcLhVbKqDMDjkkgmYXdWttRbzZU3RQrRsmILRV/fAnePm4IXxj+DSq0eX3EYZc4O9FHUDGt2MRn82btyIjIwM4wE5ZMgQdOrUqYytszgJkAAJkAAJkAAJkAAJxCYBekbG5rxyVCRAAiRQawgECzqW4Zs2/YMjurbCiYcCj983EmnOrRKevU+ESPWEs7zhrNIhXukZGQJK3bqUj3TZ4qgVLrx+Ij5fASz57icc2PlgLwS9h+zJEjLt18IfW/dtUVERli1bZrwgv/zyS7OZUvfu3c1mNMcddxwSExPDN8IcEiABEiABEiABEiABEqiDBChG1sFJ55BJgARIIPoJFKDfsT2x9qcV+GzKSDRL3yZekTmyY3aBmG6JSKWIRxQjo3+aq9jCIiSgyJ2G9bvqYeB5b6NJh05YvOxHOOJTvD1b95KelnI/Bdm6fv164wE5Z84cqEdko0aNMHjwYPPTsmXLoNKBp5aQGXiVZyRAAiRAAiRAAiRAAiRQNwgwTLtuzDNHSQIkQAJRS0CFGU0O3Q3bm14Y/yi+WbQCD9/ZA43S82SlvxxZD1B2zjZFIhSN/M1ZzfI1hghEojU7USQS4z40y0zDg7cei6vHLMRj4+7HTbf/10siwnvJW1rXflywYIHxglyxYgXi4uJw1FFHmVDsI488Ek5nZO3Z7/UYmhIOhQRIgARIgARIgARIgAQiIkDPyIgwsRAJkAAJkED1EHBh9aqfcGzPQ/Gv45Mx9s7zkIYNsv7fbk/3Klh6xcvqsYe9RCuBSMRIywPRE67dAvc++j5e+XAXFn61HF2795ChOU1YdWni4OrVq40AOX/+fOzbtw+tW7c2YdgDBw5Ew4YNAxBZfQZc5AkJkAAJkAAJkAAJkAAJkICPAMVIHwoekAAJkAAJ1DSBgtw9OLb3oXBlrcXUF0agefoOJGh4NiQ8m56ONT09Ud1/SeKkW3xrC5CKbTmNMfQ/r8OV3gRffrMKyWmBQqJngJ7Q7X37cjBv3jwjQv7+++9ISkrC8ccfb3bE7tq1a6ksLFHSei21AguQAAmQAAmQAAmQAAmQQB0hQDGyjkw0h0kCJEAC0U7ALbsh33vHtXh67LN4dfxQ9Ds8CanurZ4Na1RpohgZ7VNYo/aVJEYawxxxyHY3xiff5mHUdTNw+Q0X46FxEyRLQ6s9HpJa7ocfvjMC5BdfLEJ+fj4OOOAA4wXZv39/pKWlaREmEiABEiABEiABEiABEiCBChCgGFkBeKxKAiRAAiRQWQRcWPD5p/jXgAG4+fyWuO6i45GC7eLPJrtn21KZvMxKVadsDfMw5giouB0Yfu1EoQT956AJ7pFw7effy8a0WR9h0MDB2L59F2bPno1Zs2Zhw4a/jeg4YMBAsxbkfvvtVyKbUPdkqGslNsJMEiABEiABEiABEiABEqhDBChG1qHJ5lBJgARIIFoJFOTuwhGHHYCUwi2Y8cr5qBe3EXHIE2dI3bTG6xJZ1rUiKUZG63RXk13+nbI94mAcNFy7yJ2M7QXN8K9LX8NeZGLIsBH45vtfzNqR3bp1MwLkccf1QWJisrGTwmI1TRe7IQESIAESIAESIAESqDMEKEbWmanmQEmABEig+gmEEnKsa9arWnX5Badh+lsf4J2JZ+DwDm4kObbLVRWTXIzOVkBMlUPALeHYDqd4RzbCN6tduOn+D9C0Q0+ces5lGDx0CFq2aFn6/UaRu3Lmgq2QAAmQAAmQAAmQAAnUWQK6UBITCZAACZAACVQJgcAwWU8X1jXPqwvzZn+ItyZ9gGsvaouuHZMR79hrPCIdFCKrZE7qdKMOFbcLZXf2vei+fxpGnLw/Fn7yNeqnJ6BVi+Z1Gg0HTwIkQAIkQAIkQAIkQALVRYCekdVFmv2QAAmQQB0jYPd8DDf0LRvX4sjD90PnVkV484mg8OxwlXidBCpIwIRrI0lWJG2JC255DctWuvDNyt/QovX+FWyZ1UmABEiABEiABEiABEiABEojQM/I0ggxnwRIgARIoFwELA/I8JVduPXGy5C3swgP3DYCqXFZ4hWZbTzXTB0Nh7VCYsM3whwSKDMB9Y7UzZGSXDvw0OjzkSbLko4673QUFeaXuS1WIAESIAESIAESIAESIAESKBsBipFl48XSJEACJEACERJQz8hQyXPVhdcnvYj3Js/FAzd3wUGtCzw7Z9vr6L413r1rQrXDayRQUQIJIn63bbgbd17fFcsWrMQLzz0tTcpapaFvXdOdZpWQXVGTWJ8ESIAESIAESIAESIAEYp4Aw7Rjfoo5QBIgARKIDgJW2LZLpJwNa1fhqMMOxom9MvDMvachDevhRJHfKzI6TKYVMU7ArXedOx7Zjta48cHpmDpnJ75ftQLtO3UNK4RbQiR18hi/OTg8EiABEiABEiABEiCBKiNAMbLK0LJhEiABEiCBcAROHXwkVn+1HNMmjUCHhnuR6NgBh6o8ssEIHCLz2D0kwzXC6yRQCQRUkMxHJrbkNMGw4RPRZP/OmLPgB8TFJ3pap/pYCZTZBAmQAAmQAAmQAAmQAAn4CTBM28+CRyRAAiRAAlVOoBCPjL0Hn81ejv+O6YO2jfJMeLbunG2ESO2fQmSVzwI78BPQe0/Xj2yUshsP3H40vl26Cv99cIwUKPQX4hEJkAAJkAAJkAAJkAAJkEClEaAYWWko2RAJkAAJkEBpBH5f9SMeH3s/zh6Wib5HdZD9jHfA6cgLrKaeaJY3WmAOz0igSgg43PlIcmfJPdkJZ52ciUceegSLPp/n6Ytrl1YJczZKAiRAAiRAAiRAAiRQdwkwTLvuzj1HTgIkQAJVTsBaJ1I3BdGdio86rD3yt2/GB69ejJbpG40YCQmTDUiWEMlF+QKw8KTqCeShITbnNMeQc18EMurhm5UbkJScKh3771H/PV319rAHEiABEiABEiABEiABEohFAv7frmNxdBwTCZAACZBANRCQEGsNs7aSzbPRIes/enbVduH/HroLv63cjAduORrN0ndIaGyO1AjxNRTWE83bj619q0u+kkBZCXjuy8BaJlw7eRv+b/TR2LhmN0bfcq146cp9ZwnkUlzvaSYSIAESIAESIAESIAESIIHyEwjxFFj+xliTBEiABEiABIIJqHjz9bIFePTBR3D5f9rjBCs8GwXBRXlOAtVGwBLK7aKkU+7JZMdOuUfb4ZIR7fHy+Fcwd/q0arOJHZEACZAACZAACZAACZBAXSDAMO26MMscIwmQAAlUJQGb15jpJshxLDc3Gyf0PgCOXRsw+fkR4hWZhUTshtm0JhK7tH1vm7bDSGqyDAmUSCBUyLVnd+162FPUHKeNehl/bAV+WbsT9Rtk+toKVc+XyQMSIAESIAESIAESIAESIIESCdAzskQ8zCQBEiABEqgYgUJcc8X5+POXDXjs/qFokrbXhGdHLERWrHPWJoESCfhCrm2h1w6H2+yuneHchicf+hfiiiD38Hmy5mmub6N3X70SW2cmCZAACZAACZAACZAACZBAKAIUI0NR4TUSIAESIIHICVhrPFqvtprzZ3+IdydNxXUXHohDOtVDomOPrBJZcni2ej8GOFv6PC1dkXtT2mzgIQmUSsBtu+PcRYiTn0TswoFtk3Hrld3w0ZQZePm5J2S9yFJbYgESIAESIAESIAESIAESIIFSCDBMuxRAzCYBEiABEigPARc2b/oHRx/WBge3BCY+eSnqOzeIGJlVamOWLFRc97E2yeHf0UqFyAIVIOC9z9xOFELCtR1tMOq6F/D1amD5j3+iVet20jbvwQoAZlUSIAESIAESIAESIIE6ToC/TdfxG4DDJwESIIHyEnCL95h9F20VES0hUa/ffMMV2LsTuP+2U1AvbiPiHPsi6iqEg6W3nn5l+b+2Avsr3rSu62ffnMR37HVvC67vdrigP5EnLVuW8sEtB9f3nBezS6r5uQa3UdJ5cPsllQ2RJ2Ic9MeXvPZ5593H05fvPQgeQHC+7zwC+2SugvsJPvc1V8aD8PPtvc/kRoyTHd/T3Btld+1TEa/h2pefj8KC3DL25C0eMZfyNc9aJBAJAf9tGMH7zzQYablIemeZiAn4JyriKhEVrKp2I+qchUiABEiABEjAT8D+lOG/yiMSIAESIAESKIVA8Lp5dhHxjUnP48PJ03Hfzb1xQJtks2GNhr6aVE2xrmqf3UbfsT0kt5QxqvAVXvzyilaltBE+O3R9O8fwdWsux+JovVapJcI/uJ/g86rs34EiJDh2o0PzRDw4+nh8MmMhXnjmsarskm2TAAmQAAmQAAmQAAmQQMwTYJh2zE8xB0gCJEACVUNARbpiwpB4XWzetAmHH9QCRx8EvPTYhUjBRiS698qO2OJho0JkGcTAKrE8rA3qAaQp9N/p1KFEk4qFFUmV1Y7PhpIaDDVWq7w1ziBvUCvbjDOoviXMeubdms/yESl2/wR07Bud3y20fN3YGor0MOg+EO/QfEcqctEM19/9GqZ9Dnz7y6/o2Gn/4ve/dFFsXJF2y3IkUBEC4d4/FWlT6lZRsxW0itUjJaDz5/voDDiJtAWWIwESIAESIIGqIUAxsmq4slUSIAESqHsEzINOAU4d1Be/fL0EM149B20a7hUhcp+INiVvWlNtsERYcjucElzt8Zq0xDWrfz2P8z66uXxPcCJPmrF5wtJ9l60Q5iAxz2or3Ks2pckRrr6vgKdcqf+WUD6kMFZCee2rlGyPOV6OeiKB1PKv1+vVkxvZv0FCp2lG4Zq2tQkVhWWmjEEqfOq16khBYqR06XYnoMCRgvVZ9TBo5BS07nwI5n3+FeLiU3wGhWTty+UBCVQxgYjeuGW3oYqaLbshrFEuAjp/vo/OgJNyNcdKJEACJEACJFBpBEK7f1Ra82yIBEiABEgg1gno8415YJUnnsfG3oMv5izB/40ZgJYN3IiHCJHlEaoqG5oKX2qnCJFF7mTZmCQNBe50ec0I+Cly1JO9vjM8P7Z8FaJcSJAWbF+bxtPTEq5M8xH9o5YYa8LW1z5s/UTUqq2Qb0KkH++4bbkyV1LAg8N+2Xfss893xXZg41iAZOGULEKd2GoJq7aipR6qh6zdPqf0rEKkyMHKWgKkzavOWUn2ltpPmQuE4O8uRII7B80aFOHB2/vi28U/4dGx9wW0LPK2943guWybhoByPCGBKiFQ4hu3/D1WUbPlNyhWalbwA6L06vrdpH92s6WAE9t1HpIACZAACZBADRCgZ2QNQGeXJEACJBBLBPShyCEPPb+u+gn9eh+Kk49JwtgxIyQ8W3bPxt6oClstFIHx0y//wu7cBBG9PE9m+q+OwUrW85p1Tc8TkI0Tj2qP9OQC8dRTL72yi5BW+6W+WsJepH3YDdXG7ecq7qknqHj2FSEJDnHxjHdlez1VrTFELny6RSRVoVAF26Xfb8CatX/gnKE9kBafF8hERcayhuNLnSJXMvIcmfjm+1/w159/4F8n90NqQo7Ik9J+FKR8pMuWNi1wz2Pv46WpuzBv4afo3ed4sUwFWa+B3hso6DQKrKcJJEACUUMg4g+I0J/TEVePmgHTEBIgARIgARIIJEAxMpAHz0iABEiABMpBoKgwB70O3w952/7BzNf+jeZpO43o5XQWFm+tip+irB2xfWHQlgXSbzZa4bgz38HqjR7tSB/zLCkulH5m5Wsw7pIPBqBjExEj1dMzUqHQ6jui19APnaVWtXhaBS01Vc7VN1VFyHzUw9Lv/sHaNavxnzOOQIJrlyrIZUvST5EjSYTIevh9UxyGnjcNudnAijkno2nGbr9Iq/aoEKmejqUke2izCp35jsb4ZWM9nD3iVeTnAF/MHYHm6TvMBkjWMEtvtZROS80Ongfp0XhxeniqN+juopYYcO4rKEjMxI+//iPbbieLwGtZaN1RpXbEAiRQcwSs27Xq31A1N8ZY6pnzFUuzybGQAAmQAAkIAf7GzNuABEiABEigggRcGPvAHfjjx39w3y0D0Cg1R3zn9iKkEFnBniKqrp6FlndhUAWXM1E2IoH5KZJiKclAqvyk6asojvqjx9Z5uvc8Xa7F60O7T3AKajhKT13iU1iIVIx7aipGXbUEv6zZI2HqiWW2VkXNQkca8tyNZd3EDFxywzRsESFSWRZKCHuxZA+/Lpbpv+AQ+0zbEjafgyZYl5WOS258FVtEiMwV3hpO7y6Hvf4eKuHI8vCUMTnEIvX2TY/bicfuPwOb12bhgXtvswmRldAfmyCB6iJAIbK6SLMfEiABEiABEiCBIALxQec8JQESIAESIIHICKinhngILv9yKcY99ASuOq8xBhzZTPzwtspSVZIZ7s9dVfwAHLZ5yVBPPE365TfomESMf/gm8XPbIZKYKGu+pC1Ybiiei/EilSUiyPsvuCOrive65fVnvfoE0rBeleGA+QwT3mYQtgtyGGyHL9dlhL58Can++keYQOd8R7qEWcvoA+p4PAHVM1GTleUbjgi7RUIp29EUy1buxK0Pimfp3xAPSQiTEMlqIDhLw9s16RqQ3mSt4ZkjHpGLVuzF6Idex2/StpZItAzwlvU3G+y5aLVWSa+WkG11aL1aoqR0Ey/3yxEHNMb5p6Xifw89jT4nDMWJ/QaENsAah7edoNPQdXiVBKqAgO+zSNuW+3HRokUoKJB3sngx699ZAvKD+rf+DmPWcDV51vswqCBPK52Arv2rc6OpT58+iI/3PL4FzBc/WCqdOxskARIgARKoWgIUI6uWL1snARIggZgmUJC7D9deei72bwNc/p/+4oO3VYS9PNHMVHmxno6iD0GcmJTkzkeqYwPSXJvF63FvoJHGfnnYtglQKpG5HfGis6bIyDzjU085p8hyumamPZnwaIdseONWzz+XlCkSLp7duDXPrOEo+XqsIqA+6Dsc+aatOJX53Cr16TXpR8VAh9ZOMsfW+ol6btWHu0j0hALpo8Bnj+YVysqdugajOBpKqLYKiBkyO5mSs0e8V3PF7hBh9NqxN5mNZMTzMSsnBeOem4zXpxUgV4daSdOrIc87cjPx6ISpeO29PORI20ar9OH0C5eWTdHwqnOQ7NiOm688DQu+ehOXnH8qln29Ck2ayxuBiQSikECAcCXv+wfuvQsP3jdWPgs8b2frnVZJb+0oJFB7TbI+DvXT+rqbrsbDjzwpR/K9Yb6nvOOyvqvs12rvkGk5CZAACZBAHSBAMbIOTDKHSAIkQAJVQUB3Zb7lhkvx509/44NXz0Cj9HwRw0TgEg84t0hnDrc+1kryvnhO5F+f55n1iOXLKd9BBdszHifFbFQhVb1R5F/bw12hhAzno5FZOzHOnYc4RzYSVch0y7itNuSgSDaMyXU3hMuRjDgRFtXz0uHcK0wKzW7e+Y4M5Ej++k178Nffm9C2dQu0adFMBK5dSHZvl/Ly2KntydjUE0nDlXPRTC44RYLcZq6rN+Hfm/Zi3fqN6NSxNVo2jBOBMUvyd0upIvlPN5pJl9DqRmKLhjyrIFlP9jdvLfnK3rPBkByYZJlvP1f7d+U1wskj3sCfm2TNSMk8vqd45/Q9EXc98qm3qMgY1lxblUO9Wh6R3vnSKvvyUzHkvCn4U9bw1L3Kj+npFC/DYXh03EfCwJY80+G54JtvW355DrVNTcUGbt2XljzjKWb/V+/xOEcu6qXk4LEHTscZF76HB+67BU9NmGwr5m3HGrc3J7g7WwUekkCVEfDt9i434LuTX8cjD45Fz87AbVechOS4PT6vSOuut94FdoOsPL0WKt9elseVR8Atn4ZF8oelcc/Ow1OPjkfH/Q7EZZdf6e3AOysRrNFbeRaxJRIgARIgARKoOAGKkRVnyBZIgARIoA4ScGHRgnl47aXJuO78FujSKVnCareKriP+dyK++B58a4SM9Zhsf3QOY4gIWy6x1wpRLlZKHtyNDmb+EZFVPCMnvvE+nng2F4mins2dMRzNRIRVL0Nfcom/oayv+Mo7i/HokxvQUJZUnDv9ZBGuEqWtVOwpzMST4mU47aMC7N7neahXS9NTgbNPTcT1l52O9Ph9Zm1ClRB13ccffvoLZ14yA/XqA5/PuhaT334Vr769Cxu3+0WBVs2Be28/Eicc0UrmYp/Ui8ezz7+JJ18T0U/aVyFxytQfMFN+GouT5defDfWZHO7ALYphbr4LG0WIbFQPGHV+d1w4/AR8svA7m1ho8Q7XSrjrsmFNfj42ihDZWNq+7PwDce7wszB/4c8+b62QNaNBzZNQe/WG1fUju+3fDFfJe+DR597F4KFnYfCw08Rs/noVcu54sWYJyH27etVPuPaKC3FIR2Di45eidf1d8vmlbyr9FBIvbiP2u8znov/TSd/jkeVb5fjq4VVeDg7xhneLx7sm9XJXMfLgJy7Av696BTdfcw06tm+FAYP+ZfL5DwmQAAmQAAnURgL8bbk2zhptJgESIIEaJrAnayv+c+5QdN0fuOYCCc92bxZxKk+s0gcwb7JEI58nm1e0CrtmolWxjK/F2rPZEKYptUSXtXRrKLU8ims4cujksdnpXTBNNclBg4fhkeemYq9EUs/4/Hf8Z1hbEaV2e6rLWNWTUT0S35m9wYiAp/eTjXJSUkVWLMBfmwpxyc2v45c/Pest7t8e6NAWWLMO+E1+nnsrH198ORnPPzECHRpqGWnXreHW4kkpPYjOifvGf4qpb+1CmizYeKDw3yaC5MYdUl8Ew1E3fInnHjoUg4/rLGHbeWjYIAnt2+Th980ia4pOXC8daNMAaCJipBmSmSMPL0uQ9YWcy2DjpI10507cLk44Z5xxqowjRcSKTUJLPD09I/b8q40pHJ3rYvNhL6jMPUz1qnpk3XWlE2ecORwZyflCaL20rdJpUAroLCivvKdWm8H3p/0etret49Nk1ZPDeAmt13v/+osHYvG3k3D5xWfj+5Xr0KBxK8n1cNUqJln1rXNbO9YlvpJApROw7ju53zZv2oBhg/siXj67nrr/X2hTf5sR1PU+Nku6Wh8K8hqnrsvmfR30qm+AkvLD1eP10DzDcdEPezMfHklY1y1umu7Ci+OGY/ilkzFy+On4YdUGNGvestJvGTZIAiRAAiRAAtVBgGJkdVBmHyRAAiQQYwRuvOFq5O4uwoOPnm8EJV2DsJj4EsVj1ufz3flx+P0f3SglUUQlFchUPPK/qmeKQ0Os5UG9Yf14ZKZ41oZs2igdvY8EZi8F3p/9NUYMO8h4rpjwdCNEJuO3NVvx468eAEOHHmcOCtAQDz7yEn7+E8gUofGRu4fh2CM6GEGrUIKrl67YhFvHvIMf/wDGPv0ext9zqgi8OdK2huglmDUfd2cBr721EiPOaIGbrzgd9dMkT8TKRd+uxcU3voc8ERxffH0FBvQ9QsaVj+HnnI4h5+yHERc/gK9/BoYM6ooHbhwmUul6Ga0olKWkOPHMyUgtwiXnnSTiRJbQ2W12z1YPWL/UpswiT/KIbXRLDX9PT3HgspEDxANoi4xSxexCkTo862V6Wizetk1bibzTqiop90e82JsgXO4fcyHOvHAiLr/8QvFAnVNVPbJdEignARcuvWA4dqzfgefGDcZB7ZLE126zfMbpe0x/5J0l//uWpdA3qia+Vg8H7UU/3CzeGnZt1oHUJSH0OF++JeSPV00bYuyYY3HRLQtx3tmD8NHMBUhJl78wMZEACZAACZBALSNAMbKWTRjNJQESIIHqIhC44YG/1++//x6vT5qKvj0cOLBDExGRxC3PeMT5y1TLUWmqVDGPN79Vun7iZ18X4fgzXhT7wyf9klSfyf/e0VlEx/1F4JO11WTjkjNPPhSzlq7AV98D/2zZi05NZG1IWUPQs05jJj6aPcOIde1bA0d0ay8P/Ln4/Ku/MH+JJ4D34TGD0b9XQyS51sizp2xxI+HfJxyaiicfGoBzLp+Hj+bl4IIz16NXl4aSryGTnudUFQB7dRHvyBtPk813tiJewrFVRD2xR3MR9Q7FhJdXYIWIjtt2u9Aywy2275UH2CwkSH3PWPZKoPhmWZdykxFZpbIv+TwirStSR92lVCQ0AoUJGfRLkFaxABHa5vXozy9+pE3rpju6rqgEgpsCnv5DtR9Y39QNvFSxswht9okEIe4r3TioY6tMHHZIAj6cNh9Ll36J3r17B9pV6YYHNs+zOkagtM8/C4e571y48/Zb8dnsJRhzeRucdKR89ri3mc8Wy5PZvMeN6GU17G3AOuX9axGtmtdgvtaGNPpNYuZAdzxXQTILfY9oiSfvPxbX3LEQl118Ll6bPFNsKv2zs2oMZ6skQAIkQAIkUD4C/OYqHzfWIgESIIGYJ+DzkAkaaffu3XH2OYPxw0o3/vxrkwhwsquziGlmsxXfA1RQpSg8tUy1fO/0OTw4aQSdPTlEuNL1GPse0w2NMsWfSCrPmLsUuiGN7pDtcifJjtCZ+HjOXiNynjbsEBEMc4UP8OHs5cb3r0N74OjeRwgv2UnbkWg8Dc1O2dJ2t25d0aad7HotD5/zFnyDAtlAxuy27TVOv7TPObULUp1bhPoO82Cqr4my6c0B7TNNn7rKWNYecZEUETPO7LCdI16NnkdVp1gQL2HQCbLxTmk7aUsD4qWjayOKdOvd3dtckrZUqLa4mXJl+Ufqa9I2NPxd2w9li7eYp3C0/ivCpGc9twT8tX4rVvxUgH+deiKOOELml4kEooTAG5Oex+NjH8U5pzTGpSP6ikfkVvPHE91oLCDph2KoD8KAQjypNgLWXFif/xoe78gRITlLluLogCv+0xwfTpmD++66WUzSP7F5ktmUzTrhKwmQAAmQAAlEKQF6RkbpxERulvU4GKwrh7seecssGXsErIf7IH0l9gbKEVUZActb8qkJk9DlkxYY8/AbeP3REUhMFs9A9aDTnk3Yn7xaN1qknmdltdpqP1y9EvrVL7/jZOfme0dfYB7s4sU7zxIedZkuFWLNA52j0OyG3aSBhHJ7t4FRT8aUhHycMrAVXp+yQbwgN+GC8xpKuLVuGpOAJd/+jQ1bJPxbPpZPG9RTuGRJUHMq/li/y4iRiRnp+Hj+Tya0V8OwVSY0fYuwlS8PmolpTaSdrbKOZLaIm2lGCHTIApf6qa5DbtM8UwTOHI+Apw+pRlV1oYWE71lenkVFste5NKpSX1mTtaajw/IAtBowPD3fLZZQbX2mWEWKvVr2Wa9awGuSYew/LVa1qi9YtocjZN3rxeyw3Ve6PqgKyblFGbjtgVdRlOTEeHlvxMfx16ti3Hihcgl470N9n1vvx1Ad/LrqZ9xyw5U48kDIEg0nIzVum+ezWj+n9X0ZnMznie1iiCK2XB5WJQFrLqxXb1/qhZ/i2oSbLh2ENRumYNyDj8sfsg7DqWeONN9bJd0PVWku2yYBEiABEiCBshDgb8tlocWyJEACJFDHCVgPOZkNGuPl1z/E2SefjImTv8B1F4i3jaz7Fy8bm5gU5Q+wal79JBcOaBknXkKFIu6Jp6BTREF56Ctuugpw6l2oD+9yKCKACq9nDD0ab09512xG89MfWTisY7KEUyfjwzkLjY/KsT1EOGzqCUN2IQ1/rxfdUATKH37ci59/nGbCpoP/jFQk7eeLSpYsrxulvGctN331J12zUvtXnzzLXm3H4fR4OemxR0gLbt3fRrUc2QVI+8O097olBgbbUpx/cInqOdf7QUCW2JkKkTlogidemIHlPwJvvj8FTZrL5jUlVyuxTWaSQFkIWJ/Joeqs/WMVBp7QA/VlrYkJjwxHZuIO80cV44kcLW+0UIbzWokEdP4SnIXyB6rteGj0eVj9x4u48Lz/oF37jjispy4PEWpyPX9IYjh3iWiZSQIkQAIkUI0EKEZWI+yq6Srcw2bwdf4SUjX8a1eroX49rV0joLXRQ8CJgYOG4Pqbr8RT455Fr17Z6HNImohke0M+BhlxxroBLY87m4dZpY4rgvb1E1LNcbjzEOeUTWpUPixBQDKbmqq9WkYqarhzl/2aousBwHe/yUY2c77BoVcejZzcIsz5dLsJfjzjlINEqtpuhEMVDPLypKo00bUz0G3/dLOeY6hPau1CPRyb1Nf1KndLd36RUS5LaLP+q5/pGkLtT7rhjpVUjNRkXr2FQjlBWeXtr8U8Iu2ZQcf2/oOyxDzNlZ/gefbaVryuZ0xWO8XzrZzKeS21fUuItIuqQV0XuFMw/8stmPDmNowYdbqEaJ8uJWRWS6mtvQoAAEAASURBVG08qCGekkCZCQR/egQ2UFRUhFHnnYbCHbl4/PGT0KaRCFiy0ZgzYIOowDo8q10E1Fu/afIWvDTudJx79Xs4bdhxso7xn/IHkXYhBlLy/RKiAi+RAAmQAAmQQJUSoBhZpXjZOAmQAAnEMgEn7rxnLD6ZPxc33TkNM974N5qnqciWK1pMoaXb1QyAYAEshBWqMTmc4gnpttYsDHpYs4tQKi559D3TUpysoZjs3InTh7XFt4+tw8y5f+DWK4dh/sJPsVecQ+ulA/2PPUxY/CMP/7pRC9C2DbBLhMuDRMS86/aLkCxCpT5MqoiooqFLf5yJsjt2mtQR4cCxA07x2AwlbJVH6/JoayFqesfp8aZUKPLjKRyCmv9SEC1/RgWPbJgr2FIlVQ/BQteJLHSkYF9RQzzw2Ido1LYennj6JemwqqhU0ljYTEwS8L13faMrxLlnDcV3y1Zh/P1Hos9hTZCgO9Y75C8iTDFDQL+HnI4sdGreCBOfHIHTRr2JU4f1xWeLVyIxKUXGGfrzqPj9EjNIOBASIAESIIFaRCD0t1QtGgBNjZSATjWnO1Jata2cPrxH3QN8bYNIe8tFICE5DRNefAsbs4CxT30oIautxO8m2bQVIHvZT1QojEAsLJdBWimgbfW2KyWZBRttn4/WG8oSoVSc06Quib7DAnm434mhJx0l6wMCf8sakV+v2oePPvnRfNKePKA5UhOL5FiESPFgVHGxY9s0kbCAlT9tMWJtoqwlmeLd2VpD3FNkl+548dT8SDbEeW/W1/j5l79EE7TZZYwo2z/qkaktWEMI+TnhHacv3NMad9m6Kl7ammeLZ/ESQVfU0oqNN6jB8p1GYK/e49loirHjp+E3Cad/5fUPkPL/7F0HnBS1F/72KlzjKEevSq/SpAhiAakiVYp0RFGxoICgooCi/BUrIGIBFCkqTUERUUFARUGqIiJIL0cvB9d3/+9lJrOzs7u3e8dVLvlx7EwmeUm+ZDLJl5e8CFJlNTk/xJhCq0uFQMYRMN5dXcRbUyfj22Xf4bGhN+Ke1tWEwZogGxu1Uu66QoD6WD4ZmDXoa5ZNxDsTm2HPtoMYMrA3FdP7t8/aXq4rTFRhFAIKAYWAQiDPIJALRv15BiuVUYWAQkAhoBCwIMDGE+rc1BhjnhuNBSuu4Jv1/xEZGU0UXDBNkXL6E+N9MsZPUoihS3IUQbytGBIcJZx/oGv+I78rjuJIsBenTdlFkOIII3KQDl8jgtBmSxXbr4tEBeLO26IEKku/2YyfNkEQjt07Nde2Z+sTQj7jsU3LOgihkPsPACtXb6L0CxBOoRQiEKlkVTsZkfj38CWMn7gF41/cjA0bNhH/STkl4zWenT/4ckntgjDlqysJtF2c6icJUaKOXORKxtLFM2M3XPfcBjidRFtpgWcqbWlOT5vwVuqM5ShzYmn557oqhDUbD+KTJZfw+KgH0KzF7ZSAduZo5qSkpCgE/EOAtdyczo6136/Ci+Mn4M6mwIjBd9L5s6ZzIp0B1dV1g4D2LSpgP427mlfEUw9Wx4rPVuLlCWOphNzruzvXNuP+XPkoBBQCCgGFgEIgOxBQ27SzA+UsTUMONLxMSuUYVdfmMbLizd8IoC7yEgKyejV7u4byFhUhne0iLxVa5TVbEfC2rUtqWIx5bjJ+/vlnjHt5HRrW7oMKRSKJlLtMNJvso0zZldp+LhqMpueZduml/ZN8OiESR88F4vvNpxBsj6M3xcv2RdaGJDIwmM7CrFTSgWoVyZK1nYzd0PY4thrO2x57dGyK1T98h0VLdyCQilunEnBTjRiSedgoSQDpjHZtUx1LlmzChp3AC69vQHBwMDrcUZcwihek5PZ/zmDsCyuIAAWiaYdd924dBKFpD3CeBWkI9POCjdzYiDoLJ6PcXBNbdp3A3pOhdM5YFMpEB1Ae+UxKvY6Y1GBC0oXc8DMhSzAmWJlc/WLlZqxcd5LSIM3Zp+9AuZhA0SsZaVri5Y5bajdG2yRs+CxOHRNBHDsicPwcyJL8etRpWhvPvziVUDb3uxqemk5q7iiRysX1i4Dsg7mEB/b9gz7dO6ByKeDtSf0RHXCMDG/FiwUUZ5u+frHItyWj/oq/dsG0ZXtE/5tx/Oh+vDzxdVSr3RDde/SiJ85voRj+Z+LCU77FXBVcIaAQUAgoBK4ZAUVGXjOESoBCQCGgELj+EeAJrzdCUit9MGZ8sBCN61TAMy8uxHtTByMqMIUmwmR8xSB2ch4ncRYjZYM/fn/9lYJHHl8grpks8+QkycQajcNoTjf2ic7CLgvTg4wJb6tudXMlItmICDitTfl6dixN+o7nqexEWOqCWTOSz4h88Zn2GPLkKhw8DtIm/RHvlv4RlW8A9vxLW71jQaQkEE6Ze/OVtihVpADJINaLtCaZ2iOdTOECSN9QEBBs3Vt3bOQmmM6+5Hxykpwe+/HZnUFEdtarEYE1v8bhyKFUdO72Dtn2Bn5ffSeKReoC/PyhIzZJi5MpuUSBG+Pg2SBGAFGcgdh34CTW/qLlKS6eS+cNaS0DrE/J+eX6MWTbmDrOCWciafXkU2nDa7wtBmMmzkYsHU2wmizKhxaIFGQkB9GIITHdz4kMqzTzIQJav+zAxQvn6JzIdihIze+NF3uheMRl6g9oscFTc8ykRYd8CHfuLTL1y8F0eESAIxaTxvTFP4c/xrB+fXFjpXK4qWGL3JtvlTOFgEJAIaAQyLcIOJfK8i0Eeb3gXIXpqEYelPIfzwfTnhNSAOVyOwLmrTZiQkJtQdPG0dqFrO7cXg6Vv7yBgEa0eM9r2bLl6fzIufjuN+DjJVuJPouCw0ZtUdeENNork5PZQFA62Jozp63/cfpMovGx/szBhdFfKP0x8cVEH/8xAWb+k8/YT+sydYJK1yxheWEBZ9GrvY1KCxSiQF3b1UOI4yxtsU4WBC5505vJJNtl1CgfhFVk6OfBnjYUoQwcIVJy7UbgBBGRnBYdQYnF77dC25sjKT+stciajUwoXhb55TwH0YTTZmei0dmJ04ZzKssFcVonn9jJJESgI0kQhaGOC3hoYBt0uRMoSgXmdNj9d/Aw/W+pH19akcRsiLI4LgtCk7EMdpARHiZGXepU6BAKTDk/HC7QRhpaPhwTrVwODs/xQm1cjqwmI7lO9Xrl/LmUg5oPY8JkvEAzEjPm/YIfthBh/O6bqFjxBo5hqgm+I0zFH1/r8bXLTPvfeJcyTaISlFcR0PplOwb1vxd/bz+M6S+1Qv0buL+Jo3Yp27apfXNBfb3neRWMfJ5v7ocDbQkICzyHD6b2p3MkgS4dWyH25HHjW8RfDf7jPkT1I/m8wajiKwQUAgqBHEbARh8i5iuUu14RkLVLIw+uamPy6pzDXq8lV+UiBEzV74qH1weuwdSdQiD9CKTgoWED8NXChfji3fZoUCVUkGpM2ok+SCfx0i83AzHkdnAZlUimJESQ3l0pjSiV/gZx5JywM4lq1ihibb1Q0mwUJB+VhQlCdmxVmc99ZLmJKEaSUohIO0FllkSAkYgzvKMAkmyRdI5iUTJ8cxUHSU0yulAkypUujKJRpHtnP0vb7Si+rvnIeeGzF6/SOZZMlIXbY7Xneh5YMOeBz7Xk3wCekNIdb9njX3YpRB1eJY2++NRwHDt+AUULBaFkpNSconJbCDgRSf/PXG9MyLH0FEchIY/vuLwhjjgXGU5c6MxIKifnMIzDMS5uxKUzNT5XUpTDFkr8HxEqZE2cSVlZDpkX+euMeS1Xst6ZRPTsRB3T9uy/DtvQcdCXaNCyGVau+hEBgZzPa/ugZm5ZPOdf+V7PCNjx1tRJeH70RIx5uDoe71dfvGu8aCDISPW9v54r30PZ7OI7wGc37ziQjL4Pf42SlSth3cYdCCYtbuUUAgoBhYBCQCGQWxBQZGRuqQmVD4WAQkAhkGcRkGSOVoArcZfQtH5FxIRcxKfvDkfRkGNEkdF249zgbGRUxRFKJCJvaHZ1TD4Kw9qu3uKOyUfeds3aji5kGhGeTBY69QBZwzJBJyvFKpCmhiJlyvBkCCeV8mIX+dDILG1bdRKdSZmgGa7RCUJJAPIWYdbgC6at4TbKh+YYez4ZkvLA5WISlckxyqvYJk7hKTP0jE7vFAZzWP+TNaipPESw8vbv9DotP5R/qlX3/OjS9HIyzqzXyU6kZ962L8liExHKJKadsGEbsVwOzidvA8/SMya9kTVsOIixpH9MkP53tgiGjPwYR8/bsH3PcRQtVpwIdi2feqnVj0IgSxEwE9d8ze/fqm9Wom/XLuh+RwCmThiAcNqm620xJEszp4TnCgS07oy/SfwlKoaV64/h0Wd/RrsebfHJom9zRR5VJhQCCgGFgEJAIcAIKDIyH7QD8+A1HxRXFVEhoBDIdgRcyUgmuzZtXIMOt92FwT3LYMJjd5CmzjHyJU0d0nYjBkcjebJBMT9d/R/P4oh4ktvK09IW9AyxXdf+5E3d5LRZoSZT8/H8vwdSzhzQuxiJuxeNPu8RdfEe4gsiU0Y054KrjbTr+bl01rDWe2/hpL8sNx9EqbcFkYaoBArExoPIX/gFUBnN7cVbWlJ2en5lcU1FE9FF/rjVBuMKWQR/8pVvcPJycdhDYlC+UnWUL1/e+CtXrhzKli0rjBL5k7Qblv5EUmEUAhYEdm3/DR3aNEWtCsDcNwahcHAs0fkZW2SwiFa3eRQBc3eWaosgg2jFMWfxFjz/xt8Y/cIoPDfhFSqZPKwjjxZSZVshoBBQCCgErgsEFBl5XVQjFcI8+kijTDIYT+pcJpVpxFGPFAIKAYVA2ghYSC3R0SRj3JiRmDl1BpZ90BZNaoUj1MHbbencQCvpk7Zw309lx2aVayGs3IJJMsykmScT47BWcUJLzkyIycDefoUQliJT9hZQ8/dKUOnl8PpcFytTMfItyy9/OSemvt98zSKs90a2DYF6QvLHJFd6iV+3jMinlnYivbkejDrgMCZy1VsaMm4W/4pt47ZorPrlGB6f8Cvu6tYL9Rs2xeEjx3D48GGcPn1a4MbZsAUGoGTJkqhQTiMpmaCUhGV0dLQzp4wPtyMmW5VTCGQQgROxx9GyUWXgUjy+/KQ3biyeQLT5BW3RhzWilcsfCHjtb/nLox0jchUl8eyrK/DJ8vOYv+xTdOpyX/7ARpVSIaAQUAgoBHI1AoqMzNXVk47MpTEY4W08v278CakpCSRQs2wbICbhlkmf38nJePLX74h6QBlP/qr46UNA4sa/XLva9svmt7RCUFCQO6GQPuEqtEIgAwhobdEgkfT+KCExAa1b1sTlowdosjwYpcLPObdrG+RTBpKzRkmz/3MGdgvmhYx0C+cU4f0qvaRZesN7T9n5hGQyochEl8fFprTS9PTMFxCe4nBuvMbT24mNNEc5n9KlRUbKMDnwy9vRk+jctVPxJdC5/4cIKFwKP285iAIFnFv8ExMTceTIEUFMHjpyWPwePXxE+PEz6SIiIlChQgVBThpkZYXyKFWqFAIDdU1aGVj9KgR8IJCaEo9OHW7Dzl9+x8JpHdCoehgt9tAZsX4YifIhWj3OawjIrjSNtY0kRzQu2svgobHvY8M2YN1vW1Cjdn0qqWnhJ6+VW+VXIaAQUAgoBPI8AoqMzPNV6LsAz40bhdenvE4r5tqwg4cekjrwHVuFyM0IcF2yGQ2e8j4+6km8+trruTm7Km/5CAGpZffvnm24rVkD3NkkCm8/dzeiAk/omjtZZyHZ29zMzd/Nw98Ksvag+oTOC7kppHJaniaLTOix1W92XglamR6lI8LrGfckTwgyhRf32n+yTkxe/l1mFCeOl5YGoE+5nsvhX6YzHkrLlnYO6FWUw+CnF2LNryn4fsM6NG7ayoNg93wy1qdOnRLkJGtQaoTlUXF/9uxpQwYvIJUuXVojKYmsZG1KqVHJBKZy+ReBtN7XJ0cMwOwZ8/Dq+Ea4r10Vsjx/WjvPlkYE2mtHVDr3FcrlPwSs/Sp9l/h8YjatFhsXjXuGzMdlRwg2b/8PhYuVccMnrXbnFlh5KAQUAgoBhYBC4BoQUGTkNYCX+6PSweYrl+Herj1QrTTwzJM9EByUJIgAOXXK/WVQOUwLAZ4uJ9GZQONf+gL7TwCz532IPv2GphVFPVMIZDMCdsyc/jaefvRJvPlsbfTuWEvX4JFGXjI/O9a5mJECTc7FREt6eA2oB+DJPJNp8lfGc1vOsZCR+hmILF7QARxfGEMxBLhepEViipCyx/aPjHSQkRhNM5IM21D+XbQk3crimhXjzhzOB05uaTiF6FdSgPFAu2BvD2SlU56p3JaoWXnL2WJjQawVuWLtAQx79g/8b9obeGjE4/REr2uXDKQvn1evXjVISiYq5d+xY8eQmpoq6ozF89Zu1qaU5KTc8s1bwV3q1CUv6ub6RsCOeXM/wEODh+PR+0pg7CPtyWDNCQTZrlCxtfdMvm2Kiry+W4LX0skGoJ+5y6bDuJ9l42zxKIq/joWj28D5qFq/Or75fjNCC4SRKE/9mtcU1AOFgEJAIaAQUAhkCgKKjMwUGHOfEJ7Mbf/jF7S5rQUqFAWWfDgYxcNpsGpjbSS7GnbkvirLcI6SEY4zcaEY+Ohs7D4OrP11B+rUqivkOSf1mnh5L8eqarKSYdiv24iyjXAB+ZqdN+KDzLUQ2WbDUdqmevbsWcTExKBIkSIoWJCtPpudHd07t8SOn3/Bog+HoEbJKyjgOEuaO6TTS32STZJx5ijqWiHgLwLeOjRv/ha51mDc7hNtMfjnRAR6DJ2PWk1vxpIVGxAY5NyebRGRoVvzu8YC7HY7Tpw4YZCTTo3Kw7hw4YLxHoaEhAhjOZKclL9sQMf93fOcNWvaHMqTn+fY1+6bnWlde26zRoIvDDw937zpJ3RpdxtqVQLmvzUAhULYcjYdweMgi/O8gKCcQkBHwEEa91qboMUSahrcz/EiSyKdgfvD76cwbMx6dOjZBXPmfUHPgrSFMxf00rfI4hJV3SgEFAIKAYWAQsAPBBQZ6QdIeS+IHbEnj6N5o6pIOh+PxR/1Rr0KCQi1n6HFT23apYasea9WveU4lU7hS7EVwu4jNtw9aCnCi0dj/a87UaJkOW9RdP0JMT71GkY9UAj4QkCSOJt+/RXPPPOMETw0NBSFCxcW5GShQoXAf5FhgXhvxssoGXkF4x68EzeUSEKx6BSEEiHJ/ZGnibchUF0oBNJCQDZE64fNm79FljmYNPhwBaXR7/G5+GMv6JzIP1Gpci1LrOy9vXTpkiAp5fmUUpvy+PHjgsTk3PA7VLx4ccNojlmjkhcKcotT73pGasKO//b/i+YNqyMmFFj4/gBUiblI/SeN65RTCHhCwFjk08hIDsLn4KbSmb3xKIE5y/Zi/KvbMH7KOIx6+iV6atWOVGSkJ1iVn0JAIaAQUAhkHgKKjMw8LDNHEs+KxLlhtL2OLzMgNTEhDp3vboNN32/Cey83xD23VTJZsZWDC/lrHXxkIEEVJUcR4MGlXehGFMPK9SfogPINaHBLXaxe+wcCg4NE3tTkL0er6LpPPD4+ER06dKByav0KtzcmJPmPt52mpKQgKTGeWmoyQmyXEYYTqFk2FUN71EGF4qS9YfR7aUNlJo3SDqme5gsEvDaIjH/fUkjTPB4xmLt4C5594x98tuJztO/UneDM/m+lud82X8u6ZT9+v3h7tyQn5S+TlrwdnMOwY41J83mUZm1K1rTMCucpz1mRTl6V6RUfD+36StwF3NGyMWL378OS9+9BrQo2+upfog24TiNJeRUHle/sQoD3MnA/Roa5bGFIdBTHxDeWYtbiK2Rh+3Pc00Xr5zw0v+zKoEpHIaAQUAgoBPIZAoqMzG0VzqOAayIj7ejf5x58uWglHh96I8YMvZkm/rFkYZEmZ3bNkrZW5IxP1nIbZCo/GgIpjghctZXAtLnr8Or7h/HY2Mfx4itT6aFGSCqcFAJWBLxOhq0B/bgfNWoMdu3agaSkpDRD8+T5/Kl9eHHMvbil2mU67+wonXdGx0fQOYe+nJok+UIonz332iAy8H1jLaKAQFx1FMHve5LRb/gKdBnQA9Pe/zxHtr+m993k8OzMW3XPnTtnkJRMTvLfoUOHEBsba5CUHJ7PoJTkJP9KjUrWblYuBxDgquT65DP/hLNjYJ+7aVz3DaZNvh3dby9Kx1ycpMVqu0t964HVj0LAMwK86if6CdKOpHEhLRmCNcAHj/4EG7fbsX7T76heu7GIy01Qtj7PwpSvQkAhoBBQCCgErh0BRUZeO4a5SIIdH8+djUcGD8O9rYGpL/RHROAZWj2P81vzKBcVRmXFDwR4wMiOB41ie6GjAK4GlMbDzy7C8h/j8ekXn6BLj/4ijPpPIZAVCFy5coVIyF1YtGgRduzYkWYSNWvWxMgnRuDuDm1I/+wYlr0/CMULxNK0KJ40fJJp8k0tmg29sPaGmg2liaV66AmBDJCQuhjuP5PJJvH5pBLo9sAnOHYhCJt3/IcYOu7C3M+K4MIYEfW6eXS2npiYiKNHj+oWvp0GdJisTEig8wd1x9a8zeSkJCzZ+jdbAc9Kl14yNivzkrOy7Zj21usYN3IMRg6Iwejh7RDmOEULOHE5my2Vet5GgBZfHLYAWhqMxqm4KPR9aB5OJoTg122H6XiVEl7KlvH+1YtA5a0QUAgoBBQC+RwBRUZeRw3g140/oH3r1qhbCVg04z4UK3gOwY54WjmnSb5y1yUCbpNkKmUiiuB4XAx6DpmN/XSc1PcbfkHDRk3oibbNUE3yrsumkG2FiouLw86dOwXxuH37duzbt0+cWcfkBG/H9uT42fDhw9GlSxcEBgbirz934pab6mFot0J4/sl7UNARixBaNNH4R57wKDLSE47KzxcCGZ8s8/bsq2S0Zvz/FuOj5YlYsmoF2rbjowe0I1M4ZYN79NTx+spaHnjO34bTp08LbUrWoJTalLz1+8wZ59mE/A6XKlXKICrZ4rckKiMjI6+ppOr75Arfwk8/wPDBD+B2Ulh7/+U+KBJ6VmzNtsFzX+saW90pBDwgYOq/+MzxZERh58EU9Hl4JSrWqoFvv/8NwQU8vccZ71895EJ5KQQUAgoBhYBCgBTmeOSnXJ5HgCf3bVvVQxTNlr6Y3Qs3xiTSOZFkfZM2Y4ht32xlUVV1nq9ntwIY9eocJAqDNo5I7D9dAB0GfAZHWBh+37YnTYM2bnKVR75BwNfk//Lly4J4ZAJSko8ch8+Zq1GjGurXr4969eqjVq1a6Nu3r7Cqbf6sVKlSBZMmTRJbQc2gvvrSWEwe/z/MnHIHutxKFrjpOAnedsjOsAIqjqwwx1LXCoFrR0AOephcFG1VGHSIwcbddvR5cDmeem4kxr3wGi3kBerPNRpS+58j6XkwPK49T/5K8PW+SjnWcNZ7Gc7fXz5/kslJJiZZq5LJSnmdnKwteHIavLWbt3lLglJu+eat4AEB2oKYtzRlHuWvt3D5xX/79q1o07Ih6pYny9nvDkXhkFO0wHxRo8ctfaPCLL+0ClM5ffVD3p5LwzbUhsxnjm/ccQkDH/kWnfp2wofzVpgSUpcKAYWAQkAhoBDIGgQUGZk1uGar1MSEy7i9RUP8u+1ffD6rLZrUCtcM1tjiszUfKrGcRoCJHF37kX7ZWuKqTZcw9Mnv0PzOxljx7UYEBmWNoYKcLrlKP+MIWCexbLWXt1vLv/379wtCho3R8DbrevXqCQKyRo0aCA4O1BPW2t2bb76Jr776SvixNuSDDz6Irl27Cm1Icw45TYc9UfRbx//djdXz+qB0IbIMi6uaJrdpsmSOp64VApmBgHmO7nAEI9lWECevFEaXIQtgiyqJLdv3wRYUbiRlDi883TyMoNl2YX1vryXha5HFcU+ePGmcTSkN6PDvhQsXjGwFBwejbNmyxnmUUpOSycowWjDL785aB7Enj6BJ/aoIom3zn83sLAzWhNDW7ACHto3eGj6/45cvy++rH/J2nISH76s03LXgq50YM2UXxr/yLEaNnUCwZu1xDPmy3lShFQIKAYWAQsBAQJGRBhS59cKp8SZzaB2E9ru3A1Z+sQoTn6yNIWSdNtx2ilReU0jLyLmNx9eYRcpWv3kMAR5UWjQkZAl4cJnoiMEbH32P12bHYsiIYXhr2nv02LN2irVdSTnqN/sR4LpgZzZG4S0X11JvHJfJR6n1yJqPBw4cEORjgQIFhLbjTTfdJAhIJh99nRO3ceNGPPfcc0IL8q233nLThnQtgx1HjxxEgxo3ojVtQZzx8gPUYo/Qdu1LrsHUnUIggwgY7wZpkItrD3KSaItiPMrgqYkfY/lPydiweQtq1K5P4cnKuzDzzpE895kexCkvEwKsVW0mJ6Vm5fHjx4UVcBm0SJEihialPKOSNStjYmJ89oFGHUthpl/5TP6aHvl9mVZcb8+s/tZ7a+LyuRynpdJxF21vr4+/fvkTH89oh5Z1oxBqO0OtMNnQHrfKUPcKgWtBQJw5LpYDS2DKzLWYMe8oWdieh05d+uWoJvi1lEnFVQgoBBQCCoHcj4AiI3N9HbmTkc4sp2Dm9Dfx9KNjMLhrIUwa3ZO2OvJk3v1gcznIzYFdZc7sqqvMR8DDCrdMhAeXdgdZS7SVxFOTV2Lh1+fw1sw3cP/wkTKI+s2HCLC2EpOP27ZtE9qPBw8eNMjH2rVrg8lH/qtWrZpP8tEMH0+o2ZjNjz/+iI4dO7ppQ5rDmq8XzJ2Ohwc/ipfHNsDAzlXIhEgsTbpT1aTbDJK6zjAC3C6J0RLxzd8/3p6YSv1noq0E5n+9H2Mm/4F350xD30EjTGml9f01BVOX6UIgNTUVx44dM7Z9S8KSyUomMKVjbWyzBqW8Zg1LfmZ2ktAz++W1ax6n8SLy+HGj8M6Ut/Hq2Dro27kujetO09f8Sl4rjspvHkSAF2eu2CrggVHvYf12YOOW7ahSvQ4RkrzwnQcLpLKsEFAIKAQUArkaAUVG5nD1SJJQZiM93/pli+dhUJ8BaF4X+OSNASgUcposZ9M2RySROKXJITHNt780eGRriTy4PJ9UDL2HzcGOIzS43LwDtWpTo1EuVyOQWZNrJh9Z41H+8Vlv7AoWLIg6deoIrUdJPvKZbv5oY3oFTnZo/nZkYvadjIF9uuG7ZSvx3YJuqFoqGcG8HZGta+saol7TUw/yNwLpbW8mtFLpa5mCSBy5GIEO9y1EtUZNsWL1egoR7Awl2qd2K5PiO3+bt1OQuvIXAe6vuI8yn0vJZCVvBRfEMuNP5HKJEiU8bvkuWrSov0l5DJdZ/a5H4X54vjf9NYyiBeaB3YrjlVHtyLjXCWGwJsBG538rpxDIYgS0fjEcp65Go/fD83E2MQy/btmLwsXKiPdPjA9kZ6g6wiyuDSVeIaAQUAhc/wgoMjKH61h+02U2/Pu227Fr+2YyWNMUN5QE5r49GOUKnaENFud0Mc6zA6Vc9Zt/EXAatAlB1/u/QOGy5bF2w3YUjCicf0G5jkt+9uxZ47xHJiB5Is+Oyce6desamo9sWIat4maqkx2afx2Ztv2LCMcz506jcZ2SqFHSQYYa7qft2scQ4iANby9HEGRqnpWwvItAetubLCkt1CTZIkjXrAz6Df8Qf58Eft1xjIx80QfVvJDH8vW2LJNiEf42bw6rXOYgkJSUJAhK7s/kdm95HR/vPB87PDzcjaRkjcoyZcqkS9M7c3KdthST0i4FtOPPHVvRqmlj1CwPzJs+GKUizOO6tGWppwqBDCFgGEF0xmat8UQUxe6TEeg55FOUq1oZP9KRAQGBvFCjFB2cSKkrhYBCQCGgELhWBBQZea0I5kD8yxdicfstNyH+9Eksnd0bFYrGky7HZbF6ngPZUUnmdgRYQ5JaSDyKYf2uSxhA1hLbdG2N+V+sye05zxf586SJ48nPGxhMPsot10w+skYRx4+IiBCaj/LMx6pVq/q0Zustjezw//7bJejWvgfGPFwTI/vVQRhO0tm3tLCiCMnsgD9vpkF9m3Be2ojDQdv9xRZtOYEm67F0FiRsvIegJN78dAdefXcPvlqzHLe1vtuEgQxv8lKXuRaB06dPuxCUkqRkf+4L2bHWd+nSpcW2bzaaY7b4HRUV5bFs6emHzQIuXrwoNNFbtWpl9k7z+sjBf9Hm9kZwxF3Csg974sbiCWJrNtNCivxOEzr10IqAj37RGpyJcM05+70UOhwgCdFYuzkW94/egG4DemPG+/Oo71QGbdzxUz4KAYWAQkAhkFEEFBmZUeRyJJ4dqSlJ6ND6Zuz6dRfmv9cdzao56GDz0zRYlYOJHMmYSjS3I0DzsRRbOE3AS2DWwo14cdoBjHlhDJ6bMJkma4HXtjU3t5c9j+fPOiHmCTZbupbbrvnsNXZMPkrNR7Z4Xbly5VxNPrpXC5+V9iRmTp2Grz5qjwZVQtQiiztIyseMgM9Jt/5dtJEGsCCl6BtKewiSUQhb/01C1wdWoeegfpj+3hySypNs+R11TsrNyanrvIMA95uJiYlCM9ysSclEJS/YsKaldExGyvMozb+lSpXKUB+6a9cuPPbYY+D4bNCrZs2aMikPv9q47pbG1XBw92F8OqMLWtQMEOM6bo/atlj6gHvQYPMgTHkpBLTzHRkHL4s0EiLn2MK932PtSDupOCTQmHHR6qNk4OtnvPbOZAx7dCxF5wVuEi8FqV+FgEJAIaAQUAhkEAFFRmYQuOyKxh98dtpHPwVDB92HxR9/jslP3ogh3RshxHbe88Hm/k7S1JYLDeDr7X/XhiMmMkw68kScDdo8OHY+Vv6UipVrvrJoBF1vQOT98pw6dcogHpmEZEu07CIjIwX5yMQjaz8y+ahpgeVcmZ3Nzn1y4ztXdiQmXEXT+uURlnIei2bdj+IFT1CLvWBENeT77N+MKOoiPyLA7UNMxN3bYSJp+5xNKoteD8zCuZRwbP3rBEJCw8S7o1nQ9jTFdpeTH2HNqjIzKcLOn/7LSaBkPDcsg8+glBqU/Cv/zp8/bwgOCgoS27vNBKW8DgsLM8JZLxYvXowZM2YY3qwhOWzYMCHL8DQuUvDQsEFY8OF8zJhUH11bkxEvxwUE2nSDNWYS0nxtxFcXCgEvCBgfTC/PyVu8T5JWNLo+7u+YcOSTm8OIkCyOCa8vxZxlV/D511+hTbuOFM/m1/vqPWX1RCGgEFAIKAQUAjT2ow+R/FwpPHIhAlw52vjAjkWffoD7+w/H4B7F8fKTbWmIcIyGCmx1NsU95z4n62py5Q7adeQj32pjcOksm5yMD35iFnb9B2z4YzdurFyNAihtICdKOXfFk2QmHXnrNVu9PnHihMgMa+8w8SjJxxtuuCHXTAbEhIYmys5ml9H+xY79/2xHk5saonf7Ynh5dHvq59iAQ7Lo5wz5Pvu3nKs/lXIuQMAgIzkvzom13cGLMaSt9vpqLFxxCmt+XoebGrU0ZdhbH5jR9mwSrS7zBAJxcXEet3yzNiVbAZeODeXwVm9JTsrf4sWL49VXX8WqVauM/pm3iHMf2b17dwwcOFBosUs5U14ah5fHT8Gjg27E2Aeaav2dg4x3cbv18P2W8dSvQsAnAsYH00dIt3DO/s5B6g6pjgK4ZC+JwaM/xoZtwHfrfkSjprf7EKoeKwQUAgoBhYBCwDcCioz0jVGWhnCIiRKPOb1Ngjh5O374/jv06dIet9QA3ps6AIWDzyIk4DI9olGEj60YWVoAJTxXIyBJInMmpbXE/2JD0WnwUkSQ0Yb1v+5EVHSMmvuYgaJrT/hZgvh9600Wk4285VpuvY6NjRUyCxUqZGy7Zs3HSpUqGZNbb7L8zkyuCqiRRc4spWD6W//DsyOfwwdTmqDjrRVIO/IcTYmcRiqcYdN75ZxkpTemCp/7EHCbQ1uyyO8JOxuRQamOEDp9rwhWrN2PB5/dhqcnPY1x41+ip+oMNAGS+i9NBJiI5L5aalDKX7b8zQSmdKGhoXRJJz3SFnE+FIC1PW16Q+VrNiQ2ePBgdO3aFWvWrEbPzh3RriEw67XBiAg4hWDbJfoOy35KSvX2K8Np40fnd0H3l4s2cnxpGSu6n6lqTcdVvvWp13tfL6bXiJ4feBfHZ8A6CGM6hsGj1mgG869nw8BT4mjCz3gmwmrpsCYhO8khu4YRj67tP0s+Ml2+p9xRmg4bn1wahVNxRdBlwMc4kQBs2XUIpcuUM8YknqI6/a6tHpxy1JVCQCGgEFAIXG8IKDIyh2vUHzLy9MlDuPmmKihWMBlL3r8PJSIukKXZKzQI4NVz5RQCGUMgATH4dnMChj75LVq0aYovV/1MgjQNDn+2y2UsVRWLt1lbyUfGOzo62tB6ZO3HihUr+jnQz8uYep6kpKSkoHun5tjz+2Z8+cl9qFg0ThCSYlLPE0KPE09/cPCcnj8xVZi8iwCTBGyM4fiVIuh838coU702vv7hDwQGheTdQqmcZzsC3sifCxcuuGhTLlv2JZKTk4nE0fobSUaaM1wgNBBHD/2DxHNHseKj3tTHXRZH7rAWuHB+9XHe+jOdpCOdcs3pi90mMk3z9xZfj2aQomktlsuwpl/v7KEpkP+X3sVlUf6tWbOQgNbHmvY1LV5ayEj3cL59vLUxEdNHPtKM6zvpNEIwrU4GbRyR+PuIDfcOX47osmWxgRaxC0YUTiOefOSrnmQ49asQUAgoBBQC+Q0BRUbm8hpPSEhCu9vr4eife7Dog66oXd5GK+fnaIhJH3eyFGoswebycqjs5SIE9EkOW0uMtxXF+/M3YeL0Qxj/ygSMHjueMprOiUcuKlpuyYp5UsDb+yT5yNqPbICGXeHChQ3ykTUfK1So4JZ9sxy3h9eZh7WsvAhTt0ZF3Eza4HNfvQ+Fgti6dgp1efqxFObJuo9J2nUGlSpOOhBggsBOppCuoAyGjl2IDTtTsHnbbpSrSA1LOYVABhGw9ldmMXfeeSfsdknA8BPrN9UuiMdQnMWNxa7gsf71USEmyTiOwj28Lt2NlZNp6PId+j1psnlybtHNgcz9qdnf03WagjxFsPjJ+BIXN5LUEt7nrQUHH+GdpKGM5yMCPU6rvr3FdsbR0nGm6y2GF3+Jl1S59BLMp3d66tgqjLRPHXben1AMP22/hEGP0yJ2uxb4bNla8NmqyikEFAIKAYWAQiAjCKgvSEZQy+I4zgFMCnr3aIvtm/bgkzdaomb5YGGwxuZgK5DXOirJ4kIo8bkTAdNgNJA23hR0nMWwvrfiz33LMHHcBNSoXhWduvTJnXnPwVw530nfmWDLrXLLNZOQZ8+eFROZYsWKGWc+1q9fX5w35ktaftJQtZY1pmQ5vDXzEwzrMwBffL0V93WuS9qRZxFko0UY3n6rb8E1MLzmCa0hSV3kFQT8mKTzOZGJtmgsW70Dq9enYNrc94iI5DNylVMIpB8B+S0w91fSj6XxYpOZiGSiJjXVIb4B/LxwdBgS487gxIEd6NG+Dnq2vwWlCpHBGqLL/d+ezZI8OO4T+RtPzpwnDyHdvaz9qXuIXOkjyhlAZc6C/JsxNNe3v0A447iTw1K2/PVXpqdwfsu4FoxI+cFG+pEhtgtoUb8Enh5RGRPf2oiJ45/Ei6+8QdlS00lPdaP8FAIKAYWAQiBtBNTXI218cuSpHMBMeek5rP16HZ4YUhG3Ny2PUEcsDQbIkIM+2MyRzKlE8zYCpsEoT3x4S1gBssg+eXRXHD40D0P79cX6LfVQtVoN1c5MNZ3WO8dnhknykX/PnTsnJoJMPrLGo/wrS9ua/HHeJhbe/P2RmfvDSA0V86QtAL1634dVXy7AhDe+RY0atdC4SgSCHB7OjjQRkbw10iY1JXN/wVUOrwUBP9bkUhCOf08UwMTXd6Jzj9vJgMjQa0lRxc3nCHj6Fpj92AAZn+XNflHRhVCzZk1UrVoV1apVQ+XKlTH9jUl4e8pKjHmoOh7pWw8FcFpoSTqJSFMfaCXb3dq7KSyPCwPktuxAnZOkhRuTc4vuVZNS749lP2pE1P29aF6akkr70iov7dBpPtWwZ4EMlqfviHt0J9aWZ0Z5NTlCNuNqGjdZYrjeWuK7PKRnQh7L4m+UGMfzryZeu3eJ4bwx8HJ6aVcyn7IdpF1+HkOwc0/LSzw+X0DE0Y/vobN3Ax20iI1Y3H9vcxw5GYc3/zcNTZo0oUXs+7QsefhfS9X5wGtxnEHUlUJAIaAQUAjkEwTUNu1cWdF2rPl2BXre3QWdbg3AWxMHIyrwOEJwySW31zc54VJUdZOFCGgGbSIRGxeNNn3nIbx4Sfz8224/zwLKwozlsGhvA3cmH1njUW69Pn/+vMhpTEyMIB6ltesyZcpkqATqvXaFjbdr337LTSgRdgFfzKS+MOA4Am0JtDCjb9c2BXee0SYnZ6aH6jJfISCswJIu7fmk4uj18Kc4cj4QO/eeoH6tKOGg2ke+agzZWNhjx47h4H8HBPlYrHiMKWU7Fn46B8MH3Y+erUMw5bn+xrjOa58vWZx0sDfc7u2OYKTagomaCxFLjqZMuFwGsHwixuz0PvBhBgFkxTvAlkiLlIla/2qQazKaF9JKPs7hX80gD20n1rX0bEy2mhaqfGbPKK8sJ0gXMJS+NOEiahBprzI2Xp2H+CKs9DdF5Prho3LYaXKdZ8B7bQ+m+NolnQ1KsR02vc7pOApRdgdjkEp1SWQnnZYbTASiLYC+lzoZ6SaG6l5z1n7Rmz8IhWhctpXHgBEz8fMO4PsN69C4aUsSY5VByVoSTEdztsRUtwoBhYBCQCFwvSGgyMhcWKN///kH7rq1ESoUAxbO6IsS4RfFiVfKYE0urKzrIUs0UHbQEDveVgwbdlzC0Me/Q4sOt+HTL9Y4zwKSo8l8OIo8cOCAQTyy5iMbK2BXokQJse2at1zXrVsXpUuXznBr8H/ykeEk8nBEO9Z+vwrd23XCg72KYNyITggjLfEgXDVNNF0nTfm4uebhes7crDOBcBUl8OrMVXhn3hksWbUcbdp1pETUhpDMRTr/SrP222n1O9u2/Iw7Wrag43aApe8PQuHg09q4jkgjr4SZm0DXfs4NefqWM3mWTJaPf/ptL84nhOuEl0YQuS7WEJGlf89Zk5xGABTzAm5rVg1RwWRMhxZ8iMnKc47JuFRHAZFvsWhF5wxntBx8xmOSowjW7zgPHgf07VgH4SGXSZxeD9b6sd5b0dNJSbZOneSIJrkXSe5+d7nWeGncy8VkJgcPn07FgaPnEXvyDEoWL4obKhZD2WLBKOA4SW0tzpnvNOT5+0hLN1wsYne9fz7OJQZj/aZd6ggMfwFU4RQCCgGFgEJAIKDIyFzVEOy4EncJzRtUxtVTZ7F07gBULX6JBohnvQ9Wc1X+VWZyGwLWyZLX/NEgOsUWTtORopi7eAuee+NfPDb2UedZQL4G2V4F560HjJckH7dt24Zdu3bh4sWLohClSpUSpCNvu2btR763Ok94e/KzxjPfpze8OW5evWaFDbFrLY0CPD1yKD54azbmTW+L2xtEooD9NGl7sOYHTwxdJ+n5pLmmgVY+fsSLKzTZj0cMft+TjL4PfYne99+H16d/mlFOIh+DqYpuRSCt/tlzv2PHxQvn0LJJdVw4dhafvX8v6ldKIoKIxnXS6dp7brLdBLr2czK68UttPwVh1PZLoG33T7CPdoyz/jhv3mZe0SrOfB9Mz9m2/PdftqeFcDawE5dhEo/EZL8jAyup9hAk0zjmt20HcfDAPvTr2oLKnoFyEI6C1LVF4L+TNnTstwyJtPa1fU0nxJBygLCOznVmBtBHiUXdUm6ccgPRoe8SJBHnu+27jigewWQhC3TdWu9NrDTMxcTzzn1X8No7a/DzFmeWOB7XebMGwPjRbVC9QjgRkpcoB2lodnpLzOIv26md2OwkWsT+81gUug78BGWqlsdPv/6F0AIRlhjqViGgEFAIKAQUAp4RUCoCnnHJUl/5IbcmkpqShCH97sXx/Wfx0dQWuLHEVTofjQdScgDKAw1thdtYmbUKUfcKARMC7mcDmR6aL2nUyoPUgkR8D+jZDIdOXqFzraahavVq6DfwETeiyFsbNovMC9dcjv3794szH+W5j5cvXxZZZ7KxefPmhsVr1oT0VW5PeHvySwub9IZPS1ZeeeaNiJR48xRt0itvYePP6/D05NVYPb8/YgoUEG2WtxfaaCJq3oKWBxV68kpV5ap8yvZhzhQTkawZdfZKCB4esxglbyyJV6bO1MgYet/z4/tlxkddXxsCabUf2e9wu2THYRMTrqJdm5Y4RuO6D6c0Q71KZNvdMq6TOTJkez3L0bIFlpPRExWXNFbkLdcpdBJlKvkz7cTHO0YRy8hko10PK7ZnW+5ZcggJCbClaBybLAz5S+f2vklNPyLQbHSeoLkP5jhu4aUg0zOXMBpszjIZ76scA8vyu9+n6oaqpryzGLMXAfd2D8O9jjAUtBGLaCxWmTKgX5rrSnjxYgZ9WZjkO3yhCAY9+SFOkYhQepjiCNHKJEH3gJF7CpqPjbZSU++DBEckjlwsioEk9zQRkSyXCUowacrthmVacICOsyaJ/hf1HEz1G4XNf11Cn+E/IoE4zCgS06guUI42aRw5DmzaBqzfCnQasAafzLwbzWtG0ZmP167cINtpALGyTFrXLB2CaZOaY+jYXzCof298unApAoN0rDx93K3lMwqmLhQCCgGFgEIgvyGgyMgcqHH5IXdN2o4xIx/Ct1+uwbOP1MKdTcrR8OQEDQz9WyV1laXuFAJ+IsADRTlxoilMIE9jaLA6+qHO2L7jPYy4fwQaNGyOWrXrkUA5EaCxsKcBpp9JphXMZWKSVkA/nnmSxX779u0zznxkzUdJPvI265YtWxrkY/HixY1U3CYsxhN1kZUImNtZSIFwvD1zPtq2aIbXpi/DpFHdyKjXSbLuSWdt6W04K/OiZOc+BMztQ+YuiUiJJFtxvDlrKY7RiQq/b1hDmjramW+ewst46lchkFkIcDvTvhl2PDvmMezesgcTnrwJdzWvmPXjOibTWEuQCsOcT4tbymHW/4YSPXlWkGGs1mcT+7PJwjczX/p9AFFbfPRFCC7Tl971fHKJi6f3R3xnyZq1w86LQq7snHEvSUtmRnnxiDk3ItREXHMcQcY5ZRjx9bGHOA+R44sMSUKSbkhGqiOIRi9h+GMnSDOUd3oUgT2AWFhJfIk47v/JNFjLj89eTCYZqSiETbti8fRLS7HnKOjURe1wB1YGEOFJplveKYxMylkC8uS6oPLz+ZAptDWb5Y6ZvAz/HDHLTcdUjHBjxwTmhfhwjHp+Oa5SZZNtJLz7yhBUKRtCZ38m0POC2H0wHiNGz8WBY8CoCSvw7Sf3IrhAIBGSnC8TfkJixv7jRewCAadxZ/MKGPnAObz67td4pdazeG7Ca27tIWMpqFgKAYWAQkAhcD0jkI4v4PUMQ06XzY7XXnkZs6bPxZAuYRh+X2NaxY6lYQ+tNltWdK33OZ1zlX4eR8BC4vAgmg9Tjw48humTu6Pnw0twb5c7sWnLP4iMNh/G73kwfq1oyInBtcrh+CzLThMkK/kYF0caCOTYunWrVq0M8pGtX3tzmZkvb2kof18IBKBhg8b435uv4amHRqNZsxO4+5ZCFImnnh4mVjzJtbRvz7NFX+mq57keAYPsIBIiIApf/ngYHy+7gtHPPo5q1WtS9p0LKaIsHlmDXF9KlcE8hICNGLd3Z7yD96bNwdAuBTC0Rx0a153yOK5zK5Yg7dx8nR4e2q8LAUYhucWzH2thhuM4UWzESLGv0LrUSEHzPRsE08ac/KsbUzHSkf2r5T0iQktyiV6/kYIc5XTpe0yEIZNgvMjOY1m3OERqas6UHiXgIIMsIj6NTjh+IGlvGn05RxDkKpeAiD9dhEYG0zM/STeNiIzE2cRoItS+w/ylsUimbOj8qZYt0/9ueeekTM/lJRORySC5CVEk93sXuVIBVoYVv4IodPHxWIYUIiPXbT6EQydAZCAw9fl+qF4mmRaTyYOwZeK2fsUIvPr8Xej54Hd0liQtzGzfjzZNS1L9XnGbW3CKRnVbkjc0M3UszeHEnITO5eTzRh/t1xRHDvyLKROnolTZGzH0/gdIkqXNsGxPQFnTVPcKAYWAQkAhkC8QUGRkLqjmDevW4KXx49GyPvDsEz1I24csZwfQWqzHkUouyLDKwnWNAG9QCqCBZXmyBPrmxC60BWg5ena9C1+v+U1svZGF9zQYl8+u5VdqHMhfqyxv/hyOyce9e/eKbdds7Xrnzp24epW3aTnJxwYNGggCsmhRtqpLrxkRVllVFpGA+i/TEODt2PcPfxzffrMST72wBvUWdEfFGDoLi4wtcLt1cVYi0uWhurluEBCkM2kK6dZp9x1LwnOv/ISbb2uAZ59/5boppipI3kJgxfLP8PQTI9GCzux7jsZ1YbTAzFpkgrzJxqKwdewQx2WE2jTDaz6T1snDJMpxChlFYYoqhMYDbODGnHcmu9hqdzI9TaWzFZkKDHXQmYQ2WhwiGalCI5AM6NgKCi29YydP4ciRE7QIWBplS8cIeZoV6Xgab2jkJMtkjb9EWxTRaYHCCjQzZMlMp8aex5FjsahYsTxKFA0jYveKIFoDSDOew6YQ4ZeEYrQNWjsnM4nur6IU5StZEGXGWYncX7CzfB847SvJQejVdx7+0c/avKVxIG65rT0mvbZSi5OB/1lufBLLne+U2ygYt9zOcr9yl5gmUaeRtOK4JiK7d27dLM75rEjHV9erHEbar0foXtdqJfyDHPFoVPtGhJHR7itULXv2HkLrpmVpuz4bLHJ3aSbtHtzw4XYRTGnBdgKTnxmAw6fm4ImHHkLN6lXQrMWdRjjzhRp3mdFQ1woBhYBCIP8ioMjIHK77PXt2o0/P9rihBPD6C71QKOQiDSbopB8iVWgUZTjzSqThqS4UAlmGgJ3aYRya1SqMyaNrYPSU7XhixHBMe+9DStHDSncG8+FpQCqJQflrFc3+Mh6Tj//8849h7Zq3XUvysUKFCmjdujWkwZkiRYpYRYl7b+l4DKw8cwQB2RVq9R6IWbMXokGN0nh+6hLMmDIUhWxHaXIltXm4feqaNTKizLX1Xvqr37yLAJMKNDFnEuMKymLi1FlIopn29FlksCaIDlHz1F8Z2lKZ15flXQBVzjMLATlOO3TwPzz+yGCUjaJ2+FJ/RIZohkNsvMDs0gfp/ZSnNppWplxkUECZsO7P26DNjvtN13TNT+maCTqdnBNnrtK7NOsTWiR/j0gmOmzy96+7okSEpjEpCUkmIhNt0Zjz2Tq89PYZRBYAfv26I4oUZMKVtyVH4kJKKbw+axk+//I0Ll3R0rRhJyLDgF5dSuGpB+9CoeBzRNfx1nA+kzEIW3afQbdh3yGCeNB1q57FovkL8NGiAzh+RiumDX+gPI2XXxzXBm0aF6G4F8UZsW9QOm9/ksonLwpFyY+X7MFn9BdDXcCOtd0EGSxyYCUh6Z7HAExoJhJpeIKIyNJUb4MGVkS/3p2wZuOflEbaTsJtrRYtvUAkEMl5kuSWiiS5gyqiP8n9foO7XFbw9CjDSN7ZXzGRO6BrfbRsSEeVBKYizBGLIKHEoAXmsRELS01NRRIpknJLCw4KElvkfSRipOa8kO1U83HLI5HPvO0+2JGIiMDzeHPCfeg2eD7NbToQfn+hyo2VdVFSjr7d3ZmAulIIKAQUAgqBfIqAr29sPoUle4qdmHAZA/t0RMolB96b3RkViyfTau9lGifQyMHta589eVKpKAQYAW5+rAlRgCZPfTo3wuYdJzFn1hw0bdYI9w18ONNASi8RmJKSIshH1nhka9d//vkn4uNJY4MmE0w+tmnTxiAfCxcu7Hc+JbnpdwQVMNsRcNaRDUWLlcKsOQvR6+4++HTZb7i/Ry2aMKbQRIv+JBGZ7TlUCeYEAqwl5LDREh6dx/bepz/ih03ArHkzcWPlGi5h2CQvAABAAElEQVTZcbYfF291oxDIVASuXLmALp3uwMXYRCyafidKR7MGH22L5a3FOTCus/MZqgGFkcCajUw6khPkpLnUzFXak4nMIosq5PhUxnYdu+H59xcjntZ4vvvpT/TuWFOMT6WGIWsiJ6IIlq06w8vn6Ni6OAoUYI3GeKEJefB4Ch4Y8z7+/I/PNwRuuAGoWK4wDh8+jwOHgdkLTmDzbx/j/be6o3yRcHqLr9B7HEjnvYbRlUY8vjptMT5fcACBRChWrQqcIdsr/PdfLPDAk2vw3uSaaNuKjmGgYkVHR6N8ubPYR88SaGNRJBl0Lk1DgGK8HqE7T32AxITN1gQFpeCJhwvg3m5dERYWRNvJT5K254VrqzZihoNJe3Mkye3eneTSmY1BJFfTNpU5c/4yselPMwl0JKNqhQj6I2BEjV1EgJ2Q1iNzn8hGeH6l80pTqA6DyL92rcrUBpLoTEkiBT0lkiar6syjxytB6tIcho4FKF80CFMn3kHGf34Uu2p+/mUrwpldVk4hoBBQCCgEFAIWBBQZaQEkO28H9OmMf7cfxMwpt6D2DQVpLfo0DcgsWw31DHkaN2RnXlVa+QQBHqSy5gBNCnilm7dA8aD5pae74M/dc/DYg4+gLA1+W93WOlsAYfJxz549xrZr1nxMTCTNC5pUVaxYEe3atRPkY926dcVkJKOZYnmeJioZlafiZT4CctKoSbajXafuGPLoALz45idoUrccGlSJpMkybxOkSb9y+QYB0schGjoK2/ecxVsf/otOvdqhd7+hovzmd9q1/Tg1jPINUKqgWYiApvHFGoHDBvXFvr8O4ZVxzdC0Xkka152ghT0iiTyyTLIdavGlFm+6OSE5QCQNNXasYccSWc7lhALYdyKY3pJC9I2j7dD0rZPpaKHolvLNOyFKRjtQqGAy5TcZJYuGolXTYKz/JRnLv/kXXTu2pFB8HAZTjxwzBH8fuIRdezVL3d07NBHPHER+xttKYeKbH2L3f0QG0oaE115ogZY3VybDKamUp2D8vuMoRj37HXbsB16a/i1mPN9Zj8uStTJcuAh8uuAf9Cer2KMf7oFI2mrMW57X/3EIQ5/6gbQYadHh0924rVVzMtVyGkN6344evSuhz9DXsO1voHvb6njpqXa0wfsw1YG2Rd21D+C0nC6ISLoiRFw+2O92IuvOUfmYnjQxmc6g4sqlb7E8M98yXtGkCTqM5ALn6I/k6la5zeH4Wmi0yrq0PjTdazXINeycL2hat+RHlc6miXh7/PnUUnh1xnIRswJv5a5RhnCOJR7SS3v0lrY3f5knQ9OcSkdjRiZwWzQohRfHtsToiRswfNgAzJm3lMheNeWUkKlfhYBCQCGgENAQUF+GHGkJKXhr6mSsWr4OEx6viva33kBDHu08ISM7YsBId5YtJcZzdaEQyCwEuK2Z21kATQZ4FkN/rM3B24EKhQRg7vTe6PvoItLm7YDN2/5FTMkKmZUDQw6Tj7t37zbIx7/++ssgHytVqoSOHTsa5GOhQmy8JPNcWhOVzEtFSco8BAIx6ZVpWPv913jm5VWY/+4AFKOJNC/oKO3IzEM5V0si8oUn3ZdSitKkdxkiiwXi7ekfU5Zpbyk5fqfNpAH7We/ZTzmFQGYgsHz5cixevIq2BANd725LxM+fRMARYcRkDX9TyWVn+2O66pctJ9Cx+zv0HXc65pb07AhPvie703jlmUh079SM3h4mJOPRvWNz/PLLT9i8HThyKhVVYmgvti2O4vIpjwXw5epNvI8H1coCTeuXo7Iepi3Tofjp9wP4/mdNI3LCc13Q6uYoFKSz0PlkRzuh07ReCfxvcifc+9BKfPndFQztfhhNapHmnInU4gzWqw0889QQolEPiUVR3krdqmE5DO1fF+9+tBM7/gLOX6YtypF2MU4JxXk6G5N3dXB5LlFKJ5zbs8kvTUf1xLa0hSMZqYRCik7ueorn73iBdzqx1r50Qi6d2cjxuX44rxlxWmyWoDu9UpnsTaY+Md5RHONe/Ah/E+FLtYaXnumIsBD6PjqIxRVjPhkxc3+5vIFUsiDast2p/R0YQ2TkokUr0O3eFejatWu2tv/MLZmSphBQCCgEFAJZgYB5fJIV8vOBTDkYkCvc3orsDPfhe29jwrgJuPuOIAzsfjMN0k6SNg8NEMzOTA6Z/dW1QiBTEaB2KWYlevuVVjx5YEuOJ0680s3HB5QrGoxpk7uh9wNL0b1LW6z+aTsKhvIwN31Om4xpU6Hk5FT8/fffxpmPvO06KUl7FypXroxOnToZ5GNUFB3kpDuWoVx+RkBrr5HhUVj0+de4tUlTvPXRWjw/ooWYlPJTRUjmxfbB30m9L2IiwExOWItDzx007U2h7dmvzlyNPWQsePGKz1C0aIxLSDNp4ODpv+jb9A7OJaS6UQhkFAGtzXbp0hnt2t+GH1etw4/rt6FLy4KkpUjP7HQuYYD2zTIT5PIrxhqVZud/63SOK0V8E+nJ91I+X8s1R9Mbxt5kzITeOJeAFILuWaOvdYsaKF7oJ5wgLcUv12zByL616FEAvUW0nZrOjFy+6iDr2JHWZAxC7WfoSQLReUWwfPXvZEyGSMpKwK3NalEihykdwoJi8jsbQE8b1KuKShWBA4eA73/aiga1WTuSjc1pZWKSrk/nOqTZeIr8NeM5ImUykFOlPJ8VqYW8EJeIMhHcF1CmqSxmJ8YJFj/z89xwbYbeyI8kQak+tfGSXggZWN7SOMjcv3H5k0lPNM5RDpPe+ALLv6Mt2SR0SK8CuK1BNBkyOkNBGFnCWMjQsDb6XCMDXi5M+XINoclxkEouy+c65jN8V3zzC9gQ+l2tb8Xdd98torjk11WIulMIKAQUAgqBfIiAIiOztdLt2LzpZzw9chQaVgemvnA/wgMP03kymrXfbM2KSkwh4AcC2sBRHO0uNA3qVCqKZx+tRQZt/sK40Q/jrXfeJynu3YjLANqUDhONrPm4fftWof24e/ceofkYQNqYTD7ec889gnysU6cOIiPptHcvTg1ovQCTD72r126IMeOfx0vjJuHO5idwa4MiYlue3E6YDyG57ops7U/4PlXoGxXG6o17MXvREQwfORyt291DZddn6tcdCqpAuQ0Ba7vk/C1btgL169yAp8d/icoftqfjIwojOEAzYCPzn13fL34TmjQqiZfH9hBbZ2llUVtgpHeE8+7QyX62rRxIFrf5fMsA2krNZBVr0EUEX0THu0Iw64skrFz9Fx69ryG9d2wdOxS/b92H2NNEYxHbdXf7FjQ+oDMLaeEylWQdOHyZrGmDNBbpvMk1P1PoczTOTRBpSgziaft0wXDWYE7Gf0fjScM5lLYpa1vAOQznvXyZKHrLL5NETWORF5gC6Vzg0iULk5/mUpK5HEyncQxXl104u6aqLeJmVtppyTGeEUnIZ3imEHV7OTkaoya+j69/1CjGnp0KYdzj91CtkdKDoIituc2Me41MZ8KbNT+TaYHol61HMGHKelSsXAoLFi122aLNbY+dkf/MyIKSoRBQCCgEFAJ5EgF3FiFPFiMnM+26ou09JwGIPXmMrMu1QySNv15//h4UCT5GA7R41+Vr7wLUE4VAFiDgb/vVNCUK4iz63tMQv23fj9nT5qB61WoYPuJpt3zJQSaf76iRj9uF9iNf81ZsJh+rVKmCLl26GJqP4eHhbnKUh0LANwIBGDV2PNat+Qojn1+HpR8PxA1FeZuhc2LrW4YKkSMIuGnaaP2RmKoSUSLoBZrhWmkGm7CeHYZT8TGY8OZSVKweg8lT3qQi8HlsFm0hU8GsGmimR+pSIZBuBOR3zhkxAEGhYfjmu5/RsnFVPDB6Fb5e9CBKFmCKzrU/SqudOuVZr6yabPr326IxJ2LRS8OEXSGybl2tFNFUtstWYa73vE3ZxmdK0jEXdHY0n6HIJGL3u1sSGfkD/t4H/LP/JGrdGEXUYBS+WrVCyG/WyIYyxSOIJDwv4pEJexw6CtKcJCvcu4CtO9eJ5UrrSCMV/wpqjCchR47Qf2RJW3Os/6i54kUiKR+0xZnPsha+mpQgIlW5T+A7QaoysepBM1KTYvrfrb8xPbuWSwv+Rruw+HtKwtq3iTA6SewW3ggsESIEqEysfct1cuxSETzy9Gw6k1Mjcx/oFYZxj3UmQ4RnafcVWzmneC6yrbXilqLwMIrhEtdzWCZEj18phicnLUUo7bxf8e1PKBRd1CWwgY+Lr7pRCCgEFAIKgfyIgPz658eyZ3qZrYNL570diQkJdNZeZ1w5fRWfvNsVVcvaaCX5HA0O5Gdez47cS5PpuVMCFQLXhoA8+yiEBrYvj+2P8xc+IC3fsWjYqCkaN21JwgOEliNvtd6xY4cgH3kLtiQfq5I5zB49ehiaj2FhfLKWNplQg1MBhfovQwjwhCoAH3z8OepVr4pJb36Gdyd2R2BgPE2WaWJNE2yasWZIsoqUwwh4+B6yEQvWvmFLvqMnfoDDZ4C1K5YgMEg7MoKjKKcQyAkEtDFfAMpVvBGffrES97TrhMeemYU5rw0km3BJZGmYja/pWn5Z3FDl1msmQUNsF+ncQHpRPDhjnErvjegl9a6SCUnWZqxeuTxqVgN2/wN89e1G3PhIf1wiozhr1mpkZ49Ot1A/y9uoqZ8lsoqj0xqkcDWqhaFm1VK0PZiJsGShwcikok0n0HjLN2s+lopka+OJpI2pJ06xRa/O77LQ1NTk8f+cX42YdPrx+MF9yULXvHOKdEbgKw99i2uANO48kXKiPikxP+QKQzUk3icVmKYsLTZrlKY4oshIUSqGjpyNf4nYDaRHYx+ri2H31hNnZnIb4PEb/Zc1juuTv7a0Ff9yajE8MvZ9sbX/h43rUYHeBS6p0c6yJgdKqkJAIaAQUAjkUQQUGZlpFUcDLPGhd37tnQSLHY88dD9+Xbcd701uhOY1gnUiklYpvQ2UMi1fSpBCIAMIpKFBwAZtCgcdw/TJg3D3wLno36sTRjw5Hn/vPYS9e/cK8jEwMBBMPvbs2RP16tUDb7uW5KM1N873xPpE3SsE/EegVNlKGDdhEiaMfh5Lmu9Anw61SLPnLB2k7zQe4L80FTJbENAn9fIzKL+e8tcTicxbRBMdRfHpl7/h2/V2sqb+Iuo3aiY+pUY8I/MmDSLDT10oBDIHAXEGKYmSGrfOb1kAWtzWFm/NnIZHhjxKZ5p+jXEjOlPAE0TMaaRdxnLgSl8Z7417w3cVz++Z0C7U4puJIS3P+nvCZ/4JAoyHpqQlSQkEBpAhm071sW/vNqxacxXDHiqB1Rv+wAXa1BMdAbRpVYtoqKNUNk0Ga9+VLw9c3AvcVKUgHZ/Rlc5FP0ek4xWRJ5bP6afSKJiNTzFJFuqgbexkgVmSjK6llEVhwovypQ20pafpV0/fhIVGXJqCmElEE/FpCuFyydu/+c+n4zD8JzIoa4X9dFx9044iCZmWkaTXPOr1SKgmkUbkH//ZMOzxL3GKjHWHkyWiNyY2RIdbq9KSDZ+3SUQk170hVCSVrv98RqVyJiOCargMJkz9DD9vJUvnn8xC/YZNKR0tr853I11Jq8AKAYWAQkAhcJ0joMjILK9gO+Z+OAOL5i7EkJ4l0On2KrRCfYI+zzQg9eS8Dj48BVZ+CoHsR4C1zQJpy1fRgiF4fVJXjH5pGVYun48bqt+MXr2YfKyP2rVro2DBgtmfOZViPkYgCCNHjcdPP6zES6//jsb169D2RNo+yNqRYjImJ4Y6RGLSbZo45mPk8kTRdW2qFNL1+edYKqZM24smt9bGwyPGEAeghjJ5og7zVSaD0H/ww/j9l414/8PPUKH8Hxhwd03RH/GmWqGpdo14SP7Lkxg2TMOODzvg98NB5J+ZWeOhpiQGBevIgTkOM5D0UG7pZavI97RpiLff2UYWtYFtey9g5fc7xAi2011AZAgTiboVaopO9u1xQ/lw7Pn3Cv7eRduDiQwrgNOU+gUh00HvsZ0sbifbIvD16vWw2+2oVTEcNatXELE9kVY2G204F2QqBbE4K+HI5aJ/VG6Ow0QY/RmkoCVyJt0yvnZiEgXGImVZv5y+5buTjjSlsSA7GQvioynEt4w1HMkJq9yIxN7D8Rj62CqcIi63KG2LnvVGbzSpHkhLNqfpDE+aZ1BD4JgaKcitIeP5EQlb/tPKTprqtiJ4b95aWiS6jKeffxJ9+j2gtSdLeHWrEFAIKAQUAgoBMwLakpXZR11nEAF90OMS244liz/D4w89gea1gWcfaStWgJmIzOwBgUuy6kYh4C8CPGrnP+nkPQ/e+U/ey+fyl54FIQ43Vw9Bv84V8duGnbCnxOP++4egcaPGioiUOKnfbEdg5gcLkEInADw9eSGupERQbxtKc3D3T52DJsHK5Q4EBAeSRlaYcOA65LqMt0fjiec/Rwrtyv54/nIyjBBC31PnvNeVnPD0XU4jIfVIIZAuBCzty+17GYBpH8xD0zsaYOIbO7D1n/NICiikE2XOhNyiMYkmiDRnGJcrjqA7nXOUt/ovx5dedKyBoyDRn2FiGy1vpZV/SUQTimt+RtepDv4jYo3fKF1wIBmyKR6VhDYtIWiwZau24qffjgrx3TveRucRXiAykm1nU5L0nvJZk21b1iGNdGDPQTLos3oXae9FiDJr5BoTV9H46zDwxKRDGDnpCL7bsIfkhdAf4+nqDMKUvDlLMgSvJfE9P2f+lLel82mTQbQuwT371cRUMupCJCz3/R6wdOknKK4TL7rWHcvlP29Oi8bkKhuPiaTN6kWRZCsm+ikjTQ9pe5Mn0tMfSqz4DMYEkplIsrn/k3LZkFCcoxTGvrgKseeJFCYt1fkz+6Fx9TBBANttpHlq1+o3JSBM1C0TtEyaSucsNiPmx/fQ0i4ZQy47H5mxdtMhvDFrPzr3ao9nxr+kVY5MSP0qBBQCCgGFgELACwJKncALMBnx5g+zeVV3966teOSBvqhRAZjz9gBEh5ynoQCdjZPWR19p62QEehUnBxBgjQfeBjvk3pY4dDIJH3w4Hzc3qI8hD42k3MgpQw5kTCWZrxHg7dofzF2KXnd3w7tzV+OJ+1vThPkMnX/mul3b3Ffna8DyQOG5rmgzp5jsv/7+V9i6h4jILxaA61o5hUCuQcDJ85iyFIyFS9bg9ubV8Oiz32LxR/1RrlAKjQVJa03X2OZoaXBeJlmmS47gMT1nGA4Sey4Fa387Jr7VzieSeHJ+p1mjkTXvypYMR9UKEfQFp33Y5PiMy1DHRXTt1BjLftyMz5dsJG1GoHpFoG7N8nQO5iFjTKsRgwnofFc9CrcJv+4EXnltHSKCGqLjHfVIUy+FUgnCrr9PYcwLK5FAcgrRokK3bl0pJSehyelKJ8bV8sb0S8NtgZnRjxOTR6dWI4rs4HG5t+46jv0nbChWMAylCrF1cLIUbmIWjXgmmf5dMrlJIXVtSyb4mCRcsnIjvll3Xox8Xn76VpSJIfveHM4y3mfS1Mu+KNfkHUQcBhTQ5K69KGS9PPYWlI0JEtcOWxg+X/kHNv2lIdeuQxMcO3kRZ06e0etDJG7IDKb6LFM8ANUqxdBzqbkpH3M7kG1C+vn4FSQrtRjScN19KJnO792Im5rVwIcfLyEbRs5dMdZ5kQ+p6rFCQCGgEFAI5DMEFBmZiRVuHtzExcWh770dEZIATHupOwoXjKMh2GUaqPgYhvAISzmFQHYh4DaZkZMTfWDq9tyZMSbVefLCFjfHP9YWxw/PwcjHRqFW/Sa4uUkzmsTw1iDlFALZj0D7Tvdg2KN98c67C9Cs2RW0qBVOk2bqjIXGLzVq6mfVJCn76yX9KXI/pPVJyaTdtX1fIuYuPoeefTuge49exjOzXPN32DnBlv2aOaS6VghcGwJpfB5dBBeKLoLPln6Hpg0bYNjoeVj09n1EkiXQ95P6JJ0EcpGlE12GEKldJ/1dAhuhTBf03uik15a/rqD/yFWUluaslJN8M1gkbeTG0F4RmPB4axqvamQkbykPomNZWtxcAyWLbcYhsoND+nl0jiSdFWlP0IgvmS/yZ2M2YfbjeHlcGwwdtQb7jwEPP/cHypT5A5VvKIy/STs0lrZ7c34iaAby7pRbUbaITaTHW4/NjvtoT05uQZfPWNnPRmRmMO3WqFODrJn/ehV0hDVadv+E9BWJmPzuHhSPSCRIvOxK8omnTEmipd1zNN6mzGdf/n0gDt/8opVrTHwQStEzohM5YxRIxrOir8nx9L+dLWSTpqpZ7tPxwShLkLC2J2u1vj3rD1FLPKuY+9lvWPCZlpxMzSyX62xQF2DimG5iy3wg0cJsSEiSqrKfNccxrqWShKmeees35+F0XBhGPLMACaE2LFi8CiGhTiKS2zZH1XJlSFMXCgGFgEJAIaAQMBDw9M0yHqqLjCGQmpKAof274uCeUzQga4iaFYLo4x9H5+zRx18feGZMsoqlEMhdCLC+Eh9MH4GTeG3CfTSpAPr2aIOjh/blroyq3OQbBBz6NrQXJ7+N0pWL4flXv8LFpGjaPhdBBKRzsutKWuUbePJWQWkmKyb7jgjEJRfC2JeWokiZKLwzYzb5q+FL3qrM6z+3TJ2Z6TNJpvFvler18MlnS4VW78vTl+AqStDXk9QCDaIqc/AJIE1G/iYTN0Sbr7U/1jpgToj/5OmB/Pbwtdlfu2YNcr0U9P5pi4507qMtDt07FKdvPVCYIndpW0+k4ySz6AG5QDLQE2y7hGrlw7Bs3jAMvjcG0ZSRY0RK/rThPE6f1tK9tRmw6MP2aNWkFJGdl+htThaL9SGOONqYTIZY6C/YdpX+ZwLPSeKxVl8BXKRNyhopGkxam0zN8UI/l/vBQffgnjtstBNJS4djHjp0iP5Pn2NzOTy+4bE754WxDHJoBK1ZEuMTQBquPL5nnBlXziPn2bQj2hlFaHCm0OLYZVEGIZfybS6jDMzbzgMIT5ar1aFTmeH82ZO4RAZrGAcjf3RtrlNZt/JXVquUL379aX86KWy0Z8oNb+9PsJXGk+MXYO9xYOnXvyCmZDkX0epGIaAQUAgoBBQCvhCw0cfFPHbyFV4994EAw/ni+JF4gybCYx+uihH9m6Kg/SRtDyGLdjSw4ee2ABquKNh9IKke5wgC1t6AR7EenZwc8JCd2zPpQ9AB5r/+lYABj3yDyvWr4YeNf9L5TTyEVk4hkBMI2LFr+2a0bNwUve8qgP891xdhtuNCe0b1vzlRH/6k6exXZOgUIiKv2krghalL8dHSOHy99hu0vK0NPVZ9i8RI/eZ+BBxEKvECyKTnnqDx4TS8PLYRBna+gYi1WCKQmACkti+JIet31/CX74elvJr6GcVPpe9xCNFyoSRROyfSQT2eP45pfyb1gmisGsTWrWnLs3Q8brXb6PxBRzSdw0jGVCgF1oAMJUoVfF6kh/xyOD7vkPPCfydiz+HAoWOIiopC+TJEUEaGkIyr9BbH06+2bZgXHjhsIqIFViEOPtoonsQ7y60Zbgmn3GrlCiDjOcFE5vF2chk/2VYICSnBOH7iDAoXCkGxSA5z1UWOKFtauNIz1kBk6jOZ8kMFpZzR+Zh2ksN7rXXHqNlJOuOdIqhaPZwl3zI817G7XLY27kp0epMrCVENpyJUH3QmsqUCeHu4mNoFaNbR+Zrrk8/55nS4VGZMne3OiTPnV7ZZs9akyBcZILqC4hj32mp8vPws3pszHf0GPUQxmIrVnJjryHYpPdWvQkAhoBBQCCgELAgoMtICyLXd2vHFonkY1n8QercNwyvP9kOk4xh9/C/RYM31I39t6ajYCoEsQsA5xtYSsE4yjGRle9YHnzToTHGE0TC3KD77+i88NXknuvXrig/nLEBAYKiYWBhR1YVCIBsReHnCk5g68U28/VILdLujDJ0feZb64xSaNpkau9jnxzM4avBiJqd+cwQHU7sQRjTImEZiQFGs336FFjlWYvjoBzFpyrsUyjnpNUVRlwqBXI4AfzdTMXxIHyyhs/XmTbsVt9YvQiSXTv7JLsn63fVGmjHZQ0STM5rlu+wvGrocf4Mb4ZwJC/LL0Da35Fcj1gIpn9oCgpN81CRZi2vI93RhzqslHQ4uSDBa8GcNedIrFBKYLnQh36RcD/HlI5dfc5ouDzLrxnO9+ST0TPi75MTs70/eveJgyReF4y3pSbTwPHfZVox7dS8eHj0Cr7z6JiWvFodc6kDdKAQUAgoBhYBfCCgy0i+YvAcyf/M3rFuNzu3bgc70xsIZfVEi/DxCaFsHr9g6nenj7s8gwRlRXSkEsg8Bc8P2M1WplcDbz6bMXIsZ845i9Auj8NyE1/yUoIIpBNKHgCfNDSHBpf0m4/ZbbsLRf3bjm3kDUCb6qq5tYzZow5NW7pvVb07iIBWO+Ew4qeF1Ki4Sd/WZg6LlK2Dj738jgIwjMHnhc6IuGoL6TyGQ2xCg7bspiWjVvCZO/XcQy+YOxI1FL9JY8bS7hqHfWTeNK/2OYw7oK76v55osb+8k+0OcIa2Rg6yFSS8w+Um5Mi/yXgsnfQ25Rr/uOZwML3/ZcjQTpB6JSBkos3/TGNcb5fCVppsM1/Lyd4+d3+dyeyUbvWTEwNn0nGSwRmc8YvDD1ngMevxr3NmxhTDOFBjEp4261pkpprpUCCgEFAIKAYWAVwQUGekVGv8e8DebBzr79+3FbU1rIoK0ahbPGYKKRc/QGTPnPQyCXAcV/qWiQikEshkBT4NRX1nQB9BJtJUrzlYegx+biR+2ALMXzMG9vfvrkxFfQtRzhUB6EPDSn2odsyFoH/XPtzSuhhpkVWDMI210MtJ5/pYRUF3kKALm6SxvBOWtiDM++gGb/wFZBN6GWrXrEo1BVmpzNJcqcYVA+hBwJ6HsiLsQi5tqlkYJOjRwyaz+KFLwnLHdOH3SObSXftBvQab4bkRY2vLdy+ZHol7JMVM+PIkx+nUf4TyWwZNA334ZKp85ffO17+S8hLCUV9uHTWHNPaYlqjldK97mZ5Zo4tbA2bnow31xii0Kuw7Z0Wv4VyhV9Uas/ekPBBdgE0Fp5MOTfOWnEFAIKAQUAgoBHQFFRmZCU2CDNXe0bIzdv/+Jee/chlsbFKFTe2jbjYPOluGPvnIKgVyOgME9WgetGci3dqZTJA6fLYh7H/qcfoFNW7eLA/xZIUI49VpkAFkVJSMIyHnVwk8/wuD+9xubydT0KSNoZm0cofGoJyGn30wZz3h/GoYMe5iuvNSa6leytmKU9CxAIAWbN21Au9vuwN0tgvDmi0PphMXDYuzoINVgMXZ00xx0zYZbszd5uJJo8m3y8v6YxLrEM8kzBXG79Kqh7hZS9/BTrgjthThjEb6GEb6S8fWcKkHT4PQ0LqJnjBU7b/nwKp8fiPhsbdoU22sEkYz3/6zxPOXXe2xjWCaDmHIknvF9IorgeFwM+gyfjbMJNnz/y9+oUKEKPfHdpqRc+WvNrvRXvwoBhYBCQCGQ/xBQZOQ117kdA/vcg+WLVmLmlNa459ai4kBytuzHh4m7DDSuOS0lQCGQNQgYg8N0DmJFbuSA3ZQ13h6VRAec/3EgGL2HfYaw4pH4ZcteFC1WnN4LGryaR7umeOpSIXAtCLhMpEmQ0a51oRs3bkRqKhl50CeR15KWipv5CLDCDzs+utPsWrRokbYxLGtFmyOra4VArkXAjnlzZmDEkMfwxJCKeOr+lgi3nSILygn0iTQfI+G5AO7Nnl4csf3ZGt5/MtIlpnsCLo+dNyb5pvGAtT82wpvlmsIbz31cmKOnFdROWPAY3NKdGFH8lePVwIsuyU2+XiaWL+YA5u8NP7PrKVsjsj8/1/294meUQL+wxDPyy+demNO2xtPv9dwYT2W22J+N86SScZ54lMKgkbOx9g/g+w3fo1HT2+mpRkTK+DKeIcjLRXrDexGjvBUCCgGFgELgOkBAkZEeK5EHVvpHVh/MeAxGn+m333oDz44cjRF9CuPZx+5GqCPWs9U+zwLyrK8cJPkaVMhJv0HKWsguZ3x9MGt5Lush04EShJgcQDvr25qOLKfw1weYrmGkDG+rw9bn+r1JlpZGoKtYX3dO4HyFzLHnbEkzEYUx/6udGD3lb9ze8Q4sWf41AoMKGHnyVQyvz70+MESrC4WAQkAhoBBQCORaBOj0SBpppuD+AT2xeN6X+N/YWujbuS5RP6dJg9vVurJ/hbCON/yLpULlTQQcuuasTY6b9WL4Hh5p7YSN/AjH41GTM98lIYosZ5fB869+TpazL2HG7GnoP3g4hVYGa0yQqUuFgEJAIaAQyCACioz0CBx/qL2RS84Iq1YuQe8uPdCgOvDFu/0RHRxLp1wl+rWi7ZSSd6607bfhNHz+P3vnAd9U9fbxX7oLLRTKKMuCVEHZe0/Bicpy/RkCgsIrDhQVRQVREfcABQHZKEtlKVNR9lIQAUVAltgyioUWutLkfZ6T3DTNaJM2bZP0OR/S3HHm99xwz/3d55wnmN62kn9C6xFLLs1gz4nBumsIMGRkxzIPorIHTeZBtDaoskxPyrsfsjN1Y8tKjDRNMSIx0EogtM5JiYXUs6ZxG9eHptZwxVUd8xr8257nx48g9baZv3lBcJ1RT7lnunfdZIOzrqpXbSsPmsZQXNNVwZtTt+Cz+Sfx+OgReOtd9oZrCs6aoYnAzs7bmbxpGcq3EBACQkAICAEfIKCGEVTPtLRruPvWlji86xAWzeiJZjcE0Ap9l2gUSrNraLSQI2jCkUOLNy1uIY2bclREdoqbQEHFSMtzDl1TBkP2lHEe2qtxqjGYxm+VMWX+Trw99ThGPDMUb73/OZ2V66u4+17KFwJCQAj4CwERI/PZk/v370e3dk2UQ4TZk/uhelQKwnSXSaei6dksUtmJavksqIiT2Yk/VgfSEYUNO8/jcloYzfygwYjyjmg7+NX2syseiiTc2iYGZULJs7iRzjMfJ8JfdirPblk1Q2Vs2beqBwtgql4UI4fOSm01klxoIOHQ5DzBYH5IcDCNypKx8/pnGcORrovCnn1HcOLkP+h51y2ICLmCIBJsnU+pYa7mAaCVkOq8lCI6k1d7dcHIMJRGiqECHh09F2t2AV9++zXu7dm7iCooxQgBISAEhIAQ8G4CF8+dRtOGtRGq1+P7uffjuuhUel2ZrF5UenfNpXZ+R4DGxVmGMLVO5MZd/+KR0VvRrWc3LFi8EgGBYTRMzjFC9rvmS4OEgBAQAkKg6AiIGJkP1ucSzqBlk7rIunINy7+4F/VjdWQrSA5r6NZtCX4oRl6jNWM691mGY/EmsY6lMW1IYnqTamm9Oq7pVDwpd/PyjriuIstpLPh5kRiZXWW1pdVZaxcf1NOkqQxjeezdfxCnT/yJ+3rfgRDjVRqQZdqkpl1HGZhjsZCZZQxChi4axxOCcF+/RUinmVib1/dD5YhLauF6+wy1Iz4qRlL12aKW1xy6mFYJPQbOxd/ngT2/mR3aaM2TbyEgBISAEBACJZjAqZN/o33T2qhDSysvmvkIIgMTaFyQkv0StwSzkaYXEQF6djHQh8ep7Dn7oUeXI7RiWWz/9W+UKVtOhMgi6gYpRggIASFQUgiIrb3W0ywiWX+04zbfenprPfChnkhOuIZ3xrbFTbGhSogMoGm2OYIS3FhAchK0spyc9r7DBmSRJWQ6qXQsufKL0VKkMkaEA5H0KUPbZc0f232OExSQPQVEtY2c+/B0Z0tg8VYTcC0HacPCieNaxbeO42ibKshJtcBTnaynO7HYaC04avFMQqlVOTwoozVzXpu8Hg8+fhiHThig14WTqGhe49G23nYZZ9ebFwLP0JXD2aRSGDJqERJIiEyjgvU0IYunxOQerH6qfG15S7Brr33FeKpZsDEVUWHJ+OD1HoigNH17dkfiRVIlcwnKUjWX83JKCAgBISAEhIC/EIiteT1mzFuEX44Cr3+8Wlmm8cs8Xs5FghBwmYDtuDSvhJqlIw2aeRaQXlcG/1wKwNBnlsNYJhir129D2ajyIkTmxVHOCwEhIASEgNsE8lJA3M7QvxPo8dyo4djx0694ZWRt9OhCU2qM5xGos7KI9GcAZNWnp8EKS2Ht25fF5Lefp2FyErWfPD+qBRWNNJAhpYkWVLTe5zf74SBzSvpWYh9taWsCuo7LwWCcBlzaIF1N/+bMzEKdq0IWWyuqZKxccloexNmIfWzVt+v3JNAkamTSQ4GBBms0V0Wly/sPS3HEDREkatLU7N8TMOaNb/DHGZPOGkIZKCFSlZt3br4YQ4nAxJSvg2Z1ovHmS03w1Lh9GNy/N75dvTGHQxvr9slUIGsasi0EhIAQEAL+TuD2Hn3wylvj8doL41Gr2jY88kArGoEkIkhb4kYDwAKSw3UjtQjyLQRcJMDXEY9BaTycSY4HL2dEY9Qrc/DvFWDtz5tRK+4mFzOSaEJACAgBISAE3CMgYqTGiy28HATWqDjw6UULZmP2tC9wb7cwDKEBYimQwxo3hUhLfk7KU4UV4x+LVz5NkNO+lVhHHKjePGQJNV6mAXICfc7TIJlERnWUZUo6y4Nm876O15U0ppNlHDn20fKis+o4fVuC1TnLMd5wxsksRBpogW0O7JHSJIJyGraCtA1cawpqwEVfqjzTtGkWvQJ0bKnJxZkFSbWX/YdbxAgs3ge1U87qrcRFdlbDlo8ROJ9aBe9NW4GFX19AmrkITmpfT1PG7ou1WoW85ZuJcTBzpy1exqCU8QJ6d78Zp/+5gvdmbMP4V57D629NVjFNf+zTWZ2UTSEgBISAEBACfkcg+54fhGeeH4utP6/Fm5N34ub6jdG+Xhk11mTHeUZ6vanT0dDdQDvKk541Cpv7p3m8Y/uC1TqFbPsuAR5fcrCMI3OMb62Om6Ll+pdf7LMVbhqi8eJ732LTfmD+ktlo1rylGvdqxpOciV25ueYsJ4WAEBACQkAIOCcgYqRzNtlnaErxnl3b8fjQR0Hri5NlV39EBMarxcUtYksJekvNAx+SGBGiS0GoIYkcr7AY6STwqIXZ0L8sEg719NZVeePmw/QO1tHai1k0bTmTpkYbiDALWOpjJE/cNPBmq0Q+r0ckfULxb8JFnDlzFtWrV0W1KhWoLmnqE0gCKXuo5qDWLDSWJgc0JFxSPdj9DFsjZtF+fMJ/OEXp466/DhWjI2godo3OpKoyuSwuhwdnegOve5hJ06wrIs1YWeVAiqbJKpRiOQw0MGRb0dRMHfr2m4m/E0xWpa1blEenTt3x/nuLVTJHVpz+aBWoI05MlL2Ejhx8Cw4cPo4PJ01By1btcXfP+4gF8aI39P7YdofXhxwUAkJACAgBIUAEct73gjB34XJ0atcYI8d8g2+n90btmEg15gzit5hiESnXjCcJ0Fg1SxdKI99oTJv/I5Z+dxnPvPQset03kEoJUEN4TxYneQkBISAEhIAQ0Ahkmy1pR0rYN2tl2ls+26YrYYQOHj50AL3u7ooKEcDn79yPymHnaFB4lc5Y4bNdA9E2M/M+C3n88dqgzPV4sEs1VGC4jfSxWrOIj6hZHS4MiFU2psgkQ5XGpwu24ca2y9Gg43LEp1Qgea+0HQoWIj9fcojiLUPLrquQdC2CBkohSojMJHEwKTMGr366FQ1unY92fdbggacPoF3ftWjYfQFem7IViRlVqaxIqr6pf7jcXYevoi6V2/qO5SSFNcTHXx1Fq7sXok3v73H/U7+h6d2r0K73V9i4+z81IDMJnqUxadp63Nz2E+z7I1OtlTlrWYLab9ZlCV0BlUhgpYUyHQXmSIEfMDIyMnCOhMhKZYBxT1TB/I+GoEaFTBI+TVdQzocQlcwP/piuG4vQqr2xp17h9SNL4SzeH9cPsbRQ/6D+D+L3/XtUm00Ws5RWu/60bz8gIk0QAkJACAgBIeAKgcioilj89Xok0cLSz772DS4bqtM4qBQlpbGFeZxmoLGVGqZZMjTddy272njOcsC8wfdj8z3Z9pTs+w4Bu+cJc3/bHbdtktVFYxon09wiYxls2HEB737+D269uwPGvfYGpeLryTrwuNY088irn2OsqyzbQkAICAEh4NUEbO80Xl3ZoqqcJqCwSJSSkoL/3XcP0i/p8cFrdyG2op7WvqN1Es1Wd0VVJ68phwYxajjCIhuJhqm68mQ5WMHhJx3laY3FskpwZEtE/txxRy9k0VWXRMaEa346Qts8uDYHGhwbyXoykxbPXvL9UbVGY6dbdAgtRYIlWSGyV+vj8UbcN2g25n75Ly6TQeb1tYDOncqhVk1akZIcwsz8MgEPDZmOs4m0viNNj+b82BIzndZr5DUfk2kE9faUZXh/8j5cTgbq3ghEl+ep1MBJEgyHjdpMa+QcU2XxeK1cuXKIrUFWoGxUSWkjqCo1qtOHjuUpIpoFyZBAA57+v7JY++0wDHuoHTlwiUeo7ipNDac8qAx/DhZGxEKzemQv5CHkfb5CxFV8/OY9CCYD1vv79EBSUpJjFP4OyXGr5agQEAJCQAiUWAIBuKFuA8xbtAi7DgEvT5pP45gKNDbh2SWmSU2W+6vGiAcpEoSANYE8rgl2rJiOcvjjVAZGjduI2g2vw5dLVtFa3ryiuQQhIASEgBAQAoVLoMSLkTx0sx2+WQ/wBg8ejGN//oPXnr0ZnZtGKCccal1BXq/H6u1i4XZTMeRuA0YTaLkmLEYmpZXGsfgQHImPwB/xZa0+kbTNn7Lq3NF/g5CUWkpNrQ4gybJatBEdWrFQCCxfu5PexoYQRtNlyF78MslT9V9/n8ehv0x4e9/VjtanJJGKpmhnkifq8R+sxu8ngMrlgHkfdcHGhUMx960e2PTlIHz1WXdUImHx0HESHCevIgvHypSGPFWbLTh5VchzlNX8Lw9iUO9Q7F7dD2vnDMSe1Y9h4Sd3gpwG4hr16afz91D9StFw/yoee6AF1i5+EvXigmlKOYlmd8Rg3ZInsXze/Qg3JKhp2pSt06CjekeG6zGif3tUCk9QbQk0ZlKdsujjNJnTE5wkH8mc5uexEy5UzPp3xVcRO7RpXS8YM97tirMnL+K+vr2zq6Ndf7Y/zuwYsiUEhIAQEAJCwOcJ2N4+rffZoc1Lb76Mxd9dxcwlO3BNV1mNp7jR2m3SAsBuUGGyZLOc1zacWUxq5+XbJwlYXzeWBthdE3TGalzF4vaJS5EY9OxKWoaIxtVfrkBwmP2MJVN+PFYv8Y+NFrSyIQSEgBAQAgUnIGtG2jHkwRuHACxfvhzLli2jWzVwX69bSZw6TvdwWruQQx5vG02R/OcvC0maaMii3o69KejR5z31fp6HJtrYhgdDHHifj/MF9vpLMXigRxOSGtmRzSX0ubsh1u44gF/2Af+ev4ralcLVuSxalJ2naK9c+x2lAmqRBWKzRtfTuQSSrsKwddcRbNhmUGLohJe7oUurarRmZTwJgqlUtyC0alQFb781AIMfm48VG6jP+p5D+/phdhaMjeoBY58dSCWdprzTqMwwdG5eBUMHXIf3Zp3G/sMgq8kMRESyH+xLJJhGICggk+KS4x5cRJjunBIVgwJ4qn4egQaCbEUbSNa0KihQeuKjXWd5pLc5zck1xjanvHNX+52oZQy4iqZ1Ifn3o9YMJXvVNi3IU6PhR/zwwyb1m+vZs6elLVpbtevLckI2hIAQEAJCQAj4IYGc9/kgjH7hdZz/9zQmTZ6HhvXros3NUXT/1NPdNNP5WILvvdoN1A8ZSZPySUBdFzS9X81CCqdlj8qSReR8nDgP/LBtI268qaE5YxEd80lYkgkBISAEhIAbBORuYweLkZiwsCjSv39/NZ779rttJENG0bZ56gK/WQ6wHullp7PL0tEBL1mzh1tg3QpHVVXH8lhfyDYf6zw1izgeOLPTmy7tGiC6LDuWAb5bvxPpNC2bvWLzOo1XjVFYsS5FrafYs0ddJRaSSxNkkAOalWv3qLrWrgm0b9OQ8KcppzT8ZpencHNo3rAW4mLJ8pIqsH7z7yT58cqMpHXRuJx7iHvvgZ4dqSRycEPObnTk+ZvFwhBdMm6sSWaVFLjuyck059vI8qMprdpw9MdJP3Ie/LEETZTTvs0nOA7XjWah54xvSWgV0bxJUb0omC0vuFKOKsZv5enDQrYmZvP1wFF5+jyvAbpr319qSdLbbuuOHj16qLZp1qzOsvUiAFIVISAEhIAQEAL5JsAvJ9ULSqtBg/XtlLcnvT8NNzW/AY+NXo0/TvNLVHbyZxrfOC9YG5ea79POI8oZPyCQ13hJjat4TEZjMJ6FdBXV8Orby7DzN1riaMEMtGjViSho14wfAJEmCAEhIASEgNcTEMvIPLpo5syZOHpwKya8uwf1bqyGxnGRdB/PoNt1FglZvNKg9ZAxj8x88DQPXjQxUWspf7duVhrjxjxGQ+HLJOalO2wZi4/smbpSOR3xSlWDbY4bTosE3n1bDcxbcgar1iVgcP/yCKY1FNnr9Y59Z8hakkRDGg/1vL0VrauYRE5iyAZAR1NJzpgEu9JlymDNxp0kP15QdeM68ocXd0/XnUQ4mbKy0HnyzHkSvFhQJEtEswDGF3yNKmVUndmygLsvQAmS11ClcpQahvHzQIaePHfzOXWEDtgF8xqIdsedHOABIAft27Tn3l/OQusE91J6V2xeG5QcIulpTc8zicF47tUNiL2+PBbR2lhBQab/krRrzrsqLrURAkJACAgBIVCIBJzc5wODwmm8tAtN68Vg5AsrsWjGw6hSml7x6XgsSmKj1brMqnYFGWsUYvMk6+IlwLOI9IYgGitHkefsTVj8fRpeGP8M7n9wCFWMhUjrwCI2B9vjpqPyVwgIASEgBIRAQQmIGOmEoFk6QkhoKFas2YxWTeIw9JnlWDnnflwXXZpu51dJ0NJu1NaZaMfyuHmzZaUXBOfalql+JkM+jYapwizvRZW6hhur6WmC8zWSENk1jH1Qb/tpkBxADkusBcsg2u/TozW+IjHy8HFe4zEJzWvT2o5kr7icWLPE27EZyNMyi5jkSpJos1B58qxJZNx74AoOHthOR3IGrjGLkFpt/znNU+rNe2bLTm5vxWhya62zqjOt66gz0JRsqy5Tb5Aprha0cT2XoeWvC6AE/BBgFSznrI7ltsn1YQNbqgIJptYxtXzNlcpxzjpecW9bQXNQFU3Mzq4+ibhqOn4YLmeUwYgx83CVLqhtG3egbJTJMtVBNlbQHZ6Vg0JACAgBISAEfIuAZcDg2n2+TNlyWLRsLW5p3xUjXphLa10PRmBAmmmWB1tXmgcRlmwtNHK/T1uiyYaPEbAZJ9rW3uZC4OtDTyPnDHI8uWnnGXzw+XHc+8BtGDP2DUrp6BoxHbPJxrYU2RcCQkAICAEhkG8CIka6gK5yTA3M+WoN+tx+C54ZvwQz3x+IqCB6Ix2QrKz9XMjCT6KYBj4sLAWROhdKU5vDDZcQRFOvnYZsFcoUhQZDOppeXT+uBhrUAfYdAVas3YuGj7fH1XQ9Nmy6pCTePnffTNKkyWu5nsQrDmmsS1K4+aYKaBRXRgnCyhqAjunMYiNb3NHEZyXuVS6TSkIfWW1SmUoUozN8NoCVP4ukSJsUtEG8aY//asMv0xHzGN9y2j6+5ZRsWBGw58T2smEkMVem6UELsYe8hH69ZiWqx8ZZpZJNISAEhIAQEAJCwJZA89ad8NHUqXjy0RF47f3FeP35vnRHPUcO9ugFq5e85Lats+wXMwE1BmbzgEBabqoMDp/OxFOvbEX1G6Mx9YvF0AWFFnMFpXghIASEgBAoqQREjHTS82r9HnXO9Gawc+eu+HjaFAwfPBJj3/0WH469h8SwNBK3ci4gbqApxSzAKA2OFSzNpE5JbJyhKT8nxXrRYZt6clPoo61vyBWlidGW+mrSnWq35Wj2BnuPVsKUIYDe4tNUbeNF9O5RHXuP/IMVG//GqP+7Bz9u/REpNJ4uGwF069iU3t/+S7QoHYuLxLlWDSDxKMizdRTeffFOmqZ9LrsA2iIbTKpTMH0CaDtIiZXBSKQ3waXUkRyRrXZsrSCtTtltMhVuoymN1mqOpgm1Ntz4FAXNQtC058pfx/m4krJ44jh+Q2+g6z9AU3LN07N5etDkuTuxaE0WPpn6Lm67/S6qch7tdXZhFU9jpVQhIASEgBAQAgUjkMd9zfG4IQCDhz2KHeRsZO7cr9Gw0XE8eFs1WtqGXrzybZgEyTyyLVidJbUXEchj3MTTbvgZhMZePCbW0xrdZxOD8MioJcgqBXyzahNKlY6k9uTMx/a6k+vJi7pcqiIEhIAQ8DMCOe9AftY4TzXHJDwB/Qc9hlEvPoMl3yVjwbd7SIqsSFKZyXGKVpbFEiyHEKmd9e1vS9uoGSxMwkjTp8lqkadQ80Lq/OFt9tKX40ODIOh4UrXpcgskYZKtKe/q3hahdOpf0hT3HbmC1RsOqBh33VYFpUJoareRhV72GMlerVNx/XUmIfDQ78fI4Uwqwoz/kcyYQO5r/kFp47/UE4n03jcN69avwbo1q/DXn4epTE0ko808g01cs7WldR48oOM1d7S25JmlOYI1O2dptOvM2XlfPG7d7iy6BlIRjW2/xuODGX+h78A+GDL8aWqW/Dfki30rdRYCQkAICIHCI2B9/8xZSgAmT5uNlp2aYczr22iGQSLSyPkf32MlCAELAWUMQeMrui5YiEzKiKb1RpfQWt3AvMXrUSuuHkW1H385v+4sOcuGEBACQkAICAGPELC/C3kkW1/MhIUoazGK0ZjwZN+YA/D6xHfRsXsLso78Cxv2XKYpDxHKEk9rMWt06i2ixSJSO5Odn3bEK75ZcLOIbrnXyCKW0YtWJsVCrKMPe+nL8aFJREZdiJkTc+DJIukoXyYQt3QkM0gK33y3Hz/tAB0H+t7ZSp3XphyRL22EGpMo7o2K7bGTFH/tPlzTsRhM00uo/jw9m6efHDwdilETzuGZ189h7Za/Vf04/9xCdv9axzK9C9baHMIVo5CamkVCayg51bHipgwk3exfB8wd18NUrtf/teZhXVntd0Dn9cZIHI0Px9OvbkZcvSr44OOpFJO5SRACQkAICAEhIAScEdDGItr50NBS+Hr5GlS7IYrWXv4BJxLL0vyR0jTOyi3YjnNziyvnfI6A3TiMZwuRRaQxhEbc5TBm0jJso3f0H0/9GJ273ELNk/GXz/WxVFgICAEh4GcEZJq2Wx3KN3Zg4ZLv0LVDU7wwYS1qT++LG2PKk6VfsklAcys/34vMsz54OBt/Cfhx12myg7xMQx3zYo5OmhNI9nC1Koegds1oNUWbrR1Nq9ekkyObtvj+x/VY9O2vSntsWBNofHMlWuvxjCU3towEWUL26N4Ks7/5C3t/A954dy+CgwNxZ9cGKk/2mv3bn+fxzLhlSKMKliWD1b59elEe/1nyyc8GC4SBtMZkZARPvTfil98zcTzegArhIagcFUzrNPG6oZluZ60sSy2p/HdAyPzYSpbF6aSMcvi/MXOQTs1dvW4bOayJJgL+23ZL98qGEBACQkAICIECELB7WakLRCTdQ1ev3Y62zW/Gky/PxYKPaT3zED2NS1JpWRz3xyUFqJ4k9UYC6iVwKNICKuLjmevw7doUDBjWHwOH/J9dbVnstrvG7GLJASEgBISAEBACniUgYqSFp2uiCNvLsYjy5dLvcWv7huRhexmWzR6OSmEmaz9LdrzhC1O1XVzwXL2VNxkLkpQI7CbHIwNGrVKWjM7IsWjJoRSle+x+YOxTPUm401MazoGtINPRqWVtXFcBOEbTRjj7vndXpenXF9U5FYn+sHDJa3OGkEObt8fciRHPfo+j/wKPv7wLNartwvXXl8Off/2HBJruzXlE0FU95a0WqFE+hYTSq5SSvGe7GLjOpvZk2xcEkMOdxnVjsHl7PC38DXTpM4fsD4Cd6wcgprSB6nWF9rTWmgrSUpuRef5a4DfgHFzsP1Nkz/+1tNPSUPsyWIi8imp49Z2FOHCMrFq/oFfmxwAAQABJREFU/wYVySmUBCEgBISAEBACQiC/BAJQveYN+HzOEjzU636MeWMhPpjwCA09z9C4xJEY6Wy0lt/yJV2xErAMwMy1sBoPGnmB9wAeOUfhm42n8Mmcc7irTxdM+Ww6RebrIOe1IEJksfakFC4EhIAQKLEEct6NSiwGdxsegBvr1MfCZd+D/K/gqZemqfUjeco2r81imU6jTVF1N3svi6+9MQ0iz9S05rUS4tj3Xgh9ePYy61COPnxOXWDagIn2rQOLkeEBl3DfnaUQQXFo1jZ63d6U8k2hdGQNaRVYkGRh8abYEHy74GEMuL8SypAiePYs8POW/3COhEgur3MbYMH0u9G5ZSxN4L5E+fC6k5nKMzcZS9KEcZAX8Mt0PMMqd64/rXapu6baxvG4LOjIgtPIQmg6Rjx8O+7uSnWkhrOCz+06efIk/XUxWF0Lgao+l0x1oeRBxsv08JCzPi7m6tXReHpQljGc6EVh2vxNWPx9Kj769B10v50tVuW/Hq/uPKmcEBACQkAIeA0By7jSrkZBuKPHfZjw1jh8uzELny/4ie655emVb7iaomsXXQ6UCAKGANPU7P3HkvHq21vRqG19zF24HIHKc7aMv0rERSCNFAJCQAj4AAEdDXCcSEU+UPtir6Ie7016HRNenIBnhlTHqKHdaPgXr8S0Yq+axytgUOsvaoNcU/bOzeG0acg0w1lZOQaRwMhOaHJ4H+dFtdkJDlHTG1nIZfc3l+mTpkRAtvrThFB1mdK0JJOTnFAaaJdGpjEM584n4sSps4iMjMR11WNQLjKIyktDsPEqeXFOJ5GR602OdYylyRM4L+7OvrYz6LzVNCayMuQ1J7Mov3RdWdW0ULLCDKI4pjqYphnz4D49Kwzx8fEoHxWCcmSCyaIli4u2QftROSLE9eH6s+dvh/WxzcwH9h211yRElsfmfRcx4Mkf0WtAL0yfs5haI4vs+0CXShWFgBAQAkLABwiYxkl69Ln7Vvyw+idMn9QKd3WsSS9hE9W4y64JXjKzwq5ecsAzBKh/eaz+96Uo9H54LlJJe9zz+2makVKN8s8WIrXxtWcKlVyEgBAQAkJACLhPQMRI95mpFNY38ccG98HSOd/g3Vdb4MHbryeLtws5Rbd8luENybLbqU1Dzh7I5FY/R+JUbvG1c9nlkUyXyxo2fA5mcZLlRRYdeao0W1TqSAE1Ggz07UgKNJfk6hR6rSEBlBdNe2HRkoORPIJz/qZyzXlafWnJnNfACU9X62VVljds5mivWdzlBdMPnjKi3/AVqNmwHlau342Q0HBLv+TWv97QJqmDEBACQkAICAFvIODK/TIp6RJuaV8fSafisXBaTzSuFUAzPi4hkMYrOZZ0ETHSG7rU43VQ42KeoE9L41zOqIgHHp+H/bQ0zg9bfkaT5h3pGvB4kZKhEBACQkAICIECERAxUsOXQ03RDrr2nZ6WjI5tGuL0Hyexas69uDlWRwuIk2MXHTl2sQz6XMvLW2KxwMfBIrblxUdrp9YAq7VrtEP8bZ+NE1HOOpGjbc6IBlamenJdTflY6usojTvH7CtqSq2100n77Itw1j5nx83F2GTktWNIBzx4enYmSfJJ+kro9ch8nL0SgD37/6a38rE2rZJdISAEhIAQEAJCwFMEThw7hA6t6qN6OVqfefoARIdftHdo42x846lKSD5FR8DmBXYGrZGeSmt0v/DGPHz5fQZmfTUTfR98mOojLgKKrlOkJCEgBISAEHCVgGtmbq7mVkLjhYZFYsWabQgrF4hhz67AmcQw6HURJJTxqoq+iZinV/PHqwPXkURIzTu3x4TI3BrNIqTLQmRuGfF14ZvXhl2reDBsDiwOsxCZhsoY++YC/HkKmLtonTis0QDJtxAQAkJACAiBQiJQK+4mfLFwFX4/Tk7+xszH1awK0AeUMr24pXu1aVYJFZ592y6kmki2RULAvNIWvwRWSwnRGt1zlm3HEhIih43sbxYi/WSsWSRApRAhIASEgBAoSgJyh9Jo88DManDGOpw7WlxM5apYvXYr/iXHyk+PX0TrtVQkmYwWEOdpvTzF1xx4eq9mxacd865vttgzC27WopsNH7s6ayKd9m0XwXTAPhu+BK0vQ3P5WnpnHWHJyCa+lk771iz31D7F1fLTvrV4tt+W/G1PuLtv2z7X0ptEVhZaTR/XUhVDrAAGaXI2xEKk8imvi8L7M7dgyTojPpn2CTp17kpxrPu4GOopRQoBISAEhIAQ8CMCjocxAbjt9jvx2lsv44c9wDszfkaasRzdm9m5Ii0tY/Xy0I9QlMimmKZlm5rOa5HzOpHrNh/HGx8fRotODfDeh9PopGkMyteKBCEgBISAEBAC3kYgcDwFb6uUN9WHNSlXQ6WYqqhUtTqmTl2Fy4l/oH27ljQMSEcgOWbRpM3scaA7ObtaA0/EMw9ZLB5oPJGnO3loQyYbPja72Tk6iW+JQAktJp4c1yYjm11LssLeUCKpdd1sC9TapR0vropq5efybb6oDcoBUHn8uPMsxr7zO/o92h9jXnmDErKfcwlCQAgIASEgBISApwnYjg6MNM5p174j/j71F+bO3Y7asSG44foaNB7NoDN6S/G26SwnZMMnCChhmcaShoBQZNBL4EOns/DY6B9QJa4SVtMa3WGlylA7yEGjuTXS3z7RrVJJISAEhECJIiBrRhZCd4978Ql8NGkKXn+uGR7pFUeTVs/RcMDsWMU8pSJ7SrGvWYyxJSIHT9fbU/k6zsduMGZ3wNSqvP46T+a43Lzyy+u8kSxNTVoq8ebCvXU0SQPiNF00fjsVggceXYIbm9TDmh/2IjDItFSB8jfkrXXPqxPkvBAQAkJACAgBnyJgwNWUK+jYuj5O/3kW86f0QMdGITRf5wK1gmdcSPB5AjQmNJLP9AxE4liCDg+NXI5kMiTY9esxVKpSk5qXc5xuGr9y3+c87vMcpAFCQAgIASHgswREjCyUrtOj193dsWn1T1j4cQd0aVEZocYkspBMNelJbElG07VN3hF9zWqscES37KnrnhgkcR1z5mMnItodcO1CcJ6ssLhY1YsL97InCIv3RpTGf5kV0XvoHJxNDsDufcdRkQbDXlZdK5iyKQSEgBAQAkLAvwnE/3MCrZvXoTt0JlbOeQjVy6bQhN5kmq+Q6d8N9/fWqdk1bOtahsZe0RgwYg72/k1Oi9asQ+cu3aj1OcfAjMNATyC0aqiIkf5+bUj7hIAQEAI+RMD+buVDlS+MqhrV7Zpv2drE6vyUEoBFS1ehZt2KeOb1LTgSH4ZMcmjDnrWVOENmYrx2j6PBQn5KK9w0LLJpQhuXxJcMf2yP8zkKPEBSgyTTru3fgnG1zS17n9cr1IRCR1yZdg5hzO6AOS+bCpryNeXNp5wly+aSXSePb1k3wKaeHi/LxQx5mlCmLhxXddXw5Ctz8OcZ4NvVm+mt/HU5ebuYn0QTAkJACAgBISAEPEOgSvVYLF/9M85dBgY9+RUuZVSlidqlPZO55FJsBHg9erVOJE3Pfu7Nxdj+BzBj9nQSIrs6rRM/gYhVpFM8ckIICAEhIASKgQCrShI8TiAAoWERWPrtBqSSgDTsmQW4lBqp3mAajcGqNBZxZCFxT4P3w8s5D3HX0wTdyS/be2N5fDRzPdZuAT6eNhlNmrejbEjANS9J4E6eElcICAEhIASEgBDwFIEAuie3wcdTp2D/UeDVd7+klcyjlSDJ93AJvkeAX5Jn0fTsNHKUOW3+D1ixIRVPPvd/6PPQIGoMj4P9cCzse90kNRYCQkAICAEXCMgdywYSvzU0fWws6WziabuagZr2rR3n7xvqNsCCxWtw7Czw4qRFuGKIUVZk1nFyWh1qZ6wtEa2POTqunS+sb2cDGyfH3famrdXbSX7a6Ty+PeZ12sb0UcvX5nAetfHgaWc8i61C5rbRBW8gYZ0falZsPIwpc0/i6TH/h/6DHqMIpuuUxXYRJD14LUhWQkAICAEhIATyQYDvzYOHD8DS75Kx4Nu9SCUhiwUt2+BL92ytrtq3bVu8f9/JDKNcKs5CpIE+6boyWLH5LN6Z/i/uuKc93pz4DqXiZZ/ksS4XfHJKCAgBISAEvIyArBlZwA5hEdI6sEZkG2ZOew/PjngOox6phWcfaUsLiJ9T6/Xo2Mu2Q+sxHqDYDig0IdL2uG1psi8ECpkAWWsa6QrOIIc1B04BDz76NeKaNsD3G9lhjWZpIddpIfeCZC8EhIAQEAJCwC0Cfe/piJ3rtmDKpE64tRWtZ667SKPNTHoJr40xKTu1rrnt6NatYiSySwQ05q6Pl1hATkcUdh+6jAcf/wF1m96AtRu2ISyiHJXI+biel0tVlEhCQAgIASEgBAqRgIiRHoLLa01yUOux8Bguhyqpx7DB/8PSOUvxxbttcXu7GjScSKQJMqkqjfwRAr5EgJca0NMaqAkpZXH/8IX4L6sUtuw8jAqVaZ1Ik+tvao4MiH2pT6WuQkAICAEh4P8EEi/Go1WTOOgvX8OqOX1xQ5VMs0ObdGq8WRzT1v3OMY6l05o+aXvc/7EVTQvz4GukmTLpxgo4dr4c+g2fh3NXgR2/HkCtuJuofiJEFk0nSSlCQAgIASHgSQIiRnqIJouRpvEZDQjsxEggLS0DPe9ohUPb9+ObuX1QL9ZIguQlBCrLSBoA8nRcCjzdRNaS9FCnSDYeJ8BThPQoi2uIobVQZ+KHX4HNv+xDvfoNqSweDJsfZlwQI+Va93j3SIZCQAgIASEgBHIlcPDgAXRp0wh1KgNfTh+GcuHXSJAkZcsPgrY8jL+ML3hEZRpZ0YwUclpzJbMMHhw2S63/uWTlYtx2V29zDI4lQQgIASEgBISAbxEQMbII++tCwil0aNMAEcZkLJ32P1Qtm4wQ2tbpMk21kKkxRdgbUpSJQF7iYfZ501pFwSREVsHbM3ZhypxjmDJrCq0TOYKyyjkQzu1BgM9xENFdYZA/QkAICAEhIAQKjYAjg7tVyxfj/l4P4sZYYPxzD9BMnRR1T9buz4VWGcnYLQJGsnLgCSe8NI4hIARTPl+Gnb8Bb38wAY+PGkN5yTqRbgGVyEJACAgBIeBVBESMLNLuMODIn4fRsUUDtL4RmDNlKEob4xGsu5JzvZ4irZMUVrIJZIuNjjlo7+VBFpHhtFZReXy78Sjem70PlWu1Qcs2HdG6TQe0bt0a0dHRjrOQo0JACAgBISAEhECxEHAkRnJFnn/uWXz43gd0Z7d9nVgs1fRIoWFhQEwMkJDAM5I8kmWxZsJ9x7Ou+JtWmVefEU8MwQeffE57/BI454tgOiBBCAgBISAEhIDPEBAxssi7yoBli2Zj6ICheKhHebzz/B0ohXgaTpgXEHc2aizyekqBQiCbAFtFsufs/afDaIrQItQhhzV39hyInbv20KD/PAICAlC7dm20adNGferUqWO2fMwWM7Nzky0hIASEgBAQAkKgMAnkNZxkK8jt236GUX+V7vBa7ILWSHvBqeXjrljmfnptajaXePz4USxYsABDhgxBjRo16Ejhl6+11PTtfv1zps+5p42gTLnqqJeC0L59R+iC2BN6ftvmbrqcdZI9ISAEhIAQEAKeIiBipKdI5pKP/ZRVPV4f/wrefW0SPnq5AR6482ZaP/I/GmLQmj3aeFAWCM+FqJwqMgK0dECWMYisIiNxOjEUfR5dhoAy5bFp6wGUq1BNVePkyZPYsWOH+hw+fBhZWVkoV66cspZs3bolWrRohfBwtr2QIASEgBAQAkJACBQFgeIbTmqCXH5Fr/yl57H27t27MWbM85g6dSrq1r05n5jzV352YQVNn52T/fMDnSu+js2umGwJASEgBISAEPAAgSAP5CFZ5EHAem08HkOwx+1Xxr+J/b9sxdh3t6JizHW4pWkErfySStZk2iAmj0zltBDwJAFn65XS4D7LWBpXddUx5s2p+PcSsGX9ehIiq1hKr1mzJvjz0EMPITk5GTt37sTunbuwbctWrFmzBoGBgWjcuDHatm2rrCarVMlO63CgbclZNoSAEBACQkAICAGHBPIQpYrvnXZ+RUitlflLz2NtfhnKFoOBgcFaZvn4zl/52QXlL71td6p9apNdcHDILo7VAdt8rU7JphAQAkJACAiBYiUglpFFjN96UJCeloyWTeOQduE8Vs5+ELUqXCPv2ldIlDQ7tCniuklxJZQAD3bNTmWsCfB0oCyy2U3TxWDiZz/i0/n/4PP50/Bg/8esoznepgvdQA8Fh/44jO3btyuryVOnTqm4sbGxlunc9erVU2Kl40wcHxUB0zEXOSoEhIAQEAIliID1gLIENTu3pm7evBnjxo3DrFmzUKtWrdyiet052+603c9vhT2VT37Ll3RCQAgIASEgBJwREDHSGZkiOW7AqZPH0bntjageCXw5dSgqhceT/JOUd+kyusibkcTIm4CtEGm1r0dppBujsej73/HsmwcxetxovDz+LcozHwbVdL0mxMdj+07TdO59+/YpC4bIyEiaxt1CiZOtWrUC7+cniECZH2qSRggIASEgBHyXgDaTJn+WeHbtthtX5szf7rRdBsV/YNOmTZgwYQLmzp2L6667rvgrVIw10PpLq4KbBpVaMvkWAkJACAgBIVBoBESMLDS0rmXMg4UtP63GPd3vxn23R+G9l3oqD9uBujSazq13nok2ypDRhXNGciZ/BIwByNIFksOaCth3NBMDRq5Aw3atsWzVFgQF5S1E2gqDap+uZhXMX2nk5nLPnj1qSjdP67506ZJygsOWkpoTnJo1a+av/pJKCAgBISAEhIDfE8gpFha4uXbjypz5250ucIGez2DDhg2YOHGicmJTrZppXWvPl+IbOWr9pdVWHhc0EvItBISAEBAC3kJAxMhi7gkeLLDoOHPaZDwz4hm8NKIWRvRvTzZp5xGkS5GFqou5f0pM8dajVl0ICZER5LAmHPcMWoKQChWxdechREZVtMehpaNRrq0IaR+ZjljF185zuiNHjihhkh3hHD16VOUVExOjnODwWpO85mRwcEHWgNJKk28hIASEgBAQAr5PwMHt1MONyilGejjzQsmO16l+5513sHjxYlSqVKlQyii2TF3ucN/rt2JjKgULASEgBIRAsRLI28ypWKvnH4Wz2MLB2pGNdct4bb6hw0fh99/24p2pX6JWbHX06FgVOmOWef3IXCwkrTOSbSFQIAKmqV4ZxlJINlTAqJdn41Ia8OOyjY6FSJuynF3fNtHsdjld3bp1UadOHQwaNAiJiYkWYXLt2rVYvnw5wsLC0KxZM2U12bp1a0RHR+fIxyUhNEcK2RECQkAICAEhIAT8iYDJgQ3cXovanxhIW4SAEBACQkAI+AoBESM91lPO30TmJtJYT5v4YPJMHDx4AE+P24Loj25B20blEGpMQqDOkRjpvDyPNUkyKkEESIgMCCTP2QFkFRmFSZ9twObfgOnksObmeg3sOeTxht7R6dxEee0cF8RC41133YU777wTer0evL4kT+Vmq8lt27YpUT8uLk5552ZhkoXM3H5j9pWXI0JACAgBISAEfJuA9fgxZ0tcGx86uk/nzMdDa1HmzLRQ9/xBjHTaL8473Iap7/WbTQNkVwgIASEgBEoIAZmm7bGOdjz4c9diKyHhX3RqXQeBySlYNutBXF8pTQmSOvJrDJ1WBlda25ZBh8e6sCRnRCKkXhdOQmQ5zF62G2M/OIEnxzyF1996j6g4eGfhdLRsgpjH6XyTPnnypBIm2UP3oUOHYDAYUK5cOTWdm9eabN68OcLDw/OdvyQUAkJACAgBIeDbBFwbHxbWfbo42X399deYMmUKVq1ahYiIiOKsSr7L9sd+yTcMSSgEhIAQEAJ+TUDEyGLvXvtB49E/f0PHNo1Rm5a7Wfppf1QslUjTtVPJ+ivTeW1JTFIhh2DpPLqc8Q8CtoNWo7n/ddr1YCtaW3nLtiZgRABdYRXx8/50DBn1HTrd0RELl65DYFAIRfNOwfvKlSvYvXu3Eif5Ozk5WTnY4fUlNSc4VapUsW6mZdvVlwSuxrNkLBs+RcDt/rX9wflUa/2/si53j8sR/Z+ZtFAI+DIB2//DlyxZgqlTp+L777+XF5O+3LFSdyEgBISAECgRBESMLPZuthcj2erxu9Ur0a9nL/TsAHwycRDCcA4hRnJo40xs1MQnZ+eLvZ1SgcIgYPtMnacY6aASWQgmF0qRiL8ahTv7z0epilWxact+l9aJdJBdsRziqVlsKclTuflz6tQpVY/Y2FjLOpP169f32DpStg9AxdJoKbTICFj62/YHV2Q1kIJcIeBy97gc0ZVSJY4QEALeQmDhwoWYOXMm2Kt2UJCDWR3eUlGphxAQAkJACAgBIUA+UvgpS4IXEjDgnTdewpuvvI1XnmqIEffXQynEk+dt83RtzcJN67081pJxMZoXcpAquUbARtS27XAdHVA/dXsrxwxdOZy7FoOBT8zE4dPATzt+xU31G1GxHNcmX9cq4/FYFjHIxZzj4+MtwuT+/fvV2pORkZFqGjd7527VqhV4n4Nt3rb7LhYp0XyRADkJI5Nzqrn97yK7OQZs3bpdXUN8jNcn5WtErpNsQp7b0vpB+38nO2eNt/bNZzq0a4/AYE6jpcuO73hLy9fV+I5zkaNCQAh4J4F58+Zh9uzZ+PHHH2Utae/sIqmVEBACQkAICAELAXltaEHhHRvZD1oBeP7lN7Bj1268NXkTGsRVQIdmFRBi+A9BOnJx7KaGnIdW6R2Nl1oUHgEH1wt7cc9CKNKM5fHGx8uw9w9g/pI5JEQ2Kbx65DNndx3U8PTs3r17q09qair27t2rxMldu3Zh06ZNCAgIQL169SzTuWvWrGmpmbtlWRLKhu8RUEKkfbX552I6ZcAbr72EN8a/TUtl0DH6iIxlz6soj7CcyO9aSEbGmLHPYPwb77pRPPeeJki6kUyiCgEh4BMEeJYE38PlPu4T3SWVFAJCQAgIgRJOQCwjveUCMFuykb2N1SDKgPS0a+jWviHOHjmBJbP6oX71qwjTXaKnsazcLXNk2ra39Kz31IMG6Cx2c2BRRY/Sap3Ixd8dwguT9uPFN17G6BdepZPBKo43/MkW5+0tGPNTP87vr7/+sjjBOXr0qGISExNjcYLTpEkTBAc7Z2Bdp/zUQdL4DoFdO7fits4dULM8MGFMN4QGZtBvJ9MiSIqsVTh9qQm+jvga1bIS4Rj/zjr8cRZY99MmtGvfkSqipbKvk/n2qv7fsz8rR4SAEPAXAjNmzMDSpUuxfv16f2mStEMICAEhIASEgN8SEDHSW7o2l6elCwmn0LJJbVQIy8LX0/uhckQS2bRdJUsdcWjjLd3nK/UwXWYBZBsUTJ6zy+OHPZfwyDM/ok23Vvh69VafWGOpIGKgbdrExEQlTPI6k2w9mZ6ejrCwMDRr1syy1mR0dLSvdK/U04MEkpPOoU7tGJQm5X7VnAGoEZ1O/++SIzFkIEC97DHAoNMs7eTbZHFYEA7ZnReg/qMy8TXSi7eAgCB6acC2kAH0ui6IXqSE40xiKO55eD7SaF24Xb/8iSrVa2dnYLOVy+3VJqbsCgEh4MsE2HnNypUrsWbNGl9uhtRdCAgBISAEhECJICBiZHF3s0tPSQZs2rgOD/S8Ey1vBr748FFEBZxFqO6y/XRtsYgs7h4t2vLzuH6U+EZTkulJ3lIvnpqtN0bi74uh6PnIEoRVrISt2w/6lMMaS2M8uJGZmYl9+/YpcXLnzp3gdSd5qldcXJwSJnmtyRtvvNHKctmDhUtWXkbAgHtvb42t6/bQ/7dd0b1VRfrVJJIQqVdyGIykUKp1WOXbYxxsrwDiq1O0yT7SireBkLMgmY5obD2QggGPf4fG7RpizQ97EBgUYpuL7AsBIVCCCEyZMgXr1q3DqlWrSlCrpalCQAgIASEgBHyTQOB4Cr5ZdT+rNT1gcbC13DId1aHW9TegxnVV8MmU1Ui5cgKd2jQiy8g0Ne1Ml2MNLHNG/KBsFbQ981mrM7Lp0wS4Q3PpVBbTsq+pQHqIZ3vaSCRlRmPE8wtx6j9g9YbdqFa9ptdjyG5H4VQ1MDAQ1apVU85t+vTpg86dO6NSpUpISEjADz/8oB5u2OLi9OnTMBgM6lxu07kLp5aSa+ET0GP6Zx9gxidz8fSQqvjfPY0RbkyktXqvkTRmoJ8bfch0T33rzPvyXXAeiiH9d6bjNd9MXHllSFvO3AcBJAoHUpzKlStAn3Uey1Ycp9UlstChUye6PNg6U4IQEAIlkcD27dtx5swZPPjggyWx+dJmISAEhIAQEAI+RUAsI729u3KoiHoMG/w/LJmzFNPebIl7utRS1jo8ddA6sGjDQRbwtqZSsrfVNUFrQWbR9OyruqoYPnYJVv6Yhm+//xq33tHbAse54Ket3lbyHvSZSUpKCtj5jfZJTk5WU9obN25scYLDTnNsQ16/Ree8bXOS/aIhYMCeXZvQrW03tG0MLPhoIMoEJCAoIJ1EMX3RVEFKMRPg/3PM/9/kuA+aTqvp2sYQXNPVwMBRs/HDLiO27P4ZTVq0z05nzkm+hIAQKBkE3n//feWsbtmyZSWjwdJKISAEhIAQEAI+TEDESG/vPJuHMPYUeFvnhjj2y2EsmtEbDa8PIEHyEj2yZSoLEm9vjtTPswRsLo9cMzc5rInG9C+3Y9yUU3hu3EsYN/51SuOKwFhyxUhbqPwbPHTokHrg4bUmT506paxPa9asaREm2VM3W1pK8CUCBly5fAltmtaEIekqvpn7MGqV+w9hAYm+1Aj/rKuz/+jI8jstqzxZeFdAz4dnITMkCDt+PYGKVaoSB8f/r8kLAP+8RKRVQoAJvP3222q5lUWLFgkQISAEhIAQEAJCwMsJiBhZ7B3kvsjDjhW6tGuMa+cTsHJeP1SPSiF7t2SagJvuRmvcL9eNzCVqkRPIvT+N9GCeior46Tc9HnlqJbre0w3zFn1Pglm212j1kE6Stgq5TP0u8qZ5eYG8tiSLkjw97LfffoNer0dkZCRatGihxMlWrVqpfVeaIUKJK5QKIw7/frIwdOADWDb/W8z/oC2tExmDEF0y/XKu0foZZmGLpgZL8C4CBl0YMgxlse23y3hw5A9o1rEl1m7aRpUMUhWV35R39ZfURggUJoGJEyeql4ULFy4szGIkbyEgBISAEBACQsADBESM9ADEgmWhPdw6tuJwnLcBB37bR1MJm6NuNWDOxw+gWtk0enBOIoemtMaWyRWp46SWo/kp15JYNryOgPP+5KnZemNZHL8Qgr6PLUWZKtdhw6a9Jd5hTWF0YWpqqvLKzeIkT+m+dImslsmBEFtKtmnTRn3YglKCtxEw4MO3x2HcmDcwckB1jB3eAaXADoz4d0VenDUxkv9vtXIG5W2t8Jv6aLxdEn9pLVyKfw1VMGnGTnw85wTeeH8CnnzmFb/BIQ0RAkLANQKvv/46jh49innz5rmWQGIJASEgBISAEBACxUZAxMhiQ59HwTbT0mx2KbEB3349H/+7bxA6NQG+/PhhtbZZoI6d2sjaZnnQLVGn0xGFxIwa6Pd/0/DrEWDj1s1o0boNMQigh3idrC1aSFcDW2QdOXJEeedmcZIfkPhYTEwMWrduDfbO3aRJE7X2ZCFVQbJ1iYAB+37di1s7tEKbOsDn7/dHdOh/CMEVWnhXE/nNGdG0YBEjXYKar0j29zkn2dhGNAYhAxFI1VXGI6NmYf0eYBU5nerUuavDDMRa0iEWOSgEfJ7Aq6++irNnz+KLL77w+bZIA4SAEBACQkAI+DsBESO9tYetHrb4wYkUI1XT7NmzpofkN9+YgImvvoah94bh9efvQxjOI8RI0wr5IVoenL21d4ukXuzgIcsYRg5rqmD0xOX4anUS3pv8DoaPfI7K10SWnBa5VpddkdTRlwvRBA3tW2uL7b52PDEx0SJM/vLLL0hLS0NYWBiaNWumLCZZoIyOjtaiy3eREDAgOekCbr6xKsLJQ/rKL/qgVqUM+uXwsheZRVIDKSSbgMv//9hGJMvILHbQpSuFUxdL4e6HlyA1MAg7f/0LVarXUgU4+11mly5bQkAI+DqBsWPH4sKFC5g+fbqvN0XqLwSEgBAQAkLA7wmIGOktXWx5uHIsEjmvpgH97rsLq5etxTtjW6H/XbE0vfAcRed8DNoKgM6TyxmfJmC5bBy0Qm8kS6GAGHwwYwPen/Uvhox8BB9NnkYxTWupOUjiwiF3r08XsiyBUTIzM9Ui+zt37lTrTSYkJCgL1bi4OMt07jp16ojVaqFeG6b/I/v06IAta3fSchfd0blpWXIIdpFshmm5C2VhnlOsL9TqSOZOCeT2/5xFZCRB0qhWTq6ALQeuYNCT61G72Q1Y99N+hIWEmn9L0p9OIcsJIeAHBMaMGYPLly9j6tSpftAaaYIQEAJCQAgIAf8mIGKkt/Sv5WnLfbEnPS0FHVo3xunDx7H089vRrG4pmmKYpB7Lsi0pvaWhUg9PErBcNlaZsrMaA60TmYYKWL8zEY89/wNadG6JZat/RnhomFXM/Gy6f33mpxR/SmMRS3Jp1MmTJ5XVJDvBOXjwoJrOXa5cOTWdmy0m2RlOeHh4LjnIKfcJZGLOzE/x1LBReG5YdTw5uIt6kROEq5SVk+tcrM3dx+yBFI7+n7Nka90nFDELpen/vmgsWHUAz006hOfGj8Yr4yZSdPZuL2KkhZtsCAE/IqDdZ0ePHo309HRMnjzZj1onTRECQkAICAEh4J8ERIz08X7lhzQdPTgfOngAt3VuQqtmAd/OGYxa0ZcQZryU3Trbtc+yz8iWnxHIItuuTETiVGI47hy4CHoSIHfvO4rKMdXJcihnELE6J4/i3uMHqpSUFCVMsgOc3bt3IzmZpgwHBqr1JbW1JqtUqaKqqj2AuVJvR3EdHeO8nB13pZyijeNENMyzErRO5J7NuKVDF7RvDMx9fyAiAxIQYExDgI4c1tgE7Xej/V5s922iy24xElDLU9D/gdcQg5HjluKbDalYtmoRbu/xgINauXv9mOLzCx8O2vXgIGM5JASEQDEQePrpp5UV9IcfflgMpUuRQkAICAEhIASEgDsERIx0h5YXxrV+KN6xdQPu7HorGtQGvp46CGVDLpB93FV6YKKHaxsxksUGDjrzWpRe2DSpkhsElHhElj9GXQA5ciiDi6nlyGHNPOw/Caz9aYeysOPstOtFy1oepjUS3vmdlZWFQ4cOqanc7ATn1KlTqqKxsbGW6dzsqZvFypIZ3BWTmJIBqSmX0aLxdcj8LwXfzB6AuIpJJF9Zvbyxgan9brTfi+2+TXTZ9QIC6SiPc6kx6DNkBk5cBA4dO4NKlavQPc/6t+Lu9SNipBd0rVRBCDglMHLkSDWL4N1333UaR04IASEgBISAEBAC3kFAxEjv6AcP1UKP+XO+wIjBw3H/LcH46PUh5NDmtMkrrIdKkGy8jIAmJisnR8HQk1fZa6iKx8d/g2/Wp2DuV7PQ94HBYsLjZd3mbnU0S8X4+HiLMLl//37o9XpERkaqadxt2rRBq1at1L67+ft7fI2fafp1Fgb364uVi1fiy8md0KFxNAmRpmUtNA55iY15ndfyke8iJkDrRqpAL99MFuJl8OvRdPQeugYN2zbDmo1bERBI60dqNo2aulzE1ZTihIAQKBwCI0aMQNmyZTFp0qTCKUByFQJCQAgIASEgBDxGIHA8BY/lJhkVKwGjUYdGTZrjyJFfsHzVn/TcnYiWzepkrx1pJKcMmnhVrDWVwj1FwGQRybkFkruNUKTSOpFTZm/CF0sT8fSYURj59PNs/uqp4iSfQiCQLZQ5z1z73bLweNNNN+HWW2/FfffdB3ZyExAQAPbOvX79eixevFhtJyUlKVEyKirKeaYl6IyJn8mqbdaMj/DRxCkYNTQO9995I8KVwxo9yVOaxJgNJq9fTl7ns3OSraIhYO4RHU2kphc0gbp08lBfHlHRpTF34V6yHE9Fxy7dqSpavKKplZQiBIRA0RBYuXIlIiIicMsttxRNgVKKEBACQkAICAEhkG8CYhmZb3Tem5Ad2vTq0Q07f9iFOR+0xy1tYhBqTCIfyqmq0q6IH97bOqmZHQH2IkvTs1NREcu3XMSTY39Co9YN8f2GHQgNK2WJzlKLtXgi14EFjc9vcF/+9ddfFqvJo0ePwmAwgNeW5HUm2WqyadOmCAoqiCd178OkyYfW17XzWhpw8sQxtG5UB23rADM/fBilA84hRMdLWWjTdbXU5n1VAFnbcQFsdWez3IUWW769jIDFQlJHy1aEk0ObKnj61Tn4ZhOwYuMGdOrclSpstqJ0q+radZKftG4VJJGFgBDIB4EhQ4agRo0aeO211/KRWpIIASEgBISAEBACRUlAxMiipF2EZZ2LT0ArWhMtJCMTi2b0Rt1qIEHyCj1M6+kRjJ6wyYoSZD0i377PIUsXQtOzI/DHWaDX0G8QWr48ftzyC6pVr2m54pSmQnusqUjwXQKuCsiJiYlKmNy5c6eylExLS0NYWJgSJFmY5E90dLTvgjDX3J3rOjPtMjq3a4B//zqDNQv6oFalDIQYk8lwONMBBxEjHUDxnUMWMdJAzpiCkakLR2JaRdw9eB4SkoE9vx1Dleq0uLLbQcRIt5FJAiFQhAQefvhh1K5dG6+++moRlipFCQEhIASEgBAQAvkhIGJkfqj5Qhp6St+/dxs6d2iPuBjysD1rCKLDr5inbGfQAxqtmsVipLIO4QcstvSQb1/kkEkOa+JTKmDQE5/iCAmSP+34FfXqNzL3KX1JKNEEMjMzsW/fPuWhm53gJCQkqOUa4uLiLE5w6tat6+eMDOjXtxt+XE5LGHx8Czo3LUeLGlxEIC1d4dDa0ZnKaSVy+Tkw/2ke9RlN2Eaqrjx+OZaFB4euQOvubbBk+U8IDAoxtdNZf/sPBWmJECgRBPr16wd26vbSSy+ViPZKI4WAEBACQkAI+DIBESN9ufdyqzs/XNGUwu9Wr8T/evZC3arAuBduoUeyTLKOc2QJlFtmcs6bCWQiCmPfXoOjZ4Bps6dhwKDHvLm6UjcHBJxZPDo77iALdciV+CdPnsT27duVOMmeutljd3myptWmczdv3lxZUWrrVDory3eO6/Hp5Hfx4pMvYezwWPzfwI40cfccLVtxlV7KGJUwa9cWZ+KUiJF2qLz6AK+Xy869KGTpInDNWAFfrtyP5ycdwhsfvI4nRo2hM7R0gbP+VinljxAQAr5C4IEHHkCzZs3w/PO0XrYEISAEhIAQEAJCwKsJiBjp1d3jTuUcTx8zkuXPKy89h/cnfUhCpCnIalfucPX+uGTbRc5rgFGjn8Ckdz+iLelh7+8176hhcnKyEiV37dqF3bt3g/d5XclGjRqhbdu2ynIyJibGsWBnbgILehxsxUtN6NO+zdEL+cv2/0EDWYhvQdf2ndGc1olc9OnDiAz4l+QnfinjxCqykGso2RcDAbaOpHV12cP2NcTgiVeXYtWmVGyma6N+47ZUodz/zxStshj6TIoUAvkg0LdvX/VibfTo0flILUmEgBAQAkJACAiBoiQgYmRR0i7UsmwfwnMWtnXrVuj1LFlpD11a/JzxZM93CXTo0AGBgZrk7LvtkJoXDwG2kDx48KBlOjdbULLAGBsba5nOzdPfvP8a4//b+P85Wi9Qn44GdWOQEn8F38x5CDdXv4Ywmp6tnNEwZnFIwxT8PhgNvCwJrw9sQDpZkp9PrYo+Q2bgMoLx47Y/UK1aLWKg3RvtcYgYac9EjggBbyTQq1cvdOrUCU8//bQ3Vk/qJASEgBAQAkJACFgREDHSCoZfbNo8Ndns+kUTpRH2BIrW+sy+fDnifwTi4+Mt3rn379+vXmZERkaiRYsWSpxs1aoVIiIi7CwiC4OEO9d3dlw9nnxsMOZNX4DPJjRGz25xCEESrx5YcEdOMl27MLrZA3lqL9nMwqLVNG0t8ywSIPXGsjh42oh7hqxEg3Yt8N2an2n9yHCZra1Bkm8h4KME7r77btx2220YOXKkj7ZAqi0EhIAQEAJCoOQQEDHS3/raDfWRZ1fys5oEISAEhEBuBFJTU7F3714lTvKUbvbWzRaSbCmpeeeuWbNmblkU+blvlszG0IeG4PGBsXj+0fYohXiyfePp2ZpgVYAqiRhZAHiFmVTrW+dWjly6ka6EVFTG7FUn8dJbezHurbF4ZswEOsPObui+yJEkCAEh4HME7rjjDtx7770YPny4z9VdKiwEhIAQEAJCoKQREDGypPW4tNfvCGRbgokfBr/r3CJokPX140pxHP/IkSNKmNy5cyeOHj2qHMHw2pKaE5wmTZogODjYleycxnG3XtkZGXD82F9o3+wmdCWn8pMnPoyIwPMIMaa4MC3bJGaxWMUhW7g07bvxrie7OrLllQQyEIE0VMLzby7E0g0G/LhrDxo1bkp1NQmSXGlbUVL63yu7UiolBBQBvmfceuutYCc2Q4cOFSpCQAgIASEgBISAlxMQMdLLO6jA1ZOnpwIj9KUMpLt9qbd8u66aWHjx4kWwteSOHTvwyy+/IC0tTXnjZo+mbDXJAmV0dHS+GjtnzhwMGDDArXUqjfqraN+6AS7+fQJrFj6AalFXSIikqdm6TBfUehEj89VRPpjIqNwYheKKoQpufWAu0kPKYu+B4wgrXZ5USB1ZSLIknVOOlP9ffbCjpcolikDXrl3VPWPw4MElqt3SWCEgBISAEBACvkggyBcrLXV2g0DOZyllwWTr9daN3CSqlxOw6W4vr61Uz5cJaP+PVKhQAXfddZf6ZGZmYt++fRYnONu2bVNrSsbFxVmmc9epU0cdy6vtLGzOnTtXOdWZOHEiQkJCnCYhVzVm4ciA+3vfgT9/OYGZH3RBTFQWAo3Xsi0c8/yBaBaRWlGmfW0vz+RaRPkuWgIuq4TZ07h1RgOCdemICLiMqW/3xIDHl2Pk8AH4YsH3qu7k8sauDfZH7KLIASEgBIqJAL8g44/3O1krJkBSrBAQAkJACAgBLyMQOJ6Cl9VJqlOIBDQBoRCLkKyFgBAooQT4IbBatWpg5zZ9+/ZF586dUalSJSQkJGDjxo1YvXo1VqxYgdOnT8NgMKhz1tO5NWtLxrd27VocOHAA7EiHvXyzlWVYWJgiax2PD5iEIz1mTf8En70/A48PqIgBvZohzHgJQbo0iqCpVSq5/PFXArmphWqBZJNYodPxVGwDieJ8XRgRXS4SVauVxjsf/YzgsCy0bd+RjucUov0VmbRLCPgLAb1ej/nz5ysnaw0aNPCXZkk7hIAQEAJCQAj4LQGZpu23XSsNEwJCQAh4D4Hk5GRlMclTunfv3g3eDw4MQuPGjdGqTWu0bdsWVapUsVT4iSeewOHDh5VoyS9R+Nz7778PXpvSPhhw7M996NCiOVrWB2a/OwBlAs+R5+x0Eir19tHliBAwE+Dp2uxhO1VXDWPeXo2FqxPx046f0Lh5J6eMNGk7N+3TaWI5IQSEQKEQYEdrd955J0aMGIH777+/UMqQTIWAEBACQkAICAHPERAx0nMsJSchIASEgBBwgUBWVhYOHTqEndt3qLUmT54+pVLFxsYqC8imTZvipZdeAlu6aIEFycjISLzzzjvgqd7ZwYDM1Gto2zIOKf+ew9LZ/8MNFZMRiosURazbsjnJVm4E0hGF/wyx6DXwMyRmhmD/H+dRqnSkw2tIxMjcSMo5IVB0BC5cuICzZ8+qAlmMfPHFF9G7d2907MjWzaZQsWJFZbGv7cu3EBACQkAICAEh4B0ERIz0jn6QWggBISAEShQB66nWPBWbHeDwZ//+/TlESFsoPBV8wvjX0LZdO5p+zWsAZqFf33vx3ddrMO/D1ujWKoaEyCvKKtI2rewLAWcEsuiqyUQkfjuhR5+h36HDHbdi/qLlCAoOt0tife3anZQDQkAIFBkBvmfwiytngX+rbFHPDtUkCAEhIASEgBAQAt5FQMRI7+oPqY0QEAJCoMQRsBZ32Bv3W2+9hc2bNzvlwEv9DR8+HPc/eB++X7kYD977Pzz1SG08P7Q5ShkTyB6S1gOkjwQh4CoBdoFkoE8aKmPpxgQ89epmzFsyC/fe9zBlIRa2rnKUeEKgqAjwfYPXHu7WrZsqkq3ned96bfTw8HCsWrVKnNoUVadIOUJACAgBISAE3CAgI2w3YElUISAEhIAQKDgBfoi0DiZHIibxkJ3U8NQ76wdK67i8baTF+qZ+Pg3Dhg3DkIH/Q7tGwFODOiPEmCJCpC0s2c+dgHJsw06QWIokD9u4jN7daqL/3aF4dMgQHDp4gNKLsJ07RDkrBIqeAN8j2FK+e/fu6n5h/VKLa8Pnn3zySREii75rpEQhIASEgBAQAi4REDHSJUwSSQgIASEgBDxFIDehkdf9+uOPP9SDZNmyZZXH7apVq6JChQooU6YMQkJCVDV0NKn29LH9uKE6MOH5HogIvIhg9pxtzPJUNSWfkkDAShhnQTKYbCPDcA4vPdUHFUoBvXt0wIWEMyWBhLRRCPgkgS5duoCFSO0ll3Z/KVWqFLp27eqwTVpchyfloBAQAkJACAgBIVAkBESMLBLMUogQEAJCQAg4J8C3ItPtiD1oc+DpdpcvX8b58+eRlpaB6OiKuPnmm5UVzMAB/VCtUiRO/vEr7r+rAeKqhpKIlAydUU8iZpBKLw+bCoP8yY2Aka45+lhfKzqjSZAsVyoNn719D64mpGDsC0/mloucEwJCoBgJ8HqQ/KKKrSQ5aL/nXr16WV5eace0amqCpbYv30JACAgBISAEhEDREzA9tRV9uVKiEBACQkAICAE7AmwBOXHiRJQvX159oqOjERBg/d5Mj6/mz8LqZWvxyH0V0b9nK5TGWQQaM7Pzomnc8rCZjUO2cieQ41ohp0hsIRmCFDStE42XnqyLF99diY5dPkX/QY9RRjJsyp2mnBUCRUuAreXbtm2LdevWqYL598yfvn37WiqS4zduOSobQkAICAEhIASEQHESsH7CK856SNlCQAgIASFQYgnwmnymdfliY2PRpk0b1KlTBxUrVrQRIoHf9+/B48MeQ/MGwHMj7lBCZLAx1TQ9m71rKw/bJRakNNwdArlcL4FIRzgS0b9XS/S+PQIjh43Ewf27zNep6Xplaytbiyt3ipe4QiA3AnldW3mdzy1vZ+cKI8/CKsu6rixGavv83bJlS/AyHwUJWn4FyaMgaQtSfkHSFqTOklYICAEhIASEgDsExJu2O7QkrhAQAkJACBQCAZMQqU3VdlyAAVn6DLRuVgvJZxPw1Yx+uCkmhdb3u2iKzj5xyCJSghDwJIEMXTTOXauMngNnwFimPLbsPobSEZrIkf0+lx/+xfrKk+QlL3cJ+NI1mJ+65pYmMzMT9957L3jNYQ6zZs1CrVq1LAhzS2uJVEgb1mVbb+dWnKvxcstDzgkBISAEhIAQ8HYCMt/I23tI6icEhIAQ8HsC2aKO86YaMHzYQPx1IAFfftIOdWJSEWy8StEprbJwc55SzgiB/BIIJA/tFcMD8PbLXfDAyE14bOhALFj0LWWXc/hkLUSKkJBf2pKuIASsr8GC5KOlLeh1nFt6Z3VNSEigNYLJEVkugdcSTkpKslhCalGrVauGY8eOgR3XnDp1Sn20c/wdFRWlPtoxroNWR/7mEBQUhJiYGPWtxSvot3Vbrbdzy9fVeLnlIeeEgBAQAkJACHg7gZyjaW+vrdRPCAgBISAESiABAyZ/OAmL5yzFY/2qoWOL6gg1JpAhJHvOFnPIEnhBFFmTeS3SACShTaPKeH5EPbw5ZTU+aDwez4yZQHVwLKKLkFBk3VPiCtLEM0833FG+rlzHWVlZuHDhAi5evKg+XC8WFFks5GN6vR7nzp1TAiOLjHyOwz///ANOm5ycbEmnThTgT9WqVXHjjTfi0KFDYA/bjgK3SRMeHZ23PsZxeao3i5gcqlevrkRKXtc4IiJCHatZs6bKjwXMyMhIVK5cWcXRhE8+HhYWpuLKHyEgBISAEBACQiAnAZmmnZOH7AkBISAEhEAxEzDZqGgyowGHDh5At7ZNULsisGTGAESHXyIHI1eolqbp3SJHFnOH+Xvx5HE7QxeBVFTBo8/NwrqdwLb9+1CvfkNquWNB0t+RSPuKn4AjAbGgtWIB8eTJkxYxURMWz549qwTExMREi/iYkpLiUnGaIMdWhyzocdCEvdKlS4PFPS1ocbV9bmONGjVyWCo6ExQzMjIwe/ZsDBs2zG6tYS0/62/O58yZM0ow5W0OPN2b28wiKgdur9ZOFlD5OJ9nYZW3+ZgrgQVJbpsmUrKIyQxY7OT28zkWOOPi4tR2XnlqgqpWb2fxC+MacVaWHBcCQkAICAEh4C4BESPdJSbxhYAQEAJCoMgIpKb8h7Ytb8KlM+ewYlYv1KmWhRBdCtjBSE7RssiqJAWVQAJGYzAydeG4mFoRPR6eh/Tgsti17xgiymYLKSUQizS5mAm4Kjbx9GUW0fjz559/qinMLLT9999/6pi1JaOjJkVHR+OGG25QYhqLZ/xhYS0wMNCyzcdYcGTHYyyyscDG+0UZTp8+jeuuuy5Hka4yypHIzR3myqKlJk6yqKvts2h59epVZQEaHx+vtjmeJm46KkoTJ1mw1ARMFmVvvvlmxZXPs3BZ1Hwd1VWOCQEhIASEgBDILwERI/NLTtIJASEgBISAhwg4c2BjwLCHe+GbeSsx+c22uLdLdXJYc55s0bJocraWxlQF9x44tbRi1eahDvTLbHKI3WQdaVQSeAXsPZqJfiNWoH7bZlixdqcIAn7Z+77TKBa9WPxicevgwYNKXOSp0UeOHFGWf5pQxi3SrApZzGLBsFKlSmpqMQteLCay6Fi3bt0coiMf94Xg3j2gcFrkbh1YBGZBmC1PeZtFY/7W9rlftf7ThE6t5qGhoahSpYrqN+6z2rVrq/5r0KAB+MN9KUEICAEhIASEgDcTEDHSm3tH6iYEhIAQKBEEbMRBpQLpMX3qxxj9+Gg8NTAGzw2/HaXwL7kNSSYiBRURbcorEYylke4SyCFGcmI6kIXSuKariOlfbsdrU07gzQ8n4omnn6OTRWsB5m5bJL7vE+CpwSxW7d+/X4mOvDYiWzmeOHFCrb9o3UIWEFmg4unALDzGxsZaREY+rq15aJ3GXSGN03IaDnlNF1aR6E9eZeR1Xssnr29X83E1Xl7luXM+v2Wy6KyJlfzN/c/CJU+rZxGahUsOmuDM29z/9evXV33P/c4CNO+LVSXTkSAEhIAQEALFTUDEyOLuASlfCAgBIVBCCRgtaz6axEV+rDWt3GXA/r3b0L1DR7SpD3zx3kBEBSUgODCDnmYzPUbLaCQLSx2VqArmkk2lWwow0Ak+b3NYnafjBoNBpddOmx7L6Sw9oLv0cK4l0DKwFFy4G0aDDroArXADNV8TdwPMPNgxkCvBJOoajZQfc9KClrXVIYqguGhRTN82ojBZH6rA3tEp2D608z4H7WE7R5mmEw7KoEMqleNuNJ9y+ctIomMWQnEVVTFg1Bz8/AuwdtN6tGnf3WkenizfaSFyosgI2F6Xni6YRaV9+/Yp0fH48eP45ZdflOjIYpQWeHouW8KxBRyLTCw2suioCZAyfVcjVbK+rYVJXg/zwIED6tph0dLaspLXsKxTp466fho1aqS2mzRpYlnT05ZaYV/ztuXJvhAQAkJACJQMAiJGlox+llYKASEgBLyQAAlhSrgLVHVj0YanX19NuYIWDWKReekKVi8cgprlE0n+uUQnNfHKk02hPC1qEU/FDaAaBMOgCyOxMZj2TXUj/S7XwKl0yKTY/EmnbZMDhFwTWcrNNZbnT7Lox2KkEvdyipGqMCO1WUeCqpHY5Mpc6w9NzDRX1dSRaoeFOz1ZE3IIIgmP2WQHm/Q2YqSKxyImwddzv1CfGMl1EfeJJqiyR3UT7+kPwL4AAEAASURBVAyKYT99n/MoDMzpKI/Tlyuh18AvoC9VCrv2n0LZqPJUmg2LQiqf2yWh8AkUVITJLT1bOrJFG3/Yyo2/2eqRp+VyYOtFFhd5Dcbrr79ebTdu3Bj8cWTZWPg0pARfJsBiNlvS8jWmWVXyPl93mtDN0/XZcpKvMRYr5Xrz5R6XugsBISAEvJ+AiJHe30dSQyEgBIRACSKgR59778QPKzfgswmN0bNbHEKNSQjUpXqega1KRcJXljEEmcYo/LzrL/yXVppEsHAqVxOYTOJZtiVgtpgWSL6WQ8nDd6e2NBUuJFkJbwWusKV+Ocu1HHa3AM06Ufu2pM9uBztqYQGRQ6AuLYeo6na5JC6yaLflQBL+/vtvPNSjASKCk5XgbCmaN3LLmPIw6sibNSKQhoo4cyEDp878h/hzFxFTKRq1Y8ujWkUdXSNXiHkyCZOZuWaXo9wC7DCjTJTBnj/T0HPYWrTt3h6r1myiHGW6dgGw+lzS3MRG68awtSOLQPxhazW2fGQhSPPaXLOmaTotiz9sqcYiJE+lZQs2CUKgsAnwtG8WJX///Xd1ffI2H9OuT74W2XKyYcOG6vrMzYrS3bq6+htyN1+JLwSEgBAQAt5PQMRI7+8jqaEQEAJCwD8JOBChPn5/Al4ZPQ6D+lTCm892R2ldAlnoZdgLWB4hQhaAbB1osRKEsuJLNcbg9r7zcDSe90mUo4+1YSRLk5p8x7oeq18chyW8DSvuQs0KegSRx+8CBwsfewtSztu6Tvkty/QgaKQmmKYfZ+kisPPXEzh54hj69W6XQ1S1VCevwkhAVGId5fV3gg539f8WadeAXzfchZjSV6jeXHOrqeDOMia4emMYCZFROHTsEiZN/hE79pgK15Iw99bNgLGjb8dNsWFk03qFRFQ9dStbSRZiMIuk1xCD6cv+wrgP9uHVt8Zi9JgJVKgmXhdi+ZK1RwnkJojkds5RJdjK7KeffsLevXvVFGsWdnj6rBbY8qx169ZK1BHLM42KfOeHgLvXpjtlaNfxrl27LEK69VRvXpe0W7duuOWWW9C8eXNlUSnLA7hDWOIKASEgBISAiJFyDQgBISAEhIBXEPhl7250bd0KLeKAhZ8PQlTIBZqUy+KVJv2Zq2ln2eeZ6vODXaauLE0mroHb+0zHnyRGsqJVjlTGYHMRPF3bstwiHeN9nskcSN8sRq5Y0h01KrC0d5X2chelNEGNkjoOHmunxs9cHwf5sgUoWzG+/ckSzFoE3N+nFCY+eyt5L7/guG5WR3M8ELNIpyZO8zTm8uj/fzNx6P/ZOw84KYqti9/ZXVgWWHKUICgIKkmJIqCACCqCiAkDCoIZlU8wPSP6DM+ED+NTEBBUlIxESQrmAEgQxYBkJGeWTV+dmq3Znt6etDuzOztz6ufQ3dUVbv2rZ6QPt+pudLNZs+ByqVl2F1aAu6FZ2nA6xZL5Y1JZvlqbJf1vnynpShkupSC3bSZS5ySRzdtEvlspclhtI1paTdDEN7pI2zPLuQVJr+XgTq2HIU+N9YQSXI9JTbnhzjGyaIXIgmVL5NwOnVTj/uc+DL2ziQgTMM+1OfrqDqLN9OnTxSramGWv9eq5PR5btmypBRuIj7Vr1/Y0FahtT0GekEA+CIT7+bJ6+GIvUwjtxsMXXrwQ2q0CJZZ9M5EACZAACZCALwIUI32RYT4JkAAJkEChEdi3e7u0atFQ5MgRmT32SjmlGvZeVF5udlHJQUgLp5En1BLtw666cmHfN+U3JUZ27FhH/vefQWoZ8G4lskF5xF6KkA/hTZh7jQXJSXJUiaeHlBi2XwmWaomzC357vlNAMdJU1V54uIDApfamDFLMM9XN0QSqySPuqgJYBn3MVV2uGTRevlsrcm3fk+S5+zqq3R63mOp5j5a5cO+1mag9SzOyy8k3q3fKA/9eLL9tFiXWid41cu2CK+QkLUYqcdTvXpSg6967c89x5X3T72P5e6fIGaeKjHz+Zml4Ukn9XGAPyXV/HZZbho2XrUqYPL2WyPT3r5WKpfZpETuvweHPyVSznZmdKn/vTZFLbvpY0pJKyA8r/5CqNeqEvzO2GBUEIDQuX75cvvzySy1CYjkr9n80YgwEx969e2vvR3iPBUpWwch6bq3nKx9l/N2ztsFzEvBFoCDPEL4P33zzjcyfP18f4RGM7wMSlndfdtll0r59e/X/0o4SzPfBl43MJwESIAESiD0C3Nwo9uaUIyIBEiCBYkYgSwYPvFr2bz0ib7/QSXkWYtnzQSVH2SNnKxFLK3hh8jqziGl2YOgBkmOJ7MNSOnurlJat6krlIqhLjihovU5wqWXB2RmqDkKtIEp3rhDpS3RE+15JiY46WYU6LUS6w+PA3xJiZCL6snuLejXkfZGlAtK4lFVZau9FJHDV9WGYXqbutiQL7RtjdckAfyDaOJKqrqxSrabKnuMV5D9vLJCJU3dKBlChaVUsb7PgY1mqra6sCe0h8M2yb9fLJiVEwvP0pcd7SZNaB5T8d1xNg1q6r/a3bFqvsjz/6JUy8PZP5E81RV+t2ioXt6nobso9LGuzYT/HnJdQAnStysny0mNd5Ob/Wyw333SlTP10uXDJYthxF1mDEFvmzZunBUiILYhOjCAyWJ7ao0cPvVT1/PPP99rjEQJPMMkaFd56bq3rKx9l/N2ztsFzEvBFwOkZClagxPcA3pD4IEGcxDYF8BTGd2Xs2LHy4osv6u8GtifAp3v37tKhQwf+RvqaEOaTAAmQQJwQoBgZJxPNYZIACZBAdBLIkDdfe0UWzFomw26uJd3anyzJrp3a883RXi0gOt4JPTMIsSDBlaaWXx9Wn/3+2ze6Q454eELJl+lqr0PIcCXELaBpITNHaISwmKXEtAyXO9o0xEH0oT1BVRuZLnVPLZ3OdKmPOm7d/o9s3LRN6p5cW2pVrywlVHAZd3TqY5Ko9keEp6HZ9xHenVgqbYL+pLvKyLYde2TTln+k/il1pHqlssqmI+pzWBISVMAXV5LamzFVL9M+psaBfTJPqOAsR9XyY0QI99jlh4BemJ6eJFdf+778qoIBo432rUpIx/MvkidenJm3JtgHIRauWvGz6l+krlqW3bRBGSUMb1MiZI5npXoWsrKTpGWzhlKmtHoJVvtSrvttq1zUpnLe/iKUk6DdVNO1J+b5rWvJ/91ST55581sZNfJZGTrsIdUr/5oVIfQRbXbXrl0ye/ZsmTFjhvaCxPJUJCxDveuuu6Rt27ZafLEHmLEKOE4CTyhGW9uy1vOVb8oEum/K8UgC/giY5zfU5wniZM+ePfXHtL9w4UL9PcL3CcLk888/L2XKlBEI+H379tVl4TUZal+mfR5JgARIgASKJwH+Lbl4zhutJgESIIEYIJAlSxbOlYeG3S8tGovceWNXHbDGvTTbeCBah6k8+4zoZ82O8DlekCCcmRclY4KTlobIzwje8r/3F8q/38yUkiVEvp59uVQvkykJLuWRCPFKtQchMs1VQd6btFSefnW3lFNBu7/69BKpXPqEuo3ALamyN6OmvPLWNPlk1k45kBMPxyWr1UucSL/eNWX4rRdKaom9SpxT+2oqY7JcJeX7Nbul7+AFUra8yOdz/yUffPCBjP7oL9mmtBTY7ZKfpG51kace6ibdWleSEln7lSCaIi+/PU1eHZ+p5El4OYqMm7JeJqlPVaUErlpyuZJWlXuiSTkenNnaA9RNAZ6Mx9MSZbsSImuovm+64WS58dpe8tkXq53lOKv3p2nXcgTFRCWYXtenhbRpeUQSlWskRFGPEGkpm5mZKek5TrQlEpXI65kYjATJ7RHqPld/+ptAT6HAJ9bnAc9simJ0xw3ny49rJ8ojwx+TM888Uy686PLADbFEgQiYebA34ivfXs5cw9sRez/CkwteXVhqary+sOz6oosukurV1ZfHTzICjp8iQd/y1ZavfNNwoPumHI8kEAyBcDxPxnPyiSee0F7Fc+fOlTlz5si0adPk008/1R6S8DK+7rrr5JprrtHLuX19f33lBzMWliEBEiABEoguAra/oUeXcbSGBEiABEggdgnA2+jG66+Usur/RC+P6Cdlkg5obz+X8suLlpSVnaxFw+NSRR2ryrHsykp2UufqgzzzgTciREiIcmpXR+l+cR9VXuSAEsnmL10j6dll9D0IkUjwfETAmGlzd6uj2puyazUpmVJO7T+YpMqWlY070+WaAW/J6A/dQmS9U0TOP6+i1K+vPADVJoxjPtguVw0cJ5v3lFRiYlnddqYSMTOVFyRC5xxSn+dHTZYXX/tLDqqLxg1FKqvVy5DnNipd8Zb/+0zmf6HsSiinPCNLCAIN1FXbHJYsqQqopJxb9HUdX1sfKjHR+pKKsDUlEjPk3jtKycJp18rgazspAXO78hhUAqK7yZw/jUDolZnnAp6iWPjd4OQKcmHHU6Rr+/rKk1O5PnqiByUqlImKeSn55odfJU1xxl9omp55sjr6Xv6dp6MCZFjH71JL5+Gpmix75In7rpXqqSID+18tO3daRNwC9MWqeQlAlECyzoO1lK98axksKZ0wYYJ069ZNqlatKgMGDJBff/1Vrr/+eoFgAg9JCCY33XRTQCHS2i7PSYAEnAng/zX9+vWT999/X/B3gM8++0xuu+02QaTuIUOG6O8h9pccPXq0vm9vJZjvtb0Or0mABEiABKKTAMXI6JwXWkUCJEACMU/g9tvvlL070+Tlx8+RM2qnq/0ZIaMh4X9N+EC4Ck68UgXDmtArpI5Dx0vJ79tLyC/by+vP+h0VPOfrtpVV56n6+vedpWT/sWRVJ0GLaDWrlJJO55RQ5yKz5vymoi5XlqysHKVP5WUpme6Xvw7K6t/ckbovv6SdGn+aFjSPuWrKky/NkXV/ilRVAuL4kZ1kyYSbZNyzPWXRxIHy4esXSg21EnnVHyJPvzZPiZ7llLFY6KDESPWB3fsOiLz/4a9ytYqK/c3sG2TBuP6ycs7NMnFUVx15Ok0N8O0J65QQWkEt806Xgdd0ltmThkvLBipitarft3tjWTTpXpn9fl/tkaiycpOXV6N7fuAZWCnlqNx6fWcVQGaPqrNbkbDv+ZnbhPsMdd317XdwDUHS7SGZpjimub0ic/apRPCgdGXpkcwy8p/X52j5ul5NkbNPr67qKO9S3aB5jmytQx31VkhtBUK71E1p71mXFiTrVz0iLz/ZUfbvztAiVmitsXSkCWRkZGgPyBtuuEFq1KghOO7YsUMvv/7666/lr7/+knfeeUfva2ddhm3Ez0jbx/ZJIF4I4PsFr8lRo0bp792KFStk2LBhet/JwYMHSx31r2FXXnmlfPTRR4LvLRMJkAAJkEBsEeAy7diaT46GBEiABIoFgc8//1wmT56sQp6IdD2vtSRlb1AiUnS9bEAm++qH7XJJ3/8qrzzv1b1uscuNGmIUZMZnH06Vvj3PUWXTlQPfUbmi57ny1VdL5buVIpt2ZUqDKiXVOFVNFdwGHn0z5n+jR9yotki75rVUnU1apFz63V+y8Et3eJfHH71MOrUpp7wM1V6JqnRmdoqc07y6vPjvS+XK22bJjAVHZGDfTdK2CfanzPVWxLLt5meKPHzfQCkvf6to4PtVn4lyXss6MqB/M3lzzM+ySkXN3ncoU8qUVdKoEoKTXYhC7RZHERUcno0p2WrdtY+UrfaqdCUowQ9DUrapnSc9JbFkPD1nObcnM9QTNQgsy070wMaMKB9M5RF5QnmAHsuuJg+PGCO/KVE2SY13xL86SWpJtQ+m9jUNtbN8lgfoHA89HBHQJsl1RDq0a6bsWKaDniCYA/ZGYwovgVA9pNavX69/c9566y3Ztm2bnHzyyQLBA0tDsUTUnuzt26/t5XlNAiSQfwII+IVI9PggrVmzRsaNG6eXcePvCsOHD5ebb75ZrrjiCr13a/57Yk0SIAESIIFoIQC3ASYSIAESIAESiDgBq2fReeedJ7169VQCmciS5T8r+U4tUVaBVLyTD88270IRu/JoYKoHX+eQx6z3jDHw5OvSvpFUU/snYhn2jM9+UHsZKp9DJURiAfKJrGSZMW+jHn+fS6pKqew92vsPS71nzP9O0pXG1bC+KO9KpSiqhGA2iC6dpZZUq9pylgraUr+ekh9V54s+/0ndK6vsKKn0MLc1WM18be9mqsY/SgBV67pVBgLdwK4GKgI1BD7YfvBQmqoH/0P86XYYdLegLgIkHTFcLQ0XLToqH1AIcznJ2GGunY/e84t+vfpGYB5YCU9MfY77avG22uPyiFSTR1+ZK1M/Q+R1tST6qsrS/uxa2osTy7tzLXHuOWy5mjdsVJbjPwQDUtTXrN8kJdR+mz16XKijxpr+NJc8AzV3eYwEAQTPuPTSS6Vp06by5JNP6iP2q9uwYYO88sorjkJkJOxgmyRAAsETwJ67L7zwgvzyyy96ywT8gwEC3+B7jG0VsL8rvSWD58mSJEACJBCNBOxvftFoI20iARIgARKIAQJ2zyLsCdWmeV154Imlctr4q+W0mmUhNbmX43otBS6awUPQatuqmjz70NVSMmufxwgEoYGohGA1SNChklTol1oVjytBz73fJcaRWvKg9OyeLG99nCafzl8rQ65rqUQ/RMdOlu9W/CY7/lEaoWqi18UdlYx4QAe4gVD516ZDyqtQ7duo3EY/W/iV8lrco9pXgqIlHZNNUro0/DXTZePmY1qsdFk8AmF73ZpllJfmIWWT8liEaqkMhQfjSdXV0uyctk5kYBzwN8Si6AIkLcqhD9VYjiBagNa8q6pmIeIiLnmaK1UOpleQ+0e8JzMXuYtd3bO0PDjkckV1ixqXElfRv0UY9W4sQleAqH1Dy8i+Y+Xk/sfGSGqFBB0MBR4/JunvAMbDFFECECngTQXxYtWqVXq/x8cff1zvTYeovUwkQALRTcD694UePXqof9jpoYPfwLP59ddflz59+kjjxo3lwQcflKuvvlqsWypE98hoHQmQAAmQgCGQ+zdkk8MjCZAACZAACRQCgSpVqsmM2Z9L13PbybAnJ8knb92k5JyjkuhS+wMWTBoruPVKW4JgVz4lXRrVzFBLlhESJjfhRSlXc3OLfElKiMQ+iRAnMYZk2SuX9+ygxMhF8svvIr/+sUOaNCgvJ1Sk7JlzZ6myIu1bueSkqimqrz05ImySbNoKiVHk259Ffvx5ibbDLXvm9p8pG7Tsif+Jb9wM7U1Za1kWjfJVK5dXdmDpdK76laC4JioRFdIZymRleUuQuSXVTVuCyGdeEK3n2nPRlM2FYnKCPsIm75QzanUjUy9+LyfbDqbKrQ+Mk+9XuZeTD7i6vPzr7l6S4tqi9txUgq0qqzVitbzbPUJri2asdprWMvk5R/ge5V2qgxJVlMdfmi5rtyiP1eXzpVp1tZGlPeUdqL0Er4Mk4PUcqjoQIRENGyLk77//rsWKN954QwekQWRsJhIggeJLAMFvID5iX0nsI4nvOYJLPfLII/LAAw/of2yw/uNP8R0pLScBEiCB+CBAMTI+5pmjJAESIIEiJ2AXDmBQ0xat5d8v/Vfuu/1uGTV6ntxzc2flOwhPwNz9B4vCcBO0GZ522G+xlGu3txlQ7Yz4Z/fihCCm7pdwHZfGDepKk9PU/lcqUM3Mecvl1DtvkIMqKM78pfCjU4FiLj1XiY3HlIamxpsjUh0/7u7q9NNSpEmjk9T94/p+tu5HCYmqbXhl6mA52QflpHIqyrQq41547a6LPxPQnlnqjFPtMQiJzohyqkuLB6Feca3adpuhTmzJWtZ6bisW+NLOy0+NbEUpKxsekeVkw3aX3Dr0fVEroCVJ6YkP391ILc8+Vz0vW5Vn6WFjOAbqp8XI3ILHa5pUlDGTlssnc/bKE8+OkLbtO/vszOm74LMwb/gkYH0O4QmJZdjYaw5LOhEFu2fPngJxQj/7PlvhDRIggUgQCPQ7F+i+L5vwnUbEe3ywDQPESETihsckPKCvueYaX1WZTwIkQAIkEEUEKEZG0WTQFBIgARKIZQJW4QDjdL+IiAy+7U75atk8eWnMHDm14Tbp3Untaah2BXSLYko4g+inhTR3jhHtCs7KiHL+POVy+tSd2crniGqOL1TqHkTDJNcxufySFvLbhpUyZ8FRueWOGrJg+Y9yUOmHFZSj1oWdzlRjVW50SKo8hMK6dUUOKPGyeaPS8vTDfVQQGRWZWrVjBFIUzVTyW4ZLbUqoypdSgmSiEkz1SmHc9JHs/N3FzJiUlqf6h1dhMFKe45iNyKnmSxO1ostjU26/eT0Y3YXRR5byiDyuQvCs/uOE9L97lvyjVstXVMN+/vFWctH5DZX36VZdwrt5X/PpK9+7dvBXGIO7TfjO/rghU/7z5p9y2dXd5f+GPaC9Vd0szVhz+3eei+B7ZslcAitXrpShQ4cKAgVh2easWbP0kk6rh1SovJ2f79w+/Z0VpK6/dnmPBKwEisNzFuh75+9+sONDNG58IEoiyE2/fv3k1Vdf1RG6nQJTGYbBtm/K80gCJEACJBB+Arl/Mw5/22yRBEiABEiABHwScL+IuP839Nr/xkudhtXkwac/l617sOC5ghLccv69DN57Fg8+3aD92mcvBbyhhLUsHVinpLIhWQl1CBJTwuuDWNo6T9mrw8BAPEVC0BjlL9ereysppVZRb9mlll2v3yuzPlupxibS88IEHf0Z+0uaBA/JhnXL6pH/stod1CZZ9knZ7G0qLMoWHVUbwW4Q7Xr+/PlqY//58tv6NUqfRdAWX96k3v+rNy+A3giVYGbEVWUM9q50i8DedT12elc22X6Ppl/vQqp9tcQ8I9sd+AWBeuANqftWy54RDObXzZly85BZslMJkZVUQKD33uwjPc5rrITI/cpK5RGqVFjwz1JRtj11vTuJ2BX6O6GCBx04ofaJHDFZKtWuICNfGy2JSep5YYoogePKhRgiZOvWrfWS7HfeeUdWr17t8YaMaOd+Gnd+zv1U4C0SyAeBon7OIOZFMoU6PgiSK1askPfff1927Nihfxduv/12OXxYec07pFDbd2iCWSRAAiRAAgUk4PyWUcBGWZ0ESIAESIAEgieQIGXKVJQpMxbIMfV+M/Sxj+Woq44S7ErnNKEy4WVnPngHQkCWAAkl/JfC/wKx3NmUyxXkTNNZEBhVFGxEcD6RnaIkv9L6HNfmc0Lc9zOzS2lPPhPYRilkymPxhFRPPSEXdkREbJHp81bI599u0X32vaST8mrcq8vo/tT4EtRekxd0bKK8/UTWbxSZNn+16rOsbhcCHTwF01wVZO0mkXtHbJahI7YqT8v1CkeOgKcbcqPKOc1zMC+RbmdTJTrmJHhellDNQCg9mpapo5vrsRhxVfXutRQc+Z57aMTNE/OUhbmyJM3Y6+XVsFd7LSrbM9Uy7GNSWUm3lVX/EH1V1HElMB5XUdaHPzVdtuwXqawC+kx4e6Cc1biyEmOPqjKqnmU+MtScYG9JbQc6DFfSxjs1hh1CS8kxV3X598jJsmGLyCczFkrFKrn7RLox5HBxaoJ5+SKwfv16LTaMHDlSBg0apEVIHBMTc5/n/DRsvhtWocLk5ac91iGBWCJgvgs4BvsdMXWcOPi751Q+mDws3UYE7rvuuksQ7Oass87SWzegrr0/67X1PJh+WIYESIAESKDgBNRrBxMJkAAJkAAJFDWBBGnYuKm8/NoouXPAEBn5zjwZNugc7Vmog8JoISzSNkI0cifIbtCgdu47IQu/2aLksT05d5wPiFgND8faNcrIaSfDs9Htpehypas9Jw+oQDatZeqS7+XjKctV0BiRxvXUfpmn11HS2Sb1UpernCUoOe7Sbs1UuW/kaxXA5tkXlkrZpJZySZeztFAJMfLnX3fJ8MdmyXHVTtlSIpdf3lu14Y7ibayzaoH6pTG3C1NEH80LmHsHyjRJzdF/f1y9TX7f4ZKqpUpLzfLwkzyqtWAvMTKEvR/RmeflFQKmqau8GbHf4pTZy2XO0n0quI7I0/efKzWrllHekmVl8qffyPdrRQfr6X5xE9myY6/s2b5XyZ7YJzN3viDTwjv0pGopcsbJqWp5vC8vUT3s0P9wK7eeevCAxVykqyXkc5dtlI8+PSovjHpeTm/S0lOGJ5EhAAHy0UcfFQSzmDt3rl6SbZ5jzzOWz66d6jvloXn06etePrtnNRIoMIFIPpfmeTdHY6z92uTjmN971jZCPUdk7VGjRknv3r1l8ODB0qJFC3nuued04BtrW1bbrOeRZGjtn+ckQAIkEO8EKEbG+xPA8ZMACZBA1BBIkOtvulU+X7JEXh0zVdo0ryOdW1fXAWQS1Z6JngSlDcuEjfudEbZMgRxvPZc939y3HV1e4hiEMncBeAj+sPaI3DB0rhLj3AkipTUZOQxVsDB30DWp8vjdXZUY6bbXpTwjS6gl1e3bNpIaVb6Xv1UcHOz02LfnmbqMfWl1kgp6UyZruzzzUDe5edhn8oeKrH3HIz9K7do/SoN6leTXDXtl2063ianKCfCN5zvISZVcui14FJpktVO/WJkb+misdmfiJcxt52FpekaKzPn6mPz2t0iny8eLckaUnxb0lmpl07T8loPGq7VgLlAPdtgTPE/h0fjLxoMy5yt3BPPhx0pIVSVQHnVVlZH/26AEP7dX6ZhJa2Ss+mAuvEfg5oG/0Fx/WbI8f/9FqlWIlWFKMB7PGz45Y3ALkamy5q8j8sBTX8gFvbvKgEFDdId8kQ0Td1sziJSNZdmvvfaadOvWTSZNmiQVK1bUpaxCgq1axC6Los+IDYYNxwyBwngui8tvHJZuY+sG7COJ/SR//fVXeeWVV6RsWbVhs59UGAz9dM9bJEACJBA3BOx/n4+bgXOgJEACJEAC0UighLz21kQ5uWFlGT5imWzaqwK1qH0D8+wF6CBseY0mCCHSKo5l5wib8HBMUsFzSirdrIxqEI6CELm0HqWORgjD/zxxbs3HuWRDOssV3RK01+NxFY37qPS9uJpacK0CsKjKfXq0UPUhWFplQyWyZWWoKNwHpVHd0jLt/cFy05VVpIIyYssWkS+W75WdSohEv+efI/LB/3pIl7a1lQh6WIlzmeqTruw+rO2G7RiHu/3cPuA9iOjgKeqOcqpUdfcrIRJCIwgfkVv695beXVxSUSmr6Adp48aN+uiWAO1/bchtO6eQPqA9CK0lsg9ZOOYIyta5UedgnqCifoMzWnepsbgUl717/pEDyiEVzDAet73e3MEcUcNx1POh+auLSKScZw6k8EzuP1FJ7n9ytqRWKyfvTZgpriRQVbZAtGQKKwHsD9mnTx8tRA4bNkxmzJihhUjrdzisHeY0huWeED/vv/9+GTBggPbIHDt2rGzatCkS3bFNEggbgS+++EIvUz5xwttrvqAdoN23335b0tNz9zoOtk2n7+sW9T+3JeofIMePHy+LFy+Wbdu26ebsZe3Xpk9f+eY+hMdp06bpiNv47uJ3BL8nTCRAAiRAAkVPwKV+xHPfmoreHlpAAiRAAiQQrwTM/42UlrNh/Qo5t9XZcnZDtQ/fmwOkdNZWvUzZ7kmoUZl9C60il4chxDK7gOa+aenOU1rvQ6j2fsxQ+0RmZpfWS3EDRalGZS2IKVEvKfu4WiJ8QAljacj1tAuvxfTsClrqTFB2QoiE+GcNXuMprMaTqYO3YA/EFB01e4danvzX39ulfPlUqV2ripRPLamEx6O6HbShuehAMKVUzxV0U+4AL8e0sGfaxp6KGVml1VaP8OOEhWlKMESZTLU3JiTNZLUkupykZZaUbdt3S4VyJdSel2oJuhJTIRA6Jif+Kg/tYU/FdG1Ptmp5rxqzxcNVT0DuWDO07IhySiBVVmDsWeCmjtnKbhWmRncPmTNvwv6csPOYKqmii2v+xt7cechbL1c6dmrVXl4vz85OliOumvKvlz+TiTN3yILPF0qrdl09RZ2eK89NnoRMAB6RV155pUyfPl2LK7feemvIbYRaYcGCBfLkk0/KV18pd12HVKJECbnxxhvliSeekFq1ajmUYBYJFB0BiOVNmjSRQ4cOyYEDB6RcuXL5NgavieYfWP7++29p2rSpbnf//v3q/0cqolg+088//yz33XefjoJtb6Jr1676HwEaN25sv1Wg6wkTJsgNN9ygo29ji4ekJPwTGBMJkAAJkEBREaAYWVTk2S8JkAAJkIA3AS8VJ0veH/uO2j/yNrl/QHUZOqiLJLv2aAFPV7IsmfUEUckjRvoXo9AdXrQSEpRYZft3Of0CZkQvJ5XK2r8Zhcd+//3msd/UtxytL4Du/QlzIkWrMm4BE3skmn4sFfWpyfcvwtlreV3niInIc2Wr9vKwtZR2EiMtt3NPszRvlxJNdQIvsLWztF+jMPIQtAh2oL5lvqysUDQ3BcfBM225FX2eIdp3mlSSSXPWytCn18pr770hN9w0WJXPfakNpT2fHfGGh8BDDz2k93t75JFH5KmnntL5vufcUy1fJ1lqQ9fHHntMnnnmGf2sohEEwDj99NOlatWqykN5iyxfvlx5KCsXZZXq1q0rX375pdpGoba+5h8kUBQErN+HXbt2yXnnnaeDuMCWgoqGaAPt7969O2ztfvPNN9KpUyftXZmSkiIdO3aUevXqaS/8pUuXCrw5S5YsKfDCbNu2LUwIW8LekfhNuffee/WS7bA1zIZIgARIgARCJkAxMmRkrEACJEACJBB5AhCSsmTwjX1lyviZMvbVHnJB69JKCtrlEeGcRB/9UmYXF4MWy9yj8rRrr5fnOoeCk1gZZkAQJI2nZUBxMFx928cbrnbztKNESsVQ792Z557KgB1eYmiA8k5tBJVnEy89D4K7Mi7TpIqs2VJWrrh5orTvdp58MGWhys2dm6C6YaGgCSxcuFDvDwlvSETGDWeyCjim3REjRsjjjz+uL9u3b6/FijZt2pjb+oglngii8/DDD2uRplGjRvLDDz/43YfOqS+vRsNwURh9BDIzFBsClTX3zdH0bb82+dF2jLSdpn1zxPghjGM7gQ0bNnhwhEOMDGe7hw+rvYmVdyW2/8ARS6hPPfVUj73YGuHSSy+VP/74Qxo0aCCrVq2S0qXdkdXMWM3RUynEE0Tafv311+WTTz6RK664wqt2Qdv2aowXJEACJEACfglQjPSLhzdJgARIgASKjkCWpB8/JK1aNJQ05e0xa9xVUrfyEc/yZptW5NvMEEU1T7t2Eczejqeg7655JzCB7Byh0a8YiWZyygUsH7hLHyUcxMgcoRk7WmaqJee7j1WRvrdMlGNJFWTZN+sktUJ11VYBPFB9WBIP2YFe+iH6wSMRe759/fXXfsW+gvKCLd9995106NBBsCy8c+fO8umnn3pEEKf2n332WS1I4h7EyXvuucepWL7yArGxNoqySGYprfVeKOe++vSVH2zbBa0fbD++yhV1/1a7jC3miHvWc2vZUM6PHDmivf0gsMG7F88C2kUqiBhpbxerCNB+QdqF+Hj55ZfrFQk//fSTNG/eXLdn/WPZsmXacxJ5WE7do0cP6+0Cn+M73qpVK9mxY4f8/vvvnt+WcMxFgY1jAyRAAiQQRwT4N+g4mmwOlQRIgASKF4EEKVEqVSZP/0z2qf3mhz72sdplsbbeSxDjgE4UlFOiXtprhKbABDzt2rzx3EuElVeeakK/5nkKerfpue+dHfwVRE8jfAZfy2dJeFW6PSt9FnG8kTsOsLOM27G0Q2ZuAw43c7MgQmoh0ld52/x5yuc2EdRZYA52D8fceYAQiX0iH3vhI1n/l8hHnyxUQmRV53nyNY6grIyfQoHEs8mTJ2vvKXhEWqPfGpElnKRgC5aAQ6RITk7WwTSwfNRfQnReLNNGQoTezMxMx+II9AFvL+xD+eeff3pEIsfCOZl2Ntirb9GiRZ7l4da6KGsvf/DgQYHQY/o0ApK1nv3c2ga81j777DNtL8oFy9zYuW7dOk8d026wbdjtCvbaarO1L9N/oHaM7RCogk3Yk/HHH3+UefPmydq1awMGRjG2YE/H/PB1sgui/ZlnnimjRo3SQiEiSEOULGhCu9h30tougjkVNH3++ee6iVNOOUULkda5Mm3jHwVSU1P15YoVK0x22I7YK3L06NH6+/TRRx952jXz48ngCQmQAAmQQEQJUIyMKF42TgIkQAIkUDACCdKwcVN5+bX/yjL1TvLq6Ll6zz4EWtERtnMat7/Q2K8LZkPwQmbB+olUbbeYGKnWY7ldE9QnzVVeps1bJ1PnZcq/X3pSGjdpqfTZnL0vYxlAIY3N6fs6btw47b107rnnelkRCcEA++HNnz9f93PttdfqPSAD9QNBA0LpBx98IPDkSkz0fh6wdx+Wl5cpU0bOOOMM6d69u16OiqAfQ4cOlWPHLMGcckaIvfTQb7Vq1XTOSy+9pAPk1KtXTwfdqFGjhuAcQhaSnRtErn79+kmlSpWkZcuWnj4h5iIIEMbpK6WlpQkilVeoUEHq168vF154obYX1w888IDf6Mnffvut9io1dkIcwxheeOEFgTCKMcGrbs+ePZ7uMQbk47N9+3ZPvvVk9uzZnjLWuqYMbEYQFCebEQHdKZK0nfHLL7/sxbhmzZpSz8IYfdk5Q7C86aabpHr16voZveiii7Rwh31FsecoPArtycoX7YfC196W9RrtQkitXLmy4HmBAI0xFDShXQi84W73tttu08Go4E2MhPm3Jwj4Zu4QLMqa7HNhvRfKOb4f7dq1E/zO2FO4+rC3y2sSIAESIAFvArk7rnvn84oESIAESIAEooRAglynAtksWrpIiZEzpE2zTdK5dVVJzlZRk10Zykb1QmuzVL/gGO9CLw9HW8GgLr3/3c7el70Jz/389h+0vUYk9bbPlz1w2EPy2Oe+9Plnbjl3+7nXzlXytB+ogqeZnHGo6NshpRD5+g7446NXNQ9ZKjZ3uqTKxm0Z8uTL30mPvl3l9ruGuyE6vETrltS48TKb96n00Q+z8wgS8FBEIAuzf2OkEWEpKPpEgkgRbIII5ZR+/fVXHXgDkYzxW4SowA0bNhR4DGIvPAgxc+bMEYht2BfPnvD8QBiEuAQPTQTRgQAG0Q6CI5atwnO0T58+nqp79+7VAhf6LlWqlA42ApEOS9xRD+URfAfX9erVcz+jOc8wxCzs07d69WrdHjziYBf2HoRXJ0RFiFzgZBe6kIdlt/CkQ38InoL+Fy9eLBAE//pLuRKHMenvlrLbyWYw/u2337xsBueTTjrJ0QLDGHsSgjE4gTPaBuMpU6bIZZdd5vV8rlmzRu9jinKYW2wlgD0PEWwFwis8bL///nu9zN8I1E62BsvX0XBLJsQ6BGW58847PR7ETgKfpUpQp2j3+eeflzvuuMPTblAVAxTCdyFQlGw8OxBDkex7tuZ3bOa5sZrXu3dvvbwdIn2VKlU8t/Lbh6cBnpAACZAACQRFIMS/+QfVJguRAAmQAAmQQJgJJMob/5sgdU6rIMNHLJNNe0tJuquM2zsS0U+Y/BCIYc/IoIVbP3h83MKybkTP3p9eUe57fKqUKJcko976QFxJ/pfvojm+zPqAasmGOGCS9Rx5EHwgDrZo0cIUiegRAp9J8GI0yW6Xyfd3xHLt/v37C4RIiGAQVSHozZw5U+9PN336dC3aQTS75ZZbHJuCOAIhEgITIndjyfW2bdsEAX2wjBzLriEUWdPbb78tECKxvBVtY1k3xDTUg7gDYQwCGpanIlmf0SFDhmghEp5+8FiEKIm9/TAPsB/5CCSCpenWhDEOHDhQC5Fnn322Lo/xYekrRNeLL75Y3nzzTU+V/PD0VM45MXZbbYZQCpunTp3qsRlepLAZgqhJ6N/Uh+cqGENsAxcwhhgJxhBTnRibuUV5eH6iXwjMs2bN0vMEURAJXrZY3mySk63B8DX1/R0hpMJzNdxbGaBdsLO268+OcN2DV6SZs/r160vr1q3zeKbmpy8z79a65vcFHqBMJEACJEAChU+AYmThM2ePJEACJEACTgSgTWh9wls8c7/AJkip5NIydcZi2aVWN9776AdywlVJ7R+plmvDow56ZI6Xj24C5xCqIihWOQ3BK8/Wv2d4XoWCufDmkVsD/wt3+N84PAaN16Au7C6nEeVWzseZLzvcTeW/fR/jCGSh19zCtvAk9zypQA3KKzLNVUH+9fxU+VEFp/1o8jypXMW9fLYgPeX/OShIr9FX1yoOWM9hKYJuIBWWEALBDgl2YImxSXa78FsUSFB79dVXdTActDFp0iRPIA7TJryx3nnnHX25ZMkS+fDDD80tj1CGDETzhqBl9s5DXteuXT1CDZZG79u3D9k6ffXVV/oIL8U6derk5LoPCMiDJePw/rMvIYb4CDEN6b333tPLwd213H927NhRRx3GFZakw7PSpI8//lgLeeD0/vvv6+XO5h7shjemWXJu8sNxhAhotblbt26eZjE/sBm2IVlthp3W+TvnnHME+yCa5wz3rIyxpNvKGKKu2cMQ4i/2ZzQJAiZENDBGO2b5rz9bUdcfX9N2qEfrGEOtWxTljb04Yvk7hGXMFYRzeAbbv4fhshFzhoQI30wkQAIkQAKFT8DhLabwjWCPJEACJEACJOCLQO6LCPaPbC4vvfa2fKX2j3zl3Tly3FVFC5K6rnqRMcm83JhrHmOZQPiESEMJIvdxqSIzP1snk+cclJFvvSGt2nU2t/WRz5gXjrBeYLkvUiRFAuv8HT16VPeHPOzx6Cvhtyj398i5FAQrJAhVCMRh7cfUuOKKK6RZs2b6Ep6EJlnLDho0yLEvq+emVSjDEmUkRAGHV6Q9IagJvP/gDWhNEyZM0JcQYc2yc6sduAnBDMuRkW+1F+0hYT9Mq106U/0BIQn7YzqlQByd6pi8iRMn6lOrzeaeaddqM7wQndLgwYM1Y1PHHK1jsTI2QmSjRo0EorI9oT4EXQigY8aM0bf92WrqW2218jX3Qz2acYRar6jKw148W/AgNeL8vffeq6PaR9ImbC2AZMToSPbFtkmABEiABPIS4J6ReZkwhwRIgARIoCgIwLVOJ9//TpatlmT3HzBIPl88S+0f+ak0b6b2SWtdVhLlmHKOdItSnmZyWsuVKN0ZppyjV2FOnUgc7HYF34dvHo5teHkMOpbIZ2aIduSzl9CrGbuMKOnj2jwItolAtn55zxGzEa07XcrIqr+y5ZEXVsj53VvLtdcPUKUQlVyVzTEwvy/8pn5OMzzYCECUgMiEADErV66Unj172kqE59I6f1jSa9L69etD2jfS1DNHLMlGMnvdWfsxZcz9n3/+WS+txjXGbS178skn6+LWfJxbvR6xpNUkCJzwpESgFwihiFYMcREfeEZi2S2StQ9cY19IJAjA1sjCOtPyh/HQNOVxy4iRVm9SSxV92rZtW68sMx4c85uMDcHa/Pvvv+fhi77r1avnaELt2rU9+VbGeB6RICTbOZoKzZs311GizXWotprypn5xOZp59WWvv/vYHxJbGxhv1ptvvllefPFFX02FLd/Mp6/nIGwdsSESIAESIAFHAhQjHbEwkwRIgARIIBoJuF8AXfLWOx/Id9/Wl/tHzJMzx14ldSuXkyQ5okTJ3JfzaLSfNkUnAf2irEzLzlYBa1wpsu9YObn/yfelXI0KMnbCNElMKuXeQSA6zY8pq/AdR/CM888/X++z+MgjjzgKSeEctAnKgr7Xrl3rU4z0J6jAHnhamf3nAgkc9evX10Mw4hP6RvsmmaAr7t88dy7OTVAU5FjLY1k3grVAlEQglT///FPgDYkPlqMiIAu8FDt16mS60EfT/5dffin4BEqmPPZPhJiKBIHUF5u6det6NWkdj9eNEC4gLiIFYzP6g81O/Zp5t3cNIdwkK2PjGWkfkylrPRoepu9gbEV9w9faVnE4d+JrtdvXfQRegpcpgish4RmF966v8tY2C3o+Y8YM7fVrDV5T0DZZnwRIgARIIHgCuf+3Db4OS5IACZAACZBAkRIoUaqMTJ25SNq3bKH2j/xY3n/jVkl1bZbE7ANw/cFbuse+vJ5oxnPOU4QnMUEgZ17N1Nujc+d9EPSodXbOMwMh8ojUkmFPvCsrlcPY3CUfScUqNXPLxQSn4jGIG2+8UW644QbBvn3t2rWLiNFGMMLegUi4hhjpK9kFkh9++EHeeOMN7XmIYC1Y4m0Vr3y1g3wTvdvepqnjK9/cdzpi78QtW7bovRrNcm0EmYFIiuW/2GfxP//5jxZ8TPtmqWqrVq2CChhUqVIl3TVEUSOMYiymPbtdxiPTnh/MNYLIOKVjx9TGwSqFarO9LV8228uZa7OcP5h6pgz44pkoqK3Ghmg5mvEZe8x3yVz7O5qyiLQOz10EXkpISJCXX35Z7rnnHseqpo7jTYdMe3n7Nb67+FgDLDk0wywSIAESIIEIEqAYGUG4bJoESIAESCBSBLB/ZFN5+bX/yl0D75ZX350vwwadKwnZJ9Ri2nS1lDYjUh2z3RgkgOX/WVJSPTnlZMK072XOMpHnXx4hHc/vHoOjLR5Dgoffo48+KtjXD0FTIrGvmxFUIBTBExGBbCB+mmQXMEy+OWJ/QPOBl2DTpk0FS3w3b97s8ZA0Ze1HeFCi/6pVq9pv5eva2Irl1AMGDNAfiIQYDyJ5v/vuuzoYCyJiY0ms8QZr0KCBXg6P5cUmsE6wBqAuIlb//fffPqtYI5X7KgQ7jf3WMvDwdErYHxNeivmx2ak9f3nmGUEZjBfj8TcmeIxCLDXPa2Ha6m8c4b6H+bImKydrvtM5yuL7AvH8n3/+0VsIYO/SPn36eBW3PhOhtI9G7OXNNdrEsvDbb79dKleuLNdcc41Xn7wgARIgARIoPAJ0Dyk81uyJBEiABEggrAQS5IYBt8mVN/SWV8dslC++36SjH2eppbZM8UwAf7Xx99cbeFupT7b7k52dqa6wwD9V1v55WF58a5V06n6O3DZkeDxDLPKxY2kxxLE1a9ZoD0njSQjD7EJIQY2FUHH99dfrZr744guZP3++PrcKGPY+tm7d6gm2gSXSECKRTjvtNH387rvv9NHpD9j//fff63E0btzYU8T058nIOQk03hMnTmibX3nlFS/PTiw3RhAdeEMi+jMSvA0XLlyY03KuvXYR1t4nxCJEiP7xxx89dU3QHIzFV0JkZKdUsmRJTzYCFTmN/Y8//vCUsdpjGFtt9hS0nMDm8ePHe9lsuR3UqbVfiJFIvsaEe3h+IAhD7IW47ctWa7uo58QX+ZFOdjsi3R/a/+233zxCJMT4pUuX5hEiUc7pmUB+QRLaxHcdXpHWSOoFaZN1SYAESIAE8kfA39/W89cia5EACZAACZBAGAjgJcnXi1Jufgl5/X8fSN2GFWT4iGWyaa/ybnOppZJqB0lRgUiYSMAvAbWUW+1QqPxoy8jhzKoy/InZkpyaJO9NmO7eJ9Lb+cdvU7wZfgIIxPLggw/qJcbw6DMpEiLFww8/LNWrV9ddwLPQ7A+IDHt/8Hy7/PLLtach7iPyr0kmyjIEP197ME6ZMkWLrKhz5ZVXmqqOv3f4rbP376mQc4IlrhBY/u///k+snMzvJI6Ihm2S8YrE9WWXXaazsTzdRH5Gf9Y+sYz2pptu0h/ss2cS8pAgCjpF8IaXoK9AJPBKMwlilD0hEA+ERKdkGFtttpczNmO5v9Vm67jsdQJdm2BKCFI0d+5cx/kyQYAQFAnetr5stdphbAVPq62B7AnHfasd4WgvUBt4FjFOeERWrFhRi7etW7cOVC1s97EnJb5/+M7C+5qJBEiABEig6AjwTa3o2LNnEiABEiABPwTwkhTMi1JyqdIyZeZi2aW2ERv66AeSJhUlU5IlWwlN1JL8AI7VW4gm7jeiOP7qYz6JkulC0JqK8sxrc2TNZpEPpsyTylWqaTrqEcxNeJjUxwg8uTd4FkkCzz77rF5KOXLkSHnooYci0hXmtHz58jrYC/ZB3L59uw70AoHSBKRBx9h/EWITokcbz0eIGlZBEcs/mzRpou286qqrZNmyZV42z549W2655RadB7H12muv9bpvv/D1G2jNhwekEVYgko0ZM0as3oZYlgpRFwnjPO+88zzd9OvXTwfxQMZdd90ln3zyieceTuAJCUENwiL2xMT4TLrkkkvkwgsv1Jdmf09zD4IthEAIbU7pjDPO0BG/cQ/zahV/4RF56aWXitUz0tpGQWwO5vvrqwxs6tq1qzYF2wd8++23VrP0kn1482JuwBLJbquJGG0q+uNrykTqiOcEY8IHnr7hSqNHj9Zt9urVK0+76BPbLiBhuwAs8Ycnsq+Pvz1cQ7X3ueeeE/yOQIB/4YUXQq3O8iRAAiRAAmEm4FL/w+W7WpihsjkSIAESIIHCJpAl49/7n9o/8nYZPrC63Duoi5Ij9yiftyPK842JBJwJZGanyHFXJflo9hoZ/tw6efKFp2TIUIg2Dltqm78t8YFyhhnhXIg/2PcQ4h8ESizjDkfCX4Otwh72V8Q+ciZICvrA/n8Q4nbu3OnVJcQU7BkJz0RrwrJlCB5Ypot7WIqN5brwqDPiXOfOnQXCZEpKiqcqPAxNMJ3169dLo0aNPPfMCQQwE9AH7Zll3vv379f5pn0sg0bkbAiVP/30k2dvvrFjx3qJp2gXfcHrz4h/p556qhZcIRBi/0sktIcAOEZ81JnqD0TtRvAe9IuxtmjRQuAVCDvh3YilzSb69a5duzx7VaI+lo7fdtttpimpV6+engsENoHd//3vf+WOO+7Q93fv3q33+DOF7TajHwicdpsRyAd7E5oEIQzL6pHsjM2z4Isx6mCcGC/GDeEawjR4YS7QHtJ1112nl13rC/WHsRV10EcofE0boRwRrMjsv4jnAgK0Uxo2bJiOXI17dhZO5cPRLiKY79ixw6l5xzw8HwgyY+bGsVCATGzx8NhjjwnESAjkEIzxfDGRAAmQAAkULQHvvz0VrS3snQRIgARIgATyTaD/gEFy1Q2Xyitjdsqi7/dJenYZ1Zbz/+bwYsMU2wRy5zhnj0jrcOHyqJbxp7vKypq/E+Txl9dJh66t5I4hw1Qp52dGq9oUIq0UC/UcAsLjjz+u93nr0qWLQLCyp9w5D96D1SpEoj14c8EbC0JNhQoVdBfwMjRCJAQ3iHzLly/XeyjahUhUwLJT7CsIsRKi6bp16/RScwhZ2E8Q3oUQPcMlqKJP2Lp48WIt7iUnJwv2kcRS8Xnz5mmPTgiYWDZu9eJEPSQImggoMmTIEClXrpwW2mCfESIR8Rh1rUIkWONzyimn6P33MFYIlhA+58yZo/tHACLsY2mSlTXq3nrrrXrJbK1atXQReKFiXiHCTp06VfMzde1HY/Pdd9+tbYbgabcZcwTvU2tymi9z32qfybMfYdvKlStl4MCBerzgNm3aNC3mYek5oqtjb01rMrbCWzJYvtb64Tq3fj/QZqDrYPq1t2GtA57W+/A4DkWItNoYzNxY+zZ10R/EaPwDxgMPPEAh0g6J1yRAAiRQhAToGVmE8Nk1CZAACZBAOAlkSUbaYTmr6SmSrjxyZo27SupWPqJ83I7o8CTh7IltFScCECORckXGbBXkKN2VIruPVZHeA96Xg5Ii3/y4QSpWcYsi7vL8MxoIQMywChGTJ0/WkaJhG5ZaWj3rwm0vliZDQIEot3fvXu25B6+2UEREBIyBxyE+8BiEh2Tp0qXDbapXe0ePHtXLX7ds2aL3wYTHYCieYBgvPOWwpx/Gi2MwCR5oiK6NOTvrrLO05yCESSznRrJ7N1rbxDJh9IlAQNWqubdJsN63PwfWezjPr832dnxdO/WPuYUIiqXG9evX1x94SwZKkbY1UP/xch9ewNgjMj09Xf8jBvaqZCIBEiABEogeAhQjo2cuaAkJkAAJkEA+CeS+KGbJhvWr5dyzW0gbFaR2/Ou3SlnZJCWV3ORJ2iuOnpEeHsX1xAQo8rs/pMPg1NRnSDk55KokORQiAABAAElEQVQlDz49QSbOOS7T582QC7r3VIXVPqM28cuhBWYVMQF40GGPQni+weNv1KhR0qpVq7BaFU3PQTTZEipkLEU3gV/8iZGhthst5aNpbkKxBWWRrEI/rkNpA+ULMwVrG7yS4TG7VAVGwu8DtnfAcnomEiABEiCB6CKQ6yYQXXbRGhIgARIgARIImkDuC1WCNGzcXF5+7VVZtkLk1Xfnq4A2lQR7A2ZbPOOCbpgFY4MABGiV8Axkq91Ej0uqjJvylUxSQuTzL49QQmQvddf9V6LcZ0lX4R9RSKBevXo6MAw8IyE8YFk0xEmIlEZkKajZ0fQc2G0J1xgLysheP1rtsttpvy6I3fa5sbddmNfB2oLxoqxTeXteQdj4Gnt+2jQ2W9u0twNPYOwte/bZZ+sI788884wsWbKEQqQVGs9JgARIIIoIUIyMosmgKSRAAiRAAsETsL+IWGteP/AO6XvdpTJqzEb54vtNkuaqIFkqnI2oP5VaYS3K8+JKIGDUbMvAMOfq5TvbVVI9C+Vkxa/75blR6+Tsc5vKbXqfSEtZnhYbAtjXEctksVQbUa5PP/10uf/++/Vy4KIehL/fJ2ObvQyu7XmmrPUIwchXOWu+9dxa39d5qOXt7eRXyCpov3Y7Qr222x1q/WDLF9Y4A/UTynidygZqP1geoZRzssPkweP2iSee0MGSsDQby7ERUAhR2p22VCgK+0MZK8uSAAmQQLwQ4DLteJlpjpMESIAE4oQApEb4waUdPyotm9SUrP0HZeq4a6VepSPKJ26vumf2EIwTIBymJgCvyBNSQe0TWVkuu3Gs7MsuKd+u3CyVq+Tdn47IopcAhAQjQlitxH6D//73v3UUYwgQCBaCACmIshzLyQgrTkyiYdyFtUzb13MRDQxixQZ/jK33rOeRHDuC07z++ut6P0hEDb/iiit0kKsmTZpEslu2TQIkQAIkECYCFCPDBJLNkAAJkAAJRB+BDb/8JO1btZRWav/Ij167ScrIFh3MxqV2DWSKHwIQIuEZe0Rqyf0vLJAPZ6mI68sWS6t2neMHQoyP1AggRpSEpyTSNddco6PoQqAwZSKJIhx9hKONcI7Rlz1O+fY8BKZBlG+kq666ShDpO1aSfaz5HVe42slv/6ZetNhh7PF1XLNmjRYhJ0yYIMePH5fevXvLI488Ii1atPBVhfkkQAIkQAJRSIBiZBROCk0iARIgARIIF4EsGTv6Lbl70J0yfGBVuXfQBSpu8h4dYTtcPbCdKCWApawq2i08xjLUrGPv0I9mr5Gh/14nD474lzz86AhluPNuNcXlpTxKyUeFWdg/7vnnn9eekvCaQoCbe+65RwdTqVChQlTYWBAj8vOM2uvYrwtij6+6ofQRbFlrOeu5LxuKKj8abfNnk797Voa+yvnKt9bN7/nhw4dl3rx58t///lfvFwvv5+uvv16wVUOjRo0CNhtJ2wJ2zgIkQAIkQAKOBChGOmJhJgmQAAmQQHEn4H75wKLtLLn5+l4ybeJcGftqD7mwVWkpJbvUWm4s18ZHCVJKsPLsJWmL0mx2mMTSb6boIeD1cmmdvxwTPffVfB53VZI1W0rLFTd/KM3OaSXTZn8piUklo2cwtCTsBDD/SNhPbsqUKdqTCh5VZcuW1cs5+/fvL+ecc47jnnJhN8bWoOfZtOXzkgRihUCgZzyY+5mZmToQzejRo2Xy5MkCQbJx48Z6+wV4PNeoUcODK1B7noI8IQESIAESiBoCFCOjZipoCAmQAAmQQGQIZEn68UPSokk9ydy3Xz4de5XUrXxEL9oVFVfZ5Ur07pZipDeP4nLlKEiWkIyE0rI3rYpcedt42Z9ZTj7/ap1UrFKruIyKdoaBgBEqfvjhB4GwMX36dMF+cxAzIGpce+21ctZZZ0lSUlIYemMTJBB/BPAdQwrH3qUrV66UiRMn6qBU8HCuUqWK/gcEeEK2bduW39P4e7w4YhIggRglQDEyRieWwyIBEiABEjAE3B6Qv6xZIee1bSPnnCky+uVBUi5xq5R0Hcr1iDTFeSxWBHx5rmKfyHQpK8ekpjz6n4/lwzmHZc7ni6V1u45qfBSditUkh9lY7DO3fPlyGTdunBY8MjIypF69etKjRw/p3r27PmJvQydhxQibTib5u+dUnnkkQAIi+P4tXLhQFi1apP+h4Pfff9eCI/aCRGTs888/X3s0kxUJkAAJkEBsEaAYGVvzydGQAAmQAAnkIQAx0p3eef15GX7Xw3Lf4Ppy74B2Ulp2KskqU0XYZkAbw6jYHHM8IZ3ESBOw5rhUlUnz/5IHnv5Onn7labl1yENqeM77RBabcdPQsBLAMm4Eu5kxY4YsXbpUCyNlypSRPn36yCWXXKL3mMTSbnui8Ggnwut4JZCf7wL+QQAeyoi2jr0g9+zZowNMtWvXTq6++mq9HyQ8IplIgARIgARilwDFyNidW46MBEiABOKTgJM65SGRLjdec6nMmTxfPnyts7RvXlGSsw9KouuY70i7tmXbnqZ4UvQEHJZmw6hMSVZekamy9u9s6T1gprTvfp5MmjxXXEkpRW8zLYhaAtiTDh5aRpjcuHGj9tBClF4IJB06dNDLuQsSETo/wk3UAqNhJBAkAXg/Ys/Wb775RiZNmqSPECThkQwBEl6Q8EwONrgUv0dBgmcxEiABEohiAhQjo3hyaBoJkAAJkEA+CPgVI7PkyOGDck7zOpK1/7BMGXeN1Kt0TO0fuU/5y6mKOqiNrU+KkTYg0X0Jr8gTUk72HK8i198+Tv4+lCg/rf1HyleoFN2G07qoI4C96+AtCfEE5xBPsK9k69atpVevXlpEQZRuJ8/JqBsMDSKBQiSA7wq+M9inFQGkcITYj+9PkyZNtLjfrVs3admypU+rKDj6RMMbJEACJBATBChGxsQ0chAkQAIkQAI+CeQRJ7NkxfdfyAUdOkuns0TGvHidpCbukkRJ43JtnxCj8IaDSGyWZx+VWnLn45Nl5uJjsnD5YmnVrnMUDoAmFTaBgogbaWlpMmvWLPnyyy9l/vz58ssvv3jMP/PMMwXCSpcuXbRQaY3y6ynEExKIYQL79+/X4iP2fYR3sRHvMeQGDRrIBRdcoD2L4QFJ8T6GHwQOjQRIgARCIEAxMgRYLEoCJEACJFAMCeSIkdnK8xEBKdyCRKa89+6bcu/gu+WBwTVkyIDOkiJ7VFiTI8VwgHFqsoMYmaFm8UR2JZm6aIPc+dgKeWDEv+ThR59QgBiwJk6fkpCGHYpYiSXc8Pb68ccf9ZJTLD+FNxhS7dq1tccXvCbhBYYj8phIIFYIIMgMnn/s+fj999/LH3/8ofdbLVWqlGBbAzzz8HrE1gZYis1I9bEy8xwHCZAACYSPAMXI8LFkSyRAAiRAAsWGgApqk50hl/c8T5bP+0bGv95Lzm+WJMmuXco7MjfgjX04WqxA/JNsKJwMhGLnUyTXSmDGfGBG0qSKLF+bLTfcMVPadm0jU2Z9LolJJXPM4nwVyfzEcKdW8RKeYRAkjUCJ45YtWzz/AIJgHBBp8GnWrJk+nn766Y4iDdpFcormXVg4rWMrrD4D9RMJm3y16Ss/kI2Fdb+w7IPAjr0e8YHwDo9HfLDkGglewEZ4xBEfegYX1lPAfkiABEigeBOgGFm854/WkwAJkAAJ5JtAlhzav1PObFhbSmdlyaxxV0ndyke0d2SiCn/iOxmxkuKWb0aFeydTzVqmio2+N72q9LppvOxJKyHLv/1Fataun2MI56pwZ4S9gQAidRvxZtWqVfp8/fr12oMM9+FFBs9JCJRY6o3jWWedJeXLl8ftAqfCEqwKbGicNGCfD+u19dzgcMoz90I9BmoLYjq8HfG8rl27Vp/D+9f6vDZs2FCaN2+uPxAd8axWr149jymB+spTgRkkQAIkQAJxSYBiZFxOOwdNAiRAAvFLIGfVtgbgkgz5+adv5UK1lKxtE5F3Xx4k5RO3Skk5GL+AisvI1TJt/dKbkK0C1pRVC+zryPAnx8lH89Nl1mefSucLuquR5C7PNvOu/CiZSKBICOB5PXLkiN5vEuKkESjhdQYxyCR4lkGYhFBZuXJlady4sf5g771YXu4aCyJWOMbg1IZTnnleQjlCcMR+p3v27NFLqyE+4vmDFy8iXiNhT8dGjRppsRHiI55FfMqUKVOk3rqhjJNlSYAESIAEop8AxcjonyNaSAIkQAIkEEYCRpRCk+4l2Vny0rOPylMPPyf3DKwnwwadK6Wzd0qCK90T0Mb+Imi/DqN5bCpYAhAjXQlqUX2iHJeq8s7ktfLEy2vkwSfvkwcf+49qxdsb0sw7xchgAbNcYRKAFxpEodWrV8u6des8XpSZmZnaDPzmGE/KChUqaHESghEES+zJV7VqVS0W+bMZbSAV5fJvf/YV1b1Y+j03YrfxdISXI56tHTt2aC9Hs7warCFsQ+DGMwTREaI3REc8T7EsehfVc8Z+SYAESIAEvAlQjPTmwSsSIAESIIEYJeBbjHLvH9m35wWyZM4yGT+yg3RpU0OSs/dLousY3txz9oiMUTDFdVhqQjNdyWpBfTn5aUOaXHnrXGnTpYNMnrFA7ROZ4nNUsSQ8+BwkbxQJgWCfrWDLYRAQlbBU1niv/f333/ocS8Ct3mwoCxEJH+xPCZEJXpU4h6clBKdQg+iEYif6DyVFsu1Q7AhUNtrsxLwbz0Z4OR44cEB7OELExrMC0dF4OGJs8GbE3qQQsPFMmO0A8EzUrFkzoIAdiA/vkwAJkAAJkEB+CVCMzC851iMBEiABEihWBHyLke5hHNq3W1o1rS2Jx9Nk6rhrpV6lI5Is+8WVrcRKl9knslgNOXaN1ZG0EyTNVU52H6ssF/cbK7vVCsOf1m6V6jVOso3bzJ23p6StEC9JoFAJhEPkgugEoRLiFKIZY+ktriFSGWHKPiiIk/CAw1JcCFLwqCxXrpwWMWvVqqWvIVzhXqS948LBwD6+4ngNAREiIz6Yww0bNuijyTNejijnlCBAQ2iE2IwPBEfMH85xL9Lz6GQT80iABEiABEggEAGKkYEI8T4JkAAJkECxIhBIdPQ3mO++XiwXdOwq5zYTmfTGALVce6taBJzmXq7tcuV4SEKcxLn6MBUJgWwdsKaEHJWT5K7HpsjUhUdk4bJ50q5DN2UPRccimRR2modAqGJbfsqjU1/LriFi4QNvSnjOQdzauXOnR6zEtd270joICJbGsxLBS+Blh4AlECvxgcgF0csIm6iLaywnj7cEYRg8EX0aRyyHhniIa5wjD0Ij5mP79u16TpCHa6dk2IK/8WoEW/CHwAivV8wJ7hdWCvX5LCy72A8JkAAJkEDxJEAxsnjOG60mARIgARLwQSC/YiTqYQ/Jt14fKfffdZ8MH1hdhg7uKqWyd+sI27nd0dMul0XRnGVIGTnmqiijJ30rj4/cKEMfGS5PPPWMMgZCJMXIopkV9hopAuEWgeztQTCDNyXEMQhoEM8gWhqxDHsOQrSEcIa8QAlCmnVJOM4TExO1aGoETrSBc4hqJmHZcMmSJb3EVdQ1nn12u029/Bwh4G7evNlrSTMERYzfLHOGeAgW6BfLoY1wiOutW7d6yoEJygVKEA4xZowJH3ilVqpUSR8RQd0u/AZqD/fDySSY/gKViTZ7AtnL+yRAAiRAAkVHgGJk0bFnzyRAAiRAAlFHAEJjlvTqfq4sX/CdjHm1h1zYurSkyC4tVEaduX4Mwkshki+vKT9Vo+KWr5fabCU2HlMBa5avy5D+d8yUFu2byezPvlX7RJZUducKkW5xOWcoXhdRMTwaQQLFloDx+INoB5Hy0KFD2uvPCHxpaWna+88E37F6X0LQM6Ke8RgsCIiUlBTtLQhvwxMnTmhxriDtWevCI7FixYq6TeMNau5jSXuJEiX0PYiKRkyEVyjK4rpatWramxR5EBqNqGra4JEESIAESIAE4pkAxch4nn2OnQRIgARIwIuAWwDLlkP7d8lpp9SQVLUSe+a466RO5QwlRqYrqct4RXpVi9oLiANGlIxaIwMZpveHVIXUvp1ZagaypYRsP1BKLhs4To4mlJDPl6+WOvUaqnG6vIRXL/3R6yJQh7xPAiRQFAQgKELItCZ4IKanp+ssp98zeHROnDhRBg0aJBAIQ0l16tTRAqH5jYRYCO9MeHEykQAJkAAJkAAJRJZAUmSbZ+skQAIkQAIkUHwIuL0IXZJaobLMmL1EunTsLFcMnihPPXK12jsSgmRmsRmML8/C4jKAXPvdgmqiEoYzMQuuEjLi+XHyx3YlFM/9RAmRp6ohJSgh0ntkXpf6wgjJud6T3jV4RQIkUJQEIATaE/ZH9Jfcv9ki5557rpiyub8d/moW3r1os6fwRs6eSIAESIAESMA3AYqRvtnwDgmQAAmQQNwSSJI253SShx57WJ56/Bm54a5JSgbDnpLFOyGuBN73lQOSCqxQvMYCCRFSMD7paiIeePg+6dbjUnVFcVFBYCKBqCBQ2MKb8aS0Bs0xAmWkgQQ71sKyJ9LjZfskQAIkQAIkEE4CFCPDSZNtkQAJkAAJFFsCeV8sE+Rfjz0lXbpcIJkZUO4yi63shZdhjG/Tpk3y3nvvybBH+0v9+vWjfq6M3cZQt29jopqJJOnQ4TyVHYoQGUpZ0yOPJEACdgJ5fytzS1iFN3/lcmuEfmZtF8F3kJKTk0NvqIA1rGMNpSmr/aHUY1kSIAESIAESiCUCFCNjaTY5FhIgARIggXwTcH6xTJBzOnTWbcbCC2T5tWvlxHufSKOm50irVq3yzaqwK8YC+8Jmxv5IIFIEnH8r8/YWbLm8Nf3nWNs1npFFIUb6t9L3Xav9vkvxDgmQAAmQAAnENgG6CcT2/HJ0JEACJEACPgggpgk+vpK5DyEMKRZeIE1gBhPl1tfYoy0/FthHG1PaQwKxQMB4RlqXaUdqXOb/BZFqn+2SAAmQAAmQQDwRoBgZT7PNsZIACZAACYRMIJaEsOImRvLlP+THlRVIoNgRKMj3HJ6R+F1LSAjtlSaYPu1lYun/BcXuIaHBJEACJEACMUeAy7Rjbko5IBIgARIggWAIBApGE+h+MH1EWxnzwp6VZSJLR4+FxkvVyh0v/9nittVl9od0KugwDHuxPO041GEWCZBA4RMoiMgHMTIlJSVko4PpM5gyIXfMCiRAAiRAAiRAAppAaP+MSGgkQAIkQAIkQALFlkA0i5FBQ4VaaVUsg67IgiRAArFGAMu0zX6Rdk/GWBsrx0MCJEACJEACsUSAnpGxNJscCwmQAAmQQL4JGE86sXvi5bvF6KuYlOT+33407hnpS1/0eEQ64cSk+ahoz/bbjlPbzCMBEoh6AhAjzX6R9GSM+umigSRAAiRAAiTgIUDPSA8KnpAACZAACcQzAbt4FYssjGdkNIqRwfLOFY2DrcFyJEACsUoAy7SNZ2SsjpHjIgESIAESIIFYJEDPyFicVY6JBEiABEggXwTcgmTs/jtdLIiRXqKxvjD7X9rnzVd+vh4NViIBEohCAtZl2lFoHk0iARIgARIgARLwQcD+N3cfxZhNAiRAAiRAAjFOAC53Me52Z6JpR2MAmxh/ujg8EiCBCBCAZ6RZph2B5tkkCZAACZAACZBAhAhQjIwQWDZLAiRAAiRQzAjAy87L7a6Y2R+EuUaMLM7LtPMOE3+VcfrrjK/8vC0whwRIoHgSsO4ZWTxHQKtJgARIgARIID4JOP3tPT5JcNQkQAIkQAIkEOMEzDJtekbG+ERzeCQQJwS4TDtOJprDJAESIAESiDkCFCNjbko5IBIgARIgARJwJhCbnpHOY2UuCZBA7BOgZ2TszzFHSAIkQAIkEJsEKEbG5rxyVCRAAiRAAiSQh4DxjMzOjvHNMfOMnBkkQAKxRgC/Y4ymHWuzyvGQAAmQAAnECwGKkfEy0xwnCZAACZBA3BMwYmRs7RkZ99NKACQQlwRcLpfQMzIup56DJgESIAESiAECFCNjYBI5BBIgARIgARLwRcDqBcll2r4oMZ8ESKA4EqBnZHGcNdpMAiRAAiRAAs7hJ8mFBEiABEiABEggRgjAe8gkipGGBI8kQALFnQCESKRSpUoV96HQfhIgARIgARKIOwL0jIy7KeeASYAESIAE4pUAxEh4SnKZdrw+ARw3CcQOASNGJicnx86gOBISIAESIAESiBMCFCPjZKI5TBIgARIgARKAlyQ+WVlZhEECJEACxZoA9ovE71lKSkqxHgeNJwESIAESIIF4JEAxMh5nnWMmARIgARKIWwLwjqRnZNxOPwdOAjFDAJ6R8PSmZ2TMTCkHQgIkQAIkEEcEKEbG0WRzqCRAAiRAAiRAz0g+AyRAArFAAJ6RSNwzMhZmk2MgARIgARKINwIUI+NtxjleEiABEiCBuCYAz0gu047rR4CDJ4GYIEDPyJiYRg6CBEiABEggTglQjIzTieewSYAESIAE4pMAl2nH57xz1CQQawTMnpH0jIy1meV4SIAESIAE4oEAxch4mGWOkQRIgARIgARyCFCM5KNAAiQQCwQYTTsWZpFjIAESIAESiFcCFCPjdeY5bhIgARIggbgigEAPSElJSQxgE1czz8GSQGwS4J6RsTmvHBUJkAAJkEB8EKAYGR/zzFGSAAmQAAnEOQEErkFiAJs4fxA4fBKIEQK+PCPNP7zEyDA5DBIgARIgARKISQIUI2NyWjkoEiABEiABEnAmQDHSmQtzSYAEihcBX56R5h9eitdoaC0JkAAJkAAJxBcBipHxNd8cLQmQAAmQQJwT4DLtOH8AOHwSiBECvjwjY2R4HAYJkAAJkAAJxDQBipExPb0cHAmQAAmQAAl4E0hISJCsrCzvTF6RAAmQQDEjYKJplyxZUlvO5dnFbAJpLgmQAAmQQFwToBgZ19PPwZMACZAACcQbAUTTphgZb7PO8ZJA7BGAZ2RycrJnYFye7UHBExIgARIgARKIegIUI6N+imggCZAACZAACYSPAMTIjIyM8DXIlkiABEigCAjAM7JUqVJF0DO7JAESIAESIAESKCgBipEFJcj6JEACJEACJFCMCHCZdjGaLJpKAiTgk4DdM9JnQd4gARIgARIgARKIOgIUI6NuSmgQCZAACZAACUSOAMXIyLFlyyRAAoVHgJ6RhceaPZEACZAACZBAuAlQjAw3UbZHAiRAAiRAAlFMAMu0MzMzo9hCmkYCJEACgQnQMzIwI5YgARIgARIggWglQDEyWmeGdpEACZAACZBABAhQjIwAVDZJAiRQ6AToGVnoyNkhCZAACZAACYSNAMXIsKFkQyRAAiRAAiQQ/QQoRkb/HNFCEiAB/wSys7OFnpH+GfEuCZAACZAACUQzAYqR0Tw7tI0ESIAESIAEwkyAe0aGGSibIwESKBQCmzZtkpUrV8qOHTskKytL6BlZKNjZCQmQAAmQAAlEhEBSRFployRAAiRAAiRAAlFJgJ6RUTktNIoESCAAga1bt8rDDz+sS+F3zOVyycGDB+X111+XOnXqSK1ataR+/fpSqVKlAC3xNgmQAAmQAAmQQFEToBhZ1DPA/kmABEiABEigEAngBR5eRUwkQAIkUJwItGnTRrA8GykjI0OLkbt375bJkyfrPPy2Pf3009K+fXt9zT9IgARIgARIgASilwCXaUfv3NAyEiABEiABEgg7gaSkJEbTDjtVNkgCJBBpAthiAoIkREd87KlMmTLStm1bezavSYAESIAESIAEopAAxcgonBSaRAIkQAIkQAKRIsA9IyNFlu2SAAlEkgAEyC5duvjs4vbbbxcs3zbekz4L8gYJkAAJkAAJkECRE6AYWeRTQANIgARIgARIIPIEzAs6PSMjz5o9kAAJhJeA+f2C5yP+QQXJ5OE8JSVFLrjgAp3n5DWJMkwkQAIkQAIkQALRQ4BiZPTMBS0hARIgARIggYgRMC/oOHLPyIhhZsMkQAIRIGB+vypWrCinnXaaFiRNHrrr1auXlCxZ0nH5dgTMYZMkQAIkQAIkQAIFJEAxsoAAWZ0ESIAESIAEihMBekYWp9mirSRAAnYCHTt29PoHFSzN7tevn70Yr0mABEiABEiABKKYAMXIKJ4cmkYCJEACJEAC4SaAJY6ZmZnhbpbtkQAJkEDYCGAJtnUZtrVhE1Xb3O/cubOUL1/eWoTnESZg2Ee4GzZPAiRAAiQQwwQoRsbw5HJoJEACJEACJGAnwAA2diK8JoHABKzii/U8cE2WyA8BLMG2LsO2ttGgQQOpUqWK537//v2tt32KmF6FeFEgAr7mxlej/M74IsN8EiABEohfAknxO3SOnARIgARIgATijwCWNNIzMv7mnSMOncD+/ftl5cqVoVdkjYgTqFGjhuzZs0dSU1Pljz/+0B8IXqGKZBE3NE47OOuss7y8VTkvcfogcNgkQAIk4IcAxUg/cHiLBEiABEiABGKNAD0jY21GOZ5IEYAQiSXATEVHACKWk1cdxMjGjRvLqlWrOEdFNz0+e166dKmcd955nvsUij0oeEICJEACJJBDgGIkHwUSIAESIAESiCMCFCPjaLI51LAQGDlypLRo0SIsbbGR8BA4ceKEjBkzRh577DEdWdvaKoUvK43CPV+xYoUMHTo0T6f0jMyDhBkkQAIkEPcEKEbG/SNAACRAAiRAAvFEgMu042m2OdZwEIAQafXyCkebbKPgBBo1aiR169YteENsIWwEnLxYw9Y4GyIBEiABEogpAgxgE1PTycGQAAmQAAmQgH8CSUlJkpGR4b8Q75IACZBAlBOgEBnlE0TzSIAESIAESMAPAYqRfuDwFgmQAAmQAAnEGgEu0461GeV4SIAESIAESIAESIAESKB4EaAYWbzmi9aSAAmQAAmQQIEIGDHSupzOel6gxlmZBEiABEiABEiABEiABEiABAIQoBgZABBvkwAJkAAJkEAsEDCCo9kz0hpQwHoeC2PlGEiABEiABEiABEiABEiABKKXAMXI6J0bWkYCJEACJEACYSNgBEd4RmZmZoatXTZEAiRAAiRAAiRAAiRAAiRAAqEQoBgZCi2WJQESIAESIIFiTgBipPGSLOZDofkkQAIkQAIkQAIkQAIkQALFkADFyGI4aTSZBEiABEiABPJLAMu0IUZSkMwvQdYjARIgARIgARIgARIgARIoCAGKkQWhx7okQAIkQAIkUMwIQIxE4lLtYjZxNJcESIAESIAESIAESIAEYoQAxcgYmUgOgwRIgARIgASCIUAxMhhKLEMCJEACJEACJEACJEACJBApAhQjI0WW7ZIACZAACZBAFBLAnpFIWVlZUWgdTSIBEiABEiABEiABEiABEoh1AhQjY32GOT4SIAESIAESUATMHpEmqjbFSD4WJFB0BMz3MRgLnMo65QXTVrBlCtp+oPqB7jvZGUoda1nruVO7sZAXzjGatnA057HAiGMgARIgARKILgJJ0WUOrSEBEiABEiABEogEASNCJiW5/9ePPSPxomnyI9En2ySBeCCA79HUqVP1UBs1aiRNmjQJOGzzvdu3b58sXrxYl7/wwgslNTVVn/vKNw2b+ua6oMd//vlHvvjiC/17cMkll0ipUqX82rF3715ZunSp/g3p3r27lC1b1ssE2GeELCdbTZ75DTJHNGI9tzZq6ljzfJ1by1rPncpb+9uxY4d8+eWXmsOll14qJUqUcKriNw/tIZl+ly1bJmvXrpWBAwdKyZIl/dYNdNNqK+Zr3bp1YWkX/W7ZskU2bNggmzdvltq1a0vjxo3lpJNOCmQS75MACZAACZBAvghQjMwXNlYiARIgARIggeJJwLpMGy/L1pfb4jkiWk0ChU/A+r3JyMiQK664QhvxwAMPyHPPPRe0QX/88YenLgSrM844Q9f1lR90wyEWXLVqlVx55ZW61rZt26RmzZp+7fjtt9+kb9++WnBbv369nHbaaXl6NGJcnhuWDFPGHHHLem4pGrFTa38//vijZz4gCFeoUCHkfq3t/f333wJx99ChQ9KvXz8tblrvh9q4qYt2e/bs6Wm3ICLnzz//LPfdd58sXLgwjzldu3aV1157TQuTeW4ygwRIgARIgAQKQIBiZAHgsSoJkAAJkAAJFDcCJoANlmlbBZXiNg7aSwJFScCIQpGyIdLth8tu/IbgE00pEr9r+Wlz165dctFFF2nBMJx8wtnut99+Kx07dpT09HRJSUnR5/Xq1ZONGzdqz9dFixZJ8+bNtdds27ZtwzkMtkUCJEACJBDnBChGxvkDwOGTAAmQAAnENoGtW7cKXl4hbuCFGtc4whOqYsWKnsFXrVpVatWq5bnmCQmQQOQJ1K1bV95++23dkXVJLL6j0ZB82RcNtvmyIRghN1hx0ZQLpk2rPVjqPWDAAL3s2ZofajvWujj31a69XDDXhw8flmuuuUYLkc2aNdNbDZx66qmeqr/88otgqTq8dK+//nr9/4zSpUt77vOEBEiABEiABApCgGJkQeixLgmQAAmQAAlEOQEIkUOHDtVWWl+sR4wY4WX5iy++SDHSiwgvSCB4AkbsD76Gu2S1atXklltuCbVaoZUviH3m9yYUYwPVCXQ/2L6CFQX9lXOy5ejRo4Kl+m+88YbA+xzbYoQjWNiRI0fkoYcektdffz1s7S5YsEB7QMLG8ePHi1WIBMfTTz9d3nvvPenUqZP8/vvv2juyR48ewSJmORIgARIgARLwS4DRtP3i4U0SIAESIAESKN4EWrRoIZUqVdIvxU4v1thrDMEnUA4JL9hMJEACoREI9/cmXO399ddfei/AP//8M+B32+n3wRcFX/ZBtFqyZIns378/6L0fsUQYgViMOObUtsmz24j9OuHBh7oYqynny25rPpYiYxky6odSz7Rht+X48eNy5pln6j0WIUBecMEF+tyUz88RdqHdpk2byqhRo7QQiXZxXtCEADhIp5xyil6K7dRehw4dPEGVVqxY4VSEeSRAAiRAAiSQLwIUI/OFjZVIgARIgARIoPgQuO2223waCyHgjjvuELOXpP0F22dF3iCBOCcAoSg/IpYV2w8//KBFO3zvIMiZ5O97eOLECenTp4+uh+/tBx98YKrpY1pamgwbNkwHX4HQ1K1bN+31hmAs999/v16W61Uh58JpLMHaB3EM/+jRsGFD6dKliz6HMAeR0CR7+7t375Zbb71VypQpo0U8ROWGveXLl9fe3MeOHTNV8wibqIvfNSwbRtAff3U9jeScIEgNRLb69etrwRD1sU3Fq6++mqcfe11/1+AOgbNy5cry0ksvyWeffeYJBIR6/ubUV7uog3YhtKJdeLCDqXVJv6+6gfLBb/r06TJy5EifRSH24nlDyk9kcZ8N8wYJkAAJkEDcE+Ay7bh/BAiABEiABEggUgTw8p2fF1C7PQVtB+LA6NGjZe/evVqIMO3h5RJekfC0CTWZNlAP50jWsVrv65s5f/jKx22ne0551vZ4TgJFRcD6vBeWDRCHEJUZIhK+vxAiTSRv2GCiLK9Zs0ab1KRJEy0QIvo1PABfeOEFLWbNnTvXSygriP2DBw+WZcuW6SYg7IEL+oK4etlll8mcOXPk/PPP9/p9+PXXX6Vdu3YeD8rGjRtLgwYNdB14cUIgQ73Zs2frfKt9qItgKgcPHtS/GagLERTRyP3VxW/J9u3bdRTqHTt2SHJysrRs2VIfv/vuO7n33nulTZs21q6CPkfbSUlJOpL6nXfeqX9X7ZVRJthk/d0z7eIfjfB7Ha7nDtzw8ZcWL16sxVCUyS8bf+3zHgmQAAmQQPwSoGdk/M49R04CJEACJBBhAuF6afTXTjAvuPCe6tWrl35xNy+5pk14WOXH48XUB0KcW69NnhNeezlrGad7TnnWOjwngXghYITIqVOnagFtypQpXkIkOAwZMkQgRFavXl2LjqtXrxaUQ97SpUulRo0aOhDJ8OHDC4TN+r2EEAlBFMGxIAiiL4h78OSDdyPEOWvKzMyU/v37ayESHn6wC+LlrFmzdLAUCK3wjoSAat9P09Q9cOCAFlM///xzXXfmzJmeuvAAdaoLL/DLL79cIETCaxNiKQLCQHDbtGmTdO3aVdtttTXYc/CAhyf2i4RgWNBk5WvaTU1NzfM7W9B+/NXH82aek/rKi5RipD9avEcCJEACJBAqAYqRoRJjeRIgARIgARKwEQhGELRVCdul9aXVX6MQI7E/pClvbEa+UzL3ne4xjwRIoHAJQIRDROPJkydLSkqK9oxEpGNrwvJdCHpICDyC5dlI5jvfsWNH+fjjj3XexIkT5euvv9bn1j9Q1pS35tvPrb8P7du3lwkTJniWDuMePA6NkAWhEXtImoTl0BArkSZNmqQDpJh7OPbu3VveffddnYX9Jz/88EPP7WDqvvPOO451kf/tt9/q8X3yySd6SbhpGEvMwa5KlSomK66PmMMbb7xRIGbjeYBnfalSpeKaCQdPAiRAAiQQXgIUI8PLk62RAAmQAAnEIQF/L+/Wl/aiRANvHeyrZrwgEUEVkVHLlSvnaJa/MTlWYCYJkEBECBhvQAh38JKDaOYU1RgCIxK8/i666CJHWyBIIkoy0rRp0/KUwe9VqL9ZV111lfbUNI2Z3w4Ikkhob8+ePea29kTEBbaHwN6NSPY+4WnZrFkzfW/GjBn6iD8gTiJZ6+oMyx++6v7000+61MUXX6wZ2McKkReepaEku92h1M1v2Uj3ifbBwexFOnToUOncuXN+zWU9EiABEiABEnAkwD0jHbEwkwRIgARIgARCI4AXOPMSbq3plGe9X5jnffv2FfNij2iveGl3ss/XWKy2BlPGWp7nJEAC+SOAvQKXL1+uK2OfRSwntibzXdywYYPOxjLljz76SJ+be/ie4xwJy32RTHl9UYA/GjVq5FjbeBmi7yNHjnjKwFMSybrs1/wOGXvN/Z9//lnWr1+vy+MPLANHstbVGbY/cN9aF+2uWrVKlzIip1OfrVu3trXk/9K04b9UeO9Gsk8Ey8ESeuNBe/PNN+ugOdZ5Ce9o2BoJkAAJkEC8EqAYGa8zz3GTAAmQAAmElUAkXxB9GYqIsocPH/a6jf3Qjh8/7pVnvahVq5Zs3rxZ7ymHYA/4OCUICda9z/AyWrNmTc9SvaIYr5OdzCOBWCRg/X5BiIRHM/Y8XLRokYwdO1Zuuukmz7BNWSMuYh9EfAIlU95eDt/1UNLJJ5/st7i1Pfw2/X975wEuRZHu70JZQERREQUFQYkimAMGBARdUEy7JkQFM7omRF3jc9ddveuukateI0bMoJh1ZRXFxCoiCq4BRBYEFRMqKqs4//rVf6tvT5+emZ50zsyct55n6O6KX73Vc/T8zlf1KeK0UufOnd01/I+fi9ronEIlb6faKkCPUlxbV/Cff6Jt9ccXH61cPwPDyY+pvA4dOrg/0IRtDtetpXvNMTx3BTjTsR3+3ZFHpKKCh+vU0vyZCwQgAAEINCwBxMiG5c/oEIAABCDQyAh4AVEiou69eKgz1fy5avIiUpnSokWLXH74WYEFCk3rrbee28apoBPa9llMUjAMf46YhEsJmIr8qnx/VcRaJXlrrb322kbBdPQLvxc7tTVSwTZIEIDA/xEIi2H67ij69QUXXGCmTJliJBLtsccewRmNvpX/I8S2225rttxyS5+d8apzEsNJolNUoAqXZ7rXkQ9Jk/oPzy1TO9nif855MSyubSZ7tbVdybfNNE40Xz+PktgXbVeNz2E2+qOUtq8rUrnW84orrjCnnnpqNU4LmyEAAQhAoEoIIEZWyUJhJgQgAAEIVC4BCYYSC+fOneuuuv/000+DewmOytPH/4IdnY1+MfS/BEvgCwt7uu/Zs2cdgc8LeuG+wnlxv6grT1s4zz//fPdLZ7ht+N6LpOE8zen7778PfsHXswQQ2S6vGkW41fOrr77q5hnXR7i/8L0ETIkuuvp7iZT+XvNXuYRMCZ0kCDQGAvpuacustmffeOONpk+fPu6PE8ccc4x54oknHAL/Pe/atat58803zRZbbGF8EJd8GPmfP/m0ybeuxD59h+Wd7T0ko334+fjytm3buipxbcOCWrif+fPnu0ffVn8EkUCroD3euzJc39/rZ3kxydteTB/13Vbb2RXs6LPPPjMtW7Z0wYj233//+jaD8SAAAQhAoJER4P/mG9mCM10IQAAC1UIgyS912epkKxODpOUKvKAzziQk6l5bBiXC6Rdl/eK6ZMmStPPQPN82bdo4T0CJaRLSWrdu7TyZ9MuxzmyTx6DuVS6vQgWm8L84+z7KdZXnlD83rlxj+H49Z/GTx+cPP/zgmImh7iVuLl261Hz88ceBB+jrr78e3Pt+/FXctF1c3CS+6Koz6+R1KebKk9jhx/VX3z767PMLuZayr0LGp03tE9A75rcVd7bbmi+66CLnGSlPyVtuucUcddRRwR8H9D2QGKk/BkTfzfCzAt3Ic1CBbnyQmfok2a1bNydG+oja0bH9H2Z8uQ+4o3q52qqO5urb6mevTzoPUmLkjBkzfFad6+zZs+vk+YwwQ58XvWYSR6P1KuVZnpBeiNQfsvRe6b8P2VISDtnaUwYBCEAAAhAQAcRI3gMIQAACEKgIAtFfcJL8UpetTrYyTdiXa7u0AiTIi0/XefPmuXv9UirBMerJ6L0WJYLplzYJXzozTc/6pVmio8QyeeJUaqovITLMWb/o6qMUFghcRpZ//DZ1rY22seuXZ4mXWiedpZfJ+1LCTe/evd2YEmn8vfewzDJk4iL/DiVuYCtG3/N82lK3cRPQ+3bKKac4z+bp06eb008/3W3X1s8gpX333dd5USrIiyIhjxgxIgDm31V9f0aOHOnESG37bggxcr/99nMRtbXl/OWXXzY77bRTYKf/fkyaNCkIVqPAWz5la+vrhNseeOCBPjsIevPss886UXLHHXcMynSjn/VXXnllWl74wTMM51XzvVgfeeSRziNSf8zR0R1JfjbXGodqXkNshwAEIFDNBBAjq3n1sB0CEIBADREo5y84+iVTopWELXnd6Zd1XZWnT1hwlHedPBS1pU/RprVVuEuXLk5glJimX/zZJlx/L5546yMxMVPSumodtU387bffdh6sEi/l0ap1VsCPcFJ/Wkv1KTFGV+9RKRE57l30Ikm4n0Lu4/oupB/aVA6B8Jrq7L2nn346p3GDBw8u6A8WOs/v5ptvNltvvbV734899ljnzab3c/jw4ea6665zotJJJ51kmjVrZsJinDwCJVDKK1Ke2IrS3RDphBNOcFvO9Qcf2aeza3fZZRdnilg+/vjj5rjjjnPP4hQWVaNtdeREv379gmlo63q47aGHHurKxOeQQw5xW5C1PgcffLB5+OGHzVZbbeXK5bWtyNGZAnoFAxRxE35Pwt3ItltvvdU89NBDLvv6668PvGHD9Qq5Hz9+vJk8ebL7I4j61c8+n+RZK09RJUXQ1vb1bFvYO3bsaHr16uWbc4UABCAAAQgURQAxsih8NIYABCAAgVIRKETsiWujMwv1S662K86aNctddS8PSP0yqDY6e1Bi44ABA0xn60GnM9bC235LNadM/cTZnaku+bkJeMFSNQcNGuQahBnLo1LvhLaK6+q9X+WZNWHChGAAicwSJuXxqi2suuo90TZ6LySE+w0actOoCeid8OmBBx4w+uRK33zzjTsqwb9X0frhPqNlekfPPfdcc+GFF5qnnnrKSHCSkKakcyWHDRvm3vGDDjrI/SFF7/LMmTPd1mjVkUj54IMPup95ei5XyjQ3fc8khMnLcfHixaZ///7OI6979+4u4vX777/vTBo4cKB55JFHgiBZylRbCXfyAtURGfoZLm8+31bHaIhdtK1s0R8aJHzKE1N/kNp+++2dGKk/TGhr+1dffeX6lUhZjhRdUz3LLn0U6fuxxx5zw+q/VblStK9ofd+3/iDj+5XgGk46N9incePGGX2ypdGjRzux2/edrS5lEIAABCAAgVwEECNzEaIcAhCAAATqhUCmX1yzDb5ixQonLsn7TdsWJTTp46PKSnTUL6qjRo1y5wpKtJK4pGtDejcWMtdsHHKV1eovj9nmFWas98B7XkkACSd5VEqs1pmV+sVdArbEJHmf+aR3SO+NRGsFEpFIKYGSBIFiCegdjkvh9zeuXGLkxIkTnajmt2vLc03vqgKSnHPOOc4jWMK7Pj4NHTrU/PGPf3TvsM/LZIMvz3XNZGu2fnV+o35Wn3baaW4eEuP0UdIxEocddpi59NJLjYLWRJO+f7naXnbZZbFt11xzTRf4R9vdJXS+9tprrnuNqW3r2sJeLjEyOo9M3KL14p5ztc1VLiFXP/tyJfUTXcdcfefqk3IIQAACEICACDSx/4GJ/78g+EAAAhCAAAQagID+sxT3y462Uuu8Mx+AQAJkVHiUYKRfVCUa6aqtt+UWHTPZK3TZyhoALUOGCORaG7+lX1tbJVb6bf2+C50Pqi3e+kig1Lun80RJtUNg6tSpzsNOV3nvVUsKv9uKWq0jC3QmoI6b0LWYFO47n36ytfvll1+cYKot0joWQ16OiuqcJBXTVmKc2OiPFYpS3tDn/GZjlIRFJdSp1u9MJbDDBghAAAKNjQBiZGNbceYLAQhAoEoIyLtRIpC8VLSFTh/v8ajzzvTLo0QgiUG5hMda+CWvSpatQcysr/X1AqW8cCVO6qMt4EoSIrV9docddnBnjerdRJxskNehZIMirJQMZWxH9fW9jR2czLIQ4DtTFqx0CgEIQKAmCbBNuyaXlUlBAAIQqD4C8nyUp6POQFMAA3/OozwbtfVQ2/a8F5qekwo9/hdef60EMpVkS0PxyMUgV3nY7jhP2nB5+D6ffsPtdO/Ppgxv9ZZnlURJL1Dq/L5rr73WeVnJW1LbYvfaay88J6MweS4JgWLe55IY8J9OCrEjn++tt7WQcXxbXYttH+6rUu5rcU6VwhY7IAABCECgfAQQI8vHlp4hAAEI1DSBUvwCNHfuXPPcc8+5YAovvviiCzIj8VEeZuedd15wPp88IQv5xVUL4Nv5ayUsSiXZ0lA8cjHIVV6o3aXuV8K4F8tlk/folSevgmXo7LqLLrrIiec6t1KBN3TVO57tCIFCvl+FtCmUY2NsV4l8S/0+F7qu9WVHseMU275QPuVsVylz0vdDHxIEIAABCEAgCQHEyCSUqAMBCEAAAnUIFPILkKKEahuXtl5PnjzZRTdWx/IgGzt2rIuMqi3XBAepg5uMCiQQJ07JY1dbtPVRcA6Jk/6YAb33Y8aMMfIC1jl1inoscXLw4MHuOTzFQr5fhbQJj8l9ZgJxa525NiUQaHwE9POHn0GNb92ZMQQgAIFCCSBGFkqOdhCAAAQgkJFA+Bd3iTHaen3XXXeZKVOmuDP2FERh5513dkLMkCFD3PbXjJ1RAIEKJZDtF2//HZA4OWDAABcA5eyzz3YCvL4PEiZ1nTBhghPfJUjqKIJBgwbVESYrdPqNyqxsa92oQDBZCEAAAhCAAAQgUAICiJElgEgXEIAABBorAS+4ROe/YsUK5w12++23O8FFUUs7d+4ciC3yCMu2RTXaH88QqDYCUfHKP6+77rrueyDhUR6SEiS9t/ABBxzghEidM3nEEUc4ETPp2ajVxgd7IQABCEAAAhCAAAQaLwHEyMa79swcAhCAQNEEvMDiRUkFoLnhhhuct5eiDLdr185tRT366KNdxOtiBEg/howO3xc9CTqAQBEEinkX9X2QMK+PzpZU0CYFwNERBvfcc48TJiVQjh492gVvKsJMmhZBwP+cK6ILmkIAAhCAAAQgAAEIhAisErrnFgIQgAAEIJA3AZ0DqS3YO+64o+nTp4+57bbbnLjy7LPPmvnz55ubbrrJnZ9XjBApo8KCQPg+b4NpAIESEijlu6izU6+++mr3vVFgJ0XtnjhxohPy9d26+eabg3NWSzgFuspCQOsrwZkEAQhAAAIQgAAEIFA6AoiRpWNJTxCAAAQaFYGPP/7YnHnmmaZjx47m8MMPd2dBeiHlzjvvNAMHDnQRhBsVFCbbaAhkE6iylSUBJOFe50zeeuutZuHChea6665zzY499lj3fVMQnI8++qhOV8WOW6fDRp6BENnIXwCmDwEIQAACEIBA2QiwTbtsaOkYAhCAQO0QkMjhfzGfN2+eufjii91WbM3wkEMOMccff3xJvB/jiPmxw2VxeeFy7iHQkARK6S2pyPLapq3P66+/bsaNG2euueYa9xkxYoQ5//zzTdeuXRtyujU7thd333jjDbwja3aVmVgxBKL/LdZREyQIQAACEIBAEgJN7H9E2HuShBR1IAABCNQggegvEtmmuGDBAvOHP/zBiZDy3JIQoujAmYSQfPrONi5lEGgIAg3x/vr/JfNiZiYb5s6da6666iqjAFGKVq9gOOedd16d72Km9g3BsxrHVGAheXiTIACB/AjomAl5d5MgAAEIQAACmQggRmYiQz4EIAABCDgCCkQjT8jrr7/eRcAeO3asOeaYY1xwGhBBAAKlJZCPgPj555+7M1r1/dTZrSeddJITJRWxm1Q8gWXLlpmZM2fWOa/Wi8bFj0APEKhNAjr/tnXr1rU5OWYFAQhAAAIlIYAYWRKMdAIBCECgNgkoGM0555zjgmZom+h//dd/GYSO2lxrZtVwBPIRIOOsjP7B4M9//rP7g0E0aFSx48SNXet5MKv1FWZ+5SAQ/d5En8sxJn1CAAIQgEB1EUCMrK71wloIQAACJSWQ6ReEWbNmuTPqXn31VTNkyBC3JbRHjx4lHZvOIFANBDJ9R0ppe5IxktRRUJvTTjvNPPzww0aeSQp807dv31KaSl8QgAAEIAABCEAAAhAomgDRtItGSAcQgAAEqpeAP5suPAOdRScBQ+fSPfDAA+bJJ580cUKkxBESBBorgVK+/3HfwyjXJHU6d+5sJk+ebB599FHnzdyvXz9zySWXmJ9//jnaHc8QgAAEIAABCEAAAhBoMAJ4RjYYegaGAAQgUFkEli9fbkaNGmUmTpxohg0bZm699Va2ZFfWEmENBBIT0BmSRx55JN/nxMSoCAEIQAACEIAABCBQXwQQI+uLNONAAAIQqGACCtQwePBg8/rrr5tLL73UjBkzxqy66qqxFifZLhrbMEFmOftOMDxVIFAVBMLfk0z3fiLXXHONOfPMM03Pnj2dl3O7du18EVcIQAACZSGQ6+dSWQalUwhAAAIQqCoCiJFVtVwYCwEIQKD0BBT8YscddzSffPKJufPOO51XZKGjhH8BydbHP//5T/P3v//d/Otf/zJLly41HTp0MF26dDEDBw40nTp1ytaUMgg0KIHnn3/e6P096qijTLNmzZwtSd/7OMMXLVpkPvjgA7Nw4UL3PZBouMEGG8RVLThv6tSp5sADDzRrrbWWeeWVV/B4LpgkDSEAAQhAAAIQgAAESkEAMbIUFOkDAhCAQJUQkGii5M+f01lyEgDlEfncc8+ZHXbYISgrxZSiIs3f/vY3c+GFF5qXX345tvtf/epXbqu4onZLkPF2xlYuMjNqW5Hdlax5NruylRVrQKn7ztVftDz6XI75FDvGggULTO/evY22QEvEb926dcFmvvXWW2bs2LFmypQpdfoYNGiQkUejhMlSpdmzZ7uzYLt162amTZtmWrVqldZ1sWzSOuMBAhCAAAQgAAEIQAACWQggRmaBQxEEIACBWicgbymdEalANQcccEAw3VILE7/88ouRwHjxxRcb9a201VZbmU033dS0bdvWeYVJoJR3ppK8I1988UXnKeYy8vynVPaXqp88zad6DgINsS7y4O3fv7/zipR5xYiR06dPNwou89NPP5nVVlvN3Sv4jKJhy4vx3//+t5EwL9FQfyAoVVJgm/3339/svffe7jvftGnTUnVNPxCAAAQgAAEIQAACEEhMADEyMSoqQgACEKgtAoq6K2FCZ0SeccYZZZ3cH//4RydGapCddtrJXHnllWb7Ei9xbQAAPZdJREFU7bdPG/PHH380iuR97rnnOsGye/fuZsaMGXU8uHyjhhCk/NhJr6W0sZR95bI/yVhxdeLyco0VLi+2fbivUt6/9NJLLhiMtlP7lI8YGZ6XAkXJu1LC4+abb24efPBBd0SBr6Mt4BIL582bZ7p27WpmzZplWrZs6Yct6qoxrr32WnPyySfX+QOE79jb4Z+5QgACEIAABCAAAQhAoNQEECNLTZT+IAABCFQoAS8y6Krt2b169XJnx8n7qpweUvIC22WXXdyYu+22m5F3VjZx5c9//rMTJIVx3Lhx5pRTTklM1M8xW4MkdbK1z1aWq+9c5dn6zlVWzr5zjV2r5d9//705++yznYAn795VVlnF6KqUjxgZ5vPQQw+Z3/zmN+4IgpkzZ5otttgiXOzu9Z3cdddd3f2TTz5phgwZEngUl+LoAnll6qzKt99+OxD7eX/qLAMZEIAABCAAAQhAAAJlIrBKmfqlWwhAAAIQqDACXsTQ9a677jJz5841f/rTn8oqRAqBxpD42bx5c3P77bc7IVLCR6akyL8bbbSRK5YH5cqVK2OraourvMh0DuX8+fOdWOPnGNvgP5m+jrdB5wAqmI7fIp6trcq++eYb88Ybb7hxP/zwQydO+b7Ut7+P60djPfPMM0bt8knexnfeeSe2f43p5xXXbzab4uqH8+TB522O6ycuT+19vrc9KV+1/fbbb51X7FNPPWXmzJlj5DWbNOWyN2k/GnOzzTYzV199tVtjRZuXV2G+yXPw7RQAR0kBm+KESJVJvF9jjTV0ayRYKml9s62xq5TwH30nxWnChAlBi1L1HXTIDQQgAAEIQAACEIAABDIRsP+TTIIABCAAgUZGoG/fvikbHCNlBb2yztyes5daddVVpTymjjzyyMRjPfHEE6m77747ZaNt12nz2WefpY477riUPVPP9au+9bHiTeq0005LWW+2Om2UYaMIu3r2jEpXftlll6VskJy0PuxZlSkrbsa2t6Ja6pBDDgnm48e1Z/6l7NmbKdkVl1asWJGygUpSa665ZtpYstcKrymVZ0qvvvpqygpTKSsUBW3btGmT+utf/5patmxZkPf5558HXch+b9vixYuD/PDNY489FtQJt/V1vM02QEtQT31qDt5m6yHoq7ur57veeuu553z5qtGSJUtSI0eOTImpn4OuNthK6oILLkjZwDGub/+Pt8EKh45xNnvVRvV9G99Hpqv1fHQ2iPfll1/u2lmvxsAulReSrICeskckpLQGmZI9MzJlxXs3lj1GIVO1ovLtVvHUlltuWVQfNIYABCAAAQhAAAIQgEAhBOS5QIIABCAAgUZE4KuvvkrZbdmp888/v+yzvuOOOwLxxkYHzjleVCiKPr/33nuptdZay/UpgU6Cqj1fL2W9zIJxevTokbJn+6WNpX68WLbuuus64Uoil0SvrbfeOtW+ffugvd2Km7Ln+KW1/+KLL1L2DEtXp0WLFim73Txlt9qmtWvXrl1q/vz5ae2s91nKngsY9C0ByJ7TmbIedymNIxusd1wqKhrKXgmyGkt1NOd99903dfDBB6ck9mnuo0ePDvqVfT5JjPTiZbRfXyebGCmb+/TpE/TtbdY1m83F8JVddstwwFP22+BGqWHDhqWJuHa7csp62fppuGsme3MxTusk5kHC51/+8peU9dIMSosRI6PvcvQ5GMTe2K3ZAX/rSRkuKtm99Y50Y+gPBiQIQAACEIAABCAAAQjUJwHEyPqkzVgQgAAEKoDAa6+95kQIe3Zj2a256KKLAlHl2WefLWo8iVA26I3rTx6NUZFG3mZeqBw4cGCdsbxYJnFPnxNPPDFlt1wH9aZMmRKIf/IcDaf//u//dm3kzRj11rRbvAORLirwSijVWOuvv34dj8sXXnghJQFT5SNGjAgPl5LXnS+TWGrP9wvKZfOee+7p2vm5hAWlYj0jC7W5GL5aWxtd3c1JYqvdFh7M94cffkhdcsklwXxtkKOgTDfeXrWLerWKsdjHMU7rJOFDvmJknOAYl+eHV5m8Ur0YvPHGG6c0/3IkL3jq5wEJAhCAAAQgAAEIQAAC9UmAMyPtbygkCEAAArVIwP7HJHZa1uPL5a+++uqx5aXMtJ55QXcKmFNMUjCbf/zjH66Le++9Nwjw4fu0noPmpptuco/PPfecueeee3xRneuOO+5orKdmcC6fKgwaNMjovEoluz3aWA9Sd69/Xn75ZXevwCMdO3YM8nWjoDzWS9FYMc0oUrJPVhhzwXr0fOutt5rdd9/dF7mrzgW877773L3dkm6smBeU33///e4MS+shaO68806z4YYbBmU6S3DixInGim9BXq6b8LsQvo+2C9t8yy231LFZgU9km5Js9lyi/eTL1wrVwdmI119/vdH5jD5Z71Bz1llnOb7K07mjPoXtve2225y9fn66yt4HHnjAVfeMfbnvo5xXrV80xeWF64waNcoFllG98ePHG82/UJuztdMZrkr+50HYBu4hAAEIQAACEIAABCBQTgKIkeWkS98QgAAEGpBAJtHDnr/nAmGEhbNymaloxD5p3GKSBCslCVUSmeLSAQccYOy2aFdkPSXjqri8Y4891jGIijUKWOJTWIzs1q2by7bbm12wG1/HXyVsKqjNFVdc4bNckCA9qM+hQ4cG+f5G66OIyXY7shObwvaqL6Vf//rXLuq5b+Ovdnu5GTNmjH9Mu8atezgvfJ/W0D4osJGSbLbel+5e/4Q5ib3dHu/yHn74YVcnXK4Me6ZnXnx9kBa7xd7st99+rs/wP7JZgq4ERQl0PoXt9Yz9/PxV9oYZ+3zfR6VcxfCkk04KRHR7/qmxHr5FmZdtrtYD0/Vd7PeyKANpDAEIQAACEIAABCDQKAk0bZSzZtIQgAAEGikBCR5du3Y19uw/M336dGPP5CsrCbvVOOj/3XffNdtss03wnO+NImcr2a3aWZtut9125q233jL2fMmM9WygGlcWFWvCXo+K1u2TRE5FVbZnMzoxVJGQ7fmFTmSUYNSyZUtfNbjacyvdvd06buTJGU1aC40vT0ddfX3V82JkWByNts/EISoMRttle/Y2eJu9jdE2NpCNy/L1oxzz5fvmm2+6/iQkR/vyYyvydDT6tB/f2+vrqg/PQfdirOTr+3qVcJWdNmCNOeKIIwKv06OPPtrYoDmBeZmYBBUKuLHbs12rzp07F9CaJhCAAAQgAAEIQAACECicAGJk4exoCQEIQKDqCEjUkHAjwU5efjaIRTCHTMJTUKGAGxsYJvCQmzNnTsFipI2WbGygEmdBLvFEQqHS+++/7676xwtTPsOeOelvXZkXe2zk77R8/7DTTjsZG1DG2KjZxp7ZaObNm2euvfZa99E2Wnkwnn766c7T0XP047/00ktGn1zJC2UrV650Yqrqd+jQIWMzL/hlrPCfAm9Ptnq+jrchbLPYRPmpL+X7+tG+te4++b71nImv94zcaKONfLM613A/vtCPH7bXl8Vdff24snLlxdkdHkseuDpi4MUXX3TZ8niVEOnfyXDdUt4/8sgjxkbTNjagUym7pS8IQAACEIAABCAAAQjkJIAYmRMRFSAAAQjUFgGJI8cff7w58sgjzdSpU82AAQPcBMshfujsQI2nJDEySVL9GTNmmP/93/9121S1XVieh76fXH14j0Z5fyqpnZ+bruFnlfsy3WdLOvNx4cKF7rxGG/zHaNv4smXLjIRSbVeWuPvXv/7ViZLqx2+D3Xbbbd15h7nsX2edddzwEuy8aCdhMpq8/XHemNG6eo6bnw2UklbV19FclGSzhKpcydscref7U374PlrPP4e38/u86DWuHxvcxVWTvfKajKujPDHTp02bNtFuy/4cZ5Mf9MMPP3Tb4eXFq/dV2/xPPfVUXxxc/ZoHGUXe6Hv/+uuvm+uuu67InmgOAQhAAAIQgAAEIACB/AkgRubPjBYQgAAEqoJAJgFD4sjhhx9uLr74YnPOOeeYadOmmaZNy/OfA4lE8kJUIBsFhUmSZJ/OB/Qfbbm20YWdl6DEQO8hmakvX962bVtXJSwGiUm2FK4bV0/bfSXi6mMjQLs5ycPs5ptvdgFvFABH223lbaZzJuXxJ5HsxhtvjOsuY5620s+aNcssWLCgTh1vo43q7cr07POilWVjXJJ3Z1wK2+yDAcXVC+dles/Cdfx92M7wvbxZNR+tbziF+5YwK9HSb7lWve7duweMtQaZUrifTHXqO//tt992W/4/++wzJ7ZPmDDB7L///rFmhFnFVsgz84ILLjCd7fbsww47LM+WVIcABCAAAQhAAAIQgEDxBAhgUzxDeoAABCBQkQSyCRjyvJMXnwTCq666qmz2ywYveLzwwgvm6aefzjmWhEsfCVvboyVEKvkgMj6idlxHEp38WXgKWpJvUvtokqflU089Za688so0704JuIqILY433HCDayaPwylTprh7CWVKuURYiVB33HGH8wb14yeZq8QsJbXx7fTcrFkzXVzKFCl57ty5vkpa26jN4X6DBvYmbHO29yzcRvfh/sL3El+VZs+e7a7+H/Xt6+n90VmVEnp9lHbPKRyJ3Lf17fSsQDeesS9vqKvs0hZ+BWKSECnR/Pnnn88oRHo71S48J5+f71XBlrQl/NJLLzUEr8mXHvUhAAEIQAACEIAABEpBADGyFBTpAwIQgECFE4gTMeSFpcAs8uabOHFi2WZw7rnnmvXXX9/1L49Cfz5g3IDaJqxoyj6StSIK++SjLEvsy3QG46RJkwJBS3PLN8VxkiAmT9KxY8c6VnF1wsKnP4NP5wAqaXu6j/octUfbc0eNGmVGjhzptnp7YU95Sgoy5MVNl/Gff+QleNlllwVZssnbFd6KrO240aQgPBLmokntwzYrcrW3J1w3anO4LNe9tzFab++993ZZ77zzjnnyySfTir0NPgiQgiL5Mz/9O6F2Uca+XTH2phlSwgett4TItdde20hklQdxrqT5+DnlqpupXEcJ6ExKcfPs4upmWqe4uuRBAAIQgAAEIAABCEAgbwL2fzhJEIAABCDQSAlYr79U3759UzYIS8p6FKZRsF5+ac/FPFixM2XPxJPbYcp6Y6Xs9vCU3U4ddPn111+nrNiU2njjjV0d1bNn5wXlupGtvXv3TllBJmXFqJQVcdLKrdCSsuKOa2+9zlL2PMG0cus9F/RtI3unlfkH68UY1LECl89O2TM2g/zx48envv3226BM49hzLV1569atUzYyclDWr18/l2+DBqXuv//+IF839sy+VI8ePVz56quvnrLefmnle+yxhyuzwWBSst0nu1U5NWLECFcmTvosXbrUF6esUJnaZJNNXL7ssZG5gzLrEZmy3qYZ26qi9fZ05Zlstt6Trjxqc758bXT0wC69a4MGDXL9brjhhqmXX345FX7/brnlFrfumqs95zBoF2dvuJ3eac/YnrFZh3FaRwkeHnrooYCd3lmfwmMqz24ZT9lI9e6zaNEiX81d7fb3oA+949brNvZjRVmXb8XstPaFPlhP2pTW1B4bkPb+Ftof7SAAAQhAAAIQgAAEIFAoAXlSkCAAAQhAoBETsF6IqZ49ezqhwgZmKRsJG+QltdpqqwVCjIQlCZPWazItT/n23EUnqkWNsZ6CTohUHYmbvXr1SlkPr5QXyJQ/cODAlAS7aCpGLBMjL2ppDLsVOiXBc8iQIan11lvP2S+xKyo4SnCz5yEG89P9Pvvsk+rYsWOQp77s9vWouSkbsTsY026rT2299dZO9LSej66t3doc9BEWI9XR9ddf78Q7Cbeyt3PnzoHQa7eXp2xwoKDt559/njZ2Npt9f3E2h4XcJGJvWIyUAWrjxWit7eabb56y3rvu3dQc9Dn00EPTbNWD+vHiq+pEGcvmOHvrdJQhwwuNumYSI6NNrRdtwFfz8n2onvXsDMo8T3/18wxfR48eHe0+72frIZuyHrspvTPRdyXvzmgAAQhAAAIQgAAEIACBIgkgRhYJkOYQgAAEaoGAxDa7VdSJJPYsOeeFWI552ejBqTPOOCPwYAyLLhKgdt1115Q9zy7r0F9++aUTKyX+hdtL2DzhhBNS9pzEOu0lBsnbztf3YllYJFKjsKAWFcs+/vjjlIQhCVu+H131LO9Su/28zrjKWL58eeqUU05J2cArgXefby8xM5tHqjwwJczKc9W3UT82AEnKBs4J8qKCosa1W9YD4da3laCqdmLk8+LayuaTTz45Zc9oDOr5+kOHDq1js8aLE3vz4as+bGCd1NFHH52Krq0EWAmo8o6NSxKf5WWYj71x/eTKyyRGRud5+umnB9z8u6a+5f3qOSa9yis3U4qOG1fv6quvdu+PjY6eWrJkSVwV8iAAAQhAAAIQgAAEIFCvBJpoNPs/xCQIQAACEGjkBBTsRGc66vxIu8XURbP25x96NPpPhvXi8o8FX3XmoRVGXPRkKy6aTp06uQA1zZs3r9NnpjGVr0AsVuB0Z1Iq+Ir1vExkX6Y+6wwek6GIzopybbffunGtd6ZRQKAkXNTGipzurEBFkNaZgUmSgugoqriSFZWMFW7d2Yp77bWXy7OCogmfFeky//OPFVGNzk20W9yN9eIMFyW6V4Rrtbdbvo0CzSS1OVHnGSppfT744APH2XpLGn3EOEmSvVYANHZLcr3Zm8Su+q4T/j7rTE671d0F/6lvOxgPAhCAAAQgAAEIQAACUQKIkVEiPEMAAhBo5AQUXdue6egi7drz+VyQm1IjKUYMLLUtmfqL2hh+Dt9nap8tP659XF62PhSMxAd+ySRG5uozV3m28SmrXwL5rJXeDeslbD755BPzpz/9yVhvZKPo7yQIQAACEIAABCAAAQhUAgGiaVfCKmADBCAAgQoioAjWdsut8yo78MADjd2W6zwQS2liEi/CUo6XrS+JPHEpamP4OXwf17aQvHz7TFI/V51c5fnOI45lXF6+/WarX+7+s42dT1mxdmZbK9+3DQpl9J2VSC2v5mnTppmzzz4bITKfhaIuBCAAAQhAAAIQgEDZCSBGlh0xA0AAAhCoPgLaCixB0kb+NTbqs9l0002NPUPQ2AjCVTMZL9BUosHZhKWovaWYR759JKkfVyefeUXnWehztjHjbCx0nFztco2Vzc5cfecqX7ZsmfNm7tOnj5kyZYqx50S67689yzStaS4b0yrzAAEIQAACEIAABCAAgTIRQIwsE1i6hQAEIFALBGwwEXd230knnWRuvvlmd3bfRRddZD799NOSTq8cIklS8SdpvZJOOI/OSmFfvn0kqR+tk2kNo/XymHrRVetz7Pocy4PR9vzLLrvM2Gjp7jpq1Ch3Jqm+rzbokYIU+qru2hA2phnAAwQgAAEIQAACEIAABCwBzozkNYAABCAAgYwEJGZ4AUNbQC+88EIzYcIEt+3zsMMOM7///e/ddu6MHRRQEB6zgOaNpomC4Tz33HNuvgcddJCJC/7TaGBU4ETL+R4rcNO4ceNckKkVK1YYfRfPO++8kn8XKxArJkEAAhCAAAQgAAEI1AABxMgaWESmAAEIQKA+CUgIufjii50oqXGHDx9uTjzxRBPdEprUpnKKNkltoB4EqoHAm2++6URI/UFACRGyGlYNGyEAAQhAAAIQgAAEogQQI6NEeIYABCAAgUQEPv74Y7c1VNu3v/vuO9OzZ0/zu9/9zgkka621VqI+qAQBCNQlEBbo9d269957jaLcz5kzx3nAHnPMMebUU0813bp1q9uYHAhAAAIQgAAEIAABCFQ4AcTICl8gzIMABCBQ6QS8WHLDDTe4YDetWrUyBxxwgBk5cqTZZZdd0iL5hkUWP6+4PF/GFQKNlcDUqVPNbbfdZh5//HGjsyF79+7txP799tvPtGvXLg0L36E0HDxAAAIQgAAEIAABCFQ4AcTICl8gzIMABCBQTQQUefv22293W7gVebtTp05m9913N8cff7xRhO6mTZtW03SwFQL1SkDbsMePH+8iYr/77rtGHsYS9hVIatttt835/UGUrNflYjAIQAACEIAABCAAgQIJIEYWCI5mEIAABCCQmcCPP/7oBJX77rvPXT/55BMX8XfYsGFm0KBBRleEycz8KKk9AnFC4c8//2yeeuop8/zzz5vJkycbnccqAXLw4MFmxIgRZsiQIS4qdu3RYEYQgAAEIAABCEAAAo2ZAGJkY1595g4BCECgHghImJTgcvfdd5tnnnnGyGNSgsuAAQPc+ZI777xznW2n9WAWQ0CgQQhoy/Wrr77qPIi1FVvPOtrAC5C6cuZqgywNg0IAAhCAAAQgAAEI1BMBxMh6As0wEIAABKqdQJxnV75z0vmSEmAefvhh5wkmIUZJW7j33XdfJ1BqO6rEGRIEaoGAxPhXXnnFTJ8+3b33OspAHpESHOUhrPc+iQBZiu9fLfBkDhCAAAQgAAEIQAAC1U8AMbL615AZQAACEKhKAhJXdC7eSy+9ZLSdW4LN8uXL3fbtzTbbzBxyyCFmxx13NNtss00gTqqNUpMmTXLOuVjxJtdY0f5z1c9pMBXqhUB03TRoXF62/GxlEh919qO8H/Ve6155LVq0cAGdJD4qsJOizysvnDLZEa7DPQQgAAEIQAACEIAABKqdAGJkta8g9kMAAhCoEQLyFps9e7aLHvzYY48FIo7OlpRwIwFHwmTfvn3dc75nTsYJPUnzMiGOa5+pLvm1SUDnPMrbUZ6Pur722mtmxYoVTlRXBGyd+7jXXnuZ7bbbzjRv3rw2ITArCEAAAhCAAAQgAAEI5EEAMTIPWFSFAAQgAIH6I+A9zCZNmuS8zCT0KE9J27i1tVvCpARKbe3u2rVrQcZlExSzlRU0GI0qhkAha6tATGHhUff+qAF5OUp81Lv429/+1onnUc/HbJMvxJ5s/VEGAQhAAAIQgAAEIACBSiWAGFmpK4NdEIAABBohgWyCjPec1PbXGTNmOFFInpTKV9IZfBKCJFLmEiizjVMs9nL2Xaxttda+nKy98CjBUe+btlsvWrQoQCjxW++b3jV57UqITHLWaZzNcXnBQNxAAAIQgAAEIAABCECgxgggRtbYgjIdCEAAAo2JgLbDvv32285zUttkJU5GBUqJRNoiu8466wSeax06dMiKCXEoK56aKpRno4RGfT799FP3Ps2aNctIjPRJwqNE7i222ML069fPiZCrr766Ly7qyrtWFD4aQwACEIAABCAAAQhUIQHEyCpcNEyGAAQgAIHMBLxAKY82iUpeaPJbvNVSXpQSlzp37my6dOniRMp1113XnUWpa1xCNIqjUnl5cev09ddfu2BJEhh1xuOCBQvcs4TrsOi46qqrmk033dSJ17169XKio7wfvcdjXN+5CGRqkyk/V3+UQwACEIAABCAAAQhAoNoJIEZW+wpiPwQgAIFGRqAQEUdbubXFVh+JlHPmzHFXecWFt94KpcRIfeRRKY+49ddfPxAplS+vynyD5zSyJar36X788cdm8eLFZtmyZU5klIejREeJjVpjffx2fhnXrl0791FgJG2z9muttfXnPBbynkUnHtdHXF60Hc8QgAAEIAABCEAAAhCoZQKIkbW8uswNAhCAAARyEli+fLnbmivB6t133zXvvfeeE6/kUfnRRx+59k2aNDESkZQkVknMkkjZvXt3d+3Ro4fztpS4Ja/LXNvAXUf8k4iAPBf92khslMioPHk3Lly40N1/9913dfrSGkhk1FptsskmZquttnIiswTmTN6vdTohAwIQgAAEIAABCEAAAhAoOQHEyJIjpUMIQAACEKglAkuWLDHz5s1zgtgXX3zhBEuJYxLF5FWpcm0NjyYJXq1btzYdO3Y0bdu2dfcbbrihE8K07deLmhLLdK8zCFXPp0wedJnyfbtSXEsxRrQPMZNoqO3yupegqGeJwUuXLjVi64VHMdWz6kWTWImtxOBu3bo54bdTp05OdFS+xEYxxXs1So5nCEAAAhCAAAQgAAEIVAYBxMjKWAesgAAEIACBKiYgUVLCmTwrdT6hRDVtFfb3evb3SabphUrVlZgp8VLim5KEtubNm7v79u3bOyFTwp9PXtz0z0muYc9PX9+Lh/7ZX+WNuHLlSvcowdB7JWp++mg7tMTEX375xYmMvty3z3SVkOg/moO/17x1L+GxTZs2bJPPBJB8CEAAAhCAAAQgAAEIVAkBxMgqWSjMhAAEIACB2iAgYVLegRLpvIegPCu/+uor95EwKG9B7xUooVMiX/g5fP5hoVQkaG6wwQZOOAwH98mnP4mEPriLrnqWR6Ku3oPRR53W9nV9VC6xUR+1kR3yCPWejFGPyuhzPvZRFwIQgAAEIAABCEAAAhCoPAKIkZW3JlgEAQhAAAIQSETAC5vhyhIvk4iV8l688cYbzfDhw93Zl+ojLPyFhcZw/4V4Xobbcw8BCEAAAhCAAAQgAAEING4CTRv39Jk9BCAAAQhAoHoJSBiMps6dO0ezYp8lWt5www2mS5cuZsCAAa5OWIyMbZQjsxLay0R5l5IgAAEIQAACEIAABCAAgcoksEplmoVVEIAABCAAgdohIJFOn0pKq622mhPtfvjhh8CsYkW8+mqfiaXGL9aGAAY3EIAABCAAAQhAAAIQgEBZCCBGlgUrnUIAAhCAAAT+j0ApRLJMAtz/jZLfncRIpe+//74kQmkm+zLlx1mbtC6CYxw98iAAAQhAAAIQgAAEIFAdBBAjq2OdsBICEIAABBo5gVILcGHPyFL0namPTPlxy5lP3bj25EEAAhCAAAQgAAEIQAAClU8AMbLy1wgLIQABCEAAAiUnIOFPEa/lGUmCAAQgAAEIQAACEIAABCBQXwQQI+uLNONAAAIQgAAEKoxAy5YtESMrbE0wBwIQgAAEIAABCEAAArVOADGy1leY+UEAAhCAAAQyENBWbQWwSXpWY4ZuyIYABCAAAQhAAAIQgAAEIJCYAGJkYlRUhAAEIAABCNQWAe8ZyVmNtbWuzAYCEIAABCAAAQhAAAKVTAAxspJXB9sgAAEIQAACZSTgPSPLOARdQwACEIAABCAAAQhAAAIQSCOAGJmGgwcIQAACEIBA4yHgPSMbz4yZKQQgAAEIQAACEIAABCDQ0AQQIxt6BRgfAhCAAAQg0EAEJEbqzEgSBCAAAQhAAAIQgAAEIACB+iKAGFlfpBkHAhCAAAQgUGEEtE37+++/rzCrMAcCEIAABCAAAQhAAAIQqGUCiJG1vLrMDQIQgAAEIJCFAGJkFjgUQQACEIAABCAAAQhAAAJlIYAYWRasdAoBCEAAAhCofALapv3jjz+aVCpV+cZiIQQgAAEIQAACEIAABCBQEwQQI2tiGZkEBCAAAQhAIH8CEiMlREqQJEEAAhCAAAQgAAEIQAACEKgPAoiR9UGZMSAAAQhAAAIVSEBipBLnRlbg4mASBCAAAQhAAAIQgAAEapQAYmSNLizTggAEIAABCOQioDMjlRAjc5GiHAIQgAAEIAABCEAAAhAoFQHEyFKRpB8IQAACEIBAlRHwYuQPP/xQZZZjLgQgAAEIQAACEIAABCBQrQQQI6t15bAbAhCAAAQgUCQBv00bMbJIkDSHAAQgAAEIQAACEIAABBITQIxMjIqKEIAABCAAgdoi4MVItmnX1royGwhAAAIQgAAEIAABCFQyAcTISl4dbIMABCAAAQiUkQBiZBnh0jUEIAABCEAAAhCAAAQgEEsAMTIWC5kQgAAEIACB2ifAmZG1v8bMEAIQgAAEIAABCEAAApVGADGy0lYEeyAAAQhAAAL1RMCLkWzTrifgDAMBCEAAAhCAAAQgAAEIGMRIXgIIQAACEIBAIyUgMbJJkyaGADaN9AVg2hCAAAQgAAEIQAACEGgAAoiRDQCdISEAAQhAAAKVQEBCZIsWLQyekZWwGtgAAQhAAAIQgAAEIACBxkEAMbJxrDOzhAAEIAABCMQSUBAbxMhYNGRCAAIQgAAEIAABCEAAAmUggBhZBqh0CQEIQAACEKgWAtqqzTbtalkt7IQABCAAAQhAAAIQgED1E2ha/VNgBhCAAAQgAAEIFEpAYqT3jFy6dKnRp1WrVmajjTYqtEvaQQACEIAABCAAAQhAAAIQyEigScqmjKUUQAACEIAABCBQUwS+++478+GHH5rFixebhQsXmscff9ysWLEiLZDNH/7wB9O/f/+amjeTgQAEIAABCEAAAhCAAAQqgwCekZWxDlgBAQhAAAIQqBcC7733nhk7dqwTHzWggthE/y7Zu3fverGFQSAAAQhAAAIQgAAEIACBxkeAMyMb35ozYwhAAAIQaMQEttlmG9O+fXvTtOn//3ukFyIlSiq1bdvWtGnTphETYuoQgAAEIAABCEAAAhCAQDkJIEaWky59QwACEIAABBqYgBcbw2YcddRR5pdffgmywt6R/fr1C/K5gQAEIAABCEAAAhCAAAQgUGoCiJGlJkp/EIAABCAAgQog4EVI7/EYNmm33XZzHpDNmzd32b6ursOGDQtX5R4CEIAABCAAAQhAAAIQgEBJCSBGlhQnnUEAAhCAAAQqg0CcCOktW3XVVc0+++xjVq5c6bPcdc011ySKdhoRHiAAAQhAAAIQgAAEIACBUhNAjCw1UfqDAAQgAAEIVAEBiZHNmjVLC2Sz8847GwmVJAhAAAIQgAAEIAABCEAAAuUigBhZLrL0CwEIQAACEKggAn4rtjepVatWZsiQIS6QjT8zcuDAgb6YKwQgAAEIQAACEIAABCAAgbIQQIwsC1Y6hQAEIAABCFQWgei2bYmTv/nNb9xWbd0rurYibZMqg0BUPK4Mq7ACAhCAAAQgAAEIQAACxRNoWnwX9AABCEAAAhBIRuDrr782b775ZrLK1KoXAu3atTOLFy82uk6bNs2N6T0l68UABslKwK/FVlttZVq3bp21LoUQgAAEIAABCEAAAhCoBgJN7F/eU9VgKDZCAAIQgED1E5g6daphK3BlrWP79u1Njx49zEcffeQ+lWUd1ngC+u7079/fP3KFAAQgAAEIQAACEIBA1RLAM7Jqlw7DIQABCFQvgauuuspsueWW1TuBGrP8pptuMmeddZZp2bKlm5n3xquxaVbVdPwazJw504wZM6aqbMdYCEAAAhCAAAQgAAEIZCOAGJmNDmUQgAAEIFAWAhIi8fIqC9qCOu3Vq5dp27ZtQW1pBAEIQAACEIAABCAAAQhAIB8CBLDJhxZ1IQABCEAAAjVIACGycheV03Qqd22wDAIQgAAEIAABCECgMAKIkYVxoxUEIAABCEAAAhCoNwKIkvWGmoEgAAEIQAACEIAABMpMADGyzIDpHgIQgAAE/o8Agsr/seAOAvkQ0BmSJAhAAAIQgAAEIAABCNQCAcTIWlhF5gABCECgSgggqFTJQmEmBCAAAQhAAAIQgAAEIACBMhFAjCwTWLqFAAQgAAEIQAACEIAABCAAAQhAAAIQgAAE0gkgRqbz4AkCEIAABCAAAQhAAAIQgAAEIAABCEAAAhAoEwHEyDKBpVsIQAACEIAABCAAAQhAAAIQgAAEIAABCEAgnQBiZDoPniAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIEyEUCMLBNYuoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAATSCSBGpvPgCQIQgAAEIAABCEAAAhCAAAQgAAEIQAACECgTAcTIMoGlWwhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQCCdQNP0R54gAAEIQAACDUcglUqZJk2aOAMmTZrk7rt372569+6d2KivvvrKPPvss67+HnvsYdZYYw13/+WXX5rnnnuuTn5cx2E74sqT5H322Wdm2rRprupee+1lWrRo4e6T2PfrX//atGrVKm2YqE3R57TKWR58u+g1S5OCizTGp59+al566SXXxz777GN+9atfJe7P2xht8MILL5h33nnHHHXUUaZZs2bR4oKfS93vokWLzAcffGAWLlxoOnToYHr27Gk22GCDwL5M8wsqcAMBCEAAAhCAAAQgAIEaJIAYWYOLypQgAAEIVCsBL0T+9NNP5oADDnDT+P3vf28uueQSd59EvJk3b17Qds6cOaZXr15G7T788MM6+WFO4b69HeHyfO9nzZoVjLd48WLTvn1710WcfSp4//33g/rvvvuu6dGjR9qQUZuiz2mVEzz49v6aoEmdKmFmdQpthvqeMWNGMC8JsWuttVZc1di8ONsWLFhgJO5+9913Zvjw4SUTI9XvsGHDzLffflt0v2+99ZYZO3as+fvf/+7evfDkBg0aZK655honTMbNL1yXewhAAAIQgAAEIAABCNQiAcTIWlxV5gQBCECgyglI5IpLhYo3SdpF6+QS2uLsC+dF+wuX5XNfrB3RsUpll/pN0lemtYzaleR56dKlZs8993RCZK76ubiFy9Xv0KFDnRCpfpPMK9P406dPN/369TMS1FdbbTV337lzZ/PRRx+ZqVOnOoFyiy22MPLC3GGHHTJ1Qz4EIAABCEAAAhCAAARqlgBiZM0uLRODAAQgUF0EwuJQWAwK3yeZUadOncyNN97oPNLatWuXpElsnei4YftiG0QyVT8uyb4bbrjBFXlvybh6frxi7VDfvq+4cYrNy9V31P5Cx9NW7yOPPNJte87Wh7cn17i+XP2OGjXKzJ07N+hWfRSSli9f7rwqJURuvvnm5sEHHzRdunQJuvrnP/9p9t57byPv2BEjRhh5ULZs2TIo5wYCEIAABCAAAQhAAAKNgQBiZGNYZeYIAQhAoAoIeHGoUFO9CNW2bVtz7LHHum4KFZXibCjWPt+n7DvuuOP8Y8ZrpvEy5WfsyBYU0iZbf+GycvatcSTwnXPOOebaa681v/zyi1lllVXcNWxD+D6pPfn2Gx4j0/3f/vY3M3/+fGfjHXfckSZEqs2mm25qbr31VrPrrrs6QVLekUOGDMnUHfkQgAAEIAABCEAAAhCoSQJE067JZWVSEIAABGqHQFJBMU6ECueF76N0ko6hdtpu+8wzz7gzKJO2yzZ21Jboszz2FHjn66+/DopyjSvPPHnheXEsV/2gY3sTbqu55tNW9XVOosZWu3zahm3w9z/++KPZbLPNzNVXX+0EyN13392dt+jLC72uWLHCBUXy/Q4ePLgk/T7//PPOpE022cRoK3Zc2mWXXYKgSjNnznRViuUUNw55EIAABCAAAQhAAAIQqFQCiJGVujLYBQEIQAACBRF4/fXXnSegBEBFXPYpm+Dz888/m3333de1a9q0qbn77rt9M3eVeHXGGWe44Csbb7yxUZRubb9VMJazzjrL/Pvf/06rH30Ij53JvmgbCWXrrLOO6datm9ltt91MmzZtnDD39NNPZ/R01NmHo0ePNquvvroL3KOo3BLGWrdubcaMGWN++OGH6DDBs9rKYzPcVnNN0lZBaiSyqb6EPQUNWm+99ZyIGBViwyyCwWNuVE/cFVhGc7/88suN5p5ta3tMN7FZEjklnPp+JdoW26/sFfvJkyebq666KnZcZepd8++LjyweZZSxMQUQgAAEIAABCEAAAhCoAQJs066BRWQKEIAABCBQOAGJQwcffLB55JFHjMQhCZE+krd69VGWZ8+e7Qbp3bu36d69u1HEa30uvfRS54H41FNPmWLOqAzPQNvMp02bFownoUtjSVzdf//9zZNPPmn69+8fbmLee+8907dvX+dBKXGrZ8+eTshUG51RKIHsiSeeMI8//rjp2rVrydouWbLERaH+5JNPTPPmzc0222zjrv/4xz/Mqaeearbbbru0sZIKb6onYfgvf/mLOfHEE02rVq3S+sn2IF7Zxgn3K/E1W91s44TL1IeY65MtyXNUIqvqb7/99tmqUgYBCEAAAhCAAAQgAIGaJIBnZE0uK5OCAAQgAIFcBCRYSYgcPny4eeihh0yzZs3MpEmT0oRI9XHyyScbCZHrr7++Ex3ffvttV2/OnDkuOrIEyFmzZjnPyVxjJi2XEClBdNGiRUbjaXxFaZYnn7wbf/e736V1tXLlSnPEEUc4IVIeforarK3SEli1zVveevLifP/99+ucV6m2I0eOdG032GCDOm3FJq6t+ElUkzgqIVLekBI+FRDm2WefNf/617+cR+drr72WZqvaJU0SCuV5mo8Qqb5ziYvhfnPVTWprknraAq/5KHW2EbYRI5NQow4EIAABCEAAAhCAQK0RQIystRVlPhCAAAQgkIiAgqEcdthhZuLEiaZFixbm4YcfdpGOw421fffRRx91WQo8ojMLw6lfv37m/vvvd1nyqHzllVfCxXndh0WxnXbayUyYMMFsuOGGQR/yODzzzDPds4TQ8BmS48aNM/JEVJI9CpASTtqCfvPNN7ssnT95zz33BMVqK6FT6b777qvTdr/99jM33XSTE/jCbWWv+lRb3YujtoT7pC3mYrfuuuv6LHcNzzOtoAofJKzmEld9ua6K2i1xWQzGjx/v3rsqnDYmQwACEIAABCAAAQhAoCgCiJFF4aMxBCAAAQhUIwHvSSjxTV53jz32WGxU47vuustNT0FUhg4dGjtVCZKKkiyxSR6IhSYvWqn9QQcd5LY6R/uSIOnTF1984W+dJ6IedF6jzm6MS7/97W/N5ptv7ookvPokL0alTG1ll7w0+/Tp4+qF277xxhsub88993QM3EPon5YtWzrP0lBWTd1KVMwlrvryU045JTiL9LTTTjMDBw6sKRZMBgIQgAAEIAABCEAAAkkJcGZkUlLUgwAEIACBmiGgMwhffPFFN58ddtjBDBo0KHZu2uKspG3K9957b2wdZa6xxhqu7IMPPshYJ67AC1XRsh49ekSz3HPYy3D58uVBHW3JVsq17Vflb731ljt/0jfO1dbbGNdW29OVvFDp+wxfo2dGhssaw722smsLvfegPfroo10wnsYwd+YIAQhAAAIQgAAEIACBOAKIkXFUyIMABCAAgZomICFSwWp0hp8Citx2221uC2100jpjUUnnIOqTLUm0y1eMDHtDhvvu1KlT+DHrvY8MrUqd7TmE2ZKiXSvJTo0toUxRpZXyaav68i7VdnGlDh06uGvcP9nK4urXUt6XX37porR74VsRzRUV3Au84blqPZTvr+Ey7iEAAQhAAAIQgAAEIFBLBBAja2k1mQsEIAABCGQkEBb+WrdubRT9+oILLjBTpkwxEol0HmT4jEZ1JKFPApG2R2+55ZYZ+/YFOiexFGmVVTKfohIVrDSv8Nw0fiZBSwF7lNSH7yfa1lWI+Sfc1herj1xJW7V9SlLf162WaybWH374odH2dUU513peccUVLrp4dF6+vWfjr9F6PEMAAhCAAAQgAAEIQKBWCCBG1spKMg8IQAACEMhKICzyPPDAA6Zv377mxhtvdFuMFQzm2GOPNU888URaH926dTMzZ840W2yxhQviklZYDw9eqAoP5cVDf11ttdWcZ+LChQsDL8fwXMNt5QWpsrZt27rsuLbh+uF770Hp26666qpOoH311VfNggULwlXdvbdddvnkbfbPtXCNY62t8BK3P/vsMyMxVsGIFHU8LsW1j6tHHgQgAAEIQAACEIAABGqFQGbXi1qZIfOAAAQgAIFGSSCbyOM9ILVt+aKLLnJ8nnzySXPLLbekserevbt7luDmU5ygJrHpjjvuMDNmzPDVSnKNziH67AeRaKr02muv+aw6V9mtcl0VcMcn39ZH4/b54asij/u+w211HqT6i5u3t3X27NnhrmrqPu5d0NZ+L0TqjM/nn38+oxBZUzCYDAQgAAEIQAACEIAABBISQIxMCIpqEIAABCBQWQTihKCwhbnKfV1FOVYQG6XTTz/dLFq0yBe58/70oLMRfWTtoPA/N9qGO2rUKPcJR5qO1ivFc3hO4fv99tvPdf/MM8+knW0ZrjNp0iTjhUFFx/bJt9V29UznYj744IOxbX3AHEXkfuWVV3yXwVVbu6+88srgudZuvODq5yXeehfkEamgR9OmTTPbbrutL469+jXy19hKZEIAAhCAAAQgAAEIQKCGCLBNu4YWk6lAAAIQqEUCOnvv6aefdlOT+JNJtBk8eLDR1uF8k87zGz9+vNlqq63MsmXL3HZteUkqDR8+3Fx33XVOVDrppJNMs2bNzIEHHhicyfjGG2+YQw891AVzWX311c0JJ5yQ7/CufqY5ZessLIRpXG05l9h40EEHucjf/fr1c1uy1cfjjz9ujjvuONedOMlmjak+wm01t/vuu8+orU9xbX3ZIYcc4rYg6/xN3U+ePNlxVPn3339vjjrqKKP1a4gkL9eHHnrIDX399dfXOQ+0UJuy9asyL8qOHDnSbV+PbmH33DV+x44dTa9evZwp/t0Or2uhNtIOAhCAAAQgAAEIQAAClUwAMbKSVwfbIAABCEDA6HxHfXKlb775xqyxxhq5qtUplzi02WabmXPPPddceOGFLrCNxMmjjz7a1ZXIN2zYMDNv3jwn9G2yySamd+/e7ixJfx6iREp5D7Zv375O/0kyihWgmjZt6raYy8tx8eLFZsCAAaZnz55G28zfeecd46OCDxw40DzyyCOmRYsWgVnFtJX4K/Fyp512ct6j8pSUqKvtydOnTzc+mnS5PUaDyYRuNO/HHnvM5Xz33Xehkty32dYjW7/nn39+0Pm4cePM//zP/2QUz1Vx9OjRTuz2jbKN6+twhQAEIAABCEAAAhCAQLUTYJt2ta8g9kMAAhCoQQKZPAXLIdb4PiVGSpRU0nZtLzRK1FNAEm3nXnPNNZ2nnwQ9bedW26FDh7rtzXvssUfGlfBjZKxQggKd3yjPyCOOOMKJjRLN5KkoIVIi7YknnmgeffRRo6A10eTbHn744bFt5T2Zqa2YKPCPhNCVK1e6syXlWfrTTz+5aOWXX355dLiinuuDZab3L5vhS5YsMZ988klalXz6yadu2iA8QAACEIAABCAAAQhAoMoINLH/85uqMpsxFwIQgAAEqpTA1KlTjbzzdO3fv3/WWeg/T6UWngrtM9xOIuW7775r1l57bdOlSxd3zToRWxhun6tuKcoVcEaenPPnzzfrrbee85BUVOckybfV9ur1118/UVs/P4lxYqPzEvv06VPQtvkkNmar420J14nLC5cnvW+IfvL5ziSdB/UgAAEIQAACEIAABCDQkATYpt2Q9BkbAhCAAAQyEii1EKmBCu0z3E7n/OmTTwq3z6ddoXV1DqaiZPtI2fn0E26bVHzz82vXrp3RJ2m7fOxKWtfbEq4flxcuT3pfaf0ktZt6EIAABCAAAQhAAAIQqCQCbNOupNXAFghAAAIQyIuARK+GStGx9RzNayjbSjVuoeJboe1KZXcx/eRaw1zlhYxdjj4LsYM2EIAABCAAAQhAAAIQqA8CiJH1QZkxIAABCECgLAQaUvSKjq3naF5ZJp1np+UQusrRZ57TSlRdduZra641zFWeyLBIpXL0GRmCRwhAAAIQgAAEIAABCFQMAcTIilkKDIEABCAAAQiUnkA5hK5y9Fn6mf//bfnVYmuu+XtR1V9z1accAhCAAAQgAAEIQAAClUoAMbJSVwa7IAABCNQwgVoRiGp4iZhahRHw3xl/rTDzMAcCEIAABCAAAQhAAAKJCSBGJkZFRQhAAAIQKBUBvLtKRZJ+IAABCEAAAhCAAAQgAAEIVBcBxMjqWi+shQAEIAABCEAAAhCAAAQgAAEIQAACEIBA1RJAjKzapcNwCEAAAtVLgK2m1bt2WA4BCEAAAhCAAAQgAAEIQKAYAoiRxdCjLQQgAAEIFESAbdoFYaMRBCAAAQhAAAIQgAAEIACBqifQtOpnwAQgAAEIQKDqCMycOdMgSFbdsmFwAxB48803G2BUhoQABCAAAQhAAAIQgED5CCBGlo8tPUMAAhCAQAYCY8aMyVBCNgQgAAEIQAACEIAABCAAAQjUMoEm1jMlVcsTZG4QgAAEINBwBPSfmPD5kMuWLTPyilQK5zechYwMgcoloO+I/9+0Lbfc0rRu3bpyjcUyCEAAAhCAAAQgAAEIJCSAGJkQFNUgAAEIQAACEIAABCAAAQhAAAIQgAAEIACB4ggQwKY4frSGAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEEhJAjEwIimoQgAAEIFA6An7rael6pCcINA4CfHcaxzozSwhAAAIQgAAEIFDLBBAja3l1mRsEIACBCiKAiFJBi4EpVUuAs1ardukwHAIQgAAEIAABCEDgPwQQI3kVIAABCECgXgiERZTwfb0MziAQqEICCPhVuGiYDAEIQAACEIAABCCQkwBiZE5EVIAABCAAAQhAAAL1TwDRvv6ZMyIEIAABCEAAAhCAQPkJIEaWnzEjQAACEIAABCAAgYIJ4CFZMDoaQgACEIAABCAAAQhUIAHEyApcFEyCAAQgAAEIQAACngAekp4EVwhAAAIQgAAEIACBWiCAGFkLq8gcIAABCEAAAhCAAAQgAAEIQAACEIAABCBQBQQQI6tgkTARAhCAAAQgAAEIQAACEIAABCAAAQhAAAK1QAAxshZWkTlAAAIQgAAEIAABCEAAAhCAAAQgAAEIQKAKCCBGVsEiYSIEIAABCEAAAhCAAAQgAAEIQAACEIAABGqBAGJkLawic4AABCAAAQhAAAIQgAAEIAABCEAAAhCAQBUQQIysgkXCRAhAAAIQgAAEIAABCEAAAhCAAAQgAAEI1AIBxMhaWEXmAAEIQAACEIAABCAAAQhAAAIQgAAEIACBKiCAGFkFi4SJEIAABCAAAQhAAAIQgAAEIAABCEAAAhCoBQKIkbWwiswBAhCAAAQgAAEIQAACEIAABCAAAQhAAAJVQAAxsgoWCRMhAAEIQAACEIAABCAAAQhAAAIQgAAEIFALBBAja2EVmQMEIAABCEAAAhCAAAQgAAEIQAACEIAABKqAAGJkFSwSJkIAAhCAAAQgAAEIQAACEIAABCAAAQhAoBYIIEbWwioyBwhAAAIQgAAEIAABCEAAAhCAAAQgAAEIVAEBxMgqWCRMhAAEIAABCEAAAhCAAAQgAAEIQAACEIBALRBAjKyFVWQOEIAABCAAAQhAAAIQgAAEIAABCEAAAhCoAgKIkVWwSJgIAQhAAAIQgAAEIAABCEAAAhCAAAQgAIFaIPD/AOJWvZzYR18XAAAAAElFTkSuQmCC

== Guidance on selection of security and risk management services

Expectations are often driven by one or more of the following:

. Customers expect or require adherence to  or against a particular standard
. The client was compromised and has the desire to improve its risk and security posture
. A certification has a marketing value
. Regulatory or legal requirements need to be met.
. Need for a security health-check
. Gap analysis against good security practice
. Need for a risk assessment
. Need for a technical vulnerability assessment
. Evaluation of product or services security

Depending on client’s need we can provide a different service.

In order to provide suitable service the following should be clear.

=== Understanding the different approaches to information security

A baseline security approach is focusing on commonly accepted security controls. While a risk-based management approach helps to identify the right level of control and aligned with the business context.

Both approaches have advantages and disadvantages.

A baseline security approach does not requires much involvement of higher management and focuses on supporting assets, like security equipment and associated technology. 

A risk-based approach is focusing on primary assets like information and business processes protected by supporting assets.

It provides basic concepts and explanation about different approaches

=== Factors to consider in choosing a selecting a scope

Depending on the following the scope and nature of the service should be recommended.

. Operation of cloud-based infrastructure vs. classical infrastructure or hybrid
. Industry trends
. Code development
. Supply-chain dependencies
. Role of personal data
. Regulatory environment
. Existing procedures related to risk assessment and business continuity
=== The role of risk assessment

Baseline and risk-based management standards require commonly some form of risk assessment.

Risk assessments plays a central role in management system standards, especially in ISO/IEC 27001. 

In baseline security standards risk assessment is often understood of assessment of residual risks or assessment of the risk of failure of controls.

ISO 31000 is the common reference for management system standards. This standard provides a very high-level approach to risk management and risk assessment in particular. It is not easy to apply for IT and information security assessments. ISO/IEC 27005 is much more specific and a useful reference for implementing an ISMS. Unfortunately the current version of ISO/IEC 27005 is not aligned with last revision of ISO/IEC 27001. 

=== How ISO/IEC 27001 works

The standard ‘specifies the requirements for establishing, implementing, operating, monitoring, reviewing, maintaining and improving formalized information security management systems (ISMS) within the context of the organization’s overall business risks. It specifies requirements for the implementation of information security controls customized to the needs of individual organizations or parts thereof. ‘

‘ISO/IEC 27001 provides normative requirements for the development and operation of an ISMS, including a set of controls for the control and mitigation of the risks associated with the information assets which the organization seeks to protect by operating its ISMS. Organizations operating an ISMS may have its conformity audited and certified. The control objectives and controls from Annex A (ISO/IEC 27001) shall be selected as part of this ISMS process as appropriate to cover the identified requirements. ‘

ISO / IEC 27001:2013 addresses 7 Management areas

. Context of the organization
. Leadership
. Planning
. Support
. Operation
. Performance evaluation
. Improvement
Annex A refers to ISO/IEC 27002 and list 14 areas of controls and control objectives, 

A.5 	Information security policies
A.6 	Organization of information  security
A.7 	Human resource security
A.8  	Asset management
A.9  	Access control
A.10  Cryptographic Controls
A.11 	Physical and environmental  security
A.12	Operational Security
A.13 	Communications security
A.14	System acquisition, development  and maintenance
A.15	Supplier relationships
A.16	Information security incident  management
A.17	Information security aspects  of business continuity  management
A.18  Compliance
 +
The mechanism to select objectives and controls is define in clause 6.1.3 Information security risk treatment

The standard requires , the organization shall apply an information security risk treatment process to:

a) select appropriate information security risk treatment options, taking account of the risk assessment results;
b) determine all Controls that are necessary to implement the information security risk treatment option(s) chosen +
_NOTE: Organizations can design Controls as required, or identify them from any source._ +
c) compare the Controls determined in 6.1.3 b) above with those in Annex A and verify that no necessary controls have been omitted; +
_NOTE 1: Annex A contains a comprehensive list of Control objectives and Controls. Users of this International Standard are directed to Annex A to ensure that no important Control options are overlooked_ +
_NOTE 2: Control objectives are implicitly included in the Controls chosen. The Control objectives and Controls listed in Annex A are not exhaustive and additional control objectives and controls may also be needed._ +
_….”_
The figure below describes the relationship between key concepts.

! Example 1


```
<$viz text="""

graph B {
rankdir=RL;
   subgraph cluster_a {
      label="subgraph";
      a -- b;
   }
a -- c;
}
"""/>
```




<$viz text="""

graph B {
rankdir=RL;
   subgraph cluster_a {
      label="subgraph";
      a -- b;
   }
a -- c;
}
"""/>


[[https://lornajane.net/posts/2011/drawing-flow-diagrams-with-graphviz]]


```
<$viz text="""
digraph {
start [label="Start"];

start -> decision;

decision [shape=diamond, label="Accessed externally?"];

decision -> public [label="Yes"];
decision -> notpublic [label="No"];

public [shape=box, label="public"];
notpublic [shape=diamond, label="Deny to children?"];

notpublic -> protected [label="No"]
notpublic -> private [label="Yes"]

protected [shape=box, label="protected"]
private [shape=box, label="private"]

{ rank=same; decision; public }
{ rank=same; notpublic; private }

}

"""/>

```

<$viz text="""
digraph {
start [label="Start"];

start -> decision;

decision [shape=diamond, label="Accessed externally?"];

decision -> public [label="Yes"];
decision -> notpublic [label="No"];

public [shape=box, label="public"];
notpublic [shape=diamond, label="Deny to children?"];

notpublic -> protected [label="No"]
notpublic -> private [label="Yes"]

protected [shape=box, label="protected"]
private [shape=box, label="private"]

{ rank=same; decision; public }
{ rank=same; notpublic; private }

}

"""/>

! Example 2

<$viz text='  digraph G {
      Consola->nginx [label="Pide encriptar url para cliente", color=green]
      nginx [shape=box];
      nginx->Consola [color=red]
      client-> HAPROXY  [color=red]
      STUPID [shape=box];
      HAPROXY -> STUPID  [color=red]
      STUPID -> Prelanderred
      STUPID -> STUPID [color=green, label="Pasa del nginx al hhvm desdencriptado"]
      vsh [shape=box];
      STUPID->vsh  [color=red]
     }' class="myexample"/>


! More examples

[[https://www.tonyballantyne.com/graphs.html]]

! Other Visualization Tools

[[Example Plant UML]]

[[https://graphs.grevian.org/example]]

[[PlantUML | https://plantuml.com/]]

```
[[plantuml[

@startuml

digraph dfd{	
	node[shape=record]
	store1 [label="<f0> left|<f1> Some data store"];
	proc1 [label="{<f0> 1.0|<f1> Some process here\n\n\n}" shape=Mrecord];
	enti1 [label="Customer" shape=box];
	store1:f1 -> proc1:f0;
	enti1-> proc1:f0;
}

@enduml

]]]



```

! Use case diagram

```
[[plantuml[

@startuml

(First usecase)
(Another usecase) as (UC2)
usecase UC3
usecase (Last\nusecase) as UC4

@enduml

]]]

```



[[plantuml[

@startuml

(First usecase)
(Another usecase) as (UC2)
usecase UC3
usecase (Last\nusecase) as UC4

@enduml
]]]

```

[[plantuml[

@startuml
left to right direction
skinparam packageStyle rectangle
actor customer
actor clerk
rectangle checkout {
  customer -- (checkout)
  (checkout) .> (payment) : include
  (help) .> (checkout) : extends
  (checkout) -- clerk
}
@enduml

]]]

```

[[plantuml[

@startuml
left to right direction
skinparam packageStyle rectangle
actor customer
actor clerk
rectangle checkout {
  customer -- (checkout)
  (checkout) .> (payment) : include
  (help) .> (checkout) : extends
  (checkout) -- clerk
}
@enduml

]]]

[[plantuml[

@startuml
:user: -left-> (dummyLeft)
:user: -right-> (dummyRight)
:user: -up-> (dummyUp)
:user: -down-> (dummyDown)
@enduml


]]]

! Sequence diagram
[[plantuml[

@startuml
Alice -> Bob: Authentication Request
Bob --> Alice: Authentication Response

Alice -> Bob: Another authentication Request
Alice <-- Bob: Another authentication Response
@enduml

]]]


! Activity diagram

!! Example 1

[[plantuml[

@startuml
:Hello world;
:This is defined on
several **lines**;
@enduml

]]]

!! Example 2

[[plantuml[

@startuml
start
:Hello world;
:This is defined on
several **lines**;
stop
@enduml

]]]

!! Example 3

[[plantuml[

@startuml
start
:Hello world;
:This is defined on
several **lines**;
end
@enduml

]]]

!! Example 4

[[plantuml[

@startuml

start

if (Graphviz installed?) then (yes)
  :process all\ndiagrams;
else (no)
  :process only
  __sequence__ and __activity__ diagrams;
endif

stop

@enduml

]]]

! Other Visualization Tools

[[Example GraphViz]]

[[Ontologies]]

! Source

[[https://www.researchgate.net/publication/227280619_Exploring_ontologies_for_semantic_interoperability_of_data_in_emergency_response?enrichId=rgreq-acaf992235f4126ac59293e4ada2726f-XXX&enrichSource=Y292ZXJQYWdlOzIyNzI4MDYxOTtBUzoxMDEwMDA2NDgwNjkxMjBAMTQwMTA5MTgzOTA4Ng==&el=1_x_2&_esc=publicationCoverPdf]]

[[Exploring_ontologies_for_semantic_interoperability.pdf]]

! Abstract 

Emergency response is a complex activity involving many actors and heterogeneous spatial data. Two of the major challenges are the integration and extraction of these data and their transmission to emergency management actors. Although significant progress has been made regarding the systemic and syntactic heterogeneity of data in this context, semantic heterogeneity remains insufficiently addressed. Here, we discuss the possibility of applying the ontology to resolve semantic heterogeneity in emergency response. We propose a concept for a solution to the semantic interoperability problem in emergency management using an ontology by presenting a case study. 

[img[emergencyOnto.png]]

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BAADgAwER&#xA;AAIRAQMRAf/EAaIAAAAHAQEBAQEAAAAAAAAAAAQFAwIGAQAHCAkKCwEAAgIDAQEBAQEAAAAAAAAA&#xA;AQACAwQFBgcICQoLEAACAQMDAgQCBgcDBAIGAnMBAgMRBAAFIRIxQVEGE2EicYEUMpGhBxWxQiPB&#xA;UtHhMxZi8CRygvElQzRTkqKyY3PCNUQnk6OzNhdUZHTD0uIIJoMJChgZhJRFRqS0VtNVKBry4/PE&#xA;1OT0ZXWFlaW1xdXl9WZ2hpamtsbW5vY3R1dnd4eXp7fH1+f3OEhYaHiImKi4yNjo+Ck5SVlpeYmZ&#xA;qbnJ2en5KjpKWmp6ipqqusra6voRAAICAQIDBQUEBQYECAMDbQEAAhEDBCESMUEFURNhIgZxgZEy&#xA;obHwFMHR4SNCFVJicvEzJDRDghaSUyWiY7LCB3PSNeJEgxdUkwgJChgZJjZFGidkdFU38qOzwygp&#xA;0+PzhJSktMTU5PRldYWVpbXF1eX1RlZmdoaWprbG1ub2R1dnd4eXp7fH1+f3OEhYaHiImKi4yNjo&#xA;+DlJWWl5iZmpucnZ6fkqOkpaanqKmqq6ytrq+v/aAAwDAQACEQMRAD8A7r5L8l+TpvJ2hSy6Fp0k&#xA;smnWjSSNaQMzM0CEkkpUknFURf8Alzy9pmu+W59N0u0sp21CWNpbaCKJyh067JUsiqaVUGmKssxV&#xA;2KuxV2KuxVidh5c8vanrvmSfUtLtL2ddQijWW5gilcINOtCFDOrGlWJpiqH86eS/J0Pk7XZYtC06&#xA;OWPTrto5FtIFZWWByCCEqCDirNMVdirsVdirsVYrYaFpGpa55jmv7VLmSO/ijjaSp4oNPtG4jfYc&#xA;mJ+nFVLzd5X0C08p61d2tlHDc29hdSwTJUMjpCzKykHYgioxVl+KuxV2KuxV2KsZh0XStT8w609/&#xA;bLctFJAkRkqeKm3RqDfbc1xVrXvKXluHQtRlisIkljtZnjdQQVZY2IINexxVkGnkmwtiTUmJCSf9&#xA;UYqr4q7FXYq7FXkGi+XIRH5bS18l6Vf6MdDt7zVLt7C3M8k7W0hEcc7ug9VpEj29J6hiWZPh5Kro&#xA;BaG0S/H5aWKKyAm2XT3Dqa3YYlmtY5uP+jwtQW/Oj0CMxUFVu5volvbu0tfyphm+rQ200Vy9usUE&#xA;xmtjcTIjfVHblEy+kBx3fZuGKFt9qEUErQ235TRXEq6Zb6hzNuiwm4mljjksxItpIecSyM1eNTxP&#xA;wgb4pehL5I8lMob/AA9pwqK0NnBUfP4MVb/wN5K/6l/Tf+kOD/mjFUt1Dyz5c03XvLNxp2lWdncf&#xA;pGVfWt7eKJ+J028qOSKDTbFWPeZdGFzqGtXNj5esdZ1WbWre1ea7sIb5orb9F27lqSzWY4qw7zKN&#xA;9qmgKqF16DTNJ07U7uH8rrTVns5FS2gtbKISTh7ueCqp9Xk+FIYUlLKWrzGwG+KrvMscWl+cv0ZY&#xA;eQLTU9KOnNdRyx6UAhuVSd/Sa9VZIkJMMaBPRLfHWv7JVQeuazpek6jNp4/Lez1C7WC5ngigtaPL&#xA;6MtysSIBaSqeaWqtXmGPMFUIBoodf6pBbW+qXsH5VpeQ2kGmyWNmmn8Lid75DJPXlbUH1eoRlQMw&#xA;I+LjWgUvRx5H8lU/5R/TR/0Z2/8AzRiqAg0HQtL876a2mada2LS6ZqIla2hjhLAXFjQNwVa0rirE&#xA;PPOq+UvLQ8w+YtZ8tW+uu2s29o1YIZZwraXbMpBkRyQpXpXviq2PzL+UrwOH8oWz3UEdnJe2sNjZ&#xA;OYlvbVrsNVzGSscUbltgTT4VJ2xVWu/Mf5YWovxL5TtS+mljcgWtlui3f1QsimkrfzBuHA7rz5K1&#xA;FUPaecvymvruzsrLyratd3sCXUIktbH0jE2pDTWpNAZ0Zg9ZBw5KyD7WKo7QtY/LfVNVsNKfyhb2&#xA;15qTstrWzs3TjHZRXzu5X4lVUnRd16svjsqzT/A3kr/qX9N/6Q4P+aMVQVvoujaV5009dLsLewWf&#xA;Tb8zi2iSEOUnsuHPgF5cebUr0qcVY95yn8p6M/mLzJruh2uqx2l1p8VxJNbxzSR28qwxySAmOViI&#xA;kdpOI60pt1xVjl157/Ki10ppLzyTbpqSaJb65PY/UrQRKl08UKwG4lWIVWSdeTFAKV/a+HFU3vfM&#xA;f5Waeup/W/Kdsv6Ks57+f0rSxblDb3UloVjRmjkLFoifscACKtUgYqipLz8vn8r3vmG08s6QbSCa&#xA;1jt5bqO3t4HjvI7eRJ5pvRk9GNRdjmeLUC1xVLX84/lVDFqSS+UIZb3SLSwu76C1sbWSNhqKRsi2&#xA;8swtxJw9UVLhNug7Yqqah5s/KnTtQTT7ryjE15KdS9COGws3DJpau7nkxQKZUjqitvuK0BBKrMI9&#xA;C0PTPNGkyabpltp7zW92Jvq8MULED0iFYxgVocVSLQW87rB5ROmJNJoh0rThMENkLYEwv9Ya49Wl&#xA;2WC+l6Xo7VryxVfaa7+dMzoJvLljaxvptzKzvKjsmpLLItvEUjuWDRtGqM1G/a+0pFMVTHR9b846&#xA;rZayRFbpPYaz9QtJLcDjLaQXSevITI8i19BmRhsQ6tTtiqX3up/nVDpc9xbaTp91qa27m3sgViha&#xA;dpbUoHZrkn4IpLhdmAYx8tuSriq7Vr785YrCe/0/T7G4vxDOLTR/gWP1frVusRlne4Uufqwnf4Sg&#xA;3oQSBiqve6x+bC6tBHZ6HaPpsmo28VxLK6K8WntX15VIuSZHUUP2FoaqFkHx4qu0y8813lr5Sm81&#xA;2EWm64dVuRcW1u6vEFFjfCNlKvN9qPiSOZ3xVu//AE/x8z/oMTm7/S0HqCzNqLr0v0dZ8vQN7W25&#xA;1p/ebca96Yql0ut/nZDoN19W8u2tzrEEGn/VBcTQos8ssYN9z9O4C1ieo/YU/slhiqb6Tr/nGTzp&#xA;+hNSt7NLIWc168sIb1UAvJoLdH/euP3sIjcNTcrJsNgFUumtfzGGtyX0el6e8qQNFDqjxQm94fpT&#xA;mLf1BNH+6NjuE4j49y1dsVXafffnHf6JbnUNPstH1OQuLpYSlxwAu4FjKFpmTe1aZmB5VIH2fs4q&#xA;grHzD+e0mktJd+WLGHVEjuONuJYmikkVOUHxi7JjBYhaUfkQ1TGOJZVkmnTarNrflqbWIEttWk0S&#xA;8fULaI8o47hpLAyohBeqq9QPiPzOKpTrWta7pDa/caPAZpX1hEnYWdxqJSMaPbuKW1q8crF5ESPl&#xA;Wi8qnYYq7UPzI8y2lx6EfkzUbxluLCCR4Vl4cL2JpJZlYw8WW3K8Xo3UjkVxVGaX5lv9f1J/LWs6&#xA;A1nDeaS17dt67uqxXEnoR271igYSuokLgH4OPeoOKqNj5w85N9Tgl8tPGrfUVnuazAD1mt1uaQmI&#xA;lfSFyeNZD9hy3HjuqlNl5x82aulrr/8Agm506+tFWAx3z3BlWC5vUjnWG3SJVdjDb8y7EFNtmUmq&#xA;qJ038z/Nl3pU19N5Hv7aeHTpb0WDfWPXe4juHhW2XnaxoS0aLJXlzo2yNQnFU906/uNR1vy1qFza&#xA;Safc3miXk81hNX1IHlksHaJ6hTyQniagfLFUHrGp6tpsuv3OmRl5/rVoryC1nvzFGbdOT/VLZo5p&#xA;uw4ow616A4qlt/8Amd5rsdGS4XyVqOo6gLO2uZLa3jnjBe4SAsg5ROVZHllDJ8Trw+IANUKp3pXn&#xA;LVrvzUug3eiPZK9tcXiXbSswMVvdyWu6mJKM4EUgFfsvsTxqVUFL5z85x3ctsPLTyRorSLe/v1Q0&#xA;1L6t6fpCKQ1+qfv+Qck9kpiqhbeffOuoRXYtvKNxp8sF3LaxSX5l4vHHcWsSzhEiHJJI7mR9noPT&#xA;NC29FVDR/wA0fNN/p7XU/kfUbGeOG7lezmW4EjvbQmWKOEm2CsZfhX4ynxGicyGCqp1pWrXmr3Pl&#xA;jU73T5dKu7u0upJtOuK+rCxEVUaoQ7e6j5DFVfStD836ZpdnpsGr6e0FlBHbRNJp0xcpEgRSxF6o&#xA;rRd6DFUV9U86/wDV103/ALh0/wD2XYq76p51/wCrrpv/AHDp/wDsuxVi+iecvMurebdW8uRX9hG+&#xA;nKGt7ttOn9O64N6dz6X+nf8AHvLSN/fFWUfVPOv/AFddN/7h0/8A2XYq76p51/6uum/9w6f/ALLs&#xA;VWDRfMNxqWnXOpalaTQadO9ysNtZSwO7tby24Bd7qcAATk/Z7Yq22jeYLfUdQudM1G0hh1CZLiSK&#xA;5s5J2V1git9nS5gHErAD9nr3xVd9U86/9XXTf+4dP/2XYq76p51/6uum/wDcOn/7LsVYvaecvM1z&#xA;57vPKa39gHtII5BfnTp/Se4fm7Wy/wCm7usSc9j2YbcTirKPqnnX/q66b/3Dp/8AsuxV31Tzr/1d&#xA;dN/7h0//AGXYq6y0fW/03Dqep39tc/Vrae2hhtrWS3/3okhdmZnuLitPq4AAA64qprpXmK11PVLi&#xA;xuLP6vqNwlyEnilLoVtobcryWRQf7jl074qren5x/wB/6d/yJn/6q4qpJYeZ0uZbpDpa3UypHNOL&#xA;eUSOkZYxqzepUhDI3EHpU+OKpJp/nHXb7zdqPliKWyW80+CO49ZoJxFKHZlkWNvV3MTBQ/uadjir&#xA;IPT84/7/ANO/5Ez/APVXFXen5x/3/p3/ACJn/wCquKrbTS9afXINT1Ke2Zba1uLaOK3jkQk3EkDl&#xA;mLu/T6v+OKtSaZr8Gq313p9xaCG9MbmO4jkZlaOMR9UdRQ8fDFV/p+cf9/6d/wAiZ/8AqriqkLHz&#xA;OLprsHSxdOixPcC3l9QxoWZUL+pyKqzsQPc4qkkXnHXZPOc3lQS2X1yG3Wc3HoT+iZD8TW4b1f71&#xA;YysnH+U17HFWQen5x/3/AKd/yJn/AOquKu9Pzj/v/Tv+RM//AFVxVbb6Zr0us2t/qNxatFaRzIsd&#xA;vHIrFpuG5Z3YUHDwxVO8VdiqncRyyW8scUhhldGWOYAMUYigah2NDvirARa+UtG19bG51WDS5dIS&#xA;wmsXuZ445XVUnil5+oymQSo7Bz/MeX2gMUMpj86+TZJFjj17TnkchURbuAkkmgAAfcnFKc4q7FXY&#xA;q7FXH264q87XSPL+m+YG0i71SO0vVttLurO8nkijuJ70Xt9JNIqsVDNM8rCRVHRyvfFXomKuxV2K&#xA;uxV2KtSBzGwjYK5B4MRyAPYkVFfvxVhNh5Wih8yNbQTlbrTLTS7lb1lDNLI1zqH1ppFBUE3Kyycv&#xA;Bm5dhirN8VdirsVdirsVdirCIfKyrrP1QXJ/SMFtBf8A6R4bm7N1NJLJw5bJJzdCnLaNuAOKGb4p&#xA;dirsVdirsVdirsVYt561VraxnsJowtvfWsv1W4r1uIvjaEjxaKrrTsjV7YqnOh6o2qWj3qxhLSSV&#xA;xYvWplgQ8Vm8KSEFkp1Qqe+KphirsVdirsVYr501VoANOnjCQXYt5LS4r9qaK6jMsTV2B9NldPEB&#xA;/wCXFU60LVG1XT11ARiO3uHdrM1qZLcMRFN8pVHNf8kjviqYYq7FXYq7FUt1zVJtMS1uuCtZG4SK&#xA;/c15RxS1RZFp2WVk516JybtirF/yoNk+jRNp1hbW1rHY2ENxewxqktzeC3Ek5dlA5rH6qryNTz5j&#xA;tirOsVdirsVdirsVYL5v8xwxarFpuqyTWFnbXX1p5LWeaBp7EabdS15wtG/JLiAhkVuyH9oDFU/8&#xA;saNFa2sWoTQTwandwRi7iuLu5vWj6v6Qe4eT7LMa8e+Kp3irsVdirsVdiqT6nqmpnU00nSYomuvR&#xA;+sXV1cFvSt4mYpEeCUaR5GRuK8lFFYlugZVZ9U86/wDV103/ALh0/wD2XYqlHmvyZ5i8z6JPo2pa&#xA;rYi2n4kyQ2FxHKhVgQUcX1VPY+xIxVNINN84QQxwQ6lpccMShIo102cKqqKKoAvtgBiq82vnZRUa&#xA;npshH7H1CdK+3L649PnxOKojQdXl1G3nFzbi01Cyma1v7YP6ipKqrICj0XkjxyI6kqDQ7gGoxVA2&#xA;t/5m1dXutNa00/Ti7rayXUMt1LOiMV9XgktsI1ciqfExK0JoTQKq31Tzr/1ddN/7h0//AGXYqk3m&#xA;zyRr/mnSDpWqapYfVzJHMHisLiORWjavwuL6q8lqjU/ZJGKpwlh5yjRUTVNMREAVVXTZwABsAAL7&#xA;FW/qnnX/AKuum/8AcOn/AOy7FXadqurR6uNH1iKEzywPcWV7a81imSJkSVWjcsYnUyqQvNuQOx2O&#xA;Kuv9R1q41l9J0j0IDbQR3F5fXUbzoPWZ1jijijkgLMREzMTIOI47Ny2Vd9U86/8AV103/uHT/wDZ&#xA;diqld6T5tvLWa0utR0ua2uI2inibTZyro4Ksp/07oQaYqgvLnlTzH5d0Ky0TTNS05LGxjEUQbTpy&#xA;x7s7n68Ks7Esx7k4qmX1Tzr/ANXXTf8AuHT/APZdiqyO/wDMGn6nZ22ryWt3a6i7QQXNrDJbNFMs&#xA;bSqkkcktyGV1jajh1o1F4nlUKqmp6tqbaquj6PFC12sK3N5dXJb0reKRnSL92hDyvI0T0XkoAUkt&#xA;0DKtfVPOv/V103/uHT/9l2Ku+qedf+rrpv8A3Dp/+y7FUi8xeQda8waho9/qOpae1xolz9atCmnz&#xA;qCStDHJ/p3xIWCuV8VHbbFU9+qedf+rrpv8A3Dp/+y7FXfVPOv8A1ddN/wC4dP8A9l2KobUL/wA1&#xA;aLaSalfyWepafbKZb1LaCW1mjhQEySRh5rpZSi/Fw+GoGxrQYqyQEEAg1B3BGKuxV2KpJaf8prqv&#xA;/bN07/k/fYqxvQ/KP5iaSunR/wCIReRPPNPrQuHlk2eOJEjhNwLmUqPTdvhliAduQXj+7xVfDoH5&#xA;p20Rjh1u3cizeOJpWMgF2LFIo5JPUgkeRfrSmT4XSgrUScqKqhodA/OtYIZJfM1k12trLFLCIY/q&#xA;7XP1ThDL/vMJf96iXf4gOIFF6riqdeWdM/MS3vrGbzDq9veWyaasF/bQRoqvqAk5G5Q+ij0KfDTk&#xA;F/yBiqYeX/8AjreZv+2lH/3TbPFUi/QOra35J0K006/On8JI5buVZLqIvAqSAxg2c1pNuzKdpVG2&#xA;9fslVbqeh/mtWM6PrtpCBeRPJHcp6i/VBc3MkyAmFn5tFJboPioOJpx6lVU1/wAt+fLnzhcappGr&#xA;R2emNpTWttE007Ml8TJxlNsyyWhUc0bmUL1Wn2agqpbqdv8Amt+n7/StK1IJFLpV3PYXk8Qa2ivZ&#xA;L5vq3qStbPVltyAUDECn2KUOKtSaD+drTrcxa5YRTPJp31iNiZbf0IRKb1IYvqsfAyM6AMWZmArW&#xA;PZQqzDUf+Uo0b/jDefqixVbZpz8ya2lacoLQV+YmGKsF8vfl+3kxNN0mTzyI7m7vFaOG4VLeW7gt&#xA;4rWCG2hjWdOTRw2ccfKjVVm+H4tlU4sfy91az/RUDea7qe4spIZpWme4M1zDbzXEjpIwuRI6n64q&#xA;/GXQcFqrDYKpXD+XvnC7ttUgsvOFxYIk1nBp9xCZZ1C6fFCkxaMXQRPUmjkV40Cftc+e1FVXzL+W&#xA;nmIRXF9oGt3MWp0ZLWKGsKq0+oG7Z3PrRqUQPxcGtUDUHJhirMNciEJ0GIMzCO/iQM7FmPGCUVZj&#xA;uT4k4q1ArN5x1hVNGOl6cFPgfXvsVYP5f8n/AJ4aa9n9Y8z2VzGt3YrfLKZpy2n2iGKVUMsbH1p1&#xA;CvI2xZyfiAG6qPsvLf5uw2QabXoJNQeSVp2MoYcX+rhBGTZiJAvpSGn1fo3GvJjIFU60DSvP0evX&#xA;l1rupW9xpv1i/OmwW5ZSlrO0JtI5UEUSs8IikqxLH4upxVKtP8t/mfY2GkwWmqW0MkeqRT661xc3&#xA;WotcWKpGkywy3UbNE0rI7+miqqcqK3UlVQ1Ty7+dR07/AHF+ZbMap6boJrmNPSDO9u9eEdtxPHjO&#xA;ikqaJx6sWYKsovLbVYPLWvHUrv61JKt7JbgKirFblWEMS8UjPwoAW5cjyJ+KlKKpxp3/ABz7X/jE&#xA;n/ERiqIxV2KpHakDzvqgJoW0zTyo8eNxe1p8uQr88VSjUfy7kute1bV4dRWzn1KGSJLmCBkvojJb&#xA;R24X62kqsYU9P1EjCrRzy5Yqop+XWtRvaNH5mu6QzWc12HNwxuBawRQOrkXK19UQ1bnyB5MXVzxK&#xA;qpXrP5e+c7TTXj0XzBdzMy6fa29rG8kCxJbxxwySkm5UBRwMvGLgTU8xN9kqsr8k6Xren2epfpe5&#xA;nuJbrUrqa0juJPVaG0DCK2jDc5NjFEsn2urEkAkjFVby8QdW8zEbj9Jxivy06zB/HFV/kwg+V9Oo&#xA;a0i4n2KsQR9BFMVSXUfy7kute1bV4dRWzn1KGSJLmCBkvojJbR24X62kqsYU9P1EjCrRzy5Yqo2v&#xA;5da1balY3a+Zrt4rcR/XInNwxuTHbQ29XrcmM8vQqxkjc/GxryowVSPV/wAu/PNhpUNrouv3l4z3&#xA;FlEoWSW3FvBb280Lu3+mQrw5SRtxiH7K8o5jWqrM/JOl63p9nqX6XuZ7iW61K6mtI7iT1WhtAwit&#xA;ow3OTYxRLJ9rqxJAJIxVEagwPmvRowfj+r3snHvxUwKT9BdR9OKtafIg826xCSBKbaylCd+BM6hv&#xA;lyQjFXa15TtNV1K1vpLq4gNu0JmghMXp3Atp1uYVl9SORwElTl+7ZCehJGKsef8AJnykdPksY3nh&#xA;ikiMLFRbPUNLbTMSskMkbcpLMOwZSCzuSKkUVa1b8pNGnsv9EnuDd29rqEFms8qMjNqEcyt6kjwz&#xA;SqK3BqU+1tzD8QMVVvy7/L2XytcXVxcSRyST2enWiLG3JQ1naJBNIB6cQT1DGo4gUoinYkgKp55j&#xA;dfrugxV/eS6iOC9zwtp5G+5VOKutCP8AG2qjudM06n0XF9iqd4q8/t/ytu7c35tdaNhJeTRy+vYQ&#xA;PayuYRcFHu3SetxKZLlWkc8Q4jVStMVVpfy31N2uIv8AEVwLCe1vLY2jCZ1rd3E8yu3OdkYxrcKt&#xA;SnM8BR1UlMVSfW/I/n6Ca2jsdd1G/gc6vNdTQzvA6C4shFaxj1bviZFmXklF9NWJIWIYq9B8uWeo&#xA;Weg6fbalObnUY4IxfXBZm5zlQZWBYsePMniK7DbFVnmqaKDyxq80zBIo7K4eRz0CrExJxVHWKMll&#xA;bo4o6xorA9iFAOKq2KuxVLdW0G11GaC5Ms1pf2odba+tmCSoslOa/EGR0bgpKOrLUA0qBiqG/wAP&#xA;6t/1M2pf8i9N/wCyPFUv8w6drun6LeXsHmXUTNBGXTlFpxWo8R9TGKph/h/Vv+pm1L/kXpv/AGR4&#xA;q0fLuqMKN5l1MqeoCaetR81tFYfQcVTLS9LsdLs1s7KMxwqWY8mZ3Z3Ys7u7lmd3YkszGpOKpc3l&#xA;ZI7iebTNSvNKFy7TTwWxheFpHNXdY7mK4WMsd29MLU1J3JOKu/w/q3/Uzal/yL03/sjxVL9f07Xb&#xA;DS3uYPMuomRZIUHKLTiKSTJG3/HmOzYqmH+H9W/6mbUv+Rem/wDZHirv8P6t/wBTNqX/ACL03/sj&#xA;xVEaXoFtYXMt48017qM6iOW+umVpDGpJCKqKkca1NeKIoJ3O+Kr9U0HT9SlguJxLHdW3IQXVvLJB&#xA;KqvTknOJlLI3EEo1VqAaVAxVDf4Xg/6uGo/9Jk39cVd/heD/AKuGo/8ASZN/XFUr8q6Ib/yvo99c&#xA;6lqL3N1ZW087/W5RV5IlZjQHuTiqaf4Xg/6uGo/9Jk39cVVdP8t6bZXrX4M1zelPSW4up5Z2SMkE&#xA;rH6jMsYYgcuAHKgrWgxVdqug2uoTQ3Xqy2l/bBlt762YJKivTmh5B0dG4glXVlqAaVAOKob/AA/q&#xA;3/Uzal/yL03/ALI8Vd/h/Vv+pm1L/kXpv/ZHiqW6rp+u2t9o0EXmXUOF/ePbz8otOJ4LZ3E44/6H&#xA;secK/RiqZf4f1b/qZtS/5F6b/wBkeKu/w/q3/Uzal/yL03/sjxVa3lUXBQarql7qtvG6yC0uDbxw&#xA;l0PJS620Nv6gBAPF6r7YqnuKuxV2KuxV2Kpf5hsLjUNEvbK2KC4niKReoSqcu3IqGIH0HFUJ9b86&#xA;/wDVq03/ALiM/wD2Q4q76351/wCrVpv/AHEZ/wDshxV31vzr/wBWrTf+4jP/ANkOKu+t+df+rVpv&#xA;/cRn/wCyHFXfW/Ov/Vq03/uIz/8AZDiqB1qLzxqGnPappmmIzPE4Y6jcEfupVkptY9+FMVVvr/5i&#xA;/wDVj0f/ALi91/3jcVd9f/MX/qx6P/3F7r/vG4q76/8AmL/1Y9H/AO4vdf8AeNxVKPKfnTzx5m0G&#xA;DWrHy/pkVtcPMiRz6tcCQG3meBqhdOcbtGSN+mKpv9f/ADF/6sej/wDcXuv+8birvr/5i/8AVj0f&#xA;/uL3X/eNxVR0GDzvpeh6dpjabpkrWNrDbGUahcKGMMYTlT6iaV44qjvrfnX/AKtWm/8AcRn/AOyH&#xA;FXfW/Ov/AFatN/7iM/8A2Q4q76351/6tWm/9xGf/ALIcVd9b86/9WrTf+4jP/wBkOKu+t+df+rVp&#xA;v/cRn/7IcVUHtfNF/qukzX1nY2trp9y9zI8F5NcSNytZ7cKqNawDrODXl2xVkWKuxV2KuxV2KuxV&#xA;2KuxV2KuxV2KuxV2KuxV2KuxV2KoTV9Tt9K0m91S5DG2sIJbmYIAWKQoXbiCQK0XbfFWIfk3Bc6b&#xA;5Q/w9fqI9W0W4miv4wwYc7tvrystKfCUugOnUHFWdYq7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FX&#xA;Yq7FXYq7FXYq7FXYqlD+cPK6SvEdTty8TGOQK4fi6mjKStd1OxHbFVv+MvK//Vyh+8/0xV3+MvK/&#xA;/Vyh+8/0xV3+MvK//Vyh+8/0xV3+MvK//Vyh+8/0xVKfNmreVtd8t6hpP6TgSW6hYW8jMwCTr8cM&#xA;h4ivwSqrU7074qkv5d+dNG1KLUfNGpTxWN5rMsapas9Wjt7OMQorAbVM3qv40YfIKGYf4y8r/wDV&#xA;yh+8/wBMUu/xl5X/AOrlD95/pirv8ZeV/wDq5Q/ef6Yq7/GXlf8A6uUP3n+mKuPnPysASdThAG5J&#xA;P9mKprbXNtdW8dzaypPbzKHimiYOjqwqGVlqCD4jFVTFXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FXY&#xA;qk/nKee38oa5PbyNDcRafdPDMho6OsDFWU+IO4xVKPMXmSTyrdaDoGjaQlzHeRypDGpuljghtTDG&#xA;Bxs7S+en78fEyqgpuwqMVQ8f5ueXzr91o89lfW31U3IOoSxw/Vn+p/WBJxKSvLv9Rn48ox9g+Iqq&#xA;p6f+cXlq/wBNOo21tdSW8Vrf3t2Y2tJvRj05Y2lDNDcSo7OJ04CJn6/FxoaKr1/N3y4uoaZpt3bX&#xA;Njf6lLNbi2uHtBJDJBcPa8XVLhzJzliZQYPUA6txG+Kqml/mpo2pWthPDp98j30yxG3kFsHhjaOC&#xA;UTykTlDH6d5C1I2Z/ipxqCAqmuhedNM1u91izs4Z1m0SRob0zKqr6qzTRcFIZjUrbiXcf3ciHqSA&#xA;qw7QPz70HV9F1DV00+YwaVZ6fPewwSRvKLu/leJ7RBKYEZoWVfiLAty+yD1VTuD82fL8812sdpeG&#xA;3tNNfVheMsCQyxR21vdtEnOZXEgivYj8aqu/2tsVatfzZ0K6i0maCxvmh1VokdykCi0aa6ayQXAa&#xA;YHedGX90HpSp2Iqql1v+evli8sLa803TtQ1FbqdrdIrb6m7Kw+qhS5NysY5tqEK05clYkOFKtRVH&#xA;yfnD5Tje1jkW4WW70Y6/HCRD6gthFJN6ZT1eRl4QP9mqCm7jktVUw8v+e4Nb1CztItOubT61b38z&#xA;m6MIeKTTruO0lhdYpJgWLycgVYinv0VRXleGK3vvMdtCojt4tT5RQrsqGaytp5OIHTnLK7n/ACmJ&#xA;xVPsVdirsVdirsVdirsVdirsVdirsVdirsVdiqSeef8AlCvMH/bNvP8Akw+KovVvLvl/WTAdX0y0&#xA;1I2rF7Y3cEc/psaVZPUVuJPEdMVXroeirP8AWF0+2E/Jm9YQxh+TmQseVK1b15K/67fzHFUJ/hDy&#xA;3HpM2l2On2+m2s1vPaj6lDFAY47ofvfT4rxXkQGO1CQK1xVCaB+X3lXRbDT7SKwguZNLaeSxvLiC&#xA;3M0T3UrSzGIxxxpEGZz8MSqoFABQYqlC+YPIIlmjudEW1sdIN1qFlfyWkDwM+jOlnczWqQmWZZLc&#xA;8I1JjVmUfu+SjFXaP5p8j6ZJq9xDcXUv6RePVr2eS0mJaS6nOmRW6wxwrIJVktBCITH6hI35NyOK&#xA;qUeu/lG1jPbjT7MaZeSW0DhLBZLe4RoIb2GV0ijekEa3KEySqqox3I2xVfN5t/KSxS+tpY7W3gsk&#xA;msboHT5VhMUcMqTQo3oenLH6WlvEQhZT6Qj68VxVM7z8tfKlxqOi3kdrHaRaC7S2FhbQ20dusjSe&#xA;tyUekZIz6nxn0nTkft8hiqaWnlTytZxiKz0axto1cyqkNtCiiRmR2cBVHxF4Y2J8VU9hiq8+WfLZ&#xA;kSQ6TZmSO2NjG5t4uS2jVrbg8dojX7H2fbFURDpWlwTJPDZwRTxiURypGiuouHEkwDAVHquis/8A&#xA;MQCcVS7y/wD8dbzN/wBtKP8A7ptniqd4q7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FUn85QTXHlDX&#xA;III2lnl0+6SKJBVmdoGCqo8ScVTKzvLW9tIbu0lSe1uEWSCaMhkdGFVZSOoIxVWxV2KuxVIG8ieV&#xA;ml1CRrNn/ScdxDdRtPO0YjvHElysMZk4QevIA8vpBebfE1TvirU/kLyrMk6NZsouKeq0c9xG3Jbt&#xA;r5XVkkVldLqRpEdSGUn4SBiqmfy58mGCGBdP9OGB4njjimnjFIYI7ZI24SLzi9KCNWjaqNxHIE4q&#xA;kEn5QwXF9qc13frPa6lqFpfG1MMpWOK0vZr70k53DojSyz8XZEVStfg5sz4q9DxV2KuxV2KpF5ak&#xA;SbUPMc8Z5wyanSOUbqxhsrWGTie/CWJ0P+UpGKp7irsVdirsVdirsVdirsVdirsVdirsVdirsVdi&#xA;qTv5R8vNLJItp6LSsZJBbySwKzsas5SJkXkx3JpU4q1/hDQf99Tf9JNz/wBVMVd/hDQf99Tf9JNz&#xA;/wBVMVd/hDQf99Tf9JNz/wBVMVd/hDQf99Tf9JNz/wBVMVS3zJpGgaNoF/qnoSyPaQPJFEbq5Akl&#xA;ApHHX1P23ov04qlHkPylY2cF95e1J57u+0eVB9cM86GeG5jE6yUR1XaRpI9gPse9SoZT/hDQf99T&#xA;f9JNz/1UxS7/AAhoP++pv+km5/6qYq7/AAhoP++pv+km5/6qYq7/AAhoP++pv+km5/6qYq4+T/L7&#xA;Aq0EjqdmRri4ZSPAqZCCPY4qmlpZ2lnaxWlpClvawKEhgiUIiKOiqq0AGKquKuxVLtQ8y+XNNnFv&#xA;qOq2dlOQGEVxcRRPxPQ8XYGmKoX/ABz5K/6mDTf+kyD/AJrxV3+OfJX/AFMGm/8ASZB/zXirv8c+&#xA;Sv8AqYNN/wCkyD/mvFU5jkjljWSNg8bgMjqQVIPQgjFV2KuxV2KuxV2KuxV2KuxV2KuxV2KuxV2K&#xA;oXVdNtdU0y7027Ba1vYZLecDY8JVKNQ770OKsX/Kk6hc+V21bVHEur6nczSX7rsvO2b6koXrtwtl&#xA;PzJxVmWKuxV2KuxV2KuxV2KuxVjvka2WHybpt1BGr31/aRXt1K54tPdTxCR5JZAGarO3WhoOgoKY&#xA;qkkf5mXqx+XTe6ba20+vCF/q/wBeYvwuZliQWoa3jNzJGriSZPg4LvVsVVtC/MPU9R0mHU7jQZLa&#xA;C5vrWzgYSScfTu3CesfrENq54FgD6aupJHFyKsFU48n+af8AEdrfTm2FsLS7e04CT1a8Y0k+P4U4&#xA;SL6nGRN+LAipxVvQLaKw1nWdPtVEVkrQXUNuookb3CMJAijZVZoudB+0zHviqpqWparLqw0fRzBF&#xA;cxQpdXt1dI8qRRSu6QqsSPCztI0Mn7YChe9QMVa+qedf+rrpv/cOn/7LsVd9U86/9XXTf+4dP/2X&#xA;Yq76p51/6uum/wDcOn/7LsVUjfeY9MvrRdVktb2wvZRbevaQSWzwSvX0y6STXPNHI41BBU02IJKq&#xA;sgxV2KuxV2KuxVB6zqUel6RfanKjSx2NvLcvGlOTLChcqvIgVPHapxVBfpfXv+rDN/0kW3/NeKu/&#xA;S+vf9WGb/pItv+a8Vd+l9e/6sM3/AEkW3/NeKpL5OXzPovl+HTrnQ5HmjluZCyXFuVpNcyTL1f8A&#xA;lkGKp1+l9e/6sM3/AEkW3/NeKofUPM2q6fYXN/daFOttaRPPOyz2zERxKXYgB99hirIcVdirsVdi&#xA;qWeZry6stAvrq1cR3MUTNE5AYK3QGh2OKqP6I17/AKv03/SPbf8ANGKsbj1fXdL/AC48rS6RF6ks&#xA;lpZx3Eps7jUPTjFkXB+r2rRynnIiR8gaLyqcVXt5485qrvJ5TlQRGclFeaVpFit7l0C8IKKXmtQu&#xA;3L4XSnJmC4quTz15qN3pqv5YuPq2ofU1kbjcD6u08siTFm9EtREVJB6qRUX+8KMVXFUL5T/NPUNe&#xA;1DSbSTQHtBqb3KvL6spECWtukzs6y29uxq88cY7EklSyipVZTp3/AClGs/8AGGz/AFS4qttCP8ba&#xA;sO/6N03b/nvfYqhPPXkmPzZa2EDXhs30+6+uwyCKOasixSRptJ9mjScqrRtvhZTuFUt1n8vvMOpG&#xA;+ZPNNxavLLLJpkscTGS0EsdyhCsZviIN3syhPhRV6jliqP8AKHlLXtDvrqfUPMdzrUFxaWNulvcK&#xA;1I5rOARSzqWkk3uGq7gAb9SeuKovzklw9hZJbyiGc6hZ8JWX1Ap9Zd+NVr9+KutbjW7XzHa6de3k&#xA;V3b3VndXFUg9Fle3lt0G/N6gi4OKp9iqG1PUbXTbCa+uiRDCKsEBZ2JNFVFG7MzEKoHU4qliX/nS&#xA;RQ66NYxK26xz6jIsqg9pBHaTIGHfi7D3OKt/W/Ov/Vq03/uIz/8AZDiqB12Dztqmh6jpg07TIjfW&#xA;01sJTqFw3D1oynKn1EVpyrSuKo76351/6tWm/wDcRn/7IcVd9b86/wDVq03/ALiM/wD2Q4qoXmu+&#xA;ZtNha91LR7c6dCC13JY3klxPHGPtSCGS2t+aoKlgr8qfZVjtiqJ1DXbtb9dN0izTUL70VuZmkm9C&#xA;3ihcssbSSqkzVkKNwCxt9k1p3VW/W/Ov/Vq03/uIz/8AZDiqB12Dztqmh6jpg07TIjfW01sJTqFw&#xA;3D1oynKn1EVpyrSuKo76351/6tWm/wDcRn/7IcVcbvztTbSdNr2/3JT/APZDiqI0fWXvZLm0urc2&#xA;ep2RT6za8hIvCQH05YpAF5xvxYKxUGqkEAjFUzxVJvOX/KL6l/xhP6xiqc4qxbQNQvNE0e00bUdO&#xA;u2m0yGO0S5tojPDPHCgRJkMZYryUbo4BU1G4oxVTD/FEH/Vv1H/pDm/pirv8UQf9W/Uf+kOb+mKo&#xA;Gwu/LmnCIaf5euLQW6SRwC301ouCTOJJUTgi8Vd1DMB1IqcVRvl+DUJLrUdVvrc2jXzxrbWjlTIk&#xA;ECcVMvAuvN3Z2oCaKQOtcVVtT0IXd5Df213NYahCjRC4g4MHiYhjHKkiujgMKqacl3oRVqqqX6I1&#xA;7/q/Tf8ASPbf80Yq79Ea9/1fpv8ApHtv+aMVd+iNe/6v03/SPbf80Yq6Hy7K9/b3mpajPqDWbGS0&#xA;hdYookkZWQycYkQu3ByByJA7Cu+KoLXdX0nTPOOjy6lewWMT6dqSpJcypCrN69iaAuVBNMVVX8/+&#xA;VGkMOn3y6vdAAm10sG+kFTRef1f1FiDEbNIVX3xVKPMvnPR5bG0tL1Z9JvpNS0zhbajE1vyKX8Ej&#xA;COU1glIRSx9ORqAGvQ4qt896L5zm1CTVtDvmtYrWwf0mSe6do541mYldNjR4Lwy8kUepuvH4QTti&#xA;qnJpn5t3OnfWLbWLe0vbjRVjW1mjiKQau7CRpSVt3JSNSYxUkU3KV3xVtdB/NmSW4luNftlSe0SJ&#xA;LKJUEUVwbQrJIkotkn2ugrLV/sltvsgKphPovna58qahY3d8k2rzXIe2liuJLRTbrLGxiE9tBFNB&#xA;zRXXYO6cvtvSuKpPD5b/ADbju4ohrlsujx2cCCD1HkuFuo7mOVz9Ylt3kkUwK0PN2q1eRWuKp/oF&#xA;r5xt9A1WPzXdW17dtPdNZS2uyiyYVhSQelCOabqdjtT4icVUPKIlrcejxEx0vTfTLfZ5ejJx5U3p&#xA;XFWNN5P/ADktPLsFto/mGCHVo4542lvLiW+UM9xE8btLPbO0r+kkiseCqtaKoG+Kp2mhfmSmoJMu&#xA;sRfVmv45p4TID/ofq3EkkK87WSnwywqKUYhP7xdsVUvMPlr8w5ta1fUNA1OKza4tyulyz3dzJHHI&#xA;YUjVGsGiktUCyq0vrDk5rx40xVU07SPzUh1fSZ7rVrOXThNJLrtrXkZEeygjSO3P1dSqxXaTON1q&#xA;pFdyQFUReeadC0nz1qEF7c/6Vcafp6QWcEclzcuVmvWbjBAsspCqy1PGgqK9Riquv5iaPAivrdre&#xA;+Xo3KhJtUg9OD49l5XETTQR1O1JJFPtiqX+avzC8g3Pl2+gtvMulTTSxFYoo762dmJIoFUOSTirO&#xA;cVdirsVdirsVdiqX6xrdtpiwq0Ut1dXTmO0srdQ00rBSzU5FEVVUVLOyqO53GKoT/EGrf9SzqX/I&#xA;zTf+yzFXf4g1b/qWdS/5Gab/ANlmKu/xBq3/AFLOpf8AIzTf+yzFWl80+lPDHqel3mlRXEiww3Vz&#xA;9WeEyyHikbNbTz8C7UVS4ALEKDUgYqparZWd35z0hLqCOdF07UiqyorgH17HcBgcVVr7yT5UvHWW&#xA;TTYoblP7u8tOVpcr7LcW5ilUewbFUk1/yd5e0+1ttQW3Nzqa6jpQGpXskl3cr/uRtw3CWdnaMN3V&#xA;OK+2Ks2xVh2ueQJtS8ynW4NQjs5vQkiinW2LXsTPbS26iK6EqcIQZvVMXDdwDyGKoZPy41mHUrS7&#xA;g80Xoit5LZpoZGuJDLFbTzSBHkNwC1YpViPPkpoWdXYgqqk+v/l550svL97DoWu3lzPJb2trZWcE&#xA;ktt6ZgiWIycjeQhKsnP900Z3PL1dlxVl3kvSddsP0w+r3U9ybnUbiTT1uJPUMdoWrGoo7qByZyvQ&#xA;hOKkArTFU71NlXTbtmICiGQknYABTirHvJZAuZVP2hpulkr3oYpB/A4qoa55Am1LzKdbg1COzm9C&#xA;SKKdbYtexM9tLbqIroSpwhBm9UxcN3APIYqhpPy41kcfqvmi9hYSWzNK7XEkhitnuSELm4Bb4LlB&#xA;8fJWMfKRX5UCqT6/+XnnSy8v3sOha7eXM8lva2tlZwSS23pmCJYjJyN5CEqyc/3TRnc8vV2XFWXe&#xA;S9J12w/TD6vdT3JudRuJNPW4k9Qx2hasaijuoHJnK9CE4qQCtMVQmoeWvL2uedNSTVbKK6kg03Tj&#xA;BMw4zw8ri++KKZeMsRPHqjDFUXF+Xflb1TLfwS6w/wAQjGrTzagkasQaRx3TSotAKcgvLxJqcVY1&#xA;+b/lbyxa/ltr1xbaRZQTxwAxzR20SOp9Rd1ZVBGKvScVY9Ya15i1a2W/02ytY9MnHOylup5BLNEf&#xA;sTenHGwRXHxIORPEioU7YqiPU84/7407/kdP/wBUsVd6nnH/AHxp3/I6f/qlirvU84/7407/AJHT&#xA;/wDVLFVXRNYuL1rm1vrYWep2LKtzAr+rGVkXkksMhWMvG24BKKaggjbFUPeAf420k03Gm6lQ/wDP&#xA;exxVGeYotVl0HUE0iZoNVNvJ9QlQRFhOFJj/AL5Xj3agPIUxVjust+Zlqbe30L6veqBZxzX2opG5&#xA;oRMLqVo4JbIcgfSNFoOoUeCqL8o6j5/u9R1RPM+k22m2ES2p0qS3lErys8ZN0JKO9PTkoF+Ff9l1&#xA;xVG+c1U+V9RqAeMXIV7MrBlPzBFRirV3/wAprpX/AGzdR/5P2OKp3iqH1HT7XUbGexulL29whjkA&#xA;JVqHurLQqw6gjcHFUsj0nzLCgjTXfVRdlkubWN5SP8to2hQn5IMVXfo7zR/1eYf+kMf9VcVSfzVJ&#xA;5207SGfTdTt7jVLmSO10+3a1ChppmC1Leo1FjTlI232VOKozR38w6rpNnqcGsRLDewxzorWYDKJF&#xA;DcWHq7MtaEeOKoz9HeaP+rzD/wBIY/6q4qo3XlzVNRiNrqurNNp8m1za28K2/rJ3jkflI/BujBCp&#xA;I2rTFUTqOgme+j1Gwu5NP1COMQNJGqvHLCGLLHNEwowRmJQghlqaGjMCqs/R3mj/AKvMP/SGP+qu&#xA;Ku/R3mj/AKvMP/SGP+quKu/R3mj/AKvMP/SGP+quKu/R3mj/AKvMP/SGP+quKojSNFj04zzPPJeX&#xA;92Va7vZ+PN+AoiBUCoiICeKqPEmrEkqpjirCvzo/8ld5hPYWwJ/5GLiqdf458lf9TBpv/SZB/wA1&#xA;4qxxdH1vV/y28rwaPP6Ui2dm81Ly5sOcZsigpPaAy/BI6ScNg/HiSAcVUn0P845tSuxcazZfoptW&#xA;iurJIH9CddOWcu1vKwtG5fulUcQwLEmsgUUZVBWfl78+ns0g1LzFpxk9G9jnltwEZnkjU2cin6ov&#xA;EpLyV6fsb7t0VZHo2mfmOmrXMur6vay6YdUlns4LaNQ400wyLDbyFovtCUxsSDXY/GRtiqZWn/Ka&#xA;6r/2zdO/5P32Kuu/+U10r/tm6j/yfscVY2/lb8xo76+nsNZS19e4llV5Lma7WWMvNJAn1e4hkitV&#xA;QNFE6wfaXk1Q1MVVZfL35mM1xbrrkRspLW8jR2akonluJ2tpKpbo6lInhHJZKLxKhGqHxVLb4fm1&#xA;Z6rpNpLqJnivb65a5ntIVkjjs1+rlOZ+pFUovrlI2dTUgerKRxKqZxHX7v8AKZ5PNFJNVvLSSW9i&#xA;aIRhVncukLRlUp6cTLGQyg7fFvXFWUad5c8vaZO0+m6XaWU7KY2ltoIonKEglSyKppVQaYqmOKux&#xA;Vi3l7RzqGi2l9c6jfme4T1JCt1Ki1JPRVIAGKph/heD/AKuGo/8ASZN/XFUl81aamhWMPmSOW+vj&#xA;oUwvZLV5pJ+UJR4LgqjE1dIJnZfcU74qyDyzp9xYaFZ291T65wMt5x+z9YmYyz8fBfUdqDwxVM8V&#xA;dirsVdirsVdirsVdirsVYr+af/kvtc/5hz/xJcVZVirAo/KieaPy48rWvqWwWCzs7gJeW31y3krZ&#xA;GIc4fUhqV9Xmh5bMoOKr778t9VuJLx4fM99GZzAbRXedhbtBaS2vJAk8VC/reo3DjVgK1xVcn5ea&#xA;2l3pt0PM1z6tp9TF58Mw+spaSySFWYXHM8hN6Y9ZpBx+2JGowVSfyJ5W/MO1v9Dn1u/vhb2312bU&#xA;YJ7kyiRvSjt7WKUG6u61Z5p/hYrXj9iioFWaWRB866vQ146dpytTs3rXpofejA4qiNY0i5urm01C&#xA;wuFtdSshIkTyIZYnhm4mWGRAyNxYxowKsCGUHcVUqqQfzlQVg04nuRLOP+ZeKu9Tzj/vjTv+R0//&#xA;AFSxV3qecf8AfGnf8jp/+qWKqFzpXmHVWhh1Se2t9NSRJbi1tRI8k5jYOiNLJwCx8gOahCWG1QCc&#xA;VRvme/udO8tatqFqQLmzsri4gLDkvOKJnWo7ioxVI9Y8veUNE0pLq80JddumlgtzJLFb3N7cTXMq&#xA;wqzTXbRqau9TVwAOnYYqk36a/JVNPkvrjSrKCOCC3uZ0bS+bql0IygHpQyCQr68Yf0i3DkOVMVVY&#xA;7/8AJdrm3soNL05ru5gjuobX9GrE/oyXYseTLJCnArcNwZGo43+HFU20PR/yz1+xa80rR7CW3VzE&#xA;ZBYrburABqgPHHIKqysrDqCGU0ocVTPysZ0tLuwmme5XT7qW2hmmYvK0ICyRiR2JLlFk4cju1Kmp&#xA;qcVTrFXYq7FXYq7FXYq7FXYq7FXYqxX80/8AyX2uf8w5/wCJLirKsVSJPKstuWTTdZvtOsyS0djA&#xA;LR4YyxJYR/WLeeRVqfs8uI6KAMVXf4f1b/qZtS/5F6b/ANkeKu/w/q3/AFM2pf8AIvTf+yPFXf4f&#xA;1b/qZtS/5F6b/wBkeKozR9FttLimEcktxc3UnrXl5cMGmmk4hOTlQqiiqFCqoUAbDFUfirsVdirs&#xA;VdiqSeef+UK8wf8AbNvP+TD4qlX5geYNOsn0/SdR0uz1Sz1Ms8sF/Iqq/oSwhY4IXimW4uC0waOP&#xA;4fsk8tsVY9dee/y/tdOOpy+WBHa3qiK79WHT4XZbUWwtVkMkqRMnpXaNHyk+BQahaEBVVu/PH5f2&#xA;msyNd+XlF7BDPLb3YtrYTGC3tRqrAesYZQ3JmJVQwV6M5XkDiqdeTPPflfV76LStGsJLNp7NtRHF&#xA;LcQejFKtmp9S2klRuTRlYypIKoaGgFVU58u/3+tf9tGT/kzFiqc4q7FXYq7FXYq7FXYq7FXYq7FW&#xA;K/mn/wCS+1z/AJhz/wASXFWVYqkZ8zS3F3cQaVps+oxWrmGe8R4Y4PWQlZIkaR1Z2jIo/FeIPw15&#xA;AgKr/wBL69/1YZv+ki2/5rxV36X17/qwzf8ASRbf814q79L69/1YZv8ApItv+a8VV9H1yPUXuLeS&#xA;2msb+04/WbG5CeoqyV9OQNG0kbo/BuLKx6EGjAgKplirsVdirsVdiqXeZdOn1Ly5qunW5Vbi9s7i&#xA;3hL/AGQ8sTIvKnarYqg7bzroLwI13K2n3NP31ndo0U0bj7SsGFDQ9GWqt1Ukb4qqf4y8r/8AVyh+&#xA;8/0xVBnzl5G1rSGUanFNp+oQsjFXkjLRyqVYVHB0NDTswPgcVUNM1DyBpLmawuVEv1eK12ee4kaK&#xA;FndFCsZHZy8zliBycn4qmmKpn5WS5a0ur24ge2bUbqW6jt5RxkSI0jj5r1VmSMOVO61odxiqc4q7&#xA;FXYq7FXYq7FXYq7FXYq7FWK/mn/5L7XP+Yc/8SXFWVYqw+P9NDyK/wChBL+kDdSkfVfq/wBY4Nfs&#xA;ZzD9b/0f1PTLlfU+GvXFUBqOsfmFoulz6pdRxPZ6dYS3Fz9Z9Au8kNlbyUZongVS063C1VeNSNgt&#xA;MVQE11+dc8t4IrMwSXGmMLWZJLEWUF8bCJ0McMiyXTN9dMqH1X4BQvwn7WKp15TvvzHLaU3mTTmQ&#xA;3i6g2oxwSWbx2TNciSxR3Dxu6pb1jrErVO7fzYqncYH+M7g03OnQgn5Ty4qnOKuxV2KuxV2KuxV2&#xA;Ksf/ADBurm28marJbko7Q+k861rBFMwiluNq/wBxG7S/7HFUH5AtoNObX9EslppWlak0enhacI1n&#xA;t4bqSBR1/dzTv7UNOxAVZZirsVdirsVdirsVdirsVdirsVdirsVSTzvFFN5T1SKVFkieBg6OAykE&#xA;jYg9cVd/gbyV/wBS/pv/AEhwf80Yqklvo1/deRbex0YLB6VzL/oqXM2nK8KXMlYlubRXmgHQ1jXt&#xA;TocVatfLv5jxmzSXX0kt4BYCWL4asbY2/wBZJkMPqt69Ljlyff4Ps/FiqDj0D84F0m4La7anWJI4&#xA;I4pOS8F9OSVpDX6p6QLeom/1avEcOv73FVHRb38zZ/N4hu55Roo1fVI5A9qI1/R8McLWpSRoI9vV&#xA;5RirEuGZgzcNlWYR/wDKYz/9s6H/AJPy4qnOKuxV2KuxVCavqUOl6Te6nMjyQ2MEtzLHFxLssKF2&#xA;VORVeRC7VIHviqX/AOINW/6lnUv+Rmm/9lmKu/xBq3/Us6l/yM03/ssxVRvtTvb6yuLK78ralLa3&#xA;UbwzxGXTgGjkUq61F4DuDirG/wAvrjzd5f8AKdlpmqeVdVu9UQyy313HPpTCWaaZ5Wfk18jH7dN1&#xA;GKsi/wAVa7/1J2sf8jdI/wC8hirv8Va7/wBSdrH/ACN0j/vIYqtsvON/dyXUcfljVFls5RBcI76b&#xA;VXMSTAVF6QfglU7HFUV/iDVv+pZ1L/kZpv8A2WYq7/EGrf8AUs6l/wAjNN/7LMVd/iDVv+pZ1L/k&#xA;Zpv/AGWYq7/EGrf9SzqX/IzTf+yzFVbSdea/v7qwm066065tIoJ2W5NuwdLhpUQobeacbG3atads&#xA;VTXFXYq7FXYqk3nL/lF9S/4wn9YxVOcVSGLRNc0+e4/RF/ALC4lkuBZXcDyGOSZi8npSxyxkIzsz&#xA;8WVtyaELQBVV9Pzj/v8A07/kTP8A9VcVd6fnH/f+nf8AImf/AKq4q4x+cqbXGnA9j6M5/D1Riqpo&#xA;+jXNrdXOoahdC91O7WOKWWOMwwpFCWMccUJeXiKyMzEuSSetAoCqa4q7FWP69bjUdf0vR7ksdNlt&#xA;7u8uoFYqJmt3t4o45aU5Rf6SzMh2YgV2qMVYrDr35JyXstkdN0xbiG4+pSILK3lZboyXEawMsKys&#xA;rt9SkYBgKjj3amKqqal+TUsMkjaNZ+h6stujHSuYl9GOJ2ZFSF2KN9YRYyQPUZlCcuS1VXLqX5NU&#xA;RpdKsLeKU/uppdNVYyvoQ3HNm9IiJSl1GB6vEljxAriqK0YflHrV6lhp2l2DXssEl0sDaabeURQy&#xA;LDIx9WGNkKyOFoaNWvgaKp75WMsI1PS3lkni0q8+rW0szF5DC9vDcoruxLN6f1jgGJqQoqSanFVm&#xA;twy6lr1jpDzSw6d9XmvLxIJHheVo3iSGMyRlXEfxuzhSOVFB+HkCqktveflLMbwCSyiXTv8Ae2S4&#xA;5QRxf6TNZgNJNwWpntZEG+9K9GUlVFmH8r1ZkeTTo3V7mNkklSNuVlX6z8LsD+5Ckv4Dc7Yqsht/&#xA;ynMyJDNpJmu3hCKlxDylkuV/0egD1dpUj+D+YDbpiqxZfymNpJdtc6ZFbwxwzXDzTJEYo7kBoWlW&#xA;RlaP1ARx5gVxVHQ+X/KN8k40WeO3vLdmQ3WnT0lhlVitH4MQeLoQySAqaEMOuKpn5d1OW/8ALOma&#xA;pd8Ulu7KC6uOOyBpIld6V7AnFV2heY9A8wWj3miahBqVpHIYXntpFlQSKoYoSpO4Vwae+KoH9KeX&#xA;LXztJZy6rAuu6laQRQ6SzqJmjtWuZfUVK8mBErdv2cVTTVtY0vR9Pl1HVbuKxsIOPrXU7BI05sEX&#xA;kzbCrMBiqpYX9lqFlDfWMyXNncoJbe4iIZHRhVWVhsQRiqvirsVSbzl/yi+pf8YT+sYqnOKsd80+&#xA;f/K/lfUNI0/WbloLrXJTb6aixSSB5FaNCCUBC7zL9rFWQSyJFE8rmiIpZj7AVOKpF5K89+WvOmlS&#xA;6p5euGubKGdrWSR43iIlREkI4yBT9mRd8VWXXn/yva+dLTyZNcsvmC+iNxbW3pSFWjVJHJ9QDgPh&#xA;hbqcVZFirsVdiqSXf/Ka6V/2zdR/5P2OKsR83ax5dt/NFppd3psAh0+Qaq3oSRJeyNaQ3F8ki2ph&#xA;Jkt0lDEyCZf3xp3aqqx/O/kS3hkhuPLJtra8lSGa3aCy5PNqMlwlwskYk4uTJp7BwpZpWA4h9sVQ&#xA;Vx+Yn5cwaZJc3Xl70JtItYJ19CKxrbi9tYxSCV5IvRYQlIwZPT58eKcuNMUJ5+WeneU0mvpNEguk&#xA;k0ZR5fme6jt46fVJpZm4CBV/vWuPVOwXiycVXcYpZF5f/wCOt5m/7aUf/dNs8VXSf8pjB/2zpv8A&#xA;k/FirFvM35cflraafqZn8ttqD+YryKS8s7aVlmursMzoVeWeCOOlXb+8Ude53VQM3/KndX1Cyvp7&#xA;OWTU5EHofDeIY115VST40YQiovFL8W/dl+WxYEqt22o/k6tutzEk62+nyQX4n43/AKrTSV484/8A&#xA;emUstmJpBIhVlAkav2sVQusaR+WGtfWPL+kXzWGs3cr6WkhTUJOJsEhgnjgBeFVpFJGGeNwr0+Lm&#xA;qsMUM+8r+VrXQF1P0GDtql/PqEvFSiq01AFALP0VQWNfiYs1BWmKVvkuNJfIugxuKo+l2isOlQbd&#xA;AemKt+T/ACR5X8naZLpnlyy+o2M0zXMkPqyzVlZFQtymeRvsxqKVpiq258ieVLnzfa+cJrHn5jso&#xA;jBbX3qzDhGyuhX0g4iPwzON074qi/MvlrRfM2i3Oia3bfW9Lu+H1i35yR8vTkWVPjiZHFHQHY4qi&#xA;NH0nT9H0u00rTovQsLGJYLWHkz8I0HFV5OWY0HicVReKuxVAa9p0upaNeWEUixS3EZRJHBZVY9CV&#xA;BUkfTiqjbp5qE6G4msWg5D1RHFMHK9+JMhFfoxVW1Ly/oOqT2txqem2t9cWLGSxmuYI5ngclSWiZ&#xA;1YoaopqvgPDFUcyqylWAZWFGU7gg9jiqC0fQdD0S2a10bTrXTLV3MrwWcMdvGZCApcrGFBYhQK+2&#xA;KtSeX9Bl1eLWpdNtX1iBTHBqTQRm5RCGUqkxX1FFHYUB7nFUfirsVdirH9embT9b03WpYpJNPggu&#xA;rO7aGNpXi+svBIkrIgZygNtxYqDTkCfhBIVV/wDGXlf/AKuUP3n+mKu/xl5X/wCrlD95/piqB1rV&#xA;/IutWD2Go30ctrIQXRJZYSaducRRqEbMK0I2O2Kr7LzB5J06O4+qXka/WJpLqcKZJXeWQ1YgfG5P&#xA;ZVHQUVRQAYqifK6XDrqWpTQvbDVbw3MFvMpSVYkgitoy6ndS62/qcSKryoRUHFVHXL6LSfMFjqt7&#xA;+70t7ae0ubwg+nBIzxSRNKR9iNgjgu2wNAeuKrNS8y/lvqlnJZalquj31lLT1bW5uLWaJqGo5I7M&#xA;poRXpiqkNc/K4FCNQ0QGPgUImtPh9IxmOm+3AwR8fDgv8oxVDi6/J4WLaeJvLwsH4hrTlZeieLmR&#xA;ax/Z2diw26muKpdptp+VdhrX6Yj8wWL3f1681MB7qyCi5vo1hkYcAjfDEpVd6/EeXI0IVZHP5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0oxfGoiGMmD95Xj5PPDL+eCXyrRfuohfGnkHLMGCMl4t+aULSauLc7CThgwmR9BOBiQ8zhTgcljOHODnEy9VI4cQHs1pBVF6cMx5BZIrlgtUuSUDtFQuumxz5fr9jR2ndoaan4t3do8uegz8s+6p9vvBP5tPXx59Ylf1wVrj4X5vS9Vc+kD7sd7Kxlc/GX07+clEU2NFjzcQGPrJaGP08nuDh5raL32/sKEHJBYwCf0+ZHMbZITZSASi4ZRBwiSZRGASGAGScCah4e1/hkzYL0Mp96IVek4KtsDscrLLhd2gApDbSjFPc7QP4B5wIVcirAP0oBKBHChcYU1wCiMvAy3TtgQBcrxMAVGAwkqVoGWsBC3rQKc+wC1u2kWbXQUluIBEYDl+9yJ+9+xAMmPwDD5ck7/Epcxdks9U37qEjyW7KPfVrf+yffu/boF1cg546gSezCgL5RMvENCDRZUQ2OLzVYmp7CyBtWyC++YJrFkgO2aXcRYjnwlc6YESkqbCnOALiFNYSGZXkwiVZRGQJ5fN8moNeEm+iVMQjllXOhliYY3kC6tjngf7U51z+IWu0zuXbttxaGzFsxe2JpO/nrh4If7rdydeGh39IVOd19gfWXMyV2k7sa/zcGfpnsHh/u0DO7b0dpD403PnY1kTE0EuYuVswa/ViThDJNKqQYy5YqjNSPBuIaVnsKYpJVLZ50iL+e7YaRUXb7mN+GgJpnoefe3nf7PrXLDDP9jacby3MrjhaEfnwdqOpsuDA9dfbaNOnMTUVMea2o2BUMPzP+gfuHKgsXF5d2zdY3EsI35AdL4bdK4GrS+WNA55OU4R/szEAywCfxpQrMbIG0CljDXBWwmrZg0olBFV6EQsUV2BiCiJxppwOQ41n0gcmTj2yW8++c0xphpw4z+euD0R24cdmGzm9HCA+ekPYX4NYDdxdhUt2RvS7xQjuqKQk0R4rtIS0ADLRQjTGgIWVbRwVEDIFkE7QYgu6XuOlk+P4WSSorYy1QeS0ZFk5og07xswrwrViPN++ZzqL5lzZjbNPbMJc1EoichMgQPTp1L27wL756NtKO661/5TjiwXA7M56LRHgyuQlAurnM8xJuL2HDKr3QHzEYe2Q/aNaxkC8CCmScnXAU7D5QS4LJZnAdtzWhMkrsDXuA/rAjSdcqG/OvXLPfv+Idjh+2ZX11hfdXDrqY3hwcLkR/hc7bU9Q//y2qOSF3VXbfSHU17kycft+6evhCKiJwkaxWT10uDpMxpN74kAMpEvI6nMx547TWIAubMaYj8EBGSEfbsY+WWgIaVwNyvAYdgp8CbickqATbDbmw1u4VFCYqveVdwX3tRzxhN5vvP2G61Ny4eO0f/tdkPr0b5ayd4TMAeDiiQ/oyU/w5w8xWGcFixMM6BrRZpR8KHTVANT/UXziCQnY4cn2dEjUtxUiXGTU/gw7DXIs+yQoOxGXg32UkHedhC7kexksYJx1OwkBcGToCeVidcbAhK64GX6gLCYfNjsg/0f4FgCYmnsxrQbQhN77jKWdaraMXX5pF6p3JhMrkre7lHJWaZ6ekHyU2ymfnTrEvVR9GfR5E+ml1D/iD3Qnc6WeJZtFyJrs8SzRuJZ5UutcDPsG81GXgm8akzCCufNhCvCIKdkeUoLrQa4ZL6UYcAboKs0qxz+txGlXH+Sg+WmVOqZ6tvfTSa6ftFDnb11iW7Elq4PN0zXQvwhq+NjWB1mQEchyfr21Ppwk/h4nxjmYVFAjM8hW0IIlQSP5pDQbhC4cduhq0azPD4Hm6S0Dh4uIp6Z7W1Py5EPBwY+PNrScpS0R1r4QPfBaHRkfSCwfiQaPdgdoE6dxCje3hG/g06cTN4+u3r1WSw7OXBlpLFx5MpA/+V9DQ37LqfiZwg0q4csXjs7ktggW+kMQiTRkbUtJHIhPxnKOL1RyKEKrZjMeRsBKbOTkR5CqB3PpJ/jvecGw+HdZ3v/4wb37TPfucFU3/dXL/f2HO9aOP0JdWLowMhWosskx8hAl060EEWQqMIFaqE+YCIs+EXwlCGAJ4+kyUXQelwQU5gsQ0DwzrjJag8QrZpAq1xGgFvATqmRNWve7IQk6BdwpbAGxWw0r6CE/kpNL+3nNnjP9BaHsly5XcHzXwR7pwbrvlbtI5/Ht5qi39Aph9TW+HP6zd/9/eHBHx5qbDz0w8F79B8F/RtQJnr0bt/mM8EEeqNgAj2R3y7IbwATGMs4g1giISaYQ0okpC6iA5zAKVhOC8Ib9QLw5zLZe1ACLEf3bNOMdX2nf9nYMG65mLzwh1+Nfmv81V8x1fMePdA9esE9fZYqn75MvTW4e6iHrMNWiHR/BAv5yE64NBXpbITZHLW4+TddIzt9YiGIQHwR5Fo/gTEmcaurYL8r09ty7isl0aPIxM9xEEPlyMgOAJvmOIpmbScFhO/FJbS4EZBygJykgFyc2g7Ma+0Kv9U9dNhd8dCCi97OxtLqrUdjO6+GY5UvPbb12Xm1jYVvBNbVe2p2fGvD/v+Y2NEQ29npC/sKbS2WQPPW+obdHf5Y/eZgaH2sNOQrMDbbq1u21jft667YANIGwDZGAWPej+Ly9MpANNniY07p5eTXeAbCLiOUYxiy/ZIzpCsn2y9VupLnglAYoK8nN5yRcQcOfNEk4+DpcYgcO4Q4XI7iVqJLpVqM6Jw+HYghqJNSHMAC3igFYh0NqrSSipKZpA7JX1NZpISKny5t6asNbWstHasf5Lq6JgfrKQ9tuf3vO8c6PZ7OsZ105u1PTt4YrqgYviG90ZHlAh86dArFdcT/tL44IoKqNT5gRC8wgm0JDosZQQM2NUg1wcCnUVI90HNqIye/yADE4rQXz1d2ffoZDGs4uXFSIVebPZNK4agixziMkIq6Ww4eCpEZskgATcpVCiWpM+ApuUordsWagxoLyBzxSCehNdZnzsE2XxUuNwNWP3s9v7xAlR9wX59Itr4LqcSz8/0dO64+Sf0EkjNGXoTkJNu5cJmIXjibKF0cayw+Ip+IX7FVkI8sKatJgLJEvkvFv39fqI4gI+e6qIcrOObi+Uu3PhcqoQxnK9Fzjou8gb4JosOJOX8oFuTGRthaMCAxLRxl5Hj+0gef/w/hrMY4qdUYYFwnHPXkyDmMk5kOG5B24TiHHOPwkFmqogOcLBCHW2eN6QKwJYjDPYSYA8s9gGq0FKM1ZDpomU5vn1My64NrDBSj0RpsmQ7Xn59NadyChbBJHGyWpmfrnJa2RrTbyz1vKjSpbAts54+ft5dmqkz5lufHkomrV0y5RqXRzb5zBUyS3/vPvb3XN1I/n87v+anYgyxa2PhiI/y7fZ14YQzwzS0Bz5ZI+EYB+EZGiUCHAFkBrfIKsWYGQBdaOQlsfgxY0Ipd1hj11nQ/HZkOUle6ZPUH1nxxdoRE2B0Qs3bTt5EDMnQ/ilvIOraTCXJhm2DAZN1BnKXddgPEWVqTzthZ5gSXZeTnkj2jtayMN2sFfGHRC9U0ksCzCIbQEFgxl40rDSTpcBZBdTxtFxYp4A5OE+AMJgjJJPXk5Qt5RSphZlhZN9HjzGad1dM7cD6uNnkbqyIvViyt+8HOs2P7DLLw67GBU6fW1IefCfef6S7G1NiE2xut89QWbi9u+dd/mB7dEXzk8KHWFUtrscVYXNVE5B6H+KJn4igDzUMbpMzOErnngGIVRO480skj8UqBVR6hOAhy20BOqozPyExwNqNQftdahXIhbyMo3RLgcmF7KhQw5yBxII+kHE5hAvcUIadidu1vXoFbkS6SEfEV4+Oy0GstHYfX+JbtON5a9+IShd5V+0xZZXeDJ6tmTd3OESae7JsKNoWHzvcNXN4Xrgl23gh4y9ccjjXv6Vj0LPGXdrDqdrCqC1WmdqUgDUPE0qpmdqVWaVeakQ2cwvLQsnHYmhJDMSaptjcrt9y7PaXaG3dPdHQ+72sp7giG+pq9xU19S8PbixtCp6KdZ/rD+PP+N/fUhb0bC0oXd+1vbX1uTXmwsDdYVzf0FrFAB/B4GSxgQW7UJ8bWuImwmpliNZd0coXkoSYWyBO4tkIssorlIWUZr9UK70N04Hc6L58PdnBYwe8Yk1Az5wxgh0xdCufmshz6M9kKCLAVHY1KOZoobkd4xyutrQO1ytPP6eXBY5EL/3Pihd11T1VVP1FJSrX4851v7qmv8p/GA7catwcewYbbU5eX1lHw8MVr9oGExAqnhbWVh3pQ3EaEM6ok4ZzKxFSWzkZ2h1lkWeULwunIsirjdEY+myA4Q4KfB222jiA4o01CcFqzRUBwRpvoYDpS/OKyZjByqvClcM0CcCVUuYuUAfVUe0P/idb2F9f65dMd6skD4ScXB2tfW7dmYrB+jLIObvevavThz3e9uSdcu+tMT3n+yQueuZsLq8JDl945dtLTtB38qxIMuJ+5gqwoKsUMLYlFclJaAOE4g4+3qmCfCzggw8tZrpElQyKEvixuthCDmllAAxYz6VoIGrAJxRFKBGVyFpIewQbl4ttDmwLYzsZi8b/y2f0velvc+eWBfR98ME5HB9SjxzizftB+aXT49ik6CjvUWNJPfw56L0crUBt6D8VDRPPzgTkz0fw35Il4BunYFQnO5+WDTGLK9WDIDJZwEUtEvZz+Gl8PG6aCMg4JFVtDgqsHyAZOpvCSXguJb7B7z2ohEmRlkppBVovSw5dAdnwUTtZD+uFpAJx8C2wG/15jznB5fMGlBNdlsZwdjBcKgk1LFiNi0/lsnJYtJz2XiVcUQPsgG9eo88iI3TSpz6pvEZCfDXaMQul30UwFOMPmsrql0hYEEz30MoJ4VgGeuLRQgPdg4bw5DeJJTTjWGMr3LSsobQquG24oXJ6No1fd3kDnUEN+o9uRV991ceI7dbvPb48d2Vhx+Oie8Pbm4nWdZ7KXuvylflewweNpCLp2RSK73qju8yptD1ZUtzuUhcOPNu+Oleo1g+6e6qbBSJnZaCsv9FZu7a97un2xu64z0tTuLq8vqPPL1QWttK28rdLlqows7n1yJ4ld45Dr3hbiwgMziF+IyEYSkY0zEdmaLhFSQolQS+AXIH7yIkl4SaEgi4RE4bsiL0ksrPgqhh0fl4dfWT86Mh5d3fhEAwmsV0Mdb1+cHqY69vc/0DDtJZFqGNjqY4aRBvYhFSiuJf6uI26u8vI0eR9unP1qeVIrR+AJsBHhWUza1NtZsjJnCrkEng6HSktD5Js7zmSXBoOl3qqqL0z0R7ezEXVnIhkSZjVA/AijuJJMCCFOJr4SNpN5s1Llk0mHwqiHIA8cCHEDfI4320mMkBFciIRUi0EJdPlMWUXgYhZHzW5TqaO+dHzXi976N0Ol3lDIWxpKtg/I1V0xWcsXZ45MGuWXJS6Jne58jM+DnQyAHITozcvBPnKdgPApYh9jujbEijVtMmuG734s7SjHx7NNSoM+w1js7mi+LEt8oS50ygaUqj7RC+RyIYNtkhAPa/fBzg+0IDgDp/PxObDVyChLZTPYV/GUXthbkS2fXSsUaUzQZbVCnuNdlOAKQrGGxBkTK0DnHCBh/akDUrmDADmyru7yFUW6Hd9nkNcejfYN5jSOxo69OB5t3zo8Hu3YOkx/dCDcsebR1vUp/zk67ZWatF+DRBbUNGsnm5KHOPcsjxYkucelLSL7kKXTjg3udzfTs10b+Ay/mvZtgbt7PZtkqP8LPN1Vn0mlX7dqpj5jnanPWL++PjPzVmrmbdRMxaC9YeBULHZqoCHVThQ2bKiu3tBQmGpF1FC3583+XW8NEaywiwCH8jXPtbbu71oMQEJAb8mYTA98ZwDfa9EMcJtRJ6A3DnlT/GeAM9jKBKVmzKA2IkaGpNQZ1MbORm04pWJzSsUzuM1mx7Nxm1xBNB76u0jH4U4RuQ0vk4X+Oo3bqgfrkzFmz7ZAMwC37QPv7gtX+SeSHDU4g93qSM2sIxmjLwt+4ibvqtOQyJQp/DpAB4lTTcRMQaR7cBFshjlHGhepAaeqRVykS+MiNXlxC7iIVB0MKVSkvhsV+cpJhbL8K1HR7pCM3XNaGTzW+qWoKFjRfmsn7uTLH7oHFQnrgLoK8rFoeaqilraaDvb4KtJRq9Nvp1hxNQglNVa0FgJvE9as8e41K9VARN/3jbQGF7jshTnVe330R1PtvdZDSmXXwPQgqV2A39uBh1K0KvVbDaUECrLJi8gyL8de450AAZxipWY+5HUftE52plKjycjO85KMPt/E2+cQ38mWsaYphNk588lwBkn0d5VrCr6sWmNLF2sCLbXD0c7VhTXNhf6elkULIgNN7a/e3+TrXdLell/1oMe/qXXxgthwpOfS1i3+2keXFARIac8bilYH1zd4ar09BaWt97t983JZS3Gos65yw0MLGknkKb3zMXVMdgvZ0eMobkbiJkDwHw77yP6OQ2VxRpmu0lCI1M3neLnMmZcjgvOR1yLxTOFteiagNk5l5GlYUrRXKL3QmaAbivz6wQwdo5BzDCKOM4tvUUQ/ktCony09bnkea5N/WNrqqLS7Cld5mzaGsgiiw7ZkYnj6emyNUT2gt5W1PlVPFYAcx8BqcfojWBmts/cLcmnhc2pfKoJKhSEVWeh3bRBIHFXR4jtjaXuA5dL2QCoZib6e3hPMO3Y60tm4Y/n4Pr2i7mj3iRG8iXpi+sT+/qYI9ebt7OPNq98mOraT3yEAbzryfkTgDaVY0ntJQWhWiebucoF94oLNm6G0FdsunEqeeJv+aPpK/aFw+FA95QccANZDiNkPT3bhkyjuJALbXD4feYHFyw1lZcI8k1itseTZZuo12pl6DZuu17zJfK69p15DXTxf9ejvXhTrNfISPezpoTXyTuYm2d6rmZvn36z4rEq4y1bCaUrIrteQdVNPXhc6sm6er/z9Z7/9ymLW+TfzPnv5LyvqnK+Sf75IuMVpnMx2ZsF4jnDMJccvq47F4QwhsgNczn+m/mOgVNpMR1auQklKPNk59xR5cE0GJVepxTpQVq7T9RXX/VdrQqVnDhuz9Uqjy3x07LjJzSqN2caDryX/ePWAKdcMw5bnvg8ucCkMOXC4jqoWe3vCVPXtbMoW3tvQsD88/YngcckWweOy0JNIcAKhIsmxXlIZx1y2l1NfE9715IjWr/j4k5ZZ1UixGEnMJtYdVbM1i+JylZYoQ2qFny3ymVJqRCzPWAP3OrKeTv/IYlE1tk+8Z/PZlLb7rPGx5LBjSbSvwR3IdBrnm1o35dhAwp/WjiwLHVpCFXxxpX4g5lervynT7IzVC7/npEx4J20BvH0fAowt/W7ia3/Iaf6yn0hQIzO/5ESK0du/heOLdybuXFawYmV31udp6hPyG9q7P/jVe0e+/oOnUQf1NGqBdoh6H1nomygK35PwrYevH75u+Prg2ymda4FvM7n+q54piyK5bAqdk42gHtlvoC1H5+jfQ/sZ6hF++jsH6OuI/E8ABN5wjvkRfIvh+yBc/4rUvg7XL0OtshUowNyH4rIcQNcrSPVXmuNBUmH8ivkz0Q7ZFjROv47aoe2g/4TaqVZUKVOiGPA2jv+EhvHNOxMCL2o0Lv87NC7rgG+rcP24rAt08g7cH0UBagqVwj3H6AvIzrxBIhvwfIHEzi/R5V+o+7/kI+ibeMDTKIoYYYgCmgI8SX65cFK6TIFINQHLVNC34Gapj1EOXij1KaTH86Q+jRrQz6S+DJWgM1KfQX+D5kt9OfQQehj1ou1oG1oN2PVhQCCbUR/sCbbBaDFqhrF1cHYjjG+DPLcWjn1oPZzbjJygsRK0APnhG4Q7HoaRL79igXBFN4w9DrOQM0+kz5WgcuHsJphhA9xNrumC0Y3wjE5UBj2/8A0IT5nNqzPNrVPi13kPv7P5WwLrqRYtg95/Xl7xrgeF++4+8/V8PAwybIOx9XBHN/SdcJf0v2LurCP/h+fPP+fwnSEO70crOWVThMf4+Ta+jvzvD87YtpKzNEPnmbZsTu6JRRBHO5dxtCfEyZzL4rSZ8ggEA4QsUyLkQDA/kAgFEPKtEqEEQtEuESoglBUSoQZCVSgRGiDUC0QCQpw0oQ5GtQ4KsFXdE0DqgdTNkAYg9Q+nSSOQhkVpkgXSWJAmTUCy89KkGUhTfpq0AGl+NU1agbTkpckMIK3uNGkDMmNumswE0uZJkW2cxYPwI1usuQj9P4+wFa0NCmVuZHN0cmVhbQplbmRvYmoKNDMzIDAgb2JqCjw8Ci9MZW5ndGggNDczOAovTGVuZ3RoMSA3MDAwCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeJzFWX1wE+eZf97VavVhSd7Vp2VZtmRhC0cWsiXLRhiD4xpjPkI8DlDZZxL8gTEEYoNtiEM5l3AJwWAcaAMMyRAu4TjX56HvyrqWSZvm49JL0huao0ncy1GSabhM6g5h2jSXtjks3/OuBIVM2j9ubu60nn2f5913d5/f8/2ugQCAiCceoKFh7T0Dbu5pAGLA2bx77wuFH78rkY38fOQ3dm5v7wPlR57AE9+5a8AjfStLj/xh5Bd1923efl8y9PfIvwHAbdrc3s/Wi7i0DEft5m1D3c/JuhYAdSmA9GHPpvaurENvR/H6Z3i9sgcnpOOCE8CB98C8nu0DD7f8RjOJfAU+c2Bbb2f7vdLa5bh+IV7/4fb2h/vII+QCQM448p6H2rdv8r5TjfLm4PvJa329/QOzD0I3QC6Tz9O3c1PfHu4be5DHZ8Lzuzd1dFv+eR3K6GpCXmDAGLpLPetOKmP+r36kjE+9Vg8q/jJ5EtTAqyP8RZw8lR65i9DNnWar1PDVv4HebpRgDn9CdwopbTf/1x6Ab7FrXCH3OZMMNOm1/P2CiPI2Qxt0QC/shmFI4nESnoe/hUl4ErbDDngVZPgGPAGPwzH4GzgC9WoJgEIpBcsquropTlfuaqHgW5pDhUC8pkWZ29vieYcSy4KcICWlnn+nhkCQcqWrmuPLfC3eIFWVbsnx0NqmuJfWtgQpX8pu9fq8j8SvuC62uHBdfNb1SYvL56XqQJw27GpRLrS04PPUpca21iAVSuVC8gS+3fNEW5uLAj5GUyrPU6Zqb01pS82SJxYKUl2pZy97yWv4GA9VFa3weShfvJJCU3xk00i7hxELXV5vi2tE4ZrTHHuhPi2d6BK9+MSsUs/PFDiGUk+IagJtcY9nua+hfasn7unqSD+CrTOyN+OrPSOe5SMN7b4Rz4hPeZ2PPZzW4krExyZo7SbG4D0m5U010zler8szPYJqwJtWoDTrMrJ5lWXZpT7PdOblPk981X0uLyUt8REEtMI34vOMrBjxtbMb0rewIUhFZgYzyi0xAIwwfwnACBt87Vs33o6E3WopRRAjB5jaVnb5RjTU0xRf7HoZr1hLp6CW1NbVkVUXROgE5cwWr4uzc3Pc14HS++pcOBBfHWq+tjmeQP/7WmddgngIDtTTSZ2b8m6+y1ZKcRb1gqegEvpA5uYAYwwC/8vHP/7PDhIl4+SP3DB3XbWWD+NxVDneVh8W1MI64X3hfU2lRtbmZo4d2t8qUU7g7vUPXN3wQPbi/4QCLdyK88w4NzF7Xbdfs4/lLeAyocwBXue61OtAhRG7QCYQWpzQ8K5PwrKg/sXihIpDEmQVm1az6YRGyLuxOEHYfETySkVeyVvPeVLzyMlUj3rdF/9QjzmEsAzFf4yR74AXIeFAzcpW7UyasKgyBOFnEmoOCV49Q/XhBK/WB6Zqea0ukMwyO9TGgJwlzCTMWWzWLOoCiSwzI7OMugChOSHKTcsWvXInZ2EXONAFqEWURRKgxnAyWw8SH6DZoqwlgaRG4WQnCcjabMks66yxGNVIsmCLxUC2WiQz5WLULMk2eywm81nIq2Jl5ZFoleSPei0+f5FUVBWR0qND1T05zkvuLaHZ18lwXnt7Xmof19XRGmx2qavEttSH1DCb0J5ONZ8RZnuknztSbzJND859zFfz/eibJfBNSLhRBzQnIvu0M9QSpj4xaeMhnw8ksgnqRKudSfJ+dzZqgRdmCL0rRGFa9iJeryj7EQXvCodls35GDiDjBYSUZUBIfgnx4Wg20xwE5vfhBXAhJC2PkLJiNFuiBgRmqaicF4lWFPsKBY1/CYmE7TZVxGYivsLiqKApXECqrJFwZZWlkB98l4SOjh2sm1zqq/9d6/fe5YZ9HZH6QP/VthPrk5/XP+rjkqm3ifvgxMr1J/tCvvVVtWf/ZXZNrdmxaM1B0nRk15XFHjK8C/EXzV3lDwlxsIAXHgZWhAOyA51Bw/Dm62YohJhPUC5EaGGImqdlK8JVhRNmq+ICzLxWUXYh3izE7cPRak7bzSXJmmxmSAfalppjNF+Ss3hEDRrkLTGZIxmDWqJFDonhzSc2K8cjXL9kyUd+Ccloo4hE/Y3Pbtn9xp6xVOrs/uv2hGm4beN3un881nQgqL661ivOXog17vj9i5OpKxOVOepvf3HJ79/5q/Er78VK0PN75q6p3uL3QgHUQCKPYbTpZhI8w2jUoCE9iiElBOAlAZBteSiYM0aNUgK0OTG0HG+mGsVA5nloFYfN51+AVjGhuEzMyiqHYiSu5xQRnmsaLYqXF7SFOs5s3DZx/+rJgDf27uDJyzu4ggvE/G2X/dfDTnvHq4cnfvmg37U2EjtKmB92ox0m0A656Icj6eikUkQu0M1MGQsc2kDSxEME/VCRuVg1Q7UhWYd20YduuqEL7eISsToGZMGKbmjQzyQKDcxIhRi9ikcWutDxeAfiMUiyXmK2KTAiVGuMFksUMv6oicl6neKXNwE7MNzQQjddkZ2ZL6ahS2lNdJ8i2jPd7ZdIa+BAwVCkJhBM7Nn9+tBU64nW1ceCBR0b2ib7OPd5knO6gLR5m/32L8RG0VGxPLhyb+ryqXe2lAVVem+o8+eoiy6MSSu/D5zgg62ZTCXetJdXNZPMNTp4jMFcZrp5Cngjgs8NU6MouxGnHg1ZhKMbwckiw6uXZIuV4RUdabxGCT2Q5poRNfVKVJ/GWlkVjtgddptV47Xab9kVLN7KaIWfOWLXkRvPCsJ3u3oMs9JPXmxOBn2xa7uvp/7wfa6a648270twgQlieIYnO3ddalx/6VO/qymyhCwiu60lHzT4/onVgzYAVYdwEvKgHxJOhi0X7egIUxsiichm3YwScMZQUqMDN49p1R2irmnKhWU7opTCCbuLWdVu1bFzDuZgl51NuIBNuJxo7HzmxWaSjkMjg0c1ZqpTQq0qWsFCzWFL281NvDav5LB5Mam2fTD8YusOj7mjtqY5RCKpix/PnvqJ6r2V0dbR9/dYThts/oHec8M3DpqbmqyqQaxOe2ev86f4gxCGu+EeuAoJkZloFVYIKxJJhwKAloXkSvTYJaGkXwd5OOEOyctUaLs1IWqYlusQFXimJTmCRJ1IC5FmpWEprtSEkoVpqk6UG9GkTv3MVMzZiAFRqof5GBClMYa91I6o78XrEY2SU2gdAy03FkrmWp1bnF9WWVO7bNU8R4zGJNnsYJ6wpFIyJ0ojEFMSNLvHbZY1hcgtw+AowNFhnjI46xrxLtm6SklhZeWOisqqBVwUz8UZPVZWRWw+dBnmKX6WEdCBqomSytjUvCrFk6IVqG5/oV+wZFjmTXu31kbKdfVV4wf+7eHx7eW7h96K7rk4tLvFoFmywrtl4DwN77t+5lLq2vlXxs79KLR/aHTw7gbH6Oie3Qee2Hno2vrjfuvCaCAwVt7xs8cutK4pJ0fWDgz/YGORe2mwejHPP7Bvbf932g6+t393f1/D+hBnWqFacXDi8Nipo/tZxhnC0w6hB/Rghz5IQKb6U104IaDxqDWUNOlYfSbUodR1LSYULce0rdWj03Ham/UdzzyWAa04JWolEzYKehDRYlmhpKRQcg4r8ByqWzBhEMbgZgnHnOKwkYpKVuisAqaWofEjJDtwNtUTjy6uXl8VakQ/a6irXmm7obU2qa/Emu+OVN9by6JoEKXfh/lSD1+/Q3bKh2Q1UgLmxay/LLZsyIhFBXQHnkWLNoYdlpTO9beJODh+hgT9tMmqbi1Yi5mr0NrEZEA1aq5i77AI3oBElVI550ci8kJ+Jml3+u+KznOE03WUE3G6DItpQZjQ6hCNTcsVKFWF4roVlShVrIKRsSpUY4Wo5OpiXFAcYLPF83FBoJiRgRJcUCzKubjAhgtsuWzW5sAFuTZG5mI6kBfj1YoYqpvjVcy7AxKGPi02y0YvcrmSLBawAChbKJmnwGjjWVhopFuV2LaEYBoMO+yOTEnOZAfmwYUatNQdE4Imw+0nfMnKmU5D1obquqLGGx2DB6vHU66Dvo77R0/bn0m5Tvg2ti0913QiVXJIda2m0XaoppNze5ti6zp/Ojn7UyumFM5y4HRTy9pjgmb2NYX3PnZy5cLojY8Yo6pLa1wd4wexjo+m6zg1RmQ3tqyG7NxwOK1tykVYdVeKev40SxgJZz7TjdOFasp3MjI/D/XoVLpS1rYkssSbTWxCVFpb0YR69LJ8k/8nPYoSOgZ2B26cAtbJfFltzI//jG64wOpU1+STz6ZsJ/wbWxvHV6X1gK59aOmmKzdm31AAu/afXn0bYKUv+JjvxVqYDS6og4ThZrOu1EInS6J5SgEUMXeKomxnLo3Vj1VBu8iqvYGZ2slaacjUOJTSbBM4Fm9cldWsZCMOhe0+/vnY2Q8e5A5/cuz81Qdfmjh79sTZc8+e4arPk6zRU6kvnjufun7yOZJ94XLq8h8+uUyMn6J8e1LAv67Uaj8chYSZyZeP+V+N8iX0TMgibKWdIRmUIkfo/BAl00oly8VKRvQ3axhRahjB6kXt6S7GhDhKGA6MzIRa0DB9F0oJs76I5RDZzNprghsD7CtZRS8yT6k4k4Y5s1rC/jzG4KZD2HZ7b+m32NAo5I7+cs/YKIoafaVv6PWhY6nUue5e4a3Z6+Ruzjm4vmO85+Wx9cOpZqu6tgHt1V+9of+LlydSH53zpT49ZW5WPzOrLynf9h+TH11eyrJCL9b3fswKdui6LTPZwoks5pxCJCnpwPmnrIrtdMKqpCernaUn6630xLKmVcmaGq2CWGKKUGlNTBFZCFETuy1N2f5U1DWS2tb7d0cJFyy53LrSGayPjfYTH/MoJv9T1TuEl8Ts1Tc+sitZ7Ozcx6okWjDI+pEAk1dA/7Ix07nV6F8LQlSaphCWPfqZJJfev3lEWYfSzUcLhXD0oJSyiu1wdFJSMNlcAWaF+eZETm6xIrkQUPyPuqUpIjnns6s2thcqK6+KRhxKH8kKZIgsIOmqqrTYzDJYTgtIPpcuD2fX+iOD9/Q+Flu7pnFsfOiHna3nQk0l9Tu3D/cOVIhvbv3dK23fq/lwb9DfcX95Y7nPW/f0YNeh+oD77cHGtnhDvMqpbTvc+tz5ALMSovapt4IbdmS6MGy80g5rRIcF1ksmSbrnJkbFNXVsi5sfonnTzDVZnTTlsQsmA9otz8TIPLYdMolJbVpN2KMXKJ2YE+HblU7Mlu7BMMXiH+7Vsfe6YwsRlXqDdWUWQ4BvI22ps1J5LLrP7S556Z7+ftVMg97kKCo4V5j6bHD212fGFvkszcFFI09xV5kdedzdj/L3Qz4shkRuZv/gwtwoWnJYbiTM/fQRGTA6VToDThFaEJI9TEBgGwO262bCeW0ai6PK4meEjigJjGhUyqgjPPn02JuR4MUxcuFEKkm6DqZsY6kbgYvfT+UfJ02p51U3OjrE1HtrlpMyU0eHJbU6FWLJjOxYnbqsED8gF5m03GxKkdYLR+ArRKP2UDJPBy4WJ4Uhtq2klbkv1By43g62gN5EBZFqX5azDX+kxpeRmdIIWgv7rDBlyjZaAglk2Ycon2CSzLEEzuEASYwjo2kB+5HbaFqbS0DOsytbvi/hzyZ6ojERDXM+f1TZEfgIRy4e/83KmktnyOTO4KFnHM0TO72LHGFtYahVrvGntjAVWGb/6hfvct8VOzpMj6e6U3XRt6+69VrhuOHp11Wfpb9vgbb7vx4F0MfnJuZ+qduf/iZ8228Ddw3qbzLkvT/z2ff/8aeez74o/d/9+EdgkP8tFPE50MP/HrqR71IthzY+CXvZdW6S9bTpH/cCDGpzYL96F+zn/xW61QHYw+ZVT0Mv3n9WtZHl6duefRR4zIGcYoUN0Jz5zM54DjM5+xzZkVmqgVbc+RBeh3QtuStDEzCQ/AzNgYmIGVqFe6P3MzSPe75XM7QaziGXpgWkAPdP7bATBmATbMNc3IzjZuxytymz65Hbifl5C0r9EHigHBZAGR7lUI3cAB7duG4Qx17owVUPIeWB+bBLWVkOJcgF8VkeiCrUzlvUcjxXoYyMfhjPZQpVj2f25gHlbUF8ugcp9u5NCr8bz5vx3nqF+7py7rwDgedLCG6XmEnZjUf1X8R8J3f7yq/h/X1o652IdDPiTWPtVFCGlXcwbPV4x0MZOYYU6bdhRe5HOVRpQ872fLX/XiBzj1EyCquotikuE3KkRW5g/wmgYssqam1G4pstbioE2uJAVZ5lVBWop4Jn2QugItnABRRe7VmWEHozDI+MenmG0SCjejTDaJHRLMswOmS05WmGUH3myVnsyfrhOXyyrGrYFahvoVas0mRdn+XHAP8NRtuy8w0KZW5kc3RyZWFtCmVuZG9iago0MzQgMCBvYmoKPDwKL0xlbmd0aCA1OTQ5Ci9MZW5ndGgxIDg5MDQKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtDQp4nKVaC1Rbx5meuVfv972SEEI8JK4xJgJkkIWsyDysYIyxgoksU8FiApiH/CBg40ccL8eljksMcZOuE0xcb9p1U8cn9aZzL67ruK3jNHG7Pd2cbDcbcnbbnPSxu16dJD5pm3abxIb950pg7La7292rc+/MPzP3zv+ebwYQRghZ4KFAqKEhfv/w01/6N4SwAVpzN232VSY3fPZrQK8AumvbYPcwki/8GDwU2/bvdVuPO+aAfhzojv7hgcHNF3zPA/0fCDF9A90jdLwFhrZAqRnYdbD/Pxun70dIGUUoe0Wyr7tX6/9FEdA26K9KQoPpccVPEMrbC/Sy5ODeh//yun490NPwzb27hrZ1f71L6oXvJaD/O4PdDw/jR/D3ESqg/Lof6h7sK/5NnRHoUsrD8NDI3ls7UT9CHvp99/CevuEHo8vNQK+C/mMH+nr67cu3AI+FV6FfRQWj0v04uWWalq+f/OzzMv30ta8hlv0tk0BKpFD6Fa9D46l0ybyO+plmKPUqllWwDKNAd11r6yPrEJqHS4VAVUh9gfnUjfAJWY8/Y56inCE2PZa9oQyjH6IpdAa9gL6BZtC30LfRy+hV9AZY5Aa6jL6H3kBvoZ+gd9G/ohS0fIRu4iJ0HB1Dp9DzaBrtQmPoKGpDW9CX0V60A72NvosOonolR1ApQdaNJNqSIE372wgSarOJypuobpPbRtvc/0SwtTy7jOBS978Qg7eMMKUbY4l1QpunjLCl27PdpK4l4SF1bWVEUUpf9QieRxLvuF5vc8G4xC3XB20uwUOU3gRp2N8md7S1wfeUpcaO9jKiKhUL8WMwu/uxjg4XQfAZdam4TG6qW2zSlPKcO+QrI9pS9yid5DX4jJuwRRsEN1EsbyKoJTHRN9HtppXVLo+nzTUhU7E0RSfUpbmzuCwe+KK+1P2PsjiGUrePqL0dCbd7vdDQvcOdcPf2pD9BxxnpzDC1e8K9fqKhW5hwTwjydAL9OKmDkSAfbSB1fZSAd0zyTNWz2R6Pyz07AWqAlzYAN1syvHnkYeZSwT2bmVxwJzZudnkIbktMgEAbhAnBPbFhQuimL6RfoUUZsVAz8MA3RwWgFf4uASZoIXTv6FoqCX3VWgpCTIxTtTX1ChNq4m5JrHFdhR5b6Qyqw3WRCN54yYK2IflJB29J0GcsIfQA90LEBQUWIqD5ulhCAv+8b1tEwm4MBXFvI86+3IW57KUEWkEv8CiTXRrh+XkEMYa8/+PvwSU/Ea+A3zTDM5uZFJNiV9zxG/lf/H71p3+KYcWsUlA+rvxQdZ86S/0X6il1SpOv2aC5oJnTtmgvwe9j3bDuTb1H7zHY5CyADX/vntl+8kHzmt+iAg1azAOZcv7MHFL71TzNa4jJhDqD6uHRq9wC8axG5SJGvjWSWlH6QaWoUv50jcQyUEUiS5uVtFlSq8purpEwbfdzHq7Iw3nqGffcMjw9l1Ru+eTr9ZBjMOqam8Rv4mLIpCsRUfhEnSmFCecj7OwFowVtVHgl1qjzziBWrfWKPPYiUafgeGIMraxw1OCAULg8sKrKX5llt6nUXT2DfHhrRyTecfbUR8VHmqMNkU2HR6Z/WgXzAPfsFaUPFaD7kASieUULmyK5PpHVwYTgfc5ZUZOVkpwamK3OaYXZPHQ2C8/xotEWCpFcbgZpnAXLHDC1tQb7K/MZu83EqKHqsXsCNWxg1XKhUKWub78y3jm9MxwdO9/lP+DDtTefHP/JqdhQMjoaUPR3bQ9tP9HeKn3r6oBC/8NjR9757nMbko+0rqHeVTF/nb0APPpQEklllEeFPkUMPtGoSpFsH7H7xFzK7UqIlVlxhTlFePcsJ3rMKbECe0U1ZXVZUSiEREUZ6AiFiIED3wPejekOks2JvCcUEnPt0O8EQWpxPkhSFVhVzgiByhomI0PxgnwqtT0fUzFB0RW7w9M9Oz5flHjqoa6xFmGgvXk0fDD+8t7O00PVB3fse2b96NnOr7z1lZPheHKrPxYqOJ+/urks1lEf/GJTe1liLDZ0okRT8NxY+2TXqp0ZaS8pHagQ7UeSe0FanU/MAml5n2hmQVRBFtUFEi7DXlKVc7n2h59cRXavjpjLTcR0VSnyto9NxHoViSZreTmeMZl5KMvLSV0OFl1q0IiFkzXiTmtEx0nY6AqFlsqeFtkKVmRv25UKPBh+qmfo+JHB2tY1w8XMpTlbTkmLP/700NqNh8+2P/v26ZPB+JED+w4LxeuZR38w95rNUdF7Krnj3MiaQYiXdpDvdbBmISpH25GUTyVcrkmRUp9oU8lmVepBQp+PoFmRs6WIUEk4i1gClnTaUuJKKEs4jp8xKG354HTEyYlaDRWldDlIhZxgThtHODAyT7QhAuughnrmKp7KkOVQl2OhMO2eixKVM8ElIre3Hn+p98AL4cPC8JrqwQdWKUKnGuPH+4KRh6biXefHoj/nP9cV272zJ3iI6b2CzedjrdVPeldXDr803hir6Ds50PPsQzXR079e9uKXDj+8b6SeenA7RNk1sKkJrUOSFiQmyCdiakizj2ghwswpSaOlEaZhtV5JKwebFkGwWUBcjRZspAMJMYIKS6UJeOwqHaMWqnJwVbCd3TlyPCZoPtSUxY88qGj5wZPH59HcR3P/cOVF7MGq3x+B3BQHrf8AtF6MAhDpu5AkUL17QeFrfaJJBZzUywpfwaeIlkZPlTVFVljEGpjfyqVIOW3Lt6fEddBQtQI0rVKCpmu4GcHrN1E7lPOiM5vaYa2X47+JtNZ8fzidFFbVMMFAOQ5AuZgd7Pnsou5tWZlQKzZhqy2foQlMtkS8eG3cF02uSf7V5sQXegP5FXUFZbGaorqRr27rOrO3/o3J3s6DFfE9keqWcEljZzCwundrtB83V/fF1jo1gaeSLYfbK/wdYy0ViWhdlsZZGxtYGx3rqqrqPJLs2TfQEYiGK1xlhxihoim40hYYqmkd7qAZfWz+OpbYXyI9ciB/2l4XWBMyKryQai6Y5RqmiQfNEgPkeRfEpVyITkiNKyuCC5kXYoVbUh9LRCJbWtdGEgvleEN7ewPcLJOpwOzzNwHrHgJMqEYc2ogkuqoS1g8LBnCh0iBs9Ioqmu142V5qZ4qoLaICrMLmpEQrlAqI7hkGa7SgffAZTWZZEMAXBNbDWj3F5bhYMGG1Al/ADnzhk+RcdfLLuNXnCedp8kIeZfiTa3jH3BRT9NyOnw/tfncH9eDm+esKXhkHfexAUoWclYwpyQFMiflG4GaVj/CzNOUSj0VUAxelzpQYgNJDs68Jg6+ouW8qjI784grqLaW8lOOCFExTUEU6BeVzM5h3ldJeB09y7szCPlzOph0oE8IqO3hKAV5wo+XNk42XOkYOFASjZZcqupt99Qe+tm3fP9//cGSytWtECDeXXAxvW1+ydlTaPX7z/Jn6eGdzyb3eZdYWW03rnqaWYwOhjubpQE28qTjoFSxR59rW3RtiT+6qGwB/2AGxc1ahQi6InqNIgo2FV3JSFRRoU5IZQ0WjT11gBacZbMMqQBsrZNvkZsFKagEMDAasFK2gG6tFtEEw2XxyOsuFcBb1BlBNISdpzJC5IHXxJAt0UmCDLnsWNAiA40OihgUd6UPEzBGDHFLLiujStLAkZdk5gZoU9JCOpmDAxO7ALhyweev90eOR1vgbB6+89Aqvqn+m/ejz/95SWz0Q7J+MF2HTGSIUNwYL7i15NtD87pu3zg+FNp2Zrq8OBX5huMe/FqSfAst7lWdRFmTsbWl/lDgqfY4hJamp9G5DimCfvCiB1A5HijCVYpYlRRwWMQ/kNDjlZUp0ZIEQthDJ40S1vPjkoHSDm0pF1DxRgGx+zs/dkZ2XFwvqJflZPfWeqnaqufPEQKBx/+l4w/E6la0isL2sd7x/ZMeI8uzc5LlgQ+PR7+wb+9FkU6S6f85X9OL56XO7qRfTLHgELJmHqlHahLw+JSmpEAa66OTLEpiB3wIKcngnR80BcEFCWjs1j5LPrCZ3eqKscgfVfzkTj01e7Ov54qrdJTHfoZNPH6jeXtLTeL61XzrShH83+tp4432VTwvF33pm+qJfmKqNNIxfozknAZzdAC3bAHnvRJKRalmGY9mGDIP5BooCMPHIPNoh7u0WMQd8S1MpGsC3DBbRCL5l9FGHE3MAyYhKnmIcjphB19lGGofmEI0zGm13SVIMWs+4UDohBzlZtkTjgWdirQfCmvdftWiDJ2JXfvbRvod29wT6/D3j+HeHXhtvCvv/Bg9+0j4Y3ITtN597YTd+y1d0HiSiun5VjppCtBVJDhlbajPCuLWpC7lGhxICJleRxjN5s6KOT0l5Orr25dG1j/qMLo/jJYPVJmcKiyPtLyCSFYAnL+pQaFEG6i5qj+wnC6YIetLLSPPYuUT/6WSV/taY5dlDkeHVLY2kK/nN8egv8ct9yfaMIOsOi8mGkmMnigtP+Goax199++D4GPhMEMxzTXkFOVECSdnULgxIQKx+0akDG1QSi0/U0ISc4yPZs9T1HRSBVkqObCqJww4LeraDVrOpUC4ZPTMgCLi8hoOgpst5cDG3AcNCYR722wVO4ILjRbHR9kC3UBaoYpjD1669z/qJPtl8tCtgM5HsF3Z9++brrB/ABYrN1SsMoO0gIIwH0N8hyUrVvEmZkrJoxalOEb9PDCtSJOIT7wHGPT5xA9V8zEdMs2ID4KziSoLoKr8avKgBkjgUah+tRWmu4lMzNblRjVcsz0qJm6FlNSwzEqvTg2XEaAPH1+myPMvu8frDa+utkMPF3BoZS5NyTsx2UOtFwvBCOVpN4+geTmIV9bTm4UV1MZQbOEmvW0ZbnPyMKbchKmMHx6qqNHSouo0gshweu7CIvgEzQPyFMV1k78QTy724sFhlXaDAEWJN64r99V5/y9rBJ1pKovl4+yWnOzww2eJZJzhy1nfMXLy88fHvH2o/NVR77djBQ093tB6Lrb4/1N/U2N/b1NR/sXbQq3E+UBPuztcUT7S3jnf4TLpv5H0mED/cWm402UoEb8W+I01HOoPuSE9ffbQrEi4xh5nrPduT2zqT/eBLU2CqD+UoX5dZ2fX+dA6luy6aQ+1ydNvkHEpsFtEAmtYDzM+ieRQWBaIGTaot3F25ki4AXBqwc1PvaWpPJc889X5TPLKtjibE74U73rh66xiTGO2vrbkVofnmEKTDZ5UvAMYxozVIMlC/NlK/1sLWj+41LTIjFNTAPWNQITC92ZESOWDEbIBcomXBqDT4bgMcK7BzKFZbu3lzbW3M9Z5SCEej4XDThk+d7I2bPGCbM3Pt+AzMykEGbkSShk5o9okK8EeXT7Sb0ikYdjY6c2rGruZNkP9ccjIWdXTPYnfJgMGcBgwQPRiUwGYWB5g87RJLWeoss3kd9b4PPBsPJYIPvByvrt2ypbY6PrePqPRbE4qiT99tGe8LWlQvZVhFaSsp8sBKBth7p62k8ctpS7aQUVaMIb3KmWg0K+k6zupCGYP4sUcLWAsMcV2F92Fm7hw+BHh87lnl2ZsH8Rtz/bfO4wsX5uWZAGn+HmYywf5btoGo0qf9wCzPwoLCLTKmpKoFT74XBx0qdeHyqfc8vMZsKvA1H+7HjOK5T1u8goLY8HSGf1UAcoEH7U7zL3JOPyBIkEB2NmL0i/ngb1mVmBTK83hgHoaTsVsO3WeBcE4LPVYQOfA9gcI4RnY5ksOBB0KIwn6E8BwAS0CY+TQRKHShjAIc/vRO6w6/VC+WU9+zaGunOoeOFjae7vrKyQ+izZ373ou2dO5jb0zUd3a2Nvcv+OrorUimQAuxA1LZUMvt2FmUiQbQkuiRpbkrfGwZEQycHETYQq2muJPppWEEfNb/9WIcsTcei3TeHUWwxikswJMV7FePJDPVtWMBUeTp0ycolCOnzA3VLXg2PUERcyjCMyupP+fBsvYHS9lduUxexo6e7+x88dFNmx59sbPz/NHmX48+NHT48NDQX6ZxReP4a6Oj18YbAFGMTl+8OH3q4kXK49TciMILPFL81oduQ7fbqqP4DS3itywwvqNSVmDWnfgtK6PA2/iNW4rf8II6rQvqvI3gHE68FMFRFzgd7/xiGsJFjlSrggMZADc3ojy0M9DcOE4B3LGmewPn5q4xk0swHPUDBPJwCzlUloRoM4nUaFzcG3FpP5A3RVyadyQakbyZJpi72/gZNJe2fOBkS6O3xFXmDj/qY2/M9Gy3va7RdIzcOpU5oaHx5UP9C+dRmpRko7O7NOlzKG6WbpZJfnovtMKePonKp/rC6Z2Q3uZaVkb3Oit40ZG99HDKBfsgLnsF7YPdgOPOfVAx3QZV3bkLcixugiqG6h9tjjUXVTcXVwxsWnXtheS5msHAYDi6vvDe6Ar/QNzv73mqM/mjkZOB8H2BAl9RgYWvXLe19ui5Jt8Txb46X8E9njwTv3Jd37rIcLyyheq7ZP464B+EstHezAmhXpfKpEM/RT4EVUpK+cRCSQ8vGBiCidNHHLOiFpCQolLSyvBHq4Zeh3zK4QAkRLQWkQUnY31yXLAU2zGgBj1sGAGx0uxuSmMjq5/z2D2cbQmyC3Alp3OvYTSPjruCjpKS7eHEwahAwRHm5258e85DDLoXTY6qrqMx/C6VYhJs9g57A7JH61J0rWLTgUB0/oXswQLPrEXUUsd3LIXVNIdo6T6MXwTVqgVQvZiggcXbSHr55PtND0R6733vqlUVeQZSCT7AHLh1bnQgsoERb/InmjvfkM83EVL+CHjz4CEkeeQc4oZ8jahD6W1+/0KWxsAZhh0k8GG3yWmZnvzV/Pg36ZM/d7mJ5F4VVe6Pifbq5Vc+/vBe2qwkDmh3XRXNmo+VRH/1cs3nf70ZOvREZZlRq7RW74yGPi+/8s6Hfyu36y0zBr0Z2o3y00SfxGWZyXY5gHTKzxz6vFzT96tX5Ffclpk8dy6058vPAvqU4OP0LwyCysSBxjQhCZppLQ+2ICEJpljSawyBsSX4NiVyQiQ7hOosKq3BnO3KLVBrjCZnTl5++V0XrrOqtHqD2UEHuf/UqIVDTxsGW2V5aKQhD1hRSY3mt+ZjGv3BpTXsYTMnJKyn4sZBS5ZZYyrgH337KO+xaExO88F3YDm/vs+SB1Qet2fuV+yNW79tfGJD0xPrGf3t2k0ev9V4vKXlica5Mvr3BfWFW0r6nD8z/5ran/6745JrK/M+PY2/88Jfvbvlv78YP+r6Y+2KHFQPd0WmXgF3e+aOZ94b+1PfVOynZ1L//0vRgZr/T+/50A7FETTFSigOZUJhQnHmGAoqVqCYYj+aYrLRISZn/oyiDOpeNKW6gqYUj8DdK4+fot9gPoX396AK5peoRLEHTdI25aegD2qFrWgzUspTMUAzsFLSP2kNZaZXo3ZYcLBCC3UbfiRTx2glbsrUGWTCazJ1FmS8kakrUB16MVNXos+h0kxdBTUEcw6hfWgP2gar8mbUjR5CI4Bs9kBrGdB9aBBtRz1A7UK9kLP6oGcEWoZgnBv4LgdsGoA7DO9shpY/PmKlPCIJbXthHtqzf7GvHPaKtHcQ5t4Jb9Mx/dC6S563EmoB+Q7JX1nKrXuRX3eGY/cfcOxGMWgZgHd2wdg9d3C8Fvw8Aqt3+M/SQfq9TfKbd377z+VtM0i6B0Zth28koe6G1sxf428l6f8O/OF1Cc8fJfg42kg0LQkR4y+0iQ30L87E0raR2GJQ+WxbHlF5OxKIsO51hPXWE4N7ncR+l/HKhB4Iw84MoQNC/5kMoQVCtzpDaNzrLiMtVqMMrYZOTXmGUAGhXpYhlECoJjOEAghlToYw0nm/kyFMQBgdaQJ2FRnWHNBqfpOBVbdhP5BZQDpGF0k7kFmxRdIGpH31ImkF0rZykeSBtBYvkhyQfMEiaQGSy1oks6l45sPzaLHFCQOyX1kkc4B0ti+SLiBz7AtkG7F5qTHwlmF7EUL/Bbhf2V0NCmVuZHN0cmVhbQplbmRvYmoKNDM1IDAgb2JqCjw8Ci9MZW5ndGggMTcxNwovTGVuZ3RoMSAzMDM2Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQ0KeJztln9sHMUVx9/s7t2ez77fZzfxmXYuG7tYd+dLfEnoEcc+rrbBPxosOw57kZVwsc923Dh2Ysf8EkrSNCK6kooWEVCK+ANVBbVVNXvwB4paKUIgoG2q/gBLLVQCRf3DEqiqKKqEnLjf2VuuCa1a9b/+0TntzPu8eTPvvbnZmSVGREFUGlF//76vLfxt9HUi1gBty71j6c65+878DHw7+P7J+eIi2YWdR6VNrizzQDp8Fvw4eN/04sz82MvpF8DvEymlmeKStA/C9B60npmjD03/+fkDC0SuHbD562ypOOW54/2T6F9H/65ZKHxntXEiXfrbOju//GCdRq+Ch2E/cnRhsug5rn8I+xH0/3C++OAiO85+j6mfBfNjxflSvC27F/xT2L+4uLC0vHGIpom8U7J/8URp8YX33joO/qac74HS4emoOY4Y699Gv1smJrP79c9998n26tOnn5btb556bZVU9WX2BLlIc2W0qxsf0CXZ0reUqzStwKNS71JVTa1TNPpcuas330dsA8VNN8D6RbWVE3tS9qnXXD0yMlKrtjY/Rr+jk/QQPUKn6CxdoDl6nt6lM3SOHqdn6Fl6DvwD+jE9TE/SE1SiRbpEF2mJHqBJmqBhOkBF6qV+Okbfd4UEJQVFhsTwiCkGVwqCjJ5Nwp0w9xRs3aMF/rZgkY5NKcGS/A+iIZESSnJo1OwzCvGUUJNHNnGRGzHjIldICS0ph8aN+MPmH2NXCzHYmddjHxViRly4EqboXynYHYUC5nMlfRMHUsKdtLaw8/DOz09MxARhGj1pbbVVuZrKkwyHeDadEnVJ/qh08hqm4UJtHTC40NoGBY2Y5VK5yKXwlVg8XoiVbRqtknTorUYXjAXjmLE+yX9rp9OQ5GmhJyZMzu82+otz3ORTh6tTSDuf9AzXvMzvLvcXjTIvG7Y7Q04ucrBEflIhciUJGOO3Pe1Z3RSPx/hqGcuAQQOIZtyJLW6bBZIGX3WcG9wcGovFBSuYZSQ0YJQNXh4oG0U5oDpENikRlH9DGHGHZAJSCH8ugbJsjOLc/TdnIodGkkii/JhctsEpo6wLPmJ2xa6gJ5p8iXIsl8+zoVeC2CZ2LY3HTVmPmsZhRG/kY2iYkcfK50bNCvblVyfzFcYZGsEnxeZSy2e+GpMCWqwLqpR9JMg9TgFIif/h38na71PnbWcNv/zgF3ODhwJdn9CXPFR73512Q7lB7nd0vODkwVMtCt4vUqZc43hvdeqwGKW7KrrW+lGn5Xa911VRFYhkqVLtkuqK7m5f76owqc+E4qHWeCjeq/AbW9kzN2Zd45/+qBdniUI4CxTFdQ6zBqhAFbmWQs1UGEOrZIQvbenaGhPBtKBVSw2vCTVoMZawlMia0PhqyPL61qwQS4hdzZe7X/14iRoTXpWJXLOlaKGwpfuyWdq2PRPJqJEduzKdTY1Rt7GlreeN594avifdvls+6rX121z+TO/2VCafliuEmNQ31HVqRjx2RBV/oDmTqUZV0VFZTSqCitlBNSOoZico/5pQglYEordh7SW/N+JJWAH0B9KWP7xmtThxvvnxd2WcfowTm69c7u7+S0yyCARF8IrwB4XvClV8wc0dHR3MaZERsxSGlFQtmxWBkGjKCn9Y6FmymigUrqiaN5vN2qnqmW5WTVVXjUg327mjzdgCuef1M37P/hcPnpp315/63iMeT//e3d85dEG99tTg1NmTxp726+eU6fbO5uG9+w9e77H3in5x/V3UP9lQNqLud2iKIrcc9PuUD+W++H/5bwv7k9xltxYtA518P/fROG5dWRSwQk32UXPaMdNx26nEtDrIUXanIzP6ImtxZIUaWNCRVcrTrxxZoyTu0arsom/Yd7CU3ZCIxmgBZ8QJHJUlyEXcpUs0Al6gFA3QMu2H/gR0R6A5hhHbqYO20U48u2E3Bs2/tthmW8xCt4y5Zc9Kra+D7rB75+Hv6xgtbaahPYo5DlMnpJ32k7VnuTlCXouRO1FyO8qiPXbylujuwh7NUx+k/5Rj1fZe2/rm2f695zFYnoDuCM0gz2Xoj8qvm41P8MzIb7F/Lq+wjXOCXaAh4RkxcXZ8u2D1y5tcBPGREh2FcLpwG27cCZOEyvuEmujFcddXUaNKwgYXQNvsgJv3XSYXC5DDOjrdbzrgAejHHagDeA464AXU3elAPcDrABMNjk8ftA0tSsJS+1eAfqDvHxgA+i/VMAgM7K5hCBhsr2EYGLq9hhFg+Ms1jAIjbTVsBEZba9gEbNxawy8Am1KfYUFEE8TGF6P4gv07eSBn+w0KZW5kc3RyZWFtCmVuZG9iago0MzYgMCBvYmoKPDwKL0xlbmd0aCAxMTgKL0ZpbHRlciAvRmxhdGVEZWNvZGUKL1N1YnR5cGUgL1R5cGUxQwo+PgpzdHJlYW0NCkiJYmRgYWRgZGQUcnfycXP01HZMKQswcTZxNTUEiYr+kOYRy/nd/GvpzybW8/yXBLu/cwmBJLiR1AGBDAMTIyOTFt/3Rd895on+1rXNK5Nq7W+fOOPGze8cmxvPhOWVlGdlLypfMXvWxBlT5fgAAgwAP9AmUQoNCmVuZHN0cmVhbQplbmRvYmoKNDM3IDAgb2JqCjw8Ci9MZW5ndGggNDA0Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlIC9UeXBlMUMKPj4Kc3RyZWFtDQp4nGNkYGFiYGRkFHJ38nFz9NJ2TCkLMHE2cTU3AYmK/pDmESv/F/Tr3c9prOf5bwh2/1AWAklwI6kDAiYGe4a5DMsZWIFmATnhDDMZnjKa8P2qefB9sWhzeXdZ2cLuifI/p7G1tuRX5SZxlOaWJzVLtfW3TFvW9ejUdya51XMnd06XmlbRmz9XLmd+/YyGaRwnfWdsLpRuaG9pa5+RtjpBflnGkqopTRx8P1V+nOgTrZ3Y3zhDesbkyTMmdEzsmCL/u+vHAdZpbW1Ta6Xr2hob2oACfw6wdjR1tLZJ1U1unjGjf+rMiXLfq3/MZ+X7Ifp96/c+0ZsN33lDvrPKfef3Nz3TKN3a3t7a0d05r1L+rcaR38a/U6V+26f9dvkt8FtIrq6+u7NDqrW/feLUp+e/Cx+T2/edafp35vtSILPu/24R7evurZoj91vwu1D298DvulLfnTZ+d/rO/11Qbsb07t4+qUntfa2Nhu6/hQPkIn4z1f9mNpeynfab99BvVrnf/Mcfek2VntjfN0mejwsA1keuQg0KZW5kc3RyZWFtCmVuZG9iago0MzggMCBvYmoKPDwKL0xlbmd0aCAzMzM3Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlIC9UeXBlMUMKPj4Kc3RyZWFtDQpIiWxUC1AUVxbtnqG7EcYhzKSJzpjpARUERcYPEUTiDxQiAQ1o8EeYgdEQ5CODg9S6WVajSCh/u5tFo66opZvsalSwVJQkGk2Jia6YckVHGG1xYSeO4gfqvvG2lX0QN6mt2uqu9+rdd9/r0+ece1nGT8WwLBs8e0Z6UlrG6BT7Cqe9vCDP2h+UiJElr/mRYZoQnIyrnq95PomDiiA4ENw4TPu9jlGxbF39zJLSyrKC5e+Xm0flRZrHxcfFjukfJw2M8f1jvMU8Pb/EZjdnVjrK7UUOc2pxXklZaUmZtdyeP9Zsnr5ihXngBoe5zO6wlzlp9Bcc5gKH2WouL7Pm24usZYXmkmXmtILikvLKUrt5+myztTg/pqTMXEDPOlbZHAX5BdayArvj1/MMw9KHCWSYwQwTxDDBKiaEYYwME+bPRLOMhWfiGCaBYWYEMZkcs4hhYikfjB8jMPHMYqaYOc7cYiew69gDbIcqSfUH1T9Ufeoh6g3qI+pv1R1+EX5Ov0ZuJLeJ9+dH8jn8Af6KkCWcEF74L/Zv8n86qHDQ/kEXB/0UMCEgNWB/wJ3AUYFrA49rQjVZmm2aJo0yOE1J09IXO8hMaGQb4Dt1A+kUNQwwBSkxzQWXPZejmw+ndANzuOKbMDsHqgxUCWHHOHoII5oe97H3nqnvhZzll1QttFablgp7Nt/ZCcMMD4cLNKN2YBsy++iFw0Of8drVLtLiYo964LRHTRLhRxGTloaGhy/tgyRIaup7/LgpFJNMnhAIz4dCzMGcfCzEcAxvwELIgZwGKIRwk7beSaqvgaGChd0eNaAvU5zFl6CwpAr5df7JEKdUewRtrZscc+kOPJrcCYc9+pswhLwrNm/eBq/AUOPTI0mZMfOLp+VKY+dz+n9HZ6UmbsBwf7LKrej4LQfrv3lw9nrjkN7z7rOgM8BrkS7UmvQ3p2JCOVZK2tVtcM0FkTJL4ujnk8kjEb6SFYZfoAxuq+ZOHGra/5XxXmtW+IR3ZlimpB/pWCtZeBy3CwKWdRuh9AtIvAUjcdBt5NNyneVF0gBPcKFPd++Zvv5XrvS5ZLvfS9qy651gl9kdvlfVZCXYxR/QzvXxuN1n41DF474XNq6HvwF27nNZBAFaqRv6sJXTZte6YasLVrp1//TCLW+aV98LU31BIiTxegLMcXvKhHdKxko4k49Sxotwiaf7E+566RVBcYeW/EXSE9fRXVdOGx7OcqPBhK28V9GLkEnTXPcrwhOys8MlzOO1W1bLpF1mT/aofW+Qj0XQ/HY0CPi2Ee2ow2hciZ/BxFCYdA5K62B/oxTNY8IHyBalGXFWBoRAIszrfQAhrb3lqDsoabdQ5ZrdbLuXmHvU7SHQyEPVNciHWMhDAcIwQ8KTvDdOhFQehrgtmIqp8aNQJ+FcSlStDB/JUCqzsldNFFlUkuEj8rqsvA6l5E1Z2fPCRg7yWjPl0/XfNJgDLhF6ZeylOSNkZf0Lm5fXXlztznXCOTfskXVneoi9S99MhsI5Ecr5N38zJ22hybpgXvVyI2YuhigIh7l9T0F09a7E4L9JHh5inRjZhgYjfhiKC3Hm1M0YBKrh0vKjF3MgyPjwXyevNkv6NfvGct+RV/EqZZAC6pThywr2ppcEUuhNJF5UAuHLKAoGOkkgdnp9tiieeqXe6bNVsF0U91yfTYwaAFsr+zQVbBuNTf85Rqz9htSCUAtqUgUCe91DNnrUvk0hPhuaBMxVnnE1PFrJMw6lFzYPmcLX13RdMWziIUd5xD2gE+mhLkqpsTgNyhSB0jEgcUMP2UhV1gOKmBiNQWhBSzQEUQkTPXSygMVDg4mmnhCIiQcH1mN9PDowBmM60AH1UN8BDogxDRj6vBs2uakA0N1DNeh35UL+9qViS9TcwokSzufj/MDJg+UCcD3gnyDjUAnbXkojv+X0jZd1A2j0p0gcjBJvzOPWFC1fl2f8v4BiSqZkZ0uWHzj9atiFNjGyjWu7+Vfgugz/i9OkP/USatul3Z+fNtF01RscteROOOWGjW5dpxd+8o7voXXyNrSI8Lv+OvKvmzW3dDOyO96TIHAnX7Rrw6cfN66HkCHVPbbdtl3++t6mg+ca+gwwBgOOY4AJ7/b/hi/IDzbwZ9rXojp0WmWShKuofVe7yT23rrkrxQM/dk2nbYt4yVbRVV0GUbjFiDNmoAr9MLjvg9NVEkQUcPr7EFDyhWOaYQQGVCbHhB6DEJOFT6nLaMkyFf/96zza6ygL40/Dm8Annx+7V9LfROtpzvpJ7p4WA7BPd7W0d7+P6q2m/pLwaWQWPvGqd/g0IlS/0Hh9GqiWldsDBe6TKliXlwjUmyepx5RFAloibOMnjjkBFhPJjlIcAhrc+ArMh4XdtMlGmMgyQQvOWjAQKwSxO5+PUJNC0i1Si8Up3dwTHubR9mXm0aC093sxlrRzoXT6eWWgqzAeMmhne0LrtVYmJ2R2H7mkJndpUafzJJ2c4u4on8WS0YKSppzhJpNLgnbN9dnXSOR13ZGut9phfaf+EAwnjNi4bUdLj9HdWJT1btk6Z42EIys5/XEMr/xw5HuGcVfTHzw5e+boYZN+Rd7murxbxj3bt235VPpeqPl9Vc06Y2XVn/ZKcE4AA46ps6IYtwiDq01wA+eI+uPJCQviU4sPX7jSuv3ENhOwO/b+ccef/bVr2tJbSJgLUip033bCoS79GggN0Tdf3iQU7z6afd8Is76GBAiGiCnA43/orNaYKK4o7GadGaFIdMdZGwfvBCNs6ELADAUE66pobaNSKgSUFolQkdDaIo0LtIA2IejyjiKPlbL1gdXwKFRtNbXaH6baitRVYAmhuDLtRhsa0tT2DL2L7Zml6cO0yfyYH+eex3fOd74jSUlV6YW7UufZoFVm+dKZbE6dC8cE/jLldkSbU6J7QXK3wlLgCfoJOkyFF6RA+mapCyPozj7UBGFK8FSkT9GlIl37HBIzhponqB5MEHEF/MYbpRg2oXRbVrJI5+8D/fcPen4G3dDHOzc0SZhojlXN8iXa44E+BXfcQWyuTO2srYI5a835Mlyk0irKUhNdeJUmwPNXrh+70yfVYp6J4xx/2euHmQ4cBgGCgG+lS2OoFJ2bYt4xARxB77DGCVGjhnMP4ZwS6+EfqSshTnjtUMamODF029eA552BhS1rIYCa/5064dV73Y5jJ6Vbn54cqjs1D1ehJIzdHB4j/KNfu9fEN0i+TaimDYJhVHdf0YNdTRMG5X7uQmt7X1NrVVUTGeVqysprysVnt+9eJa1IXHfXm6aoaVwgLRiEpxG9m5swMw90KfwYLP7/MvhJbEeLEMfyY2tt3H9h4rzU1XtCqq/dx22po4E03BpfPf4ukbG1bTD/na9EqKyB5GFJO1t8WOv6FahT9Op+UAUIC+mKj81Kzy8kNnhfnslWoA9lbejC3XuOzPWE/qDgHVWBLx1FwE0ZBpTFEKk6BNnrUFg+Sn2MF8KUbNJsaO7o9LInjCbY5PLKdFJiYW0tzVXNIhjrlYsSHzX9Eb6TTQqLgzTr+/Ui3YBbDxdgTIBXIZ2hc1m6j+5l1OiYmWw3ZHCDtyCWtjHAsL58NA0aQNgjtXHBrDWt0erTQMXyCrRvURDOvNFX0DKl8/P+trQsQh8rcJdzXnYODR/PSCTUo8BjDkzBZ1Li83ZnZJEPS/dcixAjdiS9VSzZEPKhOC7wH37rFFz3f+G2IgPNCJqNDMUhINDH8Rd9oe53ZEYROozYlbnU5S4dDvc1j74H7AIVXTQYyZfggmAQQbRAME2gCRYaTEXiMTo78B4xgKGDGjds2EuNeL8Y9oLRSQJpkhVS/5yaWVKPwTJ4T5il5iwv/yYsifUmCwrYa9ncE5fynU8wPjwneY9VK29SK88rYIHJo6seGkYUvhdWwjXBdfXmt6TLw9ZWVNYcEF/MzE7K08xvT2hlcrPsD3EZOt0b3VDsXq+gTqSo/kJHORD60vLwdMolfpY7WEJ+KkSFGC4+U7ZzyctbCzfTBftvnT9EYtjNdXYaADki+H/XD3Pu7DpHdadRGuTjzMa2gqOfLOkfaTwN+ubU/BqCPKtwqQsHdW7s9lGNZLEQKtPQ9evu0B+5ze0ZE42n6us6ye03uJK86vMSPOBm9192keEbBWwKX6yWGVWHTM9jdyz5YVS/NevMfQJTsjeAowsf5I7cu9h5o5fU2lCcLVpx1ZPq6iLdEbVYDzWTAopBkLqaCWEhxetg8LZ6RXUwZtSkapgLA1bwL8K7eJMeflPDUFt+8YYxHhbC0UZmg72RqCUhaiQTxob6/k34b2bBjJ482vDT/NHt1uk9RYYmtRCxb/CFkzCciYU0bzdD5+ysLM8U3y5pqD8g8QUJHN97sPXowRYRmMZmyBuXBsByHSw3wDIPj7Pi9unsdppvh2fsLJxoggX1M34tHPkgsWTx7wF+Ln/lKfWLRUiYPwQYAG72bFEKDQplbmRzdHJlYW0KZW5kb2JqCjQzOSAwIG9iago8PAovTGVuZ3RoIDI3MjMKL0ZpbHRlciAvRmxhdGVEZWNvZGUKL1N1YnR5cGUgL1R5cGUxQwo+PgpzdHJlYW0NCkiJXFULVBTnFd7Z3fkXqK7IMNDu6swoKLiAYVGCItUFsWokiuC7vnZhFYQVXJCHiklqakReEmxpOA1FxFRbnzwEKyZqxChIfFUxSmIqYHsMicaqd/CuJ/0HY05Pzpz5z5n/cf/vu9937zAqrVrFMIzPzJi5M+LmBM2yp+fYs1OTrCExGenJyoooGxnZWyuPGOKDUzHv+VvPF7HwzjD4cHjLiCFhXio1w1Tum56Rme9MXZuSLQUmjZPMkyeFBytjxOA4WRknh0rRyRk2u5SYn5Vtd2RJs9cnZTgzM5zWbHvyeEmKTk+XEpQIWVKCPcvuzKGzP4GRUrMkq5TttCbbHVZnmpSxRopLXZ+RnZ9pl6JnStb1ya9lOKVUejZroy0rNTnV6ky1Z43/GRkVQx/VaK0qUK0ar1KFMqoJWlXMMFWiVrVMpUwyKrVKo7Kojqh+YCzMeuZrtac6QJ2mblY/16zUdGkGtJO1ydpeNpotZR8QC8kjz3QTdb/VVeg6dPfcZroVut1wN7s73Hs9RnnYPEo9buj152tyIBA85YRc5i8DUzWQB4E8fEhOYCALEQTLB2wsRhPc/cLGQhiBN+TTfAnpxaMsziH680XgCQtgKJjB06sL/OEw+CMHJu5Jlw+cIxBQX9fQKB47uvfMOcO17KsTDgqcfKCqbf9jw42VoMZYAb8n4O8ay0Mi4Z6cOZMVF2NNixExjsjrtGAhnHy5KT8+YXl2vIix9Lo88JHfBR+mGUI0AxY5l3+6bSIEYpoR38Qx6I1lWAwjkUaDWd8DA6EHRDSRCfnzl08yIrcE3ICHVU9PXgfP2sjVleIgfHkdeDJdEAAXaUyKuoPAOxfACeNhxFKw4XYRr1Ie6MmDP+l4tAlT0MOGw1Av4liiLysCDubSNwg4JYhGfjRg4111L2xyE3Cu0XTtMXD4GILk4UQPujzgJuZANU1YDk0YZQHpcBpDaMJaZTNU8zCF4Jh0VG9dZxwjfQxLIO67G89E7h9PPzZniGAi31G6fphpxO3FyFDOSwy4C8zoCdEC1wq+Zy81HxO5LVVm9qHsi6fJoLg3qUR1ucw1MMFBMGnkQrjJ400wDdjQhHV4EOrQ9MJGV2/q9DU5A7ZcpoNug3WUyMsFCnxqEQTLC8CDuQKSPBEkzUC5suwg6O1qZwsJ+sjtLGbQ3ZLcX0LA19XPQgABg9zPlrj6QfqRvLyT5qkZTLKBXtEMyGMflNoePIDSRuiDPixtDA7GUhv2CWDygRVATnV3A1mKK+hDlkZGIjkFKwR9GaVVSWmtHZTOBGUKYDrFU8vAwiMw6RKMiuhFUcTuQQIyp6V7f6H7T/36GWlFU1CrSF8NVVSHBYPGDYA6MKEP1UGmFgiAQ/AaAU25fVx0+Zo/pIoQWU3SKov2PTGAIW1P/D6Be3Jtb8Pl24aLKTAKEwX8QbHIFZ5Gm6fr+XOiPdae+WtRX5ZH7bWLXlBPq+JXINFL/HEo+HO99bCBD2vBIKhqh8xqagLe3DBur8DdwunHWcf7Kyo/NVy6XHMOfCunpZUJ1Hk9O+PpWSp8wWocNQXDQLsB3DLFW/ks19uVf2ZLomFa1KZY9M3tatgp6BfX5Mg9NNOwWRF8uNzDg4PasZuWpsPVoyh6XhHjWS5znVpwn1JMoqJniMtBJlqX+s+Y3/xQkNfQ70xdyfSq+fWr3GI7vt3caYTZQLphvqgooDilesBdA70Qw1MLjJcbWQwnsF3pFH4EdiidI5TopYKH4TXU3Vqv/TQFCTCSy5PflUfw4Isjay3Uxmw2RmwWwEj+VlZ5/KrxyKc74h2Zv9u4Q0SvPDZs6+xFfgauBdVfrrzzoKX54N8FLq/UUbKtwukGQTVkU3nBB+0GHHmP51reiEt6M9Ne1dp2/E+f7Bbadtfu/uCPbvrFBaAb+whuUbEtuV4XKIYCKkGr/Buo4uOc48xhKTduf733X9/0HoiKELBAXs6jRLgt1DgjdVzr5yW6eYcu5rQZIayTHh0LcX596G62LkvdKBYq5EAHd2hhHKLNbzWMptmGRbwza2bsqELQtXXW9vQIl8r2LChPcYPRBCK3onAswoizLLSFWFB7gtb+clh8HELO7hJ/hlSJWAASRXpS0UbCikJyaKO11WxEdz8zxuHYTpQgrO1izWeHxBKKeNYgYJc75XX3wO3eb/aGvx6VEh1mdn7bLihAteBznw46ppZGdoC/RtZDKG9/Oyk32Yjstr6G90SZqSPwHo45NRoLNqJ1DmaAbjqY7j9tAu+jAgJE8FcrDjd1GlvObgivEPX4FXVa7MM7NOg92hUgV47l7z8MrSHNxVUnhXpgSfFbecU2Y9A8K6rF1VMDbrliQdLpF6PjKajAA9qfSTDUq4ECyqdU++UIeT/PdUcV6g5vSmoLfMV07qMw8L57uL6xViwpZOfowteutUS+/dFHvxcwmCBbDm7LQW2Eqvch5N8ijVKsc7G4hwYCz7Zjn3zRNCM8JisyWOD6J2XcuSwOloeFXm7JZS5RTVdQ5PJxWcuDe+QFv2nzklflC4VQgZLSzqCNdJ9suthbMjtZwC4FOz28P/cr8PGivdD3CsXror6W9+u4UFioHaKiQvko/Q7XgXZA/9NGsNOdKLm+JMsyiwoEJ2oPk2cd1SCKXOjAnv87Jw3GB1pcV5SM2iGKb/uM/kPyWIgiuBBuQzzQwrIQjMWVrPzLlzBfte6XZwb9okzTtpujkP2vH3h4dVA2016+3iO41oHPX1F+PTl+Q75wbm3KX6caQ5ITUvKps7nuL9CgMINb1FRtNSc67xbFrRTwn3Tmuq697sTVxv9pXaENNEjC4XZAw1N4ByJA1ZL9syvkgCbegJl4lF14B1qgApM+FzDhQ/LRFFDavAaqDkN+iz7+rQyEosa/Q36HfBc1/q4MhKKPv4fI/VYRcy/X/c3wm6H85fnz818C0xPDfF13YOn326/seygwX94AJ66TQBtrgDn+DrA6nST6YBEkp4NzfubVW8BE8X0Vy2+pv+VAZct72fLmrAt7C8vs8kBN4PyumxKVWAj0A9/vZUCv2pZ9FylfWw4KUOEbp4Gx9n0l27H5578zzpjV3Tld7rsSe09TU0+TtFl2eGgeKCxfPP8txQ7Mgl//MxS9E/nPUOcq/58h68zZr0IrgaW64HfZ78C8C6zFQTmg+web6Hetht8CS5Wlf1tFqdvKC7/6Hf393jkjqfKqDGc54U/G+Wt2yP9WYfut1P9dPPE7r/S971rLv+sD1X2P+P3Q777UoqkrrgP9dX16euZEUB5t/fr9wXvGu6CkUfTTAlSUqDirX/59nc1tYex3Xrm5bAsX9vQslP/K3tXY2NUkHdQ1fZX8962P3ptA4kX58w9gcQQKkGhwzG4Fp+Tfx9l0fAtjE6Jn35X7fg/I/8T+W+a6/5erh1cfWS0HLI8qHL6DPN0NzBwy5Ywzfixj/rEZpFMTmGP/yIAaDUw/ZEA1xPfgPytArQU+BWieYZz6Yynzj/UgxRpsvxkhitmgiiP+7GN1qstviZCub+rpaZX/zcLeNX9x1zzp73xzl36PPCvPVzHvZ9K834kzv+tMZ/u+ePp3rsl/2aawyy1wrhT/z8P5nYvruwJ3Dw/f91UiP7VFAQIMACHZDI0KDQplbmRzdHJlYW0KZW5kb2JqCjQ0MCAwIG9iago8PAovTGVuZ3RoIDI4MQovRmlsdGVyIC9GbGF0ZURlY29kZQovU3VidHlwZSAvVHlwZTFDCj4+CnN0cmVhbQ0KSIliZGBhYmBkZJRwd/JzdffWdkwpCwkxSkxOMjcwTtI2MgLJSf2QYfwhyyPW/XvRrw2/JrB+L+T/XiLY/f2iEAMzIyNH+/TizNzMnMSikMqC1LTE5FSFlQohGakKvvl5+SVAIQXn/KKC/KLEksz8PIWCnGQ9BZfEkkQCivRBhikE5+eUgkSKFTzzgPoMLS0NdIGEkZ6CY06OQlBmekZJsUJQanFqUVlqCobTGRgY2xmYGBmZIvh+3P4x4/tD0fai5vL6Go7y6vKmYuninKkLUuRDlmfOrpvAMbm4vL9aOj23Nr9Yvji/NrU1imMR2/HJK1btlV60tq5op3zq2T2Va6Q3rJqxfLH84mWzNk3ay8EHEGAAPHFz4QoNCmVuZHN0cmVhbQplbmRvYmoKNDQxIDAgb2JqCjw8Ci9QYXJlbnQgNDMwIDAgUgovRGVzdCAoU2VjdGlvbjM5KQovTmV4dCA0NDQgMCBSCi9UaXRsZSA8RkVGRjAwNEYwMDZFMDA3NDAwNkYwMDZDMDA2RjAwNjcwMDc5MDAyMDAwNjMwMDYxMDA3MDAwNzQwMDc1MDA3MjAwNjU+Cj4+CmVuZG9iago0NDIgMCBvYmoKPDwKL1BhcmVudCA0MzAgMCBSCi9EZXN0IChTZWN0aW9uMzExKQovUHJldiA0NDQgMCBSCi9UaXRsZSA8RkVGRjAwNEYwMDZFMDA3NDAwNkYwMDZDMDA2RjAwNjcwMDc5MDAyMDAwNkQwMDYxMDA3MDAwNzAwMDY5MDA2RTAwNjc+Cj4+CmVuZG9iago0NDMgMCBvYmoKPDwKL1BhcmVudCAzODggMCBSCi9EZXN0IChTZWN0aW9uMjEyKQovTmV4dCA0MzEgMCBSCi9QcmV2IDQzMCAwIFIKL1RpdGxlIDxGRUZGMDA0RjAwNkUwMDc0MDA2RjAwNkMwMDZGMDA2NzAwNzkwMDIwMDA3MzAwNzQwMDZGMDA3MjAwNjEwMDY3MDA2NTAwMjAwMDYxMDA2RTAwNjQwMDIwMDA3MTAwNzUwMDY1MDA3MjAwNzkwMDY5MDA2RTAwNjc+Cj4+CmVuZG9iago0NDQgMCBvYmoKPDwKL1BhcmVudCA0MzAgMCBSCi9EZXN0IChTZWN0aW9uMzEwKQovTmV4dCA0NDIgMCBSCi9QcmV2IDQ0MSAwIFIKL1RpdGxlIDxGRUZGMDA0RjAwNkUwMDc0MDA2RjAwNkMwMDZGMDA2NzAwNzkwMDIwMDA2MzAwNkYwMDY0MDA2OTAwNkUwMDY3Pgo+PgplbmRvYmoKeHJlZgowIDQ0NQowMDAwMDAwMDAwIDY1NTM1IGYNCjAwMDAwMDAwMTUgMDAwMDAgbg0KMDAwMDAwMDQ3OCAwMDAwMCBuDQowMDAwMDAwNTM0IDAwMDAwIG4NCjAwMDAwMDA1OTIgMDAwMDAgbg0KMDAwMDAwNDMwMyAwMDAwMCBuDQowMDAwMDA0MzY5IDAwMDAwIG4NCjAwMDAwMDQ2MzMgMDAwMDAgbg0KMDAwMDAwMDIxNiAwMDAwMCBuDQowMDAwMDA0NjcxIDAwMDAwIG4NCjAwMDAwMDQ3MTQgMDAwMDAgbg0KMDAwMDAwNDc1MSAwMDAwMCBuDQowMDAwMDA1MTc2IDAwMDAwIG4NCjAwMDAwMDUzMTkgMDAwMDAgbg0KMDAwMDAwNTQxMyAwMDAwMCBuDQowMDAwMDA1NTQ0IDAwMDAwIG4NCjAwMDAwMDU2NzIgMDAwMDAgbg0KMDAwMDAwNTgwMyAwMDAwMCBuDQowMDAwMDA3MTgyIDAwMDAwIG4NCjAwMDAwMDg1MjQgMDAwMDAgbg0KMDAwMDAwOTcxMCAwMDAwMCBuDQowMDAwMDEwOTk5IDAwMDAwIG4NCjAwMDAwMTIzMTUgMDAwMDAgbg0KMDAwMDAxMzI1MCAwMDAwMCBuDQowMDAwMDE0MjY3IDAwMDAwIG4NCjAwMDAwMTUyMTcgMDAwMDAgbg0KMDAwMDAxNTg1NCAwMDAwMCBuDQowMDAwMDE2MDg4IDAwMDAwIG4NCjAwMDAwMTYxMjQgMDAwMDAgbg0KMDAwMDAxNzA5MyAwMDAwMCBuDQowMDAwMDE3OTQ4IDAwMDAwIG4NCjAwMDAwMTgyMjIgMDAwMDAgbg0KMDAwMDAxODMzNyAwMDAwMCBuDQowMDAwMDE4NDYxIDAwMDAwIG4NCjAwMDAwMTg4ODkgMDAwMDAgbg0KMDAwMDAxOTMzMyAwMDAwMCBuDQowMDAwMDE5NzIxIDAwMDAwIG4NCjAwMDAwMjAwMjEgMDAwMDAgbg0KMDAwMDAyMDM1MyAwMDAwMCBuDQowMDAwMDIwNTk3IDAwMDAwIG4NCjAwMDAwMjA4MTcgMDAwMDAgbg0KMDAwMDAyMTA3NyAwMDAwMCBuDQowMDAwMDIxMjgxIDAwMDAwIG4NCjAwMDAwMjE0NjcgMDAwMDAgbg0KMDAwMDAyMTY4NyAwMDAwMCBuDQowMDAwMDIxODkxIDAwMDAwIG4NCjAwMDAwMjIwNzcgMDAwMDAgbg0KMDAwMDAyMjI5MSAwMDAwMCBuDQowMDAwMDIyNzAyIDAwMDAwIG4NCjAwMDAwMjUzODAgMDAwMDAgbg0KMDAwMDAyNjE1NSAwMDAwMCBuDQowMDAwMDI2NTYyIDAwMDAwIG4NCjAwMDAwMjY3MzEgMDAwMDAgbg0KMDAwMDAyNjg5OSAwMDAwMCBuDQowMDAwMDI3MjgyIDAwMDAwIG4NCjAwMDAwMjc0NTcgMDAwMDAgbg0KMDAwMDAyNzY3NyAwMDAwMCBuDQowMDAwMDI3NzkxIDAwMDAwIG4NCjAwMDAwMjc5MjcgMDAwMDAgbg0KMDAwMDAyNzk4MiAwMDAwMCBuDQowMDAwMDI4MDM4IDAwMDAwIG4NCjAwMDAwMjgwOTQgMDAwMDAgbg0KMDAwMDAyODE1MCAwMDAwMCBuDQowMDAwMDI4MjA2IDAwMDAwIG4NCjAwMDAwMjgyNjIgMDAwMDAgbg0KMDAwMDAyODMxOCAwMDAwMCBuDQowMDAwMDI4Mzc0IDAwMDAwIG4NCjAwMDAwMjg0MzAgMDAwMDAgbg0KMDAwMDAyODQ4NiAwMDAwMCBuDQowMDAwMDI4NTQyIDAwMDAwIG4NCjAwMDAwMjg1OTcgMDAwMDAgbg0KMDAwMDAyODY1MyAwMDAwMCBuDQowMDAwMDI4NzA5IDAwMDAwIG4NCjAwMDAwMjg3NjUgMDAwMDAgbg0KMDAwMDAyODgyMSAwMDAwMCBuDQowMDAwMDI4ODc3IDAwMDAwIG4NCjAwMDAwMjg5MzMgMDAwMDAgbg0KMDAwMDAyODk4OCAwMDAwMCBuDQowMDAwMDI5MDQzIDAwMDAwIG4NCjAwMDAwMjkwOTggMDAwMDAgbg0KMDAwMDAyOTE1MyAwMDAwMCBuDQowMDAwMDI5MjA4IDAwMDAwIG4NCjAwMDAwMjkyNjMgMDAwMDAgbg0KMDAwMDAyOTMxOCAwMDAwMCBuDQowMDAwMDI5MzczIDAwMDAwIG4NCjAwMDAwMjk0MjggMDAwMDAgbg0KMDAwMDAyOTQ4MyAwMDAwMCBuDQowMDAwMDI5NTM4IDAwMDAwIG4NCjAwMDAwMjk1OTMgMDAwMDAgbg0KMDAwMDAyOTY0OSAwMDAwMCBuDQowMDAwMDI5NzA1IDAwMDAwIG4NCjAwMDAwMjk3NjEgMDAwMDAgbg0KMDAwMDAyOTgxNiAwMDAwMCBuDQowMDAwMDI5ODcyIDAwMDAwIG4NCjAwMDAwMjk5MjggMDAwMDAgbg0KMDAwMDAyOTk4NCAwMDAwMCBuDQowMDAwMDMwMDQwIDAwMDAwIG4NCjAwMDAwMzAwOTYgMDAwMDAgbg0KMDAwMDAzMDE1MiAwMDAwMCBuDQowMDAwMDMwMjA3IDAwMDAwIG4NCjAwMDAwMzAyNjMgMDAwMDAgbg0KMDAwMDAzMDMyMCAwMDAwMCBuDQowMDAwMDMwMzc3IDAwMDAwIG4NCjAwMDAwMzA0MzQgMDAwMDAgbg0KMDAwMDAzMDQ5MSAwMDAwMCBuDQowMDAwMDMwNTQ2IDAwMDAwIG4NCjAwMDAwMzA2MDEgMDAwMDAgbg0KMDAwMDAzMDY1NyAwMDAwMCBuDQowMDAwMDMwNzEzIDAwMDAwIG4NCjAwMDAwMzA3NjcgMDAwMDAgbg0KMDAwMDAzMDgyMSAwMDAwMCBuDQowMDAwMDMwODc4IDAwMDAwIG4NCjAwMDAwMzA5MzMgMDAwMDAgbg0KMDAwMDAzMDk4OCAwMDAwMCBuDQowMDAwMDMxMDQyIDAwMDAwIG4NCjAwMDAwMzEwOTYgMDAwMDAgbg0KMDAwMDAzMTE1MyAwMDAwMCBuDQowMDAwMDMxMjEwIDAwMDAwIG4NCjAwMDAwMzEyNjcgMDAwMDAgbg0KMDAwMDAzMTMyMiAwMDAwMCBuDQowMDAwMDMxMzc4IDAwMDAwIG4NCjAwMDAwMzE0MzQgMDAwMDAgbg0KMDAwMDAzMTQ5MCAwMDAwMCBuDQowMDAwMDMxNTQzIDAwMDAwIG4NCjAwMDAwMzE1OTYgMDAwMDAgbg0KMDAwMDAzMTY0OSAwMDAwMCBuDQowMDAwMDMxNzAyIDAwMDAwIG4NCjAwMDAwMzE3NTUgMDAwMDAgbg0KMDAwMDAzMTgxMCAwMDAwMCBuDQowMDAwMDMxODY2IDAwMDAwIG4NCjAwMDAwMzE5MjMgMDAwMDAgbg0KMDAwMDAzMTk3OSAwMDAwMCBuDQowMDAwMDMyMDM1IDAwMDAwIG4NCjAwMDAwMzIwOTEgMDAwMDAgbg0KMDAwMDAzMjE0NyAwMDAwMCBuDQowMDAwMDMyMjAzIDAwMDAwIG4NCjAwMDAwMzIyNjAgMDAwMDAgbg0KMDAwMDAzMjMxNyAwMDAwMCBuDQowMDAwMDMyMzczIDAwMDAwIG4NCjAwMDAwMzI0MjkgMDAwMDAgbg0KMDAwMDAzMjQ4NSAwMDAwMCBuDQowMDAwMDMyNTQxIDAwMDAwIG4NCjAwMDAwMzI1OTggMDAwMDAgbg0KMDAwMDAzMjY1NSAwMDAwMCBuDQowMDAwMDMyNzA5IDAwMDAwIG4NCjAwMDAwMzI3OTIgMDAwMDAgbg0KMDAwMDAzMjkzNyAwMDAwMCBuDQowMDAwMDMzMTQzIDAwMDAwIG4NCjAwMDAwMzMxODQgMDAwMDAgbg0KMDAwMDAzMzIyNiAwMDAwMCBuDQowMDAwMDMzMzA2IDAwMDAwIG4NCjAwMDAwMzgwOTYgMDAwMDAgbg0KMDAwMDA0MDI4MiAwMDAwMCBuDQowMDAwMDQwNDM0IDAwMDAwIG4NCjAwMDAwNDA1NzkgMDAwMDAgbg0KMDAwMDA0MDczMiAwMDAwMCBuDQowMDAwMDQwODc5IDAwMDAwIG4NCjAwMDAwNDEzNDUgMDAwMDAgbg0KMDAwMDA0MTgwOSAwMDAwMCBuDQowMDAwMDQyMjY0IDAwMDAwIG4NCjAwMDAwNDI2NTIgMDAwMDAgbg0KMDAwMDA0MzAxNCAwMDAwMCBuDQowMDAwMDQzNDAwIDAwMDAwIG4NCjAwMDAwNDM3ODcgMDAwMDAgbg0KMDAwMDA0NDE3NCAwMDAwMCBuDQowMDAwMDQ0NTYxIDAwMDAwIG4NCjAwMDAwNDQ5NDcgMDAwMDAgbg0KMDAwMDA1MTQ5MyAwMDAwMCBuDQowMDAwMDUxNjI1IDAwMDAwIG4NCjAwMDAwNTE3NTYgMDAwMDAgbg0KMDAwMDA1MTg4OCAwMDAwMCBuDQowMDAwMDUyMDIwIDAwMDAwIG4NCjAwMDAwNTIxNTIgMDAwMDAgbg0KMDAwMDA1MjI4NCAwMDAwMCBuDQowMDAwMDUyNDEzIDAwMDAwIG4NCjAwMDAwNTI1NDcgMDAwMDAgbg0KMDAwMDA1MjY3OCAwMDAwMCBuDQowMDAwMDUyODA3IDAwMDAwIG4NCjAwMDAwNTI5NDIgMDAwMDAgbg0KMDAwMDA1MzA3OCAwMDAwMCBuDQowMDAwMDUzMjEzIDAwMDAwIG4NCjAwMDAwNTMzNDUgMDAwMDAgbg0KMDAwMDA1MzQ3NyAwMDAwMCBuDQowMDAwMDUzNjAyIDAwMDAwIG4NCjAwMDAwNTM3MzQgMDAwMDAgbg0KMDAwMDA1Mzg2NiAwMDAwMCBuDQowMDAwMDUzOTk3IDAwMDAwIG4NCjAwMDAwNTQxMjYgMDAwMDAgbg0KMDAwMDA1NDI1OCAwMDAwMCBuDQowMDAwMDU0MzkwIDAwMDAwIG4NCjAwMDAwNTQ1MTcgMDAwMDAgbg0KMDAwMDA1NDY0OSAwMDAwMCBuDQowMDAwMDU0NzgxIDAwMDAwIG4NCjAwMDAwNTQ5MTEgMDAwMDAgbg0KMDAwMDA1NTA0MyAwMDAwMCBuDQowMDAwMDU1MTc1IDAwMDAwIG4NCjAwMDAwNTUzMDcgMDAwMDAgbg0KMDAwMDA1NTQzOCAwMDAwMCBuDQowMDAwMDU1NTcwIDAwMDAwIG4NCjAwMDAwNjY0MDUgMDAwMDAgbg0KMDAwMDA2NzEyMyAwMDAwMCBuDQowMDAwMDY3MzI1IDAwMDAwIG4NCjAwMDAwNjc0NTEgMDAwMDAgbg0KMDAwMDA2NzU4MyAwMDAwMCBuDQowMDAwMDY3NzE1IDAwMDAwIG4NCjAwMDAwNjc4NDMgMDAwMDAgbg0KMDAwMDA2Nzk3MiAwMDAwMCBuDQowMDAwMDY4MTAyIDAwMDAwIG4NCjAwMDAwNjgyMjkgMDAwMDAgbg0KMDAwMDA2ODM2MSAwMDAwMCBuDQowMDAwMDY4NDkzIDAwMDAwIG4NCjAwMDAwNjg2MjIgMDAwMDAgbg0KMDAwMDA2ODc1NCAwMDAwMCBuDQowMDAwMDY4ODg2IDAwMDAwIG4NCjAwMDAwNjkwMTggMDAwMDAgbg0KMDAwMDA2OTE0OCAwMDAwMCBuDQowMDAwMDY5Mjc4IDAwMDAwIG4NCjAwMDAwNjk0MDkgMDAwMDAgbg0KMDAwMDA2OTUzNiAwMDAwMCBuDQowMDAwMDY5NjY3IDAwMDAwIG4NCjAwMDAwNjk3OTggMDAwMDAgbg0KMDAwMDA2OTkyNiAwMDAwMCBuDQowMDAwMDcwMDU4IDAwMDAwIG4NCjAwMDAwNzAxOTAgMDAwMDAgbg0KMDAwMDA3MDMyMCAwMDAwMCBuDQowMDAwMDcwNDQ3IDAwMDAwIG4NCjAwMDAwODE3MDYgMDAwMDAgbg0KMDAwMDA4MjQwMiAwMDAwMCBuDQowMDAwMDgyNjA0IDAwMDAwIG4NCjAwMDAwODI3MzUgMDAwMDAgbg0KMDAwMDA4Mjg2NSAwMDAwMCBuDQowMDAwMDgyOTk3IDAwMDAwIG4NCjAwMDAwODMxMjggMDAwMDAgbg0KMDAwMDA4MzI2MCAwMDAwMCBuDQowMDAwMDgzMzg5IDAwMDAwIG4NCjAwMDAwODM1MTggMDAwMDAgbg0KMDAwMDA4MzY0MyAwMDAwMCBuDQowMDAwMDgzNzc0IDAwMDAwIG4NCjAwMDAwODM5NTAgMDAwMDAgbg0KMDAwMDA4NDEyNyAwMDAwMCBuDQowMDAwMDg0Mjk0IDAwMDAwIG4NCjAwMDAwODQ0NjUgMDAwMDAgbg0KMDAwMDA5NDg2MiAwMDAwMCBuDQowMDAwMDk1NTM5IDAwMDAwIG4NCjAwMDAwOTU3NDEgMDAwMDAgbg0KMDAwMDA5NTg3MyAwMDAwMCBuDQowMDAwMDk2MDA0IDAwMDAwIG4NCjAwMDAwOTYxMzUgMDAwMDAgbg0KMDAwMDA5NjI2NSAwMDAwMCBuDQowMDAwMDk2Mzk1IDAwMDAwIG4NCjAwMDAwOTY1MjYgMDAwMDAgbg0KMDAwMDA5NjY1NyAwMDAwMCBuDQowMDAwMDk2Nzg3IDAwMDAwIG4NCjAwMDAwOTY5MTkgMDAwMDAgbg0KMDAwMDA5NzA1MSAwMDAwMCBuDQowMDAwMDk3MTgzIDAwMDAwIG4NCjAwMDAwOTczMTMgMDAwMDAgbg0KMDAwMDA5NzQ0NSAwMDAwMCBuDQowMDAwMDk3NTc3IDAwMDAwIG4NCjAwMDAwOTc3MDkgMDAwMDAgbg0KMDAwMDA5NzkwOCAwMDAwMCBuDQowMDAwMDk4MDc0IDAwMDAwIG4NCjAwMDAxMDkxMjYgMDAwMDAgbg0KMDAwMDEwOTg4OSAwMDAwMCBuDQowMDAwMTEwMDgwIDAwMDAwIG4NCjAwMDAxMTAyMDggMDAwMDAgbg0KMDAwMDExMDMzNiAwMDAwMCBuDQowMDAwMTEwNDY4IDAwMDAwIG4NCjAwMDAxMTA1OTUgMDAwMDAgbg0KMDAwMDExMDczMCAwMDAwMCBuDQowMDAwMTEwODY0IDAwMDAwIG4NCjAwMDAxMjE0MzIgMDAwMDAgbg0KMDAwMDEyMjEyMiAwMDAwMCBuDQowMDAwMTIyMzQ4IDAwMDAwIG4NCjAwMDAxMjI0NzkgMDAwMDAgbg0KMDAwMDEyMjYwOCAwMDAwMCBuDQowMDAwMTIyNzM5IDAwMDAwIG4NCjAwMDAxMjkxMTUgMDAwMDAgbg0KMDAwMDEzMTEzMCAwMDAwMCBuDQowMDAwMTMxNDA5IDAwMDAwIG4NCjAwMDAxMzE1MzggMDAwMDAgbg0KMDAwMDEzMTY3MyAwMDAwMCBuDQowMDAwMTMxODA4IDAwMDAwIG4NCjAwMDAxMzE5NDAgMDAwMDAgbg0KMDAwMDEzMjA3NCAwMDAwMCBuDQowMDAwMTMyMjA1IDAwMDAwIG4NCjAwMDAxMzIzMzQgMDAwMDAgbg0KMDAwMDEzMjQ2OSAwMDAwMCBuDQowMDAwMTQyNzgyIDAwMDAwIG4NCjAwMDAxNDM0NzcgMDAwMDAgbg0KMDAwMDE0MzY2OSAwMDAwMCBuDQowMDAwMTQzNzk4IDAwMDAwIG4NCjAwMDAxNTcyOTMgMDAwMDAgbg0KMDAwMDE1ODMzNiAwMDAwMCBuDQowMDAwMTU4OTg1IDAwMDAwIG4NCjAwMDAxNjI5MTkgMDAwMDAgbg0KMDAwMDE2NDAwNyAwMDAwMCBuDQowMDAwMTY0MjM1IDAwMDAwIG4NCjAwMDAxNjQzNjkgMDAwMDAgbg0KMDAwMDE2NDQ5OSAwMDAwMCBuDQowMDAwMTY0NjMxIDAwMDAwIG4NCjAwMDAxNzI3NjAgMDAwMDAgbg0KMDAwMDE3MzM4MyAwMDAwMCBuDQowMDAwMTczNjIyIDAwMDAwIG4NCjAwMDAxNzM3NTYgMDAwMDAgbg0KMDAwMDE4NDA4NCAwMDAwMCBuDQowMDAwMTg0ODQ0IDAwMDAwIG4NCjAwMDAxODUwOTAgMDAwMDAgbg0KMDAwMDE5NTgwOSAwMDAwMCBuDQowMDAwMTk2ODMwIDAwMDAwIG4NCjAwMDAxOTcwMjIgMDAwMDAgbg0KMDAwMDIwNTUwNSAwMDAwMCBuDQowMDAwMjA1NzMyIDAwMDAwIG4NCjAwMDAyMDY1OTkgMDAwMDAgbg0KMDAwMDIwNjc5MiAwMDAwMCBuDQowMDAwMjA2OTM5IDAwMDAwIG4NCjAwMDAyMDc0ODAgMDAwMDAgbg0KMDAwMDIwNzgwOCAwMDAwMCBuDQowMDAwMjA4MDE5IDAwMDAwIG4NCjAwMDAyMDgyMjkgMDAwMDAgbg0KMDAwMDIwODUxNiAwMDAwMCBuDQowMDAwMjA4NzI5IDAwMDAwIG4NCjAwMDAyMDg5NzYgMDAwMDAgbg0KMDAwMDIwOTQ2NyAwMDAwMCBuDQowMDAwMjEzNzU5IDAwMDAwIG4NCjAwMDAyMTM5NDMgMDAwMDAgbg0KMDAwMDIxNDI0OCAwMDAwMCBuDQowMDAwMjE1MTgyIDAwMDAwIG4NCjAwMDAyMTYwMTUgMDAwMDAgbg0KMDAwMDIxNjM5NiAwMDAwMCBuDQowMDAwMjE2ODU1IDAwMDAwIG4NCjAwMDAyMTcyMTIgMDAwMDAgbg0KMDAwMDIxNzc2NiAwMDAwMCBuDQowMDAwMjE4MTM4IDAwMDAwIG4NCjAwMDAyMTg0MDMgMDAwMDAgbg0KMDAwMDIxODcxNCAwMDAwMCBuDQowMDAwMjE4ODg2IDAwMDAwIG4NCjAwMDAyMTk0ODAgMDAwMDAgbg0KMDAwMDIxOTkzMiAwMDAwMCBuDQowMDAwNDU5MjM0IDAwMDAwIG4NCjAwMDA0NTkzNDggMDAwMDAgbg0KMDAwMDQ1OTQ4MiAwMDAwMCBuDQowMDAwNDU5NTIzIDAwMDAwIG4NCjAwMDA0NTk5NTQgMDAwMDAgbg0KMDAwMDQ2MDE0MCAwMDAwMCBuDQowMDAwNDYwMjc4IDAwMDAwIG4NCjAwMDA0NjA0MTkgMDAwMDAgbg0KMDAwMDQ2MDU2MCAwMDAwMCBuDQowMDAwNDYwNzAxIDAwMDAwIG4NCjAwMDA0NjA4NDEgMDAwMDAgbg0KMDAwMDQ2MDk4MiAwMDAwMCBuDQowMDAwNDYxMTIzIDAwMDAwIG4NCjAwMDA0NjEyNjMgMDAwMDAgbg0KMDAwMDQ2MTQwNCAwMDAwMCBuDQowMDAwNDYxNTQ1IDAwMDAwIG4NCjAwMDA0NjE2ODMgMDAwMDAgbg0KMDAwMDQ2MTgyMiAwMDAwMCBuDQowMDAwNDYxOTYxIDAwMDAwIG4NCjAwMDA0NjIxMDIgMDAwMDAgbg0KMDAwMDQ2MjI0MyAwMDAwMCBuDQowMDAwNDYyMzg0IDAwMDAwIG4NCjAwMDA0NjI1MjUgMDAwMDAgbg0KMDAwMDQ2MjY2NCAwMDAwMCBuDQowMDAwNDYyODA1IDAwMDAwIG4NCjAwMDA0NjI5NDYgMDAwMDAgbg0KMDAwMDQ2MzA4NiAwMDAwMCBuDQowMDAwNDYzMjI3IDAwMDAwIG4NCjAwMDA0NjMzNjcgMDAwMDAgbg0KMDAwMDQ2MzUwNyAwMDAwMCBuDQowMDAwNDYzNjQwIDAwMDAwIG4NCjAwMDA0NjM2ODEgMDAwMDAgbg0KMDAwMDYyODc1MyAwMDAwMCBuDQowMDAwNjQyODA2IDAwMDAwIG4NCjAwMDA2NDI5NDAgMDAwMDAgbg0KMDAwMDY0Mjk4MSAwMDAwMCBuDQowMDAwNjQzMDgwIDAwMDAwIG4NCjAwMDA2NDMxNjkgMDAwMDAgbg0KMDAwMDY1MzM3MyAwMDAwMCBuDQowMDAwNjU4OTUzIDAwMDAwIG4NCjAwMDA2NTkxOTAgMDAwMDAgbg0KMDAwMDY2MDA5NCAwMDAwMCBuDQowMDAwNjY0NDkwIDAwMDAwIG4NCjAwMDA2NjQ4NTMgMDAwMDAgbg0KMDAwMDY2NTQyNiAwMDAwMCBuDQowMDAwNjY1NzMxIDAwMDAwIG4NCjAwMDA2NjYwMTYgMDAwMDAgbg0KMDAwMDY2NjMxMCAwMDAwMCBuDQowMDAwNjY2NDk2IDAwMDAwIG4NCjAwMDA2NjY2ODIgMDAwMDAgbg0KMDAwMDY2Njg1MCAwMDAwMCBuDQowMDAwNjY3MDg5IDAwMDAwIG4NCjAwMDA2NjczMzUgMDAwMDAgbg0KMDAwMDY2NzU4MSAwMDAwMCBuDQowMDAwNjY3ODIwIDAwMDAwIG4NCjAwMDA2NjgwMzMgMDAwMDAgbg0KMDAwMDY2ODI2NSAwMDAwMCBuDQowMDAwNjY4NjM3IDAwMDAwIG4NCjAwMDA2NjkxMjkgMDAwMDAgbg0KMDAwMDY5Njk5MiAwMDAwMCBuDQowMDAwNjk3MzE5IDAwMDAwIG4NCjAwMDA2OTczODQgMDAwMDAgbg0KMDAwMDY5NzY3NSAwMDAwMCBuDQowMDAwNjk3ODkwIDAwMDAwIG4NCjAwMDA2OTgxMzcgMDAwMDAgbg0KMDAwMDY5ODM4NCAwMDAwMCBuDQowMDAwNjk4NjMxIDAwMDAwIG4NCjAwMDA2OTg4NzggMDAwMDAgbg0KMDAwMDY5OTEyNSAwMDAwMCBuDQowMDAwNjk5MzcyIDAwMDAwIG4NCjAwMDA2OTk2MTkgMDAwMDAgbg0KMDAwMDY5OTg2NiAwMDAwMCBuDQowMDAwNzAwMTEzIDAwMDAwIG4NCjAwMDA3MDAzNjAgMDAwMDAgbg0KMDAwMDcwMDYwNyAwMDAwMCBuDQowMDAwNzAwODU0IDAwMDAwIG4NCjAwMDA3MDExMDEgMDAwMDAgbg0KMDAwMDcwMTM0OCAwMDAwMCBuDQowMDAwNzAxNTk1IDAwMDAwIG4NCjAwMDA3MDE4NDIgMDAwMDAgbg0KMDAwMDcwMjA4OSAwMDAwMCBuDQowMDAwNzAyMzM2IDAwMDAwIG4NCjAwMDA3MDI1ODMgMDAwMDAgbg0KMDAwMDcwMjgzMCAwMDAwMCBuDQowMDAwNzAzMDc3IDAwMDAwIG4NCjAwMDA3MDMzMjQgMDAwMDAgbg0KMDAwMDcwMzU3MSAwMDAwMCBuDQowMDAwNzAzODE4IDAwMDAwIG4NCjAwMDA3MDQzMDkgMDAwMDAgbg0KMDAwMDczNzA2MyAwMDAwMCBuDQowMDAwNzM3NTU2IDAwMDAwIG4NCjAwMDA3NjkzMzEgMDAwMDAgbg0KMDAwMDc2OTUyNiAwMDAwMCBuDQowMDAwNzY5NjMyIDAwMDAwIG4NCjAwMDA3Nzg2MzUgMDAwMDAgbg0KMDAwMDc4MzQ2NCAwMDAwMCBuDQowMDAwNzg5NTA0IDAwMDAwIG4NCjAwMDA3OTEzMTIgMDAwMDAgbg0KMDAwMDc5MTUyMyAwMDAwMCBuDQowMDAwNzkyMDIwIDAwMDAwIG4NCjAwMDA3OTU0NTEgMDAwMDAgbg0KMDAwMDc5ODI2OCAwMDAwMCBuDQowMDAwNzk4NjQyIDAwMDAwIG4NCjAwMDA3OTg3OTEgMDAwMDAgbg0KMDAwMDc5ODk0MSAwMDAwMCBuDQowMDAwNzk5MTU3IDAwMDAwIG4NCnRyYWlsZXIKPDwKL1NpemUgNDQ1Ci9Sb290IDEgMCBSCi9JbmZvIDggMCBSCi9JRCBbPEE4QTI2RjJGRkVCNzFERUQxOTVENkUzMkQwNjhBODIyPiA8NEM0MzYzRUExODQ1MEM0MDg0MjlEMjY5OTg3Q0YwMDI+XQovcmdpZCAoUEI6MjI3MjgwNjE5X0FTOjEwMTAwMDY0ODA2OTEyMEAxNDAxMDkxODM5MDg2KQovaGFiaWJpLXZlcnNpb24gKDEwLjEzMy4wKQovY29tdW5pdHktdmVyc2lvbiAodjMzMS4xOC4wKQovd29ya2VyLXZlcnNpb24gKDEwLjEzMi4xKQovZGQgKDE1OTQwMjcyMTk3NjcpCj4+CnN0YXJ0eHJlZgo3OTkzMTcKJSVFT0YK

# A Semantic Bank 
[[https://www.semanticarts.com/a-semantic-bank/]]



# Semantic banks and why you shouldn’t be scared of the financial future 
[[https://thenextweb.com/future-of-finance/2017/06/01/semantic-banks-shouldnt-scared-financial-future/]]

# SEMANTIC COMPLIANCE IN FINANCE

[[https://finregont.com/]]

# Financial Regulation Ontology
[[Financial Regulation Ontology]]

# Financial Regulation Ontology
[[https://finregont.com/fro/html_widoco/index-en.html]]

! Data Protection Ontology by Bartolini et. al

OWL ontology defining data protection concepts and obligations based on draft of GDPR. Aligned to BPMN as implementation of obligations and representation

[[https://www.w3.org/community/dpvcg/wiki/Data_Protection_Ontology_by_Bartolini_et._al]]

! Source code

[[https://bitbucket.org/guerret/lu.uni.eclipse.bpmn2/src/master/]]


https://bitbucket.org/guerret/lu.uni.eclipse.bpmn2/src/master/resources/

[[dataprotection-rdf.owl]]

# Click the '+' on the right to make a new Tiddler
# Add some text
# Include a bi-directional link to another page with [[Other Topic]].
# Click through to the link above to make the page.
#View it on 'Map'

! Foreword			
ON BEHALF OF the Deloitte member firms, I am pleased to present the 11th edition of Global risk management survey, the latest installment in Deloitte’s ongoing assessment of the state of risk man- agement in the global financial services industry. The survey findings are based on the responses of 94 financial institutions around the world and across multiple financial services sectors, representing a total of US$29.1 trillion in aggregate assets. We wish to express our appreciation to all the survey participants for their time and insights.
					
The current edition found that the trend over the course of the survey series toward widespread adoption of stronger risk management practices has continued. Boards of directors at most institutions are actively providing risk management oversight. The chief risk officer (CRO) position has become nearly universal, and more institutions report that their boards of directors conduct executive sessions with the CRO. Enterprise risk management (ERM) programs designed to identify and manage risks across the organization have been adopted by more than three-quarters of institutions surveyed.				
Financial institutions have extensive experience, well-developed methodologies, and access to required data to manage financial risks, and roughly 90 percent of respondents report that their institutions are extremely or very effective at managing market, credit, and liquidity risks.					
While there has been undeniable progress, risk management is now facing a new set of demands as it con- fronts a number of looming risks. Although the torrent of regulatory change has slowed, there remain major unresolved regulatory issues such as the global capital standard being developed by the International Associa- tion of Insurance Supervisors (IAIS) and adopting and implementing the final Basel III capital framework. Meanwhile, as individual regulators have become more willing to vary global regulations for their individual jurisdictions, global institutions need to respond to an increasing divergence in regulatory standards. Geo- political risk has increased due to the uncertainty over the final terms of the United Kingdom’s departure from the European Union (EU) under Brexit; continuing trade negotiations among the United States, China, the EU, and other jurisdictions; decelerating economic growth coupled with rising debt levels in China; and growing concerns that conditions may be ripe for another in the series of periodic financial crises that have affected the global financial markets and economy.	
While institutions have become more skilled at managing financial risks, nonfinancial risks—such as cy- bersecurity, model, third-party, and conduct risk—have assumed greater prominence as the exposure and consequences from these risks have become more evident. For example, financial institutions and regulators around the world have been increasing their focus on cybersecurity risk in the wake of numerous cyberattacks on banks and other financial services institutions. There have been numerous conduct incidents with both consumer and institutional customers, in many cases resulting in significant fines and lasting reputational damage to the firms involved.		
Responding to the new environment will require institutions to rethink their traditional approaches. Many institutions have or will likely need to reexamine their three lines of defense risk governance models to clarify the responsibilities of each line and eliminate overlaps and redundancies. Hiring and developing required risk management talent will become even more important, especially in the business units comprising Line 1.	
Reimagining risk management to mitigate looming economic dangers and nonfinancial risks

					
Leveraging the power of advanced technologies—such as robotic process automation (RPA), machine learning, cognitive analytics, and natural language processing—could lead to even more fundamental changes in how risk management operates. These technologies may not only reduce operating expenses by automating manual tasks but also have the potential to improve effectiveness by automatically testing 100 percent of a set of transactions, rather than having humans test a sample, and by identifying potential risk events in real time to allow preventive actions to be taken. Yet, as they are employed more broadly—both in the risk manage- ment function and in the business units—advanced technologies also create additional risks that need to be managed.
					
Effectively managing nonfinancial risks and employing emerging technologies will both place a greater premium on implementing an integrated data architecture and gaining access to high-quality, timely data.
					
This is a formidable set of challenges posed by today’s more complex and uncertain risk environment. Meeting them will require institutions to rethink traditional assumptions and employ fundamentally new approaches to risk management.			
We hope that this view of risk management at financial institutions around the world provides you with helpful insights as you work to further enhance your organization’s risk management program				
Sincerely, Edward T. Hida, CFA


[[https://docs.google.com/document/d/1jkLUyTJ_7DwcumiONRMwjHXsNoCij2YIzypodD_uIHQ/edit?usp=sharing]]

<$viz text="""

digraph {
	"RiskConcept" -> "SecurityConcept" [label="has subclass"]
	"OntoRiskConcept" -> "Waekness" [label="has subclass"]
	"RiskConcept" -> "Threat" [label="has subclass"]
	"RiskConcept" -> "Control" [label="has subclass"]
	"OntoRiskConcept" -> "Risk" [label="has subclass"]
	"OntoRiskConcept" -> "Asset" [label="has subclass"]
	"OntoRiskConcept" -> "Threat" [label="has subclass"]
	"RiskConcept" -> "Asset" [label="has subclass"]
	"OntoRiskConcept" -> "Control" [label="has subclass"]
	"RiskConcept" -> "Waekness" [label="has subclass"]
	"RiskConcept" -> "Role" [label="has subclass"]
	"owl:Thing" -> "OntoRiskConcept" [label="has subclass"]
	"OntoRiskConcept" -> "SecurityConcept" [label="has subclass"]
	"OntoRiskConcept" -> "Role" [label="has subclass"]
	"owl:Thing" -> "RiskConcept" [label="has subclass"]
	"RiskConcept" -> "Risk" [label="has subclass"]
}

"""/>

! Instructions on generating graphViz graph from Protege

[[Instructions on generating graphViz Ontology Visualization]]

! Online @ [[http://35.198.249.79:8080/webprotege/#login]]Online 

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Glossary term' sort[title]>>
</div>

<$tidgraph start="Glossary term" layout="E" mode="tagging"/>
<$tidgraph start="Glossary OntoRisk FI" layout="E" mode="linking"/>

[[Glossary in GraphViz]]

source code

[[OntoRisk FI Glossary.owl]]

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'GraphViz' sort[title]>>
</div>


{{Example GraphViz}}

! Risk management vs compliance

Risk Management  is a central topic in the FI.  FIs are kept busy with producing risk assessment reports in various forms. Commonly spread sheets and RDBS are used to report risks and their treatments. 
FI facing diverse fragmented risk management requirements  , including 

* TRM [[https://www.mas.gov.sg/regulation/guidelines/technology-risk-management-guidelines]],
* ABS [[https://www.abs.org.sg/industry-guidelines/outsourcing]], 
* PDPA, [[https://www.pdpc.gov.sg/-/media/Files/PDPC/PDF-Files/Advisory-Guidelines/AG-on-Key-Concepts/Advisory-Guidelines-on-Key-Concepts-in-the-PDPA-9-Oct-2019.pdf?la=en]]
* PCI DSS, [[https://www.pcisecuritystandards.org/pci_security/]]
* AML, [[https://www.mas.gov.sg/regulation/regulations-and-guidance?topics=Anti-Money%20Laundering%2FAML%26%2347%3BCFT]]
* Cloud Security, ISO 31000 (ERM) [[https://www.iso.org/iso-31000-risk-management.html]], 
* ISO 37001 (ABMS) [[https://www.iso.org/iso-37001-anti-bribery-management.html]]'
* ISO 22301 (BCMS) , [[https://www.iso.org/standard/75106.html]]
* ISO/IEC 27001 [[https://www.iso.org/isoiec-27001-information-security.html ]]

! Problems:

* __Often non-compliance is perceived as the biggest risk. Therefore focus and resources are located to compliance rather than understanding and  managing risks__
* __Risk scoring is based on rather arbitrary numbers without adequate reasoning__
* __For Management often It is not obvious that risk management contributes to achievement of objectives beyond compliance objectives__

! Effectiveness and efficiency of risk management

A Risk management system is effective if it achieves its objectives. If the main objective is to be compliant to  keep a business license, most risk management systems can be considered as effective.

Compliance provides an easy metric to measure effectiveness in this case.

However, What is risk management?

ISO 31000 defines 'risk management' as  coordinated activities to direct and control an organization with regard to risk

Risk management includes Risk assessment, which is defined as ' is the overall process of risk identification, risk analysis and risk evaluation'.

[img[image10.png]]


! Risk management as part of knowledge Management

Knowledge about the standards above is often considered as an expert matter rather as part of the operational framework.

As a matter of fact; risk management is often considered as a compliance issue and male limited  contribution to the health of a FI. Risk information should be considered as risk knowledge and be part of the knowledge management process.

Each of these requirements and standards are maintained and revised independently and do not refer to a shared Domain ontology. Despite upper level Financial ontologies are published by W3C, the immense potential of saving cost and increasing efficiency ICT leaders in the FI are not yet familiar with knowledge management concept.

!  [[ The role of ISO 31000|ISO 31000]]


With ISO 31000 the potential to integrate all risk management aspects under one framework emerged. A common vocabulary to address all types of risk is now available.

ISO 31000 plays a pivotal role in a cross-functional risk management approach. As stated in the standard:

ISO 31000:2018 provides guidelines on managing risk faced by organizations. The application of these guidelines can be customized to any organization and its context.
ISO 31000:2018 provides a common approach to managing any type of risk and is not industry or sector specific.
ISO 31000:2018 can be used throughout the life of the organization and can be applied to any activity, including decision-making at all levels.

Furthermore:

* Note 1 to entry: An effect is a deviation from the expected. It can be positive, negative or both, and can address, create or result in opportunities and threats.
* Note 2 to entry: Objectives can have different aspects and categories, and can be applied at different levels.
* Note 3 to entry: Risk is usually expressed in terms of risk sources , potential events , their consequences  and their likelihood.


For the FI the following facts are especially relevant. 

! The risk concept fits to the context of FI

risk is defined as "effect of uncertainty on objectives"

! No explicit or formal definition of the risk concept

!! Example MAS TRM

Often risk management requirements are defined without providing a definition of 'risk'. It is taken at granted that everybody have a common understanding.  E.g. TRM does not provide or reference a risk definition. It requires under  

! 4.1 Information System Assets
!! 4.1.1 
Information system assets should be adequately protected from unauthorised access, misuse or fraudulent modification, insertion, deletion, substitution, suppression or disclosure.

# What is an Information System
# Is the CIO part of this system?
# What actually is an Information System Asset?
# Does it include information contain in an hard disk?


!! 4.1.2 
The FI should establish a clear policy on information system asset protection. Criticality of information system assets should be identified and ascertained in order to develop appropriate plans to protect them.


! 4.2 Risk Identification

!! 4.2.1 
Risk identification entails the determination of the threats and vulnerabilities to the FI’s IT environment which comprises the internal and external networks, hardware, software, applications, systems interfaces, operations and human elements.

Based on 4.2.1 Implicitly we can say risk is related to or composed of threats, vulnerabilities

Risk are identified by knowing "threats and vulnerabilities to the FI’s IT environment "


# What is the relation between threat and vulnerability?
# Can be a threat a vulnerability or vice versa? Is there something like
# The threat of a vulnerability?
# Ts a threat a vulnerability of higher magnitude?
# Can there be a risk if there is no vulnerability or threat?


!! 4.2.2 
A threat may take the form of any condition, circumstance, incident or person with the potential to cause harm by exploiting vulnerability in a system. The source of the threat can be natural, human or environmental. Humans are significant sources of threats through deliberate acts or omissions which could inflict extensive harm to the organisation and its information systems.

# Implicitly we can conclude from the above that a threat is a potential exploitation of a vulnerability.

There are several threat types and sources:

# natural
# human
# environmental
# deliberate acts

# accidental acts can also inflict extensive harm to the organization and its IT systems; are accidental acts considered as threat? if not, they are not required to be identified.

A wrong server configuration due to operational errors might lead to an insecure TLS connection, which might lead to a vulnerability exploited by a hacker.

Obviously the hacek counts here as a threat and the wrong configuration as a vulnerability.

Is there a threat to misconfigure a server? How to decide what is accidental or deliberate?


!! 4.2.3
Security threats such as those manifested in denial of service attacks, internal sabotage and malware infestation could cause severe harm and disruption to the operations of an FI with consequential losses for all parties affected. The FI should be vigilant in monitoring such mutating and growing risks as it is a crucial step in the risk containment exercise.


#Security threats are a special type of threats? If so, what is a threat which is not a security threat?
# mutating risks
# growing risk

Does risk have the properties "growing and mutating"

! 4.3 Risk Assessment

!! 4.3.1 

Following risk identification, the FI should perform an analysis and quantification of the potential impact and consequences of these risks on the overall business and operations.

Is it not the risk identification activity to determine impact and consequences?
how does Impact and consequences related to each other 


!! 4.3.2
The extent of risk impact depends on the likelihood of various threat and vulnerability pairings or linkages capable of causing harm to the organisation should an adverse event occur.

!! 4.3.3
The FI should develop a threat and vulnerability matrix to assess the impact of the threat to its IT environment. The matrix will also assist the FI in prioritising IT risks.

__The assumption is made that Risks can be effectively described in form of a threat and vulnerability matrix
__


Lets have a detailed look at the requirements and their meaning.

In order to comply with tis requirement we have to agree about the meaning of the following concepts in the context of an organisation

# Threat
# Vulnerability
# IT environment
# Risk as it is identified

Obviously the outcome of the assessment depends on the concepts used.


[img[image13.png]]
FI have strict business objectives; Due to market uncertainty, economic changes, technology changes and pandemics, risk management should be considered as a discipline of managing uncertainty in a way that business objectives can be met. Unfortunately the above concept is not well known and it often is not understood how to apply the risk concept in practice.

In general risk is understood in terms of risk sources , potential events , their consequences  and their likelihood as per note 3.

The below figure describe the relationship between the 2 different risk concepts
[img[image8.png]]

! Complexity of risk assessment

[img[event and consequences.png]]

! Example: Covid- 19 ,  information security risk and business continuity

The following chain of events exemplifies a realistic situation in the context of the current pandemic crises:

# IT Manager get sick for sustained period of time due to Covid-19; the virus was transmitted from a supplier without PPE ,  this causes
# Due to a lack of manpower security awareness ond controls are not maintained a in a normal situation,  this causes
# An employee becomes victim of phishing attack ,  this causes
# Company’s IT System compromised
# Managed IT Service provider has capacity problems,  this causes
# The service provider is  out of business for a week
# Company get no support to cope with the incident and get  in major survival struggle
# Escalates to other problems in the supply chain

The events in this change belong to 4 different risk assessment aspects; information security risk management, Business Continuity Planning, Occupational Health and Safety and Resource Management; depending on the nature of the security incident and the context of the company , it might also relate to operational risks, personal data protection etc.

Without a clear risk concept and sharing knowledge, the chance to identify a chain of events and to mitigate related risks is low.

It is not expected that any of the standards above will help to identify and manage the risks adequately, the organization might be fully in compliance with all applicable regulations and standards.

! Ontologies and knowledge management in FIs

Financial Regulation Ontology [[https://finregont.com/fro/html_widoco/index-en.html]]

! How to measure effectiveness of risk management

! Steps of effective risk management

!! Set the basics

# Understand risk as effect of uncertainty on objective
# Define the context of the FI
# Define a taxonomy of objectives and convert them to an ontology. Compliance objectives are only on type of objectives

!! The assessment process

# Identify risks using shared risk ontologies
# Analyse risks using graphical representations to understand risk sources and stakeholders impacted
# Evaluate risks based on quantitative and qualitative criteria
 
[[Selected Topics]]

[[Getting Started]]

[[ http://tobibeer.github.io/tw5-plugins/#plantuml]]

[[ https://www.w3.org/TR/vocab-org/]]

[img[Semantic_web_stack.svg.png]]

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

iVBORw0KGgoAAAANSUhEUgAAATwAAAEyCAYAAABnD2x2AAAgAElEQVR4Ae2defzVU/7HvwYl1WRJIZIyRc2MJJUKM2hTWhFZYsieLUUl22imLFOqsZaopLQoDCKKKGvSiEbFoJIU2iTr7/F7mef8uvfX7XOXz733c7/35Y/7uuec9znnfV7n6/t99T7bDj///PPPJf7PDJgBM1AEDPyqCMboIZoBM2AGxIB/4fkHwQyYgaJhwL/wimaqPVAzYAb8C88/A2bADBQNA/6FVzRT7YGaATPgX3j+GTADZqBoGPAvvKKZag/UDJgB/8Lzz4AZMANFw4B/4RXNVHugZsAM+BeefwbMgBkoGgb8C69optoDNQNmwL/w/DNgBsxA0TDgX3hFM9UeqBkwA/6F558BM2AGioYB/8Irmqn2QM2AGdgpXxR888036nrmzJnCuXPnCpctWybcsGGD8KeffhL6wwyYgegzsMMOO8jJChUqCA888EBhkyZNhK1atRJWrFhRmOsPK7xcM+7+zIAZyBsDO+TqxuN169ZpkIMHDxaOGDFCuMceewjbtGkjrFOnjrBSpUrCX/0qnN/JXOzMXyA1nsMP9//Lxdrm/xcFlMMfPXWVq58//kXGv9CWLFmi/mfMmCFcvny5sEePHsIBAwYIK1euLMz2Rzi/TbLtpds3A2bADITAQNZjeE8//bTcPPPMM4WHH364kNhdo0aNQhiGmzADZqAQGFi4cKHcvPHGG4W1atUS3nvvvcJTTz1VmK0PK7xsMet2zYAZiBwDWYvhDR8+XIPt37+/cNSoUcKTTz45ciTYITNgBvLDALG90047TQ5cdtllQhRg2F5Z4YXNqNszA2YgsgyErvAmTZqkwZ5//vnC559/XtigQYPIkmDHzIAZyC8DrOYeffTRcuSGG24QXnjhhaE6ZoUXKp1uzAyYgSgzEJrCW7p0qcaJkkPpsbM6yiRsz7fvv/9exeCuu+66PXOXmQEzkAEDr776qmq3aNFC+OKLLwr5vZJB06pqhZcpg65vBsxAwTAQmsLr2rWrBr3nnnsK77rrroIhYXuOfv755ypetWqV8NBDD92eucvMgBkIgQFieHPmzFFrL7zwQgitlpRY4YVCoxsxA2agEBjIWOEtWrRI42zcuLGQ206qVq1aCOMP9HH16tWyWblypbB+/fqBdUqDwdChQzWMBQsWbHM4nIn99a9/rfJmzZoJTznllBj7jz/+WGn+Yt9xxx1K8y+BGOMkEn369JHVscceK2zdunUStWxSaAxwFrdmzZpyffLkycJjjjkmo6FY4WVEnyubATNQSAxkfJb24Ycf1ni57aS0KDsmMVe3TNBfVJCzzij4du3axbi2ZcsWpZ999lnhsGHDhIsXLxZef/31wk2bNgmJxbDarcw0PqZMmaJa/JxZ4aVBYgFU4b68k046Sd7ye8YKrwAmzy6aATMQDQYyVnizZs3SSC6++OJojChkL4hVofRCbj7yzdWrV08+cjY6kcMdOnRQ0X333SdE4dWtW1fpDz74QLjjjjsK+fjhhx/09ZNPPhHuvvvuMYhdsvjjjz/KlHkL6z7FZPu3XbgMtG/fXg1yxjbT1h3Dy5RB1zcDZqBgGMhY4b3//vsabFg7oQuGOTsawwAxtTJlysTkz58/X2nuQWTVlptvO3bsqPI1a9YIUdKs+k6dOlX5VapUESb6uO2221TUr18/4fjx44W+nScRY4WRz++VDz/8UA4TOy5btmxaA7DCS4s2VzIDZqAQGUhb4REr4a2KXN1Jn2uSURzEhHLdf777++ijj+TC3/72txhXNm/erPQ777wj5Oz0oEGDYuwSJbjvjNesxo0bJ9PPPvtMSP6YMWOUvvrqq7fZ1JAhQ5TPvYsTJkxQukuXLtu0d2ZhMcDvFd7K+PrrrzUA/kWR6mis8FJlzPZmwAwULANpKzxW1xj5zjvvzFdjKWJgxYoVGs0jjzwi3Lhxo5D9drw69+STTyq/bdu2wqAPTlpwXyL7+E444QRV5exyoljNgw8+KLt3331XyJsIVnZBzBdWOav6/Asr032cVniFNf/21gyYgQwYSFvhxfdJrCs+3+nCZqB58+YaAAqO0UycOFFfeYtg3rx5Sier8HiX+IorrlC922+/Xcg7pTVq1FCaHfZNmzZVmg/uX6xWrZqyiCFy0zZ2RjOwNQNWeFuz4e9mwAyUagZCU3j8GztfbI0dO1ZdP/XUU0L84UweMZ58+Vfa+uX+w9dff11DGzhwoPDII48UBim9t956S3YoutGjRys9e/ZsYc+ePYXsqyNfmSUlJX379tVXbk3hLQTm+YILLsDUaAb+y4AV3n+p8BczYAZKOwOhKbxcE7V27Vp1iZIrV66c0nvvvXdMfvny5TNyjfYzaqSAKweNH2X3xBNPaJQXXXSR8L333tvuqFmV/eqrr2RHrK5OnTpKo8x32223bbbDvBJjpF/263GLygEHHLDN+s4sTgas8Ipz3j1qM1CUDERO4cXfXV+pUiVNDGcx42eJfWDcmwXG26WbZvUZTLedQqvHLSPscE/k/y677KIibkn54x//qPR1110n7N69e0xV2r311luVT6ztoIMOUpoTPNwszRlZGqF+vPLkhAdKs0ePHqrCfX3UNxY3A1Z4xT3/Hr0ZKCoG0n7TglsL+AtPTA3FlS6Lxx9/fEzVQw45RGnuY0Npffnll8qnv8cff1xp3rGkkQoVKujrzTffTFZK6FfLUqIrbeP169erLjvpOYmRdoOuWKoYQNlzb+J+++2X1vis8NKizZXMgBkoRAYiF8ODRJQcaZDbEoj1cFsLio/bNrBntY+0MZoM8PpZNL2zV6WFASu80jKTHocZMAOBDERO4V1yySVymlU4YnSMhDcPiBmyT+ucc86RCYh9pogfmbbj+mbADOSfASu8/M+BPTADZiBHDERO4XXq1CmlobNPjNsynnvuuZj6rNIOHTo0Jj/VRKKYYqrt2N4MmIH8MWCFlz/u3bMZMAM5ZiByCi/Z8XPDMvu3UHrckEo7O+2U2RBRdo7lwajRDBQuA1Z4hTt39twMmIEUGchM/qTYWZjm8fu2uHkXDLMvt2UGzEDpYMAKr3TMo0dhBsxAEgwUrMJLYmyhmBC7I5YXSqNbNfKvf/1Lqb/+9a/CDh06CFNdrd6qSX8tBQy8+eabGkXDhg1LwWiiMwQrvOjMhT0xA2YgywxY4QUQjLJD6QWYp1zMGwwPPfSQ6vJGhBVeylSWigq809umTRuN57vvvisV44rKIKzwojIT9sMMmIGsM2CFF0Axyg6lF2CedDF/uXltjbcYeJ+Ve/2OOeaY7ba5ceNGla9atUpYvXp1YZkyZbZZ74cfflA+94pxNhncZqWtMlevXq0U+x55Q2Qrk5iv6faX6ri4PYd9mJy15h61+PFxyw7zG7/qHzOIkpISxvvxxx+rqGrVqsJdd9013lRp/KF/0vDOWxv4SyPc+kN/1Iu3w96YGgNWeKnxZWszYAYKmAErvDxNHm8v8Bf9iiuukCezZs0S3n333cJECu+mm25S+S233CJECaAoevXqpfzBgwcL586dK+zYsaNwzZo1QpRrs2bNlJ46daqwSpUqwmXLlgnZ3/jGG28ozQdvjUycOFFZtWrVEqbbX6rjYjXziCOOUL/dunUTPvLII0IU3MUXX6w0H3fddZe+cmKHtzXuvPNOTISc0b7wwguVZr7gmbczRowYoXJO9vBGB6usTz/9tMo3bdokRHFOmTJF6cqVKwtPOeUUIR+0t3jxYmXxqhvlxtQYsMJLjS9bmwEzUMAMRO5Ni6hxma03Ldq2bauh8oYDr2uhFK666iqVf/rpp0JiRrzjypsPKMGzzz5bdqNHjxZeeumlwiVLlghRMLxBMm7cOOVzQ3STJk2U7t+/vxCF2LRpU6V5w+TBBx9UGkXJe7DEmF555RWVt2zZUphsf+eee67sUx0XsToUXrt27dTOPffcE4Mo4aOOOkr5I0eOFBIr5R5GYpQo4Hr16skOJTdgwAClUeLnn3++0ryZglI/8MADlb9582Yhsdq6desq3b59eyGxQ17rGz9+vPJ57Y2z4ry7jGKVURF9oKiJgfpNiyKafA/VDJiB9BhwDC893tKutXz5ctWdMWOGECVCbIe//CiFUaNGya5fv35C/tKzOsj+PWI9nNRAMRGjQjmxz2vYsGFqD6XJKm/ZsmWVz1/SV199VWkUJ2+KKLOkpKRVq1b6isJBESfq74QTTpB9fH/ffvut8lMdFwoPf6655hp9rVatmpCYHgqPWFzt2rVVzo3ZKLWFCxcqn1glq+nsi+NkzL777iu7ww47TPjYY48JmTclSkpKzjrrLH1t0aIFWcITTzxROGHCBCHKDf4xhg/SxswYcAwvM/5c2wyYgQJiIDSFx2pfAY09L66OGTNG/RIDIzYExjt13333Kevaa68VEhNj1Y+YGzE69m+hpIjVERtEgbDfj5hUjRo11P7DDz8sjJ9PlMi0adNUHv9Rs2ZNZREDS7U/YoWpjivej/333z8mC0VMJjE00vH7FRk3sVOU82WXXUaVbWKimBKx1/hK5cuXVxY/B5Sj9Egbw2XACi9cPt2aGTADEWYgNIXnv0zbn2WUA6uoXbt2VQVuSYmvzWrnmWeeqSKUz5FHHqk0sbKZM2cqzcmEyZMnK83qKYrtN7/5jfJRdPgxe/Zs5ffs2VNIrJByZZaUlBCjIzZI/sqVK/V1/vz5Qvbhvfzyy0on2x/7/1IdV+PGjXFFyGpxTGYaCWJ0/FxzxpnYJE2+9tpr+oqyJh+kPmljfhmwwssv/+7dDJiBHDIQmsLLoc857Sqsv9Bz5syR30uXLhWyf479WvGD4kwssTvs2bnP+7vE5DiLe/DBB6sp9i2xCsmqLPv4UH7s3K9YsaLqYU9Mj5MUQ4YMUTn2+H366acrf8OGDcLWrVsLhw8fLuRkQlB/nLmNH1fv3r3VTqJxqTALH6yWX3fddWodflG6nKllvMwTCjxdl9iXR2yPn5tGjRqpyfhV3HT7KdZ6VnjFOvMetxkoQgas8AImndgbGGCesJgTCuwPO/bYYxPa/m8BsShOUBDr42QGiuuGG25QO+wzY1UR5dWlSxeVs1+M1VzOeqIk6tevL7vbbrtNiLJl5z+xRE4q4B+rq8T86J8zvMn2x9ndVMf13nvvyV8+8Jt0uoiiZFWdGCfzWKlSJTXduXNnIfv/0u2Per///e/1lZ+To48+WmneWz7++OMxNabBgBVeGqS5ihkwA4XJgM/SBswbq4acDDj00EMDauS2GOX50UcfqWOUQVCshzOaKMb41cdEoyAGiJIi5pfInvxU+0t3XPQXNuLPihUr1DT3AKJow+4P5Q1v3K4Sdj+F0h4xaU4AJdr3GDQeK7wghlxuBsxAqWHAMbwCn0qUFicdkh0Oq4HJ2mOXrtJItb90x4WfYSP+pKssUvWHGGm6fKfaX7HYW+EVy0x7nGbADJRY4QX8EPCXPcDMxWbADBQAA1Z4BTBJdtEMmIFwGLDCS5JHVumSNLeZGTADEWTACi+Ck2KXzIAZyA4DVngBvKLsHMsLIMrFZqAAGLDCK4BJsotmwAyEw4B/4YXDo1sxA2agABjwL7wCmCS7aAbMQDgMOIYXwCOxO2J5AeYuNgNmIMIMWOFFeHLsmhkwA+EyYIUXwCfKDqUXYB6ZYm414c2FZcuWyTduJk70BkNkBpBlR5hP3n094IAD1OMRRxwh5NaZLLvh5nPMgBVejgl3d2bADOSPASu8AO5RAii9APO8FXMjLjcNz5o1S77Url1byFsU3NTL/WJ5czjPHTOfmzZtkifcbPzOO+8ozc3Dl19+udLc+FzsvOV52jLu3govYwrdgBkwA4XCgBVeocxUnJ+ffvqpcngn9u2331aa17Xuv/9+pXldLK66kwkYWLNmjUqmT58uHDhwoPCOO+4Qjhw5UsgrYkr4o2AYsMIrmKmyo2bADGTKgBVeAIPEeojlBZhnvXjevHnqo1OnTkJezZo8ebLSqd4snHWHC6yDypUry2OUc/fu3ZW+8847hccdd5zwnnvuEfI6nBL+iDwDVniRnyI7aAbMQFgMWOGFxWSW21m0aJF6aNOmjZDVWN59zXL3Rds8r5L16tVLHPC+L8q6fPnyyu/YsWPRclRIA7fCK6TZsq9mwAxkxEBoCo9YV0beuPL/Y4B3Sdu3b6+y3r17C63s/h9VOck49thj1c+4ceOExPBeffVVpQ855JCc+OFOts0AJ4j+9a9/yeCtt94SsovBCm/bvDnXDJiBUsjADj+nKc22bNkiOnbZZRfh2rVrhXvssUepounzzz/XeFatWiU89NBDczq+/v37q7/XX39dyImKnDrhzhIygOImxvrUU08ltHVB+gxwwuWTTz5RI3vttZdwwYIFQhQ2io7Ya4MGDVQOWuGJDn+YATNQDAxY4QXM8urVq2Xx2WefCXOl8Oi3Zs2a6nfOnDlCVgmV8EfeGfj666/lQ61atYTTpk0THnXUUXn3rTQ5UKVKFQ3n4osvFhKjI79x48bKB5mPeA6s8OIZcdoMmIFSy0Boq7SllSFCnGCuxjl+/Hh11bBhQ2GQsnvsscdk99JLLwmHDBkiTPaDWGHz5s1Vhf1+ydYP244zrdxmwn11kyZNUldLliwR9uvXL6bru+66S+mpU6cKOUvM2eIY4xASu+22m1o566yzhJy1tcILgdytmuCkEz8H5513nkr322+/rayCv1rhBXNkCzNgBkoJA1Z4SU4kf2GSNM/YbMaMGWqjQ4cOSbXFPqNHH31U9qkqPG4H4eRAvhXewQcfrHGgzPjL/vHHHyuf1TjIIaZzySWXKKtr167CP/zhD5hkFZmnU089Nav9FGvjX3zxhYbeokULYarKDt6s8GDCaAbMQKlnwAovolPMzbs33XRTqB7++OOPam/FihXC6tWrp9Q+q8fsaN977723WZ9yCtlHxT1+u+++u4oqVKiAiRD/eJODNDHUq666KsaefNqlEIXLKh7t7LjjjpjEIO3gdyK7mEpbJZo0aaIUSoT9m1WrVt3Kyl/zzYAVXr5nwP2bATOQMwas8AKoznXsDndQCPvuuy9ZGeG9996r+n379hWioHjrgpMy8Z3w2tlpp52mojfeeCPG5PDDD1d64sSJQvY/0c/s2bOVz2tp77//vtLweu211yr9l7/8Rfi73/1OiNI6+eSTlb755puFrNqyGj1gwADln3DCCUI+4O2cc85R1tixY4Xsp+TeO+wvuugifX3vvfeEtE95EHLiaM8995Qp82eFF8Rcbsut8HLLt3szA2YgjwxY4SVJPjGeJM3TNvv+++9VF4WDcki3wfnz56vqpZdeKuzTp4+QHeu33Xab0tzoq0RJSQnjPeOMM5T1ww8/CIktkqYd9qG98sorNCHkDDD392E3dOhQlZPP62CsNjNu9iOedNJJskfREZNr2bKl8v/xj38I27ZtK+Ts884776w0ChRkNZcz4axuDxo0SPbpfpQtW1ZVN2/enG4TrpdFBqzwskiumzYDZiBaDFjhBcwHSoeYU4B5xsX0l3FD/2nghRde0DdWHVFIKChiYyNGjIjpklVPbqFgdZSzoxi3atVKX2mH2BXl7J9DWZLPO68oPOoR82JVFz9RatQHGRd25LOfkFXgLl26qIh77FB4TzzxhPJRZOzfox1j6WLACq90zadHYwbMwHYYsMLbDjn5KEKx0DexKtKpIqustWvXVtV4JcQrZ/E39aLw6G/ChAn6ym0g5IPc6sI+PfIT7dNDeWGXaJxhKV5Wa7mxeOnSpep6zJgxQt6kqFSpEi6lhYwjfh7TasyVQmfACi90St2gGTADUWXACi9gZojdhaU0ArorQRmggNgvR2wrqH58OWdSR40apaKNGzcKaf+bb75RmttHqM8+NtLE6HivlfyVK1fqK6vB7MOjHP5Ip4qZ1qc/ztTWqFFDWfDBmeXHH38c07SQnw9inNyiklZjrpQ1BqzwskatGzYDZiBqDFjhBcwIf7nDUhoB3f23mJjbu+++qzyU2n8NkvzC7RKsenLv3dVXX60WWJ1lPxrNooQ4ScHZVE5mcM8cr3ZxkqJ169Y0kRFWrFhR9bkVpVmzZhm1x/ydffbZagfFus8++ygNT+l28uGHH6oqMTxWp9Ntz/Wyw4AVXnZ4datmwAxEkAErvIBJQRmg9ALMQyvmxtwnn3xSbXLSIKgD/MWubt26+vrQQw8Jr7zySuGwYcOExNxAZZaUlNAOJx3YN4dfxBqbNm2qKqNHjxbyWhTtpIvcxzdw4EA1wS0knFVNt93u3bur6o033ijk5AcKON12mSduTUm0bzDd9l0vHAas8MLh0a2YATNQAAz41bKASWJfGauR9evXD6gRTvG8efPUEGdDuemX2Fa6vaBUGU+1atVSaopVYxRgtlcj6Y9xZ6og//nPf2q8vD7HTcm/+c1vUuIh3rhRo0bKIkbIGeN4O6fTYwAFzru0vvE4PR5dywyYgSJiwDG8gMlGEaFoAsxDKz7yyCPVFq+VcasJq4vpdsQ4UlV29MdNxaSzjZn2x6pp79695Sr77tq1a6d0psqO1+JQzJzoyDYvbj89BhzDS4831zIDZqAAGbDCi/ik3XrrrfKQkwKdO3dWOlexxIjTE+geq8mcnW3QoIHqsK8wsIEEBryby6r3n//8Z1mWK1cuQQ1nR4EBK7wozIJ9MANmICcMhKbwiHXlxOsi6oSTDuwb4/3TuXPnioV0Y3FFRKGGmulZWfji3jyUdvPmzVXk2B0MRRut8KI9P/bODJiBEBkITeGx+heib25qKwZ69eql1L///W8h+76mT5+udMOGDbey9tewGVi+fLma5N489h+OHDky7K7cXhYZsMLLIrlu2gyYgWgxEJrCi9awwvMmasp1+PDhGhy3qRxzzDFKc08db1bstdde4ZFQhC0Rq+PMMa+ZdevWTWzwylumJz+KkNq8DtkKL6/0u3MzYAZyyYAVXgDbrD6DAeY5K+7Zs6f64tWwvn37Ks0ZQ/btcesI9+nxhgVnE3PmcMQ6Yj43bdokz7jPbubMmUo/88wzwnr16glZ5eW2GGX6o+AYsMIruCmzw2bADKTLgG9LCWCO91J5yZ5bNgKq5a2YEwVTp06VD+zXQ8GsX79e+T/99FPefIxCx8Rmeb+2evXqcuuII44Qtm/fPiYdBZ+L2Qf+ReLbUor5p8BjNwNmICUGHMNLia7oGx900EFysk+fPtF31h6agRwz4Bhejgl3d2bADOSPASu8AO6J9QSYudgMmIECYMAKrwAmyS6aATMQDgNWeEnyyL6tJM1tZgbMQAQZsMKL4KTYJTNgBrLDgBVeAK8oO8fyAohysRkoAAas8ApgkuyiGTAD4TDgX3jh8OhWzIAZKAAG/AuvACbJLpoBMxAOA47hBfBI7I5YXoC5i82AGYgwA1Z4EZ4cu2YGzEC4DFjhBfCJskPpBZi72AyYgQgzYIUX4cmxa2bADITLgBVeAJ8oO5RegLmLzYAZiDADVngRnhy7ZgbMQLgM+BdeuHy6NTNgBiLMgH/hRXhy7JoZMAPhMuAYXgCfxO6I5QWY57z4gw8+UJ+zZ88WLl68WPjll18Kf/jhB6E/kmNgxx13lCGvu3GDdLNmzZR/+OGHC6P685DcKIvXygqveOfeIzcDRceAFV6BTfmTTz4pj2+44QbhP//5TyHvpdavX1/p2rVrC3feeWchH0GKNaicdtLFoPaDytPtl3pB7aOI161bpyovvPCC8LrrrhNWrlxZeM011wjPO+884U47+X8lERHxDyu8iE+Q3TMDZiA8BkL7s8RfzvBcc0v/ywDv4Xbr1k2EvP/++8Lrr79eeNpppwl32203oT+yw8CWLVvUcLzCHjp0qPInTpwojPq7xdlhp3BatcIrnLmyp2bADGTIQGgKz6tWGc5EXPV33nlHOe3atRO2bNlS+MQTTwjLly8v9EduGChbtqw66tKli7Bjx47CO+64Q0gMdezYsUp36NBB6I9oMWCFF635sDdmwAxkkYHQFF4Wfcxr07lWritWrNB427RpI7z88suFrArmlQx3/l8G2K/Xp08f5dWtW1dITHXGjBlKN23a9L91/CX/DFjh5X8O7IEZMAM5YsAKL4BoVp/BAPO0i3/66SfVjY8RWdmlTWlOKxJr/dvf/qZ+O3fuLFy0aJFwzz33zKk/7mzbDFjhbZsX55oBM1AKGbDCS3JSsx3Le/jhh+XJmjVrhHfeeWeSntksSgz06NFD7rBfb+DAgUqj/KLkazH6YoVXjLPuMZuBImXACi/PE0/sjpMTgwYNkkfxZ2CD3GQ1l/15f/nLX4Kq5LR86dKl6u+WW24RDh8+XFixYsWc+pGrzphHblfp3bu3ut5nn31y5YL72QYDVnjbIMVZZsAMlE4Gdvg5zeVHzhbusssuYmbt2rXCPfbYo1QxtXr1ao3ns88+E4Z9VvLFF19Uu506dRLSX7K3b8ybN0/14vd7cYvKb3/7W5Xn+2Pu3LlygXvlPv/8c6WrVKmSb9ey2v8xxxyj9pnfK664Iqv9ldbGf/WrX7TZJ598oiHut99+aQ3VCi8t2lzJDJiBQmTAMbwkZy1NIRzY+vPPPy+btm3bCpNVdjT8wAMP6Ovxxx8vZJX37rvvVvrvf/87pjH4448/Ks1fTtL8BT3ggANUzomCmMpbJb755hulPv30U2HVqlWFyd7eQr+sguPPVl3oK7FO7EDur8Pv3XffXfZgfDvxaRQ17e+9997xJhml27dvr/rMsxVeRnRmXNkKL2MK3YAZMAOFwoAVXsBMoexQFAHmKRezE59YT7INbNq0Sabcw8bq5+bNm5XPKu3gwYOVrlChQkzTvNXQsGFD5T/99NNC2kUhTZkyRfl//OMfhcTeuJ9v1qxZyo/niVXjIUOGqDzRB8oWhfXss8/GmKLgqlWrpnxuHmb1k1tLULb4Qaxw6tSpqkescNmyZZHqptUAABU+SURBVEpz5vWNN96I6Y924bVWrVox5akmGjVqpCojRoxItarts8CAFV4WSHWTZsAMRJMBK7w8z8sXX3whD1AgybozadIkmX777bdCFNd3332ndP/+/YXjx48Xnn/++cL4jzlz5ijrscceE3LrB7Gnm2++WfkoPO5/474+FOq+++4rO5Tm7bffrjS3iSixjY/u3bsr94wzzhCyGs5+NW4d4RW2rl27xtg3adJE6XHjxsXUJ3/MmDHK79WrV0w9lCPjIJZ40UUXye6ss84SvvLKK8J0P5hXFGi67bheOAxY4YXDo1sxA2agABiwwguYJGJ3xIYCzFMu/v7771WnTJkyKdVldbZFixaqV65cuRg8+uijlWa1NpHCQ8nQDk6ceOKJ+jphwgSyhMTmODPKK14LFixQefyq7ldffRVTPz7B/jTegX3kkUdkctVVVwlRaCeccILSKCZuH2H1c9iwYSonJshbINxUzCruq6++GtP+119/rTQfrVq10leULTFLVp+xSxaZV5R3svVslx0GrPCyw6tbNQNmIIIMWOEFTArKDqUXYJ714iVLlqgPYm90GL8KSz6IsiG2RX4i5cKZXGJb2KN4zjnnHGUtXLhQSMytTp06mApZfY3J3CrBSZ1TTz1VucTizj33XKUff/xxIbFIqrLqyb42YoYDBgyQSY0aNYTcQsM8Uh/lOm3aNLJisGbNmkqzTy8RTzGVnIg8A1Z4kZ8iO2gGzEBYDFjhBTCJsotXCAHVki7mVhRieUEVid1xkoF9ZPGxM5RZ48aN1eQ999wjjFd4jC+oX8ovuOACfUVRsq8NRTRz5kyVz549Wxik8GgXxYif3B9HP9wojP1bb72lryi60aNHK02/PXv2VLpfv35CypUoKSkhRoeSJH/lypX6On/+fGGm+/CYV+aZfoz5YcAKLz+8u1czYAbywIAVXh5I37pLbpdhP97WZVt/R7GxannKKaeomBMTW9tu/f30009X8v777xeinLa2SeU7ipBVVWJbnKVFcdEmt+qQToScSGAfIPv5LrnkElWJV0isyrIKTKyOGCL37KGEielxkoITINgfeOCB6ge+NmzYoHTr1q0TuZxUPvPKqnJSlWyUNQas8LJGrRs2A2YgagxY4QXMCLE7lE2AecrFKJq33357u3U5Y0qM6cwzz9yuPYXEqLhheOzYsRSlhTfeeKPqESNDQXHLC/v03n33XdkRa4u/RzDRrShnn3226nFCg3S8s7feequyiCmidFHC9evXV/ltt90mZP5Y7YW/o446SuXEQLlXkJgf45JRGh/M6yGHHJJGbVcJmwErvLAZdXtmwAxElgHfeBwwNew7Y+d+vFIJqB5Y/Nxzz8km/ixpIgUU2GCODZYvX64euUcuU0XE2x68+sVqadCw1q9fLxNWRZONmREDRAGiWIP6S7a8ZcuWMuW+QpRrsvVt9wsD/P/AiRnfeOyfDDNgBsxAAAOhxfCIdQX05+I4BriFBGX0j3/8QxacZY0zj1wy3b+0DOTNN9/UV1afR40apTT78bALQlaNg+ziy7n3Lz4/0/RHH32kJjgRwyp5pu26fmYMOIaXGX+ubQbMQAExEJrCIwZSQGOPhKsoO/av9e3bV35x6wexi0g4mwUnGB+rutxozCpqFrrMSZOMg9toeCMkJ527k4QMWOElpMYFZsAMlDYGvEobMKPclsFNvGGv0tI9N/AedthhyiKGx9sU2BmjzcCjjz4qBy+88EIhN0Jzm0y0vY+ud/xLwKu00Z0je2YGzEDEGAgthhexcYXmDqvPYGgNxzVELI+3JbjlhFtIzjvvvLgaTkaJgZdfflnuME+8OWJlF6VZKilxDC9a82FvzIAZyCIDVnhJkpurVWjOhE6fPl2e8e4qNx0PHDhQ+SjCJN23WZYY4H5CzhBzZpm3MbLUrZtNkwErvDSJczUzYAYKjwErvIjOWfPmzeXZa6+9JuzSpYuQNxi4Lw4FGH9fXESHVbBuEcN96aWXNAb22X344YdKc0KG1+IKdqCl3HErvFI+wR6eGTAD/8eAFd7/cbHNb7mK3W2z85KSEt5U4NaQhx56SKbcusH7sMSMuAeO92Id60vE7LbzuU9v3bp1MnjvvfeEzzzzjHDz5s1C3s0Fd911V+X7I9oMWOFFe37snRkwAyEy4JMWAWRy0oKbhlFQAdWyXkxMae7cuerrxRdfFC5evFj45ZdfCjnBoUSIH/SfLwWcrf7Z0V+pUiWxhcJu1qyZ0scdd5ywTJkyIbLppoIYYF580iKIKZebATNgBv7DgGN4AT8K2VISAd0GFqOsUB5gYEUbmIEiZsAxvCKefA/dDBQbA/6FV2wz7vGagSJmwL/winjyPXQzUGwMOIYXMOPEyojlBZi72AyYgQgzYIUX4cmxa2bADITLgBVeAJ8oO5RegLmLzYAZiDADVngRnhy7ZgbMQLgMWOEF8ImyQ+kFmLvYDJiBCDNghRfhybFrZsAMhMuAf+GFy6dbMwNmIMIM+BdehCfHrpkBMxAuA47hBfBJ7I5YXoC5i82AGYgwA1Z4EZ4cu2YGzEC4DPgXXrh8ujUzYAYizIB/4UV4cuyaGTAD4TIQWgyPWFe47rk1M2AGzEB4DFjhhcelWzIDZiDiDISm8LyKmd+Z/uabb+TATz/9lF9HSlnv/FyXK1dOI+NthVI2zKIZjhVe0Uy1B2oGzEBoCq+0Uslf+HyNj9jo008/LRcmT54s5LWyZcuWKZ2t18nyNe6o9cvPwf777y/XGjduLGzfvr3wpJNOEu6yyy5Cf0STASu8aM6LvTIDZiALDFjhBZCKwgIDzEMrfvbZZ9VWnz59hGvXrhV26tRJOHToUOEhhxwi5B3VHXfcUWl/hMMA875x40Y1iKJmfgYNGqT8vn37Cm+++WZh9+7dhY75iYbIfFjhRWYq7IgZMAPZZmCHn/kTlmJPW7ZsUQ1iFiiQPfbYI8WWom3++eefy8FVq1YJDz300Kw4/OOPP6rdq6++Wjh27FjhDTfcILzwwguFO++8s9Af0WJg6tSpcuiaa64R1q5dW/jII48If/3rXwv9kR4DKOVPPvlEDey3335pNWSFlxZtrmQGzEAhMuAYXp5njX1zXbp0kScfffSR8K233hIecMABefbQ3SfDQOfOnWXWokUL4emnny5s2rSp8OWXXxbutttuQn/khwErvPzw7l7NgBnIAwNWeAGks/8qwCztYlZhUXYogYoVK6bdpivmjwHmbdq0aXLi5JNPFp5yyilC9lN6NT0/c2SFlx/e3asZMAN5YMAKL0nS01zMTtj67NmzVTZq1Cjh22+/LUQhJKzogoJggFXFMWPGyN8mTZoIhw8fLrziiisKYhylzUkrvNI2ox6PGTADCRmwwktIzS8FKLuwY3ns1+rfv786qlGjRoAnLi5EBsqXLy+3ORnTtWtXpc855xwhJ2QKcWyF6LMVXiHOmn02A2YgLQas8NKiLf1KxO5Ylb300ku329idd96pcmJ82zXeqvDyyy9X6rDDDtsqN3dfr7zySnXWoUMH4R/+8Ifcdb6NntasWaPcTZs2CXO9v/G4445Tv/Xq1RM+8MADQnhSwh9ZZ8AKL+sUuwMzYAaiwoAVXsBMELsjlhdgHljMmcsTTzxRtpxFTlTx+eefVxEnL5JVSmH5m8ivoPxHH31UJgcddJAwWb+D2k23/OCDD1bV+++/X5hrhYff7MubOHGisqzwYCY3aIWXG57dixkwAxFgwAovYBJQSii9APPA4nnz5smGVdrACv8xqF+/vr49/PDDyVaRHWd1GUeiHf6Ug+wjozNuc+G2Cm7/2HPPPTFJCmknkR+U038i3nnD49NPP1W/VatWFcafVaW9r776SuWkGWd8+5s3b5bdZ599JmT1HH+UmcFHmzZtVLtXr15C/EnERwZdueo2GLDC2wYpzjIDZqB0MmCFFzCvKAAUQYB5YPGHH34omzp16gTahmHAzv7rrrtOzXG/36677hrTPPvD1q9fr/xnnnlG2K9fP+GQIUOE3377rZCPBg0a6Cv2e+21F0UxyBsczZo1Uz5+VKlSJcaO+wa7deumfPrHnvxZs2apnHlhnlidxt/f/e53skPpEkPjZmJuKr7ssstkd9999wlRXijGe++9V/mciVUijY+aNWuqFn6vWLFC6erVq6fRmqukyoAVXqqM2d4MmIGCZcAKL8dTt2HDBvVIDCzZ7hcsWCDTHj16bLdK/M5+7mXr3bu36k2fPl142mmnCdetWyd84oknhCNHjhS++eabwr/+9a9CVjdpD8XG/W/c7ItSUqWSkhKUF+lkEUWG/e23366v77zzjnDRokXCfffdV3jLLbcIseMWGngrW7asysePHy/klbFhw4YpzfhYPUWJ8mbFWWedJbuGDRsKUWpKpPABHxUqVFAtfh5SaMKmGTBghZcBea5qBsxAYTFghRcwX8Ra+MscYB5YjHJJddUPP4IUwffffx/jQ+XKlZVm39+4ceOURuFNmjRJaRQQN/cSw3rjjTdUTixs8eLFSrM6uvvuuyv95ZdfCuM/8Ds+P9U0t4ucf/75qsq4UHDxq5ysyu6zzz6yh2/2PfI2CPsFf//738uOGOQHH3ygdNu2bYV///vfhU899ZQw6ISMjLbzgT/8PGzH1EUhMmCFFyKZbsoMmIFoM2CFl+P5QSmmqnw4EzthwoS0PP7Tn/6keh07dhR+8cUXQl5HY5W2XLlyymefGzGxKVOmKB8lhT8oylTHo8a28ZFI8bBKyy0jCxcuVG0UXPyqd6J24v1kXyHjpf1411hF5SxufHmq6Xg/Uq1v+/QYsMJLjzfXMgNmoAAZCE3h+S9WcrMfr6CSq5W5VevWrdUIMSr2qc2ZM0f5gwcPjumEmBWrtzNmzFD50UcfLdxpp19+dHiHOJGiolGUIWkUFWlw+fLlfI3BCy64QGlWN5ctW6Y0q6UzZ85UmttoEvmDwqbxatWq6SsnRthPSDk/148//riy2CdIebrI+OP3Q6bbnuslx4AVXnI82coMmIFSwEBoCi/+L2cp4CYrQ+DF9I8//ljtc4tHUGfc5/bcc88Fmar8wAMPFHJbCQrrzDPPVD776+ifNxcSNc7tIlu2bJHJTTfdJGQ1NP4ERnw77Jfj54QTDezbu/vuu1Ul0So09di/yNlZVosHDBgQ0yV+kslbIdw6wz47VqWpP3r0aFXhHr+77rpLaU5mzJ8/nybTwtWrV6se/sFLWo25UsoMWOGlTJkrmAEzUKgMhKbwCpWAIL9RFkF2yZYffvjhMuUsaKtWrZKq+vrrr8uuZcuWSdlzBnXgwIEx9qxC3nrrrconHWNUUlJy7rnnKosYHqug8HHssceq/PjjjxfGKx/saHf//ffXV05A0D9KE4V5xBFHUCUGb7zxRqV79uwp5IwrsUTO0L777rsqxx/a45YS+GCVmrPGrNayz49VbRQydr/97W9j/Eo1wbzXrVtXVYnpptqO7dNjwAovPd5cywyYgQJkYIefWYZK0XliEOxcX7t2rVpg1S7F5iJrzv4v7kfjXrp0HWYfHYqFkwvptperesxvmTJl1CUxsXT7Z5WSmB0xuWTbYzV37733VhWUXlB9Yo74H1/vu+++UxMoQFZxg9pNtpwTLuzri18dT7adYrPjZApKnFh4qjxY4aXKmO3NgBkoWAas8AKmDoW3atUqWWa6D4vVzFq1aqk99rtxAiLAHRcXKANLly6V5/z8cOsLMcICHVbO3LbCyxnV7sgMmIHSwoBXaXM8k8Q82cfGjbus1nrVLscTkqPuuI/w7LPPVo9WdjkiPq4bx/DiCHHSDJiB0suAFV7A3MbvJwswT7qY/W+8QnbeeeepLumkG7JhpBlgv+Hbb78tP7lZOdJOl2LnrPBK8eR6aGbADMQykLbCYz8WCojVx9jmS08qze2KCQngbOvkyZNl06hRIyG3gowYMUJpbuZN2JALIsnA0KFD5RcnO7iVhpuaI+l0BJ1iXyT//xEDT9dVK7x0mXM9M2AGCo6BtBUeyo53RVeuXKnBl7bbH/jLwnjDnmHuYXvppZfUdKdOnYTHHXeckNs6Mj3DGbbfbi+WAU7isBr74osvyoCzs7yZEVvLqSAG+L3Cvyh5QyWoXqJyK7xEzDjfDJiBUsdA2goPJtg5/sorryiLdzspNybHAGc2UXrXX3+9KjZu3FjISQzenuA9WO/bS47fsKx4ze3ll19Wk1OnThU+8MADwvbt2wt57Y2zvsr0R8oM8HuFf+EQ+065of9UsMJLlznXMwNmoOAYyFjhcUJg2rRpGjz3khUcEwkcJnZHLC+BWWjZrEKxf4v3T1n14z44YkbcRFypUiX5kOlfwNAGUkoaYt43btyoEf373/8W8hZFu3btlCZm16BBg1Iy8mgMY/r06XKE3zOZemWFlymDrm8GzEDBMJD2bSmMkNtEuP2Df3MT28OuUJHxhXVbSlg8cB8ct3CsX79eTSd6rSu+X5QLCja+PNl0uu2kWy/er3TbSbYe/JQvX15do6g5C0t5vF9OZ8YASrpevXpqiJMqtWvXzqhhK7yM6HNlM2AGComBjBUeg+XWD94S4B1TygsVeWUKhef9VIU6k/a7kBjo1q2b3EVZh3UG2QqvkH4K7KsZMAMZMRCawlu3bp0cOeyww4S8/nTttddm5KArmwEzUDwMjBw5UoPt37+/cMGCBcJ99tknFBKs8EKh0Y2YATNQCAxkvA+PQbIPjH0zzZs3VxFnRXv06IGp0QyYATMQw8CkSZOUvvLKK4XPPPOMMCxlR2dWeDBhNANmoNQzEFoML56puXPnKovbP04++WSleWmed0Hj6zltBsxA6Wdg8+bNGuSf//xn4d133y3k3eawTlbEM2mFF8+I02bADJRaBrKm8GCMl8L/9Kc/KWvhwoXCXr16Cbn9o0aNGlQxmgEzUMoY4F67KVOmaGSDBw8WVq9eXchtMwcffHBWR26Fl1V63bgZMANRYiDrCi9+sNyq8uCDD6po9uzZQm5KrlOnjtKs+vqsYjyDTpuB6DLAGeUNGzbIySVLlggXLVokPPLII4VXXXWVsHPnzsJcfVjh5Ypp92MGzEDeGciZwuOmWG7yrVq1qgZ/xhlnCF977TXhsmXLhPyFiL/9g78g+VJ+7v9nzY/530E85Poj6j9/v/rVLxqKXRjcLsPN3byBk2ve6M8KDyaMZsAMlHoGcqbwJk6cKDJff/114aBBg4R+d7XU/4x5gGYgMgxY4UVmKuyIGTAD2WbgfwB+d2M9qw6f1gAAAABJRU5ErkJggg==

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

iVBORw0KGgoAAAANSUhEUgAAABgAAAABCAYAAADErm6rAAAAFUlEQVR42mMwSf/vb5z+fz4tMMhsAOQ8NKMXn/50AAAAAElFTkSuQmCC

[[StatiCrypt | https://github.com/robinmoisson/staticrypt]]

* Install PlantUML

! Source code local [[OntoRisk FI Glossary.owl]]

!Visualize in Protege ontoGraph

[img[Screenshot 2020-07-08 at 11.58.16 AM.png]]

! Export as dot file

[img[Screenshot 2020-07-08 at 11.58.31 AM.png]]

! open with editor

[img[Screenshot 2020-07-08 at 11.58.41 AM.png]]

! adjust with TiddlyWiki markup

```
<$viz text="""

digraph {
	"RiskConcept" -> "SecurityConcept" [label="has subclass"]
	"OntoRiskConcept" -> "Waekness" [label="has subclass"]
	"RiskConcept" -> "Threat" [label="has subclass"]
	"RiskConcept" -> "Control" [label="has subclass"]
	"OntoRiskConcept" -> "Risk" [label="has subclass"]
	"OntoRiskConcept" -> "Asset" [label="has subclass"]
	"OntoRiskConcept" -> "Threat" [label="has subclass"]
	"RiskConcept" -> "Asset" [label="has subclass"]
	"OntoRiskConcept" -> "Control" [label="has subclass"]
	"RiskConcept" -> "Waekness" [label="has subclass"]
	"RiskConcept" -> "Role" [label="has subclass"]
	"owl:Thing" -> "OntoRiskConcept" [label="has subclass"]
	"OntoRiskConcept" -> "SecurityConcept" [label="has subclass"]
	"OntoRiskConcept" -> "Role" [label="has subclass"]
	"owl:Thing" -> "RiskConcept" [label="has subclass"]
	"RiskConcept" -> "Risk" [label="has subclass"]
}

"""/>
```
<$viz text="""

digraph {
	"RiskConcept" -> "SecurityConcept" [label="has subclass"]
	"OntoRiskConcept" -> "Waekness" [label="has subclass"]
	"RiskConcept" -> "Threat" [label="has subclass"]
	"RiskConcept" -> "Control" [label="has subclass"]
	"OntoRiskConcept" -> "Risk" [label="has subclass"]
	"OntoRiskConcept" -> "Asset" [label="has subclass"]
	"OntoRiskConcept" -> "Threat" [label="has subclass"]
	"RiskConcept" -> "Asset" [label="has subclass"]
	"OntoRiskConcept" -> "Control" [label="has subclass"]
	"RiskConcept" -> "Waekness" [label="has subclass"]
	"RiskConcept" -> "Role" [label="has subclass"]
	"owl:Thing" -> "OntoRiskConcept" [label="has subclass"]
	"OntoRiskConcept" -> "SecurityConcept" [label="has subclass"]
	"OntoRiskConcept" -> "Role" [label="has subclass"]
	"owl:Thing" -> "RiskConcept" [label="has subclass"]
	"RiskConcept" -> "Risk" [label="has subclass"]
}

"""/>

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

[[https://intertwingularityslicendice.neocities.org/IntertwingularitySlicenDice.html#Componentization]][[test outlining]]

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WORK in Progress, contains several markup issues
    <div class="paragraph">
      <p>Welcome to AsciiDocLIVE! = ISO 31000:2018</p>
    </div>
    <h1 id="_risk_management_guidelines" class="sect0">Risk management – Guidelines</h1>
    <div class="paragraph">
      <p>Source: <a href="https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en">https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en</a></p>
    </div>
    <div class="paragraph">
      <p>TOC</p>
    </div>
    <div class="paragraph">
      <p>Foreword 

<ul>
  <li>4 Introduction </li>
  <li>4 1 Scope </li>
  <li>6 2 Normative references </li>
<li>6 3 Terms and definitions</li>
<li>6 4 Principles</li>
<li> 8 5 Framework</li>
<li>10 5.1 General</li>

</ul>  


10 5.2 Leadership and commitment
        11 5.3 Integration 11 5.4 Design 12 5.4.1 Understanding the organization
        and its context 12 5.4.2 Articulating risk management commitment 12 5.4.3
        Assigning organizational roles, authorities, responsibilities and accountabilities
        13 5.4.4 Allocating resources 13 5.4.5 Establishing communication and consultation
        13 5.5 Implementation 13 5.6 Evaluation 14 5.7 Improvement 14 5.7.1 Adapting
        14 5.7.2 Continually improving 14 6 Process 14 6.1 General 14 6.2 Communication
        and consultation 15 6.3 Scope, context and criteria 16 6.3.1 General 16 6.3.2
        Defining the scope 16 6.3.3 External and internal context 16 6.3.4 Defining
        risk criteria 16 6.4 Risk assessment 17 6.4.1 General 17 6.4.2 Risk identification
        17 6.4.3 Risk analysis 17 6.4.4 Risk evaluation 18 6.5 Risk treatment 18
        6.5.1 General 18 6.5.2 Selection of risk treatment options 19 6.5.3 Preparing
        and implementing risk treatment plans 19 6.6 Monitoring and review 20 6.7
        Recording and reporting </p>
    </div>
    <div class="sect1">
      <h2 id="_foreword">Foreword</h2>
      <div class="sectionbody">
        <div class="paragraph">
          <p>ISO (the International Organization for Standardization) is a worldwide
            federation of national standards bodies (ISO member bodies). The work
            of preparing International Standards is normally carried out through
            ISO technical committees. Each member body interested in a subject for
            which a technical committee has been established has the right to be
            represented on that committee. International organizations, governmental
            and non-governmental, in liaison with ISO, also take part in the work.
            ISO collaborates closely with the International Electrotechnical Commission
            (IEC) on all matters of electrotechnical standardization.<br> The procedures
            used to develop this document and those intended for its further maintenance
            are described in the ISO/IEC Directives, Part 1. In particular the different
            approval criteria needed for the different types of ISO documents should
            be noted. This document was drafted in accordance with the editorial
            rules of the ISO/IEC Directives, Part 2 (see <a href="https://www.iso.org/directives-and-policies.html">www.iso.org/directives</a>).<br>            Attention is drawn to the possibility that some of the elements of this
            document may be the subject of patent rights. ISO shall not be held responsible
            for identifying any or all such patent rights. Details of any patent
            rights identified during the development of the document will be in the
            Introduction and/or on the ISO list of patent declarations received (see
            <a href="https://www.iso.org/patents">www.iso.org/patents</a>).<br> Any
            trade name used in this document is information given for the convenience
            of users and does not constitute an endorsement.<br> For an explanation
            on the voluntary nature of standards, the meaning of ISO specific terms
            and expressions related to conformity assessment, as well as information
            about ISO’s adherence to the World Trade Organization (WTO) principles
            in the Technical Barriers to Trade (TBT) see the following URL: <a href="https://www.iso.org/iso/foreword.html">www.iso.org/iso/foreword.html</a>.<br>            This document was prepared by Technical Committee ISO/TC 262, <em>Risk management</em>.<br>            This second edition cancels and replaces the first edition (ISO 31000:2009)
            which has been technically revised.<br> The main changes compared to
            the previous edition are as follows:</p>
        </div>
        <div class="ulist">
          <ul>
            <li>
              <p>review of the principles of risk management, which are the key criteria
                for its success</p>
            </li>
            <li>
              <p>highlighting of the leadership by top management and the integration
                of risk management, starting with the governance of the organization;</p>
            </li>
            <li>
              <p>greater emphasis on the iterative nature of risk management, noting
                that new experiences, knowledge and analysis can lead to a revision
                of process elements, actions and controls at each stage of the process;</p>
            </li>
            <li>
              <p>streamlining of the content with greater focus on sustaining an open
                systems model to fit multiple needs and contexts. == Introduction</p>
            </li>
          </ul>
        </div>
        <div class="paragraph">
          <p>This document is for use by people who create and protect value in organizations
            by managing risks, making decisions, setting and achieving objectives
            and improving performance.<br> Organizations of all types and sizes face
            external and internal factors and influences that make it uncertain whether
            they will achieve their objectives.<br> Managing risk is iterative and
            assists organizations in setting strategy, achieving objectives and making
            informed decisions.<br> Managing risk is part of governance and leadership,
            and is fundamental to how the organization is managed at all levels.
            It contributes to the improvement of management systems.<br> Managing
            risk is part of all activities associated with an organization and includes
            interaction with stakeholders.<br> Managing risk considers the external
            and internal context of the organization, including human behaviour and
            cultural factors.<br> Managing risk is based on the principles, framework
            and process outlined in this document, as illustrated in <a href="https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:fig:1">Figure 1</a>.
            These components might already exist in full or in part within the organization,
            however, they might need to be adapted or improved so that managing risk
            is efficient, effective and consistent.<br>
            <strong>Figure 1 — Principles, framework and process</strong></p>
        </div>
        <div class="imageblock">
          <div class="content">
            
[img[image1.png]]


          </div>
        </div>
      </div>
    </div>
    <div class="sect1">
      <h2 id="_1_scope">1 Scope</h2>
      <div class="sectionbody">
        <div class="paragraph">
          <p>This document provides guidelines on managing risk faced by organizations.
            The application of these guidelines can be customized to any organization
            and its context.<br> This document provides a common approach to managing
            any type of risk and is not industry or sector specific.<br> This document
            can be used throughout the life of the organization and can be applied
            to any activity, including decision-making at all levels.<br> #bookmark=id.2h27hrjhtsun[TOC]
          </p>
        </div>
      </div>
    </div>
    <div class="sect1">
      <h2 id="_2_normative_references">2 Normative references</h2>
      <div class="sectionbody">
        <div class="paragraph">
          <p>There are no normative references in this document.<br> #bookmark=id.2h27hrjhtsun[TOC]
          </p>
        </div>
      </div>
    </div>
    <div class="sect1">
      <h2 id="_3_terms_and_definitions">3 Terms and definitions</h2>
      <div class="sectionbody">
        <div class="paragraph">
          <p>For the purposes of this document, the following terms and definitions
            apply.<br> ISO and IEC maintain terminological databases for use in standardization
            at the following addresses:</p>
        </div>
        <div class="olist arabic">
          <ol class="arabic">
            <li>

              <p>— ISO Online browsing platform: available at <a href="http://www.iso.org/obp">http://www.iso.org/obp</a></p>
            </li>
            <li>
              <p>— IEC Electropedia: available at <a href="http://www.electropedia.org/">http://www.electropedia.org</a>
                <strong>3.1</strong><br>
                <strong>risk</strong><br> effect of uncertainty on objectives<br>                Note 1 to entry: An effect is a deviation from the expected. It can
                be positive, negative or both, and can address, create or result
                in opportunities and threats.<br> Note 2 to entry: Objectives can
                have different aspects and categories, and can be applied at different
                levels.<br> Note 3 to entry: Risk is usually expressed in terms of
                <strong>risk sources </strong>[(3.4)],
                potential <strong>events </strong>[(3.5)],
                their <strong>consequences </strong>[(3.6)]
                and their <strong>likelihood </strong>[(3.7)].<br>                *3.2
                </strong><br>
                <strong>risk management</strong><br> coordinated activities to direct
                and control an organization with regard to <a href="https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:term:3.1"><strong>risk </a>*https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:term:3.1[(3.1)]<br>                *3.3
                </strong><br>
                <strong>stakeholder</strong><br> person or organization that can
                affect, be affected by, or perceive themselves to be affected by
                a decision or activity<br> Note 1 to entry: The term “interested
                party” can be used as an alternative to “stakeholder”.<br>
                <strong>3.4</strong><br>
                <strong>risk source</strong><br> element which alone or in combination
                has the potential to give rise to <a href="https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:term:3.1"><strong>risk </a>*https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:term:3.1[(3.1)]<br>                *3.5
                </strong><br>
                <strong>event</strong><br> occurrence or change of a particular set
                of circumstances<br> Note 1 to entry: An event can have one or more
                occurrences, and can have several causes and several <a href="https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:term:3.6"><strong>consequences </a>*https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:term:3.6[(3.6)].<br>                Note 2 to entry: An event can also be something that is expected
                which does not happen, or something that is not expected which does
                happen.<br> Note 3 to entry: An event can be a risk source.<br> *3.6
                </strong><br>
                <strong>consequence</strong><br> outcome of an <a href="https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:term:3.5"><strong>event </a>*https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:term:3.5[(3.5)]
                affecting objectives<br> Note 1 to entry: A consequence can be certain
                or uncertain and can have positive or negative direct or indirect
                effects on objectives.<br> Note 2 to entry: Consequences can be expressed
                qualitatively or quantitatively.<br> Note 3 to entry: Any consequence
                can escalate through cascading and cumulative effects.<br> *3.7
                </strong><br>
                <strong>likelihood</strong><br> chance of something happening<br>                Note 1 to entry: In <a href="https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:term:3.2"><strong>risk management </a>*https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:term:3.2[(3.2)]
                terminology, the word “likelihood” is used to refer to the chance
                of something happening, whether defined, measured or determined objectively
                or subjectively, qualitatively or quantitatively, and described using
                general terms or mathematically (such as a probability or a frequency
                over a given time period).<br> Note 2 to entry: The English term
                “likelihood” does not have a direct equivalent in some languages;
                instead, the equivalent of the term “probability” is often used.
                However, in English, “probability” is often narrowly interpreted
                as a mathematical term. Therefore, in risk management terminology,
                “likelihood” is used with the intent that it should have the same
                broad interpretation as the term “probability” has in many languages
                other than English.<br> *3.8
                </strong><br>
                <strong>control</strong><br> measure that maintains and/or modifies
                <a href="https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:term:3.1">*risk </a>*https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:term:3.1[(3.1)]<br>                Note 1 to entry: Controls include, but are not limited to, any process,
                policy, device, practice, or other conditions and/or actions which
                maintain and/or modify risk.<br> Note 2 to entry: Controls may not
                always exert the intended or assumed modifying effect.<br> #bookmark=id.2h27hrjhtsun[TOC]
              </p>
            </li>
          </ol>
        </div>
      </div>
    </div>
    <div class="sect1">
      <h2 id="_4_principles">4 Principles</h2>
      <div class="sectionbody">
        <div class="paragraph">
          <p>The purpose of risk management is the creation and protection of value.
            It improves performance, encourages innovation and supports the achievement
            of objectives.<br> The principles outlined in <a href="https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:fig:2">Figure 2</a>            provide guidance on the characteristics of effective and efficient risk
            management, communicating its value and explaining its intention and
            purpose. The principles are the foundation for managing risk and should
            be considered when establishing the organization’s risk management framework
            and processes. These principles should enable an organization to manage
            the effects of uncertainty on its objectives.<br>
            <strong>Figure 2 — Principles</strong></p>
        </div>
        <div class="imageblock">
          <div class="content">

[img[image2.png]]

 
          </div>
        </div>
        <div class="paragraph">
          <p>Effective risk management requires the elements of <a href="https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:fig:2">Figure 2</a>            and can be further explained as follows.</p>
        </div>
        <div class="olist arabic">
          <ol class="arabic">
            <li>
              <p>Integrated Risk management is an integral part of all organizational
                activities.</p>
            </li>
            <li>
              <p>Structured and comprehensive A structured and comprehensive approach
                to risk management contributes to consistent and comparable results.</p>
            </li>
            <li>
              <p>Customized The risk management framework and process are customized
                and proportionate to the organization’s external and internal context
                related to its objectives.</p>
            </li>
            <li>
              <p>Inclusive Appropriate and timely involvement of stakeholders enables
                their knowledge, views and perceptions to be considered. This results
                in improved awareness an informed risk management.</p>
            </li>
            <li>
              <p>Dynamic Risks can emerge, change or disappear as an organization’s
                external and internal context changes. Risk management anticipates,
                detects, acknowledges and responds to those changes and events in
                an appropriate and timely manner.</p>
            </li>
            <li>
              <p>Best available information The inputs to risk management are based
                on historical and current information, as well as on future expectations.
                Risk management explicitly takes into account any limitations and
                uncertainties associated with such information and expectations.
                Information should be timely, clear and available to relevant stakeholders.</p>
            </li>
            <li>
              <p>Human and cultural factors Human behaviour and culture significantly
                influence all aspects of risk management at each level and stage.</p>
            </li>
            <li>
              <p>Continual improvement Risk management is continually improved through
                learning and experience.</p>
            </li>
          </ol>
        </div>
      </div>
    </div>
    <div class="sect1">
      <h2 id="_5_framework">5 Framework</h2>
      <div class="sectionbody">
        <div class="sect2">
          <h3 id="_5_1_general">5.1 General</h3>
          <div class="paragraph">
            <p>The purpose of the risk management framework is to assist the organization
              in integrating risk management into significant activities and functions.
              The effectiveness of risk management will depend on its integration
              into the governance of the organization, including decision-making.
              This requires support from stakeholders, particularly top management.<br>              Framework development encompasses integrating, designing, implementing,
              evaluating and improving risk management across the organization.
              <a
                href="https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:fig:3">Figure 3</a> illustrates the components of a framework.<br>
                <strong>Figure 3 — Framework</strong></p>
          </div>
          <div class="imageblock">
            <div class="content">

[img[image4.png]]

            </div>
          </div>
          <div class="paragraph">
            <p>The organization should evaluate its existing risk management practices
              and processes, evaluate any gaps and address those gaps within the
              framework.<br> The components of the framework and the way in which
              they work together should be customized to the needs of the organization.</p>
          </div>
        </div>
        <div class="sect2">
          <h3 id="_5_2_leadership_and_commitment">5.2 Leadership and commitment</h3>
          <div class="paragraph">
            <p>Top management and oversight bodies, where applicable, should ensure
              that risk management is integrated into all organizational activities
              and should demonstrate leadership and commitment by:</p>
          </div>
          <div class="ulist">
            <ul>
              <li>
                <p>customizing and implementing all components of the framework;</p>
              </li>
              <li>
                <p>issuing a statement or policy that establishes a risk management
                  approach, plan or course of action;</p>
              </li>
              <li>
                <p>ensuring that the necessary resources are allocated to managing risk;</p>
              </li>
              <li>
                <p>assigning authority, responsibility and accountability at appropriate
                  levels within the organization. This will help the organization
                  to:</p>
              </li>
              <li>
                <p>align risk management with its objectives, strategy and culture;</p>
              </li>
              <li>
                <p>recognize and address all obligations, as well as its voluntary commitments;</p>
              </li>
              <li>
                <p>establish the amount and type of risk that may or may not be taken
                  to guide the development of risk criteria, ensuring that they are
                  communicated to the organization and its stakeholders;</p>
              </li>
              <li>
                <p>communicate the value of risk management to the organization and
                  its stakeholders;</p>
              </li>
              <li>
                <p>promote systematic monitoring of risks;</p>
              </li>
              <li>
                <p>ensure that the risk management framework remains appropriate to
                  the context of the organization. Top management is accountable
                  for managing risk while oversight bodies are accountable for overseeing
                  risk management. Oversight bodies are often expected or required
                  to:</p>
              </li>
              <li>
                <p>ensure that risks are adequately considered when setting the organization’s
                  objectives;</p>
              </li>
              <li>
                <p>understand the risks facing the organization in pursuit of its objectives;</p>
              </li>
              <li>
                <p>ensure that systems to manage such risks are implemented and operating
                  effectively;</p>
              </li>
              <li>
                <p>ensure that such risks are appropriate in the context of the organization’s
                  objectives;</p>
              </li>
              <li>
                <p>ensure that information about such risks and their management is
                  properly communicated. === 5.3 Integration</p>
              </li>
            </ul>
          </div>
          <div class="paragraph">
            <p>Integrating risk management relies on an understanding of organizational
              structures and context. Structures differ depending on the organization’s
              purpose, goals and complexity. Risk is managed in every part of the
              organization’s structure. Everyone in an organization has responsibility
              for managing risk.<br> Governance guides the course of the organization,
              its external and internal relationships, and the rules, processes and
              practices needed to achieve its purpose. Management structures translate
              governance dPLirection into the strategy and associated objectives
              required to achieve desired levels of sustainable performance and long-term
              viability. Determining risk management accountability and oversight
              roles within an organization are integral parts of the organization’s
              governance.<br> Integrating risk management into an organization is
              a dynamic and iterative process, and should be customized to the organization’s
              needs and culture. Risk management should be a part of, and not separate
              from, the organizational purpose, governance, leadership and commitment,
              strategy, objectives and operations.</p>
          </div>
        </div>
        <div class="sect2">
          <h3 id="_5_4_design">5.4 Design</h3>
          <div class="sect3">
            <h4 id="_5_4_1_understanding_the_organization_and_its_context">5.4.1 Understanding the organization and its context</h4>
            <div class="paragraph">
              <p>When designing the framework for managing risk, the organization should
                examine and understand its external and internal context.<br> Examining
                the organization’s external context may include, but is not limited
                to:<br> the social, cultural, political, legal, regulatory, financial,
                technological, economic and environmental factors, whether international,
                national, regional or local;</p>
            </div>
            <div class="ulist">
              <ul>
                <li>
                  <p>key drivers and trends affecting the objectives of the organization;</p>
                </li>
                <li>
                  <p>external stakeholders’ relationships, perceptions, values, needs
                    and expectations;</p>
                </li>
                <li>
                  <p>contractual relationships and commitments;</p>
                </li>
                <li>
                  <p>the complexity of networks and dependencies. Examining the organization’s
                    internal context may include, but is not limited to:</p>
                  <div class="olist arabic">
                    <ol class="arabic">
                      <li>
                        <p>— vision, mission and values;</p>
                      </li>
                      <li>
                        <p>— governance, organizational structure, roles and accountabilities;</p>
                      </li>
                      <li>
                        <p>— strategy, objectives and policies;</p>
                      </li>
                      <li>
                        <p>— the organization’s culture;</p>
                      </li>
                      <li>
                        <p>— standards, guidelines and models adopted by the organization;</p>
                      </li>
                      <li>
                        <p>— capabilities, understood in terms of resources and knowledge
                          (e.g. capital, time, people, intellectual property, processes,
                          systems and technologies);</p>
                      </li>
                      <li>
                        <p>— data, information systems and information flows;</p>
                      </li>
                      <li>
                        <p>— relationships with internal stakeholders, taking into account
                          their perceptions and values;</p>
                      </li>
                      <li>
                        <p>— contractual relationships and commitments;</p>
                      </li>
                      <li>
                        <p>— interdependencies and interconnections. ==== 5.4.2 Articulating
                          risk management commitment</p>
                      </li>
                    </ol>
                  </div>
                </li>
              </ul>
            </div>
            <div class="paragraph">
              <p>Top management and oversight bodies, where applicable, should demonstrate
                and articulate their continual commitment to risk management through
                a policy, a statement or other forms that clearly convey an organization’s
                objectives and commitment to risk management. The commitment should
                include, but is not limited to:</p>
            </div>
            <div class="olist arabic">
              <ol class="arabic">
                <li>
                  <p>— the organization’s purpose for managing risk and links to its
                    objectives and other policies;</p>
                </li>
                <li>
                  <p>— reinforcing the need to integrate risk management into the overall
                    culture of the organization;</p>
                </li>
                <li>
                  <p>— leading the integration of risk management into core business
                    activities and decision-making;</p>
                </li>
                <li>
                  <p>— authorities, responsibilities and accountabilities;</p>
                </li>
                <li>
                  <p>— making the necessary resources available;</p>
                </li>
                <li>
                  <p>— the way in which conflicting objectives are dealt with;</p>
                </li>
                <li>
                  <p>— measurement and reporting within the organization’s performance
                    indicators;</p>
                </li>
                <li>
                  <p>— review and improvement. The risk management commitment should
                    be communicated within an organization and to stakeholders, as
                    appropriate.</p>
                </li>
              </ol>
            </div>
          </div>
          <div class="sect3">
            <h4 id="_5_4_3_assigning_organizational_roles_authorities_responsibilities_and_accountabilities">5.4.3 Assigning organizational roles, authorities, responsibilities and
              accountabilities</h4>
            <div class="paragraph">
              <p>Top management and oversight bodies, where applicable, should ensure
                that the authorities, responsibilities and accountabilities for relevant
                roles with respect to risk management are assigned and communicated
                at all levels of the organization, and should:</p>
            </div>
            <div class="ulist">
              <ul>
                <li>
                  <p>emphasize that risk management is a core responsibility;</p>
                </li>
                <li>
                  <p>identify individuals who have the accountability and authority
                    to manage risk (risk owners). ==== 5.4.4 Allocating resources</p>
                </li>
              </ul>
            </div>
            <div class="paragraph">
              <p>Top management and oversight bodies, where applicable, should ensure
                allocation of appropriate resources for risk management, which can
                include, but are not limited to:</p>
            </div>
            <div class="ulist">
              <ul>
                <li>
                  <p>people, skills, experience and competence;</p>
                </li>
                <li>
                  <p>the organization’s processes, methods and tools to be used for
                    managing risk;</p>
                </li>
                <li>
                  <p>documented processes and procedures;</p>
                </li>
                <li>
                  <p>information and knowledge management systems;</p>
                </li>
                <li>
                  <p>professional development and training needs.</p>
                </li>
              </ul>
            </div>
            <div class="paragraph">
              <p>The organization should consider the capabilities of, and constraints
                on, existing resources.</p>
            </div>
          </div>
          <div class="sect3">
            <h4 id="_5_4_5_establishing_communication_and_consultation">5.4.5 Establishing communication and consultation</h4>
            <div class="paragraph">
              <p>The organization should establish an approved approach to communication
                and consultation in order to support the framework and facilitate
                the effective application of risk management. Communication involves
                sharing information with targeted audiences. Consultation also involves
                participants providing feedback with the expectation that it will
                contribute to and shape decisions or other activities. Communication
                and consultation methods and content should reflect the expectations
                of stakeholders, where relevant.<br> Communication and consultation
                should be timely and ensure that relevant information is collected,
                collated, synthesised and shared, as appropriate, and that feedback
                is provided and improvements are made.</p>
            </div>
          </div>
        </div>
        <div class="sect2">
          <h3 id="_5_5_implementation">5.5 Implementation</h3>
          <div class="paragraph">
            <p>The organization should implement the risk management framework by:</p>
          </div>
          <div class="ulist">
            <ul>
              <li>
                <p>developing an appropriate plan including time and resources;</p>
              </li>
              <li>
                <p>identifying where, when and how different types of decisions are
                  made across the organization, and by whom;</p>
              </li>
              <li>
                <p>modifying the applicable decision-making processes where necessary;</p>
              </li>
              <li>
                <p>ensuring that the organization’s arrangements for managing risk are
                  clearly understood and practised. Successful implementation of
                  the framework requires the engagement and awareness of stakeholders.
                  This enables organizations to explicitly address uncertainty in
                  decision-making, while also ensuring that any new or subsequent
                  uncertainty can be taken into account as it arises.<br> Properly
                  designed and implemented, the risk management framework will ensure
                  that the risk management process is a part of all activities throughout
                  the organization, including decision-making, and that changes in
                  external and internal contexts will be adequately captured.</p>
              </li>
            </ul>
          </div>
        </div>
        <div class="sect2">
          <h3 id="_5_6_evaluation">5.6 Evaluation</h3>
          <div class="paragraph">
            <p>In order to evaluate the effectiveness of the risk management framework,
              the organization should:</p>
          </div>
          <div class="ulist">
            <ul>
              <li>
                <p>periodically measure risk management framework performance against
                  its purpose, implementation plans, indicators and expected behaviour;</p>
              </li>
              <li>
                <p>determine whether it remains suitable to support achieving the objectives
                  of the organization. === 5.7 Improvement</p>
              </li>
            </ul>
          </div>
          <div class="sect3">
            <h4 id="_5_7_1_adapting">5.7.1 Adapting</h4>
            <div class="paragraph">
              <p>The organization should continually monitor and adapt the risk management
                framework to address external and internal changes. In doing so,
                the organization can improve its value.</p>
            </div>
          </div>
          <div class="sect3">
            <h4 id="_5_7_2_continually_improving">5.7.2 Continually improving</h4>
            <div class="paragraph">
              <p>The organization should continually improve the suitability, adequacy
                and effectiveness of the risk management framework and the way the
                risk management process is integrated.<br> As relevant gaps or improvement
                opportunities are identified, the organization should develop plans
                and tasks and assign them to those accountable for implementation.
                Once implemented, these improvements should contribute to the enhancement
                of risk management.<br> #bookmark=id.2h27hrjhtsun[TOC]
              </p>
            </div>
          </div>
        </div>
      </div>
    </div>
    <div class="sect1">
      <h2 id="_6_process">6 Process</h2>
      <div class="sectionbody">
        <div class="sect2">
          <h3 id="_6_1_general">6.1 General</h3>
          <div class="paragraph">
            <p>The risk management process involves the systematic application of policies,
              procedures and practices to the activities of communicating and consulting,
              establishing the context and assessing, treating, monitoring, reviewing,
              recording and reporting risk. This process is illustrated in <a href="https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:fig:4">Figure 4</a>.<br>
              <strong>Figure 4 — Process</strong></p>
          </div>
          <div class="imageblock">
            <div class="content">
             
            </div>
          </div>
          <div class="paragraph">
            <p>The risk management process should be an integral part of management
              and decision-making and integrated into the structure, operations and
              processes of the organization. It can be applied at strategic, operational,
              programme or project levels.<br> There can be many applications of
              the risk management process within an organization, customized to achieve
              objectives and to suit the external and internal context in which they
              are applied.<br> The dynamic and variable nature of human behaviour
              and culture should be considered throughout the risk management process.<br>              Although the risk management process is often presented as sequential,
              in practice it is iterative.</p>
          </div>
        </div>
        <div class="sect2">
          <h3 id="_6_2_communication_and_consultation">6.2 Communication and consultation</h3>
          <div class="paragraph">
            <p>The purpose of communication and consultation is to assist relevant stakeholders
              in understanding risk, the basis on which decisions are made and the
              reasons why particular actions are required. Communication seeks to
              promote awareness and understanding of risk, whereas consultation involves
              obtaining feedback and information to support decision-making. Close
              coordination between the two should facilitate factual, timely, relevant,
              accurate and understandable exchange of information, taking into account
              the confidentiality and integrity of information as well as the privacy
              rights of individuals.<br> Communication and consultation with appropriate
              external and internal stakeholders should take place within and throughout
              all steps of the risk management process.<br> Communication and consultation
              aims to:</p>
          </div>
          <div class="ulist">
            <ul>
              <li>
                <p>bring different areas of expertise together for each step of the
                  risk management process;</p>
              </li>
              <li>
                <p>ensure that different views are appropriately considered when defining
                  risk criteria and when evaluating risks;</p>
              </li>
              <li>
                <p>provide sufficient information to facilitate risk oversight and decision-making;</p>
              </li>
              <li>
                <p>build a sense of inclusiveness and ownership among those affected
                  by risk. === 6.3 Scope, context and criteria</p>
              </li>
            </ul>
          </div>
          <div class="sect3">
            <h4 id="_6_3_1_general">6.3.1 General</h4>
            <div class="paragraph">
              <p>The purpose of establishing the scope, the context and criteria is
                to customize the risk management process, enabling effective risk
                assessment and appropriate risk treatment. Scope, context and criteria
                involve defining the scope of the process, and understanding the
                external and internal context.</p>
            </div>
          </div>
          <div class="sect3">
            <h4 id="_6_3_2_defining_the_scope">6.3.2 Defining the scope</h4>
            <div class="paragraph">
              <p>The organization should define the scope of its risk management activities.<br>                As the risk management process may be applied at different levels
                (e.g. strategic, operational, programme, project, or other activities),
                it is important to be clear about the scope under consideration,
                the relevant objectives to be considered and their alignment with
                organizational objectives.<br> When planning the approach, considerations
                include:</p>
            </div>
            <div class="ulist">
              <ul>
                <li>
                  <p>objectives and decisions that need to be made;</p>
                </li>
                <li>
                  <p>outcomes expected from the steps to be taken in the process;</p>
                </li>
                <li>
                  <p>time, location, specific inclusions and exclusions;</p>
                </li>
                <li>
                  <p>appropriate risk assessment tools and techniques;</p>
                </li>
                <li>
                  <p>resources required, responsibilities and records to be kept;</p>
                </li>
                <li>
                  <p>relationships with other projects, processes and activities. ====
                    6.3.3 External and internal context</p>
                </li>
              </ul>
            </div>
            <div class="paragraph">
              <p>The external and internal context is the environment in which the organization
                seeks to define and achieve its objectives.<br> The context of the
                risk management process should be established from the understanding
                of the external and internal environment in which the organization
                operates and should reflect the specific environment of the activity
                to which the risk management process is to be applied.</p>
            </div>
            <div class="ulist">
              <ul>
                <li>
                  <p>Understanding the context is important because:</p>
                </li>
                <li>
                  <p>risk management takes place in the context of the objectives and
                    activities of the organization;</p>
                </li>
                <li>
                  <p>organizational factors can be a source of risk;</p>
                </li>
                <li>
                  <p>the purpose and scope of the risk management process may be interrelated
                    with the objectives of the organization as a whole. The organization
                    should establish the external and internal context of the risk
                    management process by considering the factors mentioned in
                    <a
                      href="https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en:sec:5.4.1">5.4.1</a>.</p>
                </li>
              </ul>
            </div>
          </div>
          <div class="sect3">
            <h4 id="_6_3_4_defining_risk_criteria">6.3.4 Defining risk criteria</h4>
            <div class="paragraph">
              <p>The organization should specify the amount and type of risk that it
                may or may not take, relative to objectives. It should also define
                criteria to evaluate the significance of risk and to support decision-making
                processes. Risk criteria should be aligned with the risk management
                framework and customized to the specific purpose and scope of the
                activity under consideration. Risk criteria should reflect the organization’s
                values, objectives and resources and be consistent with policies
                and statements about risk management. The criteria should be defined
                taking into consideration the organization’s obligations and the
                views of stakeholders.<br> While risk criteria should be established
                at the beginning of the risk assessment process, they are dynamic
                and should be continually reviewed and amended, if necessary.<br>                To set risk criteria, the following should be considered:</p>
            </div>
            <div class="ulist">
              <ul>
                <li>
                  <p>the nature and type of uncertainties that can affect outcomes and
                    objectives (both tangible and intangible);</p>
                </li>
                <li>
                  <p>how consequences (both positive and negative) and likelihood will
                    be defined and measured;</p>
                </li>
                <li>
                  <p>time-related factors;</p>
                </li>
                <li>
                  <p>consistency in the use of measurements;</p>
                </li>
                <li>
                  <p>how the level of risk is to be determined;</p>
                </li>
                <li>
                  <p>how combinations and sequences of multiple risks will be taken
                    into account;</p>
                </li>
                <li>
                  <p>the organization’s capacity. === 6.4 Risk assessment</p>
                </li>
              </ul>
            </div>
          </div>
          <div class="sect3">
            <h4 id="_6_4_1_general">6.4.1 General</h4>
            <div class="paragraph">
              <p>Risk assessment is the overall process of risk identification, risk
                analysis and risk evaluation.<br> Risk assessment should be conducted
                systematically, iteratively and collaboratively, drawing on the knowledge
                and views of stakeholders. It should use the best available information,
                supplemented by further enquiry as necessary.</p>
            </div>
          </div>
          <div class="sect3">
            <h4 id="_6_4_2_risk_identification">6.4.2 Risk identification</h4>
            <div class="paragraph">
              <p>The purpose of risk identification is to find, recognize and describe
                risks that might help or prevent an organization achieving its objectives.
                Relevant, appropriate and up-to-date information is important in
                identifying risks.<br> The organization can use a range of techniques
                for identifying uncertainties that may affect one or more objectives.
                The following factors, and the relationship between these factors,
                should be considered:</p>
            </div>
            <div class="ulist">
              <ul>
                <li>
                  <p>tangible and intangible sources of risk;</p>
                </li>
                <li>
                  <p>causes and events;</p>
                </li>
                <li>
                  <p>threats and opportunities;</p>
                </li>
                <li>
                  <p>vulnerabilities and capabilities;</p>
                </li>
                <li>
                  <p>changes in the external and internal context;</p>
                </li>
                <li>
                  <p>indicators of emerging risks;</p>
                </li>
                <li>
                  <p>the nature and value of assets and resources;</p>
                </li>
                <li>
                  <p>consequences and their impact on objectives;</p>
                </li>
                <li>
                  <p>limitations of knowledge and reliability of information;</p>
                </li>
                <li>
                  <p>time-related factors;</p>
                </li>
                <li>
                  <p>biases, assumptions and beliefs of those involved. The organization
                    should identify risks, whether or not their sources are under
                    its control. Consideration should be given that there may be
                    more than one type of outcome, which may result in a variety
                    of tangible or intangible consequences.</p>
                </li>
              </ul>
            </div>
          </div>
          <div class="sect3">
            <h4 id="_6_4_3_risk_analysis">6.4.3 Risk analysis</h4>
            <div class="paragraph">
              <p>The purpose of risk analysis is to comprehend the nature of risk and
                its characteristics including, where appropriate, the level of risk.
                Risk analysis involves a detailed consideration of uncertainties,
                risk sources, consequences, likelihood, events, scenarios, controls
                and their effectiveness. An event can have multiple causes and consequences
                and can affect multiple objectives.<br> Risk analysis can be undertaken
                with varying degrees of detail and complexity, depending on the purpose
                of the analysis, the availability and reliability of information,
                and the resources available. Analysis techniques can be qualitative,
                quantitative or a combination of these, depending on the circumstances
                and intended use.<br> Risk analysis should consider factors such
                as:</p>
            </div>
            <div class="ulist">
              <ul>
                <li>
                  <p>the likelihood of events and consequences;</p>
                </li>
                <li>
                  <p>the nature and magnitude of consequences;</p>
                </li>
                <li>
                  <p>complexity and connectivity;</p>
                </li>
                <li>
                  <p>time-related factors and volatility;</p>
                </li>
                <li>
                  <p>the effectiveness of existing controls;</p>
                </li>
                <li>
                  <p>sensitivity and confidence levels. The risk analysis may be influenced
                    by any divergence of opinions, biases, perceptions of risk and
                    judgements. Additional influences are the quality of the information
                    used, the assumptions and exclusions made, any limitations of
                    the techniques and how they are executed. These influences should
                    be considered, documented and communicated to decision makers.<br>                    Highly uncertain events can be difficult to quantify. This can
                    be an issue when analysing events with severe consequences. In
                    such cases, using a combination of techniques generally provides
                    greater insight.<br> Risk analysis provides an input to risk
                    evaluation, to decisions on whether risk needs to be treated
                    and how, and on the most appropriate risk treatment strategy
                    and methods. The results provide insight for decisions, where
                    choices are being made, and the options involve different types
                    and levels of risk.</p>
                </li>
              </ul>
            </div>
          </div>
          <div class="sect3">
            <h4 id="_6_4_4_risk_evaluation">6.4.4 Risk evaluation</h4>
            <div class="paragraph">
              <p>The purpose of risk evaluation is to support decisions. Risk evaluation
                involves comparing the results of the risk analysis with the established
                risk criteria to determine where additional action is required. This
                can lead to a decision to:</p>
            </div>
            <div class="ulist">
              <ul>
                <li>
                  <p>do nothing further;</p>
                </li>
                <li>
                  <p>consider risk treatment options;</p>
                </li>
                <li>
                  <p>undertake further analysis to better understand the risk;</p>
                </li>
                <li>
                  <p>maintain existing controls;</p>
                </li>
                <li>
                  <p>reconsider objectives. Decisions should take account of the wider
                    context and the actual and perceived consequences to external
                    and internal stakeholders.<br> The outcome of risk evaluation
                    should be recorded, communicated and then validated at appropriate
                    levels of the organization.</p>
                </li>
              </ul>
            </div>
          </div>
        </div>
        <div class="sect2">
          <h3 id="_6_5_risk_treatment">6.5 Risk treatment</h3>
          <div class="sect3">
            <h4 id="_6_5_1_general">6.5.1 General</h4>
            <div class="paragraph">
              <p>The purpose of risk treatment is to select and implement options for
                addressing risk.<br> Risk treatment involves an iterative process
                of:</p>
            </div>
            <div class="ulist">
              <ul>
                <li>
                  <p>formulating and selecting risk treatment options;</p>
                </li>
                <li>
                  <p>planning and implementing risk treatment;</p>
                </li>
                <li>
                  <p>assessing the effectiveness of that treatment;</p>
                </li>
                <li>
                  <p>deciding whether the remaining risk is acceptable;</p>
                </li>
                <li>
                  <p>if not acceptable, taking further treatment. ==== 6.5.2 Selection
                    of risk treatment options</p>
                </li>
              </ul>
            </div>
            <div class="paragraph">
              <p>Selecting the most appropriate risk treatment option(s) involves balancing
                the potential benefits derived in relation to the achievement of
                the objectives against costs, effort or disadvantages of implementation.<br>                Risk treatment options are not necessarily mutually exclusive or
                appropriate in all circumstances. Options for treating risk may involve
                one or more of the following:</p>
            </div>
            <div class="ulist">
              <ul>
                <li>
                  <p>avoiding the risk by deciding not to start or continue with the
                    activity that gives rise to the risk;</p>
                </li>
                <li>
                  <p>taking or increasing the risk in order to pursue an opportunity;</p>
                </li>
                <li>
                  <p>removing the risk source;</p>
                </li>
                <li>
                  <p>changing the likelihood;</p>
                </li>
                <li>
                  <p>changing the consequences;</p>
                </li>
                <li>
                  <p>sharing the risk (e.g. through contracts, buying insurance);</p>
                </li>
                <li>
                  <p>retaining the risk by informed decision. Justification for risk
                    treatment is broader than solely economic considerations and
                    should take into account all of the organization’s obligations,
                    voluntary commitments and stakeholder views. The selection of
                    risk treatment options should be made in accordance with the
                    organization’s objectives, risk criteria and available resources.<br>                    When selecting risk treatment options, the organization should
                    consider the values, perceptions and potential involvement of
                    stakeholders and the most appropriate ways to communicate and
                    consult with them. Though equally effective, some risk treatments
                    can be more acceptable to some stakeholders than to others.<br>                    Risk treatments, even if carefully designed and implemented might
                    not produce the expected outcomes and could produce unintended
                    consequences. Monitoring and review need to be an integral part
                    of the risk treatment implementation to give assurance that the
                    different forms of treatment become and remain effective.<br>                    Risk treatment can also introduce new risks that need to be managed.<br>                    If there are no treatment options available or if treatment options
                    do not sufficiently modify the risk, the risk should be recorded
                    and kept under ongoing review.<br> Decision makers and other
                    stakeholders should be aware of the nature and extent of the
                    remaining risk after risk treatment. The remaining risk should
                    be documented and subjected to monitoring, review and, where
                    appropriate, further treatment.</p>
                </li>
              </ul>
            </div>
          </div>
          <div class="sect3">
            <h4 id="_6_5_3_preparing_and_implementing_risk_treatment_plans">6.5.3 Preparing and implementing risk treatment plans</h4>
            <div class="paragraph">
              <p>The purpose of risk treatment plans is to specify how the chosen treatment
                options will be implemented, so that arrangements are understood
                by those involved, and progress against the plan can be monitored.
                The treatment plan should clearly identify the order in which risk
                treatment should be implemented.<br> Treatment plans should be integrated
                into the management plans and processes of the organization, in consultation
                with appropriate stakeholders.<br> The information provided in the
                treatment plan should include:</p>
            </div>
            <div class="olist arabic">
              <ol class="arabic">
                <li>
                  <p>— the rationale for selection of the treatment options, including
                    the expected benefits to be gained;</p>
                </li>
                <li>
                  <p>— those who are accountable and responsible for approving and implementing
                    the plan;</p>
                </li>
                <li>
                  <p>— the proposed actions;</p>
                </li>
                <li>
                  <p>— the resources required, including contingencies;</p>
                </li>
                <li>
                  <p>— the performance measures;</p>
                </li>
                <li>
                  <p>— the constraints;</p>
                </li>
                <li>
                  <p>— the required reporting and monitoring;</p>
                </li>
                <li>
                  <p>— when actions are expected to be undertaken and completed. ===
                    6.6 Monitoring and review</p>
                </li>
              </ol>
            </div>
            <div class="paragraph">
              <p>The purpose of monitoring and review is to assure and improve the quality
                and effectiveness of process design, implementation and outcomes.
                Ongoing monitoring and periodic review of the risk management process
                and its outcomes should be a planned part of the risk management
                process, with responsibilities clearly defined.<br> Monitoring and
                review should take place in all stages of the process. Monitoring
                and review includes planning, gathering and analysing information,
                recording results and providing feedback.<br> The results of monitoring
                and review should be incorporated throughout the organization’s performance
                management, measurement and reporting activities.</p>
            </div>
          </div>
        </div>
        <div class="sect2">
          <h3 id="_6_7_recording_and_reporting">6.7 Recording and reporting</h3>
          <div class="paragraph">
            <p>The risk management process and its outcomes should be documented and
              reported through appropriate mechanisms. Recording and reporting aims
              to:</p>
          </div>
          <div class="olist arabic">
            <ol class="arabic">
              <li>
                <p>— communicate risk management activities and outcomes across the
                  organization;</p>
              </li>
              <li>
                <p>— provide information for decision-making;</p>
              </li>
              <li>
                <p>— improve risk management activities;</p>
              </li>
              <li>
                <p>— assist interaction with stakeholders, including those with responsibility
                  and accountability for risk management activities. Decisions concerning
                  the creation, retention and handling of documented information
                  should take into account, but not be limited to: their use, information
                  sensitivity and the external and internal context.<br> Reporting
                  is an integral part of the organization’s governance and should
                  enhance the quality of dialogue with stakeholders and support top
                  management and oversight bodies in meeting their responsibilities.
                  Factors to consider for reporting include, but are not limited
                  to:</p>
                <div class="ulist">
                  <ul>
                    <li>
                      <p>differing stakeholders and their specific information needs
                        and requirements;</p>
                    </li>
                    <li>
                      <p>cost, frequency and timeliness of reporting;</p>
                    </li>
                    <li>
                      <p>method of reporting;</p>
                    </li>
                    <li>
                      <p>relevance of information to organizational objectives and decision-making.
                        #bookmark=id.2h27hrjhtsun[TOC]
                      </p>
                    </li>
                  </ul>
                </div>
              </li>
            </ol>
          </div>
        </div>
        <div class="sect2">
          <h3 id="_bibliography">Bibliography</h3>
          <table class="tableblock frame-all grid-all spread">
            <colgroup>
              <col style="width: 50%;">
              <col style="width: 50%;">
            </colgroup>
            <thead>
              <tr>
                <th class="tableblock halign-left valign-top">[1]</th>
                <th class="tableblock halign-left valign-top">IEC 31010, <em>Risk management — Risk assessment techniques</em></th>
              </tr>
            </thead>
          </table>
        </div>
      </div>
    </div>
  
                  </div>
        </div>
      </div>
    </div>
  </div>
</body>

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[[Standards]]
[[ISO/IEC 21838 | https://www.iso.org/standard/71954.html]]

Management System Requirements
======================================================

# 4 Context of the organization
------------------------------------------------------

## 4.1 Understanding the organization and its context


The organization shall determine external and internal issues that are relevant to its purpose and that affect its ability to achieve the intended outcome(s) of its information security management system.



NOTE: Determining these issues refers to establishing the external and internal context of the organization considered in Clause 5.3.1 of ISO 31000

## 4.2 Understanding the needs and expectations of interested parties {



The organization shall determine:



a) interested parties that are relevant to the information security management system; and



b) the requirements of these interested parties relevant to information security.



NOTE:

The requirements of interested parties may include legal and regulatory requirements and contractual obligations.

## 4.3 Determining the scope of the information security management system

The organization shall determine the boundaries and applicability of the information security management   system to establish its scope.



When determining this scope, the organization shall consider:



a) the external and internal issues referred to in 4.1;

b) the requirements referred to in 4.2; and

c) interfaces and dependencies between activities performed by the organisation, and those that are performed by other organisations.



The scope shall be available as documented information.

## 4.4 Information security management system 

The organization shall establish, implement, maintain and continually improve an information security management system, in accordance with the requirements of this International Standard.

# 5 Leadership 
-------------------------------------

## 5.1 Leadership and commitment 

Top management shall demonstrate leadership and commitment with respect to the information security management system by:



a) ensuring the information security policy and the information security objectives are established and are compatible with the strategic direction of the organization;

b) ensuring the integration of the information security management system requirements into the organization’s processes;



c) ensuring that the resources needed for the information security management system are available;

d) communicating the importance of effective information security management and conforming to the information security management system requirements;

e) ensuring that the information security management system achieves its intended outcome(s);

f) directing and supporting persons to contribute to the effectiveness of the information security management system;

g) promoting continual improvement; and

h) supporting other relevant management roles to demonstrate their leadership as it applies to their areas of responsibility.

## 5.2 Policy 



Top management shall establish an information security policy that:



a) is appropriate to the purpose of the organization;

b) includes information security objectives (see 6.2) or provides the framework for setting information security objectives

c) includes a commitment to satisfy applicable requirements related to information security; and

d) includes a commitment to continual improvement of the information security management system.



The information security policy shall:



e) be available as documented information;

f) be communicated within the organization; and

g) be available to interested parties, as appropriate.

## 5.3 Organizational roles, responsibilities and authorities



Top management shall ensure that the responsibilities and authorities for roles relevant to information security are assigned and communicated.



Top management shall assign the responsibility and authority for:



a) ensuring that the information security management system conforms to the requirements of this International Standard; and

b) reporting on the performance of the information security management system to top management.



NOTE: Top management may also assign responsibilities and authorities for reporting performance of the information security management system within the organization.

# 6 Planning
-----------------------------------

## 6.1 Actions to address risks and opportunities

### 6.1.1 General {#h.ebf314phk85u .c6}

When planning for the information security management system, the organization shall consider the issues referred to in 4.1 and the requirements referred to in 4.2 and determine the risks and opportunities that need to be addressed to:



a) ensure the information security management system can achieve its intended outcome(s);

b) prevent, or reduce, undesired effects; and

c) achieve continual improvement.



The organization shall plan:

d) actions to address these risks and opportunities, and

e) how to

1) integrate and implement these actions into its information security management system processes; and

2) evaluate the effectiveness of these actions.

### 6.1.2 Information security risk assessment

The organization shall define an information security risk assessment process that:



a) establishes and maintains information security risk criteria that includes

1) the risk acceptance criteria and

2) criteria for performing information security risk assessments



b) ensures that repeated information security risk assessments produce consistent, valid and comparable results.



The organization shall:



c) Identify the information security risks.

1) apply the information security risk assessment process to identify risks associated with the loss of confidentiality, integrity and availability for information within the scope of the ISMS.

2) Identify the risk owners.

d) Analyse the information security risks.

1) Assess the potential consequences that would result if the risks identified in 6.1.1 c) 1) were to materialize.

2) Assess the realistic likelihood of the occurrence of the risks identified in 6.1.1 c) 1).

3) Determine the levels of risk.

e) Evaluate the information security risks.

1) Compare the analysed risks with the risk criteria established in 6.1.2 a) and establish priorities for treatment.



The organization shall retain documented information about the information security risk assessment process.

### 6.1.3 Information security risk treatment 



The organization shall apply an information security risk treatment process to:



a) select appropriate information security risk treatment options, taking account of the risk assessment results;


b) determine all controls that are necessary to implement the information security risk treatment option(s) chosen

NOTE: Organizations can design Controls as required, or identify them from any source.



c) compare the Controls determined in 6.1.3 b) above with those in Annex A and verify that no necessary controls have been omitted;

NOTE 1: Annex A contains a comprehensive list of Control objectives and Controls. Users of this International Standard are directed to Annex A to ensure that no important control options are overlooked

NOTE 2: Control objectives are implicitly included in the controls chosen. The Control objectives and controls listed in Annex A are not exhaustive and additional control objectives and controls may also be needed.



d) produce a Statement of Applicability that contains the necessary Controls (see 6.1.3 a), b) and c)) and justification for inclusions, whether they are implemented or not, and the justification for exclusions of controls in Annex A;



e) formulate an information security risk treatment plan;



f) obtain risk owner’s approval of the information security risk treatment plan and the acceptance of the residual information security risks.



The organization shall retain documented information about the information security risk treatment process.



NOTE: The information security risk assessment and treatment process in this International Standard aligns with the principles and generic guidelines provided in ISO 31000.

## 6.2 Information security objectives and plans to achieve them



The organization shall establish information security objectives at relevant functions and levels.



The information security objectives shall:



a) be consistent with the information security policy;

b) be measurable (if practicable);

c) take into account applicable information security requirements, and results from risk assessment and treatment;

d) be communicated, and

e) be updated as appropriate.



The organization shall retain documented information on the information security objectives.



When planning how to achieve its information security objectives, the organization shall determine:



f) what will be done;

g) what resources will be required;

h) who will be responsible;

i) when it will be completed; and

j) how the results will be evaluated.

# 7 Support
----------------------------------

## 7.1 Resources

The organization shall determine and provide the resources needed for the establishment, implementation, maintenance and continual improvement of the information security management system.

## 7.2 Competence



The organization shall:



a) determine the necessary competence of person(s) doing work under its controls that affects its information security performance;

b) ensure that these persons are competent on the basis of appropriate education, training, or experience;

c) where applicable, take actions to acquire the necessary competence, and evaluate the effectiveness of the actions taken; and

d) retain appropriate documented information as evidence of competence.



NOTE: Applicable actions may include, for example: the provision of training to, the mentoring of, or the reassignment of current employees; or the hiring or contracting of competent persons.

## 7.3 Awareness

Persons doing work under the organization’s Controls shall be aware of:



a) the information security policy;

b) their contribution to the effectiveness of the information security management system, including the benefits of improved information security performance; and

c) the implications of not conforming with the information security management system requirements.

## 7.4 Communication

The organization shall determine the need for internal and external communications relevant to the information security management system including:



a) on what to communicate;

b) when to communicate;

c) with whom to communicate;

d) who shall communicate; and

e) the processes by which communication shall be effected.

## 7.5 Documented information

### 7.5.1 General

The organization’s information security management system shall include:



a) documented information required by this International Standard; and

b) documented information determined by the organization as being necessary for the effectiveness of the information security management system.



NOTE: The extent of documented information for an information security management system can differ from one organization to another due to:

1) the size of organization and its type of activities, processes, products and services;

2) the complexity of processes and their interactions; and

3) the competence of persons.

### 7.5.2 Creating and updating



When creating and updating documented information the organization shall ensure appropriate:



a) identification and description (e.g. a title, date, author, or reference number);

b) format (e.g. language, software version, graphics) and media (e.g. paper, electronic); and

c) review and approval for suitability and adequacy.

### 7.5.3 Controls of documented information

Documented information required by the information security management system and by this International Standard shall be controlled to ensure:

a) it is available and suitable for use, where and when it is needed; and

b) it is adequately protected (e.g. from loss of confidentiality, improper use, or loss of integrity).



For the control of documented information, the organization shall address the following activities, as applicable:



c) distribution, access, retrieval and use;

d) storage and preservation, including the preservation of legibility;

e) Controls of changes (e.g. version control); and

f) retention and disposition.



Documented information of external origin, determined by the organization to be necessary for the planning and operation of the information security management system, shall be identified as appropriate, and controlled.



NOTE: Access implies a decision regarding the permission to view the documented information only, or the permission and authority to view and change the documented information, etc.

# 8 Operation
------------------------------------

## 8.1 Operational planning and Controls



The organization shall plan, implement and controls the processes needed to meet information security requirements, and to implement the actions determined in 6.1.

The organization shall implement plans to achieve information security objectives determined in 6.2.



The organization shall keep documented information to the extent necessary to have confidence that the processes have been carried out as planned.

The organization shall control planned changes and review the consequences of unintended changes, taking action to mitigate any adverse effects, as necessary.



The organization shall ensure that outsourced processes are determined and controlled.

## 8.2 Information security risk assessment

The organization shall perform information security risk assessments at planned intervals or when significant changes are proposed or occur, taking account of the criteria established in 6.1.2).

The organization shall retain documented information of the results of the information security risk assessments.

## 8.3 Information security risk treatment

The organization shall implement the information security risk treatment plan.

The organization shall retain documented information of the results of the information security risk treatment.

# 9 Performance evaluation
-------------------------------------------------

## 9.1 Monitoring, measurement, analysis and evaluation



The organization shall evaluate the information security performance and the effectiveness of the information security management system.



The organization shall determine:



a) what needs to be monitored and measured, including information security processes and controls;

b) the methods for monitoring, measurement, analysis and evaluation, as applicable, to ensure valid results



NOTE: The methods selected should produce comparable and reproducible results to be considered valid.



c) when the monitoring and measuring shall be performed;

d) who shall monitor and measure;

e) when the results from monitoring and measurement shall be analyzed and evaluated; and

f) who shall analyse and evaluate these results.

The organization shall retain appropriate documented information as evidence of the monitoring and measurement results.

## 9.2 Internal audit

The organization shall conduct internal audits at planned intervals to provide information on whether the information security management system:



a) conforms to

1) the organization’s own requirements for its information security management system; and



2) the requirements of this International Standard;

b) is effectively implemented and maintained.



The organization shall:



c) plan, establish, implement and maintain an audit programme(s), including the frequency, methods, responsibilities, planning requirements and reporting. 



The audit programme(s) shall take into consideration the importance of the processes concerned and the results of previous audits;



d) define the audit criteria and scope for each audit;

e) select auditors and conduct audits to ensure objectivity and the impartiality of the audit process;

f) ensure that the results of the audits are reported to relevant management; and

g) retain documented information as evidence of the audit programme(s) and the audit results.

## 9.3 Management review



Top management shall review the organization's information security management system at planned intervals to ensure its continuing suitability, adequacy and effectiveness.



The management review shall include consideration of:



a) the status of actions from previous management reviews;

b) changes in external and internal issues that are relevant to the information security management system;

c) feedback on the information security performance, including trends in:



1) nonconformities and corrective actions;

2) monitoring and measurement results;

3) audit results; and

4) fulfilment of information security objectives;

d) feedback from interested parties;

e) results of risk assessment and status of risk treatment plan; and

f) opportunities for continual improvement.



The outputs of the management review shall include decisions related to continual improvement opportunities and any needs for changes to the information security management system.



The organization shall retain documented information as evidence of the results of management reviews.



# 10 Improvement
---------------------------------------

## 10.1 Nonconformity and corrective action



When a nonconformity occurs, the organization shall:



a) react to the nonconformity, and as applicable:



1) take action to controls and correct it; and

2) deal with the consequences;



b) evaluate the need for action to eliminate the causes of nonconformity, in order that it does not recur or occur elsewhere, by:



1) reviewing the nonconformity;

2) determining the causes of the nonconformity; and

3) determining if similar nonconformities exist, or could potentially occur;



c) implement any action needed;

d) review the effectiveness of any corrective action taken; and

e) make changes to the information security management system, if necessary.



Corrective actions shall be appropriate to the effects of the nonconformities encountered.



The organization shall retain documented information as evidence of:



f) the nature of the nonconformities and any subsequent actions taken, and

g) the results of any corrective action.

## 10.2 Continual improvement



The organization shall continually improve the suitability, adequacy and effectiveness of the information security management system.

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[[plugins/chanilino/viz/Usage]]

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

[[Risk Ontology]]

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Jupyter' sort[title]>>
</div>

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Legal' sort[title]>>
</div>

[[http://www.estrellaproject.org/doc/D1.4-OWL-Ontology-of-Basic-Legal-Concepts.pdf]]

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

$:/plugins/bimlas/locator

<$vars searchTiddler=" ">
  <<locator-fields>>
</$vars>

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! hi

Error reproduction

! Press

[img[Screenshot 2020-07-08 at 8.15.13 AM.png]]

! Error message

[img[Screenshot 2020-07-08 at 8.13.45 AM.png]]
[img[Internal JavaScript Error.png]]


! References

* [[https://github.com/react-static/react-static/issues/906]]
* [[https://github.com/felixhayashi/TW5-TiddlyMap/issues/271]]
* [[https://github.com/felixhayashi/TW5-TiddlyMap/issues/282]]

!! [[Mobile theme: Mobie|Mobie theme]] <<tversion mobie>>

<<readme "Readme Mobie theme" $:/themes/tg/mobie>>

<<slider "Screenshot" Screenshot_Mobile_theme.jpg>>

See also demo site: http://tw5mobile.tiddlyspot.com/

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Modeling Tools and Methods' sort[title]>>
</div>

yippiii!!!!!

yipeee!!

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Ontologies' sort[title]>>
</div>

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Ontology Editor' sort[title]>>
</div>

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```
<?xml version="1.0"?>
<rdf:RDF xmlns="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#"
     xml:base="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI"
     xmlns:owl="http://www.w3.org/2002/07/owl#"
     xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
     xmlns:xml="http://www.w3.org/XML/1998/namespace"
     xmlns:xsd="http://www.w3.org/2001/XMLSchema#"
     xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#">
    <owl:Ontology rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI"/>
    


    <!-- 
    ///////////////////////////////////////////////////////////////////////////////////////
    //
    // Datatypes
    //
    ///////////////////////////////////////////////////////////////////////////////////////
     -->

    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#deliberate -->

    <rdfs:Datatype rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#deliberate">
        <owl:equivalentClass rdf:resource="http://www.w3.org/2001/XMLSchema#boolean"/>
    </rdfs:Datatype>
    


    <!-- 
    ///////////////////////////////////////////////////////////////////////////////////////
    //
    // Object Properties
    //
    ///////////////////////////////////////////////////////////////////////////////////////
     -->

    


    <!-- http://webprotege.stanford.edu/RDRbnROczAVOC3SFQco8k1e -->

    <owl:ObjectProperty rdf:about="http://webprotege.stanford.edu/RDRbnROczAVOC3SFQco8k1e">
        <rdfs:label>owns</rdfs:label>
    </owl:ObjectProperty>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#controls -->

    <owl:ObjectProperty rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#controls"/>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#controlsRisk -->

    <owl:ObjectProperty rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#controlsRisk">
        <rdfs:subPropertyOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#controls"/>
        <rdfs:domain rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Control"/>
        <rdfs:range rdf:resource="http://webprotege.stanford.edu/RJFNIdd8UR7HICotAPijK8"/>
    </owl:ObjectProperty>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#exploit -->

    <owl:ObjectProperty rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#exploit">
        <rdfs:domain rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Threat"/>
        <rdfs:range rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Vulnerability"/>
    </owl:ObjectProperty>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#has -->

    <owl:ObjectProperty rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#has"/>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#hasComponent -->

    <owl:ObjectProperty rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#hasComponent">
        <rdfs:subPropertyOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#has"/>
    </owl:ObjectProperty>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#hasEnvironment -->

    <owl:ObjectProperty rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#hasEnvironment">
        <rdfs:subPropertyOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#has"/>
        <rdfs:domain rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#System"/>
        <rdfs:range rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Environment"/>
    </owl:ObjectProperty>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#hasRisk -->

    <owl:ObjectProperty rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#hasRisk">
        <rdfs:domain rdf:resource="http://webprotege.stanford.edu/RDMHCqJO05fRzv3GLPEYa5"/>
        <rdfs:range rdf:resource="http://webprotege.stanford.edu/RJFNIdd8UR7HICotAPijK8"/>
    </owl:ObjectProperty>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#hasSystemComponent -->

    <owl:ObjectProperty rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#hasSystemComponent">
        <rdfs:subPropertyOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#hasComponent"/>
        <rdfs:domain rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#System"/>
        <rdfs:range rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#OntoRiskConcept"/>
    </owl:ObjectProperty>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#isRootCauseOf -->

    <owl:ObjectProperty rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#isRootCauseOf">
        <rdfs:domain rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#SourceEvent"/>
        <rdfs:range rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Event"/>
    </owl:ObjectProperty>
    


    <!-- 
    ///////////////////////////////////////////////////////////////////////////////////////
    //
    // Classes
    //
    ///////////////////////////////////////////////////////////////////////////////////////
     -->

    


    <!-- http://webprotege.stanford.edu/RDI6Wd1Wj42T62KOEKpoMRF -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/RDI6Wd1Wj42T62KOEKpoMRF">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#OntoRiskConcept"/>
        <rdfs:label>Role</rdfs:label>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/RDMHCqJO05fRzv3GLPEYa5 -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/RDMHCqJO05fRzv3GLPEYa5">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#OntoRiskConcept"/>
        <rdfs:label>Asset</rdfs:label>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/RDVtbtfpxOGm2TYvdWUexnm -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/RDVtbtfpxOGm2TYvdWUexnm">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/RDI6Wd1Wj42T62KOEKpoMRF"/>
        <rdfs:subClassOf>
            <owl:Restriction>
                <owl:onProperty rdf:resource="http://webprotege.stanford.edu/RDRbnROczAVOC3SFQco8k1e"/>
                <owl:someValuesFrom rdf:resource="http://webprotege.stanford.edu/RDMHCqJO05fRzv3GLPEYa5"/>
            </owl:Restriction>
        </rdfs:subClassOf>
        <rdfs:label rdf:datatype="http://www.w3.org/2001/XMLSchema#string">Asset Owner</rdfs:label>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/RJFNIdd8UR7HICotAPijK8 -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/RJFNIdd8UR7HICotAPijK8">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#OntoRiskConcept"/>
        <rdfs:label>Risk</rdfs:label>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#BusinessEnvironment -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#BusinessEnvironment">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Environment"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#CommercialObjective -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#CommercialObjective">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Objective"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#ComplianceObjective -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#ComplianceObjective">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Objective"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Control -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Control">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#OntoRiskConcept"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#EconomicEnvironment -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#EconomicEnvironment">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Environment"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Environment -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Environment">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#OntoRiskConcept"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Event -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Event">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#OntoRiskConcept"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#ICT_Environment -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#ICT_Environment">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#TechnicalEnvironment"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#InformationSystem -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#InformationSystem">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#System"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#LegalEnvironment -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#LegalEnvironment">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Environment"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Objective -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Objective">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#OntoRiskConcept"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#OntoRiskConcept -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#OntoRiskConcept"/>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#RiskReductionObjective -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#RiskReductionObjective">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Objective"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#SecurityConcept -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#SecurityConcept">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#OntoRiskConcept"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#SecurityEvent -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#SecurityEvent">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Event"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#SecurityObjective -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#SecurityObjective">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Objective"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#SocialEnvironment -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#SocialEnvironment">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Environment"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#SourceEvent -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#SourceEvent">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Event"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#System -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#System">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#OntoRiskConcept"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#SystemComponent -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#SystemComponent">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#OntoRiskConcept"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#TechnicalEnvironment -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#TechnicalEnvironment">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Environment"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Threat -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Threat">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#OntoRiskConcept"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Vulnerability -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Vulnerability">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Waekness"/>
    </owl:Class>
    


    <!-- http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Waekness -->

    <owl:Class rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Waekness">
        <rdfs:subClassOf rdf:resource="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#OntoRiskConcept"/>
    </owl:Class>
    


    <!-- 
    ///////////////////////////////////////////////////////////////////////////////////////
    //
    // General axioms
    //
    ///////////////////////////////////////////////////////////////////////////////////////
     -->

    <rdf:Description>
        <rdf:type rdf:resource="http://www.w3.org/2002/07/owl#AllDisjointClasses"/>
        <owl:members rdf:parseType="Collection">
            <rdf:Description rdf:about="http://webprotege.stanford.edu/RDI6Wd1Wj42T62KOEKpoMRF"/>
            <rdf:Description rdf:about="http://webprotege.stanford.edu/RDMHCqJO05fRzv3GLPEYa5"/>
            <rdf:Description rdf:about="http://webprotege.stanford.edu/RJFNIdd8UR7HICotAPijK8"/>
            <rdf:Description rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Control"/>
            <rdf:Description rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Event"/>
            <rdf:Description rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Objective"/>
            <rdf:Description rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#SecurityConcept"/>
            <rdf:Description rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Threat"/>
            <rdf:Description rdf:about="http://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI#Waekness"/>
        </owl:members>
    </rdf:Description>
</rdf:RDF>


```

<!-- Generated by the OWL API (version 4.5.9.2019-02-01T07:24:44Z) https://github.com/owlcs/owlapi -->

online at 

http://35.198.249.79:8080/webprotege/#projects/88702b4a-b755-420e-ad15-46cf92199a67/edit/Classes?selection=Class(%3Chttp://webprotege.stanford.edu/project/DlB3CVxTF2bVYL89SGc3BI%23System%3E)
\

! Key concepts

! Identify Stakeholder to be considered

! Define focus risk domain if application; any exclusions

! Define the context using or establishing an business domain ontology

Stakeholder considerations and scope limitations:

A risk assessment need to have a scope and context defined




  confined to the scope and direct interfaces with other organizations, the Impact of stakeholders need to be considered and where appropriate, risks need to be communicated to corporate functions.

! Reference

[[ISO 31000]]

! hi

! ORM will be a  powerful ontology based risk management tool

[[OntoRisk Project]]


 Widget Code Generator
 Use the code below to embed a view in a tiddler.

<$tmap view="OntoRisk Project" ></$tmap>

[[Example Plant UML]]

! Use case diagram

[[plantuml[

@startuml

(First usecase)
(Another usecase) as (UC2)
usecase UC3
usecase (Last\nusecase) as UC4

@enduml
]]]

  
[img[OrgOntology.png]]
[[The Organization Ontology W3C Recommendation 16 January 2014 | https://www.w3.org/TR/vocab-org/]]
[[SRMS GDoc | https://docs.google.com/document/d/16_XNtoI_awJ2tLMonu-aSgdSbN1mYkOg5KXNnWa_nHI/edit]]

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[[https://www.w3.org/OWL/]]

[[https://owlready2.readthedocs.io/en/latest/]]

```

Short example: What can I do with Owlready?
Load an ontology from a local repository, or from Internet:

>>> from owlready2 import *
>>> onto_path.append("/path/to/your/local/ontology/repository")
>>> onto = get_ontology("http://www.lesfleursdunormal.fr/static/_downloads/pizza_onto.owl")
>>> onto.load()
Create new classes in the ontology, possibly mixing OWL constructs and Python methods:

>>> class NonVegetarianPizza(onto.Pizza):
...   equivalent_to = [
...     onto.Pizza
...   & ( onto.has_topping.some(onto.MeatTopping)
...     | onto.has_topping.some(onto.FishTopping)
...     ) ]

...   def eat(self): print("Beurk! I'm vegetarian!")
Access the classes of the ontology, and create new instances / individuals:

>>> onto.Pizza
pizza_onto.Pizza

>>> test_pizza = onto.Pizza("test_pizza_owl_identifier")
>>> test_pizza.has_topping = [ onto.CheeseTopping(),
...                            onto.TomatoTopping() ]
In Owlready2, almost any lists can be modified in place, for example by appending/removing items from lists. Owlready2 automatically updates the RDF quadstore.

>>> test_pizza.has_topping.append(onto.MeatTopping())
Perform reasoning, and classify instances and classes:

>>> test_pizza.__class__
onto.Pizza

>>> # Execute HermiT and reparent instances and classes
>>> sync_reasoner()

>>> test_pizza.__class__
onto.NonVegetarianPizza
>>> test_pizza.eat()
Beurk! I'm vegetarian !
Export to OWL file:

>>> onto.save()

```
! Source
[[convert between Protégé, Owlready2 and/or Description Logics]]

[[https://colab.research.google.com/drive/1RooAJgS5RUIvgTvRKkmNGYC6laBil6f5#scrollTo=hp7MLurqi-Ab]]

! Conference topics 

[[https://hackathon.apixplatform.com/globalfintechhackcelerator/landing]]
[[https://docs.google.com/document/d/1a6sYa6TEDHfDpkWg8J9IPLMRlOIcA5F5XdRjlq5p2Z8/edit?usp=sharing]]

#69 Disclosure Mechanisms

There are fragmentations in the reporting of group level sustainability which are reported at a corporate level while social 'needs' are reported at a local level. This causes current 'mapping' to SDGs to fail in capturing important regional dimensions. How might we utilise technology to solve this mismatch? 

#106 Risk Management

How might banks and financial institutions quantitatively and qualitatively evaluate associated risks in a simple, clear and objective manner, while remaining cost-effective to enable the right risk-mitigation decisions? 

#107 
How might we continue to cover customers' risks in a world where adoption of disruptive technologies creates uncertainty compared to traditional business practices (e.g., unclear ownership of liability)? 


! Reference
[[Exploring ontologies for semantic interoperability of data in emergency response]]

!Abstract

Todays FI have to deal with many types of incidents and emergencies; e.g. but. not limited to like data leakage and disclosure of personal data, pandemics, Fraudulent activities.

Incident response is a complex activity involving many actors and heterogeneous operational  data in the financial industry.

Two of the major challenges are the integration and extraction of these data and their transmission to incident and emergency management actors. Although significant progress has been made regarding the systemic and syntactic heterogeneity of data in this context, semantic heterogeneity remains insufficiently addressed. Here, we discuss the possibility of applying the ontology to resolve semantic heterogeneity in emergency response. 

We propose an architecture and  concept for a solution to the semantic interoperability problem in emergency and incident management using an ontology.


! Key words and statements

#Traditionally we divide responsibilities for incident and emergency handling according to organisational structures and roles. The DPO is in charge to manage risks related to personal data protection, the CSO manages risks related to IT Security, the compliance office ensures formal compliance.

#Incidents and events triggering other events

[img[event and consequences.png]]

! Outline

#Established ontologies and their usage in FI
#Governance, Risk and Compliance in the FI
#A GRC ontology for the FI
#Architecture of OntoRiskFI
#GRC and regulatory compliance

! References

[[https://spec.edmcouncil.org/fibo/ontology/FND/Organizations/Organizations/]]

[[https://spec.edmcouncil.org/fibo/OWL]]

! See also
[[GRC in FI]]

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'PlantUML' sort[title]>>
</div>


! Sample [[Example Plant UML]]

[[PlantUML plugin | http://tobibeer.github.io/tw5-plugins/#plantuml]]

```
<$viz text='  digraph G {
      Consola->nginx [label="Pide encriptar url para cliente", color=green]
      nginx [shape=box];
      nginx->Consola [color=red]
      client-> HAPROXY  [color=red]
      STUPID [shape=box];
      HAPROXY -> STUPID  [color=red]
      STUPID -> Prelanderred
      STUPID -> STUPID [color=green, label="Pasa del nginx al hhvm desdencriptado"]
      vsh [shape=box];
      STUPID->vsh  [color=red]
     }' class="myexample"/>
```

<$viz text='  digraph G {
      Consola->nginx [label="Pide encriptar url para cliente", color=green]
      nginx [shape=box];
      nginx->Consola [color=red]
      client-> HAPROXY  [color=red]
      STUPID [shape=box];
      HAPROXY -> STUPID  [color=red]
      STUPID -> Prelanderred
      STUPID -> STUPID [color=green, label="Pasa del nginx al hhvm desdencriptado"]
      vsh [shape=box];
      STUPID->vsh  [color=red]
     }' class="myexample"/>

[[GraphViz]]

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Problem' sort[title]>>
</div>

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Product' sort[title]>>
</div>

[[All]]

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Protege' sort[title]>>
</div>

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Python' sort[title]>>
</div>

<<fold "!Python Visual Navigation" 
"""
<$tidgraph start="Python" layout="E" mode="tagging"/>
"""
>>
<br>

<<fold "Visual Navigation" 
"""
{{Visual Menu}}
"""
>>
<br>

[[https://github.com/eniacization/PyTiddlyWiki]]

! How can PyTiddlyWiki be used?
Having the possibility to capture ideas and thoughts in a non-linear, 'rhizomatic' way is one of the amazing features of TiddlyWiki. But sometimes a linear structure can also be helpful. For example, think of the natural chronological order of a journal. The linear nature of a book and the possibility to 'turn pages' is lost to some extent in a wiki. Exporting (parts of) a TiddlyWiki as a pdf with a book-like structure reinstates a linear structure to your wiki.

The following use cases are part of [[example.py|https://github.com/eniacization/PyTiddlyWiki/blob/master/example.py]].

```
from tiddlywiki import TiddlyWiki

tw5 = TiddlyWiki.parse_from_html('./example/tw5.html')

predicate = lambda t: 'journal' in t.tags
journal_tiddlers = list(tw5.finditer(predicate))

for tiddler in journal_tiddlers:
    tiddler.open_in_browser()

for tiddler in journal_tiddlers:
    tiddler.export_to_file('./example/' + tiddler.title + '.pdf')

tw5.export_to_file('./example/tw5_journal.pdf',
                   '--toc',
                   key=lambda t: t.created,
                   predicates=[predicate])

tw5.open_in_browser(key=lambda t: t.created,
                    predicates=[predicate])

```

[[https://colab.research.google.com/drive/1dDU_EaVlimUBUt2M9h5RJvbaIsJchj_m?usp=sharing]]

https://tiddlywiki.com/static/Railroad%2520Plugin.html

[[[[Bookmarks]]|https://neo4j.com/blog/rdf-triple-store-vs-labeled-property-graph-difference/]]

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'References' sort[title]>>
</div>

[[https://www.gasq.org/files/content/gasq/downloads/certification/IREB/IREB%20AL/ireb_cpre_handbook_requirements-modeling_advanced-level-v1.3.pdf]]

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Requirements' sort[title]>>
</div>

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Resources' sort[title]>>
</div>


<<fold "Resources Visual Navigation" 

"""
<$tidgraph start="Resources" layout="E" mode="tagging"/>

"""
>>
<br>

<<fold "Visual Navigation" 
"""
{{Visual Menu}}
"""
>>
<br>

1. combination of the probability of an event and its consequence

Remark: ISO 31000 defines risk as uncertainty in achieving objectives.


! Risk is the effect of uncertainty on objectives


This definition is very different from definitions used in the area of safety, security or IT management.

!! NOTE 1 

An effect is a deviation from the expected - positive and/or negative. 


!! NOTE 2

Objectives can have different aspects (such as financial, health and safety, and environmental goals) and can apply at different levels (such as strategic, organization-wide, project, product and process).

!! NOTE 3 
Risk is often characterized by reference to potential events (2.19) and consequences (2.20), or a combination of these. 


!! NOTE 4
Risk is often expressed in terms of a combination of the consequences of an event (including changes in circumstances) and the associated likelihood of occurrence. 


!! NOTE 5
Uncertainty is the state, even partial, of deficiency of information related to, understanding or knowledge of an event, its consequence, or likelihood.   [ISO Guide 73:2009, definition 1.1]

[[Risk Identification]]

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Risk Assessment' sort[title]>>
</div>

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Risk Assessment' sort[title]>>
</div>

[[Risk Analysis]]

Risk Glossary SRMS |https://docs.google.com/document/d/1kkWi78DlO6S7WePEVWQXt_uhA3Vj_2RpKtLFiksX9ko/edit?usp=sharing

[[Risk Assessment]]

[[Risk Management Processes and Activities]]

<$tmap view="27001 RM Approach" ></$tmap>

[[Risk Management Approach ISO/IEC 27001]]

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Risk Management Processes and Activities' sort[title]>>
</div>

[[https://docs.google.com/document/d/1-rx1FH5eajSw5iybu4ZxkNJqpejpuO3fWN8MOmPhBRk/edit?usp=sharing]]

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PgkkZ0YvbtiwwRSoUhiehgACCCCQOQIEkjOnL3K6EgLJOcmwHAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgdQIEEiOORJITs14inSUTAslv/baa7Z06VJ37XkFkv0NfvHFF/bBBx/8P3tnAmdT2cfxPzNjNmMZZMuSfd9CIjsRRUISFaU3ad+ohBBarEXKmuxSREgpay+y75Lda8k2xjCDGbzn91zPce6Zc+/cGYw7+v0/n5lzznOe7fye555zje/zO/pQqlevLjVr1jSP74SdH3/8UXbu3KkuhUDy7R/R+Ph4mTBhgtStW1cKFy58+zvEHlABKkAFqICpAIFkUwq/3SGQ7LdDw45RASpABagAFaACVIAKUAEqQAWoABWgAlSAClABKkAFqAAVoAJUgApQASpABajAHaIAgWTXQBJITuUJ7U9QckqAZMi1dOlSWbVqlalc8+bNpUSJEuZxWt8hkOxfIzh37lzZvn27tGrVikCyfw0Ne0MFqAAVEALJ/j8JCCT7/xixh1SAClABKkAFqAAVoAJUgApQASpABagAFaACVIAKUAEqQAWoABWgAlSAClABKpC2FSCQ7Bo/Asm3YR77C5ScUiA5ISFBRo8eLWfPnlXqZcqUSTp37izp0qW7DWre/CYJJN98TVNa48qVK2XZsmWqOIHklKrIclSAClCBW6cAgeRbp+3NqplA8s1SkvVQASpABagAFaACVIAKUAEqQAWoABWgAlSAClABKkAFqAAVoAJUgApQASpABagAFXBWgECySxcCyc7z45an+gOUnFIgGeKsW7dOFi1aZOrUunVrKVSokHls3Tl//rwcPXpUjh07JiEhIXLXXXfJ3XffLenTp7dmk/3798vp06fd0vRBhQoV3PLv2rVLzp07p0+rc8hjj0uXLsk///wjR44ckcuXL6u28+XLJ8HBwfas5nFygGRAPqdOnVJtYBsRESE5cuRQP97aQGMAunfs2CHly5dXusTHxysnYOiEyJs3r9I0LCxMHTv9Qpm//vpLihUrJhkyZFBZoDducOhPtmzZpEiRIhIQEOBWHOcOHTokcXFxkidPHvUTFBTklsd+cOXKFTlx4oTSMiYmRrJnz67GEUC6p0CZgwcPSnR0tLpO5MOYbNu2TdWF/hUtWlSc6rA7cVevXl1y586tmsqYMaPkypXLU7OJ0tEPzK+LFy9KyZIl1XnMC2iHvqEfmBf48RSoA/MO45E/f37B2G/ZskWOHz+unJvvueeeREUxPtAMbUGzyMhINQfRnn1MEhW+loDPBOYEPkPoQ9asWaV48eJqrnkqg/SUzH2U+/vvv9X8wecL/YXOmCOYrzlz5kSWRJGSMokqYQIVoAJpUgECyf4/bASS/X+M2EMqQAWoABWgAlSAClABKkAFqAAVoAJUgApQASpABagAFaACVIAKUAEqQAWoABVI2woQSHaNH4Hk2ziPbzeUfCNAMiDOr776ylQPkGezZs3MY+zASfnnn39WgCOARsCgADMBVQLafeihh0zAFPkBPK5fv15Wr16NQxUAUBs2bOiWDyfQ/pIlS2Tnzp2SOXNmladw4cKuQtd+r127VgC1AoAGbAugE5BmaGioNGjQQEqVKuWWXx/4CiQfPnxYfvrpJwWmlihRQjlE79mzRwGogYGBUrNmTalSpYqbczSuEVAr+o3yCLhLA1qdP3++AoR1P7AFePvoo48qOFmnAywC5AuoF0AtrqlLly6qH4DEAYdaA9f/+OOPS3h4uMTGxsovv/yiylnzoJ2nn37aI+SK9qALgHIAsRhHAKuAyu+77z4BLIxrRmB89+3bp64TfQH0DIC3bdu2CrhG+5gLOuCsjf4VLFhQJynQd/ny5XLhwgUB1IsACKwhXkDMmBfeAv1Av6E1NEc/ypQpo8pBa2hnD0DtmBu6HZwHDAytAY8D9sZ5QOQzZsxQULeu49lnn1XzWh9v3rxZQfuAeHFt0AvzA2AywPXGjRt7hPhRB/qL+XXmzBkFnANixhzGZwT9q1y5stSpU0c357ZNydzHmHz//fdqjtx7770KzkZ7gA3RB2jTqFEjt3ZSUsatAh5QASqQ5hUgkOz/Q0gg2f/HiD2kAlSAClABKkAFqAAVoAJUgApQASpABagAFaACVIAKUAEqQAWoABWgAlSAClCBtK0AgWTX+BFIvs3z+HZCyTcCJEO2kSNHKogY+wCMAWTqAHQJuBGga4sWLUzAE26vU6dONWHW9u3bJ4KNAWECAEUA6K1Xr56u1m2LD/HkyZNV/XAI1gEn5AULFijgFxCsdt8F2IprhjMwAvWifnv4AiSvWrVKli1bphyCAdNqGBd1bd++XebOnauqhcvxY489pmBaJKxYsUIBrgBTdQAsBbwKh12Au4CTAb9qaBfw6VNPPWW60y5evFiBttpJGfU88sgjCtCGwy+cqqEB6tTQc6VKlQQ/GBMA3ACoAWmjnd27d6uuAP4GlGwPuGHjWjGOVmgY/fjzzz9VdgDCuE4EwNuNGzfKpk2b1D7ScF2A0jGuaBu6YPwAziIAG2P+AJq2BoB21IN44oknpECBAtbTXvcxzoCOASNjPiJQHlA2YGX0A0A14Gn0RQfchwGBIzDOAJoBYOuoX7++yg/gHuX0OLVs2VK5USMdcxhtA9a2Q8MLFy5U+qA+gM0Ak+0BR+/Zs2crmB6gv3a/Rr558+bJ1q1bVRF7/Tcy9/W8xxzQTtRoBBA9PmfQrkmTJqpd/SslZXRZbqkAFbgzFCCQ7P/jSCDZ/8eIPaQCVIAKUAEqQAWoABWgAlSAClABKkAFqAAVoAJUgApQASpABagAFaACVIAKUIG0rQA4Mph9gvMClwfmD2wazDr1D64Q+3dyEEj2g9G9XVDyjQLJkyZNMoFXfJhee+01U024xwI+fv75500YWZ8EAAswFpE9e3bp0KGDWx64sY4aNUo5/gImhoOw0wcRsCjA1xdeeMHtPNLhjNypUyeBq6w14Do7fPhwBaQCIu7YsaNERkZasygnYECoCLvrLdIAsOL6cMNAeVyDPdA++oGAEzOAYWtMmDBBgclIA0QMmDU4ONjMAg2g0cmTJ1UaQOA2bdqY57FjHT+AvACCAf3qgLvw2LFjFRSMGxzywJUadekApDR9+nQ5cOCASsJ4WfUA0IxxhjMuHHLt8c0335iw7sMPPyylS5c2s5w6dUrGjBmjjjF+gJahgxXetsK1OGd3rbYCyYDLATYnNwB/z5w50+xH8+bNBdCxNfSc0Wnt2rVTsDmOodGcOXMUmIxjuBs/8MADUq5cOQU3A9gG4Iw06KzHPkuWLPLcc8+5XS/KI++0adNMMN6uLRyvR48erdrF3MYDyhp6TJBm/9zp60ju3MdcGTZsmALDX3nlFWtzah/gOaBs6zxOSZlEFTOBClCBNK8AgWT/H0ICyf4/RuwhFaACVIAKUAEqQAWoABWgAlSAClABKkAFqAAVoAJUgApQASpABagAFaACVIAKpG0FCCS7xo9Asp/M49sBJVuBVrifwoE2OQFgVrvrotxbb72l4Mu9e/cqWLZatWpSu3btRFXCxXXw4MEKzMTJVq1aSeHChd3yWet2Oo/MgF3LlCkjaEcH3G8BMwNEhquwU8DtVTvi2h1mkV+7vmLfDiTD/RaQL4BhwLeAcJ0C1wjwGdAmwn4NAGS1S7IVfrXWBafkcePGmUn2fL/++qusX79enYdLMxyW7WF1423atKnSy54HDsQAfxGAdeEcrGPixIkKRAWkagWm9fnly5eLhtHsDsvQatCgQSpraGiooA47WA4XZ7hZI6pXry41a9ZU+/rXzQCS4SQNABzhbZ7DkRiuxghA21YAHOA7tERAZ+jtFADIx48fr+Y24G9Ay05h7RN0BUAMN3HE77//LmvWrPHo4I08gMj379+vPjeYW4gbmftWyBmu5XCwtgZcr3/77Tc1P3R6SsrostxSASpw5yignwG364rg+o/7KH6wyhCLXrA4RG/x3MECIoReeYh9/TzSW6TpcErT59LilkByWhw19pkKUAEqQAWoABWgAlSAClABKkAFqAAVoAJUgApQASpABagAFaACVIAKUAEqQAXSkgIEkl2jRSDZj2ZtakPJNwokW8sD3nn77bcV7PPtt9/K0aNHpVKlSm5uu1apV6xYYcK6devWlapVq1pPmy7ESCxSpIhyELZmAAw5ZcoU6dKli3L+1eeWLFkiq1evVtCoHXLWebZv3y5HjhxRh8ijgU593huQbIV3a9WqJffff78ulmj7yy+/yIYNG1Q6nH3h8KvDClzboWedB1trX+rXry+VK1c2TwMQXbt2rTp+8sknldOyefLaDpxtFy9erI4effTRRM7AOGF1ELa69ep0OP1a271WtdpgnLdt26b2AYK98cYb5mkAUJ9++qk6DgsLU0CyefLajhW6LlmypDRr1swtixVI9nSNbgUcDuDsCydnRLFixaRFixZq3/7L6ugMsO311183s+zYsUO5JCMB0DTgaaeYO3euYH4h7AC5PT/Adu2ADXflGjVqSHR0tALq4aIMd2Un921dD/prdQC/kbkfExMjX375paoaTtpwQga8bY2oqCjJmjWrmZSSMmZh7lABKnDHKEAg2f+HkkCy/48Re0gFqAAVoAJUgApQASpABagAFaACVIAKUAEqQAWoABWgAlSAClABKkAFqAAVoAJpWwECya7xI5DsZ/M4NaFkK1DszTnWk0SAPAF7IuDu+tJLLylnWLjiAqgsWrSociv0VF6no+2yZcvqQ3MLp2NAkICdX3zxRYmIiDDPzZ8/X+Lj490cW3ESkPKhQ4eUwytA2qQC/a5Tp45bNisEbIeFra7EgDZLlSrlVtZ6gJsM3JgRdiDXVyAZDshoE3HvvfdKgwYN1D5++QIkA4gGGI3wBCTDaReOu4h69epJlSpV1D6g8T/++EOgo90xV2Vw+NWwYUPTSdkXIBnji3FGOMHCqQkkow+ff/65xMXFYVdee+01CQkJUftwToaDMgLzBc7aTgFHa0DWCHwetOuxU15AfHCYRsCVGu7UVvBZO447lXVKu9G5b70f4DNXoUIFBUkDUPYUKSnjqS6mUwEqkDYVIJDs/+NGINn/x4g9pAJUgApQASpABagAFaACVIAKUAEqQAWoABWgAlSAClABKkAFqAAVoAJUgApQgbStAIFk1/gRSPbDeewEJcPJF4DgzQwrTJgSIPmLL76Q2NhY1SVd3uoym5RDbFLXAvdfQLcI7SCL/YsXL8qIESOUazLatcbw4cPl/PnzXl1srfmd9r0ByVOnTpWDBw+qYkk59kIbaKTjlVdeUWAyjn0FkrVLMcrYgV1fgOTNmzfLggULUNwnINnqVj1nzhwFyOqxVZUk41daBJInTJggx44dU1dphdF9AZIB4WsYH0Bv165dvaq1c+dO5YCNTHBChiMyAGXAfUFBQfLmm296LW8/eaNzH47HANPxGdaBfsAFHAB2+vTpdbK5TUkZszB3qAAVuCMUIJDs/8NIINn/x4g9pAJUgApQASpABagAFaACVIAKUAEqQAWoABWgAlSAClABKkAFqAAVoAJUgApQgbStAIFk1/gRSPbDeQyX1O3bt7v1DG7D5cqVc0u70YMbAZIBbQLe1AFn3EqVKokVoG3cuLGUL19eZ0n2VoPHcEKGOzJckgF6wvV3zZo18p///MetTuQbPHiwSoNzMRyMUxLegOQxY8aYwCYcbeFs6y0AqCYkJKgsVsDVVyD56NGj8u2336ry0Bc66/AFSN6yZYvATRrhi0OyFUjWcK52v9bt+rq92UBySgF3uHjDzRthh7pVouWX9TPx6quvSmhoqDrrC5DsDUC3NGHuHjlyRCZOnKiO0Q7agwsz2kK8/PLL4s2dWGW69utmzf0LFy4oR277/eeuu+6SVq1aubmU6/ZTUkaX5ZYKUIG0rwCBZP8fQwLJ/j9G7CEVoAJUgApQASpABagAFaACVIAKUAEqQAWoABWgAlSAClABKkAFqAAVoAJUgAqkbQUIJLvGj0Cyn81juKZu27YtUa/gEJwzZ85E6TeSYIUvk+uCu3TpUlm1apVqPiAgQMHCgCetoHLVqlUFgOuNxM8//yybNm1SVbRs2VKKFCmiQGiAwHBttceQIUPk0qVLkitXLnnmmWfsp3069gYkz5o1S3bt2qXqscK7niqGk/O5c+cUSA3H28DAQJXVVyB59+7dyk0ZhTT0rdu61UDyzJkzFWCO9t544w3JkCGDbtqnbVoEkgEuA2DWgLC+UF+AZOQdNmyYANBFYP5hHnqKqKgoGTVqlDqdN29ead++vSxcuFA2btyo0tq2bSv58+f3VDxR+s2Y+7rS/fv3y6JFi0z4HulZsmSRDh06SHBwsM7mtk1JGbcKeEAFqECaVIBAsv8PG4Fk/x8j9pAKUAEqQAWoABWgAlSAClABKkAFqAAVoAJUgApQASpABagAFaACVIAKUAEqQAXStgIEkl3jRyDZj+YxoMetW7cm6hHA27vvvjtR+o0mpBRIPnv2rIwbN07gYIy4//77pVatWmofaUOHDlX7mTJlUi7GAJa9xeHDhyVr1qwSFhaWKNvx48dl/PjxKr1w4cJSs2ZN5SrbpUsXx/waKIWTMhyJs2fPnqhOawKuJS4uzg329gYkL1++XDR8VbZsWWnSpIm1ukT7AwcOlMuXL6vrszo6+wokww36l19+UfXaAdVbDST//vvvyokajT/44INSsWLFRNdnTbhy5Yrs27dPME6ItAgkf/HFFwKn43z58smTTz5pXp6vQPLkyZMFDxdE06ZNpUyZMmYd9h3M+0mTJqlkOInDUXzt2rWCcUUUL15cuVqrAw+/4IyMzxxcrG9k7qMOjJ92hEZzOEZ/lixZosYSafbPenLLoA4GFaACd5YC+pl4u64qc+bMaqEEFktg4QwW/uB7h97i+0D69OlV97DFMcK+VYnXfulz1rS0vE8gOS2PHvtOBe5ABa4euAMvipdEBW6yAukK3OQKWR0VoAJUgApQASpABagAFaACVIAKUAEqQAWoABWgAlSAClABKnCrFSCQ7FKYQPKtnmk+1g/X3S1btiTKfatgZDSUEiAZACLKwQ0VAZAY4K92/kXaV199JdHR0diVevXqSZUqVdS+068TJ04IAOCOHTsqgMgpj4Y8AQgVKlRIAUfNmjVzyirz5883dYSbMlyVPQWclFH3ww8/LDly5DCzeQOS9+zZI3AORgB+eumllyQoKMgsa90B6Pz555+rpHLlyslDDz1knvYVSNbXA7AaOlshqVsNJAOOnzdvnuoz3K9feOEFj9eKTOgrXLzvvfdeVeZmA8kAhAEKJzfgeAxYF1GsWDFp0aKF2rf/Apw+cuRIlYz5VbJkSTOLr0Ay4N3Vq1ercgULFpQ2bdqYddh3rHViDpYuXVoB3TNmzDCz4nNx1113mcf2HczVatWqKd31XEGe5M59PBDxmYYTuz327t2rXLrx2cfCiHbt2qksKSljr5vHVIAKpH0FCCT7/xgSSPb/MWIPqcC/SgECyf+q4ebFplABAskpFI7FqAAVoAJUgApQASpABagAFaACVIAKUAEqQAWoABWgAlSACtw+BQgku7QnkHz75qDZ8t9//y2bN282j/XOrYSR0ca0adPkwAGXQ1WBAgXkiSee0E07bi9cuCCzZ882ywBGRhk4IVvD6uoLaBcAKOq3x/nz5+Xbb7+VqlWrmhCrPQ+Ot2/fLnPnzjVPoU2n+pDh5MmTyr1ZwzeegGicBxQMF0U7oOoNSEYb06dPV/Am9jVIin176H7DsbFTp04SERFhZvEFSIZTLwDZhIQE1UfAtNbwBUi2jsWjjz6qXHetdWAfICquCVG3bl01HtiHs/OoUaMEoC4CgC6gaicAe9WqVbJu3ToFLWs43Rcg+fTp0zJ69GhVvxMsvHTpUkHdiEceeURKlSql9pPzy1cgWTtCAwAGCGwNKzxcp04dwWfTKfAZwfVg7ACPd+7cOdHnQ5f7+eefZdOmTZIrVy55+umnVX5oBngazuAIOB+3bt06EZSMfICf8RnCHETcyNzHA3HRokXSoUMHVZf919SpU+XgwYPK/bpVq1bqdErK2OvlMRWgAmlfAQLJ/j+GeGYgrFvsY6EJnvVw28ciLTzDbsUbOfxfIfaQClCBVFWAQHKqys3G0qgCBJLT6MCx21SAClABKkAFqAAVoAJUgApQASpABagAFaACVIAKUAEq8G9WgECya/QJJN/mT8Hu3bsVlGjvxq2GkdHeuHHjBA7FCCcIU50wfgF6BDANuDUmJkYl58+fXwGiACbtYQdZAWYCOi5atKhqB87BgGD/+OMPBWPagWCn+gDmoh+AoP/zn//Ys7gdz5kzR3bs2GGmod0KFSpInjx5FHxz7NgxAUCF+gCChoaGmnmxY3WOfuqpp1Q5a4YzZ87I2LFjFSgMGPuZZ56RsLAwaxa1r4Hv2rVrKxdbawYrkFy+fHlp3Lix9bTa18AqXIHhDmwPfR7pcIKGK649APMC6kXUrFlTqlevbs8imIPoDwLnkU+HFWhGGpykkQdahoSEyKlTpxSIDGC3bdu2blpdvHhRhg4dqqoCmP7aa6+5OTzjxJEjR2TixIkqj9N1Yt4tWLBAna9UqZI0bNhQ7aMc5lXu3LnVsbdfViAZcDjGKzIy0q0IrgP9AJAFAPiee+5xO79t2zb56aefVBo+m4CSPYUG0XG+cOHCamysztZIB/w1YsQIgUbt27eXvHnzIlkFrm3SpEkmOIY+Y44gD6B2rTk+RwCnMQ46Ujr38UCEWziuHS7k9tBAshXGTkkZe708pgJUIO0rQCDZ/8fQCiKjtzgmkOz/48YeUoE7VgECyXfs0PLCbqICBJJvopisigpQASpABagAFaACVIAKUAEqQAWoABWgAlSAClABKkAFqEDqKEAg2aUzgeTUmW+OrezZs0c2btyY6FxqwMiHDh2SKVOmuLUNN+Fs2bIpKBPgMX7gYLtv3z4F8iJz9uzZFYwJ0NJbAPoF5Hru3DmP2QCgAoB0cty1F1q+fLmCiK0OvvY8+higJto+fPiwTkq0BUj8+OOPq+u1ngQg+vXXXwvqQACABQhrD4zdvHnzVD64CbZp00a0MzDyrly5UpYtWyZVqlRReqVPn96tCiuQDJfmBx54QMqVK6fAZoDSuF645wKMhbMxoFRrACQaP368CZR7gmStbs6eXLC1tqjfDqajnV9//VXB6Nb2rfsYvyZNmkiJEiWsyWrezJgxw0wDVI0xt4bWCWnQ4dVXX3W7VjgF4zoRgHrh0gwtMU5wTPZl7liBZLQBGBkAuIaZ4fwLkBcwcvPmzR3Bbiv8jc9AB8NJGHV5ClzXihUr1OcGMD7mrQ44Uv7www/KcbhRo0ZSunRpfcrcAgSHAzbgfqcAGA6QH4C+NVI69zVcjHmGz6TVIVOPASB0jKG+7pSUsfaV+1SACtwZChBI9v9xxLMcYd1inw7J/j927CEVuCMVIJB8Rw4rL+omK0Ag+SYLyuqoABWgAlSAClABKkAFqAAVoAJUgApQASpABagAFaACVIAK3HoFCCS7NCaQfOvnmmMLgHzXr1+f6NythpHhmAsHV+2MnKgD1xIAJsJ5FT+ZM2dWIClg0pw5cyZyufVUx9mzZ2Xu3LkKDNYQDPLCLbdWrVpSsWJFn+sCHD1mzBjp3LlzIkdjp/YBcgIi3blzp3Iy1nkAtcItuY7hcGuFfAFe//nnn8otGECwDsCvcB7GT9myZXWy2gK2nj9/vgJvcU2AhwG7AvY+efKkgl6LFSvmVkYfWIFkgNEA03ft2iUApaEbnKeLFy8ugMTtMDNg17179wpuYjpwLQBb4QaNfqxbt07g6nv06FGdRW0LFiyowGE47sLVeOvWrQK42jo+GGf0u3LlymbZNWvWKCAcr3O3BiBnwL1ZsmQxkwELw00Yc9wK1IaHh6u+NWjQQMHu0M7ePzgA33vvvYLPgQ44aQPuRUCLMmXKCEBeuy46v31rBZJxXdB10aJFJmQPt+JcuXIpaNgK4qIeQOXQB1CuNTBOuHZoBIjbKXBtmP9RUVFqXAHxA1rH2KHvzZo1U4C/U1mk4TOKOYx69PhgngH8rl+/vkcYO7lzH21hLgE8R7/gwAw9ACBDO4D9+KzCGRvt60hJGV2WWypABe4cBQgk+/9Y6meIdYt9Asn+P3bsIRW4IxUgkHxHDisv6iYrQCD5JgvK6qgAFaACVIAKUAEqQAWoABWgAlSAClABKkAFqAAVoAJUgArcegUIJLs0JpB86+daohb279+vgFH7iVsNI9vbS61jOM/CMTk2Nlbg7ApoF2BwcuPMmTNu4Ksv5QHbAOwEZAk3WbRvdTL2pY6k8sCVFuAmoFWAxIA5cY3ewgokP/vss6pfAFfxg37anW+91ZWa59A/XGtYWJgCcQGsp0ZAY0DeAOKtILkvbduBZDgLY05iXiQkJCjw1henZV/acsoDwBzzH9rBgRzzA/PE1wAwjWuA1ijv62cnOXMfOqBeuB8DaMZnTYPxmItOn5mUlPH1mpmPClCBtKMAgWT/HysriIze4phAsv+PG3tIBe5YBQgk37FDywu7iQoQSL6JYrIqKkAFqAAVoAJUgApQASpABagAFaACVIAKUAEqQAWoABWgAqmjAIFkl84EklNnvpmtHDhwQNauXWse6507FUbW18etuwJOQLJ7Dh7dLAWcgOSbVTfroQJUgAr82xUgkOz/M4BAsv+PEXtIBf5VChBI/lcNNy82hQoQSE6hcCxGBagAFaACVIAKUAEqQAWoABWgAlSAClABKkAFqAAVoAJU4PYpQCDZpT2B5FScgwcPHpQ1a9YkapEwciJJ7vgEAsmpN8QEklNPa7ZEBajAv08BAsn+P+YEkv1/jNhDZwXwtofdu3dLsWLFnDMwNW0qcAcDybFx6SQ05Krx5hHPQ+NLHs+leeZfowCB5H/NUPNCqQAVoAJUgApQASpABagAFaACVIAKUAEqQAWoABWgAlTgzlGAQLJrLAkkp9KcPnTokPz555+JWiOMnEiSf0UCgeTUG2YCyamnNVuiAlTg36cAgWT/H3MCyf4/RreqhzNmzJDo6GiP1VeuXFkqVqwof/31lyxbtsxjPpzInz+/NGrUyC3PpUuXZMKECW5p+uCee+6RBg0a6EOft+fPn1f/Zlq+fLmsWLFCLl++LL/99pvP5ZkxDSjgI5B86nSAjByTWd5/+7SkT+//17VocZjMnBMukVmuyHtvRUlExiuJOu0pT/TZ9LJsRWii/PaEEAN2zhRxRf1EGNscOS5LcIar9mx+d7xpc7Ac/F9gkv16pMn5JPPoDAt+CZOEBC/k97WMDevHyuKloUnmfbBBrEct/1gZKqejnCdhtaoXZNWfIbpbKd4GBl6Vhx6MvV7eAiTHxsbK22+/LXjbVrdu3aRWrVrX8/nR3smTJ2XWrFlJ9ihz5szy+OOPJ8p3/Phx+fbbb2XXrl2yb98+yZIli5QqVUrKlCkjtWvXlrvuuktGjRolISEh8vTTTycq75Rw7NgxWbdunfz9999qgQsWuWTIkEGKFCkiRYsWVT9Vq1aVTJkyORVPURq+d82fP18WLFgge/fulZiYGPUMLV++vLzwwguC609urF+/XubOnSu9evXyuSjGA3932rlzp+BvItmzZ5eSJUtK69at1X5SFeE68CzGMxh/QE9ISJB8+fLJgw8+KDVr1jQWXiT9+bt48aLqN94Sd+TIETV2+H7QsmXLm7rY6PTp0zJt2jTZsWOHwAgiZ86cUrhwYdVXfM/xJTDvZs+eLfv371ffnfLkySNVqlSR5s2bS3BwsC9VuOVJyZjhOxu+u2Ge4m/IWJiF71/lypVTnxnMXQYVoAJUgApQASpABagAFaACVIAKUAEqQAWoABWgAv6tAIFk1/gQSE6FeYrJtnr16kQtEUZOJMm/JmH69OnqPzpwwc8884zkypXrX3PtqX2h+PxNnjxZNYv/lGrVqlVqd4HtUQEqQAXuWAUIJPv/0BJI9v8xulU93L59u4JrfvjhB7cmALe89957CsQC8AVYCnnx/dQOJsOd+I033pC7775bcufO7VYPQJmtW7eqf+eMGTNGwcPI0LFjR2natKkULFjQLX9SBwC4Fi9erPoAEBkBSOz3339PqijPpyUFfASSv/8xoyz4LUy6PBstlSpc9Psr7N4nm/xzMkD1s2PbGKlxf1yiPnvKk3A5nQFgBsre/UEyf1GYnI+9Dr8C+cuR7bKEhV6VE6fTu50LDLgqpYvHS6XyF6R8uUuSMTwxBJ2oE7chIepMegMSDJL/rg6RdVvcwb578sVLgzpxkjtXguTPl+Bz7/53OFBOGHr/sSpENm5zr7NQ/nipXztOct512agzXvbsDZKVBjS8fFWoWPHtyMxXpF3rGAN0vWzkTfAIvv9zPECOHA2UWT+Fy5F/XGA12mhsQMxly1xU17bvgDF2v4bJ2XPXxy69MXi5cyZIkI3FjjcuM9YY45jz6QRjjwgygOSRg09cv34LkAwgFCAyolChQgpYvJ7Rf/awSAULXAAT49/fe/bscetc48aNFSAKqBVQqjXmzJkjgwYNEixKAUCKv5WlN1YiACQGFAuwNTIyUk6dOqXAzK5du1qLJ9rHMwR9+Prrr1VZgLiAOgEFX7hwQTZt2iQbNmxQ8Crqfeedd6Rhw4aJ6kluAqBq9A3PRqfAM/eLL75QYLDTeXva5s2b5auvvlILdQBk4znpS+B5PmzYMPXcfuuttxSAjfEYMmSIgovff/99efjhhz1WBZgZz37AzPh7VZMmTRSA/PPPP8v48eOlbNmyqi5vIPfGjRuVFhi7N998UwB+Axz+5ptv1LMeYDR0xzjfSEycOFFGjx5tfKYsQP+1CgFNo53XXnvNI1QM0Lpv374yb948BfvjO0yOHDnU2+0GDx6sIOqhQ4dK8eLFfepmSsds6tSpar5isRg0x+cE8wnfy8aOHav69NFHH6l57FNHmIkKUAEqQAWoABWgAlSAClABKkAFqAAVoAJUgApQgduiAIFkl+wEklNh+uEP2/hPD2sQRraq8e/aBxiE/xzCf8wgmjVr5vN/SP27lLo5VwtncsAtiGzZskmnTp1uTsWshQpQASpABYRAsv9PAgLJ/j9Gt7qH/fv3FyuU3K9fv0Rux+gDYLKXXnpJQVq6T8OHD5dq1arpQ49buD7ChRKula+++qrHfL6cADTVpk0blZVAsi+KpbE8PgDJ8Ybz7dsfZFPwbZGC8fLum1F+f5EaoA4Jvip93j8tkVldUL21477k+cWAsGcYMLaO1s3OSSMDfNURG5dOThog7p59QbLg13A5He2C+QKMzUP1z8vDTWIFoLI/hvHPYHm/dzYDrHaB20BxB/U7qRyfU9pfrF1478PsbjoM/Oiko0P1d7MyykLDyVpHrWpx8vSTMfowye3qNSEyemImyW6Mbc93TytI3FrovwYcPW7KdafdJ1vGSD0DjPYUgJE3b8kg4yZnMv42kE5Gf378elYLkAyAVbvRBwUZYPd//+uTO+31ylJ/Dy6z1oXAWNwyZcoUx44AXP3Pf/6j3GABrj755JNu+QDHfvnllwJoGVGvXj359NNP3fJYDwBFAzAFTAtH2e7du6tFMtY82MeimhEjRpjawnkai3UAo6YkAMTibw2oF1u4OwN2xfXB2RluzYgCBQoI4FNvbrdYJAQQ2fo921cgGS7Tn3/+uboOuO1GRESYl4M+wp0ajsk9evRQf4syT17bATTcoUMH5WiM57ndjRp9BzwOOB7zMjQ0sbs73IFfeeUViY+PVzAtAGZrAETG32gARX/44YfWU8nahyM3vtOEhYVJiRIlFMQLJ3Hoh+80OgAla6hfp2GL78iYc4DeH3jgAQVZW52fMYdw/bhGLLyCq7anuJEx+/HHH9WcBRQ/YMCARE0sXbpUAJYDnof++LsWgwpQASpABagAFaACVIAKUAEqQAWoABWgAlSAClAB/1SAQLJrXAgkp8L8xGsSrUEY2arGv2cf/9mBGw9eIwk3Hh14ZSdeBYn/+IL73I06xOh6/+3bs2fPKr3xnzfY14H/DMMrWvEfenAoYlABKkAFqEDKFbCCEimvJeUl8QzFa5TxA7AjMDBQAgICzC2gAv1cxVZDBvattQf6nDUtLe8TSE7Lo3dz+g5HSUA/AIMQ3qBhwDft27c3GwY0pOFgM9Fh56mnnpIzZ84IoBr9mXPI5nMSXgcfFxdHh2SfFUtZRmiMN/nUqVMnZRWkpJQPQPIfK0Nl/NTrEN0Hb0VJwQKu+ZuSJlOrzNFjgQYwdlmCM3gGgpPKs31HBhk88vq/Ubq9GiVFizhfO4DWJctCZd4vYYbbrgtMzmM48v6nw1m5O6/vbsOppQ/aGfF1ZtlwzdE4a6Yr8pkBD99oDP0yi2zdmUFVA1j4496nHKu8YEC/3Xq5QHdkgFZ9up92zOuU+OvvYTJ9dkZ5pk2M1KyRGDQ+9L9A6f1ppFm0szEOlSu5L0w3T1p2lq4IlYkzImTU0OPG/fPaCQuQDLgUkCkC33NWrVp1LZN/b6pXr25CoY888oj06tUrUYcB7wJcPnjwoHKg1W82SpTRSNCLa8qUKaNcdp3y4O8sXbp0Uc87wJtwuEV+bwEXfjgGAx4G6Amtc+bM6a2I4zmAsTAi6NmzpwAct0Z0dLR6th49elQle1vsA4AZfzfC3w2xuFrr5guQjAU97dq1U9cC0NfJBfmXX35R1wuId9q0aZInTx5rVxXAvXDhQsHbFAA0Y85ZA2P2xBNPyN69ex3dqrHwHtDz4cOHxdO4A4hu3ry56ifgckDmyQ0AwM8++6zUr19f9RnXowPzCbpt2bJFJeG7PdyyK1WqpLOoLRZrYV7hewv28fc4e+h5B4dkzA38O8MeNzJmAMDxVgl8RwNs7Al6xnc3XDO+o73++uv2LvCYClABKkAFqAAVoAJUgApQASpABagAFaACVIAKUAE/UYBAsmsgCCSnwoTcYfzReK/x2ko4k8BFxOmP3KnQDTZxmxXAfzBs27bNay/gouPNKcdrYZ50U+DQoUPqla5uiZYD/GcjXoPJoAJUgApQgZQrQCA55dqlVkkCyamltH+3A0BKv+odUNNPP/3kERwGzASHSQQcBydNmuT14gAiP/jgg+oV43BYvhmB+gDpYNHBb7/9djOqZB0OCmBe4DsxXmefauEDkNx7QKT872igaKy3mgF1djLgzn9D7NsfJP0GZzUv1RuQrDOdjUkvnw7NKsdOuEC5TBmvSI+upyVrlis6i99sx32bSf67NkT1J/ddl6XvB87wcHI6PHp8Jlm9wVVn/jwJyr3YU/l5P4fLrPnh5un3Xo+SwoWcgW8z07Wdz4ZlkcMGdD7wo1OOLtQnTwXIu4YDtA5fgeTzsenljfeyy/CBJyRD0LVZbwGS4SwMsBaRO3dumTt3rm7Cr7eNGzc23LxdwDlcj+FEaw+Ao4899phKbtCggXz88cf2LOYxQFg4KQPqxVvI7HHkyBG14AbPJAQgY123Pa/9WEOnSIeb87hx4yQkxDWn7HmdjrEAGiA0XHQ9lYPDc58+fVTxN954Q4HDTnVZ07BoBAt0EL4AyXAlXrlypVqoh2enU1/gHAyt4ZYMELZ3795mkwB4O3bsqI6hNX6cAvrAtRqgL1yKrX/j/OabbwTANQIQ8L333utUhXojAxbEYE5Dm+QuCARwDOfid99917F+jAlgd3yXQNhdkgFOY47GxMQoUBku1k6xefNmBT7jHJ6ZeMOZt0jumMEpGou/EIDj8WYIpwDwDq3Lly+vXKed8jCNClABKkAFqAAVoAJUgApQASpABagAFaACVIAKUIHbrwCBZNcYEEi+/XORPaACVIAKUAEqQAWoQJpUgECy/w8bgWT/H6PU6OGmTZvkueeeM5saNmyY1KhRwzy27sycOdMNCgMMB0DLU+hXjcNJEYsvb0YQSL4ZKnqvY/bs2fLRRx8J3K39CUjevSdIPh6WVZo1Oi9zFrrA0YD0Ip/0PilZMvsfYOtd5eSf3X8gSD4alDwgGa1EnUkvvT+JlHPXnJILGA7J7xrO0kGBGutOfl9uRQkrkJxch2JP/RnzTSZZtd4Fj+K6e3RzAYhO+WPj0sk7PbLLxUvp1OnK5S5K507RTlnd0qLOBEjXntmkYZ1Yefyxc27n9EFiIDnacEi+qE973a7fGCzly1403FevZbMAyVZgsWLFijJ69GivdfnLyYceekhOnDihuoOFLoBw7bFo0SITKAWICfdeuyOvtQwgW4DGgG7tbvxdu3ZVQCfyA97Fs8nuVGyty7oPyLlFixbKsRfpgIvhvutrbN26VUHAntxtUQ/elIX7LeKTTz5Rzr7qwMsvQNhVq1ZVOZICkgHeArBFmVq1apkQu1P1WisAvdAcW8Rnn30m06dPV/tYjIRFSU6xe/du5ZKMc3ZwGe7JOI/xxPjax0nXh3bQHgIwsN29WOdz2gKqRjtw1NZ9d8pnbcMO8gL+hQ4Ib4A4vkc3bNhQvQUCcDUga2+RnDFDPXBdhgs6wpsO3bt3FzhXwzl7xIgRKj9/UQEqQAWoABWgAlSAClABKkAFqAAVoAJUgApQASrgfwoQSHaNCYFk/5ub7BEVoAJUgApQASpABdKEAgSS/X+YCCT7/xilVg/hFLh//37VHF6PjtekO8W5c+ekUaNGAvdARJs2bUz3Pqf8zz//vJw/f14ALt+sIJB8s5R0rmft2rXy6quvCqAufwOSR43LbLjQBsiH752WXv0j5cg/geoimjaIlRbNnEFQ56tMm6kpBZJxtYuXhcrkmRHmhXdsGyM17o8zj/1h53YDydBg6ncR8ttyF4CZ3uCS+/c8JdmzXfYqz3wDjv9hXrj0ff+05M6V4Jj3RoDkRBVagORdu3YJHIYRTZo0MV12E5XxswS2aCY4AABAAElEQVRfgGQAxt26dTN7jucSnk+eIiEhQVAvQNPIyEgz286dO6V9+/bmMRxn8exKTlhdkvF2M7j2YnuzYvny5Qp8hfM/nG49OeFa20sO3Pr999/LgAEDVHEsQHrxxRetVbntA6rVYHvfvn2VpmgL8wuu1oCI//jjD49AN8ahevXqCn7GW6dwPQh8x8B3DUSFChWUY7Q6cPiF51Dnzp3VmUcffVQ++OADh1zOSfj3B94+hu8f3sLqbowFU1g4pQNgO2BsBNyeNfitz1u3gK7Xr1+vXJzxhomcOXNaT7vtJ2fMUNC64OD++++XL774wq0+HOC7fMuWLQWO4i+88EKS152oAiZQASpABagAFaACVIAKUAEqQAWoABWgAlSAClABKpBqChBIdklNIDnVphwbogJUgApQASpABajAnaUAgWT/H08Cyf4/RqnVwwkTJpigCxwoFyxYIFmzXndi1f0AXAwgWAPJgKZ+/vlnyZAhg85ibo8cOSLNmzdXDrtWGMzMYOzAtRHukQDGMmbMqNyW4fIZYFqBWnO79pMDJMOBE86TgJNOnTolefPmVQ6CpUqVSlyxLQWumID9/vrrL/Vqe7hb4id79uy2nIkP0e6aNWsUwKXPHjhwQOBGHRUVJWi/SpUq+pS5BdQELRDQoXjx4h4dJHWh2NhYVQY6xsfHqz6ibEpguWXLlilHUsDIiDp16pivoMcYV6tWTTdrbgFYATRDv7GFUyd0KlKkiISHu1yMzcxJ7Vw94DHHmej0hgttdnmyVYzUqRnnBtiGh12Rz/qekgxBvjv+or5Vf4bIMQNqzpDhquTJnSAlil0y5nY6Y55clsAA57oM9kuOnwgQwMH7DwbK5cvp5K4cl+XeihckaxbPLs2GTLJ1W7Axl65KsaIufe0Xm1SeGwGSUffbH2SXs+cMS2kj7skXL93fibJ3wTw+dTpA/ve/QDlo/ECfu/MkyN13J0jmTJ6v0Sxs7CQYuhw+HCD7DJ0OGXWEhhoaG7DuvYYrcLBRn1P4A5B84mSAvN8nm+geNqgVJ08Yc85bdDfyR2S8Iu++6VnPlADJU2ZESPOHzwvmt1tYgGTck2vXrq1Ow7UX7r1pIXwBkg8fPqyeIfp6cD8ZNGiQVK5cWScl2v79998CCDYkxOWKjQyDBw92WxQDJ9ls2bIlKustAffGN99808zSu3dvadq0qXl8oztDhgyRqVOnKmd6PON8ieTArZgXf/75p6o2qb7Pnz9fevbsqfI+8MADMnToUPXs0m9SyJMnjwKyvfUREDH+sI6Ayy+eeePGjVNwL9KaNWtmtoFjexw/ftx8fuK7ARyLrW7KeEbhu0dMTIyqKyXPOzynMQ8RcDnWwDbqrl+/vsTFuRZsADLOlSuXvYvmMaBtOG4j8EYB7XRtZrDsJGfMUOzMmTPq+vCcR+AzDpg8XTqXizvSoAOA7fz58wucq8PCwpDMoAJUgApQASpABagAFaACVIAKUAEqQAWoABWgAlTADxUgkOwaFALJfjg52SUqQAWoABWgAlSACqQFBQgk+/8oEUj2/zFKrR4CzAFcBVgGAfBKu25a+zB79mwFTFnT4BzpBFDBYRE/8+bNkxw5cliLKPfdjz76SJYsWSJly5ZVUBHgXzgrAmYFXFO6dGm3MvrAFyD58uXLCnyCMyMcnVEX/pH/3XffSXR0tNSoUUMAETm5UEKLXr16KVAajpAAkAEXb9y40YBPLys4CPoAkrIG4CVAa7jeVatWCaAt6AUXRmiE19Rbo3HjxqoPAIu2b9+uYCjA09YAtDx8+HCPgDYANpyHZoCQACUDXMqSJYu89dZbJmxlrdPT/t69e+X1118XuGCfPXtWZUOd+joB8E2cONGtOK6tR48eyqGxQYMGCpKCcyauNTg4WIFTmEdWkMytAvuBFyB59txwWbQsTAb1O6mA1gsGOAzAFlvEU4/HSO0HXACZvVr7MUBkuAVXNSDiGtUuGPMxnazbGCyL/3A54w422sgUYYNAjUrOnU8vYyZkEsCl95a/qNxw9+4Pkt9XhCqAuUHtOGnZ/Jyhg6tFwMu79wTJ2g0hsmZDsIKBWxtOzo0MR2cdvuTReW8ESEYd4ydmkj/WXAc1nRx9AWqP/TaT7DsYJPdXvqAA5B27guTvvRnkinE9Ne+7II+3jJFQA6z2FACQvzLcrLNkviJlS100gNqrsn5zsGzZkUEyhl+RJ1uek6pG3fbwByAZfRo5OrOs2xKsugd4+rO+JyXMAKqdYs/eIBkwNKs81+6s3G9o4ymSCyRfik8nr3bNLh9/eErp6FavBUhGOlyD8ZmFq+tjjz3mltVfD3wBktH3d999VxYtWmReBu4lAD7hBOu0EMbMaNlp3bq17Nu3T6UEBQUJvp9agU5LVo+7WJjSrl078zz6j2fIzQg8X7p27arcrWvWrOlzlcmBW616jxkzRjkUe2oIz7pOnTqp03fffbd6juFZ2q9fP5UGt2C4BnsLKwDdp08fBRfjuQ54FgGoVgPOTvXg+ykWwOCZiwAkjcUuOqyLqPDdBZB1csN6negvYF8EnIb15wgLtDBfvD3Dxo4dKyNHjlRlsQgLz0RPkZwx03VYQW6kYaEQNMXzGdcACBqw/ueff64WAuly3FIBKkAFqAAVoAJUgApQASpABagAFaACVIAKUAEq4H8KEEh2jQmBZP+bm+wRFaACVIAKUAEqQAXShAIEkv1/mAgk+/8YpWYPX3nlFVm5cqVqsnDhwuq19/b2AewAGgZ8qwGv++67T0aMGGHPKnBIBJRrB5fgfAigF6Dvp59+akJlgIDw6nO8Eh4OyePHj1euivaKkwKS4YTcrVs3VQ8AHbgG6pgzZ44CeXAMSBlQkzVw39Iw0eTJk91cEXG9HTt2VMAuwCj0vUyZMqo4XAzhwgmH42PHjqk0gFxt27ZVbQAgAlyMPzRMmzZN/vnnH5Xnk08+UdcKYBmQF/Khru+//17g9Il4+umn5dVXX1X7+heckAHDwXF51KhR5iviMS6Ak9APhCewXNfjtIU7ttYAUFrnzp2dsqnxAYRVoUIF5a4NAFmHdmzEcbly5ZSrqZPjts5vbj0AyXDbfeeDbFKl4kV50gCPdcBBFjAwIk/OBOn9/mkTBtZ57FvAsv0GZZWSxeLltRfPuJ2eOz9cfvw5XD4xINBskS4QTmfYuy9IQbZ5DafgF56NlpDg64CqFaRtXC9WWj16ThWbMy9cYuPSy2Kjj5ev8c12INmXPLoPNwok/3dViIybkklXJy89Fy0VDbBax7btGWSUASMjenWLksis1zU4eixQ+g/OKnEX0klWwyW5S6douadgvC5qblf8N9SAvTMKdGjW9Lw5HhjDXv0i5R/DgRi89ivPR0u5stfbRgVWHTGefbqfNutN6c6YbzLJqvUuCLtA3gTp0S3pOjVkrNts9cg5adzwOkSu07GdMDlC1m4KUaC8N4fu5ALJCxeFyXdzMspAA4YG2O0WNiAZgC4WM+B+V716dbesSR3AhVi7ryaV19N53A8zZ87s6bRjuhWQBej7xhtvOOaDi/4zzzwjcKy3BlyQASvj+eMtcG21atUys/ji7mtmtuzgvoxFFzrwXPnhhx/0YYq2+A6GRTJYVIKFOVik49N98lprvsKtdrh3ypQp6m0Enjptha9xX8ciE0DMX331lSqC59TAgQM9FVfpePZggQ4C3y0whoCQAV8jsGAGz0dvAedvOIAjvvnmG/N5i2MsGsLiH0TJkiUTLZZRJ5L4NX36dPnss8/U4hkA1xp43rBhgzz//POqNJyXFy9e7LUm6InnPwKfP3wOPYWvY2YtjzKY63CJ1oHvaFhshUVfdevWlXfeeSdZc0fXwy0VoAJUgApQASpABagAFaACVIAKUAEqQAWoABWgAqmrAIFkl94EklN33rE1KkAFqAAVoAJUgArcMQoQSPb/oSSQ7P9jlJo9tEKkaBewrtWlWLsGAnwBEIvXuCPgHIjXlefOnVsd4xdAWbgfAhp65JFHzHTsvPzyy8qBcObMmSaMrDMAYALIhChUqJB6/bjdBTMpIBkuvytWrFCAEkAla6DfeBW7BvDgMAx3YQTAt5YtWyq3Zjg5Aqi2B+5rqB+AEIBjAE1WEBf149XvcBmGAydeUw9QCe7COqANQF98/gCf4WfYsGFu+qEvbdq0kaioKAVua1dJXQdgbUDg0LBgwYI6WW0BzsF9GeA4+gZYqkCBAm55vB1YgWRAWXAitQfAdUBmcI9E/Rgre6B/6CcC4JR217Tnczv2ACSvNlx9Rxvuvn3eOy15cieYRQDJ9ugfaR6/0fmMlC51yTx22pn+fUb5dWmYtGsVI3VruTsqA5p9q3s26f5WlNyV4zqMCxfmD/pkUw7BH/c+JXbwFLBy/yFZVXPhYVdk2Mcn3ZoGdDxnYbhKswPJOqMveW4USN5uOBQPHplFN2k4FcdIPcPVGXE2Jr188FE2A6BOJx2eiJEHqrtrgzxbt2WQYV9nEaDYd2W7LL0NYDgoEEeuQP8Ae5cvfVFefiFaJ5vb+QvD5Id5Lmfxew0Y+UUDSraGvwDJ6FP/gVllr+ESjQCA/XFvLJRQh+YvuBi/+X525STdrs11UN7MYNmxA8n3Ge7c+e6+PpeRFQb1cOH+35FA2b4rgyrtC5CsXYRnzJjh+Fm0dCPRrtXJNtFJHxPwTMD9KjnhK5CMOnFPe++990yY1doO7i1oH67wTgHgGq61OipVqqQWcejj5GwBm1665Lq/wDkeDv8pCbj+/vbbb+r5Bnd8HXDsx/OlWbNmOsnr1le4Fc8RPJd0AKS2LtTR6Xp74MAB9SzUxwBhsfgE8DQCzxfA094Cbt2//PKLyoK5gTF6/PHHBU78iO7du0uLFi3UvqdfGFssMEJgARCcwHUAmsbCGTxrMTeS4yyt64ArNa4NC41eeuklnawcufGZQuDtDngmegvoiUVFiCJFiqhFR57y+zpm9vJ6ERKcoq0BJ2dozaACVIAKUAEqQAWoABWgAlSAClABKkAFqAAVoAJUIG0oQCDZNU4EktPGfGUvqQAVoAJUgApQASrgdwoQSPa7IUnUIQLJiST5VydcuHBBAPtqWNcOugAw/fbbb81XrgMoA/SKgLMxfnQAzoF7IYAkvEpcB+4LcPuFWyKAVnsAunnggQfM17QD1K1Ro4ZbNm9Asgaa4YipHQvdChsH+vXnkZGR6lX0eO05Qr9OPmfOnPLTTz8poFidsP2Ck+fy5ctVKpxJ4UhsDcBXe/bsUeXhLGkHqpEX4DOgLwTaypUrl9q3/gJspUEo6Ij+IgArA+S65557lGuktYzeB0gMl0eEk8Oyzue0tQLJ9nFFfgB5AMvwR5MmTZqYjtP2ujCWAMrOnj2rTgFgx9h6DQ9Acr/Psho6irzzWlSi4oO+yCI7/jZOGlGmxCV5vcuZRHmsCUNGZJFtf2WQ0sUvyRsvJc47aVqEgnSt4POMHzLKL0vCpI3hfNzQcP51isHDsyiItLwBRL9igNHWWP5HqEyYHqGSPAHJvuS5USAZ7tC9P70OcD9UP1ZaNne5OWsn4cjMl+WTPqdMZ2PrdWB/+NeZZeM2lxu21Q3a4Oul32eRst9oo1fX04lgW5QF7NzdALtjDOjWSQd/ApLXbQiWkeMzo9sqnn/qrNxX5YI+VFsNynu6XmtmO5CcMfyKhGS4DnMjrwKSY9MLQGcdgz46KZkNINotbA7JuE9OnDhROdLq+5lbfi8HaQFIRvcBcmKBw9ixY00oWF8W7o09e/Z0vL8A+MU9UIfPiyN0AcsWi1Rw39OxevVq5XCvj33d4jo2btyoXPDxxgB7DBgwwA0gtp/Xx77CrYCAcc/WAahVuwHrNOsWDv5NmzY1kwAiwx0ZEDUCgLd20Tcz2Xb69OkjeCMBAjA0rgkO04DLETiP54e3QDsAyhEAhFu1apUoOzTAoqjkBuYFvofg2Yu3Fli/pwDsBwCNwMKj2bNne60eemL+ITAXNYjtVMjXMXMqi7QPP/xQfWewnn/iiSeUwzjeLMGgAlSAClABKkAFqAAVoAJUgApQASpABagAFaACVMC/FSCQ7BofAsn+PU/ZOypABagAFaACVIAK+K0CBJL9dmjMjhFINqXgzjUFrBARAJ2FCxdKSEiIgsEefvhhKV68uAwZMkTl1u6COIA7MlySAQYBWAX0Va1aNQUhXatabQCGAQQCHOXJtffrr782IVbAvoB+reENSNbAWLdu3aR169bWYm77hw4dUiBSUJDLARXH2q2xatWq8uWXX7rltx4sWrRIwVFIQ3nAyXAK1vHkk0/Krl27FJCsX0+vz+mtdnHGMSCvzJmvg486j4YMcWx1tMTr4AGGQ19PrpCAirdu3aqqAgSs3ax13d62SQHJgLO0OyZgxmeffdZjdZ988onpqlm5cmUFtXnMjBMOQLKGcDt3iJbKlS4mKr5hU7CMGOvSDxhnn/dPS+5c7s6z1kITJkfI8tWhKumBqhfkScPZ1up4DKfg4OCrEnwNFj11OkDe6+1yR+7rpW4Auf8cD5BcOa87K+t2/7sqRMZNyaQOnUBcnPAlj9ZC19vt1SgpWiReHya53bffcDAe7HJyRuZmjc5Ls6bn5fiJAHm/r8vFu1SxS/Lmy+5AtbViK6gbGHBVRgw8oZyDNZwbYYC2Qwa4O0Rby8cnpJPo6PSS3XBYtoc/AcmAg983xv1klAvyy58nQXq+e9qty4DhYw2AuEc393S3TNcO7ECyp/mM7CdOBsg3kzPJX3uCxBeHZDi9jx49Wrm9OrXtLe3EiROCxSg3EnB5h2NwciI5DsnWenGvBtz6559/WpPVPu5FuCdZY/fu3QJgU4e3xSo6j6etfvbgPO75q1at8pTV53Qs2MA9dfjw4eo5i4J4HgAC1otQPFXmK9wK6NkK/8JxP3v27J6qlSNHjri5NGNx0ahRo9QzHoXsi5WcKrKCs3B8BrCrn8/ID8d8fE/wFni7wtGjR1UWXwBmb3XZz2GxzbZt29QCJXyvsYYVMIaTNJ6/3mLu3LnSu3dvlSVv3rymTk5lfB0zp7L4nOP5X7duXTX39GIf5MX3Fnw3s76xwakOplEBKkAFqAAVoAJUgApQASpABagAFaACVIAKUAEqcHsVIJDs0p9A8u2dh2ydClABKkAFqAAVoAJpVgECyf4/dASS/X+MUruH69atkxdeeMFsVkNAK1euVI7GVudG7XasM8NB+b777jNfdw6HYsBfOuCmDLdjvK6+Tp064ouTZ5UqVQRQkjU0FAZoSzs24jycg3EOAWinevXqat+XX3htOwBrRFKwFYBrvDpeQ3xwUyxUqJDZjC9AMtweATYjPAHJgKLh5oyYNGmSlChRQu0DpFq/fr2UK1dOuTeqRC+/AJ7BldrXSApIhnMkrhmRFFQGl2a4NSMALf76669q3+MvByAZkOp2w9H4kz4nFfhqLwtw9N1e2eR0tAscrX1/nDzVNsaezTzeuy9IBgzJKtqbNleOy9LKcAmuUC4x7IxCa9eHyFffZBLAzl8OPiFBgbqkWWWSO77Axr7kuVEgedPmYPlizHX4/RkDxq5ZI07WbwyWL8e50pPSD0Dxa92ymy6+GtKGs/SS/4ZKofzx8v7bUUlq4pTBn4Bk9G/R4jCZNus6aPu24ahdwnDWRgBUf/fDbNL+8Rip/UCcSvP2KzlAMuo5eixQevSP9AlIxj1kzJgxAmAxrURKgWR9fXCWxzPGCmXinN21/tSpU27ga7FixWTKlCm6Gp+3cHzHM0V/b8qRI4fpYO9zJV4y4hn73nvvyblzLsdyALwAeb2Fr3Ar8t1///3mmwdmzZol+fLl81i1HeKG0/+ECRMUlIxCGLu+fft6LI8T1gVL2qUf3y3wHQOBNxIAUPYWeM7q8U3uM91bvQCOAUxjwQzgXnvg+arf+AAnaeT3FtOnT5fPPvtMZSldurTSylN+X8fMWh5lsAgIjtNYGIa+w8X6/fffl02bNplZMcaDBg1yfCuDmYk7VIAKUAEqQAWoABWgAlSAClABKkAFqAAVoAJUgArcVgUIJLvkJ5B8W6chG6cCVIAKUAEqQAWoQNpVgECy/4+dBmusW+wDfgA0CgAH8CXAS7y2mnHnK4DxBwSlXQnvvfdegWMxwBd8pvEq8gwZMighME8Ax+hXzgMG7t+/v8D9F+68cGG0Ogfv37/ffOU63DwrVqyYIkE9AclwI37xxRdVnXAQLlWqlM/1w/0RPwiASBpG8lQBHJ737t2rTgNqql+/vpnVFyAZsJmGnHwBkq3Xo6+/c+fO0qlTJ7Pdm7VjBZIBkGmgWNdvhcqgWaVKlfSpRNuoqChp2LChmQ4gGWCyx7AByTHn0ss7PbJJWOhVudtwqPUUR44GyhnD2RgBYHjgR6ckPMwglT3EwkVhMnNORhNKRrbCBeLlqSdi5O687u38+FO4zP0lXLkofznohIcavSf7Ahv7kudGgeTFy0Jl8swIs7PaYXnu/HD58edwld688Xl5pMl5M4/TTs9+kXLkH5creJdno6VShYvy6dCssmtvkJQteUlee9Gzw7JTfTrN34DkCxfTGfMvu8RdAI4ubtcGzRb8FiaD+5+UEMNRO6lILpCM+uDQ3PX1KMmS2TaX0xVwaw7gP+4R2r3e7aSfHtwokIzLOnnypHLetbslA54FGIrAcwoLYGJjY9WxfSGLSvTh1+HDh6V58+ZmTiwI0QtGzMQb3Jk8ebI5hm3btpW33nrLa424NjjjIpICZ/GsPnbsmMoLIBtgtqfYvHmz6XyPhUPLli1TMCwWKCGg58CBAz0VV+kvvfSSrF69Wu3jO0H79u2lV69eArdlBK4N1+gt8BYALGRCTJw4UUqWLOktu0/n/v77b+nYsaNaYNWmTRvHMlaH6IiICFm8eLFjPp2IeaDfqoC3Fnj7HCZnzHT9enESvo9h4Zf+XoXv6Xj7gXUhAq4N2jOoABWgAlSAClABKkAFqAAVoAJUgApQASpABagAFfBPBQgku8aFQLJ/zk/2igpQASpABagAFaACfq8AgWS/HyLT6Y9Asv+PVWr2UMMvaDNdunTK7Q/gKwCyHj16uHVl5MiRMnbsWJUGUBlA1RNPPCEtW7Y0HYd1gRUrVihYGcfdu3eXFi1a6FPJ2mog1w6WwbUX7r0IgNHI52t8/PHHMnPmTJW9devW0q1bN69F4Tis73FwggSgrMMXINkKZiUHSI6LixMAT4jGjRsr10Td7s3aWoFkJ+gZ+uzbt081B90aNGjgtWm4imJhAwJOkoULF/ac3wYkzzMg2TnGT5UKFzyXMc4YHL2s3hBi5nms6Xlp0sg7VLthU7BMnhFhgswoHGAwza2anZOG9VzwItK+MhyF1xrOwojB/U5KpggbHKrOeP/lC2zsS54bBZKHf51ZNm5zXUumjFdkkHE9xkdcJk83oLs/QtVF1DPcfp80XH+9xdAvs8jWna6FCU+2jJF6tePk9feyy7nz6SX3XZel7wenvBX3eM7fgGR0dObsjPLz72Gqz8CS+7x/WnLlTFCwcPEi8dKh/Vl1LqlfKQGSzxqQfcbwK5LemJduYQOSDxw4INOmTUvyvuVWx20+uBlAMi4BgCfcdrFYRgfu/XgG6HjzzTcVVKuP4fgbHOz6HOi0pLZW11zkxUIN69sEkirvy3lA07Vr11bfzXy5vycHbsUzfOPGjaobSS0I0m9EQGYsOMHCE0DfXbp0UeXx5gI8+70FwNgtW7aoLFjUBJjW+n3B6dlirQ/PDP2WA3y3WLJkibkYypovOft4i0KHDh3Us1Nfi1N5QNBoG/oC/sWzPn2iD+H1ksOHD5dvvvlGJSS1oCk5Y4YK8Z8T+H4BPfQbK1RDll+AtYcNG6ZSMK/nzp0rkZGRlhzcpQJUgApQASpABagAFaACVIAKUAEqQAWoABWgAlTAXxQgkOwaCQLJ/jIj2Q8qQAWoABWgAlSACqQxBTSsd7u6DVgR/zGPH8AMgAoCAgLMLUBLDRhgi2OEfWvtvz5nTUvL+1YQGdeBY/wAmKBDcloe2RvrO+A2AMU68ubNK3CHdHLDRTpeu67nEmDTPXv2KDinTJkyugq13b59u+DV7Qi4JcI1MSXhCUgGkAYnZ0RyYTHAfNrxMSmHQ9QPAA4O0Ag4Ft53331qH79uJZCM+mvVqqXcPuEWCRDpZocVSIbj9HPPPefWxDvvvGM6RmrnS7cMtgMNHuI+CyhdO2zbsrkOLUCycRuSbj2zS+GC8dK5U7RjdmvikBFZZNtfLkg2a6Yr8nHvk8Y935oj8T6cb+fMC5ffloXJFQNq1qEhWxxPmhYhS/7rgnXfefmMFC/mgqt1Xl+2vsDGvuS5ESAZbr+vv5tdEi67nnX1a8ZJ29Yu8Pi3JaEy9QeXc3KF0hfl5Re86z3mm0yyar0LAH+ryxkpWeKSfNA3mxw7EaCg7hGGk3RggEVQX0Qy8vgjkBx1Jr1065XdnB+1qsVJtSoX5NMvssp7hntx4ULxPl1dSoBkjxXbgOSzZ8/KDz/8oGBLj2U8nIC7MpzMbyTgtpvctyjo+wLabdeunbzxxhtuXQA8u3z5cuVk63bC4SAmJkY9swCcIgoVKiRYoKJj1qxZ0q9fP32oFtloB2UzMYkd6GuFnAGg2p9xSVTh0+mmTZvKP//8I6+99po89dRTXsskB27t3bu3AlVRIRz68SYET4FnG55xCA3Y4q0JjzzyiErLlSuX/PTTT2rf06/HHntMDh48qO73GiZGmQ8//FAVwXWiT57ixIkTahEUzus3NXjK60v6xYsX1bXgufnuu+8mWQT6wCkZMWfOHMmTJ4/HMphbmGMIp+9J1oLJGTOUmzRpknJBxr63fsBxeunSpcgmn332mdStW1ft8xcVoAJUgApQASpABagAFaACVIAKUAEqQAWoABWgAv6lAIFk13gQSPavecneUAEqQAWoABWgAlQgzShAINn/h0pDpNYtgWT/H7fU6KGGanVbuXPnVjCME5QPaHXNmjU6qwLTZs+ebR7rnXPnzkkd41XvCABNALy8wqlGPrw6HqCb1e3PE5C8a9cuBQOjfry+Hn1Iqv5Dhw5Jvnz5VP9xHQiARwB/vIX1dfQAeHPkyGFm19pBK6suZgZjJ6UOyagD8N5ff/2lFlQApAZ85y0AtwE4LFGihLds5jkrkAwXyWeffdY8h52vvvpKxowZo9IAqOFaPAXuJ3CajI+Pl/z586sx95RXpVuA5D/XhsiobzPJmy+ekVIlk4aAt2zNIMNGZTGrf/6ps3KfAY7aA2Bo9myX3ZKP/RMgYyZklv3/C1TpIcFX5dM+JyUs9KosWhwm02ZlVOmVy11MEo6+FJ/OAMbTSZbM152UfYGNfclzI0Dy9O8zyq9LXU6/uK5+PU5JhOGSjNhpgNwDDaAbkSPysgz40LvD8eDhWWT7Lhf8PbDvSXWtIwz35Q3X3JfbtYqRurXiVH2efgH0zZjxqgQFXgeXbwRIhkv2519lkcceOSf57k4wm7XC0wXyJkiPbi5o1czgw461DvS3VLF4OXEqvfTp7ntdNwok7zAcqXfuCpIWzQznbxuQjEsA6KgXWflwSWYWfMbhfnsjgUUKbdq0SVYVSQHJgFnhtg+I1Xr/99QIFqNol2Qsovnxxx/NrHCXxcKZ48ePq7SGDRvKgAEDzPNJ7UBbuNTu379fZb0ZgKynNps0aaL6mRTYivLJgVs3bdpkLi7BwiC4/HuKoUOHKhAW53Gvr1Chgsqq5wqebYBfw8Jc9xN7PefPn1fPetz/q1atKnjrAgIO0ACRAZCXKlVKvv32W3tR8xgwuobUnRbGmBl92IFOb7/9tuovXIZ9+ZyMGzfO7Dfch2vUqOGxJYDjO3bskJCQEPn999+9fu9IzpihQfQX30fCw8NN4NipI6tWrZKXX35ZncLY6sVfTnmZRgWoABWgAlSAClABKkAFqAAVoAJUgApQASpABajA7VOAQLJLewLJt28OsmUqQAWoABWgAlSACqRpBQgk+//wWUFk9BbH+AEwQYdk/x+/W9lDgEKff/652QSgVE+vOLe6KaLAM88849HV0uo6CNgIcK2ngNNyt27dZMqUKW6AjycgGQ6IcDfG/EXAMbBt27aeqpfp06ereQ6AODo6WrkxAlxDjB07VsqXL++xLOC0vXv3OsLXtxpI1oASOge35MGDB3vsJwCwTp06KSfKokWLesxnPWEFkrU7pvX8H3/8odw7kQZIauHChQrEsubR+2fOnJEGDRqow+bNm0uPHj30KeetBUju+0mknDfAXsCx1wzsnctcSwWQCpfef066bJELGlDqB10TA6PDRmaRLs9Hu4GwqAIg8XADqtWgrXb+3b4jgww2yiDgLdzTqNMKvKoT136hD6PGZZYmjc675fEFNvYlT0qB5L8MeHigARFr9LfDEzHyQPXrwPD52PTy9gfZJD4BVyhJOv/26h8ph48Fyl0G2N2/lwtenjUno8xb5AIU4VDdz0jPEKRbvCbQtQ3aGzEqs7z+0hm3PDcCJEO/abMiZOiAEwZweL09K0ycUiD54KFA6fNZ5PVKjb02j56ThvVi3dK8HdwIkAxX6w8NzWvcFycPPWi06QAke2vb2zkNmXrLk9S5WwEkYxEDINBWrVpJ165dk+qCug/iWYHAPefjjz92KwOoE/dOBIBUOCgXLFhQHSf1y+q+j7KAVW+FO7JetINFMng+JbWgJrlwa8eOHWXLli3q2YZnnKfAGwbgnI3FLuiHXoi0cuVK89kOyBiwsVNgIY5e4INx0M8A5B0+fLh6gwKubdGiRR6hZr3wJSgoSMHlWGSU0sC4A4JGX/CmFE8Bh22AvYDC4ToOeDouLk4tyvH0/QffGfAcTkhIkNatW6vvLJ7qR3pyxwzPdz2vly1b5lEvuDlr12s4Njdq1MhbN3iOClABKkAFqAAVoAJUgApQASpABagAFaACVIAKUIHbpACBZJfwBJJv0wRks1SAClABKkAFqAAVSOsKEEj2/xEkkOz/Y3S7eojXswNu0XNk5syZHuEtADmAhAFTISZOnCh4LbpTfP/996YzZUREhHzyySeOUBPAIDj8tW/fXrlkWuvyBCQjz6effqpAM+wHBgaqV9MDLrLH4sWLFRgFh2EATwirI6I3eBaOw3AGBlg0aNAgqV27tlv1vgDJVjdPQFlZslx39tWVAfhCnxAAxOEoiQAIDedQDV57ArtxHucAfuEV7r6GFTp77LHHBH21h9UhGrCXk8Yoo2F1OGliDiUJlV0Dknf9nUE+/SKLPPLgeWn+sOEI62PMXxguP8wLN3N3ezVKihaJN4+xM8iot2GdOClX9qJbOg7+3h0kn3yeVaX3ePu0FMifYOgsAjj60FGXe3KWiCvymuHabIeSASN//2NGA2RLL88+fdat7j9Whsr4qREqrZXh4Nu4oQGV2sKXPLv3BMnHw1z9Q3Gn67NVK2vWhci4yREmbPxY0/MKmLbns2pX0wBfn2kXY8+ijqPOBEjXntkU3PxKp2gpb7hGI06dDpCeBjR78ZILai5SMF5e6Rwt4WGuBQIqk/HrwsV08sVXmaV61QtS4353B+vR4zPJ6g0hKmuenAk+OxCjT30+ySoli8bLf56N1k2p7VdjMsvazcFqP2+uBOn9fmJI3a2Ah4PPhmWRv/a4XKEDA67KoH6nEl2bh6Iq+Z/jAdL9o2xmls4doqVypcRz0Mxg2fnxp3CZ+0u46DlpB5JxDz558qRyd7cU8+tdQKpYsIDAAg8n6BjPIDyLALHed999Xq8H7rCASRGoC3Xao3fv3jJ37lyVDJfk/v37m7CtPa8+hrZ4DuG+i3jzzTdNJ36d52ZtcZ/X9319v/dWd3LhVrj3QhsAxgC08eYDe+B669evr0Dcvn37qoU61jx49uzevVt9P+jZs6f1lLkP2HnkyJFSoEAB+e6779wciTFP8fwEcI7xAPTrFBqUh7P1Bx984JRFtm/fruZQtWrV3NqwZsbCKvQXz2r9rLee1/u4brgov/766+ZbB/T3Cbvjti6D7caNG9WiH4DOs2bNSvIzmNwxs8Lwo0ePlooVK1qbN/e3bdumFoMhAf0A1M6gAlSAClABKkAFqAAVoAJUgApQASpABagAFaACVMD/FCCQ7BoTAsn+NzfZIypABagAFaACVIAKpAkFCCT7/zBp2NS6xT6ACTok+//43eoewhV58+bNSb5aHf3Qrr158uRRoJOnvgFCatGihRw7dkxlgdskYK86depIsWLFJCoqSv7880/1mvgSJUoowFi7M+o64ZoJN+Tg4GCBW6818Kr4li1bKjgP6Sj70EMPSeXKlaVIkSICF8Fff/1Vvfocr6K3ulzC4RAwMcAzgEsAqvSr6q1toBzcG6tXr+7mIq3zAOI9ePCgOvTkaGiF5zxBRkOGDJHJkyereuxulFagGRmgH9rF9eA6du7cqTQE2D1hwgTJnDmzqseXX4cPHxYA2QiMyaRJkxTshbrWrVsnAPnwB5M2bdqocQDUBpAua9broKxuBy6ZcMt85ZVXTFhKn3PcXgOSBwzKKnsOBMk7L5+R4sVcrtWO+W2JRwxouOeA6062pYyybxp1WANAcrzhhtz19SjjuqxnRHb9HWSA0FklNOSqDBlwUgCeIvbtD5L+g7OaDsMhwVel1v1xUqRQvGTNckWOHguQRUvCJDYunfR897SEhbo7A//yW5jMMGBlRJMGsfJYMxe8rxKu/fIlz4ZNwTJi7PWxtALB1roAR8PZeemKUFm/1QXjos+tm5+T2g9cd0a2lrl82fgcG+A1nI9x3W8buhUp7A5zI/9PC8JltvFTpsQleb2Lu7YLDYfk7wynZB05s1+WapUvKJ0CjDr3HwySnw0tCheIl5decAeHUQZjs8OA0RFwWf7so5Nq39svjM0Xhtvy2XMGCP7kWalezR1y/mRIVvl7n2vRQcbwK4aDctJ1OrW3eUuwfD7apX3VChcM8NkdOncqY02zw+Qd28YYQLbzWOhycEae8X1G+d0YR4Dd6LtxS3NzSMa95rnnnlNgJj6TgCr9PXCPuv/++80FLwBgsTjFHhpKxaKK9957T4Gs9jw4xnMKTvD47gJn+1GjRjk64QI6xb1zyZIlqhq0++GHH0poaKg6tv86fvy4wP0ZsCeeVXAY1s6/9rzejuH2D7g3R44c6nnn5L6/b98+dQ14wwAW4/gScPGtV6+eyor7L55t3gL64F68evVqpWWvXr0SZddANJ6Z2Md1WwNlsdAFMXXqVAUdW8/jOQFXazyLhw0bJoCF7aGfoQUNh2r7GxCQF21g0Uv27NnVs8VpIYvV8RrguhMcjQU9eFZjwQy+LzgFvvNCR8yhXLlymYuAkBfjj88WoHjMk4cfftitCpSFm7SGkjt37ux23ukguWOGtxx06NBBfS+pUqWK+l7iVO8XX3yhnvXoI/rKoAJUgApQASpABagAFaACVIAKUAEqQAWoABWgAlTAPxUgkOwaFwLJ/jk/2SsqQAWoABWgAlSACvi9AgSS/X6ITBiIQLL/j9Xt6CFe1Q5nXQBucEX0FoCIAY8BpHr11Ve9ZZUdO3YooAlOiZ6iUqVKCmayg2KbNm1SgJAuhz4WLlxYH6ot4CDAaydOnHBL1weZMmVScBjAZnsA7nv33Xdl165dCrAFzAvIWgeuEw6KAJXxWnQ7hIs24f4I4A4BIMveDgAjuELiFfIIQEyA6ewB0GnDhg0qGaA0nDl1wFkUx4CoPEXOnDmVs+g999zjKYtjOqA1vO4dcDgCYwGYG5oAYNPOi4DBcYy+ALADwA1wUId2nG7Xrp2aE3CQTCri4g4q4HXh4jCV9eGG5+XRR3x3SN6zN0gGDHUHo59pEyMPVI9zgZxGrRp6rVrhonQyXGo1bweI92sD9l1nuOm+ZDj/Vrjm/Kv7vGR5qEz7IaMAEnWKu3MnSBej3F05DLLXFqh3jQETI4oXviTvvOYO8iI9qTzxCemMPJlk47brYB1ciBvVj5WgwKsSfTZATkell6gz6WXHrgxywnAsRgQYPGGdGnHySJPzAiDXW8DF9+txmeXgkUCJMPJ2fztKsme7fj07/8ogQw1342IGqPx8h7MSkdG9PmPqyMSpmWT5apfLsVNblQ1dOxoO0sEZ3KHtw0abfT/L6qZvHWPcihptAWY2KFwDgE8ncRdc2xMnA2SX4Rh9/NT1eTWw70nJkvl6nw4eCpR+gyLl8vUk6WI4KFcyxj65gfnRw3A4PnYiQN5+6YyUKO47KA/Y+9spmeSPNdd1yWXMk5oGkJzJcNwODBRjHl6VS4a79PnY9BIbm04OHAqSnYZjt3acxnw13Z/TFTC7jwUNX3/9tTrG52/p0qVenWDNgrdxZ8aMGWqxie5CeHi4AlPhRGuNAQMGCFz1dWChBO6dcODHswH3KriwDx06VADCojz0cAJYdR0oA0gViyhwn8aiC8CvZcuWFTwbELiPr127VrAoBPUiT/fu3aV06dK6mmRtAe7CoVcHFrMAPMZ1YHEO7vM//vijgp0BavsaCxcuVP3S+VGHXUN9Tm+xKAjXArdkPMtwf8bCHXwPhMM00uBsDJdjvMXAKbAwBVAy2ho4cKDZZnR0tFqchDmINrD4yFNgoQvGDW88gAMyXPQRhw4dUuOB5wrGsnjx4o5VWBflREZGCpyEraG/v1jTktp3go4BJWN+4PuK9Y0OgNtxDYC2ATzD7dm+eMqpvZSMGRYJAYbHXGzdurX55gNdP64dQDa+CwH2tn9v0vm4pQJUgApQASpABagAFaACVIAKUAEqQAWoABWgAlTg9itAINk1BgSSb/9cZA+oABWgAlSAClABKpAmFSCQ7P/DZgWR0Vsc4wfADh2S/X/8bnUPT506peDaefPmJQJv7W1jzsCJePDgwT5BW//8849yqtyyZYuab7o+gGmAf+CwaHVmxP1k7ty5CrYDCKQDAFmdOnVUP62vMgcYBXgIYBTclBFwPUYewE9WyFjXpbcAtoYPH67cH9EHlMEPgFxAam3btlWuiNb+ARQCnPTbb78J4CEdcA8G3AvXQrSJeuHOCadmHagH2gG0q1q1qowfP17lgSunjkCDWKxbt64Cn2rWrKmSoUP//v0ViGXVBPXBJRpOmBry0vX4utUumLrecuXKKTg9W7ZsblUA0gKItXLlSsHYAbTLnz+/AuzgCgqt0W9f4sjRK/LxkAvKZVjnT2+wv/nzJkjTRuelYnnPEClA2QWGO+8+w4EXLsX2yJ71snLzzZXzsgwbmUWd3n8wUDIEXVVwbVjYVVlvAMMAdh9vcU5KGu6/TvG/w4EycVqEaufKNZ4WbspVK16QNq3Oqfp0uUuGC/OsOeGyx3Dn3Wv0yxr35IuXEsXiFSScVJ46NePkm8kRcuB/ztem6wV4HBZ6xXDSvaquo0C+BKONS1K0SHySILKuA1sA1z/8GC6LloYpiLuYAVAXNZygce07dmeQhrVjVb+VU6+1oGV//cZg+W52RhOKxqlIAxR+sF6sNKgba8kpAtB72R+hcsgAkq9J6nbe14N8BhDe673TKvuYbzLJYcMt+3/Gj1OdcG7OnTNBnjXAaLubtbf2lhv9xDzr1/OUCbh7yw+4eLTRl/0GGH3uvLvTrLdyTucA1tc0wHIVFiB5+/btClbEMxtuuZ9++qlT8duehnse7slwArbe/3THcN8CfAowuGvXrioZ91RAtlicgfsv7p0HDhxQ4Cfup4BFcY8KCQlRGjz11FNuiyJ03U5b/NEXwCueEefOnVN1AsS9cOGCgoTRHyy+AAQNaNeXBRVO7SANbsE9evSQ5cuXmwvBkA4HYNwvsWgFi07wjEoqoN3EiRNl//79yrEez14dWCADoBlOv3DV9XT/RxlA7IsXL1ZQNhacbN26VS2SgYb4SQpqxcIigN1w4y9UqJDSD6AyoG1AzXhmJBULFiyQ7777TumNNyIAzt69e7c0btxYLXDCdXgKfCfAYilA5VjUgzc66MCY4pz+jqvTvW0zZswogIWdnJQBRwNOh9s/XK4xbtjH9w8sxMLz2xuMfDPGDAuYsEBq2rRpChTH5wTzHnpBNyxqgkP6jcxTb/rwHBWgAlSAClABKkAFqAAVoAJUgApQASpABagAFaACN0cBAskuHQkk35z5xFqoABWgAlSAClABKvCvU4BAsv8PuYY1rFsCyf4/bqnZQ0A3eE24LwFYF695T07ALRhgE9x44e4HIAwg2M0KQHr/Z+8+4KOq0j6OP0DoJPSaAAGk9yJFyiIQRASxoKi4VlxFwbK21d11u7u+rrsrtrWhLspKs1AUBJQqRTrSO0jvLSQE8L3PGWd2MnNnMpnMZO4kv/P5wMw9t3/PzcxA/vcZDcZqyEwDT94VfHPahwaZN23aZAJXGvLRapYNGzYMKTSW07YjOV8DWRpK0qCeBujU0S5Uldt9atBPQ9EpKSkmhBVsfQ2AazBNQ4Ma1mrWrJkJ2gULadlu78ddtt2R7NTAsjuEeup0USvUWMwKrolVVfWilE/6X7gv2D61au0eK2SqQeaaNS5YYbRgS8fnPK3IrOe4y/qjP5KpdbKsSqgXJcFUKw7tnE6fKWoF9BOkuhUEr1jhf5WWQ1vbeUupya5dCXKZVbU5ps0rkKzHoTcG6H9iaqXyXP/MxfREgu9cq+VqmFdfu93t3Llz5vVu+/bt5iYIrQCvr3u5eW13b0sf9T1Cw7gaGtX3Ia0KrAFdDdlG4nXUe18abNUQtQaCNYgcKDDsvU60n+s5b9myxYSYteJxbgOtei762q/vQ6mpqZ4q07k5bn1/1mC9hoLVRYO2oTQ9dt2vhoTzq+k1qQFg/awSrBJ3tI5Hz1d/1vXbHPT6VC/9NoRIfm6K1rGzXQQQQAABBBBAAAEEEEAAAQQQQAABBBAQ8/97+n+g+n/aWqRC/09W/39P/2/f/UedCtL/9duNO4FkOxX6EEAAAQQQQAABBHIUIJCcI1HMF/AOIuvB6DSB5JgPCweAQOEVyIdAcuHF5cwLjIBPILnAnBcnggACCCCAAAIIIIAAAggggAACCCCAAAIIIIBAARagQrJrcAkkF+CLnFNDAAEEEEAAAQSiKUAgOZq6kdk2geTIOLIVBBCIkACB5AhBspkCLUAguUAPLyeHAAIIIIAAAggggAACCCCAAAIIIIAAAgggUDAFCCS7xpVAcsG8vjkrBBBAAAEEEEAg6gIEkqNOnOcdEEjOMyEbQACBSAoQSI6kJtsqqAIEkgvqyHJeCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgVYgECya3AJJBfgi5xTQwABBBBAAAEEoilAIDmaupHZNoHkyDiyFQQQiJAAgeQIQbKZAi1AILlADy8nhwACCCCAAAIIIIAAAggggAACCCCAAAIIIFAwBQgku8aVQHLBvL45KwQQQAABBBBAIOoCBJKjTpznHRBIzjMhG0AAgUgKEEiOpCbbKqgCBJIL6shyXggggAACCCCAAAIIIIAAAggggAACCCCAAAIFWIBAsmtwCSQX4IucU0MAAQQQQAABBKIpQCA5mrqR2TaB5Mg4shUEEIiQAIHkCEGymQItQCC5QA8vJ4cAAggggAACCCCAAAIIIIAAAggggAACCCBQMAUIJLvGlUBywby+OSsEEEAAAQQQQCDqAgSSo06c5x0QSM4zIRtAAIFIChBIjqQm2yqoAgSSC+rIcl4IIIAAAggggAACCCCAAAIIIIAAAggggAACBViAQLJrcAkkF+CLnFNDAAEEEEAAAQSiKUAgOZq6kdk2geTIOLIVBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAgkQSHbJEEgOdIXQjwACCCCAAAIIIBBUgEByUB5HzCSQ7Ihh4CAQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBAqwAIFk1+ASSC7AFzmnhgACCCCAAAIIRFOAQHI0dSOzbQLJkXFkKwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCAQSIJDskiGQHOgKoR8BBBBAAAEEEEAgqACB5KA8jphJINkRw8BBIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggUYAECya7BJZCcDxf58ePHZfHixZKcnCypqamSlJSUD3t1zi6OHTsmiYmJUrx4ceccFEeCAAIIIIAAAnkWIJCcZ8Kob4BActSJ2QECCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQCEXIJDsugAIJOfDD8KkSZM8e9EwcqdOnRwZSr548aLs2rVLtm3bJhoiPnv2rFy4cEHKly8vFStWNH+qVq0qKSkpkpCQYJZbt26dXHvttZ7z0yeXLl2SvXv3mvlbtmwx27rnnntE16UhgAACCCCAQMERIJDs/LEkkOz8MeIIEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQTiW4BAsmv8CCRH+TrWcO6UKVNMsNe9K6eFkvUYly9fLhoqysjIMIdZpkwZqVGjhlSvXl0yMzPl8OHDcujQIfNcw8jlypWTEydOmHDy0KFD3acm+/btk5UrV8rWrVs929KZBJI9RDxBAAEEEECgwAgQSHb+UBJIdv4YcYQIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAvEtQCDZNX4EkvPhOt6wfr2s37Ah256cEko+deqUTJgwQY4cOWKOT4/rmmuukTp16mQ7Xp3Q4PLChQtl0aJF4g63aGD5rrvu8ltWQ8zvv/++CS3rTALJfkR0IIAAAgggEPcCBJKdP4Tuz2zej/pcP9fpt2NkZWXJ+fPnzY1k+i0YNAQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDInQCBZJcXgeTcXTdhL+3EUPLRo0dl3Lhxcvr0aXNeLVq0kD59+kjJkiWDnqdWQZ40aZKkp6dL5cqVZdiwYbbLT5w4UbZt22bmEUi2JaITAQQQQACBuBYgkOz84fMOIuvR6jSBZOePG0eIAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIBA/AgSSXWNFIDkfr1knhZI1iKIVjA8dOmQEmjdvLgMGDAhZQ4PGGjjWisrDhw+3Xe/zzz+XjRs3mnkEkm2J6EQAAQQQQCCuBQgkO3/4CCQ7f4w4QgQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACB+BYgkOwaPwLJ+XwdOyWUvGzZMpk9e7Y5+7Jly8r9998vxYsXz5WGBo53794tI0eOtF2PQLItC50IIIAAAggUGAECyc4fSgLJzh8jjhABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIL4FCCS7xo9Acgyu41iHks+ePStvv/22ZGZmmrPv2rWrdOvWLdcShw8flg8//FAee+wx23UJJNuy0IkAAggggECBESCQ7PyhJJDs/DHiCBFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEE4luAQLJr/Agkx+g6jmUoefr06bJ69WrPmf/iF7+QihUreqZz82Tfvn1Sq1Yt21VyE0jOysoSDTgfPHhQTp8+LZUqVZJq1apJ5cqVpVixYrbbd3deuHBBvv/+ezl06JDo8ypVqkhycrKUK1dOihQpIklJSe5FPY+6j/Xr18vRo0clISFBqlatKnXq1BE9Dn1ut08N9GzcuNEc44kTJ8wy1atXN+efkpLi2bbdE33BOX78uLRs2dLM3rlzp2zdulVq1Kgh9erVM8dht16pUqWMg3ve+fPn5cCBA+5J86hGWuWahgACCCCAQH4LEEjOb/Hc749AAAcS1gAAQABJREFUcu7NWAMBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIHcCBBIdmkRSM7NVRPhZWMVStbqyMeOHTNno4HXRx55JMJn5tpcqIHkNWvWyKxZs0TDvampqXLmzBnZtm2bCSYnJiZKv379pH79+rbHqAHmTz/91ASq27VrJ7r8rl27ZMGCBSacfO2110rTpk2zravhZd1fkyZNTEBYQ8ybNm2SlStXmuVGjBjhF/DV/UybNk20unTPnj1N4PnUqVOycOFC0ReTHj16SJcuXbLtR+dr6HndunVy5MgRadSokVx//fUyd+5cWbx4sWdZ3V5GRoYsXbpULl265Onv3LmzNGzYMFvgWwPJGmT++uuvzbE0aNBA0tLSpHz58p71eIIAAggggEB+CRBIzi/p8PdDIDl8O9ZEAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgFAECyS4lAsmhXC1RXCa/Q8kXL16Ul156SdzhFK0KfOutt0blDHMKJGsQeOrUqSYM3KlTJxP09T6QGTNmyKpVq0xX69atTTDZe76Gc9977z0T5tUQsXdVYw0ljx8/Xq6++mpp0aKFZzUNFo8ZM8YEnwcPHuzp1ycaLtYg8/Dhw7NVVdZqyh988IEJAPfv399T5VjX0WMYNWqUqKvuq1WrVtptQsMrVqyQHTt2mGn9SwPJtWvXlg0bNsi5c+dMxWTtv/zyy6VXr16ioa758+drl6mKfPfdd5vndn998sknplKyVrfWCs80BBBAAAEEYiFAIDkW6rnbp/szn/ejPteboPTzi347hH6e0ZujcvrGh9ztmaURQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBAoHAIEkl3jTCDZAdd7foaSDx06ZEK87tNu3LixXHfdde7JoI8aIA7WihQpki0UnFMg2V0puEKFCnLvvff6BWs1KPPxxx/Lnj17zG6vuuoqadOmjecQtmzZIhrM1UrHgwYN8vS7n0ycONFUGNYws7vNnj1bli1bJn379pW2bdu6u82jhnJeffVVueOOO0zFZffMRYsWybx588ykhpi1KrF3Gz16tBw+fNiEjW+77TbvWaKh5JkzZ5q+cuXKSb169UxwWc9t7dq1JlTctWtXU9lZA0FvvPGGCSvrCho2rlixYrbt6YSu+9prr0n79u3liiuu8JtPBwIIIIAAAvklQCA5v6TD3493EFm3otMEksP3ZE0EEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQR8BQgku0QIJPteGTGazq9Q8vr162XKlCmes9SKvlrZN5Q2efJkOXLkiAnf+i5frVo1Ux1YQ7LuFiyQrNvR6sYarvWuLOxe1/144MABU51Yp0uWLCnDhg0TDfZqW7x4sWioWfsfeughKV68uOl3/+WuRNyuXTt3l6marFWLNRh88803e/rdT7Qqsy5ftWpVd5csX75cZs2aJRq41v1XqlTJM0+ffPTRR6IvKGXLlhWt1Ozdjh07Jm+//bbpKlWqlDz44IN+x+m9vFZo1krN2jQwrcFp37Z9+3bRsPUDDzyQrZKz73JMI4AAAgggEG0BAsnRFs779gkk592QLSCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIBBMgECyS4dAcrCrJJ/n5Ucoec2aNfLll196zqx58+YyYMAAz3QoT7777jv5+uuvPYs2bNhQbrjhBs+0+0mwQLKGojUcrW3o0KFBvyL83XffNUFoXbZbt26iFYW1rVu3TqZOnWqe16pVS6699lopX768mda/tOLx2bNns4V29dzVQFvLli0lLS0tW0BYl9dgc4kSJcwy+peGpjXcXLRoUWnatKmn3/1k7Nixpoqzzn/yySfd3eZRt6dVl7XVrVtXbrnlFvM80F/nzp2T119/XbQatR7H8OHDpXTp0tkWV7v09HQZMmRItn4mEEAAAQQQyG8BAsn5LZ77/RFIzr0ZayCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIJAbAQLJLi0Cybm5avJh2WiHkrdt22aq67pPpWbNmnLHHXe4J0N6PHPmjLz22mueZQNVOA4WSB49erSn0rJWN3ZXPfZs1OuJhp3mz59vepo0aSKDBg0yzzMzM031YQ39atNKyVdccYVoleZixYqZPt+/9u7dKx9++KGnW6sd9+zZUzRUnZumIeUtW7aYcPOePXskKyvLrP70009n24wGjEeNGmX66tevLzfddFO2+XYTM2fOlBUrVphZ3bt3N+fkXu78+fMm4NyvXz9p1qyZu5tHBBBAAAEEYiJAIDkm7LnaKYHkXHGxMAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAArkWIJDsIiOQnOtLJ/or2IWSGzRoIG3atMnzzg8fPiwaBnY3DfE++uij7smQHjWM++KLL3qWvfHGG+Wyyy7zTLufBAok6/ovvfSSqTxcpEgReeqpp9yr2D5u3LhRdFvaqlSpIvfee69nud27d8ukSZNEg7rulpSUJL169ZLGjRu7u7I9Ll26VL755ptsfcnJyXLVVVdJ1apVs/X7TmRkZIhWiNaKyfXq1ZMOHTqYitMaStYWiUDyyZMn5c033xQNEJUtW9ZUSXYHrLUqtAaWR4wYIQkJCb6HxzQCCCCAAAL5KkAgOV+5w9oZgeSw2FgJAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBkAUIJLuoCCSHfMnk34Iadl2/fn22HWoF31atWmXrC3dCqxtrlWN3e/jhh6V06dLuyZAeX3jhBc9ygwcPFg1M+7ZAgeT09HR55ZVXPIuPHDlSypQp45n2fbJv3z4ZM2aM6dbj1OP1bhqy/uKLL+TAgQPe3aaCcP/+/W2rJW/evNkEe70dihYtaqolX3755dm2oxMa5tHQlYaRU1JSZODAgaYis84bO3asRDKQrNucPHmyCT3rc+8K1OPHj5fy5cub8LTOoyGAAAIIIBBLAQLJsdQPbd8EkkNzYikEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQTCFSCQ7JIjkBzuFRSl9bQasFbB9W3dunWT6tWr+3aHNf3VV1/JypUrPesOGjRImjRp4pkO5UleAsm6/Zdfflm02rC2O++8U2rUqGGe2/11/Phxeeutt8wsrWR8++23+y2mYRs9p/nz53u2qwtpleTrrrvOb3ntyMzMlAULFsiKFStMtWb3QmlpadKuXTv3pAkjT5kyxQSENRTer18/0crO7haNQPLBgwfl/fffN7twV4U+e/asaJh86NChog40BBBAAAEEYi1AIDnWI5Dz/gkk52zEEggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCORFgECyS49Acl6uogivu2nTJvn+++/9ttqpUydTlddvRpgdJ0+elHfeeUcuXLhgtqAVd4cNGyYJCQkhbzGvgeSPPvpI9IdQ2zXXXCMtWrQIuO+9e/fKhx9+aOa3bt3aBIJ14vTp01K2bFnRysbupiHnWbNmZQt1DxkyRFJTU80ieu56vt7t6NGjMnXqVE+F5RIlSsjw4cOlVKlSZjHd3vLly81+tJqzu9+9jWgEknXb48aNk507d5rd3HTTTaLHuWrVKrnvvvtMH38hgAACCCAQawECybEegZz3TyA5ZyOWQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIC8CBJJdegSS83IVRXDdzZs3y9q1a/22GOkwsnsHWknYO0SkFZi7du3qnp3jY14DyXPmzJElS5aY/WhYWEPDgZoGtT/77DMze8CAAdK8eXPzXI8/JSVF6tSp47fqvHnzZNGiRaa/S5cu0qNHD/N84sSJpmKyb/g6KytLPvnkE08A2DvEPGrUKDl37pypSmxXnTlagWQNI2soWVvdunVN5WetZN25c2fTx18IIIAAAgjEWsD7s0QsjkVvMipZsqT5ozcU6ft7sWLFPI/6jQbuG5f00f0NB76P3sfunufdF8/PCSTH8+hx7AgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAC8SBAINk1SgSSHXC1btmyRdasWeN3JNEKI+uONJzy+eefi4Z9tWmA5+abb5batWub6Zz+ymsgWSsZv/3225Kenm7CQQ888IAkJSXZ7nb69OmyevVqqVGjhtxxxx2eMJGGoHQ7vXr18ltPqz9rkFiDxldeeaV07NjRLPPxxx9Lhw4d5LLLLvNbZ8+ePaLhYm133nmn2d/hw4dl9OjRpk+PTysn+7Y33nhDTp06ZbqffPJJT/BJOzTIrMehrX79+qKVjnPT3n//fTl48KBZRQNSDz74oJQrVy43m2BZBBBAAAEEoiZAIDlqtBHbMIHkiFGyIQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBGwFCCS7WAgk214e+de5detWE7b13WM0w8jufV28eFG++OILWb9+venSwKtW39Vqye5qgu5lvR+PHj0q77zzjqdr8ODB0qBBA8+0+8mECRNk+/btZvLnP/+51KpVyz3LPOp+p0yZYp7r+jfeeKMnbOxeUAPFr732mmRmZopWJ05OTnbPMhWely5dKvfdd5+ULVvW069Pzp8/b9bTR+99ayBZz/u2227z25c7kKyVFkeOHGkqLJ4+fVpef/11z7a1irRWXNbqi+qwePFi0UC5Hp+2e+65R6pWrSpnz541x6RBZQ0sa6tZs6YJVJuJEP/asGGDTJ482SwdTqA5xN2wGAIIIIAAAmEJEEgOiy1fVyKQnK/c7AwBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAoBAKEEh2DTqB5Bhe/Nu2bZNVq1b5HUF+hJG9d6pB3NmzZ3sq8WpwtlmzZqZCcLVq1US/Al0rDh84cEB27NhhAtQauC1evLi0bt3aVCD2DTBrQPfNN980FYJ1X2lpadKuXTvv3ZrnixYtkgULFsilS5dMFWOtZuxu2vfJJ5/I7t275aqrrpLmzZu7Z5lHDUHNnz9fqlSpIrfccku2UPLy5ctl1qxZphpy7969PetpIHnXrl3SpEkTGThwoCd47V0x+oYbbpCGDRt61vEOVmunBpZLlSplqjNfffXVcuLECZkzZ45ZXudVqlTJuKiNd+haq1BrYLlixYpm2VD+0uNSx5MnT8qgQYPMcYeyHssggAACCCCQHwIEkvNDOW/7IJCcNz/WRgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAICcBAskuIQLJOV0pUZqvwd4VK1b4bT2/w8juA9Cwytq1a80xaeVfDSC7m4Zs3RWANZyckpJiKiJrQFjnebdjx46JVi3Wys8aWnY3DSxfdtll5k/Lli3d3eZx//79plLy8ePHJSkpyWxbw7taXVnXu/baa03oONtK1oSGoDSsrFWI09PTpXbt2lK5cmWznk5rNeM2bdpkq4Q8ceJE0XPVcLXuQ9fRcPGmTZukTJkyJlydmpqabVe6rWnTpnmqPesxaaC5e/fuUqFCBdEqylrFWF9UdLpjx47GZc2aNeb43EEg3aj6aTXoRo0ahRwu/vLLL2Xz5s0yYsQIU5k528ExgQACCCCAQAwFCCTHED/EXbs/h3g/6nO98Uu/NUK/jUK/USIjI8N8xgtxsyyGAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAj8JEEh2QRBIjsGPxM6dO0Ur+Pq2WIWRfY9Dp7UirwaTNWBcrFgxU304MTFRqlev7qkqbLdeXvo0WKxBYQ0ma7C4Ro0aUq5cuYCb1JC0OxCtz3U9DdNoKLh8+fLZgsjujXivo4FpXUdDOVq1ONi+dP0zZ86YkLUuq8Fi36bzc9qG7zqhTH/wwQdSq1YtU2U6lOVZBgEEEEAAgfwSIJCcX9Lh78c7iKxb0WkCyeF7siYCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAK+AgSSXSIEkn2vjChP79q1S5YtW+a3FyeFkf0Ojo6YCRw6dEjee+89GTZsmAlpx+xA2DECCCCAAAI2AgSSbVAc1kUg2WEDwuEggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCBQ4AQLJriElkJyPl/bu3bvlu+++89sjYWQ/Ejp+EpgyZYqcO3dObr75ZkwQQAABBBBwnACBZMcNid8BEUj2I6EDAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBiAoQSHZxEkiO6GUVeGN79uyRpUuX+i1AGNmPhI6fBPSaGTt2rNx0001Sv359XBBAAAEEEHCcAIFkxw2J3wERSPYjoQMBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIGIChBIdnESSI7oZWW/Mb3YlixZ4jeTMLIfSaHt2Llzp8yYMUMuXbokderUkQoVKsjy5culRo0aVEcutFcFJ44AAgg4X4BAsvPHiECy88eII0QAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQiG8BAsmu8SOQnA/X8bRp0yQjIyPbnggjZ+Mo9BMTJ06Ubdu2ZXNISEiQu+++WypVqpStnwkEEEAAAQScIkAg2SkjEfg4CCQHtmEOAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACkRAgkOxSJJAciasph21MmjQp2xKEkbNxMGEJrFq1ylRIdmOUKVNGbrjhBklOTnZ38YgAAggggIDjBAgkO25I/A6IQLIfCR0IIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAghEVIBAsouTQHJELyv7jW1Yv16279ghiYmJUr9+fUlJSbFfkN5CLXDmzBnZvXu3aBi5Vq1aUqJEiULtwckjgAACCDhfgECy88eIQLLzx4gjRAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBCIbwECya7xI5Ac39cxR48AAggggAACCMRMgEByzOhD3jGB5JCpWBABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIGwBAgku9gIJId1+bASAggggAACCCCAAIFk518DBJKdP0YcIQIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBAfAsQSHaNH4Hk+L6OOXoEEEAAAQQQQCBmAgSSY0Yf8o4JJIdMxYIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgiEJUAg2cVGIDmsy4eVEEAAAQQQQAABBAgkO/8aIJDs/DHiCBFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEE4luAQLJr/Agkx/d1zNEjgAACCCCAAAIxEyCQHDP6kHdMIDlkKhZEAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgLAECyS42AslhXT6shAACCCCAAAIIIEAg2fnXAIFk548RR4gAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggEN8CBJJd40cgOb6vY44eAQQQQAABBBCImQCB5JjRh7xjAskhU7EgAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACYQkQSHaxEUgO6/JhJQQQQAABBBBAAAECyc6/BggkO3+MOEIEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgfgWIJDsGj8CyfF9HXP0CCCAAAIIIIBAzAQIJMeMPuQdE0gOmYoFEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQCEuAQLKLjUByWJcPKyGAAAIIIIAAAggQSHb+NUAg2fljxBEigAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCMS3AIFk1/gRSI7v65ijRwABBBBAAAEEYiZAIDlm9CHvmEByyFQsiAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQFgCBJJdbASSw7p8WAkBBBBAAAEEEECAQLLzrwECyc4fI44QAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCC+BQgku8aPQHJ8X8ccPQIIIIAAAgggEDMBAskxow95xwSSQ6ZiQQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBMISIJDsYiOQHNblw0oIIIAAAggggAACBJKdfw0QSHb+GHGECCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAALxLUAg2TV+BJLj+zrm6BFAAAEEEEAAgZgJEEiOGX3IOyaQHDIVCyKAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIBCWAIFkFxuB5LAuH1ZCAAEEEEAAAQQQIJDs/GuAQLLzx4gjRAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBCIbwECya7xI5Ac39cxR48AAggggAACCMRMgEByzOhD3jGB5JCpWBABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIGwBAgku9gIJId1+bASAggggAACCCCAAIFk518DBJKdP0YcIQIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBAfAsQSHaNH4Hk+L6OOXoEEEAAAQQQQCBmAgSSY0Yf8o4JJIdMxYIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgiEJUAg2cVGIDmsy4eVEEAAAQQQQAABBAgkO/8aIJDs/DHiCBFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEE4luAQLJr/Agkx/d1zNEjgAACCCCAAAIxEyCQHDP6kHdMIDlkKhZEAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgLAECyS42AslhXT6shAACCCCAAAIIIEAg2fnXAIFk548RR4gAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggEN8CBJJd40cgOb6vY44eAQQQQAABBBCImQCB5JjRh7xjAskhU7EgAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACYQkQSHaxEUgO6/JhJQQQQAABBBBAAAECyc6/BggkO3+MOEIEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgfgWIJDsGj8CyfF9HXP0CCCAAAIIIIBAzAQIJMeMPuQdE0gOmYoFEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQCEuAQLKLjUByWJcPKyGAAAIIIIAAAggQSHb+NUAg2fljxBEigAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCMS3AIFk1/gRSI7v65ijRwABBBBAAAEEYiZAIDlm9CHvmEByyFQsiAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQFgCBJJdbASSw7p8WAkBBBBAAAEEEECAQLLzrwECyc4fI44QAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCC+BQgku8aPQHJ8X8ccPQIIIIAAAgggEDMBAskxow95xwSSQ6ZiQQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBMISIJDsYiOQHNblw0oIIIAAAggggAACBJKdfw0QSHb+GHGECCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAALxLUAg2TV+BJLz4To+fvy4LF68WJKTkyU1NVWSkpLyYa/swikC6enpcvHiRUlMTHTKIXEcCCCAAAIIRESAQHJEGKO6EQLJUeVl4wgggAACCCCAAAIIIIAAAgVY4McfL0nW6VNSrGRp60/JAnymnBoCCCCAAAIIIIAAAggggAACCORVgECyS5BAcl6vpBDWnzRpkmcpDSN36tQp5qHk/fv3y/bt2z3HFehJ48aNpUqVKoFm0x9A4PDhw8Z369atsnfvXunTp4+0a9cuwNJ0I4AAAgggEJ8CBJKdP24Ekp0/RhwhAggggAACCCCAAAIIIIBA7ASOb14vR9csl4xjRyTz+DHJOH7E+nPUPM88cUx+vHTJHFzRhOJSvFyi+VMisbwk1a0vFRo3k4qNW0j5+g1F59MQQAABBBBAAAEEEEAAAQQQQKDwChBIdo09geQo/wxcsv6zasqUKXLhwgXPnpwQSs7IyJBDhw7Jnj17ZMmSJZKVleU5vpLWnf4dO3aUlJQUqVGjhpQoUcIzjyfBBc6dOyfz5s2T3bt3y7FjxzwLayC5ffv2nmmeIIAAAgggUBAECCQ7fxQJJDt/jGJxhKd2bZcze3bmy66LWv+WSChTVhJKl5Hi1h99rr+8L1KsWL7sP+vMaTm86ju/fRUpWlRqXtHTr78gdqQf2Ccntm70O7UqrTtYY8G39/jB0IEAAggggAACCCBQoAU0YHzk+5Wyf8HXsm/BbEk/dCDP56th5AoNm0pKr35Su1d/KVm+Qp63WZg3sP/bOZ4guLdDQfk3jF5zJ6wgvG+r0qqdlEgq3NfOsQ1rJePo4Ww0RRISpGbnHtn6cpo4un6NZFo3Gfi2pNQGUi6lrm830wgggAACCCCAAAIIIIBARAQIJLsYCSRH5HIKvpEN69fL+g0bsi3khFCy+4Dmzp0rixcvdk/KlVdeaQLJng6e5FpAwz+TJ0+WjRtdv/gnkJxrQlZAAAEEEIgDAQLJzh8kAsnOH6NYHOH60a/KxrHvxGLXZp9Fi5eQxNqpor8INH/qN5KqbS6XhFKlI35MWu3smwdv89uuft3yoGlL/PoLYseOLz6Rlf/4o9+p9XxljFRq2tKvnw4EEEAAAQQQQAABBAqigP7bYOfUibJv4TeSefJ41E6xqBWerGGFJ+v2vVZqdOkhRYoUjdq+CuqGJw/oIhcyzvmdXs9XP5RKTVr49cdbx66ZU2T5C7/1O+we/xwtVVoW7m/aXPL7x2WvdaOAd9MbaQd8Os+7K8fn3/56pBxYMt9vuZb3PSoNh9zl108HAggggAACCCCAAAIIIBAJAQLJLkUCyZG4mkLYhpNDyRussLSGZ93ttttuk9q1a7sneQxTYOnSpfLNN9+YtQkkh4nIaggggAACjhYgkOzo4TEHRyDZ+WMUiyOMdSDZ7pyLlSwlNTp1l+Qefcwv7yMVTiaQLEIg2e6Kow8BBBBAAAEEEECgsAicP3VC1r0zSnZ8+amIVUgkP1vFRs2k1YhfSeVmrfJzt3G/LwLJcT+EYZ8AgeSw6VgRAQQQQAABBBBAAAEEHCBAINk1CASS8/FidGooeceOHTJ+/HiPxD333CNVq1b1TPMkPIGVK1fKV199ZVZOS0uTdu0K953t4SmyFgIIIICAkwUIJDt5dFzHRiDZ+WMUiyN0YiDZ26F4mbLS+NZ7pMGNt0uxEiW9Z+X6OYFkAsm5vmhYAQEEEEAAAQQQQKBACPz44yXZMe0TWf/uK3L+9MnYnVORIlI3bYC0sCqzlqxYOXbHEUd7JpAcR4MV4UMlkBxhUDaHAAIIIIAAAggggAAC+SpAINnFTSA5Xy87ESeGknfu3Cnjxo3zSBBI9lDk6QmB5DzxsTICCCCAQBwIEEh2/iARSHb+GMXiCJ0eSHablK5aQ5oPe1jq9O7v7sr1I4FkAsm5vmhYAQEEEEAAAQQQQCDuBfTfAav+9WfRx1Bb0YQEKVO9lpSqVMXrT2UpUbGK6DwNNWedOinnTx6XE9s2WdveIJeyzoe6eSletpx0/O3/SfUOV4S8TmFdkEByYR15EQLJhXfsOXMEEEAAAQQQQAABBAqCAIFk1ygSSI7B1ey0UDKB5OhcBASSo+PKVhFAAAEEnCNAINk5YxHoSAgkB5Ip3P3xEkh2j9JlNwyVVsOfELEqi+W2EUgmkJzba4blEUAAAQQQQAABBOJb4OB3C2Xx734pF89n5ngiGjSu1r6zJPfoK7W6XinFyyXmuI57AQ0jayj50PJFsvPLz+Tc4QPuWQEfixQrJm0fe05S+w0KuAwzRAgkF96rgEBy4R17zhwBBBBAAAEEEEAAgYIgQCDZNYoEkmN0NTsplBxOIPnUqVNy8OBBOXTokCTof9pVqyZVq1aVcuXK+YkeOXJEDhzI/p9xurz+cbf169fLpUuX3JPmsVatWlKpUqVsfTqhy23evFnKlCkjderUEQ3arF271hxLgwYNpF69ep51zp8/L1u3bpXSpUt7+k+ePCkbNmwQPYeUlBTRdUqWDPxV0Lr9jRs3mvM9ceKEFLP+07B69eqix6frB2oEkgPJ0I8AAgggUFAECCQ7fyQJJDt/jGJxhIECyeWS60iPf7wb0UO6kHFOMo4flcxjR6zHY3Leep5hPT+9Z6ccXb9afrx4MaT91e07UNo98QcpUrRoSMu7FyKQTCDZfS3wiAACCCCAAAIIeAts/M+/Zfu0Sd5d5nnf9z+XhNJl/PrpiA+Bfd/OkaV/fFIuXcgKesCVm7WSuv1vNCHkEolJQZcNZeaPP16Sg0u/le2TP5YDSxbkuEqzOx6QJtYfmr0AgWR7l8LQSyC5MIwy54gAAggggAACCCCAQMEVIJDsGlsCyTG8xp0SSs5NIPnMmTMydepU2b9/vzRv3twEkHft2iX6A6VB4VatWkmvXr2yBXwzMzPN8l999ZUcP37ciF9xxRXSvXt3j/7evXvNMvPnzxcNEWvr27evtG3b1rOMhprXrVtnwsRnz56VPn36SOvWrWX8+PGyZ88ez3JDhw41+9HQ8o4dO+SiFXLo1q2bdOnSRebNmydLly41IWb3CmXLlpW77rrLNkytoetp06aJ7q9nz56SnJxsgswLFy4059yjRw+zXfe2vB8JJHtr8BwBBBBAoCAKEEh2/qgSSHb+GMXiCAMFkhPr1JO00Z/m2yFlpZ+VwyuXys4vJoX0S/sGg4ZI65HP5Or4CCQTSM7VBcPCCCCAAAIIIFBoBNb++yXZMnGM3/kOnLxQipcp69dPh/MFfpj7lXz3/DNBb3rUsW1+36NSf8DgsL6BJRSFg8u+ldWvviBnftgVdPEmQ++TZnc/FHSZwjqTQHJhHXkRAsmFd+w5cwQQQAABBBBAAAEECoIAgWTXKBJIjvHV7IRQcqiB5O3bt5swspJpgDcp6X+VA44ePSpjxowRDR8nJibKddddZyoIe/MuX75cZs2aZbp8A8nu5WbOnCkrVqwwk96B5MWLF3uqFLuX7d27twkFX7hwwTzqvrVdeeWVolWQtWpyVparEkLHjh1NBeX09HRp2rSpOXatyrxt2zazjlY61iCzdzt9+rR88MEHJozcv39/admypWe2hqZHjRplws5XX321CWJ7Zv70hECyrwjTCCCAAAIFTYBAsvNHlECy88coFkfolECy97mf2LJBvn/nZevrjhd7d2d7XqRIUen52odSsVGzbP3BJggkE0gOdn0wDwEEEEAAAQQKrwCB5II19rtmTpEVL/5OfvT5Fkbvs6zRqbu0ffQ3Urpqde/uqDzXCs2bPnpHNnz4lljVUez3UaSIdPnTy1Kzcw/7+YW4l0By4R18AsmFd+w5cwQQQAABBBBAAAEECoIAgWTXKBJIdsDVHOtQciiBZK0Q/Pbbb5vAcb9+/UxlYl86DSxPnDjRVB+uUKGC3HvvvZKQkOBZbNOmTfLZZ5+Z6UCBZA0ez5071yzjHUjWDg3UTJ482QSTdVqDz1r5WKsya9BYA89apVn7ihUrJt6B4KLWVztrRebOnTvrqqbp9t58800TXtaOhx56KFuV5EWLFpmKyjpv8ODB0qBBA33qaaNHj5bDhw9L7dq15bbbbvP0u5947z8tLU3atWvnnsUjAggggAACBUKAQLLzh5FAsvPHKBZH6MRAsjro1xxveP912Tj23YC/tK/YuLn0fHWMaDiZFprAji8+kZX/+KPfwj1fGSOVmv7vpku/BehAAAEEEEAAAQQKsACB5IIzuEfXrZZ5j95t/j1hd1ZFrN8VtHv891K370C72VHt06rNy1/4rVw87yqm4ruzEolJcuUb/5WyNZJ9ZzFdgAU0QK/XhW/r8c/RUqVl4f49UqQCyb62TCOAAAIIIIAAAggggAAC+SFAINmlTCA5P662EPYRy1ByKIHkKVOmiFYU1qrIw4cPD3hGGkh2Vx3WqsRardjdQgkkL1myRObMmWNW8Q0ka+eqVatkxowZZn69evXk5ptvNs/t/tKA9IQJE8ysRo0ayfXXX++32NSpU2XdunWm/5ZbbpG6det6lnFXdC5iVSoYNmyYVKpUyTNPn3z00UemMnPZsmVlxIgR2ebpBIFkPxI6EEAAAQQKmACBZOcPKIFk549RLI7QqYFkt8X2KeNl1cvPuyf9Hjs996Ik90jz66fDXoBAsr0LvQgggAACCCBQuAUIJBeM8deg79f3D5HTe3ban5D1f/sdnvqT1EkbYD8/H3o1ML3oNyPl/OlTtnur0LCp9Bz1gRQtXsJ2Pp0FT4BAcuAxJZAc2IY5CCCAAAIIIIAAAggg4HwBAsmuMSKQ7KBrNVah5JwCycePH5e33rK+WsxqqampMmTIkIBqGzdulM8//9zM1yrFv/zlL0WrE2uLRCB5w4YNpkqybk8rHmul5UBt165d8vHHH5vZTZo0kUGDBvkt6g4d64yrrrpK2rRp41lGqy3r/vT4mzZt6ul3Pxk7dqzs2bPHzH/yySfd3Z5HAskeCp4ggAACCBRQAQLJzh9YAsnOH6NYHKHTA8lqsvRPT4lWE7NrdfpcIx1+9Re7WfTZCBBItkGhCwEEEEAAAQQKvQCB5IJxCax752XZ9PF7AU+mzYinpf51twacn18zDi5bJN8++5D8aP3Owa455Tjtjo2+yAsQSA5sSiA5sA1zEEAAAQQQQAABBBBAwPkCBJJdY0Qg2WHXaixCyTkFkr2DxBrY1eBuoHbhwgUZNWqUZGVlmUXuvfdeqVKlinnuvR0NEmug2LflVCHZexs9e/aUTp06+W7CMx1KIHn16tUyffp0s06fPn2kffv2nvXtnmhIecuWLbJmzRoTRnaf59NPP+23OIFkPxI6EEAAAQQKmACBZOcPKIFk549RLI4wHgLJWWfPyIyfD5Dzp074EZVIqiDXTPxaivx046PfAnRkEyCQnI2DCQQQQAABBBBAwAgQSI7/C+H45vUyZ8TtAUO+ze54QJpYf5zStoz/QNa+9U/bwylVuapcNWaqFCtR0nY+nQVLgEBy4PEkkBzYhjkIIIAAAggggAACCCDgfAECya4xIpDswGvVLpTcoEGDbNV7I3nYOQWSFy5cKAsWLDC77Natm3Tt2jXo7t999105cuSIWea6666Txo0bm+feYeJ4CyRnZGTId999Zyom16tXTzp06CBffvmlCSXryRFINkPMXwgggAAChUyAQLLzB5xAsvPHKBZHGA+BZHVZ/erfZNtnrm888XXq8a/3pEqLtr7dTNsIEEi2QaELAQQQQAABBAq9AIHk+L4ELl3Ikq8fuFVO7dxqeyLJPdKk03Mv2s6LZefi3z0m+xZ+Y3sIVEm2ZSmQnQSSAw8rgeTANsxBAAEEEEAAAQQQQAAB5wsQSHaNEYFkB16rGzZskPXr12c7soYNG0qrVq2y9UVqIqdA8ldffSVa7Vdb27ZtpW/fvkF3PWHCBNm+fbtZJi0tTdq1a2eex2MgWUM8GrbSMHJKSooMHDhQSpZ0VSkYO3YsgeSgVwIzEUAAAQQKugCBZOePMIFk549RLI4wXgLJxzetk28eGmpLxC/rbVlsOwkk27LQiQACCCCAAAKFXIBAcnxfANs+HyerX/mr7UkUs/7/Pu29z6VMtRq282PZeXbfHpl5z/VyyfqmSd9GlWRfkYI7TSA58NgSSA5swxwEEEAAAQQQQAABBBBwvgCBZNcYEUh22LW6ceNGWbdund9RaWXi6tWr+/VHoiOnQPLy5ctl1qxZZldaqXnw4MFBdztlyhRPoHrIkCGSmppqlo+3QLIGePRcNCCuYfB+/fpJkSJFPOdOINlDwRMEEEAAgUIqQCDZ+QNPINn5YxSLI4yXQLLaTLuxp2SePOHH1GTofdLs7of8+unwFyCQ7G9CDwIIIIAAAgggQCA5vq+B2ffdJCd3bLE9Caf/WyHYN8F0eOZ5qdO7v+150VlwBAgkBx5LAsmBbZiDAAIIIIAAAggggAACzhcgkOwaIwLJDrpWNbD7/fff+x1Rp06dTHVevxkR6vANJD/66KOeKsC6i127dsnHH7u+Krl8+fLywAMPBN3zuHHjRLep7aGHHpJy5cqZ5/EWSNYQtoaxixYtKiNHjpRSpUqZ83D/RSDZLcEjAggggEBhFSCQ7PyRJ5Ds/DGKxRHGUyB59v03y8ltm/2Y6g8YLG0e/Y1fPx3+AgSS/U3oQQABBBBAAAEECCTH7zVwbMNamTPy57YnoFWG+34wWRJKlbad74TOzBPHZPrQq+ViZqbf4dTudbVc/qx95We/hemIWwECyYGHjkByYBvmIIAAAggggAACCCCAgPMFCCS7xohAskOu1c2bN8vatWv9jibaYWTdoXcgWUO3jzzySLbjOHfunLz++uty4aevERs6dGjQgPS7774rR44ckQoVKsj999/v2ZZ3ILlDhw7Su3dvzzz3kyVLlsicOXPMZN++faVt27buWebRexs9e/YU9QnUvIPUTZo0kUGDBvktunr1apk+fbrp79Onj7Rv396zzKhRo0TPPTk5WW6//XZPv/sJgWS3BI8IIIAAAoVVgECy80eeQLLzxygWRxhPgeSFzzwkB79b6MdUq1sv6fz7f/j10+EvQCDZ34QeBBBAAAEEEECAQHL8XgMr/v572Tn9M9sTaP/0n6Ru2kDbeU7qtAtd6vGVSCwv10z6RopYRVJoBVeAQHLgsbX72SiRmCQDPp0XeCXmIIAAAggggAACCCCAAAIOESCQ7BoIAskOuCC3bNkia9as8TuSaISRjx8/LqtWrTIh20aNGpl97tixQ8aPH2+ep6SkiAaOfduiRYtk3jzXP/hbtWolV199te8iZvrUqVPy73//WzT8csMNN0jDhg09y+3du1c+/PBDM52amipDhgzxzHM/mTp1qqxbt85M/uxnP5POnTu7Z5nHSAeS1WLGjBlm296B5MOHD8vo0aNNf1JSkgwfPjzbcejEG2+8IXq+2p588klTSdlM/PTXypUr5auvvjJTaWlp0q5dO+/ZPEcAAQQQQCDuBQgkO38ICSQ7f4xicYTxFEhe/sJvRX9Z69uqd+giXf/2hm+3M6atfwud/mGXHNu4Vs7s3ilZZ05L1lnrj/UoRUSKl020/pST4uWSJLFOPanQsKl5jFbogEByZC6L9EMH5JT1teDph/bLuYP7Jd36c/70KWssy5oxLVmxslRs3FwqNW0p+jxSTb+KPH3/Xmu/B+TcYeuP9Zh19oyUrFDR7KdUpSqilQCrte9sAiyR2m9etnMxM0NObt9i/dksZ/fuNserx3wh/awUK1FSSlerIWWsP6Wquh71eclKlaVIEWcHbzJPHjcV29MP7jPjoI8Zx49Z7knWWFSSUta4l6xYRSq3aCPlkuvkhTAq6xa0cdFr6tiGNdYYHJXzx46ax0x9bv1clrKup7I1a0uZWilSrlZtSaydKgllykbFNVobvXg+U46tX2P93B+UjKOHzZ9z1uPFjHPm519/9vW1xvXa08K65mpH61Aisl19Dzy+Zb157dTXMfPzc/SIFLMKI+h7YomkClK+QWPrNbRVRM9FX6tP79lhXkMzdL/Wa3j2n1vL0bKs3Fx/bp1jWNDGXy8iPafjm9a53s/cr6PW+1qxkqWt189K1nVdSUpY13SFBo2kYpMW+fKeQCA5Ij/e+b6RLOvzxJc395EL1uuhbytZvqL0nzA7LsK8u2dNk2V/+7XvKZjpn/3rffN5wnYmnfkmYF63Nn4v544ckkzrPVjfh/U9OSv9jPVZo2q2z7P6WaN01eohH5sTAslOfa8piIFkJ74Hhnyx/rSgU6+XUM4j49gR698Na+XUtk2Seeqk5/9nLmVlef49n2B9Hi1r/duhwmVNpXz9Rtbnk5KhbJplEEAAAQQQQAABBBDwEyCQ7CIhkOx3aeRvx9atW0Wr9Pq2aISRdR+ffPKJaAC6SJEipupvrVq1xDvkqyFhDQv7tkuXLsl7771nKh8XK1ZMbrnlFtsqyRpMmj9/vtSvX19uuummbJvJyMiQl19+2fTpNnR+3bp1zfSxY8dE1z158qToD6c2naf78W4aVtbQsjY10irJgZqep56vtgYNGsjgwYP9Fl28eLHMnTvX9Hft2lW6detmnp8+fdpUhXavoPO6dOkietxHjx4VXU+3n/nT16rdc889UrVqVTl79qyUtX4hrc1723bhave2eUQAAQQQQCBeBQgkO3/kCCQ7f4xicYTxFEhe/Nyjsu/bOX5Mda+6Vto/+Ue/fruOHdMmmRCM9zwNqNXo1N27K8/PD69cKtunTJDDK5eYQFxuNqi/7KrapqPUSRsgNa/oaUKbuVk/2LKxCCRrgG7vgtkBD6tqm8ulfL3/3bwacMEIzjhqBfuOb/reb4v1+t9g/bKxlF+/dlzKOm+dx9ey84tP5PCq78S689Z2Od/OGh27SdM7h5uAsu+8UKY1+Lp7xmTZ+eWnVpBuZyirSNGEBKlu7bd27/5Sy7qGihYvEdJ6kVrojBXC/+HrL+WHebPk9K7tFtWlXG26aEJx62fgckm5sp/U6nqlFdhPzNX6oSz8w9yZknHscLZFS1g3BujPXbCmv7ze/tl/Rde/dCEr2KKeeRpsrNGxu9To3EOqtetk3Yxg3Y0QgxYP45IblsyTJ2T/t9/Ivvmz5dCKJSGPh/48JHfvLakDBkvVVv/7ZqxA+9YA68Fli/xmp/RIMzcA+M2IUMcl65vJDi1fJD98M92892mIP9SWVLe+1OzSU2p27SmVmrSM+DWnN0To66Fvq3F5VymX4vq/Pd95On14zXLZZb2G7rVeGzTIEkpLSm0gTX7+gKT06BPWeeh+9lrXyC7r/V/3H2rTG0rqWK+hyVdeLSXLVwh1tYgt5+Tx15MM531U19NQ+I4p42XHF5/K+VMntCvHpv7VO1wh1a3ParW69spTKOiU9Z50aMVi233ut67pw6uX+c1red+jUqRE8PfR1KsGxd2NDn4nGqcd+nl71ct/sT36+gNvkjaP2Id8bVeIYafeqDFt8JXWe9kFv6NofOu90vzekX79OXXo569tn33st5h+7tbPWfnRMk8ckz3W+5hvy+3n/wNL5suZfXuybUbfz+tb7+XRbGp4ZNUy2TN7mnkv0RugQmrWZ73KzVubz+IpP+trbrQJtl6sAslOf69Rs0gFkk9u22x9DvB/ja/dq3+u3+fj9T0w2DUYyrx4uF4CnYd+nt/++XjZt/Abc2NvoOXs+vVm8YqNmkmK9bmwdi/9XFjRbjH6EEAAAQQQQAABBBCwFSCQ7GIhkGx7eeRP57Zt20y1Yt+9RSuMrPsZM2aM7Nu3z+wyOTlZbr31Vpk5c6YJRTdr1kwGDhzoezieaQ0Nf/7553Lo0CEpU6aM3HHHHVK+fHnP/F27dsmECROkdu3aZju6jG/TasRalVibhqI1xKtBGa1IrNWQU60w9Mcf/+8/zXS+hnk1UKxt+vTpngB3lSpV5K677jIhYTPT5y8NGmsoWFvx4sVl5MiR5tG9mO5Xj1crRGtTj9tvv90928zbvn27Z7qkFRIoZVVu0WC1Vog+ceKEzJkzx8zXeZUqVZLWrVubP9o5btw42blzp5nfuHFjue6668xz/kIAAQQQQKCgCBBIdv5IEkh2/hjF4gjjKZD8zUNDTTU9X6cmQ++TZnc/5NttOz31+p9ZAeGT2ebV6tZLOv/+H9n6wp3QkOKG9183FRjD3Yb3elopssF1t0gjK4iQUKq096ywnud3IDn9wD6Z/8R9cvbAXtvj1V/odXj6z1LEutkzP9v6916VjR+947fL/uNnWRXOqmTr19Dphg/+LTumTvS7drItmMNETSuMqsFkrYIdStPwqB6n/tLULpwSyjZ0GQ2dXP6bF0QDitFuB5YuMNf/8c3rI7YrDZtcdv2t0vj2X0jxMq4bfiOx8bmP3iVHv3f9f4R7e4m160nae5+6J7M9aiBVx0MreualVWnRVlo//IyptJWX7eRm3Xgal1DOS19P1r7+ouxfPE9+tG6Yz0vT8KzeiKDh5EDXV36HhPTmh03/HS3bPv1vnl5z3C76mtN6xK9MMMrdl9dHDYAveOp+v81c/uu/SW3rRgLftsu6qWLT2HfkjFUlPdymr2VN7nxAkq1Aaiihfg1wr//gddn91ZRc3xjkfYwlEstLuyd+b26O8O6P1vN4GH8990Dvo9dY1WjtvhngzN498v1b/5D9i+bm6ee2TPWa0mr4k6Kf3cJpO6d/Liv+/rtwVg26Tr+PvhQ9Nlr+C8x/8hfWDYBLbXfc/e9v51vw1vYActmpgcmL5zP81jLfpFI71a8/p44fL16UT6/yv/EmP4Pa+pnwmwdv8zvUNo88K/UH3uzXH6gjUqHUQNv37dfPF1sn/Ee2fPKRqYLsOz830+ZGQeumistuvjPgjVB81ggsGqmx1xsKV736gt+Oer81Ptefy+P1PdDv5EPsiJfPJnanc8KqgqzfgBDofcJunWB9+v8WepNB82GPmKrowZZlHgIIIIAAAggggAACKkAg2XUdEEiO0c+DhmBXrFjht/dohpF1ZwcOHJAvvvjCBIB1WoO0F63/qNLQb/v27U1IWPsDNV1Wg77Lli0zy2r4OCUlxYSUd+/eLR06dBCtJqxhY7t2wbrjf/bs2SZU7A7IJCYmmsrErVq1Eg01a1XjRo0aSZMmTUyV5ASr0tO8efNEA9wahvZuSUlJZhndb7Vq1cwsPUcNWbuD1+7lNcCswWCtgqxVob/++ms5deqUe7Z51G2ohVZ4Tk9Pl2nTpok7lFzUuitWj6l79+5SoUIF0SrKkydPNi8mOt2xY0fRc9CQsp6Hhqy9mzrpH90+DQEEEEAAgYIgQCDZ+aPo/rzl/ajP9dsv9HNdlvX1hOfPnzc3XOnnFFrhEIinQPKXt15lvq7ed2TaPvZbqXfNjb7dttPRCiRrVbNVo56XPVZV2Gi00lWqScvhT5hffuVl+/kZSNbwkYaRtZKmXUvtd520ffw569+LRe1mR7Uv0C+RfQPJGqhe8scnJGIBW+vfxu2f+qPUTQt886+euAa2lv31WesroEOviBoMTKtuayAx9errgy0W9jwNT69540U5sGRB2NvIaUUNuLUe8XSefwbc+wk1kKyB9HXvviJbJo4JuSq2ex+BHrXKVoNBt0hT60aKQCHYQOvmpj8exyXY+Wkwf+vE/8iGMW/KxZ++oSrY8rmZV7ZGsmiYVqvi+rb8DAlpddaV//yT6NhFtFmvPVrtt8UvHvO76SKc/YQaSL6YmSGr/vUXUcNINX0da/d48ECpVpNf/NxjEbs5SI+9wbU3S8sHnzIV6CN1Lr7biZfx1+MO9D5qF0jePXOq+Yx04Vy67ymHPV3dqsat72tagT43jUBybrScv6xWr8bIYCEAAEAASURBVJ0yqLvYVZDXzw39x8+MyedMp8gRSA5vJE7u2CIrXvxd5D7/uw/Dei9uMGiItLCqrvt+IwufNdxI/o/xHkh20nugv27OPfH02cT7bPSmgi3j3rNuTnsjTzf3em/T+7n++7rxkLul0W3DovrZ0HufPEcAAQQQQAABBBCITwECya5xI5Acg+tXq+YuX77cb8/RDiN771CDuBrY1SCtBnU19JubpsHigwcPmj8aPq5Zs6apdlwsxCpXZ8+elSNHjkjp0qWlcuXKnirHGojRVqJE8K/Fy82x5nXZM2fOiB5vxYoVbY9L55crVy6vu2F9BBBAAAEE4k6AQLLzh8w7iKxHq9MEkp0/btE+wngJJJ/d/4PM+PkAW44rnn9VanTsZjvPtzMageSMo4dl7qN3ix5jtFuzOx6QJtafcFt+BZJP795hwsgZx47YHqoGu1qPfCakKpe2G8hjZ6AglXcgef+3c2T5i8/lqbKm3WFqVSWtyF2zi83NqdbrsoYt9Y/1Am23ep76Ov72RSvQm5anbfiurCFkDW1r8DDqzfr/Bg2gaZgjry2UQLJWc/3uL7+KfCDlp4Ov1KSFdLOqN0ai+rmvR7yOi+95uKdP7dwmS//8lOhjtJpWMGx+9whpaFUwtBJsnt3kR0jIBHetm1q0knA0mwbgu/zlFanSsl2edhNKIFm/GnvJH56Iypg1vuVuU5nO7iT0tXvZ334dsRs6vPdh3rsefta7KyLP42389aQDvY96B5I1JLrq5b/I7tlfRMTJdyMlkirIz15+XxJzUTmWQLKvYnxPn9q1XWbde4PtSUTr59V2Zw7tJJCcu4HRgPsm6xtUNn74thVgzMrdyrlYumyt2uYGRf3WDHfjs4Zbwv8xXgPJTnwP9NcN3BOPn03cZ6M3MS75/S/Nt6m4+6L1WKNTN+n03EvWTQYlo7ULtosAAggggAACCCAQ5wIEkl0DSCA5ny9krZyr1YV9W36GkX33zTQCCCCAAAIIIBCOAIHkcNTydx0CyfnrHS97i5dA8qaP3pZ1771my9rnnYmSlHqZ7TzfzkgHks+fOiHzHrtHNBARrCXWridlayabr/PWr/QuXa2m9ZXMmXLu0AHrz35JP3hAzh7YG1Ko+bLrb5NWDz0VbHcB5+VHIPnk9s2y4KkHJPPEMdvjaHjTHdLy/l/azsuvzkBBKncg+Yc5M6zw49MBD6dMtRpSrV1n8zWtpapWl+Jly8l5q0r2hdOn5NTu7XJk9XIznoE2oL+w7Pq3N7KHAq0A8pI/PSV7580MtJpotb/qHbpI2eq1RPdbIjFJss6ekSxrvxqePbJmuVURdGfA9TX4+rNX/iPl6zUMuExuZmh4YsXffy8aeAnWtPpsWauKZelKVaVkpcrmsYT1qDc06/FfsP7o8Wsl6lM7tuYYAtHrX38O8tJyCiSr5aLfPBww1FisREkTgktKbSCJdetb51fH/EzrNZB58oSc2LpBjq5bLVo9PVjTX2J3+ePLokH1SLV4Hhc7Aw0hz398mOV63G52tj4NFVdp1d68J5SyrrGSFatIsVKlJPPIYTl39JCcO3JIjqxdGbByu26suvW16h2e+YuULF/RbDvaIaELGedk0bMj5LB1zQVreo1UbdXBut7qmSrHpSpXM+emN35kHjsqGda5HVq11PabBLy3q1UZu/zpZes1rJN3d66e5xRI1gr5Xw+/xbZqqe5Ig9Fa4VZDWfpaVqpCRblw7pz183JKtDK9/vyd3L7Fui/jUsDjamlVezbhca8ltn46Vta8/mLAGzr0tVfHt1xKXSlj7bdkpSpywbqZ4oJVqEGvjyNrV5jXoWCvae2e+L1ohf9ItXgcfz33QO+j7kCy3qy14Kn7A34+0krxZWumWD+rDcyfcnXqm/eE89Zr6AXrOtDPVUe/Xynp1uekYE0/U/V8ZUzIlb8JJAfTjL95ehOH3jxm17q98G+p1r6z3axC00cgORdDbX0OX/HSH2Tn9M9yXCmhdBnrs0Y7KV2luvWnmpSy/mifvu7pv+3SDx+0/i3wnfk8GGhj+g0xze8dKY2sG2y08VkjkJRYwdLHZe+C2dkW0H8DDfh0Xra+nCa2f/ZfWfXqC36L9X5rvJSv38ivP1hHvL4HBjsn73nx+tlEz0E/Oy77669z/OYq/dk1nwetzxFlrH9b6//PFC1eXDKsb3fS/5tJt/6PRn+eT+3aJlptOVjTmwu6WDfJR/Obb4Ltn3kIIIAAAggggAACzhYgkOwaHwLJ+Xid7t5tVdr57ju/PRJG9iOhAwEEEEAAAQTiQIBAsvMHiUCy88coFkcYD4Fk/aXSrHtutP3q9VKVq0q/j74M+WsyIx1IXvDk/XJo5ZKAQ1ejU3dpeudwqdioWcBlvGcc27BWtlmBKg2lamWfQK3D03+WOmn2FaMDraP90Q4ka6B04dPDrarCJ20Po8nQ+6TZ3Q/ZzsvPzkC/RNZA8o8XL8is+27yC5Jq0FFDaCl9rpEqzdtkq6Bqd+wntm6UDe+/HrAyk4ao+n4wxXPtbvt8nKx+5a/+m7JCu3V6XS11+l4rVdt2FA1xBWsa7N1gfTXtD9/MsA3z6S/ce785LsfjD7YPnbfv2zmy+HePBQz+aXiy1hVXSn2rmnHVNpfrKiG1LKui5u6vpsj2zz8OGK4umlBcer89IVdVMX13HiyQfGCpVfX5D49bVZ8zfVeTSk1bWZVZHzZBFA2TBG1WuEVDyZvHvy/7F80NaJXab5C0e+IPQTcV6sx938b3uPiep4YSTRg5wA0O7uX1tVZ/RqpffkXOYQBrXDT8u2fmVPnBeq3VCna+rXKLNtLjpXdNUDyaIaEL59LlWyuMrEHYQE3fP+pefb0k9+jjCUkHWlYrqx/buFb2zp0pO6ZNskK+6baLaqC+0+/+LuoWTgsWSE7pkWZ9a8Bdou9nvk2/zaBu/+ulprXfosWDfxuaBq03jX3XnMelLNc3qHlvT3/++oyeZL0O1DPd+po7Z8Tttu+dGhRJHTBYanW90oTGvLfj+1wDsVsn/ke2fjLW1k+Pu9+H00Q/f+S1xev463kHeh/VQLKGvPXzkd03R5SuWsN8Dkjp2Vf0Osypnd23xxqLj2Tnl5/avibr+uUbNJIe/3wv5599a9nM40fl9A+7bHe7/bOP5Ye5X/nN6/rX16zwf2m/fu8OrXif0zXtvTzPIyOw6uXnZfuU8bYbu2bSHOs1s4LtvMLSSSA59JFebQVVt1mB1UBN33P082ydvgOlVvfeOX67hf47bv/iubJ7+ueinyttA43WZ/xOv/0/6/09LaqB5Hh+r9HxiLdAspPfAwNd39798X69bPzwLVlv/Rs8UNMbc5v8/BeS3L1PSP8eTj+43/y7VP8fJdiNpvr/BHrTGg0BBBBAAAEEEEAAAV8BAskuEQLJvldGlKb37NkjS5cu9ds6YWQ/EjoQQAABBBBAIE4ECCQ7f6AIJDt/jGJxhPEQSN466UNZ88bfbXma3zNCGt82zHaeXWckA8kaWllqVbS1axoga/Pob0IOIvtuQyts6XlvmTDGNlRaIrG8pI3+xFTM9V032HQ0A8nHNqyRhb960FS8tTuG3I6V3TYi1RcoSNV/3Ez57vln5PDq7N9kVLFxc2n3+O9yXT1Lj3ebFXBa/erfbA+97WO/lXrX3GiqA8/+xc1W2Coj23IatGv7+HPi/ZXO2RYIMvGDFUj87vlf2VYvvuIvr1pBxG5B1g4+SwNds4YNtq1Yq4HpRkPuNkFkrTwVbtOvyv7+rX+ZIJrdNjQU0v3vb9vNCqkvUCC56V0PWlW1nvELNWoFLQ0iJ3frHdL2fRc6un6NCXCrnV1r+8vnpF5/+6+dt1verq8gjIv3eWnV+Dkj7zABQu9+7+f6WtvigcetysHtvbtDfq6vtSv+8Uc5sGS+3zqNb7nHjHm0AslafW7hr4ZbVWBX+e1bO7T6X/Nhj7iuCyu0lNum57b2zX8ErBCnwf4rX/8orNe1YIHkM1aIfIMVBvFupaxKxK0ffiasnx8N9X/7jPXeYhMcr23drHH5s38VDSx/Pfw2ObVzq/dupXi5RFORP9UKdOe2nd69Q+Y/cZ9oMNq3Nbr5TmlhVWjOS4vn8dfzDvQ+qq/L3/31WVMp1NtHr+fGt94r9a+7JaQgsve6+lzHQW+CsQu663z3taDPw21r//2SbJk4xm/1gZMXhhR29luRjqgLfPPgbaaque+O9DVHbzIr7I1AcmhXwLp3Rsmmj0cHXFg/j1/+7PNSoWHTgMsEm6E3bC77269F31d8m/n2kpc/kBPbN8nyF37rO9u62WJ09m9U8VsieEe8v9fo2cVTIDme3wPVOt6vFw0Pz7znOtsbmPQGlTaP/DrkILJ6eDe12W19O5D+/5nevGbXqMxvp0IfAggggAACCCCAAIFk1zVAIDkffhb0YluyxL+CFmHkfMBnFwgggAACCCAQNQECyVGjjdiGCSRHjLJAbcjpgeQzVhW72fdrUNO/Uql+9frV/50hJZJCr34WqUCy/oJ/+u3XyDnrKz19m4Ygev3745C/Ptx3fe/p/d/OMQFZ/QWYb6ubNlDaP/0n3+6g09EKJB+xqo1+++uRttUk9YBaDX9CLrvx9qDHlp8zAwWpGlhBKQ0Qe7cmQ4dZVa4fzLEysfc6vs+/f/tfsnnc+77d1tfD1pS09z6TBVboTQOr3k3Dqa1H/ipPFRe3WtW217z2f96bNc81vNn9H+/69YfaoWNtF+AsVrKUdPz136TmFT1D3VSOy33/1j+tCsMf2C7X7f/elGrtOtnOy6nTLpCsrymXsrL8qtg1uPZmafXQ06Zabk7bDTY/3fraX632a1c1VKutXvWfqaLHEG4rCOPife4a1j24bJF3V7bnzazq801u/0VI1c2yrWgzscuqyq03DmSrlmyFgLUyaoYVIo9GSEgromtldLtWpWU7U8G4ZIVKdrNz1ac/q0v++KTfDQ+6EQ1093z1w1y/vgUKJNcfeJOpaOxdCbL65V3N64KGg8NtWl1SK0n7NneV5F1WBUrf11i9kaTLn17O03vxyW2bZfYDQ/yqm+tXcvezPn8UL1vO95BCno7n8deTDPQ+mlC6jN9nAa0sf8Xzr1gh+/Ih+9gtePF8piy1ruX9i+f5z7Z+XvWzV4UGjf3nhdhDIDlEKIcspjciTB54hd8NRHp41dp3Fg2GFfZGIDnnK0D/rbXouUcDLlh/4M3S0rrxKS+fz3Tj+vq1/t1XZIt1w6lv038PXHbdrbLGuonIt+U1kBzv7zXqEU+B5Hh+D1TreL9e9MbiPV9/qaeSrekNs/qeoN82lNd2es9O8/8e+g0Ovq1sjWTp+58puf5c7bsdphFAAAEEEEAAAQQKlgCBZNd4EkjOh+t62rRpkpGRveoRYeR8gGcXCCCAAAIIIBBVAQLJUeWNyMYJJEeEscBtxMmB5PQD+2TB0/db1WP9f9mjA6GVZbXCbG5apALJh1YuMV9H7rtvrTjZ/aV3pHLz1r6zwp7WX6rpL9d8m341eP/xM3MV8IlGIFmDaYt++4ht2E2sgFAbqyqm/jLfSS1QkMr3GBvfcrepUOrbn9vpzJPHZfpt/WyD9RrU0urS3s2EzZ/6Y56Dlhp+mD60v22F2av/O11KV63hvduQnmu10rmP3Gm7bKffvxRWBVTbjf3Uqeeg1aP15gTfpuFHrXQVTrMLJNttp/6Awa59hFGh1m57Gjyf9+hdfqFnXbblfY9KwyF32a2WY19BGRf3if4wZ4Ys/fPT7slsj0UTEqzX/uek7lXXZuvP68RhvbHCqvKu15y7lSxfURre9HP53qqe6NvyEhLSKuxafdcqge+7Wane4Qrp/Id/WOGnUn7zwu04snaF66YRmyrDLa1Kvw2tir+5aYECyb7bqNq6gxVEfS3PQS7dbqBKqBo8PrF5Q7ZvEyhfv5H1Xvx2rt4ffY/dPa1BNQ2s+bYOT/9Z6qQN8O0OaTrex19PMtT3UR0fvXkkL+Ftb1StSjhr2I1+FZh1mRodu1nX26vei+fqOYHkXHHFfGGthDl96NW2x9HQugmupXUzXGFvBJKDXwH6zSQz77le9Fqya60ffFIa3DDUblbYfVsn/Mc2eKyVku1uQC3MnzXcyPEUSHYfs/sxnt4D4/2zif78TLuhZ7bP8e5xCOezrntdu8cze3fL1/cPsf2ZveIvr1jfRNTdbjX6EEAAAQQQQAABBAqpAIFk18ATSM6HH4BJkyZl2wth5GwcTCCAAAIIIIBAnAoQSHb+wBFIdv4YxeIInRpI1q9dX/D0cNvAiTrpL217vTlOyiXXyRVbpALJgaoHaYXd1iN+latjCmXhpX96Un6YO9Nv0TYjnra+/vxWv/5AHZEOJB9YskCW/OFx21/8aeXKdk/8PuKhwUDnlpv+UIJUWhW39cPP5mazQZddPep52TZ5fNBldGZyt97S8bkXI1ZZadPYd2Sd9dWyvq3DM89Lnd79fbtznF7+4nOya8Zkv+VS+w2yxvsPfv2R6Djy/UqZ99g9fuFN85Xs46yfizDCwqEEkrVKtbnpIYztBzvv1a++YFXi/q/fIuUbNJLeb+Z8jfitaHUUlHHRc8s6e0Zm3n2dZBw7Yneq0sn6+UjukWY7L6+dWk148e8ey1Zxs0ixYqKhLt8WbkhIAxOz77vJtlK2Bni7vvCG6M0tkW76czT/l/f6heG16mPvtybk6v00lEBypSYtpNuLb4lWC4xE0/dAfS/Mqenngp/96z0pWbFyTouGND9Q2N+8PvzyuZC24b1QQRh/PZ9Q3ke1ArcJI+ehOra3nfv53gWzTcVM97T7UT93XPPJN2EH0QkkuyXj49FUMLe+RcWu6ecR/VxS2BuB5OBXwDrrZqNNH4+2XeiyG4da3/CS83uO7co5dG744A3ZMObNHJZyzS7MnzXcQPEaSI6n98CC8Nlk77yZ5htB3NeN+7F8vYbS++0J7smIPeq/6/Xf975N/y2vN+nSEEAAAQQQQAABBBBwCxBIdkkQSHZfEVF83LB+vWzfsUMSExOlfv36kpKSEsW9sWkEEEAAAQQQQCB/BAgk549zXvZCIDkvegV3XacFki+cS5dNH71jvs5Wv4rZtlnhwE6/+3tYlVgjFUieNWywaGjat13+7F+ldi/7am2+y+Zm+uR262vjrSqxvq1Cw6bS6w3/YKPvcu7pSAaS9y38xgqHPWUF97Lcm/c8aoCvw6/+IrWv7Ofpc9KTnIJU+tXJfd//XLQKdaTa2f0/yFd3XJutiqfvtrWC5FVjpkqJpAq+s8KezjpzWr689SrRny3vZir/Pvob764cn2tQ9Iub+/hVw9aKtVf/d0bEAoB2B7LQqlx7cNm3frM0wKtB3ty2nALJlVu0kZ/9872wws45HYtWe/7qLpuglPXaNuCTObkO0xWkcVG7QO9LOq+BdQNGa+tGjGi2rZ+OlTWv/V+Ouwg3JBQo9Kg/R73fniiJtVNz3He4C6x752UrfGVd1z4ttzcU5BRI1q/G1pBzUmoDnz2FP/njj5fMa6i+lgZr3V58U6q17RRskVzPs3u90HFKe++zXG+rIIy/nnRO76PFy5SVvtb7mVYZj3TTa2H6bf3l3OEDfpvu/Id/Sq2uV/r1h9IRaGwGTl4oej40ZwmYap6PD7M9qJ6vfih6U0RhbwSSA18Bp/fsMDcHXbpwwW8hfQ3RQKHe5BCttvyF38qumVNy3Hxh/qzhxonHQHK8vQcGev+Lp8+mq1/9m3XD58fuy8bzGM63anlWDvJEXzv039iZx49mW0rN+o+fFdF/z2fbARMIIIAAAggggAACcSdAINk1ZASS4+7S5YARQAABBBBAAAFnCBBIdsY4BDsKAsnBdArvvEDBr8Q69SRt9Kf5BqPh3h++mSE7v/w0YFVMPRj9xXDrh38l9Qf6h3NDOdhIBZKnWl8Hev7UCb9d9v1gilVlsrZffyQ65j58hxxdvyb7pqwA47WfL5CEEIMykQok/zBnhnz312dtq4ZqZc+Ov3lBanXrlf1YHTSVU5Cqw9N/ljppAyJ+xNNv6yfph/wDVO4dtbh3pDS69V73ZMQe7a4drdp15f+zdx7wURR7HP9DCKGFhBIIJfTee+8dpDcVRUERuyKiz/54+lQUVKSINFFAERRBiiCh9y69ByFAKKG3FEJ48997e95tudwlu3d7l998PnC7s7szs9/Zu93Lfec/3/zkUR1nVi+jHZ+8rTqmeMsO1OD9tAVO1YEeZOiJlOmdFldLMHRsTosvp1PBGnUdswxd5ki18ft2qcps/N9xVKRRC1W+q4xA6hebaNhZiIYXVaccXq4StRo/09CBAqpKRMaD1FRa8/yjdD3mqNZme156JCFpgMAjHTSneK7w8CCq9swwe/lmLPBAn1ViiulbsX87Fc9RjFmecDeacVpCcqlOPaUI+U6VGLCSlsBVuF5jajpqkgE1ORdxcPp4OjpnunOmWOu+eLPbzPjgQOl/Ppe07qNVBr1AlR4fyruakg7P/Jb4nzKV7/cEVX92uDLbrXU9IQtCslv4vL5T3MbVtHWkdl93nL2UckcW83qbrFYhhGT9HtGb7YZn4ekwczHxLBxmJv4eybNBJN1Qf590rDczP2vIHPxRSPane2CgPJts+88IOrdhpXzZ2F9ri9kseFYLM5Le82F6v5+a0UaUCQIgAAIgAAIgAAIg4HsCEJJtfQAh2ffXIloAAiAAAiAAAiAAAn5JAEKy9bsNQrL1+8gXLfSakPzgASVdv0p3hWSWIITMuyKqXaJYZjmTo/8q5SgtFkEhOaj+u6OoaJNWWpvdyjNCSOaIwAs71VfVx+3rsXSrKt+oDI4cfXDGBFVxnoiTRgjJsdFLaNfoDyRpT9mYoOwhUkSxyAbNlJsste5KpOKInjytqxlR0dYPG0yXD/ylySIkXwHqNPsPCgoJ0dyekczt//0XsUTumHIViqROPy13zEpzWe/zovFHX1ORxi3TPD4jO8Su+oN2CglemdI7LbsrIblw/abU9NOJyqoMXdebrrvO6/+mUp17eVRXIPVL/J4dtGHEM5rnnx4pR7MgNzJ58Me6V58UdvID3b3T054Tv86ifd+qp3HOWbCQFG3XXSFYt1FubODP8J2fvafas86IkcQisTvJlZDMkeE6zlpKOSMKu1OUR/scmjGRjvw4VfeYNt/+TCyuG51OLv6F9nz9sapYT6XHQOl/BuHqPspRkZmNmdez3mdFiXYPSTM0qDrLjQwIyW5AstAup5YvpN1jRmq26KH5a0V07nDNbZkpE0Kydm/z4Jw/+ren5Fs3VDtUHvgsVX7yeVW+GRmnVyymXZ+/77LozPysIYPxNyHZ3+6BgfJsws/tVw7ulS8b+6uZEfOvHNhD/J1SmaqIz5BK4rMECQRAAARAAARAAARAAASYAIRk23UAIRnvBxAAARAAARAAARAAgXQRgJCcLmxePQhCsldx+01leiKb1U6gYLXaVOeN/4jowyUy1DRDhGTxI/bCLmI6eA1RzUwB4uLOLbTpLfUP5DWeH0Hl+jzuFpeMCsl8/J6v/itOPVVVH0cUYzE1onYD1TarZbgSqcz8AZGjC3M0W61k1nSyXNeBKV/RsXk/OFXLohhH9/QkaQkBfPxDv6wiFqrNTDxwYdVQdWT0akNepQqPDPa4aldCcptJcyi8fGWPy/TkgPNb19OW915RHeLJ+1k+OJD6ZfeYf9Op5b/Lp2Z/LVC1JrX82vkatm80aYEjb3IETr3kqSTEn5srnuhOd86fVRXJg22iWndS5ZuRwSLWMhGlWRmVsUC1WtRy7PduVelKSI6oVZ+aj9GXht2qQGcnvXsY756neEnq8L362tEpyqPsC9s20uZ3X1Idw1HmOdq8OymQ+p/P19V9tMZzr1O5vgPdwZLufe7dvUOLe4jBT4pnsSJi0FrjD8emq1wIyenC5rOD9CQ6blDP5TuIZ+zI7AlCsvYVcHZdNG3/6A3VRn6W7SiiI5s5mEJZ6ZoXBtC1Y4eU2fb1zPysIUPQes7NHpqXui5YL+/i1uvJhXNoz4TPVPu2nTKPwspUUOW7ygiUe2AgPZvoCckNPxhNxVq0d9Wd6d52PymRFnVrohqonZFnkXQ3BgeCAAiAAAiAAAiAAAhYlgCEZFvXQEi27CWKhoEACIAACIAACICAtQlASLZ2/3DrICRbv4980UKrC8k8XW5FMeV3mW59DYlYa4SQzP207NGOlCAiPCtT01HfUOF6TZTZhqyzfBMjomsqU3jFqhTZsLkyW3NdT+ZqNX4W5a9cXfMYOTNm4c+0d6L4EVch//D24Fy5qfEnE4jFcX9Irn5E9kQw8/RcD04bR0d//k7zsEZCoMpI9G/NQv+fKfXdhFGqXTwVdqKf6qWKZp6jQAR1mRutKtvojAQRVX3Zo2phs6KQkasKKdnTpCck54yIpM5zPIsc7WndvP/dC3G0/PEuqkMrP/Ec8T9PUqD0C4uyS/u0Jv6sUyYWDPnHfW8mPWlcboOnkpBeeRE16lLzL6fLxXrlVWuQAlfccdYSyl2keJptcCUkVx/6GpXvL6JLm5Au7twsBua8oFlyuT6PUY3n1YKZ5s4eZt48dYJWDumrOqrpqEnint9Yla+VEUj9z+fn6j7q7nWkxcmTvOWPdaa7F887HZKR9xOEZCeUll/Ri5ieNTg79Vy23dT2x+/bRQenpk98T2/DSnftRyU7dvfocAjJ2rh4gAkPNFGmSo8NoSqD1YNPlPsZua733UyuIzM/a8gM/E1I9qd7YCA9m+wc9S7FrlwqXzb214qPPCW+K6oHgdp3yODCiQU/Ucqtm06lBIuZIsr2eNgpDysgAAIgAAIgAAIgAAKZlwCEZFvfQ0jOvO8BnDkIgAAIgAAIgAAIZIgAhOQM4fPKwRCSvYLZ7yqxqpCcJSiIqg5+kcr2GkBBITkM42qUkLxh+NPEMoIyle/3BFV/drgy2zLrej96pyUkHxfRdfeLKLtaiSNUsZSVT4jR/pL0RKqQ8PxStF9hv5tyKnpiMEfx67pgnWkR2TjKK0d7VaYu81YSS//uJp6WNjX1vtPuwbnzUHjZik55ZqzwFLwc+UqZKjw8iKo9M0yZnea6npDMUWo5Wq3Z6d6d27bonoqKyoto59VF1HNPUqD0C0cI5EiBysTXqCS9m/S+VNYnr7PI9QdHEr52Rc5yevVUEuJp2Xl6dmVq8P5oKt7SnMhtyrrk9Ut/baONb6inkq739idUoq1alJePk19dCcntpv9GeUuWkXc19FVPDOZKPJGDPW1UshBNlvRqoTrMk8jWgdT/DELvPiq9X8W9xRtp9bMP0/WYo05VhZerRG2+/dkpz90VCMnukrLGfoe//4YOz56iakxIWDjxjCVmprhNa2jrv18zswpV2VWFKFtRCLOeJAjJalpSRNPuTYnZKBN/dvBniDdTSsJd+qN/O+JXrZSZnzVkHv4kJPvbPTCQnk0Oz/yW+J8y5a9UjVqOn2nI4HZl2VgHARAAARAAARAAARAAAXcIQEi2UYKQ7M7Vgn1AAARAAARAAARAAARUBCAkq5BYLgNCsuW6xBINsqqQzHDyFIui8g8PppIduhk27bJRQvLuMSPp1PKFqj7MkiUrNf7vOBGxWEwjbsGUHiH56I9T6eCMiZpnEyKi/zT9/FuvCKmaDUhnpp5IxRGKOVKxWenk4l9oz9cfq4rPV6EKcWRms9L5Letoy/vqKMJmioNGn8uZNctpx8dvqYo1Wkiu9dK/qEzPR1X1GJ3BUyQv6FBXFXG8VKeeVGfESKOrM608I/tF7/PJW5K4FqT9k8bQ8fmztTaRp5LQnwO70p3zZ53KCsoeIsS5NaYNRnCqzGGFxafFPZqppph2d1CNnpDMAxS6/a6OOulQdYYWb535m6IH99Iso/vizaZxTBFRuxcJgU2Zar7yDpXt3l+ZrbkeSP3PJ6h3Hy3WrC01HPmFJgOjM7UGh3GEb45OmZ4EITk91Hx3zAnx2bxPfEYrU0auAWVZeusQkvXIqPP1BhvVevUdMQOOe5+fXKpRUioP4uJBacrkjetGWae8/teXHxI/A2mlzPysIfMwqu9PLpxDeyaI2X4Uqe2UeRRWpoIi1/VqoNwDA+nZJDZ6Ce387D3NjjM7SrJmpcgEARAAARAAARAAARAAgf8TgJBsAwEhGW8JEAABEAABEAABEACBdBGAkJwubF49CEKyV3H7TWVWFpJliKFRpanJJ+PdmkZePkbv1Sgh+dSyBbT7i/9oVsNCVrPPJ1syYrCe8KcXIVnvx1Y+cY4A1Wz0FNMiYWrCNShT77wq9H+Sqg01L+KdnpAc1aYz1X/nU4POTl2MnpDsqeSgLtl7OfwDM//QrExGC8ltJs2h8PKVldWYsr6oa2NKSUxwKrt4q47U4D21LOG0k4VWjOyXveM/pZjf56rOrtaw96hM176qfG9k6E1lzXV78v5JuHyJloloy8pUpFELaRCLMt8b66ufe4SunzjiVFVE7QbUXHyup5X0hGSzB1foCclmRyTUE5KrDHqBKj0+NC1cFGj9zyesdx+t8dzrVK7vwDSZGLHD5ndfpgvbNjgVFZKvgG2mA6dc91YgJLvHySp7nVr+O+0e829Vc/KWKkvtps1X5RuZASHZfZpWE5Jj5v9IeyeNVp2AuwNyVAcakHF2XTRt/+gNzZIy87OGDMSfhGR/ugcG2rPJ7bOnpUFrPOhTK9V+7X0q/VAfrU3IAwEQAAEQAAEQAAEQAAFTCUBItuGFkGzqZYbCQQAEQAAEQAAEQCBwCUBItn7fQki2fh/5ooV6QjILHZUee8awJmWhB0K8S6R7d27Tvdu3xOstSdC5emgfpabcS7MejsTLkYfzV66e5r6udjBKSOZpfqOf7k38w5dW4kjJZbr3oypieuXgPKFau/gkzxMhef/kL+n4LzN125m/cg1qOe57v5z+VE+kMvuHSj0hufLAZ6nyk8/rss7oBj0hmd9TLERaPbH4w6JGakqKqqlGC8k9l+8wLCK7qrGKDI64yqKjY/InIdnofuGIhRy5UJnaz1hIoVGllNleWU+6doWW9murWZcnkpBeJGlviivKk9j+0Zt0dt0Kp+zsoXmp64L1TnlaK3pCstmDK/SE5II16lKLL6drNdWQPD0h2V2BLdD6n6Hq3UebffYtFarbyBDuaRXCkf/5/uaYICQ70gjsZT0pOGdEYeo8509TT16vbjMrrSq+U1R8bIhHVfD3lQUdxWwMilSmWz+q9eq7ilxzVq0mJO/89B2KXfWH6mTrvzuKeEYGX6SE+Iu07NGOmlVn5mcNGYg/Ccn+dA8MxGcTvVms5GuJn09qvfw25SleUs7CKwiAAAiAAAiAAAiAAAiYTgBCsg0xhGTTLzVUAAIgAAIgAAIgAAKBSQBCsvX7FUKy9fvIFy3UE5JDS5Sm9t8tML1JPG18/J4ddHH7JorbtJoSr17WrZMjILab9itlzxuuu09aG4wSkrmecxtXSdMHu6qTRWqOxFOyc09DIjy7qsudbW4JyQ8e0N6Jn1HMwp/TLNKXMl2ajXOxg55IxZFBOUKoWUlPSK77r4+oZPtuZlUrCVssbilT4w/HUpEmrZTZllhn2f/i9o10Qfy7uHOLbpuMFJKzZstGPZfv1K3L6A3+KCSb2S+LezSTBq04cubBHT1X7PTpwAeWhFgWUiZPJCG96M9NR02iwvUaK4v2yvqerz8m/kxSpk6z/6BckUWV2U7rekJyZREtuLKIGmxW0hOSS3XqQXVGaM9aYERbdIXkPo9T9edHpFlFoPU/n7DefbTl1z9Qgao102RixA4Qko2g6L9lxO/bRRuGP606gaCQEOqxdJsq38gMlmxj5s82skh7WVcO76c7cWfs6/IChOTXpe9eMg9+dXcQjeMxKwb10BxQ2nbyPAorW8FxV68u41lDH7c/Ccn+dA8MxGcTjvq84sludD8pSfeCypotmEq06yL+PtPba88ruo3BBhAAARAAARAAARAAgUxBAEKyrZshJGeKyx0nCQIgAAIgAAIgAALGE4CQbDxTo0uEkGw00cAoz9dCsiPF5JvXaduHb0iCsmO+43KxZm2p4cgvHLM8WjZSSOaKtWQYzQZlyUIRtepT0aZtJOE1b8kymruZnZmWkMxTnO756r/E+7mTgkJyULupv1DuolHu7G6ZffREqjaT5lB4+cqmtVNPSG780ddUpHFL0+rVjZDsayFZyO8JV+LpzvmzkhzCsuvtc7F048RRunPhnFs8jBSSg3PnoW6/b3SrXiN2sqyQ7IN+0YviyANQuv621gjc6S5j6wfDKG7zWtXxngjJm999iS5sU19bXeatJB5s44ukd/9357z0hGSzB6noCcnl+w6k6s+9bhrGjArJgdb/DFr3Pjp5LoWXrWhaXzgWrPUMhgjJjoQCe/nGyWO0amh/zZNkIZnFZH9MWvIlnweEZGOE5IWd6qtm5+HBT92XbPHpNbN15HCK27hadcm6c0+WDwrEew2fm9Z7Ij0y+smFc2jPhM9kXPbXtlOEjF7GMxk9EO6BgXq9nBAzPO0TMz25k/hvMsVFZPSIWg0oX6VqYpacbO4chn1AAARAAARAAARAAARAwCMCEJJtuCAke3TZYGcQAAEQAAEQAAEQAAGZAIRkmYR1XyEkW7dvfNkyPSHJWxGSlefOUtq+SaNdRudtOW4mFahSQ3moW+tGC8ncXp4a9HT0Yrfql3diYaaQEJQLimi8ETXrU55i3hF6XQnJ+SpWpV2jP6DY6CVyM916jahRl5p/MY1ECFO39rfCTno/IrefsZBCo0qZ1kQ9IdnsyMy+FJL5PXLr/6LxXSEes3ws/Ys7R3cvxtH9ZP0IVu50hJFCco4CEdRlbrQ71Rqyjy+FZKv1Cw9IWdK7lYorT6nc4fvfVfnezNjz9ScikvA8VZWeSEJrXx5IV0XUS8fEAlSZbn0ds7y6fO34EdGmfao6m3w8niIbNlflO2boCcm1hr1HZbqad056QrLZkZkzKiQHWv/ztaB3H+3wwyLxTFPC8XIxbRlCsmlo/aLgu5cu0PIBnTTb2nnOn5QzorDmNqtnrnvlCbpySP3ZDCE540Ly/aRE+v2hRqpLIHdkMeo4e6kq35sZe8d9QjGL8KyhxdyfhGR/ugcG4rOJfP3wc/vecaOIB1u7m7LlyEkFqtex/40mvFwlypI1q7uHYz8QAAEQAAEQAAEQAAEQ0CUAIdmGBkKy7iWCDSAAAiAAAiAAAiAAAq4IQEh2Rcca2yAkW6MfrNYKqwnJMp+D08fT0TnT5VWn1+It21OD90c75bm7YrSQLNfL7T328wyPfvSSj+XXnBGRVLhuQyrSpDUVqteYgrKbE9VNT0huMXYGnVwwh86uW+HYLPsyT79etvfjtP2jN+x5jgu1Xn1HiHXaUeoc97PKsp5IZbbAoicktxo/i/JXrm4aHm8KyQnxF+j81g107ch+uhFzjG6ePkmp95JNOzcjhWQeGNDhB88GF2TkxLwpJFu9X1hS/3NgVxXO/JVrUKvxM1X53szQux95IiTz9NG3z53xZrPTXVf9d0dRlIgW5yrpCcn13vpYTIP9kKtDM7RNT0iuNuRVqvDI4AyV7ergjArJgdb/zEr3PvrzCspZsJArnIZtywxC8sWdWyjp2hXDmHmzoBLt1Z/pRtav977kOtp4MVK3kefEZf35+EOas0RASM64kJxw+RIte6SDqsvyVahCrb/5SZXvzYxDMybSkR+nqqrMzM8aMgx/EpI7+9E9MBCfTeRrhl854vjOz96jlIS7jtluL/PMORE161Fkk1ZiJqNWFBIW7vax2BEEQAAEQAAEQAAEQAAEHAlASLbRgJDseFVgGQRAAARAAARAAARAwG0CEJLdRuWzHSEk+wy9pSu2qpB8PymJVgzqQSzRKRNHqum6YD3xj0SeJrOEZG4Hy5cHp4+jC9s3etosp/05Ok/hBs2oaLM2FNmoBQXnyu20PSMrekIyT1fK4qhWKlSnITX6cCxxu/aM/S+dXPKrardsoo3tps2nXIUiVdusmKEnUnWZt5Jy5C9oWpP1hGSWIFiGMCuZLSQnXr1Mf4vr4vymNXQ95qjhp5ElKIgKVqtN8Xt3qso2UkgOjSpN7WcsUNVhVsaibk1UP5IXb9lBDLj43JAq/alfrp84Qqufe0R13oXqNqJmn32ryvdmxvG539P+qWNVVXoiCS3p1YKSb91UlWHFjNrDP6DSXXq7bJqekOyOzOyy4DQ26gnJNZ4dTuX6PZHG0enfrCc+lu/zOFV/fkSaBQda//MJ691HH/plFfEsEN5IW957RQyAWe9UVUh4fnro19VOee6u7P/2Czr+6yzV7t0WbTL0WUxVgYuMDa8P0bz3uTjEMpt6r9xjelsWdW1MKYkJqnrqv/MpRbXprMr3h4zfuzTUnD0CQnLGheSbp07QyiHqKP5WGPx0Yv5sMUvQGNUlmpmfNWQY/iQk+9M9MBCfTeRrRn5Nun6VjsyaTH8vnU+pKSlytsev/PengiJ6crHmbalI09bSYHKPC8EBIAACIAACIAACIAACmZYAhGRb10NIzrRvAZw4CIAACIAACIAACGSMAITkjPHzxtEQkr1B2f/qsKqQzCRjfvuR9n6jHQm5+egpFFG7gcfAzRSS5cawNHlKyJkXd22l5JvX5ex0vWbNFkwsBBcRcnKJtg9RUEjGIifrCcl6jSsiIgI1FHJk1uDs0i4sZa0c2o/uXohTHVK4XhNqOuobVb4VM/REKgjJnvXW7bOn6ZiQNWOjl4gfee95dnAae/O1nr9SdSrWqiMVa9FeTJmbhfj9q0wQkpVEiPyxX+L37aINw59WnUxErfrUfIw6YqBqRxMz9D433ZWEHqSm0oKOdUmE0DexlcYVXeO516lc34EuC4SQbMPjjpAciP3PZ693H/UnGUt5kUNIVhLJ2Lo3hOQNbwyl+L+2qxrKs3bw7B3+lu7duU2LezTTbDaE5IwLyZcP/EXrh6mj6ResUZdafKk9M49mZ5iQeWr5Qto9ZqSq5Mz8rCHDgJAsk3B+zcignEB9NnEm9M/anbgzdEL8benCto3Es7JkNOWrWJWKib/PRLXv5rVZITLaZhwPAiAAAiAAAiAAAiDgOwIQkm3sIST77hpEzSAAAiAAAiAAAiDg1wQgJFu/+yAkW7+PfNFCKwvJdy6ck6Yt1uJSfehrVL7/k1qbXOZ5Q0iWG/DgQSpdO3KQLu3YRBd2bBbLB4SPlipv9vg1Z0QkVXvmVYpq3YkoSxaPj+cD9MQ6rcI4sly9f/2XODqtY2LxY8Obz2rKdXXf+JBKduzuuLsll/VEKgjJ7nUXX8fH5/5Ah77/JkMiMkvHOQoUopwFIsRrhPSDbt7S5Sm8QmXKW7KskJCz2huUfOsGhGQ7De0Ff+6Xa0cP0poXH1OdWIFqtajl2O9V+d7M4KjwHB1emQJVEqryxHNUSfxzlSAk2+gEopDsTv/z2evdRyEku3rneL4NEZJdM9O7DsPEs0Tbqb+4PtiCW/WiwHNTISRnXEi+cnAvrXtV/f2xUO2G1Gz0ZJ9eETELf6a9E0ap2pCZnzVkGBCSZRLOr5lJSHb32cSZkPba7XOx///7zCaK37OT7iclau/oRm5QSA6q+Mhg8XepQRkeOO5GddgFBEAABEAABEAABEDATwlASLZ1HIRkP72A0WwQAAEQAAEQAAEQ8DUBCMm+7oG064eQnDajzLiHlYVk7o/op3rRrdi/VV1TvGUHaiAi93qavCkkK9vGQuUlETX50s4tdOXgHrolosumJ2JmgSo1qK4QhfMUK6GsIs11d4Xk0l16U63X3hPe8z9CqGPhe8d9QjGL5jlmScvZQ/NSu+m/UY78BVXbrJShJ7BASE67lzjq99aRr9NlEdHWnRScJ1TIxWUkwThvqbKUp0RpIR4XlgRkvl7cTRCSXZPy935hOWDFk+rBDPkrVaNWE2a7PnmTtx6bM50OTB+vqsVdSYgPXNS9KXGEecfEEfA7z1numGWJ5aAcOSlbzlwu2wIh2YbHHSGZ9wy0/udz0ruPQkhmOsalfZNG040TR40r0IslNf9imum1cbTLze++pK5HDNzr+ts68uQ5Q12I93Pi9+ygDSOe0awYQnLGheSbp2Jo5ZA+Kr486w7PvuPLdGT2FGmgn7INmflZQ2YBIVkm4fyaESGZSwrEZxNnQmmvpd5LFt9pd9PFnZvpyv7ddP3EETHYNiXtAxV78MDx2sPeo8iG2hHuFbtjFQRAAARAAARAAARAIJMRgJBs63AIyZnswsfpggAIgAAIgAAIgIBRBCAkG0XSvHIgJJvH1p9LtrqQvP2jN+nsuhUqxLmLFKeOs5ao8tPK8KWQrGwbC5ZXD+0T//YKQXmvFEE5JTFBuZvmekhYPmry6UTKV6GK5na9THeEZHcEK27nqmf6aU55WrRJK2r04Vi9JlgiX0+kgpDsuntYqGRR5tqxQy53ZGm+bJ/HqWC12pJ47HJnNzdCSNYHFQj9knTjOi3t00p1kmFlK1DbyerBD6odTcw4MOUrOjbvB1UNnkhCywd0oruXLqjK6LF0m19GVIOQbOtKd+6XvGeg9T+fk959FEIy00HyFoHkWzdpSe+WmgP8mnw8Xshhzb3VFEPqiZn/I+0VErpW8lch+fKBv2j9sMGqU6r16jtUplt/Vb5ehhFSakL8RVr2aEdVFeFlK1KbyXNV+d7M2P/tF3T811mqKjPzs4YMw4i+57JOLpxDeyZ8Jhdrf207ZR6FlalgX3dnIRDugYH4bOJO37na535ykvQ995r42wwPIL8i/laTdP2qq0Ps23hmn9rDP6BSnXra87AAAiAAAiAAAiAAAiAAAkwAQrLtOoCQjPcDCIAACIAACIAACIBAughASE4XNq8eBCHZq7j9pjKrC8l67WPA3X7fSMG583jE2kpCsrLhD1JT6cbJY3R+81qKjV6iKfs6HsMRLBv95ysqVKehY7bL5bSE5MqPD6XKg15wWYa8MV5EyOWpxLWiPNd/dxRFte4k72q5V70fkSEku+iqBw9o45vP0aW/tmnuxNG0izZtTeX6PUEFqtbU3CcjmRCSdegFSL88uH+fFnSsqzpJjrDdbeEGVb43M3aPGUmnli9UVemJJLRqaH/p811ZSJe50YZJ+8qyzVyHkGyj666QHGj9z2evdx+FkGzmOw9laxHQm02l9EN9qPZr72sdYtm8rR8Mo7jNazXb569C8vkt62jL+6+qzskXQjIP4OKosMqUq1AkdfrJtzMW4FlD2Sv/rENI/oeF41JGIyQH4rOJIx+jlu/EnaGLu7ZQ7IoldPXwvjSLrTbkFarwyFNp7ocdQAAEQAAEQAAEQAAEMg8BCMm2voaQnHmueZwpCIAACIAACIAACBhKAEKyoThNKQxCsilY/b5QPeE3tERpav/dAp+fX8zCn2nvhFGa7ejww2LKUyxKc5teppWFZKc2C8mQI4od+3kGXdimL+NlzxtOHWcuJpb23EmuhOTqQ1+j8v2fdKcY+z77Jn5OJxb8ZF+XFziCc7vvfiN+tWLSE6kgJOv31ukVi2nX59piD0csb/zR15S3VFn9AjK4BUKyNsBA6pfFPZrRvTu3VSdq9vtSVaEigyM78uexMnkiJK8f/rSYEnqXsghqN22+qe8bVYUGZUBItoF0V0gOtP7ns9e7j0JINuhNhmLcJrD7i//QqWXq7yxBITmIB324+4zsdoUm7fjgQSot7d2KOOqzVvJXIfl0tHh+/Ez9/OgLIZkHUS7oUFe8pDohzpYjJ3VfssUpz9sr6159UpoxR1lvZn7WkFlASJZJOL9mVEgOxGcTZ0LGr90+e5pO/j6XYhbNJR5MqZc8ed/qlYF8EAABEAABEAABEACBwCEAIdnWlxCSA+eaxpmAAAiAAAiAAAiAgFcJQEj2Ku50VQYhOV3YAv4gqwvJZ1Yvox2fvK3ZD62/+YnyVaiiuU0v02+EZIcTOL91PbH4e+f8WYfcfxYrPDyIqj0z7J8MF0t6QnJ6ZGSu5n5SIq0a2o9unzujqpUjJHOkZCsmPZHKbPHx5OJfaM/XH6uQpOdaVhXiIkMvOl3jD8dSkSatXBxp25SSmEArnuhGiVcvq/ZlCbn5F9NMl88hJKvQU6D1y/rXnqLL+3erTrT5mKkUUau+Kt8bGakpKbS4R1PxWZekqs4T2WDnqHcpduVSVRkNR35BxZq1VeVbPQNCsq2H3BWSA63/+ez17qMQkq3+7g289p3+cxHtGv2B5onVeO51Ktd3oOY2q2VeObCH1g0bpNssfxWSY+b/SHsnjVadl0+EZNGK5Y93obsX4lTtYSGZxWRfJJ4lZ1G3xnjW0IEPIVkbTEaF5EB8NtEmZXzuzVMxtHf8pxS/d6dm4fkrV6dW42dpbkMmCIAACIAACIAACIBA5iMAIdnW5xCSM9+1jzMGARAAARAAARAAAUMIQEg2BKOphUBINhWv3xZudSH54o5NtOntFzX5Nhs9mQrVbqi5TS/TH4VkPheOlrbmhQGaUnJQ9hBq//3vxNMNp5X0hGT+wYx/OEtP4sihG157WhVtjMtqJITXom4Ir+mpNyPH6IlUEJK1qZ5d+ydt/++/VBuzBAVR6wmzKbx8ZdU2ozMS4i/Sskc7qor1RMh3PJilH5Z/HFNolIgMP0MdZdFxHyOXF3VrQikJd52KLN6yAzV4/3OnPL2VQOuX/ZPG0PH5s1WnW/OVd6hs9/6qfG9kXDt2SPrs1arLEyE55jchZH2jFrLSe/1qtcebeRCSbbTdFZIDrf/57PXuoxCSvflORF1MgO+jyx5uT/fu3lEByV00ijr88DtlyZJVtc1qGTs/e49io5foNstfhWS9CNa+EpK3/vs1itu0RsU5Pd8rVYWkM+PGyWNigKf2c05mftaQcUJIlkk4v2ZUSA7EZxNnQuavbR05nOI2rtasqMH7o6l4y/aa25AJAiAAAiAAAiAAAiCQuQhASLb1N4TkzHXd42xBAARAAARAAARAwDACEJINQ2laQRCSTUPr1wVbXUi+engfrX35CU3G6Yks6a9CMgO4EXOM1r4yUDN6Vs3n36CyfR7T5OSYaYaQzOXriYQ58hekdtN/o+yheR2b4fNlPZEKQrJ213CUco5Wrkylu/Sm2sO1oxIq983out5nQXqFzkAQkgOtX/Qi4hdt1oYajfwyo5dQuo4/seAnKUK91sGeSEJXDu4lno5dmSJq1KXmX05XZlt+HUKyrYvcFZIDrf/57PXuoxCSLf/2DcgG8kwi/HmtlZp8PJ4iGzbX2mSZvKQb12nZIx0o9V6ybpvSJSQ/SKUF7euoyizVqQfVGfEfVb4ZGSuH9CGOJqpMvhKSj8z8lg6Jf8pU6bFnqMpg7UGwyn2NXj+1bAGxuK2VMvOzhswDQrJMwvk1o0JyID6bOBMyfy1FDIRZ8+JjdOvMKVVlPCibB2cjgQAIgAAIgAAIgAAIgACEZNs1ACEZ7wUQAAEQAAEQAAEQAIF0EYCQnC5sXj0IQrJXcftNZVYXkm/F/k3RT/XS5FlnxEgq1amn5ja9zIwKySwK3L10QVU8C7fZ84ar8o3O2CemPD4hpj5WprI9HqaaL7+tzFatmyUk309KolXP9qfbZ0+r6izZsTvVfeNDVb4vM/REKgjJ2r2ytE9rSrpxTbWx+egpFFG7gSrfjIxz66Np24dvqIrOzEJyoPXL7XNnaMWT3VR9HBQSQg/NX+uTqdTXvfIEXTm0T9UmzvBEErqflCimY29CPC27Y+Lp4bsuWEdZg7M7Zlt+GUKyrYvcFZIDrf/57PXuoxCSLf/2DcgG3j4XSysG9SAxXYfq/PKWLENtvv3Z0p+zR3+cRgdnTFC13TEjPUIyH7+oa2NKSUxwLEoLbacjAABAAElEQVR6duNnOLMTR61e0qO55iwqvhKS4zavpa0fDFOdesFqtanF2BmqfG9kbH7nJbqwfaNmVZn5WUMGAiFZJuH8mlEhOZCeTe7EnRGfM86f/0HZs1POiLRnkHKm6vla3Gbtz5S8pcpSu2nzPS8QR4AACIAACIAACIAACAQcAQjJti6FkBxwlzZOCARAAARAAARAAAS8QwBCsnc4Z6QW+Q/0jq+8nCrkmPv379O9e/coOTmZEhMTqXjx4hmpCsf6EQGrC8mJV+LpDzENs1aq+YKICtw77ajAjsdmVEhOuHxJimDmWCYveyuCJ0/lzFM6K1Ph+k2p6acTldmqdbOEZK6Ipb31rw7SlA6ajvqGCtdromqPrzL0RCoIyeoeYQl/YWe1dJw1Wzbq8cd2ypLVO9OgH/v5OzowbZyqgZlVSA7IfhHPJPx5n3j1sqqffTHtMUd05MiOeskTSYjLWPVMP7rx93FVcfXf+ZSi2nRW5ZuZEb93J+0eM1JVRbZcuaj1hNlpinsQkm3o3BWSee9A6n8+H737KIRkpoPkCwKupM6KjzxFVYe84otmpVlnQvxFafBlSsJdl/umV0iW7qvi+5RjyhVZlDrN/sMxy5Tl85vX0hYN+Zcr85WQzANLlw/opDrfrNmCqfPcFRQSlk+1zcwMfubh6NjKAUtynZn5WUNmACFZJuH8mlEhmUsLlGcTHtDIAxsdU0hYOHX5dTVlyWLud9WE+Au07FH1ZwoPqOyxZCuJBjg2C8sgAAIgAAIgAAIgAAKZkACEZFunQ0jOhBc/ThkEQAAEQAAEQAAEjCAAIdkIiuaW4Sgic028DiHZXOb+ULrVhWSO6MWRvbRSNSEWVBCCgScpo0KyeNPQ710bEUcEdkzBeUKp62/rTJczb5w8RquG9nesWlrOU6wEdfhhkSpfmWGmkMx1HZjyFR2b94OyWspVKFKKEJQtV27VNl9k6IlUEJLVvaEnbuSMKEyd5/ypPsCkHI7AfSPmmKr0zCokB2q/7J/8JR3/Zaaqn7016MOx4n3fiIj0v6kj0sv7eCoJHZoxkY78OFU+3P7KUca9EanSXqFY0JJ7eHvZno9QzZfectxVcxlCsg2LJ0JyIPU/n73efRRCsuZbBpleIMARZllK1ko8eKrV+FmUr2JVrc0+zdv2nxF0bsPKNNuQXiF55dO96ebpk07lM4+ey3ZQlqAgp3yjV1hGZilZK/lKSOa2rBzSl26eOqFqVuXHh1LlQS+o8s3MOD73e9o/daxuFZn5WUOGovXMwrMTdV2wXt7FrdeTC+fQngmfqfZtO2UehZWpoMp3lREo98BAeTbZ9PaLdHHHJlWXtf7mJ8pXoYoq3+gMrb8xcR1d5kZTjgIRRleH8kAABEAABEAABEAABPyMAIRkW4dBSPazCxfNBQEQAAEQAAEQAAGrEICQbJWe0G8HhGR9Npl5i9WFZO6bBR3qaEaNqjzwWar85PMedZ/Wj0Weim4cMZMjZypTy3EzqUCVGspsQ9c5itYf/dupygzJV4BYAkormS0k309OotXPPUK3Yv9WNaVMt/5SNDTVBh9k6P2IDCFZ3RksbLC4oUzhZStSm8lzldmmrF87dojWvDBAs+zMKiQHar/oRiUW0cVaT/zRK1IBX2hJ16/Siie70707tzWvO870VBK6c/4s/flENx4R5lymOLeOYkBJ7qJRzvkmrXE0zuWPdVbfV0U72n/3G4VGlU6zZgjJNkSeCMmB1P989nr3UQjJab59sINZBMRn64rBPen22dOaNeQtWYbafPtzmhHgNQ82KZNlXb0Iwsoq0yskb3rrBbq4c7OyOOo4awnlLmLerEg8y82yRzuq7zX/b4kvhWQ9CTh7aBh1mrOcsuXIqeJlRkZqyj2KHtyL+P6glzLzs4bMBEKyTML51YgIyYHybLJ3/KcU87v6e2m1p1+mCo8+7QzOhLUVg3po3nvaz1jg1nO1CU1CkSAAAiAAAiAAAiAAAhYiACHZ1hkQki10UaIpIAACIAACIAACIOBPBCAkW7+3ICRbv4980UJ/EJK1JGJmVb7fE1T92eEeYdMqy1Mhedfn79PpFYtV9Zbq3IvqvP5vVb6RGXriAkf+4QhAaSWzhWSu/+rh/bTu1SfVAoKQ3ZqPmUoRNeul1UzTt+uJVBCS1ehZzFzat41qQ86ISBEhebkq34yMnZ+9R7HRSzSLzqxCcqD2C3cyy+csoSuTNyMJ7/z0HYpd5Xo6e08lIT6fDa8Pofi9O5WnRkWbtqZG//lKlW9GxuHvv6HDs6eoii5UtxE1++xbVb5WBoRkGxVPhGQ+IlD6n89F7z4KIZnpIPmKQPxf22nDm8+qB378v0HFmrej+u+OoqzZsvmqifZ6edaHda8NppS7d+x5vMCzrvBMLKn3kp3y0yskH5w+no7Ome5UFq80+3wyFarTUJVvVIbeZ4Rcvi+FZGlgzgAxMOdBqtwc+2v1Z4ZR+YcH2dfNXDj64zQ6OGOCyyoy87OGDAZCskzC+dUIIZlLDIRnk9N/LqJdoz9wBiTWpFmkvv+dSPwdwqzEgxcX92yued/pvngzZcuZy6yqUS4IgAAIgAAIgAAIgICfEICQbOsoCMl+csGimSAAAiAAAiAAAiBgNQIQkq3WI+r2QEhWM0GOEEq+m0BHfpqmQhFaorSIlLhAle+LDL2IM+kRgI0Qks9vXU/8A6AyBYWECEHzT8qeN1y5ybD1g9PG0dGfv1OV567M5g0hmRun106OANpu6i8UFJJDdQ7ezNCTJCAka/SCiDi4oFM9enD/vtNGnua7x9KtQuoJdso3eiVu42raOlJ/4EFmFZI5ym4g9gtfPycXz6M9X3+ieSk1+Xg8RTYUP/qbmC79tY02viGEtjRSeiSh2JVLaeeodzVLZiGZP8vNTByNcbmQsDjavjI1/nAsFWnSSpmtuQ4h2YbFUyE5UPqfz17vPhqQQvLvGyk4dx7N9wIyrUdg/6QxdHz+bN2G8edsg/dH+1RKZiF27csDKeHyJVU7G438UhLrlBH60yskn1sfTds+fENVT1SbzlT/nU9V+UZkcJTqlc/0U0nVjmX7Ukjmdmx4YyixwK5MQdlDqNX4WRRWtoJyk6Hrdy+ep+inegn5PNFluZn5WUMGAyFZJuH8apSQHAjPJsm3btIf/dpQakqKMySx1uTjCeK7QzNVvlEZHIGeI9ErEw8u6bZwgzIb6yAAAiAAAiAAAiAAApmQAIRkW6dDSM6EFz9OGQRAAARAAARAAASMIAAh2QiK5pYBIdlcvv5auj8IyRtGPEPxe3aoEHsa2ZgLMEJIZqFrae9WdE8R0YzLr9D/Sao29DVeNCWxvMARiJWp4iNPUdUhaklauZ+3hGSO6rb6+Ufp5qkYZRPIU4FLVYABGXoiFYRkbbjLH+tMLE4oU8ORX1CxZm2V2Yats7Czamh/Sr51Q7fMTCskCyKB2C/c0fwZu3JIX82pj0PCwqnluFki4lmU7jWRkQ08xfzaV57QvN6V5aZHEuKol9FP96K7F+KUxVHOiMLU5tu5xOdoRuJIkDv++y86uy5aVXyuyKLUcdYSEUAuq2qbVgaEZBsVT+9ngdL/fPZ699FAFJIf+nU1hYTn13orIM+CBFw9g8rN5cEXDT9gKdncQVVyfY6vLOtufvdlun0u1jFbWi7b81Gq+dK/aHGPZmSUkJwQf4GWiYEoPJDJKYmIoW2+/ZnCy1Z0yjZiRU/2dSzb10Ly+S3raMv7rzo2yb4cGlVKmnnGrMim/Jyz+e2XiAdApZUy87OGzAZCskzC+dUoITlQnk1YCmY5WJnyV65OLb/+gbJkde8ZV3l8WusHp30tBozPUO2Wv3INMbhhpiofGSAAAiAAAiAAAiAAApmPAIRkW59DSM581z7OGARAAARAAARAAAQMIQAh2RCMphYCIdlUvH5buD8IyRxNkiP3KFPB6nWIf6T1JBkhJHN9e8d9QjGL5qmq5h+6+Acv/uHL6BQz/0faO2m0ZrHtpv9GeUuW0dzmmOktIZnrvHbskBT9TRVZVwhvLcd9LxjVcGyaV5f1RCoIydrdwNFqOWqtMhWsUZeaj5lqyg+8LOpsevtFuhN3Rlmt03p6BwGsGzaIrhzY41RWaJSIDD/De5HhF3VrQikJd53aULxlBxG58XOnPL2VQOwX+Vz1hFfezjIyS8lGi7tJN67ThuFP0c3TJ+VmuHxNjyTEBV7csUm6trUKDytTQbynppgSaf+vLz8kvgdopRovvknleg3Q2qSZp9c/9d8dRVGtO2keY0TmrTN/U/TgXqqiajw7nMr1e0KVb1RGihiAtKh7U1VxngrJXEAg9D+fh959NBCF5E4/LadchSL5tJH8hMCNmGO05sXHpAEuek0uXK8J1fvXRxSSr4DeLobn82fntg9H0L3bt1Rlh5evLMlrLEkbKSRzRRteH0Lxe3eq6ixcvyk1/XSiKj8jGUdmfkuHxL+0kq+FZG7flg+G0fnNa3lRlVhab/DeZ8QRk41MD1JTabsYHMSRqx0Ti+HXY446ZknLmflZQ4YBIVkm4fxqlJDMpQbCswkPuNv+kToaPJ9fdTFgvLwYOG50unrkAK0fNljzXuPpZ5zRbUN5IAACIAACIAACIAAC1iEAIdnWFxCSvXBNXrt2jbZu3UrFihWjUqVKUd68eb1QK6pgASc5OZlCxDTKSCAAAiAAAiAAAsYTgJBsPFOjS4SQbDTRwCjPH4RkvagzuSOLUcfZalHZVc8YJSQnXb9Kfz7RjVhSUiaONNlizDTiV6PSlYN7hUzwtOY0pAWq1pQkaHfq8qaQzO05NGMiHflxqqppoSVKU9vJcylrcHbVNm9k6IlUEJK16V/ev5vWv/aU5say3ftTzVfe0dyW3kwWhVkSSb55Pc0iSnboRnXf/CjN/ZQ7BIKQHIj94thPOz55m86sXuaYZV/mQR+N/vMV5chf0J6XkQWWkTe//YI0kEJZDg+euHp4nzJbGhDDA2PSk1ydW3i5StRs9GTKHhqWnqI1jzkw5Ss6Nu8HzW18D2nx1QyPBhZASLahTI+QzEf6e//zOejdR/1ZSD78/Td0ePYUPj2n1G7ar5S3VDmnPKxYn8Bx8Zm3X3z2uUrBeUKlmU1KdxYDHUTEYLPS/aREOiwk3eO/ziLlQD2uMzhXbilace6ituj/RgvJPLCTB3hqJR5YFlGrvtYmj/OOz/2e9k8d69Zxnsp6Rkmpjo27e+kCrXyqF6UkJjhm25f5/tj4o68NGyTEMjIPDjq1fKG9Dl4o0rglFW3ejnZ9/r5TPq+kV0jmYwPhXsPnYVTfn1w4h/ZM+IyLdEptp8wjHhDmSQrEe2AgXC96s0nxwIJGH35FPBDFqMTfU1c/9wjx54gyBYnfoLvMW0XBufMoN2EdBEAABEAABEAABEAgExKAkGzrdAjJXrj458+fb6+FZeSGDRv6TEo+fPgwXb161d4erYWgoCCpfaGhocT/wsLCxN/nzPsDnVYb0pvHAvLp06cpJiaGjh8/Tq1ataLq1Y2PVJbe9uE4EAABEAABEAgkAhCSrd+bEJKt30e+aKE/CMknFvxE+yaqI4ZyBLEey7a5PcU88zVKSOayjv40jQ5+N4EXVSlnRKSQ5b6kfBWqqLZ5mnH18H7a9p/XKeHyJc1D+Ydy/iHbneRtIZmnJF7z/AC68fdxVfMqDRhCVZ56SZXvjQy9H5EhJOvQFwN8o4WwcevMKc0dajw/gsr1eVxzmyeZSdeuSBL7qWULxcziqU6H8g/Il/fvIp5W2DEVqt1Qkjcd89xZDgQhmadfD7R+cey7xKuXadXQ/sQDQLQSR0iuPfzfVLRpa63Nbued37yWdn/1EfH1p0ylu/Sm0NLlNO9BGZGEkm5co+hBPSn51g1lldJ6zoKFqJYQ/TlCY0YSM+RolSeX/KpZTLYcOanN5HlS1GnNHXQyISTbwKRXSPb3/uez17uP+rOQrCew1hr2HpXp2lfn3YBsKxNgCZj/pZV4cEnt4e8Tz5RgZGL5OG7zGtr/7Rd09+J53aI5Em/xVh3t240WkvnZafnjXTTvcyFh+aiR+C5RoEoNe/2eLnD5h76fSMd/mak6NELMphG/b5cq3wpCMjdK730vNzhP8ZJUZ8RIKlittpyVrleefYGF42tHDzodnzOisDRI8/y2DbTrM2OF5EC41zAsCMlOl4x9xcgIyVxoIFwvPIh73avakZB5IDS/l0u06ZzhASgJ8RfEII/3NCPPM8vyfQdS9ede50UkEAABEAABEAABEAABECAIybaLAEKyyW+GVDEKevHixZSSkmKvyZdS8vXr1+n8+fO0a9cuOnfunL1NLBxHREQQt5eFZX6VEwvJ9erVoxo1alD27L6JZiW3xdXr9u3baf/+/XT58mX7bl27dqWqVava17EAAiAAAiAAAiBgHAEIycaxNKskCMlmkfXvcv1BSD63YaUQckdogu44awnlLlJcc5tWppFCcuq9ZNow4hniH770EkuUFR4ZnK7IY7fPxdLB6eNVU/o61lWmWz+q9ap2xDPH/eRlbwvJXO/1E0ekabOVEeGyiMGvrSfMJp6i2ttJT6SCkKzfEyyT8JTfLMEqU5YsWalkpx5U4eFBxOKGp+nGyWN0RkTvY2lSK+p4ibZdqM4bH9KfA7sS/wDsmHiq9U6z/yCOROVJCgghWZxwoPWLsg9vxBwTn7NDhLh7U7nJvl6yY3cq3+9JEcG0rD3PnYU7cWekCO6n/1ykuTvLR83GTKHjc3+ggzPUg08yIiRzhXzv2CSiMmtd83KDirVoT1WfflkIwyXkLLdeWa4+9vMM8Z76RSXxywXw+7be2x9TFIsZHiYIyTZg6RWS+Wh/7n9uv9591J+FZI7IzhEilSmyQTNq8vH4DAtMynKx7h0CJxf/QnvHfaoa6KSsnQc6FmnUgoq36USRDVt4/FzhWN7VIwfo7Ko/6Mya5bqDanh/fnap/doHVKLdQ46Hk9FCMhfu6vsURw+tMugFKi1mveCBKp4kvh/8Nfa/xPdUZeL7Cw9YW/PiY8pN4vvLO1SmW39Vvl6GUVKqsnweALf783/T6ejFyk1O60WbtaFqzwzz+H7MA4/+XjRPRF+fSvzd0TFlyZqVOEJ1QSFtc/1GC8lcl7/fa/gcjOp7REhmmq5TIFwvPACEo9HrJf6+UF58Z41q3ZmyZsumt5tm/r3bt8Tz9Xd04ref6H6y8yBZ+YDwshWp1YRZPpsJSm4HXkEABEAABEAABEAABKxDAEKyrS8gJHvhmjx86BAdEpGJHZMvpWRuR0JCAk2cOJHui1H7nMqVK0d9+vSRljmPpeSLFy/SunXr6Pbt21J+jhw56OGHH6bIyEhp3ar/LVmyhA4etI087969O1Wu7P0fu63KBu0CARAAARAAASMJQEg2kqY5ZUFINoerv5fqD0Ly9eOHafXzj2qibjjyCyrWrK3mNq1MI4VkLp8jCa19aSDdOX9Wqzp7Xv5K1aikiLSZR0zFnKtQJHE0LI7So0w89eeVQ/vowpZ10nS+SonXcf+wshWo1bhZHgkTvhCSuc16Eer4HFpP/MnjHwMdOaRnWU+kgpDsmuaerz+hk4vn6e7EgmPR5m2pdLe+UpTBnAUiNAWuOxfOEb+vrx87TOe3rKWbp2J0y5SEP44wJQZO8+cAH6dMLEKzSMPvKY6mG79nB+UsVMRltL9AEZKZRSD1i7JveZ3Fro1vPutS3OX9OCJ9iQ7dqXD9puIzthCxYOWYWDpKunqFLu7aSrFiuvT4/bs1BXs+hqPct5n0E4WE56eD076mo0LuVaaWX/9APJ17RtLVw/to07+ep3t377gshs+NxS6OmMzXtlKgYEHitpDBeCDLNXEP+fuP+boislSReD/VGf4Blercy2W9ehshJNvIZERI5hL8tf+57Xr3UX8Wkm+d+ZuiB2u/J4q37CAJlNnzhvPp2xM/p904dYKyBmXzeFCEvRAsmE7g3MZVtOPjt1VCqF7F2XLllqLvFxP9zvIaP89oPbfz8Q9EIJfEK/FiJpOLdGnnFooVA6z4szitlKtwETGbylcUXq6SalczhGSuZNuHb7gc6MjXdykxwKxgzfpUoFotCs6dR9U2vpfePhtL59atIJb4b8X+rdqHMyIbNqfGH46l6zFHac0LA1T7WEVI5obxObEMzH3nKvFzbv6qNYS43pIixew0oSVKqWfqEQP3ksT3ucviGeNM9BK6sG0j8YwxWqmaGHBU4dGnpU1mCclcuD/fa7j9EJKZgjoZHSFZrsHfrxd+P2/793ARnX6tfEqar/ysX7bHw8R/j+Bl/hsNf/YrE0eAv3bsIF3+azudWDBHd3YTPi5YHN9q4mzDo+0r24R1EAABEAABEAABEAAB/yIAIdnWXxCSvXTdWlFKnjx5MnHEZE61a9emDh06qGiwjLxgwQKKi4uTtuXOnZsGDhxIHDXZqmnr1q2SSM3t69mzJ1WsWNFyTY2Pjxd/+HpAhQoVslzb0CAQAAEQAAEQcJcAhGR3SfluPwjJvmNv5Zr9QUhOFTPMLO7eVDMKDUfGrCsip7qbjBaSuV4WWDa++ZyI3HrR3WZIciVPkcw/fGUNDpaif7JQliiiWmpFoFUWHFG7ATX69xcUnCdUucnluq+EZO7DtSI6GksJysQiaaXHhyqzTV3XE6kgJLvGzkLF9o/epLhNa1zv+P+tLITmKlyUQsLCJeHy3u2blHzzBqUkJqR5PEfQrvb0K1S+/5P2fQ9M+YqOzfvBvu64wIJmjvwF6e4lWwTlWi/9i8r01B7IwMcFkpAcSP3i2KeOy5dFhG4WL9ISdx2PyR4aRjkLFqJsOXNSgiSLXSJXgzzkY/NXrk713vrYHgVRT/huO2UehZWpIB+W7terh/fTpreElHzHFgAgzYKETBwipDE+N75/3I47K95Xtr/npXms2IHfWzVffpvKdO3rzu6a+0BItmHJqJDMpfhj/3O79e6j/iwks8S07JGOklzK56iVsofmlWbm4MimSdevSZ8tHPW0yhPPUSXxD8m6BHhGge1ixhUeTJiexLIui8k5xL8gEahFkpDFs3/i1cuSlOxJmYVqN6T6730mPR9pHWeWkMzRenkQzLVjh7Sqdcpj+TZ7eD7KnicvZQ8NpVQh3/M583eVtO6lpR/qI+4zb4nBM8FSXVYXkvnEWSzfOepdSbJ2AuFihT8HeOBSDjFbB18T/KyReDleV0CWi+LvbxwZu3jL9nKWaRGS5Qr89V7D7YeQLPei86tZQjLX4s/XC7f/flIibX77RWkmGV53N/EgDJaTs4v3KD+XJ4u/zyRduyze0//MeKxXFv9dp7GYTSGsdHm9XZAPAiAAAiAAAiAAAiCQSQlASLZ1PIRkL74BrCYl//DDD3Thgu2HOz0hmfGwlMzRlOXEgi+LvlZNO3bsoNWrV0vN69WrF1WokPEfi4w813v37hGzb926NZUtW9bIolEWCIAACIAACHiVAIRkr+JOV2UQktOFLeAP8gchmTth3atPSlPOKjuEhbOHfl0tCVbKbVrrZgjJXA/LDTs+fotY0jI72X7kf1sVIdOden0lJHPbbsQcE1M2D1D9oMeyQptvf/ZqZEE9kQpCctpXEf8gu/PTt+nsuui0d07nHoXrNaYaL7wpIs+VdiqBfxxf+/JApzy9lcwkJDODQOkXvf7k/IT4C7T7y4/o4o5NrnZL9zaOflnlyeeEBD+IWDKSEwtKWlETO85eSrkji8m7ZeiVo4bvHT9KRFLckKFy0jo4t4jSX//tT4il64wkCMk2ekYIyVySv/U/t1nvPurPQjKfl96MDrzNVYKQ7IqOdbbxoJZjc76jE7/Ndh1F3sQml+/3BFV7ZpjTfUZZnVlCMteTIhhs+WCYNJuEst6MrvMzfc1X3qbSYlYYObH87A9CMreXByWcXPwrHZo+zv1BQvKJuvlasFptqvfOp9KgVMdDzIyQLNfjj/cabjuEZLkHnV/NFJK5Jn+9XmRKPHDiwNSxdPzXWXKWaa88Y0pDMVicB8cigQAIgAAIgAAIgAAIgICSAIRkGxEIycorw+R1K0nJ7grJjGTatGl05YqI3CUSR0l+6aWXpGUr/ucoJPfu3ZvKl7fWCNXFixfToUOHqG/fvhCSrXgBoU0gAAIgAAJuE4CQ7DYqn+0IIdln6C1dsb8IySfmz6Z9k8Zosqw0YAhVecq97yRmCcncMP4R+9hP0+no3O+lH/s1G5uBzIgadamqEBgyIpL5UkjmUz8yewod+v4bFYX8lapRy3EzXcoZqoMykKEnUkFIdh/qqeUL6cDkL6Xo3u4f5XrP3EWKU/XnR1DRJq10d/zryw+Jr+O0UmYTkmUe/t4v8nm4ej21/Hfa/+0Y4qjyRqV8FapQ3Tc/0hwYsVWIW3Gb16qqemj+Wt3olqqd3cyI27yW9k38jO5ePO/mEe7txpJYqc69qNrQYSJidC73DnKxF4RkGxyjhGQZddxm/+h/bq/efdTfheSUhLuSPHnrzCk+TbcThGS3UVliRx7gcui7iXR65RK3ZiYxotH8HF9x4FDi6MhpJTOFZK77fnKSeA9PpJgFc9KM5ptWW+Xt4eUrUy0hI+evXEPOkl79SUiWG85Rr/d9M5rOrv1Tzsrwa1BICFV8eDBVFLPCOA56kgv2hpAs1xW32X/uNdxmCMlMQZ3MFpLlGuM2+9f1Irdbfj23cZX43vAF3b1gm/VXzjfilb+78t+holp1lGbAMqJMlAECIAACIAACIAACIBB4BCAk2/oUQrIPrm2rSMmeCMnLli2jffv22Wm9+OKLlCdPHvu6lRYcheQ+ffpQuXLlLNO8LVu20Pr166X2QEi2TLegISAAAiAAAukkACE5neC8eBiEZC/C9qOq/EVI5ikzlz3SgVgU0Urtpv0qRLK0n/XNFJLldiXfukkxv/1IJxb8lGFhjqcNLSLkzBLtulKhuo3kKtL96mshmSMVcYRbramiqw99TUQmfTLd5+bJgXoiFYRkTyiKyOBi2u5jQsCPjV4sooRf9+zg/+/NUWkLi2u7aPN2FNWmE/G6q5Saco92j/63iNC8QhVt235clixUd8R/qGTH7vYs5cK6YYPoyoE9TtmhUaWp/YwFTnlmrizq1kT1mVa8ZQdq8P7nGarWn/vF3RNnWSh2xSIRufgPunnqhLuHOe0XnCu3uO7aUlTbhyiidn3i6em10oY3hlL8X9tVm3ou3yFNR6/akMEMnmaaP6vj1q+UrlEe7JLelD00L5V+SAyA7z3A0KhtEJJtPWK0kMyl+kP/czv17qP+LiTzubG0tGf8px5FLIeQzOT8L10/cYRO/DKTLmzfJAZY3TD8BIKyh1DhBk2lyPsFqjiLuq4qM1tIluvma/3gd+PpzJrl6Raz+ftJBSHaFqqjLVr7o5As84nfs4Ni/1xEcVvWpvs7XVjZClSqSx/xXe4h4u91esmbQjK3wV/uNdxWCMlMQZ28JSRzzf50vahJ2WaSiRUDUI6KweN34s5o7eJ2XtZs2cT3hoZUXEjIUW07m/JdwO3GYEcQAAEQAAEQAAEQAAG/IAAh2dZNEJJ9dLlaQUr2REieN28e/f333xKt4OBgeu2118QPN1ns9PgNde3aNape3TYF5KlTp+jEiRMUGRlJlStXpqCgIPu+vMByDEdcvnjxovQaGhpKERER0r8QMXrcnXT79m06d+4ccd2pqalUvHhxKl26NO3fv59Wr14tFSELyQkJCRQTE+NUbK5cuahMmTL2vNOnT9OtW87RdsLCwigqKsq+j3LhvvhxPT4+ns6fP0+XLl2i7NmzU8GCBalSpUrEnBzTunXraOvWrfasJk2aUJEiRaR1lruZFRIIgAAIgAAI+BMBCMnW7y0IydbvI7QwsAjwD3eX9+0iFrcu7d5KN04eT/PH/pwRkRRWpjyFlS5PBarXliRkjmyJBAJWJsCS8PnNa+nSzi109egBIYjGEMvnWilbjpyUo0BBCitbiYo2a0NFGrWgbEIM9TQlXb9K50TkultnT1PCpQsi2lwQ5YkqRaGlylJhIcWE5CvgaZEBt39m6ZcbMcfozKqldGnXVkq4fImSbgo5XvydSZn4OssVUZhCS5ShYkIiKNK4BbEsllZa9Wx/4jocU/bQMOq6YJ1jlinLfJ3HbV5L5zeulsTrxGtXKfVesm5dfL/giPMFRSTOAuJfQXEfCQrJobs/NlibAPrft/1zYdtGaWaHm6djVDNfcITTnIUiKV+FqhRRow5FNm5FuQrb/q7r21aj9vQQeCB+S7hycA9d2Lpe+nfz9Mn0FCMdk1PcZ1jOLSKuiUL1GhM/91g9Jd24Jt1DL+3YTBd3bSEe9KOVeNBY7iLFKE+xEpSneEmKEpJteNmKWrsGVF5qSgrF79kuDRS6vH+3xIcHy2qlkPD8lKdocek5t4QYGMf3ZKsn3Gus3kPWap8/Xy/8WX/t6EGK///fZ64c3JtmlHh+5g8rXY7yir/RhFesKr67tiQe8IcEAiAAAiAAAiAAAiAAAu4SgJBsIwUh2d0rxoT9fC0leyIkf/3115SYmChRYEF3wIABdPPmTTp06BAdPHiQLl++TBUqVKBevXqRUrxt37491alTx06QJeIlS5ZIUjKLuyw2syzMYm82Mdq0efPmVL8+R6r5R3i2H/z/hd27d9OqVaskAZmlYpaLuQyWiosWLUpHjx6V9pSFZBaWWX7etGmTXUxmgfmxxx6zF3316lVJLGa5ipc5cft69Ohh38dxgQXkhQsXSpGiuQ05c+ak48ePS+Xzcrt27ahKlSrSISxJb9iwQWJ47949KY/bLIva5cuXJ+aEBAIgAAIgAAL+RABCsvV7C0Ky9fsILQxsAvxjdrIQ5fgfR5O9L75TZRPfA4Jz5aFsuXNT9rzhYtlzMTOwqeHs/JHA/aQkSQy9d/umiDh4U0SOyiZJyDkKFMI17sMOzSz9wiJ24pXLlHAlXkiEt8W1FyFE5EgKzhPqMX2e1n5x96aqaNwFqtWilmO/97g8Iw5gCYplMY6EzQNfgvPkFfePMEmO4GWtqeCNqBdlWIMA+t83/cAC1u2zsZR6P4VyFy5KLJ1mUQTc8E3LUKsZBDhy8K2zp8Rn7RVKFp+1/JmbKF6TxKCQB6n3pYFU2XLmIv7HUW9zCzmXZ2rJW7KMyyi4ZrTVjDJ54EvyzRvi+8o16ZUH+eQuGiUkfHHd68wmYEY7rFwmM+JBQnwv5u92OfJHSLJ2egbZWfE8ca+xYq9Yt03+er3wLCT3xHdV/ttMsvjH5xGUI4f9s52/O4SE5bMueLQMBEAABEAABEAABEDALwhASLZ1E4RkH1+uvpSS3RWSOdrx3Llz7aRatGghRTJmKViOmswbWUhmWfnw4cPEEYk5YjInlovbtGkjLXOE4PXr10vRjPv37y8JyNIG8R/LzYsXL5ZWixUrRr1795ZEY3k7v7JUEx0dTX/99RdxhGGWlx2TYxmc37evmKaybFn7Liw9f/fdd9K6UkiWd2KZmUVjTnpC8t69e2nlypXUoEEDpzZwxOTp06dL585CNZ9DuXL/TCO9fPly4mM5PfLII1SyZElpGf+BAAiAAAiAgD8SgJBs/V6DkGz9PkILQQAEQAAEQAAErEPgyoE9tG7YIFWDSnfpTbWHf6DKRwYIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIMAEIybbrAEKyBd4PvpKS3RGSWUb+7bffSI7qy4Ju9+7d7dGLWUpmQZhTnjx5pIjFnTt3Jo5IzFGBL1y4QE2bNqXQ0FBJXp43bx5lFVPcDR48mAoWLKii7xhdmaMLd+vWzWkfuT4WeVno1Upz5syh2NhYaZNSSGZRety4cdI2PSE5Li6OZs2aJe2jJSSfP3+eZs6cKYnGHIFZmVi65vPgJEeNlvdxFJIfffRRKlGihLwJryAAAiAAAiDgdwQgJFu/yyAkW7+P0EIQAAEQAAEQAAHrEDjxy0zaN/lLVYNqPD+CyvV5XJWPDBAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARBgAhCSbdcBhGSLvB98ISU7CsksznK04SAx9RxLuzdv3qSYmBgp2jFH/WWJmAVhlo15WU5Xr16lqVOnSqs5xNQ2L7zwAgUHB8ub7a8pYqpijhx8/fp1qlq1KnXt2tW+zXGB65owYQIliqmMOTkKxUliCtjJkydL7ePIw+XLl3c81L68evVq2rFjh7TueDxnuCMky8Ix768UklnqYRmZRetBgwZR4cKFeTenxG1nJnfv3qVWrVpRw4YN7dshJNtRYAEEQAAEQCAACEBItn4nQki2fh+hhSAAAiAAAiAAAtYhsOmt5+nizi2qBjX7fDIVqvPP33dUOyADBEAABEAABEAABEAABEAABEAABEAABEAABEAABEAgUxOAkGzrfgjJFnobeFtKdhSStTCEhIRQ3rx5qWLFilSzZk0pArJyvzt37kgCMee7ilq8d+9eYhmXU4sWLahx48bSstZ/K1asoL/++kvaxBGEOZIwp/Xr19OWLVskIXrEiBH2KM3SRof/WEZmKZmT0ULywYMHacmSJZQrVy56+eWXHWp1XmQBm9mEhYU5bXAUkgcMGEBRUVFO27ECAiAAAiAAAv5EAEKy9XsLQrL1+wgtBAEQAAEQAIHMTCDxSjw9ELNsKVPOgoVI/OFHmW3q+u2zp2nF4J5EYjC6YwrOlZsemr+GsgZnd8zGMgiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAjYCUBItqGAkGy/JKyx4E0p2VFI5ujHTZs2JTkacmhoKGXPnvYPLY4Rh8uUKUP9+vXTBBkdHU27d++WtnXr1k2Ktqy5o8jkN+ePP/4obXYUf2fNmkVxcXGS5Pvcc8/pHS5FRzZLSJZl6aJFi9LAgQN126C3AUKyHhnkgwAIgAAI+CMBCMnW7zUIydbvI7QQBEAABEAABDIzgRWDehCLwMrUYuwMKlittjLb1PW9E0ZRzMKfVXVEtelM9d/5VJWPDBAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARCQCUBItpGAkCxfERZ61ZKSy5YtS7Vq1TK0lY5Ccu3atalDhw4el++ukDxnzhyKjY2Vyk8rMvDdu3dp/Pjx9rZwJGIWk8eOHUtJSUlUvHhxeuyxx+zblQuOEZJZkGZRWk6O7dUr5/z58zRz5kzpkEqVKlGPHj3kwyVRmj88uD84+rKnCUKyp8SwPwiAAAiAgJUJQEi2cu/Y2gYh2fp9hBaCAAiAAAiAQGYmsG3k63Ru4yoVgrI9HqaaL7+tyjcrI/nmdVr+WBdKSbirqqLRyC+paLM2qnxkgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgIBMAEKyjQSEZPmKsNDr4cOH6dChQ04tKl++PNWoUcMpL6Mr3hSSp02bRleuXJGazIIvi76u0hdffEEpKSnSLk899ZQkJE+YMEFaL1CgAA0ZMkT3cDOF5HHjxhFLzWm1Qa9xjkIyS9UsRSOBAAiAAAiAgL8SgJBs/Z6DkGz9PkILQQAEQAAEQCAzE4hZNI/2jvtEhSAkLJw6zFpKwblyq7YZnvHgAW1+72W6sG2jquhsOXPRQ7+uoaCQENU2ZIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACICATABCso0EhGT5irDI65EjR+jgwYOq1jRr1owKFy6sys9IhjeF5AULFtCxY8ek5rZu3ZoaNGjgsukTJ06k27dvU5YsWWj48OHEUZMnTZokHRMcHCzl6RVgppA8depUunr1KmXNmlVqQ1BQkF4zNPMhJGtiQSYIgAAIgICfEoCQbP2Og5Bs/T5CC0EABEAABEAgMxO4d/cOLevfjlISE1QYyvZ8hGq+9JYq3+iMoz9Oo4MzbIPglWVXHfwSVXxMf1C8cn+sgwAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIZE4CEJJt/Q4h2ULX/9GjR+nAgQOqFjVs2NCUSLreFJI3bNhAsrRUvXp16tKli+o8HTPGjBlD9+/fp3z58tHQoUOlTV999RUlJydLyxw1OSIiwvEQ+7KjkNy/f38qXbq0fRtHN+Yox5w4OjFHKVam8+fP08yZM6VsjuTMEZ3l9Ntvv9Hx48el1fbt21OdOnXkTZqvt27dopw5c1K2bNmk7RCSNTEhEwRAAARAwE8JyPd2XzU/LCyMQkS0Ov6XPXt26X7Lg4X4vsuvPLCJBxFx4lde56R8lTL//5+8zTHPn5chJPtz76HtIAACIAACIJA5COydMIpiFv6sOtksWbJS/fdGUfGWHVTbjMqI27iatn04gh6kpqqKzF00itpPn09Zg7OrtiEDBEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABBwJQEi20YCQ7HhV+HCZowfv379f1QKzZGSuyJtCckxMDP3666/S+bE09OKLLxJHOtZKjtJwjRo1qHPnztJus2bNori4OGm5du3a1KGD9g9S7grJhQoVosGDB6ua4EpIXrduHW3dulU6Jk+ePJIsrXceiYmJxAJzv3797OfqKCQPGDCAoqKiVPUjAwRAAARAAAT8hQCEZOv3FIRk6/cRWggCIAACIAACmZ3AvTu3KfqpXpR4JV4TRaXHnqEqg17gUWWa29OTmZqSQoe+G0/HfhED0h880Cyi8UdfU5HGLTW3IRMEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEHAlASLbRgJDseFX4aJkj7u7bt09Vu5kyMlc2bdo0unLlilSvo/iraoiLDEd5uEyZMpJ8q7f73Llz6dSpU9Lmrl27UtWqVTV3PXToEC1evFiKdDhkyBAKDQ2V9jt8+DAtWrRIWuYoiIMGDZIiKCsLiY6Opt27d0vZ3bp1oypVqth3YSnnyy+/pBTxwxNHTxw+fLg9SqK8E/fFsmXLpFWOrsxRluV08+ZNidu9e/ekLI6y3KdPH8qRI4e8i/SalJQkych8jsxWTo5Cs7Jt8j54BQEQAAEQAAF/IQAh2fo9BSHZ+n2EFoIACIAACIAACBCd37KOtrz/qi6Kok1aUb23PqZsuXLr7uPuhtvnYmnnqPfo6mH13+LkMqLadKb673wqr+IVBEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABFwSgJBswwMh2eVlYv7GEydO0N69e1UVmS0jc4Xjxo0jFoo5lS1blvr27Sste/IfC7qTJk2SDilSpAg98cQTuodfv36dpk+fLsnAefPmpSeffJJy5cql2v/nn3+m06dPU8uWLalRo0ZO2x2jJLOozFGGw8PD7ftcunSJZs6cSffv35fyWAju2LGjPUIxZ3733XcUH2+LutOiRQtq3LixtO/du3clMfzkyZN05swZKY/F55dfflmSl6UM8d+2bdto7dq18qokRXM9xYoVk6aH5wjL27dvp6JFi1Lv3r3t+/GCo+xcp04dat++vbSdIz/zFPHMEAkEQAAEQAAE/IUAhGTr9xSEZOv3EVoIAiAAAiAAAiBgI3Bi/mzaN2mMLo6QsHxUtGlrKtK0DRWq25CyZtOeeUurAI7CfG59NMVGL6HL+8Ugdp2oyHxs0WZtqMF7n4vys2kVhTwQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQUBGAkGxDAiFZdWl4LyMmJob27NmjqtAbMvKRI0fo999/t9cdHBwsCcIFChSw57mzIEcz5n054vBTTz2lGbVYLovPeenSpZIIzdGFH374YSfZd8uWLbR+/XqqX78+tWrVirJmzSofKr2y1Pzrr7/aIzsHBQVJEi+LvOfOnaNr164RRzXmdskpT548kthct25dKcsx0jJnsNDM+/DxJUqUkCTir776Sj6ccufOTfXq1bPL0ampqfTnn39qRrWWD6pYsSJ16dJFivIs5/ErC9MzZsyQslhArly5snSOHFGZIyZzPyCBAAiAAAiAgL8QgJBs/Z6CkGz9PkILQQAEQAAEQAAE/iFwfN4PtH/KP3+T+WeL81KwiJRcuH4TyhVZjFhUDs4bTiF5wyhbnlBKvnmdEq9eoeSrl8XrZbobf5Eu791J95OTnAvRWONIzA0+GAMZWYMNskAABEAABEAABEAABEAABEAABEAABEAABEAABEAABPQJQEi2sYGQrH+NmLrl77//pt27RUQWRTJbRt66dSsdPHiQLl++rKiZpAi9hQoVopIlS1Lr1q1V2x0zWPjlaL+xsbEiqMwD+yaOKMzRlitUqECVKlWy5zsu3L59m/744w9iBiEhIZJAnD9/fikqMberU6dO0vGOxzguJycnS0Lw8ePH6d69e9ImLodlYpaYWXresGEDsRRcrVo1KZ/lX8e0a9cuaR8WgTmxCMwRi5s1ayZFOR49erTULj6HcuXKUc6cOR0Pl5aPHj1Ka9asoRs3bti3cdTmBg0aSAKzPVOxsGnTJtq4caOUy8I1t5GjOCvla8VhWAUBEAABEAAByxGAkGy5LlE1SH5Oc3zlZR5gxTNK8LMUP1slJiYSDxZDAgEQAAEQAAEQAAFfEzi3YSXtGfsxJd245r2miL8ble7ci2q+8rZHkZe910DUBAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgYGUCEJJtvQMh2QdX6alTp4iFWGUyW0ZW1ufr9YSEBLp48aIUNZgjFEdGRhKLye4mlmlYYE5JSZGOlaXjW7duSaIzy9GuEss3HLGYj4uIiHCKZszSNLfJnXT37l2Kj4+XIkPnzZvXnUOkCNHc9sKFCzvV69bB2AkEQAAEQAAELEIAQrJFOsJFMxxFZN6N1yEkuwCGTSAAAiAAAiAAApYgkHT9qiQln9u4yvT2hJevTDVffpsKVKlhel2oAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAIDAJQEi29SuEZC9f36dPn6adO3eqas1sMrIKADJAAARAAARAAAT8jgCEZOt3GYRk6/cRWggCIAACIAACIKBP4NrRg3Ri/mw6tz6aUsWAdCNTjvwFqdLAoVS6a18xWD2rkUWjLBAAARAAARAAARAAARAAARAAARAAARAAARAAARAAgUxGAEKyrcMhJHvxwo+NjaUdO3aoaoSMrEKCDBAAARAAARAAAT8gACHZ+p0EIdn6fYQWggAIgAAIgAAIpE0g4fIliv3zd7q0ZwddPbSP7iclpn2Qxh7hZStSZKMWFNm4JeWvWJWEiayxF7JAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAwDMCEJJtvCAke3bdpHvvM2fO0Pbt21XHQ0ZWIUEGCIAACIAACICAnxCAkGz9joKQbP0+QgtBAARAAARAAAQ8I8CRkq8dO0TXDu6hxGtXKPnmDUq+fZPuidd7CXcpOHceCgnLJ/6FU3bxyv9CwvNRgao1KWdEpGeVYW8QAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQcIMAhGQbJAjJblwsGd2FL7Zt27apioGMrEKCDBAAARAAARAAAT8iACHZ+p0FIdn6fYQWggAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAI+DcBCMm2/oOQ7IXreOnSpZSY6DyVJGRkL4BHFSAAAiAAAiAAAqYSgJBsKl5DCoeQbAhGFAICIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACugQgJNvQQEjWvUSM2zB//nynwiAjO+HACgiAAAiAAAiAgJ8SgJBs/Y6DkGz9PkILQQAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAE/JsAhGRb/0FI9sJ1fPjQITr5998UGhpKZcqUoeLFi3uhVlQBAiAAAiAAAiAAAuYSgJBsLl8jSoeQbARFlAECIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAAC+gQgJNvYQEjWv0awBQRAAARAAARAAARAwAUBCMku4FhkE4Rki3QEmgECIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIBCwBCAk27oWQnLAXuI4MRAAARAAARAAARAwlwCEZHP5GlE6hGQjKKIMEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABENAnACHZxgZCsv41gi0gAAIgAAIgAAIgAAIuCEBIdgHHIpsgJFukI9AMEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEACBgCUAIdnWtRCSA/YSx4mBAAiAAAiAAAiAgLkEICSby9eI0iEkG0ERZYAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACICAPgEIyTY2EJL1rxFsAQEQAAEQAAEQAAEQcEEAQrILOBbZBCH5f+zdd2AUZf7H8a/0HjpEEqpALKE36SLlrIB0BBQsiAoe+LPez9/deXeeggVPREWaioIUQSV0wVAEgwiBJLQAEkpACKETkhB/+332dk3I7maT7JJhfc8f2Zl5Zp555vVMSIyf/a5FJoJhIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggErACBZPvUEkgO2EecG0MAAQQQQAABBPwrQCDZv76+6J1Asi8U6QMBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAH3AgSS7TYEkt0/I7QggAACCCCAAAIIeBAgkOwBxyJNBJItMhEMAwEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgYAUIJNunlkBywD7i3BgCCCCAAAIIIOBfAQLJ/vX1Re8Ekn2hSB8IIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgi4FyCQbLchkOz+GaEFAQQQQAABBBBAwIMAgWQPOBZpIpBskYlgGAgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACAStAINk+tQSSA/YR58YQQAABBBBAAAH/ChBI9q+vL3onkOwLRfpAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEDAvQCBZLsNgWT3zwgtCCCAAAIIIIAAAh4ECCR7wLFIE4Fki0wEw0AAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQCFgBAsn2qSWQHLCPODeGAAIIIIAAAgj4V4BAsn99fdE7gWRfKNIHAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAC7gUIJNttCCS7f0ZoQQABBBBAAAEEEPAgQCDZA45FmggkW2QiGAYCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQMAKEEi2Ty2B5IB9xLkxBBBAAAEEEEDAvwIEkv3r64veCST7QpE+EEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQcC9AINluQyDZ/TNCCwIIIIAAAggggIAHAQLJHnAs0kQg2SITwTAQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBAJWgECyfWoJJAfsI86NIYAAAggggAAC/hUgkOxfX1/0TiDZF4r0gQACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAgHsBAsl2GwLJ7p8RWhBAAAEEEEAAAQQ8CBBI9oBjkSYCyRaZCIaBAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACJCqs5wAAIHZJREFUCCCAAAIIIBCwAgSS7VNLIDlgH3FuDAEEEEAAAQQQ8K8AgWT/+vqidwLJvlCkDwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBNwLEEi22xBIdv+M0IIAAggggAACCCDgQYBAsgccizQRSLbIRDAMBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIGAFSCQbJ9aAskB+4hzYwgggAACCCCAgH8FCCT719cXvRNI9oUifSCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIOBegECy3YZAsvtnhBYEEEAAAQQQQAABDwIEkj3gWKSJQLJFJoJhIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggErACBZPvUEkgO2EecG0MAAQQQQAABBPwrQCDZv76+6J1Asi8U6QMBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAH3AgSS7TYEkt0/I7QggAACCCCAAAIIeBAgkOwBxyJNBJItMhEMAwEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgYAUIJNunlkBywD7i3BgCCCCAAAIIIOBfAQLJ/vX1Re8Ekn2hSB8IIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgi4FyCQbLchkOz+GaEFAQQQQAABBBBAwIMAgWQPOBZpIpBskYlgGAgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACAStAINk+tQSSA/YR58YQQAABBBBAAAH/ChBI9q+vL3onkOwLRfpAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEDAvQCBZLsNgWT3zwgtCCCAAAIIIIAAAh4ECCR7wLFIE4Fki0wEw0AAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQCFgBAsn2qSWQHLCPODeGAAIIIIAAAgj4V4BAsn99fdE7gWRfKNIHAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAC7gUIJNttCCS7f0ZoQQABBBBAAAEEEPAgQCDZA45FmggkW2QiGAYCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQMAKEEi2Ty2B5IB9xLkxBBBAAAEEEEDAvwIEkv3r64veCST7QpE+EEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQcC9AINluQyDZ/TPis5bk5GTZtGmT1KhRQ2rXri3lypXzWd+B3tGVK1fk7NmzUrRoUSlTpkyg3y73hwACCCCAwHUlQCDZ+tNFINn6c8QIEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSubwECyfb5I5B8DZ7jBQsWOK+iYeTWrVsXWCh5y5YtkpKS4hyPq5UbbrhBihcvLiVKlJCgoCAJDg6WwoULuzrUb/suXrwoa9eulf3794sGac6fP2/MNNDdpUsXMz6/XZyOEUAAAQQQQMArAQLJXjEV6EEEkguUn4sjgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCPwBBAgk2yeZQLKfH/aMjAz59ttvJT093XmlggwlnzhxQhITEyUqKkqSkpKcY9IVDR9rEPny5cuigeC0tDTTXqRIEalTp460a9dOqlWrluUcf2xcunRJvvjiC6lYsaL06tVLNCCthnFxceZy4eHhcvfdd/vj0vSJAAIIIIAAArkQIJCcC6wCOpRAcgHBc1kEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgT+MAIFk+1QTSL4Gj/xOW5A2bufOLFcqyFCyDuT48eMyc+ZM55jCwsKkZ8+ezm0Nrxw9elQiIyPl0KFDzv2dOnWSNm3aOLf9sbJixQrZunWrDBo0SGrWrGkukZqaKrNmzRINVOv1dRwsCCCAAAIIIFCwAgSSC9bfm6sTSPZGiWMQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDIuwCBZLsdgeS8P0O5OtNqoWSt3DxhwgTnPWj14/bt2zu3HStXrlyRZcuWSUxMjGOXqVrcsGFD57YvV1JSUuS9994THd+oUaNEg9uORSs3ayA5JCTEsYtXBBBAAAEEEChAAQLJBYjv5aUJJHsJxWEIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgjkUYBAsh2OQHIeH6C8nGa1UPI777wjWnlYF3eBZG1LT0+XiRMnioaTdalataoMHz7crPv6y+7du2XRokWm2zFjxkjJkiV9fQn6QwABBBBAAAEfCRBI9hGkH7shkOxHXLpGAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEDAJkAg2f4YEEi+xt8OVgolextIVqLPP//cfNM4uJ599lkpUqSIY9Nnr2vWrJGoqCjTH4Fkn7HSEQIIIIAAAn4RIJDsF1afdkog2aecdIYAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggEA2AQLJdhICydkeDf/vsEooOTeB5GXLlkl0dLQTZ9SoUVKuXDnntq9WIiIiJCYmxnRHINlXqvSDAAIIIICAfwQIJPvH1Ze9Ekj2pSZ9IYAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkF2AQLLdhEBy9mfjmuyxQig5N4Hk6dOny4kTJ4xN0aJFZezYsXLDDTd4tLpw4YIkJibKsWPHpESJElK1alUJCQmRQoUKZTnv5MmTcvr0abNv48aNcvToUbN+3333SbFixZzH1qhRQ0qWLOncdqwkJyeb62g/QUFBUr16dalWrZqj2eWrXm/Xrl3Spk0b056UlGSC0MWLF5dGjRpJqVKlspyXkZFh7l/Hdu7cOalcubK5F0+hbD0nISFBzpw5I40bNzb9paamSmxsrOmrUqVKUr9+fa+C3ZcvX5bjx4+b+zx16pSUKVNGgoODpV69ejnOQ1589B7j4uJEXbQSdpUqVaRmzZqSlpZm1gsXLpzFhw0EEEAAgT+mAIFk6887gWTrzxEjRAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBC4vgUIJNvnj0ByAT7HBR1K9jaQrMHiSZMmOaVCQ0Nl8ODBzu2rV9LT00UrKu/du1duvPFGcYRpNaCrwda77rrLhGkd523evNmEdHVbg8J6vC56bObwsp6XOWh89uxZWbhwoQkIawhZg7ca1tWlQYMG0q1bNxPcNTtsX7Tf3bt3m6DtwYMHTUj6mWeekfj4eFm0aJFcuXLFHNqwYUPp1auX4zQTKv7666/N8RUqVDDB4PPnz5uxtW7dWtq2bWtCu3qC3uOBAwdkz5495v4vXbpkgryDBg0y112xYoXz/vR4DXX3799fateurZsul507d8ry5culbt26ovbqu2PHDhNq1mC0Brc17H31klsfx/laoXrVqlUSFhYm4eHh5nrqtnXrVnPI008/LaVLl3YczisCCCCAwB9YgECy9SefQLL154gRIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAghc3wIEku3zRyC5gJ/jggwlexNI1jCyhnX1G0YXrZY7bNgwExZ2RaeVdRcsWGCCwL179xZHJV0NCs+ePVscQd4hQ4ZkCSU7+po3b57s37/fbD755JNStmxZR1OW10OHDplxtWjRQm6//XZnmwaBNTyswWCtXjxixAjRqsd6/fXr15uQsAZ6ddGqzf369ZMlS5aYysuOe9TQ88MPP2yO2bJli6xdu1b0XjKHhtesWSNRUVHmGK1y/MADD5h1vb9t27ZJdHS0uVfdqZWFNZitlZE15KuVnvVaP/30kzlHqzHrOK8O+eo9aDBYA8L333+/3HTTTeZ4/aL3M23aNHOfeh/Dhw/PUmk5tz6OjrUK82effWbutW/fvo7d5nXDhg3GcNSoUVmuleUgNhBAAAEE/lACBJKtP90Ekq0/R4wQAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQOD6FiCQbJ8/AskWeI4LKpTsKZCswdqEhATR4K2u66Lh4B49eki9evXcqs2dO9eEZR977DFnGNlxsFYi1rCyLlrZV0O/jsCy4xhvAsla6XjKlClSq1YtE9R1nOt4Xb16tWjVZV0aNWpkKjI72k6cOCHTp083mxqu1nCwVkPWUK8GoePi4qRp06Zm/5EjR2TWrFnmnps0aeLowvk6c+ZMUy1Zd9x7771y6623OtuSkpJk6tSpZlurIGtoWSsZ6zUdS0REhAkb67a23XLLLY4m86qBZ/Xv0qWLtGzZMkubbqi1VmPWpWvXrtK8eXOznh+f7777zgSlu3fvbhxMh//9ohWktVK2BtK1UjQLAggggAACBJKt/wwQSLb+HDFCBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIHrW4BAsn3+CCRb5DkuiFBy5kCyBoQ1cHzp0iXRqsha6VgXDQxrdV8NITdr1kyKFi3qVkwDvRoobtOmjXTq1CnbcRpoffvtt01VX23UCrxXh5u9CSRHRkbKpk2bTHXjunXrZrvOwYMHZc6cOc7948aNyzLu999/3xmyHjp0qLk/58GZVrRSsFYMHj16tKmynKnJrK5bt04cQazg4GAT1HUco1WY33rrLbNZsmRJ04cGkzMv27dvl6VLl5pdbdu2lQ4dOjibNQT+8ccfm3E/8cQTWYLMjoO0CrLep/Y7cOBACQkJMU358XGEnOvUqSP9+/d3XMr5unz5cvMcVKlSxbmPFQQQQACBP66A4+dgQQkEBQWZn9H6aQjFihUzPy/1dxd9A5C+6s/IQoUKmeHpq+Nn8dWvmcfvaMu873peJ5B8Pc8eY0dA5Py5VClTthgUCFhW4LffRM6cvizlKxS37BgZWO4EdE4vXkiT0mXc//0ndz1a9+jTyZclqHxx2++I/h1j8qkUqVCxhH8vEqC968/BosUK237nL5ynO0xJuSK/ZfwmJUv9XiAgTx1xEgI+Ekg6mSKVKvPvgY846QYBBBBAAAEEEEAAAQQQQAABBBCwlACBZPt0EEi20GN5rUPJmQPJVatWNYFWreyrgV7H4qpyr6Pt6tdPP/1UEhMTTWC1YsWKVzeb7fXr10tKSopZv+OOO6RVq1ZZjsspkKznaqBYw816viNklLkTPUav41geeughqV69umPTVC7W+9Sg0rPPPusMJzkPsK3s27dP5s+fL+XLl5cWLVpkbnKu673GxsaabQ1BjR071tmm4Z/x48eb7VKlSplAsrPxvyuZqzXffPPNWao9L1u2TKKjoyUsLEx69ux59anObQ2Pq4GGnnXJr48GpDUorUt4eLh069YtS5hbr6ehdL1fFgQQQAABBAgkW/8ZIJBs/Tm6liPcsWOH+R1X30ionwYSGhpqPuWjcePG0r59e/M7pb4ZT98Qp78Lslx7AQ0C7og+IUsjfrG9efGAFC9RRJaveuDaD+Q6veLfX9kob0/ZJjFRQyS0VlmXd/HdigTpNXSxTHnrThk0pKHLY9jpnYAGkTt3mifxx87Kq//TRsY+18y7Ezkq3wJnz6RK3ZtnyKCe9eW9D7rku7+US+myLvKIrLJ9fyyM2CfjxjSTJ55qlO9+fdGBr+/VMabJ/4mWl/71g9SqUkZWr+krlavY/67iaHf1quHYqR/F2P5tLiyjnm7sPGTThkTZtDFRbm8XLK1vD3bu15Vhg5fJnOXx0qtzHZm74J4sbWy4Fkg8ckG+W5kgS5YckKXrEmTbD4OlVp1yrg/2sHfj+qPS78EltsIIv8mcT++SjnfY38jv4RRLNv1oe7bee3ebxO5Mkl+On5M61cvJbbdUkpf+0lJuvrVSrsf8y/6z8sa/N8srf20tN4aU8er8Y4kXZPrHMbJt2wk5fPS8VK9ayvb332ry6MjbpHpwaa/62BF9Uj6ZESt79pyWpOQUqRVaVjrfESrDHr5ZSpTMOTCuvyMtjzggCxfus31i3BlJS8uQenWDpG+/+tLjnjp+f2OBVzfp5qCdsUmycnmCLI7YL4dtlnFxw9wcmbvdEd8ckK8XxkvsrlO2vwmnyy1hlWzzUlVGPhkupUpb800lV678Jl9+vtv23yLn5bmXXP/NPXcKHI0AAggggAACCCCAAAIIIIAAAghYR4BAsn0uCCRb55k0I7mWoeTMgeR27dqZEIJW9tVgsYZlddHg6ZAhQySnirgZGRmmIrC+1q9f36vAaq1atbIFHXIKJCckJMjs2bNNKLZBgwZmjDl90crOWuXZsUyfPt3cn1ZP1ECyq0UDzRs2bDCB5Bo1arg6JNs+De9qhUZdvAkkJycny5QpU8zxei+9e/c26/pl6tSpoqFpd9WmnQdetZJfHw2mzJo1y9mrBss7d+5s5tS5kxUEEEAAAQT+K0Ag2fqPAoFk68/RtRih/o6un1Sin4ahS9euXUXfEHf27FlbICJOoqKiTGVxfZOb7tM31nXpkv+A27W4t0C6xq/HL8rwYStk5U+HnbfVuUmwrPiuj3ObFc8CTRrNktK2AM6GjQPcHjjmyTUyff5OObRrBBVL3Sp51/DlF7tl6OiV5uDalcvInt0Pe3ciR+VbYO7sPTLk6RWyaOY9cvd9dfLV3yfT4uS18VFy4OR5Zz/v/r1DlsCts6EAVnx5r5mH3zj8M9l59IzZNXVCFxk24pbMzS7XNfzXe3iE3NUmVL6O+P3N4316fivfrj8oi2fdJ93vquU8V4O1tRrNcG7vjhoqdeoFObdZyS4w8pFVsvL7BDl8+qKz8Zfoh70OzjpPsq2MHrVaPpobZ3Y9fH9DmTKjW+Zmy6+np2fI00+slukLd7kca/EihWTSa53loUdyfna1g0MHz8n41zfLjAW7JPVKhuz6cajUvSnn5/HD97fLi//YIHVtQeg3Xm8vt4VXljhbwPbFF9fLXtv30OTxd8jgYWEux6g7NTis9zFj0S4TzH/u+eYSbAsxR645LM/973opZXvz1Vfz7pVGTdx/GpsGovv1iZDNe36VF59oLgMfbGgKTMybs0f+9f5P0iG8unw5/x7L/VzfH39G/vLyBllmC9ZfSE03RmHBQbI9ZqhbL28aDuw7I48/ukoitye6PLyhba4++rCrtO3w+9/DXR54DXfqGwPmf7lX/v16lMQePi0P3ddQPp55fX1PXkMuLoUAAggggAACCCCAAAIIIIAAAtepAIFk+8QRSLbgA+wqlFyvXj1p0qSJT0frKpCsF9Cg7CeffCKXL18219MqwVpluEQJ9x8np+FZDdHq8uCDD5pqy2Yjl19yCiRv3bpVVqxY4bG6cU6X9CaQ/M0338jOnTtFQ9MDBw7Mqcts7fkJJGv1Zw2MaHBEw8CtW7fO1r+7Hb7w0UDKmjVrslxCQ9k9evTIMZie5SQ2EEAAAQQCXoBAsvWnmECy9efoWoxQf/+dPHmyedPghx9+KI0aZa16uWvXLhNCdnxSxnPPPScDBrgPdF6LMf+Rr7HWFtDp2neRISCQ7P2ToNUHG3ecLf98trU8/3JLlydqGKZOvenSyFZB8NulvVwew07vBTQg1qzVF3Ly4mUZN7yxvP5mB+9P5sh8CQwZuFSW2wJuh/Y9avtbTeF89aUna8XKx4avlFkRe0xfVgok+/peHVj/9/IP8vpHP0uFksVkyw+DJKSm66rqjuP1ddyY72XS5zHy5l/ayZhxTU1TauoVqV77Y1OFN3H/Y1KyVNZKr106zpP1scelZYMqsv6HAZau4pr5XgtyXZ/Hxo0+kz226uu6HIodIdWql8r1kJYtPiB9Ryw1533+YQ/p+UC9XPdRkCdoiPfrZfvllRdaS3tbsLRChRKy3fYpCm9O2OIMopYuWlg2fT9QGoZVcDtUDcZPeGOzTPtyp1xKv+I8zptA8rtv/SzPvfaD1KxYWrZsHixB5e2FGLQTrRjeouVs+eXkOZn65p0yxFbp+OpFqxoP6LNYFkX+Ij071pa5X92b5XsgeusJub37XClbvKisXtpHbg3PXvH5xK+XbJ+SN888D+Nfait//p+s1fg/eC9anvnbOmlcu6JEru1nycrAWpW6QctPDc9toRXk520PXk3l9fa5s6nm0wliDyVL2I3lpWnjKpKe/ptsif5V4o/bv2e0s3I20y0bBuWpurjXg/HiQH0GFi2Il9dei5Log6ecZxBIdlKwggACCCCAAAIIIIAAAggggAACASRAINk+mQSSLfhQaxBWK5VlXrTq8NXBgczteVl3F0jWvvbu3StfffWVs9vatWtL//79TfUJ585MK/v27TMf/6y7/vSnP4l+7HNelpwCyRqU1cCsLo8//rjtj/Hu/+Du7vreBJI1kH3s2DEpU6aMPPXUU+66crs/P4HkkydPyrRp00zfTZs2le7du7u9ztUNvvDRPvfs2SMrV66U8+d/r5BUqFAhE5Bu2dL1/9y/eixsI4AAAggEvgCBZOvPMYFk68+Rv0d46NAh83t8WlqaDB48WMaNG+fykhcvXpSRI0eaN+XpmxFHjx7t8jh2+l/g8uUrUvbGD8yF8htIvnghTVavOiT39qzrduDeHOP2ZAs1/PsfUfLXiVGyfd1gCbulosuRbVh7RO7ovVAm/bOTPD4q3OUx7MydwKWL6XLw4FkJu9m1ee5642hvBFIupcuN9abKPZ1qy2ez/+TNKV4d89Hk7TL6lbXmWKsEkv11rw6Q3buSJTS0jNcBxka3fSa7Es/I1u8HOYOT6yOPSJcHFkqPViEu3+igb4SI3ZFkji9U6AbHpQP+9at58bafPXVsb4bKW2D+gfu/kcUbEoxT4u5HpVJl90USPGHqGyd+yxAJrlHa02GWa9PK4G++tUUW2ypxV62WNYxtQr59I2TR9wfMuP/yZHP56z9ud3kPRw+fl0Vf7ZOu3WvaQqsZ0qnHfDmTkmaOzSmQrG/0adXlS7lsO2/mO11dVkHWireDn1wuQSXs4deatctlGceMj2Nl5ItrpIjt2Y/dNMRlhfA/P/29TJ4dY0L7kev62T61o1CWPkbYPj1C3yxxS43ysnnLYNun5mVt1wB7G1swWsOuzwxrJBPe6ZjlfKtsVAj+0FRJ1uC03kdel0H9l8iGqKMyY0p3udM2r45F/62Z/J9o+d/XN8rFNHvwvHvLEFm8rGDfgDV71m6pVKmENG1eVf716o9mrnXMBJIdM8crAggggAACCCCAAAIIIIAAAggEkgCBZPtsEki22FOt1cliY2Ozjap9+/ZSrVq1bPvzs8NTIFn7jYyMlE2bNjkv0aJFC7nzzjud25lXNLyrIV5dWrVqZatccUfmZq/XcwokZ67e27dvX9HK0bldvAkkz58/XzRkrcvYsWNNNbncXCc/geQLFy7IpEmTzOVCQ0NNcMTba/vCx3EtrZC9fv16+fnnn021Zsf+bt26SbNmzRybvCKAAAII/IEFCCRbf/IJJFt/jvw9Qn2T4WuvvWYu88ILL0i/fv3cXvLUqVPSp08f6dChg7z66qtuj6PB/wIlKk8SW65E8htIHjlipVSpWkr++Xo7t4P25hi3J1uooU2r2ZKamuGx6uAL49bJu59Gyy/bh0v1G6+vcJqFqBlKAQt8u2i/9HlkiXz+fnfpN7CBz0bzybQ4eez51aa//7zaUZ54Kms1fZ9dKBcd+eteczEE56EH9p2Rhq0+k5oVSkt8/HDn/r+/slH+NXmLTHi5rTzzLH8rURgNsrbtOk+OxD/iddjbCfrflQG2wO3CNfbA7a/xj0n5Cr9X5r362EDcvqv7Qnnn3U5u3+yRueJur851ZO6Ce7xi6NRurmzc9as5NqdAcu/7vpGIHxKkdLEictRWjf3q6t/aib6JKrTeNDl9KVWG9wqTj6Z1dY5D31BQt8EMU0X/zuY1ZOmK3s62zCs/bkyUDvcuMLumv5W10vLmH49Ju7vnm7a//7mVvPRKq8ynOtfffP0neXnCJtHM/84fh7oMPjsPLqCVaiFTJNnm1KxeJdkUNShPo9B5b9VxjvwYOcDtPTosHBc4uusRqVylpGOzQF+XL/lF7hu62IyBQHKBTgUXRwABBBBAAAEEEEAAAQQQQAABPwkQSLbDEkj20wOWl253794tMTEx2U5t3bq1hISEZNuf3x05BZI1wDJnzhxJSLBXJNHr3X333RIenr2SlIZXJ06caIZUrlw5U724cGHPVVCOHDliKhyXKvV7pY+cAsnx8fGyYIH9j9RhYWHSs2fPHBn0nJtuusl5nDeB5NWrV8vmzZvNOVqhWCsVe1oyMjLkwIEDzoB0fgLJeh21VFNdRowYIVWqVDHr7r4kJycby/z6nDlzRoKCgrJcJikpSRYvXmwqRmtDsWLFZNSoUbaPhc1bdZosnbOBAAIIIHBdCxBItv70EUi2/hz5e4RvvPGG6O/YunTs2FHefvttj5ccP368+b32gw/sFXo9Hkyj3wR8EUh2hAuff6yp20CyN8f47SZ92LEjKPjyqObyt3+6rhKpl2vYcKaEVC8j30X29eHV6QqBayvw+PCV8uWSeDm89xEpW66Yzy7u+PdAO7RKINlf95oXtKkfxciTL3+fLXTpCHhmrpqcl/4D5Zzz51KlU8d5siMhWU4njPRJIPnk/selXJDvnnWrW585fdl8ukHvvr//LdPVmKvaAq4aBB4zNFzenNjJ1SHZ9vXo+pWs2XrU7PcUSD7x6yWpdet0Sbe9OyqnwPODA5bKvFX7pFzxopKwd4Rzzr9ZuE/6PrrUXOvtV9rL039ukm08ukMrPteqM1WOnUuRrrbg8pJMweXnx66ViZ9uN+dtXjVAGjd1/ffRuJgkadJptjnOU3DZHFBAXxyB5Bb1K8sPmwbmaRQaNtaq42PGuf87dVpahoSFzZRDpy+aa6yY21M63xmap+v5+qS1aw5L176LTLcEkn2tS38IIIAAAggggAACCCCAAAIIIGAFAQLJ9ln4fwAAAP//qnB6ywAAQABJREFU7J0FWBZL28f/77G7C1ERE1CxC8RCEbsVVOxuPbYe45jHOnZ3oGBggt2JiqikKAjYiZ3n/eaex1n2SR4Rz/H9zsx1uTs7c0/svTu7++Bv/vOf/7IAGf5xD4SHh+P69et6/ahUqRIsLS310pMiYe7cufj48SOvysHBAY6OjnrVvnnzBmvXrsXr1695XrJkyeDu7g4LCws926VLlyIuLo6n16pVCxUqVNCzEQmPHz/Grl270LlzZ1CdInh7e+P27dv8sE+fPsiQIYPI4nuqn9oRoWPHjsidO7c41NvfuHEDERERaNq0qZK3evVqUPvJkyfH0KFDlXR1hMrt27ePJ6VLlw49e/ZEihQp1CZa8f379yNXrlwoV64cT6dh9ccff/B42rRp0b9/fy17Onj+/DmWL1/O04sWLYpmzZopNhs3bsTdu3f5cZEiRdC8eXMlTzdy//59+Pv7o3Hjxtz/3+Ofbdu2cV+Rb9Th06dP2LFjB6KionhymzZtYGVlpTaRcekB6QHpAemBf6EHzp49+4+edaZMmZAqVSr+L2XKlPzdTt8V9B6j/X/+8x/88ssvvI+0p2MKunue+HUj8tRp/8tx8amv3lP8r7/+wpcvX0DvePoefP/+/Q/75vxf9t//h77TN6mXlxc/FRobe/fuRfbs2Y2eGv0uGT16NOi7UIZ/zgOpsy/EX+yXeo3SeXDwSItv7sip47Fo1HYP3n76guHdy2DydAe9Osyx0Sv0kybMm30Fw6aexfkDrVG2fE6Dvbxy6REqu3hh5uiqGDi0rEEbmSg98LN74NOnv1DAehWqlsuNbT6NkrS761YFo/vwo7zO+ZOc0KtvqSSt/1sr+5Hn+q19IXu31vux/chtbFhQB23ci/Eqnj97D4tiq5A3U1r2t6fOian2/1WZjx+/oH1bX/iciOLn9SK6J9KmM/63NFMn36blPuw8FslNnkb2QIaMKU2Z/+vyXr38iBzWy/m3wnGf5qhaTf/vtIac4uK8A8cC7vGs0AsdYF04kyEzrFp2A71HH+d5v/WvgLETKhm0o8Spky5gwjx/nq8eH53aH8Bm35s8/ZB3U1SvZfzv2/Xq7MDRK/fwC/u5diugE/LmS89+r/wXRYuuRfTzN0jOMl7c7YWUKeP/hswr/rqh50UmiyX4zMrYWGRC4PUO6uyfIp7Lcjmev/uICkVz4My5NonqU5MGu7BpiyvSZzA9HsjO93wMb8NreT00bVE4Ue0ldaGTx2Lh3NKHV9uxUTGsWFsnqZuQ9UkPSA9ID0gPSA9ID0gPSA9ID0gPSA9ID0gPSA9ID/yjHoiNjUXq1KnZ37FScs6QmAXBKRCHIFgEsf9HO/sDG/8PAxIkkPwDHWxO1Tdv3sS1a9f0TH8kjEyNzZw5k8MoFK9cuTKqV69OUb1Ag8XT01OxTZ8+PQgEpr06BAQE4ODBgzyJ4CACbAsUKKA24XGCnNevX4+KFSsqAK8w2rp1qwK99u7dGxkzZhRZyn737t0ICQnhxzly5ECLFi1AQJJuiImJ4fBF+/btOSws8s0BkgnQIVj45cuXvJiNjQ1cXV0NQsnnz5/H5cuXObQsQF4aVgkByc+ePcOKFSt4/bpAclhYGHx8NH+gJYOyZcvC2dlZeTDxQmxDdZDPWrdujWzZsvHk7/HPli1bUL58eRQurP+HavLn5s2beRsJgeCif3IvPSA9ID0gPfD/2wMSSP75r6/41FfvKS6B5J//2iVVD+nbcNKkSUp11tbWWLBggdb3sZL5NUITJUuWLKmbrHVMk+IIXqbvVvphTZPo6J8h2Jkmzz18+FCrPP3+ELY06fDUqVNa+XRQo0YNvd8clP7q1Svs2bMHderUAf0eoOPt27fzb/eGDRuCzlE30IRE+g0RFBSEp0+fIm/evKDfW7a2trqmWsf0u4B+r1E5OodChQqhVKlSyJMnj5ad+oC+0elbniaW1q5dW2sCptrOVNwQkPzo4Vvs3B6B2xFxyF8gA6pVz4tSpXPoVbN/TyTadffDGwYjU2hR2xodOtjweOrUyVCrTn6YY8MLfN1cvfIIp0/eQ79BpXnKg3tv4LkpDKGhz9g1SINKlfPApX4Bo6AQFdq76zbOn7uPhw/ewrpQJpQumxMVK+VGbMwr2JfRP4+QoKfY5nUTzqy/VRxNg1a1q29D7IPXrD+d2G+mr53W2U0Yew5Tl1yGALAIXlq94oaOleawY2dbpE6THJ4bw9h99cGgTZfuJdjvQ82kl4jwFzhyOFqxy5QpFdq2K4Yd3hFsMuxbJV1E6tQtwCEwAnNCQp6JZK29a30r5LfS/B5+++YTNqzT/AYWRh062uBa4BMEXn0skpR9iRLZ4OCUFzfDnuPoEQ2QpGR+jdjb50Blh/j7WPdcazvnR+GimXWLGTyOjX4Fnx23lPvDkNG3Xn9Rx7On73H963m+YX6wY+dG/6wLZzZ6rUVZc/ff08b5s/dx6+YLtGPXg8KxwzHw2x8FezY2W7QpwiZNacNzwTee4sK5BwgJfopUqZOjfIVc/B/Bd+aEIwej4eq2Gyv+qIWOXY0/v2LuvOL3x7XAx0ibNjlKlMwOu5LZkDtPOqPNGAKSCQj02xfF77NXrz6yvuaGo5MFcuZKa7Qeuh9o7HbqaofMWVLh3dvP2Lo5DFfZvUrfIJUq5UFd1wLIzp4dpoLuudJ1or6oA/XD2SW/kkRjKjZGM6FeJBawysDHgzhW7z9//guHDkQjQ/oUcGTPVHWga3s3Nr6uPkOOcZhwwe9O7P2l6fv1a0/4c8XRLhf69tM8H6kOF3Z+amCQ4NGd2yJQyzkfLPNrT7wXbSZ2jJB/g9h9FRjwmE1sf83exZlRolR2FLPJYvKZTO0eZud+8cJ9uLUrjoLsuWwovH/3mT8Lb9x4gresLRubrKhUJTd7D6bjf6PKx95HFOg5RdC2gCApbcvSeuwbQTMGSrI+CVvKEyE89DnI1/7+D9j7JC2qOlhwcLW9m69JIPnDhy/wYvdVXNxHdOhkg0yZU4kq9fYBlx8hjLVDz2VDwdxzNFQ2MWON6nn86B3WrQ6CVcFMDBYtxCZUat4nhtowlOa3NxKNO+5D//YlMXue4b/nGipnLpDcuP4u+F3QvD/W/ekMtw7FDVXH07aw7wGPAYd4vImTFbx3NgRdn7wFV+Llh088/XZAR6P3Phn063UUy72Due2sMQ4YMKQMvy+cGm3naUVzZ8SNIA8eN7YpVWIDQu9rhDIuHGyNMuXiJyh9y/1C9dO31iX/hwhl7+j8bMzSZCdD31y6faFnytUrj3nfr19/wseLUw1LXj4pgGTd9owdD+hzDEu3BvHs62faoVjxLHqmxsb/cfbdEMa+HwwF9bcP5e/eeQv3779RTFOw+7hLjxLKsW4kMUDyt4yVN68/Mf8/4teOrnkp9tyhb0hTz4fX7N3my94tWbOmRu26mvdJdNRL/h6jZ2rlKnlQj32TyUkRuldTHksPSA9ID0gPSA9ID0gPSA9ID0gPSA9ID0gPSA8Y8oAEkjVekUCyobvjb0wj9d7AwEC9Fn80jEwqePPmzVPaJeCgfv36yrFu5NKlSzhy5IiSTArJbm5uXIFQJOpCvETzE3RMYELOnDnx7t07DhufOXOGqxqrFYFFHaTGLGCFTp06GQQlnjx5AoKKBVhDAES1atWQL18+ZMmShasEBwcHg/pM6QTYqsOyZcvw4sULnjRkyBCDkDFlqgFrOibYoWrVqlwdmtokkIFAZIIwyBdq1egPHz7gzz//pGJctXHgwIF6MPG9e/ewYcMGbkN9J+VpdSBVulu3bilJZEPgMsEPdP2io6N5+wSSq9Wov8c/BCTTdaS+6M7GEEAyweak+EyzOGSQHpAekB6QHvh3e0ACyT//9RffS+o9xSWQ/PNfu6TqIX2D0+oW9O0pAq1CMmzYMJPf/8JWd09g7/jx40EritDvB4KKCTi+evUq/46kVTvoG1s9eZHKkM3vv//OVbmpzsWLF/PfChSnb2f6TXT69GllAhyl0+opBQsWpCg+f/4Mmgjo6+uL48eP8zL07ZomTRp069aNr4BCdtQfUoEWEwXp25ba2rlzJ1xcXGBnZwf6YwDVTSA0rRRD/TI0EZK+9UeNGsVXbaFv8dDQUNC3NtXt4eHB26UZzrphwIABEM/H3377ja9komuT0LEukDxr+iVMmXcJbz5+1io6cVBFjBpXUUkLDX6G5i334uWbj3j0+j1Pz5wmJTKn0/QzV7a0WLHSOUGbU2dbcwjUZ0cEtu24iZB7cbDOkYHBsx0xY4o/pi24hHefNcCzaNypZG5s9HTVAx7jXnxAm1b7mO/eoXcvezgwFcdLFx9ixkx/hD14iT5uJfDnwhqiGr4nOKxQsTV4/OYDkjFVxKBz7Y2qON6/+wYF7ddgQIdS+GOuk1Y96oMy9hs5nHfB340ns0chA4ZvouegowowRaqKy5c7owIDpX9h7V5jAOXk3y/C53ikUhUp+vXsUwrlGEgq4GfqLwG5BGSlTPYLfDY05JCk/4UH6NPnKAKjNNAx5W1ZUY9DiaQaepeBkyuXX8eUxZeV+isWy4HfJ1VFFQYLExRNgaDQi+cfwL2DL2JfvAVd9xFjKuAegyWH/3oK25hqqwiUR8BQrtxpQZDNHp/b6DPsmAKo0/2w7M9aHGhXA6EELw8acAKHLsWCgLLV6+qahG+ePH6HXeycd7B75MjlWKRNmRzP7vUS3VD2ibn+VJhAot9Gn8WC9dfQsg5NBMjOgdaDp2PwgilMVi+VB4uX1kKRYvqQldJ4ApHEtkEAovfWcHhuCUPgnWdo5VwIm7a6YvyYs5i29IrSKoGrdK9Q+PjxC34ffwEL1gSid4eSKMWA8FMnY7FpVzgfS5aZ06K8fU4Or5G9lVUmdO5uR1GtMLDvMazwCkZ0cBeDQC9NFuje9RAuXH+E9s2Lsr+ppMOJE7E4efU+Pn75C91b2mLaH47ImEn/2aULJDuysdqjx2FcuvlEqw90D61ZXAcNGmuez5RJ9/JuH839cOr6fa7aevOSB2hiQfd+R/DwleZ5JCrKnyUdNm90RcXKxle80j1XmkRAcPrUyRew+9QdXpWuijzdx5eZGvofMy/hRowGqHOrVxjrNtUTTbO/JQHnz9zDDjbBY/vuCD6mDCmnN2u0G0HhmrH77sNnfg5pkidDxjTxir/P337kfs2TMQ1SfVVuTZ0iGS5dccdfX/6Lg353eDu7jkTy57chFffEjhE6oQ1rgjF4zCmULZ4dNWvmw4MHb7D/UBTuPH0Dq+zpsWheTdSpV0A5d3WEnsNVXb15EsGegdc6sL/zaM/oIMjZrZ0vijBotkfPUshrye4nBn1PmHWRn8/mxS5oycB7CnS9fA/fwb3nb7lPKI36IMLkCVXR2q2oOORjnKDJrftuokOzYnBwzIsvDOZctz6Y7f/Lvin+wtmQR9z+WVQPLcCbEufOvIIR08/y/M5Ni2PZKmceFxu6F3YwCHzb9pt8nDauVsCgqvi3nKOom/bfM9aofPPGu7H3jGYiy+rZtdGeQdXmBprY4+i0FV062Gl9A5hT3lwguXCRNYh+pgFNT+5uoTWBRbed82fuw6mxBhwunicTrt3owCdq2FTeyE1TMUg17n5v/l7VLSuO/5jqj7GzL/DDHq1ssZA939euDEKPEcd4mktFS+zxbSrMDe4bufrgwMVYnrd+fh0tAD2h+0VUSBMq3JjK992Hr/kzOeJ2HIJjn/NnGj3rZ//ppPedI8rS90hr9r1z//EbtG1R9Oukq9dYsOQqalfPhy27b/LvDXrPnz6bOIVk0VZCe+GLdOx59Di2px7wbmr80ztuxbLrmL4s/n1W1SYnZs+tzsDq+G8f6gOBu+PYu8/TLwL0HJk904lNULMy2r3EAMnmjpUlCwIxeuo5lCmSDenYNxa9B+l7IXeG1Jg5tZqibE+de/H8A/btvo1d7N9BNg5pRZFJgyth6IhymPTbecxeGcDVtsWJ0Dv67Ok2Rq+9sJN76QHpAekB6QHpAekB6QHpAekB6QHpAekB6QHpAekBCSRr7gEJJP+DY4FgU/qPe93wo2Fkau/cuXM4efKk0jT9Rz4BwIb+I14Y7dq1i/8nvDgmVbHmzZsztZ14ZZwHDx5wdbLXr+NVZIS92NN/5rdq1UoPBCY1YoKFCZChQKAtKacZCgRAEIwgbA3ZEAxds2ZNrSyCDkj5WJQjBTWCEgwFgnUOHTrEwWRD+ZSWIkUKDmIUL66tFBIZGaksjU12BPjSeauD+hoQ3EvgghpoIB8SOKGGR9TlCRgm4LpKlSrqZB5PrH8I6rhz5w7ofBo1aqQsc0++oOtP8DVdc4LMZZAekB6QHpAekB4QwN0/5QlaIYEmytA/eocSJEjvVLGndyUtgUJBLIVCcTHpRuwpTQRDaSLvf3GvBpGp/3RM/ySQ/L94NRPfZ5qoRxPkCPxVB/peHjlyJFN+06iBqfMMxWnMjxs3jmdt2rSJTzIUdvT927lzZ9A3LE1GpNVCSpTQVkgjCPrYMQ1YogaSRR20J3haTMoTQDLdr5MnT+a/YQhuFmHJkiV8kiVByNQ3sqNnAH3D0+8amkA4YsQIDhHPnz9f6zzVytH0e2DdunWiWr6nVUgWLVqEWbNmKeA0ZdCkw40bNYAN/V6ZPXu2Vjk6oN8Y9LuIAq3WMmjQIB7/lo0CJNvnQZkyObHPLxJ9e9tzWDGcqfFOmHoeT95+4Eub797QiKuNqusnNdIO/TVqheMHVMCY8ZXU2TxuyoZA1yWLruHYiRhcDNP4nADCalUscOLsXTRrWIitqpKZXZP78D50C18YMEuBoOUrl91BsK0IHu5+2HIgArogHgGMtetsR81qlliyorYw5/uo2y9RtMJ6JW3X+oZwbWClHKsjy5dcR7+xJ3B0RzM9hVNhR6B2qWqbOcirBrgpf9yos5ixXAPdGFKaJKi3dJlNfMl4sr/BlAaLGlAapLw8+ZajcV1rLTDuoO8dNGy/h7JhXyAr/BmoqBtaNduLXSejePKSqTXQtaf22BH2bRnodIMp66rBQVKNLVRirQKr3wvtqgeqzp8TgF+nnOHVuLsWwdqNLqJKrf3i+YEY+vtpBJ9vb1QtlQpcYNf9MFPq3ecbqcCq6VMZBpITc/0jb8Whbdv9CLj9FHsY3K2Gm0iFtY7zDviHPwaBVn9OqW5SKVjrBFUHiW2D1MWXM1Br/zkNSEhVEqTmyBQYvb3D8fT5ew7wU/qvXUtjKoN/KXRs58eBLaH8yRPZhnw+aOIpfkiwa9mi2Xm8YsXcmDG7mjDjewLTCxVejeKFs8L3YDOtPDogtcvOPTWrVp072UZLjZTUYWvU8cZTBtAWyJaOKd7WR/mKubTqUAPJw7qVwZZtYXjLJkG4VC/AnqfvcPrqA+U+Y7w+ljOVZo8utryOqZMusL+dPFbuY0oc3Mkeq7cEo55TARDcHMzgZG8GANOziwKd70m/lgYV0k2da9D1pyhTw5PXoQsk80S2IVi+VXdffqgLJE9jkwwIRlu86To+MACWgiEgmWd83YgxNK5feYybGP93KgFtRl/vjNwW6ZQiBIwuXRTIVhJ4Ae/Dt5R03ecgZSRmjNAkiO5dDmPrwQiM7FkWk6ZWVdqgCMHBS7Zo1FF7trbF/MW1lAkUwnDj2hB0GXqEH9K1iArpjCxMIVQEevZVqbwFz19/xK3wzlpq3yeOxqJB291YPqsW3D20/x5mX3KDMgbeP+5rEEIlxVP3Nvvhz4Bj77X19aBptbor9ef5nZ5Ix1Ss1aFn18NY4xPKkyoVywmaSCOC54ZQRES8wOoNQbgb944nGwKSE3uO3zvWqEPFi6/D7ceveN9ovE2Z4cDjCW3I9337H8VnBrxv92Z/02TK598SzAGS2U8FZMi1WAHLrxxry1W3jbVDk3fK197Ks9OxySnP7/fCudP3UL3JDp6WPW0q3Ivpbqw4T1807yoGTzrN4w0d8mPH7sZ8AtS4ORpImVZ78PSqb7KONi33KaraM0ZWxeBhZRV7U/eLMDp76h7cPHzRv6c9fh0ZL25BE3vcevhxfxRkkP0lf3e9CTtX2ESI1m338ZUT/PazFQMLZhTVcpX4WjW34XKEZnKH7v2qGCZhJJ/VSj6JYpCH4claCY1/6krPLoewZlcY79XQLqUxbabmfabbTVI4JyXr7avqo1FTa91srePEAMkJjRWa8NOfKWyfZWrvfn7NIVYcoO+F5k334OiVe7wPc39zRN+BpXn8MlO/3sK+lVdtDcZrNuGEAo1DUrV+8uwdWjQrwlcj8fYKh8+JKJ5fs4wFDhxuzuNyIz0gPSA9ID0gPSA9ID0gPSA9ID0gPSA9ID0gPSA9YMwDEkjWeEYCycbukB+cTv9hf+VKvNKAaO5Hw8gHDhwAtU1grm4gUCd37twoXbq0wSWaP378iPXr1/P/2BdlqQyBtm3bthVJfKlkWkL57t27iooxZRIs5OTkxP5DvYwCAlE6AQcEutKSz7qQBC1znCtXLq4ATNCROpBC8P79+/XOJXPmzKhXrx4KFCigmBMQQJACwbZ0HiIQdESqawRXk/qxoUBqblSWVInVgeqndqg9Eaj/pMhGPiY1NhHSpUvH23F2duZLSlO/aZlrdSClunLlyvGlo0U6QRXUNt0rpG4nAqk10/LP6nMUeWL/Lf4RZUiVmSAl8hfBXHRtSQ2arg+B5wR4W1lZCXO5lx6QHpAekB74l3uA3lH/ZJBAcsLel0Bywj76t1jQ99yvv/6q9w1KMD+BxF26dOEwrzF/PHv2DC1atODfsmPHjkXTpk31TOmZQPAtfcPSdzxBvfQbQASClL28vPihMSBZrS4sgGRR/s2bN3yiH/3OoEDf8VOmTOGriNy+fRuenp5MRbUUn1hH+dQXUl2mVUlsbGwoSQmfPn3i39Nv377laVRWTLq7du0a98fo0aP5ZDyl0NdIu3bt+PcxHU6aNElPaZq+9efOnauA2fRb41uDAJJJHbgTU34kBeFUqeJXKFEvj97XvQTmLqih1YQaNp4wsAJG/1ZJK58OzLGhpa+zFFimlCXA8vdpDuxeYTTi10BgVodufhx0pKQpv1bGsFEakIegv5yFV4DUQ+9EdhVFlP2CuQEIZCDTSqbGqxtGDTuNZZtuoK5DPmzaUl+rTbVtw3o+uBb6BJG3uhq1IVVngpoCjrvpwVukBFis/HquhFfGOhuEgrK6jemT/fHbXA0UZWzpegI+Szpsgu4y8QR2kTpz8N0XSM6upyFlW4KgajTVgFvdWthg8XJtQJv6QoBmEaZYObBvGb6Uvbp/6qXut610ReNmhdTZoOtoXXwNnjOlwGJMwfC6kWXvCZp9+/YzvHc21Cpv7IAUa7PkXcohLUNAcmKuP/mrbq3tOHHtPkiNesXaOnrNE8zuWH0rBw1JefPi0TawsTMfykuKNpYtvob+407yvuXPmg51a+bnip6fGeC6aV0o+w3/EKPGVISFZXoQxNy00z5uG8uUjXPmSqucE/WlSiVPXLn1lE8wCPP30ALZFEMWEYDfvInV0LufvToLjx6+Renymzjsu4KBwh27akBhtdEhptbbuMNePoGAVEwvMrVwocJNdmogma7n0tm10KxlYQ7YUT7BXY3q78KpG5oJFznTp0ZQYAdkyhz/nK9W1QsXwh6ROWqVZZD29oZa4B6B4K1b71NUw+tVyofd+5twe/XG1Lk+ffIeeYqt5ObGgGS1+qcukCzaIYh6wjx/fpgQkNyYnbffhRgc29kMDk6aZ3poCJvo4LgZpfJnwaWAdqJavX29OjsUIE4XSE7MGKEGJo47x5XV+XW85M7+bhP/fqB8GpuN6vso7S6bXlNPcZtg3HZMCfYsA82H9S2L4aMrUFEl7N11G8277Edbl8JYv7meki4irZvvZe+/gujUzU4k8b0aSP7wpJ8eCE1G7Vm7Xmwyy+ShlfTapXwCri0LrVLU6w0ByQTBdmXA5IvXHzB/bk2Dk1ZOHY9F7RY+VCUMAcmJOcekGGvUH3qPjxh7Gpa502PTJldYWccDrJSvGwj6XDj/KvebyCPV/cHsvUyTjnTvAWGjuzcHSCYFfIviq5SiIWySSqEi8X/7VDK+RkiN2q7qJiX54c1uOM7A6TY9/XgaPSMjbnZW8g1FVi+/gV6jjvMs8S4eOvAEFmy8ztM8GhY1+K2grqtzhwPYtP8mT9IFcRO6X169/IgS9htQy9ESaza4qKvlcfommb36Ko+T0vyiZbUUG7pfS5XeiKgnr2FMTVr9nv/RQDIp09s7eSILU7MPvuqBbNnjJxqITic0/smOJofZVNrA3xk04Sw42MPgBIPZMy5jzfogXLvewWC+aJP2iQGSExor1P6oP84ZnDBG7wsru9V88gnB8hePt9FaWWHVshvoPfo47yKNp0m/VsKQ4eX4MW3o26sUm2QRzlb0oBB9g00+yRM/+YQnyo30gPSA9ID0gPSA9ID0gPSA9ID0gPSA9ID0gPSA9IDKAxJI1jhDAsmqm+LvikZFRYGW/9UNPxpG1m3vRx8T+EtgK/0nPwG0WbNm1QKRk6p9AhMI7iW4mNoxpfL8PW0+f/4cDx8+5GAuqb4RqPt3hhcvXnDYmwBtNdiRUB++xT8EVIu6qRydM4FMWbJk0Vp2O6E2Zb70gPSA9ID0wL/DAxJI/vmvswSSf/5r9Hf2kCYlkuIvrTSiG2xtbTlca2zyGUHIfn5+fLIgTcAzpiY+ePBgnDp1ilffoUMHrsws2jIHSCYl5zNnzvAiukAyJY4ZMwY0yZJCv3790KlTJx7X3dBqMEOGDOETIufMmaObzY9Xr14NAqPpd4qPj4+y8gsB2qGhoVxpOX369Hplly5dipUrNTAc+Y0mbeoGgrKFQrtunjnHAkgmJb7Q0E56QJdaQdiQYpsaNp44qKLBJd3NsaG+5si7DHHvP4FAjod3ujNFem3wjWzUcCYBMFHhXZAmLQM/zj+AY4NtZILT+1qiYuXcPC42tOT9iGGnsG6TPuxGNl+YAqQafhblxJ7UgS0ZNNW5uY0WHCTyxb5KpS14w2BKWkbeUGjdYh98jkfyrOtMAbmYjgIyQcuFyq7j+cYAyskTLuDAwTtaKp2irYV/XsUQpjxMwZgCsq3tekQ8fMkBIuE/UZ72pIrZxH0PbjEYRhcuCmTKtBWcNeqUxhSQe3c/glU7QniVJ/e0QOWqedTVg+Ck/MVWY/NyF9RrWFArz9RB4cJruHq0ISA5Mdd/7cog9BhxjDcZdrGDUaVmgtmHTtY8KxztcuHw8ZYJglDiPJKijQimfGtbRaOWTmBueHBHLWVw0Rbt3Vvvx7Yjt2FMJfSPqf4YO1sDvBuDiameEUNPYe7aQNwO6Kilfkx53ToexPq94TD2zCAbCgSRCrXH4d3LYPJ0B00G26qBZEOqu2RIoGIVB7ay0tM3vNyoXmUxcUr85G51/Sd2NUcVphytG0jhuFxNTzDOiwdD96Opc6Vxn7uoaSCZ1Eoru2gmwBgDktesCELPkZp7zRSQTLBhnoIrkIxNyL8X1U15Bi5ZGIiB409BF3zUPd8uHgexcV84T9YFkhMzRkjxvULNLRywWzkzXqVat92rVx6hYh2ND7KlTYmAC+20VJyFvbHnrID86L69FdaZP9NFGdpv23qTK2f37FNKnQw1kPzxaT+tPDoQaqqkyhxxvRNy5EyjZ0MJjlW3Kgr9L6J7Gh1fxvpPdajHqSEgOTHnmBRjjfpGwVTfNRaaLSn0bt0ShpCwZwiJfcEn0Kjz+7UrgTnza6iTjMbNAZLFqgKikqjATnxyhTjW3dMkkYKl1yrJ9B49cSyWr15AiQTOG3v/ikKeG8PQceAhfpg3UxpE3u6KDm5+XAWcEnu0suWTPoS9oX3fnkexYlswzzI27o35fPyYs5i29Ar2b24MZxf9lUPUIC2bW4RnTLVbrAYxa/oljJ55HuWLsBU7zscLdqj7SMBztoLLeVKV4jlx4ky8orfaLini4jk8bwKbvNJfe/KKbv3G/CHs1KrTuisWCJvybBUJd7fiWiCvyNPdq/1obNKRbhk6NtZPUlsvUXYD7Kyz4OjJVoaKQn3Pj+hRlk2si39n0aS6+u67ebmWTIV7swEV7h6dD2Htbo1S9CHvpqhey9JgOzJRekB6QHpAekB6QHpAekB6QHpAekB6QHpAekB6QHqAPCCBZM19IIHkv3k8kEIvLZmsG/6/wci65yePpQekB6QHpAekB6QH/v95QALJP/81lUDyz3+N/okeXrx4EdOmTUNMTIxW8zQxberUqahevbpWOtk1a9aMp1WsWJFDvFoGqoPDhw9j5MiRPCVFihQcTqaVNygkBZBM/d6+fTuvj6BgWt3FUCAFZ/rRP2LECLRqZRhQoHJ0brRKDPWVAsHQBEWTqrG7uztP090EBQXxlVoonVYROXHihFFAW7esuccCSC6RLwuuXG1nsFje/Cvw+M0H5MqQGjEMklMHc2Bjc2yozlyWy7myLkGXsXe02xFt0nLZJZiCHKkDUhDLu9+LfQ0r+7U8LV/mtFizsi6camqDHLcj4mBdWHs1HF7AjM2GNcHo+utRGINkqAoBb+vCl+rqD/reQcP2e3iSIRCTVG8t2PLnL5jCMKlWh1/yQL4CGZQqKL+4zTqMHVFRTy2UjJ4/ew9r2zV48+kLHGxz4dgp/XuyRZM92HP6Dq9z3bw6cGtfTKmfIh7ufkiZ4hejCpE1HL1wNuQR0qVIhsiQLsicJV61lsr/OesKhk/TrGygq+5I+SuWXsesuZeZAmJHkxA42aqDWErdEJCcmOtfpOgaDrumZefx7F4vo5DxwwdvUbDkGgXMO+7THFWrWai7ZjSeFG2QSqql7WrehktFS+zxbWq0PRt2b9x69AqGfESFzp9hy9031jzXdGEpdaXk61zZ0uiBbDSGijMVSwrGgHlRz85tEYpqKQGhT2J7KgrIaiDZ0D0o6pgy8QImztcoC1comgNnzrURWVDDa1dPuMG2hGHlalLj9vSL4OUMQXPGzpUKJBWQvHFtCLoMPcL7YApIPnIwGq5uu9HIsQC272rE7WkjoD+ftQ1Qv5FxiL9n18NY4xPKy+kCyYkZI907HcK6PRo4zhDMrXSQRSqU3YzAO8940qTBlTBybAV1tsm4WomfoP+1612Q3ypexffDhy94wmDAvPm0J+4kBCSTAvrxwPuoW8ESe/2Mjxv1RBFTQLKpk7gT+RJFmAI+BUNA8reeY1KNNVN9TiiPAPnjR2LQre8RPHr9XjE/sLUJajrnU46NRdRwZuiFDgbfv+r7kupJSBU2OuolCpeLn5wVebUTTp28C48BGsDYzjIzAgLbG+sST9+0LgSdh2jGo1DyV6v/925rh3mLapqso1e3w1i9UzPWDL3njBUW7+j3X/7CzDEOSM7etbqBbMb/eVFJFqshUHqxUuv598HvQyphxBjjYywn+56i74gfCSQL4Ldd/SIGlZ6VEzAzcvRQNOq11QC7zWoWxNZtDbRKXjh3H85Nd+LWtU5a6v9aRqoD0T9K+hYgWVWFVnTcqLOYsfwK6lfJj3quVlp54sBraxhOBz3kh02crLRWgVD3xxjELiafUAVLp9VAlx4lRNVyLz0gPSA9ID0gPSA9ID0gPSA9ID0gPSA9ID0gPSA9oOcBCSRrXCKBZL1b48clREdHw99f85826lYkjKz2hoxLD0gPSA9ID0gPSA/8r3hAAsk//5WSQPLPf43+qR7Saiak9Ltx40a2HPFfSjcIHp4+fTpq1KihpB09ehTDhw/nx82bN8fo0aOVPN0I1VurVi28f6+BZLy8vGBtbc3NkgJIVtexbt062NnZ6XYBz549Q926dXn6/PnzUbVqvBKanrFOwvLly0H/CEi2tzetKieKkm8MKSmL/MTszQGSS5XYgND7cSCoMO5hb61mzIGNzbGhSs0BksmufVtfZSn5bStd0bhZIUpG88a7sfdMNI8TzNvbzQ4jx1Q0C1zhhUxsWjXbixP+9xBzqytb6UVfuZmKzp8TgF+nnDGo0CyqpiW57ezWc2iUwOmwsE5InjweSCJorRNTbhSKrrqq07t23EKPAUcQyVREhWKiqFvse3Y5hDW7NBBh4Ek32NjFg5oEc9lW3Mjg2r94G87l8mL/Qc0kACpP8G1hBnYf3N7UoOIs2Qg4m+ILfneCWrWUzq8cUzAMufuC158pdQpEhXVBuvQaEJ/KVKrgieZNC5uEqchON5gCksn2W66/GjQ1B2BrWM8HB/1jeZcWTamO7r1K6nZP7zip2lDXowuq6jZKvr8e/ZwnGwL7YqNfwbrMOp4/e6wD+g8uo1sFAi4/QqW6Xpg2vAqGjiinlU/3X6vuGuX7hKC99++/wMJ6BV5/+MzruHbancH0WXlcDSSvn18HbdtpQ/Gi0Zthz2FXdRM/pHvp8d2eIstsIFmtqq6rMGzqXKkhte9rlM6Dg0daKO2LiDkKyeYCyaOHn8asVVcxZ5wj+g3STIIRkxTefvyM+xHdkCFjStG03t4UkEzG3zJGyL5ieU9cjXxK0QRB0RlT/DFujkZ9u61LYazfbFiNnlems3kZ9xGly25E7Iu3PIdUlkcPqYAeTBHZ2POWDE0Bye/efkaW/Ev5c6grU7ZfsqK2Tqvxh2q4PS6ml55Cc7yl8VhCQPK3nmNSjTXjPTY/hybbtGq5VwHOOzctjmWrnBOswBwgmdRoM+VZgo8M0KVgDFwWjQXfeIrS1T3FIV7G9sJl/4eo2WwnTyuQLR1uhndW8g1Fli66hgG/neRZYuLOtN8vKhCwOfBquza+8D58i9dhaHKRoXYp7fSJu6jVfCefNNLSRfPtYsxWpPfoXQrlKzJ1fpXC7tq5znD3KC5M9Pbie6qqTU4cP530CskEqztV80amDCmxZ38TpE6TXK8P35rAFs1DGfuNCGbfD8nZN1wEU+i3sIyfhECrL9AKFOY+W9QAsDnXNKH+utbdiSOX78KpZG5YF0x4clvuPOkwaWr87wJ1f4wByepVFeZPckKvvtqq8An1UeZLD0gPSA9ID0gPSA9ID0gPSA9ID0gPSA9ID0gP/Ls8IIFkzfWWQPLfdN+T8hYpkekGCSPrekQeSw9ID0gPSA9ID0gP/K94QALJP/+VkkDyz3+N/ukektrvqFGjcO/ePaUrWbNmhY+PD1f/pUQB6VK8R48e/B/FjYXWrVvj9u3bPHvGjBmoXVsDHKlh4sWLF4PUlnUDqROTSjEFb29vFCyorTqprsMYkEyTQHv31gC669evh62trW4zRo8Jtj548CAqVKiAJUuWGLX70RlJCSQbU8VUA8nGbOg8BUBjSiGZ7MaMOIOZKwMoinkT2TLh/ex5nJQWGzXapQCZlJgxVQqM6F8Og34tq6izcuNv2Lx+9RGWRVahWR1rkyqAzjW2IeruKw5D/ec/xhsQS66TxY7V9dGwiQakp2OCdR2q5IHvoTscWi6cKyOCgjyYMjblAo1cfVC0aBbMnqetLq7J1WxJRbBaQ40K7uBO9pgxu5qSPWzwSZw8fRf2JbLzZcFpOfjQix6wstaokf4x1R/e227C/4q7UkY3QqCfdbHVePr2I8oVzo5zF9oqJgTRefQ+iNEDyitw4urZtdG+kw23IYVeZwaORVztiNwW6ZRy5kQSApK/5fqfYYqaAmDThbIN9WXowBNYsPE6zxrQoSRm/Wnc/6J8UrWhhmITApL79DiCldtDeBf+HF8NfQZoxobokxrmE6qbIk/sJ447hymLLyPobDsUKZZFJPO9GtrTheW1DL8eqFVzvZbXQ9MWhXmOuUAyGWe3WIaXHz7xcndDuiJHzjQ8roZITSkk++6LQhOPvbxMy9rW2OxVn8dpY+pcKV/t+x8BJF+7+hhB1zXAL7U3bYY/n/wxfkAFNsFGA7zFxLzC2NkXYJU9PSaOrUxmPFRnCvBqWI8SEwKSv2WMfPr0F7JaLsUHpspOEzzePuqrPIc0PdDeqhWx7a2ywv+y8WeIdknN0anjsWjRfj9XdRX51jkyYMZURzRpbhjcFEAyPcfeP+knivH99cAnKFdrC4+P68eeRxPjfadlyA7U9xIBromBKxMCkqnNbznHpBpruuea2OPAgMeo4LyVF9d97hur0xwgmcqKZzvFxaoHFDcU1O83MUlB7fvsaVPhXkx3Q0WVNPU7uGl1K3jtaAj1pIEW7DnhqXpOKAVVkSYNdsH3fAxPMTa5Q2WuRFctu4Heo4/zCV6kzJ8smYmPBaWUJrJ4fiAGTTzFDw56NUGN2sZVqsX3lACuRVU0ceDMmfjvcJEu9lXY98eocfrfzCJf7Ht0PsS+Ex7iyNGWyJottUj+7r36HNXvmFcvP6JA8dXYubEhqteyNKsdNQCcFECydaHVfNJEQurUxjqn7o8Eko15SaZLD0gPSA9ID0gPSA9ID0gPSA9ID0gPSA9ID0gPfIsHJJCs8ZYEkr/lrkmkLd1sFy5c0CstYWQ9l8gE6QHpAekB6QHpAemB/yEPSCD5579YEkj++a/Rz9DDuLg4dOnSBXfu3FG6Q5ByixYa1UlSTN62bRvPa9WqFUaMGKHYGYoMGDAA4vlA6sEEKFNQw8Q/EkgmVWZqi8LUqVMVtWSekMDGw8MDwcHByJEjB3x9NYqjCRT5IdlJCSQbgzTUQLIxGzo5AdAkBCT/OesKhk87y/2hhhwpgZY0HzroJDbuC+f5YkMA1fbtDfUAPpFvar9t60249zmALUvroXkrDVCpa//g3htYlVqDPu4lMGd+Dd1srWOhQkygnxowPbA/Ci067UeIfwds9QzD6JnneblD3k05gBMR/gIlqm7E5WNusCuZTatO3QMCmwNuP0WOdKlwK7wLUqdOhqdP3qNwybVYNqcWClhlUKDl3/pXwNgJlUBKlaTePKh/mQRV+YYzsPnP9dd4s+f8WqFchVw8XsPRC6VK5cCMWdUUaFkNcnbreBDvmHLupq2uul1O8FhAa+lTJQeBXIaCudd/h3cE2vby41XYF2DwpAkAm4zmzryCEdM191zrOoWwcUvC/U+qNtRQrPp+MXT+oSHPUM3ZG3HvP4Fg9nNn2yBT5lSKqQCB+7iVwJ8Layjp6kjZ0ptAgOelgHbqZB4fMuA4Fm66weP925c0CcaTkVqRV62mLfpBNqYUkimf+nMj5jlXzHzOYFGhmKuGSE0ByaSeWqWeN1UFXZjc1LmSvdr36vuY8kT4HoVkmiCw1y+SV0UAcPTzN0jFFNMts8bD+k9evufXk56LGdLGK40fPdwSefLG21ElCQHJZGPuGHn86B3y2qyiIjzcC+2K7DnSiEO9/aWLD1HVVePnXBlSIyaqm55NQgkEzPfueQTnQh9pmbZvUBRLV9ZGypTJtNIFkEzA9LvHfbXyxHObEvu1M/1cVt9LPxJIpr6Ye45JNdaozaQK1R28+LXJz+7PiJudE6zWXCC5bu3tOH71Pq/vxK7mRtX5yeDIwWi4uu3mtrWZwr8vU/insZPRYgm+MIV+Gj9x93vjF3qIGQkTxp7D1CWXea6AXk8cjUWdVj48rW4FSzYumxoprUmuXX0bTt14wA+O7mgGx+p5TdqLzLEjz+CPFZoJVSHn26NQkcwiK8H9oH7HsdhT8/w19T1CFYnvKV0guYObH7YejDDaVivnQgm+n+kbbNHyQHYtWiC/lWYyk9EKvzEj7sUHFLRdw5X1aRJGSHBHDm0TyD1/YQCuXutgcmKEujk1APy9QPJbpsycOf8yXr1Hw6JYua6uuimz4ur+SCDZLJdJI+kB6QHpAekB6QHpAekB6QHpAekB6QHpAekB6YEEPCCBZI2DJJCcwI2SFNn79u1TliwW9UkYWXhC7qUHpAekB6QHpAekB/5XPSCAw3+q/5kyZWIATCr+L2XKlEiePDn7z9Fkyv4/TLryl19+4d2jPR1T0N3zxK8bkadO+1+OSyD5f/nqfX/fN2/ejNy5c6NWrVoJVnbt2jUOJQtDgogJJqawZcsWzJo1i8erVauGuXPn8rixzdixY+Hnp4EKFy1aBPrtQ+HvApJJ4ZiUjil0794dPXv25HFzNoMGDcLp06e56cmTJxWVaHPKJqVNUgLJk4dWwvDRFfS6pwaSjdlQIQHQJAQkjx5+GrNWXeXtBJ50g42dPpx77HAMhg07iWvRz5X+FMudEWfPtUWGjCmVNHMiHu5+2HM0ErER3ZAufTwQqC67Yul19B1zAgmpFooyAgoikC78kgfyFcgAgresCmTEslXOIGi5UKm1fBl7Ab/QeV+8+ACHj7cU1RjdL19yHf3GnuD56+bVgVv7Ypgy8QJTfQxDIAN6SJWxYnlPXI18ioIE/YR0xEEGRLv3OIDI4M5aEKuhRkKDn6FUtc08q3tLWyxaVgsE27i03oWgc+1hXTgTCLac9xVaDmZpmbOk4kD0jg0NUKtOfkPVmkwzB0gWFSR0/UmVtkwNT24uVDZFWUN79TLqY/uWx2+TjKutivJJ1YYaik0ISKa2b4Y9R/v2fhxIr2GfB/MX1URhBr2dOn4XHbsdgEuNApi/uCbSpE0uuqrsCWgu5bgZxhRllywMxMDxGoVOoSyqFDYQIQB9/V7N5IADW5ugprNG0fNbgGSHKlvhH/4YJfNnwWUVJK2GSE0ByX57I9G44z7eOzUUndC5UgG1738EkKx2mfeWcLTrexDurkWwdqOLkiWgziPbm6JaDdPKoOYAyaLihMYI2eXNvwKP33zgRS4eao3SZXOK4nr7WzdfwKbyRp5evVQeHDqmmWikZ5hAwl8MKl3J4MNJ0y/g0ev3irWhiQACSE7OnqNvdYBkz41h6DjwEC/fuFoBbPNppNSlG1HfSy/v9uYTOHRtEjpWq/Qm1J4555hUYy2hfn9Lfs8uh7BmVxiaOFnBe2fDBIuKe5cMQy904O8FQ4V6dz+CVTtCeJZaUd+QrZdnONr3O8izBExMB7a26xHx8CVPv8neqQUKGgdlB/Q5hqVbg7jtsZ3N4OCUFzF3XqFQ2XU8jZS5Q0M78rixTelSGxF89wXSpUiGB3d6KBMljNmL9PlzAvDrFM3qHLvWN4RrAyuRleC+b8+jWLEtmNvNHF0VA4eWNVpGfE852uXC0ZOtFDsCr6MiNX5SElURmqxkSnmZlNAH/nocB32bo7hNVlXJpIuqr8/udQ1Qr2FBVKvqhRbNC/PVLsxtSQ0Afy+QTG3myLuMTw6pVCwnTp1tbW43FDt1fySQrLhFRqQHpAekB6QHpAekB6QHpAekB6QHpAekB6QHpAe+wwMSSNY4TwLJ33ETmVt0+3bNsqzCXsLIwhNyLz0gPSA9ID0gPSA98L/sAQkk//xXTwLJP/81+pE93LFjB+jfxo0aGCmhtlxcXPD0qWaZ+saNG+O3337jRfz9/dG7d28et7CwwO7du01W1bdvX2WFGFIZJrVhCn8XkBweHg53d3feZs6cOeHj48MUHE3DrjExMciXLx/mzJkDArkpjBw5Ei1bmoZMP3/+zM/VwcGBl0mqTVICyVN+rYxho8rrdU0NJBuzoUICoEkISCZAeMuBCK6E+CS6JweBaDlvUklULx3+mSkQ0/LfI5ma8mcGuVEwBlryTAOb90zN19J6JWpVsYTX9gYGLDRJjVx9EBD8BFG3urDJKpoJKkaNWYZajZH65OJqBaeG23D1lLsC+QhomYCnkAAPlK/siZmTHeHWobipqnke+aNg8TV4+eETCEr12dMYRW3XYcLoyujWswS3UUPLvp6NsXhRIHLlSovFy2snWD8ZCFVLUiyOCukCj3Z+yJQpJdZtqsfLhwQ9hb2TBvod3bscMjOl3tVrgxB43XyFQ3VHTAHJ33r9P3z4gmz5lnHgm9q4daUjh8LV7anjs6ZfUhSrNy6si9ZuRdXZBuNJ1YYaijUHSKbOkGJ3xaqeKFIgM569eA+L3OlRqFAmNGlaCLXrGofB/5jqj7GzL8D/cBvYl9E8T9UnpwaqijLA/0aQhzpbL96kwS74no/h6dHXOyO3RToe/xYgOZ/VSjx89R5t6hbGBk/NvUWVqCFSU0CymCxAZdRQb0LnSvZq3/9oILlPjyNYuT0EK2fWgkcXW2oedF/nKbwSKdkz5UFUdz2FYG6k2pgCkr91jFC1aqB07VxnuHsYf/ZcOHdfUV3v1caOQ++qrpmM3ot9jRzs2ZMiRfyz88XzDxgx9CQHYEVh3QkfAkhOmewXvH7UR5jxfcDlR6hU14vHLTOnRVhoJ6361cbqe+nVvd5mw6XqOhICkr/1HJNqrKn7+L3xHp0PYe3uMEwaXAkjx1ZIsDr1/WMKSD5/9j6cGmn+nj2iR1n8Pq2q0brHjDiDmSs1CsMnd7dAZYc83HbmtEsYM+s8j+/d2Ah1XQsYrYPg1gthj0DvrvuR3ZXr3bj+LvhdiOEK8U+jehqdgERjKYf1ctBnhUtFS+zxNa2mrO7I/j2RaNppH08yBqWq7SlOZVwZlLtgbjzMnJCSsfieqlYiN46cMP19qdueseNzp++xZ4Avtns1QtnyxicnGCtvbvqNa09QtuYWbk7w+7jxlVDNZRtu3ehkUqVdt371GEoKIFlMjqGJZAEn3FDc1jSQfTfmNZ48eae8S9X9MXbt1ZOf5k9ySnC1Ct1zlsfSA9ID0gPSA9ID0gPSA9ID0gPSA9ID0gPSA9ID/y4PSCBZc70lkPw33PchbMnf25GRyJAhA6ytrWFpaVo95W/okmxCekB6QHpAekB6QHpAeuC7PSCB5O924Q+vQALJP9zFP3UDAiQmENgcleR27dohLCyMn9OIESPQqlUrHo+Li4Orqys+fvzIj1etWgV7e3uj507qyrdv3+a/ewgGFkENJM+ePRvVq1cXWcp+4MCBOHNGo1Ln7e2NggULKnkUUdexbt062NnZaeXTwYcPH0BKzn/99RfPGzp0KNzc3PTsRMLWrVvx5csXDjHT6jbjx4/nWdmyZeMwc5o0aYSp3n7SpEkoVqwY2rRpo5f3PQlJCSSr1QrVfVIDycZsyF4ANKaA5P8yAIggtND7cejrXgJzF9TgTREoc5wp9I4aV5EfqzeH/O6gmcc+Dp8SnHvwqPnKnQIeWjOnNtp1tFFXq8QJWsxvsxrtGxfF0pXOSrqpCJ1HGXuNwmL+LOlQukR2JGcw3hbveOj5+JEY1GWKwxSo38G3niMirLPZ6p39ex/FMi+NmmKPVrbwPRSFoKCOSvmXcR9hxfr9+sNnOJXMjdNs+fkzvq1QrkIuU11X8tTXlepfyZQb/Y+0RUn77IpN3VrbcTzwPvJnTYfUKZOhW+cS36RwqFTEIqaA5MRc/xqOXjgb8og3YQqUJ4NfB53A/A3XQeBj0IX2JtU3eYVfN0nRhhqKNQdIfnD/Ddq19cWcP6srIJS6T6biBFw9j/uA4GDDoDH1pZDdGrz59IVXc3IPAwKraoBAQ/VWKLcZgVHPUDxPJly70UExMRdIfvL4HSyKr+LlhFKmqEQNkZoCkgXoa18gKy5ccmMrWmhWsUjoXKkdte/LF8mOs+fbiuaV/ZVLj1DZRQO+GoPMNq4NQZehR3gZY8qmRYutRdST17gd0BGW+TNw2727bqN5l/0w57pTAVNAcmLGyLhRZzFj+RXel3qV8mH3/iY8bmjjsz0CrXtoVixYP78O2rYrZsjMYNqMKf5wcLSAY/W8evm/jz+P3xde4um6E0oEkEyA4NtHfdnKJPHF37z+hBwFlyuTUbYsrYfmrQrHG6hi6nvpRwHJ33qOSTXWVKf53VEaM0GRz3D+aJsEYUxqzFwgmWxrV9+GU+wdlNA7WtRpb5UVFy+5K9f8+bP3KFJiHZ+Eo3ufUP0i0ESR7PmX4QObsNS/fUnMnhf/fXjkYDRc3TQT4XThd1Ge9mqwdOuyemjW0vB9pS4j4tFRL1G0/HoOM3c3px0AAEAASURBVNOj6PxB08rjnhtCsW9fJDZuccXhA9Go767pH72LIq52VCZ5iPrFXnxPJRWQTIr/TZrvxoY1LqjCxqqpsGRBILr1Kml0AoCpsiJPfDvQ2G7EFM7Tpk2hpRwv7Ezt1dcpKYBk8S6hNpvWKGhyktrrVx9Rh616sXJlHdiV1Kzioe6PsXeFBJJNXVGZJz0gPSA9ID0gPSA9ID0gPSA9ID0gPSA9ID0gPaDrAQkkazwigWTdO0MeSw9ID0gPSA9ID0gPSA9ID5jlAQkkm+Wmf9RIAsn/qPv/8cbv37+PRo0aIUuWLNiyZQsIsDUWCN4liJdg3v8weohUgosUKaKYr169GosXL+bHTZo0wbhx45Q8deThw4e8TapPFzpW19GnTx906dJFXRRv375Fx44dEckmc1JYs2YNSpYsqWVjDpBMBdR2yZMn52rP9evX16qLDo4dO4aFCxdy/6RIkYKp+X5C06ZNQedBoW7durxs6tSp+bF6s3btWhDMTNB1qlSplCw699OnTyN37twoWjRhxVal4NcIQbFpcizkYIxt3sy4eq29rgk/LmG3HuEPXnIYU1eFUg3w9G5rh3mLaurVYY4NFRIAjSkg2W9vJBp33MeXSQ++7IE8eTWKqwTbDRt+CqfPGga2G7j44NClWINLzRO45rsvCo7VLPTgHgL8Nu0JRzRTAFarL6tPUsCGO9c0QIPGBdVZJuOkdjh0sgaKJ8OzDAYuXzEeBqbrU7rUBoTci+P1DO1SGtNmOpqsU5159cojVKyjASUpfcbIqhg8rKzaBP16HcVybw20XKFoDpw5Z9h/WoW+HhDYVbjYGq5eS0kNHfJjx+7GWqZbNoXBY8AhnpYmebIEFQ4Jwgu+8RRV2bUQ4KioUACbpBj9/IFGSV3kJeb6nz9zHzWabOf3v41FJq7cLOrT3RM8HhT7AkM622P6rGq62fw4IvwFe659UeAjSkyKNtRQbEJgatyLD3BmEHjrVkUNqpUb7PjXRKHwauocyVStFk0g+sKltQxWS+qQhcuuwxcmI6o7NswFkkVbzWoWxNZt8bA+NaiGSI0ByQQ0Fym5lgPU21a6onGzQryv5p7rX6zv2SyW8vJ03z252wvJkqmoV1bb+tXB6DbsKK+3QdX82MnUyHWD2sbQOAwLfY6SDptgZ5kZAYHxz+HB/Y9j0eYbmPubI/oOLK1brd6xULClDN3nSWLGCKkUlym3EXfj3oHAwJvsmStgad3GB/Q5hqVbg1CpWE6cON1Kb/zS/XCeqSi7NrBC2nQptIoTrBvHQPipf+g/396/+wyLQiv5xIlZYxwwYEgZpayAWCkh+gZT4M6jeR8Ig0H9jmOx5w1+WLFYDhw63AJp0iYX2XxPz9kqlTxx5ZZm1Qa1krfakBSXnz55j1p18umdG9lF3opDsYobeBFDz8LEnKO4/6nSxI41Kvvly39xyDcKefNl0JowQnnmhsv+D1Glnjf+HF8NfQYYnyimrk/Aw5RmSiGZ8nftuIVW3X25OvHNy4YV6+n5mrfgSg4db1hQB23ctaH3YYNPYt76ayjG1NuvG1Fvp2eyU+Pt/Hsm+GJ75LfKSM0roVIFTwTcfopuLWyMrhYg1NVL5MuCS1fcDd4Ppu6XTu0PYLPvTd5mGets8GYTkXT7QZlnTt5FwzZ7cMK3BUqVzsGvY+WKnnySB+WrJ2XRsQgPH7xFYfu1HLo29W0n7BPaR91+ifoNfbBofk3UdM5n0pxWf1i3Nhir19fVsjM1/rUMvx54bwlHu74HlazD25rCqaalcmxORA0AmwskmxorocHPUKa6J3+nUftzxjmi3yD95zLV0abFXq5ov9mrvtJVdX+MAclrVgSh58hjvIxUSFZcJyPSA9ID0gPSA9ID0gPSA9ID0gPSA9ID0gPSA9IDRjwggWSNYySQbOQGkcnSA9ID0gPSA9ID0gPSA9IDpj0ggWTT/vkZciWQ/DNchX+uDwTGOjo6cmXjXLlyYebMmbC1tTXYofXr12P+/Pk8z8PDAwMGDNCy+/z5M1cQJuVjAneXLFmC0qX1/8N/5cqVWLp0KapWrarUJyoi+HfYsGH8ME+ePCCl5Zw5c4Lu06tXr2LBggVcqTgoKIjb9O7dG127dhXF+Z4UiXfv1ijRUX+pHUPhzZs3aNGiBVuW+QnPJsiaVJ7Lly+PwoUL4969ezh06BBOnDjBlNJWokSJEko127dvx7Rp05TjQoUKoVu3bhyOzpgxIwemCUQ+cuQIP1ddaJoUlklpmcLEiRPRoIE2sKdUbCRCCrnZ2bLjFPJmSoPI29o+EMUsC6zEo9fv+eGL6J5aMBmBKkUrrOd55Qpn50AwAXuPHr7F6ZP3uCKlOTZUgQCSKb5xYV20dtOGrElxrp7LTlwMe4zxAypgDFvGWwSC7ao32YH9mxvD2SW/SFb29evuxOHLd/HHqKpaCr0EHJZiissCuL5+rh0KFsrEy31mCooFrFehjG0O7PVrqtSlG2ndfC+Onr+L2NvdFPVhXRtDxwSaWjO12bdMbbZOeUvsO6DfxrzZVzBs6llePOhsOxQplsVQVUbTqjt44VzoI2RLmxLhQZ2QIWNKLVu1uuuy6TXRubudVn5CB2NHnsEfKwK42XGf5hwkVpd5/14DLdP9075BUT1ISW1LILKDsxeHP+tXyQ+fvdpgZ468yxD3/hMvoqtimtjrLyBKqtSYcq2o2zJzWly90h4ZM2n7kMqqIaJpw6tg6IhylMzD97ZBIFfB0mt5XQ62uXDsVCtNxQa2BD2Om3OBq4x2614S+QtkQJasqZEmdTKkSp2cqUwm17sHRDUCkD+xq7lJBcxPn/5C1cpbOBRHkPmBHU1R2UFfJVn0xRCcqQaSF0+tgW4945+Loj/3Yl/DqYY3XrJrfvmMG/Kxc1EHNZDcq40d5i/WnwwhfF+rrAX8DjVXipt7rlSAAEABq6qVtAl2Xr8mmEGu0TjCni0UMqVOgZiIrkidRht6Fe2Rzeje5TBhchWKKmHJwkAMHH8KAzqUxCymbC2CmAwSeNINNnbGJ/oIe3oW+ZyI4oe+no1Ru278s1Dcx9/6jPTyDEf7fhowsGl1K2xhYLjuZIG3bz6hIJucEPf+I07ubYmKlXOLLvH9rZsvULLqJq5WTPA/QdfqOuhembMkANcvt0fOXGm1ytKEEatiq/nY14Wse3Y5hDW7wri91/J6aNpCo1S7eX0oGjW1xjsGM5dgQPWLdx+5jUtFS3jvaKhcH4KRVy+/gd6jjyttLmH3Y4fONuz7I5mivismnZCRMVBVPQHEkCptYs4xKcYa9VmtnL3uT2e4dShOyTwQ8N3ezRdv3n6Gh4ctg3yLal0bMqJvhWaNdyMre5Z4Mf+plag1tRjeCriXcq+ddkdxm6yGDVkqvYubNdoN3/Mx6NrcBktW1NaznfTbeUxedIm/L0mtW3dyAD0zatfZjluPXmHtXGe4e8SfJ1VG19vFman2X72v9w0hGjt2OAbN2+/lhxdPtNV759K3TdmKm/k9tXtTQwaox48xUUdC90toCANbneLB1hzpUmH8qMqo5mSBgtaZEH3nFby3huPP5VcxcURlLQCcVnxo0G6PaApj+5bHb5MqK8cEbQ9gqyOIcUETCfyPtIFtiWx8EqC5105UeP/uG9Spux3pmEJx1cr6z3lhR2PtTvQrnAi4h33s2aMGlxMa/6IO9f7jxy/sflmH2BdvQVA1PTO+te+7d95Cy26+vNq2LoWxfnM9dRMG46bGChVQw+R03KK2Nfv9UIJPJqPxSs+BP2ZcwsPHb3H8RCutiWz7dkeiWWfNN3sTJyt472xIVWiFuTOvYMR0zTefqRVFtArJA+kB6QHpAekB6QHpAekB6QHpAekB6QHpAekB6YF/rQckkKy59BJI/tcOAXni0gPSA9ID0gPSA9ID0gPf5wEJJH+f//6O0hJI/ju8/HO30bJlS0RFRfFOpkyZEj169OAQL0G2yZIl46rEBCOT2i9Bxw4ODpgzZw7P0z2z6OhojBw5EuHh4Vx1ed26dbCwsFDMLl68iEGDBnFQecqUKdxGyWSRjx8/olOnTrw8pZOqMAHSd+/exYsXLzB9+nQEBwdzQJjyCSKuUKECbzN//vy8f25uboqCsimlZipPkPOoUaPw+PFjOtQLBBf//vvv/JzVmQRyk8Lytm3b1MlacVJMnjBhApydnbXS6cDFxQVPn2pUHevUqaMFN+sZG0hQgy20dHjQufYoVCSzlmU4U+4swZQ7RfDb0lgLwCElOOvCq3H/5TtuUrtcXtjZZsW160+wdJkzy8vEVf0SsqHCAkgmgCYzA/tWLHRmcFF+rmhJ/ejZ/TDOBD/UA3CorIDtMqdJid1bG2kBkjeuPUHZmlvgaJcLfoebc9U6KkPhZthz2DFQTgQ1HElgkkubXVg4uTp69NZW0Bb2BElbFlmFRkzBdYNnwrCLKCf23Tsdwro9YTiwtYkWwCPySZGToGXH0nkMAsvCzthegJ+60JLa3rHqVoRHxyEytDPSpU+hzkowTqCRXZWNqFYyDw4da2HQfvTw05i16ioMAcvqAtMn++O3uReUpIc3u3GYlhJImbBUtc1K3rGdzeDglFc5Tuz1p+vXr/cxrlZJ99321fVRv1G8yjUBbs51d3DVzk0bXWFfJofSpjoiFLgprWyhbDh/0U3J/t42tm4OQ4f+GpVpUum9zMA+GleGglAINZQn0nJnSA3bIlkxaGAZ1GsYf651ajKQj90HETc76wGJoqzYkxq0h4cfLt18gjwZ0+Dk0VYoUDBeaZRUMpu474ETA4FXr6uL7DnSiKJ8HxL0FFVqe3EY3zpHBsybU53Bx5Z8rBPUdenCA3Tudgg5sqbBWlZe97lElaiBZAKjxw+tiA6dbJEjZxo+IWLyxAtcsZfg9k1bXLXu7W85121bb8K9zwGl/6S+mid3Opy+9gC1y+eFJ1PAzGqlmdhBRvkYuN63pz2GDI+H0j3c/bDlQASvw5k9I/cfbKbURxEBEvusbaDcfzS2bCpvRP4s6RAR0VnL3tAB+c3Gdh2in73h2bowW2LHCFVGSr0T5lzExy9/YXj3Mpg83UHpArXr1mofjl68i8Uza6JtO23VWjIk6LfXqONKmetn2qFY8fjJFQJety+QFXv3N0Wu3PFQsoC1DSl3izyqmJT1WzcpjGgGRZYunRNjJ2gmrNB7zqP7ATx9q4GSs6dNBccKeWDNwM+9vpHIkik1UqX8BSevP1D6V7pgNsyZ7QTH6ppnTOcOB7Bp/02eb2zyzoql19F3zAluQ++h2yGdkD5D/OSFxJ7j94416lChQqsRw8BOCrrKrOL9yDPZhq7BiBEV2Ls3H16/+oSrAY/x59wraNW6KLr3KqkHAYtyuvvoqJcoVXkTH+OUt2pWLQZ6G56oJsoShNrF4yC8Dt3C7LEOTH22DIdQCSQ+eigaTRgobJMvMw4faYFMmVOJYlp7emY3brQL9568xea19VCjtkbRl0Dd+XMCMGbWeXRqXAzLVtcxCriePnEXzdvtg7VFBraqRQNYWWuebTSJqE+vI9hxNBLLZ9REp26GJ/CYc78QNN+TKat/YBOfjIVh3cpgyoz4sSbsZk67hHGzz3N1f0qjZ6hTFQs26SQZtu+9haau1vDaG8GVpCmf3m30bbZyTR09FXHKNxZo0oULe/9dj35uzEQvvSipU9/w0PJtQuNfr5KvCZMnXMCkBf7QVUY3Zq+bPrDvMSzZEsSTaSLExUvu7PdAMl0zrWNTY4UM6ZusLXvenbh2X6uc+qBg9vTYvauJ1jOO8ieOO4cpiy9z04ypNJNX1IrtBOU3b7wH+89Fc5vqpYx/V3EDuZEekB6QHpAekB6QHpAekB6QHpAekB6QHpAekB7413tAAsmaW0ACyf/6oSAdID0gPSA9ID0gPSA9ID2QOA9IIDlxfvs7S0kg+e/09s/Z1uDBgznYS+rA58+fB41bAnQJqM2aNSsePHjAFPD+AikoE0xMAK2p8OnTJyxcuBCenp4MjvsFZcqU4f8IUr506RIIGO7evTvPM1QPKRMTBOzv769kE5Q8ZMgQDjKTujIpINerVw+1atWCnZ0dh6YJVr5y5QoePnyolKMIlS1evDjoPNOk0YbrKD8uLg4zZszgSsgfPnygJK7wTP0eO3asFlDNM1WbzZs3czj65cuXqlRwSHrMmDGwtDS8TPWyZcuwYsUKpEuXjoPNlSrFKwZrVaRz8OD+G0xgYITX/gi8/vBZyc3FQEUCWabOcORqhWOY+q2P721FHZkMCbRya1IEM+c6KWCvUBR8w5R+KTiVzM0AwPpaUJk5NgJIJrBs9/bG6N37CEKjXyAH61f08zcolT8LeveyR1cDaqoE2w0ZehIpk/+C65HPUNEuJyqUz43AwMc4zdQQezPl0eGjyhuEmFyZejIpnBLUc+pkaw400nkM7n8cSzxvIDKwM/LkTUdJemG710249Waw2qK6aNW2qF5+Qgm0fPywYadw6mxro6YEaDVg4GiL1kWM2hjLIOXSkqU24Pw5N+W8dG1J3ffatceYu6CGbpZZx41cfdCnX2m4NrAyaE/QtztT4PRnS9ubCtcDn6BqXS8OaAnFaN99UdjhfRN7j0QqQCHVQUq0zV2s0bGzHVdl/p7rT/VtWheCX8ee4m2Q0ne9ugXYM+stDh69g4rlcmPp8toG7x0qS0ENI04aXAkjx1bQZKi239oGgcgbN4Tg8KW7yhLxVB2NwQY1C6Bxk0Jo1lKjCCuaIWBu8IDj8PTTwK8i3di+r3sJft3pmWBVcg16MqXheYtqGjPXSid4cMLYc/hzTSAH3qqXsWCTLiz4ZITj52LRv7s980NFo3AzAYvz5gbg3IX7fMx+ZjBW4ZwZcPf5WxTMlQFNGhXCqHEV2XP0F612xYEaSKaJEitX3GCg4G1YZc+AqCevYJk5HZqzOqb84ahVR2LOlcDXCdMv4PlXpd30qZKjb8dSXKU9JYNZ0+dajHpV8jG1/CJwZWM1a7bUeMcUZyf+dg4XLz7A6SDt90lVm5xwcrLEpKlVQUCvhdUKvGPPz/sR3RQF62WLr6H/uJPo3LQ4lq3Sn5Ai/EBqq9S/I8djuNK7SCcIsVG1AmjUyJqDoN87Ri77P2RKoIcQfPcFCLhr4GLF4L7kOHj4DoNUf8H69S4oziajGAqPH71jqsmbcTfuHQwpZhOse+oUU5m/9xqPnr+DY0ULFGdq8FT3o6fvMHp4RQao2+nBsDQhpkWTeICPngtTxlbVm0BCz6A+vY7iHLsOBFVToHOoX9cKk6c5oEung7gc+AjtWhdDW/diemrUhw9Eo1XHffjAyk4cUgnD2LtEhEXz2GSL47HYd/oOV4AW6YXYvexapwB+HV4eFpbpkdhzpPq+d6xNnXQBE+b5Iwt7dmxZ66o3+YXG8bxVgXjzMf57gFT1ixXIzFZ7yMXenRX0lKvFeeruaQJKFBvbh87EKIr2ZEOTKVyq5UeRwlng3l7fx6IeuqbTfr+IXbtv4TPzt51NNlwMeIhnrz5gaO8yGDikjNYqDaKcek/Q6OgRp3HsdCzy5kzHv0WOnruLrOlTsW+fykwFupgWMKsuK+KkdDuZ+S3g+mPYsAkcpM577PI9VGETm6awe0ZXBVyUo72p+0Vtd4rdN737HtUat5RfPE8mLJhfE9VrGf72Ixu/vZEYMeo0Qu7F0SGfNFPaOhvc2xbHAOYj+p6yzpsRHdrZ8G8HNeTPC5ixcaiyFf7hj82wjDfRXSGAchIa//GltWMEl5dmz42Qqx7Ilj21dqaRI5oM4+0VjssBj3A54omWVYl8WVC9Wl4ULcq+Jfvba+WJg4TGCtkR3E6w89a9N/mKDqIsPXP7sHfqRKaAr56MEHD5EX4dchKnbsRPeqAyBP83b1aYv+d8tkdg5JgzuP34laiO78sXyY6JE6qgTr0CWunyQHpAekB6QHpAekB6QHpAekB6QHpAekB6QHpAekB6gDwggWTNfSCBZDkepAekB6QHpAekB6QHpAekBxLlAQkkJ8ptf2shCST/re7+KRsLCAgAqQtny5ZN6d/z589x8+ZN/qM4Z86cKFiwIPLkyWMUIlYKqiIE94aFhSE0NJSrKdvY2KBIkSIc9lWZGY3GxMSA4GRSWM6XT6OUR8bPnj1D5syZv6kvRhtRZXz58gW3bt3C+/fvOcBMatHmBlKGpnMlgJvOkZSVEwpUJkeOHAYh6YTKJmX++/dfEHDpIV9uPLeFYXg3IRs1kBx7pxtTqv4LIUHP8JCBoaRMS8qnxgLVTcAQqd8RLBIV+RKxTCnTgoHEBQtlZmC8aVW84BtPOUz3CwNKRJg94zJb4v2/+HVkPHwm8sR+57YIBvvex9jxlRSQUOSZuycwM7+V8WtNS6bnyJUGyRlsnZiQUP3ku5dxH8wGznT7EMOWl7fMn8Ek4JVQH0Sdjx6+BSl2Vq+VTw8+FDaG9t97/alOAuHCQ58h4PJj9nx4D/vS2VG6bE6zryup/r579wVly+c01EWe9r1tGK34awYpLI769TQKF82MakxBOoKp7NL4ecPA9HfvPrPn0mc28eIzeya+AUHDT998QGxoV8TGvMKmDaEMFCxuVAXaWNvvWb3XGExOSqoEZNH525XMpkxYMFZOnU7XL4ipqlP/S5TMzpWS1fmG4mog+eoJN9iWyAZSFY68/ZI9hzIaVFWmeq5dfZyoc33z+hOus3uTnhG2dlm1gLMHzJ/GnnuG+v5PpCXFGKF+03gPYLDm7VtxKMqg4bLlcpp17vRcvsOey0VVysjCDy/jPiJjJs278tXLj7gV8QLPn32AFVPdpmdjsmTxz2VRRr2PYtf80aO3KMP6YgxgJ3u6VwPZ9c+aNTWKsL6LQPeNFVNMNtUOqcV+ZvB4Yq/z956j6H9ixxqdYx72bk6bzrAKPt3fMeyd+ZrtCzCfm3rfCr/96D35nN4HlvkycJXixLwDb0fE8edbYbb6A4Hh3xr+j737gJKqytf+/wOa2GSaJkjOICBBEZGgIKKigqiojIDgqGMcde7Mu+74/u/M3Lkz973LGcyOERUBE6CAgSwSBiSDkgUELjlnGhrun2fXPbWqurua6u5q6lT1d69F1wn7nLPrszdYrvX0r/Rvtv7NUChc673KhbUTTcvLetF/95ZdCPz/z4UPMW0u/Nup/55G2/RLKPq3s3nLqmH/Dde3SuT0dy3a+8a6X25//3N7lv5uexWqc+sXy3MX+7viPUu/TKLPjhsu/MJD4yaV3X8XypRN8U7zigACCCCAAAIIIIAAAggggAACCBS6AIHkADGB5EJfajwAAQQQQAABBBBITgECyf6fVwLJ/p8jRoiA3wWyBpL9Pl7Gh4CfBBTgf3j4DDtwoaLsxK/6XXRoCn726jne/u9znez2OxpftL/fOuQUSPbbGBkPAggggAACCCCAAAIIIIAAAggggAACCCCAAAKFIUAgOaBKILkwVhf3RAABBBBAAAEEioAAgWT/TzKBZP/PESNEwBN44fml9n/+3wJvN26vZw48EfbsSIHkUtVeDevHDgIImGX9+/PQA9Ptg8nrbfy7t9ht/RtFRTR8yDR77v/rFFZN2M9/30Lfc26BZD+/h6gmhk4IIIAAAghcELi1Sz2bMPl2LBBAAAEEEEAAAQQQQAABBBBAAIFsAgSSAyQEkrMtDQ4ggAACCCCAAAIIRCNAIDkapfj2IZAcX3+ejkBeBAgk50WLvgj4UyA0nKuvjW/X4yM30DmT77TOXWpddNA/bz5qvxw+zWbMviusr5/DvKHvmUBy2LSxgwACCCCQhAIEkpNwUnlLCCCAAAIIIIAAAggggAACCMRIgEByAJJAcowWFLdBAAEEEEAAAQSKmgCBZP/POIFk/88RI0TAzwLnzv2PVbvsDTt59pxVLF3S9u98xM/DZWwI+Epg9Q8HrP11gUByj7a17K13brCGjSvlOMbTpzJt4ueb7MWXlts//tHT2nVIz7Gf3w/efstEm/L9djfM76cNtPYdE/N9+N2Z8SGAAAIIIIAAAggggAACCCCAAAIIIIAAAgj4T4BAcmBOCCT7b20yIgQQQAABBBBAICEECCT7f5oIJPt/jhghAn4WWLFsr3Xq/WlwiP+9Zril1ygX3GcDAQRyF3j6idn2+kc/uk7Fi5k1rF7BmjasbE2bVra0tLK2d+9J27nrhH27cIdd0bSafTj2JqtZKzX3m/r07Pnz/2O16r1th06dcSP86B997M6BTX06WoaFAAIIIIAAAggggAACCCCAAAIIIIAAAggggEBsBQgkBzwJJMd2XXE3BBBAAAEEEECgyAgQSPb/VBNI9v8cMUIE/Chw9MgZ+37BLnthxDKbsXRHcIjXt69tDwxtZS0vr5qwFVyDb4YNBC6RwHtvr7aXX11uq//7cLYnppZKsXv6NrEHhl9unbvUynY+EQ6okvr3/9xl48dttFdG/xAccpMaFe2px9vZ5Rf+veh8bW0rWbJ48BwbCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggkmwCB5MCMEkhOtpXN+0EAAQQQQAABBC6RAIHkSwRdgMcQSC4AHpciUIQFNv90xGbP2h5RoELFUnb3vc0inucEAgiEC/zP/5itX3vQ/nv7cdu756TVqFnO6jeoaPUaVLBSpUqEd06wvVMnM+2j0etyHfU9g5pbavmSufbhJAIIIIAAAggggAACCCCAAAIIIIAAAggggAACiSxAIDkwewSSE3kVM3YEEEAAAQQQQCCOAgSS44gf5aMJJEcJRTcEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQTyKUAgOQBHIDmfC4jLEEAAAQQQQACBoi5AINn/K4BAsv/niBEigAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCS2AIHkwPwRSE7sdczoEUAAAQQQQACBuAkQSI4bfdQPJpAcNRUdEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQyJcAgeQAG4HkfC0fLkIAAQQQQAABBBAgkOz/NUAg2f9zxAgRQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBJbgEByYP4IJCf2Omb0CCCAAAIIIIBA3AQIJMeNPuoHE0iOmoqOCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAII5EuAQHKAjUByvpYPFyGAAAIIIIAAAggQSPb/GiCQ7P85YoQIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAoktQCA5MH8EkhN7HTN6BBBAAAEEEEAgbgIEkuNGH/WDCSRHTUVHBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEE8iVAIDnARiA5X8uHixBAAAEEEEAAAQQIJPt/DRBI9v8cMUIEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgcQWIJAcmD8CyYm9jhk9AggggAACCCAQNwECyXGjj/rBBJKjpqIjAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAC+RIgkBxgI5Ccr+XDRQgggAACCCCAAAIEkv2/Bggk+3+OGCECCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQGILEEgOzB+B5MRex4weAQQQQAABBBCImwCB5LjRR/1gAslRU9ERAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBfAkQSA6wEUjO1/LhIgQQQAABBBBAAAECyf5fAwSS/T9HjBABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAILEFCCQH5o9AcmKvY0aPAAIIIIAAAgjETYBActzoo34wgeSoqeiIAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBAvgQIJAfYCCTna/lwEQIIIIAAAggggACBZP+vAQLJ/p8jRogAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkNgCBJID80cgObHXMaNHAAEEEEAAAQTiJkAgOW70UT+YQHLUVHREAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgXwIEkgNsBJLztXy4CAEEEEAAAQQQQIBAsv/XAIFk/88RI0QAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQSGwBAsmB+SOQnNjrmNEjgAACCCCAAAJxEyCQHDf6qB9MIDlqKjoigAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCQLwECyQE2Asn5Wj5chAACCCCAAAIIIEAg2f9rgECy/+eIESKAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIJLYAgeTA/BFITux1zOgRQAABBBBAAIG4CRBIjht91A8mkBw1FR0RQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDIlwCB5AAbgeR8LZ/EvWjp0qV2+vTpXN9AsWLFrHTp0lamTBmrVKmS1apVy0qUKJHrNZxEAAEEEEAAgaInQCDZ/3NOINn/c8QIEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQSW4BAcmD+CCQn9jrO8+j37dtnu3btskWLFtmBAwfCrlf4WEHkjIwMO3nypJ09e9adT0lJsYYNG9q1115rNWrUCLuGHQQQQAABBBAougIEkv0/9wSS/T9HjBABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAILEFCCQH5o9AcmKv43yPfs+ePfb+++8Hr2/RooX169cvuK/wys6dO+27776z7du3B4/36NHDOnfuHNxnAwEEEEAAAQSKrgCBZP/PPYFk/88RI0QAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQSGwBAsmB+SOQnNjrON+jP3/+vD3//PPB61X9uGvXrsF9b+PcuXM2ZcoU+/HHH71D1r9/f2vevHlwnw0EEEAAAQQQKJoCBJL9P+8Ekv0/R4wQAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCxBQgkB+aPQHJir+MCjf6FF16wM2fOuHtECiTrZGZmpr344oumcLJaenq6DRs2zG3zAwEEEEAAAQSKrgCBZP/PPYFk/88RI0QAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQSGwBAsmB+SOQnNjruECjjzaQrIeMGTPG9JfGa7/5zW8sJSXF2+UVAQQQQAABBIqgAIFk/086gWT/zxEjRAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBIbAECyYH5I5Acw3X8/fffuyrCjRo1spo1a8bwztlvdfToUVu1apWdP3/eWrZsadWrV8/e6SJH8hJInjJliq1cuTJ4x0cffdQqVqwY3GcDAQQQQAABBIqeAIFk/885gWT/zxEjRAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBIbAECyYH5I5Aco3U8Z84c27dvX/BuV199tdWpUye4H8uNI0eOmMLPx44dc7etUqWK9ezZM8+PyEsgeeTIkcH3V7JkSXvmmWesWLFiuT7zxIkTtmvXLtu9e7eVKVPG0tPTnUnx4sUjXpeZmWk//vij7d2717SdlpZml112mZUvX949L7cQ9KlTp9x1e/bssTNnzrjnKagtn6xt//79blyhxzU+/fHamjVrXODb29dr7dq1rWrVqqGH3LaC4Rs2bLBy5cpZvXr1TOGfH374wY2ncePG1rBhw2zXZGRkmMYqo4MHD7r3WKtWLVP/i9keOnTIXaf3UalSJReAr1GjRrZnhB7QetF7OnDggKtuLRuN9ezZsy7QXqJEidDubCOAAAIIIHBRAQLJFyWKewcCyXGfAgaAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIJDkAgSSAxNMIDlGC12BHAVLQ1thhJIPHz7swsjHjx8PPkoh3d69ewf3o92INpCsYPGrr74avG3dunVt0KBBwf2sGwoSq6Lyxo0bXYDXC94qtKsQ7M0332wK3mZtCud+/vnnLkDcoUMHq1Chgm3dutXmzZvnwsm33367qwad9bpz587Z7NmzbenSpda8eXMXKta9tmzZ4oLJCjTfcsstYUFijUnzNW3aNFO4V61Lly7WrVu34O137Njh+sydO9fdRyduvPFGa9++fbCPwtarV6+2tWvXmpxuuOEGu+KKK+zTTz+17du3B/sNHz48rIq1+k+dOtVUTVueMlOAWaF2hbBvu+22sHC0dyNVxpaRwsWqwq2xK8ys1qxZM7cOFN7O2hTynjFjhrVo0cLatGnjnrd+/Xpbvny56/rEE09Yampq1svYRwABBBBAIFcBAsm58vjiJIFkX0wDg0AAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQSGIBAsmBySWQHKNFrmDq/Pnzs90tlqFkhU9VGVnB19DWqmVLa9mqVeihqLajCSTrWV988YXpL4xaSkqKDRkyJCxcG/owBWXHjx/vqv3ecccd5lXdVWj2o48+MgWpVSH5/vvvDwslq6Lxe++9Z6dPnzaFY73rdG+FkhXwVZC5devWoY8zBbQnTJjggrx33XWXqy7sdVDl3zFjxrgqxBq3Fxb2zutVIWYFddWyBpLdwQs/pk+fbsuWLXO7oYHkhQsX2rp169z9vb69evVyVgoYy0zBZ7U777zTmjRp4iou63kKCCtgrWNek9G7777r+qii9LBhwyy0IrQCzpqLK6+80q655hrvMleZeeLEie469Vf4uXTp0sHzCmd/+OGH1qBBA5NRaNOaVeD70UcfDXtWaB+2EUAAAQQQiCRAIDmSjH+OE0j2z1wwEgQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACB5BQgkByYVwLJMVzfWlQKDGdtsQglK6yqe588eTLs9vkNI+smuQWSFRzetm2bffvtty5ErP6qWNynT5+w0K+OhzYFhzXWhx56KCxUrD4//fSTCytrW1WAH3jggWAfVVNWsFgVfPv166cuYW3cuHHWtGlTV3049MTo0aNNlYxbXQhkq6pw1qaKwh988IFzUxBaz1SVZq+pSrBCvmqRAskKHn/33XeuT2ggWQcU8pk0aZILJmtfRl27drW2bdu6ZyrwrMrQOqaQ9aJFi5xpz5497aqrrtIlYU1+quyspgB1x44d3baCzW+99ZbVr1/fBZndwZAfs2bNssWLF7sjerbC216bOXOmLVmyJFt1Z51XdWlVv1bIvEqVKt4lvCKAAAIIIBCVAIHkqJji2olAclz5eTgCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQBEQIJAcmGQCyTFe7IURSj5w4IALI586dSpstAUJI+tGoYFkBYQVptUzVBVZlY7VFKKtXbu2CyF36NDBSpYs6Y7n9GPz5s322WefWefOna1Hjx7Zuij8OmLECBfQ1cnQisZe6FeVfR9//PFsz1m7dq0bm8bgtZUrV9qUKVPc7iOPPGKVK1f2ToW9eiFgHdR7UXXmYsWKuT7RBJIVBJ89e7brnzWQrIMrVqywqVOnuvMNGza0gQMHuu2sPxTyfvvtt917+9WvfuWqTWftoyrIH3/8sRvfvffea3Xq1HFdFIiW0d13322NGjXKepmrIq3rvPbss88GDb2Qc6SxaexyDQ1qe/fhFQEEEEAAgdwECCTnpuOPcwSS/TEPjAIBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIHkFCCQH5pZAciGs8ViGkvft2+eq6p4+fTpspAUNI+tmoYHk9PR0F35V+Hnr1q3BZ6nqsKoPR9NGjRplu3btcuHWqlWr5njJvHnzzHsv119/vXXq1Mn1W716tX355ZduW6Hh22+/3SpVqhS8h8LMCkpXrFgxeOz11193wWmFpn/zm98EQ8bBDv+7oetee+01V81YhwYNGmR169Z1Z2MRSFZYWlWS1bp16+YqLbudLD8UnlaIOlIVaK+7xqtqzmXLlnWH5KXxy0BmOpe1qY9svTZ06FCrWbOm2/3mm29s1apVbrtNmzbWu3fvYFhZB/U8Bc1LlSrl+vADAQQQQACBaAUIJEcrFb9+BJLjZ8+TEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSKhgCB5MA8E0gupPUei1Dy3r17XRg5IyMjbJSxCCPrhqGB5Guvvda6du1qmZmZpmCxgtBqCqmqovDFqueeP3/e/v73v7vqx02bNo0q3Fq/fn1TQFZN71HVgxWOVVOl5C5duljHjh1dlWZ3MOSHKjm//PLL7ojCzw899FDI2eybqh7sBa1DqxzHIpAceo/rrrvOrr766uwDuHDknXfeMQW+I1WQzvGiCwe3bdtmH330kQsNN2vWLFK3sOOqeKxgt9qOHTts9OjRwfPy0jg1TzQEEEAAAQQKIkAguSB6l+ZaAsmXxpmnIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggUXQECyYG5J5BciH8HChJK3rNnjwsjnzlzJmyEsQoj66Y5BZJ1/NChQ/bBBx+4kLD2K1eubKq4W6ZMGe3m2BS0VeBW7Re/+IWrtpxjx1wOKng7fvx4C33Pqojcs2dPa968ediV27dvt7Fjx7pj9erVs/vuuy/sfNadadOm2fLly91hhXVVJVgtNEysALQqHGdt33//vc2ePdsdDg0ze/1C7xEpkKzqxiNGjHCB7Uh9vPtlfdW4Nf6LVYLOel3o/qJFi+zbb78NPWSXXXaZ9enT56Jh87CL2EEAAQQQQCBEgEByCIZPNwkk+3RiGBYCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQNIIEEgOTCWB5EJe0vkJJe/evduFkc+ePRs2uliGkXXjSIFkndu4caNNmDBBm641aNDABg4caMWKFfMOhb1u2rTJxo0b547ddNNNdsUVV4Sdj3ZHlZm//vprk0Foa9Wqld1yyy3Basnr1q2ziRMnui5paWn24IMPhnbPtr1w4UL77rvv3HGFm/v37++2Q8PEhRlI3r9/v7377rvume3btzcFm6NtChIrUKz28MMPW5UqVaK9NKzfhg0bbPr06Xb8+PHg8eLFi5sC0ldddVXwGBsIIIAAAghEK0AgOVqp+PUjkBw/e56MAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIFA0BAgkB+aZQPIlWO95CSXv2rXLhU8zMzPDRhbrMLJunlsgWecV4FWQ12tXXnml9erVy9sNe1WAWFWV1Tp16mTXX3992Pm87Cg4o6rAc+fOtdOnTwcvDQ0SK7g8cuRId65UqVL2zDPPBPvltLFy5UqbMmWKO3XNNddY9+7d3falCiSfOHHCXn31VffMunXr2qBBg3IaZo7HQqsb33XXXda4ceMc+0VzMCMjw+bNm2fLli1z1Zq9a1QxWpWjaQgggAACCORFgEByXrTi05dAcnzceSoCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQNERIJAcmGsCyZdozUcTSt65c6cLI587dy5sVIURRtYDLhZIVoDl448/tm3btgXHoyrFbdq0Ce57Gwq6vvjii263YsWKrpJviRIlvNM5vu7YscNV+y1XrpwdO3bMUlNTTRV7vaYw8owZM2z16tXeIbvnnntM1ZplNGLEiGCo9tFHHzU9N1JbsGCBzZkzx52+7bbbTBWX1S5VIFnPko+c1IYPH27Vq1d325F+HDp0yPn89NNPNn78eNetRYsW1q9fv0iXBI/rmiZNmrj9I0eOWKVKlYLntHHgwAH78ssvg5WoFeqWYZkyZcL6sYMAAggggEBuAgSSc9PxxzkCyf6YB0aBAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIJC8AgSSA3NLIPkSrvHcQsnFihVzYeTz58+Hjaiwwsh6yMUCyeqjyr7vv/++HT9+XLumkLGq+9auXdvth/544403TOFXtZ49e9pVV10VejpsWxWOJ06caMOGDXP3VKCpTp06Vq9evbB+2lGQWIFitdDqxqNGjTJVlFZTxWOdi9SmT5/uqgIr8Pzwww8HA7qhgeRIFaC///57mz17trv1jTfeaO3btw97TOg9rrvuOrv66qvDzns7o0ePNoWw1Zo2bWoDBgzwTmV71ftavHix3X777c5Utl4bOnSo1axZ09vN9vrjjz+aAsn9+/d358aNG+e2U1JSwvqePXvWJkyYYD///LM77oW9wzqxgwACCCCAQC4CBJJzwfHJKQLJPpkIhoEAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkLQCBJIDU0sg+RIv8UihZAWSvcCIN6TCDCPrGc8//3ywwnDnzp2tR48e3qPDXjXmjz76KNi3fPnyplCsXkPb8uXLbdq0ae5Q6dKl7Y477rD69euHdnHbCjkrTNypUyfr2LGjO6ZAkyoiK8ictWVmZtrLL79sCtBef/317jr10bjGjBnjulepUsUFjbNe6+2//fbbdvDgQcsaOlZAWEFhNVVeVig3a1MlYa9Ks4xkFdqiDSSH9tP1HTp0sBtuuME096FN4/zkk09s4MCBVq1aNXdq0qRJtnbtWretysp33nlnMFQdeu327dvt008/tfvvv99q1KjhTqnKtd63VzE5a/+xY8e6QxcLOodexzYCCCCAAAISIJDs/3Xgfb4MfdW2fglO3zihz1dnzpxxn8P0y2E0BBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEMibAIHkgBeB5Lytm5j0jhRKDr15YYeRFf596aWXgo9s06aN3XLLLcH9rBtLliyxmTNnBg+rQvJ9991noVV3FWp566237OjRo66fgrYKHasacHp6up06dcpV450/f76r8KvAstcUaFq0aJE99NBDlpqa6h12rwrJvPbaay4sM3jw4LDqzFOmTLGVK1e6fpGqE3vBZd1X91dY2muhDqr+fPfddwdD1AoGa1yq+qx7qClgfe+993qXu1eFlRVaVlN1ZI0jUlO14k2bNgVP161b15o1a2a1atVyQaBt27bZ0qVLXTg8tML0/v37beTIkcHQepkyZaxbt26m6xXG1hjXrFljmicdVwDZawoka25U2Tpr+FkBZgWSZfLkk0+6atXedbwigAACCCBwMQECyRcTiv/50CCyRqN9AsnxnxdGgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCQPAIEkgNzSSA5Tms6t1ByYYeR9ZYXLFhgc+bMCb77smXL2gMPPGAVK1YMHsu6MXHiRFu3bl3w8GWXXWYDBgywcuXKBY/t3r3bxo8fb8ePHw8ey7qhEK2CvyVLlgyeUqBp7ty5lpaW5gK/oaFkBXRnzJiRrbqxLlZYWaFkVQ9W2FbjCa0EfOzYsWAVZQWgvarBwQdf2Jg6daqtWLHCHdI9VIFYQZ19+/a5asgNLlROVqjXazqvSsmNGzd2h0JD0Rq/HBVuzqnJ5fPPP7edO3fmdNq9BwWKr7nmmmznf/zxR/vmm2+ClaqzdbhwQAFwVZEObRr71q1brUWLFnbbbbdZ8eLF3Wm9R82pKjfLTcFxGgIIIIAAAnkRIJCcF6349NV/79VCX7VNheT4zAdPRQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBIPgECyYE5JZAcx7WdUyi5sMPICt9u2bLFVdTN+tYVVK1Zs6a1a9fOVDE5a1P4d9SoUXbgwIHgKV2jgHFo1WBVSJ48ebLt2LEjGH7RBarC2717d2vfvn22Sr0KNKk6sK49efKku2e1atVs8+bNbv/aa69148pa4dcbyA8//OAqOGdkZLhqzI0aNbITJ06461XNuW/fvmGVkb3r9JqZmemuVaVlL6xToUIF69q1q7Vt29aFeSdMmOAqGSvUqyrJqgytQLeqHe/duzf0di7UrT6qUqzK0FmbAkB6v8uWLXNVo73zCjr36tUrWKHZOx76KqOvv/462/xVrlzZbrrpphyvVVVmvS+FxTVuzZcqLCuIrDC5AswKXdMQQAABBBDIqwCB5LyKXfr+3meb0FdtE0i+9HPBExFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEklOAQHJgXgkkx3l9ayFu2LDBjaLWhTBwy1at4jyi2D1eAWaFYBUwVti2atWq2YLI3tMUJFZgWU3bhw4dstOnT5uCtpUqVYp4nXe9XhWu2b9/v+3Zs8cFfVUNWX+8+4b2zWlbAWZdr2rRCkN7VY71PtRKlSqV02UFOnb48GEXws7LOPVAjXXXrl3ORba5VbYOtdV1spVVlSpVrHz58gUaPxcjgAACCBRtAQLJ/p//0CCyRqt9/SGQ7P+5Y4QIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAokhQCA5ME8EkhNjvTJKBBBAAAEEEEDAdwIEkn03JdkGRCA5GwkHEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQiKkAgeQAJ4HkmC4rboYAAggggAACCBQdAQLJ/p9rAsn+nyNGiAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCQ2AIEkgPzRyA5sdcxo0cAAQQQQAABBOImQCA5bvRRP5hActRUdEQAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCBfAgSSA2wEkvO1fLgIAQQQQAABBBBAgECy/9cAgWT/zxEjRAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBIbAECyYH5I5Cc2OuY0SOAAAIIIIAAAnETIJAcN/qoH0wgOWoqOiKAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIJAvAQLJATYCyflaPlyEAAIIIIAAAgggQCDZ/2uAQLL/54gRIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggktgCB5MD8EUhO7HXM6BFAAAEEEEAAgbgJEEiOG33UDyaQHDUVHRFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEMiXAIHkABuB5HwtHy5CAAEEEEAAAQQQIJDs/zVAINn/c8QIEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQSW4BAcmD+CCQn9jpm9AgggAACCCCAQNwECCTHjT7qBxNIjpqKjggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCORLgEBygI1Acr6WDxchgAACCCCAAAIIEEj2/xogkOz/OWKECCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAKJLUAgOTB/BJITex0zegQQQAABBBBAIG4CBJLjRh/1gwkkR01FRwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBPIlQCA5wEYgOV/Lh4sQQAABBBBAAAEECCT7fw0QSPb/HDFCBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIHEFiCQHJg/AsmJvY4ZPQJjkgFdAABAAElEQVQIIIAAAgggEDcBAslxo4/6wQSSo6aiIwIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAvkSIJAcYCOQnK/lw0UIIIAAAggggAACBJL9vwYIJPt/jhghAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggEBiCxBIDswfgeTEXseMHgEEEEAAAQQQiJsAgeS40Uf9YALJUVPREQEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgXwJEEgOsBFIztfy4SIEEEAAAQQQQAABAsn+XwMEkv0/R4wQAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCxBQgkB+aPQHJir2NGjwACCCCAAAIIxE2AQHLc6KN+MIHkqKnoiAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQL4ECCQH2Agk52v5cBECCCCAAAIIIIAAgWT/rwECyf6fI0aIAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIJDYAgSSA/NHIDmx1zGjRwABBBBAAAEE4iZAIDlu9FE/mEBy1FR0RAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIF8CBJIDbASS87V8uAgBBBBAAAEEEECAQLL/1wCBZP/PESNEAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEhsAQLJgfkjkJzY65jRI4AAAggggAACcRMgkBw3+qgfTCA5aqqk67h582abOXNmTN5X+fLl7b777ot4r927d9vSpUtt48aN9tNPP7k/pUqVsiZNmljTpk3dn06dOlnFihUj3iO3E+fPn7c1a9bYvHnzbO3atXbw4EE7evSopaenW926da1evXrWqFEj69ixo6WmptqyZcvsww8/tBdeeCG323IOAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQiIkAgeQAI4HkmCwnboIAAggggAACCBQ9AQLJ/p9zAsn+n6PCGuFXX31lf/jDH8JuX6xYMVO4OCUlxTIyMuzkyZPuvI5XrlzZbZ84ccLOnDkTdl21atVs6tSpYce0c+7cORszZoy9+eab7n4tW7a0tm3b2hVXXGGnT5+2lStX2vLly23btm1WtWpV++1vf2u9e/fOdp/cDsyZM8deeeUV27Jli+tWpkwZa9WqlbVu3do9QwHl9evXuzGXKFHCateubTt27LCGDRvaJ598ktutOYcAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgjERIBAcoCRQHJMlhM3QQABBBBAAAEEip4AgWT/zzmBZP/PUWGNcMKECfbXv/7VKlWqZMOGDbMbbrjB0tLSXBhZz/z444/tb3/7m3t8uXLlTMFfrymorErHo0ePtlmzZlmFChXs22+/9U67V4WA//znP9u6detM1ZCfe+4569u3b1gf7ai68WuvvWYffPCBO9e9e3f713/9V6tevXq2vqEHFIr+t3/7N5sxY4Y7rMrHf/zjH03XK3gc2jIzM937efnll93zdE7B5EmTJoV2YxsBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBAoFAECyQFWAsmFsry4aX4FFH5QlbO9e/dag/r1reWF6mc0BBBAAAEEEPCnAIFkf85L6KgIJIdqFK3tsWPH2ogRI+yFF16wbt26ZXvzuQWSvc4KE//yl790oePQv++qevzYY4/Z2bNnXeVjPUcVi3NrCjb//ve/N4WHVXF51KhRVqNGjRwvOXXqlD3++OO2atUqd75evXruvTRo0CDH/t7BRYsWubDzkSNH3LimTZvmneIVAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQKDQBAskBWgLJhbbEuHF+BLZu3WpLliwJXtrqwtc+E0oOcrCBAAIIIICArwRCA4rxGJgqv5YuXdr9UYXWlJQUVznVey1WrJgVL17cDU2v2lfL+uoO/u8P71zosUTeJpCcyLNXsLG/9957NnPmTFflOKc7RRNI1nXz5s2zZ555xhYvXuxus3PnThsyZIgdPnzY7StkPGDAALd9sR+q2KzKzWrNmjWzkSNHWpkyZbJdphD1mDFj3PGqVavauHHjrGLFitn65XTghx9+sOHDh1vZsmXDqj7n1JdjCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQCwECCQHFAkkx2I1cY+YCezevdvmz58fdr94hJL3799vGktuTYElBSj09dH6U758+WDAKbfr4nlOVey2bdtmmzZtsh07driv747neOLxbAzioc4zEUAgWQUIJPt/Zgkk+3+OCmuEb7zxhqnCsSoZ59SiDSRnZGRYr169TBWOFfz/3e9+57Z1z/T0dJs4caKVLFkyp0dkO7Zr1y674447XJVkndTYFB4ObRs2bLD777/fjV3Hn332WRs0aFBol4tu/8d//IdNmjTJVDGZhgACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCBS2AIHkgDCB5MJeadw/zwLff/+96S9oaLvUoeSjR4+6wK7GsWLFimAgQmNS4KJChQruK6pPnz7tXnVcoeSWFyo6X3755VazZk0d8k07efKkC3qvXr3aFCpRU0XJp59+2jdjLOyBYFDYwtwfAQSKogCBZP/POoFk/89RYY1Qv4Smz6fVqlXL8RHRBpJ18apVq6x169bmhYW9G/72t7+1e+65x9uN6jW0SrI+Uys4rFc1BagfeOABW7NmjdtPS0tzgWd9bs1L27x5sw0cOND0b5RC1DQEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEECgMAUIJAd0CSQX5irj3vkW8EMo2Rv81KlTXShZ+6qK/Otf/9qFeb3zBw8eNAV9FyxYYF7op0+fPtauXTuvi29ez5w5Y++8844dO3asyAWSvUnAwJPgFQEEECi4AIHkghsW9h28zyahr9pW8PPcuXPuF6v030b9klWdOnUKezjc30cCeQkke8MeMWKEjR071ts1fU6OFHgOdsqyMWfOHFf12Dv8pz/9yfr27et2p02bZr///e+9U+5z9+DBg4P7ednQfRWYLleuXF4uoy8CCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCQZwECyQEyAsl5XjpccKkE/BJKVoVkhS3Ucqsq/NNPP7kKbpmZma5vv379rEWLFm7bTz8+/fRT27JlS67vxU/jLYyxYFAYqtwTAQSKogCBZP/PemgQWaPVPoFk/8/bpRhhfgLJd999t/scqfHpW0P0b4B+YS8vbf369faLX/wieMnNN99sf/7zn91+1sDzm2++aR07dgz2ZQMBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDwowCB5MCsEEj24+pkTEEBP4SS165d675KWoPKLZCs81988YUpZKHWrFkzu+OOO9y2n36MGzfONm3adNH34qcxx3osGMRalPshgEBRFSCQ7P+ZJ5Ds/zmK1wjzGkg+efKkde/ePTjc2rVrBz8jBw9GsXH48GG74YYbgj3r1atnEyZMcPuPP/646fO/1yZPnmy1atXydnlFAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEfClAIDkwLQSSfbk8GVSoQLxDyXkJJC9dutRmzJjhhl++fHlTqMJvjTCuGQZ+W5WMBwEEElWAQLL/Z45Asv/nKF4jzGsgeceOHaZvAPFahw4d7K233vJ28/TapUsXO3PmjLtGn5lnz57ttm+66Sbbv3+/2y5RooQtWLDAihcv7vb5gQACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCPhVgEByYGYIJPt1hTKuMIF4hpLzEkjeuHFjsMJbSkqKPfvss3n+GuuwN14IO4RxCSQXwrLilgggUEQFCCT7f+IJJPt/juI1wrwGktesWWNDhgwJDrdPnz72l7/8Jbifl43+/fub/ofca/qsf+LECevZs6d3yPJbgTl4AzYQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBSyRAIDkATSD5Ei04HlNwgXiFkvMSSFZ1N41TTSGKwYMH5/rGt2/fbqo2t2fPHjt9+rSlpaVZenq6NWnSxMqWLZvrtefOnbOffvrJXbt3714XfNa1+tO0adOI1eQiBZL1j+LWrVuzPbNYsWJ29dVXm6rUeU19V69ebddff72VKlXKBUg2bdrkgiV6H3Xq1LErr7wybAy6RkGWI0eOuPfZoEEDa9iwoXfLbK+7du2yJUuWmL7WOzMz0z2/Zs2a1qZNm4hf3X3q1Cn74YcfLCMjw7p16+Zef/zxR1u3bp17lqrxqcXCYMuWLbZ8+XL33lW5r1q1aqavHFe1v3bt2mV7PxxAAAEEklGAQLL/Z5VAsv/nKF4jzGsgWZ8777333uBwu3fvbiNGjAju52XjxhtvtIMHD7pL9Et8CxcutKNHj4YFki+77DKbOHFiXm5LXwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCAuAgSSA+wEkuOy/HhofgXiEUqONpB87NgxGzNmjAvc6v317dvXWrduneNbVWB22rRpphCvQrJ169a1AwcO2IYNG0xVllNTU01BjWbNmuV4vQIckyZNsrNnz9q1115rVapUcWFghYQVbq5Ro4Z7fvXq1bNdHymMq47Hjx+3N954w12j4G/9+vXd2DSeQ4cOuUCxAr4KCas99dRTtn79evv2229daPj8+fPuuH4ocHzPPfe4gO6XX37p3peCu6F9br31Vrv88suD13gbXrBbXwXeo0cPF3rWMz/99FM3xgEDBrj7q7/CyjJT2Hnz5s3u/i1btnR+mg/va7/VVwFxBcXza6B7qM2ZM8eFpTV+hccVDpfL9OnTXdh6+PDhgY78RAABBJJcgECy/yeYQLL/5yheI8xrIFmfVVUV2Wv6nDp27FhvN+pXfX7V519vberz6jfffOOuv+mmm4Kf3fS5cf78+VayZMmo701HBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIB4CBJID6gSS47H6eGaBBC51KPligWSFeHfu3OnCqNpWRWGFLLp27Zrj+zx58qSNGjXKBZcHDhyYrUrw1KlTbcWKFe5ahY2z3kdVlT/77DNXffihhx5y4WXvQQp4jB492lQxWSGOu+66K9v9cwvjKlisUHS/fv1M1YhDm/7R3Ldvny1YsMAUvlZr0aKFqSpx586dXVVkvf8pU6YEKy0rtLJy5UpXObhVq1amwImsPv/8c5ODKuI9/vjjVqZMmeCjQr2fffbZsBCKXOSj/k8++aR7j6qmJ5PFixe7MLZupArRCj43btzYPU9BbbVHHnnEKlWqlGsgOTcD3UPj//DDD12l5ltuuUWHgk1rc9WqVaZ5oSGAAAJFQYBAsv9n2Qt9hr5qW/+d1C/U6LODqvt733Dg/3fECGMlkNdAstbMdddd5z7DaQz6TDVz5sw8D0ffDqLPml5r27atjRw50u0+9thjtmjRIu+UjR8/3v2CXPAAGwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggIAPBQgkByaFQLIPFydDurjApQwlhwZkFTZWhV0FMvRHAdwTJ064AZcoUcKuuuoqVxW5WrVqEd+EqgUrINu8eXPr379/tn66rwLLqnSsUPHQoUMtPT3d9VNw6N1333XVinv37m2qIJy1KaD7zjvvuIBRxYoV7Ze//GVYqDenQLKeqSCxKi/feeedVrZs2ay3De6rOrBCyWpXXHGFq0SscXpNYeXXX3/d7SpwrPeoYHBoUzXjyZMnu0N6nqoMe83z0f7TTz9tpUuX9k7Zli1bXJVkHbj//vtNX+XttSNHjgSrO2ueFPZucKFKs5qqKyt8pUrSagUxUPhu7ty5dvXVV7tQjrvh//5QmEthZQLJoSpsI4BAMgsQSPb/7IYGkTVa7RNI9v+8XYoR5jWQrDHpl8X0WdBrqmAc+lnNO57b67Jly+zhhx8OdtHnJv3SmNrf//53++ijj4LnRowYYd27dw/us4EAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgj4UYBAcmBWCCT7cXUypqgELlUoOTSQrICtqhYrwKsKvwoj6+urVTlYTQFgBVVV6U19szZV8vW+2lqV4VRhOKemKrveV1fXqlXLhgwZ4rop9DFv3jy3rQrB5cqVy+lyCw31Zg3OZg3jqiriF1984ULLt912W47jDn2I3GfPnu0OaVwaX9b2xhtvuArQaWlp9uCDD2Y97QLVb731ljueNVi9adMm++qrr1xV5ayB7VC/O+64w/RV4aHtv/7rv9yuqjsryB2pFcRAFZRVuU/2CkV7IWfvWZojrREaAgggUBQECCT7f5YJJPt/juI1wvwEkvUtF3/5y1+CQ/7ggw/s8ssvD+5HszFhwgT761//Guz6/vvvu1/o04FZs2bZ7373u+A5fd577rnngvtsIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAn4UIJAcmBUCyX5cnYwpaoGcQsm33nprniu15fbA0ECyKsCpam/WpsrCqva2dOlSd0ph1W7dulm7du3CuipksXjxYndMgVkFZ3NqGRkZ9uqrr1pmZqY77VUKVmBDlZNLlizpKtTldK2O/fzzz/bJJ5+40zVq1LAHHnjAbetHaBhX1ZM/++wzV/X5xhtvNFUWvlgLDSRHeg+q8Lxr1y6LFEhWmPuVV15xj1LVu2uuuSbssQpPZR2LTBYuXOj+qHPfvn2D4RXvYlXVk1nTpk1twIAB3uFsrwUx2LBhgymMo1aqVClXITqvQZxsA+IAAgggkKACBJL9P3EEkv0/R/EaYX4CyfpFNv3C2N69e92w9Ytl//mf/xn1W9Av9elbLPRZVa1jx4725ptvum3vh6ole5+p9S0c+mW+0G/T8PrxigACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCPhFgEByYCYIJPtlRTKOfAnkFEhWlV8FRWPVogkke89asGBB2NdYKxSrcKzXPv30U9uyZYvbfeqpp6xs2bLeqWyvY8aMMf1DpTZ48GBXiVhfW63AbfXq1W348OHZrvEOKOzxt7/9zX0lu8LLzzzzTDDg64VxS5QoYampqXb06FFr1aqVyS2aFk0gWV+1vW3btoiB5FOnTtnLL7/sHtelSxcX3o70bAWbly9fbgp9K8DtBVRuueUWa9OmTdhl8jl79mzUgeT8Gijs7QVpNABVib7uuutcVeewAbGDAAIIJLkAgWT/TzCBZP/PUbxGqM9r+mUuNf0y3Zw5c6IayqRJk+zf//3fXV8FhvX5tkGDBlFdO23aNPv9738fvHbkyJHZfsFMn5Xvu+++4C/mde7c2f2iXlQPCOmkb9bQZ+YyZcqEHGUTAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQiL0AgeSAKYHk2K8t7niJBHIKI7dq2dJaXgjXxrLlJZCs57700kt2+vRpN4SsweF//OMfLgCsk08++aQLf7iOOfyYPHmyrVmzxp1RNeC6devaG2+84farVatmqm6cW3vttdfs+PHjrsujjz5qFStWdNteIFnVnuvXr2+q+KumCncdOnRw27n9iCaQrIp7W7duLVAgeceOHTZ37lxTJb4ePXq4seofbgW11WIRSM6vgULhX331la1bty6MqnXr1nbDDTfEtEJ32APYQQABBHwmQCDZZxOSw3AIJOeAwiEnoDDw66+/7rb1C2z6xbpo25/+9CfTZ1U1fYb861//Gvzlt0j30Ge6+++/3zZv3uy6PPvsszZo0KAcu+tz7HvvvRc898QTT5i+mSPrN2gEO2TZmD59uukX1fQLenyTRRYcdhFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIOYCBJIDpASSY760uOGlELhUYWS9l7wGkkOrICs0obBFSkqKYxk1apSp4q+aQhWq+Bupffvtt7Zo0SJ3+u6773aBZAUr1FQBWlWPc2sffPCB7d6923XRGBQ0UQsNJCuo/P7779vhw4dN1YIVCqldu7brF+nHpQgke5WmVV369ttvD/oVRiA5PwaezcaNG23GjBnBkLmOq1ryPffcQyjZQ+IVAQSSWoBAsv+nl0Cy/+coXiNUdWRVSfbarFmzgr/A5h2L9KpwsSodz54923Xp1auX/fGPf4z47R979+613/72t7Z69WpTVeVhw4aZPoNFavrGiz/84Q+mispe6969u3uG90t23vHQ15MnT5p+AVDX6ds4mjdvHnqabQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQKBQBAgkB1gJJBfK8uKmhSlwKcPIeh95DSR/+eWXLmzhGfz6178OflX0119/bT/88IM71a9fP2vRooXXLdurghTLly93x70Kx6qQfOTIEXfsYhWW33nnHTtw4IBVqlTJfvWrXwXvHxpIfvrpp23Pnj324Ycf2rlz51wIRUFpfW13pFbYgWTv/qmpqfb444+HVcIrjEByfgxCbVQtWcFxhfJkqHbVVVdZz549Q7uxjQACCCSlAIFk/08rgWT/z1E8Rrh//3574IEHgr+8pjHoc5eORVuF+Pz58+7bO/QLd/o81KxZM3ePNm3aBIPN+/btsyVLltgLL7xgBw8edH2ee+65qKoWa+2+/fbb7pfnFIBW0y/z9enTx1pd+EaUlhe+GUXfRqLPsvpmjZkzZ9qUKVOsTp06rjLyxX7Jzt2QHwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggEAMBAgkBxAJJMdgMXGLSydwqcPIemd5DSTr668VvlArXbq0KfDqNQUyFJZQUxhZoeRIbcKECaYKvGXLlrWnnnrKdfOOaefGG2+09u3bR7rcXnzxRcvIyHCV4fr37x/slzWQrBMrVqywqVOnuj5169a1e++911WvC14UsuEFhnUoUpXnjz/+2LZu3WppaWn24IMPhlwd2Dx16pSrWqe9Ll26WLdu3dwJBU9eeuklN+527dq5wEngisDPwgok6+7RGqh64DXXXJOtAuC2bdtM8yPzChUq2GOPPRY6dLYRQACBpBQgkOz/aSWQ7P85upQjVEVkhXb1GdML+YY+v0aNGta4cWP3TRwNGzYMPRVxW5/PFBz+7rvv7Pjx4y7QXL9+fTt9+rQLPKsisj5f6nPvL37xC/etHBFvlsMJfbuIftFO3x5y9OjRHHoEDnXo0MGGDBli1157bdSh6og34wQCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCQBwECyQEsAsl5WDR0ja9APMLIesdr1qyxyZMnuzefNWCcVUQhiTfffNNUMU4ta6hWwQ8FKo4dO+bCGE888USwenLovRQeev31112oo3fv3qaAhdru3btNVeh0vlatWi50EXqdt63KyHqOKtyp0l16erp3ynIKJOuk3qPeq5qCzgo859SiCSSPHTvWtm/fnudAsgInen9qrVu3tr59+4YNYcOGDfb555+7YzfffLO1bds27PyIESNMX/HdtGlTGzBgQNi50J2CGEyfPt0uu+wyV5kv9J7anjt3rquUrOrOmlsaAgggkOwCBJL9P8MEkv0/R8kyQn1TxI8//mg7d+60Q4cOuV/QatKkiTVq1Mj9kl5B36c+X+v+mzdvdtWWFX5WxWRVRG7QoIFREbmgwlyPAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAL5FSCQHJAjkJzfFcR1l1QgXmFkvcnQqsYpKSmu4nGJEiWyvf+TJ0+agrgKA6upSu7gwYPda2hnVaRTJV01BY0VOM7aFLT47LPP3NdQDxs2LKzKmyosa0xqqnzcvHnzrJfb7NmzTWY53f+TTz6xn3/+OVv1ZgV5P/jgg+D4e/ToYZ07d852b4XPFLxVGzRokKt4l7XTe++9Z3v37rVSpUo5r6xf/a0AyWuvveYuu/rqq+26665z2/rK7ffff99t61pV0fPC1Ko6/eWXX7r7qoOq33Xt2tUFkEuWLOmuef75510YvF69enbfffe5Yzn9KIiBAskKTmtus76vZcuWmc5fLBCd05g4hgACCCSiAIFk/88agWT/zxEjRAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBIbAECyYH5I5Cc2Ou4SIw+nmFkVXr7+OOPTf9geE0B2mbNmplCsAohq9rxli1bTNV7MzMzXTdVarvlllusSpUq3mVhrwpwzZs3z1U67tOnj6uk7HXQ/caMGWMKP6vKb9WqVb1T7lXBYQVz9TyNQaFdfb2217Zt2+bCzPqa7VtvvdWFgr1zqiz3xhtvuDHr2KOPPmoVK1b0Ttv+/ftNYWKvwrMCv126dAkL3ipMrVC1Wk6h5YyMDHvllVdMdmpDhw511evczv/+8ALX2q1evboNHz7cndFz9XyNw2uqdnfixAkrW7asq5j84Ycfuq8Y19d/q+qeqlbLOjTMrGMPP/ywlStXzrtN8LWgBgocK3h8+eWXu/F4oWQFvt6/EKY+cuSIq0pduXLl4DPZQAABBJJVgECy/2eWQLL/54gRIoAAAggggAACCCCAAAIIIIAAAggggAAC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

<$details summary="Secure Development">


Security issues need to be considered, including but not limited:

* secure transmission

[[Development process]]


</$details>


http://tobibeer.github.io/tw/enable-js/#script

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Security Tools' sort[title]>>
</div>

[img[Semantic_web_stack.svg.png]]
[[https://en.wikipedia.org/wiki/Semantic_Web_Stack]]

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

```
<$tidgraph start="Ontologies" layout="E" mode="tagging"/>

<$tidgraph start="Glossary OntoRisk FI" layout="E" mode="linking"/>

<$tidgraph start="Collaboration" layout="E" mode="tagging"/>

```

<<fold "!Example simple map -click" """

<$tidgraph start="Ontologies" layout="E" mode="tagging"/>

<$tidgraph start="Glossary" layout="E" mode="linking"/>

<$tidgraph start="Collaboration" layout="E" mode="tagging"/>
t""">>

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Specification' sort[title]>>
</div>

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<div class='tc-table-of-contents'>
<<toc-selective-expandable 'SRMS Resources' sort[title]>>
</div>

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

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Standards' sort[title]>>
</div>


<<fold "!Visual Navigation Standards" 

"""

<$tidgraph start="Standards" layout="E" mode="tagging"/>

"""
>>

<br>

Railroad diagrams

[[https://www.omg.org/spec/SysML/1.1/PDF/changebar]]
[[Use Case for risk assessment]]

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Tasks' sort[title]>>
</div>

[[aHome]]

```
<<fold "!Section One" """and here
comes the content""">><br>
<<fold "!Section Two" """has entirely
different content""">>
```

<<fold "!Section One" """and here
comes the content""">><br>
<<fold "!Section Two" """has entirely
different content""">>

<div class='header'>
<div class='headerShadow'>
<span class='siteTitle' refresh='content' tiddler='SiteTitle'></span> 
<span class='siteSubtitle' refresh='content' tiddler='SiteSubtitle'></span>
</div>
<div class='headerForeground'>
<span class='siteTitle' refresh='content' tiddler='SiteTitle'></span> 
<span class='siteSubtitle' refresh='content' tiddler='SiteSubtitle'></span>
</div>
</div>
<span id='topMenu' refresh='content' tiddler='TopMenu'></span>
<span id='topMenu' refresh='content' tiddler='TopMenu'></span> 

<div id='mainMenu' refresh='content' tiddler='MainMenu'></div>
<div id='sidebar'>
<div id='sidebarOptions' refresh='content' tiddler='SideBarOptions'></div>
<div id='sidebarTabs' refresh='content' force='true' tiddler='SideBarTabs'></div>
</div>
<div id='displayArea'>
<div id='messageArea'></div>
<div id='tiddlerDisplay'></div>
</div>

[[Test]]


```
<$details summary="This site is a work in progress" class="warning">
! bla bla
</$details>
```

<$details summary="This site is a work in progress" class="warning">
! bla bla
</$details>

```


{{Secure Development}}

{{Ontologies}

{{Risk Ontology}}

```
! Reference
[[https://intertwingularityslicendice.neocities.org/IntertwingularitySlicenDice.html#Componentization]]

{
    "2020 01 31 11:14:20": "hide",
    "2020 01 31 11:15:52": "hide",
    "Customize TiddlyBlink": "show",
    "How TiddlyBlink works": "hide",
    "How to add TiddlyBlink to your TiddlyWiki": "hide",
    "My notetaking process in TiddlyBlink": "hide",
    "This is crazy!": "hide",
    "4. Topics, sources and hiding?": "hide",
    "Test thing": "show"
}

This TiddlyWiki is based on:
[[https://joekroese.github.io/tiddlyroam/]]

[[https://pypi.org/project/tiddlyweb/]]

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'TiddlyWiki' sort[title]>>
</div>

[[Bookmarks]]

https://www.networkworld.com/article/2263176/applications-tiddlywiki-macros-and-plugins.html

[[simple map]]

\define sayhi(name:"Bugs Bunny" address:"Rabbit Hole Hill")
Hi, I'm $name$ and I live in $address$.
\end

```
<<fold "!Section One" """and here
comes the content""">><br>
<<fold "!Section Two" """has entirely
different content""">>

<$button class="tc-btn-invisible" popup=<<qualify "$:/temp/popup">>>
```

<<fold "!Section One" """and here
comes the content""">><br>
<<fold "!Section Two" """has entirely
different content""">>

```
<$button class="tc-btn-invisible" popup=<<qualify "$:/temp/popup">>>


!heading text
</$button>
<$reveal type="nomatch" state=<<qualify "$:/temp/popup">> text="">

section content goes here
</$reveal>

```

<$button class="tc-btn-invisible" popup=<<qualify "$:/temp/popup">>>


!heading text
</$button>
<$reveal type="nomatch" state=<<qualify "$:/temp/popup">> text="">

section content goes here
</$reveal>


! macros

```
\define sayhi(name:"Bugs Bunny" address:"Rabbit Hole Hill")
Hi, I'm $name$ and I live in $address$.
\end
```
```
\define sayhi(name:"Bugs Bunny") Hi, I'm $name$.

```

<<sayhi(>>

https://dynalist.io/d/Q1pCUeCLmPuoH4nbekbTFaED?success=copy

# In ToDo Tiddler#
## In "Type the text for this tiddler"##
<$list filter="[!has[draft.of]tag[task]!tag[done]sort[created]]">
<$checkbox tag="done">
<$link to={{!!title}}>
<$view field="title"/>
</$link>
</$checkbox>
</$list>

# In "Completed" Tiddler#
## In "Type the text for this tiddler"##
<$list filter="[!has[draft.of]tag[task]tag[done]sort[created]]">
<$checkbox tag="done"> ~~<$link to={{!!title}}><$view field="created" format="date" template="DDth mmm hh:mm"/> - <$view field="title"/></$link>~~</$checkbox>
</$list>

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'Tools' sort[title]>>
</div>

<<fold "Tools Visual Navigation" 
"""
<$tidgraph start="Tools" layout="E" mode="tagging"/>
"""
>>
<br>

<<fold "Visual Navigation" 
"""
{{Visual Menu}}
"""
>>
<br>

The top history tabs of wiki overlay with buttons and are not clickable

[img[Screenshot 2020-07-08 at 8.11.09 AM.png]]

! Topics of Interest (TOI)

<div class='tc-table-of-contents'>
<<toc-selective-expandable 'TOI' sort[title]>>
</div>

<$tidgraph start="Topic of Interest(TOI)" layout="E" mode="tagging"/>

<<fold "TOI Navigation" 
"""
<$tidgraph start="Topics of Interest" layout="E" mode="tagging"/>
"""
>>
<br>

<<fold "Tools Visual Navigation" 
"""
<$tidgraph start="Tools" layout="E" mode="tagging"/>
"""
>>
<br>

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

! Locator - included in this wiki
https://bimlas.gitlab.io/tw5-locator/

! Category List
https://ooktech.com/jed/ExampleWikis/CategoryList/

! list-search
https://tobibeer.github.io/tb5/#list-search

! GenTags Plugin
https://ooktech.com/jed/ExampleWikis/GenericTagFields/

! TiddlyMap - included in this wiki
http://tiddlymap.org/

! PlantUML - included in this wiki
http://tobibeer.github.io/tw5-plugins/#plantuml

! TiddlyLock  
http://www.minormania.com/tiddlylock/tiddlylock.html

! Innerwiki Demo

https://tiddlywiki.com/prerelease/plugins/tiddlywiki/innerwiki/

! GraphViz

https://github.com/chanilino/tw5viz

! AsciiDoc

https://bimlas.gitlab.io/tw5-asciidoctor/

[[https://www.reddit.com/r/TiddlyWiki5/wiki/pluginsandresources]]

{"dih":728520626,"data":"{\"image_urls\":{\"1NePDbD-NdskJExQk51dz_c5Qj97aKMfOkylkzg8\":\"filesystem:https://docs.google.com/persistent/docs/documents/1OcW3S53uGJY9HVrbF35ggcvp_ivu0QF5s-2KCPyWmvM/image/1NePDbD-NdskJExQk51dz_c5Qj97aKMfOkylkzg8\"},\"placeholder_ids\":{},\"cosmo_ids\":{\"1NePDbD-NdskJExQk51dz_c5Qj97aKMfOkylkzg8\":1}}","edi":"p_33_27dki2VLcSNSgdojmEB2f14HjX1hZT6o490Y_o-ZZ0-dbY1k-6t4DALy8i9uRwn5yBTOK1Zz36N6ItLKsGF5ndqouKAM-GohnsWScCS","dct":"kix","ds":false}

https://www.google.com/url?sa=i&url=https%3A%2F%2Fen.wikipedia.org%2Fwiki%2FSemantic_Web_Stack&psig=AOvVaw3u3HW2kKzJDPaoMcEi5tgT&ust=1594464824797000&source=images&cd=vfe&ved=0CAIQjRxqFwoTCNCiuMLCwuoCFQAAAAAdAAAAABAD

[[https://www.sciencedirect.com/science/article/pii/S0950584918300703]]

<<fold "Contents Navigation" 
"""
<$tidgraph start="Contents" layout="E" mode="tagging"/>
"""
>>
<br>

<<fold "!Development process Visual Navigation" 
"""
<$tidgraph start="Development process" layout="E" mode="tagging"/>
"""
>>
<br>

<<fold "!Ontologies Visual Navigation" 
"""
<$tidgraph start="Ontologies" layout="E" mode="tagging"/>
"""
>>
<br>
<<fold "!Glossary OntoRisk FI  Visual Navigation" 

"""
<$tidgraph start="Glossary OntoRisk FI" layout="E" mode="tagging"/>
"""
>>
<br>


<<fold "!Resources  Visual Navigation" 
"""
<$tidgraph start="Resources" layout="E" mode="tagging"/>
"""
>>
<br>

<<fold "!Tools Visual Navigation" 
"""
<$tidgraph start="Tools" layout="E" mode="tagging"/>
"""
>>
<br>

<$tidgraph start="Ontologies" layout="E" mode="tagging"/>
<$tidgraph start="Glossary OntoRisk FI" layout="E" mode="linking"/>
<$tidgraph start="Resources" layout="E" mode="tagging"/>
<$tidgraph start="Tools" layout="E" mode="tagging"/>

Visual Understanding Environment

[[https://pypi.org/project/WikklyText/]]

[[Example Plant UML]]

https://tiddlywiki.com/static/Macro%2520Definitions%2520in%2520WikiText.html